From c4e477f17b3f38443993513c3155320dff063dd9 Mon Sep 17 00:00:00 2001 From: SkalskiP Date: Tue, 13 Oct 2026 18:38:15 +0200 Subject: [PATCH] Rename the Gemini 4 Argon key from gemini-4-argon-eap to gemini-4-argon Argon is released, and gemini-4-argon is the id the Gemini API, the Roboflow google_gemini@v6 block and the Playground use for it. The -eap suffix (#64) recorded that the committed runs went through Google's early-access endpoint; that note moves to the models.yaml comment so the key matches the public model id everywhere downstream. Mechanical rename, no data changes: the 38 result files are moved and their "model" field rewritten, the registry, text release inventory and config test updated, web/benchmark_summary.json re-keyed, and the text leaderboard charts and manifest regenerated (the manifest fingerprints the text summary, which carries model keys). Inference hashes are unchanged: they exclude the key. Validation: ruff check and format pass; 336 tests pass; vlm-exam validate passes (existing legacy warnings only); vlm-exam summary --check matches. Co-authored-by: Cursor --- ...ini-4-argon-eap_high_20261012_230821.jsonl | 74 --- ...ini-4-argon-eap_high_20261012_230913.jsonl | 74 --- ...ini-4-argon-eap_high_20261013_064713.jsonl | 74 --- ...mini-4-argon-eap_low_20261012_223834.jsonl | 74 --- ...mini-4-argon-eap_low_20261012_223838.jsonl | 74 --- ...mini-4-argon-eap_low_20261012_223842.jsonl | 74 --- ..._gemini-4-argon_high_20261012_230821.jsonl | 74 +++ ..._gemini-4-argon_high_20261012_230913.jsonl | 74 +++ ..._gemini-4-argon_high_20261013_064713.jsonl | 74 +++ ...g_gemini-4-argon_low_20261012_223834.jsonl | 74 +++ ...g_gemini-4-argon_low_20261012_223838.jsonl | 74 +++ ...g_gemini-4-argon_low_20261012_223842.jsonl | 74 +++ ...ini-4-argon-eap_high_20261013_070134.jsonl | 250 -------- ...ini-4-argon-eap_high_20261013_074327.jsonl | 250 -------- ...i-4-argon-eap_high_20261013_074327_2.jsonl | 250 -------- ...mini-4-argon-eap_low_20261013_070835.jsonl | 250 -------- ...mini-4-argon-eap_low_20261013_071022.jsonl | 250 -------- ...mini-4-argon-eap_low_20261013_071120.jsonl | 250 -------- ..._gemini-4-argon_high_20261013_070134.jsonl | 250 ++++++++ ..._gemini-4-argon_high_20261013_074327.jsonl | 250 ++++++++ ...emini-4-argon_high_20261013_074327_2.jsonl | 250 ++++++++ ...n_gemini-4-argon_low_20261013_070835.jsonl | 250 ++++++++ ...n_gemini-4-argon_low_20261013_071022.jsonl | 250 ++++++++ ...n_gemini-4-argon_low_20261013_071120.jsonl | 250 ++++++++ ...ini-4-argon-eap_high_20261013_071307.jsonl | 97 --- ...ini-4-argon-eap_high_20261013_071359.jsonl | 97 --- ...ini-4-argon-eap_high_20261013_071605.jsonl | 97 --- ...mini-4-argon-eap_low_20261012_223722.jsonl | 97 --- ...mini-4-argon-eap_low_20261012_223724.jsonl | 97 --- ...mini-4-argon-eap_low_20261012_223726.jsonl | 97 --- ..._gemini-4-argon_high_20261013_071307.jsonl | 97 +++ ..._gemini-4-argon_high_20261013_071359.jsonl | 97 +++ ..._gemini-4-argon_high_20261013_071605.jsonl | 97 +++ ...n_gemini-4-argon_low_20261012_223722.jsonl | 97 +++ ...n_gemini-4-argon_low_20261012_223724.jsonl | 97 +++ ...n_gemini-4-argon_low_20261012_223726.jsonl | 97 +++ ...ini-4-argon-eap_high_20261012_230959.jsonl | 32 - ...ini-4-argon-eap_high_20261012_231035.jsonl | 32 - ...ini-4-argon-eap_high_20261012_231059.jsonl | 32 - ...mini-4-argon-eap_low_20261012_224142.jsonl | 32 - ...mini-4-argon-eap_low_20261012_224146.jsonl | 32 - ...mini-4-argon-eap_low_20261012_224148.jsonl | 32 - ..._gemini-4-argon_high_20261012_230959.jsonl | 32 + ..._gemini-4-argon_high_20261012_231035.jsonl | 32 + ..._gemini-4-argon_high_20261012_231059.jsonl | 32 + ...n_gemini-4-argon_low_20261012_224142.jsonl | 32 + ...n_gemini-4-argon_low_20261012_224146.jsonl | 32 + ...n_gemini-4-argon_low_20261012_224148.jsonl | 32 + ...ini-4-argon-eap_high_20261012_225050.jsonl | 37 -- ...ini-4-argon-eap_high_20261012_225128.jsonl | 37 -- ...ini-4-argon-eap_high_20261012_225132.jsonl | 37 -- ...mini-4-argon-eap_low_20261012_223715.jsonl | 37 -- ...mini-4-argon-eap_low_20261012_223717.jsonl | 37 -- ...mini-4-argon-eap_low_20261012_223719.jsonl | 37 -- ..._gemini-4-argon_high_20261012_225050.jsonl | 37 ++ ..._gemini-4-argon_high_20261012_225128.jsonl | 37 ++ ..._gemini-4-argon_high_20261012_225132.jsonl | 37 ++ ...r_gemini-4-argon_low_20261012_223715.jsonl | 37 ++ ...r_gemini-4-argon_low_20261012_223717.jsonl | 37 ++ ...r_gemini-4-argon_low_20261012_223719.jsonl | 37 ++ ...ini-4-argon-eap_high_20261013_071611.jsonl | 151 ----- ...ini-4-argon-eap_high_20261013_071812.jsonl | 151 ----- ...ini-4-argon-eap_high_20261013_072018.jsonl | 151 ----- ...mini-4-argon-eap_low_20261012_224150.jsonl | 151 ----- ...mini-4-argon-eap_low_20261012_224152.jsonl | 151 ----- ...mini-4-argon-eap_low_20261012_224154.jsonl | 151 ----- ..._gemini-4-argon_high_20261013_071611.jsonl | 151 +++++ ..._gemini-4-argon_high_20261013_071812.jsonl | 151 +++++ ..._gemini-4-argon_high_20261013_072018.jsonl | 151 +++++ ...g_gemini-4-argon_low_20261012_224150.jsonl | 151 +++++ ...g_gemini-4-argon_low_20261012_224152.jsonl | 151 +++++ ...g_gemini-4-argon_low_20261012_224154.jsonl | 151 +++++ ...ini-4-argon-eap_high_20261013_072221.jsonl | 600 ------------------ ...mini-4-argon-eap_low_20261012_232137.jsonl | 600 ------------------ ..._gemini-4-argon_high_20261013_072221.jsonl | 600 ++++++++++++++++++ ...t_gemini-4-argon_low_20261012_232137.jsonl | 600 ++++++++++++++++++ src/vlm_exam/configs/models.yaml | 5 +- src/vlm_exam/configs/text_release.json | 6 +- tests/test_config.py | 2 +- .../text_localization_recognition_high.png | Bin 857653 -> 759298 bytes .../text_localization_recognition_low.png | Bin 885623 -> 786439 bytes .../leaderboards/text_manifest.json | 52 +- .../leaderboards/text_single_string_high.png | Bin 860568 -> 763741 bytes .../leaderboards/text_single_string_low.png | Bin 892725 -> 792277 bytes .../leaderboards/text_structured_high.png | Bin 869282 -> 771133 bytes .../leaderboards/text_structured_low.png | Bin 901239 -> 800867 bytes .../leaderboards/text_transcription_high.png | Bin 868783 -> 769703 bytes .../leaderboards/text_transcription_low.png | Bin 899325 -> 797836 bytes web/benchmark_summary.json | 8 +- 89 files changed, 5083 insertions(+), 5082 deletions(-) delete mode 100644 results/counting_gemini-4-argon-eap_high_20261012_230821.jsonl delete mode 100644 results/counting_gemini-4-argon-eap_high_20261012_230913.jsonl delete mode 100644 results/counting_gemini-4-argon-eap_high_20261013_064713.jsonl delete mode 100644 results/counting_gemini-4-argon-eap_low_20261012_223834.jsonl delete mode 100644 results/counting_gemini-4-argon-eap_low_20261012_223838.jsonl delete mode 100644 results/counting_gemini-4-argon-eap_low_20261012_223842.jsonl create mode 100644 results/counting_gemini-4-argon_high_20261012_230821.jsonl create mode 100644 results/counting_gemini-4-argon_high_20261012_230913.jsonl create mode 100644 results/counting_gemini-4-argon_high_20261013_064713.jsonl create mode 100644 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results/reasoning_gemini-4-argon_low_20261012_224152.jsonl create mode 100644 results/reasoning_gemini-4-argon_low_20261012_224154.jsonl delete mode 100644 results/text_gemini-4-argon-eap_high_20261013_072221.jsonl delete mode 100644 results/text_gemini-4-argon-eap_low_20261012_232137.jsonl create mode 100644 results/text_gemini-4-argon_high_20261013_072221.jsonl create mode 100644 results/text_gemini-4-argon_low_20261012_232137.jsonl diff --git a/results/counting_gemini-4-argon-eap_high_20261012_230821.jsonl b/results/counting_gemini-4-argon-eap_high_20261012_230821.jsonl deleted file mode 100644 index b69fc33..0000000 --- a/results/counting_gemini-4-argon-eap_high_20261012_230821.jsonl +++ /dev/null @@ -1,74 +0,0 @@ -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 0, "image": "f0d4c0bf-3a21-41a5-b0c2-c33b94feadb4_input-input-1771859752511-bk56l0pe1_png_jpg.rf.4af05c5fc1bdd4926894682e94c4b7b1.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1139, "output_tokens": 166, "elapsed_seconds": 5.032225499977358, "metadata": {"question": "How many vertical metal locking bars run down the back of the container doors? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.1348}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 1, "image": "63b26fc7-8349-4fbc-a0ad-e9d46bf28979_input-input-1769103313709-j5jk2uqdi_png_jpg.rf.a410e069cd682ad340d9504a57fce39d.jpg", "expected": "8", "predicted": "9", "correct": false, "input_tokens": 1145, "output_tokens": 1281, "elapsed_seconds": 13.603470791946165, "metadata": {"question": "How many of the orange blister pockets in the pack are open (already emptied, with no capsule remaining)? Output the final count as a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 13.6598}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 2, "image": "6c44004a-c031-4396-a931-9a863a8802d2_png_jpg.rf.78a91a481b9044d0bc75154221a7ac45.jpg", "expected": "six", "predicted": "six", "correct": true, "input_tokens": 1147, "output_tokens": 250, "elapsed_seconds": 5.075921457959339, "metadata": {"question": "How many circular icons are visible in the horizontal menu bar directly above the \"Expenses (UK-Bank)\" title? Answer strictly with a spelled-out word.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.1354}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 3, "image": "4f2b6aab-f1c1-4f16-b3ca-bbe4d399a897_input-input-1773381300920-0uaf4zno9_png_jpg.rf.0a20aa6813607730b27a12060a642dbb.jpg", "expected": "15", "predicted": "15", "correct": true, "input_tokens": 1185, "output_tokens": 203, "elapsed_seconds": 4.023463207995519, "metadata": {"question": "How many small, square white bowls are arranged on the fully visible metal tray positioned in the top right area of the image? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.073}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 4, "image": "26584325-f95e-41e4-9f4b-99afc5ff078d_png_jpg.rf.9a3624b41cfb86cab6301d79694fbf6d.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1153, "output_tokens": 525, "elapsed_seconds": 7.297271291026846, "metadata": {"question": "How many checkmarks are visible in the \"NEED\" column of the \"SERVICES:\" table on the left? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.3777}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 5, "image": "c56ead6c-0697-4216-a27e-fbd28c19aaed_input-input-1781393738001-e3qhlmchi_png_jpg.rf.9ab190943804e3d54fa1136c7886e772.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1186, "output_tokens": 176, "elapsed_seconds": 3.5954923749668524, "metadata": {"question": "How many distinct horizontal tire sidewalls are stacked in the image? Output the final count as a single integer (e.g., 5).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.6402}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 6, "image": "003df5d3-f7ea-4567-8055-8733d3b39a27_input-input-1780991138503-fltoik3ij_png_jpg.rf.cf4d02bc406dbf7decf23b5678d8956d.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1169, "output_tokens": 415, "elapsed_seconds": 7.552264500060119, "metadata": {"question": "How many workers are visible in the warehouse? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.6055}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 7, "image": "4cf40711-7419-4961-8920-88715c8b601f_input-input-1777166096829-s1ov2lkxh_png_jpg.rf.990c23aecc8702b0cfa58e90a8441f46.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1180, "output_tokens": 437, "elapsed_seconds": 6.7433062919881195, "metadata": {"question": "How many rectangular black plates with a 2x4 stud configuration are clearly visible in the image? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.7967}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 8, "image": "4cf40711-7419-4961-8920-88715c8b601f_input-input-1777166096829-s1ov2lkxh_png_jpg.rf.990c23aecc8702b0cfa58e90a8441f46.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1178, "output_tokens": 637, "elapsed_seconds": 8.909787415992469, "metadata": {"question": "How many individual round white tiles printed with a black eye pattern are visible in the assortment? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.9642}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 9, "image": "4cf40711-7419-4961-8920-88715c8b601f_input-input-1777166096829-s1ov2lkxh_png_jpg.rf.990c23aecc8702b0cfa58e90a8441f46.jpg", "expected": "2", "predicted": "3", "correct": false, "input_tokens": 1175, "output_tokens": 676, "elapsed_seconds": 9.829349667066708, "metadata": {"question": "How many distinct, whole animal figures are visible among the scattered LEGO pieces? Output the final count as a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 9.8875}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 10, "image": "33299f4b-1857-4400-a31d-677ecd2c277a_input-input-1771415890481-7pfiombu0_png_jpg.rf.5df1a4fcae6b4c6acd16051c660f783f.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1151, "output_tokens": 525, "elapsed_seconds": 8.963324625045061, "metadata": {"question": "How many red directional arrows are painted on the large grey pipes in the foreground? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.0213}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 11, "image": "48fa18cc-eee4-4e13-9647-318c7155420c_png_jpg.rf.8a732d4c26a0198146370e4b98476551.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1143, "output_tokens": 1992, "elapsed_seconds": 21.509401749935932, "metadata": {"question": "How many rows in the main table have a blue background? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 21.5858}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 12, "image": "c9b00dcb-e093-43d9-baf8-f1971ff328af_input-input-1769103177177-3x5hfzwbp_png_jpg.rf.5036bc0df858e9911be4fa08e6b80a40.jpg", "expected": "22", "predicted": "22", "correct": true, "input_tokens": 1145, "output_tokens": 827, "elapsed_seconds": 8.845777958980761, "metadata": {"question": "How many intact capsules remain in the blister pack across all rows? Output the final count as a single integer (e.g., 15).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.9003}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 13, "image": "056e17c9-9b46-496a-9cf8-c1b54bd73216_png_jpg.rf.1e94f330e43f2a21d12e145273ac3f94.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1163, "output_tokens": 536, "elapsed_seconds": 6.868334332946688, "metadata": {"question": "How many files or folders are listed directly inside the \"app\" directory in the file explorer on the right side? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.907}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 14, "image": "db35c41c-a9ed-41bc-96cf-60186d715477_input-input-1774653477270-a4j6j7v6e_png_jpg.rf.81a4c1ac6254af08518ea58b5137ed9c.jpg", "expected": "8", "predicted": "8", "correct": true, "input_tokens": 1184, "output_tokens": 2030, "elapsed_seconds": 28.03571266599465, "metadata": {"question": "How many workers are standing or kneeling directly on the rebar grid inside the excavated pit? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 28.0883}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 15, "image": "db35c41c-a9ed-41bc-96cf-60186d715477_input-input-1774653477270-a4j6j7v6e_png_jpg.rf.81a4c1ac6254af08518ea58b5137ed9c.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1185, "output_tokens": 311, "elapsed_seconds": 9.156048207893036, "metadata": {"question": "How many workers are standing together on the dirt level directly in front of the white crane? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.2069}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 16, "image": "db35c41c-a9ed-41bc-96cf-60186d715477_input-input-1774653477270-a4j6j7v6e_png_jpg.rf.81a4c1ac6254af08518ea58b5137ed9c.jpg", "expected": "0", "predicted": "0", "correct": true, "input_tokens": 1180, "output_tokens": 1402, "elapsed_seconds": 19.93704862508457, "metadata": {"question": "How many workers are not wearing head protection (a hard hat)? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 19.9862}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 17, "image": "1b4e5426-d109-4398-8e45-ab1dc497980f_png_jpg.rf.77e9ea61b4fcfb4286af38f0a02211c8.jpg", "expected": "12", "predicted": "12", "correct": true, "input_tokens": 1182, "output_tokens": 476, "elapsed_seconds": 5.849083665991202, "metadata": {"question": "How many red circles are drawn around lowercase letters in the table? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.8862}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 18, "image": "21a6d806-d16e-4452-a2e3-7fa520bd671d_input-input-1769360430457-50a88jpis_png_jpg.rf.686e67d06dd1f487be5dc88fff5e7bc3.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1149, "output_tokens": 631, "elapsed_seconds": 10.219117625034414, "metadata": {"question": "How many individual screws are visibly resting inside the plastic bin labeled \"DIN 912 M8 x 30\"? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.3385}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 19, "image": "020c3db8-dcc2-40e0-bf26-c874edb1612b_png_jpg.rf.ac73a13cb831f0a2f94ea3824f41a47d.jpg", "expected": "11", "predicted": "11", "correct": true, "input_tokens": 1176, "output_tokens": 746, "elapsed_seconds": 9.093371500028297, "metadata": {"question": "How many items are listed under the 'DRY GOODS' section header in the table? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.1462}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 20, "image": "1ad1c779-b18f-4aaa-9cf0-6155cb19879b_input-input-1769444672197-ug2bdacps_png_jpg.rf.f23a8a19a08199a726f99d7a1549be63.jpg", "expected": "15", "predicted": "15", "correct": true, "input_tokens": 1167, "output_tokens": 262, "elapsed_seconds": 4.158651417004876, "metadata": {"question": "How many round pills are visible in the blister pack on the right side of the image? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.1735}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 21, "image": "2e15743f-6bc8-4cce-8ec0-66eea3a6ca2f_input-input-1779607392296-qwxxnltdb_png_jpg.rf.608695980e866c196074445d3c3449ce.jpg", "expected": "0", "predicted": "0", "correct": true, "input_tokens": 1178, "output_tokens": 490, "elapsed_seconds": 8.289141083019786, "metadata": {"question": "How many water bottles with blue caps are visible on the bottom shelf? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.3256}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 22, "image": "214d5a30-f38a-4509-bd53-1e3ea49f9c8b_png_jpg.rf.b1c6d3fc8fd27d8b69dffde40d80310c.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1149, "output_tokens": 577, "elapsed_seconds": 6.94071158405859, "metadata": {"question": "How many blue pen marks/ticks are visible in the 'WITHDRAWALS' column? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.0042}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 23, "image": "403906f1-d101-4a15-b0b3-43f90df6b13e_input-input-1780067976213-f8fki9qzj_png_jpg.rf.aa03e3dd2a567694bf8badd574e32ae3.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1174, "output_tokens": 338, "elapsed_seconds": 6.834600166068412, "metadata": {"question": "How many white tables are located between the facing seats in the carriage? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.9303}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 24, "image": "0f7a1b1b-b0f9-4dba-9659-0455701b7a3f_png_jpg.rf.ab769bd32b93fa65b7df75c6ec1ef3cd.jpg", "expected": "five", "predicted": "five", "correct": true, "input_tokens": 1152, "output_tokens": 619, "elapsed_seconds": 7.052901625051163, "metadata": {"question": "How many checkmarks are written in the column labeled \"4\" in the evaluation table? Answer strictly with a spelled-out word (e.g., \"one\", \"two\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.067}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 25, "image": "d489f405-013e-4e8b-968a-1d9db2060050_png_jpg.rf.be190d9e1ea972d827d8c52c3391f1fd.jpg", "expected": "9", "predicted": "9", "correct": true, "input_tokens": 1167, "output_tokens": 210, "elapsed_seconds": 3.864865291980095, "metadata": {"question": "How many handwritten checkmarks are visible in the left margin next to the line numbers (LNO)? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.8799}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 26, "image": "1b411f19-76c2-4028-b3ab-832256b9fb5e_input-input-1779844698418-8rz7uj6gh_png_jpg.rf.4d2907a675bb4eca3f3ae3a40822117f.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1144, "output_tokens": 308, "elapsed_seconds": 11.82706441602204, "metadata": {"question": "How many brown cardboard boxes prominently labeled \"Real-Kill\" are visible on the top storage shelf? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.9422}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 27, "image": "1b411f19-76c2-4028-b3ab-832256b9fb5e_input-input-1779844698418-8rz7uj6gh_png_jpg.rf.4d2907a675bb4eca3f3ae3a40822117f.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1146, "output_tokens": 910, "elapsed_seconds": 19.173872792045586, "metadata": {"question": "How many green and white \"Bug B-gon\" jugs are visible on the fourth shelf from the top? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 19.2903}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 28, "image": "02eaa1d1-ffaf-46f3-b9ef-b7ab3551b738_input-input-1777971607736-x33g85l3u_png_jpg.rf.4056fc9b233d537c46ed68224f3f2e27.jpg", "expected": "15", "predicted": "11", "correct": false, "input_tokens": 1176, "output_tokens": 1431, "elapsed_seconds": 18.749870542087592, "metadata": {"question": "How many tiles are missing from the wall? Output the final count as a single integer (e.g., 3).", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 18.804}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 29, "image": "25e6ed9c-2d37-4533-8021-977770aa97d1_input-input-1780691294811-oql9y0w9f_png_jpg.rf.36701f4301765d1397e29a5f8d8f9471.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1172, "output_tokens": 303, "elapsed_seconds": 4.756788208032958, "metadata": {"question": "How many green gas cylinders are present in the truck bed? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.8095}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 30, "image": "76d985c4-8ba2-4660-871b-939bba136896_input-input-1774985116190-hco0gpvmt_png_jpg.rf.e2a22365c854e0212534e5a8675bb4c9.jpg", "expected": "7", "predicted": "7", "correct": true, "input_tokens": 1167, "output_tokens": 1131, "elapsed_seconds": 14.894805041025393, "metadata": {"question": "How many bullet holes are located entirely or partially within the large black circular area of the target? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 14.9893}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 31, "image": "76d985c4-8ba2-4660-871b-939bba136896_input-input-1774985116190-hco0gpvmt_png_jpg.rf.e2a22365c854e0212534e5a8675bb4c9.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1170, "output_tokens": 693, "elapsed_seconds": 10.08724429202266, "metadata": {"question": "How many bullet holes are visibly piercing the off-white outer area in the lower right quadrant of the image? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.1814}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 32, "image": "0e3ca6d7-7301-474e-bad2-3bc3a9aa7140_input-input-1780425165960-zu9asq91k_png_jpg.rf.7dd6f9559d3f83a1e451dd68ab07f639.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1181, "output_tokens": 430, "elapsed_seconds": 6.31717854202725, "metadata": {"question": "How many large, circular white feeding trays are attached to the thicker pipe running diagonally on the right side? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.3746}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 33, "image": "d0b99ce8-8a3b-4d1d-98d4-b34137b19f08_input-input-1768805031339-rs4dctz0p_png_jpg.rf.bbdc304ba5f61cb85ea823bce3f757b9.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1174, "output_tokens": 306, "elapsed_seconds": 8.048246416961774, "metadata": {"question": "How many women are depicted on the stamp labeled \"WOMEN IN OUR ARMED SERVICES\" in the bottom row? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.1452}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 34, "image": "d0b99ce8-8a3b-4d1d-98d4-b34137b19f08_input-input-1768805031339-rs4dctz0p_png_jpg.rf.bbdc304ba5f61cb85ea823bce3f757b9.jpg", "expected": "28", "predicted": "28", "correct": true, "input_tokens": 1170, "output_tokens": 966, "elapsed_seconds": 11.023597458028235, "metadata": {"question": "How many stamps in the display show a 3\u00a2 (three-cent) denomination? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.1197}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 35, "image": "d0b99ce8-8a3b-4d1d-98d4-b34137b19f08_input-input-1768805031339-rs4dctz0p_png_jpg.rf.bbdc304ba5f61cb85ea823bce3f757b9.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1165, "output_tokens": 1126, "elapsed_seconds": 13.955292667029426, "metadata": {"question": "How many predominantly purple or violet stamps are visible in the display? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 14.0519}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 36, "image": "3cc9dff1-0e00-4900-9013-00d7b1be6a09_input-input-1779942886819-2wwj3rkhy_png_jpg.rf.2b0fb18f9f03d4dead03ef88ead19450.jpg", "expected": "8", "predicted": "8", "correct": true, "input_tokens": 1183, "output_tokens": 398, "elapsed_seconds": 7.555644916952588, "metadata": {"question": "How many runners are visible on the track? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.5732}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 37, "image": "76bbc10c-bed4-41d3-8622-035eeabc5596_input-input-1769119181178-immkwkrpv_png_jpg.rf.9e45cd4a9160b72762d9d1091e937e81.jpg", "expected": "22", "predicted": "22", "correct": true, "input_tokens": 1137, "output_tokens": 3036, "elapsed_seconds": 23.713369917008094, "metadata": {"question": "How many lens-box slots in the display grid are empty? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 23.8243}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 38, "image": "1e37f04c-e13e-4595-8119-71801b83924e_png_jpg.rf.88d495e552edc70aa4a9fd4db0b6f2a4.jpg", "expected": "8", "predicted": "7", "correct": false, "input_tokens": 1153, "output_tokens": 495, "elapsed_seconds": 10.57102204207331, "metadata": {"question": "How many grey boxes are provided for entering the \"Amount Enclosed\" in the payment stub at the bottom right? Output the final count as a single integer (e.g., 3).", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 10.6897}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 39, "image": "f0db827b-688f-45e5-b6d0-991c49108a4e_input-input-1771013479121-jj5wfnran_png_jpg.rf.78c029e9c9141b5c35558d767cf94681.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1143, "output_tokens": 780, "elapsed_seconds": 11.760686167050153, "metadata": {"question": "How many abnormal or defective candies are visible in the image? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.825}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 40, "image": "c1300d50-94fc-4081-b871-8338cef58e16_input-input-1778695950497-jbtexy630_png_jpg.rf.21ec9923369fc4380c0cc3c8aba1d9c1.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1179, "output_tokens": 648, "elapsed_seconds": 10.275000541936606, "metadata": {"question": "How many players wearing blue jerseys are visible on the ice? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.3142}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 41, "image": "0212eb3d-e4b1-4ef4-9204-e920654bf677_input-input-1778110710064-oqhw5zz8j_png_jpg.rf.2faf044c9ba90e69aaaae8eaceafe6d4.jpg", "expected": "seven", "predicted": "seven", "correct": true, "input_tokens": 1150, "output_tokens": 687, "elapsed_seconds": 9.013059290940873, "metadata": {"question": "How many green \"Price Cut\" promotional tags are visible across the entire display? Answer strictly with a spelled-out word (e.g., \"one\", \"two\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.1312}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 42, "image": "4409ba1c-5b55-47e4-8fb3-ed245021d0bb_input-input-1776892569933-6scj88bzo_png_jpg.rf.92cb44b13f714204abf3b13ac1190860.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1147, "output_tokens": 262, "elapsed_seconds": 4.333569583017379, "metadata": {"question": "How many item refund lines with negative pound amounts are listed under 'Online Return'? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.4035}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 43, "image": "20c6f561-491b-44ca-a96a-8f6d926b8307_png_jpg.rf.1bae1396728629da79305bdaaffa6fbb.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1142, "output_tokens": 582, "elapsed_seconds": 7.333719165995717, "metadata": {"question": "How many bottles are crushed or dented? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.3709}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 44, "image": "097f7d52-0fd1-4385-9ec4-65a9ee83d81b_input-input-1776852419339-bqf3nz0wx_png_jpg.rf.4a2de88188f1ad2a3d4b04855bc2f1c7.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1162, "output_tokens": 403, "elapsed_seconds": 7.411034167045727, "metadata": {"question": "How many bright green cars are parked in the visible parking spaces? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.5141}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 45, "image": "097f7d52-0fd1-4385-9ec4-65a9ee83d81b_input-input-1776852419339-bqf3nz0wx_png_jpg.rf.4a2de88188f1ad2a3d4b04855bc2f1c7.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1171, "output_tokens": 1309, "elapsed_seconds": 14.199153458001092, "metadata": {"question": "How many empty parking spaces are located between the cyan car and the bright green car in their shared parking row? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 14.3013}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 46, "image": "5bab6379-3de6-4deb-9698-97dad64b505c_input-input-1769090638596-o1nehu2dd_png_jpg.rf.4104781e673773b15de3cf099cb4d3f2.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1194, "output_tokens": 598, "elapsed_seconds": 10.404969834024087, "metadata": {"question": "If each wheelchair accessibility symbol marks one accessible parking space, how many accessible spaces are indicated by the symbols next to the building? Output the final count as a single integer (e.g., 4).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.4719}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 47, "image": "f4155be5-83b2-4214-89e0-b21906a781bd_png_jpg.rf.3cc4abb5bae56fbe2c8c798fcfbe7077.jpg", "expected": "11", "predicted": "11", "correct": true, "input_tokens": 1161, "output_tokens": 558, "elapsed_seconds": 7.151207583025098, "metadata": {"question": "How many times does the quantity \"1\" appear in the leftmost column of the itemized list? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.2136}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 48, "image": "dce06136-2d24-422b-a3b6-e100c9a4bad1_input-input-1780992231793-0zf74ymfd_png_jpg.rf.c2823e6e198b2039f5cd13aa75bebfbc.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1167, "output_tokens": 237, "elapsed_seconds": 15.75652166607324, "metadata": {"question": "How many cartoon characters are depicted in the orange section on the right side of the package? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 15.8056}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 49, "image": "19f45907-d682-40cf-bb87-9133dc873871_input-input-1778506438615-gyarfruw4_png_jpg.rf.f1250911547dbb93c6724fe40a099c66.jpg", "expected": "9", "predicted": "9", "correct": true, "input_tokens": 1192, "output_tokens": 419, "elapsed_seconds": 6.694988208007999, "metadata": {"question": "How many digits make up the serial number (S/N) printed at the top center of the meter? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.7179}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 50, "image": "e060bfb7-df44-43fd-83e7-fd09ac632863_png_jpg.rf.62cf5b61db7a2b02ec021799866318b3.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1145, "output_tokens": 736, "elapsed_seconds": 8.490695417043753, "metadata": {"question": "How many vertical books with predominantly orange spines are visible on the shelf? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.5627}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 51, "image": "05d94928-3491-4ab4-92be-1784b5cbcb18_png_jpg.rf.c75a6c9ea5b6c16f44c39b7dc8f66216.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1188, "output_tokens": 621, "elapsed_seconds": 7.079596708994359, "metadata": {"question": "How many leaf nodes (nodes with no children) are there in the binary tree shown at the top? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.0955}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 52, "image": "1478f318-0372-4bbb-bf28-6cab8c447a59_input-input-1771868885484-ua18hynnb_png_jpg.rf.48494081054afe07b3a29e3cf54058fe.jpg", "expected": "8", "predicted": "8", "correct": true, "input_tokens": 1137, "output_tokens": 288, "elapsed_seconds": 6.343544875038788, "metadata": {"question": "How many Butterfinger candy bars are visible in column E4? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.4172}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 53, "image": "1478f318-0372-4bbb-bf28-6cab8c447a59_input-input-1771868885484-ua18hynnb_png_jpg.rf.48494081054afe07b3a29e3cf54058fe.jpg", "expected": "0", "predicted": "0", "correct": true, "input_tokens": 1146, "output_tokens": 534, "elapsed_seconds": 8.555785625008866, "metadata": {"question": "How many completely empty coil columns are visible between the yellow Butterfinger wrappers and the orange Reese's wrappers? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.6304}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 54, "image": "1478f318-0372-4bbb-bf28-6cab8c447a59_input-input-1771868885484-ua18hynnb_png_jpg.rf.48494081054afe07b3a29e3cf54058fe.jpg", "expected": "22", "predicted": "24", "correct": false, "input_tokens": 1145, "output_tokens": 1054, "elapsed_seconds": 11.777137959026732, "metadata": {"question": "How many M&M's packages are visible in the machine? Output the final count as a single integer (e.g., 3).", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 11.8495}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 55, "image": "01c39aed-93d2-4359-917a-1d3f4dbc60a1_png_jpg.rf.c61a3470f20d4496fda1707eaa58d82d.jpg", "expected": "4", "predicted": "6", "correct": false, "input_tokens": 1149, "output_tokens": 2265, "elapsed_seconds": 27.837807333096862, "metadata": {"question": "How many blue bolts labeled with the number 23 are shown in the exploded diagram? Output the final count as a single integer (e.g., 3).", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 27.8625}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 56, "image": "396282bc-0d15-4e53-8803-7e5b69c1bef0_input-input-1773381099913-tgin8sfew_png_jpg.rf.adc85e75f7f5793f05427ecdddc06a07.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1185, "output_tokens": 250, "elapsed_seconds": 4.4876820830395445, "metadata": {"question": "How many rectangular metal trays holding dessert cups are visible on the right side of the table? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.5332}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 57, "image": "396282bc-0d15-4e53-8803-7e5b69c1bef0_input-input-1773381099913-tgin8sfew_png_jpg.rf.adc85e75f7f5793f05427ecdddc06a07.jpg", "expected": "12", "predicted": "12", "correct": true, "input_tokens": 1188, "output_tokens": 309, "elapsed_seconds": 6.615470458986238, "metadata": {"question": "How many dessert cups are in the metal tray immediately to the right of the blue-striped paper sheets? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.6664}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 58, "image": "1b7f1694-d9e1-496c-aed6-ea6baec4088a_png_jpg.rf.ccb9d030f1b587dd97bba12f6b7ec184.jpg", "expected": "8", "predicted": "8", "correct": true, "input_tokens": 1171, "output_tokens": 147, "elapsed_seconds": 8.312611041008495, "metadata": {"question": "How many large airplanes are parked on the main concrete apron in the upper half of the image? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.3777}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 59, "image": "be797fcf-056b-44b2-a1da-b667c3185959_input-input-1773768805936-h107qsgy2_png_jpg.rf.866a72ab13a76381b59fc1a3280496d2.jpg", "expected": "10", "predicted": "5", "correct": false, "input_tokens": 1159, "output_tokens": 1236, "elapsed_seconds": 16.394137457944453, "metadata": {"question": "How many devices can fit inside a single front-to-back column of the large tilted black tray in the foreground? Output the final count as a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 2, "retries": 1, "total_seconds": 79.8299, "transient_errors": ["RemoteProtocolError"]}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 60, "image": "be797fcf-056b-44b2-a1da-b667c3185959_input-input-1773768805936-h107qsgy2_png_jpg.rf.866a72ab13a76381b59fc1a3280496d2.jpg", "expected": "22", "predicted": "19", "correct": false, "input_tokens": 1152, "output_tokens": 2134, "elapsed_seconds": 25.304140666965395, "metadata": {"question": "How many empty slots in total are in the large tilted black tray in the foreground? Output the final count as a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 25.3585}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 61, "image": "122ef3fe-1e8b-4790-b9e1-721a9c9d4b86_input-input-1771297576554-0xpo2dsmn_png_jpg.rf.1efcee784f71e642e8048f85c6a89ecd.jpg", "expected": "8", "predicted": "8", "correct": true, "input_tokens": 1141, "output_tokens": 1079, "elapsed_seconds": 16.78135825006757, "metadata": {"question": "How many orange packets are grouped together at the top of the stack inside the box? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 16.9085}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 62, "image": "36e6af65-9cf0-4b16-b5b2-2dbf5d54ffae_input-input-1778190001786-w0937ikxt_png_jpg.rf.b036a53ece9920b07b8682ac35c9bbd2.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1178, "output_tokens": 1326, "elapsed_seconds": 19.604689875035547, "metadata": {"question": "How many blue cables are plugged into the ports on the left side of the white panel? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 19.6348}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 63, "image": "36e6af65-9cf0-4b16-b5b2-2dbf5d54ffae_input-input-1778190001786-w0937ikxt_png_jpg.rf.b036a53ece9920b07b8682ac35c9bbd2.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1174, "output_tokens": 284, "elapsed_seconds": 4.675419458071701, "metadata": {"question": "How many yellow cables are plugged into the ports on the white panel? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.7042}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 64, "image": "f0c68933-64c5-49e6-8845-707afdc32a4e_input-input-1776058768062-tn8vkqrxk_png_jpg.rf.c66fb27d88e528755f22742fcdf00c02.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1165, "output_tokens": 430, "elapsed_seconds": 7.683594916015863, "metadata": {"question": "How many people are visible in the image? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.7637}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 65, "image": "3afd1b0e-33ad-4f1a-9ddf-b204107eb230_input-input-1776059274665-zosrz5qle_png_jpg.rf.70231d8dad35e71bcd49d5cb93b2dfc9.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1162, "output_tokens": 415, "elapsed_seconds": 7.161976500065066, "metadata": {"question": "How many people are currently seated at the desks in the office? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.1967}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 66, "image": "43a0837b-dfa3-4160-8487-71e9daeb5b99_input-input-1775138372300-avlcj3a0a_png_jpg.rf.1902113cf3fe1dd691ba2bbab90fd88b.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1171, "output_tokens": 391, "elapsed_seconds": 5.6518120830878615, "metadata": {"question": "How many large dark symbols are visible in the vertical line of markings on the light gray panel? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.6587}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 67, "image": "26aea39a-beea-43d5-bbd5-c716b698ebaf_png_jpg.rf.b43c70658245fd13f38d8b30e5bdc44d.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1165, "output_tokens": 362, "elapsed_seconds": 5.279940958018415, "metadata": {"question": "How many shrink-wrapped packs of coke bottles with blue caps are visible on the pallet? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.3028}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 68, "image": "c23e413c-57e2-4e59-946e-b511526184a9_input-input-1769617613579-ed7ya5fh1_png_jpg.rf.da6ffdada344ce2ab64d1676e0515d25.jpg", "expected": "12", "predicted": "12", "correct": true, "input_tokens": 1179, "output_tokens": 1206, "elapsed_seconds": 14.53818508295808, "metadata": {"question": "How many flat metal brackets are visible inside the blue bin? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 14.6047}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 69, "image": "c23e413c-57e2-4e59-946e-b511526184a9_input-input-1769617613579-ed7ya5fh1_png_jpg.rf.da6ffdada344ce2ab64d1676e0515d25.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1183, "output_tokens": 680, "elapsed_seconds": 10.176709749968722, "metadata": {"question": "How many circular holes are clearly visible on the topmost, diagonally oriented metal bracket? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.243}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 70, "image": "0f07f712-f1ce-4b90-963e-7849862d827d_input-input-1779919148318-fedk52cp8_png_jpg.rf.616ee6530fd2873ab0d91b0ddd7140cc.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1175, "output_tokens": 207, "elapsed_seconds": 12.13907866703812, "metadata": {"question": "How many square bricks with exactly four studs are visible on the white surface? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 12.1728}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 71, "image": "bcd8aa70-e59a-4911-96e8-53c5b846dd6b_png_jpg.rf.fc6a6dff57ebb1f0a09fcd9fda6122f4.jpg", "expected": "10", "predicted": "10", "correct": true, "input_tokens": 1190, "output_tokens": 340, "elapsed_seconds": 15.157623999984935, "metadata": {"question": "How many distinct size codes are listed in the 'SIZE' column on the far left of the table? Output the final count as a single integer (e.g., 5).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 15.2282}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 72, "image": "3c78fcf8-2bce-4157-ac2c-e52f999a378c_input-input-1768902949600-rch94svhd_png_jpg.rf.6b75c0351af58e8707a0b1d75af18aa8.jpg", "expected": "three", "predicted": "three", "correct": true, "input_tokens": 1147, "output_tokens": 255, "elapsed_seconds": 7.919856333057396, "metadata": {"question": "How many red digits are present on the main rolling counter display? Answer strictly with a spelled-out word (e.g., \"one\", \"two\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.0402}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 73, "image": "621387a6-d868-4912-90f1-7e8abd9df0c0_png_jpg.rf.daf83e0999a9864ca1e0ed08dade1191.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1172, "output_tokens": 307, "elapsed_seconds": 5.781050625024363, "metadata": {"question": "How many small circular subdials are visible on the blue Tissot watch face? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.8867}} diff --git a/results/counting_gemini-4-argon-eap_high_20261012_230913.jsonl b/results/counting_gemini-4-argon-eap_high_20261012_230913.jsonl deleted file mode 100644 index 79d4caf..0000000 --- a/results/counting_gemini-4-argon-eap_high_20261012_230913.jsonl +++ /dev/null @@ -1,74 +0,0 @@ -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 0, "image": "f0d4c0bf-3a21-41a5-b0c2-c33b94feadb4_input-input-1771859752511-bk56l0pe1_png_jpg.rf.4af05c5fc1bdd4926894682e94c4b7b1.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1139, "output_tokens": 194, "elapsed_seconds": 5.211793791037053, "metadata": {"question": "How many vertical metal locking bars run down the back of the container doors? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.3137}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 1, "image": "63b26fc7-8349-4fbc-a0ad-e9d46bf28979_input-input-1769103313709-j5jk2uqdi_png_jpg.rf.a410e069cd682ad340d9504a57fce39d.jpg", "expected": "8", "predicted": "9", "correct": false, "input_tokens": 1145, "output_tokens": 1082, "elapsed_seconds": 12.667620416963473, "metadata": {"question": "How many of the orange blister pockets in the pack are open (already emptied, with no capsule remaining)? Output the final count as a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 12.724}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 2, "image": "6c44004a-c031-4396-a931-9a863a8802d2_png_jpg.rf.78a91a481b9044d0bc75154221a7ac45.jpg", "expected": "six", "predicted": "six", "correct": true, "input_tokens": 1147, "output_tokens": 240, "elapsed_seconds": 6.657882708008401, "metadata": {"question": "How many circular icons are visible in the horizontal menu bar directly above the \"Expenses (UK-Bank)\" title? Answer strictly with a spelled-out word.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.7221}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 3, "image": "4f2b6aab-f1c1-4f16-b3ca-bbe4d399a897_input-input-1773381300920-0uaf4zno9_png_jpg.rf.0a20aa6813607730b27a12060a642dbb.jpg", "expected": "15", "predicted": "15", "correct": true, "input_tokens": 1185, "output_tokens": 200, "elapsed_seconds": 3.778346540988423, "metadata": {"question": "How many small, square white bowls are arranged on the fully visible metal tray positioned in the top right area of the image? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.8265}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 4, "image": "26584325-f95e-41e4-9f4b-99afc5ff078d_png_jpg.rf.9a3624b41cfb86cab6301d79694fbf6d.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1153, "output_tokens": 588, "elapsed_seconds": 7.264285624958575, "metadata": {"question": "How many checkmarks are visible in the \"NEED\" column of the \"SERVICES:\" table on the left? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.3483}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 5, "image": "c56ead6c-0697-4216-a27e-fbd28c19aaed_input-input-1781393738001-e3qhlmchi_png_jpg.rf.9ab190943804e3d54fa1136c7886e772.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1186, "output_tokens": 192, "elapsed_seconds": 4.429819874931127, "metadata": {"question": "How many distinct horizontal tire sidewalls are stacked in the image? Output the final count as a single integer (e.g., 5).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.4759}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 6, "image": "003df5d3-f7ea-4567-8055-8733d3b39a27_input-input-1780991138503-fltoik3ij_png_jpg.rf.cf4d02bc406dbf7decf23b5678d8956d.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1169, "output_tokens": 686, "elapsed_seconds": 11.550514042028226, "metadata": {"question": "How many workers are visible in the warehouse? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.6059}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 7, "image": "4cf40711-7419-4961-8920-88715c8b601f_input-input-1777166096829-s1ov2lkxh_png_jpg.rf.990c23aecc8702b0cfa58e90a8441f46.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1180, "output_tokens": 412, "elapsed_seconds": 6.70940587494988, "metadata": {"question": "How many rectangular black plates with a 2x4 stud configuration are clearly visible in the image? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.7655}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 8, "image": "4cf40711-7419-4961-8920-88715c8b601f_input-input-1777166096829-s1ov2lkxh_png_jpg.rf.990c23aecc8702b0cfa58e90a8441f46.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1178, "output_tokens": 697, "elapsed_seconds": 10.303628541063517, "metadata": {"question": "How many individual round white tiles printed with a black eye pattern are visible in the assortment? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.3577}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 9, "image": "4cf40711-7419-4961-8920-88715c8b601f_input-input-1777166096829-s1ov2lkxh_png_jpg.rf.990c23aecc8702b0cfa58e90a8441f46.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1175, "output_tokens": 2155, "elapsed_seconds": 30.774455875041895, "metadata": {"question": "How many distinct, whole animal figures are visible among the scattered LEGO pieces? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 30.833}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 10, "image": "33299f4b-1857-4400-a31d-677ecd2c277a_input-input-1771415890481-7pfiombu0_png_jpg.rf.5df1a4fcae6b4c6acd16051c660f783f.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1151, "output_tokens": 444, "elapsed_seconds": 8.409199416055344, "metadata": {"question": "How many red directional arrows are painted on the large grey pipes in the foreground? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.4724}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 11, "image": "48fa18cc-eee4-4e13-9647-318c7155420c_png_jpg.rf.8a732d4c26a0198146370e4b98476551.jpg", "expected": "4", "predicted": "2", "correct": false, "input_tokens": 1143, "output_tokens": 3136, "elapsed_seconds": 33.31516895792447, "metadata": {"question": "How many rows in the main table have a blue background? Output the final count as a single integer (e.g., 3).", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 33.3891}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 12, "image": "c9b00dcb-e093-43d9-baf8-f1971ff328af_input-input-1769103177177-3x5hfzwbp_png_jpg.rf.5036bc0df858e9911be4fa08e6b80a40.jpg", "expected": "22", "predicted": "22", "correct": true, "input_tokens": 1145, "output_tokens": 962, "elapsed_seconds": 10.105045292060822, "metadata": {"question": "How many intact capsules remain in the blister pack across all rows? Output the final count as a single integer (e.g., 15).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.1578}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 13, "image": "056e17c9-9b46-496a-9cf8-c1b54bd73216_png_jpg.rf.1e94f330e43f2a21d12e145273ac3f94.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1163, "output_tokens": 522, "elapsed_seconds": 6.029906915966421, "metadata": {"question": "How many files or folders are listed directly inside the \"app\" directory in the file explorer on the right side? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.0693}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 14, "image": "db35c41c-a9ed-41bc-96cf-60186d715477_input-input-1774653477270-a4j6j7v6e_png_jpg.rf.81a4c1ac6254af08518ea58b5137ed9c.jpg", "expected": "8", "predicted": "9", "correct": false, "input_tokens": 1184, "output_tokens": 3235, "elapsed_seconds": 45.9410277500283, "metadata": {"question": "How many workers are standing or kneeling directly on the rebar grid inside the excavated pit? Output the final count as a single integer (e.g., 3).", "strict_correct": false, "judge_correct": false, "attempts": 2, "retries": 1, "total_seconds": 108.7958, "transient_errors": ["RemoteProtocolError"]}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 15, "image": "db35c41c-a9ed-41bc-96cf-60186d715477_input-input-1774653477270-a4j6j7v6e_png_jpg.rf.81a4c1ac6254af08518ea58b5137ed9c.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1185, "output_tokens": 258, "elapsed_seconds": 5.21560908399988, "metadata": {"question": "How many workers are standing together on the dirt level directly in front of the white crane? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.2642}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 16, "image": "db35c41c-a9ed-41bc-96cf-60186d715477_input-input-1774653477270-a4j6j7v6e_png_jpg.rf.81a4c1ac6254af08518ea58b5137ed9c.jpg", "expected": "0", "predicted": "0", "correct": true, "input_tokens": 1180, "output_tokens": 537, "elapsed_seconds": 7.479513624915853, "metadata": {"question": "How many workers are not wearing head protection (a hard hat)? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.5282}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 17, "image": "1b4e5426-d109-4398-8e45-ab1dc497980f_png_jpg.rf.77e9ea61b4fcfb4286af38f0a02211c8.jpg", "expected": "12", "predicted": "12", "correct": true, "input_tokens": 1182, "output_tokens": 446, "elapsed_seconds": 5.312752166995779, "metadata": {"question": "How many red circles are drawn around lowercase letters in the table? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.3494}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 18, "image": "21a6d806-d16e-4452-a2e3-7fa520bd671d_input-input-1769360430457-50a88jpis_png_jpg.rf.686e67d06dd1f487be5dc88fff5e7bc3.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1149, "output_tokens": 743, "elapsed_seconds": 13.96603775001131, "metadata": {"question": "How many individual screws are visibly resting inside the plastic bin labeled \"DIN 912 M8 x 30\"? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 14.0851}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 19, "image": "020c3db8-dcc2-40e0-bf26-c874edb1612b_png_jpg.rf.ac73a13cb831f0a2f94ea3824f41a47d.jpg", "expected": "11", "predicted": "11", "correct": true, "input_tokens": 1176, "output_tokens": 649, "elapsed_seconds": 7.762296458007768, "metadata": {"question": "How many items are listed under the 'DRY GOODS' section header in the table? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.8147}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 20, "image": "1ad1c779-b18f-4aaa-9cf0-6155cb19879b_input-input-1769444672197-ug2bdacps_png_jpg.rf.f23a8a19a08199a726f99d7a1549be63.jpg", "expected": "15", "predicted": "15", "correct": true, "input_tokens": 1167, "output_tokens": 544, "elapsed_seconds": 6.6051021249732, "metadata": {"question": "How many round pills are visible in the blister pack on the right side of the image? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.62}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 21, "image": "2e15743f-6bc8-4cce-8ec0-66eea3a6ca2f_input-input-1779607392296-qwxxnltdb_png_jpg.rf.608695980e866c196074445d3c3449ce.jpg", "expected": "0", "predicted": "0", "correct": true, "input_tokens": 1178, "output_tokens": 539, "elapsed_seconds": 7.389390083029866, "metadata": {"question": "How many water bottles with blue caps are visible on the bottom shelf? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.4254}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 22, "image": "214d5a30-f38a-4509-bd53-1e3ea49f9c8b_png_jpg.rf.b1c6d3fc8fd27d8b69dffde40d80310c.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1149, "output_tokens": 438, "elapsed_seconds": 5.797385334037244, "metadata": {"question": "How many blue pen marks/ticks are visible in the 'WITHDRAWALS' column? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.861}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 23, "image": "403906f1-d101-4a15-b0b3-43f90df6b13e_input-input-1780067976213-f8fki9qzj_png_jpg.rf.aa03e3dd2a567694bf8badd574e32ae3.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1174, "output_tokens": 267, "elapsed_seconds": 5.921817832975648, "metadata": {"question": "How many white tables are located between the facing seats in the carriage? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.0164}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 24, "image": "0f7a1b1b-b0f9-4dba-9659-0455701b7a3f_png_jpg.rf.ab769bd32b93fa65b7df75c6ec1ef3cd.jpg", "expected": "five", "predicted": "five", "correct": true, "input_tokens": 1152, "output_tokens": 634, "elapsed_seconds": 7.658283457974903, "metadata": {"question": "How many checkmarks are written in the column labeled \"4\" in the evaluation table? Answer strictly with a spelled-out word (e.g., \"one\", \"two\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.673}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 25, "image": "d489f405-013e-4e8b-968a-1d9db2060050_png_jpg.rf.be190d9e1ea972d827d8c52c3391f1fd.jpg", "expected": "9", "predicted": "9", "correct": true, "input_tokens": 1167, "output_tokens": 301, "elapsed_seconds": 4.657280749990605, "metadata": {"question": "How many handwritten checkmarks are visible in the left margin next to the line numbers (LNO)? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.6724}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 26, "image": "1b411f19-76c2-4028-b3ab-832256b9fb5e_input-input-1779844698418-8rz7uj6gh_png_jpg.rf.4d2907a675bb4eca3f3ae3a40822117f.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1144, "output_tokens": 496, "elapsed_seconds": 10.534394791000523, "metadata": {"question": "How many brown cardboard boxes prominently labeled \"Real-Kill\" are visible on the top storage shelf? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.649}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 27, "image": "1b411f19-76c2-4028-b3ab-832256b9fb5e_input-input-1779844698418-8rz7uj6gh_png_jpg.rf.4d2907a675bb4eca3f3ae3a40822117f.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1146, "output_tokens": 740, "elapsed_seconds": 11.89542891702149, "metadata": {"question": "How many green and white \"Bug B-gon\" jugs are visible on the fourth shelf from the top? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 12.0104}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 28, "image": "02eaa1d1-ffaf-46f3-b9ef-b7ab3551b738_input-input-1777971607736-x33g85l3u_png_jpg.rf.4056fc9b233d537c46ed68224f3f2e27.jpg", "expected": "15", "predicted": "15", "correct": true, "input_tokens": 1176, "output_tokens": 1552, "elapsed_seconds": 16.441301500075497, "metadata": {"question": "How many tiles are missing from the wall? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 16.4965}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 29, "image": "25e6ed9c-2d37-4533-8021-977770aa97d1_input-input-1780691294811-oql9y0w9f_png_jpg.rf.36701f4301765d1397e29a5f8d8f9471.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1172, "output_tokens": 319, "elapsed_seconds": 8.247426916961558, "metadata": {"question": "How many green gas cylinders are present in the truck bed? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.3134}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 30, "image": "76d985c4-8ba2-4660-871b-939bba136896_input-input-1774985116190-hco0gpvmt_png_jpg.rf.e2a22365c854e0212534e5a8675bb4c9.jpg", "expected": "7", "predicted": "7", "correct": true, "input_tokens": 1167, "output_tokens": 724, "elapsed_seconds": 9.086834124987945, "metadata": {"question": "How many bullet holes are located entirely or partially within the large black circular area of the target? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.1854}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 31, "image": "76d985c4-8ba2-4660-871b-939bba136896_input-input-1774985116190-hco0gpvmt_png_jpg.rf.e2a22365c854e0212534e5a8675bb4c9.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1170, "output_tokens": 706, "elapsed_seconds": 11.055495374952443, "metadata": {"question": "How many bullet holes are visibly piercing the off-white outer area in the lower right quadrant of the image? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.1501}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 32, "image": "0e3ca6d7-7301-474e-bad2-3bc3a9aa7140_input-input-1780425165960-zu9asq91k_png_jpg.rf.7dd6f9559d3f83a1e451dd68ab07f639.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1181, "output_tokens": 1068, "elapsed_seconds": 14.254824499948882, "metadata": {"question": "How many large, circular white feeding trays are attached to the thicker pipe running diagonally on the right side? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 14.3117}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 33, "image": "d0b99ce8-8a3b-4d1d-98d4-b34137b19f08_input-input-1768805031339-rs4dctz0p_png_jpg.rf.bbdc304ba5f61cb85ea823bce3f757b9.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1174, "output_tokens": 328, "elapsed_seconds": 9.079971249913797, "metadata": {"question": "How many women are depicted on the stamp labeled \"WOMEN IN OUR ARMED SERVICES\" in the bottom row? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.1827}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 34, "image": "d0b99ce8-8a3b-4d1d-98d4-b34137b19f08_input-input-1768805031339-rs4dctz0p_png_jpg.rf.bbdc304ba5f61cb85ea823bce3f757b9.jpg", "expected": "28", "predicted": "28", "correct": true, "input_tokens": 1170, "output_tokens": 1007, "elapsed_seconds": 13.722091792034917, "metadata": {"question": "How many stamps in the display show a 3\u00a2 (three-cent) denomination? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 13.824}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 35, "image": "d0b99ce8-8a3b-4d1d-98d4-b34137b19f08_input-input-1768805031339-rs4dctz0p_png_jpg.rf.bbdc304ba5f61cb85ea823bce3f757b9.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1165, "output_tokens": 1381, "elapsed_seconds": 18.091981500037946, "metadata": {"question": "How many predominantly purple or violet stamps are visible in the display? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 18.2003}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 36, "image": "3cc9dff1-0e00-4900-9013-00d7b1be6a09_input-input-1779942886819-2wwj3rkhy_png_jpg.rf.2b0fb18f9f03d4dead03ef88ead19450.jpg", "expected": "8", "predicted": "8", "correct": true, "input_tokens": 1183, "output_tokens": 497, "elapsed_seconds": 6.22022770892363, "metadata": {"question": "How many runners are visible on the track? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.2405}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 37, "image": "76bbc10c-bed4-41d3-8622-035eeabc5596_input-input-1769119181178-immkwkrpv_png_jpg.rf.9e45cd4a9160b72762d9d1091e937e81.jpg", "expected": "22", "predicted": "22", "correct": true, "input_tokens": 1137, "output_tokens": 2453, "elapsed_seconds": 22.35367854195647, "metadata": {"question": "How many lens-box slots in the display grid are empty? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 22.4759}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 38, "image": "1e37f04c-e13e-4595-8119-71801b83924e_png_jpg.rf.88d495e552edc70aa4a9fd4db0b6f2a4.jpg", "expected": "8", "predicted": "8", "correct": true, "input_tokens": 1153, "output_tokens": 1541, "elapsed_seconds": 22.565088666044176, "metadata": {"question": "How many grey boxes are provided for entering the \"Amount Enclosed\" in the payment stub at the bottom right? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 22.6864}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 39, "image": "f0db827b-688f-45e5-b6d0-991c49108a4e_input-input-1771013479121-jj5wfnran_png_jpg.rf.78c029e9c9141b5c35558d767cf94681.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1143, "output_tokens": 965, "elapsed_seconds": 14.172298582969233, "metadata": {"question": "How many abnormal or defective candies are visible in the image? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 14.2371}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 40, "image": "c1300d50-94fc-4081-b871-8338cef58e16_input-input-1778695950497-jbtexy630_png_jpg.rf.21ec9923369fc4380c0cc3c8aba1d9c1.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1179, "output_tokens": 605, "elapsed_seconds": 8.087427124963142, "metadata": {"question": "How many players wearing blue jerseys are visible on the ice? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.1262}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 41, "image": "0212eb3d-e4b1-4ef4-9204-e920654bf677_input-input-1778110710064-oqhw5zz8j_png_jpg.rf.2faf044c9ba90e69aaaae8eaceafe6d4.jpg", "expected": "seven", "predicted": "seven", "correct": true, "input_tokens": 1150, "output_tokens": 719, "elapsed_seconds": 9.461190459085628, "metadata": {"question": "How many green \"Price Cut\" promotional tags are visible across the entire display? Answer strictly with a spelled-out word (e.g., \"one\", \"two\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.5803}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 42, "image": "4409ba1c-5b55-47e4-8fb3-ed245021d0bb_input-input-1776892569933-6scj88bzo_png_jpg.rf.92cb44b13f714204abf3b13ac1190860.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1147, "output_tokens": 429, "elapsed_seconds": 7.326330958050676, "metadata": {"question": "How many item refund lines with negative pound amounts are listed under 'Online Return'? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.3972}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 43, "image": "20c6f561-491b-44ca-a96a-8f6d926b8307_png_jpg.rf.1bae1396728629da79305bdaaffa6fbb.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1142, "output_tokens": 439, "elapsed_seconds": 6.2764948749681935, "metadata": {"question": "How many bottles are crushed or dented? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.3129}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 44, "image": "097f7d52-0fd1-4385-9ec4-65a9ee83d81b_input-input-1776852419339-bqf3nz0wx_png_jpg.rf.4a2de88188f1ad2a3d4b04855bc2f1c7.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1162, "output_tokens": 227, "elapsed_seconds": 6.236944792093709, "metadata": {"question": "How many bright green cars are parked in the visible parking spaces? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.3434}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 45, "image": "097f7d52-0fd1-4385-9ec4-65a9ee83d81b_input-input-1776852419339-bqf3nz0wx_png_jpg.rf.4a2de88188f1ad2a3d4b04855bc2f1c7.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1171, "output_tokens": 551, "elapsed_seconds": 10.421946708927862, "metadata": {"question": "How many empty parking spaces are located between the cyan car and the bright green car in their shared parking row? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.5262}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 46, "image": "5bab6379-3de6-4deb-9698-97dad64b505c_input-input-1769090638596-o1nehu2dd_png_jpg.rf.4104781e673773b15de3cf099cb4d3f2.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1194, "output_tokens": 552, "elapsed_seconds": 8.237073958967812, "metadata": {"question": "If each wheelchair accessibility symbol marks one accessible parking space, how many accessible spaces are indicated by the symbols next to the building? Output the final count as a single integer (e.g., 4).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.3024}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 47, "image": "f4155be5-83b2-4214-89e0-b21906a781bd_png_jpg.rf.3cc4abb5bae56fbe2c8c798fcfbe7077.jpg", "expected": "11", "predicted": "11", "correct": true, "input_tokens": 1161, "output_tokens": 616, "elapsed_seconds": 7.502893208060414, "metadata": {"question": "How many times does the quantity \"1\" appear in the leftmost column of the itemized list? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.5679}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 48, "image": "dce06136-2d24-422b-a3b6-e100c9a4bad1_input-input-1780992231793-0zf74ymfd_png_jpg.rf.c2823e6e198b2039f5cd13aa75bebfbc.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1167, "output_tokens": 412, "elapsed_seconds": 7.421895917039365, "metadata": {"question": "How many cartoon characters are depicted in the orange section on the right side of the package? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.4691}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 49, "image": "19f45907-d682-40cf-bb87-9133dc873871_input-input-1778506438615-gyarfruw4_png_jpg.rf.f1250911547dbb93c6724fe40a099c66.jpg", "expected": "9", "predicted": "9", "correct": true, "input_tokens": 1192, "output_tokens": 601, "elapsed_seconds": 8.250867084017955, "metadata": {"question": "How many digits make up the serial number (S/N) printed at the top center of the meter? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.2763}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 50, "image": "e060bfb7-df44-43fd-83e7-fd09ac632863_png_jpg.rf.62cf5b61db7a2b02ec021799866318b3.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1145, "output_tokens": 971, "elapsed_seconds": 11.688512166962028, "metadata": {"question": "How many vertical books with predominantly orange spines are visible on the shelf? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.7645}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 51, "image": "05d94928-3491-4ab4-92be-1784b5cbcb18_png_jpg.rf.c75a6c9ea5b6c16f44c39b7dc8f66216.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1188, "output_tokens": 500, "elapsed_seconds": 5.908991124946624, "metadata": {"question": "How many leaf nodes (nodes with no children) are there in the binary tree shown at the top? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.9263}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 52, "image": "1478f318-0372-4bbb-bf28-6cab8c447a59_input-input-1771868885484-ua18hynnb_png_jpg.rf.48494081054afe07b3a29e3cf54058fe.jpg", "expected": "8", "predicted": "8", "correct": true, "input_tokens": 1137, "output_tokens": 764, "elapsed_seconds": 11.622397667029873, "metadata": {"question": "How many Butterfinger candy bars are visible in column E4? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.6919}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 53, "image": "1478f318-0372-4bbb-bf28-6cab8c447a59_input-input-1771868885484-ua18hynnb_png_jpg.rf.48494081054afe07b3a29e3cf54058fe.jpg", "expected": "0", "predicted": "0", "correct": true, "input_tokens": 1146, "output_tokens": 514, "elapsed_seconds": 8.008027374977246, "metadata": {"question": "How many completely empty coil columns are visible between the yellow Butterfinger wrappers and the orange Reese's wrappers? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.0768}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 54, "image": "1478f318-0372-4bbb-bf28-6cab8c447a59_input-input-1771868885484-ua18hynnb_png_jpg.rf.48494081054afe07b3a29e3cf54058fe.jpg", "expected": "22", "predicted": "22", "correct": true, "input_tokens": 1145, "output_tokens": 717, "elapsed_seconds": 8.824046041001566, "metadata": {"question": "How many M&M's packages are visible in the machine? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.8955}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 55, "image": "01c39aed-93d2-4359-917a-1d3f4dbc60a1_png_jpg.rf.c61a3470f20d4496fda1707eaa58d82d.jpg", "expected": "4", "predicted": "5", "correct": false, "input_tokens": 1149, "output_tokens": 3470, "elapsed_seconds": 42.596011292072944, "metadata": {"question": "How many blue bolts labeled with the number 23 are shown in the exploded diagram? Output the final count as a single integer (e.g., 3).", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 42.6203}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 56, "image": "396282bc-0d15-4e53-8803-7e5b69c1bef0_input-input-1773381099913-tgin8sfew_png_jpg.rf.adc85e75f7f5793f05427ecdddc06a07.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1185, "output_tokens": 249, "elapsed_seconds": 4.951551749953069, "metadata": {"question": "How many rectangular metal trays holding dessert cups are visible on the right side of the table? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.997}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 57, "image": "396282bc-0d15-4e53-8803-7e5b69c1bef0_input-input-1773381099913-tgin8sfew_png_jpg.rf.adc85e75f7f5793f05427ecdddc06a07.jpg", "expected": "12", "predicted": "12", "correct": true, "input_tokens": 1188, "output_tokens": 539, "elapsed_seconds": 7.9517880419734865, "metadata": {"question": "How many dessert cups are in the metal tray immediately to the right of the blue-striped paper sheets? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.9991}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 58, "image": "1b7f1694-d9e1-496c-aed6-ea6baec4088a_png_jpg.rf.ccb9d030f1b587dd97bba12f6b7ec184.jpg", "expected": "8", "predicted": "8", "correct": true, "input_tokens": 1171, "output_tokens": 233, "elapsed_seconds": 4.742823874927126, "metadata": {"question": "How many large airplanes are parked on the main concrete apron in the upper half of the image? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.8067}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 59, "image": "be797fcf-056b-44b2-a1da-b667c3185959_input-input-1773768805936-h107qsgy2_png_jpg.rf.866a72ab13a76381b59fc1a3280496d2.jpg", "expected": "10", "predicted": "5", "correct": false, "input_tokens": 1159, "output_tokens": 2841, "elapsed_seconds": 29.64804620796349, "metadata": {"question": "How many devices can fit inside a single front-to-back column of the large tilted black tray in the foreground? Output the final count as a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 29.7017}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 60, "image": "be797fcf-056b-44b2-a1da-b667c3185959_input-input-1773768805936-h107qsgy2_png_jpg.rf.866a72ab13a76381b59fc1a3280496d2.jpg", "expected": "22", "predicted": "24", "correct": false, "input_tokens": 1152, "output_tokens": 3021, "elapsed_seconds": 34.44368041702546, "metadata": {"question": "How many empty slots in total are in the large tilted black tray in the foreground? Output the final count as a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 3, "retries": 2, "total_seconds": 166.322, "transient_errors": ["RemoteProtocolError", "RemoteProtocolError"]}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 61, "image": "122ef3fe-1e8b-4790-b9e1-721a9c9d4b86_input-input-1771297576554-0xpo2dsmn_png_jpg.rf.1efcee784f71e642e8048f85c6a89ecd.jpg", "expected": "8", "predicted": "8", "correct": true, "input_tokens": 1141, "output_tokens": 883, "elapsed_seconds": 11.45408416702412, "metadata": {"question": "How many orange packets are grouped together at the top of the stack inside the box? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.5826}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 62, "image": "36e6af65-9cf0-4b16-b5b2-2dbf5d54ffae_input-input-1778190001786-w0937ikxt_png_jpg.rf.b036a53ece9920b07b8682ac35c9bbd2.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1178, "output_tokens": 2199, "elapsed_seconds": 31.95615470793564, "metadata": {"question": "How many blue cables are plugged into the ports on the left side of the white panel? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 31.9886}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 63, "image": "36e6af65-9cf0-4b16-b5b2-2dbf5d54ffae_input-input-1778190001786-w0937ikxt_png_jpg.rf.b036a53ece9920b07b8682ac35c9bbd2.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1174, "output_tokens": 423, "elapsed_seconds": 6.95529733307194, "metadata": {"question": "How many yellow cables are plugged into the ports on the white panel? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.9844}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 64, "image": "f0c68933-64c5-49e6-8845-707afdc32a4e_input-input-1776058768062-tn8vkqrxk_png_jpg.rf.c66fb27d88e528755f22742fcdf00c02.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1165, "output_tokens": 464, "elapsed_seconds": 9.136013209004886, "metadata": {"question": "How many people are visible in the image? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.2179}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 65, "image": "3afd1b0e-33ad-4f1a-9ddf-b204107eb230_input-input-1776059274665-zosrz5qle_png_jpg.rf.70231d8dad35e71bcd49d5cb93b2dfc9.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1162, "output_tokens": 388, "elapsed_seconds": 7.924869250040501, "metadata": {"question": "How many people are currently seated at the desks in the office? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.9587}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 66, "image": "43a0837b-dfa3-4160-8487-71e9daeb5b99_input-input-1775138372300-avlcj3a0a_png_jpg.rf.1902113cf3fe1dd691ba2bbab90fd88b.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1171, "output_tokens": 226, "elapsed_seconds": 4.622727832989767, "metadata": {"question": "How many large dark symbols are visible in the vertical line of markings on the light gray panel? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.631}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 67, "image": "26aea39a-beea-43d5-bbd5-c716b698ebaf_png_jpg.rf.b43c70658245fd13f38d8b30e5bdc44d.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1165, "output_tokens": 380, "elapsed_seconds": 5.37782083300408, "metadata": {"question": "How many shrink-wrapped packs of coke bottles with blue caps are visible on the pallet? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.4005}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 68, "image": "c23e413c-57e2-4e59-946e-b511526184a9_input-input-1769617613579-ed7ya5fh1_png_jpg.rf.da6ffdada344ce2ab64d1676e0515d25.jpg", "expected": "12", "predicted": "12", "correct": true, "input_tokens": 1179, "output_tokens": 2864, "elapsed_seconds": 31.779284209012985, "metadata": {"question": "How many flat metal brackets are visible inside the blue bin? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 31.8425}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 69, "image": "c23e413c-57e2-4e59-946e-b511526184a9_input-input-1769617613579-ed7ya5fh1_png_jpg.rf.da6ffdada344ce2ab64d1676e0515d25.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1183, "output_tokens": 588, "elapsed_seconds": 11.178453875007108, "metadata": {"question": "How many circular holes are clearly visible on the topmost, diagonally oriented metal bracket? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.2915}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 70, "image": "0f07f712-f1ce-4b90-963e-7849862d827d_input-input-1779919148318-fedk52cp8_png_jpg.rf.616ee6530fd2873ab0d91b0ddd7140cc.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1175, "output_tokens": 312, "elapsed_seconds": 5.179335583001375, "metadata": {"question": "How many square bricks with exactly four studs are visible on the white surface? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.2112}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 71, "image": "bcd8aa70-e59a-4911-96e8-53c5b846dd6b_png_jpg.rf.fc6a6dff57ebb1f0a09fcd9fda6122f4.jpg", "expected": "10", "predicted": "10", "correct": true, "input_tokens": 1190, "output_tokens": 371, "elapsed_seconds": 6.975635958020575, "metadata": {"question": "How many distinct size codes are listed in the 'SIZE' column on the far left of the table? Output the final count as a single integer (e.g., 5).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.0416}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 72, "image": "3c78fcf8-2bce-4157-ac2c-e52f999a378c_input-input-1768902949600-rch94svhd_png_jpg.rf.6b75c0351af58e8707a0b1d75af18aa8.jpg", "expected": "three", "predicted": "three", "correct": true, "input_tokens": 1147, "output_tokens": 257, "elapsed_seconds": 5.2647157500032336, "metadata": {"question": "How many red digits are present on the main rolling counter display? Answer strictly with a spelled-out word (e.g., \"one\", \"two\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.3804}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 73, "image": "621387a6-d868-4912-90f1-7e8abd9df0c0_png_jpg.rf.daf83e0999a9864ca1e0ed08dade1191.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1172, "output_tokens": 254, "elapsed_seconds": 4.9522852500667796, "metadata": {"question": "How many small circular subdials are visible on the blue Tissot watch face? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.0507}} diff --git a/results/counting_gemini-4-argon-eap_high_20261013_064713.jsonl b/results/counting_gemini-4-argon-eap_high_20261013_064713.jsonl deleted file mode 100644 index 049fad0..0000000 --- a/results/counting_gemini-4-argon-eap_high_20261013_064713.jsonl +++ /dev/null @@ -1,74 +0,0 @@ -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 0, "image": "f0d4c0bf-3a21-41a5-b0c2-c33b94feadb4_input-input-1771859752511-bk56l0pe1_png_jpg.rf.4af05c5fc1bdd4926894682e94c4b7b1.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1139, "output_tokens": 192, "elapsed_seconds": 4.96366887493059, "metadata": {"question": "How many vertical metal locking bars run down the back of the container doors? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.0658}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 1, "image": "63b26fc7-8349-4fbc-a0ad-e9d46bf28979_input-input-1769103313709-j5jk2uqdi_png_jpg.rf.a410e069cd682ad340d9504a57fce39d.jpg", "expected": "8", "predicted": "9", "correct": false, "input_tokens": 1145, "output_tokens": 1223, "elapsed_seconds": 11.621743332943879, "metadata": {"question": "How many of the orange blister pockets in the pack are open (already emptied, with no capsule remaining)? Output the final count as a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 11.678}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 2, "image": "6c44004a-c031-4396-a931-9a863a8802d2_png_jpg.rf.78a91a481b9044d0bc75154221a7ac45.jpg", "expected": "six", "predicted": "six", "correct": true, "input_tokens": 1147, "output_tokens": 249, "elapsed_seconds": 4.5198274159338325, "metadata": {"question": "How many circular icons are visible in the horizontal menu bar directly above the \"Expenses (UK-Bank)\" title? Answer strictly with a spelled-out word.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.5823}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 3, "image": "4f2b6aab-f1c1-4f16-b3ca-bbe4d399a897_input-input-1773381300920-0uaf4zno9_png_jpg.rf.0a20aa6813607730b27a12060a642dbb.jpg", "expected": "15", "predicted": "15", "correct": true, "input_tokens": 1185, "output_tokens": 182, "elapsed_seconds": 4.73646225000266, "metadata": {"question": "How many small, square white bowls are arranged on the fully visible metal tray positioned in the top right area of the image? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.7853}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 4, "image": "26584325-f95e-41e4-9f4b-99afc5ff078d_png_jpg.rf.9a3624b41cfb86cab6301d79694fbf6d.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1153, "output_tokens": 691, "elapsed_seconds": 8.71843579201959, "metadata": {"question": "How many checkmarks are visible in the \"NEED\" column of the \"SERVICES:\" table on the left? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.7998}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 5, "image": "c56ead6c-0697-4216-a27e-fbd28c19aaed_input-input-1781393738001-e3qhlmchi_png_jpg.rf.9ab190943804e3d54fa1136c7886e772.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1186, "output_tokens": 170, "elapsed_seconds": 3.5016724170418456, "metadata": {"question": "How many distinct horizontal tire sidewalls are stacked in the image? Output the final count as a single integer (e.g., 5).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.5491}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 6, "image": "003df5d3-f7ea-4567-8055-8733d3b39a27_input-input-1780991138503-fltoik3ij_png_jpg.rf.cf4d02bc406dbf7decf23b5678d8956d.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1169, "output_tokens": 534, "elapsed_seconds": 8.299037708085962, "metadata": {"question": "How many workers are visible in the warehouse? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.351}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 7, "image": "4cf40711-7419-4961-8920-88715c8b601f_input-input-1777166096829-s1ov2lkxh_png_jpg.rf.990c23aecc8702b0cfa58e90a8441f46.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1180, "output_tokens": 445, "elapsed_seconds": 7.524591666995548, "metadata": {"question": "How many rectangular black plates with a 2x4 stud configuration are clearly visible in the image? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.5841}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 8, "image": "4cf40711-7419-4961-8920-88715c8b601f_input-input-1777166096829-s1ov2lkxh_png_jpg.rf.990c23aecc8702b0cfa58e90a8441f46.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1178, "output_tokens": 470, "elapsed_seconds": 8.492302833939902, "metadata": {"question": "How many individual round white tiles printed with a black eye pattern are visible in the assortment? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.549}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 9, "image": "4cf40711-7419-4961-8920-88715c8b601f_input-input-1777166096829-s1ov2lkxh_png_jpg.rf.990c23aecc8702b0cfa58e90a8441f46.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1175, "output_tokens": 1322, "elapsed_seconds": 21.225474333041348, "metadata": {"question": "How many distinct, whole animal figures are visible among the scattered LEGO pieces? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 21.282}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 10, "image": "33299f4b-1857-4400-a31d-677ecd2c277a_input-input-1771415890481-7pfiombu0_png_jpg.rf.5df1a4fcae6b4c6acd16051c660f783f.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1151, "output_tokens": 433, "elapsed_seconds": 8.861217124969698, "metadata": {"question": "How many red directional arrows are painted on the large grey pipes in the foreground? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.9238}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 11, "image": "48fa18cc-eee4-4e13-9647-318c7155420c_png_jpg.rf.8a732d4c26a0198146370e4b98476551.jpg", "expected": "4", "predicted": "2", "correct": false, "input_tokens": 1143, "output_tokens": 3085, "elapsed_seconds": 37.58556849998422, "metadata": {"question": "How many rows in the main table have a blue background? Output the final count as a single integer (e.g., 3).", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 37.6616}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 12, "image": "c9b00dcb-e093-43d9-baf8-f1971ff328af_input-input-1769103177177-3x5hfzwbp_png_jpg.rf.5036bc0df858e9911be4fa08e6b80a40.jpg", "expected": "22", "predicted": "22", "correct": true, "input_tokens": 1145, "output_tokens": 730, "elapsed_seconds": 6.900234999950044, "metadata": {"question": "How many intact capsules remain in the blister pack across all rows? Output the final count as a single integer (e.g., 15).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.9523}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 13, "image": "056e17c9-9b46-496a-9cf8-c1b54bd73216_png_jpg.rf.1e94f330e43f2a21d12e145273ac3f94.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1163, "output_tokens": 434, "elapsed_seconds": 6.691126915975474, "metadata": {"question": "How many files or folders are listed directly inside the \"app\" directory in the file explorer on the right side? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.7295}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 14, "image": "db35c41c-a9ed-41bc-96cf-60186d715477_input-input-1774653477270-a4j6j7v6e_png_jpg.rf.81a4c1ac6254af08518ea58b5137ed9c.jpg", "expected": "8", "predicted": "8", "correct": true, "input_tokens": 1184, "output_tokens": 3940, "elapsed_seconds": 44.54551550000906, "metadata": {"question": "How many workers are standing or kneeling directly on the rebar grid inside the excavated pit? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 44.5984}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 15, "image": "db35c41c-a9ed-41bc-96cf-60186d715477_input-input-1774653477270-a4j6j7v6e_png_jpg.rf.81a4c1ac6254af08518ea58b5137ed9c.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1185, "output_tokens": 273, "elapsed_seconds": 13.62452058296185, "metadata": {"question": "How many workers are standing together on the dirt level directly in front of the white crane? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 13.6747}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 16, "image": "db35c41c-a9ed-41bc-96cf-60186d715477_input-input-1774653477270-a4j6j7v6e_png_jpg.rf.81a4c1ac6254af08518ea58b5137ed9c.jpg", "expected": "0", "predicted": "0", "correct": true, "input_tokens": 1180, "output_tokens": 915, "elapsed_seconds": 13.455796458059922, "metadata": {"question": "How many workers are not wearing head protection (a hard hat)? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 13.5069}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 17, "image": "1b4e5426-d109-4398-8e45-ab1dc497980f_png_jpg.rf.77e9ea61b4fcfb4286af38f0a02211c8.jpg", "expected": "12", "predicted": "12", "correct": true, "input_tokens": 1182, "output_tokens": 406, "elapsed_seconds": 5.322316791978665, "metadata": {"question": "How many red circles are drawn around lowercase letters in the table? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.3609}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 18, "image": "21a6d806-d16e-4452-a2e3-7fa520bd671d_input-input-1769360430457-50a88jpis_png_jpg.rf.686e67d06dd1f487be5dc88fff5e7bc3.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1149, "output_tokens": 740, "elapsed_seconds": 11.61708900006488, "metadata": {"question": "How many individual screws are visibly resting inside the plastic bin labeled \"DIN 912 M8 x 30\"? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.7362}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 19, "image": "020c3db8-dcc2-40e0-bf26-c874edb1612b_png_jpg.rf.ac73a13cb831f0a2f94ea3824f41a47d.jpg", "expected": "11", "predicted": "11", "correct": true, "input_tokens": 1176, "output_tokens": 612, "elapsed_seconds": 7.1543038750533015, "metadata": {"question": "How many items are listed under the 'DRY GOODS' section header in the table? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.2083}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 20, "image": "1ad1c779-b18f-4aaa-9cf0-6155cb19879b_input-input-1769444672197-ug2bdacps_png_jpg.rf.f23a8a19a08199a726f99d7a1549be63.jpg", "expected": "15", "predicted": "15", "correct": true, "input_tokens": 1167, "output_tokens": 634, "elapsed_seconds": 7.429710874916054, "metadata": {"question": "How many round pills are visible in the blister pack on the right side of the image? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.4484}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 21, "image": "2e15743f-6bc8-4cce-8ec0-66eea3a6ca2f_input-input-1779607392296-qwxxnltdb_png_jpg.rf.608695980e866c196074445d3c3449ce.jpg", "expected": "0", "predicted": "0", "correct": true, "input_tokens": 1178, "output_tokens": 411, "elapsed_seconds": 6.114082667045295, "metadata": {"question": "How many water bottles with blue caps are visible on the bottom shelf? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.152}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 22, "image": "214d5a30-f38a-4509-bd53-1e3ea49f9c8b_png_jpg.rf.b1c6d3fc8fd27d8b69dffde40d80310c.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1149, "output_tokens": 545, "elapsed_seconds": 7.0690780830336735, "metadata": {"question": "How many blue pen marks/ticks are visible in the 'WITHDRAWALS' column? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.1329}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 23, "image": "403906f1-d101-4a15-b0b3-43f90df6b13e_input-input-1780067976213-f8fki9qzj_png_jpg.rf.aa03e3dd2a567694bf8badd574e32ae3.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1174, "output_tokens": 219, "elapsed_seconds": 4.80729687504936, "metadata": {"question": "How many white tables are located between the facing seats in the carriage? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.9049}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 24, "image": "0f7a1b1b-b0f9-4dba-9659-0455701b7a3f_png_jpg.rf.ab769bd32b93fa65b7df75c6ec1ef3cd.jpg", "expected": "five", "predicted": "five", "correct": true, "input_tokens": 1152, "output_tokens": 634, "elapsed_seconds": 7.265194999985397, "metadata": {"question": "How many checkmarks are written in the column labeled \"4\" in the evaluation table? Answer strictly with a spelled-out word (e.g., \"one\", \"two\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.2814}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 25, "image": "d489f405-013e-4e8b-968a-1d9db2060050_png_jpg.rf.be190d9e1ea972d827d8c52c3391f1fd.jpg", "expected": "9", "predicted": "9", "correct": true, "input_tokens": 1167, "output_tokens": 218, "elapsed_seconds": 4.248699165997095, "metadata": {"question": "How many handwritten checkmarks are visible in the left margin next to the line numbers (LNO)? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.2651}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 26, "image": "1b411f19-76c2-4028-b3ab-832256b9fb5e_input-input-1779844698418-8rz7uj6gh_png_jpg.rf.4d2907a675bb4eca3f3ae3a40822117f.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1144, "output_tokens": 360, "elapsed_seconds": 10.383897583000362, "metadata": {"question": "How many brown cardboard boxes prominently labeled \"Real-Kill\" are visible on the top storage shelf? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.5007}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 27, "image": "1b411f19-76c2-4028-b3ab-832256b9fb5e_input-input-1779844698418-8rz7uj6gh_png_jpg.rf.4d2907a675bb4eca3f3ae3a40822117f.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1146, "output_tokens": 530, "elapsed_seconds": 8.267675208975561, "metadata": {"question": "How many green and white \"Bug B-gon\" jugs are visible on the fourth shelf from the top? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.3818}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 28, "image": "02eaa1d1-ffaf-46f3-b9ef-b7ab3551b738_input-input-1777971607736-x33g85l3u_png_jpg.rf.4056fc9b233d537c46ed68224f3f2e27.jpg", "expected": "15", "predicted": "11", "correct": false, "input_tokens": 1176, "output_tokens": 1340, "elapsed_seconds": 16.867630625027232, "metadata": {"question": "How many tiles are missing from the wall? Output the final count as a single integer (e.g., 3).", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 16.927}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 29, "image": "25e6ed9c-2d37-4533-8021-977770aa97d1_input-input-1780691294811-oql9y0w9f_png_jpg.rf.36701f4301765d1397e29a5f8d8f9471.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1172, "output_tokens": 318, "elapsed_seconds": 5.870308541925624, "metadata": {"question": "How many green gas cylinders are present in the truck bed? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.9204}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 30, "image": "76d985c4-8ba2-4660-871b-939bba136896_input-input-1774985116190-hco0gpvmt_png_jpg.rf.e2a22365c854e0212534e5a8675bb4c9.jpg", "expected": "7", "predicted": "7", "correct": true, "input_tokens": 1167, "output_tokens": 803, "elapsed_seconds": 10.915279124979861, "metadata": {"question": "How many bullet holes are located entirely or partially within the large black circular area of the target? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.0089}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 31, "image": "76d985c4-8ba2-4660-871b-939bba136896_input-input-1774985116190-hco0gpvmt_png_jpg.rf.e2a22365c854e0212534e5a8675bb4c9.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1170, "output_tokens": 648, "elapsed_seconds": 8.935697000008076, "metadata": {"question": "How many bullet holes are visibly piercing the off-white outer area in the lower right quadrant of the image? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.03}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 32, "image": "0e3ca6d7-7301-474e-bad2-3bc3a9aa7140_input-input-1780425165960-zu9asq91k_png_jpg.rf.7dd6f9559d3f83a1e451dd68ab07f639.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1181, "output_tokens": 588, "elapsed_seconds": 9.793198500061408, "metadata": {"question": "How many large, circular white feeding trays are attached to the thicker pipe running diagonally on the right side? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.8461}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 33, "image": "d0b99ce8-8a3b-4d1d-98d4-b34137b19f08_input-input-1768805031339-rs4dctz0p_png_jpg.rf.bbdc304ba5f61cb85ea823bce3f757b9.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1174, "output_tokens": 342, "elapsed_seconds": 5.873690375010483, "metadata": {"question": "How many women are depicted on the stamp labeled \"WOMEN IN OUR ARMED SERVICES\" in the bottom row? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.9703}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 34, "image": "d0b99ce8-8a3b-4d1d-98d4-b34137b19f08_input-input-1768805031339-rs4dctz0p_png_jpg.rf.bbdc304ba5f61cb85ea823bce3f757b9.jpg", "expected": "28", "predicted": "28", "correct": true, "input_tokens": 1170, "output_tokens": 1235, "elapsed_seconds": 12.119514166028239, "metadata": {"question": "How many stamps in the display show a 3\u00a2 (three-cent) denomination? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 12.2154}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 35, "image": "d0b99ce8-8a3b-4d1d-98d4-b34137b19f08_input-input-1768805031339-rs4dctz0p_png_jpg.rf.bbdc304ba5f61cb85ea823bce3f757b9.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1165, "output_tokens": 1237, "elapsed_seconds": 16.521357916062698, "metadata": {"question": "How many predominantly purple or violet stamps are visible in the display? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 16.683}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 36, "image": "3cc9dff1-0e00-4900-9013-00d7b1be6a09_input-input-1779942886819-2wwj3rkhy_png_jpg.rf.2b0fb18f9f03d4dead03ef88ead19450.jpg", "expected": "8", "predicted": "8", "correct": true, "input_tokens": 1183, "output_tokens": 411, "elapsed_seconds": 5.813669541967101, "metadata": {"question": "How many runners are visible on the track? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.8308}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 37, "image": "76bbc10c-bed4-41d3-8622-035eeabc5596_input-input-1769119181178-immkwkrpv_png_jpg.rf.9e45cd4a9160b72762d9d1091e937e81.jpg", "expected": "22", "predicted": "22", "correct": true, "input_tokens": 1137, "output_tokens": 4202, "elapsed_seconds": 31.17356595804449, "metadata": {"question": "How many lens-box slots in the display grid are empty? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 31.2847}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 38, "image": "1e37f04c-e13e-4595-8119-71801b83924e_png_jpg.rf.88d495e552edc70aa4a9fd4db0b6f2a4.jpg", "expected": "8", "predicted": "7", "correct": false, "input_tokens": 1153, "output_tokens": 644, "elapsed_seconds": 9.59562170796562, "metadata": {"question": "How many grey boxes are provided for entering the \"Amount Enclosed\" in the payment stub at the bottom right? Output the final count as a single integer (e.g., 3).", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 9.7178}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 39, "image": "f0db827b-688f-45e5-b6d0-991c49108a4e_input-input-1771013479121-jj5wfnran_png_jpg.rf.78c029e9c9141b5c35558d767cf94681.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1143, "output_tokens": 694, "elapsed_seconds": 10.984827749896795, "metadata": {"question": "How many abnormal or defective candies are visible in the image? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.0521}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 40, "image": "c1300d50-94fc-4081-b871-8338cef58e16_input-input-1778695950497-jbtexy630_png_jpg.rf.21ec9923369fc4380c0cc3c8aba1d9c1.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1179, "output_tokens": 360, "elapsed_seconds": 6.290531541919336, "metadata": {"question": "How many players wearing blue jerseys are visible on the ice? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.3305}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 41, "image": "0212eb3d-e4b1-4ef4-9204-e920654bf677_input-input-1778110710064-oqhw5zz8j_png_jpg.rf.2faf044c9ba90e69aaaae8eaceafe6d4.jpg", "expected": "seven", "predicted": "seven", "correct": true, "input_tokens": 1150, "output_tokens": 708, "elapsed_seconds": 9.142605207976885, "metadata": {"question": "How many green \"Price Cut\" promotional tags are visible across the entire display? Answer strictly with a spelled-out word (e.g., \"one\", \"two\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.2637}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 42, "image": "4409ba1c-5b55-47e4-8fb3-ed245021d0bb_input-input-1776892569933-6scj88bzo_png_jpg.rf.92cb44b13f714204abf3b13ac1190860.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1147, "output_tokens": 407, "elapsed_seconds": 6.1772620000410825, "metadata": {"question": "How many item refund lines with negative pound amounts are listed under 'Online Return'? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.2484}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 43, "image": "20c6f561-491b-44ca-a96a-8f6d926b8307_png_jpg.rf.1bae1396728629da79305bdaaffa6fbb.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1142, "output_tokens": 447, "elapsed_seconds": 15.242503458051942, "metadata": {"question": "How many bottles are crushed or dented? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 15.2802}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 44, "image": "097f7d52-0fd1-4385-9ec4-65a9ee83d81b_input-input-1776852419339-bqf3nz0wx_png_jpg.rf.4a2de88188f1ad2a3d4b04855bc2f1c7.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1162, "output_tokens": 313, "elapsed_seconds": 16.762552666012198, "metadata": {"question": "How many bright green cars are parked in the visible parking spaces? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 16.8654}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 45, "image": "097f7d52-0fd1-4385-9ec4-65a9ee83d81b_input-input-1776852419339-bqf3nz0wx_png_jpg.rf.4a2de88188f1ad2a3d4b04855bc2f1c7.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1171, "output_tokens": 562, "elapsed_seconds": 9.847219874965958, "metadata": {"question": "How many empty parking spaces are located between the cyan car and the bright green car in their shared parking row? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.9502}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 46, "image": "5bab6379-3de6-4deb-9698-97dad64b505c_input-input-1769090638596-o1nehu2dd_png_jpg.rf.4104781e673773b15de3cf099cb4d3f2.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1194, "output_tokens": 543, "elapsed_seconds": 9.554879250004888, "metadata": {"question": "If each wheelchair accessibility symbol marks one accessible parking space, how many accessible spaces are indicated by the symbols next to the building? Output the final count as a single integer (e.g., 4).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.6216}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 47, "image": "f4155be5-83b2-4214-89e0-b21906a781bd_png_jpg.rf.3cc4abb5bae56fbe2c8c798fcfbe7077.jpg", "expected": "11", "predicted": "11", "correct": true, "input_tokens": 1161, "output_tokens": 594, "elapsed_seconds": 9.632656374946237, "metadata": {"question": "How many times does the quantity \"1\" appear in the leftmost column of the itemized list? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.6949}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 48, "image": "dce06136-2d24-422b-a3b6-e100c9a4bad1_input-input-1780992231793-0zf74ymfd_png_jpg.rf.c2823e6e198b2039f5cd13aa75bebfbc.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1167, "output_tokens": 388, "elapsed_seconds": 6.4147741249762475, "metadata": {"question": "How many cartoon characters are depicted in the orange section on the right side of the package? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.4635}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 49, "image": "19f45907-d682-40cf-bb87-9133dc873871_input-input-1778506438615-gyarfruw4_png_jpg.rf.f1250911547dbb93c6724fe40a099c66.jpg", "expected": "9", "predicted": "9", "correct": true, "input_tokens": 1192, "output_tokens": 843, "elapsed_seconds": 11.014615959022194, "metadata": {"question": "How many digits make up the serial number (S/N) printed at the top center of the meter? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.0364}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 50, "image": "e060bfb7-df44-43fd-83e7-fd09ac632863_png_jpg.rf.62cf5b61db7a2b02ec021799866318b3.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1145, "output_tokens": 990, "elapsed_seconds": 17.85349266708363, "metadata": {"question": "How many vertical books with predominantly orange spines are visible on the shelf? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 17.9246}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 51, "image": "05d94928-3491-4ab4-92be-1784b5cbcb18_png_jpg.rf.c75a6c9ea5b6c16f44c39b7dc8f66216.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1188, "output_tokens": 489, "elapsed_seconds": 6.610365999978967, "metadata": {"question": "How many leaf nodes (nodes with no children) are there in the binary tree shown at the top? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.6273}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 52, "image": "1478f318-0372-4bbb-bf28-6cab8c447a59_input-input-1771868885484-ua18hynnb_png_jpg.rf.48494081054afe07b3a29e3cf54058fe.jpg", "expected": "8", "predicted": "8", "correct": true, "input_tokens": 1137, "output_tokens": 445, "elapsed_seconds": 7.089162167045288, "metadata": {"question": "How many Butterfinger candy bars are visible in column E4? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.1621}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 53, "image": "1478f318-0372-4bbb-bf28-6cab8c447a59_input-input-1771868885484-ua18hynnb_png_jpg.rf.48494081054afe07b3a29e3cf54058fe.jpg", "expected": "0", "predicted": "0", "correct": true, "input_tokens": 1146, "output_tokens": 541, "elapsed_seconds": 9.063737457967363, "metadata": {"question": "How many completely empty coil columns are visible between the yellow Butterfinger wrappers and the orange Reese's wrappers? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.1342}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 54, "image": "1478f318-0372-4bbb-bf28-6cab8c447a59_input-input-1771868885484-ua18hynnb_png_jpg.rf.48494081054afe07b3a29e3cf54058fe.jpg", "expected": "22", "predicted": "21", "correct": false, "input_tokens": 1145, "output_tokens": 1334, "elapsed_seconds": 12.32078729197383, "metadata": {"question": "How many M&M's packages are visible in the machine? Output the final count as a single integer (e.g., 3).", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 12.3909}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 55, "image": "01c39aed-93d2-4359-917a-1d3f4dbc60a1_png_jpg.rf.c61a3470f20d4496fda1707eaa58d82d.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1149, "output_tokens": 2584, "elapsed_seconds": 30.201452709035948, "metadata": {"question": "How many blue bolts labeled with the number 23 are shown in the exploded diagram? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 30.2273}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 56, "image": "396282bc-0d15-4e53-8803-7e5b69c1bef0_input-input-1773381099913-tgin8sfew_png_jpg.rf.adc85e75f7f5793f05427ecdddc06a07.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1185, "output_tokens": 307, "elapsed_seconds": 5.420998708927073, "metadata": {"question": "How many rectangular metal trays holding dessert cups are visible on the right side of the table? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.4725}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 57, "image": "396282bc-0d15-4e53-8803-7e5b69c1bef0_input-input-1773381099913-tgin8sfew_png_jpg.rf.adc85e75f7f5793f05427ecdddc06a07.jpg", "expected": "12", "predicted": "12", "correct": true, "input_tokens": 1188, "output_tokens": 343, "elapsed_seconds": 5.327998916036449, "metadata": {"question": "How many dessert cups are in the metal tray immediately to the right of the blue-striped paper sheets? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.3763}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 58, "image": "1b7f1694-d9e1-496c-aed6-ea6baec4088a_png_jpg.rf.ccb9d030f1b587dd97bba12f6b7ec184.jpg", "expected": "8", "predicted": "8", "correct": true, "input_tokens": 1171, "output_tokens": 178, "elapsed_seconds": 4.36185700003989, "metadata": {"question": "How many large airplanes are parked on the main concrete apron in the upper half of the image? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.4281}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 59, "image": "be797fcf-056b-44b2-a1da-b667c3185959_input-input-1773768805936-h107qsgy2_png_jpg.rf.866a72ab13a76381b59fc1a3280496d2.jpg", "expected": "10", "predicted": "5", "correct": false, "input_tokens": 1159, "output_tokens": 1312, "elapsed_seconds": 17.175299875088967, "metadata": {"question": "How many devices can fit inside a single front-to-back column of the large tilted black tray in the foreground? Output the final count as a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 17.2352}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 60, "image": "be797fcf-056b-44b2-a1da-b667c3185959_input-input-1773768805936-h107qsgy2_png_jpg.rf.866a72ab13a76381b59fc1a3280496d2.jpg", "expected": "22", "predicted": "23", "correct": false, "input_tokens": 1152, "output_tokens": 5742, "elapsed_seconds": 56.68149912497029, "metadata": {"question": "How many empty slots in total are in the large tilted black tray in the foreground? Output the final count as a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 56.7211}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 61, "image": "122ef3fe-1e8b-4790-b9e1-721a9c9d4b86_input-input-1771297576554-0xpo2dsmn_png_jpg.rf.1efcee784f71e642e8048f85c6a89ecd.jpg", "expected": "8", "predicted": "8", "correct": true, "input_tokens": 1141, "output_tokens": 686, "elapsed_seconds": 10.214678833028302, "metadata": {"question": "How many orange packets are grouped together at the top of the stack inside the box? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.3371}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 62, "image": "36e6af65-9cf0-4b16-b5b2-2dbf5d54ffae_input-input-1778190001786-w0937ikxt_png_jpg.rf.b036a53ece9920b07b8682ac35c9bbd2.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1178, "output_tokens": 1164, "elapsed_seconds": 15.32998179201968, "metadata": {"question": "How many blue cables are plugged into the ports on the left side of the white panel? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 15.3625}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 63, "image": "36e6af65-9cf0-4b16-b5b2-2dbf5d54ffae_input-input-1778190001786-w0937ikxt_png_jpg.rf.b036a53ece9920b07b8682ac35c9bbd2.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1174, "output_tokens": 364, "elapsed_seconds": 6.070600540959276, "metadata": {"question": "How many yellow cables are plugged into the ports on the white panel? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.0996}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 64, "image": "f0c68933-64c5-49e6-8845-707afdc32a4e_input-input-1776058768062-tn8vkqrxk_png_jpg.rf.c66fb27d88e528755f22742fcdf00c02.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1165, "output_tokens": 300, "elapsed_seconds": 6.351983041968197, "metadata": {"question": "How many people are visible in the image? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.4416}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 65, "image": "3afd1b0e-33ad-4f1a-9ddf-b204107eb230_input-input-1776059274665-zosrz5qle_png_jpg.rf.70231d8dad35e71bcd49d5cb93b2dfc9.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1162, "output_tokens": 238, "elapsed_seconds": 5.450604583951645, "metadata": {"question": "How many people are currently seated at the desks in the office? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.4839}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 66, "image": "43a0837b-dfa3-4160-8487-71e9daeb5b99_input-input-1775138372300-avlcj3a0a_png_jpg.rf.1902113cf3fe1dd691ba2bbab90fd88b.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1171, "output_tokens": 323, "elapsed_seconds": 5.326043833978474, "metadata": {"question": "How many large dark symbols are visible in the vertical line of markings on the light gray panel? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.3321}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 67, "image": "26aea39a-beea-43d5-bbd5-c716b698ebaf_png_jpg.rf.b43c70658245fd13f38d8b30e5bdc44d.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1165, "output_tokens": 463, "elapsed_seconds": 6.982690291944891, "metadata": {"question": "How many shrink-wrapped packs of coke bottles with blue caps are visible on the pallet? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.0032}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 68, "image": "c23e413c-57e2-4e59-946e-b511526184a9_input-input-1769617613579-ed7ya5fh1_png_jpg.rf.da6ffdada344ce2ab64d1676e0515d25.jpg", "expected": "12", "predicted": "12", "correct": true, "input_tokens": 1179, "output_tokens": 1219, "elapsed_seconds": 19.178285665926524, "metadata": {"question": "How many flat metal brackets are visible inside the blue bin? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 19.241}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 69, "image": "c23e413c-57e2-4e59-946e-b511526184a9_input-input-1769617613579-ed7ya5fh1_png_jpg.rf.da6ffdada344ce2ab64d1676e0515d25.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1183, "output_tokens": 344, "elapsed_seconds": 6.234931915998459, "metadata": {"question": "How many circular holes are clearly visible on the topmost, diagonally oriented metal bracket? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.2999}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 70, "image": "0f07f712-f1ce-4b90-963e-7849862d827d_input-input-1779919148318-fedk52cp8_png_jpg.rf.616ee6530fd2873ab0d91b0ddd7140cc.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1175, "output_tokens": 315, "elapsed_seconds": 4.531625707983039, "metadata": {"question": "How many square bricks with exactly four studs are visible on the white surface? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.5644}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 71, "image": "bcd8aa70-e59a-4911-96e8-53c5b846dd6b_png_jpg.rf.fc6a6dff57ebb1f0a09fcd9fda6122f4.jpg", "expected": "10", "predicted": "10", "correct": true, "input_tokens": 1190, "output_tokens": 304, "elapsed_seconds": 5.371866083005443, "metadata": {"question": "How many distinct size codes are listed in the 'SIZE' column on the far left of the table? Output the final count as a single integer (e.g., 5).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.437}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 72, "image": "3c78fcf8-2bce-4157-ac2c-e52f999a378c_input-input-1768902949600-rch94svhd_png_jpg.rf.6b75c0351af58e8707a0b1d75af18aa8.jpg", "expected": "three", "predicted": "three", "correct": true, "input_tokens": 1147, "output_tokens": 239, "elapsed_seconds": 5.6924465839983895, "metadata": {"question": "How many red digits are present on the main rolling counter display? Answer strictly with a spelled-out word (e.g., \"one\", \"two\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.8135}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 73, "image": "621387a6-d868-4912-90f1-7e8abd9df0c0_png_jpg.rf.daf83e0999a9864ca1e0ed08dade1191.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1172, "output_tokens": 301, "elapsed_seconds": 6.164350125007331, "metadata": {"question": "How many small circular subdials are visible on the blue Tissot watch face? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.2652}} diff --git a/results/counting_gemini-4-argon-eap_low_20261012_223834.jsonl b/results/counting_gemini-4-argon-eap_low_20261012_223834.jsonl deleted file mode 100644 index 1e8b27a..0000000 --- a/results/counting_gemini-4-argon-eap_low_20261012_223834.jsonl +++ /dev/null @@ -1,74 +0,0 @@ -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 0, "image": "f0d4c0bf-3a21-41a5-b0c2-c33b94feadb4_input-input-1771859752511-bk56l0pe1_png_jpg.rf.4af05c5fc1bdd4926894682e94c4b7b1.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1139, "output_tokens": 5, "elapsed_seconds": 6.454030334018171, "metadata": {"question": "How many vertical metal locking bars run down the back of the container doors? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.5589}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 1, "image": "63b26fc7-8349-4fbc-a0ad-e9d46bf28979_input-input-1769103313709-j5jk2uqdi_png_jpg.rf.a410e069cd682ad340d9504a57fce39d.jpg", "expected": "8", "predicted": "9", "correct": false, "input_tokens": 1145, "output_tokens": 5, "elapsed_seconds": 4.862667249981314, "metadata": {"question": "How many of the orange blister pockets in the pack are open (already emptied, with no capsule remaining)? Output the final count as a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 4.9195}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 2, "image": "6c44004a-c031-4396-a931-9a863a8802d2_png_jpg.rf.78a91a481b9044d0bc75154221a7ac45.jpg", "expected": "six", "predicted": "six", "correct": true, "input_tokens": 1147, "output_tokens": 5, "elapsed_seconds": 3.0445563750108704, "metadata": {"question": "How many circular icons are visible in the horizontal menu bar directly above the \"Expenses (UK-Bank)\" title? Answer strictly with a spelled-out word.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1078}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 3, "image": "4f2b6aab-f1c1-4f16-b3ca-bbe4d399a897_input-input-1773381300920-0uaf4zno9_png_jpg.rf.0a20aa6813607730b27a12060a642dbb.jpg", "expected": "15", "predicted": "15", "correct": true, "input_tokens": 1185, "output_tokens": 6, "elapsed_seconds": 3.9922970830230042, "metadata": {"question": "How many small, square white bowls are arranged on the fully visible metal tray positioned in the top right area of the image? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.0417}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 4, "image": "26584325-f95e-41e4-9f4b-99afc5ff078d_png_jpg.rf.9a3624b41cfb86cab6301d79694fbf6d.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1153, "output_tokens": 5, "elapsed_seconds": 3.1563516249880195, "metadata": {"question": "How many checkmarks are visible in the \"NEED\" column of the \"SERVICES:\" table on the left? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.238}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 5, "image": "c56ead6c-0697-4216-a27e-fbd28c19aaed_input-input-1781393738001-e3qhlmchi_png_jpg.rf.9ab190943804e3d54fa1136c7886e772.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1186, "output_tokens": 5, "elapsed_seconds": 2.657357665942982, "metadata": {"question": "How many distinct horizontal tire sidewalls are stacked in the image? Output the final count as a single integer (e.g., 5).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7035}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 6, "image": "003df5d3-f7ea-4567-8055-8733d3b39a27_input-input-1780991138503-fltoik3ij_png_jpg.rf.cf4d02bc406dbf7decf23b5678d8956d.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1169, "output_tokens": 5, "elapsed_seconds": 3.235189958009869, "metadata": {"question": "How many workers are visible in the warehouse? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.2897}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 7, "image": "4cf40711-7419-4961-8920-88715c8b601f_input-input-1777166096829-s1ov2lkxh_png_jpg.rf.990c23aecc8702b0cfa58e90a8441f46.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1180, "output_tokens": 5, "elapsed_seconds": 2.703499958035536, "metadata": {"question": "How many rectangular black plates with a 2x4 stud configuration are clearly visible in the image? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7597}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 8, "image": "4cf40711-7419-4961-8920-88715c8b601f_input-input-1777166096829-s1ov2lkxh_png_jpg.rf.990c23aecc8702b0cfa58e90a8441f46.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1178, "output_tokens": 5, "elapsed_seconds": 2.346733208047226, "metadata": {"question": "How many individual round white tiles printed with a black eye pattern are visible in the assortment? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.4011}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 9, "image": "4cf40711-7419-4961-8920-88715c8b601f_input-input-1777166096829-s1ov2lkxh_png_jpg.rf.990c23aecc8702b0cfa58e90a8441f46.jpg", "expected": "2", "predicted": "3", "correct": false, "input_tokens": 1175, "output_tokens": 5, "elapsed_seconds": 3.618106000008993, "metadata": {"question": "How many distinct, whole animal figures are visible among the scattered LEGO pieces? Output the final count as a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 3.6719}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 10, "image": "33299f4b-1857-4400-a31d-677ecd2c277a_input-input-1771415890481-7pfiombu0_png_jpg.rf.5df1a4fcae6b4c6acd16051c660f783f.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1151, "output_tokens": 5, "elapsed_seconds": 2.9903933750465512, "metadata": {"question": "How many red directional arrows are painted on the large grey pipes in the foreground? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.0511}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 11, "image": "48fa18cc-eee4-4e13-9647-318c7155420c_png_jpg.rf.8a732d4c26a0198146370e4b98476551.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1143, "output_tokens": 5, "elapsed_seconds": 3.39500841696281, "metadata": {"question": "How many rows in the main table have a blue background? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.4699}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 12, "image": "c9b00dcb-e093-43d9-baf8-f1971ff328af_input-input-1769103177177-3x5hfzwbp_png_jpg.rf.5036bc0df858e9911be4fa08e6b80a40.jpg", "expected": "22", "predicted": "22", "correct": true, "input_tokens": 1145, "output_tokens": 6, "elapsed_seconds": 2.8051950000226498, "metadata": {"question": "How many intact capsules remain in the blister pack across all rows? Output the final count as a single integer (e.g., 15).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8572}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 13, "image": "056e17c9-9b46-496a-9cf8-c1b54bd73216_png_jpg.rf.1e94f330e43f2a21d12e145273ac3f94.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1163, "output_tokens": 5, "elapsed_seconds": 3.388610083027743, "metadata": {"question": "How many files or folders are listed directly inside the \"app\" directory in the file explorer on the right side? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.4273}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 14, "image": "db35c41c-a9ed-41bc-96cf-60186d715477_input-input-1774653477270-a4j6j7v6e_png_jpg.rf.81a4c1ac6254af08518ea58b5137ed9c.jpg", "expected": "8", "predicted": "8", "correct": true, "input_tokens": 1184, "output_tokens": 5, "elapsed_seconds": 4.8873863340122625, "metadata": {"question": "How many workers are standing or kneeling directly on the rebar grid inside the excavated pit? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.9354}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 15, "image": "db35c41c-a9ed-41bc-96cf-60186d715477_input-input-1774653477270-a4j6j7v6e_png_jpg.rf.81a4c1ac6254af08518ea58b5137ed9c.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1185, "output_tokens": 5, "elapsed_seconds": 3.2100960420211777, "metadata": {"question": "How many workers are standing together on the dirt level directly in front of the white crane? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.2586}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 16, "image": "db35c41c-a9ed-41bc-96cf-60186d715477_input-input-1774653477270-a4j6j7v6e_png_jpg.rf.81a4c1ac6254af08518ea58b5137ed9c.jpg", "expected": "0", "predicted": "0", "correct": true, "input_tokens": 1180, "output_tokens": 5, "elapsed_seconds": 3.1144319999730214, "metadata": {"question": "How many workers are not wearing head protection (a hard hat)? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1657}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 17, "image": "1b4e5426-d109-4398-8e45-ab1dc497980f_png_jpg.rf.77e9ea61b4fcfb4286af38f0a02211c8.jpg", "expected": "12", "predicted": "12", "correct": true, "input_tokens": 1182, "output_tokens": 6, "elapsed_seconds": 3.3868670830270275, "metadata": {"question": "How many red circles are drawn around lowercase letters in the table? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.4245}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 18, "image": "21a6d806-d16e-4452-a2e3-7fa520bd671d_input-input-1769360430457-50a88jpis_png_jpg.rf.686e67d06dd1f487be5dc88fff5e7bc3.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1149, "output_tokens": 5, "elapsed_seconds": 3.7268393330741674, "metadata": {"question": "How many individual screws are visibly resting inside the plastic bin labeled \"DIN 912 M8 x 30\"? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.8464}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 19, "image": "020c3db8-dcc2-40e0-bf26-c874edb1612b_png_jpg.rf.ac73a13cb831f0a2f94ea3824f41a47d.jpg", "expected": "11", "predicted": "11", "correct": true, "input_tokens": 1176, "output_tokens": 6, "elapsed_seconds": 2.716427083942108, "metadata": {"question": "How many items are listed under the 'DRY GOODS' section header in the table? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7719}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 20, "image": "1ad1c779-b18f-4aaa-9cf0-6155cb19879b_input-input-1769444672197-ug2bdacps_png_jpg.rf.f23a8a19a08199a726f99d7a1549be63.jpg", "expected": "15", "predicted": "15", "correct": true, "input_tokens": 1167, "output_tokens": 6, "elapsed_seconds": 2.943080583936535, "metadata": {"question": "How many round pills are visible in the blister pack on the right side of the image? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9579}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 21, "image": "2e15743f-6bc8-4cce-8ec0-66eea3a6ca2f_input-input-1779607392296-qwxxnltdb_png_jpg.rf.608695980e866c196074445d3c3449ce.jpg", "expected": "0", "predicted": "0", "correct": true, "input_tokens": 1178, "output_tokens": 5, "elapsed_seconds": 2.7129074160475284, "metadata": {"question": "How many water bottles with blue caps are visible on the bottom shelf? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7509}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 22, "image": "214d5a30-f38a-4509-bd53-1e3ea49f9c8b_png_jpg.rf.b1c6d3fc8fd27d8b69dffde40d80310c.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1149, "output_tokens": 5, "elapsed_seconds": 2.827155083999969, "metadata": {"question": "How many blue pen marks/ticks are visible in the 'WITHDRAWALS' column? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8913}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 23, "image": "403906f1-d101-4a15-b0b3-43f90df6b13e_input-input-1780067976213-f8fki9qzj_png_jpg.rf.aa03e3dd2a567694bf8badd574e32ae3.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1174, "output_tokens": 5, "elapsed_seconds": 3.4485151669941843, "metadata": {"question": "How many white tables are located between the facing seats in the carriage? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.5415}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 24, "image": "0f7a1b1b-b0f9-4dba-9659-0455701b7a3f_png_jpg.rf.ab769bd32b93fa65b7df75c6ec1ef3cd.jpg", "expected": "five", "predicted": "five", "correct": true, "input_tokens": 1152, "output_tokens": 5, "elapsed_seconds": 2.4582365829264745, "metadata": {"question": "How many checkmarks are written in the column labeled \"4\" in the evaluation table? Answer strictly with a spelled-out word (e.g., \"one\", \"two\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.4726}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 25, "image": "d489f405-013e-4e8b-968a-1d9db2060050_png_jpg.rf.be190d9e1ea972d827d8c52c3391f1fd.jpg", "expected": "9", "predicted": "9", "correct": true, "input_tokens": 1167, "output_tokens": 5, "elapsed_seconds": 2.2489887500414625, "metadata": {"question": "How many handwritten checkmarks are visible in the left margin next to the line numbers (LNO)? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.2637}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 26, "image": "1b411f19-76c2-4028-b3ab-832256b9fb5e_input-input-1779844698418-8rz7uj6gh_png_jpg.rf.4d2907a675bb4eca3f3ae3a40822117f.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1144, "output_tokens": 5, "elapsed_seconds": 3.8949602079810575, "metadata": {"question": "How many brown cardboard boxes prominently labeled \"Real-Kill\" are visible on the top storage shelf? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.0111}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 27, "image": "1b411f19-76c2-4028-b3ab-832256b9fb5e_input-input-1779844698418-8rz7uj6gh_png_jpg.rf.4d2907a675bb4eca3f3ae3a40822117f.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1146, "output_tokens": 5, "elapsed_seconds": 4.060128999990411, "metadata": {"question": "How many green and white \"Bug B-gon\" jugs are visible on the fourth shelf from the top? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.1767}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 28, "image": "02eaa1d1-ffaf-46f3-b9ef-b7ab3551b738_input-input-1777971607736-x33g85l3u_png_jpg.rf.4056fc9b233d537c46ed68224f3f2e27.jpg", "expected": "15", "predicted": "8", "correct": false, "input_tokens": 1176, "output_tokens": 5, "elapsed_seconds": 2.983113416004926, "metadata": {"question": "How many tiles are missing from the wall? Output the final count as a single integer (e.g., 3).", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 3.0423}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 29, "image": "25e6ed9c-2d37-4533-8021-977770aa97d1_input-input-1780691294811-oql9y0w9f_png_jpg.rf.36701f4301765d1397e29a5f8d8f9471.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1172, "output_tokens": 5, "elapsed_seconds": 2.795617333962582, "metadata": {"question": "How many green gas cylinders are present in the truck bed? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.849}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 30, "image": "76d985c4-8ba2-4660-871b-939bba136896_input-input-1774985116190-hco0gpvmt_png_jpg.rf.e2a22365c854e0212534e5a8675bb4c9.jpg", "expected": "7", "predicted": "7", "correct": true, "input_tokens": 1167, "output_tokens": 5, "elapsed_seconds": 4.175239457981661, "metadata": {"question": "How many bullet holes are located entirely or partially within the large black circular area of the target? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.2725}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 31, "image": "76d985c4-8ba2-4660-871b-939bba136896_input-input-1774985116190-hco0gpvmt_png_jpg.rf.e2a22365c854e0212534e5a8675bb4c9.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1170, "output_tokens": 5, "elapsed_seconds": 3.190074500045739, "metadata": {"question": "How many bullet holes are visibly piercing the off-white outer area in the lower right quadrant of the image? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.2863}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 32, "image": "0e3ca6d7-7301-474e-bad2-3bc3a9aa7140_input-input-1780425165960-zu9asq91k_png_jpg.rf.7dd6f9559d3f83a1e451dd68ab07f639.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1181, "output_tokens": 5, "elapsed_seconds": 3.540142541984096, "metadata": {"question": "How many large, circular white feeding trays are attached to the thicker pipe running diagonally on the right side? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.5941}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 33, "image": "d0b99ce8-8a3b-4d1d-98d4-b34137b19f08_input-input-1768805031339-rs4dctz0p_png_jpg.rf.bbdc304ba5f61cb85ea823bce3f757b9.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1174, "output_tokens": 5, "elapsed_seconds": 5.018726582988165, "metadata": {"question": "How many women are depicted on the stamp labeled \"WOMEN IN OUR ARMED SERVICES\" in the bottom row? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.1168}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 34, "image": "d0b99ce8-8a3b-4d1d-98d4-b34137b19f08_input-input-1768805031339-rs4dctz0p_png_jpg.rf.bbdc304ba5f61cb85ea823bce3f757b9.jpg", "expected": "28", "predicted": "28", "correct": true, "input_tokens": 1170, "output_tokens": 6, "elapsed_seconds": 6.412741792039014, "metadata": {"question": "How many stamps in the display show a 3\u00a2 (three-cent) denomination? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.5089}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 35, "image": "d0b99ce8-8a3b-4d1d-98d4-b34137b19f08_input-input-1768805031339-rs4dctz0p_png_jpg.rf.bbdc304ba5f61cb85ea823bce3f757b9.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1165, "output_tokens": 5, "elapsed_seconds": 6.02129079203587, "metadata": {"question": "How many predominantly purple or violet stamps are visible in the display? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.1177}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 36, "image": "3cc9dff1-0e00-4900-9013-00d7b1be6a09_input-input-1779942886819-2wwj3rkhy_png_jpg.rf.2b0fb18f9f03d4dead03ef88ead19450.jpg", "expected": "8", "predicted": "8", "correct": true, "input_tokens": 1183, "output_tokens": 5, "elapsed_seconds": 3.6156336669810116, "metadata": {"question": "How many runners are visible on the track? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.6358}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 37, "image": "76bbc10c-bed4-41d3-8622-035eeabc5596_input-input-1769119181178-immkwkrpv_png_jpg.rf.9e45cd4a9160b72762d9d1091e937e81.jpg", "expected": "22", "predicted": "20", "correct": false, "input_tokens": 1137, "output_tokens": 6, "elapsed_seconds": 3.6876095830230042, "metadata": {"question": "How many lens-box slots in the display grid are empty? Output the final count as a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 3.8005}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 38, "image": "1e37f04c-e13e-4595-8119-71801b83924e_png_jpg.rf.88d495e552edc70aa4a9fd4db0b6f2a4.jpg", "expected": "8", "predicted": "7", "correct": false, "input_tokens": 1153, "output_tokens": 5, "elapsed_seconds": 3.7117123330244794, "metadata": {"question": "How many grey boxes are provided for entering the \"Amount Enclosed\" in the payment stub at the bottom right? Output the final count as a single integer (e.g., 3).", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 3.8307}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 39, "image": "f0db827b-688f-45e5-b6d0-991c49108a4e_input-input-1771013479121-jj5wfnran_png_jpg.rf.78c029e9c9141b5c35558d767cf94681.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1143, "output_tokens": 5, "elapsed_seconds": 3.708344583050348, "metadata": {"question": "How many abnormal or defective candies are visible in the image? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.7749}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 40, "image": "c1300d50-94fc-4081-b871-8338cef58e16_input-input-1778695950497-jbtexy630_png_jpg.rf.21ec9923369fc4380c0cc3c8aba1d9c1.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1179, "output_tokens": 5, "elapsed_seconds": 3.1141210830537602, "metadata": {"question": "How many players wearing blue jerseys are visible on the ice? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1567}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 41, "image": "0212eb3d-e4b1-4ef4-9204-e920654bf677_input-input-1778110710064-oqhw5zz8j_png_jpg.rf.2faf044c9ba90e69aaaae8eaceafe6d4.jpg", "expected": "seven", "predicted": "seven", "correct": true, "input_tokens": 1150, "output_tokens": 5, "elapsed_seconds": 4.523231417057104, "metadata": {"question": "How many green \"Price Cut\" promotional tags are visible across the entire display? Answer strictly with a spelled-out word (e.g., \"one\", \"two\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.6468}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 42, "image": "4409ba1c-5b55-47e4-8fb3-ed245021d0bb_input-input-1776892569933-6scj88bzo_png_jpg.rf.92cb44b13f714204abf3b13ac1190860.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1147, "output_tokens": 5, "elapsed_seconds": 3.120993416989222, "metadata": {"question": "How many item refund lines with negative pound amounts are listed under 'Online Return'? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1921}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 43, "image": "20c6f561-491b-44ca-a96a-8f6d926b8307_png_jpg.rf.1bae1396728629da79305bdaaffa6fbb.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1142, "output_tokens": 5, "elapsed_seconds": 2.9475468340096995, "metadata": {"question": "How many bottles are crushed or dented? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9877}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 44, "image": "097f7d52-0fd1-4385-9ec4-65a9ee83d81b_input-input-1776852419339-bqf3nz0wx_png_jpg.rf.4a2de88188f1ad2a3d4b04855bc2f1c7.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1162, "output_tokens": 5, "elapsed_seconds": 5.398480040952563, "metadata": {"question": "How many bright green cars are parked in the visible parking spaces? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.6648}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 45, "image": "097f7d52-0fd1-4385-9ec4-65a9ee83d81b_input-input-1776852419339-bqf3nz0wx_png_jpg.rf.4a2de88188f1ad2a3d4b04855bc2f1c7.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1171, "output_tokens": 5, "elapsed_seconds": 3.662853917106986, "metadata": {"question": "How many empty parking spaces are located between the cyan car and the bright green car in their shared parking row? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.7662}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 46, "image": "5bab6379-3de6-4deb-9698-97dad64b505c_input-input-1769090638596-o1nehu2dd_png_jpg.rf.4104781e673773b15de3cf099cb4d3f2.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1194, "output_tokens": 5, "elapsed_seconds": 2.6676576669560745, "metadata": {"question": "If each wheelchair accessibility symbol marks one accessible parking space, how many accessible spaces are indicated by the symbols next to the building? Output the final count as a single integer (e.g., 4).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7347}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 47, "image": "f4155be5-83b2-4214-89e0-b21906a781bd_png_jpg.rf.3cc4abb5bae56fbe2c8c798fcfbe7077.jpg", "expected": "11", "predicted": "11", "correct": true, "input_tokens": 1161, "output_tokens": 6, "elapsed_seconds": 2.97544808301609, "metadata": {"question": "How many times does the quantity \"1\" appear in the leftmost column of the itemized list? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.036}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 48, "image": "dce06136-2d24-422b-a3b6-e100c9a4bad1_input-input-1780992231793-0zf74ymfd_png_jpg.rf.c2823e6e198b2039f5cd13aa75bebfbc.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1167, "output_tokens": 5, "elapsed_seconds": 2.689100332907401, "metadata": {"question": "How many cartoon characters are depicted in the orange section on the right side of the package? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7385}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 49, "image": "19f45907-d682-40cf-bb87-9133dc873871_input-input-1778506438615-gyarfruw4_png_jpg.rf.f1250911547dbb93c6724fe40a099c66.jpg", "expected": "9", "predicted": "9", "correct": true, "input_tokens": 1192, "output_tokens": 5, "elapsed_seconds": 2.5587897920049727, "metadata": {"question": "How many digits make up the serial number (S/N) printed at the top center of the meter? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.5841}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 50, "image": "e060bfb7-df44-43fd-83e7-fd09ac632863_png_jpg.rf.62cf5b61db7a2b02ec021799866318b3.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1145, "output_tokens": 5, "elapsed_seconds": 3.9942071250407025, "metadata": {"question": "How many vertical books with predominantly orange spines are visible on the shelf? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.0671}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 51, "image": "05d94928-3491-4ab4-92be-1784b5cbcb18_png_jpg.rf.c75a6c9ea5b6c16f44c39b7dc8f66216.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1188, "output_tokens": 5, "elapsed_seconds": 2.2783240420976654, "metadata": {"question": "How many leaf nodes (nodes with no children) are there in the binary tree shown at the top? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.295}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 52, "image": "1478f318-0372-4bbb-bf28-6cab8c447a59_input-input-1771868885484-ua18hynnb_png_jpg.rf.48494081054afe07b3a29e3cf54058fe.jpg", "expected": "8", "predicted": "8", "correct": true, "input_tokens": 1137, "output_tokens": 5, "elapsed_seconds": 5.659823708934709, "metadata": {"question": "How many Butterfinger candy bars are visible in column E4? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.7292}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 53, "image": "1478f318-0372-4bbb-bf28-6cab8c447a59_input-input-1771868885484-ua18hynnb_png_jpg.rf.48494081054afe07b3a29e3cf54058fe.jpg", "expected": "0", "predicted": "0", "correct": true, "input_tokens": 1146, "output_tokens": 5, "elapsed_seconds": 7.633994666975923, "metadata": {"question": "How many completely empty coil columns are visible between the yellow Butterfinger wrappers and the orange Reese's wrappers? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.7024}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 54, "image": "1478f318-0372-4bbb-bf28-6cab8c447a59_input-input-1771868885484-ua18hynnb_png_jpg.rf.48494081054afe07b3a29e3cf54058fe.jpg", "expected": "22", "predicted": "21", "correct": false, "input_tokens": 1145, "output_tokens": 6, "elapsed_seconds": 3.629772041924298, "metadata": {"question": "How many M&M's packages are visible in the machine? Output the final count as a single integer (e.g., 3).", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 3.7002}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 55, "image": "01c39aed-93d2-4359-917a-1d3f4dbc60a1_png_jpg.rf.c61a3470f20d4496fda1707eaa58d82d.jpg", "expected": "4", "predicted": "8", "correct": false, "input_tokens": 1149, "output_tokens": 5, "elapsed_seconds": 3.010518875089474, "metadata": {"question": "How many blue bolts labeled with the number 23 are shown in the exploded diagram? Output the final count as a single integer (e.g., 3).", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 3.0394}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 56, "image": "396282bc-0d15-4e53-8803-7e5b69c1bef0_input-input-1773381099913-tgin8sfew_png_jpg.rf.adc85e75f7f5793f05427ecdddc06a07.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1185, "output_tokens": 5, "elapsed_seconds": 3.172959459014237, "metadata": {"question": "How many rectangular metal trays holding dessert cups are visible on the right side of the table? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.2219}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 57, "image": "396282bc-0d15-4e53-8803-7e5b69c1bef0_input-input-1773381099913-tgin8sfew_png_jpg.rf.adc85e75f7f5793f05427ecdddc06a07.jpg", "expected": "12", "predicted": "12", "correct": true, "input_tokens": 1188, "output_tokens": 6, "elapsed_seconds": 3.453928165952675, "metadata": {"question": "How many dessert cups are in the metal tray immediately to the right of the blue-striped paper sheets? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.5001}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 58, "image": "1b7f1694-d9e1-496c-aed6-ea6baec4088a_png_jpg.rf.ccb9d030f1b587dd97bba12f6b7ec184.jpg", "expected": "8", "predicted": "8", "correct": true, "input_tokens": 1171, "output_tokens": 5, "elapsed_seconds": 2.9279487089952454, "metadata": {"question": "How many large airplanes are parked on the main concrete apron in the upper half of the image? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9919}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 59, "image": "be797fcf-056b-44b2-a1da-b667c3185959_input-input-1773768805936-h107qsgy2_png_jpg.rf.866a72ab13a76381b59fc1a3280496d2.jpg", "expected": "10", "predicted": "4", "correct": false, "input_tokens": 1159, "output_tokens": 5, "elapsed_seconds": 2.629552249913104, "metadata": {"question": "How many devices can fit inside a single front-to-back column of the large tilted black tray in the foreground? Output the final count as a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 2.6822}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 60, "image": "be797fcf-056b-44b2-a1da-b667c3185959_input-input-1773768805936-h107qsgy2_png_jpg.rf.866a72ab13a76381b59fc1a3280496d2.jpg", "expected": "22", "predicted": "14", "correct": false, "input_tokens": 1152, "output_tokens": 6, "elapsed_seconds": 2.838782540988177, "metadata": {"question": "How many empty slots in total are in the large tilted black tray in the foreground? Output the final count as a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 2.8925}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 61, "image": "122ef3fe-1e8b-4790-b9e1-721a9c9d4b86_input-input-1771297576554-0xpo2dsmn_png_jpg.rf.1efcee784f71e642e8048f85c6a89ecd.jpg", "expected": "8", "predicted": "8", "correct": true, "input_tokens": 1141, "output_tokens": 5, "elapsed_seconds": 3.085143583943136, "metadata": {"question": "How many orange packets are grouped together at the top of the stack inside the box? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.206}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 62, "image": "36e6af65-9cf0-4b16-b5b2-2dbf5d54ffae_input-input-1778190001786-w0937ikxt_png_jpg.rf.b036a53ece9920b07b8682ac35c9bbd2.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1178, "output_tokens": 5, "elapsed_seconds": 3.1571735410252586, "metadata": {"question": "How many blue cables are plugged into the ports on the left side of the white panel? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.188}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 63, "image": "36e6af65-9cf0-4b16-b5b2-2dbf5d54ffae_input-input-1778190001786-w0937ikxt_png_jpg.rf.b036a53ece9920b07b8682ac35c9bbd2.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1174, "output_tokens": 5, "elapsed_seconds": 2.105589459068142, "metadata": {"question": "How many yellow cables are plugged into the ports on the white panel? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.1344}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 64, "image": "f0c68933-64c5-49e6-8845-707afdc32a4e_input-input-1776058768062-tn8vkqrxk_png_jpg.rf.c66fb27d88e528755f22742fcdf00c02.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1165, "output_tokens": 5, "elapsed_seconds": 3.513973499997519, "metadata": {"question": "How many people are visible in the image? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.5913}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 65, "image": "3afd1b0e-33ad-4f1a-9ddf-b204107eb230_input-input-1776059274665-zosrz5qle_png_jpg.rf.70231d8dad35e71bcd49d5cb93b2dfc9.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1162, "output_tokens": 5, "elapsed_seconds": 2.7594947080360726, "metadata": {"question": "How many people are currently seated at the desks in the office? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7958}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 66, "image": "43a0837b-dfa3-4160-8487-71e9daeb5b99_input-input-1775138372300-avlcj3a0a_png_jpg.rf.1902113cf3fe1dd691ba2bbab90fd88b.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1171, "output_tokens": 5, "elapsed_seconds": 1.9305584999965504, "metadata": {"question": "How many large dark symbols are visible in the vertical line of markings on the light gray panel? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 1.9389}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 67, "image": "26aea39a-beea-43d5-bbd5-c716b698ebaf_png_jpg.rf.b43c70658245fd13f38d8b30e5bdc44d.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1165, "output_tokens": 5, "elapsed_seconds": 3.154197249910794, "metadata": {"question": "How many shrink-wrapped packs of coke bottles with blue caps are visible on the pallet? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1767}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 68, "image": "c23e413c-57e2-4e59-946e-b511526184a9_input-input-1769617613579-ed7ya5fh1_png_jpg.rf.da6ffdada344ce2ab64d1676e0515d25.jpg", "expected": "12", "predicted": "11", "correct": false, "input_tokens": 1179, "output_tokens": 6, "elapsed_seconds": 3.001201083068736, "metadata": {"question": "How many flat metal brackets are visible inside the blue bin? Output the final count as a single integer (e.g., 3).", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 3.0611}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 69, "image": "c23e413c-57e2-4e59-946e-b511526184a9_input-input-1769617613579-ed7ya5fh1_png_jpg.rf.da6ffdada344ce2ab64d1676e0515d25.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1183, "output_tokens": 5, "elapsed_seconds": 2.895520874997601, "metadata": {"question": "How many circular holes are clearly visible on the topmost, diagonally oriented metal bracket? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9551}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 70, "image": "0f07f712-f1ce-4b90-963e-7849862d827d_input-input-1779919148318-fedk52cp8_png_jpg.rf.616ee6530fd2873ab0d91b0ddd7140cc.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1175, "output_tokens": 5, "elapsed_seconds": 2.999909333069809, "metadata": {"question": "How many square bricks with exactly four studs are visible on the white surface? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.0317}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 71, "image": "bcd8aa70-e59a-4911-96e8-53c5b846dd6b_png_jpg.rf.fc6a6dff57ebb1f0a09fcd9fda6122f4.jpg", "expected": "10", "predicted": "10", "correct": true, "input_tokens": 1190, "output_tokens": 6, "elapsed_seconds": 3.1344282920472324, "metadata": {"question": "How many distinct size codes are listed in the 'SIZE' column on the far left of the table? Output the final count as a single integer (e.g., 5).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.2008}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 72, "image": "3c78fcf8-2bce-4157-ac2c-e52f999a378c_input-input-1768902949600-rch94svhd_png_jpg.rf.6b75c0351af58e8707a0b1d75af18aa8.jpg", "expected": "three", "predicted": "three", "correct": true, "input_tokens": 1147, "output_tokens": 5, "elapsed_seconds": 6.126062000053935, "metadata": {"question": "How many red digits are present on the main rolling counter display? Answer strictly with a spelled-out word (e.g., \"one\", \"two\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.244}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 73, "image": "621387a6-d868-4912-90f1-7e8abd9df0c0_png_jpg.rf.daf83e0999a9864ca1e0ed08dade1191.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1172, "output_tokens": 5, "elapsed_seconds": 3.577343750046566, "metadata": {"question": "How many small circular subdials are visible on the blue Tissot watch face? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.6737}} diff --git a/results/counting_gemini-4-argon-eap_low_20261012_223838.jsonl b/results/counting_gemini-4-argon-eap_low_20261012_223838.jsonl deleted file mode 100644 index 1dd066a..0000000 --- a/results/counting_gemini-4-argon-eap_low_20261012_223838.jsonl +++ /dev/null @@ -1,74 +0,0 @@ -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 0, "image": "f0d4c0bf-3a21-41a5-b0c2-c33b94feadb4_input-input-1771859752511-bk56l0pe1_png_jpg.rf.4af05c5fc1bdd4926894682e94c4b7b1.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1139, "output_tokens": 5, "elapsed_seconds": 3.822261375025846, "metadata": {"question": "How many vertical metal locking bars run down the back of the container doors? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.9279}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 1, "image": "63b26fc7-8349-4fbc-a0ad-e9d46bf28979_input-input-1769103313709-j5jk2uqdi_png_jpg.rf.a410e069cd682ad340d9504a57fce39d.jpg", "expected": "8", "predicted": "9", "correct": false, "input_tokens": 1145, "output_tokens": 5, "elapsed_seconds": 2.988057833048515, "metadata": {"question": "How many of the orange blister pockets in the pack are open (already emptied, with no capsule remaining)? Output the final count as a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 3.0467}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 2, "image": "6c44004a-c031-4396-a931-9a863a8802d2_png_jpg.rf.78a91a481b9044d0bc75154221a7ac45.jpg", "expected": "six", "predicted": "Six", "correct": true, "input_tokens": 1147, "output_tokens": 5, "elapsed_seconds": 3.2719439170323312, "metadata": {"question": "How many circular icons are visible in the horizontal menu bar directly above the \"Expenses (UK-Bank)\" title? Answer strictly with a spelled-out word.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.3333}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 3, "image": "4f2b6aab-f1c1-4f16-b3ca-bbe4d399a897_input-input-1773381300920-0uaf4zno9_png_jpg.rf.0a20aa6813607730b27a12060a642dbb.jpg", "expected": "15", "predicted": "15", "correct": true, "input_tokens": 1185, "output_tokens": 6, "elapsed_seconds": 2.677141790976748, "metadata": {"question": "How many small, square white bowls are arranged on the fully visible metal tray positioned in the top right area of the image? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7263}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 4, "image": "26584325-f95e-41e4-9f4b-99afc5ff078d_png_jpg.rf.9a3624b41cfb86cab6301d79694fbf6d.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1153, "output_tokens": 5, "elapsed_seconds": 3.3194250829983503, "metadata": {"question": "How many checkmarks are visible in the \"NEED\" column of the \"SERVICES:\" table on the left? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.4001}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 5, "image": "c56ead6c-0697-4216-a27e-fbd28c19aaed_input-input-1781393738001-e3qhlmchi_png_jpg.rf.9ab190943804e3d54fa1136c7886e772.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1186, "output_tokens": 5, "elapsed_seconds": 3.0778125000651926, "metadata": {"question": "How many distinct horizontal tire sidewalls are stacked in the image? Output the final count as a single integer (e.g., 5).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1262}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 6, "image": "003df5d3-f7ea-4567-8055-8733d3b39a27_input-input-1780991138503-fltoik3ij_png_jpg.rf.cf4d02bc406dbf7decf23b5678d8956d.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1169, "output_tokens": 5, "elapsed_seconds": 4.253653333056718, "metadata": {"question": "How many workers are visible in the warehouse? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.3093}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 7, "image": "4cf40711-7419-4961-8920-88715c8b601f_input-input-1777166096829-s1ov2lkxh_png_jpg.rf.990c23aecc8702b0cfa58e90a8441f46.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1180, "output_tokens": 5, "elapsed_seconds": 3.7354787499643862, "metadata": {"question": "How many rectangular black plates with a 2x4 stud configuration are clearly visible in the image? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.7897}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 8, "image": "4cf40711-7419-4961-8920-88715c8b601f_input-input-1777166096829-s1ov2lkxh_png_jpg.rf.990c23aecc8702b0cfa58e90a8441f46.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1178, "output_tokens": 5, "elapsed_seconds": 3.1677367909578606, "metadata": {"question": "How many individual round white tiles printed with a black eye pattern are visible in the assortment? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.2221}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 9, "image": "4cf40711-7419-4961-8920-88715c8b601f_input-input-1777166096829-s1ov2lkxh_png_jpg.rf.990c23aecc8702b0cfa58e90a8441f46.jpg", "expected": "2", "predicted": "3", "correct": false, "input_tokens": 1175, "output_tokens": 5, "elapsed_seconds": 2.750201708986424, "metadata": {"question": "How many distinct, whole animal figures are visible among the scattered LEGO pieces? Output the final count as a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 2.8041}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 10, "image": "33299f4b-1857-4400-a31d-677ecd2c277a_input-input-1771415890481-7pfiombu0_png_jpg.rf.5df1a4fcae6b4c6acd16051c660f783f.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1151, "output_tokens": 5, "elapsed_seconds": 2.96390729106497, "metadata": {"question": "How many red directional arrows are painted on the large grey pipes in the foreground? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.0224}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 11, "image": "48fa18cc-eee4-4e13-9647-318c7155420c_png_jpg.rf.8a732d4c26a0198146370e4b98476551.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1143, "output_tokens": 5, "elapsed_seconds": 2.903778165928088, "metadata": {"question": "How many rows in the main table have a blue background? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9785}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 12, "image": "c9b00dcb-e093-43d9-baf8-f1971ff328af_input-input-1769103177177-3x5hfzwbp_png_jpg.rf.5036bc0df858e9911be4fa08e6b80a40.jpg", "expected": "22", "predicted": "22", "correct": true, "input_tokens": 1145, "output_tokens": 6, "elapsed_seconds": 3.2310468750074506, "metadata": {"question": "How many intact capsules remain in the blister pack across all rows? Output the final count as a single integer (e.g., 15).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.2838}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 13, "image": "056e17c9-9b46-496a-9cf8-c1b54bd73216_png_jpg.rf.1e94f330e43f2a21d12e145273ac3f94.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1163, "output_tokens": 5, "elapsed_seconds": 2.0459551670355722, "metadata": {"question": "How many files or folders are listed directly inside the \"app\" directory in the file explorer on the right side? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.0864}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 14, "image": "db35c41c-a9ed-41bc-96cf-60186d715477_input-input-1774653477270-a4j6j7v6e_png_jpg.rf.81a4c1ac6254af08518ea58b5137ed9c.jpg", "expected": "8", "predicted": "8", "correct": true, "input_tokens": 1184, "output_tokens": 5, "elapsed_seconds": 3.51973854098469, "metadata": {"question": "How many workers are standing or kneeling directly on the rebar grid inside the excavated pit? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.5686}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 15, "image": "db35c41c-a9ed-41bc-96cf-60186d715477_input-input-1774653477270-a4j6j7v6e_png_jpg.rf.81a4c1ac6254af08518ea58b5137ed9c.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1185, "output_tokens": 5, "elapsed_seconds": 4.478144000051543, "metadata": {"question": "How many workers are standing together on the dirt level directly in front of the white crane? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.5259}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 16, "image": "db35c41c-a9ed-41bc-96cf-60186d715477_input-input-1774653477270-a4j6j7v6e_png_jpg.rf.81a4c1ac6254af08518ea58b5137ed9c.jpg", "expected": "0", "predicted": "0", "correct": true, "input_tokens": 1180, "output_tokens": 5, "elapsed_seconds": 4.690318499924615, "metadata": {"question": "How many workers are not wearing head protection (a hard hat)? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.742}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 17, "image": "1b4e5426-d109-4398-8e45-ab1dc497980f_png_jpg.rf.77e9ea61b4fcfb4286af38f0a02211c8.jpg", "expected": "12", "predicted": "12", "correct": true, "input_tokens": 1182, "output_tokens": 6, "elapsed_seconds": 2.623674041009508, "metadata": {"question": "How many red circles are drawn around lowercase letters in the table? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.6606}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 18, "image": "21a6d806-d16e-4452-a2e3-7fa520bd671d_input-input-1769360430457-50a88jpis_png_jpg.rf.686e67d06dd1f487be5dc88fff5e7bc3.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1149, "output_tokens": 5, "elapsed_seconds": 3.739522624993697, "metadata": {"question": "How many individual screws are visibly resting inside the plastic bin labeled \"DIN 912 M8 x 30\"? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.8608}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 19, "image": "020c3db8-dcc2-40e0-bf26-c874edb1612b_png_jpg.rf.ac73a13cb831f0a2f94ea3824f41a47d.jpg", "expected": "11", "predicted": "11", "correct": true, "input_tokens": 1176, "output_tokens": 6, "elapsed_seconds": 2.454914959031157, "metadata": {"question": "How many items are listed under the 'DRY GOODS' section header in the table? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.5108}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 20, "image": "1ad1c779-b18f-4aaa-9cf0-6155cb19879b_input-input-1769444672197-ug2bdacps_png_jpg.rf.f23a8a19a08199a726f99d7a1549be63.jpg", "expected": "15", "predicted": "15", "correct": true, "input_tokens": 1167, "output_tokens": 6, "elapsed_seconds": 1.9943315829150379, "metadata": {"question": "How many round pills are visible in the blister pack on the right side of the image? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.0123}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 21, "image": "2e15743f-6bc8-4cce-8ec0-66eea3a6ca2f_input-input-1779607392296-qwxxnltdb_png_jpg.rf.608695980e866c196074445d3c3449ce.jpg", "expected": "0", "predicted": "0", "correct": true, "input_tokens": 1178, "output_tokens": 5, "elapsed_seconds": 2.516510457964614, "metadata": {"question": "How many water bottles with blue caps are visible on the bottom shelf? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.5523}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 22, "image": "214d5a30-f38a-4509-bd53-1e3ea49f9c8b_png_jpg.rf.b1c6d3fc8fd27d8b69dffde40d80310c.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1149, "output_tokens": 5, "elapsed_seconds": 3.7372756249969825, "metadata": {"question": "How many blue pen marks/ticks are visible in the 'WITHDRAWALS' column? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.8013}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 23, "image": "403906f1-d101-4a15-b0b3-43f90df6b13e_input-input-1780067976213-f8fki9qzj_png_jpg.rf.aa03e3dd2a567694bf8badd574e32ae3.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1174, "output_tokens": 5, "elapsed_seconds": 4.001723583089188, "metadata": {"question": "How many white tables are located between the facing seats in the carriage? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.0951}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 24, "image": "0f7a1b1b-b0f9-4dba-9659-0455701b7a3f_png_jpg.rf.ab769bd32b93fa65b7df75c6ec1ef3cd.jpg", "expected": "five", "predicted": "five", "correct": true, "input_tokens": 1152, "output_tokens": 5, "elapsed_seconds": 2.390269457944669, "metadata": {"question": "How many checkmarks are written in the column labeled \"4\" in the evaluation table? Answer strictly with a spelled-out word (e.g., \"one\", \"two\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.4076}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 25, "image": "d489f405-013e-4e8b-968a-1d9db2060050_png_jpg.rf.be190d9e1ea972d827d8c52c3391f1fd.jpg", "expected": "9", "predicted": "9", "correct": true, "input_tokens": 1167, "output_tokens": 5, "elapsed_seconds": 2.1444792499532923, "metadata": {"question": "How many handwritten checkmarks are visible in the left margin next to the line numbers (LNO)? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.1597}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 26, "image": "1b411f19-76c2-4028-b3ab-832256b9fb5e_input-input-1779844698418-8rz7uj6gh_png_jpg.rf.4d2907a675bb4eca3f3ae3a40822117f.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1144, "output_tokens": 5, "elapsed_seconds": 10.322070750058629, "metadata": {"question": "How many brown cardboard boxes prominently labeled \"Real-Kill\" are visible on the top storage shelf? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.4366}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 27, "image": "1b411f19-76c2-4028-b3ab-832256b9fb5e_input-input-1779844698418-8rz7uj6gh_png_jpg.rf.4d2907a675bb4eca3f3ae3a40822117f.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1146, "output_tokens": 5, "elapsed_seconds": 3.4682877500308678, "metadata": {"question": "How many green and white \"Bug B-gon\" jugs are visible on the fourth shelf from the top? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.5828}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 28, "image": "02eaa1d1-ffaf-46f3-b9ef-b7ab3551b738_input-input-1777971607736-x33g85l3u_png_jpg.rf.4056fc9b233d537c46ed68224f3f2e27.jpg", "expected": "15", "predicted": "7", "correct": false, "input_tokens": 1176, "output_tokens": 5, "elapsed_seconds": 2.3654797909548506, "metadata": {"question": "How many tiles are missing from the wall? Output the final count as a single integer (e.g., 3).", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 2.4194}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 29, "image": "25e6ed9c-2d37-4533-8021-977770aa97d1_input-input-1780691294811-oql9y0w9f_png_jpg.rf.36701f4301765d1397e29a5f8d8f9471.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1172, "output_tokens": 5, "elapsed_seconds": 2.668830665992573, "metadata": {"question": "How many green gas cylinders are present in the truck bed? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7196}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 30, "image": "76d985c4-8ba2-4660-871b-939bba136896_input-input-1774985116190-hco0gpvmt_png_jpg.rf.e2a22365c854e0212534e5a8675bb4c9.jpg", "expected": "7", "predicted": "7", "correct": true, "input_tokens": 1167, "output_tokens": 5, "elapsed_seconds": 2.960230208002031, "metadata": {"question": "How many bullet holes are located entirely or partially within the large black circular area of the target? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.0557}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 31, "image": "76d985c4-8ba2-4660-871b-939bba136896_input-input-1774985116190-hco0gpvmt_png_jpg.rf.e2a22365c854e0212534e5a8675bb4c9.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1170, "output_tokens": 5, "elapsed_seconds": 3.0805082080187276, "metadata": {"question": "How many bullet holes are visibly piercing the off-white outer area in the lower right quadrant of the image? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1785}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 32, "image": "0e3ca6d7-7301-474e-bad2-3bc3a9aa7140_input-input-1780425165960-zu9asq91k_png_jpg.rf.7dd6f9559d3f83a1e451dd68ab07f639.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1181, "output_tokens": 5, "elapsed_seconds": 3.0280831250129268, "metadata": {"question": "How many large, circular white feeding trays are attached to the thicker pipe running diagonally on the right side? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.0814}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 33, "image": "d0b99ce8-8a3b-4d1d-98d4-b34137b19f08_input-input-1768805031339-rs4dctz0p_png_jpg.rf.bbdc304ba5f61cb85ea823bce3f757b9.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1174, "output_tokens": 5, "elapsed_seconds": 4.141501709003933, "metadata": {"question": "How many women are depicted on the stamp labeled \"WOMEN IN OUR ARMED SERVICES\" in the bottom row? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.2383}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 34, "image": "d0b99ce8-8a3b-4d1d-98d4-b34137b19f08_input-input-1768805031339-rs4dctz0p_png_jpg.rf.bbdc304ba5f61cb85ea823bce3f757b9.jpg", "expected": "28", "predicted": "28", "correct": true, "input_tokens": 1170, "output_tokens": 6, "elapsed_seconds": 7.981601124978624, "metadata": {"question": "How many stamps in the display show a 3\u00a2 (three-cent) denomination? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.0794}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 35, "image": "d0b99ce8-8a3b-4d1d-98d4-b34137b19f08_input-input-1768805031339-rs4dctz0p_png_jpg.rf.bbdc304ba5f61cb85ea823bce3f757b9.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1165, "output_tokens": 5, "elapsed_seconds": 4.112315166043118, "metadata": {"question": "How many predominantly purple or violet stamps are visible in the display? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.2105}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 36, "image": "3cc9dff1-0e00-4900-9013-00d7b1be6a09_input-input-1779942886819-2wwj3rkhy_png_jpg.rf.2b0fb18f9f03d4dead03ef88ead19450.jpg", "expected": "8", "predicted": "8", "correct": true, "input_tokens": 1183, "output_tokens": 5, "elapsed_seconds": 1.9606824159855023, "metadata": {"question": "How many runners are visible on the track? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 1.9815}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 37, "image": "76bbc10c-bed4-41d3-8622-035eeabc5596_input-input-1769119181178-immkwkrpv_png_jpg.rf.9e45cd4a9160b72762d9d1091e937e81.jpg", "expected": "22", "predicted": "20", "correct": false, "input_tokens": 1137, "output_tokens": 6, "elapsed_seconds": 3.6616497499635443, "metadata": {"question": "How many lens-box slots in the display grid are empty? Output the final count as a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 3.7738}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 38, "image": "1e37f04c-e13e-4595-8119-71801b83924e_png_jpg.rf.88d495e552edc70aa4a9fd4db0b6f2a4.jpg", "expected": "8", "predicted": "7", "correct": false, "input_tokens": 1153, "output_tokens": 5, "elapsed_seconds": 4.045750958030112, "metadata": {"question": "How many grey boxes are provided for entering the \"Amount Enclosed\" in the payment stub at the bottom right? Output the final count as a single integer (e.g., 3).", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 4.1645}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 39, "image": "f0db827b-688f-45e5-b6d0-991c49108a4e_input-input-1771013479121-jj5wfnran_png_jpg.rf.78c029e9c9141b5c35558d767cf94681.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1143, "output_tokens": 5, "elapsed_seconds": 2.6230707499198616, "metadata": {"question": "How many abnormal or defective candies are visible in the image? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.6918}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 40, "image": "c1300d50-94fc-4081-b871-8338cef58e16_input-input-1778695950497-jbtexy630_png_jpg.rf.21ec9923369fc4380c0cc3c8aba1d9c1.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1179, "output_tokens": 5, "elapsed_seconds": 3.8326545419404283, "metadata": {"question": "How many players wearing blue jerseys are visible on the ice? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.8713}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 41, "image": "0212eb3d-e4b1-4ef4-9204-e920654bf677_input-input-1778110710064-oqhw5zz8j_png_jpg.rf.2faf044c9ba90e69aaaae8eaceafe6d4.jpg", "expected": "seven", "predicted": "seven", "correct": true, "input_tokens": 1150, "output_tokens": 5, "elapsed_seconds": 4.221084958058782, "metadata": {"question": "How many green \"Price Cut\" promotional tags are visible across the entire display? Answer strictly with a spelled-out word (e.g., \"one\", \"two\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.3404}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 42, "image": "4409ba1c-5b55-47e4-8fb3-ed245021d0bb_input-input-1776892569933-6scj88bzo_png_jpg.rf.92cb44b13f714204abf3b13ac1190860.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1147, "output_tokens": 5, "elapsed_seconds": 2.965273500070907, "metadata": {"question": "How many item refund lines with negative pound amounts are listed under 'Online Return'? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.0375}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 43, "image": "20c6f561-491b-44ca-a96a-8f6d926b8307_png_jpg.rf.1bae1396728629da79305bdaaffa6fbb.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1142, "output_tokens": 5, "elapsed_seconds": 2.8589113749330863, "metadata": {"question": "How many bottles are crushed or dented? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8988}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 44, "image": "097f7d52-0fd1-4385-9ec4-65a9ee83d81b_input-input-1776852419339-bqf3nz0wx_png_jpg.rf.4a2de88188f1ad2a3d4b04855bc2f1c7.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1162, "output_tokens": 5, "elapsed_seconds": 4.346926874946803, "metadata": {"question": "How many bright green cars are parked in the visible parking spaces? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.6045}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 45, "image": "097f7d52-0fd1-4385-9ec4-65a9ee83d81b_input-input-1776852419339-bqf3nz0wx_png_jpg.rf.4a2de88188f1ad2a3d4b04855bc2f1c7.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1171, "output_tokens": 5, "elapsed_seconds": 7.585291417082772, "metadata": {"question": "How many empty parking spaces are located between the cyan car and the bright green car in their shared parking row? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.6977}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 46, "image": "5bab6379-3de6-4deb-9698-97dad64b505c_input-input-1769090638596-o1nehu2dd_png_jpg.rf.4104781e673773b15de3cf099cb4d3f2.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1194, "output_tokens": 5, "elapsed_seconds": 3.0804881670046598, "metadata": {"question": "If each wheelchair accessibility symbol marks one accessible parking space, how many accessible spaces are indicated by the symbols next to the building? Output the final count as a single integer (e.g., 4).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1461}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 47, "image": "f4155be5-83b2-4214-89e0-b21906a781bd_png_jpg.rf.3cc4abb5bae56fbe2c8c798fcfbe7077.jpg", "expected": "11", "predicted": "11", "correct": true, "input_tokens": 1161, "output_tokens": 6, "elapsed_seconds": 4.803532166988589, "metadata": {"question": "How many times does the quantity \"1\" appear in the leftmost column of the itemized list? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.8638}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 48, "image": "dce06136-2d24-422b-a3b6-e100c9a4bad1_input-input-1780992231793-0zf74ymfd_png_jpg.rf.c2823e6e198b2039f5cd13aa75bebfbc.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1167, "output_tokens": 5, "elapsed_seconds": 5.173611624981277, "metadata": {"question": "How many cartoon characters are depicted in the orange section on the right side of the package? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.2218}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 49, "image": "19f45907-d682-40cf-bb87-9133dc873871_input-input-1778506438615-gyarfruw4_png_jpg.rf.f1250911547dbb93c6724fe40a099c66.jpg", "expected": "9", "predicted": "9", "correct": true, "input_tokens": 1192, "output_tokens": 5, "elapsed_seconds": 3.030830333940685, "metadata": {"question": "How many digits make up the serial number (S/N) printed at the top center of the meter? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.0531}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 50, "image": "e060bfb7-df44-43fd-83e7-fd09ac632863_png_jpg.rf.62cf5b61db7a2b02ec021799866318b3.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1145, "output_tokens": 5, "elapsed_seconds": 2.716471374966204, "metadata": {"question": "How many vertical books with predominantly orange spines are visible on the shelf? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7879}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 51, "image": "05d94928-3491-4ab4-92be-1784b5cbcb18_png_jpg.rf.c75a6c9ea5b6c16f44c39b7dc8f66216.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1188, "output_tokens": 5, "elapsed_seconds": 2.3370086669456214, "metadata": {"question": "How many leaf nodes (nodes with no children) are there in the binary tree shown at the top? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.3542}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 52, "image": "1478f318-0372-4bbb-bf28-6cab8c447a59_input-input-1771868885484-ua18hynnb_png_jpg.rf.48494081054afe07b3a29e3cf54058fe.jpg", "expected": "8", "predicted": "8", "correct": true, "input_tokens": 1137, "output_tokens": 5, "elapsed_seconds": 4.1763238329440355, "metadata": {"question": "How many Butterfinger candy bars are visible in column E4? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.2474}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 53, "image": "1478f318-0372-4bbb-bf28-6cab8c447a59_input-input-1771868885484-ua18hynnb_png_jpg.rf.48494081054afe07b3a29e3cf54058fe.jpg", "expected": "0", "predicted": "0", "correct": true, "input_tokens": 1146, "output_tokens": 5, "elapsed_seconds": 4.169183541089296, "metadata": {"question": "How many completely empty coil columns are visible between the yellow Butterfinger wrappers and the orange Reese's wrappers? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.2386}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 54, "image": "1478f318-0372-4bbb-bf28-6cab8c447a59_input-input-1771868885484-ua18hynnb_png_jpg.rf.48494081054afe07b3a29e3cf54058fe.jpg", "expected": "22", "predicted": "21", "correct": false, "input_tokens": 1145, "output_tokens": 6, "elapsed_seconds": 6.145997292012908, "metadata": {"question": "How many M&M's packages are visible in the machine? Output the final count as a single integer (e.g., 3).", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 6.2147}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 55, "image": "01c39aed-93d2-4359-917a-1d3f4dbc60a1_png_jpg.rf.c61a3470f20d4496fda1707eaa58d82d.jpg", "expected": "4", "predicted": "6", "correct": false, "input_tokens": 1149, "output_tokens": 5, "elapsed_seconds": 4.338506583939306, "metadata": {"question": "How many blue bolts labeled with the number 23 are shown in the exploded diagram? Output the final count as a single integer (e.g., 3).", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 4.3691}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 56, "image": "396282bc-0d15-4e53-8803-7e5b69c1bef0_input-input-1773381099913-tgin8sfew_png_jpg.rf.adc85e75f7f5793f05427ecdddc06a07.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1185, "output_tokens": 5, "elapsed_seconds": 3.3219759999774396, "metadata": {"question": "How many rectangular metal trays holding dessert cups are visible on the right side of the table? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.3672}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 57, "image": "396282bc-0d15-4e53-8803-7e5b69c1bef0_input-input-1773381099913-tgin8sfew_png_jpg.rf.adc85e75f7f5793f05427ecdddc06a07.jpg", "expected": "12", "predicted": "12", "correct": true, "input_tokens": 1188, "output_tokens": 6, "elapsed_seconds": 3.2203955419827253, "metadata": {"question": "How many dessert cups are in the metal tray immediately to the right of the blue-striped paper sheets? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.2657}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 58, "image": "1b7f1694-d9e1-496c-aed6-ea6baec4088a_png_jpg.rf.ccb9d030f1b587dd97bba12f6b7ec184.jpg", "expected": "8", "predicted": "8", "correct": true, "input_tokens": 1171, "output_tokens": 5, "elapsed_seconds": 2.943686540937051, "metadata": {"question": "How many large airplanes are parked on the main concrete apron in the upper half of the image? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.0069}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 59, "image": "be797fcf-056b-44b2-a1da-b667c3185959_input-input-1773768805936-h107qsgy2_png_jpg.rf.866a72ab13a76381b59fc1a3280496d2.jpg", "expected": "10", "predicted": "4", "correct": false, "input_tokens": 1159, "output_tokens": 5, "elapsed_seconds": 2.6787585830315948, "metadata": {"question": "How many devices can fit inside a single front-to-back column of the large tilted black tray in the foreground? Output the final count as a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 2.7315}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 60, "image": "be797fcf-056b-44b2-a1da-b667c3185959_input-input-1773768805936-h107qsgy2_png_jpg.rf.866a72ab13a76381b59fc1a3280496d2.jpg", "expected": "22", "predicted": "24", "correct": false, "input_tokens": 1152, "output_tokens": 6, "elapsed_seconds": 2.8882125839591026, "metadata": {"question": "How many empty slots in total are in the large tilted black tray in the foreground? Output the final count as a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 2.9409}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 61, "image": "122ef3fe-1e8b-4790-b9e1-721a9c9d4b86_input-input-1771297576554-0xpo2dsmn_png_jpg.rf.1efcee784f71e642e8048f85c6a89ecd.jpg", "expected": "8", "predicted": "9", "correct": false, "input_tokens": 1141, "output_tokens": 5, "elapsed_seconds": 3.4813489579828456, "metadata": {"question": "How many orange packets are grouped together at the top of the stack inside the box? Output the final count as a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 3.6025}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 62, "image": "36e6af65-9cf0-4b16-b5b2-2dbf5d54ffae_input-input-1778190001786-w0937ikxt_png_jpg.rf.b036a53ece9920b07b8682ac35c9bbd2.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1178, "output_tokens": 5, "elapsed_seconds": 2.3371045000385493, "metadata": {"question": "How many blue cables are plugged into the ports on the left side of the white panel? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.3665}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 63, "image": "36e6af65-9cf0-4b16-b5b2-2dbf5d54ffae_input-input-1778190001786-w0937ikxt_png_jpg.rf.b036a53ece9920b07b8682ac35c9bbd2.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1174, "output_tokens": 5, "elapsed_seconds": 3.340410167002119, "metadata": {"question": "How many yellow cables are plugged into the ports on the white panel? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.3728}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 64, "image": "f0c68933-64c5-49e6-8845-707afdc32a4e_input-input-1776058768062-tn8vkqrxk_png_jpg.rf.c66fb27d88e528755f22742fcdf00c02.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1165, "output_tokens": 5, "elapsed_seconds": 3.60426166607067, "metadata": {"question": "How many people are visible in the image? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.6793}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 65, "image": "3afd1b0e-33ad-4f1a-9ddf-b204107eb230_input-input-1776059274665-zosrz5qle_png_jpg.rf.70231d8dad35e71bcd49d5cb93b2dfc9.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1162, "output_tokens": 5, "elapsed_seconds": 2.8972862500231713, "metadata": {"question": "How many people are currently seated at the desks in the office? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9347}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 66, "image": "43a0837b-dfa3-4160-8487-71e9daeb5b99_input-input-1775138372300-avlcj3a0a_png_jpg.rf.1902113cf3fe1dd691ba2bbab90fd88b.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1171, "output_tokens": 5, "elapsed_seconds": 2.00454237498343, "metadata": {"question": "How many large dark symbols are visible in the vertical line of markings on the light gray panel? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.0109}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 67, "image": "26aea39a-beea-43d5-bbd5-c716b698ebaf_png_jpg.rf.b43c70658245fd13f38d8b30e5bdc44d.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1165, "output_tokens": 5, "elapsed_seconds": 2.731978583964519, "metadata": {"question": "How many shrink-wrapped packs of coke bottles with blue caps are visible on the pallet? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7523}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 68, "image": "c23e413c-57e2-4e59-946e-b511526184a9_input-input-1769617613579-ed7ya5fh1_png_jpg.rf.da6ffdada344ce2ab64d1676e0515d25.jpg", "expected": "12", "predicted": "12", "correct": true, "input_tokens": 1179, "output_tokens": 6, "elapsed_seconds": 2.5951102080289274, "metadata": {"question": "How many flat metal brackets are visible inside the blue bin? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.6573}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 69, "image": "c23e413c-57e2-4e59-946e-b511526184a9_input-input-1769617613579-ed7ya5fh1_png_jpg.rf.da6ffdada344ce2ab64d1676e0515d25.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1183, "output_tokens": 5, "elapsed_seconds": 3.432365541928448, "metadata": {"question": "How many circular holes are clearly visible on the topmost, diagonally oriented metal bracket? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.4917}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 70, "image": "0f07f712-f1ce-4b90-963e-7849862d827d_input-input-1779919148318-fedk52cp8_png_jpg.rf.616ee6530fd2873ab0d91b0ddd7140cc.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1175, "output_tokens": 5, "elapsed_seconds": 2.156793500063941, "metadata": {"question": "How many square bricks with exactly four studs are visible on the white surface? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.19}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 71, "image": "bcd8aa70-e59a-4911-96e8-53c5b846dd6b_png_jpg.rf.fc6a6dff57ebb1f0a09fcd9fda6122f4.jpg", "expected": "10", "predicted": "10", "correct": true, "input_tokens": 1190, "output_tokens": 6, "elapsed_seconds": 4.1860084580257535, "metadata": {"question": "How many distinct size codes are listed in the 'SIZE' column on the far left of the table? Output the final count as a single integer (e.g., 5).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.2518}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 72, "image": "3c78fcf8-2bce-4157-ac2c-e52f999a378c_input-input-1768902949600-rch94svhd_png_jpg.rf.6b75c0351af58e8707a0b1d75af18aa8.jpg", "expected": "three", "predicted": "three", "correct": true, "input_tokens": 1147, "output_tokens": 5, "elapsed_seconds": 4.717656458960846, "metadata": {"question": "How many red digits are present on the main rolling counter display? Answer strictly with a spelled-out word (e.g., \"one\", \"two\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.8354}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 73, "image": "621387a6-d868-4912-90f1-7e8abd9df0c0_png_jpg.rf.daf83e0999a9864ca1e0ed08dade1191.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1172, "output_tokens": 5, "elapsed_seconds": 3.2371328331064433, "metadata": {"question": "How many small circular subdials are visible on the blue Tissot watch face? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.3354}} diff --git a/results/counting_gemini-4-argon-eap_low_20261012_223842.jsonl b/results/counting_gemini-4-argon-eap_low_20261012_223842.jsonl deleted file mode 100644 index 9f3ce99..0000000 --- a/results/counting_gemini-4-argon-eap_low_20261012_223842.jsonl +++ /dev/null @@ -1,74 +0,0 @@ -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 0, "image": "f0d4c0bf-3a21-41a5-b0c2-c33b94feadb4_input-input-1771859752511-bk56l0pe1_png_jpg.rf.4af05c5fc1bdd4926894682e94c4b7b1.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1139, "output_tokens": 5, "elapsed_seconds": 4.595669416943565, "metadata": {"question": "How many vertical metal locking bars run down the back of the container doors? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.7004}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 1, "image": "63b26fc7-8349-4fbc-a0ad-e9d46bf28979_input-input-1769103313709-j5jk2uqdi_png_jpg.rf.a410e069cd682ad340d9504a57fce39d.jpg", "expected": "8", "predicted": "9", "correct": false, "input_tokens": 1145, "output_tokens": 5, "elapsed_seconds": 3.884377166046761, "metadata": {"question": "How many of the orange blister pockets in the pack are open (already emptied, with no capsule remaining)? Output the final count as a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 3.9417}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 2, "image": "6c44004a-c031-4396-a931-9a863a8802d2_png_jpg.rf.78a91a481b9044d0bc75154221a7ac45.jpg", "expected": "six", "predicted": "six", "correct": true, "input_tokens": 1147, "output_tokens": 5, "elapsed_seconds": 3.161927209002897, "metadata": {"question": "How many circular icons are visible in the horizontal menu bar directly above the \"Expenses (UK-Bank)\" title? Answer strictly with a spelled-out word.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.2254}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 3, "image": "4f2b6aab-f1c1-4f16-b3ca-bbe4d399a897_input-input-1773381300920-0uaf4zno9_png_jpg.rf.0a20aa6813607730b27a12060a642dbb.jpg", "expected": "15", "predicted": "15", "correct": true, "input_tokens": 1185, "output_tokens": 6, "elapsed_seconds": 2.4015371670247987, "metadata": {"question": "How many small, square white bowls are arranged on the fully visible metal tray positioned in the top right area of the image? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.453}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 4, "image": "26584325-f95e-41e4-9f4b-99afc5ff078d_png_jpg.rf.9a3624b41cfb86cab6301d79694fbf6d.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1153, "output_tokens": 5, "elapsed_seconds": 3.2105637079803273, "metadata": {"question": "How many checkmarks are visible in the \"NEED\" column of the \"SERVICES:\" table on the left? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.2924}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 5, "image": "c56ead6c-0697-4216-a27e-fbd28c19aaed_input-input-1781393738001-e3qhlmchi_png_jpg.rf.9ab190943804e3d54fa1136c7886e772.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1186, "output_tokens": 5, "elapsed_seconds": 3.842076833010651, "metadata": {"question": "How many distinct horizontal tire sidewalls are stacked in the image? Output the final count as a single integer (e.g., 5).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.888}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 6, "image": "003df5d3-f7ea-4567-8055-8733d3b39a27_input-input-1780991138503-fltoik3ij_png_jpg.rf.cf4d02bc406dbf7decf23b5678d8956d.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1169, "output_tokens": 5, "elapsed_seconds": 3.4445324579719454, "metadata": {"question": "How many workers are visible in the warehouse? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.4977}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 7, "image": "4cf40711-7419-4961-8920-88715c8b601f_input-input-1777166096829-s1ov2lkxh_png_jpg.rf.990c23aecc8702b0cfa58e90a8441f46.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1180, "output_tokens": 5, "elapsed_seconds": 2.723064334015362, "metadata": {"question": "How many rectangular black plates with a 2x4 stud configuration are clearly visible in the image? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7788}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 8, "image": "4cf40711-7419-4961-8920-88715c8b601f_input-input-1777166096829-s1ov2lkxh_png_jpg.rf.990c23aecc8702b0cfa58e90a8441f46.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1178, "output_tokens": 5, "elapsed_seconds": 3.46976645803079, "metadata": {"question": "How many individual round white tiles printed with a black eye pattern are visible in the assortment? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.5265}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 9, "image": "4cf40711-7419-4961-8920-88715c8b601f_input-input-1777166096829-s1ov2lkxh_png_jpg.rf.990c23aecc8702b0cfa58e90a8441f46.jpg", "expected": "2", "predicted": "3", "correct": false, "input_tokens": 1175, "output_tokens": 5, "elapsed_seconds": 2.304779874975793, "metadata": {"question": "How many distinct, whole animal figures are visible among the scattered LEGO pieces? Output the final count as a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 2.359}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 10, "image": "33299f4b-1857-4400-a31d-677ecd2c277a_input-input-1771415890481-7pfiombu0_png_jpg.rf.5df1a4fcae6b4c6acd16051c660f783f.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1151, "output_tokens": 5, "elapsed_seconds": 3.8447612499585375, "metadata": {"question": "How many red directional arrows are painted on the large grey pipes in the foreground? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.9046}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 11, "image": "48fa18cc-eee4-4e13-9647-318c7155420c_png_jpg.rf.8a732d4c26a0198146370e4b98476551.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1143, "output_tokens": 5, "elapsed_seconds": 3.731749458005652, "metadata": {"question": "How many rows in the main table have a blue background? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.8037}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 12, "image": "c9b00dcb-e093-43d9-baf8-f1971ff328af_input-input-1769103177177-3x5hfzwbp_png_jpg.rf.5036bc0df858e9911be4fa08e6b80a40.jpg", "expected": "22", "predicted": "22", "correct": true, "input_tokens": 1145, "output_tokens": 6, "elapsed_seconds": 3.202935582958162, "metadata": {"question": "How many intact capsules remain in the blister pack across all rows? Output the final count as a single integer (e.g., 15).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.2579}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 13, "image": "056e17c9-9b46-496a-9cf8-c1b54bd73216_png_jpg.rf.1e94f330e43f2a21d12e145273ac3f94.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1163, "output_tokens": 5, "elapsed_seconds": 3.9558727080002427, "metadata": {"question": "How many files or folders are listed directly inside the \"app\" directory in the file explorer on the right side? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.9945}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 14, "image": "db35c41c-a9ed-41bc-96cf-60186d715477_input-input-1774653477270-a4j6j7v6e_png_jpg.rf.81a4c1ac6254af08518ea58b5137ed9c.jpg", "expected": "8", "predicted": "8", "correct": true, "input_tokens": 1184, "output_tokens": 5, "elapsed_seconds": 2.8369844590779394, "metadata": {"question": "How many workers are standing or kneeling directly on the rebar grid inside the excavated pit? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8855}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 15, "image": "db35c41c-a9ed-41bc-96cf-60186d715477_input-input-1774653477270-a4j6j7v6e_png_jpg.rf.81a4c1ac6254af08518ea58b5137ed9c.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1185, "output_tokens": 5, "elapsed_seconds": 3.0928838750114664, "metadata": {"question": "How many workers are standing together on the dirt level directly in front of the white crane? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1407}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 16, "image": "db35c41c-a9ed-41bc-96cf-60186d715477_input-input-1774653477270-a4j6j7v6e_png_jpg.rf.81a4c1ac6254af08518ea58b5137ed9c.jpg", "expected": "0", "predicted": "0", "correct": true, "input_tokens": 1180, "output_tokens": 5, "elapsed_seconds": 2.4817827499937266, "metadata": {"question": "How many workers are not wearing head protection (a hard hat)? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.5317}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 17, "image": "1b4e5426-d109-4398-8e45-ab1dc497980f_png_jpg.rf.77e9ea61b4fcfb4286af38f0a02211c8.jpg", "expected": "12", "predicted": "12", "correct": true, "input_tokens": 1182, "output_tokens": 6, "elapsed_seconds": 3.427505375002511, "metadata": {"question": "How many red circles are drawn around lowercase letters in the table? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.4637}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 18, "image": "21a6d806-d16e-4452-a2e3-7fa520bd671d_input-input-1769360430457-50a88jpis_png_jpg.rf.686e67d06dd1f487be5dc88fff5e7bc3.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1149, "output_tokens": 5, "elapsed_seconds": 3.463057249900885, "metadata": {"question": "How many individual screws are visibly resting inside the plastic bin labeled \"DIN 912 M8 x 30\"? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.5816}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 19, "image": "020c3db8-dcc2-40e0-bf26-c874edb1612b_png_jpg.rf.ac73a13cb831f0a2f94ea3824f41a47d.jpg", "expected": "11", "predicted": "11", "correct": true, "input_tokens": 1176, "output_tokens": 6, "elapsed_seconds": 2.4352285410277545, "metadata": {"question": "How many items are listed under the 'DRY GOODS' section header in the table? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.491}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 20, "image": "1ad1c779-b18f-4aaa-9cf0-6155cb19879b_input-input-1769444672197-ug2bdacps_png_jpg.rf.f23a8a19a08199a726f99d7a1549be63.jpg", "expected": "15", "predicted": "15", "correct": true, "input_tokens": 1167, "output_tokens": 6, "elapsed_seconds": 2.98262333299499, "metadata": {"question": "How many round pills are visible in the blister pack on the right side of the image? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9979}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 21, "image": "2e15743f-6bc8-4cce-8ec0-66eea3a6ca2f_input-input-1779607392296-qwxxnltdb_png_jpg.rf.608695980e866c196074445d3c3449ce.jpg", "expected": "0", "predicted": "0", "correct": true, "input_tokens": 1178, "output_tokens": 5, "elapsed_seconds": 2.3367516660364345, "metadata": {"question": "How many water bottles with blue caps are visible on the bottom shelf? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.3755}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 22, "image": "214d5a30-f38a-4509-bd53-1e3ea49f9c8b_png_jpg.rf.b1c6d3fc8fd27d8b69dffde40d80310c.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1149, "output_tokens": 5, "elapsed_seconds": 2.8463029579725116, "metadata": {"question": "How many blue pen marks/ticks are visible in the 'WITHDRAWALS' column? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9091}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 23, "image": "403906f1-d101-4a15-b0b3-43f90df6b13e_input-input-1780067976213-f8fki9qzj_png_jpg.rf.aa03e3dd2a567694bf8badd574e32ae3.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1174, "output_tokens": 5, "elapsed_seconds": 3.0277137090452015, "metadata": {"question": "How many white tables are located between the facing seats in the carriage? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1211}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 24, "image": "0f7a1b1b-b0f9-4dba-9659-0455701b7a3f_png_jpg.rf.ab769bd32b93fa65b7df75c6ec1ef3cd.jpg", "expected": "five", "predicted": "five", "correct": true, "input_tokens": 1152, "output_tokens": 5, "elapsed_seconds": 2.917673584073782, "metadata": {"question": "How many checkmarks are written in the column labeled \"4\" in the evaluation table? Answer strictly with a spelled-out word (e.g., \"one\", \"two\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9364}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 25, "image": "d489f405-013e-4e8b-968a-1d9db2060050_png_jpg.rf.be190d9e1ea972d827d8c52c3391f1fd.jpg", "expected": "9", "predicted": "9", "correct": true, "input_tokens": 1167, "output_tokens": 5, "elapsed_seconds": 2.1537911250488833, "metadata": {"question": "How many handwritten checkmarks are visible in the left margin next to the line numbers (LNO)? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.1721}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 26, "image": "1b411f19-76c2-4028-b3ab-832256b9fb5e_input-input-1779844698418-8rz7uj6gh_png_jpg.rf.4d2907a675bb4eca3f3ae3a40822117f.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1144, "output_tokens": 5, "elapsed_seconds": 9.753664209041744, "metadata": {"question": "How many brown cardboard boxes prominently labeled \"Real-Kill\" are visible on the top storage shelf? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.8705}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 27, "image": "1b411f19-76c2-4028-b3ab-832256b9fb5e_input-input-1779844698418-8rz7uj6gh_png_jpg.rf.4d2907a675bb4eca3f3ae3a40822117f.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1146, "output_tokens": 5, "elapsed_seconds": 3.979033958981745, "metadata": {"question": "How many green and white \"Bug B-gon\" jugs are visible on the fourth shelf from the top? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.0971}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 28, "image": "02eaa1d1-ffaf-46f3-b9ef-b7ab3551b738_input-input-1777971607736-x33g85l3u_png_jpg.rf.4056fc9b233d537c46ed68224f3f2e27.jpg", "expected": "15", "predicted": "9", "correct": false, "input_tokens": 1176, "output_tokens": 5, "elapsed_seconds": 2.8868433750467375, "metadata": {"question": "How many tiles are missing from the wall? Output the final count as a single integer (e.g., 3).", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 2.9408}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 29, "image": "25e6ed9c-2d37-4533-8021-977770aa97d1_input-input-1780691294811-oql9y0w9f_png_jpg.rf.36701f4301765d1397e29a5f8d8f9471.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1172, "output_tokens": 5, "elapsed_seconds": 2.5286208329489455, "metadata": {"question": "How many green gas cylinders are present in the truck bed? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.5836}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 30, "image": "76d985c4-8ba2-4660-871b-939bba136896_input-input-1774985116190-hco0gpvmt_png_jpg.rf.e2a22365c854e0212534e5a8675bb4c9.jpg", "expected": "7", "predicted": "7", "correct": true, "input_tokens": 1167, "output_tokens": 5, "elapsed_seconds": 3.2790300420019776, "metadata": {"question": "How many bullet holes are located entirely or partially within the large black circular area of the target? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.3747}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 31, "image": "76d985c4-8ba2-4660-871b-939bba136896_input-input-1774985116190-hco0gpvmt_png_jpg.rf.e2a22365c854e0212534e5a8675bb4c9.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1170, "output_tokens": 5, "elapsed_seconds": 4.006883915979415, "metadata": {"question": "How many bullet holes are visibly piercing the off-white outer area in the lower right quadrant of the image? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.1017}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 32, "image": "0e3ca6d7-7301-474e-bad2-3bc3a9aa7140_input-input-1780425165960-zu9asq91k_png_jpg.rf.7dd6f9559d3f83a1e451dd68ab07f639.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1181, "output_tokens": 5, "elapsed_seconds": 3.3184322499437258, "metadata": {"question": "How many large, circular white feeding trays are attached to the thicker pipe running diagonally on the right side? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.3728}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 33, "image": "d0b99ce8-8a3b-4d1d-98d4-b34137b19f08_input-input-1768805031339-rs4dctz0p_png_jpg.rf.bbdc304ba5f61cb85ea823bce3f757b9.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1174, "output_tokens": 5, "elapsed_seconds": 4.118330291006714, "metadata": {"question": "How many women are depicted on the stamp labeled \"WOMEN IN OUR ARMED SERVICES\" in the bottom row? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.2182}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 34, "image": "d0b99ce8-8a3b-4d1d-98d4-b34137b19f08_input-input-1768805031339-rs4dctz0p_png_jpg.rf.bbdc304ba5f61cb85ea823bce3f757b9.jpg", "expected": "28", "predicted": "28", "correct": true, "input_tokens": 1170, "output_tokens": 6, "elapsed_seconds": 3.405647167004645, "metadata": {"question": "How many stamps in the display show a 3\u00a2 (three-cent) denomination? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.5013}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 35, "image": "d0b99ce8-8a3b-4d1d-98d4-b34137b19f08_input-input-1768805031339-rs4dctz0p_png_jpg.rf.bbdc304ba5f61cb85ea823bce3f757b9.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1165, "output_tokens": 5, "elapsed_seconds": 4.250928083900362, "metadata": {"question": "How many predominantly purple or violet stamps are visible in the display? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.3477}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 36, "image": "3cc9dff1-0e00-4900-9013-00d7b1be6a09_input-input-1779942886819-2wwj3rkhy_png_jpg.rf.2b0fb18f9f03d4dead03ef88ead19450.jpg", "expected": "8", "predicted": "8", "correct": true, "input_tokens": 1183, "output_tokens": 5, "elapsed_seconds": 2.6485433329362422, "metadata": {"question": "How many runners are visible on the track? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.6659}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 37, "image": "76bbc10c-bed4-41d3-8622-035eeabc5596_input-input-1769119181178-immkwkrpv_png_jpg.rf.9e45cd4a9160b72762d9d1091e937e81.jpg", "expected": "22", "predicted": "18", "correct": false, "input_tokens": 1137, "output_tokens": 6, "elapsed_seconds": 4.862105500069447, "metadata": {"question": "How many lens-box slots in the display grid are empty? Output the final count as a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 4.9753}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 38, "image": "1e37f04c-e13e-4595-8119-71801b83924e_png_jpg.rf.88d495e552edc70aa4a9fd4db0b6f2a4.jpg", "expected": "8", "predicted": "7", "correct": false, "input_tokens": 1153, "output_tokens": 5, "elapsed_seconds": 5.254987749969587, "metadata": {"question": "How many grey boxes are provided for entering the \"Amount Enclosed\" in the payment stub at the bottom right? Output the final count as a single integer (e.g., 3).", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 5.379}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 39, "image": "f0db827b-688f-45e5-b6d0-991c49108a4e_input-input-1771013479121-jj5wfnran_png_jpg.rf.78c029e9c9141b5c35558d767cf94681.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1143, "output_tokens": 5, "elapsed_seconds": 2.803074459079653, "metadata": {"question": "How many abnormal or defective candies are visible in the image? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8699}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 40, "image": "c1300d50-94fc-4081-b871-8338cef58e16_input-input-1778695950497-jbtexy630_png_jpg.rf.21ec9923369fc4380c0cc3c8aba1d9c1.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1179, "output_tokens": 5, "elapsed_seconds": 2.908195500029251, "metadata": {"question": "How many players wearing blue jerseys are visible on the ice? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9488}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 41, "image": "0212eb3d-e4b1-4ef4-9204-e920654bf677_input-input-1778110710064-oqhw5zz8j_png_jpg.rf.2faf044c9ba90e69aaaae8eaceafe6d4.jpg", "expected": "seven", "predicted": "seven", "correct": true, "input_tokens": 1150, "output_tokens": 5, "elapsed_seconds": 4.47856249997858, "metadata": {"question": "How many green \"Price Cut\" promotional tags are visible across the entire display? Answer strictly with a spelled-out word (e.g., \"one\", \"two\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.6001}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 42, "image": "4409ba1c-5b55-47e4-8fb3-ed245021d0bb_input-input-1776892569933-6scj88bzo_png_jpg.rf.92cb44b13f714204abf3b13ac1190860.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1147, "output_tokens": 5, "elapsed_seconds": 2.9588308329693973, "metadata": {"question": "How many item refund lines with negative pound amounts are listed under 'Online Return'? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.0293}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 43, "image": "20c6f561-491b-44ca-a96a-8f6d926b8307_png_jpg.rf.1bae1396728629da79305bdaaffa6fbb.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1142, "output_tokens": 5, "elapsed_seconds": 2.898219000082463, "metadata": {"question": "How many bottles are crushed or dented? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9891}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 44, "image": "097f7d52-0fd1-4385-9ec4-65a9ee83d81b_input-input-1776852419339-bqf3nz0wx_png_jpg.rf.4a2de88188f1ad2a3d4b04855bc2f1c7.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1162, "output_tokens": 5, "elapsed_seconds": 3.8586367500247434, "metadata": {"question": "How many bright green cars are parked in the visible parking spaces? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.972}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 45, "image": "097f7d52-0fd1-4385-9ec4-65a9ee83d81b_input-input-1776852419339-bqf3nz0wx_png_jpg.rf.4a2de88188f1ad2a3d4b04855bc2f1c7.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1171, "output_tokens": 5, "elapsed_seconds": 3.414775083074346, "metadata": {"question": "How many empty parking spaces are located between the cyan car and the bright green car in their shared parking row? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.5171}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 46, "image": "5bab6379-3de6-4deb-9698-97dad64b505c_input-input-1769090638596-o1nehu2dd_png_jpg.rf.4104781e673773b15de3cf099cb4d3f2.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1194, "output_tokens": 5, "elapsed_seconds": 3.383301042020321, "metadata": {"question": "If each wheelchair accessibility symbol marks one accessible parking space, how many accessible spaces are indicated by the symbols next to the building? Output the final count as a single integer (e.g., 4).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.4503}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 47, "image": "f4155be5-83b2-4214-89e0-b21906a781bd_png_jpg.rf.3cc4abb5bae56fbe2c8c798fcfbe7077.jpg", "expected": "11", "predicted": "11", "correct": true, "input_tokens": 1161, "output_tokens": 6, "elapsed_seconds": 2.3471100410679355, "metadata": {"question": "How many times does the quantity \"1\" appear in the leftmost column of the itemized list? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.4076}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 48, "image": "dce06136-2d24-422b-a3b6-e100c9a4bad1_input-input-1780992231793-0zf74ymfd_png_jpg.rf.c2823e6e198b2039f5cd13aa75bebfbc.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1167, "output_tokens": 5, "elapsed_seconds": 3.841964541003108, "metadata": {"question": "How many cartoon characters are depicted in the orange section on the right side of the package? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.8932}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 49, "image": "19f45907-d682-40cf-bb87-9133dc873871_input-input-1778506438615-gyarfruw4_png_jpg.rf.f1250911547dbb93c6724fe40a099c66.jpg", "expected": "9", "predicted": "9", "correct": true, "input_tokens": 1192, "output_tokens": 5, "elapsed_seconds": 2.6253513750853017, "metadata": {"question": "How many digits make up the serial number (S/N) printed at the top center of the meter? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.6502}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 50, "image": "e060bfb7-df44-43fd-83e7-fd09ac632863_png_jpg.rf.62cf5b61db7a2b02ec021799866318b3.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1145, "output_tokens": 5, "elapsed_seconds": 2.941806333954446, "metadata": {"question": "How many vertical books with predominantly orange spines are visible on the shelf? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.0179}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 51, "image": "05d94928-3491-4ab4-92be-1784b5cbcb18_png_jpg.rf.c75a6c9ea5b6c16f44c39b7dc8f66216.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1188, "output_tokens": 5, "elapsed_seconds": 2.58286995801609, "metadata": {"question": "How many leaf nodes (nodes with no children) are there in the binary tree shown at the top? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.5998}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 52, "image": "1478f318-0372-4bbb-bf28-6cab8c447a59_input-input-1771868885484-ua18hynnb_png_jpg.rf.48494081054afe07b3a29e3cf54058fe.jpg", "expected": "8", "predicted": "8", "correct": true, "input_tokens": 1137, "output_tokens": 5, "elapsed_seconds": 4.460042958962731, "metadata": {"question": "How many Butterfinger candy bars are visible in column E4? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.5333}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 53, "image": "1478f318-0372-4bbb-bf28-6cab8c447a59_input-input-1771868885484-ua18hynnb_png_jpg.rf.48494081054afe07b3a29e3cf54058fe.jpg", "expected": "0", "predicted": "0", "correct": true, "input_tokens": 1146, "output_tokens": 5, "elapsed_seconds": 3.959469166933559, "metadata": {"question": "How many completely empty coil columns are visible between the yellow Butterfinger wrappers and the orange Reese's wrappers? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.0289}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 54, "image": "1478f318-0372-4bbb-bf28-6cab8c447a59_input-input-1771868885484-ua18hynnb_png_jpg.rf.48494081054afe07b3a29e3cf54058fe.jpg", "expected": "22", "predicted": "21", "correct": false, "input_tokens": 1145, "output_tokens": 6, "elapsed_seconds": 5.370020790956914, "metadata": {"question": "How many M&M's packages are visible in the machine? Output the final count as a single integer (e.g., 3).", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 5.4392}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 55, "image": "01c39aed-93d2-4359-917a-1d3f4dbc60a1_png_jpg.rf.c61a3470f20d4496fda1707eaa58d82d.jpg", "expected": "4", "predicted": "8", "correct": false, "input_tokens": 1149, "output_tokens": 5, "elapsed_seconds": 3.550428166985512, "metadata": {"question": "How many blue bolts labeled with the number 23 are shown in the exploded diagram? Output the final count as a single integer (e.g., 3).", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 3.5753}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 56, "image": "396282bc-0d15-4e53-8803-7e5b69c1bef0_input-input-1773381099913-tgin8sfew_png_jpg.rf.adc85e75f7f5793f05427ecdddc06a07.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1185, "output_tokens": 5, "elapsed_seconds": 4.066240374930203, "metadata": {"question": "How many rectangular metal trays holding dessert cups are visible on the right side of the table? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.113}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 57, "image": "396282bc-0d15-4e53-8803-7e5b69c1bef0_input-input-1773381099913-tgin8sfew_png_jpg.rf.adc85e75f7f5793f05427ecdddc06a07.jpg", "expected": "12", "predicted": "12", "correct": true, "input_tokens": 1188, "output_tokens": 6, "elapsed_seconds": 2.303155208006501, "metadata": {"question": "How many dessert cups are in the metal tray immediately to the right of the blue-striped paper sheets? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.3485}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 58, "image": "1b7f1694-d9e1-496c-aed6-ea6baec4088a_png_jpg.rf.ccb9d030f1b587dd97bba12f6b7ec184.jpg", "expected": "8", "predicted": "8", "correct": true, "input_tokens": 1171, "output_tokens": 5, "elapsed_seconds": 2.842154790996574, "metadata": {"question": "How many large airplanes are parked on the main concrete apron in the upper half of the image? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9799}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 59, "image": "be797fcf-056b-44b2-a1da-b667c3185959_input-input-1773768805936-h107qsgy2_png_jpg.rf.866a72ab13a76381b59fc1a3280496d2.jpg", "expected": "10", "predicted": "4", "correct": false, "input_tokens": 1159, "output_tokens": 5, "elapsed_seconds": 2.9509434590581805, "metadata": {"question": "How many devices can fit inside a single front-to-back column of the large tilted black tray in the foreground? Output the final count as a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 3.0047}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 60, "image": "be797fcf-056b-44b2-a1da-b667c3185959_input-input-1773768805936-h107qsgy2_png_jpg.rf.866a72ab13a76381b59fc1a3280496d2.jpg", "expected": "22", "predicted": "10", "correct": false, "input_tokens": 1152, "output_tokens": 6, "elapsed_seconds": 2.5923109160503373, "metadata": {"question": "How many empty slots in total are in the large tilted black tray in the foreground? Output the final count as a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 2.6472}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 61, "image": "122ef3fe-1e8b-4790-b9e1-721a9c9d4b86_input-input-1771297576554-0xpo2dsmn_png_jpg.rf.1efcee784f71e642e8048f85c6a89ecd.jpg", "expected": "8", "predicted": "9", "correct": false, "input_tokens": 1141, "output_tokens": 5, "elapsed_seconds": 3.754407583968714, "metadata": {"question": "How many orange packets are grouped together at the top of the stack inside the box? Output the final count as a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 3.8757}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 62, "image": "36e6af65-9cf0-4b16-b5b2-2dbf5d54ffae_input-input-1778190001786-w0937ikxt_png_jpg.rf.b036a53ece9920b07b8682ac35c9bbd2.jpg", "expected": "3", "predicted": "2", "correct": false, "input_tokens": 1178, "output_tokens": 5, "elapsed_seconds": 3.137923541944474, "metadata": {"question": "How many blue cables are plugged into the ports on the left side of the white panel? Output the final count as a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 3.1669}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 63, "image": "36e6af65-9cf0-4b16-b5b2-2dbf5d54ffae_input-input-1778190001786-w0937ikxt_png_jpg.rf.b036a53ece9920b07b8682ac35c9bbd2.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1174, "output_tokens": 5, "elapsed_seconds": 2.6104702920420095, "metadata": {"question": "How many yellow cables are plugged into the ports on the white panel? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.6425}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 64, "image": "f0c68933-64c5-49e6-8845-707afdc32a4e_input-input-1776058768062-tn8vkqrxk_png_jpg.rf.c66fb27d88e528755f22742fcdf00c02.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1165, "output_tokens": 5, "elapsed_seconds": 3.108386000036262, "metadata": {"question": "How many people are visible in the image? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1854}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 65, "image": "3afd1b0e-33ad-4f1a-9ddf-b204107eb230_input-input-1776059274665-zosrz5qle_png_jpg.rf.70231d8dad35e71bcd49d5cb93b2dfc9.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1162, "output_tokens": 5, "elapsed_seconds": 2.444737417041324, "metadata": {"question": "How many people are currently seated at the desks in the office? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.4797}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 66, "image": "43a0837b-dfa3-4160-8487-71e9daeb5b99_input-input-1775138372300-avlcj3a0a_png_jpg.rf.1902113cf3fe1dd691ba2bbab90fd88b.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1171, "output_tokens": 5, "elapsed_seconds": 3.3501197500154376, "metadata": {"question": "How many large dark symbols are visible in the vertical line of markings on the light gray panel? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.3584}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 67, "image": "26aea39a-beea-43d5-bbd5-c716b698ebaf_png_jpg.rf.b43c70658245fd13f38d8b30e5bdc44d.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1165, "output_tokens": 5, "elapsed_seconds": 2.3462377499090508, "metadata": {"question": "How many shrink-wrapped packs of coke bottles with blue caps are visible on the pallet? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.367}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 68, "image": "c23e413c-57e2-4e59-946e-b511526184a9_input-input-1769617613579-ed7ya5fh1_png_jpg.rf.da6ffdada344ce2ab64d1676e0515d25.jpg", "expected": "12", "predicted": "12", "correct": true, "input_tokens": 1179, "output_tokens": 6, "elapsed_seconds": 3.007119334070012, "metadata": {"question": "How many flat metal brackets are visible inside the blue bin? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.0668}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 69, "image": "c23e413c-57e2-4e59-946e-b511526184a9_input-input-1769617613579-ed7ya5fh1_png_jpg.rf.da6ffdada344ce2ab64d1676e0515d25.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1183, "output_tokens": 5, "elapsed_seconds": 2.834308874909766, "metadata": {"question": "How many circular holes are clearly visible on the topmost, diagonally oriented metal bracket? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8961}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 70, "image": "0f07f712-f1ce-4b90-963e-7849862d827d_input-input-1779919148318-fedk52cp8_png_jpg.rf.616ee6530fd2873ab0d91b0ddd7140cc.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1175, "output_tokens": 5, "elapsed_seconds": 3.1355164169799536, "metadata": {"question": "How many square bricks with exactly four studs are visible on the white surface? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1713}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 71, "image": "bcd8aa70-e59a-4911-96e8-53c5b846dd6b_png_jpg.rf.fc6a6dff57ebb1f0a09fcd9fda6122f4.jpg", "expected": "10", "predicted": "10", "correct": true, "input_tokens": 1190, "output_tokens": 6, "elapsed_seconds": 3.3011118749855086, "metadata": {"question": "How many distinct size codes are listed in the 'SIZE' column on the far left of the table? Output the final count as a single integer (e.g., 5).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.3652}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 72, "image": "3c78fcf8-2bce-4157-ac2c-e52f999a378c_input-input-1768902949600-rch94svhd_png_jpg.rf.6b75c0351af58e8707a0b1d75af18aa8.jpg", "expected": "three", "predicted": "three", "correct": true, "input_tokens": 1147, "output_tokens": 5, "elapsed_seconds": 5.107977624982595, "metadata": {"question": "How many red digits are present on the main rolling counter display? Answer strictly with a spelled-out word (e.g., \"one\", \"two\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.2252}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 73, "image": "621387a6-d868-4912-90f1-7e8abd9df0c0_png_jpg.rf.daf83e0999a9864ca1e0ed08dade1191.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1172, "output_tokens": 5, "elapsed_seconds": 3.718709041015245, "metadata": {"question": "How many small circular subdials are visible on the blue Tissot watch face? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.8143}} diff --git a/results/counting_gemini-4-argon_high_20261012_230821.jsonl b/results/counting_gemini-4-argon_high_20261012_230821.jsonl new file mode 100644 index 0000000..f779e8a --- /dev/null +++ b/results/counting_gemini-4-argon_high_20261012_230821.jsonl @@ -0,0 +1,74 @@ +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 0, "image": "f0d4c0bf-3a21-41a5-b0c2-c33b94feadb4_input-input-1771859752511-bk56l0pe1_png_jpg.rf.4af05c5fc1bdd4926894682e94c4b7b1.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1139, "output_tokens": 166, "elapsed_seconds": 5.032225499977358, "metadata": {"question": "How many vertical metal locking bars run down the back of the container doors? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.1348}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 1, "image": "63b26fc7-8349-4fbc-a0ad-e9d46bf28979_input-input-1769103313709-j5jk2uqdi_png_jpg.rf.a410e069cd682ad340d9504a57fce39d.jpg", "expected": "8", "predicted": "9", "correct": false, "input_tokens": 1145, "output_tokens": 1281, "elapsed_seconds": 13.603470791946165, "metadata": {"question": "How many of the orange blister pockets in the pack are open (already emptied, with no capsule remaining)? Output the final count as a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 13.6598}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 2, "image": "6c44004a-c031-4396-a931-9a863a8802d2_png_jpg.rf.78a91a481b9044d0bc75154221a7ac45.jpg", "expected": "six", "predicted": "six", "correct": true, "input_tokens": 1147, "output_tokens": 250, "elapsed_seconds": 5.075921457959339, "metadata": {"question": "How many circular icons are visible in the horizontal menu bar directly above the \"Expenses (UK-Bank)\" title? Answer strictly with a spelled-out word.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.1354}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 3, "image": "4f2b6aab-f1c1-4f16-b3ca-bbe4d399a897_input-input-1773381300920-0uaf4zno9_png_jpg.rf.0a20aa6813607730b27a12060a642dbb.jpg", "expected": "15", "predicted": "15", "correct": true, "input_tokens": 1185, "output_tokens": 203, "elapsed_seconds": 4.023463207995519, "metadata": {"question": "How many small, square white bowls are arranged on the fully visible metal tray positioned in the top right area of the image? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.073}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 4, "image": "26584325-f95e-41e4-9f4b-99afc5ff078d_png_jpg.rf.9a3624b41cfb86cab6301d79694fbf6d.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1153, "output_tokens": 525, "elapsed_seconds": 7.297271291026846, "metadata": {"question": "How many checkmarks are visible in the \"NEED\" column of the \"SERVICES:\" table on the left? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.3777}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 5, "image": "c56ead6c-0697-4216-a27e-fbd28c19aaed_input-input-1781393738001-e3qhlmchi_png_jpg.rf.9ab190943804e3d54fa1136c7886e772.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1186, "output_tokens": 176, "elapsed_seconds": 3.5954923749668524, "metadata": {"question": "How many distinct horizontal tire sidewalls are stacked in the image? Output the final count as a single integer (e.g., 5).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.6402}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 6, "image": "003df5d3-f7ea-4567-8055-8733d3b39a27_input-input-1780991138503-fltoik3ij_png_jpg.rf.cf4d02bc406dbf7decf23b5678d8956d.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1169, "output_tokens": 415, "elapsed_seconds": 7.552264500060119, "metadata": {"question": "How many workers are visible in the warehouse? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.6055}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 7, "image": "4cf40711-7419-4961-8920-88715c8b601f_input-input-1777166096829-s1ov2lkxh_png_jpg.rf.990c23aecc8702b0cfa58e90a8441f46.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1180, "output_tokens": 437, "elapsed_seconds": 6.7433062919881195, "metadata": {"question": "How many rectangular black plates with a 2x4 stud configuration are clearly visible in the image? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.7967}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 8, "image": "4cf40711-7419-4961-8920-88715c8b601f_input-input-1777166096829-s1ov2lkxh_png_jpg.rf.990c23aecc8702b0cfa58e90a8441f46.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1178, "output_tokens": 637, "elapsed_seconds": 8.909787415992469, "metadata": {"question": "How many individual round white tiles printed with a black eye pattern are visible in the assortment? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.9642}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 9, "image": "4cf40711-7419-4961-8920-88715c8b601f_input-input-1777166096829-s1ov2lkxh_png_jpg.rf.990c23aecc8702b0cfa58e90a8441f46.jpg", "expected": "2", "predicted": "3", "correct": false, "input_tokens": 1175, "output_tokens": 676, "elapsed_seconds": 9.829349667066708, "metadata": {"question": "How many distinct, whole animal figures are visible among the scattered LEGO pieces? Output the final count as a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 9.8875}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 10, "image": "33299f4b-1857-4400-a31d-677ecd2c277a_input-input-1771415890481-7pfiombu0_png_jpg.rf.5df1a4fcae6b4c6acd16051c660f783f.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1151, "output_tokens": 525, "elapsed_seconds": 8.963324625045061, "metadata": {"question": "How many red directional arrows are painted on the large grey pipes in the foreground? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.0213}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 11, "image": "48fa18cc-eee4-4e13-9647-318c7155420c_png_jpg.rf.8a732d4c26a0198146370e4b98476551.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1143, "output_tokens": 1992, "elapsed_seconds": 21.509401749935932, "metadata": {"question": "How many rows in the main table have a blue background? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 21.5858}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 12, "image": "c9b00dcb-e093-43d9-baf8-f1971ff328af_input-input-1769103177177-3x5hfzwbp_png_jpg.rf.5036bc0df858e9911be4fa08e6b80a40.jpg", "expected": "22", "predicted": "22", "correct": true, "input_tokens": 1145, "output_tokens": 827, "elapsed_seconds": 8.845777958980761, "metadata": {"question": "How many intact capsules remain in the blister pack across all rows? Output the final count as a single integer (e.g., 15).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.9003}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 13, "image": "056e17c9-9b46-496a-9cf8-c1b54bd73216_png_jpg.rf.1e94f330e43f2a21d12e145273ac3f94.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1163, "output_tokens": 536, "elapsed_seconds": 6.868334332946688, "metadata": {"question": "How many files or folders are listed directly inside the \"app\" directory in the file explorer on the right side? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.907}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 14, "image": "db35c41c-a9ed-41bc-96cf-60186d715477_input-input-1774653477270-a4j6j7v6e_png_jpg.rf.81a4c1ac6254af08518ea58b5137ed9c.jpg", "expected": "8", "predicted": "8", "correct": true, "input_tokens": 1184, "output_tokens": 2030, "elapsed_seconds": 28.03571266599465, "metadata": {"question": "How many workers are standing or kneeling directly on the rebar grid inside the excavated pit? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 28.0883}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 15, "image": "db35c41c-a9ed-41bc-96cf-60186d715477_input-input-1774653477270-a4j6j7v6e_png_jpg.rf.81a4c1ac6254af08518ea58b5137ed9c.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1185, "output_tokens": 311, "elapsed_seconds": 9.156048207893036, "metadata": {"question": "How many workers are standing together on the dirt level directly in front of the white crane? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.2069}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 16, "image": "db35c41c-a9ed-41bc-96cf-60186d715477_input-input-1774653477270-a4j6j7v6e_png_jpg.rf.81a4c1ac6254af08518ea58b5137ed9c.jpg", "expected": "0", "predicted": "0", "correct": true, "input_tokens": 1180, "output_tokens": 1402, "elapsed_seconds": 19.93704862508457, "metadata": {"question": "How many workers are not wearing head protection (a hard hat)? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 19.9862}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 17, "image": "1b4e5426-d109-4398-8e45-ab1dc497980f_png_jpg.rf.77e9ea61b4fcfb4286af38f0a02211c8.jpg", "expected": "12", "predicted": "12", "correct": true, "input_tokens": 1182, "output_tokens": 476, "elapsed_seconds": 5.849083665991202, "metadata": {"question": "How many red circles are drawn around lowercase letters in the table? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.8862}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 18, "image": "21a6d806-d16e-4452-a2e3-7fa520bd671d_input-input-1769360430457-50a88jpis_png_jpg.rf.686e67d06dd1f487be5dc88fff5e7bc3.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1149, "output_tokens": 631, "elapsed_seconds": 10.219117625034414, "metadata": {"question": "How many individual screws are visibly resting inside the plastic bin labeled \"DIN 912 M8 x 30\"? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.3385}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 19, "image": "020c3db8-dcc2-40e0-bf26-c874edb1612b_png_jpg.rf.ac73a13cb831f0a2f94ea3824f41a47d.jpg", "expected": "11", "predicted": "11", "correct": true, "input_tokens": 1176, "output_tokens": 746, "elapsed_seconds": 9.093371500028297, "metadata": {"question": "How many items are listed under the 'DRY GOODS' section header in the table? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.1462}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 20, "image": "1ad1c779-b18f-4aaa-9cf0-6155cb19879b_input-input-1769444672197-ug2bdacps_png_jpg.rf.f23a8a19a08199a726f99d7a1549be63.jpg", "expected": "15", "predicted": "15", "correct": true, "input_tokens": 1167, "output_tokens": 262, "elapsed_seconds": 4.158651417004876, "metadata": {"question": "How many round pills are visible in the blister pack on the right side of the image? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.1735}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 21, "image": "2e15743f-6bc8-4cce-8ec0-66eea3a6ca2f_input-input-1779607392296-qwxxnltdb_png_jpg.rf.608695980e866c196074445d3c3449ce.jpg", "expected": "0", "predicted": "0", "correct": true, "input_tokens": 1178, "output_tokens": 490, "elapsed_seconds": 8.289141083019786, "metadata": {"question": "How many water bottles with blue caps are visible on the bottom shelf? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.3256}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 22, "image": "214d5a30-f38a-4509-bd53-1e3ea49f9c8b_png_jpg.rf.b1c6d3fc8fd27d8b69dffde40d80310c.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1149, "output_tokens": 577, "elapsed_seconds": 6.94071158405859, "metadata": {"question": "How many blue pen marks/ticks are visible in the 'WITHDRAWALS' column? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.0042}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 23, "image": "403906f1-d101-4a15-b0b3-43f90df6b13e_input-input-1780067976213-f8fki9qzj_png_jpg.rf.aa03e3dd2a567694bf8badd574e32ae3.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1174, "output_tokens": 338, "elapsed_seconds": 6.834600166068412, "metadata": {"question": "How many white tables are located between the facing seats in the carriage? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.9303}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 24, "image": "0f7a1b1b-b0f9-4dba-9659-0455701b7a3f_png_jpg.rf.ab769bd32b93fa65b7df75c6ec1ef3cd.jpg", "expected": "five", "predicted": "five", "correct": true, "input_tokens": 1152, "output_tokens": 619, "elapsed_seconds": 7.052901625051163, "metadata": {"question": "How many checkmarks are written in the column labeled \"4\" in the evaluation table? Answer strictly with a spelled-out word (e.g., \"one\", \"two\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.067}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 25, "image": "d489f405-013e-4e8b-968a-1d9db2060050_png_jpg.rf.be190d9e1ea972d827d8c52c3391f1fd.jpg", "expected": "9", "predicted": "9", "correct": true, "input_tokens": 1167, "output_tokens": 210, "elapsed_seconds": 3.864865291980095, "metadata": {"question": "How many handwritten checkmarks are visible in the left margin next to the line numbers (LNO)? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.8799}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 26, "image": "1b411f19-76c2-4028-b3ab-832256b9fb5e_input-input-1779844698418-8rz7uj6gh_png_jpg.rf.4d2907a675bb4eca3f3ae3a40822117f.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1144, "output_tokens": 308, "elapsed_seconds": 11.82706441602204, "metadata": {"question": "How many brown cardboard boxes prominently labeled \"Real-Kill\" are visible on the top storage shelf? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.9422}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 27, "image": "1b411f19-76c2-4028-b3ab-832256b9fb5e_input-input-1779844698418-8rz7uj6gh_png_jpg.rf.4d2907a675bb4eca3f3ae3a40822117f.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1146, "output_tokens": 910, "elapsed_seconds": 19.173872792045586, "metadata": {"question": "How many green and white \"Bug B-gon\" jugs are visible on the fourth shelf from the top? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 19.2903}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 28, "image": "02eaa1d1-ffaf-46f3-b9ef-b7ab3551b738_input-input-1777971607736-x33g85l3u_png_jpg.rf.4056fc9b233d537c46ed68224f3f2e27.jpg", "expected": "15", "predicted": "11", "correct": false, "input_tokens": 1176, "output_tokens": 1431, "elapsed_seconds": 18.749870542087592, "metadata": {"question": "How many tiles are missing from the wall? Output the final count as a single integer (e.g., 3).", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 18.804}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 29, "image": "25e6ed9c-2d37-4533-8021-977770aa97d1_input-input-1780691294811-oql9y0w9f_png_jpg.rf.36701f4301765d1397e29a5f8d8f9471.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1172, "output_tokens": 303, "elapsed_seconds": 4.756788208032958, "metadata": {"question": "How many green gas cylinders are present in the truck bed? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.8095}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 30, "image": "76d985c4-8ba2-4660-871b-939bba136896_input-input-1774985116190-hco0gpvmt_png_jpg.rf.e2a22365c854e0212534e5a8675bb4c9.jpg", "expected": "7", "predicted": "7", "correct": true, "input_tokens": 1167, "output_tokens": 1131, "elapsed_seconds": 14.894805041025393, "metadata": {"question": "How many bullet holes are located entirely or partially within the large black circular area of the target? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 14.9893}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 31, "image": "76d985c4-8ba2-4660-871b-939bba136896_input-input-1774985116190-hco0gpvmt_png_jpg.rf.e2a22365c854e0212534e5a8675bb4c9.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1170, "output_tokens": 693, "elapsed_seconds": 10.08724429202266, "metadata": {"question": "How many bullet holes are visibly piercing the off-white outer area in the lower right quadrant of the image? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.1814}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 32, "image": "0e3ca6d7-7301-474e-bad2-3bc3a9aa7140_input-input-1780425165960-zu9asq91k_png_jpg.rf.7dd6f9559d3f83a1e451dd68ab07f639.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1181, "output_tokens": 430, "elapsed_seconds": 6.31717854202725, "metadata": {"question": "How many large, circular white feeding trays are attached to the thicker pipe running diagonally on the right side? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.3746}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 33, "image": "d0b99ce8-8a3b-4d1d-98d4-b34137b19f08_input-input-1768805031339-rs4dctz0p_png_jpg.rf.bbdc304ba5f61cb85ea823bce3f757b9.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1174, "output_tokens": 306, "elapsed_seconds": 8.048246416961774, "metadata": {"question": "How many women are depicted on the stamp labeled \"WOMEN IN OUR ARMED SERVICES\" in the bottom row? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.1452}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 34, "image": "d0b99ce8-8a3b-4d1d-98d4-b34137b19f08_input-input-1768805031339-rs4dctz0p_png_jpg.rf.bbdc304ba5f61cb85ea823bce3f757b9.jpg", "expected": "28", "predicted": "28", "correct": true, "input_tokens": 1170, "output_tokens": 966, "elapsed_seconds": 11.023597458028235, "metadata": {"question": "How many stamps in the display show a 3\u00a2 (three-cent) denomination? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.1197}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 35, "image": "d0b99ce8-8a3b-4d1d-98d4-b34137b19f08_input-input-1768805031339-rs4dctz0p_png_jpg.rf.bbdc304ba5f61cb85ea823bce3f757b9.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1165, "output_tokens": 1126, "elapsed_seconds": 13.955292667029426, "metadata": {"question": "How many predominantly purple or violet stamps are visible in the display? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 14.0519}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 36, "image": "3cc9dff1-0e00-4900-9013-00d7b1be6a09_input-input-1779942886819-2wwj3rkhy_png_jpg.rf.2b0fb18f9f03d4dead03ef88ead19450.jpg", "expected": "8", "predicted": "8", "correct": true, "input_tokens": 1183, "output_tokens": 398, "elapsed_seconds": 7.555644916952588, "metadata": {"question": "How many runners are visible on the track? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.5732}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 37, "image": "76bbc10c-bed4-41d3-8622-035eeabc5596_input-input-1769119181178-immkwkrpv_png_jpg.rf.9e45cd4a9160b72762d9d1091e937e81.jpg", "expected": "22", "predicted": "22", "correct": true, "input_tokens": 1137, "output_tokens": 3036, "elapsed_seconds": 23.713369917008094, "metadata": {"question": "How many lens-box slots in the display grid are empty? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 23.8243}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 38, "image": "1e37f04c-e13e-4595-8119-71801b83924e_png_jpg.rf.88d495e552edc70aa4a9fd4db0b6f2a4.jpg", "expected": "8", "predicted": "7", "correct": false, "input_tokens": 1153, "output_tokens": 495, "elapsed_seconds": 10.57102204207331, "metadata": {"question": "How many grey boxes are provided for entering the \"Amount Enclosed\" in the payment stub at the bottom right? Output the final count as a single integer (e.g., 3).", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 10.6897}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 39, "image": "f0db827b-688f-45e5-b6d0-991c49108a4e_input-input-1771013479121-jj5wfnran_png_jpg.rf.78c029e9c9141b5c35558d767cf94681.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1143, "output_tokens": 780, "elapsed_seconds": 11.760686167050153, "metadata": {"question": "How many abnormal or defective candies are visible in the image? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.825}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 40, "image": "c1300d50-94fc-4081-b871-8338cef58e16_input-input-1778695950497-jbtexy630_png_jpg.rf.21ec9923369fc4380c0cc3c8aba1d9c1.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1179, "output_tokens": 648, "elapsed_seconds": 10.275000541936606, "metadata": {"question": "How many players wearing blue jerseys are visible on the ice? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.3142}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 41, "image": "0212eb3d-e4b1-4ef4-9204-e920654bf677_input-input-1778110710064-oqhw5zz8j_png_jpg.rf.2faf044c9ba90e69aaaae8eaceafe6d4.jpg", "expected": "seven", "predicted": "seven", "correct": true, "input_tokens": 1150, "output_tokens": 687, "elapsed_seconds": 9.013059290940873, "metadata": {"question": "How many green \"Price Cut\" promotional tags are visible across the entire display? Answer strictly with a spelled-out word (e.g., \"one\", \"two\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.1312}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 42, "image": "4409ba1c-5b55-47e4-8fb3-ed245021d0bb_input-input-1776892569933-6scj88bzo_png_jpg.rf.92cb44b13f714204abf3b13ac1190860.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1147, "output_tokens": 262, "elapsed_seconds": 4.333569583017379, "metadata": {"question": "How many item refund lines with negative pound amounts are listed under 'Online Return'? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.4035}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 43, "image": "20c6f561-491b-44ca-a96a-8f6d926b8307_png_jpg.rf.1bae1396728629da79305bdaaffa6fbb.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1142, "output_tokens": 582, "elapsed_seconds": 7.333719165995717, "metadata": {"question": "How many bottles are crushed or dented? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.3709}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 44, "image": "097f7d52-0fd1-4385-9ec4-65a9ee83d81b_input-input-1776852419339-bqf3nz0wx_png_jpg.rf.4a2de88188f1ad2a3d4b04855bc2f1c7.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1162, "output_tokens": 403, "elapsed_seconds": 7.411034167045727, "metadata": {"question": "How many bright green cars are parked in the visible parking spaces? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.5141}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 45, "image": "097f7d52-0fd1-4385-9ec4-65a9ee83d81b_input-input-1776852419339-bqf3nz0wx_png_jpg.rf.4a2de88188f1ad2a3d4b04855bc2f1c7.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1171, "output_tokens": 1309, "elapsed_seconds": 14.199153458001092, "metadata": {"question": "How many empty parking spaces are located between the cyan car and the bright green car in their shared parking row? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 14.3013}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 46, "image": "5bab6379-3de6-4deb-9698-97dad64b505c_input-input-1769090638596-o1nehu2dd_png_jpg.rf.4104781e673773b15de3cf099cb4d3f2.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1194, "output_tokens": 598, "elapsed_seconds": 10.404969834024087, "metadata": {"question": "If each wheelchair accessibility symbol marks one accessible parking space, how many accessible spaces are indicated by the symbols next to the building? Output the final count as a single integer (e.g., 4).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.4719}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 47, "image": "f4155be5-83b2-4214-89e0-b21906a781bd_png_jpg.rf.3cc4abb5bae56fbe2c8c798fcfbe7077.jpg", "expected": "11", "predicted": "11", "correct": true, "input_tokens": 1161, "output_tokens": 558, "elapsed_seconds": 7.151207583025098, "metadata": {"question": "How many times does the quantity \"1\" appear in the leftmost column of the itemized list? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.2136}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 48, "image": "dce06136-2d24-422b-a3b6-e100c9a4bad1_input-input-1780992231793-0zf74ymfd_png_jpg.rf.c2823e6e198b2039f5cd13aa75bebfbc.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1167, "output_tokens": 237, "elapsed_seconds": 15.75652166607324, "metadata": {"question": "How many cartoon characters are depicted in the orange section on the right side of the package? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 15.8056}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 49, "image": "19f45907-d682-40cf-bb87-9133dc873871_input-input-1778506438615-gyarfruw4_png_jpg.rf.f1250911547dbb93c6724fe40a099c66.jpg", "expected": "9", "predicted": "9", "correct": true, "input_tokens": 1192, "output_tokens": 419, "elapsed_seconds": 6.694988208007999, "metadata": {"question": "How many digits make up the serial number (S/N) printed at the top center of the meter? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.7179}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 50, "image": "e060bfb7-df44-43fd-83e7-fd09ac632863_png_jpg.rf.62cf5b61db7a2b02ec021799866318b3.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1145, "output_tokens": 736, "elapsed_seconds": 8.490695417043753, "metadata": {"question": "How many vertical books with predominantly orange spines are visible on the shelf? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.5627}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 51, "image": "05d94928-3491-4ab4-92be-1784b5cbcb18_png_jpg.rf.c75a6c9ea5b6c16f44c39b7dc8f66216.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1188, "output_tokens": 621, "elapsed_seconds": 7.079596708994359, "metadata": {"question": "How many leaf nodes (nodes with no children) are there in the binary tree shown at the top? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.0955}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 52, "image": "1478f318-0372-4bbb-bf28-6cab8c447a59_input-input-1771868885484-ua18hynnb_png_jpg.rf.48494081054afe07b3a29e3cf54058fe.jpg", "expected": "8", "predicted": "8", "correct": true, "input_tokens": 1137, "output_tokens": 288, "elapsed_seconds": 6.343544875038788, "metadata": {"question": "How many Butterfinger candy bars are visible in column E4? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.4172}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 53, "image": "1478f318-0372-4bbb-bf28-6cab8c447a59_input-input-1771868885484-ua18hynnb_png_jpg.rf.48494081054afe07b3a29e3cf54058fe.jpg", "expected": "0", "predicted": "0", "correct": true, "input_tokens": 1146, "output_tokens": 534, "elapsed_seconds": 8.555785625008866, "metadata": {"question": "How many completely empty coil columns are visible between the yellow Butterfinger wrappers and the orange Reese's wrappers? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.6304}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 54, "image": "1478f318-0372-4bbb-bf28-6cab8c447a59_input-input-1771868885484-ua18hynnb_png_jpg.rf.48494081054afe07b3a29e3cf54058fe.jpg", "expected": "22", "predicted": "24", "correct": false, "input_tokens": 1145, "output_tokens": 1054, "elapsed_seconds": 11.777137959026732, "metadata": {"question": "How many M&M's packages are visible in the machine? Output the final count as a single integer (e.g., 3).", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 11.8495}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 55, "image": "01c39aed-93d2-4359-917a-1d3f4dbc60a1_png_jpg.rf.c61a3470f20d4496fda1707eaa58d82d.jpg", "expected": "4", "predicted": "6", "correct": false, "input_tokens": 1149, "output_tokens": 2265, "elapsed_seconds": 27.837807333096862, "metadata": {"question": "How many blue bolts labeled with the number 23 are shown in the exploded diagram? Output the final count as a single integer (e.g., 3).", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 27.8625}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 56, "image": "396282bc-0d15-4e53-8803-7e5b69c1bef0_input-input-1773381099913-tgin8sfew_png_jpg.rf.adc85e75f7f5793f05427ecdddc06a07.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1185, "output_tokens": 250, "elapsed_seconds": 4.4876820830395445, "metadata": {"question": "How many rectangular metal trays holding dessert cups are visible on the right side of the table? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.5332}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 57, "image": "396282bc-0d15-4e53-8803-7e5b69c1bef0_input-input-1773381099913-tgin8sfew_png_jpg.rf.adc85e75f7f5793f05427ecdddc06a07.jpg", "expected": "12", "predicted": "12", "correct": true, "input_tokens": 1188, "output_tokens": 309, "elapsed_seconds": 6.615470458986238, "metadata": {"question": "How many dessert cups are in the metal tray immediately to the right of the blue-striped paper sheets? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.6664}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 58, "image": "1b7f1694-d9e1-496c-aed6-ea6baec4088a_png_jpg.rf.ccb9d030f1b587dd97bba12f6b7ec184.jpg", "expected": "8", "predicted": "8", "correct": true, "input_tokens": 1171, "output_tokens": 147, "elapsed_seconds": 8.312611041008495, "metadata": {"question": "How many large airplanes are parked on the main concrete apron in the upper half of the image? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.3777}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 59, "image": "be797fcf-056b-44b2-a1da-b667c3185959_input-input-1773768805936-h107qsgy2_png_jpg.rf.866a72ab13a76381b59fc1a3280496d2.jpg", "expected": "10", "predicted": "5", "correct": false, "input_tokens": 1159, "output_tokens": 1236, "elapsed_seconds": 16.394137457944453, "metadata": {"question": "How many devices can fit inside a single front-to-back column of the large tilted black tray in the foreground? Output the final count as a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 2, "retries": 1, "total_seconds": 79.8299, "transient_errors": ["RemoteProtocolError"]}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 60, "image": "be797fcf-056b-44b2-a1da-b667c3185959_input-input-1773768805936-h107qsgy2_png_jpg.rf.866a72ab13a76381b59fc1a3280496d2.jpg", "expected": "22", "predicted": "19", "correct": false, "input_tokens": 1152, "output_tokens": 2134, "elapsed_seconds": 25.304140666965395, "metadata": {"question": "How many empty slots in total are in the large tilted black tray in the foreground? Output the final count as a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 25.3585}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 61, "image": "122ef3fe-1e8b-4790-b9e1-721a9c9d4b86_input-input-1771297576554-0xpo2dsmn_png_jpg.rf.1efcee784f71e642e8048f85c6a89ecd.jpg", "expected": "8", "predicted": "8", "correct": true, "input_tokens": 1141, "output_tokens": 1079, "elapsed_seconds": 16.78135825006757, "metadata": {"question": "How many orange packets are grouped together at the top of the stack inside the box? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 16.9085}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 62, "image": "36e6af65-9cf0-4b16-b5b2-2dbf5d54ffae_input-input-1778190001786-w0937ikxt_png_jpg.rf.b036a53ece9920b07b8682ac35c9bbd2.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1178, "output_tokens": 1326, "elapsed_seconds": 19.604689875035547, "metadata": {"question": "How many blue cables are plugged into the ports on the left side of the white panel? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 19.6348}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 63, "image": "36e6af65-9cf0-4b16-b5b2-2dbf5d54ffae_input-input-1778190001786-w0937ikxt_png_jpg.rf.b036a53ece9920b07b8682ac35c9bbd2.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1174, "output_tokens": 284, "elapsed_seconds": 4.675419458071701, "metadata": {"question": "How many yellow cables are plugged into the ports on the white panel? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.7042}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 64, "image": "f0c68933-64c5-49e6-8845-707afdc32a4e_input-input-1776058768062-tn8vkqrxk_png_jpg.rf.c66fb27d88e528755f22742fcdf00c02.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1165, "output_tokens": 430, "elapsed_seconds": 7.683594916015863, "metadata": {"question": "How many people are visible in the image? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.7637}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 65, "image": "3afd1b0e-33ad-4f1a-9ddf-b204107eb230_input-input-1776059274665-zosrz5qle_png_jpg.rf.70231d8dad35e71bcd49d5cb93b2dfc9.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1162, "output_tokens": 415, "elapsed_seconds": 7.161976500065066, "metadata": {"question": "How many people are currently seated at the desks in the office? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.1967}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 66, "image": "43a0837b-dfa3-4160-8487-71e9daeb5b99_input-input-1775138372300-avlcj3a0a_png_jpg.rf.1902113cf3fe1dd691ba2bbab90fd88b.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1171, "output_tokens": 391, "elapsed_seconds": 5.6518120830878615, "metadata": {"question": "How many large dark symbols are visible in the vertical line of markings on the light gray panel? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.6587}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 67, "image": "26aea39a-beea-43d5-bbd5-c716b698ebaf_png_jpg.rf.b43c70658245fd13f38d8b30e5bdc44d.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1165, "output_tokens": 362, "elapsed_seconds": 5.279940958018415, "metadata": {"question": "How many shrink-wrapped packs of coke bottles with blue caps are visible on the pallet? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.3028}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 68, "image": "c23e413c-57e2-4e59-946e-b511526184a9_input-input-1769617613579-ed7ya5fh1_png_jpg.rf.da6ffdada344ce2ab64d1676e0515d25.jpg", "expected": "12", "predicted": "12", "correct": true, "input_tokens": 1179, "output_tokens": 1206, "elapsed_seconds": 14.53818508295808, "metadata": {"question": "How many flat metal brackets are visible inside the blue bin? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 14.6047}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 69, "image": "c23e413c-57e2-4e59-946e-b511526184a9_input-input-1769617613579-ed7ya5fh1_png_jpg.rf.da6ffdada344ce2ab64d1676e0515d25.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1183, "output_tokens": 680, "elapsed_seconds": 10.176709749968722, "metadata": {"question": "How many circular holes are clearly visible on the topmost, diagonally oriented metal bracket? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.243}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 70, "image": "0f07f712-f1ce-4b90-963e-7849862d827d_input-input-1779919148318-fedk52cp8_png_jpg.rf.616ee6530fd2873ab0d91b0ddd7140cc.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1175, "output_tokens": 207, "elapsed_seconds": 12.13907866703812, "metadata": {"question": "How many square bricks with exactly four studs are visible on the white surface? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 12.1728}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 71, "image": "bcd8aa70-e59a-4911-96e8-53c5b846dd6b_png_jpg.rf.fc6a6dff57ebb1f0a09fcd9fda6122f4.jpg", "expected": "10", "predicted": "10", "correct": true, "input_tokens": 1190, "output_tokens": 340, "elapsed_seconds": 15.157623999984935, "metadata": {"question": "How many distinct size codes are listed in the 'SIZE' column on the far left of the table? Output the final count as a single integer (e.g., 5).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 15.2282}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 72, "image": "3c78fcf8-2bce-4157-ac2c-e52f999a378c_input-input-1768902949600-rch94svhd_png_jpg.rf.6b75c0351af58e8707a0b1d75af18aa8.jpg", "expected": "three", "predicted": "three", "correct": true, "input_tokens": 1147, "output_tokens": 255, "elapsed_seconds": 7.919856333057396, "metadata": {"question": "How many red digits are present on the main rolling counter display? Answer strictly with a spelled-out word (e.g., \"one\", \"two\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.0402}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230821", "index": 73, "image": "621387a6-d868-4912-90f1-7e8abd9df0c0_png_jpg.rf.daf83e0999a9864ca1e0ed08dade1191.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1172, "output_tokens": 307, "elapsed_seconds": 5.781050625024363, "metadata": {"question": "How many small circular subdials are visible on the blue Tissot watch face? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.8867}} diff --git a/results/counting_gemini-4-argon_high_20261012_230913.jsonl b/results/counting_gemini-4-argon_high_20261012_230913.jsonl new file mode 100644 index 0000000..960aaf7 --- /dev/null +++ b/results/counting_gemini-4-argon_high_20261012_230913.jsonl @@ -0,0 +1,74 @@ +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 0, "image": "f0d4c0bf-3a21-41a5-b0c2-c33b94feadb4_input-input-1771859752511-bk56l0pe1_png_jpg.rf.4af05c5fc1bdd4926894682e94c4b7b1.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1139, "output_tokens": 194, "elapsed_seconds": 5.211793791037053, "metadata": {"question": "How many vertical metal locking bars run down the back of the container doors? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.3137}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 1, "image": "63b26fc7-8349-4fbc-a0ad-e9d46bf28979_input-input-1769103313709-j5jk2uqdi_png_jpg.rf.a410e069cd682ad340d9504a57fce39d.jpg", "expected": "8", "predicted": "9", "correct": false, "input_tokens": 1145, "output_tokens": 1082, "elapsed_seconds": 12.667620416963473, "metadata": {"question": "How many of the orange blister pockets in the pack are open (already emptied, with no capsule remaining)? Output the final count as a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 12.724}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 2, "image": "6c44004a-c031-4396-a931-9a863a8802d2_png_jpg.rf.78a91a481b9044d0bc75154221a7ac45.jpg", "expected": "six", "predicted": "six", "correct": true, "input_tokens": 1147, "output_tokens": 240, "elapsed_seconds": 6.657882708008401, "metadata": {"question": "How many circular icons are visible in the horizontal menu bar directly above the \"Expenses (UK-Bank)\" title? Answer strictly with a spelled-out word.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.7221}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 3, "image": "4f2b6aab-f1c1-4f16-b3ca-bbe4d399a897_input-input-1773381300920-0uaf4zno9_png_jpg.rf.0a20aa6813607730b27a12060a642dbb.jpg", "expected": "15", "predicted": "15", "correct": true, "input_tokens": 1185, "output_tokens": 200, "elapsed_seconds": 3.778346540988423, "metadata": {"question": "How many small, square white bowls are arranged on the fully visible metal tray positioned in the top right area of the image? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.8265}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 4, "image": "26584325-f95e-41e4-9f4b-99afc5ff078d_png_jpg.rf.9a3624b41cfb86cab6301d79694fbf6d.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1153, "output_tokens": 588, "elapsed_seconds": 7.264285624958575, "metadata": {"question": "How many checkmarks are visible in the \"NEED\" column of the \"SERVICES:\" table on the left? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.3483}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 5, "image": "c56ead6c-0697-4216-a27e-fbd28c19aaed_input-input-1781393738001-e3qhlmchi_png_jpg.rf.9ab190943804e3d54fa1136c7886e772.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1186, "output_tokens": 192, "elapsed_seconds": 4.429819874931127, "metadata": {"question": "How many distinct horizontal tire sidewalls are stacked in the image? Output the final count as a single integer (e.g., 5).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.4759}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 6, "image": "003df5d3-f7ea-4567-8055-8733d3b39a27_input-input-1780991138503-fltoik3ij_png_jpg.rf.cf4d02bc406dbf7decf23b5678d8956d.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1169, "output_tokens": 686, "elapsed_seconds": 11.550514042028226, "metadata": {"question": "How many workers are visible in the warehouse? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.6059}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 7, "image": "4cf40711-7419-4961-8920-88715c8b601f_input-input-1777166096829-s1ov2lkxh_png_jpg.rf.990c23aecc8702b0cfa58e90a8441f46.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1180, "output_tokens": 412, "elapsed_seconds": 6.70940587494988, "metadata": {"question": "How many rectangular black plates with a 2x4 stud configuration are clearly visible in the image? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.7655}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 8, "image": "4cf40711-7419-4961-8920-88715c8b601f_input-input-1777166096829-s1ov2lkxh_png_jpg.rf.990c23aecc8702b0cfa58e90a8441f46.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1178, "output_tokens": 697, "elapsed_seconds": 10.303628541063517, "metadata": {"question": "How many individual round white tiles printed with a black eye pattern are visible in the assortment? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.3577}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 9, "image": "4cf40711-7419-4961-8920-88715c8b601f_input-input-1777166096829-s1ov2lkxh_png_jpg.rf.990c23aecc8702b0cfa58e90a8441f46.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1175, "output_tokens": 2155, "elapsed_seconds": 30.774455875041895, "metadata": {"question": "How many distinct, whole animal figures are visible among the scattered LEGO pieces? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 30.833}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 10, "image": "33299f4b-1857-4400-a31d-677ecd2c277a_input-input-1771415890481-7pfiombu0_png_jpg.rf.5df1a4fcae6b4c6acd16051c660f783f.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1151, "output_tokens": 444, "elapsed_seconds": 8.409199416055344, "metadata": {"question": "How many red directional arrows are painted on the large grey pipes in the foreground? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.4724}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 11, "image": "48fa18cc-eee4-4e13-9647-318c7155420c_png_jpg.rf.8a732d4c26a0198146370e4b98476551.jpg", "expected": "4", "predicted": "2", "correct": false, "input_tokens": 1143, "output_tokens": 3136, "elapsed_seconds": 33.31516895792447, "metadata": {"question": "How many rows in the main table have a blue background? Output the final count as a single integer (e.g., 3).", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 33.3891}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 12, "image": "c9b00dcb-e093-43d9-baf8-f1971ff328af_input-input-1769103177177-3x5hfzwbp_png_jpg.rf.5036bc0df858e9911be4fa08e6b80a40.jpg", "expected": "22", "predicted": "22", "correct": true, "input_tokens": 1145, "output_tokens": 962, "elapsed_seconds": 10.105045292060822, "metadata": {"question": "How many intact capsules remain in the blister pack across all rows? Output the final count as a single integer (e.g., 15).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.1578}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 13, "image": "056e17c9-9b46-496a-9cf8-c1b54bd73216_png_jpg.rf.1e94f330e43f2a21d12e145273ac3f94.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1163, "output_tokens": 522, "elapsed_seconds": 6.029906915966421, "metadata": {"question": "How many files or folders are listed directly inside the \"app\" directory in the file explorer on the right side? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.0693}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 14, "image": "db35c41c-a9ed-41bc-96cf-60186d715477_input-input-1774653477270-a4j6j7v6e_png_jpg.rf.81a4c1ac6254af08518ea58b5137ed9c.jpg", "expected": "8", "predicted": "9", "correct": false, "input_tokens": 1184, "output_tokens": 3235, "elapsed_seconds": 45.9410277500283, "metadata": {"question": "How many workers are standing or kneeling directly on the rebar grid inside the excavated pit? Output the final count as a single integer (e.g., 3).", "strict_correct": false, "judge_correct": false, "attempts": 2, "retries": 1, "total_seconds": 108.7958, "transient_errors": ["RemoteProtocolError"]}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 15, "image": "db35c41c-a9ed-41bc-96cf-60186d715477_input-input-1774653477270-a4j6j7v6e_png_jpg.rf.81a4c1ac6254af08518ea58b5137ed9c.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1185, "output_tokens": 258, "elapsed_seconds": 5.21560908399988, "metadata": {"question": "How many workers are standing together on the dirt level directly in front of the white crane? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.2642}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 16, "image": "db35c41c-a9ed-41bc-96cf-60186d715477_input-input-1774653477270-a4j6j7v6e_png_jpg.rf.81a4c1ac6254af08518ea58b5137ed9c.jpg", "expected": "0", "predicted": "0", "correct": true, "input_tokens": 1180, "output_tokens": 537, "elapsed_seconds": 7.479513624915853, "metadata": {"question": "How many workers are not wearing head protection (a hard hat)? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.5282}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 17, "image": "1b4e5426-d109-4398-8e45-ab1dc497980f_png_jpg.rf.77e9ea61b4fcfb4286af38f0a02211c8.jpg", "expected": "12", "predicted": "12", "correct": true, "input_tokens": 1182, "output_tokens": 446, "elapsed_seconds": 5.312752166995779, "metadata": {"question": "How many red circles are drawn around lowercase letters in the table? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.3494}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 18, "image": "21a6d806-d16e-4452-a2e3-7fa520bd671d_input-input-1769360430457-50a88jpis_png_jpg.rf.686e67d06dd1f487be5dc88fff5e7bc3.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1149, "output_tokens": 743, "elapsed_seconds": 13.96603775001131, "metadata": {"question": "How many individual screws are visibly resting inside the plastic bin labeled \"DIN 912 M8 x 30\"? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 14.0851}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 19, "image": "020c3db8-dcc2-40e0-bf26-c874edb1612b_png_jpg.rf.ac73a13cb831f0a2f94ea3824f41a47d.jpg", "expected": "11", "predicted": "11", "correct": true, "input_tokens": 1176, "output_tokens": 649, "elapsed_seconds": 7.762296458007768, "metadata": {"question": "How many items are listed under the 'DRY GOODS' section header in the table? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.8147}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 20, "image": "1ad1c779-b18f-4aaa-9cf0-6155cb19879b_input-input-1769444672197-ug2bdacps_png_jpg.rf.f23a8a19a08199a726f99d7a1549be63.jpg", "expected": "15", "predicted": "15", "correct": true, "input_tokens": 1167, "output_tokens": 544, "elapsed_seconds": 6.6051021249732, "metadata": {"question": "How many round pills are visible in the blister pack on the right side of the image? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.62}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 21, "image": "2e15743f-6bc8-4cce-8ec0-66eea3a6ca2f_input-input-1779607392296-qwxxnltdb_png_jpg.rf.608695980e866c196074445d3c3449ce.jpg", "expected": "0", "predicted": "0", "correct": true, "input_tokens": 1178, "output_tokens": 539, "elapsed_seconds": 7.389390083029866, "metadata": {"question": "How many water bottles with blue caps are visible on the bottom shelf? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.4254}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 22, "image": "214d5a30-f38a-4509-bd53-1e3ea49f9c8b_png_jpg.rf.b1c6d3fc8fd27d8b69dffde40d80310c.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1149, "output_tokens": 438, "elapsed_seconds": 5.797385334037244, "metadata": {"question": "How many blue pen marks/ticks are visible in the 'WITHDRAWALS' column? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.861}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 23, "image": "403906f1-d101-4a15-b0b3-43f90df6b13e_input-input-1780067976213-f8fki9qzj_png_jpg.rf.aa03e3dd2a567694bf8badd574e32ae3.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1174, "output_tokens": 267, "elapsed_seconds": 5.921817832975648, "metadata": {"question": "How many white tables are located between the facing seats in the carriage? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.0164}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 24, "image": "0f7a1b1b-b0f9-4dba-9659-0455701b7a3f_png_jpg.rf.ab769bd32b93fa65b7df75c6ec1ef3cd.jpg", "expected": "five", "predicted": "five", "correct": true, "input_tokens": 1152, "output_tokens": 634, "elapsed_seconds": 7.658283457974903, "metadata": {"question": "How many checkmarks are written in the column labeled \"4\" in the evaluation table? Answer strictly with a spelled-out word (e.g., \"one\", \"two\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.673}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 25, "image": "d489f405-013e-4e8b-968a-1d9db2060050_png_jpg.rf.be190d9e1ea972d827d8c52c3391f1fd.jpg", "expected": "9", "predicted": "9", "correct": true, "input_tokens": 1167, "output_tokens": 301, "elapsed_seconds": 4.657280749990605, "metadata": {"question": "How many handwritten checkmarks are visible in the left margin next to the line numbers (LNO)? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.6724}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 26, "image": "1b411f19-76c2-4028-b3ab-832256b9fb5e_input-input-1779844698418-8rz7uj6gh_png_jpg.rf.4d2907a675bb4eca3f3ae3a40822117f.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1144, "output_tokens": 496, "elapsed_seconds": 10.534394791000523, "metadata": {"question": "How many brown cardboard boxes prominently labeled \"Real-Kill\" are visible on the top storage shelf? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.649}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 27, "image": "1b411f19-76c2-4028-b3ab-832256b9fb5e_input-input-1779844698418-8rz7uj6gh_png_jpg.rf.4d2907a675bb4eca3f3ae3a40822117f.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1146, "output_tokens": 740, "elapsed_seconds": 11.89542891702149, "metadata": {"question": "How many green and white \"Bug B-gon\" jugs are visible on the fourth shelf from the top? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 12.0104}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 28, "image": "02eaa1d1-ffaf-46f3-b9ef-b7ab3551b738_input-input-1777971607736-x33g85l3u_png_jpg.rf.4056fc9b233d537c46ed68224f3f2e27.jpg", "expected": "15", "predicted": "15", "correct": true, "input_tokens": 1176, "output_tokens": 1552, "elapsed_seconds": 16.441301500075497, "metadata": {"question": "How many tiles are missing from the wall? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 16.4965}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 29, "image": "25e6ed9c-2d37-4533-8021-977770aa97d1_input-input-1780691294811-oql9y0w9f_png_jpg.rf.36701f4301765d1397e29a5f8d8f9471.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1172, "output_tokens": 319, "elapsed_seconds": 8.247426916961558, "metadata": {"question": "How many green gas cylinders are present in the truck bed? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.3134}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 30, "image": "76d985c4-8ba2-4660-871b-939bba136896_input-input-1774985116190-hco0gpvmt_png_jpg.rf.e2a22365c854e0212534e5a8675bb4c9.jpg", "expected": "7", "predicted": "7", "correct": true, "input_tokens": 1167, "output_tokens": 724, "elapsed_seconds": 9.086834124987945, "metadata": {"question": "How many bullet holes are located entirely or partially within the large black circular area of the target? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.1854}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 31, "image": "76d985c4-8ba2-4660-871b-939bba136896_input-input-1774985116190-hco0gpvmt_png_jpg.rf.e2a22365c854e0212534e5a8675bb4c9.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1170, "output_tokens": 706, "elapsed_seconds": 11.055495374952443, "metadata": {"question": "How many bullet holes are visibly piercing the off-white outer area in the lower right quadrant of the image? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.1501}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 32, "image": "0e3ca6d7-7301-474e-bad2-3bc3a9aa7140_input-input-1780425165960-zu9asq91k_png_jpg.rf.7dd6f9559d3f83a1e451dd68ab07f639.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1181, "output_tokens": 1068, "elapsed_seconds": 14.254824499948882, "metadata": {"question": "How many large, circular white feeding trays are attached to the thicker pipe running diagonally on the right side? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 14.3117}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 33, "image": "d0b99ce8-8a3b-4d1d-98d4-b34137b19f08_input-input-1768805031339-rs4dctz0p_png_jpg.rf.bbdc304ba5f61cb85ea823bce3f757b9.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1174, "output_tokens": 328, "elapsed_seconds": 9.079971249913797, "metadata": {"question": "How many women are depicted on the stamp labeled \"WOMEN IN OUR ARMED SERVICES\" in the bottom row? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.1827}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 34, "image": "d0b99ce8-8a3b-4d1d-98d4-b34137b19f08_input-input-1768805031339-rs4dctz0p_png_jpg.rf.bbdc304ba5f61cb85ea823bce3f757b9.jpg", "expected": "28", "predicted": "28", "correct": true, "input_tokens": 1170, "output_tokens": 1007, "elapsed_seconds": 13.722091792034917, "metadata": {"question": "How many stamps in the display show a 3\u00a2 (three-cent) denomination? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 13.824}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 35, "image": "d0b99ce8-8a3b-4d1d-98d4-b34137b19f08_input-input-1768805031339-rs4dctz0p_png_jpg.rf.bbdc304ba5f61cb85ea823bce3f757b9.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1165, "output_tokens": 1381, "elapsed_seconds": 18.091981500037946, "metadata": {"question": "How many predominantly purple or violet stamps are visible in the display? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 18.2003}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 36, "image": "3cc9dff1-0e00-4900-9013-00d7b1be6a09_input-input-1779942886819-2wwj3rkhy_png_jpg.rf.2b0fb18f9f03d4dead03ef88ead19450.jpg", "expected": "8", "predicted": "8", "correct": true, "input_tokens": 1183, "output_tokens": 497, "elapsed_seconds": 6.22022770892363, "metadata": {"question": "How many runners are visible on the track? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.2405}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 37, "image": "76bbc10c-bed4-41d3-8622-035eeabc5596_input-input-1769119181178-immkwkrpv_png_jpg.rf.9e45cd4a9160b72762d9d1091e937e81.jpg", "expected": "22", "predicted": "22", "correct": true, "input_tokens": 1137, "output_tokens": 2453, "elapsed_seconds": 22.35367854195647, "metadata": {"question": "How many lens-box slots in the display grid are empty? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 22.4759}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 38, "image": "1e37f04c-e13e-4595-8119-71801b83924e_png_jpg.rf.88d495e552edc70aa4a9fd4db0b6f2a4.jpg", "expected": "8", "predicted": "8", "correct": true, "input_tokens": 1153, "output_tokens": 1541, "elapsed_seconds": 22.565088666044176, "metadata": {"question": "How many grey boxes are provided for entering the \"Amount Enclosed\" in the payment stub at the bottom right? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 22.6864}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 39, "image": "f0db827b-688f-45e5-b6d0-991c49108a4e_input-input-1771013479121-jj5wfnran_png_jpg.rf.78c029e9c9141b5c35558d767cf94681.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1143, "output_tokens": 965, "elapsed_seconds": 14.172298582969233, "metadata": {"question": "How many abnormal or defective candies are visible in the image? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 14.2371}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 40, "image": "c1300d50-94fc-4081-b871-8338cef58e16_input-input-1778695950497-jbtexy630_png_jpg.rf.21ec9923369fc4380c0cc3c8aba1d9c1.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1179, "output_tokens": 605, "elapsed_seconds": 8.087427124963142, "metadata": {"question": "How many players wearing blue jerseys are visible on the ice? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.1262}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 41, "image": "0212eb3d-e4b1-4ef4-9204-e920654bf677_input-input-1778110710064-oqhw5zz8j_png_jpg.rf.2faf044c9ba90e69aaaae8eaceafe6d4.jpg", "expected": "seven", "predicted": "seven", "correct": true, "input_tokens": 1150, "output_tokens": 719, "elapsed_seconds": 9.461190459085628, "metadata": {"question": "How many green \"Price Cut\" promotional tags are visible across the entire display? Answer strictly with a spelled-out word (e.g., \"one\", \"two\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.5803}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 42, "image": "4409ba1c-5b55-47e4-8fb3-ed245021d0bb_input-input-1776892569933-6scj88bzo_png_jpg.rf.92cb44b13f714204abf3b13ac1190860.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1147, "output_tokens": 429, "elapsed_seconds": 7.326330958050676, "metadata": {"question": "How many item refund lines with negative pound amounts are listed under 'Online Return'? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.3972}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 43, "image": "20c6f561-491b-44ca-a96a-8f6d926b8307_png_jpg.rf.1bae1396728629da79305bdaaffa6fbb.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1142, "output_tokens": 439, "elapsed_seconds": 6.2764948749681935, "metadata": {"question": "How many bottles are crushed or dented? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.3129}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 44, "image": "097f7d52-0fd1-4385-9ec4-65a9ee83d81b_input-input-1776852419339-bqf3nz0wx_png_jpg.rf.4a2de88188f1ad2a3d4b04855bc2f1c7.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1162, "output_tokens": 227, "elapsed_seconds": 6.236944792093709, "metadata": {"question": "How many bright green cars are parked in the visible parking spaces? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.3434}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 45, "image": "097f7d52-0fd1-4385-9ec4-65a9ee83d81b_input-input-1776852419339-bqf3nz0wx_png_jpg.rf.4a2de88188f1ad2a3d4b04855bc2f1c7.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1171, "output_tokens": 551, "elapsed_seconds": 10.421946708927862, "metadata": {"question": "How many empty parking spaces are located between the cyan car and the bright green car in their shared parking row? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.5262}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 46, "image": "5bab6379-3de6-4deb-9698-97dad64b505c_input-input-1769090638596-o1nehu2dd_png_jpg.rf.4104781e673773b15de3cf099cb4d3f2.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1194, "output_tokens": 552, "elapsed_seconds": 8.237073958967812, "metadata": {"question": "If each wheelchair accessibility symbol marks one accessible parking space, how many accessible spaces are indicated by the symbols next to the building? Output the final count as a single integer (e.g., 4).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.3024}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 47, "image": "f4155be5-83b2-4214-89e0-b21906a781bd_png_jpg.rf.3cc4abb5bae56fbe2c8c798fcfbe7077.jpg", "expected": "11", "predicted": "11", "correct": true, "input_tokens": 1161, "output_tokens": 616, "elapsed_seconds": 7.502893208060414, "metadata": {"question": "How many times does the quantity \"1\" appear in the leftmost column of the itemized list? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.5679}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 48, "image": "dce06136-2d24-422b-a3b6-e100c9a4bad1_input-input-1780992231793-0zf74ymfd_png_jpg.rf.c2823e6e198b2039f5cd13aa75bebfbc.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1167, "output_tokens": 412, "elapsed_seconds": 7.421895917039365, "metadata": {"question": "How many cartoon characters are depicted in the orange section on the right side of the package? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.4691}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 49, "image": "19f45907-d682-40cf-bb87-9133dc873871_input-input-1778506438615-gyarfruw4_png_jpg.rf.f1250911547dbb93c6724fe40a099c66.jpg", "expected": "9", "predicted": "9", "correct": true, "input_tokens": 1192, "output_tokens": 601, "elapsed_seconds": 8.250867084017955, "metadata": {"question": "How many digits make up the serial number (S/N) printed at the top center of the meter? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.2763}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 50, "image": "e060bfb7-df44-43fd-83e7-fd09ac632863_png_jpg.rf.62cf5b61db7a2b02ec021799866318b3.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1145, "output_tokens": 971, "elapsed_seconds": 11.688512166962028, "metadata": {"question": "How many vertical books with predominantly orange spines are visible on the shelf? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.7645}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 51, "image": "05d94928-3491-4ab4-92be-1784b5cbcb18_png_jpg.rf.c75a6c9ea5b6c16f44c39b7dc8f66216.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1188, "output_tokens": 500, "elapsed_seconds": 5.908991124946624, "metadata": {"question": "How many leaf nodes (nodes with no children) are there in the binary tree shown at the top? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.9263}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 52, "image": "1478f318-0372-4bbb-bf28-6cab8c447a59_input-input-1771868885484-ua18hynnb_png_jpg.rf.48494081054afe07b3a29e3cf54058fe.jpg", "expected": "8", "predicted": "8", "correct": true, "input_tokens": 1137, "output_tokens": 764, "elapsed_seconds": 11.622397667029873, "metadata": {"question": "How many Butterfinger candy bars are visible in column E4? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.6919}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 53, "image": "1478f318-0372-4bbb-bf28-6cab8c447a59_input-input-1771868885484-ua18hynnb_png_jpg.rf.48494081054afe07b3a29e3cf54058fe.jpg", "expected": "0", "predicted": "0", "correct": true, "input_tokens": 1146, "output_tokens": 514, "elapsed_seconds": 8.008027374977246, "metadata": {"question": "How many completely empty coil columns are visible between the yellow Butterfinger wrappers and the orange Reese's wrappers? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.0768}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 54, "image": "1478f318-0372-4bbb-bf28-6cab8c447a59_input-input-1771868885484-ua18hynnb_png_jpg.rf.48494081054afe07b3a29e3cf54058fe.jpg", "expected": "22", "predicted": "22", "correct": true, "input_tokens": 1145, "output_tokens": 717, "elapsed_seconds": 8.824046041001566, "metadata": {"question": "How many M&M's packages are visible in the machine? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.8955}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 55, "image": "01c39aed-93d2-4359-917a-1d3f4dbc60a1_png_jpg.rf.c61a3470f20d4496fda1707eaa58d82d.jpg", "expected": "4", "predicted": "5", "correct": false, "input_tokens": 1149, "output_tokens": 3470, "elapsed_seconds": 42.596011292072944, "metadata": {"question": "How many blue bolts labeled with the number 23 are shown in the exploded diagram? Output the final count as a single integer (e.g., 3).", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 42.6203}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 56, "image": "396282bc-0d15-4e53-8803-7e5b69c1bef0_input-input-1773381099913-tgin8sfew_png_jpg.rf.adc85e75f7f5793f05427ecdddc06a07.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1185, "output_tokens": 249, "elapsed_seconds": 4.951551749953069, "metadata": {"question": "How many rectangular metal trays holding dessert cups are visible on the right side of the table? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.997}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 57, "image": "396282bc-0d15-4e53-8803-7e5b69c1bef0_input-input-1773381099913-tgin8sfew_png_jpg.rf.adc85e75f7f5793f05427ecdddc06a07.jpg", "expected": "12", "predicted": "12", "correct": true, "input_tokens": 1188, "output_tokens": 539, "elapsed_seconds": 7.9517880419734865, "metadata": {"question": "How many dessert cups are in the metal tray immediately to the right of the blue-striped paper sheets? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.9991}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 58, "image": "1b7f1694-d9e1-496c-aed6-ea6baec4088a_png_jpg.rf.ccb9d030f1b587dd97bba12f6b7ec184.jpg", "expected": "8", "predicted": "8", "correct": true, "input_tokens": 1171, "output_tokens": 233, "elapsed_seconds": 4.742823874927126, "metadata": {"question": "How many large airplanes are parked on the main concrete apron in the upper half of the image? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.8067}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 59, "image": "be797fcf-056b-44b2-a1da-b667c3185959_input-input-1773768805936-h107qsgy2_png_jpg.rf.866a72ab13a76381b59fc1a3280496d2.jpg", "expected": "10", "predicted": "5", "correct": false, "input_tokens": 1159, "output_tokens": 2841, "elapsed_seconds": 29.64804620796349, "metadata": {"question": "How many devices can fit inside a single front-to-back column of the large tilted black tray in the foreground? Output the final count as a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 29.7017}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 60, "image": "be797fcf-056b-44b2-a1da-b667c3185959_input-input-1773768805936-h107qsgy2_png_jpg.rf.866a72ab13a76381b59fc1a3280496d2.jpg", "expected": "22", "predicted": "24", "correct": false, "input_tokens": 1152, "output_tokens": 3021, "elapsed_seconds": 34.44368041702546, "metadata": {"question": "How many empty slots in total are in the large tilted black tray in the foreground? Output the final count as a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 3, "retries": 2, "total_seconds": 166.322, "transient_errors": ["RemoteProtocolError", "RemoteProtocolError"]}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 61, "image": "122ef3fe-1e8b-4790-b9e1-721a9c9d4b86_input-input-1771297576554-0xpo2dsmn_png_jpg.rf.1efcee784f71e642e8048f85c6a89ecd.jpg", "expected": "8", "predicted": "8", "correct": true, "input_tokens": 1141, "output_tokens": 883, "elapsed_seconds": 11.45408416702412, "metadata": {"question": "How many orange packets are grouped together at the top of the stack inside the box? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.5826}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 62, "image": "36e6af65-9cf0-4b16-b5b2-2dbf5d54ffae_input-input-1778190001786-w0937ikxt_png_jpg.rf.b036a53ece9920b07b8682ac35c9bbd2.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1178, "output_tokens": 2199, "elapsed_seconds": 31.95615470793564, "metadata": {"question": "How many blue cables are plugged into the ports on the left side of the white panel? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 31.9886}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 63, "image": "36e6af65-9cf0-4b16-b5b2-2dbf5d54ffae_input-input-1778190001786-w0937ikxt_png_jpg.rf.b036a53ece9920b07b8682ac35c9bbd2.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1174, "output_tokens": 423, "elapsed_seconds": 6.95529733307194, "metadata": {"question": "How many yellow cables are plugged into the ports on the white panel? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.9844}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 64, "image": "f0c68933-64c5-49e6-8845-707afdc32a4e_input-input-1776058768062-tn8vkqrxk_png_jpg.rf.c66fb27d88e528755f22742fcdf00c02.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1165, "output_tokens": 464, "elapsed_seconds": 9.136013209004886, "metadata": {"question": "How many people are visible in the image? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.2179}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 65, "image": "3afd1b0e-33ad-4f1a-9ddf-b204107eb230_input-input-1776059274665-zosrz5qle_png_jpg.rf.70231d8dad35e71bcd49d5cb93b2dfc9.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1162, "output_tokens": 388, "elapsed_seconds": 7.924869250040501, "metadata": {"question": "How many people are currently seated at the desks in the office? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.9587}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 66, "image": "43a0837b-dfa3-4160-8487-71e9daeb5b99_input-input-1775138372300-avlcj3a0a_png_jpg.rf.1902113cf3fe1dd691ba2bbab90fd88b.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1171, "output_tokens": 226, "elapsed_seconds": 4.622727832989767, "metadata": {"question": "How many large dark symbols are visible in the vertical line of markings on the light gray panel? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.631}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 67, "image": "26aea39a-beea-43d5-bbd5-c716b698ebaf_png_jpg.rf.b43c70658245fd13f38d8b30e5bdc44d.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1165, "output_tokens": 380, "elapsed_seconds": 5.37782083300408, "metadata": {"question": "How many shrink-wrapped packs of coke bottles with blue caps are visible on the pallet? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.4005}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 68, "image": "c23e413c-57e2-4e59-946e-b511526184a9_input-input-1769617613579-ed7ya5fh1_png_jpg.rf.da6ffdada344ce2ab64d1676e0515d25.jpg", "expected": "12", "predicted": "12", "correct": true, "input_tokens": 1179, "output_tokens": 2864, "elapsed_seconds": 31.779284209012985, "metadata": {"question": "How many flat metal brackets are visible inside the blue bin? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 31.8425}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 69, "image": "c23e413c-57e2-4e59-946e-b511526184a9_input-input-1769617613579-ed7ya5fh1_png_jpg.rf.da6ffdada344ce2ab64d1676e0515d25.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1183, "output_tokens": 588, "elapsed_seconds": 11.178453875007108, "metadata": {"question": "How many circular holes are clearly visible on the topmost, diagonally oriented metal bracket? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.2915}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 70, "image": "0f07f712-f1ce-4b90-963e-7849862d827d_input-input-1779919148318-fedk52cp8_png_jpg.rf.616ee6530fd2873ab0d91b0ddd7140cc.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1175, "output_tokens": 312, "elapsed_seconds": 5.179335583001375, "metadata": {"question": "How many square bricks with exactly four studs are visible on the white surface? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.2112}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 71, "image": "bcd8aa70-e59a-4911-96e8-53c5b846dd6b_png_jpg.rf.fc6a6dff57ebb1f0a09fcd9fda6122f4.jpg", "expected": "10", "predicted": "10", "correct": true, "input_tokens": 1190, "output_tokens": 371, "elapsed_seconds": 6.975635958020575, "metadata": {"question": "How many distinct size codes are listed in the 'SIZE' column on the far left of the table? Output the final count as a single integer (e.g., 5).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.0416}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 72, "image": "3c78fcf8-2bce-4157-ac2c-e52f999a378c_input-input-1768902949600-rch94svhd_png_jpg.rf.6b75c0351af58e8707a0b1d75af18aa8.jpg", "expected": "three", "predicted": "three", "correct": true, "input_tokens": 1147, "output_tokens": 257, "elapsed_seconds": 5.2647157500032336, "metadata": {"question": "How many red digits are present on the main rolling counter display? Answer strictly with a spelled-out word (e.g., \"one\", \"two\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.3804}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261012_230913", "index": 73, "image": "621387a6-d868-4912-90f1-7e8abd9df0c0_png_jpg.rf.daf83e0999a9864ca1e0ed08dade1191.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1172, "output_tokens": 254, "elapsed_seconds": 4.9522852500667796, "metadata": {"question": "How many small circular subdials are visible on the blue Tissot watch face? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.0507}} diff --git a/results/counting_gemini-4-argon_high_20261013_064713.jsonl b/results/counting_gemini-4-argon_high_20261013_064713.jsonl new file mode 100644 index 0000000..cd86fba --- /dev/null +++ b/results/counting_gemini-4-argon_high_20261013_064713.jsonl @@ -0,0 +1,74 @@ +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 0, "image": "f0d4c0bf-3a21-41a5-b0c2-c33b94feadb4_input-input-1771859752511-bk56l0pe1_png_jpg.rf.4af05c5fc1bdd4926894682e94c4b7b1.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1139, "output_tokens": 192, "elapsed_seconds": 4.96366887493059, "metadata": {"question": "How many vertical metal locking bars run down the back of the container doors? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.0658}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 1, "image": "63b26fc7-8349-4fbc-a0ad-e9d46bf28979_input-input-1769103313709-j5jk2uqdi_png_jpg.rf.a410e069cd682ad340d9504a57fce39d.jpg", "expected": "8", "predicted": "9", "correct": false, "input_tokens": 1145, "output_tokens": 1223, "elapsed_seconds": 11.621743332943879, "metadata": {"question": "How many of the orange blister pockets in the pack are open (already emptied, with no capsule remaining)? Output the final count as a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 11.678}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 2, "image": "6c44004a-c031-4396-a931-9a863a8802d2_png_jpg.rf.78a91a481b9044d0bc75154221a7ac45.jpg", "expected": "six", "predicted": "six", "correct": true, "input_tokens": 1147, "output_tokens": 249, "elapsed_seconds": 4.5198274159338325, "metadata": {"question": "How many circular icons are visible in the horizontal menu bar directly above the \"Expenses (UK-Bank)\" title? Answer strictly with a spelled-out word.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.5823}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 3, "image": "4f2b6aab-f1c1-4f16-b3ca-bbe4d399a897_input-input-1773381300920-0uaf4zno9_png_jpg.rf.0a20aa6813607730b27a12060a642dbb.jpg", "expected": "15", "predicted": "15", "correct": true, "input_tokens": 1185, "output_tokens": 182, "elapsed_seconds": 4.73646225000266, "metadata": {"question": "How many small, square white bowls are arranged on the fully visible metal tray positioned in the top right area of the image? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.7853}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 4, "image": "26584325-f95e-41e4-9f4b-99afc5ff078d_png_jpg.rf.9a3624b41cfb86cab6301d79694fbf6d.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1153, "output_tokens": 691, "elapsed_seconds": 8.71843579201959, "metadata": {"question": "How many checkmarks are visible in the \"NEED\" column of the \"SERVICES:\" table on the left? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.7998}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 5, "image": "c56ead6c-0697-4216-a27e-fbd28c19aaed_input-input-1781393738001-e3qhlmchi_png_jpg.rf.9ab190943804e3d54fa1136c7886e772.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1186, "output_tokens": 170, "elapsed_seconds": 3.5016724170418456, "metadata": {"question": "How many distinct horizontal tire sidewalls are stacked in the image? Output the final count as a single integer (e.g., 5).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.5491}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 6, "image": "003df5d3-f7ea-4567-8055-8733d3b39a27_input-input-1780991138503-fltoik3ij_png_jpg.rf.cf4d02bc406dbf7decf23b5678d8956d.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1169, "output_tokens": 534, "elapsed_seconds": 8.299037708085962, "metadata": {"question": "How many workers are visible in the warehouse? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.351}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 7, "image": "4cf40711-7419-4961-8920-88715c8b601f_input-input-1777166096829-s1ov2lkxh_png_jpg.rf.990c23aecc8702b0cfa58e90a8441f46.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1180, "output_tokens": 445, "elapsed_seconds": 7.524591666995548, "metadata": {"question": "How many rectangular black plates with a 2x4 stud configuration are clearly visible in the image? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.5841}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 8, "image": "4cf40711-7419-4961-8920-88715c8b601f_input-input-1777166096829-s1ov2lkxh_png_jpg.rf.990c23aecc8702b0cfa58e90a8441f46.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1178, "output_tokens": 470, "elapsed_seconds": 8.492302833939902, "metadata": {"question": "How many individual round white tiles printed with a black eye pattern are visible in the assortment? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.549}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 9, "image": "4cf40711-7419-4961-8920-88715c8b601f_input-input-1777166096829-s1ov2lkxh_png_jpg.rf.990c23aecc8702b0cfa58e90a8441f46.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1175, "output_tokens": 1322, "elapsed_seconds": 21.225474333041348, "metadata": {"question": "How many distinct, whole animal figures are visible among the scattered LEGO pieces? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 21.282}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 10, "image": "33299f4b-1857-4400-a31d-677ecd2c277a_input-input-1771415890481-7pfiombu0_png_jpg.rf.5df1a4fcae6b4c6acd16051c660f783f.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1151, "output_tokens": 433, "elapsed_seconds": 8.861217124969698, "metadata": {"question": "How many red directional arrows are painted on the large grey pipes in the foreground? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.9238}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 11, "image": "48fa18cc-eee4-4e13-9647-318c7155420c_png_jpg.rf.8a732d4c26a0198146370e4b98476551.jpg", "expected": "4", "predicted": "2", "correct": false, "input_tokens": 1143, "output_tokens": 3085, "elapsed_seconds": 37.58556849998422, "metadata": {"question": "How many rows in the main table have a blue background? Output the final count as a single integer (e.g., 3).", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 37.6616}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 12, "image": "c9b00dcb-e093-43d9-baf8-f1971ff328af_input-input-1769103177177-3x5hfzwbp_png_jpg.rf.5036bc0df858e9911be4fa08e6b80a40.jpg", "expected": "22", "predicted": "22", "correct": true, "input_tokens": 1145, "output_tokens": 730, "elapsed_seconds": 6.900234999950044, "metadata": {"question": "How many intact capsules remain in the blister pack across all rows? Output the final count as a single integer (e.g., 15).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.9523}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 13, "image": "056e17c9-9b46-496a-9cf8-c1b54bd73216_png_jpg.rf.1e94f330e43f2a21d12e145273ac3f94.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1163, "output_tokens": 434, "elapsed_seconds": 6.691126915975474, "metadata": {"question": "How many files or folders are listed directly inside the \"app\" directory in the file explorer on the right side? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.7295}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 14, "image": "db35c41c-a9ed-41bc-96cf-60186d715477_input-input-1774653477270-a4j6j7v6e_png_jpg.rf.81a4c1ac6254af08518ea58b5137ed9c.jpg", "expected": "8", "predicted": "8", "correct": true, "input_tokens": 1184, "output_tokens": 3940, "elapsed_seconds": 44.54551550000906, "metadata": {"question": "How many workers are standing or kneeling directly on the rebar grid inside the excavated pit? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 44.5984}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 15, "image": "db35c41c-a9ed-41bc-96cf-60186d715477_input-input-1774653477270-a4j6j7v6e_png_jpg.rf.81a4c1ac6254af08518ea58b5137ed9c.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1185, "output_tokens": 273, "elapsed_seconds": 13.62452058296185, "metadata": {"question": "How many workers are standing together on the dirt level directly in front of the white crane? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 13.6747}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 16, "image": "db35c41c-a9ed-41bc-96cf-60186d715477_input-input-1774653477270-a4j6j7v6e_png_jpg.rf.81a4c1ac6254af08518ea58b5137ed9c.jpg", "expected": "0", "predicted": "0", "correct": true, "input_tokens": 1180, "output_tokens": 915, "elapsed_seconds": 13.455796458059922, "metadata": {"question": "How many workers are not wearing head protection (a hard hat)? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 13.5069}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 17, "image": "1b4e5426-d109-4398-8e45-ab1dc497980f_png_jpg.rf.77e9ea61b4fcfb4286af38f0a02211c8.jpg", "expected": "12", "predicted": "12", "correct": true, "input_tokens": 1182, "output_tokens": 406, "elapsed_seconds": 5.322316791978665, "metadata": {"question": "How many red circles are drawn around lowercase letters in the table? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.3609}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 18, "image": "21a6d806-d16e-4452-a2e3-7fa520bd671d_input-input-1769360430457-50a88jpis_png_jpg.rf.686e67d06dd1f487be5dc88fff5e7bc3.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1149, "output_tokens": 740, "elapsed_seconds": 11.61708900006488, "metadata": {"question": "How many individual screws are visibly resting inside the plastic bin labeled \"DIN 912 M8 x 30\"? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.7362}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 19, "image": "020c3db8-dcc2-40e0-bf26-c874edb1612b_png_jpg.rf.ac73a13cb831f0a2f94ea3824f41a47d.jpg", "expected": "11", "predicted": "11", "correct": true, "input_tokens": 1176, "output_tokens": 612, "elapsed_seconds": 7.1543038750533015, "metadata": {"question": "How many items are listed under the 'DRY GOODS' section header in the table? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.2083}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 20, "image": "1ad1c779-b18f-4aaa-9cf0-6155cb19879b_input-input-1769444672197-ug2bdacps_png_jpg.rf.f23a8a19a08199a726f99d7a1549be63.jpg", "expected": "15", "predicted": "15", "correct": true, "input_tokens": 1167, "output_tokens": 634, "elapsed_seconds": 7.429710874916054, "metadata": {"question": "How many round pills are visible in the blister pack on the right side of the image? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.4484}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 21, "image": "2e15743f-6bc8-4cce-8ec0-66eea3a6ca2f_input-input-1779607392296-qwxxnltdb_png_jpg.rf.608695980e866c196074445d3c3449ce.jpg", "expected": "0", "predicted": "0", "correct": true, "input_tokens": 1178, "output_tokens": 411, "elapsed_seconds": 6.114082667045295, "metadata": {"question": "How many water bottles with blue caps are visible on the bottom shelf? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.152}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 22, "image": "214d5a30-f38a-4509-bd53-1e3ea49f9c8b_png_jpg.rf.b1c6d3fc8fd27d8b69dffde40d80310c.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1149, "output_tokens": 545, "elapsed_seconds": 7.0690780830336735, "metadata": {"question": "How many blue pen marks/ticks are visible in the 'WITHDRAWALS' column? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.1329}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 23, "image": "403906f1-d101-4a15-b0b3-43f90df6b13e_input-input-1780067976213-f8fki9qzj_png_jpg.rf.aa03e3dd2a567694bf8badd574e32ae3.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1174, "output_tokens": 219, "elapsed_seconds": 4.80729687504936, "metadata": {"question": "How many white tables are located between the facing seats in the carriage? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.9049}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 24, "image": "0f7a1b1b-b0f9-4dba-9659-0455701b7a3f_png_jpg.rf.ab769bd32b93fa65b7df75c6ec1ef3cd.jpg", "expected": "five", "predicted": "five", "correct": true, "input_tokens": 1152, "output_tokens": 634, "elapsed_seconds": 7.265194999985397, "metadata": {"question": "How many checkmarks are written in the column labeled \"4\" in the evaluation table? Answer strictly with a spelled-out word (e.g., \"one\", \"two\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.2814}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 25, "image": "d489f405-013e-4e8b-968a-1d9db2060050_png_jpg.rf.be190d9e1ea972d827d8c52c3391f1fd.jpg", "expected": "9", "predicted": "9", "correct": true, "input_tokens": 1167, "output_tokens": 218, "elapsed_seconds": 4.248699165997095, "metadata": {"question": "How many handwritten checkmarks are visible in the left margin next to the line numbers (LNO)? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.2651}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 26, "image": "1b411f19-76c2-4028-b3ab-832256b9fb5e_input-input-1779844698418-8rz7uj6gh_png_jpg.rf.4d2907a675bb4eca3f3ae3a40822117f.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1144, "output_tokens": 360, "elapsed_seconds": 10.383897583000362, "metadata": {"question": "How many brown cardboard boxes prominently labeled \"Real-Kill\" are visible on the top storage shelf? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.5007}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 27, "image": "1b411f19-76c2-4028-b3ab-832256b9fb5e_input-input-1779844698418-8rz7uj6gh_png_jpg.rf.4d2907a675bb4eca3f3ae3a40822117f.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1146, "output_tokens": 530, "elapsed_seconds": 8.267675208975561, "metadata": {"question": "How many green and white \"Bug B-gon\" jugs are visible on the fourth shelf from the top? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.3818}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 28, "image": "02eaa1d1-ffaf-46f3-b9ef-b7ab3551b738_input-input-1777971607736-x33g85l3u_png_jpg.rf.4056fc9b233d537c46ed68224f3f2e27.jpg", "expected": "15", "predicted": "11", "correct": false, "input_tokens": 1176, "output_tokens": 1340, "elapsed_seconds": 16.867630625027232, "metadata": {"question": "How many tiles are missing from the wall? Output the final count as a single integer (e.g., 3).", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 16.927}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 29, "image": "25e6ed9c-2d37-4533-8021-977770aa97d1_input-input-1780691294811-oql9y0w9f_png_jpg.rf.36701f4301765d1397e29a5f8d8f9471.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1172, "output_tokens": 318, "elapsed_seconds": 5.870308541925624, "metadata": {"question": "How many green gas cylinders are present in the truck bed? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.9204}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 30, "image": "76d985c4-8ba2-4660-871b-939bba136896_input-input-1774985116190-hco0gpvmt_png_jpg.rf.e2a22365c854e0212534e5a8675bb4c9.jpg", "expected": "7", "predicted": "7", "correct": true, "input_tokens": 1167, "output_tokens": 803, "elapsed_seconds": 10.915279124979861, "metadata": {"question": "How many bullet holes are located entirely or partially within the large black circular area of the target? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.0089}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 31, "image": "76d985c4-8ba2-4660-871b-939bba136896_input-input-1774985116190-hco0gpvmt_png_jpg.rf.e2a22365c854e0212534e5a8675bb4c9.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1170, "output_tokens": 648, "elapsed_seconds": 8.935697000008076, "metadata": {"question": "How many bullet holes are visibly piercing the off-white outer area in the lower right quadrant of the image? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.03}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 32, "image": "0e3ca6d7-7301-474e-bad2-3bc3a9aa7140_input-input-1780425165960-zu9asq91k_png_jpg.rf.7dd6f9559d3f83a1e451dd68ab07f639.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1181, "output_tokens": 588, "elapsed_seconds": 9.793198500061408, "metadata": {"question": "How many large, circular white feeding trays are attached to the thicker pipe running diagonally on the right side? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.8461}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 33, "image": "d0b99ce8-8a3b-4d1d-98d4-b34137b19f08_input-input-1768805031339-rs4dctz0p_png_jpg.rf.bbdc304ba5f61cb85ea823bce3f757b9.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1174, "output_tokens": 342, "elapsed_seconds": 5.873690375010483, "metadata": {"question": "How many women are depicted on the stamp labeled \"WOMEN IN OUR ARMED SERVICES\" in the bottom row? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.9703}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 34, "image": "d0b99ce8-8a3b-4d1d-98d4-b34137b19f08_input-input-1768805031339-rs4dctz0p_png_jpg.rf.bbdc304ba5f61cb85ea823bce3f757b9.jpg", "expected": "28", "predicted": "28", "correct": true, "input_tokens": 1170, "output_tokens": 1235, "elapsed_seconds": 12.119514166028239, "metadata": {"question": "How many stamps in the display show a 3\u00a2 (three-cent) denomination? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 12.2154}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 35, "image": "d0b99ce8-8a3b-4d1d-98d4-b34137b19f08_input-input-1768805031339-rs4dctz0p_png_jpg.rf.bbdc304ba5f61cb85ea823bce3f757b9.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1165, "output_tokens": 1237, "elapsed_seconds": 16.521357916062698, "metadata": {"question": "How many predominantly purple or violet stamps are visible in the display? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 16.683}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 36, "image": "3cc9dff1-0e00-4900-9013-00d7b1be6a09_input-input-1779942886819-2wwj3rkhy_png_jpg.rf.2b0fb18f9f03d4dead03ef88ead19450.jpg", "expected": "8", "predicted": "8", "correct": true, "input_tokens": 1183, "output_tokens": 411, "elapsed_seconds": 5.813669541967101, "metadata": {"question": "How many runners are visible on the track? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.8308}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 37, "image": "76bbc10c-bed4-41d3-8622-035eeabc5596_input-input-1769119181178-immkwkrpv_png_jpg.rf.9e45cd4a9160b72762d9d1091e937e81.jpg", "expected": "22", "predicted": "22", "correct": true, "input_tokens": 1137, "output_tokens": 4202, "elapsed_seconds": 31.17356595804449, "metadata": {"question": "How many lens-box slots in the display grid are empty? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 31.2847}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 38, "image": "1e37f04c-e13e-4595-8119-71801b83924e_png_jpg.rf.88d495e552edc70aa4a9fd4db0b6f2a4.jpg", "expected": "8", "predicted": "7", "correct": false, "input_tokens": 1153, "output_tokens": 644, "elapsed_seconds": 9.59562170796562, "metadata": {"question": "How many grey boxes are provided for entering the \"Amount Enclosed\" in the payment stub at the bottom right? Output the final count as a single integer (e.g., 3).", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 9.7178}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 39, "image": "f0db827b-688f-45e5-b6d0-991c49108a4e_input-input-1771013479121-jj5wfnran_png_jpg.rf.78c029e9c9141b5c35558d767cf94681.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1143, "output_tokens": 694, "elapsed_seconds": 10.984827749896795, "metadata": {"question": "How many abnormal or defective candies are visible in the image? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.0521}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 40, "image": "c1300d50-94fc-4081-b871-8338cef58e16_input-input-1778695950497-jbtexy630_png_jpg.rf.21ec9923369fc4380c0cc3c8aba1d9c1.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1179, "output_tokens": 360, "elapsed_seconds": 6.290531541919336, "metadata": {"question": "How many players wearing blue jerseys are visible on the ice? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.3305}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 41, "image": "0212eb3d-e4b1-4ef4-9204-e920654bf677_input-input-1778110710064-oqhw5zz8j_png_jpg.rf.2faf044c9ba90e69aaaae8eaceafe6d4.jpg", "expected": "seven", "predicted": "seven", "correct": true, "input_tokens": 1150, "output_tokens": 708, "elapsed_seconds": 9.142605207976885, "metadata": {"question": "How many green \"Price Cut\" promotional tags are visible across the entire display? Answer strictly with a spelled-out word (e.g., \"one\", \"two\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.2637}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 42, "image": "4409ba1c-5b55-47e4-8fb3-ed245021d0bb_input-input-1776892569933-6scj88bzo_png_jpg.rf.92cb44b13f714204abf3b13ac1190860.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1147, "output_tokens": 407, "elapsed_seconds": 6.1772620000410825, "metadata": {"question": "How many item refund lines with negative pound amounts are listed under 'Online Return'? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.2484}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 43, "image": "20c6f561-491b-44ca-a96a-8f6d926b8307_png_jpg.rf.1bae1396728629da79305bdaaffa6fbb.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1142, "output_tokens": 447, "elapsed_seconds": 15.242503458051942, "metadata": {"question": "How many bottles are crushed or dented? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 15.2802}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 44, "image": "097f7d52-0fd1-4385-9ec4-65a9ee83d81b_input-input-1776852419339-bqf3nz0wx_png_jpg.rf.4a2de88188f1ad2a3d4b04855bc2f1c7.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1162, "output_tokens": 313, "elapsed_seconds": 16.762552666012198, "metadata": {"question": "How many bright green cars are parked in the visible parking spaces? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 16.8654}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 45, "image": "097f7d52-0fd1-4385-9ec4-65a9ee83d81b_input-input-1776852419339-bqf3nz0wx_png_jpg.rf.4a2de88188f1ad2a3d4b04855bc2f1c7.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1171, "output_tokens": 562, "elapsed_seconds": 9.847219874965958, "metadata": {"question": "How many empty parking spaces are located between the cyan car and the bright green car in their shared parking row? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.9502}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 46, "image": "5bab6379-3de6-4deb-9698-97dad64b505c_input-input-1769090638596-o1nehu2dd_png_jpg.rf.4104781e673773b15de3cf099cb4d3f2.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1194, "output_tokens": 543, "elapsed_seconds": 9.554879250004888, "metadata": {"question": "If each wheelchair accessibility symbol marks one accessible parking space, how many accessible spaces are indicated by the symbols next to the building? Output the final count as a single integer (e.g., 4).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.6216}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 47, "image": "f4155be5-83b2-4214-89e0-b21906a781bd_png_jpg.rf.3cc4abb5bae56fbe2c8c798fcfbe7077.jpg", "expected": "11", "predicted": "11", "correct": true, "input_tokens": 1161, "output_tokens": 594, "elapsed_seconds": 9.632656374946237, "metadata": {"question": "How many times does the quantity \"1\" appear in the leftmost column of the itemized list? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.6949}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 48, "image": "dce06136-2d24-422b-a3b6-e100c9a4bad1_input-input-1780992231793-0zf74ymfd_png_jpg.rf.c2823e6e198b2039f5cd13aa75bebfbc.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1167, "output_tokens": 388, "elapsed_seconds": 6.4147741249762475, "metadata": {"question": "How many cartoon characters are depicted in the orange section on the right side of the package? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.4635}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 49, "image": "19f45907-d682-40cf-bb87-9133dc873871_input-input-1778506438615-gyarfruw4_png_jpg.rf.f1250911547dbb93c6724fe40a099c66.jpg", "expected": "9", "predicted": "9", "correct": true, "input_tokens": 1192, "output_tokens": 843, "elapsed_seconds": 11.014615959022194, "metadata": {"question": "How many digits make up the serial number (S/N) printed at the top center of the meter? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.0364}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 50, "image": "e060bfb7-df44-43fd-83e7-fd09ac632863_png_jpg.rf.62cf5b61db7a2b02ec021799866318b3.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1145, "output_tokens": 990, "elapsed_seconds": 17.85349266708363, "metadata": {"question": "How many vertical books with predominantly orange spines are visible on the shelf? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 17.9246}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 51, "image": "05d94928-3491-4ab4-92be-1784b5cbcb18_png_jpg.rf.c75a6c9ea5b6c16f44c39b7dc8f66216.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1188, "output_tokens": 489, "elapsed_seconds": 6.610365999978967, "metadata": {"question": "How many leaf nodes (nodes with no children) are there in the binary tree shown at the top? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.6273}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 52, "image": "1478f318-0372-4bbb-bf28-6cab8c447a59_input-input-1771868885484-ua18hynnb_png_jpg.rf.48494081054afe07b3a29e3cf54058fe.jpg", "expected": "8", "predicted": "8", "correct": true, "input_tokens": 1137, "output_tokens": 445, "elapsed_seconds": 7.089162167045288, "metadata": {"question": "How many Butterfinger candy bars are visible in column E4? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.1621}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 53, "image": "1478f318-0372-4bbb-bf28-6cab8c447a59_input-input-1771868885484-ua18hynnb_png_jpg.rf.48494081054afe07b3a29e3cf54058fe.jpg", "expected": "0", "predicted": "0", "correct": true, "input_tokens": 1146, "output_tokens": 541, "elapsed_seconds": 9.063737457967363, "metadata": {"question": "How many completely empty coil columns are visible between the yellow Butterfinger wrappers and the orange Reese's wrappers? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.1342}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 54, "image": "1478f318-0372-4bbb-bf28-6cab8c447a59_input-input-1771868885484-ua18hynnb_png_jpg.rf.48494081054afe07b3a29e3cf54058fe.jpg", "expected": "22", "predicted": "21", "correct": false, "input_tokens": 1145, "output_tokens": 1334, "elapsed_seconds": 12.32078729197383, "metadata": {"question": "How many M&M's packages are visible in the machine? Output the final count as a single integer (e.g., 3).", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 12.3909}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 55, "image": "01c39aed-93d2-4359-917a-1d3f4dbc60a1_png_jpg.rf.c61a3470f20d4496fda1707eaa58d82d.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1149, "output_tokens": 2584, "elapsed_seconds": 30.201452709035948, "metadata": {"question": "How many blue bolts labeled with the number 23 are shown in the exploded diagram? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 30.2273}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 56, "image": "396282bc-0d15-4e53-8803-7e5b69c1bef0_input-input-1773381099913-tgin8sfew_png_jpg.rf.adc85e75f7f5793f05427ecdddc06a07.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1185, "output_tokens": 307, "elapsed_seconds": 5.420998708927073, "metadata": {"question": "How many rectangular metal trays holding dessert cups are visible on the right side of the table? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.4725}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 57, "image": "396282bc-0d15-4e53-8803-7e5b69c1bef0_input-input-1773381099913-tgin8sfew_png_jpg.rf.adc85e75f7f5793f05427ecdddc06a07.jpg", "expected": "12", "predicted": "12", "correct": true, "input_tokens": 1188, "output_tokens": 343, "elapsed_seconds": 5.327998916036449, "metadata": {"question": "How many dessert cups are in the metal tray immediately to the right of the blue-striped paper sheets? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.3763}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 58, "image": "1b7f1694-d9e1-496c-aed6-ea6baec4088a_png_jpg.rf.ccb9d030f1b587dd97bba12f6b7ec184.jpg", "expected": "8", "predicted": "8", "correct": true, "input_tokens": 1171, "output_tokens": 178, "elapsed_seconds": 4.36185700003989, "metadata": {"question": "How many large airplanes are parked on the main concrete apron in the upper half of the image? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.4281}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 59, "image": "be797fcf-056b-44b2-a1da-b667c3185959_input-input-1773768805936-h107qsgy2_png_jpg.rf.866a72ab13a76381b59fc1a3280496d2.jpg", "expected": "10", "predicted": "5", "correct": false, "input_tokens": 1159, "output_tokens": 1312, "elapsed_seconds": 17.175299875088967, "metadata": {"question": "How many devices can fit inside a single front-to-back column of the large tilted black tray in the foreground? Output the final count as a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 17.2352}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 60, "image": "be797fcf-056b-44b2-a1da-b667c3185959_input-input-1773768805936-h107qsgy2_png_jpg.rf.866a72ab13a76381b59fc1a3280496d2.jpg", "expected": "22", "predicted": "23", "correct": false, "input_tokens": 1152, "output_tokens": 5742, "elapsed_seconds": 56.68149912497029, "metadata": {"question": "How many empty slots in total are in the large tilted black tray in the foreground? Output the final count as a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 56.7211}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 61, "image": "122ef3fe-1e8b-4790-b9e1-721a9c9d4b86_input-input-1771297576554-0xpo2dsmn_png_jpg.rf.1efcee784f71e642e8048f85c6a89ecd.jpg", "expected": "8", "predicted": "8", "correct": true, "input_tokens": 1141, "output_tokens": 686, "elapsed_seconds": 10.214678833028302, "metadata": {"question": "How many orange packets are grouped together at the top of the stack inside the box? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.3371}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 62, "image": "36e6af65-9cf0-4b16-b5b2-2dbf5d54ffae_input-input-1778190001786-w0937ikxt_png_jpg.rf.b036a53ece9920b07b8682ac35c9bbd2.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1178, "output_tokens": 1164, "elapsed_seconds": 15.32998179201968, "metadata": {"question": "How many blue cables are plugged into the ports on the left side of the white panel? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 15.3625}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 63, "image": "36e6af65-9cf0-4b16-b5b2-2dbf5d54ffae_input-input-1778190001786-w0937ikxt_png_jpg.rf.b036a53ece9920b07b8682ac35c9bbd2.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1174, "output_tokens": 364, "elapsed_seconds": 6.070600540959276, "metadata": {"question": "How many yellow cables are plugged into the ports on the white panel? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.0996}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 64, "image": "f0c68933-64c5-49e6-8845-707afdc32a4e_input-input-1776058768062-tn8vkqrxk_png_jpg.rf.c66fb27d88e528755f22742fcdf00c02.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1165, "output_tokens": 300, "elapsed_seconds": 6.351983041968197, "metadata": {"question": "How many people are visible in the image? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.4416}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 65, "image": "3afd1b0e-33ad-4f1a-9ddf-b204107eb230_input-input-1776059274665-zosrz5qle_png_jpg.rf.70231d8dad35e71bcd49d5cb93b2dfc9.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1162, "output_tokens": 238, "elapsed_seconds": 5.450604583951645, "metadata": {"question": "How many people are currently seated at the desks in the office? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.4839}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 66, "image": "43a0837b-dfa3-4160-8487-71e9daeb5b99_input-input-1775138372300-avlcj3a0a_png_jpg.rf.1902113cf3fe1dd691ba2bbab90fd88b.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1171, "output_tokens": 323, "elapsed_seconds": 5.326043833978474, "metadata": {"question": "How many large dark symbols are visible in the vertical line of markings on the light gray panel? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.3321}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 67, "image": "26aea39a-beea-43d5-bbd5-c716b698ebaf_png_jpg.rf.b43c70658245fd13f38d8b30e5bdc44d.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1165, "output_tokens": 463, "elapsed_seconds": 6.982690291944891, "metadata": {"question": "How many shrink-wrapped packs of coke bottles with blue caps are visible on the pallet? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.0032}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 68, "image": "c23e413c-57e2-4e59-946e-b511526184a9_input-input-1769617613579-ed7ya5fh1_png_jpg.rf.da6ffdada344ce2ab64d1676e0515d25.jpg", "expected": "12", "predicted": "12", "correct": true, "input_tokens": 1179, "output_tokens": 1219, "elapsed_seconds": 19.178285665926524, "metadata": {"question": "How many flat metal brackets are visible inside the blue bin? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 19.241}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 69, "image": "c23e413c-57e2-4e59-946e-b511526184a9_input-input-1769617613579-ed7ya5fh1_png_jpg.rf.da6ffdada344ce2ab64d1676e0515d25.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1183, "output_tokens": 344, "elapsed_seconds": 6.234931915998459, "metadata": {"question": "How many circular holes are clearly visible on the topmost, diagonally oriented metal bracket? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.2999}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 70, "image": "0f07f712-f1ce-4b90-963e-7849862d827d_input-input-1779919148318-fedk52cp8_png_jpg.rf.616ee6530fd2873ab0d91b0ddd7140cc.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1175, "output_tokens": 315, "elapsed_seconds": 4.531625707983039, "metadata": {"question": "How many square bricks with exactly four studs are visible on the white surface? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.5644}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 71, "image": "bcd8aa70-e59a-4911-96e8-53c5b846dd6b_png_jpg.rf.fc6a6dff57ebb1f0a09fcd9fda6122f4.jpg", "expected": "10", "predicted": "10", "correct": true, "input_tokens": 1190, "output_tokens": 304, "elapsed_seconds": 5.371866083005443, "metadata": {"question": "How many distinct size codes are listed in the 'SIZE' column on the far left of the table? Output the final count as a single integer (e.g., 5).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.437}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 72, "image": "3c78fcf8-2bce-4157-ac2c-e52f999a378c_input-input-1768902949600-rch94svhd_png_jpg.rf.6b75c0351af58e8707a0b1d75af18aa8.jpg", "expected": "three", "predicted": "three", "correct": true, "input_tokens": 1147, "output_tokens": 239, "elapsed_seconds": 5.6924465839983895, "metadata": {"question": "How many red digits are present on the main rolling counter display? Answer strictly with a spelled-out word (e.g., \"one\", \"two\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.8135}} +{"model": "gemini-4-argon", "effort": "high", "task": "counting", "timestamp": "20261013_064713", "index": 73, "image": "621387a6-d868-4912-90f1-7e8abd9df0c0_png_jpg.rf.daf83e0999a9864ca1e0ed08dade1191.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1172, "output_tokens": 301, "elapsed_seconds": 6.164350125007331, "metadata": {"question": "How many small circular subdials are visible on the blue Tissot watch face? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.2652}} diff --git a/results/counting_gemini-4-argon_low_20261012_223834.jsonl b/results/counting_gemini-4-argon_low_20261012_223834.jsonl new file mode 100644 index 0000000..eaeec70 --- /dev/null +++ b/results/counting_gemini-4-argon_low_20261012_223834.jsonl @@ -0,0 +1,74 @@ +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 0, "image": "f0d4c0bf-3a21-41a5-b0c2-c33b94feadb4_input-input-1771859752511-bk56l0pe1_png_jpg.rf.4af05c5fc1bdd4926894682e94c4b7b1.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1139, "output_tokens": 5, "elapsed_seconds": 6.454030334018171, "metadata": {"question": "How many vertical metal locking bars run down the back of the container doors? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.5589}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 1, "image": "63b26fc7-8349-4fbc-a0ad-e9d46bf28979_input-input-1769103313709-j5jk2uqdi_png_jpg.rf.a410e069cd682ad340d9504a57fce39d.jpg", "expected": "8", "predicted": "9", "correct": false, "input_tokens": 1145, "output_tokens": 5, "elapsed_seconds": 4.862667249981314, "metadata": {"question": "How many of the orange blister pockets in the pack are open (already emptied, with no capsule remaining)? Output the final count as a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 4.9195}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 2, "image": "6c44004a-c031-4396-a931-9a863a8802d2_png_jpg.rf.78a91a481b9044d0bc75154221a7ac45.jpg", "expected": "six", "predicted": "six", "correct": true, "input_tokens": 1147, "output_tokens": 5, "elapsed_seconds": 3.0445563750108704, "metadata": {"question": "How many circular icons are visible in the horizontal menu bar directly above the \"Expenses (UK-Bank)\" title? Answer strictly with a spelled-out word.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1078}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 3, "image": "4f2b6aab-f1c1-4f16-b3ca-bbe4d399a897_input-input-1773381300920-0uaf4zno9_png_jpg.rf.0a20aa6813607730b27a12060a642dbb.jpg", "expected": "15", "predicted": "15", "correct": true, "input_tokens": 1185, "output_tokens": 6, "elapsed_seconds": 3.9922970830230042, "metadata": {"question": "How many small, square white bowls are arranged on the fully visible metal tray positioned in the top right area of the image? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.0417}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 4, "image": "26584325-f95e-41e4-9f4b-99afc5ff078d_png_jpg.rf.9a3624b41cfb86cab6301d79694fbf6d.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1153, "output_tokens": 5, "elapsed_seconds": 3.1563516249880195, "metadata": {"question": "How many checkmarks are visible in the \"NEED\" column of the \"SERVICES:\" table on the left? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.238}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 5, "image": "c56ead6c-0697-4216-a27e-fbd28c19aaed_input-input-1781393738001-e3qhlmchi_png_jpg.rf.9ab190943804e3d54fa1136c7886e772.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1186, "output_tokens": 5, "elapsed_seconds": 2.657357665942982, "metadata": {"question": "How many distinct horizontal tire sidewalls are stacked in the image? Output the final count as a single integer (e.g., 5).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7035}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 6, "image": "003df5d3-f7ea-4567-8055-8733d3b39a27_input-input-1780991138503-fltoik3ij_png_jpg.rf.cf4d02bc406dbf7decf23b5678d8956d.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1169, "output_tokens": 5, "elapsed_seconds": 3.235189958009869, "metadata": {"question": "How many workers are visible in the warehouse? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.2897}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 7, "image": "4cf40711-7419-4961-8920-88715c8b601f_input-input-1777166096829-s1ov2lkxh_png_jpg.rf.990c23aecc8702b0cfa58e90a8441f46.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1180, "output_tokens": 5, "elapsed_seconds": 2.703499958035536, "metadata": {"question": "How many rectangular black plates with a 2x4 stud configuration are clearly visible in the image? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7597}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 8, "image": "4cf40711-7419-4961-8920-88715c8b601f_input-input-1777166096829-s1ov2lkxh_png_jpg.rf.990c23aecc8702b0cfa58e90a8441f46.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1178, "output_tokens": 5, "elapsed_seconds": 2.346733208047226, "metadata": {"question": "How many individual round white tiles printed with a black eye pattern are visible in the assortment? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.4011}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 9, "image": "4cf40711-7419-4961-8920-88715c8b601f_input-input-1777166096829-s1ov2lkxh_png_jpg.rf.990c23aecc8702b0cfa58e90a8441f46.jpg", "expected": "2", "predicted": "3", "correct": false, "input_tokens": 1175, "output_tokens": 5, "elapsed_seconds": 3.618106000008993, "metadata": {"question": "How many distinct, whole animal figures are visible among the scattered LEGO pieces? Output the final count as a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 3.6719}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 10, "image": "33299f4b-1857-4400-a31d-677ecd2c277a_input-input-1771415890481-7pfiombu0_png_jpg.rf.5df1a4fcae6b4c6acd16051c660f783f.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1151, "output_tokens": 5, "elapsed_seconds": 2.9903933750465512, "metadata": {"question": "How many red directional arrows are painted on the large grey pipes in the foreground? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.0511}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 11, "image": "48fa18cc-eee4-4e13-9647-318c7155420c_png_jpg.rf.8a732d4c26a0198146370e4b98476551.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1143, "output_tokens": 5, "elapsed_seconds": 3.39500841696281, "metadata": {"question": "How many rows in the main table have a blue background? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.4699}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 12, "image": "c9b00dcb-e093-43d9-baf8-f1971ff328af_input-input-1769103177177-3x5hfzwbp_png_jpg.rf.5036bc0df858e9911be4fa08e6b80a40.jpg", "expected": "22", "predicted": "22", "correct": true, "input_tokens": 1145, "output_tokens": 6, "elapsed_seconds": 2.8051950000226498, "metadata": {"question": "How many intact capsules remain in the blister pack across all rows? Output the final count as a single integer (e.g., 15).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8572}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 13, "image": "056e17c9-9b46-496a-9cf8-c1b54bd73216_png_jpg.rf.1e94f330e43f2a21d12e145273ac3f94.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1163, "output_tokens": 5, "elapsed_seconds": 3.388610083027743, "metadata": {"question": "How many files or folders are listed directly inside the \"app\" directory in the file explorer on the right side? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.4273}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 14, "image": "db35c41c-a9ed-41bc-96cf-60186d715477_input-input-1774653477270-a4j6j7v6e_png_jpg.rf.81a4c1ac6254af08518ea58b5137ed9c.jpg", "expected": "8", "predicted": "8", "correct": true, "input_tokens": 1184, "output_tokens": 5, "elapsed_seconds": 4.8873863340122625, "metadata": {"question": "How many workers are standing or kneeling directly on the rebar grid inside the excavated pit? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.9354}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 15, "image": "db35c41c-a9ed-41bc-96cf-60186d715477_input-input-1774653477270-a4j6j7v6e_png_jpg.rf.81a4c1ac6254af08518ea58b5137ed9c.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1185, "output_tokens": 5, "elapsed_seconds": 3.2100960420211777, "metadata": {"question": "How many workers are standing together on the dirt level directly in front of the white crane? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.2586}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 16, "image": "db35c41c-a9ed-41bc-96cf-60186d715477_input-input-1774653477270-a4j6j7v6e_png_jpg.rf.81a4c1ac6254af08518ea58b5137ed9c.jpg", "expected": "0", "predicted": "0", "correct": true, "input_tokens": 1180, "output_tokens": 5, "elapsed_seconds": 3.1144319999730214, "metadata": {"question": "How many workers are not wearing head protection (a hard hat)? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1657}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 17, "image": "1b4e5426-d109-4398-8e45-ab1dc497980f_png_jpg.rf.77e9ea61b4fcfb4286af38f0a02211c8.jpg", "expected": "12", "predicted": "12", "correct": true, "input_tokens": 1182, "output_tokens": 6, "elapsed_seconds": 3.3868670830270275, "metadata": {"question": "How many red circles are drawn around lowercase letters in the table? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.4245}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 18, "image": "21a6d806-d16e-4452-a2e3-7fa520bd671d_input-input-1769360430457-50a88jpis_png_jpg.rf.686e67d06dd1f487be5dc88fff5e7bc3.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1149, "output_tokens": 5, "elapsed_seconds": 3.7268393330741674, "metadata": {"question": "How many individual screws are visibly resting inside the plastic bin labeled \"DIN 912 M8 x 30\"? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.8464}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 19, "image": "020c3db8-dcc2-40e0-bf26-c874edb1612b_png_jpg.rf.ac73a13cb831f0a2f94ea3824f41a47d.jpg", "expected": "11", "predicted": "11", "correct": true, "input_tokens": 1176, "output_tokens": 6, "elapsed_seconds": 2.716427083942108, "metadata": {"question": "How many items are listed under the 'DRY GOODS' section header in the table? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7719}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 20, "image": "1ad1c779-b18f-4aaa-9cf0-6155cb19879b_input-input-1769444672197-ug2bdacps_png_jpg.rf.f23a8a19a08199a726f99d7a1549be63.jpg", "expected": "15", "predicted": "15", "correct": true, "input_tokens": 1167, "output_tokens": 6, "elapsed_seconds": 2.943080583936535, "metadata": {"question": "How many round pills are visible in the blister pack on the right side of the image? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9579}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 21, "image": "2e15743f-6bc8-4cce-8ec0-66eea3a6ca2f_input-input-1779607392296-qwxxnltdb_png_jpg.rf.608695980e866c196074445d3c3449ce.jpg", "expected": "0", "predicted": "0", "correct": true, "input_tokens": 1178, "output_tokens": 5, "elapsed_seconds": 2.7129074160475284, "metadata": {"question": "How many water bottles with blue caps are visible on the bottom shelf? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7509}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 22, "image": "214d5a30-f38a-4509-bd53-1e3ea49f9c8b_png_jpg.rf.b1c6d3fc8fd27d8b69dffde40d80310c.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1149, "output_tokens": 5, "elapsed_seconds": 2.827155083999969, "metadata": {"question": "How many blue pen marks/ticks are visible in the 'WITHDRAWALS' column? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8913}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 23, "image": "403906f1-d101-4a15-b0b3-43f90df6b13e_input-input-1780067976213-f8fki9qzj_png_jpg.rf.aa03e3dd2a567694bf8badd574e32ae3.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1174, "output_tokens": 5, "elapsed_seconds": 3.4485151669941843, "metadata": {"question": "How many white tables are located between the facing seats in the carriage? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.5415}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 24, "image": "0f7a1b1b-b0f9-4dba-9659-0455701b7a3f_png_jpg.rf.ab769bd32b93fa65b7df75c6ec1ef3cd.jpg", "expected": "five", "predicted": "five", "correct": true, "input_tokens": 1152, "output_tokens": 5, "elapsed_seconds": 2.4582365829264745, "metadata": {"question": "How many checkmarks are written in the column labeled \"4\" in the evaluation table? Answer strictly with a spelled-out word (e.g., \"one\", \"two\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.4726}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 25, "image": "d489f405-013e-4e8b-968a-1d9db2060050_png_jpg.rf.be190d9e1ea972d827d8c52c3391f1fd.jpg", "expected": "9", "predicted": "9", "correct": true, "input_tokens": 1167, "output_tokens": 5, "elapsed_seconds": 2.2489887500414625, "metadata": {"question": "How many handwritten checkmarks are visible in the left margin next to the line numbers (LNO)? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.2637}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 26, "image": "1b411f19-76c2-4028-b3ab-832256b9fb5e_input-input-1779844698418-8rz7uj6gh_png_jpg.rf.4d2907a675bb4eca3f3ae3a40822117f.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1144, "output_tokens": 5, "elapsed_seconds": 3.8949602079810575, "metadata": {"question": "How many brown cardboard boxes prominently labeled \"Real-Kill\" are visible on the top storage shelf? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.0111}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 27, "image": "1b411f19-76c2-4028-b3ab-832256b9fb5e_input-input-1779844698418-8rz7uj6gh_png_jpg.rf.4d2907a675bb4eca3f3ae3a40822117f.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1146, "output_tokens": 5, "elapsed_seconds": 4.060128999990411, "metadata": {"question": "How many green and white \"Bug B-gon\" jugs are visible on the fourth shelf from the top? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.1767}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 28, "image": "02eaa1d1-ffaf-46f3-b9ef-b7ab3551b738_input-input-1777971607736-x33g85l3u_png_jpg.rf.4056fc9b233d537c46ed68224f3f2e27.jpg", "expected": "15", "predicted": "8", "correct": false, "input_tokens": 1176, "output_tokens": 5, "elapsed_seconds": 2.983113416004926, "metadata": {"question": "How many tiles are missing from the wall? Output the final count as a single integer (e.g., 3).", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 3.0423}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 29, "image": "25e6ed9c-2d37-4533-8021-977770aa97d1_input-input-1780691294811-oql9y0w9f_png_jpg.rf.36701f4301765d1397e29a5f8d8f9471.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1172, "output_tokens": 5, "elapsed_seconds": 2.795617333962582, "metadata": {"question": "How many green gas cylinders are present in the truck bed? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.849}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 30, "image": "76d985c4-8ba2-4660-871b-939bba136896_input-input-1774985116190-hco0gpvmt_png_jpg.rf.e2a22365c854e0212534e5a8675bb4c9.jpg", "expected": "7", "predicted": "7", "correct": true, "input_tokens": 1167, "output_tokens": 5, "elapsed_seconds": 4.175239457981661, "metadata": {"question": "How many bullet holes are located entirely or partially within the large black circular area of the target? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.2725}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 31, "image": "76d985c4-8ba2-4660-871b-939bba136896_input-input-1774985116190-hco0gpvmt_png_jpg.rf.e2a22365c854e0212534e5a8675bb4c9.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1170, "output_tokens": 5, "elapsed_seconds": 3.190074500045739, "metadata": {"question": "How many bullet holes are visibly piercing the off-white outer area in the lower right quadrant of the image? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.2863}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 32, "image": "0e3ca6d7-7301-474e-bad2-3bc3a9aa7140_input-input-1780425165960-zu9asq91k_png_jpg.rf.7dd6f9559d3f83a1e451dd68ab07f639.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1181, "output_tokens": 5, "elapsed_seconds": 3.540142541984096, "metadata": {"question": "How many large, circular white feeding trays are attached to the thicker pipe running diagonally on the right side? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.5941}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 33, "image": "d0b99ce8-8a3b-4d1d-98d4-b34137b19f08_input-input-1768805031339-rs4dctz0p_png_jpg.rf.bbdc304ba5f61cb85ea823bce3f757b9.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1174, "output_tokens": 5, "elapsed_seconds": 5.018726582988165, "metadata": {"question": "How many women are depicted on the stamp labeled \"WOMEN IN OUR ARMED SERVICES\" in the bottom row? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.1168}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 34, "image": "d0b99ce8-8a3b-4d1d-98d4-b34137b19f08_input-input-1768805031339-rs4dctz0p_png_jpg.rf.bbdc304ba5f61cb85ea823bce3f757b9.jpg", "expected": "28", "predicted": "28", "correct": true, "input_tokens": 1170, "output_tokens": 6, "elapsed_seconds": 6.412741792039014, "metadata": {"question": "How many stamps in the display show a 3\u00a2 (three-cent) denomination? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.5089}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 35, "image": "d0b99ce8-8a3b-4d1d-98d4-b34137b19f08_input-input-1768805031339-rs4dctz0p_png_jpg.rf.bbdc304ba5f61cb85ea823bce3f757b9.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1165, "output_tokens": 5, "elapsed_seconds": 6.02129079203587, "metadata": {"question": "How many predominantly purple or violet stamps are visible in the display? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.1177}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 36, "image": "3cc9dff1-0e00-4900-9013-00d7b1be6a09_input-input-1779942886819-2wwj3rkhy_png_jpg.rf.2b0fb18f9f03d4dead03ef88ead19450.jpg", "expected": "8", "predicted": "8", "correct": true, "input_tokens": 1183, "output_tokens": 5, "elapsed_seconds": 3.6156336669810116, "metadata": {"question": "How many runners are visible on the track? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.6358}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 37, "image": "76bbc10c-bed4-41d3-8622-035eeabc5596_input-input-1769119181178-immkwkrpv_png_jpg.rf.9e45cd4a9160b72762d9d1091e937e81.jpg", "expected": "22", "predicted": "20", "correct": false, "input_tokens": 1137, "output_tokens": 6, "elapsed_seconds": 3.6876095830230042, "metadata": {"question": "How many lens-box slots in the display grid are empty? Output the final count as a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 3.8005}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 38, "image": "1e37f04c-e13e-4595-8119-71801b83924e_png_jpg.rf.88d495e552edc70aa4a9fd4db0b6f2a4.jpg", "expected": "8", "predicted": "7", "correct": false, "input_tokens": 1153, "output_tokens": 5, "elapsed_seconds": 3.7117123330244794, "metadata": {"question": "How many grey boxes are provided for entering the \"Amount Enclosed\" in the payment stub at the bottom right? Output the final count as a single integer (e.g., 3).", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 3.8307}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 39, "image": "f0db827b-688f-45e5-b6d0-991c49108a4e_input-input-1771013479121-jj5wfnran_png_jpg.rf.78c029e9c9141b5c35558d767cf94681.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1143, "output_tokens": 5, "elapsed_seconds": 3.708344583050348, "metadata": {"question": "How many abnormal or defective candies are visible in the image? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.7749}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 40, "image": "c1300d50-94fc-4081-b871-8338cef58e16_input-input-1778695950497-jbtexy630_png_jpg.rf.21ec9923369fc4380c0cc3c8aba1d9c1.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1179, "output_tokens": 5, "elapsed_seconds": 3.1141210830537602, "metadata": {"question": "How many players wearing blue jerseys are visible on the ice? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1567}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 41, "image": "0212eb3d-e4b1-4ef4-9204-e920654bf677_input-input-1778110710064-oqhw5zz8j_png_jpg.rf.2faf044c9ba90e69aaaae8eaceafe6d4.jpg", "expected": "seven", "predicted": "seven", "correct": true, "input_tokens": 1150, "output_tokens": 5, "elapsed_seconds": 4.523231417057104, "metadata": {"question": "How many green \"Price Cut\" promotional tags are visible across the entire display? Answer strictly with a spelled-out word (e.g., \"one\", \"two\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.6468}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 42, "image": "4409ba1c-5b55-47e4-8fb3-ed245021d0bb_input-input-1776892569933-6scj88bzo_png_jpg.rf.92cb44b13f714204abf3b13ac1190860.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1147, "output_tokens": 5, "elapsed_seconds": 3.120993416989222, "metadata": {"question": "How many item refund lines with negative pound amounts are listed under 'Online Return'? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1921}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 43, "image": "20c6f561-491b-44ca-a96a-8f6d926b8307_png_jpg.rf.1bae1396728629da79305bdaaffa6fbb.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1142, "output_tokens": 5, "elapsed_seconds": 2.9475468340096995, "metadata": {"question": "How many bottles are crushed or dented? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9877}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 44, "image": "097f7d52-0fd1-4385-9ec4-65a9ee83d81b_input-input-1776852419339-bqf3nz0wx_png_jpg.rf.4a2de88188f1ad2a3d4b04855bc2f1c7.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1162, "output_tokens": 5, "elapsed_seconds": 5.398480040952563, "metadata": {"question": "How many bright green cars are parked in the visible parking spaces? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.6648}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 45, "image": "097f7d52-0fd1-4385-9ec4-65a9ee83d81b_input-input-1776852419339-bqf3nz0wx_png_jpg.rf.4a2de88188f1ad2a3d4b04855bc2f1c7.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1171, "output_tokens": 5, "elapsed_seconds": 3.662853917106986, "metadata": {"question": "How many empty parking spaces are located between the cyan car and the bright green car in their shared parking row? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.7662}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 46, "image": "5bab6379-3de6-4deb-9698-97dad64b505c_input-input-1769090638596-o1nehu2dd_png_jpg.rf.4104781e673773b15de3cf099cb4d3f2.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1194, "output_tokens": 5, "elapsed_seconds": 2.6676576669560745, "metadata": {"question": "If each wheelchair accessibility symbol marks one accessible parking space, how many accessible spaces are indicated by the symbols next to the building? Output the final count as a single integer (e.g., 4).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7347}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 47, "image": "f4155be5-83b2-4214-89e0-b21906a781bd_png_jpg.rf.3cc4abb5bae56fbe2c8c798fcfbe7077.jpg", "expected": "11", "predicted": "11", "correct": true, "input_tokens": 1161, "output_tokens": 6, "elapsed_seconds": 2.97544808301609, "metadata": {"question": "How many times does the quantity \"1\" appear in the leftmost column of the itemized list? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.036}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 48, "image": "dce06136-2d24-422b-a3b6-e100c9a4bad1_input-input-1780992231793-0zf74ymfd_png_jpg.rf.c2823e6e198b2039f5cd13aa75bebfbc.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1167, "output_tokens": 5, "elapsed_seconds": 2.689100332907401, "metadata": {"question": "How many cartoon characters are depicted in the orange section on the right side of the package? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7385}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 49, "image": "19f45907-d682-40cf-bb87-9133dc873871_input-input-1778506438615-gyarfruw4_png_jpg.rf.f1250911547dbb93c6724fe40a099c66.jpg", "expected": "9", "predicted": "9", "correct": true, "input_tokens": 1192, "output_tokens": 5, "elapsed_seconds": 2.5587897920049727, "metadata": {"question": "How many digits make up the serial number (S/N) printed at the top center of the meter? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.5841}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 50, "image": "e060bfb7-df44-43fd-83e7-fd09ac632863_png_jpg.rf.62cf5b61db7a2b02ec021799866318b3.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1145, "output_tokens": 5, "elapsed_seconds": 3.9942071250407025, "metadata": {"question": "How many vertical books with predominantly orange spines are visible on the shelf? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.0671}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 51, "image": "05d94928-3491-4ab4-92be-1784b5cbcb18_png_jpg.rf.c75a6c9ea5b6c16f44c39b7dc8f66216.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1188, "output_tokens": 5, "elapsed_seconds": 2.2783240420976654, "metadata": {"question": "How many leaf nodes (nodes with no children) are there in the binary tree shown at the top? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.295}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 52, "image": "1478f318-0372-4bbb-bf28-6cab8c447a59_input-input-1771868885484-ua18hynnb_png_jpg.rf.48494081054afe07b3a29e3cf54058fe.jpg", "expected": "8", "predicted": "8", "correct": true, "input_tokens": 1137, "output_tokens": 5, "elapsed_seconds": 5.659823708934709, "metadata": {"question": "How many Butterfinger candy bars are visible in column E4? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.7292}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 53, "image": "1478f318-0372-4bbb-bf28-6cab8c447a59_input-input-1771868885484-ua18hynnb_png_jpg.rf.48494081054afe07b3a29e3cf54058fe.jpg", "expected": "0", "predicted": "0", "correct": true, "input_tokens": 1146, "output_tokens": 5, "elapsed_seconds": 7.633994666975923, "metadata": {"question": "How many completely empty coil columns are visible between the yellow Butterfinger wrappers and the orange Reese's wrappers? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.7024}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 54, "image": "1478f318-0372-4bbb-bf28-6cab8c447a59_input-input-1771868885484-ua18hynnb_png_jpg.rf.48494081054afe07b3a29e3cf54058fe.jpg", "expected": "22", "predicted": "21", "correct": false, "input_tokens": 1145, "output_tokens": 6, "elapsed_seconds": 3.629772041924298, "metadata": {"question": "How many M&M's packages are visible in the machine? Output the final count as a single integer (e.g., 3).", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 3.7002}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 55, "image": "01c39aed-93d2-4359-917a-1d3f4dbc60a1_png_jpg.rf.c61a3470f20d4496fda1707eaa58d82d.jpg", "expected": "4", "predicted": "8", "correct": false, "input_tokens": 1149, "output_tokens": 5, "elapsed_seconds": 3.010518875089474, "metadata": {"question": "How many blue bolts labeled with the number 23 are shown in the exploded diagram? Output the final count as a single integer (e.g., 3).", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 3.0394}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 56, "image": "396282bc-0d15-4e53-8803-7e5b69c1bef0_input-input-1773381099913-tgin8sfew_png_jpg.rf.adc85e75f7f5793f05427ecdddc06a07.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1185, "output_tokens": 5, "elapsed_seconds": 3.172959459014237, "metadata": {"question": "How many rectangular metal trays holding dessert cups are visible on the right side of the table? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.2219}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 57, "image": "396282bc-0d15-4e53-8803-7e5b69c1bef0_input-input-1773381099913-tgin8sfew_png_jpg.rf.adc85e75f7f5793f05427ecdddc06a07.jpg", "expected": "12", "predicted": "12", "correct": true, "input_tokens": 1188, "output_tokens": 6, "elapsed_seconds": 3.453928165952675, "metadata": {"question": "How many dessert cups are in the metal tray immediately to the right of the blue-striped paper sheets? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.5001}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 58, "image": "1b7f1694-d9e1-496c-aed6-ea6baec4088a_png_jpg.rf.ccb9d030f1b587dd97bba12f6b7ec184.jpg", "expected": "8", "predicted": "8", "correct": true, "input_tokens": 1171, "output_tokens": 5, "elapsed_seconds": 2.9279487089952454, "metadata": {"question": "How many large airplanes are parked on the main concrete apron in the upper half of the image? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9919}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 59, "image": "be797fcf-056b-44b2-a1da-b667c3185959_input-input-1773768805936-h107qsgy2_png_jpg.rf.866a72ab13a76381b59fc1a3280496d2.jpg", "expected": "10", "predicted": "4", "correct": false, "input_tokens": 1159, "output_tokens": 5, "elapsed_seconds": 2.629552249913104, "metadata": {"question": "How many devices can fit inside a single front-to-back column of the large tilted black tray in the foreground? Output the final count as a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 2.6822}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 60, "image": "be797fcf-056b-44b2-a1da-b667c3185959_input-input-1773768805936-h107qsgy2_png_jpg.rf.866a72ab13a76381b59fc1a3280496d2.jpg", "expected": "22", "predicted": "14", "correct": false, "input_tokens": 1152, "output_tokens": 6, "elapsed_seconds": 2.838782540988177, "metadata": {"question": "How many empty slots in total are in the large tilted black tray in the foreground? Output the final count as a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 2.8925}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 61, "image": "122ef3fe-1e8b-4790-b9e1-721a9c9d4b86_input-input-1771297576554-0xpo2dsmn_png_jpg.rf.1efcee784f71e642e8048f85c6a89ecd.jpg", "expected": "8", "predicted": "8", "correct": true, "input_tokens": 1141, "output_tokens": 5, "elapsed_seconds": 3.085143583943136, "metadata": {"question": "How many orange packets are grouped together at the top of the stack inside the box? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.206}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 62, "image": "36e6af65-9cf0-4b16-b5b2-2dbf5d54ffae_input-input-1778190001786-w0937ikxt_png_jpg.rf.b036a53ece9920b07b8682ac35c9bbd2.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1178, "output_tokens": 5, "elapsed_seconds": 3.1571735410252586, "metadata": {"question": "How many blue cables are plugged into the ports on the left side of the white panel? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.188}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 63, "image": "36e6af65-9cf0-4b16-b5b2-2dbf5d54ffae_input-input-1778190001786-w0937ikxt_png_jpg.rf.b036a53ece9920b07b8682ac35c9bbd2.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1174, "output_tokens": 5, "elapsed_seconds": 2.105589459068142, "metadata": {"question": "How many yellow cables are plugged into the ports on the white panel? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.1344}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 64, "image": "f0c68933-64c5-49e6-8845-707afdc32a4e_input-input-1776058768062-tn8vkqrxk_png_jpg.rf.c66fb27d88e528755f22742fcdf00c02.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1165, "output_tokens": 5, "elapsed_seconds": 3.513973499997519, "metadata": {"question": "How many people are visible in the image? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.5913}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 65, "image": "3afd1b0e-33ad-4f1a-9ddf-b204107eb230_input-input-1776059274665-zosrz5qle_png_jpg.rf.70231d8dad35e71bcd49d5cb93b2dfc9.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1162, "output_tokens": 5, "elapsed_seconds": 2.7594947080360726, "metadata": {"question": "How many people are currently seated at the desks in the office? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7958}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 66, "image": "43a0837b-dfa3-4160-8487-71e9daeb5b99_input-input-1775138372300-avlcj3a0a_png_jpg.rf.1902113cf3fe1dd691ba2bbab90fd88b.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1171, "output_tokens": 5, "elapsed_seconds": 1.9305584999965504, "metadata": {"question": "How many large dark symbols are visible in the vertical line of markings on the light gray panel? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 1.9389}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 67, "image": "26aea39a-beea-43d5-bbd5-c716b698ebaf_png_jpg.rf.b43c70658245fd13f38d8b30e5bdc44d.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1165, "output_tokens": 5, "elapsed_seconds": 3.154197249910794, "metadata": {"question": "How many shrink-wrapped packs of coke bottles with blue caps are visible on the pallet? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1767}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 68, "image": "c23e413c-57e2-4e59-946e-b511526184a9_input-input-1769617613579-ed7ya5fh1_png_jpg.rf.da6ffdada344ce2ab64d1676e0515d25.jpg", "expected": "12", "predicted": "11", "correct": false, "input_tokens": 1179, "output_tokens": 6, "elapsed_seconds": 3.001201083068736, "metadata": {"question": "How many flat metal brackets are visible inside the blue bin? Output the final count as a single integer (e.g., 3).", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 3.0611}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 69, "image": "c23e413c-57e2-4e59-946e-b511526184a9_input-input-1769617613579-ed7ya5fh1_png_jpg.rf.da6ffdada344ce2ab64d1676e0515d25.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1183, "output_tokens": 5, "elapsed_seconds": 2.895520874997601, "metadata": {"question": "How many circular holes are clearly visible on the topmost, diagonally oriented metal bracket? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9551}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 70, "image": "0f07f712-f1ce-4b90-963e-7849862d827d_input-input-1779919148318-fedk52cp8_png_jpg.rf.616ee6530fd2873ab0d91b0ddd7140cc.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1175, "output_tokens": 5, "elapsed_seconds": 2.999909333069809, "metadata": {"question": "How many square bricks with exactly four studs are visible on the white surface? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.0317}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 71, "image": "bcd8aa70-e59a-4911-96e8-53c5b846dd6b_png_jpg.rf.fc6a6dff57ebb1f0a09fcd9fda6122f4.jpg", "expected": "10", "predicted": "10", "correct": true, "input_tokens": 1190, "output_tokens": 6, "elapsed_seconds": 3.1344282920472324, "metadata": {"question": "How many distinct size codes are listed in the 'SIZE' column on the far left of the table? Output the final count as a single integer (e.g., 5).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.2008}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 72, "image": "3c78fcf8-2bce-4157-ac2c-e52f999a378c_input-input-1768902949600-rch94svhd_png_jpg.rf.6b75c0351af58e8707a0b1d75af18aa8.jpg", "expected": "three", "predicted": "three", "correct": true, "input_tokens": 1147, "output_tokens": 5, "elapsed_seconds": 6.126062000053935, "metadata": {"question": "How many red digits are present on the main rolling counter display? Answer strictly with a spelled-out word (e.g., \"one\", \"two\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.244}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223834", "index": 73, "image": "621387a6-d868-4912-90f1-7e8abd9df0c0_png_jpg.rf.daf83e0999a9864ca1e0ed08dade1191.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1172, "output_tokens": 5, "elapsed_seconds": 3.577343750046566, "metadata": {"question": "How many small circular subdials are visible on the blue Tissot watch face? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.6737}} diff --git a/results/counting_gemini-4-argon_low_20261012_223838.jsonl b/results/counting_gemini-4-argon_low_20261012_223838.jsonl new file mode 100644 index 0000000..73da048 --- /dev/null +++ b/results/counting_gemini-4-argon_low_20261012_223838.jsonl @@ -0,0 +1,74 @@ +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 0, "image": "f0d4c0bf-3a21-41a5-b0c2-c33b94feadb4_input-input-1771859752511-bk56l0pe1_png_jpg.rf.4af05c5fc1bdd4926894682e94c4b7b1.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1139, "output_tokens": 5, "elapsed_seconds": 3.822261375025846, "metadata": {"question": "How many vertical metal locking bars run down the back of the container doors? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.9279}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 1, "image": "63b26fc7-8349-4fbc-a0ad-e9d46bf28979_input-input-1769103313709-j5jk2uqdi_png_jpg.rf.a410e069cd682ad340d9504a57fce39d.jpg", "expected": "8", "predicted": "9", "correct": false, "input_tokens": 1145, "output_tokens": 5, "elapsed_seconds": 2.988057833048515, "metadata": {"question": "How many of the orange blister pockets in the pack are open (already emptied, with no capsule remaining)? Output the final count as a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 3.0467}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 2, "image": "6c44004a-c031-4396-a931-9a863a8802d2_png_jpg.rf.78a91a481b9044d0bc75154221a7ac45.jpg", "expected": "six", "predicted": "Six", "correct": true, "input_tokens": 1147, "output_tokens": 5, "elapsed_seconds": 3.2719439170323312, "metadata": {"question": "How many circular icons are visible in the horizontal menu bar directly above the \"Expenses (UK-Bank)\" title? Answer strictly with a spelled-out word.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.3333}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 3, "image": "4f2b6aab-f1c1-4f16-b3ca-bbe4d399a897_input-input-1773381300920-0uaf4zno9_png_jpg.rf.0a20aa6813607730b27a12060a642dbb.jpg", "expected": "15", "predicted": "15", "correct": true, "input_tokens": 1185, "output_tokens": 6, "elapsed_seconds": 2.677141790976748, "metadata": {"question": "How many small, square white bowls are arranged on the fully visible metal tray positioned in the top right area of the image? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7263}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 4, "image": "26584325-f95e-41e4-9f4b-99afc5ff078d_png_jpg.rf.9a3624b41cfb86cab6301d79694fbf6d.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1153, "output_tokens": 5, "elapsed_seconds": 3.3194250829983503, "metadata": {"question": "How many checkmarks are visible in the \"NEED\" column of the \"SERVICES:\" table on the left? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.4001}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 5, "image": "c56ead6c-0697-4216-a27e-fbd28c19aaed_input-input-1781393738001-e3qhlmchi_png_jpg.rf.9ab190943804e3d54fa1136c7886e772.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1186, "output_tokens": 5, "elapsed_seconds": 3.0778125000651926, "metadata": {"question": "How many distinct horizontal tire sidewalls are stacked in the image? Output the final count as a single integer (e.g., 5).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1262}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 6, "image": "003df5d3-f7ea-4567-8055-8733d3b39a27_input-input-1780991138503-fltoik3ij_png_jpg.rf.cf4d02bc406dbf7decf23b5678d8956d.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1169, "output_tokens": 5, "elapsed_seconds": 4.253653333056718, "metadata": {"question": "How many workers are visible in the warehouse? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.3093}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 7, "image": "4cf40711-7419-4961-8920-88715c8b601f_input-input-1777166096829-s1ov2lkxh_png_jpg.rf.990c23aecc8702b0cfa58e90a8441f46.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1180, "output_tokens": 5, "elapsed_seconds": 3.7354787499643862, "metadata": {"question": "How many rectangular black plates with a 2x4 stud configuration are clearly visible in the image? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.7897}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 8, "image": "4cf40711-7419-4961-8920-88715c8b601f_input-input-1777166096829-s1ov2lkxh_png_jpg.rf.990c23aecc8702b0cfa58e90a8441f46.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1178, "output_tokens": 5, "elapsed_seconds": 3.1677367909578606, "metadata": {"question": "How many individual round white tiles printed with a black eye pattern are visible in the assortment? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.2221}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 9, "image": "4cf40711-7419-4961-8920-88715c8b601f_input-input-1777166096829-s1ov2lkxh_png_jpg.rf.990c23aecc8702b0cfa58e90a8441f46.jpg", "expected": "2", "predicted": "3", "correct": false, "input_tokens": 1175, "output_tokens": 5, "elapsed_seconds": 2.750201708986424, "metadata": {"question": "How many distinct, whole animal figures are visible among the scattered LEGO pieces? Output the final count as a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 2.8041}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 10, "image": "33299f4b-1857-4400-a31d-677ecd2c277a_input-input-1771415890481-7pfiombu0_png_jpg.rf.5df1a4fcae6b4c6acd16051c660f783f.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1151, "output_tokens": 5, "elapsed_seconds": 2.96390729106497, "metadata": {"question": "How many red directional arrows are painted on the large grey pipes in the foreground? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.0224}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 11, "image": "48fa18cc-eee4-4e13-9647-318c7155420c_png_jpg.rf.8a732d4c26a0198146370e4b98476551.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1143, "output_tokens": 5, "elapsed_seconds": 2.903778165928088, "metadata": {"question": "How many rows in the main table have a blue background? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9785}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 12, "image": "c9b00dcb-e093-43d9-baf8-f1971ff328af_input-input-1769103177177-3x5hfzwbp_png_jpg.rf.5036bc0df858e9911be4fa08e6b80a40.jpg", "expected": "22", "predicted": "22", "correct": true, "input_tokens": 1145, "output_tokens": 6, "elapsed_seconds": 3.2310468750074506, "metadata": {"question": "How many intact capsules remain in the blister pack across all rows? Output the final count as a single integer (e.g., 15).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.2838}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 13, "image": "056e17c9-9b46-496a-9cf8-c1b54bd73216_png_jpg.rf.1e94f330e43f2a21d12e145273ac3f94.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1163, "output_tokens": 5, "elapsed_seconds": 2.0459551670355722, "metadata": {"question": "How many files or folders are listed directly inside the \"app\" directory in the file explorer on the right side? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.0864}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 14, "image": "db35c41c-a9ed-41bc-96cf-60186d715477_input-input-1774653477270-a4j6j7v6e_png_jpg.rf.81a4c1ac6254af08518ea58b5137ed9c.jpg", "expected": "8", "predicted": "8", "correct": true, "input_tokens": 1184, "output_tokens": 5, "elapsed_seconds": 3.51973854098469, "metadata": {"question": "How many workers are standing or kneeling directly on the rebar grid inside the excavated pit? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.5686}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 15, "image": "db35c41c-a9ed-41bc-96cf-60186d715477_input-input-1774653477270-a4j6j7v6e_png_jpg.rf.81a4c1ac6254af08518ea58b5137ed9c.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1185, "output_tokens": 5, "elapsed_seconds": 4.478144000051543, "metadata": {"question": "How many workers are standing together on the dirt level directly in front of the white crane? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.5259}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 16, "image": "db35c41c-a9ed-41bc-96cf-60186d715477_input-input-1774653477270-a4j6j7v6e_png_jpg.rf.81a4c1ac6254af08518ea58b5137ed9c.jpg", "expected": "0", "predicted": "0", "correct": true, "input_tokens": 1180, "output_tokens": 5, "elapsed_seconds": 4.690318499924615, "metadata": {"question": "How many workers are not wearing head protection (a hard hat)? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.742}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 17, "image": "1b4e5426-d109-4398-8e45-ab1dc497980f_png_jpg.rf.77e9ea61b4fcfb4286af38f0a02211c8.jpg", "expected": "12", "predicted": "12", "correct": true, "input_tokens": 1182, "output_tokens": 6, "elapsed_seconds": 2.623674041009508, "metadata": {"question": "How many red circles are drawn around lowercase letters in the table? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.6606}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 18, "image": "21a6d806-d16e-4452-a2e3-7fa520bd671d_input-input-1769360430457-50a88jpis_png_jpg.rf.686e67d06dd1f487be5dc88fff5e7bc3.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1149, "output_tokens": 5, "elapsed_seconds": 3.739522624993697, "metadata": {"question": "How many individual screws are visibly resting inside the plastic bin labeled \"DIN 912 M8 x 30\"? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.8608}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 19, "image": "020c3db8-dcc2-40e0-bf26-c874edb1612b_png_jpg.rf.ac73a13cb831f0a2f94ea3824f41a47d.jpg", "expected": "11", "predicted": "11", "correct": true, "input_tokens": 1176, "output_tokens": 6, "elapsed_seconds": 2.454914959031157, "metadata": {"question": "How many items are listed under the 'DRY GOODS' section header in the table? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.5108}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 20, "image": "1ad1c779-b18f-4aaa-9cf0-6155cb19879b_input-input-1769444672197-ug2bdacps_png_jpg.rf.f23a8a19a08199a726f99d7a1549be63.jpg", "expected": "15", "predicted": "15", "correct": true, "input_tokens": 1167, "output_tokens": 6, "elapsed_seconds": 1.9943315829150379, "metadata": {"question": "How many round pills are visible in the blister pack on the right side of the image? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.0123}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 21, "image": "2e15743f-6bc8-4cce-8ec0-66eea3a6ca2f_input-input-1779607392296-qwxxnltdb_png_jpg.rf.608695980e866c196074445d3c3449ce.jpg", "expected": "0", "predicted": "0", "correct": true, "input_tokens": 1178, "output_tokens": 5, "elapsed_seconds": 2.516510457964614, "metadata": {"question": "How many water bottles with blue caps are visible on the bottom shelf? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.5523}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 22, "image": "214d5a30-f38a-4509-bd53-1e3ea49f9c8b_png_jpg.rf.b1c6d3fc8fd27d8b69dffde40d80310c.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1149, "output_tokens": 5, "elapsed_seconds": 3.7372756249969825, "metadata": {"question": "How many blue pen marks/ticks are visible in the 'WITHDRAWALS' column? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.8013}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 23, "image": "403906f1-d101-4a15-b0b3-43f90df6b13e_input-input-1780067976213-f8fki9qzj_png_jpg.rf.aa03e3dd2a567694bf8badd574e32ae3.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1174, "output_tokens": 5, "elapsed_seconds": 4.001723583089188, "metadata": {"question": "How many white tables are located between the facing seats in the carriage? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.0951}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 24, "image": "0f7a1b1b-b0f9-4dba-9659-0455701b7a3f_png_jpg.rf.ab769bd32b93fa65b7df75c6ec1ef3cd.jpg", "expected": "five", "predicted": "five", "correct": true, "input_tokens": 1152, "output_tokens": 5, "elapsed_seconds": 2.390269457944669, "metadata": {"question": "How many checkmarks are written in the column labeled \"4\" in the evaluation table? Answer strictly with a spelled-out word (e.g., \"one\", \"two\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.4076}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 25, "image": "d489f405-013e-4e8b-968a-1d9db2060050_png_jpg.rf.be190d9e1ea972d827d8c52c3391f1fd.jpg", "expected": "9", "predicted": "9", "correct": true, "input_tokens": 1167, "output_tokens": 5, "elapsed_seconds": 2.1444792499532923, "metadata": {"question": "How many handwritten checkmarks are visible in the left margin next to the line numbers (LNO)? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.1597}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 26, "image": "1b411f19-76c2-4028-b3ab-832256b9fb5e_input-input-1779844698418-8rz7uj6gh_png_jpg.rf.4d2907a675bb4eca3f3ae3a40822117f.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1144, "output_tokens": 5, "elapsed_seconds": 10.322070750058629, "metadata": {"question": "How many brown cardboard boxes prominently labeled \"Real-Kill\" are visible on the top storage shelf? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.4366}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 27, "image": "1b411f19-76c2-4028-b3ab-832256b9fb5e_input-input-1779844698418-8rz7uj6gh_png_jpg.rf.4d2907a675bb4eca3f3ae3a40822117f.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1146, "output_tokens": 5, "elapsed_seconds": 3.4682877500308678, "metadata": {"question": "How many green and white \"Bug B-gon\" jugs are visible on the fourth shelf from the top? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.5828}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 28, "image": "02eaa1d1-ffaf-46f3-b9ef-b7ab3551b738_input-input-1777971607736-x33g85l3u_png_jpg.rf.4056fc9b233d537c46ed68224f3f2e27.jpg", "expected": "15", "predicted": "7", "correct": false, "input_tokens": 1176, "output_tokens": 5, "elapsed_seconds": 2.3654797909548506, "metadata": {"question": "How many tiles are missing from the wall? Output the final count as a single integer (e.g., 3).", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 2.4194}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 29, "image": "25e6ed9c-2d37-4533-8021-977770aa97d1_input-input-1780691294811-oql9y0w9f_png_jpg.rf.36701f4301765d1397e29a5f8d8f9471.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1172, "output_tokens": 5, "elapsed_seconds": 2.668830665992573, "metadata": {"question": "How many green gas cylinders are present in the truck bed? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7196}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 30, "image": "76d985c4-8ba2-4660-871b-939bba136896_input-input-1774985116190-hco0gpvmt_png_jpg.rf.e2a22365c854e0212534e5a8675bb4c9.jpg", "expected": "7", "predicted": "7", "correct": true, "input_tokens": 1167, "output_tokens": 5, "elapsed_seconds": 2.960230208002031, "metadata": {"question": "How many bullet holes are located entirely or partially within the large black circular area of the target? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.0557}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 31, "image": "76d985c4-8ba2-4660-871b-939bba136896_input-input-1774985116190-hco0gpvmt_png_jpg.rf.e2a22365c854e0212534e5a8675bb4c9.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1170, "output_tokens": 5, "elapsed_seconds": 3.0805082080187276, "metadata": {"question": "How many bullet holes are visibly piercing the off-white outer area in the lower right quadrant of the image? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1785}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 32, "image": "0e3ca6d7-7301-474e-bad2-3bc3a9aa7140_input-input-1780425165960-zu9asq91k_png_jpg.rf.7dd6f9559d3f83a1e451dd68ab07f639.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1181, "output_tokens": 5, "elapsed_seconds": 3.0280831250129268, "metadata": {"question": "How many large, circular white feeding trays are attached to the thicker pipe running diagonally on the right side? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.0814}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 33, "image": "d0b99ce8-8a3b-4d1d-98d4-b34137b19f08_input-input-1768805031339-rs4dctz0p_png_jpg.rf.bbdc304ba5f61cb85ea823bce3f757b9.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1174, "output_tokens": 5, "elapsed_seconds": 4.141501709003933, "metadata": {"question": "How many women are depicted on the stamp labeled \"WOMEN IN OUR ARMED SERVICES\" in the bottom row? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.2383}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 34, "image": "d0b99ce8-8a3b-4d1d-98d4-b34137b19f08_input-input-1768805031339-rs4dctz0p_png_jpg.rf.bbdc304ba5f61cb85ea823bce3f757b9.jpg", "expected": "28", "predicted": "28", "correct": true, "input_tokens": 1170, "output_tokens": 6, "elapsed_seconds": 7.981601124978624, "metadata": {"question": "How many stamps in the display show a 3\u00a2 (three-cent) denomination? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.0794}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 35, "image": "d0b99ce8-8a3b-4d1d-98d4-b34137b19f08_input-input-1768805031339-rs4dctz0p_png_jpg.rf.bbdc304ba5f61cb85ea823bce3f757b9.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1165, "output_tokens": 5, "elapsed_seconds": 4.112315166043118, "metadata": {"question": "How many predominantly purple or violet stamps are visible in the display? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.2105}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 36, "image": "3cc9dff1-0e00-4900-9013-00d7b1be6a09_input-input-1779942886819-2wwj3rkhy_png_jpg.rf.2b0fb18f9f03d4dead03ef88ead19450.jpg", "expected": "8", "predicted": "8", "correct": true, "input_tokens": 1183, "output_tokens": 5, "elapsed_seconds": 1.9606824159855023, "metadata": {"question": "How many runners are visible on the track? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 1.9815}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 37, "image": "76bbc10c-bed4-41d3-8622-035eeabc5596_input-input-1769119181178-immkwkrpv_png_jpg.rf.9e45cd4a9160b72762d9d1091e937e81.jpg", "expected": "22", "predicted": "20", "correct": false, "input_tokens": 1137, "output_tokens": 6, "elapsed_seconds": 3.6616497499635443, "metadata": {"question": "How many lens-box slots in the display grid are empty? Output the final count as a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 3.7738}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 38, "image": "1e37f04c-e13e-4595-8119-71801b83924e_png_jpg.rf.88d495e552edc70aa4a9fd4db0b6f2a4.jpg", "expected": "8", "predicted": "7", "correct": false, "input_tokens": 1153, "output_tokens": 5, "elapsed_seconds": 4.045750958030112, "metadata": {"question": "How many grey boxes are provided for entering the \"Amount Enclosed\" in the payment stub at the bottom right? Output the final count as a single integer (e.g., 3).", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 4.1645}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 39, "image": "f0db827b-688f-45e5-b6d0-991c49108a4e_input-input-1771013479121-jj5wfnran_png_jpg.rf.78c029e9c9141b5c35558d767cf94681.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1143, "output_tokens": 5, "elapsed_seconds": 2.6230707499198616, "metadata": {"question": "How many abnormal or defective candies are visible in the image? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.6918}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 40, "image": "c1300d50-94fc-4081-b871-8338cef58e16_input-input-1778695950497-jbtexy630_png_jpg.rf.21ec9923369fc4380c0cc3c8aba1d9c1.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1179, "output_tokens": 5, "elapsed_seconds": 3.8326545419404283, "metadata": {"question": "How many players wearing blue jerseys are visible on the ice? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.8713}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 41, "image": "0212eb3d-e4b1-4ef4-9204-e920654bf677_input-input-1778110710064-oqhw5zz8j_png_jpg.rf.2faf044c9ba90e69aaaae8eaceafe6d4.jpg", "expected": "seven", "predicted": "seven", "correct": true, "input_tokens": 1150, "output_tokens": 5, "elapsed_seconds": 4.221084958058782, "metadata": {"question": "How many green \"Price Cut\" promotional tags are visible across the entire display? Answer strictly with a spelled-out word (e.g., \"one\", \"two\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.3404}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 42, "image": "4409ba1c-5b55-47e4-8fb3-ed245021d0bb_input-input-1776892569933-6scj88bzo_png_jpg.rf.92cb44b13f714204abf3b13ac1190860.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1147, "output_tokens": 5, "elapsed_seconds": 2.965273500070907, "metadata": {"question": "How many item refund lines with negative pound amounts are listed under 'Online Return'? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.0375}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 43, "image": "20c6f561-491b-44ca-a96a-8f6d926b8307_png_jpg.rf.1bae1396728629da79305bdaaffa6fbb.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1142, "output_tokens": 5, "elapsed_seconds": 2.8589113749330863, "metadata": {"question": "How many bottles are crushed or dented? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8988}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 44, "image": "097f7d52-0fd1-4385-9ec4-65a9ee83d81b_input-input-1776852419339-bqf3nz0wx_png_jpg.rf.4a2de88188f1ad2a3d4b04855bc2f1c7.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1162, "output_tokens": 5, "elapsed_seconds": 4.346926874946803, "metadata": {"question": "How many bright green cars are parked in the visible parking spaces? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.6045}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 45, "image": "097f7d52-0fd1-4385-9ec4-65a9ee83d81b_input-input-1776852419339-bqf3nz0wx_png_jpg.rf.4a2de88188f1ad2a3d4b04855bc2f1c7.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1171, "output_tokens": 5, "elapsed_seconds": 7.585291417082772, "metadata": {"question": "How many empty parking spaces are located between the cyan car and the bright green car in their shared parking row? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.6977}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 46, "image": "5bab6379-3de6-4deb-9698-97dad64b505c_input-input-1769090638596-o1nehu2dd_png_jpg.rf.4104781e673773b15de3cf099cb4d3f2.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1194, "output_tokens": 5, "elapsed_seconds": 3.0804881670046598, "metadata": {"question": "If each wheelchair accessibility symbol marks one accessible parking space, how many accessible spaces are indicated by the symbols next to the building? Output the final count as a single integer (e.g., 4).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1461}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 47, "image": "f4155be5-83b2-4214-89e0-b21906a781bd_png_jpg.rf.3cc4abb5bae56fbe2c8c798fcfbe7077.jpg", "expected": "11", "predicted": "11", "correct": true, "input_tokens": 1161, "output_tokens": 6, "elapsed_seconds": 4.803532166988589, "metadata": {"question": "How many times does the quantity \"1\" appear in the leftmost column of the itemized list? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.8638}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 48, "image": "dce06136-2d24-422b-a3b6-e100c9a4bad1_input-input-1780992231793-0zf74ymfd_png_jpg.rf.c2823e6e198b2039f5cd13aa75bebfbc.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1167, "output_tokens": 5, "elapsed_seconds": 5.173611624981277, "metadata": {"question": "How many cartoon characters are depicted in the orange section on the right side of the package? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.2218}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 49, "image": "19f45907-d682-40cf-bb87-9133dc873871_input-input-1778506438615-gyarfruw4_png_jpg.rf.f1250911547dbb93c6724fe40a099c66.jpg", "expected": "9", "predicted": "9", "correct": true, "input_tokens": 1192, "output_tokens": 5, "elapsed_seconds": 3.030830333940685, "metadata": {"question": "How many digits make up the serial number (S/N) printed at the top center of the meter? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.0531}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 50, "image": "e060bfb7-df44-43fd-83e7-fd09ac632863_png_jpg.rf.62cf5b61db7a2b02ec021799866318b3.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1145, "output_tokens": 5, "elapsed_seconds": 2.716471374966204, "metadata": {"question": "How many vertical books with predominantly orange spines are visible on the shelf? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7879}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 51, "image": "05d94928-3491-4ab4-92be-1784b5cbcb18_png_jpg.rf.c75a6c9ea5b6c16f44c39b7dc8f66216.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1188, "output_tokens": 5, "elapsed_seconds": 2.3370086669456214, "metadata": {"question": "How many leaf nodes (nodes with no children) are there in the binary tree shown at the top? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.3542}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 52, "image": "1478f318-0372-4bbb-bf28-6cab8c447a59_input-input-1771868885484-ua18hynnb_png_jpg.rf.48494081054afe07b3a29e3cf54058fe.jpg", "expected": "8", "predicted": "8", "correct": true, "input_tokens": 1137, "output_tokens": 5, "elapsed_seconds": 4.1763238329440355, "metadata": {"question": "How many Butterfinger candy bars are visible in column E4? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.2474}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 53, "image": "1478f318-0372-4bbb-bf28-6cab8c447a59_input-input-1771868885484-ua18hynnb_png_jpg.rf.48494081054afe07b3a29e3cf54058fe.jpg", "expected": "0", "predicted": "0", "correct": true, "input_tokens": 1146, "output_tokens": 5, "elapsed_seconds": 4.169183541089296, "metadata": {"question": "How many completely empty coil columns are visible between the yellow Butterfinger wrappers and the orange Reese's wrappers? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.2386}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 54, "image": "1478f318-0372-4bbb-bf28-6cab8c447a59_input-input-1771868885484-ua18hynnb_png_jpg.rf.48494081054afe07b3a29e3cf54058fe.jpg", "expected": "22", "predicted": "21", "correct": false, "input_tokens": 1145, "output_tokens": 6, "elapsed_seconds": 6.145997292012908, "metadata": {"question": "How many M&M's packages are visible in the machine? Output the final count as a single integer (e.g., 3).", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 6.2147}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 55, "image": "01c39aed-93d2-4359-917a-1d3f4dbc60a1_png_jpg.rf.c61a3470f20d4496fda1707eaa58d82d.jpg", "expected": "4", "predicted": "6", "correct": false, "input_tokens": 1149, "output_tokens": 5, "elapsed_seconds": 4.338506583939306, "metadata": {"question": "How many blue bolts labeled with the number 23 are shown in the exploded diagram? Output the final count as a single integer (e.g., 3).", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 4.3691}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 56, "image": "396282bc-0d15-4e53-8803-7e5b69c1bef0_input-input-1773381099913-tgin8sfew_png_jpg.rf.adc85e75f7f5793f05427ecdddc06a07.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1185, "output_tokens": 5, "elapsed_seconds": 3.3219759999774396, "metadata": {"question": "How many rectangular metal trays holding dessert cups are visible on the right side of the table? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.3672}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 57, "image": "396282bc-0d15-4e53-8803-7e5b69c1bef0_input-input-1773381099913-tgin8sfew_png_jpg.rf.adc85e75f7f5793f05427ecdddc06a07.jpg", "expected": "12", "predicted": "12", "correct": true, "input_tokens": 1188, "output_tokens": 6, "elapsed_seconds": 3.2203955419827253, "metadata": {"question": "How many dessert cups are in the metal tray immediately to the right of the blue-striped paper sheets? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.2657}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 58, "image": "1b7f1694-d9e1-496c-aed6-ea6baec4088a_png_jpg.rf.ccb9d030f1b587dd97bba12f6b7ec184.jpg", "expected": "8", "predicted": "8", "correct": true, "input_tokens": 1171, "output_tokens": 5, "elapsed_seconds": 2.943686540937051, "metadata": {"question": "How many large airplanes are parked on the main concrete apron in the upper half of the image? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.0069}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 59, "image": "be797fcf-056b-44b2-a1da-b667c3185959_input-input-1773768805936-h107qsgy2_png_jpg.rf.866a72ab13a76381b59fc1a3280496d2.jpg", "expected": "10", "predicted": "4", "correct": false, "input_tokens": 1159, "output_tokens": 5, "elapsed_seconds": 2.6787585830315948, "metadata": {"question": "How many devices can fit inside a single front-to-back column of the large tilted black tray in the foreground? Output the final count as a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 2.7315}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 60, "image": "be797fcf-056b-44b2-a1da-b667c3185959_input-input-1773768805936-h107qsgy2_png_jpg.rf.866a72ab13a76381b59fc1a3280496d2.jpg", "expected": "22", "predicted": "24", "correct": false, "input_tokens": 1152, "output_tokens": 6, "elapsed_seconds": 2.8882125839591026, "metadata": {"question": "How many empty slots in total are in the large tilted black tray in the foreground? Output the final count as a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 2.9409}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 61, "image": "122ef3fe-1e8b-4790-b9e1-721a9c9d4b86_input-input-1771297576554-0xpo2dsmn_png_jpg.rf.1efcee784f71e642e8048f85c6a89ecd.jpg", "expected": "8", "predicted": "9", "correct": false, "input_tokens": 1141, "output_tokens": 5, "elapsed_seconds": 3.4813489579828456, "metadata": {"question": "How many orange packets are grouped together at the top of the stack inside the box? Output the final count as a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 3.6025}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 62, "image": "36e6af65-9cf0-4b16-b5b2-2dbf5d54ffae_input-input-1778190001786-w0937ikxt_png_jpg.rf.b036a53ece9920b07b8682ac35c9bbd2.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1178, "output_tokens": 5, "elapsed_seconds": 2.3371045000385493, "metadata": {"question": "How many blue cables are plugged into the ports on the left side of the white panel? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.3665}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 63, "image": "36e6af65-9cf0-4b16-b5b2-2dbf5d54ffae_input-input-1778190001786-w0937ikxt_png_jpg.rf.b036a53ece9920b07b8682ac35c9bbd2.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1174, "output_tokens": 5, "elapsed_seconds": 3.340410167002119, "metadata": {"question": "How many yellow cables are plugged into the ports on the white panel? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.3728}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 64, "image": "f0c68933-64c5-49e6-8845-707afdc32a4e_input-input-1776058768062-tn8vkqrxk_png_jpg.rf.c66fb27d88e528755f22742fcdf00c02.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1165, "output_tokens": 5, "elapsed_seconds": 3.60426166607067, "metadata": {"question": "How many people are visible in the image? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.6793}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 65, "image": "3afd1b0e-33ad-4f1a-9ddf-b204107eb230_input-input-1776059274665-zosrz5qle_png_jpg.rf.70231d8dad35e71bcd49d5cb93b2dfc9.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1162, "output_tokens": 5, "elapsed_seconds": 2.8972862500231713, "metadata": {"question": "How many people are currently seated at the desks in the office? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9347}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 66, "image": "43a0837b-dfa3-4160-8487-71e9daeb5b99_input-input-1775138372300-avlcj3a0a_png_jpg.rf.1902113cf3fe1dd691ba2bbab90fd88b.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1171, "output_tokens": 5, "elapsed_seconds": 2.00454237498343, "metadata": {"question": "How many large dark symbols are visible in the vertical line of markings on the light gray panel? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.0109}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 67, "image": "26aea39a-beea-43d5-bbd5-c716b698ebaf_png_jpg.rf.b43c70658245fd13f38d8b30e5bdc44d.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1165, "output_tokens": 5, "elapsed_seconds": 2.731978583964519, "metadata": {"question": "How many shrink-wrapped packs of coke bottles with blue caps are visible on the pallet? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7523}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 68, "image": "c23e413c-57e2-4e59-946e-b511526184a9_input-input-1769617613579-ed7ya5fh1_png_jpg.rf.da6ffdada344ce2ab64d1676e0515d25.jpg", "expected": "12", "predicted": "12", "correct": true, "input_tokens": 1179, "output_tokens": 6, "elapsed_seconds": 2.5951102080289274, "metadata": {"question": "How many flat metal brackets are visible inside the blue bin? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.6573}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 69, "image": "c23e413c-57e2-4e59-946e-b511526184a9_input-input-1769617613579-ed7ya5fh1_png_jpg.rf.da6ffdada344ce2ab64d1676e0515d25.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1183, "output_tokens": 5, "elapsed_seconds": 3.432365541928448, "metadata": {"question": "How many circular holes are clearly visible on the topmost, diagonally oriented metal bracket? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.4917}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 70, "image": "0f07f712-f1ce-4b90-963e-7849862d827d_input-input-1779919148318-fedk52cp8_png_jpg.rf.616ee6530fd2873ab0d91b0ddd7140cc.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1175, "output_tokens": 5, "elapsed_seconds": 2.156793500063941, "metadata": {"question": "How many square bricks with exactly four studs are visible on the white surface? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.19}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 71, "image": "bcd8aa70-e59a-4911-96e8-53c5b846dd6b_png_jpg.rf.fc6a6dff57ebb1f0a09fcd9fda6122f4.jpg", "expected": "10", "predicted": "10", "correct": true, "input_tokens": 1190, "output_tokens": 6, "elapsed_seconds": 4.1860084580257535, "metadata": {"question": "How many distinct size codes are listed in the 'SIZE' column on the far left of the table? Output the final count as a single integer (e.g., 5).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.2518}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 72, "image": "3c78fcf8-2bce-4157-ac2c-e52f999a378c_input-input-1768902949600-rch94svhd_png_jpg.rf.6b75c0351af58e8707a0b1d75af18aa8.jpg", "expected": "three", "predicted": "three", "correct": true, "input_tokens": 1147, "output_tokens": 5, "elapsed_seconds": 4.717656458960846, "metadata": {"question": "How many red digits are present on the main rolling counter display? Answer strictly with a spelled-out word (e.g., \"one\", \"two\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.8354}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223838", "index": 73, "image": "621387a6-d868-4912-90f1-7e8abd9df0c0_png_jpg.rf.daf83e0999a9864ca1e0ed08dade1191.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1172, "output_tokens": 5, "elapsed_seconds": 3.2371328331064433, "metadata": {"question": "How many small circular subdials are visible on the blue Tissot watch face? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.3354}} diff --git a/results/counting_gemini-4-argon_low_20261012_223842.jsonl b/results/counting_gemini-4-argon_low_20261012_223842.jsonl new file mode 100644 index 0000000..9564ab7 --- /dev/null +++ b/results/counting_gemini-4-argon_low_20261012_223842.jsonl @@ -0,0 +1,74 @@ +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 0, "image": "f0d4c0bf-3a21-41a5-b0c2-c33b94feadb4_input-input-1771859752511-bk56l0pe1_png_jpg.rf.4af05c5fc1bdd4926894682e94c4b7b1.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1139, "output_tokens": 5, "elapsed_seconds": 4.595669416943565, "metadata": {"question": "How many vertical metal locking bars run down the back of the container doors? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.7004}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 1, "image": "63b26fc7-8349-4fbc-a0ad-e9d46bf28979_input-input-1769103313709-j5jk2uqdi_png_jpg.rf.a410e069cd682ad340d9504a57fce39d.jpg", "expected": "8", "predicted": "9", "correct": false, "input_tokens": 1145, "output_tokens": 5, "elapsed_seconds": 3.884377166046761, "metadata": {"question": "How many of the orange blister pockets in the pack are open (already emptied, with no capsule remaining)? Output the final count as a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 3.9417}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 2, "image": "6c44004a-c031-4396-a931-9a863a8802d2_png_jpg.rf.78a91a481b9044d0bc75154221a7ac45.jpg", "expected": "six", "predicted": "six", "correct": true, "input_tokens": 1147, "output_tokens": 5, "elapsed_seconds": 3.161927209002897, "metadata": {"question": "How many circular icons are visible in the horizontal menu bar directly above the \"Expenses (UK-Bank)\" title? Answer strictly with a spelled-out word.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.2254}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 3, "image": "4f2b6aab-f1c1-4f16-b3ca-bbe4d399a897_input-input-1773381300920-0uaf4zno9_png_jpg.rf.0a20aa6813607730b27a12060a642dbb.jpg", "expected": "15", "predicted": "15", "correct": true, "input_tokens": 1185, "output_tokens": 6, "elapsed_seconds": 2.4015371670247987, "metadata": {"question": "How many small, square white bowls are arranged on the fully visible metal tray positioned in the top right area of the image? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.453}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 4, "image": "26584325-f95e-41e4-9f4b-99afc5ff078d_png_jpg.rf.9a3624b41cfb86cab6301d79694fbf6d.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1153, "output_tokens": 5, "elapsed_seconds": 3.2105637079803273, "metadata": {"question": "How many checkmarks are visible in the \"NEED\" column of the \"SERVICES:\" table on the left? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.2924}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 5, "image": "c56ead6c-0697-4216-a27e-fbd28c19aaed_input-input-1781393738001-e3qhlmchi_png_jpg.rf.9ab190943804e3d54fa1136c7886e772.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1186, "output_tokens": 5, "elapsed_seconds": 3.842076833010651, "metadata": {"question": "How many distinct horizontal tire sidewalls are stacked in the image? Output the final count as a single integer (e.g., 5).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.888}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 6, "image": "003df5d3-f7ea-4567-8055-8733d3b39a27_input-input-1780991138503-fltoik3ij_png_jpg.rf.cf4d02bc406dbf7decf23b5678d8956d.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1169, "output_tokens": 5, "elapsed_seconds": 3.4445324579719454, "metadata": {"question": "How many workers are visible in the warehouse? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.4977}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 7, "image": "4cf40711-7419-4961-8920-88715c8b601f_input-input-1777166096829-s1ov2lkxh_png_jpg.rf.990c23aecc8702b0cfa58e90a8441f46.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1180, "output_tokens": 5, "elapsed_seconds": 2.723064334015362, "metadata": {"question": "How many rectangular black plates with a 2x4 stud configuration are clearly visible in the image? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7788}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 8, "image": "4cf40711-7419-4961-8920-88715c8b601f_input-input-1777166096829-s1ov2lkxh_png_jpg.rf.990c23aecc8702b0cfa58e90a8441f46.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1178, "output_tokens": 5, "elapsed_seconds": 3.46976645803079, "metadata": {"question": "How many individual round white tiles printed with a black eye pattern are visible in the assortment? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.5265}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 9, "image": "4cf40711-7419-4961-8920-88715c8b601f_input-input-1777166096829-s1ov2lkxh_png_jpg.rf.990c23aecc8702b0cfa58e90a8441f46.jpg", "expected": "2", "predicted": "3", "correct": false, "input_tokens": 1175, "output_tokens": 5, "elapsed_seconds": 2.304779874975793, "metadata": {"question": "How many distinct, whole animal figures are visible among the scattered LEGO pieces? Output the final count as a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 2.359}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 10, "image": "33299f4b-1857-4400-a31d-677ecd2c277a_input-input-1771415890481-7pfiombu0_png_jpg.rf.5df1a4fcae6b4c6acd16051c660f783f.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1151, "output_tokens": 5, "elapsed_seconds": 3.8447612499585375, "metadata": {"question": "How many red directional arrows are painted on the large grey pipes in the foreground? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.9046}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 11, "image": "48fa18cc-eee4-4e13-9647-318c7155420c_png_jpg.rf.8a732d4c26a0198146370e4b98476551.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1143, "output_tokens": 5, "elapsed_seconds": 3.731749458005652, "metadata": {"question": "How many rows in the main table have a blue background? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.8037}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 12, "image": "c9b00dcb-e093-43d9-baf8-f1971ff328af_input-input-1769103177177-3x5hfzwbp_png_jpg.rf.5036bc0df858e9911be4fa08e6b80a40.jpg", "expected": "22", "predicted": "22", "correct": true, "input_tokens": 1145, "output_tokens": 6, "elapsed_seconds": 3.202935582958162, "metadata": {"question": "How many intact capsules remain in the blister pack across all rows? Output the final count as a single integer (e.g., 15).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.2579}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 13, "image": "056e17c9-9b46-496a-9cf8-c1b54bd73216_png_jpg.rf.1e94f330e43f2a21d12e145273ac3f94.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1163, "output_tokens": 5, "elapsed_seconds": 3.9558727080002427, "metadata": {"question": "How many files or folders are listed directly inside the \"app\" directory in the file explorer on the right side? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.9945}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 14, "image": "db35c41c-a9ed-41bc-96cf-60186d715477_input-input-1774653477270-a4j6j7v6e_png_jpg.rf.81a4c1ac6254af08518ea58b5137ed9c.jpg", "expected": "8", "predicted": "8", "correct": true, "input_tokens": 1184, "output_tokens": 5, "elapsed_seconds": 2.8369844590779394, "metadata": {"question": "How many workers are standing or kneeling directly on the rebar grid inside the excavated pit? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8855}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 15, "image": "db35c41c-a9ed-41bc-96cf-60186d715477_input-input-1774653477270-a4j6j7v6e_png_jpg.rf.81a4c1ac6254af08518ea58b5137ed9c.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1185, "output_tokens": 5, "elapsed_seconds": 3.0928838750114664, "metadata": {"question": "How many workers are standing together on the dirt level directly in front of the white crane? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1407}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 16, "image": "db35c41c-a9ed-41bc-96cf-60186d715477_input-input-1774653477270-a4j6j7v6e_png_jpg.rf.81a4c1ac6254af08518ea58b5137ed9c.jpg", "expected": "0", "predicted": "0", "correct": true, "input_tokens": 1180, "output_tokens": 5, "elapsed_seconds": 2.4817827499937266, "metadata": {"question": "How many workers are not wearing head protection (a hard hat)? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.5317}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 17, "image": "1b4e5426-d109-4398-8e45-ab1dc497980f_png_jpg.rf.77e9ea61b4fcfb4286af38f0a02211c8.jpg", "expected": "12", "predicted": "12", "correct": true, "input_tokens": 1182, "output_tokens": 6, "elapsed_seconds": 3.427505375002511, "metadata": {"question": "How many red circles are drawn around lowercase letters in the table? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.4637}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 18, "image": "21a6d806-d16e-4452-a2e3-7fa520bd671d_input-input-1769360430457-50a88jpis_png_jpg.rf.686e67d06dd1f487be5dc88fff5e7bc3.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1149, "output_tokens": 5, "elapsed_seconds": 3.463057249900885, "metadata": {"question": "How many individual screws are visibly resting inside the plastic bin labeled \"DIN 912 M8 x 30\"? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.5816}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 19, "image": "020c3db8-dcc2-40e0-bf26-c874edb1612b_png_jpg.rf.ac73a13cb831f0a2f94ea3824f41a47d.jpg", "expected": "11", "predicted": "11", "correct": true, "input_tokens": 1176, "output_tokens": 6, "elapsed_seconds": 2.4352285410277545, "metadata": {"question": "How many items are listed under the 'DRY GOODS' section header in the table? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.491}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 20, "image": "1ad1c779-b18f-4aaa-9cf0-6155cb19879b_input-input-1769444672197-ug2bdacps_png_jpg.rf.f23a8a19a08199a726f99d7a1549be63.jpg", "expected": "15", "predicted": "15", "correct": true, "input_tokens": 1167, "output_tokens": 6, "elapsed_seconds": 2.98262333299499, "metadata": {"question": "How many round pills are visible in the blister pack on the right side of the image? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9979}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 21, "image": "2e15743f-6bc8-4cce-8ec0-66eea3a6ca2f_input-input-1779607392296-qwxxnltdb_png_jpg.rf.608695980e866c196074445d3c3449ce.jpg", "expected": "0", "predicted": "0", "correct": true, "input_tokens": 1178, "output_tokens": 5, "elapsed_seconds": 2.3367516660364345, "metadata": {"question": "How many water bottles with blue caps are visible on the bottom shelf? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.3755}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 22, "image": "214d5a30-f38a-4509-bd53-1e3ea49f9c8b_png_jpg.rf.b1c6d3fc8fd27d8b69dffde40d80310c.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1149, "output_tokens": 5, "elapsed_seconds": 2.8463029579725116, "metadata": {"question": "How many blue pen marks/ticks are visible in the 'WITHDRAWALS' column? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9091}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 23, "image": "403906f1-d101-4a15-b0b3-43f90df6b13e_input-input-1780067976213-f8fki9qzj_png_jpg.rf.aa03e3dd2a567694bf8badd574e32ae3.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1174, "output_tokens": 5, "elapsed_seconds": 3.0277137090452015, "metadata": {"question": "How many white tables are located between the facing seats in the carriage? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1211}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 24, "image": "0f7a1b1b-b0f9-4dba-9659-0455701b7a3f_png_jpg.rf.ab769bd32b93fa65b7df75c6ec1ef3cd.jpg", "expected": "five", "predicted": "five", "correct": true, "input_tokens": 1152, "output_tokens": 5, "elapsed_seconds": 2.917673584073782, "metadata": {"question": "How many checkmarks are written in the column labeled \"4\" in the evaluation table? Answer strictly with a spelled-out word (e.g., \"one\", \"two\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9364}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 25, "image": "d489f405-013e-4e8b-968a-1d9db2060050_png_jpg.rf.be190d9e1ea972d827d8c52c3391f1fd.jpg", "expected": "9", "predicted": "9", "correct": true, "input_tokens": 1167, "output_tokens": 5, "elapsed_seconds": 2.1537911250488833, "metadata": {"question": "How many handwritten checkmarks are visible in the left margin next to the line numbers (LNO)? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.1721}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 26, "image": "1b411f19-76c2-4028-b3ab-832256b9fb5e_input-input-1779844698418-8rz7uj6gh_png_jpg.rf.4d2907a675bb4eca3f3ae3a40822117f.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1144, "output_tokens": 5, "elapsed_seconds": 9.753664209041744, "metadata": {"question": "How many brown cardboard boxes prominently labeled \"Real-Kill\" are visible on the top storage shelf? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.8705}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 27, "image": "1b411f19-76c2-4028-b3ab-832256b9fb5e_input-input-1779844698418-8rz7uj6gh_png_jpg.rf.4d2907a675bb4eca3f3ae3a40822117f.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1146, "output_tokens": 5, "elapsed_seconds": 3.979033958981745, "metadata": {"question": "How many green and white \"Bug B-gon\" jugs are visible on the fourth shelf from the top? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.0971}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 28, "image": "02eaa1d1-ffaf-46f3-b9ef-b7ab3551b738_input-input-1777971607736-x33g85l3u_png_jpg.rf.4056fc9b233d537c46ed68224f3f2e27.jpg", "expected": "15", "predicted": "9", "correct": false, "input_tokens": 1176, "output_tokens": 5, "elapsed_seconds": 2.8868433750467375, "metadata": {"question": "How many tiles are missing from the wall? Output the final count as a single integer (e.g., 3).", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 2.9408}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 29, "image": "25e6ed9c-2d37-4533-8021-977770aa97d1_input-input-1780691294811-oql9y0w9f_png_jpg.rf.36701f4301765d1397e29a5f8d8f9471.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1172, "output_tokens": 5, "elapsed_seconds": 2.5286208329489455, "metadata": {"question": "How many green gas cylinders are present in the truck bed? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.5836}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 30, "image": "76d985c4-8ba2-4660-871b-939bba136896_input-input-1774985116190-hco0gpvmt_png_jpg.rf.e2a22365c854e0212534e5a8675bb4c9.jpg", "expected": "7", "predicted": "7", "correct": true, "input_tokens": 1167, "output_tokens": 5, "elapsed_seconds": 3.2790300420019776, "metadata": {"question": "How many bullet holes are located entirely or partially within the large black circular area of the target? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.3747}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 31, "image": "76d985c4-8ba2-4660-871b-939bba136896_input-input-1774985116190-hco0gpvmt_png_jpg.rf.e2a22365c854e0212534e5a8675bb4c9.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1170, "output_tokens": 5, "elapsed_seconds": 4.006883915979415, "metadata": {"question": "How many bullet holes are visibly piercing the off-white outer area in the lower right quadrant of the image? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.1017}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 32, "image": "0e3ca6d7-7301-474e-bad2-3bc3a9aa7140_input-input-1780425165960-zu9asq91k_png_jpg.rf.7dd6f9559d3f83a1e451dd68ab07f639.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1181, "output_tokens": 5, "elapsed_seconds": 3.3184322499437258, "metadata": {"question": "How many large, circular white feeding trays are attached to the thicker pipe running diagonally on the right side? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.3728}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 33, "image": "d0b99ce8-8a3b-4d1d-98d4-b34137b19f08_input-input-1768805031339-rs4dctz0p_png_jpg.rf.bbdc304ba5f61cb85ea823bce3f757b9.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1174, "output_tokens": 5, "elapsed_seconds": 4.118330291006714, "metadata": {"question": "How many women are depicted on the stamp labeled \"WOMEN IN OUR ARMED SERVICES\" in the bottom row? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.2182}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 34, "image": "d0b99ce8-8a3b-4d1d-98d4-b34137b19f08_input-input-1768805031339-rs4dctz0p_png_jpg.rf.bbdc304ba5f61cb85ea823bce3f757b9.jpg", "expected": "28", "predicted": "28", "correct": true, "input_tokens": 1170, "output_tokens": 6, "elapsed_seconds": 3.405647167004645, "metadata": {"question": "How many stamps in the display show a 3\u00a2 (three-cent) denomination? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.5013}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 35, "image": "d0b99ce8-8a3b-4d1d-98d4-b34137b19f08_input-input-1768805031339-rs4dctz0p_png_jpg.rf.bbdc304ba5f61cb85ea823bce3f757b9.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1165, "output_tokens": 5, "elapsed_seconds": 4.250928083900362, "metadata": {"question": "How many predominantly purple or violet stamps are visible in the display? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.3477}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 36, "image": "3cc9dff1-0e00-4900-9013-00d7b1be6a09_input-input-1779942886819-2wwj3rkhy_png_jpg.rf.2b0fb18f9f03d4dead03ef88ead19450.jpg", "expected": "8", "predicted": "8", "correct": true, "input_tokens": 1183, "output_tokens": 5, "elapsed_seconds": 2.6485433329362422, "metadata": {"question": "How many runners are visible on the track? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.6659}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 37, "image": "76bbc10c-bed4-41d3-8622-035eeabc5596_input-input-1769119181178-immkwkrpv_png_jpg.rf.9e45cd4a9160b72762d9d1091e937e81.jpg", "expected": "22", "predicted": "18", "correct": false, "input_tokens": 1137, "output_tokens": 6, "elapsed_seconds": 4.862105500069447, "metadata": {"question": "How many lens-box slots in the display grid are empty? Output the final count as a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 4.9753}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 38, "image": "1e37f04c-e13e-4595-8119-71801b83924e_png_jpg.rf.88d495e552edc70aa4a9fd4db0b6f2a4.jpg", "expected": "8", "predicted": "7", "correct": false, "input_tokens": 1153, "output_tokens": 5, "elapsed_seconds": 5.254987749969587, "metadata": {"question": "How many grey boxes are provided for entering the \"Amount Enclosed\" in the payment stub at the bottom right? Output the final count as a single integer (e.g., 3).", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 5.379}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 39, "image": "f0db827b-688f-45e5-b6d0-991c49108a4e_input-input-1771013479121-jj5wfnran_png_jpg.rf.78c029e9c9141b5c35558d767cf94681.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1143, "output_tokens": 5, "elapsed_seconds": 2.803074459079653, "metadata": {"question": "How many abnormal or defective candies are visible in the image? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8699}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 40, "image": "c1300d50-94fc-4081-b871-8338cef58e16_input-input-1778695950497-jbtexy630_png_jpg.rf.21ec9923369fc4380c0cc3c8aba1d9c1.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1179, "output_tokens": 5, "elapsed_seconds": 2.908195500029251, "metadata": {"question": "How many players wearing blue jerseys are visible on the ice? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9488}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 41, "image": "0212eb3d-e4b1-4ef4-9204-e920654bf677_input-input-1778110710064-oqhw5zz8j_png_jpg.rf.2faf044c9ba90e69aaaae8eaceafe6d4.jpg", "expected": "seven", "predicted": "seven", "correct": true, "input_tokens": 1150, "output_tokens": 5, "elapsed_seconds": 4.47856249997858, "metadata": {"question": "How many green \"Price Cut\" promotional tags are visible across the entire display? Answer strictly with a spelled-out word (e.g., \"one\", \"two\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.6001}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 42, "image": "4409ba1c-5b55-47e4-8fb3-ed245021d0bb_input-input-1776892569933-6scj88bzo_png_jpg.rf.92cb44b13f714204abf3b13ac1190860.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1147, "output_tokens": 5, "elapsed_seconds": 2.9588308329693973, "metadata": {"question": "How many item refund lines with negative pound amounts are listed under 'Online Return'? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.0293}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 43, "image": "20c6f561-491b-44ca-a96a-8f6d926b8307_png_jpg.rf.1bae1396728629da79305bdaaffa6fbb.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1142, "output_tokens": 5, "elapsed_seconds": 2.898219000082463, "metadata": {"question": "How many bottles are crushed or dented? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9891}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 44, "image": "097f7d52-0fd1-4385-9ec4-65a9ee83d81b_input-input-1776852419339-bqf3nz0wx_png_jpg.rf.4a2de88188f1ad2a3d4b04855bc2f1c7.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1162, "output_tokens": 5, "elapsed_seconds": 3.8586367500247434, "metadata": {"question": "How many bright green cars are parked in the visible parking spaces? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.972}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 45, "image": "097f7d52-0fd1-4385-9ec4-65a9ee83d81b_input-input-1776852419339-bqf3nz0wx_png_jpg.rf.4a2de88188f1ad2a3d4b04855bc2f1c7.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1171, "output_tokens": 5, "elapsed_seconds": 3.414775083074346, "metadata": {"question": "How many empty parking spaces are located between the cyan car and the bright green car in their shared parking row? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.5171}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 46, "image": "5bab6379-3de6-4deb-9698-97dad64b505c_input-input-1769090638596-o1nehu2dd_png_jpg.rf.4104781e673773b15de3cf099cb4d3f2.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1194, "output_tokens": 5, "elapsed_seconds": 3.383301042020321, "metadata": {"question": "If each wheelchair accessibility symbol marks one accessible parking space, how many accessible spaces are indicated by the symbols next to the building? Output the final count as a single integer (e.g., 4).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.4503}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 47, "image": "f4155be5-83b2-4214-89e0-b21906a781bd_png_jpg.rf.3cc4abb5bae56fbe2c8c798fcfbe7077.jpg", "expected": "11", "predicted": "11", "correct": true, "input_tokens": 1161, "output_tokens": 6, "elapsed_seconds": 2.3471100410679355, "metadata": {"question": "How many times does the quantity \"1\" appear in the leftmost column of the itemized list? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.4076}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 48, "image": "dce06136-2d24-422b-a3b6-e100c9a4bad1_input-input-1780992231793-0zf74ymfd_png_jpg.rf.c2823e6e198b2039f5cd13aa75bebfbc.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1167, "output_tokens": 5, "elapsed_seconds": 3.841964541003108, "metadata": {"question": "How many cartoon characters are depicted in the orange section on the right side of the package? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.8932}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 49, "image": "19f45907-d682-40cf-bb87-9133dc873871_input-input-1778506438615-gyarfruw4_png_jpg.rf.f1250911547dbb93c6724fe40a099c66.jpg", "expected": "9", "predicted": "9", "correct": true, "input_tokens": 1192, "output_tokens": 5, "elapsed_seconds": 2.6253513750853017, "metadata": {"question": "How many digits make up the serial number (S/N) printed at the top center of the meter? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.6502}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 50, "image": "e060bfb7-df44-43fd-83e7-fd09ac632863_png_jpg.rf.62cf5b61db7a2b02ec021799866318b3.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1145, "output_tokens": 5, "elapsed_seconds": 2.941806333954446, "metadata": {"question": "How many vertical books with predominantly orange spines are visible on the shelf? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.0179}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 51, "image": "05d94928-3491-4ab4-92be-1784b5cbcb18_png_jpg.rf.c75a6c9ea5b6c16f44c39b7dc8f66216.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1188, "output_tokens": 5, "elapsed_seconds": 2.58286995801609, "metadata": {"question": "How many leaf nodes (nodes with no children) are there in the binary tree shown at the top? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.5998}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 52, "image": "1478f318-0372-4bbb-bf28-6cab8c447a59_input-input-1771868885484-ua18hynnb_png_jpg.rf.48494081054afe07b3a29e3cf54058fe.jpg", "expected": "8", "predicted": "8", "correct": true, "input_tokens": 1137, "output_tokens": 5, "elapsed_seconds": 4.460042958962731, "metadata": {"question": "How many Butterfinger candy bars are visible in column E4? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.5333}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 53, "image": "1478f318-0372-4bbb-bf28-6cab8c447a59_input-input-1771868885484-ua18hynnb_png_jpg.rf.48494081054afe07b3a29e3cf54058fe.jpg", "expected": "0", "predicted": "0", "correct": true, "input_tokens": 1146, "output_tokens": 5, "elapsed_seconds": 3.959469166933559, "metadata": {"question": "How many completely empty coil columns are visible between the yellow Butterfinger wrappers and the orange Reese's wrappers? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.0289}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 54, "image": "1478f318-0372-4bbb-bf28-6cab8c447a59_input-input-1771868885484-ua18hynnb_png_jpg.rf.48494081054afe07b3a29e3cf54058fe.jpg", "expected": "22", "predicted": "21", "correct": false, "input_tokens": 1145, "output_tokens": 6, "elapsed_seconds": 5.370020790956914, "metadata": {"question": "How many M&M's packages are visible in the machine? Output the final count as a single integer (e.g., 3).", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 5.4392}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 55, "image": "01c39aed-93d2-4359-917a-1d3f4dbc60a1_png_jpg.rf.c61a3470f20d4496fda1707eaa58d82d.jpg", "expected": "4", "predicted": "8", "correct": false, "input_tokens": 1149, "output_tokens": 5, "elapsed_seconds": 3.550428166985512, "metadata": {"question": "How many blue bolts labeled with the number 23 are shown in the exploded diagram? Output the final count as a single integer (e.g., 3).", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 3.5753}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 56, "image": "396282bc-0d15-4e53-8803-7e5b69c1bef0_input-input-1773381099913-tgin8sfew_png_jpg.rf.adc85e75f7f5793f05427ecdddc06a07.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1185, "output_tokens": 5, "elapsed_seconds": 4.066240374930203, "metadata": {"question": "How many rectangular metal trays holding dessert cups are visible on the right side of the table? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.113}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 57, "image": "396282bc-0d15-4e53-8803-7e5b69c1bef0_input-input-1773381099913-tgin8sfew_png_jpg.rf.adc85e75f7f5793f05427ecdddc06a07.jpg", "expected": "12", "predicted": "12", "correct": true, "input_tokens": 1188, "output_tokens": 6, "elapsed_seconds": 2.303155208006501, "metadata": {"question": "How many dessert cups are in the metal tray immediately to the right of the blue-striped paper sheets? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.3485}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 58, "image": "1b7f1694-d9e1-496c-aed6-ea6baec4088a_png_jpg.rf.ccb9d030f1b587dd97bba12f6b7ec184.jpg", "expected": "8", "predicted": "8", "correct": true, "input_tokens": 1171, "output_tokens": 5, "elapsed_seconds": 2.842154790996574, "metadata": {"question": "How many large airplanes are parked on the main concrete apron in the upper half of the image? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9799}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 59, "image": "be797fcf-056b-44b2-a1da-b667c3185959_input-input-1773768805936-h107qsgy2_png_jpg.rf.866a72ab13a76381b59fc1a3280496d2.jpg", "expected": "10", "predicted": "4", "correct": false, "input_tokens": 1159, "output_tokens": 5, "elapsed_seconds": 2.9509434590581805, "metadata": {"question": "How many devices can fit inside a single front-to-back column of the large tilted black tray in the foreground? Output the final count as a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 3.0047}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 60, "image": "be797fcf-056b-44b2-a1da-b667c3185959_input-input-1773768805936-h107qsgy2_png_jpg.rf.866a72ab13a76381b59fc1a3280496d2.jpg", "expected": "22", "predicted": "10", "correct": false, "input_tokens": 1152, "output_tokens": 6, "elapsed_seconds": 2.5923109160503373, "metadata": {"question": "How many empty slots in total are in the large tilted black tray in the foreground? Output the final count as a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 2.6472}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 61, "image": "122ef3fe-1e8b-4790-b9e1-721a9c9d4b86_input-input-1771297576554-0xpo2dsmn_png_jpg.rf.1efcee784f71e642e8048f85c6a89ecd.jpg", "expected": "8", "predicted": "9", "correct": false, "input_tokens": 1141, "output_tokens": 5, "elapsed_seconds": 3.754407583968714, "metadata": {"question": "How many orange packets are grouped together at the top of the stack inside the box? Output the final count as a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 3.8757}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 62, "image": "36e6af65-9cf0-4b16-b5b2-2dbf5d54ffae_input-input-1778190001786-w0937ikxt_png_jpg.rf.b036a53ece9920b07b8682ac35c9bbd2.jpg", "expected": "3", "predicted": "2", "correct": false, "input_tokens": 1178, "output_tokens": 5, "elapsed_seconds": 3.137923541944474, "metadata": {"question": "How many blue cables are plugged into the ports on the left side of the white panel? Output the final count as a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 3.1669}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 63, "image": "36e6af65-9cf0-4b16-b5b2-2dbf5d54ffae_input-input-1778190001786-w0937ikxt_png_jpg.rf.b036a53ece9920b07b8682ac35c9bbd2.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1174, "output_tokens": 5, "elapsed_seconds": 2.6104702920420095, "metadata": {"question": "How many yellow cables are plugged into the ports on the white panel? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.6425}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 64, "image": "f0c68933-64c5-49e6-8845-707afdc32a4e_input-input-1776058768062-tn8vkqrxk_png_jpg.rf.c66fb27d88e528755f22742fcdf00c02.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1165, "output_tokens": 5, "elapsed_seconds": 3.108386000036262, "metadata": {"question": "How many people are visible in the image? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1854}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 65, "image": "3afd1b0e-33ad-4f1a-9ddf-b204107eb230_input-input-1776059274665-zosrz5qle_png_jpg.rf.70231d8dad35e71bcd49d5cb93b2dfc9.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1162, "output_tokens": 5, "elapsed_seconds": 2.444737417041324, "metadata": {"question": "How many people are currently seated at the desks in the office? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.4797}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 66, "image": "43a0837b-dfa3-4160-8487-71e9daeb5b99_input-input-1775138372300-avlcj3a0a_png_jpg.rf.1902113cf3fe1dd691ba2bbab90fd88b.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1171, "output_tokens": 5, "elapsed_seconds": 3.3501197500154376, "metadata": {"question": "How many large dark symbols are visible in the vertical line of markings on the light gray panel? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.3584}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 67, "image": "26aea39a-beea-43d5-bbd5-c716b698ebaf_png_jpg.rf.b43c70658245fd13f38d8b30e5bdc44d.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1165, "output_tokens": 5, "elapsed_seconds": 2.3462377499090508, "metadata": {"question": "How many shrink-wrapped packs of coke bottles with blue caps are visible on the pallet? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.367}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 68, "image": "c23e413c-57e2-4e59-946e-b511526184a9_input-input-1769617613579-ed7ya5fh1_png_jpg.rf.da6ffdada344ce2ab64d1676e0515d25.jpg", "expected": "12", "predicted": "12", "correct": true, "input_tokens": 1179, "output_tokens": 6, "elapsed_seconds": 3.007119334070012, "metadata": {"question": "How many flat metal brackets are visible inside the blue bin? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.0668}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 69, "image": "c23e413c-57e2-4e59-946e-b511526184a9_input-input-1769617613579-ed7ya5fh1_png_jpg.rf.da6ffdada344ce2ab64d1676e0515d25.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1183, "output_tokens": 5, "elapsed_seconds": 2.834308874909766, "metadata": {"question": "How many circular holes are clearly visible on the topmost, diagonally oriented metal bracket? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8961}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 70, "image": "0f07f712-f1ce-4b90-963e-7849862d827d_input-input-1779919148318-fedk52cp8_png_jpg.rf.616ee6530fd2873ab0d91b0ddd7140cc.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1175, "output_tokens": 5, "elapsed_seconds": 3.1355164169799536, "metadata": {"question": "How many square bricks with exactly four studs are visible on the white surface? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1713}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 71, "image": "bcd8aa70-e59a-4911-96e8-53c5b846dd6b_png_jpg.rf.fc6a6dff57ebb1f0a09fcd9fda6122f4.jpg", "expected": "10", "predicted": "10", "correct": true, "input_tokens": 1190, "output_tokens": 6, "elapsed_seconds": 3.3011118749855086, "metadata": {"question": "How many distinct size codes are listed in the 'SIZE' column on the far left of the table? Output the final count as a single integer (e.g., 5).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.3652}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 72, "image": "3c78fcf8-2bce-4157-ac2c-e52f999a378c_input-input-1768902949600-rch94svhd_png_jpg.rf.6b75c0351af58e8707a0b1d75af18aa8.jpg", "expected": "three", "predicted": "three", "correct": true, "input_tokens": 1147, "output_tokens": 5, "elapsed_seconds": 5.107977624982595, "metadata": {"question": "How many red digits are present on the main rolling counter display? Answer strictly with a spelled-out word (e.g., \"one\", \"two\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.2252}} +{"model": "gemini-4-argon", "effort": "low", "task": "counting", "timestamp": "20261012_223842", "index": 73, "image": "621387a6-d868-4912-90f1-7e8abd9df0c0_png_jpg.rf.daf83e0999a9864ca1e0ed08dade1191.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1172, "output_tokens": 5, "elapsed_seconds": 3.718709041015245, "metadata": {"question": "How many small circular subdials are visible on the blue Tissot watch face? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.8143}} diff --git a/results/detection_gemini-4-argon-eap_high_20261013_070134.jsonl b/results/detection_gemini-4-argon-eap_high_20261013_070134.jsonl deleted file mode 100644 index e806766..0000000 --- a/results/detection_gemini-4-argon-eap_high_20261013_070134.jsonl +++ /dev/null @@ -1,250 +0,0 @@ -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 0, "image": "Screenshot-2024-05-16-144612_png.rf.ae5a345319058fdba768605388143544.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [163, 260, 190, 290], \"label\": \"bullet hole\"},\n {\"box_2d\": [243, 272, 268, 300], \"label\": \"bullet hole\"},\n {\"box_2d\": [349, 286, 376, 315], \"label\": \"bullet hole\"},\n {\"box_2d\": [418, 294, 445, 323], \"label\": \"bullet hole\"},\n {\"box_2d\": [213, 549, 237, 579], \"label\": \"bullet hole\"},\n {\"box_2d\": [287, 548, 316, 576], \"label\": \"bullet hole\"},\n {\"box_2d\": [364, 548, 390, 576], \"label\": \"bullet hole\"},\n {\"box_2d\": [119, 833, 144, 860], \"label\": \"bullet hole\"},\n {\"box_2d\": [274, 833, 298, 858], \"label\": \"bullet hole\"},\n {\"box_2d\": [403, 761, 431, 789], \"label\": \"bullet hole\"},\n {\"box_2d\": [454, 891, 483, 920], \"label\": \"bullet hole\"},\n {\"box_2d\": [417, 968, 446, 999], \"label\": \"bullet hole\"},\n {\"box_2d\": [528, 966, 554, 996], \"label\": \"bullet hole\"},\n {\"box_2d\": [520, 826, 547, 855], \"label\": \"bullet hole\"},\n {\"box_2d\": [576, 888, 604, 918], \"label\": \"bullet hole\"},\n {\"box_2d\": [565, 464, 594, 493], \"label\": \"bullet hole\"},\n {\"box_2d\": [649, 392, 676, 422], \"label\": \"bullet hole\"},\n {\"box_2d\": [615, 71, 641, 98], \"label\": \"bullet hole\"},\n {\"box_2d\": [835, 40, 858, 71], \"label\": \"bullet hole\"},\n {\"box_2d\": [892, 157, 914, 183], \"label\": \"bullet hole\"},\n {\"box_2d\": [821, 231, 850, 259], \"label\": \"bullet hole\"},\n {\"box_2d\": [703, 310, 728, 335], \"label\": \"bullet hole\"},\n {\"box_2d\": [819, 459, 845, 487], \"label\": \"bullet hole\"},\n {\"box_2d\": [869, 430, 893, 460], \"label\": \"bullet hole\"},\n {\"box_2d\": [834, 574, 862, 606], \"label\": \"bullet hole\"},\n {\"box_2d\": [774, 703, 802, 734], \"label\": \"bullet hole\"},\n {\"box_2d\": [954, 686, 984, 720], \"label\": \"bullet hole\"},\n {\"box_2d\": [839, 891, 868, 920], \"label\": \"bullet hole\"},\n {\"box_2d\": [955, 889, 984, 919], \"label\": \"bullet hole\"}\n]\n```", "correct": false, "input_tokens": 1226, "output_tokens": 2600, "elapsed_seconds": 26.542945874971338, "metadata": {"match_method": "map", "num_predictions": 29, "num_ground_truth": 29, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5233867764472961, "attempts": 1, "retries": 0, "total_seconds": 26.5732}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 1, "image": "img_462887999701516572_png.rf.318af6a4e9ad42c15e8fcc520375ad9b.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [306, 253, 366, 368], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [352, 236, 417, 360], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [400, 215, 467, 344], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [452, 195, 521, 335], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [513, 179, 582, 326], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [577, 155, 650, 315], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [648, 130, 728, 299], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [724, 113, 819, 287], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [289, 367, 346, 474], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [333, 358, 394, 473], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [380, 348, 444, 471], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [431, 330, 498, 463], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [489, 322, 557, 461], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [553, 310, 622, 456], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [619, 291, 694, 446], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [691, 276, 780, 439], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [312, 469, 368, 579], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [358, 465, 419, 581], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [409, 455, 473, 582], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [463, 451, 530, 585], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [524, 443, 593, 586], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [590, 439, 661, 587], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [658, 427, 738, 583], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [734, 416, 829, 577], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [294, 572, 354, 686], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [339, 572, 399, 693], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [386, 571, 451, 696], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [441, 570, 508, 703], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [500, 572, 570, 715], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [565, 572, 636, 720], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [632, 569, 711, 726], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [706, 567, 798, 731], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [314, 681, 376, 800], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [361, 684, 426, 811], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [409, 687, 478, 825], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [466, 691, 535, 837], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [527, 696, 597, 853], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [592, 699, 666, 868], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [661, 710, 744, 886], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [738, 719, 835, 900], \"label\": \"full portable gas cylinder\"}\n]\n```", "correct": true, "input_tokens": 1217, "output_tokens": 4425, "elapsed_seconds": 40.400928167044185, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 40, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 40.7213}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 2, "image": "basketball-player-detection_boston-celtics-new-york-knicks-game-1-q1-03-16-03-11-0135_png.rf.87404d3bb76bef98d9e926e5ec1e2966.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [266, 291, 300, 310], \"label\": \"basketball\"},\n {\"box_2d\": [266, 304, 293, 338], \"label\": \"basket rim\"},\n {\"box_2d\": [281, 315, 622, 375], \"label\": \"player\"},\n {\"box_2d\": [281, 315, 622, 375], \"label\": \"player doing layup dunk\"},\n {\"box_2d\": [388, 283, 643, 381], \"label\": \"player\"},\n {\"box_2d\": [368, 370, 599, 434], \"label\": \"player\"},\n {\"box_2d\": [458, 412, 703, 487], \"label\": \"player\"},\n {\"box_2d\": [632, 348, 902, 416], \"label\": \"player\"},\n {\"box_2d\": [270, 672, 504, 738], \"label\": \"player\"},\n {\"box_2d\": [411, 799, 687, 853], \"label\": \"player\"},\n {\"box_2d\": [656, 725, 954, 822], \"label\": \"player\"},\n {\"box_2d\": [745, 881, 998, 965], \"label\": \"player\"},\n {\"box_2d\": [836, 411, 1000, 471], \"label\": \"referee\"},\n {\"box_2d\": [288, 263, 477, 305], \"label\": \"referee\"},\n {\"box_2d\": [703, 377, 735, 391], \"label\": \"jersey number\"},\n {\"box_2d\": [524, 453, 552, 463], \"label\": \"jersey number\"},\n {\"box_2d\": [341, 704, 362, 713], \"label\": \"jersey number\"},\n {\"box_2d\": [729, 777, 761, 801], \"label\": \"jersey number\"},\n {\"box_2d\": [896, 429, 924, 444], \"label\": \"jersey number\"}\n]\n```", "correct": false, "input_tokens": 1256, "output_tokens": 5172, "elapsed_seconds": 47.6352149999002, "metadata": {"match_method": "map", "num_predictions": 19, "num_ground_truth": 19, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6701241135597229, "attempts": 2, "retries": 1, "total_seconds": 111.5162, "transient_errors": ["RemoteProtocolError"]}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 3, "image": "fall-detection_all_mp4-1653_jpg.rf.9fa9a5ca42070b76929d3ba6ab91e945.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [469, 355, 539, 517], \"label\": \"fallen person\"},\n {\"box_2d\": [511, 430, 624, 592], \"label\": \"fallen person\"},\n {\"box_2d\": [417, 206, 486, 342], \"label\": \"fallen person\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 670, "elapsed_seconds": 8.097492625005543, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 8.1235}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 4, "image": "Screenshot-2024-05-16-150857_png.rf.d53edfaec65ba17dbc56ff856e70ed0d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 745, 20, 773], \"label\": \"bullet hole\"},\n {\"box_2d\": [28, 463, 52, 489], \"label\": \"bullet hole\"},\n {\"box_2d\": [60, 519, 86, 548], \"label\": \"bullet hole\"},\n {\"box_2d\": [71, 630, 96, 658], \"label\": \"bullet hole\"},\n {\"box_2d\": [112, 825, 139, 854], \"label\": \"bullet hole\"},\n {\"box_2d\": [121, 320, 149, 349], \"label\": \"bullet hole\"},\n {\"box_2d\": [137, 209, 165, 237], \"label\": \"bullet hole\"},\n {\"box_2d\": [162, 619, 189, 648], \"label\": \"bullet hole\"},\n {\"box_2d\": [208, 888, 236, 916], \"label\": \"bullet hole\"},\n {\"box_2d\": [294, 63, 323, 91], \"label\": \"bullet hole\"},\n {\"box_2d\": [338, 323, 367, 351], \"label\": \"bullet hole\"},\n {\"box_2d\": [409, 920, 436, 947], \"label\": \"bullet hole\"},\n {\"box_2d\": [437, 311, 466, 339], \"label\": \"bullet hole\"},\n {\"box_2d\": [436, 672, 464, 701], \"label\": \"bullet hole\"},\n {\"box_2d\": [468, 143, 498, 171], \"label\": \"bullet hole\"},\n {\"box_2d\": [521, 542, 549, 570], \"label\": \"bullet hole\"},\n {\"box_2d\": [546, 963, 575, 991], \"label\": \"bullet hole\"},\n {\"box_2d\": [608, 880, 637, 908], \"label\": \"bullet hole\"},\n {\"box_2d\": [614, 407, 645, 437], \"label\": \"bullet hole\"},\n {\"box_2d\": [623, 0, 651, 22], \"label\": \"bullet hole\"},\n {\"box_2d\": [682, 266, 712, 294], \"label\": \"bullet hole\"},\n {\"box_2d\": [691, 722, 720, 752], \"label\": \"bullet hole\"},\n {\"box_2d\": [709, 567, 740, 597], \"label\": \"bullet hole\"},\n {\"box_2d\": [781, 365, 809, 395], \"label\": \"bullet hole\"},\n {\"box_2d\": [799, 0, 825, 19], \"label\": \"bullet hole\"},\n {\"box_2d\": [800, 228, 830, 256], \"label\": \"bullet hole\"},\n {\"box_2d\": [811, 811, 836, 837], \"label\": \"bullet hole\"},\n {\"box_2d\": [891, 186, 920, 214], \"label\": \"bullet hole\"},\n {\"box_2d\": [920, 632, 950, 661], \"label\": \"bullet hole\"},\n {\"box_2d\": [955, 976, 987, 1000], \"label\": \"bullet hole\"},\n {\"box_2d\": [982, 182, 1000, 210], \"label\": \"bullet hole\"},\n {\"box_2d\": [986, 524, 1000, 551], \"label\": \"bullet hole\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 3064, "elapsed_seconds": 27.05862162495032, "metadata": {"match_method": "map", "num_predictions": 32, "num_ground_truth": 32, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9526609182357788, "attempts": 1, "retries": 0, "total_seconds": 27.0906}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 5, "image": "oil-tank-detection_oiltank_9_jpg.rf.acb372553a5f5f447313e4035eef562f.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [119, 98, 232, 204], \"label\": \"oil tank\"},\n {\"box_2d\": [114, 229, 228, 336], \"label\": \"oil tank\"},\n {\"box_2d\": [109, 362, 222, 469], \"label\": \"oil tank\"},\n {\"box_2d\": [105, 496, 217, 601], \"label\": \"oil tank\"},\n {\"box_2d\": [101, 628, 214, 735], \"label\": \"oil tank\"},\n {\"box_2d\": [94, 759, 208, 868], \"label\": \"oil tank\"},\n {\"box_2d\": [272, 100, 388, 208], \"label\": \"oil tank\"},\n {\"box_2d\": [265, 234, 381, 342], \"label\": \"oil tank\"},\n {\"box_2d\": [262, 368, 377, 474], \"label\": \"oil tank\"},\n {\"box_2d\": [254, 502, 369, 608], \"label\": \"oil tank\"},\n {\"box_2d\": [247, 632, 366, 742], \"label\": \"oil tank\"},\n {\"box_2d\": [245, 769, 361, 876], \"label\": \"oil tank\"},\n {\"box_2d\": [483, 98, 605, 209], \"label\": \"oil tank\"},\n {\"box_2d\": [480, 234, 601, 345], \"label\": \"oil tank\"},\n {\"box_2d\": [475, 369, 597, 481], \"label\": \"oil tank\"},\n {\"box_2d\": [470, 505, 591, 616], \"label\": \"oil tank\"},\n {\"box_2d\": [462, 642, 583, 753], \"label\": \"oil tank\"},\n {\"box_2d\": [628, 368, 754, 483], \"label\": \"oil tank\"},\n {\"box_2d\": [624, 511, 748, 622], \"label\": \"oil tank\"},\n {\"box_2d\": [619, 647, 741, 759], \"label\": \"oil tank\"}\n]\n```", "correct": true, "input_tokens": 1217, "output_tokens": 1932, "elapsed_seconds": 16.647650832892396, "metadata": {"match_method": "map", "num_predictions": 20, "num_ground_truth": 20, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 16.7355}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 6, "image": "signatures_image_38_png_jpg.rf.1d9c4bd922f8563e58275de808cd3984.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [362, 745, 411, 931], \"label\": \"signature\"},\n {\"box_2d\": [441, 643, 468, 703], \"label\": \"signature\"},\n {\"box_2d\": [859, 759, 917, 949], \"label\": \"signature\"},\n {\"box_2d\": [951, 634, 982, 695], \"label\": \"signature\"}\n]\n```", "correct": true, "input_tokens": 1211, "output_tokens": 1238, "elapsed_seconds": 14.213875625049695, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 14.2347}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 7, "image": "1704193901210_jpg.rf.2395376f26cee29d85e60b22c59c37b4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [267, 411, 328, 470], \"label\": \"corn kernel\"},\n {\"box_2d\": [310, 528, 355, 598], \"label\": \"corn kernel\"},\n {\"box_2d\": [405, 317, 475, 372], \"label\": \"corn kernel\"},\n {\"box_2d\": [416, 618, 477, 681], \"label\": \"corn kernel\"},\n {\"box_2d\": [455, 784, 501, 845], \"label\": \"corn kernel\"},\n {\"box_2d\": [514, 770, 579, 813], \"label\": \"corn kernel\"},\n {\"box_2d\": [532, 655, 582, 728], \"label\": \"corn kernel\"},\n {\"box_2d\": [540, 425, 588, 489], \"label\": \"corn kernel\"},\n {\"box_2d\": [577, 263, 637, 305], \"label\": \"corn kernel\"},\n {\"box_2d\": [616, 563, 677, 610], \"label\": \"corn kernel\"},\n {\"box_2d\": [609, 748, 660, 806], \"label\": \"corn kernel\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 1441, "elapsed_seconds": 11.963512708898634, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 11.9757}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 8, "image": "IMG_0620_jpeg.rf.0c9c3b0a23079483a0b0e1651801d9a9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [377, 263, 492, 330], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [289, 383, 370, 475], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [281, 511, 377, 584], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [284, 581, 391, 645], \"label\": \"caramel corn jelly bean\"},\n {\"box_2d\": [396, 388, 502, 480], \"label\": \"peach jelly bean\"},\n {\"box_2d\": [488, 512, 616, 594], \"label\": \"peach jelly bean\"},\n {\"box_2d\": [380, 509, 488, 595], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [506, 331, 643, 415], \"label\": \"tutti-fruitti jelly bean\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 1382, "elapsed_seconds": 14.555296792066656, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 14.5988}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 9, "image": "paper-parts_163482_102_jpg.rf.d878bfe8193ad78ee6e9bd012ea9324e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [94, 118, 108, 573], \"label\": \"subsection\"},\n {\"box_2d\": [128, 118, 142, 707], \"label\": \"paragraph\"},\n {\"box_2d\": [196, 333, 344, 667], \"label\": \"figure\"},\n {\"box_2d\": [369, 341, 382, 658], \"label\": \"figure caption\"},\n {\"box_2d\": [432, 118, 447, 493], \"label\": \"subsection\"},\n {\"box_2d\": [467, 118, 513, 862], \"label\": \"paragraph\"},\n {\"box_2d\": [529, 334, 566, 666], \"label\": \"equation\"},\n {\"box_2d\": [581, 422, 608, 578], \"label\": \"equation\"},\n {\"box_2d\": [624, 118, 637, 613], \"label\": \"paragraph\"},\n {\"box_2d\": [654, 338, 692, 662], \"label\": \"equation\"},\n {\"box_2d\": [706, 431, 733, 569], \"label\": \"equation\"},\n {\"box_2d\": [749, 118, 763, 547], \"label\": \"paragraph\"},\n {\"box_2d\": [780, 329, 817, 671], \"label\": \"equation\"},\n {\"box_2d\": [831, 431, 858, 569], \"label\": \"equation\"},\n {\"box_2d\": [923, 491, 936, 509], \"label\": \"page number\"}\n]\n```", "correct": false, "input_tokens": 1250, "output_tokens": 2136, "elapsed_seconds": 18.88236654200591, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 14, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7301979660987854, "attempts": 1, "retries": 0, "total_seconds": 18.9173}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 10, "image": "20210325_203432_jpg.rf.8eb2129f7a101d085f4cb925da755682.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [105, 275, 311, 480], \"label\": \"50 euro cent coin\"},\n {\"box_2d\": [134, 616, 294, 773], \"label\": \"2 euro cent coin\"},\n {\"box_2d\": [291, 461, 458, 628], \"label\": \"10 euro cent coin\"},\n {\"box_2d\": [333, 661, 520, 848], \"label\": \"20 euro cent coin\"},\n {\"box_2d\": [378, 162, 575, 359], \"label\": \"1 euro coin\"},\n {\"box_2d\": [536, 419, 675, 555], \"label\": \"1 euro cent coin\"},\n {\"box_2d\": [703, 205, 881, 383], \"label\": \"5 euro cent coin\"},\n {\"box_2d\": [650, 544, 869, 761], \"label\": \"2 euro coin\"}\n]\n```", "correct": true, "input_tokens": 1272, "output_tokens": 998, "elapsed_seconds": 8.435307707986794, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 8.4555}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 11, "image": "2024-12-05T02-01-20-119Z-4010_jpg.rf.4f789285ff5c3a1889420326440bc9d1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [456, 451, 617, 572], \"label\": \"wire hole\"},\n {\"box_2d\": [828, 699, 910, 759], \"label\": \"screw\"}\n]\n```", "correct": false, "input_tokens": 1203, "output_tokens": 2279, "elapsed_seconds": 25.63758412504103, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6683167815208435, "attempts": 1, "retries": 0, "total_seconds": 25.7797}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 12, "image": "Container-146_jpg.rf.1f5b3bfa7143f6b016b2b85ca3940e5c.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [160, 609, 202, 916], \"label\": \"shipping container number\"},\n {\"box_2d\": [212, 748, 250, 826], \"label\": \"container ISO type code\"}\n]\n```", "correct": true, "input_tokens": 1232, "output_tokens": 434, "elapsed_seconds": 6.24773466703482, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 6.2586}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 13, "image": "GP010248_JPG_jpg.rf.c2ac2602f1905971af1173c3ba311542.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [229, 301, 286, 496], \"label\": \"carrot\"},\n {\"box_2d\": [270, 279, 309, 460], \"label\": \"carrot\"},\n {\"box_2d\": [289, 179, 354, 412], \"label\": \"carrot\"},\n {\"box_2d\": [345, 117, 389, 355], \"label\": \"carrot\"},\n {\"box_2d\": [376, 143, 441, 344], \"label\": \"carrot\"},\n {\"box_2d\": [367, 40, 520, 150], \"label\": \"carrot\"},\n {\"box_2d\": [466, 28, 712, 141], \"label\": \"carrot\"},\n {\"box_2d\": [401, 118, 675, 190], \"label\": \"carrot\"},\n {\"box_2d\": [345, 224, 488, 441], \"label\": \"carrot\"},\n {\"box_2d\": [475, 187, 684, 280], \"label\": \"carrot\"},\n {\"box_2d\": [447, 223, 682, 330], \"label\": \"carrot\"},\n {\"box_2d\": [493, 263, 670, 367], \"label\": \"carrot\"},\n {\"box_2d\": [512, 339, 681, 381], \"label\": \"carrot\"},\n {\"box_2d\": [428, 372, 616, 415], \"label\": \"carrot\"},\n {\"box_2d\": [387, 370, 668, 456], \"label\": \"carrot\"},\n {\"box_2d\": [633, 278, 719, 474], \"label\": \"carrot\"},\n {\"box_2d\": [649, 417, 696, 586], \"label\": \"carrot\"},\n {\"box_2d\": [556, 474, 662, 672], \"label\": \"carrot\"},\n {\"box_2d\": [604, 569, 653, 720], \"label\": \"carrot\"},\n {\"box_2d\": [525, 450, 615, 576], \"label\": \"carrot\"},\n {\"box_2d\": [494, 447, 581, 597], \"label\": \"carrot\"},\n {\"box_2d\": [377, 439, 443, 621], \"label\": \"carrot\"},\n {\"box_2d\": [351, 478, 416, 684], \"label\": \"carrot\"},\n {\"box_2d\": [333, 545, 369, 717], \"label\": \"carrot\"},\n {\"box_2d\": [303, 469, 339, 688], \"label\": \"carrot\"},\n {\"box_2d\": [217, 613, 330, 761], \"label\": \"carrot\"},\n {\"box_2d\": [438, 565, 587, 711], \"label\": \"carrot\"},\n {\"box_2d\": [421, 658, 550, 797], \"label\": \"carrot\"},\n {\"box_2d\": [244, 756, 475, 825], \"label\": \"carrot\"},\n {\"box_2d\": [351, 790, 580, 931], \"label\": \"carrot\"},\n {\"box_2d\": [535, 706, 646, 848], \"label\": \"carrot\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 3067, "elapsed_seconds": 26.092664167052135, "metadata": {"match_method": "map", "num_predictions": 31, "num_ground_truth": 31, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 26.1167}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 14, "image": "DJI_20230529095953_0646_T_JPG_jpg.rf.9806615efd3123cda770b6e1a3358930.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [231, 55, 252, 72], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [220, 144, 243, 163], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [178, 618, 201, 636], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [173, 663, 199, 681], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [583, 367, 605, 385], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [574, 457, 598, 475], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [569, 502, 593, 520], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [556, 638, 580, 655], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [553, 683, 577, 700], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [546, 788, 567, 805], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [973, 353, 995, 371], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [926, 812, 950, 830], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [921, 858, 945, 875], \"label\": \"solar panel hot spot\"}\n]\n```", "correct": true, "input_tokens": 1228, "output_tokens": 1843, "elapsed_seconds": 18.81041258305777, "metadata": {"match_method": "map", "num_predictions": 13, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8613861203193665, "attempts": 1, "retries": 0, "total_seconds": 18.8258}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 15, "image": "floorplan-windows-doors_1036_png.rf.377e8848ebf77a1b3fd4e54e9aaa327d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [765, 148, 790, 291], \"label\": \"window\"},\n {\"box_2d\": [769, 365, 845, 455], \"label\": \"door\"},\n {\"box_2d\": [444, 209, 504, 291], \"label\": \"door\"},\n {\"box_2d\": [161, 102, 184, 244], \"label\": \"window\"},\n {\"box_2d\": [163, 300, 185, 364], \"label\": \"window\"},\n {\"box_2d\": [109, 363, 250, 450], \"label\": \"door\"},\n {\"box_2d\": [167, 573, 187, 620], \"label\": \"window\"},\n {\"box_2d\": [170, 776, 190, 840], \"label\": \"window\"},\n {\"box_2d\": [115, 840, 255, 927], \"label\": \"door\"},\n {\"box_2d\": [332, 585, 384, 645], \"label\": \"door\"},\n {\"box_2d\": [320, 702, 384, 848], \"label\": \"door\"},\n {\"box_2d\": [492, 671, 553, 756], \"label\": \"door\"},\n {\"box_2d\": [550, 673, 616, 759], \"label\": \"door\"},\n {\"box_2d\": [770, 573, 790, 620], \"label\": \"window\"},\n {\"box_2d\": [772, 728, 794, 846], \"label\": \"window\"}\n]\n```", "correct": false, "input_tokens": 1211, "output_tokens": 4102, "elapsed_seconds": 42.030129416962154, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 19, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.781559407711029, "attempts": 1, "retries": 0, "total_seconds": 42.0787}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 16, "image": "IMG_4942_JPG.rf.2d54601c43bd5fdd67c9d6de8428a9ef.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [297, 528, 318, 538], \"label\": \"face\"},\n {\"box_2d\": [298, 555, 318, 566], \"label\": \"face\"},\n {\"box_2d\": [300, 612, 321, 623], \"label\": \"face\"},\n {\"box_2d\": [296, 639, 317, 650], \"label\": \"face\"},\n {\"box_2d\": [333, 660, 355, 672], \"label\": \"face\"},\n {\"box_2d\": [346, 692, 367, 703], \"label\": \"face\"},\n {\"box_2d\": [353, 729, 375, 742], \"label\": \"face\"},\n {\"box_2d\": [360, 754, 384, 766], \"label\": \"face\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 1531, "elapsed_seconds": 18.724983792053536, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 9, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.4922206401824951, "attempts": 1, "retries": 0, "total_seconds": 19.0382}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 17, "image": "4103433_ContLeftUpper_f_jpg.rf.c38c0a22d926bfd30646b27374a1f854.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [481, 25, 513, 48], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [266, 101, 300, 126], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [316, 100, 344, 125], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [381, 102, 411, 126], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [584, 98, 616, 129], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [595, 174, 623, 207], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [384, 180, 412, 204], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [327, 258, 360, 285], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [384, 259, 412, 284], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [270, 338, 298, 362], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [331, 338, 361, 362], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [388, 338, 419, 363], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [392, 417, 420, 444], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [444, 692, 469, 718], \"label\": \"shipping container wall dent\"}\n]\n```", "correct": false, "input_tokens": 1224, "output_tokens": 1820, "elapsed_seconds": 19.117458916036412, "metadata": {"match_method": "map", "num_predictions": 14, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.09786747395992279, "attempts": 1, "retries": 0, "total_seconds": 19.2135}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 18, "image": "a9f16c_8_1_png_jpg.rf.21f65c07fc1fd4b937623a9b2c4bf919.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [393, 21, 441, 40], \"label\": \"goalkeeper\"},\n {\"box_2d\": [274, 326, 307, 336], \"label\": \"player\"},\n {\"box_2d\": [345, 271, 384, 282], \"label\": \"player\"},\n {\"box_2d\": [341, 297, 380, 309], \"label\": \"player\"},\n {\"box_2d\": [413, 232, 460, 245], \"label\": \"player\"},\n {\"box_2d\": [421, 287, 463, 302], \"label\": \"player\"},\n {\"box_2d\": [472, 206, 525, 226], \"label\": \"player\"},\n {\"box_2d\": [539, 207, 588, 227], \"label\": \"player\"},\n {\"box_2d\": [554, 190, 601, 214], \"label\": \"player\"},\n {\"box_2d\": [645, 279, 707, 299], \"label\": \"player\"},\n {\"box_2d\": [822, 280, 888, 300], \"label\": \"player\"},\n {\"box_2d\": [407, 401, 449, 416], \"label\": \"referee\"},\n {\"box_2d\": [441, 403, 490, 420], \"label\": \"player\"},\n {\"box_2d\": [309, 449, 349, 460], \"label\": \"player\"},\n {\"box_2d\": [305, 468, 342, 477], \"label\": \"player\"},\n {\"box_2d\": [373, 535, 412, 545], \"label\": \"player\"},\n {\"box_2d\": [425, 524, 471, 533], \"label\": \"player\"},\n {\"box_2d\": [500, 514, 554, 527], \"label\": \"player\"},\n {\"box_2d\": [592, 562, 653, 585], \"label\": \"player\"},\n {\"box_2d\": [643, 559, 656, 567], \"label\": \"football\"},\n {\"box_2d\": [340, 730, 378, 739], \"label\": \"player\"},\n {\"box_2d\": [342, 978, 385, 992], \"label\": \"goalkeeper\"},\n {\"box_2d\": [855, 956, 938, 979], \"label\": \"referee\"}\n]\n```", "correct": true, "input_tokens": 1242, "output_tokens": 2718, "elapsed_seconds": 26.922510667005554, "metadata": {"match_method": "map", "num_predictions": 23, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8910890817642212, "attempts": 1, "retries": 0, "total_seconds": 26.9984}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 19, "image": "20230220_113558_jpg.rf.d5df52cc566f78f19b292c4a237d076c.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [759, 439, 956, 461], \"label\": \"crack\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 238, "elapsed_seconds": 5.380566708976403, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 5.3943}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 20, "image": "frame_0277_jpg.rf.c6aa8dac950a9954eaaa15c2c1350db2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [9, 129, 67, 170], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [193, 128, 258, 175], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [335, 89, 404, 134], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [134, 246, 193, 289], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [61, 271, 111, 296], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [283, 238, 355, 281], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [445, 227, 524, 269], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [855, 217, 938, 264], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [28, 358, 86, 392], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [256, 368, 323, 406], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [53, 429, 123, 464], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [165, 433, 224, 467], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [332, 454, 405, 491], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [403, 466, 467, 507], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [604, 437, 675, 482], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [867, 494, 916, 538], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [31, 526, 94, 559], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [208, 531, 272, 571], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [309, 545, 366, 578], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [542, 553, 623, 591], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [449, 585, 511, 622], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [94, 627, 148, 659], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [210, 639, 274, 673], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [330, 656, 390, 690], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [455, 674, 515, 711], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [628, 688, 664, 733], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 242, 35, 270], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 269, 38, 299], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 303, 44, 338], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [1, 412, 46, 440], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 448, 49, 478], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [5, 494, 50, 526], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [5, 541, 46, 567], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 564, 52, 591], \"label\": \"garlic on conveyor\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 2548, "elapsed_seconds": 26.994056125055067, "metadata": {"match_method": "map", "num_predictions": 34, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 27.0948}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 21, "image": "construction-safety_ppe_0034_jpg.rf.38e91c4daafe26a0be27d2c1133af960.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [306, 77, 920, 200], \"label\": \"person\"},\n {\"box_2d\": [309, 134, 355, 184], \"label\": \"safety helmet\"},\n {\"box_2d\": [402, 95, 608, 195], \"label\": \"safety vest\"},\n {\"box_2d\": [375, 191, 917, 297], \"label\": \"person\"},\n {\"box_2d\": [373, 224, 419, 272], \"label\": \"safety helmet\"},\n {\"box_2d\": [457, 191, 672, 286], \"label\": \"safety vest\"},\n {\"box_2d\": [388, 291, 915, 385], \"label\": \"person\"},\n {\"box_2d\": [388, 321, 434, 368], \"label\": \"safety helmet\"},\n {\"box_2d\": [477, 291, 675, 383], \"label\": \"safety vest\"},\n {\"box_2d\": [386, 390, 907, 485], \"label\": \"person\"},\n {\"box_2d\": [384, 416, 431, 459], \"label\": \"safety helmet\"},\n {\"box_2d\": [458, 391, 718, 486], \"label\": \"safety vest\"},\n {\"box_2d\": [412, 480, 907, 560], \"label\": \"person\"},\n {\"box_2d\": [409, 500, 463, 545], \"label\": \"safety helmet\"},\n {\"box_2d\": [497, 483, 709, 558], \"label\": \"safety vest\"},\n {\"box_2d\": [373, 540, 901, 646], \"label\": \"person\"},\n {\"box_2d\": [371, 569, 413, 610], \"label\": \"safety helmet\"},\n {\"box_2d\": [449, 547, 692, 647], \"label\": \"safety vest\"},\n {\"box_2d\": [389, 632, 906, 730], \"label\": \"person\"},\n {\"box_2d\": [390, 658, 436, 703], \"label\": \"safety helmet\"},\n {\"box_2d\": [467, 645, 658, 729], \"label\": \"safety vest\"},\n {\"box_2d\": [365, 709, 910, 821], \"label\": \"person\"},\n {\"box_2d\": [366, 734, 410, 780], \"label\": \"safety helmet\"},\n {\"box_2d\": [451, 718, 645, 813], \"label\": \"safety vest\"},\n {\"box_2d\": [340, 804, 912, 923], \"label\": \"person\"},\n {\"box_2d\": [340, 830, 386, 879], \"label\": \"safety helmet\"},\n {\"box_2d\": [417, 823, 625, 911], \"label\": \"safety vest\"}\n]\n```", "correct": true, "input_tokens": 1222, "output_tokens": 1967, "elapsed_seconds": 17.412671333993785, "metadata": {"match_method": "map", "num_predictions": 27, "num_ground_truth": 27, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 17.4508}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 22, "image": "2024-12-05T02-00-55-647Z-1001_jpg.rf.c0a64fec0c1e44672b8338dc3d88f40e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [264, 675, 340, 732], \"label\": \"screw\"},\n {\"box_2d\": [521, 678, 596, 734], \"label\": \"screw\"},\n {\"box_2d\": [430, 538, 502, 592], \"label\": \"cable screw\"},\n {\"box_2d\": [591, 307, 735, 405], \"label\": \"wire hole\"}\n]\n```", "correct": false, "input_tokens": 1206, "output_tokens": 701, "elapsed_seconds": 9.884989208891056, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6666666269302368, "attempts": 1, "retries": 0, "total_seconds": 10.0952}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 23, "image": "uav20221018_ixfZ_3857_391_png.rf.363cfc1a99bee6043b1535d35e5cf8f5.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 245, 42, 286], \"label\": \"banana tree\"},\n {\"box_2d\": [37, 302, 72, 334], \"label\": \"banana tree\"},\n {\"box_2d\": [71, 249, 108, 280], \"label\": \"banana tree\"},\n {\"box_2d\": [21, 502, 57, 535], \"label\": \"banana tree\"},\n {\"box_2d\": [0, 550, 18, 578], \"label\": \"banana tree\"},\n {\"box_2d\": [65, 554, 98, 581], \"label\": \"banana tree\"},\n {\"box_2d\": [128, 554, 163, 589], \"label\": \"banana tree\"},\n {\"box_2d\": [158, 500, 200, 540], \"label\": \"banana tree\"},\n {\"box_2d\": [195, 541, 242, 585], \"label\": \"banana tree\"},\n {\"box_2d\": [228, 493, 272, 532], \"label\": \"banana tree\"},\n {\"box_2d\": [272, 547, 309, 579], \"label\": \"banana tree\"},\n {\"box_2d\": [304, 500, 344, 533], \"label\": \"banana tree\"},\n {\"box_2d\": [338, 549, 376, 591], \"label\": \"banana tree\"},\n {\"box_2d\": [368, 495, 415, 545], \"label\": \"banana tree\"},\n {\"box_2d\": [410, 548, 449, 586], \"label\": \"banana tree\"},\n {\"box_2d\": [440, 502, 479, 533], \"label\": \"banana tree\"},\n {\"box_2d\": [0, 731, 31, 769], \"label\": \"banana tree\"},\n {\"box_2d\": [19, 793, 63, 830], \"label\": \"banana tree\"},\n {\"box_2d\": [60, 727, 102, 769], \"label\": \"banana tree\"},\n {\"box_2d\": [94, 795, 134, 827], \"label\": \"banana tree\"},\n {\"box_2d\": [130, 734, 173, 773], \"label\": \"banana tree\"},\n {\"box_2d\": [161, 790, 202, 826], \"label\": \"banana tree\"},\n {\"box_2d\": [202, 737, 236, 773], \"label\": \"banana tree\"},\n {\"box_2d\": [234, 798, 273, 830], \"label\": \"banana tree\"},\n {\"box_2d\": [269, 737, 306, 770], \"label\": \"banana tree\"},\n {\"box_2d\": [304, 799, 344, 832], \"label\": \"banana tree\"},\n {\"box_2d\": [340, 736, 379, 775], \"label\": \"banana tree\"},\n {\"box_2d\": [372, 793, 415, 831], \"label\": \"banana tree\"},\n {\"box_2d\": [407, 739, 449, 776], \"label\": \"banana tree\"},\n {\"box_2d\": [436, 796, 481, 839], \"label\": \"banana tree\"},\n {\"box_2d\": [476, 740, 519, 779], \"label\": \"banana tree\"},\n {\"box_2d\": [508, 801, 550, 829], \"label\": \"banana tree\"},\n {\"box_2d\": [546, 744, 586, 787], \"label\": \"banana tree\"},\n {\"box_2d\": [579, 795, 625, 839], \"label\": \"banana tree\"},\n {\"box_2d\": [612, 745, 654, 788], \"label\": \"banana tree\"},\n {\"box_2d\": [648, 797, 686, 840], \"label\": \"banana tree\"},\n {\"box_2d\": [678, 738, 726, 790], \"label\": \"banana tree\"},\n {\"box_2d\": [713, 801, 757, 845], \"label\": \"banana tree\"},\n {\"box_2d\": [751, 750, 788, 787], \"label\": \"banana tree\"},\n {\"box_2d\": [758, 794, 806, 837], \"label\": \"banana tree\"},\n {\"box_2d\": [26, 978, 66, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [100, 980, 138, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [170, 981, 208, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [242, 982, 279, 1000], \"label\": \"banana tree\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 2872, "elapsed_seconds": 24.407353374990635, "metadata": {"match_method": "map", "num_predictions": 44, "num_ground_truth": 43, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9993249177932739, "attempts": 1, "retries": 0, "total_seconds": 24.4853}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 24, "image": "fabric-defect_511_jpg.rf.c9746a1a958e01686335a4e0e7bec57c.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [417, 400, 572, 489], \"label\": \"fabric cut\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 521, "elapsed_seconds": 8.768952917074785, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 8.7782}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 25, "image": "z4517190691608_e13e5a7742dfd1e1497d7f34e43b9a19_jpg.rf.53f3adf34b3bcf75125b6512855911b0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [92, 326, 193, 478], \"label\": \"5 poker chip\"},\n {\"box_2d\": [128, 485, 233, 641], \"label\": \"5 poker chip\"},\n {\"box_2d\": [185, 349, 293, 506], \"label\": \"5 poker chip\"},\n {\"box_2d\": [195, 169, 303, 326], \"label\": \"5 poker chip\"},\n {\"box_2d\": [190, 648, 299, 811], \"label\": \"20 poker chip\"},\n {\"box_2d\": [245, 480, 355, 642], \"label\": \"10 poker chip\"},\n {\"box_2d\": [279, 274, 391, 435], \"label\": \"500 poker chip\"},\n {\"box_2d\": [298, 671, 417, 842], \"label\": \"50 poker chip\"},\n {\"box_2d\": [347, 111, 465, 276], \"label\": \"100 poker chip\"},\n {\"box_2d\": [349, 517, 467, 684], \"label\": \"20 poker chip\"},\n {\"box_2d\": [371, 353, 490, 518], \"label\": \"20 poker chip\"},\n {\"box_2d\": [433, 205, 557, 376], \"label\": \"100 poker chip\"},\n {\"box_2d\": [461, 458, 586, 632], \"label\": \"20 poker chip\"},\n {\"box_2d\": [429, 822, 559, 1000], \"label\": \"5000 poker chip\"},\n {\"box_2d\": [494, 635, 626, 818], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [526, 309, 660, 486], \"label\": \"10 poker chip\"},\n {\"box_2d\": [585, 481, 725, 666], \"label\": \"20 poker chip\"},\n {\"box_2d\": [591, 148, 731, 330], \"label\": \"50 poker chip\"},\n {\"box_2d\": [663, 293, 810, 480], \"label\": \"20 poker chip\"},\n {\"box_2d\": [614, 715, 759, 908], \"label\": \"500 poker chip\"},\n {\"box_2d\": [733, 453, 888, 647], \"label\": \"50 poker chip\"},\n {\"box_2d\": [757, 655, 916, 855], \"label\": \"50 poker chip\"}\n]\n```", "correct": true, "input_tokens": 1251, "output_tokens": 2519, "elapsed_seconds": 22.863865292049013, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 23.0674}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 26, "image": "floorplan-windows-doors_10156_png.rf.46b4865a81b54b57dfa53b894c0a0632.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [209, 297, 322, 358], \"label\": \"door\"},\n {\"box_2d\": [387, 810, 432, 853], \"label\": \"door\"},\n {\"box_2d\": [451, 742, 507, 801], \"label\": \"door\"},\n {\"box_2d\": [529, 752, 581, 806], \"label\": \"door\"},\n {\"box_2d\": [624, 742, 681, 800], \"label\": \"door\"},\n {\"box_2d\": [695, 236, 740, 281], \"label\": \"door\"},\n {\"box_2d\": [736, 298, 793, 356], \"label\": \"door\"},\n {\"box_2d\": [821, 297, 885, 356], \"label\": \"door\"},\n {\"box_2d\": [913, 266, 967, 329], \"label\": \"door\"},\n {\"box_2d\": [821, 391, 837, 490], \"label\": \"window\"},\n {\"box_2d\": [820, 649, 837, 748], \"label\": \"window\"},\n {\"box_2d\": [821, 783, 837, 840], \"label\": \"window\"},\n {\"box_2d\": [254, 239, 271, 296], \"label\": \"window\"},\n {\"box_2d\": [255, 369, 272, 471], \"label\": \"window\"},\n {\"box_2d\": [254, 646, 273, 748], \"label\": \"window\"},\n {\"box_2d\": [256, 816, 276, 860], \"label\": \"window\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 1572, "elapsed_seconds": 15.850444791954942, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 17, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9504950642585754, "attempts": 1, "retries": 0, "total_seconds": 15.8994}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 27, "image": "fabric-defect_323_jpg.rf.371f41f855eb62c4f2068f1bac0ca297.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [2, 517, 1000, 643], \"label\": \"fabric cut\"}\n]\n```", "correct": false, "input_tokens": 1226, "output_tokens": 725, "elapsed_seconds": 10.544142875005491, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 10.5518}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 28, "image": "54_png.rf.e797ccd3ab1732fcc95dc8f12eac1e73.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [196, 78, 304, 136], \"label\": \"not gate symbol\"},\n {\"box_2d\": [196, 179, 304, 237], \"label\": \"not gate symbol\"},\n {\"box_2d\": [196, 279, 304, 336], \"label\": \"not gate symbol\"},\n {\"box_2d\": [196, 379, 304, 437], \"label\": \"not gate symbol\"},\n {\"box_2d\": [311, 513, 434, 613], \"label\": \"and gate symbol\"},\n {\"box_2d\": [454, 513, 577, 613], \"label\": \"and gate symbol\"},\n {\"box_2d\": [594, 513, 717, 613], \"label\": \"and gate symbol\"},\n {\"box_2d\": [737, 513, 860, 613], \"label\": \"and gate symbol\"},\n {\"box_2d\": [382, 659, 504, 759], \"label\": \"or gate symbol\"},\n {\"box_2d\": [665, 659, 789, 759], \"label\": \"or gate symbol\"},\n {\"box_2d\": [522, 804, 646, 904], \"label\": \"and gate symbol\"}\n]\n```", "correct": true, "input_tokens": 1212, "output_tokens": 1187, "elapsed_seconds": 10.415102208033204, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 10.4207}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 29, "image": "IMG_3802_JPG.rf.a7e888d2c6d99ef929355eb2fffb322e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [472, 379, 506, 395], \"label\": \"face\"},\n {\"box_2d\": [478, 436, 511, 452], \"label\": \"face\"},\n {\"box_2d\": [438, 524, 466, 538], \"label\": \"face\"},\n {\"box_2d\": [301, 338, 326, 350], \"label\": \"face\"},\n {\"box_2d\": [311, 359, 334, 372], \"label\": \"face\"},\n {\"box_2d\": [231, 414, 250, 424], \"label\": \"face\"},\n {\"box_2d\": [237, 439, 255, 449], \"label\": \"face\"},\n {\"box_2d\": [252, 429, 273, 439], \"label\": \"face\"},\n {\"box_2d\": [251, 498, 271, 507], \"label\": \"face\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 1696, "elapsed_seconds": 19.89221166598145, "metadata": {"match_method": "map", "num_predictions": 9, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7128713130950928, "attempts": 1, "retries": 0, "total_seconds": 20.214}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 30, "image": "DJI_20230529112019_0221_T_JPG_jpg.rf.8e72d3393da7d92494fccfb7bb75bfc8.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [68, 157, 92, 178], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [76, 198, 101, 219], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [84, 239, 107, 259], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [165, 661, 189, 681], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [172, 702, 196, 722], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [180, 743, 202, 762], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [101, 835, 125, 855], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [109, 874, 136, 895], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [207, 864, 230, 884], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [520, 654, 546, 675], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [527, 696, 552, 715], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [534, 736, 560, 757], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [542, 777, 567, 797], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [549, 818, 573, 837], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [847, 494, 869, 513], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [853, 534, 877, 554], \"label\": \"solar panel hot spot\"}\n]\n```", "correct": true, "input_tokens": 1228, "output_tokens": 2152, "elapsed_seconds": 18.725413165986538, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 17, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9405940771102905, "attempts": 1, "retries": 0, "total_seconds": 18.7399}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 31, "image": "Atlantic_2025_NCPT-189_JPG_jpg.rf.7a382ad19f3061fc65305d93b2678aef.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [128, 250, 217, 286], \"label\": \"potato\"},\n {\"box_2d\": [13, 300, 77, 326], \"label\": \"potato\"},\n {\"box_2d\": [118, 296, 183, 323], \"label\": \"potato\"},\n {\"box_2d\": [352, 284, 448, 328], \"label\": \"potato\"},\n {\"box_2d\": [445, 288, 533, 325], \"label\": \"potato\"},\n {\"box_2d\": [548, 284, 650, 329], \"label\": \"potato\"},\n {\"box_2d\": [656, 288, 725, 316], \"label\": \"potato\"},\n {\"box_2d\": [722, 281, 833, 321], \"label\": \"potato\"},\n {\"box_2d\": [833, 288, 899, 315], \"label\": \"potato\"},\n {\"box_2d\": [10, 339, 93, 370], \"label\": \"potato\"},\n {\"box_2d\": [134, 336, 218, 371], \"label\": \"potato\"},\n {\"box_2d\": [216, 341, 280, 366], \"label\": \"potato\"},\n {\"box_2d\": [342, 336, 439, 370], \"label\": \"potato\"},\n {\"box_2d\": [436, 337, 502, 365], \"label\": \"potato\"},\n {\"box_2d\": [501, 328, 608, 372], \"label\": \"potato\"},\n {\"box_2d\": [618, 334, 687, 363], \"label\": \"potato\"},\n {\"box_2d\": [690, 336, 761, 363], \"label\": \"potato\"},\n {\"box_2d\": [777, 331, 865, 369], \"label\": \"potato\"},\n {\"box_2d\": [20, 384, 108, 417], \"label\": \"potato\"},\n {\"box_2d\": [161, 383, 234, 416], \"label\": \"potato\"},\n {\"box_2d\": [231, 383, 290, 409], \"label\": \"potato\"},\n {\"box_2d\": [285, 373, 391, 413], \"label\": \"potato\"},\n {\"box_2d\": [398, 380, 483, 415], \"label\": \"potato\"},\n {\"box_2d\": [478, 375, 569, 410], \"label\": \"potato\"},\n {\"box_2d\": [582, 372, 669, 412], \"label\": \"potato\"},\n {\"box_2d\": [757, 373, 843, 409], \"label\": \"potato\"},\n {\"box_2d\": [8, 426, 86, 460], \"label\": \"potato\"},\n {\"box_2d\": [102, 420, 201, 459], \"label\": \"potato\"},\n {\"box_2d\": [215, 408, 324, 459], \"label\": \"potato\"},\n {\"box_2d\": [318, 426, 384, 454], \"label\": \"potato\"},\n {\"box_2d\": [400, 414, 511, 458], \"label\": \"potato\"},\n {\"box_2d\": [581, 415, 688, 456], \"label\": \"potato\"},\n {\"box_2d\": [749, 419, 829, 448], \"label\": \"potato\"},\n {\"box_2d\": [918, 417, 1000, 454], \"label\": \"potato\"},\n {\"box_2d\": [6, 472, 84, 505], \"label\": \"potato\"},\n {\"box_2d\": [81, 472, 156, 502], \"label\": \"potato\"},\n {\"box_2d\": [153, 466, 268, 508], \"label\": \"potato\"},\n {\"box_2d\": [266, 463, 366, 506], \"label\": \"potato\"},\n {\"box_2d\": [364, 463, 453, 503], \"label\": \"potato\"},\n {\"box_2d\": [458, 466, 545, 497], \"label\": \"potato\"},\n {\"box_2d\": [586, 463, 680, 499], \"label\": \"potato\"},\n {\"box_2d\": [692, 466, 755, 492], \"label\": \"potato\"},\n {\"box_2d\": [844, 461, 926, 494], \"label\": \"potato\"},\n {\"box_2d\": [7, 517, 74, 547], \"label\": \"potato\"},\n {\"box_2d\": [71, 511, 147, 546], \"label\": \"potato\"},\n {\"box_2d\": [144, 513, 245, 547], \"label\": \"potato\"},\n {\"box_2d\": [254, 511, 362, 553], \"label\": \"potato\"},\n {\"box_2d\": [356, 511, 446, 546], \"label\": \"potato\"},\n {\"box_2d\": [470, 500, 576, 545], \"label\": \"potato\"},\n {\"box_2d\": [575, 507, 683, 551], \"label\": \"potato\"},\n {\"box_2d\": [866, 506, 950, 538], \"label\": \"potato\"},\n {\"box_2d\": [196, 551, 291, 592], \"label\": \"potato\"},\n {\"box_2d\": [288, 557, 366, 590], \"label\": \"potato\"},\n {\"box_2d\": [368, 550, 484, 605], \"label\": \"potato\"},\n {\"box_2d\": [481, 552, 569, 587], \"label\": \"potato\"},\n {\"box_2d\": [664, 551, 770, 594], \"label\": \"potato\"},\n {\"box_2d\": [7, 606, 82, 635], \"label\": \"potato\"},\n {\"box_2d\": [116, 598, 219, 640], \"label\": \"potato\"},\n {\"box_2d\": [376, 600, 472, 639], \"label\": \"potato\"},\n {\"box_2d\": [508, 596, 615, 637], \"label\": \"potato\"},\n {\"box_2d\": [737, 591, 837, 627], \"label\": \"potato\"},\n {\"box_2d\": [145, 640, 248, 682], \"label\": \"potato\"},\n {\"box_2d\": [266, 645, 335, 675], \"label\": \"potato\"},\n {\"box_2d\": [479, 635, 600, 677], \"label\": \"potato\"},\n {\"box_2d\": [97, 685, 177, 721], \"label\": \"potato\"},\n {\"box_2d\": [210, 687, 317, 725], \"label\": \"potato\"},\n {\"box_2d\": [315, 680, 430, 726], \"label\": \"potato\"},\n {\"box_2d\": [690, 680, 795, 718], \"label\": \"potato\"},\n {\"box_2d\": [24, 729, 117, 770], \"label\": \"potato\"},\n {\"box_2d\": [122, 734, 184, 761], \"label\": \"potato\"},\n {\"box_2d\": [302, 731, 384, 763], \"label\": \"potato\"},\n {\"box_2d\": [444, 725, 536, 764], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 4734, "elapsed_seconds": 40.52218958304729, "metadata": {"match_method": "map", "num_predictions": 72, "num_ground_truth": 72, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 40.9819}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 32, "image": "V000078_0_0_jpeg_jpg.rf.ea93b54e17810ab845506f60bf69b7dd.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [163, 342, 212, 439], \"label\": \"surface roughness symbol\"},\n {\"box_2d\": [123, 643, 330, 895], \"label\": \"dimension annotation\"},\n {\"box_2d\": [153, 704, 305, 928], \"label\": \"dimension annotation\"},\n {\"box_2d\": [292, 694, 381, 821], \"label\": \"dimension annotation\"},\n {\"box_2d\": [269, 170, 323, 235], \"label\": \"dimension annotation\"},\n {\"box_2d\": [274, 235, 323, 435], \"label\": \"dimension annotation\"},\n {\"box_2d\": [289, 432, 323, 483], \"label\": \"dimension annotation\"},\n {\"box_2d\": [289, 489, 323, 565], \"label\": \"dimension annotation\"},\n {\"box_2d\": [269, 170, 370, 484], \"label\": \"dimension annotation\"},\n {\"box_2d\": [338, 451, 370, 551], \"label\": \"dimension annotation\"},\n {\"box_2d\": [442, 136, 491, 258], \"label\": \"dimension annotation\"},\n {\"box_2d\": [442, 218, 483, 300], \"label\": \"dimension annotation\"},\n {\"box_2d\": [493, 125, 531, 171], \"label\": \"dimension annotation\"},\n {\"box_2d\": [498, 183, 586, 217], \"label\": \"dimension annotation\"},\n {\"box_2d\": [477, 297, 577, 345], \"label\": \"dimension annotation\"},\n {\"box_2d\": [441, 498, 468, 597], \"label\": \"dimension annotation\"},\n {\"box_2d\": [468, 563, 556, 628], \"label\": \"dimension annotation\"},\n {\"box_2d\": [800, 93, 967, 954], \"label\": \"technical drawing table\"}\n]\n```", "correct": false, "input_tokens": 1237, "output_tokens": 2263, "elapsed_seconds": 23.54717045801226, "metadata": {"match_method": "map", "num_predictions": 18, "num_ground_truth": 18, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.666666567325592, "attempts": 1, "retries": 0, "total_seconds": 23.5604}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 33, "image": "1226_8_jpg.rf.ca0a21572938b5c31e601cfcbf119e1e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [20, 21, 118, 120], \"label\": \"black rook\"},\n {\"box_2d\": [0, 140, 96, 245], \"label\": \"black knight\"},\n {\"box_2d\": [33, 265, 134, 355], \"label\": \"black bishop\"},\n {\"box_2d\": [9, 400, 130, 492], \"label\": \"black king\"},\n {\"box_2d\": [8, 529, 128, 623], \"label\": \"black queen\"},\n {\"box_2d\": [19, 896, 117, 999], \"label\": \"black rook\"},\n {\"box_2d\": [138, 43, 214, 121], \"label\": \"black pawn\"},\n {\"box_2d\": [160, 649, 236, 725], \"label\": \"black pawn\"},\n {\"box_2d\": [166, 763, 242, 840], \"label\": \"black pawn\"},\n {\"box_2d\": [175, 912, 250, 997], \"label\": \"black pawn\"},\n {\"box_2d\": [279, 286, 353, 360], \"label\": \"black pawn\"},\n {\"box_2d\": [284, 398, 376, 489], \"label\": \"black bishop\"},\n {\"box_2d\": [425, 535, 496, 610], \"label\": \"black pawn\"},\n {\"box_2d\": [410, 893, 491, 1000], \"label\": \"black knight\"},\n {\"box_2d\": [521, 293, 594, 368], \"label\": \"white pawn\"},\n {\"box_2d\": [551, 757, 624, 837], \"label\": \"white pawn\"},\n {\"box_2d\": [641, 398, 715, 473], \"label\": \"white pawn\"},\n {\"box_2d\": [629, 639, 712, 745], \"label\": \"white knight\"},\n {\"box_2d\": [756, 56, 830, 136], \"label\": \"white pawn\"},\n {\"box_2d\": [766, 169, 841, 245], \"label\": \"white pawn\"},\n {\"box_2d\": [785, 640, 862, 715], \"label\": \"white pawn\"},\n {\"box_2d\": [772, 890, 847, 974], \"label\": \"white pawn\"},\n {\"box_2d\": [867, 39, 968, 136], \"label\": \"white rook\"},\n {\"box_2d\": [864, 133, 956, 242], \"label\": \"white knight\"},\n {\"box_2d\": [870, 280, 974, 375], \"label\": \"white bishop\"},\n {\"box_2d\": [862, 407, 990, 502], \"label\": \"white king\"},\n {\"box_2d\": [865, 530, 988, 624], \"label\": \"white queen\"},\n {\"box_2d\": [868, 652, 972, 746], \"label\": \"white bishop\"},\n {\"box_2d\": [877, 886, 978, 990], \"label\": \"white rook\"}\n]\n```", "correct": true, "input_tokens": 1259, "output_tokens": 2469, "elapsed_seconds": 24.210004416992888, "metadata": {"match_method": "map", "num_predictions": 29, "num_ground_truth": 29, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 24.3981}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 34, "image": "1218_18_jpg.rf.8c844a918f3bbbea9bc4a4e8bb703b7d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [33, 522, 130, 610], \"label\": \"black bishop\"},\n {\"box_2d\": [136, 7, 223, 105], \"label\": \"white rook\"},\n {\"box_2d\": [252, 256, 340, 348], \"label\": \"black knight\"},\n {\"box_2d\": [259, 632, 349, 717], \"label\": \"white knight\"},\n {\"box_2d\": [261, 876, 357, 1000], \"label\": \"white queen\"},\n {\"box_2d\": [380, 5, 463, 118], \"label\": \"black queen\"},\n {\"box_2d\": [514, 0, 597, 119], \"label\": \"white king\"},\n {\"box_2d\": [515, 279, 603, 369], \"label\": \"white bishop\"},\n {\"box_2d\": [518, 524, 605, 611], \"label\": \"black king\"},\n {\"box_2d\": [538, 764, 608, 840], \"label\": \"white pawn\"},\n {\"box_2d\": [627, 389, 708, 478], \"label\": \"black knight\"},\n {\"box_2d\": [637, 521, 718, 603], \"label\": \"white rook\"},\n {\"box_2d\": [639, 882, 719, 991], \"label\": \"white knight\"},\n {\"box_2d\": [746, 141, 849, 244], \"label\": \"white queen\"},\n {\"box_2d\": [772, 642, 844, 715], \"label\": \"black pawn\"},\n {\"box_2d\": [767, 768, 854, 860], \"label\": \"black rook\"},\n {\"box_2d\": [890, 405, 969, 479], \"label\": \"white pawn\"},\n {\"box_2d\": [882, 761, 1000, 872], \"label\": \"black queen\"}\n]\n```", "correct": true, "input_tokens": 1259, "output_tokens": 1638, "elapsed_seconds": 17.58361116598826, "metadata": {"match_method": "map", "num_predictions": 18, "num_ground_truth": 18, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 17.7668}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 35, "image": "42ba34_3_4_png_jpg.rf.963d6715a391a3a2fee3176cace44325.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [375, 0, 417, 12], \"label\": \"goalkeeper\"},\n {\"box_2d\": [678, 151, 738, 170], \"label\": \"player\"},\n {\"box_2d\": [581, 234, 636, 249], \"label\": \"player\"},\n {\"box_2d\": [518, 281, 571, 295], \"label\": \"player\"},\n {\"box_2d\": [493, 265, 546, 277], \"label\": \"player\"},\n {\"box_2d\": [352, 250, 393, 261], \"label\": \"player\"},\n {\"box_2d\": [352, 257, 392, 268], \"label\": \"player\"},\n {\"box_2d\": [302, 282, 336, 292], \"label\": \"player\"},\n {\"box_2d\": [292, 318, 329, 327], \"label\": \"player\"},\n {\"box_2d\": [282, 405, 315, 415], \"label\": \"player\"},\n {\"box_2d\": [403, 350, 447, 360], \"label\": \"referee\"},\n {\"box_2d\": [360, 434, 399, 443], \"label\": \"player\"},\n {\"box_2d\": [335, 463, 372, 474], \"label\": \"player\"},\n {\"box_2d\": [247, 490, 279, 498], \"label\": \"player\"},\n {\"box_2d\": [354, 586, 395, 596], \"label\": \"player\"},\n {\"box_2d\": [487, 563, 536, 576], \"label\": \"player\"},\n {\"box_2d\": [542, 583, 597, 596], \"label\": \"player\"},\n {\"box_2d\": [530, 606, 583, 620], \"label\": \"player\"},\n {\"box_2d\": [469, 675, 519, 689], \"label\": \"player\"},\n {\"box_2d\": [454, 722, 502, 736], \"label\": \"player\"},\n {\"box_2d\": [295, 690, 333, 699], \"label\": \"player\"},\n {\"box_2d\": [424, 801, 471, 813], \"label\": \"player\"},\n {\"box_2d\": [347, 914, 389, 927], \"label\": \"goalkeeper\"},\n {\"box_2d\": [640, 956, 698, 978], \"label\": \"referee\"}\n]\n```", "correct": false, "input_tokens": 1242, "output_tokens": 3449, "elapsed_seconds": 34.742330166045576, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6485148668289185, "attempts": 1, "retries": 0, "total_seconds": 34.8328}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 36, "image": "170567v_JPG_jpg.rf.b4ec6b9d23ca24e31da874cd6f035dfa.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [448, 270, 782, 853], \"label\": \"cracked insulator\"}\n]\n```", "correct": false, "input_tokens": 1244, "output_tokens": 1079, "elapsed_seconds": 17.505470999982208, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 6, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 17.8594}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 37, "image": "wood-log-detection_092_png_jpg.rf.b7bfbb1ba7a477ea02f5974fce28583e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [36, 336, 98, 390], \"label\": \"log cross-section\"},\n {\"box_2d\": [93, 383, 141, 422], \"label\": \"log cross-section\"},\n {\"box_2d\": [98, 320, 142, 356], \"label\": \"log cross-section\"},\n {\"box_2d\": [108, 281, 155, 322], \"label\": \"log cross-section\"},\n {\"box_2d\": [125, 214, 169, 256], \"label\": \"log cross-section\"},\n {\"box_2d\": [103, 466, 146, 498], \"label\": \"log cross-section\"},\n {\"box_2d\": [124, 431, 158, 459], \"label\": \"log cross-section\"},\n {\"box_2d\": [92, 495, 144, 536], \"label\": \"log cross-section\"},\n {\"box_2d\": [73, 530, 146, 586], \"label\": \"log cross-section\"},\n {\"box_2d\": [86, 626, 128, 660], \"label\": \"log cross-section\"},\n {\"box_2d\": [114, 585, 166, 623], \"label\": \"log cross-section\"},\n {\"box_2d\": [116, 646, 169, 688], \"label\": \"log cross-section\"},\n {\"box_2d\": [138, 678, 224, 743], \"label\": \"log cross-section\"},\n {\"box_2d\": [163, 742, 203, 777], \"label\": \"log cross-section\"},\n {\"box_2d\": [163, 779, 210, 813], \"label\": \"log cross-section\"},\n {\"box_2d\": [166, 807, 227, 851], \"label\": \"log cross-section\"},\n {\"box_2d\": [155, 260, 232, 317], \"label\": \"log cross-section\"},\n {\"box_2d\": [136, 319, 174, 349], \"label\": \"log cross-section\"},\n {\"box_2d\": [141, 349, 211, 404], \"label\": \"log cross-section\"},\n {\"box_2d\": [178, 405, 214, 433], \"label\": \"log cross-section\"},\n {\"box_2d\": [151, 434, 212, 476], \"label\": \"log cross-section\"},\n {\"box_2d\": [181, 468, 224, 502], \"label\": \"log cross-section\"},\n {\"box_2d\": [139, 498, 191, 539], \"label\": \"log cross-section\"},\n {\"box_2d\": [186, 494, 233, 534], \"label\": \"log cross-section\"},\n {\"box_2d\": [151, 531, 217, 585], \"label\": \"log cross-section\"},\n {\"box_2d\": [173, 582, 222, 622], \"label\": \"log cross-section\"},\n {\"box_2d\": [138, 618, 174, 646], \"label\": \"log cross-section\"},\n {\"box_2d\": [163, 629, 229, 682], \"label\": \"log cross-section\"},\n {\"box_2d\": [200, 738, 260, 787], \"label\": \"log cross-section\"},\n {\"box_2d\": [221, 825, 271, 864], \"label\": \"log cross-section\"},\n {\"box_2d\": [233, 258, 300, 311], \"label\": \"log cross-section\"},\n {\"box_2d\": [214, 307, 274, 362], \"label\": \"log cross-section\"},\n {\"box_2d\": [226, 361, 285, 409], \"label\": \"log cross-section\"},\n {\"box_2d\": [202, 353, 233, 386], \"label\": \"log cross-section\"},\n {\"box_2d\": [214, 400, 252, 429], \"label\": \"log cross-section\"},\n {\"box_2d\": [226, 421, 279, 456], \"label\": \"log cross-section\"},\n {\"box_2d\": [231, 450, 285, 491], \"label\": \"log cross-section\"},\n {\"box_2d\": [231, 488, 273, 522], \"label\": \"log cross-section\"},\n {\"box_2d\": [209, 518, 255, 553], \"label\": \"log cross-section\"},\n {\"box_2d\": [255, 521, 302, 555], \"label\": \"log cross-section\"},\n {\"box_2d\": [212, 556, 275, 608], \"label\": \"log cross-section\"},\n {\"box_2d\": [221, 603, 281, 646], \"label\": \"log cross-section\"},\n {\"box_2d\": [245, 639, 313, 695], \"label\": \"log cross-section\"},\n {\"box_2d\": [237, 684, 278, 728], \"label\": \"log cross-section\"},\n {\"box_2d\": [257, 767, 306, 818], \"label\": \"log cross-section\"},\n {\"box_2d\": [300, 263, 348, 306], \"label\": \"log cross-section\"},\n {\"box_2d\": [273, 313, 345, 378], \"label\": \"log cross-section\"},\n {\"box_2d\": [276, 396, 323, 432], \"label\": \"log cross-section\"},\n {\"box_2d\": [273, 430, 336, 472], \"label\": \"log cross-section\"},\n {\"box_2d\": [271, 488, 322, 529], \"label\": \"log cross-section\"},\n {\"box_2d\": [269, 567, 336, 626], \"label\": \"log cross-section\"},\n {\"box_2d\": [308, 616, 360, 658], \"label\": \"log cross-section\"},\n {\"box_2d\": [311, 654, 348, 684], \"label\": \"log cross-section\"},\n {\"box_2d\": [307, 680, 379, 733], \"label\": \"log cross-section\"},\n {\"box_2d\": [322, 731, 378, 774], \"label\": \"log cross-section\"},\n {\"box_2d\": [297, 775, 357, 838], \"label\": \"log cross-section\"},\n {\"box_2d\": [347, 265, 396, 306], \"label\": \"log cross-section\"},\n {\"box_2d\": [342, 302, 389, 345], \"label\": \"log cross-section\"},\n {\"box_2d\": [331, 386, 385, 425], \"label\": \"log cross-section\"},\n {\"box_2d\": [334, 422, 375, 454], \"label\": \"log cross-section\"},\n {\"box_2d\": [320, 460, 390, 513], \"label\": \"log cross-section\"},\n {\"box_2d\": [318, 509, 365, 546], \"label\": \"log cross-section\"},\n {\"box_2d\": [308, 541, 355, 577], \"label\": \"log cross-section\"},\n {\"box_2d\": [354, 548, 399, 581], \"label\": \"log cross-section\"},\n {\"box_2d\": [346, 573, 391, 605], \"label\": \"log cross-section\"},\n {\"box_2d\": [377, 600, 421, 645], \"label\": \"log cross-section\"},\n {\"box_2d\": [388, 637, 444, 686], \"label\": \"log cross-section\"},\n {\"box_2d\": [378, 680, 426, 723], \"label\": \"log cross-section\"},\n {\"box_2d\": [368, 716, 419, 756], \"label\": \"log cross-section\"},\n {\"box_2d\": [359, 758, 429, 822], \"label\": \"log cross-section\"},\n {\"box_2d\": [393, 308, 442, 352], \"label\": \"log cross-section\"},\n {\"box_2d\": [365, 350, 415, 391], \"label\": \"log cross-section\"},\n {\"box_2d\": [412, 350, 452, 381], \"label\": \"log cross-section\"},\n {\"box_2d\": [393, 379, 449, 422], \"label\": \"log cross-section\"},\n {\"box_2d\": [377, 429, 434, 476], \"label\": \"log cross-section\"},\n {\"box_2d\": [391, 475, 440, 514], \"label\": \"log cross-section\"},\n {\"box_2d\": [388, 521, 438, 560], \"label\": \"log cross-section\"},\n {\"box_2d\": [391, 557, 449, 605], \"label\": \"log cross-section\"},\n {\"box_2d\": [415, 603, 458, 639], \"label\": \"log cross-section\"},\n {\"box_2d\": [437, 631, 477, 667], \"label\": \"log cross-section\"},\n {\"box_2d\": [418, 687, 471, 736], \"label\": \"log cross-section\"},\n {\"box_2d\": [405, 738, 451, 777], \"label\": \"log cross-section\"},\n {\"box_2d\": [442, 725, 482, 759], \"label\": \"log cross-section\"},\n {\"box_2d\": [432, 770, 478, 813], \"label\": \"log cross-section\"},\n {\"box_2d\": [426, 272, 492, 325], \"label\": \"log cross-section\"},\n {\"box_2d\": [445, 326, 498, 371], \"label\": \"log cross-section\"},\n {\"box_2d\": [445, 368, 492, 408], \"label\": \"log cross-section\"},\n {\"box_2d\": [426, 407, 473, 446], \"label\": \"log cross-section\"},\n {\"box_2d\": [472, 404, 523, 443], \"label\": \"log cross-section\"},\n {\"box_2d\": [425, 445, 484, 492], \"label\": \"log cross-section\"},\n {\"box_2d\": [425, 493, 482, 540], \"label\": \"log cross-section\"},\n {\"box_2d\": [444, 543, 487, 578], \"label\": \"log cross-section\"},\n {\"box_2d\": [449, 576, 493, 609], \"label\": \"log cross-section\"},\n {\"box_2d\": [465, 606, 507, 642], \"label\": \"log cross-section\"},\n {\"box_2d\": [483, 666, 535, 709], \"label\": \"log cross-section\"},\n {\"box_2d\": [466, 742, 536, 801], \"label\": \"log cross-section\"},\n {\"box_2d\": [493, 267, 566, 324], \"label\": \"log cross-section\"},\n {\"box_2d\": [507, 322, 546, 355], \"label\": \"log cross-section\"},\n {\"box_2d\": [505, 370, 567, 421], \"label\": \"log cross-section\"},\n {\"box_2d\": [536, 333, 593, 382], \"label\": \"log cross-section\"},\n {\"box_2d\": [528, 417, 588, 460], \"label\": \"log cross-section\"},\n {\"box_2d\": [483, 448, 548, 503], \"label\": \"log cross-section\"},\n {\"box_2d\": [511, 500, 560, 538], \"label\": \"log cross-section\"},\n {\"box_2d\": [510, 536, 582, 588], \"label\": \"log cross-section\"},\n {\"box_2d\": [490, 577, 543, 623], \"label\": \"log cross-section\"},\n {\"box_2d\": [504, 627, 564, 676], \"label\": \"log cross-section\"},\n {\"box_2d\": [508, 706, 571, 766], \"label\": \"log cross-section\"},\n {\"box_2d\": [532, 763, 578, 817], \"label\": \"log cross-section\"},\n {\"box_2d\": [552, 261, 597, 300], \"label\": \"log cross-section\"},\n {\"box_2d\": [589, 271, 654, 324], \"label\": \"log cross-section\"},\n {\"box_2d\": [586, 320, 644, 369], \"label\": \"log cross-section\"},\n {\"box_2d\": [577, 367, 646, 424], \"label\": \"log cross-section\"},\n {\"box_2d\": [548, 449, 626, 508], \"label\": \"log cross-section\"},\n {\"box_2d\": [563, 506, 622, 554], \"label\": \"log cross-section\"},\n {\"box_2d\": [604, 532, 658, 576], \"label\": \"log cross-section\"},\n {\"box_2d\": [545, 598, 597, 646], \"label\": \"log cross-section\"},\n {\"box_2d\": [568, 566, 640, 623], \"label\": \"log cross-section\"},\n {\"box_2d\": [561, 642, 613, 697], \"label\": \"log cross-section\"},\n {\"box_2d\": [547, 672, 613, 738], \"label\": \"log cross-section\"},\n {\"box_2d\": [580, 731, 641, 783], \"label\": \"log cross-section\"},\n {\"box_2d\": [576, 774, 636, 834], \"label\": \"log cross-section\"},\n {\"box_2d\": [651, 270, 687, 303], \"label\": \"log cross-section\"},\n {\"box_2d\": [642, 308, 706, 360], \"label\": \"log cross-section\"},\n {\"box_2d\": [641, 362, 699, 409], \"label\": \"log cross-section\"},\n {\"box_2d\": [633, 404, 677, 442], \"label\": \"log cross-section\"},\n {\"box_2d\": [611, 429, 653, 463], \"label\": \"log cross-section\"},\n {\"box_2d\": [612, 480, 649, 513], \"label\": \"log cross-section\"},\n {\"box_2d\": [646, 445, 698, 485], \"label\": \"log cross-section\"},\n {\"box_2d\": [646, 512, 703, 558], \"label\": \"log cross-section\"},\n {\"box_2d\": [641, 559, 694, 597], \"label\": \"log cross-section\"},\n {\"box_2d\": [607, 615, 668, 667], \"label\": \"log cross-section\"},\n {\"box_2d\": [604, 678, 653, 725], \"label\": \"log cross-section\"},\n {\"box_2d\": [647, 693, 695, 742], \"label\": \"log cross-section\"},\n {\"box_2d\": [631, 742, 706, 807], \"label\": \"log cross-section\"},\n {\"box_2d\": [683, 265, 750, 315], \"label\": \"log cross-section\"},\n {\"box_2d\": [712, 311, 779, 364], \"label\": \"log cross-section\"},\n {\"box_2d\": [696, 363, 758, 409], \"label\": \"log cross-section\"},\n {\"box_2d\": [673, 396, 729, 436], \"label\": \"log cross-section\"},\n {\"box_2d\": [693, 424, 747, 465], \"label\": \"log cross-section\"},\n {\"box_2d\": [681, 462, 767, 531], \"label\": \"log cross-section\"},\n {\"box_2d\": [694, 533, 765, 590], \"label\": \"log cross-section\"},\n {\"box_2d\": [675, 582, 729, 627], \"label\": \"log cross-section\"},\n {\"box_2d\": [662, 616, 710, 662], \"label\": \"log cross-section\"},\n {\"box_2d\": [680, 655, 727, 696], \"label\": \"log cross-section\"},\n {\"box_2d\": [706, 625, 757, 668], \"label\": \"log cross-section\"},\n {\"box_2d\": [714, 669, 764, 711], \"label\": \"log cross-section\"},\n {\"box_2d\": [688, 726, 739, 770], \"label\": \"log cross-section\"},\n {\"box_2d\": [711, 768, 755, 804], \"label\": \"log cross-section\"},\n {\"box_2d\": [769, 262, 839, 320], \"label\": \"log cross-section\"},\n {\"box_2d\": [774, 319, 822, 358], \"label\": \"log cross-section\"},\n {\"box_2d\": [755, 355, 791, 385], \"label\": \"log cross-section\"},\n {\"box_2d\": [786, 356, 844, 402], \"label\": \"log cross-section\"},\n {\"box_2d\": [741, 389, 804, 439], \"label\": \"log cross-section\"},\n {\"box_2d\": [777, 430, 841, 477], \"label\": \"log cross-section\"},\n {\"box_2d\": [762, 473, 830, 528], \"label\": \"log cross-section\"},\n {\"box_2d\": [763, 524, 813, 563], \"label\": \"log cross-section\"},\n {\"box_2d\": [730, 577, 826, 648], \"label\": \"log cross-section\"},\n {\"box_2d\": [753, 646, 811, 690], \"label\": \"log cross-section\"},\n {\"box_2d\": [750, 689, 805, 729], \"label\": \"log cross-section\"},\n {\"box_2d\": [739, 726, 816, 791], \"label\": \"log cross-section\"},\n {\"box_2d\": [774, 787, 817, 816], \"label\": \"log cross-section\"},\n {\"box_2d\": [844, 263, 895, 300], \"label\": \"log cross-section\"},\n {\"box_2d\": [830, 297, 909, 360], \"label\": \"log cross-section\"},\n {\"box_2d\": [848, 361, 907, 404], \"label\": \"log cross-section\"},\n {\"box_2d\": [837, 400, 899, 444], \"label\": \"log cross-section\"},\n {\"box_2d\": [800, 398, 846, 434], \"label\": \"log cross-section\"},\n {\"box_2d\": [869, 432, 908, 457], \"label\": \"log cross-section\"},\n {\"box_2d\": [830, 464, 913, 529], \"label\": \"log cross-section\"},\n {\"box_2d\": [809, 520, 856, 558], \"label\": \"log cross-section\"},\n {\"box_2d\": [828, 548, 869, 575], \"label\": \"log cross-section\"},\n {\"box_2d\": [851, 554, 913, 604], \"label\": \"log cross-section\"},\n {\"box_2d\": [833, 598, 891, 642], \"label\": \"log cross-section\"},\n {\"box_2d\": [805, 627, 871, 672], \"label\": \"log cross-section\"},\n {\"box_2d\": [800, 663, 868, 714], \"label\": \"log cross-section\"},\n {\"box_2d\": [877, 628, 916, 658], \"label\": \"log cross-section\"},\n {\"box_2d\": [822, 756, 885, 819], \"label\": \"log cross-section\"},\n {\"box_2d\": [866, 740, 916, 780], \"label\": \"log cross-section\"}\n]\n```", "correct": false, "input_tokens": 1228, "output_tokens": 10882, "elapsed_seconds": 88.83677712501958, "metadata": {"match_method": "map", "num_predictions": 177, "num_ground_truth": 206, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.4293768107891083, "attempts": 1, "retries": 0, "total_seconds": 88.8587}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 38, "image": "DJI_20230529111632_0087_T_JPG_jpg.rf.a0bcf6f9fb3a8158bd511491a1f333d9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [262, 884, 277, 897], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [265, 844, 277, 855], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [525, 757, 537, 769], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [535, 594, 548, 606], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [630, 680, 643, 692], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [645, 475, 657, 487], \"label\": \"solar panel hot spot\"}\n]\n```", "correct": false, "input_tokens": 1228, "output_tokens": 943, "elapsed_seconds": 9.32754229195416, "metadata": {"match_method": "map", "num_predictions": 6, "num_ground_truth": 9, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.28217819333076477, "attempts": 1, "retries": 0, "total_seconds": 9.3448}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 39, "image": "IMG_20260128_081648_jpg.rf.195a895d6fe7552e4b9d0fc4e44e0f46.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [623, 75, 723, 153], \"label\": \"white standard price tag\"},\n {\"box_2d\": [625, 149, 724, 237], \"label\": \"white standard price tag\"},\n {\"box_2d\": [626, 236, 725, 291], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [626, 290, 725, 371], \"label\": \"white standard price tag\"},\n {\"box_2d\": [628, 369, 725, 421], \"label\": \"white standard price tag\"},\n {\"box_2d\": [627, 420, 726, 493], \"label\": \"white standard price tag\"},\n {\"box_2d\": [627, 492, 726, 569], \"label\": \"white standard price tag\"},\n {\"box_2d\": [627, 568, 727, 641], \"label\": \"white standard price tag\"},\n {\"box_2d\": [618, 637, 951, 734], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [618, 715, 951, 804], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [632, 853, 727, 932], \"label\": \"white standard price tag\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 1690, "elapsed_seconds": 22.21768483298365, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 22.5367}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 40, "image": "m4_tire_2024-10-17_18_png_jpg.rf.b3da826931757f1612878ecf9680a260.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [89, 297, 179, 518], \"label\": \"tire size text\"},\n {\"box_2d\": [667, 191, 776, 268], \"label\": \"tire size text\"},\n {\"box_2d\": [877, 535, 956, 718], \"label\": \"tire size text\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 1464, "elapsed_seconds": 19.104111708002165, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 19.3601}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 41, "image": "IMG_3864_JPG.rf.85dd012a4824e9d1050c085dd0a2e519.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [350, 224, 421, 336], \"label\": \"100 poker chip\"},\n {\"box_2d\": [361, 397, 431, 509], \"label\": \"500 poker chip\"},\n {\"box_2d\": [467, 97, 545, 218], \"label\": \"500 poker chip\"},\n {\"box_2d\": [429, 286, 507, 405], \"label\": \"500 poker chip\"},\n {\"box_2d\": [428, 402, 506, 519], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [440, 513, 519, 633], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [405, 611, 481, 731], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [446, 706, 527, 833], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [425, 819, 505, 945], \"label\": \"100 poker chip\"},\n {\"box_2d\": [560, 41, 650, 169], \"label\": \"10000 poker chip\"},\n {\"box_2d\": [522, 217, 608, 344], \"label\": \"500 poker chip\"},\n {\"box_2d\": [518, 398, 605, 526], \"label\": \"500 poker chip\"},\n {\"box_2d\": [529, 526, 619, 656], \"label\": \"500 poker chip\"},\n {\"box_2d\": [515, 650, 604, 780], \"label\": \"500 poker chip\"},\n {\"box_2d\": [513, 779, 603, 913], \"label\": \"100 poker chip\"},\n {\"box_2d\": [607, 130, 704, 265], \"label\": \"500 poker chip\"},\n {\"box_2d\": [574, 297, 669, 431], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [601, 421, 699, 558], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [592, 706, 694, 847], \"label\": \"100 poker chip\"},\n {\"box_2d\": [661, 240, 766, 384], \"label\": \"500 poker chip\"},\n {\"box_2d\": [675, 495, 785, 640], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [674, 636, 784, 782], \"label\": \"500 poker chip\"},\n {\"box_2d\": [685, 797, 796, 949], \"label\": \"1000 poker chip\"}\n]\n```", "correct": true, "input_tokens": 1229, "output_tokens": 2571, "elapsed_seconds": 27.7413925830042, "metadata": {"match_method": "map", "num_predictions": 23, "num_ground_truth": 24, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9702969789505005, "attempts": 1, "retries": 0, "total_seconds": 28.2895}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 42, "image": "1217_2_jpg.rf.e0a2a15bcd44d66668e689fd59ca61fe.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [24, 139, 128, 236], \"label\": \"white bishop\"},\n {\"box_2d\": [0, 399, 125, 490], \"label\": \"white queen\"},\n {\"box_2d\": [2, 509, 129, 600], \"label\": \"white king\"},\n {\"box_2d\": [0, 909, 85, 990], \"label\": \"black pawn\"},\n {\"box_2d\": [169, 17, 243, 97], \"label\": \"black pawn\"},\n {\"box_2d\": [150, 647, 226, 722], \"label\": \"white pawn\"},\n {\"box_2d\": [181, 766, 255, 840], \"label\": \"white pawn\"},\n {\"box_2d\": [285, 152, 358, 230], \"label\": \"white pawn\"},\n {\"box_2d\": [288, 386, 360, 458], \"label\": \"black pawn\"},\n {\"box_2d\": [273, 624, 363, 716], \"label\": \"white bishop\"},\n {\"box_2d\": [310, 868, 382, 949], \"label\": \"black pawn\"},\n {\"box_2d\": [411, 25, 483, 108], \"label\": \"white pawn\"},\n {\"box_2d\": [404, 297, 477, 372], \"label\": \"white pawn\"},\n {\"box_2d\": [386, 507, 474, 597], \"label\": \"black bishop\"},\n {\"box_2d\": [395, 640, 477, 732], \"label\": \"white knight\"},\n {\"box_2d\": [424, 769, 503, 871], \"label\": \"black knight\"},\n {\"box_2d\": [432, 902, 503, 982], \"label\": \"white pawn\"},\n {\"box_2d\": [546, 0, 626, 114], \"label\": \"black knight\"},\n {\"box_2d\": [514, 123, 599, 232], \"label\": \"black queen\"},\n {\"box_2d\": [527, 276, 598, 348], \"label\": \"black pawn\"},\n {\"box_2d\": [517, 398, 597, 480], \"label\": \"white rook\"},\n {\"box_2d\": [560, 608, 631, 681], \"label\": \"white pawn\"},\n {\"box_2d\": [649, 631, 740, 722], \"label\": \"white queen\"},\n {\"box_2d\": [649, 877, 720, 956], \"label\": \"white pawn\"},\n {\"box_2d\": [760, 17, 845, 117], \"label\": \"white rook\"},\n {\"box_2d\": [764, 161, 856, 253], \"label\": \"black bishop\"},\n {\"box_2d\": [782, 398, 855, 469], \"label\": \"black pawn\"},\n {\"box_2d\": [746, 747, 855, 854], \"label\": \"black king\"},\n {\"box_2d\": [899, 0, 995, 113], \"label\": \"white knight\"},\n {\"box_2d\": [881, 400, 974, 482], \"label\": \"black rook\"},\n {\"box_2d\": [900, 641, 994, 723], \"label\": \"black rook\"},\n {\"box_2d\": [886, 882, 1000, 999], \"label\": \"black queen\"}\n]\n```", "correct": true, "input_tokens": 1259, "output_tokens": 2932, "elapsed_seconds": 28.5656761249993, "metadata": {"match_method": "map", "num_predictions": 32, "num_ground_truth": 32, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 28.7508}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 43, "image": "fabric-defect_904_jpg.rf.1cf391ad7827c3f000e3c8ea35472e5d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [402, 458, 514, 528], \"label\": \"fabric cut\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 246, "elapsed_seconds": 4.572654708055779, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 4.5916}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 44, "image": "20210325_204058_jpg.rf.29e7808c087a71e473dd9c19badaff2c.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [257, 63, 444, 249], \"label\": \"5 euro cent coin\"},\n {\"box_2d\": [150, 431, 366, 646], \"label\": \"50 euro cent coin\"},\n {\"box_2d\": [347, 267, 577, 498], \"label\": \"2 euro coin\"},\n {\"box_2d\": [366, 645, 535, 818], \"label\": \"2 euro cent coin\"},\n {\"box_2d\": [500, 511, 646, 658], \"label\": \"1 euro cent coin\"},\n {\"box_2d\": [563, 691, 744, 875], \"label\": \"10 euro cent coin\"},\n {\"box_2d\": [605, 150, 807, 353], \"label\": \"20 euro cent coin\"},\n {\"box_2d\": [700, 440, 914, 650], \"label\": \"1 euro coin\"}\n]\n```", "correct": true, "input_tokens": 1272, "output_tokens": 1121, "elapsed_seconds": 10.717297666007653, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 10.7329}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 45, "image": "9999942_00000_d_0000135_jpg.rf.52553444f2adb8d7ba245527bc1de4b5.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [812, 136, 926, 186], \"label\": \"car\"},\n {\"box_2d\": [693, 103, 791, 158], \"label\": \"car\"},\n {\"box_2d\": [571, 373, 634, 449], \"label\": \"car\"},\n {\"box_2d\": [608, 520, 650, 590], \"label\": \"car\"},\n {\"box_2d\": [549, 535, 591, 603], \"label\": \"van\"},\n {\"box_2d\": [606, 667, 646, 721], \"label\": \"car\"},\n {\"box_2d\": [525, 10, 571, 76], \"label\": \"van\"},\n {\"box_2d\": [386, 150, 434, 184], \"label\": \"car\"},\n {\"box_2d\": [318, 175, 380, 206], \"label\": \"car\"},\n {\"box_2d\": [237, 134, 292, 181], \"label\": \"car\"},\n {\"box_2d\": [157, 168, 192, 209], \"label\": \"car\"},\n {\"box_2d\": [126, 169, 164, 229], \"label\": \"car\"},\n {\"box_2d\": [95, 173, 129, 231], \"label\": \"car\"},\n {\"box_2d\": [44, 239, 102, 267], \"label\": \"car\"},\n {\"box_2d\": [0, 192, 34, 256], \"label\": \"van\"},\n {\"box_2d\": [26, 295, 92, 323], \"label\": \"car\"},\n {\"box_2d\": [0, 307, 24, 333], \"label\": \"car\"},\n {\"box_2d\": [92, 281, 171, 315], \"label\": \"van\"},\n {\"box_2d\": [188, 269, 259, 302], \"label\": \"car\"},\n {\"box_2d\": [0, 380, 41, 403], \"label\": \"van\"},\n {\"box_2d\": [20, 405, 76, 432], \"label\": \"car\"},\n {\"box_2d\": [134, 393, 198, 421], \"label\": \"car\"},\n {\"box_2d\": [236, 374, 336, 415], \"label\": \"truck\"}\n]\n```", "correct": false, "input_tokens": 1215, "output_tokens": 2126, "elapsed_seconds": 18.45552920899354, "metadata": {"match_method": "map", "num_predictions": 23, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.2585614323616028, "attempts": 1, "retries": 0, "total_seconds": 18.5388}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 46, "image": "tire_2024-09-25_27_png_jpg.rf.86e579b04ca3a3e9f7a480c31239539e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [78, 272, 165, 470], \"label\": \"tire size text\"},\n {\"box_2d\": [332, 807, 395, 844], \"label\": \"tire size text\"},\n {\"box_2d\": [894, 471, 954, 679], \"label\": \"tire size text\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 612, "elapsed_seconds": 11.105961874942295, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 11.4386}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 47, "image": "Container-144_jpg.rf.4f556fc57071dc9d870c03989b923d26.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [250, 555, 277, 736], \"label\": \"shipping container number\"},\n {\"box_2d\": [284, 556, 308, 608], \"label\": \"container ISO type code\"}\n]\n```", "correct": true, "input_tokens": 1232, "output_tokens": 386, "elapsed_seconds": 4.8608552910154685, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 4.8754}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 48, "image": "frame_0151_jpg.rf.6c7fef6c392aec746239d36e4257e862.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [130, 127, 197, 172], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [300, 115, 368, 165], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [426, 84, 502, 139], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [615, 86, 704, 133], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [788, 67, 874, 131], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [140, 237, 207, 280], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [292, 247, 357, 286], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [468, 206, 530, 245], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [500, 254, 573, 297], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [720, 236, 798, 282], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [894, 238, 962, 288], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [110, 334, 170, 370], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [215, 339, 283, 376], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [339, 333, 409, 372], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [579, 365, 646, 406], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [641, 369, 712, 412], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [115, 426, 174, 460], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [197, 442, 259, 475], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [275, 444, 347, 483], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [491, 466, 557, 501], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [166, 531, 226, 567], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [264, 538, 321, 575], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [418, 569, 485, 606], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [780, 581, 850, 621], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [348, 647, 407, 682], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [472, 673, 536, 709], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [21, 549, 77, 583], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [1, 347, 48, 381], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [4, 413, 51, 446], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 517, 50, 547], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 250, 44, 284], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 610, 53, 637], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [4, 380, 44, 410], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [15, 443, 53, 470], \"label\": \"garlic on conveyor\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 3264, "elapsed_seconds": 28.796642916975543, "metadata": {"match_method": "map", "num_predictions": 34, "num_ground_truth": 27, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 28.8947}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 49, "image": "4106884_ContLeftUpper_f_jpg.rf.92488d92926163302f246be3b53efb13.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [228, 23, 250, 45], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [223, 100, 251, 123], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [226, 179, 253, 203], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [230, 258, 255, 281], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [233, 337, 257, 360], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [237, 417, 258, 439], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [239, 495, 259, 517], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [241, 574, 259, 595], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [334, 613, 358, 636], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [410, 221, 435, 243], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [414, 299, 440, 323], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [420, 380, 445, 401], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [424, 459, 447, 480], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [428, 538, 450, 558], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [521, 66, 547, 88], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [522, 144, 549, 166], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [526, 223, 548, 244], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [526, 300, 551, 323], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [528, 381, 550, 402], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [532, 460, 551, 481], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [532, 616, 550, 636], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [648, 304, 669, 326], \"label\": \"shipping container wall dent\"}\n]\n```", "correct": false, "input_tokens": 1219, "output_tokens": 2879, "elapsed_seconds": 25.640418000053614, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 25.7536}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 50, "image": "img_459031286691397716_png.rf.6de9abc735878b2b2cc1f1fa95486a5f.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [38, 162, 164, 304], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [128, 146, 253, 291], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [221, 126, 353, 280], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [323, 102, 462, 265], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [437, 79, 576, 255], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [559, 47, 698, 236], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [696, 17, 840, 219], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [841, 0, 1000, 195], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [8, 297, 130, 431], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [96, 286, 218, 427], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [186, 274, 314, 421], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [283, 256, 415, 413], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [391, 244, 526, 407], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [511, 224, 649, 396], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [646, 206, 788, 389], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [788, 180, 944, 376], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [47, 421, 166, 557], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [134, 414, 258, 557], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [228, 408, 355, 556], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [332, 396, 463, 550], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [443, 392, 577, 553], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [566, 374, 704, 545], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [703, 369, 846, 550], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [846, 355, 1000, 547], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [12, 543, 134, 681], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [98, 543, 221, 684], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [189, 542, 313, 687], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [287, 537, 419, 691], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [397, 537, 530, 698], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [516, 533, 651, 701], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [647, 533, 789, 712], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [790, 531, 945, 720], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [49, 668, 175, 807], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [136, 672, 265, 818], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [232, 677, 362, 829], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [333, 679, 467, 842], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [447, 683, 581, 858], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [572, 687, 710, 868], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [709, 696, 851, 888], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [851, 706, 1000, 913], \"label\": \"empty portable gas cylinder\"}\n]\n```", "correct": true, "input_tokens": 1203, "output_tokens": 2639, "elapsed_seconds": 23.34753320796881, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 40, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 23.4369}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 51, "image": "1668147211__jpg.rf.0ee3d637cd990a070a8c1bcc234c9d5a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [655, 29, 700, 56], \"label\": \"six die\"},\n {\"box_2d\": [892, 113, 941, 142], \"label\": \"one die\"},\n {\"box_2d\": [622, 177, 673, 207], \"label\": \"six die\"},\n {\"box_2d\": [637, 208, 695, 242], \"label\": \"four die\"},\n {\"box_2d\": [757, 222, 817, 256], \"label\": \"five die\"},\n {\"box_2d\": [432, 199, 487, 230], \"label\": \"five die\"},\n {\"box_2d\": [373, 193, 419, 220], \"label\": \"three die\"},\n {\"box_2d\": [254, 194, 315, 228], \"label\": \"five die\"},\n {\"box_2d\": [210, 218, 268, 252], \"label\": \"two die\"},\n {\"box_2d\": [251, 239, 302, 268], \"label\": \"three die\"},\n {\"box_2d\": [153, 255, 211, 287], \"label\": \"five die\"},\n {\"box_2d\": [106, 243, 162, 274], \"label\": \"three die\"},\n {\"box_2d\": [219, 296, 272, 326], \"label\": \"two die\"},\n {\"box_2d\": [227, 341, 285, 372], \"label\": \"five die\"},\n {\"box_2d\": [190, 365, 249, 399], \"label\": \"three die\"},\n {\"box_2d\": [245, 371, 304, 404], \"label\": \"one die\"},\n {\"box_2d\": [272, 400, 322, 427], \"label\": \"one die\"},\n {\"box_2d\": [329, 369, 383, 399], \"label\": \"six die\"},\n {\"box_2d\": [392, 418, 439, 444], \"label\": \"five die\"},\n {\"box_2d\": [354, 447, 413, 480], \"label\": \"two die\"},\n {\"box_2d\": [178, 455, 232, 484], \"label\": \"one die\"},\n {\"box_2d\": [243, 458, 303, 492], \"label\": \"four die\"},\n {\"box_2d\": [236, 491, 294, 521], \"label\": \"three die\"},\n {\"box_2d\": [351, 555, 411, 589], \"label\": \"six die\"},\n {\"box_2d\": [529, 304, 582, 334], \"label\": \"one die\"},\n {\"box_2d\": [619, 308, 672, 338], \"label\": \"one die\"},\n {\"box_2d\": [602, 379, 658, 410], \"label\": \"three die\"},\n {\"box_2d\": [579, 416, 630, 445], \"label\": \"four die\"},\n {\"box_2d\": [651, 398, 703, 427], \"label\": \"six die\"},\n {\"box_2d\": [682, 425, 738, 456], \"label\": \"four die\"},\n {\"box_2d\": [662, 450, 715, 479], \"label\": \"three die\"},\n {\"box_2d\": [619, 507, 666, 533], \"label\": \"one die\"},\n {\"box_2d\": [658, 526, 711, 555], \"label\": \"four die\"},\n {\"box_2d\": [777, 471, 829, 501], \"label\": \"three die\"},\n {\"box_2d\": [780, 536, 830, 563], \"label\": \"one die\"},\n {\"box_2d\": [692, 616, 751, 649], \"label\": \"three die\"},\n {\"box_2d\": [854, 579, 908, 610], \"label\": \"two die\"},\n {\"box_2d\": [54, 648, 113, 681], \"label\": \"six die\"},\n {\"box_2d\": [89, 673, 151, 707], \"label\": \"three die\"},\n {\"box_2d\": [149, 769, 206, 802], \"label\": \"two die\"},\n {\"box_2d\": [284, 739, 339, 770], \"label\": \"three die\"},\n {\"box_2d\": [288, 869, 342, 902], \"label\": \"five die\"},\n {\"box_2d\": [427, 806, 478, 836], \"label\": \"two die\"},\n {\"box_2d\": [503, 799, 563, 834], \"label\": \"four die\"},\n {\"box_2d\": [504, 842, 562, 875], \"label\": \"four die\"},\n {\"box_2d\": [478, 862, 534, 895], \"label\": \"one die\"},\n {\"box_2d\": [583, 797, 636, 829], \"label\": \"two die\"},\n {\"box_2d\": [600, 839, 647, 867], \"label\": \"one die\"},\n {\"box_2d\": [600, 877, 659, 912], \"label\": \"two die\"},\n {\"box_2d\": [651, 800, 710, 834], \"label\": \"two die\"},\n {\"box_2d\": [648, 833, 701, 863], \"label\": \"one die\"}\n]\n```", "correct": true, "input_tokens": 1252, "output_tokens": 4321, "elapsed_seconds": 35.11860791698564, "metadata": {"match_method": "map", "num_predictions": 51, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8419672250747681, "attempts": 1, "retries": 0, "total_seconds": 35.1603}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 52, "image": "3533container_jpg.rf.12bfe57075507c019cfd5dc24dd08b40.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [374, 234, 465, 269], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [378, 318, 456, 349], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [497, 146, 563, 189], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [515, 76, 576, 138], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [610, 398, 665, 437], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [626, 474, 667, 513], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [624, 312, 673, 350], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [630, 555, 670, 591], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [455, 643, 495, 674], \"label\": \"shipping container wall dent\"}\n]\n```", "correct": false, "input_tokens": 1219, "output_tokens": 1480, "elapsed_seconds": 17.37626524991356, "metadata": {"match_method": "map", "num_predictions": 9, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5115511417388916, "attempts": 1, "retries": 0, "total_seconds": 17.4614}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 53, "image": "DJI_20230529095121_0346_T_JPG_jpg.rf.a2baa2ffdce5ec84e5f5d22342f6b310.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [319, 304, 333, 318], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [327, 428, 339, 440], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [248, 627, 353, 648], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [460, 917, 473, 930], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [703, 466, 721, 481], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [706, 504, 722, 517], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [714, 592, 726, 603], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [828, 859, 844, 874], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [830, 902, 845, 916], \"label\": \"solar panel hot spot\"}\n]\n```", "correct": false, "input_tokens": 1228, "output_tokens": 1124, "elapsed_seconds": 11.015615542070009, "metadata": {"match_method": "map", "num_predictions": 9, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7552255392074585, "attempts": 1, "retries": 0, "total_seconds": 11.0299}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 54, "image": "IMG_20250815_170041_jpg.rf.a65978ab35e2cb48c68d9eebdeaab87b.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [584, 309, 672, 412], \"label\": \"barcode\"},\n {\"box_2d\": [664, 0, 758, 75], \"label\": \"barcode\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 765, "elapsed_seconds": 12.677402792032808, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 12.9732}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 55, "image": "1_000070_png.rf.a431761eff2c713a18daff7bade25bde.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [279, 55, 314, 68], \"label\": \"tire spike normal\"},\n {\"box_2d\": [184, 87, 220, 101], \"label\": \"tire spike normal\"},\n {\"box_2d\": [235, 136, 272, 150], \"label\": \"tire spike absent\"},\n {\"box_2d\": [158, 193, 193, 205], \"label\": \"tire spike normal\"},\n {\"box_2d\": [214, 245, 250, 260], \"label\": \"tire spike normal\"},\n {\"box_2d\": [297, 286, 333, 300], \"label\": \"tire spike normal\"},\n {\"box_2d\": [191, 353, 232, 367], \"label\": \"tire spike normal\"},\n {\"box_2d\": [302, 395, 340, 411], \"label\": \"tire spike absent\"},\n {\"box_2d\": [197, 466, 248, 483], \"label\": \"tire spike normal\"},\n {\"box_2d\": [187, 521, 229, 537], \"label\": \"tire spike normal\"},\n {\"box_2d\": [247, 594, 294, 610], \"label\": \"tire spike normal\"},\n {\"box_2d\": [219, 649, 257, 663], \"label\": \"tire spike normal\"},\n {\"box_2d\": [272, 717, 311, 730], \"label\": \"tire spike normal\"},\n {\"box_2d\": [234, 764, 268, 774], \"label\": \"tire spike normal\"},\n {\"box_2d\": [298, 820, 330, 830], \"label\": \"tire spike normal\"},\n {\"box_2d\": [384, 859, 414, 868], \"label\": \"tire spike normal\"},\n {\"box_2d\": [293, 896, 324, 904], \"label\": \"tire spike normal\"},\n {\"box_2d\": [395, 920, 424, 928], \"label\": \"tire spike normal\"},\n {\"box_2d\": [310, 945, 337, 952], \"label\": \"tire spike normal\"},\n {\"box_2d\": [669, 50, 701, 62], \"label\": \"tire spike normal\"},\n {\"box_2d\": [584, 70, 622, 85], \"label\": \"tire spike normal\"},\n {\"box_2d\": [686, 101, 718, 114], \"label\": \"tire spike normal\"},\n {\"box_2d\": [622, 137, 658, 152], \"label\": \"tire spike normal\"},\n {\"box_2d\": [705, 177, 745, 191], \"label\": \"tire spike absent\"},\n {\"box_2d\": [756, 228, 796, 243], \"label\": \"tire spike absent\"},\n {\"box_2d\": [728, 284, 767, 298], \"label\": \"tire spike normal\"},\n {\"box_2d\": [639, 331, 680, 346], \"label\": \"tire spike normal\"},\n {\"box_2d\": [745, 391, 783, 405], \"label\": \"tire spike absent\"},\n {\"box_2d\": [663, 446, 705, 462], \"label\": \"tire spike normal\"},\n {\"box_2d\": [765, 503, 807, 521], \"label\": \"tire spike normal\"},\n {\"box_2d\": [814, 572, 856, 588], \"label\": \"tire spike normal\"},\n {\"box_2d\": [780, 635, 816, 648], \"label\": \"tire spike absent\"},\n {\"box_2d\": [824, 695, 865, 709], \"label\": \"tire spike absent\"},\n {\"box_2d\": [792, 754, 829, 765], \"label\": \"tire spike normal\"},\n {\"box_2d\": [833, 801, 871, 813], \"label\": \"tire spike absent\"},\n {\"box_2d\": [784, 849, 822, 860], \"label\": \"tire spike absent\"},\n {\"box_2d\": [704, 886, 738, 895], \"label\": \"tire spike normal\"},\n {\"box_2d\": [789, 910, 821, 920], \"label\": \"tire spike absent\"},\n {\"box_2d\": [696, 940, 725, 947], \"label\": \"tire spike normal\"}\n]\n```", "correct": false, "input_tokens": 1222, "output_tokens": 4257, "elapsed_seconds": 31.381907999981195, "metadata": {"match_method": "map", "num_predictions": 39, "num_ground_truth": 46, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5252197980880737, "attempts": 1, "retries": 0, "total_seconds": 31.4446}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 56, "image": "egg-detection_image148_jpg.rf.7ef43d25f8e9b9b7f3d805f238830ff7.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [21, 706, 93, 759], \"label\": \"egg\"},\n {\"box_2d\": [56, 569, 134, 625], \"label\": \"egg\"},\n {\"box_2d\": [105, 613, 185, 675], \"label\": \"egg\"},\n {\"box_2d\": [110, 686, 187, 740], \"label\": \"egg\"},\n {\"box_2d\": [161, 517, 239, 577], \"label\": \"egg\"},\n {\"box_2d\": [222, 699, 302, 754], \"label\": \"egg\"},\n {\"box_2d\": [276, 661, 359, 720], \"label\": \"egg\"},\n {\"box_2d\": [334, 713, 419, 771], \"label\": \"egg\"},\n {\"box_2d\": [407, 533, 493, 595], \"label\": \"egg\"},\n {\"box_2d\": [402, 631, 488, 694], \"label\": \"egg\"},\n {\"box_2d\": [442, 761, 550, 804], \"label\": \"egg\"},\n {\"box_2d\": [512, 715, 594, 769], \"label\": \"egg\"},\n {\"box_2d\": [587, 594, 672, 659], \"label\": \"egg\"},\n {\"box_2d\": [581, 658, 666, 719], \"label\": \"egg\"},\n {\"box_2d\": [631, 699, 718, 759], \"label\": \"egg\"},\n {\"box_2d\": [626, 757, 708, 809], \"label\": \"egg\"},\n {\"box_2d\": [706, 616, 789, 676], \"label\": \"egg\"},\n {\"box_2d\": [774, 519, 855, 581], \"label\": \"egg\"},\n {\"box_2d\": [754, 658, 837, 717], \"label\": \"egg\"},\n {\"box_2d\": [740, 742, 818, 795], \"label\": \"egg\"},\n {\"box_2d\": [802, 698, 882, 756], \"label\": \"egg\"},\n {\"box_2d\": [908, 677, 984, 733], \"label\": \"egg\"},\n {\"box_2d\": [892, 732, 976, 773], \"label\": \"egg\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 1649, "elapsed_seconds": 16.321088082971983, "metadata": {"match_method": "map", "num_predictions": 23, "num_ground_truth": 23, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 16.4158}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 57, "image": "wood-log-detection_024_png_jpg.rf.263e49a755104b6d29dbdffe768891e9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [64, 293, 123, 381], \"label\": \"log cross-section\"},\n {\"box_2d\": [100, 412, 145, 469], \"label\": \"log cross-section\"},\n {\"box_2d\": [119, 658, 147, 692], \"label\": \"log cross-section\"},\n {\"box_2d\": [125, 239, 164, 297], \"label\": \"log cross-section\"},\n {\"box_2d\": [125, 469, 155, 502], \"label\": \"log cross-section\"},\n {\"box_2d\": [144, 283, 178, 320], \"label\": \"log cross-section\"},\n {\"box_2d\": [147, 317, 186, 367], \"label\": \"log cross-section\"},\n {\"box_2d\": [148, 444, 188, 491], \"label\": \"log cross-section\"},\n {\"box_2d\": [148, 656, 205, 728], \"label\": \"log cross-section\"},\n {\"box_2d\": [152, 533, 203, 600], \"label\": \"log cross-section\"},\n {\"box_2d\": [167, 387, 198, 425], \"label\": \"log cross-section\"},\n {\"box_2d\": [169, 245, 223, 314], \"label\": \"log cross-section\"},\n {\"box_2d\": [173, 600, 222, 659], \"label\": \"log cross-section\"},\n {\"box_2d\": [184, 511, 217, 552], \"label\": \"log cross-section\"},\n {\"box_2d\": [189, 319, 238, 380], \"label\": \"log cross-section\"},\n {\"box_2d\": [198, 698, 234, 744], \"label\": \"log cross-section\"},\n {\"box_2d\": [200, 423, 238, 478], \"label\": \"log cross-section\"},\n {\"box_2d\": [205, 620, 255, 686], \"label\": \"log cross-section\"},\n {\"box_2d\": [214, 238, 242, 280], \"label\": \"log cross-section\"},\n {\"box_2d\": [214, 488, 241, 522], \"label\": \"log cross-section\"},\n {\"box_2d\": [220, 566, 250, 598], \"label\": \"log cross-section\"},\n {\"box_2d\": [222, 519, 264, 567], \"label\": \"log cross-section\"},\n {\"box_2d\": [223, 292, 259, 338], \"label\": \"log cross-section\"},\n {\"box_2d\": [230, 439, 267, 483], \"label\": \"log cross-section\"},\n {\"box_2d\": [236, 386, 275, 433], \"label\": \"log cross-section\"},\n {\"box_2d\": [247, 322, 281, 366], \"label\": \"log cross-section\"},\n {\"box_2d\": [250, 245, 297, 311], \"label\": \"log cross-section\"},\n {\"box_2d\": [250, 489, 283, 534], \"label\": \"log cross-section\"},\n {\"box_2d\": [250, 664, 306, 738], \"label\": \"log cross-section\"},\n {\"box_2d\": [256, 558, 314, 627], \"label\": \"log cross-section\"},\n {\"box_2d\": [266, 419, 308, 481], \"label\": \"log cross-section\"},\n {\"box_2d\": [267, 625, 300, 666], \"label\": \"log cross-section\"},\n {\"box_2d\": [277, 350, 312, 395], \"label\": \"log cross-section\"},\n {\"box_2d\": [292, 472, 327, 517], \"label\": \"log cross-section\"},\n {\"box_2d\": [292, 689, 334, 742], \"label\": \"log cross-section\"},\n {\"box_2d\": [294, 533, 331, 581], \"label\": \"log cross-section\"},\n {\"box_2d\": [297, 414, 341, 478], \"label\": \"log cross-section\"},\n {\"box_2d\": [305, 392, 338, 420], \"label\": \"log cross-section\"},\n {\"box_2d\": [306, 241, 344, 295], \"label\": \"log cross-section\"},\n {\"box_2d\": [325, 639, 355, 691], \"label\": \"log cross-section\"}\n]\n```", "correct": true, "input_tokens": 1228, "output_tokens": 5061, "elapsed_seconds": 44.73889108397998, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 40, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 44.7542}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 58, "image": "img_458587397241176242_png.rf.41b1d861ca437ce5097848dacad76db8.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [171, 250, 267, 366], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [250, 244, 349, 362], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [332, 224, 438, 353], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [423, 209, 533, 345], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [518, 189, 631, 336], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [623, 169, 735, 323], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [735, 146, 853, 311], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [856, 121, 991, 297], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [126, 362, 221, 474], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [205, 353, 305, 470], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [289, 342, 396, 466], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [377, 331, 490, 462], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [474, 319, 588, 456], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [577, 305, 692, 449], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [691, 289, 809, 447], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [811, 270, 945, 444], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [146, 464, 246, 583], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [230, 462, 335, 585], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [318, 458, 429, 585], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [412, 451, 526, 585], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [512, 442, 628, 588], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [623, 436, 742, 586], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [742, 426, 868, 589], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [868, 412, 1000, 582], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [100, 583, 204, 706], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [182, 581, 291, 708], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [269, 578, 382, 710], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [362, 577, 480, 714], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [464, 575, 584, 717], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [574, 576, 697, 725], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [694, 574, 821, 731], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [824, 569, 970, 741], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [120, 699, 230, 832], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [207, 703, 320, 838], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [297, 705, 415, 845], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [395, 709, 518, 856], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [502, 713, 628, 868], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [622, 719, 749, 882], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [748, 722, 882, 896], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [882, 729, 1000, 913], \"label\": \"empty portable gas cylinder\"}\n]\n```", "correct": false, "input_tokens": 1208, "output_tokens": 4748, "elapsed_seconds": 44.23975616705138, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 40, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.44627004861831665, "attempts": 1, "retries": 0, "total_seconds": 44.3223}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 59, "image": "frame_0008_jpg.rf.87aed24f253375f69a3bb398f6521d18.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [38, 341, 85, 365], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [31, 395, 73, 418], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [25, 451, 70, 474], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [27, 506, 70, 529], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [125, 333, 172, 357], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [116, 389, 163, 413], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [112, 447, 158, 471], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [112, 507, 159, 531], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [216, 326, 261, 350], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [208, 384, 253, 409], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [204, 446, 249, 471], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [204, 509, 248, 534], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [497, 315, 549, 343], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [511, 376, 563, 403], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [525, 437, 577, 466], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [539, 502, 590, 530], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [606, 302, 658, 329], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [624, 363, 677, 390], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [639, 425, 691, 454], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [653, 490, 705, 519], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [718, 296, 771, 322], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [737, 356, 790, 383], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [754, 420, 807, 447], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [769, 485, 821, 512], \"label\": \"soda bottle cap\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 2229, "elapsed_seconds": 23.36021008400712, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 24, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 23.742}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 60, "image": "uav20221018_ixfZ_3857_0_png.rf.68f3022f53a4bfe08c731fb3a58473cf.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [228, 336, 307, 405], \"label\": \"banana tree\"},\n {\"box_2d\": [203, 410, 273, 471], \"label\": \"banana tree\"},\n {\"box_2d\": [286, 407, 349, 471], \"label\": \"banana tree\"},\n {\"box_2d\": [322, 323, 391, 396], \"label\": \"banana tree\"},\n {\"box_2d\": [372, 400, 444, 480], \"label\": \"banana tree\"},\n {\"box_2d\": [416, 344, 469, 396], \"label\": \"banana tree\"},\n {\"box_2d\": [449, 405, 513, 475], \"label\": \"banana tree\"},\n {\"box_2d\": [495, 319, 570, 405], \"label\": \"banana tree\"},\n {\"box_2d\": [536, 407, 599, 463], \"label\": \"banana tree\"},\n {\"box_2d\": [583, 334, 659, 398], \"label\": \"banana tree\"},\n {\"box_2d\": [627, 407, 696, 481], \"label\": \"banana tree\"},\n {\"box_2d\": [668, 341, 740, 411], \"label\": \"banana tree\"},\n {\"box_2d\": [714, 416, 783, 474], \"label\": \"banana tree\"},\n {\"box_2d\": [750, 323, 829, 404], \"label\": \"banana tree\"},\n {\"box_2d\": [800, 404, 875, 481], \"label\": \"banana tree\"},\n {\"box_2d\": [844, 341, 912, 406], \"label\": \"banana tree\"},\n {\"box_2d\": [878, 406, 947, 484], \"label\": \"banana tree\"},\n {\"box_2d\": [930, 338, 991, 402], \"label\": \"banana tree\"},\n {\"box_2d\": [968, 409, 1000, 476], \"label\": \"banana tree\"},\n {\"box_2d\": [182, 681, 255, 756], \"label\": \"banana tree\"},\n {\"box_2d\": [236, 689, 314, 763], \"label\": \"banana tree\"},\n {\"box_2d\": [276, 631, 338, 690], \"label\": \"banana tree\"},\n {\"box_2d\": [313, 693, 401, 769], \"label\": \"banana tree\"},\n {\"box_2d\": [361, 619, 439, 692], \"label\": \"banana tree\"},\n {\"box_2d\": [398, 697, 482, 772], \"label\": \"banana tree\"},\n {\"box_2d\": [453, 623, 509, 697], \"label\": \"banana tree\"},\n {\"box_2d\": [477, 695, 560, 772], \"label\": \"banana tree\"},\n {\"box_2d\": [529, 619, 608, 699], \"label\": \"banana tree\"},\n {\"box_2d\": [569, 705, 650, 778], \"label\": \"banana tree\"},\n {\"box_2d\": [621, 643, 678, 706], \"label\": \"banana tree\"},\n {\"box_2d\": [660, 695, 738, 780], \"label\": \"banana tree\"},\n {\"box_2d\": [701, 624, 774, 709], \"label\": \"banana tree\"},\n {\"box_2d\": [739, 701, 813, 777], \"label\": \"banana tree\"},\n {\"box_2d\": [788, 638, 861, 700], \"label\": \"banana tree\"},\n {\"box_2d\": [826, 695, 902, 769], \"label\": \"banana tree\"},\n {\"box_2d\": [874, 623, 938, 705], \"label\": \"banana tree\"},\n {\"box_2d\": [907, 701, 986, 768], \"label\": \"banana tree\"},\n {\"box_2d\": [959, 624, 1000, 697], \"label\": \"banana tree\"},\n {\"box_2d\": [201, 940, 265, 987], \"label\": \"banana tree\"},\n {\"box_2d\": [284, 929, 369, 996], \"label\": \"banana tree\"},\n {\"box_2d\": [378, 926, 449, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [449, 935, 533, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [541, 920, 619, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [628, 940, 696, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [711, 928, 786, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [797, 946, 863, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [878, 935, 954, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [968, 943, 1000, 998], \"label\": \"banana tree\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 3157, "elapsed_seconds": 23.37733533408027, "metadata": {"match_method": "map", "num_predictions": 48, "num_ground_truth": 47, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9872112274169922, "attempts": 1, "retries": 0, "total_seconds": 23.4333}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 61, "image": "egg-detection_image32_jpg.rf.bd04bf65691e0bae0f1d97601289a543.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [449, 428, 535, 492], \"label\": \"egg\"},\n {\"box_2d\": [176, 694, 255, 753], \"label\": \"egg\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 250, "elapsed_seconds": 5.64519425004255, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 5.7429}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 62, "image": "construction-safety_ppe_0407_jpg.rf.b54d8bba5b223e0515f3d28ff728e79a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [375, 333, 820, 415], \"label\": \"person\"},\n {\"box_2d\": [374, 353, 419, 383], \"label\": \"safety helmet\"},\n {\"box_2d\": [445, 342, 635, 394], \"label\": \"safety vest\"},\n {\"box_2d\": [358, 390, 779, 444], \"label\": \"person\"},\n {\"box_2d\": [358, 405, 401, 433], \"label\": \"safety helmet\"},\n {\"box_2d\": [425, 392, 588, 442], \"label\": \"safety vest\"},\n {\"box_2d\": [344, 456, 725, 512], \"label\": \"person\"},\n {\"box_2d\": [344, 464, 390, 495], \"label\": \"safety helmet\"},\n {\"box_2d\": [419, 456, 614, 506], \"label\": \"safety vest\"},\n {\"box_2d\": [356, 482, 676, 514], \"label\": \"person\"},\n {\"box_2d\": [408, 486, 549, 510], \"label\": \"safety vest\"},\n {\"box_2d\": [379, 518, 809, 576], \"label\": \"person\"},\n {\"box_2d\": [377, 536, 435, 567], \"label\": \"safety helmet\"},\n {\"box_2d\": [448, 524, 650, 574], \"label\": \"safety vest\"},\n {\"box_2d\": [401, 578, 807, 636], \"label\": \"person\"},\n {\"box_2d\": [399, 591, 442, 617], \"label\": \"safety helmet\"},\n {\"box_2d\": [464, 582, 652, 631], \"label\": \"safety vest\"},\n {\"box_2d\": [350, 642, 815, 697], \"label\": \"person\"},\n {\"box_2d\": [350, 655, 394, 683], \"label\": \"safety helmet\"},\n {\"box_2d\": [434, 647, 608, 695], \"label\": \"safety vest\"},\n {\"box_2d\": [308, 614, 989, 767], \"label\": \"person\"},\n {\"box_2d\": [309, 698, 375, 743], \"label\": \"safety helmet\"},\n {\"box_2d\": [401, 686, 679, 765], \"label\": \"safety vest\"},\n {\"box_2d\": [360, 726, 862, 774], \"label\": \"person\"},\n {\"box_2d\": [360, 734, 401, 753], \"label\": \"safety helmet\"},\n {\"box_2d\": [332, 808, 895, 895], \"label\": \"person\"},\n {\"box_2d\": [332, 823, 376, 861], \"label\": \"safety helmet\"},\n {\"box_2d\": [419, 825, 638, 891], \"label\": \"safety vest\"}\n]\n```", "correct": true, "input_tokens": 1220, "output_tokens": 3101, "elapsed_seconds": 30.483152291039005, "metadata": {"match_method": "map", "num_predictions": 28, "num_ground_truth": 28, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 30.5161}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 63, "image": "IMG_4931_jpg.rf.58c129944a1f2b663c55dbd43e27cf91.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [600, 249, 644, 270], \"label\": \"face\"},\n {\"box_2d\": [631, 342, 675, 365], \"label\": \"face\"},\n {\"box_2d\": [416, 250, 450, 267], \"label\": \"face\"},\n {\"box_2d\": [432, 281, 464, 297], \"label\": \"face\"},\n {\"box_2d\": [420, 376, 449, 391], \"label\": \"face\"},\n {\"box_2d\": [335, 399, 360, 412], \"label\": \"face\"},\n {\"box_2d\": [350, 429, 375, 443], \"label\": \"face\"},\n {\"box_2d\": [305, 491, 326, 502], \"label\": \"face\"},\n {\"box_2d\": [318, 523, 341, 535], \"label\": \"face\"},\n {\"box_2d\": [295, 525, 317, 537], \"label\": \"face\"},\n {\"box_2d\": [291, 555, 312, 566], \"label\": \"face\"},\n {\"box_2d\": [294, 606, 314, 616], \"label\": \"face\"},\n {\"box_2d\": [299, 634, 319, 645], \"label\": \"face\"},\n {\"box_2d\": [319, 632, 341, 644], \"label\": \"face\"},\n {\"box_2d\": [342, 613, 364, 625], \"label\": \"face\"},\n {\"box_2d\": [343, 645, 364, 656], \"label\": \"face\"},\n {\"box_2d\": [357, 597, 380, 609], \"label\": \"face\"},\n {\"box_2d\": [365, 623, 387, 636], \"label\": \"face\"},\n {\"box_2d\": [309, 669, 330, 680], \"label\": \"face\"},\n {\"box_2d\": [334, 694, 357, 706], \"label\": \"face\"},\n {\"box_2d\": [353, 725, 375, 736], \"label\": \"face\"},\n {\"box_2d\": [357, 756, 379, 767], \"label\": \"face\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 2158, "elapsed_seconds": 22.096195541904308, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 28, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7331233024597168, "attempts": 1, "retries": 0, "total_seconds": 22.4223}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 64, "image": "tile_232_jpg.rf.d215d900b9cd862d3217f88435d7ad8a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [592, 411, 650, 518], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [626, 548, 718, 745], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [671, 784, 732, 976], \"label\": \"ship in SAR satellite image\"}\n]\n```", "correct": true, "input_tokens": 1229, "output_tokens": 1246, "elapsed_seconds": 14.683470249990933, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 14.712}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 65, "image": "IMG_20250815_164441_jpg.rf.3c12e140b11a4091c99d31ed66a86850.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [146, 261, 202, 290], \"label\": \"barcode\"},\n {\"box_2d\": [154, 417, 181, 446], \"label\": \"barcode\"},\n {\"box_2d\": [180, 511, 236, 539], \"label\": \"barcode\"},\n {\"box_2d\": [92, 636, 150, 666], \"label\": \"barcode\"},\n {\"box_2d\": [596, 37, 623, 67], \"label\": \"barcode\"},\n {\"box_2d\": [514, 208, 569, 237], \"label\": \"barcode\"},\n {\"box_2d\": [602, 229, 629, 258], \"label\": \"barcode\"},\n {\"box_2d\": [502, 323, 558, 353], \"label\": \"barcode\"},\n {\"box_2d\": [611, 372, 638, 401], \"label\": \"barcode\"},\n {\"box_2d\": [499, 485, 526, 514], \"label\": \"barcode\"},\n {\"box_2d\": [614, 519, 642, 548], \"label\": \"barcode\"},\n {\"box_2d\": [506, 629, 561, 657], \"label\": \"barcode\"},\n {\"box_2d\": [620, 666, 647, 695], \"label\": \"barcode\"},\n {\"box_2d\": [533, 838, 590, 868], \"label\": \"barcode\"},\n {\"box_2d\": [629, 838, 654, 866], \"label\": \"barcode\"},\n {\"box_2d\": [632, 978, 658, 1000], \"label\": \"barcode\"},\n {\"box_2d\": [829, 41, 885, 70], \"label\": \"barcode\"},\n {\"box_2d\": [830, 214, 857, 243], \"label\": \"barcode\"},\n {\"box_2d\": [864, 396, 891, 424], \"label\": \"barcode\"},\n {\"box_2d\": [866, 524, 892, 553], \"label\": \"barcode\"},\n {\"box_2d\": [863, 653, 888, 681], \"label\": \"barcode\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 2537, "elapsed_seconds": 25.71107416599989, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 21, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 26.0364}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 66, "image": "car-part-detection_Car-damages-128_png_jpg.rf.e07bc73742c49cec70d8b7dc538a39d2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [500, 68, 577, 107], \"label\": \"headlight\"},\n {\"box_2d\": [557, 56, 772, 113], \"label\": \"front bumper\"},\n {\"box_2d\": [364, 72, 498, 318], \"label\": \"hood\"},\n {\"box_2d\": [224, 299, 417, 456], \"label\": \"windshield\"},\n {\"box_2d\": [344, 379, 417, 419], \"label\": \"mirror\"},\n {\"box_2d\": [221, 352, 415, 595], \"label\": \"front window\"},\n {\"box_2d\": [221, 316, 716, 593], \"label\": \"front door\"},\n {\"box_2d\": [217, 599, 392, 812], \"label\": \"back window\"},\n {\"box_2d\": [217, 563, 700, 812], \"label\": \"back door\"},\n {\"box_2d\": [243, 864, 369, 921], \"label\": \"back windshield\"},\n {\"box_2d\": [351, 895, 480, 932], \"label\": \"tail light\"},\n {\"box_2d\": [489, 853, 719, 950], \"label\": \"back bumper\"}\n]\n```", "correct": true, "input_tokens": 1224, "output_tokens": 1187, "elapsed_seconds": 12.276967582991347, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 13, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9587457776069641, "attempts": 1, "retries": 0, "total_seconds": 12.2968}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 67, "image": "Lego_73_low_jpeg.rf.bf207a14dd8d49e9b00aae2e1a8886e1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [61, 203, 130, 297], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [187, 239, 259, 334], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [228, 43, 304, 146], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [399, 41, 495, 113], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [455, 270, 550, 329], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [703, 94, 804, 169], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [608, 295, 658, 411], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [546, 392, 625, 483], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [588, 428, 651, 529], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [714, 395, 758, 496], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [413, 426, 482, 536], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [201, 453, 257, 557], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [105, 517, 183, 616], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [37, 680, 135, 785], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [234, 668, 317, 738], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [199, 764, 300, 825], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [184, 811, 286, 858], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [128, 841, 236, 886], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [160, 941, 246, 1000], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [379, 631, 474, 689], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [387, 682, 466, 773], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [410, 728, 485, 811], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [387, 808, 468, 877], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [527, 535, 603, 623], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [592, 588, 653, 691], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [720, 634, 782, 732], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [492, 797, 565, 862], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [569, 779, 651, 851], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [528, 851, 622, 947], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [636, 938, 726, 1000], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [706, 846, 789, 930], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [770, 893, 835, 969], \"label\": \"lego 3x2 brick\"}\n]\n```", "correct": true, "input_tokens": 1244, "output_tokens": 4417, "elapsed_seconds": 33.25486504205037, "metadata": {"match_method": "map", "num_predictions": 32, "num_ground_truth": 32, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8827882409095764, "attempts": 2, "retries": 1, "total_seconds": 95.9065, "transient_errors": ["RemoteProtocolError"]}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 68, "image": "IMG_6646_jpeg_jpg.rf.bb15616ff058bc9ba8f9683f61ab5fbb.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [345, 335, 411, 507], \"label\": \"green poker chip\"},\n {\"box_2d\": [387, 338, 427, 508], \"label\": \"green poker chip\"},\n {\"box_2d\": [401, 340, 444, 511], \"label\": \"green poker chip\"},\n {\"box_2d\": [416, 344, 460, 514], \"label\": \"green poker chip\"},\n {\"box_2d\": [432, 348, 477, 517], \"label\": \"green poker chip\"},\n {\"box_2d\": [447, 348, 493, 516], \"label\": \"green poker chip\"},\n {\"box_2d\": [451, 342, 511, 512], \"label\": \"green poker chip\"},\n {\"box_2d\": [311, 530, 372, 711], \"label\": \"green poker chip\"},\n {\"box_2d\": [347, 531, 389, 708], \"label\": \"green poker chip\"},\n {\"box_2d\": [359, 530, 404, 707], \"label\": \"green poker chip\"},\n {\"box_2d\": [375, 532, 421, 708], \"label\": \"green poker chip\"},\n {\"box_2d\": [392, 532, 438, 707], \"label\": \"green poker chip\"},\n {\"box_2d\": [406, 531, 454, 705], \"label\": \"green poker chip\"},\n {\"box_2d\": [421, 531, 470, 704], \"label\": \"green poker chip\"},\n {\"box_2d\": [435, 530, 484, 701], \"label\": \"green poker chip\"},\n {\"box_2d\": [447, 530, 499, 699], \"label\": \"green poker chip\"},\n {\"box_2d\": [459, 543, 522, 718], \"label\": \"green poker chip\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 1395, "elapsed_seconds": 13.66463058302179, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 17, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 13.688}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 69, "image": "41_jpg.rf.2cb4080a10f215e4bd4d6ed6d4ea3e68.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [24, 383, 88, 622], \"label\": \"blood sample tube\"},\n {\"box_2d\": [20, 622, 83, 866], \"label\": \"blood sample tube\"},\n {\"box_2d\": [77, 386, 144, 620], \"label\": \"blood sample tube\"},\n {\"box_2d\": [77, 626, 142, 876], \"label\": \"blood sample tube\"},\n {\"box_2d\": [134, 465, 200, 709], \"label\": \"blood sample tube\"},\n {\"box_2d\": [175, 631, 275, 885], \"label\": \"blood sample tube\"},\n {\"box_2d\": [24, 868, 355, 920], \"label\": \"blood sample tube\"},\n {\"box_2d\": [90, 329, 349, 513], \"label\": \"blood sample tube\"},\n {\"box_2d\": [235, 237, 549, 324], \"label\": \"blood sample tube\"},\n {\"box_2d\": [465, 179, 703, 382], \"label\": \"blood sample tube\"},\n {\"box_2d\": [549, 333, 731, 560], \"label\": \"blood sample tube\"},\n {\"box_2d\": [555, 416, 736, 643], \"label\": \"blood sample tube\"},\n {\"box_2d\": [337, 376, 608, 550], \"label\": \"blood sample tube\"},\n {\"box_2d\": [355, 474, 650, 623], \"label\": \"blood sample tube\"},\n {\"box_2d\": [230, 495, 535, 620], \"label\": \"blood sample tube\"},\n {\"box_2d\": [304, 616, 606, 748], \"label\": \"blood sample tube\"},\n {\"box_2d\": [396, 636, 681, 790], \"label\": \"blood sample tube\"},\n {\"box_2d\": [366, 720, 678, 845], \"label\": \"blood sample tube\"},\n {\"box_2d\": [345, 830, 678, 885], \"label\": \"blood sample tube\"},\n {\"box_2d\": [355, 881, 684, 929], \"label\": \"blood sample tube\"},\n {\"box_2d\": [676, 673, 736, 929], \"label\": \"blood sample tube\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 2513, "elapsed_seconds": 22.28032333299052, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 21, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 22.3062}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 70, "image": "construction-safety_ppe_0710_jpg.rf.d335438ef5819cfad67cee1d9e8c6eab.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [171, 46, 895, 185], \"label\": \"person\"},\n {\"box_2d\": [171, 102, 232, 163], \"label\": \"safety helmet\"},\n {\"box_2d\": [279, 73, 514, 179], \"label\": \"safety vest\"},\n {\"box_2d\": [226, 151, 896, 281], \"label\": \"person\"},\n {\"box_2d\": [226, 176, 297, 245], \"label\": \"safety helmet\"},\n {\"box_2d\": [340, 162, 588, 276], \"label\": \"safety vest\"},\n {\"box_2d\": [191, 246, 835, 355], \"label\": \"person\"},\n {\"box_2d\": [191, 277, 246, 330], \"label\": \"safety helmet\"},\n {\"box_2d\": [295, 255, 512, 349], \"label\": \"safety vest\"},\n {\"box_2d\": [218, 312, 868, 444], \"label\": \"person\"},\n {\"box_2d\": [218, 348, 276, 405], \"label\": \"safety helmet\"},\n {\"box_2d\": [328, 323, 558, 427], \"label\": \"safety vest\"},\n {\"box_2d\": [222, 434, 845, 567], \"label\": \"person\"},\n {\"box_2d\": [221, 461, 280, 518], \"label\": \"safety helmet\"},\n {\"box_2d\": [328, 449, 540, 548], \"label\": \"safety vest\"},\n {\"box_2d\": [279, 544, 891, 675], \"label\": \"person\"},\n {\"box_2d\": [278, 571, 337, 628], \"label\": \"safety helmet\"},\n {\"box_2d\": [388, 555, 622, 658], \"label\": \"safety vest\"},\n {\"box_2d\": [208, 650, 867, 796], \"label\": \"person\"},\n {\"box_2d\": [211, 699, 267, 755], \"label\": \"safety helmet\"},\n {\"box_2d\": [318, 668, 526, 783], \"label\": \"safety vest\"},\n {\"box_2d\": [219, 740, 962, 932], \"label\": \"person\"},\n {\"box_2d\": [221, 783, 299, 859], \"label\": \"safety helmet\"},\n {\"box_2d\": [336, 763, 572, 899], \"label\": \"safety vest\"}\n]\n```", "correct": true, "input_tokens": 1222, "output_tokens": 2206, "elapsed_seconds": 18.10132875002455, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 24, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 18.1475}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 71, "image": "4103456_ContLeftUpper_f_jpg.rf.6635963edc568c350879157eaf0b4b06.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [391, 15, 421, 40], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [447, 16, 480, 41], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [540, 17, 572, 43], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [525, 58, 559, 83], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [527, 98, 560, 125], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [536, 140, 565, 164], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [368, 177, 415, 203], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [424, 177, 469, 203], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [518, 179, 586, 205], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [362, 257, 397, 282], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [418, 257, 464, 283], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [553, 258, 581, 285], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [359, 337, 395, 363], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [415, 338, 453, 363], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [554, 338, 579, 365], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [348, 416, 384, 443], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [418, 417, 456, 443], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [346, 498, 398, 523], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [404, 742, 432, 763], \"label\": \"shipping container wall dent\"}\n]\n```", "correct": false, "input_tokens": 1255, "output_tokens": 2890, "elapsed_seconds": 25.566159415990114, "metadata": {"match_method": "map", "num_predictions": 19, "num_ground_truth": 20, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5805830359458923, "attempts": 1, "retries": 0, "total_seconds": 25.6545}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 72, "image": "V000087_0_0-Drive-Shaft_jpeg_jpg.rf.148a90e2fb96f98fb22ea082d09655d1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [172, 349, 214, 448], \"label\": \"surface roughness symbol\"},\n {\"box_2d\": [166, 434, 222, 498], \"label\": \"dimension annotation\"},\n {\"box_2d\": [169, 493, 240, 567], \"label\": \"dimension annotation\"},\n {\"box_2d\": [186, 544, 220, 631], \"label\": \"dimension annotation\"},\n {\"box_2d\": [244, 489, 292, 553], \"label\": \"dimension annotation\"},\n {\"box_2d\": [264, 551, 291, 667], \"label\": \"dimension annotation\"},\n {\"box_2d\": [269, 312, 321, 434], \"label\": \"dimension annotation\"},\n {\"box_2d\": [263, 432, 321, 577], \"label\": \"dimension annotation\"},\n {\"box_2d\": [157, 672, 265, 815], \"label\": \"dimension annotation\"},\n {\"box_2d\": [145, 732, 285, 905], \"label\": \"dimension annotation\"},\n {\"box_2d\": [485, 216, 541, 577], \"label\": \"dimension annotation\"},\n {\"box_2d\": [470, 577, 517, 625], \"label\": \"dimension annotation\"},\n {\"box_2d\": [436, 577, 474, 625], \"label\": \"dimension annotation\"},\n {\"box_2d\": [428, 577, 485, 669], \"label\": \"dimension annotation\"},\n {\"box_2d\": [801, 95, 967, 953], \"label\": \"technical drawing table\"}\n]\n```", "correct": false, "input_tokens": 1237, "output_tokens": 1967, "elapsed_seconds": 18.277171583962627, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.666666567325592, "attempts": 1, "retries": 0, "total_seconds": 18.286}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 73, "image": "1_000290_png.rf.2ed72f4c5f09c4e50e5326dbdb424cd7.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [114, 259, 127, 286], \"label\": \"tire spike normal\"},\n {\"box_2d\": [134, 349, 146, 378], \"label\": \"tire spike normal\"},\n {\"box_2d\": [80, 563, 89, 591], \"label\": \"tire spike normal\"},\n {\"box_2d\": [95, 771, 108, 798], \"label\": \"tire spike normal\"},\n {\"box_2d\": [134, 746, 148, 774], \"label\": \"tire spike normal\"},\n {\"box_2d\": [159, 647, 171, 676], \"label\": \"tire spike normal\"},\n {\"box_2d\": [205, 429, 219, 458], \"label\": \"tire spike normal\"},\n {\"box_2d\": [216, 273, 232, 300], \"label\": \"tire spike normal\"},\n {\"box_2d\": [301, 217, 319, 245], \"label\": \"tire spike normal\"},\n {\"box_2d\": [296, 495, 313, 524], \"label\": \"tire spike normal\"},\n {\"box_2d\": [236, 563, 251, 593], \"label\": \"tire spike normal\"},\n {\"box_2d\": [248, 724, 265, 755], \"label\": \"tire spike normal\"},\n {\"box_2d\": [337, 779, 357, 809], \"label\": \"tire spike normal\"},\n {\"box_2d\": [382, 365, 398, 396], \"label\": \"tire spike normal\"},\n {\"box_2d\": [455, 199, 477, 230], \"label\": \"tire spike normal\"},\n {\"box_2d\": [449, 396, 467, 427], \"label\": \"tire spike normal\"},\n {\"box_2d\": [424, 622, 442, 654], \"label\": \"tire spike normal\"},\n {\"box_2d\": [494, 590, 515, 622], \"label\": \"tire spike normal\"},\n {\"box_2d\": [499, 788, 520, 819], \"label\": \"tire spike normal\"},\n {\"box_2d\": [584, 738, 608, 771], \"label\": \"tire spike normal\"},\n {\"box_2d\": [536, 245, 559, 278], \"label\": \"tire spike normal\"},\n {\"box_2d\": [654, 171, 678, 200], \"label\": \"tire spike normal\"},\n {\"box_2d\": [641, 415, 664, 447], \"label\": \"tire spike absent\"},\n {\"box_2d\": [696, 569, 715, 598], \"label\": \"tire spike normal\"},\n {\"box_2d\": [706, 814, 728, 847], \"label\": \"tire spike normal\"},\n {\"box_2d\": [759, 203, 780, 234], \"label\": \"tire spike normal\"},\n {\"box_2d\": [826, 317, 848, 349], \"label\": \"tire spike normal\"},\n {\"box_2d\": [890, 488, 914, 522], \"label\": \"tire spike normal\"},\n {\"box_2d\": [881, 667, 902, 699], \"label\": \"tire spike normal\"},\n {\"box_2d\": [813, 781, 837, 814], \"label\": \"tire spike normal\"}\n]\n```", "correct": false, "input_tokens": 1215, "output_tokens": 3159, "elapsed_seconds": 29.041847125045024, "metadata": {"match_method": "map", "num_predictions": 30, "num_ground_truth": 35, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.4080279767513275, "attempts": 1, "retries": 0, "total_seconds": 29.0876}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 74, "image": "GP010212_JPG_jpg.rf.6a034cdac286be2f0a162b6bfc04e1c0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [256, 200, 361, 384], \"label\": \"carrot\"},\n {\"box_2d\": [269, 230, 376, 442], \"label\": \"carrot\"},\n {\"box_2d\": [231, 498, 270, 720], \"label\": \"carrot\"},\n {\"box_2d\": [255, 448, 311, 608], \"label\": \"carrot\"},\n {\"box_2d\": [278, 506, 369, 681], \"label\": \"carrot\"},\n {\"box_2d\": [320, 484, 391, 648], \"label\": \"carrot\"},\n {\"box_2d\": [339, 431, 411, 584], \"label\": \"carrot\"},\n {\"box_2d\": [298, 673, 452, 703], \"label\": \"carrot\"},\n {\"box_2d\": [380, 525, 442, 686], \"label\": \"carrot\"},\n {\"box_2d\": [364, 248, 408, 486], \"label\": \"carrot\"},\n {\"box_2d\": [398, 327, 434, 503], \"label\": \"carrot\"},\n {\"box_2d\": [427, 364, 453, 512], \"label\": \"carrot\"},\n {\"box_2d\": [452, 439, 488, 648], \"label\": \"carrot\"},\n {\"box_2d\": [456, 405, 520, 566], \"label\": \"carrot\"},\n {\"box_2d\": [428, 284, 519, 491], \"label\": \"carrot\"},\n {\"box_2d\": [472, 286, 527, 455], \"label\": \"carrot\"},\n {\"box_2d\": [522, 427, 553, 591], \"label\": \"carrot\"},\n {\"box_2d\": [531, 330, 588, 583], \"label\": \"carrot\"},\n {\"box_2d\": [533, 302, 659, 491], \"label\": \"carrot\"},\n {\"box_2d\": [628, 208, 670, 428], \"label\": \"carrot\"},\n {\"box_2d\": [481, 209, 623, 353], \"label\": \"carrot\"},\n {\"box_2d\": [497, 108, 634, 236], \"label\": \"carrot\"},\n {\"box_2d\": [355, 95, 494, 258], \"label\": \"carrot\"},\n {\"box_2d\": [373, 183, 505, 288], \"label\": \"carrot\"},\n {\"box_2d\": [488, 616, 567, 806], \"label\": \"carrot\"},\n {\"box_2d\": [573, 527, 609, 723], \"label\": \"carrot\"},\n {\"box_2d\": [608, 559, 642, 723], \"label\": \"carrot\"},\n {\"box_2d\": [628, 525, 686, 769], \"label\": \"carrot\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 2957, "elapsed_seconds": 24.658150541014038, "metadata": {"match_method": "map", "num_predictions": 28, "num_ground_truth": 28, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 24.678}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 75, "image": "egg-detection_image25_jpg.rf.5c4d3f7ce6887203cc33b5f86e849ef9.jpg", "expected": "", "predicted": "[\n {\"box_2d\": [74, 751, 145, 798], \"label\": \"egg\"},\n {\"box_2d\": [90, 798, 159, 840], \"label\": \"egg\"},\n {\"box_2d\": [114, 715, 185, 764], \"label\": \"egg\"},\n {\"box_2d\": [243, 395, 329, 454], \"label\": \"egg\"},\n {\"box_2d\": [264, 689, 350, 751], \"label\": \"egg\"},\n {\"box_2d\": [290, 811, 362, 855], \"label\": \"egg\"},\n {\"box_2d\": [325, 660, 403, 712], \"label\": \"egg\"},\n {\"box_2d\": [374, 581, 466, 632], \"label\": \"egg\"},\n {\"box_2d\": [399, 809, 473, 854], \"label\": \"egg\"},\n {\"box_2d\": [493, 444, 580, 505], \"label\": \"egg\"},\n {\"box_2d\": [563, 521, 647, 579], \"label\": \"egg\"},\n {\"box_2d\": [616, 485, 720, 533], \"label\": \"egg\"},\n {\"box_2d\": [684, 431, 761, 488], \"label\": \"egg\"},\n {\"box_2d\": [855, 600, 932, 654], \"label\": \"egg\"},\n {\"box_2d\": [847, 677, 921, 731], \"label\": \"egg\"},\n {\"box_2d\": [889, 710, 962, 756], \"label\": \"egg\"},\n {\"box_2d\": [836, 745, 904, 789], \"label\": \"egg\"}\n]", "correct": true, "input_tokens": 1236, "output_tokens": 1673, "elapsed_seconds": 21.909260167041793, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 17, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 21.9926}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 76, "image": "94D76C4A-9650-486B-8278-406A692F552F_jpg.rf.441749660b1bde146bfdbfa517d4e058.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [731, 205, 779, 249], \"label\": \"pill\"},\n {\"box_2d\": [614, 344, 661, 390], \"label\": \"pill\"},\n {\"box_2d\": [602, 658, 650, 706], \"label\": \"pill\"},\n {\"box_2d\": [525, 302, 572, 348], \"label\": \"pill\"},\n {\"box_2d\": [512, 404, 559, 450], \"label\": \"pill\"},\n {\"box_2d\": [498, 485, 545, 532], \"label\": \"pill\"},\n {\"box_2d\": [486, 574, 532, 621], \"label\": \"pill\"},\n {\"box_2d\": [496, 633, 542, 680], \"label\": \"pill\"},\n {\"box_2d\": [455, 676, 501, 723], \"label\": \"pill\"},\n {\"box_2d\": [445, 586, 491, 632], \"label\": \"pill\"},\n {\"box_2d\": [452, 517, 498, 563], \"label\": \"pill\"},\n {\"box_2d\": [423, 550, 469, 595], \"label\": \"pill\"},\n {\"box_2d\": [409, 509, 454, 555], \"label\": \"pill\"},\n {\"box_2d\": [415, 425, 461, 471], \"label\": \"pill\"},\n {\"box_2d\": [385, 455, 430, 501], \"label\": \"pill\"},\n {\"box_2d\": [361, 498, 407, 543], \"label\": \"pill\"},\n {\"box_2d\": [360, 541, 406, 587], \"label\": \"pill\"},\n {\"box_2d\": [386, 579, 432, 625], \"label\": \"pill\"},\n {\"box_2d\": [387, 625, 433, 672], \"label\": \"pill\"},\n {\"box_2d\": [407, 668, 455, 715], \"label\": \"pill\"},\n {\"box_2d\": [361, 708, 408, 756], \"label\": \"pill\"},\n {\"box_2d\": [342, 640, 389, 686], \"label\": \"pill\"},\n {\"box_2d\": [299, 661, 346, 707], \"label\": \"pill\"},\n {\"box_2d\": [318, 591, 364, 637], \"label\": \"pill\"},\n {\"box_2d\": [269, 606, 315, 651], \"label\": \"pill\"},\n {\"box_2d\": [263, 561, 309, 606], \"label\": \"pill\"},\n {\"box_2d\": [321, 519, 367, 564], \"label\": \"pill\"},\n {\"box_2d\": [309, 475, 355, 520], \"label\": \"pill\"},\n {\"box_2d\": [321, 434, 368, 479], \"label\": \"pill\"},\n {\"box_2d\": [269, 461, 314, 506], \"label\": \"pill\"},\n {\"box_2d\": [235, 435, 281, 480], \"label\": \"pill\"},\n {\"box_2d\": [194, 358, 240, 404], \"label\": \"pill\"},\n {\"box_2d\": [189, 413, 234, 459], \"label\": \"pill\"},\n {\"box_2d\": [181, 489, 227, 535], \"label\": \"pill\"},\n {\"box_2d\": [163, 577, 208, 622], \"label\": \"pill\"},\n {\"box_2d\": [166, 622, 211, 668], \"label\": \"pill\"},\n {\"box_2d\": [198, 661, 244, 708], \"label\": \"pill\"},\n {\"box_2d\": [345, 274, 391, 321], \"label\": \"pill\"},\n {\"box_2d\": [364, 339, 408, 384], \"label\": \"pill\"},\n {\"box_2d\": [386, 301, 431, 346], \"label\": \"pill\"},\n {\"box_2d\": [404, 360, 450, 406], \"label\": \"pill\"},\n {\"box_2d\": [427, 285, 472, 331], \"label\": \"pill\"},\n {\"box_2d\": [432, 238, 478, 283], \"label\": \"pill\"},\n {\"box_2d\": [469, 280, 514, 326], \"label\": \"pill\"},\n {\"box_2d\": [468, 330, 514, 376], \"label\": \"pill\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 4023, "elapsed_seconds": 32.411714916001074, "metadata": {"match_method": "map", "num_predictions": 45, "num_ground_truth": 45, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 32.7291}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 77, "image": "IMG_3989_JPG.rf.c4cc3b74f996b28db8e9373b455775a3.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [414, 412, 449, 430], \"label\": \"face\"},\n {\"box_2d\": [303, 381, 330, 395], \"label\": \"face\"},\n {\"box_2d\": [301, 331, 327, 345], \"label\": \"face\"},\n {\"box_2d\": [399, 598, 422, 611], \"label\": \"face\"},\n {\"box_2d\": [406, 620, 429, 634], \"label\": \"face\"},\n {\"box_2d\": [269, 459, 290, 471], \"label\": \"face\"},\n {\"box_2d\": [205, 310, 226, 322], \"label\": \"face\"},\n {\"box_2d\": [213, 336, 234, 347], \"label\": \"face\"},\n {\"box_2d\": [200, 276, 222, 288], \"label\": \"face\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 1987, "elapsed_seconds": 21.187013208982535, "metadata": {"match_method": "map", "num_predictions": 9, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6457645893096924, "attempts": 1, "retries": 0, "total_seconds": 21.4933}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 78, "image": "basketball-player-detection_boston-celtics-new-york-knicks-game-4-q1-01-22-01-16-0112_png.rf.813de841eef35ee5de0aa209e2d3e51f.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [220, 224, 253, 245], \"label\": \"basketball\"},\n {\"box_2d\": [298, 177, 597, 228], \"label\": \"player taking jump shot\"},\n {\"box_2d\": [298, 177, 597, 228], \"label\": \"player\"},\n {\"box_2d\": [302, 217, 581, 319], \"label\": \"player\"},\n {\"box_2d\": [608, 251, 880, 315], \"label\": \"player\"},\n {\"box_2d\": [515, 400, 769, 452], \"label\": \"player\"},\n {\"box_2d\": [292, 353, 491, 409], \"label\": \"player\"},\n {\"box_2d\": [229, 305, 411, 359], \"label\": \"player\"},\n {\"box_2d\": [280, 593, 463, 636], \"label\": \"player\"},\n {\"box_2d\": [218, 611, 369, 646], \"label\": \"player\"},\n {\"box_2d\": [513, 720, 728, 788], \"label\": \"player\"},\n {\"box_2d\": [628, 820, 822, 871], \"label\": \"player\"},\n {\"box_2d\": [245, 0, 434, 46], \"label\": \"referee\"},\n {\"box_2d\": [686, 576, 868, 623], \"label\": \"referee\"},\n {\"box_2d\": [269, 767, 461, 801], \"label\": \"referee\"},\n {\"box_2d\": [224, 713, 286, 755], \"label\": \"basket rim\"},\n {\"box_2d\": [407, 181, 434, 189], \"label\": \"jersey number\"},\n {\"box_2d\": [395, 263, 417, 279], \"label\": \"jersey number\"},\n {\"box_2d\": [678, 278, 707, 290], \"label\": \"jersey number\"},\n {\"box_2d\": [331, 378, 357, 389], \"label\": \"jersey number\"},\n {\"box_2d\": [555, 429, 583, 444], \"label\": \"jersey number\"},\n {\"box_2d\": [567, 752, 591, 763], \"label\": \"jersey number\"},\n {\"box_2d\": [692, 839, 722, 854], \"label\": \"jersey number\"},\n {\"box_2d\": [277, 626, 296, 634], \"label\": \"jersey number\"},\n {\"box_2d\": [742, 596, 767, 610], \"label\": \"jersey number\"}\n]\n```", "correct": false, "input_tokens": 1251, "output_tokens": 2409, "elapsed_seconds": 22.0710839999374, "metadata": {"match_method": "map", "num_predictions": 25, "num_ground_truth": 25, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7836633324623108, "attempts": 1, "retries": 0, "total_seconds": 22.1592}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 79, "image": "Screenshot-2024-05-16-150258_png.rf.730fbfcbd2cdbb24d8003d2a2cd88782.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [63, 14, 94, 45], \"label\": \"bullet hole\"},\n {\"box_2d\": [111, 102, 141, 134], \"label\": \"bullet hole\"},\n {\"box_2d\": [169, 192, 200, 226], \"label\": \"bullet hole\"},\n {\"box_2d\": [182, 344, 213, 378], \"label\": \"bullet hole\"},\n {\"box_2d\": [250, 480, 279, 511], \"label\": \"bullet hole\"},\n {\"box_2d\": [334, 0, 365, 25], \"label\": \"bullet hole\"},\n {\"box_2d\": [437, 223, 469, 254], \"label\": \"bullet hole\"},\n {\"box_2d\": [699, 415, 731, 450], \"label\": \"bullet hole\"},\n {\"box_2d\": [877, 353, 906, 389], \"label\": \"bullet hole\"},\n {\"box_2d\": [983, 184, 1000, 216], \"label\": \"bullet hole\"},\n {\"box_2d\": [900, 610, 931, 643], \"label\": \"bullet hole\"},\n {\"box_2d\": [659, 684, 691, 717], \"label\": \"bullet hole\"},\n {\"box_2d\": [719, 894, 753, 929], \"label\": \"bullet hole\"},\n {\"box_2d\": [818, 847, 848, 880], \"label\": \"bullet hole\"},\n {\"box_2d\": [830, 928, 862, 962], \"label\": \"bullet hole\"},\n {\"box_2d\": [918, 919, 948, 954], \"label\": \"bullet hole\"},\n {\"box_2d\": [0, 608, 25, 640], \"label\": \"bullet hole\"},\n {\"box_2d\": [57, 767, 89, 800], \"label\": \"bullet hole\"},\n {\"box_2d\": [107, 896, 137, 927], \"label\": \"bullet hole\"},\n {\"box_2d\": [141, 814, 174, 849], \"label\": \"bullet hole\"},\n {\"box_2d\": [157, 684, 191, 717], \"label\": \"bullet hole\"},\n {\"box_2d\": [235, 739, 272, 775], \"label\": \"bullet hole\"},\n {\"box_2d\": [232, 904, 268, 942], \"label\": \"bullet hole\"},\n {\"box_2d\": [326, 799, 360, 837], \"label\": \"bullet hole\"},\n {\"box_2d\": [349, 976, 383, 1000], \"label\": \"bullet hole\"},\n {\"box_2d\": [397, 725, 430, 763], \"label\": \"bullet hole\"},\n {\"box_2d\": [433, 619, 466, 656], \"label\": \"bullet hole\"},\n {\"box_2d\": [484, 695, 518, 735], \"label\": \"bullet hole\"},\n {\"box_2d\": [452, 819, 483, 854], \"label\": \"bullet hole\"},\n {\"box_2d\": [527, 789, 558, 830], \"label\": \"bullet hole\"}\n]\n```", "correct": false, "input_tokens": 1226, "output_tokens": 3245, "elapsed_seconds": 27.252375624957494, "metadata": {"match_method": "map", "num_predictions": 30, "num_ground_truth": 30, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.555940568447113, "attempts": 1, "retries": 0, "total_seconds": 27.2691}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 80, "image": "AF6880-9_2025_NCPT-128_JPG_jpg.rf.58feab8edece278692e9ee124939da54.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [221, 196, 297, 224], \"label\": \"potato\"},\n {\"box_2d\": [436, 193, 505, 222], \"label\": \"potato\"},\n {\"box_2d\": [506, 194, 572, 224], \"label\": \"potato\"},\n {\"box_2d\": [571, 189, 641, 223], \"label\": \"potato\"},\n {\"box_2d\": [642, 183, 731, 224], \"label\": \"potato\"},\n {\"box_2d\": [731, 189, 845, 233], \"label\": \"potato\"},\n {\"box_2d\": [34, 249, 85, 269], \"label\": \"potato\"},\n {\"box_2d\": [264, 242, 350, 267], \"label\": \"potato\"},\n {\"box_2d\": [416, 231, 517, 271], \"label\": \"potato\"},\n {\"box_2d\": [571, 229, 651, 268], \"label\": \"potato\"},\n {\"box_2d\": [904, 223, 1000, 267], \"label\": \"potato\"},\n {\"box_2d\": [152, 284, 241, 318], \"label\": \"potato\"},\n {\"box_2d\": [305, 279, 381, 309], \"label\": \"potato\"},\n {\"box_2d\": [378, 274, 468, 316], \"label\": \"potato\"},\n {\"box_2d\": [494, 273, 586, 311], \"label\": \"potato\"},\n {\"box_2d\": [582, 281, 640, 309], \"label\": \"potato\"},\n {\"box_2d\": [639, 273, 725, 311], \"label\": \"potato\"},\n {\"box_2d\": [853, 270, 970, 318], \"label\": \"potato\"},\n {\"box_2d\": [8, 321, 93, 359], \"label\": \"potato\"},\n {\"box_2d\": [91, 324, 169, 358], \"label\": \"potato\"},\n {\"box_2d\": [168, 326, 244, 357], \"label\": \"potato\"},\n {\"box_2d\": [241, 327, 338, 360], \"label\": \"potato\"},\n {\"box_2d\": [333, 310, 456, 359], \"label\": \"potato\"},\n {\"box_2d\": [504, 315, 597, 360], \"label\": \"potato\"},\n {\"box_2d\": [603, 316, 721, 364], \"label\": \"potato\"},\n {\"box_2d\": [713, 316, 795, 351], \"label\": \"potato\"},\n {\"box_2d\": [794, 319, 902, 363], \"label\": \"potato\"},\n {\"box_2d\": [909, 321, 987, 352], \"label\": \"potato\"},\n {\"box_2d\": [29, 376, 82, 400], \"label\": \"potato\"},\n {\"box_2d\": [78, 367, 173, 407], \"label\": \"potato\"},\n {\"box_2d\": [170, 356, 294, 407], \"label\": \"potato\"},\n {\"box_2d\": [318, 358, 421, 406], \"label\": \"potato\"},\n {\"box_2d\": [421, 350, 527, 402], \"label\": \"potato\"},\n {\"box_2d\": [527, 365, 613, 404], \"label\": \"potato\"},\n {\"box_2d\": [728, 364, 845, 401], \"label\": \"potato\"},\n {\"box_2d\": [837, 368, 901, 391], \"label\": \"potato\"},\n {\"box_2d\": [10, 424, 38, 442], \"label\": \"potato\"},\n {\"box_2d\": [31, 408, 152, 457], \"label\": \"potato\"},\n {\"box_2d\": [153, 407, 265, 447], \"label\": \"potato\"},\n {\"box_2d\": [279, 419, 318, 439], \"label\": \"potato\"},\n {\"box_2d\": [312, 409, 405, 445], \"label\": \"potato\"},\n {\"box_2d\": [440, 406, 550, 453], \"label\": \"potato\"},\n {\"box_2d\": [665, 404, 783, 449], \"label\": \"potato\"},\n {\"box_2d\": [780, 410, 842, 436], \"label\": \"potato\"},\n {\"box_2d\": [839, 409, 927, 441], \"label\": \"potato\"},\n {\"box_2d\": [72, 466, 113, 487], \"label\": \"potato\"},\n {\"box_2d\": [108, 455, 200, 490], \"label\": \"potato\"},\n {\"box_2d\": [265, 450, 366, 492], \"label\": \"potato\"},\n {\"box_2d\": [406, 447, 511, 491], \"label\": \"potato\"},\n {\"box_2d\": [507, 451, 581, 487], \"label\": \"potato\"},\n {\"box_2d\": [580, 451, 687, 495], \"label\": \"potato\"},\n {\"box_2d\": [686, 447, 791, 489], \"label\": \"potato\"},\n {\"box_2d\": [825, 446, 924, 486], \"label\": \"potato\"},\n {\"box_2d\": [931, 451, 1000, 485], \"label\": \"potato\"},\n {\"box_2d\": [39, 503, 126, 538], \"label\": \"potato\"},\n {\"box_2d\": [124, 499, 217, 541], \"label\": \"potato\"},\n {\"box_2d\": [258, 503, 344, 539], \"label\": \"potato\"},\n {\"box_2d\": [362, 495, 468, 535], \"label\": \"potato\"},\n {\"box_2d\": [468, 499, 555, 533], \"label\": \"potato\"},\n {\"box_2d\": [558, 496, 642, 528], \"label\": \"potato\"},\n {\"box_2d\": [842, 485, 952, 532], \"label\": \"potato\"},\n {\"box_2d\": [0, 539, 114, 591], \"label\": \"potato\"},\n {\"box_2d\": [110, 542, 221, 591], \"label\": \"potato\"},\n {\"box_2d\": [213, 548, 290, 578], \"label\": \"potato\"},\n {\"box_2d\": [288, 545, 374, 578], \"label\": \"potato\"},\n {\"box_2d\": [391, 541, 492, 578], \"label\": \"potato\"},\n {\"box_2d\": [495, 532, 616, 576], \"label\": \"potato\"},\n {\"box_2d\": [688, 539, 796, 583], \"label\": \"potato\"},\n {\"box_2d\": [4, 589, 110, 634], \"label\": \"potato\"},\n {\"box_2d\": [122, 588, 223, 632], \"label\": \"potato\"},\n {\"box_2d\": [401, 587, 505, 623], \"label\": \"potato\"},\n {\"box_2d\": [886, 584, 970, 612], \"label\": \"potato\"},\n {\"box_2d\": [39, 630, 140, 669], \"label\": \"potato\"},\n {\"box_2d\": [493, 626, 599, 661], \"label\": \"potato\"},\n {\"box_2d\": [609, 630, 714, 665], \"label\": \"potato\"},\n {\"box_2d\": [215, 670, 333, 717], \"label\": \"potato\"},\n {\"box_2d\": [510, 679, 571, 702], \"label\": \"potato\"},\n {\"box_2d\": [773, 675, 837, 697], \"label\": \"potato\"},\n {\"box_2d\": [94, 722, 160, 750], \"label\": \"potato\"},\n {\"box_2d\": [211, 720, 305, 756], \"label\": \"potato\"},\n {\"box_2d\": [480, 708, 580, 747], \"label\": \"potato\"},\n {\"box_2d\": [117, 761, 237, 811], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 5277, "elapsed_seconds": 46.47542912501376, "metadata": {"match_method": "map", "num_predictions": 82, "num_ground_truth": 82, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 46.9511}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 81, "image": "GP010253_JPG_jpg.rf.617173565602dbb2684e6af5ddab9032.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [50, 540, 178, 868], \"label\": \"carrot\"},\n {\"box_2d\": [138, 560, 205, 858], \"label\": \"carrot\"},\n {\"box_2d\": [158, 405, 267, 696], \"label\": \"carrot\"},\n {\"box_2d\": [184, 412, 305, 709], \"label\": \"carrot\"},\n {\"box_2d\": [178, 355, 356, 496], \"label\": \"carrot\"},\n {\"box_2d\": [189, 396, 330, 514], \"label\": \"carrot\"},\n {\"box_2d\": [194, 725, 294, 864], \"label\": \"carrot\"},\n {\"box_2d\": [278, 381, 467, 568], \"label\": \"carrot\"},\n {\"box_2d\": [286, 511, 406, 777], \"label\": \"carrot\"},\n {\"box_2d\": [304, 487, 461, 789], \"label\": \"carrot\"},\n {\"box_2d\": [312, 608, 439, 800], \"label\": \"carrot\"},\n {\"box_2d\": [448, 305, 636, 372], \"label\": \"carrot\"},\n {\"box_2d\": [481, 350, 558, 560], \"label\": \"carrot\"},\n {\"box_2d\": [484, 431, 665, 526], \"label\": \"carrot\"},\n {\"box_2d\": [512, 437, 765, 496], \"label\": \"carrot\"},\n {\"box_2d\": [568, 520, 789, 571], \"label\": \"carrot\"},\n {\"box_2d\": [456, 544, 735, 626], \"label\": \"carrot\"},\n {\"box_2d\": [558, 610, 811, 654], \"label\": \"carrot\"},\n {\"box_2d\": [636, 627, 840, 716], \"label\": \"carrot\"},\n {\"box_2d\": [547, 687, 814, 756], \"label\": \"carrot\"},\n {\"box_2d\": [413, 726, 644, 800], \"label\": \"carrot\"},\n {\"box_2d\": [726, 695, 886, 868], \"label\": \"carrot\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 1697, "elapsed_seconds": 18.202688041958027, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 18.2303}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 82, "image": "1704195139272_jpg.rf.6a6621507dbbf3a3fbb417d17569c709.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [84, 659, 127, 709], \"label\": \"lentil grain\"},\n {\"box_2d\": [216, 342, 256, 384], \"label\": \"lentil grain\"},\n {\"box_2d\": [219, 567, 263, 616], \"label\": \"lentil grain\"},\n {\"box_2d\": [393, 377, 434, 420], \"label\": \"lentil grain\"},\n {\"box_2d\": [409, 562, 449, 608], \"label\": \"lentil grain\"},\n {\"box_2d\": [407, 617, 446, 661], \"label\": \"lentil grain\"},\n {\"box_2d\": [542, 420, 579, 463], \"label\": \"lentil grain\"},\n {\"box_2d\": [672, 608, 712, 656], \"label\": \"lentil grain\"},\n {\"box_2d\": [739, 388, 777, 430], \"label\": \"lentil grain\"},\n {\"box_2d\": [743, 728, 785, 780], \"label\": \"lentil grain\"},\n {\"box_2d\": [901, 401, 942, 447], \"label\": \"lentil grain\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 1289, "elapsed_seconds": 11.462206041906029, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 11.4782}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 83, "image": "preannot1_326_png.rf.9e036dcc9355b37dec6ff1b3aff71d0b.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [67, 621, 76, 635], \"label\": \"tire spike normal\"},\n {\"box_2d\": [107, 360, 117, 374], \"label\": \"tire spike normal\"},\n {\"box_2d\": [143, 330, 152, 344], \"label\": \"tire spike normal\"},\n {\"box_2d\": [169, 545, 180, 560], \"label\": \"tire spike normal\"},\n {\"box_2d\": [185, 618, 196, 634], \"label\": \"tire spike normal\"},\n {\"box_2d\": [214, 440, 224, 455], \"label\": \"tire spike normal\"},\n {\"box_2d\": [227, 666, 239, 683], \"label\": \"tire spike normal\"},\n {\"box_2d\": [231, 365, 243, 381], \"label\": \"tire spike normal\"},\n {\"box_2d\": [273, 316, 286, 334], \"label\": \"tire spike normal\"},\n {\"box_2d\": [281, 621, 294, 639], \"label\": \"tire spike normal\"},\n {\"box_2d\": [325, 660, 338, 678], \"label\": \"tire spike normal\"},\n {\"box_2d\": [331, 357, 346, 376], \"label\": \"tire spike normal\"},\n {\"box_2d\": [387, 632, 402, 653], \"label\": \"tire spike normal\"},\n {\"box_2d\": [426, 436, 442, 458], \"label\": \"tire spike normal\"},\n {\"box_2d\": [440, 330, 453, 349], \"label\": \"tire spike normal\"},\n {\"box_2d\": [492, 325, 506, 345], \"label\": \"tire spike normal\"},\n {\"box_2d\": [506, 625, 520, 643], \"label\": \"tire spike normal\"},\n {\"box_2d\": [559, 365, 574, 385], \"label\": \"tire spike normal\"},\n {\"box_2d\": [600, 550, 614, 569], \"label\": \"tire spike normal\"},\n {\"box_2d\": [611, 331, 625, 350], \"label\": \"tire spike normal\"},\n {\"box_2d\": [612, 642, 626, 662], \"label\": \"tire spike normal\"},\n {\"box_2d\": [664, 677, 677, 695], \"label\": \"tire spike normal\"},\n {\"box_2d\": [713, 428, 725, 446], \"label\": \"tire spike normal\"},\n {\"box_2d\": [727, 650, 740, 668], \"label\": \"tire spike normal\"},\n {\"box_2d\": [739, 369, 751, 387], \"label\": \"tire spike normal\"},\n {\"box_2d\": [777, 321, 789, 337], \"label\": \"tire spike normal\"},\n {\"box_2d\": [778, 678, 790, 694], \"label\": \"tire spike normal\"},\n {\"box_2d\": [835, 631, 846, 648], \"label\": \"tire spike normal\"},\n {\"box_2d\": [863, 452, 874, 467], \"label\": \"tire spike normal\"},\n {\"box_2d\": [876, 382, 886, 398], \"label\": \"tire spike normal\"},\n {\"box_2d\": [897, 671, 907, 686], \"label\": \"tire spike normal\"},\n {\"box_2d\": [901, 350, 910, 364], \"label\": \"tire spike normal\"}\n]\n```", "correct": false, "input_tokens": 1202, "output_tokens": 2914, "elapsed_seconds": 22.99991766596213, "metadata": {"match_method": "map", "num_predictions": 32, "num_ground_truth": 42, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.650271475315094, "attempts": 1, "retries": 0, "total_seconds": 23.084}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 84, "image": "fall-detection_cameraOne-blue-before_mp4-10_jpg.rf.e26a811f1502cc342db7badfe48642d4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [581, 548, 726, 728], \"label\": \"fallen person\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 332, "elapsed_seconds": 5.845255000051111, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 5.8568}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 85, "image": "IMG_3898_JPG.rf.7efec82c7f803d0db60f9543524df2d2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [330, 81, 421, 223], \"label\": \"100 poker chip\"},\n {\"box_2d\": [308, 220, 396, 360], \"label\": \"500 poker chip\"},\n {\"box_2d\": [364, 314, 460, 459], \"label\": \"10 poker chip\"},\n {\"box_2d\": [380, 456, 479, 602], \"label\": \"5 poker chip\"},\n {\"box_2d\": [303, 611, 395, 755], \"label\": \"100 poker chip\"},\n {\"box_2d\": [355, 733, 451, 882], \"label\": \"100 poker chip\"},\n {\"box_2d\": [395, 604, 495, 756], \"label\": \"500 poker chip\"},\n {\"box_2d\": [414, 146, 514, 297], \"label\": \"50 poker chip\"},\n {\"box_2d\": [487, 237, 596, 395], \"label\": \"20 poker chip\"},\n {\"box_2d\": [465, 392, 574, 546], \"label\": \"50 poker chip\"},\n {\"box_2d\": [493, 607, 605, 767], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [596, 211, 720, 381], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [551, 474, 672, 638], \"label\": \"50 poker chip\"},\n {\"box_2d\": [587, 703, 713, 875], \"label\": \"10000 poker chip\"},\n {\"box_2d\": [640, 361, 773, 535], \"label\": \"10 poker chip\"},\n {\"box_2d\": [681, 597, 821, 780], \"label\": \"10 poker chip\"},\n {\"box_2d\": [751, 447, 902, 633], \"label\": \"5 poker chip\"}\n]\n```", "correct": true, "input_tokens": 1252, "output_tokens": 2139, "elapsed_seconds": 24.738714166916907, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 18, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9579207897186279, "attempts": 1, "retries": 0, "total_seconds": 25.3104}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 86, "image": "2024-12-05T02-00-59-875Z-1008_jpg.rf.e6de2a9a15084a14389fc0bcc250e3a1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [223, 21, 350, 101], \"label\": \"screw\"},\n {\"box_2d\": [677, 8, 803, 90], \"label\": \"screw\"},\n {\"box_2d\": [291, 459, 379, 520], \"label\": \"screw\"},\n {\"box_2d\": [638, 932, 698, 977], \"label\": \"screw\"},\n {\"box_2d\": [743, 792, 808, 837], \"label\": \"screw\"},\n {\"box_2d\": [642, 826, 799, 942], \"label\": \"wire hole\"}\n]\n```", "correct": true, "input_tokens": 1203, "output_tokens": 1194, "elapsed_seconds": 17.451056124991737, "metadata": {"match_method": "map", "num_predictions": 6, "num_ground_truth": 6, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 17.6024}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 87, "image": "IMG_20220316_165535_jpg.rf.b4968ac9965090df369ee94c30225977.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [36, 538, 382, 797], \"label\": \"jack of diamonds\"},\n {\"box_2d\": [105, 307, 476, 591], \"label\": \"nine of diamonds\"},\n {\"box_2d\": [380, 175, 711, 479], \"label\": \"king of diamonds\"},\n {\"box_2d\": [420, 472, 822, 728], \"label\": \"queen of diamonds\"},\n {\"box_2d\": [631, 108, 974, 428], \"label\": \"ten of diamonds\"}\n]\n```", "correct": true, "input_tokens": 1218, "output_tokens": 643, "elapsed_seconds": 8.298977250000462, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 8.3247}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 88, "image": "F64FE944-4E23-4E33-ABE4-44B45EEE879E_jpg.rf.4a9fc6077618a5882fd446c7da6c295e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [175, 162, 281, 238], \"label\": \"pill\"},\n {\"box_2d\": [187, 237, 290, 315], \"label\": \"pill\"},\n {\"box_2d\": [137, 296, 249, 353], \"label\": \"pill\"},\n {\"box_2d\": [183, 390, 285, 474], \"label\": \"pill\"},\n {\"box_2d\": [169, 524, 277, 598], \"label\": \"pill\"},\n {\"box_2d\": [288, 153, 394, 210], \"label\": \"pill\"},\n {\"box_2d\": [275, 207, 383, 271], \"label\": \"pill\"},\n {\"box_2d\": [243, 326, 324, 428], \"label\": \"pill\"},\n {\"box_2d\": [287, 288, 381, 384], \"label\": \"pill\"},\n {\"box_2d\": [285, 417, 390, 490], \"label\": \"pill\"},\n {\"box_2d\": [260, 487, 369, 548], \"label\": \"pill\"},\n {\"box_2d\": [300, 692, 387, 795], \"label\": \"pill\"},\n {\"box_2d\": [370, 840, 480, 901], \"label\": \"pill\"},\n {\"box_2d\": [380, 187, 485, 251], \"label\": \"pill\"},\n {\"box_2d\": [348, 240, 447, 323], \"label\": \"pill\"},\n {\"box_2d\": [387, 275, 481, 364], \"label\": \"pill\"},\n {\"box_2d\": [359, 370, 458, 452], \"label\": \"pill\"},\n {\"box_2d\": [355, 560, 463, 620], \"label\": \"pill\"},\n {\"box_2d\": [363, 620, 471, 681], \"label\": \"pill\"},\n {\"box_2d\": [431, 667, 518, 767], \"label\": \"pill\"},\n {\"box_2d\": [432, 128, 522, 222], \"label\": \"pill\"},\n {\"box_2d\": [513, 127, 591, 229], \"label\": \"pill\"},\n {\"box_2d\": [478, 255, 583, 316], \"label\": \"pill\"},\n {\"box_2d\": [477, 311, 582, 371], \"label\": \"pill\"},\n {\"box_2d\": [456, 375, 550, 460], \"label\": \"pill\"},\n {\"box_2d\": [445, 503, 516, 608], \"label\": \"pill\"},\n {\"box_2d\": [487, 467, 556, 571], \"label\": \"pill\"},\n {\"box_2d\": [507, 634, 613, 697], \"label\": \"pill\"},\n {\"box_2d\": [555, 696, 612, 807], \"label\": \"pill\"},\n {\"box_2d\": [549, 391, 612, 497], \"label\": \"pill\"},\n {\"box_2d\": [532, 522, 617, 619], \"label\": \"pill\"},\n {\"box_2d\": [576, 591, 669, 682], \"label\": \"pill\"},\n {\"box_2d\": [590, 179, 673, 276], \"label\": \"pill\"},\n {\"box_2d\": [591, 289, 643, 397], \"label\": \"pill\"},\n {\"box_2d\": [638, 271, 675, 379], \"label\": \"pill\"},\n {\"box_2d\": [735, 95, 797, 198], \"label\": \"pill\"},\n {\"box_2d\": [682, 162, 780, 245], \"label\": \"pill\"},\n {\"box_2d\": [680, 217, 747, 322], \"label\": \"pill\"},\n {\"box_2d\": [724, 298, 789, 405], \"label\": \"pill\"},\n {\"box_2d\": [663, 358, 749, 455], \"label\": \"pill\"},\n {\"box_2d\": [597, 458, 676, 559], \"label\": \"pill\"},\n {\"box_2d\": [630, 423, 718, 519], \"label\": \"pill\"},\n {\"box_2d\": [625, 535, 720, 621], \"label\": \"pill\"},\n {\"box_2d\": [781, 412, 839, 519], \"label\": \"pill\"},\n {\"box_2d\": [724, 467, 809, 565], \"label\": \"pill\"},\n {\"box_2d\": [718, 542, 809, 636], \"label\": \"pill\"},\n {\"box_2d\": [696, 631, 793, 722], \"label\": \"pill\"},\n {\"box_2d\": [691, 694, 784, 790], \"label\": \"pill\"},\n {\"box_2d\": [679, 755, 735, 868], \"label\": \"pill\"},\n {\"box_2d\": [797, 738, 893, 830], \"label\": \"pill\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 4402, "elapsed_seconds": 44.10105487506371, "metadata": {"match_method": "map", "num_predictions": 50, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 44.5058}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 89, "image": "20210326_152417_jpg.rf.49d888684dcb029777f91a35c5731fda.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [103, 367, 326, 591], \"label\": \"20 euro cent coin\"},\n {\"box_2d\": [200, 125, 397, 325], \"label\": \"10 euro cent coin\"},\n {\"box_2d\": [203, 646, 444, 891], \"label\": \"50 euro cent coin\"},\n {\"box_2d\": [379, 396, 610, 628], \"label\": \"1 euro coin\"},\n {\"box_2d\": [420, 79, 626, 292], \"label\": \"5 euro cent coin\"},\n {\"box_2d\": [514, 678, 674, 839], \"label\": \"1 euro cent coin\"},\n {\"box_2d\": [654, 236, 902, 491], \"label\": \"2 euro coin\"},\n {\"box_2d\": [722, 575, 906, 761], \"label\": \"2 euro cent coin\"}\n]\n```", "correct": true, "input_tokens": 1272, "output_tokens": 1073, "elapsed_seconds": 10.193605458014645, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 10.2114}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 90, "image": "egg-detection_image33_jpg.rf.842de73d6f921d804acd1ea8a1f28413.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [465, 428, 551, 492], \"label\": \"egg\"},\n {\"box_2d\": [746, 694, 822, 753], \"label\": \"egg\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 288, "elapsed_seconds": 6.010675958008505, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 6.1092}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 91, "image": "uav20221018_ixfZ_3857_215_png.rf.8020e1329eefd7e68bf3f7c0394e8bdf.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [10, 684, 59, 730], \"label\": \"banana tree\"},\n {\"box_2d\": [53, 746, 98, 789], \"label\": \"banana tree\"},\n {\"box_2d\": [87, 686, 134, 730], \"label\": \"banana tree\"},\n {\"box_2d\": [118, 746, 175, 792], \"label\": \"banana tree\"},\n {\"box_2d\": [156, 693, 211, 743], \"label\": \"banana tree\"},\n {\"box_2d\": [193, 746, 239, 791], \"label\": \"banana tree\"},\n {\"box_2d\": [228, 688, 281, 736], \"label\": \"banana tree\"},\n {\"box_2d\": [264, 754, 314, 792], \"label\": \"banana tree\"},\n {\"box_2d\": [297, 692, 349, 747], \"label\": \"banana tree\"},\n {\"box_2d\": [340, 761, 381, 799], \"label\": \"banana tree\"},\n {\"box_2d\": [369, 700, 415, 741], \"label\": \"banana tree\"},\n {\"box_2d\": [403, 758, 452, 804], \"label\": \"banana tree\"},\n {\"box_2d\": [481, 769, 526, 805], \"label\": \"banana tree\"},\n {\"box_2d\": [519, 718, 560, 751], \"label\": \"banana tree\"},\n {\"box_2d\": [551, 770, 594, 808], \"label\": \"banana tree\"},\n {\"box_2d\": [618, 767, 665, 808], \"label\": \"banana tree\"},\n {\"box_2d\": [656, 718, 697, 754], \"label\": \"banana tree\"},\n {\"box_2d\": [692, 775, 739, 813], \"label\": \"banana tree\"},\n {\"box_2d\": [731, 720, 770, 755], \"label\": \"banana tree\"},\n {\"box_2d\": [768, 780, 798, 810], \"label\": \"banana tree\"},\n {\"box_2d\": [792, 716, 840, 767], \"label\": \"banana tree\"},\n {\"box_2d\": [834, 779, 872, 815], \"label\": \"banana tree\"},\n {\"box_2d\": [867, 723, 916, 768], \"label\": \"banana tree\"},\n {\"box_2d\": [905, 785, 944, 822], \"label\": \"banana tree\"},\n {\"box_2d\": [935, 729, 978, 769], \"label\": \"banana tree\"},\n {\"box_2d\": [974, 791, 1000, 822], \"label\": \"banana tree\"},\n {\"box_2d\": [43, 939, 107, 996], \"label\": \"banana tree\"},\n {\"box_2d\": [111, 944, 170, 998], \"label\": \"banana tree\"},\n {\"box_2d\": [182, 946, 235, 993], \"label\": \"banana tree\"},\n {\"box_2d\": [248, 945, 297, 995], \"label\": \"banana tree\"},\n {\"box_2d\": [318, 947, 376, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [448, 954, 507, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [592, 954, 646, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [662, 964, 709, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [732, 966, 778, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [797, 969, 845, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [872, 974, 916, 1000], \"label\": \"banana tree\"}\n]\n```", "correct": false, "input_tokens": 1226, "output_tokens": 3546, "elapsed_seconds": 32.04262399999425, "metadata": {"match_method": "map", "num_predictions": 37, "num_ground_truth": 41, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7109535336494446, "attempts": 1, "retries": 0, "total_seconds": 32.1253}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 92, "image": "DJI_0151_JPG_jpg.rf.3936c799be65e9829061aeb413261c06.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [477, 342, 681, 408], \"label\": \"excavator\"},\n {\"box_2d\": [0, 631, 494, 709], \"label\": \"tower crane\"},\n {\"box_2d\": [160, 336, 213, 391], \"label\": \"dump truck\"},\n {\"box_2d\": [157, 428, 213, 487], \"label\": \"concrete mixer\"},\n {\"box_2d\": [125, 61, 170, 128], \"label\": \"concrete mixer\"}\n]\n```", "correct": true, "input_tokens": 1245, "output_tokens": 859, "elapsed_seconds": 16.629928041016683, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 16.9958}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 93, "image": "55_jpeg_jpg.rf.004155dfb8cf69dfe8eec1fad7b643e0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [64, 321, 185, 434], \"label\": \"potato\"},\n {\"box_2d\": [61, 912, 179, 1000], \"label\": \"potato\"},\n {\"box_2d\": [245, 804, 386, 911], \"label\": \"potato\"},\n {\"box_2d\": [475, 519, 620, 636], \"label\": \"potato\"},\n {\"box_2d\": [478, 648, 581, 749], \"label\": \"potato\"},\n {\"box_2d\": [478, 808, 574, 910], \"label\": \"potato\"},\n {\"box_2d\": [450, 960, 550, 1000], \"label\": \"potato\"},\n {\"box_2d\": [713, 0, 799, 99], \"label\": \"potato\"},\n {\"box_2d\": [693, 350, 848, 433], \"label\": \"potato\"},\n {\"box_2d\": [704, 585, 801, 681], \"label\": \"potato\"},\n {\"box_2d\": [678, 840, 781, 920], \"label\": \"potato\"},\n {\"box_2d\": [901, 369, 991, 458], \"label\": \"potato\"},\n {\"box_2d\": [883, 617, 984, 718], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1240, "output_tokens": 1565, "elapsed_seconds": 15.286178832990117, "metadata": {"match_method": "map", "num_predictions": 13, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8118811845779419, "attempts": 1, "retries": 0, "total_seconds": 15.3141}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 94, "image": "2024-12-05T02-01-39-892Z-3009_jpg.rf.22fd37099b783ab1f80e4172f8bb073a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [555, 310, 676, 412], \"label\": \"retaining clip\"},\n {\"box_2d\": [464, 494, 593, 585], \"label\": \"retaining clip\"},\n {\"box_2d\": [368, 671, 486, 766], \"label\": \"retaining clip\"},\n {\"box_2d\": [648, 635, 780, 738], \"label\": \"retaining clip\"}\n]\n```", "correct": true, "input_tokens": 1201, "output_tokens": 917, "elapsed_seconds": 11.877230291021988, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 12.0762}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 95, "image": "IMG_20251126_160341_jpg.rf.90a2111f9611ba9b2da6fb1312d0ef72.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [692, 108, 795, 179], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [690, 206, 791, 277], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [682, 297, 783, 368], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [678, 386, 777, 456], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [648, 492, 938, 563], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [663, 587, 767, 658], \"label\": \"white standard price tag\"},\n {\"box_2d\": [663, 700, 759, 771], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [656, 830, 752, 902], \"label\": \"white standard price tag\"},\n {\"box_2d\": [654, 922, 749, 994], \"label\": \"yellow standard price tag\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 1118, "elapsed_seconds": 21.30501299991738, "metadata": {"match_method": "map", "num_predictions": 9, "num_ground_truth": 10, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8349834680557251, "attempts": 1, "retries": 0, "total_seconds": 21.5561}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 96, "image": "tile_267_jpg.rf.d3e282883cf21b5fa393f473090fd4b9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [35, 316, 286, 502], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [296, 513, 546, 705], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [605, 444, 822, 686], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [820, 152, 1000, 408], \"label\": \"ship in SAR satellite image\"}\n]\n```", "correct": true, "input_tokens": 1229, "output_tokens": 1322, "elapsed_seconds": 17.020431332988665, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 17.044}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 97, "image": "IMG_20250815_165441_jpg.rf.4c737e973da64b017b0e386f2b455f62.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [211, 180, 311, 232], \"label\": \"barcode\"},\n {\"box_2d\": [216, 444, 313, 491], \"label\": \"barcode\"},\n {\"box_2d\": [194, 630, 236, 672], \"label\": \"barcode\"},\n {\"box_2d\": [681, 66, 720, 117], \"label\": \"barcode\"},\n {\"box_2d\": [827, 255, 868, 304], \"label\": \"barcode\"},\n {\"box_2d\": [741, 551, 825, 595], \"label\": \"barcode\"},\n {\"box_2d\": [770, 706, 851, 745], \"label\": \"barcode\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 715, "elapsed_seconds": 11.222697583027184, "metadata": {"match_method": "map", "num_predictions": 7, "num_ground_truth": 7, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 11.5026}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 98, "image": "Lego_63_low_jpeg.rf.6dd24c9abacc96bac5fb5a7d9ce3f907.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [46, 196, 135, 294], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [182, 102, 269, 190], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [200, 12, 307, 105], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [98, 427, 207, 530], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [213, 350, 281, 454], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [280, 316, 340, 405], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [395, 316, 466, 429], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [497, 372, 594, 431], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [581, 253, 663, 332], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [584, 323, 669, 412], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [622, 43, 726, 141], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [764, 86, 854, 181], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [828, 266, 907, 366], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [672, 412, 767, 513], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [774, 421, 860, 533], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [470, 536, 571, 611], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [292, 579, 396, 651], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [166, 671, 265, 713], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [172, 710, 250, 762], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [57, 671, 152, 779], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [28, 751, 132, 824], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [221, 796, 307, 875], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [202, 864, 300, 940], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [445, 724, 520, 778], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [412, 788, 492, 855], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [458, 834, 534, 916], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [604, 578, 709, 662], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [710, 588, 750, 684], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [671, 672, 750, 733], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [712, 730, 797, 809], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [679, 777, 728, 874], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [743, 788, 845, 887], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [604, 906, 696, 1000], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [672, 962, 749, 1000], \"label\": \"lego 4x1 brick\"}\n]\n```", "correct": true, "input_tokens": 1244, "output_tokens": 4049, "elapsed_seconds": 34.25835729192477, "metadata": {"match_method": "map", "num_predictions": 34, "num_ground_truth": 34, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9003900289535522, "attempts": 1, "retries": 0, "total_seconds": 34.3346}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 99, "image": "frame_0085_jpg.rf.df2f77641da4fa475877d40e14103949.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [42, 138, 108, 181], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [138, 111, 206, 154], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [259, 129, 329, 175], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [375, 106, 444, 156], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [463, 105, 535, 155], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [589, 83, 673, 137], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [801, 76, 887, 131], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [23, 246, 77, 289], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [131, 229, 198, 269], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [271, 229, 342, 271], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [416, 233, 488, 281], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [678, 227, 766, 273], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [886, 211, 963, 258], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [47, 339, 111, 377], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [159, 345, 221, 381], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [315, 352, 380, 391], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [435, 355, 501, 394], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [527, 339, 597, 385], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [702, 346, 791, 390], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [847, 339, 934, 388], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [230, 427, 307, 468], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [421, 468, 486, 505], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [645, 481, 725, 521], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [863, 472, 920, 515], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [340, 551, 403, 587], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [777, 575, 850, 617], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [180, 608, 235, 642], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [368, 675, 434, 710], \"label\": \"garlic on conveyor\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 2304, "elapsed_seconds": 26.63942079199478, "metadata": {"match_method": "map", "num_predictions": 28, "num_ground_truth": 28, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 26.7445}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 100, "image": "basketball-player-detection_boston-celtics-new-york-knicks-game-4-q1-00-05-00-01-0115_png.rf.268163bdbdd382dbeaa9df9d19cf50ae.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [703, 165, 960, 237], \"label\": \"player\"},\n {\"box_2d\": [773, 180, 800, 194], \"label\": \"jersey number\"},\n {\"box_2d\": [723, 295, 880, 329], \"label\": \"referee\"},\n {\"box_2d\": [540, 360, 760, 405], \"label\": \"player\"},\n {\"box_2d\": [309, 149, 513, 194], \"label\": \"player\"},\n {\"box_2d\": [356, 165, 374, 177], \"label\": \"jersey number\"},\n {\"box_2d\": [313, 104, 463, 160], \"label\": \"player\"},\n {\"box_2d\": [356, 110, 374, 121], \"label\": \"jersey number\"},\n {\"box_2d\": [284, 340, 456, 378], \"label\": \"referee\"},\n {\"box_2d\": [320, 521, 493, 569], \"label\": \"player\"},\n {\"box_2d\": [367, 536, 387, 544], \"label\": \"jersey number\"},\n {\"box_2d\": [347, 544, 533, 612], \"label\": \"player\"},\n {\"box_2d\": [382, 563, 405, 577], \"label\": \"jersey number\"},\n {\"box_2d\": [461, 711, 639, 753], \"label\": \"player\"},\n {\"box_2d\": [449, 732, 667, 778], \"label\": \"player\"},\n {\"box_2d\": [504, 747, 524, 759], \"label\": \"jersey number\"},\n {\"box_2d\": [562, 747, 788, 807], \"label\": \"player\"},\n {\"box_2d\": [609, 811, 842, 874], \"label\": \"player\"},\n {\"box_2d\": [669, 849, 693, 860], \"label\": \"jersey number\"},\n {\"box_2d\": [295, 713, 319, 750], \"label\": \"basket rim\"}\n]\n```", "correct": false, "input_tokens": 1250, "output_tokens": 2570, "elapsed_seconds": 26.571604125085287, "metadata": {"match_method": "map", "num_predictions": 20, "num_ground_truth": 25, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3800094425678253, "attempts": 1, "retries": 0, "total_seconds": 26.6612}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 101, "image": "construction-safety_ppe_0720_jpg.rf.cfd070890ac09790250bebd1b430d69f.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [235, 0, 994, 85], \"label\": \"person\"},\n {\"box_2d\": [235, 11, 297, 59], \"label\": \"safety helmet\"},\n {\"box_2d\": [357, 0, 622, 78], \"label\": \"safety vest\"},\n {\"box_2d\": [289, 75, 986, 179], \"label\": \"person\"},\n {\"box_2d\": [289, 94, 355, 141], \"label\": \"safety helmet\"},\n {\"box_2d\": [400, 83, 653, 166], \"label\": \"safety vest\"},\n {\"box_2d\": [207, 159, 984, 275], \"label\": \"person\"},\n {\"box_2d\": [207, 182, 271, 230], \"label\": \"safety helmet\"},\n {\"box_2d\": [319, 168, 598, 254], \"label\": \"safety vest\"},\n {\"box_2d\": [267, 240, 976, 325], \"label\": \"person\"},\n {\"box_2d\": [265, 257, 333, 305], \"label\": \"safety helmet\"},\n {\"box_2d\": [380, 249, 616, 314], \"label\": \"safety vest\"},\n {\"box_2d\": [191, 293, 994, 405], \"label\": \"person\"},\n {\"box_2d\": [187, 327, 255, 377], \"label\": \"safety helmet\"},\n {\"box_2d\": [323, 308, 586, 403], \"label\": \"safety vest\"},\n {\"box_2d\": [209, 396, 982, 495], \"label\": \"person\"},\n {\"box_2d\": [207, 419, 271, 467], \"label\": \"safety helmet\"},\n {\"box_2d\": [321, 399, 594, 487], \"label\": \"safety vest\"},\n {\"box_2d\": [209, 479, 968, 574], \"label\": \"person\"},\n {\"box_2d\": [207, 490, 271, 538], \"label\": \"safety helmet\"},\n {\"box_2d\": [323, 483, 578, 566], \"label\": \"safety vest\"},\n {\"box_2d\": [241, 563, 982, 665], \"label\": \"person\"},\n {\"box_2d\": [241, 576, 305, 625], \"label\": \"safety helmet\"},\n {\"box_2d\": [357, 569, 596, 651], \"label\": \"safety vest\"},\n {\"box_2d\": [195, 654, 990, 754], \"label\": \"person\"},\n {\"box_2d\": [193, 677, 261, 728], \"label\": \"safety helmet\"},\n {\"box_2d\": [325, 661, 598, 748], \"label\": \"safety vest\"},\n {\"box_2d\": [118, 725, 992, 847], \"label\": \"person\"},\n {\"box_2d\": [116, 745, 201, 804], \"label\": \"safety helmet\"},\n {\"box_2d\": [251, 743, 550, 837], \"label\": \"safety vest\"},\n {\"box_2d\": [149, 808, 223, 854], \"label\": \"safety helmet\"},\n {\"box_2d\": [151, 806, 954, 861], \"label\": \"person\"},\n {\"box_2d\": [179, 822, 990, 905], \"label\": \"person\"},\n {\"box_2d\": [177, 837, 259, 898], \"label\": \"safety helmet\"},\n {\"box_2d\": [315, 826, 639, 901], \"label\": \"safety vest\"},\n {\"box_2d\": [137, 875, 992, 1000], \"label\": \"person\"},\n {\"box_2d\": [137, 900, 229, 980], \"label\": \"safety helmet\"},\n {\"box_2d\": [303, 886, 669, 1000], \"label\": \"safety vest\"}\n]\n```", "correct": true, "input_tokens": 1198, "output_tokens": 2731, "elapsed_seconds": 24.645074000000022, "metadata": {"match_method": "map", "num_predictions": 38, "num_ground_truth": 38, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9695354104042053, "attempts": 1, "retries": 0, "total_seconds": 24.6676}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 102, "image": "fabric-defect_1213_jpg.rf.f4cb351d5d6f226d23075b9a6a549416.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [471, 724, 589, 780], \"label\": \"fabric cut\"},\n {\"box_2d\": [576, 411, 620, 446], \"label\": \"fabric cut\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 684, "elapsed_seconds": 11.8461679170141, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 11.856}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 103, "image": "indir-2-_jpeg_jpg.rf.cabde9f9d89b7527f52820f6df64e1b7.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [363, 248, 381, 583], \"label\": \"dimension annotation\"},\n {\"box_2d\": [416, 90, 519, 212], \"label\": \"dimension annotation\"},\n {\"box_2d\": [434, 303, 518, 449], \"label\": \"dimension annotation\"},\n {\"box_2d\": [530, 69, 574, 138], \"label\": \"dimension annotation\"},\n {\"box_2d\": [423, 654, 575, 680], \"label\": \"dimension annotation\"},\n {\"box_2d\": [615, 181, 633, 289], \"label\": \"dimension annotation\"},\n {\"box_2d\": [615, 415, 633, 515], \"label\": \"dimension annotation\"},\n {\"box_2d\": [615, 515, 633, 583], \"label\": \"dimension annotation\"},\n {\"box_2d\": [618, 754, 641, 890], \"label\": \"dimension annotation\"},\n {\"box_2d\": [678, 55, 707, 81], \"label\": \"dimension annotation\"},\n {\"box_2d\": [707, 55, 844, 81], \"label\": \"dimension annotation\"},\n {\"box_2d\": [759, 249, 776, 344], \"label\": \"dimension annotation\"},\n {\"box_2d\": [814, 622, 845, 648], \"label\": \"dimension annotation\"},\n {\"box_2d\": [753, 662, 802, 751], \"label\": \"dimension annotation\"},\n {\"box_2d\": [914, 207, 985, 977], \"label\": \"technical drawing table\"}\n]\n```", "correct": false, "input_tokens": 1233, "output_tokens": 2467, "elapsed_seconds": 25.412906541954726, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5028287768363953, "attempts": 1, "retries": 0, "total_seconds": 25.4212}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 104, "image": "wood-log-detection_019_png_jpg.rf.0c10ed1caffd0ca9926a3f2f5de3a24a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [150, 58, 217, 152], \"label\": \"log cross-section\"},\n {\"box_2d\": [220, 97, 272, 162], \"label\": \"log cross-section\"},\n {\"box_2d\": [202, 164, 266, 255], \"label\": \"log cross-section\"},\n {\"box_2d\": [184, 236, 227, 278], \"label\": \"log cross-section\"},\n {\"box_2d\": [164, 286, 214, 348], \"label\": \"log cross-section\"},\n {\"box_2d\": [209, 283, 245, 327], \"label\": \"log cross-section\"},\n {\"box_2d\": [211, 327, 291, 422], \"label\": \"log cross-section\"},\n {\"box_2d\": [167, 403, 211, 458], \"label\": \"log cross-section\"},\n {\"box_2d\": [164, 495, 231, 581], \"label\": \"log cross-section\"},\n {\"box_2d\": [231, 420, 327, 553], \"label\": \"log cross-section\"},\n {\"box_2d\": [227, 544, 298, 636], \"label\": \"log cross-section\"},\n {\"box_2d\": [223, 667, 273, 733], \"label\": \"log cross-section\"},\n {\"box_2d\": [222, 733, 280, 805], \"label\": \"log cross-section\"},\n {\"box_2d\": [211, 803, 295, 897], \"label\": \"log cross-section\"},\n {\"box_2d\": [264, 53, 316, 125], \"label\": \"log cross-section\"},\n {\"box_2d\": [314, 67, 364, 136], \"label\": \"log cross-section\"},\n {\"box_2d\": [331, 131, 372, 180], \"label\": \"log cross-section\"},\n {\"box_2d\": [286, 198, 369, 306], \"label\": \"log cross-section\"},\n {\"box_2d\": [250, 280, 294, 330], \"label\": \"log cross-section\"},\n {\"box_2d\": [347, 239, 405, 319], \"label\": \"log cross-section\"},\n {\"box_2d\": [320, 320, 402, 433], \"label\": \"log cross-section\"},\n {\"box_2d\": [353, 422, 400, 494], \"label\": \"log cross-section\"},\n {\"box_2d\": [302, 536, 373, 623], \"label\": \"log cross-section\"},\n {\"box_2d\": [270, 655, 341, 741], \"label\": \"log cross-section\"},\n {\"box_2d\": [277, 744, 317, 797], \"label\": \"log cross-section\"},\n {\"box_2d\": [322, 702, 389, 789], \"label\": \"log cross-section\"},\n {\"box_2d\": [300, 777, 361, 850], \"label\": \"log cross-section\"},\n {\"box_2d\": [391, 91, 450, 170], \"label\": \"log cross-section\"},\n {\"box_2d\": [436, 150, 531, 273], \"label\": \"log cross-section\"},\n {\"box_2d\": [422, 272, 473, 336], \"label\": \"log cross-section\"},\n {\"box_2d\": [395, 427, 433, 483], \"label\": \"log cross-section\"},\n {\"box_2d\": [370, 497, 442, 588], \"label\": \"log cross-section\"},\n {\"box_2d\": [350, 603, 431, 705], \"label\": \"log cross-section\"},\n {\"box_2d\": [366, 802, 408, 855], \"label\": \"log cross-section\"},\n {\"box_2d\": [405, 895, 445, 947], \"label\": \"log cross-section\"},\n {\"box_2d\": [453, 86, 495, 147], \"label\": \"log cross-section\"},\n {\"box_2d\": [494, 70, 559, 153], \"label\": \"log cross-section\"},\n {\"box_2d\": [480, 267, 523, 327], \"label\": \"log cross-section\"},\n {\"box_2d\": [512, 211, 584, 306], \"label\": \"log cross-section\"},\n {\"box_2d\": [503, 306, 567, 386], \"label\": \"log cross-section\"},\n {\"box_2d\": [458, 353, 527, 444], \"label\": \"log cross-section\"},\n {\"box_2d\": [427, 412, 469, 467], \"label\": \"log cross-section\"},\n {\"box_2d\": [453, 448, 516, 538], \"label\": \"log cross-section\"},\n {\"box_2d\": [461, 545, 522, 623], \"label\": \"log cross-section\"},\n {\"box_2d\": [433, 620, 489, 692], \"label\": \"log cross-section\"},\n {\"box_2d\": [477, 672, 517, 725], \"label\": \"log cross-section\"},\n {\"box_2d\": [455, 720, 512, 794], \"label\": \"log cross-section\"},\n {\"box_2d\": [438, 788, 473, 833], \"label\": \"log cross-section\"},\n {\"box_2d\": [467, 833, 502, 875], \"label\": \"log cross-section\"},\n {\"box_2d\": [502, 853, 541, 897], \"label\": \"log cross-section\"},\n {\"box_2d\": [558, 78, 614, 156], \"label\": \"log cross-section\"},\n {\"box_2d\": [530, 159, 562, 206], \"label\": \"log cross-section\"},\n {\"box_2d\": [558, 169, 603, 223], \"label\": \"log cross-section\"},\n {\"box_2d\": [598, 169, 639, 225], \"label\": \"log cross-section\"},\n {\"box_2d\": [584, 223, 647, 308], \"label\": \"log cross-section\"},\n {\"box_2d\": [573, 391, 627, 477], \"label\": \"log cross-section\"},\n {\"box_2d\": [509, 483, 580, 578], \"label\": \"log cross-section\"},\n {\"box_2d\": [577, 486, 627, 573], \"label\": \"log cross-section\"},\n {\"box_2d\": [566, 570, 606, 616], \"label\": \"log cross-section\"},\n {\"box_2d\": [511, 634, 556, 688], \"label\": \"log cross-section\"},\n {\"box_2d\": [544, 606, 598, 678], \"label\": \"log cross-section\"},\n {\"box_2d\": [509, 714, 558, 775], \"label\": \"log cross-section\"},\n {\"box_2d\": [511, 773, 555, 822], \"label\": \"log cross-section\"},\n {\"box_2d\": [522, 827, 555, 862], \"label\": \"log cross-section\"},\n {\"box_2d\": [555, 691, 614, 772], \"label\": \"log cross-section\"},\n {\"box_2d\": [555, 778, 603, 845], \"label\": \"log cross-section\"},\n {\"box_2d\": [583, 841, 619, 884], \"label\": \"log cross-section\"},\n {\"box_2d\": [623, 66, 722, 198], \"label\": \"log cross-section\"},\n {\"box_2d\": [639, 202, 722, 322], \"label\": \"log cross-section\"},\n {\"box_2d\": [689, 298, 725, 339], \"label\": \"log cross-section\"},\n {\"box_2d\": [617, 322, 727, 453], \"label\": \"log cross-section\"},\n {\"box_2d\": [631, 466, 670, 514], \"label\": \"log cross-section\"},\n {\"box_2d\": [670, 466, 741, 555], \"label\": \"log cross-section\"},\n {\"box_2d\": [622, 512, 675, 584], \"label\": \"log cross-section\"},\n {\"box_2d\": [608, 567, 639, 622], \"label\": \"log cross-section\"},\n {\"box_2d\": [631, 581, 677, 642], \"label\": \"log cross-section\"},\n {\"box_2d\": [706, 588, 747, 641], \"label\": \"log cross-section\"},\n {\"box_2d\": [700, 638, 745, 688], \"label\": \"log cross-section\"},\n {\"box_2d\": [612, 670, 659, 731], \"label\": \"log cross-section\"},\n {\"box_2d\": [612, 731, 667, 797], \"label\": \"log cross-section\"},\n {\"box_2d\": [684, 717, 722, 759], \"label\": \"log cross-section\"},\n {\"box_2d\": [711, 791, 748, 833], \"label\": \"log cross-section\"},\n {\"box_2d\": [623, 830, 672, 889], \"label\": \"log cross-section\"},\n {\"box_2d\": [686, 834, 720, 883], \"label\": \"log cross-section\"},\n {\"box_2d\": [603, 814, 642, 855], \"label\": \"log cross-section\"}\n]\n```", "correct": true, "input_tokens": 1228, "output_tokens": 5861, "elapsed_seconds": 49.109581709024496, "metadata": {"match_method": "map", "num_predictions": 85, "num_ground_truth": 91, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8240794539451599, "attempts": 1, "retries": 0, "total_seconds": 49.1318}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 105, "image": "170571v_JPG_jpg.rf.044f16a58ffbf60b2d7a3d41cd3a4fdf.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [443, 458, 1000, 691], \"label\": \"cracked insulator\"},\n {\"box_2d\": [443, 461, 513, 673], \"label\": \"cracked insulator\"},\n {\"box_2d\": [499, 466, 571, 675], \"label\": \"cracked insulator\"},\n {\"box_2d\": [713, 495, 779, 681], \"label\": \"cracked insulator\"},\n {\"box_2d\": [764, 486, 841, 685], \"label\": \"cracked insulator\"}\n]\n```", "correct": false, "input_tokens": 1244, "output_tokens": 4215, "elapsed_seconds": 58.0513022079831, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6415841579437256, "attempts": 1, "retries": 0, "total_seconds": 58.4083}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 106, "image": "IMG_20260128_081412_jpg.rf.4a044ae2d306c8ba7e741477be920225.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [26, 0, 127, 56], \"label\": \"white standard price tag\"},\n {\"box_2d\": [30, 69, 134, 138], \"label\": \"white standard price tag\"},\n {\"box_2d\": [32, 141, 132, 220], \"label\": \"white standard price tag\"},\n {\"box_2d\": [40, 239, 137, 311], \"label\": \"white standard price tag\"},\n {\"box_2d\": [43, 336, 141, 410], \"label\": \"white standard price tag\"},\n {\"box_2d\": [46, 418, 144, 492], \"label\": \"white standard price tag\"},\n {\"box_2d\": [59, 529, 152, 601], \"label\": \"white standard price tag\"},\n {\"box_2d\": [61, 667, 156, 740], \"label\": \"white standard price tag\"},\n {\"box_2d\": [70, 767, 165, 843], \"label\": \"white standard price tag\"},\n {\"box_2d\": [76, 847, 171, 923], \"label\": \"white standard price tag\"},\n {\"box_2d\": [76, 925, 169, 998], \"label\": \"white standard price tag\"},\n {\"box_2d\": [656, 48, 744, 122], \"label\": \"white standard price tag\"},\n {\"box_2d\": [677, 218, 767, 287], \"label\": \"white standard price tag\"},\n {\"box_2d\": [682, 326, 771, 396], \"label\": \"white standard price tag\"},\n {\"box_2d\": [668, 419, 927, 487], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [676, 560, 932, 628], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [692, 646, 782, 716], \"label\": \"white standard price tag\"},\n {\"box_2d\": [695, 725, 785, 796], \"label\": \"white standard price tag\"},\n {\"box_2d\": [698, 819, 788, 894], \"label\": \"white standard price tag\"},\n {\"box_2d\": [703, 893, 792, 954], \"label\": \"white standard price tag\"},\n {\"box_2d\": [695, 944, 945, 1000], \"label\": \"yellow large price tag\"}\n]\n```", "correct": true, "input_tokens": 1222, "output_tokens": 2455, "elapsed_seconds": 33.05740370799322, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 21, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 33.3907}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 107, "image": "IMG_20220316_163220_jpg.rf.07e174636631b0be143879d240f8f468.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [287, 79, 756, 378], \"label\": \"three of diamonds\"},\n {\"box_2d\": [408, 80, 926, 405], \"label\": \"ace of diamonds\"},\n {\"box_2d\": [400, 396, 871, 731], \"label\": \"two of diamonds\"},\n {\"box_2d\": [155, 453, 636, 811], \"label\": \"four of diamonds\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 647, "elapsed_seconds": 9.159105209051631, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 9.1879}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 108, "image": "2e57b9_3_10_png_jpg.rf.93746b4a960366b1a012ad339a5d68e1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [474, 138, 513, 148], \"label\": \"goalkeeper\"},\n {\"box_2d\": [577, 57, 626, 70], \"label\": \"player\"},\n {\"box_2d\": [748, 159, 811, 180], \"label\": \"player\"},\n {\"box_2d\": [582, 236, 628, 248], \"label\": \"player\"},\n {\"box_2d\": [481, 211, 520, 224], \"label\": \"player\"},\n {\"box_2d\": [459, 216, 497, 229], \"label\": \"player\"},\n {\"box_2d\": [501, 283, 543, 296], \"label\": \"player\"},\n {\"box_2d\": [424, 263, 459, 272], \"label\": \"player\"},\n {\"box_2d\": [378, 391, 409, 398], \"label\": \"player\"},\n {\"box_2d\": [416, 390, 450, 398], \"label\": \"player\"},\n {\"box_2d\": [445, 458, 484, 466], \"label\": \"player\"},\n {\"box_2d\": [493, 479, 535, 489], \"label\": \"referee\"},\n {\"box_2d\": [472, 500, 511, 509], \"label\": \"player\"},\n {\"box_2d\": [544, 463, 591, 476], \"label\": \"player\"},\n {\"box_2d\": [543, 495, 591, 505], \"label\": \"player\"},\n {\"box_2d\": [585, 438, 634, 447], \"label\": \"player\"},\n {\"box_2d\": [588, 349, 639, 360], \"label\": \"player\"},\n {\"box_2d\": [689, 486, 749, 499], \"label\": \"player\"},\n {\"box_2d\": [405, 630, 440, 637], \"label\": \"player\"},\n {\"box_2d\": [407, 658, 441, 667], \"label\": \"player\"},\n {\"box_2d\": [452, 676, 490, 684], \"label\": \"player\"},\n {\"box_2d\": [534, 694, 581, 704], \"label\": \"player\"},\n {\"box_2d\": [908, 746, 987, 773], \"label\": \"referee\"}\n]\n```", "correct": false, "input_tokens": 1242, "output_tokens": 2529, "elapsed_seconds": 27.946779582998715, "metadata": {"match_method": "map", "num_predictions": 23, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6534653306007385, "attempts": 1, "retries": 0, "total_seconds": 28.0399}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 109, "image": "img283_png.rf.c0609f1f38390a89165e7c735d693ab6.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [28, 540, 96, 625], \"label\": \"and gate symbol\"},\n {\"box_2d\": [76, 366, 143, 450], \"label\": \"and gate symbol\"},\n {\"box_2d\": [123, 540, 191, 625], \"label\": \"and gate symbol\"},\n {\"box_2d\": [170, 756, 238, 840], \"label\": \"or gate symbol\"},\n {\"box_2d\": [218, 540, 286, 625], \"label\": \"and gate symbol\"},\n {\"box_2d\": [250, 366, 318, 450], \"label\": \"and gate symbol\"},\n {\"box_2d\": [330, 540, 397, 625], \"label\": \"and gate symbol\"},\n {\"box_2d\": [345, 36, 389, 80], \"label\": \"not gate symbol\"},\n {\"box_2d\": [345, 90, 389, 134], \"label\": \"not gate symbol\"},\n {\"box_2d\": [392, 392, 461, 478], \"label\": \"and gate symbol\"},\n {\"box_2d\": [440, 540, 508, 625], \"label\": \"or gate symbol\"},\n {\"box_2d\": [487, 392, 555, 478], \"label\": \"and gate symbol\"},\n {\"box_2d\": [551, 144, 595, 188], \"label\": \"not gate symbol\"},\n {\"box_2d\": [551, 197, 595, 241], \"label\": \"not gate symbol\"},\n {\"box_2d\": [535, 701, 603, 787], \"label\": \"and gate symbol\"},\n {\"box_2d\": [582, 392, 650, 478], \"label\": \"and gate symbol\"},\n {\"box_2d\": [630, 540, 698, 625], \"label\": \"or gate symbol\"},\n {\"box_2d\": [678, 392, 745, 478], \"label\": \"and gate symbol\"},\n {\"box_2d\": [662, 864, 730, 948], \"label\": \"or gate symbol\"},\n {\"box_2d\": [788, 366, 856, 450], \"label\": \"and gate symbol\"},\n {\"box_2d\": [835, 554, 903, 638], \"label\": \"or gate symbol\"},\n {\"box_2d\": [914, 352, 982, 437], \"label\": \"and gate symbol\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 2217, "elapsed_seconds": 23.07949945901055, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 23.0923}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 110, "image": "000002_png.rf.4f51fa98e7c1b825375b26d30324d587.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [156, 204, 169, 226], \"label\": \"tire spike absent\"},\n {\"box_2d\": [196, 245, 213, 270], \"label\": \"tire spike absent\"},\n {\"box_2d\": [252, 298, 270, 323], \"label\": \"tire spike absent\"},\n {\"box_2d\": [347, 326, 366, 353], \"label\": \"tire spike normal\"},\n {\"box_2d\": [411, 381, 431, 408], \"label\": \"tire spike normal\"},\n {\"box_2d\": [507, 377, 528, 405], \"label\": \"tire spike normal\"},\n {\"box_2d\": [572, 433, 592, 460], \"label\": \"tire spike normal\"},\n {\"box_2d\": [759, 496, 779, 524], \"label\": \"tire spike normal\"},\n {\"box_2d\": [828, 570, 845, 594], \"label\": \"tire spike absent\"},\n {\"box_2d\": [903, 561, 918, 583], \"label\": \"tire spike absent\"},\n {\"box_2d\": [939, 616, 953, 636], \"label\": \"tire spike normal\"},\n {\"box_2d\": [176, 575, 190, 595], \"label\": \"tire spike normal\"},\n {\"box_2d\": [245, 642, 260, 665], \"label\": \"tire spike normal\"},\n {\"box_2d\": [334, 678, 351, 701], \"label\": \"tire spike normal\"},\n {\"box_2d\": [390, 745, 406, 767], \"label\": \"tire spike normal\"},\n {\"box_2d\": [466, 765, 483, 789], \"label\": \"tire spike normal\"},\n {\"box_2d\": [544, 781, 561, 804], \"label\": \"tire spike normal\"},\n {\"box_2d\": [614, 839, 632, 862], \"label\": \"tire spike normal\"},\n {\"box_2d\": [716, 836, 732, 858], \"label\": \"tire spike normal\"},\n {\"box_2d\": [766, 876, 782, 895], \"label\": \"tire spike normal\"}\n]\n```", "correct": false, "input_tokens": 1244, "output_tokens": 2095, "elapsed_seconds": 19.233258833060972, "metadata": {"match_method": "map", "num_predictions": 20, "num_ground_truth": 25, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7564356327056885, "attempts": 1, "retries": 0, "total_seconds": 19.2627}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 111, "image": "20210325_203906_jpg.rf.933d9e03e479d146bb70034cc952f103.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [153, 223, 300, 372], \"label\": \"1 euro cent coin\"},\n {\"box_2d\": [125, 517, 300, 691], \"label\": \"2 euro cent coin\"},\n {\"box_2d\": [264, 364, 455, 555], \"label\": \"5 euro cent coin\"},\n {\"box_2d\": [320, 72, 538, 291], \"label\": \"50 euro cent coin\"},\n {\"box_2d\": [331, 653, 567, 892], \"label\": \"2 euro coin\"},\n {\"box_2d\": [477, 459, 672, 656], \"label\": \"20 euro cent coin\"},\n {\"box_2d\": [541, 217, 742, 420], \"label\": \"1 euro coin\"},\n {\"box_2d\": [761, 434, 927, 605], \"label\": \"10 euro cent coin\"}\n]\n```", "correct": true, "input_tokens": 1272, "output_tokens": 987, "elapsed_seconds": 9.369269917020574, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 9.3812}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 112, "image": "IMG_6680_jpeg_jpg.rf.a7e13dbe56d360a8422903a30c5bef2b.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [451, 29, 529, 199], \"label\": \"green poker chip\"},\n {\"box_2d\": [490, 28, 546, 201], \"label\": \"green poker chip\"},\n {\"box_2d\": [502, 32, 563, 206], \"label\": \"green poker chip\"},\n {\"box_2d\": [448, 226, 521, 386], \"label\": \"orange poker chip\"},\n {\"box_2d\": [485, 229, 540, 387], \"label\": \"orange poker chip\"},\n {\"box_2d\": [497, 214, 563, 371], \"label\": \"orange poker chip\"},\n {\"box_2d\": [445, 431, 517, 584], \"label\": \"red poker chip\"},\n {\"box_2d\": [476, 420, 536, 577], \"label\": \"red poker chip\"},\n {\"box_2d\": [499, 434, 560, 590], \"label\": \"red poker chip\"},\n {\"box_2d\": [448, 622, 521, 783], \"label\": \"blue poker chip\"},\n {\"box_2d\": [486, 622, 540, 782], \"label\": \"blue poker chip\"},\n {\"box_2d\": [503, 624, 564, 789], \"label\": \"blue poker chip\"},\n {\"box_2d\": [439, 801, 509, 973], \"label\": \"white poker chip\"},\n {\"box_2d\": [478, 813, 534, 988], \"label\": \"white poker chip\"},\n {\"box_2d\": [492, 812, 551, 988], \"label\": \"white poker chip\"}\n]\n```", "correct": true, "input_tokens": 1243, "output_tokens": 1656, "elapsed_seconds": 14.94305679097306, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 14.9649}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 113, "image": "paper-parts_1947_92_jpg.rf.c89564b4b37a6d7828cc26ccdadbe488.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [99, 860, 114, 880], \"label\": \"page number\"},\n {\"box_2d\": [142, 235, 471, 766], \"label\": \"figure\"},\n {\"box_2d\": [485, 118, 519, 881], \"label\": \"figure caption\"},\n {\"box_2d\": [523, 495, 536, 500], \"label\": \"paragraph\"},\n {\"box_2d\": [550, 267, 565, 732], \"label\": \"table caption\"},\n {\"box_2d\": [579, 224, 691, 775], \"label\": \"table\"},\n {\"box_2d\": [720, 118, 753, 881], \"label\": \"paragraph\"},\n {\"box_2d\": [776, 118, 791, 336], \"label\": \"subsection\"},\n {\"box_2d\": [804, 118, 837, 881], \"label\": \"paragraph\"},\n {\"box_2d\": [852, 427, 872, 572], \"label\": \"equation\"},\n {\"box_2d\": [887, 118, 905, 536], \"label\": \"paragraph\"}\n]\n```", "correct": true, "input_tokens": 1255, "output_tokens": 1471, "elapsed_seconds": 12.63514450006187, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 10, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8437498807907104, "attempts": 1, "retries": 0, "total_seconds": 12.6812}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 114, "image": "160623_JPG_jpg.rf.4a3c396118b0f749044f2bf5dc9876a6.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [95, 410, 184, 516], \"label\": \"insulator flashover\"},\n {\"box_2d\": [221, 410, 312, 515], \"label\": \"insulator flashover\"},\n {\"box_2d\": [411, 409, 502, 514], \"label\": \"insulator flashover\"},\n {\"box_2d\": [652, 411, 740, 511], \"label\": \"insulator flashover\"}\n]\n```", "correct": true, "input_tokens": 1218, "output_tokens": 3415, "elapsed_seconds": 43.103391624987125, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.801980197429657, "attempts": 1, "retries": 0, "total_seconds": 43.7041}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 115, "image": "97_jpg.rf.6e96875525666efd5c6ee92a42ea704b.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [160, 444, 232, 489], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [504, 115, 620, 160], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [365, 417, 452, 468], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [550, 519, 646, 562], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [360, 771, 446, 811], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [388, 258, 434, 315], \"label\": \"resistor symbol\"},\n {\"box_2d\": [395, 639, 440, 709], \"label\": \"resistor symbol\"},\n {\"box_2d\": [809, 286, 857, 351], \"label\": \"resistor symbol\"},\n {\"box_2d\": [556, 862, 695, 887], \"label\": \"resistor symbol\"}\n]\n```", "correct": true, "input_tokens": 1251, "output_tokens": 1098, "elapsed_seconds": 10.427366625051945, "metadata": {"match_method": "map", "num_predictions": 9, "num_ground_truth": 9, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 10.4325}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 116, "image": "IMG_20260128_081234_jpg.rf.66b0abebc9fc2c6dc309b213a32ddf78.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 82, 363, 189], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [10, 298, 354, 396], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [27, 405, 358, 491], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [57, 589, 169, 666], \"label\": \"white standard price tag\"},\n {\"box_2d\": [64, 900, 174, 976], \"label\": \"white standard price tag\"},\n {\"box_2d\": [732, 37, 839, 108], \"label\": \"white standard price tag\"},\n {\"box_2d\": [745, 258, 845, 332], \"label\": \"white standard price tag\"},\n {\"box_2d\": [743, 354, 842, 427], \"label\": \"white standard price tag\"},\n {\"box_2d\": [735, 441, 836, 512], \"label\": \"white standard price tag\"},\n {\"box_2d\": [741, 557, 843, 628], \"label\": \"white standard price tag\"},\n {\"box_2d\": [744, 699, 845, 770], \"label\": \"white standard price tag\"},\n {\"box_2d\": [746, 806, 845, 876], \"label\": \"white standard price tag\"},\n {\"box_2d\": [745, 881, 845, 948], \"label\": \"white standard price tag\"},\n {\"box_2d\": [746, 946, 845, 1000], \"label\": \"white standard price tag\"}\n]\n```", "correct": true, "input_tokens": 1222, "output_tokens": 2369, "elapsed_seconds": 27.392598874983378, "metadata": {"match_method": "map", "num_predictions": 14, "num_ground_truth": 14, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 27.6809}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 117, "image": "1668147222__jpg.rf.44d299ff8b2787b4176e92260de001ce.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [598, 40, 645, 70], \"label\": \"five die\"},\n {\"box_2d\": [505, 108, 561, 141], \"label\": \"six die\"},\n {\"box_2d\": [355, 125, 403, 154], \"label\": \"six die\"},\n {\"box_2d\": [568, 144, 625, 179], \"label\": \"three die\"},\n {\"box_2d\": [841, 121, 900, 155], \"label\": \"five die\"},\n {\"box_2d\": [279, 206, 329, 236], \"label\": \"five die\"},\n {\"box_2d\": [422, 220, 470, 249], \"label\": \"five die\"},\n {\"box_2d\": [374, 291, 429, 324], \"label\": \"one die\"},\n {\"box_2d\": [424, 304, 473, 331], \"label\": \"two die\"},\n {\"box_2d\": [583, 283, 635, 313], \"label\": \"six die\"},\n {\"box_2d\": [130, 317, 187, 349], \"label\": \"four die\"},\n {\"box_2d\": [175, 381, 233, 413], \"label\": \"two die\"},\n {\"box_2d\": [135, 398, 193, 430], \"label\": \"one die\"},\n {\"box_2d\": [526, 390, 581, 422], \"label\": \"four die\"},\n {\"box_2d\": [643, 372, 701, 404], \"label\": \"six die\"},\n {\"box_2d\": [755, 448, 805, 476], \"label\": \"five die\"},\n {\"box_2d\": [401, 473, 456, 503], \"label\": \"one die\"},\n {\"box_2d\": [302, 489, 353, 517], \"label\": \"three die\"},\n {\"box_2d\": [213, 495, 272, 529], \"label\": \"one die\"},\n {\"box_2d\": [230, 528, 282, 557], \"label\": \"two die\"},\n {\"box_2d\": [182, 538, 239, 572], \"label\": \"four die\"},\n {\"box_2d\": [125, 553, 182, 583], \"label\": \"two die\"},\n {\"box_2d\": [170, 569, 227, 601], \"label\": \"two die\"},\n {\"box_2d\": [20, 613, 81, 645], \"label\": \"five die\"},\n {\"box_2d\": [376, 530, 431, 562], \"label\": \"six die\"},\n {\"box_2d\": [625, 501, 673, 528], \"label\": \"two die\"},\n {\"box_2d\": [759, 509, 813, 538], \"label\": \"four die\"},\n {\"box_2d\": [628, 540, 687, 574], \"label\": \"two die\"},\n {\"box_2d\": [771, 563, 829, 596], \"label\": \"four die\"},\n {\"box_2d\": [589, 582, 639, 609], \"label\": \"four die\"},\n {\"box_2d\": [460, 586, 518, 619], \"label\": \"six die\"},\n {\"box_2d\": [285, 611, 344, 645], \"label\": \"two die\"},\n {\"box_2d\": [334, 633, 384, 662], \"label\": \"two die\"},\n {\"box_2d\": [396, 639, 446, 668], \"label\": \"five die\"},\n {\"box_2d\": [481, 626, 540, 659], \"label\": \"one die\"},\n {\"box_2d\": [537, 628, 591, 658], \"label\": \"four die\"},\n {\"box_2d\": [568, 650, 626, 683], \"label\": \"six die\"},\n {\"box_2d\": [640, 665, 697, 697], \"label\": \"three die\"},\n {\"box_2d\": [353, 695, 403, 723], \"label\": \"four die\"},\n {\"box_2d\": [138, 728, 193, 759], \"label\": \"one die\"},\n {\"box_2d\": [400, 730, 460, 765], \"label\": \"four die\"},\n {\"box_2d\": [464, 742, 522, 777], \"label\": \"five die\"},\n {\"box_2d\": [515, 757, 567, 788], \"label\": \"two die\"},\n {\"box_2d\": [585, 769, 643, 803], \"label\": \"three die\"},\n {\"box_2d\": [158, 792, 217, 826], \"label\": \"three die\"},\n {\"box_2d\": [448, 858, 498, 888], \"label\": \"four die\"},\n {\"box_2d\": [699, 912, 748, 943], \"label\": \"five die\"},\n {\"box_2d\": [126, 917, 184, 950], \"label\": \"two die\"},\n {\"box_2d\": [82, 934, 132, 965], \"label\": \"two die\"},\n {\"box_2d\": [127, 948, 178, 978], \"label\": \"three die\"}\n]\n```", "correct": true, "input_tokens": 1252, "output_tokens": 5424, "elapsed_seconds": 44.17055629205424, "metadata": {"match_method": "map", "num_predictions": 50, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9177667498588562, "attempts": 1, "retries": 0, "total_seconds": 44.2123}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 118, "image": "IMG_0603_jpeg.rf.ecb146a41f95c297fa9a3a9efb0e3ea5.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [461, 213, 616, 311], \"label\": \"peach jelly bean\"},\n {\"box_2d\": [338, 396, 456, 466], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [466, 519, 589, 640], \"label\": \"caramel corn jelly bean\"},\n {\"box_2d\": [344, 688, 446, 800], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [95, 769, 159, 825], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [101, 821, 161, 873], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [120, 867, 164, 912], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [151, 855, 216, 905], \"label\": \"caramel corn jelly bean\"}\n]\n```", "correct": true, "input_tokens": 1230, "output_tokens": 5644, "elapsed_seconds": 47.746292291907594, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8341583609580994, "attempts": 2, "retries": 1, "total_seconds": 113.1023, "transient_errors": ["RemoteProtocolError"]}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 119, "image": "lot229_JPEG_jpg.rf.ffdf35568953f3fde9f8f46749018268.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [119, 412, 160, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [117, 452, 136, 495], \"label\": \"chicory seed\"},\n {\"box_2d\": [122, 467, 152, 507], \"label\": \"chicory seed\"},\n {\"box_2d\": [127, 490, 165, 521], \"label\": \"chicory seed\"},\n {\"box_2d\": [138, 431, 168, 468], \"label\": \"chicory seed\"},\n {\"box_2d\": [152, 451, 181, 488], \"label\": \"chicory seed\"},\n {\"box_2d\": [125, 539, 145, 585], \"label\": \"chicory seed\"},\n {\"box_2d\": [130, 355, 171, 378], \"label\": \"chicory seed\"},\n {\"box_2d\": [140, 377, 180, 399], \"label\": \"chicory seed\"},\n {\"box_2d\": [168, 297, 190, 342], \"label\": \"chicory seed\"},\n {\"box_2d\": [169, 348, 208, 371], \"label\": \"chicory seed\"},\n {\"box_2d\": [181, 265, 203, 300], \"label\": \"chicory seed\"},\n {\"box_2d\": [195, 240, 214, 283], \"label\": \"chicory seed\"},\n {\"box_2d\": [213, 255, 232, 296], \"label\": \"chicory seed\"},\n {\"box_2d\": [189, 315, 219, 352], \"label\": \"chicory seed\"},\n {\"box_2d\": [187, 391, 220, 426], \"label\": \"chicory seed\"},\n {\"box_2d\": [192, 426, 217, 469], \"label\": \"chicory seed\"},\n {\"box_2d\": [202, 355, 233, 395], \"label\": \"chicory seed\"},\n {\"box_2d\": [213, 446, 232, 488], \"label\": \"chicory seed\"},\n {\"box_2d\": [164, 493, 205, 514], \"label\": \"chicory seed\"},\n {\"box_2d\": [157, 511, 176, 552], \"label\": \"chicory seed\"},\n {\"box_2d\": [171, 513, 194, 554], \"label\": \"chicory seed\"},\n {\"box_2d\": [191, 507, 218, 548], \"label\": \"chicory seed\"},\n {\"box_2d\": [156, 550, 183, 591], \"label\": \"chicory seed\"},\n {\"box_2d\": [172, 556, 196, 599], \"label\": \"chicory seed\"},\n {\"box_2d\": [194, 530, 228, 563], \"label\": \"chicory seed\"},\n {\"box_2d\": [160, 599, 201, 619], \"label\": \"chicory seed\"},\n {\"box_2d\": [168, 618, 209, 637], \"label\": \"chicory seed\"},\n {\"box_2d\": [167, 658, 196, 695], \"label\": \"chicory seed\"},\n {\"box_2d\": [201, 600, 241, 621], \"label\": \"chicory seed\"},\n {\"box_2d\": [213, 609, 249, 643], \"label\": \"chicory seed\"},\n {\"box_2d\": [228, 617, 264, 651], \"label\": \"chicory seed\"},\n {\"box_2d\": [221, 646, 253, 671], \"label\": \"chicory seed\"},\n {\"box_2d\": [199, 678, 238, 702], \"label\": \"chicory seed\"},\n {\"box_2d\": [207, 700, 246, 719], \"label\": \"chicory seed\"},\n {\"box_2d\": [237, 718, 277, 743], \"label\": \"chicory seed\"},\n {\"box_2d\": [241, 667, 272, 702], \"label\": \"chicory seed\"},\n {\"box_2d\": [252, 638, 291, 665], \"label\": \"chicory seed\"},\n {\"box_2d\": [209, 316, 249, 344], \"label\": \"chicory seed\"},\n {\"box_2d\": [225, 302, 260, 333], \"label\": \"chicory seed\"},\n {\"box_2d\": [226, 265, 260, 303], \"label\": \"chicory seed\"},\n {\"box_2d\": [216, 231, 257, 251], \"label\": \"chicory seed\"},\n {\"box_2d\": [231, 247, 269, 266], \"label\": \"chicory seed\"},\n {\"box_2d\": [250, 199, 277, 239], \"label\": \"chicory seed\"},\n {\"box_2d\": [264, 245, 286, 286], \"label\": \"chicory seed\"},\n {\"box_2d\": [267, 222, 297, 247], \"label\": \"chicory seed\"},\n {\"box_2d\": [232, 341, 265, 376], \"label\": \"chicory seed\"},\n {\"box_2d\": [240, 357, 274, 390], \"label\": \"chicory seed\"},\n {\"box_2d\": [224, 381, 242, 421], \"label\": \"chicory seed\"},\n {\"box_2d\": [241, 391, 276, 425], \"label\": \"chicory seed\"},\n {\"box_2d\": [259, 306, 279, 350], \"label\": \"chicory seed\"},\n {\"box_2d\": [209, 548, 237, 582], \"label\": \"chicory seed\"},\n {\"box_2d\": [215, 560, 245, 597], \"label\": \"chicory seed\"},\n {\"box_2d\": [231, 565, 259, 606], \"label\": \"chicory seed\"},\n {\"box_2d\": [219, 488, 242, 533], \"label\": \"chicory seed\"},\n {\"box_2d\": [233, 495, 258, 538], \"label\": \"chicory seed\"},\n {\"box_2d\": [234, 471, 277, 498], \"label\": \"chicory seed\"},\n {\"box_2d\": [233, 521, 262, 557], \"label\": \"chicory seed\"},\n {\"box_2d\": [259, 500, 288, 536], \"label\": \"chicory seed\"},\n {\"box_2d\": [253, 530, 277, 569], \"label\": \"chicory seed\"},\n {\"box_2d\": [254, 568, 278, 608], \"label\": \"chicory seed\"},\n {\"box_2d\": [258, 605, 294, 637], \"label\": \"chicory seed\"},\n {\"box_2d\": [270, 590, 305, 622], \"label\": \"chicory seed\"},\n {\"box_2d\": [278, 571, 315, 596], \"label\": \"chicory seed\"},\n {\"box_2d\": [273, 536, 292, 572], \"label\": \"chicory seed\"},\n {\"box_2d\": [292, 533, 312, 576], \"label\": \"chicory seed\"},\n {\"box_2d\": [263, 411, 282, 455], \"label\": \"chicory seed\"},\n {\"box_2d\": [281, 399, 299, 441], \"label\": \"chicory seed\"},\n {\"box_2d\": [271, 373, 310, 402], \"label\": \"chicory seed\"},\n {\"box_2d\": [274, 331, 293, 373], \"label\": \"chicory seed\"},\n {\"box_2d\": [282, 286, 302, 330], \"label\": \"chicory seed\"},\n {\"box_2d\": [287, 257, 315, 296], \"label\": \"chicory seed\"},\n {\"box_2d\": [293, 324, 319, 367], \"label\": \"chicory seed\"},\n {\"box_2d\": [305, 299, 330, 340], \"label\": \"chicory seed\"},\n {\"box_2d\": [290, 365, 325, 399], \"label\": \"chicory seed\"},\n {\"box_2d\": [318, 204, 353, 234], \"label\": \"chicory seed\"},\n {\"box_2d\": [305, 236, 339, 269], \"label\": \"chicory seed\"},\n {\"box_2d\": [314, 270, 343, 311], \"label\": \"chicory seed\"},\n {\"box_2d\": [331, 270, 361, 311], \"label\": \"chicory seed\"},\n {\"box_2d\": [333, 249, 367, 288], \"label\": \"chicory seed\"},\n {\"box_2d\": [319, 348, 341, 388], \"label\": \"chicory seed\"},\n {\"box_2d\": [335, 321, 355, 365], \"label\": \"chicory seed\"},\n {\"box_2d\": [348, 313, 373, 356], \"label\": \"chicory seed\"},\n {\"box_2d\": [364, 278, 386, 320], \"label\": \"chicory seed\"},\n {\"box_2d\": [343, 357, 381, 387], \"label\": \"chicory seed\"},\n {\"box_2d\": [322, 391, 345, 433], \"label\": \"chicory seed\"},\n {\"box_2d\": [343, 390, 366, 431], \"label\": \"chicory seed\"},\n {\"box_2d\": [368, 376, 405, 397], \"label\": \"chicory seed\"},\n {\"box_2d\": [363, 397, 387, 435], \"label\": \"chicory seed\"},\n {\"box_2d\": [376, 406, 400, 446], \"label\": \"chicory seed\"},\n {\"box_2d\": [301, 407, 337, 439], \"label\": \"chicory seed\"},\n {\"box_2d\": [298, 428, 332, 454], \"label\": \"chicory seed\"},\n {\"box_2d\": [286, 443, 324, 469], \"label\": \"chicory seed\"},\n {\"box_2d\": [290, 459, 317, 499], \"label\": \"chicory seed\"},\n {\"box_2d\": [319, 456, 338, 501], \"label\": \"chicory seed\"},\n {\"box_2d\": [332, 436, 357, 480], \"label\": \"chicory seed\"},\n {\"box_2d\": [345, 431, 377, 461], \"label\": \"chicory seed\"},\n {\"box_2d\": [357, 453, 389, 490], \"label\": \"chicory seed\"},\n {\"box_2d\": [288, 500, 322, 529], \"label\": \"chicory seed\"},\n {\"box_2d\": [309, 516, 332, 558], \"label\": \"chicory seed\"},\n {\"box_2d\": [326, 495, 365, 519], \"label\": \"chicory seed\"},\n {\"box_2d\": [336, 525, 376, 553], \"label\": \"chicory seed\"},\n {\"box_2d\": [309, 558, 347, 577], \"label\": \"chicory seed\"},\n {\"box_2d\": [315, 571, 355, 594], \"label\": \"chicory seed\"},\n {\"box_2d\": [336, 545, 373, 576], \"label\": \"chicory seed\"},\n {\"box_2d\": [333, 579, 373, 601], \"label\": \"chicory seed\"},\n {\"box_2d\": [306, 597, 345, 616], \"label\": \"chicory seed\"},\n {\"box_2d\": [296, 617, 330, 654], \"label\": \"chicory seed\"},\n {\"box_2d\": [305, 639, 332, 680], \"label\": \"chicory seed\"},\n {\"box_2d\": [330, 602, 370, 628], \"label\": \"chicory seed\"},\n {\"box_2d\": [329, 619, 366, 649], \"label\": \"chicory seed\"},\n {\"box_2d\": [327, 656, 368, 683], \"label\": \"chicory seed\"},\n {\"box_2d\": [351, 617, 378, 658], \"label\": \"chicory seed\"},\n {\"box_2d\": [369, 634, 392, 676], \"label\": \"chicory seed\"},\n {\"box_2d\": [324, 683, 360, 717], \"label\": \"chicory seed\"},\n {\"box_2d\": [279, 720, 320, 740], \"label\": \"chicory seed\"},\n {\"box_2d\": [273, 748, 315, 771], \"label\": \"chicory seed\"},\n {\"box_2d\": [277, 763, 313, 792], \"label\": \"chicory seed\"},\n {\"box_2d\": [307, 774, 348, 799], \"label\": \"chicory seed\"},\n {\"box_2d\": [330, 787, 363, 822], \"label\": \"chicory seed\"},\n {\"box_2d\": [350, 788, 380, 830], \"label\": \"chicory seed\"},\n {\"box_2d\": [359, 745, 379, 785], \"label\": \"chicory seed\"},\n {\"box_2d\": [361, 704, 395, 738], \"label\": \"chicory seed\"},\n {\"box_2d\": [360, 681, 388, 715], \"label\": \"chicory seed\"},\n {\"box_2d\": [381, 685, 409, 724], \"label\": \"chicory seed\"},\n {\"box_2d\": [376, 127, 399, 169], \"label\": \"chicory seed\"},\n {\"box_2d\": [385, 146, 414, 177], \"label\": \"chicory seed\"},\n {\"box_2d\": [365, 189, 405, 212], \"label\": \"chicory seed\"},\n {\"box_2d\": [406, 179, 446, 200], \"label\": \"chicory seed\"},\n {\"box_2d\": [394, 205, 424, 243], \"label\": \"chicory seed\"},\n {\"box_2d\": [399, 231, 433, 258], \"label\": \"chicory seed\"},\n {\"box_2d\": [424, 198, 459, 226], \"label\": \"chicory seed\"},\n {\"box_2d\": [426, 232, 457, 269], \"label\": \"chicory seed\"},\n {\"box_2d\": [460, 192, 478, 232], \"label\": \"chicory seed\"},\n {\"box_2d\": [485, 189, 524, 214], \"label\": \"chicory seed\"},\n {\"box_2d\": [461, 243, 495, 280], \"label\": \"chicory seed\"},\n {\"box_2d\": [479, 234, 509, 273], \"label\": \"chicory seed\"},\n {\"box_2d\": [402, 275, 441, 305], \"label\": \"chicory seed\"},\n {\"box_2d\": [404, 304, 444, 327], \"label\": \"chicory seed\"},\n {\"box_2d\": [422, 327, 459, 349], \"label\": \"chicory seed\"},\n {\"box_2d\": [399, 343, 435, 373], \"label\": \"chicory seed\"},\n {\"box_2d\": [525, 221, 562, 252], \"label\": \"chicory seed\"},\n {\"box_2d\": [522, 246, 555, 285], \"label\": \"chicory seed\"},\n {\"box_2d\": [509, 270, 531, 309], \"label\": \"chicory seed\"},\n {\"box_2d\": [555, 184, 587, 218], \"label\": \"chicory seed\"},\n {\"box_2d\": [594, 173, 629, 203], \"label\": \"chicory seed\"},\n {\"box_2d\": [600, 198, 634, 231], \"label\": \"chicory seed\"},\n {\"box_2d\": [640, 196, 675, 231], \"label\": \"chicory seed\"},\n {\"box_2d\": [566, 265, 606, 291], \"label\": \"chicory seed\"},\n {\"box_2d\": [633, 274, 675, 296], \"label\": \"chicory seed\"},\n {\"box_2d\": [482, 317, 509, 359], \"label\": \"chicory seed\"},\n {\"box_2d\": [509, 310, 531, 349], \"label\": \"chicory seed\"},\n {\"box_2d\": [526, 312, 559, 350], \"label\": \"chicory seed\"},\n {\"box_2d\": [504, 345, 543, 375], \"label\": \"chicory seed\"},\n {\"box_2d\": [402, 377, 443, 403], \"label\": \"chicory seed\"},\n {\"box_2d\": [406, 410, 431, 444], \"label\": \"chicory seed\"},\n {\"box_2d\": [420, 398, 452, 433], \"label\": \"chicory seed\"},\n {\"box_2d\": [436, 390, 467, 430], \"label\": \"chicory seed\"},\n {\"box_2d\": [443, 356, 462, 400], \"label\": \"chicory seed\"},\n {\"box_2d\": [462, 343, 482, 386], \"label\": \"chicory seed\"},\n {\"box_2d\": [386, 441, 415, 479], \"label\": \"chicory seed\"},\n {\"box_2d\": [421, 430, 459, 461], \"label\": \"chicory seed\"},\n {\"box_2d\": [430, 447, 466, 478], \"label\": \"chicory seed\"},\n {\"box_2d\": [400, 460, 430, 499], \"label\": \"chicory seed\"},\n {\"box_2d\": [390, 479, 422, 513], \"label\": \"chicory seed\"},\n {\"box_2d\": [379, 495, 401, 536], \"label\": \"chicory seed\"},\n {\"box_2d\": [428, 478, 451, 520], \"label\": \"chicory seed\"},\n {\"box_2d\": [455, 468, 476, 510], \"label\": \"chicory seed\"},\n {\"box_2d\": [466, 399, 506, 420], \"label\": \"chicory seed\"},\n {\"box_2d\": [477, 419, 515, 449], \"label\": \"chicory seed\"},\n {\"box_2d\": [486, 388, 525, 410], \"label\": \"chicory seed\"},\n {\"box_2d\": [518, 372, 549, 406], \"label\": \"chicory seed\"},\n {\"box_2d\": [515, 404, 541, 443], \"label\": \"chicory seed\"},\n {\"box_2d\": [525, 419, 553, 460], \"label\": \"chicory seed\"},\n {\"box_2d\": [549, 424, 571, 467], \"label\": \"chicory seed\"},\n {\"box_2d\": [555, 380, 582, 421], \"label\": \"chicory seed\"},\n {\"box_2d\": [568, 390, 597, 432], \"label\": \"chicory seed\"},\n {\"box_2d\": [579, 348, 605, 389], \"label\": \"chicory seed\"},\n {\"box_2d\": [580, 306, 603, 350], \"label\": \"chicory seed\"},\n {\"box_2d\": [601, 332, 631, 370], \"label\": \"chicory seed\"},\n {\"box_2d\": [585, 405, 623, 435], \"label\": \"chicory seed\"},\n {\"box_2d\": [574, 437, 593, 480], \"label\": \"chicory seed\"},\n {\"box_2d\": [467, 452, 506, 484], \"label\": \"chicory seed\"},\n {\"box_2d\": [482, 479, 523, 502], \"label\": \"chicory seed\"},\n {\"box_2d\": [474, 499, 516, 523], \"label\": \"chicory seed\"},\n {\"box_2d\": [495, 509, 535, 537], \"label\": \"chicory seed\"},\n {\"box_2d\": [529, 484, 569, 509], \"label\": \"chicory seed\"},\n {\"box_2d\": [372, 552, 399, 593], \"label\": \"chicory seed\"},\n {\"box_2d\": [387, 525, 421, 561], \"label\": \"chicory seed\"},\n {\"box_2d\": [387, 549, 423, 582], \"label\": \"chicory seed\"},\n {\"box_2d\": [406, 515, 437, 555], \"label\": \"chicory seed\"},\n {\"box_2d\": [419, 503, 449, 544], \"label\": \"chicory seed\"},\n {\"box_2d\": [445, 516, 476, 551], \"label\": \"chicory seed\"},\n {\"box_2d\": [421, 555, 449, 594], \"label\": \"chicory seed\"},\n {\"box_2d\": [440, 543, 468, 581], \"label\": \"chicory seed\"},\n {\"box_2d\": [458, 546, 496, 578], \"label\": \"chicory seed\"},\n {\"box_2d\": [477, 524, 505, 563], \"label\": \"chicory seed\"},\n {\"box_2d\": [504, 534, 526, 577], \"label\": \"chicory seed\"},\n {\"box_2d\": [495, 559, 523, 598], \"label\": \"chicory seed\"},\n {\"box_2d\": [372, 594, 413, 614], \"label\": \"chicory seed\"},\n {\"box_2d\": [399, 578, 437, 605], \"label\": \"chicory seed\"},\n {\"box_2d\": [380, 610, 420, 634], \"label\": \"chicory seed\"},\n {\"box_2d\": [394, 625, 429, 653], \"label\": \"chicory seed\"},\n {\"box_2d\": [402, 636, 434, 672], \"label\": \"chicory seed\"},\n {\"box_2d\": [423, 606, 449, 648], \"label\": \"chicory seed\"},\n {\"box_2d\": [441, 606, 471, 644], \"label\": \"chicory seed\"},\n {\"box_2d\": [445, 586, 476, 624], \"label\": \"chicory seed\"},\n {\"box_2d\": [461, 576, 488, 616], \"label\": \"chicory seed\"},\n {\"box_2d\": [480, 578, 515, 615], \"label\": \"chicory seed\"},\n {\"box_2d\": [484, 612, 523, 637], \"label\": \"chicory seed\"},\n {\"box_2d\": [472, 623, 501, 656], \"label\": \"chicory seed\"},\n {\"box_2d\": [515, 595, 533, 632], \"label\": \"chicory seed\"},\n {\"box_2d\": [387, 661, 417, 695], \"label\": \"chicory seed\"},\n {\"box_2d\": [416, 647, 443, 686], \"label\": \"chicory seed\"},\n {\"box_2d\": [442, 649, 462, 691], \"label\": \"chicory seed\"},\n {\"box_2d\": [461, 642, 482, 682], \"label\": \"chicory seed\"},\n {\"box_2d\": [413, 690, 452, 712], \"label\": \"chicory seed\"},\n {\"box_2d\": [411, 712, 451, 733], \"label\": \"chicory seed\"},\n {\"box_2d\": [395, 735, 434, 767], \"label\": \"chicory seed\"},\n {\"box_2d\": [398, 774, 434, 808], \"label\": \"chicory seed\"},\n {\"box_2d\": [425, 754, 458, 779], \"label\": \"chicory seed\"},\n {\"box_2d\": [429, 780, 464, 813], \"label\": \"chicory seed\"},\n {\"box_2d\": [455, 688, 493, 717], \"label\": \"chicory seed\"},\n {\"box_2d\": [453, 726, 476, 767], \"label\": \"chicory seed\"},\n {\"box_2d\": [466, 752, 492, 792], \"label\": \"chicory seed\"},\n {\"box_2d\": [480, 725, 511, 763], \"label\": \"chicory seed\"},\n {\"box_2d\": [478, 796, 505, 833], \"label\": \"chicory seed\"},\n {\"box_2d\": [491, 804, 526, 841], \"label\": \"chicory seed\"},\n {\"box_2d\": [500, 781, 536, 803], \"label\": \"chicory seed\"},\n {\"box_2d\": [480, 654, 515, 675], \"label\": \"chicory seed\"},\n {\"box_2d\": [497, 659, 530, 689], \"label\": \"chicory seed\"},\n {\"box_2d\": [509, 636, 541, 668], \"label\": \"chicory seed\"},\n {\"box_2d\": [488, 683, 525, 713], \"label\": \"chicory seed\"},\n {\"box_2d\": [506, 705, 535, 743], \"label\": \"chicory seed\"},\n {\"box_2d\": [515, 741, 546, 776], \"label\": \"chicory seed\"},\n {\"box_2d\": [521, 669, 559, 689], \"label\": \"chicory seed\"},\n {\"box_2d\": [526, 689, 546, 732], \"label\": \"chicory seed\"},\n {\"box_2d\": [545, 694, 565, 736], \"label\": \"chicory seed\"},\n {\"box_2d\": [536, 740, 574, 769], \"label\": \"chicory seed\"},\n {\"box_2d\": [543, 772, 585, 792], \"label\": \"chicory seed\"},\n {\"box_2d\": [556, 679, 592, 708], \"label\": \"chicory seed\"},\n {\"box_2d\": [570, 695, 608, 726], \"label\": \"chicory seed\"},\n {\"box_2d\": [561, 730, 599, 750], \"label\": \"chicory seed\"},\n {\"box_2d\": [576, 749, 616, 769], \"label\": \"chicory seed\"},\n {\"box_2d\": [541, 512, 574, 543], \"label\": \"chicory seed\"},\n {\"box_2d\": [558, 497, 597, 519], \"label\": \"chicory seed\"},\n {\"box_2d\": [580, 474, 622, 495], \"label\": \"chicory seed\"},\n {\"box_2d\": [574, 520, 595, 557], \"label\": \"chicory seed\"},\n {\"box_2d\": [592, 524, 616, 565], \"label\": \"chicory seed\"},\n {\"box_2d\": [619, 521, 640, 563], \"label\": \"chicory seed\"},\n {\"box_2d\": [555, 553, 595, 575], \"label\": \"chicory seed\"},\n {\"box_2d\": [529, 571, 566, 592], \"label\": \"chicory seed\"},\n {\"box_2d\": [535, 589, 576, 611], \"label\": \"chicory seed\"},\n {\"box_2d\": [572, 567, 609, 598], \"label\": \"chicory seed\"},\n {\"box_2d\": [537, 608, 556, 645], \"label\": \"chicory seed\"},\n {\"box_2d\": [555, 611, 592, 644], \"label\": \"chicory seed\"},\n {\"box_2d\": [556, 636, 594, 669], \"label\": \"chicory seed\"},\n {\"box_2d\": [576, 602, 607, 637], \"label\": \"chicory seed\"},\n {\"box_2d\": [588, 635, 620, 670], \"label\": \"chicory seed\"},\n {\"box_2d\": [599, 580, 629, 619], \"label\": \"chicory seed\"},\n {\"box_2d\": [614, 562, 653, 583], \"label\": \"chicory seed\"},\n {\"box_2d\": [609, 605, 646, 639], \"label\": \"chicory seed\"},\n {\"box_2d\": [619, 635, 639, 678], \"label\": \"chicory seed\"},\n {\"box_2d\": [613, 681, 632, 727], \"label\": \"chicory seed\"},\n {\"box_2d\": [632, 674, 654, 715], \"label\": \"chicory seed\"},\n {\"box_2d\": [618, 735, 640, 774], \"label\": \"chicory seed\"},\n {\"box_2d\": [639, 709, 660, 752], \"label\": \"chicory seed\"},\n {\"box_2d\": [663, 718, 694, 756], \"label\": \"chicory seed\"},\n {\"box_2d\": [608, 491, 649, 512], \"label\": \"chicory seed\"},\n {\"box_2d\": [623, 459, 659, 489], \"label\": \"chicory seed\"},\n {\"box_2d\": [653, 545, 673, 587], \"label\": \"chicory seed\"},\n {\"box_2d\": [630, 416, 657, 455], \"label\": \"chicory seed\"},\n {\"box_2d\": [650, 407, 671, 449], \"label\": \"chicory seed\"},\n {\"box_2d\": [646, 370, 676, 409], \"label\": \"chicory seed\"},\n {\"box_2d\": [657, 452, 689, 488], \"label\": \"chicory seed\"},\n {\"box_2d\": [662, 486, 703, 509], \"label\": \"chicory seed\"},\n {\"box_2d\": [687, 463, 729, 485], \"label\": \"chicory seed\"},\n {\"box_2d\": [671, 414, 709, 443], \"label\": \"chicory seed\"},\n {\"box_2d\": [675, 388, 709, 411], \"label\": \"chicory seed\"},\n {\"box_2d\": [679, 345, 704, 386], \"label\": \"chicory seed\"},\n {\"box_2d\": [684, 329, 721, 353], \"label\": \"chicory seed\"},\n {\"box_2d\": [709, 278, 746, 310], \"label\": \"chicory seed\"},\n {\"box_2d\": [709, 406, 745, 441], \"label\": \"chicory seed\"},\n {\"box_2d\": [725, 443, 752, 482], \"label\": \"chicory seed\"},\n {\"box_2d\": [749, 411, 769, 454], \"label\": \"chicory seed\"},\n {\"box_2d\": [769, 356, 790, 396], \"label\": \"chicory seed\"},\n {\"box_2d\": [769, 396, 799, 433], \"label\": \"chicory seed\"},\n {\"box_2d\": [765, 454, 803, 475], \"label\": \"chicory seed\"},\n {\"box_2d\": [678, 533, 714, 568], \"label\": \"chicory seed\"},\n {\"box_2d\": [685, 555, 718, 593], \"label\": \"chicory seed\"},\n {\"box_2d\": [699, 567, 736, 601], \"label\": \"chicory seed\"},\n {\"box_2d\": [708, 584, 743, 619], \"label\": \"chicory seed\"},\n {\"box_2d\": [724, 500, 763, 521], \"label\": \"chicory seed\"},\n {\"box_2d\": [731, 520, 755, 561], \"label\": \"chicory seed\"},\n {\"box_2d\": [754, 511, 790, 545], \"label\": \"chicory seed\"},\n {\"box_2d\": [742, 553, 779, 584], \"label\": \"chicory seed\"},\n {\"box_2d\": [691, 639, 714, 680], \"label\": \"chicory seed\"},\n {\"box_2d\": [685, 681, 717, 718], \"label\": \"chicory seed\"},\n {\"box_2d\": [704, 661, 742, 692], \"label\": \"chicory seed\"},\n {\"box_2d\": [714, 642, 754, 662], \"label\": \"chicory seed\"},\n {\"box_2d\": [741, 602, 766, 647], \"label\": \"chicory seed\"},\n {\"box_2d\": [760, 602, 785, 642], \"label\": \"chicory seed\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 18422, "elapsed_seconds": 148.49408333410975, "metadata": {"match_method": "map", "num_predictions": 302, "num_ground_truth": 303, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3366336524486542, "attempts": 1, "retries": 0, "total_seconds": 148.6163}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 120, "image": "Screenshot-2024-05-16-144630_png.rf.ac24f71a7370686a36ea1f2bec910257.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [8, 120, 28, 139], \"label\": \"bullet hole\"},\n {\"box_2d\": [76, 126, 95, 146], \"label\": \"bullet hole\"},\n {\"box_2d\": [167, 137, 189, 159], \"label\": \"bullet hole\"},\n {\"box_2d\": [224, 143, 248, 165], \"label\": \"bullet hole\"},\n {\"box_2d\": [52, 341, 71, 365], \"label\": \"bullet hole\"},\n {\"box_2d\": [114, 340, 136, 364], \"label\": \"bullet hole\"},\n {\"box_2d\": [178, 339, 200, 363], \"label\": \"bullet hole\"},\n {\"box_2d\": [99, 565, 122, 585], \"label\": \"bullet hole\"},\n {\"box_2d\": [213, 507, 236, 530], \"label\": \"bullet hole\"},\n {\"box_2d\": [257, 610, 278, 633], \"label\": \"bullet hole\"},\n {\"box_2d\": [224, 670, 249, 695], \"label\": \"bullet hole\"},\n {\"box_2d\": [66, 809, 89, 832], \"label\": \"bullet hole\"},\n {\"box_2d\": [138, 793, 163, 818], \"label\": \"bullet hole\"},\n {\"box_2d\": [226, 847, 247, 870], \"label\": \"bullet hole\"},\n {\"box_2d\": [320, 668, 340, 694], \"label\": \"bullet hole\"},\n {\"box_2d\": [331, 834, 357, 859], \"label\": \"bullet hole\"},\n {\"box_2d\": [389, 829, 417, 851], \"label\": \"bullet hole\"},\n {\"box_2d\": [313, 560, 335, 582], \"label\": \"bullet hole\"},\n {\"box_2d\": [360, 608, 383, 631], \"label\": \"bullet hole\"},\n {\"box_2d\": [350, 273, 376, 297], \"label\": \"bullet hole\"},\n {\"box_2d\": [424, 217, 447, 243], \"label\": \"bullet hole\"},\n {\"box_2d\": [475, 156, 491, 173], \"label\": \"bullet hole\"},\n {\"box_2d\": [570, 93, 595, 116], \"label\": \"bullet hole\"},\n {\"box_2d\": [632, 34, 648, 55], \"label\": \"bullet hole\"},\n {\"box_2d\": [568, 270, 591, 293], \"label\": \"bullet hole\"},\n {\"box_2d\": [612, 247, 633, 271], \"label\": \"bullet hole\"},\n {\"box_2d\": [581, 363, 604, 386], \"label\": \"bullet hole\"},\n {\"box_2d\": [529, 463, 554, 488], \"label\": \"bullet hole\"},\n {\"box_2d\": [586, 611, 610, 632], \"label\": \"bullet hole\"},\n {\"box_2d\": [686, 608, 710, 632], \"label\": \"bullet hole\"},\n {\"box_2d\": [684, 452, 709, 476], \"label\": \"bullet hole\"},\n {\"box_2d\": [720, 354, 744, 382], \"label\": \"bullet hole\"},\n {\"box_2d\": [743, 173, 765, 193], \"label\": \"bullet hole\"},\n {\"box_2d\": [745, 258, 764, 285], \"label\": \"bullet hole\"},\n {\"box_2d\": [796, 236, 820, 256], \"label\": \"bullet hole\"},\n {\"box_2d\": [781, 341, 805, 363], \"label\": \"bullet hole\"},\n {\"box_2d\": [854, 321, 879, 343], \"label\": \"bullet hole\"},\n {\"box_2d\": [929, 169, 949, 188], \"label\": \"bullet hole\"},\n {\"box_2d\": [812, 517, 835, 540], \"label\": \"bullet hole\"},\n {\"box_2d\": [880, 456, 906, 480], \"label\": \"bullet hole\"},\n {\"box_2d\": [935, 537, 956, 561], \"label\": \"bullet hole\"},\n {\"box_2d\": [861, 607, 882, 634], \"label\": \"bullet hole\"},\n {\"box_2d\": [891, 780, 914, 804], \"label\": \"bullet hole\"},\n {\"box_2d\": [895, 887, 919, 909], \"label\": \"bullet hole\"}\n]\n```", "correct": false, "input_tokens": 1222, "output_tokens": 2907, "elapsed_seconds": 25.748149874969386, "metadata": {"match_method": "map", "num_predictions": 44, "num_ground_truth": 44, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5287728905677795, "attempts": 1, "retries": 0, "total_seconds": 25.7752}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 121, "image": "GP010255_JPG_jpg.rf.a9c124de642391662cf0875377214d1e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [66, 520, 167, 780], \"label\": \"carrot\"},\n {\"box_2d\": [122, 511, 200, 770], \"label\": \"carrot\"},\n {\"box_2d\": [94, 345, 245, 558], \"label\": \"carrot\"},\n {\"box_2d\": [138, 281, 288, 417], \"label\": \"carrot\"},\n {\"box_2d\": [212, 316, 342, 392], \"label\": \"carrot\"},\n {\"box_2d\": [177, 378, 300, 620], \"label\": \"carrot\"},\n {\"box_2d\": [184, 594, 344, 777], \"label\": \"carrot\"},\n {\"box_2d\": [309, 645, 462, 789], \"label\": \"carrot\"},\n {\"box_2d\": [270, 427, 416, 616], \"label\": \"carrot\"},\n {\"box_2d\": [241, 342, 434, 439], \"label\": \"carrot\"},\n {\"box_2d\": [314, 305, 492, 367], \"label\": \"carrot\"},\n {\"box_2d\": [438, 330, 483, 519], \"label\": \"carrot\"},\n {\"box_2d\": [381, 514, 636, 573], \"label\": \"carrot\"},\n {\"box_2d\": [441, 277, 709, 344], \"label\": \"carrot\"},\n {\"box_2d\": [461, 377, 622, 472], \"label\": \"carrot\"},\n {\"box_2d\": [495, 367, 703, 459], \"label\": \"carrot\"},\n {\"box_2d\": [517, 466, 720, 520], \"label\": \"carrot\"},\n {\"box_2d\": [573, 491, 764, 588], \"label\": \"carrot\"},\n {\"box_2d\": [489, 555, 731, 634], \"label\": \"carrot\"},\n {\"box_2d\": [461, 627, 675, 689], \"label\": \"carrot\"},\n {\"box_2d\": [459, 684, 694, 762], \"label\": \"carrot\"},\n {\"box_2d\": [666, 633, 814, 794], \"label\": \"carrot\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 1704, "elapsed_seconds": 17.13418245804496, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 17.1604}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 122, "image": "20210325_203749_jpg.rf.1705fa1e1420cef9584e0f51c930586c.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [200, 134, 405, 348], \"label\": \"50 euro cent coin\"},\n {\"box_2d\": [134, 425, 327, 620], \"label\": \"1 euro coin\"},\n {\"box_2d\": [158, 683, 322, 852], \"label\": \"10 euro cent coin\"},\n {\"box_2d\": [369, 480, 505, 620], \"label\": \"1 euro cent coin\"},\n {\"box_2d\": [439, 227, 603, 394], \"label\": \"2 euro cent coin\"},\n {\"box_2d\": [384, 750, 564, 933], \"label\": \"5 euro cent coin\"},\n {\"box_2d\": [612, 417, 805, 609], \"label\": \"20 euro cent coin\"},\n {\"box_2d\": [611, 634, 834, 858], \"label\": \"2 euro coin\"}\n]\n```", "correct": true, "input_tokens": 1272, "output_tokens": 997, "elapsed_seconds": 10.614092958974652, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 10.6267}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 123, "image": "53_jpeg_jpg.rf.827706d6e6ec3d14c5952c8d4c752e99.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [90, 378, 206, 491], \"label\": \"potato\"},\n {\"box_2d\": [125, 955, 250, 1000], \"label\": \"potato\"},\n {\"box_2d\": [313, 847, 428, 952], \"label\": \"potato\"},\n {\"box_2d\": [489, 573, 620, 689], \"label\": \"potato\"},\n {\"box_2d\": [519, 699, 623, 801], \"label\": \"potato\"},\n {\"box_2d\": [514, 845, 622, 949], \"label\": \"potato\"},\n {\"box_2d\": [710, 66, 798, 195], \"label\": \"potato\"},\n {\"box_2d\": [714, 415, 859, 500], \"label\": \"potato\"},\n {\"box_2d\": [720, 625, 822, 718], \"label\": \"potato\"},\n {\"box_2d\": [717, 889, 804, 971], \"label\": \"potato\"},\n {\"box_2d\": [919, 13, 1000, 111], \"label\": \"potato\"},\n {\"box_2d\": [923, 437, 1000, 528], \"label\": \"potato\"},\n {\"box_2d\": [921, 675, 1000, 771], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1240, "output_tokens": 1277, "elapsed_seconds": 12.085862166015431, "metadata": {"match_method": "map", "num_predictions": 13, "num_ground_truth": 13, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 12.1207}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 124, "image": "car-part-detection_Car-damages-1749_png_jpg.rf.841bd72a48ea0726dc55d3cf93207af1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [434, 74, 549, 129], \"label\": \"tail light\"},\n {\"box_2d\": [540, 58, 728, 177], \"label\": \"back bumper\"},\n {\"box_2d\": [279, 199, 721, 467], \"label\": \"back door\"},\n {\"box_2d\": [284, 206, 443, 435], \"label\": \"back window\"},\n {\"box_2d\": [279, 444, 721, 740], \"label\": \"front door\"},\n {\"box_2d\": [286, 452, 460, 683], \"label\": \"front window\"},\n {\"box_2d\": [406, 673, 471, 712], \"label\": \"mirror\"},\n {\"box_2d\": [401, 732, 479, 935], \"label\": \"hood\"},\n {\"box_2d\": [567, 895, 714, 987], \"label\": \"front bumper\"}\n]\n```", "correct": false, "input_tokens": 1246, "output_tokens": 1595, "elapsed_seconds": 17.118838792084716, "metadata": {"match_method": "map", "num_predictions": 9, "num_ground_truth": 13, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6254124641418457, "attempts": 1, "retries": 0, "total_seconds": 17.146}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 125, "image": "1704196661687_jpg.rf.15374227e4fbd79145880dc340991d51.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [77, 452, 173, 520], \"label\": \"bean grain\"},\n {\"box_2d\": [112, 583, 197, 676], \"label\": \"bean grain\"},\n {\"box_2d\": [191, 816, 271, 910], \"label\": \"bean grain\"},\n {\"box_2d\": [217, 535, 299, 642], \"label\": \"bean grain\"},\n {\"box_2d\": [188, 304, 297, 379], \"label\": \"bean grain\"},\n {\"box_2d\": [201, 142, 285, 212], \"label\": \"bean grain\"},\n {\"box_2d\": [374, 135, 446, 239], \"label\": \"bean grain\"},\n {\"box_2d\": [454, 381, 539, 480], \"label\": \"bean grain\"},\n {\"box_2d\": [387, 717, 493, 796], \"label\": \"bean grain\"},\n {\"box_2d\": [539, 859, 612, 964], \"label\": \"bean grain\"},\n {\"box_2d\": [638, 764, 702, 862], \"label\": \"bean grain\"},\n {\"box_2d\": [549, 563, 626, 666], \"label\": \"bean grain\"},\n {\"box_2d\": [646, 403, 714, 501], \"label\": \"bean grain\"},\n {\"box_2d\": [610, 158, 692, 267], \"label\": \"bean grain\"},\n {\"box_2d\": [802, 344, 891, 439], \"label\": \"bean grain\"},\n {\"box_2d\": [754, 558, 842, 650], \"label\": \"bean grain\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 1927, "elapsed_seconds": 17.500653958995827, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 17.5142}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 126, "image": "fall-detection_13_mp4-274_jpg.rf.81d37af519564fd17e00cbdde20bedcf.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [386, 473, 434, 541], \"label\": \"fallen person\"},\n {\"box_2d\": [384, 527, 448, 630], \"label\": \"fallen person\"},\n {\"box_2d\": [425, 591, 472, 728], \"label\": \"fallen person\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 694, "elapsed_seconds": 8.878825208055787, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 8.8898}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 127, "image": "tile_672_jpg.rf.563bc07bfb63272303ba7c8beec3dfd0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [22, 441, 80, 471], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [219, 712, 261, 737], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [332, 829, 355, 850], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [373, 332, 396, 366], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [434, 682, 471, 705], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [470, 828, 521, 864], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [514, 366, 540, 389], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [602, 690, 628, 707], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [608, 425, 628, 449], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [689, 824, 735, 859], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [876, 848, 921, 875], \"label\": \"ship in SAR satellite image\"}\n]\n```", "correct": true, "input_tokens": 1229, "output_tokens": 1861, "elapsed_seconds": 19.07760945800692, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8091809153556824, "attempts": 1, "retries": 0, "total_seconds": 19.1076}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 128, "image": "Screenshot-2024-05-16-150353_png.rf.28f931ef1556f4fbfc5b8964a85b5e08.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [23, 39, 53, 67], \"label\": \"bullet hole\"},\n {\"box_2d\": [58, 152, 95, 183], \"label\": \"bullet hole\"},\n {\"box_2d\": [107, 80, 141, 112], \"label\": \"bullet hole\"},\n {\"box_2d\": [69, 336, 102, 367], \"label\": \"bullet hole\"},\n {\"box_2d\": [28, 415, 60, 447], \"label\": \"bullet hole\"},\n {\"box_2d\": [205, 13, 243, 45], \"label\": \"bullet hole\"},\n {\"box_2d\": [202, 160, 240, 195], \"label\": \"bullet hole\"},\n {\"box_2d\": [252, 284, 286, 319], \"label\": \"bullet hole\"},\n {\"box_2d\": [194, 376, 228, 408], \"label\": \"bullet hole\"},\n {\"box_2d\": [180, 468, 213, 501], \"label\": \"bullet hole\"},\n {\"box_2d\": [300, 68, 335, 103], \"label\": \"bullet hole\"},\n {\"box_2d\": [325, 224, 358, 255], \"label\": \"bullet hole\"},\n {\"box_2d\": [375, 2, 408, 36], \"label\": \"bullet hole\"},\n {\"box_2d\": [431, 82, 463, 115], \"label\": \"bullet hole\"},\n {\"box_2d\": [387, 254, 421, 287], \"label\": \"bullet hole\"},\n {\"box_2d\": [461, 301, 493, 333], \"label\": \"bullet hole\"},\n {\"box_2d\": [509, 58, 540, 91], \"label\": \"bullet hole\"},\n {\"box_2d\": [81, 598, 113, 629], \"label\": \"bullet hole\"},\n {\"box_2d\": [112, 764, 144, 796], \"label\": \"bullet hole\"},\n {\"box_2d\": [124, 895, 156, 926], \"label\": \"bullet hole\"},\n {\"box_2d\": [76, 985, 109, 1000], \"label\": \"bullet hole\"},\n {\"box_2d\": [339, 764, 370, 795], \"label\": \"bullet hole\"},\n {\"box_2d\": [431, 619, 461, 654], \"label\": \"bullet hole\"},\n {\"box_2d\": [398, 986, 431, 1000], \"label\": \"bullet hole\"},\n {\"box_2d\": [550, 798, 581, 830], \"label\": \"bullet hole\"},\n {\"box_2d\": [586, 673, 621, 704], \"label\": \"bullet hole\"},\n {\"box_2d\": [735, 646, 767, 677], \"label\": \"bullet hole\"},\n {\"box_2d\": [796, 760, 826, 790], \"label\": \"bullet hole\"},\n {\"box_2d\": [709, 150, 744, 182], \"label\": \"bullet hole\"},\n {\"box_2d\": [711, 315, 740, 347], \"label\": \"bullet hole\"},\n {\"box_2d\": [812, 109, 845, 139], \"label\": \"bullet hole\"},\n {\"box_2d\": [826, 183, 859, 214], \"label\": \"bullet hole\"},\n {\"box_2d\": [810, 321, 841, 353], \"label\": \"bullet hole\"},\n {\"box_2d\": [918, 175, 949, 206], \"label\": \"bullet hole\"}\n]\n```", "correct": false, "input_tokens": 1222, "output_tokens": 2973, "elapsed_seconds": 24.724477625102736, "metadata": {"match_method": "map", "num_predictions": 34, "num_ground_truth": 34, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.4679880738258362, "attempts": 1, "retries": 0, "total_seconds": 24.7377}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 129, "image": "9999942_00000_d_0000179_jpg.rf.00eabf74c1cd10c40aa228a466f9fe04.jpg", "expected": "", "predicted": "[\n {\"box_2d\": [345, 0, 394, 24], \"label\": \"car\"},\n {\"box_2d\": [358, 17, 412, 60], \"label\": \"car\"},\n {\"box_2d\": [361, 56, 416, 100], \"label\": \"car\"},\n {\"box_2d\": [335, 138, 390, 170], \"label\": \"van\"},\n {\"box_2d\": [331, 188, 381, 223], \"label\": \"car\"},\n {\"box_2d\": [334, 251, 369, 299], \"label\": \"car\"},\n {\"box_2d\": [299, 276, 330, 326], \"label\": \"car\"},\n {\"box_2d\": [298, 378, 330, 424], \"label\": \"car\"},\n {\"box_2d\": [376, 372, 408, 421], \"label\": \"car\"},\n {\"box_2d\": [434, 355, 469, 409], \"label\": \"car\"},\n {\"box_2d\": [466, 346, 504, 400], \"label\": \"car\"},\n {\"box_2d\": [611, 131, 661, 200], \"label\": \"car\"},\n {\"box_2d\": [651, 112, 707, 179], \"label\": \"car\"},\n {\"box_2d\": [721, 257, 745, 273], \"label\": \"person\"},\n {\"box_2d\": [82, 394, 102, 423], \"label\": \"car\"},\n {\"box_2d\": [40, 763, 100, 785], \"label\": \"bus\"},\n {\"box_2d\": [176, 833, 272, 876], \"label\": \"bus\"},\n {\"box_2d\": [306, 680, 343, 719], \"label\": \"car\"},\n {\"box_2d\": [326, 970, 364, 996], \"label\": \"car\"},\n {\"box_2d\": [114, 976, 148, 1000], \"label\": \"van\"},\n {\"box_2d\": [75, 936, 128, 967], \"label\": \"truck\"},\n {\"box_2d\": [47, 913, 68, 929], \"label\": \"car\"}\n]", "correct": false, "input_tokens": 1217, "output_tokens": 1837, "elapsed_seconds": 17.59885737497825, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 36, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.36388251185417175, "attempts": 1, "retries": 0, "total_seconds": 17.6739}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 130, "image": "125_jpg.rf.c69f3d1b75a33297315d1889af6311e9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [505, 149, 631, 187], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [345, 267, 393, 307], \"label\": \"resistor symbol\"},\n {\"box_2d\": [530, 372, 686, 395], \"label\": \"resistor symbol\"},\n {\"box_2d\": [340, 463, 390, 507], \"label\": \"resistor symbol\"},\n {\"box_2d\": [545, 634, 724, 656], \"label\": \"resistor symbol\"},\n {\"box_2d\": [356, 721, 405, 773], \"label\": \"resistor symbol\"},\n {\"box_2d\": [139, 734, 249, 783], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [516, 840, 646, 860], \"label\": \"resistor symbol\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 963, "elapsed_seconds": 8.318136207992211, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 8.3233}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 131, "image": "IMG_20250815_164311_jpg.rf.83efd32a603d001fd15e3979d744bb04.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [550, 184, 616, 260], \"label\": \"barcode\"},\n {\"box_2d\": [625, 694, 697, 771], \"label\": \"barcode\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 561, "elapsed_seconds": 10.155615750001743, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 10.4909}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 132, "image": "Container-259_jpg.rf.0707fcc208504e8c70d360815ec87ed2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [236, 582, 293, 730], \"label\": \"shipping container number\"},\n {\"box_2d\": [291, 580, 320, 637], \"label\": \"container ISO type code\"}\n]\n```", "correct": true, "input_tokens": 1232, "output_tokens": 435, "elapsed_seconds": 6.127293250057846, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 6.138}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 133, "image": "1704195139360_jpg.rf.325f2c91dbc2bf8869d0a95b29652b2f.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [119, 736, 159, 783], \"label\": \"lentil grain\"},\n {\"box_2d\": [205, 436, 248, 483], \"label\": \"lentil grain\"},\n {\"box_2d\": [303, 822, 339, 867], \"label\": \"lentil grain\"},\n {\"box_2d\": [309, 750, 347, 791], \"label\": \"lentil grain\"},\n {\"box_2d\": [336, 564, 372, 606], \"label\": \"lentil grain\"},\n {\"box_2d\": [411, 253, 453, 297], \"label\": \"lentil grain\"},\n {\"box_2d\": [470, 614, 509, 653], \"label\": \"lentil grain\"},\n {\"box_2d\": [533, 861, 575, 908], \"label\": \"lentil grain\"},\n {\"box_2d\": [555, 431, 592, 475], \"label\": \"lentil grain\"},\n {\"box_2d\": [614, 616, 655, 659], \"label\": \"lentil grain\"},\n {\"box_2d\": [630, 534, 672, 578], \"label\": \"lentil grain\"},\n {\"box_2d\": [750, 742, 792, 794], \"label\": \"lentil grain\"},\n {\"box_2d\": [797, 434, 836, 480], \"label\": \"lentil grain\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 1283, "elapsed_seconds": 12.77992041700054, "metadata": {"match_method": "map", "num_predictions": 13, "num_ground_truth": 13, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 12.7908}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 134, "image": "IMG_20250815_165037_jpg.rf.d4afcf541c2eaa2a500b0fc3e74f380a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [121, 265, 212, 312], \"label\": \"barcode\"},\n {\"box_2d\": [301, 427, 342, 471], \"label\": \"barcode\"},\n {\"box_2d\": [272, 566, 310, 608], \"label\": \"barcode\"},\n {\"box_2d\": [280, 843, 360, 882], \"label\": \"barcode\"},\n {\"box_2d\": [795, 220, 889, 268], \"label\": \"barcode\"},\n {\"box_2d\": [809, 429, 898, 474], \"label\": \"barcode\"},\n {\"box_2d\": [804, 665, 890, 707], \"label\": \"barcode\"},\n {\"box_2d\": [760, 823, 799, 860], \"label\": \"barcode\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 1106, "elapsed_seconds": 15.402338583022356, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 15.6934}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 135, "image": "frame_0213_jpg.rf.a492e6ad2bcd535fad151a853f122d53.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [75, 127, 138, 167], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [86, 253, 148, 291], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [172, 232, 234, 273], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [164, 349, 228, 386], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [49, 411, 111, 450], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [189, 455, 245, 489], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [272, 442, 334, 476], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [106, 554, 168, 587], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [63, 619, 119, 652], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [212, 547, 270, 581], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [283, 544, 340, 580], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [427, 233, 495, 273], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [421, 466, 483, 505], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [419, 547, 484, 583], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [535, 365, 611, 405], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [623, 362, 696, 405], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [633, 241, 706, 282], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [739, 349, 825, 394], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [709, 451, 789, 493], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [834, 470, 913, 512], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [557, 562, 628, 605], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [576, 603, 622, 632], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [678, 556, 747, 610], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [544, 670, 610, 708], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 173, 41, 212], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 224, 41, 258], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 256, 42, 287], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 290, 44, 326], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [3, 418, 53, 454], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 522, 47, 553], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [10, 548, 52, 577], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [6, 583, 53, 614], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [19, 623, 63, 655], \"label\": \"garlic on conveyor\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 3736, "elapsed_seconds": 37.765152666019276, "metadata": {"match_method": "map", "num_predictions": 33, "num_ground_truth": 23, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9962871074676514, "attempts": 1, "retries": 0, "total_seconds": 37.8584}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 136, "image": "1668147836__jpg.rf.c1a720811dddd913a56ced8dd87e3a53.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [52, 362, 109, 389], \"label\": \"three die\"},\n {\"box_2d\": [47, 714, 106, 745], \"label\": \"five die\"},\n {\"box_2d\": [244, 142, 308, 177], \"label\": \"two die\"},\n {\"box_2d\": [245, 179, 299, 208], \"label\": \"one die\"},\n {\"box_2d\": [275, 284, 329, 311], \"label\": \"four die\"},\n {\"box_2d\": [232, 410, 287, 437], \"label\": \"two die\"},\n {\"box_2d\": [260, 565, 324, 599], \"label\": \"five die\"},\n {\"box_2d\": [214, 742, 273, 773], \"label\": \"three die\"},\n {\"box_2d\": [340, 480, 396, 509], \"label\": \"six die\"},\n {\"box_2d\": [314, 527, 377, 560], \"label\": \"five die\"},\n {\"box_2d\": [344, 565, 397, 592], \"label\": \"three die\"},\n {\"box_2d\": [398, 569, 457, 601], \"label\": \"one die\"},\n {\"box_2d\": [468, 568, 523, 597], \"label\": \"three die\"},\n {\"box_2d\": [373, 657, 425, 685], \"label\": \"one die\"},\n {\"box_2d\": [340, 731, 405, 767], \"label\": \"four die\"},\n {\"box_2d\": [429, 798, 485, 830], \"label\": \"six die\"},\n {\"box_2d\": [434, 827, 495, 860], \"label\": \"three die\"},\n {\"box_2d\": [546, 847, 607, 882], \"label\": \"one die\"},\n {\"box_2d\": [559, 902, 621, 937], \"label\": \"two die\"},\n {\"box_2d\": [403, 351, 454, 377], \"label\": \"four die\"},\n {\"box_2d\": [428, 380, 486, 411], \"label\": \"four die\"},\n {\"box_2d\": [461, 315, 524, 349], \"label\": \"four die\"},\n {\"box_2d\": [495, 148, 553, 181], \"label\": \"five die\"},\n {\"box_2d\": [524, 274, 580, 304], \"label\": \"five die\"},\n {\"box_2d\": [568, 283, 626, 315], \"label\": \"five die\"},\n {\"box_2d\": [583, 350, 636, 378], \"label\": \"three die\"},\n {\"box_2d\": [533, 458, 595, 491], \"label\": \"four die\"},\n {\"box_2d\": [604, 568, 658, 597], \"label\": \"four die\"},\n {\"box_2d\": [537, 628, 590, 656], \"label\": \"four die\"},\n {\"box_2d\": [618, 139, 679, 174], \"label\": \"five die\"},\n {\"box_2d\": [647, 191, 704, 223], \"label\": \"four die\"},\n {\"box_2d\": [660, 274, 714, 306], \"label\": \"four die\"},\n {\"box_2d\": [711, 277, 761, 304], \"label\": \"six die\"},\n {\"box_2d\": [758, 271, 809, 301], \"label\": \"four die\"},\n {\"box_2d\": [733, 244, 787, 274], \"label\": \"three die\"},\n {\"box_2d\": [725, 211, 787, 245], \"label\": \"four die\"},\n {\"box_2d\": [759, 183, 821, 218], \"label\": \"three die\"},\n {\"box_2d\": [811, 241, 871, 274], \"label\": \"six die\"},\n {\"box_2d\": [785, 300, 840, 330], \"label\": \"five die\"},\n {\"box_2d\": [634, 436, 696, 471], \"label\": \"four die\"},\n {\"box_2d\": [734, 463, 793, 495], \"label\": \"four die\"},\n {\"box_2d\": [696, 509, 749, 537], \"label\": \"six die\"},\n {\"box_2d\": [894, 405, 956, 439], \"label\": \"one die\"},\n {\"box_2d\": [643, 761, 694, 789], \"label\": \"six die\"},\n {\"box_2d\": [750, 717, 811, 753], \"label\": \"three die\"},\n {\"box_2d\": [756, 792, 814, 826], \"label\": \"six die\"},\n {\"box_2d\": [723, 825, 780, 857], \"label\": \"four die\"},\n {\"box_2d\": [800, 824, 853, 854], \"label\": \"two die\"},\n {\"box_2d\": [805, 909, 860, 942], \"label\": \"two die\"},\n {\"box_2d\": [913, 777, 961, 806], \"label\": \"two die\"}\n]\n```", "correct": false, "input_tokens": 1252, "output_tokens": 4400, "elapsed_seconds": 41.46665241708979, "metadata": {"match_method": "map", "num_predictions": 50, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7513025999069214, "attempts": 1, "retries": 0, "total_seconds": 41.5142}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 137, "image": "Lego_170_high_jpeg.rf.173b945a080a292465fe84cab83086af.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [114, 96, 215, 206], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [196, 86, 282, 184], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [193, 152, 270, 254], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [252, 155, 315, 266], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [84, 239, 154, 344], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [150, 306, 206, 393], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [363, 35, 444, 137], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [393, 102, 479, 198], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [331, 296, 377, 400], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [227, 498, 330, 599], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [260, 574, 344, 651], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [395, 376, 491, 427], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [380, 427, 452, 526], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [472, 391, 557, 480], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [473, 463, 566, 545], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [520, 256, 592, 362], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [546, 346, 624, 459], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [590, 320, 667, 429], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [618, 415, 689, 500], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [635, 102, 696, 196], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [645, 217, 744, 290], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [651, 254, 725, 342], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [696, 281, 764, 384], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [716, 423, 801, 499], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [696, 474, 756, 578], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [748, 498, 847, 566], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [116, 735, 174, 833], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [118, 878, 163, 974], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [175, 814, 268, 918], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [335, 753, 409, 838], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [407, 769, 487, 832], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [484, 709, 581, 769], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [537, 756, 640, 825], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [584, 928, 666, 991], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [711, 700, 797, 780], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [669, 780, 766, 835], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [670, 825, 741, 905], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [734, 827, 811, 891], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [702, 896, 786, 962], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [805, 813, 885, 898], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [849, 796, 930, 882], \"label\": \"lego 3x2 brick\"}\n]\n```", "correct": true, "input_tokens": 1244, "output_tokens": 4044, "elapsed_seconds": 30.864033332909457, "metadata": {"match_method": "map", "num_predictions": 41, "num_ground_truth": 42, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9801980257034302, "attempts": 1, "retries": 0, "total_seconds": 30.9393}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 138, "image": "DJI_0290_JPG_jpg.rf.052c45a410708d5965bfee1fe9dd1918.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [482, 370, 589, 483], \"label\": \"excavator\"},\n {\"box_2d\": [319, 195, 369, 250], \"label\": \"excavator\"},\n {\"box_2d\": [288, 417, 361, 488], \"label\": \"concrete mixer\"},\n {\"box_2d\": [133, 217, 176, 254], \"label\": \"concrete mixer\"},\n {\"box_2d\": [199, 302, 249, 348], \"label\": \"dump truck\"},\n {\"box_2d\": [56, 0, 1000, 165], \"label\": \"tower crane\"}\n]\n```", "correct": true, "input_tokens": 1209, "output_tokens": 1004, "elapsed_seconds": 26.273361457977444, "metadata": {"match_method": "map", "num_predictions": 6, "num_ground_truth": 6, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 27.1191}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 139, "image": "oil-tank-detection_oiltank_165_jpg.rf.7a5e38aa38fc11f1234038d454ec044d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [578, 12, 709, 122], \"label\": \"oil tank\"},\n {\"box_2d\": [576, 128, 708, 238], \"label\": \"oil tank\"},\n {\"box_2d\": [572, 245, 705, 355], \"label\": \"oil tank\"},\n {\"box_2d\": [556, 360, 700, 482], \"label\": \"oil tank\"},\n {\"box_2d\": [551, 489, 697, 608], \"label\": \"oil tank\"},\n {\"box_2d\": [546, 616, 694, 738], \"label\": \"oil tank\"},\n {\"box_2d\": [541, 744, 689, 867], \"label\": \"oil tank\"},\n {\"box_2d\": [719, 12, 853, 121], \"label\": \"oil tank\"},\n {\"box_2d\": [717, 129, 849, 240], \"label\": \"oil tank\"},\n {\"box_2d\": [713, 247, 846, 356], \"label\": \"oil tank\"},\n {\"box_2d\": [712, 361, 860, 486], \"label\": \"oil tank\"},\n {\"box_2d\": [708, 492, 857, 614], \"label\": \"oil tank\"},\n {\"box_2d\": [704, 621, 853, 745], \"label\": \"oil tank\"},\n {\"box_2d\": [699, 750, 848, 875], \"label\": \"oil tank\"}\n]\n```", "correct": true, "input_tokens": 1217, "output_tokens": 1137, "elapsed_seconds": 9.980800708057359, "metadata": {"match_method": "map", "num_predictions": 14, "num_ground_truth": 14, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 10.0332}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 140, "image": "img268_png.rf.77932c9124f7e63f288e2be4179d983b.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [30, 388, 110, 458], \"label\": \"and gate symbol\"},\n {\"box_2d\": [78, 252, 111, 298], \"label\": \"not gate symbol\"},\n {\"box_2d\": [79, 545, 160, 617], \"label\": \"and gate symbol\"},\n {\"box_2d\": [153, 410, 186, 456], \"label\": \"not gate symbol\"},\n {\"box_2d\": [154, 702, 234, 775], \"label\": \"or gate symbol\"},\n {\"box_2d\": [228, 545, 308, 617], \"label\": \"and gate symbol\"},\n {\"box_2d\": [276, 410, 310, 456], \"label\": \"not gate symbol\"},\n {\"box_2d\": [277, 860, 358, 932], \"label\": \"or gate symbol\"},\n {\"box_2d\": [351, 545, 431, 617], \"label\": \"and gate symbol\"},\n {\"box_2d\": [401, 704, 480, 777], \"label\": \"and gate symbol\"},\n {\"box_2d\": [473, 569, 507, 616], \"label\": \"not gate symbol\"},\n {\"box_2d\": [547, 252, 581, 298], \"label\": \"not gate symbol\"},\n {\"box_2d\": [548, 388, 628, 458], \"label\": \"and gate symbol\"},\n {\"box_2d\": [597, 545, 678, 617], \"label\": \"and gate symbol\"},\n {\"box_2d\": [622, 252, 655, 298], \"label\": \"not gate symbol\"},\n {\"box_2d\": [648, 702, 728, 775], \"label\": \"or gate symbol\"},\n {\"box_2d\": [720, 410, 754, 456], \"label\": \"not gate symbol\"},\n {\"box_2d\": [722, 545, 801, 617], \"label\": \"and gate symbol\"},\n {\"box_2d\": [746, 860, 827, 932], \"label\": \"or gate symbol\"},\n {\"box_2d\": [844, 410, 878, 456], \"label\": \"not gate symbol\"},\n {\"box_2d\": [844, 545, 926, 617], \"label\": \"and gate symbol\"},\n {\"box_2d\": [869, 704, 949, 777], \"label\": \"and gate symbol\"}\n]\n```", "correct": true, "input_tokens": 1231, "output_tokens": 2181, "elapsed_seconds": 17.7842536669923, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 17.7953}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 141, "image": "170211-2-h_JPG_jpg.rf.4b0d2b71f289bdb00cd0502c7a7a2a5d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [248, 463, 928, 567], \"label\": \"insulator flashover\"}\n]\n```", "correct": false, "input_tokens": 1218, "output_tokens": 502, "elapsed_seconds": 14.323618000023998, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 14.792}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 142, "image": "floorplan-windows-doors_10361_png.rf.0282a156e3e18e32c9b31eca83a8df92.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [90, 121, 154, 199], \"label\": \"door\"},\n {\"box_2d\": [187, 174, 286, 199], \"label\": \"window\"},\n {\"box_2d\": [312, 174, 411, 199], \"label\": \"window\"},\n {\"box_2d\": [436, 174, 535, 199], \"label\": \"window\"},\n {\"box_2d\": [636, 174, 735, 199], \"label\": \"window\"},\n {\"box_2d\": [867, 289, 890, 396], \"label\": \"window\"},\n {\"box_2d\": [869, 777, 892, 886], \"label\": \"window\"},\n {\"box_2d\": [869, 588, 941, 656], \"label\": \"door\"},\n {\"box_2d\": [727, 587, 791, 657], \"label\": \"door\"},\n {\"box_2d\": [612, 475, 670, 540], \"label\": \"door\"},\n {\"box_2d\": [548, 475, 606, 540], \"label\": \"door\"},\n {\"box_2d\": [545, 719, 603, 785], \"label\": \"door\"},\n {\"box_2d\": [482, 591, 539, 656], \"label\": \"door\"},\n {\"box_2d\": [356, 703, 413, 769], \"label\": \"door\"},\n {\"box_2d\": [287, 767, 344, 828], \"label\": \"door\"},\n {\"box_2d\": [151, 768, 206, 822], \"label\": \"door\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 2067, "elapsed_seconds": 18.6841847919859, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 18.7455}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 143, "image": "IMG_0588_jpeg.rf.ff3a785b0ac1ba5a56ab8eed6ca615a1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [36, 574, 96, 648], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [247, 549, 314, 629], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [238, 742, 317, 819], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [376, 481, 476, 532], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [440, 629, 513, 703], \"label\": \"caramel corn jelly bean\"},\n {\"box_2d\": [618, 553, 718, 603], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [628, 734, 736, 784], \"label\": \"mixed berry smoothie jelly bean\"}\n]\n```", "correct": true, "input_tokens": 1219, "output_tokens": 885, "elapsed_seconds": 11.52523987495806, "metadata": {"match_method": "map", "num_predictions": 7, "num_ground_truth": 7, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 11.5621}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 144, "image": "signatures_image_100_png_jpg.rf.1b732e075f2453b4400e76d3923fe526.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [321, 70, 396, 433], \"label\": \"signature\"},\n {\"box_2d\": [345, 526, 390, 895], \"label\": \"signature\"},\n {\"box_2d\": [463, 121, 543, 455], \"label\": \"signature\"},\n {\"box_2d\": [450, 555, 517, 822], \"label\": \"signature\"},\n {\"box_2d\": [585, 104, 641, 429], \"label\": \"signature\"}\n]\n```", "correct": true, "input_tokens": 1200, "output_tokens": 585, "elapsed_seconds": 6.543245250009932, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 6.5579}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 145, "image": "paper-parts_8548_70_jpg.rf.61a39e9181e5ebef57cae728c932b730.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [99, 200, 394, 825], \"label\": \"figure\"},\n {\"box_2d\": [400, 117, 431, 882], \"label\": \"figure caption\"},\n {\"box_2d\": [481, 117, 512, 882], \"label\": \"table caption\"},\n {\"box_2d\": [531, 108, 583, 891], \"label\": \"table\"},\n {\"box_2d\": [633, 117, 654, 312], \"label\": \"subsection\"},\n {\"box_2d\": [674, 117, 725, 882], \"label\": \"paragraph\"},\n {\"box_2d\": [742, 305, 759, 882], \"label\": \"equation\"},\n {\"box_2d\": [778, 117, 881, 882], \"label\": \"paragraph\"},\n {\"box_2d\": [900, 490, 913, 509], \"label\": \"page number\"}\n]\n```", "correct": true, "input_tokens": 1255, "output_tokens": 1021, "elapsed_seconds": 10.068914042087272, "metadata": {"match_method": "map", "num_predictions": 9, "num_ground_truth": 9, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8749998807907104, "attempts": 1, "retries": 0, "total_seconds": 10.1195}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 146, "image": "19_jpeg_jpg.rf.34c89435b5ff9122cacb0cab18a49f99.jpg", "expected": "", "predicted": "[{\"box_2d\": [34, 19, 127, 105], \"label\": \"potato\"}, {\"box_2d\": [7, 331, 97, 428], \"label\": \"potato\"}, {\"box_2d\": [21, 783, 134, 894], \"label\": \"potato\"}, {\"box_2d\": [222, 0, 314, 83], \"label\": \"potato\"}, {\"box_2d\": [184, 276, 297, 356], \"label\": \"potato\"}, {\"box_2d\": [189, 394, 293, 477], \"label\": \"potato\"}, {\"box_2d\": [196, 547, 307, 667], \"label\": \"potato\"}, {\"box_2d\": [217, 790, 321, 902], \"label\": \"potato\"}, {\"box_2d\": [404, 65, 497, 152], \"label\": \"potato\"}, {\"box_2d\": [404, 327, 506, 414], \"label\": \"potato\"}, {\"box_2d\": [396, 488, 513, 570], \"label\": \"potato\"}, {\"box_2d\": [395, 709, 526, 795], \"label\": \"potato\"}, {\"box_2d\": [353, 980, 501, 1000], \"label\": \"potato\"}, {\"box_2d\": [602, 57, 711, 176], \"label\": \"potato\"}, {\"box_2d\": [609, 780, 715, 865], \"label\": \"potato\"}, {\"box_2d\": [792, 34, 900, 143], \"label\": \"potato\"}, {\"box_2d\": [828, 485, 932, 581], \"label\": \"potato\"}, {\"box_2d\": [844, 933, 949, 1000], \"label\": \"potato\"}]", "correct": true, "input_tokens": 1240, "output_tokens": 1868, "elapsed_seconds": 17.577270374982618, "metadata": {"match_method": "map", "num_predictions": 18, "num_ground_truth": 18, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9251925349235535, "attempts": 1, "retries": 0, "total_seconds": 17.6143}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 147, "image": "f12_jpg.rf.fa104f4d104f326761c5485949eec7bb.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [317, 234, 614, 381], \"label\": \"wildfire\"},\n {\"box_2d\": [310, 595, 565, 795], \"label\": \"wildfire\"},\n {\"box_2d\": [715, 92, 940, 422], \"label\": \"wildfire\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 1056, "elapsed_seconds": 16.029680000036024, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 16.1241}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 148, "image": "f36_jpg.rf.8c77ed13627d4f4c8abf32c1c7573442.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 68, 594, 309], \"label\": \"wildfire\"},\n {\"box_2d\": [0, 653, 419, 836], \"label\": \"wildfire\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 1201, "elapsed_seconds": 21.10830454202369, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 21.1966}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 149, "image": "46_jpg.rf.ed53b85cf8112394121da4a88ce9efc4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [573, 149, 724, 215], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [526, 301, 648, 325], \"label\": \"resistor symbol\"},\n {\"box_2d\": [375, 376, 430, 439], \"label\": \"resistor symbol\"},\n {\"box_2d\": [172, 470, 304, 534], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [568, 464, 717, 522], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [380, 560, 441, 636], \"label\": \"resistor symbol\"},\n {\"box_2d\": [536, 668, 682, 694], \"label\": \"resistor symbol\"},\n {\"box_2d\": [604, 807, 730, 860], \"label\": \"dc current source symbol\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 1141, "elapsed_seconds": 10.554345833021216, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 10.6261}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 150, "image": "Lego_131_low_jpeg.rf.be14ef4b77b52f77c1ed45c59ee5b3a4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [187, 34, 286, 149], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [145, 146, 217, 253], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [125, 275, 210, 391], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [42, 438, 138, 550], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [64, 617, 152, 695], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [149, 622, 236, 694], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [0, 728, 69, 797], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [182, 930, 286, 987], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [247, 228, 336, 319], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [226, 311, 306, 424], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [274, 507, 353, 597], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [251, 651, 325, 747], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [373, 267, 466, 332], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [436, 280, 538, 357], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [514, 159, 599, 262], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [517, 331, 597, 405], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [450, 526, 494, 629], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [352, 686, 449, 746], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [373, 730, 476, 809], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [442, 801, 541, 891], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [467, 746, 570, 833], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [534, 818, 600, 898], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [457, 945, 546, 1000], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [596, 369, 661, 458], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [658, 343, 718, 449], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [636, 190, 704, 297], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [698, 171, 766, 278], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [714, 386, 793, 469], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [681, 438, 766, 526], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [813, 261, 906, 373], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [789, 424, 866, 515], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [745, 595, 832, 679], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [812, 729, 881, 825], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [754, 787, 860, 883], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [687, 916, 786, 999], \"label\": \"lego 4x1 brick\"}\n]\n```", "correct": true, "input_tokens": 1244, "output_tokens": 3296, "elapsed_seconds": 25.185287041938864, "metadata": {"match_method": "map", "num_predictions": 35, "num_ground_truth": 35, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9007131457328796, "attempts": 1, "retries": 0, "total_seconds": 25.2437}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 151, "image": "IMG_6677_jpeg_jpg.rf.66bd4292eb85ae8da61a8cef3e3384f8.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [374, 30, 459, 246], \"label\": \"green poker chip\"},\n {\"box_2d\": [401, 48, 476, 255], \"label\": \"green poker chip\"},\n {\"box_2d\": [421, 51, 495, 259], \"label\": \"green poker chip\"},\n {\"box_2d\": [454, 51, 508, 253], \"label\": \"green poker chip\"},\n {\"box_2d\": [472, 51, 526, 253], \"label\": \"green poker chip\"},\n {\"box_2d\": [484, 52, 540, 253], \"label\": \"green poker chip\"},\n {\"box_2d\": [501, 52, 557, 253], \"label\": \"green poker chip\"},\n {\"box_2d\": [517, 52, 576, 253], \"label\": \"green poker chip\"},\n {\"box_2d\": [534, 54, 591, 252], \"label\": \"green poker chip\"},\n {\"box_2d\": [544, 51, 610, 249], \"label\": \"green poker chip\"},\n {\"box_2d\": [369, 290, 456, 489], \"label\": \"orange poker chip\"},\n {\"box_2d\": [420, 294, 474, 490], \"label\": \"orange poker chip\"},\n {\"box_2d\": [435, 295, 491, 490], \"label\": \"orange poker chip\"},\n {\"box_2d\": [454, 295, 509, 489], \"label\": \"orange poker chip\"},\n {\"box_2d\": [473, 295, 526, 489], \"label\": \"orange poker chip\"},\n {\"box_2d\": [491, 294, 545, 484], \"label\": \"orange poker chip\"},\n {\"box_2d\": [505, 295, 562, 484], \"label\": \"orange poker chip\"},\n {\"box_2d\": [521, 297, 578, 483], \"label\": \"orange poker chip\"},\n {\"box_2d\": [529, 300, 588, 485], \"label\": \"orange poker chip\"},\n {\"box_2d\": [532, 315, 608, 491], \"label\": \"orange poker chip\"},\n {\"box_2d\": [460, 530, 559, 718], \"label\": \"orange poker chip\"},\n {\"box_2d\": [501, 522, 581, 711], \"label\": \"orange poker chip\"},\n {\"box_2d\": [532, 520, 614, 715], \"label\": \"orange poker chip\"},\n {\"box_2d\": [449, 706, 541, 902], \"label\": \"green poker chip\"},\n {\"box_2d\": [501, 716, 580, 922], \"label\": \"green poker chip\"},\n {\"box_2d\": [525, 725, 603, 933], \"label\": \"green poker chip\"}\n]\n```", "correct": true, "input_tokens": 1231, "output_tokens": 3778, "elapsed_seconds": 27.053448125021532, "metadata": {"match_method": "map", "num_predictions": 26, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 27.0772}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 152, "image": "indir-1-_jpeg_jpg.rf.8d614705afcf35f2ac222aa7d9e608ff.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [428, 154, 515, 290], \"label\": \"dimension annotation\"},\n {\"box_2d\": [446, 628, 502, 728], \"label\": \"dimension annotation\"},\n {\"box_2d\": [563, 157, 646, 307], \"label\": \"dimension annotation\"},\n {\"box_2d\": [611, 655, 659, 750], \"label\": \"dimension annotation\"},\n {\"box_2d\": [681, 339, 699, 532], \"label\": \"dimension annotation\"},\n {\"box_2d\": [760, 139, 799, 189], \"label\": \"dimension annotation\"},\n {\"box_2d\": [749, 196, 795, 273], \"label\": \"dimension annotation\"},\n {\"box_2d\": [766, 611, 786, 675], \"label\": \"dimension annotation\"},\n {\"box_2d\": [775, 700, 816, 725], \"label\": \"dimension annotation\"},\n {\"box_2d\": [796, 735, 825, 760], \"label\": \"dimension annotation\"},\n {\"box_2d\": [726, 735, 757, 760], \"label\": \"dimension annotation\"},\n {\"box_2d\": [726, 783, 825, 808], \"label\": \"dimension annotation\"},\n {\"box_2d\": [849, 317, 867, 429], \"label\": \"dimension annotation\"},\n {\"box_2d\": [849, 628, 868, 754], \"label\": \"dimension annotation\"},\n {\"box_2d\": [914, 208, 984, 977], \"label\": \"technical drawing table\"}\n]\n```", "correct": false, "input_tokens": 1233, "output_tokens": 2436, "elapsed_seconds": 22.82274920900818, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.514851450920105, "attempts": 1, "retries": 0, "total_seconds": 22.8333}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 153, "image": "1217_4_jpg.rf.834d702ab7cd425111d5c60612f66627.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [9, 36, 108, 130], \"label\": \"black rook\"},\n {\"box_2d\": [26, 132, 120, 240], \"label\": \"black knight\"},\n {\"box_2d\": [16, 284, 118, 374], \"label\": \"black bishop\"},\n {\"box_2d\": [0, 404, 122, 493], \"label\": \"black king\"},\n {\"box_2d\": [0, 526, 121, 613], \"label\": \"black queen\"},\n {\"box_2d\": [24, 654, 129, 744], \"label\": \"black bishop\"},\n {\"box_2d\": [5, 769, 114, 880], \"label\": \"black knight\"},\n {\"box_2d\": [14, 898, 116, 999], \"label\": \"black rook\"},\n {\"box_2d\": [161, 35, 235, 113], \"label\": \"black pawn\"},\n {\"box_2d\": [162, 180, 236, 253], \"label\": \"black pawn\"},\n {\"box_2d\": [158, 284, 232, 357], \"label\": \"black pawn\"},\n {\"box_2d\": [172, 412, 245, 483], \"label\": \"black pawn\"},\n {\"box_2d\": [169, 544, 242, 617], \"label\": \"black pawn\"},\n {\"box_2d\": [165, 651, 239, 723], \"label\": \"black pawn\"},\n {\"box_2d\": [161, 762, 235, 838], \"label\": \"black pawn\"},\n {\"box_2d\": [150, 890, 224, 974], \"label\": \"black pawn\"},\n {\"box_2d\": [772, 16, 845, 96], \"label\": \"white pawn\"},\n {\"box_2d\": [772, 157, 846, 231], \"label\": \"white pawn\"},\n {\"box_2d\": [765, 276, 839, 351], \"label\": \"white pawn\"},\n {\"box_2d\": [769, 396, 844, 469], \"label\": \"white pawn\"},\n {\"box_2d\": [758, 497, 833, 571], \"label\": \"white pawn\"},\n {\"box_2d\": [772, 651, 847, 725], \"label\": \"white pawn\"},\n {\"box_2d\": [756, 772, 831, 849], \"label\": \"white pawn\"},\n {\"box_2d\": [754, 876, 829, 958], \"label\": \"white pawn\"},\n {\"box_2d\": [880, 12, 980, 108], \"label\": \"white rook\"},\n {\"box_2d\": [889, 123, 987, 233], \"label\": \"white knight\"},\n {\"box_2d\": [886, 275, 991, 366], \"label\": \"white bishop\"},\n {\"box_2d\": [872, 387, 996, 479], \"label\": \"white king\"},\n {\"box_2d\": [878, 514, 998, 603], \"label\": \"white queen\"},\n {\"box_2d\": [875, 634, 976, 726], \"label\": \"white bishop\"},\n {\"box_2d\": [890, 762, 984, 868], \"label\": \"white knight\"},\n {\"box_2d\": [876, 886, 976, 991], \"label\": \"white rook\"}\n]\n```", "correct": true, "input_tokens": 1259, "output_tokens": 2554, "elapsed_seconds": 22.0841955000069, "metadata": {"match_method": "map", "num_predictions": 32, "num_ground_truth": 32, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 22.2729}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 154, "image": "123_jpg.rf.dd57cefde1b1d657a6704903a0c29594.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [174, 321, 198, 378], \"label\": \"resistor symbol\"},\n {\"box_2d\": [164, 622, 190, 686], \"label\": \"resistor symbol\"},\n {\"box_2d\": [274, 208, 348, 244], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [267, 441, 336, 475], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [231, 806, 321, 848], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [457, 325, 486, 376], \"label\": \"resistor symbol\"},\n {\"box_2d\": [448, 656, 479, 703], \"label\": \"resistor symbol\"},\n {\"box_2d\": [612, 214, 681, 237], \"label\": \"resistor symbol\"},\n {\"box_2d\": [640, 448, 719, 494], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [595, 833, 660, 851], \"label\": \"resistor symbol\"},\n {\"box_2d\": [819, 313, 902, 359], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [829, 621, 857, 678], \"label\": \"resistor symbol\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 1478, "elapsed_seconds": 13.21707729191985, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 13.225}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 155, "image": "Container_799_jpg.rf.18c1df3db98a6063d7285fb7c0ffd780.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [148, 307, 566, 330], \"label\": \"shipping container number\"},\n {\"box_2d\": [137, 352, 287, 367], \"label\": \"container ISO type code\"},\n {\"box_2d\": [225, 803, 264, 945], \"label\": \"shipping container number\"},\n {\"box_2d\": [271, 863, 305, 904], \"label\": \"container ISO type code\"}\n]\n```", "correct": true, "input_tokens": 1232, "output_tokens": 857, "elapsed_seconds": 8.905009208014235, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 8.923}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 156, "image": "08fd33_0_1_png_jpg.rf.49b1ec7a3f580266e0267dce06883980.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [463, 149, 505, 159], \"label\": \"goalkeeper\"},\n {\"box_2d\": [416, 250, 452, 260], \"label\": \"player\"},\n {\"box_2d\": [607, 339, 618, 346], \"label\": \"football\"},\n {\"box_2d\": [342, 438, 372, 448], \"label\": \"player\"},\n {\"box_2d\": [377, 489, 411, 498], \"label\": \"referee\"},\n {\"box_2d\": [399, 509, 433, 518], \"label\": \"player\"},\n {\"box_2d\": [374, 533, 405, 541], \"label\": \"player\"},\n {\"box_2d\": [443, 491, 480, 503], \"label\": \"player\"},\n {\"box_2d\": [481, 432, 526, 443], \"label\": \"player\"},\n {\"box_2d\": [526, 408, 562, 421], \"label\": \"player\"},\n {\"box_2d\": [613, 430, 664, 441], \"label\": \"player\"},\n {\"box_2d\": [354, 628, 386, 636], \"label\": \"player\"},\n {\"box_2d\": [372, 631, 402, 640], \"label\": \"player\"},\n {\"box_2d\": [400, 606, 435, 616], \"label\": \"player\"},\n {\"box_2d\": [418, 624, 453, 635], \"label\": \"player\"},\n {\"box_2d\": [389, 661, 422, 670], \"label\": \"player\"},\n {\"box_2d\": [419, 647, 456, 657], \"label\": \"player\"},\n {\"box_2d\": [451, 617, 491, 626], \"label\": \"player\"},\n {\"box_2d\": [504, 627, 545, 637], \"label\": \"player\"},\n {\"box_2d\": [465, 706, 510, 720], \"label\": \"player\"},\n {\"box_2d\": [602, 680, 653, 693], \"label\": \"player\"},\n {\"box_2d\": [573, 774, 612, 786], \"label\": \"player\"},\n {\"box_2d\": [630, 838, 681, 851], \"label\": \"player\"},\n {\"box_2d\": [645, 825, 703, 842], \"label\": \"referee\"},\n {\"box_2d\": [405, 906, 444, 918], \"label\": \"goalkeeper\"}\n]\n```", "correct": true, "input_tokens": 1242, "output_tokens": 1997, "elapsed_seconds": 21.06493699993007, "metadata": {"match_method": "map", "num_predictions": 25, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9158415794372559, "attempts": 1, "retries": 0, "total_seconds": 21.1605}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 157, "image": "Lego_122_low_jpeg.rf.ea0402c215977271fc16971fe6cad37a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [77, 193, 155, 311], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [138, 365, 245, 444], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [189, 465, 286, 574], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [213, 591, 314, 650], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [100, 652, 211, 748], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [59, 777, 154, 862], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [95, 833, 198, 936], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [378, 56, 460, 161], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [340, 182, 437, 260], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [266, 315, 355, 408], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [347, 320, 444, 384], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [338, 472, 443, 554], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [507, 134, 598, 253], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [373, 681, 461, 766], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [333, 747, 438, 829], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [326, 937, 427, 1000], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [784, 187, 871, 286], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [627, 402, 710, 480], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [710, 391, 815, 482], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [709, 451, 797, 537], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [749, 549, 828, 608], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [551, 537, 640, 626], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [553, 627, 627, 713], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [608, 688, 690, 742], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [636, 740, 709, 843], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [691, 780, 786, 851], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [679, 826, 766, 932], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [600, 913, 675, 965], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [778, 873, 862, 934], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [762, 945, 858, 1000], \"label\": \"lego 4x1 brick\"}\n]\n```", "correct": true, "input_tokens": 1244, "output_tokens": 5275, "elapsed_seconds": 47.17173583304975, "metadata": {"match_method": "map", "num_predictions": 30, "num_ground_truth": 30, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 47.2276}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 158, "image": "20230220_110126_jpg.rf.9dd19de1f35f973245770a80a67f5a86.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [470, 38, 494, 123], \"label\": \"crack\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 262, "elapsed_seconds": 8.287189707974903, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 8.3025}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 159, "image": "20230224_102553_jpg.rf.405f8900643fe92cf5dde61e03ca7cd9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [599, 818, 680, 902], \"label\": \"crack\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 293, "elapsed_seconds": 5.4761616659816355, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 5.4991}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 160, "image": "40_jpg.rf.9c5565949caf7c10eef3c765c461dcc3.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [37, 165, 359, 217], \"label\": \"blood sample tube\"},\n {\"box_2d\": [206, 167, 517, 267], \"label\": \"blood sample tube\"},\n {\"box_2d\": [386, 155, 695, 278], \"label\": \"blood sample tube\"},\n {\"box_2d\": [153, 257, 465, 336], \"label\": \"blood sample tube\"},\n {\"box_2d\": [38, 316, 156, 546], \"label\": \"blood sample tube\"},\n {\"box_2d\": [27, 502, 92, 744], \"label\": \"blood sample tube\"},\n {\"box_2d\": [82, 592, 156, 843], \"label\": \"blood sample tube\"},\n {\"box_2d\": [142, 476, 466, 535], \"label\": \"blood sample tube\"},\n {\"box_2d\": [138, 532, 444, 665], \"label\": \"blood sample tube\"},\n {\"box_2d\": [195, 583, 430, 789], \"label\": \"blood sample tube\"},\n {\"box_2d\": [394, 372, 570, 597], \"label\": \"blood sample tube\"},\n {\"box_2d\": [70, 837, 400, 898], \"label\": \"blood sample tube\"},\n {\"box_2d\": [144, 882, 472, 940], \"label\": \"blood sample tube\"},\n {\"box_2d\": [264, 766, 558, 926], \"label\": \"blood sample tube\"},\n {\"box_2d\": [384, 553, 500, 799], \"label\": \"blood sample tube\"},\n {\"box_2d\": [427, 592, 549, 838], \"label\": \"blood sample tube\"},\n {\"box_2d\": [512, 687, 650, 942], \"label\": \"blood sample tube\"},\n {\"box_2d\": [560, 663, 709, 912], \"label\": \"blood sample tube\"},\n {\"box_2d\": [597, 616, 738, 860], \"label\": \"blood sample tube\"},\n {\"box_2d\": [612, 480, 731, 730], \"label\": \"blood sample tube\"},\n {\"box_2d\": [672, 492, 741, 737], \"label\": \"blood sample tube\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 2556, "elapsed_seconds": 21.450612415908836, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 21, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 21.4717}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 161, "image": "car-part-detection_Car-damages-765_png_jpg.rf.98f80e9f33638af692acb0b18adddcfd.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [130, 311, 344, 677], \"label\": \"windshield\"},\n {\"box_2d\": [253, 395, 553, 909], \"label\": \"hood\"},\n {\"box_2d\": [507, 505, 628, 740], \"label\": \"headlight\"},\n {\"box_2d\": [298, 209, 356, 326], \"label\": \"mirror\"},\n {\"box_2d\": [144, 212, 323, 319], \"label\": \"front window\"},\n {\"box_2d\": [140, 132, 286, 219], \"label\": \"back window\"},\n {\"box_2d\": [288, 196, 614, 333], \"label\": \"front door\"},\n {\"box_2d\": [251, 114, 512, 219], \"label\": \"back door\"},\n {\"box_2d\": [537, 514, 895, 933], \"label\": \"front bumper\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 1357, "elapsed_seconds": 18.482326500001363, "metadata": {"match_method": "map", "num_predictions": 9, "num_ground_truth": 13, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7281727194786072, "attempts": 1, "retries": 0, "total_seconds": 18.4984}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 162, "image": "frame_0089_jpg.rf.c7cd5f3b9d3ee6d5f30b8357b148d8d4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [236, 325, 281, 352], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [248, 381, 294, 409], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [257, 441, 304, 469], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [279, 502, 325, 530], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [336, 312, 384, 339], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [350, 370, 400, 399], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [360, 430, 411, 460], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [381, 492, 433, 521], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [443, 305, 493, 332], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [461, 364, 512, 393], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [472, 424, 524, 454], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [495, 487, 548, 517], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [917, 291, 968, 317], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [929, 352, 981, 380], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [940, 415, 994, 443], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [948, 480, 999, 509], \"label\": \"soda bottle cap\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 1824, "elapsed_seconds": 30.183967333985493, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 30.5641}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 163, "image": "IMG_5103_JPG.rf.05aa0caa3f6431dd232e7223cc79a35a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [608, 271, 654, 297], \"label\": \"face\"},\n {\"box_2d\": [644, 323, 689, 349], \"label\": \"face\"},\n {\"box_2d\": [696, 400, 747, 427], \"label\": \"face\"},\n {\"box_2d\": [358, 354, 383, 366], \"label\": \"face\"},\n {\"box_2d\": [362, 386, 387, 398], \"label\": \"face\"},\n {\"box_2d\": [369, 404, 396, 417], \"label\": \"face\"},\n {\"box_2d\": [318, 404, 339, 416], \"label\": \"face\"},\n {\"box_2d\": [285, 420, 306, 430], \"label\": \"face\"},\n {\"box_2d\": [289, 441, 310, 452], \"label\": \"face\"},\n {\"box_2d\": [329, 471, 350, 483], \"label\": \"face\"},\n {\"box_2d\": [330, 502, 352, 513], \"label\": \"face\"},\n {\"box_2d\": [316, 536, 339, 548], \"label\": \"face\"},\n {\"box_2d\": [297, 552, 318, 563], \"label\": \"face\"},\n {\"box_2d\": [421, 541, 447, 554], \"label\": \"face\"},\n {\"box_2d\": [427, 576, 454, 590], \"label\": \"face\"},\n {\"box_2d\": [440, 620, 469, 634], \"label\": \"face\"},\n {\"box_2d\": [392, 560, 418, 573], \"label\": \"face\"},\n {\"box_2d\": [397, 606, 422, 619], \"label\": \"face\"},\n {\"box_2d\": [419, 647, 446, 660], \"label\": \"face\"},\n {\"box_2d\": [427, 688, 454, 701], \"label\": \"face\"},\n {\"box_2d\": [436, 715, 462, 728], \"label\": \"face\"},\n {\"box_2d\": [460, 772, 486, 785], \"label\": \"face\"},\n {\"box_2d\": [374, 603, 396, 615], \"label\": \"face\"},\n {\"box_2d\": [375, 627, 397, 639], \"label\": \"face\"},\n {\"box_2d\": [383, 667, 407, 679], \"label\": \"face\"},\n {\"box_2d\": [365, 680, 388, 691], \"label\": \"face\"},\n {\"box_2d\": [371, 714, 393, 726], \"label\": \"face\"},\n {\"box_2d\": [345, 618, 367, 630], \"label\": \"face\"},\n {\"box_2d\": [346, 653, 366, 664], \"label\": \"face\"},\n {\"box_2d\": [326, 663, 348, 674], \"label\": \"face\"},\n {\"box_2d\": [334, 698, 356, 709], \"label\": \"face\"},\n {\"box_2d\": [334, 756, 355, 767], \"label\": \"face\"},\n {\"box_2d\": [342, 766, 364, 777], \"label\": \"face\"},\n {\"box_2d\": [301, 609, 322, 620], \"label\": \"face\"},\n {\"box_2d\": [303, 636, 323, 646], \"label\": \"face\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 3373, "elapsed_seconds": 33.61620874993969, "metadata": {"match_method": "map", "num_predictions": 35, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5853381156921387, "attempts": 1, "retries": 0, "total_seconds": 33.9453}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 164, "image": "fall-detection_camerathree-second_mp4-114_jpg.rf.8d4ab219233d1b243e3602fc397d1bfa.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [578, 356, 667, 586], \"label\": \"fallen person\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 360, "elapsed_seconds": 7.9242689170641825, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 7.9352}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 165, "image": "lot301_JPEG_jpg.rf.190ac2533508d09b091e542956d526a5.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [164, 424, 198, 459], \"label\": \"chicory seed\"},\n {\"box_2d\": [169, 581, 205, 620], \"label\": \"chicory seed\"},\n {\"box_2d\": [182, 344, 210, 385], \"label\": \"chicory seed\"},\n {\"box_2d\": [184, 466, 208, 510], \"label\": \"chicory seed\"},\n {\"box_2d\": [186, 440, 220, 479], \"label\": \"chicory seed\"},\n {\"box_2d\": [193, 369, 237, 396], \"label\": \"chicory seed\"},\n {\"box_2d\": [193, 496, 222, 537], \"label\": \"chicory seed\"},\n {\"box_2d\": [197, 619, 221, 661], 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\"chicory seed\"},\n {\"box_2d\": [645, 291, 690, 319], \"label\": \"chicory seed\"},\n {\"box_2d\": [654, 640, 685, 680], \"label\": \"chicory seed\"},\n {\"box_2d\": [654, 769, 681, 813], \"label\": \"chicory seed\"},\n {\"box_2d\": [655, 195, 690, 236], \"label\": \"chicory seed\"},\n {\"box_2d\": [657, 515, 690, 557], \"label\": \"chicory seed\"},\n {\"box_2d\": [657, 555, 694, 594], \"label\": \"chicory seed\"},\n {\"box_2d\": [658, 251, 702, 281], \"label\": \"chicory seed\"},\n {\"box_2d\": [661, 352, 697, 391], \"label\": \"chicory seed\"},\n {\"box_2d\": [661, 747, 702, 773], \"label\": \"chicory seed\"},\n {\"box_2d\": [662, 267, 704, 296], \"label\": \"chicory seed\"},\n {\"box_2d\": [663, 586, 707, 615], \"label\": \"chicory seed\"},\n {\"box_2d\": [666, 614, 691, 661], \"label\": \"chicory seed\"},\n {\"box_2d\": [667, 207, 698, 254], \"label\": \"chicory seed\"},\n {\"box_2d\": [668, 686, 704, 724], \"label\": \"chicory seed\"},\n {\"box_2d\": [670, 455, 696, 500], \"label\": \"chicory seed\"},\n {\"box_2d\": [674, 326, 704, 367], \"label\": \"chicory seed\"},\n {\"box_2d\": [674, 406, 698, 450], \"label\": \"chicory seed\"},\n {\"box_2d\": [682, 648, 717, 688], \"label\": \"chicory seed\"},\n {\"box_2d\": [683, 368, 720, 409], \"label\": \"chicory seed\"},\n {\"box_2d\": [687, 290, 729, 317], \"label\": \"chicory seed\"},\n {\"box_2d\": [687, 593, 720, 637], \"label\": \"chicory seed\"},\n {\"box_2d\": [692, 566, 729, 597], \"label\": \"chicory seed\"},\n {\"box_2d\": [693, 211, 718, 254], \"label\": \"chicory seed\"},\n {\"box_2d\": [693, 315, 735, 350], \"label\": \"chicory seed\"},\n {\"box_2d\": [693, 464, 727, 507], \"label\": \"chicory seed\"},\n {\"box_2d\": [693, 715, 730, 752], \"label\": \"chicory seed\"},\n {\"box_2d\": [696, 434, 736, 467], \"label\": \"chicory seed\"},\n {\"box_2d\": [698, 744, 722, 787], \"label\": \"chicory seed\"},\n {\"box_2d\": [708, 249, 733, 294], \"label\": \"chicory seed\"},\n {\"box_2d\": [708, 519, 752, 545], \"label\": \"chicory seed\"},\n {\"box_2d\": [709, 764, 736, 807], \"label\": \"chicory seed\"},\n {\"box_2d\": [710, 349, 745, 389], \"label\": \"chicory seed\"},\n {\"box_2d\": [710, 382, 736, 427], \"label\": \"chicory seed\"},\n {\"box_2d\": [715, 300, 757, 326], \"label\": \"chicory seed\"},\n {\"box_2d\": [718, 638, 743, 682], \"label\": \"chicory seed\"},\n {\"box_2d\": [720, 583, 746, 626], \"label\": \"chicory seed\"},\n {\"box_2d\": [720, 738, 759, 770], \"label\": \"chicory seed\"},\n {\"box_2d\": [726, 268, 761, 306], \"label\": \"chicory seed\"},\n {\"box_2d\": [730, 467, 770, 504], \"label\": \"chicory seed\"},\n {\"box_2d\": [731, 322, 766, 363], \"label\": \"chicory seed\"},\n {\"box_2d\": [732, 384, 760, 430], \"label\": \"chicory seed\"},\n {\"box_2d\": [733, 554, 773, 588], \"label\": \"chicory seed\"},\n {\"box_2d\": [734, 637, 777, 664], \"label\": \"chicory seed\"},\n {\"box_2d\": [737, 429, 764, 474], \"label\": \"chicory seed\"},\n {\"box_2d\": [741, 659, 786, 686], \"label\": \"chicory seed\"},\n {\"box_2d\": [742, 362, 773, 405], \"label\": \"chicory seed\"},\n {\"box_2d\": [747, 340, 790, 365], \"label\": \"chicory seed\"},\n {\"box_2d\": [748, 489, 775, 533], \"label\": \"chicory seed\"},\n {\"box_2d\": [750, 524, 795, 553], \"label\": \"chicory seed\"},\n {\"box_2d\": [753, 563, 784, 606], \"label\": \"chicory seed\"},\n {\"box_2d\": [755, 287, 785, 330], \"label\": \"chicory seed\"},\n {\"box_2d\": [757, 411, 798, 441], \"label\": \"chicory seed\"},\n {\"box_2d\": [765, 696, 804, 730], \"label\": \"chicory seed\"},\n {\"box_2d\": [767, 365, 810, 395], \"label\": \"chicory seed\"},\n {\"box_2d\": [769, 593, 806, 633], \"label\": \"chicory seed\"},\n {\"box_2d\": [771, 392, 811, 431], \"label\": \"chicory seed\"},\n {\"box_2d\": [772, 301, 798, 345], \"label\": \"chicory seed\"},\n {\"box_2d\": [773, 441, 802, 484], \"label\": \"chicory seed\"},\n {\"box_2d\": [774, 479, 810, 513], \"label\": \"chicory seed\"},\n {\"box_2d\": [782, 531, 817, 569], \"label\": \"chicory seed\"},\n {\"box_2d\": [785, 330, 811, 376], \"label\": \"chicory seed\"},\n {\"box_2d\": [789, 578, 816, 623], \"label\": \"chicory seed\"},\n {\"box_2d\": [790, 637, 830, 676], \"label\": \"chicory seed\"},\n {\"box_2d\": [791, 434, 820, 476], \"label\": \"chicory seed\"},\n {\"box_2d\": [797, 479, 836, 514], \"label\": \"chicory seed\"},\n {\"box_2d\": [803, 394, 838, 435], \"label\": \"chicory seed\"},\n {\"box_2d\": [803, 548, 847, 576], \"label\": \"chicory seed\"},\n {\"box_2d\": [806, 358, 835, 402], \"label\": \"chicory seed\"},\n {\"box_2d\": [808, 432, 849, 456], \"label\": \"chicory seed\"},\n {\"box_2d\": [809, 593, 838, 638], \"label\": \"chicory seed\"},\n {\"box_2d\": [815, 529, 853, 556], \"label\": \"chicory seed\"},\n {\"box_2d\": [824, 454, 853, 496], \"label\": \"chicory seed\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 17382, "elapsed_seconds": 135.04893837496638, "metadata": {"match_method": "map", "num_predictions": 303, "num_ground_truth": 303, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3366336524486542, "attempts": 1, "retries": 0, "total_seconds": 135.1807}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 166, "image": "9pro_tire_2024-10-17_2_png_jpg.rf.4f51ee46ba892a991a30327b934d13a9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [74, 198, 183, 401], \"label\": \"tire size text\"},\n {\"box_2d\": [809, 675, 876, 758], \"label\": \"tire size text\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 657, "elapsed_seconds": 10.793773457990028, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 11.0124}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 167, "image": "2024-12-05T02-00-56-789Z-1004_jpg.rf.16e81306ce0ce847c1fdd836e6752b92.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [243, 0, 658, 156], \"label\": \"velcro cable tie\"},\n {\"box_2d\": [628, 148, 675, 181], \"label\": \"screw\"},\n {\"box_2d\": [649, 523, 686, 563], \"label\": \"screw\"},\n {\"box_2d\": [429, 868, 502, 926], \"label\": \"screw\"}\n]\n```", "correct": false, "input_tokens": 1204, "output_tokens": 762, "elapsed_seconds": 12.656717083998956, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6666666269302368, "attempts": 1, "retries": 0, "total_seconds": 12.858}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 168, "image": "45_png.rf.5c5cd31ecf12f414c9d6c446b6599fc0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [55, 240, 88, 300], \"label\": \"not gate symbol\"},\n {\"box_2d\": [101, 424, 152, 524], \"label\": \"and gate symbol\"},\n {\"box_2d\": [89, 789, 139, 888], \"label\": \"or gate symbol\"},\n {\"box_2d\": [295, 550, 360, 630], \"label\": \"and gate symbol\"},\n {\"box_2d\": [295, 667, 360, 746], \"label\": \"and gate symbol\"},\n {\"box_2d\": [372, 789, 422, 888], \"label\": \"or gate symbol\"},\n {\"box_2d\": [578, 574, 642, 652], \"label\": \"and gate symbol\"},\n {\"box_2d\": [578, 690, 642, 769], \"label\": \"and gate symbol\"},\n {\"box_2d\": [649, 810, 699, 909], \"label\": \"or gate symbol\"},\n {\"box_2d\": [869, 591, 932, 669], \"label\": \"and gate symbol\"},\n {\"box_2d\": [869, 706, 932, 785], \"label\": \"and gate symbol\"},\n {\"box_2d\": [940, 810, 991, 909], \"label\": \"or gate symbol\"}\n]\n```", "correct": true, "input_tokens": 1264, "output_tokens": 1644, "elapsed_seconds": 17.05116174998693, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 17.0551}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 169, "image": "paper-parts_112786_53_jpg.rf.0483acf3782b23a87f49280c7a03b327.jpg", "expected": "", "predicted": "```json\n[\n {\n \"box_2d\": [\n 91,\n 176,\n 331,\n 667\n ],\n \"label\": \"figure\"\n },\n {\n \"box_2d\": [\n 371,\n 176,\n 424,\n 882\n ],\n \"label\": \"figure caption\"\n },\n {\n \"box_2d\": [\n 478,\n 176,\n 493,\n 207\n ],\n \"label\": \"paragraph\"\n },\n {\n \"box_2d\": [\n 523,\n 274,\n 550,\n 753\n ],\n \"label\": \"equation\"\n },\n {\n \"box_2d\": [\n 559,\n 274,\n 586,\n 711\n ],\n \"label\": \"equation\"\n },\n {\n \"box_2d\": [\n 596,\n 274,\n 623,\n 784\n ],\n \"label\": \"equation\"\n },\n {\n \"box_2d\": [\n 632,\n 274,\n 660,\n 735\n ],\n \"label\": \"equation\"\n },\n {\n \"box_2d\": [\n 669,\n 274,\n 696,\n 736\n ],\n \"label\": \"equation\"\n },\n {\n \"box_2d\": [\n 708,\n 274,\n 735,\n 530\n ],\n \"label\": \"equation\"\n },\n {\n \"box_2d\": [\n 755,\n 176,\n 869,\n 883\n ],\n \"label\": \"paragraph\"\n },\n {\n \"box_2d\": [\n 897,\n 519,\n 913,\n 539\n ],\n \"label\": \"page number\"\n }\n]\n```", "correct": true, "input_tokens": 1248, "output_tokens": 1807, "elapsed_seconds": 19.98307133303024, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8504949808120728, "attempts": 1, "retries": 0, "total_seconds": 20.0098}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 170, "image": "signatures_image_21_png_jpg.rf.af64d00b20a92b8a4d92e9aefc5cd1f8.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [71, 216, 179, 405], \"label\": \"signature\"},\n {\"box_2d\": [302, 678, 391, 868], \"label\": \"signature\"},\n {\"box_2d\": [649, 511, 761, 732], \"label\": \"signature\"},\n {\"box_2d\": [833, 419, 945, 643], \"label\": \"signature\"},\n {\"box_2d\": [828, 650, 926, 849], \"label\": \"signature\"}\n]\n```", "correct": true, "input_tokens": 1252, "output_tokens": 1726, "elapsed_seconds": 18.3940787500469, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.800000011920929, "attempts": 1, "retries": 0, "total_seconds": 18.4849}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 171, "image": "1668146885__jpg.rf.3d8577f11d5831de64da2c2964b98050.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [49, 204, 98, 235], \"label\": \"six die\"},\n {\"box_2d\": [21, 353, 82, 386], \"label\": \"four die\"},\n {\"box_2d\": [140, 141, 193, 170], \"label\": \"two die\"},\n {\"box_2d\": [172, 224, 228, 256], \"label\": \"two die\"},\n {\"box_2d\": [327, 212, 386, 245], \"label\": \"five die\"},\n {\"box_2d\": [390, 138, 449, 171], \"label\": \"three die\"},\n {\"box_2d\": [378, 201, 435, 234], \"label\": \"six die\"},\n {\"box_2d\": [380, 275, 439, 308], \"label\": \"five die\"},\n {\"box_2d\": [345, 317, 401, 349], \"label\": \"five die\"},\n {\"box_2d\": [442, 215, 497, 247], \"label\": \"one die\"},\n {\"box_2d\": [515, 216, 571, 249], \"label\": \"three die\"},\n {\"box_2d\": [519, 273, 577, 306], \"label\": \"three die\"},\n {\"box_2d\": [625, 164, 675, 194], \"label\": \"two die\"},\n {\"box_2d\": [692, 224, 747, 257], \"label\": \"two die\"},\n {\"box_2d\": [728, 258, 785, 291], \"label\": \"four die\"},\n {\"box_2d\": [507, 467, 565, 500], \"label\": \"five die\"},\n {\"box_2d\": [596, 449, 644, 476], \"label\": \"two die\"},\n {\"box_2d\": [573, 495, 631, 528], \"label\": \"five die\"},\n {\"box_2d\": [622, 510, 681, 543], \"label\": \"four die\"},\n {\"box_2d\": [508, 537, 565, 571], \"label\": \"five die\"},\n {\"box_2d\": [555, 531, 610, 561], \"label\": \"two die\"},\n {\"box_2d\": [542, 558, 600, 591], \"label\": \"five die\"},\n {\"box_2d\": [616, 554, 671, 585], \"label\": \"three die\"},\n {\"box_2d\": [692, 583, 748, 613], \"label\": \"six die\"},\n {\"box_2d\": [446, 588, 497, 616], \"label\": \"three die\"},\n {\"box_2d\": [344, 545, 401, 577], \"label\": \"five die\"},\n {\"box_2d\": [302, 563, 353, 591], \"label\": \"six die\"},\n {\"box_2d\": [308, 597, 360, 624], \"label\": \"one die\"},\n {\"box_2d\": [193, 634, 253, 667], \"label\": \"six die\"},\n {\"box_2d\": [258, 633, 315, 665], \"label\": \"four die\"},\n {\"box_2d\": [290, 684, 347, 716], \"label\": \"two die\"},\n {\"box_2d\": [374, 687, 432, 721], \"label\": \"three die\"},\n {\"box_2d\": [420, 660, 477, 692], \"label\": \"six die\"},\n {\"box_2d\": [473, 683, 531, 716], \"label\": \"three die\"},\n {\"box_2d\": [483, 715, 542, 748], \"label\": \"two die\"},\n {\"box_2d\": [128, 710, 186, 743], \"label\": \"six die\"},\n {\"box_2d\": [105, 750, 163, 782], \"label\": \"three die\"},\n {\"box_2d\": [58, 790, 115, 821], \"label\": \"two die\"},\n {\"box_2d\": [208, 883, 263, 916], \"label\": \"five die\"},\n {\"box_2d\": [303, 917, 362, 950], \"label\": \"three die\"},\n {\"box_2d\": [296, 788, 355, 822], \"label\": \"three die\"},\n {\"box_2d\": [342, 778, 401, 811], \"label\": \"four die\"},\n {\"box_2d\": [539, 804, 586, 833], \"label\": \"six die\"},\n {\"box_2d\": [579, 828, 626, 856], \"label\": \"five die\"},\n {\"box_2d\": [610, 789, 657, 818], \"label\": \"six die\"},\n {\"box_2d\": [652, 711, 711, 744], \"label\": \"two die\"},\n {\"box_2d\": [678, 855, 728, 885], \"label\": \"six die\"}\n]\n```", "correct": false, "input_tokens": 1252, "output_tokens": 5161, "elapsed_seconds": 36.42561629193369, "metadata": {"match_method": "map", "num_predictions": 47, "num_ground_truth": 48, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7024752497673035, "attempts": 1, "retries": 0, "total_seconds": 36.4668}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 172, "image": "IMG_20220316_171754_jpg.rf.02842914dec30f998cea03868026b96a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [86, 192, 405, 487], \"label\": \"eight of clubs\"},\n {\"box_2d\": [286, 275, 646, 540], \"label\": \"seven of clubs\"},\n {\"box_2d\": [294, 419, 674, 740], \"label\": \"five of clubs\"},\n {\"box_2d\": [457, 517, 941, 922], \"label\": \"six of clubs\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 523, "elapsed_seconds": 6.337809749995358, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 6.375}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 173, "image": "39_jpg.rf.edb5339d00a37b75d6cf16c1f9a301ff.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [173, 165, 215, 206], \"label\": \"resistor symbol\"},\n {\"box_2d\": [152, 353, 201, 405], \"label\": \"resistor symbol\"},\n {\"box_2d\": [353, 270, 452, 286], \"label\": \"resistor symbol\"},\n {\"box_2d\": [351, 480, 453, 498], \"label\": \"resistor symbol\"},\n {\"box_2d\": [773, 330, 839, 401], \"label\": \"resistor symbol\"},\n {\"box_2d\": [318, 673, 424, 691], \"label\": \"resistor symbol\"},\n {\"box_2d\": [156, 767, 194, 812], \"label\": \"resistor symbol\"},\n {\"box_2d\": [443, 855, 545, 875], \"label\": \"resistor symbol\"},\n {\"box_2d\": [467, 61, 634, 125], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [118, 555, 211, 620], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [805, 274, 896, 300], \"label\": \"ground symbol\"}\n]\n```", "correct": true, "input_tokens": 1216, "output_tokens": 2154, "elapsed_seconds": 24.18060841690749, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 10, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 24.2552}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 174, "image": "99FB9DDE-58F9-4BBA-8CC2-48146BC0EBC5_jpg.rf.1cef29e3b05e7507a4b618bd8b857503.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [191, 248, 252, 310], \"label\": \"pill\"},\n {\"box_2d\": [181, 443, 244, 504], \"label\": \"pill\"},\n {\"box_2d\": [293, 202, 353, 265], \"label\": \"pill\"},\n {\"box_2d\": [352, 180, 413, 243], \"label\": \"pill\"},\n {\"box_2d\": [416, 134, 476, 198], \"label\": \"pill\"},\n {\"box_2d\": [270, 327, 330, 388], \"label\": \"pill\"},\n {\"box_2d\": [335, 284, 396, 345], \"label\": \"pill\"},\n {\"box_2d\": [387, 310, 446, 372], \"label\": \"pill\"},\n {\"box_2d\": [419, 245, 479, 307], \"label\": \"pill\"},\n {\"box_2d\": [472, 303, 533, 366], \"label\": \"pill\"},\n {\"box_2d\": [515, 344, 575, 406], \"label\": \"pill\"},\n {\"box_2d\": [445, 358, 505, 420], \"label\": \"pill\"},\n {\"box_2d\": [377, 390, 437, 451], \"label\": \"pill\"},\n {\"box_2d\": [318, 408, 378, 468], \"label\": \"pill\"},\n {\"box_2d\": [278, 450, 339, 510], \"label\": \"pill\"},\n {\"box_2d\": [334, 468, 394, 529], \"label\": \"pill\"},\n {\"box_2d\": [399, 476, 459, 537], \"label\": \"pill\"},\n {\"box_2d\": [445, 439, 506, 500], \"label\": \"pill\"},\n {\"box_2d\": [504, 413, 565, 474], \"label\": \"pill\"},\n {\"box_2d\": [489, 485, 549, 546], \"label\": \"pill\"},\n {\"box_2d\": [551, 466, 613, 527], \"label\": \"pill\"},\n {\"box_2d\": [612, 449, 673, 511], \"label\": \"pill\"},\n {\"box_2d\": [592, 365, 654, 428], \"label\": \"pill\"},\n {\"box_2d\": [601, 281, 665, 346], \"label\": \"pill\"},\n {\"box_2d\": [620, 199, 682, 264], \"label\": \"pill\"},\n {\"box_2d\": [387, 545, 447, 606], \"label\": \"pill\"},\n {\"box_2d\": [450, 532, 511, 593], \"label\": \"pill\"},\n {\"box_2d\": [507, 560, 569, 622], \"label\": \"pill\"},\n {\"box_2d\": [562, 530, 625, 592], \"label\": \"pill\"},\n {\"box_2d\": [635, 539, 698, 601], \"label\": \"pill\"},\n {\"box_2d\": [429, 612, 490, 674], \"label\": \"pill\"},\n {\"box_2d\": [403, 667, 465, 730], \"label\": \"pill\"},\n {\"box_2d\": [685, 762, 751, 829], \"label\": \"pill\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 3404, "elapsed_seconds": 29.152455916977488, "metadata": {"match_method": "map", "num_predictions": 33, "num_ground_truth": 33, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 29.4796}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 175, "image": "8a_tire_2024-10-17_62_png_jpg.rf.da90fbf7f0527f341a28f165c3e83dac.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [143, 345, 190, 439], \"label\": \"tire size text\"},\n {\"box_2d\": [460, 56, 659, 97], \"label\": \"tire size text\"},\n {\"box_2d\": [458, 912, 650, 949], \"label\": \"tire size text\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 1013, "elapsed_seconds": 16.99599949992262, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 17.3555}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 176, "image": "frame_0002_03_jpg.rf.dda0be95dbf94773efee5983feb50582.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [465, 330, 524, 360], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [477, 398, 535, 430], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [484, 473, 542, 505], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [488, 545, 548, 578], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [591, 327, 650, 357], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [603, 397, 667, 430], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [610, 470, 673, 502], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [616, 542, 678, 576], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [717, 320, 776, 352], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [734, 388, 795, 421], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [742, 461, 804, 494], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [749, 534, 811, 568], \"label\": \"soda bottle cap\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 1279, "elapsed_seconds": 15.933179874904454, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 16.3258}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 177, "image": "f77_jpg.rf.82279850cbac861dc93376eb2c7be55d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 56, 444, 240], \"label\": \"wildfire\"},\n {\"box_2d\": [0, 746, 723, 1000], \"label\": \"wildfire\"},\n {\"box_2d\": [309, 136, 444, 228], \"label\": \"wildfire\"},\n {\"box_2d\": [472, 746, 723, 860], \"label\": \"wildfire\"},\n {\"box_2d\": [152, 295, 196, 314], \"label\": \"wildfire\"},\n {\"box_2d\": [488, 642, 523, 661], \"label\": \"wildfire\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 1699, "elapsed_seconds": 20.79382074996829, "metadata": {"match_method": "map", "num_predictions": 6, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.301980197429657, "attempts": 1, "retries": 0, "total_seconds": 20.8745}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 178, "image": "1219_48_jpg.rf.d6aecd0b221112666e45beae667e3572.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 5, 123, 130], \"label\": \"white king\"},\n {\"box_2d\": [2, 385, 127, 474], \"label\": \"white queen\"},\n {\"box_2d\": [16, 892, 118, 998], \"label\": \"white bishop\"},\n {\"box_2d\": [142, 386, 236, 478], \"label\": \"white bishop\"},\n {\"box_2d\": [280, 646, 353, 720], \"label\": \"white pawn\"},\n {\"box_2d\": [399, 275, 487, 366], \"label\": \"black king\"},\n {\"box_2d\": [399, 519, 479, 599], \"label\": \"white rook\"},\n {\"box_2d\": [397, 767, 482, 879], \"label\": \"black queen\"},\n {\"box_2d\": [497, 770, 577, 862], \"label\": \"black rook\"},\n {\"box_2d\": [513, 270, 596, 357], \"label\": \"white knight\"},\n {\"box_2d\": [522, 636, 602, 735], \"label\": \"black knight\"},\n {\"box_2d\": [533, 146, 613, 233], \"label\": \"black rook\"},\n {\"box_2d\": [636, 8, 717, 117], \"label\": \"black knight\"},\n {\"box_2d\": [649, 527, 729, 622], \"label\": \"white knight\"},\n {\"box_2d\": [666, 750, 738, 829], \"label\": \"black pawn\"},\n {\"box_2d\": [748, 252, 838, 342], \"label\": \"black bishop\"},\n {\"box_2d\": [869, 276, 987, 367], \"label\": \"black queen\"}\n]\n```", "correct": true, "input_tokens": 1259, "output_tokens": 1914, "elapsed_seconds": 18.066295959055424, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 17, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 18.2435}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 179, "image": "f27_jpg.rf.b153b2c59a95b68f3f9edb924d42cee4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [46, 241, 412, 395], \"label\": \"wildfire\"},\n {\"box_2d\": [174, 598, 444, 725], \"label\": \"wildfire\"},\n {\"box_2d\": [596, 177, 941, 394], \"label\": \"wildfire\"},\n {\"box_2d\": [646, 676, 744, 733], \"label\": \"wildfire\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 5706, "elapsed_seconds": 64.90140712505672, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 2, "retries": 1, "total_seconds": 128.9998, "transient_errors": ["RemoteProtocolError"]}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 180, "image": "img_461922717831528641_png.rf.c1eccbe6f38478b43fbba2e4cba33ac0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [58, 181, 162, 323], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [28, 321, 132, 456], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [68, 443, 175, 581], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [35, 574, 141, 709], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [79, 697, 187, 839], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [152, 169, 267, 320], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [120, 310, 232, 453], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [164, 439, 277, 583], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [128, 572, 238, 715], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [169, 697, 285, 847], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [252, 157, 376, 315], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [217, 304, 333, 451], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [264, 439, 381, 585], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [223, 571, 339, 718], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [269, 701, 389, 855], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [360, 144, 488, 309], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [320, 298, 444, 449], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [368, 436, 490, 588], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [324, 573, 447, 725], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [373, 706, 496, 868], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [474, 130, 603, 302], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [432, 290, 558, 447], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [478, 431, 603, 590], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [434, 573, 558, 731], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [484, 710, 606, 882], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [597, 113, 725, 294], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [552, 280, 678, 442], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [599, 428, 723, 591], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [551, 574, 676, 742], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [602, 717, 725, 902], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [724, 92, 864, 286], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [676, 270, 804, 439], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [721, 424, 858, 595], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [673, 573, 801, 750], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [723, 726, 859, 916], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [856, 77, 1000, 272], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [801, 256, 956, 435], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [854, 419, 1000, 596], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [800, 577, 953, 761], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [851, 740, 1000, 935], \"label\": \"empty portable gas cylinder\"}\n]\n```", "correct": false, "input_tokens": 1208, "output_tokens": 3449, "elapsed_seconds": 27.252626416971907, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 40, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.4122750163078308, "attempts": 1, "retries": 0, "total_seconds": 27.3284}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 181, "image": "20230113_134921_jpg.rf.98498c853848c0b93af6274d6758c4d5.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [519, 800, 538, 880], \"label\": \"crack\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 241, "elapsed_seconds": 5.431932415929623, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 5.445}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 182, "image": "IMG_0618_jpeg.rf.efa7b9f1261718cff400e2cf104b3017.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [375, 238, 443, 308], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [497, 205, 588, 256], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [612, 243, 683, 327], \"label\": \"peach jelly bean\"},\n {\"box_2d\": [616, 402, 713, 474], \"label\": \"peach jelly bean\"},\n {\"box_2d\": [485, 345, 575, 408], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [357, 394, 431, 458], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [276, 460, 336, 527], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [607, 626, 713, 683], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [436, 520, 517, 584], \"label\": \"caramel corn jelly bean\"},\n {\"box_2d\": [343, 577, 419, 625], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [452, 694, 523, 773], \"label\": \"mixed berry smoothie jelly bean\"}\n]\n```", "correct": true, "input_tokens": 1230, "output_tokens": 2083, "elapsed_seconds": 18.016146291978657, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 18.0519}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 183, "image": "1668146875__jpg.rf.3051c36c0a756d3687be5c2fb0ad5141.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [573, 169, 621, 198], \"label\": \"four die\"},\n {\"box_2d\": [440, 218, 493, 250], \"label\": \"three die\"},\n {\"box_2d\": [231, 272, 290, 304], \"label\": \"six die\"},\n {\"box_2d\": [218, 297, 274, 329], \"label\": \"six die\"},\n {\"box_2d\": [270, 302, 326, 333], \"label\": \"five die\"},\n {\"box_2d\": [342, 301, 389, 328], \"label\": \"five die\"},\n {\"box_2d\": [304, 324, 353, 351], \"label\": \"four die\"},\n {\"box_2d\": [388, 311, 437, 339], \"label\": \"five die\"},\n {\"box_2d\": [350, 337, 396, 363], \"label\": \"four die\"},\n {\"box_2d\": [299, 349, 348, 375], \"label\": \"six die\"},\n {\"box_2d\": [411, 340, 466, 372], \"label\": \"two die\"},\n {\"box_2d\": [200, 348, 258, 381], \"label\": \"five die\"},\n {\"box_2d\": [292, 372, 341, 399], \"label\": \"three die\"},\n {\"box_2d\": [340, 368, 388, 395], \"label\": \"four die\"},\n {\"box_2d\": [282, 395, 333, 424], \"label\": \"two die\"},\n {\"box_2d\": [100, 362, 160, 396], \"label\": \"six die\"},\n {\"box_2d\": [182, 389, 238, 420], \"label\": \"two die\"},\n {\"box_2d\": [111, 405, 170, 437], \"label\": \"two die\"},\n {\"box_2d\": [181, 433, 242, 467], \"label\": \"six die\"},\n {\"box_2d\": [291, 516, 350, 550], \"label\": \"six die\"},\n {\"box_2d\": [362, 540, 417, 572], \"label\": \"two die\"},\n {\"box_2d\": [412, 492, 463, 521], \"label\": \"five die\"},\n {\"box_2d\": [513, 389, 570, 420], \"label\": \"five die\"},\n {\"box_2d\": [587, 381, 643, 412], \"label\": \"two die\"},\n {\"box_2d\": [530, 450, 588, 483], \"label\": \"three die\"},\n {\"box_2d\": [768, 325, 817, 353], \"label\": \"six die\"},\n {\"box_2d\": [816, 314, 868, 343], \"label\": \"five die\"},\n {\"box_2d\": [848, 374, 899, 402], \"label\": \"six die\"},\n {\"box_2d\": [819, 426, 878, 458], \"label\": \"five die\"},\n {\"box_2d\": [757, 440, 804, 466], \"label\": \"five die\"},\n {\"box_2d\": [707, 442, 757, 470], \"label\": \"four die\"},\n {\"box_2d\": [649, 471, 703, 502], \"label\": \"six die\"},\n {\"box_2d\": [684, 495, 740, 527], \"label\": \"six die\"},\n {\"box_2d\": [640, 514, 695, 546], \"label\": \"two die\"},\n {\"box_2d\": [589, 531, 635, 557], \"label\": \"five die\"},\n {\"box_2d\": [34, 674, 92, 706], \"label\": \"four die\"},\n {\"box_2d\": [149, 781, 198, 809], \"label\": \"three die\"},\n {\"box_2d\": [201, 765, 250, 794], \"label\": \"one die\"},\n {\"box_2d\": [257, 715, 312, 747], \"label\": \"three die\"},\n {\"box_2d\": [341, 684, 396, 715], \"label\": \"two die\"},\n {\"box_2d\": [399, 648, 443, 675], \"label\": \"four die\"},\n {\"box_2d\": [364, 773, 412, 802], \"label\": \"three die\"},\n {\"box_2d\": [394, 748, 452, 782], \"label\": \"one die\"},\n {\"box_2d\": [450, 757, 496, 785], \"label\": \"four die\"},\n {\"box_2d\": [496, 757, 544, 786], \"label\": \"four die\"},\n {\"box_2d\": [439, 808, 490, 839], \"label\": \"six die\"},\n {\"box_2d\": [667, 793, 721, 826], \"label\": \"three die\"}\n]\n```", "correct": false, "input_tokens": 1252, "output_tokens": 3877, "elapsed_seconds": 31.592889416962862, "metadata": {"match_method": "map", "num_predictions": 47, "num_ground_truth": 48, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7798555493354797, "attempts": 1, "retries": 0, "total_seconds": 31.6308}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 184, "image": "C440AC87-A6AC-47BA-9CB8-2E8D0B276501_jpg.rf.8b0f079f1f23f56b5c9934be046152df.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [164, 249, 239, 325], \"label\": \"pill\"},\n {\"box_2d\": [161, 369, 236, 443], \"label\": \"pill\"},\n {\"box_2d\": [228, 166, 305, 246], \"label\": \"pill\"},\n {\"box_2d\": [243, 305, 319, 382], \"label\": \"pill\"},\n {\"box_2d\": [326, 123, 405, 205], \"label\": \"pill\"},\n {\"box_2d\": [305, 273, 383, 352], \"label\": \"pill\"},\n {\"box_2d\": [357, 320, 434, 399], \"label\": \"pill\"},\n {\"box_2d\": [353, 405, 430, 482], \"label\": \"pill\"},\n {\"box_2d\": [297, 456, 374, 532], \"label\": \"pill\"},\n {\"box_2d\": [290, 548, 365, 623], \"label\": \"pill\"},\n {\"box_2d\": [315, 615, 392, 692], \"label\": \"pill\"},\n {\"box_2d\": [306, 689, 383, 766], \"label\": \"pill\"},\n {\"box_2d\": [361, 544, 437, 622], \"label\": \"pill\"},\n {\"box_2d\": [374, 704, 453, 785], \"label\": \"pill\"},\n {\"box_2d\": [429, 648, 509, 729], \"label\": \"pill\"},\n {\"box_2d\": [475, 583, 556, 663], \"label\": \"pill\"},\n {\"box_2d\": [429, 522, 508, 601], \"label\": \"pill\"},\n {\"box_2d\": [437, 434, 517, 513], \"label\": \"pill\"},\n {\"box_2d\": [413, 364, 491, 442], \"label\": \"pill\"},\n {\"box_2d\": [414, 276, 493, 357], \"label\": \"pill\"},\n {\"box_2d\": [465, 162, 546, 245], \"label\": \"pill\"},\n {\"box_2d\": [480, 239, 561, 321], \"label\": \"pill\"},\n {\"box_2d\": [473, 320, 554, 401], \"label\": \"pill\"},\n {\"box_2d\": [542, 282, 625, 366], \"label\": \"pill\"},\n {\"box_2d\": [573, 354, 656, 437], \"label\": \"pill\"},\n {\"box_2d\": [601, 437, 686, 520], \"label\": \"pill\"},\n {\"box_2d\": [587, 520, 670, 603], \"label\": \"pill\"},\n {\"box_2d\": [508, 514, 589, 595], \"label\": \"pill\"},\n {\"box_2d\": [581, 677, 665, 762], \"label\": \"pill\"},\n {\"box_2d\": [793, 59, 885, 152], \"label\": \"pill\"},\n {\"box_2d\": [701, 160, 789, 248], \"label\": \"pill\"},\n {\"box_2d\": [689, 245, 777, 332], \"label\": \"pill\"},\n {\"box_2d\": [780, 220, 872, 310], \"label\": \"pill\"},\n {\"box_2d\": [719, 320, 809, 408], \"label\": \"pill\"},\n {\"box_2d\": [722, 495, 811, 582], \"label\": \"pill\"},\n {\"box_2d\": [810, 479, 902, 568], \"label\": \"pill\"},\n {\"box_2d\": [771, 570, 862, 658], \"label\": \"pill\"},\n {\"box_2d\": [703, 619, 793, 706], \"label\": \"pill\"},\n {\"box_2d\": [698, 702, 787, 789], \"label\": \"pill\"},\n {\"box_2d\": [692, 784, 781, 870], \"label\": \"pill\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 3196, "elapsed_seconds": 30.849783166893758, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 40, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 31.2529}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 185, "image": "preannot3_62_png.rf.0c5f5d9500c1d4c579c64d746f68b358.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [21, 333, 31, 353], \"label\": \"tire spike normal\"},\n {\"box_2d\": [29, 642, 40, 661], \"label\": \"tire spike normal\"},\n {\"box_2d\": [70, 619, 82, 642], \"label\": \"tire spike normal\"},\n {\"box_2d\": [90, 297, 104, 319], \"label\": \"tire spike normal\"},\n {\"box_2d\": [109, 696, 123, 718], \"label\": \"tire spike normal\"},\n {\"box_2d\": [150, 238, 165, 259], \"label\": \"tire spike normal\"},\n {\"box_2d\": [180, 655, 196, 680], \"label\": \"tire spike normal\"},\n {\"box_2d\": [235, 304, 252, 326], \"label\": \"tire spike normal\"},\n {\"box_2d\": [252, 699, 270, 725], \"label\": \"tire spike normal\"},\n {\"box_2d\": [293, 241, 311, 267], \"label\": \"tire spike normal\"},\n {\"box_2d\": [321, 745, 338, 769], \"label\": \"tire spike absent\"},\n {\"box_2d\": [364, 200, 383, 226], \"label\": \"tire spike absent\"},\n {\"box_2d\": [395, 772, 412, 795], \"label\": \"tire spike normal\"},\n {\"box_2d\": [444, 220, 463, 244], \"label\": \"tire spike normal\"},\n {\"box_2d\": [506, 653, 524, 680], \"label\": \"tire spike normal\"},\n {\"box_2d\": [560, 326, 579, 352], \"label\": \"tire spike normal\"},\n {\"box_2d\": [571, 694, 590, 720], \"label\": \"tire spike normal\"},\n {\"box_2d\": [617, 268, 636, 293], \"label\": \"tire spike normal\"},\n {\"box_2d\": [676, 634, 695, 661], \"label\": \"tire spike normal\"},\n {\"box_2d\": [706, 316, 725, 342], \"label\": \"tire spike normal\"},\n {\"box_2d\": [709, 754, 727, 778], \"label\": \"tire spike normal\"},\n {\"box_2d\": [757, 245, 774, 270], \"label\": \"tire spike normal\"},\n {\"box_2d\": [802, 668, 818, 694], \"label\": \"tire spike normal\"},\n {\"box_2d\": [855, 720, 869, 743], \"label\": \"tire spike normal\"},\n {\"box_2d\": [899, 290, 913, 314], \"label\": \"tire spike normal\"},\n {\"box_2d\": [931, 246, 943, 268], \"label\": \"tire spike normal\"},\n {\"box_2d\": [931, 640, 943, 662], \"label\": \"tire spike normal\"},\n {\"box_2d\": [941, 735, 954, 756], \"label\": \"tire spike normal\"}\n]\n```", "correct": false, "input_tokens": 1206, "output_tokens": 2823, "elapsed_seconds": 23.397450375021435, "metadata": {"match_method": "map", "num_predictions": 28, "num_ground_truth": 32, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6454684138298035, "attempts": 1, "retries": 0, "total_seconds": 23.4581}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 186, "image": "floorplan-windows-doors_10035_png.rf.4ea81a436186bba253c43df724f8ab26.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [216, 184, 297, 238], \"label\": \"door\"},\n {\"box_2d\": [287, 310, 348, 347], \"label\": \"door\"},\n {\"box_2d\": [457, 310, 519, 347], \"label\": \"door\"},\n {\"box_2d\": [265, 396, 340, 445], \"label\": \"door\"},\n {\"box_2d\": [382, 439, 452, 489], \"label\": \"door\"},\n {\"box_2d\": [465, 396, 540, 445], \"label\": \"door\"},\n {\"box_2d\": [214, 678, 286, 728], \"label\": \"door\"},\n {\"box_2d\": [393, 769, 464, 821], \"label\": \"door\"},\n {\"box_2d\": [540, 766, 616, 816], \"label\": \"door\"},\n {\"box_2d\": [556, 677, 631, 728], \"label\": \"door\"},\n {\"box_2d\": [591, 826, 661, 870], \"label\": \"door\"},\n {\"box_2d\": [618, 917, 692, 986], \"label\": \"door\"},\n {\"box_2d\": [750, 486, 845, 542], \"label\": \"door\"},\n {\"box_2d\": [11, 134, 35, 191], \"label\": \"window\"},\n {\"box_2d\": [11, 342, 35, 438], \"label\": \"window\"},\n {\"box_2d\": [11, 502, 35, 581], \"label\": \"window\"},\n {\"box_2d\": [11, 589, 35, 667], \"label\": \"window\"},\n {\"box_2d\": [11, 773, 35, 851], \"label\": \"window\"},\n {\"box_2d\": [319, 916, 416, 936], \"label\": \"window\"},\n {\"box_2d\": [749, 773, 774, 835], \"label\": \"window\"},\n {\"box_2d\": [749, 597, 774, 675], \"label\": \"window\"},\n {\"box_2d\": [749, 339, 774, 409], \"label\": \"window\"}\n]\n```", "correct": true, "input_tokens": 1245, "output_tokens": 2417, "elapsed_seconds": 20.47913916700054, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 20.5175}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 187, "image": "IMG_6647_jpeg_jpg.rf.c9080c42346e2e5efd9c896163bdce7e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [478, 265, 594, 470], \"label\": \"white poker chip\"},\n {\"box_2d\": [556, 266, 611, 464], \"label\": \"white poker chip\"},\n {\"box_2d\": [566, 262, 628, 462], \"label\": \"white poker chip\"},\n {\"box_2d\": [574, 259, 654, 461], \"label\": \"white poker chip\"},\n {\"box_2d\": [220, 505, 281, 749], \"label\": \"white poker chip\"},\n {\"box_2d\": [255, 511, 307, 753], \"label\": \"white poker chip\"},\n {\"box_2d\": [279, 514, 333, 759], \"label\": \"white poker chip\"},\n {\"box_2d\": [305, 524, 358, 766], \"label\": \"white poker chip\"},\n {\"box_2d\": [318, 515, 381, 756], \"label\": \"white poker chip\"},\n {\"box_2d\": [343, 514, 404, 750], \"label\": \"white poker chip\"},\n {\"box_2d\": [365, 514, 426, 749], \"label\": \"white poker chip\"},\n {\"box_2d\": [378, 511, 446, 742], \"label\": \"white poker chip\"},\n {\"box_2d\": [385, 498, 466, 729], \"label\": \"white poker chip\"},\n {\"box_2d\": [420, 499, 488, 725], \"label\": \"white poker chip\"},\n {\"box_2d\": [441, 499, 508, 723], \"label\": \"white poker chip\"},\n {\"box_2d\": [453, 492, 529, 717], \"label\": \"white poker chip\"},\n {\"box_2d\": [464, 486, 548, 712], \"label\": \"white poker chip\"},\n {\"box_2d\": [497, 486, 569, 709], \"label\": \"white poker chip\"},\n {\"box_2d\": [511, 482, 588, 699], \"label\": \"white poker chip\"},\n {\"box_2d\": [531, 479, 605, 695], \"label\": \"white poker chip\"},\n {\"box_2d\": [546, 473, 621, 695], \"label\": \"white poker chip\"},\n {\"box_2d\": [559, 470, 637, 683], \"label\": \"white poker chip\"},\n {\"box_2d\": [587, 471, 654, 678], \"label\": \"white poker chip\"},\n {\"box_2d\": [602, 474, 669, 675], \"label\": \"white poker chip\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 2950, "elapsed_seconds": 25.07495816599112, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 24, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9504950642585754, "attempts": 1, "retries": 0, "total_seconds": 25.0919}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 188, "image": "IMG_20220316_141641_jpg.rf.2b5b442678a6dd37dce39460868771a9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [190, 99, 577, 424], \"label\": \"jack of spades\"},\n {\"box_2d\": [140, 333, 526, 653], \"label\": \"ten of spades\"},\n {\"box_2d\": [143, 567, 527, 868], \"label\": \"queen of spades\"},\n {\"box_2d\": [445, 29, 879, 400], \"label\": \"nine of spades\"},\n {\"box_2d\": [548, 344, 960, 696], \"label\": \"king of spades\"}\n]\n```", "correct": true, "input_tokens": 1218, "output_tokens": 621, "elapsed_seconds": 7.081125834025443, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 7.1016}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 189, "image": "img_460975841708081304_png.rf.71eaf0b919ddab2a648aa76c72cc4a00.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [159, 145, 300, 252], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [176, 250, 311, 351], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [187, 352, 311, 446], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [201, 444, 333, 538], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [216, 534, 344, 629], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [228, 622, 352, 718], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [239, 710, 361, 806], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [242, 118, 405, 240], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [261, 236, 416, 347], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [273, 344, 412, 446], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [285, 444, 434, 546], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [296, 541, 449, 643], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [308, 636, 452, 742], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [321, 729, 461, 834], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [344, 86, 527, 221], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [364, 217, 533, 338], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [375, 336, 535, 447], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [386, 445, 550, 554], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [396, 548, 560, 661], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [407, 650, 562, 767], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [417, 748, 566, 867], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [469, 44, 672, 198], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [482, 190, 677, 327], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [495, 323, 675, 446], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [501, 445, 687, 565], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [508, 556, 697, 684], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [518, 671, 697, 796], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [525, 777, 695, 907], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [621, 0, 860, 174], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [634, 162, 861, 314], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [641, 311, 855, 447], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [642, 443, 860, 579], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [645, 570, 858, 709], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [658, 691, 858, 836], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [660, 813, 852, 957], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [811, 0, 1000, 136], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [822, 121, 1000, 297], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [819, 293, 1000, 445], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [821, 445, 1000, 595], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [820, 588, 1000, 742], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [824, 725, 1000, 879], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [825, 852, 1000, 1000], \"label\": \"full portable gas cylinder\"}\n]\n```", "correct": true, "input_tokens": 1203, "output_tokens": 3222, "elapsed_seconds": 34.50008412497118, "metadata": {"match_method": "map", "num_predictions": 42, "num_ground_truth": 42, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 34.5788}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 190, "image": "0000242_03668_d_0000012_jpg.rf.06096e6f084464419e172f0d35ca4d48.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [777, 156, 963, 229], \"label\": \"car\"},\n {\"box_2d\": [454, 319, 550, 360], \"label\": \"car\"},\n {\"box_2d\": [446, 487, 532, 523], \"label\": \"car\"},\n {\"box_2d\": [306, 242, 369, 302], \"label\": \"car\"},\n {\"box_2d\": [249, 510, 304, 539], \"label\": \"car\"},\n {\"box_2d\": [309, 714, 360, 779], \"label\": \"car\"},\n {\"box_2d\": [375, 864, 431, 905], \"label\": \"car\"},\n {\"box_2d\": [556, 691, 631, 741], \"label\": \"car\"},\n {\"box_2d\": [604, 622, 1000, 770], \"label\": \"bus\"},\n {\"box_2d\": [354, 111, 405, 186], \"label\": \"car\"},\n {\"box_2d\": [272, 59, 335, 105], \"label\": \"van\"},\n {\"box_2d\": [222, 305, 290, 341], \"label\": \"car\"},\n {\"box_2d\": [393, 42, 436, 95], \"label\": \"tricycle\"},\n {\"box_2d\": [397, 106, 434, 136], \"label\": \"motorcycle\"},\n {\"box_2d\": [412, 176, 455, 217], \"label\": \"tricycle\"},\n {\"box_2d\": [33, 481, 65, 499], \"label\": \"car\"},\n {\"box_2d\": [135, 544, 179, 565], \"label\": \"car\"},\n {\"box_2d\": [349, 0, 403, 19], \"label\": \"car\"},\n {\"box_2d\": [274, 864, 311, 875], \"label\": \"person\"},\n {\"box_2d\": [408, 190, 443, 204], \"label\": \"person\"},\n {\"box_2d\": [390, 66, 424, 80], \"label\": \"person\"},\n {\"box_2d\": [387, 111, 425, 127], \"label\": \"person\"}\n]\n```", "correct": false, "input_tokens": 1253, "output_tokens": 1904, "elapsed_seconds": 28.33360829099547, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 41, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.43857717514038086, "attempts": 1, "retries": 0, "total_seconds": 28.3598}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 191, "image": "DJI_20230529111835_0160_T_JPG_jpg.rf.cb5b9a9d87fdc7c9ff407eb5530abb88.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [31, 75, 46, 89], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [102, 446, 118, 460], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [99, 486, 117, 502], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [97, 527, 114, 542], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [92, 608, 110, 623], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [358, 383, 373, 397], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [448, 511, 466, 528], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [445, 588, 463, 603], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [424, 960, 441, 974], \"label\": \"solar panel hot spot\"}\n]\n```", "correct": false, "input_tokens": 1228, "output_tokens": 1203, "elapsed_seconds": 11.170142958988436, "metadata": {"match_method": "map", "num_predictions": 9, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7524752616882324, "attempts": 1, "retries": 0, "total_seconds": 11.189}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 192, "image": "oil-tank-detection_oiltank_72_jpg.rf.bfd5af54297ea9f409419db50cd04705.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [252, 329, 340, 409], \"label\": \"oil tank\"},\n {\"box_2d\": [361, 385, 454, 468], \"label\": \"oil tank\"},\n {\"box_2d\": [360, 509, 453, 591], \"label\": \"oil tank\"},\n {\"box_2d\": [479, 444, 577, 531], \"label\": \"oil tank\"},\n {\"box_2d\": [604, 509, 709, 598], \"label\": \"oil tank\"},\n {\"box_2d\": [476, 183, 575, 269], \"label\": \"oil tank\"},\n {\"box_2d\": [587, 231, 688, 319], \"label\": \"oil tank\"},\n {\"box_2d\": [703, 281, 809, 375], \"label\": \"oil tank\"},\n {\"box_2d\": [566, 43, 667, 133], \"label\": \"oil tank\"},\n {\"box_2d\": [680, 91, 786, 182], \"label\": \"oil tank\"},\n {\"box_2d\": [800, 140, 910, 232], \"label\": \"oil tank\"}\n]\n```", "correct": true, "input_tokens": 1217, "output_tokens": 1171, "elapsed_seconds": 13.547147332923487, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 13.6082}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 193, "image": "fall-detection_11_mp4-445_jpg.rf.ec9538d8514a0521c6f155cde47497f3.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [497, 612, 566, 712], \"label\": \"fallen person\"},\n {\"box_2d\": [485, 825, 538, 945], \"label\": \"fallen person\"},\n {\"box_2d\": [686, 227, 781, 359], \"label\": \"fallen person\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 588, "elapsed_seconds": 7.639635749976151, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 7.6548}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 194, "image": "IMG_0619_jpeg.rf.c3c23da72f8dbeb2815ccc4646178889.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [264, 307, 349, 376], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [348, 748, 434, 839], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [260, 477, 332, 543], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [254, 639, 324, 702], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [318, 543, 409, 610], \"label\": \"caramel corn jelly bean\"},\n {\"box_2d\": [347, 360, 449, 424], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [451, 494, 570, 579], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [481, 185, 610, 279], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [621, 344, 756, 476], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [485, 676, 574, 790], \"label\": \"peach jelly bean\"},\n {\"box_2d\": [599, 578, 750, 676], \"label\": \"peach jelly bean\"}\n]\n```", "correct": true, "input_tokens": 1230, "output_tokens": 6195, "elapsed_seconds": 57.40367533394601, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 2, "retries": 1, "total_seconds": 121.0897, "transient_errors": ["RemoteProtocolError"]}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 195, "image": "GP010243_JPG_jpg.rf.64d32b7106e99e9f954d84ee868d21ec.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [60, 353, 252, 387], \"label\": \"carrot\"},\n {\"box_2d\": [88, 386, 220, 462], \"label\": \"carrot\"},\n {\"box_2d\": [167, 373, 313, 417], \"label\": \"carrot\"},\n {\"box_2d\": [162, 392, 304, 443], \"label\": \"carrot\"},\n {\"box_2d\": [95, 446, 187, 488], \"label\": \"carrot\"},\n {\"box_2d\": [136, 470, 319, 571], \"label\": \"carrot\"},\n {\"box_2d\": [90, 495, 180, 616], \"label\": \"carrot\"},\n {\"box_2d\": [129, 562, 336, 607], \"label\": \"carrot\"},\n {\"box_2d\": [151, 528, 220, 681], \"label\": \"carrot\"},\n {\"box_2d\": [160, 621, 294, 686], \"label\": \"carrot\"},\n {\"box_2d\": [216, 614, 368, 694], \"label\": \"carrot\"},\n {\"box_2d\": [235, 618, 391, 703], \"label\": \"carrot\"},\n {\"box_2d\": [278, 678, 421, 709], \"label\": \"carrot\"},\n {\"box_2d\": [260, 474, 408, 608], \"label\": \"carrot\"},\n {\"box_2d\": [272, 451, 474, 490], \"label\": \"carrot\"},\n {\"box_2d\": [286, 484, 422, 511], \"label\": \"carrot\"},\n {\"box_2d\": [285, 344, 377, 453], \"label\": \"carrot\"},\n {\"box_2d\": [342, 408, 518, 444], \"label\": \"carrot\"},\n {\"box_2d\": [371, 390, 540, 417], \"label\": \"carrot\"},\n {\"box_2d\": [432, 343, 588, 394], \"label\": \"carrot\"},\n {\"box_2d\": [529, 343, 579, 473], \"label\": \"carrot\"},\n {\"box_2d\": [395, 488, 454, 631], \"label\": \"carrot\"},\n {\"box_2d\": [374, 558, 488, 684], \"label\": \"carrot\"},\n {\"box_2d\": [347, 595, 510, 626], \"label\": \"carrot\"},\n {\"box_2d\": [424, 567, 518, 603], \"label\": \"carrot\"},\n {\"box_2d\": [471, 416, 497, 577], \"label\": \"carrot\"},\n {\"box_2d\": [497, 423, 536, 572], \"label\": \"carrot\"},\n {\"box_2d\": [581, 482, 614, 684], \"label\": \"carrot\"},\n {\"box_2d\": [608, 473, 648, 653], \"label\": \"carrot\"},\n {\"box_2d\": [612, 384, 731, 444], \"label\": \"carrot\"},\n {\"box_2d\": [627, 384, 756, 543], \"label\": \"carrot\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 2736, "elapsed_seconds": 27.601856665918604, "metadata": {"match_method": "map", "num_predictions": 31, "num_ground_truth": 31, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 27.6266}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 196, "image": "AF6880-9_2025_NCPT-169_JPG_jpg.rf.ea0bce7069f12d5c1ba29710a0998228.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [58, 191, 148, 229], \"label\": \"potato\"},\n {\"box_2d\": [14, 239, 80, 267], \"label\": \"potato\"},\n {\"box_2d\": [78, 237, 150, 268], \"label\": \"potato\"},\n {\"box_2d\": [147, 232, 223, 267], \"label\": \"potato\"},\n {\"box_2d\": [401, 234, 462, 261], \"label\": \"potato\"},\n {\"box_2d\": [668, 231, 749, 263], \"label\": \"potato\"},\n {\"box_2d\": [30, 286, 91, 309], \"label\": \"potato\"},\n {\"box_2d\": [251, 274, 349, 312], \"label\": \"potato\"},\n {\"box_2d\": [427, 276, 518, 310], \"label\": \"potato\"},\n {\"box_2d\": [525, 275, 616, 312], \"label\": \"potato\"},\n {\"box_2d\": [642, 273, 728, 308], \"label\": \"potato\"},\n {\"box_2d\": [727, 275, 804, 305], \"label\": \"potato\"},\n {\"box_2d\": [58, 319, 157, 357], \"label\": \"potato\"},\n {\"box_2d\": [322, 321, 427, 362], \"label\": \"potato\"},\n {\"box_2d\": [454, 320, 535, 350], \"label\": \"potato\"},\n {\"box_2d\": [590, 316, 671, 352], \"label\": \"potato\"},\n {\"box_2d\": [919, 313, 1000, 346], \"label\": \"potato\"},\n {\"box_2d\": [9, 371, 88, 403], \"label\": \"potato\"},\n {\"box_2d\": [92, 368, 164, 401], \"label\": \"potato\"},\n {\"box_2d\": [162, 370, 236, 400], \"label\": \"potato\"},\n {\"box_2d\": [225, 361, 278, 384], \"label\": \"potato\"},\n {\"box_2d\": [275, 357, 389, 405], \"label\": \"potato\"},\n {\"box_2d\": [388, 365, 474, 398], \"label\": \"potato\"},\n {\"box_2d\": [472, 360, 577, 400], \"label\": \"potato\"},\n {\"box_2d\": [659, 364, 730, 394], \"label\": \"potato\"},\n {\"box_2d\": [726, 356, 827, 399], \"label\": \"potato\"},\n {\"box_2d\": [825, 353, 930, 394], \"label\": \"potato\"},\n {\"box_2d\": [924, 359, 1000, 397], \"label\": \"potato\"},\n {\"box_2d\": [72, 412, 146, 444], \"label\": \"potato\"},\n {\"box_2d\": [143, 408, 250, 449], \"label\": \"potato\"},\n {\"box_2d\": [248, 410, 344, 446], \"label\": \"potato\"},\n {\"box_2d\": [341, 412, 397, 437], \"label\": \"potato\"},\n {\"box_2d\": [399, 400, 498, 441], \"label\": \"potato\"},\n {\"box_2d\": [504, 401, 613, 439], \"label\": \"potato\"},\n {\"box_2d\": [654, 402, 748, 441], \"label\": \"potato\"},\n {\"box_2d\": [861, 397, 943, 435], \"label\": \"potato\"},\n {\"box_2d\": [937, 404, 999, 435], \"label\": \"potato\"},\n {\"box_2d\": [3, 454, 111, 498], \"label\": \"potato\"},\n {\"box_2d\": [110, 453, 206, 491], \"label\": \"potato\"},\n {\"box_2d\": [204, 452, 293, 491], \"label\": \"potato\"},\n {\"box_2d\": [289, 446, 364, 480], \"label\": \"potato\"},\n {\"box_2d\": [361, 448, 464, 490], \"label\": \"potato\"},\n {\"box_2d\": [514, 450, 590, 484], \"label\": \"potato\"},\n {\"box_2d\": [606, 446, 695, 485], \"label\": \"potato\"},\n {\"box_2d\": [51, 501, 138, 537], \"label\": \"potato\"},\n {\"box_2d\": [135, 501, 214, 533], \"label\": \"potato\"},\n {\"box_2d\": [212, 502, 281, 530], \"label\": \"potato\"},\n {\"box_2d\": [279, 499, 378, 538], \"label\": \"potato\"},\n {\"box_2d\": [485, 492, 599, 541], \"label\": \"potato\"},\n {\"box_2d\": [764, 488, 859, 529], \"label\": \"potato\"},\n {\"box_2d\": [856, 492, 932, 522], \"label\": \"potato\"},\n {\"box_2d\": [928, 489, 1000, 525], \"label\": \"potato\"},\n {\"box_2d\": [227, 543, 316, 574], \"label\": \"potato\"},\n {\"box_2d\": [383, 537, 484, 581], \"label\": \"potato\"},\n {\"box_2d\": [77, 585, 169, 622], \"label\": \"potato\"},\n {\"box_2d\": [237, 580, 353, 621], \"label\": \"potato\"},\n {\"box_2d\": [561, 585, 634, 613], \"label\": \"potato\"},\n {\"box_2d\": [635, 582, 728, 613], \"label\": \"potato\"},\n {\"box_2d\": [5, 633, 95, 666], \"label\": \"potato\"},\n {\"box_2d\": [92, 633, 177, 671], \"label\": \"potato\"},\n {\"box_2d\": [172, 634, 236, 661], \"label\": \"potato\"},\n {\"box_2d\": [192, 670, 294, 708], \"label\": \"potato\"},\n {\"box_2d\": [421, 669, 515, 704], \"label\": \"potato\"},\n {\"box_2d\": [568, 669, 633, 696], \"label\": \"potato\"},\n {\"box_2d\": [820, 664, 916, 699], \"label\": \"potato\"},\n {\"box_2d\": [578, 751, 682, 792], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 4653, "elapsed_seconds": 44.76808075001463, "metadata": {"match_method": "map", "num_predictions": 66, "num_ground_truth": 67, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9801980257034302, "attempts": 1, "retries": 0, "total_seconds": 45.2316}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 197, "image": "frame_0086_jpg.rf.5ae0e80356e2c5bb993a052e5023c7f1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [28, 340, 68, 363], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [30, 395, 70, 419], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [32, 452, 72, 476], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [39, 506, 78, 531], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [111, 328, 152, 353], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [114, 383, 156, 408], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [117, 439, 161, 466], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [123, 498, 168, 525], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [654, 299, 703, 326], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [657, 360, 709, 387], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [668, 423, 720, 452], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [681, 488, 735, 516], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [762, 296, 817, 321], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [769, 356, 825, 383], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [780, 420, 837, 448], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [794, 485, 851, 513], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [878, 293, 930, 319], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [884, 354, 938, 381], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [898, 417, 949, 444], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [911, 482, 962, 509], \"label\": \"soda bottle cap\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 1855, "elapsed_seconds": 19.76363654108718, "metadata": {"match_method": "map", "num_predictions": 20, "num_ground_truth": 20, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 20.1364}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 198, "image": "image_147_png_jpg.rf.fd3e0f5032b1ae386c027b1058ac751a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [121, 673, 402, 889], \"label\": \"tire size text\"},\n {\"box_2d\": [414, 77, 780, 210], \"label\": \"tire size text\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 484, "elapsed_seconds": 10.525417583063245, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 10.7973}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 199, "image": "fabric-defect_1080_jpg.rf.77a4ab03e25cfeeaaa1f6bbdcb3e7742.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [567, 489, 667, 727], \"label\": \"fabric cut\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 235, "elapsed_seconds": 4.220320624997839, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 4.2276}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 200, "image": "oil-tank-detection_oiltank_137_jpg.rf.be33343bf10652832014b855d080a80c.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [85, 463, 223, 586], \"label\": \"oil tank\"},\n {\"box_2d\": [238, 456, 377, 580], \"label\": \"oil tank\"},\n {\"box_2d\": [392, 449, 537, 576], \"label\": \"oil tank\"},\n {\"box_2d\": [550, 449, 682, 560], \"label\": \"oil tank\"},\n {\"box_2d\": [95, 598, 232, 720], \"label\": \"oil tank\"},\n {\"box_2d\": [244, 594, 386, 718], \"label\": \"oil tank\"},\n {\"box_2d\": [400, 588, 545, 716], \"label\": \"oil tank\"},\n {\"box_2d\": [555, 594, 687, 703], \"label\": \"oil tank\"},\n {\"box_2d\": [107, 731, 225, 836], \"label\": \"oil tank\"},\n {\"box_2d\": [233, 731, 357, 836], \"label\": \"oil tank\"},\n {\"box_2d\": [366, 728, 491, 836], \"label\": \"oil tank\"},\n {\"box_2d\": [118, 847, 194, 916], \"label\": \"oil tank\"},\n {\"box_2d\": [194, 847, 272, 918], \"label\": \"oil tank\"},\n {\"box_2d\": [276, 847, 355, 917], \"label\": \"oil tank\"},\n {\"box_2d\": [359, 846, 440, 917], \"label\": \"oil tank\"},\n {\"box_2d\": [444, 847, 526, 916], \"label\": \"oil tank\"},\n {\"box_2d\": [587, 843, 669, 914], \"label\": \"oil tank\"}\n]\n```", "correct": true, "input_tokens": 1217, "output_tokens": 1689, "elapsed_seconds": 16.34974562493153, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 17, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 16.4135}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 201, "image": "basketball-player-detection_boston-celtics-new-york-knicks-game-1-q1-05-13-05-09-0000_png.rf.31fd4573143b8c82031c8804c4754e40.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [223, 8, 398, 68], \"label\": \"referee\"},\n {\"box_2d\": [292, 158, 455, 205], \"label\": \"player\"},\n {\"box_2d\": [292, 158, 455, 205], \"label\": \"player in possession\"},\n {\"box_2d\": [324, 198, 350, 213], \"label\": \"basketball\"},\n {\"box_2d\": [359, 131, 610, 183], \"label\": \"player\"},\n {\"box_2d\": [408, 141, 440, 152], \"label\": \"jersey number\"},\n {\"box_2d\": [400, 224, 650, 278], \"label\": \"player\"},\n {\"box_2d\": [462, 241, 487, 251], \"label\": \"jersey number\"},\n {\"box_2d\": [306, 294, 490, 355], \"label\": \"player\"},\n {\"box_2d\": [332, 319, 353, 335], \"label\": \"jersey number\"},\n {\"box_2d\": [481, 483, 687, 529], \"label\": \"player\"},\n {\"box_2d\": [578, 467, 804, 531], \"label\": \"player\"},\n {\"box_2d\": [637, 472, 666, 483], \"label\": \"jersey number\"},\n {\"box_2d\": [676, 631, 907, 680], \"label\": \"referee\"},\n {\"box_2d\": [727, 650, 748, 664], \"label\": \"jersey number\"},\n {\"box_2d\": [197, 539, 378, 591], \"label\": \"player\"},\n {\"box_2d\": [234, 560, 257, 569], \"label\": \"jersey number\"},\n {\"box_2d\": [142, 531, 311, 569], \"label\": \"player\"},\n {\"box_2d\": [249, 657, 455, 695], \"label\": \"player\"},\n {\"box_2d\": [296, 670, 318, 679], \"label\": \"jersey number\"},\n {\"box_2d\": [177, 667, 357, 709], \"label\": \"player\"},\n {\"box_2d\": [197, 744, 376, 787], \"label\": \"referee\"},\n {\"box_2d\": [193, 712, 253, 746], \"label\": \"basket rim\"}\n]\n```", "correct": false, "input_tokens": 1250, "output_tokens": 2546, "elapsed_seconds": 24.784086459083483, "metadata": {"match_method": "map", "num_predictions": 23, "num_ground_truth": 23, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.769519031047821, "attempts": 1, "retries": 0, "total_seconds": 24.8807}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 202, "image": "z4517190790071_c6f2ede212488ea95f254bbe631608fc_jpg.rf.f7f6570fcaaac50f965457b35ee9278d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [158, 349, 263, 506], \"label\": \"10 poker chip\"},\n {\"box_2d\": [228, 586, 341, 753], \"label\": \"50 poker chip\"},\n {\"box_2d\": [282, 240, 396, 405], \"label\": \"20 poker chip\"},\n {\"box_2d\": [292, 439, 409, 606], \"label\": \"20 poker chip\"},\n {\"box_2d\": [362, 102, 485, 274], \"label\": \"100 poker chip\"},\n {\"box_2d\": [457, 187, 586, 365], \"label\": \"10 poker chip\"},\n {\"box_2d\": [421, 357, 545, 530], \"label\": \"20 poker chip\"},\n {\"box_2d\": [425, 605, 553, 787], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [344, 769, 466, 947], \"label\": \"5000 poker chip\"},\n {\"box_2d\": [549, 25, 687, 209], \"label\": \"50 poker chip\"},\n {\"box_2d\": [574, 248, 715, 433], \"label\": \"20 poker chip\"},\n {\"box_2d\": [526, 456, 663, 639], \"label\": \"20 poker chip\"},\n {\"box_2d\": [549, 697, 690, 888], \"label\": \"500 poker chip\"},\n {\"box_2d\": [705, 395, 863, 593], \"label\": \"50 poker chip\"},\n {\"box_2d\": [692, 601, 848, 800], \"label\": \"50 poker chip\"}\n]\n```", "correct": true, "input_tokens": 1246, "output_tokens": 1275, "elapsed_seconds": 29.845247625024058, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 30.0437}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 203, "image": "0000272_05500_d_0000012_jpg.rf.4ba2cfdc69b70f306855d444db49f509.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [871, 453, 1000, 518], \"label\": \"car\"},\n {\"box_2d\": [593, 475, 740, 526], \"label\": \"car\"},\n {\"box_2d\": [614, 581, 732, 645], \"label\": \"car\"},\n {\"box_2d\": [424, 481, 518, 520], \"label\": \"car\"},\n {\"box_2d\": [283, 487, 362, 521], \"label\": \"car\"},\n {\"box_2d\": [231, 528, 283, 555], \"label\": \"car\"},\n {\"box_2d\": [185, 482, 250, 506], \"label\": \"van\"},\n {\"box_2d\": [172, 585, 219, 613], \"label\": \"car\"},\n {\"box_2d\": [75, 561, 108, 582], \"label\": \"car\"},\n {\"box_2d\": [34, 558, 72, 577], \"label\": \"car\"},\n {\"box_2d\": [26, 519, 56, 536], \"label\": \"car\"},\n {\"box_2d\": [5, 555, 31, 570], \"label\": \"car\"},\n {\"box_2d\": [110, 424, 159, 442], \"label\": \"van\"},\n {\"box_2d\": [71, 425, 118, 446], \"label\": \"van\"},\n {\"box_2d\": [32, 431, 90, 452], \"label\": \"truck\"},\n {\"box_2d\": [260, 566, 320, 589], \"label\": \"awning tricycle\"},\n {\"box_2d\": [330, 383, 391, 403], \"label\": \"awning tricycle\"},\n {\"box_2d\": [297, 385, 344, 404], \"label\": \"tricycle\"},\n {\"box_2d\": [209, 400, 260, 422], \"label\": \"awning tricycle\"},\n {\"box_2d\": [749, 27, 833, 81], \"label\": \"car\"},\n {\"box_2d\": [772, 351, 847, 369], \"label\": \"person\"},\n {\"box_2d\": [712, 402, 777, 420], \"label\": \"person\"},\n {\"box_2d\": [741, 402, 798, 419], \"label\": \"bike\"},\n {\"box_2d\": [420, 413, 473, 425], \"label\": \"person\"},\n {\"box_2d\": [490, 671, 549, 689], \"label\": \"person\"},\n {\"box_2d\": [335, 608, 376, 622], \"label\": \"person\"},\n {\"box_2d\": [348, 608, 384, 622], \"label\": \"motorcycle\"},\n {\"box_2d\": [426, 846, 461, 870], \"label\": \"motorcycle\"},\n {\"box_2d\": [134, 448, 165, 455], \"label\": \"person\"},\n {\"box_2d\": [203, 459, 240, 470], \"label\": \"person\"}\n]\n```", "correct": false, "input_tokens": 1251, "output_tokens": 2577, "elapsed_seconds": 27.312626959057525, "metadata": {"match_method": "map", "num_predictions": 30, "num_ground_truth": 48, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.4106660485267639, "attempts": 1, "retries": 0, "total_seconds": 27.3595}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 204, "image": "IMG_20251126_160326_jpg.rf.31a216199c4280d746f5865a68a63ce2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 476, 195, 554], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [0, 630, 180, 711], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [690, 34, 784, 105], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [663, 118, 953, 195], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [680, 242, 771, 314], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [657, 309, 773, 385], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [670, 382, 767, 450], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [665, 463, 762, 532], \"label\": \"white standard price tag\"},\n {\"box_2d\": [643, 591, 925, 667], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [658, 690, 754, 760], \"label\": \"white standard price tag\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 1493, "elapsed_seconds": 30.31710420898162, "metadata": {"match_method": "map", "num_predictions": 10, "num_ground_truth": 10, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 30.6003}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 205, "image": "54_jpg.rf.3f4031b98a1a0622e63a0c84142db646.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [48, 108, 118, 353], \"label\": \"blood sample tube\"},\n {\"box_2d\": [17, 540, 91, 785], \"label\": \"blood sample tube\"},\n {\"box_2d\": [43, 289, 326, 452], \"label\": \"blood sample tube\"},\n {\"box_2d\": [49, 451, 241, 675], \"label\": \"blood sample tube\"},\n {\"box_2d\": [72, 651, 376, 788], \"label\": \"blood sample tube\"},\n {\"box_2d\": [52, 781, 375, 839], \"label\": \"blood sample tube\"},\n {\"box_2d\": [154, 825, 482, 881], \"label\": \"blood sample tube\"},\n {\"box_2d\": [172, 319, 419, 513], \"label\": \"blood sample tube\"},\n {\"box_2d\": [189, 558, 458, 738], \"label\": \"blood sample tube\"},\n {\"box_2d\": [232, 643, 502, 822], \"label\": \"blood sample tube\"},\n {\"box_2d\": [311, 222, 631, 280], \"label\": \"blood sample tube\"},\n {\"box_2d\": [400, 109, 697, 244], \"label\": \"blood sample tube\"},\n {\"box_2d\": [381, 304, 684, 429], \"label\": \"blood sample tube\"},\n {\"box_2d\": [298, 371, 600, 496], \"label\": \"blood sample tube\"},\n {\"box_2d\": [412, 372, 709, 515], \"label\": \"blood sample tube\"},\n {\"box_2d\": [336, 474, 613, 639], \"label\": \"blood sample tube\"},\n {\"box_2d\": [427, 616, 608, 849], \"label\": \"blood sample tube\"},\n {\"box_2d\": [511, 651, 694, 887], \"label\": \"blood sample tube\"},\n {\"box_2d\": [542, 554, 725, 787], \"label\": \"blood sample tube\"},\n {\"box_2d\": [687, 117, 749, 361], \"label\": \"blood sample tube\"},\n {\"box_2d\": [677, 415, 742, 661], \"label\": \"blood sample tube\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 2368, "elapsed_seconds": 19.498369666049257, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 21, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 19.5189}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 206, "image": "car-part-detection_Car-damages-100_png_jpg.rf.662e4c271efc89eea96c10e14886a134.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [388, 120, 428, 162], \"label\": \"headlight\"},\n {\"box_2d\": [416, 103, 576, 177], \"label\": \"front bumper\"},\n {\"box_2d\": [322, 138, 391, 295], \"label\": \"hood\"},\n {\"box_2d\": [313, 320, 365, 345], \"label\": \"mirror\"},\n {\"box_2d\": [228, 341, 362, 534], \"label\": \"front window\"},\n {\"box_2d\": [228, 548, 353, 748], \"label\": \"back window\"},\n {\"box_2d\": [224, 298, 581, 542], \"label\": \"front door\"},\n {\"box_2d\": [224, 522, 591, 767], \"label\": \"back door\"},\n {\"box_2d\": [367, 878, 435, 955], \"label\": \"tail light\"},\n {\"box_2d\": [424, 845, 609, 962], \"label\": \"back bumper\"}\n]\n```", "correct": false, "input_tokens": 1273, "output_tokens": 1096, "elapsed_seconds": 12.245959124993533, "metadata": {"match_method": "map", "num_predictions": 10, "num_ground_truth": 13, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7499998807907104, "attempts": 1, "retries": 0, "total_seconds": 12.2575}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 207, "image": "11_jpeg_jpg.rf.39329fe23320cf7bc33af6b9a57582d1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [77, 259, 181, 340], \"label\": \"potato\"},\n {\"box_2d\": [88, 645, 183, 738], \"label\": \"potato\"},\n {\"box_2d\": [298, 35, 421, 134], \"label\": \"potato\"},\n {\"box_2d\": [297, 346, 391, 434], \"label\": \"potato\"},\n {\"box_2d\": [323, 981, 405, 1000], \"label\": \"potato\"},\n {\"box_2d\": [499, 201, 658, 316], \"label\": \"potato\"},\n {\"box_2d\": [487, 405, 593, 499], \"label\": \"potato\"},\n {\"box_2d\": [503, 619, 594, 701], \"label\": \"potato\"},\n {\"box_2d\": [502, 790, 601, 879], \"label\": \"potato\"},\n {\"box_2d\": [715, 0, 807, 33], \"label\": \"potato\"},\n {\"box_2d\": [698, 323, 829, 434], \"label\": \"potato\"},\n {\"box_2d\": [654, 511, 816, 622], \"label\": \"potato\"},\n {\"box_2d\": [710, 703, 810, 783], \"label\": \"potato\"},\n {\"box_2d\": [703, 813, 809, 882], \"label\": \"potato\"},\n {\"box_2d\": [914, 315, 1000, 422], \"label\": \"potato\"},\n {\"box_2d\": [898, 744, 1000, 838], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1240, "output_tokens": 2331, "elapsed_seconds": 21.801303874934092, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 21.8302}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 208, "image": "oil-tank-detection_oiltank_3_jpg.rf.be0eb144cee15c2f85755ead464dc286.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [102, 71, 234, 176], \"label\": \"oil tank\"},\n {\"box_2d\": [97, 228, 229, 332], \"label\": \"oil tank\"},\n {\"box_2d\": [281, 71, 416, 177], \"label\": \"oil tank\"},\n {\"box_2d\": [275, 229, 410, 334], \"label\": \"oil tank\"},\n {\"box_2d\": [89, 456, 220, 562], \"label\": \"oil tank\"},\n {\"box_2d\": [82, 611, 214, 717], \"label\": \"oil tank\"},\n {\"box_2d\": [268, 461, 402, 567], \"label\": \"oil tank\"},\n {\"box_2d\": [262, 618, 396, 723], \"label\": \"oil tank\"},\n {\"box_2d\": [539, 132, 629, 200], \"label\": \"oil tank\"},\n {\"box_2d\": [534, 225, 625, 293], \"label\": \"oil tank\"}\n]\n```", "correct": true, "input_tokens": 1217, "output_tokens": 1195, "elapsed_seconds": 11.473299209028482, "metadata": {"match_method": "map", "num_predictions": 10, "num_ground_truth": 10, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 11.5346}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 209, "image": "tile_558_jpg.rf.98aa48e6c54062f1e67b01de665e6887.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [345, 247, 378, 324], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [311, 568, 335, 604], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [75, 885, 98, 924], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [603, 838, 621, 892], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [623, 340, 665, 421], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [869, 155, 902, 226], \"label\": \"ship in SAR satellite image\"}\n]\n```", "correct": true, "input_tokens": 1229, "output_tokens": 1125, "elapsed_seconds": 11.733906458015554, "metadata": {"match_method": "map", "num_predictions": 6, "num_ground_truth": 6, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 11.7714}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 210, "image": "20230224_110122_jpg.rf.94c8b9d6caaec8593c315337e30857d7.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [590, 196, 650, 285], \"label\": \"crack\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 245, "elapsed_seconds": 4.611966750002466, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 4.6256}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 211, "image": "IMG_20220316_144550_jpg.rf.92c6d74a9ccc9c6c90918613d40eb144.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [551, 169, 1000, 512], \"label\": \"five of hearts\"},\n {\"box_2d\": [246, 289, 653, 522], \"label\": \"six of hearts\"},\n {\"box_2d\": [443, 405, 892, 668], \"label\": \"seven of hearts\"},\n {\"box_2d\": [283, 514, 670, 685], \"label\": \"eight of hearts\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 734, "elapsed_seconds": 8.197097915923223, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 8.2207}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 212, "image": "wood-log-detection_006_png_jpg.rf.45786538ddac406dd0014f409b1d4caa.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [94, 203, 139, 261], \"label\": \"log cross-section\"},\n {\"box_2d\": [184, 239, 212, 273], \"label\": \"log cross-section\"},\n {\"box_2d\": [206, 322, 231, 352], \"label\": \"log cross-section\"},\n {\"box_2d\": [88, 292, 136, 359], \"label\": \"log cross-section\"},\n {\"box_2d\": [122, 389, 156, 434], \"label\": \"log cross-section\"},\n {\"box_2d\": [192, 447, 222, 481], \"label\": \"log cross-section\"},\n {\"box_2d\": [56, 452, 120, 533], \"label\": \"log cross-section\"},\n {\"box_2d\": [120, 477, 169, 550], \"label\": \"log cross-section\"},\n {\"box_2d\": [56, 566, 105, 630], \"label\": \"log cross-section\"},\n {\"box_2d\": [81, 623, 123, 678], \"label\": \"log cross-section\"},\n {\"box_2d\": [125, 558, 156, 594], \"label\": \"log cross-section\"},\n {\"box_2d\": [119, 595, 155, 644], \"label\": \"log cross-section\"},\n {\"box_2d\": [148, 570, 184, 619], \"label\": \"log cross-section\"},\n {\"box_2d\": [108, 664, 144, 712], \"label\": \"log cross-section\"},\n {\"box_2d\": [162, 631, 200, 686], \"label\": \"log cross-section\"},\n {\"box_2d\": [161, 723, 203, 778], \"label\": \"log cross-section\"}\n]\n```", "correct": true, "input_tokens": 1228, "output_tokens": 1847, "elapsed_seconds": 17.65848045796156, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 17.6755}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 213, "image": "Container_864_jpg.rf.9627e6adc1ff8e75c7d8ca9f8cc06311.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [112, 541, 389, 564], \"label\": \"shipping container number\"},\n {\"box_2d\": [95, 602, 195, 618], \"label\": \"container ISO type code\"}\n]\n```", "correct": true, "input_tokens": 1232, "output_tokens": 1093, "elapsed_seconds": 12.891581999952905, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 12.9104}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 214, "image": "uav20221018_ixfZ_3857_14_png.rf.64d1ce8897202b1ab5141c12ebcde0db.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 159, 41, 229], \"label\": \"banana tree\"},\n {\"box_2d\": [45, 246, 81, 281], \"label\": \"banana tree\"},\n {\"box_2d\": [86, 173, 129, 211], \"label\": \"banana tree\"},\n {\"box_2d\": [122, 246, 169, 289], \"label\": \"banana tree\"},\n {\"box_2d\": [173, 171, 214, 219], \"label\": \"banana tree\"},\n {\"box_2d\": [213, 241, 260, 281], \"label\": \"banana tree\"},\n {\"box_2d\": [262, 176, 300, 215], \"label\": \"banana tree\"},\n {\"box_2d\": [307, 242, 344, 278], \"label\": \"banana tree\"},\n {\"box_2d\": [344, 175, 401, 232], \"label\": \"banana tree\"},\n {\"box_2d\": [391, 250, 426, 286], \"label\": \"banana tree\"},\n {\"box_2d\": [430, 180, 483, 222], \"label\": \"banana tree\"},\n {\"box_2d\": [472, 248, 522, 294], \"label\": \"banana tree\"},\n {\"box_2d\": [516, 182, 562, 227], \"label\": \"banana tree\"},\n {\"box_2d\": [563, 249, 610, 290], \"label\": \"banana tree\"},\n {\"box_2d\": [600, 181, 653, 233], \"label\": \"banana tree\"},\n {\"box_2d\": [641, 247, 706, 297], \"label\": \"banana tree\"},\n {\"box_2d\": [685, 169, 745, 238], \"label\": \"banana tree\"},\n {\"box_2d\": [733, 243, 787, 295], \"label\": \"banana tree\"},\n {\"box_2d\": [784, 177, 833, 232], \"label\": \"banana tree\"},\n {\"box_2d\": [826, 253, 875, 297], \"label\": \"banana tree\"},\n {\"box_2d\": [867, 178, 922, 238], \"label\": \"banana tree\"},\n {\"box_2d\": [912, 255, 969, 305], \"label\": \"banana tree\"},\n {\"box_2d\": [954, 185, 1000, 240], \"label\": \"banana tree\"},\n {\"box_2d\": [2, 469, 77, 540], \"label\": \"banana tree\"},\n {\"box_2d\": [54, 555, 104, 597], \"label\": \"banana tree\"},\n {\"box_2d\": [95, 468, 166, 535], \"label\": \"banana tree\"},\n {\"box_2d\": [139, 544, 198, 603], \"label\": \"banana tree\"},\n {\"box_2d\": [169, 474, 250, 543], \"label\": \"banana tree\"},\n {\"box_2d\": [231, 558, 273, 594], \"label\": \"banana tree\"},\n {\"box_2d\": [273, 488, 325, 534], \"label\": \"banana tree\"},\n {\"box_2d\": [312, 556, 366, 596], \"label\": \"banana tree\"},\n {\"box_2d\": [352, 481, 429, 544], \"label\": \"banana tree\"},\n {\"box_2d\": [400, 552, 444, 596], \"label\": \"banana tree\"},\n {\"box_2d\": [436, 484, 498, 545], \"label\": \"banana tree\"},\n {\"box_2d\": [484, 565, 535, 604], \"label\": \"banana tree\"},\n {\"box_2d\": [523, 476, 588, 540], \"label\": \"banana tree\"},\n {\"box_2d\": [578, 562, 623, 603], \"label\": \"banana tree\"},\n {\"box_2d\": [614, 485, 681, 548], \"label\": \"banana tree\"},\n {\"box_2d\": [658, 550, 709, 606], \"label\": \"banana tree\"},\n {\"box_2d\": [688, 480, 773, 567], \"label\": \"banana tree\"},\n {\"box_2d\": [747, 554, 795, 609], \"label\": \"banana tree\"},\n {\"box_2d\": [793, 481, 860, 545], \"label\": \"banana tree\"},\n {\"box_2d\": [835, 565, 874, 605], \"label\": \"banana tree\"},\n {\"box_2d\": [869, 489, 932, 548], \"label\": \"banana tree\"},\n {\"box_2d\": [919, 571, 965, 611], \"label\": \"banana tree\"},\n {\"box_2d\": [961, 491, 1000, 551], \"label\": \"banana tree\"},\n {\"box_2d\": [765, 855, 822, 916], \"label\": \"banana tree\"},\n {\"box_2d\": [810, 780, 875, 841], \"label\": \"banana tree\"},\n {\"box_2d\": [859, 863, 899, 904], \"label\": \"banana tree\"},\n {\"box_2d\": [900, 792, 965, 850], \"label\": \"banana tree\"},\n {\"box_2d\": [938, 865, 996, 916], \"label\": \"banana tree\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 3081, "elapsed_seconds": 26.263427458005026, "metadata": {"match_method": "map", "num_predictions": 51, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9004018306732178, "attempts": 1, "retries": 0, "total_seconds": 26.3077}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 215, "image": "1704192313045_jpg.rf.f68f24072cd4a5061cddf9521b0b617a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [264, 603, 336, 686], \"label\": \"chickpea grain\"},\n {\"box_2d\": [431, 294, 514, 366], \"label\": \"chickpea grain\"},\n {\"box_2d\": [502, 434, 566, 511], \"label\": \"chickpea grain\"},\n {\"box_2d\": [591, 731, 669, 808], \"label\": \"chickpea grain\"},\n {\"box_2d\": [698, 228, 780, 300], \"label\": \"chickpea grain\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 535, "elapsed_seconds": 5.803164416924119, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 5.8165}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 216, "image": "A15311-6Ctrv_2025_NCPT-174_JPG_jpg.rf.fc9ee0cac2da2d059bc0db453be0c788.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [18, 170, 65, 190], \"label\": \"potato\"},\n {\"box_2d\": [108, 156, 202, 193], \"label\": \"potato\"},\n {\"box_2d\": [202, 162, 268, 192], \"label\": \"potato\"},\n {\"box_2d\": [105, 206, 187, 237], \"label\": \"potato\"},\n {\"box_2d\": [429, 201, 497, 230], \"label\": \"potato\"},\n {\"box_2d\": [569, 198, 646, 230], \"label\": \"potato\"},\n {\"box_2d\": [13, 254, 68, 277], \"label\": \"potato\"},\n {\"box_2d\": [73, 246, 156, 281], \"label\": \"potato\"},\n {\"box_2d\": [182, 242, 273, 281], \"label\": \"potato\"},\n {\"box_2d\": [376, 244, 455, 276], \"label\": \"potato\"},\n {\"box_2d\": [497, 243, 585, 279], \"label\": \"potato\"},\n {\"box_2d\": [804, 242, 886, 272], \"label\": \"potato\"},\n {\"box_2d\": [9, 292, 92, 325], \"label\": \"potato\"},\n {\"box_2d\": [95, 292, 149, 319], \"label\": \"potato\"},\n {\"box_2d\": [149, 289, 229, 321], \"label\": \"potato\"},\n {\"box_2d\": [391, 279, 519, 325], \"label\": \"potato\"},\n {\"box_2d\": [516, 294, 549, 312], \"label\": \"potato\"},\n {\"box_2d\": [549, 291, 607, 316], \"label\": \"potato\"},\n {\"box_2d\": [609, 289, 673, 314], \"label\": \"potato\"},\n {\"box_2d\": [690, 285, 763, 315], \"label\": \"potato\"},\n {\"box_2d\": [9, 340, 64, 365], \"label\": \"potato\"},\n {\"box_2d\": [64, 333, 154, 369], \"label\": \"potato\"},\n {\"box_2d\": [182, 319, 303, 367], \"label\": \"potato\"},\n {\"box_2d\": [303, 331, 400, 367], \"label\": \"potato\"},\n {\"box_2d\": [446, 327, 549, 367], \"label\": \"potato\"},\n {\"box_2d\": [563, 328, 655, 368], \"label\": \"potato\"},\n {\"box_2d\": [655, 334, 714, 359], \"label\": \"potato\"},\n {\"box_2d\": [33, 378, 108, 408], \"label\": \"potato\"},\n {\"box_2d\": [108, 375, 189, 410], \"label\": \"potato\"},\n {\"box_2d\": [189, 376, 270, 410], \"label\": \"potato\"},\n {\"box_2d\": [270, 369, 374, 410], \"label\": \"potato\"},\n {\"box_2d\": [484, 364, 598, 409], \"label\": \"potato\"},\n {\"box_2d\": [622, 368, 712, 405], \"label\": \"potato\"},\n {\"box_2d\": [719, 369, 804, 405], \"label\": \"potato\"},\n {\"box_2d\": [809, 374, 881, 401], \"label\": \"potato\"},\n {\"box_2d\": [75, 420, 156, 454], \"label\": \"potato\"},\n {\"box_2d\": [156, 416, 264, 458], \"label\": \"potato\"},\n {\"box_2d\": [281, 414, 407, 456], \"label\": \"potato\"},\n {\"box_2d\": [411, 415, 508, 452], \"label\": \"potato\"},\n {\"box_2d\": [611, 414, 690, 450], \"label\": \"potato\"},\n {\"box_2d\": [121, 459, 242, 500], \"label\": \"potato\"},\n {\"box_2d\": [312, 453, 435, 502], \"label\": \"potato\"},\n {\"box_2d\": [435, 463, 503, 494], \"label\": \"potato\"},\n {\"box_2d\": [598, 455, 734, 497], \"label\": \"potato\"},\n {\"box_2d\": [734, 448, 842, 494], \"label\": \"potato\"},\n {\"box_2d\": [932, 457, 1000, 488], \"label\": \"potato\"},\n {\"box_2d\": [9, 514, 68, 538], \"label\": \"potato\"},\n {\"box_2d\": [367, 501, 499, 544], \"label\": \"potato\"},\n {\"box_2d\": [826, 493, 952, 545], \"label\": \"potato\"},\n {\"box_2d\": [4, 557, 88, 589], \"label\": \"potato\"},\n {\"box_2d\": [400, 550, 499, 583], \"label\": \"potato\"},\n {\"box_2d\": [833, 544, 921, 578], \"label\": \"potato\"},\n {\"box_2d\": [919, 549, 974, 574], \"label\": \"potato\"},\n {\"box_2d\": [4, 600, 84, 631], \"label\": \"potato\"},\n {\"box_2d\": [156, 589, 286, 646], \"label\": \"potato\"},\n {\"box_2d\": [508, 591, 640, 639], \"label\": \"potato\"},\n {\"box_2d\": [705, 594, 774, 624], \"label\": \"potato\"},\n {\"box_2d\": [24, 631, 149, 680], \"label\": \"potato\"},\n {\"box_2d\": [453, 636, 554, 674], \"label\": \"potato\"},\n {\"box_2d\": [930, 722, 996, 749], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 4110, "elapsed_seconds": 38.70194541604724, "metadata": {"match_method": "map", "num_predictions": 60, "num_ground_truth": 60, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 39.167}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 217, "image": "signatures_image_15_png_jpg.rf.6b815d82f5451daedc9c9077d66f9599.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [243, 75, 290, 400], \"label\": \"signature\"},\n {\"box_2d\": [230, 464, 281, 825], \"label\": \"signature\"},\n {\"box_2d\": [354, 73, 495, 434], \"label\": \"signature\"},\n {\"box_2d\": [413, 511, 479, 751], \"label\": \"signature\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 479, "elapsed_seconds": 7.283757874974981, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 7.3647}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 218, "image": "lot222_JPEG_jpg.rf.50df16e1f4326083fe341ec20a62dbe4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [168, 502, 187, 543], \"label\": \"chicory seed\"},\n {\"box_2d\": [170, 550, 196, 590], \"label\": \"chicory seed\"},\n {\"box_2d\": [172, 461, 198, 498], \"label\": \"chicory seed\"},\n {\"box_2d\": [181, 403, 208, 444], \"label\": \"chicory seed\"},\n {\"box_2d\": [183, 544, 210, 581], \"label\": \"chicory seed\"},\n {\"box_2d\": [190, 488, 209, 531], \"label\": \"chicory seed\"},\n {\"box_2d\": [190, 571, 226, 606], \"label\": \"chicory seed\"},\n {\"box_2d\": [190, 605, 221, 643], \"label\": \"chicory seed\"},\n {\"box_2d\": [194, 442, 232, 464], \"label\": \"chicory seed\"},\n {\"box_2d\": [201, 408, 233, 444], \"label\": \"chicory seed\"},\n {\"box_2d\": [201, 469, 240, 490], \"label\": \"chicory seed\"},\n {\"box_2d\": [201, 657, 235, 691], \"label\": \"chicory seed\"},\n {\"box_2d\": [208, 340, 227, 381], \"label\": \"chicory seed\"},\n {\"box_2d\": [217, 534, 252, 569], \"label\": \"chicory seed\"},\n {\"box_2d\": [218, 695, 252, 731], \"label\": \"chicory seed\"},\n {\"box_2d\": [224, 640, 249, 684], \"label\": \"chicory seed\"},\n {\"box_2d\": [225, 591, 263, 616], \"label\": \"chicory seed\"},\n {\"box_2d\": [229, 370, 248, 412], \"label\": \"chicory seed\"},\n {\"box_2d\": [231, 489, 265, 526], \"label\": \"chicory seed\"},\n {\"box_2d\": [239, 307, 268, 347], \"label\": \"chicory seed\"},\n {\"box_2d\": [243, 466, 280, 496], \"label\": \"chicory seed\"},\n {\"box_2d\": [245, 502, 274, 540], \"label\": \"chicory seed\"},\n {\"box_2d\": [246, 279, 282, 306], \"label\": \"chicory seed\"},\n {\"box_2d\": [247, 425, 288, 456], \"label\": \"chicory seed\"},\n {\"box_2d\": [248, 372, 266, 415], \"label\": \"chicory seed\"},\n {\"box_2d\": [248, 650, 272, 688], \"label\": \"chicory seed\"},\n {\"box_2d\": [248, 695, 270, 735], \"label\": \"chicory seed\"},\n {\"box_2d\": [250, 733, 290, 755], \"label\": \"chicory seed\"},\n {\"box_2d\": [252, 536, 279, 577], \"label\": \"chicory seed\"},\n {\"box_2d\": [258, 758, 299, 788], \"label\": \"chicory seed\"},\n {\"box_2d\": [264, 330, 301, 356], \"label\": \"chicory seed\"},\n {\"box_2d\": [264, 355, 306, 383], \"label\": \"chicory seed\"},\n {\"box_2d\": [264, 578, 285, 621], \"label\": \"chicory seed\"},\n {\"box_2d\": [265, 634, 290, 675], \"label\": \"chicory seed\"},\n {\"box_2d\": [267, 396, 307, 422], \"label\": \"chicory seed\"},\n {\"box_2d\": [269, 243, 307, 276], \"label\": \"chicory seed\"},\n {\"box_2d\": [269, 701, 309, 725], \"label\": \"chicory seed\"},\n {\"box_2d\": [272, 486, 292, 528], \"label\": \"chicory seed\"},\n {\"box_2d\": [274, 679, 312, 700], \"label\": \"chicory seed\"},\n {\"box_2d\": [275, 439, 301, 479], \"label\": \"chicory seed\"},\n {\"box_2d\": [277, 280, 303, 319], \"label\": \"chicory seed\"},\n {\"box_2d\": [279, 544, 314, 577], \"label\": \"chicory seed\"},\n {\"box_2d\": [281, 512, 306, 552], \"label\": \"chicory seed\"},\n {\"box_2d\": [281, 718, 318, 748], \"label\": \"chicory seed\"},\n {\"box_2d\": [290, 742, 321, 777], \"label\": \"chicory seed\"},\n {\"box_2d\": [293, 442, 320, 483], \"label\": \"chicory seed\"},\n {\"box_2d\": [295, 304, 325, 343], \"label\": \"chicory seed\"},\n {\"box_2d\": [300, 613, 338, 640], \"label\": \"chicory seed\"},\n {\"box_2d\": [303, 497, 322, 540], \"label\": \"chicory seed\"},\n {\"box_2d\": [306, 258, 330, 298], \"label\": \"chicory seed\"},\n {\"box_2d\": [310, 395, 337, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [312, 698, 347, 735], \"label\": \"chicory seed\"},\n {\"box_2d\": [314, 210, 335, 250], \"label\": \"chicory seed\"},\n {\"box_2d\": [314, 356, 333, 399], \"label\": \"chicory seed\"},\n {\"box_2d\": [317, 755, 338, 797], \"label\": \"chicory seed\"},\n {\"box_2d\": [318, 535, 338, 578], \"label\": \"chicory seed\"},\n {\"box_2d\": [320, 442, 360, 467], \"label\": \"chicory seed\"},\n {\"box_2d\": [321, 465, 361, 493], \"label\": \"chicory seed\"},\n {\"box_2d\": [322, 312, 358, 343], \"label\": \"chicory seed\"},\n {\"box_2d\": [324, 283, 353, 322], \"label\": \"chicory seed\"},\n {\"box_2d\": [324, 716, 359, 752], \"label\": \"chicory seed\"},\n {\"box_2d\": [326, 500, 347, 542], \"label\": \"chicory seed\"},\n {\"box_2d\": [333, 214, 353, 256], \"label\": \"chicory seed\"},\n {\"box_2d\": [333, 795, 359, 835], \"label\": \"chicory seed\"},\n {\"box_2d\": [337, 616, 369, 649], \"label\": \"chicory seed\"},\n {\"box_2d\": [338, 490, 378, 512], \"label\": \"chicory seed\"},\n {\"box_2d\": [338, 540, 369, 583], \"label\": \"chicory seed\"},\n {\"box_2d\": [345, 245, 377, 285], \"label\": \"chicory seed\"},\n {\"box_2d\": [347, 343, 385, 371], \"label\": \"chicory seed\"},\n {\"box_2d\": [347, 364, 381, 396], \"label\": \"chicory seed\"},\n {\"box_2d\": [347, 424, 382, 459], \"label\": \"chicory seed\"},\n {\"box_2d\": [353, 300, 382, 338], \"label\": \"chicory seed\"},\n {\"box_2d\": [355, 819, 391, 853], \"label\": \"chicory seed\"},\n {\"box_2d\": [358, 268, 394, 299], \"label\": \"chicory seed\"},\n {\"box_2d\": [361, 700, 397, 734], \"label\": \"chicory seed\"},\n {\"box_2d\": [363, 730, 385, 773], \"label\": \"chicory seed\"},\n {\"box_2d\": [363, 801, 403, 822], \"label\": \"chicory seed\"},\n {\"box_2d\": [366, 680, 404, 709], \"label\": \"chicory seed\"},\n {\"box_2d\": [372, 379, 394, 419], \"label\": \"chicory seed\"},\n {\"box_2d\": [374, 279, 409, 310], \"label\": \"chicory seed\"},\n {\"box_2d\": [375, 471, 406, 508], \"label\": \"chicory seed\"},\n {\"box_2d\": [375, 614, 399, 657], \"label\": \"chicory seed\"},\n {\"box_2d\": [381, 366, 416, 396], \"label\": \"chicory seed\"},\n {\"box_2d\": [388, 405, 416, 443], \"label\": \"chicory seed\"},\n {\"box_2d\": [395, 218, 425, 255], \"label\": \"chicory seed\"},\n {\"box_2d\": [395, 293, 434, 321], \"label\": \"chicory seed\"},\n {\"box_2d\": [395, 532, 434, 557], \"label\": \"chicory seed\"},\n {\"box_2d\": [396, 767, 429, 804], \"label\": \"chicory seed\"},\n {\"box_2d\": [398, 254, 435, 288], \"label\": \"chicory seed\"},\n {\"box_2d\": [399, 656, 421, 697], \"label\": \"chicory seed\"},\n {\"box_2d\": [400, 309, 432, 345], \"label\": \"chicory seed\"},\n {\"box_2d\": [405, 720, 428, 763], \"label\": \"chicory seed\"},\n {\"box_2d\": [406, 418, 446, 446], \"label\": \"chicory seed\"},\n {\"box_2d\": [408, 435, 446, 467], \"label\": \"chicory seed\"},\n {\"box_2d\": [410, 171, 430, 214], \"label\": \"chicory seed\"},\n {\"box_2d\": [411, 575, 450, 595], \"label\": \"chicory seed\"},\n {\"box_2d\": [412, 338, 446, 375], \"label\": \"chicory seed\"},\n {\"box_2d\": [412, 555, 453, 579], \"label\": \"chicory seed\"},\n {\"box_2d\": [413, 612, 436, 654], \"label\": \"chicory seed\"},\n {\"box_2d\": [414, 219, 443, 259], \"label\": \"chicory seed\"},\n {\"box_2d\": [415, 687, 446, 722], \"label\": \"chicory seed\"},\n {\"box_2d\": [415, 830, 452, 864], \"label\": \"chicory seed\"},\n {\"box_2d\": [416, 393, 454, 419], \"label\": \"chicory seed\"},\n {\"box_2d\": [421, 751, 445, 792], \"label\": \"chicory seed\"},\n {\"box_2d\": [425, 594, 465, 621], \"label\": \"chicory seed\"},\n {\"box_2d\": [425, 651, 465, 678], \"label\": \"chicory seed\"},\n {\"box_2d\": [426, 365, 464, 387], \"label\": \"chicory seed\"},\n {\"box_2d\": [426, 680, 461, 711], \"label\": \"chicory seed\"},\n {\"box_2d\": [429, 172, 450, 211], \"label\": \"chicory seed\"},\n {\"box_2d\": [431, 283, 458, 324], \"label\": \"chicory seed\"},\n {\"box_2d\": [432, 479, 454, 521], \"label\": \"chicory seed\"},\n {\"box_2d\": [432, 744, 461, 783], \"label\": \"chicory seed\"},\n {\"box_2d\": [434, 231, 462, 269], \"label\": \"chicory seed\"},\n {\"box_2d\": [434, 521, 471, 555], \"label\": \"chicory seed\"},\n {\"box_2d\": [443, 425, 477, 461], \"label\": \"chicory seed\"},\n {\"box_2d\": [443, 500, 482, 528], \"label\": \"chicory seed\"},\n {\"box_2d\": [445, 187, 476, 227], \"label\": \"chicory seed\"},\n {\"box_2d\": [445, 856, 484, 882], \"label\": \"chicory seed\"},\n {\"box_2d\": [446, 639, 488, 661], \"label\": \"chicory seed\"},\n {\"box_2d\": [448, 299, 481, 338], \"label\": \"chicory seed\"},\n {\"box_2d\": [450, 535, 488, 569], \"label\": \"chicory seed\"},\n {\"box_2d\": [452, 265, 494, 286], \"label\": \"chicory seed\"},\n {\"box_2d\": [456, 235, 493, 265], \"label\": \"chicory seed\"},\n {\"box_2d\": [456, 555, 493, 586], \"label\": \"chicory seed\"},\n {\"box_2d\": [457, 464, 474, 504], \"label\": \"chicory seed\"},\n {\"box_2d\": [462, 677, 485, 720], \"label\": \"chicory seed\"},\n {\"box_2d\": [462, 724, 485, 764], \"label\": \"chicory seed\"},\n {\"box_2d\": [464, 756, 503, 781], \"label\": \"chicory seed\"},\n {\"box_2d\": [466, 196, 490, 235], \"label\": \"chicory seed\"},\n {\"box_2d\": [467, 797, 492, 840], \"label\": \"chicory seed\"},\n {\"box_2d\": [468, 300, 502, 338], \"label\": \"chicory seed\"},\n {\"box_2d\": [469, 565, 508, 603], \"label\": \"chicory seed\"},\n {\"box_2d\": [470, 514, 513, 538], \"label\": \"chicory seed\"},\n {\"box_2d\": [471, 365, 489, 406], \"label\": \"chicory seed\"},\n {\"box_2d\": [471, 405, 504, 435], \"label\": \"chicory seed\"},\n {\"box_2d\": [471, 442, 497, 481], \"label\": \"chicory seed\"},\n {\"box_2d\": [475, 597, 507, 635], \"label\": \"chicory seed\"},\n {\"box_2d\": [477, 163, 519, 182], \"label\": \"chicory seed\"},\n {\"box_2d\": [481, 315, 510, 357], \"label\": \"chicory seed\"},\n {\"box_2d\": [481, 714, 502, 756], \"label\": \"chicory seed\"},\n {\"box_2d\": [484, 797, 512, 839], \"label\": \"chicory seed\"},\n {\"box_2d\": [486, 658, 526, 683], \"label\": \"chicory seed\"},\n {\"box_2d\": [487, 227, 518, 267], \"label\": \"chicory seed\"},\n {\"box_2d\": [488, 364, 508, 406], \"label\": \"chicory seed\"},\n {\"box_2d\": [489, 462, 529, 487], \"label\": \"chicory seed\"},\n {\"box_2d\": [491, 482, 529, 506], \"label\": \"chicory seed\"},\n {\"box_2d\": [492, 764, 523, 801], \"label\": \"chicory seed\"},\n {\"box_2d\": [495, 683, 523, 721], \"label\": \"chicory seed\"},\n {\"box_2d\": [498, 425, 529, 463], \"label\": \"chicory seed\"},\n {\"box_2d\": [500, 273, 520, 314], \"label\": \"chicory seed\"},\n {\"box_2d\": [502, 537, 523, 579], \"label\": \"chicory seed\"},\n {\"box_2d\": [502, 728, 530, 767], \"label\": \"chicory seed\"},\n {\"box_2d\": [503, 392, 528, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [506, 603, 545, 625], \"label\": \"chicory seed\"},\n {\"box_2d\": [507, 265, 541, 302], \"label\": \"chicory seed\"},\n {\"box_2d\": [508, 578, 550, 601], \"label\": \"chicory seed\"},\n {\"box_2d\": [509, 230, 540, 268], \"label\": \"chicory seed\"},\n {\"box_2d\": [510, 342, 548, 378], \"label\": \"chicory seed\"},\n {\"box_2d\": [510, 364, 542, 403], \"label\": \"chicory seed\"},\n {\"box_2d\": [512, 792, 533, 835], \"label\": \"chicory seed\"},\n {\"box_2d\": [513, 329, 551, 355], \"label\": \"chicory seed\"},\n {\"box_2d\": [513, 858, 554, 879], \"label\": \"chicory seed\"},\n {\"box_2d\": [514, 501, 532, 540], \"label\": \"chicory seed\"},\n {\"box_2d\": [518, 719, 551, 759], \"label\": \"chicory seed\"},\n {\"box_2d\": [519, 545, 554, 582], \"label\": \"chicory seed\"},\n {\"box_2d\": [522, 302, 565, 325], \"label\": \"chicory seed\"},\n {\"box_2d\": [524, 402, 543, 444], \"label\": \"chicory seed\"},\n {\"box_2d\": [526, 665, 556, 706], \"label\": \"chicory seed\"},\n {\"box_2d\": [526, 706, 566, 738], \"label\": \"chicory seed\"},\n {\"box_2d\": [528, 173, 561, 211], \"label\": \"chicory seed\"},\n {\"box_2d\": [528, 622, 549, 664], \"label\": \"chicory seed\"},\n {\"box_2d\": [530, 764, 553, 805], \"label\": \"chicory seed\"},\n {\"box_2d\": [532, 319, 573, 350], \"label\": \"chicory seed\"},\n {\"box_2d\": [532, 500, 575, 523], \"label\": \"chicory seed\"},\n {\"box_2d\": [533, 245, 566, 287], \"label\": \"chicory seed\"},\n {\"box_2d\": [534, 811, 565, 850], \"label\": \"chicory seed\"},\n {\"box_2d\": [535, 535, 571, 572], \"label\": \"chicory seed\"},\n {\"box_2d\": [543, 368, 563, 409], \"label\": \"chicory seed\"},\n {\"box_2d\": [544, 347, 581, 372], \"label\": \"chicory seed\"},\n {\"box_2d\": [545, 476, 584, 504], \"label\": \"chicory seed\"},\n {\"box_2d\": [546, 576, 572, 616], \"label\": \"chicory seed\"},\n {\"box_2d\": [548, 428, 567, 472], \"label\": \"chicory seed\"},\n {\"box_2d\": [550, 670, 574, 712], \"label\": \"chicory seed\"},\n {\"box_2d\": [551, 783, 586, 821], \"label\": \"chicory seed\"},\n {\"box_2d\": [552, 526, 593, 559], \"label\": \"chicory seed\"},\n {\"box_2d\": [553, 286, 593, 314], \"label\": \"chicory seed\"},\n {\"box_2d\": [558, 405, 591, 444], \"label\": \"chicory seed\"},\n {\"box_2d\": [559, 466, 601, 491], \"label\": \"chicory seed\"},\n {\"box_2d\": [562, 211, 590, 251], \"label\": \"chicory seed\"},\n {\"box_2d\": [564, 625, 590, 666], \"label\": \"chicory seed\"},\n {\"box_2d\": [566, 581, 588, 625], \"label\": \"chicory seed\"},\n {\"box_2d\": [566, 735, 608, 760], \"label\": \"chicory seed\"},\n {\"box_2d\": [566, 756, 593, 797], \"label\": \"chicory seed\"},\n {\"box_2d\": [567, 712, 608, 735], \"label\": \"chicory seed\"},\n {\"box_2d\": [568, 372, 592, 412], \"label\": \"chicory seed\"},\n {\"box_2d\": [571, 559, 607, 590], \"label\": \"chicory seed\"},\n {\"box_2d\": [573, 846, 612, 868], \"label\": \"chicory seed\"},\n {\"box_2d\": [574, 687, 613, 719], \"label\": \"chicory seed\"},\n {\"box_2d\": [575, 256, 604, 294], \"label\": \"chicory seed\"},\n {\"box_2d\": [575, 319, 592, 363], \"label\": \"chicory seed\"},\n {\"box_2d\": [578, 495, 598, 538], \"label\": \"chicory seed\"},\n {\"box_2d\": [579, 444, 618, 467], \"label\": \"chicory seed\"},\n {\"box_2d\": [580, 364, 615, 404], \"label\": \"chicory seed\"},\n {\"box_2d\": [583, 620, 617, 659], \"label\": \"chicory seed\"},\n {\"box_2d\": [585, 659, 625, 685], \"label\": \"chicory seed\"},\n {\"box_2d\": [585, 677, 625, 707], \"label\": \"chicory seed\"},\n {\"box_2d\": [587, 404, 615, 444], \"label\": \"chicory seed\"},\n {\"box_2d\": [589, 312, 611, 354], \"label\": \"chicory seed\"},\n {\"box_2d\": [589, 759, 618, 799], \"label\": \"chicory seed\"},\n {\"box_2d\": [590, 352, 633, 374], \"label\": \"chicory seed\"},\n {\"box_2d\": [590, 591, 625, 629], \"label\": \"chicory seed\"},\n {\"box_2d\": [590, 801, 624, 840], \"label\": \"chicory seed\"},\n {\"box_2d\": [593, 526, 619, 567], \"label\": \"chicory seed\"},\n {\"box_2d\": [596, 488, 616, 524], \"label\": \"chicory seed\"},\n {\"box_2d\": [601, 452, 626, 494], \"label\": \"chicory seed\"},\n {\"box_2d\": [601, 645, 642, 666], \"label\": \"chicory seed\"},\n {\"box_2d\": [605, 309, 639, 348], \"label\": \"chicory seed\"},\n {\"box_2d\": [606, 258, 639, 294], \"label\": \"chicory seed\"},\n {\"box_2d\": [607, 392, 629, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [609, 712, 631, 754], \"label\": \"chicory seed\"},\n {\"box_2d\": [612, 369, 652, 393], \"label\": \"chicory seed\"},\n {\"box_2d\": [613, 758, 635, 799], \"label\": \"chicory seed\"},\n {\"box_2d\": [614, 489, 645, 528], \"label\": \"chicory seed\"},\n {\"box_2d\": [615, 411, 646, 451], \"label\": \"chicory seed\"},\n {\"box_2d\": [617, 297, 657, 319], \"label\": \"chicory seed\"},\n {\"box_2d\": [619, 526, 646, 569], \"label\": \"chicory seed\"},\n {\"box_2d\": [621, 591, 643, 634], \"label\": \"chicory seed\"},\n {\"box_2d\": [623, 662, 663, 686], \"label\": \"chicory seed\"},\n {\"box_2d\": [624, 437, 661, 475], \"label\": \"chicory seed\"},\n {\"box_2d\": [625, 460, 665, 490], \"label\": \"chicory seed\"},\n {\"box_2d\": [626, 719, 648, 761], \"label\": \"chicory seed\"},\n {\"box_2d\": [630, 378, 669, 405], \"label\": \"chicory seed\"},\n {\"box_2d\": [631, 546, 662, 586], \"label\": \"chicory seed\"},\n {\"box_2d\": [631, 793, 654, 836], \"label\": \"chicory seed\"},\n {\"box_2d\": [634, 478, 677, 501], \"label\": \"chicory seed\"},\n {\"box_2d\": [635, 761, 670, 798], \"label\": \"chicory seed\"},\n {\"box_2d\": [639, 677, 682, 701], \"label\": \"chicory seed\"},\n {\"box_2d\": [640, 315, 676, 353], \"label\": \"chicory seed\"},\n {\"box_2d\": [640, 612, 670, 652], \"label\": \"chicory seed\"},\n {\"box_2d\": [641, 216, 682, 240], \"label\": \"chicory seed\"},\n {\"box_2d\": [641, 498, 683, 521], \"label\": \"chicory seed\"},\n {\"box_2d\": [644, 573, 678, 610], \"label\": \"chicory seed\"},\n {\"box_2d\": [645, 714, 666, 758], \"label\": \"chicory seed\"},\n {\"box_2d\": [646, 338, 681, 377], \"label\": \"chicory seed\"},\n {\"box_2d\": [647, 632, 676, 673], \"label\": \"chicory seed\"},\n {\"box_2d\": [650, 413, 692, 436], \"label\": \"chicory seed\"},\n {\"box_2d\": [652, 386, 695, 409], \"label\": \"chicory seed\"},\n {\"box_2d\": [653, 518, 694, 545], \"label\": \"chicory seed\"},\n {\"box_2d\": [659, 427, 700, 454], \"label\": \"chicory seed\"},\n {\"box_2d\": [660, 717, 692, 759], \"label\": \"chicory seed\"},\n {\"box_2d\": [663, 560, 692, 601], \"label\": \"chicory seed\"},\n {\"box_2d\": [667, 351, 702, 388], \"label\": \"chicory seed\"},\n {\"box_2d\": [669, 453, 703, 491], \"label\": \"chicory seed\"},\n {\"box_2d\": [672, 641, 707, 680], \"label\": \"chicory seed\"},\n {\"box_2d\": [678, 789, 719, 816], \"label\": \"chicory seed\"},\n {\"box_2d\": [680, 700, 704, 743], \"label\": \"chicory seed\"},\n {\"box_2d\": [682, 493, 720, 519], \"label\": \"chicory seed\"},\n {\"box_2d\": [683, 292, 709, 329], \"label\": \"chicory seed\"},\n {\"box_2d\": [683, 610, 721, 642], \"label\": \"chicory seed\"},\n {\"box_2d\": [689, 543, 710, 588], \"label\": \"chicory seed\"},\n {\"box_2d\": [695, 234, 728, 271], \"label\": \"chicory seed\"},\n {\"box_2d\": [697, 681, 716, 721], \"label\": \"chicory seed\"},\n {\"box_2d\": [700, 515, 741, 543], \"label\": \"chicory seed\"},\n {\"box_2d\": [700, 717, 727, 759], \"label\": \"chicory seed\"},\n {\"box_2d\": [702, 273, 741, 297], \"label\": \"chicory seed\"},\n {\"box_2d\": [708, 315, 748, 338], \"label\": \"chicory seed\"},\n {\"box_2d\": [710, 464, 749, 492], \"label\": \"chicory seed\"},\n {\"box_2d\": [712, 562, 752, 598], \"label\": \"chicory seed\"},\n {\"box_2d\": [717, 489, 744, 531], \"label\": \"chicory seed\"},\n {\"box_2d\": [719, 415, 739, 454], \"label\": \"chicory seed\"},\n {\"box_2d\": [720, 581, 754, 624], \"label\": \"chicory seed\"},\n {\"box_2d\": [723, 664, 743, 705], \"label\": \"chicory seed\"},\n {\"box_2d\": [724, 735, 767, 755], \"label\": \"chicory seed\"},\n {\"box_2d\": [725, 289, 765, 314], \"label\": \"chicory seed\"},\n {\"box_2d\": [726, 336, 745, 375], \"label\": \"chicory seed\"},\n {\"box_2d\": [733, 388, 773, 408], \"label\": \"chicory seed\"},\n {\"box_2d\": [737, 692, 757, 736], \"label\": \"chicory seed\"},\n {\"box_2d\": [739, 253, 772, 292], \"label\": \"chicory seed\"},\n {\"box_2d\": [740, 539, 777, 560], \"label\": \"chicory seed\"},\n {\"box_2d\": [742, 488, 761, 528], \"label\": \"chicory seed\"},\n {\"box_2d\": [746, 449, 773, 489], \"label\": \"chicory seed\"},\n {\"box_2d\": [747, 645, 773, 686], \"label\": \"chicory seed\"},\n {\"box_2d\": [751, 595, 784, 627], \"label\": \"chicory seed\"},\n {\"box_2d\": [759, 483, 785, 524], \"label\": \"chicory seed\"},\n {\"box_2d\": [759, 634, 795, 668], \"label\": \"chicory seed\"},\n {\"box_2d\": [763, 288, 782, 330], \"label\": \"chicory seed\"},\n {\"box_2d\": [764, 360, 786, 401], \"label\": \"chicory seed\"},\n {\"box_2d\": [769, 316, 807, 348], \"label\": \"chicory seed\"},\n {\"box_2d\": [769, 458, 811, 484], \"label\": \"chicory seed\"},\n {\"box_2d\": [770, 608, 809, 632], \"label\": \"chicory seed\"},\n {\"box_2d\": [775, 405, 817, 430], \"label\": \"chicory seed\"},\n {\"box_2d\": [775, 441, 817, 462], \"label\": \"chicory seed\"},\n {\"box_2d\": [776, 672, 800, 714], \"label\": \"chicory seed\"},\n {\"box_2d\": [785, 518, 812, 560], \"label\": \"chicory seed\"},\n {\"box_2d\": [791, 488, 829, 516], \"label\": \"chicory seed\"},\n {\"box_2d\": [795, 636, 833, 658], \"label\": \"chicory seed\"},\n {\"box_2d\": [795, 657, 818, 699], \"label\": \"chicory seed\"},\n {\"box_2d\": [796, 361, 814, 400], \"label\": \"chicory seed\"},\n {\"box_2d\": [812, 359, 836, 400], \"label\": \"chicory seed\"},\n {\"box_2d\": [813, 536, 834, 582], \"label\": \"chicory seed\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 18272, "elapsed_seconds": 134.99391204095446, "metadata": {"match_method": "map", "num_predictions": 300, "num_ground_truth": 299, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3366336524486542, "attempts": 1, "retries": 0, "total_seconds": 135.1216}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 219, "image": "66_png.rf.39bf6d177f61078e6d35cc7449f636fc.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [33, 259, 95, 310], \"label\": \"not gate symbol\"},\n {\"box_2d\": [251, 109, 321, 152], \"label\": \"not gate symbol\"},\n {\"box_2d\": [251, 161, 321, 205], \"label\": \"not gate symbol\"},\n {\"box_2d\": [412, 503, 482, 546], \"label\": \"not gate symbol\"},\n {\"box_2d\": [659, 259, 721, 309], \"label\": \"not gate symbol\"},\n {\"box_2d\": [905, 259, 967, 309], \"label\": \"not gate symbol\"},\n {\"box_2d\": [155, 252, 236, 332], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [326, 252, 408, 332], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [174, 567, 255, 646], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [479, 567, 559, 646], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [630, 567, 711, 646], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [782, 567, 862, 646], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [554, 777, 635, 856], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [801, 777, 882, 856], \"label\": \"nand gate symbol\"}\n]\n```", "correct": true, "input_tokens": 1222, "output_tokens": 1430, "elapsed_seconds": 12.602274833945557, "metadata": {"match_method": "map", "num_predictions": 14, "num_ground_truth": 14, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 12.6145}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 220, "image": "car-part-detection_Car-damages-1497_png_jpg.rf.e852cda680508c1a167266952897c9ec.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [255, 117, 406, 205], \"label\": \"back windshield\"},\n {\"box_2d\": [425, 96, 545, 165], \"label\": \"tail light\"},\n {\"box_2d\": [541, 82, 755, 181], \"label\": \"back bumper\"},\n {\"box_2d\": [237, 232, 735, 504], \"label\": \"back door\"},\n {\"box_2d\": [248, 250, 425, 474], \"label\": \"back window\"},\n {\"box_2d\": [240, 487, 728, 783], \"label\": \"front door\"},\n {\"box_2d\": [252, 506, 466, 743], \"label\": \"front window\"},\n {\"box_2d\": [400, 735, 463, 767], \"label\": \"mirror\"},\n {\"box_2d\": [259, 642, 424, 853], \"label\": \"windshield\"},\n {\"box_2d\": [381, 821, 475, 948], \"label\": \"hood\"},\n {\"box_2d\": [450, 898, 542, 976], \"label\": \"headlight\"},\n {\"box_2d\": [528, 926, 742, 992], \"label\": \"front bumper\"}\n]\n```", "correct": true, "input_tokens": 1232, "output_tokens": 1319, "elapsed_seconds": 12.575761707965285, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 14, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8754124641418457, "attempts": 1, "retries": 0, "total_seconds": 12.6023}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 221, "image": "51_jpg.rf.058febb668fb3dcd1ddaf96ac46d336e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [60, 190, 383, 244], \"label\": \"blood sample tube\"},\n {\"box_2d\": [46, 279, 162, 517], \"label\": \"blood sample tube\"},\n {\"box_2d\": [150, 232, 396, 426], \"label\": \"blood sample tube\"},\n {\"box_2d\": [270, 280, 567, 408], \"label\": \"blood sample tube\"},\n {\"box_2d\": [350, 198, 636, 336], \"label\": \"blood sample tube\"},\n {\"box_2d\": [656, 195, 761, 443], \"label\": \"blood sample tube\"},\n {\"box_2d\": [582, 331, 692, 569], \"label\": \"blood sample tube\"},\n {\"box_2d\": [522, 325, 632, 564], \"label\": \"blood sample tube\"},\n {\"box_2d\": [686, 412, 756, 658], \"label\": \"blood sample tube\"},\n {\"box_2d\": [380, 474, 657, 642], \"label\": \"blood sample tube\"},\n {\"box_2d\": [166, 430, 319, 661], \"label\": \"blood sample tube\"},\n {\"box_2d\": [40, 469, 108, 709], \"label\": \"blood sample tube\"},\n {\"box_2d\": [38, 709, 100, 954], \"label\": \"blood sample tube\"},\n {\"box_2d\": [90, 665, 155, 916], \"label\": \"blood sample tube\"},\n {\"box_2d\": [106, 521, 224, 761], \"label\": \"blood sample tube\"},\n {\"box_2d\": [169, 571, 299, 809], \"label\": \"blood sample tube\"},\n {\"box_2d\": [116, 777, 378, 959], \"label\": \"blood sample tube\"},\n {\"box_2d\": [182, 858, 496, 967], \"label\": \"blood sample tube\"},\n {\"box_2d\": [280, 652, 568, 811], \"label\": \"blood sample tube\"},\n {\"box_2d\": [485, 613, 668, 851], \"label\": \"blood sample tube\"},\n {\"box_2d\": [583, 647, 757, 888], \"label\": \"blood sample tube\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 2302, "elapsed_seconds": 20.59800004202407, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 21, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 20.625}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 222, "image": "161056d_JPG_jpg.rf.9a7d680b73d40b7f57e4788c75d35faa.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [261, 395, 353, 530], \"label\": \"cracked insulator\"},\n {\"box_2d\": [467, 393, 562, 520], \"label\": \"cracked insulator\"}\n]\n```", "correct": false, "input_tokens": 1217, "output_tokens": 1656, "elapsed_seconds": 28.245531834079884, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5049505233764648, "attempts": 1, "retries": 0, "total_seconds": 28.8066}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 223, "image": "signatures_image_176_png_jpg.rf.ba5b095c7ba79857b44be19e553b8621.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [528, 184, 581, 261], \"label\": \"signature\"},\n {\"box_2d\": [577, 184, 613, 219], \"label\": \"signature\"},\n {\"box_2d\": [562, 452, 599, 487], \"label\": \"signature\"},\n {\"box_2d\": [551, 656, 589, 717], \"label\": \"signature\"},\n {\"box_2d\": [591, 804, 635, 897], \"label\": \"signature\"}\n]\n```", "correct": true, "input_tokens": 1228, "output_tokens": 754, "elapsed_seconds": 12.191546458052471, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 12.371}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 224, "image": "floorplan-windows-doors_10363_png.rf.022a393bcce41347db46c0ae8f821ac1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [107, 79, 193, 102], \"label\": \"window\"},\n {\"box_2d\": [328, 81, 358, 102], \"label\": \"window\"},\n {\"box_2d\": [173, 246, 226, 308], \"label\": \"door\"},\n {\"box_2d\": [205, 307, 243, 356], \"label\": \"door\"},\n {\"box_2d\": [167, 440, 224, 502], \"label\": \"door\"},\n {\"box_2d\": [245, 385, 294, 442], \"label\": \"door\"},\n {\"box_2d\": [258, 526, 304, 588], \"label\": \"door\"},\n {\"box_2d\": [166, 637, 223, 762], \"label\": \"door\"},\n {\"box_2d\": [128, 691, 166, 712], \"label\": \"window\"},\n {\"box_2d\": [283, 685, 320, 712], \"label\": \"window\"},\n {\"box_2d\": [457, 76, 590, 97], \"label\": \"window\"},\n {\"box_2d\": [485, 691, 533, 712], \"label\": \"window\"},\n {\"box_2d\": [534, 634, 591, 763], \"label\": \"door\"},\n {\"box_2d\": [590, 691, 673, 712], \"label\": \"window\"},\n {\"box_2d\": [599, 309, 642, 359], \"label\": \"door\"},\n {\"box_2d\": [640, 365, 700, 439], \"label\": \"door\"},\n {\"box_2d\": [728, 366, 796, 437], \"label\": \"door\"}\n]\n```", "correct": true, "input_tokens": 1223, "output_tokens": 3487, "elapsed_seconds": 33.76999620790593, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 19, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8717821836471558, "attempts": 1, "retries": 0, "total_seconds": 33.8107}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 225, "image": "paper-parts_194472_30_jpg.rf.b0a602d4dcc7284ce0bac985bedfd7a6.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [93, 176, 213, 882], \"label\": \"paragraph\"},\n {\"box_2d\": [233, 176, 248, 417], \"label\": \"paragraph\"},\n {\"box_2d\": [267, 176, 352, 882], \"label\": \"paragraph\"},\n {\"box_2d\": [381, 420, 528, 698], \"label\": \"figure\"},\n {\"box_2d\": [552, 446, 567, 671], \"label\": \"figure caption\"},\n {\"box_2d\": [586, 235, 613, 682], \"label\": \"paragraph\"},\n {\"box_2d\": [628, 403, 655, 654], \"label\": \"equation\"},\n {\"box_2d\": [669, 453, 685, 604], \"label\": \"equation\"},\n {\"box_2d\": [703, 456, 730, 882], \"label\": \"equation\"},\n {\"box_2d\": [748, 176, 798, 882], \"label\": \"paragraph\"},\n {\"box_2d\": [817, 235, 849, 646], \"label\": \"paragraph\"},\n {\"box_2d\": [868, 390, 883, 667], \"label\": \"equation\"},\n {\"box_2d\": [885, 520, 900, 538], \"label\": \"page number\"}\n]\n```", "correct": false, "input_tokens": 1248, "output_tokens": 3991, "elapsed_seconds": 42.395984292030334, "metadata": {"match_method": "map", "num_predictions": 13, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6881187558174133, "attempts": 1, "retries": 0, "total_seconds": 42.4312}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 226, "image": "IMG_6641_jpeg_jpg.rf.d4a1ba083ff18ae1c9807cc69a86b03e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [570, 5, 599, 198], \"label\": \"blue poker chip\"},\n {\"box_2d\": [592, 4, 616, 197], \"label\": \"blue poker chip\"},\n {\"box_2d\": [610, 4, 634, 196], \"label\": \"blue poker chip\"},\n {\"box_2d\": [627, 3, 653, 195], \"label\": \"blue poker chip\"},\n {\"box_2d\": [645, 2, 671, 196], \"label\": \"blue poker chip\"},\n {\"box_2d\": [661, 2, 689, 196], \"label\": \"blue poker chip\"},\n {\"box_2d\": [675, 2, 706, 196], \"label\": \"blue poker chip\"},\n {\"box_2d\": [513, 199, 533, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [531, 198, 549, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [546, 199, 567, 379], \"label\": \"green poker chip\"},\n {\"box_2d\": [563, 198, 585, 379], \"label\": \"green poker chip\"},\n {\"box_2d\": [579, 197, 601, 379], \"label\": \"green poker chip\"},\n {\"box_2d\": [596, 196, 619, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [612, 196, 637, 379], \"label\": \"green poker chip\"},\n {\"box_2d\": [628, 196, 655, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [645, 196, 672, 379], \"label\": \"green poker chip\"},\n {\"box_2d\": [662, 196, 691, 379], \"label\": \"green poker chip\"},\n {\"box_2d\": [677, 195, 709, 379], \"label\": \"green poker chip\"},\n {\"box_2d\": [428, 384, 451, 562], \"label\": \"red poker chip\"},\n {\"box_2d\": [446, 384, 468, 562], \"label\": \"red poker chip\"},\n {\"box_2d\": [463, 385, 483, 563], \"label\": \"red poker chip\"},\n {\"box_2d\": [479, 385, 499, 563], \"label\": \"red poker chip\"},\n {\"box_2d\": [496, 385, 515, 564], \"label\": \"red poker chip\"},\n {\"box_2d\": [513, 385, 532, 564], \"label\": \"red poker chip\"},\n {\"box_2d\": [530, 385, 550, 564], \"label\": \"red poker chip\"},\n {\"box_2d\": [547, 385, 567, 564], \"label\": \"red poker chip\"},\n {\"box_2d\": [563, 385, 585, 564], \"label\": \"red poker chip\"},\n {\"box_2d\": [579, 385, 601, 565], \"label\": \"red poker chip\"},\n {\"box_2d\": [595, 386, 619, 565], \"label\": \"red poker chip\"},\n {\"box_2d\": [612, 386, 637, 566], \"label\": \"red poker chip\"},\n {\"box_2d\": [628, 386, 654, 566], \"label\": \"red poker chip\"},\n {\"box_2d\": [644, 386, 672, 566], \"label\": \"red poker chip\"},\n {\"box_2d\": [661, 386, 690, 566], \"label\": \"red poker chip\"},\n {\"box_2d\": [677, 386, 708, 567], \"label\": \"red poker chip\"},\n {\"box_2d\": [552, 571, 576, 757], \"label\": \"white poker chip\"},\n {\"box_2d\": [571, 571, 594, 757], \"label\": \"white poker chip\"},\n {\"box_2d\": [588, 571, 611, 759], \"label\": \"white poker chip\"},\n {\"box_2d\": [605, 573, 629, 759], \"label\": \"white poker chip\"},\n {\"box_2d\": [621, 574, 648, 760], \"label\": \"white poker chip\"},\n {\"box_2d\": [639, 574, 666, 760], \"label\": \"white poker chip\"},\n {\"box_2d\": [655, 574, 684, 761], \"label\": \"white poker chip\"},\n {\"box_2d\": [671, 573, 702, 762], \"label\": \"white poker chip\"},\n {\"box_2d\": [556, 756, 616, 959], \"label\": \"orange poker chip\"},\n {\"box_2d\": [588, 758, 635, 960], \"label\": \"orange poker chip\"},\n {\"box_2d\": [608, 758, 652, 959], \"label\": \"orange poker chip\"},\n {\"box_2d\": [624, 759, 671, 960], \"label\": \"orange poker chip\"},\n {\"box_2d\": [641, 760, 689, 962], \"label\": \"orange poker chip\"},\n {\"box_2d\": [659, 761, 707, 963], \"label\": \"orange poker chip\"},\n {\"box_2d\": [675, 762, 725, 964], \"label\": \"orange poker chip\"}\n]\n```", "correct": true, "input_tokens": 1243, "output_tokens": 3470, "elapsed_seconds": 26.20976108405739, "metadata": {"match_method": "map", "num_predictions": 49, "num_ground_truth": 49, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 26.2294}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 227, "image": "69_jpg.rf.832734e487772068d6b9bf469788de8f.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [17, 638, 323, 748], \"label\": \"blood sample tube\"},\n {\"box_2d\": [80, 588, 405, 636], \"label\": \"blood sample tube\"},\n {\"box_2d\": [350, 281, 411, 519], \"label\": \"blood sample tube\"},\n {\"box_2d\": [438, 494, 520, 736], \"label\": \"blood sample tube\"},\n {\"box_2d\": [534, 481, 745, 700], \"label\": \"blood sample tube\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 550, "elapsed_seconds": 12.93563041696325, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 12.9451}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 228, "image": "uav20221018_ixfZ_3857_431_png.rf.d4d8056faccd6284b96584515af21de0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [31, 180, 86, 228], \"label\": \"banana tree\"},\n {\"box_2d\": [0, 237, 43, 288], \"label\": \"banana tree\"},\n {\"box_2d\": [71, 249, 108, 281], \"label\": \"banana tree\"},\n {\"box_2d\": [1, 430, 50, 476], \"label\": \"banana tree\"},\n {\"box_2d\": [70, 424, 121, 479], \"label\": \"banana tree\"},\n {\"box_2d\": [140, 434, 185, 484], \"label\": \"banana tree\"},\n {\"box_2d\": [209, 439, 255, 488], \"label\": \"banana tree\"},\n {\"box_2d\": [33, 491, 83, 533], \"label\": \"banana tree\"},\n {\"box_2d\": [109, 495, 145, 530], \"label\": \"banana tree\"},\n {\"box_2d\": [175, 494, 217, 539], \"label\": \"banana tree\"},\n {\"box_2d\": [242, 491, 289, 533], \"label\": \"banana tree\"},\n {\"box_2d\": [18, 661, 61, 700], \"label\": \"banana tree\"},\n {\"box_2d\": [89, 659, 130, 705], \"label\": \"banana tree\"},\n {\"box_2d\": [161, 668, 203, 702], \"label\": \"banana tree\"},\n {\"box_2d\": [229, 672, 269, 707], \"label\": \"banana tree\"},\n {\"box_2d\": [302, 674, 346, 710], \"label\": \"banana tree\"},\n {\"box_2d\": [373, 673, 412, 707], \"label\": \"banana tree\"},\n {\"box_2d\": [0, 707, 36, 750], \"label\": \"banana tree\"},\n {\"box_2d\": [54, 712, 100, 757], \"label\": \"banana tree\"},\n {\"box_2d\": [121, 716, 168, 763], \"label\": \"banana tree\"},\n {\"box_2d\": [194, 716, 236, 756], \"label\": \"banana tree\"},\n {\"box_2d\": [264, 722, 303, 758], \"label\": \"banana tree\"},\n {\"box_2d\": [332, 724, 376, 764], \"label\": \"banana tree\"},\n {\"box_2d\": [39, 904, 73, 938], \"label\": \"banana tree\"},\n {\"box_2d\": [108, 901, 152, 941], \"label\": \"banana tree\"},\n {\"box_2d\": [179, 913, 215, 952], \"label\": \"banana tree\"},\n {\"box_2d\": [251, 922, 288, 955], \"label\": \"banana tree\"},\n {\"box_2d\": [318, 923, 363, 963], \"label\": \"banana tree\"},\n {\"box_2d\": [388, 933, 431, 968], \"label\": \"banana tree\"},\n {\"box_2d\": [458, 934, 498, 974], \"label\": \"banana tree\"},\n {\"box_2d\": [525, 936, 565, 972], \"label\": \"banana tree\"},\n {\"box_2d\": [0, 949, 32, 991], \"label\": \"banana tree\"},\n {\"box_2d\": [66, 959, 111, 996], \"label\": \"banana tree\"},\n {\"box_2d\": [140, 953, 181, 995], \"label\": \"banana tree\"},\n {\"box_2d\": [206, 958, 258, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [275, 969, 322, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [350, 974, 391, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [419, 981, 458, 1000], \"label\": \"banana tree\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 2720, "elapsed_seconds": 27.082988667069003, "metadata": {"match_method": "map", "num_predictions": 38, "num_ground_truth": 38, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 27.1612}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 229, "image": "f39_jpg.rf.8a677bbf5bbbcde071dc3887db6e2b75.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [376, 432, 601, 589], \"label\": \"wildfire\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 639, "elapsed_seconds": 12.970423292019404, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 13.0655}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 230, "image": "wood-log-detection_003_png_jpg.rf.34aeb3fc6262ec00696c0cc722964b3e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [55, 273, 92, 322], \"label\": \"log cross-section\"},\n {\"box_2d\": [84, 247, 117, 291], \"label\": \"log cross-section\"},\n {\"box_2d\": [108, 214, 139, 255], \"label\": \"log cross-section\"},\n {\"box_2d\": [128, 172, 166, 223], \"label\": \"log cross-section\"},\n {\"box_2d\": [166, 155, 197, 200], \"label\": \"log cross-section\"},\n {\"box_2d\": [186, 158, 222, 209], \"label\": \"log cross-section\"},\n {\"box_2d\": [231, 178, 261, 219], \"label\": \"log cross-section\"},\n {\"box_2d\": [198, 209, 238, 267], \"label\": \"log cross-section\"},\n {\"box_2d\": [167, 203, 202, 250], \"label\": \"log cross-section\"},\n {\"box_2d\": [138, 225, 175, 273], \"label\": \"log cross-section\"},\n {\"box_2d\": [116, 259, 150, 305], \"label\": \"log cross-section\"},\n {\"box_2d\": [88, 292, 123, 336], \"label\": \"log cross-section\"},\n {\"box_2d\": [81, 328, 111, 362], \"label\": \"log cross-section\"},\n {\"box_2d\": [73, 353, 106, 395], \"label\": \"log cross-section\"},\n {\"box_2d\": [102, 331, 138, 381], \"label\": \"log cross-section\"},\n {\"box_2d\": [133, 322, 170, 372], \"label\": \"log cross-section\"},\n {\"box_2d\": [145, 286, 180, 328], \"label\": \"log cross-section\"},\n {\"box_2d\": [161, 252, 195, 294], \"label\": \"log cross-section\"},\n {\"box_2d\": [197, 277, 227, 314], \"label\": \"log cross-section\"},\n {\"box_2d\": [198, 309, 244, 361], \"label\": \"log cross-section\"},\n {\"box_2d\": [173, 339, 203, 378], \"label\": \"log cross-section\"},\n {\"box_2d\": [134, 375, 170, 414], \"label\": \"log cross-section\"},\n {\"box_2d\": [102, 408, 134, 444], \"label\": \"log cross-section\"},\n {\"box_2d\": [50, 416, 81, 458], \"label\": \"log cross-section\"},\n {\"box_2d\": [142, 406, 180, 447], \"label\": \"log cross-section\"},\n {\"box_2d\": [111, 447, 142, 484], \"label\": \"log cross-section\"},\n {\"box_2d\": [138, 453, 170, 489], \"label\": \"log cross-section\"},\n {\"box_2d\": [111, 484, 150, 530], \"label\": \"log cross-section\"},\n {\"box_2d\": [141, 489, 178, 534], \"label\": \"log cross-section\"},\n {\"box_2d\": [106, 531, 141, 575], \"label\": \"log cross-section\"},\n {\"box_2d\": [133, 528, 169, 570], \"label\": \"log cross-section\"},\n {\"box_2d\": [108, 575, 148, 623], \"label\": \"log cross-section\"},\n {\"box_2d\": [81, 606, 125, 658], \"label\": \"log cross-section\"},\n {\"box_2d\": [141, 597, 183, 645], \"label\": \"log cross-section\"},\n {\"box_2d\": [134, 636, 169, 666], \"label\": \"log cross-section\"},\n {\"box_2d\": [123, 672, 161, 720], \"label\": \"log cross-section\"},\n {\"box_2d\": [166, 642, 200, 681], \"label\": \"log cross-section\"},\n {\"box_2d\": [180, 670, 208, 705], \"label\": \"log cross-section\"},\n {\"box_2d\": [197, 656, 227, 694], \"label\": \"log cross-section\"},\n {\"box_2d\": [205, 681, 241, 728], \"label\": \"log cross-section\"},\n {\"box_2d\": [241, 678, 275, 722], \"label\": \"log cross-section\"},\n {\"box_2d\": [259, 636, 297, 681], \"label\": \"log cross-section\"},\n {\"box_2d\": [223, 609, 262, 655], \"label\": \"log cross-section\"},\n {\"box_2d\": [183, 595, 220, 642], \"label\": \"log cross-section\"},\n {\"box_2d\": [175, 564, 209, 598], \"label\": \"log cross-section\"},\n {\"box_2d\": [186, 525, 230, 562], \"label\": \"log cross-section\"},\n {\"box_2d\": [219, 558, 250, 594], \"label\": \"log cross-section\"},\n {\"box_2d\": [248, 539, 288, 586], \"label\": \"log cross-section\"},\n {\"box_2d\": [253, 586, 291, 631], \"label\": \"log cross-section\"},\n {\"box_2d\": [186, 484, 219, 525], \"label\": \"log cross-section\"},\n {\"box_2d\": [177, 430, 206, 469], \"label\": \"log cross-section\"},\n {\"box_2d\": [169, 462, 198, 495], \"label\": \"log cross-section\"},\n {\"box_2d\": [180, 394, 209, 431], \"label\": \"log cross-section\"},\n {\"box_2d\": [198, 362, 234, 408], \"label\": \"log cross-section\"},\n {\"box_2d\": [202, 412, 230, 448], \"label\": \"log cross-section\"},\n {\"box_2d\": [198, 448, 234, 492], \"label\": \"log cross-section\"},\n {\"box_2d\": [220, 398, 252, 436], \"label\": \"log cross-section\"},\n {\"box_2d\": [230, 436, 270, 489], \"label\": \"log cross-section\"},\n {\"box_2d\": [230, 488, 267, 528], \"label\": \"log cross-section\"},\n {\"box_2d\": [234, 353, 272, 405], \"label\": \"log cross-section\"},\n {\"box_2d\": [302, 209, 334, 253], \"label\": \"log cross-section\"},\n {\"box_2d\": [294, 252, 323, 291], \"label\": \"log cross-section\"},\n {\"box_2d\": [292, 295, 325, 338], \"label\": \"log cross-section\"},\n {\"box_2d\": [323, 305, 350, 344], \"label\": \"log cross-section\"},\n {\"box_2d\": [330, 267, 352, 305], \"label\": \"log cross-section\"},\n {\"box_2d\": [308, 344, 341, 383], \"label\": \"log cross-section\"},\n {\"box_2d\": [325, 372, 350, 420], \"label\": \"log cross-section\"},\n {\"box_2d\": [300, 411, 333, 456], \"label\": \"log cross-section\"},\n {\"box_2d\": [305, 462, 336, 498], \"label\": \"log cross-section\"},\n {\"box_2d\": [300, 506, 339, 552], \"label\": \"log cross-section\"},\n {\"box_2d\": [302, 653, 331, 692], \"label\": \"log cross-section\"},\n {\"box_2d\": [308, 595, 339, 634], \"label\": \"log cross-section\"},\n {\"box_2d\": [319, 555, 344, 594], \"label\": \"log cross-section\"},\n {\"box_2d\": [328, 491, 347, 528], \"label\": \"log cross-section\"}\n]\n```", "correct": true, "input_tokens": 1228, "output_tokens": 5002, "elapsed_seconds": 40.39937712496612, "metadata": {"match_method": "map", "num_predictions": 74, "num_ground_truth": 78, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8771741986274719, "attempts": 1, "retries": 0, "total_seconds": 40.419}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 231, "image": "basketball-player-detection_boston-celtics-new-york-knicks-game-1-q1-04-28-04-20-0185_png.rf.5bf3baa6a3ce5adfe29dab142647c8bc.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [197, 622, 267, 664], \"label\": \"basket rim\"},\n {\"box_2d\": [330, 470, 360, 488], \"label\": \"basketball\"},\n {\"box_2d\": [213, 0, 417, 42], \"label\": \"referee\"},\n {\"box_2d\": [256, 697, 468, 740], \"label\": \"referee\"},\n {\"box_2d\": [684, 554, 987, 629], \"label\": \"referee\"},\n {\"box_2d\": [257, 139, 460, 189], \"label\": \"player\"},\n {\"box_2d\": [342, 151, 545, 220], \"label\": \"player\"},\n {\"box_2d\": [378, 276, 601, 333], \"label\": \"player\"},\n {\"box_2d\": [297, 298, 506, 333], \"label\": \"player\"},\n {\"box_2d\": [182, 378, 371, 421], \"label\": \"player\"},\n {\"box_2d\": [248, 456, 459, 505], \"label\": \"player\"},\n {\"box_2d\": [296, 574, 513, 646], \"label\": \"player\"},\n {\"box_2d\": [346, 616, 604, 672], \"label\": \"player\"},\n {\"box_2d\": [513, 412, 870, 463], \"label\": \"player\"},\n {\"box_2d\": [510, 454, 795, 509], \"label\": \"player\"},\n {\"box_2d\": [651, 434, 679, 444], \"label\": \"jersey number\"},\n {\"box_2d\": [788, 590, 809, 603], \"label\": \"jersey number\"},\n {\"box_2d\": [399, 646, 423, 655], \"label\": \"jersey number\"},\n {\"box_2d\": [355, 616, 375, 629], \"label\": \"jersey number\"},\n {\"box_2d\": [306, 468, 328, 476], \"label\": \"jersey number\"},\n {\"box_2d\": [235, 399, 252, 410], \"label\": \"jersey number\"},\n {\"box_2d\": [312, 155, 330, 165], \"label\": \"jersey number\"},\n {\"box_2d\": [403, 184, 421, 192], \"label\": \"jersey number\"}\n]\n```", "correct": false, "input_tokens": 1251, "output_tokens": 2770, "elapsed_seconds": 28.365235540899448, "metadata": {"match_method": "map", "num_predictions": 23, "num_ground_truth": 23, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6277639865875244, "attempts": 1, "retries": 0, "total_seconds": 28.4604}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 232, "image": "construction-safety_ppe_0016_jpg.rf.d53d80274c0b6fdd6cccc30b2f5316b2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [322, 68, 436, 179], \"label\": \"safety helmet\"},\n {\"box_2d\": [287, 185, 376, 260], \"label\": \"safety helmet\"},\n {\"box_2d\": [327, 331, 422, 405], \"label\": \"safety helmet\"},\n {\"box_2d\": [323, 484, 427, 576], \"label\": \"safety helmet\"},\n {\"box_2d\": [306, 580, 399, 675], \"label\": \"safety helmet\"},\n {\"box_2d\": [362, 679, 461, 777], \"label\": \"safety helmet\"},\n {\"box_2d\": [279, 748, 393, 855], \"label\": \"safety helmet\"},\n {\"box_2d\": [480, 259, 852, 440], \"label\": \"safety vest\"},\n {\"box_2d\": [476, 456, 787, 594], \"label\": \"safety vest\"},\n {\"box_2d\": [459, 572, 804, 704], \"label\": \"safety vest\"},\n {\"box_2d\": [483, 687, 863, 799], \"label\": \"safety vest\"},\n {\"box_2d\": [461, 745, 860, 904], \"label\": \"safety vest\"},\n {\"box_2d\": [868, 858, 1000, 975], \"label\": \"safety vest\"},\n {\"box_2d\": [320, 62, 1000, 288], \"label\": \"person\"},\n {\"box_2d\": [289, 135, 999, 297], \"label\": \"person\"},\n {\"box_2d\": [328, 250, 945, 444], \"label\": \"person\"},\n {\"box_2d\": [323, 443, 945, 594], \"label\": \"person\"},\n {\"box_2d\": [306, 569, 886, 720], \"label\": \"person\"},\n {\"box_2d\": [362, 603, 865, 799], \"label\": \"person\"},\n {\"box_2d\": [281, 676, 996, 906], \"label\": \"person\"}\n]\n```", "correct": true, "input_tokens": 1222, "output_tokens": 1896, "elapsed_seconds": 30.43525187508203, "metadata": {"match_method": "map", "num_predictions": 20, "num_ground_truth": 19, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 31.388}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 233, "image": "ind_jpeg_jpg.rf.838960e9a8a04626878832d54c63b122.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [16, 23, 48, 311], \"label\": \"technical drawing table\"},\n {\"box_2d\": [16, 903, 48, 977], \"label\": \"technical drawing table\"},\n {\"box_2d\": [369, 72, 460, 195], \"label\": \"dimension annotation\"},\n {\"box_2d\": [417, 66, 513, 217], \"label\": \"dimension annotation\"},\n {\"box_2d\": [357, 532, 401, 616], \"label\": \"dimension annotation\"},\n {\"box_2d\": [558, 314, 576, 410], \"label\": \"dimension annotation\"},\n {\"box_2d\": [588, 171, 605, 410], \"label\": \"dimension annotation\"},\n {\"box_2d\": [654, 339, 736, 421], \"label\": \"dimension annotation\"},\n {\"box_2d\": [661, 408, 726, 512], \"label\": \"dimension annotation\"},\n {\"box_2d\": [768, 56, 834, 80], \"label\": \"dimension annotation\"},\n {\"box_2d\": [759, 553, 807, 577], \"label\": \"dimension annotation\"},\n {\"box_2d\": [726, 583, 790, 608], \"label\": \"dimension annotation\"},\n {\"box_2d\": [790, 583, 834, 608], \"label\": \"dimension annotation\"},\n {\"box_2d\": [637, 687, 654, 720], \"label\": \"dimension annotation\"},\n {\"box_2d\": [637, 716, 654, 845], \"label\": \"dimension annotation\"},\n {\"box_2d\": [637, 842, 654, 875], \"label\": \"dimension annotation\"},\n {\"box_2d\": [689, 936, 834, 961], \"label\": \"dimension annotation\"},\n {\"box_2d\": [914, 207, 984, 977], \"label\": \"technical drawing table\"}\n]\n```", "correct": false, "input_tokens": 1233, "output_tokens": 2819, "elapsed_seconds": 27.877023792010732, "metadata": {"match_method": "map", "num_predictions": 18, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.1765676587820053, "attempts": 1, "retries": 0, "total_seconds": 27.8869}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 234, "image": "frame_0102_jpg.rf.17d6c3b1d93b1bd2e8d8880687a7f794.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [37, 336, 77, 360], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [36, 392, 74, 417], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [43, 446, 82, 471], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [45, 504, 86, 529], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [119, 329, 159, 353], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [123, 386, 165, 410], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [129, 441, 171, 467], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [130, 500, 173, 526], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [215, 332, 259, 357], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [222, 390, 267, 415], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [230, 449, 274, 475], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [247, 509, 291, 535], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [314, 322, 359, 346], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [321, 381, 367, 408], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [330, 442, 376, 469], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [349, 504, 394, 531], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [415, 307, 461, 334], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [426, 367, 473, 394], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [434, 428, 483, 456], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [451, 490, 501, 518], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [526, 313, 574, 340], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [540, 373, 589, 401], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [555, 436, 605, 465], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [571, 501, 619, 529], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [634, 302, 682, 328], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [650, 362, 699, 390], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [669, 426, 719, 455], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [684, 490, 735, 518], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [744, 297, 793, 324], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [764, 358, 813, 386], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [782, 421, 833, 450], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [800, 486, 849, 515], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [859, 305, 908, 332], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [882, 366, 932, 394], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [896, 430, 945, 459], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [915, 493, 964, 522], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [956, 292, 1000, 319], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [979, 353, 1000, 379], \"label\": \"soda bottle cap\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 3432, "elapsed_seconds": 31.03486862499267, "metadata": {"match_method": "map", "num_predictions": 38, "num_ground_truth": 38, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 31.4255}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 235, "image": "tile_559_jpg.rf.2e36153b3f0a023e43755fc06e0c32dc.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [6, 324, 28, 377], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [215, 450, 239, 535], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [322, 250, 360, 348], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [666, 668, 689, 751], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [741, 351, 759, 431], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [885, 0, 906, 77], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [929, 777, 954, 860], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [958, 551, 981, 600], \"label\": \"ship in SAR satellite image\"}\n]\n```", "correct": true, "input_tokens": 1229, "output_tokens": 862, "elapsed_seconds": 10.100705916061997, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 10.1319}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 236, "image": "frame_0555_jpg.rf.e5603989fbc45aefce0b30f65bdbe361.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 273, 41, 306], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 344, 45, 385], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [26, 431, 81, 463], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 596, 49, 622], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [46, 538, 106, 570], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [63, 350, 123, 392], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [82, 240, 145, 281], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [139, 541, 198, 573], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [164, 337, 232, 373], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [219, 354, 278, 389], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [251, 256, 315, 292], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [237, 442, 305, 478], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [298, 370, 363, 408], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [375, 435, 438, 476], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [406, 357, 466, 394], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [462, 235, 536, 279], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [492, 348, 559, 387], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [465, 549, 527, 585], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [422, 654, 485, 695], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [585, 581, 652, 622], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [611, 232, 690, 281], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [740, 346, 825, 393], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [785, 243, 863, 289], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [798, 450, 884, 491], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [770, 485, 849, 526], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [728, 603, 804, 646], \"label\": \"garlic on conveyor\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 1909, "elapsed_seconds": 16.329231458017603, "metadata": {"match_method": "map", "num_predictions": 26, "num_ground_truth": 23, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8846153616905212, "attempts": 1, "retries": 0, "total_seconds": 16.4269}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 237, "image": "DJI_0236_JPG_jpg.rf.d7ac178bd4662b9ae881e21c92284693.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [722, 557, 899, 626], \"label\": \"excavator\"},\n {\"box_2d\": [458, 381, 492, 439], \"label\": \"dump truck\"},\n {\"box_2d\": [414, 231, 439, 274], \"label\": \"dump truck\"}\n]\n```", "correct": false, "input_tokens": 1209, "output_tokens": 2755, "elapsed_seconds": 44.96085874992423, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 6, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.4999999701976776, "attempts": 1, "retries": 0, "total_seconds": 45.7916}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 238, "image": "9999981_00000_d_0000108_jpg.rf.808757c317fef3db00edefab735a3c05.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [59, 148, 170, 201], \"label\": \"truck\"},\n {\"box_2d\": [118, 20, 202, 61], \"label\": \"van\"},\n {\"box_2d\": [75, 11, 122, 42], \"label\": \"car\"},\n {\"box_2d\": [287, 59, 359, 91], \"label\": \"van\"},\n {\"box_2d\": [368, 84, 427, 118], \"label\": \"car\"},\n {\"box_2d\": [288, 230, 360, 272], \"label\": \"car\"},\n {\"box_2d\": [542, 326, 628, 376], \"label\": \"car\"},\n {\"box_2d\": [926, 452, 1000, 526], \"label\": \"car\"},\n {\"box_2d\": [785, 734, 871, 795], \"label\": \"car\"},\n {\"box_2d\": [811, 761, 900, 820], \"label\": \"car\"},\n {\"box_2d\": [539, 738, 608, 811], \"label\": \"car\"},\n {\"box_2d\": [395, 571, 505, 689], \"label\": \"bus\"},\n {\"box_2d\": [369, 657, 425, 717], \"label\": \"car\"},\n {\"box_2d\": [258, 483, 323, 523], \"label\": \"car\"},\n {\"box_2d\": [209, 496, 273, 542], \"label\": \"car\"},\n {\"box_2d\": [197, 408, 261, 446], \"label\": \"car\"},\n {\"box_2d\": [84, 439, 149, 478], \"label\": \"car\"},\n {\"box_2d\": [1, 405, 57, 440], \"label\": \"car\"},\n {\"box_2d\": [530, 130, 605, 170], \"label\": \"truck\"},\n {\"box_2d\": [906, 196, 982, 239], \"label\": \"tricycle\"},\n {\"box_2d\": [866, 391, 902, 417], \"label\": \"motorcycle\"},\n {\"box_2d\": [889, 342, 914, 360], \"label\": \"person\"}\n]\n```", "correct": false, "input_tokens": 1214, "output_tokens": 2308, "elapsed_seconds": 33.40933629090432, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 46, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.41173577308654785, "attempts": 1, "retries": 0, "total_seconds": 33.4797}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 239, "image": "egg-detection_image381_jpg.rf.26b6182b9e6a29f3cd96c54029e234f8.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [12, 432, 66, 466], \"label\": \"egg\"},\n {\"box_2d\": [29, 471, 91, 501], \"label\": \"egg\"},\n {\"box_2d\": [64, 427, 126, 457], \"label\": \"egg\"},\n {\"box_2d\": [91, 385, 148, 421], \"label\": \"egg\"},\n {\"box_2d\": [164, 371, 221, 408], \"label\": \"egg\"},\n {\"box_2d\": [243, 419, 309, 456], \"label\": \"egg\"},\n {\"box_2d\": [243, 464, 302, 506], \"label\": \"egg\"},\n {\"box_2d\": [309, 427, 377, 459], \"label\": \"egg\"},\n {\"box_2d\": [288, 481, 353, 518], \"label\": \"egg\"},\n {\"box_2d\": [264, 558, 333, 591], \"label\": \"egg\"},\n {\"box_2d\": [533, 315, 598, 349], \"label\": \"egg\"},\n {\"box_2d\": [589, 302, 646, 339], \"label\": \"egg\"},\n {\"box_2d\": [676, 383, 739, 419], \"label\": \"egg\"},\n {\"box_2d\": [711, 417, 769, 457], \"label\": \"egg\"},\n {\"box_2d\": [707, 479, 770, 517], \"label\": \"egg\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 1469, "elapsed_seconds": 27.05869666696526, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 27.1554}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 240, "image": "A16150-1C_2025_NCPT-175_JPG_jpg.rf.2c6e330d745fc218d09f761944d1e142.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [15, 248, 96, 275], \"label\": \"potato\"},\n {\"box_2d\": [96, 247, 161, 274], \"label\": \"potato\"},\n {\"box_2d\": [11, 295, 56, 315], \"label\": \"potato\"},\n {\"box_2d\": [54, 293, 106, 317], \"label\": \"potato\"},\n {\"box_2d\": [104, 287, 163, 315], \"label\": \"potato\"},\n {\"box_2d\": [160, 285, 240, 316], \"label\": \"potato\"},\n {\"box_2d\": [240, 284, 315, 316], \"label\": \"potato\"},\n {\"box_2d\": [412, 279, 515, 318], \"label\": \"potato\"},\n {\"box_2d\": [577, 283, 646, 311], \"label\": \"potato\"},\n {\"box_2d\": [646, 274, 742, 314], \"label\": \"potato\"},\n {\"box_2d\": [748, 284, 816, 309], \"label\": \"potato\"},\n {\"box_2d\": [919, 282, 987, 311], \"label\": \"potato\"},\n {\"box_2d\": [7, 330, 91, 366], \"label\": \"potato\"},\n {\"box_2d\": [90, 329, 171, 362], \"label\": \"potato\"},\n {\"box_2d\": [170, 328, 243, 361], \"label\": \"potato\"},\n {\"box_2d\": [241, 323, 335, 361], \"label\": \"potato\"},\n {\"box_2d\": [333, 323, 423, 359], \"label\": \"potato\"},\n {\"box_2d\": [440, 328, 517, 359], \"label\": \"potato\"},\n {\"box_2d\": [515, 324, 594, 356], \"label\": \"potato\"},\n {\"box_2d\": [698, 326, 777, 356], \"label\": \"potato\"},\n {\"box_2d\": [775, 326, 853, 353], \"label\": \"potato\"},\n {\"box_2d\": [921, 324, 1000, 351], \"label\": \"potato\"},\n {\"box_2d\": [16, 377, 94, 410], \"label\": \"potato\"},\n {\"box_2d\": [108, 374, 190, 405], \"label\": \"potato\"},\n {\"box_2d\": [188, 374, 265, 406], \"label\": \"potato\"},\n {\"box_2d\": [264, 374, 349, 409], \"label\": \"potato\"},\n {\"box_2d\": [335, 364, 386, 389], \"label\": \"potato\"},\n {\"box_2d\": [383, 368, 486, 406], \"label\": \"potato\"},\n {\"box_2d\": [481, 370, 575, 408], \"label\": \"potato\"},\n {\"box_2d\": [687, 368, 761, 399], \"label\": \"potato\"},\n {\"box_2d\": [760, 366, 846, 400], \"label\": \"potato\"},\n {\"box_2d\": [918, 364, 999, 400], \"label\": \"potato\"},\n {\"box_2d\": [6, 415, 91, 453], \"label\": \"potato\"},\n {\"box_2d\": [86, 413, 195, 460], \"label\": \"potato\"},\n {\"box_2d\": [193, 416, 273, 451], \"label\": \"potato\"},\n {\"box_2d\": [349, 416, 435, 449], \"label\": \"potato\"},\n {\"box_2d\": [435, 416, 524, 450], \"label\": \"potato\"},\n {\"box_2d\": [524, 416, 603, 448], \"label\": \"potato\"},\n {\"box_2d\": [602, 411, 687, 446], \"label\": \"potato\"},\n {\"box_2d\": [686, 411, 778, 444], \"label\": \"potato\"},\n {\"box_2d\": [7, 466, 80, 495], \"label\": \"potato\"},\n {\"box_2d\": [79, 466, 139, 494], \"label\": \"potato\"},\n {\"box_2d\": [138, 456, 255, 496], \"label\": \"potato\"},\n {\"box_2d\": [264, 462, 333, 490], \"label\": \"potato\"},\n {\"box_2d\": [336, 459, 411, 489], \"label\": \"potato\"},\n {\"box_2d\": [409, 460, 502, 496], \"label\": \"potato\"},\n {\"box_2d\": [728, 453, 825, 496], \"label\": \"potato\"},\n {\"box_2d\": [916, 456, 994, 488], \"label\": \"potato\"},\n {\"box_2d\": [6, 508, 77, 538], \"label\": \"potato\"},\n {\"box_2d\": [75, 507, 141, 539], \"label\": \"potato\"},\n {\"box_2d\": [138, 506, 243, 545], \"label\": \"potato\"},\n {\"box_2d\": [241, 505, 338, 547], \"label\": \"potato\"},\n {\"box_2d\": [492, 496, 588, 535], \"label\": \"potato\"},\n {\"box_2d\": [680, 495, 799, 546], \"label\": \"potato\"},\n {\"box_2d\": [7, 551, 82, 582], \"label\": \"potato\"},\n {\"box_2d\": [150, 550, 231, 583], \"label\": \"potato\"},\n {\"box_2d\": [230, 551, 319, 581], \"label\": \"potato\"},\n {\"box_2d\": [492, 548, 569, 581], \"label\": \"potato\"},\n {\"box_2d\": [687, 548, 745, 573], \"label\": \"potato\"},\n {\"box_2d\": [788, 541, 878, 580], \"label\": \"potato\"},\n {\"box_2d\": [923, 541, 1000, 573], \"label\": \"potato\"},\n {\"box_2d\": [4, 595, 72, 629], \"label\": \"potato\"},\n {\"box_2d\": [71, 595, 173, 632], \"label\": \"potato\"},\n {\"box_2d\": [168, 595, 255, 629], \"label\": \"potato\"},\n {\"box_2d\": [309, 593, 420, 636], \"label\": \"potato\"},\n {\"box_2d\": [645, 585, 729, 619], \"label\": \"potato\"},\n {\"box_2d\": [0, 629, 88, 666], \"label\": \"potato\"},\n {\"box_2d\": [86, 639, 157, 669], \"label\": \"potato\"},\n {\"box_2d\": [156, 639, 232, 669], \"label\": \"potato\"},\n {\"box_2d\": [256, 640, 321, 668], \"label\": \"potato\"},\n {\"box_2d\": [370, 637, 440, 667], \"label\": \"potato\"},\n {\"box_2d\": [506, 637, 575, 664], \"label\": \"potato\"},\n {\"box_2d\": [813, 625, 938, 664], \"label\": \"potato\"},\n {\"box_2d\": [61, 682, 132, 712], \"label\": \"potato\"},\n {\"box_2d\": [13, 727, 99, 761], \"label\": \"potato\"},\n {\"box_2d\": [519, 721, 606, 762], \"label\": \"potato\"},\n {\"box_2d\": [287, 766, 356, 790], \"label\": \"potato\"},\n {\"box_2d\": [441, 765, 517, 796], \"label\": \"potato\"},\n {\"box_2d\": [21, 813, 83, 842], \"label\": \"potato\"},\n {\"box_2d\": [326, 810, 387, 836], \"label\": \"potato\"},\n {\"box_2d\": [313, 849, 393, 878], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 5375, "elapsed_seconds": 52.554920666036196, "metadata": {"match_method": "map", "num_predictions": 81, "num_ground_truth": 81, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 53.0458}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 241, "image": "lot251_JPEG_jpg.rf.5ae906b5fd537b40c5fabb806ecf5fd9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [179, 341, 201, 381], \"label\": \"chicory seed\"},\n {\"box_2d\": [199, 316, 226, 355], \"label\": \"chicory seed\"},\n {\"box_2d\": [198, 281, 224, 323], \"label\": \"chicory seed\"},\n {\"box_2d\": [186, 362, 211, 405], \"label\": \"chicory seed\"},\n {\"box_2d\": [196, 424, 232, 459], \"label\": \"chicory seed\"},\n {\"box_2d\": [179, 498, 215, 524], \"label\": \"chicory seed\"},\n {\"box_2d\": [190, 538, 228, 565], \"label\": \"chicory seed\"},\n {\"box_2d\": [194, 577, 232, 603], \"label\": \"chicory seed\"},\n {\"box_2d\": [222, 250, 253, 284], \"label\": \"chicory seed\"},\n {\"box_2d\": [229, 260, 260, 297], \"label\": \"chicory seed\"},\n {\"box_2d\": [221, 302, 260, 331], \"label\": \"chicory seed\"},\n {\"box_2d\": [213, 337, 252, 366], \"label\": \"chicory seed\"},\n {\"box_2d\": [208, 366, 231, 409], \"label\": \"chicory seed\"},\n {\"box_2d\": [223, 398, 253, 437], \"label\": \"chicory seed\"},\n {\"box_2d\": [224, 354, 263, 377], \"label\": \"chicory seed\"},\n {\"box_2d\": [239, 375, 259, 417], \"label\": \"chicory seed\"},\n {\"box_2d\": [218, 491, 253, 519], \"label\": \"chicory seed\"},\n {\"box_2d\": [215, 518, 256, 541], \"label\": \"chicory seed\"},\n {\"box_2d\": [238, 591, 261, 631], \"label\": \"chicory seed\"},\n {\"box_2d\": [244, 639, 284, 667], \"label\": \"chicory seed\"},\n {\"box_2d\": [249, 660, 269, 697], \"label\": \"chicory seed\"},\n {\"box_2d\": [261, 241, 287, 281], \"label\": \"chicory seed\"},\n {\"box_2d\": [249, 289, 284, 317], \"label\": \"chicory seed\"},\n {\"box_2d\": [267, 275, 298, 306], \"label\": \"chicory seed\"},\n {\"box_2d\": [274, 309, 296, 349], \"label\": \"chicory seed\"},\n {\"box_2d\": [259, 373, 280, 412], \"label\": \"chicory seed\"},\n {\"box_2d\": [244, 418, 277, 459], \"label\": \"chicory seed\"},\n {\"box_2d\": [253, 452, 290, 483], \"label\": \"chicory seed\"},\n {\"box_2d\": [277, 340, 311, 372], \"label\": \"chicory seed\"},\n {\"box_2d\": [279, 371, 298, 412], \"label\": \"chicory seed\"},\n {\"box_2d\": [275, 422, 301, 463], \"label\": \"chicory seed\"},\n {\"box_2d\": [273, 485, 307, 524], \"label\": \"chicory seed\"},\n {\"box_2d\": [251, 533, 284, 571], \"label\": \"chicory seed\"},\n {\"box_2d\": [280, 545, 300, 591], \"label\": \"chicory seed\"},\n {\"box_2d\": [272, 603, 303, 637], \"label\": \"chicory seed\"},\n {\"box_2d\": [271, 657, 293, 697], \"label\": \"chicory seed\"},\n {\"box_2d\": [291, 644, 311, 686], \"label\": \"chicory seed\"},\n {\"box_2d\": [292, 696, 323, 735], \"label\": \"chicory seed\"},\n {\"box_2d\": [282, 193, 315, 230], \"label\": \"chicory seed\"},\n {\"box_2d\": [293, 209, 321, 248], \"label\": \"chicory seed\"},\n {\"box_2d\": [301, 267, 338, 302], \"label\": \"chicory seed\"},\n {\"box_2d\": [298, 282, 320, 324], \"label\": \"chicory seed\"},\n {\"box_2d\": [312, 320, 333, 364], \"label\": \"chicory seed\"},\n {\"box_2d\": [296, 364, 325, 405], \"label\": \"chicory seed\"},\n {\"box_2d\": [285, 406, 328, 429], \"label\": \"chicory seed\"},\n {\"box_2d\": [297, 439, 319, 481], \"label\": \"chicory seed\"},\n {\"box_2d\": [291, 509, 330, 535], \"label\": \"chicory seed\"},\n {\"box_2d\": [301, 550, 328, 592], \"label\": \"chicory seed\"},\n {\"box_2d\": [313, 567, 350, 604], \"label\": \"chicory seed\"},\n {\"box_2d\": [303, 608, 335, 646], \"label\": \"chicory seed\"},\n {\"box_2d\": [313, 670, 335, 712], \"label\": \"chicory seed\"},\n {\"box_2d\": [329, 696, 364, 731], \"label\": \"chicory seed\"},\n {\"box_2d\": [332, 747, 370, 777], \"label\": \"chicory seed\"},\n {\"box_2d\": [325, 208, 348, 247], \"label\": \"chicory seed\"},\n {\"box_2d\": [336, 242, 374, 265], \"label\": \"chicory seed\"},\n {\"box_2d\": [325, 260, 366, 285], \"label\": \"chicory seed\"},\n {\"box_2d\": [330, 284, 361, 322], \"label\": \"chicory seed\"},\n {\"box_2d\": [321, 360, 349, 400], \"label\": \"chicory seed\"},\n {\"box_2d\": [320, 398, 359, 420], \"label\": \"chicory seed\"},\n {\"box_2d\": [318, 420, 351, 459], \"label\": \"chicory seed\"},\n {\"box_2d\": [317, 453, 356, 476], \"label\": \"chicory seed\"},\n {\"box_2d\": [309, 475, 348, 499], \"label\": \"chicory seed\"},\n {\"box_2d\": [341, 491, 376, 521], \"label\": \"chicory seed\"},\n {\"box_2d\": [333, 527, 357, 568], \"label\": \"chicory seed\"},\n {\"box_2d\": [357, 504, 381, 544], \"label\": \"chicory seed\"},\n {\"box_2d\": [342, 566, 375, 605], \"label\": \"chicory seed\"},\n {\"box_2d\": [337, 619, 359, 661], \"label\": \"chicory seed\"},\n {\"box_2d\": [333, 664, 372, 688], \"label\": \"chicory seed\"},\n {\"box_2d\": [356, 677, 390, 712], \"label\": \"chicory seed\"},\n {\"box_2d\": [355, 729, 387, 767], \"label\": \"chicory seed\"},\n {\"box_2d\": [350, 173, 381, 211], \"label\": \"chicory seed\"},\n {\"box_2d\": [351, 198, 384, 232], \"label\": \"chicory seed\"},\n {\"box_2d\": [374, 211, 395, 255], \"label\": \"chicory seed\"},\n {\"box_2d\": [363, 260, 398, 294], \"label\": \"chicory seed\"},\n {\"box_2d\": [365, 279, 404, 309], \"label\": \"chicory seed\"},\n {\"box_2d\": [349, 309, 389, 331], \"label\": \"chicory seed\"},\n {\"box_2d\": [337, 337, 369, 375], \"label\": \"chicory seed\"},\n {\"box_2d\": [358, 328, 389, 368], \"label\": \"chicory seed\"},\n {\"box_2d\": [351, 375, 391, 399], \"label\": \"chicory seed\"},\n {\"box_2d\": [365, 390, 405, 415], \"label\": \"chicory seed\"},\n {\"box_2d\": [352, 416, 377, 459], \"label\": \"chicory seed\"},\n {\"box_2d\": [369, 413, 401, 450], \"label\": \"chicory seed\"},\n {\"box_2d\": [355, 464, 390, 499], \"label\": \"chicory seed\"},\n {\"box_2d\": [375, 451, 407, 488], \"label\": \"chicory seed\"},\n {\"box_2d\": [378, 508, 400, 550], \"label\": \"chicory seed\"},\n {\"box_2d\": [364, 548, 400, 581], \"label\": \"chicory seed\"},\n {\"box_2d\": [372, 576, 410, 608], \"label\": \"chicory seed\"},\n {\"box_2d\": [358, 597, 395, 631], \"label\": \"chicory seed\"},\n {\"box_2d\": [360, 631, 387, 671], \"label\": \"chicory seed\"},\n {\"box_2d\": [384, 634, 404, 677], \"label\": \"chicory seed\"},\n {\"box_2d\": [386, 691, 424, 724], \"label\": \"chicory seed\"},\n {\"box_2d\": [378, 711, 416, 738], \"label\": \"chicory seed\"},\n {\"box_2d\": [387, 743, 427, 767], \"label\": \"chicory seed\"},\n {\"box_2d\": [394, 761, 436, 785], \"label\": \"chicory seed\"},\n {\"box_2d\": [400, 156, 439, 177], \"label\": \"chicory seed\"},\n {\"box_2d\": [404, 179, 446, 207], \"label\": \"chicory seed\"},\n {\"box_2d\": [409, 196, 448, 224], \"label\": \"chicory seed\"},\n {\"box_2d\": [410, 216, 448, 246], \"label\": \"chicory seed\"},\n {\"box_2d\": [400, 236, 426, 279], \"label\": \"chicory seed\"},\n {\"box_2d\": [418, 245, 452, 282], \"label\": \"chicory seed\"},\n {\"box_2d\": [404, 280, 442, 303], \"label\": \"chicory seed\"},\n {\"box_2d\": [393, 311, 425, 347], \"label\": \"chicory seed\"},\n {\"box_2d\": [381, 325, 415, 363], \"label\": \"chicory seed\"},\n {\"box_2d\": [390, 363, 427, 393], \"label\": \"chicory seed\"},\n {\"box_2d\": [409, 355, 448, 389], \"label\": \"chicory seed\"},\n {\"box_2d\": [397, 391, 435, 421], \"label\": \"chicory seed\"},\n {\"box_2d\": [404, 406, 441, 441], \"label\": \"chicory seed\"},\n {\"box_2d\": [394, 438, 428, 470], \"label\": \"chicory seed\"},\n {\"box_2d\": [411, 461, 432, 505], \"label\": \"chicory seed\"},\n {\"box_2d\": [397, 489, 421, 533], \"label\": \"chicory seed\"},\n {\"box_2d\": [393, 550, 417, 592], \"label\": \"chicory seed\"},\n {\"box_2d\": [389, 602, 418, 638], \"label\": \"chicory seed\"},\n {\"box_2d\": [404, 631, 428, 673], \"label\": \"chicory seed\"},\n {\"box_2d\": [397, 672, 432, 706], \"label\": \"chicory seed\"},\n {\"box_2d\": [412, 665, 445, 700], \"label\": \"chicory seed\"},\n {\"box_2d\": [422, 710, 463, 738], \"label\": \"chicory seed\"},\n {\"box_2d\": [438, 736, 479, 761], \"label\": \"chicory seed\"},\n {\"box_2d\": [443, 757, 483, 781], \"label\": \"chicory seed\"},\n {\"box_2d\": [424, 781, 462, 806], \"label\": \"chicory seed\"},\n {\"box_2d\": [454, 149, 496, 169], \"label\": \"chicory seed\"},\n {\"box_2d\": [451, 184, 471, 228], \"label\": \"chicory seed\"},\n {\"box_2d\": [454, 240, 495, 267], \"label\": \"chicory seed\"},\n {\"box_2d\": [454, 260, 492, 293], \"label\": \"chicory seed\"},\n {\"box_2d\": [448, 289, 489, 318], \"label\": \"chicory seed\"},\n {\"box_2d\": [425, 304, 447, 345], \"label\": \"chicory seed\"},\n {\"box_2d\": [448, 312, 486, 343], \"label\": \"chicory seed\"},\n {\"box_2d\": [428, 344, 467, 370], \"label\": \"chicory seed\"},\n {\"box_2d\": [459, 333, 487, 376], \"label\": \"chicory seed\"},\n {\"box_2d\": [439, 379, 479, 410], \"label\": \"chicory seed\"},\n {\"box_2d\": [426, 410, 459, 447], \"label\": \"chicory seed\"},\n {\"box_2d\": [443, 421, 470, 462], \"label\": \"chicory seed\"},\n {\"box_2d\": [431, 472, 471, 496], \"label\": \"chicory seed\"},\n {\"box_2d\": [432, 495, 471, 518], \"label\": \"chicory seed\"},\n {\"box_2d\": [430, 517, 473, 538], \"label\": \"chicory seed\"},\n {\"box_2d\": [436, 533, 477, 556], \"label\": \"chicory seed\"},\n {\"box_2d\": [426, 553, 464, 588], \"label\": \"chicory seed\"},\n {\"box_2d\": [451, 552, 492, 574], \"label\": \"chicory seed\"},\n {\"box_2d\": [421, 583, 458, 619], \"label\": \"chicory seed\"},\n {\"box_2d\": [420, 606, 451, 646], \"label\": \"chicory seed\"},\n {\"box_2d\": [448, 606, 476, 648], \"label\": \"chicory seed\"},\n {\"box_2d\": [440, 650, 462, 692], \"label\": \"chicory seed\"},\n {\"box_2d\": [462, 653, 482, 698], \"label\": \"chicory seed\"},\n {\"box_2d\": [439, 692, 476, 725], \"label\": \"chicory seed\"},\n {\"box_2d\": [462, 725, 500, 754], \"label\": \"chicory seed\"},\n {\"box_2d\": [475, 704, 512, 737], \"label\": \"chicory seed\"},\n {\"box_2d\": [472, 197, 493, 238], \"label\": \"chicory seed\"},\n {\"box_2d\": [497, 183, 520, 221], \"label\": \"chicory seed\"},\n {\"box_2d\": [501, 209, 539, 236], \"label\": \"chicory seed\"},\n {\"box_2d\": [501, 234, 540, 261], \"label\": \"chicory seed\"},\n {\"box_2d\": [490, 262, 514, 304], \"label\": \"chicory seed\"},\n {\"box_2d\": [483, 305, 518, 340], \"label\": \"chicory seed\"},\n {\"box_2d\": [488, 338, 527, 362], \"label\": \"chicory seed\"},\n {\"box_2d\": [484, 359, 526, 381], \"label\": \"chicory seed\"},\n {\"box_2d\": [478, 381, 521, 405], \"label\": \"chicory seed\"},\n {\"box_2d\": [465, 401, 507, 424], \"label\": \"chicory seed\"},\n {\"box_2d\": [470, 430, 511, 457], \"label\": \"chicory seed\"},\n {\"box_2d\": [491, 415, 532, 440], \"label\": \"chicory seed\"},\n {\"box_2d\": [469, 486, 492, 533], \"label\": \"chicory seed\"},\n {\"box_2d\": [495, 463, 521, 505], \"label\": \"chicory seed\"},\n {\"box_2d\": [481, 511, 505, 553], \"label\": \"chicory seed\"},\n {\"box_2d\": [474, 576, 516, 601], \"label\": \"chicory seed\"},\n {\"box_2d\": [472, 594, 513, 622], \"label\": \"chicory seed\"},\n {\"box_2d\": [464, 616, 498, 654], \"label\": \"chicory seed\"},\n {\"box_2d\": [482, 623, 514, 663], \"label\": \"chicory seed\"},\n {\"box_2d\": [480, 665, 502, 709], \"label\": \"chicory seed\"},\n {\"box_2d\": [499, 632, 534, 670], \"label\": \"chicory seed\"},\n {\"box_2d\": [497, 664, 532, 698], \"label\": \"chicory seed\"},\n {\"box_2d\": [501, 682, 538, 717], \"label\": \"chicory seed\"},\n {\"box_2d\": [489, 756, 524, 795], \"label\": \"chicory seed\"},\n {\"box_2d\": [504, 141, 533, 180], \"label\": \"chicory seed\"},\n {\"box_2d\": [529, 143, 555, 187], \"label\": \"chicory seed\"},\n {\"box_2d\": [534, 222, 572, 250], \"label\": \"chicory seed\"},\n {\"box_2d\": [516, 252, 539, 292], \"label\": \"chicory seed\"},\n {\"box_2d\": [534, 251, 558, 294], \"label\": \"chicory seed\"},\n {\"box_2d\": [523, 294, 559, 330], \"label\": \"chicory seed\"},\n {\"box_2d\": [516, 326, 551, 362], \"label\": \"chicory seed\"},\n {\"box_2d\": [526, 360, 563, 390], \"label\": \"chicory seed\"},\n {\"box_2d\": [514, 388, 553, 418], \"label\": \"chicory seed\"},\n {\"box_2d\": [524, 396, 563, 426], \"label\": \"chicory seed\"},\n {\"box_2d\": [531, 412, 569, 444], \"label\": \"chicory seed\"},\n {\"box_2d\": [512, 444, 537, 486], \"label\": \"chicory seed\"},\n {\"box_2d\": [540, 431, 581, 459], \"label\": \"chicory seed\"},\n {\"box_2d\": [534, 470, 573, 504], \"label\": \"chicory seed\"},\n {\"box_2d\": [547, 454, 585, 481], \"label\": \"chicory seed\"},\n {\"box_2d\": [519, 493, 559, 525], \"label\": \"chicory seed\"},\n {\"box_2d\": [514, 514, 553, 546], \"label\": \"chicory seed\"},\n {\"box_2d\": [501, 535, 541, 562], \"label\": \"chicory seed\"},\n {\"box_2d\": [498, 553, 537, 581], \"label\": \"chicory seed\"},\n {\"box_2d\": [517, 566, 550, 608], \"label\": \"chicory seed\"},\n {\"box_2d\": [525, 588, 559, 629], \"label\": \"chicory seed\"},\n {\"box_2d\": [531, 627, 566, 667], \"label\": \"chicory seed\"},\n {\"box_2d\": [531, 657, 564, 697], \"label\": \"chicory seed\"},\n {\"box_2d\": [519, 697, 562, 728], \"label\": \"chicory seed\"},\n {\"box_2d\": [506, 724, 548, 749], \"label\": \"chicory seed\"},\n {\"box_2d\": [533, 736, 572, 766], \"label\": \"chicory seed\"},\n {\"box_2d\": [519, 761, 545, 801], \"label\": \"chicory seed\"},\n {\"box_2d\": [558, 147, 587, 184], \"label\": \"chicory seed\"},\n {\"box_2d\": [566, 165, 602, 199], \"label\": \"chicory seed\"},\n {\"box_2d\": [561, 195, 599, 229], \"label\": \"chicory seed\"},\n {\"box_2d\": [573, 210, 612, 242], \"label\": \"chicory seed\"},\n {\"box_2d\": [556, 253, 581, 297], \"label\": \"chicory seed\"},\n {\"box_2d\": [548, 324, 574, 368], \"label\": \"chicory seed\"},\n {\"box_2d\": [557, 295, 586, 338], \"label\": \"chicory seed\"},\n {\"box_2d\": [571, 278, 599, 320], \"label\": \"chicory seed\"},\n {\"box_2d\": [580, 239, 602, 282], \"label\": \"chicory seed\"},\n {\"box_2d\": [569, 340, 592, 382], \"label\": \"chicory seed\"},\n {\"box_2d\": [583, 324, 605, 370], \"label\": \"chicory seed\"},\n {\"box_2d\": [563, 398, 592, 440], \"label\": \"chicory seed\"},\n {\"box_2d\": [589, 364, 611, 411], \"label\": \"chicory seed\"},\n {\"box_2d\": [588, 406, 622, 447], \"label\": \"chicory seed\"},\n {\"box_2d\": [584, 451, 605, 494], \"label\": \"chicory seed\"},\n {\"box_2d\": [557, 491, 590, 533], \"label\": \"chicory seed\"},\n {\"box_2d\": [581, 495, 611, 538], \"label\": \"chicory seed\"},\n {\"box_2d\": [553, 542, 579, 590], \"label\": \"chicory seed\"},\n {\"box_2d\": [578, 554, 599, 603], \"label\": \"chicory seed\"},\n {\"box_2d\": [559, 595, 581, 640], \"label\": \"chicory seed\"},\n {\"box_2d\": [552, 624, 586, 666], \"label\": \"chicory seed\"},\n {\"box_2d\": [577, 609, 603, 657], \"label\": \"chicory seed\"},\n {\"box_2d\": [566, 687, 609, 712], \"label\": \"chicory seed\"},\n {\"box_2d\": [571, 668, 612, 696], \"label\": \"chicory seed\"},\n {\"box_2d\": [565, 706, 606, 738], \"label\": \"chicory seed\"},\n {\"box_2d\": [551, 714, 588, 749], \"label\": \"chicory seed\"},\n {\"box_2d\": [602, 230, 627, 274], \"label\": \"chicory seed\"},\n {\"box_2d\": [591, 267, 614, 310], \"label\": \"chicory seed\"},\n {\"box_2d\": [611, 276, 636, 319], \"label\": \"chicory seed\"},\n {\"box_2d\": [617, 241, 648, 281], \"label\": \"chicory seed\"},\n {\"box_2d\": [629, 268, 655, 311], \"label\": \"chicory seed\"},\n {\"box_2d\": [616, 311, 659, 343], \"label\": \"chicory seed\"},\n {\"box_2d\": [603, 334, 626, 377], \"label\": \"chicory seed\"},\n {\"box_2d\": [622, 346, 656, 386], \"label\": \"chicory seed\"},\n {\"box_2d\": [617, 375, 658, 407], \"label\": \"chicory seed\"},\n {\"box_2d\": [604, 411, 641, 450], \"label\": \"chicory seed\"},\n {\"box_2d\": [604, 448, 627, 492], \"label\": \"chicory seed\"},\n {\"box_2d\": [625, 424, 660, 463], \"label\": \"chicory seed\"},\n {\"box_2d\": [613, 485, 652, 510], \"label\": \"chicory seed\"},\n {\"box_2d\": [628, 465, 671, 494], \"label\": \"chicory seed\"},\n {\"box_2d\": [606, 512, 628, 555], \"label\": \"chicory seed\"},\n {\"box_2d\": [623, 502, 665, 526], \"label\": \"chicory seed\"},\n {\"box_2d\": [598, 552, 638, 582], \"label\": \"chicory seed\"},\n {\"box_2d\": [629, 530, 669, 554], \"label\": \"chicory seed\"},\n {\"box_2d\": [626, 558, 664, 586], \"label\": \"chicory seed\"},\n {\"box_2d\": [601, 596, 624, 641], \"label\": \"chicory seed\"},\n {\"box_2d\": [617, 602, 647, 645], \"label\": \"chicory seed\"},\n {\"box_2d\": [586, 655, 627, 686], \"label\": \"chicory seed\"},\n {\"box_2d\": [604, 637, 643, 669], \"label\": \"chicory seed\"},\n {\"box_2d\": [618, 672, 660, 701], \"label\": \"chicory seed\"},\n {\"box_2d\": [603, 697, 646, 722], \"label\": \"chicory seed\"},\n {\"box_2d\": [618, 721, 656, 758], \"label\": \"chicory seed\"},\n {\"box_2d\": [618, 195, 659, 229], \"label\": \"chicory seed\"},\n {\"box_2d\": [647, 232, 690, 256], \"label\": \"chicory seed\"},\n {\"box_2d\": [639, 254, 681, 281], \"label\": \"chicory seed\"},\n {\"box_2d\": [654, 280, 697, 304], \"label\": \"chicory seed\"},\n {\"box_2d\": [656, 301, 686, 342], \"label\": \"chicory seed\"},\n {\"box_2d\": [644, 329, 669, 372], \"label\": \"chicory seed\"},\n {\"box_2d\": [654, 370, 682, 412], \"label\": \"chicory seed\"},\n {\"box_2d\": [655, 404, 696, 431], \"label\": \"chicory seed\"},\n {\"box_2d\": [647, 427, 681, 466], \"label\": \"chicory seed\"},\n {\"box_2d\": [660, 443, 684, 488], \"label\": \"chicory seed\"},\n {\"box_2d\": [640, 586, 673, 624], \"label\": \"chicory seed\"},\n {\"box_2d\": [642, 640, 679, 678], \"label\": \"chicory seed\"},\n {\"box_2d\": [654, 672, 694, 706], \"label\": \"chicory seed\"},\n {\"box_2d\": [643, 711, 674, 752], \"label\": \"chicory seed\"},\n {\"box_2d\": [661, 202, 699, 234], \"label\": \"chicory seed\"},\n {\"box_2d\": [680, 243, 706, 286], \"label\": \"chicory seed\"},\n {\"box_2d\": [700, 245, 730, 285], \"label\": \"chicory seed\"},\n {\"box_2d\": [696, 281, 725, 321], \"label\": \"chicory seed\"},\n {\"box_2d\": [678, 301, 704, 344], \"label\": \"chicory seed\"},\n {\"box_2d\": [670, 342, 709, 373], \"label\": \"chicory seed\"},\n {\"box_2d\": [694, 357, 720, 404], \"label\": \"chicory seed\"},\n {\"box_2d\": [702, 321, 737, 360], \"label\": \"chicory seed\"},\n {\"box_2d\": [714, 355, 740, 399], \"label\": \"chicory seed\"},\n {\"box_2d\": [703, 401, 744, 427], \"label\": \"chicory seed\"},\n {\"box_2d\": [682, 418, 703, 460], \"label\": \"chicory seed\"},\n {\"box_2d\": [708, 419, 750, 447], \"label\": \"chicory seed\"},\n {\"box_2d\": [692, 450, 732, 480], \"label\": \"chicory seed\"},\n {\"box_2d\": [673, 481, 704, 524], \"label\": \"chicory seed\"},\n {\"box_2d\": [692, 484, 720, 529], \"label\": \"chicory seed\"},\n {\"box_2d\": [665, 520, 701, 560], \"label\": \"chicory seed\"},\n {\"box_2d\": [695, 550, 735, 578], \"label\": \"chicory seed\"},\n {\"box_2d\": [679, 601, 707, 645], \"label\": \"chicory seed\"},\n {\"box_2d\": [695, 643, 735, 668], \"label\": \"chicory seed\"},\n {\"box_2d\": [718, 282, 748, 327], \"label\": \"chicory seed\"},\n {\"box_2d\": [722, 316, 753, 358], \"label\": \"chicory seed\"},\n {\"box_2d\": [737, 364, 762, 408], \"label\": \"chicory seed\"},\n {\"box_2d\": [718, 461, 748, 504], \"label\": \"chicory seed\"},\n {\"box_2d\": [735, 463, 769, 502], \"label\": \"chicory seed\"},\n {\"box_2d\": [711, 497, 746, 536], \"label\": \"chicory seed\"},\n {\"box_2d\": [742, 501, 773, 543], \"label\": \"chicory seed\"},\n {\"box_2d\": [728, 540, 755, 584], \"label\": \"chicory seed\"},\n {\"box_2d\": [715, 578, 743, 621], \"label\": \"chicory seed\"},\n {\"box_2d\": [738, 577, 771, 616], \"label\": \"chicory seed\"},\n {\"box_2d\": [729, 620, 754, 667], \"label\": \"chicory seed\"},\n {\"box_2d\": [742, 283, 770, 329], \"label\": \"chicory seed\"},\n {\"box_2d\": [755, 346, 778, 390], \"label\": \"chicory seed\"},\n {\"box_2d\": [759, 400, 799, 427], \"label\": \"chicory seed\"},\n {\"box_2d\": [741, 420, 778, 458], \"label\": \"chicory seed\"},\n {\"box_2d\": [755, 484, 786, 528], \"label\": \"chicory seed\"},\n {\"box_2d\": [773, 474, 808, 513], \"label\": \"chicory seed\"},\n {\"box_2d\": [760, 524, 799, 558], \"label\": \"chicory seed\"},\n {\"box_2d\": [749, 590, 785, 629], \"label\": \"chicory seed\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 17372, "elapsed_seconds": 124.33823854196817, "metadata": {"match_method": "map", "num_predictions": 300, "num_ground_truth": 300, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3366336524486542, "attempts": 1, "retries": 0, "total_seconds": 124.4528}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 242, "image": "4105625_ContRightUpper_f_jpg.rf.262f5072bce0f2365a2193d631224fd1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [333, 0, 621, 271], \"label\": \"shipping container wall dent\"}\n]\n```", "correct": false, "input_tokens": 1255, "output_tokens": 507, "elapsed_seconds": 10.372059165965766, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 10.4688}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 243, "image": "18_jpeg_jpg.rf.b131f08c745acace9daeeea095e0d1ef.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [84, 18, 190, 110], \"label\": \"potato\"},\n {\"box_2d\": [91, 444, 182, 541], \"label\": \"potato\"},\n {\"box_2d\": [89, 888, 214, 987], \"label\": \"potato\"},\n {\"box_2d\": [300, 178, 391, 261], \"label\": \"potato\"},\n {\"box_2d\": [282, 843, 405, 969], \"label\": \"potato\"},\n {\"box_2d\": [501, 1, 686, 61], \"label\": \"potato\"},\n {\"box_2d\": [491, 236, 622, 323], \"label\": \"potato\"},\n {\"box_2d\": [496, 448, 594, 535], \"label\": \"potato\"},\n {\"box_2d\": [500, 613, 606, 699], \"label\": \"potato\"},\n {\"box_2d\": [497, 876, 599, 958], \"label\": \"potato\"},\n {\"box_2d\": [699, 141, 813, 250], \"label\": \"potato\"},\n {\"box_2d\": [713, 355, 818, 477], \"label\": \"potato\"},\n {\"box_2d\": [719, 541, 819, 629], \"label\": \"potato\"},\n {\"box_2d\": [714, 665, 821, 750], \"label\": \"potato\"},\n {\"box_2d\": [689, 936, 795, 1000], \"label\": \"potato\"},\n {\"box_2d\": [901, 147, 1000, 253], \"label\": \"potato\"},\n {\"box_2d\": [906, 595, 1000, 692], \"label\": \"potato\"},\n {\"box_2d\": [872, 916, 986, 1000], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1240, "output_tokens": 1758, "elapsed_seconds": 16.68980804202147, "metadata": {"match_method": "map", "num_predictions": 18, "num_ground_truth": 18, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 16.7209}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 244, "image": "lot312_JPEG_jpg.rf.6c72b39304c1a45a005f911f32e89494.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [135, 480, 159, 521], \"label\": \"chicory seed\"},\n {\"box_2d\": [141, 419, 170, 460], \"label\": \"chicory seed\"},\n {\"box_2d\": [141, 538, 166, 583], \"label\": \"chicory seed\"},\n {\"box_2d\": [151, 583, 179, 623], \"label\": \"chicory seed\"},\n {\"box_2d\": [154, 469, 179, 511], \"label\": \"chicory seed\"},\n {\"box_2d\": [161, 540, 186, 584], \"label\": \"chicory seed\"},\n {\"box_2d\": [168, 320, 196, 365], \"label\": \"chicory seed\"},\n {\"box_2d\": [170, 610, 202, 652], \"label\": \"chicory seed\"},\n {\"box_2d\": [170, 656, 198, 700], \"label\": \"chicory seed\"},\n {\"box_2d\": [174, 459, 198, 505], \"label\": \"chicory seed\"},\n {\"box_2d\": [174, 577, 213, 613], \"label\": \"chicory seed\"},\n {\"box_2d\": [181, 357, 212, 399], \"label\": \"chicory seed\"},\n {\"box_2d\": [184, 530, 207, 579], \"label\": \"chicory seed\"},\n {\"box_2d\": [191, 389, 220, 431], \"label\": \"chicory seed\"},\n {\"box_2d\": [194, 450, 222, 490], \"label\": \"chicory seed\"},\n {\"box_2d\": [194, 488, 234, 519], \"label\": \"chicory seed\"},\n {\"box_2d\": [195, 666, 218, 708], \"label\": \"chicory seed\"},\n {\"box_2d\": [208, 425, 250, 465], \"label\": \"chicory seed\"},\n {\"box_2d\": [212, 344, 237, 389], \"label\": \"chicory seed\"},\n {\"box_2d\": [213, 561, 241, 606], \"label\": \"chicory seed\"},\n {\"box_2d\": [213, 728, 245, 769], \"label\": \"chicory seed\"},\n {\"box_2d\": [214, 469, 261, 499], \"label\": \"chicory seed\"},\n {\"box_2d\": [216, 265, 241, 309], \"label\": \"chicory seed\"},\n {\"box_2d\": [216, 606, 243, 650], \"label\": \"chicory seed\"},\n {\"box_2d\": [216, 653, 249, 696], \"label\": \"chicory seed\"},\n {\"box_2d\": [219, 376, 251, 415], \"label\": \"chicory seed\"},\n {\"box_2d\": [223, 309, 251, 353], \"label\": \"chicory seed\"},\n {\"box_2d\": [223, 397, 265, 430], \"label\": \"chicory seed\"},\n {\"box_2d\": [229, 515, 252, 561], \"label\": \"chicory seed\"},\n {\"box_2d\": [237, 204, 274, 243], \"label\": \"chicory seed\"},\n {\"box_2d\": [238, 347, 271, 388], \"label\": \"chicory seed\"},\n {\"box_2d\": [239, 594, 283, 626], \"label\": \"chicory seed\"},\n {\"box_2d\": [242, 426, 274, 469], \"label\": \"chicory seed\"},\n {\"box_2d\": [243, 532, 269, 575], \"label\": \"chicory seed\"},\n {\"box_2d\": [243, 669, 290, 699], \"label\": \"chicory seed\"},\n {\"box_2d\": [244, 498, 279, 538], \"label\": \"chicory seed\"},\n {\"box_2d\": [249, 747, 274, 792], \"label\": \"chicory seed\"},\n {\"box_2d\": [252, 239, 278, 284], \"label\": \"chicory seed\"},\n {\"box_2d\": [255, 570, 297, 610], \"label\": \"chicory seed\"},\n {\"box_2d\": [260, 465, 287, 506], \"label\": \"chicory seed\"},\n {\"box_2d\": [262, 376, 292, 419], \"label\": \"chicory seed\"},\n {\"box_2d\": [262, 697, 290, 742], \"label\": \"chicory seed\"},\n {\"box_2d\": [268, 413, 296, 457], \"label\": \"chicory seed\"},\n {\"box_2d\": [269, 531, 313, 562], \"label\": \"chicory seed\"},\n {\"box_2d\": [270, 492, 307, 530], \"label\": \"chicory seed\"},\n {\"box_2d\": [275, 233, 303, 277], \"label\": \"chicory seed\"},\n {\"box_2d\": [276, 627, 313, 668], \"label\": \"chicory seed\"},\n {\"box_2d\": [277, 786, 317, 819], \"label\": \"chicory seed\"},\n {\"box_2d\": [279, 174, 316, 211], \"label\": \"chicory seed\"},\n {\"box_2d\": [279, 331, 309, 372], \"label\": \"chicory seed\"},\n {\"box_2d\": [283, 693, 316, 736], \"label\": \"chicory seed\"},\n {\"box_2d\": [284, 258, 313, 300], \"label\": \"chicory seed\"},\n {\"box_2d\": [284, 450, 311, 492], \"label\": \"chicory seed\"},\n {\"box_2d\": [286, 754, 319, 792], \"label\": \"chicory seed\"},\n {\"box_2d\": [289, 661, 331, 697], \"label\": \"chicory seed\"},\n {\"box_2d\": [291, 383, 333, 411], \"label\": \"chicory seed\"},\n {\"box_2d\": [293, 412, 323, 457], \"label\": \"chicory seed\"},\n {\"box_2d\": [296, 283, 328, 331], \"label\": \"chicory seed\"},\n {\"box_2d\": [299, 545, 335, 586], \"label\": \"chicory seed\"},\n {\"box_2d\": [299, 799, 337, 836], \"label\": \"chicory seed\"},\n {\"box_2d\": [301, 211, 327, 256], \"label\": \"chicory seed\"},\n {\"box_2d\": [301, 497, 332, 541], \"label\": \"chicory seed\"},\n {\"box_2d\": [306, 589, 348, 618], \"label\": \"chicory seed\"},\n {\"box_2d\": [307, 403, 353, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [308, 715, 335, 759], \"label\": \"chicory seed\"},\n {\"box_2d\": [309, 472, 335, 517], \"label\": \"chicory seed\"},\n {\"box_2d\": [313, 327, 355, 355], \"label\": \"chicory seed\"},\n {\"box_2d\": [314, 758, 339, 801], \"label\": \"chicory seed\"},\n {\"box_2d\": [315, 237, 348, 281], \"label\": \"chicory seed\"},\n {\"box_2d\": [316, 636, 342, 680], \"label\": \"chicory seed\"},\n {\"box_2d\": [317, 360, 358, 399], \"label\": \"chicory seed\"},\n {\"box_2d\": [321, 429, 353, 475], \"label\": \"chicory seed\"},\n {\"box_2d\": [322, 687, 361, 725], \"label\": \"chicory seed\"},\n {\"box_2d\": [325, 815, 359, 855], \"label\": \"chicory seed\"},\n {\"box_2d\": [329, 731, 367, 769], \"label\": \"chicory seed\"},\n {\"box_2d\": [331, 270, 359, 318], \"label\": \"chicory seed\"},\n {\"box_2d\": [332, 478, 358, 525], \"label\": \"chicory seed\"},\n {\"box_2d\": [333, 530, 360, 575], \"label\": \"chicory seed\"},\n {\"box_2d\": [335, 768, 376, 800], \"label\": \"chicory seed\"},\n {\"box_2d\": [342, 418, 371, 463], \"label\": \"chicory seed\"},\n {\"box_2d\": [346, 351, 386, 384], \"label\": \"chicory seed\"},\n {\"box_2d\": [351, 382, 386, 425], \"label\": \"chicory seed\"},\n {\"box_2d\": [353, 226, 381, 272], \"label\": \"chicory seed\"},\n {\"box_2d\": [354, 465, 385, 510], \"label\": \"chicory seed\"},\n {\"box_2d\": [355, 174, 384, 218], \"label\": \"chicory seed\"},\n {\"box_2d\": [356, 283, 384, 327], \"label\": \"chicory seed\"},\n {\"box_2d\": [357, 783, 390, 823], \"label\": \"chicory seed\"},\n {\"box_2d\": [357, 822, 400, 851], \"label\": \"chicory seed\"},\n {\"box_2d\": [359, 130, 396, 166], \"label\": \"chicory seed\"},\n {\"box_2d\": [361, 586, 400, 634], \"label\": \"chicory seed\"},\n {\"box_2d\": [364, 551, 406, 585], \"label\": \"chicory seed\"},\n {\"box_2d\": [366, 520, 407, 559], \"label\": \"chicory seed\"},\n {\"box_2d\": [367, 721, 409, 753], \"label\": \"chicory seed\"},\n {\"box_2d\": [368, 430, 399, 476], \"label\": \"chicory seed\"},\n {\"box_2d\": [369, 756, 404, 796], \"label\": \"chicory seed\"},\n {\"box_2d\": [373, 159, 404, 203], \"label\": \"chicory seed\"},\n {\"box_2d\": [374, 293, 412, 333], \"label\": \"chicory seed\"},\n {\"box_2d\": [374, 840, 411, 877], \"label\": \"chicory seed\"},\n {\"box_2d\": [376, 204, 404, 249], \"label\": \"chicory seed\"},\n {\"box_2d\": [378, 473, 415, 515], \"label\": \"chicory seed\"},\n {\"box_2d\": [379, 271, 421, 300], \"label\": \"chicory seed\"},\n {\"box_2d\": [379, 643, 409, 687], \"label\": \"chicory seed\"},\n {\"box_2d\": [387, 749, 424, 785], \"label\": \"chicory seed\"},\n {\"box_2d\": [390, 243, 431, 273], \"label\": \"chicory seed\"},\n {\"box_2d\": [390, 312, 429, 349], \"label\": \"chicory seed\"},\n {\"box_2d\": [391, 683, 420, 727], \"label\": \"chicory seed\"},\n {\"box_2d\": [403, 604, 449, 633], \"label\": \"chicory seed\"},\n {\"box_2d\": [406, 832, 433, 876], \"label\": \"chicory seed\"},\n {\"box_2d\": [408, 769, 445, 807], \"label\": \"chicory seed\"},\n {\"box_2d\": [409, 334, 439, 380], \"label\": \"chicory seed\"},\n {\"box_2d\": [409, 674, 432, 719], \"label\": \"chicory seed\"},\n {\"box_2d\": [413, 114, 454, 142], \"label\": \"chicory seed\"},\n {\"box_2d\": [420, 743, 465, 768], \"label\": \"chicory seed\"},\n {\"box_2d\": [422, 653, 463, 686], \"label\": \"chicory seed\"},\n {\"box_2d\": [422, 850, 452, 893], \"label\": \"chicory seed\"},\n {\"box_2d\": [423, 792, 452, 836], \"label\": \"chicory seed\"},\n {\"box_2d\": [427, 280, 457, 324], \"label\": \"chicory seed\"},\n {\"box_2d\": [428, 675, 459, 716], \"label\": \"chicory seed\"},\n {\"box_2d\": [437, 316, 480, 352], \"label\": \"chicory seed\"},\n {\"box_2d\": [438, 704, 482, 743], \"label\": \"chicory seed\"},\n {\"box_2d\": [441, 389, 471, 432], \"label\": \"chicory seed\"},\n {\"box_2d\": [441, 498, 474, 543], \"label\": \"chicory seed\"},\n {\"box_2d\": [441, 635, 485, 664], \"label\": \"chicory seed\"},\n {\"box_2d\": [445, 336, 483, 374], \"label\": \"chicory seed\"},\n {\"box_2d\": [447, 854, 479, 898], \"label\": \"chicory seed\"},\n {\"box_2d\": [449, 290, 493, 326], \"label\": \"chicory seed\"},\n {\"box_2d\": [450, 439, 494, 469], \"label\": \"chicory seed\"},\n {\"box_2d\": [451, 798, 495, 826], \"label\": \"chicory seed\"},\n {\"box_2d\": [453, 251, 485, 291], \"label\": \"chicory seed\"},\n {\"box_2d\": [456, 183, 491, 227], \"label\": \"chicory seed\"},\n {\"box_2d\": [464, 826, 505, 859], \"label\": \"chicory seed\"},\n {\"box_2d\": [465, 664, 496, 708], \"label\": \"chicory seed\"},\n {\"box_2d\": [467, 484, 506, 517], \"label\": \"chicory seed\"},\n {\"box_2d\": [468, 357, 508, 387], \"label\": \"chicory seed\"},\n {\"box_2d\": [468, 390, 499, 435], \"label\": \"chicory seed\"},\n {\"box_2d\": [470, 108, 495, 152], \"label\": \"chicory seed\"},\n {\"box_2d\": [471, 548, 513, 575], \"label\": \"chicory seed\"},\n {\"box_2d\": [471, 587, 503, 632], \"label\": \"chicory seed\"},\n {\"box_2d\": [472, 276, 510, 317], \"label\": \"chicory seed\"},\n {\"box_2d\": [472, 699, 503, 744], \"label\": \"chicory seed\"},\n {\"box_2d\": [477, 779, 517, 814], \"label\": \"chicory seed\"},\n {\"box_2d\": [478, 323, 514, 365], \"label\": \"chicory seed\"},\n {\"box_2d\": [483, 189, 519, 231], \"label\": \"chicory seed\"},\n {\"box_2d\": [489, 398, 523, 442], \"label\": \"chicory seed\"},\n {\"box_2d\": [492, 109, 518, 151], \"label\": \"chicory seed\"},\n {\"box_2d\": [492, 683, 522, 726], \"label\": \"chicory seed\"},\n {\"box_2d\": [494, 657, 529, 702], \"label\": \"chicory seed\"},\n {\"box_2d\": [497, 263, 538, 298], \"label\": \"chicory seed\"},\n {\"box_2d\": [498, 612, 543, 640], \"label\": \"chicory seed\"},\n {\"box_2d\": [506, 805, 538, 850], \"label\": \"chicory seed\"},\n {\"box_2d\": [507, 208, 545, 249], \"label\": \"chicory seed\"},\n {\"box_2d\": [508, 753, 539, 796], \"label\": \"chicory seed\"},\n {\"box_2d\": [509, 360, 549, 405], \"label\": \"chicory seed\"},\n {\"box_2d\": [510, 638, 543, 685], \"label\": \"chicory seed\"},\n {\"box_2d\": [511, 726, 554, 756], \"label\": \"chicory seed\"},\n {\"box_2d\": [513, 455, 544, 501], \"label\": \"chicory seed\"},\n {\"box_2d\": [516, 293, 546, 339], \"label\": \"chicory seed\"},\n {\"box_2d\": [519, 506, 556, 551], \"label\": \"chicory seed\"},\n {\"box_2d\": [519, 590, 562, 621], \"label\": \"chicory seed\"},\n {\"box_2d\": [524, 701, 569, 730], \"label\": \"chicory seed\"},\n {\"box_2d\": [525, 105, 565, 139], \"label\": \"chicory seed\"},\n {\"box_2d\": [526, 141, 553, 187], \"label\": \"chicory seed\"},\n {\"box_2d\": [527, 567, 570, 597], \"label\": \"chicory seed\"},\n {\"box_2d\": [529, 245, 560, 288], \"label\": \"chicory seed\"},\n {\"box_2d\": [533, 755, 565, 799], \"label\": \"chicory seed\"},\n {\"box_2d\": [537, 455, 569, 500], \"label\": \"chicory seed\"},\n {\"box_2d\": [538, 633, 568, 678], \"label\": \"chicory seed\"},\n {\"box_2d\": [543, 280, 576, 323], \"label\": \"chicory seed\"},\n {\"box_2d\": [544, 679, 590, 707], \"label\": \"chicory seed\"},\n {\"box_2d\": [546, 606, 590, 638], \"label\": \"chicory seed\"},\n {\"box_2d\": [551, 136, 586, 175], \"label\": \"chicory seed\"},\n {\"box_2d\": [554, 360, 597, 396], \"label\": \"chicory seed\"},\n {\"box_2d\": [554, 641, 597, 674], \"label\": \"chicory seed\"},\n {\"box_2d\": [559, 163, 600, 195], \"label\": \"chicory seed\"},\n {\"box_2d\": [559, 521, 598, 561], \"label\": \"chicory seed\"},\n {\"box_2d\": [564, 111, 606, 141], \"label\": \"chicory seed\"},\n {\"box_2d\": [566, 747, 594, 792], \"label\": \"chicory seed\"},\n {\"box_2d\": [569, 193, 611, 225], \"label\": \"chicory seed\"},\n {\"box_2d\": [571, 285, 601, 330], \"label\": \"chicory seed\"},\n {\"box_2d\": [572, 551, 605, 595], \"label\": \"chicory seed\"},\n {\"box_2d\": [574, 716, 616, 751], \"label\": \"chicory seed\"},\n {\"box_2d\": [574, 843, 613, 882], \"label\": \"chicory seed\"},\n {\"box_2d\": [576, 254, 617, 292], \"label\": \"chicory seed\"},\n {\"box_2d\": [584, 136, 617, 179], \"label\": \"chicory seed\"},\n {\"box_2d\": [593, 312, 620, 358], \"label\": \"chicory seed\"},\n {\"box_2d\": [594, 657, 623, 702], \"label\": \"chicory seed\"},\n {\"box_2d\": [595, 854, 635, 889], \"label\": \"chicory seed\"},\n {\"box_2d\": [597, 788, 637, 826], \"label\": \"chicory seed\"},\n {\"box_2d\": [598, 608, 642, 642], \"label\": \"chicory seed\"},\n {\"box_2d\": [601, 417, 636, 460], \"label\": \"chicory seed\"},\n {\"box_2d\": [601, 515, 641, 562], \"label\": \"chicory seed\"},\n {\"box_2d\": [603, 822, 644, 849], \"label\": \"chicory seed\"},\n {\"box_2d\": [605, 297, 645, 333], \"label\": \"chicory seed\"},\n {\"box_2d\": [606, 479, 649, 516], \"label\": \"chicory seed\"},\n {\"box_2d\": [606, 641, 642, 681], \"label\": \"chicory seed\"},\n {\"box_2d\": [607, 165, 637, 209], \"label\": \"chicory seed\"},\n {\"box_2d\": [607, 351, 637, 395], \"label\": \"chicory seed\"},\n {\"box_2d\": [618, 387, 658, 428], \"label\": \"chicory seed\"},\n {\"box_2d\": [624, 330, 661, 369], \"label\": \"chicory seed\"},\n {\"box_2d\": [626, 847, 668, 874], \"label\": \"chicory seed\"},\n {\"box_2d\": [629, 658, 664, 702], \"label\": \"chicory seed\"},\n {\"box_2d\": [632, 126, 672, 158], \"label\": \"chicory seed\"},\n {\"box_2d\": [633, 196, 671, 236], \"label\": \"chicory seed\"},\n {\"box_2d\": [634, 280, 675, 318], \"label\": \"chicory seed\"},\n {\"box_2d\": [634, 571, 674, 611], \"label\": \"chicory seed\"},\n {\"box_2d\": [635, 151, 681, 180], \"label\": \"chicory seed\"},\n {\"box_2d\": [638, 318, 676, 346], \"label\": \"chicory seed\"},\n {\"box_2d\": [639, 249, 676, 288], \"label\": \"chicory seed\"},\n {\"box_2d\": [648, 722, 690, 759], \"label\": \"chicory seed\"},\n {\"box_2d\": [650, 400, 688, 444], \"label\": \"chicory seed\"},\n {\"box_2d\": [651, 793, 691, 833], \"label\": \"chicory seed\"},\n {\"box_2d\": [657, 305, 698, 335], \"label\": \"chicory seed\"},\n {\"box_2d\": [659, 170, 702, 199], \"label\": \"chicory seed\"},\n {\"box_2d\": [660, 209, 687, 253], \"label\": \"chicory seed\"},\n {\"box_2d\": [660, 332, 701, 360], \"label\": \"chicory seed\"},\n {\"box_2d\": [662, 642, 690, 686], \"label\": \"chicory seed\"},\n {\"box_2d\": [666, 144, 708, 174], \"label\": \"chicory seed\"},\n {\"box_2d\": [666, 277, 707, 310], \"label\": \"chicory seed\"},\n {\"box_2d\": [667, 524, 701, 566], \"label\": \"chicory seed\"},\n {\"box_2d\": [668, 353, 695, 396], \"label\": \"chicory seed\"},\n {\"box_2d\": [670, 686, 708, 731], \"label\": \"chicory seed\"},\n {\"box_2d\": [673, 194, 713, 227], \"label\": \"chicory seed\"},\n {\"box_2d\": [673, 234, 701, 281], \"label\": \"chicory seed\"},\n {\"box_2d\": [674, 417, 713, 456], \"label\": \"chicory seed\"},\n {\"box_2d\": [678, 561, 717, 601], \"label\": \"chicory seed\"},\n {\"box_2d\": [678, 756, 712, 798], \"label\": \"chicory seed\"},\n {\"box_2d\": [685, 220, 720, 261], \"label\": \"chicory seed\"},\n {\"box_2d\": [686, 489, 721, 533], \"label\": \"chicory seed\"},\n {\"box_2d\": [689, 699, 728, 737], \"label\": \"chicory seed\"},\n {\"box_2d\": [689, 798, 724, 843], \"label\": \"chicory seed\"},\n {\"box_2d\": [691, 340, 724, 378], \"label\": \"chicory seed\"},\n {\"box_2d\": [691, 606, 720, 653], \"label\": \"chicory seed\"},\n {\"box_2d\": [694, 302, 722, 346], \"label\": \"chicory seed\"},\n {\"box_2d\": [697, 166, 728, 209], \"label\": \"chicory seed\"},\n {\"box_2d\": [697, 540, 740, 568], \"label\": \"chicory seed\"},\n {\"box_2d\": [699, 736, 740, 774], \"label\": \"chicory seed\"},\n {\"box_2d\": [700, 372, 728, 415], \"label\": \"chicory seed\"},\n {\"box_2d\": [704, 260, 733, 306], \"label\": \"chicory seed\"},\n {\"box_2d\": [710, 185, 750, 222], \"label\": \"chicory seed\"},\n {\"box_2d\": [711, 771, 754, 799], \"label\": \"chicory seed\"},\n {\"box_2d\": [713, 414, 741, 458], \"label\": \"chicory seed\"},\n {\"box_2d\": [715, 345, 742, 392], \"label\": \"chicory seed\"},\n {\"box_2d\": [715, 592, 749, 639], \"label\": \"chicory seed\"},\n {\"box_2d\": [718, 458, 747, 504], \"label\": \"chicory seed\"},\n {\"box_2d\": [719, 300, 749, 347], \"label\": \"chicory seed\"},\n {\"box_2d\": [719, 565, 759, 600], \"label\": \"chicory seed\"},\n {\"box_2d\": [720, 718, 759, 759], \"label\": \"chicory seed\"},\n {\"box_2d\": [722, 644, 761, 684], \"label\": \"chicory seed\"},\n {\"box_2d\": [723, 203, 766, 239], \"label\": \"chicory seed\"},\n {\"box_2d\": [731, 405, 760, 451], \"label\": \"chicory seed\"},\n {\"box_2d\": [732, 264, 762, 306], \"label\": \"chicory seed\"},\n {\"box_2d\": [732, 378, 776, 407], \"label\": \"chicory seed\"},\n {\"box_2d\": [734, 358, 777, 384], \"label\": \"chicory seed\"},\n {\"box_2d\": [737, 692, 767, 738], \"label\": \"chicory seed\"},\n {\"box_2d\": [739, 536, 783, 565], \"label\": \"chicory seed\"},\n {\"box_2d\": [740, 224, 775, 263], \"label\": \"chicory seed\"},\n {\"box_2d\": [741, 301, 785, 324], \"label\": \"chicory seed\"},\n {\"box_2d\": [745, 319, 786, 343], \"label\": \"chicory seed\"},\n {\"box_2d\": [749, 238, 792, 269], \"label\": \"chicory seed\"},\n {\"box_2d\": [750, 628, 792, 660], \"label\": \"chicory seed\"},\n {\"box_2d\": [751, 390, 795, 422], \"label\": \"chicory seed\"},\n {\"box_2d\": [752, 509, 793, 550], \"label\": \"chicory seed\"},\n {\"box_2d\": [753, 333, 796, 362], \"label\": \"chicory seed\"},\n {\"box_2d\": [756, 559, 793, 601], \"label\": \"chicory seed\"},\n {\"box_2d\": [757, 420, 800, 453], \"label\": \"chicory seed\"},\n {\"box_2d\": [759, 457, 802, 487], \"label\": \"chicory seed\"},\n {\"box_2d\": [759, 656, 793, 698], \"label\": \"chicory seed\"},\n {\"box_2d\": [759, 726, 798, 766], \"label\": \"chicory seed\"},\n {\"box_2d\": [760, 263, 785, 308], \"label\": \"chicory seed\"},\n {\"box_2d\": [763, 692, 805, 725], \"label\": \"chicory seed\"},\n {\"box_2d\": [773, 396, 814, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [774, 349, 800, 392], \"label\": \"chicory seed\"},\n {\"box_2d\": [777, 252, 812, 294], \"label\": \"chicory seed\"},\n {\"box_2d\": [777, 495, 815, 538], \"label\": \"chicory seed\"},\n {\"box_2d\": [782, 292, 817, 332], \"label\": \"chicory seed\"},\n {\"box_2d\": [795, 358, 828, 399], \"label\": \"chicory seed\"},\n {\"box_2d\": [795, 551, 829, 594], \"label\": \"chicory seed\"},\n {\"box_2d\": [796, 333, 835, 367], \"label\": \"chicory seed\"},\n {\"box_2d\": [796, 660, 830, 702], \"label\": \"chicory seed\"},\n {\"box_2d\": [802, 696, 836, 740], \"label\": \"chicory seed\"},\n {\"box_2d\": [803, 431, 833, 476], \"label\": \"chicory seed\"},\n {\"box_2d\": [806, 309, 847, 338], \"label\": \"chicory seed\"},\n {\"box_2d\": [813, 521, 856, 551], \"label\": \"chicory seed\"},\n {\"box_2d\": [819, 385, 862, 414], \"label\": \"chicory seed\"},\n {\"box_2d\": [822, 360, 864, 389], \"label\": \"chicory seed\"},\n {\"box_2d\": [824, 658, 857, 703], \"label\": \"chicory seed\"},\n {\"box_2d\": [828, 440, 858, 486], \"label\": \"chicory seed\"},\n {\"box_2d\": [829, 555, 860, 604], \"label\": \"chicory seed\"},\n {\"box_2d\": [840, 609, 871, 655], \"label\": \"chicory seed\"},\n {\"box_2d\": [856, 412, 886, 466], \"label\": \"chicory seed\"},\n {\"box_2d\": [859, 499, 887, 546], \"label\": \"chicory seed\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 18393, "elapsed_seconds": 134.74016879103146, "metadata": {"match_method": "map", "num_predictions": 291, "num_ground_truth": 291, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3465346395969391, "attempts": 1, "retries": 0, "total_seconds": 134.8738}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 245, "image": "DJI_0271_JPG_jpg.rf.58c0e5179915be4446df421b02825d3d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [555, 789, 716, 915], \"label\": \"excavator\"},\n {\"box_2d\": [321, 681, 358, 734], \"label\": \"excavator\"},\n {\"box_2d\": [265, 86, 312, 134], \"label\": \"excavator\"},\n {\"box_2d\": [224, 84, 281, 117], \"label\": \"excavator\"},\n {\"box_2d\": [184, 790, 232, 828], \"label\": \"dump truck\"},\n {\"box_2d\": [0, 360, 1000, 623], \"label\": \"tower crane\"}\n]\n```", "correct": true, "input_tokens": 1206, "output_tokens": 1137, "elapsed_seconds": 29.192230749991722, "metadata": {"match_method": "map", "num_predictions": 6, "num_ground_truth": 6, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 30.0717}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 246, "image": "IMG_3900_JPG.rf.5ee75659ac02193213ba7636038947a4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [325, 565, 391, 670], \"label\": \"50 poker chip\"},\n {\"box_2d\": [368, 485, 437, 593], \"label\": \"5 poker chip\"},\n {\"box_2d\": [357, 320, 426, 426], \"label\": \"10 poker chip\"},\n {\"box_2d\": [393, 637, 465, 749], \"label\": \"10000 poker chip\"},\n {\"box_2d\": [404, 152, 477, 265], \"label\": \"500 poker chip\"},\n {\"box_2d\": [415, 265, 489, 377], \"label\": \"10 poker chip\"},\n {\"box_2d\": [427, 422, 502, 534], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [458, 681, 536, 800], \"label\": \"50 poker chip\"},\n {\"box_2d\": [469, 326, 546, 441], \"label\": \"500 poker chip\"},\n {\"box_2d\": [482, 489, 562, 604], \"label\": \"100 poker chip\"},\n {\"box_2d\": [503, 598, 585, 718], \"label\": \"100 poker chip\"},\n {\"box_2d\": [499, 91, 582, 211], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [512, 206, 595, 326], \"label\": \"100 poker chip\"},\n {\"box_2d\": [525, 393, 608, 511], \"label\": \"10 poker chip\"},\n {\"box_2d\": [540, 740, 626, 865], \"label\": \"100 poker chip\"},\n {\"box_2d\": [566, 285, 654, 409], \"label\": \"10 poker chip\"},\n {\"box_2d\": [590, 134, 681, 264], \"label\": \"10 poker chip\"},\n {\"box_2d\": [581, 616, 672, 742], \"label\": \"5 poker chip\"},\n {\"box_2d\": [592, 469, 686, 595], \"label\": \"50 poker chip\"},\n {\"box_2d\": [623, 738, 719, 870], \"label\": \"100 poker chip\"},\n {\"box_2d\": [631, 355, 728, 485], \"label\": \"10 poker chip\"},\n {\"box_2d\": [697, 250, 803, 386], \"label\": \"20 poker chip\"},\n {\"box_2d\": [718, 397, 825, 535], \"label\": \"10 poker chip\"},\n {\"box_2d\": [689, 637, 794, 774], \"label\": \"100 poker chip\"},\n {\"box_2d\": [742, 527, 853, 669], \"label\": \"100 poker chip\"}\n]\n```", "correct": true, "input_tokens": 1252, "output_tokens": 2309, "elapsed_seconds": 34.03196454199497, "metadata": {"match_method": "map", "num_predictions": 25, "num_ground_truth": 25, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 34.6349}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 247, "image": "9AAEA6F5-FD0E-47BE-8596-0D85E5F62F1A_jpg.rf.7b7e8cbfdfc78f2c2cad6219290c51d6.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [138, 181, 189, 265], \"label\": \"pill\"},\n {\"box_2d\": [170, 211, 208, 298], \"label\": \"pill\"},\n {\"box_2d\": [138, 270, 195, 348], \"label\": \"pill\"},\n {\"box_2d\": [164, 409, 245, 454], \"label\": \"pill\"},\n {\"box_2d\": [245, 372, 300, 454], \"label\": \"pill\"},\n {\"box_2d\": [164, 466, 236, 535], \"label\": \"pill\"},\n {\"box_2d\": [160, 542, 206, 623], \"label\": \"pill\"},\n {\"box_2d\": [93, 728, 173, 766], \"label\": \"pill\"},\n {\"box_2d\": [156, 687, 224, 756], \"label\": \"pill\"},\n {\"box_2d\": [262, 204, 344, 259], \"label\": \"pill\"},\n {\"box_2d\": [381, 185, 447, 265], \"label\": \"pill\"},\n {\"box_2d\": [447, 166, 535, 208], \"label\": \"pill\"},\n {\"box_2d\": [498, 251, 574, 323], \"label\": \"pill\"},\n {\"box_2d\": [443, 328, 529, 376], \"label\": \"pill\"},\n {\"box_2d\": [452, 358, 537, 405], \"label\": \"pill\"},\n {\"box_2d\": [521, 388, 559, 476], \"label\": \"pill\"},\n {\"box_2d\": [556, 354, 591, 445], \"label\": \"pill\"},\n {\"box_2d\": [465, 443, 538, 513], \"label\": \"pill\"},\n {\"box_2d\": [600, 360, 691, 398], \"label\": \"pill\"},\n {\"box_2d\": [695, 286, 752, 376], \"label\": \"pill\"},\n {\"box_2d\": [794, 289, 845, 382], \"label\": \"pill\"},\n {\"box_2d\": [296, 432, 381, 485], \"label\": \"pill\"},\n {\"box_2d\": [287, 473, 341, 554], \"label\": \"pill\"},\n {\"box_2d\": [319, 484, 377, 565], \"label\": \"pill\"},\n {\"box_2d\": [352, 522, 435, 568], \"label\": \"pill\"},\n {\"box_2d\": [403, 528, 470, 602], \"label\": \"pill\"},\n {\"box_2d\": [442, 548, 512, 622], \"label\": \"pill\"},\n {\"box_2d\": [467, 576, 529, 654], \"label\": \"pill\"},\n {\"box_2d\": [520, 619, 597, 685], \"label\": \"pill\"},\n {\"box_2d\": [315, 567, 400, 600], \"label\": \"pill\"},\n {\"box_2d\": [312, 600, 398, 632], \"label\": \"pill\"},\n {\"box_2d\": [337, 629, 422, 662], \"label\": \"pill\"},\n {\"box_2d\": [335, 662, 420, 696], \"label\": \"pill\"},\n {\"box_2d\": [296, 689, 380, 723], \"label\": \"pill\"},\n {\"box_2d\": [295, 721, 376, 777], \"label\": \"pill\"},\n {\"box_2d\": [360, 706, 445, 752], \"label\": \"pill\"},\n {\"box_2d\": [378, 738, 463, 779], \"label\": \"pill\"},\n {\"box_2d\": [468, 728, 548, 789], \"label\": \"pill\"},\n {\"box_2d\": [555, 686, 642, 730], \"label\": \"pill\"},\n {\"box_2d\": [588, 725, 672, 781], \"label\": \"pill\"},\n {\"box_2d\": [563, 748, 647, 805], \"label\": \"pill\"},\n {\"box_2d\": [685, 639, 725, 729], \"label\": \"pill\"},\n {\"box_2d\": [719, 641, 764, 731], \"label\": \"pill\"},\n {\"box_2d\": [756, 631, 801, 722], \"label\": \"pill\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 3974, "elapsed_seconds": 42.036664749961346, "metadata": {"match_method": "map", "num_predictions": 44, "num_ground_truth": 44, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 42.4856}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 248, "image": "DJI_0237_JPG_jpg.rf.cb5e6b368dca69cc9b7bc36fb47fd6fb.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [586, 558, 750, 623], \"label\": \"excavator\"},\n {\"box_2d\": [381, 865, 434, 952], \"label\": \"concrete mixer\"},\n {\"box_2d\": [301, 180, 333, 228], \"label\": \"dump truck\"},\n {\"box_2d\": [275, 224, 306, 274], \"label\": \"dump truck\"},\n {\"box_2d\": [263, 924, 697, 1000], \"label\": \"tower crane\"},\n {\"box_2d\": [0, 831, 226, 976], \"label\": \"tower crane\"}\n]\n```", "correct": true, "input_tokens": 1209, "output_tokens": 2009, "elapsed_seconds": 40.85562216595281, "metadata": {"match_method": "map", "num_predictions": 6, "num_ground_truth": 7, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8762375712394714, "attempts": 1, "retries": 0, "total_seconds": 41.7207}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 249, "image": "42ba34_9_9_png_jpg.rf.30ad6b17178011a7360591145cf422a2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [381, 20, 421, 31], \"label\": \"goalkeeper\"},\n {\"box_2d\": [465, 165, 513, 181], \"label\": \"player\"},\n {\"box_2d\": [478, 200, 527, 211], \"label\": \"player\"},\n {\"box_2d\": [612, 256, 667, 269], \"label\": \"player\"},\n {\"box_2d\": [587, 315, 639, 328], \"label\": \"player\"},\n {\"box_2d\": [369, 307, 405, 320], \"label\": \"player\"},\n {\"box_2d\": [355, 319, 396, 330], \"label\": \"player\"},\n {\"box_2d\": [297, 408, 332, 417], \"label\": \"player\"},\n {\"box_2d\": [399, 450, 444, 464], \"label\": \"player\"},\n {\"box_2d\": [406, 454, 451, 467], \"label\": \"player\"},\n {\"box_2d\": [383, 477, 391, 482], \"label\": \"football\"},\n {\"box_2d\": [379, 478, 418, 496], \"label\": \"player\"},\n {\"box_2d\": [421, 479, 469, 490], \"label\": \"referee\"},\n {\"box_2d\": [510, 437, 563, 449], \"label\": \"player\"},\n {\"box_2d\": [471, 502, 521, 520], \"label\": \"player\"},\n {\"box_2d\": [312, 565, 346, 577], \"label\": \"player\"},\n {\"box_2d\": [399, 589, 444, 601], \"label\": \"player\"},\n {\"box_2d\": [321, 656, 359, 669], \"label\": \"player\"},\n {\"box_2d\": [442, 673, 491, 686], \"label\": \"player\"},\n {\"box_2d\": [385, 714, 425, 724], \"label\": \"player\"},\n {\"box_2d\": [397, 715, 441, 725], \"label\": \"player\"},\n {\"box_2d\": [543, 697, 601, 715], \"label\": \"player\"},\n {\"box_2d\": [612, 675, 675, 694], \"label\": \"player\"},\n {\"box_2d\": [756, 889, 825, 912], \"label\": \"referee\"}\n]\n```", "correct": false, "input_tokens": 1242, "output_tokens": 3063, "elapsed_seconds": 26.411521333036944, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5420792102813721, "attempts": 1, "retries": 0, "total_seconds": 26.494}} diff --git a/results/detection_gemini-4-argon-eap_high_20261013_074327.jsonl b/results/detection_gemini-4-argon-eap_high_20261013_074327.jsonl deleted file mode 100644 index 39c5b4e..0000000 --- a/results/detection_gemini-4-argon-eap_high_20261013_074327.jsonl +++ /dev/null @@ -1,250 +0,0 @@ -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 0, "image": "Screenshot-2024-05-16-144612_png.rf.ae5a345319058fdba768605388143544.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [164, 258, 192, 289], \"label\": \"bullet hole\"},\n {\"box_2d\": [119, 833, 145, 861], \"label\": \"bullet hole\"},\n {\"box_2d\": [244, 272, 270, 300], \"label\": \"bullet hole\"},\n {\"box_2d\": [215, 549, 238, 579], \"label\": \"bullet hole\"},\n {\"box_2d\": [288, 547, 316, 577], \"label\": \"bullet hole\"},\n {\"box_2d\": [275, 834, 298, 859], \"label\": \"bullet hole\"},\n {\"box_2d\": [349, 286, 377, 316], \"label\": \"bullet hole\"},\n {\"box_2d\": [363, 548, 391, 577], \"label\": \"bullet hole\"},\n {\"box_2d\": [419, 293, 446, 323], \"label\": \"bullet hole\"},\n {\"box_2d\": [403, 761, 431, 790], \"label\": \"bullet hole\"},\n {\"box_2d\": [418, 968, 446, 999], \"label\": \"bullet hole\"},\n {\"box_2d\": [455, 892, 483, 922], \"label\": \"bullet hole\"},\n {\"box_2d\": [529, 966, 555, 997], \"label\": \"bullet hole\"},\n {\"box_2d\": [518, 825, 546, 855], \"label\": \"bullet hole\"},\n {\"box_2d\": [575, 886, 606, 917], \"label\": \"bullet hole\"},\n {\"box_2d\": [566, 464, 595, 495], \"label\": \"bullet hole\"},\n {\"box_2d\": [649, 391, 677, 424], \"label\": \"bullet hole\"},\n {\"box_2d\": [615, 72, 642, 99], \"label\": \"bullet hole\"},\n {\"box_2d\": [703, 308, 728, 336], \"label\": \"bullet hole\"},\n {\"box_2d\": [834, 40, 860, 72], \"label\": \"bullet hole\"},\n {\"box_2d\": [891, 155, 914, 185], \"label\": \"bullet hole\"},\n {\"box_2d\": [820, 230, 849, 260], \"label\": \"bullet hole\"},\n {\"box_2d\": [818, 457, 847, 489], \"label\": \"bullet hole\"},\n {\"box_2d\": [868, 427, 894, 460], \"label\": \"bullet hole\"},\n {\"box_2d\": [833, 573, 862, 606], \"label\": \"bullet hole\"},\n {\"box_2d\": [773, 703, 803, 735], \"label\": \"bullet hole\"},\n {\"box_2d\": [840, 891, 869, 921], \"label\": \"bullet hole\"},\n {\"box_2d\": [953, 686, 986, 721], \"label\": \"bullet hole\"},\n {\"box_2d\": [955, 888, 984, 920], \"label\": \"bullet hole\"}\n]\n```", "correct": false, "input_tokens": 1226, "output_tokens": 2866, "elapsed_seconds": 22.56469754106365, "metadata": {"match_method": "map", "num_predictions": 29, "num_ground_truth": 29, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7575964331626892, "attempts": 1, "retries": 0, "total_seconds": 22.5916}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 1, "image": "img_462887999701516572_png.rf.318af6a4e9ad42c15e8fcc520375ad9b.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [307, 252, 369, 368], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [351, 236, 417, 360], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [400, 215, 467, 349], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [452, 194, 522, 338], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [513, 177, 583, 328], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [577, 155, 650, 317], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [648, 129, 728, 300], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [725, 111, 820, 287], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [289, 368, 347, 476], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [332, 358, 395, 472], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [380, 349, 446, 469], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [432, 333, 500, 463], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [490, 323, 559, 461], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [552, 311, 623, 456], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [620, 292, 695, 447], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [693, 273, 782, 439], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [311, 470, 369, 578], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [358, 467, 419, 581], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [408, 456, 474, 581], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [464, 452, 531, 585], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [523, 444, 595, 585], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [589, 437, 661, 585], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [659, 427, 740, 583], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [734, 414, 830, 580], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [294, 574, 355, 687], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [339, 574, 402, 692], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [386, 572, 453, 695], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [441, 571, 509, 703], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [499, 573, 569, 713], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [564, 572, 636, 720], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [632, 569, 709, 726], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [705, 566, 799, 734], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [314, 681, 377, 801], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [360, 685, 427, 811], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [409, 687, 478, 824], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [466, 691, 537, 839], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [526, 696, 597, 856], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [593, 701, 666, 868], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [662, 709, 746, 886], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [739, 718, 835, 904], \"label\": \"full portable gas cylinder\"}\n]\n```", "correct": true, "input_tokens": 1217, "output_tokens": 2872, "elapsed_seconds": 30.51282425003592, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 40, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 30.8208}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 2, "image": "basketball-player-detection_boston-celtics-new-york-knicks-game-1-q1-03-16-03-11-0135_png.rf.87404d3bb76bef98d9e926e5ec1e2966.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [266, 291, 298, 307], \"label\": \"basketball\"},\n {\"box_2d\": [266, 298, 340, 337], \"label\": \"basket rim\"},\n {\"box_2d\": [275, 319, 620, 381], \"label\": \"player doing layup dunk\"},\n {\"box_2d\": [275, 319, 620, 381], \"label\": \"player\"},\n {\"box_2d\": [380, 285, 641, 386], \"label\": \"player\"},\n {\"box_2d\": [370, 370, 597, 434], \"label\": \"player\"},\n {\"box_2d\": [461, 411, 703, 487], \"label\": \"player\"},\n {\"box_2d\": [523, 453, 551, 463], \"label\": \"jersey number\"},\n {\"box_2d\": [631, 348, 901, 417], \"label\": \"player\"},\n {\"box_2d\": [702, 377, 735, 391], \"label\": \"jersey number\"},\n {\"box_2d\": [836, 411, 998, 471], \"label\": \"referee\"},\n {\"box_2d\": [898, 429, 924, 444], \"label\": \"jersey number\"},\n {\"box_2d\": [284, 265, 475, 305], \"label\": \"referee\"},\n {\"box_2d\": [273, 672, 502, 736], \"label\": \"player\"},\n {\"box_2d\": [339, 704, 360, 712], \"label\": \"jersey number\"},\n {\"box_2d\": [408, 799, 686, 852], \"label\": \"player\"},\n {\"box_2d\": [656, 725, 954, 821], \"label\": \"player\"},\n {\"box_2d\": [728, 777, 760, 801], \"label\": \"jersey number\"},\n {\"box_2d\": [746, 879, 997, 965], \"label\": \"player\"}\n]\n```", "correct": false, "input_tokens": 1256, "output_tokens": 2073, "elapsed_seconds": 20.288740499992855, "metadata": {"match_method": "map", "num_predictions": 19, "num_ground_truth": 19, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5159515738487244, "attempts": 1, "retries": 0, "total_seconds": 20.4287}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 3, "image": "fall-detection_all_mp4-1653_jpg.rf.9fa9a5ca42070b76929d3ba6ab91e945.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [467, 355, 537, 515], \"label\": \"fallen person\"},\n {\"box_2d\": [509, 431, 623, 591], \"label\": \"fallen person\"},\n {\"box_2d\": [420, 206, 485, 342], \"label\": \"fallen person\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 423, "elapsed_seconds": 6.26504304097034, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 6.2885}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 4, "image": "Screenshot-2024-05-16-150857_png.rf.d53edfaec65ba17dbc56ff856e70ed0d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 745, 19, 772], \"label\": \"bullet hole\"},\n {\"box_2d\": [26, 463, 52, 488], \"label\": \"bullet hole\"},\n {\"box_2d\": [59, 518, 86, 547], \"label\": \"bullet hole\"},\n {\"box_2d\": [70, 628, 97, 656], \"label\": \"bullet hole\"},\n {\"box_2d\": [111, 825, 141, 855], \"label\": \"bullet hole\"},\n {\"box_2d\": [209, 888, 237, 918], \"label\": \"bullet hole\"},\n {\"box_2d\": [161, 617, 190, 647], \"label\": \"bullet hole\"},\n {\"box_2d\": [119, 320, 150, 350], \"label\": \"bullet hole\"},\n {\"box_2d\": [138, 209, 166, 238], \"label\": \"bullet hole\"},\n {\"box_2d\": [293, 62, 325, 92], \"label\": \"bullet hole\"},\n {\"box_2d\": [469, 143, 500, 171], \"label\": \"bullet hole\"},\n {\"box_2d\": [338, 323, 367, 352], \"label\": \"bullet hole\"},\n {\"box_2d\": [437, 309, 467, 339], \"label\": \"bullet hole\"},\n {\"box_2d\": [520, 540, 550, 570], \"label\": \"bullet hole\"},\n {\"box_2d\": [436, 670, 466, 701], \"label\": \"bullet hole\"},\n {\"box_2d\": [614, 405, 646, 437], \"label\": \"bullet hole\"},\n {\"box_2d\": [682, 266, 713, 296], \"label\": \"bullet hole\"},\n {\"box_2d\": [779, 363, 811, 396], \"label\": \"bullet hole\"},\n {\"box_2d\": [709, 565, 741, 597], \"label\": \"bullet hole\"},\n {\"box_2d\": [690, 720, 721, 752], \"label\": \"bullet hole\"},\n {\"box_2d\": [408, 920, 437, 949], \"label\": \"bullet hole\"},\n {\"box_2d\": [546, 962, 576, 992], \"label\": \"bullet hole\"},\n {\"box_2d\": [608, 880, 639, 909], \"label\": \"bullet hole\"},\n {\"box_2d\": [811, 810, 839, 839], \"label\": \"bullet hole\"},\n {\"box_2d\": [921, 631, 951, 661], \"label\": \"bullet hole\"},\n {\"box_2d\": [985, 523, 1000, 552], \"label\": \"bullet hole\"},\n {\"box_2d\": [954, 976, 987, 1000], \"label\": \"bullet hole\"},\n {\"box_2d\": [799, 227, 832, 258], \"label\": \"bullet hole\"},\n {\"box_2d\": [890, 184, 921, 214], \"label\": \"bullet hole\"},\n {\"box_2d\": [982, 181, 1000, 210], \"label\": \"bullet hole\"},\n {\"box_2d\": [797, 0, 827, 19], \"label\": \"bullet hole\"},\n {\"box_2d\": [623, 0, 651, 22], \"label\": \"bullet hole\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 4213, "elapsed_seconds": 35.46845766704064, "metadata": {"match_method": "map", "num_predictions": 32, "num_ground_truth": 32, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 35.497}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 5, "image": "oil-tank-detection_oiltank_9_jpg.rf.acb372553a5f5f447313e4035eef562f.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [115, 96, 233, 204], \"label\": \"oil tank\"},\n {\"box_2d\": [111, 229, 229, 336], \"label\": \"oil tank\"},\n {\"box_2d\": [107, 362, 224, 469], \"label\": \"oil tank\"},\n {\"box_2d\": [100, 496, 217, 602], \"label\": \"oil tank\"},\n {\"box_2d\": [95, 628, 214, 735], \"label\": \"oil tank\"},\n {\"box_2d\": [91, 760, 208, 868], \"label\": \"oil tank\"},\n {\"box_2d\": [270, 99, 389, 208], \"label\": \"oil tank\"},\n {\"box_2d\": [263, 235, 382, 341], \"label\": \"oil tank\"},\n {\"box_2d\": [259, 368, 377, 474], \"label\": \"oil tank\"},\n {\"box_2d\": [251, 502, 372, 609], \"label\": \"oil tank\"},\n {\"box_2d\": [244, 634, 368, 742], \"label\": \"oil tank\"},\n {\"box_2d\": [239, 768, 360, 875], \"label\": \"oil tank\"},\n {\"box_2d\": [480, 96, 605, 209], \"label\": \"oil tank\"},\n {\"box_2d\": [477, 233, 601, 344], \"label\": \"oil tank\"},\n {\"box_2d\": [472, 367, 597, 480], \"label\": \"oil tank\"},\n {\"box_2d\": [468, 504, 592, 616], \"label\": \"oil tank\"},\n {\"box_2d\": [461, 639, 584, 751], \"label\": \"oil tank\"},\n {\"box_2d\": [626, 366, 755, 484], \"label\": \"oil tank\"},\n {\"box_2d\": [619, 508, 749, 621], \"label\": \"oil tank\"},\n {\"box_2d\": [613, 646, 742, 760], \"label\": \"oil tank\"}\n]\n```", "correct": true, "input_tokens": 1217, "output_tokens": 1895, "elapsed_seconds": 19.276027583982795, "metadata": {"match_method": "map", "num_predictions": 20, "num_ground_truth": 20, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 19.355}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 6, "image": "signatures_image_38_png_jpg.rf.1d9c4bd922f8563e58275de808cd3984.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [364, 745, 410, 931], \"label\": \"signature\"},\n {\"box_2d\": [439, 643, 469, 703], \"label\": \"signature\"},\n {\"box_2d\": [860, 758, 918, 949], \"label\": \"signature\"},\n {\"box_2d\": [951, 632, 982, 695], \"label\": \"signature\"}\n]\n```", "correct": true, "input_tokens": 1211, "output_tokens": 1827, "elapsed_seconds": 19.965841416968033, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 19.9965}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 7, "image": "1704193901210_jpg.rf.2395376f26cee29d85e60b22c59c37b4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [266, 411, 328, 470], \"label\": \"corn kernel\"},\n {\"box_2d\": [310, 527, 355, 600], \"label\": \"corn kernel\"},\n {\"box_2d\": [404, 316, 474, 372], \"label\": \"corn kernel\"},\n {\"box_2d\": [418, 617, 475, 681], \"label\": \"corn kernel\"},\n {\"box_2d\": [454, 783, 502, 845], \"label\": \"corn kernel\"},\n {\"box_2d\": [513, 770, 579, 813], \"label\": \"corn kernel\"},\n {\"box_2d\": [531, 654, 583, 728], \"label\": \"corn kernel\"},\n {\"box_2d\": [540, 425, 590, 490], \"label\": \"corn kernel\"},\n {\"box_2d\": [576, 263, 637, 305], \"label\": \"corn kernel\"},\n {\"box_2d\": [616, 563, 678, 611], \"label\": \"corn kernel\"},\n {\"box_2d\": [608, 748, 660, 807], \"label\": \"corn kernel\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 1186, "elapsed_seconds": 10.29463216708973, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 10.3143}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 8, "image": "IMG_0620_jpeg.rf.0c9c3b0a23079483a0b0e1651801d9a9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [288, 383, 368, 474], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [280, 511, 377, 583], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [284, 580, 391, 644], \"label\": \"caramel corn jelly bean\"},\n {\"box_2d\": [377, 263, 491, 329], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [396, 388, 501, 480], \"label\": \"peach jelly bean\"},\n {\"box_2d\": [381, 510, 488, 595], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [506, 330, 642, 414], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [488, 512, 613, 594], \"label\": \"peach jelly bean\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 1316, "elapsed_seconds": 15.51967008295469, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 15.5688}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 9, "image": "paper-parts_163482_102_jpg.rf.d878bfe8193ad78ee6e9bd012ea9324e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [92, 118, 108, 573], \"label\": \"subsection\"},\n {\"box_2d\": [127, 118, 142, 708], \"label\": \"paragraph\"},\n {\"box_2d\": [196, 334, 344, 668], \"label\": \"figure\"},\n {\"box_2d\": [368, 341, 383, 658], \"label\": \"figure caption\"},\n {\"box_2d\": [431, 118, 447, 493], \"label\": \"subsection\"},\n {\"box_2d\": [466, 118, 513, 862], \"label\": \"paragraph\"},\n {\"box_2d\": [529, 334, 566, 667], \"label\": \"equation\"},\n {\"box_2d\": [580, 421, 608, 579], \"label\": \"equation\"},\n {\"box_2d\": [623, 118, 638, 613], \"label\": \"paragraph\"},\n {\"box_2d\": [654, 338, 691, 663], \"label\": \"equation\"},\n {\"box_2d\": [706, 431, 734, 570], \"label\": \"equation\"},\n {\"box_2d\": [749, 118, 764, 548], \"label\": \"paragraph\"},\n {\"box_2d\": [779, 329, 816, 672], \"label\": \"equation\"},\n {\"box_2d\": [831, 431, 859, 570], \"label\": \"equation\"},\n {\"box_2d\": [922, 491, 937, 509], \"label\": \"page number\"}\n]\n```", "correct": true, "input_tokens": 1250, "output_tokens": 1873, "elapsed_seconds": 18.33632895804476, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 14, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 18.3801}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 10, "image": "20210325_203432_jpg.rf.8eb2129f7a101d085f4cb925da755682.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [103, 273, 310, 480], \"label\": \"50 euro cent coin\"},\n {\"box_2d\": [134, 613, 294, 773], \"label\": \"2 euro cent coin\"},\n {\"box_2d\": [288, 459, 457, 629], \"label\": \"10 euro cent coin\"},\n {\"box_2d\": [331, 657, 521, 849], \"label\": \"20 euro cent coin\"},\n {\"box_2d\": [375, 160, 576, 362], \"label\": \"1 euro coin\"},\n {\"box_2d\": [535, 417, 676, 557], \"label\": \"1 euro cent coin\"},\n {\"box_2d\": [700, 200, 882, 384], \"label\": \"5 euro cent coin\"},\n {\"box_2d\": [650, 541, 871, 764], \"label\": \"2 euro coin\"}\n]\n```", "correct": true, "input_tokens": 1272, "output_tokens": 905, "elapsed_seconds": 10.781774749979377, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 10.8128}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 11, "image": "2024-12-05T02-01-20-119Z-4010_jpg.rf.4f789285ff5c3a1889420326440bc9d1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [375, 483, 438, 531], \"label\": \"screw\"},\n {\"box_2d\": [457, 451, 617, 571], \"label\": \"wire hole\"},\n {\"box_2d\": [633, 490, 697, 538], \"label\": \"screw\"},\n {\"box_2d\": [693, 355, 738, 386], \"label\": \"screw\"},\n {\"box_2d\": [695, 615, 739, 646], \"label\": \"screw\"},\n {\"box_2d\": [829, 699, 909, 757], \"label\": \"screw\"}\n]\n```", "correct": true, "input_tokens": 1203, "output_tokens": 714, "elapsed_seconds": 10.041530541959219, "metadata": {"match_method": "map", "num_predictions": 6, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9326732158660889, "attempts": 1, "retries": 0, "total_seconds": 10.2609}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 12, "image": "Container-146_jpg.rf.1f5b3bfa7143f6b016b2b85ca3940e5c.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [158, 609, 203, 918], \"label\": \"shipping container number\"},\n {\"box_2d\": [213, 748, 252, 826], \"label\": \"container ISO type code\"}\n]\n```", "correct": true, "input_tokens": 1232, "output_tokens": 377, "elapsed_seconds": 6.102889665984549, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 6.1193}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 13, "image": "GP010248_JPG_jpg.rf.c2ac2602f1905971af1173c3ba311542.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [230, 300, 286, 496], \"label\": \"carrot\"},\n {\"box_2d\": [270, 279, 308, 459], \"label\": \"carrot\"},\n {\"box_2d\": [288, 179, 353, 412], \"label\": \"carrot\"},\n {\"box_2d\": [345, 118, 388, 357], \"label\": \"carrot\"},\n {\"box_2d\": [374, 145, 439, 341], \"label\": \"carrot\"},\n {\"box_2d\": [366, 39, 521, 149], \"label\": \"carrot\"},\n {\"box_2d\": [465, 29, 712, 141], \"label\": \"carrot\"},\n {\"box_2d\": [403, 120, 675, 189], \"label\": \"carrot\"},\n {\"box_2d\": [345, 226, 488, 442], \"label\": \"carrot\"},\n {\"box_2d\": [478, 188, 684, 276], \"label\": \"carrot\"},\n {\"box_2d\": [445, 224, 681, 329], \"label\": \"carrot\"},\n {\"box_2d\": [493, 263, 669, 366], \"label\": \"carrot\"},\n {\"box_2d\": [512, 339, 682, 381], \"label\": \"carrot\"},\n {\"box_2d\": [429, 372, 614, 412], \"label\": \"carrot\"},\n {\"box_2d\": [386, 368, 667, 454], \"label\": \"carrot\"},\n {\"box_2d\": [631, 278, 719, 474], \"label\": \"carrot\"},\n {\"box_2d\": [649, 416, 695, 585], \"label\": \"carrot\"},\n {\"box_2d\": [558, 472, 661, 672], \"label\": \"carrot\"},\n {\"box_2d\": [606, 569, 651, 718], \"label\": \"carrot\"},\n {\"box_2d\": [527, 450, 613, 574], \"label\": \"carrot\"},\n {\"box_2d\": [495, 449, 580, 597], \"label\": \"carrot\"},\n {\"box_2d\": [439, 565, 586, 710], \"label\": \"carrot\"},\n {\"box_2d\": [377, 441, 442, 622], \"label\": \"carrot\"},\n {\"box_2d\": [352, 478, 415, 683], \"label\": \"carrot\"},\n {\"box_2d\": [334, 545, 367, 716], \"label\": \"carrot\"},\n {\"box_2d\": [304, 470, 338, 688], \"label\": \"carrot\"},\n {\"box_2d\": [218, 613, 330, 761], \"label\": \"carrot\"},\n {\"box_2d\": [420, 659, 549, 797], \"label\": \"carrot\"},\n {\"box_2d\": [536, 707, 645, 848], \"label\": \"carrot\"},\n {\"box_2d\": [242, 757, 474, 825], \"label\": \"carrot\"},\n {\"box_2d\": [352, 791, 579, 932], \"label\": \"carrot\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 2995, "elapsed_seconds": 24.367194000049494, "metadata": {"match_method": "map", "num_predictions": 31, "num_ground_truth": 31, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 24.393}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 14, "image": "DJI_20230529095953_0646_T_JPG_jpg.rf.9806615efd3123cda770b6e1a3358930.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [231, 56, 251, 72], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [221, 146, 242, 162], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [180, 618, 201, 635], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [175, 663, 198, 679], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [583, 368, 604, 383], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [574, 458, 597, 474], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [570, 503, 592, 519], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [556, 638, 579, 654], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [554, 684, 576, 699], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [546, 789, 566, 804], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [926, 813, 949, 830], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [922, 858, 944, 874], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [974, 354, 994, 370], \"label\": \"solar panel hot spot\"}\n]\n```", "correct": true, "input_tokens": 1228, "output_tokens": 1535, "elapsed_seconds": 13.652250124956481, "metadata": {"match_method": "map", "num_predictions": 13, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8613861203193665, "attempts": 1, "retries": 0, "total_seconds": 13.6755}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 15, "image": "floorplan-windows-doors_1036_png.rf.377e8848ebf77a1b3fd4e54e9aaa327d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [161, 102, 184, 243], \"label\": \"window\"},\n {\"box_2d\": [163, 300, 185, 365], \"label\": \"window\"},\n {\"box_2d\": [108, 362, 249, 449], \"label\": \"door\"},\n {\"box_2d\": [167, 574, 188, 620], \"label\": \"window\"},\n {\"box_2d\": [170, 777, 190, 842], \"label\": \"window\"},\n {\"box_2d\": [113, 839, 255, 926], \"label\": \"door\"},\n {\"box_2d\": [328, 585, 382, 645], \"label\": \"door\"},\n {\"box_2d\": [318, 703, 382, 849], \"label\": \"door\"},\n {\"box_2d\": [441, 210, 504, 290], \"label\": \"door\"},\n {\"box_2d\": [491, 672, 553, 756], \"label\": \"door\"},\n {\"box_2d\": [550, 673, 616, 760], \"label\": \"door\"},\n {\"box_2d\": [654, 531, 720, 606], \"label\": \"door\"},\n {\"box_2d\": [768, 148, 789, 290], \"label\": \"window\"},\n {\"box_2d\": [770, 365, 845, 451], \"label\": \"door\"},\n {\"box_2d\": [768, 574, 789, 619], \"label\": \"window\"},\n {\"box_2d\": [771, 728, 793, 845], \"label\": \"window\"}\n]\n```", "correct": true, "input_tokens": 1211, "output_tokens": 3092, "elapsed_seconds": 31.33806116692722, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 19, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.827282726764679, "attempts": 1, "retries": 0, "total_seconds": 31.407}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 16, "image": "IMG_4942_JPG.rf.2d54601c43bd5fdd67c9d6de8428a9ef.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [298, 528, 316, 538], \"label\": \"face\"},\n {\"box_2d\": [300, 556, 317, 566], \"label\": \"face\"},\n {\"box_2d\": [301, 613, 318, 622], \"label\": \"face\"},\n {\"box_2d\": [297, 639, 316, 649], \"label\": \"face\"},\n {\"box_2d\": [333, 661, 352, 671], \"label\": \"face\"},\n {\"box_2d\": [346, 692, 365, 702], \"label\": \"face\"},\n {\"box_2d\": [352, 731, 371, 742], \"label\": \"face\"},\n {\"box_2d\": [360, 755, 380, 766], \"label\": \"face\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 1027, "elapsed_seconds": 15.183692875085399, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 9, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8811880946159363, "attempts": 1, "retries": 0, "total_seconds": 15.6962}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 17, "image": "4103433_ContLeftUpper_f_jpg.rf.c38c0a22d926bfd30646b27374a1f854.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [270, 104, 306, 125], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [316, 103, 342, 125], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [377, 102, 411, 126], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [269, 180, 322, 203], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [379, 180, 411, 205], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [325, 260, 353, 283], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [385, 259, 412, 283], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [272, 338, 298, 362], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [327, 338, 355, 362], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [389, 338, 415, 362], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [392, 417, 416, 442], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [395, 496, 421, 519], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [444, 693, 467, 718], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [487, 25, 509, 46], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [584, 98, 613, 129], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [592, 171, 618, 200], \"label\": \"shipping container wall dent\"}\n]\n```", "correct": false, "input_tokens": 1224, "output_tokens": 2958, "elapsed_seconds": 29.871880624908954, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.006300630047917366, "attempts": 1, "retries": 0, "total_seconds": 30.0092}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 18, "image": "a9f16c_8_1_png_jpg.rf.21f65c07fc1fd4b937623a9b2c4bf919.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [396, 22, 439, 39], \"label\": \"goalkeeper\"},\n {\"box_2d\": [344, 978, 386, 992], \"label\": \"goalkeeper\"},\n {\"box_2d\": [410, 401, 450, 417], \"label\": \"referee\"},\n {\"box_2d\": [853, 956, 935, 979], \"label\": \"referee\"},\n {\"box_2d\": [644, 560, 655, 567], \"label\": \"football\"},\n {\"box_2d\": [821, 279, 890, 301], \"label\": \"player\"},\n {\"box_2d\": [645, 279, 708, 299], \"label\": \"player\"},\n {\"box_2d\": [551, 189, 602, 213], \"label\": \"player\"},\n {\"box_2d\": [540, 206, 588, 228], \"label\": \"player\"},\n {\"box_2d\": [473, 206, 524, 226], \"label\": \"player\"},\n {\"box_2d\": [416, 231, 459, 246], \"label\": \"player\"},\n {\"box_2d\": [421, 287, 463, 303], \"label\": \"player\"},\n {\"box_2d\": [345, 271, 386, 284], \"label\": \"player\"},\n {\"box_2d\": [340, 297, 378, 309], \"label\": \"player\"},\n {\"box_2d\": [272, 326, 308, 338], \"label\": \"player\"},\n {\"box_2d\": [238, 408, 268, 416], \"label\": \"player\"},\n {\"box_2d\": [308, 449, 349, 461], \"label\": \"player\"},\n {\"box_2d\": [304, 468, 341, 478], \"label\": \"player\"},\n {\"box_2d\": [440, 403, 492, 419], \"label\": \"player\"},\n {\"box_2d\": [374, 534, 414, 545], \"label\": \"player\"},\n {\"box_2d\": [424, 524, 469, 533], \"label\": \"player\"},\n {\"box_2d\": [500, 514, 554, 528], \"label\": \"player\"},\n {\"box_2d\": [593, 562, 652, 586], \"label\": \"player\"},\n {\"box_2d\": [246, 647, 274, 655], \"label\": \"player\"},\n {\"box_2d\": [338, 729, 378, 740], \"label\": \"player\"}\n]\n```", "correct": true, "input_tokens": 1242, "output_tokens": 3791, "elapsed_seconds": 33.36553933296818, "metadata": {"match_method": "map", "num_predictions": 25, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9158415794372559, "attempts": 1, "retries": 0, "total_seconds": 33.4879}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 19, "image": "20230220_113558_jpg.rf.d5df52cc566f78f19b292c4a237d076c.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [759, 438, 955, 462], \"label\": \"crack\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 312, "elapsed_seconds": 5.714379083015956, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 5.734}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 20, "image": "frame_0277_jpg.rf.c6aa8dac950a9954eaaa15c2c1350db2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [11, 128, 69, 171], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [193, 127, 258, 175], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [333, 88, 405, 134], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 241, 35, 270], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 268, 39, 300], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 301, 45, 338], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [134, 245, 195, 289], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [283, 237, 356, 281], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [443, 226, 524, 270], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [855, 216, 940, 265], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [31, 358, 86, 393], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [255, 367, 323, 407], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [1, 410, 47, 439], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 447, 50, 482], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [54, 429, 123, 465], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [165, 432, 225, 468], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [333, 454, 405, 493], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [403, 465, 468, 508], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [604, 436, 677, 483], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [865, 493, 916, 538], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [6, 494, 51, 528], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [30, 525, 94, 560], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [208, 531, 273, 572], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [308, 545, 368, 579], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [449, 584, 511, 622], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [541, 552, 624, 592], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [4, 540, 47, 567], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 564, 52, 593], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [94, 626, 149, 659], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [210, 639, 274, 673], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [326, 655, 391, 691], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [456, 674, 515, 712], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [628, 688, 665, 733], \"label\": \"garlic on conveyor\"}\n]\n```", "correct": false, "input_tokens": 1238, "output_tokens": 3258, "elapsed_seconds": 30.16860024991911, "metadata": {"match_method": "map", "num_predictions": 33, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7638763785362244, "attempts": 1, "retries": 0, "total_seconds": 30.303}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 21, "image": "construction-safety_ppe_0034_jpg.rf.38e91c4daafe26a0be27d2c1133af960.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [309, 77, 916, 200], \"label\": \"person\"},\n {\"box_2d\": [309, 134, 355, 182], \"label\": \"safety helmet\"},\n {\"box_2d\": [405, 97, 610, 195], \"label\": \"safety vest\"},\n {\"box_2d\": [374, 190, 918, 299], \"label\": \"person\"},\n {\"box_2d\": [374, 226, 418, 272], \"label\": \"safety helmet\"},\n {\"box_2d\": [460, 190, 672, 289], \"label\": \"safety vest\"},\n {\"box_2d\": [386, 290, 912, 386], \"label\": \"person\"},\n {\"box_2d\": [386, 321, 434, 366], \"label\": \"safety helmet\"},\n {\"box_2d\": [474, 291, 676, 384], \"label\": \"safety vest\"},\n {\"box_2d\": [382, 391, 908, 487], \"label\": \"person\"},\n {\"box_2d\": [382, 417, 433, 460], \"label\": \"safety helmet\"},\n {\"box_2d\": [465, 391, 718, 487], \"label\": \"safety vest\"},\n {\"box_2d\": [411, 479, 905, 560], \"label\": \"person\"},\n {\"box_2d\": [411, 501, 460, 545], \"label\": \"safety helmet\"},\n {\"box_2d\": [499, 483, 706, 560], \"label\": \"safety vest\"},\n {\"box_2d\": [372, 540, 905, 646], \"label\": \"person\"},\n {\"box_2d\": [372, 569, 412, 610], \"label\": \"safety helmet\"},\n {\"box_2d\": [449, 549, 691, 645], \"label\": \"safety vest\"},\n {\"box_2d\": [388, 631, 908, 731], \"label\": \"person\"},\n {\"box_2d\": [388, 661, 430, 702], \"label\": \"safety helmet\"},\n {\"box_2d\": [469, 645, 659, 730], \"label\": \"safety vest\"},\n {\"box_2d\": [366, 709, 911, 822], \"label\": \"person\"},\n {\"box_2d\": [366, 735, 408, 779], \"label\": \"safety helmet\"},\n {\"box_2d\": [450, 719, 643, 813], \"label\": \"safety vest\"},\n {\"box_2d\": [340, 807, 911, 922], \"label\": \"person\"},\n {\"box_2d\": [340, 832, 383, 878], \"label\": \"safety helmet\"},\n {\"box_2d\": [418, 824, 625, 911], \"label\": \"safety vest\"}\n]\n```", "correct": true, "input_tokens": 1222, "output_tokens": 1856, "elapsed_seconds": 15.903433082974516, "metadata": {"match_method": "map", "num_predictions": 27, "num_ground_truth": 27, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 15.9971}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 22, "image": "2024-12-05T02-00-55-647Z-1001_jpg.rf.c0a64fec0c1e44672b8338dc3d88f40e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [264, 675, 341, 732], \"label\": \"screw\"},\n {\"box_2d\": [521, 678, 596, 735], \"label\": \"screw\"},\n {\"box_2d\": [428, 539, 500, 592], \"label\": \"cable screw\"},\n {\"box_2d\": [592, 308, 735, 405], \"label\": \"wire hole\"}\n]\n```", "correct": false, "input_tokens": 1206, "output_tokens": 1077, "elapsed_seconds": 13.534089958062395, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6666666269302368, "attempts": 1, "retries": 0, "total_seconds": 13.8484}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 23, "image": "uav20221018_ixfZ_3857_391_png.rf.363cfc1a99bee6043b1535d35e5cf8f5.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 245, 42, 286], \"label\": \"banana tree\"},\n {\"box_2d\": [35, 303, 72, 336], \"label\": \"banana tree\"},\n {\"box_2d\": [70, 247, 110, 279], \"label\": \"banana tree\"},\n {\"box_2d\": [0, 551, 22, 581], \"label\": \"banana tree\"},\n {\"box_2d\": [22, 504, 59, 536], \"label\": \"banana tree\"},\n {\"box_2d\": [61, 556, 97, 583], \"label\": \"banana tree\"},\n {\"box_2d\": [128, 556, 165, 591], \"label\": \"banana tree\"},\n {\"box_2d\": [157, 497, 207, 536], \"label\": \"banana tree\"},\n {\"box_2d\": [194, 543, 245, 586], \"label\": \"banana tree\"},\n {\"box_2d\": [226, 493, 272, 531], \"label\": \"banana tree\"},\n {\"box_2d\": [272, 546, 315, 579], \"label\": \"banana tree\"},\n {\"box_2d\": [302, 501, 344, 536], \"label\": \"banana tree\"},\n {\"box_2d\": [339, 551, 376, 591], \"label\": \"banana tree\"},\n {\"box_2d\": [368, 495, 415, 543], \"label\": \"banana tree\"},\n {\"box_2d\": [410, 549, 449, 587], \"label\": \"banana tree\"},\n {\"box_2d\": [438, 498, 481, 531], \"label\": \"banana tree\"},\n {\"box_2d\": [0, 731, 32, 769], \"label\": \"banana tree\"},\n {\"box_2d\": [20, 795, 65, 833], \"label\": \"banana tree\"},\n {\"box_2d\": [60, 725, 102, 769], \"label\": \"banana tree\"},\n {\"box_2d\": [91, 797, 134, 829], \"label\": \"banana tree\"},\n {\"box_2d\": [127, 735, 174, 773], \"label\": \"banana tree\"},\n {\"box_2d\": [158, 791, 206, 831], \"label\": \"banana tree\"},\n {\"box_2d\": [200, 736, 237, 770], \"label\": \"banana tree\"},\n {\"box_2d\": [232, 798, 272, 832], \"label\": \"banana tree\"},\n {\"box_2d\": [269, 735, 311, 770], \"label\": \"banana tree\"},\n {\"box_2d\": [307, 800, 346, 835], \"label\": \"banana tree\"},\n {\"box_2d\": [340, 732, 381, 775], \"label\": \"banana tree\"},\n {\"box_2d\": [373, 796, 418, 832], \"label\": \"banana tree\"},\n {\"box_2d\": [406, 739, 448, 777], \"label\": \"banana tree\"},\n {\"box_2d\": [432, 797, 480, 840], \"label\": \"banana tree\"},\n {\"box_2d\": [476, 737, 521, 779], \"label\": \"banana tree\"},\n {\"box_2d\": [503, 802, 550, 830], \"label\": \"banana tree\"},\n {\"box_2d\": [544, 742, 584, 786], \"label\": \"banana tree\"},\n {\"box_2d\": [581, 794, 628, 841], \"label\": \"banana tree\"},\n {\"box_2d\": [612, 746, 653, 787], \"label\": \"banana tree\"},\n {\"box_2d\": [649, 797, 695, 843], \"label\": \"banana tree\"},\n {\"box_2d\": [678, 736, 728, 789], \"label\": \"banana tree\"},\n {\"box_2d\": [711, 801, 756, 845], \"label\": \"banana tree\"},\n {\"box_2d\": [751, 749, 792, 786], \"label\": \"banana tree\"},\n {\"box_2d\": [755, 794, 811, 836], \"label\": \"banana tree\"},\n {\"box_2d\": [28, 977, 70, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [100, 978, 139, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [172, 980, 211, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [242, 983, 279, 1000], \"label\": \"banana tree\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 2766, "elapsed_seconds": 23.3960582499858, "metadata": {"match_method": "map", "num_predictions": 44, "num_ground_truth": 43, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9993249177932739, "attempts": 1, "retries": 0, "total_seconds": 23.4979}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 24, "image": "fabric-defect_511_jpg.rf.c9746a1a958e01686335a4e0e7bec57c.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [418, 404, 569, 486], \"label\": \"fabric cut\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 275, "elapsed_seconds": 5.140800375025719, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 5.1541}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 25, "image": "z4517190691608_e13e5a7742dfd1e1497d7f34e43b9a19_jpg.rf.53f3adf34b3bcf75125b6512855911b0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [91, 326, 192, 479], \"label\": \"5 poker chip\"},\n {\"box_2d\": [128, 487, 234, 643], \"label\": \"5 poker chip\"},\n {\"box_2d\": [187, 349, 294, 506], \"label\": \"5 poker chip\"},\n {\"box_2d\": [195, 169, 303, 326], \"label\": \"5 poker chip\"},\n {\"box_2d\": [245, 481, 355, 642], \"label\": \"10 poker chip\"},\n {\"box_2d\": [526, 309, 659, 485], \"label\": \"10 poker chip\"},\n {\"box_2d\": [191, 648, 298, 811], \"label\": \"20 poker chip\"},\n {\"box_2d\": [349, 517, 467, 684], \"label\": \"20 poker chip\"},\n {\"box_2d\": [372, 353, 490, 519], \"label\": \"20 poker chip\"},\n {\"box_2d\": [461, 459, 586, 632], \"label\": \"20 poker chip\"},\n {\"box_2d\": [585, 482, 725, 666], \"label\": \"20 poker chip\"},\n {\"box_2d\": [663, 295, 810, 481], \"label\": \"20 poker chip\"},\n {\"box_2d\": [298, 672, 417, 843], \"label\": \"50 poker chip\"},\n {\"box_2d\": [591, 148, 731, 330], \"label\": \"50 poker chip\"},\n {\"box_2d\": [733, 454, 888, 648], \"label\": \"50 poker chip\"},\n {\"box_2d\": [757, 656, 916, 853], \"label\": \"50 poker chip\"},\n {\"box_2d\": [346, 111, 465, 276], \"label\": \"100 poker chip\"},\n {\"box_2d\": [433, 206, 558, 376], \"label\": \"100 poker chip\"},\n {\"box_2d\": [279, 274, 391, 434], \"label\": \"500 poker chip\"},\n {\"box_2d\": [615, 718, 759, 908], \"label\": \"500 poker chip\"},\n {\"box_2d\": [494, 635, 628, 819], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [430, 822, 559, 1000], \"label\": \"5000 poker chip\"}\n]\n```", "correct": true, "input_tokens": 1251, "output_tokens": 2376, "elapsed_seconds": 22.213372958940454, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 22.5084}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 26, "image": "floorplan-windows-doors_10156_png.rf.46b4865a81b54b57dfa53b894c0a0632.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [208, 297, 323, 359], \"label\": \"door\"},\n {\"box_2d\": [253, 240, 272, 298], \"label\": \"window\"},\n {\"box_2d\": [254, 369, 273, 474], \"label\": \"window\"},\n {\"box_2d\": [254, 646, 273, 747], \"label\": \"window\"},\n {\"box_2d\": [256, 816, 274, 860], \"label\": \"window\"},\n {\"box_2d\": [388, 807, 433, 853], \"label\": \"door\"},\n {\"box_2d\": [451, 741, 506, 801], \"label\": \"door\"},\n {\"box_2d\": [529, 751, 577, 805], \"label\": \"door\"},\n {\"box_2d\": [624, 741, 681, 802], \"label\": \"door\"},\n {\"box_2d\": [695, 234, 740, 283], \"label\": \"door\"},\n {\"box_2d\": [735, 296, 795, 359], \"label\": \"door\"},\n {\"box_2d\": [819, 295, 885, 358], \"label\": \"door\"},\n {\"box_2d\": [819, 389, 838, 491], \"label\": \"window\"},\n {\"box_2d\": [819, 649, 837, 749], \"label\": \"window\"},\n {\"box_2d\": [820, 782, 838, 839], \"label\": \"window\"},\n {\"box_2d\": [911, 266, 965, 329], \"label\": \"door\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 2491, "elapsed_seconds": 23.500468750018626, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 17, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9504950642585754, "attempts": 1, "retries": 0, "total_seconds": 23.5623}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 27, "image": "fabric-defect_323_jpg.rf.371f41f855eb62c4f2068f1bac0ca297.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [74, 590, 139, 638], \"label\": \"fabric cut\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 2079, "elapsed_seconds": 26.6613224579487, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 26.6727}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 28, "image": "54_png.rf.e797ccd3ab1732fcc95dc8f12eac1e73.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [199, 78, 303, 137], \"label\": \"not gate symbol\"},\n {\"box_2d\": [199, 178, 303, 237], \"label\": \"not gate symbol\"},\n {\"box_2d\": [199, 279, 303, 338], \"label\": \"not gate symbol\"},\n {\"box_2d\": [199, 379, 303, 437], \"label\": \"not gate symbol\"},\n {\"box_2d\": [311, 513, 434, 613], \"label\": \"and gate symbol\"},\n {\"box_2d\": [454, 513, 576, 614], \"label\": \"and gate symbol\"},\n {\"box_2d\": [595, 513, 718, 614], \"label\": \"and gate symbol\"},\n {\"box_2d\": [735, 513, 860, 614], \"label\": \"and gate symbol\"},\n {\"box_2d\": [382, 660, 505, 759], \"label\": \"or gate symbol\"},\n {\"box_2d\": [666, 659, 789, 759], \"label\": \"or gate symbol\"},\n {\"box_2d\": [523, 805, 646, 905], \"label\": \"and gate symbol\"}\n]\n```", "correct": true, "input_tokens": 1212, "output_tokens": 1190, "elapsed_seconds": 10.737923500011675, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 10.7436}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 29, "image": "IMG_3802_JPG.rf.a7e888d2c6d99ef929355eb2fffb322e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [474, 380, 506, 396], \"label\": \"face\"},\n {\"box_2d\": [480, 436, 513, 452], \"label\": \"face\"},\n {\"box_2d\": [438, 524, 468, 539], \"label\": \"face\"},\n {\"box_2d\": [303, 338, 327, 350], \"label\": \"face\"},\n {\"box_2d\": [312, 360, 335, 372], \"label\": \"face\"},\n {\"box_2d\": [233, 414, 251, 424], \"label\": \"face\"},\n {\"box_2d\": [238, 439, 256, 449], \"label\": \"face\"},\n {\"box_2d\": [250, 497, 269, 507], \"label\": \"face\"},\n {\"box_2d\": [251, 429, 272, 440], \"label\": \"face\"},\n {\"box_2d\": [197, 249, 219, 261], \"label\": \"face\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 1603, "elapsed_seconds": 20.114407041925006, "metadata": {"match_method": "map", "num_predictions": 10, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7227723002433777, "attempts": 1, "retries": 0, "total_seconds": 20.6035}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 30, "image": "DJI_20230529112019_0221_T_JPG_jpg.rf.8e72d3393da7d92494fccfb7bb75bfc8.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [72, 160, 91, 178], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [80, 200, 99, 218], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [88, 241, 105, 257], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [167, 663, 186, 680], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [175, 704, 194, 722], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [184, 745, 200, 761], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [106, 837, 125, 853], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [113, 875, 135, 893], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [210, 865, 228, 882], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [522, 656, 542, 675], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [530, 697, 548, 715], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [538, 738, 557, 756], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [545, 779, 564, 796], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [552, 819, 569, 836], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [856, 536, 875, 553], \"label\": \"solar panel hot spot\"}\n]\n```", "correct": true, "input_tokens": 1228, "output_tokens": 1681, "elapsed_seconds": 17.143677292042412, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 17, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8811880946159363, "attempts": 1, "retries": 0, "total_seconds": 17.1659}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 31, "image": "Atlantic_2025_NCPT-189_JPG_jpg.rf.7a382ad19f3061fc65305d93b2678aef.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [128, 251, 217, 286], \"label\": \"potato\"},\n {\"box_2d\": [14, 300, 77, 326], \"label\": \"potato\"},\n {\"box_2d\": [119, 296, 184, 323], \"label\": \"potato\"},\n {\"box_2d\": [353, 284, 446, 328], \"label\": \"potato\"},\n {\"box_2d\": [446, 288, 533, 325], \"label\": \"potato\"},\n {\"box_2d\": [550, 283, 649, 329], \"label\": \"potato\"},\n {\"box_2d\": [657, 289, 722, 316], \"label\": \"potato\"},\n {\"box_2d\": [722, 281, 833, 321], \"label\": \"potato\"},\n {\"box_2d\": [833, 287, 899, 315], \"label\": \"potato\"},\n {\"box_2d\": [9, 339, 93, 370], \"label\": \"potato\"},\n {\"box_2d\": [134, 336, 217, 371], \"label\": \"potato\"},\n {\"box_2d\": [217, 341, 280, 366], \"label\": \"potato\"},\n {\"box_2d\": [343, 336, 437, 370], \"label\": \"potato\"},\n {\"box_2d\": [437, 337, 502, 364], \"label\": \"potato\"},\n {\"box_2d\": [502, 328, 608, 371], \"label\": \"potato\"},\n {\"box_2d\": [621, 334, 687, 362], \"label\": \"potato\"},\n {\"box_2d\": [691, 336, 761, 361], \"label\": \"potato\"},\n {\"box_2d\": [777, 331, 864, 369], \"label\": \"potato\"},\n {\"box_2d\": [20, 384, 108, 417], \"label\": \"potato\"},\n {\"box_2d\": [160, 382, 232, 415], \"label\": \"potato\"},\n {\"box_2d\": [231, 383, 288, 409], \"label\": \"potato\"},\n {\"box_2d\": [286, 374, 391, 413], \"label\": \"potato\"},\n {\"box_2d\": [398, 380, 482, 415], \"label\": \"potato\"},\n {\"box_2d\": [477, 375, 570, 410], \"label\": \"potato\"},\n {\"box_2d\": [582, 372, 669, 412], \"label\": \"potato\"},\n {\"box_2d\": [757, 373, 842, 408], \"label\": \"potato\"},\n {\"box_2d\": [7, 426, 86, 459], \"label\": \"potato\"},\n {\"box_2d\": [102, 420, 200, 459], \"label\": \"potato\"},\n {\"box_2d\": [215, 408, 322, 459], \"label\": \"potato\"},\n {\"box_2d\": [318, 426, 384, 454], \"label\": \"potato\"},\n {\"box_2d\": [401, 414, 511, 457], \"label\": \"potato\"},\n {\"box_2d\": [581, 415, 689, 455], \"label\": \"potato\"},\n {\"box_2d\": [749, 419, 829, 448], \"label\": \"potato\"},\n {\"box_2d\": [919, 417, 1000, 453], \"label\": \"potato\"},\n {\"box_2d\": [6, 472, 83, 504], \"label\": \"potato\"},\n {\"box_2d\": [81, 471, 155, 502], \"label\": \"potato\"},\n {\"box_2d\": [155, 466, 267, 508], \"label\": \"potato\"},\n {\"box_2d\": [267, 463, 367, 506], \"label\": \"potato\"},\n {\"box_2d\": [366, 464, 452, 502], \"label\": \"potato\"},\n {\"box_2d\": [457, 465, 545, 496], \"label\": \"potato\"},\n {\"box_2d\": [586, 463, 679, 499], \"label\": \"potato\"},\n {\"box_2d\": [693, 467, 755, 492], \"label\": \"potato\"},\n {\"box_2d\": [844, 461, 926, 494], \"label\": \"potato\"},\n {\"box_2d\": [7, 516, 73, 545], \"label\": \"potato\"},\n {\"box_2d\": [71, 511, 146, 546], \"label\": \"potato\"},\n {\"box_2d\": [145, 513, 245, 547], \"label\": \"potato\"},\n {\"box_2d\": [253, 511, 363, 553], \"label\": \"potato\"},\n {\"box_2d\": [357, 511, 447, 546], \"label\": \"potato\"},\n {\"box_2d\": [471, 500, 578, 544], \"label\": \"potato\"},\n {\"box_2d\": [577, 507, 684, 552], \"label\": \"potato\"},\n {\"box_2d\": [865, 505, 952, 538], \"label\": \"potato\"},\n {\"box_2d\": [195, 552, 291, 592], \"label\": \"potato\"},\n {\"box_2d\": [290, 557, 366, 590], \"label\": \"potato\"},\n {\"box_2d\": [368, 550, 484, 605], \"label\": \"potato\"},\n {\"box_2d\": [481, 552, 570, 587], \"label\": \"potato\"},\n {\"box_2d\": [664, 551, 772, 593], \"label\": \"potato\"},\n {\"box_2d\": [8, 606, 81, 635], \"label\": \"potato\"},\n {\"box_2d\": [116, 598, 219, 640], \"label\": \"potato\"},\n {\"box_2d\": [377, 601, 474, 639], \"label\": \"potato\"},\n {\"box_2d\": [506, 595, 616, 636], \"label\": \"potato\"},\n {\"box_2d\": [736, 591, 837, 626], \"label\": \"potato\"},\n {\"box_2d\": [146, 639, 250, 682], \"label\": \"potato\"},\n {\"box_2d\": [267, 645, 335, 674], \"label\": \"potato\"},\n {\"box_2d\": [479, 635, 599, 677], \"label\": \"potato\"},\n {\"box_2d\": [96, 685, 178, 721], \"label\": \"potato\"},\n {\"box_2d\": [211, 688, 318, 725], \"label\": \"potato\"},\n {\"box_2d\": [318, 680, 431, 726], \"label\": \"potato\"},\n {\"box_2d\": [689, 680, 795, 718], \"label\": \"potato\"},\n {\"box_2d\": [24, 728, 117, 770], \"label\": \"potato\"},\n {\"box_2d\": [124, 734, 184, 761], \"label\": \"potato\"},\n {\"box_2d\": [301, 731, 384, 763], \"label\": \"potato\"},\n {\"box_2d\": [443, 724, 538, 763], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 4675, "elapsed_seconds": 40.21237279102206, "metadata": {"match_method": "map", "num_predictions": 72, "num_ground_truth": 72, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 40.9351}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 32, "image": "V000078_0_0_jpeg_jpg.rf.ea93b54e17810ab845506f60bf69b7dd.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [163, 342, 212, 439], \"label\": \"surface roughness symbol\"},\n {\"box_2d\": [124, 646, 330, 896], \"label\": \"dimension annotation\"},\n {\"box_2d\": [153, 697, 307, 926], \"label\": \"dimension annotation\"},\n {\"box_2d\": [288, 695, 381, 822], \"label\": \"dimension annotation\"},\n {\"box_2d\": [270, 170, 323, 234], \"label\": \"dimension annotation\"},\n {\"box_2d\": [279, 237, 323, 435], \"label\": \"dimension annotation\"},\n {\"box_2d\": [294, 432, 323, 483], \"label\": \"dimension annotation\"},\n {\"box_2d\": [294, 490, 323, 566], \"label\": \"dimension annotation\"},\n {\"box_2d\": [270, 170, 371, 484], \"label\": \"dimension annotation\"},\n {\"box_2d\": [338, 464, 371, 550], \"label\": \"dimension annotation\"},\n {\"box_2d\": [443, 136, 488, 258], \"label\": \"dimension annotation\"},\n {\"box_2d\": [443, 220, 482, 300], \"label\": \"dimension annotation\"},\n {\"box_2d\": [494, 126, 531, 166], \"label\": \"dimension annotation\"},\n {\"box_2d\": [503, 185, 585, 214], \"label\": \"dimension annotation\"},\n {\"box_2d\": [478, 297, 577, 334], \"label\": \"dimension annotation\"},\n {\"box_2d\": [442, 502, 465, 597], \"label\": \"dimension annotation\"},\n {\"box_2d\": [469, 565, 556, 626], \"label\": \"dimension annotation\"},\n {\"box_2d\": [800, 94, 967, 954], \"label\": \"technical drawing table\"}\n]\n```", "correct": false, "input_tokens": 1237, "output_tokens": 2120, "elapsed_seconds": 20.447420667042024, "metadata": {"match_method": "map", "num_predictions": 18, "num_ground_truth": 18, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.666666567325592, "attempts": 1, "retries": 0, "total_seconds": 20.4634}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 33, "image": "1226_8_jpg.rf.ca0a21572938b5c31e601cfcbf119e1e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [18, 22, 118, 120], \"label\": \"black rook\"},\n {\"box_2d\": [0, 138, 96, 245], \"label\": \"black knight\"},\n {\"box_2d\": [36, 263, 134, 355], \"label\": \"black bishop\"},\n {\"box_2d\": [9, 400, 129, 491], \"label\": \"black king\"},\n {\"box_2d\": [8, 530, 126, 620], \"label\": \"black queen\"},\n {\"box_2d\": [18, 896, 116, 1000], \"label\": \"black rook\"},\n {\"box_2d\": [140, 44, 214, 121], \"label\": \"black pawn\"},\n {\"box_2d\": [162, 650, 235, 724], \"label\": \"black pawn\"},\n {\"box_2d\": [168, 763, 242, 839], \"label\": \"black pawn\"},\n {\"box_2d\": [178, 913, 250, 997], \"label\": \"black pawn\"},\n {\"box_2d\": [281, 287, 353, 359], \"label\": \"black pawn\"},\n {\"box_2d\": [285, 398, 376, 488], \"label\": \"black bishop\"},\n {\"box_2d\": [425, 537, 496, 608], \"label\": \"black pawn\"},\n {\"box_2d\": [410, 893, 491, 1000], \"label\": \"black knight\"},\n {\"box_2d\": [522, 294, 594, 366], \"label\": \"white pawn\"},\n {\"box_2d\": [552, 759, 624, 835], \"label\": \"white pawn\"},\n {\"box_2d\": [642, 400, 715, 472], \"label\": \"white pawn\"},\n {\"box_2d\": [630, 640, 711, 745], \"label\": \"white knight\"},\n {\"box_2d\": [756, 55, 830, 134], \"label\": \"white pawn\"},\n {\"box_2d\": [767, 169, 842, 244], \"label\": \"white pawn\"},\n {\"box_2d\": [786, 640, 862, 715], \"label\": \"white pawn\"},\n {\"box_2d\": [772, 890, 847, 973], \"label\": \"white pawn\"},\n {\"box_2d\": [869, 39, 968, 135], \"label\": \"white rook\"},\n {\"box_2d\": [867, 134, 958, 240], \"label\": \"white knight\"},\n {\"box_2d\": [871, 281, 973, 374], \"label\": \"white bishop\"},\n {\"box_2d\": [866, 408, 991, 499], \"label\": \"white king\"},\n {\"box_2d\": [866, 531, 990, 622], \"label\": \"white queen\"},\n {\"box_2d\": [870, 653, 972, 745], \"label\": \"white bishop\"},\n {\"box_2d\": [878, 886, 979, 990], \"label\": \"white rook\"}\n]\n```", "correct": true, "input_tokens": 1259, "output_tokens": 2275, "elapsed_seconds": 20.96183116605971, "metadata": {"match_method": "map", "num_predictions": 29, "num_ground_truth": 29, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 21.2401}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 34, "image": "1218_18_jpg.rf.8c844a918f3bbbea9bc4a4e8bb703b7d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [34, 521, 130, 610], \"label\": \"black bishop\"},\n {\"box_2d\": [134, 6, 224, 105], \"label\": \"white rook\"},\n {\"box_2d\": [252, 256, 342, 349], \"label\": \"black knight\"},\n {\"box_2d\": [259, 631, 352, 718], \"label\": \"white knight\"},\n {\"box_2d\": [263, 875, 359, 999], \"label\": \"white queen\"},\n {\"box_2d\": [381, 4, 464, 121], \"label\": \"black queen\"},\n {\"box_2d\": [511, 0, 599, 122], \"label\": \"white king\"},\n {\"box_2d\": [515, 279, 603, 369], \"label\": \"white bishop\"},\n {\"box_2d\": [520, 525, 607, 611], \"label\": \"black king\"},\n {\"box_2d\": [537, 763, 606, 840], \"label\": \"white pawn\"},\n {\"box_2d\": [627, 389, 708, 480], \"label\": \"black knight\"},\n {\"box_2d\": [639, 522, 719, 603], \"label\": \"white rook\"},\n {\"box_2d\": [642, 882, 722, 994], \"label\": \"white knight\"},\n {\"box_2d\": [747, 141, 850, 245], \"label\": \"white queen\"},\n {\"box_2d\": [768, 642, 844, 714], \"label\": \"black pawn\"},\n {\"box_2d\": [766, 767, 854, 860], \"label\": \"black rook\"},\n {\"box_2d\": [890, 405, 968, 481], \"label\": \"white pawn\"},\n {\"box_2d\": [885, 761, 999, 872], \"label\": \"black queen\"}\n]\n```", "correct": true, "input_tokens": 1259, "output_tokens": 1985, "elapsed_seconds": 19.471360124996863, "metadata": {"match_method": "map", "num_predictions": 18, "num_ground_truth": 18, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 19.75}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 35, "image": "42ba34_3_4_png_jpg.rf.963d6715a391a3a2fee3176cace44325.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [375, 0, 417, 11], \"label\": \"goalkeeper\"},\n {\"box_2d\": [682, 152, 740, 170], \"label\": \"player\"},\n {\"box_2d\": [579, 234, 636, 249], \"label\": \"player\"},\n {\"box_2d\": [491, 265, 545, 277], \"label\": \"player\"},\n {\"box_2d\": [519, 281, 571, 295], \"label\": \"player\"},\n {\"box_2d\": [354, 250, 392, 260], \"label\": \"player\"},\n {\"box_2d\": [356, 257, 394, 268], \"label\": \"player\"},\n {\"box_2d\": [301, 281, 336, 290], \"label\": \"player\"},\n {\"box_2d\": [293, 318, 329, 326], \"label\": \"player\"},\n {\"box_2d\": [281, 405, 317, 415], \"label\": \"player\"},\n {\"box_2d\": [403, 350, 449, 360], \"label\": \"referee\"},\n {\"box_2d\": [361, 434, 399, 444], \"label\": \"player\"},\n {\"box_2d\": [335, 461, 372, 473], \"label\": \"player\"},\n {\"box_2d\": [247, 491, 280, 498], \"label\": \"player\"},\n {\"box_2d\": [352, 586, 391, 597], \"label\": \"player\"},\n {\"box_2d\": [485, 563, 535, 576], \"label\": \"player\"},\n {\"box_2d\": [543, 583, 597, 596], \"label\": \"player\"},\n {\"box_2d\": [530, 606, 582, 620], \"label\": \"player\"},\n {\"box_2d\": [468, 675, 518, 689], \"label\": \"player\"},\n {\"box_2d\": [292, 689, 330, 699], \"label\": \"player\"},\n {\"box_2d\": [453, 722, 499, 736], \"label\": \"player\"},\n {\"box_2d\": [424, 802, 471, 814], \"label\": \"player\"},\n {\"box_2d\": [350, 912, 389, 926], \"label\": \"goalkeeper\"},\n {\"box_2d\": [640, 956, 696, 978], \"label\": \"referee\"}\n]\n```", "correct": false, "input_tokens": 1242, "output_tokens": 3191, "elapsed_seconds": 31.19227849994786, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6658415794372559, "attempts": 1, "retries": 0, "total_seconds": 31.321}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 36, "image": "170567v_JPG_jpg.rf.b4ec6b9d23ca24e31da874cd6f035dfa.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [445, 270, 783, 855], \"label\": \"cracked insulator\"}\n]\n```", "correct": false, "input_tokens": 1244, "output_tokens": 1175, "elapsed_seconds": 22.35932612500619, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 6, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 22.8989}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 37, "image": "wood-log-detection_092_png_jpg.rf.b7bfbb1ba7a477ea02f5974fce28583e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [36, 336, 98, 387], \"label\": \"log cross-section\"},\n {\"box_2d\": [94, 381, 145, 421], \"label\": \"log cross-section\"},\n {\"box_2d\": [97, 319, 143, 357], \"label\": \"log cross-section\"},\n {\"box_2d\": [110, 279, 159, 321], \"label\": \"log cross-section\"},\n {\"box_2d\": [125, 214, 175, 258], \"label\": \"log cross-section\"},\n {\"box_2d\": [154, 257, 232, 317], \"label\": \"log cross-section\"},\n {\"box_2d\": [141, 350, 207, 403], \"label\": \"log cross-section\"},\n {\"box_2d\": [123, 431, 160, 459], \"label\": \"log cross-section\"},\n {\"box_2d\": [152, 437, 210, 476], \"label\": \"log cross-section\"},\n {\"box_2d\": [102, 466, 149, 499], \"label\": \"log cross-section\"},\n {\"box_2d\": [92, 496, 142, 535], \"label\": \"log cross-section\"},\n {\"box_2d\": [138, 499, 190, 539], \"label\": \"log cross-section\"},\n {\"box_2d\": [72, 531, 146, 587], \"label\": \"log cross-section\"},\n {\"box_2d\": [151, 532, 215, 584], \"label\": \"log cross-section\"},\n {\"box_2d\": [114, 584, 169, 623], \"label\": \"log cross-section\"},\n {\"box_2d\": [84, 625, 131, 661], \"label\": \"log cross-section\"},\n {\"box_2d\": [137, 619, 176, 646], \"label\": \"log cross-section\"},\n {\"box_2d\": [114, 646, 166, 688], \"label\": \"log cross-section\"},\n {\"box_2d\": [164, 629, 228, 682], \"label\": \"log cross-section\"},\n {\"box_2d\": [174, 583, 223, 622], \"label\": \"log cross-section\"},\n {\"box_2d\": [138, 678, 222, 744], \"label\": \"log cross-section\"},\n {\"box_2d\": [161, 742, 204, 777], \"label\": \"log cross-section\"},\n {\"box_2d\": [163, 777, 213, 813], \"label\": \"log cross-section\"},\n {\"box_2d\": [164, 807, 226, 851], \"label\": \"log cross-section\"},\n {\"box_2d\": [199, 738, 260, 786], \"label\": \"log cross-section\"},\n {\"box_2d\": [222, 822, 273, 864], \"label\": \"log cross-section\"},\n {\"box_2d\": [233, 256, 300, 312], \"label\": \"log cross-section\"},\n {\"box_2d\": [213, 310, 273, 360], \"label\": \"log cross-section\"},\n {\"box_2d\": [198, 351, 234, 384], \"label\": \"log cross-section\"},\n {\"box_2d\": [181, 405, 215, 433], \"label\": \"log cross-section\"},\n {\"box_2d\": [214, 400, 251, 428], \"label\": \"log cross-section\"},\n {\"box_2d\": [180, 469, 223, 502], \"label\": \"log cross-section\"},\n {\"box_2d\": [187, 495, 232, 534], \"label\": \"log cross-section\"},\n {\"box_2d\": [203, 424, 240, 456], \"label\": \"log cross-section\"},\n {\"box_2d\": [231, 419, 281, 454], \"label\": \"log cross-section\"},\n {\"box_2d\": [227, 359, 286, 409], \"label\": \"log cross-section\"},\n {\"box_2d\": [231, 449, 284, 491], \"label\": \"log cross-section\"},\n {\"box_2d\": [231, 488, 273, 523], \"label\": \"log cross-section\"},\n {\"box_2d\": [210, 520, 257, 553], \"label\": \"log cross-section\"},\n {\"box_2d\": [210, 557, 275, 608], \"label\": \"log cross-section\"},\n {\"box_2d\": [221, 602, 280, 646], \"label\": \"log cross-section\"},\n {\"box_2d\": [245, 639, 313, 695], \"label\": \"log cross-section\"},\n {\"box_2d\": [259, 767, 306, 817], \"label\": \"log cross-section\"},\n {\"box_2d\": [296, 786, 357, 839], \"label\": \"log cross-section\"},\n {\"box_2d\": [299, 263, 346, 304], \"label\": \"log cross-section\"},\n {\"box_2d\": [270, 313, 344, 380], \"label\": \"log cross-section\"},\n {\"box_2d\": [277, 396, 323, 433], \"label\": \"log cross-section\"},\n {\"box_2d\": [274, 431, 333, 474], \"label\": \"log cross-section\"},\n {\"box_2d\": [269, 488, 319, 529], \"label\": \"log cross-section\"},\n {\"box_2d\": [257, 522, 305, 555], \"label\": \"log cross-section\"},\n {\"box_2d\": [268, 567, 335, 625], \"label\": \"log cross-section\"},\n {\"box_2d\": [305, 540, 355, 576], \"label\": \"log cross-section\"},\n {\"box_2d\": [309, 616, 362, 658], \"label\": \"log cross-section\"},\n {\"box_2d\": [309, 655, 350, 684], \"label\": \"log cross-section\"},\n {\"box_2d\": [308, 678, 378, 733], \"label\": \"log cross-section\"},\n {\"box_2d\": [322, 731, 378, 777], \"label\": \"log cross-section\"},\n {\"box_2d\": [346, 264, 396, 307], \"label\": \"log cross-section\"},\n {\"box_2d\": [342, 303, 386, 341], \"label\": \"log cross-section\"},\n {\"box_2d\": [331, 385, 385, 424], \"label\": \"log cross-section\"},\n {\"box_2d\": [333, 421, 376, 453], \"label\": \"log cross-section\"},\n {\"box_2d\": [318, 460, 389, 513], \"label\": \"log cross-section\"},\n {\"box_2d\": [318, 509, 366, 546], \"label\": \"log cross-section\"},\n {\"box_2d\": [355, 546, 398, 580], \"label\": \"log cross-section\"},\n {\"box_2d\": [345, 574, 391, 606], \"label\": \"log cross-section\"},\n {\"box_2d\": [360, 762, 427, 822], \"label\": \"log cross-section\"},\n {\"box_2d\": [368, 716, 419, 756], \"label\": \"log cross-section\"},\n {\"box_2d\": [392, 307, 441, 352], \"label\": \"log cross-section\"},\n {\"box_2d\": [364, 350, 415, 390], \"label\": \"log cross-section\"},\n {\"box_2d\": [413, 350, 451, 381], \"label\": \"log cross-section\"},\n {\"box_2d\": [395, 378, 449, 420], \"label\": \"log cross-section\"},\n {\"box_2d\": [426, 408, 473, 447], \"label\": \"log cross-section\"},\n {\"box_2d\": [377, 429, 432, 476], \"label\": \"log cross-section\"},\n {\"box_2d\": [389, 474, 439, 514], \"label\": \"log cross-section\"},\n {\"box_2d\": [386, 521, 436, 560], \"label\": \"log cross-section\"},\n {\"box_2d\": [391, 557, 449, 603], \"label\": \"log cross-section\"},\n {\"box_2d\": [390, 636, 444, 686], \"label\": \"log cross-section\"},\n {\"box_2d\": [409, 601, 457, 640], \"label\": \"log cross-section\"},\n {\"box_2d\": [425, 271, 493, 327], \"label\": \"log cross-section\"},\n {\"box_2d\": [445, 367, 491, 408], \"label\": \"log cross-section\"},\n {\"box_2d\": [425, 445, 483, 493], \"label\": \"log cross-section\"},\n {\"box_2d\": [424, 493, 481, 540], \"label\": \"log cross-section\"},\n {\"box_2d\": [442, 544, 486, 578], \"label\": \"log cross-section\"},\n {\"box_2d\": [449, 575, 493, 609], \"label\": \"log cross-section\"},\n {\"box_2d\": [464, 605, 507, 640], \"label\": \"log cross-section\"},\n {\"box_2d\": [437, 632, 478, 667], \"label\": \"log cross-section\"},\n {\"box_2d\": [416, 688, 469, 737], \"label\": \"log cross-section\"},\n {\"box_2d\": [440, 725, 481, 759], \"label\": \"log cross-section\"},\n {\"box_2d\": [406, 740, 450, 778], \"label\": \"log cross-section\"},\n {\"box_2d\": [431, 772, 475, 813], \"label\": \"log cross-section\"},\n {\"box_2d\": [494, 267, 566, 326], \"label\": \"log cross-section\"},\n {\"box_2d\": [506, 321, 546, 356], \"label\": \"log cross-section\"},\n {\"box_2d\": [504, 370, 566, 421], \"label\": \"log cross-section\"},\n {\"box_2d\": [472, 404, 522, 442], \"label\": \"log cross-section\"},\n {\"box_2d\": [483, 447, 548, 502], \"label\": \"log cross-section\"},\n {\"box_2d\": [509, 502, 558, 538], \"label\": \"log cross-section\"},\n {\"box_2d\": [510, 536, 581, 588], \"label\": \"log cross-section\"},\n {\"box_2d\": [489, 578, 544, 623], \"label\": \"log cross-section\"},\n {\"box_2d\": [507, 626, 563, 676], \"label\": \"log cross-section\"},\n {\"box_2d\": [484, 665, 534, 709], \"label\": \"log cross-section\"},\n {\"box_2d\": [466, 742, 535, 801], \"label\": \"log cross-section\"},\n {\"box_2d\": [507, 707, 570, 767], \"label\": \"log cross-section\"},\n {\"box_2d\": [533, 767, 576, 817], \"label\": \"log cross-section\"},\n {\"box_2d\": [553, 260, 597, 297], \"label\": \"log cross-section\"},\n {\"box_2d\": [534, 333, 591, 382], \"label\": \"log cross-section\"},\n {\"box_2d\": [529, 417, 586, 459], \"label\": \"log cross-section\"},\n {\"box_2d\": [550, 447, 621, 505], \"label\": \"log cross-section\"},\n {\"box_2d\": [563, 505, 622, 554], \"label\": \"log cross-section\"},\n {\"box_2d\": [588, 270, 654, 325], \"label\": \"log cross-section\"},\n {\"box_2d\": [587, 321, 646, 368], \"label\": \"log cross-section\"},\n {\"box_2d\": [578, 367, 646, 422], \"label\": \"log cross-section\"},\n {\"box_2d\": [611, 426, 653, 462], \"label\": \"log cross-section\"},\n {\"box_2d\": [603, 483, 653, 524], \"label\": \"log cross-section\"},\n {\"box_2d\": [605, 531, 655, 575], \"label\": \"log cross-section\"},\n {\"box_2d\": [570, 566, 639, 622], \"label\": \"log cross-section\"},\n {\"box_2d\": [559, 642, 608, 694], \"label\": \"log cross-section\"},\n {\"box_2d\": [549, 675, 610, 738], \"label\": \"log cross-section\"},\n {\"box_2d\": [580, 731, 640, 783], \"label\": \"log cross-section\"},\n {\"box_2d\": [576, 775, 635, 833], \"label\": \"log cross-section\"},\n {\"box_2d\": [649, 271, 688, 304], \"label\": \"log cross-section\"},\n {\"box_2d\": [641, 307, 708, 361], \"label\": \"log cross-section\"},\n {\"box_2d\": [641, 361, 699, 408], \"label\": \"log cross-section\"},\n {\"box_2d\": [646, 445, 697, 484], \"label\": \"log cross-section\"},\n {\"box_2d\": [648, 513, 702, 557], \"label\": \"log cross-section\"},\n {\"box_2d\": [653, 556, 701, 593], \"label\": \"log cross-section\"},\n {\"box_2d\": [609, 616, 667, 666], \"label\": \"log cross-section\"},\n {\"box_2d\": [605, 675, 653, 725], \"label\": \"log cross-section\"},\n {\"box_2d\": [628, 742, 705, 807], \"label\": \"log cross-section\"},\n {\"box_2d\": [683, 265, 749, 315], \"label\": \"log cross-section\"},\n {\"box_2d\": [712, 311, 777, 364], \"label\": \"log cross-section\"},\n {\"box_2d\": [696, 362, 757, 408], \"label\": \"log cross-section\"},\n {\"box_2d\": [674, 396, 729, 436], \"label\": \"log cross-section\"},\n {\"box_2d\": [693, 422, 749, 466], \"label\": \"log cross-section\"},\n {\"box_2d\": [680, 463, 766, 530], \"label\": \"log cross-section\"},\n {\"box_2d\": [695, 533, 764, 588], \"label\": \"log cross-section\"},\n {\"box_2d\": [675, 583, 728, 626], \"label\": \"log cross-section\"},\n {\"box_2d\": [662, 620, 710, 662], \"label\": \"log cross-section\"},\n {\"box_2d\": [680, 655, 725, 694], \"label\": \"log cross-section\"},\n {\"box_2d\": [646, 695, 695, 740], \"label\": \"log cross-section\"},\n {\"box_2d\": [688, 726, 739, 771], \"label\": \"log cross-section\"},\n {\"box_2d\": [743, 389, 803, 438], \"label\": \"log cross-section\"},\n {\"box_2d\": [756, 353, 791, 385], \"label\": \"log cross-section\"},\n {\"box_2d\": [708, 626, 756, 667], \"label\": \"log cross-section\"},\n {\"box_2d\": [716, 671, 763, 710], \"label\": \"log cross-section\"},\n {\"box_2d\": [731, 577, 825, 648], \"label\": \"log cross-section\"},\n {\"box_2d\": [740, 727, 815, 790], \"label\": \"log cross-section\"},\n {\"box_2d\": [708, 767, 754, 804], \"label\": \"log cross-section\"},\n {\"box_2d\": [770, 262, 842, 319], \"label\": \"log cross-section\"},\n {\"box_2d\": [775, 315, 829, 359], \"label\": \"log cross-section\"},\n {\"box_2d\": [785, 355, 843, 401], \"label\": \"log cross-section\"},\n {\"box_2d\": [777, 424, 841, 474], \"label\": \"log cross-section\"},\n {\"box_2d\": [763, 471, 830, 526], \"label\": \"log cross-section\"},\n {\"box_2d\": [762, 523, 813, 563], \"label\": \"log cross-section\"},\n {\"box_2d\": [808, 519, 856, 558], \"label\": \"log cross-section\"},\n {\"box_2d\": [752, 646, 809, 690], \"label\": \"log cross-section\"},\n {\"box_2d\": [750, 688, 802, 729], \"label\": \"log cross-section\"},\n {\"box_2d\": [802, 663, 868, 713], \"label\": \"log cross-section\"},\n {\"box_2d\": [805, 626, 870, 672], \"label\": \"log cross-section\"},\n {\"box_2d\": [834, 598, 890, 641], \"label\": \"log cross-section\"},\n {\"box_2d\": [828, 297, 907, 361], \"label\": \"log cross-section\"},\n {\"box_2d\": [842, 263, 894, 301], \"label\": \"log cross-section\"},\n {\"box_2d\": [848, 361, 907, 404], \"label\": \"log cross-section\"},\n {\"box_2d\": [836, 400, 897, 444], \"label\": \"log cross-section\"},\n {\"box_2d\": [830, 463, 912, 528], \"label\": \"log cross-section\"},\n {\"box_2d\": [849, 555, 913, 603], \"label\": \"log cross-section\"},\n {\"box_2d\": [823, 758, 886, 820], \"label\": \"log cross-section\"},\n {\"box_2d\": [543, 602, 594, 646], \"label\": \"log cross-section\"},\n {\"box_2d\": [635, 407, 677, 443], \"label\": \"log cross-section\"}\n]\n```", "correct": false, "input_tokens": 1228, "output_tokens": 10610, "elapsed_seconds": 74.96420345804654, "metadata": {"match_method": "map", "num_predictions": 167, "num_ground_truth": 206, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.4285080134868622, "attempts": 1, "retries": 0, "total_seconds": 74.9855}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 38, "image": "DJI_20230529111632_0087_T_JPG_jpg.rf.a0bcf6f9fb3a8158bd511491a1f333d9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [260, 883, 277, 897], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [263, 844, 277, 855], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [257, 966, 271, 978], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [522, 756, 537, 770], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [534, 593, 550, 606], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [629, 680, 645, 694], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [643, 474, 658, 487], \"label\": \"solar panel hot spot\"}\n]\n```", "correct": false, "input_tokens": 1228, "output_tokens": 1505, "elapsed_seconds": 19.44288470793981, "metadata": {"match_method": "map", "num_predictions": 7, "num_ground_truth": 9, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7722772359848022, "attempts": 1, "retries": 0, "total_seconds": 19.466}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 39, "image": "IMG_20260128_081648_jpg.rf.195a895d6fe7552e4b9d0fc4e44e0f46.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [624, 75, 723, 154], \"label\": \"white standard price tag\"},\n {\"box_2d\": [624, 148, 723, 234], \"label\": \"white standard price tag\"},\n {\"box_2d\": [624, 234, 725, 292], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [625, 289, 725, 372], \"label\": \"white standard price tag\"},\n {\"box_2d\": [626, 369, 726, 421], \"label\": \"white standard price tag\"},\n {\"box_2d\": [626, 417, 726, 493], \"label\": \"white standard price tag\"},\n {\"box_2d\": [626, 492, 726, 569], \"label\": \"white standard price tag\"},\n {\"box_2d\": [626, 568, 726, 642], \"label\": \"white standard price tag\"},\n {\"box_2d\": [618, 636, 952, 734], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [618, 714, 950, 804], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [630, 854, 729, 932], \"label\": \"white standard price tag\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 2119, "elapsed_seconds": 25.609139999956824, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 26.0923}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 40, "image": "m4_tire_2024-10-17_18_png_jpg.rf.b3da826931757f1612878ecf9680a260.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [93, 299, 173, 521], \"label\": \"tire size text\"},\n {\"box_2d\": [705, 213, 773, 267], \"label\": \"tire size text\"},\n {\"box_2d\": [877, 535, 954, 718], \"label\": \"tire size text\"}\n]\n```", "correct": false, "input_tokens": 1226, "output_tokens": 2834, "elapsed_seconds": 31.868027542019263, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5544553995132446, "attempts": 1, "retries": 0, "total_seconds": 32.2518}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 41, "image": "IMG_3864_JPG.rf.85dd012a4824e9d1050c085dd0a2e519.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [350, 226, 419, 336], \"label\": \"100 poker chip\"},\n {\"box_2d\": [361, 396, 431, 507], \"label\": \"500 poker chip\"},\n {\"box_2d\": [466, 97, 545, 217], \"label\": \"500 poker chip\"},\n {\"box_2d\": [430, 286, 508, 404], \"label\": \"500 poker chip\"},\n {\"box_2d\": [428, 401, 506, 517], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [440, 513, 519, 633], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [404, 610, 480, 729], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [446, 706, 526, 832], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [424, 819, 505, 945], \"label\": \"100 poker chip\"},\n {\"box_2d\": [512, 779, 601, 913], \"label\": \"100 poker chip\"},\n {\"box_2d\": [516, 650, 602, 780], \"label\": \"500 poker chip\"},\n {\"box_2d\": [529, 524, 618, 654], \"label\": \"500 poker chip\"},\n {\"box_2d\": [518, 398, 605, 525], \"label\": \"500 poker chip\"},\n {\"box_2d\": [522, 217, 609, 344], \"label\": \"500 poker chip\"},\n {\"box_2d\": [560, 40, 649, 168], \"label\": \"10000 poker chip\"},\n {\"box_2d\": [606, 129, 703, 265], \"label\": \"500 poker chip\"},\n {\"box_2d\": [574, 298, 670, 431], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [600, 421, 697, 557], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [662, 239, 767, 381], \"label\": \"500 poker chip\"},\n {\"box_2d\": [675, 495, 785, 639], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [674, 636, 784, 782], \"label\": \"500 poker chip\"},\n {\"box_2d\": [594, 708, 692, 848], \"label\": \"100 poker chip\"},\n {\"box_2d\": [685, 796, 796, 949], \"label\": \"1000 poker chip\"}\n]\n```", "correct": true, "input_tokens": 1229, "output_tokens": 2869, "elapsed_seconds": 31.700679833069444, "metadata": {"match_method": "map", "num_predictions": 23, "num_ground_truth": 24, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9702969789505005, "attempts": 1, "retries": 0, "total_seconds": 32.5333}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 42, "image": "1217_2_jpg.rf.e0a2a15bcd44d66668e689fd59ca61fe.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [26, 139, 127, 235], \"label\": \"white bishop\"},\n {\"box_2d\": [0, 401, 125, 490], \"label\": \"white queen\"},\n {\"box_2d\": [2, 509, 129, 600], \"label\": \"white king\"},\n {\"box_2d\": [0, 910, 84, 990], \"label\": \"black pawn\"},\n {\"box_2d\": [170, 17, 243, 96], \"label\": \"black pawn\"},\n {\"box_2d\": [149, 646, 224, 720], \"label\": \"white pawn\"},\n {\"box_2d\": [180, 765, 255, 839], \"label\": \"white pawn\"},\n {\"box_2d\": [285, 155, 357, 230], \"label\": \"white pawn\"},\n {\"box_2d\": [288, 386, 360, 456], \"label\": \"black pawn\"},\n {\"box_2d\": [273, 623, 362, 715], \"label\": \"white bishop\"},\n {\"box_2d\": [309, 872, 380, 949], \"label\": \"black pawn\"},\n {\"box_2d\": [412, 26, 483, 108], \"label\": \"white pawn\"},\n {\"box_2d\": [405, 297, 477, 371], \"label\": \"white pawn\"},\n {\"box_2d\": [386, 507, 474, 597], \"label\": \"black bishop\"},\n {\"box_2d\": [396, 639, 476, 731], \"label\": \"white knight\"},\n {\"box_2d\": [425, 769, 502, 871], \"label\": \"black knight\"},\n {\"box_2d\": [433, 901, 503, 982], \"label\": \"white pawn\"},\n {\"box_2d\": [546, 0, 626, 114], \"label\": \"black knight\"},\n {\"box_2d\": [512, 124, 600, 234], \"label\": \"black queen\"},\n {\"box_2d\": [525, 277, 597, 349], \"label\": \"black pawn\"},\n {\"box_2d\": [517, 399, 597, 480], \"label\": \"white rook\"},\n {\"box_2d\": [559, 609, 630, 682], \"label\": \"white pawn\"},\n {\"box_2d\": [651, 630, 740, 722], \"label\": \"white queen\"},\n {\"box_2d\": [650, 877, 720, 956], \"label\": \"white pawn\"},\n {\"box_2d\": [761, 16, 845, 117], \"label\": \"white rook\"},\n {\"box_2d\": [764, 162, 855, 252], \"label\": \"black bishop\"},\n {\"box_2d\": [782, 397, 856, 469], \"label\": \"black pawn\"},\n {\"box_2d\": [748, 749, 854, 856], \"label\": \"black king\"},\n {\"box_2d\": [901, 2, 995, 116], \"label\": \"white knight\"},\n {\"box_2d\": [882, 401, 973, 481], \"label\": \"black rook\"},\n {\"box_2d\": [901, 642, 994, 722], \"label\": \"black rook\"},\n {\"box_2d\": [891, 886, 999, 1000], \"label\": \"black queen\"}\n]\n```", "correct": true, "input_tokens": 1259, "output_tokens": 3015, "elapsed_seconds": 27.815831208019517, "metadata": {"match_method": "map", "num_predictions": 32, "num_ground_truth": 32, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 28.1013}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 43, "image": "fabric-defect_904_jpg.rf.1cf391ad7827c3f000e3c8ea35472e5d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [400, 456, 509, 531],\n \"label\": \"fabric cut\"\n}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 220, "elapsed_seconds": 6.4481241250177845, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 6.4749}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 44, "image": "20210325_204058_jpg.rf.29e7808c087a71e473dd9c19badaff2c.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [150, 429, 365, 646], \"label\": \"50 euro cent coin\"},\n {\"box_2d\": [257, 62, 444, 250], \"label\": \"5 euro cent coin\"},\n {\"box_2d\": [348, 267, 577, 498], \"label\": \"2 euro coin\"},\n {\"box_2d\": [365, 645, 535, 818], \"label\": \"2 euro cent coin\"},\n {\"box_2d\": [499, 509, 646, 658], \"label\": \"1 euro cent coin\"},\n {\"box_2d\": [604, 150, 807, 353], \"label\": \"20 euro cent coin\"},\n {\"box_2d\": [563, 691, 744, 876], \"label\": \"10 euro cent coin\"},\n {\"box_2d\": [700, 439, 913, 650], \"label\": \"1 euro coin\"}\n]\n```", "correct": true, "input_tokens": 1272, "output_tokens": 1056, "elapsed_seconds": 10.562004582956433, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 10.5865}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 45, "image": "9999942_00000_d_0000135_jpg.rf.52553444f2adb8d7ba245527bc1de4b5.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 193, 34, 255], \"label\": \"van\"},\n {\"box_2d\": [44, 240, 102, 267], \"label\": \"car\"},\n {\"box_2d\": [28, 296, 94, 323], \"label\": \"car\"},\n {\"box_2d\": [0, 308, 24, 333], \"label\": \"car\"},\n {\"box_2d\": [0, 381, 41, 404], \"label\": \"van\"},\n {\"box_2d\": [21, 406, 79, 432], \"label\": \"car\"},\n {\"box_2d\": [94, 282, 169, 316], \"label\": \"van\"},\n {\"box_2d\": [96, 173, 130, 231], \"label\": \"car\"},\n {\"box_2d\": [127, 169, 165, 229], \"label\": \"car\"},\n {\"box_2d\": [157, 168, 193, 210], \"label\": \"car\"},\n {\"box_2d\": [188, 269, 259, 302], \"label\": \"car\"},\n {\"box_2d\": [133, 394, 199, 423], \"label\": \"car\"},\n {\"box_2d\": [239, 133, 293, 181], \"label\": \"car\"},\n {\"box_2d\": [240, 374, 334, 414], \"label\": \"truck\"},\n {\"box_2d\": [320, 176, 380, 206], \"label\": \"car\"},\n {\"box_2d\": [385, 149, 434, 184], \"label\": \"car\"},\n {\"box_2d\": [525, 10, 571, 76], \"label\": \"van\"},\n {\"box_2d\": [570, 372, 634, 449], \"label\": \"car\"},\n {\"box_2d\": [548, 534, 591, 603], \"label\": \"car\"},\n {\"box_2d\": [606, 520, 649, 591], \"label\": \"car\"},\n {\"box_2d\": [604, 675, 646, 722], \"label\": \"car\"},\n {\"box_2d\": [694, 104, 792, 159], \"label\": \"car\"},\n {\"box_2d\": [812, 136, 926, 185], \"label\": \"car\"},\n {\"box_2d\": [111, 249, 140, 262], \"label\": \"person\"},\n {\"box_2d\": [111, 350, 141, 362], \"label\": \"person\"},\n {\"box_2d\": [477, 449, 497, 459], \"label\": \"person\"},\n {\"box_2d\": [472, 463, 492, 474], \"label\": \"person\"},\n {\"box_2d\": [484, 471, 504, 480], \"label\": \"person\"}\n]\n```", "correct": false, "input_tokens": 1215, "output_tokens": 2677, "elapsed_seconds": 23.7262217910029, "metadata": {"match_method": "map", "num_predictions": 28, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.26805129647254944, "attempts": 1, "retries": 0, "total_seconds": 23.8318}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 46, "image": "tire_2024-09-25_27_png_jpg.rf.86e579b04ca3a3e9f7a480c31239539e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [80, 272, 166, 471], \"label\": \"tire size text\"},\n {\"box_2d\": [334, 805, 396, 844], \"label\": \"tire size text\"},\n {\"box_2d\": [895, 471, 954, 679], \"label\": \"tire size text\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 979, "elapsed_seconds": 15.226656583021395, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 15.742}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 47, "image": "Container-144_jpg.rf.4f556fc57071dc9d870c03989b923d26.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [252, 555, 279, 738], \"label\": \"shipping container number\"},\n {\"box_2d\": [285, 557, 307, 609], \"label\": \"container ISO type code\"}\n]\n```", "correct": true, "input_tokens": 1232, "output_tokens": 318, "elapsed_seconds": 5.16185316699557, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 5.1778}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 48, "image": "frame_0151_jpg.rf.6c7fef6c392aec746239d36e4257e862.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [128, 127, 198, 173], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [298, 114, 371, 169], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [425, 84, 502, 139], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [615, 86, 709, 136], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [785, 67, 875, 132], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [894, 238, 962, 288], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [720, 237, 800, 283], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [500, 253, 574, 299], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [468, 206, 530, 246], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [291, 248, 357, 288], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [135, 237, 207, 281], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [110, 333, 171, 372], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [215, 339, 285, 378], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [338, 332, 410, 373], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [578, 365, 646, 407], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [641, 369, 713, 415], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [492, 466, 557, 502], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [275, 444, 348, 485], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [197, 441, 260, 477], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [114, 426, 174, 461], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [165, 531, 229, 568], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [264, 538, 321, 576], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [418, 568, 485, 608], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [779, 581, 851, 622], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [473, 674, 537, 710], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [347, 646, 407, 682], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [18, 548, 80, 585], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 514, 52, 548], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 609, 55, 637], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [4, 413, 51, 446], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [4, 381, 47, 410], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [1, 347, 48, 383], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 251, 44, 284], \"label\": \"garlic on conveyor\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 3075, "elapsed_seconds": 29.437385957920924, "metadata": {"match_method": "map", "num_predictions": 33, "num_ground_truth": 27, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 29.5799}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 49, "image": "4106884_ContLeftUpper_f_jpg.rf.92488d92926163302f246be3b53efb13.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [226, 23, 252, 46], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [213, 100, 253, 125], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [216, 179, 255, 204], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [220, 257, 256, 282], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [228, 337, 258, 360], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [234, 416, 260, 440], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [235, 494, 261, 518], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [237, 573, 261, 597], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [408, 221, 440, 245], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [411, 299, 443, 325], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [415, 379, 446, 402], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [421, 458, 449, 481], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [521, 65, 548, 89], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [521, 143, 551, 168], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [522, 222, 550, 246], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [525, 300, 554, 326], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [525, 380, 552, 404], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [528, 458, 553, 481], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [529, 614, 552, 636], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [332, 612, 401, 637], \"label\": \"shipping container wall dent\"}\n]\n```", "correct": false, "input_tokens": 1219, "output_tokens": 2712, "elapsed_seconds": 29.82267454196699, "metadata": {"match_method": "map", "num_predictions": 20, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.15055328607559204, "attempts": 1, "retries": 0, "total_seconds": 29.9845}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 50, "image": "img_459031286691397716_png.rf.6de9abc735878b2b2cc1f1fa95486a5f.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [39, 162, 169, 304], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [129, 146, 260, 292], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [222, 127, 353, 281], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [326, 102, 460, 267], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [437, 79, 571, 255], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [559, 49, 697, 238], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [697, 17, 840, 222], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [840, 0, 1000, 198], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [9, 297, 129, 430], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [96, 287, 217, 425], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [186, 275, 311, 421], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [284, 258, 412, 412], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [392, 244, 526, 405], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [513, 224, 646, 396], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [647, 207, 786, 388], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [789, 179, 944, 375], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [49, 420, 163, 555], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [133, 415, 253, 555], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [228, 408, 352, 555], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [332, 396, 459, 550], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [443, 393, 576, 553], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [568, 376, 703, 545], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [704, 369, 846, 550], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [847, 355, 1000, 547], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [13, 545, 134, 681], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [99, 544, 216, 683], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [190, 541, 309, 686], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [289, 537, 416, 691], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [398, 537, 527, 697], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [517, 533, 651, 702], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [648, 534, 789, 713], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [790, 533, 945, 722], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [49, 671, 174, 809], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [138, 673, 263, 818], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [231, 677, 358, 829], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [334, 679, 466, 841], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [446, 683, 580, 855], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [572, 686, 710, 869], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [709, 696, 851, 888], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [852, 703, 1000, 913], \"label\": \"empty portable gas cylinder\"}\n]\n```", "correct": true, "input_tokens": 1203, "output_tokens": 2864, "elapsed_seconds": 21.780054999981076, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 40, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 21.8922}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 51, "image": "1668147211__jpg.rf.0ee3d637cd990a070a8c1bcc234c9d5a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [656, 28, 701, 56], \"label\": \"six die\"},\n {\"box_2d\": [892, 113, 941, 141], \"label\": \"one die\"},\n {\"box_2d\": [622, 177, 673, 206], \"label\": \"six die\"},\n {\"box_2d\": [636, 209, 694, 242], \"label\": \"five die\"},\n {\"box_2d\": [757, 222, 816, 256], \"label\": \"five die\"},\n {\"box_2d\": [432, 198, 487, 229], \"label\": \"five die\"},\n {\"box_2d\": [373, 192, 419, 220], \"label\": \"three die\"},\n {\"box_2d\": [254, 194, 313, 227], \"label\": \"four die\"},\n {\"box_2d\": [209, 218, 267, 252], \"label\": \"one die\"},\n {\"box_2d\": [249, 238, 301, 268], \"label\": \"three die\"},\n {\"box_2d\": [106, 243, 161, 273], \"label\": \"three die\"},\n {\"box_2d\": [153, 255, 209, 287], \"label\": \"five die\"},\n {\"box_2d\": [217, 296, 271, 326], \"label\": \"two die\"},\n {\"box_2d\": [227, 341, 284, 372], \"label\": \"five die\"},\n {\"box_2d\": [188, 366, 248, 398], \"label\": \"three die\"},\n {\"box_2d\": [244, 370, 303, 403], \"label\": \"one die\"},\n {\"box_2d\": [271, 400, 321, 427], \"label\": \"one die\"},\n {\"box_2d\": [329, 369, 383, 399], \"label\": \"six die\"},\n {\"box_2d\": [392, 418, 439, 444], \"label\": \"five die\"},\n {\"box_2d\": [354, 447, 413, 479], \"label\": \"two die\"},\n {\"box_2d\": [176, 454, 232, 485], \"label\": \"one die\"},\n {\"box_2d\": [243, 459, 303, 491], \"label\": \"four die\"},\n {\"box_2d\": [236, 491, 294, 522], \"label\": \"three die\"},\n {\"box_2d\": [348, 555, 411, 590], \"label\": \"six die\"},\n {\"box_2d\": [528, 304, 582, 335], \"label\": \"one die\"},\n {\"box_2d\": [618, 308, 672, 339], \"label\": \"one die\"},\n {\"box_2d\": [601, 379, 658, 411], \"label\": \"three die\"},\n {\"box_2d\": [578, 415, 630, 445], \"label\": \"four die\"},\n {\"box_2d\": [652, 398, 704, 426], \"label\": \"six die\"},\n {\"box_2d\": [682, 426, 738, 456], \"label\": \"four die\"},\n {\"box_2d\": [662, 450, 714, 479], \"label\": \"three die\"},\n {\"box_2d\": [618, 507, 665, 533], \"label\": \"one die\"},\n {\"box_2d\": [659, 525, 711, 555], \"label\": \"four die\"},\n {\"box_2d\": [776, 470, 829, 500], \"label\": \"three die\"},\n {\"box_2d\": [779, 536, 830, 564], \"label\": \"one die\"},\n {\"box_2d\": [854, 580, 909, 610], \"label\": \"two die\"},\n {\"box_2d\": [692, 616, 751, 649], \"label\": \"three die\"},\n {\"box_2d\": [52, 647, 111, 680], \"label\": \"six die\"},\n {\"box_2d\": [87, 673, 151, 707], \"label\": \"three die\"},\n {\"box_2d\": [148, 769, 206, 802], \"label\": \"two die\"},\n {\"box_2d\": [282, 740, 338, 770], \"label\": \"three die\"},\n {\"box_2d\": [288, 869, 342, 902], \"label\": \"five die\"},\n {\"box_2d\": [427, 807, 479, 836], \"label\": \"two die\"},\n {\"box_2d\": [503, 798, 563, 834], \"label\": \"four die\"},\n {\"box_2d\": [503, 842, 561, 875], \"label\": \"four die\"},\n {\"box_2d\": [476, 862, 535, 895], \"label\": \"one die\"},\n {\"box_2d\": [582, 798, 636, 829], \"label\": \"two die\"},\n {\"box_2d\": [651, 800, 709, 833], \"label\": \"one die\"},\n {\"box_2d\": [599, 838, 648, 867], \"label\": \"one die\"},\n {\"box_2d\": [649, 833, 701, 863], \"label\": \"one die\"},\n {\"box_2d\": [599, 877, 658, 912], \"label\": \"two die\"}\n]\n```", "correct": true, "input_tokens": 1252, "output_tokens": 3878, "elapsed_seconds": 29.98563616699539, "metadata": {"match_method": "map", "num_predictions": 51, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9667609333992004, "attempts": 1, "retries": 0, "total_seconds": 30.0444}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 52, "image": "3533container_jpg.rf.12bfe57075507c019cfd5dc24dd08b40.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [374, 237, 463, 267], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [372, 320, 456, 347], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [489, 141, 561, 169], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [619, 396, 665, 434], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [623, 477, 667, 511], \"label\": \"shipping container wall dent\"}\n]\n```", "correct": false, "input_tokens": 1219, "output_tokens": 1531, "elapsed_seconds": 17.97241970791947, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.1683168262243271, "attempts": 1, "retries": 0, "total_seconds": 18.1013}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 53, "image": "DJI_20230529095121_0346_T_JPG_jpg.rf.a2baa2ffdce5ec84e5f5d22342f6b310.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [319, 305, 333, 318], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [326, 429, 339, 440], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [264, 626, 354, 646], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [459, 917, 473, 931], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [703, 466, 722, 482], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [706, 503, 724, 517], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [713, 592, 727, 604], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [828, 859, 845, 874], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [830, 902, 846, 916], \"label\": \"solar panel hot spot\"}\n]\n```", "correct": false, "input_tokens": 1228, "output_tokens": 1229, "elapsed_seconds": 14.291020625038072, "metadata": {"match_method": "map", "num_predictions": 9, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7062706351280212, "attempts": 1, "retries": 0, "total_seconds": 14.3148}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 54, "image": "IMG_20250815_170041_jpg.rf.a65978ab35e2cb48c68d9eebdeaab87b.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [583, 309, 672, 412], \"label\": \"barcode\"},\n {\"box_2d\": [664, 0, 757, 75], \"label\": \"barcode\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 529, "elapsed_seconds": 10.79786370799411, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 11.1084}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 55, "image": "1_000070_png.rf.a431761eff2c713a18daff7bade25bde.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [280, 55, 312, 66], \"label\": \"tire spike normal\"},\n {\"box_2d\": [184, 88, 221, 102], \"label\": \"tire spike normal\"},\n {\"box_2d\": [153, 192, 193, 206], \"label\": \"tire spike normal\"},\n {\"box_2d\": [208, 246, 249, 260], \"label\": \"tire spike normal\"},\n {\"box_2d\": [293, 285, 336, 300], \"label\": \"tire spike normal\"},\n {\"box_2d\": [186, 351, 232, 367], \"label\": \"tire spike normal\"},\n {\"box_2d\": [301, 394, 341, 410], \"label\": \"tire spike absent\"},\n {\"box_2d\": [199, 464, 247, 482], \"label\": \"tire spike normal\"},\n {\"box_2d\": [184, 520, 231, 537], \"label\": \"tire spike normal\"},\n {\"box_2d\": [245, 593, 293, 610], \"label\": \"tire spike normal\"},\n {\"box_2d\": [216, 648, 260, 664], \"label\": \"tire spike normal\"},\n {\"box_2d\": [270, 716, 312, 729], \"label\": \"tire spike normal\"},\n {\"box_2d\": [230, 763, 272, 774], \"label\": \"tire spike normal\"},\n {\"box_2d\": [294, 818, 332, 830], \"label\": \"tire spike normal\"},\n {\"box_2d\": [377, 855, 416, 867], \"label\": \"tire spike normal\"},\n {\"box_2d\": [288, 895, 327, 905], \"label\": \"tire spike normal\"},\n {\"box_2d\": [391, 919, 427, 928], \"label\": \"tire spike normal\"},\n {\"box_2d\": [306, 945, 344, 953], \"label\": \"tire spike normal\"},\n {\"box_2d\": [664, 51, 696, 63], \"label\": \"tire spike normal\"},\n {\"box_2d\": [587, 70, 622, 84], \"label\": \"tire spike normal\"},\n {\"box_2d\": [682, 100, 719, 114], \"label\": \"tire spike normal\"},\n {\"box_2d\": [620, 137, 659, 152], \"label\": \"tire spike normal\"},\n {\"box_2d\": [699, 177, 738, 190], \"label\": \"tire spike absent\"},\n {\"box_2d\": [755, 228, 799, 243], \"label\": \"tire spike absent\"},\n {\"box_2d\": [727, 283, 769, 299], \"label\": \"tire spike normal\"},\n {\"box_2d\": [636, 332, 680, 347], \"label\": \"tire spike normal\"},\n {\"box_2d\": [744, 391, 783, 406], \"label\": \"tire spike absent\"},\n {\"box_2d\": [658, 444, 705, 463], \"label\": \"tire spike normal\"},\n {\"box_2d\": [761, 504, 807, 521], \"label\": \"tire spike normal\"},\n {\"box_2d\": [814, 571, 858, 588], \"label\": \"tire spike normal\"},\n {\"box_2d\": [780, 634, 817, 649], \"label\": \"tire spike absent\"},\n {\"box_2d\": [821, 695, 864, 710], \"label\": \"tire spike absent\"},\n {\"box_2d\": [787, 751, 832, 766], \"label\": \"tire spike normal\"},\n {\"box_2d\": [830, 801, 871, 813], \"label\": \"tire spike absent\"},\n {\"box_2d\": [782, 847, 821, 859], \"label\": \"tire spike absent\"},\n {\"box_2d\": [700, 885, 741, 896], \"label\": \"tire spike normal\"},\n {\"box_2d\": [693, 938, 731, 948], \"label\": \"tire spike normal\"}\n]\n```", "correct": false, "input_tokens": 1222, "output_tokens": 2988, "elapsed_seconds": 26.01151220907923, "metadata": {"match_method": "map", "num_predictions": 37, "num_ground_truth": 46, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6332388520240784, "attempts": 1, "retries": 0, "total_seconds": 26.0735}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 56, "image": "egg-detection_image148_jpg.rf.7ef43d25f8e9b9b7f3d805f238830ff7.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [21, 706, 92, 760], \"label\": \"egg\"},\n {\"box_2d\": [56, 569, 134, 626], \"label\": \"egg\"},\n {\"box_2d\": [104, 613, 185, 675], \"label\": \"egg\"},\n {\"box_2d\": [111, 686, 189, 738], \"label\": \"egg\"},\n {\"box_2d\": [157, 517, 238, 576], \"label\": \"egg\"},\n {\"box_2d\": [221, 698, 303, 753], \"label\": \"egg\"},\n {\"box_2d\": [275, 661, 360, 720], \"label\": \"egg\"},\n {\"box_2d\": [334, 712, 419, 771], \"label\": \"egg\"},\n {\"box_2d\": [399, 632, 486, 694], \"label\": \"egg\"},\n {\"box_2d\": [406, 532, 491, 594], \"label\": \"egg\"},\n {\"box_2d\": [441, 761, 550, 804], \"label\": \"egg\"},\n {\"box_2d\": [512, 715, 595, 769], \"label\": \"egg\"},\n {\"box_2d\": [581, 658, 664, 719], \"label\": \"egg\"},\n {\"box_2d\": [584, 595, 671, 659], \"label\": \"egg\"},\n {\"box_2d\": [631, 698, 716, 759], \"label\": \"egg\"},\n {\"box_2d\": [626, 757, 708, 809], \"label\": \"egg\"},\n {\"box_2d\": [706, 617, 787, 676], \"label\": \"egg\"},\n {\"box_2d\": [772, 519, 855, 581], \"label\": \"egg\"},\n {\"box_2d\": [754, 657, 837, 718], \"label\": \"egg\"},\n {\"box_2d\": [739, 742, 816, 795], \"label\": \"egg\"},\n {\"box_2d\": [802, 698, 879, 755], \"label\": \"egg\"},\n {\"box_2d\": [908, 676, 984, 732], \"label\": \"egg\"},\n {\"box_2d\": [891, 731, 976, 773], \"label\": \"egg\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 2423, "elapsed_seconds": 21.199574499973096, "metadata": {"match_method": "map", "num_predictions": 23, "num_ground_truth": 23, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 21.2946}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 57, "image": "wood-log-detection_024_png_jpg.rf.263e49a755104b6d29dbdffe768891e9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [64, 292, 123, 378], \"label\": \"log cross-section\"},\n {\"box_2d\": [125, 241, 166, 297], \"label\": \"log cross-section\"},\n {\"box_2d\": [144, 281, 180, 322], \"label\": \"log cross-section\"},\n {\"box_2d\": [147, 319, 188, 367], \"label\": \"log cross-section\"},\n {\"box_2d\": [102, 414, 150, 470], \"label\": \"log cross-section\"},\n {\"box_2d\": [125, 469, 156, 502], \"label\": \"log cross-section\"},\n {\"box_2d\": [148, 444, 191, 491], \"label\": \"log cross-section\"},\n {\"box_2d\": [167, 388, 200, 425], \"label\": \"log cross-section\"},\n {\"box_2d\": [172, 247, 225, 314], \"label\": \"log cross-section\"},\n {\"box_2d\": [191, 319, 236, 378], \"label\": \"log cross-section\"},\n {\"box_2d\": [214, 238, 248, 281], \"label\": \"log cross-section\"},\n {\"box_2d\": [223, 292, 258, 338], \"label\": \"log cross-section\"},\n {\"box_2d\": [247, 320, 281, 366], \"label\": \"log cross-section\"},\n {\"box_2d\": [250, 245, 297, 311], \"label\": \"log cross-section\"},\n {\"box_2d\": [306, 241, 345, 294], \"label\": \"log cross-section\"},\n {\"box_2d\": [278, 350, 312, 395], \"label\": \"log cross-section\"},\n {\"box_2d\": [236, 386, 275, 433], \"label\": \"log cross-section\"},\n {\"box_2d\": [202, 422, 238, 475], \"label\": \"log cross-section\"},\n {\"box_2d\": [231, 439, 266, 483], \"label\": \"log cross-section\"},\n {\"box_2d\": [266, 419, 306, 478], \"label\": \"log cross-section\"},\n {\"box_2d\": [298, 414, 341, 477], \"label\": \"log cross-section\"},\n {\"box_2d\": [303, 391, 341, 422], \"label\": \"log cross-section\"},\n {\"box_2d\": [292, 473, 327, 516], \"label\": \"log cross-section\"},\n {\"box_2d\": [216, 486, 245, 522], \"label\": \"log cross-section\"},\n {\"box_2d\": [184, 511, 219, 552], \"label\": \"log cross-section\"},\n {\"box_2d\": [152, 533, 203, 598], \"label\": \"log cross-section\"},\n {\"box_2d\": [222, 520, 262, 567], \"label\": \"log cross-section\"},\n {\"box_2d\": [250, 489, 281, 533], \"label\": \"log cross-section\"},\n {\"box_2d\": [222, 566, 253, 598], \"label\": \"log cross-section\"},\n {\"box_2d\": [119, 658, 148, 692], \"label\": \"log cross-section\"},\n {\"box_2d\": [150, 658, 205, 727], \"label\": \"log cross-section\"},\n {\"box_2d\": [175, 600, 220, 661], \"label\": \"log cross-section\"},\n {\"box_2d\": [206, 622, 255, 686], \"label\": \"log cross-section\"},\n {\"box_2d\": [200, 698, 234, 744], \"label\": \"log cross-section\"},\n {\"box_2d\": [258, 559, 311, 627], \"label\": \"log cross-section\"},\n {\"box_2d\": [294, 534, 330, 581], \"label\": \"log cross-section\"},\n {\"box_2d\": [267, 625, 298, 666], \"label\": \"log cross-section\"},\n {\"box_2d\": [252, 666, 305, 738], \"label\": \"log cross-section\"},\n {\"box_2d\": [294, 691, 333, 742], \"label\": \"log cross-section\"},\n {\"box_2d\": [327, 641, 355, 691], \"label\": \"log cross-section\"}\n]\n```", "correct": true, "input_tokens": 1228, "output_tokens": 3639, "elapsed_seconds": 32.740189166972414, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 40, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9164309501647949, "attempts": 1, "retries": 0, "total_seconds": 32.7643}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 58, "image": "img_458587397241176242_png.rf.41b1d861ca437ce5097848dacad76db8.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [854, 122, 991, 300], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [736, 146, 854, 314], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [623, 170, 735, 325], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [519, 189, 631, 335], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [422, 209, 532, 342], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [332, 224, 439, 352], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [250, 244, 346, 359], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [171, 250, 265, 365], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [126, 362, 220, 474], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [204, 353, 305, 471], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [289, 342, 400, 466], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [376, 332, 491, 462], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [475, 319, 588, 456], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [577, 303, 692, 449], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [691, 290, 809, 449], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [808, 269, 944, 444], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [868, 412, 1000, 584], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [742, 426, 868, 590], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [623, 436, 742, 589], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [512, 444, 629, 589], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [412, 451, 526, 585], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [318, 459, 428, 586], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [229, 463, 338, 586], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [146, 465, 245, 582], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [101, 584, 204, 706], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [182, 581, 290, 709], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [269, 580, 381, 710], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [362, 577, 479, 714], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [464, 576, 581, 717], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [575, 575, 697, 726], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [695, 575, 820, 734], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [821, 570, 970, 741], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [880, 729, 1000, 913], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [749, 723, 882, 896], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [623, 719, 749, 882], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [503, 712, 628, 869], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [396, 709, 517, 856], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [297, 704, 416, 845], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [207, 704, 319, 837], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [120, 701, 229, 830], \"label\": \"empty portable gas cylinder\"}\n]\n```", "correct": false, "input_tokens": 1208, "output_tokens": 4184, "elapsed_seconds": 47.4385561250383, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 40, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.44268521666526794, "attempts": 3, "retries": 2, "total_seconds": 175.695, "transient_errors": ["RemoteProtocolError", "RemoteProtocolError"]}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 59, "image": "frame_0008_jpg.rf.87aed24f253375f69a3bb398f6521d18.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [40, 342, 85, 365], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [30, 396, 72, 419], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [25, 452, 68, 474], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [25, 506, 68, 529], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [125, 333, 173, 357], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [116, 390, 165, 413], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [112, 448, 161, 472], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [113, 507, 161, 531], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [219, 326, 263, 350], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [208, 384, 253, 409], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [205, 446, 250, 471], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [204, 510, 248, 534], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [498, 315, 548, 342], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [514, 376, 563, 403], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [527, 439, 578, 466], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [539, 502, 590, 530], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [608, 303, 661, 329], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [625, 363, 677, 390], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [640, 426, 692, 454], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [653, 489, 706, 519], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [722, 296, 773, 322], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [737, 356, 792, 383], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [753, 419, 808, 447], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [768, 484, 822, 512], \"label\": \"soda bottle cap\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 2174, "elapsed_seconds": 23.160197125049308, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 24, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 23.5372}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 60, "image": "uav20221018_ixfZ_3857_0_png.rf.68f3022f53a4bfe08c731fb3a58473cf.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [230, 336, 305, 405], \"label\": \"banana tree\"},\n {\"box_2d\": [202, 411, 273, 471], \"label\": \"banana tree\"},\n {\"box_2d\": [285, 404, 353, 472], \"label\": \"banana tree\"},\n {\"box_2d\": [323, 323, 391, 397], \"label\": \"banana tree\"},\n {\"box_2d\": [374, 399, 439, 482], \"label\": \"banana tree\"},\n {\"box_2d\": [417, 344, 468, 394], \"label\": \"banana tree\"},\n {\"box_2d\": [446, 406, 513, 478], \"label\": \"banana tree\"},\n {\"box_2d\": [494, 317, 567, 406], \"label\": \"banana tree\"},\n {\"box_2d\": [533, 410, 600, 466], \"label\": \"banana tree\"},\n {\"box_2d\": [580, 336, 661, 398], \"label\": \"banana tree\"},\n {\"box_2d\": [625, 409, 697, 483], \"label\": \"banana tree\"},\n {\"box_2d\": [668, 342, 740, 412], \"label\": \"banana tree\"},\n {\"box_2d\": [714, 416, 782, 475], \"label\": \"banana tree\"},\n {\"box_2d\": [750, 322, 833, 404], \"label\": \"banana tree\"},\n {\"box_2d\": [796, 404, 872, 480], \"label\": \"banana tree\"},\n {\"box_2d\": [846, 341, 912, 405], \"label\": \"banana tree\"},\n {\"box_2d\": [879, 406, 945, 484], \"label\": \"banana tree\"},\n {\"box_2d\": [926, 334, 991, 401], \"label\": \"banana tree\"},\n {\"box_2d\": [964, 408, 1000, 478], \"label\": \"banana tree\"},\n {\"box_2d\": [185, 681, 255, 756], \"label\": \"banana tree\"},\n {\"box_2d\": [232, 691, 314, 764], \"label\": \"banana tree\"},\n {\"box_2d\": [274, 629, 340, 691], \"label\": \"banana tree\"},\n {\"box_2d\": [316, 691, 399, 767], \"label\": \"banana tree\"},\n {\"box_2d\": [363, 619, 443, 693], \"label\": \"banana tree\"},\n {\"box_2d\": [397, 696, 482, 772], \"label\": \"banana tree\"},\n {\"box_2d\": [449, 623, 512, 698], \"label\": \"banana tree\"},\n {\"box_2d\": [477, 696, 563, 771], \"label\": \"banana tree\"},\n {\"box_2d\": [530, 620, 611, 701], \"label\": \"banana tree\"},\n {\"box_2d\": [568, 703, 648, 778], \"label\": \"banana tree\"},\n {\"box_2d\": [617, 642, 681, 705], \"label\": \"banana tree\"},\n {\"box_2d\": [655, 694, 734, 778], \"label\": \"banana tree\"},\n {\"box_2d\": [696, 621, 769, 709], \"label\": \"banana tree\"},\n {\"box_2d\": [737, 700, 813, 778], \"label\": \"banana tree\"},\n {\"box_2d\": [785, 636, 862, 702], \"label\": \"banana tree\"},\n {\"box_2d\": [823, 693, 905, 768], \"label\": \"banana tree\"},\n {\"box_2d\": [868, 622, 938, 705], \"label\": \"banana tree\"},\n {\"box_2d\": [906, 700, 986, 769], \"label\": \"banana tree\"},\n {\"box_2d\": [954, 623, 1000, 699], \"label\": \"banana tree\"},\n {\"box_2d\": [201, 938, 267, 987], \"label\": \"banana tree\"},\n {\"box_2d\": [284, 926, 371, 995], \"label\": \"banana tree\"},\n {\"box_2d\": [375, 926, 444, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [449, 934, 534, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [540, 919, 623, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [625, 938, 697, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [704, 929, 784, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [794, 945, 862, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [876, 933, 955, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [963, 944, 1000, 995], \"label\": \"banana tree\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 2975, "elapsed_seconds": 25.744041125057265, "metadata": {"match_method": "map", "num_predictions": 48, "num_ground_truth": 47, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9872112274169922, "attempts": 1, "retries": 0, "total_seconds": 25.787}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 61, "image": "egg-detection_image32_jpg.rf.bd04bf65691e0bae0f1d97601289a543.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [176, 694, 255, 753], \"label\": \"egg\"},\n {\"box_2d\": [448, 428, 535, 492], \"label\": \"egg\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 262, "elapsed_seconds": 5.4637175829848275, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 5.5602}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 62, "image": "construction-safety_ppe_0407_jpg.rf.b54d8bba5b223e0515f3d28ff728e79a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [373, 333, 825, 412], \"label\": \"person\"},\n {\"box_2d\": [371, 353, 417, 383], \"label\": \"safety helmet\"},\n {\"box_2d\": [442, 344, 636, 393], \"label\": \"safety vest\"},\n {\"box_2d\": [360, 390, 783, 444], \"label\": \"person\"},\n {\"box_2d\": [357, 405, 405, 434], \"label\": \"safety helmet\"},\n {\"box_2d\": [428, 392, 588, 443], \"label\": \"safety vest\"},\n {\"box_2d\": [343, 456, 736, 511], \"label\": \"person\"},\n {\"box_2d\": [344, 463, 387, 496], \"label\": \"safety helmet\"},\n {\"box_2d\": [419, 457, 614, 506], \"label\": \"safety vest\"},\n {\"box_2d\": [357, 483, 678, 513], \"label\": \"person\"},\n {\"box_2d\": [379, 517, 814, 575], \"label\": \"person\"},\n {\"box_2d\": [378, 536, 439, 567], \"label\": \"safety helmet\"},\n {\"box_2d\": [449, 524, 648, 572], \"label\": \"safety vest\"},\n {\"box_2d\": [401, 579, 809, 636], \"label\": \"person\"},\n {\"box_2d\": [401, 591, 444, 617], \"label\": \"safety helmet\"},\n {\"box_2d\": [461, 582, 651, 630], \"label\": \"safety vest\"},\n {\"box_2d\": [348, 640, 822, 697], \"label\": \"person\"},\n {\"box_2d\": [348, 655, 391, 683], \"label\": \"safety helmet\"},\n {\"box_2d\": [427, 646, 610, 695], \"label\": \"safety vest\"},\n {\"box_2d\": [308, 614, 991, 767], \"label\": \"person\"},\n {\"box_2d\": [307, 699, 376, 743], \"label\": \"safety helmet\"},\n {\"box_2d\": [402, 687, 681, 764], \"label\": \"safety vest\"},\n {\"box_2d\": [359, 731, 862, 777], \"label\": \"person\"},\n {\"box_2d\": [358, 735, 398, 753], \"label\": \"safety helmet\"},\n {\"box_2d\": [332, 811, 899, 896], \"label\": \"person\"},\n {\"box_2d\": [331, 822, 375, 862], \"label\": \"safety helmet\"},\n {\"box_2d\": [415, 826, 637, 891], \"label\": \"safety vest\"}\n]\n```", "correct": true, "input_tokens": 1220, "output_tokens": 2950, "elapsed_seconds": 25.561408250010572, "metadata": {"match_method": "map", "num_predictions": 27, "num_ground_truth": 28, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9603960514068604, "attempts": 1, "retries": 0, "total_seconds": 25.5901}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 63, "image": "IMG_4931_jpg.rf.58c129944a1f2b663c55dbd43e27cf91.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [600, 248, 643, 270], \"label\": \"face\"},\n {\"box_2d\": [631, 341, 675, 364], \"label\": \"face\"},\n {\"box_2d\": [419, 250, 449, 267], \"label\": \"face\"},\n {\"box_2d\": [432, 281, 463, 297], \"label\": \"face\"},\n {\"box_2d\": [420, 375, 449, 391], \"label\": \"face\"},\n {\"box_2d\": [333, 400, 358, 413], \"label\": \"face\"},\n {\"box_2d\": [351, 428, 376, 443], \"label\": \"face\"},\n {\"box_2d\": [306, 492, 326, 503], \"label\": \"face\"},\n {\"box_2d\": [318, 523, 339, 534], \"label\": \"face\"},\n {\"box_2d\": [295, 555, 313, 565], \"label\": \"face\"},\n {\"box_2d\": [293, 606, 312, 616], \"label\": \"face\"},\n {\"box_2d\": [356, 598, 378, 610], \"label\": \"face\"},\n {\"box_2d\": [342, 614, 363, 624], \"label\": \"face\"},\n {\"box_2d\": [365, 623, 386, 635], \"label\": \"face\"},\n {\"box_2d\": [318, 634, 338, 645], \"label\": \"face\"},\n {\"box_2d\": [345, 646, 365, 656], \"label\": \"face\"},\n {\"box_2d\": [333, 695, 355, 706], \"label\": \"face\"},\n {\"box_2d\": [354, 725, 375, 736], \"label\": \"face\"},\n {\"box_2d\": [356, 756, 377, 767], \"label\": \"face\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 2354, "elapsed_seconds": 24.312689666985534, "metadata": {"match_method": "map", "num_predictions": 19, "num_ground_truth": 28, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6362689137458801, "attempts": 1, "retries": 0, "total_seconds": 24.6325}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 64, "image": "tile_232_jpg.rf.d215d900b9cd862d3217f88435d7ad8a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [590, 406, 646, 518], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [626, 546, 716, 744], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [667, 780, 728, 976], \"label\": \"ship in SAR satellite image\"}\n]\n```", "correct": true, "input_tokens": 1229, "output_tokens": 999, "elapsed_seconds": 12.727007666020654, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 12.7564}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 65, "image": "IMG_20250815_164441_jpg.rf.3c12e140b11a4091c99d31ed66a86850.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [94, 637, 150, 665], \"label\": \"barcode\"},\n {\"box_2d\": [147, 262, 203, 290], \"label\": \"barcode\"},\n {\"box_2d\": [155, 418, 181, 446], \"label\": \"barcode\"},\n {\"box_2d\": [181, 511, 235, 538], \"label\": \"barcode\"},\n {\"box_2d\": [499, 486, 525, 514], \"label\": \"barcode\"},\n {\"box_2d\": [502, 324, 558, 353], \"label\": \"barcode\"},\n {\"box_2d\": [506, 629, 561, 657], \"label\": \"barcode\"},\n {\"box_2d\": [513, 209, 568, 237], \"label\": \"barcode\"},\n {\"box_2d\": [535, 838, 589, 868], \"label\": \"barcode\"},\n {\"box_2d\": [597, 37, 623, 67], \"label\": \"barcode\"},\n {\"box_2d\": [604, 229, 629, 258], \"label\": \"barcode\"},\n {\"box_2d\": [612, 372, 639, 401], \"label\": \"barcode\"},\n {\"box_2d\": [616, 519, 641, 548], \"label\": \"barcode\"},\n {\"box_2d\": [621, 666, 646, 694], \"label\": \"barcode\"},\n {\"box_2d\": [629, 837, 654, 866], \"label\": \"barcode\"},\n {\"box_2d\": [633, 978, 657, 1000], \"label\": \"barcode\"},\n {\"box_2d\": [830, 41, 885, 70], \"label\": \"barcode\"},\n {\"box_2d\": [831, 214, 856, 243], \"label\": \"barcode\"},\n {\"box_2d\": [864, 653, 887, 680], \"label\": \"barcode\"},\n {\"box_2d\": [865, 396, 891, 424], \"label\": \"barcode\"},\n {\"box_2d\": [867, 525, 891, 553], \"label\": \"barcode\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 2220, "elapsed_seconds": 22.409089041058905, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 21, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 22.7287}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 66, "image": "car-part-detection_Car-damages-128_png_jpg.rf.e07bc73742c49cec70d8b7dc538a39d2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [555, 57, 773, 112], \"label\": \"front bumper\"},\n {\"box_2d\": [498, 67, 581, 108], \"label\": \"headlight\"},\n {\"box_2d\": [368, 70, 504, 333], \"label\": \"hood\"},\n {\"box_2d\": [228, 300, 416, 456], \"label\": \"windshield\"},\n {\"box_2d\": [344, 380, 418, 419], \"label\": \"mirror\"},\n {\"box_2d\": [221, 350, 415, 597], \"label\": \"front window\"},\n {\"box_2d\": [221, 316, 718, 595], \"label\": \"front door\"},\n {\"box_2d\": [217, 599, 391, 813], \"label\": \"back window\"},\n {\"box_2d\": [217, 563, 703, 814], \"label\": \"back door\"},\n {\"box_2d\": [246, 864, 381, 930], \"label\": \"back windshield\"},\n {\"box_2d\": [353, 895, 479, 933], \"label\": \"tail light\"},\n {\"box_2d\": [494, 855, 720, 951], \"label\": \"back bumper\"}\n]\n```", "correct": true, "input_tokens": 1224, "output_tokens": 1204, "elapsed_seconds": 12.190593749983236, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 13, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9587457776069641, "attempts": 1, "retries": 0, "total_seconds": 12.2152}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 67, "image": "Lego_73_low_jpeg.rf.bf207a14dd8d49e9b00aae2e1a8886e1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [60, 202, 130, 297], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [227, 43, 305, 146], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [188, 239, 260, 335], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [201, 452, 258, 558], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [104, 517, 184, 617], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [38, 678, 136, 786], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [232, 667, 320, 738], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [197, 761, 302, 825], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [185, 811, 287, 858], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [127, 841, 237, 886], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [158, 939, 249, 1000], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [397, 40, 498, 114], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [454, 270, 550, 329], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [413, 427, 483, 536], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [378, 630, 476, 690], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [386, 681, 467, 774], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [409, 728, 486, 812], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [385, 807, 469, 878], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [703, 92, 807, 170], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [608, 294, 659, 410], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [546, 391, 626, 485], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [588, 427, 652, 531], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [713, 395, 759, 498], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [527, 535, 604, 624], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [593, 588, 654, 691], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [718, 631, 783, 733], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [492, 796, 567, 864], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [568, 779, 653, 853], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [527, 851, 623, 947], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [636, 938, 728, 1000], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [705, 847, 790, 930], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [770, 893, 836, 970], \"label\": \"lego 3x2 brick\"}\n]\n```", "correct": true, "input_tokens": 1244, "output_tokens": 6769, "elapsed_seconds": 57.79345170909073, "metadata": {"match_method": "map", "num_predictions": 32, "num_ground_truth": 32, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8577557802200317, "attempts": 2, "retries": 1, "total_seconds": 120.4223, "transient_errors": ["RemoteProtocolError"]}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 68, "image": "IMG_6646_jpeg_jpg.rf.bb15616ff058bc9ba8f9683f61ab5fbb.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [345, 336, 410, 507], \"label\": \"green poker chip\"},\n {\"box_2d\": [388, 338, 427, 509], \"label\": \"green poker chip\"},\n {\"box_2d\": [404, 341, 444, 511], \"label\": \"green poker chip\"},\n {\"box_2d\": [419, 344, 460, 514], \"label\": \"green poker chip\"},\n {\"box_2d\": [433, 348, 477, 517], \"label\": \"green poker chip\"},\n {\"box_2d\": [448, 348, 493, 514], \"label\": \"green poker chip\"},\n {\"box_2d\": [453, 342, 511, 511], \"label\": \"green poker chip\"},\n {\"box_2d\": [311, 529, 372, 711], \"label\": \"green poker chip\"},\n {\"box_2d\": [349, 532, 388, 707], \"label\": \"green poker chip\"},\n {\"box_2d\": [359, 530, 404, 707], \"label\": \"green poker chip\"},\n {\"box_2d\": [376, 531, 421, 707], \"label\": \"green poker chip\"},\n {\"box_2d\": [392, 531, 438, 707], \"label\": \"green poker chip\"},\n {\"box_2d\": [407, 531, 454, 705], \"label\": \"green poker chip\"},\n {\"box_2d\": [421, 531, 469, 703], \"label\": \"green poker chip\"},\n {\"box_2d\": [436, 530, 484, 700], \"label\": \"green poker chip\"},\n {\"box_2d\": [448, 530, 499, 699], \"label\": \"green poker chip\"},\n {\"box_2d\": [460, 545, 522, 719], \"label\": \"green poker chip\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 1751, "elapsed_seconds": 15.943031249917112, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 17, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 15.9658}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 69, "image": "41_jpg.rf.2cb4080a10f215e4bd4d6ed6d4ea3e68.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [23, 382, 86, 624], \"label\": \"blood sample tube\"},\n {\"box_2d\": [18, 619, 82, 867], \"label\": \"blood sample tube\"},\n {\"box_2d\": [78, 384, 144, 622], \"label\": \"blood sample tube\"},\n {\"box_2d\": [75, 626, 141, 877], \"label\": \"blood sample tube\"},\n {\"box_2d\": [134, 464, 200, 710], \"label\": \"blood sample tube\"},\n {\"box_2d\": [175, 629, 275, 885], \"label\": \"blood sample tube\"},\n {\"box_2d\": [23, 867, 355, 920], \"label\": \"blood sample tube\"},\n {\"box_2d\": [90, 328, 349, 513], \"label\": \"blood sample tube\"},\n {\"box_2d\": [230, 496, 535, 620], \"label\": \"blood sample tube\"},\n {\"box_2d\": [338, 376, 608, 551], \"label\": \"blood sample tube\"},\n {\"box_2d\": [355, 474, 646, 625], \"label\": \"blood sample tube\"},\n {\"box_2d\": [231, 237, 549, 326], \"label\": \"blood sample tube\"},\n {\"box_2d\": [467, 179, 706, 382], \"label\": \"blood sample tube\"},\n {\"box_2d\": [549, 333, 731, 563], \"label\": \"blood sample tube\"},\n {\"box_2d\": [555, 416, 738, 643], \"label\": \"blood sample tube\"},\n {\"box_2d\": [304, 616, 610, 750], \"label\": \"blood sample tube\"},\n {\"box_2d\": [395, 636, 684, 791], \"label\": \"blood sample tube\"},\n {\"box_2d\": [364, 720, 681, 845], \"label\": \"blood sample tube\"},\n {\"box_2d\": [345, 829, 681, 888], \"label\": \"blood sample tube\"},\n {\"box_2d\": [353, 877, 689, 929], \"label\": \"blood sample tube\"},\n {\"box_2d\": [676, 669, 738, 929], \"label\": \"blood sample tube\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 2452, "elapsed_seconds": 21.36364908295218, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 21, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 21.3877}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 70, "image": "construction-safety_ppe_0710_jpg.rf.d335438ef5819cfad67cee1d9e8c6eab.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [172, 46, 886, 187], \"label\": \"person\"},\n {\"box_2d\": [172, 103, 232, 162], \"label\": \"safety helmet\"},\n {\"box_2d\": [283, 74, 514, 180], \"label\": \"safety vest\"},\n {\"box_2d\": [224, 148, 889, 281], \"label\": \"person\"},\n {\"box_2d\": [224, 177, 297, 245], \"label\": \"safety helmet\"},\n {\"box_2d\": [341, 165, 588, 273], \"label\": \"safety vest\"},\n {\"box_2d\": [192, 248, 829, 359], \"label\": \"person\"},\n {\"box_2d\": [190, 276, 244, 330], \"label\": \"safety helmet\"},\n {\"box_2d\": [297, 255, 511, 355], \"label\": \"safety vest\"},\n {\"box_2d\": [217, 311, 864, 444], \"label\": \"person\"},\n {\"box_2d\": [217, 347, 275, 404], \"label\": \"safety helmet\"},\n {\"box_2d\": [327, 323, 557, 427], \"label\": \"safety vest\"},\n {\"box_2d\": [220, 434, 839, 570], \"label\": \"person\"},\n {\"box_2d\": [220, 461, 281, 517], \"label\": \"safety helmet\"},\n {\"box_2d\": [327, 449, 540, 547], \"label\": \"safety vest\"},\n {\"box_2d\": [279, 542, 887, 676], \"label\": \"person\"},\n {\"box_2d\": [278, 569, 336, 628], \"label\": \"safety helmet\"},\n {\"box_2d\": [387, 555, 620, 654], \"label\": \"safety vest\"},\n {\"box_2d\": [211, 651, 860, 800], \"label\": \"person\"},\n {\"box_2d\": [210, 698, 267, 754], \"label\": \"safety helmet\"},\n {\"box_2d\": [317, 667, 526, 783], \"label\": \"safety vest\"},\n {\"box_2d\": [222, 740, 954, 931], \"label\": \"person\"},\n {\"box_2d\": [220, 783, 297, 858], \"label\": \"safety helmet\"},\n {\"box_2d\": [334, 762, 570, 899], \"label\": \"safety vest\"}\n]\n```", "correct": true, "input_tokens": 1222, "output_tokens": 1788, "elapsed_seconds": 14.973371208063327, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 24, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 15.0214}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 71, "image": "4103456_ContLeftUpper_f_jpg.rf.6635963edc568c350879157eaf0b4b06.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [387, 16, 418, 39], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [465, 36, 490, 60], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [521, 18, 568, 42], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [525, 98, 558, 125], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [538, 142, 564, 163], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [519, 180, 579, 204], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [362, 178, 414, 202], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [421, 179, 461, 202], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [361, 258, 396, 281], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [411, 259, 464, 282], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [556, 260, 580, 283], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [361, 338, 395, 362], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [413, 339, 462, 362], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [556, 341, 581, 364], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [352, 417, 383, 443], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [416, 419, 464, 443], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [353, 500, 393, 524], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [407, 740, 429, 761], \"label\": \"shipping container wall dent\"}\n]\n```", "correct": false, "input_tokens": 1255, "output_tokens": 2598, "elapsed_seconds": 24.924414832959883, "metadata": {"match_method": "map", "num_predictions": 18, "num_ground_truth": 20, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3564356565475464, "attempts": 1, "retries": 0, "total_seconds": 25.0017}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 72, "image": "V000087_0_0-Drive-Shaft_jpeg_jpg.rf.148a90e2fb96f98fb22ea082d09655d1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [172, 349, 214, 448], \"label\": \"surface roughness symbol\"},\n {\"box_2d\": [164, 434, 222, 497], \"label\": \"dimension annotation\"},\n {\"box_2d\": [168, 492, 241, 567], \"label\": \"dimension annotation\"},\n {\"box_2d\": [185, 554, 222, 631], \"label\": \"dimension annotation\"},\n {\"box_2d\": [244, 490, 291, 553], \"label\": \"dimension annotation\"},\n {\"box_2d\": [244, 550, 291, 667], \"label\": \"dimension annotation\"},\n {\"box_2d\": [268, 312, 321, 434], \"label\": \"dimension annotation\"},\n {\"box_2d\": [264, 432, 321, 577], \"label\": \"dimension annotation\"},\n {\"box_2d\": [155, 675, 262, 812], \"label\": \"dimension annotation\"},\n {\"box_2d\": [143, 757, 281, 906], \"label\": \"dimension annotation\"},\n {\"box_2d\": [484, 216, 541, 578], \"label\": \"dimension annotation\"},\n {\"box_2d\": [437, 575, 476, 626], \"label\": \"dimension annotation\"},\n {\"box_2d\": [469, 575, 517, 625], \"label\": \"dimension annotation\"},\n {\"box_2d\": [428, 575, 485, 670], \"label\": \"dimension annotation\"},\n {\"box_2d\": [800, 95, 967, 954], \"label\": \"technical drawing table\"}\n]\n```", "correct": false, "input_tokens": 1237, "output_tokens": 1900, "elapsed_seconds": 17.20452587492764, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.666666567325592, "attempts": 1, "retries": 0, "total_seconds": 17.2134}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 73, "image": "1_000290_png.rf.2ed72f4c5f09c4e50e5326dbdb424cd7.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [80, 563, 91, 591], \"label\": \"tire spike normal\"},\n {\"box_2d\": [94, 771, 108, 798], \"label\": \"tire spike normal\"},\n {\"box_2d\": [114, 259, 127, 286], \"label\": \"tire spike normal\"},\n {\"box_2d\": [134, 351, 146, 378], \"label\": \"tire spike normal\"},\n {\"box_2d\": [134, 746, 148, 774], \"label\": \"tire spike normal\"},\n {\"box_2d\": [158, 646, 172, 677], \"label\": \"tire spike normal\"},\n {\"box_2d\": [205, 429, 219, 458], \"label\": \"tire spike normal\"},\n {\"box_2d\": [217, 274, 232, 301], \"label\": \"tire spike normal\"},\n {\"box_2d\": [236, 563, 252, 594], \"label\": \"tire spike normal\"},\n {\"box_2d\": [248, 723, 266, 755], \"label\": \"tire spike normal\"},\n {\"box_2d\": [296, 495, 313, 525], \"label\": \"tire spike normal\"},\n {\"box_2d\": [301, 217, 319, 245], \"label\": \"tire spike normal\"},\n {\"box_2d\": [337, 778, 358, 810], \"label\": \"tire spike normal\"},\n {\"box_2d\": [381, 365, 398, 397], \"label\": \"tire spike normal\"},\n {\"box_2d\": [424, 622, 443, 655], \"label\": \"tire spike normal\"},\n {\"box_2d\": [450, 396, 467, 428], \"label\": \"tire spike normal\"},\n {\"box_2d\": [456, 200, 476, 230], \"label\": \"tire spike normal\"},\n {\"box_2d\": [494, 589, 516, 623], \"label\": \"tire spike normal\"},\n {\"box_2d\": [499, 787, 521, 820], \"label\": \"tire spike normal\"},\n {\"box_2d\": [535, 246, 559, 279], \"label\": \"tire spike normal\"},\n {\"box_2d\": [583, 738, 609, 772], \"label\": \"tire spike normal\"},\n {\"box_2d\": [640, 415, 663, 448], \"label\": \"tire spike absent\"},\n {\"box_2d\": [654, 171, 678, 202], \"label\": \"tire spike normal\"},\n {\"box_2d\": [695, 566, 717, 597], \"label\": \"tire spike normal\"},\n {\"box_2d\": [705, 814, 730, 848], \"label\": \"tire spike normal\"},\n {\"box_2d\": [758, 204, 779, 234], \"label\": \"tire spike normal\"},\n {\"box_2d\": [812, 781, 839, 815], \"label\": \"tire spike normal\"},\n {\"box_2d\": [826, 316, 848, 349], \"label\": \"tire spike normal\"},\n {\"box_2d\": [880, 667, 902, 699], \"label\": \"tire spike normal\"},\n {\"box_2d\": [889, 488, 914, 524], \"label\": \"tire spike normal\"}\n]\n```", "correct": false, "input_tokens": 1215, "output_tokens": 2849, "elapsed_seconds": 25.963980708038434, "metadata": {"match_method": "map", "num_predictions": 30, "num_ground_truth": 35, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.4438251256942749, "attempts": 1, "retries": 0, "total_seconds": 26.0019}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 74, "image": "GP010212_JPG_jpg.rf.6a034cdac286be2f0a162b6bfc04e1c0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [254, 198, 362, 386], \"label\": \"carrot\"},\n {\"box_2d\": [269, 231, 377, 444], \"label\": \"carrot\"},\n {\"box_2d\": [231, 498, 273, 720], \"label\": \"carrot\"},\n {\"box_2d\": [253, 448, 314, 608], \"label\": \"carrot\"},\n {\"box_2d\": [278, 505, 369, 681], \"label\": \"carrot\"},\n {\"box_2d\": [320, 488, 391, 648], \"label\": \"carrot\"},\n {\"box_2d\": [338, 431, 412, 584], \"label\": \"carrot\"},\n {\"box_2d\": [297, 672, 452, 703], \"label\": \"carrot\"},\n {\"box_2d\": [380, 523, 444, 688], \"label\": \"carrot\"},\n {\"box_2d\": [364, 248, 408, 486], \"label\": \"carrot\"},\n {\"box_2d\": [355, 95, 495, 259], \"label\": \"carrot\"},\n {\"box_2d\": [373, 184, 506, 289], \"label\": \"carrot\"},\n {\"box_2d\": [497, 108, 634, 236], \"label\": \"carrot\"},\n {\"box_2d\": [478, 209, 623, 353], \"label\": \"carrot\"},\n {\"box_2d\": [628, 208, 670, 428], \"label\": \"carrot\"},\n {\"box_2d\": [533, 300, 661, 491], \"label\": \"carrot\"},\n {\"box_2d\": [397, 327, 434, 503], \"label\": \"carrot\"},\n {\"box_2d\": [427, 366, 455, 514], \"label\": \"carrot\"},\n {\"box_2d\": [427, 284, 520, 491], \"label\": \"carrot\"},\n {\"box_2d\": [470, 284, 527, 455], \"label\": \"carrot\"},\n {\"box_2d\": [456, 403, 522, 567], \"label\": \"carrot\"},\n {\"box_2d\": [450, 441, 489, 650], \"label\": \"carrot\"},\n {\"box_2d\": [522, 427, 553, 591], \"label\": \"carrot\"},\n {\"box_2d\": [531, 331, 589, 583], \"label\": \"carrot\"},\n {\"box_2d\": [488, 616, 569, 809], \"label\": \"carrot\"},\n {\"box_2d\": [573, 527, 611, 725], \"label\": \"carrot\"},\n {\"box_2d\": [608, 559, 644, 723], \"label\": \"carrot\"},\n {\"box_2d\": [628, 527, 686, 769], \"label\": \"carrot\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 2833, "elapsed_seconds": 25.661497125052847, "metadata": {"match_method": "map", "num_predictions": 28, "num_ground_truth": 28, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 25.6866}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 75, "image": "egg-detection_image25_jpg.rf.5c4d3f7ce6887203cc33b5f86e849ef9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [74, 751, 145, 799], \"label\": \"egg\"},\n {\"box_2d\": [90, 798, 159, 840], \"label\": \"egg\"},\n {\"box_2d\": [114, 715, 186, 765], \"label\": \"egg\"},\n {\"box_2d\": [242, 394, 329, 453], \"label\": \"egg\"},\n {\"box_2d\": [264, 689, 350, 751], \"label\": \"egg\"},\n {\"box_2d\": [290, 810, 364, 855], \"label\": \"egg\"},\n {\"box_2d\": [326, 661, 405, 712], \"label\": \"egg\"},\n {\"box_2d\": [373, 581, 466, 632], \"label\": \"egg\"},\n {\"box_2d\": [399, 809, 472, 855], \"label\": \"egg\"},\n {\"box_2d\": [495, 444, 580, 505], \"label\": \"egg\"},\n {\"box_2d\": [564, 521, 646, 580], \"label\": \"egg\"},\n {\"box_2d\": [616, 485, 720, 533], \"label\": \"egg\"},\n {\"box_2d\": [683, 430, 760, 489], \"label\": \"egg\"},\n {\"box_2d\": [854, 600, 932, 654], \"label\": \"egg\"},\n {\"box_2d\": [846, 678, 921, 731], \"label\": \"egg\"},\n {\"box_2d\": [836, 745, 904, 790], \"label\": \"egg\"},\n {\"box_2d\": [888, 710, 962, 756], \"label\": \"egg\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 1184, "elapsed_seconds": 14.948740791995078, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 17, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 15.0339}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 76, "image": "94D76C4A-9650-486B-8278-406A692F552F_jpg.rf.441749660b1bde146bfdbfa517d4e058.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [195, 358, 241, 404], \"label\": \"pill\"},\n {\"box_2d\": [188, 413, 234, 459], \"label\": \"pill\"},\n {\"box_2d\": [182, 490, 227, 535], \"label\": \"pill\"},\n {\"box_2d\": [164, 577, 209, 622], \"label\": \"pill\"},\n {\"box_2d\": [166, 623, 211, 669], \"label\": \"pill\"},\n {\"box_2d\": [198, 661, 244, 708], \"label\": \"pill\"},\n {\"box_2d\": [234, 435, 280, 481], \"label\": \"pill\"},\n {\"box_2d\": [268, 461, 314, 506], \"label\": \"pill\"},\n {\"box_2d\": [264, 562, 310, 607], \"label\": \"pill\"},\n {\"box_2d\": [269, 605, 315, 651], \"label\": \"pill\"},\n {\"box_2d\": [298, 660, 345, 708], \"label\": \"pill\"},\n {\"box_2d\": [322, 434, 368, 479], \"label\": \"pill\"},\n {\"box_2d\": [309, 475, 355, 520], \"label\": \"pill\"},\n {\"box_2d\": [321, 518, 367, 564], \"label\": \"pill\"},\n {\"box_2d\": [318, 591, 364, 637], \"label\": \"pill\"},\n {\"box_2d\": [342, 639, 389, 686], \"label\": \"pill\"},\n {\"box_2d\": [361, 707, 408, 755], \"label\": \"pill\"},\n {\"box_2d\": [360, 498, 406, 544], \"label\": \"pill\"},\n {\"box_2d\": [360, 542, 406, 587], \"label\": \"pill\"},\n {\"box_2d\": [386, 579, 432, 625], \"label\": \"pill\"},\n {\"box_2d\": [387, 625, 433, 672], \"label\": \"pill\"},\n {\"box_2d\": [408, 668, 454, 715], \"label\": \"pill\"},\n {\"box_2d\": [385, 455, 431, 501], \"label\": \"pill\"},\n {\"box_2d\": [416, 425, 461, 471], \"label\": \"pill\"},\n {\"box_2d\": [408, 509, 454, 555], \"label\": \"pill\"},\n {\"box_2d\": [423, 549, 469, 595], \"label\": \"pill\"},\n {\"box_2d\": [443, 586, 490, 632], \"label\": \"pill\"},\n {\"box_2d\": [455, 676, 501, 723], \"label\": \"pill\"},\n {\"box_2d\": [452, 517, 498, 563], \"label\": \"pill\"},\n {\"box_2d\": [485, 574, 532, 621], \"label\": \"pill\"},\n {\"box_2d\": [496, 633, 543, 680], \"label\": \"pill\"},\n {\"box_2d\": [500, 485, 546, 532], \"label\": \"pill\"},\n {\"box_2d\": [345, 274, 391, 320], \"label\": \"pill\"},\n {\"box_2d\": [364, 338, 410, 384], \"label\": \"pill\"},\n {\"box_2d\": [386, 300, 432, 346], \"label\": \"pill\"},\n {\"box_2d\": [404, 359, 450, 405], \"label\": \"pill\"},\n {\"box_2d\": [433, 237, 479, 283], \"label\": \"pill\"},\n {\"box_2d\": [426, 285, 472, 331], \"label\": \"pill\"},\n {\"box_2d\": [468, 280, 514, 326], \"label\": \"pill\"},\n {\"box_2d\": [468, 330, 514, 376], \"label\": \"pill\"},\n {\"box_2d\": [525, 302, 572, 348], \"label\": \"pill\"},\n {\"box_2d\": [513, 403, 560, 450], \"label\": \"pill\"},\n {\"box_2d\": [615, 342, 661, 390], \"label\": \"pill\"},\n {\"box_2d\": [602, 659, 650, 707], \"label\": \"pill\"},\n {\"box_2d\": [731, 205, 779, 250], \"label\": \"pill\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 3299, "elapsed_seconds": 31.60467691696249, "metadata": {"match_method": "map", "num_predictions": 45, "num_ground_truth": 45, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 31.9061}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 77, "image": "IMG_3989_JPG.rf.c4cc3b74f996b28db8e9373b455775a3.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [412, 411, 448, 430], \"label\": \"face\"},\n {\"box_2d\": [302, 381, 330, 395], \"label\": \"face\"},\n {\"box_2d\": [302, 332, 328, 345], \"label\": \"face\"},\n {\"box_2d\": [400, 598, 423, 611], \"label\": \"face\"},\n {\"box_2d\": [270, 459, 291, 471], \"label\": \"face\"},\n {\"box_2d\": [205, 310, 226, 322], \"label\": \"face\"},\n {\"box_2d\": [213, 337, 233, 347], \"label\": \"face\"},\n {\"box_2d\": [200, 277, 223, 288], \"label\": \"face\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 1624, "elapsed_seconds": 16.85456649994012, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5631188154220581, "attempts": 1, "retries": 0, "total_seconds": 17.1656}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 78, "image": "basketball-player-detection_boston-celtics-new-york-knicks-game-4-q1-01-22-01-16-0112_png.rf.813de841eef35ee5de0aa209e2d3e51f.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [220, 224, 255, 244], \"label\": \"basketball\"},\n {\"box_2d\": [299, 177, 599, 229], \"label\": \"player taking jump shot\"},\n {\"box_2d\": [299, 177, 599, 229], \"label\": \"player\"},\n {\"box_2d\": [309, 221, 581, 317], \"label\": \"player\"},\n {\"box_2d\": [609, 249, 879, 315], \"label\": \"player\"},\n {\"box_2d\": [515, 400, 769, 453], \"label\": \"player\"},\n {\"box_2d\": [295, 353, 491, 411], \"label\": \"player\"},\n {\"box_2d\": [228, 304, 412, 359], \"label\": \"player\"},\n {\"box_2d\": [281, 591, 463, 634], \"label\": \"player\"},\n {\"box_2d\": [219, 609, 384, 646], \"label\": \"player\"},\n {\"box_2d\": [511, 720, 726, 787], \"label\": \"player\"},\n {\"box_2d\": [624, 819, 821, 871], \"label\": \"player\"},\n {\"box_2d\": [687, 576, 868, 623], \"label\": \"referee\"},\n {\"box_2d\": [269, 767, 459, 801], \"label\": \"referee\"},\n {\"box_2d\": [246, 0, 434, 43], \"label\": \"referee\"},\n {\"box_2d\": [224, 714, 283, 754], \"label\": \"basket rim\"},\n {\"box_2d\": [677, 278, 707, 290], \"label\": \"jersey number\"},\n {\"box_2d\": [691, 839, 721, 853], \"label\": \"jersey number\"},\n {\"box_2d\": [396, 263, 416, 277], \"label\": \"jersey number\"},\n {\"box_2d\": [335, 379, 357, 389], \"label\": \"jersey number\"},\n {\"box_2d\": [555, 430, 581, 444], \"label\": \"jersey number\"},\n {\"box_2d\": [572, 753, 591, 763], \"label\": \"jersey number\"},\n {\"box_2d\": [408, 181, 433, 188], \"label\": \"jersey number\"},\n {\"box_2d\": [742, 596, 767, 609], \"label\": \"jersey number\"}\n]\n```", "correct": false, "input_tokens": 1251, "output_tokens": 2638, "elapsed_seconds": 24.201555999927223, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 25, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7671616673469543, "attempts": 1, "retries": 0, "total_seconds": 24.287}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 79, "image": "Screenshot-2024-05-16-150258_png.rf.730fbfcbd2cdbb24d8003d2a2cd88782.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [65, 13, 94, 43], \"label\": \"bullet hole\"},\n {\"box_2d\": [113, 102, 141, 132], \"label\": \"bullet hole\"},\n {\"box_2d\": [170, 193, 200, 224], \"label\": \"bullet hole\"},\n {\"box_2d\": [183, 344, 213, 377], \"label\": \"bullet hole\"},\n {\"box_2d\": [251, 482, 279, 513], \"label\": \"bullet hole\"},\n {\"box_2d\": [0, 608, 25, 640], \"label\": \"bullet hole\"},\n {\"box_2d\": [57, 767, 88, 799], \"label\": \"bullet hole\"},\n {\"box_2d\": [104, 896, 135, 929], \"label\": \"bullet hole\"},\n {\"box_2d\": [142, 816, 174, 848], \"label\": \"bullet hole\"},\n {\"box_2d\": [160, 684, 190, 715], \"label\": \"bullet hole\"},\n {\"box_2d\": [237, 739, 273, 773], \"label\": \"bullet hole\"},\n {\"box_2d\": [234, 905, 267, 941], \"label\": \"bullet hole\"},\n {\"box_2d\": [326, 801, 360, 835], \"label\": \"bullet hole\"},\n {\"box_2d\": [351, 976, 381, 1000], \"label\": \"bullet hole\"},\n {\"box_2d\": [398, 725, 430, 762], \"label\": \"bullet hole\"},\n {\"box_2d\": [452, 820, 483, 852], \"label\": \"bullet hole\"},\n {\"box_2d\": [434, 618, 466, 654], \"label\": \"bullet hole\"},\n {\"box_2d\": [485, 695, 519, 733], \"label\": \"bullet hole\"},\n {\"box_2d\": [529, 789, 558, 827], \"label\": \"bullet hole\"},\n {\"box_2d\": [336, 0, 366, 23], \"label\": \"bullet hole\"},\n {\"box_2d\": [438, 221, 470, 252], \"label\": \"bullet hole\"},\n {\"box_2d\": [700, 415, 730, 449], \"label\": \"bullet hole\"},\n {\"box_2d\": [876, 355, 905, 388], \"label\": \"bullet hole\"},\n {\"box_2d\": [982, 185, 1000, 215], \"label\": \"bullet hole\"},\n {\"box_2d\": [900, 610, 930, 643], \"label\": \"bullet hole\"},\n {\"box_2d\": [660, 685, 690, 717], \"label\": \"bullet hole\"},\n {\"box_2d\": [719, 894, 752, 927], \"label\": \"bullet hole\"},\n {\"box_2d\": [818, 847, 848, 879], \"label\": \"bullet hole\"},\n {\"box_2d\": [831, 930, 862, 961], \"label\": \"bullet hole\"},\n {\"box_2d\": [920, 920, 948, 952], \"label\": \"bullet hole\"}\n]\n```", "correct": false, "input_tokens": 1226, "output_tokens": 3098, "elapsed_seconds": 25.980265000020154, "metadata": {"match_method": "map", "num_predictions": 30, "num_ground_truth": 30, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.515654444694519, "attempts": 1, "retries": 0, "total_seconds": 25.9968}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 80, "image": "AF6880-9_2025_NCPT-128_JPG_jpg.rf.58feab8edece278692e9ee124939da54.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [221, 195, 297, 224], \"label\": \"potato\"},\n {\"box_2d\": [440, 193, 504, 222], \"label\": \"potato\"},\n {\"box_2d\": [506, 194, 573, 224], \"label\": \"potato\"},\n {\"box_2d\": [571, 189, 642, 222], \"label\": \"potato\"},\n {\"box_2d\": [645, 184, 731, 223], \"label\": \"potato\"},\n {\"box_2d\": [731, 188, 845, 232], \"label\": \"potato\"},\n {\"box_2d\": [34, 249, 86, 268], \"label\": \"potato\"},\n {\"box_2d\": [265, 241, 353, 266], \"label\": \"potato\"},\n {\"box_2d\": [416, 232, 517, 270], \"label\": \"potato\"},\n {\"box_2d\": [573, 228, 653, 267], \"label\": \"potato\"},\n {\"box_2d\": [907, 224, 1000, 266], \"label\": \"potato\"},\n {\"box_2d\": [153, 284, 241, 317], \"label\": \"potato\"},\n {\"box_2d\": [304, 279, 381, 309], \"label\": \"potato\"},\n {\"box_2d\": [381, 275, 466, 316], \"label\": \"potato\"},\n {\"box_2d\": [496, 273, 584, 310], \"label\": \"potato\"},\n {\"box_2d\": [582, 280, 640, 308], \"label\": \"potato\"},\n {\"box_2d\": [638, 273, 722, 311], \"label\": \"potato\"},\n {\"box_2d\": [853, 271, 968, 317], \"label\": \"potato\"},\n {\"box_2d\": [6, 322, 91, 359], \"label\": \"potato\"},\n {\"box_2d\": [93, 324, 168, 356], \"label\": \"potato\"},\n {\"box_2d\": [168, 326, 241, 357], \"label\": \"potato\"},\n {\"box_2d\": [241, 328, 336, 360], \"label\": \"potato\"},\n {\"box_2d\": [334, 310, 455, 357], \"label\": \"potato\"},\n {\"box_2d\": [502, 315, 597, 360], \"label\": \"potato\"},\n {\"box_2d\": [603, 316, 720, 363], \"label\": \"potato\"},\n {\"box_2d\": [713, 316, 795, 351], \"label\": \"potato\"},\n {\"box_2d\": [793, 320, 905, 363], \"label\": \"potato\"},\n {\"box_2d\": [909, 322, 987, 352], \"label\": \"potato\"},\n {\"box_2d\": [26, 376, 82, 400], \"label\": \"potato\"},\n {\"box_2d\": [80, 368, 172, 406], \"label\": \"potato\"},\n {\"box_2d\": [172, 357, 295, 406], \"label\": \"potato\"},\n {\"box_2d\": [319, 359, 422, 406], \"label\": \"potato\"},\n {\"box_2d\": [420, 351, 526, 403], \"label\": \"potato\"},\n {\"box_2d\": [528, 367, 614, 403], \"label\": \"potato\"},\n {\"box_2d\": [728, 364, 845, 400], \"label\": \"potato\"},\n {\"box_2d\": [836, 368, 901, 390], \"label\": \"potato\"},\n {\"box_2d\": [9, 424, 39, 441], \"label\": \"potato\"},\n {\"box_2d\": [32, 409, 151, 456], \"label\": \"potato\"},\n {\"box_2d\": [153, 408, 263, 446], \"label\": \"potato\"},\n {\"box_2d\": [280, 420, 317, 439], \"label\": \"potato\"},\n {\"box_2d\": [312, 409, 405, 445], \"label\": \"potato\"},\n {\"box_2d\": [442, 407, 552, 452], \"label\": \"potato\"},\n {\"box_2d\": [666, 404, 784, 448], \"label\": \"potato\"},\n {\"box_2d\": [780, 411, 843, 437], \"label\": \"potato\"},\n {\"box_2d\": [841, 410, 927, 441], \"label\": \"potato\"},\n {\"box_2d\": [73, 466, 112, 486], \"label\": \"potato\"},\n {\"box_2d\": [110, 455, 200, 489], \"label\": \"potato\"},\n {\"box_2d\": [265, 450, 366, 492], \"label\": \"potato\"},\n {\"box_2d\": [407, 447, 509, 491], \"label\": \"potato\"},\n {\"box_2d\": [509, 452, 582, 487], \"label\": \"potato\"},\n {\"box_2d\": [580, 451, 688, 494], \"label\": \"potato\"},\n {\"box_2d\": [688, 447, 791, 489], \"label\": \"potato\"},\n {\"box_2d\": [825, 446, 925, 485], \"label\": \"potato\"},\n {\"box_2d\": [933, 452, 1000, 485], \"label\": \"potato\"},\n {\"box_2d\": [39, 504, 125, 538], \"label\": \"potato\"},\n {\"box_2d\": [123, 500, 218, 540], \"label\": \"potato\"},\n {\"box_2d\": [259, 502, 345, 539], \"label\": \"potato\"},\n {\"box_2d\": [362, 496, 468, 535], \"label\": \"potato\"},\n {\"box_2d\": [468, 500, 554, 533], \"label\": \"potato\"},\n {\"box_2d\": [558, 497, 642, 528], \"label\": \"potato\"},\n {\"box_2d\": [843, 485, 950, 532], \"label\": \"potato\"},\n {\"box_2d\": [0, 539, 114, 591], \"label\": \"potato\"},\n {\"box_2d\": [112, 542, 220, 591], \"label\": \"potato\"},\n {\"box_2d\": [213, 548, 289, 578], \"label\": \"potato\"},\n {\"box_2d\": [289, 546, 373, 577], \"label\": \"potato\"},\n {\"box_2d\": [392, 541, 494, 578], \"label\": \"potato\"},\n {\"box_2d\": [498, 532, 616, 575], \"label\": \"potato\"},\n {\"box_2d\": [690, 539, 797, 583], \"label\": \"potato\"},\n {\"box_2d\": [4, 590, 110, 633], \"label\": \"potato\"},\n {\"box_2d\": [125, 589, 222, 631], \"label\": \"potato\"},\n {\"box_2d\": [401, 588, 504, 624], \"label\": \"potato\"},\n {\"box_2d\": [886, 584, 970, 612], \"label\": \"potato\"},\n {\"box_2d\": [39, 631, 138, 669], \"label\": \"potato\"},\n {\"box_2d\": [494, 626, 599, 661], \"label\": \"potato\"},\n {\"box_2d\": [610, 630, 716, 665], \"label\": \"potato\"},\n {\"box_2d\": [216, 671, 334, 716], \"label\": \"potato\"},\n {\"box_2d\": [513, 680, 571, 702], \"label\": \"potato\"},\n {\"box_2d\": [774, 675, 838, 698], \"label\": \"potato\"},\n {\"box_2d\": [95, 722, 157, 750], \"label\": \"potato\"},\n {\"box_2d\": [211, 721, 304, 756], \"label\": \"potato\"},\n {\"box_2d\": [481, 708, 580, 747], \"label\": \"potato\"},\n {\"box_2d\": [119, 761, 237, 812], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 6219, "elapsed_seconds": 57.394387874985114, "metadata": {"match_method": "map", "num_predictions": 82, "num_ground_truth": 82, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 57.8532}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 81, "image": "GP010253_JPG_jpg.rf.617173565602dbb2684e6af5ddab9032.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [48, 546, 179, 868], \"label\": \"carrot\"},\n {\"box_2d\": [138, 558, 206, 853], \"label\": \"carrot\"},\n {\"box_2d\": [156, 399, 268, 694], \"label\": \"carrot\"},\n {\"box_2d\": [184, 412, 304, 709], \"label\": \"carrot\"},\n {\"box_2d\": [178, 355, 355, 495], \"label\": \"carrot\"},\n {\"box_2d\": [188, 390, 331, 513], \"label\": \"carrot\"},\n {\"box_2d\": [195, 725, 296, 863], \"label\": \"carrot\"},\n {\"box_2d\": [279, 381, 467, 570], \"label\": \"carrot\"},\n {\"box_2d\": [282, 509, 405, 773], \"label\": \"carrot\"},\n {\"box_2d\": [304, 487, 461, 791], \"label\": \"carrot\"},\n {\"box_2d\": [313, 608, 441, 798], \"label\": \"carrot\"},\n {\"box_2d\": [448, 305, 639, 372], \"label\": \"carrot\"},\n {\"box_2d\": [481, 351, 557, 560], \"label\": \"carrot\"},\n {\"box_2d\": [485, 428, 667, 528], \"label\": \"carrot\"},\n {\"box_2d\": [517, 434, 766, 496], \"label\": \"carrot\"},\n {\"box_2d\": [568, 520, 790, 571], \"label\": \"carrot\"},\n {\"box_2d\": [456, 543, 735, 626], \"label\": \"carrot\"},\n {\"box_2d\": [559, 610, 813, 657], \"label\": \"carrot\"},\n {\"box_2d\": [634, 627, 839, 716], \"label\": \"carrot\"},\n {\"box_2d\": [549, 690, 813, 756], \"label\": \"carrot\"},\n {\"box_2d\": [413, 726, 643, 800], \"label\": \"carrot\"},\n {\"box_2d\": [726, 696, 886, 868], \"label\": \"carrot\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 2302, "elapsed_seconds": 21.705020915949717, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 21.7223}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 82, "image": "1704195139272_jpg.rf.6a6621507dbbf3a3fbb417d17569c709.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [84, 662, 126, 709], \"label\": \"lentil grain\"},\n {\"box_2d\": [216, 344, 258, 386], \"label\": \"lentil grain\"},\n {\"box_2d\": [219, 568, 263, 617], \"label\": \"lentil grain\"},\n {\"box_2d\": [392, 378, 434, 421], \"label\": \"lentil grain\"},\n {\"box_2d\": [410, 562, 450, 609], \"label\": \"lentil grain\"},\n {\"box_2d\": [408, 617, 446, 662], \"label\": \"lentil grain\"},\n {\"box_2d\": [543, 421, 581, 463], \"label\": \"lentil grain\"},\n {\"box_2d\": [672, 611, 712, 657], \"label\": \"lentil grain\"},\n {\"box_2d\": [738, 388, 777, 430], \"label\": \"lentil grain\"},\n {\"box_2d\": [743, 728, 787, 780], \"label\": \"lentil grain\"},\n {\"box_2d\": [900, 401, 943, 448], \"label\": \"lentil grain\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 1129, "elapsed_seconds": 11.940199957927689, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 11.9531}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 83, "image": "preannot1_326_png.rf.9e036dcc9355b37dec6ff1b3aff71d0b.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [66, 620, 75, 636], \"label\": \"tire spike normal\"},\n {\"box_2d\": [108, 359, 118, 376], \"label\": \"tire spike normal\"},\n {\"box_2d\": [143, 328, 153, 344], \"label\": \"tire spike normal\"},\n {\"box_2d\": [168, 544, 180, 560], \"label\": \"tire spike normal\"},\n {\"box_2d\": [184, 619, 196, 637], \"label\": \"tire spike normal\"},\n {\"box_2d\": [215, 440, 226, 456], \"label\": \"tire spike normal\"},\n {\"box_2d\": [227, 666, 240, 686], \"label\": \"tire spike normal\"},\n {\"box_2d\": [231, 362, 244, 382], \"label\": \"tire spike normal\"},\n {\"box_2d\": [274, 314, 287, 336], \"label\": \"tire spike normal\"},\n {\"box_2d\": [280, 619, 294, 640], \"label\": \"tire spike normal\"},\n {\"box_2d\": [324, 660, 339, 680], \"label\": \"tire spike normal\"},\n {\"box_2d\": [332, 355, 346, 376], \"label\": \"tire spike normal\"},\n {\"box_2d\": [386, 632, 403, 657], \"label\": \"tire spike normal\"},\n {\"box_2d\": [426, 434, 443, 458], \"label\": \"tire spike normal\"},\n {\"box_2d\": [439, 328, 455, 350], \"label\": \"tire spike normal\"},\n {\"box_2d\": [493, 326, 508, 347], \"label\": \"tire spike normal\"},\n {\"box_2d\": [505, 623, 521, 645], \"label\": \"tire spike normal\"},\n {\"box_2d\": [557, 363, 574, 386], \"label\": \"tire spike normal\"},\n {\"box_2d\": [599, 549, 616, 571], \"label\": \"tire spike normal\"},\n {\"box_2d\": [610, 329, 625, 351], \"label\": \"tire spike normal\"},\n {\"box_2d\": [611, 642, 628, 664], \"label\": \"tire spike normal\"},\n {\"box_2d\": [662, 675, 678, 697], \"label\": \"tire spike normal\"},\n {\"box_2d\": [712, 427, 728, 448], \"label\": \"tire spike normal\"},\n {\"box_2d\": [726, 649, 742, 671], \"label\": \"tire spike normal\"},\n {\"box_2d\": [739, 369, 753, 389], \"label\": \"tire spike normal\"},\n {\"box_2d\": [777, 319, 789, 339], \"label\": \"tire spike normal\"},\n {\"box_2d\": [777, 676, 791, 697], \"label\": \"tire spike normal\"},\n {\"box_2d\": [833, 628, 847, 648], \"label\": \"tire spike normal\"},\n {\"box_2d\": [862, 451, 874, 469], \"label\": \"tire spike normal\"},\n {\"box_2d\": [875, 381, 886, 400], \"label\": \"tire spike normal\"}\n]\n```", "correct": false, "input_tokens": 1202, "output_tokens": 2660, "elapsed_seconds": 22.48358383390587, "metadata": {"match_method": "map", "num_predictions": 30, "num_ground_truth": 42, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6716171503067017, "attempts": 1, "retries": 0, "total_seconds": 22.574}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 84, "image": "fall-detection_cameraOne-blue-before_mp4-10_jpg.rf.e26a811f1502cc342db7badfe48642d4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [581, 550, 725, 727], \"label\": \"fallen person\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 248, "elapsed_seconds": 4.73818645789288, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 4.7562}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 85, "image": "IMG_3898_JPG.rf.7efec82c7f803d0db60f9543524df2d2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [329, 81, 421, 224], \"label\": \"100 poker chip\"},\n {\"box_2d\": [306, 221, 396, 360], \"label\": \"500 poker chip\"},\n {\"box_2d\": [362, 315, 459, 460], \"label\": \"10 poker chip\"},\n {\"box_2d\": [379, 454, 477, 600], \"label\": \"5 poker chip\"},\n {\"box_2d\": [302, 610, 393, 754], \"label\": \"100 poker chip\"},\n {\"box_2d\": [354, 734, 450, 884], \"label\": \"100 poker chip\"},\n {\"box_2d\": [396, 603, 495, 755], \"label\": \"500 poker chip\"},\n {\"box_2d\": [413, 145, 514, 297], \"label\": \"50 poker chip\"},\n {\"box_2d\": [485, 237, 595, 394], \"label\": \"20 poker chip\"},\n {\"box_2d\": [465, 392, 574, 546], \"label\": \"50 poker chip\"},\n {\"box_2d\": [492, 606, 604, 769], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [594, 211, 720, 381], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [551, 475, 672, 639], \"label\": \"50 poker chip\"},\n {\"box_2d\": [588, 702, 714, 875], \"label\": \"10000 poker chip\"},\n {\"box_2d\": [639, 361, 773, 535], \"label\": \"10 poker chip\"},\n {\"box_2d\": [680, 598, 820, 779], \"label\": \"10 poker chip\"},\n {\"box_2d\": [751, 446, 902, 634], \"label\": \"5 poker chip\"}\n]\n```", "correct": true, "input_tokens": 1252, "output_tokens": 2028, "elapsed_seconds": 27.359284749953076, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 18, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9579207897186279, "attempts": 1, "retries": 0, "total_seconds": 27.9436}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 86, "image": "2024-12-05T02-00-59-875Z-1008_jpg.rf.e6de2a9a15084a14389fc0bcc250e3a1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [304, 461, 370, 497], \"label\": \"screw\"},\n {\"box_2d\": [639, 933, 699, 976], \"label\": \"screw\"},\n {\"box_2d\": [742, 792, 807, 836], \"label\": \"screw\"},\n {\"box_2d\": [644, 826, 799, 942], \"label\": \"wire hole\"}\n]\n```", "correct": false, "input_tokens": 1203, "output_tokens": 931, "elapsed_seconds": 12.816356332972646, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 6, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6353134512901306, "attempts": 1, "retries": 0, "total_seconds": 12.9697}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 87, "image": "IMG_20220316_165535_jpg.rf.b4968ac9965090df369ee94c30225977.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [38, 538, 382, 796], \"label\": \"jack of diamonds\"},\n {\"box_2d\": [106, 307, 474, 591], \"label\": \"nine of diamonds\"},\n {\"box_2d\": [381, 176, 709, 479], \"label\": \"king of diamonds\"},\n {\"box_2d\": [419, 472, 820, 727], \"label\": \"queen of diamonds\"},\n {\"box_2d\": [631, 108, 974, 427], \"label\": \"ten of diamonds\"}\n]\n```", "correct": true, "input_tokens": 1218, "output_tokens": 603, "elapsed_seconds": 7.613915583002381, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 7.6457}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 88, "image": "F64FE944-4E23-4E33-ABE4-44B45EEE879E_jpg.rf.4a9fc6077618a5882fd446c7da6c295e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [176, 162, 281, 240], \"label\": \"pill\"},\n {\"box_2d\": [185, 236, 290, 315], \"label\": \"pill\"},\n {\"box_2d\": [138, 296, 247, 353], \"label\": \"pill\"},\n {\"box_2d\": [286, 152, 393, 209], \"label\": \"pill\"},\n {\"box_2d\": [276, 207, 383, 270], \"label\": \"pill\"},\n {\"box_2d\": [243, 326, 323, 428], \"label\": \"pill\"},\n {\"box_2d\": [288, 289, 381, 384], \"label\": \"pill\"},\n {\"box_2d\": [182, 389, 286, 474], \"label\": \"pill\"},\n {\"box_2d\": [168, 523, 277, 597], \"label\": \"pill\"},\n {\"box_2d\": [258, 487, 369, 548], \"label\": \"pill\"},\n {\"box_2d\": [285, 417, 390, 491], \"label\": \"pill\"},\n {\"box_2d\": [378, 187, 483, 251], \"label\": \"pill\"},\n {\"box_2d\": [349, 241, 446, 324], \"label\": \"pill\"},\n {\"box_2d\": [387, 275, 480, 363], \"label\": \"pill\"},\n {\"box_2d\": [359, 369, 459, 451], \"label\": \"pill\"},\n {\"box_2d\": [432, 127, 521, 222], \"label\": \"pill\"},\n {\"box_2d\": [513, 128, 590, 229], \"label\": \"pill\"},\n {\"box_2d\": [477, 256, 581, 315], \"label\": \"pill\"},\n {\"box_2d\": [476, 311, 581, 370], \"label\": \"pill\"},\n {\"box_2d\": [455, 375, 550, 461], \"label\": \"pill\"},\n {\"box_2d\": [355, 559, 463, 620], \"label\": \"pill\"},\n {\"box_2d\": [362, 621, 470, 681], \"label\": \"pill\"},\n {\"box_2d\": [300, 692, 387, 795], \"label\": \"pill\"},\n {\"box_2d\": [370, 840, 478, 900], \"label\": \"pill\"},\n {\"box_2d\": [430, 667, 517, 767], \"label\": \"pill\"},\n {\"box_2d\": [445, 504, 515, 608], \"label\": \"pill\"},\n {\"box_2d\": [486, 467, 554, 571], \"label\": \"pill\"},\n {\"box_2d\": [506, 634, 613, 697], \"label\": \"pill\"},\n {\"box_2d\": [555, 696, 612, 806], \"label\": \"pill\"},\n {\"box_2d\": [531, 521, 616, 618], \"label\": \"pill\"},\n {\"box_2d\": [549, 391, 611, 495], \"label\": \"pill\"},\n {\"box_2d\": [588, 179, 672, 276], \"label\": \"pill\"},\n {\"box_2d\": [590, 289, 643, 396], \"label\": \"pill\"},\n {\"box_2d\": [638, 270, 675, 379], \"label\": \"pill\"},\n {\"box_2d\": [682, 162, 779, 244], \"label\": \"pill\"},\n {\"box_2d\": [734, 94, 797, 198], \"label\": \"pill\"},\n {\"box_2d\": [680, 216, 745, 321], \"label\": \"pill\"},\n {\"box_2d\": [723, 298, 787, 404], \"label\": \"pill\"},\n {\"box_2d\": [662, 357, 748, 454], \"label\": \"pill\"},\n {\"box_2d\": [597, 458, 675, 559], \"label\": \"pill\"},\n {\"box_2d\": [629, 423, 717, 518], \"label\": \"pill\"},\n {\"box_2d\": [624, 535, 720, 621], \"label\": \"pill\"},\n {\"box_2d\": [576, 591, 669, 682], \"label\": \"pill\"},\n {\"box_2d\": [782, 412, 837, 518], \"label\": \"pill\"},\n {\"box_2d\": [722, 466, 807, 563], \"label\": \"pill\"},\n {\"box_2d\": [717, 543, 808, 636], \"label\": \"pill\"},\n {\"box_2d\": [695, 631, 792, 721], \"label\": \"pill\"},\n {\"box_2d\": [692, 693, 782, 789], \"label\": \"pill\"},\n {\"box_2d\": [680, 755, 734, 865], \"label\": \"pill\"},\n {\"box_2d\": [797, 737, 892, 830], \"label\": \"pill\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 4470, "elapsed_seconds": 39.204498125007376, "metadata": {"match_method": "map", "num_predictions": 50, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 39.5964}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 89, "image": "20210326_152417_jpg.rf.49d888684dcb029777f91a35c5731fda.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [200, 127, 396, 323], \"label\": \"10 euro cent coin\"},\n {\"box_2d\": [103, 369, 326, 591], \"label\": \"20 euro cent coin\"},\n {\"box_2d\": [203, 645, 446, 891], \"label\": \"50 euro cent coin\"},\n {\"box_2d\": [420, 77, 626, 291], \"label\": \"5 euro cent coin\"},\n {\"box_2d\": [378, 395, 610, 628], \"label\": \"1 euro coin\"},\n {\"box_2d\": [514, 678, 673, 839], \"label\": \"1 euro cent coin\"},\n {\"box_2d\": [653, 236, 902, 489], \"label\": \"2 euro coin\"},\n {\"box_2d\": [722, 577, 905, 761], \"label\": \"2 euro cent coin\"}\n]\n```", "correct": true, "input_tokens": 1272, "output_tokens": 916, "elapsed_seconds": 9.008672166033648, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 9.0269}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 90, "image": "egg-detection_image33_jpg.rf.842de73d6f921d804acd1ea8a1f28413.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [467, 427, 553, 492], \"label\": \"egg\"},\n {\"box_2d\": [746, 693, 825, 753], \"label\": \"egg\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 277, "elapsed_seconds": 5.725694042048417, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 5.8287}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 91, "image": "uav20221018_ixfZ_3857_215_png.rf.8020e1329eefd7e68bf3f7c0394e8bdf.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [11, 686, 61, 728], \"label\": \"banana tree\"},\n {\"box_2d\": [88, 691, 134, 731], \"label\": \"banana tree\"},\n {\"box_2d\": [164, 695, 212, 742], \"label\": \"banana tree\"},\n {\"box_2d\": [234, 691, 281, 735], \"label\": \"banana tree\"},\n {\"box_2d\": [301, 695, 347, 745], \"label\": \"banana tree\"},\n {\"box_2d\": [372, 703, 415, 741], \"label\": \"banana tree\"},\n {\"box_2d\": [525, 717, 565, 750], \"label\": \"banana tree\"},\n {\"box_2d\": [662, 721, 701, 752], \"label\": \"banana tree\"},\n {\"box_2d\": [732, 722, 768, 755], \"label\": \"banana tree\"},\n {\"box_2d\": [795, 721, 840, 767], \"label\": \"banana tree\"},\n {\"box_2d\": [872, 726, 920, 767], \"label\": \"banana tree\"},\n {\"box_2d\": [935, 731, 976, 768], \"label\": \"banana tree\"},\n {\"box_2d\": [55, 743, 98, 789], \"label\": \"banana tree\"},\n {\"box_2d\": [120, 747, 173, 788], \"label\": \"banana tree\"},\n {\"box_2d\": [195, 748, 240, 790], \"label\": \"banana tree\"},\n {\"box_2d\": [264, 754, 312, 791], \"label\": \"banana tree\"},\n {\"box_2d\": [341, 763, 381, 797], \"label\": \"banana tree\"},\n {\"box_2d\": [403, 761, 449, 804], \"label\": \"banana tree\"},\n {\"box_2d\": [485, 770, 526, 802], \"label\": \"banana tree\"},\n {\"box_2d\": [551, 772, 594, 809], \"label\": \"banana tree\"},\n {\"box_2d\": [621, 769, 661, 807], \"label\": \"banana tree\"},\n {\"box_2d\": [689, 777, 737, 813], \"label\": \"banana tree\"},\n {\"box_2d\": [766, 780, 803, 812], \"label\": \"banana tree\"},\n {\"box_2d\": [839, 777, 871, 809], \"label\": \"banana tree\"},\n {\"box_2d\": [907, 786, 945, 821], \"label\": \"banana tree\"},\n {\"box_2d\": [47, 941, 102, 994], \"label\": \"banana tree\"},\n {\"box_2d\": [116, 947, 170, 997], \"label\": \"banana tree\"},\n {\"box_2d\": [185, 948, 232, 991], \"label\": \"banana tree\"},\n {\"box_2d\": [251, 946, 297, 994], \"label\": \"banana tree\"},\n {\"box_2d\": [320, 949, 370, 998], \"label\": \"banana tree\"},\n {\"box_2d\": [452, 956, 504, 999], \"label\": \"banana tree\"},\n {\"box_2d\": [594, 954, 645, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [667, 966, 709, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [733, 967, 776, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [802, 972, 841, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [873, 974, 916, 1000], \"label\": \"banana tree\"}\n]\n```", "correct": false, "input_tokens": 1226, "output_tokens": 5941, "elapsed_seconds": 47.62662837503012, "metadata": {"match_method": "map", "num_predictions": 36, "num_ground_truth": 41, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.71677166223526, "attempts": 1, "retries": 0, "total_seconds": 47.6944}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 92, "image": "DJI_0151_JPG_jpg.rf.3936c799be65e9829061aeb413261c06.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [481, 342, 680, 406], \"label\": \"excavator\"},\n {\"box_2d\": [160, 336, 211, 391], \"label\": \"dump truck\"},\n {\"box_2d\": [158, 433, 212, 487], \"label\": \"concrete mixer\"},\n {\"box_2d\": [126, 61, 172, 128], \"label\": \"concrete mixer\"},\n {\"box_2d\": [0, 631, 495, 709], \"label\": \"tower crane\"}\n]\n```", "correct": true, "input_tokens": 1245, "output_tokens": 966, "elapsed_seconds": 16.404953583027236, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 16.7576}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 93, "image": "55_jpeg_jpg.rf.004155dfb8cf69dfe8eec1fad7b643e0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [64, 320, 185, 434], \"label\": \"potato\"},\n {\"box_2d\": [62, 911, 179, 999], \"label\": \"potato\"},\n {\"box_2d\": [245, 804, 386, 910], \"label\": \"potato\"},\n {\"box_2d\": [476, 519, 619, 636], \"label\": \"potato\"},\n {\"box_2d\": [476, 646, 581, 749], \"label\": \"potato\"},\n {\"box_2d\": [478, 808, 575, 910], \"label\": \"potato\"},\n {\"box_2d\": [454, 960, 551, 999], \"label\": \"potato\"},\n {\"box_2d\": [711, 0, 798, 99], \"label\": \"potato\"},\n {\"box_2d\": [691, 350, 847, 434], \"label\": \"potato\"},\n {\"box_2d\": [703, 584, 800, 680], \"label\": \"potato\"},\n {\"box_2d\": [678, 841, 781, 920], \"label\": \"potato\"},\n {\"box_2d\": [901, 367, 990, 458], \"label\": \"potato\"},\n {\"box_2d\": [882, 616, 984, 718], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1240, "output_tokens": 1585, "elapsed_seconds": 16.282976416987367, "metadata": {"match_method": "map", "num_predictions": 13, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8118811845779419, "attempts": 1, "retries": 0, "total_seconds": 16.3174}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 94, "image": "2024-12-05T02-01-39-892Z-3009_jpg.rf.22fd37099b783ab1f80e4172f8bb073a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [555, 310, 675, 413], \"label\": \"retaining clip\"},\n {\"box_2d\": [461, 494, 595, 583], \"label\": \"retaining clip\"},\n {\"box_2d\": [375, 680, 486, 766], \"label\": \"retaining clip\"},\n {\"box_2d\": [647, 635, 780, 738], \"label\": \"retaining clip\"}\n]\n```", "correct": true, "input_tokens": 1201, "output_tokens": 714, "elapsed_seconds": 14.565018916968256, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 14.7599}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 95, "image": "IMG_20251126_160341_jpg.rf.90a2111f9611ba9b2da6fb1312d0ef72.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [692, 108, 795, 179], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [692, 206, 789, 276], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [684, 297, 782, 368], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [682, 386, 777, 456], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [649, 491, 938, 563], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [663, 588, 761, 661], \"label\": \"white standard price tag\"},\n {\"box_2d\": [663, 700, 759, 772], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [656, 830, 749, 904], \"label\": \"white standard price tag\"},\n {\"box_2d\": [652, 922, 748, 995], \"label\": \"yellow standard price tag\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 1578, "elapsed_seconds": 18.173123041982763, "metadata": {"match_method": "map", "num_predictions": 9, "num_ground_truth": 10, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8349834680557251, "attempts": 1, "retries": 0, "total_seconds": 18.4264}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 96, "image": "tile_267_jpg.rf.d3e282883cf21b5fa393f473090fd4b9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [44, 319, 281, 502], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [295, 513, 540, 703], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [606, 445, 816, 689], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [822, 156, 1000, 404], \"label\": \"ship in SAR satellite image\"}\n]\n```", "correct": true, "input_tokens": 1229, "output_tokens": 1752, "elapsed_seconds": 22.569209541077726, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 22.5913}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 97, "image": "IMG_20250815_165441_jpg.rf.4c737e973da64b017b0e386f2b455f62.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [194, 629, 234, 672], \"label\": \"barcode\"},\n {\"box_2d\": [210, 180, 310, 232], \"label\": \"barcode\"},\n {\"box_2d\": [216, 443, 313, 491], \"label\": \"barcode\"},\n {\"box_2d\": [680, 65, 720, 117], \"label\": \"barcode\"},\n {\"box_2d\": [826, 256, 866, 303], \"label\": \"barcode\"},\n {\"box_2d\": [740, 551, 826, 595], \"label\": \"barcode\"},\n {\"box_2d\": [769, 706, 852, 746], \"label\": \"barcode\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 868, "elapsed_seconds": 11.582068166928366, "metadata": {"match_method": "map", "num_predictions": 7, "num_ground_truth": 7, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 11.8601}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 98, "image": "Lego_63_low_jpeg.rf.6dd24c9abacc96bac5fb5a7d9ce3f907.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [46, 198, 134, 294], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [201, 14, 307, 106], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [182, 104, 269, 189], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [99, 427, 206, 530], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [213, 353, 281, 453], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [279, 316, 339, 405], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [395, 317, 466, 429], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [498, 372, 594, 431], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [581, 253, 663, 330], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [585, 323, 668, 411], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [622, 43, 724, 141], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [764, 86, 854, 179], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [828, 267, 905, 365], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [672, 414, 765, 510], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [776, 422, 860, 532], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [293, 579, 396, 651], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [470, 537, 571, 610], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [606, 581, 706, 662], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [711, 588, 750, 682], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [670, 673, 749, 733], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [713, 731, 795, 808], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [679, 778, 728, 873], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [745, 790, 845, 886], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [605, 907, 697, 998], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [671, 964, 750, 1000], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [447, 725, 519, 777], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [413, 789, 491, 855], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [458, 835, 533, 916], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [59, 670, 152, 777], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [28, 752, 130, 822], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [166, 672, 264, 712], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [172, 710, 249, 761], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [222, 797, 308, 875], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [203, 864, 300, 938], \"label\": \"lego 4x1 brick\"}\n]\n```", "correct": true, "input_tokens": 1244, "output_tokens": 4233, "elapsed_seconds": 30.44637766701635, "metadata": {"match_method": "map", "num_predictions": 34, "num_ground_truth": 34, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9003900289535522, "attempts": 1, "retries": 0, "total_seconds": 30.5044}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 99, "image": "frame_0085_jpg.rf.df2f77641da4fa475877d40e14103949.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [41, 137, 108, 181], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [140, 112, 206, 155], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [258, 129, 329, 175], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [376, 106, 444, 157], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [464, 106, 535, 156], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [589, 82, 672, 136], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [799, 77, 886, 132], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [23, 246, 76, 289], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [133, 229, 198, 268], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [270, 228, 343, 271], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [417, 234, 488, 280], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [678, 228, 766, 273], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [885, 211, 964, 258], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [48, 340, 111, 377], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [159, 344, 222, 381], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [315, 353, 378, 391], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [436, 356, 501, 394], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [529, 338, 597, 386], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [703, 346, 788, 390], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [847, 339, 932, 388], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [231, 427, 307, 469], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [422, 468, 485, 505], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [645, 482, 725, 522], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [864, 472, 920, 516], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [340, 551, 403, 587], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [778, 575, 850, 617], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [181, 608, 236, 642], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [368, 675, 434, 710], \"label\": \"garlic on conveyor\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 2788, "elapsed_seconds": 24.11440225003753, "metadata": {"match_method": "map", "num_predictions": 28, "num_ground_truth": 28, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 24.2277}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 100, "image": "basketball-player-detection_boston-celtics-new-york-knicks-game-4-q1-00-05-00-01-0115_png.rf.268163bdbdd382dbeaa9df9d19cf50ae.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [700, 166, 959, 236], \"label\": \"player\"},\n {\"box_2d\": [769, 180, 796, 194], \"label\": \"jersey number\"},\n {\"box_2d\": [542, 361, 760, 405], \"label\": \"player\"},\n {\"box_2d\": [725, 295, 880, 329], \"label\": \"referee\"},\n {\"box_2d\": [304, 150, 513, 196], \"label\": \"player\"},\n {\"box_2d\": [356, 165, 374, 177], \"label\": \"jersey number\"},\n {\"box_2d\": [319, 105, 456, 161], \"label\": \"player\"},\n {\"box_2d\": [285, 341, 454, 378], \"label\": \"referee\"},\n {\"box_2d\": [317, 521, 488, 567], \"label\": \"player\"},\n {\"box_2d\": [368, 535, 386, 543], \"label\": \"jersey number\"},\n {\"box_2d\": [341, 543, 533, 610], \"label\": \"player\"},\n {\"box_2d\": [382, 564, 404, 577], \"label\": \"jersey number\"},\n {\"box_2d\": [450, 733, 667, 777], \"label\": \"player\"},\n {\"box_2d\": [504, 745, 524, 758], \"label\": \"jersey number\"},\n {\"box_2d\": [457, 711, 643, 756], \"label\": \"player\"},\n {\"box_2d\": [568, 749, 787, 809], \"label\": \"player\"},\n {\"box_2d\": [609, 811, 844, 874], \"label\": \"player\"},\n {\"box_2d\": [670, 848, 694, 860], \"label\": \"jersey number\"},\n {\"box_2d\": [295, 712, 325, 752], \"label\": \"basket rim\"}\n]\n```", "correct": false, "input_tokens": 1250, "output_tokens": 2378, "elapsed_seconds": 26.028853875002824, "metadata": {"match_method": "map", "num_predictions": 19, "num_ground_truth": 25, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3605610430240631, "attempts": 1, "retries": 0, "total_seconds": 26.1205}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 101, "image": "construction-safety_ppe_0720_jpg.rf.cfd070890ac09790250bebd1b430d69f.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [237, 0, 993, 86], \"label\": \"person\"},\n {\"box_2d\": [237, 11, 297, 58], \"label\": \"safety helmet\"},\n {\"box_2d\": [354, 1, 631, 79], \"label\": \"safety vest\"},\n {\"box_2d\": [288, 75, 985, 179], \"label\": \"person\"},\n {\"box_2d\": [288, 93, 353, 141], \"label\": \"safety helmet\"},\n {\"box_2d\": [403, 83, 661, 166], \"label\": \"safety vest\"},\n {\"box_2d\": [206, 159, 983, 276], \"label\": \"person\"},\n {\"box_2d\": [206, 182, 271, 230], \"label\": \"safety helmet\"},\n {\"box_2d\": [318, 165, 597, 253], \"label\": \"safety vest\"},\n {\"box_2d\": [265, 240, 976, 323], \"label\": \"person\"},\n {\"box_2d\": [265, 259, 338, 305], \"label\": \"safety helmet\"},\n {\"box_2d\": [381, 247, 613, 315], \"label\": \"safety vest\"},\n {\"box_2d\": [191, 292, 991, 405], \"label\": \"person\"},\n {\"box_2d\": [187, 327, 254, 376], \"label\": \"safety helmet\"},\n {\"box_2d\": [319, 307, 585, 402], \"label\": \"safety vest\"},\n {\"box_2d\": [208, 396, 978, 494], \"label\": \"person\"},\n {\"box_2d\": [208, 419, 273, 466], \"label\": \"safety helmet\"},\n {\"box_2d\": [318, 402, 591, 488], \"label\": \"safety vest\"},\n {\"box_2d\": [212, 479, 966, 573], \"label\": \"person\"},\n {\"box_2d\": [208, 492, 273, 540], \"label\": \"safety helmet\"},\n {\"box_2d\": [322, 484, 577, 567], \"label\": \"safety vest\"},\n {\"box_2d\": [243, 562, 982, 667], \"label\": \"person\"},\n {\"box_2d\": [243, 576, 305, 624], \"label\": \"safety helmet\"},\n {\"box_2d\": [356, 569, 598, 650], \"label\": \"safety vest\"},\n {\"box_2d\": [197, 654, 991, 756], \"label\": \"person\"},\n {\"box_2d\": [193, 677, 263, 728], \"label\": \"safety helmet\"},\n {\"box_2d\": [325, 661, 602, 748], \"label\": \"safety vest\"},\n {\"box_2d\": [118, 729, 991, 848], \"label\": \"person\"},\n {\"box_2d\": [118, 745, 200, 804], \"label\": \"safety helmet\"},\n {\"box_2d\": [249, 744, 549, 836], \"label\": \"safety vest\"},\n {\"box_2d\": [151, 805, 950, 861], \"label\": \"person\"},\n {\"box_2d\": [151, 808, 224, 854], \"label\": \"safety helmet\"},\n {\"box_2d\": [182, 822, 987, 905], \"label\": \"person\"},\n {\"box_2d\": [180, 838, 261, 898], \"label\": \"safety helmet\"},\n {\"box_2d\": [313, 826, 637, 902], \"label\": \"safety vest\"},\n {\"box_2d\": [137, 868, 994, 998], \"label\": \"person\"},\n {\"box_2d\": [139, 900, 232, 980], \"label\": \"safety helmet\"},\n {\"box_2d\": [304, 885, 666, 998], \"label\": \"safety vest\"}\n]\n```", "correct": true, "input_tokens": 1198, "output_tokens": 3566, "elapsed_seconds": 28.126787042012438, "metadata": {"match_method": "map", "num_predictions": 38, "num_ground_truth": 38, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9695354104042053, "attempts": 1, "retries": 0, "total_seconds": 28.1583}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 102, "image": "fabric-defect_1213_jpg.rf.f4cb351d5d6f226d23075b9a6a549416.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [469, 726, 591, 778], \"label\": \"fabric cut\"},\n {\"box_2d\": [577, 411, 617, 445], \"label\": \"fabric cut\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 457, "elapsed_seconds": 6.576530082966201, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 6.5862}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 103, "image": "indir-2-_jpeg_jpg.rf.cabde9f9d89b7527f52820f6df64e1b7.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [363, 248, 381, 583], \"label\": \"dimension annotation\"},\n {\"box_2d\": [416, 90, 524, 210], \"label\": \"dimension annotation\"},\n {\"box_2d\": [434, 303, 517, 450], \"label\": \"dimension annotation\"},\n {\"box_2d\": [423, 655, 575, 681], \"label\": \"dimension annotation\"},\n {\"box_2d\": [500, 69, 575, 182], \"label\": \"dimension annotation\"},\n {\"box_2d\": [615, 181, 633, 289], \"label\": \"dimension annotation\"},\n {\"box_2d\": [615, 415, 633, 516], \"label\": \"dimension annotation\"},\n {\"box_2d\": [615, 515, 633, 583], \"label\": \"dimension annotation\"},\n {\"box_2d\": [619, 754, 641, 890], \"label\": \"dimension annotation\"},\n {\"box_2d\": [678, 55, 707, 81], \"label\": \"dimension annotation\"},\n {\"box_2d\": [706, 55, 845, 81], \"label\": \"dimension annotation\"},\n {\"box_2d\": [759, 233, 777, 344], \"label\": \"dimension annotation\"},\n {\"box_2d\": [753, 662, 803, 751], \"label\": \"dimension annotation\"},\n {\"box_2d\": [814, 622, 845, 648], \"label\": \"dimension annotation\"},\n {\"box_2d\": [914, 207, 985, 976], \"label\": \"technical drawing table\"}\n]\n```", "correct": false, "input_tokens": 1233, "output_tokens": 3172, "elapsed_seconds": 33.17491841700394, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5030463933944702, "attempts": 1, "retries": 0, "total_seconds": 33.1844}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 104, "image": "wood-log-detection_019_png_jpg.rf.0c10ed1caffd0ca9926a3f2f5de3a24a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [149, 55, 216, 145], \"label\": \"log cross-section\"},\n {\"box_2d\": [165, 285, 214, 347], \"label\": \"log cross-section\"},\n {\"box_2d\": [168, 403, 208, 455], \"label\": \"log cross-section\"},\n {\"box_2d\": [165, 497, 232, 580], \"label\": \"log cross-section\"},\n {\"box_2d\": [202, 162, 265, 254], \"label\": \"log cross-section\"},\n {\"box_2d\": [221, 99, 271, 162], \"label\": \"log cross-section\"},\n {\"box_2d\": [212, 326, 290, 421], \"label\": \"log cross-section\"},\n {\"box_2d\": [234, 419, 328, 553], \"label\": \"log cross-section\"},\n {\"box_2d\": [227, 544, 298, 635], \"label\": \"log cross-section\"},\n {\"box_2d\": [225, 669, 272, 732], \"label\": \"log cross-section\"},\n {\"box_2d\": [222, 732, 279, 804], \"label\": \"log cross-section\"},\n {\"box_2d\": [212, 805, 296, 895], \"label\": \"log cross-section\"},\n {\"box_2d\": [264, 54, 314, 121], \"label\": \"log cross-section\"},\n {\"box_2d\": [314, 68, 363, 135], \"label\": \"log cross-section\"},\n {\"box_2d\": [332, 132, 370, 180], \"label\": \"log cross-section\"},\n {\"box_2d\": [288, 199, 369, 306], \"label\": \"log cross-section\"},\n {\"box_2d\": [347, 240, 404, 318], \"label\": \"log cross-section\"},\n {\"box_2d\": [321, 321, 400, 432], \"label\": \"log cross-section\"},\n {\"box_2d\": [354, 425, 401, 493], \"label\": \"log cross-section\"},\n {\"box_2d\": [396, 427, 432, 481], \"label\": \"log cross-section\"},\n {\"box_2d\": [302, 535, 373, 622], \"label\": \"log cross-section\"},\n {\"box_2d\": [271, 655, 338, 739], \"label\": \"log cross-section\"},\n {\"box_2d\": [277, 747, 315, 795], \"label\": \"log cross-section\"},\n {\"box_2d\": [301, 775, 359, 848], \"label\": \"log cross-section\"},\n {\"box_2d\": [371, 499, 442, 588], \"label\": \"log cross-section\"},\n {\"box_2d\": [351, 602, 431, 703], \"label\": \"log cross-section\"},\n {\"box_2d\": [323, 701, 388, 788], \"label\": \"log cross-section\"},\n {\"box_2d\": [366, 801, 406, 854], \"label\": \"log cross-section\"},\n {\"box_2d\": [404, 898, 444, 947], \"label\": \"log cross-section\"},\n {\"box_2d\": [392, 92, 449, 170], \"label\": \"log cross-section\"},\n {\"box_2d\": [454, 88, 495, 145], \"label\": \"log cross-section\"},\n {\"box_2d\": [436, 151, 530, 274], \"label\": \"log cross-section\"},\n {\"box_2d\": [424, 271, 472, 335], \"label\": \"log cross-section\"},\n {\"box_2d\": [482, 268, 522, 323], \"label\": \"log cross-section\"},\n {\"box_2d\": [458, 354, 527, 442], \"label\": \"log cross-section\"},\n {\"box_2d\": [428, 413, 468, 467], \"label\": \"log cross-section\"},\n {\"box_2d\": [454, 450, 516, 537], \"label\": \"log cross-section\"},\n {\"box_2d\": [463, 548, 521, 622], \"label\": \"log cross-section\"},\n {\"box_2d\": [435, 622, 487, 690], \"label\": \"log cross-section\"},\n {\"box_2d\": [478, 673, 517, 724], \"label\": \"log cross-section\"},\n {\"box_2d\": [455, 720, 512, 793], \"label\": \"log cross-section\"},\n {\"box_2d\": [439, 788, 473, 832], \"label\": \"log cross-section\"},\n {\"box_2d\": [468, 833, 502, 874], \"label\": \"log cross-section\"},\n {\"box_2d\": [503, 855, 537, 896], \"label\": \"log cross-section\"},\n {\"box_2d\": [495, 71, 559, 153], \"label\": \"log cross-section\"},\n {\"box_2d\": [530, 161, 562, 205], \"label\": \"log cross-section\"},\n {\"box_2d\": [514, 212, 584, 306], \"label\": \"log cross-section\"},\n {\"box_2d\": [505, 307, 567, 385], \"label\": \"log cross-section\"},\n {\"box_2d\": [509, 485, 580, 577], \"label\": \"log cross-section\"},\n {\"box_2d\": [513, 638, 555, 686], \"label\": \"log cross-section\"},\n {\"box_2d\": [510, 715, 557, 774], \"label\": \"log cross-section\"},\n {\"box_2d\": [511, 773, 555, 821], \"label\": \"log cross-section\"},\n {\"box_2d\": [523, 826, 553, 863], \"label\": \"log cross-section\"},\n {\"box_2d\": [560, 78, 615, 153], \"label\": \"log cross-section\"},\n {\"box_2d\": [560, 168, 603, 223], \"label\": \"log cross-section\"},\n {\"box_2d\": [567, 570, 607, 615], \"label\": \"log cross-section\"},\n {\"box_2d\": [546, 609, 598, 677], \"label\": \"log cross-section\"},\n {\"box_2d\": [556, 691, 615, 772], \"label\": \"log cross-section\"},\n {\"box_2d\": [558, 782, 604, 844], \"label\": \"log cross-section\"},\n {\"box_2d\": [582, 842, 617, 885], \"label\": \"log cross-section\"},\n {\"box_2d\": [600, 170, 638, 223], \"label\": \"log cross-section\"},\n {\"box_2d\": [592, 224, 647, 291], \"label\": \"log cross-section\"},\n {\"box_2d\": [576, 390, 625, 476], \"label\": \"log cross-section\"},\n {\"box_2d\": [576, 486, 625, 573], \"label\": \"log cross-section\"},\n {\"box_2d\": [625, 66, 720, 197], \"label\": \"log cross-section\"},\n {\"box_2d\": [638, 202, 722, 322], \"label\": \"log cross-section\"},\n {\"box_2d\": [691, 298, 724, 339], \"label\": \"log cross-section\"},\n {\"box_2d\": [618, 323, 725, 453], \"label\": \"log cross-section\"},\n {\"box_2d\": [631, 466, 670, 513], \"label\": \"log cross-section\"},\n {\"box_2d\": [623, 514, 673, 584], \"label\": \"log cross-section\"},\n {\"box_2d\": [610, 576, 639, 622], \"label\": \"log cross-section\"},\n {\"box_2d\": [633, 583, 676, 642], \"label\": \"log cross-section\"},\n {\"box_2d\": [613, 672, 660, 730], \"label\": \"log cross-section\"},\n {\"box_2d\": [614, 731, 666, 797], \"label\": \"log cross-section\"},\n {\"box_2d\": [625, 830, 673, 888], \"label\": \"log cross-section\"},\n {\"box_2d\": [673, 466, 740, 554], \"label\": \"log cross-section\"},\n {\"box_2d\": [706, 592, 747, 640], \"label\": \"log cross-section\"},\n {\"box_2d\": [702, 639, 746, 688], \"label\": \"log cross-section\"},\n {\"box_2d\": [688, 720, 720, 759], \"label\": \"log cross-section\"},\n {\"box_2d\": [713, 790, 749, 833], \"label\": \"log cross-section\"},\n {\"box_2d\": [688, 834, 721, 882], \"label\": \"log cross-section\"}\n]\n```", "correct": true, "input_tokens": 1228, "output_tokens": 5401, "elapsed_seconds": 42.312407582998276, "metadata": {"match_method": "map", "num_predictions": 81, "num_ground_truth": 91, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8910890817642212, "attempts": 2, "retries": 1, "total_seconds": 104.5011, "transient_errors": ["RemoteProtocolError"]}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 105, "image": "170571v_JPG_jpg.rf.044f16a58ffbf60b2d7a3d41cd3a4fdf.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [442, 461, 1000, 690], \"label\": \"cracked insulator\"}\n]\n```", "correct": false, "input_tokens": 1244, "output_tokens": 2101, "elapsed_seconds": 35.043108500074595, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 35.3975}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 106, "image": "IMG_20260128_081412_jpg.rf.4a044ae2d306c8ba7e741477be920225.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [31, 0, 128, 46], \"label\": \"white standard price tag\"},\n {\"box_2d\": [33, 69, 132, 134], \"label\": \"white standard price tag\"},\n {\"box_2d\": [35, 146, 133, 212], \"label\": \"white standard price tag\"},\n {\"box_2d\": [42, 240, 136, 304], \"label\": \"white standard price tag\"},\n {\"box_2d\": [46, 336, 139, 401], \"label\": \"white standard price tag\"},\n {\"box_2d\": [46, 419, 139, 484], \"label\": \"white standard price tag\"},\n {\"box_2d\": [65, 529, 153, 591], \"label\": \"white standard price tag\"},\n {\"box_2d\": [65, 670, 153, 732], \"label\": \"white standard price tag\"},\n {\"box_2d\": [76, 769, 165, 832], \"label\": \"white standard price tag\"},\n {\"box_2d\": [83, 849, 168, 910], \"label\": \"white standard price tag\"},\n {\"box_2d\": [77, 926, 165, 989], \"label\": \"white standard price tag\"},\n {\"box_2d\": [654, 48, 742, 111], \"label\": \"white standard price tag\"},\n {\"box_2d\": [678, 220, 767, 279], \"label\": \"white standard price tag\"},\n {\"box_2d\": [686, 328, 771, 386], \"label\": \"white standard price tag\"},\n {\"box_2d\": [668, 419, 924, 486], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [672, 562, 929, 626], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [692, 646, 780, 704], \"label\": \"white standard price tag\"},\n {\"box_2d\": [695, 725, 780, 784], \"label\": \"white standard price tag\"},\n {\"box_2d\": [700, 821, 787, 880], \"label\": \"white standard price tag\"},\n {\"box_2d\": [705, 895, 791, 954], \"label\": \"white standard price tag\"},\n {\"box_2d\": [693, 944, 944, 1000], \"label\": \"yellow large price tag\"}\n]\n```", "correct": true, "input_tokens": 1222, "output_tokens": 2337, "elapsed_seconds": 26.61713145801332, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 21, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 26.9378}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 107, "image": "IMG_20220316_163220_jpg.rf.07e174636631b0be143879d240f8f468.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [289, 80, 756, 378], \"label\": \"three of diamonds\"},\n {\"box_2d\": [406, 80, 922, 405], \"label\": \"ace of diamonds\"},\n {\"box_2d\": [401, 396, 869, 731], \"label\": \"two of diamonds\"},\n {\"box_2d\": [156, 452, 637, 811], \"label\": \"four of diamonds\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 553, "elapsed_seconds": 9.360806667013094, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 9.3898}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 108, "image": "2e57b9_3_10_png_jpg.rf.93746b4a960366b1a012ad339a5d68e1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [472, 137, 513, 148], \"label\": \"goalkeeper\"},\n {\"box_2d\": [504, 143, 513, 149], \"label\": \"football\"},\n {\"box_2d\": [576, 57, 626, 70], \"label\": \"player\"},\n {\"box_2d\": [748, 159, 811, 181], \"label\": \"player\"},\n {\"box_2d\": [579, 235, 628, 248], \"label\": \"player\"},\n {\"box_2d\": [478, 211, 519, 224], \"label\": \"player\"},\n {\"box_2d\": [456, 216, 493, 229], \"label\": \"player\"},\n {\"box_2d\": [499, 283, 543, 296], \"label\": \"player\"},\n {\"box_2d\": [421, 263, 460, 272], \"label\": \"player\"},\n {\"box_2d\": [587, 349, 640, 360], \"label\": \"player\"},\n {\"box_2d\": [413, 389, 450, 398], \"label\": \"player\"},\n {\"box_2d\": [378, 390, 412, 397], \"label\": \"player\"},\n {\"box_2d\": [445, 456, 486, 465], \"label\": \"player\"},\n {\"box_2d\": [493, 479, 535, 490], \"label\": \"referee\"},\n {\"box_2d\": [470, 500, 512, 509], \"label\": \"player\"},\n {\"box_2d\": [542, 463, 591, 476], \"label\": \"player\"},\n {\"box_2d\": [542, 494, 591, 505], \"label\": \"player\"},\n {\"box_2d\": [583, 437, 635, 447], \"label\": \"player\"},\n {\"box_2d\": [690, 486, 749, 498], \"label\": \"player\"},\n {\"box_2d\": [403, 629, 441, 638], \"label\": \"player\"},\n {\"box_2d\": [404, 658, 442, 666], \"label\": \"player\"},\n {\"box_2d\": [450, 675, 492, 685], \"label\": \"player\"},\n {\"box_2d\": [532, 693, 581, 705], \"label\": \"player\"},\n {\"box_2d\": [908, 745, 987, 772], \"label\": \"referee\"}\n]\n```", "correct": false, "input_tokens": 1242, "output_tokens": 2767, "elapsed_seconds": 24.670438666944392, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6534653306007385, "attempts": 1, "retries": 0, "total_seconds": 24.7585}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 109, "image": "img283_png.rf.c0609f1f38390a89165e7c735d693ab6.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [28, 540, 97, 624], \"label\": \"and gate symbol\"},\n {\"box_2d\": [75, 365, 144, 450], \"label\": \"and gate symbol\"},\n {\"box_2d\": [122, 540, 191, 624], \"label\": \"and gate symbol\"},\n {\"box_2d\": [169, 756, 239, 840], \"label\": \"or gate symbol\"},\n {\"box_2d\": [217, 540, 286, 624], \"label\": \"and gate symbol\"},\n {\"box_2d\": [249, 365, 318, 450], \"label\": \"and gate symbol\"},\n {\"box_2d\": [328, 540, 397, 624], \"label\": \"and gate symbol\"},\n {\"box_2d\": [344, 37, 390, 79], \"label\": \"not gate symbol\"},\n {\"box_2d\": [344, 91, 390, 134], \"label\": \"not gate symbol\"},\n {\"box_2d\": [391, 392, 460, 477], \"label\": \"and gate symbol\"},\n {\"box_2d\": [439, 540, 508, 624], \"label\": \"or gate symbol\"},\n {\"box_2d\": [486, 392, 555, 477], \"label\": \"and gate symbol\"},\n {\"box_2d\": [533, 701, 603, 786], \"label\": \"and gate symbol\"},\n {\"box_2d\": [549, 145, 595, 187], \"label\": \"not gate symbol\"},\n {\"box_2d\": [549, 199, 595, 241], \"label\": \"not gate symbol\"},\n {\"box_2d\": [581, 392, 650, 477], \"label\": \"and gate symbol\"},\n {\"box_2d\": [628, 540, 698, 624], \"label\": \"or gate symbol\"},\n {\"box_2d\": [660, 864, 730, 947], \"label\": \"or gate symbol\"},\n {\"box_2d\": [676, 392, 745, 477], \"label\": \"and gate symbol\"},\n {\"box_2d\": [786, 365, 855, 450], \"label\": \"and gate symbol\"},\n {\"box_2d\": [834, 554, 904, 637], \"label\": \"or gate symbol\"},\n {\"box_2d\": [913, 352, 982, 437], \"label\": \"and gate symbol\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 2264, "elapsed_seconds": 17.27420975000132, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 17.2845}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 110, "image": "000002_png.rf.4f51fa98e7c1b825375b26d30324d587.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [155, 204, 169, 226], \"label\": \"tire spike absent\"},\n {\"box_2d\": [195, 246, 212, 270], \"label\": \"tire spike absent\"},\n {\"box_2d\": [251, 298, 270, 323], \"label\": \"tire spike absent\"},\n {\"box_2d\": [346, 324, 365, 351], \"label\": \"tire spike normal\"},\n {\"box_2d\": [411, 380, 430, 408], \"label\": \"tire spike normal\"},\n {\"box_2d\": [507, 377, 529, 405], \"label\": \"tire spike normal\"},\n {\"box_2d\": [572, 433, 591, 461], \"label\": \"tire spike normal\"},\n {\"box_2d\": [759, 498, 777, 523], \"label\": \"tire spike normal\"},\n {\"box_2d\": [825, 567, 843, 592], \"label\": \"tire spike absent\"},\n {\"box_2d\": [938, 612, 952, 634], \"label\": \"tire spike normal\"},\n {\"box_2d\": [175, 574, 190, 596], \"label\": \"tire spike normal\"},\n {\"box_2d\": [243, 642, 260, 666], \"label\": \"tire spike normal\"},\n {\"box_2d\": [333, 678, 350, 701], \"label\": \"tire spike normal\"},\n {\"box_2d\": [390, 746, 407, 768], \"label\": \"tire spike normal\"},\n {\"box_2d\": [465, 764, 483, 788], \"label\": \"tire spike normal\"},\n {\"box_2d\": [543, 780, 562, 804], \"label\": \"tire spike normal\"},\n {\"box_2d\": [614, 839, 633, 862], \"label\": \"tire spike normal\"},\n {\"box_2d\": [714, 834, 732, 856], \"label\": \"tire spike normal\"},\n {\"box_2d\": [766, 875, 782, 895], \"label\": \"tire spike normal\"}\n]\n```", "correct": false, "input_tokens": 1244, "output_tokens": 2155, "elapsed_seconds": 17.206921709002927, "metadata": {"match_method": "map", "num_predictions": 19, "num_ground_truth": 25, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6386138796806335, "attempts": 1, "retries": 0, "total_seconds": 17.2374}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 111, "image": "20210325_203906_jpg.rf.933d9e03e479d146bb70034cc952f103.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [153, 223, 300, 370], \"label\": \"1 euro cent coin\"},\n {\"box_2d\": [125, 517, 300, 692], \"label\": \"2 euro cent coin\"},\n {\"box_2d\": [266, 364, 455, 555], \"label\": \"5 euro cent coin\"},\n {\"box_2d\": [319, 72, 536, 291], \"label\": \"50 euro cent coin\"},\n {\"box_2d\": [331, 650, 567, 892], \"label\": \"2 euro coin\"},\n {\"box_2d\": [477, 458, 672, 658], \"label\": \"20 euro cent coin\"},\n {\"box_2d\": [539, 217, 741, 420], \"label\": \"1 euro coin\"},\n {\"box_2d\": [759, 434, 927, 606], \"label\": \"10 euro cent coin\"}\n]\n```", "correct": true, "input_tokens": 1272, "output_tokens": 1101, "elapsed_seconds": 9.56113429099787, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 9.5796}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 112, "image": "IMG_6680_jpeg_jpg.rf.a7e13dbe56d360a8422903a30c5bef2b.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [449, 29, 527, 200], \"label\": \"green poker chip\"},\n {\"box_2d\": [491, 28, 546, 201], \"label\": \"green poker chip\"},\n {\"box_2d\": [504, 34, 563, 206], \"label\": \"green poker chip\"},\n {\"box_2d\": [447, 226, 522, 384], \"label\": \"orange poker chip\"},\n {\"box_2d\": [485, 232, 540, 388], \"label\": \"orange poker chip\"},\n {\"box_2d\": [499, 214, 562, 370], \"label\": \"orange poker chip\"},\n {\"box_2d\": [445, 431, 517, 584], \"label\": \"red poker chip\"},\n {\"box_2d\": [476, 420, 536, 576], \"label\": \"red poker chip\"},\n {\"box_2d\": [499, 434, 559, 590], \"label\": \"red poker chip\"},\n {\"box_2d\": [448, 622, 521, 783], \"label\": \"blue poker chip\"},\n {\"box_2d\": [484, 623, 539, 783], \"label\": \"blue poker chip\"},\n {\"box_2d\": [503, 624, 563, 789], \"label\": \"blue poker chip\"},\n {\"box_2d\": [438, 803, 509, 974], \"label\": \"white poker chip\"},\n {\"box_2d\": [477, 813, 533, 989], \"label\": \"white poker chip\"},\n {\"box_2d\": [491, 812, 550, 988], \"label\": \"white poker chip\"}\n]\n```", "correct": true, "input_tokens": 1243, "output_tokens": 1578, "elapsed_seconds": 14.490800708066672, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 14.5114}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 113, "image": "paper-parts_1947_92_jpg.rf.c89564b4b37a6d7828cc26ccdadbe488.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [99, 860, 113, 881], \"label\": \"page number\"},\n {\"box_2d\": [141, 234, 472, 767], \"label\": \"figure\"},\n {\"box_2d\": [485, 117, 518, 882], \"label\": \"figure caption\"},\n {\"box_2d\": [522, 494, 536, 499], \"label\": \"paragraph\"},\n {\"box_2d\": [550, 267, 565, 732], \"label\": \"table caption\"},\n {\"box_2d\": [579, 224, 691, 775], \"label\": \"table\"},\n {\"box_2d\": [720, 118, 753, 881], \"label\": \"paragraph\"},\n {\"box_2d\": [776, 118, 790, 336], \"label\": \"subsection\"},\n {\"box_2d\": [804, 117, 837, 881], \"label\": \"paragraph\"},\n {\"box_2d\": [853, 427, 873, 572], \"label\": \"equation\"},\n {\"box_2d\": [888, 118, 907, 536], \"label\": \"paragraph\"}\n]\n```", "correct": true, "input_tokens": 1255, "output_tokens": 1309, "elapsed_seconds": 12.553014207980596, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 10, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8437498807907104, "attempts": 1, "retries": 0, "total_seconds": 12.592}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 114, "image": "160623_JPG_jpg.rf.4a3c396118b0f749044f2bf5dc9876a6.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 407, 965, 518], \"label\": \"insulator flashover\"}\n]\n```", "correct": false, "input_tokens": 1218, "output_tokens": 922, "elapsed_seconds": 19.891483750077896, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 3, "retries": 2, "total_seconds": 156.974, "transient_errors": ["RemoteProtocolError", "RemoteProtocolError"]}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 115, "image": "97_jpg.rf.6e96875525666efd5c6ee92a42ea704b.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [159, 444, 232, 490], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [391, 259, 429, 316], \"label\": \"resistor symbol\"},\n {\"box_2d\": [365, 417, 452, 468], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [398, 640, 435, 709], \"label\": \"resistor symbol\"},\n {\"box_2d\": [362, 770, 444, 811], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [501, 115, 620, 159], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [548, 519, 646, 562], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [558, 865, 697, 887], \"label\": \"resistor symbol\"},\n {\"box_2d\": [811, 281, 858, 350], \"label\": \"resistor symbol\"}\n]\n```", "correct": true, "input_tokens": 1251, "output_tokens": 1128, "elapsed_seconds": 9.772074125008658, "metadata": {"match_method": "map", "num_predictions": 9, "num_ground_truth": 9, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 9.7798}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 116, "image": "IMG_20260128_081234_jpg.rf.66b0abebc9fc2c6dc309b213a32ddf78.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [5, 84, 362, 188], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [15, 298, 355, 397], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [27, 405, 360, 492], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [62, 589, 169, 667], \"label\": \"white standard price tag\"},\n {\"box_2d\": [71, 899, 177, 976], \"label\": \"white standard price tag\"},\n {\"box_2d\": [739, 39, 839, 108], \"label\": \"white standard price tag\"},\n {\"box_2d\": [751, 258, 844, 332], \"label\": \"white standard price tag\"},\n {\"box_2d\": [748, 357, 842, 428], \"label\": \"white standard price tag\"},\n {\"box_2d\": [740, 444, 836, 513], \"label\": \"white standard price tag\"},\n {\"box_2d\": [746, 558, 841, 628], \"label\": \"white standard price tag\"},\n {\"box_2d\": [748, 699, 843, 769], \"label\": \"white standard price tag\"},\n {\"box_2d\": [750, 806, 845, 875], \"label\": \"white standard price tag\"},\n {\"box_2d\": [749, 880, 844, 947], \"label\": \"white standard price tag\"},\n {\"box_2d\": [751, 947, 845, 1000], \"label\": \"white standard price tag\"}\n]\n```", "correct": true, "input_tokens": 1222, "output_tokens": 2232, "elapsed_seconds": 25.485783540992998, "metadata": {"match_method": "map", "num_predictions": 14, "num_ground_truth": 14, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 25.758}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 117, "image": "1668147222__jpg.rf.44d299ff8b2787b4176e92260de001ce.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [597, 40, 645, 68], \"label\": \"five die\"},\n {\"box_2d\": [506, 108, 560, 141], \"label\": \"six die\"},\n {\"box_2d\": [568, 145, 626, 179], \"label\": \"three die\"},\n {\"box_2d\": [841, 119, 900, 154], \"label\": \"five die\"},\n {\"box_2d\": [356, 125, 404, 152], \"label\": \"six die\"},\n {\"box_2d\": [280, 206, 329, 235], \"label\": \"five die\"},\n {\"box_2d\": [422, 220, 470, 248], \"label\": \"five die\"},\n {\"box_2d\": [374, 292, 429, 323], \"label\": \"one die\"},\n {\"box_2d\": [426, 304, 474, 331], \"label\": \"two die\"},\n {\"box_2d\": [584, 284, 636, 313], \"label\": \"six die\"},\n {\"box_2d\": [130, 318, 186, 349], \"label\": \"four die\"},\n {\"box_2d\": [175, 381, 231, 412], \"label\": \"two die\"},\n {\"box_2d\": [135, 398, 190, 429], \"label\": \"one die\"},\n {\"box_2d\": [525, 391, 581, 422], \"label\": \"four die\"},\n {\"box_2d\": [643, 372, 700, 404], \"label\": \"six die\"},\n {\"box_2d\": [755, 448, 804, 475], \"label\": \"five die\"},\n {\"box_2d\": [758, 509, 811, 538], \"label\": \"four die\"},\n {\"box_2d\": [772, 563, 829, 595], \"label\": \"four die\"},\n {\"box_2d\": [625, 501, 672, 528], \"label\": \"two die\"},\n {\"box_2d\": [628, 540, 686, 573], \"label\": \"two die\"},\n {\"box_2d\": [590, 582, 639, 609], \"label\": \"four die\"},\n {\"box_2d\": [402, 473, 456, 504], \"label\": \"one die\"},\n {\"box_2d\": [302, 489, 353, 518], \"label\": \"three die\"},\n {\"box_2d\": [375, 530, 431, 562], \"label\": \"six die\"},\n {\"box_2d\": [213, 496, 271, 529], \"label\": \"one die\"},\n {\"box_2d\": [231, 528, 281, 556], \"label\": \"two die\"},\n {\"box_2d\": [182, 539, 239, 571], \"label\": \"four die\"},\n {\"box_2d\": [126, 553, 181, 583], \"label\": \"two die\"},\n {\"box_2d\": [172, 569, 226, 601], \"label\": \"two die\"},\n {\"box_2d\": [20, 613, 79, 645], \"label\": \"five die\"},\n {\"box_2d\": [286, 612, 344, 644], \"label\": \"two die\"},\n {\"box_2d\": [335, 634, 383, 662], \"label\": \"two die\"},\n {\"box_2d\": [396, 639, 446, 667], \"label\": \"five die\"},\n {\"box_2d\": [461, 586, 517, 618], \"label\": \"six die\"},\n {\"box_2d\": [482, 626, 538, 659], \"label\": \"one die\"},\n {\"box_2d\": [537, 628, 590, 658], \"label\": \"four die\"},\n {\"box_2d\": [569, 650, 626, 683], \"label\": \"six die\"},\n {\"box_2d\": [641, 665, 696, 697], \"label\": \"three die\"},\n {\"box_2d\": [354, 696, 402, 723], \"label\": \"four die\"},\n {\"box_2d\": [401, 730, 460, 764], \"label\": \"four die\"},\n {\"box_2d\": [464, 742, 521, 776], \"label\": \"five die\"},\n {\"box_2d\": [515, 757, 566, 788], \"label\": \"two die\"},\n {\"box_2d\": [585, 769, 642, 802], \"label\": \"three die\"},\n {\"box_2d\": [138, 729, 192, 759], \"label\": \"one die\"},\n {\"box_2d\": [158, 792, 217, 826], \"label\": \"three die\"},\n {\"box_2d\": [449, 858, 498, 888], \"label\": \"four die\"},\n {\"box_2d\": [699, 912, 748, 942], \"label\": \"five die\"},\n {\"box_2d\": [126, 918, 184, 951], \"label\": \"two die\"},\n {\"box_2d\": [82, 935, 132, 965], \"label\": \"two die\"},\n {\"box_2d\": [127, 949, 177, 978], \"label\": \"three die\"}\n]\n```", "correct": true, "input_tokens": 1252, "output_tokens": 4022, "elapsed_seconds": 33.199376291944645, "metadata": {"match_method": "map", "num_predictions": 50, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9260175824165344, "attempts": 1, "retries": 0, "total_seconds": 33.2386}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 118, "image": "IMG_0603_jpeg.rf.ecb146a41f95c297fa9a3a9efb0e3ea5.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [462, 214, 616, 310], \"label\": \"peach jelly bean\"},\n {\"box_2d\": [338, 396, 456, 467], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [466, 519, 591, 642], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [344, 689, 447, 800], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [96, 771, 159, 825], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [102, 821, 162, 873], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [120, 868, 165, 912], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [152, 855, 216, 905], \"label\": \"caramel corn jelly bean\"}\n]\n```", "correct": true, "input_tokens": 1230, "output_tokens": 4775, "elapsed_seconds": 48.3999158750521, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8341583609580994, "attempts": 1, "retries": 0, "total_seconds": 48.4371}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 119, "image": "lot229_JPEG_jpg.rf.ffdf35568953f3fde9f8f46749018268.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [128, 355, 170, 380], \"label\": \"chicory seed\"},\n {\"box_2d\": [140, 376, 181, 400], \"label\": \"chicory seed\"},\n {\"box_2d\": [119, 410, 161, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [115, 452, 136, 495], \"label\": \"chicory seed\"},\n {\"box_2d\": [133, 430, 169, 470], \"label\": \"chicory seed\"},\n {\"box_2d\": [121, 466, 152, 508], \"label\": \"chicory seed\"},\n {\"box_2d\": [150, 449, 182, 489], \"label\": \"chicory seed\"},\n {\"box_2d\": [128, 488, 166, 523], \"label\": \"chicory seed\"},\n {\"box_2d\": [124, 540, 144, 586], \"label\": \"chicory seed\"},\n {\"box_2d\": [164, 491, 206, 515], \"label\": \"chicory seed\"},\n {\"box_2d\": [155, 510, 178, 554], \"label\": \"chicory seed\"},\n {\"box_2d\": [171, 512, 196, 556], \"label\": \"chicory seed\"},\n {\"box_2d\": [154, 547, 185, 591], \"label\": \"chicory seed\"},\n {\"box_2d\": [172, 555, 198, 600], \"label\": \"chicory seed\"},\n {\"box_2d\": [160, 598, 202, 620], \"label\": \"chicory seed\"},\n {\"box_2d\": [167, 617, 210, 639], \"label\": \"chicory seed\"},\n {\"box_2d\": [166, 658, 197, 697], \"label\": \"chicory seed\"},\n {\"box_2d\": [198, 678, 239, 704], \"label\": \"chicory seed\"},\n {\"box_2d\": [206, 698, 246, 720], \"label\": \"chicory seed\"},\n {\"box_2d\": [167, 297, 192, 343], \"label\": \"chicory seed\"},\n {\"box_2d\": [179, 262, 204, 300], \"label\": \"chicory seed\"},\n {\"box_2d\": [194, 239, 215, 285], \"label\": \"chicory seed\"},\n {\"box_2d\": [214, 253, 234, 298], \"label\": \"chicory seed\"},\n {\"box_2d\": [216, 230, 260, 251], \"label\": \"chicory seed\"},\n {\"box_2d\": [231, 247, 270, 267], \"label\": \"chicory seed\"},\n {\"box_2d\": [224, 264, 260, 304], \"label\": \"chicory seed\"},\n {\"box_2d\": [251, 198, 279, 241], \"label\": \"chicory seed\"},\n {\"box_2d\": [264, 220, 299, 248], \"label\": \"chicory seed\"},\n {\"box_2d\": [264, 243, 287, 286], \"label\": \"chicory seed\"},\n {\"box_2d\": [169, 347, 209, 372], \"label\": \"chicory seed\"},\n {\"box_2d\": [187, 314, 221, 355], \"label\": \"chicory seed\"},\n {\"box_2d\": [208, 315, 251, 345], \"label\": \"chicory seed\"},\n {\"box_2d\": [223, 301, 261, 336], \"label\": \"chicory seed\"},\n {\"box_2d\": [201, 353, 234, 396], \"label\": \"chicory seed\"},\n {\"box_2d\": [187, 390, 223, 427], \"label\": \"chicory seed\"},\n {\"box_2d\": [191, 424, 219, 470], \"label\": \"chicory seed\"},\n {\"box_2d\": [211, 446, 232, 489], \"label\": \"chicory seed\"},\n {\"box_2d\": [224, 381, 243, 421], \"label\": \"chicory seed\"},\n {\"box_2d\": [232, 340, 269, 377], \"label\": \"chicory seed\"},\n {\"box_2d\": [245, 355, 277, 391], \"label\": \"chicory seed\"},\n {\"box_2d\": [240, 389, 277, 426], \"label\": \"chicory seed\"},\n {\"box_2d\": [259, 304, 281, 351], \"label\": \"chicory seed\"},\n {\"box_2d\": [262, 410, 282, 456], \"label\": \"chicory seed\"},\n {\"box_2d\": [234, 468, 279, 499], \"label\": \"chicory seed\"},\n {\"box_2d\": [191, 505, 220, 549], \"label\": \"chicory seed\"},\n {\"box_2d\": [193, 529, 231, 564], \"label\": \"chicory seed\"},\n {\"box_2d\": [218, 487, 242, 534], \"label\": \"chicory seed\"},\n {\"box_2d\": [233, 494, 260, 538], \"label\": \"chicory seed\"},\n {\"box_2d\": [207, 546, 239, 586], \"label\": \"chicory seed\"},\n {\"box_2d\": [213, 559, 247, 600], \"label\": \"chicory seed\"},\n {\"box_2d\": [230, 563, 262, 607], \"label\": \"chicory seed\"},\n {\"box_2d\": [234, 520, 265, 558], \"label\": \"chicory seed\"},\n {\"box_2d\": [258, 498, 291, 536], \"label\": \"chicory seed\"},\n {\"box_2d\": [253, 529, 280, 571], \"label\": \"chicory seed\"},\n {\"box_2d\": [254, 566, 280, 610], \"label\": \"chicory seed\"},\n {\"box_2d\": [273, 534, 294, 574], \"label\": \"chicory seed\"},\n {\"box_2d\": [201, 599, 242, 621], \"label\": \"chicory seed\"},\n {\"box_2d\": [212, 610, 251, 644], \"label\": \"chicory seed\"},\n {\"box_2d\": [228, 616, 266, 653], \"label\": \"chicory seed\"},\n {\"box_2d\": [220, 646, 255, 672], \"label\": \"chicory seed\"},\n {\"box_2d\": [251, 636, 293, 667], \"label\": \"chicory seed\"},\n {\"box_2d\": [240, 666, 274, 703], \"label\": \"chicory seed\"},\n {\"box_2d\": [234, 718, 278, 744], \"label\": \"chicory seed\"},\n {\"box_2d\": [315, 203, 355, 235], \"label\": \"chicory seed\"},\n {\"box_2d\": [286, 256, 315, 296], \"label\": \"chicory seed\"},\n {\"box_2d\": [281, 285, 304, 331], \"label\": \"chicory seed\"},\n {\"box_2d\": [274, 330, 294, 375], \"label\": \"chicory seed\"},\n {\"box_2d\": [292, 322, 320, 367], \"label\": \"chicory seed\"},\n {\"box_2d\": [304, 297, 330, 340], \"label\": \"chicory seed\"},\n {\"box_2d\": [305, 234, 340, 271], \"label\": \"chicory seed\"},\n {\"box_2d\": [312, 269, 344, 313], \"label\": \"chicory seed\"},\n {\"box_2d\": [328, 266, 363, 312], \"label\": \"chicory seed\"},\n {\"box_2d\": [331, 246, 370, 290], \"label\": \"chicory seed\"},\n {\"box_2d\": [363, 278, 387, 320], \"label\": \"chicory seed\"},\n {\"box_2d\": [318, 347, 342, 389], \"label\": \"chicory seed\"},\n {\"box_2d\": [335, 320, 358, 366], \"label\": \"chicory seed\"},\n {\"box_2d\": [347, 312, 375, 357], \"label\": \"chicory seed\"},\n {\"box_2d\": [342, 356, 381, 388], \"label\": \"chicory seed\"},\n {\"box_2d\": [270, 373, 311, 403], \"label\": \"chicory seed\"},\n {\"box_2d\": [288, 363, 327, 399], \"label\": \"chicory seed\"},\n {\"box_2d\": [281, 398, 301, 442], \"label\": \"chicory seed\"},\n {\"box_2d\": [299, 405, 338, 440], \"label\": \"chicory seed\"},\n {\"box_2d\": [296, 427, 333, 456], \"label\": \"chicory seed\"},\n {\"box_2d\": [286, 443, 326, 471], \"label\": \"chicory seed\"},\n {\"box_2d\": [289, 458, 319, 500], \"label\": \"chicory seed\"},\n {\"box_2d\": [317, 455, 339, 502], \"label\": \"chicory seed\"},\n {\"box_2d\": [322, 391, 345, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [342, 387, 368, 432], \"label\": \"chicory seed\"},\n {\"box_2d\": [332, 436, 360, 481], \"label\": \"chicory seed\"},\n {\"box_2d\": [344, 430, 380, 463], \"label\": \"chicory seed\"},\n {\"box_2d\": [363, 396, 389, 437], \"label\": \"chicory seed\"},\n {\"box_2d\": [366, 375, 406, 398], \"label\": \"chicory seed\"},\n {\"box_2d\": [376, 405, 401, 447], \"label\": \"chicory seed\"},\n {\"box_2d\": [357, 452, 391, 491], \"label\": \"chicory seed\"},\n {\"box_2d\": [289, 498, 324, 531], \"label\": \"chicory seed\"},\n {\"box_2d\": [292, 532, 313, 577], \"label\": \"chicory seed\"},\n {\"box_2d\": [309, 517, 334, 559], \"label\": \"chicory seed\"},\n {\"box_2d\": 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"coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3366336524486542, "attempts": 1, "retries": 0, "total_seconds": 106.2132}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 120, "image": "Screenshot-2024-05-16-144630_png.rf.ac24f71a7370686a36ea1f2bec910257.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [5, 118, 28, 139], \"label\": \"bullet hole\"},\n {\"box_2d\": [75, 125, 96, 146], \"label\": \"bullet hole\"},\n {\"box_2d\": [167, 137, 190, 158], \"label\": \"bullet hole\"},\n {\"box_2d\": [225, 144, 249, 166], \"label\": \"bullet hole\"},\n {\"box_2d\": [52, 342, 70, 366], \"label\": \"bullet hole\"},\n {\"box_2d\": [114, 341, 136, 365], \"label\": \"bullet hole\"},\n {\"box_2d\": [178, 341, 200, 363], \"label\": \"bullet hole\"},\n {\"box_2d\": [99, 565, 121, 586], \"label\": \"bullet hole\"},\n {\"box_2d\": [212, 506, 236, 530], \"label\": \"bullet hole\"},\n {\"box_2d\": [257, 610, 277, 633], \"label\": \"bullet hole\"},\n {\"box_2d\": [224, 670, 249, 695], \"label\": \"bullet hole\"},\n {\"box_2d\": [320, 668, 341, 692], \"label\": \"bullet hole\"},\n {\"box_2d\": [68, 808, 90, 832], \"label\": \"bullet hole\"},\n {\"box_2d\": [138, 792, 163, 818], \"label\": \"bullet hole\"},\n {\"box_2d\": [225, 847, 248, 870], \"label\": \"bullet hole\"},\n {\"box_2d\": [331, 835, 357, 858], \"label\": \"bullet hole\"},\n {\"box_2d\": [389, 829, 417, 852], \"label\": \"bullet hole\"},\n {\"box_2d\": [313, 560, 336, 582], \"label\": \"bullet hole\"},\n {\"box_2d\": [360, 608, 383, 632], \"label\": \"bullet hole\"},\n {\"box_2d\": [349, 273, 374, 297], \"label\": \"bullet hole\"},\n {\"box_2d\": [422, 220, 446, 244], \"label\": \"bullet hole\"},\n {\"box_2d\": [474, 156, 491, 173], \"label\": \"bullet hole\"},\n {\"box_2d\": [570, 91, 594, 117], \"label\": \"bullet hole\"},\n {\"box_2d\": [633, 35, 649, 56], \"label\": \"bullet hole\"},\n {\"box_2d\": [568, 271, 592, 295], \"label\": \"bullet hole\"},\n {\"box_2d\": [610, 247, 631, 271], \"label\": \"bullet hole\"},\n {\"box_2d\": [581, 361, 604, 386], \"label\": \"bullet hole\"},\n {\"box_2d\": [530, 461, 555, 487], \"label\": \"bullet hole\"},\n {\"box_2d\": [586, 610, 611, 633], \"label\": \"bullet hole\"},\n {\"box_2d\": [685, 608, 711, 632], \"label\": \"bullet hole\"},\n {\"box_2d\": [684, 451, 712, 478], \"label\": \"bullet hole\"},\n {\"box_2d\": [720, 354, 744, 381], \"label\": \"bullet hole\"},\n {\"box_2d\": [743, 172, 764, 194], \"label\": \"bullet hole\"},\n {\"box_2d\": [744, 259, 764, 285], \"label\": \"bullet hole\"},\n {\"box_2d\": [795, 235, 820, 257], \"label\": \"bullet hole\"},\n {\"box_2d\": [782, 341, 806, 362], \"label\": \"bullet hole\"},\n {\"box_2d\": [854, 320, 879, 342], \"label\": \"bullet hole\"},\n {\"box_2d\": [928, 168, 946, 189], \"label\": \"bullet hole\"},\n {\"box_2d\": [812, 518, 836, 540], \"label\": \"bullet hole\"},\n {\"box_2d\": [876, 454, 905, 482], \"label\": \"bullet hole\"},\n {\"box_2d\": [935, 537, 956, 561], \"label\": \"bullet hole\"},\n {\"box_2d\": [861, 608, 882, 634], \"label\": \"bullet hole\"},\n {\"box_2d\": [891, 780, 914, 803], \"label\": \"bullet hole\"},\n {\"box_2d\": [894, 886, 919, 909], \"label\": \"bullet hole\"}\n]\n```", "correct": false, "input_tokens": 1222, "output_tokens": 4471, "elapsed_seconds": 36.23233441601042, "metadata": {"match_method": "map", "num_predictions": 44, "num_ground_truth": 44, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.4509788453578949, "attempts": 1, "retries": 0, "total_seconds": 36.2529}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 121, "image": "GP010255_JPG_jpg.rf.a9c124de642391662cf0875377214d1e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [69, 525, 166, 780], \"label\": \"carrot\"},\n {\"box_2d\": [122, 513, 198, 769], \"label\": \"carrot\"},\n {\"box_2d\": [94, 346, 244, 558], \"label\": \"carrot\"},\n {\"box_2d\": [139, 281, 286, 418], \"label\": \"carrot\"},\n {\"box_2d\": [213, 315, 342, 391], \"label\": \"carrot\"},\n {\"box_2d\": [175, 377, 299, 618], \"label\": \"carrot\"},\n {\"box_2d\": [187, 594, 344, 775], \"label\": \"carrot\"},\n {\"box_2d\": [238, 344, 434, 442], \"label\": \"carrot\"},\n {\"box_2d\": [271, 424, 415, 614], \"label\": \"carrot\"},\n {\"box_2d\": [309, 646, 463, 790], \"label\": \"carrot\"},\n {\"box_2d\": [313, 305, 492, 366], \"label\": \"carrot\"},\n {\"box_2d\": [437, 329, 480, 519], \"label\": \"carrot\"},\n {\"box_2d\": [382, 515, 634, 573], \"label\": \"carrot\"},\n {\"box_2d\": [445, 279, 706, 341], \"label\": \"carrot\"},\n {\"box_2d\": [462, 377, 618, 472], \"label\": \"carrot\"},\n {\"box_2d\": [497, 369, 703, 461], \"label\": \"carrot\"},\n {\"box_2d\": [519, 467, 718, 519], \"label\": \"carrot\"},\n {\"box_2d\": [574, 493, 763, 587], \"label\": \"carrot\"},\n {\"box_2d\": [487, 555, 728, 634], \"label\": \"carrot\"},\n {\"box_2d\": [461, 626, 672, 687], \"label\": \"carrot\"},\n {\"box_2d\": [462, 685, 694, 763], \"label\": \"carrot\"},\n {\"box_2d\": [667, 633, 813, 793], \"label\": \"carrot\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 2293, "elapsed_seconds": 19.462186958058737, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 19.4877}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 122, "image": "20210325_203749_jpg.rf.1705fa1e1420cef9584e0f51c930586c.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [200, 135, 405, 349], \"label\": \"50 euro cent coin\"},\n {\"box_2d\": [134, 424, 327, 621], \"label\": \"1 euro coin\"},\n {\"box_2d\": [158, 682, 323, 851], \"label\": \"10 euro cent coin\"},\n {\"box_2d\": [366, 480, 505, 621], \"label\": \"1 euro cent coin\"},\n {\"box_2d\": [383, 749, 565, 935], \"label\": \"5 euro cent coin\"},\n {\"box_2d\": [439, 227, 603, 395], \"label\": \"2 euro cent coin\"},\n {\"box_2d\": [612, 417, 805, 611], \"label\": \"20 euro cent coin\"},\n {\"box_2d\": [611, 634, 835, 858], \"label\": \"2 euro coin\"}\n]\n```", "correct": true, "input_tokens": 1272, "output_tokens": 934, "elapsed_seconds": 8.819166000001132, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 8.836}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 123, "image": "53_jpeg_jpg.rf.827706d6e6ec3d14c5952c8d4c752e99.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [90, 378, 203, 491], \"label\": \"potato\"},\n {\"box_2d\": [126, 956, 250, 1000], \"label\": \"potato\"},\n {\"box_2d\": [312, 846, 427, 950], \"label\": \"potato\"},\n {\"box_2d\": [490, 574, 620, 688], \"label\": \"potato\"},\n {\"box_2d\": [519, 699, 623, 801], \"label\": \"potato\"},\n {\"box_2d\": [514, 843, 621, 949], \"label\": \"potato\"},\n {\"box_2d\": [718, 888, 804, 970], \"label\": \"potato\"},\n {\"box_2d\": [719, 625, 822, 718], \"label\": \"potato\"},\n {\"box_2d\": [715, 415, 860, 499], \"label\": \"potato\"},\n {\"box_2d\": [711, 66, 800, 194], \"label\": \"potato\"},\n {\"box_2d\": [919, 13, 1000, 109], \"label\": \"potato\"},\n {\"box_2d\": [926, 437, 1000, 526], \"label\": \"potato\"},\n {\"box_2d\": [921, 675, 1000, 771], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1240, "output_tokens": 1304, "elapsed_seconds": 14.544803166994825, "metadata": {"match_method": "map", "num_predictions": 13, "num_ground_truth": 13, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 14.5734}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 124, "image": "car-part-detection_Car-damages-1749_png_jpg.rf.841bd72a48ea0726dc55d3cf93207af1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [432, 74, 549, 130], \"label\": \"tail light\"},\n {\"box_2d\": [544, 60, 728, 174], \"label\": \"back bumper\"},\n {\"box_2d\": [277, 198, 721, 467], \"label\": \"back door\"},\n {\"box_2d\": [282, 206, 444, 435], \"label\": \"back window\"},\n {\"box_2d\": [284, 452, 461, 687], \"label\": \"front window\"},\n {\"box_2d\": [277, 442, 721, 742], \"label\": \"front door\"},\n {\"box_2d\": [406, 673, 470, 715], \"label\": \"mirror\"},\n {\"box_2d\": [286, 585, 456, 765], \"label\": \"windshield\"},\n {\"box_2d\": [401, 738, 484, 935], \"label\": \"hood\"},\n {\"box_2d\": [573, 896, 714, 988], \"label\": \"front bumper\"}\n]\n```", "correct": false, "input_tokens": 1246, "output_tokens": 1406, "elapsed_seconds": 17.53676391602494, "metadata": {"match_method": "map", "num_predictions": 10, "num_ground_truth": 13, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7087457776069641, "attempts": 1, "retries": 0, "total_seconds": 17.5565}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 125, "image": "1704196661687_jpg.rf.15374227e4fbd79145880dc340991d51.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [76, 450, 173, 521], \"label\": \"bean grain\"},\n {\"box_2d\": [110, 583, 198, 677], \"label\": \"bean grain\"},\n {\"box_2d\": [199, 142, 286, 213], \"label\": \"bean grain\"},\n {\"box_2d\": [189, 305, 297, 380], \"label\": \"bean grain\"},\n {\"box_2d\": [216, 535, 299, 642], \"label\": \"bean grain\"},\n {\"box_2d\": [190, 816, 272, 911], \"label\": \"bean grain\"},\n {\"box_2d\": [374, 135, 446, 239], \"label\": \"bean grain\"},\n {\"box_2d\": [454, 382, 539, 480], \"label\": \"bean grain\"},\n {\"box_2d\": [385, 715, 493, 795], \"label\": \"bean grain\"},\n {\"box_2d\": [548, 563, 626, 666], \"label\": \"bean grain\"},\n {\"box_2d\": [537, 858, 612, 964], \"label\": \"bean grain\"},\n {\"box_2d\": [609, 159, 693, 267], \"label\": \"bean grain\"},\n {\"box_2d\": [646, 404, 715, 501], \"label\": \"bean grain\"},\n {\"box_2d\": [637, 762, 703, 864], \"label\": \"bean grain\"},\n {\"box_2d\": [802, 343, 891, 439], \"label\": \"bean grain\"},\n {\"box_2d\": [754, 557, 843, 649], \"label\": \"bean grain\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 1519, "elapsed_seconds": 13.582859458983876, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 13.6}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 126, "image": "fall-detection_13_mp4-274_jpg.rf.81d37af519564fd17e00cbdde20bedcf.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [385, 472, 433, 538], \"label\": \"fallen person\"},\n {\"box_2d\": [386, 530, 447, 631], \"label\": \"fallen person\"},\n {\"box_2d\": [423, 591, 470, 725], \"label\": \"fallen person\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 612, "elapsed_seconds": 7.541942415991798, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 7.5533}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 127, "image": "tile_672_jpg.rf.563bc07bfb63272303ba7c8beec3dfd0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [26, 443, 81, 472], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [221, 713, 260, 737], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [333, 830, 354, 850], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [374, 333, 395, 366], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [436, 683, 473, 704], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [470, 829, 521, 863], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [514, 366, 539, 389], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [603, 691, 628, 706], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [609, 426, 628, 449], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [690, 825, 735, 857], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [875, 848, 920, 874], \"label\": \"ship in SAR satellite image\"}\n]\n```", "correct": true, "input_tokens": 1229, "output_tokens": 1770, "elapsed_seconds": 21.667446209001355, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9108911156654358, "attempts": 1, "retries": 0, "total_seconds": 21.7055}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 128, "image": "Screenshot-2024-05-16-150353_png.rf.28f931ef1556f4fbfc5b8964a85b5e08.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [19, 34, 52, 66], \"label\": \"bullet hole\"},\n {\"box_2d\": [62, 152, 96, 182], \"label\": \"bullet hole\"},\n {\"box_2d\": [108, 79, 141, 114], \"label\": \"bullet hole\"},\n {\"box_2d\": [205, 13, 244, 45], \"label\": \"bullet hole\"},\n {\"box_2d\": [203, 159, 240, 194], \"label\": \"bullet hole\"},\n {\"box_2d\": [299, 67, 336, 102], \"label\": \"bullet hole\"},\n {\"box_2d\": [326, 223, 358, 256], \"label\": \"bullet hole\"},\n {\"box_2d\": [251, 283, 286, 319], \"label\": \"bullet hole\"},\n {\"box_2d\": [69, 335, 103, 368], \"label\": \"bullet hole\"},\n {\"box_2d\": [28, 415, 62, 449], \"label\": \"bullet hole\"},\n {\"box_2d\": [192, 375, 228, 408], \"label\": \"bullet hole\"},\n {\"box_2d\": [179, 467, 213, 500], \"label\": \"bullet hole\"},\n {\"box_2d\": [387, 255, 421, 288], \"label\": \"bullet hole\"},\n {\"box_2d\": [461, 300, 495, 335], \"label\": \"bullet hole\"},\n {\"box_2d\": [431, 83, 463, 116], \"label\": \"bullet hole\"},\n {\"box_2d\": [375, 1, 410, 35], \"label\": \"bullet hole\"},\n {\"box_2d\": [510, 56, 543, 92], \"label\": \"bullet hole\"},\n {\"box_2d\": [80, 598, 113, 631], \"label\": \"bullet hole\"},\n {\"box_2d\": [110, 763, 145, 796], \"label\": \"bullet hole\"},\n {\"box_2d\": [124, 895, 157, 927], \"label\": \"bullet hole\"},\n {\"box_2d\": [75, 985, 109, 1000], \"label\": \"bullet hole\"},\n {\"box_2d\": [338, 764, 371, 796], \"label\": \"bullet hole\"},\n {\"box_2d\": [396, 986, 430, 1000], \"label\": \"bullet hole\"},\n {\"box_2d\": [430, 619, 463, 655], \"label\": \"bullet hole\"},\n {\"box_2d\": [587, 673, 623, 706], \"label\": \"bullet hole\"},\n {\"box_2d\": [549, 799, 581, 831], \"label\": \"bullet hole\"},\n {\"box_2d\": [734, 646, 767, 679], \"label\": \"bullet hole\"},\n {\"box_2d\": [795, 760, 827, 791], \"label\": \"bullet hole\"},\n {\"box_2d\": [711, 315, 740, 348], \"label\": \"bullet hole\"},\n {\"box_2d\": [810, 320, 840, 353], \"label\": \"bullet hole\"},\n {\"box_2d\": [710, 149, 746, 183], \"label\": \"bullet hole\"},\n {\"box_2d\": [812, 108, 846, 139], \"label\": \"bullet hole\"},\n {\"box_2d\": [826, 183, 859, 215], \"label\": \"bullet hole\"},\n {\"box_2d\": [919, 175, 949, 207], \"label\": \"bullet hole\"}\n]\n```", "correct": false, "input_tokens": 1222, "output_tokens": 2434, "elapsed_seconds": 21.33706983400043, "metadata": {"match_method": "map", "num_predictions": 34, "num_ground_truth": 34, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.732181191444397, "attempts": 1, "retries": 0, "total_seconds": 21.3518}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 129, "image": "9999942_00000_d_0000179_jpg.rf.00eabf74c1cd10c40aa228a466f9fe04.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [345, 0, 396, 24], \"label\": \"car\"},\n {\"box_2d\": [359, 17, 412, 60], \"label\": \"car\"},\n {\"box_2d\": [362, 57, 417, 100], \"label\": \"car\"},\n {\"box_2d\": [336, 137, 391, 171], \"label\": \"van\"},\n {\"box_2d\": [331, 187, 381, 223], \"label\": \"car\"},\n {\"box_2d\": [333, 250, 370, 299], \"label\": \"car\"},\n {\"box_2d\": [301, 277, 330, 326], \"label\": \"car\"},\n {\"box_2d\": [300, 379, 330, 424], \"label\": \"car\"},\n {\"box_2d\": [376, 373, 408, 421], \"label\": \"car\"},\n {\"box_2d\": [434, 355, 469, 408], \"label\": \"car\"},\n {\"box_2d\": [466, 346, 504, 400], \"label\": \"car\"},\n {\"box_2d\": [611, 131, 661, 199], \"label\": \"car\"},\n {\"box_2d\": [653, 112, 706, 176], \"label\": \"car\"},\n {\"box_2d\": [721, 257, 745, 273], \"label\": \"person\"},\n {\"box_2d\": [80, 394, 102, 422], \"label\": \"car\"},\n {\"box_2d\": [308, 681, 342, 720], \"label\": \"car\"},\n {\"box_2d\": [40, 764, 99, 785], \"label\": \"bus\"},\n {\"box_2d\": [176, 834, 273, 876], \"label\": \"bus\"},\n {\"box_2d\": [329, 969, 366, 996], \"label\": \"car\"},\n {\"box_2d\": [114, 976, 149, 1000], \"label\": \"van\"},\n {\"box_2d\": [75, 936, 130, 967], \"label\": \"truck\"},\n {\"box_2d\": [49, 914, 68, 928], \"label\": \"car\"},\n {\"box_2d\": [251, 811, 270, 819], \"label\": \"person\"}\n]\n```", "correct": false, "input_tokens": 1217, "output_tokens": 2029, "elapsed_seconds": 21.211339458008297, "metadata": {"match_method": "map", "num_predictions": 23, "num_ground_truth": 36, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3781839609146118, "attempts": 1, "retries": 0, "total_seconds": 21.2959}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 130, "image": "125_jpg.rf.c69f3d1b75a33297315d1889af6311e9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [502, 152, 628, 187], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [348, 267, 391, 304], \"label\": \"resistor symbol\"},\n {\"box_2d\": [527, 372, 687, 395], \"label\": \"resistor symbol\"},\n {\"box_2d\": [344, 464, 387, 509], \"label\": \"resistor symbol\"},\n {\"box_2d\": [546, 635, 718, 657], \"label\": \"resistor symbol\"},\n {\"box_2d\": [356, 722, 405, 775], \"label\": \"resistor symbol\"},\n {\"box_2d\": [146, 735, 250, 783], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [518, 840, 646, 860], \"label\": \"resistor symbol\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 897, "elapsed_seconds": 8.218258166918531, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 8.2236}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 131, "image": "IMG_20250815_164311_jpg.rf.83efd32a603d001fd15e3979d744bb04.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [552, 185, 616, 261], \"label\": \"barcode\"},\n {\"box_2d\": [627, 694, 696, 771], \"label\": \"barcode\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 488, "elapsed_seconds": 12.271492832922377, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 12.6111}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 132, "image": "Container-259_jpg.rf.0707fcc208504e8c70d360815ec87ed2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [236, 582, 295, 730], \"label\": \"shipping container number\"},\n {\"box_2d\": [289, 580, 322, 637], \"label\": \"container ISO type code\"}\n]\n```", "correct": true, "input_tokens": 1232, "output_tokens": 471, "elapsed_seconds": 7.748288208968006, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 7.7685}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 133, "image": "1704195139360_jpg.rf.325f2c91dbc2bf8869d0a95b29652b2f.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [118, 735, 160, 783], \"label\": \"lentil grain\"},\n {\"box_2d\": [205, 436, 250, 484], \"label\": \"lentil grain\"},\n {\"box_2d\": [303, 822, 341, 868], \"label\": \"lentil grain\"},\n {\"box_2d\": [309, 750, 348, 792], \"label\": \"lentil grain\"},\n {\"box_2d\": [336, 563, 374, 606], \"label\": \"lentil grain\"},\n {\"box_2d\": [412, 252, 454, 297], \"label\": \"lentil grain\"},\n {\"box_2d\": [471, 613, 509, 653], \"label\": \"lentil grain\"},\n {\"box_2d\": [533, 861, 576, 909], \"label\": \"lentil grain\"},\n {\"box_2d\": [554, 432, 591, 475], \"label\": \"lentil grain\"},\n {\"box_2d\": [614, 615, 654, 661], \"label\": \"lentil grain\"},\n {\"box_2d\": [629, 534, 672, 578], \"label\": \"lentil grain\"},\n {\"box_2d\": [749, 742, 792, 794], \"label\": \"lentil grain\"},\n {\"box_2d\": [796, 435, 836, 481], \"label\": \"lentil grain\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 1329, "elapsed_seconds": 15.994478541077115, "metadata": {"match_method": "map", "num_predictions": 13, "num_ground_truth": 13, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 16.0102}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 134, "image": "IMG_20250815_165037_jpg.rf.d4afcf541c2eaa2a500b0fc3e74f380a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [121, 265, 212, 311], \"label\": \"barcode\"},\n {\"box_2d\": [302, 427, 340, 471], \"label\": \"barcode\"},\n {\"box_2d\": [273, 565, 311, 608], \"label\": \"barcode\"},\n {\"box_2d\": [281, 842, 360, 882], \"label\": \"barcode\"},\n {\"box_2d\": [795, 220, 889, 268], \"label\": \"barcode\"},\n {\"box_2d\": [810, 429, 899, 474], \"label\": \"barcode\"},\n {\"box_2d\": [804, 665, 892, 706], \"label\": \"barcode\"},\n {\"box_2d\": [760, 822, 800, 860], \"label\": \"barcode\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 911, "elapsed_seconds": 14.061003124923445, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 14.3433}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 135, "image": "frame_0213_jpg.rf.a492e6ad2bcd535fad151a853f122d53.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [77, 127, 138, 166], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 176, 37, 211], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [1, 224, 39, 257], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [1, 258, 41, 286], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 290, 44, 324], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [87, 254, 147, 289], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [172, 232, 231, 271], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [427, 234, 495, 272], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [634, 241, 704, 282], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [167, 349, 227, 384], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [3, 418, 52, 452], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [49, 414, 108, 448], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [190, 455, 243, 489], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [272, 443, 333, 476], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [422, 466, 483, 502], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [537, 365, 610, 405], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [623, 363, 695, 405], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [742, 349, 822, 394], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [710, 452, 789, 491], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [835, 470, 913, 511], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 523, 46, 552], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [10, 548, 53, 575], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [6, 585, 53, 613], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [21, 623, 64, 654], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [64, 620, 117, 651], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [108, 554, 167, 586], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [213, 547, 270, 580], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [284, 546, 339, 579], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [421, 548, 483, 582], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [559, 563, 626, 603], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [576, 604, 620, 632], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [678, 563, 745, 607], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [545, 670, 608, 707], \"label\": \"garlic on conveyor\"}\n]\n```", "correct": false, "input_tokens": 1238, "output_tokens": 2409, "elapsed_seconds": 24.119054583017714, "metadata": {"match_method": "map", "num_predictions": 33, "num_ground_truth": 23, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7447794675827026, "attempts": 1, "retries": 0, "total_seconds": 24.2112}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 136, "image": "1668147836__jpg.rf.c1a720811dddd913a56ced8dd87e3a53.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [52, 362, 111, 389], \"label\": \"three die\"},\n {\"box_2d\": [48, 714, 108, 745], \"label\": \"six die\"},\n {\"box_2d\": [244, 141, 310, 178], \"label\": \"four die\"},\n {\"box_2d\": [247, 178, 302, 208], \"label\": \"one die\"},\n {\"box_2d\": [274, 284, 329, 311], \"label\": \"four die\"},\n {\"box_2d\": [232, 410, 289, 437], \"label\": \"two die\"},\n {\"box_2d\": [259, 565, 324, 598], \"label\": \"five die\"},\n {\"box_2d\": [215, 742, 274, 773], \"label\": \"three die\"},\n {\"box_2d\": [339, 480, 396, 510], \"label\": \"six die\"},\n {\"box_2d\": [315, 526, 378, 561], \"label\": \"five die\"},\n {\"box_2d\": [343, 565, 398, 593], \"label\": \"three die\"},\n {\"box_2d\": [398, 569, 458, 601], \"label\": \"one die\"},\n {\"box_2d\": [372, 657, 426, 685], \"label\": \"one die\"},\n {\"box_2d\": [339, 731, 405, 767], \"label\": \"four die\"},\n {\"box_2d\": [402, 350, 456, 377], \"label\": \"four die\"},\n {\"box_2d\": [427, 379, 486, 411], \"label\": \"five die\"},\n {\"box_2d\": [460, 315, 524, 349], \"label\": \"four die\"},\n {\"box_2d\": [494, 148, 554, 181], \"label\": \"five die\"},\n {\"box_2d\": [524, 274, 581, 303], \"label\": \"four die\"},\n {\"box_2d\": [565, 283, 626, 316], \"label\": \"five die\"},\n {\"box_2d\": [582, 349, 636, 379], \"label\": \"three die\"},\n {\"box_2d\": [532, 458, 595, 492], \"label\": \"four die\"},\n {\"box_2d\": [468, 568, 524, 597], \"label\": \"three die\"},\n {\"box_2d\": [536, 628, 591, 657], \"label\": \"four die\"},\n {\"box_2d\": [603, 568, 659, 597], \"label\": \"five die\"},\n {\"box_2d\": [429, 798, 485, 830], \"label\": \"six die\"},\n {\"box_2d\": [434, 827, 496, 860], \"label\": \"three die\"},\n {\"box_2d\": [546, 847, 608, 882], \"label\": \"two die\"},\n {\"box_2d\": [558, 901, 621, 937], \"label\": \"two die\"},\n {\"box_2d\": [618, 139, 680, 174], \"label\": \"five die\"},\n {\"box_2d\": [646, 190, 705, 223], \"label\": \"six die\"},\n {\"box_2d\": [758, 182, 821, 219], \"label\": \"four die\"},\n {\"box_2d\": [725, 211, 787, 245], \"label\": \"five die\"},\n {\"box_2d\": [733, 243, 788, 274], \"label\": \"three die\"},\n {\"box_2d\": [660, 274, 715, 306], \"label\": \"four die\"},\n {\"box_2d\": [710, 277, 761, 305], \"label\": \"six die\"},\n {\"box_2d\": [757, 271, 811, 301], \"label\": \"five die\"},\n {\"box_2d\": [811, 241, 872, 275], \"label\": \"six die\"},\n {\"box_2d\": [785, 300, 842, 330], \"label\": \"four die\"},\n {\"box_2d\": [894, 405, 956, 439], \"label\": \"one die\"},\n {\"box_2d\": [633, 436, 697, 471], \"label\": \"five die\"},\n {\"box_2d\": [733, 463, 793, 495], \"label\": \"four die\"},\n {\"box_2d\": [696, 509, 750, 537], \"label\": \"six die\"},\n {\"box_2d\": [642, 761, 695, 790], \"label\": \"six die\"},\n {\"box_2d\": [750, 717, 812, 752], \"label\": \"three die\"},\n {\"box_2d\": [755, 792, 815, 825], \"label\": \"six die\"},\n {\"box_2d\": [723, 825, 781, 858], \"label\": \"four die\"},\n {\"box_2d\": [798, 823, 854, 854], \"label\": \"two die\"},\n {\"box_2d\": [805, 908, 860, 942], \"label\": \"two die\"},\n {\"box_2d\": [911, 777, 962, 806], \"label\": \"two die\"}\n]\n```", "correct": false, "input_tokens": 1252, "output_tokens": 3983, "elapsed_seconds": 31.14814354199916, "metadata": {"match_method": "map", "num_predictions": 50, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6383677124977112, "attempts": 1, "retries": 0, "total_seconds": 31.1902}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 137, "image": "Lego_170_high_jpeg.rf.173b945a080a292465fe84cab83086af.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [114, 95, 214, 206], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [86, 237, 153, 341], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [149, 307, 205, 393], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [195, 86, 281, 181], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [193, 151, 270, 253], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [251, 155, 315, 265], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [362, 36, 444, 136], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [392, 102, 478, 199], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [636, 102, 695, 195], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [331, 297, 377, 400], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [227, 498, 330, 599], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [259, 575, 344, 650], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [116, 735, 174, 833], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [118, 876, 161, 974], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [176, 813, 267, 917], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [335, 754, 410, 838], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [408, 769, 488, 833], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [484, 710, 581, 769], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [536, 755, 640, 825], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [398, 377, 492, 427], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [380, 427, 452, 526], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [471, 391, 555, 479], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [472, 465, 566, 545], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [520, 256, 592, 361], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [545, 346, 625, 459], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [588, 321, 666, 429], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [617, 415, 690, 502], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [645, 217, 745, 290], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [650, 254, 725, 344], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [695, 281, 764, 383], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [716, 423, 801, 498], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [697, 474, 756, 579], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [749, 497, 847, 567], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [711, 699, 796, 779], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [668, 781, 766, 833], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [670, 825, 742, 906], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [734, 827, 810, 892], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [702, 895, 785, 961], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [585, 928, 665, 991], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [803, 814, 884, 898], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [849, 797, 930, 881], \"label\": \"lego 3x2 brick\"}\n]\n```", "correct": true, "input_tokens": 1244, "output_tokens": 6503, "elapsed_seconds": 53.254765709047206, "metadata": {"match_method": "map", "num_predictions": 41, "num_ground_truth": 42, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9801980257034302, "attempts": 1, "retries": 0, "total_seconds": 53.3222}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 138, "image": "DJI_0290_JPG_jpg.rf.052c45a410708d5965bfee1fe9dd1918.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [485, 370, 588, 481], \"label\": \"excavator\"},\n {\"box_2d\": [318, 194, 371, 246], \"label\": \"excavator\"},\n {\"box_2d\": [289, 417, 362, 487], \"label\": \"concrete mixer\"},\n {\"box_2d\": [134, 217, 174, 253], \"label\": \"concrete mixer\"},\n {\"box_2d\": [198, 301, 249, 347], \"label\": \"dump truck\"},\n {\"box_2d\": [447, 835, 529, 931], \"label\": \"dump truck\"},\n {\"box_2d\": [41, 0, 1000, 165], \"label\": \"tower crane\"}\n]\n```", "correct": true, "input_tokens": 1209, "output_tokens": 1480, "elapsed_seconds": 33.70936445903499, "metadata": {"match_method": "map", "num_predictions": 7, "num_ground_truth": 6, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 34.5412}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 139, "image": "oil-tank-detection_oiltank_165_jpg.rf.7a5e38aa38fc11f1234038d454ec044d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [577, 13, 710, 121], \"label\": \"oil tank\"},\n {\"box_2d\": [575, 130, 709, 239], \"label\": \"oil tank\"},\n {\"box_2d\": [571, 246, 704, 354], \"label\": \"oil tank\"},\n {\"box_2d\": [554, 361, 701, 479], \"label\": \"oil tank\"},\n {\"box_2d\": [548, 487, 701, 608], \"label\": \"oil tank\"},\n {\"box_2d\": [546, 616, 696, 738], \"label\": \"oil tank\"},\n {\"box_2d\": [541, 744, 692, 868], \"label\": \"oil tank\"},\n {\"box_2d\": [716, 13, 854, 121], \"label\": \"oil tank\"},\n {\"box_2d\": [714, 129, 850, 239], \"label\": \"oil tank\"},\n {\"box_2d\": [710, 247, 848, 355], \"label\": \"oil tank\"},\n {\"box_2d\": [708, 362, 859, 484], \"label\": \"oil tank\"},\n {\"box_2d\": [704, 492, 855, 613], \"label\": \"oil tank\"},\n {\"box_2d\": [700, 621, 852, 743], \"label\": \"oil tank\"},\n {\"box_2d\": [696, 749, 848, 873], \"label\": \"oil tank\"}\n]\n```", "correct": true, "input_tokens": 1217, "output_tokens": 1316, "elapsed_seconds": 13.188126458087936, "metadata": {"match_method": "map", "num_predictions": 14, "num_ground_truth": 14, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 13.2475}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 140, "image": "img268_png.rf.77932c9124f7e63f288e2be4179d983b.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [31, 388, 111, 460], \"label\": \"and gate symbol\"},\n {\"box_2d\": [78, 252, 112, 301], \"label\": \"not gate symbol\"},\n {\"box_2d\": [80, 546, 160, 617], \"label\": \"and gate symbol\"},\n {\"box_2d\": [152, 410, 187, 459], \"label\": \"not gate symbol\"},\n {\"box_2d\": [154, 702, 236, 776], \"label\": \"or gate symbol\"},\n {\"box_2d\": [228, 546, 309, 617], \"label\": \"and gate symbol\"},\n {\"box_2d\": [276, 410, 311, 459], \"label\": \"not gate symbol\"},\n {\"box_2d\": [278, 860, 360, 934], \"label\": \"or gate symbol\"},\n {\"box_2d\": [352, 546, 433, 618], \"label\": \"and gate symbol\"},\n {\"box_2d\": [402, 703, 482, 775], \"label\": \"and gate symbol\"},\n {\"box_2d\": [474, 568, 510, 617], \"label\": \"not gate symbol\"},\n {\"box_2d\": [549, 252, 584, 301], \"label\": \"not gate symbol\"},\n {\"box_2d\": [550, 388, 631, 460], \"label\": \"and gate symbol\"},\n {\"box_2d\": [600, 546, 681, 617], \"label\": \"and gate symbol\"},\n {\"box_2d\": [624, 252, 658, 301], \"label\": \"not gate symbol\"},\n {\"box_2d\": [650, 702, 731, 776], \"label\": \"or gate symbol\"},\n {\"box_2d\": [722, 410, 757, 459], \"label\": \"not gate symbol\"},\n {\"box_2d\": [724, 546, 804, 617], \"label\": \"and gate symbol\"},\n {\"box_2d\": [748, 860, 830, 934], \"label\": \"or gate symbol\"},\n {\"box_2d\": [846, 410, 882, 459], \"label\": \"not gate symbol\"},\n {\"box_2d\": [848, 546, 929, 618], \"label\": \"and gate symbol\"},\n {\"box_2d\": [872, 703, 954, 776], \"label\": \"and gate symbol\"}\n]\n```", "correct": true, "input_tokens": 1231, "output_tokens": 2142, "elapsed_seconds": 18.780780291068368, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 18.7968}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 141, "image": "170211-2-h_JPG_jpg.rf.4b0d2b71f289bdb00cd0502c7a7a2a5d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [245, 463, 929, 568], \"label\": \"insulator flashover\"}\n]\n```", "correct": false, "input_tokens": 1218, "output_tokens": 579, "elapsed_seconds": 17.128899207920767, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 17.5963}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 142, "image": "floorplan-windows-doors_10361_png.rf.0282a156e3e18e32c9b31eca83a8df92.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [90, 121, 153, 199], \"label\": \"door\"},\n {\"box_2d\": [149, 768, 206, 822], \"label\": \"door\"},\n {\"box_2d\": [288, 769, 342, 827], \"label\": \"door\"},\n {\"box_2d\": [356, 703, 412, 769], \"label\": \"door\"},\n {\"box_2d\": [481, 591, 538, 655], \"label\": \"door\"},\n {\"box_2d\": [548, 475, 606, 540], \"label\": \"door\"},\n {\"box_2d\": [547, 719, 603, 784], \"label\": \"door\"},\n {\"box_2d\": [612, 475, 670, 540], \"label\": \"door\"},\n {\"box_2d\": [725, 588, 791, 657], \"label\": \"door\"},\n {\"box_2d\": [869, 588, 941, 656], \"label\": \"door\"},\n {\"box_2d\": [188, 174, 286, 199], \"label\": \"window\"},\n {\"box_2d\": [312, 174, 411, 199], \"label\": \"window\"},\n {\"box_2d\": [436, 174, 534, 199], \"label\": \"window\"},\n {\"box_2d\": [636, 174, 735, 199], \"label\": \"window\"},\n {\"box_2d\": [867, 290, 890, 396], \"label\": \"window\"},\n {\"box_2d\": [869, 779, 892, 886], \"label\": \"window\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 1850, "elapsed_seconds": 17.892605541972443, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 17.9558}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 143, "image": "IMG_0588_jpeg.rf.ff3a785b0ac1ba5a56ab8eed6ca615a1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [35, 574, 96, 648], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [247, 549, 315, 629], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [240, 742, 318, 820], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [376, 481, 476, 534], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [439, 630, 514, 706], \"label\": \"caramel corn jelly bean\"},\n {\"box_2d\": [618, 554, 718, 603], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [628, 735, 738, 786], \"label\": \"mixed berry smoothie jelly bean\"}\n]\n```", "correct": true, "input_tokens": 1219, "output_tokens": 1038, "elapsed_seconds": 10.820612999959849, "metadata": {"match_method": "map", "num_predictions": 7, "num_ground_truth": 7, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 10.8518}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 144, "image": "signatures_image_100_png_jpg.rf.1b732e075f2453b4400e76d3923fe526.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [322, 72, 396, 434], \"label\": \"signature\"},\n {\"box_2d\": [345, 526, 390, 891], \"label\": \"signature\"},\n {\"box_2d\": [463, 124, 543, 449], \"label\": \"signature\"},\n {\"box_2d\": [450, 554, 517, 821], \"label\": \"signature\"},\n {\"box_2d\": [587, 107, 640, 428], \"label\": \"signature\"}\n]\n```", "correct": true, "input_tokens": 1200, "output_tokens": 604, "elapsed_seconds": 8.838803416932933, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 8.8527}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 145, "image": "paper-parts_8548_70_jpg.rf.61a39e9181e5ebef57cae728c932b730.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [99, 200, 393, 825], \"label\": \"figure\"},\n {\"box_2d\": [399, 118, 431, 882], \"label\": \"figure caption\"},\n {\"box_2d\": [482, 118, 513, 882], \"label\": \"table caption\"},\n {\"box_2d\": [531, 107, 583, 891], \"label\": \"table\"},\n {\"box_2d\": [633, 118, 655, 312], \"label\": \"subsection\"},\n {\"box_2d\": [674, 118, 725, 882], \"label\": \"paragraph\"},\n {\"box_2d\": [741, 305, 759, 882], \"label\": \"equation\"},\n {\"box_2d\": [778, 118, 882, 882], \"label\": \"paragraph\"},\n {\"box_2d\": [900, 490, 914, 509], \"label\": \"page number\"}\n]\n```", "correct": true, "input_tokens": 1255, "output_tokens": 1071, "elapsed_seconds": 20.27583862503525, "metadata": {"match_method": "map", "num_predictions": 9, "num_ground_truth": 9, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8749998807907104, "attempts": 1, "retries": 0, "total_seconds": 20.3135}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 146, "image": "19_jpeg_jpg.rf.34c89435b5ff9122cacb0cab18a49f99.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [33, 21, 128, 105], \"label\": \"potato\"},\n {\"box_2d\": [6, 331, 98, 428], \"label\": \"potato\"},\n {\"box_2d\": [21, 783, 134, 895], \"label\": \"potato\"},\n {\"box_2d\": [221, 0, 314, 82], \"label\": \"potato\"},\n {\"box_2d\": [184, 277, 297, 357], \"label\": \"potato\"},\n {\"box_2d\": [187, 395, 295, 478], \"label\": \"potato\"},\n {\"box_2d\": [197, 548, 307, 666], \"label\": \"potato\"},\n {\"box_2d\": [216, 789, 323, 901], \"label\": \"potato\"},\n {\"box_2d\": [402, 64, 498, 152], \"label\": \"potato\"},\n {\"box_2d\": [402, 327, 507, 415], \"label\": \"potato\"},\n {\"box_2d\": [396, 488, 513, 570], \"label\": \"potato\"},\n {\"box_2d\": [396, 709, 526, 795], \"label\": \"potato\"},\n {\"box_2d\": [357, 980, 500, 1000], \"label\": \"potato\"},\n {\"box_2d\": [602, 57, 711, 177], \"label\": \"potato\"},\n {\"box_2d\": [607, 780, 714, 865], \"label\": \"potato\"},\n {\"box_2d\": [790, 34, 902, 143], \"label\": \"potato\"},\n {\"box_2d\": [829, 486, 932, 582], \"label\": \"potato\"},\n {\"box_2d\": [844, 934, 951, 1000], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1240, "output_tokens": 1805, "elapsed_seconds": 17.76333424996119, "metadata": {"match_method": "map", "num_predictions": 18, "num_ground_truth": 18, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9251925349235535, "attempts": 1, "retries": 0, "total_seconds": 17.8045}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 147, "image": "f12_jpg.rf.fa104f4d104f326761c5485949eec7bb.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [320, 234, 610, 381], \"label\": \"wildfire\"},\n {\"box_2d\": [316, 596, 560, 796], \"label\": \"wildfire\"},\n {\"box_2d\": [716, 94, 941, 420], \"label\": \"wildfire\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 1297, "elapsed_seconds": 18.09578012500424, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 18.1832}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 148, "image": "f36_jpg.rf.8c77ed13627d4f4c8abf32c1c7573442.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 64, 596, 308], \"label\": \"wildfire\"},\n {\"box_2d\": [0, 653, 418, 835], \"label\": \"wildfire\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 1679, "elapsed_seconds": 24.828011500067078, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 24.9163}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 149, "image": "46_jpg.rf.ed53b85cf8112394121da4a88ce9efc4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [573, 150, 724, 213], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [529, 301, 650, 325], \"label\": \"resistor symbol\"},\n {\"box_2d\": [375, 376, 428, 439], \"label\": \"resistor symbol\"},\n {\"box_2d\": [170, 471, 304, 531], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [571, 465, 718, 521], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [381, 561, 439, 637], \"label\": \"resistor symbol\"},\n {\"box_2d\": [530, 668, 694, 695], \"label\": \"resistor symbol\"},\n {\"box_2d\": [602, 808, 728, 860], \"label\": \"dc current source symbol\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 1049, "elapsed_seconds": 12.327648291015066, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 12.4006}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 150, "image": "Lego_131_low_jpeg.rf.be14ef4b77b52f77c1ed45c59ee5b3a4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [187, 34, 286, 149], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [145, 146, 219, 254], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [125, 274, 212, 391], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [247, 229, 336, 319], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [224, 310, 305, 425], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [42, 439, 138, 551], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [64, 617, 152, 694], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [149, 622, 237, 695], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [0, 729, 69, 795], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [273, 507, 353, 597], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [250, 651, 326, 746], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [183, 930, 285, 986], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [371, 267, 466, 332], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [436, 281, 537, 357], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [514, 161, 598, 263], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [518, 330, 598, 405], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [450, 526, 494, 629], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [636, 190, 705, 297], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [698, 170, 766, 278], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [813, 261, 906, 373], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [597, 369, 663, 458], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [658, 342, 718, 449], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [714, 386, 793, 470], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [680, 440, 766, 526], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [788, 425, 865, 515], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [745, 596, 833, 678], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [352, 684, 449, 746], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [373, 728, 476, 807], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [467, 747, 569, 833], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [442, 798, 542, 891], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [533, 818, 601, 898], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [456, 946, 547, 1000], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [686, 916, 785, 999], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [754, 787, 861, 882], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [814, 729, 881, 825], \"label\": \"lego 4x1 brick\"}\n]\n```", "correct": true, "input_tokens": 1244, "output_tokens": 3166, "elapsed_seconds": 22.083471665973775, "metadata": {"match_method": "map", "num_predictions": 35, "num_ground_truth": 35, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8873172998428345, "attempts": 1, "retries": 0, "total_seconds": 22.1421}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 151, "image": "IMG_6677_jpeg_jpg.rf.66bd4292eb85ae8da61a8cef3e3384f8.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [373, 30, 460, 245], \"label\": \"green poker chip\"},\n {\"box_2d\": [402, 52, 476, 255], \"label\": \"green poker chip\"},\n {\"box_2d\": [423, 51, 494, 259], \"label\": \"green poker chip\"},\n {\"box_2d\": [452, 51, 509, 255], \"label\": \"green poker chip\"},\n {\"box_2d\": [469, 52, 524, 253], \"label\": \"green poker chip\"},\n {\"box_2d\": [480, 52, 540, 255], \"label\": \"green poker chip\"},\n {\"box_2d\": [498, 53, 557, 253], \"label\": \"green poker chip\"},\n {\"box_2d\": [517, 54, 574, 253], \"label\": \"green poker chip\"},\n {\"box_2d\": [535, 56, 591, 250], \"label\": \"green poker chip\"},\n {\"box_2d\": [547, 53, 609, 247], \"label\": \"green poker chip\"},\n {\"box_2d\": [369, 290, 455, 489], \"label\": \"orange poker chip\"},\n {\"box_2d\": [419, 295, 474, 490], \"label\": \"orange poker chip\"},\n {\"box_2d\": [435, 296, 492, 490], \"label\": \"orange poker chip\"},\n {\"box_2d\": [456, 296, 511, 488], \"label\": \"orange poker chip\"},\n {\"box_2d\": [472, 296, 527, 488], \"label\": \"orange poker chip\"},\n {\"box_2d\": [491, 296, 545, 484], \"label\": \"orange poker chip\"},\n {\"box_2d\": [506, 297, 562, 484], \"label\": \"orange poker chip\"},\n {\"box_2d\": [521, 298, 577, 484], \"label\": \"orange poker chip\"},\n {\"box_2d\": [531, 303, 591, 487], \"label\": \"orange poker chip\"},\n {\"box_2d\": [535, 312, 608, 492], \"label\": \"orange poker chip\"},\n {\"box_2d\": [462, 532, 560, 718], \"label\": \"orange poker chip\"},\n {\"box_2d\": [498, 524, 579, 710], \"label\": \"orange poker chip\"},\n {\"box_2d\": [530, 522, 613, 714], \"label\": \"orange poker chip\"},\n {\"box_2d\": [449, 708, 542, 902], \"label\": \"green poker chip\"},\n {\"box_2d\": [501, 718, 579, 922], \"label\": \"green poker chip\"},\n {\"box_2d\": [525, 725, 602, 932], \"label\": \"green poker chip\"}\n]\n```", "correct": true, "input_tokens": 1231, "output_tokens": 3387, "elapsed_seconds": 30.432237458997406, "metadata": {"match_method": "map", "num_predictions": 26, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 30.4497}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 152, "image": "indir-1-_jpeg_jpg.rf.8d614705afcf35f2ac222aa7d9e608ff.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [427, 154, 514, 289], \"label\": \"dimension annotation\"},\n {\"box_2d\": [446, 626, 502, 728], \"label\": \"dimension annotation\"},\n {\"box_2d\": [564, 158, 646, 307], \"label\": \"dimension annotation\"},\n {\"box_2d\": [610, 654, 660, 749], \"label\": \"dimension annotation\"},\n {\"box_2d\": [669, 337, 700, 533], \"label\": \"dimension annotation\"},\n {\"box_2d\": [749, 196, 795, 272], \"label\": \"dimension annotation\"},\n {\"box_2d\": [761, 139, 798, 189], \"label\": \"dimension annotation\"},\n {\"box_2d\": [825, 315, 868, 429], \"label\": \"dimension annotation\"},\n {\"box_2d\": [766, 611, 797, 676], \"label\": \"dimension annotation\"},\n {\"box_2d\": [774, 686, 817, 725], \"label\": \"dimension annotation\"},\n {\"box_2d\": [796, 686, 825, 760], \"label\": \"dimension annotation\"},\n {\"box_2d\": [726, 598, 758, 760], \"label\": \"dimension annotation\"},\n {\"box_2d\": [726, 598, 825, 810], \"label\": \"dimension annotation\"},\n {\"box_2d\": [825, 626, 868, 757], \"label\": \"dimension annotation\"},\n {\"box_2d\": [914, 208, 984, 977], \"label\": \"technical drawing table\"}\n]\n```", "correct": false, "input_tokens": 1233, "output_tokens": 1979, "elapsed_seconds": 20.197614000062458, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.4999999403953552, "attempts": 1, "retries": 0, "total_seconds": 20.2079}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 153, "image": "1217_4_jpg.rf.834d702ab7cd425111d5c60612f66627.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [6, 36, 108, 130], \"label\": \"black rook\"},\n {\"box_2d\": [26, 132, 118, 240], \"label\": \"black knight\"},\n {\"box_2d\": [16, 285, 118, 374], \"label\": \"black bishop\"},\n {\"box_2d\": [0, 404, 121, 493], \"label\": \"black king\"},\n {\"box_2d\": [0, 526, 120, 613], \"label\": \"black queen\"},\n {\"box_2d\": [25, 654, 128, 745], \"label\": \"black bishop\"},\n {\"box_2d\": [5, 769, 114, 880], \"label\": \"black knight\"},\n {\"box_2d\": [14, 898, 115, 1000], \"label\": \"black rook\"},\n {\"box_2d\": [162, 35, 234, 113], \"label\": \"black pawn\"},\n {\"box_2d\": [162, 181, 234, 252], \"label\": \"black pawn\"},\n {\"box_2d\": [159, 285, 231, 356], \"label\": \"black pawn\"},\n {\"box_2d\": [173, 412, 244, 482], \"label\": \"black pawn\"},\n {\"box_2d\": [170, 545, 241, 616], \"label\": \"black pawn\"},\n {\"box_2d\": [166, 651, 237, 722], \"label\": \"black pawn\"},\n {\"box_2d\": [162, 762, 234, 835], \"label\": \"black pawn\"},\n {\"box_2d\": [150, 891, 223, 972], \"label\": \"black pawn\"},\n {\"box_2d\": [772, 17, 843, 96], \"label\": \"white pawn\"},\n {\"box_2d\": [772, 159, 845, 231], \"label\": \"white pawn\"},\n {\"box_2d\": [766, 278, 838, 350], \"label\": \"white pawn\"},\n {\"box_2d\": [769, 396, 842, 468], \"label\": \"white pawn\"},\n {\"box_2d\": [758, 498, 831, 569], \"label\": \"white pawn\"},\n {\"box_2d\": [772, 651, 845, 723], \"label\": \"white pawn\"},\n {\"box_2d\": [757, 773, 829, 847], \"label\": \"white pawn\"},\n {\"box_2d\": [756, 876, 829, 956], \"label\": \"white pawn\"},\n {\"box_2d\": [882, 12, 978, 108], \"label\": \"white rook\"},\n {\"box_2d\": [890, 123, 987, 233], \"label\": \"white knight\"},\n {\"box_2d\": [887, 276, 991, 366], \"label\": \"white bishop\"},\n {\"box_2d\": [872, 388, 995, 478], \"label\": \"white king\"},\n {\"box_2d\": [879, 514, 999, 601], \"label\": \"white queen\"},\n {\"box_2d\": [873, 634, 976, 725], \"label\": \"white bishop\"},\n {\"box_2d\": [891, 764, 983, 866], \"label\": \"white knight\"},\n {\"box_2d\": [876, 886, 975, 991], \"label\": \"white rook\"}\n]\n```", "correct": true, "input_tokens": 1259, "output_tokens": 2442, "elapsed_seconds": 29.514274167013355, "metadata": {"match_method": "map", "num_predictions": 32, "num_ground_truth": 32, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 29.7045}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 154, "image": "123_jpg.rf.dd57cefde1b1d657a6704903a0c29594.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [168, 325, 200, 378], \"label\": \"resistor symbol\"},\n {\"box_2d\": [159, 623, 190, 683], \"label\": \"resistor symbol\"},\n {\"box_2d\": [273, 208, 350, 245], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [266, 439, 336, 474], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [228, 804, 323, 849], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [454, 324, 488, 375], \"label\": \"resistor symbol\"},\n {\"box_2d\": [445, 655, 482, 704], \"label\": \"resistor symbol\"},\n {\"box_2d\": [612, 213, 685, 238], \"label\": \"resistor symbol\"},\n {\"box_2d\": [636, 446, 720, 495], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [594, 832, 667, 853], \"label\": \"resistor symbol\"},\n {\"box_2d\": [818, 311, 902, 359], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [828, 622, 857, 675], \"label\": \"resistor symbol\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 1640, "elapsed_seconds": 14.430955584044568, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 14.4399}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 155, "image": "Container_799_jpg.rf.18c1df3db98a6063d7285fb7c0ffd780.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [148, 306, 566, 330], \"label\": \"shipping container number\"},\n {\"box_2d\": [137, 351, 285, 365], \"label\": \"container ISO type code\"},\n {\"box_2d\": [225, 804, 264, 945], \"label\": \"shipping container number\"},\n {\"box_2d\": [271, 865, 305, 904], \"label\": \"container ISO type code\"}\n]\n```", "correct": true, "input_tokens": 1232, "output_tokens": 779, "elapsed_seconds": 8.013128457940184, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 8.025}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 156, "image": "08fd33_0_1_png_jpg.rf.49b1ec7a3f580266e0267dce06883980.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [465, 148, 505, 159], \"label\": \"goalkeeper\"},\n {\"box_2d\": [413, 250, 452, 260], \"label\": \"player\"},\n {\"box_2d\": [606, 339, 619, 347], \"label\": \"football\"},\n {\"box_2d\": [300, 326, 327, 335], \"label\": \"referee\"},\n {\"box_2d\": [340, 439, 372, 449], \"label\": \"player\"},\n {\"box_2d\": [481, 431, 527, 443], \"label\": \"player\"},\n {\"box_2d\": [527, 408, 565, 422], \"label\": \"player\"},\n {\"box_2d\": [612, 429, 665, 442], \"label\": \"player\"},\n {\"box_2d\": [374, 488, 412, 498], \"label\": \"referee\"},\n {\"box_2d\": [439, 491, 481, 504], \"label\": \"player\"},\n {\"box_2d\": [396, 509, 434, 518], \"label\": \"player\"},\n {\"box_2d\": [371, 533, 406, 542], \"label\": \"player\"},\n {\"box_2d\": [352, 626, 386, 636], \"label\": \"player\"},\n {\"box_2d\": [369, 630, 404, 640], \"label\": \"player\"},\n {\"box_2d\": [399, 606, 437, 616], \"label\": \"player\"},\n {\"box_2d\": [416, 623, 456, 635], \"label\": \"player\"},\n {\"box_2d\": [448, 617, 494, 626], \"label\": \"player\"},\n {\"box_2d\": [386, 661, 424, 670], \"label\": \"player\"},\n {\"box_2d\": [416, 647, 456, 657], \"label\": \"player\"},\n {\"box_2d\": [503, 627, 548, 637], \"label\": \"player\"},\n {\"box_2d\": [465, 705, 511, 719], \"label\": \"player\"},\n {\"box_2d\": [602, 680, 654, 694], \"label\": \"player\"},\n {\"box_2d\": [573, 773, 613, 787], \"label\": \"player\"},\n {\"box_2d\": [630, 836, 681, 850], \"label\": \"player\"},\n {\"box_2d\": [645, 825, 703, 843], \"label\": \"referee\"},\n {\"box_2d\": [402, 907, 444, 918], \"label\": \"goalkeeper\"}\n]\n```", "correct": true, "input_tokens": 1242, "output_tokens": 2858, "elapsed_seconds": 23.85645912506152, "metadata": {"match_method": "map", "num_predictions": 26, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 23.9529}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 157, "image": "Lego_122_low_jpeg.rf.ea0402c215977271fc16971fe6cad37a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [77, 192, 155, 310], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [138, 365, 246, 443], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [188, 466, 286, 576], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [214, 591, 313, 648], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [100, 651, 211, 749], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [60, 777, 155, 861], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [95, 833, 196, 936], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [267, 315, 355, 408], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [346, 321, 444, 385], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [340, 183, 437, 260], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [378, 55, 459, 160], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [508, 135, 599, 253], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [339, 472, 443, 554], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [374, 680, 462, 766], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [335, 747, 439, 829], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [326, 939, 427, 1000], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [551, 537, 641, 626], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [554, 628, 627, 713], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [609, 687, 690, 741], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [627, 403, 710, 480], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [709, 391, 814, 481], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [710, 452, 797, 538], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [748, 550, 827, 608], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [784, 187, 870, 286], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [636, 739, 709, 843], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [690, 780, 785, 851], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [679, 827, 767, 931], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [601, 913, 675, 965], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [779, 873, 862, 933], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [760, 946, 856, 1000], \"label\": \"lego 4x1 brick\"}\n]\n```", "correct": true, "input_tokens": 1244, "output_tokens": 3294, "elapsed_seconds": 32.754830415942706, "metadata": {"match_method": "map", "num_predictions": 30, "num_ground_truth": 30, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 32.8244}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 158, "image": "20230220_110126_jpg.rf.9dd19de1f35f973245770a80a67f5a86.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [470, 36, 493, 127], \"label\": \"crack\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 383, "elapsed_seconds": 6.801091458066367, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 6.8174}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 159, "image": "20230224_102553_jpg.rf.405f8900643fe92cf5dde61e03ca7cd9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [600, 817, 691, 910], \"label\": \"crack\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 306, "elapsed_seconds": 6.0523518330883235, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 6.0751}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 160, "image": "40_jpg.rf.9c5565949caf7c10eef3c765c461dcc3.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [34, 165, 355, 220], \"label\": \"blood sample tube\"},\n {\"box_2d\": [209, 168, 513, 265], \"label\": \"blood sample tube\"},\n {\"box_2d\": [392, 155, 695, 276], \"label\": \"blood sample tube\"},\n {\"box_2d\": [153, 255, 467, 336], \"label\": \"blood sample tube\"},\n {\"box_2d\": [35, 316, 156, 549], \"label\": \"blood sample tube\"},\n {\"box_2d\": [27, 504, 93, 745], \"label\": \"blood sample tube\"},\n {\"box_2d\": [87, 594, 159, 845], \"label\": \"blood sample tube\"},\n {\"box_2d\": [142, 476, 469, 535], \"label\": \"blood sample tube\"},\n {\"box_2d\": [142, 534, 444, 667], \"label\": \"blood sample tube\"},\n {\"box_2d\": [196, 581, 428, 790], \"label\": \"blood sample tube\"},\n {\"box_2d\": [396, 370, 567, 597], \"label\": \"blood sample tube\"},\n {\"box_2d\": [386, 551, 504, 799], \"label\": \"blood sample tube\"},\n {\"box_2d\": [427, 595, 550, 840], \"label\": \"blood sample tube\"},\n {\"box_2d\": [264, 767, 560, 927], \"label\": \"blood sample tube\"},\n {\"box_2d\": [70, 839, 398, 896], \"label\": \"blood sample tube\"},\n {\"box_2d\": [142, 886, 468, 940], \"label\": \"blood sample tube\"},\n {\"box_2d\": [517, 687, 650, 942], \"label\": \"blood sample tube\"},\n {\"box_2d\": [560, 664, 709, 913], \"label\": \"blood sample tube\"},\n {\"box_2d\": [600, 617, 738, 860], \"label\": \"blood sample tube\"},\n {\"box_2d\": [612, 480, 731, 731], \"label\": \"blood sample tube\"},\n {\"box_2d\": [673, 491, 741, 738], \"label\": \"blood sample tube\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 2492, "elapsed_seconds": 23.147082458017394, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 21, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 23.166}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 161, "image": "car-part-detection_Car-damages-765_png_jpg.rf.98f80e9f33638af692acb0b18adddcfd.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [139, 130, 288, 219], \"label\": \"back window\"},\n {\"box_2d\": [140, 211, 328, 323], \"label\": \"front window\"},\n {\"box_2d\": [298, 211, 356, 326], \"label\": \"mirror\"},\n {\"box_2d\": [244, 114, 512, 218], \"label\": \"back door\"},\n {\"box_2d\": [288, 193, 619, 333], \"label\": \"front door\"},\n {\"box_2d\": [126, 307, 344, 675], \"label\": \"windshield\"},\n {\"box_2d\": [251, 391, 551, 909], \"label\": \"hood\"},\n {\"box_2d\": [507, 509, 626, 740], \"label\": \"headlight\"},\n {\"box_2d\": [547, 504, 895, 930], \"label\": \"front bumper\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 1547, "elapsed_seconds": 16.983215791988187, "metadata": {"match_method": "map", "num_predictions": 9, "num_ground_truth": 13, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7281727194786072, "attempts": 1, "retries": 0, "total_seconds": 16.9944}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 162, "image": "frame_0089_jpg.rf.c7cd5f3b9d3ee6d5f30b8357b148d8d4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [236, 325, 280, 352], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [248, 381, 294, 410], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [257, 441, 303, 470], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [280, 502, 326, 529], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [336, 313, 384, 339], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [350, 370, 400, 399], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [362, 430, 412, 459], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [382, 493, 431, 521], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [443, 305, 493, 332], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [460, 364, 513, 393], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [472, 424, 525, 454], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [496, 487, 548, 517], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [917, 291, 967, 317], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [928, 351, 978, 379], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [940, 414, 991, 443], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [949, 480, 998, 509], \"label\": \"soda bottle cap\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 1542, "elapsed_seconds": 18.68744745803997, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 19.0819}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 163, "image": "IMG_5103_JPG.rf.05aa0caa3f6431dd232e7223cc79a35a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [608, 272, 654, 297], \"label\": \"face\"},\n {\"box_2d\": [645, 324, 691, 349], \"label\": \"face\"},\n {\"box_2d\": [696, 398, 747, 427], \"label\": \"face\"},\n {\"box_2d\": [357, 353, 382, 365], \"label\": \"face\"},\n {\"box_2d\": [363, 386, 387, 398], \"label\": \"face\"},\n {\"box_2d\": [370, 404, 396, 417], \"label\": \"face\"},\n {\"box_2d\": [421, 540, 448, 554], \"label\": \"face\"},\n {\"box_2d\": [427, 575, 453, 589], \"label\": \"face\"},\n {\"box_2d\": [441, 619, 469, 634], \"label\": \"face\"},\n {\"box_2d\": [392, 559, 417, 573], \"label\": \"face\"},\n {\"box_2d\": [398, 605, 423, 619], \"label\": \"face\"},\n {\"box_2d\": [421, 646, 448, 661], \"label\": \"face\"},\n {\"box_2d\": [428, 688, 456, 702], \"label\": \"face\"},\n {\"box_2d\": [437, 714, 463, 728], \"label\": \"face\"},\n {\"box_2d\": [458, 772, 486, 785], \"label\": \"face\"},\n {\"box_2d\": [383, 666, 408, 679], \"label\": \"face\"},\n {\"box_2d\": [375, 628, 396, 640], \"label\": \"face\"},\n {\"box_2d\": [375, 603, 397, 615], \"label\": \"face\"},\n {\"box_2d\": [369, 715, 392, 727], \"label\": \"face\"},\n {\"box_2d\": [365, 680, 388, 691], \"label\": \"face\"},\n {\"box_2d\": [331, 502, 353, 513], \"label\": \"face\"},\n {\"box_2d\": [329, 471, 353, 484], \"label\": \"face\"},\n {\"box_2d\": [344, 618, 367, 630], \"label\": \"face\"},\n {\"box_2d\": [345, 653, 367, 665], \"label\": \"face\"},\n {\"box_2d\": [327, 663, 349, 674], \"label\": \"face\"},\n {\"box_2d\": [324, 634, 347, 645], \"label\": \"face\"},\n {\"box_2d\": [334, 755, 357, 767], \"label\": \"face\"},\n {\"box_2d\": [342, 725, 366, 737], \"label\": \"face\"},\n {\"box_2d\": [286, 420, 307, 430], \"label\": \"face\"},\n {\"box_2d\": [290, 441, 311, 452], \"label\": \"face\"},\n {\"box_2d\": [300, 609, 321, 620], \"label\": \"face\"},\n {\"box_2d\": [300, 551, 322, 563], \"label\": \"face\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 3085, "elapsed_seconds": 30.906142124906182, "metadata": {"match_method": "map", "num_predictions": 32, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.4918023943901062, "attempts": 1, "retries": 0, "total_seconds": 31.2239}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 164, "image": "fall-detection_camerathree-second_mp4-114_jpg.rf.8d4ab219233d1b243e3602fc397d1bfa.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [580, 357, 667, 588], \"label\": \"fallen person\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 240, "elapsed_seconds": 4.806959167006426, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 4.822}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 165, "image": "lot301_JPEG_jpg.rf.190ac2533508d09b091e542956d526a5.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [162, 424, 198, 460], \"label\": \"chicory seed\"},\n {\"box_2d\": [168, 583, 205, 619], \"label\": \"chicory seed\"},\n {\"box_2d\": [182, 344, 210, 384], \"label\": \"chicory seed\"},\n {\"box_2d\": [184, 439, 219, 476], \"label\": \"chicory seed\"},\n {\"box_2d\": [181, 466, 207, 509], \"label\": \"chicory seed\"},\n {\"box_2d\": [194, 496, 220, 537], \"label\": \"chicory seed\"},\n {\"box_2d\": [196, 619, 221, 664], \"label\": \"chicory seed\"},\n {\"box_2d\": [202, 567, 230, 610], \"label\": \"chicory seed\"},\n {\"box_2d\": [196, 369, 236, 396], \"label\": \"chicory seed\"},\n {\"box_2d\": [210, 341, 245, 379], \"label\": \"chicory seed\"},\n {\"box_2d\": [214, 291, 244, 335], \"label\": \"chicory seed\"},\n {\"box_2d\": [211, 405, 231, 449], \"label\": \"chicory seed\"},\n {\"box_2d\": [219, 532, 246, 573], \"label\": \"chicory seed\"},\n {\"box_2d\": [218, 608, 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\"label\": \"chicory seed\"},\n {\"box_2d\": [619, 600, 649, 642], \"label\": \"chicory seed\"},\n {\"box_2d\": [610, 636, 653, 663], \"label\": \"chicory seed\"},\n {\"box_2d\": [613, 668, 657, 693], \"label\": \"chicory seed\"},\n {\"box_2d\": [617, 804, 651, 841], \"label\": \"chicory seed\"},\n {\"box_2d\": [634, 522, 662, 566], \"label\": \"chicory seed\"},\n {\"box_2d\": [638, 572, 664, 613], \"label\": \"chicory seed\"},\n {\"box_2d\": [639, 608, 669, 648], \"label\": \"chicory seed\"},\n {\"box_2d\": [659, 516, 689, 557], \"label\": \"chicory seed\"},\n {\"box_2d\": [660, 556, 693, 592], \"label\": \"chicory seed\"},\n {\"box_2d\": [665, 585, 707, 615], \"label\": \"chicory seed\"},\n {\"box_2d\": [657, 640, 685, 681], \"label\": \"chicory seed\"},\n {\"box_2d\": [667, 614, 690, 659], \"label\": \"chicory seed\"},\n {\"box_2d\": [642, 682, 684, 713], \"label\": \"chicory seed\"},\n {\"box_2d\": [642, 726, 684, 753], \"label\": \"chicory seed\"},\n {\"box_2d\": [655, 769, 680, 813], \"label\": \"chicory seed\"},\n {\"box_2d\": [661, 749, 701, 774], \"label\": \"chicory seed\"},\n {\"box_2d\": [669, 684, 703, 723], \"label\": \"chicory seed\"},\n {\"box_2d\": [683, 647, 717, 687], \"label\": \"chicory seed\"},\n {\"box_2d\": [688, 593, 719, 637], \"label\": \"chicory seed\"},\n {\"box_2d\": [693, 567, 729, 596], \"label\": \"chicory seed\"},\n {\"box_2d\": [693, 715, 729, 752], \"label\": \"chicory seed\"},\n {\"box_2d\": [699, 743, 722, 786], \"label\": \"chicory seed\"},\n {\"box_2d\": [711, 763, 735, 806], \"label\": \"chicory seed\"},\n {\"box_2d\": [720, 739, 759, 771], \"label\": \"chicory seed\"},\n {\"box_2d\": [646, 290, 689, 319], \"label\": \"chicory seed\"},\n {\"box_2d\": [656, 194, 688, 236], \"label\": \"chicory seed\"},\n {\"box_2d\": [668, 208, 698, 253], \"label\": \"chicory seed\"},\n {\"box_2d\": [660, 251, 703, 280], \"label\": \"chicory seed\"},\n {\"box_2d\": [666, 267, 705, 296], \"label\": \"chicory seed\"},\n {\"box_2d\": [660, 353, 695, 390], \"label\": \"chicory seed\"},\n {\"box_2d\": [676, 326, 705, 369], \"label\": \"chicory seed\"},\n {\"box_2d\": [675, 406, 698, 451], \"label\": \"chicory seed\"},\n {\"box_2d\": [672, 455, 695, 499], \"label\": \"chicory seed\"},\n {\"box_2d\": [683, 368, 719, 409], \"label\": \"chicory seed\"},\n {\"box_2d\": [693, 211, 717, 254], \"label\": \"chicory seed\"},\n {\"box_2d\": [688, 291, 727, 316], \"label\": \"chicory seed\"},\n {\"box_2d\": [694, 315, 735, 350], \"label\": \"chicory seed\"},\n {\"box_2d\": [698, 433, 736, 467], \"label\": \"chicory seed\"},\n {\"box_2d\": [694, 464, 726, 505], \"label\": \"chicory seed\"},\n {\"box_2d\": [710, 250, 732, 293], \"label\": \"chicory seed\"},\n {\"box_2d\": [711, 349, 744, 388], \"label\": \"chicory seed\"},\n {\"box_2d\": [712, 381, 736, 426], \"label\": \"chicory seed\"},\n {\"box_2d\": [714, 300, 757, 325], \"label\": \"chicory seed\"},\n {\"box_2d\": [725, 269, 761, 306], \"label\": \"chicory seed\"},\n {\"box_2d\": [732, 321, 765, 362], \"label\": \"chicory seed\"},\n {\"box_2d\": [734, 383, 759, 429], \"label\": \"chicory seed\"},\n {\"box_2d\": [742, 364, 773, 406], \"label\": \"chicory seed\"},\n {\"box_2d\": [737, 429, 763, 474], \"label\": \"chicory seed\"},\n {\"box_2d\": [732, 467, 771, 503], \"label\": \"chicory seed\"},\n {\"box_2d\": [708, 519, 752, 545], \"label\": \"chicory seed\"},\n {\"box_2d\": [721, 582, 746, 625], \"label\": \"chicory seed\"},\n {\"box_2d\": [718, 640, 743, 682], \"label\": \"chicory seed\"},\n {\"box_2d\": [733, 636, 776, 663], \"label\": \"chicory seed\"},\n {\"box_2d\": [743, 660, 785, 685], \"label\": \"chicory seed\"},\n {\"box_2d\": [732, 554, 772, 587], \"label\": \"chicory seed\"},\n {\"box_2d\": [754, 563, 784, 606], \"label\": \"chicory seed\"},\n {\"box_2d\": [750, 489, 775, 532], \"label\": \"chicory seed\"},\n {\"box_2d\": [752, 523, 795, 552], \"label\": \"chicory seed\"},\n {\"box_2d\": [756, 287, 785, 329], \"label\": \"chicory seed\"},\n {\"box_2d\": [746, 341, 790, 365], \"label\": \"chicory seed\"},\n {\"box_2d\": [775, 299, 798, 344], \"label\": \"chicory seed\"},\n {\"box_2d\": [768, 365, 810, 395], \"label\": \"chicory seed\"},\n {\"box_2d\": [758, 411, 798, 439], \"label\": \"chicory seed\"},\n {\"box_2d\": [775, 393, 811, 433], \"label\": \"chicory seed\"},\n {\"box_2d\": [774, 440, 801, 484], \"label\": \"chicory seed\"},\n {\"box_2d\": [776, 479, 811, 511], \"label\": \"chicory seed\"},\n {\"box_2d\": [787, 330, 810, 376], \"label\": \"chicory seed\"},\n {\"box_2d\": [806, 358, 835, 402], \"label\": \"chicory seed\"},\n {\"box_2d\": [802, 394, 837, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [793, 434, 819, 476], \"label\": \"chicory seed\"},\n {\"box_2d\": [810, 432, 848, 456], \"label\": \"chicory seed\"},\n {\"box_2d\": [800, 480, 836, 513], \"label\": \"chicory seed\"},\n {\"box_2d\": [824, 454, 853, 495], \"label\": \"chicory seed\"},\n {\"box_2d\": [782, 530, 816, 569], \"label\": \"chicory seed\"},\n {\"box_2d\": [773, 594, 809, 634], \"label\": \"chicory seed\"},\n {\"box_2d\": [791, 577, 816, 622], \"label\": \"chicory seed\"},\n {\"box_2d\": [791, 638, 829, 675], \"label\": \"chicory seed\"},\n {\"box_2d\": [766, 696, 805, 729], \"label\": \"chicory seed\"},\n {\"box_2d\": [806, 548, 846, 574], \"label\": \"chicory seed\"},\n {\"box_2d\": [815, 530, 853, 555], \"label\": \"chicory seed\"},\n {\"box_2d\": [811, 594, 837, 638], \"label\": \"chicory seed\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 18489, "elapsed_seconds": 109.89638012496289, "metadata": {"match_method": "map", "num_predictions": 303, "num_ground_truth": 303, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3366336524486542, "attempts": 1, "retries": 0, "total_seconds": 110.0316}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 166, "image": "9pro_tire_2024-10-17_2_png_jpg.rf.4f51ee46ba892a991a30327b934d13a9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [75, 198, 185, 398], \"label\": \"tire size text\"},\n {\"box_2d\": [806, 676, 875, 760], \"label\": \"tire size text\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 638, "elapsed_seconds": 12.41635745903477, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 12.6294}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 167, "image": "2024-12-05T02-00-56-789Z-1004_jpg.rf.16e81306ce0ce847c1fdd836e6752b92.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [243, 0, 658, 152], \"label\": \"velcro cable tie\"},\n {\"box_2d\": [628, 149, 674, 181], \"label\": \"screw\"},\n {\"box_2d\": [649, 524, 686, 563], \"label\": \"screw\"},\n {\"box_2d\": [429, 868, 502, 926], \"label\": \"screw\"}\n]\n```", "correct": false, "input_tokens": 1204, "output_tokens": 888, "elapsed_seconds": 18.50346570799593, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6666666269302368, "attempts": 1, "retries": 0, "total_seconds": 18.7136}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 168, "image": "45_png.rf.5c5cd31ecf12f414c9d6c446b6599fc0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [54, 240, 88, 299], \"label\": \"not gate symbol\"},\n {\"box_2d\": [99, 424, 148, 525], \"label\": \"and gate symbol\"},\n {\"box_2d\": [87, 789, 137, 888], \"label\": \"or gate symbol\"},\n {\"box_2d\": [297, 552, 359, 631], \"label\": \"and gate symbol\"},\n {\"box_2d\": [297, 668, 358, 747], \"label\": \"and gate symbol\"},\n {\"box_2d\": [362, 789, 412, 886], \"label\": \"or gate symbol\"},\n {\"box_2d\": [583, 574, 645, 653], \"label\": \"and gate symbol\"},\n {\"box_2d\": [583, 690, 645, 769], \"label\": \"and gate symbol\"},\n {\"box_2d\": [649, 809, 699, 908], \"label\": \"or gate symbol\"},\n {\"box_2d\": [871, 591, 933, 670], \"label\": \"and gate symbol\"},\n {\"box_2d\": [871, 706, 932, 785], \"label\": \"and gate symbol\"},\n {\"box_2d\": [940, 809, 990, 908], \"label\": \"or gate symbol\"}\n]\n```", "correct": true, "input_tokens": 1264, "output_tokens": 1301, "elapsed_seconds": 10.720957207959145, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 10.7242}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 169, "image": "paper-parts_112786_53_jpg.rf.0483acf3782b23a87f49280c7a03b327.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [89, 176, 333, 667], \"label\": \"figure\"},\n {\"box_2d\": [371, 176, 424, 883], \"label\": \"figure caption\"},\n {\"box_2d\": [477, 176, 493, 207], \"label\": \"paragraph\"},\n {\"box_2d\": [523, 274, 540, 752], \"label\": \"equation\"},\n {\"box_2d\": [559, 274, 577, 711], \"label\": \"equation\"},\n {\"box_2d\": [596, 274, 614, 784], \"label\": \"equation\"},\n {\"box_2d\": [633, 274, 650, 734], \"label\": \"equation\"},\n {\"box_2d\": [669, 274, 687, 735], \"label\": \"equation\"},\n {\"box_2d\": [707, 274, 723, 529], \"label\": \"equation\"},\n {\"box_2d\": [756, 176, 869, 882], \"label\": \"paragraph\"},\n {\"box_2d\": [897, 519, 912, 539], \"label\": \"page number\"}\n]\n```", "correct": false, "input_tokens": 1248, "output_tokens": 1427, "elapsed_seconds": 14.449742625001818, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6003299951553345, "attempts": 1, "retries": 0, "total_seconds": 14.4817}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 170, "image": "signatures_image_21_png_jpg.rf.af64d00b20a92b8a4d92e9aefc5cd1f8.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [69, 217, 179, 405], \"label\": \"signature\"},\n {\"box_2d\": [300, 678, 389, 868], \"label\": \"signature\"},\n {\"box_2d\": [647, 511, 767, 736], \"label\": \"signature\"},\n {\"box_2d\": [832, 417, 945, 645], \"label\": \"signature\"},\n {\"box_2d\": [828, 650, 932, 852], \"label\": \"signature\"}\n]\n```", "correct": true, "input_tokens": 1252, "output_tokens": 1198, "elapsed_seconds": 12.930240167072043, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.800000011920929, "attempts": 1, "retries": 0, "total_seconds": 13.0289}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 171, "image": "1668146885__jpg.rf.3d8577f11d5831de64da2c2964b98050.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [142, 141, 193, 171], \"label\": \"two die\"},\n {\"box_2d\": [50, 204, 100, 234], \"label\": \"four die\"},\n {\"box_2d\": [172, 224, 229, 256], \"label\": \"two die\"},\n {\"box_2d\": [23, 353, 86, 386], \"label\": \"four die\"},\n {\"box_2d\": [392, 137, 452, 171], \"label\": \"three die\"},\n {\"box_2d\": [326, 212, 386, 245], \"label\": \"six die\"},\n {\"box_2d\": [378, 200, 436, 234], \"label\": \"six die\"},\n {\"box_2d\": [442, 215, 497, 247], \"label\": \"one die\"},\n {\"box_2d\": [515, 217, 574, 250], \"label\": \"three die\"},\n {\"box_2d\": [519, 272, 577, 305], \"label\": \"two die\"},\n {\"box_2d\": [380, 275, 440, 308], \"label\": \"four die\"},\n {\"box_2d\": [345, 317, 400, 349], \"label\": \"five die\"},\n {\"box_2d\": [625, 165, 677, 194], \"label\": \"two die\"},\n {\"box_2d\": [692, 224, 749, 257], \"label\": \"three die\"},\n {\"box_2d\": [728, 258, 785, 291], \"label\": \"four die\"},\n {\"box_2d\": [508, 467, 565, 500], \"label\": \"four die\"},\n {\"box_2d\": [596, 448, 645, 476], \"label\": \"two die\"},\n {\"box_2d\": [573, 495, 631, 528], \"label\": \"six die\"},\n {\"box_2d\": [622, 510, 680, 543], \"label\": \"four die\"},\n {\"box_2d\": [508, 537, 565, 571], \"label\": \"five die\"},\n {\"box_2d\": [558, 532, 610, 561], \"label\": \"two die\"},\n {\"box_2d\": [542, 559, 599, 591], \"label\": \"five die\"},\n {\"box_2d\": [614, 554, 671, 585], \"label\": \"two die\"},\n {\"box_2d\": [694, 583, 748, 614], \"label\": \"six die\"},\n {\"box_2d\": [448, 588, 496, 616], \"label\": \"three die\"},\n {\"box_2d\": [346, 545, 403, 577], \"label\": \"five die\"},\n {\"box_2d\": [304, 563, 353, 591], \"label\": \"six die\"},\n {\"box_2d\": [309, 596, 359, 624], \"label\": \"one die\"},\n {\"box_2d\": [193, 634, 255, 668], \"label\": \"six die\"},\n {\"box_2d\": [258, 632, 315, 665], \"label\": \"four die\"},\n {\"box_2d\": [290, 683, 349, 716], \"label\": \"two die\"},\n {\"box_2d\": [129, 710, 187, 744], \"label\": \"six die\"},\n {\"box_2d\": [105, 750, 163, 782], \"label\": \"three die\"},\n {\"box_2d\": [58, 790, 116, 822], \"label\": \"two die\"},\n {\"box_2d\": [375, 687, 434, 720], \"label\": \"three die\"},\n {\"box_2d\": [420, 660, 478, 693], \"label\": \"six die\"},\n {\"box_2d\": [474, 683, 532, 717], \"label\": \"three die\"},\n {\"box_2d\": [484, 715, 542, 748], \"label\": \"two die\"},\n {\"box_2d\": [653, 710, 711, 744], \"label\": \"two die\"},\n {\"box_2d\": [296, 788, 355, 822], \"label\": \"three die\"},\n {\"box_2d\": [343, 778, 401, 812], \"label\": \"four die\"},\n {\"box_2d\": [209, 883, 265, 917], \"label\": \"five die\"},\n {\"box_2d\": [302, 916, 362, 951], \"label\": \"three die\"},\n {\"box_2d\": [539, 804, 586, 833], \"label\": \"six die\"},\n {\"box_2d\": [611, 789, 658, 818], \"label\": \"six die\"},\n {\"box_2d\": [579, 828, 626, 856], \"label\": \"five die\"},\n {\"box_2d\": [678, 856, 729, 886], \"label\": \"six die\"}\n]\n```", "correct": true, "input_tokens": 1252, "output_tokens": 5070, "elapsed_seconds": 42.240581874968484, "metadata": {"match_method": "map", "num_predictions": 47, "num_ground_truth": 48, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9037028551101685, "attempts": 1, "retries": 0, "total_seconds": 42.2849}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 172, "image": "IMG_20220316_171754_jpg.rf.02842914dec30f998cea03868026b96a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [87, 192, 405, 487], \"label\": \"eight of clubs\"},\n {\"box_2d\": [285, 275, 646, 541], \"label\": \"seven of clubs\"},\n {\"box_2d\": [292, 421, 675, 738], \"label\": \"five of clubs\"},\n {\"box_2d\": [459, 518, 938, 922], \"label\": \"six of clubs\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 689, "elapsed_seconds": 9.683894374989904, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 9.71}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 173, "image": "39_jpg.rf.edb5339d00a37b75d6cf16c1f9a301ff.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [172, 165, 216, 206], \"label\": \"resistor symbol\"},\n {\"box_2d\": [349, 270, 451, 287], \"label\": \"resistor symbol\"},\n {\"box_2d\": [149, 353, 200, 405], \"label\": \"resistor symbol\"},\n {\"box_2d\": [773, 330, 838, 401], \"label\": \"resistor symbol\"},\n {\"box_2d\": [352, 480, 449, 498], \"label\": \"resistor symbol\"},\n {\"box_2d\": [317, 673, 421, 691], \"label\": \"resistor symbol\"},\n {\"box_2d\": [156, 767, 195, 811], \"label\": \"resistor symbol\"},\n {\"box_2d\": [434, 855, 544, 874], \"label\": \"resistor symbol\"},\n {\"box_2d\": [461, 60, 636, 125], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [118, 553, 211, 621], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [798, 272, 898, 299], \"label\": \"ground symbol\"}\n]\n```", "correct": true, "input_tokens": 1216, "output_tokens": 1929, "elapsed_seconds": 18.086378125008196, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 10, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 18.1587}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 174, "image": "99FB9DDE-58F9-4BBA-8CC2-48146BC0EBC5_jpg.rf.1cef29e3b05e7507a4b618bd8b857503.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [191, 249, 252, 310], \"label\": \"pill\"},\n {\"box_2d\": [182, 443, 244, 504], \"label\": \"pill\"},\n {\"box_2d\": [293, 200, 353, 265], \"label\": \"pill\"},\n {\"box_2d\": [270, 326, 330, 388], \"label\": \"pill\"},\n {\"box_2d\": [279, 450, 339, 510], \"label\": \"pill\"},\n {\"box_2d\": [353, 180, 413, 243], \"label\": \"pill\"},\n {\"box_2d\": [335, 283, 395, 345], \"label\": \"pill\"},\n {\"box_2d\": [320, 408, 379, 469], \"label\": \"pill\"},\n {\"box_2d\": [334, 469, 394, 529], \"label\": \"pill\"},\n {\"box_2d\": [416, 134, 476, 198], \"label\": \"pill\"},\n {\"box_2d\": [418, 244, 479, 306], \"label\": \"pill\"},\n {\"box_2d\": [385, 310, 445, 371], \"label\": \"pill\"},\n {\"box_2d\": [377, 390, 437, 451], \"label\": \"pill\"},\n {\"box_2d\": [399, 476, 459, 537], \"label\": \"pill\"},\n {\"box_2d\": [387, 544, 447, 606], \"label\": \"pill\"},\n {\"box_2d\": [404, 667, 465, 731], \"label\": \"pill\"},\n {\"box_2d\": [429, 611, 490, 675], \"label\": \"pill\"},\n {\"box_2d\": [450, 531, 510, 593], \"label\": \"pill\"},\n {\"box_2d\": [446, 439, 507, 500], \"label\": \"pill\"},\n {\"box_2d\": [444, 358, 505, 420], \"label\": \"pill\"},\n {\"box_2d\": [472, 303, 533, 365], \"label\": \"pill\"},\n {\"box_2d\": [514, 343, 575, 406], \"label\": \"pill\"},\n {\"box_2d\": [504, 413, 565, 475], \"label\": \"pill\"},\n {\"box_2d\": [489, 484, 549, 546], \"label\": \"pill\"},\n {\"box_2d\": [507, 559, 568, 622], \"label\": \"pill\"},\n {\"box_2d\": [552, 465, 613, 528], \"label\": \"pill\"},\n {\"box_2d\": [563, 530, 624, 593], \"label\": \"pill\"},\n {\"box_2d\": [620, 198, 683, 263], \"label\": \"pill\"},\n {\"box_2d\": [601, 281, 665, 345], \"label\": \"pill\"},\n {\"box_2d\": [592, 364, 654, 427], \"label\": \"pill\"},\n {\"box_2d\": [612, 449, 675, 512], \"label\": \"pill\"},\n {\"box_2d\": [635, 538, 699, 601], \"label\": \"pill\"},\n {\"box_2d\": [685, 762, 751, 829], \"label\": \"pill\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 3043, "elapsed_seconds": 29.004080582992174, "metadata": {"match_method": "map", "num_predictions": 33, "num_ground_truth": 33, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 29.3342}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 175, "image": "8a_tire_2024-10-17_62_png_jpg.rf.da90fbf7f0527f341a28f165c3e83dac.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [143, 346, 189, 437], \"label\": \"tire size text\"},\n {\"box_2d\": [461, 57, 658, 95], \"label\": \"tire size text\"},\n {\"box_2d\": [457, 913, 648, 949], \"label\": \"tire size text\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 798, "elapsed_seconds": 13.266800374956802, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 13.6257}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 176, "image": "frame_0002_03_jpg.rf.dda0be95dbf94773efee5983feb50582.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [464, 330, 523, 359], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [474, 399, 535, 429], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [483, 474, 543, 504], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [489, 546, 549, 577], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [592, 327, 650, 357], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [604, 398, 667, 428], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [609, 470, 673, 501], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [617, 543, 677, 576], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [719, 320, 777, 351], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [735, 389, 796, 420], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [743, 461, 804, 493], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [750, 535, 811, 567], \"label\": \"soda bottle cap\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 1309, "elapsed_seconds": 29.64626887498889, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 30.0588}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 177, "image": "f77_jpg.rf.82279850cbac861dc93376eb2c7be55d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 58, 445, 245], \"label\": \"wildfire\"},\n {\"box_2d\": [0, 746, 720, 1000], \"label\": \"wildfire\"},\n {\"box_2d\": [153, 296, 196, 315], \"label\": \"wildfire\"},\n {\"box_2d\": [485, 642, 523, 661], \"label\": \"wildfire\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 1770, "elapsed_seconds": 26.092503749998286, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.20297029614448547, "attempts": 1, "retries": 0, "total_seconds": 26.185}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 178, "image": "1219_48_jpg.rf.d6aecd0b221112666e45beae667e3572.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 8, 126, 130], \"label\": \"white king\"},\n {\"box_2d\": [4, 385, 127, 474], \"label\": \"white queen\"},\n {\"box_2d\": [15, 891, 118, 996], \"label\": \"white bishop\"},\n {\"box_2d\": [143, 385, 237, 477], \"label\": \"white bishop\"},\n {\"box_2d\": [280, 646, 353, 722], \"label\": \"white pawn\"},\n {\"box_2d\": [396, 275, 487, 368], \"label\": \"black king\"},\n {\"box_2d\": [398, 517, 480, 602], \"label\": \"white rook\"},\n {\"box_2d\": [396, 767, 482, 879], \"label\": \"black queen\"},\n {\"box_2d\": [497, 770, 577, 864], \"label\": \"black rook\"},\n {\"box_2d\": [514, 270, 597, 357], \"label\": \"white knight\"},\n {\"box_2d\": [521, 636, 602, 735], \"label\": \"black knight\"},\n {\"box_2d\": [533, 144, 614, 235], \"label\": \"black rook\"},\n {\"box_2d\": [636, 7, 718, 117], \"label\": \"black knight\"},\n {\"box_2d\": [647, 526, 731, 622], \"label\": \"white knight\"},\n {\"box_2d\": [666, 750, 740, 829], \"label\": \"black pawn\"},\n {\"box_2d\": [747, 253, 839, 345], \"label\": \"black bishop\"},\n {\"box_2d\": [866, 276, 985, 369], \"label\": \"black queen\"}\n]\n```", "correct": true, "input_tokens": 1259, "output_tokens": 2070, "elapsed_seconds": 22.612807624973357, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 17, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 22.8007}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 179, "image": "f27_jpg.rf.b153b2c59a95b68f3f9edb924d42cee4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [50, 240, 416, 395], \"label\": \"wildfire\"},\n {\"box_2d\": [603, 177, 942, 394], \"label\": \"wildfire\"},\n {\"box_2d\": [207, 599, 444, 723], \"label\": \"wildfire\"},\n {\"box_2d\": [640, 674, 744, 736], \"label\": \"wildfire\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 1595, "elapsed_seconds": 24.60134845797438, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 24.6913}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 180, "image": "img_461922717831528641_png.rf.c1eccbe6f38478b43fbba2e4cba33ac0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [58, 179, 171, 323], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [152, 169, 270, 320], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [253, 157, 376, 314], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [360, 143, 486, 307], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [475, 129, 602, 299], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [597, 112, 725, 290], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [725, 89, 865, 279], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [860, 76, 1000, 267], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [28, 319, 134, 452], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [120, 310, 232, 453], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [217, 305, 333, 452], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [320, 296, 442, 449], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [432, 290, 556, 446], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [551, 281, 675, 442], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [674, 270, 804, 438], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [803, 256, 956, 434], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [68, 443, 178, 583], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [164, 439, 277, 583], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [264, 440, 381, 587], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [368, 434, 488, 589], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [479, 430, 602, 590], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [599, 429, 723, 593], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [723, 423, 858, 595], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [855, 421, 1000, 596], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [36, 575, 144, 710], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [129, 572, 240, 716], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [223, 574, 340, 720], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [326, 574, 447, 726], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [434, 573, 556, 732], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [549, 570, 673, 742], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [672, 573, 801, 751], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [801, 576, 953, 761], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [79, 697, 189, 839], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [169, 696, 286, 848], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [269, 700, 389, 858], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [372, 704, 495, 869], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [484, 708, 605, 882], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [601, 717, 724, 902], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [723, 725, 859, 916], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [850, 742, 1000, 936], \"label\": \"empty portable gas cylinder\"}\n]\n```", "correct": false, "input_tokens": 1208, "output_tokens": 3112, "elapsed_seconds": 29.72140383394435, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 40, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.4101485311985016, "attempts": 1, "retries": 0, "total_seconds": 29.8001}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 181, "image": "20230113_134921_jpg.rf.98498c853848c0b93af6274d6758c4d5.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [520, 803, 539, 881], \"label\": \"crack\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 207, "elapsed_seconds": 4.678749625105411, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 4.6919}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 182, "image": "IMG_0618_jpeg.rf.efa7b9f1261718cff400e2cf104b3017.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [375, 240, 441, 307], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [498, 205, 588, 255], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [612, 244, 682, 327], \"label\": \"peach jelly bean\"},\n {\"box_2d\": [616, 403, 712, 474], \"label\": \"peach jelly bean\"},\n {\"box_2d\": [486, 346, 574, 408], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [358, 396, 430, 458], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [276, 461, 335, 526], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [607, 627, 712, 682], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [435, 521, 516, 584], \"label\": \"caramel corn jelly bean\"},\n {\"box_2d\": [344, 578, 418, 624], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [452, 694, 522, 772], \"label\": \"mixed berry smoothie jelly bean\"}\n]\n```", "correct": true, "input_tokens": 1230, "output_tokens": 1539, "elapsed_seconds": 22.196137917111628, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 2, "retries": 1, "total_seconds": 85.0736, "transient_errors": ["RemoteProtocolError"]}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 183, "image": "1668146875__jpg.rf.3051c36c0a756d3687be5c2fb0ad5141.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [573, 169, 622, 198], \"label\": \"four die\"},\n {\"box_2d\": [438, 217, 494, 250], \"label\": \"three die\"},\n {\"box_2d\": [229, 272, 289, 304], \"label\": \"six die\"},\n {\"box_2d\": [216, 296, 275, 329], \"label\": \"six die\"},\n {\"box_2d\": [269, 301, 326, 334], \"label\": \"six die\"},\n {\"box_2d\": [340, 301, 389, 328], \"label\": \"five die\"},\n {\"box_2d\": [302, 324, 355, 352], \"label\": \"four die\"},\n {\"box_2d\": [386, 311, 439, 340], \"label\": \"five die\"},\n {\"box_2d\": [348, 337, 398, 364], \"label\": \"five die\"},\n {\"box_2d\": [410, 340, 467, 372], \"label\": \"three die\"},\n {\"box_2d\": [297, 348, 349, 376], \"label\": \"six die\"},\n {\"box_2d\": [290, 372, 342, 401], \"label\": \"three die\"},\n {\"box_2d\": [338, 366, 390, 395], \"label\": \"four die\"},\n {\"box_2d\": [278, 395, 333, 424], \"label\": \"two die\"},\n {\"box_2d\": [199, 347, 260, 381], \"label\": \"four die\"},\n {\"box_2d\": [99, 361, 161, 396], \"label\": \"six die\"},\n {\"box_2d\": [111, 404, 171, 437], \"label\": \"two die\"},\n {\"box_2d\": [182, 388, 240, 420], \"label\": \"two die\"},\n {\"box_2d\": [180, 433, 241, 467], \"label\": \"six die\"},\n {\"box_2d\": [290, 515, 351, 549], \"label\": \"six die\"},\n {\"box_2d\": [360, 540, 418, 573], \"label\": \"two die\"},\n {\"box_2d\": [411, 491, 465, 522], \"label\": \"five die\"},\n {\"box_2d\": [512, 388, 571, 421], \"label\": \"four die\"},\n {\"box_2d\": [587, 380, 643, 412], \"label\": \"two die\"},\n {\"box_2d\": [528, 449, 588, 483], \"label\": \"three die\"},\n {\"box_2d\": [767, 324, 818, 353], \"label\": \"six die\"},\n {\"box_2d\": [814, 314, 868, 343], \"label\": \"five die\"},\n {\"box_2d\": [847, 372, 900, 401], \"label\": \"six die\"},\n {\"box_2d\": [819, 425, 879, 459], \"label\": \"five die\"},\n {\"box_2d\": [754, 440, 804, 467], \"label\": \"five die\"},\n {\"box_2d\": [706, 441, 758, 471], \"label\": \"four die\"},\n {\"box_2d\": [649, 471, 705, 503], \"label\": \"six die\"},\n {\"box_2d\": [682, 494, 740, 527], \"label\": \"six die\"},\n {\"box_2d\": [640, 514, 696, 546], \"label\": \"two die\"},\n {\"box_2d\": [587, 530, 637, 557], \"label\": \"five die\"},\n {\"box_2d\": [33, 673, 93, 707], \"label\": \"four die\"},\n {\"box_2d\": [148, 780, 197, 809], \"label\": \"three die\"},\n {\"box_2d\": [199, 764, 250, 794], \"label\": \"one die\"},\n {\"box_2d\": [255, 714, 314, 748], \"label\": \"three die\"},\n {\"box_2d\": [339, 683, 396, 715], \"label\": \"two die\"},\n {\"box_2d\": [397, 648, 446, 675], \"label\": \"four die\"},\n {\"box_2d\": [363, 772, 413, 802], \"label\": \"three die\"},\n {\"box_2d\": [395, 747, 452, 782], \"label\": \"one die\"},\n {\"box_2d\": [449, 757, 497, 785], \"label\": \"four die\"},\n {\"box_2d\": [496, 757, 545, 786], \"label\": \"four die\"},\n {\"box_2d\": [438, 808, 491, 839], \"label\": \"six die\"},\n {\"box_2d\": [666, 793, 722, 826], \"label\": \"three die\"}\n]\n```", "correct": false, "input_tokens": 1252, "output_tokens": 3799, "elapsed_seconds": 29.94856029096991, "metadata": {"match_method": "map", "num_predictions": 47, "num_ground_truth": 48, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7272748351097107, "attempts": 1, "retries": 0, "total_seconds": 29.9862}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 184, "image": "C440AC87-A6AC-47BA-9CB8-2E8D0B276501_jpg.rf.8b0f079f1f23f56b5c9934be046152df.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [164, 249, 238, 326], \"label\": \"pill\"},\n {\"box_2d\": [162, 369, 236, 444], \"label\": \"pill\"},\n {\"box_2d\": [229, 166, 305, 245], \"label\": \"pill\"},\n {\"box_2d\": [243, 304, 319, 382], \"label\": \"pill\"},\n {\"box_2d\": [327, 123, 405, 206], \"label\": \"pill\"},\n {\"box_2d\": [305, 273, 383, 353], \"label\": \"pill\"},\n {\"box_2d\": [356, 320, 434, 399], \"label\": \"pill\"},\n {\"box_2d\": [353, 405, 431, 483], \"label\": \"pill\"},\n {\"box_2d\": [297, 456, 374, 533], \"label\": \"pill\"},\n {\"box_2d\": [290, 548, 364, 624], \"label\": \"pill\"},\n {\"box_2d\": [315, 615, 392, 693], \"label\": \"pill\"},\n {\"box_2d\": [306, 689, 382, 767], \"label\": \"pill\"},\n {\"box_2d\": [361, 544, 437, 622], \"label\": \"pill\"},\n {\"box_2d\": [374, 704, 452, 785], \"label\": \"pill\"},\n {\"box_2d\": [430, 647, 509, 730], \"label\": \"pill\"},\n {\"box_2d\": [430, 522, 509, 601], \"label\": \"pill\"},\n {\"box_2d\": [438, 434, 517, 513], \"label\": \"pill\"},\n {\"box_2d\": [413, 363, 492, 443], \"label\": \"pill\"},\n {\"box_2d\": [415, 277, 493, 357], \"label\": \"pill\"},\n {\"box_2d\": [465, 162, 547, 246], \"label\": \"pill\"},\n {\"box_2d\": [481, 239, 562, 321], \"label\": \"pill\"},\n {\"box_2d\": [474, 320, 555, 402], \"label\": \"pill\"},\n {\"box_2d\": [542, 282, 626, 366], \"label\": \"pill\"},\n {\"box_2d\": [573, 354, 657, 438], \"label\": \"pill\"},\n {\"box_2d\": [601, 437, 687, 521], \"label\": \"pill\"},\n {\"box_2d\": [587, 520, 671, 604], \"label\": \"pill\"},\n {\"box_2d\": [508, 513, 589, 595], \"label\": \"pill\"},\n {\"box_2d\": [476, 583, 557, 664], \"label\": \"pill\"},\n {\"box_2d\": [581, 677, 665, 764], \"label\": \"pill\"},\n {\"box_2d\": [700, 160, 790, 248], \"label\": \"pill\"},\n {\"box_2d\": [689, 245, 779, 333], \"label\": \"pill\"},\n {\"box_2d\": [719, 319, 810, 408], \"label\": \"pill\"},\n {\"box_2d\": [780, 220, 873, 311], \"label\": \"pill\"},\n {\"box_2d\": [792, 58, 885, 153], \"label\": \"pill\"},\n {\"box_2d\": [722, 495, 812, 583], \"label\": \"pill\"},\n {\"box_2d\": [810, 478, 902, 568], \"label\": \"pill\"},\n {\"box_2d\": [772, 570, 864, 660], \"label\": \"pill\"},\n {\"box_2d\": [704, 619, 793, 708], \"label\": \"pill\"},\n {\"box_2d\": [698, 702, 787, 790], \"label\": \"pill\"},\n {\"box_2d\": [692, 783, 782, 872], \"label\": \"pill\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 3918, "elapsed_seconds": 45.93814733403269, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 40, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 46.3458}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 185, "image": "preannot3_62_png.rf.0c5f5d9500c1d4c579c64d746f68b358.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [22, 333, 33, 353], \"label\": \"tire spike normal\"},\n {\"box_2d\": [30, 643, 40, 661], \"label\": \"tire spike normal\"},\n {\"box_2d\": [70, 620, 83, 644], \"label\": \"tire spike normal\"},\n {\"box_2d\": [90, 298, 104, 319], \"label\": \"tire spike normal\"},\n {\"box_2d\": [107, 697, 121, 718], \"label\": \"tire spike normal\"},\n {\"box_2d\": [151, 237, 166, 260], \"label\": \"tire spike normal\"},\n {\"box_2d\": [182, 656, 196, 680], \"label\": \"tire spike normal\"},\n {\"box_2d\": [237, 304, 252, 330], \"label\": \"tire spike normal\"},\n {\"box_2d\": [253, 699, 269, 725], \"label\": \"tire spike normal\"},\n {\"box_2d\": [295, 243, 311, 268], \"label\": \"tire spike normal\"},\n {\"box_2d\": [321, 746, 337, 770], \"label\": \"tire spike absent\"},\n {\"box_2d\": [365, 204, 381, 226], \"label\": \"tire spike absent\"},\n {\"box_2d\": [396, 773, 412, 795], \"label\": \"tire spike normal\"},\n {\"box_2d\": [446, 223, 463, 246], \"label\": \"tire spike normal\"},\n {\"box_2d\": [507, 653, 524, 680], \"label\": \"tire spike normal\"},\n {\"box_2d\": [562, 326, 579, 353], \"label\": \"tire spike normal\"},\n {\"box_2d\": [572, 695, 591, 722], \"label\": \"tire spike normal\"},\n {\"box_2d\": [618, 270, 636, 294], \"label\": \"tire spike normal\"},\n {\"box_2d\": [677, 634, 695, 661], \"label\": \"tire spike normal\"},\n {\"box_2d\": [710, 315, 726, 342], \"label\": \"tire spike normal\"},\n {\"box_2d\": [709, 754, 726, 780], \"label\": \"tire spike normal\"},\n {\"box_2d\": [758, 245, 773, 269], \"label\": \"tire spike normal\"},\n {\"box_2d\": [801, 670, 817, 695], \"label\": \"tire spike normal\"},\n {\"box_2d\": [855, 720, 869, 744], \"label\": \"tire spike normal\"},\n {\"box_2d\": [899, 291, 913, 313], \"label\": \"tire spike normal\"},\n {\"box_2d\": [931, 639, 943, 661], \"label\": \"tire spike normal\"},\n {\"box_2d\": [940, 735, 952, 756], \"label\": \"tire spike normal\"}\n]\n```", "correct": false, "input_tokens": 1206, "output_tokens": 3169, "elapsed_seconds": 28.46275645797141, "metadata": {"match_method": "map", "num_predictions": 27, "num_ground_truth": 32, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6304950714111328, "attempts": 1, "retries": 0, "total_seconds": 28.5253}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 186, "image": "floorplan-windows-doors_10035_png.rf.4ea81a436186bba253c43df724f8ab26.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [7, 129, 36, 192], \"label\": \"window\"},\n {\"box_2d\": [7, 345, 37, 425], \"label\": \"window\"},\n {\"box_2d\": [7, 502, 37, 582], \"label\": \"window\"},\n {\"box_2d\": [7, 589, 37, 667], \"label\": \"window\"},\n {\"box_2d\": [7, 773, 37, 853], \"label\": \"window\"},\n {\"box_2d\": [217, 184, 304, 238], \"label\": \"door\"},\n {\"box_2d\": [290, 311, 350, 346], \"label\": \"door\"},\n {\"box_2d\": [265, 396, 340, 446], \"label\": \"door\"},\n {\"box_2d\": [383, 441, 453, 490], \"label\": \"door\"},\n {\"box_2d\": [458, 311, 519, 347], \"label\": \"door\"},\n {\"box_2d\": [468, 396, 542, 446], \"label\": \"door\"},\n {\"box_2d\": [216, 677, 286, 728], \"label\": \"door\"},\n {\"box_2d\": [394, 771, 464, 818], \"label\": \"door\"},\n {\"box_2d\": [540, 765, 616, 815], \"label\": \"door\"},\n {\"box_2d\": [560, 677, 631, 728], \"label\": \"door\"},\n {\"box_2d\": [592, 825, 659, 868], \"label\": \"door\"},\n {\"box_2d\": [318, 917, 417, 936], \"label\": \"window\"},\n {\"box_2d\": [616, 917, 694, 936], \"label\": \"door\"},\n {\"box_2d\": [751, 339, 781, 409], \"label\": \"window\"},\n {\"box_2d\": [753, 487, 886, 542], \"label\": \"door\"},\n {\"box_2d\": [751, 595, 781, 675], \"label\": \"window\"},\n {\"box_2d\": [751, 773, 781, 836], \"label\": \"window\"}\n]\n```", "correct": true, "input_tokens": 1245, "output_tokens": 2875, "elapsed_seconds": 25.316551583004184, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9573495984077454, "attempts": 1, "retries": 0, "total_seconds": 25.3493}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 187, "image": "IMG_6647_jpeg_jpg.rf.c9080c42346e2e5efd9c896163bdce7e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [478, 265, 594, 470], \"label\": \"white poker chip\"},\n {\"box_2d\": [549, 264, 610, 465], \"label\": \"white poker chip\"},\n {\"box_2d\": [563, 262, 628, 463], \"label\": \"white poker chip\"},\n {\"box_2d\": [574, 259, 653, 463], \"label\": \"white poker chip\"},\n {\"box_2d\": [221, 505, 281, 747], \"label\": \"white poker chip\"},\n {\"box_2d\": [259, 511, 307, 750], \"label\": \"white poker chip\"},\n {\"box_2d\": [279, 514, 333, 756], \"label\": \"white poker chip\"},\n {\"box_2d\": [304, 524, 359, 767], \"label\": \"white poker chip\"},\n {\"box_2d\": [314, 517, 381, 758], \"label\": \"white poker chip\"},\n {\"box_2d\": [340, 512, 404, 750], \"label\": \"white poker chip\"},\n {\"box_2d\": [364, 514, 427, 747], \"label\": \"white poker chip\"},\n {\"box_2d\": [377, 505, 447, 742], \"label\": \"white poker chip\"},\n {\"box_2d\": [381, 496, 469, 728], \"label\": \"white poker chip\"},\n {\"box_2d\": [416, 499, 491, 725], \"label\": \"white poker chip\"},\n {\"box_2d\": [438, 497, 512, 722], \"label\": \"white poker chip\"},\n {\"box_2d\": [454, 496, 530, 716], \"label\": \"white poker chip\"},\n {\"box_2d\": [455, 485, 550, 712], \"label\": \"white poker chip\"},\n {\"box_2d\": [494, 487, 571, 709], \"label\": \"white poker chip\"},\n {\"box_2d\": [504, 480, 589, 697], \"label\": \"white poker chip\"},\n {\"box_2d\": [524, 479, 606, 694], \"label\": \"white poker chip\"},\n {\"box_2d\": [538, 474, 622, 695], \"label\": \"white poker chip\"},\n {\"box_2d\": [549, 471, 639, 681], \"label\": \"white poker chip\"},\n {\"box_2d\": [568, 470, 669, 678], \"label\": \"white poker chip\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 2860, "elapsed_seconds": 21.451577625004575, "metadata": {"match_method": "map", "num_predictions": 23, "num_ground_truth": 24, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9504950642585754, "attempts": 1, "retries": 0, "total_seconds": 21.4688}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 188, "image": "IMG_20220316_141641_jpg.rf.2b5b442678a6dd37dce39460868771a9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [449, 29, 882, 400], \"label\": \"nine of spades\"},\n {\"box_2d\": [192, 99, 579, 424], \"label\": \"jack of spades\"},\n {\"box_2d\": [143, 333, 526, 658], \"label\": \"ten of spades\"},\n {\"box_2d\": [143, 565, 531, 868], \"label\": \"queen of spades\"},\n {\"box_2d\": [547, 344, 960, 697], \"label\": \"king of spades\"}\n]\n```", "correct": true, "input_tokens": 1218, "output_tokens": 580, "elapsed_seconds": 7.539989999961108, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 7.5675}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 189, "image": "img_460975841708081304_png.rf.71eaf0b919ddab2a648aa76c72cc4a00.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [159, 145, 315, 254], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [241, 118, 408, 240], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [345, 87, 535, 221], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [468, 45, 676, 198], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [621, 0, 857, 174], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [815, 0, 1000, 140], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [176, 250, 317, 351], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [261, 236, 424, 347], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [364, 215, 545, 338], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [484, 189, 683, 326], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [636, 162, 861, 315], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [820, 123, 1000, 297], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [188, 351, 316, 446], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [273, 344, 419, 447], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [375, 336, 539, 447], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [495, 323, 675, 447], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [639, 311, 853, 448], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [820, 294, 1000, 447], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [201, 445, 332, 540], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [285, 446, 428, 548], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [384, 447, 549, 557], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [501, 445, 688, 567], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [643, 445, 860, 581], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [820, 447, 1000, 597], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [216, 535, 345, 631], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [299, 544, 448, 646], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [397, 551, 560, 663], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [508, 559, 695, 685], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [648, 571, 856, 711], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [820, 589, 1000, 742], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [229, 623, 355, 720], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [311, 637, 453, 743], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [409, 653, 564, 769], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [520, 671, 697, 798], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [659, 694, 856, 837], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [825, 726, 1000, 881], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [240, 710, 365, 807], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [321, 729, 459, 835], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [417, 752, 568, 870], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [525, 780, 695, 909], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [661, 816, 851, 957], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [827, 855, 1000, 1000], \"label\": \"full portable gas cylinder\"}\n]\n```", "correct": true, "input_tokens": 1203, "output_tokens": 3009, "elapsed_seconds": 25.637165332911536, "metadata": {"match_method": "map", "num_predictions": 42, "num_ground_truth": 42, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 25.7217}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 190, "image": "0000242_03668_d_0000012_jpg.rf.06096e6f084464419e172f0d35ca4d48.jpg", "expected": "", "predicted": "[\n {\"box_2d\": [779, 156, 963, 228], \"label\": \"car\"},\n {\"box_2d\": [451, 320, 550, 359], \"label\": \"car\"},\n {\"box_2d\": [445, 487, 533, 523], \"label\": \"car\"},\n {\"box_2d\": [307, 242, 368, 303], \"label\": \"car\"},\n {\"box_2d\": [248, 511, 302, 539], \"label\": \"car\"},\n {\"box_2d\": [353, 111, 405, 187], \"label\": \"car\"},\n {\"box_2d\": [309, 715, 358, 779], \"label\": \"car\"},\n {\"box_2d\": [375, 864, 430, 906], \"label\": \"car\"},\n {\"box_2d\": [556, 691, 631, 744], \"label\": \"car\"},\n {\"box_2d\": [607, 623, 1000, 773], \"label\": \"bus\"},\n {\"box_2d\": [224, 306, 288, 340], \"label\": \"car\"},\n {\"box_2d\": [269, 60, 334, 105], \"label\": \"van\"},\n {\"box_2d\": [393, 42, 437, 94], \"label\": \"tricycle\"},\n {\"box_2d\": [396, 106, 434, 136], \"label\": \"motorcycle\"},\n {\"box_2d\": [411, 177, 454, 215], \"label\": \"tricycle\"},\n {\"box_2d\": [31, 482, 65, 499], \"label\": \"car\"},\n {\"box_2d\": [136, 544, 178, 567], \"label\": \"car\"},\n {\"box_2d\": [351, 0, 404, 19], \"label\": \"car\"},\n {\"box_2d\": [275, 864, 311, 875], \"label\": \"person\"}\n]", "correct": false, "input_tokens": 1253, "output_tokens": 1748, "elapsed_seconds": 17.822783624986187, "metadata": {"match_method": "map", "num_predictions": 19, "num_ground_truth": 41, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.4132746160030365, "attempts": 1, "retries": 0, "total_seconds": 17.8495}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 191, "image": "DJI_20230529111835_0160_T_JPG_jpg.rf.cb5b9a9d87fdc7c9ff407eb5530abb88.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [31, 74, 47, 89], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [101, 445, 117, 460], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [97, 486, 117, 502], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [96, 527, 115, 542], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [90, 606, 113, 622], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [358, 383, 374, 397], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [446, 511, 469, 528], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [444, 587, 466, 603], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [423, 960, 442, 975], \"label\": \"solar panel hot spot\"}\n]\n```", "correct": false, "input_tokens": 1228, "output_tokens": 1131, "elapsed_seconds": 13.677643083035946, "metadata": {"match_method": "map", "num_predictions": 9, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7524752616882324, "attempts": 1, "retries": 0, "total_seconds": 13.6933}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 192, "image": "oil-tank-detection_oiltank_72_jpg.rf.bfd5af54297ea9f409419db50cd04705.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [251, 326, 336, 405], \"label\": \"oil tank\"},\n {\"box_2d\": [364, 386, 452, 466], \"label\": \"oil tank\"},\n {\"box_2d\": [361, 509, 450, 588], \"label\": \"oil tank\"},\n {\"box_2d\": [481, 446, 576, 529], \"label\": \"oil tank\"},\n {\"box_2d\": [606, 511, 706, 595], \"label\": \"oil tank\"},\n {\"box_2d\": [477, 184, 574, 267], \"label\": \"oil tank\"},\n {\"box_2d\": [587, 233, 686, 315], \"label\": \"oil tank\"},\n {\"box_2d\": [703, 286, 807, 373], \"label\": \"oil tank\"},\n {\"box_2d\": [566, 44, 665, 130], \"label\": \"oil tank\"},\n {\"box_2d\": [680, 91, 785, 178], \"label\": \"oil tank\"},\n {\"box_2d\": [801, 141, 909, 229], \"label\": \"oil tank\"}\n]\n```", "correct": true, "input_tokens": 1217, "output_tokens": 1281, "elapsed_seconds": 14.367675374960527, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 14.4293}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 193, "image": "fall-detection_11_mp4-445_jpg.rf.ec9538d8514a0521c6f155cde47497f3.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [498, 612, 568, 712], \"label\": \"fallen person\"},\n {\"box_2d\": [485, 825, 538, 940], \"label\": \"fallen person\"},\n {\"box_2d\": [687, 225, 781, 355], \"label\": \"fallen person\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 900, "elapsed_seconds": 10.257119207992218, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 10.2753}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 194, "image": "IMG_0619_jpeg.rf.c3c23da72f8dbeb2815ccc4646178889.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [264, 307, 349, 377], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [348, 360, 448, 423], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [480, 185, 610, 279], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [621, 344, 756, 476], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [452, 495, 569, 578], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [319, 544, 410, 610], \"label\": \"caramel corn jelly bean\"},\n {\"box_2d\": [259, 478, 331, 543], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [254, 639, 323, 702], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [348, 748, 434, 838], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [484, 676, 575, 789], \"label\": \"peach jelly bean\"},\n {\"box_2d\": [600, 579, 750, 676], \"label\": \"peach jelly bean\"}\n]\n```", "correct": true, "input_tokens": 1230, "output_tokens": 2680, "elapsed_seconds": 29.712165666976944, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 2, "retries": 1, "total_seconds": 92.88, "transient_errors": ["RemoteProtocolError"]}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 195, "image": "GP010243_JPG_jpg.rf.64d32b7106e99e9f954d84ee868d21ec.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [60, 353, 250, 386], \"label\": \"carrot\"},\n {\"box_2d\": [86, 386, 220, 459], \"label\": \"carrot\"},\n {\"box_2d\": [167, 375, 311, 416], \"label\": \"carrot\"},\n {\"box_2d\": [164, 392, 300, 442], \"label\": \"carrot\"},\n {\"box_2d\": [95, 447, 317, 570], \"label\": \"carrot\"},\n {\"box_2d\": [91, 497, 180, 616], \"label\": \"carrot\"},\n {\"box_2d\": [131, 562, 333, 606], \"label\": \"carrot\"},\n {\"box_2d\": [150, 525, 220, 681], \"label\": \"carrot\"},\n {\"box_2d\": [161, 622, 294, 686], \"label\": \"carrot\"},\n {\"box_2d\": [217, 614, 366, 692], \"label\": \"carrot\"},\n {\"box_2d\": [234, 617, 388, 703], \"label\": \"carrot\"},\n {\"box_2d\": [278, 678, 419, 709], \"label\": \"carrot\"},\n {\"box_2d\": [259, 473, 405, 608], \"label\": \"carrot\"},\n {\"box_2d\": [286, 344, 377, 452], \"label\": \"carrot\"},\n {\"box_2d\": [270, 452, 473, 491], \"label\": \"carrot\"},\n {\"box_2d\": [288, 484, 422, 509], \"label\": \"carrot\"},\n {\"box_2d\": [345, 408, 517, 444], \"label\": \"carrot\"},\n {\"box_2d\": [372, 391, 538, 417], \"label\": \"carrot\"},\n {\"box_2d\": [433, 344, 588, 395], \"label\": \"carrot\"},\n {\"box_2d\": [527, 342, 578, 472], \"label\": \"carrot\"},\n {\"box_2d\": [395, 489, 456, 631], \"label\": \"carrot\"},\n {\"box_2d\": [373, 562, 486, 683], \"label\": \"carrot\"},\n {\"box_2d\": [347, 594, 509, 625], \"label\": \"carrot\"},\n {\"box_2d\": [419, 567, 519, 602], \"label\": \"carrot\"},\n {\"box_2d\": [470, 416, 497, 573], \"label\": \"carrot\"},\n {\"box_2d\": [497, 422, 536, 570], \"label\": \"carrot\"},\n {\"box_2d\": [581, 483, 614, 684], \"label\": \"carrot\"},\n {\"box_2d\": [608, 473, 648, 653], \"label\": \"carrot\"},\n {\"box_2d\": [612, 384, 731, 442], \"label\": \"carrot\"},\n {\"box_2d\": [627, 386, 755, 541], \"label\": \"carrot\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 3781, "elapsed_seconds": 35.166781374951825, "metadata": {"match_method": "map", "num_predictions": 30, "num_ground_truth": 31, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9603960514068604, "attempts": 2, "retries": 1, "total_seconds": 97.9048, "transient_errors": ["RemoteProtocolError"]}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 196, "image": "AF6880-9_2025_NCPT-169_JPG_jpg.rf.ea0bce7069f12d5c1ba29710a0998228.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [56, 190, 148, 229], \"label\": \"potato\"},\n {\"box_2d\": [613, 193, 672, 217], \"label\": \"potato\"},\n {\"box_2d\": [12, 238, 82, 267], \"label\": \"potato\"},\n {\"box_2d\": [81, 237, 151, 268], \"label\": \"potato\"},\n {\"box_2d\": [148, 232, 225, 267], \"label\": \"potato\"},\n {\"box_2d\": [399, 234, 461, 261], \"label\": \"potato\"},\n {\"box_2d\": [669, 231, 750, 262], \"label\": \"potato\"},\n {\"box_2d\": [28, 285, 92, 309], \"label\": \"potato\"},\n {\"box_2d\": [250, 275, 349, 312], \"label\": \"potato\"},\n {\"box_2d\": [429, 276, 520, 310], \"label\": \"potato\"},\n {\"box_2d\": [527, 275, 617, 312], \"label\": \"potato\"},\n {\"box_2d\": [641, 273, 728, 308], \"label\": \"potato\"},\n {\"box_2d\": [728, 275, 804, 305], \"label\": \"potato\"},\n {\"box_2d\": [58, 320, 157, 357], \"label\": \"potato\"},\n {\"box_2d\": [322, 321, 427, 362], \"label\": \"potato\"},\n {\"box_2d\": [454, 320, 534, 350], \"label\": \"potato\"},\n {\"box_2d\": [590, 317, 671, 351], \"label\": \"potato\"},\n {\"box_2d\": [918, 314, 1000, 347], \"label\": \"potato\"},\n {\"box_2d\": [8, 370, 90, 403], \"label\": \"potato\"},\n {\"box_2d\": [92, 368, 165, 400], \"label\": \"potato\"},\n {\"box_2d\": [163, 370, 237, 400], \"label\": \"potato\"},\n {\"box_2d\": [225, 361, 278, 384], \"label\": \"potato\"},\n {\"box_2d\": [276, 357, 391, 404], \"label\": \"potato\"},\n {\"box_2d\": [390, 365, 474, 398], \"label\": \"potato\"},\n {\"box_2d\": [473, 361, 577, 400], \"label\": \"potato\"},\n {\"box_2d\": [659, 365, 730, 394], \"label\": \"potato\"},\n {\"box_2d\": [728, 356, 827, 399], \"label\": \"potato\"},\n {\"box_2d\": [825, 353, 928, 393], \"label\": \"potato\"},\n {\"box_2d\": [925, 360, 1000, 397], \"label\": \"potato\"},\n {\"box_2d\": [72, 412, 145, 444], \"label\": \"potato\"},\n {\"box_2d\": [142, 408, 250, 450], \"label\": \"potato\"},\n {\"box_2d\": [249, 410, 345, 446], \"label\": \"potato\"},\n {\"box_2d\": [342, 412, 398, 437], \"label\": \"potato\"},\n {\"box_2d\": [399, 400, 498, 440], \"label\": \"potato\"},\n {\"box_2d\": [503, 401, 613, 439], \"label\": \"potato\"},\n {\"box_2d\": [656, 401, 748, 441], \"label\": \"potato\"},\n {\"box_2d\": [862, 397, 942, 435], \"label\": \"potato\"},\n {\"box_2d\": [938, 404, 1000, 435], \"label\": \"potato\"},\n {\"box_2d\": [3, 454, 110, 498], \"label\": \"potato\"},\n {\"box_2d\": [110, 454, 207, 491], \"label\": \"potato\"},\n {\"box_2d\": [205, 452, 293, 491], \"label\": \"potato\"},\n {\"box_2d\": [290, 446, 365, 480], \"label\": \"potato\"},\n {\"box_2d\": [363, 448, 466, 490], \"label\": \"potato\"},\n {\"box_2d\": [514, 450, 591, 484], \"label\": \"potato\"},\n {\"box_2d\": [606, 446, 694, 485], \"label\": \"potato\"},\n {\"box_2d\": [51, 501, 137, 537], \"label\": \"potato\"},\n {\"box_2d\": [135, 501, 214, 533], \"label\": \"potato\"},\n {\"box_2d\": [213, 502, 281, 531], \"label\": \"potato\"},\n {\"box_2d\": [280, 499, 378, 538], \"label\": \"potato\"},\n {\"box_2d\": [484, 493, 600, 541], \"label\": \"potato\"},\n {\"box_2d\": [764, 488, 860, 530], \"label\": \"potato\"},\n {\"box_2d\": [858, 491, 933, 522], \"label\": \"potato\"},\n {\"box_2d\": [931, 490, 1000, 525], \"label\": \"potato\"},\n {\"box_2d\": [226, 543, 317, 574], \"label\": \"potato\"},\n {\"box_2d\": [384, 537, 485, 581], \"label\": \"potato\"},\n {\"box_2d\": [77, 585, 171, 621], \"label\": \"potato\"},\n {\"box_2d\": [236, 581, 353, 621], \"label\": \"potato\"},\n {\"box_2d\": [560, 585, 635, 613], \"label\": \"potato\"},\n {\"box_2d\": [636, 581, 729, 612], \"label\": \"potato\"},\n {\"box_2d\": [5, 633, 95, 666], \"label\": \"potato\"},\n {\"box_2d\": [93, 632, 177, 670], \"label\": \"potato\"},\n {\"box_2d\": [173, 634, 236, 661], \"label\": \"potato\"},\n {\"box_2d\": [192, 670, 296, 708], \"label\": \"potato\"},\n {\"box_2d\": [421, 669, 517, 704], \"label\": \"potato\"},\n {\"box_2d\": [567, 669, 632, 696], \"label\": \"potato\"},\n {\"box_2d\": [821, 664, 916, 699], \"label\": \"potato\"},\n {\"box_2d\": [576, 752, 683, 792], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 4538, "elapsed_seconds": 44.65381762501784, "metadata": {"match_method": "map", "num_predictions": 67, "num_ground_truth": 67, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 45.1317}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 197, "image": "frame_0086_jpg.rf.5ae0e80356e2c5bb993a052e5023c7f1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [29, 340, 68, 362], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [30, 395, 70, 418], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [33, 452, 74, 475], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [38, 507, 79, 531], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [113, 328, 154, 352], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [115, 383, 157, 408], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [119, 440, 162, 466], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [124, 498, 168, 524], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [653, 299, 704, 326], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [657, 360, 710, 388], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [668, 423, 721, 451], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [681, 488, 735, 517], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [764, 296, 818, 321], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [771, 356, 825, 384], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [781, 420, 836, 449], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [796, 485, 851, 513], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [878, 293, 929, 319], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [884, 353, 936, 380], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [898, 418, 949, 444], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [912, 482, 963, 509], \"label\": \"soda bottle cap\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 1846, "elapsed_seconds": 31.402679749997333, "metadata": {"match_method": "map", "num_predictions": 20, "num_ground_truth": 20, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 31.775}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 198, "image": "image_147_png_jpg.rf.fd3e0f5032b1ae386c027b1058ac751a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [122, 672, 404, 888], \"label\": \"tire size text\"},\n {\"box_2d\": [417, 80, 779, 212], \"label\": \"tire size text\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 783, "elapsed_seconds": 13.326038000057451, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 13.6014}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 199, "image": "fabric-defect_1080_jpg.rf.77a4ab03e25cfeeaaa1f6bbdcb3e7742.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [565, 489, 672, 730], \"label\": \"fabric cut\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 375, "elapsed_seconds": 6.278281416045502, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 6.286}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 200, "image": "oil-tank-detection_oiltank_137_jpg.rf.be33343bf10652832014b855d080a80c.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [82, 464, 224, 588], \"label\": \"oil tank\"},\n {\"box_2d\": [233, 456, 380, 580], \"label\": \"oil tank\"},\n {\"box_2d\": [391, 449, 540, 574], \"label\": \"oil tank\"},\n {\"box_2d\": [549, 449, 682, 563], \"label\": \"oil tank\"},\n {\"box_2d\": [93, 600, 237, 725], \"label\": \"oil tank\"},\n {\"box_2d\": [240, 595, 389, 722], \"label\": \"oil tank\"},\n {\"box_2d\": [399, 589, 547, 718], \"label\": \"oil tank\"},\n {\"box_2d\": [556, 595, 691, 707], \"label\": \"oil tank\"},\n {\"box_2d\": [106, 735, 229, 839], \"label\": \"oil tank\"},\n {\"box_2d\": [231, 732, 360, 836], \"label\": \"oil tank\"},\n {\"box_2d\": [366, 728, 496, 836], \"label\": \"oil tank\"},\n {\"box_2d\": [116, 850, 195, 920], \"label\": \"oil tank\"},\n {\"box_2d\": [194, 850, 275, 918], \"label\": \"oil tank\"},\n {\"box_2d\": [276, 849, 357, 920], \"label\": \"oil tank\"},\n {\"box_2d\": [357, 849, 441, 921], \"label\": \"oil tank\"},\n {\"box_2d\": [442, 848, 526, 919], \"label\": \"oil tank\"},\n {\"box_2d\": [590, 846, 672, 916], \"label\": \"oil tank\"}\n]\n```", "correct": true, "input_tokens": 1217, "output_tokens": 1797, "elapsed_seconds": 18.137502791010775, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 17, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 18.1915}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 201, "image": "basketball-player-detection_boston-celtics-new-york-knicks-game-1-q1-05-13-05-09-0000_png.rf.31fd4573143b8c82031c8804c4754e40.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [324, 198, 350, 213], \"label\": \"basketball\"},\n {\"box_2d\": [291, 158, 456, 206], \"label\": \"player in possession\"},\n {\"box_2d\": [357, 130, 610, 182], \"label\": \"player\"},\n {\"box_2d\": [401, 224, 650, 280], \"label\": \"player\"},\n {\"box_2d\": [305, 294, 490, 357], \"label\": \"player\"},\n {\"box_2d\": [478, 483, 690, 529], \"label\": \"player\"},\n {\"box_2d\": [578, 466, 807, 532], \"label\": \"player\"},\n {\"box_2d\": [195, 539, 377, 591], \"label\": \"player\"},\n {\"box_2d\": [141, 532, 311, 567], \"label\": \"player\"},\n {\"box_2d\": [245, 656, 455, 696], \"label\": \"player\"},\n {\"box_2d\": [172, 667, 358, 707], \"label\": \"player\"},\n {\"box_2d\": [224, 8, 400, 69], \"label\": \"referee\"},\n {\"box_2d\": [207, 744, 378, 785], \"label\": \"referee\"},\n {\"box_2d\": [677, 631, 912, 681], \"label\": \"referee\"},\n {\"box_2d\": [194, 713, 215, 744], \"label\": \"basket rim\"},\n {\"box_2d\": [409, 141, 442, 153], \"label\": \"jersey number\"},\n {\"box_2d\": [461, 241, 487, 252], \"label\": \"jersey number\"},\n {\"box_2d\": [332, 319, 354, 335], \"label\": \"jersey number\"},\n {\"box_2d\": [636, 472, 666, 483], \"label\": \"jersey number\"},\n {\"box_2d\": [232, 560, 255, 569], \"label\": \"jersey number\"},\n {\"box_2d\": [295, 670, 317, 680], \"label\": \"jersey number\"},\n {\"box_2d\": [723, 650, 746, 664], \"label\": \"jersey number\"}\n]\n```", "correct": true, "input_tokens": 1250, "output_tokens": 2588, "elapsed_seconds": 23.390379499993287, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 23, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9587458372116089, "attempts": 1, "retries": 0, "total_seconds": 23.4776}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 202, "image": "z4517190790071_c6f2ede212488ea95f254bbe631608fc_jpg.rf.f7f6570fcaaac50f965457b35ee9278d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [158, 349, 263, 506], \"label\": \"10 poker chip\"},\n {\"box_2d\": [228, 587, 342, 753], \"label\": \"50 poker chip\"},\n {\"box_2d\": [281, 240, 396, 405], \"label\": \"20 poker chip\"},\n {\"box_2d\": [292, 439, 409, 605], \"label\": \"20 poker chip\"},\n {\"box_2d\": [363, 102, 484, 275], \"label\": \"100 poker chip\"},\n {\"box_2d\": [344, 769, 466, 945], \"label\": \"5000 poker chip\"},\n {\"box_2d\": [421, 358, 546, 531], \"label\": \"20 poker chip\"},\n {\"box_2d\": [425, 605, 553, 785], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [456, 187, 586, 364], \"label\": \"10 poker chip\"},\n {\"box_2d\": [526, 456, 663, 639], \"label\": \"20 poker chip\"},\n {\"box_2d\": [549, 26, 687, 211], \"label\": \"50 poker chip\"},\n {\"box_2d\": [574, 246, 715, 433], \"label\": \"20 poker chip\"},\n {\"box_2d\": [549, 697, 689, 888], \"label\": \"500 poker chip\"},\n {\"box_2d\": [705, 396, 863, 591], \"label\": \"50 poker chip\"},\n {\"box_2d\": [692, 601, 849, 800], \"label\": \"50 poker chip\"}\n]\n```", "correct": true, "input_tokens": 1246, "output_tokens": 1205, "elapsed_seconds": 17.152492332970724, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 17.3455}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 203, "image": "0000272_05500_d_0000012_jpg.rf.4ba2cfdc69b70f306855d444db49f509.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [872, 452, 1000, 517], \"label\": \"car\"},\n {\"box_2d\": [595, 475, 742, 526], \"label\": \"car\"},\n {\"box_2d\": [615, 581, 731, 645], \"label\": \"car\"},\n {\"box_2d\": [424, 481, 519, 520], \"label\": \"car\"},\n {\"box_2d\": [283, 486, 362, 520], \"label\": \"car\"},\n {\"box_2d\": [231, 528, 284, 555], \"label\": \"car\"},\n {\"box_2d\": [187, 483, 251, 506], \"label\": \"van\"},\n {\"box_2d\": [173, 585, 220, 612], \"label\": \"car\"},\n {\"box_2d\": [262, 565, 321, 588], \"label\": \"awning tricycle\"},\n {\"box_2d\": [334, 608, 376, 622], \"label\": \"person\"},\n {\"box_2d\": [345, 607, 384, 622], \"label\": \"motorcycle\"},\n {\"box_2d\": [492, 672, 550, 689], \"label\": \"person\"},\n {\"box_2d\": [772, 350, 847, 369], \"label\": \"person\"},\n {\"box_2d\": [713, 402, 777, 419], \"label\": \"person\"},\n {\"box_2d\": [742, 402, 799, 418], \"label\": \"bike\"},\n {\"box_2d\": [419, 413, 472, 426], \"label\": \"person\"},\n {\"box_2d\": [331, 382, 391, 404], \"label\": \"awning tricycle\"},\n {\"box_2d\": [295, 384, 344, 405], \"label\": \"awning tricycle\"},\n {\"box_2d\": [206, 399, 259, 422], \"label\": \"awning tricycle\"},\n {\"box_2d\": [74, 562, 108, 582], \"label\": \"car\"},\n {\"box_2d\": [35, 557, 73, 575], \"label\": \"car\"},\n {\"box_2d\": [25, 519, 57, 536], \"label\": \"car\"},\n {\"box_2d\": [6, 554, 33, 569], \"label\": \"car\"},\n {\"box_2d\": [111, 424, 159, 442], \"label\": \"van\"},\n {\"box_2d\": [71, 425, 120, 446], \"label\": \"van\"},\n {\"box_2d\": [134, 448, 166, 455], \"label\": \"person\"},\n {\"box_2d\": [424, 847, 462, 869], \"label\": \"motorcycle\"},\n {\"box_2d\": [748, 28, 832, 81], \"label\": \"car\"}\n]\n```", "correct": false, "input_tokens": 1251, "output_tokens": 2379, "elapsed_seconds": 23.030795708065853, "metadata": {"match_method": "map", "num_predictions": 28, "num_ground_truth": 48, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3323863744735718, "attempts": 1, "retries": 0, "total_seconds": 23.0862}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 204, "image": "IMG_20251126_160326_jpg.rf.31a216199c4280d746f5865a68a63ce2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 475, 198, 553], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [2, 628, 180, 711], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [686, 33, 782, 106], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [662, 118, 949, 194], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [678, 243, 769, 314], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [661, 311, 766, 384], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [669, 382, 765, 449], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [662, 462, 757, 531], \"label\": \"white standard price tag\"},\n {\"box_2d\": [641, 591, 925, 667], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [656, 688, 753, 758], \"label\": \"white standard price tag\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 1876, "elapsed_seconds": 19.517889042035677, "metadata": {"match_method": "map", "num_predictions": 10, "num_ground_truth": 10, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 19.8018}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 205, "image": "54_jpg.rf.3f4031b98a1a0622e63a0c84142db646.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [50, 108, 121, 353], \"label\": \"blood sample tube\"},\n {\"box_2d\": [42, 291, 325, 450], \"label\": \"blood sample tube\"},\n {\"box_2d\": [172, 319, 417, 514], \"label\": \"blood sample tube\"},\n {\"box_2d\": [312, 224, 631, 277], \"label\": \"blood sample tube\"},\n {\"box_2d\": [400, 109, 695, 241], \"label\": \"blood sample tube\"},\n {\"box_2d\": [686, 117, 749, 360], \"label\": \"blood sample tube\"},\n {\"box_2d\": [375, 305, 684, 429], \"label\": \"blood sample tube\"},\n {\"box_2d\": [295, 371, 598, 495], \"label\": \"blood sample tube\"},\n {\"box_2d\": [411, 375, 709, 517], \"label\": \"blood sample tube\"},\n {\"box_2d\": [678, 416, 742, 661], \"label\": \"blood sample tube\"},\n {\"box_2d\": [333, 474, 613, 639], \"label\": \"blood sample tube\"},\n {\"box_2d\": [542, 555, 725, 787], \"label\": \"blood sample tube\"},\n {\"box_2d\": [511, 649, 694, 886], \"label\": \"blood sample tube\"},\n {\"box_2d\": [422, 616, 608, 850], \"label\": \"blood sample tube\"},\n {\"box_2d\": [194, 559, 464, 738], \"label\": \"blood sample tube\"},\n {\"box_2d\": [231, 643, 506, 824], \"label\": \"blood sample tube\"},\n {\"box_2d\": [48, 452, 237, 675], \"label\": \"blood sample tube\"},\n {\"box_2d\": [19, 545, 92, 786], \"label\": \"blood sample tube\"},\n {\"box_2d\": [70, 653, 377, 789], \"label\": \"blood sample tube\"},\n {\"box_2d\": [53, 781, 375, 839], \"label\": \"blood sample tube\"},\n {\"box_2d\": [156, 825, 481, 880], \"label\": \"blood sample tube\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 2321, "elapsed_seconds": 18.371712791966274, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 21, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 18.3964}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 206, "image": "car-part-detection_Car-damages-100_png_jpg.rf.662e4c271efc89eea96c10e14886a134.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [407, 103, 575, 174], \"label\": \"front bumper\"},\n {\"box_2d\": [389, 124, 429, 161], \"label\": \"headlight\"},\n {\"box_2d\": [322, 139, 391, 294], \"label\": \"hood\"},\n {\"box_2d\": [314, 320, 364, 344], \"label\": \"mirror\"},\n {\"box_2d\": [229, 342, 362, 535], \"label\": \"front window\"},\n {\"box_2d\": [224, 299, 584, 541], \"label\": \"front door\"},\n {\"box_2d\": [229, 548, 355, 748], \"label\": \"back window\"},\n {\"box_2d\": [226, 524, 591, 765], \"label\": \"back door\"},\n {\"box_2d\": [368, 880, 434, 953], \"label\": \"tail light\"},\n {\"box_2d\": [423, 839, 608, 961], \"label\": \"back bumper\"}\n]\n```", "correct": false, "input_tokens": 1273, "output_tokens": 1279, "elapsed_seconds": 12.746311541995965, "metadata": {"match_method": "map", "num_predictions": 10, "num_ground_truth": 13, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7499998807907104, "attempts": 1, "retries": 0, "total_seconds": 12.7612}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 207, "image": "11_jpeg_jpg.rf.39329fe23320cf7bc33af6b9a57582d1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [75, 259, 182, 340], \"label\": \"potato\"},\n {\"box_2d\": [87, 643, 182, 740], \"label\": \"potato\"},\n {\"box_2d\": [298, 35, 422, 134], \"label\": \"potato\"},\n {\"box_2d\": [296, 345, 389, 435], \"label\": \"potato\"},\n {\"box_2d\": [322, 980, 406, 1000], \"label\": \"potato\"},\n {\"box_2d\": [498, 200, 659, 316], \"label\": \"potato\"},\n {\"box_2d\": [489, 405, 595, 499], \"label\": \"potato\"},\n {\"box_2d\": [503, 618, 595, 702], \"label\": \"potato\"},\n {\"box_2d\": [503, 789, 603, 879], \"label\": \"potato\"},\n {\"box_2d\": [650, 511, 818, 621], \"label\": \"potato\"},\n {\"box_2d\": [698, 323, 829, 435], \"label\": \"potato\"},\n {\"box_2d\": [710, 702, 810, 783], \"label\": \"potato\"},\n {\"box_2d\": [702, 813, 808, 882], \"label\": \"potato\"},\n {\"box_2d\": [716, 0, 808, 34], \"label\": \"potato\"},\n {\"box_2d\": [913, 315, 1000, 422], \"label\": \"potato\"},\n {\"box_2d\": [899, 744, 1000, 839], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1240, "output_tokens": 2198, "elapsed_seconds": 16.266335042077117, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 16.2965}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 208, "image": "oil-tank-detection_oiltank_3_jpg.rf.be0eb144cee15c2f85755ead464dc286.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [104, 73, 236, 178], \"label\": \"oil tank\"},\n {\"box_2d\": [99, 229, 231, 333], \"label\": \"oil tank\"},\n {\"box_2d\": [90, 457, 220, 562], \"label\": \"oil tank\"},\n {\"box_2d\": [84, 613, 214, 717], \"label\": \"oil tank\"},\n {\"box_2d\": [264, 620, 396, 725], \"label\": \"oil tank\"},\n {\"box_2d\": [269, 462, 403, 568], \"label\": \"oil tank\"},\n {\"box_2d\": [278, 230, 411, 334], \"label\": \"oil tank\"},\n {\"box_2d\": [283, 74, 417, 178], \"label\": \"oil tank\"},\n {\"box_2d\": [541, 134, 629, 200], \"label\": \"oil tank\"},\n {\"box_2d\": [537, 227, 626, 293], \"label\": \"oil tank\"}\n]\n```", "correct": true, "input_tokens": 1217, "output_tokens": 958, "elapsed_seconds": 10.965560333104804, "metadata": {"match_method": "map", "num_predictions": 10, "num_ground_truth": 10, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 11.0185}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 209, "image": "tile_558_jpg.rf.98aa48e6c54062f1e67b01de665e6887.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [75, 882, 98, 924], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [310, 569, 335, 603], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [345, 246, 376, 323], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [602, 837, 621, 894], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [624, 340, 666, 422], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [869, 154, 901, 226], \"label\": \"ship in SAR satellite image\"}\n]\n```", "correct": true, "input_tokens": 1229, "output_tokens": 916, "elapsed_seconds": 8.235793082974851, "metadata": {"match_method": "map", "num_predictions": 6, "num_ground_truth": 6, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 8.274}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 210, "image": "20230224_110122_jpg.rf.94c8b9d6caaec8593c315337e30857d7.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [591, 198, 650, 283], \"label\": \"crack\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 227, "elapsed_seconds": 4.540798791102134, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 4.5544}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 211, "image": "IMG_20220316_144550_jpg.rf.92c6d74a9ccc9c6c90918613d40eb144.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [550, 170, 1000, 513], \"label\": \"five of hearts\"},\n {\"box_2d\": [444, 405, 892, 668], \"label\": \"seven of hearts\"},\n {\"box_2d\": [246, 288, 658, 524], \"label\": \"six of hearts\"},\n {\"box_2d\": [282, 515, 673, 686], \"label\": \"eight of hearts\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 539, "elapsed_seconds": 5.625466707977466, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 5.64}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 212, "image": "wood-log-detection_006_png_jpg.rf.45786538ddac406dd0014f409b1d4caa.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [94, 202, 139, 262], \"label\": \"log cross-section\"},\n {\"box_2d\": [184, 238, 214, 273], \"label\": \"log cross-section\"},\n {\"box_2d\": [205, 322, 231, 352], \"label\": \"log cross-section\"},\n {\"box_2d\": [86, 291, 138, 361], \"label\": \"log cross-section\"},\n {\"box_2d\": [120, 389, 158, 436], \"label\": \"log cross-section\"},\n {\"box_2d\": [191, 447, 223, 483], \"label\": \"log cross-section\"},\n {\"box_2d\": [56, 450, 122, 534], \"label\": \"log cross-section\"},\n {\"box_2d\": [120, 475, 169, 552], \"label\": \"log cross-section\"},\n {\"box_2d\": [56, 566, 106, 631], \"label\": \"log cross-section\"},\n {\"box_2d\": [125, 558, 158, 595], \"label\": \"log cross-section\"},\n {\"box_2d\": [119, 594, 156, 644], \"label\": \"log cross-section\"},\n {\"box_2d\": [147, 570, 186, 620], \"label\": \"log cross-section\"},\n {\"box_2d\": [81, 622, 125, 680], \"label\": \"log cross-section\"},\n {\"box_2d\": [108, 662, 145, 712], \"label\": \"log cross-section\"},\n {\"box_2d\": [162, 631, 202, 686], \"label\": \"log cross-section\"},\n {\"box_2d\": [161, 722, 205, 780], \"label\": \"log cross-section\"}\n]\n```", "correct": true, "input_tokens": 1228, "output_tokens": 2047, "elapsed_seconds": 21.917459500022233, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 21.9405}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 213, "image": "Container_864_jpg.rf.9627e6adc1ff8e75c7d8ca9f8cc06311.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [111, 543, 389, 564], \"label\": \"shipping container number\"},\n {\"box_2d\": [94, 604, 195, 617], \"label\": \"container ISO type code\"}\n]\n```", "correct": true, "input_tokens": 1232, "output_tokens": 867, "elapsed_seconds": 11.426292875083163, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 11.4374}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 214, "image": "uav20221018_ixfZ_3857_14_png.rf.64d1ce8897202b1ab5141c12ebcde0db.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 158, 39, 231], \"label\": \"banana tree\"},\n {\"box_2d\": [45, 245, 83, 281], \"label\": \"banana tree\"},\n {\"box_2d\": [87, 174, 134, 211], \"label\": \"banana tree\"},\n {\"box_2d\": [116, 246, 170, 289], \"label\": \"banana tree\"},\n {\"box_2d\": [172, 171, 216, 222], \"label\": \"banana tree\"},\n {\"box_2d\": [213, 240, 260, 283], \"label\": \"banana tree\"},\n {\"box_2d\": [260, 177, 297, 219], \"label\": \"banana tree\"},\n {\"box_2d\": [304, 243, 344, 281], \"label\": \"banana tree\"},\n {\"box_2d\": [342, 172, 398, 227], \"label\": \"banana tree\"},\n {\"box_2d\": [388, 250, 427, 291], \"label\": \"banana tree\"},\n {\"box_2d\": [429, 178, 485, 223], \"label\": \"banana tree\"},\n {\"box_2d\": [468, 249, 523, 294], \"label\": \"banana tree\"},\n {\"box_2d\": [522, 181, 562, 226], \"label\": \"banana tree\"},\n {\"box_2d\": [560, 250, 610, 291], \"label\": \"banana tree\"},\n {\"box_2d\": [602, 179, 654, 233], \"label\": \"banana tree\"},\n {\"box_2d\": [641, 244, 706, 297], \"label\": \"banana tree\"},\n {\"box_2d\": [686, 169, 738, 235], \"label\": \"banana tree\"},\n {\"box_2d\": [732, 243, 785, 295], \"label\": \"banana tree\"},\n {\"box_2d\": [784, 177, 830, 231], \"label\": \"banana tree\"},\n {\"box_2d\": [828, 252, 875, 298], \"label\": \"banana tree\"},\n {\"box_2d\": [866, 177, 922, 238], \"label\": \"banana tree\"},\n {\"box_2d\": [910, 252, 964, 305], \"label\": \"banana tree\"},\n {\"box_2d\": [958, 179, 1000, 240], \"label\": \"banana tree\"},\n {\"box_2d\": [0, 467, 79, 540], \"label\": \"banana tree\"},\n {\"box_2d\": [53, 553, 107, 599], \"label\": \"banana tree\"},\n {\"box_2d\": [94, 465, 167, 536], \"label\": \"banana tree\"},\n {\"box_2d\": [138, 542, 198, 603], \"label\": \"banana tree\"},\n {\"box_2d\": [169, 471, 252, 545], \"label\": \"banana tree\"},\n {\"box_2d\": [231, 557, 275, 597], \"label\": \"banana tree\"},\n {\"box_2d\": [272, 486, 325, 533], \"label\": \"banana tree\"},\n {\"box_2d\": [312, 557, 368, 602], \"label\": \"banana tree\"},\n {\"box_2d\": [346, 478, 434, 547], \"label\": \"banana tree\"},\n {\"box_2d\": [398, 551, 449, 603], \"label\": \"banana tree\"},\n {\"box_2d\": [436, 480, 496, 543], \"label\": \"banana tree\"},\n {\"box_2d\": [481, 564, 536, 606], \"label\": \"banana tree\"},\n {\"box_2d\": [525, 477, 585, 539], \"label\": \"banana tree\"},\n {\"box_2d\": [576, 560, 625, 607], \"label\": \"banana tree\"},\n {\"box_2d\": [616, 482, 681, 550], \"label\": \"banana tree\"},\n {\"box_2d\": [656, 551, 709, 608], \"label\": \"banana tree\"},\n {\"box_2d\": [683, 478, 773, 567], \"label\": \"banana tree\"},\n {\"box_2d\": [743, 554, 793, 609], \"label\": \"banana tree\"},\n {\"box_2d\": [792, 478, 862, 545], \"label\": \"banana tree\"},\n {\"box_2d\": [835, 567, 875, 610], \"label\": \"banana tree\"},\n {\"box_2d\": [872, 488, 933, 547], \"label\": \"banana tree\"},\n {\"box_2d\": [918, 571, 962, 612], \"label\": \"banana tree\"},\n {\"box_2d\": [964, 490, 1000, 551], \"label\": \"banana tree\"},\n {\"box_2d\": [764, 853, 821, 915], \"label\": \"banana tree\"},\n {\"box_2d\": [808, 780, 875, 845], \"label\": \"banana tree\"},\n {\"box_2d\": [857, 862, 902, 904], \"label\": \"banana tree\"},\n {\"box_2d\": [896, 790, 962, 848], \"label\": \"banana tree\"},\n {\"box_2d\": [936, 860, 998, 916], \"label\": \"banana tree\"}\n]\n```", "correct": false, "input_tokens": 1226, "output_tokens": 3467, "elapsed_seconds": 30.18233058298938, "metadata": {"match_method": "map", "num_predictions": 51, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6546162962913513, "attempts": 1, "retries": 0, "total_seconds": 30.2269}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 215, "image": "1704192313045_jpg.rf.f68f24072cd4a5061cddf9521b0b617a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [264, 603, 336, 687], \"label\": \"chickpea grain\"},\n {\"box_2d\": [429, 290, 514, 365], \"label\": \"chickpea grain\"},\n {\"box_2d\": [501, 435, 564, 510], \"label\": \"chickpea grain\"},\n {\"box_2d\": [590, 728, 670, 807], \"label\": \"chickpea grain\"},\n {\"box_2d\": [698, 226, 781, 300], \"label\": \"chickpea grain\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 538, "elapsed_seconds": 6.7964062499813735, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 6.809}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 216, "image": "A15311-6Ctrv_2025_NCPT-174_JPG_jpg.rf.fc9ee0cac2da2d059bc0db453be0c788.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [17, 170, 65, 190], \"label\": \"potato\"},\n {\"box_2d\": [108, 156, 202, 192], \"label\": \"potato\"},\n {\"box_2d\": [201, 162, 268, 191], \"label\": \"potato\"},\n {\"box_2d\": [105, 206, 185, 236], \"label\": \"potato\"},\n {\"box_2d\": [428, 201, 497, 229], \"label\": \"potato\"},\n {\"box_2d\": [567, 198, 646, 230], \"label\": \"potato\"},\n {\"box_2d\": [11, 254, 70, 278], \"label\": \"potato\"},\n {\"box_2d\": [73, 246, 158, 281], \"label\": \"potato\"},\n {\"box_2d\": [181, 242, 274, 281], \"label\": \"potato\"},\n {\"box_2d\": [375, 245, 456, 276], \"label\": \"potato\"},\n {\"box_2d\": [497, 244, 585, 279], \"label\": \"potato\"},\n {\"box_2d\": [804, 242, 887, 272], \"label\": \"potato\"},\n {\"box_2d\": [9, 292, 94, 325], \"label\": \"potato\"},\n {\"box_2d\": [94, 292, 151, 319], \"label\": \"potato\"},\n {\"box_2d\": [149, 289, 229, 322], \"label\": \"potato\"},\n {\"box_2d\": [390, 280, 517, 325], \"label\": \"potato\"},\n {\"box_2d\": [515, 294, 550, 313], \"label\": \"potato\"},\n {\"box_2d\": [549, 291, 608, 316], \"label\": \"potato\"},\n {\"box_2d\": [608, 289, 673, 314], \"label\": \"potato\"},\n {\"box_2d\": [690, 286, 763, 314], \"label\": \"potato\"},\n {\"box_2d\": [8, 340, 65, 365], \"label\": \"potato\"},\n {\"box_2d\": [64, 333, 154, 369], \"label\": \"potato\"},\n {\"box_2d\": [181, 319, 303, 366], \"label\": \"potato\"},\n {\"box_2d\": [301, 330, 399, 368], \"label\": \"potato\"},\n {\"box_2d\": [444, 327, 550, 367], \"label\": \"potato\"},\n {\"box_2d\": [561, 328, 655, 368], \"label\": \"potato\"},\n {\"box_2d\": [654, 334, 714, 359], \"label\": \"potato\"},\n {\"box_2d\": [33, 378, 108, 408], \"label\": \"potato\"},\n {\"box_2d\": [108, 375, 190, 410], \"label\": \"potato\"},\n {\"box_2d\": [189, 376, 272, 410], \"label\": \"potato\"},\n {\"box_2d\": [269, 369, 373, 410], \"label\": \"potato\"},\n {\"box_2d\": [485, 364, 598, 409], \"label\": \"potato\"},\n {\"box_2d\": [619, 368, 713, 405], \"label\": \"potato\"},\n {\"box_2d\": [716, 369, 804, 404], \"label\": \"potato\"},\n {\"box_2d\": [808, 374, 882, 401], \"label\": \"potato\"},\n {\"box_2d\": [74, 420, 158, 454], \"label\": \"potato\"},\n {\"box_2d\": [156, 417, 263, 458], \"label\": \"potato\"},\n {\"box_2d\": [281, 414, 407, 456], \"label\": \"potato\"},\n {\"box_2d\": [410, 415, 507, 452], \"label\": \"potato\"},\n {\"box_2d\": [611, 414, 691, 450], \"label\": \"potato\"},\n {\"box_2d\": [121, 459, 241, 500], \"label\": \"potato\"},\n {\"box_2d\": [313, 453, 435, 503], \"label\": \"potato\"},\n {\"box_2d\": [433, 463, 503, 495], \"label\": \"potato\"},\n {\"box_2d\": [597, 455, 735, 497], \"label\": \"potato\"},\n {\"box_2d\": [733, 448, 841, 493], \"label\": \"potato\"},\n {\"box_2d\": [930, 457, 999, 488], \"label\": \"potato\"},\n {\"box_2d\": [8, 514, 67, 538], \"label\": \"potato\"},\n {\"box_2d\": [366, 501, 499, 545], \"label\": \"potato\"},\n {\"box_2d\": [825, 493, 952, 547], \"label\": \"potato\"},\n {\"box_2d\": [4, 557, 89, 589], \"label\": \"potato\"},\n {\"box_2d\": [401, 550, 499, 583], \"label\": \"potato\"},\n {\"box_2d\": [831, 544, 921, 578], \"label\": \"potato\"},\n {\"box_2d\": [918, 549, 974, 575], \"label\": \"potato\"},\n {\"box_2d\": [5, 600, 84, 631], \"label\": \"potato\"},\n {\"box_2d\": [157, 589, 286, 646], \"label\": \"potato\"},\n {\"box_2d\": [506, 591, 640, 639], \"label\": \"potato\"},\n {\"box_2d\": [704, 594, 774, 624], \"label\": \"potato\"},\n {\"box_2d\": [25, 631, 151, 680], \"label\": \"potato\"},\n {\"box_2d\": [452, 636, 553, 674], \"label\": \"potato\"},\n {\"box_2d\": [929, 721, 996, 749], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 3775, "elapsed_seconds": 39.79409408301581, "metadata": {"match_method": "map", "num_predictions": 60, "num_ground_truth": 60, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 40.2637}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 217, "image": "signatures_image_15_png_jpg.rf.6b815d82f5451daedc9c9077d66f9599.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [242, 74, 290, 401], \"label\": \"signature\"},\n {\"box_2d\": [229, 466, 281, 826], \"label\": \"signature\"},\n {\"box_2d\": [354, 71, 495, 433], \"label\": \"signature\"},\n {\"box_2d\": [412, 510, 480, 752], \"label\": \"signature\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 564, "elapsed_seconds": 9.405622124904767, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 9.4786}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 218, "image": "lot222_JPEG_jpg.rf.50df16e1f4326083fe341ec20a62dbe4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [168, 501, 187, 542], \"label\": \"chicory seed\"},\n {\"box_2d\": [171, 461, 198, 501], \"label\": \"chicory seed\"},\n {\"box_2d\": [181, 403, 209, 444], \"label\": \"chicory seed\"},\n {\"box_2d\": [189, 488, 210, 534], \"label\": \"chicory seed\"},\n {\"box_2d\": [170, 548, 199, 591], \"label\": \"chicory seed\"},\n {\"box_2d\": [181, 542, 210, 581], \"label\": \"chicory seed\"},\n {\"box_2d\": [191, 570, 227, 606], \"label\": \"chicory seed\"},\n {\"box_2d\": [188, 606, 221, 644], \"label\": \"chicory seed\"},\n {\"box_2d\": [200, 656, 234, 691], \"label\": \"chicory seed\"},\n {\"box_2d\": [222, 640, 248, 684], \"label\": \"chicory seed\"},\n {\"box_2d\": [209, 340, 228, 381], \"label\": \"chicory seed\"},\n {\"box_2d\": [201, 407, 234, 444], \"label\": \"chicory seed\"},\n {\"box_2d\": [194, 444, 231, 464], \"label\": \"chicory seed\"},\n {\"box_2d\": [200, 468, 241, 490], \"label\": \"chicory seed\"},\n {\"box_2d\": [217, 530, 254, 569], \"label\": \"chicory seed\"},\n {\"box_2d\": [225, 591, 265, 616], \"label\": \"chicory seed\"},\n {\"box_2d\": [232, 370, 250, 412], \"label\": \"chicory seed\"},\n {\"box_2d\": [247, 372, 267, 415], \"label\": \"chicory seed\"},\n {\"box_2d\": [235, 306, 267, 347], \"label\": \"chicory seed\"},\n {\"box_2d\": [244, 279, 283, 308], \"label\": \"chicory seed\"},\n {\"box_2d\": [218, 695, 252, 732], \"label\": \"chicory seed\"},\n {\"box_2d\": [232, 491, 264, 529], \"label\": \"chicory seed\"},\n {\"box_2d\": [245, 503, 276, 542], \"label\": \"chicory seed\"},\n {\"box_2d\": [242, 466, 280, 496], \"label\": \"chicory seed\"},\n {\"box_2d\": [245, 426, 287, 456], \"label\": \"chicory seed\"},\n {\"box_2d\": [252, 535, 280, 578], \"label\": \"chicory seed\"},\n {\"box_2d\": [263, 578, 286, 622], \"label\": \"chicory seed\"},\n {\"box_2d\": [248, 648, 271, 689], \"label\": \"chicory seed\"},\n {\"box_2d\": [263, 633, 290, 676], \"label\": \"chicory seed\"},\n {\"box_2d\": [249, 695, 270, 737], \"label\": \"chicory seed\"},\n {\"box_2d\": [249, 732, 290, 756], \"label\": \"chicory seed\"},\n {\"box_2d\": [258, 759, 298, 789], \"label\": \"chicory seed\"},\n {\"box_2d\": [269, 243, 306, 277], \"label\": \"chicory seed\"},\n {\"box_2d\": [276, 280, 304, 319], \"label\": \"chicory seed\"},\n {\"box_2d\": [263, 330, 302, 356], \"label\": \"chicory seed\"},\n {\"box_2d\": [261, 356, 306, 383], \"label\": \"chicory seed\"},\n {\"box_2d\": [265, 396, 308, 420], \"label\": \"chicory seed\"},\n {\"box_2d\": [273, 439, 301, 480], \"label\": \"chicory seed\"},\n {\"box_2d\": [273, 487, 292, 529], \"label\": \"chicory seed\"},\n {\"box_2d\": [281, 512, 306, 552], \"label\": \"chicory seed\"},\n {\"box_2d\": [277, 543, 314, 578], \"label\": \"chicory seed\"},\n {\"box_2d\": [273, 678, 312, 700], \"label\": \"chicory seed\"},\n {\"box_2d\": [268, 702, 308, 723], \"label\": \"chicory seed\"},\n {\"box_2d\": [278, 720, 318, 748], \"label\": \"chicory seed\"},\n {\"box_2d\": [289, 743, 321, 777], \"label\": \"chicory seed\"},\n {\"box_2d\": [294, 303, 325, 342], \"label\": \"chicory seed\"},\n {\"box_2d\": [306, 259, 330, 300], \"label\": \"chicory seed\"},\n {\"box_2d\": [312, 208, 336, 250], \"label\": \"chicory seed\"},\n {\"box_2d\": [331, 214, 353, 257], \"label\": \"chicory seed\"},\n {\"box_2d\": [324, 284, 353, 322], \"label\": \"chicory seed\"},\n {\"box_2d\": [321, 312, 357, 345], \"label\": \"chicory seed\"},\n {\"box_2d\": [313, 356, 333, 399], \"label\": \"chicory seed\"},\n {\"box_2d\": [308, 395, 338, 435], \"label\": \"chicory seed\"},\n {\"box_2d\": [294, 442, 319, 484], \"label\": \"chicory seed\"},\n {\"box_2d\": [302, 496, 323, 540], \"label\": \"chicory seed\"},\n {\"box_2d\": [318, 534, 339, 578], \"label\": \"chicory seed\"},\n {\"box_2d\": [320, 443, 361, 466], \"label\": \"chicory seed\"},\n {\"box_2d\": [320, 465, 362, 492], \"label\": \"chicory seed\"},\n {\"box_2d\": [325, 498, 347, 543], \"label\": \"chicory seed\"},\n {\"box_2d\": [338, 491, 379, 512], \"label\": \"chicory seed\"},\n {\"box_2d\": [338, 537, 369, 582], \"label\": \"chicory seed\"},\n {\"box_2d\": [298, 612, 339, 640], \"label\": \"chicory seed\"},\n {\"box_2d\": [336, 615, 369, 651], \"label\": \"chicory seed\"},\n {\"box_2d\": [311, 697, 347, 735], \"label\": \"chicory seed\"},\n {\"box_2d\": [323, 717, 358, 752], \"label\": \"chicory seed\"},\n {\"box_2d\": [318, 754, 340, 797], \"label\": \"chicory seed\"},\n {\"box_2d\": [333, 795, 359, 835], \"label\": \"chicory seed\"},\n {\"box_2d\": [354, 819, 391, 853], \"label\": \"chicory seed\"},\n {\"box_2d\": [363, 801, 404, 823], \"label\": \"chicory seed\"},\n {\"box_2d\": [345, 244, 376, 285], \"label\": \"chicory seed\"},\n {\"box_2d\": [355, 267, 394, 300], \"label\": \"chicory seed\"},\n {\"box_2d\": [374, 278, 412, 311], \"label\": \"chicory seed\"},\n {\"box_2d\": [355, 300, 383, 339], \"label\": \"chicory seed\"},\n {\"box_2d\": [346, 342, 386, 371], \"label\": \"chicory seed\"},\n {\"box_2d\": [347, 364, 381, 398], \"label\": \"chicory seed\"},\n {\"box_2d\": [346, 421, 383, 459], \"label\": \"chicory seed\"},\n {\"box_2d\": [373, 381, 395, 420], \"label\": \"chicory seed\"},\n {\"box_2d\": [381, 365, 417, 396], \"label\": \"chicory seed\"},\n {\"box_2d\": [387, 405, 416, 443], \"label\": \"chicory seed\"},\n {\"box_2d\": [375, 471, 407, 509], \"label\": \"chicory seed\"},\n {\"box_2d\": [373, 614, 399, 658], \"label\": \"chicory seed\"},\n {\"box_2d\": [365, 678, 404, 709], \"label\": \"chicory seed\"},\n {\"box_2d\": [360, 695, 397, 733], \"label\": \"chicory seed\"},\n {\"box_2d\": [363, 730, 386, 773], \"label\": \"chicory seed\"},\n {\"box_2d\": [397, 655, 419, 697], \"label\": \"chicory seed\"},\n {\"box_2d\": [405, 719, 427, 763], \"label\": \"chicory seed\"},\n {\"box_2d\": [395, 767, 430, 805], \"label\": \"chicory seed\"},\n {\"box_2d\": [410, 169, 431, 214], \"label\": \"chicory seed\"},\n {\"box_2d\": [429, 171, 451, 212], \"label\": \"chicory seed\"},\n {\"box_2d\": [395, 217, 426, 256], \"label\": \"chicory seed\"},\n {\"box_2d\": [412, 219, 442, 260], \"label\": \"chicory seed\"},\n {\"box_2d\": [400, 252, 435, 289], \"label\": \"chicory seed\"},\n {\"box_2d\": [395, 290, 434, 321], \"label\": \"chicory seed\"},\n {\"box_2d\": [398, 307, 432, 346], \"label\": \"chicory seed\"},\n {\"box_2d\": [432, 230, 463, 270], \"label\": \"chicory seed\"},\n {\"box_2d\": [432, 283, 460, 323], \"label\": \"chicory seed\"},\n {\"box_2d\": [412, 336, 447, 375], \"label\": \"chicory seed\"},\n {\"box_2d\": [426, 364, 465, 388], \"label\": \"chicory seed\"},\n {\"box_2d\": [416, 392, 455, 418], \"label\": \"chicory seed\"},\n {\"box_2d\": [406, 416, 446, 446], \"label\": \"chicory seed\"},\n {\"box_2d\": [407, 436, 446, 469], \"label\": \"chicory seed\"},\n {\"box_2d\": [442, 425, 477, 461], \"label\": \"chicory seed\"},\n {\"box_2d\": [432, 478, 454, 522], \"label\": \"chicory seed\"},\n {\"box_2d\": [393, 531, 435, 558], \"label\": \"chicory seed\"},\n {\"box_2d\": [413, 555, 454, 578], \"label\": \"chicory seed\"},\n {\"box_2d\": [411, 575, 452, 597], \"label\": \"chicory seed\"},\n {\"box_2d\": [425, 594, 465, 621], \"label\": \"chicory seed\"},\n {\"box_2d\": [413, 610, 438, 654], \"label\": \"chicory seed\"},\n {\"box_2d\": [424, 650, 465, 678], \"label\": \"chicory seed\"},\n {\"box_2d\": [427, 679, 462, 711], \"label\": \"chicory seed\"},\n {\"box_2d\": [414, 686, 446, 722], \"label\": \"chicory seed\"},\n {\"box_2d\": [419, 751, 444, 793], \"label\": \"chicory seed\"},\n {\"box_2d\": [430, 743, 462, 784], \"label\": \"chicory seed\"},\n {\"box_2d\": [414, 830, 453, 865], \"label\": \"chicory seed\"},\n {\"box_2d\": [444, 856, 485, 882], \"label\": \"chicory seed\"},\n {\"box_2d\": [446, 187, 477, 227], \"label\": \"chicory seed\"},\n {\"box_2d\": [466, 195, 491, 236], \"label\": \"chicory seed\"},\n {\"box_2d\": [476, 162, 519, 184], \"label\": \"chicory seed\"},\n {\"box_2d\": [454, 235, 494, 265], \"label\": \"chicory seed\"},\n {\"box_2d\": [451, 264, 494, 287], \"label\": \"chicory seed\"},\n {\"box_2d\": [448, 298, 482, 338], \"label\": \"chicory seed\"},\n {\"box_2d\": [469, 300, 502, 338], \"label\": \"chicory seed\"},\n {\"box_2d\": [482, 314, 511, 357], \"label\": \"chicory seed\"},\n {\"box_2d\": [486, 227, 519, 267], \"label\": \"chicory seed\"},\n {\"box_2d\": [508, 230, 540, 268], \"label\": \"chicory seed\"},\n {\"box_2d\": [499, 272, 521, 315], \"label\": \"chicory seed\"},\n {\"box_2d\": [507, 264, 542, 303], \"label\": \"chicory seed\"},\n {\"box_2d\": [472, 364, 491, 407], \"label\": \"chicory seed\"},\n {\"box_2d\": [488, 363, 509, 405], \"label\": \"chicory seed\"},\n {\"box_2d\": [466, 403, 504, 435], \"label\": \"chicory seed\"},\n {\"box_2d\": [470, 441, 496, 482], \"label\": \"chicory seed\"},\n {\"box_2d\": [455, 462, 475, 505], \"label\": \"chicory seed\"},\n {\"box_2d\": [442, 499, 482, 528], \"label\": \"chicory seed\"},\n {\"box_2d\": [434, 520, 472, 555], \"label\": \"chicory seed\"},\n {\"box_2d\": [448, 535, 489, 570], \"label\": \"chicory seed\"},\n {\"box_2d\": [454, 555, 495, 588], \"label\": \"chicory seed\"},\n {\"box_2d\": [467, 567, 506, 604], \"label\": \"chicory seed\"},\n {\"box_2d\": [470, 513, 513, 536], \"label\": \"chicory seed\"},\n {\"box_2d\": [488, 463, 531, 488], \"label\": \"chicory seed\"},\n {\"box_2d\": [491, 482, 531, 507], \"label\": \"chicory seed\"},\n {\"box_2d\": [498, 424, 530, 464], \"label\": \"chicory seed\"},\n {\"box_2d\": [504, 392, 529, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [475, 597, 510, 636], \"label\": \"chicory seed\"},\n {\"box_2d\": [445, 638, 488, 661], \"label\": \"chicory seed\"},\n {\"box_2d\": [461, 676, 486, 720], \"label\": \"chicory seed\"},\n {\"box_2d\": [461, 721, 485, 764], \"label\": \"chicory seed\"},\n {\"box_2d\": [463, 754, 504, 781], \"label\": \"chicory seed\"},\n {\"box_2d\": [480, 714, 503, 756], \"label\": \"chicory seed\"},\n {\"box_2d\": [486, 657, 528, 683], \"label\": \"chicory seed\"},\n {\"box_2d\": [493, 681, 525, 721], \"label\": \"chicory seed\"},\n {\"box_2d\": [466, 796, 494, 839], \"label\": \"chicory seed\"},\n {\"box_2d\": [484, 797, 513, 840], \"label\": \"chicory seed\"},\n {\"box_2d\": [489, 764, 525, 802], \"label\": \"chicory seed\"},\n {\"box_2d\": [501, 726, 532, 769], \"label\": \"chicory seed\"},\n {\"box_2d\": [514, 719, 552, 760], \"label\": \"chicory seed\"},\n {\"box_2d\": [512, 792, 533, 836], \"label\": \"chicory seed\"},\n {\"box_2d\": [512, 856, 555, 879], \"label\": \"chicory seed\"},\n {\"box_2d\": [527, 173, 562, 212], \"label\": \"chicory seed\"},\n {\"box_2d\": [562, 210, 590, 252], \"label\": \"chicory seed\"},\n {\"box_2d\": [533, 245, 567, 286], \"label\": \"chicory seed\"},\n {\"box_2d\": [527, 302, 569, 325], \"label\": \"chicory seed\"},\n {\"box_2d\": [553, 286, 594, 315], \"label\": \"chicory seed\"},\n {\"box_2d\": [531, 319, 573, 350], \"label\": \"chicory seed\"},\n {\"box_2d\": [512, 328, 551, 356], \"label\": \"chicory seed\"},\n {\"box_2d\": [510, 341, 549, 378], \"label\": \"chicory seed\"},\n {\"box_2d\": [510, 366, 544, 405], \"label\": \"chicory seed\"},\n {\"box_2d\": [523, 402, 545, 444], \"label\": \"chicory seed\"},\n {\"box_2d\": [545, 347, 582, 373], \"label\": \"chicory seed\"},\n {\"box_2d\": [544, 367, 565, 409], \"label\": \"chicory seed\"},\n {\"box_2d\": [557, 405, 592, 444], \"label\": \"chicory seed\"},\n {\"box_2d\": [547, 427, 568, 472], \"label\": \"chicory seed\"},\n {\"box_2d\": [513, 500, 533, 541], \"label\": \"chicory seed\"},\n {\"box_2d\": [498, 537, 523, 579], \"label\": \"chicory seed\"},\n {\"box_2d\": [507, 578, 549, 601], \"label\": \"chicory seed\"},\n {\"box_2d\": [506, 602, 547, 625], \"label\": \"chicory seed\"},\n {\"box_2d\": [518, 543, 554, 583], \"label\": \"chicory seed\"},\n {\"box_2d\": [534, 534, 572, 573], \"label\": \"chicory seed\"},\n {\"box_2d\": [530, 500, 575, 524], \"label\": \"chicory seed\"},\n {\"box_2d\": [543, 476, 584, 505], \"label\": \"chicory seed\"},\n {\"box_2d\": [556, 466, 600, 492], \"label\": \"chicory seed\"},\n {\"box_2d\": [550, 525, 592, 560], \"label\": \"chicory seed\"},\n {\"box_2d\": [544, 574, 572, 616], \"label\": \"chicory seed\"},\n {\"box_2d\": [526, 622, 549, 665], \"label\": \"chicory seed\"},\n {\"box_2d\": [526, 665, 556, 706], \"label\": \"chicory seed\"},\n {\"box_2d\": [524, 704, 566, 738], \"label\": \"chicory seed\"},\n {\"box_2d\": [548, 669, 576, 713], \"label\": \"chicory seed\"},\n {\"box_2d\": [531, 763, 553, 807], \"label\": \"chicory seed\"},\n {\"box_2d\": [533, 811, 565, 852], \"label\": \"chicory seed\"},\n {\"box_2d\": [552, 783, 588, 822], \"label\": \"chicory seed\"},\n {\"box_2d\": [566, 755, 593, 798], \"label\": \"chicory seed\"},\n {\"box_2d\": [564, 623, 591, 667], \"label\": \"chicory seed\"},\n {\"box_2d\": [566, 581, 590, 625], \"label\": \"chicory seed\"},\n {\"box_2d\": [570, 558, 608, 590], \"label\": \"chicory seed\"},\n {\"box_2d\": [574, 255, 605, 295], \"label\": \"chicory seed\"},\n {\"box_2d\": [606, 258, 640, 295], \"label\": \"chicory seed\"},\n {\"box_2d\": [574, 319, 594, 364], \"label\": \"chicory seed\"},\n {\"box_2d\": [588, 311, 611, 355], \"label\": \"chicory seed\"},\n {\"box_2d\": [604, 307, 639, 349], \"label\": \"chicory seed\"},\n {\"box_2d\": [616, 297, 658, 320], \"label\": \"chicory seed\"},\n {\"box_2d\": [568, 371, 593, 412], \"label\": \"chicory seed\"},\n {\"box_2d\": [581, 365, 616, 405], \"label\": \"chicory seed\"},\n {\"box_2d\": [589, 352, 633, 374], \"label\": \"chicory seed\"},\n {\"box_2d\": [585, 404, 615, 444], \"label\": \"chicory seed\"},\n {\"box_2d\": [606, 392, 629, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [612, 366, 651, 393], \"label\": \"chicory seed\"},\n {\"box_2d\": [616, 410, 646, 451], \"label\": \"chicory seed\"},\n {\"box_2d\": [577, 444, 618, 467], \"label\": \"chicory seed\"},\n {\"box_2d\": [601, 452, 627, 495], \"label\": \"chicory seed\"},\n {\"box_2d\": [578, 495, 601, 538], \"label\": \"chicory seed\"},\n {\"box_2d\": [594, 490, 617, 526], \"label\": \"chicory seed\"},\n {\"box_2d\": [592, 524, 621, 567], \"label\": \"chicory seed\"},\n {\"box_2d\": [614, 488, 647, 528], \"label\": \"chicory seed\"},\n {\"box_2d\": [616, 524, 646, 568], \"label\": \"chicory seed\"},\n {\"box_2d\": [590, 589, 625, 629], \"label\": \"chicory seed\"},\n {\"box_2d\": [582, 620, 618, 661], \"label\": \"chicory seed\"},\n {\"box_2d\": [580, 660, 623, 684], \"label\": \"chicory seed\"},\n {\"box_2d\": [584, 677, 626, 709], \"label\": \"chicory seed\"},\n {\"box_2d\": [574, 686, 614, 720], \"label\": \"chicory seed\"},\n {\"box_2d\": [567, 712, 609, 736], \"label\": \"chicory seed\"},\n {\"box_2d\": [566, 735, 609, 759], \"label\": \"chicory seed\"},\n {\"box_2d\": [589, 759, 619, 801], \"label\": \"chicory seed\"},\n {\"box_2d\": [601, 644, 642, 667], \"label\": \"chicory seed\"},\n {\"box_2d\": [622, 591, 645, 634], \"label\": \"chicory seed\"},\n {\"box_2d\": [609, 710, 632, 755], \"label\": \"chicory seed\"},\n {\"box_2d\": [614, 756, 635, 800], \"label\": \"chicory seed\"},\n {\"box_2d\": [590, 802, 625, 842], \"label\": \"chicory seed\"},\n {\"box_2d\": [572, 845, 613, 869], \"label\": \"chicory seed\"},\n {\"box_2d\": [630, 792, 655, 837], \"label\": \"chicory seed\"},\n {\"box_2d\": [640, 216, 683, 240], \"label\": \"chicory seed\"},\n {\"box_2d\": [639, 315, 676, 353], \"label\": \"chicory seed\"},\n {\"box_2d\": [648, 338, 684, 377], \"label\": \"chicory seed\"},\n {\"box_2d\": [629, 376, 669, 407], \"label\": \"chicory seed\"},\n {\"box_2d\": [668, 349, 703, 387], \"label\": \"chicory seed\"},\n {\"box_2d\": [654, 386, 695, 410], \"label\": \"chicory seed\"},\n {\"box_2d\": [650, 412, 693, 437], \"label\": \"chicory seed\"},\n {\"box_2d\": [659, 427, 700, 455], \"label\": \"chicory seed\"},\n {\"box_2d\": [623, 436, 659, 474], \"label\": \"chicory seed\"},\n {\"box_2d\": [622, 459, 663, 491], \"label\": \"chicory seed\"},\n {\"box_2d\": [634, 476, 677, 501], \"label\": \"chicory seed\"},\n {\"box_2d\": [642, 496, 683, 521], \"label\": \"chicory seed\"},\n {\"box_2d\": [654, 514, 694, 545], \"label\": \"chicory seed\"},\n {\"box_2d\": [631, 544, 663, 586], \"label\": \"chicory seed\"},\n {\"box_2d\": [644, 571, 678, 610], \"label\": \"chicory seed\"},\n {\"box_2d\": [664, 560, 692, 602], \"label\": \"chicory seed\"},\n {\"box_2d\": [641, 610, 671, 652], \"label\": \"chicory seed\"},\n {\"box_2d\": [622, 661, 663, 686], \"label\": \"chicory seed\"},\n {\"box_2d\": [647, 634, 676, 674], \"label\": \"chicory seed\"},\n {\"box_2d\": [639, 677, 682, 702], \"label\": \"chicory seed\"},\n {\"box_2d\": [628, 717, 649, 761], \"label\": \"chicory seed\"},\n {\"box_2d\": [646, 712, 667, 757], \"label\": \"chicory seed\"},\n {\"box_2d\": [635, 760, 671, 798], \"label\": \"chicory seed\"},\n {\"box_2d\": [661, 717, 692, 760], \"label\": \"chicory seed\"},\n {\"box_2d\": [679, 698, 703, 743], \"label\": \"chicory seed\"},\n {\"box_2d\": [671, 641, 707, 681], \"label\": \"chicory seed\"},\n {\"box_2d\": [682, 608, 721, 644], \"label\": \"chicory seed\"},\n {\"box_2d\": [680, 789, 720, 817], \"label\": \"chicory seed\"},\n {\"box_2d\": [684, 291, 710, 332], \"label\": \"chicory seed\"},\n {\"box_2d\": [696, 233, 729, 272], \"label\": \"chicory seed\"},\n {\"box_2d\": [701, 271, 743, 297], \"label\": \"chicory seed\"},\n {\"box_2d\": [723, 289, 765, 315], \"label\": \"chicory seed\"},\n {\"box_2d\": [708, 315, 749, 339], \"label\": \"chicory seed\"},\n {\"box_2d\": [726, 336, 747, 378], \"label\": \"chicory seed\"},\n {\"box_2d\": [739, 252, 772, 292], \"label\": \"chicory seed\"},\n {\"box_2d\": [763, 286, 782, 331], \"label\": \"chicory seed\"},\n {\"box_2d\": [668, 453, 703, 491], \"label\": \"chicory seed\"},\n {\"box_2d\": [681, 492, 720, 519], \"label\": \"chicory seed\"},\n {\"box_2d\": [700, 514, 741, 545], \"label\": \"chicory seed\"},\n {\"box_2d\": [689, 542, 711, 587], \"label\": \"chicory seed\"},\n {\"box_2d\": [710, 461, 750, 492], \"label\": \"chicory seed\"},\n {\"box_2d\": [717, 489, 745, 532], \"label\": \"chicory seed\"},\n {\"box_2d\": [719, 413, 740, 455], \"label\": \"chicory seed\"},\n {\"box_2d\": [733, 386, 775, 409], \"label\": \"chicory seed\"},\n {\"box_2d\": [741, 488, 761, 531], \"label\": \"chicory seed\"},\n {\"box_2d\": [746, 448, 774, 490], \"label\": \"chicory seed\"},\n {\"box_2d\": [758, 482, 787, 524], \"label\": \"chicory seed\"},\n {\"box_2d\": [711, 562, 750, 599], \"label\": \"chicory seed\"},\n {\"box_2d\": [721, 582, 754, 624], \"label\": \"chicory seed\"},\n {\"box_2d\": [739, 538, 779, 560], \"label\": \"chicory seed\"},\n {\"box_2d\": [697, 680, 716, 722], \"label\": \"chicory seed\"},\n {\"box_2d\": [700, 717, 729, 759], \"label\": \"chicory seed\"},\n {\"box_2d\": [723, 661, 744, 705], \"label\": \"chicory seed\"},\n {\"box_2d\": [737, 691, 757, 737], \"label\": \"chicory seed\"},\n {\"box_2d\": [724, 734, 768, 756], \"label\": \"chicory seed\"},\n {\"box_2d\": [746, 645, 773, 686], \"label\": \"chicory seed\"},\n {\"box_2d\": [749, 595, 784, 629], \"label\": \"chicory seed\"},\n {\"box_2d\": [769, 316, 807, 349], \"label\": \"chicory seed\"},\n {\"box_2d\": [764, 360, 786, 403], \"label\": \"chicory seed\"},\n {\"box_2d\": [795, 360, 815, 402], \"label\": \"chicory seed\"},\n {\"box_2d\": [812, 357, 837, 400], \"label\": \"chicory seed\"},\n {\"box_2d\": [775, 405, 818, 430], \"label\": \"chicory seed\"},\n {\"box_2d\": [775, 441, 818, 463], \"label\": \"chicory seed\"},\n {\"box_2d\": [768, 458, 811, 485], \"label\": \"chicory seed\"},\n {\"box_2d\": [789, 488, 830, 516], \"label\": \"chicory seed\"},\n {\"box_2d\": [785, 517, 813, 560], \"label\": \"chicory seed\"},\n {\"box_2d\": [814, 535, 835, 583], \"label\": \"chicory seed\"},\n {\"box_2d\": [770, 608, 810, 633], \"label\": \"chicory seed\"},\n {\"box_2d\": [759, 633, 795, 669], \"label\": \"chicory seed\"},\n {\"box_2d\": [776, 671, 800, 714], \"label\": \"chicory seed\"},\n {\"box_2d\": [795, 655, 818, 699], \"label\": \"chicory seed\"},\n {\"box_2d\": [794, 637, 833, 659], \"label\": \"chicory seed\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 18544, "elapsed_seconds": 106.24964079202618, "metadata": {"match_method": "map", "num_predictions": 300, "num_ground_truth": 299, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3366336524486542, "attempts": 1, "retries": 0, "total_seconds": 106.3841}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 219, "image": "66_png.rf.39bf6d177f61078e6d35cc7449f636fc.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [33, 259, 94, 309], \"label\": \"not gate symbol\"},\n {\"box_2d\": [248, 109, 321, 152], \"label\": \"not gate symbol\"},\n {\"box_2d\": [248, 162, 321, 205], \"label\": \"not gate symbol\"},\n {\"box_2d\": [410, 504, 483, 546], \"label\": \"not gate symbol\"},\n {\"box_2d\": [659, 259, 720, 309], \"label\": \"not gate symbol\"},\n {\"box_2d\": [905, 259, 966, 309], \"label\": \"not gate symbol\"},\n {\"box_2d\": [156, 252, 237, 332], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [326, 252, 408, 332], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [173, 567, 256, 646], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [478, 567, 560, 646], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [630, 567, 711, 646], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [781, 567, 864, 646], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [554, 777, 635, 856], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [801, 777, 882, 856], \"label\": \"nand gate symbol\"}\n]\n```", "correct": true, "input_tokens": 1222, "output_tokens": 1501, "elapsed_seconds": 11.646812499966472, "metadata": {"match_method": "map", "num_predictions": 14, "num_ground_truth": 14, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 11.6537}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 220, "image": "car-part-detection_Car-damages-1497_png_jpg.rf.e852cda680508c1a167266952897c9ec.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [540, 82, 755, 179], \"label\": \"back bumper\"},\n {\"box_2d\": [427, 97, 546, 166], \"label\": \"tail light\"},\n {\"box_2d\": [254, 118, 410, 205], \"label\": \"back windshield\"},\n {\"box_2d\": [248, 251, 424, 475], \"label\": \"back window\"},\n {\"box_2d\": [238, 232, 735, 504], \"label\": \"back door\"},\n {\"box_2d\": [251, 507, 462, 750], \"label\": \"front window\"},\n {\"box_2d\": [239, 490, 730, 783], \"label\": \"front door\"},\n {\"box_2d\": [400, 737, 461, 767], \"label\": \"mirror\"},\n {\"box_2d\": [450, 898, 540, 976], \"label\": \"headlight\"},\n {\"box_2d\": [529, 931, 744, 992], \"label\": \"front bumper\"},\n {\"box_2d\": [381, 822, 478, 953], \"label\": \"hood\"}\n]\n```", "correct": true, "input_tokens": 1232, "output_tokens": 1044, "elapsed_seconds": 10.936109625035897, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 14, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8754124641418457, "attempts": 1, "retries": 0, "total_seconds": 10.9513}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 221, "image": "51_jpg.rf.058febb668fb3dcd1ddaf96ac46d336e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [64, 192, 383, 245], \"label\": \"blood sample tube\"},\n {\"box_2d\": [148, 231, 397, 425], \"label\": \"blood sample tube\"},\n {\"box_2d\": [48, 281, 162, 520], \"label\": \"blood sample tube\"},\n {\"box_2d\": [42, 469, 108, 709], \"label\": \"blood sample tube\"},\n {\"box_2d\": [38, 708, 100, 956], \"label\": \"blood sample tube\"},\n {\"box_2d\": [91, 661, 156, 916], \"label\": \"blood sample tube\"},\n {\"box_2d\": [106, 522, 223, 761], \"label\": \"blood sample tube\"},\n {\"box_2d\": [167, 569, 300, 811], \"label\": \"blood sample tube\"},\n {\"box_2d\": [167, 431, 319, 661], \"label\": \"blood sample tube\"},\n {\"box_2d\": [117, 777, 378, 961], \"label\": \"blood sample tube\"},\n {\"box_2d\": [181, 861, 497, 970], \"label\": \"blood sample tube\"},\n {\"box_2d\": [280, 652, 567, 814], \"label\": \"blood sample tube\"},\n {\"box_2d\": [381, 472, 656, 642], \"label\": \"blood sample tube\"},\n {\"box_2d\": [270, 281, 569, 408], \"label\": \"blood sample tube\"},\n {\"box_2d\": [350, 197, 634, 338], \"label\": \"blood sample tube\"},\n {\"box_2d\": [525, 327, 631, 567], \"label\": \"blood sample tube\"},\n {\"box_2d\": [584, 331, 694, 572], \"label\": \"blood sample tube\"},\n {\"box_2d\": [656, 195, 761, 444], \"label\": \"blood sample tube\"},\n {\"box_2d\": [689, 412, 758, 656], \"label\": \"blood sample tube\"},\n {\"box_2d\": [484, 612, 669, 850], \"label\": \"blood sample tube\"},\n {\"box_2d\": [584, 645, 756, 888], \"label\": \"blood sample tube\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 2128, "elapsed_seconds": 17.581904541002586, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 21, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 17.6011}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 222, "image": "161056d_JPG_jpg.rf.9a7d680b73d40b7f57e4788c75d35faa.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [262, 395, 351, 530], \"label\": \"cracked insulator\"},\n {\"box_2d\": [468, 393, 561, 520], \"label\": \"cracked insulator\"}\n]\n```", "correct": false, "input_tokens": 1217, "output_tokens": 2046, "elapsed_seconds": 31.869480209075846, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5049505233764648, "attempts": 1, "retries": 0, "total_seconds": 32.423}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 223, "image": "signatures_image_176_png_jpg.rf.ba5b095c7ba79857b44be19e553b8621.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [529, 183, 581, 260], \"label\": \"signature\"},\n {\"box_2d\": [576, 183, 613, 221], \"label\": \"signature\"},\n {\"box_2d\": [562, 452, 598, 489], \"label\": \"signature\"},\n {\"box_2d\": [551, 655, 591, 718], \"label\": \"signature\"},\n {\"box_2d\": [591, 805, 635, 897], \"label\": \"signature\"}\n]\n```", "correct": true, "input_tokens": 1228, "output_tokens": 728, "elapsed_seconds": 12.54262508393731, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 12.7177}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 224, "image": "floorplan-windows-doors_10363_png.rf.022a393bcce41347db46c0ae8f821ac1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [172, 246, 229, 309], \"label\": \"door\"},\n {\"box_2d\": [205, 309, 244, 357], \"label\": \"door\"},\n {\"box_2d\": [245, 384, 293, 440], \"label\": \"door\"},\n {\"box_2d\": [166, 441, 223, 502], \"label\": \"door\"},\n {\"box_2d\": [257, 526, 305, 583], \"label\": \"door\"},\n {\"box_2d\": [167, 637, 222, 764], \"label\": \"door\"},\n {\"box_2d\": [533, 634, 590, 712], \"label\": \"door\"},\n {\"box_2d\": [598, 309, 642, 360], \"label\": \"door\"},\n {\"box_2d\": [641, 366, 701, 437], \"label\": \"door\"},\n {\"box_2d\": [731, 368, 795, 422], \"label\": \"door\"},\n {\"box_2d\": [109, 80, 193, 102], \"label\": \"window\"},\n {\"box_2d\": [328, 80, 359, 102], \"label\": \"window\"},\n {\"box_2d\": [128, 691, 167, 712], \"label\": \"window\"},\n {\"box_2d\": [283, 685, 319, 711], \"label\": \"window\"},\n {\"box_2d\": [459, 77, 590, 97], \"label\": \"window\"},\n {\"box_2d\": [485, 692, 535, 713], \"label\": \"window\"},\n {\"box_2d\": [596, 691, 672, 713], \"label\": \"window\"}\n]\n```", "correct": true, "input_tokens": 1223, "output_tokens": 2763, "elapsed_seconds": 25.033538208925165, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 19, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8717821836471558, "attempts": 1, "retries": 0, "total_seconds": 25.07}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 225, "image": "paper-parts_194472_30_jpg.rf.b0a602d4dcc7284ce0bac985bedfd7a6.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [93, 176, 213, 882], \"label\": \"paragraph\"},\n {\"box_2d\": [232, 176, 248, 417], \"label\": \"paragraph\"},\n {\"box_2d\": [267, 176, 353, 882], \"label\": \"paragraph\"},\n {\"box_2d\": [378, 419, 529, 699], \"label\": \"figure\"},\n {\"box_2d\": [552, 446, 568, 671], \"label\": \"figure caption\"},\n {\"box_2d\": [586, 235, 613, 682], \"label\": \"paragraph\"},\n {\"box_2d\": [629, 402, 661, 654], \"label\": \"equation\"},\n {\"box_2d\": [669, 453, 685, 604], \"label\": \"equation\"},\n {\"box_2d\": [704, 456, 731, 882], \"label\": \"equation\"},\n {\"box_2d\": [748, 176, 798, 882], \"label\": \"paragraph\"},\n {\"box_2d\": [818, 235, 850, 646], \"label\": \"paragraph\"},\n {\"box_2d\": [868, 390, 883, 667], \"label\": \"equation\"},\n {\"box_2d\": [885, 521, 900, 539], \"label\": \"page number\"}\n]\n```", "correct": false, "input_tokens": 1248, "output_tokens": 6238, "elapsed_seconds": 58.335174957988784, "metadata": {"match_method": "map", "num_predictions": 13, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6881187558174133, "attempts": 2, "retries": 1, "total_seconds": 121.5467, "transient_errors": ["RemoteProtocolError"]}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 226, "image": "IMG_6641_jpeg_jpg.rf.d4a1ba083ff18ae1c9807cc69a86b03e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [569, 4, 598, 198], \"label\": \"blue poker chip\"},\n {\"box_2d\": [593, 3, 616, 196], \"label\": \"blue poker chip\"},\n {\"box_2d\": [609, 3, 634, 196], \"label\": \"blue poker chip\"},\n {\"box_2d\": [626, 2, 652, 195], \"label\": \"blue poker chip\"},\n {\"box_2d\": [643, 1, 670, 195], \"label\": \"blue poker chip\"},\n {\"box_2d\": [660, 1, 688, 195], \"label\": \"blue poker chip\"},\n {\"box_2d\": [675, 1, 706, 196], \"label\": \"blue poker chip\"},\n {\"box_2d\": [513, 198, 533, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [530, 198, 549, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [546, 197, 566, 379], \"label\": \"green poker chip\"},\n {\"box_2d\": [562, 197, 584, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [579, 196, 601, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [594, 196, 618, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [610, 195, 636, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [627, 196, 654, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [642, 196, 672, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [659, 195, 690, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [675, 195, 709, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [429, 383, 451, 561], \"label\": \"red poker chip\"},\n {\"box_2d\": [446, 384, 466, 561], \"label\": \"red poker chip\"},\n {\"box_2d\": [463, 384, 483, 562], \"label\": \"red poker chip\"},\n {\"box_2d\": [480, 385, 500, 562], \"label\": \"red poker chip\"},\n {\"box_2d\": [497, 384, 515, 563], \"label\": \"red poker chip\"},\n {\"box_2d\": [513, 383, 533, 563], \"label\": \"red poker chip\"},\n {\"box_2d\": [530, 383, 549, 563], \"label\": \"red poker chip\"},\n {\"box_2d\": [546, 384, 566, 564], \"label\": \"red poker chip\"},\n {\"box_2d\": [562, 385, 584, 565], \"label\": \"red poker chip\"},\n {\"box_2d\": [578, 385, 601, 565], \"label\": \"red poker chip\"},\n {\"box_2d\": [594, 386, 618, 565], \"label\": \"red poker chip\"},\n {\"box_2d\": [610, 386, 636, 565], \"label\": \"red poker chip\"},\n {\"box_2d\": [626, 386, 654, 566], \"label\": \"red poker chip\"},\n {\"box_2d\": [643, 385, 672, 567], \"label\": \"red poker chip\"},\n {\"box_2d\": [659, 385, 690, 567], \"label\": \"red poker chip\"},\n {\"box_2d\": [675, 386, 709, 568], \"label\": \"red poker chip\"},\n {\"box_2d\": [551, 568, 576, 757], \"label\": \"white poker chip\"},\n {\"box_2d\": [572, 569, 594, 758], \"label\": \"white poker chip\"},\n {\"box_2d\": [588, 570, 611, 759], \"label\": \"white poker chip\"},\n {\"box_2d\": [604, 571, 629, 759], \"label\": \"white poker chip\"},\n {\"box_2d\": [621, 572, 648, 760], \"label\": \"white poker chip\"},\n {\"box_2d\": [638, 572, 666, 760], \"label\": \"white poker chip\"},\n {\"box_2d\": [654, 572, 684, 761], \"label\": \"white poker chip\"},\n {\"box_2d\": [670, 572, 702, 762], \"label\": \"white poker chip\"},\n {\"box_2d\": [555, 755, 616, 958], \"label\": \"orange poker chip\"},\n {\"box_2d\": [590, 758, 635, 959], \"label\": \"orange poker chip\"},\n {\"box_2d\": [609, 758, 652, 959], \"label\": \"orange poker chip\"},\n {\"box_2d\": [625, 759, 671, 960], \"label\": \"orange poker chip\"},\n {\"box_2d\": [642, 759, 689, 962], \"label\": \"orange poker chip\"},\n {\"box_2d\": [659, 761, 707, 963], \"label\": \"orange poker chip\"},\n {\"box_2d\": [675, 761, 725, 963], \"label\": \"orange poker chip\"}\n]\n```", "correct": true, "input_tokens": 1243, "output_tokens": 3612, "elapsed_seconds": 24.459471750073135, "metadata": {"match_method": "map", "num_predictions": 49, "num_ground_truth": 49, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 24.4785}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 227, "image": "69_jpg.rf.832734e487772068d6b9bf469788de8f.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [14, 638, 323, 750], \"label\": \"blood sample tube\"},\n {\"box_2d\": [80, 588, 402, 637], \"label\": \"blood sample tube\"},\n {\"box_2d\": [349, 281, 411, 519], \"label\": \"blood sample tube\"},\n {\"box_2d\": [439, 495, 520, 736], \"label\": \"blood sample tube\"},\n {\"box_2d\": [535, 483, 746, 700], \"label\": \"blood sample tube\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 578, "elapsed_seconds": 6.263546500005759, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 6.2797}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 228, "image": "uav20221018_ixfZ_3857_431_png.rf.d4d8056faccd6284b96584515af21de0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 238, 38, 287], \"label\": \"banana tree\"},\n {\"box_2d\": [31, 181, 82, 227], \"label\": \"banana tree\"},\n {\"box_2d\": [69, 250, 104, 281], \"label\": \"banana tree\"},\n {\"box_2d\": [0, 431, 49, 474], \"label\": \"banana tree\"},\n {\"box_2d\": [33, 492, 82, 532], \"label\": \"banana tree\"},\n {\"box_2d\": [72, 424, 118, 480], \"label\": \"banana tree\"},\n {\"box_2d\": [109, 496, 141, 526], \"label\": \"banana tree\"},\n {\"box_2d\": [138, 434, 182, 482], \"label\": \"banana tree\"},\n {\"box_2d\": [175, 494, 215, 538], \"label\": \"banana tree\"},\n {\"box_2d\": [209, 438, 252, 488], \"label\": \"banana tree\"},\n {\"box_2d\": [242, 492, 288, 533], \"label\": \"banana tree\"},\n {\"box_2d\": [0, 708, 32, 750], \"label\": \"banana tree\"},\n {\"box_2d\": [18, 661, 61, 699], \"label\": \"banana tree\"},\n {\"box_2d\": [54, 712, 100, 757], \"label\": \"banana tree\"},\n {\"box_2d\": [88, 661, 128, 703], \"label\": \"banana tree\"},\n {\"box_2d\": [122, 715, 165, 762], \"label\": \"banana tree\"},\n {\"box_2d\": [162, 668, 202, 702], \"label\": \"banana tree\"},\n {\"box_2d\": [194, 716, 236, 755], \"label\": \"banana tree\"},\n {\"box_2d\": [228, 672, 269, 706], \"label\": \"banana tree\"},\n {\"box_2d\": [264, 722, 303, 756], \"label\": \"banana tree\"},\n {\"box_2d\": [303, 674, 345, 709], \"label\": \"banana tree\"},\n {\"box_2d\": [333, 725, 376, 764], \"label\": \"banana tree\"},\n {\"box_2d\": [374, 672, 412, 707], \"label\": \"banana tree\"},\n {\"box_2d\": [0, 954, 24, 991], \"label\": \"banana tree\"},\n {\"box_2d\": [38, 904, 72, 938], \"label\": \"banana tree\"},\n {\"box_2d\": [65, 958, 109, 997], \"label\": \"banana tree\"},\n {\"box_2d\": [109, 901, 151, 941], \"label\": \"banana tree\"},\n {\"box_2d\": [138, 954, 179, 998], \"label\": \"banana tree\"},\n {\"box_2d\": [178, 914, 215, 953], \"label\": \"banana tree\"},\n {\"box_2d\": [206, 962, 256, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [252, 922, 288, 954], \"label\": \"banana tree\"},\n {\"box_2d\": [275, 970, 322, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [318, 923, 360, 963], \"label\": \"banana tree\"},\n {\"box_2d\": [350, 973, 389, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [387, 932, 431, 967], \"label\": \"banana tree\"},\n {\"box_2d\": [418, 981, 456, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [458, 934, 498, 974], \"label\": \"banana tree\"},\n {\"box_2d\": [524, 937, 562, 971], \"label\": \"banana tree\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 2683, "elapsed_seconds": 23.784129375009798, "metadata": {"match_method": "map", "num_predictions": 38, "num_ground_truth": 38, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 23.8626}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 229, "image": "f39_jpg.rf.8a677bbf5bbbcde071dc3887db6e2b75.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [373, 429, 603, 591], \"label\": \"wildfire\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 1100, "elapsed_seconds": 15.668923459015787, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 15.7522}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 230, "image": "wood-log-detection_003_png_jpg.rf.34aeb3fc6262ec00696c0cc722964b3e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [50, 416, 79, 458], \"label\": \"log cross-section\"},\n {\"box_2d\": [55, 274, 91, 320], \"label\": \"log cross-section\"},\n {\"box_2d\": [74, 353, 105, 394], \"label\": \"log cross-section\"},\n {\"box_2d\": [85, 247, 117, 290], \"label\": \"log cross-section\"},\n {\"box_2d\": [88, 294, 123, 336], \"label\": \"log cross-section\"},\n {\"box_2d\": [83, 328, 109, 358], \"label\": \"log cross-section\"},\n {\"box_2d\": [103, 333, 138, 380], \"label\": \"log cross-section\"},\n {\"box_2d\": [100, 408, 130, 443], \"label\": \"log cross-section\"},\n {\"box_2d\": [111, 447, 141, 485], \"label\": \"log cross-section\"},\n {\"box_2d\": [111, 484, 148, 530], \"label\": \"log cross-section\"},\n {\"box_2d\": [108, 532, 139, 575], \"label\": \"log cross-section\"},\n {\"box_2d\": [109, 575, 148, 623], \"label\": \"log cross-section\"},\n {\"box_2d\": [81, 608, 122, 658], \"label\": \"log cross-section\"},\n {\"box_2d\": [124, 672, 159, 720], \"label\": \"log cross-section\"},\n {\"box_2d\": [109, 215, 138, 254], \"label\": \"log cross-section\"},\n {\"box_2d\": [119, 261, 150, 304], \"label\": \"log cross-section\"},\n {\"box_2d\": [128, 171, 168, 222], \"label\": \"log cross-section\"},\n {\"box_2d\": [140, 224, 175, 274], \"label\": \"log cross-section\"},\n {\"box_2d\": [147, 287, 179, 327], \"label\": \"log cross-section\"},\n {\"box_2d\": [134, 323, 171, 371], \"label\": \"log cross-section\"},\n {\"box_2d\": [136, 376, 169, 413], \"label\": \"log cross-section\"},\n {\"box_2d\": [142, 407, 178, 448], \"label\": \"log cross-section\"},\n {\"box_2d\": [138, 453, 168, 490], \"label\": \"log cross-section\"},\n {\"box_2d\": [140, 490, 175, 536], \"label\": \"log cross-section\"},\n {\"box_2d\": [134, 529, 168, 569], \"label\": \"log cross-section\"},\n {\"box_2d\": [141, 597, 180, 646], \"label\": \"log cross-section\"},\n {\"box_2d\": [135, 636, 169, 667], \"label\": \"log cross-section\"},\n {\"box_2d\": [167, 643, 198, 682], \"label\": \"log cross-section\"},\n {\"box_2d\": [166, 154, 195, 200], \"label\": \"log cross-section\"},\n {\"box_2d\": [187, 157, 221, 209], \"label\": \"log cross-section\"},\n {\"box_2d\": [168, 202, 202, 251], \"label\": \"log cross-section\"},\n {\"box_2d\": [163, 254, 194, 294], \"label\": \"log cross-section\"},\n {\"box_2d\": [199, 210, 238, 267], \"label\": \"log cross-section\"},\n {\"box_2d\": [197, 278, 226, 316], \"label\": \"log cross-section\"},\n {\"box_2d\": [201, 309, 242, 360], \"label\": \"log cross-section\"},\n {\"box_2d\": [175, 340, 203, 378], \"label\": \"log cross-section\"},\n {\"box_2d\": [199, 362, 234, 408], \"label\": \"log cross-section\"},\n {\"box_2d\": [181, 395, 209, 431], \"label\": \"log cross-section\"},\n {\"box_2d\": [177, 430, 205, 469], \"label\": \"log cross-section\"},\n {\"box_2d\": [205, 412, 232, 448], \"label\": \"log cross-section\"},\n {\"box_2d\": [222, 398, 248, 435], \"label\": \"log cross-section\"},\n {\"box_2d\": [200, 449, 234, 493], \"label\": \"log cross-section\"},\n {\"box_2d\": [188, 484, 217, 525], \"label\": \"log cross-section\"},\n {\"box_2d\": [184, 525, 205, 558], \"label\": \"log cross-section\"},\n {\"box_2d\": [197, 524, 230, 562], \"label\": \"log cross-section\"},\n {\"box_2d\": [175, 564, 207, 599], \"label\": \"log cross-section\"},\n {\"box_2d\": [186, 596, 220, 642], \"label\": \"log cross-section\"},\n {\"box_2d\": [197, 657, 226, 695], \"label\": \"log cross-section\"},\n {\"box_2d\": [180, 672, 207, 705], \"label\": \"log cross-section\"},\n {\"box_2d\": [205, 682, 241, 728], \"label\": \"log cross-section\"},\n {\"box_2d\": [233, 178, 260, 217], \"label\": \"log cross-section\"},\n {\"box_2d\": [235, 354, 271, 405], \"label\": \"log cross-section\"},\n {\"box_2d\": [230, 436, 268, 490], \"label\": \"log cross-section\"},\n {\"box_2d\": [231, 488, 265, 528], \"label\": \"log cross-section\"},\n {\"box_2d\": [219, 558, 248, 594], \"label\": \"log cross-section\"},\n {\"box_2d\": [247, 539, 286, 586], \"label\": \"log cross-section\"},\n {\"box_2d\": [224, 609, 262, 655], \"label\": \"log cross-section\"},\n {\"box_2d\": [254, 585, 290, 631], \"label\": \"log cross-section\"},\n {\"box_2d\": [259, 636, 297, 682], \"label\": \"log cross-section\"},\n {\"box_2d\": [241, 678, 275, 721], \"label\": \"log cross-section\"},\n {\"box_2d\": [303, 209, 333, 252], \"label\": \"log cross-section\"},\n {\"box_2d\": [294, 250, 323, 291], \"label\": \"log cross-section\"},\n {\"box_2d\": [293, 296, 323, 338], \"label\": \"log cross-section\"},\n {\"box_2d\": [331, 267, 350, 304], \"label\": \"log cross-section\"},\n {\"box_2d\": [323, 304, 349, 342], \"label\": \"log cross-section\"},\n {\"box_2d\": [309, 344, 339, 383], \"label\": \"log cross-section\"},\n {\"box_2d\": [326, 372, 349, 419], \"label\": \"log cross-section\"},\n {\"box_2d\": [300, 412, 331, 456], \"label\": \"log cross-section\"},\n {\"box_2d\": [305, 462, 334, 498], \"label\": \"log cross-section\"},\n {\"box_2d\": [301, 508, 339, 553], \"label\": \"log cross-section\"},\n {\"box_2d\": [321, 553, 344, 594], \"label\": \"log cross-section\"},\n {\"box_2d\": [309, 595, 339, 635], \"label\": \"log cross-section\"},\n {\"box_2d\": [301, 653, 330, 691], \"label\": \"log cross-section\"}\n]\n```", "correct": true, "input_tokens": 1228, "output_tokens": 5177, "elapsed_seconds": 44.09137945889961, "metadata": {"match_method": "map", "num_predictions": 73, "num_ground_truth": 78, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9306930899620056, "attempts": 1, "retries": 0, "total_seconds": 44.1069}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 231, "image": "basketball-player-detection_boston-celtics-new-york-knicks-game-1-q1-04-28-04-20-0185_png.rf.5bf3baa6a3ce5adfe29dab142647c8bc.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [199, 622, 266, 667], \"label\": \"basket rim\"},\n {\"box_2d\": [330, 470, 362, 487], \"label\": \"basketball\"},\n {\"box_2d\": [206, 0, 415, 42], \"label\": \"referee\"},\n {\"box_2d\": [254, 140, 455, 188], \"label\": \"player\"},\n {\"box_2d\": [342, 149, 545, 217], \"label\": \"player\"},\n {\"box_2d\": [375, 279, 601, 333], \"label\": \"player\"},\n {\"box_2d\": [297, 300, 495, 332], \"label\": \"player\"},\n {\"box_2d\": [182, 379, 371, 421], \"label\": \"player\"},\n {\"box_2d\": [252, 455, 459, 504], \"label\": \"player\"},\n {\"box_2d\": [295, 574, 515, 646], \"label\": \"player\"},\n {\"box_2d\": [347, 616, 605, 670], \"label\": \"player\"},\n {\"box_2d\": [258, 697, 467, 738], \"label\": \"referee\"},\n {\"box_2d\": [508, 452, 795, 509], \"label\": \"player\"},\n {\"box_2d\": [524, 412, 868, 462], \"label\": \"player\"},\n {\"box_2d\": [682, 551, 987, 631], \"label\": \"referee\"},\n {\"box_2d\": [309, 155, 329, 166], \"label\": \"jersey number\"},\n {\"box_2d\": [400, 184, 420, 192], \"label\": \"jersey number\"},\n {\"box_2d\": [421, 307, 446, 316], \"label\": \"jersey number\"},\n {\"box_2d\": [235, 399, 253, 411], \"label\": \"jersey number\"},\n {\"box_2d\": [308, 468, 328, 475], \"label\": \"jersey number\"},\n {\"box_2d\": [354, 615, 376, 629], \"label\": \"jersey number\"},\n {\"box_2d\": [399, 645, 422, 654], \"label\": \"jersey number\"},\n {\"box_2d\": [650, 433, 680, 443], \"label\": \"jersey number\"},\n {\"box_2d\": [787, 589, 810, 603], \"label\": \"jersey number\"}\n]\n```", "correct": false, "input_tokens": 1251, "output_tokens": 2709, "elapsed_seconds": 30.565533916000277, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 23, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6666666269302368, "attempts": 1, "retries": 0, "total_seconds": 30.6533}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 232, "image": "construction-safety_ppe_0016_jpg.rf.d53d80274c0b6fdd6cccc30b2f5316b2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [322, 69, 436, 177], \"label\": \"safety helmet\"},\n {\"box_2d\": [286, 185, 376, 260], \"label\": \"safety helmet\"},\n {\"box_2d\": [326, 331, 421, 404], \"label\": \"safety helmet\"},\n {\"box_2d\": [323, 485, 428, 574], \"label\": \"safety helmet\"},\n {\"box_2d\": [306, 579, 400, 675], \"label\": \"safety helmet\"},\n {\"box_2d\": [362, 678, 464, 775], \"label\": \"safety helmet\"},\n {\"box_2d\": [278, 745, 401, 855], \"label\": \"safety helmet\"},\n {\"box_2d\": [480, 260, 851, 441], \"label\": \"safety vest\"},\n {\"box_2d\": [474, 456, 789, 592], \"label\": \"safety vest\"},\n {\"box_2d\": [458, 573, 801, 700], \"label\": \"safety vest\"},\n {\"box_2d\": [480, 687, 864, 798], \"label\": \"safety vest\"},\n {\"box_2d\": [461, 747, 864, 904], \"label\": \"safety vest\"},\n {\"box_2d\": [867, 859, 1000, 976], \"label\": \"safety vest\"},\n {\"box_2d\": [320, 62, 1000, 290], \"label\": \"person\"},\n {\"box_2d\": [286, 134, 1000, 297], \"label\": \"person\"},\n {\"box_2d\": [325, 252, 865, 444], \"label\": \"person\"},\n {\"box_2d\": [323, 445, 792, 594], \"label\": \"person\"},\n {\"box_2d\": [306, 571, 830, 718], \"label\": \"person\"},\n {\"box_2d\": [360, 608, 864, 799], \"label\": \"person\"},\n {\"box_2d\": [278, 672, 996, 906], \"label\": \"person\"}\n]\n```", "correct": true, "input_tokens": 1222, "output_tokens": 2414, "elapsed_seconds": 37.111891916021705, "metadata": {"match_method": "map", "num_predictions": 20, "num_ground_truth": 19, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 38.0797}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 233, "image": "ind_jpeg_jpg.rf.838960e9a8a04626878832d54c63b122.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [369, 69, 459, 196], \"label\": \"dimension annotation\"},\n {\"box_2d\": [465, 65, 513, 138], \"label\": \"dimension annotation\"},\n {\"box_2d\": [357, 530, 401, 616], \"label\": \"dimension annotation\"},\n {\"box_2d\": [558, 313, 576, 411], \"label\": \"dimension annotation\"},\n {\"box_2d\": [588, 170, 606, 411], \"label\": \"dimension annotation\"},\n {\"box_2d\": [653, 338, 735, 421], \"label\": \"dimension annotation\"},\n {\"box_2d\": [660, 425, 716, 514], \"label\": \"dimension annotation\"},\n {\"box_2d\": [768, 55, 834, 82], \"label\": \"dimension annotation\"},\n {\"box_2d\": [763, 553, 804, 578], \"label\": \"dimension annotation\"},\n {\"box_2d\": [725, 583, 790, 610], \"label\": \"dimension annotation\"},\n {\"box_2d\": [789, 583, 834, 610], \"label\": \"dimension annotation\"},\n {\"box_2d\": [637, 686, 655, 720], \"label\": \"dimension annotation\"},\n {\"box_2d\": [637, 715, 655, 846], \"label\": \"dimension annotation\"},\n {\"box_2d\": [637, 842, 655, 876], \"label\": \"dimension annotation\"},\n {\"box_2d\": [688, 935, 834, 962], \"label\": \"dimension annotation\"},\n {\"box_2d\": [914, 208, 984, 976], \"label\": \"technical drawing table\"}\n]\n```", "correct": false, "input_tokens": 1233, "output_tokens": 2100, "elapsed_seconds": 18.958121125004254, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5028877258300781, "attempts": 1, "retries": 0, "total_seconds": 18.9675}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 234, "image": "frame_0102_jpg.rf.17d6c3b1d93b1bd2e8d8880687a7f794.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [36, 338, 74, 361], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [37, 392, 74, 416], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [43, 448, 81, 472], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [46, 504, 83, 529], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [122, 329, 160, 353], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [123, 385, 163, 409], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [129, 443, 171, 467], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [131, 501, 173, 525], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [214, 332, 255, 357], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [223, 390, 265, 416], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [230, 449, 274, 476], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [248, 508, 293, 535], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [313, 322, 356, 347], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [323, 380, 369, 408], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [330, 441, 377, 469], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [348, 504, 395, 532], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [415, 307, 462, 335], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [426, 366, 474, 395], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [435, 428, 483, 456], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [453, 490, 502, 519], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [525, 312, 574, 340], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [540, 373, 591, 402], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [556, 435, 606, 465], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [571, 501, 620, 530], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [633, 300, 684, 328], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [650, 361, 701, 390], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [668, 424, 719, 455], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [684, 490, 736, 519], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [742, 295, 794, 324], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [764, 357, 815, 386], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [781, 420, 833, 449], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [796, 486, 848, 515], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [858, 303, 910, 333], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [880, 366, 932, 395], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [896, 429, 946, 459], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [915, 493, 965, 522], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [956, 291, 1000, 320], \"label\": \"soda bottle cap\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 2485, "elapsed_seconds": 26.479348083026707, "metadata": {"match_method": "map", "num_predictions": 37, "num_ground_truth": 38, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9702970385551453, "attempts": 1, "retries": 0, "total_seconds": 26.8491}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 235, "image": "tile_559_jpg.rf.2e36153b3f0a023e43755fc06e0c32dc.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [6, 324, 28, 378], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [214, 450, 239, 535], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [321, 250, 360, 348], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [668, 666, 688, 750], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [741, 350, 758, 429], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [885, 0, 906, 76], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [959, 551, 980, 603], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [930, 777, 954, 860], \"label\": \"ship in SAR satellite image\"}\n]\n```", "correct": true, "input_tokens": 1229, "output_tokens": 998, "elapsed_seconds": 9.578108832938597, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 9.6157}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 236, "image": "frame_0555_jpg.rf.e5603989fbc45aefce0b30f65bdbe361.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [82, 240, 144, 281], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [251, 255, 315, 292], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [462, 234, 536, 279], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [611, 232, 691, 281], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [786, 242, 864, 289], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [64, 348, 125, 391], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [164, 336, 234, 373], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [219, 353, 278, 389], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [298, 369, 363, 408], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [406, 356, 466, 394], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [492, 348, 560, 387], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [740, 346, 825, 393], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [28, 431, 81, 463], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [234, 442, 305, 478], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [375, 434, 439, 477], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [797, 450, 882, 491], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [770, 485, 850, 526], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [48, 538, 105, 570], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [139, 541, 198, 573], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [465, 549, 526, 585], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [585, 580, 653, 622], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [729, 603, 804, 646], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [422, 654, 486, 695], \"label\": \"garlic on conveyor\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 2940, "elapsed_seconds": 25.487919125007465, "metadata": {"match_method": "map", "num_predictions": 23, "num_ground_truth": 23, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 25.5777}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 237, "image": "DJI_0236_JPG_jpg.rf.d7ac178bd4662b9ae881e21c92284693.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [725, 557, 899, 624], \"label\": \"excavator\"},\n {\"box_2d\": [458, 382, 493, 439], \"label\": \"dump truck\"},\n {\"box_2d\": [417, 232, 443, 274], \"label\": \"dump truck\"},\n {\"box_2d\": [161, 819, 369, 945], \"label\": \"tower crane\"},\n {\"box_2d\": [202, 932, 834, 1000], \"label\": \"tower crane\"}\n]\n```", "correct": false, "input_tokens": 1209, "output_tokens": 1443, "elapsed_seconds": 38.277264582924545, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 6, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.75, "attempts": 1, "retries": 0, "total_seconds": 39.0131}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 238, "image": "9999981_00000_d_0000108_jpg.rf.808757c317fef3db00edefab735a3c05.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [56, 148, 169, 202], \"label\": \"truck\"},\n {\"box_2d\": [119, 20, 202, 59], \"label\": \"van\"},\n {\"box_2d\": [72, 12, 122, 40], \"label\": \"car\"},\n {\"box_2d\": [288, 60, 360, 91], \"label\": \"van\"},\n {\"box_2d\": [368, 82, 427, 118], \"label\": \"car\"},\n {\"box_2d\": [290, 231, 362, 273], \"label\": \"car\"},\n {\"box_2d\": [0, 405, 56, 440], \"label\": \"car\"},\n {\"box_2d\": [83, 439, 149, 478], \"label\": \"car\"},\n {\"box_2d\": [196, 406, 265, 447], \"label\": \"car\"},\n {\"box_2d\": [209, 496, 274, 542], \"label\": \"car\"},\n {\"box_2d\": [258, 484, 323, 524], \"label\": \"car\"},\n {\"box_2d\": [395, 571, 505, 690], \"label\": \"bus\"},\n {\"box_2d\": [366, 656, 426, 715], \"label\": \"car\"},\n {\"box_2d\": [539, 738, 608, 807], \"label\": \"car\"},\n {\"box_2d\": [542, 326, 629, 377], \"label\": \"car\"},\n {\"box_2d\": [534, 130, 607, 170], \"label\": \"van\"},\n {\"box_2d\": [534, 130, 607, 170], \"label\": \"truck\"},\n {\"box_2d\": [907, 197, 982, 238], \"label\": \"tricycle\"},\n {\"box_2d\": [925, 452, 1000, 527], \"label\": \"car\"},\n {\"box_2d\": [784, 734, 873, 795], \"label\": \"car\"},\n {\"box_2d\": [811, 761, 899, 820], \"label\": \"car\"},\n {\"box_2d\": [867, 391, 902, 413], \"label\": \"motorcycle\"}\n]\n```", "correct": false, "input_tokens": 1214, "output_tokens": 4829, "elapsed_seconds": 55.08111079200171, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 46, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.4253889322280884, "attempts": 1, "retries": 0, "total_seconds": 55.1498}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 239, "image": "egg-detection_image381_jpg.rf.26b6182b9e6a29f3cd96c54029e234f8.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [12, 431, 66, 466], \"label\": \"egg\"},\n {\"box_2d\": [31, 471, 90, 502], \"label\": \"egg\"},\n {\"box_2d\": [64, 426, 125, 456], \"label\": \"egg\"},\n {\"box_2d\": [91, 385, 148, 421], \"label\": \"egg\"},\n {\"box_2d\": [164, 370, 221, 408], \"label\": \"egg\"},\n {\"box_2d\": [243, 418, 309, 456], \"label\": \"egg\"},\n {\"box_2d\": [243, 465, 302, 506], \"label\": \"egg\"},\n {\"box_2d\": [309, 426, 378, 459], \"label\": \"egg\"},\n {\"box_2d\": [289, 480, 353, 519], \"label\": \"egg\"},\n {\"box_2d\": [264, 558, 332, 591], \"label\": \"egg\"},\n {\"box_2d\": [532, 315, 597, 349], \"label\": \"egg\"},\n {\"box_2d\": [589, 302, 646, 339], \"label\": \"egg\"},\n {\"box_2d\": [678, 383, 738, 419], \"label\": \"egg\"},\n {\"box_2d\": [711, 417, 768, 457], \"label\": \"egg\"},\n {\"box_2d\": [708, 479, 770, 517], \"label\": \"egg\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 1520, "elapsed_seconds": 16.25777987507172, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 16.3493}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 240, "image": "A16150-1C_2025_NCPT-175_JPG_jpg.rf.2c6e330d745fc218d09f761944d1e142.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [15, 249, 98, 275], \"label\": \"potato\"},\n {\"box_2d\": [98, 247, 162, 274], \"label\": \"potato\"},\n {\"box_2d\": [12, 295, 58, 317], \"label\": \"potato\"},\n {\"box_2d\": [55, 294, 106, 318], \"label\": \"potato\"},\n {\"box_2d\": [104, 287, 162, 315], \"label\": \"potato\"},\n {\"box_2d\": [161, 285, 241, 316], \"label\": \"potato\"},\n {\"box_2d\": [240, 284, 316, 318], \"label\": \"potato\"},\n {\"box_2d\": [411, 279, 515, 317], \"label\": \"potato\"},\n {\"box_2d\": [577, 283, 646, 311], \"label\": \"potato\"},\n {\"box_2d\": [646, 274, 741, 315], \"label\": \"potato\"},\n {\"box_2d\": [748, 283, 818, 309], \"label\": \"potato\"},\n {\"box_2d\": [919, 282, 986, 312], \"label\": \"potato\"},\n {\"box_2d\": [6, 330, 91, 366], \"label\": \"potato\"},\n {\"box_2d\": [91, 329, 171, 363], \"label\": \"potato\"},\n {\"box_2d\": [170, 329, 242, 360], \"label\": \"potato\"},\n {\"box_2d\": [241, 324, 335, 362], \"label\": \"potato\"},\n {\"box_2d\": [334, 322, 421, 361], \"label\": \"potato\"},\n {\"box_2d\": [438, 328, 517, 360], \"label\": \"potato\"},\n {\"box_2d\": [516, 324, 593, 357], \"label\": \"potato\"},\n {\"box_2d\": [697, 326, 777, 356], \"label\": \"potato\"},\n {\"box_2d\": [776, 326, 853, 354], \"label\": \"potato\"},\n {\"box_2d\": [920, 323, 1000, 351], \"label\": \"potato\"},\n {\"box_2d\": [15, 377, 94, 411], \"label\": \"potato\"},\n {\"box_2d\": [107, 373, 189, 405], \"label\": \"potato\"},\n {\"box_2d\": [188, 374, 265, 405], \"label\": \"potato\"},\n {\"box_2d\": [264, 374, 349, 410], \"label\": \"potato\"},\n {\"box_2d\": [335, 364, 386, 389], \"label\": \"potato\"},\n {\"box_2d\": [383, 367, 487, 406], \"label\": \"potato\"},\n {\"box_2d\": [481, 370, 577, 408], \"label\": \"potato\"},\n {\"box_2d\": [687, 367, 763, 400], \"label\": \"potato\"},\n {\"box_2d\": [761, 366, 847, 400], \"label\": \"potato\"},\n {\"box_2d\": [918, 363, 998, 400], \"label\": \"potato\"},\n {\"box_2d\": [6, 414, 90, 453], \"label\": \"potato\"},\n {\"box_2d\": [86, 412, 195, 459], \"label\": \"potato\"},\n {\"box_2d\": [194, 416, 274, 452], \"label\": \"potato\"},\n {\"box_2d\": [349, 415, 436, 449], \"label\": \"potato\"},\n {\"box_2d\": [436, 415, 526, 450], \"label\": \"potato\"},\n {\"box_2d\": [524, 415, 604, 449], \"label\": \"potato\"},\n {\"box_2d\": [602, 411, 688, 446], \"label\": \"potato\"},\n {\"box_2d\": [685, 411, 780, 444], \"label\": \"potato\"},\n {\"box_2d\": [11, 466, 81, 495], \"label\": \"potato\"},\n {\"box_2d\": [79, 465, 141, 494], \"label\": \"potato\"},\n {\"box_2d\": [139, 455, 255, 497], \"label\": \"potato\"},\n {\"box_2d\": [262, 462, 335, 490], \"label\": \"potato\"},\n {\"box_2d\": [335, 459, 413, 490], \"label\": \"potato\"},\n {\"box_2d\": [411, 460, 504, 497], \"label\": \"potato\"},\n {\"box_2d\": [728, 453, 825, 496], \"label\": \"potato\"},\n {\"box_2d\": [915, 454, 993, 488], \"label\": \"potato\"},\n {\"box_2d\": [6, 507, 77, 539], \"label\": \"potato\"},\n {\"box_2d\": [74, 506, 141, 539], \"label\": \"potato\"},\n {\"box_2d\": [138, 505, 245, 545], \"label\": \"potato\"},\n {\"box_2d\": [242, 505, 340, 547], \"label\": \"potato\"},\n {\"box_2d\": [492, 495, 588, 536], \"label\": \"potato\"},\n {\"box_2d\": [681, 494, 800, 546], \"label\": \"potato\"},\n {\"box_2d\": [6, 550, 81, 583], \"label\": \"potato\"},\n {\"box_2d\": [150, 550, 232, 583], \"label\": \"potato\"},\n {\"box_2d\": [231, 550, 319, 582], \"label\": \"potato\"},\n {\"box_2d\": [491, 547, 570, 582], \"label\": \"potato\"},\n {\"box_2d\": [686, 548, 747, 573], \"label\": \"potato\"},\n {\"box_2d\": [787, 541, 880, 580], \"label\": \"potato\"},\n {\"box_2d\": [923, 540, 1000, 574], \"label\": \"potato\"},\n {\"box_2d\": [5, 595, 72, 630], \"label\": \"potato\"},\n {\"box_2d\": [69, 594, 173, 632], \"label\": \"potato\"},\n {\"box_2d\": [168, 595, 257, 630], \"label\": \"potato\"},\n {\"box_2d\": [309, 592, 420, 636], \"label\": \"potato\"},\n {\"box_2d\": [647, 585, 731, 620], \"label\": \"potato\"},\n {\"box_2d\": [2, 629, 90, 667], \"label\": \"potato\"},\n {\"box_2d\": [87, 639, 159, 670], \"label\": \"potato\"},\n {\"box_2d\": [157, 638, 234, 670], \"label\": \"potato\"},\n {\"box_2d\": [255, 640, 323, 668], \"label\": \"potato\"},\n {\"box_2d\": [370, 637, 440, 668], \"label\": \"potato\"},\n {\"box_2d\": [506, 637, 575, 664], \"label\": \"potato\"},\n {\"box_2d\": [815, 624, 938, 664], \"label\": \"potato\"},\n {\"box_2d\": [61, 681, 132, 712], \"label\": \"potato\"},\n {\"box_2d\": [15, 726, 99, 761], \"label\": \"potato\"},\n {\"box_2d\": [520, 720, 608, 763], \"label\": \"potato\"},\n {\"box_2d\": [288, 766, 358, 791], \"label\": \"potato\"},\n {\"box_2d\": [440, 764, 519, 797], \"label\": \"potato\"},\n {\"box_2d\": [21, 813, 84, 842], \"label\": \"potato\"},\n {\"box_2d\": [328, 809, 389, 836], \"label\": \"potato\"},\n {\"box_2d\": [315, 849, 395, 878], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 5280, "elapsed_seconds": 53.49697295902297, "metadata": {"match_method": "map", "num_predictions": 81, "num_ground_truth": 81, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 53.9564}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 241, "image": "lot251_JPEG_jpg.rf.5ae906b5fd537b40c5fabb806ecf5fd9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [181, 342, 200, 381], \"label\": \"chicory seed\"},\n {\"box_2d\": [187, 364, 211, 405], \"label\": \"chicory seed\"},\n {\"box_2d\": [197, 317, 224, 355], \"label\": \"chicory seed\"},\n {\"box_2d\": [202, 281, 224, 323], \"label\": \"chicory seed\"},\n {\"box_2d\": [215, 338, 250, 365], \"label\": \"chicory seed\"},\n {\"box_2d\": [220, 303, 257, 329], \"label\": \"chicory seed\"},\n {\"box_2d\": [219, 251, 251, 286], \"label\": \"chicory seed\"},\n {\"box_2d\": [230, 263, 260, 297], \"label\": \"chicory seed\"},\n {\"box_2d\": [209, 367, 230, 409], \"label\": \"chicory seed\"},\n {\"box_2d\": [227, 354, 263, 376], \"label\": \"chicory seed\"},\n {\"box_2d\": [197, 424, 231, 459], \"label\": \"chicory seed\"},\n {\"box_2d\": [224, 401, 252, 437], \"label\": \"chicory seed\"},\n {\"box_2d\": [238, 377, 258, 417], \"label\": \"chicory seed\"},\n {\"box_2d\": [179, 498, 215, 523], \"label\": \"chicory seed\"},\n {\"box_2d\": [191, 540, 228, 564], \"label\": \"chicory seed\"},\n {\"box_2d\": [195, 577, 231, 603], \"label\": \"chicory seed\"},\n {\"box_2d\": [218, 493, 253, 519], \"label\": \"chicory seed\"},\n {\"box_2d\": [216, 519, 255, 541], \"label\": \"chicory seed\"},\n {\"box_2d\": [239, 591, 259, 631], \"label\": \"chicory seed\"},\n {\"box_2d\": [244, 639, 282, 666], \"label\": \"chicory seed\"},\n {\"box_2d\": [249, 661, 268, 697], \"label\": \"chicory seed\"},\n {\"box_2d\": [250, 290, 284, 316], \"label\": \"chicory seed\"},\n {\"box_2d\": [262, 243, 286, 280], \"label\": \"chicory seed\"},\n {\"box_2d\": [264, 276, 297, 305], \"label\": \"chicory seed\"},\n {\"box_2d\": [283, 193, 314, 229], \"label\": \"chicory seed\"},\n {\"box_2d\": [294, 210, 319, 249], \"label\": \"chicory seed\"},\n {\"box_2d\": [273, 310, 296, 350], \"label\": \"chicory seed\"},\n {\"box_2d\": [259, 373, 280, 412], \"label\": \"chicory seed\"},\n {\"box_2d\": [244, 419, 276, 457], \"label\": \"chicory seed\"},\n {\"box_2d\": [253, 454, 289, 483], \"label\": \"chicory seed\"},\n {\"box_2d\": [279, 340, 312, 372], \"label\": \"chicory seed\"},\n {\"box_2d\": [279, 373, 298, 411], \"label\": \"chicory seed\"},\n {\"box_2d\": [275, 421, 300, 463], \"label\": \"chicory seed\"},\n {\"box_2d\": [274, 486, 306, 523], \"label\": \"chicory seed\"},\n {\"box_2d\": [251, 535, 282, 571], \"label\": \"chicory seed\"},\n {\"box_2d\": [280, 546, 300, 591], \"label\": \"chicory seed\"},\n {\"box_2d\": [272, 605, 302, 636], \"label\": \"chicory seed\"},\n {\"box_2d\": [270, 659, 291, 699], \"label\": \"chicory seed\"},\n {\"box_2d\": [290, 646, 311, 686], \"label\": \"chicory seed\"},\n {\"box_2d\": [293, 698, 323, 736], \"label\": \"chicory seed\"},\n {\"box_2d\": [301, 270, 336, 301], \"label\": \"chicory seed\"},\n {\"box_2d\": [299, 283, 320, 324], \"label\": \"chicory seed\"},\n {\"box_2d\": [313, 321, 332, 364], \"label\": \"chicory seed\"},\n {\"box_2d\": [297, 366, 323, 405], \"label\": \"chicory seed\"},\n {\"box_2d\": [287, 408, 326, 428], \"label\": \"chicory seed\"},\n {\"box_2d\": [296, 439, 318, 479], \"label\": \"chicory seed\"},\n {\"box_2d\": [292, 509, 328, 535], \"label\": \"chicory seed\"},\n {\"box_2d\": [301, 550, 327, 590], \"label\": \"chicory seed\"},\n {\"box_2d\": [302, 609, 334, 644], \"label\": \"chicory seed\"},\n {\"box_2d\": [313, 670, 334, 712], \"label\": \"chicory seed\"},\n {\"box_2d\": [326, 208, 347, 247], \"label\": \"chicory seed\"},\n {\"box_2d\": [325, 261, 365, 283], \"label\": \"chicory seed\"},\n {\"box_2d\": [337, 243, 373, 264], \"label\": \"chicory seed\"},\n {\"box_2d\": [351, 174, 381, 211], \"label\": \"chicory seed\"},\n {\"box_2d\": [351, 201, 384, 232], \"label\": \"chicory seed\"},\n {\"box_2d\": [331, 286, 361, 324], \"label\": \"chicory seed\"},\n {\"box_2d\": [322, 362, 349, 399], \"label\": \"chicory seed\"},\n {\"box_2d\": [337, 338, 366, 373], \"label\": \"chicory seed\"},\n {\"box_2d\": [323, 399, 359, 419], \"label\": \"chicory seed\"},\n {\"box_2d\": [320, 421, 351, 458], \"label\": \"chicory seed\"},\n {\"box_2d\": [319, 454, 354, 475], \"label\": \"chicory seed\"},\n {\"box_2d\": [308, 477, 346, 498], \"label\": \"chicory seed\"},\n {\"box_2d\": [333, 525, 356, 566], \"label\": \"chicory seed\"},\n {\"box_2d\": [313, 569, 349, 604], \"label\": \"chicory seed\"},\n {\"box_2d\": [338, 569, 372, 605], \"label\": \"chicory seed\"},\n {\"box_2d\": [336, 620, 357, 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380, 545], \"label\": \"chicory seed\"},\n {\"box_2d\": [378, 510, 400, 550], \"label\": \"chicory seed\"},\n {\"box_2d\": [363, 548, 397, 580], \"label\": \"chicory seed\"},\n {\"box_2d\": [372, 576, 409, 607], \"label\": \"chicory seed\"},\n {\"box_2d\": [357, 596, 393, 629], \"label\": \"chicory seed\"},\n {\"box_2d\": [361, 631, 387, 670], \"label\": \"chicory seed\"},\n {\"box_2d\": [356, 676, 389, 712], \"label\": \"chicory seed\"},\n {\"box_2d\": [355, 730, 386, 767], \"label\": \"chicory seed\"},\n {\"box_2d\": [376, 452, 406, 487], \"label\": \"chicory seed\"},\n {\"box_2d\": [377, 326, 413, 362], \"label\": \"chicory seed\"},\n {\"box_2d\": [392, 312, 424, 346], \"label\": \"chicory seed\"},\n {\"box_2d\": [390, 363, 426, 392], \"label\": \"chicory seed\"},\n {\"box_2d\": [398, 392, 434, 419], \"label\": \"chicory seed\"},\n {\"box_2d\": [403, 407, 439, 438], \"label\": \"chicory seed\"},\n {\"box_2d\": [394, 438, 428, 469], \"label\": \"chicory seed\"},\n {\"box_2d\": [397, 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{\"box_2d\": [404, 631, 429, 672], \"label\": \"chicory seed\"},\n {\"box_2d\": [397, 674, 432, 706], \"label\": \"chicory seed\"},\n {\"box_2d\": [414, 667, 444, 698], \"label\": \"chicory seed\"},\n {\"box_2d\": [423, 708, 461, 736], \"label\": \"chicory seed\"},\n {\"box_2d\": [438, 692, 476, 725], \"label\": \"chicory seed\"},\n {\"box_2d\": [438, 735, 477, 759], \"label\": \"chicory seed\"},\n {\"box_2d\": [443, 757, 482, 780], \"label\": \"chicory seed\"},\n {\"box_2d\": [425, 782, 461, 805], \"label\": \"chicory seed\"},\n {\"box_2d\": [456, 150, 495, 168], \"label\": \"chicory seed\"},\n {\"box_2d\": [451, 184, 470, 227], \"label\": \"chicory seed\"},\n {\"box_2d\": [474, 198, 493, 238], \"label\": \"chicory seed\"},\n {\"box_2d\": [454, 241, 494, 267], \"label\": \"chicory seed\"},\n {\"box_2d\": [455, 260, 491, 293], \"label\": \"chicory seed\"},\n {\"box_2d\": [450, 289, 489, 319], \"label\": \"chicory seed\"},\n {\"box_2d\": [449, 313, 485, 343], \"label\": \"chicory 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\"label\": \"chicory seed\"},\n {\"box_2d\": [535, 252, 557, 294], \"label\": \"chicory seed\"},\n {\"box_2d\": [536, 222, 571, 250], \"label\": \"chicory seed\"},\n {\"box_2d\": [524, 295, 558, 329], \"label\": \"chicory seed\"},\n {\"box_2d\": [516, 326, 551, 360], \"label\": \"chicory seed\"},\n {\"box_2d\": [526, 360, 561, 389], \"label\": \"chicory seed\"},\n {\"box_2d\": [514, 389, 550, 419], \"label\": \"chicory seed\"},\n {\"box_2d\": [527, 396, 563, 425], \"label\": \"chicory seed\"},\n {\"box_2d\": [531, 413, 568, 444], \"label\": \"chicory seed\"},\n {\"box_2d\": [539, 431, 578, 459], \"label\": \"chicory seed\"},\n {\"box_2d\": [547, 454, 583, 479], \"label\": \"chicory seed\"},\n {\"box_2d\": [535, 471, 572, 503], \"label\": \"chicory seed\"},\n {\"box_2d\": [519, 495, 558, 525], \"label\": \"chicory seed\"},\n {\"box_2d\": [515, 516, 552, 546], \"label\": \"chicory seed\"},\n {\"box_2d\": [501, 536, 540, 560], \"label\": \"chicory seed\"},\n {\"box_2d\": [499, 553, 536, 579], \"label\": \"chicory seed\"},\n {\"box_2d\": [517, 567, 549, 606], \"label\": \"chicory seed\"},\n {\"box_2d\": [525, 588, 558, 626], \"label\": \"chicory seed\"},\n {\"box_2d\": [499, 631, 533, 669], \"label\": \"chicory seed\"},\n {\"box_2d\": [498, 663, 531, 697], \"label\": \"chicory seed\"},\n {\"box_2d\": [501, 682, 537, 716], \"label\": \"chicory seed\"},\n {\"box_2d\": [519, 698, 561, 726], \"label\": \"chicory seed\"},\n {\"box_2d\": [506, 724, 546, 749], \"label\": \"chicory seed\"},\n {\"box_2d\": [520, 760, 545, 800], \"label\": \"chicory seed\"},\n {\"box_2d\": [534, 736, 571, 765], \"label\": \"chicory seed\"},\n {\"box_2d\": [560, 148, 588, 184], \"label\": \"chicory seed\"},\n {\"box_2d\": [566, 166, 600, 200], \"label\": \"chicory seed\"},\n {\"box_2d\": [561, 195, 597, 228], \"label\": \"chicory seed\"},\n {\"box_2d\": [574, 209, 612, 241], \"label\": \"chicory seed\"},\n {\"box_2d\": [557, 255, 580, 297], \"label\": \"chicory seed\"},\n {\"box_2d\": [580, 241, 601, 281], \"label\": \"chicory seed\"},\n {\"box_2d\": [557, 296, 585, 336], \"label\": \"chicory seed\"},\n {\"box_2d\": [548, 323, 572, 367], \"label\": \"chicory seed\"},\n {\"box_2d\": [573, 279, 599, 320], \"label\": \"chicory seed\"},\n {\"box_2d\": [571, 341, 592, 382], \"label\": \"chicory seed\"},\n {\"box_2d\": [583, 325, 604, 369], \"label\": \"chicory seed\"},\n {\"box_2d\": [564, 399, 592, 438], \"label\": \"chicory seed\"},\n {\"box_2d\": [589, 366, 610, 410], \"label\": \"chicory seed\"},\n {\"box_2d\": [584, 451, 604, 491], \"label\": \"chicory seed\"},\n {\"box_2d\": [557, 492, 589, 532], \"label\": \"chicory seed\"},\n {\"box_2d\": [581, 495, 608, 537], \"label\": \"chicory seed\"},\n {\"box_2d\": [552, 543, 578, 587], \"label\": \"chicory seed\"},\n {\"box_2d\": [577, 556, 597, 603], \"label\": \"chicory seed\"},\n {\"box_2d\": [559, 595, 581, 638], \"label\": \"chicory seed\"},\n {\"box_2d\": [548, 626, 583, 663], \"label\": \"chicory seed\"},\n {\"box_2d\": [532, 630, 565, 666], \"label\": \"chicory seed\"},\n {\"box_2d\": [531, 658, 563, 695], \"label\": \"chicory seed\"},\n {\"box_2d\": [551, 714, 586, 747], \"label\": \"chicory seed\"},\n {\"box_2d\": [567, 706, 606, 738], \"label\": \"chicory seed\"},\n {\"box_2d\": [568, 687, 607, 710], \"label\": \"chicory seed\"},\n {\"box_2d\": [574, 668, 614, 695], \"label\": \"chicory seed\"},\n {\"box_2d\": [577, 609, 602, 657], \"label\": \"chicory seed\"},\n {\"box_2d\": [588, 655, 626, 685], \"label\": \"chicory seed\"},\n {\"box_2d\": [619, 196, 657, 226], \"label\": \"chicory seed\"},\n {\"box_2d\": [602, 230, 627, 271], \"label\": \"chicory seed\"},\n {\"box_2d\": [617, 241, 646, 280], \"label\": \"chicory seed\"},\n {\"box_2d\": [591, 269, 614, 311], \"label\": \"chicory seed\"},\n {\"box_2d\": [610, 278, 635, 318], \"label\": \"chicory seed\"},\n {\"box_2d\": [629, 269, 653, 311], \"label\": \"chicory seed\"},\n {\"box_2d\": [617, 311, 657, 344], \"label\": \"chicory seed\"},\n {\"box_2d\": [602, 335, 625, 376], \"label\": \"chicory seed\"},\n {\"box_2d\": [622, 347, 654, 384], \"label\": \"chicory seed\"},\n {\"box_2d\": [618, 375, 657, 405], \"label\": \"chicory seed\"},\n {\"box_2d\": [590, 408, 620, 447], \"label\": \"chicory seed\"},\n {\"box_2d\": [608, 411, 642, 448], \"label\": \"chicory seed\"},\n {\"box_2d\": [604, 450, 627, 490], \"label\": \"chicory seed\"},\n {\"box_2d\": [624, 425, 658, 461], \"label\": \"chicory seed\"},\n {\"box_2d\": [646, 427, 680, 463], \"label\": \"chicory seed\"},\n {\"box_2d\": [630, 466, 669, 493], \"label\": \"chicory seed\"},\n {\"box_2d\": [613, 486, 651, 509], \"label\": \"chicory seed\"},\n {\"box_2d\": [606, 513, 627, 553], \"label\": \"chicory seed\"},\n {\"box_2d\": [622, 503, 663, 525], \"label\": \"chicory seed\"},\n {\"box_2d\": [629, 531, 667, 553], \"label\": \"chicory seed\"},\n {\"box_2d\": [598, 553, 635, 582], \"label\": \"chicory seed\"},\n {\"box_2d\": [626, 559, 663, 586], \"label\": \"chicory seed\"},\n {\"box_2d\": [600, 597, 623, 640], \"label\": \"chicory seed\"},\n {\"box_2d\": [616, 602, 646, 642], \"label\": \"chicory seed\"},\n {\"box_2d\": [606, 639, 642, 669], \"label\": \"chicory seed\"},\n {\"box_2d\": [605, 698, 645, 721], \"label\": \"chicory seed\"},\n {\"box_2d\": [618, 672, 658, 699], \"label\": \"chicory seed\"},\n {\"box_2d\": [618, 722, 654, 757], \"label\": \"chicory seed\"},\n {\"box_2d\": [642, 712, 672, 751], \"label\": \"chicory seed\"},\n {\"box_2d\": [642, 641, 676, 677], \"label\": \"chicory seed\"},\n {\"box_2d\": [654, 672, 691, 703], \"label\": \"chicory seed\"},\n {\"box_2d\": [639, 586, 671, 623], \"label\": \"chicory seed\"},\n {\"box_2d\": [660, 204, 697, 233], \"label\": \"chicory seed\"},\n {\"box_2d\": [647, 232, 687, 255], \"label\": \"chicory seed\"},\n {\"box_2d\": [640, 255, 679, 280], \"label\": \"chicory seed\"},\n {\"box_2d\": [654, 281, 695, 303], \"label\": \"chicory seed\"},\n {\"box_2d\": [657, 301, 687, 340], \"label\": \"chicory seed\"},\n {\"box_2d\": [645, 329, 669, 371], \"label\": \"chicory seed\"},\n {\"box_2d\": [679, 303, 703, 345], \"label\": \"chicory seed\"},\n {\"box_2d\": [671, 342, 708, 372], \"label\": \"chicory seed\"},\n {\"box_2d\": [652, 371, 680, 410], \"label\": \"chicory seed\"},\n {\"box_2d\": [656, 403, 695, 429], \"label\": \"chicory seed\"},\n {\"box_2d\": [661, 444, 684, 487], \"label\": \"chicory seed\"},\n {\"box_2d\": [682, 419, 703, 460], \"label\": \"chicory seed\"},\n {\"box_2d\": [673, 482, 702, 523], \"label\": \"chicory seed\"},\n {\"box_2d\": [665, 520, 701, 558], \"label\": \"chicory seed\"},\n {\"box_2d\": [679, 601, 706, 644], \"label\": \"chicory seed\"},\n {\"box_2d\": [681, 245, 704, 285], \"label\": \"chicory seed\"},\n {\"box_2d\": [701, 244, 729, 283], \"label\": \"chicory seed\"},\n {\"box_2d\": [696, 282, 724, 320], \"label\": \"chicory seed\"},\n {\"box_2d\": [716, 284, 747, 325], \"label\": \"chicory seed\"},\n {\"box_2d\": [743, 285, 769, 329], \"label\": \"chicory seed\"},\n {\"box_2d\": [702, 322, 736, 359], \"label\": \"chicory seed\"},\n {\"box_2d\": [722, 319, 752, 357], \"label\": \"chicory seed\"},\n {\"box_2d\": [697, 357, 721, 401], \"label\": \"chicory seed\"},\n {\"box_2d\": [714, 356, 738, 398], \"label\": \"chicory seed\"},\n {\"box_2d\": [738, 365, 761, 408], \"label\": \"chicory seed\"},\n {\"box_2d\": [755, 346, 776, 389], \"label\": \"chicory seed\"},\n {\"box_2d\": [704, 401, 743, 426], \"label\": \"chicory seed\"},\n {\"box_2d\": [711, 420, 750, 446], \"label\": \"chicory seed\"},\n {\"box_2d\": [692, 451, 730, 479], \"label\": \"chicory seed\"},\n {\"box_2d\": [692, 486, 719, 528], \"label\": \"chicory seed\"},\n {\"box_2d\": [718, 461, 747, 503], \"label\": \"chicory seed\"},\n {\"box_2d\": [734, 464, 769, 501], \"label\": \"chicory seed\"},\n {\"box_2d\": [712, 498, 745, 535], \"label\": \"chicory seed\"},\n {\"box_2d\": [742, 502, 771, 542], \"label\": \"chicory seed\"},\n {\"box_2d\": [755, 485, 785, 527], \"label\": \"chicory seed\"},\n {\"box_2d\": [742, 420, 777, 457], \"label\": \"chicory seed\"},\n {\"box_2d\": [759, 401, 798, 425], \"label\": \"chicory seed\"},\n {\"box_2d\": [773, 475, 807, 511], \"label\": \"chicory seed\"},\n {\"box_2d\": [761, 525, 798, 558], \"label\": \"chicory seed\"},\n {\"box_2d\": [696, 551, 733, 577], \"label\": \"chicory seed\"},\n {\"box_2d\": [729, 541, 755, 583], \"label\": \"chicory seed\"},\n {\"box_2d\": [716, 579, 742, 621], \"label\": \"chicory seed\"},\n {\"box_2d\": [737, 576, 769, 615], \"label\": \"chicory seed\"},\n {\"box_2d\": [749, 591, 783, 629], \"label\": \"chicory seed\"},\n {\"box_2d\": [695, 645, 734, 667], \"label\": \"chicory seed\"},\n {\"box_2d\": [729, 622, 754, 666], \"label\": \"chicory seed\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 17775, "elapsed_seconds": 122.98988770903088, "metadata": {"match_method": "map", "num_predictions": 300, "num_ground_truth": 300, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3366336524486542, "attempts": 4, "retries": 3, "total_seconds": 860.8332, "transient_errors": ["RemoteProtocolError", "RemoteProtocolError", "ReadTimeout"]}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 242, "image": "4105625_ContRightUpper_f_jpg.rf.262f5072bce0f2365a2193d631224fd1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [332, 0, 614, 270], \"label\": \"shipping container wall dent\"}\n]\n```", "correct": false, "input_tokens": 1255, "output_tokens": 493, "elapsed_seconds": 7.95428558299318, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 8.0448}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 243, "image": "18_jpeg_jpg.rf.b131f08c745acace9daeeea095e0d1ef.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [83, 19, 192, 110], \"label\": \"potato\"},\n {\"box_2d\": [503, 0, 686, 61], \"label\": \"potato\"},\n {\"box_2d\": [299, 178, 391, 261], \"label\": \"potato\"},\n {\"box_2d\": [493, 236, 622, 323], \"label\": \"potato\"},\n {\"box_2d\": [700, 141, 815, 250], \"label\": \"potato\"},\n {\"box_2d\": [903, 147, 1000, 255], \"label\": \"potato\"},\n {\"box_2d\": [89, 444, 181, 542], \"label\": \"potato\"},\n {\"box_2d\": [496, 448, 595, 535], \"label\": \"potato\"},\n {\"box_2d\": [714, 355, 821, 478], \"label\": \"potato\"},\n {\"box_2d\": [499, 612, 605, 699], \"label\": \"potato\"},\n {\"box_2d\": [719, 541, 818, 629], \"label\": \"potato\"},\n {\"box_2d\": [713, 663, 820, 749], \"label\": \"potato\"},\n {\"box_2d\": [905, 594, 1000, 692], \"label\": \"potato\"},\n {\"box_2d\": [88, 886, 213, 987], \"label\": \"potato\"},\n {\"box_2d\": [282, 843, 405, 968], \"label\": \"potato\"},\n {\"box_2d\": [498, 875, 599, 957], \"label\": \"potato\"},\n {\"box_2d\": [686, 935, 795, 1000], \"label\": \"potato\"},\n {\"box_2d\": [870, 916, 987, 1000], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1240, "output_tokens": 1840, "elapsed_seconds": 14.534718375070952, "metadata": {"match_method": "map", "num_predictions": 18, "num_ground_truth": 18, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 14.5703}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 244, "image": "lot312_JPEG_jpg.rf.6c72b39304c1a45a005f911f32e89494.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [142, 421, 170, 459], \"label\": \"chicory seed\"},\n {\"box_2d\": [136, 482, 159, 522], \"label\": \"chicory seed\"},\n {\"box_2d\": [155, 469, 179, 510], \"label\": \"chicory seed\"},\n {\"box_2d\": [141, 538, 165, 583], \"label\": \"chicory seed\"},\n {\"box_2d\": [161, 540, 185, 583], \"label\": \"chicory seed\"},\n {\"box_2d\": [150, 582, 178, 623], \"label\": \"chicory seed\"},\n {\"box_2d\": [168, 320, 194, 362], \"label\": \"chicory seed\"},\n {\"box_2d\": [182, 358, 211, 399], \"label\": \"chicory seed\"},\n {\"box_2d\": [192, 389, 220, 430], \"label\": \"chicory seed\"},\n {\"box_2d\": [175, 463, 197, 504], \"label\": \"chicory seed\"},\n {\"box_2d\": [194, 450, 223, 490], \"label\": \"chicory seed\"},\n {\"box_2d\": [195, 488, 234, 518], \"label\": \"chicory seed\"},\n {\"box_2d\": [185, 530, 207, 577], \"label\": \"chicory seed\"},\n {\"box_2d\": [174, 576, 212, 613], \"label\": \"chicory seed\"},\n {\"box_2d\": [171, 610, 202, 651], \"label\": \"chicory seed\"},\n {\"box_2d\": [170, 657, 197, 700], \"label\": \"chicory seed\"},\n {\"box_2d\": [196, 667, 219, 707], \"label\": \"chicory seed\"},\n {\"box_2d\": [216, 264, 241, 307], \"label\": \"chicory seed\"},\n {\"box_2d\": [225, 309, 250, 351], \"label\": \"chicory seed\"},\n {\"box_2d\": [213, 344, 238, 387], \"label\": \"chicory seed\"},\n {\"box_2d\": [219, 375, 251, 415], \"label\": \"chicory seed\"},\n {\"box_2d\": [223, 398, 264, 430], \"label\": \"chicory seed\"},\n {\"box_2d\": [210, 426, 249, 464], \"label\": \"chicory seed\"},\n {\"box_2d\": [215, 469, 260, 498], \"label\": \"chicory seed\"},\n {\"box_2d\": [229, 516, 252, 560], \"label\": \"chicory seed\"},\n {\"box_2d\": [215, 562, 240, 606], \"label\": \"chicory seed\"},\n {\"box_2d\": [217, 606, 243, 649], \"label\": \"chicory seed\"},\n {\"box_2d\": [216, 654, 248, 695], \"label\": \"chicory seed\"},\n {\"box_2d\": [212, 728, 244, 769], \"label\": \"chicory seed\"},\n {\"box_2d\": [240, 205, 273, 243], \"label\": \"chicory seed\"},\n {\"box_2d\": [253, 239, 278, 281], \"label\": \"chicory seed\"},\n {\"box_2d\": [278, 175, 314, 210], \"label\": \"chicory seed\"},\n {\"box_2d\": [276, 234, 302, 278], \"label\": \"chicory seed\"},\n {\"box_2d\": [285, 258, 313, 299], \"label\": \"chicory seed\"},\n {\"box_2d\": [302, 212, 327, 256], \"label\": \"chicory seed\"},\n {\"box_2d\": [318, 237, 348, 280], \"label\": \"chicory seed\"},\n {\"box_2d\": [297, 283, 328, 329], \"label\": \"chicory seed\"},\n {\"box_2d\": [331, 271, 359, 317], \"label\": \"chicory seed\"},\n {\"box_2d\": [278, 331, 309, 372], \"label\": \"chicory seed\"},\n {\"box_2d\": [239, 347, 271, 387], \"label\": \"chicory seed\"},\n {\"box_2d\": [264, 376, 293, 416], \"label\": \"chicory seed\"},\n {\"box_2d\": [243, 427, 275, 469], \"label\": \"chicory seed\"},\n {\"box_2d\": [268, 414, 296, 456], \"label\": \"chicory seed\"},\n {\"box_2d\": [259, 465, 287, 505], \"label\": \"chicory seed\"},\n {\"box_2d\": [245, 500, 279, 538], \"label\": \"chicory seed\"},\n {\"box_2d\": [246, 532, 270, 574], \"label\": \"chicory seed\"},\n {\"box_2d\": [255, 570, 295, 608], \"label\": \"chicory seed\"},\n {\"box_2d\": [241, 592, 282, 623], \"label\": \"chicory seed\"},\n {\"box_2d\": [243, 669, 288, 699], \"label\": \"chicory seed\"},\n {\"box_2d\": [276, 629, 311, 667], \"label\": \"chicory seed\"},\n {\"box_2d\": [261, 698, 288, 740], \"label\": \"chicory seed\"},\n {\"box_2d\": [249, 749, 274, 791], \"label\": \"chicory seed\"},\n {\"box_2d\": [284, 695, 317, 735], \"label\": \"chicory seed\"},\n {\"box_2d\": [290, 661, 331, 696], \"label\": \"chicory seed\"},\n {\"box_2d\": [317, 636, 343, 680], \"label\": \"chicory seed\"},\n {\"box_2d\": [307, 591, 347, 616], \"label\": \"chicory seed\"},\n {\"box_2d\": [301, 545, 335, 584], \"label\": \"chicory seed\"},\n {\"box_2d\": [269, 531, 311, 561], \"label\": \"chicory seed\"},\n {\"box_2d\": [270, 493, 307, 528], \"label\": \"chicory seed\"},\n {\"box_2d\": [285, 449, 311, 492], \"label\": \"chicory seed\"},\n {\"box_2d\": [303, 498, 334, 540], \"label\": \"chicory seed\"},\n {\"box_2d\": [310, 473, 334, 516], \"label\": \"chicory seed\"},\n {\"box_2d\": [294, 414, 321, 456], \"label\": \"chicory seed\"},\n {\"box_2d\": [291, 383, 333, 410], \"label\": \"chicory seed\"},\n {\"box_2d\": [309, 403, 353, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [323, 432, 353, 475], \"label\": \"chicory seed\"},\n {\"box_2d\": [314, 328, 355, 355], \"label\": \"chicory seed\"},\n {\"box_2d\": [318, 359, 357, 396], \"label\": \"chicory seed\"},\n {\"box_2d\": [347, 351, 385, 385], \"label\": \"chicory seed\"},\n {\"box_2d\": [352, 383, 386, 424], \"label\": \"chicory seed\"},\n {\"box_2d\": [342, 419, 371, 461], \"label\": \"chicory seed\"},\n {\"box_2d\": [333, 480, 357, 524], \"label\": \"chicory seed\"},\n {\"box_2d\": [334, 532, 360, 574], \"label\": \"chicory seed\"},\n {\"box_2d\": [305, 716, 334, 758], \"label\": \"chicory seed\"},\n {\"box_2d\": [323, 687, 360, 722], \"label\": \"chicory seed\"},\n {\"box_2d\": [284, 756, 315, 791], \"label\": \"chicory seed\"},\n {\"box_2d\": [278, 787, 316, 818], \"label\": \"chicory seed\"},\n {\"box_2d\": [300, 801, 336, 835], \"label\": \"chicory seed\"},\n {\"box_2d\": [313, 759, 337, 801], \"label\": \"chicory seed\"},\n {\"box_2d\": [330, 732, 367, 768], \"label\": \"chicory seed\"},\n {\"box_2d\": [336, 769, 374, 799], \"label\": \"chicory seed\"},\n {\"box_2d\": [325, 817, 358, 855], \"label\": \"chicory seed\"},\n {\"box_2d\": [360, 130, 397, 165], \"label\": \"chicory seed\"},\n {\"box_2d\": [375, 160, 404, 202], \"label\": \"chicory seed\"},\n {\"box_2d\": [356, 174, 382, 217], \"label\": \"chicory seed\"},\n {\"box_2d\": [354, 226, 380, 269], \"label\": \"chicory seed\"},\n {\"box_2d\": [376, 206, 402, 249], \"label\": \"chicory seed\"},\n {\"box_2d\": [392, 244, 431, 272], \"label\": \"chicory seed\"},\n {\"box_2d\": [356, 281, 383, 326], \"label\": \"chicory seed\"},\n {\"box_2d\": [379, 271, 419, 300], \"label\": \"chicory seed\"},\n {\"box_2d\": [375, 296, 412, 332], \"label\": \"chicory seed\"},\n {\"box_2d\": [392, 312, 429, 349], \"label\": \"chicory seed\"},\n {\"box_2d\": [411, 335, 439, 380], \"label\": \"chicory seed\"},\n {\"box_2d\": [429, 281, 456, 323], \"label\": \"chicory seed\"},\n {\"box_2d\": [369, 433, 399, 476], \"label\": \"chicory seed\"},\n {\"box_2d\": [355, 466, 383, 509], \"label\": \"chicory seed\"},\n {\"box_2d\": [379, 474, 414, 514], \"label\": \"chicory seed\"},\n {\"box_2d\": [367, 521, 407, 557], \"label\": \"chicory seed\"},\n {\"box_2d\": [365, 552, 404, 583], \"label\": \"chicory seed\"},\n {\"box_2d\": [364, 587, 399, 632], \"label\": \"chicory seed\"},\n {\"box_2d\": [404, 604, 448, 632], \"label\": \"chicory seed\"},\n {\"box_2d\": [380, 644, 408, 686], \"label\": \"chicory seed\"},\n {\"box_2d\": [392, 683, 419, 726], \"label\": \"chicory seed\"},\n {\"box_2d\": [368, 720, 407, 753], \"label\": \"chicory seed\"},\n {\"box_2d\": [369, 757, 402, 797], \"label\": \"chicory seed\"},\n {\"box_2d\": [385, 749, 423, 783], \"label\": \"chicory seed\"},\n {\"box_2d\": [357, 785, 389, 822], \"label\": \"chicory seed\"},\n {\"box_2d\": [358, 822, 400, 851], \"label\": \"chicory seed\"},\n {\"box_2d\": [374, 840, 410, 876], \"label\": \"chicory seed\"},\n {\"box_2d\": [406, 833, 432, 875], \"label\": \"chicory seed\"},\n {\"box_2d\": [408, 769, 444, 805], \"label\": \"chicory seed\"},\n {\"box_2d\": [423, 794, 451, 836], \"label\": \"chicory seed\"},\n {\"box_2d\": [424, 850, 451, 892], \"label\": \"chicory seed\"},\n {\"box_2d\": [448, 854, 477, 897], \"label\": \"chicory seed\"},\n {\"box_2d\": [420, 743, 463, 768], \"label\": \"chicory seed\"},\n {\"box_2d\": [410, 675, 432, 718], \"label\": \"chicory seed\"},\n {\"box_2d\": [429, 678, 458, 716], \"label\": \"chicory seed\"},\n {\"box_2d\": [424, 653, 464, 685], \"label\": \"chicory seed\"},\n {\"box_2d\": [442, 635, 484, 663], \"label\": \"chicory seed\"},\n {\"box_2d\": [436, 705, 480, 743], \"label\": \"chicory seed\"},\n {\"box_2d\": [414, 114, 452, 142], \"label\": \"chicory seed\"},\n {\"box_2d\": [469, 109, 494, 152], \"label\": \"chicory seed\"},\n {\"box_2d\": [493, 108, 517, 151], \"label\": \"chicory seed\"},\n {\"box_2d\": [527, 106, 563, 141], \"label\": \"chicory seed\"},\n {\"box_2d\": [527, 142, 552, 185], \"label\": \"chicory seed\"},\n {\"box_2d\": [458, 184, 490, 226], \"label\": \"chicory seed\"},\n {\"box_2d\": [484, 190, 518, 230], \"label\": \"chicory seed\"},\n {\"box_2d\": [508, 209, 543, 248], \"label\": \"chicory seed\"},\n {\"box_2d\": [454, 251, 484, 291], \"label\": \"chicory seed\"},\n {\"box_2d\": [451, 291, 493, 326], \"label\": \"chicory seed\"},\n {\"box_2d\": [474, 277, 511, 316], \"label\": \"chicory seed\"},\n {\"box_2d\": [498, 264, 539, 298], \"label\": \"chicory seed\"},\n {\"box_2d\": [530, 246, 559, 289], \"label\": \"chicory seed\"},\n {\"box_2d\": [518, 293, 547, 338], \"label\": \"chicory seed\"},\n {\"box_2d\": [545, 281, 575, 323], \"label\": \"chicory seed\"},\n {\"box_2d\": [438, 316, 479, 350], \"label\": \"chicory seed\"},\n {\"box_2d\": [446, 336, 483, 373], \"label\": \"chicory seed\"},\n {\"box_2d\": [481, 323, 513, 365], \"label\": \"chicory seed\"},\n {\"box_2d\": [467, 359, 507, 386], \"label\": \"chicory seed\"},\n {\"box_2d\": [510, 362, 547, 405], \"label\": \"chicory seed\"},\n {\"box_2d\": [442, 388, 470, 430], \"label\": \"chicory seed\"},\n {\"box_2d\": [469, 391, 499, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [490, 399, 522, 442], \"label\": \"chicory seed\"},\n {\"box_2d\": [451, 440, 493, 469], \"label\": \"chicory seed\"},\n {\"box_2d\": [467, 484, 505, 516], \"label\": \"chicory seed\"},\n {\"box_2d\": [442, 501, 474, 542], \"label\": \"chicory seed\"},\n {\"box_2d\": [473, 548, 512, 575], \"label\": \"chicory seed\"},\n {\"box_2d\": [512, 456, 542, 501], \"label\": \"chicory seed\"},\n {\"box_2d\": [538, 457, 567, 500], \"label\": \"chicory seed\"},\n {\"box_2d\": [520, 507, 556, 549], \"label\": \"chicory seed\"},\n {\"box_2d\": [472, 587, 502, 631], \"label\": \"chicory seed\"},\n {\"box_2d\": [498, 613, 541, 639], \"label\": \"chicory seed\"},\n {\"box_2d\": [519, 590, 561, 620], \"label\": \"chicory seed\"},\n {\"box_2d\": [529, 568, 569, 597], \"label\": \"chicory seed\"},\n {\"box_2d\": [467, 664, 496, 706], \"label\": \"chicory seed\"},\n {\"box_2d\": [473, 699, 502, 742], \"label\": \"chicory seed\"},\n {\"box_2d\": [493, 657, 529, 700], \"label\": \"chicory seed\"},\n {\"box_2d\": [493, 684, 522, 725], \"label\": \"chicory seed\"},\n {\"box_2d\": [511, 638, 542, 685], \"label\": \"chicory seed\"},\n {\"box_2d\": [539, 633, 568, 677], \"label\": \"chicory seed\"},\n {\"box_2d\": [550, 606, 591, 638], \"label\": \"chicory seed\"},\n {\"box_2d\": [556, 641, 597, 672], \"label\": \"chicory seed\"},\n {\"box_2d\": [543, 678, 590, 706], \"label\": \"chicory seed\"},\n {\"box_2d\": [526, 701, 568, 729], \"label\": \"chicory seed\"},\n {\"box_2d\": [512, 727, 553, 754], \"label\": \"chicory seed\"},\n {\"box_2d\": [509, 753, 538, 796], \"label\": \"chicory seed\"},\n {\"box_2d\": [534, 756, 565, 799], \"label\": \"chicory seed\"},\n {\"box_2d\": [477, 779, 517, 813], \"label\": \"chicory seed\"},\n {\"box_2d\": [452, 798, 494, 825], \"label\": \"chicory seed\"},\n {\"box_2d\": [464, 827, 504, 858], \"label\": \"chicory seed\"},\n {\"box_2d\": [507, 805, 538, 849], \"label\": \"chicory seed\"},\n {\"box_2d\": [550, 136, 586, 173], \"label\": \"chicory seed\"},\n {\"box_2d\": [566, 112, 605, 139], \"label\": \"chicory seed\"},\n {\"box_2d\": [559, 164, 600, 193], \"label\": \"chicory seed\"},\n {\"box_2d\": [586, 137, 616, 180], \"label\": \"chicory seed\"},\n {\"box_2d\": [570, 193, 610, 224], \"label\": \"chicory seed\"},\n {\"box_2d\": [608, 165, 637, 209], \"label\": \"chicory seed\"},\n {\"box_2d\": [634, 127, 672, 157], \"label\": \"chicory seed\"},\n {\"box_2d\": [636, 150, 681, 179], \"label\": \"chicory seed\"},\n {\"box_2d\": [667, 144, 709, 173], \"label\": \"chicory seed\"},\n {\"box_2d\": [659, 170, 702, 199], \"label\": \"chicory seed\"},\n {\"box_2d\": [634, 197, 671, 234], \"label\": \"chicory seed\"},\n {\"box_2d\": [660, 209, 687, 252], \"label\": \"chicory seed\"},\n {\"box_2d\": [577, 255, 616, 292], \"label\": \"chicory seed\"},\n {\"box_2d\": [572, 285, 601, 329], \"label\": \"chicory seed\"},\n {\"box_2d\": [556, 362, 596, 396], \"label\": \"chicory seed\"},\n {\"box_2d\": [592, 314, 620, 358], \"label\": \"chicory seed\"},\n {\"box_2d\": [606, 297, 645, 332], \"label\": \"chicory seed\"},\n {\"box_2d\": [608, 350, 636, 394], \"label\": \"chicory seed\"},\n {\"box_2d\": [621, 387, 659, 427], \"label\": \"chicory seed\"},\n {\"box_2d\": [603, 417, 636, 459], \"label\": \"chicory seed\"},\n {\"box_2d\": [652, 401, 687, 443], \"label\": \"chicory seed\"},\n {\"box_2d\": [674, 420, 713, 455], \"label\": \"chicory seed\"},\n {\"box_2d\": [560, 522, 598, 560], \"label\": \"chicory seed\"},\n {\"box_2d\": [573, 550, 605, 594], \"label\": \"chicory seed\"},\n {\"box_2d\": [608, 479, 648, 514], \"label\": \"chicory seed\"},\n {\"box_2d\": [602, 516, 639, 561], \"label\": \"chicory seed\"},\n {\"box_2d\": [636, 571, 673, 610], \"label\": \"chicory seed\"},\n {\"box_2d\": [598, 609, 641, 641], \"label\": \"chicory seed\"},\n {\"box_2d\": [608, 640, 642, 679], \"label\": \"chicory seed\"},\n {\"box_2d\": [595, 657, 623, 702], \"label\": \"chicory seed\"},\n {\"box_2d\": [628, 659, 663, 701], \"label\": \"chicory seed\"},\n {\"box_2d\": [663, 642, 689, 686], \"label\": \"chicory seed\"},\n {\"box_2d\": [575, 717, 615, 750], \"label\": \"chicory seed\"},\n {\"box_2d\": [566, 748, 594, 791], \"label\": \"chicory seed\"},\n {\"box_2d\": [598, 789, 637, 826], \"label\": \"chicory seed\"},\n {\"box_2d\": [603, 822, 644, 847], \"label\": \"chicory seed\"},\n {\"box_2d\": [574, 844, 613, 881], \"label\": \"chicory seed\"},\n {\"box_2d\": [596, 854, 635, 889], \"label\": \"chicory seed\"},\n {\"box_2d\": [626, 846, 668, 872], \"label\": \"chicory seed\"},\n {\"box_2d\": [652, 793, 690, 832], \"label\": \"chicory seed\"},\n {\"box_2d\": [649, 724, 690, 759], \"label\": \"chicory seed\"},\n {\"box_2d\": [671, 686, 706, 730], \"label\": \"chicory seed\"},\n {\"box_2d\": [688, 700, 726, 737], \"label\": \"chicory seed\"},\n {\"box_2d\": [678, 756, 711, 798], \"label\": \"chicory seed\"},\n {\"box_2d\": [689, 798, 723, 842], \"label\": \"chicory seed\"},\n {\"box_2d\": [640, 249, 675, 286], \"label\": \"chicory seed\"},\n {\"box_2d\": [634, 282, 675, 317], \"label\": \"chicory seed\"},\n {\"box_2d\": [636, 319, 674, 346], \"label\": \"chicory seed\"},\n {\"box_2d\": [658, 306, 697, 335], \"label\": \"chicory seed\"},\n {\"box_2d\": [659, 332, 701, 359], \"label\": \"chicory seed\"},\n {\"box_2d\": [668, 353, 695, 396], \"label\": \"chicory seed\"},\n {\"box_2d\": [667, 278, 706, 310], \"label\": \"chicory seed\"},\n {\"box_2d\": [674, 236, 701, 281], \"label\": \"chicory seed\"},\n {\"box_2d\": [684, 219, 721, 260], \"label\": \"chicory seed\"},\n {\"box_2d\": [673, 194, 712, 227], \"label\": \"chicory seed\"},\n {\"box_2d\": [696, 168, 728, 210], \"label\": \"chicory seed\"},\n {\"box_2d\": [711, 187, 751, 222], \"label\": \"chicory seed\"},\n {\"box_2d\": [724, 203, 766, 238], \"label\": \"chicory seed\"},\n {\"box_2d\": [739, 225, 774, 264], \"label\": \"chicory seed\"},\n {\"box_2d\": [751, 239, 792, 269], \"label\": \"chicory seed\"},\n {\"box_2d\": [704, 260, 733, 304], \"label\": \"chicory seed\"},\n {\"box_2d\": [695, 302, 723, 345], \"label\": \"chicory seed\"},\n {\"box_2d\": [690, 341, 725, 378], \"label\": \"chicory seed\"},\n {\"box_2d\": [701, 371, 729, 415], \"label\": \"chicory seed\"},\n {\"box_2d\": [716, 345, 742, 392], \"label\": \"chicory seed\"},\n {\"box_2d\": [718, 303, 749, 347], \"label\": \"chicory seed\"},\n {\"box_2d\": [732, 264, 761, 307], \"label\": \"chicory seed\"},\n {\"box_2d\": [759, 264, 785, 307], \"label\": \"chicory seed\"},\n {\"box_2d\": [777, 252, 811, 294], \"label\": \"chicory seed\"},\n {\"box_2d\": [743, 302, 784, 324], \"label\": \"chicory seed\"},\n {\"box_2d\": [746, 320, 786, 343], \"label\": \"chicory seed\"},\n {\"box_2d\": [755, 334, 797, 362], \"label\": \"chicory seed\"},\n {\"box_2d\": [783, 291, 817, 332], \"label\": \"chicory seed\"},\n {\"box_2d\": [805, 310, 847, 338], \"label\": \"chicory seed\"},\n {\"box_2d\": [796, 335, 836, 368], \"label\": \"chicory seed\"},\n {\"box_2d\": [734, 358, 777, 384], \"label\": \"chicory seed\"},\n {\"box_2d\": [733, 378, 775, 405], \"label\": \"chicory seed\"},\n {\"box_2d\": [774, 350, 799, 391], \"label\": \"chicory seed\"},\n {\"box_2d\": [796, 358, 827, 400], \"label\": \"chicory seed\"},\n {\"box_2d\": [824, 361, 865, 388], \"label\": \"chicory seed\"},\n {\"box_2d\": [820, 385, 862, 413], \"label\": \"chicory seed\"},\n {\"box_2d\": [713, 414, 741, 458], \"label\": \"chicory seed\"},\n {\"box_2d\": [733, 404, 759, 450], \"label\": \"chicory seed\"},\n {\"box_2d\": [752, 390, 794, 421], \"label\": \"chicory seed\"},\n {\"box_2d\": [775, 397, 814, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [757, 420, 799, 452], \"label\": \"chicory seed\"},\n {\"box_2d\": [719, 459, 747, 504], \"label\": \"chicory seed\"},\n {\"box_2d\": [759, 458, 802, 486], \"label\": \"chicory seed\"},\n {\"box_2d\": [803, 432, 833, 476], \"label\": \"chicory seed\"},\n {\"box_2d\": [829, 442, 857, 486], \"label\": \"chicory seed\"},\n {\"box_2d\": [858, 414, 885, 466], \"label\": \"chicory seed\"},\n {\"box_2d\": [667, 525, 700, 565], \"label\": \"chicory seed\"},\n {\"box_2d\": [686, 489, 721, 532], \"label\": \"chicory seed\"},\n {\"box_2d\": [679, 562, 718, 599], \"label\": \"chicory seed\"},\n {\"box_2d\": [699, 541, 738, 567], \"label\": \"chicory seed\"},\n {\"box_2d\": [692, 607, 720, 652], \"label\": \"chicory seed\"},\n {\"box_2d\": [714, 593, 748, 638], \"label\": \"chicory seed\"},\n {\"box_2d\": [719, 566, 759, 598], \"label\": \"chicory seed\"},\n {\"box_2d\": [739, 536, 783, 564], \"label\": \"chicory seed\"},\n {\"box_2d\": [753, 509, 792, 548], \"label\": \"chicory seed\"},\n {\"box_2d\": [776, 495, 815, 537], \"label\": \"chicory seed\"},\n {\"box_2d\": [756, 560, 792, 600], \"label\": \"chicory seed\"},\n {\"box_2d\": [794, 552, 829, 593], \"label\": \"chicory seed\"},\n {\"box_2d\": [814, 522, 856, 550], \"label\": \"chicory seed\"},\n {\"box_2d\": [860, 499, 886, 546], \"label\": \"chicory seed\"},\n {\"box_2d\": [830, 556, 860, 604], \"label\": \"chicory seed\"},\n {\"box_2d\": [841, 610, 871, 655], \"label\": \"chicory seed\"},\n {\"box_2d\": [724, 644, 761, 683], \"label\": \"chicory seed\"},\n {\"box_2d\": [750, 628, 793, 658], \"label\": \"chicory seed\"},\n {\"box_2d\": [760, 656, 793, 697], \"label\": \"chicory seed\"},\n {\"box_2d\": [738, 694, 767, 737], \"label\": \"chicory seed\"},\n {\"box_2d\": [721, 719, 759, 758], \"label\": \"chicory seed\"},\n {\"box_2d\": [700, 737, 739, 774], \"label\": \"chicory seed\"},\n {\"box_2d\": [712, 771, 753, 798], \"label\": \"chicory seed\"},\n {\"box_2d\": [763, 693, 804, 724], \"label\": \"chicory seed\"},\n {\"box_2d\": [760, 727, 799, 766], \"label\": \"chicory seed\"},\n {\"box_2d\": [796, 661, 829, 702], \"label\": \"chicory seed\"},\n {\"box_2d\": [803, 696, 836, 739], \"label\": \"chicory seed\"},\n {\"box_2d\": [825, 659, 856, 703], \"label\": \"chicory seed\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 18415, "elapsed_seconds": 130.45243941701483, "metadata": {"match_method": "map", "num_predictions": 290, "num_ground_truth": 291, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3465346395969391, "attempts": 4, "retries": 3, "total_seconds": 868.6216, "transient_errors": ["RemoteProtocolError", "RemoteProtocolError", "ReadTimeout"]}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 245, "image": "DJI_0271_JPG_jpg.rf.58c0e5179915be4446df421b02825d3d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [556, 789, 710, 915], \"label\": \"excavator\"},\n {\"box_2d\": [321, 681, 359, 735], \"label\": \"excavator\"},\n {\"box_2d\": [265, 86, 313, 132], \"label\": \"excavator\"},\n {\"box_2d\": [221, 84, 280, 116], \"label\": \"excavator\"},\n {\"box_2d\": [184, 790, 232, 828], \"label\": \"dump truck\"},\n {\"box_2d\": [0, 360, 1000, 623], \"label\": \"tower crane\"}\n]\n```", "correct": true, "input_tokens": 1206, "output_tokens": 1229, "elapsed_seconds": 74.2558155420702, "metadata": {"match_method": "map", "num_predictions": 6, "num_ground_truth": 6, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 75.0791}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 246, "image": "IMG_3900_JPG.rf.5ee75659ac02193213ba7636038947a4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [325, 565, 391, 669], \"label\": \"50 poker chip\"},\n {\"box_2d\": [357, 320, 425, 426], \"label\": \"10 poker chip\"},\n {\"box_2d\": [368, 485, 437, 592], \"label\": \"5 poker chip\"},\n {\"box_2d\": [393, 637, 464, 747], \"label\": \"10000 poker chip\"},\n {\"box_2d\": [405, 153, 478, 265], \"label\": \"500 poker chip\"},\n {\"box_2d\": [415, 265, 488, 376], \"label\": \"10 poker chip\"},\n {\"box_2d\": [427, 422, 502, 532], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [457, 681, 535, 798], \"label\": \"50 poker chip\"},\n {\"box_2d\": [468, 326, 545, 439], \"label\": \"500 poker chip\"},\n {\"box_2d\": [482, 489, 562, 603], \"label\": \"100 poker chip\"},\n {\"box_2d\": [499, 92, 581, 212], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [513, 206, 596, 325], \"label\": \"100 poker chip\"},\n {\"box_2d\": [502, 598, 585, 717], \"label\": \"100 poker chip\"},\n {\"box_2d\": [525, 392, 608, 511], \"label\": \"10 poker chip\"},\n {\"box_2d\": [539, 738, 625, 864], \"label\": \"100 poker chip\"},\n {\"box_2d\": [565, 285, 654, 408], \"label\": \"10 poker chip\"},\n {\"box_2d\": [589, 134, 681, 263], \"label\": \"10 poker chip\"},\n {\"box_2d\": [580, 616, 672, 741], \"label\": \"5 poker chip\"},\n {\"box_2d\": [593, 469, 686, 594], \"label\": \"50 poker chip\"},\n {\"box_2d\": [623, 737, 718, 868], \"label\": \"100 poker chip\"},\n {\"box_2d\": [630, 355, 728, 484], \"label\": \"10 poker chip\"},\n {\"box_2d\": [698, 250, 803, 386], \"label\": \"20 poker chip\"},\n {\"box_2d\": [688, 637, 792, 773], \"label\": \"100 poker chip\"},\n {\"box_2d\": [718, 397, 825, 533], \"label\": \"10 poker chip\"},\n {\"box_2d\": [743, 527, 853, 667], \"label\": \"100 poker chip\"}\n]\n```", "correct": true, "input_tokens": 1252, "output_tokens": 2315, "elapsed_seconds": 24.71237129101064, "metadata": {"match_method": "map", "num_predictions": 25, "num_ground_truth": 25, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 25.2792}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 247, "image": "9AAEA6F5-FD0E-47BE-8596-0D85E5F62F1A_jpg.rf.7b7e8cbfdfc78f2c2cad6219290c51d6.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [137, 182, 190, 265], \"label\": \"pill\"},\n {\"box_2d\": [171, 211, 209, 300], \"label\": \"pill\"},\n {\"box_2d\": [138, 269, 195, 349], \"label\": \"pill\"},\n {\"box_2d\": [165, 410, 245, 452], \"label\": \"pill\"},\n {\"box_2d\": [166, 467, 236, 534], \"label\": \"pill\"},\n {\"box_2d\": [161, 541, 206, 623], \"label\": \"pill\"},\n {\"box_2d\": [92, 728, 174, 765], \"label\": \"pill\"},\n {\"box_2d\": [156, 687, 223, 756], \"label\": \"pill\"},\n {\"box_2d\": [261, 205, 345, 259], \"label\": \"pill\"},\n {\"box_2d\": [380, 187, 449, 265], \"label\": \"pill\"},\n {\"box_2d\": [447, 167, 537, 208], \"label\": \"pill\"},\n {\"box_2d\": [496, 251, 575, 323], \"label\": \"pill\"},\n {\"box_2d\": [245, 371, 300, 453], \"label\": \"pill\"},\n {\"box_2d\": [296, 432, 380, 483], \"label\": \"pill\"},\n {\"box_2d\": [287, 472, 341, 553], \"label\": \"pill\"},\n {\"box_2d\": [320, 484, 377, 563], \"label\": \"pill\"},\n {\"box_2d\": [352, 522, 435, 566], \"label\": \"pill\"},\n {\"box_2d\": [316, 567, 401, 600], \"label\": \"pill\"},\n {\"box_2d\": [312, 600, 398, 633], \"label\": \"pill\"},\n {\"box_2d\": [337, 628, 422, 663], \"label\": \"pill\"},\n {\"box_2d\": [333, 661, 419, 696], \"label\": \"pill\"},\n {\"box_2d\": [297, 689, 381, 724], \"label\": \"pill\"},\n {\"box_2d\": [295, 721, 375, 780], \"label\": \"pill\"},\n {\"box_2d\": [361, 706, 445, 752], \"label\": \"pill\"},\n {\"box_2d\": [378, 738, 464, 779], \"label\": \"pill\"},\n {\"box_2d\": [403, 529, 470, 602], \"label\": \"pill\"},\n {\"box_2d\": [442, 548, 512, 621], \"label\": \"pill\"},\n {\"box_2d\": [465, 574, 529, 654], \"label\": \"pill\"},\n {\"box_2d\": [443, 328, 529, 375], \"label\": \"pill\"},\n {\"box_2d\": [451, 358, 537, 405], \"label\": \"pill\"},\n {\"box_2d\": [464, 443, 539, 513], \"label\": \"pill\"},\n {\"box_2d\": [520, 388, 560, 477], \"label\": \"pill\"},\n {\"box_2d\": [555, 354, 590, 445], \"label\": \"pill\"},\n {\"box_2d\": [600, 361, 692, 398], \"label\": \"pill\"},\n {\"box_2d\": [468, 728, 549, 788], \"label\": \"pill\"},\n {\"box_2d\": [520, 619, 597, 685], \"label\": \"pill\"},\n {\"box_2d\": [554, 685, 643, 731], \"label\": \"pill\"},\n {\"box_2d\": [587, 724, 673, 781], \"label\": \"pill\"},\n {\"box_2d\": [562, 749, 649, 805], \"label\": \"pill\"},\n {\"box_2d\": [694, 286, 752, 375], \"label\": \"pill\"},\n {\"box_2d\": [793, 288, 845, 382], \"label\": \"pill\"},\n {\"box_2d\": [684, 638, 725, 729], \"label\": \"pill\"},\n {\"box_2d\": [719, 640, 764, 730], \"label\": \"pill\"},\n {\"box_2d\": [757, 631, 802, 722], \"label\": \"pill\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 3849, "elapsed_seconds": 35.128606542013586, "metadata": {"match_method": "map", "num_predictions": 44, "num_ground_truth": 44, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 35.553}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 248, "image": "DJI_0237_JPG_jpg.rf.cb5e6b368dca69cc9b7bc36fb47fd6fb.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [585, 559, 750, 622], \"label\": \"excavator\"},\n {\"box_2d\": [381, 866, 434, 949], \"label\": \"concrete mixer\"},\n {\"box_2d\": [299, 180, 333, 232], \"label\": \"dump truck\"},\n {\"box_2d\": [274, 226, 305, 273], \"label\": \"dump truck\"},\n {\"box_2d\": [254, 924, 707, 1000], \"label\": \"tower crane\"},\n {\"box_2d\": [0, 833, 228, 981], \"label\": \"tower crane\"}\n]\n```", "correct": true, "input_tokens": 1209, "output_tokens": 982, "elapsed_seconds": 31.94723012507893, "metadata": {"match_method": "map", "num_predictions": 6, "num_ground_truth": 7, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8762375712394714, "attempts": 1, "retries": 0, "total_seconds": 32.7371}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 249, "image": "42ba34_9_9_png_jpg.rf.30ad6b17178011a7360591145cf422a2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [379, 20, 420, 32], \"label\": \"goalkeeper\"},\n {\"box_2d\": [465, 165, 515, 181], \"label\": \"player\"},\n {\"box_2d\": [477, 200, 526, 211], \"label\": \"player\"},\n {\"box_2d\": [610, 256, 667, 270], \"label\": \"player\"},\n {\"box_2d\": [587, 314, 639, 327], \"label\": \"player\"},\n {\"box_2d\": [367, 306, 405, 320], \"label\": \"player\"},\n {\"box_2d\": [358, 319, 398, 330], \"label\": \"player\"},\n {\"box_2d\": [298, 408, 334, 417], \"label\": \"player\"},\n {\"box_2d\": [399, 452, 440, 464], \"label\": \"player\"},\n {\"box_2d\": [409, 455, 452, 467], \"label\": \"player\"},\n {\"box_2d\": [381, 479, 418, 495], \"label\": \"player\"},\n {\"box_2d\": [384, 477, 393, 483], \"label\": \"football\"},\n {\"box_2d\": [422, 479, 470, 490], \"label\": \"referee\"},\n {\"box_2d\": [509, 438, 563, 449], \"label\": \"player\"},\n {\"box_2d\": [471, 502, 521, 519], \"label\": \"player\"},\n {\"box_2d\": [313, 566, 349, 577], \"label\": \"player\"},\n {\"box_2d\": [399, 590, 443, 601], \"label\": \"player\"},\n {\"box_2d\": [322, 657, 358, 669], \"label\": \"player\"},\n {\"box_2d\": [443, 673, 491, 686], \"label\": \"player\"},\n {\"box_2d\": [386, 715, 441, 725], \"label\": \"player\"},\n {\"box_2d\": [543, 697, 600, 715], \"label\": \"player\"},\n {\"box_2d\": [613, 676, 676, 695], \"label\": \"player\"},\n {\"box_2d\": [756, 889, 825, 912], \"label\": \"referee\"},\n {\"box_2d\": [382, 991, 423, 1000], \"label\": \"player\"}\n]\n```", "correct": false, "input_tokens": 1242, "output_tokens": 2453, "elapsed_seconds": 23.43792766693514, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.77970290184021, "attempts": 1, "retries": 0, "total_seconds": 23.5238}} diff --git a/results/detection_gemini-4-argon-eap_high_20261013_074327_2.jsonl b/results/detection_gemini-4-argon-eap_high_20261013_074327_2.jsonl deleted file mode 100644 index 782c209..0000000 --- a/results/detection_gemini-4-argon-eap_high_20261013_074327_2.jsonl +++ /dev/null @@ -1,250 +0,0 @@ -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 0, "image": "Screenshot-2024-05-16-144612_png.rf.ae5a345319058fdba768605388143544.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [164, 259, 192, 290], \"label\": \"bullet hole\"},\n {\"box_2d\": [240, 270, 267, 300], \"label\": \"bullet hole\"},\n {\"box_2d\": [347, 285, 376, 315], \"label\": \"bullet hole\"},\n {\"box_2d\": [416, 293, 444, 323], \"label\": \"bullet hole\"},\n {\"box_2d\": [213, 548, 239, 578], \"label\": \"bullet hole\"},\n {\"box_2d\": [286, 548, 316, 577], \"label\": \"bullet hole\"},\n {\"box_2d\": [361, 548, 390, 578], \"label\": \"bullet hole\"},\n {\"box_2d\": [118, 833, 143, 859], \"label\": \"bullet hole\"},\n {\"box_2d\": [273, 832, 298, 857], \"label\": \"bullet hole\"},\n {\"box_2d\": [401, 761, 430, 789], \"label\": \"bullet hole\"},\n {\"box_2d\": [452, 890, 483, 920], \"label\": \"bullet hole\"},\n {\"box_2d\": [416, 968, 446, 999], \"label\": \"bullet hole\"},\n {\"box_2d\": [525, 965, 553, 998], \"label\": \"bullet hole\"},\n {\"box_2d\": [614, 71, 640, 98], \"label\": \"bullet hole\"},\n {\"box_2d\": [833, 39, 858, 70], \"label\": \"bullet hole\"},\n {\"box_2d\": [891, 155, 914, 182], \"label\": \"bullet hole\"},\n {\"box_2d\": [819, 232, 849, 259], \"label\": \"bullet hole\"},\n {\"box_2d\": [703, 311, 726, 336], \"label\": \"bullet hole\"},\n {\"box_2d\": [562, 463, 594, 495], \"label\": \"bullet hole\"},\n {\"box_2d\": [649, 390, 678, 424], \"label\": \"bullet hole\"},\n {\"box_2d\": [868, 431, 895, 461], \"label\": \"bullet hole\"},\n {\"box_2d\": [820, 459, 849, 489], \"label\": \"bullet hole\"},\n {\"box_2d\": [832, 570, 862, 605], \"label\": \"bullet hole\"},\n {\"box_2d\": [773, 701, 804, 735], \"label\": \"bullet hole\"},\n {\"box_2d\": [953, 686, 984, 721], \"label\": \"bullet hole\"},\n {\"box_2d\": [953, 888, 985, 920], \"label\": \"bullet hole\"},\n {\"box_2d\": [836, 889, 868, 922], \"label\": \"bullet hole\"},\n {\"box_2d\": [575, 888, 605, 918], \"label\": \"bullet hole\"},\n {\"box_2d\": [518, 824, 545, 856], \"label\": \"bullet hole\"}\n]\n```", "correct": false, "input_tokens": 1226, "output_tokens": 2883, "elapsed_seconds": 23.119279084028676, "metadata": {"match_method": "map", "num_predictions": 29, "num_ground_truth": 29, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7397453784942627, "attempts": 1, "retries": 0, "total_seconds": 23.147}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 1, "image": "img_462887999701516572_png.rf.318af6a4e9ad42c15e8fcc520375ad9b.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [306, 251, 369, 369], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [288, 365, 347, 479], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [311, 467, 369, 582], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [293, 571, 356, 691], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [313, 681, 377, 801], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [351, 234, 418, 362], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [333, 355, 394, 474], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [357, 464, 419, 583], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [338, 571, 401, 695], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [360, 684, 426, 811], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [399, 213, 469, 348], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [380, 348, 446, 472], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [408, 454, 473, 582], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [387, 569, 454, 696], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [410, 687, 480, 825], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [453, 194, 521, 337], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [432, 331, 499, 464], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [464, 450, 531, 584], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [442, 570, 511, 703], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [466, 691, 538, 839], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [513, 173, 581, 329], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [490, 321, 558, 461], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [523, 444, 593, 586], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [500, 571, 571, 712], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [526, 697, 598, 855], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [578, 155, 650, 319], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [553, 309, 622, 456], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [590, 437, 661, 585], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [566, 571, 636, 719], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [592, 698, 666, 868], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [648, 130, 728, 301], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [620, 291, 694, 446], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [658, 425, 738, 583], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [633, 567, 710, 725], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [662, 708, 745, 888], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [726, 108, 821, 286], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [691, 273, 782, 439], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [734, 414, 830, 580], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [705, 566, 800, 732], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [738, 721, 835, 902], \"label\": \"full portable gas cylinder\"}\n]\n```", "correct": true, "input_tokens": 1217, "output_tokens": 2703, "elapsed_seconds": 23.71271854196675, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 40, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 24.0272}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 2, "image": "basketball-player-detection_boston-celtics-new-york-knicks-game-1-q1-03-16-03-11-0135_png.rf.87404d3bb76bef98d9e926e5ec1e2966.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [267, 291, 299, 309], \"label\": \"basketball\"},\n {\"box_2d\": [269, 302, 342, 338], \"label\": \"basket rim\"},\n {\"box_2d\": [284, 319, 616, 377], \"label\": \"player\"},\n {\"box_2d\": [284, 319, 616, 377], \"label\": \"player doing layup dunk\"},\n {\"box_2d\": [368, 285, 641, 381], \"label\": \"player\"},\n {\"box_2d\": [368, 371, 591, 434], \"label\": \"player\"},\n {\"box_2d\": [458, 411, 701, 487], \"label\": \"player\"},\n {\"box_2d\": [628, 349, 900, 418], \"label\": \"player\"},\n {\"box_2d\": [266, 672, 502, 738], \"label\": \"player\"},\n {\"box_2d\": [412, 800, 687, 853], \"label\": \"player\"},\n {\"box_2d\": [658, 727, 950, 822], \"label\": \"player\"},\n {\"box_2d\": [745, 882, 995, 963], \"label\": \"player\"},\n {\"box_2d\": [836, 411, 998, 471], \"label\": \"referee\"},\n {\"box_2d\": [276, 263, 475, 304], \"label\": \"referee\"},\n {\"box_2d\": [704, 376, 734, 391], \"label\": \"jersey number\"},\n {\"box_2d\": [522, 453, 552, 463], \"label\": \"jersey number\"},\n {\"box_2d\": [341, 704, 362, 712], \"label\": \"jersey number\"},\n {\"box_2d\": [471, 818, 498, 829], \"label\": \"jersey number\"},\n {\"box_2d\": [728, 777, 760, 801], \"label\": \"jersey number\"},\n {\"box_2d\": [898, 429, 924, 444], \"label\": \"jersey number\"}\n]\n```", "correct": false, "input_tokens": 1256, "output_tokens": 2485, "elapsed_seconds": 24.5404893750092, "metadata": {"match_method": "map", "num_predictions": 20, "num_ground_truth": 19, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.555555522441864, "attempts": 1, "retries": 0, "total_seconds": 24.6768}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 3, "image": "fall-detection_all_mp4-1653_jpg.rf.9fa9a5ca42070b76929d3ba6ab91e945.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [469, 355, 538, 516], \"label\": \"fallen person\"},\n {\"box_2d\": [512, 431, 623, 592], \"label\": \"fallen person\"},\n {\"box_2d\": [417, 209, 488, 342], \"label\": \"fallen person\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 482, "elapsed_seconds": 8.110420875018463, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 8.1348}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 4, "image": "Screenshot-2024-05-16-150857_png.rf.d53edfaec65ba17dbc56ff856e70ed0d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 745, 21, 773], \"label\": \"bullet hole\"},\n {\"box_2d\": [26, 462, 52, 488], \"label\": \"bullet hole\"},\n {\"box_2d\": [59, 517, 87, 549], \"label\": \"bullet hole\"},\n {\"box_2d\": [70, 629, 98, 659], \"label\": \"bullet hole\"},\n {\"box_2d\": [112, 825, 140, 855], \"label\": \"bullet hole\"},\n {\"box_2d\": [117, 320, 150, 350], \"label\": \"bullet hole\"},\n {\"box_2d\": [138, 208, 166, 239], \"label\": \"bullet hole\"},\n {\"box_2d\": [162, 617, 190, 646], \"label\": \"bullet hole\"},\n {\"box_2d\": [208, 888, 237, 918], \"label\": \"bullet hole\"},\n {\"box_2d\": [295, 62, 324, 92], \"label\": \"bullet hole\"},\n {\"box_2d\": [338, 322, 367, 352], \"label\": \"bullet hole\"},\n {\"box_2d\": [409, 921, 437, 948], \"label\": \"bullet hole\"},\n {\"box_2d\": [435, 670, 465, 701], \"label\": \"bullet hole\"},\n {\"box_2d\": [436, 309, 466, 339], \"label\": \"bullet hole\"},\n {\"box_2d\": [468, 142, 498, 171], \"label\": \"bullet hole\"},\n {\"box_2d\": [520, 541, 551, 571], \"label\": \"bullet hole\"},\n {\"box_2d\": [547, 962, 576, 992], \"label\": \"bullet hole\"},\n {\"box_2d\": [609, 880, 638, 909], \"label\": \"bullet hole\"},\n {\"box_2d\": [615, 405, 646, 437], \"label\": \"bullet hole\"},\n {\"box_2d\": [624, 0, 652, 23], \"label\": \"bullet hole\"},\n {\"box_2d\": [682, 265, 713, 297], \"label\": \"bullet hole\"},\n {\"box_2d\": [690, 722, 720, 753], \"label\": \"bullet hole\"},\n {\"box_2d\": [709, 566, 740, 598], \"label\": \"bullet hole\"},\n {\"box_2d\": [779, 363, 810, 396], \"label\": \"bullet hole\"},\n {\"box_2d\": [798, 0, 825, 18], \"label\": \"bullet hole\"},\n {\"box_2d\": [799, 228, 831, 258], \"label\": \"bullet hole\"},\n {\"box_2d\": [810, 811, 839, 839], \"label\": \"bullet hole\"},\n {\"box_2d\": [891, 185, 920, 214], \"label\": \"bullet hole\"},\n {\"box_2d\": [921, 631, 951, 661], \"label\": \"bullet hole\"},\n {\"box_2d\": [954, 976, 986, 1000], \"label\": \"bullet hole\"},\n {\"box_2d\": [982, 184, 1000, 211], \"label\": \"bullet hole\"},\n {\"box_2d\": [986, 522, 1000, 552], \"label\": \"bullet hole\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 3283, "elapsed_seconds": 30.23234954092186, "metadata": {"match_method": "map", "num_predictions": 32, "num_ground_truth": 32, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 30.2622}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 5, "image": "oil-tank-detection_oiltank_9_jpg.rf.acb372553a5f5f447313e4035eef562f.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [115, 97, 236, 205], \"label\": \"oil tank\"},\n {\"box_2d\": [109, 229, 230, 338], \"label\": \"oil tank\"},\n {\"box_2d\": [105, 361, 224, 470], \"label\": \"oil tank\"},\n {\"box_2d\": [100, 496, 219, 603], \"label\": \"oil tank\"},\n {\"box_2d\": [95, 627, 214, 735], \"label\": \"oil tank\"},\n {\"box_2d\": [90, 759, 209, 867], \"label\": \"oil tank\"},\n {\"box_2d\": [270, 99, 390, 208], \"label\": \"oil tank\"},\n {\"box_2d\": [265, 232, 384, 341], \"label\": \"oil tank\"},\n {\"box_2d\": [258, 366, 379, 476], \"label\": \"oil tank\"},\n {\"box_2d\": [251, 502, 372, 610], \"label\": \"oil tank\"},\n {\"box_2d\": [245, 634, 368, 742], \"label\": \"oil tank\"},\n {\"box_2d\": [240, 768, 362, 876], \"label\": \"oil tank\"},\n {\"box_2d\": [480, 96, 608, 211], \"label\": \"oil tank\"},\n {\"box_2d\": [475, 232, 604, 346], \"label\": \"oil tank\"},\n {\"box_2d\": [470, 368, 598, 482], \"label\": \"oil tank\"},\n {\"box_2d\": [466, 504, 591, 616], \"label\": \"oil tank\"},\n {\"box_2d\": [461, 640, 586, 753], \"label\": \"oil tank\"},\n {\"box_2d\": [625, 367, 756, 485], \"label\": \"oil tank\"},\n {\"box_2d\": [619, 507, 750, 622], \"label\": \"oil tank\"},\n {\"box_2d\": [613, 646, 743, 760], \"label\": \"oil tank\"}\n]\n```", "correct": true, "input_tokens": 1217, "output_tokens": 1888, "elapsed_seconds": 18.029603042057715, "metadata": {"match_method": "map", "num_predictions": 20, "num_ground_truth": 20, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 18.1121}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 6, "image": "signatures_image_38_png_jpg.rf.1d9c4bd922f8563e58275de808cd3984.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [362, 745, 412, 931], \"label\": \"signature\"},\n {\"box_2d\": [440, 643, 468, 703], \"label\": \"signature\"},\n {\"box_2d\": [859, 759, 917, 949], \"label\": \"signature\"},\n {\"box_2d\": [950, 633, 982, 696], \"label\": \"signature\"}\n]\n```", "correct": true, "input_tokens": 1211, "output_tokens": 1414, "elapsed_seconds": 20.315708542009816, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 20.3469}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 7, "image": "1704193901210_jpg.rf.2395376f26cee29d85e60b22c59c37b4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [266, 411, 329, 469], \"label\": \"corn kernel\"},\n {\"box_2d\": [309, 527, 355, 600], \"label\": \"corn kernel\"},\n {\"box_2d\": [403, 316, 474, 372], \"label\": \"corn kernel\"},\n {\"box_2d\": [576, 262, 636, 305], \"label\": \"corn kernel\"},\n {\"box_2d\": [540, 425, 590, 490], \"label\": \"corn kernel\"},\n {\"box_2d\": [617, 562, 678, 611], \"label\": \"corn kernel\"},\n {\"box_2d\": [418, 617, 477, 681], \"label\": \"corn kernel\"},\n {\"box_2d\": [532, 654, 583, 728], \"label\": \"corn kernel\"},\n {\"box_2d\": [454, 783, 502, 845], \"label\": \"corn kernel\"},\n {\"box_2d\": [513, 770, 578, 814], \"label\": \"corn kernel\"},\n {\"box_2d\": [609, 747, 661, 806], \"label\": \"corn kernel\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 1125, "elapsed_seconds": 11.374734416021965, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 11.3885}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 8, "image": "IMG_0620_jpeg.rf.0c9c3b0a23079483a0b0e1651801d9a9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [289, 382, 369, 475], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [280, 511, 377, 583], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [285, 580, 391, 644], \"label\": \"caramel corn jelly bean\"},\n {\"box_2d\": [377, 263, 492, 330], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [396, 388, 502, 480], \"label\": \"peach jelly bean\"},\n {\"box_2d\": [380, 510, 488, 594], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [506, 331, 643, 415], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [488, 512, 614, 595], \"label\": \"peach jelly bean\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 1367, "elapsed_seconds": 14.14744279102888, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 14.1888}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 9, "image": "paper-parts_163482_102_jpg.rf.d878bfe8193ad78ee6e9bd012ea9324e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [94, 118, 108, 573], \"label\": \"subsection\"},\n {\"box_2d\": [128, 118, 142, 708], \"label\": \"paragraph\"},\n {\"box_2d\": [196, 335, 343, 667], \"label\": \"figure\"},\n {\"box_2d\": [369, 341, 382, 658], \"label\": \"figure caption\"},\n {\"box_2d\": [432, 118, 447, 493], \"label\": \"subsection\"},\n {\"box_2d\": [466, 118, 513, 862], \"label\": \"paragraph\"},\n {\"box_2d\": [529, 334, 567, 666], \"label\": \"equation\"},\n {\"box_2d\": [581, 421, 610, 579], \"label\": \"equation\"},\n {\"box_2d\": [624, 118, 637, 613], \"label\": \"paragraph\"},\n {\"box_2d\": [654, 338, 692, 662], \"label\": \"equation\"},\n {\"box_2d\": [706, 430, 736, 569], \"label\": \"equation\"},\n {\"box_2d\": [749, 118, 762, 547], \"label\": \"paragraph\"},\n {\"box_2d\": [779, 329, 817, 671], \"label\": \"equation\"},\n {\"box_2d\": [831, 430, 861, 569], \"label\": \"equation\"},\n {\"box_2d\": [923, 491, 936, 509], \"label\": \"page number\"}\n]\n```", "correct": false, "input_tokens": 1250, "output_tokens": 2385, "elapsed_seconds": 23.253522915998474, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 14, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7817656397819519, "attempts": 1, "retries": 0, "total_seconds": 23.2861}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 10, "image": "20210325_203432_jpg.rf.8eb2129f7a101d085f4cb925da755682.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [103, 273, 312, 480], \"label\": \"50 euro cent coin\"},\n {\"box_2d\": [134, 614, 294, 773], \"label\": \"2 euro cent coin\"},\n {\"box_2d\": [291, 461, 456, 628], \"label\": \"10 euro cent coin\"},\n {\"box_2d\": [331, 661, 520, 848], \"label\": \"20 euro cent coin\"},\n {\"box_2d\": [378, 164, 575, 361], \"label\": \"1 euro coin\"},\n {\"box_2d\": [536, 419, 675, 555], \"label\": \"1 euro cent coin\"},\n {\"box_2d\": [702, 203, 881, 383], \"label\": \"5 euro cent coin\"},\n {\"box_2d\": [650, 544, 869, 761], \"label\": \"2 euro coin\"}\n]\n```", "correct": true, "input_tokens": 1272, "output_tokens": 1003, "elapsed_seconds": 8.731949749984778, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 8.7579}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 11, "image": "2024-12-05T02-01-20-119Z-4010_jpg.rf.4f789285ff5c3a1889420326440bc9d1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [374, 483, 439, 531], \"label\": \"screw\"},\n {\"box_2d\": [632, 490, 697, 539], \"label\": \"screw\"},\n {\"box_2d\": [829, 700, 907, 757], \"label\": \"screw\"}\n]\n```", "correct": false, "input_tokens": 1203, "output_tokens": 2574, "elapsed_seconds": 29.737615374964662, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5, "attempts": 1, "retries": 0, "total_seconds": 29.8882}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 12, "image": "Container-146_jpg.rf.1f5b3bfa7143f6b016b2b85ca3940e5c.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [158, 608, 202, 916], \"label\": \"shipping container number\"},\n {\"box_2d\": [213, 749, 251, 825], \"label\": \"container ISO type code\"}\n]\n```", "correct": true, "input_tokens": 1232, "output_tokens": 439, "elapsed_seconds": 5.470205125049688, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 5.4872}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 13, "image": "GP010248_JPG_jpg.rf.c2ac2602f1905971af1173c3ba311542.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [465, 29, 712, 141], \"label\": \"carrot\"},\n {\"box_2d\": [368, 40, 522, 152], \"label\": \"carrot\"},\n {\"box_2d\": [403, 118, 675, 190], \"label\": \"carrot\"},\n {\"box_2d\": [345, 118, 388, 356], \"label\": \"carrot\"},\n {\"box_2d\": [375, 144, 440, 342], \"label\": \"carrot\"},\n {\"box_2d\": [288, 181, 353, 412], \"label\": \"carrot\"},\n {\"box_2d\": [269, 279, 308, 459], \"label\": \"carrot\"},\n {\"box_2d\": [229, 301, 286, 496], \"label\": \"carrot\"},\n {\"box_2d\": [345, 226, 487, 442], \"label\": \"carrot\"},\n {\"box_2d\": [478, 188, 684, 280], \"label\": \"carrot\"},\n {\"box_2d\": [447, 223, 681, 331], \"label\": \"carrot\"},\n {\"box_2d\": [492, 263, 670, 367], \"label\": \"carrot\"},\n {\"box_2d\": [511, 339, 681, 381], \"label\": \"carrot\"},\n {\"box_2d\": [429, 372, 616, 414], \"label\": \"carrot\"},\n {\"box_2d\": [388, 369, 668, 455], \"label\": \"carrot\"},\n {\"box_2d\": [632, 279, 719, 474], \"label\": \"carrot\"},\n {\"box_2d\": [649, 417, 695, 586], \"label\": \"carrot\"},\n {\"box_2d\": [495, 447, 581, 597], \"label\": \"carrot\"},\n {\"box_2d\": [528, 450, 614, 575], \"label\": \"carrot\"},\n {\"box_2d\": [557, 473, 663, 674], \"label\": \"carrot\"},\n {\"box_2d\": [605, 569, 653, 720], \"label\": \"carrot\"},\n {\"box_2d\": [439, 564, 586, 710], \"label\": \"carrot\"},\n {\"box_2d\": [377, 440, 443, 622], \"label\": \"carrot\"},\n {\"box_2d\": [352, 479, 416, 684], \"label\": \"carrot\"},\n {\"box_2d\": [334, 545, 366, 716], \"label\": \"carrot\"},\n {\"box_2d\": [303, 470, 338, 686], \"label\": \"carrot\"},\n {\"box_2d\": [218, 614, 330, 761], \"label\": \"carrot\"},\n {\"box_2d\": [421, 658, 550, 797], \"label\": \"carrot\"},\n {\"box_2d\": [243, 756, 473, 825], \"label\": \"carrot\"},\n {\"box_2d\": [356, 792, 578, 932], \"label\": \"carrot\"},\n {\"box_2d\": [536, 707, 646, 848], \"label\": \"carrot\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 2211, "elapsed_seconds": 19.6946391670499, "metadata": {"match_method": "map", "num_predictions": 31, "num_ground_truth": 31, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 19.7184}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 14, "image": "DJI_20230529095953_0646_T_JPG_jpg.rf.9806615efd3123cda770b6e1a3358930.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [234, 58, 250, 71], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [223, 147, 242, 161], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [180, 620, 200, 633], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [175, 664, 196, 679], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [586, 369, 604, 382], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [577, 459, 596, 473], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [572, 504, 591, 518], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [558, 640, 579, 654], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [555, 684, 575, 698], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [548, 789, 565, 802], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [975, 355, 994, 369], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [928, 814, 948, 828], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [924, 859, 944, 872], \"label\": \"solar panel hot spot\"}\n]\n```", "correct": true, "input_tokens": 1228, "output_tokens": 1740, "elapsed_seconds": 17.166700083995238, "metadata": {"match_method": "map", "num_predictions": 13, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8613861203193665, "attempts": 1, "retries": 0, "total_seconds": 17.1874}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 15, "image": "floorplan-windows-doors_1036_png.rf.377e8848ebf77a1b3fd4e54e9aaa327d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [767, 150, 788, 290], \"label\": \"window\"},\n {\"box_2d\": [771, 365, 845, 452], \"label\": \"door\"},\n {\"box_2d\": [442, 209, 502, 290], \"label\": \"door\"},\n {\"box_2d\": [162, 102, 182, 241], \"label\": \"window\"},\n {\"box_2d\": [164, 300, 183, 364], \"label\": \"window\"},\n {\"box_2d\": [109, 363, 250, 449], \"label\": \"door\"},\n {\"box_2d\": [169, 573, 187, 621], \"label\": \"window\"},\n {\"box_2d\": [171, 777, 189, 840], \"label\": \"window\"},\n {\"box_2d\": [114, 840, 255, 926], \"label\": \"door\"},\n {\"box_2d\": [331, 585, 382, 646], \"label\": \"door\"},\n {\"box_2d\": [320, 702, 382, 848], \"label\": \"door\"},\n {\"box_2d\": [491, 673, 553, 756], \"label\": \"door\"},\n {\"box_2d\": [551, 678, 616, 761], \"label\": \"door\"},\n {\"box_2d\": [655, 595, 684, 656], \"label\": \"door\"},\n {\"box_2d\": [771, 572, 790, 620], \"label\": \"window\"},\n {\"box_2d\": [772, 729, 793, 845], \"label\": \"window\"}\n]\n```", "correct": false, "input_tokens": 1211, "output_tokens": 2608, "elapsed_seconds": 26.07825570902787, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 19, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.781559407711029, "attempts": 1, "retries": 0, "total_seconds": 26.1348}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 16, "image": "IMG_4942_JPG.rf.2d54601c43bd5fdd67c9d6de8428a9ef.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [298, 528, 318, 538], \"label\": \"face\"},\n {\"box_2d\": [299, 555, 318, 565], \"label\": \"face\"},\n {\"box_2d\": [300, 612, 320, 622], \"label\": \"face\"},\n {\"box_2d\": [297, 639, 318, 649], \"label\": \"face\"},\n {\"box_2d\": [333, 660, 353, 671], \"label\": \"face\"},\n {\"box_2d\": [346, 692, 365, 703], \"label\": \"face\"},\n {\"box_2d\": [353, 730, 373, 742], \"label\": \"face\"},\n {\"box_2d\": [359, 754, 381, 765], \"label\": \"face\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 1478, "elapsed_seconds": 18.79030804208014, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 9, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7178217768669128, "attempts": 1, "retries": 0, "total_seconds": 19.1098}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 17, "image": "4103433_ContLeftUpper_f_jpg.rf.c38c0a22d926bfd30646b27374a1f854.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [259, 42, 291, 80], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [481, 22, 512, 50], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [267, 99, 303, 128], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [313, 99, 344, 127], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [365, 101, 418, 130], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [581, 96, 615, 132], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [588, 154, 624, 204], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [271, 180, 322, 208], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [327, 179, 358, 208], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [329, 259, 359, 286], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [384, 259, 413, 286], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [269, 338, 297, 364], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [330, 337, 360, 364], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [386, 338, 415, 366], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [389, 417, 416, 444], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [392, 498, 429, 522], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [442, 693, 471, 718], \"label\": \"shipping container wall dent\"}\n]\n```", "correct": false, "input_tokens": 1224, "output_tokens": 2360, "elapsed_seconds": 20.298296209075488, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.1330976039171219, "attempts": 1, "retries": 0, "total_seconds": 20.3905}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 18, "image": "a9f16c_8_1_png_jpg.rf.21f65c07fc1fd4b937623a9b2c4bf919.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [393, 21, 441, 39], \"label\": \"goalkeeper\"},\n {\"box_2d\": [342, 978, 386, 993], \"label\": \"goalkeeper\"},\n {\"box_2d\": [407, 401, 448, 417], \"label\": \"referee\"},\n {\"box_2d\": [853, 956, 938, 980], \"label\": \"referee\"},\n {\"box_2d\": [642, 560, 656, 568], \"label\": \"football\"},\n {\"box_2d\": [821, 280, 889, 300], \"label\": \"player\"},\n {\"box_2d\": [645, 279, 708, 298], \"label\": \"player\"},\n {\"box_2d\": [551, 189, 603, 213], \"label\": \"player\"},\n {\"box_2d\": [539, 206, 591, 227], \"label\": \"player\"},\n {\"box_2d\": [473, 206, 525, 226], \"label\": \"player\"},\n {\"box_2d\": [413, 232, 461, 246], \"label\": \"player\"},\n {\"box_2d\": [419, 286, 463, 304], \"label\": \"player\"},\n {\"box_2d\": [344, 271, 386, 284], \"label\": \"player\"},\n {\"box_2d\": [338, 297, 380, 310], \"label\": \"player\"},\n {\"box_2d\": [271, 326, 309, 336], \"label\": \"player\"},\n {\"box_2d\": [239, 408, 270, 415], \"label\": \"player\"},\n {\"box_2d\": [308, 449, 349, 460], \"label\": \"player\"},\n {\"box_2d\": [303, 467, 341, 476], \"label\": \"player\"},\n {\"box_2d\": [441, 404, 491, 419], \"label\": \"player\"},\n {\"box_2d\": [374, 534, 413, 545], \"label\": \"player\"},\n {\"box_2d\": [421, 523, 470, 534], \"label\": \"player\"},\n {\"box_2d\": [501, 513, 553, 526], \"label\": \"player\"},\n {\"box_2d\": [592, 563, 653, 586], \"label\": \"player\"},\n {\"box_2d\": [242, 647, 273, 654], \"label\": \"player\"},\n {\"box_2d\": [336, 729, 378, 740], \"label\": \"player\"}\n]\n```", "correct": true, "input_tokens": 1242, "output_tokens": 3288, "elapsed_seconds": 31.07493241596967, "metadata": {"match_method": "map", "num_predictions": 25, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9158415794372559, "attempts": 1, "retries": 0, "total_seconds": 31.1613}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 19, "image": "20230220_113558_jpg.rf.d5df52cc566f78f19b292c4a237d076c.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [760, 439, 955, 458], \"label\": \"crack\"}\n]\n```", "correct": false, "input_tokens": 1225, "output_tokens": 273, "elapsed_seconds": 4.4691905829822645, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 4.4824}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 20, "image": "frame_0277_jpg.rf.c6aa8dac950a9954eaaa15c2c1350db2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [9, 129, 64, 169], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [193, 127, 258, 174], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [334, 89, 405, 134], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [60, 270, 111, 296], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [134, 246, 192, 287], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [283, 237, 357, 281], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [445, 227, 525, 269], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [855, 217, 940, 265], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [31, 359, 86, 392], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [256, 369, 323, 406], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [52, 429, 121, 464], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [166, 433, 223, 467], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [332, 456, 405, 491], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [403, 467, 467, 507], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [605, 436, 675, 481], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [867, 494, 916, 539], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [31, 527, 94, 560], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [207, 533, 273, 571], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [309, 545, 365, 578], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [355, 586, 401, 612], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [449, 584, 511, 622], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [542, 553, 625, 592], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [95, 626, 148, 658], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [210, 639, 273, 672], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [331, 656, 391, 690], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [455, 675, 515, 711], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [627, 688, 663, 733], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 242, 34, 270], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 269, 37, 299], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 301, 43, 337], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [1, 412, 46, 440], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 447, 49, 476], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [6, 495, 47, 526], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [4, 541, 45, 567], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 565, 50, 592], \"label\": \"garlic on conveyor\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 3225, "elapsed_seconds": 26.40246404102072, "metadata": {"match_method": "map", "num_predictions": 35, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9900990128517151, "attempts": 1, "retries": 0, "total_seconds": 26.4925}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 21, "image": "construction-safety_ppe_0034_jpg.rf.38e91c4daafe26a0be27d2c1133af960.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [308, 76, 918, 201], \"label\": \"person\"},\n {\"box_2d\": [308, 134, 355, 183], \"label\": \"safety helmet\"},\n {\"box_2d\": [401, 96, 610, 194], \"label\": \"safety vest\"},\n {\"box_2d\": [373, 190, 918, 300], \"label\": \"person\"},\n {\"box_2d\": [373, 224, 421, 272], \"label\": \"safety helmet\"},\n {\"box_2d\": [457, 190, 672, 290], \"label\": \"safety vest\"},\n {\"box_2d\": [387, 292, 914, 385], \"label\": \"person\"},\n {\"box_2d\": [387, 322, 435, 368], \"label\": \"safety helmet\"},\n {\"box_2d\": [478, 292, 676, 383], \"label\": \"safety vest\"},\n {\"box_2d\": [383, 391, 908, 488], \"label\": \"person\"},\n {\"box_2d\": [382, 417, 434, 459], \"label\": \"safety helmet\"},\n {\"box_2d\": [461, 391, 718, 488], \"label\": \"safety vest\"},\n {\"box_2d\": [410, 480, 907, 560], \"label\": \"person\"},\n {\"box_2d\": [410, 500, 463, 546], \"label\": \"safety helmet\"},\n {\"box_2d\": [497, 484, 708, 559], \"label\": \"safety vest\"},\n {\"box_2d\": [371, 541, 904, 646], \"label\": \"person\"},\n {\"box_2d\": [371, 569, 414, 611], \"label\": \"safety helmet\"},\n {\"box_2d\": [447, 547, 689, 646], \"label\": \"safety vest\"},\n {\"box_2d\": [390, 631, 908, 731], \"label\": \"person\"},\n {\"box_2d\": [389, 660, 439, 703], \"label\": \"safety helmet\"},\n {\"box_2d\": [466, 646, 660, 729], \"label\": \"safety vest\"},\n {\"box_2d\": [366, 706, 910, 821], \"label\": \"person\"},\n {\"box_2d\": [366, 735, 410, 779], \"label\": \"safety helmet\"},\n {\"box_2d\": [451, 721, 643, 813], \"label\": \"safety vest\"},\n {\"box_2d\": [339, 806, 910, 922], \"label\": \"person\"},\n {\"box_2d\": [339, 832, 386, 878], \"label\": \"safety helmet\"},\n {\"box_2d\": [415, 823, 626, 911], \"label\": \"safety vest\"}\n]\n```", "correct": true, "input_tokens": 1222, "output_tokens": 2287, "elapsed_seconds": 20.749434542027302, "metadata": {"match_method": "map", "num_predictions": 27, "num_ground_truth": 27, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 20.7883}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 22, "image": "2024-12-05T02-00-55-647Z-1001_jpg.rf.c0a64fec0c1e44672b8338dc3d88f40e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [265, 675, 340, 731], \"label\": \"screw\"},\n {\"box_2d\": [430, 538, 498, 590], \"label\": \"cable screw\"},\n {\"box_2d\": [523, 678, 595, 734], \"label\": \"screw\"},\n {\"box_2d\": [591, 307, 735, 404], \"label\": \"wire hole\"}\n]\n```", "correct": false, "input_tokens": 1206, "output_tokens": 822, "elapsed_seconds": 11.567687208065763, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6666666269302368, "attempts": 1, "retries": 0, "total_seconds": 11.7752}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 23, "image": "uav20221018_ixfZ_3857_391_png.rf.363cfc1a99bee6043b1535d35e5cf8f5.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [5, 243, 47, 286], \"label\": \"banana tree\"},\n {\"box_2d\": [32, 300, 77, 336], \"label\": \"banana tree\"},\n {\"box_2d\": [71, 245, 111, 278], \"label\": \"banana tree\"},\n {\"box_2d\": [0, 548, 22, 581], \"label\": \"banana tree\"},\n {\"box_2d\": [22, 502, 59, 537], \"label\": \"banana tree\"},\n {\"box_2d\": [60, 553, 98, 585], \"label\": \"banana tree\"},\n {\"box_2d\": [128, 554, 169, 593], \"label\": \"banana tree\"},\n {\"box_2d\": [152, 494, 204, 539], \"label\": \"banana tree\"},\n {\"box_2d\": [193, 540, 243, 586], \"label\": \"banana tree\"},\n {\"box_2d\": [223, 491, 272, 535], \"label\": \"banana tree\"},\n {\"box_2d\": [269, 548, 311, 583], \"label\": \"banana tree\"},\n {\"box_2d\": [298, 498, 344, 536], \"label\": \"banana tree\"},\n {\"box_2d\": [333, 549, 376, 593], \"label\": \"banana tree\"},\n {\"box_2d\": [368, 493, 416, 544], \"label\": \"banana tree\"},\n {\"box_2d\": [406, 548, 452, 588], \"label\": \"banana tree\"},\n {\"box_2d\": [437, 498, 480, 534], \"label\": \"banana tree\"},\n {\"box_2d\": [0, 730, 32, 772], \"label\": \"banana tree\"},\n {\"box_2d\": [18, 792, 65, 832], \"label\": \"banana tree\"},\n {\"box_2d\": [59, 725, 102, 770], \"label\": \"banana tree\"},\n {\"box_2d\": [94, 794, 138, 829], \"label\": \"banana tree\"},\n {\"box_2d\": [126, 731, 174, 772], \"label\": \"banana tree\"},\n {\"box_2d\": [156, 788, 206, 828], \"label\": \"banana tree\"},\n {\"box_2d\": [198, 736, 236, 773], \"label\": \"banana tree\"},\n {\"box_2d\": [230, 797, 276, 831], \"label\": \"banana tree\"},\n {\"box_2d\": [265, 733, 309, 772], \"label\": \"banana tree\"},\n {\"box_2d\": [301, 795, 344, 832], \"label\": \"banana tree\"},\n {\"box_2d\": [337, 732, 381, 775], \"label\": \"banana tree\"},\n {\"box_2d\": [369, 791, 417, 830], \"label\": \"banana tree\"},\n {\"box_2d\": [403, 738, 450, 779], \"label\": \"banana tree\"},\n {\"box_2d\": [433, 795, 484, 840], \"label\": \"banana tree\"},\n {\"box_2d\": [475, 739, 521, 779], \"label\": \"banana tree\"},\n {\"box_2d\": [502, 799, 552, 830], \"label\": \"banana tree\"},\n {\"box_2d\": [543, 742, 587, 787], \"label\": \"banana tree\"},\n {\"box_2d\": [578, 793, 628, 840], \"label\": \"banana tree\"},\n {\"box_2d\": [610, 742, 655, 787], \"label\": \"banana tree\"},\n {\"box_2d\": [645, 794, 691, 841], \"label\": \"banana tree\"},\n {\"box_2d\": [672, 734, 727, 790], \"label\": \"banana tree\"},\n {\"box_2d\": [710, 798, 761, 844], \"label\": \"banana tree\"},\n {\"box_2d\": [751, 748, 791, 785], \"label\": \"banana tree\"},\n {\"box_2d\": [754, 791, 811, 837], \"label\": \"banana tree\"},\n {\"box_2d\": [29, 976, 68, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [100, 978, 139, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [168, 979, 211, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [238, 981, 279, 1000], \"label\": \"banana tree\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 3987, "elapsed_seconds": 31.550011499901302, "metadata": {"match_method": "map", "num_predictions": 44, "num_ground_truth": 43, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.958317220211029, "attempts": 1, "retries": 0, "total_seconds": 31.6192}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 24, "image": "fabric-defect_511_jpg.rf.c9746a1a958e01686335a4e0e7bec57c.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [417, 400, 570, 488], \"label\": \"fabric cut\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 379, "elapsed_seconds": 6.376997874933295, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 6.392}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 25, "image": "z4517190691608_e13e5a7742dfd1e1497d7f34e43b9a19_jpg.rf.53f3adf34b3bcf75125b6512855911b0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [92, 326, 193, 478], \"label\": \"5 poker chip\"},\n {\"box_2d\": [128, 485, 233, 641], \"label\": \"5 poker chip\"},\n {\"box_2d\": [187, 349, 294, 506], \"label\": \"5 poker chip\"},\n {\"box_2d\": [194, 168, 302, 326], \"label\": \"5 poker chip\"},\n {\"box_2d\": [244, 480, 355, 641], \"label\": \"10 poker chip\"},\n {\"box_2d\": [526, 309, 660, 485], \"label\": \"10 poker chip\"},\n {\"box_2d\": [190, 648, 298, 809], \"label\": \"20 poker chip\"},\n {\"box_2d\": [349, 516, 468, 684], \"label\": \"20 poker chip\"},\n {\"box_2d\": [372, 353, 490, 519], \"label\": \"20 poker chip\"},\n {\"box_2d\": [460, 459, 586, 632], \"label\": \"20 poker chip\"},\n {\"box_2d\": [584, 482, 725, 665], \"label\": \"20 poker chip\"},\n {\"box_2d\": [663, 294, 809, 479], \"label\": \"20 poker chip\"},\n {\"box_2d\": [298, 670, 415, 841], \"label\": \"50 poker chip\"},\n {\"box_2d\": [591, 149, 730, 329], \"label\": \"50 poker chip\"},\n {\"box_2d\": [733, 453, 888, 646], \"label\": \"50 poker chip\"},\n {\"box_2d\": [757, 655, 916, 853], \"label\": \"50 poker chip\"},\n {\"box_2d\": [346, 111, 464, 277], \"label\": \"100 poker chip\"},\n {\"box_2d\": [432, 206, 557, 377], \"label\": \"100 poker chip\"},\n {\"box_2d\": [279, 273, 391, 434], \"label\": \"500 poker chip\"},\n {\"box_2d\": [614, 717, 758, 907], \"label\": \"500 poker chip\"},\n {\"box_2d\": [494, 635, 628, 818], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [429, 822, 559, 1000], \"label\": \"5000 poker chip\"}\n]\n```", "correct": true, "input_tokens": 1251, "output_tokens": 1595, "elapsed_seconds": 16.537143083056435, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 16.7317}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 26, "image": "floorplan-windows-doors_10156_png.rf.46b4865a81b54b57dfa53b894c0a0632.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [209, 297, 323, 358], \"label\": \"door\"},\n {\"box_2d\": [253, 239, 272, 297], \"label\": \"window\"},\n {\"box_2d\": [254, 369, 274, 470], \"label\": \"window\"},\n {\"box_2d\": [253, 646, 273, 747], \"label\": \"window\"},\n {\"box_2d\": [254, 815, 275, 860], \"label\": \"window\"},\n {\"box_2d\": [384, 806, 432, 854], \"label\": \"door\"},\n {\"box_2d\": [450, 741, 508, 803], \"label\": \"door\"},\n {\"box_2d\": [529, 751, 577, 803], \"label\": \"door\"},\n {\"box_2d\": [624, 741, 682, 801], \"label\": \"door\"},\n {\"box_2d\": [695, 236, 742, 282], \"label\": \"door\"},\n {\"box_2d\": [734, 296, 795, 359], \"label\": \"door\"},\n {\"box_2d\": [820, 297, 885, 358], \"label\": \"door\"},\n {\"box_2d\": [911, 268, 970, 329], \"label\": \"door\"},\n {\"box_2d\": [819, 390, 839, 490], \"label\": \"window\"},\n {\"box_2d\": [819, 648, 839, 749], \"label\": \"window\"},\n {\"box_2d\": [820, 782, 840, 840], \"label\": \"window\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 2048, "elapsed_seconds": 18.896658333018422, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 17, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9504950642585754, "attempts": 1, "retries": 0, "total_seconds": 18.9504}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 27, "image": "fabric-defect_323_jpg.rf.371f41f855eb62c4f2068f1bac0ca297.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 356, 1000, 920], \"label\": \"fabric cut\"}\n]\n```", "correct": false, "input_tokens": 1226, "output_tokens": 2745, "elapsed_seconds": 38.35585012496449, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 2, "retries": 1, "total_seconds": 101.1235, "transient_errors": ["RemoteProtocolError"]}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 28, "image": "54_png.rf.e797ccd3ab1732fcc95dc8f12eac1e73.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [197, 78, 303, 136], \"label\": \"not gate symbol\"},\n {\"box_2d\": [197, 179, 303, 237], \"label\": \"not gate symbol\"},\n {\"box_2d\": [197, 279, 303, 336], \"label\": \"not gate symbol\"},\n {\"box_2d\": [197, 379, 303, 437], \"label\": \"not gate symbol\"},\n {\"box_2d\": [311, 513, 432, 613], \"label\": \"and gate symbol\"},\n {\"box_2d\": [453, 513, 574, 613], \"label\": \"and gate symbol\"},\n {\"box_2d\": [595, 513, 716, 613], \"label\": \"and gate symbol\"},\n {\"box_2d\": [736, 513, 858, 613], \"label\": \"and gate symbol\"},\n {\"box_2d\": [382, 659, 503, 759], \"label\": \"or gate symbol\"},\n {\"box_2d\": [666, 659, 787, 759], \"label\": \"or gate symbol\"},\n {\"box_2d\": [523, 806, 645, 906], \"label\": \"and gate symbol\"}\n]\n```", "correct": true, "input_tokens": 1212, "output_tokens": 1293, "elapsed_seconds": 11.596259291982278, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 11.6015}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 29, "image": "IMG_3802_JPG.rf.a7e888d2c6d99ef929355eb2fffb322e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [474, 378, 507, 396], \"label\": \"face\"},\n {\"box_2d\": [479, 436, 512, 452], \"label\": \"face\"},\n {\"box_2d\": [437, 524, 468, 540], \"label\": \"face\"},\n {\"box_2d\": [302, 338, 326, 350], \"label\": \"face\"},\n {\"box_2d\": [311, 360, 333, 372], \"label\": \"face\"},\n {\"box_2d\": [231, 414, 250, 424], \"label\": \"face\"},\n {\"box_2d\": [237, 439, 256, 449], \"label\": \"face\"},\n {\"box_2d\": [250, 498, 270, 508], \"label\": \"face\"},\n {\"box_2d\": [252, 430, 274, 441], \"label\": \"face\"},\n {\"box_2d\": [196, 248, 222, 261], \"label\": \"face\"},\n {\"box_2d\": [191, 227, 217, 238], \"label\": \"face\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 1743, "elapsed_seconds": 17.723491625045426, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7227723002433777, "attempts": 1, "retries": 0, "total_seconds": 18.0423}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 30, "image": "DJI_20230529112019_0221_T_JPG_jpg.rf.8e72d3393da7d92494fccfb7bb75bfc8.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [70, 159, 91, 176], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [78, 200, 99, 216], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [87, 242, 104, 256], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [166, 664, 186, 679], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [174, 705, 193, 719], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [183, 746, 200, 759], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [104, 838, 123, 852], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [112, 876, 134, 892], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [209, 866, 227, 880], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [521, 656, 542, 672], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [529, 698, 548, 712], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [536, 739, 556, 753], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [545, 780, 564, 793], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [552, 821, 570, 834], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [850, 498, 866, 511], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [856, 537, 875, 551], \"label\": \"solar panel hot spot\"}\n]\n```", "correct": true, "input_tokens": 1228, "output_tokens": 1967, "elapsed_seconds": 20.54750495904591, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 17, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9405940771102905, "attempts": 1, "retries": 0, "total_seconds": 20.5671}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 31, "image": "Atlantic_2025_NCPT-189_JPG_jpg.rf.7a382ad19f3061fc65305d93b2678aef.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [128, 251, 217, 286], \"label\": \"potato\"},\n {\"box_2d\": [12, 300, 77, 326], \"label\": \"potato\"},\n {\"box_2d\": [118, 296, 183, 322], \"label\": \"potato\"},\n {\"box_2d\": [350, 285, 448, 329], \"label\": \"potato\"},\n {\"box_2d\": [446, 289, 533, 325], \"label\": \"potato\"},\n {\"box_2d\": [546, 284, 650, 329], \"label\": \"potato\"},\n {\"box_2d\": [654, 289, 722, 316], \"label\": \"potato\"},\n {\"box_2d\": [721, 282, 833, 322], \"label\": \"potato\"},\n {\"box_2d\": [833, 288, 898, 315], \"label\": \"potato\"},\n {\"box_2d\": [9, 339, 95, 370], \"label\": \"potato\"},\n {\"box_2d\": [134, 336, 218, 370], \"label\": \"potato\"},\n {\"box_2d\": [216, 340, 281, 366], \"label\": \"potato\"},\n {\"box_2d\": [342, 336, 438, 370], \"label\": \"potato\"},\n {\"box_2d\": [436, 338, 502, 365], \"label\": \"potato\"},\n {\"box_2d\": [501, 328, 608, 372], \"label\": \"potato\"},\n {\"box_2d\": [616, 333, 687, 362], \"label\": \"potato\"},\n {\"box_2d\": [689, 336, 761, 363], \"label\": \"potato\"},\n {\"box_2d\": [775, 330, 864, 368], \"label\": \"potato\"},\n {\"box_2d\": [19, 384, 108, 417], \"label\": \"potato\"},\n {\"box_2d\": [159, 383, 234, 416], \"label\": \"potato\"},\n {\"box_2d\": [231, 383, 290, 409], \"label\": \"potato\"},\n {\"box_2d\": [285, 374, 391, 413], \"label\": \"potato\"},\n {\"box_2d\": [398, 381, 483, 415], \"label\": \"potato\"},\n {\"box_2d\": [477, 375, 569, 411], \"label\": \"potato\"},\n {\"box_2d\": [582, 373, 669, 412], \"label\": \"potato\"},\n {\"box_2d\": [757, 373, 843, 409], \"label\": \"potato\"},\n {\"box_2d\": [8, 426, 86, 459], \"label\": \"potato\"},\n {\"box_2d\": [100, 420, 200, 459], \"label\": \"potato\"},\n {\"box_2d\": [216, 408, 323, 459], \"label\": \"potato\"},\n {\"box_2d\": [318, 426, 384, 455], \"label\": \"potato\"},\n {\"box_2d\": [398, 413, 511, 458], \"label\": \"potato\"},\n {\"box_2d\": [581, 415, 687, 455], \"label\": \"potato\"},\n {\"box_2d\": [750, 419, 829, 448], \"label\": \"potato\"},\n {\"box_2d\": [918, 418, 999, 454], \"label\": \"potato\"},\n {\"box_2d\": [6, 472, 83, 504], \"label\": \"potato\"},\n {\"box_2d\": [81, 471, 155, 502], \"label\": \"potato\"},\n {\"box_2d\": [154, 466, 268, 509], \"label\": \"potato\"},\n {\"box_2d\": [266, 464, 367, 506], \"label\": \"potato\"},\n {\"box_2d\": [365, 463, 452, 502], \"label\": \"potato\"},\n {\"box_2d\": [458, 466, 545, 497], \"label\": \"potato\"},\n {\"box_2d\": [584, 463, 680, 499], \"label\": \"potato\"},\n {\"box_2d\": [692, 467, 754, 492], \"label\": \"potato\"},\n {\"box_2d\": [843, 462, 926, 494], \"label\": \"potato\"},\n {\"box_2d\": [6, 517, 74, 546], \"label\": \"potato\"},\n {\"box_2d\": [71, 511, 147, 546], \"label\": \"potato\"},\n {\"box_2d\": [145, 513, 244, 546], \"label\": \"potato\"},\n {\"box_2d\": [254, 511, 361, 552], \"label\": \"potato\"},\n {\"box_2d\": [357, 511, 446, 546], \"label\": \"potato\"},\n {\"box_2d\": [470, 500, 577, 545], \"label\": \"potato\"},\n {\"box_2d\": [576, 508, 682, 551], \"label\": \"potato\"},\n {\"box_2d\": [866, 506, 951, 538], \"label\": \"potato\"},\n {\"box_2d\": [196, 552, 291, 592], \"label\": \"potato\"},\n {\"box_2d\": [289, 558, 367, 590], \"label\": \"potato\"},\n {\"box_2d\": [369, 550, 485, 605], \"label\": \"potato\"},\n {\"box_2d\": [481, 552, 570, 588], \"label\": \"potato\"},\n {\"box_2d\": [663, 552, 771, 593], \"label\": \"potato\"},\n {\"box_2d\": [6, 606, 82, 634], \"label\": \"potato\"},\n {\"box_2d\": [116, 598, 219, 639], \"label\": \"potato\"},\n {\"box_2d\": [375, 601, 472, 639], \"label\": \"potato\"},\n {\"box_2d\": [506, 596, 615, 636], \"label\": \"potato\"},\n {\"box_2d\": [735, 591, 837, 627], \"label\": \"potato\"},\n {\"box_2d\": [145, 639, 249, 682], \"label\": \"potato\"},\n {\"box_2d\": [266, 646, 335, 674], \"label\": \"potato\"},\n {\"box_2d\": [479, 635, 600, 677], \"label\": \"potato\"},\n {\"box_2d\": [97, 685, 177, 721], \"label\": \"potato\"},\n {\"box_2d\": [210, 688, 317, 726], \"label\": \"potato\"},\n {\"box_2d\": [317, 680, 431, 726], \"label\": \"potato\"},\n {\"box_2d\": [687, 680, 795, 717], \"label\": \"potato\"},\n {\"box_2d\": [23, 728, 118, 770], \"label\": \"potato\"},\n {\"box_2d\": [122, 734, 184, 761], \"label\": \"potato\"},\n {\"box_2d\": [302, 731, 384, 763], \"label\": \"potato\"},\n {\"box_2d\": [442, 724, 536, 763], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 5078, "elapsed_seconds": 51.56020066596102, "metadata": {"match_method": "map", "num_predictions": 72, "num_ground_truth": 72, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 52.0189}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 32, "image": "V000078_0_0_jpeg_jpg.rf.ea93b54e17810ab845506f60bf69b7dd.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [163, 343, 212, 443], \"label\": \"surface roughness symbol\"},\n {\"box_2d\": [266, 170, 322, 234], \"label\": \"dimension annotation\"},\n {\"box_2d\": [274, 236, 322, 435], \"label\": \"dimension annotation\"},\n {\"box_2d\": [289, 432, 322, 483], \"label\": \"dimension annotation\"},\n {\"box_2d\": [289, 490, 322, 565], \"label\": \"dimension annotation\"},\n {\"box_2d\": [266, 170, 370, 483], \"label\": \"dimension annotation\"},\n {\"box_2d\": [338, 480, 370, 551], \"label\": \"dimension annotation\"},\n {\"box_2d\": [124, 643, 330, 895], \"label\": \"dimension annotation\"},\n {\"box_2d\": [153, 696, 308, 929], \"label\": \"dimension annotation\"},\n {\"box_2d\": [292, 693, 381, 821], \"label\": \"dimension annotation\"},\n {\"box_2d\": [442, 136, 491, 224], \"label\": \"dimension annotation\"},\n {\"box_2d\": [442, 205, 486, 303], \"label\": \"dimension annotation\"},\n {\"box_2d\": [441, 497, 466, 601], \"label\": \"dimension annotation\"},\n {\"box_2d\": [493, 126, 531, 170], \"label\": \"dimension annotation\"},\n {\"box_2d\": [499, 184, 585, 217], \"label\": \"dimension annotation\"},\n {\"box_2d\": [476, 298, 577, 338], \"label\": \"dimension annotation\"},\n {\"box_2d\": [468, 565, 556, 628], \"label\": \"dimension annotation\"},\n {\"box_2d\": [800, 94, 967, 954], \"label\": \"technical drawing table\"}\n]\n```", "correct": false, "input_tokens": 1237, "output_tokens": 2244, "elapsed_seconds": 19.944667916977778, "metadata": {"match_method": "map", "num_predictions": 18, "num_ground_truth": 18, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.666666567325592, "attempts": 1, "retries": 0, "total_seconds": 19.9552}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 33, "image": "1226_8_jpg.rf.ca0a21572938b5c31e601cfcbf119e1e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [17, 19, 118, 117], \"label\": \"black rook\"},\n {\"box_2d\": [0, 139, 95, 245], \"label\": \"black knight\"},\n {\"box_2d\": [37, 265, 134, 355], \"label\": \"black bishop\"},\n {\"box_2d\": [9, 402, 128, 491], \"label\": \"black king\"},\n {\"box_2d\": [8, 531, 126, 622], \"label\": \"black queen\"},\n {\"box_2d\": [16, 899, 116, 999], \"label\": \"black rook\"},\n {\"box_2d\": [140, 44, 214, 120], \"label\": \"black pawn\"},\n {\"box_2d\": [162, 651, 234, 725], \"label\": \"black pawn\"},\n {\"box_2d\": [168, 764, 241, 840], \"label\": \"black pawn\"},\n {\"box_2d\": [176, 913, 250, 997], \"label\": \"black pawn\"},\n {\"box_2d\": [280, 287, 352, 359], \"label\": \"black pawn\"},\n {\"box_2d\": [285, 398, 374, 488], \"label\": \"black bishop\"},\n {\"box_2d\": [425, 537, 496, 608], \"label\": \"black pawn\"},\n {\"box_2d\": [411, 894, 491, 1000], \"label\": \"black knight\"},\n {\"box_2d\": [523, 294, 594, 365], \"label\": \"white pawn\"},\n {\"box_2d\": [551, 759, 623, 835], \"label\": \"white pawn\"},\n {\"box_2d\": [642, 400, 714, 471], \"label\": \"white pawn\"},\n {\"box_2d\": [629, 640, 711, 745], \"label\": \"white knight\"},\n {\"box_2d\": [758, 56, 830, 134], \"label\": \"white pawn\"},\n {\"box_2d\": [768, 170, 841, 244], \"label\": \"white pawn\"},\n {\"box_2d\": [787, 641, 862, 714], \"label\": \"white pawn\"},\n {\"box_2d\": [773, 891, 847, 973], \"label\": \"white pawn\"},\n {\"box_2d\": [869, 39, 969, 135], \"label\": \"white rook\"},\n {\"box_2d\": [866, 132, 959, 241], \"label\": \"white knight\"},\n {\"box_2d\": [872, 281, 973, 373], \"label\": \"white bishop\"},\n {\"box_2d\": [865, 407, 989, 499], \"label\": \"white king\"},\n {\"box_2d\": [865, 532, 989, 622], \"label\": \"white queen\"},\n {\"box_2d\": [869, 653, 973, 747], \"label\": \"white bishop\"},\n {\"box_2d\": [878, 886, 979, 991], \"label\": \"white rook\"}\n]\n```", "correct": true, "input_tokens": 1259, "output_tokens": 2884, "elapsed_seconds": 32.906506125000305, "metadata": {"match_method": "map", "num_predictions": 29, "num_ground_truth": 29, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 33.1131}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 34, "image": "1218_18_jpg.rf.8c844a918f3bbbea9bc4a4e8bb703b7d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [32, 521, 131, 610], \"label\": \"black bishop\"},\n {\"box_2d\": [136, 7, 224, 105], \"label\": \"white rook\"},\n {\"box_2d\": [252, 255, 342, 348], \"label\": \"black knight\"},\n {\"box_2d\": [259, 631, 352, 718], \"label\": \"white knight\"},\n {\"box_2d\": [264, 875, 360, 1000], \"label\": \"white queen\"},\n {\"box_2d\": [378, 3, 464, 120], \"label\": \"black queen\"},\n {\"box_2d\": [508, 0, 600, 120], \"label\": \"white king\"},\n {\"box_2d\": [516, 279, 603, 369], \"label\": \"white bishop\"},\n {\"box_2d\": [518, 523, 606, 612], \"label\": \"black king\"},\n {\"box_2d\": [537, 764, 607, 839], \"label\": \"white pawn\"},\n {\"box_2d\": [626, 389, 708, 480], \"label\": \"black knight\"},\n {\"box_2d\": [638, 521, 719, 603], \"label\": \"white rook\"},\n {\"box_2d\": [641, 882, 722, 994], \"label\": \"white knight\"},\n {\"box_2d\": [746, 139, 850, 245], \"label\": \"white queen\"},\n {\"box_2d\": [772, 642, 845, 715], \"label\": \"black pawn\"},\n {\"box_2d\": [765, 768, 854, 860], \"label\": \"black rook\"},\n {\"box_2d\": [891, 405, 969, 480], \"label\": \"white pawn\"},\n {\"box_2d\": [880, 761, 1000, 871], \"label\": \"black queen\"}\n]\n```", "correct": true, "input_tokens": 1259, "output_tokens": 1817, "elapsed_seconds": 17.397009167005308, "metadata": {"match_method": "map", "num_predictions": 18, "num_ground_truth": 18, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 17.5882}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 35, "image": "42ba34_3_4_png_jpg.rf.963d6715a391a3a2fee3176cace44325.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [375, 0, 419, 12], \"label\": \"goalkeeper\"},\n {\"box_2d\": [682, 151, 740, 170], \"label\": \"player\"},\n {\"box_2d\": [580, 234, 636, 249], \"label\": \"player\"},\n {\"box_2d\": [519, 281, 571, 294], \"label\": \"player\"},\n {\"box_2d\": [490, 265, 545, 275], \"label\": \"player\"},\n {\"box_2d\": [352, 250, 392, 260], \"label\": \"player\"},\n {\"box_2d\": [354, 257, 394, 267], \"label\": \"player\"},\n {\"box_2d\": [304, 281, 337, 290], \"label\": \"player\"},\n {\"box_2d\": [295, 317, 329, 326], \"label\": \"player\"},\n {\"box_2d\": [403, 350, 448, 360], \"label\": \"referee\"},\n {\"box_2d\": [278, 405, 315, 414], \"label\": \"player\"},\n {\"box_2d\": [356, 434, 397, 444], \"label\": \"player\"},\n {\"box_2d\": [335, 463, 371, 474], \"label\": \"player\"},\n {\"box_2d\": [247, 491, 277, 498], \"label\": \"player\"},\n {\"box_2d\": [355, 586, 395, 595], \"label\": \"player\"},\n {\"box_2d\": [487, 563, 536, 576], \"label\": \"player\"},\n {\"box_2d\": [542, 583, 597, 596], \"label\": \"player\"},\n {\"box_2d\": [530, 606, 581, 619], \"label\": \"player\"},\n {\"box_2d\": [468, 675, 519, 688], \"label\": \"player\"},\n {\"box_2d\": [294, 689, 333, 699], \"label\": \"player\"},\n {\"box_2d\": [454, 722, 502, 735], \"label\": \"player\"},\n {\"box_2d\": [424, 804, 471, 815], \"label\": \"player\"},\n {\"box_2d\": [352, 913, 390, 926], \"label\": \"goalkeeper\"},\n {\"box_2d\": [640, 956, 696, 978], \"label\": \"referee\"}\n]\n```", "correct": false, "input_tokens": 1242, "output_tokens": 3226, "elapsed_seconds": 27.661577124963515, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6658415794372559, "attempts": 1, "retries": 0, "total_seconds": 27.7534}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 36, "image": "170567v_JPG_jpg.rf.b4ec6b9d23ca24e31da874cd6f035dfa.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [445, 272, 783, 853], \"label\": \"cracked insulator\"}\n]\n```", "correct": false, "input_tokens": 1244, "output_tokens": 3772, "elapsed_seconds": 53.48148741701152, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 6, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 2, "retries": 1, "total_seconds": 120.1612, "transient_errors": ["RemoteProtocolError"]}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 37, "image": "wood-log-detection_092_png_jpg.rf.b7bfbb1ba7a477ea02f5974fce28583e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [38, 336, 94, 386], \"label\": \"log cross-section\"},\n {\"box_2d\": [72, 530, 144, 586], \"label\": \"log cross-section\"},\n {\"box_2d\": [84, 623, 128, 658], \"label\": \"log cross-section\"},\n {\"box_2d\": [91, 495, 142, 533], \"label\": \"log cross-section\"},\n {\"box_2d\": [94, 383, 139, 422], \"label\": \"log cross-section\"},\n {\"box_2d\": [97, 319, 144, 356], \"label\": \"log cross-section\"},\n {\"box_2d\": [102, 466, 147, 498], \"label\": \"log cross-section\"},\n {\"box_2d\": [111, 280, 156, 320], \"label\": \"log cross-section\"},\n {\"box_2d\": [114, 584, 166, 622], \"label\": \"log cross-section\"},\n {\"box_2d\": [116, 647, 169, 686], \"label\": \"log cross-section\"},\n {\"box_2d\": [125, 214, 173, 255], \"label\": \"log cross-section\"},\n {\"box_2d\": [139, 497, 189, 538], \"label\": \"log cross-section\"},\n {\"box_2d\": [139, 678, 223, 742], \"label\": \"log cross-section\"},\n {\"box_2d\": [141, 317, 181, 348], \"label\": \"log cross-section\"},\n {\"box_2d\": [142, 350, 211, 402], \"label\": \"log cross-section\"},\n {\"box_2d\": [152, 434, 211, 477], \"label\": \"log cross-section\"},\n {\"box_2d\": [152, 531, 216, 583], \"label\": \"log cross-section\"},\n {\"box_2d\": [156, 259, 234, 317], \"label\": \"log cross-section\"},\n {\"box_2d\": [162, 742, 203, 775], \"label\": \"log cross-section\"},\n {\"box_2d\": [162, 780, 206, 811], \"label\": \"log cross-section\"},\n {\"box_2d\": [164, 630, 227, 680], \"label\": \"log cross-section\"},\n {\"box_2d\": [164, 806, 227, 850], \"label\": \"log cross-section\"},\n {\"box_2d\": [173, 583, 220, 620], \"label\": \"log cross-section\"},\n {\"box_2d\": [178, 406, 212, 433], \"label\": \"log cross-section\"},\n {\"box_2d\": [181, 469, 222, 498], \"label\": \"log cross-section\"},\n {\"box_2d\": [184, 495, 234, 534], \"label\": \"log cross-section\"},\n {\"box_2d\": [198, 736, 256, 783], \"label\": \"log cross-section\"},\n {\"box_2d\": [211, 520, 256, 552], \"label\": \"log cross-section\"},\n {\"box_2d\": [212, 312, 273, 362], \"label\": \"log cross-section\"},\n {\"box_2d\": [212, 556, 273, 605], \"label\": \"log cross-section\"},\n {\"box_2d\": [214, 400, 252, 427], \"label\": \"log cross-section\"},\n {\"box_2d\": [222, 603, 281, 645], \"label\": \"log cross-section\"},\n {\"box_2d\": [222, 822, 270, 861], \"label\": \"log cross-section\"},\n {\"box_2d\": [228, 359, 286, 408], \"label\": \"log cross-section\"},\n {\"box_2d\": [228, 420, 278, 453], \"label\": \"log cross-section\"},\n {\"box_2d\": [231, 450, 283, 491], \"label\": \"log cross-section\"},\n {\"box_2d\": [233, 258, 300, 311], \"label\": \"log cross-section\"},\n {\"box_2d\": [233, 489, 272, 520], \"label\": \"log cross-section\"},\n {\"box_2d\": [245, 639, 312, 694], \"label\": \"log cross-section\"},\n {\"box_2d\": [256, 769, 303, 817], \"label\": \"log cross-section\"},\n {\"box_2d\": [259, 522, 302, 553], \"label\": \"log cross-section\"},\n {\"box_2d\": [269, 570, 334, 623], \"label\": \"log cross-section\"},\n {\"box_2d\": [270, 489, 320, 528], \"label\": \"log cross-section\"},\n {\"box_2d\": [272, 314, 345, 378], \"label\": \"log cross-section\"},\n {\"box_2d\": [275, 395, 322, 431], \"label\": \"log cross-section\"},\n {\"box_2d\": [275, 430, 334, 472], \"label\": \"log cross-section\"},\n {\"box_2d\": [297, 788, 356, 838], \"label\": \"log cross-section\"},\n {\"box_2d\": [300, 262, 347, 303], \"label\": \"log cross-section\"},\n {\"box_2d\": [308, 541, 356, 575], \"label\": \"log cross-section\"},\n {\"box_2d\": [309, 623, 358, 658], \"label\": \"log cross-section\"},\n {\"box_2d\": [309, 680, 380, 733], \"label\": \"log cross-section\"},\n {\"box_2d\": [311, 655, 345, 683], \"label\": \"log cross-section\"},\n {\"box_2d\": [319, 509, 366, 545], \"label\": \"log cross-section\"},\n {\"box_2d\": [320, 459, 391, 512], \"label\": \"log cross-section\"},\n {\"box_2d\": [322, 731, 378, 773], \"label\": \"log cross-section\"},\n {\"box_2d\": [331, 386, 384, 423], \"label\": \"log cross-section\"},\n {\"box_2d\": [333, 422, 375, 453], \"label\": \"log cross-section\"},\n {\"box_2d\": [345, 305, 391, 344], \"label\": \"log cross-section\"},\n {\"box_2d\": [347, 264, 395, 306], \"label\": \"log cross-section\"},\n {\"box_2d\": [359, 764, 427, 822], \"label\": \"log cross-section\"},\n {\"box_2d\": [364, 352, 414, 389], \"label\": \"log cross-section\"},\n {\"box_2d\": [369, 716, 419, 755], \"label\": \"log cross-section\"},\n {\"box_2d\": [377, 430, 433, 475], \"label\": \"log cross-section\"},\n {\"box_2d\": [378, 681, 423, 720], \"label\": \"log cross-section\"},\n {\"box_2d\": [387, 522, 436, 559], \"label\": \"log cross-section\"},\n {\"box_2d\": [389, 475, 438, 514], \"label\": \"log cross-section\"},\n {\"box_2d\": [389, 638, 444, 684], \"label\": \"log cross-section\"},\n {\"box_2d\": [392, 556, 448, 602], \"label\": \"log cross-section\"},\n {\"box_2d\": [394, 308, 441, 352], \"label\": \"log cross-section\"},\n {\"box_2d\": [394, 380, 448, 419], \"label\": \"log cross-section\"},\n {\"box_2d\": [412, 350, 450, 381], \"label\": \"log cross-section\"},\n {\"box_2d\": [412, 602, 458, 639], \"label\": \"log cross-section\"},\n {\"box_2d\": [419, 691, 469, 736], \"label\": \"log cross-section\"},\n {\"box_2d\": [425, 447, 483, 492], \"label\": \"log cross-section\"},\n {\"box_2d\": [425, 494, 480, 538], \"label\": \"log cross-section\"},\n {\"box_2d\": [427, 272, 492, 323], \"label\": \"log cross-section\"},\n {\"box_2d\": [427, 408, 473, 445], \"label\": \"log cross-section\"},\n {\"box_2d\": [431, 772, 475, 811], \"label\": \"log cross-section\"},\n {\"box_2d\": [436, 633, 480, 667], \"label\": \"log cross-section\"},\n {\"box_2d\": [441, 725, 480, 758], \"label\": \"log cross-section\"},\n {\"box_2d\": [442, 544, 484, 577], \"label\": \"log cross-section\"},\n {\"box_2d\": [444, 367, 491, 406], \"label\": \"log cross-section\"},\n {\"box_2d\": [448, 575, 492, 608], \"label\": \"log cross-section\"},\n {\"box_2d\": [466, 605, 506, 641], \"label\": \"log cross-section\"},\n {\"box_2d\": [467, 744, 536, 798], \"label\": \"log cross-section\"},\n {\"box_2d\": [472, 405, 522, 442], \"label\": \"log cross-section\"},\n {\"box_2d\": [483, 448, 548, 502], \"label\": \"log cross-section\"},\n {\"box_2d\": [484, 666, 536, 708], \"label\": \"log cross-section\"},\n {\"box_2d\": [491, 578, 542, 622], \"label\": \"log cross-section\"},\n {\"box_2d\": [494, 267, 566, 323], \"label\": \"log cross-section\"},\n {\"box_2d\": [506, 370, 566, 419], \"label\": \"log cross-section\"},\n {\"box_2d\": [506, 628, 564, 675], \"label\": \"log cross-section\"},\n {\"box_2d\": [506, 709, 570, 766], \"label\": \"log cross-section\"},\n {\"box_2d\": [508, 322, 544, 353], \"label\": \"log cross-section\"},\n {\"box_2d\": [511, 503, 558, 538], \"label\": \"log cross-section\"},\n {\"box_2d\": [511, 536, 583, 586], \"label\": \"log cross-section\"},\n {\"box_2d\": [530, 419, 586, 458], \"label\": \"log cross-section\"},\n {\"box_2d\": [533, 775, 575, 816], \"label\": \"log cross-section\"},\n {\"box_2d\": [536, 333, 591, 381], \"label\": \"log cross-section\"},\n {\"box_2d\": [553, 261, 597, 298], \"label\": \"log cross-section\"},\n {\"box_2d\": [553, 448, 625, 503], \"label\": \"log cross-section\"},\n {\"box_2d\": [562, 641, 611, 694], \"label\": \"log cross-section\"},\n {\"box_2d\": [562, 697, 612, 738], \"label\": \"log cross-section\"},\n {\"box_2d\": [564, 506, 620, 552], \"label\": \"log cross-section\"},\n {\"box_2d\": [572, 567, 638, 622], \"label\": \"log cross-section\"},\n {\"box_2d\": [575, 777, 634, 833], \"label\": \"log cross-section\"},\n {\"box_2d\": [578, 369, 645, 422], \"label\": \"log cross-section\"},\n {\"box_2d\": [578, 730, 639, 781], \"label\": \"log cross-section\"},\n {\"box_2d\": [586, 322, 645, 369], \"label\": \"log cross-section\"},\n {\"box_2d\": [591, 273, 655, 323], \"label\": \"log cross-section\"},\n {\"box_2d\": [606, 533, 658, 575], \"label\": \"log cross-section\"},\n {\"box_2d\": [608, 617, 669, 666], \"label\": \"log cross-section\"},\n {\"box_2d\": [609, 483, 648, 517], \"label\": \"log cross-section\"},\n {\"box_2d\": [612, 428, 653, 461], \"label\": \"log cross-section\"},\n {\"box_2d\": [628, 741, 706, 806], \"label\": \"log cross-section\"},\n {\"box_2d\": [633, 691, 692, 741], \"label\": \"log cross-section\"},\n {\"box_2d\": [641, 361, 698, 406], \"label\": \"log cross-section\"},\n {\"box_2d\": [644, 306, 705, 355], \"label\": \"log cross-section\"},\n {\"box_2d\": [644, 444, 697, 483], \"label\": \"log cross-section\"},\n {\"box_2d\": [648, 514, 702, 558], \"label\": \"log cross-section\"},\n {\"box_2d\": [650, 272, 686, 303], \"label\": \"log cross-section\"},\n {\"box_2d\": [653, 556, 697, 592], \"label\": \"log cross-section\"},\n {\"box_2d\": [662, 620, 709, 661], \"label\": \"log cross-section\"},\n {\"box_2d\": [673, 395, 727, 434], \"label\": \"log cross-section\"},\n {\"box_2d\": [675, 583, 728, 627], \"label\": \"log cross-section\"},\n {\"box_2d\": [681, 266, 750, 314], \"label\": \"log cross-section\"},\n {\"box_2d\": [681, 464, 766, 530], \"label\": \"log cross-section\"},\n {\"box_2d\": [688, 678, 730, 719], \"label\": \"log cross-section\"},\n {\"box_2d\": [689, 727, 739, 770], \"label\": \"log cross-section\"},\n {\"box_2d\": [695, 427, 745, 464], \"label\": \"log cross-section\"},\n {\"box_2d\": [695, 534, 762, 589], \"label\": \"log cross-section\"},\n {\"box_2d\": [697, 362, 758, 406], \"label\": \"log cross-section\"},\n {\"box_2d\": [708, 625, 756, 667], \"label\": \"log cross-section\"},\n {\"box_2d\": [714, 312, 778, 362], \"label\": \"log cross-section\"},\n {\"box_2d\": [716, 670, 762, 709], \"label\": \"log cross-section\"},\n {\"box_2d\": [733, 578, 825, 647], \"label\": \"log cross-section\"},\n {\"box_2d\": [742, 391, 803, 438], \"label\": \"log cross-section\"},\n {\"box_2d\": [742, 728, 814, 789], \"label\": \"log cross-section\"},\n {\"box_2d\": [752, 355, 789, 384], \"label\": \"log cross-section\"},\n {\"box_2d\": [752, 647, 809, 689], \"label\": \"log cross-section\"},\n {\"box_2d\": [752, 691, 798, 727], \"label\": \"log cross-section\"},\n {\"box_2d\": [762, 523, 812, 561], \"label\": \"log cross-section\"},\n {\"box_2d\": [764, 472, 830, 525], \"label\": \"log cross-section\"},\n {\"box_2d\": [772, 264, 839, 319], \"label\": \"log cross-section\"},\n {\"box_2d\": [773, 319, 825, 358], \"label\": \"log cross-section\"},\n {\"box_2d\": [784, 356, 844, 400], \"label\": \"log cross-section\"},\n {\"box_2d\": [802, 662, 869, 712], \"label\": \"log cross-section\"},\n {\"box_2d\": [806, 628, 870, 670], \"label\": \"log cross-section\"},\n {\"box_2d\": [809, 520, 856, 556], \"label\": \"log cross-section\"},\n {\"box_2d\": [823, 758, 883, 819], \"label\": \"log cross-section\"},\n {\"box_2d\": [830, 467, 911, 528], \"label\": \"log cross-section\"},\n {\"box_2d\": [831, 297, 908, 359], \"label\": \"log cross-section\"},\n {\"box_2d\": [833, 598, 891, 642], \"label\": \"log cross-section\"},\n {\"box_2d\": [838, 400, 898, 442], \"label\": \"log cross-section\"},\n {\"box_2d\": [844, 262, 894, 300], \"label\": \"log cross-section\"},\n {\"box_2d\": [847, 361, 906, 403], \"label\": \"log cross-section\"},\n {\"box_2d\": [850, 555, 912, 603], \"label\": \"log cross-section\"}\n]\n```", "correct": false, "input_tokens": 1228, "output_tokens": 9915, "elapsed_seconds": 56.64061683299951, "metadata": {"match_method": "map", "num_predictions": 157, "num_ground_truth": 206, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.4471287131309509, "attempts": 1, "retries": 0, "total_seconds": 56.6618}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 38, "image": "DJI_20230529111632_0087_T_JPG_jpg.rf.a0bcf6f9fb3a8158bd511491a1f333d9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [264, 844, 278, 856], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [262, 884, 278, 897], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [259, 927, 273, 938], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [258, 967, 270, 978], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [534, 594, 548, 605], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [523, 758, 538, 769], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [644, 475, 658, 486], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [630, 681, 644, 692], \"label\": \"solar panel hot spot\"}\n]\n```", "correct": false, "input_tokens": 1228, "output_tokens": 1574, "elapsed_seconds": 16.158907458069734, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 9, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7178217768669128, "attempts": 1, "retries": 0, "total_seconds": 16.1735}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 39, "image": "IMG_20260128_081648_jpg.rf.195a895d6fe7552e4b9d0fc4e44e0f46.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [625, 75, 723, 152], \"label\": \"white standard price tag\"},\n {\"box_2d\": [626, 149, 724, 227], \"label\": \"white standard price tag\"},\n {\"box_2d\": [625, 234, 726, 291], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [627, 290, 725, 369], \"label\": \"white standard price tag\"},\n {\"box_2d\": [629, 367, 726, 418], \"label\": \"white standard price tag\"},\n {\"box_2d\": [628, 417, 726, 491], \"label\": \"white standard price tag\"},\n {\"box_2d\": [628, 491, 726, 567], \"label\": \"white standard price tag\"},\n {\"box_2d\": [629, 567, 726, 640], \"label\": \"white standard price tag\"},\n {\"box_2d\": [617, 637, 950, 734], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [617, 714, 951, 804], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [633, 854, 728, 930], \"label\": \"white standard price tag\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 1730, "elapsed_seconds": 17.481542207999155, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 17.7824}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 40, "image": "m4_tire_2024-10-17_18_png_jpg.rf.b3da826931757f1612878ecf9680a260.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [94, 300, 179, 518], \"label\": \"tire size text\"},\n {\"box_2d\": [708, 217, 774, 267], \"label\": \"tire size text\"},\n {\"box_2d\": [884, 534, 954, 718], \"label\": \"tire size text\"}\n]\n```", "correct": false, "input_tokens": 1226, "output_tokens": 1793, "elapsed_seconds": 21.749252333072945, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5544553995132446, "attempts": 1, "retries": 0, "total_seconds": 22.0032}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 41, "image": "IMG_3864_JPG.rf.85dd012a4824e9d1050c085dd0a2e519.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [349, 225, 419, 336], \"label\": \"100 poker chip\"},\n {\"box_2d\": [361, 397, 430, 508], \"label\": \"500 poker chip\"},\n {\"box_2d\": [431, 286, 508, 404], \"label\": \"500 poker chip\"},\n {\"box_2d\": [466, 98, 545, 217], \"label\": \"500 poker chip\"},\n {\"box_2d\": [558, 39, 651, 168], \"label\": \"10000 poker chip\"},\n {\"box_2d\": [606, 130, 703, 263], \"label\": \"500 poker chip\"},\n {\"box_2d\": [522, 219, 608, 344], \"label\": \"500 poker chip\"},\n {\"box_2d\": [662, 239, 767, 381], \"label\": \"500 poker chip\"},\n {\"box_2d\": [575, 297, 669, 431], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [519, 400, 605, 525], \"label\": \"500 poker chip\"},\n {\"box_2d\": [428, 402, 505, 517], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [440, 513, 519, 633], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [404, 611, 479, 730], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [445, 706, 527, 833], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [425, 819, 505, 945], \"label\": \"100 poker chip\"},\n {\"box_2d\": [513, 777, 602, 913], \"label\": \"100 poker chip\"},\n {\"box_2d\": [516, 650, 603, 780], \"label\": \"500 poker chip\"},\n {\"box_2d\": [529, 526, 619, 655], \"label\": \"500 poker chip\"},\n {\"box_2d\": [600, 421, 697, 554], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [676, 495, 785, 640], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [674, 636, 785, 781], \"label\": \"500 poker chip\"},\n {\"box_2d\": [594, 706, 693, 847], \"label\": \"100 poker chip\"},\n {\"box_2d\": [685, 796, 797, 949], \"label\": \"1000 poker chip\"}\n]\n```", "correct": true, "input_tokens": 1229, "output_tokens": 2502, "elapsed_seconds": 27.570664042024873, "metadata": {"match_method": "map", "num_predictions": 23, "num_ground_truth": 24, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9702969789505005, "attempts": 1, "retries": 0, "total_seconds": 28.1152}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 42, "image": "1217_2_jpg.rf.e0a2a15bcd44d66668e689fd59ca61fe.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [24, 138, 128, 236], \"label\": \"white bishop\"},\n {\"box_2d\": [0, 399, 126, 491], \"label\": \"white queen\"},\n {\"box_2d\": [2, 509, 131, 601], \"label\": \"white king\"},\n {\"box_2d\": [1, 909, 85, 989], \"label\": \"black pawn\"},\n {\"box_2d\": [168, 16, 242, 97], \"label\": \"black pawn\"},\n {\"box_2d\": [149, 647, 223, 720], \"label\": \"white pawn\"},\n {\"box_2d\": [179, 766, 254, 839], \"label\": \"white pawn\"},\n {\"box_2d\": [285, 152, 357, 229], \"label\": \"white pawn\"},\n {\"box_2d\": [286, 386, 358, 456], \"label\": \"black pawn\"},\n {\"box_2d\": [274, 625, 363, 716], \"label\": \"white bishop\"},\n {\"box_2d\": [309, 869, 382, 949], \"label\": \"black pawn\"},\n {\"box_2d\": [410, 26, 482, 108], \"label\": \"white pawn\"},\n {\"box_2d\": [403, 297, 476, 372], \"label\": \"white pawn\"},\n {\"box_2d\": [384, 507, 475, 597], \"label\": \"black bishop\"},\n {\"box_2d\": [396, 639, 477, 731], \"label\": \"white knight\"},\n {\"box_2d\": [425, 769, 503, 871], \"label\": \"black knight\"},\n {\"box_2d\": [431, 902, 503, 981], \"label\": \"white pawn\"},\n {\"box_2d\": [545, 0, 626, 114], \"label\": \"black knight\"},\n {\"box_2d\": [512, 123, 599, 232], \"label\": \"black queen\"},\n {\"box_2d\": [524, 276, 597, 348], \"label\": \"black pawn\"},\n {\"box_2d\": [517, 398, 597, 480], \"label\": \"white rook\"},\n {\"box_2d\": [558, 608, 631, 681], \"label\": \"white pawn\"},\n {\"box_2d\": [647, 630, 740, 722], \"label\": \"white queen\"},\n {\"box_2d\": [649, 877, 721, 956], \"label\": \"white pawn\"},\n {\"box_2d\": [761, 17, 845, 117], \"label\": \"white rook\"},\n {\"box_2d\": [765, 162, 855, 253], \"label\": \"black bishop\"},\n {\"box_2d\": [781, 397, 854, 469], \"label\": \"black pawn\"},\n {\"box_2d\": [747, 747, 855, 855], \"label\": \"black king\"},\n {\"box_2d\": [899, 0, 998, 114], \"label\": \"white knight\"},\n {\"box_2d\": [881, 399, 974, 480], \"label\": \"black rook\"},\n {\"box_2d\": [898, 642, 994, 723], \"label\": \"black rook\"},\n {\"box_2d\": [886, 882, 1000, 1000], \"label\": \"black queen\"}\n]\n```", "correct": true, "input_tokens": 1259, "output_tokens": 2938, "elapsed_seconds": 26.5929976250045, "metadata": {"match_method": "map", "num_predictions": 32, "num_ground_truth": 32, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 26.7928}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 43, "image": "fabric-defect_904_jpg.rf.1cf391ad7827c3f000e3c8ea35472e5d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [399, 455, 512, 533], \"label\": \"fabric cut\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 282, "elapsed_seconds": 4.871769666089676, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 4.8902}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 44, "image": "20210325_204058_jpg.rf.29e7808c087a71e473dd9c19badaff2c.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [148, 431, 366, 647], \"label\": \"50 euro cent coin\"},\n {\"box_2d\": [256, 62, 444, 250], \"label\": \"5 euro cent coin\"},\n {\"box_2d\": [347, 267, 577, 498], \"label\": \"2 euro coin\"},\n {\"box_2d\": [366, 644, 536, 819], \"label\": \"2 euro cent coin\"},\n {\"box_2d\": [500, 509, 647, 659], \"label\": \"1 euro cent coin\"},\n {\"box_2d\": [562, 689, 744, 875], \"label\": \"10 euro cent coin\"},\n {\"box_2d\": [605, 150, 808, 353], \"label\": \"20 euro cent coin\"},\n {\"box_2d\": [700, 439, 914, 650], \"label\": \"1 euro coin\"}\n]\n```", "correct": true, "input_tokens": 1272, "output_tokens": 1201, "elapsed_seconds": 13.015048125060275, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 13.0364}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 45, "image": "9999942_00000_d_0000135_jpg.rf.52553444f2adb8d7ba245527bc1de4b5.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [811, 137, 926, 184], \"label\": \"car\"},\n {\"box_2d\": [693, 104, 791, 158], \"label\": \"car\"},\n {\"box_2d\": [525, 10, 571, 76], \"label\": \"van\"},\n {\"box_2d\": [570, 372, 633, 448], \"label\": \"car\"},\n {\"box_2d\": [608, 520, 649, 590], \"label\": \"car\"},\n {\"box_2d\": [548, 535, 591, 603], \"label\": \"car\"},\n {\"box_2d\": [605, 673, 646, 722], \"label\": \"car\"},\n {\"box_2d\": [385, 150, 434, 184], \"label\": \"car\"},\n {\"box_2d\": [318, 176, 378, 206], \"label\": \"car\"},\n {\"box_2d\": [237, 134, 289, 181], \"label\": \"car\"},\n {\"box_2d\": [190, 269, 259, 301], \"label\": \"car\"},\n {\"box_2d\": [160, 168, 194, 210], \"label\": \"car\"},\n {\"box_2d\": [128, 170, 165, 229], \"label\": \"car\"},\n {\"box_2d\": [96, 175, 130, 231], \"label\": \"car\"},\n {\"box_2d\": [94, 281, 170, 315], \"label\": \"van\"},\n {\"box_2d\": [44, 240, 102, 267], \"label\": \"car\"},\n {\"box_2d\": [28, 294, 92, 323], \"label\": \"car\"},\n {\"box_2d\": [0, 192, 33, 255], \"label\": \"van\"},\n {\"box_2d\": [0, 309, 25, 333], \"label\": \"car\"},\n {\"box_2d\": [0, 381, 41, 404], \"label\": \"van\"},\n {\"box_2d\": [21, 405, 78, 431], \"label\": \"car\"},\n {\"box_2d\": [134, 394, 199, 422], \"label\": \"car\"},\n {\"box_2d\": [238, 375, 334, 412], \"label\": \"truck\"},\n {\"box_2d\": [530, 273, 550, 289], \"label\": \"person\"},\n {\"box_2d\": [478, 449, 496, 460], \"label\": \"person\"},\n {\"box_2d\": [471, 463, 491, 473], \"label\": \"person\"},\n {\"box_2d\": [484, 470, 503, 480], \"label\": \"person\"},\n {\"box_2d\": [112, 249, 137, 261], \"label\": \"person\"},\n {\"box_2d\": [111, 350, 139, 361], \"label\": \"person\"}\n]\n```", "correct": false, "input_tokens": 1215, "output_tokens": 2534, "elapsed_seconds": 22.711119083920494, "metadata": {"match_method": "map", "num_predictions": 29, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.28762105107307434, "attempts": 1, "retries": 0, "total_seconds": 22.7865}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 46, "image": "tire_2024-09-25_27_png_jpg.rf.86e579b04ca3a3e9f7a480c31239539e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [79, 272, 165, 471], \"label\": \"tire size text\"},\n {\"box_2d\": [332, 804, 396, 843], \"label\": \"tire size text\"},\n {\"box_2d\": [890, 470, 956, 681], \"label\": \"tire size text\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 587, "elapsed_seconds": 11.97067299997434, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 12.3062}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 47, "image": "Container-144_jpg.rf.4f556fc57071dc9d870c03989b923d26.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [252, 557, 277, 737], \"label\": \"shipping container number\"},\n {\"box_2d\": [285, 558, 308, 608], \"label\": \"container ISO type code\"}\n]\n```", "correct": true, "input_tokens": 1232, "output_tokens": 399, "elapsed_seconds": 5.5289676249958575, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 5.5413}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 48, "image": "frame_0151_jpg.rf.6c7fef6c392aec746239d36e4257e862.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [130, 128, 196, 172], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [300, 114, 370, 165], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [426, 85, 502, 139], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [615, 86, 709, 134], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [788, 69, 874, 131], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [143, 237, 206, 279], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [294, 249, 357, 287], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [468, 207, 530, 245], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [502, 254, 573, 297], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [720, 237, 801, 282], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [894, 239, 962, 287], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [110, 334, 169, 371], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [215, 339, 283, 376], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [340, 333, 408, 372], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [578, 366, 646, 406], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [641, 370, 712, 412], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [115, 426, 174, 460], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [198, 442, 258, 476], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [276, 445, 348, 484], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [492, 466, 557, 502], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [166, 531, 231, 567], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [264, 538, 321, 575], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [419, 569, 485, 606], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [780, 581, 850, 621], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [350, 648, 407, 682], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [474, 675, 536, 709], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [20, 549, 77, 583], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [1, 348, 48, 382], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [3, 381, 44, 410], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [4, 414, 51, 445], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 514, 51, 547], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 610, 54, 636], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 251, 45, 284], \"label\": \"garlic on conveyor\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 2275, "elapsed_seconds": 22.601966958027333, "metadata": {"match_method": "map", "num_predictions": 33, "num_ground_truth": 27, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 22.6994}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 49, "image": "4106884_ContLeftUpper_f_jpg.rf.92488d92926163302f246be3b53efb13.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [229, 23, 257, 46], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [227, 100, 260, 125], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [227, 180, 260, 205], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [230, 258, 262, 284], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [233, 337, 262, 360], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [235, 417, 264, 441], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [234, 495, 264, 519], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [237, 575, 262, 597], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [411, 222, 439, 244], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [413, 299, 444, 323], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [421, 380, 448, 402], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [427, 459, 454, 480], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [523, 67, 550, 89], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [523, 145, 552, 168], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [526, 222, 552, 245], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [526, 300, 555, 324], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [527, 381, 553, 402], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [529, 459, 553, 481], \"label\": \"shipping container wall dent\"}\n]\n```", "correct": false, "input_tokens": 1219, "output_tokens": 2525, "elapsed_seconds": 24.630818874924444, "metadata": {"match_method": "map", "num_predictions": 18, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.10669773072004318, "attempts": 1, "retries": 0, "total_seconds": 24.7382}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 50, "image": "img_459031286691397716_png.rf.6de9abc735878b2b2cc1f1fa95486a5f.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [38, 161, 169, 305], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [127, 144, 261, 294], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [223, 127, 360, 279], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [324, 102, 463, 264], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [437, 79, 577, 255], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [560, 48, 700, 240], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [698, 22, 842, 223], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [840, 0, 1000, 194], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [7, 297, 129, 434], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [96, 287, 226, 429], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [187, 273, 323, 422], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [283, 258, 419, 413], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [393, 244, 530, 408], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [511, 226, 650, 396], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [645, 207, 787, 389], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [788, 180, 944, 376], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [48, 422, 169, 558], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [134, 415, 262, 557], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [229, 411, 364, 558], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [332, 395, 469, 551], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [445, 392, 579, 552], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [567, 376, 706, 545], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [702, 369, 847, 549], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [846, 355, 1000, 546], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [11, 546, 134, 681], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [98, 545, 224, 687], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [189, 544, 319, 691], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [288, 540, 424, 695], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [399, 540, 530, 700], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [517, 533, 656, 703], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [648, 534, 791, 712], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [790, 533, 945, 720], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [49, 672, 179, 809], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [137, 674, 270, 819], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [231, 678, 366, 829], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [334, 679, 473, 844], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [446, 684, 584, 859], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [573, 687, 713, 870], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [709, 697, 852, 888], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [851, 705, 1000, 913], \"label\": \"empty portable gas cylinder\"}\n]\n```", "correct": true, "input_tokens": 1203, "output_tokens": 3044, "elapsed_seconds": 25.701839833986014, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 40, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 25.7751}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 51, "image": "1668147211__jpg.rf.0ee3d637cd990a070a8c1bcc234c9d5a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [655, 28, 701, 56], \"label\": \"six die\"},\n {\"box_2d\": [892, 113, 941, 141], \"label\": \"one die\"},\n {\"box_2d\": [622, 177, 673, 207], \"label\": \"six die\"},\n {\"box_2d\": [637, 208, 694, 241], \"label\": \"four die\"},\n {\"box_2d\": [758, 222, 816, 255], \"label\": \"five die\"},\n {\"box_2d\": [432, 198, 487, 229], \"label\": \"five die\"},\n {\"box_2d\": [374, 193, 421, 220], \"label\": \"three die\"},\n {\"box_2d\": [257, 194, 314, 227], \"label\": \"four die\"},\n {\"box_2d\": [211, 218, 268, 251], \"label\": \"one die\"},\n {\"box_2d\": [250, 239, 302, 268], \"label\": \"three die\"},\n {\"box_2d\": [109, 243, 162, 273], \"label\": \"three die\"},\n {\"box_2d\": [156, 255, 211, 288], \"label\": \"four die\"},\n {\"box_2d\": [219, 297, 272, 326], \"label\": \"two die\"},\n {\"box_2d\": [229, 341, 284, 372], \"label\": \"five die\"},\n {\"box_2d\": [191, 366, 249, 399], \"label\": \"three die\"},\n {\"box_2d\": [247, 371, 303, 403], \"label\": \"one die\"},\n {\"box_2d\": [272, 401, 322, 427], \"label\": \"one die\"},\n {\"box_2d\": [331, 369, 383, 399], \"label\": \"six die\"},\n {\"box_2d\": [392, 418, 440, 445], \"label\": \"five die\"},\n {\"box_2d\": [354, 447, 412, 480], \"label\": \"two die\"},\n {\"box_2d\": [177, 454, 231, 485], \"label\": \"one die\"},\n {\"box_2d\": [243, 458, 302, 491], \"label\": \"four die\"},\n {\"box_2d\": [237, 491, 294, 521], \"label\": \"three die\"},\n {\"box_2d\": [351, 555, 410, 589], \"label\": \"six die\"},\n {\"box_2d\": [529, 304, 583, 335], \"label\": \"one die\"},\n {\"box_2d\": [619, 309, 672, 339], \"label\": \"one die\"},\n {\"box_2d\": [602, 379, 658, 411], \"label\": \"three die\"},\n {\"box_2d\": [578, 416, 630, 445], \"label\": \"four die\"},\n {\"box_2d\": [653, 397, 704, 425], \"label\": \"six die\"},\n {\"box_2d\": [682, 425, 737, 455], \"label\": \"four die\"},\n {\"box_2d\": [662, 450, 715, 479], \"label\": \"three die\"},\n {\"box_2d\": [619, 507, 667, 533], \"label\": \"one die\"},\n {\"box_2d\": [659, 526, 711, 555], \"label\": \"four die\"},\n {\"box_2d\": [777, 471, 830, 500], \"label\": \"three die\"},\n {\"box_2d\": [780, 536, 831, 563], \"label\": \"one die\"},\n {\"box_2d\": [855, 580, 908, 610], \"label\": \"two die\"},\n {\"box_2d\": [695, 617, 751, 649], \"label\": \"three die\"},\n {\"box_2d\": [53, 648, 111, 680], \"label\": \"six die\"},\n {\"box_2d\": [89, 673, 150, 707], \"label\": \"three die\"},\n {\"box_2d\": [149, 769, 206, 802], \"label\": \"two die\"},\n {\"box_2d\": [283, 739, 339, 770], \"label\": \"three die\"},\n {\"box_2d\": [289, 869, 342, 902], \"label\": \"five die\"},\n {\"box_2d\": [427, 807, 478, 835], \"label\": \"two die\"},\n {\"box_2d\": [503, 799, 562, 833], \"label\": \"four die\"},\n {\"box_2d\": [503, 842, 561, 875], \"label\": \"four die\"},\n {\"box_2d\": [477, 862, 533, 895], \"label\": \"one die\"},\n {\"box_2d\": [583, 797, 636, 829], \"label\": \"two die\"},\n {\"box_2d\": [599, 838, 647, 867], \"label\": \"one die\"},\n {\"box_2d\": [602, 878, 658, 912], \"label\": \"two die\"},\n {\"box_2d\": [653, 801, 710, 834], \"label\": \"one die\"},\n {\"box_2d\": [649, 833, 700, 862], \"label\": \"one die\"}\n]\n```", "correct": true, "input_tokens": 1252, "output_tokens": 4091, "elapsed_seconds": 32.39086674991995, "metadata": {"match_method": "map", "num_predictions": 51, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9534286856651306, "attempts": 1, "retries": 0, "total_seconds": 32.4282}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 52, "image": "3533container_jpg.rf.12bfe57075507c019cfd5dc24dd08b40.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [377, 238, 463, 266], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [497, 147, 561, 182], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [376, 321, 460, 345], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [613, 397, 664, 434], \"label\": \"shipping container wall dent\"}\n]\n```", "correct": false, "input_tokens": 1219, "output_tokens": 1143, "elapsed_seconds": 14.804948540986516, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.2574257552623749, "attempts": 1, "retries": 0, "total_seconds": 14.8861}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 53, "image": "DJI_20230529095121_0346_T_JPG_jpg.rf.a2baa2ffdce5ec84e5f5d22342f6b310.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [320, 305, 333, 319], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [327, 428, 340, 440], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [251, 625, 353, 646], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [460, 916, 474, 931], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [703, 465, 720, 482], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [706, 503, 722, 518], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [714, 591, 726, 603], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [829, 858, 845, 874], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [831, 901, 846, 916], \"label\": \"solar panel hot spot\"}\n]\n```", "correct": true, "input_tokens": 1228, "output_tokens": 1317, "elapsed_seconds": 12.883535541011952, "metadata": {"match_method": "map", "num_predictions": 9, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9174917340278625, "attempts": 1, "retries": 0, "total_seconds": 12.903}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 54, "image": "IMG_20250815_170041_jpg.rf.a65978ab35e2cb48c68d9eebdeaab87b.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [583, 309, 672, 412], \"label\": \"barcode\"},\n {\"box_2d\": [664, 0, 758, 75], \"label\": \"barcode\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 787, "elapsed_seconds": 12.090151207987219, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 12.3934}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 55, "image": "1_000070_png.rf.a431761eff2c713a18daff7bade25bde.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [159, 193, 187, 205], \"label\": \"tire spike normal\"},\n {\"box_2d\": [192, 91, 218, 101], \"label\": \"tire spike normal\"},\n {\"box_2d\": [283, 57, 310, 67], \"label\": \"tire spike normal\"},\n {\"box_2d\": [215, 247, 245, 258], \"label\": \"tire spike normal\"},\n {\"box_2d\": [295, 286, 331, 299], \"label\": \"tire spike normal\"},\n {\"box_2d\": [189, 353, 232, 369], \"label\": \"tire spike normal\"},\n {\"box_2d\": [306, 396, 340, 410], \"label\": \"tire spike absent\"},\n {\"box_2d\": [199, 467, 245, 483], \"label\": \"tire spike normal\"},\n {\"box_2d\": [187, 521, 230, 537], \"label\": \"tire spike normal\"},\n {\"box_2d\": [248, 594, 291, 611], \"label\": \"tire spike normal\"},\n {\"box_2d\": [216, 649, 257, 664], \"label\": \"tire spike normal\"},\n {\"box_2d\": [270, 717, 309, 730], \"label\": \"tire spike normal\"},\n {\"box_2d\": [232, 764, 267, 775], \"label\": \"tire spike normal\"},\n {\"box_2d\": [295, 819, 329, 830], \"label\": \"tire spike normal\"},\n {\"box_2d\": [381, 857, 413, 868], \"label\": \"tire spike normal\"},\n {\"box_2d\": [293, 896, 322, 905], \"label\": \"tire spike normal\"},\n {\"box_2d\": [392, 920, 421, 928], \"label\": \"tire spike normal\"},\n {\"box_2d\": [591, 73, 621, 83], \"label\": \"tire spike normal\"},\n {\"box_2d\": [687, 103, 715, 112], \"label\": \"tire spike normal\"},\n {\"box_2d\": [625, 138, 654, 150], \"label\": \"tire spike normal\"},\n {\"box_2d\": [703, 178, 738, 190], \"label\": \"tire spike absent\"},\n {\"box_2d\": [731, 285, 766, 298], \"label\": \"tire spike normal\"},\n {\"box_2d\": [639, 333, 678, 346], \"label\": \"tire spike normal\"},\n {\"box_2d\": [745, 395, 776, 405], \"label\": \"tire spike absent\"},\n {\"box_2d\": [663, 446, 704, 462], \"label\": \"tire spike normal\"},\n {\"box_2d\": [766, 505, 805, 521], \"label\": \"tire spike normal\"},\n {\"box_2d\": [817, 573, 854, 588], \"label\": \"tire spike normal\"},\n {\"box_2d\": [779, 636, 814, 650], \"label\": \"tire spike absent\"},\n {\"box_2d\": [825, 696, 864, 710], \"label\": \"tire spike absent\"},\n {\"box_2d\": [788, 753, 829, 767], \"label\": \"tire spike normal\"},\n {\"box_2d\": [832, 801, 869, 813], \"label\": \"tire spike absent\"},\n {\"box_2d\": [782, 847, 818, 859], \"label\": \"tire spike absent\"},\n {\"box_2d\": [701, 886, 737, 896], \"label\": \"tire spike normal\"},\n {\"box_2d\": [696, 939, 725, 947], \"label\": \"tire spike normal\"}\n]\n```", "correct": false, "input_tokens": 1222, "output_tokens": 3380, "elapsed_seconds": 27.53447066701483, "metadata": {"match_method": "map", "num_predictions": 34, "num_ground_truth": 46, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.2647970914840698, "attempts": 1, "retries": 0, "total_seconds": 27.589}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 56, "image": "egg-detection_image148_jpg.rf.7ef43d25f8e9b9b7f3d805f238830ff7.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [21, 706, 94, 760], \"label\": \"egg\"},\n {\"box_2d\": [56, 569, 134, 625], \"label\": \"egg\"},\n {\"box_2d\": [103, 613, 185, 675], \"label\": \"egg\"},\n {\"box_2d\": [111, 685, 190, 740], \"label\": \"egg\"},\n {\"box_2d\": [158, 516, 240, 577], \"label\": \"egg\"},\n {\"box_2d\": [221, 698, 303, 754], \"label\": \"egg\"},\n {\"box_2d\": [275, 660, 360, 719], \"label\": \"egg\"},\n {\"box_2d\": [333, 713, 419, 772], \"label\": \"egg\"},\n {\"box_2d\": [400, 631, 487, 694], \"label\": \"egg\"},\n {\"box_2d\": [408, 531, 493, 594], \"label\": \"egg\"},\n {\"box_2d\": [443, 761, 553, 804], \"label\": \"egg\"},\n {\"box_2d\": [512, 714, 595, 769], \"label\": \"egg\"},\n {\"box_2d\": [580, 658, 667, 719], \"label\": \"egg\"},\n {\"box_2d\": [584, 594, 673, 659], \"label\": \"egg\"},\n {\"box_2d\": [624, 757, 708, 810], \"label\": \"egg\"},\n {\"box_2d\": [630, 698, 719, 759], \"label\": \"egg\"},\n {\"box_2d\": [706, 616, 789, 677], \"label\": \"egg\"},\n {\"box_2d\": [740, 741, 818, 796], \"label\": \"egg\"},\n {\"box_2d\": [753, 657, 838, 718], \"label\": \"egg\"},\n {\"box_2d\": [772, 519, 855, 581], \"label\": \"egg\"},\n {\"box_2d\": [801, 698, 881, 756], \"label\": \"egg\"},\n {\"box_2d\": [891, 730, 976, 774], \"label\": \"egg\"},\n {\"box_2d\": [907, 675, 985, 733], \"label\": \"egg\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 2226, "elapsed_seconds": 21.046279875095934, "metadata": {"match_method": "map", "num_predictions": 23, "num_ground_truth": 23, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 21.1387}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 57, "image": "wood-log-detection_024_png_jpg.rf.263e49a755104b6d29dbdffe768891e9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [64, 292, 125, 383], \"label\": \"log cross-section\"},\n {\"box_2d\": [102, 412, 150, 470], \"label\": \"log cross-section\"},\n {\"box_2d\": [120, 656, 148, 692], \"label\": \"log cross-section\"},\n {\"box_2d\": [126, 239, 166, 297], \"label\": \"log cross-section\"},\n {\"box_2d\": [126, 469, 155, 502], \"label\": \"log cross-section\"},\n {\"box_2d\": [145, 281, 180, 322], \"label\": \"log cross-section\"},\n {\"box_2d\": [147, 319, 189, 370], \"label\": \"log cross-section\"},\n {\"box_2d\": [148, 656, 206, 727], \"label\": \"log cross-section\"},\n {\"box_2d\": [150, 442, 191, 491], \"label\": \"log cross-section\"},\n {\"box_2d\": [153, 533, 203, 600], \"label\": \"log cross-section\"},\n {\"box_2d\": [167, 386, 198, 425], \"label\": \"log cross-section\"},\n {\"box_2d\": [169, 245, 225, 314], \"label\": \"log cross-section\"},\n {\"box_2d\": [175, 600, 222, 661], \"label\": \"log cross-section\"},\n {\"box_2d\": [184, 511, 219, 552], \"label\": \"log cross-section\"},\n {\"box_2d\": [191, 319, 239, 378], \"label\": \"log cross-section\"},\n {\"box_2d\": [200, 422, 239, 477], \"label\": \"log cross-section\"},\n {\"box_2d\": [200, 697, 234, 744], \"label\": \"log cross-section\"},\n {\"box_2d\": [206, 620, 256, 686], \"label\": \"log cross-section\"},\n {\"box_2d\": [214, 238, 247, 281], \"label\": \"log cross-section\"},\n {\"box_2d\": [214, 488, 245, 523], \"label\": \"log cross-section\"},\n {\"box_2d\": [220, 566, 253, 600], \"label\": \"log cross-section\"},\n {\"box_2d\": [222, 519, 264, 567], \"label\": \"log cross-section\"},\n {\"box_2d\": [223, 292, 259, 338], \"label\": \"log cross-section\"},\n {\"box_2d\": [231, 438, 269, 483], \"label\": \"log cross-section\"},\n {\"box_2d\": [236, 386, 277, 434], \"label\": \"log cross-section\"},\n {\"box_2d\": [247, 320, 283, 366], \"label\": \"log cross-section\"},\n {\"box_2d\": [250, 245, 298, 312], \"label\": \"log cross-section\"},\n {\"box_2d\": [250, 489, 283, 533], \"label\": \"log cross-section\"},\n {\"box_2d\": [252, 664, 305, 738], \"label\": \"log cross-section\"},\n {\"box_2d\": [258, 559, 312, 628], \"label\": \"log cross-section\"},\n {\"box_2d\": [266, 419, 308, 480], \"label\": \"log cross-section\"},\n {\"box_2d\": [267, 625, 300, 666], \"label\": \"log cross-section\"},\n {\"box_2d\": [278, 350, 312, 395], \"label\": \"log cross-section\"},\n {\"box_2d\": [292, 473, 328, 517], \"label\": \"log cross-section\"},\n {\"box_2d\": [294, 534, 330, 581], \"label\": \"log cross-section\"},\n {\"box_2d\": [294, 691, 334, 744], \"label\": \"log cross-section\"},\n {\"box_2d\": [297, 414, 342, 477], \"label\": \"log cross-section\"},\n {\"box_2d\": [300, 391, 342, 423], \"label\": \"log cross-section\"},\n {\"box_2d\": [306, 241, 345, 295], \"label\": \"log cross-section\"},\n {\"box_2d\": [327, 642, 355, 691], \"label\": \"log cross-section\"}\n]\n```", "correct": true, "input_tokens": 1228, "output_tokens": 4850, "elapsed_seconds": 43.414150584023446, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 40, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8946012854576111, "attempts": 1, "retries": 0, "total_seconds": 43.434}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 58, "image": "img_458587397241176242_png.rf.41b1d861ca437ce5097848dacad76db8.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [172, 250, 263, 367], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [251, 243, 345, 361], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [332, 224, 434, 353], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [422, 209, 528, 342], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [519, 190, 630, 333], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [623, 171, 736, 322], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [736, 149, 855, 311], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [853, 121, 991, 297], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [126, 362, 217, 474], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [205, 353, 302, 469], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [289, 342, 393, 467], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [378, 333, 487, 462], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [474, 319, 585, 454], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [577, 305, 691, 449], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [690, 289, 809, 448], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [810, 269, 945, 442], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [147, 465, 245, 584], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [231, 463, 334, 587], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [319, 458, 425, 588], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [413, 451, 522, 587], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [513, 441, 628, 591], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [623, 434, 742, 589], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [742, 425, 868, 591], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [867, 412, 1000, 584], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [100, 584, 200, 707], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [182, 580, 285, 709], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [270, 578, 376, 712], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [364, 575, 474, 715], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [466, 574, 580, 720], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [575, 576, 696, 729], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [695, 574, 821, 736], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [824, 569, 971, 742], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [119, 701, 228, 835], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [208, 702, 317, 840], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [299, 704, 412, 847], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [397, 709, 515, 859], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [504, 713, 628, 871], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [623, 719, 748, 885], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [749, 723, 882, 899], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [881, 731, 1000, 913], \"label\": \"empty portable gas cylinder\"}\n]\n```", "correct": false, "input_tokens": 1208, "output_tokens": 5512, "elapsed_seconds": 52.70756545907352, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 40, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.44627004861831665, "attempts": 2, "retries": 1, "total_seconds": 115.8144, "transient_errors": ["RemoteProtocolError"]}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 59, "image": "frame_0008_jpg.rf.87aed24f253375f69a3bb398f6521d18.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [41, 340, 86, 365], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [34, 395, 77, 421], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [25, 450, 69, 476], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [27, 505, 72, 531], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [125, 333, 171, 358], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [116, 388, 165, 415], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [112, 447, 159, 474], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [113, 506, 161, 532], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [217, 326, 263, 352], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [209, 383, 255, 410], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [205, 446, 251, 473], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [205, 509, 250, 535], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [498, 315, 550, 343], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [513, 375, 565, 404], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [526, 438, 577, 467], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [540, 502, 592, 531], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [609, 301, 661, 329], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [624, 360, 678, 390], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [641, 425, 694, 455], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [654, 489, 707, 519], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [721, 295, 773, 323], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [740, 356, 792, 384], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [756, 419, 809, 447], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [769, 485, 822, 514], \"label\": \"soda bottle cap\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 1702, "elapsed_seconds": 18.326343458960764, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 24, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 18.7061}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 60, "image": "uav20221018_ixfZ_3857_0_png.rf.68f3022f53a4bfe08c731fb3a58473cf.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [204, 408, 275, 471], \"label\": \"banana tree\"},\n {\"box_2d\": [228, 336, 309, 405], \"label\": \"banana tree\"},\n {\"box_2d\": [283, 404, 353, 474], \"label\": \"banana tree\"},\n {\"box_2d\": [322, 323, 391, 397], \"label\": \"banana tree\"},\n {\"box_2d\": [372, 395, 443, 480], \"label\": \"banana tree\"},\n {\"box_2d\": [414, 344, 466, 394], \"label\": \"banana tree\"},\n {\"box_2d\": [445, 403, 513, 478], \"label\": \"banana tree\"},\n {\"box_2d\": [492, 319, 571, 403], \"label\": \"banana tree\"},\n {\"box_2d\": [534, 406, 599, 467], \"label\": \"banana tree\"},\n {\"box_2d\": [580, 335, 659, 395], \"label\": \"banana tree\"},\n {\"box_2d\": [625, 409, 704, 485], \"label\": \"banana tree\"},\n {\"box_2d\": [666, 341, 738, 410], \"label\": \"banana tree\"},\n {\"box_2d\": [712, 415, 782, 474], \"label\": \"banana tree\"},\n {\"box_2d\": [750, 322, 834, 404], \"label\": \"banana tree\"},\n {\"box_2d\": [796, 404, 874, 482], \"label\": \"banana tree\"},\n {\"box_2d\": [842, 339, 912, 406], \"label\": \"banana tree\"},\n {\"box_2d\": [875, 405, 948, 484], \"label\": \"banana tree\"},\n {\"box_2d\": [927, 335, 991, 400], \"label\": \"banana tree\"},\n {\"box_2d\": [966, 407, 1000, 479], \"label\": \"banana tree\"},\n {\"box_2d\": [184, 680, 255, 754], \"label\": \"banana tree\"},\n {\"box_2d\": [233, 688, 312, 764], \"label\": \"banana tree\"},\n {\"box_2d\": [272, 629, 340, 691], \"label\": \"banana tree\"},\n {\"box_2d\": [312, 691, 397, 767], \"label\": \"banana tree\"},\n {\"box_2d\": [357, 619, 441, 693], \"label\": \"banana tree\"},\n {\"box_2d\": [397, 696, 481, 772], \"label\": \"banana tree\"},\n {\"box_2d\": [449, 625, 510, 696], \"label\": \"banana tree\"},\n {\"box_2d\": [475, 695, 560, 772], \"label\": \"banana tree\"},\n {\"box_2d\": [534, 620, 608, 701], \"label\": \"banana tree\"},\n {\"box_2d\": [563, 703, 650, 777], \"label\": \"banana tree\"},\n {\"box_2d\": [619, 645, 681, 704], \"label\": \"banana tree\"},\n {\"box_2d\": [653, 693, 738, 779], \"label\": \"banana tree\"},\n {\"box_2d\": [697, 623, 773, 709], \"label\": \"banana tree\"},\n {\"box_2d\": [737, 699, 814, 780], \"label\": \"banana tree\"},\n {\"box_2d\": [786, 634, 860, 702], \"label\": \"banana tree\"},\n {\"box_2d\": [824, 694, 903, 770], \"label\": \"banana tree\"},\n {\"box_2d\": [869, 625, 938, 704], \"label\": \"banana tree\"},\n {\"box_2d\": [908, 700, 987, 768], \"label\": \"banana tree\"},\n {\"box_2d\": [960, 623, 1000, 697], \"label\": \"banana tree\"},\n {\"box_2d\": [202, 937, 267, 987], \"label\": \"banana tree\"},\n {\"box_2d\": [283, 926, 371, 996], \"label\": \"banana tree\"},\n {\"box_2d\": [378, 925, 449, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [448, 934, 531, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [539, 920, 619, 999], \"label\": \"banana tree\"},\n {\"box_2d\": [625, 939, 698, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [705, 929, 787, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [795, 945, 863, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [875, 934, 954, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [967, 947, 1000, 998], \"label\": \"banana tree\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 6093, "elapsed_seconds": 50.92951349995565, "metadata": {"match_method": "map", "num_predictions": 48, "num_ground_truth": 47, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9872112274169922, "attempts": 1, "retries": 0, "total_seconds": 50.9807}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 61, "image": "egg-detection_image32_jpg.rf.bd04bf65691e0bae0f1d97601289a543.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [175, 692, 255, 753], \"label\": \"egg\"},\n {\"box_2d\": [447, 427, 535, 491], \"label\": \"egg\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 255, "elapsed_seconds": 6.876707250019535, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 6.9736}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 62, "image": "construction-safety_ppe_0407_jpg.rf.b54d8bba5b223e0515f3d28ff728e79a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [375, 333, 820, 414], \"label\": \"person\"},\n {\"box_2d\": [374, 353, 417, 382], \"label\": \"safety helmet\"},\n {\"box_2d\": [448, 342, 636, 393], \"label\": \"safety vest\"},\n {\"box_2d\": [359, 389, 780, 444], \"label\": \"person\"},\n {\"box_2d\": [357, 405, 401, 433], \"label\": \"safety helmet\"},\n {\"box_2d\": [427, 392, 587, 443], \"label\": \"safety vest\"},\n {\"box_2d\": [344, 456, 735, 512], \"label\": \"person\"},\n {\"box_2d\": [354, 483, 678, 514], \"label\": \"person\"},\n {\"box_2d\": [344, 463, 388, 495], \"label\": \"safety helmet\"},\n {\"box_2d\": [418, 456, 613, 506], \"label\": \"safety vest\"},\n {\"box_2d\": [377, 517, 811, 577], \"label\": \"person\"},\n {\"box_2d\": [377, 536, 434, 567], \"label\": \"safety helmet\"},\n {\"box_2d\": [450, 524, 651, 574], \"label\": \"safety vest\"},\n {\"box_2d\": [399, 578, 809, 634], \"label\": \"person\"},\n {\"box_2d\": [399, 590, 443, 617], \"label\": \"safety helmet\"},\n {\"box_2d\": [462, 582, 651, 631], \"label\": \"safety vest\"},\n {\"box_2d\": [351, 643, 822, 696], \"label\": \"person\"},\n {\"box_2d\": [348, 654, 392, 683], \"label\": \"safety helmet\"},\n {\"box_2d\": [436, 647, 608, 694], \"label\": \"safety vest\"},\n {\"box_2d\": [309, 609, 991, 767], \"label\": \"person\"},\n {\"box_2d\": [309, 697, 375, 743], \"label\": \"safety helmet\"},\n {\"box_2d\": [404, 686, 681, 765], \"label\": \"safety vest\"},\n {\"box_2d\": [360, 725, 861, 772], \"label\": \"person\"},\n {\"box_2d\": [359, 735, 398, 753], \"label\": \"safety helmet\"},\n {\"box_2d\": [331, 808, 895, 895], \"label\": \"person\"},\n {\"box_2d\": [331, 822, 376, 862], \"label\": \"safety helmet\"},\n {\"box_2d\": [419, 825, 637, 890], \"label\": \"safety vest\"}\n]\n```", "correct": true, "input_tokens": 1220, "output_tokens": 2294, "elapsed_seconds": 23.57490666594822, "metadata": {"match_method": "map", "num_predictions": 27, "num_ground_truth": 28, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9603960514068604, "attempts": 1, "retries": 0, "total_seconds": 23.5996}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 63, "image": "IMG_4931_jpg.rf.58c129944a1f2b663c55dbd43e27cf91.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [603, 248, 643, 267], \"label\": \"face\"},\n {\"box_2d\": [631, 341, 675, 363], \"label\": \"face\"},\n {\"box_2d\": [420, 250, 450, 267], \"label\": \"face\"},\n {\"box_2d\": [433, 281, 464, 297], \"label\": \"face\"},\n {\"box_2d\": [423, 376, 452, 391], \"label\": \"face\"},\n {\"box_2d\": [338, 399, 361, 412], \"label\": \"face\"},\n {\"box_2d\": [352, 429, 375, 442], \"label\": \"face\"},\n {\"box_2d\": [308, 491, 326, 501], \"label\": \"face\"},\n {\"box_2d\": [320, 524, 340, 534], \"label\": \"face\"},\n {\"box_2d\": [295, 555, 313, 565], \"label\": \"face\"},\n {\"box_2d\": [296, 606, 314, 616], \"label\": \"face\"},\n {\"box_2d\": [321, 633, 340, 643], \"label\": \"face\"},\n {\"box_2d\": [345, 614, 364, 624], \"label\": \"face\"},\n {\"box_2d\": [345, 645, 364, 655], \"label\": \"face\"},\n {\"box_2d\": [358, 597, 380, 610], \"label\": \"face\"},\n {\"box_2d\": [367, 623, 388, 636], \"label\": \"face\"},\n {\"box_2d\": [336, 695, 356, 705], \"label\": \"face\"},\n {\"box_2d\": [356, 726, 375, 736], \"label\": \"face\"},\n {\"box_2d\": [359, 757, 378, 767], \"label\": \"face\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 2551, "elapsed_seconds": 24.544440791010857, "metadata": {"match_method": "map", "num_predictions": 19, "num_ground_truth": 28, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6732673048973083, "attempts": 1, "retries": 0, "total_seconds": 24.869}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 64, "image": "tile_232_jpg.rf.d215d900b9cd862d3217f88435d7ad8a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [587, 406, 646, 519], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [623, 546, 718, 746], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [669, 781, 731, 976], \"label\": \"ship in SAR satellite image\"}\n]\n```", "correct": true, "input_tokens": 1229, "output_tokens": 1086, "elapsed_seconds": 13.243053875048645, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 13.273}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 65, "image": "IMG_20250815_164441_jpg.rf.3c12e140b11a4091c99d31ed66a86850.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [92, 637, 148, 665], \"label\": \"barcode\"},\n {\"box_2d\": [146, 261, 203, 290], \"label\": \"barcode\"},\n {\"box_2d\": [156, 418, 181, 446], \"label\": \"barcode\"},\n {\"box_2d\": [179, 511, 234, 538], \"label\": \"barcode\"},\n {\"box_2d\": [500, 486, 524, 513], \"label\": \"barcode\"},\n {\"box_2d\": [503, 324, 557, 353], \"label\": \"barcode\"},\n {\"box_2d\": [507, 629, 561, 657], \"label\": \"barcode\"},\n {\"box_2d\": [515, 208, 567, 237], \"label\": \"barcode\"},\n {\"box_2d\": [535, 838, 588, 867], \"label\": \"barcode\"},\n {\"box_2d\": [597, 38, 622, 67], \"label\": \"barcode\"},\n {\"box_2d\": [603, 229, 628, 258], \"label\": \"barcode\"},\n {\"box_2d\": [611, 371, 637, 400], \"label\": \"barcode\"},\n {\"box_2d\": [615, 519, 640, 547], \"label\": \"barcode\"},\n {\"box_2d\": [621, 666, 646, 694], \"label\": \"barcode\"},\n {\"box_2d\": [630, 838, 654, 865], \"label\": \"barcode\"},\n {\"box_2d\": [632, 979, 657, 1000], \"label\": \"barcode\"},\n {\"box_2d\": [830, 41, 884, 69], \"label\": \"barcode\"},\n {\"box_2d\": [832, 214, 856, 242], \"label\": \"barcode\"},\n {\"box_2d\": [864, 396, 889, 424], \"label\": \"barcode\"},\n {\"box_2d\": [866, 525, 891, 552], \"label\": \"barcode\"},\n {\"box_2d\": [864, 653, 887, 680], \"label\": \"barcode\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 2328, "elapsed_seconds": 21.80650741700083, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 21, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 22.1464}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 66, "image": "car-part-detection_Car-damages-128_png_jpg.rf.e07bc73742c49cec70d8b7dc538a39d2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [559, 55, 771, 113], \"label\": \"front bumper\"},\n {\"box_2d\": [499, 67, 580, 107], \"label\": \"headlight\"},\n {\"box_2d\": [361, 72, 499, 327], \"label\": \"hood\"},\n {\"box_2d\": [227, 299, 417, 456], \"label\": \"windshield\"},\n {\"box_2d\": [344, 379, 418, 419], \"label\": \"mirror\"},\n {\"box_2d\": [219, 351, 416, 595], \"label\": \"front window\"},\n {\"box_2d\": [219, 316, 718, 590], \"label\": \"front door\"},\n {\"box_2d\": [217, 598, 391, 814], \"label\": \"back window\"},\n {\"box_2d\": [215, 563, 703, 814], \"label\": \"back door\"},\n {\"box_2d\": [244, 864, 368, 920], \"label\": \"back windshield\"},\n {\"box_2d\": [355, 895, 479, 932], \"label\": \"tail light\"},\n {\"box_2d\": [479, 852, 720, 950], \"label\": \"back bumper\"}\n]\n```", "correct": true, "input_tokens": 1224, "output_tokens": 1314, "elapsed_seconds": 13.63201491709333, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 13, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9587457776069641, "attempts": 1, "retries": 0, "total_seconds": 13.6533}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 67, "image": "Lego_73_low_jpeg.rf.bf207a14dd8d49e9b00aae2e1a8886e1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [62, 203, 130, 297], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [229, 43, 304, 146], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [187, 239, 259, 336], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [201, 452, 259, 558], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [105, 517, 182, 616], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [36, 678, 135, 787], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [234, 667, 319, 738], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [198, 763, 301, 825], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [185, 811, 287, 858], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [128, 840, 237, 886], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [159, 938, 248, 1000], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [399, 41, 497, 114], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [454, 271, 550, 329], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [413, 427, 483, 536], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [379, 630, 476, 689], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [387, 681, 467, 773], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [408, 728, 485, 811], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [386, 808, 469, 878], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [493, 797, 567, 862], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [526, 850, 622, 946], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [570, 779, 653, 850], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [527, 535, 603, 623], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [592, 588, 653, 691], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [546, 392, 626, 484], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [588, 427, 653, 530], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [608, 294, 659, 410], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [703, 93, 805, 169], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [715, 396, 758, 498], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [720, 632, 783, 732], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [706, 847, 790, 931], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [770, 892, 836, 970], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [637, 938, 726, 1000], \"label\": \"lego 4x1 brick\"}\n]\n```", "correct": true, "input_tokens": 1244, "output_tokens": 5477, "elapsed_seconds": 43.80949862499256, "metadata": {"match_method": "map", "num_predictions": 32, "num_ground_truth": 32, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8523102402687073, "attempts": 1, "retries": 0, "total_seconds": 43.8743}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 68, "image": "IMG_6646_jpeg_jpg.rf.bb15616ff058bc9ba8f9683f61ab5fbb.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [311, 528, 372, 710], \"label\": \"green poker chip\"},\n {\"box_2d\": [345, 336, 412, 506], \"label\": \"green poker chip\"},\n {\"box_2d\": [349, 531, 389, 706], \"label\": \"green poker chip\"},\n {\"box_2d\": [360, 530, 405, 705], \"label\": \"green poker chip\"},\n {\"box_2d\": [378, 531, 422, 706], \"label\": \"green poker chip\"},\n {\"box_2d\": [387, 338, 427, 507], \"label\": \"green poker chip\"},\n {\"box_2d\": [393, 532, 439, 706], \"label\": \"green poker chip\"},\n {\"box_2d\": [403, 341, 444, 511], \"label\": \"green poker chip\"},\n {\"box_2d\": [408, 531, 455, 704], \"label\": \"green poker chip\"},\n {\"box_2d\": [419, 344, 461, 515], \"label\": \"green poker chip\"},\n {\"box_2d\": [421, 531, 469, 701], \"label\": \"green poker chip\"},\n {\"box_2d\": [432, 346, 476, 516], \"label\": \"green poker chip\"},\n {\"box_2d\": [434, 530, 484, 699], \"label\": \"green poker chip\"},\n {\"box_2d\": [448, 348, 493, 512], \"label\": \"green poker chip\"},\n {\"box_2d\": [449, 530, 500, 696], \"label\": \"green poker chip\"},\n {\"box_2d\": [454, 342, 511, 509], \"label\": \"green poker chip\"},\n {\"box_2d\": [461, 549, 521, 718], \"label\": \"green poker chip\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 2147, "elapsed_seconds": 16.591147958068177, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 17, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 16.6104}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 69, "image": "41_jpg.rf.2cb4080a10f215e4bd4d6ed6d4ea3e68.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [27, 385, 86, 622], \"label\": \"blood sample tube\"},\n {\"box_2d\": [20, 621, 83, 866], \"label\": \"blood sample tube\"},\n {\"box_2d\": [77, 386, 144, 622], \"label\": \"blood sample tube\"},\n {\"box_2d\": [77, 626, 141, 875], \"label\": \"blood sample tube\"},\n {\"box_2d\": [134, 466, 200, 709], \"label\": \"blood sample tube\"},\n {\"box_2d\": [175, 631, 274, 886], \"label\": \"blood sample tube\"},\n {\"box_2d\": [90, 329, 346, 513], \"label\": \"blood sample tube\"},\n {\"box_2d\": [235, 240, 545, 324], \"label\": \"blood sample tube\"},\n {\"box_2d\": [465, 180, 704, 383], \"label\": \"blood sample tube\"},\n {\"box_2d\": [549, 336, 732, 560], \"label\": \"blood sample tube\"},\n {\"box_2d\": [555, 417, 735, 643], \"label\": \"blood sample tube\"},\n {\"box_2d\": [336, 376, 603, 550], \"label\": \"blood sample tube\"},\n {\"box_2d\": [355, 475, 646, 622], \"label\": \"blood sample tube\"},\n {\"box_2d\": [231, 496, 536, 619], \"label\": \"blood sample tube\"},\n {\"box_2d\": [304, 616, 606, 750], \"label\": \"blood sample tube\"},\n {\"box_2d\": [395, 636, 684, 789], \"label\": \"blood sample tube\"},\n {\"box_2d\": [366, 725, 681, 845], \"label\": \"blood sample tube\"},\n {\"box_2d\": [345, 830, 682, 888], \"label\": \"blood sample tube\"},\n {\"box_2d\": [354, 878, 686, 929], \"label\": \"blood sample tube\"},\n {\"box_2d\": [25, 867, 355, 920], \"label\": \"blood sample tube\"},\n {\"box_2d\": [677, 673, 738, 928], \"label\": \"blood sample tube\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 2199, "elapsed_seconds": 16.536832749960013, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 21, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 16.5588}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 70, "image": "construction-safety_ppe_0710_jpg.rf.d335438ef5819cfad67cee1d9e8c6eab.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [172, 46, 892, 184], \"label\": \"person\"},\n {\"box_2d\": [228, 151, 892, 279], \"label\": \"person\"},\n {\"box_2d\": [191, 248, 829, 349], \"label\": \"person\"},\n {\"box_2d\": [222, 315, 868, 443], \"label\": \"person\"},\n {\"box_2d\": [223, 434, 839, 567], \"label\": \"person\"},\n {\"box_2d\": [281, 543, 891, 675], \"label\": \"person\"},\n {\"box_2d\": [211, 650, 860, 797], \"label\": \"person\"},\n {\"box_2d\": [224, 738, 956, 927], \"label\": \"person\"},\n {\"box_2d\": [170, 102, 232, 163], \"label\": \"safety helmet\"},\n {\"box_2d\": [224, 177, 297, 245], \"label\": \"safety helmet\"},\n {\"box_2d\": [191, 277, 245, 329], \"label\": \"safety helmet\"},\n {\"box_2d\": [218, 346, 275, 403], \"label\": \"safety helmet\"},\n {\"box_2d\": [221, 462, 281, 519], \"label\": \"safety helmet\"},\n {\"box_2d\": [279, 570, 336, 626], \"label\": \"safety helmet\"},\n {\"box_2d\": [211, 697, 267, 754], \"label\": \"safety helmet\"},\n {\"box_2d\": [223, 783, 296, 858], \"label\": \"safety helmet\"},\n {\"box_2d\": [282, 74, 513, 179], \"label\": \"safety vest\"},\n {\"box_2d\": [343, 168, 586, 276], \"label\": \"safety vest\"},\n {\"box_2d\": [301, 256, 509, 343], \"label\": \"safety vest\"},\n {\"box_2d\": [328, 323, 557, 427], \"label\": \"safety vest\"},\n {\"box_2d\": [327, 448, 542, 549], \"label\": \"safety vest\"},\n {\"box_2d\": [388, 553, 622, 654], \"label\": \"safety vest\"},\n {\"box_2d\": [318, 667, 526, 785], \"label\": \"safety vest\"},\n {\"box_2d\": [336, 761, 572, 897], \"label\": \"safety vest\"}\n]\n```", "correct": true, "input_tokens": 1222, "output_tokens": 1686, "elapsed_seconds": 13.527676249970682, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 24, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 13.577}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 71, "image": "4103456_ContLeftUpper_f_jpg.rf.6635963edc568c350879157eaf0b4b06.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [389, 17, 419, 40], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [445, 17, 478, 40], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [543, 18, 567, 42], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [533, 97, 560, 126], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [368, 177, 417, 203], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [429, 178, 482, 204], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [522, 179, 583, 206], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [360, 257, 395, 282], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [416, 258, 465, 283], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [556, 260, 577, 286], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [362, 337, 395, 362], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [418, 338, 456, 363], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [556, 340, 576, 365], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [352, 417, 386, 443], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [434, 419, 465, 444], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [350, 498, 394, 524], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [397, 738, 439, 761], \"label\": \"shipping container wall dent\"}\n]\n```", "correct": false, "input_tokens": 1255, "output_tokens": 2323, "elapsed_seconds": 21.110237499931827, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 20, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6225247383117676, "attempts": 1, "retries": 0, "total_seconds": 21.1956}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 72, "image": "V000087_0_0-Drive-Shaft_jpeg_jpg.rf.148a90e2fb96f98fb22ea082d09655d1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [171, 349, 215, 448], \"label\": \"surface roughness symbol\"},\n {\"box_2d\": [164, 434, 222, 498], \"label\": \"dimension annotation\"},\n {\"box_2d\": [169, 492, 240, 566], \"label\": \"dimension annotation\"},\n {\"box_2d\": [184, 545, 222, 631], \"label\": \"dimension annotation\"},\n {\"box_2d\": [244, 489, 291, 553], \"label\": \"dimension annotation\"},\n {\"box_2d\": [262, 549, 291, 666], \"label\": \"dimension annotation\"},\n {\"box_2d\": [268, 312, 322, 434], \"label\": \"dimension annotation\"},\n {\"box_2d\": [259, 432, 322, 578], \"label\": \"dimension annotation\"},\n {\"box_2d\": [156, 673, 267, 814], \"label\": \"dimension annotation\"},\n {\"box_2d\": [145, 756, 286, 906], \"label\": \"dimension annotation\"},\n {\"box_2d\": [485, 215, 541, 578], \"label\": \"dimension annotation\"},\n {\"box_2d\": [436, 576, 476, 628], \"label\": \"dimension annotation\"},\n {\"box_2d\": [471, 576, 517, 628], \"label\": \"dimension annotation\"},\n {\"box_2d\": [428, 435, 485, 670], \"label\": \"dimension annotation\"},\n {\"box_2d\": [800, 94, 967, 954], \"label\": \"technical drawing table\"}\n]\n```", "correct": false, "input_tokens": 1237, "output_tokens": 1795, "elapsed_seconds": 15.794673416996375, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.666666567325592, "attempts": 1, "retries": 0, "total_seconds": 15.8085}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 73, "image": "1_000290_png.rf.2ed72f4c5f09c4e50e5326dbdb424cd7.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [95, 772, 108, 796], \"label\": \"tire spike normal\"},\n {\"box_2d\": [80, 564, 90, 591], \"label\": \"tire spike normal\"},\n {\"box_2d\": [134, 746, 148, 773], \"label\": \"tire spike normal\"},\n {\"box_2d\": [158, 647, 172, 677], \"label\": \"tire spike normal\"},\n {\"box_2d\": [134, 353, 146, 378], \"label\": \"tire spike normal\"},\n {\"box_2d\": [114, 259, 127, 286], \"label\": \"tire spike normal\"},\n {\"box_2d\": [217, 273, 232, 300], \"label\": \"tire spike normal\"},\n {\"box_2d\": [206, 429, 219, 458], \"label\": \"tire spike normal\"},\n {\"box_2d\": [236, 564, 251, 594], \"label\": \"tire spike normal\"},\n {\"box_2d\": [248, 723, 265, 754], \"label\": \"tire spike normal\"},\n {\"box_2d\": [297, 495, 313, 525], \"label\": \"tire spike normal\"},\n {\"box_2d\": [301, 216, 319, 245], \"label\": \"tire spike normal\"},\n {\"box_2d\": [337, 778, 358, 809], \"label\": \"tire spike normal\"},\n {\"box_2d\": [381, 365, 398, 396], \"label\": \"tire spike normal\"},\n {\"box_2d\": [424, 622, 442, 655], \"label\": \"tire spike normal\"},\n {\"box_2d\": [450, 397, 468, 428], \"label\": \"tire spike normal\"},\n {\"box_2d\": [455, 199, 476, 231], \"label\": \"tire spike normal\"},\n {\"box_2d\": [494, 589, 517, 624], \"label\": \"tire spike normal\"},\n {\"box_2d\": [498, 787, 521, 820], \"label\": \"tire spike normal\"},\n {\"box_2d\": [536, 246, 559, 279], \"label\": \"tire spike normal\"},\n {\"box_2d\": [584, 738, 608, 772], \"label\": \"tire spike normal\"},\n {\"box_2d\": [654, 171, 678, 202], \"label\": \"tire spike normal\"},\n {\"box_2d\": [642, 413, 665, 448], \"label\": \"tire spike absent\"},\n {\"box_2d\": [696, 566, 717, 597], \"label\": \"tire spike normal\"},\n {\"box_2d\": [706, 814, 729, 847], \"label\": \"tire spike normal\"},\n {\"box_2d\": [759, 204, 781, 233], \"label\": \"tire spike normal\"},\n {\"box_2d\": [826, 317, 848, 349], \"label\": \"tire spike normal\"},\n {\"box_2d\": [814, 782, 840, 815], \"label\": \"tire spike normal\"},\n {\"box_2d\": [881, 667, 902, 699], \"label\": \"tire spike normal\"},\n {\"box_2d\": [891, 488, 916, 522], \"label\": \"tire spike normal\"}\n]\n```", "correct": false, "input_tokens": 1215, "output_tokens": 2845, "elapsed_seconds": 27.892605250002816, "metadata": {"match_method": "map", "num_predictions": 30, "num_ground_truth": 35, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.40146154165267944, "attempts": 1, "retries": 0, "total_seconds": 27.9423}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 74, "image": "GP010212_JPG_jpg.rf.6a034cdac286be2f0a162b6bfc04e1c0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [231, 498, 272, 719], \"label\": \"carrot\"},\n {\"box_2d\": [255, 448, 311, 608], \"label\": \"carrot\"},\n {\"box_2d\": [256, 200, 366, 383], \"label\": \"carrot\"},\n {\"box_2d\": [269, 230, 378, 439], \"label\": \"carrot\"},\n {\"box_2d\": [280, 506, 369, 680], \"label\": \"carrot\"},\n {\"box_2d\": [322, 486, 391, 647], \"label\": \"carrot\"},\n {\"box_2d\": [339, 430, 412, 583], \"label\": \"carrot\"},\n {\"box_2d\": [298, 673, 453, 703], \"label\": \"carrot\"},\n {\"box_2d\": [380, 525, 442, 686], \"label\": \"carrot\"},\n {\"box_2d\": [364, 250, 408, 488], \"label\": \"carrot\"},\n {\"box_2d\": [397, 327, 434, 505], \"label\": \"carrot\"},\n {\"box_2d\": [428, 367, 455, 514], \"label\": \"carrot\"},\n {\"box_2d\": [453, 444, 488, 650], \"label\": \"carrot\"},\n {\"box_2d\": [455, 406, 522, 567], \"label\": \"carrot\"},\n {\"box_2d\": [427, 286, 519, 495], \"label\": \"carrot\"},\n {\"box_2d\": [470, 288, 525, 456], \"label\": \"carrot\"},\n {\"box_2d\": [355, 95, 492, 255], \"label\": \"carrot\"},\n {\"box_2d\": [373, 184, 502, 286], \"label\": \"carrot\"},\n {\"box_2d\": [497, 108, 634, 236], \"label\": \"carrot\"},\n {\"box_2d\": [478, 209, 622, 353], \"label\": \"carrot\"},\n {\"box_2d\": [628, 209, 670, 428], \"label\": \"carrot\"},\n {\"box_2d\": [533, 302, 659, 491], \"label\": \"carrot\"},\n {\"box_2d\": [530, 333, 588, 584], \"label\": \"carrot\"},\n {\"box_2d\": [522, 427, 553, 591], \"label\": \"carrot\"},\n {\"box_2d\": [488, 616, 569, 808], \"label\": \"carrot\"},\n {\"box_2d\": [573, 527, 611, 725], \"label\": \"carrot\"},\n {\"box_2d\": [608, 558, 642, 723], \"label\": \"carrot\"},\n {\"box_2d\": [628, 525, 684, 769], \"label\": \"carrot\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 2980, "elapsed_seconds": 23.925765207968652, "metadata": {"match_method": "map", "num_predictions": 28, "num_ground_truth": 28, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 23.9511}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 75, "image": "egg-detection_image25_jpg.rf.5c4d3f7ce6887203cc33b5f86e849ef9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [74, 751, 144, 797], \"label\": \"egg\"},\n {\"box_2d\": [89, 798, 158, 840], \"label\": \"egg\"},\n {\"box_2d\": [114, 715, 185, 764], \"label\": \"egg\"},\n {\"box_2d\": [242, 395, 329, 453], \"label\": \"egg\"},\n {\"box_2d\": [264, 689, 350, 751], \"label\": \"egg\"},\n {\"box_2d\": [288, 810, 362, 855], \"label\": \"egg\"},\n {\"box_2d\": [324, 661, 403, 712], \"label\": \"egg\"},\n {\"box_2d\": [373, 581, 466, 632], \"label\": \"egg\"},\n {\"box_2d\": [398, 809, 472, 854], \"label\": \"egg\"},\n {\"box_2d\": [495, 444, 579, 505], \"label\": \"egg\"},\n {\"box_2d\": [563, 521, 646, 580], \"label\": \"egg\"},\n {\"box_2d\": [616, 485, 718, 533], \"label\": \"egg\"},\n {\"box_2d\": [684, 430, 761, 489], \"label\": \"egg\"},\n {\"box_2d\": [855, 601, 932, 654], \"label\": \"egg\"},\n {\"box_2d\": [846, 677, 920, 731], \"label\": \"egg\"},\n {\"box_2d\": [889, 710, 962, 756], \"label\": \"egg\"},\n {\"box_2d\": [835, 745, 905, 790], \"label\": \"egg\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 1705, "elapsed_seconds": 15.980603000032715, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 17, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 16.0699}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 76, "image": "94D76C4A-9650-486B-8278-406A692F552F_jpg.rf.441749660b1bde146bfdbfa517d4e058.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [731, 204, 779, 249], \"label\": \"pill\"},\n {\"box_2d\": [614, 343, 661, 390], \"label\": \"pill\"},\n {\"box_2d\": [602, 658, 650, 706], \"label\": \"pill\"},\n {\"box_2d\": [525, 301, 571, 348], \"label\": \"pill\"},\n {\"box_2d\": [512, 403, 559, 450], \"label\": \"pill\"},\n {\"box_2d\": [499, 485, 545, 532], \"label\": \"pill\"},\n {\"box_2d\": [485, 574, 531, 621], \"label\": \"pill\"},\n {\"box_2d\": [496, 632, 543, 680], \"label\": \"pill\"},\n {\"box_2d\": [454, 675, 500, 722], \"label\": \"pill\"},\n {\"box_2d\": [444, 585, 490, 632], \"label\": \"pill\"},\n {\"box_2d\": [451, 517, 496, 562], \"label\": \"pill\"},\n {\"box_2d\": [423, 550, 469, 595], \"label\": \"pill\"},\n {\"box_2d\": [408, 509, 453, 555], \"label\": \"pill\"},\n {\"box_2d\": [415, 425, 461, 471], \"label\": \"pill\"},\n {\"box_2d\": [384, 456, 430, 501], \"label\": \"pill\"},\n {\"box_2d\": [468, 329, 513, 376], \"label\": \"pill\"},\n {\"box_2d\": [469, 281, 514, 327], \"label\": \"pill\"},\n {\"box_2d\": [432, 237, 478, 282], \"label\": \"pill\"},\n {\"box_2d\": [426, 285, 471, 331], \"label\": \"pill\"},\n {\"box_2d\": [403, 359, 450, 405], \"label\": \"pill\"},\n {\"box_2d\": [386, 300, 431, 346], \"label\": \"pill\"},\n {\"box_2d\": [364, 338, 409, 384], \"label\": \"pill\"},\n {\"box_2d\": [345, 274, 391, 320], \"label\": \"pill\"},\n {\"box_2d\": [322, 433, 368, 479], \"label\": \"pill\"},\n {\"box_2d\": [309, 474, 355, 520], \"label\": \"pill\"},\n {\"box_2d\": [321, 518, 366, 564], \"label\": \"pill\"},\n {\"box_2d\": [361, 498, 406, 543], \"label\": \"pill\"},\n {\"box_2d\": [360, 541, 405, 587], \"label\": \"pill\"},\n {\"box_2d\": [386, 579, 432, 625], \"label\": \"pill\"},\n {\"box_2d\": [387, 625, 433, 671], \"label\": \"pill\"},\n {\"box_2d\": [408, 667, 453, 714], \"label\": \"pill\"},\n {\"box_2d\": [361, 707, 407, 755], \"label\": \"pill\"},\n {\"box_2d\": [343, 639, 389, 686], \"label\": \"pill\"},\n {\"box_2d\": [317, 590, 363, 637], \"label\": \"pill\"},\n {\"box_2d\": [299, 660, 346, 707], \"label\": \"pill\"},\n {\"box_2d\": [269, 605, 316, 651], \"label\": \"pill\"},\n {\"box_2d\": [263, 561, 309, 607], \"label\": \"pill\"},\n {\"box_2d\": [268, 461, 313, 507], \"label\": \"pill\"},\n {\"box_2d\": [234, 435, 280, 481], \"label\": \"pill\"},\n {\"box_2d\": [195, 357, 241, 403], \"label\": \"pill\"},\n {\"box_2d\": [189, 412, 234, 459], \"label\": \"pill\"},\n {\"box_2d\": [181, 490, 227, 535], \"label\": \"pill\"},\n {\"box_2d\": [162, 577, 208, 622], \"label\": \"pill\"},\n {\"box_2d\": [165, 621, 211, 667], \"label\": \"pill\"},\n {\"box_2d\": [197, 660, 244, 707], \"label\": \"pill\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 4019, "elapsed_seconds": 36.449069708934985, "metadata": {"match_method": "map", "num_predictions": 45, "num_ground_truth": 45, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 36.7618}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 77, "image": "IMG_3989_JPG.rf.c4cc3b74f996b28db8e9373b455775a3.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [415, 412, 447, 429], \"label\": \"face\"},\n {\"box_2d\": [304, 382, 330, 395], \"label\": \"face\"},\n {\"box_2d\": [304, 332, 328, 344], \"label\": \"face\"},\n {\"box_2d\": [401, 598, 422, 611], \"label\": \"face\"},\n {\"box_2d\": [270, 460, 290, 471], \"label\": \"face\"},\n {\"box_2d\": [206, 311, 226, 322], \"label\": \"face\"},\n {\"box_2d\": [214, 337, 233, 347], \"label\": \"face\"},\n {\"box_2d\": [201, 277, 221, 288], \"label\": \"face\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 1471, "elapsed_seconds": 18.225182667025365, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6633663177490234, "attempts": 1, "retries": 0, "total_seconds": 18.5401}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 78, "image": "basketball-player-detection_boston-celtics-new-york-knicks-game-4-q1-01-22-01-16-0112_png.rf.813de841eef35ee5de0aa209e2d3e51f.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [220, 224, 252, 244], \"label\": \"basketball\"},\n {\"box_2d\": [289, 177, 597, 228], \"label\": \"player taking jump shot\"},\n {\"box_2d\": [289, 177, 597, 228], \"label\": \"player\"},\n {\"box_2d\": [296, 217, 581, 319], \"label\": \"player\"},\n {\"box_2d\": [606, 251, 880, 315], \"label\": \"player\"},\n {\"box_2d\": [515, 400, 769, 453], \"label\": \"player\"},\n {\"box_2d\": [291, 353, 491, 412], \"label\": \"player\"},\n {\"box_2d\": [231, 304, 413, 356], \"label\": \"player\"},\n {\"box_2d\": [281, 591, 463, 634], \"label\": \"player\"},\n {\"box_2d\": [221, 610, 376, 646], \"label\": \"player\"},\n {\"box_2d\": [513, 722, 728, 787], \"label\": \"player\"},\n {\"box_2d\": [626, 819, 821, 871], \"label\": \"player\"},\n {\"box_2d\": [245, 0, 434, 45], \"label\": \"referee\"},\n {\"box_2d\": [688, 576, 868, 623], \"label\": \"referee\"},\n {\"box_2d\": [269, 768, 460, 801], \"label\": \"referee\"},\n {\"box_2d\": [225, 713, 282, 754], \"label\": \"basket rim\"},\n {\"box_2d\": [406, 181, 433, 189], \"label\": \"jersey number\"},\n {\"box_2d\": [396, 263, 416, 278], \"label\": \"jersey number\"},\n {\"box_2d\": [677, 278, 706, 290], \"label\": \"jersey number\"},\n {\"box_2d\": [333, 379, 358, 389], \"label\": \"jersey number\"},\n {\"box_2d\": [555, 430, 583, 444], \"label\": \"jersey number\"},\n {\"box_2d\": [273, 627, 293, 634], \"label\": \"jersey number\"},\n {\"box_2d\": [569, 753, 591, 764], \"label\": \"jersey number\"},\n {\"box_2d\": [691, 839, 722, 853], \"label\": \"jersey number\"},\n {\"box_2d\": [742, 596, 767, 609], \"label\": \"jersey number\"}\n]\n```", "correct": false, "input_tokens": 1251, "output_tokens": 2649, "elapsed_seconds": 24.159692166023888, "metadata": {"match_method": "map", "num_predictions": 25, "num_ground_truth": 25, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7836633324623108, "attempts": 1, "retries": 0, "total_seconds": 24.2541}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 79, "image": "Screenshot-2024-05-16-150258_png.rf.730fbfcbd2cdbb24d8003d2a2cd88782.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [64, 15, 96, 44], \"label\": \"bullet hole\"},\n {\"box_2d\": [110, 100, 143, 134], \"label\": \"bullet hole\"},\n {\"box_2d\": [169, 192, 200, 226], \"label\": \"bullet hole\"},\n {\"box_2d\": [184, 344, 213, 378], \"label\": \"bullet hole\"},\n {\"box_2d\": [250, 480, 279, 513], \"label\": \"bullet hole\"},\n {\"box_2d\": [0, 608, 25, 643], \"label\": \"bullet hole\"},\n {\"box_2d\": [336, 0, 366, 24], \"label\": \"bullet hole\"},\n {\"box_2d\": [438, 222, 469, 254], \"label\": \"bullet hole\"},\n {\"box_2d\": [699, 415, 731, 452], \"label\": \"bullet hole\"},\n {\"box_2d\": [876, 353, 905, 390], \"label\": \"bullet hole\"},\n {\"box_2d\": [982, 182, 1000, 216], \"label\": \"bullet hole\"},\n {\"box_2d\": [660, 686, 691, 718], \"label\": \"bullet hole\"},\n {\"box_2d\": [901, 610, 931, 644], \"label\": \"bullet hole\"},\n {\"box_2d\": [720, 894, 754, 929], \"label\": \"bullet hole\"},\n {\"box_2d\": [818, 847, 848, 880], \"label\": \"bullet hole\"},\n {\"box_2d\": [831, 930, 862, 962], \"label\": \"bullet hole\"},\n {\"box_2d\": [919, 920, 949, 954], \"label\": \"bullet hole\"},\n {\"box_2d\": [57, 766, 90, 801], \"label\": \"bullet hole\"},\n {\"box_2d\": [106, 896, 138, 929], \"label\": \"bullet hole\"},\n {\"box_2d\": [141, 816, 175, 851], \"label\": \"bullet hole\"},\n {\"box_2d\": [159, 684, 192, 718], \"label\": \"bullet hole\"},\n {\"box_2d\": [236, 739, 274, 776], \"label\": \"bullet hole\"},\n {\"box_2d\": [233, 903, 268, 943], \"label\": \"bullet hole\"},\n {\"box_2d\": [326, 799, 361, 838], \"label\": \"bullet hole\"},\n {\"box_2d\": [351, 976, 383, 1000], \"label\": \"bullet hole\"},\n {\"box_2d\": [399, 725, 431, 767], \"label\": \"bullet hole\"},\n {\"box_2d\": [452, 818, 483, 855], \"label\": \"bullet hole\"},\n {\"box_2d\": [434, 620, 465, 656], \"label\": \"bullet hole\"},\n {\"box_2d\": [484, 696, 518, 735], \"label\": \"bullet hole\"},\n {\"box_2d\": [528, 788, 560, 830], \"label\": \"bullet hole\"}\n]\n```", "correct": false, "input_tokens": 1226, "output_tokens": 2892, "elapsed_seconds": 24.352685541962273, "metadata": {"match_method": "map", "num_predictions": 30, "num_ground_truth": 30, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5964796543121338, "attempts": 1, "retries": 0, "total_seconds": 24.3643}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 80, "image": "AF6880-9_2025_NCPT-128_JPG_jpg.rf.58feab8edece278692e9ee124939da54.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [218, 196, 297, 224], \"label\": \"potato\"},\n {\"box_2d\": [436, 193, 505, 222], \"label\": \"potato\"},\n {\"box_2d\": [505, 195, 576, 225], \"label\": \"potato\"},\n {\"box_2d\": [573, 189, 643, 222], \"label\": \"potato\"},\n {\"box_2d\": [645, 184, 733, 224], \"label\": \"potato\"},\n {\"box_2d\": [729, 190, 845, 234], \"label\": \"potato\"},\n {\"box_2d\": [31, 249, 87, 268], \"label\": \"potato\"},\n {\"box_2d\": [264, 242, 351, 267], \"label\": \"potato\"},\n {\"box_2d\": [415, 232, 517, 272], \"label\": \"potato\"},\n {\"box_2d\": [571, 228, 653, 268], \"label\": \"potato\"},\n {\"box_2d\": [906, 223, 1000, 267], \"label\": \"potato\"},\n {\"box_2d\": [151, 283, 242, 317], \"label\": \"potato\"},\n {\"box_2d\": [302, 279, 381, 310], \"label\": \"potato\"},\n {\"box_2d\": [379, 274, 469, 316], \"label\": \"potato\"},\n {\"box_2d\": [493, 273, 586, 311], \"label\": \"potato\"},\n {\"box_2d\": [583, 281, 640, 308], \"label\": \"potato\"},\n {\"box_2d\": [638, 273, 725, 311], \"label\": \"potato\"},\n {\"box_2d\": [854, 271, 972, 317], \"label\": \"potato\"},\n {\"box_2d\": [6, 321, 93, 360], \"label\": \"potato\"},\n {\"box_2d\": [91, 324, 171, 357], \"label\": \"potato\"},\n {\"box_2d\": [169, 325, 241, 357], \"label\": \"potato\"},\n {\"box_2d\": [240, 327, 336, 361], \"label\": \"potato\"},\n {\"box_2d\": [334, 310, 456, 359], \"label\": \"potato\"},\n {\"box_2d\": [503, 315, 596, 360], \"label\": \"potato\"},\n {\"box_2d\": [604, 316, 720, 364], \"label\": \"potato\"},\n {\"box_2d\": [715, 316, 795, 352], \"label\": \"potato\"},\n {\"box_2d\": [793, 320, 904, 363], \"label\": \"potato\"},\n {\"box_2d\": [909, 321, 987, 352], \"label\": \"potato\"},\n {\"box_2d\": [27, 377, 83, 401], \"label\": \"potato\"},\n {\"box_2d\": [80, 367, 172, 406], \"label\": \"potato\"},\n {\"box_2d\": [169, 356, 296, 407], \"label\": \"potato\"},\n {\"box_2d\": [318, 358, 423, 406], \"label\": \"potato\"},\n {\"box_2d\": [419, 351, 527, 403], \"label\": \"potato\"},\n {\"box_2d\": [527, 366, 612, 403], \"label\": \"potato\"},\n {\"box_2d\": [729, 364, 842, 400], \"label\": \"potato\"},\n {\"box_2d\": [835, 368, 900, 391], \"label\": \"potato\"},\n {\"box_2d\": [8, 424, 39, 442], \"label\": \"potato\"},\n {\"box_2d\": [31, 408, 152, 456], \"label\": \"potato\"},\n {\"box_2d\": [153, 407, 263, 447], \"label\": \"potato\"},\n {\"box_2d\": [279, 419, 318, 439], \"label\": \"potato\"},\n {\"box_2d\": [313, 409, 406, 445], \"label\": \"potato\"},\n {\"box_2d\": [442, 407, 552, 453], \"label\": \"potato\"},\n {\"box_2d\": [666, 404, 784, 449], \"label\": \"potato\"},\n {\"box_2d\": [780, 409, 844, 437], \"label\": \"potato\"},\n {\"box_2d\": [841, 409, 928, 441], \"label\": \"potato\"},\n {\"box_2d\": [71, 466, 113, 487], \"label\": \"potato\"},\n {\"box_2d\": [108, 455, 200, 490], \"label\": \"potato\"},\n {\"box_2d\": [266, 450, 366, 492], \"label\": \"potato\"},\n {\"box_2d\": [407, 447, 509, 491], \"label\": \"potato\"},\n {\"box_2d\": [506, 451, 582, 488], \"label\": \"potato\"},\n {\"box_2d\": [579, 450, 688, 495], \"label\": \"potato\"},\n {\"box_2d\": [686, 447, 791, 490], \"label\": \"potato\"},\n {\"box_2d\": [825, 446, 924, 486], \"label\": \"potato\"},\n {\"box_2d\": [932, 451, 1000, 485], \"label\": \"potato\"},\n {\"box_2d\": [39, 503, 124, 538], \"label\": \"potato\"},\n {\"box_2d\": [122, 499, 217, 541], \"label\": \"potato\"},\n {\"box_2d\": [257, 502, 344, 539], \"label\": \"potato\"},\n {\"box_2d\": [363, 495, 467, 535], \"label\": \"potato\"},\n {\"box_2d\": [467, 499, 555, 533], \"label\": \"potato\"},\n {\"box_2d\": [559, 496, 642, 528], \"label\": \"potato\"},\n {\"box_2d\": [842, 485, 951, 532], \"label\": \"potato\"},\n {\"box_2d\": [0, 539, 113, 591], \"label\": \"potato\"},\n {\"box_2d\": [111, 542, 220, 591], \"label\": \"potato\"},\n {\"box_2d\": [213, 548, 290, 578], \"label\": \"potato\"},\n {\"box_2d\": [288, 546, 374, 577], \"label\": \"potato\"},\n {\"box_2d\": [391, 541, 494, 578], \"label\": \"potato\"},\n {\"box_2d\": [497, 532, 615, 575], \"label\": \"potato\"},\n {\"box_2d\": [688, 539, 797, 583], \"label\": \"potato\"},\n {\"box_2d\": [3, 589, 111, 634], \"label\": \"potato\"},\n {\"box_2d\": [123, 588, 221, 631], \"label\": \"potato\"},\n {\"box_2d\": [400, 588, 505, 624], \"label\": \"potato\"},\n {\"box_2d\": [886, 583, 970, 613], \"label\": \"potato\"},\n {\"box_2d\": [39, 630, 138, 669], \"label\": \"potato\"},\n {\"box_2d\": [493, 626, 600, 661], \"label\": \"potato\"},\n {\"box_2d\": [608, 630, 715, 665], \"label\": \"potato\"},\n {\"box_2d\": [217, 670, 332, 717], \"label\": \"potato\"},\n {\"box_2d\": [511, 679, 572, 703], \"label\": \"potato\"},\n {\"box_2d\": [774, 675, 837, 698], \"label\": \"potato\"},\n {\"box_2d\": [94, 722, 158, 750], \"label\": \"potato\"},\n {\"box_2d\": [210, 720, 304, 756], \"label\": \"potato\"},\n {\"box_2d\": [479, 707, 581, 747], \"label\": \"potato\"},\n {\"box_2d\": [117, 760, 236, 811], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 5705, "elapsed_seconds": 54.051095749950036, "metadata": {"match_method": "map", "num_predictions": 82, "num_ground_truth": 82, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 54.5312}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 81, "image": "GP010253_JPG_jpg.rf.617173565602dbb2684e6af5ddab9032.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [51, 539, 179, 871], \"label\": \"carrot\"},\n {\"box_2d\": [143, 559, 206, 855], \"label\": \"carrot\"},\n {\"box_2d\": [156, 403, 270, 695], \"label\": \"carrot\"},\n {\"box_2d\": [182, 412, 304, 709], \"label\": \"carrot\"},\n {\"box_2d\": [177, 355, 358, 495], \"label\": \"carrot\"},\n {\"box_2d\": [185, 396, 333, 513], \"label\": \"carrot\"},\n {\"box_2d\": [279, 383, 467, 571], \"label\": \"carrot\"},\n {\"box_2d\": [194, 725, 294, 862], \"label\": \"carrot\"},\n {\"box_2d\": [283, 509, 405, 774], \"label\": \"carrot\"},\n {\"box_2d\": [304, 486, 463, 790], \"label\": \"carrot\"},\n {\"box_2d\": [312, 608, 439, 799], \"label\": \"carrot\"},\n {\"box_2d\": [448, 307, 637, 369], \"label\": \"carrot\"},\n {\"box_2d\": [484, 349, 558, 560], \"label\": \"carrot\"},\n {\"box_2d\": [486, 429, 667, 526], \"label\": \"carrot\"},\n {\"box_2d\": [519, 437, 767, 496], \"label\": \"carrot\"},\n {\"box_2d\": [568, 522, 791, 572], \"label\": \"carrot\"},\n {\"box_2d\": [457, 543, 738, 625], \"label\": \"carrot\"},\n {\"box_2d\": [559, 613, 813, 655], \"label\": \"carrot\"},\n {\"box_2d\": [635, 626, 840, 716], \"label\": \"carrot\"},\n {\"box_2d\": [549, 690, 813, 756], \"label\": \"carrot\"},\n {\"box_2d\": [415, 726, 645, 800], \"label\": \"carrot\"},\n {\"box_2d\": [727, 696, 886, 869], \"label\": \"carrot\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 2904, "elapsed_seconds": 23.018049666890875, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 23.0443}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 82, "image": "1704195139272_jpg.rf.6a6621507dbbf3a3fbb417d17569c709.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [85, 661, 126, 709], \"label\": \"lentil grain\"},\n {\"box_2d\": [216, 344, 258, 385], \"label\": \"lentil grain\"},\n {\"box_2d\": [219, 567, 265, 616], \"label\": \"lentil grain\"},\n {\"box_2d\": [393, 378, 434, 421], \"label\": \"lentil grain\"},\n {\"box_2d\": [410, 561, 449, 608], \"label\": \"lentil grain\"},\n {\"box_2d\": [409, 617, 446, 662], \"label\": \"lentil grain\"},\n {\"box_2d\": [542, 421, 581, 463], \"label\": \"lentil grain\"},\n {\"box_2d\": [671, 610, 712, 656], \"label\": \"lentil grain\"},\n {\"box_2d\": [737, 388, 777, 430], \"label\": \"lentil grain\"},\n {\"box_2d\": [743, 728, 786, 778], \"label\": \"lentil grain\"},\n {\"box_2d\": [901, 402, 943, 447], \"label\": \"lentil grain\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 1132, "elapsed_seconds": 13.373768458957784, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 13.3847}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 83, "image": "preannot1_326_png.rf.9e036dcc9355b37dec6ff1b3aff71d0b.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [66, 619, 77, 638], \"label\": \"tire spike normal\"},\n {\"box_2d\": [106, 356, 118, 376], \"label\": \"tire spike normal\"},\n {\"box_2d\": [142, 326, 155, 347], \"label\": \"tire spike normal\"},\n {\"box_2d\": [167, 542, 181, 563], \"label\": \"tire spike normal\"},\n {\"box_2d\": [183, 616, 198, 639], \"label\": \"tire spike normal\"},\n {\"box_2d\": [212, 438, 226, 459], \"label\": \"tire spike normal\"},\n {\"box_2d\": [224, 665, 241, 689], \"label\": \"tire spike normal\"},\n {\"box_2d\": [229, 360, 244, 383], \"label\": \"tire spike normal\"},\n {\"box_2d\": [271, 313, 287, 336], \"label\": \"tire spike normal\"},\n {\"box_2d\": [278, 617, 295, 642], \"label\": \"tire spike normal\"},\n {\"box_2d\": [323, 657, 340, 682], \"label\": \"tire spike normal\"},\n {\"box_2d\": [329, 353, 347, 378], \"label\": \"tire spike normal\"},\n {\"box_2d\": [385, 631, 403, 658], \"label\": \"tire spike normal\"},\n {\"box_2d\": [425, 434, 443, 461], \"label\": \"tire spike normal\"},\n {\"box_2d\": [437, 326, 455, 352], \"label\": \"tire spike normal\"},\n {\"box_2d\": [491, 324, 509, 349], \"label\": \"tire spike normal\"},\n {\"box_2d\": [505, 622, 522, 647], \"label\": \"tire spike normal\"},\n {\"box_2d\": [556, 363, 574, 390], \"label\": \"tire spike normal\"},\n {\"box_2d\": [597, 549, 616, 575], \"label\": \"tire spike normal\"},\n {\"box_2d\": [608, 328, 626, 354], \"label\": \"tire spike normal\"},\n {\"box_2d\": [610, 640, 628, 667], \"label\": \"tire spike normal\"},\n {\"box_2d\": [661, 675, 680, 701], \"label\": \"tire spike normal\"},\n {\"box_2d\": [709, 424, 728, 450], \"label\": \"tire spike normal\"},\n {\"box_2d\": [723, 646, 742, 673], \"label\": \"tire spike normal\"},\n {\"box_2d\": [736, 367, 753, 392], \"label\": \"tire spike normal\"},\n {\"box_2d\": [774, 672, 792, 698], \"label\": \"tire spike normal\"},\n {\"box_2d\": [775, 315, 790, 340], \"label\": \"tire spike normal\"},\n {\"box_2d\": [832, 626, 847, 651], \"label\": \"tire spike normal\"},\n {\"box_2d\": [861, 449, 875, 471], \"label\": \"tire spike normal\"},\n {\"box_2d\": [874, 380, 887, 402], \"label\": \"tire spike normal\"}\n]\n```", "correct": false, "input_tokens": 1202, "output_tokens": 2921, "elapsed_seconds": 27.024769500014372, "metadata": {"match_method": "map", "num_predictions": 30, "num_ground_truth": 42, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7128713130950928, "attempts": 1, "retries": 0, "total_seconds": 27.125}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 84, "image": "fall-detection_cameraOne-blue-before_mp4-10_jpg.rf.e26a811f1502cc342db7badfe48642d4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [581, 550, 728, 728], \"label\": \"fallen person\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 225, "elapsed_seconds": 4.96853412501514, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 4.9853}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 85, "image": "IMG_3898_JPG.rf.7efec82c7f803d0db60f9543524df2d2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [329, 79, 422, 223], \"label\": \"100 poker chip\"},\n {\"box_2d\": [306, 221, 396, 360], \"label\": \"500 poker chip\"},\n {\"box_2d\": [362, 313, 458, 458], \"label\": \"10 poker chip\"},\n {\"box_2d\": [379, 454, 478, 602], \"label\": \"5 poker chip\"},\n {\"box_2d\": [302, 609, 394, 755], \"label\": \"100 poker chip\"},\n {\"box_2d\": [395, 603, 493, 755], \"label\": \"500 poker chip\"},\n {\"box_2d\": [354, 734, 451, 885], \"label\": \"100 poker chip\"},\n {\"box_2d\": [413, 144, 515, 297], \"label\": \"50 poker chip\"},\n {\"box_2d\": [485, 236, 595, 395], \"label\": \"20 poker chip\"},\n {\"box_2d\": [466, 391, 574, 546], \"label\": \"50 poker chip\"},\n {\"box_2d\": [551, 474, 672, 639], \"label\": \"50 poker chip\"},\n {\"box_2d\": [492, 606, 605, 769], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [594, 210, 720, 381], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [640, 359, 773, 535], \"label\": \"10 poker chip\"},\n {\"box_2d\": [751, 445, 902, 634], \"label\": \"5 poker chip\"},\n {\"box_2d\": [681, 597, 819, 780], \"label\": \"10 poker chip\"},\n {\"box_2d\": [587, 703, 715, 878], \"label\": \"10000 poker chip\"}\n]\n```", "correct": true, "input_tokens": 1252, "output_tokens": 2175, "elapsed_seconds": 23.215155457961373, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 18, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9579207897186279, "attempts": 1, "retries": 0, "total_seconds": 23.7996}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 86, "image": "2024-12-05T02-00-59-875Z-1008_jpg.rf.e6de2a9a15084a14389fc0bcc250e3a1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [311, 460, 370, 496], \"label\": \"screw\"},\n {\"box_2d\": [640, 933, 698, 976], \"label\": \"screw\"},\n {\"box_2d\": [745, 794, 805, 836], \"label\": \"screw\"},\n {\"box_2d\": [645, 827, 800, 942], \"label\": \"wire hole\"}\n]\n```", "correct": false, "input_tokens": 1203, "output_tokens": 1097, "elapsed_seconds": 15.340462333988398, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 6, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6353134512901306, "attempts": 1, "retries": 0, "total_seconds": 15.4973}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 87, "image": "IMG_20220316_165535_jpg.rf.b4968ac9965090df369ee94c30225977.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [631, 108, 975, 428], \"label\": \"ten of diamonds\"},\n {\"box_2d\": [381, 174, 710, 480], \"label\": \"king of diamonds\"},\n {\"box_2d\": [419, 471, 822, 727], \"label\": \"queen of diamonds\"},\n {\"box_2d\": [108, 309, 476, 592], \"label\": \"nine of diamonds\"},\n {\"box_2d\": [38, 539, 382, 797], \"label\": \"jack of diamonds\"}\n]\n```", "correct": true, "input_tokens": 1218, "output_tokens": 634, "elapsed_seconds": 7.551091791014187, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 7.5762}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 88, "image": "F64FE944-4E23-4E33-ABE4-44B45EEE879E_jpg.rf.4a9fc6077618a5882fd446c7da6c295e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [138, 296, 249, 353], \"label\": \"pill\"},\n {\"box_2d\": [175, 161, 281, 237], \"label\": \"pill\"},\n {\"box_2d\": [185, 236, 290, 315], \"label\": \"pill\"},\n {\"box_2d\": [182, 390, 285, 475], \"label\": \"pill\"},\n {\"box_2d\": [169, 525, 277, 598], \"label\": \"pill\"},\n {\"box_2d\": [243, 325, 324, 429], \"label\": \"pill\"},\n {\"box_2d\": [286, 152, 394, 210], \"label\": \"pill\"},\n {\"box_2d\": [275, 207, 384, 270], \"label\": \"pill\"},\n {\"box_2d\": [288, 288, 381, 384], \"label\": \"pill\"},\n {\"box_2d\": [284, 416, 390, 490], \"label\": \"pill\"},\n {\"box_2d\": [258, 486, 369, 548], \"label\": \"pill\"},\n {\"box_2d\": [299, 692, 387, 795], \"label\": \"pill\"},\n {\"box_2d\": [348, 239, 448, 323], \"label\": \"pill\"},\n {\"box_2d\": [379, 187, 486, 252], \"label\": \"pill\"},\n {\"box_2d\": [386, 274, 480, 363], \"label\": \"pill\"},\n {\"box_2d\": [359, 369, 459, 452], \"label\": \"pill\"},\n {\"box_2d\": [355, 559, 464, 620], \"label\": \"pill\"},\n {\"box_2d\": [363, 620, 471, 681], \"label\": \"pill\"},\n {\"box_2d\": [369, 840, 479, 901], \"label\": \"pill\"},\n {\"box_2d\": [432, 128, 522, 222], \"label\": \"pill\"},\n {\"box_2d\": [476, 256, 583, 315], \"label\": \"pill\"},\n {\"box_2d\": [476, 310, 582, 370], \"label\": \"pill\"},\n {\"box_2d\": [455, 376, 551, 461], \"label\": \"pill\"},\n {\"box_2d\": [487, 466, 555, 570], \"label\": \"pill\"},\n {\"box_2d\": [445, 503, 515, 608], \"label\": \"pill\"},\n {\"box_2d\": [430, 667, 517, 767], \"label\": \"pill\"},\n {\"box_2d\": [512, 127, 591, 229], \"label\": \"pill\"},\n {\"box_2d\": [506, 634, 613, 697], \"label\": \"pill\"},\n {\"box_2d\": [555, 696, 613, 807], \"label\": \"pill\"},\n {\"box_2d\": [531, 522, 616, 619], \"label\": \"pill\"},\n {\"box_2d\": [549, 390, 613, 497], \"label\": \"pill\"},\n {\"box_2d\": [588, 179, 672, 276], \"label\": \"pill\"},\n {\"box_2d\": [591, 290, 642, 397], \"label\": \"pill\"},\n {\"box_2d\": [637, 271, 675, 380], \"label\": \"pill\"},\n {\"box_2d\": [597, 459, 675, 559], \"label\": \"pill\"},\n {\"box_2d\": [576, 591, 670, 682], \"label\": \"pill\"},\n {\"box_2d\": [624, 535, 720, 621], \"label\": \"pill\"},\n {\"box_2d\": [629, 423, 717, 518], \"label\": \"pill\"},\n {\"box_2d\": [663, 358, 749, 455], \"label\": \"pill\"},\n {\"box_2d\": [679, 217, 747, 322], \"label\": \"pill\"},\n {\"box_2d\": [682, 161, 780, 246], \"label\": \"pill\"},\n {\"box_2d\": [734, 94, 797, 198], \"label\": \"pill\"},\n {\"box_2d\": [724, 298, 788, 405], \"label\": \"pill\"},\n {\"box_2d\": [781, 412, 839, 519], \"label\": \"pill\"},\n {\"box_2d\": [723, 466, 809, 565], \"label\": \"pill\"},\n {\"box_2d\": [716, 542, 809, 636], \"label\": \"pill\"},\n {\"box_2d\": [696, 631, 792, 722], \"label\": \"pill\"},\n {\"box_2d\": [691, 693, 783, 791], \"label\": \"pill\"},\n {\"box_2d\": [678, 755, 735, 867], \"label\": \"pill\"},\n {\"box_2d\": [797, 738, 893, 830], \"label\": \"pill\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 3337, "elapsed_seconds": 29.040639166953042, "metadata": {"match_method": "map", "num_predictions": 50, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 29.4576}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 89, "image": "20210326_152417_jpg.rf.49d888684dcb029777f91a35c5731fda.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [200, 125, 397, 323], \"label\": \"10 euro cent coin\"},\n {\"box_2d\": [103, 366, 326, 591], \"label\": \"20 euro cent coin\"},\n {\"box_2d\": [203, 646, 444, 889], \"label\": \"50 euro cent coin\"},\n {\"box_2d\": [420, 78, 627, 291], \"label\": \"5 euro cent coin\"},\n {\"box_2d\": [378, 396, 609, 628], \"label\": \"1 euro coin\"},\n {\"box_2d\": [515, 676, 674, 838], \"label\": \"1 euro cent coin\"},\n {\"box_2d\": [654, 235, 903, 490], \"label\": \"2 euro coin\"},\n {\"box_2d\": [723, 575, 905, 761], \"label\": \"2 euro cent coin\"}\n]\n```", "correct": true, "input_tokens": 1272, "output_tokens": 1205, "elapsed_seconds": 12.59318854205776, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 12.6163}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 90, "image": "egg-detection_image33_jpg.rf.842de73d6f921d804acd1ea8a1f28413.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [468, 427, 553, 491], \"label\": \"egg\"},\n {\"box_2d\": [746, 693, 822, 753], \"label\": \"egg\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 290, "elapsed_seconds": 6.471505000023171, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 6.577}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 91, "image": "uav20221018_ixfZ_3857_215_png.rf.8020e1329eefd7e68bf3f7c0394e8bdf.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [8, 687, 65, 730], \"label\": \"banana tree\"},\n {\"box_2d\": [49, 746, 98, 791], \"label\": \"banana tree\"},\n {\"box_2d\": [83, 687, 134, 730], \"label\": \"banana tree\"},\n {\"box_2d\": [118, 749, 173, 789], \"label\": \"banana tree\"},\n {\"box_2d\": [159, 694, 211, 744], \"label\": \"banana tree\"},\n {\"box_2d\": [189, 752, 240, 795], \"label\": \"banana tree\"},\n {\"box_2d\": [228, 689, 281, 736], \"label\": \"banana tree\"},\n {\"box_2d\": [262, 758, 312, 792], \"label\": \"banana tree\"},\n {\"box_2d\": [299, 696, 349, 748], \"label\": \"banana tree\"},\n {\"box_2d\": [337, 762, 378, 798], \"label\": \"banana tree\"},\n {\"box_2d\": [369, 699, 419, 742], \"label\": \"banana tree\"},\n {\"box_2d\": [403, 763, 450, 804], \"label\": \"banana tree\"},\n {\"box_2d\": [484, 770, 524, 804], \"label\": \"banana tree\"},\n {\"box_2d\": [522, 718, 558, 750], \"label\": \"banana tree\"},\n {\"box_2d\": [551, 773, 594, 809], \"label\": \"banana tree\"},\n {\"box_2d\": [621, 772, 661, 808], \"label\": \"banana tree\"},\n {\"box_2d\": [662, 720, 696, 754], \"label\": \"banana tree\"},\n {\"box_2d\": [690, 778, 735, 814], \"label\": \"banana tree\"},\n {\"box_2d\": [733, 722, 767, 754], \"label\": \"banana tree\"},\n {\"box_2d\": [766, 781, 801, 814], \"label\": \"banana tree\"},\n {\"box_2d\": [792, 720, 839, 766], \"label\": \"banana tree\"},\n {\"box_2d\": [836, 780, 871, 813], \"label\": \"banana tree\"},\n {\"box_2d\": [872, 725, 922, 767], \"label\": \"banana tree\"},\n {\"box_2d\": [907, 786, 945, 821], \"label\": \"banana tree\"},\n {\"box_2d\": [937, 730, 976, 766], \"label\": \"banana tree\"},\n {\"box_2d\": [42, 942, 100, 995], \"label\": \"banana tree\"},\n {\"box_2d\": [113, 947, 168, 995], \"label\": \"banana tree\"},\n {\"box_2d\": [185, 948, 232, 991], \"label\": \"banana tree\"},\n {\"box_2d\": [250, 948, 297, 996], \"label\": \"banana tree\"},\n {\"box_2d\": [318, 949, 369, 998], \"label\": \"banana tree\"},\n {\"box_2d\": [452, 956, 505, 999], \"label\": \"banana tree\"},\n {\"box_2d\": [594, 958, 646, 999], \"label\": \"banana tree\"},\n {\"box_2d\": [667, 966, 709, 999], \"label\": \"banana tree\"},\n {\"box_2d\": [734, 967, 778, 999], \"label\": \"banana tree\"},\n {\"box_2d\": [802, 972, 842, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [877, 975, 916, 1000], \"label\": \"banana tree\"}\n]\n```", "correct": false, "input_tokens": 1226, "output_tokens": 2522, "elapsed_seconds": 24.11666108306963, "metadata": {"match_method": "map", "num_predictions": 36, "num_ground_truth": 41, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7615511417388916, "attempts": 1, "retries": 0, "total_seconds": 24.1926}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 92, "image": "DJI_0151_JPG_jpg.rf.3936c799be65e9829061aeb413261c06.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [477, 342, 681, 406], \"label\": \"excavator\"},\n {\"box_2d\": [0, 631, 495, 711], \"label\": \"tower crane\"},\n {\"box_2d\": [160, 336, 212, 391], \"label\": \"dump truck\"},\n {\"box_2d\": [158, 427, 212, 487], \"label\": \"concrete mixer\"},\n {\"box_2d\": [126, 60, 173, 127], \"label\": \"concrete mixer\"}\n]\n```", "correct": true, "input_tokens": 1245, "output_tokens": 958, "elapsed_seconds": 27.945787583012134, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 28.3143}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 93, "image": "55_jpeg_jpg.rf.004155dfb8cf69dfe8eec1fad7b643e0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [65, 321, 184, 434], \"label\": \"potato\"},\n {\"box_2d\": [64, 912, 178, 999], \"label\": \"potato\"},\n {\"box_2d\": [246, 804, 385, 910], \"label\": \"potato\"},\n {\"box_2d\": [478, 520, 620, 635], \"label\": \"potato\"},\n {\"box_2d\": [478, 647, 580, 748], \"label\": \"potato\"},\n {\"box_2d\": [479, 809, 573, 909], \"label\": \"potato\"},\n {\"box_2d\": [454, 960, 550, 998], \"label\": \"potato\"},\n {\"box_2d\": [692, 350, 848, 433], \"label\": \"potato\"},\n {\"box_2d\": [706, 585, 800, 680], \"label\": \"potato\"},\n {\"box_2d\": [679, 841, 780, 920], \"label\": \"potato\"},\n {\"box_2d\": [713, 0, 798, 98], \"label\": \"potato\"},\n {\"box_2d\": [901, 369, 989, 457], \"label\": \"potato\"},\n {\"box_2d\": [885, 617, 983, 718], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1240, "output_tokens": 1054, "elapsed_seconds": 15.54842337500304, "metadata": {"match_method": "map", "num_predictions": 13, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8118811845779419, "attempts": 1, "retries": 0, "total_seconds": 15.5819}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 94, "image": "2024-12-05T02-01-39-892Z-3009_jpg.rf.22fd37099b783ab1f80e4172f8bb073a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [554, 310, 675, 413], \"label\": \"retaining clip\"},\n {\"box_2d\": [461, 493, 594, 586], \"label\": \"retaining clip\"},\n {\"box_2d\": [369, 669, 487, 767], \"label\": \"retaining clip\"},\n {\"box_2d\": [648, 636, 779, 738], \"label\": \"retaining clip\"}\n]\n```", "correct": true, "input_tokens": 1201, "output_tokens": 694, "elapsed_seconds": 11.096120708039962, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 11.3085}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 95, "image": "IMG_20251126_160341_jpg.rf.90a2111f9611ba9b2da6fb1312d0ef72.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [688, 108, 795, 178], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [689, 206, 791, 277], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [681, 297, 783, 368], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [680, 386, 779, 456], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [647, 490, 938, 563], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [662, 588, 764, 659], \"label\": \"white standard price tag\"},\n {\"box_2d\": [661, 699, 761, 772], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [654, 831, 756, 905], \"label\": \"white standard price tag\"},\n {\"box_2d\": [652, 922, 751, 995], \"label\": \"yellow standard price tag\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 1432, "elapsed_seconds": 15.102236667065881, "metadata": {"match_method": "map", "num_predictions": 9, "num_ground_truth": 10, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8349834680557251, "attempts": 1, "retries": 0, "total_seconds": 15.3554}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 96, "image": "tile_267_jpg.rf.d3e282883cf21b5fa393f473090fd4b9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [38, 315, 281, 501], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [297, 515, 538, 703], \"label\": \"ship in SAR satellite image\"}\n]\n```", "correct": false, "input_tokens": 1229, "output_tokens": 2157, "elapsed_seconds": 25.584580334019847, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5049505233764648, "attempts": 1, "retries": 0, "total_seconds": 25.612}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 97, "image": "IMG_20250815_165441_jpg.rf.4c737e973da64b017b0e386f2b455f62.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [211, 180, 311, 232], \"label\": \"barcode\"},\n {\"box_2d\": [219, 444, 312, 491], \"label\": \"barcode\"},\n {\"box_2d\": [193, 629, 235, 671], \"label\": \"barcode\"},\n {\"box_2d\": [681, 65, 720, 117], \"label\": \"barcode\"},\n {\"box_2d\": [827, 256, 866, 304], \"label\": \"barcode\"},\n {\"box_2d\": [741, 551, 825, 594], \"label\": \"barcode\"},\n {\"box_2d\": [771, 706, 851, 745], \"label\": \"barcode\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 911, "elapsed_seconds": 14.31325000000652, "metadata": {"match_method": "map", "num_predictions": 7, "num_ground_truth": 7, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 14.6016}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 98, "image": "Lego_63_low_jpeg.rf.6dd24c9abacc96bac5fb5a7d9ce3f907.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [48, 198, 136, 294], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [201, 13, 307, 105], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [182, 103, 270, 189], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [99, 427, 206, 530], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [214, 352, 283, 454], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [279, 316, 339, 405], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [59, 670, 152, 777], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [28, 753, 131, 822], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [167, 672, 265, 715], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [173, 710, 251, 761], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [222, 797, 308, 875], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [203, 864, 298, 938], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [294, 581, 396, 651], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [396, 317, 466, 429], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [499, 373, 594, 431], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [471, 538, 571, 610], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [446, 725, 519, 777], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [413, 789, 492, 854], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [459, 835, 534, 916], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [581, 253, 663, 332], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [584, 323, 669, 411], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [621, 44, 726, 143], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [765, 86, 854, 179], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [827, 267, 906, 366], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [674, 414, 766, 511], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [775, 421, 860, 532], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [605, 580, 707, 661], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [713, 588, 749, 683], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [670, 673, 750, 734], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [713, 731, 797, 808], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [680, 779, 728, 873], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [744, 789, 845, 886], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [605, 906, 696, 1000], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [671, 963, 747, 1000], \"label\": \"lego 4x1 brick\"}\n]\n```", "correct": true, "input_tokens": 1244, "output_tokens": 3862, "elapsed_seconds": 30.44455395801924, "metadata": {"match_method": "map", "num_predictions": 34, "num_ground_truth": 34, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9216064214706421, "attempts": 1, "retries": 0, "total_seconds": 30.5183}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 99, "image": "frame_0085_jpg.rf.df2f77641da4fa475877d40e14103949.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [42, 138, 108, 181], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [139, 111, 206, 154], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [260, 129, 329, 175], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [375, 107, 452, 160], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [465, 106, 535, 156], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [591, 83, 673, 137], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [802, 77, 886, 131], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [23, 246, 75, 290], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [131, 229, 198, 270], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [270, 229, 342, 271], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [418, 234, 488, 281], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [678, 227, 767, 273], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [887, 211, 965, 258], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [48, 341, 110, 377], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [158, 344, 221, 381], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [315, 353, 380, 392], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [436, 356, 500, 395], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [527, 339, 597, 386], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [703, 346, 792, 389], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [848, 339, 933, 387], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [229, 428, 307, 469], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [421, 467, 485, 505], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [644, 482, 725, 522], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [863, 472, 920, 515], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [340, 551, 403, 586], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [777, 576, 850, 618], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [180, 608, 235, 642], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [368, 675, 434, 710], \"label\": \"garlic on conveyor\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 2271, "elapsed_seconds": 20.795527415932156, "metadata": {"match_method": "map", "num_predictions": 28, "num_ground_truth": 28, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9476662278175354, "attempts": 1, "retries": 0, "total_seconds": 20.8868}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 100, "image": "basketball-player-detection_boston-celtics-new-york-knicks-game-4-q1-00-05-00-01-0115_png.rf.268163bdbdd382dbeaa9df9d19cf50ae.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [703, 166, 956, 238], \"label\": \"player\"},\n {\"box_2d\": [769, 180, 799, 195], \"label\": \"jersey number\"},\n {\"box_2d\": [723, 295, 880, 329], \"label\": \"referee\"},\n {\"box_2d\": [542, 359, 760, 405], \"label\": \"player\"},\n {\"box_2d\": [585, 369, 614, 378], \"label\": \"jersey number\"},\n {\"box_2d\": [306, 148, 513, 194], \"label\": \"player\"},\n {\"box_2d\": [355, 164, 373, 177], \"label\": \"jersey number\"},\n {\"box_2d\": [324, 108, 463, 159], \"label\": \"player\"},\n {\"box_2d\": [353, 111, 373, 121], \"label\": \"jersey number\"},\n {\"box_2d\": [283, 340, 456, 378], \"label\": \"referee\"},\n {\"box_2d\": [319, 521, 502, 565], \"label\": \"player\"},\n {\"box_2d\": [367, 536, 386, 545], \"label\": \"jersey number\"},\n {\"box_2d\": [347, 545, 533, 611], \"label\": \"player\"},\n {\"box_2d\": [382, 563, 405, 577], \"label\": \"jersey number\"},\n {\"box_2d\": [449, 732, 667, 777], \"label\": \"player\"},\n {\"box_2d\": [504, 745, 524, 759], \"label\": \"jersey number\"},\n {\"box_2d\": [465, 710, 646, 756], \"label\": \"player\"},\n {\"box_2d\": [566, 748, 788, 810], \"label\": \"player\"},\n {\"box_2d\": [614, 761, 643, 770], \"label\": \"jersey number\"},\n {\"box_2d\": [609, 809, 839, 875], \"label\": \"player\"},\n {\"box_2d\": [669, 849, 694, 860], \"label\": \"jersey number\"},\n {\"box_2d\": [295, 712, 319, 752], \"label\": \"basket rim\"}\n]\n```", "correct": false, "input_tokens": 1250, "output_tokens": 2804, "elapsed_seconds": 29.397724083974026, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 25, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.41602492332458496, "attempts": 1, "retries": 0, "total_seconds": 29.4876}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 101, "image": "construction-safety_ppe_0720_jpg.rf.cfd070890ac09790250bebd1b430d69f.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [234, 11, 299, 59], \"label\": \"safety helmet\"},\n {\"box_2d\": [287, 94, 355, 141], \"label\": \"safety helmet\"},\n {\"box_2d\": [204, 182, 270, 230], \"label\": \"safety helmet\"},\n {\"box_2d\": [264, 258, 338, 305], \"label\": \"safety helmet\"},\n {\"box_2d\": [187, 326, 255, 376], \"label\": \"safety helmet\"},\n {\"box_2d\": [207, 420, 275, 467], \"label\": \"safety helmet\"},\n {\"box_2d\": [206, 490, 274, 540], \"label\": \"safety helmet\"},\n {\"box_2d\": [238, 575, 306, 625], \"label\": \"safety helmet\"},\n {\"box_2d\": [192, 677, 263, 728], \"label\": \"safety helmet\"},\n {\"box_2d\": [116, 744, 200, 805], \"label\": \"safety helmet\"},\n {\"box_2d\": [147, 808, 224, 854], \"label\": \"safety helmet\"},\n {\"box_2d\": [177, 838, 264, 899], \"label\": \"safety helmet\"},\n {\"box_2d\": [138, 901, 232, 980], \"label\": \"safety helmet\"},\n {\"box_2d\": [354, 1, 624, 79], \"label\": \"safety vest\"},\n {\"box_2d\": [398, 82, 659, 169], \"label\": \"safety vest\"},\n {\"box_2d\": [315, 167, 597, 255], \"label\": \"safety vest\"},\n {\"box_2d\": [383, 248, 613, 314], \"label\": \"safety vest\"},\n {\"box_2d\": [317, 308, 583, 402], \"label\": \"safety vest\"},\n {\"box_2d\": [321, 402, 595, 488], \"label\": \"safety vest\"},\n {\"box_2d\": [321, 483, 575, 567], \"label\": \"safety vest\"},\n {\"box_2d\": [360, 569, 597, 650], \"label\": \"safety vest\"},\n {\"box_2d\": [328, 661, 603, 746], \"label\": \"safety vest\"},\n {\"box_2d\": [250, 742, 551, 836], \"label\": \"safety vest\"},\n {\"box_2d\": [315, 827, 639, 902], \"label\": \"safety vest\"},\n {\"box_2d\": [302, 886, 669, 999], \"label\": \"safety vest\"},\n {\"box_2d\": [236, 0, 991, 86], \"label\": \"person\"},\n {\"box_2d\": [286, 74, 983, 181], \"label\": \"person\"},\n {\"box_2d\": [206, 157, 984, 275], \"label\": \"person\"},\n {\"box_2d\": [262, 239, 980, 323], \"label\": \"person\"},\n {\"box_2d\": [189, 294, 994, 405], \"label\": \"person\"},\n {\"box_2d\": [209, 393, 983, 495], \"label\": \"person\"},\n {\"box_2d\": [208, 478, 967, 576], \"label\": \"person\"},\n {\"box_2d\": [244, 562, 984, 667], \"label\": \"person\"},\n {\"box_2d\": [193, 654, 989, 756], \"label\": \"person\"},\n {\"box_2d\": [123, 735, 996, 847], \"label\": \"person\"},\n {\"box_2d\": [180, 822, 991, 905], \"label\": \"person\"},\n {\"box_2d\": [138, 874, 994, 1000], \"label\": \"person\"},\n {\"box_2d\": [149, 806, 954, 860], \"label\": \"person\"}\n]\n```", "correct": true, "input_tokens": 1198, "output_tokens": 3271, "elapsed_seconds": 26.991960084065795, "metadata": {"match_method": "map", "num_predictions": 38, "num_ground_truth": 38, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9735973477363586, "attempts": 1, "retries": 0, "total_seconds": 27.0149}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 102, "image": "fabric-defect_1213_jpg.rf.f4cb351d5d6f226d23075b9a6a549416.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [467, 725, 591, 778], \"label\": \"fabric cut\"},\n {\"box_2d\": [578, 412, 619, 444], \"label\": \"fabric cut\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 758, "elapsed_seconds": 10.147106500109658, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 10.1625}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 103, "image": "indir-2-_jpeg_jpg.rf.cabde9f9d89b7527f52820f6df64e1b7.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [363, 247, 381, 583], \"label\": \"dimension annotation\"},\n {\"box_2d\": [415, 89, 519, 205], \"label\": \"dimension annotation\"},\n {\"box_2d\": [433, 304, 515, 449], \"label\": \"dimension annotation\"},\n {\"box_2d\": [530, 68, 575, 137], \"label\": \"dimension annotation\"},\n {\"box_2d\": [423, 654, 575, 681], \"label\": \"dimension annotation\"},\n {\"box_2d\": [615, 181, 634, 289], \"label\": \"dimension annotation\"},\n {\"box_2d\": [615, 415, 634, 516], \"label\": \"dimension annotation\"},\n {\"box_2d\": [615, 515, 634, 583], \"label\": \"dimension annotation\"},\n {\"box_2d\": [618, 753, 642, 890], \"label\": \"dimension annotation\"},\n {\"box_2d\": [678, 55, 707, 81], \"label\": \"dimension annotation\"},\n {\"box_2d\": [706, 55, 845, 81], \"label\": \"dimension annotation\"},\n {\"box_2d\": [759, 248, 777, 344], \"label\": \"dimension annotation\"},\n {\"box_2d\": [814, 621, 845, 648], \"label\": \"dimension annotation\"},\n {\"box_2d\": [753, 662, 802, 751], \"label\": \"dimension annotation\"},\n {\"box_2d\": [914, 206, 984, 976], \"label\": \"technical drawing table\"},\n {\"box_2d\": [16, 23, 49, 311], \"label\": \"technical drawing table\"}\n]\n```", "correct": false, "input_tokens": 1233, "output_tokens": 2966, "elapsed_seconds": 27.467376500018872, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5028287768363953, "attempts": 1, "retries": 0, "total_seconds": 27.4759}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 104, "image": "wood-log-detection_019_png_jpg.rf.0c10ed1caffd0ca9926a3f2f5de3a24a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [147, 52, 217, 148], \"label\": \"log cross-section\"},\n {\"box_2d\": [222, 97, 273, 162], \"label\": \"log cross-section\"},\n {\"box_2d\": [201, 162, 266, 255], \"label\": \"log cross-section\"},\n {\"box_2d\": [186, 236, 234, 280], \"label\": \"log cross-section\"},\n {\"box_2d\": [164, 284, 214, 347], \"label\": \"log cross-section\"},\n {\"box_2d\": [208, 284, 238, 325], \"label\": \"log cross-section\"},\n {\"box_2d\": [163, 359, 206, 409], \"label\": \"log cross-section\"},\n {\"box_2d\": [167, 403, 209, 456], \"label\": \"log cross-section\"},\n {\"box_2d\": [211, 327, 289, 422], \"label\": \"log cross-section\"},\n {\"box_2d\": [164, 497, 233, 581], \"label\": \"log cross-section\"},\n {\"box_2d\": [234, 419, 326, 553], \"label\": \"log cross-section\"},\n {\"box_2d\": [228, 544, 299, 636], \"label\": \"log cross-section\"},\n {\"box_2d\": [224, 669, 273, 733], \"label\": \"log cross-section\"},\n {\"box_2d\": [222, 733, 280, 804], \"label\": \"log cross-section\"},\n {\"box_2d\": [211, 804, 296, 896], \"label\": \"log cross-section\"},\n {\"box_2d\": [264, 53, 315, 121], \"label\": \"log cross-section\"},\n {\"box_2d\": [313, 67, 362, 134], \"label\": \"log cross-section\"},\n {\"box_2d\": [331, 131, 370, 179], \"label\": \"log cross-section\"},\n {\"box_2d\": [286, 198, 366, 306], \"label\": \"log cross-section\"},\n {\"box_2d\": [251, 280, 292, 330], \"label\": \"log cross-section\"},\n {\"box_2d\": [346, 240, 405, 318], \"label\": \"log cross-section\"},\n {\"box_2d\": [321, 322, 401, 432], \"label\": \"log cross-section\"},\n {\"box_2d\": [354, 424, 401, 493], \"label\": \"log cross-section\"},\n {\"box_2d\": [301, 536, 374, 622], \"label\": \"log cross-section\"},\n {\"box_2d\": [270, 655, 339, 739], \"label\": \"log cross-section\"},\n {\"box_2d\": [278, 749, 316, 796], \"label\": \"log cross-section\"},\n {\"box_2d\": [301, 776, 361, 849], \"label\": \"log cross-section\"},\n {\"box_2d\": [322, 700, 389, 788], \"label\": \"log cross-section\"},\n {\"box_2d\": [349, 603, 431, 703], \"label\": \"log cross-section\"},\n {\"box_2d\": [369, 499, 443, 587], \"label\": \"log cross-section\"},\n {\"box_2d\": [395, 427, 431, 482], \"label\": \"log cross-section\"},\n {\"box_2d\": [391, 91, 450, 169], \"label\": \"log cross-section\"},\n {\"box_2d\": [454, 87, 495, 146], \"label\": \"log cross-section\"},\n {\"box_2d\": [435, 151, 530, 273], \"label\": \"log cross-section\"},\n {\"box_2d\": [423, 272, 474, 336], \"label\": \"log cross-section\"},\n {\"box_2d\": [429, 413, 469, 468], \"label\": \"log cross-section\"},\n {\"box_2d\": [457, 353, 527, 443], \"label\": \"log cross-section\"},\n {\"box_2d\": [454, 449, 517, 538], \"label\": \"log cross-section\"},\n {\"box_2d\": [461, 546, 521, 622], \"label\": \"log cross-section\"},\n {\"box_2d\": [434, 623, 489, 691], \"label\": \"log cross-section\"},\n {\"box_2d\": [477, 673, 517, 725], \"label\": \"log cross-section\"},\n {\"box_2d\": [455, 720, 513, 793], \"label\": \"log cross-section\"},\n {\"box_2d\": [438, 789, 473, 833], \"label\": \"log cross-section\"},\n {\"box_2d\": [366, 803, 405, 855], \"label\": \"log cross-section\"},\n {\"box_2d\": [406, 900, 444, 947], \"label\": \"log cross-section\"},\n {\"box_2d\": [468, 833, 501, 874], \"label\": \"log cross-section\"},\n {\"box_2d\": [494, 71, 560, 153], \"label\": \"log cross-section\"},\n {\"box_2d\": [530, 161, 563, 206], \"label\": \"log cross-section\"},\n {\"box_2d\": [481, 267, 523, 321], \"label\": \"log cross-section\"},\n {\"box_2d\": [513, 212, 583, 306], \"label\": \"log cross-section\"},\n {\"box_2d\": [504, 308, 567, 386], \"label\": \"log cross-section\"},\n {\"box_2d\": [509, 483, 579, 578], \"label\": \"log cross-section\"},\n {\"box_2d\": [512, 637, 557, 686], \"label\": \"log cross-section\"},\n {\"box_2d\": [511, 715, 557, 775], \"label\": \"log cross-section\"},\n {\"box_2d\": [511, 772, 556, 821], \"label\": \"log cross-section\"},\n {\"box_2d\": [523, 826, 554, 863], \"label\": \"log cross-section\"},\n {\"box_2d\": [502, 855, 538, 896], \"label\": \"log cross-section\"},\n {\"box_2d\": [558, 79, 616, 155], \"label\": \"log cross-section\"},\n {\"box_2d\": [558, 169, 603, 223], \"label\": \"log cross-section\"},\n {\"box_2d\": [600, 170, 640, 224], \"label\": \"log cross-section\"},\n {\"box_2d\": [589, 223, 647, 295], \"label\": \"log cross-section\"},\n {\"box_2d\": [575, 391, 626, 477], \"label\": \"log cross-section\"},\n {\"box_2d\": [576, 484, 627, 573], \"label\": \"log cross-section\"},\n {\"box_2d\": [566, 571, 608, 614], \"label\": \"log cross-section\"},\n {\"box_2d\": [545, 608, 599, 678], \"label\": \"log cross-section\"},\n {\"box_2d\": [556, 690, 615, 772], \"label\": \"log cross-section\"},\n {\"box_2d\": [554, 776, 604, 845], \"label\": \"log cross-section\"},\n {\"box_2d\": [582, 842, 619, 884], \"label\": \"log cross-section\"},\n {\"box_2d\": [624, 65, 721, 197], \"label\": \"log cross-section\"},\n {\"box_2d\": [640, 202, 723, 321], \"label\": \"log cross-section\"},\n {\"box_2d\": [690, 298, 725, 339], \"label\": \"log cross-section\"},\n {\"box_2d\": [618, 322, 727, 453], \"label\": \"log cross-section\"},\n {\"box_2d\": [629, 466, 670, 513], \"label\": \"log cross-section\"},\n {\"box_2d\": [622, 514, 675, 584], \"label\": \"log cross-section\"},\n {\"box_2d\": [609, 567, 639, 621], \"label\": \"log cross-section\"},\n {\"box_2d\": [631, 583, 678, 642], \"label\": \"log cross-section\"},\n {\"box_2d\": [670, 465, 740, 555], \"label\": \"log cross-section\"},\n {\"box_2d\": [705, 591, 747, 640], \"label\": \"log cross-section\"},\n {\"box_2d\": [701, 639, 746, 688], \"label\": \"log cross-section\"},\n {\"box_2d\": [612, 671, 661, 731], \"label\": \"log cross-section\"},\n {\"box_2d\": [613, 731, 667, 797], \"label\": \"log cross-section\"},\n {\"box_2d\": [603, 815, 641, 855], \"label\": \"log cross-section\"},\n {\"box_2d\": [624, 830, 673, 888], \"label\": \"log cross-section\"},\n {\"box_2d\": [686, 718, 722, 760], \"label\": \"log cross-section\"},\n {\"box_2d\": [712, 790, 749, 833], \"label\": \"log cross-section\"},\n {\"box_2d\": [687, 834, 721, 882], \"label\": \"log cross-section\"}\n]\n```", "correct": true, "input_tokens": 1228, "output_tokens": 5599, "elapsed_seconds": 45.067960166954435, "metadata": {"match_method": "map", "num_predictions": 86, "num_ground_truth": 91, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9059904217720032, "attempts": 1, "retries": 0, "total_seconds": 45.0961}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 105, "image": "170571v_JPG_jpg.rf.044f16a58ffbf60b2d7a3d41cd3a4fdf.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [441, 463, 513, 672], \"label\": \"cracked insulator\"},\n {\"box_2d\": [498, 465, 571, 676], \"label\": \"cracked insulator\"},\n {\"box_2d\": [713, 496, 779, 681], \"label\": \"cracked insulator\"},\n {\"box_2d\": [761, 487, 839, 686], \"label\": \"cracked insulator\"}\n]\n```", "correct": true, "input_tokens": 1244, "output_tokens": 2855, "elapsed_seconds": 53.581260750070214, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.801980197429657, "attempts": 1, "retries": 0, "total_seconds": 53.9328}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 106, "image": "IMG_20260128_081412_jpg.rf.4a044ae2d306c8ba7e741477be920225.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [27, 0, 118, 49], \"label\": \"white standard price tag\"},\n {\"box_2d\": [32, 70, 124, 134], \"label\": \"white standard price tag\"},\n {\"box_2d\": [36, 146, 123, 212], \"label\": \"white standard price tag\"},\n {\"box_2d\": [46, 240, 128, 304], \"label\": \"white standard price tag\"},\n {\"box_2d\": [49, 340, 131, 405], \"label\": \"white standard price tag\"},\n {\"box_2d\": [49, 417, 133, 483], \"label\": \"white standard price tag\"},\n {\"box_2d\": [64, 529, 145, 591], \"label\": \"white standard price tag\"},\n {\"box_2d\": [63, 667, 145, 730], \"label\": \"white standard price tag\"},\n {\"box_2d\": [72, 769, 155, 830], \"label\": \"white standard price tag\"},\n {\"box_2d\": [85, 850, 162, 909], \"label\": \"white standard price tag\"},\n {\"box_2d\": [75, 926, 155, 987], \"label\": \"white standard price tag\"},\n {\"box_2d\": [656, 49, 735, 110], \"label\": \"white standard price tag\"},\n {\"box_2d\": [680, 218, 760, 279], \"label\": \"white standard price tag\"},\n {\"box_2d\": [686, 326, 765, 387], \"label\": \"white standard price tag\"},\n {\"box_2d\": [672, 421, 925, 487], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [676, 560, 932, 626], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [696, 648, 777, 707], \"label\": \"white standard price tag\"},\n {\"box_2d\": [699, 725, 778, 783], \"label\": \"white standard price tag\"},\n {\"box_2d\": [703, 821, 782, 879], \"label\": \"white standard price tag\"},\n {\"box_2d\": [706, 895, 784, 952], \"label\": \"white standard price tag\"},\n {\"box_2d\": [693, 944, 943, 1000], \"label\": \"yellow large price tag\"}\n]\n```", "correct": true, "input_tokens": 1222, "output_tokens": 2325, "elapsed_seconds": 27.485207541962154, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 21, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 27.8237}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 107, "image": "IMG_20220316_163220_jpg.rf.07e174636631b0be143879d240f8f468.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [404, 83, 922, 405], \"label\": \"ace of diamonds\"},\n {\"box_2d\": [289, 80, 751, 381], \"label\": \"three of diamonds\"},\n {\"box_2d\": [404, 397, 868, 730], \"label\": \"two of diamonds\"},\n {\"box_2d\": [154, 452, 636, 811], \"label\": \"four of diamonds\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 497, "elapsed_seconds": 6.283990625059232, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 6.3202}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 108, "image": "2e57b9_3_10_png_jpg.rf.93746b4a960366b1a012ad339a5d68e1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [474, 138, 512, 149], \"label\": \"goalkeeper\"},\n {\"box_2d\": [504, 143, 513, 149], \"label\": \"football\"},\n {\"box_2d\": [576, 58, 625, 70], \"label\": \"player\"},\n {\"box_2d\": [748, 159, 811, 180], \"label\": \"player\"},\n {\"box_2d\": [579, 236, 628, 248], \"label\": \"player\"},\n {\"box_2d\": [478, 211, 519, 226], \"label\": \"player\"},\n {\"box_2d\": [458, 216, 496, 229], \"label\": \"player\"},\n {\"box_2d\": [500, 283, 544, 296], \"label\": \"player\"},\n {\"box_2d\": [421, 264, 456, 273], \"label\": \"player\"},\n {\"box_2d\": [375, 390, 405, 397], \"label\": \"player\"},\n {\"box_2d\": [413, 389, 449, 398], \"label\": \"player\"},\n {\"box_2d\": [587, 349, 639, 360], \"label\": \"player\"},\n {\"box_2d\": [583, 437, 634, 448], \"label\": \"player\"},\n {\"box_2d\": [445, 457, 483, 466], \"label\": \"player\"},\n {\"box_2d\": [493, 479, 535, 489], \"label\": \"referee\"},\n {\"box_2d\": [471, 499, 511, 509], \"label\": \"player\"},\n {\"box_2d\": [542, 463, 589, 476], \"label\": \"player\"},\n {\"box_2d\": [542, 495, 591, 505], \"label\": \"player\"},\n {\"box_2d\": [689, 487, 749, 499], \"label\": \"player\"},\n {\"box_2d\": [403, 630, 440, 638], \"label\": \"player\"},\n {\"box_2d\": [405, 658, 440, 666], \"label\": \"player\"},\n {\"box_2d\": [451, 675, 491, 685], \"label\": \"player\"},\n {\"box_2d\": [533, 694, 582, 704], \"label\": \"player\"},\n {\"box_2d\": [908, 744, 987, 772], \"label\": \"referee\"}\n]\n```", "correct": false, "input_tokens": 1242, "output_tokens": 2797, "elapsed_seconds": 25.136769374948926, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6534653306007385, "attempts": 1, "retries": 0, "total_seconds": 25.2315}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 109, "image": "img283_png.rf.c0609f1f38390a89165e7c735d693ab6.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [345, 36, 389, 80], \"label\": \"not gate symbol\"},\n {\"box_2d\": [345, 90, 389, 134], \"label\": \"not gate symbol\"},\n {\"box_2d\": [550, 144, 595, 188], \"label\": \"not gate symbol\"},\n {\"box_2d\": [550, 198, 595, 241], \"label\": \"not gate symbol\"},\n {\"box_2d\": [76, 366, 142, 449], \"label\": \"and gate symbol\"},\n {\"box_2d\": [249, 366, 316, 449], \"label\": \"and gate symbol\"},\n {\"box_2d\": [28, 540, 96, 624], \"label\": \"and gate symbol\"},\n {\"box_2d\": [123, 540, 190, 624], \"label\": \"and gate symbol\"},\n {\"box_2d\": [218, 540, 285, 624], \"label\": \"and gate symbol\"},\n {\"box_2d\": [329, 540, 396, 624], \"label\": \"and gate symbol\"},\n {\"box_2d\": [392, 393, 459, 476], \"label\": \"and gate symbol\"},\n {\"box_2d\": [487, 393, 554, 476], \"label\": \"and gate symbol\"},\n {\"box_2d\": [582, 393, 649, 476], \"label\": \"and gate symbol\"},\n {\"box_2d\": [676, 393, 744, 476], \"label\": \"and gate symbol\"},\n {\"box_2d\": [788, 366, 855, 449], \"label\": \"and gate symbol\"},\n {\"box_2d\": [914, 352, 981, 436], \"label\": \"and gate symbol\"},\n {\"box_2d\": [535, 701, 602, 785], \"label\": \"and gate symbol\"},\n {\"box_2d\": [170, 756, 237, 839], \"label\": \"or gate symbol\"},\n {\"box_2d\": [440, 540, 507, 624], \"label\": \"or gate symbol\"},\n {\"box_2d\": [630, 540, 697, 624], \"label\": \"or gate symbol\"},\n {\"box_2d\": [835, 554, 902, 637], \"label\": \"or gate symbol\"},\n {\"box_2d\": [661, 863, 728, 946], \"label\": \"or gate symbol\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 2156, "elapsed_seconds": 17.810381583985873, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 17.8231}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 110, "image": "000002_png.rf.4f51fa98e7c1b825375b26d30324d587.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [157, 206, 169, 225], \"label\": \"tire spike normal\"},\n {\"box_2d\": [196, 245, 212, 267], \"label\": \"tire spike absent\"},\n {\"box_2d\": [251, 298, 269, 323], \"label\": \"tire spike absent\"},\n {\"box_2d\": [348, 325, 366, 350], \"label\": \"tire spike normal\"},\n {\"box_2d\": [411, 381, 429, 405], \"label\": \"tire spike normal\"},\n {\"box_2d\": [507, 378, 526, 405], \"label\": \"tire spike normal\"},\n {\"box_2d\": [572, 434, 590, 459], \"label\": \"tire spike normal\"},\n {\"box_2d\": [758, 498, 777, 523], \"label\": \"tire spike normal\"},\n {\"box_2d\": [826, 569, 843, 592], \"label\": \"tire spike absent\"},\n {\"box_2d\": [903, 559, 918, 582], \"label\": \"tire spike absent\"},\n {\"box_2d\": [939, 614, 952, 634], \"label\": \"tire spike normal\"},\n {\"box_2d\": [176, 575, 190, 595], \"label\": \"tire spike normal\"},\n {\"box_2d\": [245, 643, 260, 666], \"label\": \"tire spike normal\"},\n {\"box_2d\": [334, 678, 350, 700], \"label\": \"tire spike normal\"},\n {\"box_2d\": [390, 745, 406, 767], \"label\": \"tire spike normal\"},\n {\"box_2d\": [467, 765, 483, 788], \"label\": \"tire spike normal\"},\n {\"box_2d\": [544, 781, 561, 804], \"label\": \"tire spike normal\"},\n {\"box_2d\": [615, 840, 632, 861], \"label\": \"tire spike normal\"},\n {\"box_2d\": [715, 836, 732, 856], \"label\": \"tire spike normal\"},\n {\"box_2d\": [767, 875, 782, 894], \"label\": \"tire spike normal\"}\n]\n```", "correct": true, "input_tokens": 1244, "output_tokens": 2550, "elapsed_seconds": 24.322757082991302, "metadata": {"match_method": "map", "num_predictions": 20, "num_ground_truth": 25, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8811880946159363, "attempts": 1, "retries": 0, "total_seconds": 24.3523}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 111, "image": "20210325_203906_jpg.rf.933d9e03e479d146bb70034cc952f103.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [153, 223, 300, 372], \"label\": \"1 euro cent coin\"},\n {\"box_2d\": [125, 517, 302, 691], \"label\": \"2 euro cent coin\"},\n {\"box_2d\": [264, 364, 455, 555], \"label\": \"5 euro cent coin\"},\n {\"box_2d\": [320, 72, 538, 291], \"label\": \"50 euro cent coin\"},\n {\"box_2d\": [331, 652, 567, 894], \"label\": \"2 euro coin\"},\n {\"box_2d\": [477, 458, 672, 656], \"label\": \"20 euro cent coin\"},\n {\"box_2d\": [541, 217, 742, 420], \"label\": \"1 euro coin\"},\n {\"box_2d\": [759, 434, 927, 605], \"label\": \"10 euro cent coin\"}\n]\n```", "correct": true, "input_tokens": 1272, "output_tokens": 1062, "elapsed_seconds": 10.296400582999922, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 10.3152}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 112, "image": "IMG_6680_jpeg_jpg.rf.a7e13dbe56d360a8422903a30c5bef2b.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [448, 28, 528, 199], \"label\": \"green poker chip\"},\n {\"box_2d\": [488, 28, 545, 200], \"label\": \"green poker chip\"},\n {\"box_2d\": [499, 34, 563, 204], \"label\": \"green poker chip\"},\n {\"box_2d\": [446, 225, 521, 384], \"label\": \"orange poker chip\"},\n {\"box_2d\": [484, 231, 540, 386], \"label\": \"orange poker chip\"},\n {\"box_2d\": [497, 214, 561, 370], \"label\": \"orange poker chip\"},\n {\"box_2d\": [445, 430, 518, 585], \"label\": \"red poker chip\"},\n {\"box_2d\": [474, 420, 536, 576], \"label\": \"red poker chip\"},\n {\"box_2d\": [498, 434, 558, 591], \"label\": \"red poker chip\"},\n {\"box_2d\": [447, 623, 521, 783], \"label\": \"blue poker chip\"},\n {\"box_2d\": [483, 622, 538, 781], \"label\": \"blue poker chip\"},\n {\"box_2d\": [504, 625, 563, 788], \"label\": \"blue poker chip\"},\n {\"box_2d\": [439, 804, 509, 972], \"label\": \"white poker chip\"},\n {\"box_2d\": [477, 814, 532, 987], \"label\": \"white poker chip\"},\n {\"box_2d\": [489, 811, 551, 986], \"label\": \"white poker chip\"}\n]\n```", "correct": true, "input_tokens": 1243, "output_tokens": 1637, "elapsed_seconds": 15.720625291927718, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 15.7412}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 113, "image": "paper-parts_1947_92_jpg.rf.c89564b4b37a6d7828cc26ccdadbe488.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [98, 860, 113, 881], \"label\": \"page number\"},\n {\"box_2d\": [143, 234, 471, 766], \"label\": \"figure\"},\n {\"box_2d\": [485, 118, 518, 882], \"label\": \"figure caption\"},\n {\"box_2d\": [523, 495, 537, 500], \"label\": \"paragraph\"},\n {\"box_2d\": [550, 267, 565, 732], \"label\": \"table caption\"},\n {\"box_2d\": [579, 224, 692, 775], \"label\": \"table\"},\n {\"box_2d\": [720, 118, 753, 882], \"label\": \"paragraph\"},\n {\"box_2d\": [777, 118, 792, 336], \"label\": \"subsection\"},\n {\"box_2d\": [804, 118, 837, 882], \"label\": \"paragraph\"},\n {\"box_2d\": [853, 427, 873, 572], \"label\": \"equation\"},\n {\"box_2d\": [887, 118, 907, 536], \"label\": \"paragraph\"}\n]\n```", "correct": true, "input_tokens": 1255, "output_tokens": 1541, "elapsed_seconds": 15.285828041960485, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 10, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8437498807907104, "attempts": 1, "retries": 0, "total_seconds": 15.3256}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 114, "image": "160623_JPG_jpg.rf.4a3c396118b0f749044f2bf5dc9876a6.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 408, 963, 518], \"label\": \"insulator flashover\"}\n]\n```", "correct": false, "input_tokens": 1218, "output_tokens": 904, "elapsed_seconds": 24.982536417082883, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 25.6317}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 115, "image": "97_jpg.rf.6e96875525666efd5c6ee92a42ea704b.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [156, 444, 232, 491], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [502, 114, 619, 159], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [365, 417, 454, 469], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [546, 519, 648, 562], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [359, 770, 444, 811], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [387, 258, 432, 315], \"label\": \"resistor symbol\"},\n {\"box_2d\": [394, 639, 438, 709], \"label\": \"resistor symbol\"},\n {\"box_2d\": [810, 285, 860, 353], \"label\": \"resistor symbol\"},\n {\"box_2d\": [559, 862, 695, 888], \"label\": \"resistor symbol\"}\n]\n```", "correct": true, "input_tokens": 1251, "output_tokens": 1023, "elapsed_seconds": 8.343443874968216, "metadata": {"match_method": "map", "num_predictions": 9, "num_ground_truth": 9, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 8.349}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 116, "image": "IMG_20260128_081234_jpg.rf.66b0abebc9fc2c6dc309b213a32ddf78.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 82, 365, 190], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [11, 297, 360, 396], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [26, 405, 362, 493], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [60, 588, 171, 667], \"label\": \"white standard price tag\"},\n {\"box_2d\": [68, 899, 175, 976], \"label\": \"white standard price tag\"},\n {\"box_2d\": [734, 37, 840, 108], \"label\": \"white standard price tag\"},\n {\"box_2d\": [745, 257, 845, 332], \"label\": \"white standard price tag\"},\n {\"box_2d\": [744, 354, 844, 428], \"label\": \"white standard price tag\"},\n {\"box_2d\": [738, 439, 838, 512], \"label\": \"white standard price tag\"},\n {\"box_2d\": [743, 558, 844, 629], \"label\": \"white standard price tag\"},\n {\"box_2d\": [746, 697, 846, 769], \"label\": \"white standard price tag\"},\n {\"box_2d\": [748, 804, 846, 875], \"label\": \"white standard price tag\"},\n {\"box_2d\": [747, 880, 846, 946], \"label\": \"white standard price tag\"},\n {\"box_2d\": [748, 945, 846, 1000], \"label\": \"white standard price tag\"}\n]\n```", "correct": true, "input_tokens": 1222, "output_tokens": 1979, "elapsed_seconds": 26.36638616595883, "metadata": {"match_method": "map", "num_predictions": 14, "num_ground_truth": 14, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 26.6523}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 117, "image": "1668147222__jpg.rf.44d299ff8b2787b4176e92260de001ce.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [597, 40, 644, 68], \"label\": \"five die\"},\n {\"box_2d\": [506, 108, 560, 141], \"label\": \"six die\"},\n {\"box_2d\": [568, 145, 625, 179], \"label\": \"three die\"},\n {\"box_2d\": [841, 120, 899, 154], \"label\": \"five die\"},\n {\"box_2d\": [355, 125, 402, 153], \"label\": \"six die\"},\n {\"box_2d\": [279, 206, 329, 235], \"label\": \"five die\"},\n {\"box_2d\": [422, 221, 469, 248], \"label\": \"five die\"},\n {\"box_2d\": [374, 292, 428, 324], \"label\": \"one die\"},\n {\"box_2d\": [426, 304, 472, 330], \"label\": \"two die\"},\n {\"box_2d\": [584, 284, 634, 312], \"label\": \"six die\"},\n {\"box_2d\": [129, 317, 187, 349], \"label\": \"four die\"},\n {\"box_2d\": [175, 381, 232, 412], \"label\": \"two die\"},\n {\"box_2d\": [135, 398, 192, 429], \"label\": \"one die\"},\n {\"box_2d\": [525, 391, 581, 422], \"label\": \"four die\"},\n {\"box_2d\": [643, 372, 699, 404], \"label\": \"six die\"},\n {\"box_2d\": [402, 473, 456, 503], \"label\": \"one die\"},\n {\"box_2d\": [302, 490, 353, 517], \"label\": \"three die\"},\n {\"box_2d\": [213, 496, 271, 529], \"label\": \"one die\"},\n {\"box_2d\": [230, 528, 281, 556], \"label\": \"two die\"},\n {\"box_2d\": [182, 538, 239, 571], \"label\": \"five die\"},\n {\"box_2d\": [125, 553, 179, 583], \"label\": \"two die\"},\n {\"box_2d\": [170, 569, 225, 600], \"label\": \"two die\"},\n {\"box_2d\": [21, 613, 79, 645], \"label\": \"five die\"},\n {\"box_2d\": [376, 531, 430, 561], \"label\": \"six die\"},\n {\"box_2d\": [626, 501, 672, 527], \"label\": \"two die\"},\n {\"box_2d\": [629, 540, 686, 573], \"label\": \"two die\"},\n {\"box_2d\": [755, 448, 804, 475], \"label\": \"five die\"},\n {\"box_2d\": [759, 509, 811, 538], \"label\": \"four die\"},\n {\"box_2d\": [772, 563, 829, 595], \"label\": \"four die\"},\n {\"box_2d\": [589, 582, 637, 609], \"label\": \"four die\"},\n {\"box_2d\": [461, 585, 516, 618], \"label\": \"six die\"},\n {\"box_2d\": [285, 611, 342, 644], \"label\": \"two die\"},\n {\"box_2d\": [333, 634, 381, 661], \"label\": \"two die\"},\n {\"box_2d\": [396, 639, 445, 667], \"label\": \"five die\"},\n {\"box_2d\": [482, 626, 538, 659], \"label\": \"one die\"},\n {\"box_2d\": [536, 628, 589, 657], \"label\": \"four die\"},\n {\"box_2d\": [568, 650, 625, 682], \"label\": \"six die\"},\n {\"box_2d\": [641, 665, 695, 696], \"label\": \"three die\"},\n {\"box_2d\": [136, 729, 191, 759], \"label\": \"one die\"},\n {\"box_2d\": [158, 793, 215, 826], \"label\": \"three die\"},\n {\"box_2d\": [354, 696, 400, 722], \"label\": \"four die\"},\n {\"box_2d\": [400, 730, 460, 764], \"label\": \"four die\"},\n {\"box_2d\": [464, 743, 520, 776], \"label\": \"five die\"},\n {\"box_2d\": [515, 758, 566, 787], \"label\": \"two die\"},\n {\"box_2d\": [584, 769, 641, 802], \"label\": \"three die\"},\n {\"box_2d\": [450, 859, 497, 887], \"label\": \"four die\"},\n {\"box_2d\": [699, 913, 746, 942], \"label\": \"five die\"},\n {\"box_2d\": [82, 935, 132, 965], \"label\": \"two die\"},\n {\"box_2d\": [128, 919, 183, 950], \"label\": \"two die\"},\n {\"box_2d\": [127, 949, 176, 977], \"label\": \"three die\"}\n]\n```", "correct": true, "input_tokens": 1252, "output_tokens": 3943, "elapsed_seconds": 34.70820691692643, "metadata": {"match_method": "map", "num_predictions": 50, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9495782852172852, "attempts": 1, "retries": 0, "total_seconds": 34.7479}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 118, "image": "IMG_0603_jpeg.rf.ecb146a41f95c297fa9a3a9efb0e3ea5.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [461, 213, 616, 311], \"label\": \"peach jelly bean\"},\n {\"box_2d\": [338, 396, 456, 467], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [465, 519, 591, 641], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [345, 688, 447, 799], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [97, 770, 159, 824], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [102, 820, 161, 873], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [121, 868, 164, 912], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [152, 855, 216, 905], \"label\": \"caramel corn jelly bean\"}\n]\n```", "correct": true, "input_tokens": 1230, "output_tokens": 4547, "elapsed_seconds": 46.0140697080642, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8341583609580994, "attempts": 1, "retries": 0, "total_seconds": 46.0492}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 119, "image": "lot229_JPEG_jpg.rf.ffdf35568953f3fde9f8f46749018268.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [129, 355, 171, 380], \"label\": \"chicory seed\"},\n {\"box_2d\": [137, 376, 180, 400], \"label\": \"chicory seed\"},\n {\"box_2d\": [119, 412, 160, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [115, 452, 136, 493], \"label\": \"chicory seed\"},\n {\"box_2d\": [121, 466, 151, 507], \"label\": \"chicory seed\"},\n {\"box_2d\": [135, 432, 169, 469], \"label\": \"chicory seed\"},\n {\"box_2d\": [151, 450, 182, 487], \"label\": \"chicory seed\"},\n {\"box_2d\": [126, 489, 165, 521], \"label\": \"chicory seed\"},\n {\"box_2d\": [124, 540, 144, 585], \"label\": \"chicory seed\"},\n {\"box_2d\": [167, 299, 190, 343], \"label\": \"chicory seed\"},\n {\"box_2d\": [168, 348, 208, 372], \"label\": \"chicory seed\"},\n {\"box_2d\": [179, 263, 204, 300], \"label\": \"chicory seed\"},\n {\"box_2d\": [193, 240, 214, 283], \"label\": \"chicory seed\"},\n {\"box_2d\": [187, 315, 220, 353], \"label\": \"chicory seed\"},\n {\"box_2d\": [187, 391, 220, 426], \"label\": \"chicory seed\"},\n {\"box_2d\": [200, 354, 232, 394], \"label\": \"chicory seed\"},\n {\"box_2d\": [190, 425, 218, 468], \"label\": \"chicory seed\"},\n {\"box_2d\": [164, 491, 204, 514], \"label\": \"chicory seed\"},\n {\"box_2d\": [155, 510, 178, 553], \"label\": \"chicory seed\"},\n {\"box_2d\": [172, 513, 195, 555], \"label\": \"chicory seed\"},\n {\"box_2d\": [192, 507, 219, 546], \"label\": \"chicory seed\"},\n {\"box_2d\": [154, 550, 183, 591], \"label\": \"chicory seed\"},\n {\"box_2d\": [172, 555, 196, 599], \"label\": \"chicory seed\"},\n {\"box_2d\": [159, 598, 202, 619], \"label\": \"chicory seed\"},\n {\"box_2d\": [166, 617, 209, 637], \"label\": \"chicory seed\"},\n {\"box_2d\": [166, 658, 196, 695], \"label\": \"chicory seed\"},\n {\"box_2d\": [196, 529, 229, 563], \"label\": \"chicory seed\"},\n {\"box_2d\": [201, 599, 241, 619], \"label\": \"chicory seed\"},\n {\"box_2d\": [198, 678, 239, 703], \"label\": \"chicory seed\"},\n {\"box_2d\": [206, 698, 246, 720], \"label\": \"chicory seed\"},\n {\"box_2d\": [212, 253, 233, 295], \"label\": \"chicory seed\"},\n {\"box_2d\": [217, 230, 260, 251], \"label\": \"chicory seed\"},\n {\"box_2d\": [231, 248, 269, 266], \"label\": \"chicory seed\"},\n {\"box_2d\": [224, 265, 261, 302], \"label\": \"chicory seed\"},\n {\"box_2d\": [209, 316, 250, 345], \"label\": \"chicory seed\"},\n {\"box_2d\": [224, 302, 261, 333], \"label\": \"chicory seed\"},\n {\"box_2d\": [222, 381, 243, 421], \"label\": \"chicory seed\"},\n {\"box_2d\": [212, 446, 232, 488], \"label\": \"chicory seed\"},\n {\"box_2d\": [219, 487, 243, 532], \"label\": \"chicory seed\"},\n {\"box_2d\": [232, 495, 260, 537], \"label\": \"chicory seed\"},\n {\"box_2d\": [208, 546, 238, 583], \"label\": \"chicory seed\"},\n {\"box_2d\": [215, 557, 247, 597], \"label\": \"chicory seed\"},\n {\"box_2d\": [231, 563, 260, 606], \"label\": \"chicory seed\"},\n {\"box_2d\": [213, 610, 251, 643], \"label\": \"chicory seed\"},\n {\"box_2d\": [229, 616, 266, 651], \"label\": \"chicory seed\"},\n {\"box_2d\": [220, 646, 254, 672], \"label\": \"chicory seed\"},\n {\"box_2d\": [240, 667, 274, 703], \"label\": \"chicory seed\"},\n {\"box_2d\": [234, 718, 278, 744], \"label\": \"chicory seed\"},\n {\"box_2d\": [252, 198, 279, 239], \"label\": \"chicory seed\"},\n {\"box_2d\": [262, 220, 298, 248], \"label\": \"chicory seed\"},\n {\"box_2d\": [264, 243, 287, 285], \"label\": \"chicory seed\"},\n {\"box_2d\": [258, 305, 281, 349], \"label\": \"chicory seed\"},\n {\"box_2d\": [232, 340, 268, 376], \"label\": \"chicory seed\"},\n {\"box_2d\": [240, 355, 276, 389], \"label\": \"chicory seed\"},\n {\"box_2d\": [240, 389, 277, 426], \"label\": \"chicory seed\"},\n {\"box_2d\": [262, 410, 283, 455], \"label\": \"chicory seed\"},\n {\"box_2d\": [233, 470, 277, 497], \"label\": \"chicory seed\"},\n {\"box_2d\": [257, 499, 289, 535], \"label\": \"chicory seed\"},\n {\"box_2d\": [233, 519, 263, 557], \"label\": \"chicory seed\"},\n {\"box_2d\": [254, 529, 280, 568], \"label\": \"chicory seed\"},\n {\"box_2d\": [251, 567, 279, 609], \"label\": \"chicory seed\"},\n {\"box_2d\": [272, 536, 293, 573], \"label\": \"chicory seed\"},\n {\"box_2d\": [258, 605, 295, 640], \"label\": \"chicory seed\"},\n {\"box_2d\": [251, 636, 291, 665], \"label\": \"chicory seed\"},\n {\"box_2d\": [271, 588, 307, 623], \"label\": \"chicory seed\"},\n {\"box_2d\": [277, 571, 316, 597], \"label\": \"chicory seed\"},\n {\"box_2d\": [277, 718, 321, 740], \"label\": \"chicory seed\"},\n {\"box_2d\": [272, 746, 315, 772], \"label\": \"chicory seed\"},\n {\"box_2d\": [277, 761, 314, 792], \"label\": \"chicory seed\"},\n {\"box_2d\": [287, 255, 315, 294], \"label\": \"chicory seed\"},\n {\"box_2d\": [281, 285, 304, 328], \"label\": \"chicory seed\"},\n {\"box_2d\": [274, 331, 295, 373], \"label\": \"chicory seed\"},\n {\"box_2d\": [293, 322, 320, 365], \"label\": \"chicory seed\"},\n {\"box_2d\": [270, 372, 310, 402], \"label\": \"chicory seed\"},\n {\"box_2d\": [288, 365, 326, 400], \"label\": \"chicory seed\"},\n {\"box_2d\": [281, 400, 302, 442], \"label\": \"chicory seed\"},\n {\"box_2d\": [316, 203, 354, 235], \"label\": \"chicory seed\"},\n {\"box_2d\": [305, 236, 339, 270], \"label\": \"chicory seed\"},\n {\"box_2d\": [313, 269, 344, 311], \"label\": \"chicory seed\"},\n {\"box_2d\": [331, 248, 369, 289], \"label\": \"chicory seed\"},\n {\"box_2d\": [329, 268, 363, 312], \"label\": \"chicory seed\"},\n {\"box_2d\": [305, 296, 331, 340], \"label\": \"chicory seed\"},\n {\"box_2d\": [319, 348, 342, 389], \"label\": \"chicory seed\"},\n {\"box_2d\": [334, 321, 357, 366], \"label\": \"chicory seed\"},\n {\"box_2d\": [347, 313, 373, 357], \"label\": \"chicory seed\"},\n {\"box_2d\": [343, 355, 382, 388], \"label\": \"chicory seed\"},\n {\"box_2d\": [322, 389, 346, 431], \"label\": \"chicory seed\"},\n {\"box_2d\": [342, 388, 368, 430], \"label\": 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{\"box_2d\": [760, 601, 787, 643], \"label\": \"chicory seed\"},\n {\"box_2d\": [690, 638, 715, 681], \"label\": \"chicory seed\"},\n {\"box_2d\": [713, 640, 756, 663], \"label\": \"chicory seed\"},\n {\"box_2d\": [702, 661, 742, 694], \"label\": \"chicory seed\"},\n {\"box_2d\": [684, 680, 719, 719], \"label\": \"chicory seed\"},\n {\"box_2d\": [663, 717, 696, 757], \"label\": \"chicory seed\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 17878, "elapsed_seconds": 104.94829404097982, "metadata": {"match_method": "map", "num_predictions": 302, "num_ground_truth": 303, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3366336524486542, "attempts": 1, "retries": 0, "total_seconds": 105.073}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 120, "image": "Screenshot-2024-05-16-144630_png.rf.ac24f71a7370686a36ea1f2bec910257.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [9, 118, 28, 139], \"label\": \"bullet hole\"},\n {\"box_2d\": [77, 125, 97, 146], \"label\": \"bullet hole\"},\n {\"box_2d\": [166, 138, 190, 159], \"label\": \"bullet hole\"},\n {\"box_2d\": [223, 143, 248, 165], \"label\": \"bullet hole\"},\n {\"box_2d\": [52, 342, 72, 366], \"label\": \"bullet hole\"},\n {\"box_2d\": [113, 341, 136, 365], \"label\": \"bullet hole\"},\n {\"box_2d\": [178, 341, 200, 364], \"label\": \"bullet hole\"},\n {\"box_2d\": [99, 565, 121, 586], \"label\": \"bullet hole\"},\n {\"box_2d\": [213, 507, 236, 530], \"label\": \"bullet hole\"},\n {\"box_2d\": [257, 610, 279, 634], \"label\": \"bullet hole\"},\n {\"box_2d\": [222, 669, 250, 696], \"label\": \"bullet hole\"},\n {\"box_2d\": [68, 807, 91, 832], \"label\": \"bullet hole\"},\n {\"box_2d\": [138, 793, 163, 818], \"label\": \"bullet hole\"},\n {\"box_2d\": [225, 847, 248, 871], \"label\": \"bullet hole\"},\n {\"box_2d\": [331, 834, 358, 859], \"label\": \"bullet hole\"},\n {\"box_2d\": [389, 828, 417, 852], \"label\": \"bullet hole\"},\n {\"box_2d\": [320, 667, 343, 694], \"label\": \"bullet hole\"},\n {\"box_2d\": [312, 558, 336, 583], \"label\": \"bullet hole\"},\n {\"box_2d\": [359, 605, 383, 631], \"label\": \"bullet hole\"},\n {\"box_2d\": [348, 274, 376, 300], \"label\": \"bullet hole\"},\n {\"box_2d\": [424, 219, 447, 244], \"label\": \"bullet hole\"},\n {\"box_2d\": [473, 156, 488, 173], \"label\": \"bullet hole\"},\n {\"box_2d\": [568, 92, 594, 118], \"label\": \"bullet hole\"},\n {\"box_2d\": [631, 35, 649, 55], \"label\": \"bullet hole\"},\n {\"box_2d\": [567, 270, 592, 294], \"label\": \"bullet hole\"},\n {\"box_2d\": [612, 246, 633, 271], \"label\": \"bullet hole\"},\n {\"box_2d\": [580, 362, 603, 386], \"label\": \"bullet hole\"},\n {\"box_2d\": [528, 460, 555, 487], \"label\": \"bullet hole\"},\n {\"box_2d\": [586, 610, 611, 634], \"label\": \"bullet hole\"},\n {\"box_2d\": [685, 606, 711, 633], \"label\": \"bullet hole\"},\n {\"box_2d\": [684, 449, 710, 476], \"label\": \"bullet hole\"},\n {\"box_2d\": [720, 354, 744, 382], \"label\": \"bullet hole\"},\n {\"box_2d\": [745, 259, 765, 285], \"label\": \"bullet hole\"},\n {\"box_2d\": [741, 172, 764, 194], \"label\": \"bullet hole\"},\n {\"box_2d\": [794, 236, 820, 257], \"label\": \"bullet hole\"},\n {\"box_2d\": [781, 341, 806, 363], \"label\": \"bullet hole\"},\n {\"box_2d\": [854, 321, 880, 343], \"label\": \"bullet hole\"},\n {\"box_2d\": [927, 168, 946, 189], \"label\": \"bullet hole\"},\n {\"box_2d\": [812, 517, 835, 540], \"label\": \"bullet hole\"},\n {\"box_2d\": [879, 453, 907, 482], \"label\": \"bullet hole\"},\n {\"box_2d\": [935, 537, 955, 562], \"label\": \"bullet hole\"},\n {\"box_2d\": [860, 608, 882, 635], \"label\": \"bullet hole\"},\n {\"box_2d\": [890, 780, 914, 804], \"label\": \"bullet hole\"},\n {\"box_2d\": [893, 886, 918, 909], \"label\": \"bullet hole\"}\n]\n```", "correct": false, "input_tokens": 1222, "output_tokens": 4367, "elapsed_seconds": 34.697429958032444, "metadata": {"match_method": "map", "num_predictions": 44, "num_ground_truth": 44, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6941938400268555, "attempts": 1, "retries": 0, "total_seconds": 34.7248}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 121, "image": "GP010255_JPG_jpg.rf.a9c124de642391662cf0875377214d1e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [95, 345, 245, 557], \"label\": \"carrot\"},\n {\"box_2d\": [66, 521, 167, 780], \"label\": \"carrot\"},\n {\"box_2d\": [127, 511, 200, 766], \"label\": \"carrot\"},\n {\"box_2d\": [138, 281, 287, 417], \"label\": \"carrot\"},\n {\"box_2d\": [176, 378, 299, 620], \"label\": \"carrot\"},\n {\"box_2d\": [210, 315, 341, 391], \"label\": \"carrot\"},\n {\"box_2d\": [188, 595, 342, 777], \"label\": \"carrot\"},\n {\"box_2d\": [273, 427, 417, 616], \"label\": \"carrot\"},\n {\"box_2d\": [242, 343, 434, 442], \"label\": \"carrot\"},\n {\"box_2d\": [314, 305, 490, 366], \"label\": \"carrot\"},\n {\"box_2d\": [309, 646, 463, 791], \"label\": \"carrot\"},\n {\"box_2d\": [444, 279, 709, 342], \"label\": \"carrot\"},\n {\"box_2d\": [437, 329, 480, 518], \"label\": \"carrot\"},\n {\"box_2d\": [463, 377, 617, 472], \"label\": \"carrot\"},\n {\"box_2d\": [497, 369, 704, 461], \"label\": \"carrot\"},\n {\"box_2d\": [382, 515, 633, 571], \"label\": \"carrot\"},\n {\"box_2d\": [518, 467, 718, 519], \"label\": \"carrot\"},\n {\"box_2d\": [573, 491, 764, 588], \"label\": \"carrot\"},\n {\"box_2d\": [492, 556, 728, 634], \"label\": \"carrot\"},\n {\"box_2d\": [461, 627, 675, 687], \"label\": \"carrot\"},\n {\"box_2d\": [462, 685, 694, 763], \"label\": \"carrot\"},\n {\"box_2d\": [666, 634, 813, 795], \"label\": \"carrot\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 1781, "elapsed_seconds": 16.116234040935524, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 16.1417}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 122, "image": "20210325_203749_jpg.rf.1705fa1e1420cef9584e0f51c930586c.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [200, 135, 405, 349], \"label\": \"50 euro cent coin\"},\n {\"box_2d\": [135, 425, 327, 620], \"label\": \"1 euro coin\"},\n {\"box_2d\": [159, 683, 323, 852], \"label\": \"10 euro cent coin\"},\n {\"box_2d\": [365, 481, 505, 620], \"label\": \"1 euro cent coin\"},\n {\"box_2d\": [440, 228, 603, 394], \"label\": \"2 euro cent coin\"},\n {\"box_2d\": [384, 749, 563, 933], \"label\": \"5 euro cent coin\"},\n {\"box_2d\": [612, 417, 804, 609], \"label\": \"20 euro cent coin\"},\n {\"box_2d\": [611, 634, 835, 858], \"label\": \"2 euro coin\"}\n]\n```", "correct": true, "input_tokens": 1272, "output_tokens": 1050, "elapsed_seconds": 9.903608500026166, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 9.9157}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 123, "image": "53_jpeg_jpg.rf.827706d6e6ec3d14c5952c8d4c752e99.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [90, 380, 206, 491], \"label\": \"potato\"},\n {\"box_2d\": [130, 956, 250, 1000], \"label\": \"potato\"},\n {\"box_2d\": [313, 847, 427, 952], \"label\": \"potato\"},\n {\"box_2d\": [490, 574, 621, 690], \"label\": \"potato\"},\n {\"box_2d\": [519, 698, 624, 801], \"label\": \"potato\"},\n {\"box_2d\": [512, 844, 623, 949], \"label\": \"potato\"},\n {\"box_2d\": [711, 67, 800, 194], \"label\": \"potato\"},\n {\"box_2d\": [714, 415, 856, 501], \"label\": \"potato\"},\n {\"box_2d\": [720, 625, 822, 718], \"label\": \"potato\"},\n {\"box_2d\": [716, 890, 804, 970], \"label\": \"potato\"},\n {\"box_2d\": [919, 13, 1000, 109], \"label\": \"potato\"},\n {\"box_2d\": [923, 437, 1000, 527], \"label\": \"potato\"},\n {\"box_2d\": [921, 676, 1000, 771], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1240, "output_tokens": 1282, "elapsed_seconds": 12.575614166096784, "metadata": {"match_method": "map", "num_predictions": 13, "num_ground_truth": 13, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 12.6075}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 124, "image": "car-part-detection_Car-damages-1749_png_jpg.rf.841bd72a48ea0726dc55d3cf93207af1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [434, 74, 548, 127], \"label\": \"tail light\"},\n {\"box_2d\": [562, 58, 726, 133], \"label\": \"back bumper\"},\n {\"box_2d\": [278, 198, 724, 465], \"label\": \"back door\"},\n {\"box_2d\": [280, 448, 724, 742], \"label\": \"front door\"},\n {\"box_2d\": [407, 673, 470, 712], \"label\": \"mirror\"},\n {\"box_2d\": [402, 740, 466, 923], \"label\": \"hood\"},\n {\"box_2d\": [573, 895, 712, 988], \"label\": \"front bumper\"},\n {\"box_2d\": [284, 452, 461, 685], \"label\": \"front window\"},\n {\"box_2d\": [282, 204, 443, 435], \"label\": \"back window\"}\n]\n```", "correct": false, "input_tokens": 1246, "output_tokens": 954, "elapsed_seconds": 11.489487666985951, "metadata": {"match_method": "map", "num_predictions": 9, "num_ground_truth": 13, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5420791506767273, "attempts": 1, "retries": 0, "total_seconds": 11.515}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 125, "image": "1704196661687_jpg.rf.15374227e4fbd79145880dc340991d51.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [75, 450, 173, 522], \"label\": \"bean grain\"},\n {\"box_2d\": [111, 583, 198, 678], \"label\": \"bean grain\"},\n {\"box_2d\": [200, 141, 286, 214], \"label\": \"bean grain\"},\n {\"box_2d\": [188, 305, 297, 380], \"label\": \"bean grain\"},\n {\"box_2d\": [216, 534, 298, 642], \"label\": \"bean grain\"},\n {\"box_2d\": [189, 816, 272, 911], \"label\": \"bean grain\"},\n {\"box_2d\": [373, 134, 447, 241], \"label\": \"bean grain\"},\n {\"box_2d\": [455, 381, 539, 480], \"label\": \"bean grain\"},\n {\"box_2d\": [386, 716, 495, 795], \"label\": \"bean grain\"},\n {\"box_2d\": [609, 158, 694, 269], \"label\": \"bean grain\"},\n {\"box_2d\": [645, 403, 714, 502], \"label\": \"bean grain\"},\n {\"box_2d\": [547, 562, 625, 666], \"label\": \"bean grain\"},\n {\"box_2d\": [538, 858, 612, 964], \"label\": \"bean grain\"},\n {\"box_2d\": [638, 762, 703, 864], \"label\": \"bean grain\"},\n {\"box_2d\": [802, 342, 891, 439], \"label\": \"bean grain\"},\n {\"box_2d\": [753, 558, 844, 650], \"label\": \"bean grain\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 1607, "elapsed_seconds": 14.591197750065476, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 14.6046}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 126, "image": "fall-detection_13_mp4-274_jpg.rf.81d37af519564fd17e00cbdde20bedcf.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [385, 472, 433, 539], \"label\": \"fallen person\"},\n {\"box_2d\": [386, 534, 446, 629], \"label\": \"fallen person\"},\n {\"box_2d\": [424, 592, 472, 725], \"label\": \"fallen person\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 516, "elapsed_seconds": 6.865173666039482, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 6.8761}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 127, "image": "tile_672_jpg.rf.563bc07bfb63272303ba7c8beec3dfd0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [22, 441, 79, 472], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [219, 712, 260, 736], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [332, 829, 355, 850], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [374, 334, 395, 366], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [436, 682, 472, 704], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [469, 828, 521, 862], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [514, 366, 539, 389], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [608, 425, 628, 449], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [602, 690, 628, 706], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [690, 824, 734, 858], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [875, 848, 921, 874], \"label\": \"ship in SAR satellite image\"}\n]\n```", "correct": true, "input_tokens": 1229, "output_tokens": 1479, "elapsed_seconds": 16.863286875071935, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9108911156654358, "attempts": 1, "retries": 0, "total_seconds": 16.8934}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 128, "image": "Screenshot-2024-05-16-150353_png.rf.28f931ef1556f4fbfc5b8964a85b5e08.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [18, 35, 53, 66], \"label\": \"bullet hole\"},\n {\"box_2d\": [61, 154, 95, 182], \"label\": \"bullet hole\"},\n {\"box_2d\": [106, 80, 141, 112], \"label\": \"bullet hole\"},\n {\"box_2d\": [205, 11, 244, 43], \"label\": \"bullet hole\"},\n {\"box_2d\": [204, 161, 240, 194], \"label\": \"bullet hole\"},\n {\"box_2d\": [299, 68, 335, 102], \"label\": \"bullet hole\"},\n {\"box_2d\": [375, 1, 409, 32], \"label\": \"bullet hole\"},\n {\"box_2d\": [431, 83, 463, 115], \"label\": \"bullet hole\"},\n {\"box_2d\": [510, 56, 543, 88], \"label\": \"bullet hole\"},\n {\"box_2d\": [326, 224, 360, 255], \"label\": \"bullet hole\"},\n {\"box_2d\": [251, 282, 286, 316], \"label\": \"bullet hole\"},\n {\"box_2d\": [388, 255, 422, 287], \"label\": \"bullet hole\"},\n {\"box_2d\": [460, 301, 493, 332], \"label\": \"bullet hole\"},\n {\"box_2d\": [70, 336, 104, 367], \"label\": \"bullet hole\"},\n {\"box_2d\": [29, 414, 62, 446], \"label\": \"bullet hole\"},\n {\"box_2d\": [194, 375, 226, 405], \"label\": \"bullet hole\"},\n {\"box_2d\": [180, 467, 214, 499], \"label\": \"bullet hole\"},\n {\"box_2d\": [81, 598, 113, 629], \"label\": \"bullet hole\"},\n {\"box_2d\": [111, 763, 144, 795], \"label\": \"bullet hole\"},\n {\"box_2d\": [123, 895, 157, 926], \"label\": \"bullet hole\"},\n {\"box_2d\": [338, 764, 369, 794], \"label\": \"bullet hole\"},\n {\"box_2d\": [431, 620, 462, 654], \"label\": \"bullet hole\"},\n {\"box_2d\": [587, 673, 621, 704], \"label\": \"bullet hole\"},\n {\"box_2d\": [550, 799, 579, 829], \"label\": \"bullet hole\"},\n {\"box_2d\": [734, 646, 766, 677], \"label\": \"bullet hole\"},\n {\"box_2d\": [795, 760, 827, 790], \"label\": \"bullet hole\"},\n {\"box_2d\": [711, 315, 738, 345], \"label\": \"bullet hole\"},\n {\"box_2d\": [709, 151, 745, 182], \"label\": \"bullet hole\"},\n {\"box_2d\": [811, 108, 845, 138], \"label\": \"bullet hole\"},\n {\"box_2d\": [826, 184, 859, 213], \"label\": \"bullet hole\"},\n {\"box_2d\": [809, 321, 839, 352], \"label\": \"bullet hole\"},\n {\"box_2d\": [918, 176, 947, 206], \"label\": \"bullet hole\"}\n]\n```", "correct": false, "input_tokens": 1222, "output_tokens": 2426, "elapsed_seconds": 22.580181916011497, "metadata": {"match_method": "map", "num_predictions": 32, "num_ground_truth": 34, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5034178495407104, "attempts": 1, "retries": 0, "total_seconds": 22.5932}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 129, "image": "9999942_00000_d_0000179_jpg.rf.00eabf74c1cd10c40aa228a466f9fe04.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [359, 15, 412, 59], \"label\": \"car\"},\n {\"box_2d\": [364, 57, 416, 100], \"label\": \"car\"},\n {\"box_2d\": [343, 0, 396, 22], \"label\": \"car\"},\n {\"box_2d\": [334, 138, 391, 171], \"label\": \"van\"},\n {\"box_2d\": [329, 187, 381, 223], \"label\": \"car\"},\n {\"box_2d\": [334, 250, 369, 299], \"label\": \"car\"},\n {\"box_2d\": [302, 277, 330, 325], \"label\": \"car\"},\n {\"box_2d\": [299, 378, 329, 424], \"label\": \"car\"},\n {\"box_2d\": [375, 372, 408, 421], \"label\": \"car\"},\n {\"box_2d\": [433, 355, 469, 409], \"label\": \"car\"},\n {\"box_2d\": [465, 345, 504, 399], \"label\": \"car\"},\n {\"box_2d\": [612, 130, 661, 199], \"label\": \"car\"},\n {\"box_2d\": [653, 112, 706, 178], \"label\": \"car\"},\n {\"box_2d\": [720, 256, 745, 274], \"label\": \"person\"},\n {\"box_2d\": [80, 393, 103, 422], \"label\": \"car\"},\n {\"box_2d\": [306, 681, 342, 720], \"label\": \"car\"},\n {\"box_2d\": [175, 833, 273, 877], \"label\": \"bus\"},\n {\"box_2d\": [40, 763, 101, 785], \"label\": \"bus\"},\n {\"box_2d\": [327, 969, 366, 996], \"label\": \"car\"},\n {\"box_2d\": [113, 976, 148, 999], \"label\": \"van\"},\n {\"box_2d\": [74, 936, 130, 966], \"label\": \"truck\"},\n {\"box_2d\": [49, 912, 68, 927], \"label\": \"car\"},\n {\"box_2d\": [249, 810, 270, 819], \"label\": \"person\"}\n]\n```", "correct": false, "input_tokens": 1217, "output_tokens": 1983, "elapsed_seconds": 19.06120837503113, "metadata": {"match_method": "map", "num_predictions": 23, "num_ground_truth": 36, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3781839609146118, "attempts": 1, "retries": 0, "total_seconds": 19.1302}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 130, "image": "125_jpg.rf.c69f3d1b75a33297315d1889af6311e9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [508, 151, 632, 187], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [349, 267, 391, 305], \"label\": \"resistor symbol\"},\n {\"box_2d\": [529, 372, 690, 395], \"label\": \"resistor symbol\"},\n {\"box_2d\": [345, 463, 387, 509], \"label\": \"resistor symbol\"},\n {\"box_2d\": [552, 635, 720, 658], \"label\": \"resistor symbol\"},\n {\"box_2d\": [356, 720, 406, 773], \"label\": \"resistor symbol\"},\n {\"box_2d\": [146, 734, 249, 783], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [517, 839, 644, 861], \"label\": \"resistor symbol\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 997, "elapsed_seconds": 10.493217209004797, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 10.4986}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 131, "image": "IMG_20250815_164311_jpg.rf.83efd32a603d001fd15e3979d744bb04.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [551, 184, 616, 260], \"label\": \"barcode\"},\n {\"box_2d\": [628, 694, 697, 771], \"label\": \"barcode\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 375, "elapsed_seconds": 9.994687667000107, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 10.314}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 132, "image": "Container-259_jpg.rf.0707fcc208504e8c70d360815ec87ed2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [236, 582, 293, 731], \"label\": \"shipping container number\"},\n {\"box_2d\": [289, 580, 321, 639], \"label\": \"container ISO type code\"}\n]\n```", "correct": true, "input_tokens": 1232, "output_tokens": 402, "elapsed_seconds": 5.433989749988541, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 5.4508}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 133, "image": "1704195139360_jpg.rf.325f2c91dbc2bf8869d0a95b29652b2f.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [119, 738, 161, 783], \"label\": \"lentil grain\"},\n {\"box_2d\": [205, 436, 250, 484], \"label\": \"lentil grain\"},\n {\"box_2d\": [303, 822, 341, 869], \"label\": \"lentil grain\"},\n {\"box_2d\": [309, 750, 348, 792], \"label\": \"lentil grain\"},\n {\"box_2d\": [336, 562, 373, 606], \"label\": \"lentil grain\"},\n {\"box_2d\": [412, 252, 455, 297], \"label\": \"lentil grain\"},\n {\"box_2d\": [470, 614, 509, 655], \"label\": \"lentil grain\"},\n {\"box_2d\": [533, 862, 575, 909], \"label\": \"lentil grain\"},\n {\"box_2d\": [555, 431, 592, 475], \"label\": \"lentil grain\"},\n {\"box_2d\": [614, 614, 655, 661], \"label\": \"lentil grain\"},\n {\"box_2d\": [630, 534, 672, 578], \"label\": \"lentil grain\"},\n {\"box_2d\": [750, 742, 792, 794], \"label\": \"lentil grain\"},\n {\"box_2d\": [795, 434, 836, 481], \"label\": \"lentil grain\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 1133, "elapsed_seconds": 11.6660453339573, "metadata": {"match_method": "map", "num_predictions": 13, "num_ground_truth": 13, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 11.6848}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 134, "image": "IMG_20250815_165037_jpg.rf.d4afcf541c2eaa2a500b0fc3e74f380a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [121, 265, 212, 312], \"label\": \"barcode\"},\n {\"box_2d\": [301, 427, 342, 471], \"label\": \"barcode\"},\n {\"box_2d\": [272, 566, 310, 608], \"label\": \"barcode\"},\n {\"box_2d\": [279, 843, 360, 882], \"label\": \"barcode\"},\n {\"box_2d\": [795, 220, 889, 268], \"label\": \"barcode\"},\n {\"box_2d\": [810, 429, 898, 474], \"label\": \"barcode\"},\n {\"box_2d\": [803, 664, 890, 706], \"label\": \"barcode\"},\n {\"box_2d\": [760, 823, 798, 860], \"label\": \"barcode\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 1074, "elapsed_seconds": 16.158290833001956, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 16.4329}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 135, "image": "frame_0213_jpg.rf.a492e6ad2bcd535fad151a853f122d53.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [77, 126, 144, 168], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [86, 253, 149, 291], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [171, 231, 235, 273], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [164, 348, 229, 387], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [49, 411, 111, 451], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [188, 455, 247, 490], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [271, 442, 335, 477], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [103, 553, 169, 587], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [60, 618, 118, 652], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [211, 547, 271, 581], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [282, 544, 341, 580], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [419, 547, 485, 583], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [421, 466, 485, 506], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [425, 233, 496, 274], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [535, 364, 612, 408], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [622, 361, 697, 405], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [633, 241, 706, 283], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [736, 348, 825, 395], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [708, 451, 792, 495], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [833, 469, 914, 512], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [676, 553, 748, 611], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [556, 561, 628, 605], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [543, 668, 610, 708], \"label\": \"garlic on conveyor\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 2917, "elapsed_seconds": 25.841695750015788, "metadata": {"match_method": "map", "num_predictions": 23, "num_ground_truth": 23, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 25.9322}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 136, "image": "1668147836__jpg.rf.c1a720811dddd913a56ced8dd87e3a53.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [51, 362, 109, 389], \"label\": \"three die\"},\n {\"box_2d\": [46, 714, 108, 745], \"label\": \"five die\"},\n {\"box_2d\": [243, 141, 309, 178], \"label\": \"two die\"},\n {\"box_2d\": [245, 179, 300, 208], \"label\": \"one die\"},\n {\"box_2d\": [274, 283, 329, 311], \"label\": \"four die\"},\n {\"box_2d\": [232, 409, 288, 437], \"label\": \"two die\"},\n {\"box_2d\": [259, 565, 325, 599], \"label\": \"five die\"},\n {\"box_2d\": [213, 741, 274, 773], \"label\": \"three die\"},\n {\"box_2d\": [339, 480, 396, 509], \"label\": \"six die\"},\n {\"box_2d\": [313, 526, 378, 560], \"label\": \"five die\"},\n {\"box_2d\": [344, 564, 398, 592], \"label\": \"three die\"},\n {\"box_2d\": [399, 569, 459, 601], \"label\": \"one die\"},\n {\"box_2d\": [372, 657, 427, 686], \"label\": \"one die\"},\n {\"box_2d\": [340, 731, 405, 767], \"label\": \"four die\"},\n {\"box_2d\": [403, 350, 456, 377], \"label\": \"four die\"},\n {\"box_2d\": [427, 379, 486, 411], \"label\": \"five die\"},\n {\"box_2d\": [461, 315, 524, 349], \"label\": \"five die\"},\n {\"box_2d\": [467, 568, 523, 597], \"label\": \"three die\"},\n {\"box_2d\": [428, 798, 485, 830], \"label\": \"six die\"},\n {\"box_2d\": [433, 827, 496, 860], \"label\": \"three die\"},\n {\"box_2d\": [493, 148, 553, 181], \"label\": \"five die\"},\n {\"box_2d\": [523, 274, 581, 304], \"label\": \"five die\"},\n {\"box_2d\": [567, 283, 626, 315], \"label\": \"five die\"},\n {\"box_2d\": [583, 349, 637, 378], \"label\": \"three die\"},\n {\"box_2d\": [532, 458, 596, 492], \"label\": \"six die\"},\n {\"box_2d\": [536, 628, 591, 657], \"label\": \"four die\"},\n {\"box_2d\": [604, 568, 658, 597], \"label\": \"five die\"},\n {\"box_2d\": [545, 847, 607, 882], \"label\": \"one die\"},\n {\"box_2d\": [559, 902, 620, 938], \"label\": \"two die\"},\n {\"box_2d\": [618, 139, 680, 174], \"label\": \"five die\"},\n {\"box_2d\": [647, 190, 704, 223], \"label\": \"six die\"},\n {\"box_2d\": [660, 274, 715, 305], \"label\": \"five die\"},\n {\"box_2d\": [711, 277, 761, 305], \"label\": \"six die\"},\n {\"box_2d\": [758, 183, 821, 217], \"label\": \"five die\"},\n {\"box_2d\": [725, 210, 787, 245], \"label\": \"five die\"},\n {\"box_2d\": [732, 244, 788, 274], \"label\": \"two die\"},\n {\"box_2d\": [758, 271, 811, 301], \"label\": \"five die\"},\n {\"box_2d\": [811, 241, 870, 274], \"label\": \"six die\"},\n {\"box_2d\": [784, 300, 840, 330], \"label\": \"five die\"},\n {\"box_2d\": [633, 436, 697, 471], \"label\": \"four die\"},\n {\"box_2d\": [734, 463, 793, 494], \"label\": \"four die\"},\n {\"box_2d\": [696, 509, 750, 537], \"label\": \"six die\"},\n {\"box_2d\": [894, 404, 956, 438], \"label\": \"one die\"},\n {\"box_2d\": [642, 761, 695, 790], \"label\": \"six die\"},\n {\"box_2d\": [748, 718, 811, 752], \"label\": \"three die\"},\n {\"box_2d\": [756, 793, 815, 826], \"label\": \"five die\"},\n {\"box_2d\": [723, 825, 781, 858], \"label\": \"four die\"},\n {\"box_2d\": [799, 823, 853, 854], \"label\": \"two die\"},\n {\"box_2d\": [804, 909, 859, 942], \"label\": \"two die\"},\n {\"box_2d\": [912, 777, 962, 806], \"label\": \"two die\"}\n]\n```", "correct": false, "input_tokens": 1252, "output_tokens": 4470, "elapsed_seconds": 37.10707149992231, "metadata": {"match_method": "map", "num_predictions": 50, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6555816531181335, "attempts": 1, "retries": 0, "total_seconds": 37.1509}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 137, "image": "Lego_170_high_jpeg.rf.173b945a080a292465fe84cab83086af.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [116, 95, 215, 207], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [86, 238, 152, 341], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [149, 306, 206, 393], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [195, 84, 281, 182], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [195, 148, 269, 253], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [251, 155, 314, 264], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [364, 36, 444, 137], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [393, 102, 479, 198], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [331, 297, 377, 400], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [225, 497, 330, 599], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [260, 575, 344, 650], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [398, 378, 492, 425], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [380, 427, 452, 526], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [472, 391, 556, 480], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [473, 464, 567, 545], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [521, 256, 592, 361], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [547, 346, 623, 458], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [590, 319, 666, 430], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [618, 415, 688, 501], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [636, 102, 695, 195], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [647, 217, 745, 291], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [653, 253, 725, 341], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [695, 281, 764, 384], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [716, 423, 801, 499], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [696, 474, 756, 578], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [749, 496, 847, 566], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [116, 735, 174, 832], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [118, 878, 162, 974], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [176, 813, 268, 917], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [335, 752, 410, 838], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [408, 769, 487, 833], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [485, 710, 581, 768], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [538, 756, 639, 825], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [585, 928, 665, 991], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [711, 700, 797, 780], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [668, 780, 766, 834], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [670, 825, 740, 906], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [734, 826, 810, 892], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [702, 896, 785, 961], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [804, 813, 883, 898], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [850, 797, 929, 880], \"label\": \"lego 3x2 brick\"}\n]\n```", "correct": true, "input_tokens": 1244, "output_tokens": 4094, "elapsed_seconds": 33.467396249994636, "metadata": {"match_method": "map", "num_predictions": 41, "num_ground_truth": 42, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9603960514068604, "attempts": 1, "retries": 0, "total_seconds": 33.5321}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 138, "image": "DJI_0290_JPG_jpg.rf.052c45a410708d5965bfee1fe9dd1918.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [485, 369, 588, 483], \"label\": \"excavator\"},\n {\"box_2d\": [318, 194, 372, 245], \"label\": \"excavator\"},\n {\"box_2d\": [288, 417, 362, 489], \"label\": \"concrete mixer\"},\n {\"box_2d\": [133, 217, 173, 251], \"label\": \"concrete mixer\"},\n {\"box_2d\": [198, 302, 249, 348], \"label\": \"dump truck\"},\n {\"box_2d\": [449, 835, 529, 932], \"label\": \"dump truck\"},\n {\"box_2d\": [40, 0, 1000, 165], \"label\": \"tower crane\"}\n]\n```", "correct": true, "input_tokens": 1209, "output_tokens": 1031, "elapsed_seconds": 51.44135629211087, "metadata": {"match_method": "map", "num_predictions": 7, "num_ground_truth": 6, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 52.2595}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 139, "image": "oil-tank-detection_oiltank_165_jpg.rf.7a5e38aa38fc11f1234038d454ec044d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [579, 13, 710, 123], \"label\": \"oil tank\"},\n {\"box_2d\": [576, 130, 709, 239], \"label\": \"oil tank\"},\n {\"box_2d\": [574, 245, 706, 355], \"label\": \"oil tank\"},\n {\"box_2d\": [553, 359, 699, 479], \"label\": \"oil tank\"},\n {\"box_2d\": [550, 489, 696, 608], \"label\": \"oil tank\"},\n {\"box_2d\": [546, 616, 694, 737], \"label\": \"oil tank\"},\n {\"box_2d\": [541, 743, 691, 868], \"label\": \"oil tank\"},\n {\"box_2d\": [719, 12, 855, 123], \"label\": \"oil tank\"},\n {\"box_2d\": [715, 130, 853, 241], \"label\": \"oil tank\"},\n {\"box_2d\": [712, 246, 850, 356], \"label\": \"oil tank\"},\n {\"box_2d\": [708, 363, 860, 487], \"label\": \"oil tank\"},\n {\"box_2d\": [706, 492, 859, 615], \"label\": \"oil tank\"},\n {\"box_2d\": [702, 620, 855, 744], \"label\": \"oil tank\"},\n {\"box_2d\": [699, 750, 851, 875], \"label\": \"oil tank\"}\n]\n```", "correct": true, "input_tokens": 1217, "output_tokens": 1413, "elapsed_seconds": 12.857598125003278, "metadata": {"match_method": "map", "num_predictions": 14, "num_ground_truth": 14, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 12.9185}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 140, "image": "img268_png.rf.77932c9124f7e63f288e2be4179d983b.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [30, 389, 111, 457], \"label\": \"and gate symbol\"},\n {\"box_2d\": [78, 250, 111, 298], \"label\": \"not gate symbol\"},\n {\"box_2d\": [80, 546, 161, 615], \"label\": \"and gate symbol\"},\n {\"box_2d\": [154, 409, 187, 457], \"label\": \"not gate symbol\"},\n {\"box_2d\": [153, 702, 236, 773], \"label\": \"or gate symbol\"},\n {\"box_2d\": [228, 547, 309, 615], \"label\": \"and gate symbol\"},\n {\"box_2d\": [278, 410, 311, 457], \"label\": \"not gate symbol\"},\n {\"box_2d\": [277, 860, 360, 931], \"label\": \"or gate symbol\"},\n {\"box_2d\": [353, 547, 434, 615], \"label\": \"and gate symbol\"},\n {\"box_2d\": [403, 704, 484, 774], \"label\": \"and gate symbol\"},\n {\"box_2d\": [477, 567, 510, 616], \"label\": \"not gate symbol\"},\n {\"box_2d\": [551, 250, 586, 299], \"label\": \"not gate symbol\"},\n {\"box_2d\": [551, 388, 634, 457], \"label\": \"and gate symbol\"},\n {\"box_2d\": [626, 250, 661, 299], \"label\": \"not gate symbol\"},\n {\"box_2d\": [601, 547, 683, 615], \"label\": \"and gate symbol\"},\n {\"box_2d\": [650, 702, 733, 773], \"label\": \"or gate symbol\"},\n {\"box_2d\": [723, 410, 761, 457], \"label\": \"not gate symbol\"},\n {\"box_2d\": [724, 547, 807, 615], \"label\": \"and gate symbol\"},\n {\"box_2d\": [750, 860, 833, 931], \"label\": \"or gate symbol\"},\n {\"box_2d\": [849, 410, 886, 457], \"label\": \"not gate symbol\"},\n {\"box_2d\": [850, 546, 931, 615], \"label\": \"and gate symbol\"},\n {\"box_2d\": [876, 704, 956, 774], \"label\": \"and gate symbol\"}\n]\n```", "correct": true, "input_tokens": 1231, "output_tokens": 2267, "elapsed_seconds": 23.96614291705191, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 23.9786}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 141, "image": "170211-2-h_JPG_jpg.rf.4b0d2b71f289bdb00cd0502c7a7a2a5d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [245, 464, 930, 567], \"label\": \"insulator flashover\"}\n]\n```", "correct": false, "input_tokens": 1218, "output_tokens": 571, "elapsed_seconds": 17.506046124966815, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 17.987}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 142, "image": "floorplan-windows-doors_10361_png.rf.0282a156e3e18e32c9b31eca83a8df92.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [90, 121, 152, 198], \"label\": \"door\"},\n {\"box_2d\": [150, 767, 203, 820], \"label\": \"door\"},\n {\"box_2d\": [286, 769, 342, 825], \"label\": \"door\"},\n {\"box_2d\": [357, 704, 412, 767], \"label\": \"door\"},\n {\"box_2d\": [482, 591, 538, 655], \"label\": \"door\"},\n {\"box_2d\": [545, 721, 603, 785], \"label\": \"door\"},\n {\"box_2d\": [549, 476, 606, 540], \"label\": \"door\"},\n {\"box_2d\": [612, 476, 670, 540], \"label\": \"door\"},\n {\"box_2d\": [728, 589, 792, 658], \"label\": \"door\"},\n {\"box_2d\": [869, 588, 941, 658], \"label\": \"door\"},\n {\"box_2d\": [188, 175, 286, 199], \"label\": \"window\"},\n {\"box_2d\": [313, 174, 410, 199], \"label\": \"window\"},\n {\"box_2d\": [436, 174, 534, 199], \"label\": \"window\"},\n {\"box_2d\": [636, 174, 735, 199], \"label\": \"window\"},\n {\"box_2d\": [867, 290, 890, 396], \"label\": \"window\"},\n {\"box_2d\": [869, 778, 892, 886], \"label\": \"window\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 1985, "elapsed_seconds": 16.051788458018564, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 16.1179}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 143, "image": "IMG_0588_jpeg.rf.ff3a785b0ac1ba5a56ab8eed6ca615a1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [34, 573, 95, 647], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [247, 549, 314, 628], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [238, 742, 316, 818], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [378, 481, 475, 533], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [440, 629, 513, 703], \"label\": \"caramel corn jelly bean\"},\n {\"box_2d\": [619, 554, 718, 603], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [628, 735, 735, 785], \"label\": \"mixed berry smoothie jelly bean\"}\n]\n```", "correct": true, "input_tokens": 1219, "output_tokens": 810, "elapsed_seconds": 9.204063915996812, "metadata": {"match_method": "map", "num_predictions": 7, "num_ground_truth": 7, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 9.2427}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 144, "image": "signatures_image_100_png_jpg.rf.1b732e075f2453b4400e76d3923fe526.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [322, 73, 396, 434], \"label\": \"signature\"},\n {\"box_2d\": [345, 526, 390, 892], \"label\": \"signature\"},\n {\"box_2d\": [463, 125, 543, 451], \"label\": \"signature\"},\n {\"box_2d\": [450, 555, 517, 822], \"label\": \"signature\"},\n {\"box_2d\": [584, 108, 641, 429], \"label\": \"signature\"}\n]\n```", "correct": true, "input_tokens": 1200, "output_tokens": 541, "elapsed_seconds": 5.823297041933984, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 5.8318}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 145, "image": "paper-parts_8548_70_jpg.rf.61a39e9181e5ebef57cae728c932b730.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [99, 200, 394, 825], \"label\": \"figure\"},\n {\"box_2d\": [400, 117, 431, 882], \"label\": \"figure caption\"},\n {\"box_2d\": [481, 117, 512, 882], \"label\": \"table caption\"},\n {\"box_2d\": [529, 108, 583, 891], \"label\": \"table\"},\n {\"box_2d\": [633, 118, 654, 312], \"label\": \"subsection\"},\n {\"box_2d\": [674, 117, 725, 883], \"label\": \"paragraph\"},\n {\"box_2d\": [741, 305, 759, 882], \"label\": \"equation\"},\n {\"box_2d\": [778, 117, 881, 883], \"label\": \"paragraph\"},\n {\"box_2d\": [900, 490, 913, 509], \"label\": \"page number\"}\n]\n```", "correct": true, "input_tokens": 1255, "output_tokens": 1028, "elapsed_seconds": 14.148624749970622, "metadata": {"match_method": "map", "num_predictions": 9, "num_ground_truth": 9, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8749998807907104, "attempts": 1, "retries": 0, "total_seconds": 14.1869}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 146, "image": "19_jpeg_jpg.rf.34c89435b5ff9122cacb0cab18a49f99.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [32, 19, 126, 105], \"label\": \"potato\"},\n {\"box_2d\": [219, 0, 314, 83], \"label\": \"potato\"},\n {\"box_2d\": [403, 64, 500, 154], \"label\": \"potato\"},\n {\"box_2d\": [602, 57, 711, 178], \"label\": \"potato\"},\n {\"box_2d\": [789, 34, 902, 144], \"label\": \"potato\"},\n {\"box_2d\": [7, 331, 98, 429], \"label\": \"potato\"},\n {\"box_2d\": [184, 277, 297, 357], \"label\": \"potato\"},\n {\"box_2d\": [188, 395, 294, 478], \"label\": \"potato\"},\n {\"box_2d\": [403, 327, 507, 414], \"label\": \"potato\"},\n {\"box_2d\": [397, 488, 513, 570], \"label\": \"potato\"},\n {\"box_2d\": [196, 548, 307, 667], \"label\": \"potato\"},\n {\"box_2d\": [827, 486, 932, 583], \"label\": \"potato\"},\n {\"box_2d\": [21, 783, 132, 895], \"label\": \"potato\"},\n {\"box_2d\": [215, 790, 320, 902], \"label\": \"potato\"},\n {\"box_2d\": [393, 709, 526, 795], \"label\": \"potato\"},\n {\"box_2d\": [607, 780, 716, 866], \"label\": \"potato\"},\n {\"box_2d\": [842, 933, 952, 1000], \"label\": \"potato\"},\n {\"box_2d\": [355, 980, 500, 1000], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1240, "output_tokens": 1849, "elapsed_seconds": 17.002460249932483, "metadata": {"match_method": "map", "num_predictions": 18, "num_ground_truth": 18, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9405940771102905, "attempts": 1, "retries": 0, "total_seconds": 17.0404}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 147, "image": "f12_jpg.rf.fa104f4d104f326761c5485949eec7bb.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [318, 232, 610, 381], \"label\": \"wildfire\"},\n {\"box_2d\": [313, 594, 562, 796], \"label\": \"wildfire\"},\n {\"box_2d\": [715, 94, 935, 421], \"label\": \"wildfire\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 1340, "elapsed_seconds": 17.632720415946096, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 17.7268}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 148, "image": "f36_jpg.rf.8c77ed13627d4f4c8abf32c1c7573442.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 64, 591, 309], \"label\": \"wildfire\"},\n {\"box_2d\": [0, 651, 418, 836], \"label\": \"wildfire\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 2094, "elapsed_seconds": 28.225044875056483, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 28.315}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 149, "image": "46_jpg.rf.ed53b85cf8112394121da4a88ce9efc4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [574, 151, 722, 214], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [531, 301, 650, 325], \"label\": \"resistor symbol\"},\n {\"box_2d\": [375, 378, 429, 439], \"label\": \"resistor symbol\"},\n {\"box_2d\": [169, 470, 303, 533], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [573, 465, 716, 521], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [381, 560, 439, 638], \"label\": \"resistor symbol\"},\n {\"box_2d\": [531, 668, 691, 695], \"label\": \"resistor symbol\"},\n {\"box_2d\": [606, 809, 727, 860], \"label\": \"dc current source symbol\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 1150, "elapsed_seconds": 11.756790208048187, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 11.8345}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 150, "image": "Lego_131_low_jpeg.rf.be14ef4b77b52f77c1ed45c59ee5b3a4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 730, 68, 796], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [41, 440, 138, 550], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [64, 616, 152, 694], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [150, 622, 236, 694], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [125, 275, 213, 391], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [144, 146, 217, 251], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [187, 32, 287, 149], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [247, 229, 336, 317], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [225, 309, 305, 424], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [273, 507, 353, 597], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [250, 652, 325, 745], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [182, 930, 285, 985], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [372, 267, 466, 330], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [436, 281, 538, 357], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [515, 161, 598, 263], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [518, 331, 598, 405], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [449, 527, 494, 628], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [353, 685, 449, 746], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [373, 728, 476, 807], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [467, 747, 569, 833], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [441, 800, 543, 892], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [532, 819, 600, 898], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [456, 946, 545, 1000], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [636, 191, 703, 297], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [696, 171, 765, 278], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [597, 368, 662, 458], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [658, 342, 717, 449], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [713, 388, 793, 469], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [681, 440, 766, 525], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [812, 261, 906, 372], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [788, 424, 866, 515], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [745, 597, 833, 678], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [813, 730, 880, 825], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [754, 787, 859, 882], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [686, 916, 786, 998], \"label\": \"lego 4x1 brick\"}\n]\n```", "correct": true, "input_tokens": 1244, "output_tokens": 3137, "elapsed_seconds": 25.356505166972056, "metadata": {"match_method": "map", "num_predictions": 35, "num_ground_truth": 35, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9007131457328796, "attempts": 1, "retries": 0, "total_seconds": 25.4213}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 151, "image": "IMG_6677_jpeg_jpg.rf.66bd4292eb85ae8da61a8cef3e3384f8.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [373, 30, 459, 245], \"label\": \"green poker chip\"},\n {\"box_2d\": [401, 54, 476, 256], \"label\": \"green poker chip\"},\n {\"box_2d\": [422, 54, 495, 261], \"label\": \"green poker chip\"},\n {\"box_2d\": [451, 50, 509, 255], \"label\": \"green poker chip\"},\n {\"box_2d\": [466, 51, 524, 254], \"label\": \"green poker chip\"},\n {\"box_2d\": [479, 52, 540, 254], \"label\": \"green poker chip\"},\n {\"box_2d\": [494, 53, 558, 254], \"label\": \"green poker chip\"},\n {\"box_2d\": [510, 53, 575, 254], \"label\": \"green poker chip\"},\n {\"box_2d\": [525, 56, 591, 253], \"label\": \"green poker chip\"},\n {\"box_2d\": [544, 53, 610, 249], \"label\": \"green poker chip\"},\n {\"box_2d\": [368, 290, 455, 489], \"label\": \"orange poker chip\"},\n {\"box_2d\": [420, 296, 474, 490], \"label\": \"orange poker chip\"},\n {\"box_2d\": [437, 295, 492, 491], \"label\": \"orange poker chip\"},\n {\"box_2d\": [460, 296, 511, 488], \"label\": \"orange poker chip\"},\n {\"box_2d\": [477, 296, 528, 488], \"label\": \"orange poker chip\"},\n {\"box_2d\": [492, 295, 545, 484], \"label\": \"orange poker chip\"},\n {\"box_2d\": [508, 297, 562, 484], \"label\": \"orange poker chip\"},\n {\"box_2d\": [522, 299, 578, 485], \"label\": \"orange poker chip\"},\n {\"box_2d\": [533, 311, 606, 492], \"label\": \"orange poker chip\"},\n {\"box_2d\": [460, 531, 559, 720], \"label\": \"orange poker chip\"},\n {\"box_2d\": [499, 524, 581, 710], \"label\": \"orange poker chip\"},\n {\"box_2d\": [530, 521, 613, 715], \"label\": \"orange poker chip\"},\n {\"box_2d\": [449, 709, 540, 902], \"label\": \"green poker chip\"},\n {\"box_2d\": [503, 719, 579, 922], \"label\": \"green poker chip\"},\n {\"box_2d\": [525, 727, 602, 934], \"label\": \"green poker chip\"}\n]\n```", "correct": true, "input_tokens": 1231, "output_tokens": 3385, "elapsed_seconds": 26.82146849995479, "metadata": {"match_method": "map", "num_predictions": 25, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9603960514068604, "attempts": 1, "retries": 0, "total_seconds": 26.841}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 152, "image": "indir-1-_jpeg_jpg.rf.8d614705afcf35f2ac222aa7d9e608ff.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [428, 155, 514, 290], \"label\": \"dimension annotation\"},\n {\"box_2d\": [445, 626, 502, 728], \"label\": \"dimension annotation\"},\n {\"box_2d\": [564, 156, 646, 307], \"label\": \"dimension annotation\"},\n {\"box_2d\": [610, 653, 660, 750], \"label\": \"dimension annotation\"},\n {\"box_2d\": [669, 336, 701, 534], \"label\": \"dimension annotation\"},\n {\"box_2d\": [749, 197, 796, 272], \"label\": \"dimension annotation\"},\n {\"box_2d\": [760, 138, 799, 189], \"label\": \"dimension annotation\"},\n {\"box_2d\": [766, 610, 797, 676], \"label\": \"dimension annotation\"},\n {\"box_2d\": [725, 598, 758, 762], \"label\": \"dimension annotation\"},\n {\"box_2d\": [775, 667, 818, 726], \"label\": \"dimension annotation\"},\n {\"box_2d\": [796, 684, 825, 762], \"label\": \"dimension annotation\"},\n {\"box_2d\": [725, 598, 826, 811], \"label\": \"dimension annotation\"},\n {\"box_2d\": [825, 314, 869, 434], \"label\": \"dimension annotation\"},\n {\"box_2d\": [825, 626, 869, 754], \"label\": \"dimension annotation\"},\n {\"box_2d\": [914, 208, 984, 976], \"label\": \"technical drawing table\"}\n]\n```", "correct": false, "input_tokens": 1233, "output_tokens": 1945, "elapsed_seconds": 18.30602395790629, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.4999999403953552, "attempts": 1, "retries": 0, "total_seconds": 18.3163}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 153, "image": "1217_4_jpg.rf.834d702ab7cd425111d5c60612f66627.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [8, 36, 108, 130], \"label\": \"black rook\"},\n {\"box_2d\": [26, 133, 120, 240], \"label\": \"black knight\"},\n {\"box_2d\": [16, 285, 118, 375], \"label\": \"black bishop\"},\n {\"box_2d\": [0, 404, 122, 493], \"label\": \"black king\"},\n {\"box_2d\": [0, 526, 121, 613], \"label\": \"black queen\"},\n {\"box_2d\": [27, 654, 128, 745], \"label\": \"black bishop\"},\n {\"box_2d\": [6, 770, 114, 879], \"label\": \"black knight\"},\n {\"box_2d\": [14, 898, 114, 1000], \"label\": \"black rook\"},\n {\"box_2d\": [163, 35, 236, 113], \"label\": \"black pawn\"},\n {\"box_2d\": [163, 181, 236, 253], \"label\": \"black pawn\"},\n {\"box_2d\": [160, 285, 233, 357], \"label\": \"black pawn\"},\n {\"box_2d\": [172, 412, 246, 483], \"label\": \"black pawn\"},\n {\"box_2d\": [169, 545, 242, 617], \"label\": \"black pawn\"},\n {\"box_2d\": [166, 651, 239, 723], \"label\": \"black pawn\"},\n {\"box_2d\": [161, 763, 235, 836], \"label\": \"black pawn\"},\n {\"box_2d\": [150, 891, 224, 972], \"label\": \"black pawn\"},\n {\"box_2d\": [772, 16, 845, 96], \"label\": \"white pawn\"},\n {\"box_2d\": [772, 159, 845, 231], \"label\": \"white pawn\"},\n {\"box_2d\": [767, 279, 839, 351], \"label\": \"white pawn\"},\n {\"box_2d\": [770, 396, 842, 468], \"label\": \"white pawn\"},\n {\"box_2d\": [759, 498, 831, 570], \"label\": \"white pawn\"},\n {\"box_2d\": [773, 652, 846, 724], \"label\": \"white pawn\"},\n {\"box_2d\": [757, 773, 830, 847], \"label\": \"white pawn\"},\n {\"box_2d\": [756, 876, 829, 956], \"label\": \"white pawn\"},\n {\"box_2d\": [881, 13, 978, 108], \"label\": \"white rook\"},\n {\"box_2d\": [891, 124, 987, 232], \"label\": \"white knight\"},\n {\"box_2d\": [887, 276, 991, 366], \"label\": \"white bishop\"},\n {\"box_2d\": [872, 389, 996, 478], \"label\": \"white king\"},\n {\"box_2d\": [879, 515, 999, 601], \"label\": \"white queen\"},\n {\"box_2d\": [874, 635, 975, 725], \"label\": \"white bishop\"},\n {\"box_2d\": [892, 763, 983, 868], \"label\": \"white knight\"},\n {\"box_2d\": [877, 887, 976, 990], \"label\": \"white rook\"}\n]\n```", "correct": true, "input_tokens": 1259, "output_tokens": 2634, "elapsed_seconds": 24.57869929098524, "metadata": {"match_method": "map", "num_predictions": 32, "num_ground_truth": 32, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 24.7653}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 154, "image": "123_jpg.rf.dd57cefde1b1d657a6704903a0c29594.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [171, 325, 200, 376], \"label\": \"resistor symbol\"},\n {\"box_2d\": [161, 622, 191, 686], \"label\": \"resistor symbol\"},\n {\"box_2d\": [274, 208, 349, 244], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [266, 440, 336, 474], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [229, 805, 323, 849], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [457, 325, 488, 375], \"label\": \"resistor symbol\"},\n {\"box_2d\": [447, 656, 480, 703], \"label\": \"resistor symbol\"},\n {\"box_2d\": [612, 214, 686, 237], \"label\": \"resistor symbol\"},\n {\"box_2d\": [639, 447, 721, 494], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [595, 831, 667, 851], \"label\": \"resistor symbol\"},\n {\"box_2d\": [819, 312, 902, 359], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [830, 621, 860, 678], \"label\": \"resistor symbol\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 1564, "elapsed_seconds": 13.106585375033319, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 13.1201}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 155, "image": "Container_799_jpg.rf.18c1df3db98a6063d7285fb7c0ffd780.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [148, 307, 566, 328], \"label\": \"shipping container number\"},\n {\"box_2d\": [137, 352, 287, 365], \"label\": \"container ISO type code\"},\n {\"box_2d\": [225, 805, 266, 945], \"label\": \"shipping container number\"},\n {\"box_2d\": [271, 865, 303, 904], \"label\": \"container ISO type code\"}\n]\n```", "correct": true, "input_tokens": 1232, "output_tokens": 605, "elapsed_seconds": 6.492965166922659, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 6.5101}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 156, "image": "08fd33_0_1_png_jpg.rf.49b1ec7a3f580266e0267dce06883980.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [461, 148, 505, 159], \"label\": \"goalkeeper\"},\n {\"box_2d\": [415, 250, 451, 260], \"label\": \"player\"},\n {\"box_2d\": [607, 340, 618, 346], \"label\": \"football\"},\n {\"box_2d\": [342, 438, 370, 448], \"label\": \"player\"},\n {\"box_2d\": [526, 408, 562, 422], \"label\": \"player\"},\n {\"box_2d\": [480, 431, 527, 443], \"label\": \"player\"},\n {\"box_2d\": [614, 429, 663, 442], \"label\": \"player\"},\n {\"box_2d\": [375, 488, 409, 498], \"label\": \"referee\"},\n {\"box_2d\": [442, 491, 479, 503], \"label\": \"player\"},\n {\"box_2d\": [396, 508, 431, 518], \"label\": \"player\"},\n {\"box_2d\": [373, 532, 404, 542], \"label\": \"player\"},\n {\"box_2d\": [400, 606, 435, 616], \"label\": \"player\"},\n {\"box_2d\": [352, 626, 382, 636], \"label\": \"player\"},\n {\"box_2d\": [370, 630, 402, 640], \"label\": \"player\"},\n {\"box_2d\": [416, 624, 451, 635], \"label\": \"player\"},\n {\"box_2d\": [450, 616, 490, 626], \"label\": \"player\"},\n {\"box_2d\": [503, 627, 545, 638], \"label\": \"player\"},\n {\"box_2d\": [418, 646, 456, 657], \"label\": \"player\"},\n {\"box_2d\": [388, 661, 421, 670], \"label\": \"player\"},\n {\"box_2d\": [465, 706, 510, 720], \"label\": \"player\"},\n {\"box_2d\": [602, 679, 653, 694], \"label\": \"player\"},\n {\"box_2d\": [573, 774, 613, 787], \"label\": \"player\"},\n {\"box_2d\": [631, 837, 681, 850], \"label\": \"player\"},\n {\"box_2d\": [648, 827, 700, 842], \"label\": \"referee\"},\n {\"box_2d\": [405, 905, 444, 918], \"label\": \"goalkeeper\"}\n]\n```", "correct": true, "input_tokens": 1242, "output_tokens": 2319, "elapsed_seconds": 24.04636304092128, "metadata": {"match_method": "map", "num_predictions": 25, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9158415794372559, "attempts": 1, "retries": 0, "total_seconds": 24.1357}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 157, "image": "Lego_122_low_jpeg.rf.ea0402c215977271fc16971fe6cad37a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [77, 192, 155, 309], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [138, 363, 248, 443], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [188, 466, 286, 577], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [214, 591, 314, 649], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [99, 652, 212, 749], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [59, 777, 156, 861], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [96, 833, 200, 937], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [268, 315, 355, 408], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [347, 320, 445, 385], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [341, 182, 438, 261], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [378, 54, 461, 161], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [508, 135, 600, 253], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [338, 471, 444, 555], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [373, 681, 463, 767], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [333, 747, 439, 829], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [325, 938, 426, 999], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [551, 537, 642, 626], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [554, 628, 628, 713], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [608, 689, 691, 741], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [628, 403, 709, 480], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [709, 390, 814, 480], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [709, 452, 797, 537], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [784, 187, 871, 286], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [749, 549, 828, 608], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [636, 738, 708, 843], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [692, 780, 786, 851], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [680, 826, 767, 932], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [600, 913, 677, 966], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [778, 873, 862, 934], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [760, 945, 858, 1000], \"label\": \"lego 4x1 brick\"}\n]\n```", "correct": true, "input_tokens": 1244, "output_tokens": 2811, "elapsed_seconds": 24.51362320804037, "metadata": {"match_method": "map", "num_predictions": 30, "num_ground_truth": 30, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 24.571}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 158, "image": "20230220_110126_jpg.rf.9dd19de1f35f973245770a80a67f5a86.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [466, 36, 495, 131], \"label\": \"crack\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 270, "elapsed_seconds": 5.408002374926582, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 5.4287}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 159, "image": "20230224_102553_jpg.rf.405f8900643fe92cf5dde61e03ca7cd9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [602, 817, 686, 905], \"label\": \"crack\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 315, "elapsed_seconds": 5.491987082990818, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 5.5132}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 160, "image": "40_jpg.rf.9c5565949caf7c10eef3c765c461dcc3.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [34, 161, 355, 219], \"label\": \"blood sample tube\"},\n {\"box_2d\": [205, 167, 514, 263], \"label\": \"blood sample tube\"},\n {\"box_2d\": [388, 155, 694, 276], \"label\": \"blood sample tube\"},\n {\"box_2d\": [152, 257, 464, 336], \"label\": \"blood sample tube\"},\n {\"box_2d\": [36, 315, 159, 550], \"label\": \"blood sample tube\"},\n {\"box_2d\": [27, 502, 92, 740], \"label\": \"blood sample tube\"},\n {\"box_2d\": [83, 594, 159, 845], \"label\": \"blood sample tube\"},\n {\"box_2d\": [143, 478, 468, 533], \"label\": \"blood sample tube\"},\n {\"box_2d\": [142, 533, 444, 667], \"label\": \"blood sample tube\"},\n {\"box_2d\": [393, 371, 569, 596], \"label\": \"blood sample tube\"},\n {\"box_2d\": [195, 583, 434, 790], \"label\": \"blood sample tube\"},\n {\"box_2d\": [385, 550, 505, 795], \"label\": \"blood sample tube\"},\n {\"box_2d\": [425, 592, 549, 839], \"label\": \"blood sample tube\"},\n {\"box_2d\": [70, 838, 398, 895], \"label\": \"blood sample tube\"},\n {\"box_2d\": [143, 886, 472, 938], \"label\": \"blood sample tube\"},\n {\"box_2d\": [263, 767, 557, 926], \"label\": \"blood sample tube\"},\n {\"box_2d\": [517, 688, 650, 943], \"label\": \"blood sample tube\"},\n {\"box_2d\": [560, 665, 709, 912], \"label\": \"blood sample tube\"},\n {\"box_2d\": [600, 616, 738, 855], \"label\": \"blood sample tube\"},\n {\"box_2d\": [612, 480, 732, 728], \"label\": \"blood sample tube\"},\n {\"box_2d\": [674, 492, 741, 738], \"label\": \"blood sample tube\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 2545, "elapsed_seconds": 19.42203845793847, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 21, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 19.4459}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 161, "image": "car-part-detection_Car-damages-765_png_jpg.rf.98f80e9f33638af692acb0b18adddcfd.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [128, 300, 344, 679], \"label\": \"windshield\"},\n {\"box_2d\": [253, 396, 549, 912], \"label\": \"hood\"},\n {\"box_2d\": [505, 504, 628, 744], \"label\": \"headlight\"},\n {\"box_2d\": [295, 212, 353, 323], \"label\": \"mirror\"},\n {\"box_2d\": [144, 211, 328, 321], \"label\": \"front window\"},\n {\"box_2d\": [140, 142, 286, 218], \"label\": \"back window\"},\n {\"box_2d\": [140, 193, 607, 339], \"label\": \"front door\"},\n {\"box_2d\": [140, 114, 500, 221], \"label\": \"back door\"},\n {\"box_2d\": [433, 514, 895, 935], \"label\": \"front bumper\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 1235, "elapsed_seconds": 14.089121833909303, "metadata": {"match_method": "map", "num_predictions": 9, "num_ground_truth": 13, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7281727194786072, "attempts": 1, "retries": 0, "total_seconds": 14.1018}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 162, "image": "frame_0089_jpg.rf.c7cd5f3b9d3ee6d5f30b8357b148d8d4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [236, 326, 279, 351], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [247, 381, 294, 408], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [257, 441, 303, 469], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [280, 501, 326, 529], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [338, 312, 384, 339], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [350, 369, 400, 398], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [362, 430, 411, 459], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [381, 492, 432, 521], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [444, 305, 491, 333], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [461, 363, 512, 392], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [472, 424, 524, 454], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [496, 488, 545, 516], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [918, 291, 966, 317], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [931, 353, 978, 380], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [942, 415, 991, 442], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [950, 481, 996, 508], \"label\": \"soda bottle cap\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 1551, "elapsed_seconds": 19.118650416028686, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 19.4955}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 163, "image": "IMG_5103_JPG.rf.05aa0caa3f6431dd232e7223cc79a35a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [596, 271, 650, 297], \"label\": \"face\"},\n {\"box_2d\": [644, 323, 691, 350], \"label\": \"face\"},\n {\"box_2d\": [694, 398, 748, 428], \"label\": \"face\"},\n {\"box_2d\": [358, 353, 384, 366], \"label\": \"face\"},\n {\"box_2d\": [361, 386, 386, 398], \"label\": \"face\"},\n {\"box_2d\": [368, 403, 396, 417], \"label\": \"face\"},\n {\"box_2d\": [419, 540, 447, 554], \"label\": \"face\"},\n {\"box_2d\": [427, 575, 455, 589], \"label\": \"face\"},\n {\"box_2d\": [440, 619, 469, 634], \"label\": \"face\"},\n {\"box_2d\": [458, 771, 487, 785], \"label\": \"face\"},\n {\"box_2d\": [436, 714, 463, 728], \"label\": \"face\"},\n {\"box_2d\": [427, 688, 456, 702], \"label\": \"face\"},\n {\"box_2d\": [419, 646, 447, 661], \"label\": \"face\"},\n {\"box_2d\": [397, 605, 423, 619], \"label\": \"face\"},\n {\"box_2d\": [392, 558, 418, 573], \"label\": \"face\"},\n {\"box_2d\": [373, 601, 397, 615], \"label\": \"face\"},\n {\"box_2d\": [373, 626, 398, 640], \"label\": \"face\"},\n {\"box_2d\": [383, 666, 409, 680], \"label\": \"face\"},\n {\"box_2d\": [329, 501, 353, 513], \"label\": \"face\"},\n {\"box_2d\": [328, 472, 352, 485], \"label\": \"face\"},\n {\"box_2d\": [344, 618, 368, 631], \"label\": \"face\"},\n {\"box_2d\": [345, 651, 370, 665], \"label\": \"face\"},\n {\"box_2d\": [364, 678, 389, 691], \"label\": \"face\"},\n {\"box_2d\": [370, 714, 394, 727], \"label\": \"face\"},\n {\"box_2d\": [326, 662, 351, 675], \"label\": \"face\"},\n {\"box_2d\": [335, 698, 359, 710], \"label\": \"face\"},\n {\"box_2d\": [323, 633, 346, 645], \"label\": \"face\"},\n {\"box_2d\": [300, 609, 323, 621], \"label\": \"face\"},\n {\"box_2d\": [298, 551, 321, 563], \"label\": \"face\"},\n {\"box_2d\": [286, 420, 309, 431], \"label\": \"face\"},\n {\"box_2d\": [289, 441, 311, 452], \"label\": \"face\"},\n {\"box_2d\": [317, 405, 341, 419], \"label\": \"face\"},\n {\"box_2d\": [303, 498, 326, 510], \"label\": \"face\"},\n {\"box_2d\": [333, 755, 358, 767], \"label\": \"face\"},\n {\"box_2d\": [342, 764, 366, 776], \"label\": \"face\"},\n {\"box_2d\": [346, 724, 370, 737], \"label\": \"face\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 3120, "elapsed_seconds": 39.01527854206506, "metadata": {"match_method": "map", "num_predictions": 36, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.4630514979362488, "attempts": 1, "retries": 0, "total_seconds": 39.335}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 164, "image": "fall-detection_camerathree-second_mp4-114_jpg.rf.8d4ab219233d1b243e3602fc397d1bfa.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [581, 357, 666, 586],\n \"label\": \"fallen person\"\n}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 329, "elapsed_seconds": 4.948846957995556, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 4.9633}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 165, "image": "lot301_JPEG_jpg.rf.190ac2533508d09b091e542956d526a5.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [161, 424, 196, 461], \"label\": 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{\"box_2d\": [580, 823, 604, 870], \"label\": \"chicory seed\"},\n {\"box_2d\": [606, 192, 630, 234], \"label\": \"chicory seed\"},\n {\"box_2d\": [615, 167, 656, 195], \"label\": \"chicory seed\"},\n {\"box_2d\": [616, 217, 645, 259], \"label\": \"chicory seed\"},\n {\"box_2d\": [638, 184, 672, 224], \"label\": \"chicory seed\"},\n {\"box_2d\": [637, 230, 669, 271], \"label\": \"chicory seed\"},\n {\"box_2d\": [657, 195, 689, 236], \"label\": \"chicory seed\"},\n {\"box_2d\": [614, 286, 649, 316], \"label\": \"chicory seed\"},\n {\"box_2d\": [607, 342, 631, 391], \"label\": \"chicory seed\"},\n {\"box_2d\": [625, 311, 668, 337], \"label\": \"chicory seed\"},\n {\"box_2d\": [629, 335, 673, 366], \"label\": \"chicory seed\"},\n {\"box_2d\": [627, 363, 669, 389], \"label\": \"chicory seed\"},\n {\"box_2d\": [644, 383, 684, 410], \"label\": \"chicory seed\"},\n {\"box_2d\": [646, 290, 689, 320], \"label\": \"chicory seed\"},\n {\"box_2d\": [660, 250, 703, 279], \"label\": \"chicory seed\"},\n {\"box_2d\": [664, 267, 705, 296], \"label\": \"chicory seed\"},\n {\"box_2d\": [614, 552, 640, 597], \"label\": \"chicory seed\"},\n {\"box_2d\": [619, 600, 649, 642], \"label\": \"chicory seed\"},\n {\"box_2d\": [609, 636, 652, 664], \"label\": \"chicory seed\"},\n {\"box_2d\": [612, 668, 656, 694], \"label\": \"chicory seed\"},\n {\"box_2d\": [634, 521, 661, 568], \"label\": \"chicory seed\"},\n {\"box_2d\": [637, 572, 663, 614], \"label\": \"chicory seed\"},\n {\"box_2d\": [639, 608, 669, 648], \"label\": \"chicory seed\"},\n {\"box_2d\": [657, 515, 688, 558], \"label\": \"chicory seed\"},\n {\"box_2d\": [658, 556, 694, 593], \"label\": \"chicory seed\"},\n {\"box_2d\": [663, 586, 706, 614], \"label\": \"chicory seed\"},\n {\"box_2d\": [654, 640, 684, 681], \"label\": \"chicory seed\"},\n {\"box_2d\": [666, 614, 690, 661], \"label\": \"chicory seed\"},\n {\"box_2d\": [643, 682, 685, 714], \"label\": \"chicory seed\"},\n {\"box_2d\": [641, 725, 685, 753], \"label\": \"chicory seed\"},\n {\"box_2d\": [617, 804, 652, 842], \"label\": \"chicory seed\"},\n {\"box_2d\": [661, 748, 702, 774], \"label\": \"chicory seed\"},\n {\"box_2d\": [654, 769, 681, 814], \"label\": \"chicory seed\"},\n {\"box_2d\": [668, 208, 699, 253], \"label\": \"chicory seed\"},\n {\"box_2d\": [693, 211, 718, 255], \"label\": \"chicory seed\"},\n {\"box_2d\": [709, 249, 733, 294], \"label\": \"chicory seed\"},\n {\"box_2d\": [687, 291, 727, 317], \"label\": \"chicory seed\"},\n {\"box_2d\": [693, 315, 735, 349], \"label\": \"chicory seed\"},\n {\"box_2d\": [675, 326, 705, 369], \"label\": \"chicory seed\"},\n {\"box_2d\": [662, 352, 696, 391], \"label\": \"chicory seed\"},\n {\"box_2d\": [682, 368, 719, 409], \"label\": \"chicory seed\"},\n {\"box_2d\": [674, 407, 699, 452], \"label\": \"chicory seed\"},\n {\"box_2d\": [671, 455, 696, 500], \"label\": \"chicory seed\"},\n {\"box_2d\": [713, 299, 756, 326], \"label\": \"chicory seed\"},\n {\"box_2d\": [724, 268, 761, 307], \"label\": \"chicory seed\"},\n {\"box_2d\": [709, 347, 744, 388], \"label\": \"chicory seed\"},\n {\"box_2d\": [710, 381, 736, 427], \"label\": \"chicory seed\"},\n {\"box_2d\": [696, 434, 735, 467], \"label\": \"chicory seed\"},\n {\"box_2d\": [693, 465, 727, 507], \"label\": \"chicory seed\"},\n {\"box_2d\": [707, 518, 751, 545], \"label\": \"chicory seed\"},\n {\"box_2d\": [692, 566, 729, 597], \"label\": \"chicory seed\"},\n {\"box_2d\": [686, 593, 720, 637], \"label\": \"chicory seed\"},\n {\"box_2d\": [682, 647, 716, 688], \"label\": \"chicory seed\"},\n {\"box_2d\": [669, 684, 705, 724], \"label\": \"chicory seed\"},\n {\"box_2d\": [720, 582, 746, 626], \"label\": \"chicory seed\"},\n {\"box_2d\": [716, 638, 742, 683], \"label\": \"chicory seed\"},\n {\"box_2d\": [693, 714, 730, 752], \"label\": \"chicory seed\"},\n {\"box_2d\": [699, 743, 722, 787], \"label\": \"chicory seed\"},\n {\"box_2d\": [710, 763, 736, 807], \"label\": \"chicory seed\"},\n {\"box_2d\": [720, 738, 759, 770], \"label\": \"chicory seed\"},\n {\"box_2d\": [754, 286, 785, 329], \"label\": \"chicory seed\"},\n {\"box_2d\": [731, 322, 767, 362], \"label\": \"chicory seed\"},\n {\"box_2d\": [745, 340, 789, 366], \"label\": \"chicory seed\"},\n {\"box_2d\": [732, 383, 759, 429], \"label\": \"chicory seed\"},\n {\"box_2d\": [741, 363, 774, 406], \"label\": \"chicory seed\"},\n {\"box_2d\": [735, 428, 762, 474], \"label\": \"chicory seed\"},\n {\"box_2d\": [730, 465, 770, 503], \"label\": \"chicory seed\"},\n {\"box_2d\": [748, 488, 775, 533], \"label\": \"chicory seed\"},\n {\"box_2d\": [750, 523, 795, 552], \"label\": \"chicory seed\"},\n {\"box_2d\": [731, 553, 772, 588], \"label\": \"chicory seed\"},\n {\"box_2d\": [753, 564, 784, 606], \"label\": \"chicory seed\"},\n {\"box_2d\": [735, 636, 777, 664], \"label\": \"chicory seed\"},\n {\"box_2d\": [742, 660, 785, 686], \"label\": \"chicory seed\"},\n {\"box_2d\": [765, 695, 805, 729], \"label\": \"chicory seed\"},\n {\"box_2d\": [774, 300, 798, 346], \"label\": \"chicory seed\"},\n {\"box_2d\": [785, 329, 811, 377], \"label\": \"chicory seed\"},\n {\"box_2d\": [767, 364, 808, 396], \"label\": \"chicory seed\"},\n {\"box_2d\": [756, 410, 798, 440], \"label\": \"chicory seed\"},\n {\"box_2d\": [773, 392, 811, 433], \"label\": \"chicory seed\"},\n {\"box_2d\": [774, 440, 803, 484], \"label\": \"chicory seed\"},\n {\"box_2d\": [775, 478, 811, 513], \"label\": \"chicory seed\"},\n {\"box_2d\": [804, 357, 836, 402], \"label\": \"chicory seed\"},\n {\"box_2d\": [801, 393, 838, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [791, 434, 821, 477], \"label\": \"chicory seed\"},\n {\"box_2d\": [808, 431, 849, 457], \"label\": \"chicory seed\"},\n {\"box_2d\": [796, 480, 836, 514], \"label\": \"chicory seed\"},\n {\"box_2d\": [823, 454, 853, 497], \"label\": \"chicory seed\"},\n {\"box_2d\": [782, 529, 816, 569], \"label\": \"chicory seed\"},\n {\"box_2d\": [813, 529, 853, 555], \"label\": \"chicory seed\"},\n {\"box_2d\": [804, 547, 846, 575], \"label\": \"chicory seed\"},\n {\"box_2d\": [774, 593, 810, 635], \"label\": \"chicory seed\"},\n {\"box_2d\": [790, 577, 817, 623], \"label\": \"chicory seed\"},\n {\"box_2d\": [809, 593, 837, 639], \"label\": \"chicory seed\"},\n {\"box_2d\": [790, 638, 830, 676], \"label\": \"chicory seed\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 17900, "elapsed_seconds": 124.56412287498824, "metadata": {"match_method": "map", "num_predictions": 303, "num_ground_truth": 303, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3366336524486542, "attempts": 1, "retries": 0, "total_seconds": 124.7016}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 166, "image": "9pro_tire_2024-10-17_2_png_jpg.rf.4f51ee46ba892a991a30327b934d13a9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [73, 200, 182, 400], \"label\": \"tire size text\"},\n {\"box_2d\": [807, 674, 874, 759], \"label\": \"tire size text\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 396, "elapsed_seconds": 23.142416583024897, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 23.3618}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 167, "image": "2024-12-05T02-00-56-789Z-1004_jpg.rf.16e81306ce0ce847c1fdd836e6752b92.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [243, 0, 655, 159], \"label\": \"velcro cable tie\"},\n {\"box_2d\": [430, 868, 502, 926], \"label\": \"screw\"},\n {\"box_2d\": [648, 524, 686, 563], \"label\": \"screw\"},\n {\"box_2d\": [627, 148, 672, 181], \"label\": \"screw\"}\n]\n```", "correct": true, "input_tokens": 1204, "output_tokens": 861, "elapsed_seconds": 13.448347082943656, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 13.6575}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 168, "image": "45_png.rf.5c5cd31ecf12f414c9d6c446b6599fc0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [54, 240, 88, 299], \"label\": \"not gate symbol\"},\n {\"box_2d\": [89, 789, 138, 886], \"label\": \"or gate symbol\"},\n {\"box_2d\": [99, 425, 148, 524], \"label\": \"and gate symbol\"},\n {\"box_2d\": [298, 551, 359, 631], \"label\": \"and gate symbol\"},\n {\"box_2d\": [298, 668, 360, 747], \"label\": \"and gate symbol\"},\n {\"box_2d\": [372, 789, 420, 886], \"label\": \"or gate symbol\"},\n {\"box_2d\": [581, 574, 642, 654], \"label\": \"and gate symbol\"},\n {\"box_2d\": [581, 691, 642, 769], \"label\": \"and gate symbol\"},\n {\"box_2d\": [654, 811, 703, 909], \"label\": \"or gate symbol\"},\n {\"box_2d\": [872, 591, 932, 670], \"label\": \"and gate symbol\"},\n {\"box_2d\": [871, 707, 932, 786], \"label\": \"and gate symbol\"},\n {\"box_2d\": [941, 811, 989, 909], \"label\": \"or gate symbol\"}\n]\n```", "correct": true, "input_tokens": 1264, "output_tokens": 1325, "elapsed_seconds": 11.253745542024262, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 11.257}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 169, "image": "paper-parts_112786_53_jpg.rf.0483acf3782b23a87f49280c7a03b327.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [88, 175, 332, 669], \"label\": \"figure\"},\n {\"box_2d\": [371, 176, 424, 882], \"label\": \"figure caption\"},\n {\"box_2d\": [478, 176, 493, 207], \"label\": \"paragraph\"},\n {\"box_2d\": [523, 274, 550, 753], \"label\": \"equation\"},\n {\"box_2d\": [560, 274, 586, 711], \"label\": \"equation\"},\n {\"box_2d\": [596, 274, 623, 783], \"label\": \"equation\"},\n {\"box_2d\": [633, 274, 660, 734], \"label\": \"equation\"},\n {\"box_2d\": [669, 274, 696, 735], \"label\": \"equation\"},\n {\"box_2d\": [708, 274, 735, 529], \"label\": \"equation\"},\n {\"box_2d\": [755, 176, 869, 883], \"label\": \"paragraph\"},\n {\"box_2d\": [897, 519, 912, 539], \"label\": \"page number\"}\n]\n```", "correct": false, "input_tokens": 1248, "output_tokens": 1435, "elapsed_seconds": 16.7663587910356, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6504949927330017, "attempts": 1, "retries": 0, "total_seconds": 16.8013}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 170, "image": "signatures_image_21_png_jpg.rf.af64d00b20a92b8a4d92e9aefc5cd1f8.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [72, 216, 178, 359], \"label\": \"signature\"},\n {\"box_2d\": [302, 678, 393, 867], \"label\": \"signature\"},\n {\"box_2d\": [651, 511, 761, 730], \"label\": \"signature\"},\n {\"box_2d\": [832, 418, 945, 643], \"label\": \"signature\"},\n {\"box_2d\": [828, 651, 932, 843], \"label\": \"signature\"}\n]\n```", "correct": true, "input_tokens": 1252, "output_tokens": 863, "elapsed_seconds": 11.963341374997981, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.800000011920929, "attempts": 1, "retries": 0, "total_seconds": 12.053}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 171, "image": "1668146885__jpg.rf.3d8577f11d5831de64da2c2964b98050.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [52, 206, 98, 234], \"label\": \"four die\"},\n {\"box_2d\": [27, 353, 84, 386], \"label\": \"four die\"},\n {\"box_2d\": [142, 142, 193, 171], \"label\": \"two die\"},\n {\"box_2d\": [172, 224, 226, 256], \"label\": \"two die\"},\n {\"box_2d\": [327, 212, 386, 246], \"label\": \"five die\"},\n {\"box_2d\": [390, 138, 449, 171], \"label\": \"three die\"},\n {\"box_2d\": [377, 200, 434, 234], \"label\": \"six die\"},\n {\"box_2d\": [443, 214, 497, 248], \"label\": \"one die\"},\n {\"box_2d\": [380, 275, 438, 308], \"label\": \"four die\"},\n {\"box_2d\": [345, 317, 400, 349], \"label\": \"five die\"},\n {\"box_2d\": [516, 217, 571, 250], \"label\": \"three die\"},\n {\"box_2d\": [520, 272, 576, 306], \"label\": \"two die\"},\n {\"box_2d\": [627, 165, 676, 193], \"label\": \"two die\"},\n {\"box_2d\": [692, 225, 748, 257], \"label\": \"two die\"},\n {\"box_2d\": [729, 258, 785, 291], \"label\": \"four die\"},\n {\"box_2d\": [509, 467, 564, 500], \"label\": \"four die\"},\n {\"box_2d\": [596, 449, 643, 476], \"label\": \"two die\"},\n {\"box_2d\": [573, 495, 630, 528], \"label\": \"six die\"},\n {\"box_2d\": [623, 510, 681, 543], \"label\": \"four die\"},\n {\"box_2d\": [508, 537, 565, 570], \"label\": \"five die\"},\n {\"box_2d\": [555, 533, 610, 561], \"label\": \"two die\"},\n {\"box_2d\": [542, 559, 598, 591], \"label\": \"five die\"},\n {\"box_2d\": [616, 554, 670, 586], \"label\": \"two die\"},\n {\"box_2d\": [696, 584, 748, 613], \"label\": \"six die\"},\n {\"box_2d\": [448, 588, 498, 616], \"label\": \"three die\"},\n {\"box_2d\": [345, 544, 401, 576], \"label\": \"five die\"},\n {\"box_2d\": [304, 563, 351, 591], \"label\": \"six die\"},\n {\"box_2d\": [311, 597, 360, 623], \"label\": \"one die\"},\n {\"box_2d\": [194, 634, 253, 667], \"label\": \"six die\"},\n {\"box_2d\": [259, 633, 314, 665], \"label\": \"four die\"},\n {\"box_2d\": [291, 684, 348, 715], \"label\": \"four die\"},\n {\"box_2d\": [128, 710, 185, 743], \"label\": \"six die\"},\n {\"box_2d\": [106, 751, 163, 782], \"label\": \"three die\"},\n {\"box_2d\": [58, 790, 115, 821], \"label\": \"two die\"},\n {\"box_2d\": [374, 687, 431, 720], \"label\": \"three die\"},\n {\"box_2d\": [420, 661, 476, 692], \"label\": \"six die\"},\n {\"box_2d\": [474, 683, 532, 716], \"label\": \"three die\"},\n {\"box_2d\": [484, 715, 541, 748], \"label\": \"two die\"},\n {\"box_2d\": [297, 788, 355, 821], \"label\": \"three die\"},\n {\"box_2d\": [342, 778, 400, 811], \"label\": \"four die\"},\n {\"box_2d\": [209, 883, 263, 916], \"label\": \"five die\"},\n {\"box_2d\": [304, 917, 360, 950], \"label\": \"three die\"},\n {\"box_2d\": [540, 805, 585, 833], \"label\": \"six die\"},\n {\"box_2d\": [580, 828, 626, 856], \"label\": \"five die\"},\n {\"box_2d\": [612, 790, 657, 817], \"label\": \"six die\"},\n {\"box_2d\": [654, 711, 711, 744], \"label\": \"two die\"},\n {\"box_2d\": [680, 856, 728, 886], \"label\": \"six die\"}\n]\n```", "correct": true, "input_tokens": 1252, "output_tokens": 5456, "elapsed_seconds": 45.68736025004182, "metadata": {"match_method": "map", "num_predictions": 47, "num_ground_truth": 48, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8912462592124939, "attempts": 1, "retries": 0, "total_seconds": 45.7251}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 172, "image": "IMG_20220316_171754_jpg.rf.02842914dec30f998cea03868026b96a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [86, 193, 405, 487], \"label\": \"eight of clubs\"},\n {\"box_2d\": [284, 275, 646, 540], \"label\": \"seven of clubs\"},\n {\"box_2d\": [294, 421, 675, 740], \"label\": \"five of clubs\"},\n {\"box_2d\": [461, 517, 940, 925], \"label\": \"six of clubs\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 510, "elapsed_seconds": 6.4178117089904845, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 6.4444}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 173, "image": "39_jpg.rf.edb5339d00a37b75d6cf16c1f9a301ff.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [173, 165, 214, 206], \"label\": \"resistor symbol\"},\n {\"box_2d\": [149, 353, 198, 405], \"label\": \"resistor symbol\"},\n {\"box_2d\": [348, 271, 449, 287], \"label\": \"resistor symbol\"},\n {\"box_2d\": [354, 480, 449, 497], \"label\": \"resistor symbol\"},\n {\"box_2d\": [774, 326, 837, 400], \"label\": \"resistor symbol\"},\n {\"box_2d\": [320, 673, 421, 691], \"label\": \"resistor symbol\"},\n {\"box_2d\": [156, 767, 192, 811], \"label\": \"resistor symbol\"},\n {\"box_2d\": [434, 855, 543, 874], \"label\": \"resistor symbol\"},\n {\"box_2d\": [465, 61, 634, 126], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [119, 553, 211, 620], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [798, 272, 896, 299], \"label\": \"ground symbol\"}\n]\n```", "correct": true, "input_tokens": 1216, "output_tokens": 1404, "elapsed_seconds": 13.534872708027251, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 10, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 13.61}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 174, "image": "99FB9DDE-58F9-4BBA-8CC2-48146BC0EBC5_jpg.rf.1cef29e3b05e7507a4b618bd8b857503.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [190, 249, 252, 310], \"label\": \"pill\"},\n {\"box_2d\": [182, 442, 243, 503], \"label\": \"pill\"},\n {\"box_2d\": [293, 202, 353, 264], \"label\": \"pill\"},\n {\"box_2d\": [270, 328, 329, 388], \"label\": \"pill\"},\n {\"box_2d\": [278, 450, 337, 511], \"label\": \"pill\"},\n {\"box_2d\": [318, 408, 377, 468], \"label\": \"pill\"},\n {\"box_2d\": [333, 468, 392, 529], \"label\": \"pill\"},\n {\"box_2d\": [335, 283, 395, 344], \"label\": \"pill\"},\n {\"box_2d\": [353, 180, 412, 242], \"label\": \"pill\"},\n {\"box_2d\": [416, 134, 476, 196], \"label\": \"pill\"},\n {\"box_2d\": [418, 246, 478, 307], \"label\": \"pill\"},\n {\"box_2d\": [385, 311, 444, 372], \"label\": \"pill\"},\n {\"box_2d\": [376, 390, 435, 451], \"label\": \"pill\"},\n {\"box_2d\": [399, 476, 458, 536], \"label\": \"pill\"},\n {\"box_2d\": [387, 545, 446, 606], \"label\": \"pill\"},\n {\"box_2d\": [429, 612, 488, 673], \"label\": \"pill\"},\n {\"box_2d\": [403, 667, 464, 730], \"label\": \"pill\"},\n {\"box_2d\": [472, 303, 531, 364], \"label\": \"pill\"},\n {\"box_2d\": [444, 358, 504, 419], \"label\": \"pill\"},\n {\"box_2d\": [446, 439, 505, 500], \"label\": \"pill\"},\n {\"box_2d\": [450, 532, 509, 593], \"label\": \"pill\"},\n {\"box_2d\": [514, 344, 574, 405], \"label\": \"pill\"},\n {\"box_2d\": [504, 413, 563, 473], \"label\": \"pill\"},\n {\"box_2d\": [488, 485, 548, 546], \"label\": \"pill\"},\n {\"box_2d\": [507, 561, 568, 622], \"label\": \"pill\"},\n {\"box_2d\": [552, 466, 612, 527], \"label\": \"pill\"},\n {\"box_2d\": [562, 530, 623, 592], \"label\": \"pill\"},\n {\"box_2d\": [620, 198, 682, 263], \"label\": \"pill\"},\n {\"box_2d\": [601, 281, 663, 345], \"label\": \"pill\"},\n {\"box_2d\": [592, 365, 653, 427], \"label\": \"pill\"},\n {\"box_2d\": [612, 449, 673, 511], \"label\": \"pill\"},\n {\"box_2d\": [635, 539, 697, 601], \"label\": \"pill\"},\n {\"box_2d\": [685, 763, 749, 829], \"label\": \"pill\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 3128, "elapsed_seconds": 28.521885375026613, "metadata": {"match_method": "map", "num_predictions": 33, "num_ground_truth": 33, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 28.853}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 175, "image": "8a_tire_2024-10-17_62_png_jpg.rf.da90fbf7f0527f341a28f165c3e83dac.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [143, 345, 190, 438], \"label\": \"tire size text\"},\n {\"box_2d\": [459, 57, 661, 95], \"label\": \"tire size text\"},\n {\"box_2d\": [454, 913, 651, 948], \"label\": \"tire size text\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 941, "elapsed_seconds": 16.01769675000105, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 16.3885}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 176, "image": "frame_0002_03_jpg.rf.dda0be95dbf94773efee5983feb50582.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [464, 330, 523, 360], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [477, 398, 535, 430], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [484, 472, 541, 504], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [490, 545, 547, 578], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [589, 327, 650, 358], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [601, 396, 667, 429], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [609, 469, 673, 502], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [615, 541, 679, 576], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [713, 319, 773, 352], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [734, 387, 795, 421], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [740, 460, 801, 495], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [747, 534, 809, 569], \"label\": \"soda bottle cap\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 1338, "elapsed_seconds": 25.696021666983142, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 26.0844}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 177, "image": "f77_jpg.rf.82279850cbac861dc93376eb2c7be55d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 53, 444, 240], \"label\": \"wildfire\"},\n {\"box_2d\": [0, 746, 718, 1000], \"label\": \"wildfire\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 1595, "elapsed_seconds": 20.86920062499121, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 20.9591}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 178, "image": "1219_48_jpg.rf.d6aecd0b221112666e45beae667e3572.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 6, 121, 130], \"label\": \"white king\"},\n {\"box_2d\": [5, 384, 125, 472], \"label\": \"white queen\"},\n {\"box_2d\": [16, 889, 119, 996], \"label\": \"white bishop\"},\n {\"box_2d\": [142, 384, 236, 477], \"label\": \"white bishop\"},\n {\"box_2d\": [280, 648, 353, 720], \"label\": \"white pawn\"},\n {\"box_2d\": [398, 275, 487, 366], \"label\": \"black king\"},\n {\"box_2d\": [399, 519, 479, 601], \"label\": \"white rook\"},\n {\"box_2d\": [396, 769, 482, 879], \"label\": \"black queen\"},\n {\"box_2d\": [532, 146, 613, 236], \"label\": \"black rook\"},\n {\"box_2d\": [512, 270, 595, 357], \"label\": \"white knight\"},\n {\"box_2d\": [521, 637, 601, 736], \"label\": \"black knight\"},\n {\"box_2d\": [497, 770, 576, 864], \"label\": \"black rook\"},\n {\"box_2d\": [636, 6, 717, 118], \"label\": \"black knight\"},\n {\"box_2d\": [647, 526, 730, 620], \"label\": \"white knight\"},\n {\"box_2d\": [666, 750, 739, 827], \"label\": \"black pawn\"},\n {\"box_2d\": [748, 252, 839, 344], \"label\": \"black bishop\"},\n {\"box_2d\": [867, 274, 983, 368], \"label\": \"black queen\"}\n]\n```", "correct": true, "input_tokens": 1259, "output_tokens": 1605, "elapsed_seconds": 16.408691707998514, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 17, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 16.6004}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 179, "image": "f27_jpg.rf.b153b2c59a95b68f3f9edb924d42cee4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 15, 425, 398], \"label\": \"wildfire\"},\n {\"box_2d\": [347, 6, 947, 396], \"label\": \"wildfire\"},\n {\"box_2d\": [0, 598, 445, 898], \"label\": \"wildfire\"},\n {\"box_2d\": [463, 672, 744, 800], \"label\": \"wildfire\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 1465, "elapsed_seconds": 18.388681625016034, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 18.4804}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 180, "image": "img_461922717831528641_png.rf.c1eccbe6f38478b43fbba2e4cba33ac0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [58, 179, 165, 323], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [152, 169, 267, 320], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [253, 158, 376, 314], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [360, 144, 486, 307], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [475, 130, 601, 299], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [598, 113, 725, 293], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [724, 92, 864, 286], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [859, 77, 1000, 270], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [28, 320, 133, 456], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [121, 311, 231, 453], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [218, 304, 333, 451], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [320, 295, 444, 449], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [433, 289, 556, 446], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [552, 280, 675, 442], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [674, 270, 804, 437], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [803, 257, 956, 434], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [69, 444, 177, 584], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [165, 440, 276, 584], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [264, 439, 379, 587], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [368, 433, 488, 589], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [479, 432, 602, 591], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [598, 429, 722, 593], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [722, 426, 858, 596], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [854, 419, 1000, 596], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [36, 575, 143, 709], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [128, 571, 237, 714], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [224, 572, 340, 718], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [324, 572, 446, 726], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [434, 574, 556, 734], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [551, 572, 674, 742], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [673, 572, 802, 751], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [801, 576, 952, 761], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [80, 697, 187, 839], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [171, 698, 284, 847], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [269, 701, 388, 856], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [372, 706, 496, 869], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [484, 711, 606, 883], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [601, 716, 725, 901], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [724, 723, 859, 916], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [852, 739, 1000, 935], \"label\": \"empty portable gas cylinder\"}\n]\n```", "correct": false, "input_tokens": 1208, "output_tokens": 2921, "elapsed_seconds": 27.886526750051416, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 40, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.4101485311985016, "attempts": 1, "retries": 0, "total_seconds": 27.9623}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 181, "image": "20230113_134921_jpg.rf.98498c853848c0b93af6274d6758c4d5.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [519, 802, 539, 882], \"label\": \"crack\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 273, "elapsed_seconds": 5.667077249963768, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 5.6794}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 182, "image": "IMG_0618_jpeg.rf.efa7b9f1261718cff400e2cf104b3017.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [275, 459, 336, 527], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [356, 394, 431, 459], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [375, 238, 442, 307], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [497, 205, 589, 256], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [485, 344, 576, 408], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [612, 244, 682, 327], \"label\": \"peach jelly bean\"},\n {\"box_2d\": [615, 403, 714, 475], \"label\": \"peach jelly bean\"},\n {\"box_2d\": [434, 520, 517, 583], \"label\": \"caramel corn jelly bean\"},\n {\"box_2d\": [342, 577, 419, 626], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [451, 693, 523, 773], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [605, 626, 713, 682], \"label\": \"top banana jelly bean\"}\n]\n```", "correct": true, "input_tokens": 1230, "output_tokens": 2154, "elapsed_seconds": 19.49280533392448, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 19.5378}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 183, "image": "1668146875__jpg.rf.3051c36c0a756d3687be5c2fb0ad5141.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [99, 362, 160, 396], \"label\": \"six die\"},\n {\"box_2d\": [111, 405, 170, 437], \"label\": \"two die\"},\n {\"box_2d\": [180, 434, 240, 467], \"label\": \"six die\"},\n {\"box_2d\": [182, 388, 238, 419], \"label\": \"two die\"},\n {\"box_2d\": [199, 347, 259, 381], \"label\": \"four die\"},\n {\"box_2d\": [217, 296, 275, 329], \"label\": \"five die\"},\n {\"box_2d\": [230, 271, 289, 304], \"label\": \"six die\"},\n {\"box_2d\": [270, 300, 328, 333], \"label\": \"four die\"},\n {\"box_2d\": [302, 323, 353, 352], \"label\": \"four die\"},\n {\"box_2d\": [297, 348, 348, 376], \"label\": \"six die\"},\n {\"box_2d\": [292, 372, 341, 400], \"label\": \"three die\"},\n {\"box_2d\": [280, 395, 332, 424], \"label\": \"two die\"},\n {\"box_2d\": [340, 301, 388, 328], \"label\": \"five die\"},\n {\"box_2d\": [349, 336, 397, 364], \"label\": \"four die\"},\n {\"box_2d\": [338, 367, 388, 396], \"label\": \"four die\"},\n {\"box_2d\": [386, 311, 438, 340], \"label\": \"four die\"},\n {\"box_2d\": [411, 340, 468, 372], \"label\": \"two die\"},\n {\"box_2d\": [438, 218, 494, 251], \"label\": \"three die\"},\n {\"box_2d\": [573, 168, 622, 198], \"label\": \"four die\"},\n {\"box_2d\": [291, 516, 351, 550], \"label\": \"six die\"},\n {\"box_2d\": [361, 540, 417, 572], \"label\": \"two die\"},\n {\"box_2d\": [412, 492, 464, 522], \"label\": \"five die\"},\n {\"box_2d\": [512, 389, 571, 421], \"label\": \"four die\"},\n {\"box_2d\": [529, 450, 588, 483], \"label\": \"three die\"},\n {\"box_2d\": [588, 380, 644, 412], \"label\": \"two die\"},\n {\"box_2d\": [587, 530, 636, 558], \"label\": \"five die\"},\n {\"box_2d\": [640, 514, 696, 546], \"label\": \"two die\"},\n {\"box_2d\": [649, 471, 704, 502], \"label\": \"six die\"},\n {\"box_2d\": [682, 495, 740, 527], \"label\": \"six die\"},\n {\"box_2d\": [706, 441, 758, 471], \"label\": \"four die\"},\n {\"box_2d\": [757, 440, 804, 467], \"label\": \"five die\"},\n {\"box_2d\": [820, 425, 879, 459], \"label\": \"five die\"},\n {\"box_2d\": [847, 374, 900, 401], \"label\": \"six die\"},\n {\"box_2d\": [767, 324, 818, 353], \"label\": \"six die\"},\n {\"box_2d\": [816, 313, 868, 343], \"label\": \"five die\"},\n {\"box_2d\": [32, 673, 93, 707], \"label\": \"four die\"},\n {\"box_2d\": [148, 780, 197, 809], \"label\": \"three die\"},\n {\"box_2d\": [200, 764, 251, 794], \"label\": \"one die\"},\n {\"box_2d\": [256, 715, 312, 748], \"label\": \"three die\"},\n {\"box_2d\": [340, 683, 397, 715], \"label\": \"two die\"},\n {\"box_2d\": [398, 648, 444, 676], \"label\": \"four die\"},\n {\"box_2d\": [363, 772, 412, 802], \"label\": \"three die\"},\n {\"box_2d\": [393, 747, 451, 781], \"label\": \"two die\"},\n {\"box_2d\": [449, 756, 497, 785], \"label\": \"four die\"},\n {\"box_2d\": [496, 756, 545, 786], \"label\": \"four die\"},\n {\"box_2d\": [438, 807, 491, 839], \"label\": \"six die\"},\n {\"box_2d\": [665, 793, 722, 826], \"label\": \"three die\"}\n]\n```", "correct": false, "input_tokens": 1252, "output_tokens": 3714, "elapsed_seconds": 29.411202832940035, "metadata": {"match_method": "map", "num_predictions": 47, "num_ground_truth": 48, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7393034100532532, "attempts": 1, "retries": 0, "total_seconds": 29.4485}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 184, "image": "C440AC87-A6AC-47BA-9CB8-2E8D0B276501_jpg.rf.8b0f079f1f23f56b5c9934be046152df.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [163, 249, 239, 326], \"label\": \"pill\"},\n {\"box_2d\": [161, 369, 236, 443], \"label\": \"pill\"},\n {\"box_2d\": [228, 165, 306, 246], \"label\": \"pill\"},\n {\"box_2d\": [243, 305, 319, 383], \"label\": \"pill\"},\n {\"box_2d\": [327, 123, 405, 205], \"label\": \"pill\"},\n {\"box_2d\": [305, 273, 382, 353], \"label\": \"pill\"},\n {\"box_2d\": [357, 320, 434, 400], \"label\": \"pill\"},\n {\"box_2d\": [296, 456, 373, 533], \"label\": \"pill\"},\n {\"box_2d\": [291, 548, 365, 625], \"label\": \"pill\"},\n {\"box_2d\": [315, 616, 392, 694], \"label\": \"pill\"},\n {\"box_2d\": [306, 690, 383, 767], \"label\": \"pill\"},\n {\"box_2d\": [354, 406, 431, 483], \"label\": \"pill\"},\n {\"box_2d\": [361, 544, 437, 622], \"label\": \"pill\"},\n {\"box_2d\": [374, 704, 452, 785], \"label\": \"pill\"},\n {\"box_2d\": [414, 276, 493, 356], \"label\": \"pill\"},\n {\"box_2d\": [413, 363, 491, 443], \"label\": \"pill\"},\n {\"box_2d\": [438, 434, 517, 513], \"label\": \"pill\"},\n {\"box_2d\": [430, 522, 509, 601], \"label\": \"pill\"},\n {\"box_2d\": [430, 648, 509, 730], \"label\": \"pill\"},\n {\"box_2d\": [465, 162, 547, 246], \"label\": \"pill\"},\n {\"box_2d\": [480, 239, 561, 322], \"label\": \"pill\"},\n {\"box_2d\": [474, 320, 554, 402], \"label\": \"pill\"},\n {\"box_2d\": [508, 514, 589, 595], \"label\": \"pill\"},\n {\"box_2d\": [476, 583, 557, 663], \"label\": \"pill\"},\n {\"box_2d\": [543, 282, 626, 366], \"label\": \"pill\"},\n {\"box_2d\": [574, 354, 657, 438], \"label\": \"pill\"},\n {\"box_2d\": [602, 437, 686, 521], \"label\": \"pill\"},\n {\"box_2d\": [587, 520, 671, 604], \"label\": \"pill\"},\n {\"box_2d\": [580, 677, 664, 764], \"label\": \"pill\"},\n {\"box_2d\": [793, 59, 885, 154], \"label\": \"pill\"},\n {\"box_2d\": [701, 160, 790, 249], \"label\": \"pill\"},\n {\"box_2d\": [690, 245, 779, 333], \"label\": \"pill\"},\n {\"box_2d\": [780, 220, 872, 311], \"label\": \"pill\"},\n {\"box_2d\": [720, 320, 809, 408], \"label\": \"pill\"},\n {\"box_2d\": [722, 496, 811, 583], \"label\": \"pill\"},\n {\"box_2d\": [811, 479, 902, 569], \"label\": \"pill\"},\n {\"box_2d\": [772, 571, 864, 660], \"label\": \"pill\"},\n {\"box_2d\": [705, 619, 793, 707], \"label\": \"pill\"},\n {\"box_2d\": [698, 702, 787, 790], \"label\": \"pill\"},\n {\"box_2d\": [693, 785, 781, 872], \"label\": \"pill\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 3767, "elapsed_seconds": 30.054259291035123, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 40, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 30.4575}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 185, "image": "preannot3_62_png.rf.0c5f5d9500c1d4c579c64d746f68b358.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [25, 334, 34, 351], \"label\": \"tire spike normal\"},\n {\"box_2d\": [31, 645, 39, 662], \"label\": \"tire spike normal\"},\n {\"box_2d\": [70, 623, 81, 640], \"label\": \"tire spike normal\"},\n {\"box_2d\": [92, 300, 102, 319], \"label\": \"tire spike normal\"},\n {\"box_2d\": [110, 698, 120, 717], \"label\": \"tire spike normal\"},\n {\"box_2d\": [153, 240, 165, 259], \"label\": \"tire spike normal\"},\n {\"box_2d\": [182, 657, 195, 678], \"label\": \"tire spike normal\"},\n {\"box_2d\": [237, 305, 251, 326], \"label\": \"tire spike normal\"},\n {\"box_2d\": [255, 703, 269, 724], \"label\": \"tire spike normal\"},\n {\"box_2d\": [295, 244, 310, 267], \"label\": \"tire spike normal\"},\n {\"box_2d\": [323, 748, 338, 767], \"label\": \"tire spike absent\"},\n {\"box_2d\": [366, 203, 381, 224], \"label\": \"tire spike absent\"},\n {\"box_2d\": [396, 774, 411, 795], \"label\": \"tire spike normal\"},\n {\"box_2d\": [446, 223, 461, 245], \"label\": \"tire spike normal\"},\n {\"box_2d\": [507, 655, 523, 678], \"label\": \"tire spike normal\"},\n {\"box_2d\": [562, 328, 577, 351], \"label\": \"tire spike normal\"},\n {\"box_2d\": [574, 697, 589, 720], \"label\": \"tire spike normal\"},\n {\"box_2d\": [618, 270, 634, 293], \"label\": \"tire spike normal\"},\n {\"box_2d\": [679, 638, 694, 661], \"label\": \"tire spike normal\"},\n {\"box_2d\": [710, 316, 725, 339], \"label\": \"tire spike normal\"},\n {\"box_2d\": [710, 755, 725, 778], \"label\": \"tire spike normal\"},\n {\"box_2d\": [760, 246, 773, 269], \"label\": \"tire spike normal\"},\n {\"box_2d\": [803, 672, 816, 695], \"label\": \"tire spike normal\"},\n {\"box_2d\": [855, 722, 868, 742], \"label\": \"tire spike normal\"},\n {\"box_2d\": [900, 292, 912, 313], \"label\": \"tire spike normal\"},\n {\"box_2d\": [932, 642, 943, 661], \"label\": \"tire spike normal\"},\n {\"box_2d\": [942, 738, 952, 755], \"label\": \"tire spike normal\"}\n]\n```", "correct": false, "input_tokens": 1206, "output_tokens": 2909, "elapsed_seconds": 22.35597016697284, "metadata": {"match_method": "map", "num_predictions": 27, "num_ground_truth": 32, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5685148239135742, "attempts": 1, "retries": 0, "total_seconds": 22.4204}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 186, "image": "floorplan-windows-doors_10035_png.rf.4ea81a436186bba253c43df724f8ab26.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [7, 113, 35, 192], \"label\": \"window\"},\n {\"box_2d\": [7, 346, 35, 425], \"label\": \"window\"},\n {\"box_2d\": [7, 502, 35, 581], \"label\": \"window\"},\n {\"box_2d\": [7, 588, 35, 667], \"label\": \"window\"},\n {\"box_2d\": [7, 773, 35, 852], \"label\": \"window\"},\n {\"box_2d\": [218, 181, 307, 239], \"label\": \"door\"},\n {\"box_2d\": [288, 310, 350, 344], \"label\": \"door\"},\n {\"box_2d\": [459, 310, 520, 344], \"label\": \"door\"},\n {\"box_2d\": [264, 396, 341, 444], \"label\": \"door\"},\n {\"box_2d\": [382, 440, 452, 489], \"label\": \"door\"},\n {\"box_2d\": [467, 396, 542, 444], \"label\": \"door\"},\n {\"box_2d\": [216, 677, 286, 726], \"label\": \"door\"},\n {\"box_2d\": [392, 772, 464, 821], \"label\": \"door\"},\n {\"box_2d\": [540, 766, 615, 815], \"label\": \"door\"},\n {\"box_2d\": [560, 677, 635, 726], \"label\": \"door\"},\n {\"box_2d\": [595, 827, 661, 868], \"label\": \"door\"},\n {\"box_2d\": [604, 918, 691, 982], \"label\": \"door\"},\n {\"box_2d\": [318, 918, 417, 936], \"label\": \"window\"},\n {\"box_2d\": [751, 773, 778, 835], \"label\": \"window\"},\n {\"box_2d\": [751, 595, 778, 675], \"label\": \"window\"},\n {\"box_2d\": [751, 331, 778, 409], \"label\": \"window\"},\n {\"box_2d\": [753, 486, 898, 546], \"label\": \"door\"}\n]\n```", "correct": true, "input_tokens": 1245, "output_tokens": 2626, "elapsed_seconds": 22.512471624999307, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 22.5454}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 187, "image": "IMG_6647_jpeg_jpg.rf.c9080c42346e2e5efd9c896163bdce7e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [479, 263, 593, 470], \"label\": \"white poker chip\"},\n {\"box_2d\": [551, 264, 610, 466], \"label\": \"white poker chip\"},\n {\"box_2d\": [566, 261, 628, 462], \"label\": \"white poker chip\"},\n {\"box_2d\": [579, 259, 653, 461], \"label\": \"white poker chip\"},\n {\"box_2d\": [219, 505, 281, 749], \"label\": \"white poker chip\"},\n {\"box_2d\": [258, 511, 307, 751], \"label\": \"white poker chip\"},\n {\"box_2d\": [279, 514, 333, 759], \"label\": \"white poker chip\"},\n {\"box_2d\": [306, 524, 357, 765], \"label\": \"white poker chip\"},\n {\"box_2d\": [321, 517, 381, 754], \"label\": \"white poker chip\"},\n {\"box_2d\": [340, 512, 405, 747], \"label\": \"white poker chip\"},\n {\"box_2d\": [365, 517, 427, 748], \"label\": \"white poker chip\"},\n {\"box_2d\": [375, 508, 446, 738], \"label\": \"white poker chip\"},\n {\"box_2d\": [381, 498, 467, 725], \"label\": \"white poker chip\"},\n {\"box_2d\": [421, 500, 488, 723], \"label\": \"white poker chip\"},\n {\"box_2d\": [440, 499, 508, 721], \"label\": \"white poker chip\"},\n {\"box_2d\": [449, 495, 529, 715], \"label\": \"white poker chip\"},\n {\"box_2d\": [460, 486, 550, 712], \"label\": \"white poker chip\"},\n {\"box_2d\": [497, 488, 571, 709], \"label\": \"white poker chip\"},\n {\"box_2d\": [508, 481, 588, 697], \"label\": \"white poker chip\"},\n {\"box_2d\": [525, 479, 606, 694], \"label\": \"white poker chip\"},\n {\"box_2d\": [538, 475, 622, 695], \"label\": \"white poker chip\"},\n {\"box_2d\": [546, 470, 637, 681], \"label\": \"white poker chip\"},\n {\"box_2d\": [564, 468, 654, 678], \"label\": \"white poker chip\"},\n {\"box_2d\": [586, 472, 670, 679], \"label\": \"white poker chip\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 2772, "elapsed_seconds": 21.281307041994296, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 24, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9488449096679688, "attempts": 1, "retries": 0, "total_seconds": 21.2972}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 188, "image": "IMG_20220316_141641_jpg.rf.2b5b442678a6dd37dce39460868771a9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [193, 98, 581, 423], \"label\": \"jack of spades\"},\n {\"box_2d\": [142, 333, 527, 654], \"label\": \"ten of spades\"},\n {\"box_2d\": [142, 565, 530, 868], \"label\": \"queen of spades\"},\n {\"box_2d\": [448, 28, 882, 396], \"label\": \"nine of spades\"},\n {\"box_2d\": [548, 344, 962, 696], \"label\": \"king of spades\"}\n]\n```", "correct": true, "input_tokens": 1218, "output_tokens": 584, "elapsed_seconds": 7.073064791969955, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 7.0937}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 189, "image": "img_460975841708081304_png.rf.71eaf0b919ddab2a648aa76c72cc4a00.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [158, 145, 304, 252], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [176, 250, 314, 351], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [187, 350, 316, 446], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [199, 444, 328, 540], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [215, 535, 342, 631], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [228, 624, 354, 720], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [239, 712, 367, 807], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [241, 117, 408, 237], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [261, 235, 421, 345], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [274, 344, 416, 446], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [284, 446, 426, 547], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [297, 544, 442, 646], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [309, 638, 452, 742], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [321, 731, 463, 835], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [344, 88, 534, 218], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [362, 215, 539, 336], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [375, 336, 538, 446], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [385, 445, 548, 555], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [396, 550, 562, 662], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [408, 653, 569, 768], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [418, 753, 572, 868], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [466, 45, 678, 194], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [484, 189, 684, 324], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [495, 323, 677, 445], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [501, 445, 691, 566], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [509, 558, 697, 684], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [519, 671, 699, 798], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [525, 777, 698, 908], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [621, 0, 861, 169], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [635, 162, 864, 312], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [639, 311, 855, 446], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [645, 444, 862, 579], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [647, 571, 858, 710], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [656, 693, 860, 837], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [660, 811, 855, 957], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [813, 0, 1000, 138], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [821, 121, 1000, 293], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [820, 292, 1000, 445], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [821, 445, 1000, 595], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [819, 588, 1000, 741], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [824, 725, 1000, 881], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [825, 851, 1000, 1000], \"label\": \"full portable gas cylinder\"}\n]\n```", "correct": true, "input_tokens": 1203, "output_tokens": 4604, "elapsed_seconds": 36.7408218330238, "metadata": {"match_method": "map", "num_predictions": 42, "num_ground_truth": 42, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 36.8241}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 190, "image": "0000242_03668_d_0000012_jpg.rf.06096e6f084464419e172f0d35ca4d48.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [777, 156, 965, 229], \"label\": \"car\"},\n {\"box_2d\": [451, 319, 550, 361], \"label\": \"car\"},\n {\"box_2d\": [445, 487, 533, 524], \"label\": \"car\"},\n {\"box_2d\": [306, 241, 369, 302], \"label\": \"car\"},\n {\"box_2d\": [219, 305, 290, 340], \"label\": \"car\"},\n {\"box_2d\": [249, 510, 304, 540], \"label\": \"car\"},\n {\"box_2d\": [352, 111, 405, 187], \"label\": \"car\"},\n {\"box_2d\": [269, 60, 336, 105], \"label\": \"van\"},\n {\"box_2d\": [309, 715, 359, 780], \"label\": \"car\"},\n {\"box_2d\": [373, 864, 431, 906], \"label\": \"car\"},\n {\"box_2d\": [555, 691, 631, 742], \"label\": \"car\"},\n {\"box_2d\": [604, 622, 1000, 770], \"label\": \"bus\"},\n {\"box_2d\": [391, 42, 438, 96], \"label\": \"tricycle\"},\n {\"box_2d\": [393, 106, 434, 136], \"label\": \"motorcycle\"},\n {\"box_2d\": [410, 176, 455, 217], \"label\": \"tricycle\"},\n {\"box_2d\": [31, 481, 65, 499], \"label\": \"car\"},\n {\"box_2d\": [134, 543, 178, 565], \"label\": \"car\"},\n {\"box_2d\": [350, 0, 404, 20], \"label\": \"car\"},\n {\"box_2d\": [274, 864, 311, 875], \"label\": \"person\"}\n]\n```", "correct": false, "input_tokens": 1253, "output_tokens": 1793, "elapsed_seconds": 19.207274749991484, "metadata": {"match_method": "map", "num_predictions": 19, "num_ground_truth": 41, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.4094242453575134, "attempts": 1, "retries": 0, "total_seconds": 19.2338}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 191, "image": "DJI_20230529111835_0160_T_JPG_jpg.rf.cb5b9a9d87fdc7c9ff407eb5530abb88.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [34, 35, 48, 48], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [31, 75, 45, 88], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [103, 447, 116, 460], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [100, 487, 116, 500], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [98, 527, 112, 540], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [93, 608, 109, 621], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [359, 383, 372, 396], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [449, 513, 465, 527], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [446, 588, 462, 602], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [424, 961, 439, 974], \"label\": \"solar panel hot spot\"}\n]\n```", "correct": true, "input_tokens": 1228, "output_tokens": 1405, "elapsed_seconds": 12.927612999919802, "metadata": {"match_method": "map", "num_predictions": 10, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8316831588745117, "attempts": 1, "retries": 0, "total_seconds": 12.9483}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 192, "image": "oil-tank-detection_oiltank_72_jpg.rf.bfd5af54297ea9f409419db50cd04705.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [252, 327, 336, 405], \"label\": \"oil tank\"},\n {\"box_2d\": [363, 386, 452, 467], \"label\": \"oil tank\"},\n {\"box_2d\": [362, 509, 450, 588], \"label\": \"oil tank\"},\n {\"box_2d\": [481, 447, 576, 528], \"label\": \"oil tank\"},\n {\"box_2d\": [607, 511, 706, 594], \"label\": \"oil tank\"},\n {\"box_2d\": [478, 184, 573, 267], \"label\": \"oil tank\"},\n {\"box_2d\": [567, 45, 665, 130], \"label\": \"oil tank\"},\n {\"box_2d\": [590, 233, 686, 316], \"label\": \"oil tank\"},\n {\"box_2d\": [682, 92, 785, 178], \"label\": \"oil tank\"},\n {\"box_2d\": [702, 286, 807, 373], \"label\": \"oil tank\"},\n {\"box_2d\": [802, 141, 907, 229], \"label\": \"oil tank\"}\n]\n```", "correct": true, "input_tokens": 1217, "output_tokens": 1230, "elapsed_seconds": 13.407746457960457, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 13.4697}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 193, "image": "fall-detection_11_mp4-445_jpg.rf.ec9538d8514a0521c6f155cde47497f3.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [686, 225, 781, 361], \"label\": \"fallen person\"},\n {\"box_2d\": [498, 612, 567, 714], \"label\": \"fallen person\"},\n {\"box_2d\": [484, 825, 538, 944], \"label\": \"fallen person\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 587, "elapsed_seconds": 8.655160917085595, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 8.6661}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 194, "image": "IMG_0619_jpeg.rf.c3c23da72f8dbeb2815ccc4646178889.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [480, 185, 610, 279], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [621, 344, 755, 476], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [597, 577, 749, 676], \"label\": \"peach jelly bean\"},\n {\"box_2d\": [484, 675, 576, 789], \"label\": \"peach jelly bean\"},\n {\"box_2d\": [451, 493, 570, 578], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [348, 359, 449, 424], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [264, 307, 349, 377], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [348, 748, 434, 839], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [259, 478, 333, 543], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [254, 638, 325, 701], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [318, 543, 410, 610], \"label\": \"caramel corn jelly bean\"}\n]\n```", "correct": true, "input_tokens": 1230, "output_tokens": 3459, "elapsed_seconds": 31.356090915971436, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 31.3908}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 195, "image": "GP010243_JPG_jpg.rf.64d32b7106e99e9f954d84ee868d21ec.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [60, 353, 252, 387], \"label\": \"carrot\"},\n {\"box_2d\": [86, 386, 220, 461], \"label\": \"carrot\"},\n {\"box_2d\": [91, 497, 181, 614], \"label\": \"carrot\"},\n {\"box_2d\": [95, 445, 319, 570], \"label\": \"carrot\"},\n {\"box_2d\": [167, 373, 312, 416], \"label\": \"carrot\"},\n {\"box_2d\": [161, 391, 303, 442], \"label\": \"carrot\"},\n {\"box_2d\": [130, 562, 336, 606], \"label\": \"carrot\"},\n {\"box_2d\": [148, 527, 220, 681], \"label\": \"carrot\"},\n {\"box_2d\": [159, 620, 294, 686], \"label\": \"carrot\"},\n {\"box_2d\": [216, 612, 367, 694], \"label\": \"carrot\"},\n {\"box_2d\": [231, 617, 391, 703], \"label\": \"carrot\"},\n {\"box_2d\": [278, 678, 422, 709], \"label\": \"carrot\"},\n {\"box_2d\": [259, 472, 408, 608], \"label\": \"carrot\"},\n {\"box_2d\": [284, 344, 380, 453], \"label\": \"carrot\"},\n {\"box_2d\": [270, 452, 475, 491], \"label\": \"carrot\"},\n {\"box_2d\": [288, 484, 423, 511], \"label\": \"carrot\"},\n {\"box_2d\": [344, 408, 520, 444], \"label\": \"carrot\"},\n {\"box_2d\": [370, 391, 542, 417], \"label\": \"carrot\"},\n {\"box_2d\": [433, 342, 588, 395], \"label\": \"carrot\"},\n {\"box_2d\": [528, 344, 580, 473], \"label\": \"carrot\"},\n {\"box_2d\": [395, 488, 455, 631], \"label\": \"carrot\"},\n {\"box_2d\": [373, 559, 488, 684], \"label\": \"carrot\"},\n {\"box_2d\": [345, 594, 511, 625], \"label\": \"carrot\"},\n {\"box_2d\": [422, 567, 517, 605], \"label\": \"carrot\"},\n {\"box_2d\": [470, 419, 497, 575], \"label\": \"carrot\"},\n {\"box_2d\": [497, 422, 536, 572], \"label\": \"carrot\"},\n {\"box_2d\": [581, 483, 614, 684], \"label\": \"carrot\"},\n {\"box_2d\": [608, 472, 650, 653], \"label\": \"carrot\"},\n {\"box_2d\": [612, 384, 730, 444], \"label\": \"carrot\"},\n {\"box_2d\": [627, 384, 756, 544], \"label\": \"carrot\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 5618, "elapsed_seconds": 48.925816916977055, "metadata": {"match_method": "map", "num_predictions": 30, "num_ground_truth": 31, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9603960514068604, "attempts": 1, "retries": 0, "total_seconds": 48.9504}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 196, "image": "AF6880-9_2025_NCPT-169_JPG_jpg.rf.ea0bce7069f12d5c1ba29710a0998228.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [56, 191, 148, 229], \"label\": \"potato\"},\n {\"box_2d\": [612, 194, 672, 217], \"label\": \"potato\"},\n {\"box_2d\": [13, 238, 82, 267], \"label\": \"potato\"},\n {\"box_2d\": [80, 237, 150, 268], \"label\": \"potato\"},\n {\"box_2d\": [146, 232, 224, 268], \"label\": \"potato\"},\n {\"box_2d\": [399, 234, 461, 261], \"label\": \"potato\"},\n {\"box_2d\": [669, 230, 749, 262], \"label\": \"potato\"},\n {\"box_2d\": [31, 285, 92, 309], \"label\": \"potato\"},\n {\"box_2d\": [249, 274, 349, 312], \"label\": \"potato\"},\n {\"box_2d\": [427, 276, 519, 310], \"label\": \"potato\"},\n {\"box_2d\": [523, 275, 616, 312], \"label\": \"potato\"},\n {\"box_2d\": [641, 272, 728, 308], \"label\": \"potato\"},\n {\"box_2d\": [726, 274, 805, 304], \"label\": \"potato\"},\n {\"box_2d\": [58, 320, 158, 357], \"label\": \"potato\"},\n {\"box_2d\": [322, 321, 427, 361], \"label\": \"potato\"},\n {\"box_2d\": [453, 319, 535, 350], \"label\": \"potato\"},\n {\"box_2d\": [590, 316, 671, 351], \"label\": \"potato\"},\n {\"box_2d\": [917, 313, 1000, 346], \"label\": \"potato\"},\n {\"box_2d\": [9, 370, 88, 403], \"label\": \"potato\"},\n {\"box_2d\": [90, 368, 165, 400], \"label\": \"potato\"},\n {\"box_2d\": [161, 370, 237, 400], \"label\": \"potato\"},\n {\"box_2d\": [225, 361, 280, 384], \"label\": \"potato\"},\n {\"box_2d\": [276, 357, 391, 404], \"label\": \"potato\"},\n {\"box_2d\": [388, 365, 474, 398], \"label\": \"potato\"},\n {\"box_2d\": [472, 360, 576, 400], \"label\": \"potato\"},\n {\"box_2d\": [658, 365, 730, 394], \"label\": \"potato\"},\n {\"box_2d\": [726, 355, 828, 398], \"label\": \"potato\"},\n {\"box_2d\": [824, 353, 929, 394], \"label\": \"potato\"},\n {\"box_2d\": [924, 359, 1000, 397], \"label\": \"potato\"},\n {\"box_2d\": [71, 412, 146, 445], \"label\": \"potato\"},\n {\"box_2d\": [142, 408, 251, 449], \"label\": \"potato\"},\n {\"box_2d\": [249, 409, 345, 446], \"label\": \"potato\"},\n {\"box_2d\": [340, 412, 399, 437], \"label\": \"potato\"},\n {\"box_2d\": [399, 400, 499, 441], \"label\": \"potato\"},\n {\"box_2d\": [503, 401, 613, 439], \"label\": \"potato\"},\n {\"box_2d\": [655, 401, 748, 440], \"label\": \"potato\"},\n {\"box_2d\": [861, 397, 942, 435], \"label\": \"potato\"},\n {\"box_2d\": [938, 404, 1000, 435], \"label\": \"potato\"},\n {\"box_2d\": [4, 454, 111, 498], \"label\": \"potato\"},\n {\"box_2d\": [110, 453, 207, 491], \"label\": \"potato\"},\n {\"box_2d\": [204, 452, 293, 491], \"label\": \"potato\"},\n {\"box_2d\": [288, 446, 365, 481], \"label\": \"potato\"},\n {\"box_2d\": [362, 448, 465, 490], \"label\": \"potato\"},\n {\"box_2d\": [513, 451, 591, 485], \"label\": \"potato\"},\n {\"box_2d\": [605, 446, 695, 485], \"label\": \"potato\"},\n {\"box_2d\": [49, 501, 138, 537], \"label\": \"potato\"},\n {\"box_2d\": [134, 501, 214, 533], \"label\": \"potato\"},\n {\"box_2d\": [211, 502, 281, 531], \"label\": \"potato\"},\n {\"box_2d\": [278, 499, 378, 538], \"label\": \"potato\"},\n {\"box_2d\": [484, 492, 600, 541], \"label\": \"potato\"},\n {\"box_2d\": [764, 487, 859, 530], \"label\": \"potato\"},\n {\"box_2d\": [856, 492, 933, 522], \"label\": \"potato\"},\n {\"box_2d\": [929, 489, 1000, 524], \"label\": \"potato\"},\n {\"box_2d\": [226, 543, 316, 574], \"label\": \"potato\"},\n {\"box_2d\": [383, 536, 484, 581], \"label\": \"potato\"},\n {\"box_2d\": [76, 585, 170, 622], \"label\": \"potato\"},\n {\"box_2d\": [235, 581, 353, 621], \"label\": \"potato\"},\n {\"box_2d\": [559, 585, 636, 613], \"label\": \"potato\"},\n {\"box_2d\": [636, 581, 729, 612], \"label\": \"potato\"},\n {\"box_2d\": [5, 633, 96, 666], \"label\": \"potato\"},\n {\"box_2d\": [92, 632, 177, 670], \"label\": \"potato\"},\n {\"box_2d\": [172, 634, 236, 661], \"label\": \"potato\"},\n {\"box_2d\": [192, 670, 295, 708], \"label\": \"potato\"},\n {\"box_2d\": [420, 669, 516, 704], \"label\": \"potato\"},\n {\"box_2d\": [568, 669, 633, 697], \"label\": \"potato\"},\n {\"box_2d\": [821, 664, 916, 700], \"label\": \"potato\"},\n {\"box_2d\": [576, 752, 683, 791], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 4649, "elapsed_seconds": 51.75837141694501, "metadata": {"match_method": "map", "num_predictions": 67, "num_ground_truth": 67, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 52.228}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 197, "image": "frame_0086_jpg.rf.5ae0e80356e2c5bb993a052e5023c7f1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [31, 341, 63, 362], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [32, 396, 65, 417], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [36, 452, 70, 474], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [41, 508, 74, 530], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [114, 330, 151, 350], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [116, 386, 154, 407], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [121, 442, 160, 464], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [125, 500, 165, 523], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [656, 300, 703, 325], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [659, 361, 708, 386], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [671, 424, 718, 450], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [682, 489, 731, 515], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [772, 297, 815, 321], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [777, 357, 822, 382], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [788, 422, 833, 447], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [802, 487, 847, 512], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [880, 294, 926, 317], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [887, 354, 934, 378], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [900, 418, 946, 442], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [914, 483, 960, 507], \"label\": \"soda bottle cap\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 1565, "elapsed_seconds": 35.49189145793207, "metadata": {"match_method": "map", "num_predictions": 20, "num_ground_truth": 20, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 35.8639}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 198, "image": "image_147_png_jpg.rf.fd3e0f5032b1ae386c027b1058ac751a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [122, 672, 405, 890], \"label\": \"tire size text\"},\n {\"box_2d\": [417, 81, 778, 211], \"label\": \"tire size text\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 383, "elapsed_seconds": 10.411052334005944, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 10.6872}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 199, "image": "fabric-defect_1080_jpg.rf.77a4ab03e25cfeeaaa1f6bbdcb3e7742.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [565, 486, 672, 727], \"label\": \"fabric cut\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 205, "elapsed_seconds": 4.648147124913521, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 4.6557}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 200, "image": "oil-tank-detection_oiltank_137_jpg.rf.be33343bf10652832014b855d080a80c.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [85, 463, 224, 588], \"label\": \"oil tank\"},\n {\"box_2d\": [237, 456, 376, 580], \"label\": \"oil tank\"},\n {\"box_2d\": [392, 449, 534, 574], \"label\": \"oil tank\"},\n {\"box_2d\": [550, 449, 681, 560], \"label\": \"oil tank\"},\n {\"box_2d\": [95, 597, 237, 722], \"label\": \"oil tank\"},\n {\"box_2d\": [245, 595, 386, 718], \"label\": \"oil tank\"},\n {\"box_2d\": [400, 588, 545, 714], \"label\": \"oil tank\"},\n {\"box_2d\": [557, 592, 689, 704], \"label\": \"oil tank\"},\n {\"box_2d\": [108, 732, 228, 836], \"label\": \"oil tank\"},\n {\"box_2d\": [237, 730, 358, 836], \"label\": \"oil tank\"},\n {\"box_2d\": [367, 728, 491, 836], \"label\": \"oil tank\"},\n {\"box_2d\": [117, 850, 195, 920], \"label\": \"oil tank\"},\n {\"box_2d\": [194, 847, 274, 920], \"label\": \"oil tank\"},\n {\"box_2d\": [278, 848, 355, 920], \"label\": \"oil tank\"},\n {\"box_2d\": [361, 848, 441, 920], \"label\": \"oil tank\"},\n {\"box_2d\": [447, 846, 526, 919], \"label\": \"oil tank\"},\n {\"box_2d\": [587, 844, 669, 916], \"label\": \"oil tank\"}\n]\n```", "correct": true, "input_tokens": 1217, "output_tokens": 2316, "elapsed_seconds": 28.38349629100412, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 17, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 28.4434}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 201, "image": "basketball-player-detection_boston-celtics-new-york-knicks-game-1-q1-05-13-05-09-0000_png.rf.31fd4573143b8c82031c8804c4754e40.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [323, 198, 350, 213], \"label\": \"basketball\"},\n {\"box_2d\": [292, 160, 456, 203], \"label\": \"player in possession\"},\n {\"box_2d\": [359, 130, 610, 182], \"label\": \"player\"},\n {\"box_2d\": [400, 225, 650, 280], \"label\": \"player\"},\n {\"box_2d\": [304, 297, 491, 356], \"label\": \"player\"},\n {\"box_2d\": [576, 466, 804, 530], \"label\": \"player\"},\n {\"box_2d\": [481, 483, 686, 529], \"label\": \"player\"},\n {\"box_2d\": [196, 539, 377, 591], \"label\": \"player\"},\n {\"box_2d\": [145, 533, 309, 569], \"label\": \"player\"},\n {\"box_2d\": [247, 656, 453, 695], \"label\": \"player\"},\n {\"box_2d\": [176, 667, 355, 709], \"label\": \"player\"},\n {\"box_2d\": [222, 8, 396, 68], \"label\": \"referee\"},\n {\"box_2d\": [676, 630, 910, 679], \"label\": \"referee\"},\n {\"box_2d\": [201, 742, 377, 783], \"label\": \"referee\"},\n {\"box_2d\": [192, 712, 252, 747], \"label\": \"basket rim\"},\n {\"box_2d\": [461, 241, 486, 252], \"label\": \"jersey number\"},\n {\"box_2d\": [331, 319, 355, 335], \"label\": \"jersey number\"},\n {\"box_2d\": [410, 141, 439, 152], \"label\": \"jersey number\"},\n {\"box_2d\": [636, 472, 667, 483], \"label\": \"jersey number\"},\n {\"box_2d\": [725, 650, 749, 665], \"label\": \"jersey number\"},\n {\"box_2d\": [235, 561, 258, 570], \"label\": \"jersey number\"},\n {\"box_2d\": [297, 671, 318, 680], \"label\": \"jersey number\"}\n]\n```", "correct": false, "input_tokens": 1250, "output_tokens": 2085, "elapsed_seconds": 18.096256041899323, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 23, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7861857414245605, "attempts": 1, "retries": 0, "total_seconds": 18.1922}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 202, "image": "z4517190790071_c6f2ede212488ea95f254bbe631608fc_jpg.rf.f7f6570fcaaac50f965457b35ee9278d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [158, 349, 263, 505], \"label\": \"10 poker chip\"},\n {\"box_2d\": [228, 586, 341, 753], \"label\": \"50 poker chip\"},\n {\"box_2d\": [282, 239, 397, 405], \"label\": \"20 poker chip\"},\n {\"box_2d\": [292, 439, 409, 605], \"label\": \"20 poker chip\"},\n {\"box_2d\": [362, 102, 484, 275], \"label\": \"100 poker chip\"},\n {\"box_2d\": [344, 769, 466, 947], \"label\": \"5000 poker chip\"},\n {\"box_2d\": [421, 357, 546, 530], \"label\": \"20 poker chip\"},\n {\"box_2d\": [425, 605, 553, 785], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [457, 187, 587, 365], \"label\": \"10 poker chip\"},\n {\"box_2d\": [548, 25, 687, 210], \"label\": \"50 poker chip\"},\n {\"box_2d\": [574, 247, 716, 433], \"label\": \"20 poker chip\"},\n {\"box_2d\": [526, 456, 663, 639], \"label\": \"20 poker chip\"},\n {\"box_2d\": [549, 697, 690, 888], \"label\": \"500 poker chip\"},\n {\"box_2d\": [705, 395, 864, 593], \"label\": \"50 poker chip\"},\n {\"box_2d\": [692, 601, 849, 800], \"label\": \"50 poker chip\"}\n]\n```", "correct": true, "input_tokens": 1246, "output_tokens": 1700, "elapsed_seconds": 20.65200383402407, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 20.8443}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 203, "image": "0000272_05500_d_0000012_jpg.rf.4ba2cfdc69b70f306855d444db49f509.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [871, 452, 1000, 517], \"label\": \"car\"},\n {\"box_2d\": [595, 476, 742, 526], \"label\": \"car\"},\n {\"box_2d\": [617, 581, 732, 645], \"label\": \"car\"},\n {\"box_2d\": [424, 481, 518, 520], \"label\": \"car\"},\n {\"box_2d\": [282, 487, 362, 521], \"label\": \"car\"},\n {\"box_2d\": [230, 528, 283, 555], \"label\": \"car\"},\n {\"box_2d\": [174, 585, 220, 613], \"label\": \"car\"},\n {\"box_2d\": [186, 483, 251, 506], \"label\": \"van\"},\n {\"box_2d\": [262, 566, 320, 588], \"label\": \"awning tricycle\"},\n {\"box_2d\": [74, 561, 108, 582], \"label\": \"car\"},\n {\"box_2d\": [34, 556, 74, 575], \"label\": \"car\"},\n {\"box_2d\": [25, 518, 58, 537], \"label\": \"car\"},\n {\"box_2d\": [4, 554, 33, 569], \"label\": \"car\"},\n {\"box_2d\": [111, 424, 159, 442], \"label\": \"car\"},\n {\"box_2d\": [68, 425, 119, 447], \"label\": \"van\"},\n {\"box_2d\": [331, 381, 391, 403], \"label\": \"awning tricycle\"},\n {\"box_2d\": [297, 385, 344, 404], \"label\": \"tricycle\"},\n {\"box_2d\": [208, 400, 261, 422], \"label\": \"awning tricycle\"},\n {\"box_2d\": [748, 28, 834, 83], \"label\": \"car\"},\n {\"box_2d\": [772, 350, 848, 370], \"label\": \"person\"},\n {\"box_2d\": [712, 401, 777, 420], \"label\": \"person\"},\n {\"box_2d\": [742, 402, 799, 419], \"label\": \"bike\"},\n {\"box_2d\": [420, 413, 474, 426], \"label\": \"person\"},\n {\"box_2d\": [491, 671, 550, 689], \"label\": \"person\"},\n {\"box_2d\": [334, 608, 376, 621], \"label\": \"person\"},\n {\"box_2d\": [348, 608, 384, 622], \"label\": \"motorcycle\"},\n {\"box_2d\": [426, 847, 462, 869], \"label\": \"motorcycle\"},\n {\"box_2d\": [134, 447, 166, 455], \"label\": \"person\"}\n]\n```", "correct": false, "input_tokens": 1251, "output_tokens": 2362, "elapsed_seconds": 20.91548204200808, "metadata": {"match_method": "map", "num_predictions": 28, "num_ground_truth": 48, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3722997307777405, "attempts": 1, "retries": 0, "total_seconds": 20.9594}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 204, "image": "IMG_20251126_160326_jpg.rf.31a216199c4280d746f5865a68a63ce2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 476, 195, 553], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [2, 629, 179, 710], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [692, 33, 785, 104], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [662, 118, 953, 195], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [682, 241, 772, 312], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [659, 311, 770, 385], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [672, 381, 767, 450], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [664, 463, 756, 532], \"label\": \"white standard price tag\"},\n {\"box_2d\": [638, 591, 926, 668], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [657, 688, 753, 758], \"label\": \"white standard price tag\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 1310, "elapsed_seconds": 16.331045792088844, "metadata": {"match_method": "map", "num_predictions": 10, "num_ground_truth": 10, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 16.6029}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 205, "image": "54_jpg.rf.3f4031b98a1a0622e63a0c84142db646.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [46, 108, 121, 350], \"label\": \"blood sample tube\"},\n {\"box_2d\": [17, 542, 94, 786], \"label\": \"blood sample tube\"},\n {\"box_2d\": [43, 291, 326, 450], \"label\": \"blood sample tube\"},\n {\"box_2d\": [48, 452, 237, 676], \"label\": \"blood sample tube\"},\n {\"box_2d\": [70, 650, 378, 790], \"label\": \"blood sample tube\"},\n {\"box_2d\": [51, 780, 376, 838], \"label\": \"blood sample tube\"},\n {\"box_2d\": [157, 825, 483, 881], \"label\": \"blood sample tube\"},\n {\"box_2d\": [176, 319, 419, 513], \"label\": \"blood sample tube\"},\n {\"box_2d\": [195, 558, 463, 738], \"label\": \"blood sample tube\"},\n {\"box_2d\": [234, 642, 505, 823], \"label\": \"blood sample tube\"},\n {\"box_2d\": [311, 224, 631, 278], \"label\": \"blood sample tube\"},\n {\"box_2d\": [400, 107, 697, 241], \"label\": \"blood sample tube\"},\n {\"box_2d\": [383, 305, 684, 429], \"label\": \"blood sample tube\"},\n {\"box_2d\": [297, 369, 597, 498], \"label\": \"blood sample tube\"},\n {\"box_2d\": [412, 375, 709, 515], \"label\": \"blood sample tube\"},\n {\"box_2d\": [338, 474, 613, 639], \"label\": \"blood sample tube\"},\n {\"box_2d\": [427, 618, 608, 849], \"label\": \"blood sample tube\"},\n {\"box_2d\": [516, 652, 695, 886], \"label\": \"blood sample tube\"},\n {\"box_2d\": [544, 554, 726, 787], \"label\": \"blood sample tube\"},\n {\"box_2d\": [686, 117, 751, 360], \"label\": \"blood sample tube\"},\n {\"box_2d\": [678, 414, 744, 661], \"label\": \"blood sample tube\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 2312, "elapsed_seconds": 17.86549879203085, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 21, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 17.8866}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 206, "image": "car-part-detection_Car-damages-100_png_jpg.rf.662e4c271efc89eea96c10e14886a134.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [389, 121, 434, 162], \"label\": \"headlight\"},\n {\"box_2d\": [412, 102, 576, 175], \"label\": \"front bumper\"},\n {\"box_2d\": [326, 134, 394, 292], \"label\": \"hood\"},\n {\"box_2d\": [315, 319, 365, 344], \"label\": \"mirror\"},\n {\"box_2d\": [229, 343, 362, 538], \"label\": \"front window\"},\n {\"box_2d\": [222, 299, 582, 546], \"label\": \"front door\"},\n {\"box_2d\": [229, 546, 354, 753], \"label\": \"back window\"},\n {\"box_2d\": [222, 520, 587, 769], \"label\": \"back door\"},\n {\"box_2d\": [370, 879, 439, 954], \"label\": \"tail light\"},\n {\"box_2d\": [426, 840, 608, 962], \"label\": \"back bumper\"}\n]\n```", "correct": false, "input_tokens": 1273, "output_tokens": 1185, "elapsed_seconds": 11.469226583023556, "metadata": {"match_method": "map", "num_predictions": 10, "num_ground_truth": 13, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7499998807907104, "attempts": 1, "retries": 0, "total_seconds": 11.4807}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 207, "image": "11_jpeg_jpg.rf.39329fe23320cf7bc33af6b9a57582d1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [77, 259, 181, 340], \"label\": \"potato\"},\n {\"box_2d\": [87, 643, 180, 740], \"label\": \"potato\"},\n {\"box_2d\": [297, 35, 421, 134], \"label\": \"potato\"},\n {\"box_2d\": [298, 345, 391, 434], \"label\": \"potato\"},\n {\"box_2d\": [321, 981, 406, 1000], \"label\": \"potato\"},\n {\"box_2d\": [498, 201, 659, 316], \"label\": \"potato\"},\n {\"box_2d\": [487, 405, 593, 499], \"label\": \"potato\"},\n {\"box_2d\": [503, 619, 594, 701], \"label\": \"potato\"},\n {\"box_2d\": [503, 789, 601, 878], \"label\": \"potato\"},\n {\"box_2d\": [650, 511, 818, 620], \"label\": \"potato\"},\n {\"box_2d\": [697, 324, 829, 434], \"label\": \"potato\"},\n {\"box_2d\": [714, 0, 808, 33], \"label\": \"potato\"},\n {\"box_2d\": [710, 703, 810, 782], \"label\": \"potato\"},\n {\"box_2d\": [703, 814, 809, 883], \"label\": \"potato\"},\n {\"box_2d\": [913, 315, 1000, 421], \"label\": \"potato\"},\n {\"box_2d\": [898, 745, 1000, 838], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1240, "output_tokens": 2093, "elapsed_seconds": 17.74780979193747, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 17.7828}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 208, "image": "oil-tank-detection_oiltank_3_jpg.rf.be0eb144cee15c2f85755ead464dc286.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [102, 71, 235, 176], \"label\": \"oil tank\"},\n {\"box_2d\": [97, 227, 231, 335], \"label\": \"oil tank\"},\n {\"box_2d\": [280, 72, 418, 178], \"label\": \"oil tank\"},\n {\"box_2d\": [275, 228, 411, 336], \"label\": \"oil tank\"},\n {\"box_2d\": [88, 456, 221, 564], \"label\": \"oil tank\"},\n {\"box_2d\": [82, 612, 214, 718], \"label\": \"oil tank\"},\n {\"box_2d\": [267, 462, 402, 569], \"label\": \"oil tank\"},\n {\"box_2d\": [261, 619, 396, 726], \"label\": \"oil tank\"},\n {\"box_2d\": [537, 131, 631, 202], \"label\": \"oil tank\"},\n {\"box_2d\": [534, 225, 627, 296], \"label\": \"oil tank\"}\n]\n```", "correct": true, "input_tokens": 1217, "output_tokens": 1243, "elapsed_seconds": 11.991154917050153, "metadata": {"match_method": "map", "num_predictions": 10, "num_ground_truth": 10, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 12.0524}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 209, "image": "tile_558_jpg.rf.98aa48e6c54062f1e67b01de665e6887.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [76, 882, 97, 922], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [312, 569, 333, 603], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [345, 245, 377, 323], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [602, 836, 622, 892], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [623, 338, 667, 422], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [869, 154, 902, 226], \"label\": \"ship in SAR satellite image\"}\n]\n```", "correct": true, "input_tokens": 1229, "output_tokens": 768, "elapsed_seconds": 11.604520249995403, "metadata": {"match_method": "map", "num_predictions": 6, "num_ground_truth": 6, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 11.6428}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 210, "image": "20230224_110122_jpg.rf.94c8b9d6caaec8593c315337e30857d7.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [591, 198, 650, 282], \"label\": \"crack\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 244, "elapsed_seconds": 5.106759625021368, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 5.1203}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 211, "image": "IMG_20220316_144550_jpg.rf.92c6d74a9ccc9c6c90918613d40eb144.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [281, 513, 671, 686], \"label\": \"eight of hearts\"},\n {\"box_2d\": [444, 405, 892, 667], \"label\": \"seven of hearts\"},\n {\"box_2d\": [246, 289, 656, 524], \"label\": \"six of hearts\"},\n {\"box_2d\": [550, 171, 1000, 514], \"label\": \"five of hearts\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 729, "elapsed_seconds": 8.663258792017587, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 8.678}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 212, "image": "wood-log-detection_006_png_jpg.rf.45786538ddac406dd0014f409b1d4caa.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [95, 203, 139, 262], \"label\": \"log cross-section\"},\n {\"box_2d\": [184, 238, 212, 273], \"label\": \"log cross-section\"},\n {\"box_2d\": [88, 294, 136, 359], \"label\": \"log cross-section\"},\n {\"box_2d\": [206, 323, 231, 352], \"label\": \"log cross-section\"},\n {\"box_2d\": [122, 389, 156, 434], \"label\": \"log cross-section\"},\n {\"box_2d\": [192, 447, 223, 481], \"label\": \"log cross-section\"},\n {\"box_2d\": [56, 452, 120, 533], \"label\": \"log cross-section\"},\n {\"box_2d\": [120, 477, 169, 550], \"label\": \"log cross-section\"},\n {\"box_2d\": [56, 567, 105, 630], \"label\": \"log cross-section\"},\n {\"box_2d\": [125, 558, 156, 594], \"label\": \"log cross-section\"},\n {\"box_2d\": [148, 572, 184, 620], \"label\": \"log cross-section\"},\n {\"box_2d\": [119, 595, 155, 642], \"label\": \"log cross-section\"},\n {\"box_2d\": [81, 623, 125, 678], \"label\": \"log cross-section\"},\n {\"box_2d\": [108, 664, 144, 712], \"label\": \"log cross-section\"},\n {\"box_2d\": [162, 631, 200, 686], \"label\": \"log cross-section\"},\n {\"box_2d\": [161, 723, 203, 778], \"label\": \"log cross-section\"}\n]\n```", "correct": true, "input_tokens": 1228, "output_tokens": 1900, "elapsed_seconds": 17.182099916040897, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 17.2004}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 213, "image": "Container_864_jpg.rf.9627e6adc1ff8e75c7d8ca9f8cc06311.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [112, 542, 389, 564], \"label\": \"shipping container number\"},\n {\"box_2d\": [96, 603, 196, 618], \"label\": \"container ISO type code\"}\n]\n```", "correct": true, "input_tokens": 1232, "output_tokens": 640, "elapsed_seconds": 9.169573624967597, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 9.1869}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 214, "image": "uav20221018_ixfZ_3857_14_png.rf.64d1ce8897202b1ab5141c12ebcde0db.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 159, 43, 228], \"label\": \"banana tree\"},\n {\"box_2d\": [44, 244, 82, 279], \"label\": \"banana tree\"},\n {\"box_2d\": [85, 175, 134, 211], \"label\": \"banana tree\"},\n {\"box_2d\": [121, 243, 170, 290], \"label\": \"banana tree\"},\n {\"box_2d\": [169, 170, 217, 219], \"label\": \"banana tree\"},\n {\"box_2d\": [211, 240, 260, 282], \"label\": \"banana tree\"},\n {\"box_2d\": [258, 176, 300, 215], \"label\": \"banana tree\"},\n {\"box_2d\": [306, 241, 344, 280], \"label\": \"banana tree\"},\n {\"box_2d\": [344, 174, 396, 226], \"label\": \"banana tree\"},\n {\"box_2d\": [390, 252, 426, 290], \"label\": \"banana tree\"},\n {\"box_2d\": [427, 178, 483, 222], \"label\": \"banana tree\"},\n {\"box_2d\": [471, 249, 521, 294], \"label\": \"banana tree\"},\n {\"box_2d\": [514, 182, 560, 225], \"label\": \"banana tree\"},\n {\"box_2d\": [565, 250, 610, 292], \"label\": \"banana tree\"},\n {\"box_2d\": [600, 179, 651, 232], \"label\": \"banana tree\"},\n {\"box_2d\": [642, 245, 706, 297], \"label\": \"banana tree\"},\n {\"box_2d\": [681, 169, 738, 236], \"label\": \"banana tree\"},\n {\"box_2d\": [733, 241, 787, 295], \"label\": \"banana tree\"},\n {\"box_2d\": [781, 180, 830, 231], \"label\": \"banana tree\"},\n {\"box_2d\": [828, 252, 875, 297], \"label\": \"banana tree\"},\n {\"box_2d\": [864, 179, 916, 238], \"label\": \"banana tree\"},\n {\"box_2d\": [910, 253, 962, 306], \"label\": \"banana tree\"},\n {\"box_2d\": [954, 182, 1000, 240], \"label\": \"banana tree\"},\n {\"box_2d\": [2, 469, 77, 540], \"label\": \"banana tree\"},\n {\"box_2d\": [53, 554, 108, 600], \"label\": \"banana tree\"},\n {\"box_2d\": [94, 465, 162, 535], \"label\": \"banana tree\"},\n {\"box_2d\": [142, 545, 198, 604], \"label\": \"banana tree\"},\n {\"box_2d\": [167, 471, 248, 543], \"label\": \"banana tree\"},\n {\"box_2d\": [232, 559, 271, 597], \"label\": \"banana tree\"},\n {\"box_2d\": [273, 487, 323, 532], \"label\": \"banana tree\"},\n {\"box_2d\": [315, 558, 366, 599], \"label\": \"banana tree\"},\n {\"box_2d\": [350, 481, 428, 544], \"label\": \"banana tree\"},\n {\"box_2d\": [399, 552, 449, 604], \"label\": \"banana tree\"},\n {\"box_2d\": [434, 483, 495, 544], \"label\": \"banana tree\"},\n {\"box_2d\": [478, 565, 533, 605], \"label\": \"banana tree\"},\n {\"box_2d\": [525, 476, 584, 539], \"label\": \"banana tree\"},\n {\"box_2d\": [575, 562, 623, 605], \"label\": \"banana tree\"},\n {\"box_2d\": [616, 484, 678, 548], \"label\": \"banana tree\"},\n {\"box_2d\": [657, 551, 709, 608], \"label\": \"banana tree\"},\n {\"box_2d\": [685, 480, 774, 565], \"label\": \"banana tree\"},\n {\"box_2d\": [744, 553, 795, 611], \"label\": \"banana tree\"},\n {\"box_2d\": [792, 480, 859, 544], \"label\": \"banana tree\"},\n {\"box_2d\": [836, 567, 874, 606], \"label\": \"banana tree\"},\n {\"box_2d\": [868, 488, 932, 546], \"label\": \"banana tree\"},\n {\"box_2d\": [919, 573, 962, 612], \"label\": \"banana tree\"},\n {\"box_2d\": [961, 490, 1000, 550], \"label\": \"banana tree\"},\n {\"box_2d\": [765, 854, 821, 916], \"label\": \"banana tree\"},\n {\"box_2d\": [810, 780, 877, 840], \"label\": \"banana tree\"},\n {\"box_2d\": [858, 863, 902, 904], \"label\": \"banana tree\"},\n {\"box_2d\": [900, 791, 966, 850], \"label\": \"banana tree\"},\n {\"box_2d\": [937, 864, 998, 919], \"label\": \"banana tree\"}\n]\n```", "correct": false, "input_tokens": 1226, "output_tokens": 3059, "elapsed_seconds": 28.139642334077507, "metadata": {"match_method": "map", "num_predictions": 51, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7813327312469482, "attempts": 1, "retries": 0, "total_seconds": 28.1831}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 215, "image": "1704192313045_jpg.rf.f68f24072cd4a5061cddf9521b0b617a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [265, 602, 336, 687], \"label\": \"chickpea grain\"},\n {\"box_2d\": [431, 293, 515, 366], \"label\": \"chickpea grain\"},\n {\"box_2d\": [501, 438, 565, 511], \"label\": \"chickpea grain\"},\n {\"box_2d\": [592, 729, 671, 807], \"label\": \"chickpea grain\"},\n {\"box_2d\": [698, 229, 780, 300], \"label\": \"chickpea grain\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 563, "elapsed_seconds": 11.150979958008975, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 11.1637}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 216, "image": "A15311-6Ctrv_2025_NCPT-174_JPG_jpg.rf.fc9ee0cac2da2d059bc0db453be0c788.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [17, 170, 67, 190], \"label\": \"potato\"},\n {\"box_2d\": [108, 156, 203, 192], \"label\": \"potato\"},\n {\"box_2d\": [201, 162, 269, 191], \"label\": \"potato\"},\n {\"box_2d\": [105, 206, 185, 236], \"label\": \"potato\"},\n {\"box_2d\": [429, 202, 496, 229], \"label\": \"potato\"},\n {\"box_2d\": [569, 198, 646, 229], \"label\": \"potato\"},\n {\"box_2d\": [13, 253, 68, 278], \"label\": \"potato\"},\n {\"box_2d\": [75, 246, 159, 280], \"label\": \"potato\"},\n {\"box_2d\": [181, 242, 273, 281], \"label\": \"potato\"},\n {\"box_2d\": [376, 244, 456, 276], \"label\": \"potato\"},\n {\"box_2d\": [498, 243, 584, 278], \"label\": \"potato\"},\n {\"box_2d\": [806, 242, 886, 272], \"label\": \"potato\"},\n {\"box_2d\": [8, 291, 95, 324], \"label\": \"potato\"},\n {\"box_2d\": [95, 292, 152, 319], \"label\": \"potato\"},\n {\"box_2d\": [150, 289, 229, 322], \"label\": \"potato\"},\n {\"box_2d\": [391, 280, 517, 324], \"label\": \"potato\"},\n {\"box_2d\": [515, 294, 550, 313], \"label\": \"potato\"},\n {\"box_2d\": [549, 291, 608, 316], \"label\": \"potato\"},\n {\"box_2d\": [608, 289, 673, 314], \"label\": \"potato\"},\n {\"box_2d\": [691, 285, 764, 314], \"label\": \"potato\"},\n {\"box_2d\": [8, 340, 64, 365], \"label\": \"potato\"},\n {\"box_2d\": [64, 333, 155, 369], \"label\": \"potato\"},\n {\"box_2d\": [182, 320, 302, 366], \"label\": \"potato\"},\n {\"box_2d\": [301, 330, 399, 367], \"label\": \"potato\"},\n {\"box_2d\": [445, 328, 551, 367], \"label\": \"potato\"},\n {\"box_2d\": [563, 329, 655, 367], \"label\": \"potato\"},\n {\"box_2d\": [654, 334, 714, 359], \"label\": \"potato\"},\n {\"box_2d\": [32, 378, 108, 408], \"label\": \"potato\"},\n {\"box_2d\": [107, 375, 190, 410], \"label\": \"potato\"},\n {\"box_2d\": [189, 376, 272, 410], \"label\": \"potato\"},\n {\"box_2d\": [270, 369, 373, 410], \"label\": \"potato\"},\n {\"box_2d\": [485, 364, 597, 409], \"label\": \"potato\"},\n {\"box_2d\": [621, 368, 713, 404], \"label\": \"potato\"},\n {\"box_2d\": [716, 369, 803, 405], \"label\": \"potato\"},\n {\"box_2d\": [808, 374, 882, 401], \"label\": \"potato\"},\n {\"box_2d\": [75, 420, 158, 454], \"label\": \"potato\"},\n {\"box_2d\": [156, 417, 263, 457], \"label\": \"potato\"},\n {\"box_2d\": [282, 414, 406, 456], \"label\": \"potato\"},\n {\"box_2d\": [410, 415, 507, 452], \"label\": \"potato\"},\n {\"box_2d\": [611, 415, 691, 450], \"label\": \"potato\"},\n {\"box_2d\": [121, 459, 241, 500], \"label\": \"potato\"},\n {\"box_2d\": [312, 454, 434, 502], \"label\": \"potato\"},\n {\"box_2d\": [432, 463, 503, 495], \"label\": \"potato\"},\n {\"box_2d\": [597, 456, 735, 496], \"label\": \"potato\"},\n {\"box_2d\": [734, 448, 841, 494], \"label\": \"potato\"},\n {\"box_2d\": [931, 457, 1000, 488], \"label\": \"potato\"},\n {\"box_2d\": [9, 514, 67, 537], \"label\": \"potato\"},\n {\"box_2d\": [366, 501, 498, 545], \"label\": \"potato\"},\n {\"box_2d\": [826, 494, 951, 545], \"label\": \"potato\"},\n {\"box_2d\": [3, 557, 89, 589], \"label\": \"potato\"},\n {\"box_2d\": [401, 550, 500, 583], \"label\": \"potato\"},\n {\"box_2d\": [833, 545, 920, 578], \"label\": \"potato\"},\n {\"box_2d\": [919, 550, 973, 574], \"label\": \"potato\"},\n {\"box_2d\": [4, 599, 84, 631], \"label\": \"potato\"},\n {\"box_2d\": [157, 590, 286, 646], \"label\": \"potato\"},\n {\"box_2d\": [506, 591, 639, 639], \"label\": \"potato\"},\n {\"box_2d\": [705, 595, 773, 623], \"label\": \"potato\"},\n {\"box_2d\": [25, 631, 152, 680], \"label\": \"potato\"},\n {\"box_2d\": [452, 637, 553, 674], \"label\": \"potato\"},\n {\"box_2d\": [930, 722, 996, 749], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 5343, "elapsed_seconds": 47.30591479095165, "metadata": {"match_method": "map", "num_predictions": 60, "num_ground_truth": 60, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 47.7899}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 217, "image": "signatures_image_15_png_jpg.rf.6b815d82f5451daedc9c9077d66f9599.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [242, 74, 290, 402], \"label\": \"signature\"},\n {\"box_2d\": [230, 467, 281, 825], \"label\": \"signature\"},\n {\"box_2d\": [355, 74, 495, 434], \"label\": \"signature\"},\n {\"box_2d\": [413, 509, 480, 748], \"label\": \"signature\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 471, "elapsed_seconds": 7.080276624998078, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 7.1546}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 218, "image": "lot222_JPEG_jpg.rf.50df16e1f4326083fe341ec20a62dbe4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [168, 501, 188, 543], \"label\": \"chicory seed\"},\n {\"box_2d\": [172, 461, 198, 501], \"label\": \"chicory seed\"},\n {\"box_2d\": [182, 403, 209, 444], \"label\": \"chicory seed\"},\n {\"box_2d\": [189, 488, 210, 534], \"label\": \"chicory seed\"},\n {\"box_2d\": [169, 550, 198, 591], \"label\": \"chicory seed\"},\n {\"box_2d\": [179, 544, 210, 582], \"label\": \"chicory seed\"},\n {\"box_2d\": [192, 571, 226, 605], \"label\": \"chicory seed\"},\n {\"box_2d\": [189, 606, 221, 645], \"label\": \"chicory seed\"},\n {\"box_2d\": [201, 408, 234, 445], \"label\": \"chicory seed\"},\n {\"box_2d\": [193, 444, 231, 464], \"label\": \"chicory seed\"},\n {\"box_2d\": [200, 468, 241, 490], \"label\": \"chicory seed\"},\n {\"box_2d\": [208, 340, 229, 382], \"label\": \"chicory seed\"},\n {\"box_2d\": [228, 369, 250, 412], \"label\": \"chicory seed\"},\n {\"box_2d\": [247, 372, 267, 415], \"label\": \"chicory seed\"},\n {\"box_2d\": [217, 532, 254, 569], \"label\": \"chicory seed\"},\n {\"box_2d\": [231, 489, 264, 529], \"label\": \"chicory seed\"},\n {\"box_2d\": [243, 501, 275, 542], \"label\": \"chicory seed\"},\n {\"box_2d\": [242, 465, 279, 496], \"label\": \"chicory seed\"},\n {\"box_2d\": [246, 426, 288, 456], \"label\": \"chicory seed\"},\n {\"box_2d\": [225, 591, 264, 617], \"label\": \"chicory seed\"},\n {\"box_2d\": [199, 656, 234, 692], \"label\": \"chicory seed\"},\n {\"box_2d\": [222, 640, 248, 684], \"label\": \"chicory seed\"},\n {\"box_2d\": [218, 695, 252, 730], \"label\": \"chicory seed\"},\n {\"box_2d\": [248, 648, 271, 689], \"label\": \"chicory seed\"},\n {\"box_2d\": [248, 694, 270, 736], \"label\": \"chicory seed\"},\n {\"box_2d\": [250, 733, 290, 756], \"label\": \"chicory seed\"},\n {\"box_2d\": [258, 759, 298, 788], \"label\": \"chicory seed\"},\n {\"box_2d\": [240, 305, 268, 347], \"label\": \"chicory seed\"},\n {\"box_2d\": [246, 278, 284, 307], \"label\": \"chicory seed\"},\n {\"box_2d\": [268, 244, 305, 278], \"label\": \"chicory seed\"},\n {\"box_2d\": [276, 280, 303, 319], \"label\": \"chicory seed\"},\n {\"box_2d\": [262, 330, 302, 356], \"label\": \"chicory seed\"},\n {\"box_2d\": [262, 356, 307, 383], \"label\": \"chicory seed\"},\n {\"box_2d\": [266, 396, 307, 421], \"label\": \"chicory seed\"},\n {\"box_2d\": [274, 439, 302, 480], \"label\": \"chicory seed\"},\n {\"box_2d\": [292, 443, 319, 484], \"label\": \"chicory seed\"},\n {\"box_2d\": [272, 487, 292, 530], \"label\": \"chicory seed\"},\n {\"box_2d\": [252, 536, 279, 579], \"label\": \"chicory seed\"},\n {\"box_2d\": [264, 578, 286, 621], \"label\": \"chicory seed\"},\n {\"box_2d\": [276, 545, 313, 579], \"label\": \"chicory seed\"},\n {\"box_2d\": [281, 512, 306, 553], \"label\": \"chicory seed\"},\n {\"box_2d\": [264, 634, 291, 676], \"label\": \"chicory seed\"},\n {\"box_2d\": [274, 678, 312, 699], \"label\": \"chicory seed\"},\n {\"box_2d\": [269, 701, 308, 722], \"label\": \"chicory seed\"},\n {\"box_2d\": [281, 720, 319, 748], \"label\": \"chicory seed\"},\n {\"box_2d\": [291, 742, 321, 777], \"label\": \"chicory seed\"},\n {\"box_2d\": [292, 303, 325, 342], \"label\": \"chicory seed\"},\n {\"box_2d\": [306, 259, 330, 299], \"label\": \"chicory seed\"},\n {\"box_2d\": [313, 209, 336, 251], \"label\": \"chicory seed\"},\n {\"box_2d\": [332, 214, 353, 257], \"label\": \"chicory seed\"},\n {\"box_2d\": [325, 283, 354, 321], \"label\": \"chicory seed\"},\n {\"box_2d\": [321, 313, 358, 344], \"label\": \"chicory seed\"},\n {\"box_2d\": [313, 356, 334, 400], \"label\": \"chicory seed\"},\n {\"box_2d\": [309, 395, 338, 436], \"label\": \"chicory seed\"},\n {\"box_2d\": [302, 497, 323, 540], \"label\": \"chicory seed\"},\n {\"box_2d\": [318, 535, 339, 579], \"label\": \"chicory seed\"},\n {\"box_2d\": [327, 499, 348, 544], \"label\": \"chicory seed\"},\n {\"box_2d\": [338, 538, 369, 583], \"label\": \"chicory seed\"},\n {\"box_2d\": [319, 444, 361, 466], \"label\": \"chicory seed\"},\n {\"box_2d\": [320, 465, 361, 493], \"label\": \"chicory seed\"},\n {\"box_2d\": [339, 490, 379, 513], \"label\": \"chicory seed\"},\n {\"box_2d\": [299, 612, 339, 640], \"label\": \"chicory seed\"},\n {\"box_2d\": [337, 614, 370, 650], \"label\": \"chicory seed\"},\n {\"box_2d\": [312, 698, 347, 736], \"label\": \"chicory seed\"},\n {\"box_2d\": [324, 719, 358, 753], \"label\": \"chicory seed\"},\n {\"box_2d\": [319, 754, 339, 797], \"label\": \"chicory seed\"},\n {\"box_2d\": [333, 794, 358, 835], \"label\": \"chicory seed\"},\n {\"box_2d\": [354, 819, 390, 853], \"label\": \"chicory seed\"},\n {\"box_2d\": [363, 801, 403, 823], \"label\": \"chicory seed\"},\n {\"box_2d\": [363, 730, 385, 773], \"label\": \"chicory seed\"},\n {\"box_2d\": [362, 698, 399, 734], \"label\": \"chicory seed\"},\n {\"box_2d\": [365, 678, 404, 709], \"label\": \"chicory seed\"},\n {\"box_2d\": [373, 614, 400, 658], \"label\": \"chicory seed\"},\n {\"box_2d\": [346, 245, 377, 285], \"label\": \"chicory seed\"},\n {\"box_2d\": [357, 267, 394, 300], \"label\": \"chicory seed\"},\n {\"box_2d\": [374, 276, 408, 311], \"label\": \"chicory seed\"},\n {\"box_2d\": [355, 299, 382, 338], \"label\": \"chicory seed\"},\n {\"box_2d\": [345, 342, 385, 370], \"label\": \"chicory seed\"},\n {\"box_2d\": [347, 365, 382, 397], \"label\": \"chicory seed\"},\n {\"box_2d\": [346, 421, 383, 458], \"label\": \"chicory seed\"},\n {\"box_2d\": [375, 470, 407, 509], \"label\": \"chicory seed\"},\n {\"box_2d\": [372, 381, 394, 419], \"label\": \"chicory seed\"},\n {\"box_2d\": [380, 365, 417, 395], \"label\": \"chicory seed\"},\n {\"box_2d\": [387, 404, 415, 444], \"label\": \"chicory seed\"},\n {\"box_2d\": [394, 290, 433, 321], \"label\": \"chicory seed\"},\n {\"box_2d\": [399, 309, 431, 346], \"label\": \"chicory seed\"},\n {\"box_2d\": [396, 217, 426, 255], \"label\": \"chicory seed\"},\n {\"box_2d\": [401, 254, 436, 290], \"label\": \"chicory seed\"},\n {\"box_2d\": [410, 170, 431, 215], \"label\": \"chicory seed\"},\n {\"box_2d\": [429, 172, 450, 210], \"label\": \"chicory seed\"},\n {\"box_2d\": [414, 218, 442, 260], \"label\": \"chicory seed\"},\n {\"box_2d\": [432, 230, 461, 270], \"label\": \"chicory seed\"},\n {\"box_2d\": [445, 187, 477, 226], \"label\": \"chicory seed\"},\n {\"box_2d\": [466, 195, 490, 236], \"label\": \"chicory seed\"},\n {\"box_2d\": [430, 282, 459, 323], \"label\": \"chicory seed\"},\n {\"box_2d\": [413, 337, 446, 375], \"label\": \"chicory seed\"},\n {\"box_2d\": [427, 364, 464, 388], \"label\": \"chicory seed\"},\n {\"box_2d\": [416, 393, 454, 418], \"label\": \"chicory seed\"},\n {\"box_2d\": [406, 417, 445, 446], \"label\": \"chicory seed\"},\n {\"box_2d\": [407, 436, 446, 468], \"label\": \"chicory seed\"},\n {\"box_2d\": [443, 424, 476, 461], \"label\": \"chicory seed\"},\n {\"box_2d\": [431, 478, 454, 521], \"label\": \"chicory seed\"},\n {\"box_2d\": [456, 463, 475, 504], \"label\": \"chicory seed\"},\n {\"box_2d\": [440, 500, 480, 529], \"label\": \"chicory seed\"},\n {\"box_2d\": [394, 531, 435, 558], \"label\": \"chicory seed\"},\n {\"box_2d\": [433, 521, 471, 555], \"label\": \"chicory seed\"},\n {\"box_2d\": [413, 555, 454, 578], \"label\": \"chicory seed\"},\n {\"box_2d\": [410, 574, 451, 595], \"label\": \"chicory seed\"},\n {\"box_2d\": [426, 594, 465, 621], \"label\": \"chicory seed\"},\n {\"box_2d\": [413, 611, 438, 654], \"label\": \"chicory seed\"},\n {\"box_2d\": [398, 654, 420, 697], \"label\": \"chicory seed\"},\n {\"box_2d\": [424, 650, 464, 677], \"label\": \"chicory seed\"},\n {\"box_2d\": [427, 678, 462, 710], \"label\": \"chicory seed\"},\n {\"box_2d\": [415, 687, 446, 722], \"label\": \"chicory seed\"},\n {\"box_2d\": [405, 720, 427, 763], \"label\": \"chicory seed\"},\n {\"box_2d\": [396, 767, 430, 804], \"label\": \"chicory seed\"},\n {\"box_2d\": [420, 751, 444, 792], \"label\": \"chicory seed\"},\n {\"box_2d\": [432, 744, 462, 783], \"label\": \"chicory seed\"},\n {\"box_2d\": [413, 830, 452, 865], \"label\": \"chicory seed\"},\n {\"box_2d\": [445, 856, 485, 882], \"label\": \"chicory seed\"},\n {\"box_2d\": [477, 163, 518, 182], \"label\": \"chicory seed\"},\n {\"box_2d\": [528, 173, 561, 212], \"label\": \"chicory seed\"},\n {\"box_2d\": [455, 236, 493, 265], \"label\": \"chicory seed\"},\n {\"box_2d\": [451, 264, 494, 286], \"label\": \"chicory seed\"},\n {\"box_2d\": [486, 228, 517, 267], \"label\": \"chicory seed\"},\n {\"box_2d\": [509, 229, 540, 266], \"label\": \"chicory seed\"},\n {\"box_2d\": [448, 298, 481, 336], \"label\": \"chicory seed\"},\n {\"box_2d\": [469, 300, 501, 338], \"label\": \"chicory seed\"},\n {\"box_2d\": [481, 315, 510, 357], \"label\": \"chicory seed\"},\n {\"box_2d\": [500, 273, 520, 314], \"label\": \"chicory seed\"},\n {\"box_2d\": [509, 264, 542, 303], \"label\": \"chicory seed\"},\n {\"box_2d\": [533, 245, 566, 286], \"label\": \"chicory seed\"},\n {\"box_2d\": [561, 211, 590, 252], \"label\": \"chicory seed\"},\n {\"box_2d\": [575, 256, 604, 294], \"label\": \"chicory seed\"},\n {\"box_2d\": [553, 285, 593, 314], \"label\": \"chicory seed\"},\n {\"box_2d\": [525, 302, 567, 325], \"label\": \"chicory seed\"},\n {\"box_2d\": [532, 319, 573, 350], \"label\": \"chicory seed\"},\n {\"box_2d\": [513, 329, 550, 356], \"label\": \"chicory seed\"},\n {\"box_2d\": [510, 342, 548, 377], \"label\": \"chicory seed\"},\n {\"box_2d\": [507, 366, 542, 403], \"label\": \"chicory seed\"},\n {\"box_2d\": [471, 364, 490, 407], \"label\": \"chicory seed\"},\n {\"box_2d\": [488, 363, 508, 406], \"label\": \"chicory seed\"},\n {\"box_2d\": [467, 404, 505, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [501, 392, 528, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [523, 402, 544, 444], \"label\": \"chicory seed\"},\n {\"box_2d\": [497, 424, 530, 463], \"label\": \"chicory seed\"},\n {\"box_2d\": [471, 441, 496, 480], \"label\": \"chicory seed\"},\n {\"box_2d\": [489, 463, 530, 488], \"label\": \"chicory seed\"},\n {\"box_2d\": [491, 482, 530, 506], \"label\": \"chicory seed\"},\n {\"box_2d\": [470, 513, 512, 536], \"label\": \"chicory seed\"},\n {\"box_2d\": [513, 499, 532, 541], \"label\": \"chicory seed\"},\n {\"box_2d\": [451, 536, 490, 569], \"label\": \"chicory seed\"},\n {\"box_2d\": [456, 556, 494, 587], \"label\": \"chicory seed\"},\n {\"box_2d\": [470, 566, 507, 604], \"label\": \"chicory seed\"},\n {\"box_2d\": [499, 537, 523, 579], \"label\": \"chicory seed\"},\n {\"box_2d\": [476, 593, 508, 635], \"label\": \"chicory seed\"},\n {\"box_2d\": [445, 638, 487, 661], \"label\": \"chicory seed\"},\n {\"box_2d\": [485, 657, 526, 683], \"label\": \"chicory seed\"},\n {\"box_2d\": [463, 676, 485, 720], \"label\": \"chicory seed\"},\n {\"box_2d\": [493, 681, 525, 720], \"label\": \"chicory seed\"},\n {\"box_2d\": [462, 722, 484, 763], \"label\": \"chicory seed\"},\n {\"box_2d\": [480, 714, 502, 756], \"label\": \"chicory seed\"},\n {\"box_2d\": [464, 755, 504, 780], \"label\": \"chicory seed\"},\n {\"box_2d\": [502, 727, 530, 768], \"label\": \"chicory seed\"},\n {\"box_2d\": [516, 718, 552, 758], \"label\": \"chicory seed\"},\n {\"box_2d\": [491, 763, 524, 801], \"label\": \"chicory seed\"},\n {\"box_2d\": [466, 797, 493, 840], \"label\": \"chicory seed\"},\n {\"box_2d\": [485, 797, 511, 839], \"label\": \"chicory seed\"},\n {\"box_2d\": [511, 792, 532, 836], \"label\": \"chicory seed\"},\n {\"box_2d\": [531, 763, 553, 806], \"label\": \"chicory seed\"},\n {\"box_2d\": [513, 857, 554, 878], \"label\": \"chicory seed\"},\n {\"box_2d\": [533, 811, 565, 850], \"label\": \"chicory seed\"},\n {\"box_2d\": [551, 783, 586, 821], \"label\": \"chicory seed\"},\n {\"box_2d\": [574, 845, 613, 868], \"label\": \"chicory seed\"},\n {\"box_2d\": [543, 366, 564, 409], \"label\": \"chicory seed\"},\n {\"box_2d\": [543, 347, 581, 374], \"label\": \"chicory seed\"},\n {\"box_2d\": [556, 406, 592, 444], \"label\": \"chicory seed\"},\n {\"box_2d\": [546, 428, 567, 472], \"label\": \"chicory seed\"},\n {\"box_2d\": [531, 500, 576, 523], \"label\": \"chicory seed\"},\n {\"box_2d\": [520, 544, 555, 582], \"label\": \"chicory seed\"},\n {\"box_2d\": [508, 578, 550, 601], \"label\": \"chicory seed\"},\n {\"box_2d\": [506, 603, 546, 625], \"label\": \"chicory seed\"},\n {\"box_2d\": [527, 622, 549, 665], \"label\": \"chicory seed\"},\n {\"box_2d\": [526, 665, 555, 706], \"label\": \"chicory seed\"},\n {\"box_2d\": [526, 704, 566, 738], \"label\": \"chicory seed\"},\n {\"box_2d\": [550, 670, 575, 713], \"label\": \"chicory seed\"},\n {\"box_2d\": [546, 476, 585, 504], \"label\": \"chicory seed\"},\n {\"box_2d\": [558, 466, 601, 492], \"label\": \"chicory seed\"},\n {\"box_2d\": [552, 525, 592, 558], \"label\": \"chicory seed\"},\n {\"box_2d\": [537, 535, 573, 572], \"label\": \"chicory seed\"},\n {\"box_2d\": [546, 575, 573, 618], \"label\": \"chicory seed\"},\n {\"box_2d\": [566, 581, 589, 624], \"label\": \"chicory seed\"},\n {\"box_2d\": [562, 623, 589, 667], \"label\": \"chicory seed\"},\n {\"box_2d\": [575, 319, 593, 363], \"label\": \"chicory seed\"},\n {\"box_2d\": [588, 311, 610, 354], \"label\": \"chicory seed\"},\n {\"box_2d\": [568, 371, 594, 412], \"label\": \"chicory seed\"},\n {\"box_2d\": [579, 364, 615, 404], \"label\": \"chicory seed\"},\n {\"box_2d\": [585, 403, 615, 443], \"label\": \"chicory seed\"},\n {\"box_2d\": [579, 444, 618, 467], \"label\": \"chicory seed\"},\n {\"box_2d\": [578, 496, 599, 539], \"label\": \"chicory seed\"},\n {\"box_2d\": [594, 525, 621, 568], \"label\": \"chicory seed\"},\n {\"box_2d\": [572, 559, 610, 591], \"label\": \"chicory seed\"},\n {\"box_2d\": [590, 590, 625, 630], \"label\": \"chicory seed\"},\n {\"box_2d\": [583, 619, 618, 659], \"label\": \"chicory seed\"},\n {\"box_2d\": [582, 659, 623, 684], \"label\": \"chicory seed\"},\n {\"box_2d\": [584, 676, 625, 708], \"label\": \"chicory seed\"},\n {\"box_2d\": [574, 687, 613, 720], \"label\": \"chicory seed\"},\n {\"box_2d\": [565, 711, 607, 735], \"label\": \"chicory seed\"},\n {\"box_2d\": [567, 735, 608, 759], \"label\": \"chicory seed\"},\n {\"box_2d\": [566, 756, 593, 798], \"label\": \"chicory seed\"},\n {\"box_2d\": [588, 757, 618, 799], \"label\": \"chicory seed\"},\n {\"box_2d\": [591, 802, 625, 842], \"label\": \"chicory seed\"},\n {\"box_2d\": [608, 258, 641, 294], \"label\": \"chicory seed\"},\n {\"box_2d\": [616, 297, 658, 320], \"label\": \"chicory seed\"},\n {\"box_2d\": [604, 308, 639, 348], \"label\": \"chicory seed\"},\n {\"box_2d\": [592, 353, 635, 374], \"label\": \"chicory seed\"},\n {\"box_2d\": [612, 368, 652, 392], \"label\": \"chicory seed\"},\n {\"box_2d\": [607, 391, 630, 433], \"label\": \"chicory seed\"},\n {\"box_2d\": [615, 409, 646, 451], \"label\": \"chicory seed\"},\n {\"box_2d\": [601, 452, 628, 495], \"label\": \"chicory seed\"},\n {\"box_2d\": [595, 489, 617, 525], \"label\": \"chicory seed\"},\n {\"box_2d\": [614, 488, 646, 528], \"label\": \"chicory seed\"},\n {\"box_2d\": [616, 525, 646, 569], \"label\": \"chicory seed\"},\n {\"box_2d\": [631, 545, 663, 587], \"label\": \"chicory seed\"},\n {\"box_2d\": [622, 590, 643, 634], \"label\": \"chicory seed\"},\n {\"box_2d\": [601, 645, 642, 666], \"label\": \"chicory seed\"},\n {\"box_2d\": [622, 661, 663, 686], \"label\": \"chicory seed\"},\n {\"box_2d\": [609, 711, 631, 754], \"label\": \"chicory seed\"},\n {\"box_2d\": [626, 717, 647, 761], \"label\": \"chicory seed\"},\n {\"box_2d\": [614, 758, 635, 800], \"label\": \"chicory seed\"},\n {\"box_2d\": [631, 793, 655, 837], \"label\": \"chicory seed\"},\n {\"box_2d\": [636, 761, 672, 798], \"label\": \"chicory seed\"},\n {\"box_2d\": [645, 713, 666, 758], \"label\": \"chicory seed\"},\n {\"box_2d\": [661, 718, 693, 761], \"label\": \"chicory seed\"},\n {\"box_2d\": [641, 217, 683, 240], \"label\": \"chicory seed\"},\n {\"box_2d\": [640, 315, 676, 353], \"label\": \"chicory seed\"},\n {\"box_2d\": [647, 338, 682, 378], \"label\": \"chicory seed\"},\n {\"box_2d\": [629, 377, 669, 406], \"label\": \"chicory seed\"},\n {\"box_2d\": [667, 349, 702, 387], \"label\": \"chicory seed\"},\n {\"box_2d\": [653, 386, 695, 410], \"label\": \"chicory seed\"},\n {\"box_2d\": [650, 412, 692, 436], \"label\": \"chicory seed\"},\n {\"box_2d\": [658, 426, 699, 452], \"label\": \"chicory seed\"},\n {\"box_2d\": [626, 435, 661, 474], \"label\": \"chicory seed\"},\n {\"box_2d\": [623, 460, 664, 490], \"label\": \"chicory seed\"},\n {\"box_2d\": [635, 477, 678, 501], \"label\": \"chicory seed\"},\n {\"box_2d\": [642, 498, 683, 521], \"label\": \"chicory seed\"},\n {\"box_2d\": [654, 514, 696, 546], \"label\": \"chicory seed\"},\n {\"box_2d\": [668, 453, 703, 491], \"label\": \"chicory seed\"},\n {\"box_2d\": [681, 494, 720, 519], \"label\": \"chicory seed\"},\n {\"box_2d\": [644, 572, 678, 610], \"label\": \"chicory seed\"},\n {\"box_2d\": [664, 560, 693, 603], \"label\": \"chicory seed\"},\n {\"box_2d\": [689, 542, 710, 589], \"label\": \"chicory seed\"},\n {\"box_2d\": [640, 611, 671, 651], \"label\": \"chicory seed\"},\n {\"box_2d\": [647, 634, 677, 674], \"label\": \"chicory seed\"},\n {\"box_2d\": [641, 678, 682, 702], \"label\": \"chicory seed\"},\n {\"box_2d\": [672, 641, 707, 681], \"label\": \"chicory seed\"},\n {\"box_2d\": [681, 700, 705, 743], \"label\": \"chicory seed\"},\n {\"box_2d\": [695, 679, 716, 722], \"label\": \"chicory seed\"},\n {\"box_2d\": [683, 608, 721, 643], \"label\": \"chicory seed\"},\n {\"box_2d\": [679, 789, 720, 817], \"label\": \"chicory seed\"},\n {\"box_2d\": [700, 717, 728, 759], \"label\": \"chicory seed\"},\n {\"box_2d\": [683, 291, 709, 330], \"label\": \"chicory seed\"},\n {\"box_2d\": [695, 234, 728, 272], \"label\": \"chicory seed\"},\n {\"box_2d\": [702, 273, 742, 296], \"label\": \"chicory seed\"},\n {\"box_2d\": [707, 315, 749, 338], \"label\": \"chicory seed\"},\n {\"box_2d\": [725, 289, 765, 314], \"label\": \"chicory seed\"},\n {\"box_2d\": [739, 253, 773, 292], \"label\": \"chicory seed\"},\n {\"box_2d\": [763, 287, 782, 331], \"label\": \"chicory seed\"},\n {\"box_2d\": [726, 336, 746, 376], \"label\": \"chicory seed\"},\n {\"box_2d\": [769, 316, 806, 349], \"label\": \"chicory seed\"},\n {\"box_2d\": [733, 387, 774, 408], \"label\": \"chicory seed\"},\n {\"box_2d\": [763, 360, 787, 402], \"label\": \"chicory seed\"},\n {\"box_2d\": [796, 362, 815, 401], \"label\": \"chicory seed\"},\n {\"box_2d\": [811, 358, 837, 400], \"label\": \"chicory seed\"},\n {\"box_2d\": [775, 405, 818, 430], \"label\": \"chicory seed\"},\n {\"box_2d\": [719, 414, 740, 454], \"label\": \"chicory seed\"},\n {\"box_2d\": [709, 461, 750, 491], \"label\": \"chicory seed\"},\n {\"box_2d\": [716, 489, 744, 531], \"label\": \"chicory seed\"},\n {\"box_2d\": [700, 515, 741, 545], \"label\": \"chicory seed\"},\n {\"box_2d\": [745, 448, 773, 490], \"label\": \"chicory seed\"},\n {\"box_2d\": [741, 488, 761, 529], \"label\": \"chicory seed\"},\n {\"box_2d\": [758, 482, 787, 524], \"label\": \"chicory seed\"},\n {\"box_2d\": [776, 441, 818, 462], \"label\": \"chicory seed\"},\n {\"box_2d\": [768, 458, 811, 485], \"label\": \"chicory seed\"},\n {\"box_2d\": [790, 488, 830, 516], \"label\": \"chicory seed\"},\n {\"box_2d\": [737, 539, 778, 560], \"label\": \"chicory seed\"},\n {\"box_2d\": [785, 518, 813, 560], \"label\": \"chicory seed\"},\n {\"box_2d\": [814, 535, 834, 583], \"label\": \"chicory seed\"},\n {\"box_2d\": [711, 562, 751, 598], \"label\": \"chicory seed\"},\n {\"box_2d\": [720, 581, 755, 625], \"label\": \"chicory seed\"},\n {\"box_2d\": [751, 594, 785, 628], \"label\": \"chicory seed\"},\n {\"box_2d\": [771, 608, 809, 633], \"label\": \"chicory seed\"},\n {\"box_2d\": [794, 637, 833, 659], \"label\": \"chicory seed\"},\n {\"box_2d\": [759, 634, 796, 669], \"label\": \"chicory seed\"},\n {\"box_2d\": [744, 645, 772, 686], \"label\": \"chicory seed\"},\n {\"box_2d\": [723, 663, 744, 706], \"label\": \"chicory seed\"},\n {\"box_2d\": [737, 692, 758, 738], \"label\": \"chicory seed\"},\n {\"box_2d\": [723, 735, 768, 756], \"label\": \"chicory seed\"},\n {\"box_2d\": [775, 672, 800, 714], \"label\": \"chicory seed\"},\n {\"box_2d\": [795, 656, 818, 700], \"label\": \"chicory seed\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 18267, "elapsed_seconds": 118.65783904097043, "metadata": {"match_method": "map", "num_predictions": 300, "num_ground_truth": 299, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3366336524486542, "attempts": 1, "retries": 0, "total_seconds": 118.7899}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 219, "image": "66_png.rf.39bf6d177f61078e6d35cc7449f636fc.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [32, 260, 95, 309], \"label\": \"not gate symbol\"},\n {\"box_2d\": [250, 108, 322, 153], \"label\": \"not gate symbol\"},\n {\"box_2d\": [250, 161, 322, 205], \"label\": \"not gate symbol\"},\n {\"box_2d\": [411, 503, 483, 547], \"label\": \"not gate symbol\"},\n {\"box_2d\": [658, 260, 720, 309], \"label\": \"not gate symbol\"},\n {\"box_2d\": [905, 260, 968, 309], \"label\": \"not gate symbol\"},\n {\"box_2d\": [156, 252, 237, 331], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [175, 567, 256, 647], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [327, 252, 409, 332], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [478, 567, 560, 647], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [554, 777, 636, 856], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [630, 567, 712, 647], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [782, 567, 864, 647], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [801, 777, 883, 857], \"label\": \"nand gate symbol\"}\n]\n```", "correct": true, "input_tokens": 1222, "output_tokens": 1354, "elapsed_seconds": 12.869998916983604, "metadata": {"match_method": "map", "num_predictions": 14, "num_ground_truth": 14, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 12.8768}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 220, "image": "car-part-detection_Car-damages-1497_png_jpg.rf.e852cda680508c1a167266952897c9ec.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [259, 116, 406, 206], \"label\": \"back windshield\"},\n {\"box_2d\": [427, 97, 545, 165], \"label\": \"tail light\"},\n {\"box_2d\": [540, 81, 755, 179], \"label\": \"back bumper\"},\n {\"box_2d\": [248, 250, 425, 478], \"label\": \"back window\"},\n {\"box_2d\": [244, 231, 732, 504], \"label\": \"back door\"},\n {\"box_2d\": [252, 506, 464, 749], \"label\": \"front window\"},\n {\"box_2d\": [246, 486, 728, 783], \"label\": \"front door\"},\n {\"box_2d\": [400, 735, 463, 767], \"label\": \"mirror\"},\n {\"box_2d\": [258, 633, 421, 853], \"label\": \"windshield\"},\n {\"box_2d\": [387, 825, 475, 950], \"label\": \"hood\"},\n {\"box_2d\": [450, 898, 540, 977], \"label\": \"headlight\"},\n {\"box_2d\": [525, 931, 743, 991], \"label\": \"front bumper\"}\n]\n```", "correct": true, "input_tokens": 1232, "output_tokens": 1311, "elapsed_seconds": 12.777484667021781, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 14, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8754124641418457, "attempts": 1, "retries": 0, "total_seconds": 12.7956}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 221, "image": "51_jpg.rf.058febb668fb3dcd1ddaf96ac46d336e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [60, 193, 383, 245], \"label\": \"blood sample tube\"},\n {\"box_2d\": [46, 281, 165, 518], \"label\": \"blood sample tube\"},\n {\"box_2d\": [149, 232, 396, 425], \"label\": \"blood sample tube\"},\n {\"box_2d\": [270, 283, 571, 405], \"label\": \"blood sample tube\"},\n {\"box_2d\": [350, 198, 635, 338], \"label\": \"blood sample tube\"},\n {\"box_2d\": [42, 468, 108, 709], \"label\": \"blood sample tube\"},\n {\"box_2d\": [37, 712, 102, 954], \"label\": \"blood sample tube\"},\n {\"box_2d\": [87, 662, 158, 916], \"label\": \"blood sample tube\"},\n {\"box_2d\": [103, 520, 224, 761], \"label\": \"blood sample tube\"},\n {\"box_2d\": [167, 570, 300, 811], \"label\": \"blood sample tube\"},\n {\"box_2d\": [167, 431, 319, 659], \"label\": \"blood sample tube\"},\n {\"box_2d\": [116, 775, 380, 959], \"label\": \"blood sample tube\"},\n {\"box_2d\": [182, 859, 497, 969], \"label\": \"blood sample tube\"},\n {\"box_2d\": [278, 654, 572, 812], \"label\": \"blood sample tube\"},\n {\"box_2d\": [380, 471, 658, 640], \"label\": \"blood sample tube\"},\n {\"box_2d\": [484, 613, 668, 851], \"label\": \"blood sample tube\"},\n {\"box_2d\": [583, 643, 756, 886], \"label\": \"blood sample tube\"},\n {\"box_2d\": [522, 326, 634, 567], \"label\": \"blood sample tube\"},\n {\"box_2d\": [584, 333, 697, 571], \"label\": \"blood sample tube\"},\n {\"box_2d\": [658, 196, 760, 441], \"label\": \"blood sample tube\"},\n {\"box_2d\": [686, 412, 758, 656], \"label\": \"blood sample tube\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 2529, "elapsed_seconds": 22.54840458300896, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 21, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 22.5768}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 222, "image": "161056d_JPG_jpg.rf.9a7d680b73d40b7f57e4788c75d35faa.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [258, 395, 360, 530], \"label\": \"cracked insulator\"},\n {\"box_2d\": [467, 392, 565, 521], \"label\": \"cracked insulator\"}\n]\n```", "correct": false, "input_tokens": 1217, "output_tokens": 4429, "elapsed_seconds": 60.447355333017185, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5049505233764648, "attempts": 1, "retries": 0, "total_seconds": 61.0298}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 223, "image": "signatures_image_176_png_jpg.rf.ba5b095c7ba79857b44be19e553b8621.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [528, 184, 581, 261], \"label\": \"signature\"},\n {\"box_2d\": [577, 184, 612, 220], \"label\": \"signature\"},\n {\"box_2d\": [562, 452, 597, 487], \"label\": \"signature\"},\n {\"box_2d\": [551, 656, 591, 717], \"label\": \"signature\"},\n {\"box_2d\": [591, 805, 634, 896], \"label\": \"signature\"}\n]\n```", "correct": true, "input_tokens": 1228, "output_tokens": 635, "elapsed_seconds": 11.830266666016541, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 12.0013}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 224, "image": "floorplan-windows-doors_10363_png.rf.022a393bcce41347db46c0ae8f821ac1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [108, 81, 193, 100], \"label\": \"window\"},\n {\"box_2d\": [328, 81, 358, 101], \"label\": \"window\"},\n {\"box_2d\": [173, 247, 228, 308], \"label\": \"door\"},\n {\"box_2d\": [205, 310, 244, 358], \"label\": \"door\"},\n {\"box_2d\": [167, 442, 222, 502], \"label\": \"door\"},\n {\"box_2d\": [246, 386, 293, 440], \"label\": \"door\"},\n {\"box_2d\": [258, 527, 305, 586], \"label\": \"door\"},\n {\"box_2d\": [128, 691, 168, 710], \"label\": \"window\"},\n {\"box_2d\": [168, 637, 223, 763], \"label\": \"door\"},\n {\"box_2d\": [283, 686, 319, 708], \"label\": \"window\"},\n {\"box_2d\": [458, 77, 590, 96], \"label\": \"window\"},\n {\"box_2d\": [600, 311, 642, 360], \"label\": \"door\"},\n {\"box_2d\": [642, 368, 701, 439], \"label\": \"door\"},\n {\"box_2d\": [729, 367, 787, 422], \"label\": \"door\"},\n {\"box_2d\": [484, 691, 534, 711], \"label\": \"window\"},\n {\"box_2d\": [534, 635, 590, 709], \"label\": \"door\"},\n {\"box_2d\": [590, 691, 672, 712], \"label\": \"window\"}\n]\n```", "correct": true, "input_tokens": 1223, "output_tokens": 2842, "elapsed_seconds": 29.12369787506759, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 19, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8678217530250549, "attempts": 1, "retries": 0, "total_seconds": 29.1653}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 225, "image": "paper-parts_194472_30_jpg.rf.b0a602d4dcc7284ce0bac985bedfd7a6.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [93, 176, 213, 882], \"label\": \"paragraph\"},\n {\"box_2d\": [232, 176, 248, 417], \"label\": \"paragraph\"},\n {\"box_2d\": [267, 176, 352, 882], \"label\": \"paragraph\"},\n {\"box_2d\": [380, 420, 529, 699], \"label\": \"figure\"},\n {\"box_2d\": [551, 446, 567, 671], \"label\": \"figure caption\"},\n {\"box_2d\": [586, 235, 621, 683], \"label\": \"paragraph\"},\n {\"box_2d\": [629, 402, 661, 654], \"label\": \"equation\"},\n {\"box_2d\": [669, 453, 695, 604], \"label\": \"equation\"},\n {\"box_2d\": [703, 456, 738, 882], \"label\": \"equation\"},\n {\"box_2d\": [747, 176, 798, 882], \"label\": \"paragraph\"},\n {\"box_2d\": [817, 235, 859, 646], \"label\": \"paragraph\"},\n {\"box_2d\": [867, 389, 883, 667], \"label\": \"equation\"},\n {\"box_2d\": [885, 520, 900, 538], \"label\": \"page number\"}\n]\n```", "correct": false, "input_tokens": 1248, "output_tokens": 4028, "elapsed_seconds": 44.09372354100924, "metadata": {"match_method": "map", "num_predictions": 13, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6465345621109009, "attempts": 2, "retries": 1, "total_seconds": 106.5822, "transient_errors": ["RemoteProtocolError"]}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 226, "image": "IMG_6641_jpeg_jpg.rf.d4a1ba083ff18ae1c9807cc69a86b03e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [569, 4, 598, 198], \"label\": \"blue poker chip\"},\n {\"box_2d\": [592, 4, 616, 195], \"label\": \"blue poker chip\"},\n {\"box_2d\": [609, 3, 633, 195], \"label\": \"blue poker chip\"},\n {\"box_2d\": [626, 2, 652, 194], \"label\": \"blue poker chip\"},\n {\"box_2d\": [643, 1, 669, 194], \"label\": \"blue poker chip\"},\n {\"box_2d\": [659, 1, 688, 194], \"label\": \"blue poker chip\"},\n {\"box_2d\": [675, 1, 706, 194], \"label\": \"blue poker chip\"},\n {\"box_2d\": [513, 198, 533, 379], \"label\": \"green poker chip\"},\n {\"box_2d\": [530, 197, 549, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [546, 197, 566, 379], \"label\": \"green poker chip\"},\n {\"box_2d\": [563, 196, 584, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [579, 196, 601, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [595, 196, 618, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [611, 195, 636, 377], \"label\": \"green poker chip\"},\n {\"box_2d\": [627, 195, 654, 377], \"label\": \"green poker chip\"},\n {\"box_2d\": [643, 195, 672, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [660, 195, 690, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [677, 195, 709, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [428, 384, 450, 561], \"label\": \"red poker chip\"},\n {\"box_2d\": [446, 384, 467, 562], \"label\": \"red poker chip\"},\n {\"box_2d\": [463, 384, 483, 562], \"label\": \"red poker chip\"},\n {\"box_2d\": [480, 384, 499, 563], \"label\": \"red poker chip\"},\n {\"box_2d\": [497, 384, 516, 564], \"label\": \"red poker chip\"},\n {\"box_2d\": [514, 384, 533, 564], \"label\": \"red poker chip\"},\n {\"box_2d\": [531, 384, 550, 564], \"label\": \"red poker chip\"},\n {\"box_2d\": [547, 384, 566, 565], \"label\": \"red poker chip\"},\n {\"box_2d\": [563, 385, 584, 565], \"label\": \"red poker chip\"},\n {\"box_2d\": [579, 385, 601, 565], \"label\": \"red poker chip\"},\n {\"box_2d\": [595, 385, 619, 565], \"label\": \"red poker chip\"},\n {\"box_2d\": [611, 386, 636, 565], \"label\": \"red poker chip\"},\n {\"box_2d\": [627, 386, 654, 566], \"label\": \"red poker chip\"},\n {\"box_2d\": [643, 385, 672, 566], \"label\": \"red poker chip\"},\n {\"box_2d\": [659, 386, 690, 567], \"label\": \"red poker chip\"},\n {\"box_2d\": [675, 386, 708, 568], \"label\": \"red poker chip\"},\n {\"box_2d\": [552, 569, 576, 758], \"label\": \"white poker chip\"},\n {\"box_2d\": [572, 569, 593, 758], \"label\": \"white poker chip\"},\n {\"box_2d\": [588, 570, 610, 759], \"label\": \"white poker chip\"},\n {\"box_2d\": [604, 571, 628, 760], \"label\": \"white poker chip\"},\n {\"box_2d\": [621, 572, 646, 760], \"label\": \"white poker chip\"},\n {\"box_2d\": [638, 573, 665, 761], \"label\": \"white poker chip\"},\n {\"box_2d\": [654, 573, 683, 762], \"label\": \"white poker chip\"},\n {\"box_2d\": [670, 573, 702, 762], \"label\": \"white poker chip\"},\n {\"box_2d\": [555, 755, 615, 958], \"label\": \"orange poker chip\"},\n {\"box_2d\": [590, 758, 635, 959], \"label\": \"orange poker chip\"},\n {\"box_2d\": [608, 758, 652, 959], \"label\": \"orange poker chip\"},\n {\"box_2d\": [625, 759, 670, 961], \"label\": \"orange poker chip\"},\n {\"box_2d\": [642, 759, 689, 962], \"label\": \"orange poker chip\"},\n {\"box_2d\": [659, 761, 707, 963], \"label\": \"orange poker chip\"},\n {\"box_2d\": [675, 762, 726, 964], \"label\": \"orange poker chip\"}\n]\n```", "correct": true, "input_tokens": 1243, "output_tokens": 3756, "elapsed_seconds": 29.38261816697195, "metadata": {"match_method": "map", "num_predictions": 49, "num_ground_truth": 49, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 29.4009}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 227, "image": "69_jpg.rf.832734e487772068d6b9bf469788de8f.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [348, 281, 412, 517], \"label\": \"blood sample tube\"},\n {\"box_2d\": [80, 588, 403, 636], \"label\": \"blood sample tube\"},\n {\"box_2d\": [17, 636, 323, 748], \"label\": \"blood sample tube\"},\n {\"box_2d\": [438, 494, 520, 734], \"label\": \"blood sample tube\"},\n {\"box_2d\": [534, 480, 745, 700], \"label\": \"blood sample tube\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 568, "elapsed_seconds": 6.517766334000044, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 6.5318}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 228, "image": "uav20221018_ixfZ_3857_431_png.rf.d4d8056faccd6284b96584515af21de0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 240, 35, 287], \"label\": \"banana tree\"},\n {\"box_2d\": [31, 179, 86, 227], \"label\": \"banana tree\"},\n {\"box_2d\": [70, 248, 107, 281], \"label\": \"banana tree\"},\n {\"box_2d\": [2, 429, 47, 475], \"label\": \"banana tree\"},\n {\"box_2d\": [33, 491, 86, 534], \"label\": \"banana tree\"},\n {\"box_2d\": [70, 423, 118, 481], \"label\": \"banana tree\"},\n {\"box_2d\": [108, 495, 146, 530], \"label\": \"banana tree\"},\n {\"box_2d\": [138, 434, 183, 483], \"label\": \"banana tree\"},\n {\"box_2d\": [174, 492, 216, 538], \"label\": \"banana tree\"},\n {\"box_2d\": [208, 438, 254, 488], \"label\": \"banana tree\"},\n {\"box_2d\": [242, 490, 289, 533], \"label\": \"banana tree\"},\n {\"box_2d\": [0, 708, 33, 750], \"label\": \"banana tree\"},\n {\"box_2d\": [18, 661, 61, 700], \"label\": \"banana tree\"},\n {\"box_2d\": [51, 712, 100, 757], \"label\": \"banana tree\"},\n {\"box_2d\": [87, 659, 132, 703], \"label\": \"banana tree\"},\n {\"box_2d\": [120, 717, 167, 764], \"label\": \"banana tree\"},\n {\"box_2d\": [161, 668, 203, 703], \"label\": \"banana tree\"},\n {\"box_2d\": [194, 717, 237, 756], \"label\": \"banana tree\"},\n {\"box_2d\": [230, 672, 272, 707], \"label\": \"banana tree\"},\n {\"box_2d\": [264, 720, 304, 757], \"label\": \"banana tree\"},\n {\"box_2d\": [300, 673, 345, 709], \"label\": \"banana tree\"},\n {\"box_2d\": [331, 724, 376, 764], \"label\": \"banana tree\"},\n {\"box_2d\": [372, 674, 412, 707], \"label\": \"banana tree\"},\n {\"box_2d\": [0, 965, 38, 999], \"label\": \"banana tree\"},\n {\"box_2d\": [36, 905, 76, 938], \"label\": \"banana tree\"},\n {\"box_2d\": [64, 960, 112, 999], \"label\": \"banana tree\"},\n {\"box_2d\": [107, 901, 152, 943], \"label\": \"banana tree\"},\n {\"box_2d\": [134, 954, 182, 999], \"label\": \"banana tree\"},\n {\"box_2d\": [178, 914, 218, 955], \"label\": \"banana tree\"},\n {\"box_2d\": [207, 960, 258, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [250, 922, 290, 955], \"label\": \"banana tree\"},\n {\"box_2d\": [275, 967, 323, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [318, 925, 362, 964], \"label\": \"banana tree\"},\n {\"box_2d\": [350, 974, 392, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [387, 934, 433, 968], \"label\": \"banana tree\"},\n {\"box_2d\": [419, 982, 461, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [457, 936, 499, 975], \"label\": \"banana tree\"},\n {\"box_2d\": [489, 986, 530, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [523, 936, 563, 972], \"label\": \"banana tree\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 3261, "elapsed_seconds": 26.077091124956496, "metadata": {"match_method": "map", "num_predictions": 39, "num_ground_truth": 38, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9596756100654602, "attempts": 1, "retries": 0, "total_seconds": 26.1514}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 229, "image": "f39_jpg.rf.8a677bbf5bbbcde071dc3887db6e2b75.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [385, 432, 600, 576], \"label\": \"wildfire\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 1499, "elapsed_seconds": 18.832578708068468, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 18.9158}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 230, "image": "wood-log-detection_003_png_jpg.rf.34aeb3fc6262ec00696c0cc722964b3e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [50, 416, 80, 458], \"label\": \"log cross-section\"},\n {\"box_2d\": [55, 275, 92, 319], \"label\": \"log cross-section\"},\n {\"box_2d\": [75, 353, 106, 394], \"label\": \"log cross-section\"},\n {\"box_2d\": [78, 330, 106, 358], \"label\": \"log cross-section\"},\n {\"box_2d\": [81, 608, 122, 658], \"label\": \"log cross-section\"},\n {\"box_2d\": [84, 247, 117, 291], \"label\": \"log cross-section\"},\n {\"box_2d\": [88, 294, 120, 333], \"label\": \"log cross-section\"},\n {\"box_2d\": [100, 408, 128, 444], \"label\": \"log cross-section\"},\n {\"box_2d\": [102, 334, 138, 381], \"label\": \"log cross-section\"},\n {\"box_2d\": [108, 533, 138, 575], \"label\": \"log cross-section\"},\n {\"box_2d\": [109, 214, 138, 255], \"label\": \"log cross-section\"},\n {\"box_2d\": [109, 577, 147, 623], \"label\": \"log cross-section\"},\n {\"box_2d\": [111, 450, 141, 484], \"label\": \"log cross-section\"},\n {\"box_2d\": [111, 484, 147, 530], \"label\": \"log cross-section\"},\n {\"box_2d\": [119, 261, 150, 303], \"label\": \"log cross-section\"},\n {\"box_2d\": [122, 305, 150, 336], \"label\": \"log cross-section\"},\n {\"box_2d\": [125, 672, 158, 720], \"label\": \"log cross-section\"},\n {\"box_2d\": [128, 173, 158, 222], \"label\": \"log cross-section\"},\n {\"box_2d\": [128, 422, 152, 455], \"label\": \"log cross-section\"},\n {\"box_2d\": [136, 323, 170, 372], \"label\": \"log cross-section\"},\n {\"box_2d\": [136, 377, 169, 412], \"label\": \"log cross-section\"},\n {\"box_2d\": [136, 530, 167, 569], \"label\": \"log cross-section\"},\n {\"box_2d\": [136, 636, 170, 667], \"label\": \"log cross-section\"},\n {\"box_2d\": [138, 225, 175, 273], \"label\": \"log cross-section\"},\n {\"box_2d\": [139, 455, 169, 489], \"label\": \"log cross-section\"},\n {\"box_2d\": [141, 489, 173, 534], \"label\": \"log cross-section\"},\n {\"box_2d\": [142, 597, 178, 645], \"label\": \"log cross-section\"},\n {\"box_2d\": [144, 408, 178, 447], \"label\": \"log cross-section\"},\n {\"box_2d\": [147, 288, 178, 327], \"label\": \"log cross-section\"},\n {\"box_2d\": [161, 255, 194, 294], \"label\": \"log cross-section\"},\n {\"box_2d\": [166, 155, 194, 200], \"label\": \"log cross-section\"},\n {\"box_2d\": [167, 644, 194, 681], \"label\": \"log cross-section\"},\n {\"box_2d\": [169, 203, 202, 252], \"label\": \"log cross-section\"},\n {\"box_2d\": [170, 461, 197, 494], \"label\": \"log cross-section\"},\n {\"box_2d\": [175, 341, 202, 378], \"label\": \"log cross-section\"},\n {\"box_2d\": [177, 430, 203, 467], \"label\": \"log cross-section\"},\n {\"box_2d\": [180, 567, 206, 598], \"label\": \"log cross-section\"},\n {\"box_2d\": [180, 669, 205, 705], \"label\": \"log cross-section\"},\n {\"box_2d\": [181, 395, 208, 431], \"label\": \"log cross-section\"},\n {\"box_2d\": [184, 525, 205, 558], \"label\": \"log cross-section\"},\n {\"box_2d\": [184, 595, 217, 642], \"label\": \"log cross-section\"},\n {\"box_2d\": [188, 158, 220, 209], \"label\": \"log cross-section\"},\n {\"box_2d\": [188, 484, 216, 525], \"label\": \"log cross-section\"},\n {\"box_2d\": [197, 278, 225, 314], \"label\": \"log cross-section\"},\n {\"box_2d\": [197, 659, 223, 694], \"label\": \"log cross-section\"},\n {\"box_2d\": [198, 523, 230, 561], \"label\": \"log cross-section\"},\n {\"box_2d\": [200, 209, 238, 267], \"label\": \"log cross-section\"},\n {\"box_2d\": [200, 309, 241, 359], \"label\": \"log cross-section\"},\n {\"box_2d\": [200, 362, 233, 408], \"label\": \"log cross-section\"},\n {\"box_2d\": [200, 448, 233, 492], \"label\": \"log cross-section\"},\n {\"box_2d\": [203, 412, 231, 450], \"label\": \"log cross-section\"},\n {\"box_2d\": [206, 681, 239, 728], \"label\": \"log cross-section\"},\n {\"box_2d\": [219, 558, 247, 595], \"label\": \"log cross-section\"},\n {\"box_2d\": [222, 398, 248, 436], \"label\": \"log cross-section\"},\n {\"box_2d\": [225, 609, 262, 655], \"label\": \"log cross-section\"},\n {\"box_2d\": [230, 436, 269, 491], \"label\": \"log cross-section\"},\n {\"box_2d\": [231, 178, 259, 219], \"label\": \"log cross-section\"},\n {\"box_2d\": [231, 489, 264, 527], \"label\": \"log cross-section\"},\n {\"box_2d\": [236, 355, 270, 405], \"label\": \"log cross-section\"},\n {\"box_2d\": [241, 680, 273, 722], \"label\": \"log cross-section\"},\n {\"box_2d\": [248, 539, 286, 586], \"label\": \"log cross-section\"},\n {\"box_2d\": [255, 586, 289, 630], \"label\": \"log cross-section\"},\n {\"box_2d\": [259, 636, 295, 683], \"label\": \"log cross-section\"},\n {\"box_2d\": [292, 252, 320, 288], \"label\": \"log cross-section\"},\n {\"box_2d\": [292, 295, 323, 339], \"label\": \"log cross-section\"},\n {\"box_2d\": [300, 411, 330, 455], \"label\": \"log cross-section\"},\n {\"box_2d\": [300, 508, 339, 553], \"label\": \"log cross-section\"},\n {\"box_2d\": [300, 655, 330, 694], \"label\": \"log cross-section\"},\n {\"box_2d\": [302, 209, 333, 253], \"label\": \"log cross-section\"},\n {\"box_2d\": [305, 462, 334, 498], \"label\": \"log cross-section\"},\n {\"box_2d\": [308, 597, 338, 634], \"label\": \"log cross-section\"},\n {\"box_2d\": [309, 344, 339, 383], \"label\": \"log cross-section\"},\n {\"box_2d\": [322, 555, 345, 594], \"label\": \"log cross-section\"},\n {\"box_2d\": [325, 305, 350, 342], \"label\": \"log cross-section\"},\n {\"box_2d\": [327, 373, 350, 422], \"label\": \"log cross-section\"},\n {\"box_2d\": [331, 267, 350, 305], \"label\": \"log cross-section\"},\n {\"box_2d\": [331, 491, 347, 527], \"label\": \"log cross-section\"}\n]\n```", "correct": true, "input_tokens": 1228, "output_tokens": 7009, "elapsed_seconds": 78.4565753750503, "metadata": {"match_method": "map", "num_predictions": 77, "num_ground_truth": 78, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9405940771102905, "attempts": 1, "retries": 0, "total_seconds": 78.4722}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 231, "image": "basketball-player-detection_boston-celtics-new-york-knicks-game-1-q1-04-28-04-20-0185_png.rf.5bf3baa6a3ce5adfe29dab142647c8bc.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [200, 622, 265, 658], \"label\": \"basket rim\"},\n {\"box_2d\": [334, 470, 364, 487], \"label\": \"basketball\"},\n {\"box_2d\": [213, 0, 415, 41], \"label\": \"referee\"},\n {\"box_2d\": [257, 139, 456, 185], \"label\": \"player\"},\n {\"box_2d\": [343, 151, 543, 217], \"label\": \"player\"},\n {\"box_2d\": [376, 277, 603, 332], \"label\": \"player\"},\n {\"box_2d\": [298, 299, 505, 332], \"label\": \"player\"},\n {\"box_2d\": [182, 381, 371, 421], \"label\": \"player\"},\n {\"box_2d\": [247, 455, 459, 505], \"label\": \"player\"},\n {\"box_2d\": [293, 574, 513, 646], \"label\": \"player\"},\n {\"box_2d\": [349, 616, 606, 672], \"label\": \"player\"},\n {\"box_2d\": [260, 697, 466, 739], \"label\": \"referee\"},\n {\"box_2d\": [519, 412, 868, 463], \"label\": \"player\"},\n {\"box_2d\": [510, 453, 789, 508], \"label\": \"player\"},\n {\"box_2d\": [686, 553, 987, 629], \"label\": \"referee\"},\n {\"box_2d\": [788, 590, 809, 603], \"label\": \"jersey number\"},\n {\"box_2d\": [651, 434, 678, 444], \"label\": \"jersey number\"},\n {\"box_2d\": [400, 646, 422, 654], \"label\": \"jersey number\"},\n {\"box_2d\": [355, 615, 374, 626], \"label\": \"jersey number\"},\n {\"box_2d\": [313, 468, 330, 476], \"label\": \"jersey number\"},\n {\"box_2d\": [240, 400, 255, 410], \"label\": \"jersey number\"},\n {\"box_2d\": [407, 184, 424, 191], \"label\": \"jersey number\"},\n {\"box_2d\": [313, 156, 330, 165], \"label\": \"jersey number\"},\n {\"box_2d\": [421, 306, 445, 315], \"label\": \"jersey number\"}\n]\n```", "correct": false, "input_tokens": 1251, "output_tokens": 2342, "elapsed_seconds": 31.17776125005912, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 23, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5928492546081543, "attempts": 1, "retries": 0, "total_seconds": 31.2791}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 232, "image": "construction-safety_ppe_0016_jpg.rf.d53d80274c0b6fdd6cccc30b2f5316b2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [321, 70, 434, 178], \"label\": \"safety helmet\"},\n {\"box_2d\": [286, 184, 376, 260], \"label\": \"safety helmet\"},\n {\"box_2d\": [326, 331, 422, 405], \"label\": \"safety helmet\"},\n {\"box_2d\": [323, 484, 429, 575], \"label\": \"safety helmet\"},\n {\"box_2d\": [306, 579, 396, 675], \"label\": \"safety helmet\"},\n {\"box_2d\": [361, 679, 460, 775], \"label\": \"safety helmet\"},\n {\"box_2d\": [278, 745, 393, 855], \"label\": \"safety helmet\"},\n {\"box_2d\": [480, 260, 848, 441], \"label\": \"safety vest\"},\n {\"box_2d\": [475, 456, 787, 592], \"label\": \"safety vest\"},\n {\"box_2d\": [459, 572, 802, 701], \"label\": \"safety vest\"},\n {\"box_2d\": [482, 689, 864, 798], \"label\": \"safety vest\"},\n {\"box_2d\": [458, 748, 861, 904], \"label\": \"safety vest\"},\n {\"box_2d\": [868, 859, 1000, 975], \"label\": \"safety vest\"},\n {\"box_2d\": [321, 61, 998, 293], \"label\": \"person\"},\n {\"box_2d\": [286, 139, 996, 295], \"label\": \"person\"},\n {\"box_2d\": [326, 253, 859, 445], \"label\": \"person\"},\n {\"box_2d\": [323, 444, 796, 593], \"label\": \"person\"},\n {\"box_2d\": [306, 569, 875, 719], \"label\": \"person\"},\n {\"box_2d\": [361, 608, 868, 799], \"label\": \"person\"},\n {\"box_2d\": [280, 676, 994, 904], \"label\": \"person\"}\n]\n```", "correct": true, "input_tokens": 1222, "output_tokens": 1920, "elapsed_seconds": 40.81247208302375, "metadata": {"match_method": "map", "num_predictions": 20, "num_ground_truth": 19, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 41.7684}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 233, "image": "ind_jpeg_jpg.rf.838960e9a8a04626878832d54c63b122.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [357, 531, 401, 616], \"label\": \"dimension annotation\"},\n {\"box_2d\": [369, 69, 460, 193], \"label\": \"dimension annotation\"},\n {\"box_2d\": [444, 65, 513, 171], \"label\": \"dimension annotation\"},\n {\"box_2d\": [557, 314, 575, 410], \"label\": \"dimension annotation\"},\n {\"box_2d\": [588, 171, 605, 410], \"label\": \"dimension annotation\"},\n {\"box_2d\": [653, 338, 735, 421], \"label\": \"dimension annotation\"},\n {\"box_2d\": [659, 426, 716, 513], \"label\": \"dimension annotation\"},\n {\"box_2d\": [768, 56, 833, 80], \"label\": \"dimension annotation\"},\n {\"box_2d\": [764, 553, 805, 578], \"label\": \"dimension annotation\"},\n {\"box_2d\": [726, 583, 791, 607], \"label\": \"dimension annotation\"},\n {\"box_2d\": [789, 583, 833, 608], \"label\": \"dimension annotation\"},\n {\"box_2d\": [637, 687, 654, 718], \"label\": \"dimension annotation\"},\n {\"box_2d\": [637, 716, 654, 845], \"label\": \"dimension annotation\"},\n {\"box_2d\": [637, 843, 654, 875], \"label\": \"dimension annotation\"},\n {\"box_2d\": [689, 936, 833, 960], \"label\": \"dimension annotation\"},\n {\"box_2d\": [914, 207, 984, 976], \"label\": \"technical drawing table\"}\n]\n```", "correct": false, "input_tokens": 1233, "output_tokens": 2013, "elapsed_seconds": 19.889510083943605, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5099009275436401, "attempts": 1, "retries": 0, "total_seconds": 19.8989}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 234, "image": "frame_0102_jpg.rf.17d6c3b1d93b1bd2e8d8880687a7f794.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [39, 340, 73, 360], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [38, 393, 74, 415], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [44, 449, 82, 471], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [47, 505, 86, 528], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [121, 330, 159, 353], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [124, 385, 163, 409], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [129, 443, 171, 467], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [131, 501, 173, 525], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [216, 331, 258, 357], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [223, 390, 265, 415], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [230, 451, 273, 475], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [248, 509, 292, 535], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [314, 322, 356, 347], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [321, 382, 368, 407], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [330, 443, 376, 469], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [348, 504, 396, 531], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [413, 307, 460, 334], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [426, 367, 473, 394], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [435, 429, 483, 456], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [453, 491, 501, 518], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [526, 312, 575, 340], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [540, 373, 591, 401], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [555, 437, 606, 465], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [571, 501, 620, 529], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [634, 301, 684, 329], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [650, 362, 701, 390], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [668, 427, 718, 454], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [686, 490, 736, 518], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [744, 297, 793, 325], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [764, 358, 813, 385], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [782, 422, 831, 450], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [798, 487, 847, 514], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [859, 304, 908, 333], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [884, 366, 932, 394], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [896, 429, 945, 458], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [915, 494, 964, 522], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [959, 292, 1000, 319], \"label\": \"soda bottle cap\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 2605, "elapsed_seconds": 26.964928500005044, "metadata": {"match_method": "map", "num_predictions": 37, "num_ground_truth": 38, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9702970385551453, "attempts": 1, "retries": 0, "total_seconds": 27.3297}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 235, "image": "tile_559_jpg.rf.2e36153b3f0a023e43755fc06e0c32dc.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [5, 325, 28, 381], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [213, 450, 238, 536], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [321, 249, 360, 349], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [666, 662, 688, 750], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [740, 349, 758, 430], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [886, 0, 906, 78], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [958, 551, 981, 602], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [929, 774, 954, 860], \"label\": \"ship in SAR satellite image\"}\n]\n```", "correct": true, "input_tokens": 1229, "output_tokens": 783, "elapsed_seconds": 9.993721124948934, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 10.0243}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 236, "image": "frame_0555_jpg.rf.e5603989fbc45aefce0b30f65bdbe361.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [82, 237, 145, 281], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [251, 255, 315, 292], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [462, 235, 535, 279], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [611, 232, 690, 280], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [785, 242, 864, 289], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [740, 346, 825, 392], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [492, 348, 559, 387], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [406, 356, 467, 394], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [299, 370, 364, 409], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [219, 353, 277, 389], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [164, 336, 233, 374], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [64, 349, 126, 392], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 344, 45, 385], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 272, 41, 305], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [27, 431, 81, 463], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [235, 442, 305, 478], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [375, 435, 439, 476], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [798, 450, 883, 491], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [769, 485, 849, 526], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [728, 603, 803, 645], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [584, 580, 653, 622], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [465, 549, 527, 585], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [423, 654, 486, 694], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [139, 541, 198, 573], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [46, 538, 106, 570], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 596, 48, 622], \"label\": \"garlic on conveyor\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 1960, "elapsed_seconds": 19.852365124970675, "metadata": {"match_method": "map", "num_predictions": 26, "num_ground_truth": 23, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9619802236557007, "attempts": 1, "retries": 0, "total_seconds": 19.9421}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 237, "image": "DJI_0236_JPG_jpg.rf.d7ac178bd4662b9ae881e21c92284693.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [723, 556, 899, 624], \"label\": \"excavator\"},\n {\"box_2d\": [458, 382, 494, 437], \"label\": \"dump truck\"},\n {\"box_2d\": [414, 231, 443, 274], \"label\": \"dump truck\"},\n {\"box_2d\": [378, 542, 417, 563], \"label\": \"concrete mixer\"}\n]\n```", "correct": false, "input_tokens": 1209, "output_tokens": 1345, "elapsed_seconds": 28.025927250040695, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 6, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7499999403953552, "attempts": 1, "retries": 0, "total_seconds": 28.8121}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 238, "image": "9999981_00000_d_0000108_jpg.rf.808757c317fef3db00edefab735a3c05.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [59, 148, 169, 201], \"label\": \"truck\"},\n {\"box_2d\": [120, 21, 201, 61], \"label\": \"van\"},\n {\"box_2d\": [76, 12, 121, 42], \"label\": \"car\"},\n {\"box_2d\": [289, 59, 355, 92], \"label\": \"van\"},\n {\"box_2d\": [373, 85, 427, 118], \"label\": \"car\"},\n {\"box_2d\": [288, 231, 362, 273], \"label\": \"car\"},\n {\"box_2d\": [1, 406, 56, 441], \"label\": \"car\"},\n {\"box_2d\": [85, 439, 148, 476], \"label\": \"car\"},\n {\"box_2d\": [199, 407, 263, 445], \"label\": \"car\"},\n {\"box_2d\": [210, 496, 274, 542], \"label\": \"car\"},\n {\"box_2d\": [258, 483, 323, 521], \"label\": \"car\"},\n {\"box_2d\": [396, 570, 504, 687], \"label\": \"bus\"},\n {\"box_2d\": [370, 657, 424, 716], \"label\": \"car\"},\n {\"box_2d\": [541, 738, 606, 807], \"label\": \"car\"},\n {\"box_2d\": [542, 327, 628, 376], \"label\": \"car\"},\n {\"box_2d\": [531, 130, 606, 170], \"label\": \"truck\"},\n {\"box_2d\": [786, 734, 871, 795], \"label\": \"car\"},\n {\"box_2d\": [812, 761, 900, 820], \"label\": \"car\"},\n {\"box_2d\": [926, 452, 1000, 526], \"label\": \"car\"},\n {\"box_2d\": [908, 198, 980, 240], \"label\": \"tricycle\"},\n {\"box_2d\": [840, 174, 885, 207], \"label\": \"tricycle\"},\n {\"box_2d\": [867, 391, 900, 412], \"label\": \"motorcycle\"}\n]\n```", "correct": false, "input_tokens": 1214, "output_tokens": 2538, "elapsed_seconds": 23.182028500013985, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 46, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.4006364643573761, "attempts": 1, "retries": 0, "total_seconds": 23.2532}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 239, "image": "egg-detection_image381_jpg.rf.26b6182b9e6a29f3cd96c54029e234f8.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [13, 432, 66, 466], \"label\": \"egg\"},\n {\"box_2d\": [31, 471, 90, 502], \"label\": \"egg\"},\n {\"box_2d\": [64, 426, 125, 456], \"label\": \"egg\"},\n {\"box_2d\": [90, 385, 148, 421], \"label\": \"egg\"},\n {\"box_2d\": [164, 370, 219, 408], \"label\": \"egg\"},\n {\"box_2d\": [245, 419, 307, 455], \"label\": \"egg\"},\n {\"box_2d\": [244, 465, 302, 506], \"label\": \"egg\"},\n {\"box_2d\": [289, 480, 352, 518], \"label\": \"egg\"},\n {\"box_2d\": [309, 426, 376, 459], \"label\": \"egg\"},\n {\"box_2d\": [264, 558, 332, 591], \"label\": \"egg\"},\n {\"box_2d\": [533, 315, 597, 349], \"label\": \"egg\"},\n {\"box_2d\": [589, 301, 646, 339], \"label\": \"egg\"},\n {\"box_2d\": [676, 383, 738, 419], \"label\": \"egg\"},\n {\"box_2d\": [711, 417, 768, 456], \"label\": \"egg\"},\n {\"box_2d\": [707, 479, 770, 517], \"label\": \"egg\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 1486, "elapsed_seconds": 13.457900458946824, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 13.5556}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 240, "image": "A16150-1C_2025_NCPT-175_JPG_jpg.rf.2c6e330d745fc218d09f761944d1e142.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [14, 249, 98, 276], \"label\": \"potato\"},\n {\"box_2d\": [98, 247, 163, 275], \"label\": \"potato\"},\n {\"box_2d\": [10, 294, 59, 316], \"label\": \"potato\"},\n {\"box_2d\": [54, 293, 108, 317], \"label\": \"potato\"},\n {\"box_2d\": [103, 287, 164, 315], \"label\": \"potato\"},\n {\"box_2d\": [160, 285, 240, 316], \"label\": \"potato\"},\n {\"box_2d\": [239, 285, 315, 317], \"label\": \"potato\"},\n {\"box_2d\": [413, 280, 516, 318], \"label\": \"potato\"},\n {\"box_2d\": [574, 284, 650, 312], \"label\": \"potato\"},\n {\"box_2d\": [648, 274, 742, 314], \"label\": \"potato\"},\n {\"box_2d\": [748, 282, 816, 309], \"label\": \"potato\"},\n {\"box_2d\": [918, 282, 988, 312], \"label\": \"potato\"},\n {\"box_2d\": [7, 330, 93, 366], \"label\": \"potato\"},\n {\"box_2d\": [91, 329, 171, 363], \"label\": \"potato\"},\n {\"box_2d\": [168, 329, 244, 361], \"label\": \"potato\"},\n {\"box_2d\": [241, 324, 336, 362], \"label\": \"potato\"},\n {\"box_2d\": [335, 322, 424, 360], \"label\": \"potato\"},\n {\"box_2d\": [440, 328, 517, 360], \"label\": \"potato\"},\n {\"box_2d\": [515, 323, 595, 357], \"label\": \"potato\"},\n {\"box_2d\": [697, 325, 779, 357], \"label\": \"potato\"},\n {\"box_2d\": [775, 325, 855, 354], \"label\": \"potato\"},\n {\"box_2d\": [918, 324, 999, 351], \"label\": \"potato\"},\n {\"box_2d\": [14, 377, 94, 411], \"label\": \"potato\"},\n {\"box_2d\": [106, 373, 189, 405], \"label\": \"potato\"},\n {\"box_2d\": [187, 374, 267, 406], \"label\": \"potato\"},\n {\"box_2d\": [264, 374, 350, 410], \"label\": \"potato\"},\n {\"box_2d\": [335, 364, 386, 389], \"label\": \"potato\"},\n {\"box_2d\": [383, 368, 487, 406], \"label\": \"potato\"},\n {\"box_2d\": [481, 369, 575, 408], \"label\": \"potato\"},\n {\"box_2d\": [685, 367, 761, 400], \"label\": \"potato\"},\n {\"box_2d\": [760, 366, 847, 400], \"label\": \"potato\"},\n {\"box_2d\": [917, 362, 997, 401], \"label\": \"potato\"},\n {\"box_2d\": [5, 414, 88, 453], \"label\": \"potato\"},\n {\"box_2d\": [86, 413, 195, 459], \"label\": \"potato\"},\n {\"box_2d\": [192, 416, 274, 451], \"label\": \"potato\"},\n {\"box_2d\": [347, 415, 435, 449], \"label\": \"potato\"},\n {\"box_2d\": [435, 415, 526, 450], \"label\": \"potato\"},\n {\"box_2d\": [524, 416, 603, 449], \"label\": \"potato\"},\n {\"box_2d\": [601, 411, 688, 446], \"label\": \"potato\"},\n {\"box_2d\": [685, 411, 779, 443], \"label\": \"potato\"},\n {\"box_2d\": [8, 466, 81, 494], \"label\": \"potato\"},\n {\"box_2d\": [79, 466, 141, 494], \"label\": \"potato\"},\n {\"box_2d\": [138, 456, 255, 496], \"label\": \"potato\"},\n {\"box_2d\": [265, 463, 336, 491], \"label\": \"potato\"},\n {\"box_2d\": [337, 459, 414, 490], \"label\": \"potato\"},\n {\"box_2d\": [411, 460, 502, 497], \"label\": \"potato\"},\n {\"box_2d\": [728, 454, 825, 496], \"label\": \"potato\"},\n {\"box_2d\": [914, 455, 995, 488], \"label\": \"potato\"},\n {\"box_2d\": [5, 508, 76, 538], \"label\": \"potato\"},\n {\"box_2d\": [73, 507, 141, 540], \"label\": \"potato\"},\n {\"box_2d\": [138, 506, 245, 545], \"label\": \"potato\"},\n {\"box_2d\": [242, 506, 339, 548], \"label\": \"potato\"},\n {\"box_2d\": [493, 496, 588, 536], \"label\": \"potato\"},\n {\"box_2d\": [682, 495, 801, 546], \"label\": \"potato\"},\n {\"box_2d\": [6, 551, 83, 584], \"label\": \"potato\"},\n {\"box_2d\": [150, 550, 232, 584], \"label\": \"potato\"},\n {\"box_2d\": [229, 550, 319, 582], \"label\": \"potato\"},\n {\"box_2d\": [492, 548, 571, 581], \"label\": \"potato\"},\n {\"box_2d\": [687, 548, 747, 573], \"label\": \"potato\"},\n {\"box_2d\": [785, 541, 878, 581], \"label\": \"potato\"},\n {\"box_2d\": [921, 541, 999, 574], \"label\": \"potato\"},\n {\"box_2d\": [3, 595, 73, 629], \"label\": \"potato\"},\n {\"box_2d\": [69, 595, 173, 633], \"label\": \"potato\"},\n {\"box_2d\": [168, 596, 256, 630], \"label\": \"potato\"},\n {\"box_2d\": [309, 593, 419, 637], \"label\": \"potato\"},\n {\"box_2d\": [645, 585, 731, 619], \"label\": \"potato\"},\n {\"box_2d\": [2, 629, 89, 666], \"label\": \"potato\"},\n {\"box_2d\": [86, 639, 159, 670], \"label\": \"potato\"},\n {\"box_2d\": [157, 638, 235, 670], \"label\": \"potato\"},\n {\"box_2d\": [256, 640, 321, 668], \"label\": \"potato\"},\n {\"box_2d\": [370, 637, 441, 667], \"label\": \"potato\"},\n {\"box_2d\": [506, 638, 574, 663], \"label\": \"potato\"},\n {\"box_2d\": [815, 625, 938, 664], \"label\": \"potato\"},\n {\"box_2d\": [61, 683, 134, 712], \"label\": \"potato\"},\n {\"box_2d\": [13, 727, 99, 762], \"label\": \"potato\"},\n {\"box_2d\": [519, 721, 608, 763], \"label\": \"potato\"},\n {\"box_2d\": [286, 766, 358, 790], \"label\": \"potato\"},\n {\"box_2d\": [439, 765, 519, 796], \"label\": \"potato\"},\n {\"box_2d\": [19, 813, 86, 843], \"label\": \"potato\"},\n {\"box_2d\": [328, 810, 389, 836], \"label\": \"potato\"},\n {\"box_2d\": [316, 849, 394, 878], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 5665, "elapsed_seconds": 44.81385316606611, "metadata": {"match_method": "map", "num_predictions": 81, "num_ground_truth": 81, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 45.3001}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 241, "image": "lot251_JPEG_jpg.rf.5ae906b5fd537b40c5fabb806ecf5fd9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [180, 497, 215, 523], \"label\": \"chicory seed\"},\n {\"box_2d\": [193, 540, 229, 565], \"label\": \"chicory seed\"},\n {\"box_2d\": [195, 576, 232, 603], \"label\": \"chicory seed\"},\n {\"box_2d\": [196, 424, 232, 460], \"label\": \"chicory seed\"},\n {\"box_2d\": [181, 340, 203, 381], \"label\": \"chicory seed\"},\n {\"box_2d\": [187, 362, 214, 405], \"label\": \"chicory seed\"},\n {\"box_2d\": [198, 282, 226, 323], \"label\": \"chicory seed\"},\n {\"box_2d\": [199, 317, 228, 358], \"label\": \"chicory seed\"},\n {\"box_2d\": [208, 365, 232, 409], \"label\": \"chicory seed\"},\n {\"box_2d\": [221, 250, 253, 286], \"label\": \"chicory seed\"},\n {\"box_2d\": [229, 260, 263, 298], \"label\": \"chicory seed\"},\n {\"box_2d\": [220, 300, 260, 330], \"label\": \"chicory seed\"},\n {\"box_2d\": [214, 335, 252, 366], \"label\": \"chicory seed\"},\n {\"box_2d\": [226, 353, 265, 378], \"label\": \"chicory seed\"},\n {\"box_2d\": [219, 398, 253, 437], \"label\": \"chicory seed\"},\n {\"box_2d\": [238, 375, 260, 417], \"label\": \"chicory seed\"},\n {\"box_2d\": [219, 491, 254, 519], \"label\": \"chicory seed\"},\n {\"box_2d\": [215, 519, 255, 542], \"label\": \"chicory seed\"},\n {\"box_2d\": [240, 591, 261, 631], \"label\": \"chicory seed\"},\n {\"box_2d\": [243, 638, 285, 667], \"label\": \"chicory seed\"},\n {\"box_2d\": [249, 661, 270, 698], \"label\": \"chicory seed\"},\n {\"box_2d\": [248, 288, 286, 318], \"label\": \"chicory seed\"},\n {\"box_2d\": [262, 241, 289, 281], \"label\": \"chicory seed\"},\n {\"box_2d\": [263, 276, 298, 308], \"label\": \"chicory seed\"},\n {\"box_2d\": [273, 308, 297, 351], \"label\": \"chicory seed\"},\n {\"box_2d\": [277, 335, 312, 372], \"label\": \"chicory seed\"},\n {\"box_2d\": [258, 372, 282, 413], \"label\": \"chicory seed\"},\n {\"box_2d\": [278, 372, 298, 412], \"label\": \"chicory seed\"},\n {\"box_2d\": [243, 419, 279, 459], \"label\": \"chicory seed\"},\n {\"box_2d\": [253, 452, 290, 485], \"label\": \"chicory seed\"},\n {\"box_2d\": [274, 421, 301, 465], \"label\": \"chicory seed\"},\n {\"box_2d\": [274, 484, 307, 524], \"label\": \"chicory seed\"},\n {\"box_2d\": [249, 533, 285, 571], \"label\": \"chicory seed\"},\n {\"box_2d\": [281, 546, 301, 592], \"label\": \"chicory seed\"},\n {\"box_2d\": [272, 604, 303, 638], \"label\": \"chicory seed\"},\n {\"box_2d\": [271, 657, 293, 698], \"label\": \"chicory seed\"},\n {\"box_2d\": [290, 645, 312, 686], \"label\": \"chicory seed\"},\n {\"box_2d\": [292, 696, 325, 736], \"label\": \"chicory seed\"},\n {\"box_2d\": [281, 192, 315, 230], \"label\": \"chicory seed\"},\n {\"box_2d\": [292, 208, 322, 248], \"label\": \"chicory seed\"},\n {\"box_2d\": [324, 206, 348, 246], \"label\": \"chicory seed\"},\n {\"box_2d\": [303, 269, 338, 302], \"label\": \"chicory seed\"},\n {\"box_2d\": [299, 282, 320, 325], \"label\": \"chicory seed\"},\n {\"box_2d\": [312, 320, 333, 364], \"label\": \"chicory seed\"},\n {\"box_2d\": [296, 364, 325, 405], \"label\": \"chicory seed\"},\n {\"box_2d\": [287, 406, 328, 429], \"label\": \"chicory seed\"},\n {\"box_2d\": [318, 360, 348, 400], \"label\": \"chicory seed\"},\n {\"box_2d\": [296, 438, 318, 480], \"label\": \"chicory seed\"},\n {\"box_2d\": [320, 420, 351, 461], \"label\": \"chicory seed\"},\n {\"box_2d\": [316, 452, 356, 478], \"label\": \"chicory seed\"},\n {\"box_2d\": [308, 476, 347, 500], \"label\": \"chicory seed\"},\n {\"box_2d\": [291, 509, 329, 535], \"label\": \"chicory seed\"},\n {\"box_2d\": [300, 549, 329, 592], \"label\": \"chicory seed\"},\n {\"box_2d\": [312, 567, 348, 604], \"label\": \"chicory seed\"},\n {\"box_2d\": [302, 608, 335, 645], \"label\": \"chicory seed\"},\n {\"box_2d\": [312, 669, 335, 713], \"label\": \"chicory seed\"},\n {\"box_2d\": [327, 695, 363, 731], \"label\": \"chicory seed\"},\n {\"box_2d\": [331, 747, 369, 777], \"label\": \"chicory seed\"},\n {\"box_2d\": [333, 664, 371, 689], \"label\": \"chicory seed\"},\n {\"box_2d\": [336, 619, 358, 661], \"label\": \"chicory seed\"},\n {\"box_2d\": [335, 242, 374, 264], \"label\": \"chicory seed\"},\n {\"box_2d\": [322, 260, 366, 284], \"label\": \"chicory seed\"},\n {\"box_2d\": [329, 285, 362, 324], \"label\": \"chicory seed\"},\n {\"box_2d\": [336, 338, 368, 375], \"label\": \"chicory seed\"},\n {\"box_2d\": [322, 398, 360, 419], \"label\": \"chicory seed\"},\n {\"box_2d\": [349, 173, 381, 211], \"label\": \"chicory seed\"},\n {\"box_2d\": [350, 198, 386, 232], \"label\": \"chicory seed\"},\n {\"box_2d\": [373, 211, 395, 255], \"label\": \"chicory seed\"},\n {\"box_2d\": [363, 260, 399, 294], \"label\": \"chicory seed\"},\n {\"box_2d\": [365, 279, 404, 309], \"label\": \"chicory seed\"},\n {\"box_2d\": [347, 307, 391, 332], \"label\": \"chicory seed\"},\n {\"box_2d\": [356, 329, 389, 369], \"label\": \"chicory seed\"},\n {\"box_2d\": [378, 325, 414, 365], \"label\": \"chicory seed\"},\n {\"box_2d\": [352, 375, 391, 399], \"label\": \"chicory seed\"},\n {\"box_2d\": [365, 390, 404, 415], \"label\": \"chicory seed\"},\n {\"box_2d\": [352, 417, 377, 458], \"label\": \"chicory seed\"},\n {\"box_2d\": [367, 413, 401, 450], \"label\": \"chicory seed\"},\n {\"box_2d\": [356, 464, 392, 499], \"label\": \"chicory seed\"},\n {\"box_2d\": [375, 451, 407, 489], \"label\": \"chicory seed\"},\n {\"box_2d\": [340, 491, 376, 521], \"label\": \"chicory seed\"},\n {\"box_2d\": [334, 525, 358, 567], \"label\": \"chicory seed\"},\n {\"box_2d\": [356, 504, 381, 545], \"label\": \"chicory seed\"},\n {\"box_2d\": [378, 508, 401, 552], \"label\": \"chicory seed\"},\n {\"box_2d\": [341, 566, 375, 606], \"label\": \"chicory seed\"},\n {\"box_2d\": [363, 548, 399, 582], \"label\": \"chicory seed\"},\n {\"box_2d\": [371, 575, 409, 609], \"label\": \"chicory seed\"},\n {\"box_2d\": [357, 594, 395, 631], \"label\": \"chicory seed\"},\n {\"box_2d\": [360, 631, 388, 671], \"label\": \"chicory seed\"},\n {\"box_2d\": [355, 676, 389, 713], \"label\": \"chicory seed\"},\n {\"box_2d\": [354, 729, 386, 767], \"label\": \"chicory seed\"},\n {\"box_2d\": [384, 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[404, 179, 446, 208], \"label\": \"chicory seed\"},\n {\"box_2d\": [408, 195, 448, 224], \"label\": \"chicory seed\"},\n {\"box_2d\": [410, 217, 447, 248], \"label\": \"chicory seed\"},\n {\"box_2d\": [401, 237, 426, 280], \"label\": \"chicory seed\"},\n {\"box_2d\": [417, 245, 452, 282], \"label\": \"chicory seed\"},\n {\"box_2d\": [404, 280, 442, 304], \"label\": \"chicory seed\"},\n {\"box_2d\": [424, 304, 448, 345], \"label\": \"chicory seed\"},\n {\"box_2d\": [411, 355, 448, 390], \"label\": \"chicory seed\"},\n {\"box_2d\": [429, 344, 466, 369], \"label\": \"chicory seed\"},\n {\"box_2d\": [442, 381, 479, 410], \"label\": \"chicory seed\"},\n {\"box_2d\": [424, 411, 458, 448], \"label\": \"chicory seed\"},\n {\"box_2d\": [442, 420, 470, 462], \"label\": \"chicory seed\"},\n {\"box_2d\": [413, 461, 433, 505], \"label\": \"chicory seed\"},\n {\"box_2d\": [431, 473, 469, 496], \"label\": \"chicory seed\"},\n {\"box_2d\": [434, 494, 471, 518], \"label\": \"chicory seed\"},\n {\"box_2d\": [431, 517, 472, 538], \"label\": \"chicory seed\"},\n {\"box_2d\": [437, 534, 478, 555], \"label\": \"chicory seed\"},\n {\"box_2d\": [426, 554, 464, 588], \"label\": \"chicory seed\"},\n {\"box_2d\": [452, 553, 492, 575], \"label\": \"chicory seed\"},\n {\"box_2d\": [422, 583, 460, 619], \"label\": \"chicory seed\"},\n {\"box_2d\": [420, 607, 451, 646], \"label\": \"chicory seed\"},\n {\"box_2d\": [405, 631, 428, 673], \"label\": \"chicory seed\"},\n {\"box_2d\": [412, 665, 445, 698], \"label\": \"chicory seed\"},\n {\"box_2d\": [445, 651, 464, 694], \"label\": \"chicory seed\"},\n {\"box_2d\": [448, 607, 477, 646], \"label\": \"chicory seed\"},\n {\"box_2d\": [439, 693, 477, 727], \"label\": \"chicory seed\"},\n {\"box_2d\": [424, 710, 464, 737], \"label\": \"chicory seed\"},\n {\"box_2d\": [437, 735, 478, 760], \"label\": \"chicory seed\"},\n {\"box_2d\": [443, 757, 483, 780], \"label\": \"chicory seed\"},\n {\"box_2d\": [424, 781, 462, 806], \"label\": \"chicory seed\"},\n {\"box_2d\": [455, 148, 496, 169], \"label\": \"chicory seed\"},\n {\"box_2d\": [451, 184, 471, 228], \"label\": \"chicory seed\"},\n {\"box_2d\": [473, 196, 493, 239], \"label\": \"chicory seed\"},\n {\"box_2d\": [455, 240, 495, 267], \"label\": \"chicory seed\"},\n {\"box_2d\": [454, 260, 491, 293], \"label\": \"chicory seed\"},\n {\"box_2d\": [449, 289, 490, 319], \"label\": \"chicory seed\"},\n {\"box_2d\": [448, 312, 485, 343], \"label\": \"chicory seed\"},\n {\"box_2d\": [461, 333, 487, 376], \"label\": \"chicory seed\"},\n {\"box_2d\": [483, 305, 519, 339], \"label\": \"chicory seed\"},\n {\"box_2d\": [489, 262, 514, 305], \"label\": \"chicory seed\"},\n {\"box_2d\": [488, 339, 526, 362], \"label\": \"chicory seed\"},\n {\"box_2d\": [485, 359, 526, 381], \"label\": \"chicory seed\"},\n {\"box_2d\": [481, 382, 521, 405], \"label\": \"chicory seed\"},\n {\"box_2d\": [466, 400, 507, 423], \"label\": \"chicory seed\"},\n {\"box_2d\": [490, 415, 531, 441], \"label\": \"chicory seed\"},\n {\"box_2d\": [472, 430, 512, 457], \"label\": \"chicory seed\"},\n {\"box_2d\": [470, 487, 492, 533], \"label\": \"chicory seed\"},\n {\"box_2d\": [494, 463, 521, 505], \"label\": \"chicory seed\"},\n {\"box_2d\": [482, 511, 506, 552], \"label\": \"chicory seed\"},\n {\"box_2d\": [474, 575, 517, 601], \"label\": \"chicory seed\"},\n {\"box_2d\": [471, 594, 514, 622], \"label\": \"chicory seed\"},\n {\"box_2d\": [464, 614, 498, 654], \"label\": \"chicory seed\"},\n {\"box_2d\": [481, 622, 514, 663], \"label\": \"chicory seed\"},\n {\"box_2d\": [461, 655, 482, 699], \"label\": \"chicory seed\"},\n {\"box_2d\": [481, 666, 501, 709], \"label\": \"chicory seed\"},\n {\"box_2d\": [474, 703, 513, 737], \"label\": \"chicory seed\"},\n {\"box_2d\": [461, 725, 500, 753], \"label\": \"chicory seed\"},\n {\"box_2d\": [491, 756, 524, 795], \"label\": \"chicory seed\"},\n {\"box_2d\": [504, 140, 532, 181], \"label\": \"chicory seed\"},\n {\"box_2d\": [530, 143, 555, 187], \"label\": \"chicory seed\"},\n {\"box_2d\": [498, 184, 520, 221], \"label\": \"chicory seed\"},\n {\"box_2d\": [500, 209, 539, 236], \"label\": \"chicory seed\"},\n {\"box_2d\": [502, 235, 541, 261], \"label\": \"chicory seed\"},\n {\"box_2d\": [517, 252, 540, 292], \"label\": \"chicory seed\"},\n {\"box_2d\": [535, 252, 559, 294], \"label\": \"chicory seed\"},\n {\"box_2d\": [532, 222, 571, 250], \"label\": \"chicory seed\"},\n {\"box_2d\": [523, 295, 559, 331], \"label\": \"chicory seed\"},\n {\"box_2d\": [515, 326, 552, 361], \"label\": \"chicory seed\"},\n {\"box_2d\": [526, 360, 564, 391], \"label\": \"chicory seed\"},\n {\"box_2d\": [515, 388, 553, 418], \"label\": \"chicory seed\"},\n {\"box_2d\": [527, 395, 565, 427], \"label\": \"chicory seed\"},\n {\"box_2d\": [531, 412, 569, 444], \"label\": \"chicory seed\"},\n {\"box_2d\": [539, 431, 579, 459], \"label\": \"chicory seed\"},\n {\"box_2d\": [511, 445, 538, 487], \"label\": \"chicory seed\"},\n {\"box_2d\": [547, 454, 585, 480], \"label\": \"chicory seed\"},\n {\"box_2d\": [534, 470, 573, 503], \"label\": \"chicory seed\"},\n {\"box_2d\": [520, 493, 559, 525], \"label\": \"chicory seed\"},\n {\"box_2d\": [515, 515, 554, 547], \"label\": \"chicory seed\"},\n {\"box_2d\": [501, 535, 541, 562], \"label\": \"chicory seed\"},\n {\"box_2d\": [498, 553, 537, 581], \"label\": \"chicory seed\"},\n {\"box_2d\": [516, 566, 551, 608], \"label\": \"chicory seed\"},\n {\"box_2d\": [524, 588, 559, 629], \"label\": \"chicory seed\"},\n {\"box_2d\": [499, 631, 534, 671], \"label\": \"chicory seed\"},\n {\"box_2d\": [498, 662, 534, 698], \"label\": \"chicory seed\"},\n {\"box_2d\": [500, 682, 538, 718], \"label\": \"chicory seed\"},\n {\"box_2d\": [519, 698, 561, 728], \"label\": \"chicory seed\"},\n {\"box_2d\": [507, 724, 548, 749], \"label\": \"chicory seed\"},\n {\"box_2d\": [533, 737, 572, 765], \"label\": \"chicory seed\"},\n {\"box_2d\": [520, 760, 547, 801], \"label\": \"chicory seed\"},\n {\"box_2d\": [531, 628, 566, 667], \"label\": \"chicory seed\"},\n {\"box_2d\": [532, 658, 564, 696], \"label\": \"chicory seed\"},\n {\"box_2d\": [559, 147, 588, 185], \"label\": \"chicory seed\"},\n {\"box_2d\": [567, 165, 601, 201], \"label\": \"chicory seed\"},\n {\"box_2d\": [561, 194, 598, 229], \"label\": \"chicory seed\"},\n {\"box_2d\": [574, 208, 613, 241], \"label\": \"chicory seed\"},\n {\"box_2d\": [557, 255, 581, 297], \"label\": \"chicory seed\"},\n {\"box_2d\": [579, 240, 602, 282], \"label\": \"chicory seed\"},\n {\"box_2d\": [573, 276, 599, 320], \"label\": \"chicory seed\"},\n {\"box_2d\": [557, 295, 585, 338], \"label\": \"chicory seed\"},\n {\"box_2d\": [549, 324, 573, 368], \"label\": \"chicory seed\"},\n {\"box_2d\": [570, 340, 592, 382], \"label\": \"chicory seed\"},\n {\"box_2d\": [584, 325, 605, 370], \"label\": \"chicory seed\"},\n {\"box_2d\": [589, 364, 612, 409], \"label\": \"chicory seed\"},\n {\"box_2d\": [565, 398, 594, 439], \"label\": \"chicory seed\"},\n {\"box_2d\": [590, 407, 622, 447], \"label\": \"chicory seed\"},\n {\"box_2d\": [584, 451, 605, 493], \"label\": \"chicory seed\"},\n {\"box_2d\": [556, 492, 591, 533], \"label\": \"chicory seed\"},\n {\"box_2d\": [581, 494, 610, 537], \"label\": \"chicory seed\"},\n {\"box_2d\": [552, 542, 579, 588], \"label\": \"chicory seed\"},\n {\"box_2d\": [578, 556, 598, 604], \"label\": \"chicory seed\"},\n {\"box_2d\": [559, 595, 581, 639], \"label\": \"chicory seed\"},\n {\"box_2d\": [550, 623, 585, 663], \"label\": \"chicory seed\"},\n {\"box_2d\": [577, 608, 604, 656], \"label\": \"chicory seed\"},\n {\"box_2d\": [574, 668, 614, 696], \"label\": \"chicory seed\"},\n {\"box_2d\": [567, 688, 608, 712], \"label\": \"chicory seed\"},\n {\"box_2d\": [567, 706, 607, 738], \"label\": \"chicory seed\"},\n {\"box_2d\": [552, 713, 588, 748], \"label\": \"chicory seed\"},\n {\"box_2d\": [590, 270, 614, 312], \"label\": \"chicory seed\"},\n {\"box_2d\": [618, 196, 658, 228], \"label\": \"chicory seed\"},\n {\"box_2d\": [602, 230, 627, 272], \"label\": \"chicory seed\"},\n {\"box_2d\": [617, 239, 648, 280], \"label\": \"chicory seed\"},\n {\"box_2d\": [610, 277, 636, 319], \"label\": \"chicory seed\"},\n {\"box_2d\": [629, 268, 654, 311], \"label\": \"chicory seed\"},\n {\"box_2d\": [618, 311, 659, 344], \"label\": \"chicory seed\"},\n {\"box_2d\": [603, 334, 626, 377], \"label\": \"chicory seed\"},\n {\"box_2d\": [622, 347, 656, 386], \"label\": \"chicory seed\"},\n {\"box_2d\": [618, 374, 659, 406], \"label\": \"chicory seed\"},\n {\"box_2d\": [606, 410, 642, 450], \"label\": \"chicory seed\"},\n {\"box_2d\": [626, 423, 661, 462], \"label\": \"chicory seed\"},\n {\"box_2d\": [604, 449, 626, 491], \"label\": \"chicory seed\"},\n {\"box_2d\": [612, 486, 651, 510], \"label\": \"chicory seed\"},\n {\"box_2d\": [622, 502, 663, 526], \"label\": \"chicory seed\"},\n {\"box_2d\": [606, 511, 628, 554], \"label\": \"chicory seed\"},\n {\"box_2d\": [598, 553, 637, 583], \"label\": \"chicory seed\"},\n {\"box_2d\": [628, 530, 668, 555], \"label\": \"chicory seed\"},\n {\"box_2d\": [626, 559, 664, 586], \"label\": \"chicory seed\"},\n {\"box_2d\": [601, 596, 625, 641], \"label\": \"chicory seed\"},\n {\"box_2d\": [617, 603, 646, 645], \"label\": \"chicory seed\"},\n {\"box_2d\": [589, 655, 627, 686], \"label\": \"chicory seed\"},\n {\"box_2d\": [616, 638, 645, 672], \"label\": \"chicory seed\"},\n {\"box_2d\": [618, 671, 660, 700], \"label\": \"chicory seed\"},\n {\"box_2d\": [605, 697, 646, 721], \"label\": \"chicory seed\"},\n {\"box_2d\": [618, 721, 656, 759], \"label\": \"chicory seed\"},\n {\"box_2d\": [643, 712, 674, 752], \"label\": \"chicory seed\"},\n {\"box_2d\": [640, 585, 672, 623], \"label\": \"chicory seed\"},\n {\"box_2d\": [642, 641, 678, 678], \"label\": \"chicory seed\"},\n {\"box_2d\": [631, 466, 672, 495], \"label\": \"chicory seed\"},\n {\"box_2d\": [660, 203, 698, 234], \"label\": \"chicory seed\"},\n {\"box_2d\": [647, 232, 688, 256], \"label\": \"chicory seed\"},\n {\"box_2d\": [640, 254, 681, 281], \"label\": \"chicory seed\"},\n {\"box_2d\": [654, 281, 695, 304], \"label\": \"chicory seed\"},\n {\"box_2d\": [657, 301, 688, 342], \"label\": \"chicory seed\"},\n {\"box_2d\": [645, 328, 671, 370], \"label\": \"chicory seed\"},\n {\"box_2d\": [679, 244, 706, 286], \"label\": \"chicory seed\"},\n {\"box_2d\": [679, 302, 705, 345], \"label\": \"chicory seed\"},\n {\"box_2d\": [672, 341, 711, 373], \"label\": \"chicory seed\"},\n {\"box_2d\": [654, 371, 682, 411], \"label\": \"chicory seed\"},\n {\"box_2d\": [657, 404, 696, 431], \"label\": \"chicory seed\"},\n {\"box_2d\": [647, 427, 682, 465], \"label\": \"chicory seed\"},\n {\"box_2d\": [661, 444, 685, 488], \"label\": \"chicory seed\"},\n {\"box_2d\": [681, 419, 704, 460], \"label\": \"chicory seed\"},\n {\"box_2d\": [695, 357, 720, 402], \"label\": \"chicory seed\"},\n {\"box_2d\": [672, 482, 704, 524], \"label\": \"chicory seed\"},\n {\"box_2d\": [665, 520, 701, 559], \"label\": \"chicory seed\"},\n {\"box_2d\": [692, 486, 720, 528], \"label\": \"chicory seed\"},\n {\"box_2d\": [692, 450, 731, 479], \"label\": \"chicory seed\"},\n {\"box_2d\": [679, 601, 707, 645], \"label\": \"chicory seed\"},\n {\"box_2d\": [655, 672, 693, 705], \"label\": \"chicory seed\"},\n {\"box_2d\": [695, 644, 735, 668], \"label\": \"chicory seed\"},\n {\"box_2d\": [696, 551, 734, 578], \"label\": \"chicory seed\"},\n {\"box_2d\": [701, 245, 729, 284], \"label\": \"chicory seed\"},\n {\"box_2d\": [697, 282, 725, 321], \"label\": \"chicory seed\"},\n {\"box_2d\": [716, 283, 747, 326], \"label\": \"chicory seed\"},\n {\"box_2d\": [703, 322, 736, 360], \"label\": \"chicory seed\"},\n {\"box_2d\": [721, 317, 752, 357], \"label\": \"chicory seed\"},\n {\"box_2d\": [714, 355, 739, 399], \"label\": \"chicory seed\"},\n {\"box_2d\": [742, 285, 769, 329], \"label\": \"chicory seed\"},\n {\"box_2d\": [738, 364, 762, 407], \"label\": \"chicory seed\"},\n {\"box_2d\": [755, 346, 777, 389], \"label\": \"chicory seed\"},\n {\"box_2d\": [704, 400, 744, 427], \"label\": \"chicory seed\"},\n {\"box_2d\": [711, 419, 751, 447], \"label\": \"chicory seed\"},\n {\"box_2d\": [742, 420, 779, 457], \"label\": \"chicory seed\"},\n {\"box_2d\": [759, 400, 799, 426], \"label\": \"chicory seed\"},\n {\"box_2d\": [716, 461, 747, 503], \"label\": \"chicory seed\"},\n {\"box_2d\": [734, 462, 770, 502], \"label\": \"chicory seed\"},\n {\"box_2d\": [712, 496, 747, 535], \"label\": \"chicory seed\"},\n {\"box_2d\": [743, 501, 772, 543], \"label\": \"chicory seed\"},\n {\"box_2d\": [755, 484, 786, 527], \"label\": \"chicory seed\"},\n {\"box_2d\": [773, 474, 808, 512], \"label\": \"chicory seed\"},\n {\"box_2d\": [761, 525, 799, 558], \"label\": \"chicory seed\"},\n {\"box_2d\": [728, 541, 755, 585], \"label\": \"chicory seed\"},\n {\"box_2d\": [715, 578, 743, 622], \"label\": \"chicory seed\"},\n {\"box_2d\": [738, 576, 770, 616], \"label\": \"chicory seed\"},\n {\"box_2d\": [750, 591, 785, 630], \"label\": \"chicory seed\"},\n {\"box_2d\": [729, 621, 754, 666], \"label\": \"chicory seed\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 17687, "elapsed_seconds": 147.07673037494533, "metadata": {"match_method": "map", "num_predictions": 300, "num_ground_truth": 300, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3366336524486542, "attempts": 3, "retries": 2, "total_seconds": 275.1465, "transient_errors": ["RemoteProtocolError", "RemoteProtocolError"]}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 242, "image": "4105625_ContRightUpper_f_jpg.rf.262f5072bce0f2365a2193d631224fd1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [326, 0, 616, 273], \"label\": \"shipping container wall dent\"}\n]\n```", "correct": false, "input_tokens": 1255, "output_tokens": 476, "elapsed_seconds": 9.90444212500006, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 10.0021}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 243, "image": "18_jpeg_jpg.rf.b131f08c745acace9daeeea095e0d1ef.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [86, 19, 189, 110], \"label\": \"potato\"},\n {\"box_2d\": [301, 179, 389, 260], \"label\": \"potato\"},\n {\"box_2d\": [501, 0, 686, 61], \"label\": \"potato\"},\n {\"box_2d\": [492, 236, 619, 323], \"label\": \"potato\"},\n {\"box_2d\": [703, 142, 811, 248], \"label\": \"potato\"},\n {\"box_2d\": [903, 149, 1000, 253], \"label\": \"potato\"},\n {\"box_2d\": [90, 444, 179, 540], \"label\": \"potato\"},\n {\"box_2d\": [497, 450, 594, 535], \"label\": \"potato\"},\n {\"box_2d\": [716, 355, 819, 478], \"label\": \"potato\"},\n {\"box_2d\": [499, 612, 604, 699], \"label\": \"potato\"},\n {\"box_2d\": [720, 541, 817, 628], \"label\": \"potato\"},\n {\"box_2d\": [716, 665, 819, 750], \"label\": \"potato\"},\n {\"box_2d\": [905, 595, 1000, 692], \"label\": \"potato\"},\n {\"box_2d\": [90, 888, 213, 987], \"label\": \"potato\"},\n {\"box_2d\": [284, 844, 404, 968], \"label\": \"potato\"},\n {\"box_2d\": [499, 877, 596, 957], \"label\": \"potato\"},\n {\"box_2d\": [688, 936, 794, 1000], \"label\": \"potato\"},\n {\"box_2d\": [873, 917, 987, 1000], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1240, "output_tokens": 1534, "elapsed_seconds": 18.40078479098156, "metadata": {"match_method": "map", "num_predictions": 18, "num_ground_truth": 18, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 18.4311}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 244, "image": "lot312_JPEG_jpg.rf.6c72b39304c1a45a005f911f32e89494.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [136, 481, 159, 521], \"label\": \"chicory seed\"},\n {\"box_2d\": [142, 418, 171, 459], \"label\": \"chicory seed\"},\n {\"box_2d\": [143, 536, 167, 583], \"label\": \"chicory seed\"},\n {\"box_2d\": [151, 581, 179, 623], \"label\": \"chicory seed\"},\n {\"box_2d\": [155, 470, 181, 511], \"label\": \"chicory seed\"},\n {\"box_2d\": [159, 540, 186, 584], \"label\": \"chicory seed\"},\n {\"box_2d\": [167, 320, 195, 363], \"label\": \"chicory seed\"},\n {\"box_2d\": [170, 610, 203, 651], \"label\": \"chicory seed\"},\n {\"box_2d\": [170, 657, 199, 701], \"label\": \"chicory seed\"},\n {\"box_2d\": [172, 463, 197, 504], \"label\": \"chicory seed\"},\n {\"box_2d\": [175, 576, 214, 615], \"label\": \"chicory seed\"},\n {\"box_2d\": [182, 355, 212, 399], \"label\": \"chicory seed\"},\n {\"box_2d\": [183, 531, 207, 576], \"label\": \"chicory seed\"},\n {\"box_2d\": [192, 390, 221, 431], \"label\": \"chicory seed\"},\n {\"box_2d\": [193, 450, 222, 490], \"label\": \"chicory seed\"},\n {\"box_2d\": [194, 489, 234, 519], \"label\": \"chicory seed\"},\n {\"box_2d\": [195, 667, 219, 707], \"label\": \"chicory seed\"},\n {\"box_2d\": [210, 427, 250, 464], \"label\": \"chicory seed\"},\n {\"box_2d\": [213, 561, 241, 606], \"label\": \"chicory seed\"},\n {\"box_2d\": [214, 344, 239, 389], \"label\": \"chicory seed\"},\n {\"box_2d\": [214, 728, 246, 767], \"label\": \"chicory seed\"},\n {\"box_2d\": [216, 265, 241, 307], \"label\": \"chicory seed\"},\n {\"box_2d\": [216, 468, 260, 497], \"label\": \"chicory seed\"},\n {\"box_2d\": [216, 655, 249, 697], \"label\": \"chicory seed\"},\n {\"box_2d\": [217, 606, 242, 650], \"label\": \"chicory seed\"},\n {\"box_2d\": [219, 375, 251, 417], \"label\": \"chicory seed\"},\n {\"box_2d\": [222, 309, 250, 351], \"label\": \"chicory seed\"},\n {\"box_2d\": [225, 396, 265, 429], \"label\": \"chicory seed\"},\n {\"box_2d\": [228, 518, 253, 562], \"label\": \"chicory seed\"},\n {\"box_2d\": [238, 346, 271, 387], \"label\": \"chicory seed\"},\n {\"box_2d\": [239, 204, 274, 244], \"label\": \"chicory seed\"},\n {\"box_2d\": [240, 594, 283, 626], \"label\": \"chicory seed\"},\n {\"box_2d\": [242, 426, 274, 468], \"label\": \"chicory seed\"},\n {\"box_2d\": [243, 500, 279, 539], \"label\": \"chicory seed\"},\n {\"box_2d\": [244, 669, 289, 698], \"label\": \"chicory seed\"},\n {\"box_2d\": [246, 533, 270, 574], \"label\": \"chicory seed\"},\n {\"box_2d\": [249, 747, 275, 792], \"label\": \"chicory seed\"},\n {\"box_2d\": [253, 239, 278, 281], \"label\": \"chicory seed\"},\n {\"box_2d\": [256, 569, 296, 607], \"label\": \"chicory seed\"},\n {\"box_2d\": [257, 465, 287, 505], \"label\": \"chicory seed\"},\n {\"box_2d\": [259, 698, 288, 740], \"label\": \"chicory seed\"},\n {\"box_2d\": [263, 376, 292, 417], \"label\": \"chicory seed\"},\n {\"box_2d\": [268, 414, 295, 456], \"label\": \"chicory seed\"},\n {\"box_2d\": [269, 532, 313, 560], \"label\": \"chicory seed\"},\n {\"box_2d\": [270, 493, 308, 530], \"label\": \"chicory seed\"},\n {\"box_2d\": [276, 232, 303, 276], \"label\": \"chicory seed\"},\n {\"box_2d\": [276, 628, 311, 667], \"label\": \"chicory seed\"},\n {\"box_2d\": [278, 786, 318, 821], \"label\": \"chicory seed\"},\n {\"box_2d\": [279, 174, 315, 211], \"label\": \"chicory seed\"},\n {\"box_2d\": [280, 331, 309, 372], \"label\": \"chicory seed\"},\n {\"box_2d\": [284, 258, 313, 299], \"label\": \"chicory seed\"},\n {\"box_2d\": [284, 451, 310, 492], \"label\": \"chicory seed\"},\n {\"box_2d\": [284, 692, 316, 735], \"label\": \"chicory seed\"},\n {\"box_2d\": [285, 754, 318, 793], \"label\": \"chicory seed\"},\n {\"box_2d\": [289, 662, 331, 697], \"label\": \"chicory seed\"},\n {\"box_2d\": [291, 381, 333, 410], \"label\": \"chicory seed\"},\n {\"box_2d\": [294, 414, 323, 456], \"label\": \"chicory seed\"},\n {\"box_2d\": [297, 285, 328, 329], \"label\": \"chicory seed\"},\n {\"box_2d\": [300, 211, 327, 256], \"label\": \"chicory seed\"},\n {\"box_2d\": [300, 500, 333, 540], \"label\": \"chicory seed\"},\n {\"box_2d\": [301, 545, 335, 585], \"label\": \"chicory seed\"},\n {\"box_2d\": [301, 800, 338, 835], \"label\": \"chicory seed\"},\n {\"box_2d\": [306, 591, 349, 618], \"label\": \"chicory seed\"},\n {\"box_2d\": [309, 404, 353, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [310, 474, 335, 516], \"label\": \"chicory seed\"},\n {\"box_2d\": [310, 716, 335, 760], \"label\": \"chicory seed\"},\n {\"box_2d\": [313, 327, 355, 355], \"label\": \"chicory seed\"},\n {\"box_2d\": [314, 757, 338, 801], \"label\": \"chicory seed\"},\n {\"box_2d\": [316, 237, 347, 281], \"label\": \"chicory seed\"},\n {\"box_2d\": [316, 636, 342, 680], \"label\": \"chicory seed\"},\n {\"box_2d\": [319, 360, 358, 396], \"label\": \"chicory seed\"},\n {\"box_2d\": [323, 434, 354, 475], \"label\": \"chicory seed\"},\n {\"box_2d\": [325, 687, 361, 725], \"label\": \"chicory seed\"},\n {\"box_2d\": [326, 816, 359, 855], \"label\": \"chicory seed\"},\n {\"box_2d\": [331, 271, 358, 317], \"label\": \"chicory seed\"},\n {\"box_2d\": [332, 479, 356, 524], \"label\": \"chicory seed\"},\n {\"box_2d\": [332, 732, 368, 769], \"label\": \"chicory seed\"},\n {\"box_2d\": [334, 531, 361, 574], \"label\": \"chicory seed\"},\n {\"box_2d\": [335, 768, 376, 799], \"label\": \"chicory seed\"},\n {\"box_2d\": [342, 419, 372, 461], \"label\": \"chicory seed\"},\n {\"box_2d\": [346, 351, 386, 384], \"label\": \"chicory seed\"},\n {\"box_2d\": [350, 382, 386, 421], \"label\": \"chicory seed\"},\n {\"box_2d\": [353, 226, 381, 271], \"label\": \"chicory seed\"},\n {\"box_2d\": [355, 175, 384, 217], \"label\": \"chicory seed\"},\n {\"box_2d\": [355, 465, 384, 509], \"label\": \"chicory seed\"},\n {\"box_2d\": [356, 284, 385, 326], \"label\": \"chicory seed\"},\n {\"box_2d\": [356, 785, 390, 824], \"label\": \"chicory seed\"},\n {\"box_2d\": [359, 823, 400, 851], \"label\": 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\"label\": \"chicory seed\"},\n {\"box_2d\": [390, 684, 417, 727], \"label\": \"chicory seed\"},\n {\"box_2d\": [391, 245, 431, 272], \"label\": \"chicory seed\"},\n {\"box_2d\": [391, 312, 429, 349], \"label\": \"chicory seed\"},\n {\"box_2d\": [404, 604, 449, 633], \"label\": \"chicory seed\"},\n {\"box_2d\": [407, 770, 444, 807], \"label\": \"chicory seed\"},\n {\"box_2d\": [408, 832, 433, 875], \"label\": \"chicory seed\"},\n {\"box_2d\": [409, 675, 432, 720], \"label\": \"chicory seed\"},\n {\"box_2d\": [410, 336, 438, 379], \"label\": \"chicory seed\"},\n {\"box_2d\": [415, 114, 453, 141], \"label\": \"chicory seed\"},\n {\"box_2d\": [421, 744, 464, 769], \"label\": \"chicory seed\"},\n {\"box_2d\": [423, 652, 464, 683], \"label\": \"chicory seed\"},\n {\"box_2d\": [424, 793, 451, 836], \"label\": \"chicory seed\"},\n {\"box_2d\": [424, 849, 451, 892], \"label\": \"chicory seed\"},\n {\"box_2d\": [427, 677, 458, 717], \"label\": \"chicory seed\"},\n {\"box_2d\": [429, 281, 457, 323], \"label\": \"chicory seed\"},\n {\"box_2d\": [438, 317, 479, 350], \"label\": \"chicory seed\"},\n {\"box_2d\": [438, 706, 480, 745], \"label\": \"chicory seed\"},\n {\"box_2d\": [442, 390, 470, 431], \"label\": \"chicory seed\"},\n {\"box_2d\": [442, 501, 474, 543], \"label\": \"chicory seed\"},\n {\"box_2d\": [443, 636, 485, 663], \"label\": \"chicory seed\"},\n {\"box_2d\": [445, 336, 483, 373], \"label\": \"chicory seed\"},\n {\"box_2d\": [448, 291, 491, 326], \"label\": \"chicory seed\"},\n {\"box_2d\": [449, 855, 477, 897], \"label\": \"chicory seed\"},\n {\"box_2d\": [450, 440, 492, 469], \"label\": \"chicory seed\"},\n {\"box_2d\": [451, 798, 493, 825], \"label\": \"chicory seed\"},\n {\"box_2d\": [453, 251, 485, 291], \"label\": \"chicory seed\"},\n {\"box_2d\": [457, 183, 490, 226], \"label\": \"chicory seed\"},\n {\"box_2d\": [463, 827, 503, 859], \"label\": \"chicory seed\"},\n {\"box_2d\": [465, 664, 495, 707], \"label\": \"chicory seed\"},\n {\"box_2d\": [467, 484, 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{\"box_2d\": [568, 194, 611, 224], \"label\": \"chicory seed\"},\n {\"box_2d\": [571, 287, 601, 330], \"label\": \"chicory seed\"},\n {\"box_2d\": [573, 550, 605, 594], \"label\": \"chicory seed\"},\n {\"box_2d\": [573, 843, 612, 881], \"label\": \"chicory seed\"},\n {\"box_2d\": [574, 718, 615, 750], \"label\": \"chicory seed\"},\n {\"box_2d\": [576, 255, 616, 292], \"label\": \"chicory seed\"},\n {\"box_2d\": [584, 137, 617, 180], \"label\": \"chicory seed\"},\n {\"box_2d\": [592, 313, 620, 358], \"label\": \"chicory seed\"},\n {\"box_2d\": [593, 658, 622, 702], \"label\": \"chicory seed\"},\n {\"box_2d\": [596, 854, 635, 888], \"label\": \"chicory seed\"},\n {\"box_2d\": [597, 610, 641, 641], \"label\": \"chicory seed\"},\n {\"box_2d\": [598, 790, 636, 827], \"label\": \"chicory seed\"},\n {\"box_2d\": [602, 516, 640, 562], \"label\": \"chicory seed\"},\n {\"box_2d\": [603, 417, 636, 458], \"label\": \"chicory seed\"},\n {\"box_2d\": [603, 822, 644, 849], \"label\": \"chicory seed\"},\n {\"box_2d\": [606, 297, 645, 333], \"label\": \"chicory seed\"},\n {\"box_2d\": [606, 641, 642, 681], \"label\": \"chicory seed\"},\n {\"box_2d\": [607, 350, 636, 393], \"label\": \"chicory seed\"},\n {\"box_2d\": [607, 480, 648, 514], \"label\": \"chicory seed\"},\n {\"box_2d\": [609, 166, 637, 209], \"label\": \"chicory seed\"},\n {\"box_2d\": [618, 388, 657, 427], \"label\": \"chicory seed\"},\n {\"box_2d\": [626, 847, 668, 873], \"label\": \"chicory seed\"},\n {\"box_2d\": [629, 658, 664, 700], \"label\": \"chicory seed\"},\n {\"box_2d\": [632, 127, 672, 157], \"label\": \"chicory seed\"},\n {\"box_2d\": [634, 197, 671, 234], \"label\": \"chicory seed\"},\n {\"box_2d\": [635, 281, 674, 318], \"label\": \"chicory seed\"},\n {\"box_2d\": [635, 571, 673, 610], \"label\": \"chicory seed\"},\n {\"box_2d\": [636, 150, 679, 179], \"label\": \"chicory seed\"},\n {\"box_2d\": [636, 319, 677, 349], \"label\": \"chicory seed\"},\n {\"box_2d\": [637, 333, 670, 369], \"label\": 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\"label\": \"chicory seed\"},\n {\"box_2d\": [674, 235, 701, 281], \"label\": \"chicory seed\"},\n {\"box_2d\": [674, 419, 713, 455], \"label\": \"chicory seed\"},\n {\"box_2d\": [678, 561, 716, 601], \"label\": \"chicory seed\"},\n {\"box_2d\": [679, 756, 712, 797], \"label\": \"chicory seed\"},\n {\"box_2d\": [686, 220, 722, 261], \"label\": \"chicory seed\"},\n {\"box_2d\": [687, 490, 722, 533], \"label\": \"chicory seed\"},\n {\"box_2d\": [689, 700, 727, 738], \"label\": \"chicory seed\"},\n {\"box_2d\": [690, 798, 723, 842], \"label\": \"chicory seed\"},\n {\"box_2d\": [691, 341, 724, 378], \"label\": \"chicory seed\"},\n {\"box_2d\": [692, 607, 720, 652], \"label\": \"chicory seed\"},\n {\"box_2d\": [695, 304, 723, 346], \"label\": \"chicory seed\"},\n {\"box_2d\": [697, 168, 729, 211], \"label\": \"chicory seed\"},\n {\"box_2d\": [699, 540, 739, 568], \"label\": \"chicory seed\"},\n {\"box_2d\": [700, 370, 729, 413], \"label\": \"chicory seed\"},\n {\"box_2d\": [700, 736, 738, 773], \"label\": \"chicory seed\"},\n {\"box_2d\": [705, 260, 733, 305], \"label\": \"chicory seed\"},\n {\"box_2d\": [710, 771, 753, 798], \"label\": \"chicory seed\"},\n {\"box_2d\": [711, 186, 751, 223], \"label\": \"chicory seed\"},\n {\"box_2d\": [712, 415, 740, 458], \"label\": \"chicory seed\"},\n {\"box_2d\": [716, 565, 757, 599], \"label\": \"chicory seed\"},\n {\"box_2d\": [716, 593, 748, 637], \"label\": \"chicory seed\"},\n {\"box_2d\": [717, 346, 742, 392], \"label\": \"chicory seed\"},\n {\"box_2d\": [719, 302, 749, 346], \"label\": \"chicory seed\"},\n {\"box_2d\": [720, 459, 747, 504], \"label\": \"chicory seed\"},\n {\"box_2d\": [721, 719, 758, 758], \"label\": \"chicory seed\"},\n {\"box_2d\": [723, 204, 765, 239], \"label\": \"chicory seed\"},\n {\"box_2d\": [724, 646, 761, 686], \"label\": \"chicory seed\"},\n {\"box_2d\": [731, 380, 774, 410], \"label\": \"chicory seed\"},\n {\"box_2d\": [733, 264, 762, 306], \"label\": \"chicory seed\"},\n {\"box_2d\": [733, 408, 760, 452], \"label\": \"chicory seed\"},\n {\"box_2d\": [735, 358, 776, 384], \"label\": \"chicory seed\"},\n {\"box_2d\": [738, 693, 765, 738], \"label\": \"chicory seed\"},\n {\"box_2d\": [739, 535, 782, 564], \"label\": \"chicory seed\"},\n {\"box_2d\": [741, 225, 776, 263], \"label\": \"chicory seed\"},\n {\"box_2d\": [742, 299, 784, 324], \"label\": \"chicory seed\"},\n {\"box_2d\": [747, 320, 787, 344], \"label\": \"chicory seed\"},\n {\"box_2d\": [751, 628, 793, 659], \"label\": \"chicory seed\"},\n {\"box_2d\": [752, 240, 792, 269], \"label\": \"chicory seed\"},\n {\"box_2d\": [752, 391, 794, 422], \"label\": \"chicory seed\"},\n {\"box_2d\": [753, 509, 792, 549], \"label\": \"chicory seed\"},\n {\"box_2d\": [755, 334, 797, 363], \"label\": \"chicory seed\"},\n {\"box_2d\": [756, 559, 792, 600], \"label\": \"chicory seed\"},\n {\"box_2d\": [758, 421, 800, 453], \"label\": \"chicory seed\"},\n {\"box_2d\": [759, 727, 797, 765], \"label\": \"chicory seed\"},\n {\"box_2d\": [760, 264, 786, 307], \"label\": \"chicory seed\"},\n {\"box_2d\": [760, 458, 802, 487], \"label\": \"chicory seed\"},\n {\"box_2d\": [761, 657, 793, 698], \"label\": \"chicory seed\"},\n {\"box_2d\": [764, 693, 805, 725], \"label\": \"chicory seed\"},\n {\"box_2d\": [774, 352, 799, 393], \"label\": \"chicory seed\"},\n {\"box_2d\": [775, 397, 814, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [777, 253, 811, 294], \"label\": \"chicory seed\"},\n {\"box_2d\": [779, 495, 815, 537], \"label\": \"chicory seed\"},\n {\"box_2d\": [784, 292, 818, 333], \"label\": \"chicory seed\"},\n {\"box_2d\": [795, 359, 826, 399], \"label\": \"chicory seed\"},\n {\"box_2d\": [796, 334, 836, 368], \"label\": \"chicory seed\"},\n {\"box_2d\": [796, 552, 829, 594], \"label\": \"chicory seed\"},\n {\"box_2d\": [796, 661, 829, 703], \"label\": \"chicory seed\"},\n {\"box_2d\": [803, 432, 833, 476], \"label\": \"chicory seed\"},\n {\"box_2d\": [804, 697, 836, 740], \"label\": \"chicory seed\"},\n {\"box_2d\": [806, 310, 848, 339], \"label\": \"chicory seed\"},\n {\"box_2d\": [814, 521, 856, 550], \"label\": \"chicory seed\"},\n {\"box_2d\": [819, 386, 862, 414], \"label\": \"chicory seed\"},\n {\"box_2d\": [823, 361, 865, 389], \"label\": \"chicory seed\"},\n {\"box_2d\": [825, 659, 856, 702], \"label\": \"chicory seed\"},\n {\"box_2d\": [828, 441, 857, 486], \"label\": \"chicory seed\"},\n {\"box_2d\": [830, 556, 860, 603], \"label\": \"chicory seed\"},\n {\"box_2d\": [841, 610, 871, 655], \"label\": \"chicory seed\"},\n {\"box_2d\": [858, 413, 885, 464], \"label\": \"chicory seed\"},\n {\"box_2d\": [860, 500, 886, 546], \"label\": \"chicory seed\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 18498, "elapsed_seconds": 150.6649692079518, "metadata": {"match_method": "map", "num_predictions": 291, "num_ground_truth": 291, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3465346395969391, "attempts": 3, "retries": 2, "total_seconds": 279.1438, "transient_errors": ["RemoteProtocolError", "RemoteProtocolError"]}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 245, "image": "DJI_0271_JPG_jpg.rf.58c0e5179915be4446df421b02825d3d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 360, 1000, 626], \"label\": \"tower crane\"},\n {\"box_2d\": [549, 790, 712, 915], \"label\": \"excavator\"},\n {\"box_2d\": [321, 680, 357, 733], \"label\": \"excavator\"},\n {\"box_2d\": [264, 86, 314, 130], \"label\": \"excavator\"},\n {\"box_2d\": [223, 83, 279, 114], \"label\": \"excavator\"},\n {\"box_2d\": [184, 790, 233, 828], \"label\": \"dump truck\"}\n]\n```", "correct": true, "input_tokens": 1206, "output_tokens": 1810, "elapsed_seconds": 37.98580583301373, "metadata": {"match_method": "map", "num_predictions": 6, "num_ground_truth": 6, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 38.8838}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 246, "image": "IMG_3900_JPG.rf.5ee75659ac02193213ba7636038947a4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [405, 154, 477, 264], \"label\": \"500 poker chip\"},\n {\"box_2d\": [500, 92, 581, 211], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [513, 205, 596, 324], \"label\": \"100 poker chip\"},\n {\"box_2d\": [591, 135, 681, 262], \"label\": \"10 poker chip\"},\n {\"box_2d\": [416, 265, 488, 376], \"label\": \"10 poker chip\"},\n {\"box_2d\": [358, 320, 425, 426], \"label\": \"10 poker chip\"},\n {\"box_2d\": [469, 326, 545, 439], \"label\": \"500 poker chip\"},\n {\"box_2d\": [566, 285, 654, 407], \"label\": \"10 poker chip\"},\n {\"box_2d\": [525, 393, 608, 511], \"label\": \"10 poker chip\"},\n {\"box_2d\": [631, 355, 728, 483], \"label\": \"10 poker chip\"},\n {\"box_2d\": [698, 250, 803, 385], \"label\": \"20 poker chip\"},\n {\"box_2d\": [718, 398, 825, 534], \"label\": \"10 poker chip\"},\n {\"box_2d\": [427, 422, 502, 532], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [368, 485, 436, 592], \"label\": \"5 poker chip\"},\n {\"box_2d\": [326, 566, 391, 669], \"label\": \"50 poker chip\"},\n {\"box_2d\": [393, 638, 464, 748], \"label\": \"10000 poker chip\"},\n {\"box_2d\": [458, 682, 535, 798], \"label\": \"50 poker chip\"},\n {\"box_2d\": [482, 489, 561, 603], \"label\": \"100 poker chip\"},\n {\"box_2d\": [503, 599, 584, 717], \"label\": \"100 poker chip\"},\n {\"box_2d\": [540, 740, 624, 864], \"label\": \"100 poker chip\"},\n {\"box_2d\": [624, 738, 718, 868], \"label\": \"100 poker chip\"},\n {\"box_2d\": [581, 616, 672, 741], \"label\": \"5 poker chip\"},\n {\"box_2d\": [593, 470, 685, 593], \"label\": \"50 poker chip\"},\n {\"box_2d\": [689, 638, 793, 773], \"label\": \"100 poker chip\"},\n {\"box_2d\": [743, 529, 853, 667], \"label\": \"100 poker chip\"}\n]\n```", "correct": true, "input_tokens": 1252, "output_tokens": 2601, "elapsed_seconds": 28.2244310840033, "metadata": {"match_method": "map", "num_predictions": 25, "num_ground_truth": 25, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 28.8285}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 247, "image": "9AAEA6F5-FD0E-47BE-8596-0D85E5F62F1A_jpg.rf.7b7e8cbfdfc78f2c2cad6219290c51d6.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [136, 181, 189, 266], \"label\": \"pill\"},\n {\"box_2d\": [169, 212, 209, 300], \"label\": \"pill\"},\n {\"box_2d\": [138, 268, 195, 350], \"label\": \"pill\"},\n {\"box_2d\": [164, 410, 245, 455], \"label\": \"pill\"},\n {\"box_2d\": [165, 466, 236, 535], \"label\": \"pill\"},\n {\"box_2d\": [161, 541, 207, 623], \"label\": \"pill\"},\n {\"box_2d\": [91, 728, 174, 766], \"label\": \"pill\"},\n {\"box_2d\": [155, 686, 224, 757], \"label\": \"pill\"},\n {\"box_2d\": [262, 206, 344, 259], \"label\": \"pill\"},\n {\"box_2d\": [381, 186, 449, 264], \"label\": \"pill\"},\n {\"box_2d\": [447, 166, 536, 209], \"label\": \"pill\"},\n {\"box_2d\": [496, 251, 574, 323], \"label\": \"pill\"},\n {\"box_2d\": [442, 327, 530, 376], \"label\": \"pill\"},\n {\"box_2d\": [450, 359, 537, 408], \"label\": \"pill\"},\n {\"box_2d\": [464, 444, 539, 513], \"label\": \"pill\"},\n {\"box_2d\": [520, 388, 560, 476], \"label\": \"pill\"},\n {\"box_2d\": [555, 353, 591, 445], \"label\": \"pill\"},\n {\"box_2d\": [601, 361, 692, 400], \"label\": \"pill\"},\n {\"box_2d\": [695, 285, 752, 376], \"label\": \"pill\"},\n {\"box_2d\": [793, 288, 845, 382], \"label\": \"pill\"},\n {\"box_2d\": [245, 372, 301, 453], \"label\": \"pill\"},\n {\"box_2d\": [296, 433, 381, 484], \"label\": \"pill\"},\n {\"box_2d\": [286, 472, 342, 553], \"label\": \"pill\"},\n {\"box_2d\": [320, 485, 378, 565], \"label\": \"pill\"},\n {\"box_2d\": [351, 521, 435, 569], \"label\": \"pill\"},\n {\"box_2d\": [315, 566, 401, 601], \"label\": \"pill\"},\n {\"box_2d\": [312, 599, 398, 633], \"label\": \"pill\"},\n {\"box_2d\": [337, 628, 423, 663], \"label\": \"pill\"},\n {\"box_2d\": [333, 661, 420, 696], \"label\": \"pill\"},\n {\"box_2d\": [296, 688, 380, 723], \"label\": \"pill\"},\n {\"box_2d\": [294, 721, 376, 777], \"label\": \"pill\"},\n {\"box_2d\": [360, 706, 445, 753], \"label\": \"pill\"},\n {\"box_2d\": [376, 738, 463, 779], \"label\": \"pill\"},\n {\"box_2d\": [402, 528, 470, 604], \"label\": \"pill\"},\n {\"box_2d\": [441, 549, 513, 622], \"label\": \"pill\"},\n {\"box_2d\": [466, 574, 530, 653], \"label\": \"pill\"},\n {\"box_2d\": [519, 619, 598, 685], \"label\": \"pill\"},\n {\"box_2d\": [468, 727, 549, 789], \"label\": \"pill\"},\n {\"box_2d\": [554, 685, 643, 731], \"label\": \"pill\"},\n {\"box_2d\": [587, 725, 673, 781], \"label\": \"pill\"},\n {\"box_2d\": [562, 749, 648, 805], \"label\": \"pill\"},\n {\"box_2d\": [684, 638, 726, 729], \"label\": \"pill\"},\n {\"box_2d\": [719, 640, 765, 731], \"label\": \"pill\"},\n {\"box_2d\": [756, 631, 801, 723], \"label\": \"pill\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 4113, "elapsed_seconds": 36.355655750026926, "metadata": {"match_method": "map", "num_predictions": 44, "num_ground_truth": 44, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 36.8097}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 248, "image": "DJI_0237_JPG_jpg.rf.cb5e6b368dca69cc9b7bc36fb47fd6fb.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [584, 557, 750, 623], \"label\": \"excavator\"},\n {\"box_2d\": [381, 864, 434, 949], \"label\": \"concrete mixer\"},\n {\"box_2d\": [253, 538, 297, 559], \"label\": \"concrete mixer\"},\n {\"box_2d\": [298, 179, 333, 231], \"label\": \"dump truck\"},\n {\"box_2d\": [274, 226, 305, 274], \"label\": \"dump truck\"},\n {\"box_2d\": [254, 922, 699, 1000], \"label\": \"tower crane\"},\n {\"box_2d\": [0, 833, 229, 984], \"label\": \"tower crane\"}\n]\n```", "correct": true, "input_tokens": 1209, "output_tokens": 3749, "elapsed_seconds": 59.336707999929786, "metadata": {"match_method": "map", "num_predictions": 7, "num_ground_truth": 7, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 60.2029}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 249, "image": "42ba34_9_9_png_jpg.rf.30ad6b17178011a7360591145cf422a2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [381, 20, 419, 30], \"label\": \"goalkeeper\"},\n {\"box_2d\": [466, 165, 513, 181], \"label\": \"player\"},\n {\"box_2d\": [477, 199, 526, 211], \"label\": \"player\"},\n {\"box_2d\": [612, 256, 667, 270], \"label\": \"player\"},\n {\"box_2d\": [588, 315, 639, 328], \"label\": \"player\"},\n {\"box_2d\": [368, 307, 405, 321], \"label\": \"player\"},\n {\"box_2d\": [355, 319, 396, 330], \"label\": \"player\"},\n {\"box_2d\": [300, 409, 333, 417], \"label\": \"player\"},\n {\"box_2d\": [508, 437, 561, 449], \"label\": \"player\"},\n {\"box_2d\": [400, 452, 440, 464], \"label\": \"player\"},\n {\"box_2d\": [407, 455, 451, 468], \"label\": \"player\"},\n {\"box_2d\": [381, 479, 420, 496], \"label\": \"player\"},\n {\"box_2d\": [383, 478, 392, 483], \"label\": \"football\"},\n {\"box_2d\": [421, 479, 468, 490], \"label\": \"referee\"},\n {\"box_2d\": [471, 502, 520, 520], \"label\": \"player\"},\n {\"box_2d\": [312, 566, 346, 578], \"label\": \"player\"},\n {\"box_2d\": [399, 590, 444, 601], \"label\": \"player\"},\n {\"box_2d\": [323, 657, 360, 669], \"label\": \"player\"},\n {\"box_2d\": [385, 715, 425, 725], \"label\": \"player\"},\n {\"box_2d\": [397, 716, 442, 726], \"label\": \"player\"},\n {\"box_2d\": [444, 673, 491, 686], \"label\": \"player\"},\n {\"box_2d\": [544, 697, 599, 715], \"label\": \"player\"},\n {\"box_2d\": [614, 677, 675, 695], \"label\": \"player\"},\n {\"box_2d\": [755, 890, 822, 912], \"label\": \"referee\"},\n {\"box_2d\": [383, 991, 421, 1000], \"label\": \"goalkeeper\"}\n]\n```", "correct": false, "input_tokens": 1242, "output_tokens": 3220, "elapsed_seconds": 29.573212083079852, "metadata": {"match_method": "map", "num_predictions": 25, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6658415794372559, "attempts": 1, "retries": 0, "total_seconds": 29.6615}} diff --git a/results/detection_gemini-4-argon-eap_low_20261013_070835.jsonl b/results/detection_gemini-4-argon-eap_low_20261013_070835.jsonl deleted file mode 100644 index 967d776..0000000 --- a/results/detection_gemini-4-argon-eap_low_20261013_070835.jsonl +++ /dev/null @@ -1,250 +0,0 @@ -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 0, "image": "Screenshot-2024-05-16-144612_png.rf.ae5a345319058fdba768605388143544.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [774, 700, 804, 735], \"label\": \"bullet hole\"},\n {\"box_2d\": [954, 687, 987, 725], \"label\": \"bullet hole\"},\n {\"box_2d\": [953, 888, 983, 919], \"label\": \"bullet hole\"},\n {\"box_2d\": [838, 888, 867, 919], \"label\": \"bullet hole\"},\n {\"box_2d\": [832, 570, 862, 608], \"label\": \"bullet hole\"},\n {\"box_2d\": [817, 456, 848, 490], \"label\": \"bullet hole\"},\n {\"box_2d\": [864, 430, 895, 462], \"label\": \"bullet hole\"},\n {\"box_2d\": [648, 390, 677, 424], \"label\": \"bullet hole\"},\n {\"box_2d\": [562, 461, 596, 495], \"label\": \"bullet hole\"},\n {\"box_2d\": [517, 822, 548, 856], \"label\": \"bullet hole\"},\n {\"box_2d\": [572, 885, 606, 919], \"label\": \"bullet hole\"},\n {\"box_2d\": [526, 964, 558, 998], \"label\": \"bullet hole\"},\n {\"box_2d\": [454, 888, 487, 922], \"label\": \"bullet hole\"},\n {\"box_2d\": [414, 966, 448, 1000], \"label\": \"bullet hole\"},\n {\"box_2d\": [400, 756, 432, 790], \"label\": \"bullet hole\"},\n {\"box_2d\": [361, 546, 391, 579], \"label\": \"bullet hole\"},\n {\"box_2d\": [286, 546, 319, 579], \"label\": \"bullet hole\"},\n {\"box_2d\": [210, 548, 241, 580], \"label\": \"bullet hole\"},\n {\"box_2d\": [117, 830, 146, 861], \"label\": \"bullet hole\"},\n {\"box_2d\": [272, 830, 300, 859], \"label\": \"bullet hole\"},\n {\"box_2d\": [159, 258, 193, 291], \"label\": \"bullet hole\"},\n {\"box_2d\": [239, 270, 270, 301], \"label\": \"bullet hole\"},\n {\"box_2d\": [348, 283, 380, 316], \"label\": \"bullet hole\"},\n {\"box_2d\": [414, 290, 448, 326], \"label\": \"bullet hole\"},\n {\"box_2d\": [612, 68, 643, 100], \"label\": \"bullet hole\"},\n {\"box_2d\": [701, 309, 729, 336], \"label\": \"bullet hole\"},\n {\"box_2d\": [817, 229, 851, 261], \"label\": \"bullet hole\"},\n {\"box_2d\": [890, 155, 916, 185], \"label\": \"bullet hole\"},\n {\"box_2d\": [832, 38, 861, 72], \"label\": \"bullet hole\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 1025, "elapsed_seconds": 10.92837049998343, "metadata": {"match_method": "map", "num_predictions": 29, "num_ground_truth": 29, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 10.9597}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 1, "image": "img_462887999701516572_png.rf.318af6a4e9ad42c15e8fcc520375ad9b.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [723, 114, 819, 286], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [647, 130, 725, 303], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [576, 155, 648, 320], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [512, 179, 581, 333], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [453, 198, 521, 342], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [399, 217, 468, 353], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [351, 237, 419, 363], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [306, 255, 372, 371], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [289, 367, 350, 479], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [332, 356, 396, 474], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [380, 349, 449, 471], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [432, 333, 501, 463], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [489, 323, 558, 462], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [552, 311, 622, 459], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [618, 293, 692, 449], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [691, 274, 779, 440], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [735, 413, 829, 576], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [658, 427, 738, 582], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [588, 437, 659, 587], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [523, 446, 591, 587], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [463, 451, 529, 585], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [408, 456, 473, 583], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [357, 463, 419, 584], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [310, 469, 369, 583], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [293, 574, 358, 687], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [338, 574, 402, 693], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [387, 571, 455, 694], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [441, 570, 511, 701], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [499, 571, 570, 712], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [565, 570, 636, 718], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [633, 567, 708, 725], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [705, 565, 797, 731], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [737, 721, 835, 902], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [661, 710, 744, 888], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [592, 699, 665, 868], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [527, 697, 596, 855], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [466, 689, 535, 838], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [409, 685, 480, 827], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [360, 683, 427, 813], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [314, 680, 378, 800], \"label\": \"full portable gas cylinder\"}\n]\n```", "correct": true, "input_tokens": 1217, "output_tokens": 1492, "elapsed_seconds": 16.636890499969013, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 40, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 17.0424}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 2, "image": "basketball-player-detection_boston-celtics-new-york-knicks-game-1-q1-03-16-03-11-0135_png.rf.87404d3bb76bef98d9e926e5ec1e2966.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [266, 290, 300, 307], \"label\": \"basketball\"},\n {\"box_2d\": [269, 306, 291, 336], \"label\": \"basket rim\"},\n {\"box_2d\": [278, 319, 624, 381], \"label\": \"player doing layup dunk\"},\n {\"box_2d\": [278, 319, 624, 381], \"label\": \"player\"},\n {\"box_2d\": [393, 283, 643, 391], \"label\": \"player\"},\n {\"box_2d\": [368, 370, 594, 434], \"label\": \"player\"},\n {\"box_2d\": [459, 412, 704, 488], \"label\": \"player\"},\n {\"box_2d\": [630, 348, 902, 416], \"label\": \"player\"},\n {\"box_2d\": [836, 411, 1000, 471], \"label\": \"referee\"},\n {\"box_2d\": [273, 672, 505, 736], \"label\": \"player\"},\n {\"box_2d\": [410, 800, 689, 850], \"label\": \"player\"},\n {\"box_2d\": [656, 725, 952, 821], \"label\": \"player\"},\n {\"box_2d\": [746, 879, 998, 965], \"label\": \"player\"},\n {\"box_2d\": [704, 377, 735, 391], \"label\": \"jersey number\"},\n {\"box_2d\": [526, 454, 550, 463], \"label\": \"jersey number\"},\n {\"box_2d\": [336, 706, 358, 713], \"label\": \"jersey number\"},\n {\"box_2d\": [729, 777, 761, 801], \"label\": \"jersey number\"},\n {\"box_2d\": [898, 429, 924, 444], \"label\": \"jersey number\"},\n {\"box_2d\": [278, 263, 472, 304], \"label\": \"referee\"}\n]\n```", "correct": false, "input_tokens": 1256, "output_tokens": 671, "elapsed_seconds": 9.706936832983047, "metadata": {"match_method": "map", "num_predictions": 19, "num_ground_truth": 19, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6701241135597229, "attempts": 1, "retries": 0, "total_seconds": 9.8754}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 3, "image": "fall-detection_all_mp4-1653_jpg.rf.9fa9a5ca42070b76929d3ba6ab91e945.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [468, 353, 539, 512], \"label\": \"fallen person\"},\n {\"box_2d\": [512, 429, 623, 591], \"label\": \"fallen person\"},\n {\"box_2d\": [417, 212, 483, 339], \"label\": \"fallen person\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 117, "elapsed_seconds": 4.734725208953023, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 4.7617}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 4, "image": "Screenshot-2024-05-16-150857_png.rf.d53edfaec65ba17dbc56ff856e70ed0d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [779, 365, 811, 396], \"label\": \"bullet hole\"},\n {\"box_2d\": [921, 631, 950, 661], \"label\": \"bullet hole\"},\n {\"box_2d\": [797, 228, 830, 258], \"label\": \"bullet hole\"},\n {\"box_2d\": [294, 63, 325, 92], \"label\": \"bullet hole\"},\n {\"box_2d\": [338, 323, 369, 353], \"label\": \"bullet hole\"},\n {\"box_2d\": [891, 185, 921, 214], \"label\": \"bullet hole\"},\n {\"box_2d\": [608, 879, 638, 908], \"label\": \"bullet hole\"},\n {\"box_2d\": [26, 463, 52, 488], \"label\": \"bullet hole\"},\n {\"box_2d\": [162, 619, 189, 648], \"label\": \"bullet hole\"},\n {\"box_2d\": [70, 630, 97, 659], \"label\": \"bullet hole\"},\n {\"box_2d\": [59, 519, 86, 548], \"label\": \"bullet hole\"},\n {\"box_2d\": [111, 825, 141, 855], \"label\": \"bullet hole\"},\n {\"box_2d\": [138, 209, 165, 237], \"label\": \"bullet hole\"},\n {\"box_2d\": [468, 142, 498, 170], \"label\": \"bullet hole\"},\n {\"box_2d\": [546, 964, 575, 993], \"label\": \"bullet hole\"},\n {\"box_2d\": [614, 407, 646, 436], \"label\": \"bullet hole\"},\n {\"box_2d\": [682, 267, 713, 297], \"label\": \"bullet hole\"},\n {\"box_2d\": [709, 567, 740, 597], \"label\": \"bullet hole\"},\n {\"box_2d\": [691, 722, 720, 752], \"label\": \"bullet hole\"},\n {\"box_2d\": [811, 811, 839, 838], \"label\": \"bullet hole\"},\n {\"box_2d\": [953, 976, 984, 1000], \"label\": \"bullet hole\"},\n {\"box_2d\": [437, 311, 467, 339], \"label\": \"bullet hole\"},\n {\"box_2d\": [520, 543, 550, 571], \"label\": \"bullet hole\"},\n {\"box_2d\": [436, 672, 464, 701], \"label\": \"bullet hole\"},\n {\"box_2d\": [208, 889, 237, 918], \"label\": \"bullet hole\"},\n {\"box_2d\": [117, 321, 149, 350], \"label\": \"bullet hole\"},\n {\"box_2d\": [408, 922, 437, 948], \"label\": \"bullet hole\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 950, "elapsed_seconds": 10.903735624975525, "metadata": {"match_method": "map", "num_predictions": 27, "num_ground_truth": 32, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8415841460227966, "attempts": 1, "retries": 0, "total_seconds": 10.9315}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 5, "image": "oil-tank-detection_oiltank_9_jpg.rf.acb372553a5f5f447313e4035eef562f.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [117, 100, 232, 200], \"label\": \"oil tank\"},\n {\"box_2d\": [115, 229, 234, 333], \"label\": \"oil tank\"},\n {\"box_2d\": [108, 360, 224, 469], \"label\": \"oil tank\"},\n {\"box_2d\": [105, 494, 217, 601], \"label\": \"oil tank\"},\n {\"box_2d\": [99, 628, 214, 735], \"label\": \"oil tank\"},\n {\"box_2d\": [95, 761, 209, 868], \"label\": \"oil tank\"},\n {\"box_2d\": [274, 100, 391, 205], \"label\": \"oil tank\"},\n {\"box_2d\": [266, 233, 386, 337], \"label\": \"oil tank\"},\n {\"box_2d\": [258, 366, 381, 472], \"label\": \"oil tank\"},\n {\"box_2d\": [254, 502, 375, 606], \"label\": \"oil tank\"},\n {\"box_2d\": [248, 634, 370, 740], \"label\": \"oil tank\"},\n {\"box_2d\": [244, 769, 366, 875], \"label\": \"oil tank\"},\n {\"box_2d\": [485, 96, 610, 207], \"label\": \"oil tank\"},\n {\"box_2d\": [481, 233, 605, 342], \"label\": \"oil tank\"},\n {\"box_2d\": [474, 369, 602, 477], \"label\": \"oil tank\"},\n {\"box_2d\": [470, 504, 594, 614], \"label\": \"oil tank\"},\n {\"box_2d\": [461, 643, 587, 749], \"label\": \"oil tank\"},\n {\"box_2d\": [626, 366, 758, 483], \"label\": \"oil tank\"},\n {\"box_2d\": [621, 510, 749, 621], \"label\": \"oil tank\"},\n {\"box_2d\": [618, 650, 742, 756], \"label\": \"oil tank\"}\n]\n```", "correct": true, "input_tokens": 1217, "output_tokens": 709, "elapsed_seconds": 9.944074833998457, "metadata": {"match_method": "map", "num_predictions": 20, "num_ground_truth": 20, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 10.042}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 6, "image": "signatures_image_38_png_jpg.rf.1d9c4bd922f8563e58275de808cd3984.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [363, 748, 412, 929], \"label\": \"signature\"},\n {\"box_2d\": [437, 646, 467, 701], \"label\": \"signature\"},\n {\"box_2d\": [949, 635, 982, 694], \"label\": \"signature\"},\n {\"box_2d\": [860, 761, 916, 949], \"label\": \"signature\"}\n]\n```", "correct": true, "input_tokens": 1211, "output_tokens": 148, "elapsed_seconds": 3.890413707937114, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 3.9199}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 7, "image": "1704193901210_jpg.rf.2395376f26cee29d85e60b22c59c37b4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [578, 263, 635, 304], \"label\": \"corn kernel\"},\n {\"box_2d\": [404, 316, 471, 370], \"label\": \"corn kernel\"},\n {\"box_2d\": [266, 411, 325, 469], \"label\": \"corn kernel\"},\n {\"box_2d\": [539, 425, 588, 488], \"label\": \"corn kernel\"},\n {\"box_2d\": [617, 563, 675, 610], \"label\": \"corn kernel\"},\n {\"box_2d\": [309, 528, 353, 600], \"label\": \"corn kernel\"},\n {\"box_2d\": [416, 617, 475, 681], \"label\": \"corn kernel\"},\n {\"box_2d\": [531, 654, 581, 728], \"label\": \"corn kernel\"},\n {\"box_2d\": [454, 784, 500, 845], \"label\": \"corn kernel\"},\n {\"box_2d\": [514, 770, 577, 813], \"label\": \"corn kernel\"},\n {\"box_2d\": [609, 748, 657, 807], \"label\": \"corn kernel\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 397, "elapsed_seconds": 5.80299691692926, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 5.8231}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 8, "image": "IMG_0620_jpeg.rf.0c9c3b0a23079483a0b0e1651801d9a9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [291, 383, 367, 474], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [281, 511, 376, 583], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [284, 581, 391, 644], \"label\": \"caramel corn jelly bean\"},\n {\"box_2d\": [381, 510, 488, 594], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [507, 331, 643, 413], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [399, 389, 501, 480], \"label\": \"peach jelly bean\"},\n {\"box_2d\": [377, 265, 492, 329], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [489, 513, 613, 594], \"label\": \"peach jelly bean\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 315, "elapsed_seconds": 12.946119458065368, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 12.9954}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 9, "image": "paper-parts_163482_102_jpg.rf.d878bfe8193ad78ee6e9bd012ea9324e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [93, 118, 108, 573], \"label\": \"subsection\"},\n {\"box_2d\": [127, 118, 141, 707], \"label\": \"paragraph\"},\n {\"box_2d\": [196, 333, 344, 670], \"label\": \"figure\"},\n {\"box_2d\": [368, 341, 383, 658], \"label\": \"figure caption\"},\n {\"box_2d\": [432, 118, 446, 493], \"label\": \"subsection\"},\n {\"box_2d\": [467, 118, 512, 862], \"label\": \"paragraph\"},\n {\"box_2d\": [529, 333, 575, 666], \"label\": \"equation\"},\n {\"box_2d\": [581, 421, 616, 578], \"label\": \"equation\"},\n {\"box_2d\": [624, 118, 637, 613], \"label\": \"paragraph\"},\n {\"box_2d\": [654, 338, 700, 661], \"label\": \"equation\"},\n {\"box_2d\": [706, 430, 741, 569], \"label\": \"equation\"},\n {\"box_2d\": [749, 118, 762, 548], \"label\": \"paragraph\"},\n {\"box_2d\": [780, 329, 825, 670], \"label\": \"equation\"},\n {\"box_2d\": [832, 430, 867, 569], \"label\": \"equation\"},\n {\"box_2d\": [923, 491, 936, 509], \"label\": \"page number\"}\n]\n```", "correct": false, "input_tokens": 1250, "output_tokens": 523, "elapsed_seconds": 9.256499707931653, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 14, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7301979660987854, "attempts": 1, "retries": 0, "total_seconds": 9.2983}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 10, "image": "20210325_203432_jpg.rf.8eb2129f7a101d085f4cb925da755682.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [103, 275, 311, 480], \"label\": \"50 euro cent coin\"},\n {\"box_2d\": [134, 614, 294, 773], \"label\": \"2 euro cent coin\"},\n {\"box_2d\": [331, 661, 520, 850], \"label\": \"20 euro cent coin\"},\n {\"box_2d\": [291, 462, 458, 630], \"label\": \"10 euro cent coin\"},\n {\"box_2d\": [377, 162, 577, 361], \"label\": \"1 euro coin\"},\n {\"box_2d\": [536, 419, 675, 555], \"label\": \"1 euro cent coin\"},\n {\"box_2d\": [702, 205, 881, 383], \"label\": \"5 euro cent coin\"},\n {\"box_2d\": [650, 544, 869, 761], \"label\": \"2 euro coin\"}\n]\n```", "correct": true, "input_tokens": 1272, "output_tokens": 309, "elapsed_seconds": 7.0861332500353456, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 7.1251}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 11, "image": "2024-12-05T02-01-20-119Z-4010_jpg.rf.4f789285ff5c3a1889420326440bc9d1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [457, 451, 616, 571], \"label\": \"screw\"},\n {\"box_2d\": [829, 699, 907, 757], \"label\": \"screw\"},\n {\"box_2d\": [375, 483, 439, 531], \"label\": \"wire hole\"},\n {\"box_2d\": [633, 490, 697, 538], \"label\": \"wire hole\"}\n]\n```", "correct": false, "input_tokens": 1203, "output_tokens": 150, "elapsed_seconds": 10.108299957937561, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.08415841311216354, "attempts": 1, "retries": 0, "total_seconds": 10.3188}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 12, "image": "Container-146_jpg.rf.1f5b3bfa7143f6b016b2b85ca3940e5c.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [160, 611, 203, 916], \"label\": \"shipping container number\"},\n {\"box_2d\": [213, 748, 250, 824], \"label\": \"container ISO type code\"}\n]\n```", "correct": true, "input_tokens": 1232, "output_tokens": 85, "elapsed_seconds": 3.7681142499204725, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 3.7846}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 13, "image": "GP010248_JPG_jpg.rf.c2ac2602f1905971af1173c3ba311542.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [244, 756, 474, 825], \"label\": \"carrot\"},\n {\"box_2d\": [367, 795, 581, 931], \"label\": \"carrot\"},\n {\"box_2d\": [535, 709, 646, 850], \"label\": \"carrot\"},\n {\"box_2d\": [422, 659, 549, 795], \"label\": \"carrot\"},\n {\"box_2d\": [438, 566, 587, 711], \"label\": \"carrot\"},\n {\"box_2d\": [606, 569, 652, 717], \"label\": \"carrot\"},\n {\"box_2d\": [219, 616, 330, 761], \"label\": \"carrot\"},\n {\"box_2d\": [306, 469, 337, 686], \"label\": \"carrot\"},\n {\"box_2d\": [336, 544, 367, 716], \"label\": \"carrot\"},\n {\"box_2d\": [354, 480, 415, 681], \"label\": \"carrot\"},\n {\"box_2d\": [377, 439, 444, 620], \"label\": \"carrot\"},\n {\"box_2d\": [495, 447, 581, 600], \"label\": \"carrot\"},\n {\"box_2d\": [530, 452, 614, 570], \"label\": \"carrot\"},\n {\"box_2d\": [558, 473, 663, 673], \"label\": \"carrot\"},\n {\"box_2d\": [649, 416, 694, 584], \"label\": \"carrot\"},\n {\"box_2d\": [633, 278, 720, 473], \"label\": \"carrot\"},\n {\"box_2d\": [387, 367, 669, 455], \"label\": \"carrot\"},\n {\"box_2d\": [429, 372, 613, 412], \"label\": \"carrot\"},\n {\"box_2d\": [513, 339, 681, 381], \"label\": \"carrot\"},\n {\"box_2d\": [494, 264, 667, 366], \"label\": \"carrot\"},\n {\"box_2d\": [447, 223, 681, 331], \"label\": \"carrot\"},\n {\"box_2d\": [478, 186, 684, 278], \"label\": \"carrot\"},\n {\"box_2d\": [345, 228, 488, 442], \"label\": \"carrot\"},\n {\"box_2d\": [377, 142, 437, 344], \"label\": \"carrot\"},\n {\"box_2d\": [347, 117, 387, 359], \"label\": \"carrot\"},\n {\"box_2d\": [290, 181, 352, 412], \"label\": \"carrot\"},\n {\"box_2d\": [270, 278, 307, 458], \"label\": \"carrot\"},\n {\"box_2d\": [231, 300, 286, 495], \"label\": \"carrot\"},\n {\"box_2d\": [401, 117, 674, 189], \"label\": \"carrot\"},\n {\"box_2d\": [367, 39, 522, 150], \"label\": \"carrot\"},\n {\"box_2d\": [467, 28, 714, 142], \"label\": \"carrot\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 1064, "elapsed_seconds": 10.77296912507154, "metadata": {"match_method": "map", "num_predictions": 31, "num_ground_truth": 31, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 10.7988}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 14, "image": "DJI_20230529095953_0646_T_JPG_jpg.rf.9806615efd3123cda770b6e1a3358930.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [584, 370, 603, 381], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [576, 460, 596, 472], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [572, 504, 591, 517], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [557, 640, 579, 653], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [556, 686, 574, 697], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [174, 665, 196, 678], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [179, 620, 200, 633], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [221, 148, 241, 161], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [928, 814, 949, 827], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [924, 859, 944, 871], \"label\": \"solar panel hot spot\"}\n]\n```", "correct": false, "input_tokens": 1228, "output_tokens": 382, "elapsed_seconds": 6.8633204160723835, "metadata": {"match_method": "map", "num_predictions": 10, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6633663177490234, "attempts": 1, "retries": 0, "total_seconds": 6.8862}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 15, "image": "floorplan-windows-doors_1036_png.rf.377e8848ebf77a1b3fd4e54e9aaa327d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [771, 368, 845, 450], \"label\": \"door\"},\n {\"box_2d\": [769, 151, 786, 290], \"label\": \"window\"},\n {\"box_2d\": [773, 728, 793, 842], \"label\": \"window\"},\n {\"box_2d\": [769, 574, 790, 619], \"label\": \"window\"},\n {\"box_2d\": [445, 211, 500, 290], \"label\": \"door\"},\n {\"box_2d\": [493, 675, 550, 756], \"label\": \"door\"},\n {\"box_2d\": [557, 686, 615, 759], \"label\": \"door\"},\n {\"box_2d\": [659, 597, 728, 619], \"label\": \"door\"},\n {\"box_2d\": [332, 588, 378, 646], \"label\": \"door\"},\n {\"box_2d\": [319, 703, 377, 849], \"label\": \"door\"},\n {\"box_2d\": [111, 365, 248, 447], \"label\": \"door\"},\n {\"box_2d\": [117, 840, 254, 922], \"label\": \"door\"},\n {\"box_2d\": [163, 102, 180, 240], \"label\": \"window\"},\n {\"box_2d\": [164, 300, 183, 355], \"label\": \"window\"},\n {\"box_2d\": [168, 574, 186, 619], \"label\": \"window\"},\n {\"box_2d\": [171, 777, 190, 829], \"label\": \"window\"}\n]\n```", "correct": false, "input_tokens": 1211, "output_tokens": 556, "elapsed_seconds": 8.455970957991667, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 19, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7667766809463501, "attempts": 1, "retries": 0, "total_seconds": 8.5235}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 16, "image": "IMG_4942_JPG.rf.2d54601c43bd5fdd67c9d6de8428a9ef.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [298, 528, 316, 537], \"label\": \"face\"},\n {\"box_2d\": [300, 557, 316, 565], \"label\": \"face\"},\n {\"box_2d\": [301, 613, 316, 622], \"label\": \"face\"},\n {\"box_2d\": [298, 639, 315, 649], \"label\": \"face\"},\n {\"box_2d\": [326, 633, 344, 643], \"label\": \"face\"},\n {\"box_2d\": [336, 661, 353, 672], \"label\": \"face\"},\n {\"box_2d\": [348, 692, 366, 703], \"label\": \"face\"},\n {\"box_2d\": [356, 734, 372, 744], \"label\": \"face\"},\n {\"box_2d\": [362, 756, 378, 766], \"label\": \"face\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 318, "elapsed_seconds": 80.92041858297307, "metadata": {"match_method": "map", "num_predictions": 9, "num_ground_truth": 9, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 81.4177}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 17, "image": "4103433_ContLeftUpper_f_jpg.rf.c38c0a22d926bfd30646b27374a1f854.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [588, 100, 610, 125], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [596, 179, 618, 204], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [592, 151, 615, 176], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [489, 25, 509, 44], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [393, 21, 412, 43], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [328, 23, 353, 44], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [275, 103, 299, 123], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [319, 102, 344, 124], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [361, 103, 390, 123], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [398, 104, 415, 122], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [394, 181, 415, 203], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [332, 182, 357, 203], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [276, 183, 307, 204], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [328, 260, 353, 282], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [393, 262, 415, 281], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [394, 339, 417, 360], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [334, 340, 358, 361], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [280, 340, 297, 360], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [394, 420, 417, 440], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [401, 497, 422, 517], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [341, 497, 358, 517], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [283, 537, 299, 558], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [447, 695, 467, 717], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [275, 42, 293, 66], \"label\": \"shipping container wall dent\"}\n]\n```", "correct": false, "input_tokens": 1224, "output_tokens": 892, "elapsed_seconds": 31.439605250023305, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.003647733246907592, "attempts": 1, "retries": 0, "total_seconds": 31.5734}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 18, "image": "a9f16c_8_1_png_jpg.rf.21f65c07fc1fd4b937623a9b2c4bf919.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [274, 326, 306, 336], \"label\": \"player\"},\n {\"box_2d\": [397, 22, 439, 39], \"label\": \"goalkeeper\"},\n {\"box_2d\": [346, 272, 383, 284], \"label\": \"player\"},\n {\"box_2d\": [341, 298, 377, 308], \"label\": \"player\"},\n {\"box_2d\": [416, 232, 459, 245], \"label\": \"player\"},\n {\"box_2d\": [423, 288, 463, 301], \"label\": \"player\"},\n {\"box_2d\": [474, 206, 524, 226], \"label\": \"player\"},\n {\"box_2d\": [540, 207, 586, 225], \"label\": \"player\"},\n {\"box_2d\": [553, 190, 601, 214], \"label\": \"player\"},\n {\"box_2d\": [644, 278, 706, 298], \"label\": \"player\"},\n {\"box_2d\": [820, 280, 888, 300], \"label\": \"player\"},\n {\"box_2d\": [408, 403, 447, 417], \"label\": \"referee\"},\n {\"box_2d\": [442, 404, 490, 418], \"label\": \"player\"},\n {\"box_2d\": [306, 450, 348, 460], \"label\": \"player\"},\n {\"box_2d\": [304, 468, 342, 476], \"label\": \"player\"},\n {\"box_2d\": [373, 535, 414, 545], \"label\": \"player\"},\n {\"box_2d\": [423, 524, 471, 533], \"label\": \"player\"},\n {\"box_2d\": [501, 514, 551, 526], \"label\": \"player\"},\n {\"box_2d\": [595, 562, 650, 585], \"label\": \"player\"},\n {\"box_2d\": [340, 731, 376, 738], \"label\": \"player\"},\n {\"box_2d\": [342, 978, 385, 992], \"label\": \"goalkeeper\"},\n {\"box_2d\": [855, 956, 938, 978], \"label\": \"referee\"},\n {\"box_2d\": [643, 560, 656, 567], \"label\": \"football\"}\n]\n```", "correct": true, "input_tokens": 1242, "output_tokens": 796, "elapsed_seconds": 29.251404667040333, "metadata": {"match_method": "map", "num_predictions": 23, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8910890817642212, "attempts": 1, "retries": 0, "total_seconds": 29.3703}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 19, "image": "20230220_113558_jpg.rf.d5df52cc566f78f19b292c4a237d076c.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [757, 434, 954, 464], \"label\": \"crack\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 46, "elapsed_seconds": 5.451537624932826, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 5.4724}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 20, "image": "frame_0277_jpg.rf.c6aa8dac950a9954eaaa15c2c1350db2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 300, 44, 336], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 448, 49, 488], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 270, 39, 300], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 242, 36, 269], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 411, 47, 440], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [9, 129, 67, 171], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [27, 359, 85, 392], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [52, 429, 124, 464], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [4, 491, 49, 526], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [27, 526, 97, 559], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [5, 541, 46, 567], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 565, 51, 591], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [61, 270, 114, 296], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [134, 245, 193, 289], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [194, 127, 256, 177], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [165, 432, 224, 467], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [94, 626, 148, 659], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [210, 639, 276, 672], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [208, 530, 273, 571], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [328, 656, 390, 690], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [356, 586, 400, 611], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [310, 546, 366, 578], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [450, 584, 510, 622], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [456, 659, 515, 711], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [628, 687, 663, 734], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [540, 553, 623, 591], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [604, 436, 675, 482], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [868, 493, 916, 538], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [855, 217, 940, 263], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [443, 227, 526, 269], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [283, 237, 358, 281], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [336, 89, 404, 134], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [254, 367, 323, 407], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [333, 455, 408, 495], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [404, 465, 467, 507], \"label\": \"garlic on conveyor\"}\n]\n```", "correct": false, "input_tokens": 1238, "output_tokens": 1237, "elapsed_seconds": 21.59010849997867, "metadata": {"match_method": "map", "num_predictions": 35, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7428571581840515, "attempts": 1, "retries": 0, "total_seconds": 21.7236}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 21, "image": "construction-safety_ppe_0034_jpg.rf.38e91c4daafe26a0be27d2c1133af960.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [391, 631, 908, 729], \"label\": \"person\"},\n {\"box_2d\": [310, 134, 353, 183], \"label\": \"safety helmet\"},\n {\"box_2d\": [469, 646, 659, 728], \"label\": \"safety vest\"},\n {\"box_2d\": [410, 480, 908, 558], \"label\": \"person\"},\n {\"box_2d\": [392, 661, 439, 703], \"label\": \"safety helmet\"},\n {\"box_2d\": [387, 321, 435, 366], \"label\": \"safety helmet\"},\n {\"box_2d\": [370, 569, 413, 610], \"label\": \"safety helmet\"},\n {\"box_2d\": [448, 548, 690, 646], \"label\": \"safety vest\"},\n {\"box_2d\": [498, 483, 709, 557], \"label\": \"safety vest\"},\n {\"box_2d\": [416, 825, 624, 912], \"label\": \"safety vest\"},\n {\"box_2d\": [466, 391, 717, 485], \"label\": \"safety vest\"},\n {\"box_2d\": [341, 804, 911, 922], \"label\": \"person\"},\n {\"box_2d\": [373, 189, 921, 299], \"label\": \"person\"},\n {\"box_2d\": [310, 76, 922, 200], \"label\": \"person\"},\n {\"box_2d\": [366, 735, 408, 779], \"label\": \"safety helmet\"},\n {\"box_2d\": [385, 391, 909, 485], \"label\": \"person\"},\n {\"box_2d\": [340, 831, 384, 876], \"label\": \"safety helmet\"},\n {\"box_2d\": [372, 226, 419, 272], \"label\": \"safety helmet\"},\n {\"box_2d\": [401, 95, 608, 195], \"label\": \"safety vest\"},\n {\"box_2d\": [477, 292, 676, 382], \"label\": \"safety vest\"},\n {\"box_2d\": [457, 190, 672, 291], \"label\": \"safety vest\"},\n {\"box_2d\": [384, 417, 433, 459], \"label\": \"safety helmet\"},\n {\"box_2d\": [452, 721, 644, 811], \"label\": \"safety vest\"},\n {\"box_2d\": [388, 292, 915, 382], \"label\": \"person\"},\n {\"box_2d\": [410, 500, 463, 545], \"label\": \"safety helmet\"},\n {\"box_2d\": [373, 543, 906, 645], \"label\": \"person\"},\n {\"box_2d\": [367, 709, 912, 821], \"label\": \"person\"}\n]\n```", "correct": true, "input_tokens": 1222, "output_tokens": 946, "elapsed_seconds": 10.809207290993072, "metadata": {"match_method": "map", "num_predictions": 27, "num_ground_truth": 27, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 10.8512}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 22, "image": "2024-12-05T02-00-55-647Z-1001_jpg.rf.c0a64fec0c1e44672b8338dc3d88f40e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [592, 307, 734, 405], \"label\": \"wire hole\"},\n {\"box_2d\": [427, 540, 502, 595], \"label\": \"cable screw\"},\n {\"box_2d\": [266, 675, 342, 732], \"label\": \"screw\"},\n {\"box_2d\": [520, 677, 597, 735], \"label\": \"screw\"}\n]\n```", "correct": false, "input_tokens": 1206, "output_tokens": 150, "elapsed_seconds": 23.75656395801343, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6666666269302368, "attempts": 1, "retries": 0, "total_seconds": 24.0666}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 23, "image": "uav20221018_ixfZ_3857_391_png.rf.363cfc1a99bee6043b1535d35e5cf8f5.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [757, 793, 811, 832], \"label\": \"banana tree\"},\n {\"box_2d\": [749, 750, 795, 785], \"label\": \"banana tree\"},\n {\"box_2d\": [713, 801, 757, 845], \"label\": \"banana tree\"},\n {\"box_2d\": [676, 738, 725, 790], \"label\": \"banana tree\"},\n {\"box_2d\": [647, 797, 684, 838], \"label\": \"banana tree\"},\n {\"box_2d\": [612, 745, 657, 786], \"label\": \"banana tree\"},\n {\"box_2d\": [581, 791, 631, 839], \"label\": \"banana tree\"},\n {\"box_2d\": [546, 744, 583, 787], \"label\": \"banana tree\"},\n {\"box_2d\": [504, 801, 553, 829], \"label\": \"banana tree\"},\n {\"box_2d\": [476, 740, 521, 777], \"label\": \"banana tree\"},\n {\"box_2d\": [433, 795, 480, 835], \"label\": \"banana tree\"},\n {\"box_2d\": [405, 740, 449, 777], \"label\": \"banana tree\"},\n {\"box_2d\": [368, 790, 417, 826], \"label\": \"banana tree\"},\n {\"box_2d\": [341, 735, 378, 773], \"label\": \"banana tree\"},\n {\"box_2d\": [306, 797, 348, 830], \"label\": \"banana tree\"},\n {\"box_2d\": [266, 734, 309, 769], \"label\": \"banana tree\"},\n {\"box_2d\": [232, 797, 274, 828], \"label\": \"banana tree\"},\n {\"box_2d\": [199, 737, 232, 772], \"label\": \"banana tree\"},\n {\"box_2d\": [162, 789, 206, 828], \"label\": \"banana tree\"},\n {\"box_2d\": [132, 736, 174, 773], \"label\": \"banana tree\"},\n {\"box_2d\": [92, 795, 134, 825], \"label\": \"banana tree\"},\n {\"box_2d\": [60, 728, 102, 769], \"label\": \"banana tree\"},\n {\"box_2d\": [18, 793, 66, 833], \"label\": \"banana tree\"},\n {\"box_2d\": [0, 731, 31, 769], \"label\": \"banana tree\"},\n {\"box_2d\": [437, 501, 480, 533], \"label\": \"banana tree\"},\n {\"box_2d\": [407, 548, 446, 586], \"label\": \"banana tree\"},\n {\"box_2d\": [369, 495, 414, 545], \"label\": \"banana tree\"},\n {\"box_2d\": [336, 546, 373, 591], \"label\": \"banana tree\"},\n {\"box_2d\": [300, 501, 344, 535], \"label\": \"banana tree\"},\n {\"box_2d\": [271, 545, 308, 579], \"label\": \"banana tree\"},\n {\"box_2d\": [227, 494, 274, 533], \"label\": \"banana tree\"},\n {\"box_2d\": [192, 540, 241, 584], \"label\": \"banana tree\"},\n {\"box_2d\": [155, 500, 204, 534], \"label\": \"banana tree\"},\n {\"box_2d\": [126, 553, 161, 589], \"label\": \"banana tree\"},\n {\"box_2d\": [61, 554, 100, 581], \"label\": \"banana tree\"},\n {\"box_2d\": [22, 504, 66, 537], \"label\": \"banana tree\"},\n {\"box_2d\": [0, 550, 25, 583], \"label\": \"banana tree\"},\n {\"box_2d\": [36, 301, 75, 335], \"label\": \"banana tree\"},\n {\"box_2d\": [72, 248, 111, 277], \"label\": \"banana tree\"},\n {\"box_2d\": [1, 245, 44, 286], \"label\": \"banana tree\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 1393, "elapsed_seconds": 16.094161082990468, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 43, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9306930899620056, "attempts": 1, "retries": 0, "total_seconds": 16.1981}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 24, "image": "fabric-defect_511_jpg.rf.c9746a1a958e01686335a4e0e7bec57c.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [417, 402, 571, 484], \"label\": \"fabric cut\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 47, "elapsed_seconds": 4.258408333058469, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 4.2718}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 25, "image": "z4517190691608_e13e5a7742dfd1e1497d7f34e43b9a19_jpg.rf.53f3adf34b3bcf75125b6512855911b0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [757, 657, 916, 853], \"label\": \"50 poker chip\"},\n {\"box_2d\": [614, 718, 756, 907], \"label\": \"500 poker chip\"},\n {\"box_2d\": [430, 822, 558, 1000], \"label\": \"5000 poker chip\"},\n {\"box_2d\": [733, 454, 888, 646], \"label\": \"50 poker chip\"},\n {\"box_2d\": [584, 483, 725, 664], \"label\": \"20 poker chip\"},\n {\"box_2d\": [495, 636, 626, 818], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [461, 460, 586, 631], \"label\": \"20 poker chip\"},\n {\"box_2d\": [350, 517, 467, 683], \"label\": \"20 poker chip\"},\n {\"box_2d\": [298, 672, 415, 840], \"label\": \"50 poker chip\"},\n {\"box_2d\": [191, 649, 299, 809], \"label\": \"20 poker chip\"},\n {\"box_2d\": [244, 481, 355, 642], \"label\": \"10 poker chip\"},\n {\"box_2d\": [129, 486, 234, 640], \"label\": \"5 poker chip\"},\n {\"box_2d\": [92, 327, 193, 476], \"label\": \"5 poker chip\"},\n {\"box_2d\": [186, 350, 294, 505], \"label\": \"5 poker chip\"},\n {\"box_2d\": [196, 169, 303, 326], \"label\": \"5 poker chip\"},\n {\"box_2d\": [279, 275, 391, 434], \"label\": \"500 poker chip\"},\n {\"box_2d\": [373, 354, 490, 519], \"label\": \"20 poker chip\"},\n {\"box_2d\": [347, 111, 464, 276], \"label\": \"100 poker chip\"},\n {\"box_2d\": [433, 207, 557, 376], \"label\": \"100 poker chip\"},\n {\"box_2d\": [526, 310, 659, 484], \"label\": \"10 poker chip\"},\n {\"box_2d\": [592, 150, 730, 329], \"label\": \"50 poker chip\"},\n {\"box_2d\": [663, 296, 810, 479], \"label\": \"20 poker chip\"}\n]\n```", "correct": true, "input_tokens": 1251, "output_tokens": 830, "elapsed_seconds": 50.1115177499596, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 50.4107}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 26, "image": "floorplan-windows-doors_10156_png.rf.46b4865a81b54b57dfa53b894c0a0632.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [210, 297, 323, 360], \"label\": \"door\"},\n {\"box_2d\": [695, 237, 742, 281], \"label\": \"door\"},\n {\"box_2d\": [733, 298, 795, 362], \"label\": \"door\"},\n {\"box_2d\": [821, 299, 886, 358], \"label\": \"door\"},\n {\"box_2d\": [916, 265, 965, 329], \"label\": \"door\"},\n {\"box_2d\": [623, 742, 681, 801], \"label\": \"door\"},\n {\"box_2d\": [530, 750, 577, 806], \"label\": \"door\"},\n {\"box_2d\": [450, 741, 507, 801], \"label\": \"door\"},\n {\"box_2d\": [391, 807, 431, 853], \"label\": \"door\"},\n {\"box_2d\": [254, 241, 272, 294], \"label\": \"window\"},\n {\"box_2d\": [254, 372, 273, 471], \"label\": \"window\"},\n {\"box_2d\": [254, 646, 273, 745], \"label\": \"window\"},\n {\"box_2d\": [254, 818, 273, 858], \"label\": \"window\"},\n {\"box_2d\": [821, 391, 839, 490], \"label\": \"window\"},\n {\"box_2d\": [820, 649, 839, 749], \"label\": \"window\"},\n {\"box_2d\": [820, 785, 839, 839], \"label\": \"window\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 556, "elapsed_seconds": 50.036558124935254, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 17, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9504950642585754, "attempts": 1, "retries": 0, "total_seconds": 50.1059}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 27, "image": "fabric-defect_323_jpg.rf.371f41f855eb62c4f2068f1bac0ca297.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [73, 591, 134, 639], \"label\": \"fabric cut\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 46, "elapsed_seconds": 25.878090833080932, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 25.8896}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 28, "image": "54_png.rf.e797ccd3ab1732fcc95dc8f12eac1e73.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [199, 77, 304, 138], \"label\": \"not gate symbol\"},\n {\"box_2d\": [197, 179, 306, 238], \"label\": \"not gate symbol\"},\n {\"box_2d\": [197, 279, 304, 338], \"label\": \"not gate symbol\"},\n {\"box_2d\": [197, 379, 304, 439], \"label\": \"not gate symbol\"},\n {\"box_2d\": [310, 513, 432, 613], \"label\": \"and gate symbol\"},\n {\"box_2d\": [453, 513, 574, 614], \"label\": \"and gate symbol\"},\n {\"box_2d\": [593, 513, 717, 614], \"label\": \"and gate symbol\"},\n {\"box_2d\": [736, 513, 857, 614], \"label\": \"and gate symbol\"},\n {\"box_2d\": [382, 659, 503, 759], \"label\": \"or gate symbol\"},\n {\"box_2d\": [665, 658, 788, 759], \"label\": \"or gate symbol\"},\n {\"box_2d\": [524, 804, 646, 905], \"label\": \"and gate symbol\"}\n]\n```", "correct": true, "input_tokens": 1212, "output_tokens": 407, "elapsed_seconds": 21.051391958026215, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 21.0589}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 29, "image": "IMG_3802_JPG.rf.a7e888d2c6d99ef929355eb2fffb322e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [468, 379, 509, 396], \"label\": \"face\"},\n {\"box_2d\": [475, 435, 513, 452], \"label\": \"face\"},\n {\"box_2d\": [435, 523, 469, 538], \"label\": \"face\"},\n {\"box_2d\": [298, 336, 326, 350], \"label\": \"face\"},\n {\"box_2d\": [310, 359, 334, 372], \"label\": \"face\"},\n {\"box_2d\": [230, 415, 250, 424], \"label\": \"face\"},\n {\"box_2d\": [236, 440, 255, 448], \"label\": \"face\"},\n {\"box_2d\": [250, 498, 270, 507], \"label\": \"face\"},\n {\"box_2d\": [191, 229, 211, 237], \"label\": \"face\"},\n {\"box_2d\": [196, 252, 218, 261], \"label\": \"face\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 352, "elapsed_seconds": 88.63423308392521, "metadata": {"match_method": "map", "num_predictions": 10, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8118811845779419, "attempts": 1, "retries": 0, "total_seconds": 89.1233}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 30, "image": "DJI_20230529112019_0221_T_JPG_jpg.rf.8e72d3393da7d92494fccfb7bb75bfc8.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [72, 162, 189, 256], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [170, 650, 286, 758], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [520, 645, 652, 834], \"label\": \"solar panel hot spot\"}\n]\n```", "correct": false, "input_tokens": 1228, "output_tokens": 122, "elapsed_seconds": 8.160206874948926, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 17, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 8.1851}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 31, "image": "Atlantic_2025_NCPT-189_JPG_jpg.rf.7a382ad19f3061fc65305d93b2678aef.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [132, 253, 217, 286], \"label\": \"potato\"},\n {\"box_2d\": [12, 300, 76, 326], \"label\": \"potato\"},\n {\"box_2d\": [9, 340, 91, 369], \"label\": \"potato\"},\n {\"box_2d\": [21, 386, 108, 416], \"label\": \"potato\"},\n {\"box_2d\": [9, 427, 83, 459], \"label\": \"potato\"},\n {\"box_2d\": [6, 473, 83, 504], \"label\": \"potato\"},\n {\"box_2d\": [6, 517, 74, 545], \"label\": \"potato\"},\n {\"box_2d\": [7, 606, 80, 633], \"label\": \"potato\"},\n {\"box_2d\": [117, 599, 218, 639], \"label\": \"potato\"},\n {\"box_2d\": [27, 730, 117, 768], \"label\": \"potato\"},\n {\"box_2d\": [123, 734, 182, 760], \"label\": \"potato\"},\n {\"box_2d\": [99, 686, 175, 720], \"label\": \"potato\"},\n {\"box_2d\": [147, 641, 246, 680], \"label\": \"potato\"},\n {\"box_2d\": [266, 646, 332, 673], \"label\": \"potato\"},\n {\"box_2d\": [211, 688, 316, 725], \"label\": \"potato\"},\n {\"box_2d\": [303, 731, 383, 762], \"label\": \"potato\"},\n {\"box_2d\": [316, 680, 429, 726], \"label\": \"potato\"},\n {\"box_2d\": [445, 725, 536, 762], \"label\": \"potato\"},\n {\"box_2d\": [688, 680, 794, 716], \"label\": \"potato\"},\n {\"box_2d\": [481, 634, 598, 677], \"label\": \"potato\"},\n {\"box_2d\": [507, 596, 616, 635], \"label\": \"potato\"},\n {\"box_2d\": [734, 591, 835, 626], \"label\": \"potato\"},\n {\"box_2d\": [662, 552, 769, 593], \"label\": \"potato\"},\n {\"box_2d\": [866, 506, 948, 538], \"label\": \"potato\"},\n {\"box_2d\": [844, 462, 924, 493], \"label\": \"potato\"},\n {\"box_2d\": [920, 418, 1000, 453], \"label\": \"potato\"},\n {\"box_2d\": [751, 419, 828, 447], \"label\": \"potato\"},\n {\"box_2d\": [694, 466, 752, 490], \"label\": \"potato\"},\n {\"box_2d\": [586, 463, 678, 499], \"label\": \"potato\"},\n {\"box_2d\": [576, 508, 684, 551], \"label\": \"potato\"},\n {\"box_2d\": [472, 500, 576, 543], \"label\": \"potato\"},\n {\"box_2d\": [482, 552, 567, 586], \"label\": \"potato\"},\n {\"box_2d\": [368, 550, 484, 604], \"label\": \"potato\"},\n {\"box_2d\": [377, 601, 470, 638], \"label\": \"potato\"},\n {\"box_2d\": [291, 558, 365, 590], \"label\": \"potato\"},\n {\"box_2d\": [197, 552, 291, 592], \"label\": \"potato\"},\n {\"box_2d\": [73, 512, 145, 545], \"label\": \"potato\"},\n {\"box_2d\": [144, 514, 242, 546], \"label\": \"potato\"},\n {\"box_2d\": [254, 512, 361, 552], \"label\": \"potato\"},\n {\"box_2d\": [356, 511, 447, 545], \"label\": \"potato\"},\n {\"box_2d\": [153, 466, 267, 508], \"label\": \"potato\"},\n {\"box_2d\": [82, 472, 154, 501], \"label\": \"potato\"},\n {\"box_2d\": [104, 421, 199, 459], \"label\": \"potato\"},\n {\"box_2d\": [217, 408, 323, 459], \"label\": \"potato\"},\n {\"box_2d\": [266, 463, 365, 505], \"label\": \"potato\"},\n {\"box_2d\": [365, 463, 451, 502], \"label\": \"potato\"},\n {\"box_2d\": [457, 466, 543, 496], \"label\": \"potato\"},\n {\"box_2d\": [319, 427, 381, 454], \"label\": \"potato\"},\n {\"box_2d\": [399, 413, 509, 457], \"label\": \"potato\"},\n {\"box_2d\": [582, 415, 687, 454], \"label\": \"potato\"},\n {\"box_2d\": [757, 374, 840, 408], \"label\": \"potato\"},\n {\"box_2d\": [779, 330, 864, 369], \"label\": \"potato\"},\n {\"box_2d\": [691, 336, 760, 363], \"label\": \"potato\"},\n {\"box_2d\": [617, 334, 684, 363], \"label\": \"potato\"},\n {\"box_2d\": [585, 374, 668, 411], \"label\": \"potato\"},\n {\"box_2d\": [478, 375, 567, 409], \"label\": \"potato\"},\n {\"box_2d\": [398, 381, 482, 414], \"label\": \"potato\"},\n {\"box_2d\": [285, 374, 389, 412], \"label\": \"potato\"},\n {\"box_2d\": [231, 384, 286, 408], \"label\": \"potato\"},\n {\"box_2d\": [162, 384, 231, 415], \"label\": \"potato\"},\n {\"box_2d\": [134, 337, 217, 370], \"label\": \"potato\"},\n {\"box_2d\": [217, 341, 279, 365], \"label\": \"potato\"},\n {\"box_2d\": [117, 297, 181, 322], \"label\": \"potato\"},\n {\"box_2d\": [350, 285, 447, 329], \"label\": \"potato\"},\n {\"box_2d\": [341, 336, 436, 370], \"label\": \"potato\"},\n {\"box_2d\": [435, 337, 500, 363], \"label\": \"potato\"},\n {\"box_2d\": [447, 289, 533, 326], \"label\": \"potato\"},\n {\"box_2d\": [500, 328, 607, 372], \"label\": \"potato\"},\n {\"box_2d\": [550, 284, 648, 328], \"label\": \"potato\"},\n {\"box_2d\": [656, 289, 723, 315], \"label\": \"potato\"},\n {\"box_2d\": [721, 282, 834, 321], \"label\": \"potato\"},\n {\"box_2d\": [834, 288, 895, 314], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 2439, "elapsed_seconds": 45.60725729097612, "metadata": {"match_method": "map", "num_predictions": 72, "num_ground_truth": 72, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 46.3116}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 32, "image": "V000078_0_0_jpeg_jpg.rf.ea93b54e17810ab845506f60bf69b7dd.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [799, 95, 967, 952], \"label\": \"technical drawing table\"},\n {\"box_2d\": [163, 344, 211, 439], \"label\": \"surface roughness symbol\"},\n {\"box_2d\": [298, 434, 329, 480], \"label\": \"dimension annotation\"},\n {\"box_2d\": [339, 171, 369, 480], \"label\": \"dimension annotation\"},\n {\"box_2d\": [298, 239, 329, 433], \"label\": \"dimension annotation\"},\n {\"box_2d\": [346, 695, 381, 783], \"label\": \"dimension annotation\"},\n {\"box_2d\": [125, 657, 184, 711], \"label\": \"dimension annotation\"},\n {\"box_2d\": [153, 862, 205, 929], \"label\": \"dimension annotation\"},\n {\"box_2d\": [298, 491, 329, 563], \"label\": \"dimension annotation\"},\n {\"box_2d\": [339, 490, 369, 549], \"label\": \"dimension annotation\"},\n {\"box_2d\": [443, 502, 462, 600], \"label\": \"dimension annotation\"},\n {\"box_2d\": [468, 571, 554, 626], \"label\": \"dimension annotation\"},\n {\"box_2d\": [444, 237, 480, 297], \"label\": \"dimension annotation\"},\n {\"box_2d\": [444, 136, 488, 238], \"label\": \"dimension annotation\"},\n {\"box_2d\": [495, 128, 529, 162], \"label\": \"dimension annotation\"},\n {\"box_2d\": [501, 187, 584, 212], \"label\": \"dimension annotation\"},\n {\"box_2d\": [478, 300, 576, 330], \"label\": \"dimension annotation\"},\n {\"box_2d\": [278, 171, 321, 232], \"label\": \"dimension annotation\"}\n]\n```", "correct": false, "input_tokens": 1237, "output_tokens": 643, "elapsed_seconds": 9.115263334009796, "metadata": {"match_method": "map", "num_predictions": 18, "num_ground_truth": 18, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6712870597839355, "attempts": 1, "retries": 0, "total_seconds": 9.1326}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 33, "image": "1226_8_jpg.rf.ca0a21572938b5c31e601cfcbf119e1e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [21, 20, 117, 118], \"label\": \"black rook\"},\n {\"box_2d\": [0, 141, 95, 245], \"label\": \"black knight\"},\n {\"box_2d\": [36, 266, 134, 355], \"label\": \"black bishop\"},\n {\"box_2d\": [9, 404, 129, 491], \"label\": \"black king\"},\n {\"box_2d\": [8, 533, 127, 620], \"label\": \"black queen\"},\n {\"box_2d\": [19, 899, 115, 999], \"label\": \"black rook\"},\n {\"box_2d\": [140, 44, 214, 120], \"label\": \"black pawn\"},\n {\"box_2d\": [162, 651, 234, 723], \"label\": \"black pawn\"},\n {\"box_2d\": [168, 764, 240, 839], \"label\": \"black pawn\"},\n {\"box_2d\": [178, 913, 250, 996], \"label\": \"black pawn\"},\n {\"box_2d\": [280, 288, 352, 359], \"label\": \"black pawn\"},\n {\"box_2d\": [285, 399, 374, 488], \"label\": \"black bishop\"},\n {\"box_2d\": [425, 536, 496, 608], \"label\": \"black pawn\"},\n {\"box_2d\": [410, 894, 489, 1000], \"label\": \"black knight\"},\n {\"box_2d\": [523, 294, 594, 366], \"label\": \"white pawn\"},\n {\"box_2d\": [551, 759, 622, 834], \"label\": \"white pawn\"},\n {\"box_2d\": [641, 400, 714, 471], \"label\": \"white pawn\"},\n {\"box_2d\": [631, 641, 709, 744], \"label\": \"white knight\"},\n {\"box_2d\": [757, 57, 830, 133], \"label\": \"white pawn\"},\n {\"box_2d\": [767, 170, 840, 243], \"label\": \"white pawn\"},\n {\"box_2d\": [786, 641, 862, 713], \"label\": \"white pawn\"},\n {\"box_2d\": [773, 890, 847, 972], \"label\": \"white pawn\"},\n {\"box_2d\": [869, 40, 968, 134], \"label\": \"white rook\"},\n {\"box_2d\": [867, 132, 957, 239], \"label\": \"white knight\"},\n {\"box_2d\": [872, 282, 972, 373], \"label\": \"white bishop\"},\n {\"box_2d\": [866, 409, 987, 500], \"label\": \"white king\"},\n {\"box_2d\": [866, 532, 988, 621], \"label\": \"white queen\"},\n {\"box_2d\": [870, 653, 971, 744], \"label\": \"white bishop\"},\n {\"box_2d\": [880, 886, 977, 989], \"label\": \"white rook\"}\n]\n```", "correct": true, "input_tokens": 1259, "output_tokens": 1014, "elapsed_seconds": 14.694618334062397, "metadata": {"match_method": "map", "num_predictions": 29, "num_ground_truth": 29, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 14.9891}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 34, "image": "1218_18_jpg.rf.8c844a918f3bbbea9bc4a4e8bb703b7d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [32, 522, 130, 610], \"label\": \"black bishop\"},\n {\"box_2d\": [134, 8, 224, 105], \"label\": \"white rook\"},\n {\"box_2d\": [254, 255, 342, 348], \"label\": \"black knight\"},\n {\"box_2d\": [261, 632, 351, 717], \"label\": \"white knight\"},\n {\"box_2d\": [265, 876, 358, 999], \"label\": \"white queen\"},\n {\"box_2d\": [380, 6, 464, 118], \"label\": \"black queen\"},\n {\"box_2d\": [512, 1, 597, 118], \"label\": \"white king\"},\n {\"box_2d\": [516, 281, 602, 369], \"label\": \"white bishop\"},\n {\"box_2d\": [520, 524, 604, 609], \"label\": \"black king\"},\n {\"box_2d\": [537, 764, 604, 839], \"label\": \"white pawn\"},\n {\"box_2d\": [626, 391, 707, 478], \"label\": \"black knight\"},\n {\"box_2d\": [637, 523, 718, 602], \"label\": \"white rook\"},\n {\"box_2d\": [639, 882, 720, 991], \"label\": \"white knight\"},\n {\"box_2d\": [746, 141, 846, 243], \"label\": \"white queen\"},\n {\"box_2d\": [770, 643, 843, 714], \"label\": \"black pawn\"},\n {\"box_2d\": [765, 768, 853, 857], \"label\": \"black rook\"},\n {\"box_2d\": [888, 405, 969, 478], \"label\": \"white pawn\"},\n {\"box_2d\": [882, 761, 1000, 869], \"label\": \"black queen\"}\n]\n```", "correct": true, "input_tokens": 1259, "output_tokens": 636, "elapsed_seconds": 26.14577558392193, "metadata": {"match_method": "map", "num_predictions": 18, "num_ground_truth": 18, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 26.4223}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 35, "image": "42ba34_3_4_png_jpg.rf.963d6715a391a3a2fee3176cace44325.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [243, 491, 274, 497], \"label\": \"referee\"},\n {\"box_2d\": [283, 405, 315, 413], \"label\": \"player\"},\n {\"box_2d\": [301, 281, 336, 290], \"label\": \"player\"},\n {\"box_2d\": [294, 318, 329, 326], \"label\": \"player\"},\n {\"box_2d\": [293, 691, 333, 699], \"label\": \"player\"},\n {\"box_2d\": [332, 463, 372, 474], \"label\": \"player\"},\n {\"box_2d\": [357, 435, 397, 443], \"label\": \"player\"},\n {\"box_2d\": [401, 350, 447, 360], \"label\": \"referee\"},\n {\"box_2d\": [353, 586, 394, 595], \"label\": \"player\"},\n {\"box_2d\": [468, 676, 518, 688], \"label\": \"player\"},\n {\"box_2d\": [454, 722, 501, 735], \"label\": \"player\"},\n {\"box_2d\": [423, 803, 471, 813], \"label\": \"player\"},\n {\"box_2d\": [489, 563, 539, 575], \"label\": \"player\"},\n {\"box_2d\": [540, 583, 597, 596], \"label\": \"player\"},\n {\"box_2d\": [529, 606, 583, 619], \"label\": \"player\"},\n {\"box_2d\": [491, 265, 549, 276], \"label\": \"player\"},\n {\"box_2d\": [517, 282, 572, 294], \"label\": \"player\"},\n {\"box_2d\": [579, 235, 636, 249], \"label\": \"player\"},\n {\"box_2d\": [678, 152, 740, 171], \"label\": \"player\"},\n {\"box_2d\": [373, 0, 417, 11], \"label\": \"goalkeeper\"},\n {\"box_2d\": [353, 251, 391, 260], \"label\": \"player\"},\n {\"box_2d\": [352, 257, 393, 267], \"label\": \"player\"},\n {\"box_2d\": [350, 912, 389, 926], \"label\": \"goalkeeper\"},\n {\"box_2d\": [636, 956, 698, 978], \"label\": \"referee\"},\n {\"box_2d\": [773, 532, 848, 546], \"label\": \"referee\"}\n]\n```", "correct": false, "input_tokens": 1242, "output_tokens": 865, "elapsed_seconds": 16.637696958030574, "metadata": {"match_method": "map", "num_predictions": 25, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5981848239898682, "attempts": 1, "retries": 0, "total_seconds": 16.7686}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 36, "image": "170567v_JPG_jpg.rf.b4ec6b9d23ca24e31da874cd6f035dfa.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [567, 608, 697, 667], \"label\": \"cracked insulator\"},\n {\"box_2d\": [553, 574, 650, 632], \"label\": \"cracked insulator\"},\n {\"box_2d\": [540, 538, 670, 596], \"label\": \"cracked insulator\"},\n {\"box_2d\": [525, 505, 655, 563], \"label\": \"cracked insulator\"},\n {\"box_2d\": [501, 447, 611, 495], \"label\": \"cracked insulator\"},\n {\"box_2d\": [489, 405, 616, 461], \"label\": \"cracked insulator\"}\n]\n```", "correct": true, "input_tokens": 1244, "output_tokens": 228, "elapsed_seconds": 150.36639145901427, "metadata": {"match_method": "map", "num_predictions": 6, "num_ground_truth": 6, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 150.908}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 37, "image": "wood-log-detection_092_png_jpg.rf.b7bfbb1ba7a477ea02f5974fce28583e.jpg", "expected": "", "predicted": "```json\n[{\"box_2d\": [770, 261, 845, 319], \"label\": \"log cross-section\"}, {\"box_2d\": [831, 297, 908, 362], \"label\": \"log cross-section\"}, {\"box_2d\": [852, 362, 908, 405], \"label\": \"log cross-section\"}, {\"box_2d\": [838, 400, 898, 439], \"label\": \"log cross-section\"}, {\"box_2d\": [828, 466, 914, 528], \"label\": \"log cross-section\"}, {\"box_2d\": [870, 434, 906, 456], \"label\": \"log cross-section\"}, {\"box_2d\": [864, 453, 914, 480], \"label\": \"log cross-section\"}, {\"box_2d\": [850, 556, 914, 603], \"label\": \"log cross-section\"}, {\"box_2d\": [833, 597, 891, 642], \"label\": \"log cross-section\"}, {\"box_2d\": [805, 628, 869, 670], \"label\": \"log cross-section\"}, {\"box_2d\": [861, 647, 894, 677], \"label\": \"log cross-section\"}, {\"box_2d\": [878, 628, 916, 656], \"label\": \"log cross-section\"}, {\"box_2d\": [845, 264, 894, 300], \"label\": \"log cross-section\"}, {\"box_2d\": [712, 311, 777, 366], \"label\": \"log cross-section\"}, {\"box_2d\": [684, 266, 750, 317], \"label\": \"log cross-section\"}, {\"box_2d\": [647, 273, 688, 306], \"label\": \"log cross-section\"}, {\"box_2d\": [642, 308, 709, 366], \"label\": \"log cross-section\"}, {\"box_2d\": [589, 273, 653, 325], \"label\": \"log cross-section\"}, {\"box_2d\": [588, 320, 645, 369], \"label\": \"log cross-section\"}, {\"box_2d\": [578, 369, 647, 427], \"label\": \"log cross-section\"}, {\"box_2d\": [536, 334, 595, 383], \"label\": \"log cross-section\"}, {\"box_2d\": [505, 370, 577, 425], \"label\": \"log cross-section\"}, {\"box_2d\": [494, 266, 567, 325], \"label\": \"log cross-section\"}, {\"box_2d\": [506, 323, 550, 375], \"label\": \"log cross-section\"}, {\"box_2d\": [553, 261, 598, 297], \"label\": \"log cross-section\"}, {\"box_2d\": [528, 419, 588, 459], \"label\": \"log cross-section\"}, {\"box_2d\": [425, 272, 492, 327], \"label\": \"log cross-section\"}, {\"box_2d\": [392, 308, 444, 355], \"label\": \"log cross-section\"}, {\"box_2d\": [364, 350, 416, 391], \"label\": \"log cross-section\"}, {\"box_2d\": [347, 264, 398, 308], \"label\": \"log cross-section\"}, {\"box_2d\": [270, 312, 344, 381], \"label\": \"log cross-section\"}, {\"box_2d\": [298, 262, 348, 309], \"label\": \"log cross-section\"}, {\"box_2d\": [233, 258, 303, 312], \"label\": \"log cross-section\"}, {\"box_2d\": [155, 258, 236, 319], \"label\": \"log cross-section\"}, {\"box_2d\": [109, 278, 158, 322], \"label\": \"log cross-section\"}, {\"box_2d\": [98, 319, 144, 358], \"label\": \"log cross-section\"}, {\"box_2d\": [34, 336, 98, 389], \"label\": \"log cross-section\"}, {\"box_2d\": [92, 383, 141, 423], \"label\": \"log cross-section\"}, {\"box_2d\": [141, 350, 211, 405], \"label\": \"log cross-section\"}, {\"box_2d\": [211, 309, 272, 362], \"label\": \"log cross-section\"}, {\"box_2d\": [228, 361, 286, 409], \"label\": \"log cross-section\"}, {\"box_2d\": [273, 395, 323, 434], \"label\": \"log cross-section\"}, {\"box_2d\": [330, 386, 384, 425], \"label\": \"log cross-section\"}, {\"box_2d\": [394, 380, 448, 422], \"label\": \"log cross-section\"}, {\"box_2d\": [411, 352, 452, 383], \"label\": \"log cross-section\"}, {\"box_2d\": [445, 367, 492, 408], \"label\": \"log cross-section\"}, {\"box_2d\": [425, 406, 473, 447], \"label\": \"log cross-section\"}, {\"box_2d\": [472, 403, 522, 444], \"label\": \"log cross-section\"}, {\"box_2d\": [423, 445, 483, 494], \"label\": \"log cross-section\"}, {\"box_2d\": [483, 447, 548, 505], \"label\": \"log cross-section\"}, {\"box_2d\": [548, 447, 622, 505], \"label\": \"log cross-section\"}, {\"box_2d\": [612, 428, 653, 464], \"label\": \"log cross-section\"}, {\"box_2d\": [641, 362, 698, 409], \"label\": \"log cross-section\"}, {\"box_2d\": [695, 362, 759, 409], \"label\": \"log cross-section\"}, {\"box_2d\": [672, 395, 725, 436], \"label\": \"log cross-section\"}, {\"box_2d\": [691, 427, 744, 464], \"label\": \"log cross-section\"}, {\"box_2d\": [739, 389, 805, 439], \"label\": \"log cross-section\"}, {\"box_2d\": [786, 358, 844, 403], \"label\": \"log cross-section\"}, {\"box_2d\": [755, 355, 792, 384], \"label\": \"log cross-section\"}, {\"box_2d\": [775, 323, 816, 358], \"label\": \"log cross-section\"}, {\"box_2d\": [680, 462, 767, 533], \"label\": \"log cross-section\"}, {\"box_2d\": [762, 470, 831, 528], \"label\": \"log cross-section\"}, {\"box_2d\": [645, 444, 697, 483], \"label\": \"log cross-section\"}, {\"box_2d\": [614, 456, 653, 492], \"label\": \"log cross-section\"}, {\"box_2d\": [562, 502, 622, 552], \"label\": \"log cross-section\"}, {\"box_2d\": [509, 500, 561, 539], \"label\": \"log cross-section\"}, {\"box_2d\": [508, 536, 581, 588], \"label\": \"log cross-section\"}, {\"box_2d\": [423, 494, 481, 541], \"label\": \"log cross-section\"}, {\"box_2d\": [391, 475, 439, 514], \"label\": \"log cross-section\"}, {\"box_2d\": [377, 430, 433, 475], \"label\": \"log cross-section\"}, {\"box_2d\": [319, 459, 392, 514], \"label\": \"log cross-section\"}, {\"box_2d\": [330, 422, 375, 455], \"label\": \"log cross-section\"}, {\"box_2d\": [272, 430, 334, 475], \"label\": \"log cross-section\"}, {\"box_2d\": [231, 450, 286, 492], \"label\": \"log cross-section\"}, {\"box_2d\": [219, 420, 278, 455], \"label\": \"log cross-section\"}, {\"box_2d\": [150, 433, 212, 477], \"label\": \"log cross-section\"}, {\"box_2d\": [100, 466, 148, 500], \"label\": \"log cross-section\"}, {\"box_2d\": [70, 530, 147, 586], \"label\": \"log cross-section\"}, {\"box_2d\": [150, 530, 217, 584], \"label\": \"log cross-section\"}, {\"box_2d\": [138, 497, 189, 539], \"label\": \"log cross-section\"}, {\"box_2d\": [184, 494, 234, 534], \"label\": \"log cross-section\"}, {\"box_2d\": [231, 489, 272, 522], \"label\": \"log cross-section\"}, {\"box_2d\": [269, 488, 320, 530], \"label\": \"log cross-section\"}, {\"box_2d\": [209, 519, 258, 555], \"label\": \"log cross-section\"}, {\"box_2d\": [211, 555, 275, 606], \"label\": \"log cross-section\"}, {\"box_2d\": [172, 581, 222, 622], \"label\": \"log cross-section\"}, {\"box_2d\": [114, 583, 169, 623], \"label\": \"log cross-section\"}, {\"box_2d\": [83, 625, 130, 661], \"label\": \"log cross-section\"}, {\"box_2d\": [114, 645, 167, 688], \"label\": \"log cross-section\"}, {\"box_2d\": [161, 630, 228, 681], \"label\": \"log cross-section\"}, {\"box_2d\": [138, 677, 225, 742], \"label\": \"log cross-section\"}, {\"box_2d\": [162, 741, 205, 777], \"label\": \"log cross-section\"}, {\"box_2d\": [161, 773, 211, 812], \"label\": \"log cross-section\"}, {\"box_2d\": [164, 806, 228, 852], \"label\": \"log cross-section\"}, {\"box_2d\": [220, 822, 270, 862], \"label\": \"log cross-section\"}, {\"box_2d\": [244, 638, 314, 695], \"label\": \"log cross-section\"}, {\"box_2d\": [222, 602, 281, 647], \"label\": \"log cross-section\"}, {\"box_2d\": [269, 567, 336, 623], \"label\": \"log cross-section\"}, {\"box_2d\": [308, 680, 380, 733], \"label\": \"log cross-section\"}, {\"box_2d\": [320, 730, 380, 773], \"label\": \"log cross-section\"}, {\"box_2d\": [297, 773, 358, 838], \"label\": \"log cross-section\"}, {\"box_2d\": [356, 761, 427, 822], \"label\": \"log cross-section\"}, {\"box_2d\": [367, 716, 420, 756], \"label\": \"log cross-section\"}, {\"box_2d\": [377, 680, 427, 722], \"label\": \"log cross-section\"}, {\"box_2d\": [389, 636, 445, 686], \"label\": \"log cross-section\"}, {\"box_2d\": [391, 555, 450, 605], \"label\": \"log cross-section\"}, {\"box_2d\": [387, 520, 439, 559], \"label\": \"log cross-section\"}, {\"box_2d\": [419, 691, 472, 738], \"label\": \"log cross-section\"}, {\"box_2d\": [466, 742, 536, 800], \"label\": \"log cross-section\"}, {\"box_2d\": [506, 706, 570, 767], \"label\": \"log cross-section\"}, {\"box_2d\": [503, 627, 562, 677], \"label\": \"log cross-section\"}, {\"box_2d\": [489, 577, 545, 623], \"label\": \"log cross-section\"}, {\"box_2d\": [573, 566, 639, 622], \"label\": \"log cross-section\"}, {\"box_2d\": [603, 533, 658, 575], \"label\": \"log cross-section\"}, {\"box_2d\": [645, 512, 703, 559], \"label\": \"log cross-section\"}, {\"box_2d\": [694, 533, 762, 589], \"label\": \"log cross-section\"}, {\"box_2d\": [731, 578, 827, 648], \"label\": \"log cross-section\"}, {\"box_2d\": [761, 523, 812, 562], \"label\": \"log cross-section\"}, {\"box_2d\": [808, 519, 856, 556], \"label\": \"log cross-section\"}, {\"box_2d\": [797, 661, 869, 714], \"label\": \"log cross-section\"}, {\"box_2d\": [738, 725, 814, 791], \"label\": \"log cross-section\"}, {\"box_2d\": [750, 689, 805, 728], \"label\": \"log cross-section\"}, {\"box_2d\": [750, 647, 808, 691], \"label\": \"log cross-section\"}, {\"box_2d\": [711, 670, 762, 711], \"label\": \"log cross-section\"}, {\"box_2d\": [705, 625, 756, 666], \"label\": \"log cross-section\"}, {\"box_2d\": [673, 583, 728, 627], \"label\": \"log cross-section\"}, {\"box_2d\": [633, 741, 708, 806], \"label\": \"log cross-section\"}, {\"box_2d\": [575, 773, 636, 834], \"label\": \"log cross-section\"}, {\"box_2d\": [577, 730, 641, 783], \"label\": \"log cross-section\"}, {\"box_2d\": [556, 697, 612, 741], \"label\": \"log cross-section\"}, {\"box_2d\": [605, 616, 667, 666], \"label\": \"log cross-section\"}, {\"box_2d\": [686, 727, 738, 770], \"label\": \"log cross-section\"}, {\"box_2d\": [642, 695, 698, 742], \"label\": \"log cross-section\"}, {\"box_2d\": [659, 619, 709, 661], \"label\": \"log cross-section\"}, {\"box_2d\": [677, 655, 725, 692], \"label\": \"log cross-section\"}, {\"box_2d\": [531, 764, 577, 819], \"label\": \"log cross-section\"}, {\"box_2d\": [481, 664, 536, 708], \"label\": \"log cross-section\"}, {\"box_2d\": [436, 633, 478, 667], \"label\": \"log cross-section\"}, {\"box_2d\": [409, 602, 456, 639], \"label\": \"log cross-section\"}, {\"box_2d\": [447, 575, 492, 609], \"label\": \"log cross-section\"}, {\"box_2d\": [464, 605, 506, 641], \"label\": \"log cross-section\"}, {\"box_2d\": [439, 725, 480, 758], \"label\": \"log cross-section\"}, {\"box_2d\": [309, 616, 362, 658], \"label\": \"log cross-section\"}, {\"box_2d\": [256, 761, 308, 817], \"label\": \"log cross-section\"}, {\"box_2d\": [198, 734, 261, 789], \"label\": \"log cross-section\"}, {\"box_2d\": [125, 214, 180, 266], \"label\": \"log cross-section\"}, {\"box_2d\": [823, 758, 884, 820], \"label\": \"log cross-section\"}, {\"box_2d\": [603, 680, 653, 727], \"label\": \"log cross-section\"}, {\"box_2d\": [558, 639, 611, 691], \"label\": \"log cross-section\"}]```", "correct": false, "input_tokens": 1228, "output_tokens": 5217, "elapsed_seconds": 47.79308533295989, "metadata": {"match_method": "map", "num_predictions": 149, "num_ground_truth": 206, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.40514615178108215, "attempts": 1, "retries": 0, "total_seconds": 47.8193}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 38, "image": "DJI_20230529111632_0087_T_JPG_jpg.rf.a0bcf6f9fb3a8158bd511491a1f333d9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [644, 475, 659, 488], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [534, 594, 550, 608], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [630, 681, 645, 694], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [523, 758, 539, 770], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [266, 845, 281, 856], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [261, 886, 280, 898], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [258, 967, 272, 980], \"label\": \"solar panel hot spot\"}\n]\n```", "correct": false, "input_tokens": 1228, "output_tokens": 271, "elapsed_seconds": 7.155639333999716, "metadata": {"match_method": "map", "num_predictions": 7, "num_ground_truth": 9, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7722772359848022, "attempts": 1, "retries": 0, "total_seconds": 7.1781}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 39, "image": "IMG_20260128_081648_jpg.rf.195a895d6fe7552e4b9d0fc4e44e0f46.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [618, 76, 725, 151], \"label\": \"white standard price tag\"},\n {\"box_2d\": [619, 151, 725, 236], \"label\": \"white standard price tag\"},\n {\"box_2d\": [623, 235, 725, 290], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [624, 290, 725, 372], \"label\": \"white standard price tag\"},\n {\"box_2d\": [624, 372, 726, 419], \"label\": \"white standard price tag\"},\n {\"box_2d\": [623, 418, 727, 492], \"label\": \"white standard price tag\"},\n {\"box_2d\": [622, 492, 728, 569], \"label\": \"white standard price tag\"},\n {\"box_2d\": [622, 568, 729, 642], \"label\": \"white standard price tag\"},\n {\"box_2d\": [618, 637, 949, 735], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [618, 714, 949, 804], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [628, 855, 731, 932], \"label\": \"white standard price tag\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 418, "elapsed_seconds": 161.0838281250326, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 161.5515}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 40, "image": "m4_tire_2024-10-17_18_png_jpg.rf.b3da826931757f1612878ecf9680a260.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [92, 300, 179, 513], \"label\": \"tire size text\"}\n]\n```", "correct": false, "input_tokens": 1226, "output_tokens": 47, "elapsed_seconds": 153.11694808292668, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3366336226463318, "attempts": 1, "retries": 0, "total_seconds": 153.4938}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 41, "image": "IMG_3864_JPG.rf.85dd012a4824e9d1050c085dd0a2e519.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [560, 41, 648, 168], \"label\": \"10000 poker chip\"},\n {\"box_2d\": [468, 98, 545, 217], \"label\": \"500 poker chip\"},\n {\"box_2d\": [351, 224, 419, 333], \"label\": \"100 poker chip\"},\n {\"box_2d\": [607, 131, 701, 263], \"label\": \"500 poker chip\"},\n {\"box_2d\": [522, 218, 607, 343], \"label\": \"500 poker chip\"},\n {\"box_2d\": [431, 286, 506, 403], \"label\": \"500 poker chip\"},\n {\"box_2d\": [361, 398, 429, 506], \"label\": \"500 poker chip\"},\n {\"box_2d\": [430, 402, 504, 516], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [518, 399, 603, 523], \"label\": \"500 poker chip\"},\n {\"box_2d\": [576, 300, 667, 430], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [661, 240, 765, 378], \"label\": \"500 poker chip\"},\n {\"box_2d\": [600, 422, 697, 553], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [529, 526, 617, 654], \"label\": \"500 poker chip\"},\n {\"box_2d\": [441, 513, 518, 631], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [406, 612, 479, 728], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [447, 709, 526, 832], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [515, 651, 601, 779], \"label\": \"500 poker chip\"},\n {\"box_2d\": [674, 498, 783, 639], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [674, 638, 782, 780], \"label\": \"500 poker chip\"},\n {\"box_2d\": [593, 709, 690, 845], \"label\": \"100 poker chip\"},\n {\"box_2d\": [513, 780, 602, 913], \"label\": \"100 poker chip\"},\n {\"box_2d\": [425, 821, 504, 944], \"label\": \"100 poker chip\"},\n {\"box_2d\": [685, 799, 795, 946], \"label\": \"1000 poker chip\"}\n]\n```", "correct": true, "input_tokens": 1229, "output_tokens": 894, "elapsed_seconds": 164.57852658291813, "metadata": {"match_method": "map", "num_predictions": 23, "num_ground_truth": 24, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9702969789505005, "attempts": 1, "retries": 0, "total_seconds": 165.4169}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 42, "image": "1217_2_jpg.rf.e0a2a15bcd44d66668e689fd59ca61fe.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [765, 162, 855, 250], \"label\": \"black bishop\"},\n {\"box_2d\": [410, 26, 482, 108], \"label\": \"white pawn\"},\n {\"box_2d\": [880, 398, 974, 480], \"label\": \"black rook\"},\n {\"box_2d\": [746, 745, 855, 854], \"label\": \"black king\"},\n {\"box_2d\": [168, 17, 241, 98], \"label\": \"black pawn\"},\n {\"box_2d\": [650, 876, 720, 954], \"label\": \"white pawn\"},\n {\"box_2d\": [404, 297, 476, 370], \"label\": \"white pawn\"},\n {\"box_2d\": [283, 385, 358, 456], \"label\": \"black pawn\"},\n {\"box_2d\": [0, 399, 125, 488], \"label\": \"white queen\"},\n {\"box_2d\": [546, 1, 626, 115], \"label\": \"black knight\"},\n {\"box_2d\": [649, 631, 740, 723], \"label\": \"white queen\"},\n {\"box_2d\": [149, 646, 224, 720], \"label\": \"white pawn\"},\n {\"box_2d\": [512, 121, 598, 232], \"label\": \"black queen\"},\n {\"box_2d\": [178, 764, 254, 839], \"label\": \"white pawn\"},\n {\"box_2d\": [395, 638, 477, 732], \"label\": \"white knight\"},\n {\"box_2d\": [781, 397, 855, 468], \"label\": \"black pawn\"},\n {\"box_2d\": [516, 398, 597, 479], \"label\": \"white rook\"},\n {\"box_2d\": [1, 509, 129, 600], \"label\": \"white king\"},\n {\"box_2d\": [284, 152, 357, 230], \"label\": \"white pawn\"},\n {\"box_2d\": [887, 882, 999, 996], \"label\": \"black queen\"},\n {\"box_2d\": [308, 868, 382, 950], \"label\": \"black pawn\"},\n {\"box_2d\": [525, 276, 597, 348], \"label\": \"black pawn\"},\n {\"box_2d\": [1, 910, 84, 992], \"label\": \"black pawn\"},\n {\"box_2d\": [269, 625, 362, 717], \"label\": \"white bishop\"},\n {\"box_2d\": [384, 507, 474, 596], \"label\": \"black bishop\"},\n {\"box_2d\": [432, 902, 502, 980], \"label\": \"white pawn\"},\n {\"box_2d\": [898, 0, 995, 114], \"label\": \"white knight\"},\n {\"box_2d\": [760, 17, 845, 116], \"label\": \"white rook\"},\n {\"box_2d\": [423, 766, 503, 871], \"label\": \"black knight\"},\n {\"box_2d\": [899, 642, 993, 725], \"label\": \"black rook\"},\n {\"box_2d\": [558, 609, 631, 681], \"label\": \"white pawn\"},\n {\"box_2d\": [25, 139, 126, 236], \"label\": \"white bishop\"}\n]\n```", "correct": true, "input_tokens": 1259, "output_tokens": 1116, "elapsed_seconds": 111.77063325000927, "metadata": {"match_method": "map", "num_predictions": 32, "num_ground_truth": 32, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 112.056}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 43, "image": "fabric-defect_904_jpg.rf.1cf391ad7827c3f000e3c8ea35472e5d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [401, 459, 511, 526], \"label\": \"fabric cut\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 47, "elapsed_seconds": 2.8665577500360087, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 2.8908}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 44, "image": "20210325_204058_jpg.rf.29e7808c087a71e473dd9c19badaff2c.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [702, 439, 912, 650], \"label\": \"1 euro coin\"},\n {\"box_2d\": [562, 689, 742, 875], \"label\": \"10 euro cent coin\"},\n {\"box_2d\": [498, 509, 645, 658], \"label\": \"1 euro cent coin\"},\n {\"box_2d\": [366, 644, 534, 816], \"label\": \"2 euro cent coin\"},\n {\"box_2d\": [148, 430, 366, 645], \"label\": \"50 euro cent coin\"},\n {\"box_2d\": [258, 62, 444, 247], \"label\": \"5 euro cent coin\"},\n {\"box_2d\": [347, 267, 577, 498], \"label\": \"2 euro coin\"},\n {\"box_2d\": [605, 150, 806, 353], \"label\": \"20 euro cent coin\"}\n]\n```", "correct": true, "input_tokens": 1272, "output_tokens": 308, "elapsed_seconds": 57.45690479199402, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 57.4876}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 45, "image": "9999942_00000_d_0000135_jpg.rf.52553444f2adb8d7ba245527bc1de4b5.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [525, 10, 569, 76], \"label\": \"van\"},\n {\"box_2d\": [691, 103, 793, 159], \"label\": \"car\"},\n {\"box_2d\": [812, 136, 929, 184], \"label\": \"car\"},\n {\"box_2d\": [568, 372, 634, 449], \"label\": \"car\"},\n {\"box_2d\": [546, 535, 591, 604], \"label\": \"van\"},\n {\"box_2d\": [607, 519, 650, 591], \"label\": \"car\"},\n {\"box_2d\": [606, 672, 646, 721], \"label\": \"car\"},\n {\"box_2d\": [387, 150, 434, 184], \"label\": \"car\"},\n {\"box_2d\": [320, 174, 379, 207], \"label\": \"car\"},\n {\"box_2d\": [238, 129, 294, 181], \"label\": \"car\"},\n {\"box_2d\": [191, 269, 258, 303], \"label\": \"car\"},\n {\"box_2d\": [92, 281, 170, 316], \"label\": \"van\"},\n {\"box_2d\": [133, 394, 198, 421], \"label\": \"car\"},\n {\"box_2d\": [238, 374, 336, 415], \"label\": \"truck\"},\n {\"box_2d\": [28, 296, 92, 323], \"label\": \"car\"},\n {\"box_2d\": [46, 239, 101, 267], \"label\": \"car\"},\n {\"box_2d\": [126, 169, 165, 229], \"label\": \"car\"},\n {\"box_2d\": [159, 167, 193, 211], \"label\": \"car\"},\n {\"box_2d\": [95, 173, 130, 230], \"label\": \"car\"},\n {\"box_2d\": [0, 191, 35, 256], \"label\": \"van\"},\n {\"box_2d\": [0, 307, 25, 333], \"label\": \"car\"},\n {\"box_2d\": [0, 381, 41, 403], \"label\": \"van\"},\n {\"box_2d\": [21, 406, 78, 431], \"label\": \"car\"},\n {\"box_2d\": [530, 272, 550, 294], \"label\": \"person\"},\n {\"box_2d\": [478, 450, 496, 461], \"label\": \"person\"},\n {\"box_2d\": [472, 464, 491, 474], \"label\": \"person\"},\n {\"box_2d\": [485, 471, 504, 481], \"label\": \"person\"},\n {\"box_2d\": [112, 246, 138, 261], \"label\": \"person\"},\n {\"box_2d\": [110, 351, 141, 362], \"label\": \"person\"},\n {\"box_2d\": [469, 84, 490, 101], \"label\": \"person\"}\n]\n```", "correct": false, "input_tokens": 1215, "output_tokens": 1013, "elapsed_seconds": 48.016457958030514, "metadata": {"match_method": "map", "num_predictions": 30, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.2892768681049347, "attempts": 1, "retries": 0, "total_seconds": 48.125}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 46, "image": "tire_2024-09-25_27_png_jpg.rf.86e579b04ca3a3e9f7a480c31239539e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [77, 272, 163, 471], \"label\": \"tire size text\"},\n {\"box_2d\": [892, 470, 954, 678], \"label\": \"tire size text\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 83, "elapsed_seconds": 112.4963609999977, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6633663177490234, "attempts": 1, "retries": 0, "total_seconds": 113.0058}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 47, "image": "Container-144_jpg.rf.4f556fc57071dc9d870c03989b923d26.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [248, 556, 276, 737], \"label\": \"shipping container number\"},\n {\"box_2d\": [283, 558, 307, 608], \"label\": \"container ISO type code\"}\n]\n```", "correct": true, "input_tokens": 1232, "output_tokens": 85, "elapsed_seconds": 15.460732374922372, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 15.4764}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 48, "image": "frame_0151_jpg.rf.6c7fef6c392aec746239d36e4257e862.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [779, 580, 847, 621], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [468, 673, 535, 709], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [349, 648, 405, 681], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [416, 569, 484, 608], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [264, 526, 319, 579], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [167, 530, 236, 566], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [16, 550, 77, 583], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 610, 56, 636], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 513, 55, 546], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [116, 427, 173, 459], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [199, 443, 258, 474], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [275, 444, 348, 485], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [492, 466, 557, 501], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [641, 369, 711, 417], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [579, 365, 646, 406], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [338, 333, 408, 372], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [216, 340, 281, 376], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [111, 335, 171, 370], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [17, 440, 55, 468], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [5, 414, 51, 444], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [5, 381, 47, 409], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 348, 48, 381], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 251, 44, 284], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [121, 237, 206, 280], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [293, 248, 355, 286], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [497, 253, 571, 297], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [469, 206, 529, 244], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [721, 236, 799, 281], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [895, 238, 962, 288], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [788, 68, 875, 130], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [610, 86, 711, 136], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [427, 83, 499, 139], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [301, 113, 377, 174], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [132, 128, 195, 171], \"label\": \"garlic on conveyor\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 1211, "elapsed_seconds": 18.254433708963916, "metadata": {"match_method": "map", "num_predictions": 34, "num_ground_truth": 27, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8790202736854553, "attempts": 1, "retries": 0, "total_seconds": 18.3927}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 49, "image": "4106884_ContLeftUpper_f_jpg.rf.92488d92926163302f246be3b53efb13.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [524, 300, 560, 323], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [529, 378, 565, 402], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [517, 224, 561, 245], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [518, 146, 558, 166], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [518, 67, 556, 87], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [417, 302, 444, 322], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [423, 379, 446, 400], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [412, 224, 444, 243], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [428, 459, 449, 479], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [238, 495, 259, 514], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [237, 417, 257, 439], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [235, 339, 255, 360], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [233, 259, 256, 283], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [233, 181, 255, 203], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [233, 102, 253, 124], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [230, 24, 253, 47], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [243, 574, 259, 594], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [531, 459, 556, 480], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [535, 616, 551, 637], \"label\": \"shipping container wall dent\"}\n]\n```", "correct": false, "input_tokens": 1219, "output_tokens": 711, "elapsed_seconds": 28.432633458054624, "metadata": {"match_method": "map", "num_predictions": 19, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.08085808902978897, "attempts": 1, "retries": 0, "total_seconds": 28.5912}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 50, "image": "img_459031286691397716_png.rf.6de9abc735878b2b2cc1f1fa95486a5f.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [7, 297, 134, 431], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [11, 545, 138, 678], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [39, 163, 177, 304], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [49, 421, 173, 558], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [48, 667, 181, 807], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [98, 286, 224, 428], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [99, 542, 222, 682], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [128, 146, 261, 293], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [134, 412, 255, 557], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [136, 669, 270, 817], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [188, 274, 316, 422], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [189, 540, 315, 687], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [222, 127, 360, 283], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [228, 407, 355, 557], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [231, 675, 366, 829], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [283, 257, 417, 413], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [287, 537, 421, 691], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [324, 102, 463, 270], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [332, 394, 462, 549], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [334, 679, 469, 841], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [392, 241, 527, 407], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [398, 537, 531, 698], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [437, 79, 577, 259], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [445, 392, 578, 553], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [447, 681, 581, 855], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [512, 224, 648, 396], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [518, 533, 651, 701], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [561, 47, 697, 242], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [568, 375, 703, 545], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [574, 686, 709, 868], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [648, 207, 786, 389], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [650, 534, 788, 711], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [696, 17, 839, 225], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [705, 369, 845, 550], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [711, 697, 849, 888], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [788, 180, 943, 375], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [791, 532, 944, 718], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [841, 0, 1000, 198], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [847, 355, 1000, 546], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [852, 707, 1000, 913], \"label\": \"empty portable gas cylinder\"}\n]\n```", "correct": true, "input_tokens": 1203, "output_tokens": 1482, "elapsed_seconds": 36.12826166593004, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 40, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 36.2424}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 51, "image": "1668147211__jpg.rf.0ee3d637cd990a070a8c1bcc234c9d5a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [54, 650, 108, 678], \"label\": \"six die\"},\n {\"box_2d\": [88, 674, 150, 707], \"label\": \"three die\"},\n {\"box_2d\": [151, 770, 204, 801], \"label\": \"two die\"},\n {\"box_2d\": [283, 740, 336, 769], \"label\": \"three die\"},\n {\"box_2d\": [291, 870, 339, 901], \"label\": \"five die\"},\n {\"box_2d\": [430, 809, 475, 835], \"label\": \"two die\"},\n {\"box_2d\": [504, 801, 560, 833], \"label\": \"four die\"},\n {\"box_2d\": [585, 798, 634, 827], \"label\": \"two die\"},\n {\"box_2d\": [654, 800, 709, 832], \"label\": \"two die\"},\n {\"box_2d\": [652, 832, 699, 862], \"label\": \"two die\"},\n {\"box_2d\": [602, 838, 646, 867], \"label\": \"one die\"},\n {\"box_2d\": [602, 879, 657, 912], \"label\": \"two die\"},\n {\"box_2d\": [503, 842, 561, 874], \"label\": \"five die\"},\n {\"box_2d\": [478, 863, 533, 894], \"label\": \"one die\"},\n {\"box_2d\": [178, 456, 229, 484], \"label\": \"one die\"},\n {\"box_2d\": [244, 458, 302, 491], \"label\": \"four die\"},\n {\"box_2d\": [239, 491, 294, 521], \"label\": \"three die\"},\n {\"box_2d\": [349, 556, 409, 588], \"label\": \"six die\"},\n {\"box_2d\": [354, 448, 411, 478], \"label\": \"two die\"},\n {\"box_2d\": [393, 419, 439, 443], \"label\": \"five die\"},\n {\"box_2d\": [332, 371, 381, 398], \"label\": \"six die\"},\n {\"box_2d\": [274, 402, 321, 426], \"label\": \"one die\"},\n {\"box_2d\": [245, 372, 304, 403], \"label\": \"two die\"},\n {\"box_2d\": [191, 366, 249, 399], \"label\": \"three die\"},\n {\"box_2d\": [228, 341, 283, 371], \"label\": \"five die\"},\n {\"box_2d\": [220, 296, 270, 325], \"label\": \"two die\"},\n {\"box_2d\": [108, 243, 162, 272], \"label\": \"three die\"},\n {\"box_2d\": [155, 255, 211, 286], \"label\": \"four die\"},\n {\"box_2d\": [252, 239, 302, 267], \"label\": \"three die\"},\n {\"box_2d\": [211, 219, 266, 252], \"label\": \"one die\"},\n {\"box_2d\": [256, 195, 314, 227], \"label\": \"four die\"},\n {\"box_2d\": [375, 194, 417, 220], \"label\": \"three die\"},\n {\"box_2d\": [434, 200, 487, 228], \"label\": \"five die\"},\n {\"box_2d\": [531, 305, 581, 335], \"label\": \"one die\"},\n {\"box_2d\": [621, 310, 672, 338], \"label\": \"one die\"},\n {\"box_2d\": [622, 177, 671, 205], \"label\": \"six die\"},\n {\"box_2d\": [639, 209, 695, 242], \"label\": \"four die\"},\n {\"box_2d\": [654, 28, 699, 57], \"label\": \"six die\"},\n {\"box_2d\": [757, 222, 816, 255], \"label\": \"five die\"},\n {\"box_2d\": [888, 113, 940, 141], \"label\": \"one die\"},\n {\"box_2d\": [603, 379, 657, 410], \"label\": \"three die\"},\n {\"box_2d\": [654, 398, 701, 425], \"label\": \"six die\"},\n {\"box_2d\": [581, 416, 629, 444], \"label\": \"four die\"},\n {\"box_2d\": [685, 426, 738, 456], \"label\": \"four die\"},\n {\"box_2d\": [664, 451, 713, 478], \"label\": \"three die\"},\n {\"box_2d\": [621, 508, 663, 533], \"label\": \"one die\"},\n {\"box_2d\": [659, 526, 710, 554], \"label\": \"four die\"},\n {\"box_2d\": [779, 472, 828, 500], \"label\": \"three die\"},\n {\"box_2d\": [778, 537, 830, 563], \"label\": \"one die\"},\n {\"box_2d\": [855, 580, 907, 609], \"label\": \"two die\"},\n {\"box_2d\": [694, 617, 749, 648], \"label\": \"three die\"}\n]\n```", "correct": true, "input_tokens": 1252, "output_tokens": 1793, "elapsed_seconds": 16.834391374955885, "metadata": {"match_method": "map", "num_predictions": 51, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8290252089500427, "attempts": 1, "retries": 0, "total_seconds": 16.8906}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 52, "image": "3533container_jpg.rf.12bfe57075507c019cfd5dc24dd08b40.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [504, 151, 560, 179], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [393, 240, 456, 263], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [377, 323, 443, 344], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [617, 405, 657, 434], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [623, 483, 661, 505], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [628, 322, 666, 343], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [686, 355, 711, 388], \"label\": \"shipping container wall dent\"}\n]\n```", "correct": false, "input_tokens": 1219, "output_tokens": 271, "elapsed_seconds": 63.77247041708324, "metadata": {"match_method": "map", "num_predictions": 7, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0891088992357254, "attempts": 1, "retries": 0, "total_seconds": 63.8941}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 53, "image": "DJI_20230529095121_0346_T_JPG_jpg.rf.a2baa2ffdce5ec84e5f5d22342f6b310.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [708, 505, 725, 517], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [703, 466, 722, 480], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [712, 591, 727, 603], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [319, 305, 333, 317], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [461, 916, 475, 931], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [828, 861, 845, 875], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [831, 902, 847, 917], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [327, 428, 339, 439], \"label\": \"solar panel hot spot\"}\n]\n```", "correct": true, "input_tokens": 1228, "output_tokens": 308, "elapsed_seconds": 5.5755318340379745, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8712871074676514, "attempts": 1, "retries": 0, "total_seconds": 5.5972}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 54, "image": "IMG_20250815_170041_jpg.rf.a65978ab35e2cb48c68d9eebdeaab87b.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [584, 309, 672, 412], \"label\": \"barcode\"},\n {\"box_2d\": [666, 0, 756, 75], \"label\": \"barcode\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 77, "elapsed_seconds": 23.14569587504957, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 23.6011}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 55, "image": "1_000070_png.rf.a431761eff2c713a18daff7bade25bde.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [779, 845, 819, 859], \"label\": \"tire spike absent\"},\n {\"box_2d\": [703, 938, 725, 945], \"label\": \"tire spike normal\"},\n {\"box_2d\": [704, 882, 738, 894], \"label\": \"tire spike normal\"},\n {\"box_2d\": [832, 799, 868, 813], \"label\": \"tire spike absent\"},\n {\"box_2d\": [789, 754, 825, 766], \"label\": \"tire spike normal\"},\n {\"box_2d\": [826, 696, 866, 710], \"label\": \"tire spike absent\"},\n {\"box_2d\": [783, 636, 815, 647], \"label\": \"tire spike absent\"},\n {\"box_2d\": [817, 574, 855, 586], \"label\": \"tire spike normal\"},\n {\"box_2d\": [768, 505, 804, 518], \"label\": \"tire spike normal\"},\n {\"box_2d\": [666, 447, 704, 461], \"label\": \"tire spike normal\"},\n {\"box_2d\": [749, 391, 783, 405], \"label\": \"tire spike absent\"},\n {\"box_2d\": [643, 333, 677, 344], \"label\": \"tire spike normal\"},\n {\"box_2d\": [730, 285, 766, 297], \"label\": \"tire spike normal\"},\n {\"box_2d\": [704, 179, 740, 190], \"label\": \"tire spike absent\"},\n {\"box_2d\": [623, 138, 653, 149], \"label\": \"tire spike normal\"},\n {\"box_2d\": [691, 104, 715, 113], \"label\": \"tire spike normal\"},\n {\"box_2d\": [592, 74, 621, 83], \"label\": \"tire spike normal\"},\n {\"box_2d\": [668, 52, 696, 62], \"label\": \"tire spike normal\"},\n {\"box_2d\": [283, 57, 309, 65], \"label\": \"tire spike normal\"},\n {\"box_2d\": [189, 91, 217, 100], \"label\": \"tire spike normal\"},\n {\"box_2d\": [160, 195, 189, 204], \"label\": \"tire spike normal\"},\n {\"box_2d\": [213, 247, 243, 259], \"label\": \"tire spike normal\"},\n {\"box_2d\": [296, 286, 332, 299], \"label\": \"tire spike normal\"},\n {\"box_2d\": [194, 353, 232, 366], \"label\": \"tire spike normal\"},\n {\"box_2d\": [306, 397, 340, 411], \"label\": \"tire spike absent\"},\n {\"box_2d\": [206, 466, 245, 480], \"label\": \"tire spike normal\"},\n {\"box_2d\": [189, 522, 228, 535], \"label\": \"tire spike normal\"},\n {\"box_2d\": [251, 594, 291, 608], \"label\": \"tire spike normal\"},\n {\"box_2d\": [221, 649, 258, 662], \"label\": \"tire spike normal\"},\n {\"box_2d\": [274, 717, 311, 728], \"label\": \"tire spike normal\"},\n {\"box_2d\": [232, 764, 268, 774], \"label\": \"tire spike normal\"},\n {\"box_2d\": [298, 820, 334, 830], \"label\": \"tire spike normal\"},\n {\"box_2d\": [383, 858, 417, 866], \"label\": \"tire spike normal\"},\n {\"box_2d\": [294, 895, 326, 903], \"label\": \"tire spike normal\"},\n {\"box_2d\": [396, 920, 421, 927], \"label\": \"tire spike normal\"},\n {\"box_2d\": [309, 945, 336, 952], \"label\": \"tire spike normal\"}\n]\n```", "correct": false, "input_tokens": 1222, "output_tokens": 1301, "elapsed_seconds": 11.964841541950591, "metadata": {"match_method": "map", "num_predictions": 36, "num_ground_truth": 46, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.18234795331954956, "attempts": 1, "retries": 0, "total_seconds": 12.0476}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 56, "image": "egg-detection_image148_jpg.rf.7ef43d25f8e9b9b7f3d805f238830ff7.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [774, 520, 853, 581], \"label\": \"egg\"},\n {\"box_2d\": [704, 617, 789, 676], \"label\": \"egg\"},\n {\"box_2d\": [752, 657, 836, 718], \"label\": \"egg\"},\n {\"box_2d\": [911, 676, 984, 732], \"label\": \"egg\"},\n {\"box_2d\": [891, 730, 978, 772], \"label\": \"egg\"},\n {\"box_2d\": [801, 698, 879, 756], \"label\": \"egg\"},\n {\"box_2d\": [739, 742, 816, 795], \"label\": \"egg\"},\n {\"box_2d\": [585, 595, 672, 658], \"label\": \"egg\"},\n {\"box_2d\": [579, 659, 667, 719], \"label\": \"egg\"},\n {\"box_2d\": [631, 699, 717, 759], \"label\": \"egg\"},\n {\"box_2d\": [624, 758, 706, 809], \"label\": \"egg\"},\n {\"box_2d\": [513, 715, 595, 769], \"label\": \"egg\"},\n {\"box_2d\": [441, 762, 552, 804], \"label\": \"egg\"},\n {\"box_2d\": [400, 631, 487, 694], \"label\": \"egg\"},\n {\"box_2d\": [407, 531, 492, 593], \"label\": \"egg\"},\n {\"box_2d\": [332, 712, 420, 771], \"label\": \"egg\"},\n {\"box_2d\": [275, 661, 360, 719], \"label\": \"egg\"},\n {\"box_2d\": [221, 698, 303, 754], \"label\": \"egg\"},\n {\"box_2d\": [111, 686, 189, 739], \"label\": \"egg\"},\n {\"box_2d\": [104, 613, 186, 675], \"label\": \"egg\"},\n {\"box_2d\": [160, 517, 239, 577], \"label\": \"egg\"},\n {\"box_2d\": [55, 569, 134, 625], \"label\": \"egg\"},\n {\"box_2d\": [19, 705, 92, 759], \"label\": \"egg\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 791, "elapsed_seconds": 107.61914199998137, "metadata": {"match_method": "map", "num_predictions": 23, "num_ground_truth": 23, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 107.7559}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 57, "image": "wood-log-detection_024_png_jpg.rf.263e49a755104b6d29dbdffe768891e9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [66, 294, 189, 434], \"label\": \"log cross-section\"},\n {\"box_2d\": [103, 412, 166, 480], \"label\": \"log cross-section\"},\n {\"box_2d\": [127, 475, 166, 502], \"label\": \"log cross-section\"},\n {\"box_2d\": [148, 444, 217, 503], \"label\": \"log cross-section\"},\n {\"box_2d\": [147, 319, 198, 377], \"label\": \"log cross-section\"},\n {\"box_2d\": [169, 386, 236, 430], \"label\": \"log cross-section\"},\n {\"box_2d\": [127, 241, 178, 300], \"label\": \"log cross-section\"},\n {\"box_2d\": [144, 281, 198, 330], \"label\": \"log cross-section\"},\n {\"box_2d\": [172, 247, 238, 320], \"label\": \"log cross-section\"},\n {\"box_2d\": [191, 320, 267, 386], \"label\": \"log cross-section\"},\n {\"box_2d\": [216, 239, 259, 287], \"label\": \"log cross-section\"},\n {\"box_2d\": [223, 294, 267, 339], \"label\": \"log cross-section\"},\n {\"box_2d\": [248, 323, 309, 369], \"label\": \"log cross-section\"},\n {\"box_2d\": [252, 247, 344, 333], \"label\": \"log cross-section\"},\n {\"box_2d\": [308, 242, 355, 306], \"label\": \"log cross-section\"},\n {\"box_2d\": [278, 352, 356, 405], \"label\": \"log cross-section\"},\n {\"box_2d\": [238, 388, 286, 434], \"label\": \"log cross-section\"},\n {\"box_2d\": [202, 422, 245, 481], \"label\": \"log cross-section\"},\n {\"box_2d\": [231, 439, 283, 486], \"label\": \"log cross-section\"},\n {\"box_2d\": [267, 420, 311, 481], \"label\": \"log cross-section\"},\n {\"box_2d\": [300, 416, 359, 498], \"label\": \"log cross-section\"},\n {\"box_2d\": [305, 392, 358, 430], \"label\": \"log cross-section\"},\n {\"box_2d\": [294, 473, 347, 520], \"label\": \"log cross-section\"},\n {\"box_2d\": [250, 491, 302, 534], \"label\": \"log cross-section\"},\n {\"box_2d\": [214, 483, 252, 522], \"label\": \"log cross-section\"},\n {\"box_2d\": [184, 511, 227, 552], \"label\": \"log cross-section\"},\n {\"box_2d\": [153, 533, 223, 600], \"label\": \"log cross-section\"},\n {\"box_2d\": [120, 597, 178, 691], \"label\": \"log cross-section\"},\n {\"box_2d\": [150, 656, 220, 728], \"label\": \"log cross-section\"},\n {\"box_2d\": [175, 595, 245, 659], \"label\": \"log cross-section\"},\n {\"box_2d\": [206, 614, 272, 686], \"label\": \"log cross-section\"},\n {\"box_2d\": [200, 686, 255, 745], \"label\": \"log cross-section\"},\n {\"box_2d\": [252, 661, 319, 738], \"label\": \"log cross-section\"},\n {\"box_2d\": [294, 675, 350, 742], \"label\": \"log cross-section\"},\n {\"box_2d\": [328, 623, 355, 691], \"label\": \"log cross-section\"},\n {\"box_2d\": [269, 616, 333, 667], \"label\": \"log cross-section\"},\n {\"box_2d\": [258, 558, 345, 628], \"label\": \"log cross-section\"},\n {\"box_2d\": [294, 527, 355, 581], \"label\": \"log cross-section\"},\n {\"box_2d\": [222, 562, 267, 598], \"label\": \"log cross-section\"},\n {\"box_2d\": [222, 519, 281, 567], \"label\": \"log cross-section\"}\n]\n```", "correct": false, "input_tokens": 1228, "output_tokens": 1491, "elapsed_seconds": 13.94007595803123, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 40, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.1422932893037796, "attempts": 1, "retries": 0, "total_seconds": 13.9629}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 58, "image": "img_458587397241176242_png.rf.41b1d861ca437ce5097848dacad76db8.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [742, 427, 868, 591], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [852, 121, 991, 300], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [736, 146, 853, 315], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [624, 169, 738, 333], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [519, 189, 634, 344], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [423, 211, 535, 348], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [332, 226, 444, 360], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [250, 245, 355, 368], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [172, 253, 274, 370], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [127, 364, 224, 480], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [147, 466, 250, 586], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [101, 585, 206, 709], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [121, 699, 232, 830], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [207, 703, 323, 839], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [183, 579, 289, 710], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [230, 461, 339, 589], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [205, 352, 311, 474], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [290, 344, 396, 469], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [319, 459, 430, 586], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [269, 579, 381, 711], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [298, 705, 417, 845], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [396, 709, 520, 858], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [363, 576, 478, 715], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [412, 452, 525, 586], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [377, 333, 490, 464], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [474, 321, 589, 456], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [578, 305, 695, 450], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [513, 444, 629, 589], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [465, 576, 583, 720], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [504, 711, 631, 868], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [622, 716, 749, 882], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [575, 576, 700, 728], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [623, 438, 743, 588], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [691, 290, 811, 450], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [811, 269, 944, 445], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [867, 413, 1000, 583], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [695, 576, 821, 735], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [819, 572, 971, 740], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [748, 722, 882, 896], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [880, 730, 1000, 914], \"label\": \"empty portable gas cylinder\"}\n]\n```", "correct": false, "input_tokens": 1208, "output_tokens": 1494, "elapsed_seconds": 51.02024783298839, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 40, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.4413309395313263, "attempts": 1, "retries": 0, "total_seconds": 51.1371}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 59, "image": "frame_0008_jpg.rf.87aed24f253375f69a3bb398f6521d18.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [219, 326, 260, 350], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [206, 510, 246, 533], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [205, 447, 247, 471], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [209, 384, 250, 409], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [117, 389, 159, 412], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [126, 333, 169, 356], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [112, 448, 152, 471], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [114, 507, 152, 530], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [28, 507, 68, 529], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [25, 452, 65, 473], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [32, 396, 68, 417], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [41, 342, 79, 363], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [499, 315, 549, 341], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [512, 376, 560, 403], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [527, 439, 574, 466], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [540, 503, 588, 530], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [654, 491, 704, 518], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [641, 425, 691, 452], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [626, 362, 675, 389], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [607, 303, 657, 327], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [723, 297, 770, 322], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [741, 357, 789, 381], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [757, 419, 805, 446], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [772, 485, 819, 511], \"label\": \"soda bottle cap\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 868, "elapsed_seconds": 77.86125779198483, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 24, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 78.4389}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 60, "image": "uav20221018_ixfZ_3857_0_png.rf.68f3022f53a4bfe08c731fb3a58473cf.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [230, 336, 307, 405], \"label\": \"banana tree\"},\n {\"box_2d\": [206, 407, 275, 470], \"label\": \"banana tree\"},\n {\"box_2d\": [283, 404, 344, 469], \"label\": \"banana tree\"},\n {\"box_2d\": [323, 326, 392, 398], \"label\": \"banana tree\"},\n {\"box_2d\": [371, 398, 439, 480], \"label\": \"banana tree\"},\n {\"box_2d\": [416, 341, 471, 391], \"label\": \"banana tree\"},\n {\"box_2d\": [447, 404, 513, 476], \"label\": \"banana tree\"},\n {\"box_2d\": [498, 323, 565, 404], \"label\": \"banana tree\"},\n {\"box_2d\": [540, 412, 599, 463], \"label\": \"banana tree\"},\n {\"box_2d\": [581, 332, 659, 396], \"label\": \"banana tree\"},\n {\"box_2d\": [632, 412, 697, 483], \"label\": \"banana tree\"},\n {\"box_2d\": [666, 340, 738, 409], \"label\": \"banana tree\"},\n {\"box_2d\": [715, 417, 783, 474], \"label\": \"banana tree\"},\n {\"box_2d\": [750, 324, 829, 402], \"label\": \"banana tree\"},\n {\"box_2d\": [800, 406, 875, 478], \"label\": \"banana tree\"},\n {\"box_2d\": [845, 340, 913, 402], \"label\": \"banana tree\"},\n {\"box_2d\": [879, 407, 949, 485], \"label\": \"banana tree\"},\n {\"box_2d\": [928, 336, 988, 399], \"label\": \"banana tree\"},\n {\"box_2d\": [971, 406, 1000, 475], \"label\": \"banana tree\"},\n {\"box_2d\": [186, 681, 255, 755], \"label\": \"banana tree\"},\n {\"box_2d\": [235, 691, 311, 764], \"label\": \"banana tree\"},\n {\"box_2d\": [278, 631, 337, 690], \"label\": \"banana tree\"},\n {\"box_2d\": [314, 693, 391, 767], \"label\": \"banana tree\"},\n {\"box_2d\": [363, 621, 444, 694], \"label\": \"banana tree\"},\n {\"box_2d\": [400, 695, 482, 772], \"label\": \"banana tree\"},\n {\"box_2d\": [454, 622, 509, 697], \"label\": \"banana tree\"},\n {\"box_2d\": [482, 697, 560, 772], \"label\": \"banana tree\"},\n {\"box_2d\": [535, 620, 608, 701], \"label\": \"banana tree\"},\n {\"box_2d\": [568, 707, 646, 776], \"label\": \"banana tree\"},\n {\"box_2d\": [621, 643, 675, 704], \"label\": \"banana tree\"},\n {\"box_2d\": [654, 699, 732, 780], \"label\": \"banana tree\"},\n {\"box_2d\": [700, 622, 769, 707], \"label\": \"banana tree\"},\n {\"box_2d\": [742, 701, 813, 778], \"label\": \"banana tree\"},\n {\"box_2d\": [788, 638, 862, 701], \"label\": \"banana tree\"},\n {\"box_2d\": [826, 697, 904, 769], \"label\": \"banana tree\"},\n {\"box_2d\": [873, 622, 938, 704], \"label\": \"banana tree\"},\n {\"box_2d\": [914, 701, 987, 765], \"label\": \"banana tree\"},\n {\"box_2d\": [960, 621, 1000, 698], \"label\": \"banana tree\"},\n {\"box_2d\": [205, 937, 263, 986], \"label\": \"banana tree\"},\n {\"box_2d\": [283, 929, 369, 995], \"label\": \"banana tree\"},\n {\"box_2d\": [377, 926, 444, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [450, 935, 532, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [540, 920, 620, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [629, 939, 695, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [712, 930, 786, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [797, 946, 863, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [880, 934, 954, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [965, 940, 1000, 995], \"label\": \"banana tree\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 1702, "elapsed_seconds": 127.01854674995411, "metadata": {"match_method": "map", "num_predictions": 48, "num_ground_truth": 47, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9578680992126465, "attempts": 1, "retries": 0, "total_seconds": 127.0847}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 61, "image": "egg-detection_image32_jpg.rf.bd04bf65691e0bae0f1d97601289a543.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [448, 427, 535, 491], \"label\": \"egg\"},\n {\"box_2d\": [177, 694, 255, 753], \"label\": \"egg\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 80, "elapsed_seconds": 85.06637858296745, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 85.2071}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 62, "image": "construction-safety_ppe_0407_jpg.rf.b54d8bba5b223e0515f3d28ff728e79a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [329, 822, 377, 862], \"label\": \"safety helmet\"},\n {\"box_2d\": [349, 646, 825, 697], \"label\": \"person\"},\n {\"box_2d\": [373, 353, 416, 382], \"label\": \"safety helmet\"},\n {\"box_2d\": [397, 578, 809, 636], \"label\": \"person\"},\n {\"box_2d\": [461, 581, 643, 631], \"label\": \"safety vest\"},\n {\"box_2d\": [308, 695, 369, 743], \"label\": \"safety helmet\"},\n {\"box_2d\": [447, 523, 647, 574], \"label\": \"safety vest\"},\n {\"box_2d\": [400, 686, 680, 766], \"label\": \"safety vest\"},\n {\"box_2d\": [377, 517, 815, 574], \"label\": \"person\"},\n {\"box_2d\": [343, 456, 704, 513], \"label\": \"person\"},\n {\"box_2d\": [425, 391, 588, 444], \"label\": \"safety vest\"},\n {\"box_2d\": [357, 405, 403, 434], \"label\": \"safety helmet\"},\n {\"box_2d\": [417, 456, 613, 509], \"label\": \"safety vest\"},\n {\"box_2d\": [332, 809, 896, 894], \"label\": \"person\"},\n {\"box_2d\": [348, 654, 391, 683], \"label\": \"safety helmet\"},\n {\"box_2d\": [375, 333, 828, 419], \"label\": \"person\"},\n {\"box_2d\": [359, 391, 780, 446], \"label\": \"person\"},\n {\"box_2d\": [448, 338, 636, 392], \"label\": \"safety vest\"},\n {\"box_2d\": [399, 591, 445, 618], \"label\": \"safety helmet\"},\n {\"box_2d\": [343, 464, 387, 495], \"label\": \"safety helmet\"},\n {\"box_2d\": [433, 647, 608, 695], \"label\": \"safety vest\"},\n {\"box_2d\": [377, 535, 435, 567], \"label\": \"safety helmet\"},\n {\"box_2d\": [416, 827, 637, 892], \"label\": \"safety vest\"},\n {\"box_2d\": [311, 614, 991, 767], \"label\": \"person\"}\n]\n```", "correct": true, "input_tokens": 1220, "output_tokens": 844, "elapsed_seconds": 13.465357040986419, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 28, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8547855019569397, "attempts": 1, "retries": 0, "total_seconds": 13.5055}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 63, "image": "IMG_4931_jpg.rf.58c129944a1f2b663c55dbd43e27cf91.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [598, 249, 646, 274], \"label\": \"face\"},\n {\"box_2d\": [632, 341, 676, 366], \"label\": \"face\"},\n {\"box_2d\": [417, 252, 449, 267], \"label\": \"face\"},\n {\"box_2d\": [432, 281, 463, 297], \"label\": \"face\"},\n {\"box_2d\": [423, 376, 451, 391], \"label\": \"face\"},\n {\"box_2d\": [336, 400, 359, 412], \"label\": \"face\"},\n {\"box_2d\": [351, 429, 374, 443], \"label\": \"face\"},\n {\"box_2d\": [307, 492, 325, 502], \"label\": \"face\"},\n {\"box_2d\": [274, 551, 294, 561], \"label\": \"face\"},\n {\"box_2d\": [355, 597, 379, 610], \"label\": \"face\"},\n {\"box_2d\": [319, 634, 338, 644], \"label\": \"face\"},\n {\"box_2d\": [345, 646, 365, 656], \"label\": \"face\"},\n {\"box_2d\": [365, 623, 385, 636], \"label\": \"face\"},\n {\"box_2d\": [294, 606, 314, 617], \"label\": \"face\"},\n {\"box_2d\": [294, 556, 312, 566], \"label\": \"face\"},\n {\"box_2d\": [318, 524, 338, 535], \"label\": \"face\"},\n {\"box_2d\": [299, 635, 316, 644], \"label\": \"face\"},\n {\"box_2d\": [288, 583, 305, 592], \"label\": \"face\"},\n {\"box_2d\": [357, 756, 377, 767], \"label\": \"face\"},\n {\"box_2d\": [354, 726, 374, 736], \"label\": \"face\"},\n {\"box_2d\": [336, 695, 357, 706], \"label\": \"face\"},\n {\"box_2d\": [342, 614, 365, 624], \"label\": \"face\"},\n {\"box_2d\": [269, 522, 287, 532], \"label\": \"face\"},\n {\"box_2d\": [308, 669, 332, 681], \"label\": \"face\"},\n {\"box_2d\": [296, 526, 316, 537], \"label\": \"face\"},\n {\"box_2d\": [299, 618, 321, 628], \"label\": \"face\"},\n {\"box_2d\": [306, 645, 326, 655], \"label\": \"face\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 930, "elapsed_seconds": 125.29272708308417, "metadata": {"match_method": "map", "num_predictions": 27, "num_ground_truth": 28, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8502970337867737, "attempts": 1, "retries": 0, "total_seconds": 125.7821}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 64, "image": "tile_232_jpg.rf.d215d900b9cd862d3217f88435d7ad8a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [666, 779, 738, 976], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [586, 405, 650, 524], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [624, 540, 725, 749], \"label\": \"ship in SAR satellite image\"}\n]\n```", "correct": true, "input_tokens": 1229, "output_tokens": 126, "elapsed_seconds": 6.267301874933764, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 6.3042}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 65, "image": "IMG_20250815_164441_jpg.rf.3c12e140b11a4091c99d31ed66a86850.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [598, 38, 622, 66], \"label\": \"barcode\"},\n {\"box_2d\": [832, 41, 885, 69], \"label\": \"barcode\"},\n {\"box_2d\": [832, 214, 856, 241], \"label\": \"barcode\"},\n {\"box_2d\": [603, 230, 628, 258], \"label\": \"barcode\"},\n {\"box_2d\": [514, 208, 567, 236], \"label\": \"barcode\"},\n {\"box_2d\": [504, 323, 557, 352], \"label\": \"barcode\"},\n {\"box_2d\": [612, 372, 637, 400], \"label\": \"barcode\"},\n {\"box_2d\": [864, 396, 890, 424], \"label\": \"barcode\"},\n {\"box_2d\": [867, 526, 891, 552], \"label\": \"barcode\"},\n {\"box_2d\": [615, 519, 640, 547], \"label\": \"barcode\"},\n {\"box_2d\": [500, 486, 524, 513], \"label\": \"barcode\"},\n {\"box_2d\": [507, 629, 559, 657], \"label\": \"barcode\"},\n {\"box_2d\": [621, 666, 646, 694], \"label\": \"barcode\"},\n {\"box_2d\": [865, 653, 888, 680], \"label\": \"barcode\"},\n {\"box_2d\": [630, 838, 654, 865], \"label\": \"barcode\"},\n {\"box_2d\": [535, 839, 588, 866], \"label\": \"barcode\"},\n {\"box_2d\": [92, 637, 149, 665], \"label\": \"barcode\"},\n {\"box_2d\": [181, 510, 235, 538], \"label\": \"barcode\"},\n {\"box_2d\": [155, 418, 181, 446], \"label\": \"barcode\"},\n {\"box_2d\": [146, 261, 203, 290], \"label\": \"barcode\"},\n {\"box_2d\": [634, 978, 656, 1000], \"label\": \"barcode\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 722, "elapsed_seconds": 52.42001095798332, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 21, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 52.9104}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 66, "image": "car-part-detection_Car-damages-128_png_jpg.rf.e07bc73742c49cec70d8b7dc538a39d2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [553, 56, 773, 113], \"label\": \"front bumper\"},\n {\"box_2d\": [512, 70, 581, 102], \"label\": \"headlight\"},\n {\"box_2d\": [366, 70, 502, 340], \"label\": \"hood\"},\n {\"box_2d\": [227, 298, 417, 458], \"label\": \"windshield\"},\n {\"box_2d\": [343, 378, 419, 419], \"label\": \"mirror\"},\n {\"box_2d\": [215, 348, 419, 591], \"label\": \"front window\"},\n {\"box_2d\": [213, 316, 718, 593], \"label\": \"front door\"},\n {\"box_2d\": [213, 562, 701, 816], \"label\": \"back door\"},\n {\"box_2d\": [213, 596, 396, 816], \"label\": \"back window\"},\n {\"box_2d\": [243, 864, 373, 922], \"label\": \"back windshield\"},\n {\"box_2d\": [347, 895, 481, 932], \"label\": \"tail light\"},\n {\"box_2d\": [468, 848, 720, 949], \"label\": \"back bumper\"}\n]\n```", "correct": true, "input_tokens": 1224, "output_tokens": 427, "elapsed_seconds": 6.635821874951944, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 13, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9587457776069641, "attempts": 1, "retries": 0, "total_seconds": 6.6587}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 67, "image": "Lego_73_low_jpeg.rf.bf207a14dd8d49e9b00aae2e1a8886e1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [715, 396, 756, 496], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [720, 634, 782, 731], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [637, 940, 725, 1000], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [771, 895, 835, 969], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [706, 847, 790, 929], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [569, 779, 651, 850], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [528, 850, 622, 946], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [493, 798, 567, 862], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [592, 588, 652, 691], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [528, 536, 603, 622], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [588, 430, 652, 529], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [607, 294, 657, 409], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [547, 393, 626, 484], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [455, 271, 550, 329], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [704, 94, 806, 170], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [398, 41, 496, 114], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [228, 44, 305, 146], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [62, 204, 132, 296], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [188, 240, 258, 333], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [202, 454, 258, 557], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [105, 519, 182, 616], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [37, 680, 136, 786], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [233, 669, 319, 738], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [199, 764, 300, 823], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [186, 811, 287, 857], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [128, 843, 236, 885], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [160, 941, 247, 1000], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [387, 809, 469, 877], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [410, 728, 485, 811], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [387, 682, 467, 773], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [379, 631, 476, 689], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [414, 428, 482, 536], \"label\": \"lego 4x2 brick\"}\n]\n```", "correct": true, "input_tokens": 1244, "output_tokens": 1257, "elapsed_seconds": 15.79571437498089, "metadata": {"match_method": "map", "num_predictions": 32, "num_ground_truth": 32, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8571507334709167, "attempts": 1, "retries": 0, "total_seconds": 15.8791}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 68, "image": "IMG_6646_jpeg_jpg.rf.bb15616ff058bc9ba8f9683f61ab5fbb.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [345, 336, 410, 505], \"label\": \"green poker chip\"},\n {\"box_2d\": [389, 337, 427, 505], \"label\": \"green poker chip\"},\n {\"box_2d\": [404, 340, 444, 508], \"label\": \"green poker chip\"},\n {\"box_2d\": [416, 345, 459, 513], \"label\": \"green poker chip\"},\n {\"box_2d\": [437, 349, 476, 516], \"label\": \"green poker chip\"},\n {\"box_2d\": [453, 355, 492, 515], \"label\": \"green poker chip\"},\n {\"box_2d\": [450, 343, 510, 508], \"label\": \"green poker chip\"},\n {\"box_2d\": [311, 530, 369, 710], \"label\": \"green poker chip\"},\n {\"box_2d\": [346, 530, 386, 706], \"label\": \"green poker chip\"},\n {\"box_2d\": [358, 529, 402, 706], \"label\": \"green poker chip\"},\n {\"box_2d\": [377, 533, 419, 706], \"label\": \"green poker chip\"},\n {\"box_2d\": [393, 533, 437, 706], \"label\": \"green poker chip\"},\n {\"box_2d\": [407, 532, 453, 704], \"label\": \"green poker chip\"},\n {\"box_2d\": [423, 532, 468, 701], \"label\": \"green poker chip\"},\n {\"box_2d\": [437, 530, 483, 698], \"label\": \"green poker chip\"},\n {\"box_2d\": [448, 529, 499, 695], \"label\": \"green poker chip\"},\n {\"box_2d\": [459, 548, 521, 718], \"label\": \"green poker chip\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 624, "elapsed_seconds": 32.10555887501687, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 17, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 32.1295}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 69, "image": "41_jpg.rf.2cb4080a10f215e4bd4d6ed6d4ea3e68.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [234, 236, 545, 323], \"label\": \"blood sample tube\"},\n {\"box_2d\": [469, 178, 703, 381], \"label\": \"blood sample tube\"},\n {\"box_2d\": [548, 336, 731, 561], \"label\": \"blood sample tube\"},\n {\"box_2d\": [555, 416, 736, 642], \"label\": \"blood sample tube\"},\n {\"box_2d\": [336, 377, 603, 550], \"label\": \"blood sample tube\"},\n {\"box_2d\": [356, 472, 648, 622], \"label\": \"blood sample tube\"},\n {\"box_2d\": [231, 497, 536, 620], \"label\": \"blood sample tube\"},\n {\"box_2d\": [92, 330, 345, 512], \"label\": \"blood sample tube\"},\n {\"box_2d\": [303, 616, 609, 747], \"label\": \"blood sample tube\"},\n {\"box_2d\": [395, 633, 684, 791], \"label\": \"blood sample tube\"},\n {\"box_2d\": [366, 720, 681, 845], \"label\": \"blood sample tube\"},\n {\"box_2d\": [345, 830, 680, 886], \"label\": \"blood sample tube\"},\n {\"box_2d\": [353, 881, 686, 928], \"label\": \"blood sample tube\"},\n {\"box_2d\": [673, 672, 738, 928], \"label\": \"blood sample tube\"},\n {\"box_2d\": [173, 631, 275, 886], \"label\": \"blood sample tube\"},\n {\"box_2d\": [22, 869, 355, 919], \"label\": \"blood sample tube\"},\n {\"box_2d\": [134, 466, 200, 709], \"label\": \"blood sample tube\"},\n {\"box_2d\": [77, 384, 144, 622], \"label\": \"blood sample tube\"},\n {\"box_2d\": [75, 627, 141, 878], \"label\": \"blood sample tube\"},\n {\"box_2d\": [20, 622, 83, 866], \"label\": \"blood sample tube\"},\n {\"box_2d\": [23, 384, 86, 623], \"label\": \"blood sample tube\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 760, "elapsed_seconds": 37.57854575000238, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 21, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 37.6066}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 70, "image": "construction-safety_ppe_0710_jpg.rf.d335438ef5819cfad67cee1d9e8c6eab.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [219, 314, 865, 444], \"label\": \"person\"},\n {\"box_2d\": [173, 47, 892, 184], \"label\": \"person\"},\n {\"box_2d\": [278, 571, 336, 626], \"label\": \"safety helmet\"},\n {\"box_2d\": [224, 177, 297, 245], \"label\": \"safety helmet\"},\n {\"box_2d\": [211, 700, 267, 754], \"label\": \"safety helmet\"},\n {\"box_2d\": [329, 326, 560, 424], \"label\": \"safety vest\"},\n {\"box_2d\": [389, 557, 620, 649], \"label\": \"safety vest\"},\n {\"box_2d\": [170, 104, 232, 162], \"label\": \"safety helmet\"},\n {\"box_2d\": [222, 433, 839, 567], \"label\": \"person\"},\n {\"box_2d\": [279, 543, 888, 673], \"label\": \"person\"},\n {\"box_2d\": [221, 783, 297, 858], \"label\": \"safety helmet\"},\n {\"box_2d\": [319, 668, 523, 779], \"label\": \"safety vest\"},\n {\"box_2d\": [191, 278, 246, 330], \"label\": \"safety helmet\"},\n {\"box_2d\": [221, 461, 281, 515], \"label\": \"safety helmet\"},\n {\"box_2d\": [283, 76, 517, 179], \"label\": \"safety vest\"},\n {\"box_2d\": [191, 246, 836, 355], \"label\": \"person\"},\n {\"box_2d\": [224, 740, 962, 929], \"label\": \"person\"},\n {\"box_2d\": [216, 347, 275, 403], \"label\": \"safety helmet\"},\n {\"box_2d\": [336, 765, 571, 894], \"label\": \"safety vest\"},\n {\"box_2d\": [213, 649, 868, 796], \"label\": \"person\"},\n {\"box_2d\": [327, 451, 540, 547], \"label\": \"safety vest\"},\n {\"box_2d\": [298, 259, 512, 343], \"label\": \"safety vest\"},\n {\"box_2d\": [341, 168, 588, 273], \"label\": \"safety vest\"},\n {\"box_2d\": [229, 149, 895, 283], \"label\": \"person\"}\n]\n```", "correct": true, "input_tokens": 1222, "output_tokens": 842, "elapsed_seconds": 16.14538287499454, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 24, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 16.2036}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 71, "image": "4103456_ContLeftUpper_f_jpg.rf.6635963edc568c350879157eaf0b4b06.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [535, 100, 560, 121], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [556, 260, 577, 281], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [367, 258, 393, 279], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [397, 17, 421, 38], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [399, 59, 434, 80], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [387, 139, 426, 160], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [380, 178, 412, 200], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [434, 259, 463, 280], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [367, 339, 393, 359], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [425, 340, 456, 360], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [343, 419, 380, 439], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [436, 420, 474, 441], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [349, 501, 380, 521], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [540, 20, 568, 41], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [529, 182, 579, 202], \"label\": \"shipping container wall dent\"}\n]\n```", "correct": false, "input_tokens": 1255, "output_tokens": 561, "elapsed_seconds": 12.278626709012315, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 20, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.08952145278453827, "attempts": 1, "retries": 0, "total_seconds": 12.4004}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 72, "image": "V000087_0_0-Drive-Shaft_jpeg_jpg.rf.148a90e2fb96f98fb22ea082d09655d1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [799, 92, 968, 956], \"label\": \"technical drawing table\"},\n {\"box_2d\": [169, 349, 214, 449], \"label\": \"surface roughness symbol\"},\n {\"box_2d\": [161, 434, 221, 502], \"label\": \"dimension annotation\"},\n {\"box_2d\": [166, 493, 241, 571], \"label\": \"dimension annotation\"},\n {\"box_2d\": [183, 554, 206, 634], \"label\": \"dimension annotation\"},\n {\"box_2d\": [264, 576, 286, 668], \"label\": \"dimension annotation\"},\n {\"box_2d\": [263, 488, 287, 554], \"label\": \"dimension annotation\"},\n {\"box_2d\": [294, 434, 319, 578], \"label\": \"dimension annotation\"},\n {\"box_2d\": [293, 311, 319, 434], \"label\": \"dimension annotation\"},\n {\"box_2d\": [153, 669, 286, 853], \"label\": \"dimension annotation\"},\n {\"box_2d\": [141, 728, 287, 907], \"label\": \"dimension annotation\"},\n {\"box_2d\": [512, 216, 538, 578], \"label\": \"dimension annotation\"},\n {\"box_2d\": [471, 591, 517, 625], \"label\": \"dimension annotation\"},\n {\"box_2d\": [436, 591, 474, 625], \"label\": \"dimension annotation\"},\n {\"box_2d\": [428, 632, 484, 667], \"label\": \"dimension annotation\"}\n]\n```", "correct": false, "input_tokens": 1237, "output_tokens": 538, "elapsed_seconds": 19.858217792003416, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.666666567325592, "attempts": 1, "retries": 0, "total_seconds": 19.8735}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 73, "image": "1_000290_png.rf.2ed72f4c5f09c4e50e5326dbdb424cd7.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [760, 204, 777, 232], \"label\": \"tire spike normal\"},\n {\"box_2d\": [828, 319, 845, 349], \"label\": \"tire spike normal\"},\n {\"box_2d\": [891, 487, 918, 521], \"label\": \"tire spike absent\"},\n {\"box_2d\": [656, 173, 678, 200], \"label\": \"tire spike normal\"},\n {\"box_2d\": [536, 246, 560, 277], \"label\": \"tire spike normal\"},\n {\"box_2d\": [644, 419, 663, 449], \"label\": \"tire spike absent\"},\n {\"box_2d\": [696, 571, 712, 597], \"label\": \"tire spike normal\"},\n {\"box_2d\": [882, 668, 898, 697], \"label\": \"tire spike normal\"},\n {\"box_2d\": [928, 796, 947, 842], \"label\": \"tire spike absent\"},\n {\"box_2d\": [815, 783, 839, 814], \"label\": \"tire spike normal\"},\n {\"box_2d\": [708, 816, 725, 845], \"label\": \"tire spike normal\"},\n {\"box_2d\": [585, 740, 608, 770], \"label\": \"tire spike normal\"},\n {\"box_2d\": [500, 789, 521, 818], \"label\": \"tire spike normal\"},\n {\"box_2d\": [495, 591, 515, 622], \"label\": \"tire spike normal\"},\n {\"box_2d\": [451, 398, 467, 427], \"label\": \"tire spike normal\"},\n {\"box_2d\": [459, 201, 476, 229], \"label\": \"tire spike normal\"},\n {\"box_2d\": [383, 366, 398, 397], \"label\": \"tire spike normal\"},\n {\"box_2d\": [303, 219, 320, 244], \"label\": \"tire spike normal\"},\n {\"box_2d\": [219, 274, 232, 299], \"label\": \"tire spike normal\"},\n {\"box_2d\": [207, 431, 219, 458], \"label\": \"tire spike normal\"},\n {\"box_2d\": [298, 496, 313, 524], \"label\": \"tire spike normal\"},\n {\"box_2d\": [425, 623, 442, 653], \"label\": \"tire spike normal\"},\n {\"box_2d\": [339, 781, 358, 809], \"label\": \"tire spike normal\"},\n {\"box_2d\": [248, 724, 266, 753], \"label\": \"tire spike normal\"},\n {\"box_2d\": [237, 565, 250, 593], \"label\": \"tire spike normal\"},\n {\"box_2d\": [160, 648, 171, 676], \"label\": \"tire spike normal\"},\n {\"box_2d\": [135, 748, 148, 773], \"label\": \"tire spike normal\"},\n {\"box_2d\": [96, 773, 108, 796], \"label\": \"tire spike normal\"},\n {\"box_2d\": [82, 565, 89, 588], \"label\": \"tire spike normal\"},\n {\"box_2d\": [137, 352, 146, 377], \"label\": \"tire spike normal\"},\n {\"box_2d\": [116, 260, 125, 285], \"label\": \"tire spike normal\"}\n]\n```", "correct": false, "input_tokens": 1215, "output_tokens": 1125, "elapsed_seconds": 27.38945912499912, "metadata": {"match_method": "map", "num_predictions": 31, "num_ground_truth": 35, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0256525669246912, "attempts": 1, "retries": 0, "total_seconds": 27.4496}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 74, "image": "GP010212_JPG_jpg.rf.6a034cdac286be2f0a162b6bfc04e1c0.jpg", "expected": "", "predicted": "```json\n[{\"box_2d\": [231, 498, 272, 720], \"label\": \"carrot\"}, {\"box_2d\": [256, 447, 314, 608], \"label\": \"carrot\"}, {\"box_2d\": [256, 200, 362, 384], \"label\": \"carrot\"}, {\"box_2d\": [270, 231, 377, 438], \"label\": \"carrot\"}, {\"box_2d\": [278, 508, 369, 681], \"label\": \"carrot\"}, {\"box_2d\": [322, 488, 391, 648], \"label\": \"carrot\"}, {\"box_2d\": [298, 675, 453, 700], \"label\": \"carrot\"}, {\"box_2d\": [339, 431, 412, 584], \"label\": \"carrot\"}, {\"box_2d\": [364, 248, 408, 488], \"label\": \"carrot\"}, {\"box_2d\": [378, 523, 442, 686], \"label\": \"carrot\"}, {\"box_2d\": [397, 327, 436, 505], \"label\": \"carrot\"}, {\"box_2d\": [355, 95, 489, 258], \"label\": \"carrot\"}, {\"box_2d\": [372, 181, 509, 289], \"label\": \"carrot\"}, {\"box_2d\": [427, 369, 455, 514], \"label\": \"carrot\"}, {\"box_2d\": [427, 281, 520, 495], \"label\": \"carrot\"}, {\"box_2d\": [470, 286, 527, 453], \"label\": \"carrot\"}, {\"box_2d\": [453, 441, 489, 650], \"label\": \"carrot\"}, {\"box_2d\": [456, 406, 525, 567], \"label\": \"carrot\"}, {\"box_2d\": [478, 208, 622, 353], \"label\": \"carrot\"}, {\"box_2d\": [497, 108, 634, 236], \"label\": \"carrot\"}, {\"box_2d\": [488, 616, 567, 806], \"label\": \"carrot\"}, {\"box_2d\": [523, 427, 553, 591], \"label\": \"carrot\"}, {\"box_2d\": [531, 333, 589, 586], \"label\": \"carrot\"}, {\"box_2d\": [573, 523, 609, 722], \"label\": \"carrot\"}, {\"box_2d\": [608, 559, 644, 720], \"label\": \"carrot\"}, {\"box_2d\": [628, 523, 688, 767], \"label\": \"carrot\"}, {\"box_2d\": [533, 300, 661, 492], \"label\": \"carrot\"}, {\"box_2d\": [630, 206, 669, 427], \"label\": \"carrot\"}]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 904, "elapsed_seconds": 45.89999862504192, "metadata": {"match_method": "map", "num_predictions": 28, "num_ground_truth": 28, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 45.9254}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 75, "image": "egg-detection_image25_jpg.rf.5c4d3f7ce6887203cc33b5f86e849ef9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [76, 752, 144, 797], \"label\": \"egg\"},\n {\"box_2d\": [116, 715, 184, 764], \"label\": \"egg\"},\n {\"box_2d\": [92, 797, 158, 840], \"label\": \"egg\"},\n {\"box_2d\": [244, 396, 326, 452], \"label\": \"egg\"},\n {\"box_2d\": [264, 689, 349, 750], \"label\": \"egg\"},\n {\"box_2d\": [326, 661, 402, 711], \"label\": \"egg\"},\n {\"box_2d\": [290, 811, 362, 854], \"label\": \"egg\"},\n {\"box_2d\": [400, 809, 471, 853], \"label\": \"egg\"},\n {\"box_2d\": [373, 581, 464, 632], \"label\": \"egg\"},\n {\"box_2d\": [495, 444, 579, 504], \"label\": \"egg\"},\n {\"box_2d\": [565, 521, 646, 579], \"label\": \"egg\"},\n {\"box_2d\": [617, 485, 718, 532], \"label\": \"egg\"},\n {\"box_2d\": [685, 431, 760, 488], \"label\": \"egg\"},\n {\"box_2d\": [855, 601, 931, 653], \"label\": \"egg\"},\n {\"box_2d\": [848, 677, 920, 730], \"label\": \"egg\"},\n {\"box_2d\": [889, 710, 962, 755], \"label\": \"egg\"},\n {\"box_2d\": [837, 745, 903, 788], \"label\": \"egg\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 588, "elapsed_seconds": 33.30905087501742, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 17, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 33.4359}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 76, "image": "94D76C4A-9650-486B-8278-406A692F552F_jpg.rf.441749660b1bde146bfdbfa517d4e058.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [732, 206, 777, 246], \"label\": \"pill\"},\n {\"box_2d\": [614, 344, 659, 389], \"label\": \"pill\"},\n {\"box_2d\": [526, 303, 570, 346], \"label\": \"pill\"},\n {\"box_2d\": [468, 330, 511, 374], \"label\": \"pill\"},\n {\"box_2d\": [469, 281, 511, 326], \"label\": \"pill\"},\n {\"box_2d\": [433, 238, 476, 282], \"label\": \"pill\"},\n {\"box_2d\": [426, 286, 469, 330], \"label\": \"pill\"},\n {\"box_2d\": [387, 300, 429, 344], \"label\": \"pill\"},\n {\"box_2d\": [405, 360, 448, 404], \"label\": \"pill\"},\n {\"box_2d\": [363, 338, 407, 382], \"label\": \"pill\"},\n {\"box_2d\": [345, 276, 388, 319], \"label\": \"pill\"},\n {\"box_2d\": [513, 403, 557, 447], \"label\": \"pill\"},\n {\"box_2d\": [416, 425, 459, 469], \"label\": \"pill\"},\n {\"box_2d\": [385, 456, 428, 499], \"label\": \"pill\"},\n {\"box_2d\": [322, 434, 366, 477], \"label\": \"pill\"},\n {\"box_2d\": [308, 474, 352, 517], \"label\": \"pill\"},\n {\"box_2d\": [269, 462, 311, 505], \"label\": \"pill\"},\n {\"box_2d\": [234, 436, 277, 479], \"label\": \"pill\"},\n {\"box_2d\": [196, 358, 239, 402], \"label\": \"pill\"},\n {\"box_2d\": [188, 414, 232, 457], \"label\": \"pill\"},\n {\"box_2d\": [181, 490, 225, 533], \"label\": \"pill\"},\n {\"box_2d\": [163, 577, 206, 621], \"label\": \"pill\"},\n {\"box_2d\": [165, 623, 209, 667], \"label\": \"pill\"},\n {\"box_2d\": [198, 661, 241, 706], \"label\": \"pill\"},\n {\"box_2d\": [263, 562, 307, 605], \"label\": \"pill\"},\n {\"box_2d\": [269, 606, 313, 649], \"label\": \"pill\"},\n {\"box_2d\": [298, 661, 342, 706], \"label\": \"pill\"},\n {\"box_2d\": [317, 591, 361, 635], \"label\": \"pill\"},\n {\"box_2d\": [343, 639, 386, 684], \"label\": \"pill\"},\n {\"box_2d\": [361, 708, 405, 753], \"label\": \"pill\"},\n {\"box_2d\": [321, 518, 365, 561], \"label\": \"pill\"},\n {\"box_2d\": [361, 499, 404, 542], \"label\": \"pill\"},\n {\"box_2d\": [360, 542, 403, 586], \"label\": \"pill\"},\n {\"box_2d\": [386, 579, 429, 623], \"label\": \"pill\"},\n {\"box_2d\": [387, 624, 430, 669], \"label\": \"pill\"},\n {\"box_2d\": [408, 667, 452, 712], \"label\": \"pill\"},\n {\"box_2d\": [455, 676, 499, 721], \"label\": \"pill\"},\n {\"box_2d\": [496, 634, 540, 679], \"label\": \"pill\"},\n {\"box_2d\": [485, 575, 529, 620], \"label\": \"pill\"},\n {\"box_2d\": [443, 586, 487, 631], \"label\": \"pill\"},\n {\"box_2d\": [423, 550, 466, 593], \"label\": \"pill\"},\n {\"box_2d\": [409, 510, 451, 553], \"label\": \"pill\"},\n {\"box_2d\": [451, 518, 495, 561], \"label\": \"pill\"},\n {\"box_2d\": [499, 486, 542, 530], \"label\": \"pill\"},\n {\"box_2d\": [602, 660, 648, 706], \"label\": \"pill\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 1542, "elapsed_seconds": 114.17811166599859, "metadata": {"match_method": "map", "num_predictions": 45, "num_ground_truth": 45, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 114.643}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 77, "image": "IMG_3989_JPG.rf.c4cc3b74f996b28db8e9373b455775a3.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [213, 338, 229, 346], \"label\": \"face\"},\n {\"box_2d\": [205, 311, 224, 321], \"label\": \"face\"},\n {\"box_2d\": [199, 277, 217, 286], \"label\": \"face\"},\n {\"box_2d\": [199, 249, 223, 258], \"label\": \"face\"},\n {\"box_2d\": [243, 468, 259, 476], \"label\": \"face\"},\n {\"box_2d\": [269, 461, 286, 470], \"label\": \"face\"},\n {\"box_2d\": [306, 383, 330, 394], \"label\": \"face\"},\n {\"box_2d\": [303, 333, 326, 344], \"label\": \"face\"},\n {\"box_2d\": [419, 415, 447, 429], \"label\": \"face\"},\n {\"box_2d\": [401, 599, 421, 610], \"label\": \"face\"},\n {\"box_2d\": [408, 623, 426, 634], \"label\": \"face\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 386, "elapsed_seconds": 77.65271920897067, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9108911156654358, "attempts": 1, "retries": 0, "total_seconds": 78.1328}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 78, "image": "basketball-player-detection_boston-celtics-new-york-knicks-game-4-q1-01-22-01-16-0112_png.rf.813de841eef35ee5de0aa209e2d3e51f.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [517, 400, 773, 452], \"label\": \"player\"},\n {\"box_2d\": [562, 431, 581, 444], \"label\": \"jersey number\"},\n {\"box_2d\": [397, 265, 415, 276], \"label\": \"jersey number\"},\n {\"box_2d\": [513, 720, 728, 787], \"label\": \"player\"},\n {\"box_2d\": [686, 577, 871, 623], \"label\": \"referee\"},\n {\"box_2d\": [278, 591, 463, 635], \"label\": \"player\"},\n {\"box_2d\": [336, 379, 355, 388], \"label\": \"jersey number\"},\n {\"box_2d\": [572, 754, 590, 761], \"label\": \"jersey number\"},\n {\"box_2d\": [291, 350, 491, 410], \"label\": \"player\"},\n {\"box_2d\": [627, 821, 823, 871], \"label\": \"player\"},\n {\"box_2d\": [244, 0, 434, 46], \"label\": \"referee\"},\n {\"box_2d\": [307, 178, 597, 227], \"label\": \"player\"},\n {\"box_2d\": [294, 217, 584, 319], \"label\": \"player\"},\n {\"box_2d\": [742, 597, 765, 608], \"label\": \"jersey number\"},\n {\"box_2d\": [219, 226, 251, 245], \"label\": \"basketball\"},\n {\"box_2d\": [694, 840, 721, 853], \"label\": \"jersey number\"},\n {\"box_2d\": [410, 182, 432, 188], \"label\": \"jersey number\"},\n {\"box_2d\": [230, 304, 419, 358], \"label\": \"player\"},\n {\"box_2d\": [294, 217, 584, 319], \"label\": \"player taking jump shot\"},\n {\"box_2d\": [271, 768, 459, 804], \"label\": \"referee\"},\n {\"box_2d\": [307, 178, 597, 227], \"label\": \"player taking jump shot\"},\n {\"box_2d\": [607, 250, 881, 316], \"label\": \"player\"},\n {\"box_2d\": [224, 610, 376, 646], \"label\": \"player\"},\n {\"box_2d\": [273, 628, 290, 634], \"label\": \"jersey number\"},\n {\"box_2d\": [225, 715, 242, 744], \"label\": \"basket rim\"},\n {\"box_2d\": [678, 279, 706, 290], \"label\": \"jersey number\"}\n]\n```", "correct": true, "input_tokens": 1251, "output_tokens": 912, "elapsed_seconds": 33.88893904094584, "metadata": {"match_method": "map", "num_predictions": 26, "num_ground_truth": 25, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8689035177230835, "attempts": 1, "retries": 0, "total_seconds": 34.0191}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 79, "image": "Screenshot-2024-05-16-150258_png.rf.730fbfcbd2cdbb24d8003d2a2cd88782.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [230, 901, 268, 945], \"label\": \"bullet hole\"},\n {\"box_2d\": [105, 896, 134, 926], \"label\": \"bullet hole\"},\n {\"box_2d\": [24, 882, 53, 916], \"label\": \"bullet hole\"},\n {\"box_2d\": [56, 767, 89, 801], \"label\": \"bullet hole\"},\n {\"box_2d\": [140, 814, 175, 851], \"label\": \"bullet hole\"},\n {\"box_2d\": [158, 682, 193, 718], \"label\": \"bullet hole\"},\n {\"box_2d\": [236, 738, 270, 773], \"label\": \"bullet hole\"},\n {\"box_2d\": [324, 796, 360, 838], \"label\": \"bullet hole\"},\n {\"box_2d\": [349, 976, 383, 999], \"label\": \"bullet hole\"},\n {\"box_2d\": [397, 725, 431, 765], \"label\": \"bullet hole\"},\n {\"box_2d\": [451, 820, 483, 854], \"label\": \"bullet hole\"},\n {\"box_2d\": [432, 617, 466, 657], \"label\": \"bullet hole\"},\n {\"box_2d\": [485, 695, 518, 735], \"label\": \"bullet hole\"},\n {\"box_2d\": [528, 787, 560, 830], \"label\": \"bullet hole\"},\n {\"box_2d\": [250, 481, 278, 512], \"label\": \"bullet hole\"},\n {\"box_2d\": [182, 345, 214, 377], \"label\": \"bullet hole\"},\n {\"box_2d\": [169, 191, 201, 226], \"label\": \"bullet hole\"},\n {\"box_2d\": [112, 101, 144, 135], \"label\": \"bullet hole\"},\n {\"box_2d\": [64, 13, 96, 44], \"label\": \"bullet hole\"},\n {\"box_2d\": [335, 0, 365, 24], \"label\": \"bullet hole\"},\n {\"box_2d\": [439, 224, 467, 254], \"label\": \"bullet hole\"},\n {\"box_2d\": [700, 416, 732, 450], \"label\": \"bullet hole\"},\n {\"box_2d\": [660, 684, 691, 718], \"label\": \"bullet hole\"},\n {\"box_2d\": [721, 892, 754, 929], \"label\": \"bullet hole\"},\n {\"box_2d\": [817, 845, 848, 879], \"label\": \"bullet hole\"},\n {\"box_2d\": [831, 928, 863, 962], \"label\": \"bullet hole\"},\n {\"box_2d\": [919, 919, 949, 953], \"label\": \"bullet hole\"},\n {\"box_2d\": [901, 610, 931, 643], \"label\": \"bullet hole\"},\n {\"box_2d\": [877, 355, 906, 389], \"label\": \"bullet hole\"},\n {\"box_2d\": [982, 184, 1000, 217], \"label\": \"bullet hole\"},\n {\"box_2d\": [0, 607, 27, 643], \"label\": \"bullet hole\"}\n]\n```", "correct": false, "input_tokens": 1226, "output_tokens": 1084, "elapsed_seconds": 10.810372999985702, "metadata": {"match_method": "map", "num_predictions": 31, "num_ground_truth": 30, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.607074499130249, "attempts": 1, "retries": 0, "total_seconds": 10.8262}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 80, "image": "AF6880-9_2025_NCPT-128_JPG_jpg.rf.58feab8edece278692e9ee124939da54.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [219, 197, 297, 224], \"label\": \"potato\"},\n {\"box_2d\": [32, 249, 84, 267], \"label\": \"potato\"},\n {\"box_2d\": [7, 322, 92, 359], \"label\": \"potato\"},\n {\"box_2d\": [92, 325, 169, 355], \"label\": \"potato\"},\n {\"box_2d\": [169, 326, 241, 355], \"label\": \"potato\"},\n {\"box_2d\": [151, 285, 239, 316], \"label\": \"potato\"},\n {\"box_2d\": [266, 241, 351, 265], \"label\": \"potato\"},\n {\"box_2d\": [304, 279, 381, 308], \"label\": \"potato\"},\n {\"box_2d\": [438, 194, 503, 222], \"label\": \"potato\"},\n {\"box_2d\": [507, 196, 574, 224], \"label\": \"potato\"},\n {\"box_2d\": [572, 189, 640, 222], \"label\": \"potato\"},\n {\"box_2d\": [644, 184, 731, 223], \"label\": \"potato\"},\n {\"box_2d\": [731, 189, 843, 232], \"label\": \"potato\"},\n {\"box_2d\": [416, 232, 517, 270], \"label\": \"potato\"},\n {\"box_2d\": [381, 275, 466, 314], \"label\": \"potato\"},\n {\"box_2d\": [336, 310, 456, 357], \"label\": \"potato\"},\n {\"box_2d\": [241, 328, 336, 360], \"label\": \"potato\"},\n {\"box_2d\": [169, 356, 292, 405], \"label\": \"potato\"},\n {\"box_2d\": [82, 368, 171, 405], \"label\": \"potato\"},\n {\"box_2d\": [30, 377, 82, 399], \"label\": \"potato\"},\n {\"box_2d\": [10, 409, 151, 455], \"label\": \"potato\"},\n {\"box_2d\": [72, 466, 114, 486], \"label\": \"potato\"},\n {\"box_2d\": [110, 456, 199, 490], \"label\": \"potato\"},\n {\"box_2d\": [154, 408, 261, 446], \"label\": \"potato\"},\n {\"box_2d\": [38, 504, 124, 537], \"label\": \"potato\"},\n {\"box_2d\": [124, 500, 216, 540], \"label\": \"potato\"},\n {\"box_2d\": [0, 540, 112, 589], \"label\": \"potato\"},\n {\"box_2d\": [112, 543, 217, 589], \"label\": \"potato\"},\n {\"box_2d\": [3, 590, 110, 633], \"label\": \"potato\"},\n {\"box_2d\": [40, 631, 139, 668], \"label\": \"potato\"},\n {\"box_2d\": [124, 589, 221, 630], \"label\": \"potato\"},\n {\"box_2d\": [214, 549, 289, 577], \"label\": \"potato\"},\n {\"box_2d\": [259, 503, 344, 538], \"label\": \"potato\"},\n {\"box_2d\": [289, 547, 373, 576], \"label\": \"potato\"},\n {\"box_2d\": [266, 451, 363, 491], \"label\": \"potato\"},\n {\"box_2d\": [281, 421, 316, 438], \"label\": \"potato\"},\n {\"box_2d\": [316, 409, 405, 444], \"label\": \"potato\"},\n {\"box_2d\": [319, 359, 421, 405], \"label\": \"potato\"},\n {\"box_2d\": [421, 352, 527, 401], \"label\": \"potato\"},\n {\"box_2d\": [495, 273, 585, 310], \"label\": \"potato\"},\n {\"box_2d\": [572, 229, 651, 266], \"label\": \"potato\"},\n {\"box_2d\": [585, 281, 639, 307], \"label\": \"potato\"},\n {\"box_2d\": [639, 273, 722, 310], \"label\": \"potato\"},\n {\"box_2d\": [505, 316, 595, 359], \"label\": \"potato\"},\n {\"box_2d\": [528, 367, 610, 402], \"label\": \"potato\"},\n {\"box_2d\": [443, 408, 550, 451], \"label\": \"potato\"},\n {\"box_2d\": [408, 447, 508, 489], \"label\": \"potato\"},\n {\"box_2d\": [365, 496, 467, 534], \"label\": \"potato\"},\n {\"box_2d\": [393, 541, 493, 577], \"label\": \"potato\"},\n {\"box_2d\": [401, 589, 503, 623], \"label\": \"potato\"},\n {\"box_2d\": [493, 626, 599, 659], \"label\": \"potato\"},\n {\"box_2d\": [609, 631, 714, 664], \"label\": \"potato\"},\n {\"box_2d\": [512, 680, 570, 701], \"label\": \"potato\"},\n {\"box_2d\": [480, 708, 580, 746], \"label\": \"potato\"},\n {\"box_2d\": [217, 672, 333, 715], \"label\": \"potato\"},\n {\"box_2d\": [211, 720, 303, 755], \"label\": \"potato\"},\n {\"box_2d\": [95, 722, 157, 749], \"label\": \"potato\"},\n {\"box_2d\": [117, 761, 236, 811], \"label\": \"potato\"},\n {\"box_2d\": [498, 533, 614, 575], \"label\": \"potato\"},\n {\"box_2d\": [468, 500, 554, 533], \"label\": \"potato\"},\n {\"box_2d\": [559, 497, 640, 526], \"label\": \"potato\"},\n {\"box_2d\": [508, 452, 580, 486], \"label\": \"potato\"},\n {\"box_2d\": [580, 451, 687, 494], \"label\": \"potato\"},\n {\"box_2d\": [605, 317, 721, 363], \"label\": \"potato\"},\n {\"box_2d\": [716, 316, 794, 350], \"label\": \"potato\"},\n {\"box_2d\": [794, 321, 903, 362], \"label\": \"potato\"},\n {\"box_2d\": [855, 271, 970, 316], \"label\": \"potato\"},\n {\"box_2d\": [906, 224, 998, 265], \"label\": \"potato\"},\n {\"box_2d\": [911, 322, 985, 350], \"label\": \"potato\"},\n {\"box_2d\": [729, 365, 841, 399], \"label\": \"potato\"},\n {\"box_2d\": [838, 369, 898, 389], \"label\": \"potato\"},\n {\"box_2d\": [666, 405, 783, 447], \"label\": \"potato\"},\n {\"box_2d\": [781, 411, 843, 436], \"label\": \"potato\"},\n {\"box_2d\": [841, 410, 926, 439], \"label\": \"potato\"},\n {\"box_2d\": [687, 448, 789, 488], \"label\": \"potato\"},\n {\"box_2d\": [826, 446, 923, 484], \"label\": \"potato\"},\n {\"box_2d\": [933, 452, 998, 483], \"label\": \"potato\"},\n {\"box_2d\": [844, 485, 950, 531], \"label\": \"potato\"},\n {\"box_2d\": [689, 540, 796, 582], \"label\": \"potato\"},\n {\"box_2d\": [886, 585, 968, 611], \"label\": \"potato\"},\n {\"box_2d\": [774, 675, 836, 697], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 2748, "elapsed_seconds": 170.18294608406723, "metadata": {"match_method": "map", "num_predictions": 81, "num_ground_truth": 82, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9801980257034302, "attempts": 1, "retries": 0, "total_seconds": 170.8916}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 81, "image": "GP010253_JPG_jpg.rf.617173565602dbb2684e6af5ddab9032.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [727, 697, 888, 864], \"label\": \"carrot\"},\n {\"box_2d\": [545, 686, 814, 756], \"label\": \"carrot\"},\n {\"box_2d\": [636, 628, 841, 717], \"label\": \"carrot\"},\n {\"box_2d\": [559, 614, 812, 653], \"label\": \"carrot\"},\n {\"box_2d\": [455, 542, 738, 628], \"label\": \"carrot\"},\n {\"box_2d\": [566, 522, 789, 573], \"label\": \"carrot\"},\n {\"box_2d\": [489, 434, 767, 494], \"label\": \"carrot\"},\n {\"box_2d\": [484, 428, 667, 525], \"label\": \"carrot\"},\n {\"box_2d\": [484, 348, 558, 561], \"label\": \"carrot\"},\n {\"box_2d\": [447, 305, 639, 370], \"label\": \"carrot\"},\n {\"box_2d\": [412, 725, 645, 798], \"label\": \"carrot\"},\n {\"box_2d\": [311, 608, 438, 800], \"label\": \"carrot\"},\n {\"box_2d\": [306, 481, 464, 784], \"label\": \"carrot\"},\n {\"box_2d\": [288, 509, 405, 773], \"label\": \"carrot\"},\n {\"box_2d\": [278, 383, 469, 572], \"label\": \"carrot\"},\n {\"box_2d\": [180, 355, 358, 495], \"label\": \"carrot\"},\n {\"box_2d\": [189, 394, 330, 514], \"label\": \"carrot\"},\n {\"box_2d\": [194, 650, 312, 861], \"label\": \"carrot\"},\n {\"box_2d\": [186, 412, 306, 709], \"label\": \"carrot\"},\n {\"box_2d\": [158, 400, 269, 695], \"label\": \"carrot\"},\n {\"box_2d\": [138, 561, 205, 858], \"label\": \"carrot\"},\n {\"box_2d\": [50, 541, 180, 872], \"label\": \"carrot\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 759, "elapsed_seconds": 10.661439749994315, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 10.6879}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 82, "image": "1704195139272_jpg.rf.6a6621507dbbf3a3fbb417d17569c709.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [744, 728, 786, 780], \"label\": \"lentil grain\"},\n {\"box_2d\": [672, 611, 712, 656], \"label\": \"lentil grain\"},\n {\"box_2d\": [739, 389, 775, 430], \"label\": \"lentil grain\"},\n {\"box_2d\": [900, 403, 942, 447], \"label\": \"lentil grain\"},\n {\"box_2d\": [544, 422, 580, 462], \"label\": \"lentil grain\"},\n {\"box_2d\": [392, 380, 433, 420], \"label\": \"lentil grain\"},\n {\"box_2d\": [411, 562, 450, 608], \"label\": \"lentil grain\"},\n {\"box_2d\": [409, 619, 445, 662], \"label\": \"lentil grain\"},\n {\"box_2d\": [219, 570, 262, 617], \"label\": \"lentil grain\"},\n {\"box_2d\": [216, 344, 256, 386], \"label\": \"lentil grain\"},\n {\"box_2d\": [84, 662, 125, 709], \"label\": \"lentil grain\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 407, "elapsed_seconds": 19.09492591698654, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 19.1106}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 83, "image": "preannot1_326_png.rf.9e036dcc9355b37dec6ff1b3aff71d0b.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [59, 608, 76, 639], \"label\": \"tire spike normal\"},\n {\"box_2d\": [103, 353, 121, 381], \"label\": \"tire spike normal\"},\n {\"box_2d\": [138, 323, 155, 352], \"label\": \"tire spike normal\"},\n {\"box_2d\": [162, 535, 183, 567], \"label\": \"tire spike normal\"},\n {\"box_2d\": [181, 614, 199, 646], \"label\": \"tire spike normal\"},\n {\"box_2d\": [209, 434, 229, 466], \"label\": \"tire spike normal\"},\n {\"box_2d\": [227, 356, 246, 391], \"label\": \"tire spike normal\"},\n {\"box_2d\": [221, 661, 241, 694], \"label\": \"tire spike normal\"},\n {\"box_2d\": [268, 310, 290, 344], \"label\": \"tire spike normal\"},\n {\"box_2d\": [275, 614, 297, 649], \"label\": \"tire spike normal\"},\n {\"box_2d\": [329, 352, 349, 386], \"label\": \"tire spike normal\"},\n {\"box_2d\": [319, 650, 344, 686], \"label\": \"tire spike normal\"},\n {\"box_2d\": [382, 623, 405, 661], \"label\": \"tire spike normal\"},\n {\"box_2d\": [422, 429, 446, 464], \"label\": \"tire spike normal\"},\n {\"box_2d\": [434, 322, 456, 359], \"label\": \"tire spike normal\"},\n {\"box_2d\": [490, 320, 509, 353], \"label\": \"tire spike normal\"},\n {\"box_2d\": [553, 359, 576, 396], \"label\": \"tire spike normal\"},\n {\"box_2d\": [606, 324, 628, 359], \"label\": \"tire spike normal\"},\n {\"box_2d\": [595, 545, 617, 579], \"label\": \"tire spike normal\"},\n {\"box_2d\": [607, 636, 629, 673], \"label\": \"tire spike normal\"},\n {\"box_2d\": [658, 669, 680, 703], \"label\": \"tire spike normal\"},\n {\"box_2d\": [723, 643, 745, 675], \"label\": \"tire spike normal\"},\n {\"box_2d\": [708, 424, 728, 453], \"label\": \"tire spike normal\"},\n {\"box_2d\": [734, 366, 755, 396], \"label\": \"tire spike normal\"},\n {\"box_2d\": [773, 314, 791, 343], \"label\": \"tire spike normal\"},\n {\"box_2d\": [774, 670, 792, 699], \"label\": \"tire spike normal\"},\n {\"box_2d\": [830, 623, 847, 653], \"label\": \"tire spike normal\"},\n {\"box_2d\": [858, 444, 876, 474], \"label\": \"tire spike normal\"},\n {\"box_2d\": [871, 378, 888, 404], \"label\": \"tire spike normal\"},\n {\"box_2d\": [895, 344, 909, 369], \"label\": \"tire spike normal\"},\n {\"box_2d\": [892, 668, 909, 696], \"label\": \"tire spike normal\"},\n {\"box_2d\": [502, 617, 523, 650], \"label\": \"tire spike normal\"}\n]\n```", "correct": false, "input_tokens": 1202, "output_tokens": 1162, "elapsed_seconds": 30.55649945908226, "metadata": {"match_method": "map", "num_predictions": 32, "num_ground_truth": 42, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.2144414484500885, "attempts": 1, "retries": 0, "total_seconds": 30.6813}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 84, "image": "fall-detection_cameraOne-blue-before_mp4-10_jpg.rf.e26a811f1502cc342db7badfe48642d4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [581, 535, 725, 730], \"label\": \"fallen person\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 47, "elapsed_seconds": 9.620612291968428, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 9.6385}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 85, "image": "IMG_3898_JPG.rf.7efec82c7f803d0db60f9543524df2d2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [751, 446, 902, 632], \"label\": \"5 poker chip\"},\n {\"box_2d\": [380, 455, 478, 600], \"label\": \"5 poker chip\"},\n {\"box_2d\": [363, 315, 459, 458], \"label\": \"10 poker chip\"},\n {\"box_2d\": [639, 360, 773, 533], \"label\": \"10 poker chip\"},\n {\"box_2d\": [680, 597, 820, 778], \"label\": \"10 poker chip\"},\n {\"box_2d\": [486, 237, 595, 394], \"label\": \"20 poker chip\"},\n {\"box_2d\": [414, 145, 515, 294], \"label\": \"50 poker chip\"},\n {\"box_2d\": [465, 392, 573, 545], \"label\": \"50 poker chip\"},\n {\"box_2d\": [551, 474, 671, 637], \"label\": \"50 poker chip\"},\n {\"box_2d\": [302, 610, 393, 753], \"label\": \"100 poker chip\"},\n {\"box_2d\": [355, 734, 451, 882], \"label\": \"100 poker chip\"},\n {\"box_2d\": [330, 81, 422, 222], \"label\": \"100 poker chip\"},\n {\"box_2d\": [307, 221, 397, 360], \"label\": \"500 poker chip\"},\n {\"box_2d\": [396, 604, 495, 754], \"label\": \"500 poker chip\"},\n {\"box_2d\": [595, 211, 720, 379], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [493, 605, 605, 767], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [588, 703, 713, 875], \"label\": \"10000 poker chip\"}\n]\n```", "correct": true, "input_tokens": 1252, "output_tokens": 650, "elapsed_seconds": 228.31256966595538, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 18, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9579207897186279, "attempts": 1, "retries": 0, "total_seconds": 229.1805}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 86, "image": "2024-12-05T02-00-59-875Z-1008_jpg.rf.e6de2a9a15084a14389fc0bcc250e3a1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [291, 459, 378, 520], \"label\": \"screw\"},\n {\"box_2d\": [742, 792, 807, 836], \"label\": \"screw\"},\n {\"box_2d\": [637, 932, 699, 976], \"label\": \"screw\"},\n {\"box_2d\": [641, 827, 797, 939], \"label\": \"wire hole\"}\n]\n```", "correct": true, "input_tokens": 1203, "output_tokens": 149, "elapsed_seconds": 39.80349724995904, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 6, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8019801378250122, "attempts": 1, "retries": 0, "total_seconds": 40.027}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 87, "image": "IMG_20220316_165535_jpg.rf.b4968ac9965090df369ee94c30225977.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [39, 540, 381, 796], \"label\": \"jack of diamonds\"},\n {\"box_2d\": [108, 309, 476, 591], \"label\": \"nine of diamonds\"},\n {\"box_2d\": [378, 176, 709, 478], \"label\": \"king of diamonds\"},\n {\"box_2d\": [630, 108, 974, 427], \"label\": \"ten of diamonds\"},\n {\"box_2d\": [418, 471, 822, 728], \"label\": \"queen of diamonds\"}\n]\n```", "correct": true, "input_tokens": 1218, "output_tokens": 191, "elapsed_seconds": 7.11679624998942, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 7.1539}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 88, "image": "F64FE944-4E23-4E33-ABE4-44B45EEE879E_jpg.rf.4a9fc6077618a5882fd446c7da6c295e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [736, 94, 797, 198], \"label\": \"pill\"},\n {\"box_2d\": [682, 162, 779, 245], \"label\": \"pill\"},\n {\"box_2d\": [679, 217, 745, 321], \"label\": \"pill\"},\n {\"box_2d\": [725, 298, 788, 404], \"label\": \"pill\"},\n {\"box_2d\": [664, 358, 749, 453], \"label\": \"pill\"},\n {\"box_2d\": [638, 270, 675, 378], \"label\": \"pill\"},\n {\"box_2d\": [592, 290, 643, 396], \"label\": \"pill\"},\n {\"box_2d\": [589, 179, 672, 276], \"label\": \"pill\"},\n {\"box_2d\": [513, 127, 590, 228], \"label\": \"pill\"},\n {\"box_2d\": [433, 129, 521, 222], \"label\": \"pill\"},\n {\"box_2d\": [380, 187, 484, 251], \"label\": \"pill\"},\n {\"box_2d\": [287, 154, 393, 209], \"label\": \"pill\"},\n {\"box_2d\": [276, 208, 383, 270], \"label\": \"pill\"},\n {\"box_2d\": [176, 163, 281, 238], \"label\": \"pill\"},\n {\"box_2d\": [186, 237, 290, 315], \"label\": \"pill\"},\n {\"box_2d\": [137, 297, 248, 351], \"label\": \"pill\"},\n {\"box_2d\": [243, 326, 323, 429], \"label\": \"pill\"},\n {\"box_2d\": [184, 390, 285, 474], \"label\": \"pill\"},\n {\"box_2d\": [168, 524, 276, 597], \"label\": \"pill\"},\n {\"box_2d\": [259, 487, 369, 547], \"label\": \"pill\"},\n {\"box_2d\": [285, 417, 389, 490], \"label\": \"pill\"},\n {\"box_2d\": [289, 289, 379, 384], \"label\": \"pill\"},\n {\"box_2d\": [349, 240, 446, 323], \"label\": \"pill\"},\n {\"box_2d\": [386, 275, 480, 363], \"label\": \"pill\"},\n {\"box_2d\": [359, 370, 458, 450], \"label\": \"pill\"},\n {\"box_2d\": [477, 256, 583, 315], \"label\": \"pill\"},\n {\"box_2d\": [476, 311, 582, 370], \"label\": \"pill\"},\n {\"box_2d\": [456, 375, 550, 460], \"label\": \"pill\"},\n {\"box_2d\": [549, 391, 612, 495], \"label\": \"pill\"},\n {\"box_2d\": [488, 467, 555, 570], \"label\": \"pill\"},\n {\"box_2d\": [445, 504, 515, 606], \"label\": \"pill\"},\n {\"box_2d\": [356, 559, 463, 620], \"label\": \"pill\"},\n {\"box_2d\": [363, 620, 471, 680], \"label\": \"pill\"},\n {\"box_2d\": [300, 691, 386, 794], \"label\": \"pill\"},\n {\"box_2d\": [369, 841, 479, 900], \"label\": \"pill\"},\n {\"box_2d\": [431, 667, 517, 766], \"label\": \"pill\"},\n {\"box_2d\": [507, 634, 613, 697], \"label\": \"pill\"},\n {\"box_2d\": [555, 695, 612, 806], \"label\": \"pill\"},\n {\"box_2d\": [532, 522, 616, 618], \"label\": \"pill\"},\n {\"box_2d\": [597, 458, 675, 558], \"label\": \"pill\"},\n {\"box_2d\": [630, 424, 718, 518], \"label\": \"pill\"},\n {\"box_2d\": [723, 467, 808, 563], \"label\": \"pill\"},\n {\"box_2d\": [782, 412, 837, 518], \"label\": \"pill\"},\n {\"box_2d\": [718, 543, 809, 634], \"label\": \"pill\"},\n {\"box_2d\": [624, 535, 720, 620], \"label\": \"pill\"},\n {\"box_2d\": [575, 591, 668, 681], \"label\": \"pill\"},\n {\"box_2d\": [696, 631, 792, 721], \"label\": \"pill\"},\n {\"box_2d\": [691, 693, 783, 789], \"label\": \"pill\"},\n {\"box_2d\": [679, 755, 734, 866], \"label\": \"pill\"},\n {\"box_2d\": [797, 738, 892, 830], \"label\": \"pill\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 1711, "elapsed_seconds": 74.80057733296417, "metadata": {"match_method": "map", "num_predictions": 50, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 75.4082}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 89, "image": "20210326_152417_jpg.rf.49d888684dcb029777f91a35c5731fda.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [514, 678, 675, 839], \"label\": \"1 euro cent coin\"},\n {\"box_2d\": [723, 577, 906, 759], \"label\": \"2 euro cent coin\"},\n {\"box_2d\": [420, 80, 628, 294], \"label\": \"5 euro cent coin\"},\n {\"box_2d\": [200, 127, 398, 323], \"label\": \"10 euro cent coin\"},\n {\"box_2d\": [103, 369, 327, 591], \"label\": \"20 euro cent coin\"},\n {\"box_2d\": [203, 645, 447, 889], \"label\": \"50 euro cent coin\"},\n {\"box_2d\": [378, 395, 611, 628], \"label\": \"1 euro coin\"},\n {\"box_2d\": [653, 238, 903, 491], \"label\": \"2 euro coin\"}\n]\n```", "correct": true, "input_tokens": 1272, "output_tokens": 308, "elapsed_seconds": 8.022644000011496, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 8.0496}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 90, "image": "egg-detection_image33_jpg.rf.842de73d6f921d804acd1ea8a1f28413.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [746, 694, 822, 753], \"label\": \"egg\"},\n {\"box_2d\": [468, 428, 553, 491], \"label\": \"egg\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 80, "elapsed_seconds": 13.036149207968265, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 13.1736}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 91, "image": "uav20221018_ixfZ_3857_215_png.rf.8020e1329eefd7e68bf3f7c0394e8bdf.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [773, 782, 795, 811], \"label\": \"banana tree\"},\n {\"box_2d\": [704, 780, 736, 815], \"label\": \"banana tree\"},\n {\"box_2d\": [805, 720, 845, 767], \"label\": \"banana tree\"},\n {\"box_2d\": [737, 725, 764, 756], \"label\": \"banana tree\"},\n {\"box_2d\": [808, 978, 839, 998], \"label\": \"banana tree\"},\n {\"box_2d\": [742, 971, 774, 998], \"label\": \"banana tree\"},\n {\"box_2d\": [666, 971, 703, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [595, 960, 650, 999], \"label\": \"banana tree\"},\n {\"box_2d\": [619, 770, 661, 807], \"label\": \"banana tree\"},\n {\"box_2d\": [665, 722, 695, 752], \"label\": \"banana tree\"},\n {\"box_2d\": [556, 773, 591, 809], \"label\": \"banana tree\"},\n {\"box_2d\": [525, 723, 559, 750], \"label\": \"banana tree\"},\n {\"box_2d\": [489, 772, 520, 804], \"label\": \"banana tree\"},\n {\"box_2d\": [453, 956, 502, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [407, 757, 451, 804], \"label\": \"banana tree\"},\n {\"box_2d\": [373, 705, 412, 739], \"label\": \"banana tree\"},\n {\"box_2d\": [324, 950, 369, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [306, 697, 349, 750], \"label\": \"banana tree\"},\n {\"box_2d\": [266, 756, 306, 789], \"label\": \"banana tree\"},\n {\"box_2d\": [254, 949, 294, 998], \"label\": \"banana tree\"},\n {\"box_2d\": [232, 687, 279, 736], \"label\": \"banana tree\"},\n {\"box_2d\": [191, 951, 229, 995], \"label\": \"banana tree\"},\n {\"box_2d\": [191, 746, 236, 795], \"label\": \"banana tree\"},\n {\"box_2d\": [163, 693, 212, 745], \"label\": \"banana tree\"},\n {\"box_2d\": [117, 951, 168, 997], \"label\": \"banana tree\"},\n {\"box_2d\": [120, 746, 174, 787], \"label\": \"banana tree\"},\n {\"box_2d\": [86, 686, 134, 731], \"label\": \"banana tree\"},\n {\"box_2d\": [50, 943, 98, 998], \"label\": \"banana tree\"},\n {\"box_2d\": [52, 744, 93, 788], \"label\": \"banana tree\"},\n {\"box_2d\": [13, 686, 72, 730], \"label\": \"banana tree\"},\n {\"box_2d\": [341, 761, 381, 794], \"label\": \"banana tree\"},\n {\"box_2d\": [879, 976, 916, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [841, 777, 864, 807], \"label\": \"banana tree\"},\n {\"box_2d\": [878, 722, 922, 769], \"label\": \"banana tree\"},\n {\"box_2d\": [914, 787, 937, 822], \"label\": \"banana tree\"},\n {\"box_2d\": [937, 734, 976, 768], \"label\": \"banana tree\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 1269, "elapsed_seconds": 116.2176916670287, "metadata": {"match_method": "map", "num_predictions": 36, "num_ground_truth": 41, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8712871074676514, "attempts": 1, "retries": 0, "total_seconds": 116.322}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 92, "image": "DJI_0151_JPG_jpg.rf.3936c799be65e9829061aeb413261c06.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [482, 342, 681, 408], \"label\": \"excavator\"},\n {\"box_2d\": [161, 338, 211, 391], \"label\": \"dump truck\"},\n {\"box_2d\": [158, 434, 212, 487], \"label\": \"concrete mixer\"},\n {\"box_2d\": [126, 61, 173, 108], \"label\": \"concrete mixer\"},\n {\"box_2d\": [0, 628, 496, 709], \"label\": \"tower crane\"}\n]\n```", "correct": true, "input_tokens": 1245, "output_tokens": 185, "elapsed_seconds": 69.21287283301353, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 69.748}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 93, "image": "55_jpeg_jpg.rf.004155dfb8cf69dfe8eec1fad7b643e0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [715, 0, 796, 98], \"label\": \"potato\"},\n {\"box_2d\": [66, 322, 181, 434], \"label\": \"potato\"},\n {\"box_2d\": [695, 352, 850, 432], \"label\": \"potato\"},\n {\"box_2d\": [902, 369, 988, 456], \"label\": \"potato\"},\n {\"box_2d\": [885, 617, 980, 718], \"label\": \"potato\"},\n {\"box_2d\": [709, 586, 801, 680], \"label\": \"potato\"},\n {\"box_2d\": [678, 842, 779, 919], \"label\": \"potato\"},\n {\"box_2d\": [480, 811, 574, 909], \"label\": \"potato\"},\n {\"box_2d\": [480, 648, 578, 747], \"label\": \"potato\"},\n {\"box_2d\": [480, 521, 619, 634], \"label\": \"potato\"},\n {\"box_2d\": [248, 805, 385, 909], \"label\": \"potato\"},\n {\"box_2d\": [62, 914, 174, 1000], \"label\": \"potato\"}\n]\n```", "correct": false, "input_tokens": 1240, "output_tokens": 416, "elapsed_seconds": 35.36290145898238, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7524752616882324, "attempts": 1, "retries": 0, "total_seconds": 35.4042}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 94, "image": "2024-12-05T02-01-39-892Z-3009_jpg.rf.22fd37099b783ab1f80e4172f8bb073a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [553, 309, 675, 412], \"label\": \"retaining clip\"},\n {\"box_2d\": [461, 493, 594, 594], \"label\": \"retaining clip\"},\n {\"box_2d\": [366, 667, 485, 767], \"label\": \"retaining clip\"},\n {\"box_2d\": [647, 634, 779, 738], \"label\": \"retaining clip\"}\n]\n```", "correct": true, "input_tokens": 1201, "output_tokens": 156, "elapsed_seconds": 114.07691495888866, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 114.3605}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 95, "image": "IMG_20251126_160341_jpg.rf.90a2111f9611ba9b2da6fb1312d0ef72.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 336, 200, 426], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [654, 922, 750, 995], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [653, 830, 751, 905], \"label\": \"white standard price tag\"},\n {\"box_2d\": [663, 699, 758, 771], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [661, 588, 761, 661], \"label\": \"white standard price tag\"},\n {\"box_2d\": [651, 489, 938, 563], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [678, 386, 774, 456], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [683, 297, 780, 368], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [691, 206, 789, 276], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [690, 108, 795, 179], \"label\": \"yellow standard price tag\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 380, "elapsed_seconds": 49.44336704094894, "metadata": {"match_method": "map", "num_predictions": 10, "num_ground_truth": 10, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 49.8037}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 96, "image": "tile_267_jpg.rf.d3e282883cf21b5fa393f473090fd4b9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [296, 519, 540, 704], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [41, 315, 281, 499], \"label\": \"ship in SAR satellite image\"}\n]\n```", "correct": false, "input_tokens": 1229, "output_tokens": 87, "elapsed_seconds": 6.598685083095916, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5049505233764648, "attempts": 1, "retries": 0, "total_seconds": 6.6321}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 97, "image": "IMG_20250815_165441_jpg.rf.4c737e973da64b017b0e386f2b455f62.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [771, 706, 851, 745], \"label\": \"barcode\"},\n {\"box_2d\": [828, 256, 865, 304], \"label\": \"barcode\"},\n {\"box_2d\": [741, 551, 825, 594], \"label\": \"barcode\"},\n {\"box_2d\": [681, 66, 720, 117], \"label\": \"barcode\"},\n {\"box_2d\": [213, 180, 310, 232], \"label\": \"barcode\"},\n {\"box_2d\": [219, 444, 312, 491], \"label\": \"barcode\"},\n {\"box_2d\": [194, 629, 234, 671], \"label\": \"barcode\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 249, "elapsed_seconds": 27.42727629095316, "metadata": {"match_method": "map", "num_predictions": 7, "num_ground_truth": 7, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 27.834}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 98, "image": "Lego_63_low_jpeg.rf.6dd24c9abacc96bac5fb5a7d9ce3f907.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [58, 671, 149, 777], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [27, 753, 130, 822], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [99, 428, 206, 530], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [46, 198, 135, 294], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [182, 104, 269, 190], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [202, 12, 308, 105], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [215, 353, 282, 454], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [280, 316, 339, 405], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [396, 318, 465, 429], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [498, 372, 594, 431], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [582, 323, 669, 412], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [580, 253, 664, 332], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [674, 414, 767, 513], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [776, 422, 860, 532], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [827, 266, 906, 365], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [765, 86, 854, 180], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [623, 44, 726, 144], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [471, 538, 571, 610], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [294, 581, 396, 651], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [168, 672, 263, 713], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [173, 710, 250, 762], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [222, 795, 310, 875], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [202, 864, 300, 938], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [413, 789, 492, 854], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [447, 725, 519, 777], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [459, 835, 533, 916], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [607, 579, 709, 662], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [712, 588, 749, 682], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [671, 673, 750, 735], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [711, 731, 796, 808], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [680, 778, 728, 873], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [745, 789, 845, 886], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [606, 907, 696, 1000], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [670, 963, 748, 1000], \"label\": \"lego 4x1 brick\"}\n]\n```", "correct": true, "input_tokens": 1244, "output_tokens": 1333, "elapsed_seconds": 18.848369290935807, "metadata": {"match_method": "map", "num_predictions": 34, "num_ground_truth": 34, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9069907069206238, "attempts": 1, "retries": 0, "total_seconds": 18.9381}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 99, "image": "frame_0085_jpg.rf.df2f77641da4fa475877d40e14103949.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [132, 229, 198, 268], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [24, 246, 75, 290], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [41, 138, 107, 181], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [139, 111, 206, 152], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [261, 128, 326, 174], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [271, 229, 340, 270], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [160, 344, 219, 381], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [49, 339, 118, 384], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [228, 427, 307, 469], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [315, 353, 377, 392], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [437, 356, 499, 394], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [418, 232, 487, 281], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [377, 106, 451, 160], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [463, 106, 535, 156], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [591, 84, 672, 135], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [676, 228, 780, 272], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [703, 346, 796, 389], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [528, 338, 597, 385], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [423, 467, 485, 505], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [341, 551, 404, 586], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [182, 610, 235, 642], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [368, 675, 434, 710], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [637, 471, 745, 521], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [779, 576, 850, 618], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [864, 471, 919, 515], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [847, 339, 932, 388], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [886, 211, 962, 258], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [791, 77, 886, 142], \"label\": \"garlic on conveyor\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 1014, "elapsed_seconds": 23.48285291600041, "metadata": {"match_method": "map", "num_predictions": 28, "num_ground_truth": 28, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 23.6158}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 100, "image": "basketball-player-detection_boston-celtics-new-york-knicks-game-4-q1-00-05-00-01-0115_png.rf.268163bdbdd382dbeaa9df9d19cf50ae.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [771, 180, 800, 195], \"label\": \"jersey number\"},\n {\"box_2d\": [704, 167, 956, 236], \"label\": \"player\"},\n {\"box_2d\": [721, 297, 881, 326], \"label\": \"referee\"},\n {\"box_2d\": [540, 360, 761, 404], \"label\": \"player\"},\n {\"box_2d\": [323, 108, 456, 159], \"label\": \"player\"},\n {\"box_2d\": [357, 165, 372, 178], \"label\": \"jersey number\"},\n {\"box_2d\": [308, 152, 517, 195], \"label\": \"player\"},\n {\"box_2d\": [283, 339, 456, 379], \"label\": \"referee\"},\n {\"box_2d\": [368, 536, 386, 543], \"label\": \"jersey number\"},\n {\"box_2d\": [319, 522, 490, 567], \"label\": \"player\"},\n {\"box_2d\": [384, 564, 405, 577], \"label\": \"jersey number\"},\n {\"box_2d\": [341, 545, 535, 611], \"label\": \"player\"},\n {\"box_2d\": [454, 710, 635, 756], \"label\": \"player\"},\n {\"box_2d\": [504, 745, 524, 759], \"label\": \"jersey number\"},\n {\"box_2d\": [451, 738, 678, 777], \"label\": \"player\"},\n {\"box_2d\": [562, 749, 789, 808], \"label\": \"player\"},\n {\"box_2d\": [669, 849, 695, 860], \"label\": \"jersey number\"},\n {\"box_2d\": [610, 811, 845, 872], \"label\": \"player\"},\n {\"box_2d\": [296, 711, 348, 750], \"label\": \"basket rim\"}\n]\n```", "correct": false, "input_tokens": 1250, "output_tokens": 667, "elapsed_seconds": 16.815997417084873, "metadata": {"match_method": "map", "num_predictions": 19, "num_ground_truth": 25, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3605610430240631, "attempts": 1, "retries": 0, "total_seconds": 16.9472}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 101, "image": "construction-safety_ppe_0720_jpg.rf.cfd070890ac09790250bebd1b430d69f.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [235, 0, 991, 86], \"label\": \"person\"},\n {\"box_2d\": [117, 738, 198, 804], \"label\": \"safety helmet\"},\n {\"box_2d\": [138, 868, 997, 1000], \"label\": \"person\"},\n {\"box_2d\": [324, 483, 576, 567], \"label\": \"safety vest\"},\n {\"box_2d\": [307, 885, 670, 1000], \"label\": \"safety vest\"},\n {\"box_2d\": [315, 825, 639, 902], \"label\": \"safety vest\"},\n {\"box_2d\": [244, 562, 989, 670], \"label\": \"person\"},\n {\"box_2d\": [206, 180, 272, 232], \"label\": \"safety helmet\"},\n {\"box_2d\": [355, 567, 599, 650], \"label\": \"safety vest\"},\n {\"box_2d\": [117, 738, 997, 845], \"label\": \"person\"},\n {\"box_2d\": [195, 655, 997, 756], \"label\": \"person\"},\n {\"box_2d\": [181, 838, 261, 901], \"label\": \"safety helmet\"},\n {\"box_2d\": [195, 676, 264, 729], \"label\": \"safety helmet\"},\n {\"box_2d\": [206, 491, 275, 540], \"label\": \"safety helmet\"},\n {\"box_2d\": [241, 575, 307, 626], \"label\": \"safety helmet\"},\n {\"box_2d\": [186, 325, 255, 377], \"label\": \"safety helmet\"},\n {\"box_2d\": [235, 11, 298, 60], \"label\": \"safety helmet\"},\n {\"box_2d\": [266, 258, 338, 305], \"label\": \"safety helmet\"},\n {\"box_2d\": [355, 0, 622, 79], \"label\": \"safety vest\"},\n {\"box_2d\": [321, 168, 596, 253], \"label\": \"safety vest\"},\n {\"box_2d\": [209, 395, 980, 495], \"label\": \"person\"},\n {\"box_2d\": [149, 807, 223, 854], \"label\": \"safety helmet\"},\n {\"box_2d\": [289, 75, 989, 179], \"label\": \"person\"},\n {\"box_2d\": [186, 293, 989, 405], \"label\": \"person\"},\n {\"box_2d\": [252, 744, 550, 835], \"label\": \"safety vest\"},\n {\"box_2d\": [206, 477, 974, 573], \"label\": \"person\"},\n {\"box_2d\": [183, 822, 997, 906], \"label\": \"person\"},\n {\"box_2d\": [327, 661, 602, 746], \"label\": \"safety vest\"},\n {\"box_2d\": [149, 807, 963, 860], \"label\": \"person\"},\n {\"box_2d\": [401, 79, 650, 165], \"label\": \"safety vest\"},\n {\"box_2d\": [289, 93, 355, 144], \"label\": \"safety helmet\"},\n {\"box_2d\": [321, 309, 579, 403], \"label\": \"safety vest\"},\n {\"box_2d\": [264, 240, 974, 323], \"label\": \"person\"},\n {\"box_2d\": [321, 402, 596, 487], \"label\": \"safety vest\"},\n {\"box_2d\": [206, 419, 275, 469], \"label\": \"safety helmet\"},\n {\"box_2d\": [140, 901, 229, 982], \"label\": \"safety helmet\"},\n {\"box_2d\": [381, 250, 616, 315], \"label\": \"safety vest\"},\n {\"box_2d\": [206, 159, 986, 273], \"label\": \"person\"}\n]\n```", "correct": true, "input_tokens": 1198, "output_tokens": 1320, "elapsed_seconds": 48.51144000003114, "metadata": {"match_method": "map", "num_predictions": 38, "num_ground_truth": 38, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9695354104042053, "attempts": 1, "retries": 0, "total_seconds": 48.5459}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 102, "image": "fabric-defect_1213_jpg.rf.f4cb351d5d6f226d23075b9a6a549416.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [468, 725, 588, 775], \"label\": \"fabric cut\"}\n]\n```", "correct": false, "input_tokens": 1226, "output_tokens": 47, "elapsed_seconds": 3.99298799992539, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5049504637718201, "attempts": 1, "retries": 0, "total_seconds": 4.0056}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 103, "image": "indir-2-_jpeg_jpg.rf.cabde9f9d89b7527f52820f6df64e1b7.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [17, 25, 48, 309], \"label\": \"technical drawing table\"},\n {\"box_2d\": [17, 905, 48, 976], \"label\": \"technical drawing table\"},\n {\"box_2d\": [915, 208, 984, 976], \"label\": \"technical drawing table\"},\n {\"box_2d\": [364, 249, 422, 581], \"label\": \"dimension annotation\"},\n {\"box_2d\": [417, 89, 517, 205], \"label\": \"dimension annotation\"},\n {\"box_2d\": [423, 583, 575, 681], \"label\": \"dimension annotation\"},\n {\"box_2d\": [433, 305, 514, 449], \"label\": \"dimension annotation\"},\n {\"box_2d\": [532, 70, 573, 134], \"label\": \"dimension annotation\"},\n {\"box_2d\": [575, 415, 634, 516], \"label\": \"dimension annotation\"},\n {\"box_2d\": [575, 515, 634, 582], \"label\": \"dimension annotation\"},\n {\"box_2d\": [546, 181, 634, 289], \"label\": \"dimension annotation\"},\n {\"box_2d\": [678, 57, 707, 114], \"label\": \"dimension annotation\"},\n {\"box_2d\": [707, 56, 844, 247], \"label\": \"dimension annotation\"},\n {\"box_2d\": [760, 249, 775, 344], \"label\": \"dimension annotation\"},\n {\"box_2d\": [815, 583, 844, 648], \"label\": \"dimension annotation\"},\n {\"box_2d\": [619, 754, 677, 888], \"label\": \"dimension annotation\"},\n {\"box_2d\": [754, 665, 801, 749], \"label\": \"dimension annotation\"}\n]\n```", "correct": false, "input_tokens": 1233, "output_tokens": 601, "elapsed_seconds": 7.225155540974811, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.16949552297592163, "attempts": 1, "retries": 0, "total_seconds": 7.2396}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 104, "image": "wood-log-detection_019_png_jpg.rf.0c10ed1caffd0ca9926a3f2f5de3a24a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [618, 326, 725, 452], \"label\": \"log cross-section\"},\n {\"box_2d\": [641, 200, 722, 320], \"label\": \"log cross-section\"},\n {\"box_2d\": [692, 300, 722, 338], \"label\": \"log cross-section\"},\n {\"box_2d\": [623, 66, 719, 194], \"label\": \"log cross-section\"},\n {\"box_2d\": [602, 169, 638, 223], \"label\": \"log cross-section\"},\n {\"box_2d\": [592, 225, 645, 289], \"label\": \"log cross-section\"},\n {\"box_2d\": [556, 80, 616, 152], \"label\": \"log cross-section\"},\n {\"box_2d\": [559, 167, 603, 223], \"label\": \"log cross-section\"},\n {\"box_2d\": [528, 162, 561, 202], \"label\": \"log cross-section\"},\n {\"box_2d\": [512, 211, 581, 305], \"label\": \"log cross-section\"},\n {\"box_2d\": [495, 72, 558, 153], \"label\": \"log cross-section\"},\n {\"box_2d\": [505, 306, 566, 384], \"label\": \"log cross-section\"},\n {\"box_2d\": [438, 152, 530, 272], \"label\": \"log cross-section\"},\n {\"box_2d\": [453, 88, 495, 145], \"label\": \"log cross-section\"},\n {\"box_2d\": [392, 92, 448, 166], \"label\": \"log cross-section\"},\n {\"box_2d\": [316, 69, 362, 134], \"label\": \"log cross-section\"},\n {\"box_2d\": [331, 133, 370, 178], \"label\": \"log cross-section\"},\n {\"box_2d\": [262, 53, 314, 120], \"label\": \"log cross-section\"},\n {\"box_2d\": [223, 102, 272, 164], \"label\": \"log cross-section\"},\n {\"box_2d\": [148, 48, 217, 145], \"label\": \"log cross-section\"},\n {\"box_2d\": [202, 164, 266, 255], \"label\": \"log cross-section\"},\n {\"box_2d\": [186, 238, 230, 277], \"label\": \"log cross-section\"},\n {\"box_2d\": [166, 286, 214, 348], \"label\": \"log cross-section\"},\n {\"box_2d\": [211, 284, 241, 323], \"label\": \"log cross-section\"},\n {\"box_2d\": [250, 281, 291, 328], \"label\": \"log cross-section\"},\n {\"box_2d\": [211, 328, 291, 420], \"label\": \"log cross-section\"},\n {\"box_2d\": [167, 405, 206, 456], \"label\": \"log cross-section\"},\n {\"box_2d\": [288, 198, 369, 306], \"label\": \"log cross-section\"},\n {\"box_2d\": [347, 241, 403, 317], \"label\": \"log cross-section\"},\n {\"box_2d\": [320, 320, 400, 431], \"label\": \"log cross-section\"},\n {\"box_2d\": [423, 273, 472, 336], \"label\": \"log cross-section\"},\n {\"box_2d\": [483, 269, 523, 319], \"label\": \"log cross-section\"},\n {\"box_2d\": [458, 355, 525, 444], \"label\": \"log cross-section\"},\n {\"box_2d\": [577, 391, 625, 477], \"label\": \"log cross-section\"},\n {\"box_2d\": [673, 469, 739, 553], \"label\": \"log cross-section\"},\n {\"box_2d\": [630, 467, 669, 512], \"label\": \"log cross-section\"},\n {\"box_2d\": [623, 514, 673, 583], \"label\": \"log cross-section\"},\n {\"box_2d\": [578, 491, 625, 572], \"label\": \"log cross-section\"},\n {\"box_2d\": [508, 488, 578, 578], \"label\": \"log cross-section\"},\n {\"box_2d\": [455, 452, 516, 538], \"label\": \"log cross-section\"},\n {\"box_2d\": [430, 412, 469, 467], \"label\": \"log cross-section\"},\n {\"box_2d\": [397, 427, 430, 480], \"label\": \"log cross-section\"},\n {\"box_2d\": [356, 422, 402, 492], \"label\": \"log cross-section\"},\n {\"box_2d\": [238, 420, 328, 553], \"label\": \"log cross-section\"},\n {\"box_2d\": [166, 497, 231, 580], \"label\": \"log cross-section\"},\n {\"box_2d\": [228, 542, 300, 636], \"label\": \"log cross-section\"},\n {\"box_2d\": [302, 536, 372, 622], \"label\": \"log cross-section\"},\n {\"box_2d\": [370, 500, 442, 586], \"label\": \"log cross-section\"},\n {\"box_2d\": [462, 548, 520, 622], \"label\": \"log cross-section\"},\n {\"box_2d\": [566, 570, 608, 616], \"label\": \"log cross-section\"},\n {\"box_2d\": [609, 575, 639, 622], \"label\": \"log cross-section\"},\n {\"box_2d\": [631, 583, 677, 642], \"label\": \"log cross-section\"},\n {\"box_2d\": [705, 591, 747, 639], \"label\": \"log cross-section\"},\n {\"box_2d\": [702, 639, 745, 688], \"label\": \"log cross-section\"},\n {\"box_2d\": [686, 719, 720, 759], \"label\": \"log cross-section\"},\n {\"box_2d\": [712, 791, 748, 833], \"label\": \"log cross-section\"},\n {\"box_2d\": [688, 833, 720, 881], \"label\": \"log cross-section\"},\n {\"box_2d\": [670, 842, 691, 877], \"label\": \"log cross-section\"},\n {\"box_2d\": [623, 828, 670, 888], \"label\": \"log cross-section\"},\n {\"box_2d\": [612, 731, 667, 797], \"label\": \"log cross-section\"},\n {\"box_2d\": [612, 670, 662, 731], \"label\": \"log cross-section\"},\n {\"box_2d\": [542, 608, 598, 677], \"label\": \"log cross-section\"},\n {\"box_2d\": [512, 638, 555, 686], \"label\": \"log cross-section\"},\n {\"box_2d\": [434, 622, 488, 692], \"label\": \"log cross-section\"},\n {\"box_2d\": [478, 675, 517, 723], \"label\": \"log cross-section\"},\n {\"box_2d\": [509, 716, 556, 775], \"label\": \"log cross-section\"},\n {\"box_2d\": [556, 691, 616, 772], \"label\": \"log cross-section\"},\n {\"box_2d\": [511, 772, 555, 820], \"label\": \"log cross-section\"},\n {\"box_2d\": [555, 783, 603, 844], \"label\": \"log cross-section\"},\n {\"box_2d\": [583, 842, 616, 883], \"label\": \"log cross-section\"},\n {\"box_2d\": [523, 827, 553, 862], \"label\": \"log cross-section\"},\n {\"box_2d\": [502, 855, 538, 895], \"label\": \"log cross-section\"},\n {\"box_2d\": [469, 834, 500, 875], \"label\": \"log cross-section\"},\n {\"box_2d\": [439, 789, 472, 833], \"label\": \"log cross-section\"},\n {\"box_2d\": [455, 720, 511, 792], \"label\": \"log cross-section\"},\n {\"box_2d\": [350, 603, 430, 703], \"label\": \"log cross-section\"},\n {\"box_2d\": [322, 702, 388, 788], \"label\": \"log cross-section\"},\n {\"box_2d\": [270, 656, 339, 739], \"label\": \"log cross-section\"},\n {\"box_2d\": [223, 670, 272, 733], \"label\": \"log cross-section\"},\n {\"box_2d\": [222, 733, 278, 803], \"label\": \"log cross-section\"},\n {\"box_2d\": [277, 748, 314, 797], \"label\": \"log cross-section\"},\n {\"box_2d\": [211, 805, 294, 895], \"label\": \"log cross-section\"},\n {\"box_2d\": [300, 775, 361, 848], \"label\": \"log cross-section\"},\n {\"box_2d\": [366, 802, 405, 855], \"label\": \"log cross-section\"},\n {\"box_2d\": [406, 898, 444, 947], \"label\": \"log cross-section\"}\n]\n```", "correct": true, "input_tokens": 1228, "output_tokens": 3149, "elapsed_seconds": 27.999658000073396, "metadata": {"match_method": "map", "num_predictions": 85, "num_ground_truth": 91, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9127548336982727, "attempts": 1, "retries": 0, "total_seconds": 28.0266}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 105, "image": "170571v_JPG_jpg.rf.044f16a58ffbf60b2d7a3d41cd3a4fdf.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [765, 487, 839, 684], \"label\": \"cracked insulator\"},\n {\"box_2d\": [712, 497, 780, 681], \"label\": \"cracked insulator\"},\n {\"box_2d\": [562, 463, 640, 676], \"label\": \"cracked insulator\"},\n {\"box_2d\": [498, 465, 571, 673], \"label\": \"cracked insulator\"},\n {\"box_2d\": [445, 462, 511, 672], \"label\": \"cracked insulator\"}\n]\n```", "correct": true, "input_tokens": 1244, "output_tokens": 192, "elapsed_seconds": 29.185878250049427, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 29.6924}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 106, "image": "IMG_20260128_081412_jpg.rf.4a044ae2d306c8ba7e741477be920225.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [32, 0, 118, 42], \"label\": \"white standard price tag\"},\n {\"box_2d\": [41, 75, 118, 128], \"label\": \"white standard price tag\"},\n {\"box_2d\": [47, 152, 118, 207], \"label\": \"white standard price tag\"},\n {\"box_2d\": [55, 245, 125, 297], \"label\": \"white standard price tag\"},\n {\"box_2d\": [60, 342, 125, 396], \"label\": \"white standard price tag\"},\n {\"box_2d\": [54, 423, 125, 476], \"label\": \"white standard price tag\"},\n {\"box_2d\": [72, 533, 140, 585], \"label\": \"white standard price tag\"},\n {\"box_2d\": [72, 673, 139, 725], \"label\": \"white standard price tag\"},\n {\"box_2d\": [85, 773, 150, 825], \"label\": \"white standard price tag\"},\n {\"box_2d\": [92, 853, 160, 904], \"label\": \"white standard price tag\"},\n {\"box_2d\": [80, 929, 147, 982], \"label\": \"white standard price tag\"},\n {\"box_2d\": [666, 51, 728, 102], \"label\": \"white standard price tag\"},\n {\"box_2d\": [686, 224, 753, 272], \"label\": \"white standard price tag\"},\n {\"box_2d\": [696, 332, 761, 378], \"label\": \"white standard price tag\"},\n {\"box_2d\": [707, 652, 770, 699], \"label\": \"white standard price tag\"},\n {\"box_2d\": [708, 729, 770, 778], \"label\": \"white standard price tag\"},\n {\"box_2d\": [713, 824, 776, 872], \"label\": \"white standard price tag\"},\n {\"box_2d\": [718, 899, 780, 949], \"label\": \"white standard price tag\"},\n {\"box_2d\": [674, 420, 924, 486], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [680, 562, 928, 626], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [697, 943, 941, 1000], \"label\": \"yellow large price tag\"}\n]\n```", "correct": true, "input_tokens": 1222, "output_tokens": 774, "elapsed_seconds": 105.16151841694955, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 21, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 105.6375}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 107, "image": "IMG_20220316_163220_jpg.rf.07e174636631b0be143879d240f8f468.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [287, 79, 754, 377], \"label\": \"three of diamonds\"},\n {\"box_2d\": [406, 81, 922, 405], \"label\": \"ace of diamonds\"},\n {\"box_2d\": [400, 396, 869, 731], \"label\": \"two of diamonds\"},\n {\"box_2d\": [155, 452, 634, 809], \"label\": \"four of diamonds\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 154, "elapsed_seconds": 18.816910709021613, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 18.8573}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 108, "image": "2e57b9_3_10_png_jpg.rf.93746b4a960366b1a012ad339a5d68e1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [579, 59, 625, 70], \"label\": \"player\"},\n {\"box_2d\": [474, 138, 513, 148], \"label\": \"goalkeeper\"},\n {\"box_2d\": [457, 217, 495, 229], \"label\": \"player\"},\n {\"box_2d\": [478, 214, 520, 226], \"label\": \"player\"},\n {\"box_2d\": [423, 263, 459, 272], \"label\": \"player\"},\n {\"box_2d\": [500, 283, 542, 294], \"label\": \"player\"},\n {\"box_2d\": [581, 237, 627, 247], \"label\": \"player\"},\n {\"box_2d\": [749, 159, 811, 178], \"label\": \"player\"},\n {\"box_2d\": [589, 349, 639, 359], \"label\": \"player\"},\n {\"box_2d\": [380, 391, 412, 397], \"label\": \"player\"},\n {\"box_2d\": [416, 389, 451, 398], \"label\": \"player\"},\n {\"box_2d\": [447, 457, 485, 464], \"label\": \"player\"},\n {\"box_2d\": [471, 500, 511, 508], \"label\": \"player\"},\n {\"box_2d\": [495, 480, 534, 489], \"label\": \"referee\"},\n {\"box_2d\": [545, 464, 591, 476], \"label\": \"player\"},\n {\"box_2d\": [544, 497, 590, 505], \"label\": \"player\"},\n {\"box_2d\": [585, 439, 634, 446], \"label\": \"player\"},\n {\"box_2d\": [689, 488, 748, 498], \"label\": \"player\"},\n {\"box_2d\": [405, 630, 440, 638], \"label\": \"player\"},\n {\"box_2d\": [407, 658, 442, 666], \"label\": \"player\"},\n {\"box_2d\": [451, 676, 492, 684], \"label\": \"player\"},\n {\"box_2d\": [535, 694, 581, 704], \"label\": \"player\"},\n {\"box_2d\": [914, 747, 987, 773], \"label\": \"referee\"},\n {\"box_2d\": [506, 143, 513, 149], \"label\": \"football\"}\n]\n```", "correct": false, "input_tokens": 1242, "output_tokens": 829, "elapsed_seconds": 59.727410875028, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6534653306007385, "attempts": 1, "retries": 0, "total_seconds": 59.8603}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 109, "image": "img283_png.rf.c0609f1f38390a89165e7c735d693ab6.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [77, 367, 143, 450], \"label\": \"and gate symbol\"},\n {\"box_2d\": [29, 541, 95, 624], \"label\": \"and gate symbol\"},\n {\"box_2d\": [123, 541, 191, 624], \"label\": \"and gate symbol\"},\n {\"box_2d\": [219, 541, 286, 624], \"label\": \"and gate symbol\"},\n {\"box_2d\": [250, 367, 317, 450], \"label\": \"and gate symbol\"},\n {\"box_2d\": [329, 541, 396, 624], \"label\": \"and gate symbol\"},\n {\"box_2d\": [171, 756, 238, 840], \"label\": \"or gate symbol\"},\n {\"box_2d\": [345, 37, 390, 80], \"label\": \"not gate symbol\"},\n {\"box_2d\": [345, 91, 390, 134], \"label\": \"not gate symbol\"},\n {\"box_2d\": [551, 144, 595, 188], \"label\": \"not gate symbol\"},\n {\"box_2d\": [551, 198, 595, 241], \"label\": \"not gate symbol\"},\n {\"box_2d\": [392, 394, 460, 476], \"label\": \"and gate symbol\"},\n {\"box_2d\": [488, 394, 554, 476], \"label\": \"and gate symbol\"},\n {\"box_2d\": [583, 394, 650, 476], \"label\": \"and gate symbol\"},\n {\"box_2d\": [678, 394, 745, 476], \"label\": \"and gate symbol\"},\n {\"box_2d\": [440, 541, 507, 624], \"label\": \"or gate symbol\"},\n {\"box_2d\": [630, 541, 697, 624], \"label\": \"or gate symbol\"},\n {\"box_2d\": [535, 703, 602, 785], \"label\": \"and gate symbol\"},\n {\"box_2d\": [661, 864, 729, 947], \"label\": \"or gate symbol\"},\n {\"box_2d\": [788, 367, 855, 450], \"label\": \"and gate symbol\"},\n {\"box_2d\": [836, 555, 903, 638], \"label\": \"or gate symbol\"},\n {\"box_2d\": [915, 353, 982, 436], \"label\": \"and gate symbol\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 798, "elapsed_seconds": 29.400140832993202, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 29.4119}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 110, "image": "000002_png.rf.4f51fa98e7c1b825375b26d30324d587.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [757, 495, 780, 524], \"label\": \"tire spike normal\"},\n {\"box_2d\": [572, 434, 593, 463], \"label\": \"tire spike normal\"},\n {\"box_2d\": [508, 377, 529, 405], \"label\": \"tire spike normal\"},\n {\"box_2d\": [411, 381, 432, 409], \"label\": \"tire spike normal\"},\n {\"box_2d\": [347, 325, 368, 353], \"label\": \"tire spike normal\"},\n {\"box_2d\": [250, 297, 271, 326], \"label\": \"tire spike absent\"},\n {\"box_2d\": [193, 244, 213, 272], \"label\": \"tire spike absent\"},\n {\"box_2d\": [332, 677, 353, 706], \"label\": \"tire spike normal\"},\n {\"box_2d\": [243, 642, 264, 670], \"label\": \"tire spike normal\"},\n {\"box_2d\": [173, 574, 193, 602], \"label\": \"tire spike normal\"},\n {\"box_2d\": [388, 745, 409, 773], \"label\": \"tire spike normal\"},\n {\"box_2d\": [465, 761, 486, 790], \"label\": \"tire spike normal\"},\n {\"box_2d\": [542, 779, 563, 807], \"label\": \"tire spike normal\"},\n {\"box_2d\": [612, 838, 633, 866], \"label\": \"tire spike normal\"},\n {\"box_2d\": [712, 833, 734, 862], \"label\": \"tire spike normal\"},\n {\"box_2d\": [765, 871, 786, 900], \"label\": \"tire spike normal\"},\n {\"box_2d\": [826, 567, 847, 596], \"label\": \"tire spike absent\"},\n {\"box_2d\": [151, 200, 172, 229], \"label\": \"tire spike absent\"},\n {\"box_2d\": [108, 210, 129, 239], \"label\": \"tire spike absent\"},\n {\"box_2d\": [92, 162, 113, 190], \"label\": \"tire spike absent\"},\n {\"box_2d\": [94, 521, 115, 550], \"label\": \"tire spike normal\"},\n {\"box_2d\": [79, 464, 100, 492], \"label\": \"tire spike normal\"}\n]\n```", "correct": false, "input_tokens": 1244, "output_tokens": 801, "elapsed_seconds": 16.17177775001619, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 25, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6831682920455933, "attempts": 1, "retries": 0, "total_seconds": 16.2034}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 111, "image": "20210325_203906_jpg.rf.933d9e03e479d146bb70034cc952f103.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [761, 434, 927, 606], \"label\": \"10 euro cent coin\"},\n {\"box_2d\": [153, 223, 302, 370], \"label\": \"1 euro cent coin\"},\n {\"box_2d\": [125, 517, 302, 691], \"label\": \"2 euro cent coin\"},\n {\"box_2d\": [266, 366, 455, 555], \"label\": \"5 euro cent coin\"},\n {\"box_2d\": [331, 653, 567, 894], \"label\": \"2 euro coin\"},\n {\"box_2d\": [478, 459, 672, 656], \"label\": \"20 euro cent coin\"},\n {\"box_2d\": [541, 217, 742, 420], \"label\": \"1 euro coin\"},\n {\"box_2d\": [322, 72, 538, 291], \"label\": \"50 euro cent coin\"}\n]\n```", "correct": true, "input_tokens": 1272, "output_tokens": 308, "elapsed_seconds": 7.513186541036703, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 7.5318}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 112, "image": "IMG_6680_jpeg_jpg.rf.a7e13dbe56d360a8422903a30c5bef2b.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [504, 34, 562, 204], \"label\": \"green poker chip\"},\n {\"box_2d\": [450, 30, 526, 198], \"label\": \"green poker chip\"},\n {\"box_2d\": [488, 28, 545, 200], \"label\": \"green poker chip\"},\n {\"box_2d\": [447, 227, 522, 382], \"label\": \"orange poker chip\"},\n {\"box_2d\": [482, 232, 539, 386], \"label\": \"orange poker chip\"},\n {\"box_2d\": [498, 214, 560, 368], \"label\": \"orange poker chip\"},\n {\"box_2d\": [446, 431, 517, 583], \"label\": \"red poker chip\"},\n {\"box_2d\": [474, 420, 535, 572], \"label\": \"red poker chip\"},\n {\"box_2d\": [498, 435, 557, 589], \"label\": \"red poker chip\"},\n {\"box_2d\": [449, 623, 522, 782], \"label\": \"blue poker chip\"},\n {\"box_2d\": [481, 621, 538, 781], \"label\": \"blue poker chip\"},\n {\"box_2d\": [502, 624, 562, 788], \"label\": \"blue poker chip\"},\n {\"box_2d\": [438, 803, 508, 970], \"label\": \"white poker chip\"},\n {\"box_2d\": [478, 814, 534, 988], \"label\": \"white poker chip\"},\n {\"box_2d\": [489, 812, 550, 987], \"label\": \"white poker chip\"}\n]\n```", "correct": true, "input_tokens": 1243, "output_tokens": 549, "elapsed_seconds": 7.945548875024542, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 7.9682}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 113, "image": "paper-parts_1947_92_jpg.rf.c89564b4b37a6d7828cc26ccdadbe488.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [98, 118, 115, 632], \"label\": \"paragraph\"},\n {\"box_2d\": [98, 860, 115, 880], \"label\": \"page number\"},\n {\"box_2d\": [138, 232, 474, 769], \"label\": \"figure\"},\n {\"box_2d\": [485, 118, 520, 881], \"label\": \"figure caption\"},\n {\"box_2d\": [520, 495, 537, 499], \"label\": \"paragraph\"},\n {\"box_2d\": [549, 267, 566, 732], \"label\": \"table caption\"},\n {\"box_2d\": [579, 224, 691, 777], \"label\": \"table\"},\n {\"box_2d\": [720, 118, 754, 881], \"label\": \"paragraph\"},\n {\"box_2d\": [776, 118, 792, 336], \"label\": \"subsection\"},\n {\"box_2d\": [804, 118, 838, 881], \"label\": \"paragraph\"},\n {\"box_2d\": [851, 427, 884, 571], \"label\": \"equation\"},\n {\"box_2d\": [887, 118, 922, 536], \"label\": \"paragraph\"}\n]\n```", "correct": true, "input_tokens": 1255, "output_tokens": 421, "elapsed_seconds": 10.105036541004665, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 10, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9499999284744263, "attempts": 1, "retries": 0, "total_seconds": 10.1643}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 114, "image": "160623_JPG_jpg.rf.4a3c396118b0f749044f2bf5dc9876a6.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 405, 962, 516], \"label\": \"insulator flashover\"}\n]\n```", "correct": false, "input_tokens": 1218, "output_tokens": 47, "elapsed_seconds": 103.87402070802636, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 104.7773}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 115, "image": "97_jpg.rf.6e96875525666efd5c6ee92a42ea704b.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [155, 443, 232, 488], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [500, 114, 622, 160], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [393, 257, 430, 314], \"label\": \"resistor symbol\"},\n {\"box_2d\": [811, 281, 860, 349], \"label\": \"resistor symbol\"},\n {\"box_2d\": [399, 642, 436, 709], \"label\": \"resistor symbol\"},\n {\"box_2d\": [558, 865, 695, 888], \"label\": \"resistor symbol\"},\n {\"box_2d\": [360, 772, 445, 811], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [546, 519, 649, 560], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [366, 415, 454, 469], \"label\": \"dc voltage source symbol\"}\n]\n```", "correct": true, "input_tokens": 1251, "output_tokens": 341, "elapsed_seconds": 6.358283000066876, "metadata": {"match_method": "map", "num_predictions": 9, "num_ground_truth": 9, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 6.3665}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 116, "image": "IMG_20260128_081234_jpg.rf.66b0abebc9fc2c6dc309b213a32ddf78.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [729, 36, 838, 108], \"label\": \"white standard price tag\"},\n {\"box_2d\": [736, 256, 845, 330], \"label\": \"white standard price tag\"},\n {\"box_2d\": [736, 355, 843, 427], \"label\": \"white standard price tag\"},\n {\"box_2d\": [738, 442, 843, 513], \"label\": \"white standard price tag\"},\n {\"box_2d\": [741, 558, 845, 628], \"label\": \"white standard price tag\"},\n {\"box_2d\": [743, 699, 848, 769], \"label\": \"white standard price tag\"},\n {\"box_2d\": [745, 805, 848, 875], \"label\": \"white standard price tag\"},\n {\"box_2d\": [745, 880, 849, 949], \"label\": \"white standard price tag\"},\n {\"box_2d\": [746, 948, 848, 1000], \"label\": \"white standard price tag\"},\n {\"box_2d\": [61, 899, 178, 976], \"label\": \"white standard price tag\"},\n {\"box_2d\": [46, 588, 169, 665], \"label\": \"white standard price tag\"},\n {\"box_2d\": [29, 405, 359, 492], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [13, 297, 355, 396], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [6, 84, 364, 189], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [32, 290, 152, 311], \"label\": \"white standard price tag\"}\n]\n```", "correct": true, "input_tokens": 1222, "output_tokens": 559, "elapsed_seconds": 37.145638999994844, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 14, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 37.5465}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 117, "image": "1668147222__jpg.rf.44d299ff8b2787b4176e92260de001ce.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [598, 40, 643, 68], \"label\": \"five die\"},\n {\"box_2d\": [842, 120, 899, 154], \"label\": \"five die\"},\n {\"box_2d\": [504, 108, 560, 141], \"label\": \"six die\"},\n {\"box_2d\": [568, 145, 624, 179], \"label\": \"three die\"},\n {\"box_2d\": [356, 124, 402, 152], \"label\": \"six die\"},\n {\"box_2d\": [281, 206, 328, 235], \"label\": \"five die\"},\n {\"box_2d\": [423, 221, 469, 248], \"label\": \"five die\"},\n {\"box_2d\": [373, 293, 429, 325], \"label\": \"one die\"},\n {\"box_2d\": [427, 305, 472, 330], \"label\": \"two die\"},\n {\"box_2d\": [583, 283, 634, 311], \"label\": \"six die\"},\n {\"box_2d\": [131, 319, 187, 348], \"label\": \"four die\"},\n {\"box_2d\": [174, 381, 232, 412], \"label\": \"two die\"},\n {\"box_2d\": [135, 398, 193, 429], \"label\": \"one die\"},\n {\"box_2d\": [526, 391, 580, 422], \"label\": \"four die\"},\n {\"box_2d\": [643, 373, 698, 404], \"label\": \"six die\"},\n {\"box_2d\": [757, 449, 803, 474], \"label\": \"five die\"},\n {\"box_2d\": [761, 510, 811, 537], \"label\": \"four die\"},\n {\"box_2d\": [771, 564, 828, 595], \"label\": \"four die\"},\n {\"box_2d\": [626, 502, 671, 526], \"label\": \"two die\"},\n {\"box_2d\": [630, 541, 686, 573], \"label\": \"two die\"},\n {\"box_2d\": [592, 583, 637, 608], \"label\": \"five die\"},\n {\"box_2d\": [403, 473, 456, 503], \"label\": \"one die\"},\n {\"box_2d\": [302, 490, 353, 517], \"label\": \"three die\"},\n {\"box_2d\": [376, 531, 429, 561], \"label\": \"six die\"},\n {\"box_2d\": [461, 586, 518, 618], \"label\": \"six die\"},\n {\"box_2d\": [482, 626, 537, 658], \"label\": \"one die\"},\n {\"box_2d\": [537, 628, 589, 657], \"label\": \"four die\"},\n {\"box_2d\": [568, 651, 624, 683], \"label\": \"six die\"},\n {\"box_2d\": [641, 665, 696, 696], \"label\": \"three die\"},\n {\"box_2d\": [213, 496, 271, 529], \"label\": \"one die\"},\n {\"box_2d\": [230, 529, 281, 555], \"label\": \"two die\"},\n {\"box_2d\": [182, 539, 240, 571], \"label\": \"five die\"},\n {\"box_2d\": [126, 554, 179, 582], \"label\": \"two die\"},\n {\"box_2d\": [171, 570, 224, 600], \"label\": \"two die\"},\n {\"box_2d\": [21, 613, 81, 644], \"label\": \"five die\"},\n {\"box_2d\": [286, 612, 342, 644], \"label\": \"two die\"},\n {\"box_2d\": [336, 634, 382, 661], \"label\": \"two die\"},\n {\"box_2d\": [397, 639, 444, 667], \"label\": \"five die\"},\n {\"box_2d\": [354, 696, 400, 722], \"label\": \"four die\"},\n {\"box_2d\": [401, 730, 460, 764], \"label\": \"four die\"},\n {\"box_2d\": [463, 742, 520, 776], \"label\": \"five die\"},\n {\"box_2d\": [514, 757, 566, 787], \"label\": \"two die\"},\n {\"box_2d\": [586, 769, 641, 801], \"label\": \"three die\"},\n {\"box_2d\": [138, 728, 191, 759], \"label\": \"one die\"},\n {\"box_2d\": [158, 792, 217, 825], \"label\": \"three die\"},\n {\"box_2d\": [450, 859, 497, 887], \"label\": \"four die\"},\n {\"box_2d\": [700, 912, 747, 941], \"label\": \"five die\"},\n {\"box_2d\": [82, 935, 134, 964], \"label\": \"two die\"},\n {\"box_2d\": [128, 919, 182, 951], \"label\": \"two die\"},\n {\"box_2d\": [127, 948, 177, 977], \"label\": \"three die\"}\n]\n```", "correct": true, "input_tokens": 1252, "output_tokens": 1757, "elapsed_seconds": 18.92876837507356, "metadata": {"match_method": "map", "num_predictions": 50, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9752475023269653, "attempts": 1, "retries": 0, "total_seconds": 18.9876}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 118, "image": "IMG_0603_jpeg.rf.ecb146a41f95c297fa9a3a9efb0e3ea5.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [461, 214, 616, 310], \"label\": \"peach jelly bean\"},\n {\"box_2d\": [339, 396, 456, 466], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [468, 521, 588, 639], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [345, 689, 447, 798], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [96, 771, 159, 822], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [103, 820, 160, 871], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [121, 868, 164, 910], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [153, 856, 215, 903], \"label\": \"caramel corn jelly bean\"}\n]\n```", "correct": true, "input_tokens": 1230, "output_tokens": 315, "elapsed_seconds": 33.39767141698394, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8341583609580994, "attempts": 1, "retries": 0, "total_seconds": 33.4494}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 119, "image": "lot229_JPEG_jpg.rf.ffdf35568953f3fde9f8f46749018268.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [771, 355, 790, 395], \"label\": \"chicory seed\"},\n {\"box_2d\": [711, 279, 746, 309], \"label\": \"chicory seed\"},\n {\"box_2d\": [686, 330, 722, 352], \"label\": \"chicory seed\"},\n {\"box_2d\": [680, 345, 706, 386], \"label\": \"chicory seed\"},\n {\"box_2d\": [635, 275, 676, 294], \"label\": \"chicory seed\"},\n {\"box_2d\": [641, 195, 676, 230], \"label\": \"chicory seed\"},\n {\"box_2d\": [600, 197, 634, 232], \"label\": \"chicory seed\"},\n {\"box_2d\": [595, 173, 631, 204], \"label\": \"chicory seed\"},\n {\"box_2d\": [556, 185, 588, 217], \"label\": \"chicory seed\"},\n {\"box_2d\": [525, 222, 562, 250], \"label\": \"chicory seed\"},\n {\"box_2d\": [523, 246, 554, 283], \"label\": \"chicory seed\"},\n {\"box_2d\": [568, 266, 606, 290], \"label\": \"chicory seed\"},\n {\"box_2d\": [485, 189, 524, 215], \"label\": \"chicory seed\"},\n {\"box_2d\": [461, 191, 478, 231], \"label\": \"chicory seed\"},\n {\"box_2d\": [480, 235, 509, 271], \"label\": \"chicory seed\"},\n {\"box_2d\": [462, 243, 495, 278], \"label\": \"chicory seed\"},\n {\"box_2d\": [510, 268, 531, 307], \"label\": \"chicory seed\"},\n {\"box_2d\": [425, 231, 456, 269], \"label\": \"chicory seed\"},\n {\"box_2d\": [399, 230, 434, 257], \"label\": \"chicory seed\"},\n {\"box_2d\": [395, 205, 424, 241], \"label\": \"chicory seed\"},\n {\"box_2d\": [425, 198, 460, 226], \"label\": \"chicory seed\"},\n {\"box_2d\": [405, 179, 446, 200], \"label\": \"chicory seed\"},\n {\"box_2d\": [365, 189, 405, 210], \"label\": \"chicory seed\"},\n {\"box_2d\": [387, 146, 415, 176], \"label\": \"chicory seed\"},\n {\"box_2d\": [375, 128, 400, 167], \"label\": \"chicory seed\"},\n {\"box_2d\": [317, 204, 353, 233], \"label\": \"chicory seed\"},\n {\"box_2d\": [250, 198, 279, 238], \"label\": \"chicory seed\"},\n {\"box_2d\": [266, 221, 299, 247], \"label\": \"chicory seed\"},\n {\"box_2d\": [217, 231, 258, 250], \"label\": \"chicory seed\"},\n {\"box_2d\": [230, 248, 269, 265], \"label\": \"chicory seed\"},\n {\"box_2d\": [266, 244, 286, 283], \"label\": \"chicory seed\"},\n {\"box_2d\": [195, 239, 216, 282], \"label\": \"chicory seed\"},\n {\"box_2d\": [180, 264, 204, 299], \"label\": \"chicory seed\"},\n {\"box_2d\": [214, 254, 233, 294], \"label\": \"chicory seed\"},\n {\"box_2d\": [226, 265, 261, 301], \"label\": \"chicory seed\"},\n {\"box_2d\": [168, 301, 189, 342], \"label\": \"chicory seed\"},\n {\"box_2d\": [189, 315, 220, 353], \"label\": \"chicory seed\"},\n {\"box_2d\": [211, 316, 251, 345], \"label\": \"chicory seed\"},\n {\"box_2d\": [227, 302, 260, 333], \"label\": \"chicory seed\"},\n {\"box_2d\": [260, 306, 280, 350], \"label\": \"chicory seed\"},\n {\"box_2d\": [132, 355, 171, 378], \"label\": \"chicory seed\"},\n {\"box_2d\": [169, 348, 209, 370], \"label\": \"chicory seed\"},\n {\"box_2d\": [140, 376, 180, 398], \"label\": \"chicory seed\"},\n {\"box_2d\": [119, 412, 160, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [134, 432, 168, 468], \"label\": \"chicory seed\"},\n {\"box_2d\": [116, 452, 136, 495], \"label\": \"chicory seed\"},\n {\"box_2d\": [123, 466, 151, 507], \"label\": \"chicory seed\"},\n {\"box_2d\": [151, 451, 181, 488], \"label\": \"chicory seed\"},\n {\"box_2d\": [127, 488, 165, 521], \"label\": \"chicory seed\"},\n {\"box_2d\": [125, 540, 144, 585], \"label\": \"chicory seed\"},\n {\"box_2d\": [168, 658, 196, 695], \"label\": \"chicory seed\"},\n {\"box_2d\": [199, 680, 239, 701], \"label\": \"chicory seed\"},\n {\"box_2d\": [206, 700, 246, 718], \"label\": \"chicory seed\"},\n {\"box_2d\": [237, 718, 279, 743], \"label\": \"chicory seed\"},\n {\"box_2d\": [279, 719, 319, 738], \"label\": \"chicory seed\"},\n {\"box_2d\": [274, 748, 315, 771], \"label\": \"chicory seed\"},\n {\"box_2d\": [278, 763, 312, 793], \"label\": \"chicory seed\"},\n {\"box_2d\": [307, 773, 349, 800], \"label\": \"chicory seed\"},\n {\"box_2d\": [330, 787, 362, 822], \"label\": \"chicory seed\"},\n {\"box_2d\": [351, 789, 380, 829], \"label\": \"chicory seed\"},\n {\"box_2d\": [359, 745, 381, 786], \"label\": \"chicory seed\"},\n {\"box_2d\": [397, 773, 436, 807], \"label\": \"chicory seed\"},\n {\"box_2d\": [427, 780, 464, 814], \"label\": \"chicory seed\"},\n {\"box_2d\": [422, 753, 460, 778], \"label\": \"chicory seed\"},\n {\"box_2d\": [396, 733, 434, 767], \"label\": \"chicory seed\"},\n {\"box_2d\": [478, 797, 506, 833], \"label\": \"chicory seed\"},\n {\"box_2d\": [492, 804, 526, 842], \"label\": \"chicory seed\"},\n {\"box_2d\": [501, 782, 537, 804], \"label\": \"chicory seed\"},\n {\"box_2d\": [542, 772, 585, 792], \"label\": \"chicory seed\"},\n {\"box_2d\": [577, 749, 616, 768], \"label\": \"chicory seed\"},\n {\"box_2d\": [618, 736, 640, 775], \"label\": \"chicory seed\"},\n {\"box_2d\": [639, 709, 661, 753], \"label\": \"chicory seed\"},\n {\"box_2d\": [665, 718, 696, 757], \"label\": \"chicory seed\"},\n {\"box_2d\": [686, 681, 718, 718], \"label\": \"chicory seed\"},\n {\"box_2d\": [704, 662, 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366], \"label\": \"chicory seed\"},\n {\"box_2d\": [319, 346, 343, 389], \"label\": \"chicory seed\"},\n {\"box_2d\": [290, 364, 327, 400], \"label\": \"chicory seed\"},\n {\"box_2d\": [271, 373, 311, 403], \"label\": \"chicory seed\"},\n {\"box_2d\": [280, 398, 300, 441], \"label\": \"chicory seed\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 10884, "elapsed_seconds": 82.99796279205475, "metadata": {"match_method": "map", "num_predictions": 302, "num_ground_truth": 303, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3366336524486542, "attempts": 1, "retries": 0, "total_seconds": 83.119}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 120, "image": "Screenshot-2024-05-16-144630_png.rf.ac24f71a7370686a36ea1f2bec910257.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [77, 128, 92, 145], \"label\": \"bullet hole\"},\n {\"box_2d\": [8, 120, 27, 138], \"label\": \"bullet hole\"},\n {\"box_2d\": [168, 139, 188, 155], \"label\": \"bullet hole\"},\n {\"box_2d\": [227, 146, 246, 164], \"label\": \"bullet hole\"},\n {\"box_2d\": [179, 342, 199, 362], \"label\": \"bullet hole\"},\n {\"box_2d\": [114, 341, 134, 362], \"label\": \"bullet hole\"},\n {\"box_2d\": [52, 342, 70, 364], \"label\": \"bullet hole\"},\n {\"box_2d\": [101, 566, 120, 583], \"label\": \"bullet hole\"},\n {\"box_2d\": [213, 507, 234, 528], \"label\": \"bullet hole\"},\n {\"box_2d\": [68, 809, 87, 830], \"label\": \"bullet hole\"},\n {\"box_2d\": [139, 795, 160, 816], \"label\": \"bullet hole\"},\n {\"box_2d\": [227, 849, 244, 868], \"label\": \"bullet hole\"},\n {\"box_2d\": [224, 671, 246, 694], \"label\": \"bullet hole\"},\n {\"box_2d\": [258, 612, 276, 631], \"label\": \"bullet hole\"},\n {\"box_2d\": [321, 670, 338, 692], \"label\": \"bullet hole\"},\n {\"box_2d\": [332, 836, 355, 856], \"label\": \"bullet hole\"},\n {\"box_2d\": [389, 829, 415, 849], \"label\": \"bullet hole\"},\n {\"box_2d\": [313, 561, 333, 581], \"label\": \"bullet hole\"},\n {\"box_2d\": [360, 610, 381, 630], \"label\": \"bullet hole\"},\n {\"box_2d\": [351, 276, 373, 297], \"label\": \"bullet hole\"},\n {\"box_2d\": [423, 222, 444, 242], \"label\": \"bullet hole\"},\n {\"box_2d\": [475, 158, 487, 170], \"label\": \"bullet hole\"},\n {\"box_2d\": [571, 93, 594, 114], \"label\": \"bullet hole\"},\n {\"box_2d\": [635, 36, 646, 54], \"label\": \"bullet hole\"},\n {\"box_2d\": [612, 248, 631, 269], \"label\": \"bullet hole\"},\n {\"box_2d\": [568, 273, 590, 293], \"label\": \"bullet hole\"},\n {\"box_2d\": [581, 363, 603, 385], \"label\": \"bullet hole\"},\n {\"box_2d\": [529, 464, 553, 486], \"label\": \"bullet hole\"},\n {\"box_2d\": [586, 612, 609, 632], \"label\": \"bullet hole\"},\n {\"box_2d\": [685, 610, 709, 631], \"label\": \"bullet hole\"},\n {\"box_2d\": [687, 452, 709, 471], \"label\": \"bullet hole\"},\n {\"box_2d\": [721, 357, 742, 380], \"label\": \"bullet hole\"},\n {\"box_2d\": [745, 259, 763, 283], \"label\": \"bullet hole\"},\n {\"box_2d\": [744, 173, 761, 191], \"label\": \"bullet hole\"},\n {\"box_2d\": [797, 238, 819, 255], \"label\": \"bullet hole\"},\n {\"box_2d\": [783, 344, 804, 362], \"label\": \"bullet hole\"},\n {\"box_2d\": [854, 324, 875, 341], \"label\": \"bullet hole\"},\n {\"box_2d\": [929, 170, 944, 186], \"label\": \"bullet hole\"},\n {\"box_2d\": [881, 456, 904, 477], \"label\": \"bullet hole\"},\n {\"box_2d\": [812, 519, 833, 539], \"label\": \"bullet hole\"},\n {\"box_2d\": [935, 539, 953, 560], \"label\": \"bullet hole\"},\n {\"box_2d\": [863, 610, 880, 631], \"label\": \"bullet hole\"},\n {\"box_2d\": [891, 782, 912, 801], \"label\": \"bullet hole\"},\n {\"box_2d\": [895, 889, 916, 907], \"label\": \"bullet hole\"}\n]\n```", "correct": false, "input_tokens": 1222, "output_tokens": 1540, "elapsed_seconds": 22.528877000091597, "metadata": {"match_method": "map", "num_predictions": 44, "num_ground_truth": 44, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.038588475435972214, "attempts": 1, "retries": 0, "total_seconds": 22.5592}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 121, "image": "GP010255_JPG_jpg.rf.a9c124de642391662cf0875377214d1e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [666, 633, 811, 795], \"label\": \"carrot\"},\n {\"box_2d\": [572, 488, 761, 591], \"label\": \"carrot\"},\n {\"box_2d\": [461, 683, 694, 766], \"label\": \"carrot\"},\n {\"box_2d\": [495, 369, 703, 461], \"label\": \"carrot\"},\n {\"box_2d\": [491, 553, 731, 630], \"label\": \"carrot\"},\n {\"box_2d\": [517, 467, 720, 520], \"label\": \"carrot\"},\n {\"box_2d\": [461, 623, 667, 688], \"label\": \"carrot\"},\n {\"box_2d\": [438, 331, 478, 520], \"label\": \"carrot\"},\n {\"box_2d\": [461, 381, 620, 475], \"label\": \"carrot\"},\n {\"box_2d\": [381, 514, 631, 577], \"label\": \"carrot\"},\n {\"box_2d\": [306, 645, 458, 788], \"label\": \"carrot\"},\n {\"box_2d\": [447, 275, 709, 344], \"label\": \"carrot\"},\n {\"box_2d\": [311, 303, 488, 367], \"label\": \"carrot\"},\n {\"box_2d\": [238, 345, 434, 444], \"label\": \"carrot\"},\n {\"box_2d\": [211, 319, 342, 395], \"label\": \"carrot\"},\n {\"box_2d\": [138, 281, 291, 419], \"label\": \"carrot\"},\n {\"box_2d\": [178, 381, 302, 623], \"label\": \"carrot\"},\n {\"box_2d\": [181, 591, 342, 777], \"label\": \"carrot\"},\n {\"box_2d\": [275, 430, 419, 616], \"label\": \"carrot\"},\n {\"box_2d\": [123, 509, 200, 770], \"label\": \"carrot\"},\n {\"box_2d\": [92, 347, 245, 559], \"label\": \"carrot\"},\n {\"box_2d\": [66, 523, 166, 784], \"label\": \"carrot\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 758, "elapsed_seconds": 10.017725707963109, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 10.0436}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 122, "image": "20210325_203749_jpg.rf.1705fa1e1420cef9584e0f51c930586c.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [200, 134, 405, 347], \"label\": \"50 euro cent coin\"},\n {\"box_2d\": [134, 425, 327, 622], \"label\": \"1 euro coin\"},\n {\"box_2d\": [158, 683, 322, 852], \"label\": \"10 euro cent coin\"},\n {\"box_2d\": [439, 227, 603, 394], \"label\": \"2 euro cent coin\"},\n {\"box_2d\": [367, 481, 505, 620], \"label\": \"1 euro cent coin\"},\n {\"box_2d\": [384, 750, 562, 933], \"label\": \"5 euro cent coin\"},\n {\"box_2d\": [612, 419, 805, 609], \"label\": \"20 euro cent coin\"},\n {\"box_2d\": [611, 634, 833, 858], \"label\": \"2 euro coin\"}\n]\n```", "correct": true, "input_tokens": 1272, "output_tokens": 309, "elapsed_seconds": 5.067083374946378, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 5.0873}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 123, "image": "53_jpeg_jpg.rf.827706d6e6ec3d14c5952c8d4c752e99.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [715, 65, 795, 193], \"label\": \"potato\"},\n {\"box_2d\": [922, 13, 1000, 109], \"label\": \"potato\"},\n {\"box_2d\": [926, 437, 1000, 526], \"label\": \"potato\"},\n {\"box_2d\": [715, 415, 859, 499], \"label\": \"potato\"},\n {\"box_2d\": [490, 574, 619, 688], \"label\": \"potato\"},\n {\"box_2d\": [520, 699, 623, 801], \"label\": \"potato\"},\n {\"box_2d\": [721, 625, 820, 717], \"label\": \"potato\"},\n {\"box_2d\": [920, 676, 1000, 770], \"label\": \"potato\"},\n {\"box_2d\": [719, 890, 801, 970], \"label\": \"potato\"},\n {\"box_2d\": [514, 845, 621, 947], \"label\": \"potato\"},\n {\"box_2d\": [314, 849, 428, 950], \"label\": \"potato\"},\n {\"box_2d\": [90, 378, 203, 490], \"label\": \"potato\"},\n {\"box_2d\": [129, 957, 250, 999], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1240, "output_tokens": 454, "elapsed_seconds": 7.906789957894944, "metadata": {"match_method": "map", "num_predictions": 13, "num_ground_truth": 13, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 7.9494}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 124, "image": "car-part-detection_Car-damages-1749_png_jpg.rf.841bd72a48ea0726dc55d3cf93207af1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [562, 60, 725, 118], \"label\": \"back bumper\"},\n {\"box_2d\": [432, 74, 549, 130], \"label\": \"tail light\"},\n {\"box_2d\": [278, 198, 721, 464], \"label\": \"back door\"},\n {\"box_2d\": [283, 210, 444, 431], \"label\": \"back window\"},\n {\"box_2d\": [280, 455, 459, 686], \"label\": \"front window\"},\n {\"box_2d\": [406, 675, 469, 711], \"label\": \"mirror\"},\n {\"box_2d\": [401, 742, 460, 919], \"label\": \"hood\"},\n {\"box_2d\": [572, 896, 712, 987], \"label\": \"front bumper\"},\n {\"box_2d\": [278, 443, 721, 743], \"label\": \"front door\"},\n {\"box_2d\": [298, 86, 421, 160], \"label\": \"back windshield\"},\n {\"box_2d\": [535, 926, 578, 950], \"label\": \"headlight\"},\n {\"box_2d\": [324, 639, 448, 769], \"label\": \"windshield\"}\n]\n```", "correct": false, "input_tokens": 1246, "output_tokens": 427, "elapsed_seconds": 12.53008191601839, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 13, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7087457776069641, "attempts": 1, "retries": 0, "total_seconds": 12.5607}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 125, "image": "1704196661687_jpg.rf.15374227e4fbd79145880dc340991d51.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [77, 452, 173, 520], \"label\": \"bean grain\"},\n {\"box_2d\": [111, 586, 197, 675], \"label\": \"bean grain\"},\n {\"box_2d\": [189, 305, 297, 378], \"label\": \"bean grain\"},\n {\"box_2d\": [202, 144, 286, 212], \"label\": \"bean grain\"},\n {\"box_2d\": [219, 536, 297, 642], \"label\": \"bean grain\"},\n {\"box_2d\": [191, 817, 270, 912], \"label\": \"bean grain\"},\n {\"box_2d\": [373, 134, 445, 238], \"label\": \"bean grain\"},\n {\"box_2d\": [455, 381, 538, 480], \"label\": \"bean grain\"},\n {\"box_2d\": [389, 716, 492, 795], \"label\": \"bean grain\"},\n {\"box_2d\": [548, 566, 625, 667], \"label\": \"bean grain\"},\n {\"box_2d\": [541, 859, 611, 962], \"label\": \"bean grain\"},\n {\"box_2d\": [638, 766, 700, 862], \"label\": \"bean grain\"},\n {\"box_2d\": [647, 405, 712, 500], \"label\": \"bean grain\"},\n {\"box_2d\": [611, 161, 691, 267], \"label\": \"bean grain\"},\n {\"box_2d\": [803, 344, 891, 439], \"label\": \"bean grain\"},\n {\"box_2d\": [755, 558, 842, 648], \"label\": \"bean grain\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 571, "elapsed_seconds": 29.44706545805093, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 29.4666}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 126, "image": "fall-detection_13_mp4-274_jpg.rf.81d37af519564fd17e00cbdde20bedcf.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [384, 520, 444, 623], \"label\": \"fallen person\"},\n {\"box_2d\": [381, 470, 434, 550], \"label\": \"fallen person\"},\n {\"box_2d\": [423, 588, 473, 725], \"label\": \"fallen person\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 117, "elapsed_seconds": 6.313375500030816, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 6.3297}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 127, "image": "tile_672_jpg.rf.563bc07bfb63272303ba7c8beec3dfd0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [24, 444, 79, 471], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [219, 712, 260, 738], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [332, 830, 355, 850], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [438, 682, 470, 702], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [471, 829, 521, 862], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [375, 336, 395, 365], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [515, 365, 539, 389], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [610, 426, 628, 449], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [602, 691, 629, 706], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [691, 824, 734, 858], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [876, 850, 916, 872], \"label\": \"ship in SAR satellite image\"}\n]\n```", "correct": true, "input_tokens": 1229, "output_tokens": 428, "elapsed_seconds": 15.716982541955076, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9108911156654358, "attempts": 1, "retries": 0, "total_seconds": 15.762}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 128, "image": "Screenshot-2024-05-16-150353_png.rf.28f931ef1556f4fbfc5b8964a85b5e08.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [77, 984, 111, 1000], \"label\": \"bullet hole\"},\n {\"box_2d\": [123, 896, 155, 926], \"label\": \"bullet hole\"},\n {\"box_2d\": [111, 761, 145, 795], \"label\": \"bullet hole\"},\n {\"box_2d\": [82, 598, 113, 629], \"label\": \"bullet hole\"},\n {\"box_2d\": [28, 413, 62, 449], \"label\": \"bullet hole\"},\n {\"box_2d\": [68, 335, 102, 369], \"label\": \"bullet hole\"},\n {\"box_2d\": [181, 467, 213, 500], \"label\": \"bullet hole\"},\n {\"box_2d\": [194, 376, 228, 405], \"label\": \"bullet hole\"},\n {\"box_2d\": [251, 282, 285, 319], \"label\": \"bullet hole\"},\n {\"box_2d\": [326, 224, 357, 256], \"label\": \"bullet hole\"},\n {\"box_2d\": [387, 255, 421, 289], \"label\": \"bullet hole\"},\n {\"box_2d\": [460, 299, 491, 334], \"label\": \"bullet hole\"},\n {\"box_2d\": [430, 81, 462, 116], \"label\": \"bullet hole\"},\n {\"box_2d\": [509, 55, 540, 91], \"label\": \"bullet hole\"},\n {\"box_2d\": [374, 2, 408, 35], \"label\": \"bullet hole\"},\n {\"box_2d\": [298, 66, 334, 102], \"label\": \"bullet hole\"},\n {\"box_2d\": [202, 159, 238, 194], \"label\": \"bullet hole\"},\n {\"box_2d\": [108, 79, 142, 115], \"label\": \"bullet hole\"},\n {\"box_2d\": [206, 12, 240, 44], \"label\": \"bullet hole\"},\n {\"box_2d\": [23, 35, 51, 69], \"label\": \"bullet hole\"},\n {\"box_2d\": [66, 152, 98, 181], \"label\": \"bullet hole\"},\n {\"box_2d\": [338, 761, 374, 795], \"label\": \"bullet hole\"},\n {\"box_2d\": [430, 619, 462, 655], \"label\": \"bullet hole\"},\n {\"box_2d\": [547, 798, 579, 829], \"label\": \"bullet hole\"},\n {\"box_2d\": [585, 672, 623, 705], \"label\": \"bullet hole\"},\n {\"box_2d\": [734, 646, 766, 678], \"label\": \"bullet hole\"},\n {\"box_2d\": [794, 760, 826, 790], \"label\": \"bullet hole\"},\n {\"box_2d\": [709, 315, 740, 349], \"label\": \"bullet hole\"},\n {\"box_2d\": [709, 150, 743, 182], \"label\": \"bullet hole\"},\n {\"box_2d\": [809, 320, 842, 353], \"label\": \"bullet hole\"},\n {\"box_2d\": [826, 182, 858, 215], \"label\": \"bullet hole\"},\n {\"box_2d\": [811, 108, 845, 139], \"label\": \"bullet hole\"},\n {\"box_2d\": [917, 175, 949, 206], \"label\": \"bullet hole\"},\n {\"box_2d\": [398, 985, 430, 1000], \"label\": \"bullet hole\"}\n]\n```", "correct": false, "input_tokens": 1222, "output_tokens": 1183, "elapsed_seconds": 12.216628749971278, "metadata": {"match_method": "map", "num_predictions": 34, "num_ground_truth": 34, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6736907362937927, "attempts": 1, "retries": 0, "total_seconds": 12.2342}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 129, "image": "9999942_00000_d_0000179_jpg.rf.00eabf74c1cd10c40aa228a466f9fe04.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [721, 256, 745, 274], \"label\": \"person\"},\n {\"box_2d\": [652, 111, 709, 177], \"label\": \"car\"},\n {\"box_2d\": [612, 129, 661, 199], \"label\": \"car\"},\n {\"box_2d\": [364, 56, 417, 99], \"label\": \"car\"},\n {\"box_2d\": [357, 16, 411, 59], \"label\": \"car\"},\n {\"box_2d\": [344, 0, 393, 21], \"label\": \"car\"},\n {\"box_2d\": [336, 139, 391, 169], \"label\": \"van\"},\n {\"box_2d\": [330, 189, 381, 223], \"label\": \"car\"},\n {\"box_2d\": [334, 249, 370, 299], \"label\": \"van\"},\n {\"box_2d\": [298, 276, 329, 324], \"label\": \"car\"},\n {\"box_2d\": [298, 379, 329, 424], \"label\": \"car\"},\n {\"box_2d\": [375, 372, 408, 421], \"label\": \"car\"},\n {\"box_2d\": [433, 355, 469, 407], \"label\": \"car\"},\n {\"box_2d\": [464, 345, 503, 399], \"label\": \"car\"},\n {\"box_2d\": [306, 681, 340, 719], \"label\": \"car\"},\n {\"box_2d\": [457, 771, 479, 783], \"label\": \"person\"},\n {\"box_2d\": [329, 969, 367, 995], \"label\": \"car\"},\n {\"box_2d\": [175, 833, 273, 876], \"label\": \"bus\"},\n {\"box_2d\": [250, 811, 269, 819], \"label\": \"person\"},\n {\"box_2d\": [113, 976, 148, 1000], \"label\": \"van\"},\n {\"box_2d\": [121, 954, 136, 963], \"label\": \"person\"},\n {\"box_2d\": [46, 913, 68, 927], \"label\": \"car\"},\n {\"box_2d\": [54, 880, 70, 886], \"label\": \"person\"},\n {\"box_2d\": [41, 764, 100, 785], \"label\": \"bus\"},\n {\"box_2d\": [80, 395, 103, 423], \"label\": \"car\"},\n {\"box_2d\": [75, 938, 129, 967], \"label\": \"truck\"}\n]\n```", "correct": false, "input_tokens": 1217, "output_tokens": 883, "elapsed_seconds": 34.616131125018, "metadata": {"match_method": "map", "num_predictions": 26, "num_ground_truth": 36, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.4352501928806305, "attempts": 1, "retries": 0, "total_seconds": 34.7206}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 130, "image": "125_jpg.rf.c69f3d1b75a33297315d1889af6311e9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [504, 151, 632, 186], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [349, 267, 391, 306], \"label\": \"resistor symbol\"},\n {\"box_2d\": [523, 372, 686, 393], \"label\": \"resistor symbol\"},\n {\"box_2d\": [345, 463, 384, 511], \"label\": \"resistor symbol\"},\n {\"box_2d\": [550, 634, 717, 656], \"label\": \"resistor symbol\"},\n {\"box_2d\": [143, 734, 248, 784], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [357, 720, 403, 774], \"label\": \"resistor symbol\"},\n {\"box_2d\": [512, 839, 643, 860], \"label\": \"resistor symbol\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 302, "elapsed_seconds": 5.411008832976222, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 5.419}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 131, "image": "IMG_20250815_164311_jpg.rf.83efd32a603d001fd15e3979d744bb04.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [553, 185, 616, 260], \"label\": \"barcode\"},\n {\"box_2d\": [627, 695, 697, 771], \"label\": \"barcode\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 80, "elapsed_seconds": 57.26309279096313, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 57.7525}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 132, "image": "Container-259_jpg.rf.0707fcc208504e8c70d360815ec87ed2.jpg", "expected": "", "predicted": "```json\n[{\"box_2d\": [237, 580, 294, 728], \"label\": \"shipping container number\"},\n{\"box_2d\": [288, 581, 319, 636], \"label\": \"container ISO type code\"}]```", "correct": true, "input_tokens": 1232, "output_tokens": 78, "elapsed_seconds": 3.908773750066757, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 3.9244}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 133, "image": "1704195139360_jpg.rf.325f2c91dbc2bf8869d0a95b29652b2f.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [748, 742, 792, 794], \"label\": \"lentil grain\"},\n {\"box_2d\": [797, 434, 834, 480], \"label\": \"lentil grain\"},\n {\"box_2d\": [631, 534, 672, 576], \"label\": \"lentil grain\"},\n {\"box_2d\": [614, 616, 653, 661], \"label\": \"lentil grain\"},\n {\"box_2d\": [553, 433, 592, 475], \"label\": \"lentil grain\"},\n {\"box_2d\": [412, 250, 455, 297], \"label\": \"lentil grain\"},\n {\"box_2d\": [206, 436, 250, 483], \"label\": \"lentil grain\"},\n {\"box_2d\": [117, 734, 159, 783], \"label\": \"lentil grain\"},\n {\"box_2d\": [336, 562, 375, 606], \"label\": \"lentil grain\"},\n {\"box_2d\": [470, 614, 509, 653], \"label\": \"lentil grain\"},\n {\"box_2d\": [533, 861, 575, 909], \"label\": \"lentil grain\"},\n {\"box_2d\": [308, 750, 347, 791], \"label\": \"lentil grain\"},\n {\"box_2d\": [303, 822, 339, 867], \"label\": \"lentil grain\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 480, "elapsed_seconds": 6.094666999997571, "metadata": {"match_method": "map", "num_predictions": 13, "num_ground_truth": 13, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 6.1106}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 134, "image": "IMG_20250815_165037_jpg.rf.d4afcf541c2eaa2a500b0fc3e74f380a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [760, 823,, 796, 859], \"label\": \"barcode\"},\n {\"box_2d\": [804, 665,, 890, 706], \"label\": \"barcode\"},\n {\"box_2d\": [797, 220,, 888, 267], \"label\": \"barcode\"},\n {\"box_2d\": [123, 265,, 214, 311], \"label\": \"barcode\"},\n {\"box_2d\": [809, 430,, 899, 474], \"label\": \"barcode\"},\n {\"box_2d\": [304, 427,, 342, 471], \"label\": \"barcode\"},\n {\"box_2d\": [274, 566,, 310, 608], \"label\": \"barcode\"},\n {\"box_2d\": [280, 843,, 360, 881], \"label\": \"barcode\"}\n]\n```", "correct": false, "input_tokens": 1214, "output_tokens": 292, "elapsed_seconds": 48.62584070803132, "metadata": {"match_method": "map", "num_predictions": 0, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 49.0414}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 135, "image": "frame_0213_jpg.rf.a492e6ad2bcd535fad151a853f122d53.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [77, 127, 138, 165], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [88, 253, 145, 290], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [173, 232, 232, 272], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [427, 234, 493, 273], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [635, 241, 703, 282], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [737, 349, 821, 394], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [624, 362, 695, 405], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [535, 365, 610, 404], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [710, 452, 788, 494], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [834, 470, 912, 511], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [678, 549, 746, 611], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [558, 562, 626, 603], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [421, 466, 482, 503], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [419, 547, 482, 582], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [273, 443, 333, 475], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [166, 349, 227, 384], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [191, 456, 242, 488], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [52, 412, 108, 449], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [108, 554, 166, 587], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [211, 546, 269, 580], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [285, 546, 339, 579], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [65, 620, 117, 651], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [545, 669, 608, 707], \"label\": \"garlic on conveyor\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 836, "elapsed_seconds": 45.546318707987666, "metadata": {"match_method": "map", "num_predictions": 23, "num_ground_truth": 23, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 45.6809}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 136, "image": "1668147836__jpg.rf.c1a720811dddd913a56ced8dd87e3a53.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [52, 362, 111, 389], \"label\": \"three die\"},\n {\"box_2d\": [46, 714, 108, 745], \"label\": \"five die\"},\n {\"box_2d\": [214, 742, 274, 773], \"label\": \"three die\"},\n {\"box_2d\": [261, 565, 325, 598], \"label\": \"five die\"},\n {\"box_2d\": [315, 526, 379, 560], \"label\": \"five die\"},\n {\"box_2d\": [341, 480, 396, 509], \"label\": \"six die\"},\n {\"box_2d\": [233, 410, 290, 437], \"label\": \"two die\"},\n {\"box_2d\": [274, 283, 330, 311], \"label\": \"four die\"},\n {\"box_2d\": [244, 141, 309, 177], \"label\": \"four die\"},\n {\"box_2d\": [246, 179, 301, 207], \"label\": \"one die\"},\n {\"box_2d\": [404, 350, 455, 377], \"label\": \"four die\"},\n {\"box_2d\": [428, 379, 487, 411], \"label\": \"five die\"},\n {\"box_2d\": [461, 315, 525, 349], \"label\": \"four die\"},\n {\"box_2d\": [494, 148, 553, 181], \"label\": \"five die\"},\n {\"box_2d\": [525, 274, 578, 303], \"label\": \"five die\"},\n {\"box_2d\": [566, 283, 624, 316], \"label\": \"five die\"},\n {\"box_2d\": [583, 350, 635, 378], \"label\": \"five die\"},\n {\"box_2d\": [661, 274, 715, 306], \"label\": \"four die\"},\n {\"box_2d\": [618, 138, 680, 174], \"label\": \"five die\"},\n {\"box_2d\": [647, 190, 705, 223], \"label\": \"six die\"},\n {\"box_2d\": [759, 183, 819, 217], \"label\": \"four die\"},\n {\"box_2d\": [726, 210, 786, 245], \"label\": \"five die\"},\n {\"box_2d\": [734, 244, 788, 274], \"label\": \"two die\"},\n {\"box_2d\": [712, 277, 761, 305], \"label\": \"six die\"},\n {\"box_2d\": [758, 271, 810, 301], \"label\": \"four die\"},\n {\"box_2d\": [811, 241, 870, 274], \"label\": \"six die\"},\n {\"box_2d\": [786, 300, 840, 330], \"label\": \"five die\"},\n {\"box_2d\": [895, 404, 956, 437], \"label\": \"one die\"},\n {\"box_2d\": [634, 436, 697, 470], \"label\": \"four die\"},\n {\"box_2d\": [734, 463, 792, 494], \"label\": \"four die\"},\n {\"box_2d\": [697, 509, 750, 537], \"label\": \"six die\"},\n {\"box_2d\": [604, 568, 658, 597], \"label\": \"five die\"},\n {\"box_2d\": [537, 628, 590, 656], \"label\": \"four die\"},\n {\"box_2d\": [532, 458, 596, 492], \"label\": \"four die\"},\n {\"box_2d\": [468, 567, 525, 597], \"label\": \"three die\"},\n {\"box_2d\": [399, 569, 458, 601], \"label\": \"one die\"},\n {\"box_2d\": [344, 564, 398, 592], \"label\": \"three die\"},\n {\"box_2d\": [372, 657, 426, 685], \"label\": \"one die\"},\n {\"box_2d\": [341, 731, 406, 767], \"label\": \"three die\"},\n {\"box_2d\": [429, 799, 485, 830], \"label\": \"six die\"},\n {\"box_2d\": [434, 828, 496, 860], \"label\": \"three die\"},\n {\"box_2d\": [547, 848, 607, 882], \"label\": \"one die\"},\n {\"box_2d\": [558, 902, 621, 937], \"label\": \"one die\"},\n {\"box_2d\": [642, 760, 694, 789], \"label\": \"six die\"},\n {\"box_2d\": [750, 717, 811, 752], \"label\": \"three die\"},\n {\"box_2d\": [756, 792, 815, 826], \"label\": \"six die\"},\n {\"box_2d\": [723, 826, 780, 858], \"label\": \"four die\"},\n {\"box_2d\": [800, 824, 854, 854], \"label\": \"one die\"},\n {\"box_2d\": [805, 909, 859, 941], \"label\": \"two die\"},\n {\"box_2d\": [913, 777, 962, 806], \"label\": \"one die\"}\n]\n```", "correct": false, "input_tokens": 1252, "output_tokens": 1760, "elapsed_seconds": 21.309716916061006, "metadata": {"match_method": "map", "num_predictions": 50, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.599210262298584, "attempts": 1, "retries": 0, "total_seconds": 21.3708}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 137, "image": "Lego_170_high_jpeg.rf.173b945a080a292465fe84cab83086af.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [749, 498,, 847, 567], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [590, 320,, 666, 429], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [544, 346,, 623, 458], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [618, 417,, 688, 502], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [694, 474,, 756, 578], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [633, 103,, 695, 195], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [694, 281,, 764, 384], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [644, 219,, 744, 289], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [649, 253,, 723, 344], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [715, 423,, 801, 500], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [517, 257,, 591, 362], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [471, 391,, 555, 481], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [470, 465,, 565, 545], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [395, 378,, 491, 426], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [379, 426,, 451, 526], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [330, 296,, 377, 400], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [390, 102,, 477, 199], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [364, 36,,, 444, 138], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [252, 155,, 314, 265], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [194, 151,, 269, 255], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [196, 85,,, 282, 185], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [114, 95,,, 217, 208], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [84, 238,, 154, 344], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [150, 307,, 205, 394], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [224, 498,, 330, 600], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [260, 577,, 344, 653], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [334, 753,, 409, 837], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [407, 770,, 487, 831], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [482, 710,, 581, 767], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [534, 756,, 639, 825], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [583, 929,, 665, 991], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [700, 896,, 785, 960], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [733, 826,, 809, 892], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [669, 825,, 742, 906], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [667, 782,, 766, 833], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [709, 699,, 796, 779], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [804, 815,, 885, 898], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [849, 796,, 930, 881], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [117, 735,, 174, 831], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [118, 878,, 162, 973], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [175, 813,, 269, 917], \"label\": \"lego 4x2 brick\"}\n]\n```", "correct": false, "input_tokens": 1244, "output_tokens": 1651, "elapsed_seconds": 21.084707958973013, "metadata": {"match_method": "map", "num_predictions": 0, "num_ground_truth": 42, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 21.1834}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 138, "image": "DJI_0290_JPG_jpg.rf.052c45a410708d5965bfee1fe9dd1918.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [489, 371, 588, 483], \"label\": \"excavator\"},\n {\"box_2d\": [290, 417, 360, 487], \"label\": \"concrete mixer\"},\n {\"box_2d\": [199, 303, 246, 346], \"label\": \"dump truck\"},\n {\"box_2d\": [134, 219, 174, 250], \"label\": \"concrete mixer\"},\n {\"box_2d\": [447, 837, 528, 932], \"label\": \"dump truck\"},\n {\"box_2d\": [57, 1, 999, 146], \"label\": \"tower crane\"},\n {\"box_2d\": [321, 195, 366, 245], \"label\": \"excavator\"}\n]\n```", "correct": true, "input_tokens": 1209, "output_tokens": 256, "elapsed_seconds": 267.3347392498981, "metadata": {"match_method": "map", "num_predictions": 7, "num_ground_truth": 6, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 268.5439}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 139, "image": "oil-tank-detection_oiltank_165_jpg.rf.7a5e38aa38fc11f1234038d454ec044d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [584, 15, 709, 118], \"label\": \"oil tank\"},\n {\"box_2d\": [579, 134, 709, 237], \"label\": \"oil tank\"},\n {\"box_2d\": [575, 250, 707, 353], \"label\": \"oil tank\"},\n {\"box_2d\": [556, 366, 695, 480], \"label\": \"oil tank\"},\n {\"box_2d\": [554, 491, 697, 608], \"label\": \"oil tank\"},\n {\"box_2d\": [551, 617, 694, 734], \"label\": \"oil tank\"},\n {\"box_2d\": [546, 745, 686, 864], \"label\": \"oil tank\"},\n {\"box_2d\": [721, 16, 853, 120], \"label\": \"oil tank\"},\n {\"box_2d\": [718, 132, 851, 238], \"label\": \"oil tank\"},\n {\"box_2d\": [713, 250, 845, 355], \"label\": \"oil tank\"},\n {\"box_2d\": [713, 364, 858, 485], \"label\": \"oil tank\"},\n {\"box_2d\": [709, 494, 856, 613], \"label\": \"oil tank\"},\n {\"box_2d\": [704, 623, 851, 741], \"label\": \"oil tank\"},\n {\"box_2d\": [699, 751, 848, 869], \"label\": \"oil tank\"}\n]\n```", "correct": true, "input_tokens": 1217, "output_tokens": 500, "elapsed_seconds": 12.312221125001088, "metadata": {"match_method": "map", "num_predictions": 14, "num_ground_truth": 14, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 12.3874}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 140, "image": "img268_png.rf.77932c9124f7e63f288e2be4179d983b.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [77, 250, 117, 300], \"label\": \"not gate symbol\"},\n {\"box_2d\": [151, 411, 189, 461], \"label\": \"not gate symbol\"},\n {\"box_2d\": [274, 411, 314, 461], \"label\": \"not gate symbol\"},\n {\"box_2d\": [468, 567, 508, 617], \"label\": \"not gate symbol\"},\n {\"box_2d\": [546, 250, 586, 300], \"label\": \"not gate symbol\"},\n {\"box_2d\": [619, 250, 659, 300], \"label\": \"not gate symbol\"},\n {\"box_2d\": [715, 411, 755, 461], \"label\": \"not gate symbol\"},\n {\"box_2d\": [843, 411, 882, 461], \"label\": \"not gate symbol\"},\n {\"box_2d\": [32, 388, 114, 459], \"label\": \"and gate symbol\"},\n {\"box_2d\": [81, 546, 163, 617], \"label\": \"and gate symbol\"},\n {\"box_2d\": [228, 546, 310, 617], \"label\": \"and gate symbol\"},\n {\"box_2d\": [354, 546, 434, 617], \"label\": \"and gate symbol\"},\n {\"box_2d\": [399, 704, 481, 775], \"label\": \"and gate symbol\"},\n {\"box_2d\": [552, 388, 634, 459], \"label\": \"and gate symbol\"},\n {\"box_2d\": [598, 546, 680, 617], \"label\": \"and gate symbol\"},\n {\"box_2d\": [723, 546, 804, 617], \"label\": \"and gate symbol\"},\n {\"box_2d\": [845, 546, 927, 617], \"label\": \"and gate symbol\"},\n {\"box_2d\": [875, 704, 956, 775], \"label\": \"and gate symbol\"},\n {\"box_2d\": [155, 701, 237, 775], \"label\": \"or gate symbol\"},\n {\"box_2d\": [278, 860, 359, 933], \"label\": \"or gate symbol\"},\n {\"box_2d\": [650, 701, 731, 775], \"label\": \"or gate symbol\"},\n {\"box_2d\": [748, 860, 829, 933], \"label\": \"or gate symbol\"}\n]\n```", "correct": true, "input_tokens": 1231, "output_tokens": 801, "elapsed_seconds": 8.04810241702944, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 8.0642}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 141, "image": "170211-2-h_JPG_jpg.rf.4b0d2b71f289bdb00cd0502c7a7a2a5d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [248, 464, 926, 567], \"label\": \"insulator flashover\"}\n]\n```", "correct": false, "input_tokens": 1218, "output_tokens": 49, "elapsed_seconds": 182.94541441707406, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 183.6322}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 142, "image": "floorplan-windows-doors_10361_png.rf.0282a156e3e18e32c9b31eca83a8df92.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [729, 591, 792, 658], \"label\": \"door\"},\n {\"box_2d\": [548, 725, 603, 785], \"label\": \"door\"},\n {\"box_2d\": [482, 591, 538, 654], \"label\": \"door\"},\n {\"box_2d\": [613, 476, 669, 539], \"label\": \"door\"},\n {\"box_2d\": [549, 475, 604, 540], \"label\": \"door\"},\n {\"box_2d\": [357, 703, 412, 767], \"label\": \"door\"},\n {\"box_2d\": [291, 773, 342, 825], \"label\": \"door\"},\n {\"box_2d\": [151, 774, 207, 821], \"label\": \"door\"},\n {\"box_2d\": [92, 121, 152, 189], \"label\": \"door\"},\n {\"box_2d\": [869, 590, 941, 659], \"label\": \"door\"},\n {\"box_2d\": [868, 776, 892, 886], \"label\": \"window\"},\n {\"box_2d\": [867, 290, 890, 398], \"label\": \"window\"},\n {\"box_2d\": [635, 173, 738, 198], \"label\": \"window\"},\n {\"box_2d\": [433, 174, 537, 198], \"label\": \"window\"},\n {\"box_2d\": [311, 174, 414, 198], \"label\": \"window\"},\n {\"box_2d\": [188, 174, 290, 198], \"label\": \"window\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 555, "elapsed_seconds": 53.54522474994883, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 53.6359}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 143, "image": "IMG_0588_jpeg.rf.ff3a785b0ac1ba5a56ab8eed6ca615a1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [32, 571, 95, 646], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [376, 482, 476, 534], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [248, 549, 315, 628], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [237, 742, 317, 818], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [439, 630, 513, 704], \"label\": \"caramel corn jelly bean\"},\n {\"box_2d\": [619, 553, 720, 603], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [631, 735, 737, 785], \"label\": \"mixed berry smoothie jelly bean\"}\n]\n```", "correct": true, "input_tokens": 1219, "output_tokens": 274, "elapsed_seconds": 83.75813337496947, "metadata": {"match_method": "map", "num_predictions": 7, "num_ground_truth": 7, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 83.8054}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 144, "image": "signatures_image_100_png_jpg.rf.1b732e075f2453b4400e76d3923fe526.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [587, 108, 639, 427], \"label\": \"signature\"},\n {\"box_2d\": [463, 127, 543, 444], \"label\": \"signature\"},\n {\"box_2d\": [451, 556, 514, 820], \"label\": \"signature\"},\n {\"box_2d\": [323, 73, 396, 434], \"label\": \"signature\"},\n {\"box_2d\": [344, 526, 389, 891], \"label\": \"signature\"}\n]\n```", "correct": true, "input_tokens": 1200, "output_tokens": 181, "elapsed_seconds": 5.191852750023827, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 5.2055}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 145, "image": "paper-parts_8548_70_jpg.rf.61a39e9181e5ebef57cae728c932b730.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [92, 188, 396, 829], \"label\": \"figure\"},\n {\"box_2d\": [400, 117, 430, 882], \"label\": \"figure caption\"},\n {\"box_2d\": [482, 117, 512, 882], \"label\": \"table caption\"},\n {\"box_2d\": [529, 107, 583, 892], \"label\": \"table\"},\n {\"box_2d\": [633, 118, 654, 312], \"label\": \"subsection\"},\n {\"box_2d\": [674, 117, 723, 882], \"label\": \"paragraph\"},\n {\"box_2d\": [742, 305, 761, 882], \"label\": \"equation\"},\n {\"box_2d\": [779, 118, 880, 882], \"label\": \"paragraph\"},\n {\"box_2d\": [901, 490, 913, 509], \"label\": \"page number\"}\n]\n```", "correct": true, "input_tokens": 1255, "output_tokens": 320, "elapsed_seconds": 7.917243459029123, "metadata": {"match_method": "map", "num_predictions": 9, "num_ground_truth": 9, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8749998807907104, "attempts": 1, "retries": 0, "total_seconds": 7.9752}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 146, "image": "19_jpeg_jpg.rf.34c89435b5ff9122cacb0cab18a49f99.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [32, 19, 129, 105], \"label\": \"potato\"},\n {\"box_2d\": [11, 331, 95, 428], \"label\": \"potato\"},\n {\"box_2d\": [219, 0, 313, 83], \"label\": \"potato\"},\n {\"box_2d\": [185, 277, 297, 356], \"label\": \"potato\"},\n {\"box_2d\": [187, 395, 293, 478], \"label\": \"potato\"},\n {\"box_2d\": [401, 64, 500, 152], \"label\": \"potato\"},\n {\"box_2d\": [403, 326, 507, 414], \"label\": \"potato\"},\n {\"box_2d\": [396, 487, 513, 569], \"label\": \"potato\"},\n {\"box_2d\": [194, 548, 306, 665], \"label\": \"potato\"},\n {\"box_2d\": [23, 783, 133, 895], \"label\": \"potato\"},\n {\"box_2d\": [218, 790, 320, 902], \"label\": \"potato\"},\n {\"box_2d\": [394, 709, 525, 794], \"label\": \"potato\"},\n {\"box_2d\": [603, 58, 710, 177], \"label\": \"potato\"},\n {\"box_2d\": [790, 34, 901, 143], \"label\": \"potato\"},\n {\"box_2d\": [827, 485, 932, 582], \"label\": \"potato\"},\n {\"box_2d\": [608, 780, 716, 866], \"label\": \"potato\"},\n {\"box_2d\": [845, 934, 950, 999], \"label\": \"potato\"},\n {\"box_2d\": [356, 980, 502, 1000], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1240, "output_tokens": 614, "elapsed_seconds": 6.976201291079633, "metadata": {"match_method": "map", "num_predictions": 18, "num_ground_truth": 18, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9405940771102905, "attempts": 1, "retries": 0, "total_seconds": 7.019}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 147, "image": "f12_jpg.rf.fa104f4d104f326761c5485949eec7bb.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [723, 86, 940, 419], \"label\": \"wildfire\"},\n {\"box_2d\": [298, 598, 558, 795], \"label\": \"wildfire\"},\n {\"box_2d\": [320, 232, 608, 381], \"label\": \"wildfire\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 116, "elapsed_seconds": 16.50816366705112, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 16.6322}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 148, "image": "f36_jpg.rf.8c77ed13627d4f4c8abf32c1c7573442.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 62, 588, 307], \"label\": \"wildfire\"},\n {\"box_2d\": [0, 703, 412, 839], \"label\": \"wildfire\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 77, "elapsed_seconds": 65.38992408302147, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 65.5112}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 149, "image": "46_jpg.rf.ed53b85cf8112394121da4a88ce9efc4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [572, 148, 725, 213], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [529, 300, 651, 323], \"label\": \"resistor symbol\"},\n {\"box_2d\": [375, 376, 428, 441], \"label\": \"resistor symbol\"},\n {\"box_2d\": [171, 471, 300, 531], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [381, 560, 441, 639], \"label\": \"resistor symbol\"},\n {\"box_2d\": [572, 464, 718, 520], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [540, 670, 687, 695], \"label\": \"resistor symbol\"},\n {\"box_2d\": [603, 808, 731, 860], \"label\": \"dc current source symbol\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 304, "elapsed_seconds": 30.83332325005904, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 30.9348}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 150, "image": "Lego_131_low_jpeg.rf.be14ef4b77b52f77c1ed45c59ee5b3a4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [746, 595, 833, 678], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [788, 424, 865, 513], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [681, 440, 767, 526], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [713, 386, 794, 469], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [596, 369, 661, 456], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [517, 331, 597, 405], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [273, 506, 354, 596], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [150, 622, 237, 695], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [65, 616, 154, 694], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [532, 815, 601, 896], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [814, 731, 881, 825], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [689, 913, 785, 999], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [457, 945, 545, 999], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [351, 686, 449, 745], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [251, 651, 326, 745], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [449, 526, 494, 627], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [0, 728, 70, 795], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [144, 145, 217, 250], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [248, 229, 336, 315], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [373, 266, 468, 331], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [513, 159, 598, 261], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [635, 190, 703, 297], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [699, 171, 767, 277], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [812, 261, 906, 372], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [755, 786, 862, 881], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [441, 801, 541, 891], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [468, 746, 569, 831], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [372, 728, 476, 807], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [183, 930, 286, 987], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [42, 439, 138, 550], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [123, 275, 211, 391], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [188, 32, 287, 147], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [224, 309, 306, 424], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [437, 280, 538, 357], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [659, 341, 719, 449], \"label\": \"lego 4x2 brick\"}\n]\n```", "correct": true, "input_tokens": 1244, "output_tokens": 1371, "elapsed_seconds": 27.165401667007245, "metadata": {"match_method": "map", "num_predictions": 35, "num_ground_truth": 35, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8863289952278137, "attempts": 1, "retries": 0, "total_seconds": 27.256}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 151, "image": "IMG_6677_jpeg_jpg.rf.66bd4292eb85ae8da61a8cef3e3384f8.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [540, 52, 609, 250], \"label\": \"green poker chip\"},\n {\"box_2d\": [533, 55, 591, 249], \"label\": \"green poker chip\"},\n {\"box_2d\": [512, 57, 573, 251], \"label\": \"green poker chip\"},\n {\"box_2d\": [501, 52, 558, 251], \"label\": \"green poker chip\"},\n {\"box_2d\": [482, 54, 542, 253], \"label\": \"green poker chip\"},\n {\"box_2d\": [466, 51, 522, 251], \"label\": \"green poker chip\"},\n {\"box_2d\": [454, 51, 506, 254], \"label\": \"green poker chip\"},\n {\"box_2d\": [427, 52, 493, 259], \"label\": \"green poker chip\"},\n {\"box_2d\": [408, 46, 476, 256], \"label\": \"green poker chip\"},\n {\"box_2d\": [374, 30, 460, 243], \"label\": \"green poker chip\"},\n {\"box_2d\": [530, 311, 606, 491], \"label\": \"orange poker chip\"},\n {\"box_2d\": [530, 301, 588, 484], \"label\": \"orange poker chip\"},\n {\"box_2d\": [518, 298, 576, 482], \"label\": \"orange poker chip\"},\n {\"box_2d\": [499, 296, 558, 484], \"label\": \"orange poker chip\"},\n {\"box_2d\": [490, 299, 543, 484], \"label\": \"orange poker chip\"},\n {\"box_2d\": [467, 298, 525, 488], \"label\": \"orange poker chip\"},\n {\"box_2d\": [454, 296, 507, 488], \"label\": \"orange poker chip\"},\n {\"box_2d\": [438, 298, 491, 490], \"label\": \"orange poker chip\"},\n {\"box_2d\": [423, 296, 475, 490], \"label\": \"orange poker chip\"},\n {\"box_2d\": [371, 292, 455, 488], \"label\": \"orange poker chip\"},\n {\"box_2d\": [530, 522, 613, 713], \"label\": \"orange poker chip\"},\n {\"box_2d\": [501, 524, 579, 708], \"label\": \"orange poker chip\"},\n {\"box_2d\": [463, 533, 560, 717], \"label\": \"orange poker chip\"},\n {\"box_2d\": [525, 728, 601, 932], \"label\": \"green poker chip\"},\n {\"box_2d\": [503, 719, 580, 920], \"label\": \"green poker chip\"},\n {\"box_2d\": [451, 708, 542, 899], \"label\": \"green poker chip\"}\n]\n```", "correct": true, "input_tokens": 1231, "output_tokens": 938, "elapsed_seconds": 15.179045500000939, "metadata": {"match_method": "map", "num_predictions": 26, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 15.2041}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 152, "image": "indir-1-_jpeg_jpg.rf.8d614705afcf35f2ac222aa7d9e608ff.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [777, 700, 785, 718], \"label\": \"dimension annotation\"},\n {\"box_2d\": [667, 336, 699, 535], \"label\": \"dimension annotation\"},\n {\"box_2d\": [562, 158, 646, 306], \"label\": \"dimension annotation\"},\n {\"box_2d\": [610, 653, 661, 749], \"label\": \"dimension annotation\"},\n {\"box_2d\": [447, 628, 502, 726], \"label\": \"dimension annotation\"},\n {\"box_2d\": [427, 154, 513, 286], \"label\": \"dimension annotation\"},\n {\"box_2d\": [725, 597, 757, 761], \"label\": \"dimension annotation\"},\n {\"box_2d\": [725, 598, 825, 808], \"label\": \"dimension annotation\"},\n {\"box_2d\": [767, 610, 795, 676], \"label\": \"dimension annotation\"},\n {\"box_2d\": [797, 687, 823, 759], \"label\": \"dimension annotation\"},\n {\"box_2d\": [823, 625, 868, 752], \"label\": \"dimension annotation\"},\n {\"box_2d\": [825, 315, 868, 424], \"label\": \"dimension annotation\"},\n {\"box_2d\": [759, 137, 800, 193], \"label\": \"dimension annotation\"},\n {\"box_2d\": [750, 198, 793, 273], \"label\": \"dimension annotation\"},\n {\"box_2d\": [914, 207, 984, 976], \"label\": \"technical drawing table\"}\n]\n```", "correct": false, "input_tokens": 1233, "output_tokens": 538, "elapsed_seconds": 7.5015224169474095, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5396038889884949, "attempts": 1, "retries": 0, "total_seconds": 7.5184}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 153, "image": "1217_4_jpg.rf.834d702ab7cd425111d5c60612f66627.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [771, 16, 845, 95], \"label\": \"white pawn\"},\n {\"box_2d\": [771, 159, 846, 232], \"label\": \"white pawn\"},\n {\"box_2d\": [765, 277, 838, 350], \"label\": \"white pawn\"},\n {\"box_2d\": [769, 397, 843, 469], \"label\": \"white pawn\"},\n {\"box_2d\": [759, 498, 831, 569], \"label\": \"white pawn\"},\n {\"box_2d\": [772, 652, 846, 725], \"label\": \"white pawn\"},\n {\"box_2d\": [757, 773, 830, 847], \"label\": \"white pawn\"},\n {\"box_2d\": [755, 876, 829, 957], \"label\": \"white pawn\"},\n {\"box_2d\": [881, 13, 980, 108], \"label\": \"white rook\"},\n {\"box_2d\": [888, 122, 987, 233], \"label\": \"white knight\"},\n {\"box_2d\": [886, 276, 991, 366], \"label\": \"white bishop\"},\n {\"box_2d\": [871, 389, 996, 479], \"label\": \"white king\"},\n {\"box_2d\": [878, 514, 999, 602], \"label\": \"white queen\"},\n {\"box_2d\": [874, 634, 976, 725], \"label\": \"white bishop\"},\n {\"box_2d\": [891, 763, 982, 868], \"label\": \"white knight\"},\n {\"box_2d\": [876, 886, 975, 990], \"label\": \"white rook\"},\n {\"box_2d\": [161, 35, 234, 113], \"label\": \"black pawn\"},\n {\"box_2d\": [161, 180, 234, 252], \"label\": \"black pawn\"},\n {\"box_2d\": [159, 285, 231, 356], \"label\": \"black pawn\"},\n {\"box_2d\": [173, 412, 244, 482], \"label\": \"black pawn\"},\n {\"box_2d\": [169, 545, 241, 616], \"label\": \"black pawn\"},\n {\"box_2d\": [165, 651, 238, 722], \"label\": \"black pawn\"},\n {\"box_2d\": [161, 763, 234, 836], \"label\": \"black pawn\"},\n {\"box_2d\": [150, 891, 223, 973], \"label\": \"black pawn\"},\n {\"box_2d\": [7, 37, 107, 131], \"label\": \"black rook\"},\n {\"box_2d\": [26, 132, 119, 241], \"label\": \"black knight\"},\n {\"box_2d\": [16, 284, 117, 374], \"label\": \"black bishop\"},\n {\"box_2d\": [0, 405, 121, 493], \"label\": \"black king\"},\n {\"box_2d\": [0, 526, 120, 613], \"label\": \"black queen\"},\n {\"box_2d\": [27, 655, 128, 745], \"label\": \"black bishop\"},\n {\"box_2d\": [5, 769, 113, 880], \"label\": \"black knight\"},\n {\"box_2d\": [16, 897, 114, 1000], \"label\": \"black rook\"}\n]\n```", "correct": true, "input_tokens": 1259, "output_tokens": 1116, "elapsed_seconds": 41.05377266695723, "metadata": {"match_method": "map", "num_predictions": 32, "num_ground_truth": 32, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 41.3275}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 154, "image": "123_jpg.rf.dd57cefde1b1d657a6704903a0c29594.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [171, 322, 199, 376], \"label\": \"resistor symbol\"},\n {\"box_2d\": [166, 623, 190, 686], \"label\": \"resistor symbol\"},\n {\"box_2d\": [275, 209, 348, 242], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [268, 441, 336, 474], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [232, 807, 320, 848], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [457, 326, 486, 379], \"label\": \"resistor symbol\"},\n {\"box_2d\": [450, 656, 479, 704], \"label\": \"resistor symbol\"},\n {\"box_2d\": [618, 217, 682, 236], \"label\": \"resistor symbol\"},\n {\"box_2d\": [640, 448, 720, 491], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [595, 834, 661, 851], \"label\": \"resistor symbol\"},\n {\"box_2d\": [820, 314, 903, 358], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [832, 621, 855, 678], \"label\": \"resistor symbol\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 449, "elapsed_seconds": 8.515940041048452, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9372937083244324, "attempts": 1, "retries": 0, "total_seconds": 8.5276}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 155, "image": "Container_799_jpg.rf.18c1df3db98a6063d7285fb7c0ffd780.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [227, 805, 260, 945], \"label\": \"shipping container number\"},\n {\"box_2d\": [268, 865, 303, 902], \"label\": \"container ISO type code\"},\n {\"box_2d\": [137, 352, 285, 367], \"label\": \"container ISO type code\"},\n {\"box_2d\": [148, 307, 566, 326], \"label\": \"shipping container number\"}\n]\n```", "correct": true, "input_tokens": 1232, "output_tokens": 158, "elapsed_seconds": 6.362528915982693, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 6.38}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 156, "image": "08fd33_0_1_png_jpg.rf.49b1ec7a3f580266e0267dce06883980.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [461, 147, 504, 158], \"label\": \"goalkeeper\"},\n {\"box_2d\": [416, 250, 452, 261], \"label\": \"player\"},\n {\"box_2d\": [341, 436, 373, 449], \"label\": \"player\"},\n {\"box_2d\": [375, 488, 412, 500], \"label\": \"referee\"},\n {\"box_2d\": [478, 431, 528, 443], \"label\": \"player\"},\n {\"box_2d\": [526, 405, 565, 422], \"label\": \"player\"},\n {\"box_2d\": [439, 491, 479, 504], \"label\": \"player\"},\n {\"box_2d\": [397, 508, 434, 519], \"label\": \"player\"},\n {\"box_2d\": [372, 532, 405, 542], \"label\": \"player\"},\n {\"box_2d\": [401, 606, 439, 616], \"label\": \"player\"},\n {\"box_2d\": [447, 616, 495, 628], \"label\": \"player\"},\n {\"box_2d\": [417, 623, 455, 636], \"label\": \"player\"},\n {\"box_2d\": [371, 629, 404, 642], \"label\": \"player\"},\n {\"box_2d\": [354, 626, 384, 636], \"label\": \"player\"},\n {\"box_2d\": [387, 659, 421, 672], \"label\": \"player\"},\n {\"box_2d\": [419, 646, 459, 658], \"label\": \"player\"},\n {\"box_2d\": [504, 627, 550, 639], \"label\": \"player\"},\n {\"box_2d\": [464, 704, 513, 720], \"label\": \"player\"},\n {\"box_2d\": [600, 680, 654, 695], \"label\": \"player\"},\n {\"box_2d\": [572, 773, 614, 787], \"label\": \"player\"},\n {\"box_2d\": [628, 837, 683, 851], \"label\": \"player\"},\n {\"box_2d\": [644, 825, 703, 842], \"label\": \"referee\"},\n {\"box_2d\": [402, 904, 444, 918], \"label\": \"goalkeeper\"},\n {\"box_2d\": [612, 429, 665, 442], \"label\": \"player\"},\n {\"box_2d\": [301, 326, 328, 336], \"label\": \"referee\"},\n {\"box_2d\": [607, 339, 620, 346], \"label\": \"football\"}\n]\n```", "correct": true, "input_tokens": 1242, "output_tokens": 901, "elapsed_seconds": 19.192653833073564, "metadata": {"match_method": "map", "num_predictions": 26, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 19.3256}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 157, "image": "Lego_122_low_jpeg.rf.ea0402c215977271fc16971fe6cad37a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [77, 192, 155, 309], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [138, 364, 246, 442], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [269, 316, 355, 408], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [349, 321, 444, 384], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [341, 183, 437, 259], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [379, 55, 459, 159], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [509, 136, 597, 252], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [785, 188, 869, 284], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [628, 403, 709, 479], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [709, 389, 813, 479], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [708, 452, 796, 537], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [749, 551, 826, 608], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [553, 538, 640, 626], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [553, 629, 625, 712], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [609, 688, 688, 740], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [339, 472, 444, 553], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [189, 466, 285, 575], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [215, 593, 314, 648], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [101, 652, 210, 747], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [60, 777, 154, 860], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [96, 834, 196, 935], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [334, 748, 437, 828], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [375, 682, 460, 764], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [326, 939, 424, 999], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [600, 914, 675, 964], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [637, 741, 709, 843], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [692, 782, 784, 850], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [678, 828, 763, 931], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [779, 875, 861, 932], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [762, 945, 856, 1000], \"label\": \"lego 4x1 brick\"}\n]\n```", "correct": true, "input_tokens": 1244, "output_tokens": 1179, "elapsed_seconds": 24.41350833303295, "metadata": {"match_method": "map", "num_predictions": 30, "num_ground_truth": 30, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 24.502}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 158, "image": "20230220_110126_jpg.rf.9dd19de1f35f973245770a80a67f5a86.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [468, 39, 493, 128], \"label\": \"crack\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 45, "elapsed_seconds": 3.089030833914876, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 3.1114}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 159, "image": "20230224_102553_jpg.rf.405f8900643fe92cf5dde61e03ca7cd9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [598, 819, 681, 902], \"label\": \"crack\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 46, "elapsed_seconds": 2.9682463330682367, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 2.9904}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 160, "image": "40_jpg.rf.9c5565949caf7c10eef3c765c461dcc3.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [36, 162, 355, 217], \"label\": \"blood sample tube\"},\n {\"box_2d\": [203, 167, 514, 261], \"label\": \"blood sample tube\"},\n {\"box_2d\": [153, 255, 464, 336], \"label\": \"blood sample tube\"},\n {\"box_2d\": [388, 155, 694, 275], \"label\": \"blood sample tube\"},\n {\"box_2d\": [36, 317, 158, 548], \"label\": \"blood sample tube\"},\n {\"box_2d\": [145, 478, 466, 533], \"label\": \"blood sample tube\"},\n {\"box_2d\": [392, 370, 567, 597], \"label\": \"blood sample tube\"},\n {\"box_2d\": [28, 502, 95, 741], \"label\": \"blood sample tube\"},\n {\"box_2d\": [86, 592, 161, 841], \"label\": \"blood sample tube\"},\n {\"box_2d\": [138, 533, 444, 666], \"label\": \"blood sample tube\"},\n {\"box_2d\": [195, 581, 428, 788], \"label\": \"blood sample tube\"},\n {\"box_2d\": [384, 550, 503, 795], \"label\": \"blood sample tube\"},\n {\"box_2d\": [427, 592, 548, 839], \"label\": \"blood sample tube\"},\n {\"box_2d\": [262, 764, 558, 927], \"label\": \"blood sample tube\"},\n {\"box_2d\": [72, 839, 400, 895], \"label\": \"blood sample tube\"},\n {\"box_2d\": [144, 886, 470, 936], \"label\": \"blood sample tube\"},\n {\"box_2d\": [512, 689, 650, 942], \"label\": \"blood sample tube\"},\n {\"box_2d\": [556, 662, 706, 909], \"label\": \"blood sample tube\"},\n {\"box_2d\": [597, 611, 734, 856], \"label\": \"blood sample tube\"},\n {\"box_2d\": [612, 480, 733, 730], \"label\": \"blood sample tube\"},\n {\"box_2d\": [670, 491, 741, 738], \"label\": \"blood sample tube\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 762, "elapsed_seconds": 10.252030792064033, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 21, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 10.2806}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 161, "image": "car-part-detection_Car-damages-765_png_jpg.rf.98f80e9f33638af692acb0b18adddcfd.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [504, 503, 628, 745], \"label\": \"headlight\"},\n {\"box_2d\": [298, 211, 353, 319], \"label\": \"mirror\"},\n {\"box_2d\": [137, 192, 623, 336], \"label\": \"front door\"},\n {\"box_2d\": [123, 314, 342, 672], \"label\": \"windshield\"},\n {\"box_2d\": [140, 207, 325, 319], \"label\": \"front window\"},\n {\"box_2d\": [135, 117, 504, 216], \"label\": \"back door\"},\n {\"box_2d\": [140, 149, 286, 212], \"label\": \"back window\"},\n {\"box_2d\": [572, 521, 900, 922], \"label\": \"front bumper\"},\n {\"box_2d\": [244, 78, 279, 87], \"label\": \"tail light\"},\n {\"box_2d\": [367, 83, 474, 110], \"label\": \"back bumper\"},\n {\"box_2d\": [251, 389, 551, 907], \"label\": \"hood\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 392, "elapsed_seconds": 30.247208208893426, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 13, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8190817832946777, "attempts": 1, "retries": 0, "total_seconds": 30.2638}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 162, "image": "frame_0089_jpg.rf.c7cd5f3b9d3ee6d5f30b8357b148d8d4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [238, 325, 279, 349], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [248, 381, 294, 409], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [258, 442, 303, 469], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [278, 502, 323, 529], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [336, 314, 382, 338], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [351, 369, 400, 398], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [359, 429, 408, 459], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [381, 493, 430, 522], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [441, 305, 490, 331], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [461, 364, 511, 392], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [473, 425, 523, 454], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [494, 487, 545, 515], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [918, 292, 965, 317], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [930, 353, 978, 380], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [942, 415, 991, 443], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [949, 480, 997, 507], \"label\": \"soda bottle cap\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 588, "elapsed_seconds": 73.80762466706801, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 74.367}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 163, "image": "IMG_5103_JPG.rf.05aa0caa3f6431dd232e7223cc79a35a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [592, 272, 651, 300], \"label\": \"face\"},\n {\"box_2d\": [637, 323, 687, 353], \"label\": \"face\"},\n {\"box_2d\": [686, 401, 743, 439], \"label\": \"face\"},\n {\"box_2d\": [368, 404, 396, 417], \"label\": \"face\"},\n {\"box_2d\": [361, 386, 386, 398], \"label\": \"face\"},\n {\"box_2d\": [357, 355, 382, 366], \"label\": \"face\"},\n {\"box_2d\": [419, 542, 444, 554], \"label\": \"face\"},\n {\"box_2d\": [391, 560, 417, 574], \"label\": \"face\"},\n {\"box_2d\": [427, 577, 452, 591], \"label\": \"face\"},\n {\"box_2d\": [398, 606, 421, 619], \"label\": \"face\"},\n {\"box_2d\": [438, 621, 468, 636], \"label\": \"face\"},\n {\"box_2d\": [417, 648, 445, 663], \"label\": \"face\"},\n {\"box_2d\": [382, 667, 407, 680], \"label\": \"face\"},\n {\"box_2d\": [426, 690, 456, 703], \"label\": \"face\"},\n {\"box_2d\": [434, 715, 463, 730], \"label\": \"face\"},\n {\"box_2d\": [456, 773, 483, 786], \"label\": \"face\"},\n {\"box_2d\": [373, 628, 395, 640], \"label\": \"face\"},\n {\"box_2d\": [373, 604, 393, 614], \"label\": \"face\"},\n {\"box_2d\": [345, 620, 366, 631], \"label\": \"face\"},\n {\"box_2d\": [345, 653, 366, 664], \"label\": \"face\"},\n {\"box_2d\": [365, 681, 386, 692], \"label\": \"face\"},\n {\"box_2d\": [371, 716, 393, 728], \"label\": \"face\"},\n {\"box_2d\": [354, 699, 373, 710], \"label\": \"face\"},\n {\"box_2d\": [336, 755, 355, 766], \"label\": \"face\"},\n {\"box_2d\": [326, 664, 347, 675], \"label\": \"face\"},\n {\"box_2d\": [324, 634, 344, 644], \"label\": \"face\"},\n {\"box_2d\": [301, 609, 321, 620], \"label\": \"face\"},\n {\"box_2d\": [328, 502, 352, 513], \"label\": \"face\"},\n {\"box_2d\": [287, 421, 307, 430], \"label\": \"face\"},\n {\"box_2d\": [289, 442, 310, 451], \"label\": \"face\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 1032, "elapsed_seconds": 35.61612787505146, "metadata": {"match_method": "map", "num_predictions": 30, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5795379281044006, "attempts": 1, "retries": 0, "total_seconds": 36.0978}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 164, "image": "fall-detection_camerathree-second_mp4-114_jpg.rf.8d4ab219233d1b243e3602fc397d1bfa.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [580, 358, 667, 588], \"label\": \"fallen person\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 47, "elapsed_seconds": 8.778230583062395, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 8.7951}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 165, "image": "lot301_JPEG_jpg.rf.190ac2533508d09b091e542956d526a5.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [163, 424, 198, 459], \"label\": \"chicory seed\"},\n {\"box_2d\": [185, 441, 217, 476], \"label\": \"chicory seed\"},\n {\"box_2d\": [184, 466, 207, 509], \"label\": \"chicory seed\"},\n {\"box_2d\": [195, 498, 218, 537], \"label\": \"chicory seed\"},\n {\"box_2d\": [171, 586, 203, 617], \"label\": \"chicory seed\"},\n {\"box_2d\": [197, 623, 218, 662], \"label\": \"chicory seed\"},\n {\"box_2d\": [204, 570, 229, 608], \"label\": \"chicory seed\"},\n {\"box_2d\": [220, 610, 244, 652], \"label\": \"chicory seed\"},\n {\"box_2d\": [220, 533, 245, 573], \"label\": \"chicory seed\"},\n {\"box_2d\": [235, 552, 267, 590], \"label\": \"chicory seed\"},\n {\"box_2d\": [235, 582, 272, 611], \"label\": \"chicory seed\"},\n {\"box_2d\": [243, 622, 281, 646], \"label\": \"chicory seed\"},\n {\"box_2d\": [236, 641, 258, 680], \"label\": \"chicory seed\"},\n {\"box_2d\": [226, 685, 263, 717], \"label\": \"chicory seed\"},\n {\"box_2d\": [248, 714, 283, 750], \"label\": \"chicory seed\"},\n {\"box_2d\": [275, 728, 314, 750], \"label\": \"chicory seed\"},\n {\"box_2d\": [278, 748, 303, 785], \"label\": \"chicory seed\"},\n {\"box_2d\": [283, 709, 323, 735], \"label\": \"chicory seed\"},\n {\"box_2d\": [297, 696, 330, 723], \"label\": \"chicory seed\"},\n {\"box_2d\": [306, 748, 344, 770], \"label\": \"chicory seed\"},\n {\"box_2d\": [319, 736, 357, 761], \"label\": \"chicory seed\"},\n {\"box_2d\": [329, 769, 350, 811], \"label\": \"chicory seed\"},\n {\"box_2d\": [349, 763, 369, 804], \"label\": \"chicory seed\"},\n {\"box_2d\": [368, 752, 386, 793], \"label\": \"chicory seed\"},\n {\"box_2d\": [336, 710, 369, 741], \"label\": \"chicory seed\"},\n {\"box_2d\": [342, 694, 376, 726], \"label\": \"chicory seed\"},\n {\"box_2d\": [367, 719, 403, 748], \"label\": \"chicory seed\"},\n {\"box_2d\": [264, 661, 293, 698], \"label\": \"chicory seed\"},\n {\"box_2d\": [274, 648, 306, 683], \"label\": \"chicory seed\"},\n {\"box_2d\": [263, 567, 300, 600], \"label\": \"chicory seed\"},\n {\"box_2d\": [275, 597, 310, 633], \"label\": \"chicory seed\"},\n {\"box_2d\": [298, 617, 321, 657], \"label\": \"chicory seed\"},\n {\"box_2d\": [316, 657, 354, 688], \"label\": \"chicory seed\"},\n {\"box_2d\": [324, 621, 363, 643], \"label\": \"chicory seed\"},\n {\"box_2d\": [315, 587, 338, 616], \"label\": \"chicory seed\"},\n {\"box_2d\": [304, 564, 346, 586], \"label\": \"chicory seed\"},\n {\"box_2d\": [283, 540, 319, 568], \"label\": \"chicory seed\"},\n {\"box_2d\": [271, 507, 304, 544], \"label\": \"chicory seed\"},\n {\"box_2d\": [304, 495, 325, 536], \"label\": \"chicory seed\"},\n {\"box_2d\": [319, 513, 339, 555], \"label\": \"chicory seed\"},\n {\"box_2d\": [336, 580, 363, 616], \"label\": \"chicory seed\"},\n {\"box_2d\": [349, 536, 368, 577], \"label\": \"chicory seed\"},\n {\"box_2d\": [357, 636, 377, 676], \"label\": \"chicory seed\"},\n {\"box_2d\": [360, 591, 381, 630], \"label\": \"chicory seed\"},\n {\"box_2d\": [377, 598, 405, 631], \"label\": \"chicory seed\"},\n {\"box_2d\": [381, 646, 400, 686], \"label\": \"chicory seed\"},\n {\"box_2d\": [183, 345, 207, 382], \"label\": \"chicory seed\"},\n {\"box_2d\": [194, 372, 232, 396], \"label\": \"chicory seed\"},\n {\"box_2d\": [213, 294, 241, 333], \"label\": \"chicory seed\"},\n {\"box_2d\": [212, 342, 244, 380], \"label\": \"chicory seed\"},\n {\"box_2d\": [232, 301, 255, 346], \"label\": \"chicory seed\"},\n {\"box_2d\": [239, 261, 278, 286], \"label\": \"chicory seed\"},\n {\"box_2d\": [258, 289, 277, 329], \"label\": \"chicory seed\"},\n {\"box_2d\": [244, 333, 283, 361], \"label\": \"chicory seed\"},\n {\"box_2d\": [212, 408, 230, 447], \"label\": \"chicory seed\"},\n {\"box_2d\": [224, 393, 253, 432], \"label\": \"chicory seed\"},\n {\"box_2d\": [241, 375, 268, 412], \"label\": \"chicory seed\"},\n {\"box_2d\": [250, 361, 280, 395], \"label\": \"chicory seed\"},\n {\"box_2d\": [227, 432, 248, 472], \"label\": \"chicory seed\"},\n {\"box_2d\": [223, 469, 260, 496], \"label\": \"chicory seed\"},\n {\"box_2d\": [237, 491, 267, 527], \"label\": \"chicory seed\"},\n {\"box_2d\": [248, 424, 277, 462], \"label\": \"chicory seed\"},\n {\"box_2d\": [268, 386, 298, 424], \"label\": \"chicory seed\"},\n {\"box_2d\": [268, 446, 306, 469], \"label\": \"chicory seed\"},\n {\"box_2d\": [280, 468, 302, 504], \"label\": \"chicory seed\"},\n {\"box_2d\": [284, 405, 313, 446], \"label\": \"chicory seed\"},\n {\"box_2d\": [306, 450, 329, 491], \"label\": \"chicory seed\"},\n {\"box_2d\": [308, 406, 333, 448], \"label\": \"chicory seed\"},\n {\"box_2d\": [280, 362, 319, 386], \"label\": \"chicory seed\"},\n {\"box_2d\": [291, 380, 329, 401], \"label\": \"chicory seed\"},\n {\"box_2d\": [284, 340, 322, 362], \"label\": \"chicory seed\"},\n {\"box_2d\": [278, 318, 316, 337], \"label\": \"chicory seed\"},\n {\"box_2d\": [277, 273, 299, 315], \"label\": \"chicory seed\"},\n {\"box_2d\": [271, 222, 301, 260], \"label\": \"chicory seed\"},\n {\"box_2d\": [301, 252, 320, 294], \"label\": \"chicory seed\"},\n {\"box_2d\": [303, 289, 332, 323], \"label\": \"chicory seed\"},\n {\"box_2d\": [319, 339, 341, 378], \"label\": \"chicory seed\"},\n {\"box_2d\": [330, 352, 362, 387], \"label\": \"chicory seed\"},\n {\"box_2d\": [332, 461, 357, 501], \"label\": \"chicory seed\"},\n {\"box_2d\": [342, 428, 375, 462], \"label\": \"chicory seed\"},\n {\"box_2d\": [354, 466, 392, 497], \"label\": \"chicory seed\"},\n {\"box_2d\": [337, 513, 377, 535], \"label\": \"chicory seed\"},\n {\"box_2d\": [379, 493, 418, 517], \"label\": \"chicory seed\"},\n {\"box_2d\": [381, 511, 419, 537], \"label\": \"chicory seed\"},\n {\"box_2d\": [300, 194, 339, 224], \"label\": \"chicory seed\"},\n {\"box_2d\": [306, 214, 344, 245], \"label\": \"chicory seed\"},\n {\"box_2d\": [324, 242, 353, 276], \"label\": \"chicory seed\"},\n {\"box_2d\": [336, 273, 356, 311], \"label\": \"chicory seed\"},\n {\"box_2d\": [340, 187, 360, 229], \"label\": \"chicory seed\"},\n {\"box_2d\": [354, 209, 376, 253], \"label\": \"chicory seed\"},\n {\"box_2d\": [357, 257, 383, 296], \"label\": \"chicory seed\"},\n {\"box_2d\": [363, 165, 398, 190], \"label\": \"chicory seed\"},\n {\"box_2d\": [379, 179, 408, 217], \"label\": \"chicory seed\"},\n {\"box_2d\": [375, 221, 409, 256], \"label\": \"chicory seed\"},\n {\"box_2d\": [370, 285, 399, 320], \"label\": \"chicory seed\"},\n {\"box_2d\": [397, 196, 425, 234], \"label\": \"chicory seed\"},\n {\"box_2d\": [419, 166, 456, 197], \"label\": \"chicory seed\"},\n {\"box_2d\": [432, 184, 469, 213], \"label\": \"chicory seed\"},\n {\"box_2d\": [434, 214, 471, 234], \"label\": \"chicory seed\"},\n {\"box_2d\": [413, 233, 444, 267], \"label\": \"chicory seed\"},\n {\"box_2d\": [402, 254, 436, 283], \"label\": \"chicory seed\"},\n {\"box_2d\": [395, 304, 428, 336], \"label\": \"chicory seed\"},\n {\"box_2d\": [378, 336, 400, 376], \"label\": \"chicory seed\"},\n {\"box_2d\": [378, 376, 417, 396], \"label\": \"chicory seed\"},\n {\"box_2d\": [416, 331, 436, 370], \"label\": \"chicory seed\"},\n {\"box_2d\": [423, 286, 452, 323], \"label\": \"chicory seed\"},\n {\"box_2d\": [468, 195, 495, 231], \"label\": \"chicory seed\"},\n {\"box_2d\": [454, 230, 491, 256], \"label\": \"chicory seed\"},\n {\"box_2d\": [457, 250, 492, 282], \"label\": \"chicory seed\"},\n {\"box_2d\": [496, 151, 531, 173], \"label\": \"chicory seed\"},\n {\"box_2d\": [488, 181, 526, 203], \"label\": \"chicory seed\"},\n {\"box_2d\": [495, 207, 523, 248], \"label\": \"chicory seed\"},\n {\"box_2d\": [515, 224, 550, 254], \"label\": \"chicory seed\"},\n {\"box_2d\": [546, 152, 577, 190], \"label\": \"chicory seed\"},\n {\"box_2d\": [553, 176, 583, 210], \"label\": \"chicory seed\"},\n {\"box_2d\": [535, 209, 576, 237], \"label\": \"chicory seed\"},\n {\"box_2d\": [532, 238, 570, 267], \"label\": \"chicory seed\"},\n {\"box_2d\": [459, 295, 499, 319], \"label\": \"chicory seed\"},\n {\"box_2d\": [447, 321, 485, 353], \"label\": \"chicory seed\"},\n {\"box_2d\": [485, 279, 525, 307], \"label\": \"chicory seed\"},\n {\"box_2d\": [488, 315, 507, 356], \"label\": \"chicory seed\"},\n {\"box_2d\": [513, 298, 547, 333], \"label\": \"chicory seed\"},\n {\"box_2d\": [508, 338, 545, 360], \"label\": \"chicory seed\"},\n {\"box_2d\": [439, 359, 465, 399], \"label\": \"chicory seed\"},\n {\"box_2d\": [419, 395, 442, 431], \"label\": \"chicory seed\"},\n {\"box_2d\": [414, 433, 452, 458], \"label\": \"chicory seed\"},\n {\"box_2d\": [453, 378, 474, 422], \"label\": \"chicory seed\"},\n {\"box_2d\": [468, 369, 507, 397], \"label\": \"chicory seed\"},\n {\"box_2d\": [461, 424, 500, 449], \"label\": \"chicory seed\"},\n {\"box_2d\": [476, 409, 514, 431], \"label\": \"chicory seed\"},\n {\"box_2d\": [507, 362, 535, 401], \"label\": \"chicory seed\"},\n {\"box_2d\": [519, 389, 542, 429], \"label\": \"chicory seed\"},\n {\"box_2d\": [538, 360, 580, 383], \"label\": \"chicory seed\"},\n {\"box_2d\": [539, 388, 570, 427], \"label\": \"chicory seed\"},\n {\"box_2d\": [551, 336, 593, 363], \"label\": \"chicory seed\"},\n {\"box_2d\": [562, 279, 581, 320], \"label\": \"chicory seed\"},\n {\"box_2d\": [573, 234, 606, 273], \"label\": \"chicory seed\"},\n {\"box_2d\": [586, 223, 617, 258], \"label\": \"chicory seed\"},\n {\"box_2d\": [607, 194, 628, 231], \"label\": \"chicory seed\"},\n {\"box_2d\": [618, 168, 655, 192], \"label\": \"chicory seed\"},\n {\"box_2d\": [618, 219, 645, 259], \"label\": \"chicory seed\"},\n {\"box_2d\": [640, 185, 670, 222], \"label\": \"chicory seed\"},\n {\"box_2d\": [639, 232, 668, 269], \"label\": \"chicory seed\"},\n {\"box_2d\": [659, 196, 687, 234], \"label\": \"chicory seed\"},\n {\"box_2d\": [669, 209, 697, 252], \"label\": \"chicory seed\"},\n {\"box_2d\": [696, 212, 715, 253], \"label\": \"chicory seed\"},\n {\"box_2d\": [661, 253, 700, 279], \"label\": \"chicory seed\"},\n {\"box_2d\": [666, 269, 703, 294], \"label\": \"chicory seed\"},\n {\"box_2d\": [582, 296, 617, 321], \"label\": \"chicory seed\"},\n {\"box_2d\": [595, 323, 616, 365], \"label\": \"chicory seed\"},\n {\"box_2d\": [573, 365, 605, 401], \"label\": \"chicory seed\"},\n {\"box_2d\": [567, 401, 605, 427], \"label\": \"chicory seed\"},\n {\"box_2d\": [588, 412, 618, 448], \"label\": \"chicory seed\"},\n {\"box_2d\": [609, 344, 630, 389], \"label\": \"chicory seed\"},\n {\"box_2d\": [614, 288, 648, 314], \"label\": \"chicory seed\"},\n {\"box_2d\": [626, 313, 665, 336], \"label\": \"chicory seed\"},\n {\"box_2d\": [632, 339, 672, 366], \"label\": \"chicory seed\"},\n {\"box_2d\": [631, 367, 668, 388], \"label\": \"chicory seed\"},\n {\"box_2d\": [646, 386, 683, 408], \"label\": \"chicory seed\"},\n {\"box_2d\": [648, 294, 688, 317], \"label\": \"chicory seed\"},\n {\"box_2d\": [664, 353, 694, 389], \"label\": \"chicory seed\"},\n {\"box_2d\": [677, 328, 702, 368], \"label\": \"chicory seed\"},\n {\"box_2d\": [689, 293, 725, 315], \"label\": \"chicory seed\"},\n {\"box_2d\": [712, 251, 731, 292], \"label\": \"chicory seed\"},\n {\"box_2d\": [726, 270, 758, 304], \"label\": \"chicory seed\"},\n {\"box_2d\": [717, 302, 755, 323], \"label\": \"chicory seed\"},\n {\"box_2d\": [696, 316, 733, 349], \"label\": \"chicory seed\"},\n {\"box_2d\": [712, 350, 743, 386], \"label\": \"chicory seed\"},\n {\"box_2d\": [686, 370, 718, 406], \"label\": \"chicory seed\"},\n {\"box_2d\": [677, 409, 696, 449], \"label\": \"chicory seed\"},\n {\"box_2d\": [734, 324, 763, 362], \"label\": \"chicory seed\"},\n {\"box_2d\": [757, 289, 782, 327], \"label\": \"chicory seed\"},\n {\"box_2d\": [776, 301, 795, 343], \"label\": \"chicory seed\"},\n {\"box_2d\": [749, 342, 789, 363], \"label\": \"chicory seed\"},\n {\"box_2d\": [744, 364, 771, 404], \"label\": \"chicory seed\"},\n {\"box_2d\": [714, 384, 734, 425], \"label\": \"chicory seed\"},\n {\"box_2d\": [735, 386, 758, 428], \"label\": \"chicory seed\"},\n {\"box_2d\": [788, 331, 809, 374], \"label\": \"chicory seed\"},\n {\"box_2d\": [769, 367, 808, 393], \"label\": \"chicory seed\"},\n {\"box_2d\": [806, 360, 833, 401], \"label\": \"chicory seed\"},\n {\"box_2d\": [776, 395, 810, 431], \"label\": \"chicory seed\"},\n {\"box_2d\": [759, 412, 796, 438], \"label\": \"chicory seed\"},\n {\"box_2d\": [805, 396, 836, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [810, 433, 846, 455], \"label\": \"chicory seed\"},\n {\"box_2d\": [794, 436, 818, 479], \"label\": \"chicory seed\"},\n {\"box_2d\": [776, 442, 801, 484], \"label\": \"chicory seed\"},\n {\"box_2d\": [740, 431, 761, 471], \"label\": \"chicory seed\"},\n {\"box_2d\": [699, 436, 734, 464], \"label\": \"chicory seed\"},\n {\"box_2d\": [672, 457, 694, 498], \"label\": \"chicory seed\"},\n {\"box_2d\": [695, 466, 725, 504], \"label\": \"chicory seed\"},\n {\"box_2d\": [733, 470, 769, 501], \"label\": \"chicory seed\"},\n {\"box_2d\": [777, 480, 807, 510], \"label\": \"chicory seed\"},\n {\"box_2d\": [801, 482, 834, 513], \"label\": \"chicory seed\"},\n {\"box_2d\": [825, 457, 852, 493], \"label\": \"chicory seed\"},\n {\"box_2d\": [751, 491, 773, 530], \"label\": \"chicory seed\"},\n {\"box_2d\": [710, 521, 750, 544], \"label\": \"chicory seed\"},\n {\"box_2d\": [753, 526, 794, 550], \"label\": \"chicory seed\"},\n {\"box_2d\": [784, 531, 815, 566], \"label\": \"chicory seed\"},\n {\"box_2d\": [817, 532, 852, 554], \"label\": \"chicory seed\"},\n {\"box_2d\": [806, 550, 845, 573], \"label\": \"chicory seed\"},\n {\"box_2d\": [588, 469, 617, 506], \"label\": \"chicory seed\"},\n {\"box_2d\": [427, 470, 449, 509], \"label\": \"chicory seed\"},\n {\"box_2d\": [467, 469, 494, 503], \"label\": \"chicory seed\"},\n {\"box_2d\": [453, 501, 482, 535], \"label\": \"chicory seed\"},\n {\"box_2d\": [412, 533, 434, 574], \"label\": \"chicory seed\"},\n {\"box_2d\": [414, 576, 442, 610], \"label\": \"chicory seed\"},\n {\"box_2d\": [439, 548, 467, 582], \"label\": \"chicory seed\"},\n {\"box_2d\": [453, 532, 480, 571], \"label\": \"chicory seed\"},\n {\"box_2d\": [480, 525, 502, 566], \"label\": \"chicory seed\"},\n {\"box_2d\": [471, 566, 497, 606], \"label\": \"chicory seed\"},\n {\"box_2d\": [539, 517, 565, 556], \"label\": \"chicory seed\"},\n {\"box_2d\": [560, 542, 591, 573], \"label\": \"chicory seed\"},\n {\"box_2d\": [416, 639, 437, 681], \"label\": \"chicory seed\"},\n {\"box_2d\": [433, 622, 468, 656], \"label\": \"chicory seed\"},\n {\"box_2d\": [438, 644, 472, 672], \"label\": \"chicory seed\"},\n {\"box_2d\": [462, 601, 491, 635], \"label\": \"chicory seed\"},\n {\"box_2d\": [491, 592, 510, 631], \"label\": \"chicory seed\"},\n {\"box_2d\": [472, 634, 497, 675], \"label\": \"chicory seed\"},\n {\"box_2d\": [504, 609, 528, 652], \"label\": \"chicory seed\"},\n {\"box_2d\": [530, 592, 549, 632], \"label\": \"chicory seed\"},\n {\"box_2d\": [551, 590, 583, 622], \"label\": \"chicory seed\"},\n {\"box_2d\": [552, 614, 579, 652], \"label\": \"chicory seed\"},\n {\"box_2d\": [574, 573, 599, 609], \"label\": \"chicory seed\"},\n {\"box_2d\": [598, 555, 618, 598], \"label\": \"chicory seed\"},\n {\"box_2d\": [617, 555, 638, 595], \"label\": \"chicory seed\"},\n {\"box_2d\": [593, 597, 629, 623], \"label\": \"chicory seed\"},\n {\"box_2d\": [579, 622, 612, 648], \"label\": \"chicory seed\"},\n {\"box_2d\": [500, 674, 538, 699], \"label\": \"chicory seed\"},\n {\"box_2d\": [515, 661, 551, 683], \"label\": \"chicory seed\"},\n {\"box_2d\": [551, 655, 585, 676], \"label\": \"chicory seed\"},\n {\"box_2d\": [588, 651, 610, 691], \"label\": \"chicory seed\"},\n {\"box_2d\": [612, 637, 650, 661], \"label\": \"chicory seed\"},\n {\"box_2d\": [621, 603, 647, 639], \"label\": \"chicory seed\"},\n {\"box_2d\": [636, 524, 660, 566], \"label\": \"chicory seed\"},\n {\"box_2d\": [661, 517, 687, 555], \"label\": \"chicory seed\"},\n {\"box_2d\": [639, 574, 662, 612], \"label\": \"chicory seed\"},\n {\"box_2d\": [641, 612, 666, 646], \"label\": \"chicory seed\"},\n {\"box_2d\": [660, 558, 692, 591], \"label\": \"chicory seed\"},\n {\"box_2d\": [666, 587, 703, 612], \"label\": \"chicory seed\"},\n {\"box_2d\": [694, 569, 728, 595], \"label\": \"chicory seed\"},\n {\"box_2d\": [690, 595, 718, 635], \"label\": \"chicory seed\"},\n {\"box_2d\": [669, 616, 689, 658], \"label\": \"chicory seed\"},\n {\"box_2d\": [660, 643, 683, 679], \"label\": \"chicory seed\"},\n {\"box_2d\": [685, 650, 715, 686], \"label\": \"chicory seed\"},\n {\"box_2d\": [721, 585, 744, 623], \"label\": \"chicory seed\"},\n {\"box_2d\": [734, 555, 770, 585], \"label\": \"chicory seed\"},\n {\"box_2d\": [757, 565, 782, 604], \"label\": \"chicory seed\"},\n {\"box_2d\": [772, 595, 804, 631], \"label\": \"chicory seed\"},\n {\"box_2d\": [792, 579, 814, 621], \"label\": \"chicory seed\"},\n {\"box_2d\": [812, 596, 835, 637], \"label\": \"chicory seed\"},\n {\"box_2d\": [720, 641, 741, 680], \"label\": \"chicory seed\"},\n {\"box_2d\": [737, 639, 775, 663], \"label\": \"chicory seed\"},\n {\"box_2d\": [745, 663, 783, 683], \"label\": \"chicory seed\"},\n {\"box_2d\": [793, 639, 827, 674], \"label\": \"chicory seed\"},\n {\"box_2d\": [768, 698, 803, 728], \"label\": \"chicory seed\"},\n {\"box_2d\": [592, 692, 622, 724], \"label\": \"chicory seed\"},\n {\"box_2d\": [614, 670, 655, 691], \"label\": \"chicory seed\"},\n {\"box_2d\": [646, 684, 682, 711], \"label\": \"chicory seed\"},\n {\"box_2d\": [671, 687, 701, 722], \"label\": \"chicory seed\"},\n {\"box_2d\": [644, 728, 683, 752], \"label\": \"chicory seed\"},\n {\"box_2d\": [663, 750, 699, 773], \"label\": \"chicory seed\"},\n {\"box_2d\": [656, 771, 679, 811], \"label\": \"chicory seed\"},\n {\"box_2d\": [696, 717, 728, 750], \"label\": \"chicory seed\"},\n {\"box_2d\": [700, 746, 720, 784], \"label\": \"chicory seed\"},\n {\"box_2d\": [722, 742, 757, 769], \"label\": \"chicory seed\"},\n {\"box_2d\": [712, 766, 734, 805], \"label\": \"chicory seed\"},\n {\"box_2d\": [389, 690, 428, 710], \"label\": \"chicory seed\"},\n {\"box_2d\": [397, 710, 431, 730], \"label\": \"chicory seed\"},\n {\"box_2d\": [430, 691, 450, 728], \"label\": \"chicory seed\"},\n {\"box_2d\": [406, 732, 425, 770], \"label\": \"chicory seed\"},\n {\"box_2d\": [425, 731, 445, 768], \"label\": \"chicory seed\"},\n {\"box_2d\": [446, 672, 487, 692], \"label\": \"chicory seed\"},\n {\"box_2d\": [459, 692, 495, 713], \"label\": \"chicory seed\"},\n {\"box_2d\": [462, 721, 496, 749], \"label\": \"chicory seed\"},\n {\"box_2d\": [492, 709, 518, 745], \"label\": \"chicory seed\"},\n {\"box_2d\": [512, 706, 544, 738], \"label\": \"chicory seed\"},\n {\"box_2d\": [363, 817, 399, 845], \"label\": \"chicory seed\"},\n {\"box_2d\": [382, 829, 415, 859], \"label\": \"chicory seed\"},\n {\"box_2d\": [410, 779, 428, 821], \"label\": \"chicory seed\"},\n {\"box_2d\": [429, 807, 449, 849], \"label\": \"chicory seed\"},\n {\"box_2d\": [429, 785, 467, 811], \"label\": \"chicory seed\"},\n {\"box_2d\": [441, 765, 481, 785], \"label\": \"chicory seed\"},\n {\"box_2d\": [449, 812, 469, 854], \"label\": \"chicory seed\"},\n {\"box_2d\": [469, 783, 507, 803], \"label\": \"chicory seed\"},\n {\"box_2d\": [482, 749, 503, 786], \"label\": \"chicory seed\"},\n {\"box_2d\": [500, 749, 520, 789], \"label\": \"chicory seed\"},\n {\"box_2d\": [520, 738, 545, 778], \"label\": \"chicory seed\"},\n {\"box_2d\": [471, 804, 501, 836], \"label\": \"chicory seed\"},\n {\"box_2d\": [468, 835, 496, 862], \"label\": \"chicory seed\"},\n {\"box_2d\": [490, 815, 523, 847], \"label\": \"chicory seed\"},\n {\"box_2d\": [502, 836, 521, 880], \"label\": \"chicory seed\"},\n {\"box_2d\": [505, 795, 543, 814], \"label\": \"chicory seed\"},\n {\"box_2d\": [522, 774, 561, 792], \"label\": \"chicory seed\"},\n {\"box_2d\": [527, 810, 565, 831], \"label\": \"chicory seed\"},\n {\"box_2d\": [528, 834, 558, 869], \"label\": \"chicory seed\"},\n {\"box_2d\": [555, 725, 591, 756], \"label\": \"chicory seed\"},\n {\"box_2d\": [551, 756, 590, 774], \"label\": \"chicory seed\"},\n {\"box_2d\": [558, 776, 583, 814], \"label\": \"chicory seed\"},\n {\"box_2d\": [559, 804, 586, 845], \"label\": \"chicory seed\"},\n {\"box_2d\": [583, 825, 602, 867], \"label\": \"chicory seed\"},\n {\"box_2d\": [590, 785, 611, 822], \"label\": \"chicory seed\"},\n {\"box_2d\": [600, 729, 621, 769], \"label\": \"chicory seed\"},\n {\"box_2d\": [618, 806, 650, 839], \"label\": \"chicory seed\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 10920, "elapsed_seconds": 83.1977832079865, "metadata": {"match_method": "map", "num_predictions": 303, "num_ground_truth": 303, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3366336524486542, "attempts": 1, "retries": 0, "total_seconds": 83.3366}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 166, "image": "9pro_tire_2024-10-17_2_png_jpg.rf.4f51ee46ba892a991a30327b934d13a9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [77, 198, 179, 396], \"label\": \"tire size text\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 47, "elapsed_seconds": 71.97327512491029, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5049504637718201, "attempts": 1, "retries": 0, "total_seconds": 72.2935}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 167, "image": "2024-12-05T02-00-56-789Z-1004_jpg.rf.16e81306ce0ce847c1fdd836e6752b92.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [243, 0, 658, 160], \"label\": \"velcro cable tie\"},\n {\"box_2d\": [427, 868, 504, 927], \"label\": \"screw\"},\n {\"box_2d\": [648, 524, 686, 563], \"label\": \"screw\"},\n {\"box_2d\": [626, 149, 672, 181], \"label\": \"screw\"}\n]\n```", "correct": true, "input_tokens": 1204, "output_tokens": 149, "elapsed_seconds": 8.63343987497501, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 8.935}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 168, "image": "45_png.rf.5c5cd31ecf12f414c9d6c446b6599fc0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [56, 239, 90, 297], \"label\": \"not gate symbol\"},\n {\"box_2d\": [101, 424, 152, 523], \"label\": \"and gate symbol\"},\n {\"box_2d\": [90, 789, 139, 886], \"label\": \"or gate symbol\"},\n {\"box_2d\": [300, 550, 360, 629], \"label\": \"and gate symbol\"},\n {\"box_2d\": [300, 667, 360, 745], \"label\": \"and gate symbol\"},\n {\"box_2d\": [369, 789, 419, 886], \"label\": \"or gate symbol\"},\n {\"box_2d\": [579, 574, 640, 653], \"label\": \"and gate symbol\"},\n {\"box_2d\": [579, 691, 640, 767], \"label\": \"and gate symbol\"},\n {\"box_2d\": [649, 811, 699, 907], \"label\": \"or gate symbol\"},\n {\"box_2d\": [871, 591, 932, 667], \"label\": \"and gate symbol\"},\n {\"box_2d\": [871, 707, 932, 784], \"label\": \"and gate symbol\"},\n {\"box_2d\": [940, 811, 990, 907], \"label\": \"or gate symbol\"}\n]\n```", "correct": true, "input_tokens": 1264, "output_tokens": 441, "elapsed_seconds": 7.030627500033006, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 7.0369}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 169, "image": "paper-parts_112786_53_jpg.rf.0483acf3782b23a87f49280c7a03b327.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [92, 175, 330, 667], \"label\": \"figure\"},\n {\"box_2d\": [372, 176, 424, 882], \"label\": \"figure caption\"},\n {\"box_2d\": [478, 176, 493, 207], \"label\": \"paragraph\"},\n {\"box_2d\": [524, 274, 551, 752], \"label\": \"equation\"},\n {\"box_2d\": [560, 274, 588, 711], \"label\": \"equation\"},\n {\"box_2d\": [597, 274, 624, 783], \"label\": \"equation\"},\n {\"box_2d\": [633, 274, 661, 734], \"label\": \"equation\"},\n {\"box_2d\": [670, 274, 697, 735], \"label\": \"equation\"},\n {\"box_2d\": [708, 274, 723, 529], \"label\": \"equation\"},\n {\"box_2d\": [756, 176, 869, 882], \"label\": \"paragraph\"},\n {\"box_2d\": [897, 519, 913, 539], \"label\": \"page number\"}\n]\n```", "correct": true, "input_tokens": 1248, "output_tokens": 387, "elapsed_seconds": 6.251943040988408, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8504949808120728, "attempts": 1, "retries": 0, "total_seconds": 6.2914}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 170, "image": "signatures_image_21_png_jpg.rf.af64d00b20a92b8a4d92e9aefc5cd1f8.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [72, 217, 176, 358], \"label\": \"signature\"},\n {\"box_2d\": [654, 511, 756, 725], \"label\": \"signature\"},\n {\"box_2d\": [829, 651, 932, 853], \"label\": \"signature\"},\n {\"box_2d\": [833, 418, 945, 643], \"label\": \"signature\"},\n {\"box_2d\": [302, 678, 386, 865], \"label\": \"signature\"}\n]\n```", "correct": true, "input_tokens": 1252, "output_tokens": 181, "elapsed_seconds": 14.600932125002146, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.800000011920929, "attempts": 1, "retries": 0, "total_seconds": 14.7316}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 171, "image": "1668146885__jpg.rf.3d8577f11d5831de64da2c2964b98050.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [58, 790, 113, 822], \"label\": \"three die\"},\n {\"box_2d\": [108, 750, 161, 782], \"label\": \"three die\"},\n {\"box_2d\": [129, 711, 185, 743], \"label\": \"six die\"},\n {\"box_2d\": [209, 886, 263, 916], \"label\": \"five die\"},\n {\"box_2d\": [298, 791, 353, 822], \"label\": \"three die\"},\n {\"box_2d\": [304, 919, 360, 950], \"label\": \"three die\"},\n {\"box_2d\": [345, 779, 400, 811], \"label\": \"five die\"},\n {\"box_2d\": [540, 805, 586, 833], \"label\": \"six die\"},\n {\"box_2d\": [579, 829, 625, 855], \"label\": \"five die\"},\n {\"box_2d\": [612, 791, 657, 818], \"label\": \"six die\"},\n {\"box_2d\": [678, 857, 728, 886], \"label\": \"six die\"},\n {\"box_2d\": [654, 711, 710, 743], \"label\": \"three die\"},\n {\"box_2d\": [485, 716, 540, 749], \"label\": \"two die\"},\n {\"box_2d\": [474, 684, 530, 716], \"label\": \"three die\"},\n {\"box_2d\": [421, 661, 476, 691], \"label\": \"six die\"},\n {\"box_2d\": [377, 688, 431, 720], \"label\": \"three die\"},\n {\"box_2d\": [291, 684, 348, 715], \"label\": \"four die\"},\n {\"box_2d\": [261, 634, 315, 665], \"label\": \"five die\"},\n {\"box_2d\": [196, 634, 255, 668], \"label\": \"six die\"},\n {\"box_2d\": [310, 597, 360, 623], \"label\": \"one die\"},\n {\"box_2d\": [305, 563, 351, 590], \"label\": \"six die\"},\n {\"box_2d\": [345, 545, 401, 577], \"label\": \"five die\"},\n {\"box_2d\": [447, 589, 496, 616], \"label\": \"three die\"},\n {\"box_2d\": [508, 539, 566, 569], \"label\": \"five die\"},\n {\"box_2d\": [544, 559, 598, 590], \"label\": \"five die\"},\n {\"box_2d\": [556, 532, 608, 560], \"label\": \"two die\"},\n {\"box_2d\": [617, 554, 670, 585], \"label\": \"four die\"},\n {\"box_2d\": [699, 585, 746, 613], \"label\": \"six die\"},\n {\"box_2d\": [624, 511, 680, 543], \"label\": \"four die\"},\n {\"box_2d\": [572, 496, 631, 528], \"label\": \"six die\"},\n {\"box_2d\": [510, 468, 565, 499], \"label\": \"five die\"},\n {\"box_2d\": [598, 449, 644, 475], \"label\": \"two die\"},\n {\"box_2d\": [25, 353, 84, 386], \"label\": \"four die\"},\n {\"box_2d\": [50, 206, 98, 234], \"label\": \"five die\"},\n {\"box_2d\": [143, 143, 194, 170], \"label\": \"two die\"},\n {\"box_2d\": [172, 226, 229, 257], \"label\": \"three die\"},\n {\"box_2d\": [329, 213, 384, 245], \"label\": \"five die\"},\n {\"box_2d\": [377, 201, 434, 233], \"label\": \"five die\"},\n {\"box_2d\": [380, 275, 439, 307], \"label\": \"five die\"},\n {\"box_2d\": [345, 319, 399, 349], \"label\": \"five die\"},\n {\"box_2d\": [393, 137, 450, 170], \"label\": \"three die\"},\n {\"box_2d\": [441, 216, 498, 249], \"label\": \"one die\"},\n {\"box_2d\": [517, 217, 574, 249], \"label\": \"three die\"},\n {\"box_2d\": [520, 273, 577, 306], \"label\": \"three die\"},\n {\"box_2d\": [629, 165, 678, 193], \"label\": \"two die\"},\n {\"box_2d\": [694, 226, 749, 257], \"label\": \"two die\"},\n {\"box_2d\": [731, 259, 785, 290], \"label\": \"four die\"},\n {\"box_2d\": [965, 763, 1000, 790], \"label\": \"six die\"},\n {\"box_2d\": [974, 735, 1000, 763], \"label\": \"two die\"}\n]\n```", "correct": false, "input_tokens": 1252, "output_tokens": 1724, "elapsed_seconds": 29.4105086249765, "metadata": {"match_method": "map", "num_predictions": 49, "num_ground_truth": 48, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6378767490386963, "attempts": 1, "retries": 0, "total_seconds": 29.4671}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 172, "image": "IMG_20220316_171754_jpg.rf.02842914dec30f998cea03868026b96a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [86, 192, 405, 487], \"label\": \"eight of clubs\"},\n {\"box_2d\": [283, 274, 650, 540], \"label\": \"seven of clubs\"},\n {\"box_2d\": [294, 421, 676, 738], \"label\": \"five of clubs\"},\n {\"box_2d\": [462, 517, 941, 926], \"label\": \"six of clubs\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 155, "elapsed_seconds": 17.031515125068836, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 17.0742}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 173, "image": "39_jpg.rf.edb5339d00a37b75d6cf16c1f9a301ff.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [173, 165, 211, 206], \"label\": \"resistor symbol\"},\n {\"box_2d\": [149, 353, 198, 405], \"label\": \"resistor symbol\"},\n {\"box_2d\": [155, 769, 192, 811], \"label\": \"resistor symbol\"},\n {\"box_2d\": [117, 556, 208, 619], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [465, 62, 635, 126], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [354, 271, 448, 286], \"label\": \"resistor symbol\"},\n {\"box_2d\": [772, 330, 837, 400], \"label\": \"resistor symbol\"},\n {\"box_2d\": [355, 482, 455, 497], \"label\": \"resistor symbol\"},\n {\"box_2d\": [322, 674, 420, 691], \"label\": \"resistor symbol\"},\n {\"box_2d\": [441, 855, 540, 875], \"label\": \"resistor symbol\"},\n {\"box_2d\": [826, 271, 895, 297], \"label\": \"ground symbol\"}\n]\n```", "correct": true, "input_tokens": 1216, "output_tokens": 408, "elapsed_seconds": 53.50294683291577, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 10, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8333333134651184, "attempts": 1, "retries": 0, "total_seconds": 53.6163}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 174, "image": "99FB9DDE-58F9-4BBA-8CC2-48146BC0EBC5_jpg.rf.1cef29e3b05e7507a4b618bd8b857503.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [191, 249, 253, 309], \"label\": \"pill\"},\n {\"box_2d\": [181, 444, 244, 502], \"label\": \"pill\"},\n {\"box_2d\": [278, 450, 338, 509], \"label\": \"pill\"},\n {\"box_2d\": [270, 328, 330, 388], \"label\": \"pill\"},\n {\"box_2d\": [293, 202, 353, 265], \"label\": \"pill\"},\n {\"box_2d\": [354, 180, 412, 242], \"label\": \"pill\"},\n {\"box_2d\": [336, 285, 394, 344], \"label\": \"pill\"},\n {\"box_2d\": [319, 408, 377, 467], \"label\": \"pill\"},\n {\"box_2d\": [334, 469, 392, 528], \"label\": \"pill\"},\n {\"box_2d\": [377, 391, 435, 449], \"label\": \"pill\"},\n {\"box_2d\": [387, 311, 444, 371], \"label\": \"pill\"},\n {\"box_2d\": [419, 246, 478, 306], \"label\": \"pill\"},\n {\"box_2d\": [417, 134, 475, 197], \"label\": \"pill\"},\n {\"box_2d\": [445, 359, 504, 418], \"label\": \"pill\"},\n {\"box_2d\": [472, 305, 532, 365], \"label\": \"pill\"},\n {\"box_2d\": [399, 477, 457, 535], \"label\": \"pill\"},\n {\"box_2d\": [446, 440, 504, 498], \"label\": \"pill\"},\n {\"box_2d\": [387, 546, 446, 604], \"label\": \"pill\"},\n {\"box_2d\": [450, 533, 509, 591], \"label\": \"pill\"},\n {\"box_2d\": [429, 613, 488, 673], \"label\": \"pill\"},\n {\"box_2d\": [404, 668, 464, 729], \"label\": \"pill\"},\n {\"box_2d\": [489, 485, 548, 544], \"label\": \"pill\"},\n {\"box_2d\": [504, 414, 563, 473], \"label\": \"pill\"},\n {\"box_2d\": [514, 346, 574, 405], \"label\": \"pill\"},\n {\"box_2d\": [592, 365, 653, 426], \"label\": \"pill\"},\n {\"box_2d\": [602, 282, 663, 344], \"label\": \"pill\"},\n {\"box_2d\": [620, 199, 682, 263], \"label\": \"pill\"},\n {\"box_2d\": [612, 449, 672, 509], \"label\": \"pill\"},\n {\"box_2d\": [552, 466, 612, 526], \"label\": \"pill\"},\n {\"box_2d\": [563, 531, 623, 590], \"label\": \"pill\"},\n {\"box_2d\": [508, 561, 568, 621], \"label\": \"pill\"},\n {\"box_2d\": [636, 540, 697, 600], \"label\": \"pill\"},\n {\"box_2d\": [685, 762, 749, 829], \"label\": \"pill\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 1134, "elapsed_seconds": 58.75373799994122, "metadata": {"match_method": "map", "num_predictions": 33, "num_ground_truth": 33, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 59.2659}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 175, "image": "8a_tire_2024-10-17_62_png_jpg.rf.da90fbf7f0527f341a28f165c3e83dac.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [146, 344, 187, 439], \"label\": \"tire size text\"},\n {\"box_2d\": [460, 56, 658, 96], \"label\": \"tire size text\"},\n {\"box_2d\": [457, 912, 651, 950], \"label\": \"tire size text\"}\n]\n```", "correct": false, "input_tokens": 1226, "output_tokens": 118, "elapsed_seconds": 22.30559416709002, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.4422442317008972, "attempts": 1, "retries": 0, "total_seconds": 22.8584}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 176, "image": "frame_0002_03_jpg.rf.dda0be95dbf94773efee5983feb50582.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [742, 461, 801, 493], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [750, 535, 808, 567], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [468, 330, 521, 359], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [737, 389, 793, 420], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [718, 320, 773, 350], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [592, 327, 646, 356], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [619, 543, 675, 574], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [490, 545, 547, 577], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [477, 399, 532, 430], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [613, 470, 671, 501], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [485, 473, 540, 504], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [607, 398, 663, 429], \"label\": \"soda bottle cap\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 444, "elapsed_seconds": 110.10050425003283, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 110.7001}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 177, "image": "f77_jpg.rf.82279850cbac861dc93376eb2c7be55d.jpg", "expected": "", "predicted": "```json\n[{\"box_2d\": [0, 56, 444, 241], \"label\": \"wildfire\"}, {\"box_2d\": [0, 745, 725, 1000], \"label\": \"wildfire\"}, {\"box_2d\": [153, 297, 198, 315], \"label\": \"wildfire\"}, {\"box_2d\": [491, 645, 521, 659], \"label\": \"wildfire\"}]```", "correct": false, "input_tokens": 1236, "output_tokens": 136, "elapsed_seconds": 47.30973770900164, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.20297029614448547, "attempts": 1, "retries": 0, "total_seconds": 47.4294}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 178, "image": "1219_48_jpg.rf.d6aecd0b221112666e45beae667e3572.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 8, 122, 130], \"label\": \"white king\"},\n {\"box_2d\": [4, 386, 125, 472], \"label\": \"white queen\"},\n {\"box_2d\": [17, 892, 117, 995], \"label\": \"white bishop\"},\n {\"box_2d\": [146, 387, 236, 476], \"label\": \"white bishop\"},\n {\"box_2d\": [280, 648, 350, 718], \"label\": \"white pawn\"},\n {\"box_2d\": [400, 276, 486, 366], \"label\": \"black king\"},\n {\"box_2d\": [399, 519, 479, 599], \"label\": \"white rook\"},\n {\"box_2d\": [400, 769, 481, 879], \"label\": \"black queen\"},\n {\"box_2d\": [498, 770, 574, 862], \"label\": \"black rook\"},\n {\"box_2d\": [523, 639, 600, 734], \"label\": \"black knight\"},\n {\"box_2d\": [515, 272, 596, 356], \"label\": \"white knight\"},\n {\"box_2d\": [534, 146, 613, 234], \"label\": \"black rook\"},\n {\"box_2d\": [637, 8, 714, 117], \"label\": \"black knight\"},\n {\"box_2d\": [649, 528, 728, 622], \"label\": \"white knight\"},\n {\"box_2d\": [666, 753, 738, 825], \"label\": \"black pawn\"},\n {\"box_2d\": [748, 254, 837, 343], \"label\": \"black bishop\"},\n {\"box_2d\": [869, 278, 986, 367], \"label\": \"black queen\"}\n]\n```", "correct": true, "input_tokens": 1259, "output_tokens": 598, "elapsed_seconds": 25.836614249972627, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 17, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 26.1034}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 179, "image": "f27_jpg.rf.b153b2c59a95b68f3f9edb924d42cee4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [56, 241, 459, 392], \"label\": \"wildfire\"},\n {\"box_2d\": [173, 599, 443, 725], \"label\": \"wildfire\"},\n {\"box_2d\": [652, 678, 742, 727], \"label\": \"wildfire\"},\n {\"box_2d\": [603, 181, 938, 391], \"label\": \"wildfire\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 151, "elapsed_seconds": 27.314296708093025, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 27.4409}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 180, "image": "img_461922717831528641_png.rf.c1eccbe6f38478b43fbba2e4cba33ac0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [58, 181, 169, 326], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [28, 321, 134, 452], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [67, 444, 175, 581], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [36, 577, 142, 709], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [80, 697, 185, 839], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [153, 170, 268, 319], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [122, 311, 229, 452], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [165, 442, 274, 581], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [129, 573, 234, 715], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [171, 697, 282, 848], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [269, 702, 385, 855], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [224, 572, 336, 718], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [264, 440, 377, 583], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [219, 304, 332, 451], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [254, 159, 375, 312], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [361, 146, 487, 306], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [321, 297, 441, 449], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [368, 434, 488, 586], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [325, 576, 444, 725], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [373, 709, 493, 868], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [484, 714, 608, 882], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [435, 574, 557, 731], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [480, 433, 601, 590], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [434, 291, 556, 446], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [476, 130, 602, 297], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [599, 113, 726, 289], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [552, 281, 675, 443], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [599, 430, 722, 591], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [551, 576, 673, 741], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [602, 718, 724, 902], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [723, 726, 855, 916], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [674, 574, 801, 749], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [722, 424, 857, 594], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [676, 270, 804, 438], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [725, 92, 863, 279], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [860, 77, 1000, 267], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [804, 257, 955, 432], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [855, 419, 1000, 594], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [801, 577, 951, 761], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [850, 742, 1000, 932], \"label\": \"empty portable gas cylinder\"}\n]\n```", "correct": false, "input_tokens": 1208, "output_tokens": 1488, "elapsed_seconds": 21.695549833006226, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 40, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.41560083627700806, "attempts": 1, "retries": 0, "total_seconds": 21.8134}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 181, "image": "20230113_134921_jpg.rf.98498c853848c0b93af6274d6758c4d5.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [520, 801, 536, 879], \"label\": \"crack\"}\n]\n```", "correct": false, "input_tokens": 1225, "output_tokens": 46, "elapsed_seconds": 4.152297417051159, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 4.1719}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 182, "image": "IMG_0618_jpeg.rf.efa7b9f1261718cff400e2cf104b3017.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [276, 461, 336, 526], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [357, 394, 429, 459], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [374, 240, 441, 307], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [498, 206, 588, 255], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [613, 243, 681, 326], \"label\": \"caramel corn jelly bean\"},\n {\"box_2d\": [617, 403, 712, 473], \"label\": \"peach jelly bean\"},\n {\"box_2d\": [485, 345, 574, 407], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [434, 522, 517, 582], \"label\": \"caramel corn jelly bean\"},\n {\"box_2d\": [606, 628, 712, 682], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [451, 694, 521, 773], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [344, 577, 419, 624], \"label\": \"mixed berry smoothie jelly bean\"}\n]\n```", "correct": true, "input_tokens": 1230, "output_tokens": 430, "elapsed_seconds": 9.881878999993205, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8341584205627441, "attempts": 1, "retries": 0, "total_seconds": 9.933}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 183, "image": "1668146875__jpg.rf.3051c36c0a756d3687be5c2fb0ad5141.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [572, 169, 622, 196], \"label\": \"five die\"},\n {\"box_2d\": [437, 217, 493, 250], \"label\": \"three die\"},\n {\"box_2d\": [229, 272, 289, 304], \"label\": \"six die\"},\n {\"box_2d\": [217, 296, 276, 329], \"label\": \"six die\"},\n {\"box_2d\": [270, 301, 326, 333], \"label\": \"five die\"},\n {\"box_2d\": [200, 347, 260, 381], \"label\": \"five die\"},\n {\"box_2d\": [97, 362, 159, 396], \"label\": \"six die\"},\n {\"box_2d\": [112, 405, 171, 437], \"label\": \"two die\"},\n {\"box_2d\": [182, 388, 240, 419], \"label\": \"two die\"},\n {\"box_2d\": [180, 433, 241, 467], \"label\": \"six die\"},\n {\"box_2d\": [281, 395, 331, 423], \"label\": \"two die\"},\n {\"box_2d\": [292, 371, 342, 400], \"label\": \"three die\"},\n {\"box_2d\": [298, 348, 347, 376], \"label\": \"six die\"},\n {\"box_2d\": [301, 325, 353, 351], \"label\": \"four die\"},\n {\"box_2d\": [341, 301, 389, 329], \"label\": \"five die\"},\n {\"box_2d\": [387, 311, 436, 340], \"label\": \"five die\"},\n {\"box_2d\": [348, 337, 397, 365], \"label\": \"five die\"},\n {\"box_2d\": [339, 366, 389, 395], \"label\": \"four die\"},\n {\"box_2d\": [411, 340, 467, 372], \"label\": \"three die\"},\n {\"box_2d\": [510, 389, 571, 421], \"label\": \"five die\"},\n {\"box_2d\": [588, 380, 643, 411], \"label\": \"two die\"},\n {\"box_2d\": [530, 450, 587, 482], \"label\": \"three die\"},\n {\"box_2d\": [411, 492, 463, 521], \"label\": \"five die\"},\n {\"box_2d\": [290, 515, 350, 549], \"label\": \"six die\"},\n {\"box_2d\": [360, 541, 416, 572], \"label\": \"two die\"},\n {\"box_2d\": [588, 531, 636, 557], \"label\": \"five die\"},\n {\"box_2d\": [639, 514, 694, 546], \"label\": \"two die\"},\n {\"box_2d\": [649, 471, 703, 502], \"label\": \"six die\"},\n {\"box_2d\": [682, 494, 740, 527], \"label\": \"six die\"},\n {\"box_2d\": [706, 441, 756, 470], \"label\": \"four die\"},\n {\"box_2d\": [757, 440, 804, 466], \"label\": \"five die\"},\n {\"box_2d\": [820, 425, 879, 458], \"label\": \"five die\"},\n {\"box_2d\": [844, 374, 899, 401], \"label\": \"five die\"},\n {\"box_2d\": [817, 314, 868, 342], \"label\": \"five die\"},\n {\"box_2d\": [767, 325, 819, 353], \"label\": \"six die\"},\n {\"box_2d\": [32, 673, 92, 707], \"label\": \"four die\"},\n {\"box_2d\": [148, 780, 198, 809], \"label\": \"three die\"},\n {\"box_2d\": [200, 764, 250, 793], \"label\": \"one die\"},\n {\"box_2d\": [254, 714, 314, 748], \"label\": \"three die\"},\n {\"box_2d\": [341, 683, 398, 715], \"label\": \"three die\"},\n {\"box_2d\": [398, 648, 444, 675], \"label\": \"four die\"},\n {\"box_2d\": [362, 773, 412, 802], \"label\": \"three die\"},\n {\"box_2d\": [393, 747, 451, 781], \"label\": \"one die\"},\n {\"box_2d\": [449, 756, 497, 785], \"label\": \"four die\"},\n {\"box_2d\": [497, 757, 543, 786], \"label\": \"four die\"},\n {\"box_2d\": [438, 807, 489, 839], \"label\": \"six die\"},\n {\"box_2d\": [666, 792, 722, 827], \"label\": \"three die\"}\n]\n```", "correct": false, "input_tokens": 1252, "output_tokens": 1654, "elapsed_seconds": 15.3405139161041, "metadata": {"match_method": "map", "num_predictions": 47, "num_ground_truth": 48, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6608679890632629, "attempts": 1, "retries": 0, "total_seconds": 15.4007}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 184, "image": "C440AC87-A6AC-47BA-9CB8-2E8D0B276501_jpg.rf.8b0f079f1f23f56b5c9934be046152df.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [793, 59, 884, 152], \"label\": \"pill\"},\n {\"box_2d\": [701, 161, 789, 248], \"label\": \"pill\"},\n {\"box_2d\": [780, 219, 871, 311], \"label\": \"pill\"},\n {\"box_2d\": [719, 321, 809, 408], \"label\": \"pill\"},\n {\"box_2d\": [689, 246, 777, 333], \"label\": \"pill\"},\n {\"box_2d\": [810, 479, 902, 567], \"label\": \"pill\"},\n {\"box_2d\": [722, 496, 811, 581], \"label\": \"pill\"},\n {\"box_2d\": [771, 571, 862, 658], \"label\": \"pill\"},\n {\"box_2d\": [703, 620, 792, 706], \"label\": \"pill\"},\n {\"box_2d\": [698, 703, 786, 789], \"label\": \"pill\"},\n {\"box_2d\": [693, 783, 781, 870], \"label\": \"pill\"},\n {\"box_2d\": [580, 678, 665, 762], \"label\": \"pill\"},\n {\"box_2d\": [587, 520, 670, 603], \"label\": \"pill\"},\n {\"box_2d\": [602, 437, 686, 521], \"label\": \"pill\"},\n {\"box_2d\": [573, 355, 656, 437], \"label\": \"pill\"},\n {\"box_2d\": [542, 283, 625, 366], \"label\": \"pill\"},\n {\"box_2d\": [465, 162, 547, 245], \"label\": \"pill\"},\n {\"box_2d\": [480, 239, 562, 321], \"label\": \"pill\"},\n {\"box_2d\": [473, 320, 554, 402], \"label\": \"pill\"},\n {\"box_2d\": [415, 276, 495, 357], \"label\": \"pill\"},\n {\"box_2d\": [326, 123, 405, 206], \"label\": \"pill\"},\n {\"box_2d\": [228, 167, 305, 246], \"label\": \"pill\"},\n {\"box_2d\": [163, 249, 238, 326], \"label\": \"pill\"},\n {\"box_2d\": [161, 369, 235, 443], \"label\": \"pill\"},\n {\"box_2d\": [243, 305, 319, 383], \"label\": \"pill\"},\n {\"box_2d\": [306, 273, 383, 352], \"label\": \"pill\"},\n {\"box_2d\": [357, 321, 435, 400], \"label\": \"pill\"},\n {\"box_2d\": [412, 363, 491, 442], \"label\": \"pill\"},\n {\"box_2d\": [353, 405, 431, 483], \"label\": \"pill\"},\n {\"box_2d\": [296, 456, 374, 531], \"label\": \"pill\"},\n {\"box_2d\": [290, 548, 365, 623], \"label\": \"pill\"},\n {\"box_2d\": [315, 615, 392, 692], \"label\": \"pill\"},\n {\"box_2d\": [306, 689, 383, 767], \"label\": \"pill\"},\n {\"box_2d\": [374, 703, 453, 785], \"label\": \"pill\"},\n {\"box_2d\": [430, 648, 509, 729], \"label\": \"pill\"},\n {\"box_2d\": [361, 544, 438, 622], \"label\": \"pill\"},\n {\"box_2d\": [429, 522, 509, 600], \"label\": \"pill\"},\n {\"box_2d\": [475, 583, 557, 663], \"label\": \"pill\"},\n {\"box_2d\": [508, 514, 588, 594], \"label\": \"pill\"},\n {\"box_2d\": [437, 434, 517, 512], \"label\": \"pill\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 1371, "elapsed_seconds": 31.094088249956258, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 40, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 31.7247}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 185, "image": "preannot3_62_png.rf.0c5f5d9500c1d4c579c64d746f68b358.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [757, 236, 780, 274], \"label\": \"tire spike normal\"},\n {\"box_2d\": [704, 307, 731, 349], \"label\": \"tire spike normal\"},\n {\"box_2d\": [613, 259, 642, 302], \"label\": \"tire spike normal\"},\n {\"box_2d\": [556, 319, 586, 362], \"label\": \"tire spike normal\"},\n {\"box_2d\": [437, 211, 470, 254], \"label\": \"tire spike normal\"},\n {\"box_2d\": [287, 234, 317, 278], \"label\": \"tire spike normal\"},\n {\"box_2d\": [230, 297, 261, 336], \"label\": \"tire spike normal\"},\n {\"box_2d\": [146, 231, 173, 268], \"label\": \"tire spike normal\"},\n {\"box_2d\": [86, 291, 110, 328], \"label\": \"tire spike normal\"},\n {\"box_2d\": [797, 667, 822, 704], \"label\": \"tire spike normal\"},\n {\"box_2d\": [705, 749, 732, 787], \"label\": \"tire spike normal\"},\n {\"box_2d\": [674, 630, 702, 667], \"label\": \"tire spike normal\"},\n {\"box_2d\": [565, 687, 597, 733], \"label\": \"tire spike normal\"},\n {\"box_2d\": [501, 646, 530, 686], \"label\": \"tire spike normal\"},\n {\"box_2d\": [390, 767, 419, 804], \"label\": \"tire spike normal\"},\n {\"box_2d\": [248, 697, 278, 735], \"label\": \"tire spike normal\"},\n {\"box_2d\": [176, 650, 203, 686], \"label\": \"tire spike normal\"},\n {\"box_2d\": [103, 686, 128, 725], \"label\": \"tire spike normal\"},\n {\"box_2d\": [67, 616, 90, 651], \"label\": \"tire spike normal\"},\n {\"box_2d\": [25, 646, 44, 677], \"label\": \"tire spike normal\"},\n {\"box_2d\": [19, 328, 39, 360], \"label\": \"tire spike normal\"},\n {\"box_2d\": [851, 718, 872, 750], \"label\": \"tire spike normal\"},\n {\"box_2d\": [897, 286, 916, 319], \"label\": \"tire spike normal\"},\n {\"box_2d\": [928, 636, 946, 666], \"label\": \"tire spike normal\"},\n {\"box_2d\": [938, 733, 954, 760], \"label\": \"tire spike normal\"},\n {\"box_2d\": [359, 198, 389, 232], \"label\": \"tire spike absent\"},\n {\"box_2d\": [317, 742, 344, 775], \"label\": \"tire spike absent\"}\n]\n```", "correct": false, "input_tokens": 1206, "output_tokens": 977, "elapsed_seconds": 19.63563491695095, "metadata": {"match_method": "map", "num_predictions": 27, "num_ground_truth": 32, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.04118811711668968, "attempts": 1, "retries": 0, "total_seconds": 19.7122}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 186, "image": "floorplan-windows-doors_10035_png.rf.4ea81a436186bba253c43df724f8ab26.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [779, 489, 899, 535], \"label\": \"door\"},\n {\"box_2d\": [751, 597, 777, 675], \"label\": \"window\"},\n {\"box_2d\": [751, 773, 777, 835], \"label\": \"window\"},\n {\"box_2d\": [750, 330, 777, 409], \"label\": \"window\"},\n {\"box_2d\": [597, 828, 658, 868], \"label\": \"door\"},\n {\"box_2d\": [540, 766, 615, 813], \"label\": \"door\"},\n {\"box_2d\": [560, 678, 629, 722], \"label\": \"door\"},\n {\"box_2d\": [396, 769, 463, 815], \"label\": \"door\"},\n {\"box_2d\": [324, 920, 415, 938], \"label\": \"window\"},\n {\"box_2d\": [617, 920, 691, 987], \"label\": \"door\"},\n {\"box_2d\": [219, 678, 286, 727], \"label\": \"door\"},\n {\"box_2d\": [8, 772, 34, 851], \"label\": \"window\"},\n {\"box_2d\": [8, 588, 34, 667], \"label\": \"window\"},\n {\"box_2d\": [8, 502, 34, 582], \"label\": \"window\"},\n {\"box_2d\": [7, 348, 34, 427], \"label\": \"window\"},\n {\"box_2d\": [266, 396, 333, 444], \"label\": \"door\"},\n {\"box_2d\": [288, 311, 349, 346], \"label\": \"door\"},\n {\"box_2d\": [457, 312, 519, 346], \"label\": \"door\"},\n {\"box_2d\": [384, 446, 452, 489], \"label\": \"door\"},\n {\"box_2d\": [472, 396, 541, 445], \"label\": \"door\"},\n {\"box_2d\": [216, 184, 305, 239], \"label\": \"door\"},\n {\"box_2d\": [7, 129, 34, 192], \"label\": \"window\"}\n]\n```", "correct": true, "input_tokens": 1245, "output_tokens": 745, "elapsed_seconds": 10.717432625009678, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9249809384346008, "attempts": 1, "retries": 0, "total_seconds": 10.7979}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 187, "image": "IMG_6647_jpeg_jpg.rf.c9080c42346e2e5efd9c896163bdce7e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [562, 260, 651, 463], \"label\": \"white poker chip\"},\n {\"box_2d\": [553, 266, 628, 467], \"label\": \"white poker chip\"},\n {\"box_2d\": [479, 265, 595, 470], \"label\": \"white poker chip\"},\n {\"box_2d\": [561, 470, 667, 677], \"label\": \"white poker chip\"},\n {\"box_2d\": [540, 470, 651, 676], \"label\": \"white poker chip\"},\n {\"box_2d\": [537, 477, 634, 677], \"label\": \"white poker chip\"},\n {\"box_2d\": [517, 477, 618, 696], \"label\": \"white poker chip\"},\n {\"box_2d\": [504, 483, 603, 696], \"label\": \"white poker chip\"},\n {\"box_2d\": [493, 486, 587, 701], \"label\": \"white poker chip\"},\n {\"box_2d\": [495, 492, 568, 712], \"label\": \"white poker chip\"},\n {\"box_2d\": [450, 486, 549, 712], \"label\": \"white poker chip\"},\n {\"box_2d\": [448, 498, 528, 720], \"label\": \"white poker chip\"},\n {\"box_2d\": [438, 499, 507, 721], \"label\": \"white poker chip\"},\n {\"box_2d\": [416, 498, 486, 724], \"label\": \"white poker chip\"},\n {\"box_2d\": [377, 496, 466, 723], \"label\": \"white poker chip\"},\n {\"box_2d\": [368, 514, 444, 742], \"label\": \"white poker chip\"},\n {\"box_2d\": [365, 520, 425, 747], \"label\": \"white poker chip\"},\n {\"box_2d\": [330, 512, 401, 746], \"label\": \"white poker chip\"},\n {\"box_2d\": [315, 517, 380, 755], \"label\": \"white poker chip\"},\n {\"box_2d\": [299, 526, 358, 766], \"label\": \"white poker chip\"},\n {\"box_2d\": [274, 515, 333, 758], \"label\": \"white poker chip\"},\n {\"box_2d\": [254, 511, 307, 750], \"label\": \"white poker chip\"},\n {\"box_2d\": [219, 505, 282, 747], \"label\": \"white poker chip\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 840, "elapsed_seconds": 8.825205084052868, "metadata": {"match_method": "map", "num_predictions": 23, "num_ground_truth": 24, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8247955441474915, "attempts": 1, "retries": 0, "total_seconds": 8.8513}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 188, "image": "IMG_20220316_141641_jpg.rf.2b5b442678a6dd37dce39460868771a9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [546, 344, 960, 695], \"label\": \"king of spades\"},\n {\"box_2d\": [192, 98, 581, 421], \"label\": \"jack of spades\"},\n {\"box_2d\": [146, 567, 529, 868], \"label\": \"queen of spades\"},\n {\"box_2d\": [140, 333, 526, 655], \"label\": \"ten of spades\"},\n {\"box_2d\": [447, 30, 882, 398], \"label\": \"nine of spades\"}\n]\n```", "correct": true, "input_tokens": 1218, "output_tokens": 190, "elapsed_seconds": 9.035619457950816, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 9.0669}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 189, "image": "img_460975841708081304_png.rf.71eaf0b919ddab2a648aa76c72cc4a00.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [160, 147, 304, 249], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [178, 250, 314, 349], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [189, 353, 309, 444], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [202, 446, 323, 536], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [217, 536, 336, 629], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [232, 624, 349, 718], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [242, 710, 360, 804], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [242, 119, 412, 236], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [264, 237, 425, 344], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [278, 345, 405, 443], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [287, 447, 421, 545], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [300, 543, 440, 643], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [310, 636, 446, 740], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [322, 728, 456, 834], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [347, 89, 535, 218], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [364, 217, 548, 335], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [376, 337, 526, 444], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [387, 446, 541, 553], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [397, 551, 558, 660], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [410, 653, 560, 767], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [418, 754, 566, 868], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [468, 46, 678, 194], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [485, 191, 681, 323], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [495, 326, 663, 443], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [503, 446, 681, 565], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [509, 560, 690, 683], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [521, 672, 694, 796], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [527, 780, 696, 908], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [618, 0, 859, 171], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [637, 163, 857, 311], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [639, 312, 845, 444], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [643, 447, 848, 578], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [647, 574, 848, 710], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [659, 695, 855, 837], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [661, 816, 853, 956], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [815, 0, 1000, 134], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [821, 124, 1000, 293], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [820, 296, 1000, 443], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [821, 446, 1000, 595], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [819, 588, 1000, 740], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [825, 722, 1000, 880], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [827, 851, 1000, 1000], \"label\": \"full portable gas cylinder\"}\n]\n```", "correct": true, "input_tokens": 1203, "output_tokens": 1568, "elapsed_seconds": 19.029034583014436, "metadata": {"match_method": "map", "num_predictions": 42, "num_ground_truth": 42, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 19.143}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 190, "image": "0000242_03668_d_0000012_jpg.rf.06096e6f084464419e172f0d35ca4d48.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [777, 157, 962, 229], \"label\": \"car\"},\n {\"box_2d\": [451, 319, 548, 359], \"label\": \"car\"},\n {\"box_2d\": [448, 487, 529, 520], \"label\": \"car\"},\n {\"box_2d\": [603, 622, 998, 773], \"label\": \"bus\"},\n {\"box_2d\": [553, 690, 629, 738], \"label\": \"car\"},\n {\"box_2d\": [307, 241, 366, 302], \"label\": \"car\"},\n {\"box_2d\": [353, 110, 405, 187], \"label\": \"car\"},\n {\"box_2d\": [392, 41, 437, 94], \"label\": \"tricycle\"},\n {\"box_2d\": [411, 177, 453, 215], \"label\": \"motorcycle\"},\n {\"box_2d\": [392, 106, 433, 134], \"label\": \"motorcycle\"},\n {\"box_2d\": [407, 189, 442, 204], \"label\": \"person\"},\n {\"box_2d\": [405, 178, 442, 189], \"label\": \"person\"},\n {\"box_2d\": [274, 59, 333, 104], \"label\": \"van\"},\n {\"box_2d\": [224, 307, 287, 339], \"label\": \"car\"},\n {\"box_2d\": [248, 510, 301, 538], \"label\": \"car\"},\n {\"box_2d\": [133, 543, 175, 563], \"label\": \"car\"},\n {\"box_2d\": [309, 713, 357, 779], \"label\": \"car\"},\n {\"box_2d\": [374, 862, 429, 905], \"label\": \"car\"},\n {\"box_2d\": [31, 481, 61, 497], \"label\": \"car\"},\n {\"box_2d\": [349, 0, 401, 18], \"label\": \"car\"},\n {\"box_2d\": [388, 67, 422, 79], \"label\": \"person\"},\n {\"box_2d\": [388, 113, 422, 127], \"label\": \"person\"},\n {\"box_2d\": [277, 46, 309, 57], \"label\": \"person\"},\n {\"box_2d\": [274, 863, 309, 875], \"label\": \"person\"}\n]\n```", "correct": false, "input_tokens": 1253, "output_tokens": 817, "elapsed_seconds": 10.377762958058156, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 41, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.39750638604164124, "attempts": 1, "retries": 0, "total_seconds": 10.4115}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 191, "image": "DJI_20230529111835_0160_T_JPG_jpg.rf.cb5b9a9d87fdc7c9ff407eb5530abb88.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [92, 608, 192, 653], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [100, 530, 195, 570], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [100, 488, 197, 531], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [103, 447, 198, 491], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [361, 383, 456, 427], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [452, 508, 545, 550], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [447, 588, 542, 631], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [425, 962, 520, 1000], \"label\": \"solar panel hot spot\"}\n]\n```", "correct": false, "input_tokens": 1228, "output_tokens": 308, "elapsed_seconds": 14.959405625006184, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 14.982}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 192, "image": "oil-tank-detection_oiltank_72_jpg.rf.bfd5af54297ea9f409419db50cd04705.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [238, 281, 353, 412], \"label\": \"oil tank\"},\n {\"box_2d\": [347, 340, 466, 467], \"label\": \"oil tank\"},\n {\"box_2d\": [347, 462, 467, 589], \"label\": \"oil tank\"},\n {\"box_2d\": [468, 400, 588, 529], \"label\": \"oil tank\"},\n {\"box_2d\": [592, 461, 718, 594], \"label\": \"oil tank\"},\n {\"box_2d\": [686, 238, 818, 376], \"label\": \"oil tank\"},\n {\"box_2d\": [572, 184, 695, 319], \"label\": \"oil tank\"},\n {\"box_2d\": [465, 138, 581, 267], \"label\": \"oil tank\"},\n {\"box_2d\": [553, 0, 672, 128], \"label\": \"oil tank\"},\n {\"box_2d\": [666, 40, 792, 177], \"label\": \"oil tank\"},\n {\"box_2d\": [786, 90, 916, 229], \"label\": \"oil tank\"}\n]\n```", "correct": true, "input_tokens": 1217, "output_tokens": 393, "elapsed_seconds": 10.46488279197365, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 10.5461}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 193, "image": "fall-detection_11_mp4-445_jpg.rf.ec9538d8514a0521c6f155cde47497f3.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [500, 616, 567, 709], \"label\": \"fallen person\"},\n {\"box_2d\": [489, 825, 536, 945], \"label\": \"fallen person\"},\n {\"box_2d\": [686, 222, 781, 361], \"label\": \"fallen person\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 117, "elapsed_seconds": 7.173838249989785, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 7.19}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 194, "image": "IMG_0619_jpeg.rf.c3c23da72f8dbeb2815ccc4646178889.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [266, 309, 349, 376], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [262, 479, 331, 541], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [256, 639, 323, 701], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [321, 544, 409, 609], \"label\": \"caramel corn jelly bean\"},\n {\"box_2d\": [349, 362, 447, 423], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [453, 495, 569, 577], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [349, 749, 433, 837], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [485, 677, 574, 788], \"label\": \"peach jelly bean\"},\n {\"box_2d\": [600, 579, 750, 674], \"label\": \"caramel corn jelly bean\"},\n {\"box_2d\": [622, 344, 755, 477], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [481, 185, 610, 277], \"label\": \"tutti-fruitti jelly bean\"}\n]\n```", "correct": true, "input_tokens": 1230, "output_tokens": 430, "elapsed_seconds": 10.08597970905248, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9174917340278625, "attempts": 1, "retries": 0, "total_seconds": 10.1394}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 195, "image": "GP010243_JPG_jpg.rf.64d32b7106e99e9f954d84ee868d21ec.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [584, 482, 616, 684], \"label\": \"carrot\"},\n {\"box_2d\": [612, 384, 728, 444], \"label\": \"carrot\"},\n {\"box_2d\": [433, 344, 588, 392], \"label\": \"carrot\"},\n {\"box_2d\": [528, 344, 577, 469], \"label\": \"carrot\"},\n {\"box_2d\": [373, 392, 541, 416], \"label\": \"carrot\"},\n {\"box_2d\": [283, 344, 377, 452], \"label\": \"carrot\"},\n {\"box_2d\": [167, 375, 311, 417], \"label\": \"carrot\"},\n {\"box_2d\": [162, 391, 300, 441], \"label\": \"carrot\"},\n {\"box_2d\": [92, 498, 180, 611], \"label\": \"carrot\"},\n {\"box_2d\": [153, 527, 219, 680], \"label\": \"carrot\"},\n {\"box_2d\": [136, 475, 319, 570], \"label\": \"carrot\"},\n {\"box_2d\": [259, 473, 405, 608], \"label\": \"carrot\"},\n {\"box_2d\": [291, 484, 422, 508], \"label\": \"carrot\"},\n {\"box_2d\": [270, 452, 473, 488], \"label\": \"carrot\"},\n {\"box_2d\": [344, 409, 517, 439], \"label\": \"carrot\"},\n {\"box_2d\": [470, 419, 495, 575], \"label\": \"carrot\"},\n {\"box_2d\": [397, 489, 455, 631], \"label\": \"carrot\"},\n {\"box_2d\": [159, 622, 294, 683], \"label\": \"carrot\"},\n {\"box_2d\": [219, 614, 362, 691], \"label\": \"carrot\"},\n {\"box_2d\": [230, 617, 389, 705], \"label\": \"carrot\"},\n {\"box_2d\": [280, 680, 420, 709], \"label\": \"carrot\"},\n {\"box_2d\": [375, 559, 484, 681], \"label\": \"carrot\"},\n {\"box_2d\": [347, 594, 511, 623], \"label\": \"carrot\"},\n {\"box_2d\": [500, 423, 536, 569], \"label\": \"carrot\"},\n {\"box_2d\": [94, 445, 223, 495], \"label\": \"carrot\"},\n {\"box_2d\": [61, 355, 253, 386], \"label\": \"carrot\"},\n {\"box_2d\": [625, 384, 755, 544], \"label\": \"carrot\"},\n {\"box_2d\": [609, 472, 648, 650], \"label\": \"carrot\"},\n {\"box_2d\": [91, 386, 217, 459], \"label\": \"carrot\"},\n {\"box_2d\": [131, 564, 331, 606], \"label\": \"carrot\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 1028, "elapsed_seconds": 12.612075667013414, "metadata": {"match_method": "map", "num_predictions": 30, "num_ground_truth": 31, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9603960514068604, "attempts": 1, "retries": 0, "total_seconds": 12.6395}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 196, "image": "AF6880-9_2025_NCPT-169_JPG_jpg.rf.ea0bce7069f12d5c1ba29710a0998228.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [58, 191, 146, 228], \"label\": \"potato\"},\n {\"box_2d\": [17, 240, 81, 267], \"label\": \"potato\"},\n {\"box_2d\": [82, 239, 147, 267], \"label\": \"potato\"},\n {\"box_2d\": [149, 233, 222, 267], \"label\": \"potato\"},\n {\"box_2d\": [32, 287, 90, 308], \"label\": \"potato\"},\n {\"box_2d\": [61, 321, 155, 357], \"label\": \"potato\"},\n {\"box_2d\": [252, 275, 345, 311], \"label\": \"potato\"},\n {\"box_2d\": [401, 235, 459, 261], \"label\": \"potato\"},\n {\"box_2d\": [430, 277, 518, 309], \"label\": \"potato\"},\n {\"box_2d\": [324, 322, 424, 360], \"label\": \"potato\"},\n {\"box_2d\": [9, 372, 87, 403], \"label\": \"potato\"},\n {\"box_2d\": [94, 369, 161, 400], \"label\": \"potato\"},\n {\"box_2d\": [163, 371, 234, 398], \"label\": \"potato\"},\n {\"box_2d\": [228, 362, 278, 383], \"label\": \"potato\"},\n {\"box_2d\": [278, 359, 389, 403], \"label\": \"potato\"},\n {\"box_2d\": [391, 366, 471, 397], \"label\": \"potato\"},\n {\"box_2d\": [454, 321, 532, 349], \"label\": \"potato\"},\n {\"box_2d\": [527, 276, 616, 312], \"label\": \"potato\"},\n {\"box_2d\": [672, 232, 749, 262], \"label\": \"potato\"},\n {\"box_2d\": [644, 273, 726, 307], \"label\": \"potato\"},\n {\"box_2d\": [729, 276, 804, 303], \"label\": \"potato\"},\n {\"box_2d\": [591, 317, 670, 351], \"label\": \"potato\"},\n {\"box_2d\": [921, 314, 1000, 346], \"label\": \"potato\"},\n {\"box_2d\": [661, 365, 728, 393], \"label\": \"potato\"},\n {\"box_2d\": [729, 356, 825, 398], \"label\": \"potato\"},\n {\"box_2d\": [828, 354, 927, 393], \"label\": \"potato\"},\n {\"box_2d\": [927, 360, 1000, 397], \"label\": \"potato\"},\n {\"box_2d\": [865, 398, 941, 434], \"label\": \"potato\"},\n {\"box_2d\": [941, 406, 1000, 434], \"label\": \"potato\"},\n {\"box_2d\": [658, 402, 746, 440], \"label\": \"potato\"},\n {\"box_2d\": [473, 361, 574, 399], \"label\": \"potato\"},\n {\"box_2d\": [506, 402, 611, 438], \"label\": \"potato\"},\n {\"box_2d\": [401, 401, 495, 440], \"label\": \"potato\"},\n {\"box_2d\": [343, 413, 395, 437], \"label\": \"potato\"},\n {\"box_2d\": [249, 411, 342, 445], \"label\": \"potato\"},\n {\"box_2d\": [143, 410, 248, 449], \"label\": \"potato\"},\n {\"box_2d\": [74, 413, 143, 443], \"label\": \"potato\"},\n {\"box_2d\": [6, 455, 106, 498], \"label\": \"potato\"},\n {\"box_2d\": [112, 454, 204, 490], \"label\": \"potato\"},\n {\"box_2d\": [205, 453, 290, 490], \"label\": \"potato\"},\n {\"box_2d\": [290, 447, 363, 479], \"label\": \"potato\"},\n {\"box_2d\": [365, 449, 462, 489], \"label\": \"potato\"},\n {\"box_2d\": [517, 452, 588, 483], \"label\": \"potato\"},\n {\"box_2d\": [608, 447, 693, 484], \"label\": \"potato\"},\n {\"box_2d\": [488, 493, 597, 540], \"label\": \"potato\"},\n {\"box_2d\": [766, 489, 856, 529], \"label\": \"potato\"},\n {\"box_2d\": [859, 493, 932, 521], \"label\": \"potato\"},\n {\"box_2d\": [933, 491, 1000, 524], \"label\": \"potato\"},\n {\"box_2d\": [280, 500, 377, 537], \"label\": \"potato\"},\n {\"box_2d\": [213, 504, 278, 529], \"label\": \"potato\"},\n {\"box_2d\": [137, 502, 211, 532], \"label\": \"potato\"},\n {\"box_2d\": [52, 502, 134, 536], \"label\": \"potato\"},\n {\"box_2d\": [228, 543, 315, 574], \"label\": \"potato\"},\n {\"box_2d\": [388, 537, 482, 580], \"label\": \"potato\"},\n {\"box_2d\": [562, 586, 632, 612], \"label\": \"potato\"},\n {\"box_2d\": [637, 582, 728, 611], \"label\": \"potato\"},\n {\"box_2d\": [237, 582, 350, 620], \"label\": \"potato\"},\n {\"box_2d\": [78, 587, 169, 621], \"label\": \"potato\"},\n {\"box_2d\": [6, 634, 94, 664], \"label\": \"potato\"},\n {\"box_2d\": [93, 634, 175, 670], \"label\": \"potato\"},\n {\"box_2d\": [176, 635, 234, 660], \"label\": \"potato\"},\n {\"box_2d\": [193, 672, 293, 707], \"label\": \"potato\"},\n {\"box_2d\": [422, 671, 514, 703], \"label\": \"potato\"},\n {\"box_2d\": [571, 670, 631, 695], \"label\": \"potato\"},\n {\"box_2d\": [824, 665, 913, 698], \"label\": \"potato\"},\n {\"box_2d\": [579, 753, 681, 790], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 2240, "elapsed_seconds": 43.89532920799684, "metadata": {"match_method": "map", "num_predictions": 66, "num_ground_truth": 67, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9801980257034302, "attempts": 1, "retries": 0, "total_seconds": 44.6088}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 197, "image": "frame_0086_jpg.rf.5ae0e80356e2c5bb993a052e5023c7f1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [119, 329, 152, 350], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [32, 342, 65, 362], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [31, 396, 65, 417], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [35, 452, 70, 474], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [41, 508, 76, 529], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [115, 384, 154, 406], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [121, 441, 158, 464], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [126, 499, 165, 523], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [653, 300, 700, 325], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [765, 297, 813, 320], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [880, 295, 926, 317], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [886, 355, 933, 378], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [900, 419, 945, 442], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [914, 483, 959, 507], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [796, 487, 845, 511], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [682, 489, 731, 514], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [669, 424, 718, 450], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [658, 360, 708, 386], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [771, 357, 821, 381], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [782, 422, 833, 447], \"label\": \"soda bottle cap\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 724, "elapsed_seconds": 34.037191958050244, "metadata": {"match_method": "map", "num_predictions": 20, "num_ground_truth": 20, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 34.6075}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 198, "image": "image_147_png_jpg.rf.fd3e0f5032b1ae386c027b1058ac751a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [112, 667, 405, 895], \"label\": \"tire size text\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 48, "elapsed_seconds": 20.410169374896213, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5049504637718201, "attempts": 1, "retries": 0, "total_seconds": 20.8299}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 199, "image": "fabric-defect_1080_jpg.rf.77a4ab03e25cfeeaaa1f6bbdcb3e7742.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [565, 489, 672, 743], \"label\": \"fabric cut\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 47, "elapsed_seconds": 4.124847542028874, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 4.1369}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 200, "image": "oil-tank-detection_oiltank_137_jpg.rf.be33343bf10652832014b855d080a80c.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [77, 462, 223, 583], \"label\": \"oil tank\"},\n {\"box_2d\": [92, 597, 232, 725], \"label\": \"oil tank\"},\n {\"box_2d\": [238, 456, 376, 581], \"label\": \"oil tank\"},\n {\"box_2d\": [243, 595, 384, 718], \"label\": \"oil tank\"},\n {\"box_2d\": [393, 449, 534, 574], \"label\": \"oil tank\"},\n {\"box_2d\": [401, 590, 545, 714], \"label\": \"oil tank\"},\n {\"box_2d\": [545, 453, 680, 560], \"label\": \"oil tank\"},\n {\"box_2d\": [556, 595, 687, 705], \"label\": \"oil tank\"},\n {\"box_2d\": [363, 732, 487, 835], \"label\": \"oil tank\"},\n {\"box_2d\": [230, 732, 358, 836], \"label\": \"oil tank\"},\n {\"box_2d\": [99, 735, 221, 839], \"label\": \"oil tank\"},\n {\"box_2d\": [112, 853, 189, 919], \"label\": \"oil tank\"},\n {\"box_2d\": [191, 853, 272, 919], \"label\": \"oil tank\"},\n {\"box_2d\": [273, 853, 350, 919], \"label\": \"oil tank\"},\n {\"box_2d\": [356, 855, 434, 922], \"label\": \"oil tank\"},\n {\"box_2d\": [442, 850, 524, 917], \"label\": \"oil tank\"},\n {\"box_2d\": [588, 848, 667, 915], \"label\": \"oil tank\"}\n]\n```", "correct": true, "input_tokens": 1217, "output_tokens": 604, "elapsed_seconds": 10.037119667045772, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 17, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 10.1123}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 201, "image": "basketball-player-detection_boston-celtics-new-york-knicks-game-1-q1-05-13-05-09-0000_png.rf.31fd4573143b8c82031c8804c4754e40.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [244, 654, 453, 697], \"label\": \"player\"},\n {\"box_2d\": [298, 667, 319, 681], \"label\": \"jersey number\"},\n {\"box_2d\": [174, 665, 355, 703], \"label\": \"player\"},\n {\"box_2d\": [191, 539, 378, 591], \"label\": \"player\"},\n {\"box_2d\": [230, 560, 261, 569], \"label\": \"jersey number\"},\n {\"box_2d\": [140, 529, 314, 564], \"label\": \"player\"},\n {\"box_2d\": [306, 294, 490, 357], \"label\": \"player\"},\n {\"box_2d\": [332, 317, 353, 336], \"label\": \"jersey number\"},\n {\"box_2d\": [397, 224, 651, 281], \"label\": \"player\"},\n {\"box_2d\": [461, 242, 488, 253], \"label\": \"jersey number\"},\n {\"box_2d\": [357, 130, 610, 181], \"label\": \"player\"},\n {\"box_2d\": [404, 141, 434, 152], \"label\": \"jersey number\"},\n {\"box_2d\": [290, 156, 457, 211], \"label\": \"player in possession\"},\n {\"box_2d\": [324, 198, 351, 213], \"label\": \"basketball\"},\n {\"box_2d\": [224, 6, 399, 69], \"label\": \"referee\"},\n {\"box_2d\": [200, 744, 379, 786], \"label\": \"referee\"},\n {\"box_2d\": [194, 711, 255, 741], \"label\": \"basket rim\"},\n {\"box_2d\": [480, 483, 690, 530], \"label\": \"player\"},\n {\"box_2d\": [579, 466, 807, 531], \"label\": \"player\"},\n {\"box_2d\": [676, 629, 912, 681], \"label\": \"referee\"},\n {\"box_2d\": [724, 648, 750, 667], \"label\": \"jersey number\"}\n]\n```", "correct": false, "input_tokens": 1250, "output_tokens": 735, "elapsed_seconds": 11.719031500048004, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 23, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7382838129997253, "attempts": 1, "retries": 0, "total_seconds": 11.8527}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 202, "image": "z4517190790071_c6f2ede212488ea95f254bbe631608fc_jpg.rf.f7f6570fcaaac50f965457b35ee9278d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [548, 25, 686, 209], \"label\": \"50 poker chip\"},\n {\"box_2d\": [361, 100, 485, 275], \"label\": \"100 poker chip\"},\n {\"box_2d\": [457, 185, 586, 366], \"label\": \"10 poker chip\"},\n {\"box_2d\": [280, 239, 396, 405], \"label\": \"20 poker chip\"},\n {\"box_2d\": [157, 349, 263, 506], \"label\": \"10 poker chip\"},\n {\"box_2d\": [228, 587, 341, 753], \"label\": \"50 poker chip\"},\n {\"box_2d\": [291, 439, 409, 606], \"label\": \"20 poker chip\"},\n {\"box_2d\": [420, 357, 546, 530], \"label\": \"20 poker chip\"},\n {\"box_2d\": [572, 245, 715, 431], \"label\": \"20 poker chip\"},\n {\"box_2d\": [525, 456, 663, 639], \"label\": \"20 poker chip\"},\n {\"box_2d\": [425, 606, 553, 785], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [343, 770, 466, 948], \"label\": \"5000 poker chip\"},\n {\"box_2d\": [548, 696, 689, 888], \"label\": \"500 poker chip\"},\n {\"box_2d\": [692, 600, 848, 800], \"label\": \"50 poker chip\"},\n {\"box_2d\": [704, 395, 862, 593], \"label\": \"50 poker chip\"}\n]\n```", "correct": true, "input_tokens": 1246, "output_tokens": 572, "elapsed_seconds": 20.424114916007966, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 20.7203}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 203, "image": "0000272_05500_d_0000012_jpg.rf.4ba2cfdc69b70f306855d444db49f509.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [771, 353, 851, 370], \"label\": \"person\"},\n {\"box_2d\": [715, 404, 780, 419], \"label\": \"person\"},\n {\"box_2d\": [749, 403, 799, 418], \"label\": \"bike\"},\n {\"box_2d\": [866, 452, 999, 519], \"label\": \"car\"},\n {\"box_2d\": [592, 476, 742, 526], \"label\": \"car\"},\n {\"box_2d\": [617, 581, 732, 646], \"label\": \"car\"},\n {\"box_2d\": [423, 480, 519, 520], \"label\": \"car\"},\n {\"box_2d\": [283, 487, 360, 521], \"label\": \"car\"},\n {\"box_2d\": [232, 528, 283, 557], \"label\": \"car\"},\n {\"box_2d\": [174, 586, 220, 613], \"label\": \"car\"},\n {\"box_2d\": [491, 672, 549, 691], \"label\": \"person\"},\n {\"box_2d\": [419, 412, 474, 427], \"label\": \"person\"},\n {\"box_2d\": [186, 484, 250, 506], \"label\": \"van\"},\n {\"box_2d\": [259, 567, 319, 587], \"label\": \"tricycle\"},\n {\"box_2d\": [133, 449, 169, 456], \"label\": \"person\"},\n {\"box_2d\": [202, 461, 240, 470], \"label\": \"person\"},\n {\"box_2d\": [219, 461, 244, 470], \"label\": \"bike\"},\n {\"box_2d\": [336, 608, 375, 622], \"label\": \"person\"},\n {\"box_2d\": [357, 607, 383, 620], \"label\": \"motorcycle\"},\n {\"box_2d\": [426, 846, 462, 868], \"label\": \"motorcycle\"},\n {\"box_2d\": [27, 520, 57, 535], \"label\": \"car\"},\n {\"box_2d\": [38, 560, 74, 575], \"label\": \"car\"},\n {\"box_2d\": [77, 563, 108, 580], \"label\": \"car\"},\n {\"box_2d\": [117, 425, 160, 441], \"label\": \"car\"},\n {\"box_2d\": [335, 383, 395, 403], \"label\": \"awning tricycle\"},\n {\"box_2d\": [294, 388, 345, 404], \"label\": \"awning tricycle\"},\n {\"box_2d\": [66, 427, 120, 447], \"label\": \"truck\"},\n {\"box_2d\": [253, 403, 297, 419], \"label\": \"tricycle\"},\n {\"box_2d\": [189, 396, 224, 429], \"label\": \"car\"},\n {\"box_2d\": [750, 29, 833, 82], \"label\": \"car\"}\n]\n```", "correct": false, "input_tokens": 1251, "output_tokens": 1028, "elapsed_seconds": 15.333903040969744, "metadata": {"match_method": "map", "num_predictions": 30, "num_ground_truth": 48, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3110148310661316, "attempts": 1, "retries": 0, "total_seconds": 15.4016}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 204, "image": "IMG_20251126_160326_jpg.rf.31a216199c4280d746f5865a68a63ce2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 476, 198, 554], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [0, 629, 179, 710], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [686, 33, 785, 104], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [660, 118, 950, 194], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [680, 241, 770, 311], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [654, 309, 770, 385], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [671, 381, 767, 449], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [666, 463, 762, 530], \"label\": \"white standard price tag\"},\n {\"box_2d\": [636, 591, 922, 667], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [657, 688, 753, 758], \"label\": \"white standard price tag\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 377, "elapsed_seconds": 14.678678750060499, "metadata": {"match_method": "map", "num_predictions": 10, "num_ground_truth": 10, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 15.1103}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 205, "image": "54_jpg.rf.3f4031b98a1a0622e63a0c84142db646.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [50, 111, 119, 350], \"label\": \"blood sample tube\"},\n {\"box_2d\": [41, 294, 323, 448], \"label\": \"blood sample tube\"},\n {\"box_2d\": [47, 452, 236, 675], \"label\": \"blood sample tube\"},\n {\"box_2d\": [17, 544, 92, 786], \"label\": \"blood sample tube\"},\n {\"box_2d\": [72, 650, 380, 789], \"label\": \"blood sample tube\"},\n {\"box_2d\": [50, 783, 377, 839], \"label\": \"blood sample tube\"},\n {\"box_2d\": [155, 827, 483, 880], \"label\": \"blood sample tube\"},\n {\"box_2d\": [191, 559, 461, 738], \"label\": \"blood sample tube\"},\n {\"box_2d\": [231, 642, 508, 825], \"label\": \"blood sample tube\"},\n {\"box_2d\": [336, 472, 612, 639], \"label\": \"blood sample tube\"},\n {\"box_2d\": [423, 617, 608, 850], \"label\": \"blood sample tube\"},\n {\"box_2d\": [509, 647, 692, 888], \"label\": \"blood sample tube\"},\n {\"box_2d\": [542, 553, 725, 786], \"label\": \"blood sample tube\"},\n {\"box_2d\": [678, 417, 744, 661], \"label\": \"blood sample tube\"},\n {\"box_2d\": [411, 375, 711, 517], \"label\": \"blood sample tube\"},\n {\"box_2d\": [295, 370, 598, 497], \"label\": \"blood sample tube\"},\n {\"box_2d\": [377, 305, 684, 428], \"label\": \"blood sample tube\"},\n {\"box_2d\": [173, 319, 420, 516], \"label\": \"blood sample tube\"},\n {\"box_2d\": [308, 223, 631, 277], \"label\": \"blood sample tube\"},\n {\"box_2d\": [400, 108, 697, 245], \"label\": \"blood sample tube\"},\n {\"box_2d\": [689, 117, 750, 361], \"label\": \"blood sample tube\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 761, "elapsed_seconds": 7.524813332944177, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 21, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 7.5552}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 206, "image": "car-part-detection_Car-damages-100_png_jpg.rf.662e4c271efc89eea96c10e14886a134.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [228, 344, 360, 535], \"label\": \"front window\"},\n {\"box_2d\": [228, 549, 353, 748], \"label\": \"back window\"},\n {\"box_2d\": [221, 524, 591, 766], \"label\": \"back door\"},\n {\"box_2d\": [224, 299, 579, 541], \"label\": \"front door\"},\n {\"box_2d\": [315, 322, 362, 343], \"label\": \"mirror\"},\n {\"box_2d\": [369, 879, 435, 954], \"label\": \"tail light\"},\n {\"box_2d\": [391, 118, 435, 162], \"label\": \"headlight\"},\n {\"box_2d\": [329, 134, 398, 286], \"label\": \"hood\"},\n {\"box_2d\": [433, 838, 607, 962], \"label\": \"back bumper\"},\n {\"box_2d\": [414, 102, 576, 179], \"label\": \"front bumper\"},\n {\"box_2d\": [235, 736, 336, 890], \"label\": \"back windshield\"},\n {\"box_2d\": [231, 292, 336, 432], \"label\": \"windshield\"}\n]\n```", "correct": false, "input_tokens": 1273, "output_tokens": 430, "elapsed_seconds": 5.822682917001657, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 13, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7499998807907104, "attempts": 1, "retries": 0, "total_seconds": 5.841}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 207, "image": "11_jpeg_jpg.rf.39329fe23320cf7bc33af6b9a57582d1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [77, 259, 179, 340], \"label\": \"potato\"},\n {\"box_2d\": [88, 645, 181, 738], \"label\": \"potato\"},\n {\"box_2d\": [324, 981, 404, 1000], \"label\": \"potato\"},\n {\"box_2d\": [298, 35, 422, 134], \"label\": \"potato\"},\n {\"box_2d\": [299, 346, 389, 434], \"label\": \"potato\"},\n {\"box_2d\": [489, 405, 591, 498], \"label\": \"potato\"},\n {\"box_2d\": [498, 200, 603, 307], \"label\": \"potato\"},\n {\"box_2d\": [529, 229, 659, 317], \"label\": \"potato\"},\n {\"box_2d\": [504, 619, 593, 701], \"label\": \"potato\"},\n {\"box_2d\": [504, 789, 601, 878], \"label\": \"potato\"},\n {\"box_2d\": [652, 511, 818, 621], \"label\": \"potato\"},\n {\"box_2d\": [712, 703, 810, 782], \"label\": \"potato\"},\n {\"box_2d\": [704, 814, 807, 882], \"label\": \"potato\"},\n {\"box_2d\": [900, 744, 1000, 839], \"label\": \"potato\"},\n {\"box_2d\": [916, 316, 1000, 421], \"label\": \"potato\"},\n {\"box_2d\": [717, 1, 807, 33], \"label\": \"potato\"},\n {\"box_2d\": [699, 323, 827, 434], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1240, "output_tokens": 587, "elapsed_seconds": 7.783754125004634, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9668025374412537, "attempts": 1, "retries": 0, "total_seconds": 7.8259}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 208, "image": "oil-tank-detection_oiltank_3_jpg.rf.be0eb144cee15c2f85755ead464dc286.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [105, 74, 232, 174], \"label\": \"oil tank\"},\n {\"box_2d\": [283, 74, 417, 175], \"label\": \"oil tank\"},\n {\"box_2d\": [99, 231, 229, 330], \"label\": \"oil tank\"},\n {\"box_2d\": [278, 233, 410, 333], \"label\": \"oil tank\"},\n {\"box_2d\": [92, 459, 217, 560], \"label\": \"oil tank\"},\n {\"box_2d\": [270, 464, 401, 565], \"label\": \"oil tank\"},\n {\"box_2d\": [86, 616, 211, 715], \"label\": \"oil tank\"},\n {\"box_2d\": [264, 622, 396, 723], \"label\": \"oil tank\"},\n {\"box_2d\": [540, 134, 629, 200], \"label\": \"oil tank\"},\n {\"box_2d\": [537, 228, 625, 293], \"label\": \"oil tank\"}\n]\n```", "correct": true, "input_tokens": 1217, "output_tokens": 357, "elapsed_seconds": 7.421006750082597, "metadata": {"match_method": "map", "num_predictions": 10, "num_ground_truth": 10, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 7.4964}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 209, "image": "tile_558_jpg.rf.98aa48e6c54062f1e67b01de665e6887.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [75, 882, 95, 922], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [310, 569, 333, 605], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [345, 248, 376, 323], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [623, 340, 666, 421], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [602, 839, 619, 892], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [868, 155, 900, 226], \"label\": \"ship in SAR satellite image\"}\n]\n```", "correct": true, "input_tokens": 1229, "output_tokens": 238, "elapsed_seconds": 4.795535416924395, "metadata": {"match_method": "map", "num_predictions": 6, "num_ground_truth": 6, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 4.8424}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 210, "image": "20230224_110122_jpg.rf.94c8b9d6caaec8593c315337e30857d7.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [589, 200, 646, 284], \"label\": \"crack\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 46, "elapsed_seconds": 2.2931935830274597, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 2.3092}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 211, "image": "IMG_20220316_144550_jpg.rf.92c6d74a9ccc9c6c90918613d40eb144.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [553, 170, 999, 513], \"label\": \"five of hearts\"},\n {\"box_2d\": [283, 513, 667, 684], \"label\": \"eight of hearts\"},\n {\"box_2d\": [244, 289, 646, 521], \"label\": \"six of hearts\"},\n {\"box_2d\": [443, 405, 892, 668], \"label\": \"seven of hearts\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 156, "elapsed_seconds": 3.2301202500239015, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 3.2525}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 212, "image": "wood-log-detection_006_png_jpg.rf.45786538ddac406dd0014f409b1d4caa.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [56, 448, 198, 534], \"label\": \"log cross-section\"},\n {\"box_2d\": [86, 292, 255, 422], \"label\": \"log cross-section\"},\n {\"box_2d\": [92, 200, 255, 344], \"label\": \"log cross-section\"},\n {\"box_2d\": [181, 236, 255, 309], \"label\": \"log cross-section\"},\n {\"box_2d\": [205, 319, 253, 366], \"label\": \"log cross-section\"},\n {\"box_2d\": [119, 388, 253, 456], \"label\": \"log cross-section\"},\n {\"box_2d\": [189, 444, 253, 488], \"label\": \"log cross-section\"},\n {\"box_2d\": [119, 475, 255, 555], \"label\": \"log cross-section\"},\n {\"box_2d\": [147, 558, 255, 622], \"label\": \"log cross-section\"},\n {\"box_2d\": [161, 616, 255, 686], \"label\": \"log cross-section\"},\n {\"box_2d\": [159, 678, 255, 780], \"label\": \"log cross-section\"},\n {\"box_2d\": [56, 553, 189, 634], \"label\": \"log cross-section\"},\n {\"box_2d\": [123, 556, 178, 594], \"label\": \"log cross-section\"},\n {\"box_2d\": [117, 592, 188, 645], \"label\": \"log cross-section\"},\n {\"box_2d\": [78, 619, 152, 681], \"label\": \"log cross-section\"},\n {\"box_2d\": [108, 645, 191, 712], \"label\": \"log cross-section\"}\n]\n```", "correct": false, "input_tokens": 1228, "output_tokens": 599, "elapsed_seconds": 6.918819583021104, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 6.945}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 213, "image": "Container_864_jpg.rf.9627e6adc1ff8e75c7d8ca9f8cc06311.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [96, 604, 195, 617], \"label\": \"container ISO type code\"},\n {\"box_2d\": [113, 543, 391, 566], \"label\": \"shipping container number\"},\n {\"box_2d\": [199, 910, 279, 959], \"label\": \"shipping container number\"},\n {\"box_2d\": [248, 941, 279, 953], \"label\": \"container ISO type code\"}\n]\n```", "correct": true, "input_tokens": 1232, "output_tokens": 157, "elapsed_seconds": 3.421013041981496, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 3.4377}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 214, "image": "uav20221018_ixfZ_3857_14_png.rf.64d1ce8897202b1ab5141c12ebcde0db.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 159, 44, 224], \"label\": \"banana tree\"},\n {\"box_2d\": [0, 469, 80, 540], \"label\": \"banana tree\"},\n {\"box_2d\": [54, 557, 104, 594], \"label\": \"banana tree\"},\n {\"box_2d\": [88, 179, 130, 211], \"label\": \"banana tree\"},\n {\"box_2d\": [94, 467, 160, 535], \"label\": \"banana tree\"},\n {\"box_2d\": [117, 250, 169, 287], \"label\": \"banana tree\"},\n {\"box_2d\": [146, 544, 198, 598], \"label\": \"banana tree\"},\n {\"box_2d\": [168, 476, 251, 542], \"label\": \"banana tree\"},\n {\"box_2d\": [171, 173, 214, 219], \"label\": \"banana tree\"},\n {\"box_2d\": [213, 241, 259, 279], \"label\": \"banana tree\"},\n {\"box_2d\": [259, 181, 297, 216], \"label\": \"banana tree\"},\n {\"box_2d\": [273, 491, 324, 532], \"label\": \"banana tree\"},\n {\"box_2d\": [315, 559, 360, 594], \"label\": \"banana tree\"},\n {\"box_2d\": [345, 174, 397, 229], \"label\": \"banana tree\"},\n {\"box_2d\": [347, 479, 434, 546], \"label\": \"banana tree\"},\n {\"box_2d\": [401, 553, 445, 597], \"label\": \"banana tree\"},\n {\"box_2d\": [427, 180, 483, 221], \"label\": \"banana tree\"},\n {\"box_2d\": [438, 487, 499, 543], \"label\": \"banana tree\"},\n {\"box_2d\": [472, 249, 521, 293], \"label\": \"banana tree\"},\n {\"box_2d\": [482, 565, 534, 603], \"label\": \"banana tree\"},\n {\"box_2d\": [517, 186, 558, 226], \"label\": \"banana tree\"},\n {\"box_2d\": [524, 478, 588, 539], \"label\": \"banana tree\"},\n {\"box_2d\": [562, 250, 610, 290], \"label\": \"banana tree\"},\n {\"box_2d\": [579, 561, 623, 601], \"label\": \"banana tree\"},\n {\"box_2d\": [602, 184, 650, 232], \"label\": \"banana tree\"},\n {\"box_2d\": [618, 491, 678, 549], \"label\": \"banana tree\"},\n {\"box_2d\": [641, 246, 706, 296], \"label\": \"banana tree\"},\n {\"box_2d\": [661, 549, 710, 603], \"label\": \"banana tree\"},\n {\"box_2d\": [686, 170, 742, 235], \"label\": \"banana tree\"},\n {\"box_2d\": [686, 481, 773, 565], \"label\": \"banana tree\"},\n {\"box_2d\": [731, 243, 783, 294], \"label\": \"banana tree\"},\n {\"box_2d\": [745, 555, 793, 609], \"label\": \"banana tree\"},\n {\"box_2d\": [765, 858, 821, 916], \"label\": \"banana tree\"},\n {\"box_2d\": [781, 180, 829, 232], \"label\": \"banana tree\"},\n {\"box_2d\": [791, 478, 864, 544], \"label\": \"banana tree\"},\n {\"box_2d\": [811, 780, 875, 842], \"label\": \"banana tree\"},\n {\"box_2d\": [822, 250, 875, 297], \"label\": \"banana tree\"},\n {\"box_2d\": [836, 567, 875, 604], \"label\": \"banana tree\"},\n {\"box_2d\": [864, 181, 919, 238], \"label\": \"banana tree\"},\n {\"box_2d\": [871, 488, 932, 547], \"label\": \"banana tree\"},\n {\"box_2d\": [900, 793, 964, 846], \"label\": \"banana tree\"},\n {\"box_2d\": [908, 253, 963, 305], \"label\": \"banana tree\"},\n {\"box_2d\": [937, 864, 994, 916], \"label\": \"banana tree\"},\n {\"box_2d\": [958, 181, 1000, 237], \"label\": \"banana tree\"},\n {\"box_2d\": [960, 490, 1000, 550], \"label\": \"banana tree\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 1580, "elapsed_seconds": 15.263339000055566, "metadata": {"match_method": "map", "num_predictions": 45, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8504088521003723, "attempts": 1, "retries": 0, "total_seconds": 15.3304}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 215, "image": "1704192313045_jpg.rf.f68f24072cd4a5061cddf9521b0b617a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [698, 228, 780, 300], \"label\": \"chickpea grain\"},\n {\"box_2d\": [591, 731, 670, 806], \"label\": \"chickpea grain\"},\n {\"box_2d\": [266, 603, 336, 686], \"label\": \"chickpea grain\"},\n {\"box_2d\": [431, 294, 514, 366], \"label\": \"chickpea grain\"},\n {\"box_2d\": [502, 439, 564, 509], \"label\": \"chickpea grain\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 192, "elapsed_seconds": 4.591623540967703, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 4.611}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 216, "image": "A15311-6Ctrv_2025_NCPT-174_JPG_jpg.rf.fc9ee0cac2da2d059bc0db453be0c788.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [17, 171, 66, 190], \"label\": \"potato\"},\n {\"box_2d\": [109, 158, 200, 193], \"label\": \"potato\"},\n {\"box_2d\": [200, 162, 268, 190], \"label\": \"potato\"},\n {\"box_2d\": [109, 207, 185, 236], \"label\": \"potato\"},\n {\"box_2d\": [13, 255, 70, 278], \"label\": \"potato\"},\n {\"box_2d\": [77, 248, 157, 281], \"label\": \"potato\"},\n {\"box_2d\": [181, 243, 272, 281], \"label\": \"potato\"},\n {\"box_2d\": [9, 293, 94, 323], \"label\": \"potato\"},\n {\"box_2d\": [94, 293, 149, 319], \"label\": \"potato\"},\n {\"box_2d\": [149, 290, 228, 321], \"label\": \"potato\"},\n {\"box_2d\": [9, 341, 66, 365], \"label\": \"potato\"},\n {\"box_2d\": [66, 333, 155, 369], \"label\": \"potato\"},\n {\"box_2d\": [183, 321, 304, 367], \"label\": \"potato\"},\n {\"box_2d\": [304, 330, 398, 368], \"label\": \"potato\"},\n {\"box_2d\": [430, 203, 496, 229], \"label\": \"potato\"},\n {\"box_2d\": [570, 199, 645, 229], \"label\": \"potato\"},\n {\"box_2d\": [377, 246, 455, 275], \"label\": \"potato\"},\n {\"box_2d\": [496, 244, 585, 278], \"label\": \"potato\"},\n {\"box_2d\": [391, 280, 517, 325], \"label\": \"potato\"},\n {\"box_2d\": [517, 295, 549, 313], \"label\": \"potato\"},\n {\"box_2d\": [549, 293, 606, 315], \"label\": \"potato\"},\n {\"box_2d\": [606, 291, 672, 313], \"label\": \"potato\"},\n {\"box_2d\": [691, 286, 762, 313], \"label\": \"potato\"},\n {\"box_2d\": [806, 243, 885, 272], \"label\": \"potato\"},\n {\"box_2d\": [445, 328, 549, 366], \"label\": \"potato\"},\n {\"box_2d\": [562, 330, 653, 367], \"label\": \"potato\"},\n {\"box_2d\": [653, 335, 713, 358], \"label\": \"potato\"},\n {\"box_2d\": [34, 379, 109, 408], \"label\": \"potato\"},\n {\"box_2d\": [109, 376, 189, 410], \"label\": \"potato\"},\n {\"box_2d\": [189, 377, 270, 410], \"label\": \"potato\"},\n {\"box_2d\": [270, 369, 374, 410], \"label\": \"potato\"},\n {\"box_2d\": [77, 421, 155, 454], \"label\": \"potato\"},\n {\"box_2d\": [155, 417, 262, 458], \"label\": \"potato\"},\n {\"box_2d\": [123, 460, 240, 500], \"label\": \"potato\"},\n {\"box_2d\": [283, 415, 406, 456], \"label\": \"potato\"},\n {\"box_2d\": [411, 416, 509, 452], \"label\": \"potato\"},\n {\"box_2d\": [315, 454, 434, 502], \"label\": \"potato\"},\n {\"box_2d\": [434, 465, 502, 495], \"label\": \"potato\"},\n {\"box_2d\": [368, 502, 498, 544], \"label\": \"potato\"},\n {\"box_2d\": [485, 365, 598, 410], \"label\": \"potato\"},\n {\"box_2d\": [623, 369, 713, 404], \"label\": \"potato\"},\n {\"box_2d\": [717, 369, 804, 404], \"label\": \"potato\"},\n {\"box_2d\": [809, 375, 883, 401], \"label\": \"potato\"},\n {\"box_2d\": [613, 416, 689, 450], \"label\": \"potato\"},\n {\"box_2d\": [598, 456, 734, 497], \"label\": \"potato\"},\n {\"box_2d\": [734, 449, 840, 493], \"label\": \"potato\"},\n {\"box_2d\": [932, 458, 998, 488], \"label\": \"potato\"},\n {\"box_2d\": [826, 495, 951, 545], \"label\": \"potato\"},\n {\"box_2d\": [832, 545, 919, 578], \"label\": \"potato\"},\n {\"box_2d\": [919, 550, 972, 574], \"label\": \"potato\"},\n {\"box_2d\": [9, 515, 66, 537], \"label\": \"potato\"},\n {\"box_2d\": [4, 558, 87, 588], \"label\": \"potato\"},\n {\"box_2d\": [4, 601, 83, 631], \"label\": \"potato\"},\n {\"box_2d\": [28, 631, 149, 678], \"label\": \"potato\"},\n {\"box_2d\": [160, 589, 285, 646], \"label\": \"potato\"},\n {\"box_2d\": [402, 551, 498, 583], \"label\": \"potato\"},\n {\"box_2d\": [511, 592, 640, 638], \"label\": \"potato\"},\n {\"box_2d\": [453, 637, 551, 674], \"label\": \"potato\"},\n {\"box_2d\": [704, 595, 774, 624], \"label\": \"potato\"},\n {\"box_2d\": [932, 722, 994, 749], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 2027, "elapsed_seconds": 74.7534138339106, "metadata": {"match_method": "map", "num_predictions": 60, "num_ground_truth": 60, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 75.4881}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 217, "image": "signatures_image_15_png_jpg.rf.6b815d82f5451daedc9c9077d66f9599.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [243, 76, 289, 399], \"label\": \"signature\"},\n {\"box_2d\": [229, 469, 278, 825], \"label\": \"signature\"},\n {\"box_2d\": [354, 72, 494, 430], \"label\": \"signature\"},\n {\"box_2d\": [414, 512, 479, 750], \"label\": \"signature\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 146, "elapsed_seconds": 14.757619166979566, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 14.875}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 218, "image": "lot222_JPEG_jpg.rf.50df16e1f4326083fe341ec20a62dbe4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [770, 610, 807, 631], \"label\": \"chicory seed\"},\n {\"box_2d\": [749, 597, 782, 625], \"label\": \"chicory seed\"},\n {\"box_2d\": [721, 583, 753, 624], \"label\": \"chicory seed\"},\n {\"box_2d\": [712, 563, 751, 598], \"label\": \"chicory seed\"},\n {\"box_2d\": [741, 539, 777, 560], \"label\": \"chicory seed\"},\n {\"box_2d\": [785, 519, 811, 560], \"label\": \"chicory seed\"},\n {\"box_2d\": [815, 536, 833, 581], \"label\": \"chicory seed\"},\n {\"box_2d\": [791, 488, 829, 515], \"label\": \"chicory seed\"},\n {\"box_2d\": [770, 459, 811, 484], \"label\": \"chicory seed\"},\n {\"box_2d\": [777, 444, 816, 461], \"label\": \"chicory seed\"},\n {\"box_2d\": [761, 484, 785, 524], \"label\": \"chicory seed\"},\n {\"box_2d\": [742, 488, 761, 527], \"label\": \"chicory seed\"},\n {\"box_2d\": [748, 449, 773, 489], \"label\": \"chicory seed\"},\n {\"box_2d\": [776, 405, 817, 427], \"label\": \"chicory seed\"},\n {\"box_2d\": [796, 362, 814, 400], \"label\": \"chicory seed\"},\n {\"box_2d\": [813, 359, 837, 400], \"label\": \"chicory seed\"},\n {\"box_2d\": [735, 389, 774, 408], \"label\": \"chicory seed\"},\n {\"box_2d\": [764, 361, 786, 401], \"label\": \"chicory seed\"},\n {\"box_2d\": [726, 336, 745, 374], \"label\": \"chicory seed\"},\n {\"box_2d\": [769, 316, 807, 349], \"label\": \"chicory seed\"},\n {\"box_2d\": [763, 289, 781, 332], \"label\": \"chicory seed\"},\n {\"box_2d\": [708, 317, 747, 339], \"label\": \"chicory seed\"},\n {\"box_2d\": [723, 289, 764, 314], \"label\": \"chicory seed\"},\n {\"box_2d\": [740, 253, 769, 291], \"label\": \"chicory seed\"},\n {\"box_2d\": [702, 273, 741, 297], \"label\": \"chicory seed\"},\n {\"box_2d\": [685, 291, 709, 329], \"label\": \"chicory seed\"},\n {\"box_2d\": [694, 234, 728, 270], \"label\": \"chicory seed\"},\n {\"box_2d\": [641, 217, 684, 240], \"label\": \"chicory seed\"},\n {\"box_2d\": [719, 415, 740, 453], \"label\": \"chicory seed\"},\n {\"box_2d\": [711, 463, 749, 491], \"label\": \"chicory seed\"},\n {\"box_2d\": [718, 491, 743, 530], \"label\": \"chicory seed\"},\n {\"box_2d\": [700, 514, 740, 544], \"label\": \"chicory seed\"},\n {\"box_2d\": [680, 494, 719, 517], \"label\": \"chicory seed\"},\n {\"box_2d\": [670, 453, 703, 490], \"label\": \"chicory seed\"},\n {\"box_2d\": [661, 427, 699, 452], \"label\": \"chicory seed\"},\n {\"box_2d\": [651, 409, 693, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [654, 386, 695, 408], \"label\": \"chicory seed\"},\n {\"box_2d\": [667, 353, 702, 385], \"label\": \"chicory seed\"},\n {\"box_2d\": [649, 340, 681, 377], \"label\": \"chicory seed\"},\n {\"box_2d\": [639, 316, 675, 352], \"label\": \"chicory seed\"},\n {\"box_2d\": [617, 297, 657, 319], \"label\": \"chicory seed\"},\n {\"box_2d\": [609, 259, 639, 293], \"label\": \"chicory seed\"},\n {\"box_2d\": [578, 257, 603, 293], \"label\": \"chicory seed\"},\n {\"box_2d\": [562, 212, 588, 250], \"label\": \"chicory seed\"},\n {\"box_2d\": [529, 173, 559, 211], \"label\": \"chicory seed\"},\n {\"box_2d\": [477, 163, 516, 181], \"label\": \"chicory seed\"},\n {\"box_2d\": [629, 378, 670, 405], \"label\": \"chicory seed\"},\n {\"box_2d\": [612, 369, 652, 391], \"label\": \"chicory seed\"},\n {\"box_2d\": [602, 310, 638, 346], \"label\": \"chicory seed\"},\n {\"box_2d\": [592, 352, 633, 372], \"label\": \"chicory seed\"},\n {\"box_2d\": [591, 311, 610, 352], \"label\": \"chicory seed\"},\n {\"box_2d\": [576, 320, 591, 363], \"label\": \"chicory seed\"},\n {\"box_2d\": [554, 286, 593, 313], \"label\": \"chicory seed\"},\n {\"box_2d\": [535, 247, 567, 287], \"label\": \"chicory seed\"},\n {\"box_2d\": [509, 265, 541, 302], \"label\": \"chicory seed\"},\n {\"box_2d\": [528, 303, 567, 324], \"label\": \"chicory seed\"},\n {\"box_2d\": [531, 320, 572, 351], \"label\": \"chicory seed\"},\n {\"box_2d\": [512, 329, 550, 355], \"label\": \"chicory seed\"},\n {\"box_2d\": [513, 342, 550, 376], \"label\": \"chicory seed\"},\n {\"box_2d\": [545, 349, 579, 372], \"label\": \"chicory seed\"},\n {\"box_2d\": [546, 367, 563, 406], \"label\": \"chicory seed\"},\n {\"box_2d\": [510, 367, 544, 404], \"label\": \"chicory seed\"},\n {\"box_2d\": [501, 274, 520, 313], \"label\": \"chicory seed\"},\n {\"box_2d\": [512, 229, 540, 265], \"label\": \"chicory seed\"},\n {\"box_2d\": [489, 229, 515, 265], \"label\": \"chicory seed\"},\n {\"box_2d\": [465, 196, 488, 234], \"label\": \"chicory seed\"},\n {\"box_2d\": [454, 235, 492, 264], \"label\": \"chicory seed\"},\n {\"box_2d\": [453, 265, 495, 286], \"label\": \"chicory seed\"},\n {\"box_2d\": [445, 189, 476, 226], \"label\": \"chicory seed\"},\n {\"box_2d\": [429, 174, 449, 209], \"label\": \"chicory seed\"},\n {\"box_2d\": [411, 170, 431, 214], \"label\": \"chicory seed\"},\n {\"box_2d\": [433, 229, 463, 267], \"label\": \"chicory seed\"},\n {\"box_2d\": [413, 217, 442, 259], \"label\": \"chicory seed\"},\n {\"box_2d\": [396, 218, 425, 254], \"label\": \"chicory seed\"},\n {\"box_2d\": [399, 254, 436, 288], \"label\": \"chicory seed\"},\n {\"box_2d\": [431, 283, 460, 323], \"label\": \"chicory seed\"},\n {\"box_2d\": [451, 299, 482, 336], \"label\": \"chicory seed\"},\n {\"box_2d\": [469, 300, 502, 338], \"label\": \"chicory seed\"},\n {\"box_2d\": [482, 317, 509, 357], \"label\": \"chicory seed\"},\n {\"box_2d\": [490, 364, 507, 405], \"label\": \"chicory seed\"},\n {\"box_2d\": [472, 365, 490, 406], \"label\": \"chicory seed\"},\n {\"box_2d\": [504, 393, 528, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [525, 403, 543, 444], \"label\": \"chicory seed\"},\n {\"box_2d\": [498, 425, 530, 461], \"label\": \"chicory seed\"},\n {\"box_2d\": [468, 406, 504, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [426, 366, 463, 386], \"label\": \"chicory seed\"},\n {\"box_2d\": [414, 338, 448, 375], \"label\": \"chicory seed\"},\n {\"box_2d\": [400, 308, 430, 344], \"label\": \"chicory seed\"},\n {\"box_2d\": [395, 291, 432, 321], \"label\": \"chicory seed\"},\n {\"box_2d\": [374, 275, 410, 310], \"label\": \"chicory seed\"},\n {\"box_2d\": [357, 267, 394, 300], \"label\": \"chicory seed\"},\n {\"box_2d\": [355, 299, 382, 338], \"label\": \"chicory seed\"},\n {\"box_2d\": [345, 245, 376, 286], \"label\": \"chicory seed\"},\n {\"box_2d\": [332, 215, 353, 257], \"label\": \"chicory seed\"},\n {\"box_2d\": [313, 210, 337, 250], \"label\": \"chicory seed\"},\n {\"box_2d\": [329, 284, 354, 321], \"label\": \"chicory seed\"},\n {\"box_2d\": [323, 313, 358, 343], \"label\": \"chicory seed\"},\n {\"box_2d\": [306, 259, 329, 299], \"label\": \"chicory seed\"},\n {\"box_2d\": [294, 304, 327, 343], \"label\": \"chicory seed\"},\n {\"box_2d\": [278, 280, 303, 318], \"label\": \"chicory seed\"},\n {\"box_2d\": [270, 244, 308, 278], \"label\": \"chicory seed\"},\n {\"box_2d\": [246, 279, 283, 307], \"label\": \"chicory seed\"},\n {\"box_2d\": [241, 306, 268, 347], \"label\": \"chicory seed\"},\n {\"box_2d\": [264, 329, 302, 356], \"label\": \"chicory seed\"},\n {\"box_2d\": [261, 356, 307, 383], \"label\": \"chicory seed\"},\n {\"box_2d\": [209, 341, 227, 381], \"label\": \"chicory seed\"},\n {\"box_2d\": [230, 371, 248, 412], \"label\": \"chicory seed\"},\n {\"box_2d\": [248, 374, 266, 415], \"label\": \"chicory seed\"},\n {\"box_2d\": [267, 397, 308, 421], \"label\": \"chicory seed\"},\n {\"box_2d\": [313, 357, 333, 399], \"label\": \"chicory seed\"},\n {\"box_2d\": [310, 395, 338, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [345, 343, 385, 371], \"label\": \"chicory seed\"},\n {\"box_2d\": [347, 364, 382, 397], \"label\": \"chicory seed\"},\n {\"box_2d\": [381, 366, 416, 396], \"label\": \"chicory seed\"},\n {\"box_2d\": [373, 379, 394, 419], \"label\": \"chicory seed\"},\n {\"box_2d\": [390, 405, 415, 444], \"label\": \"chicory seed\"},\n {\"box_2d\": [416, 394, 454, 418], \"label\": \"chicory seed\"},\n {\"box_2d\": [407, 418, 445, 446], \"label\": \"chicory seed\"},\n {\"box_2d\": [408, 436, 446, 467], \"label\": \"chicory seed\"},\n {\"box_2d\": [444, 425, 476, 459], \"label\": \"chicory seed\"},\n {\"box_2d\": [471, 443, 497, 480], \"label\": \"chicory seed\"},\n {\"box_2d\": [489, 463, 530, 489], \"label\": \"chicory seed\"},\n {\"box_2d\": [491, 484, 529, 505], \"label\": \"chicory seed\"},\n {\"box_2d\": [546, 428, 567, 473], \"label\": \"chicory seed\"},\n {\"box_2d\": [556, 405, 591, 444], \"label\": \"chicory seed\"},\n {\"box_2d\": [568, 371, 591, 411], \"label\": \"chicory seed\"},\n {\"box_2d\": [581, 365, 615, 404], \"label\": \"chicory seed\"},\n {\"box_2d\": [586, 406, 614, 443], \"label\": \"chicory seed\"},\n {\"box_2d\": [607, 393, 628, 432], \"label\": \"chicory seed\"},\n {\"box_2d\": [616, 410, 646, 449], \"label\": \"chicory seed\"},\n {\"box_2d\": [628, 436, 661, 474], \"label\": \"chicory seed\"},\n {\"box_2d\": [625, 459, 664, 489], \"label\": \"chicory seed\"},\n {\"box_2d\": [635, 478, 676, 501], \"label\": \"chicory seed\"},\n {\"box_2d\": [643, 498, 682, 520], \"label\": \"chicory seed\"},\n {\"box_2d\": [602, 453, 629, 493], \"label\": \"chicory seed\"},\n {\"box_2d\": [579, 444, 616, 468], \"label\": \"chicory seed\"},\n {\"box_2d\": [558, 466, 601, 492], \"label\": \"chicory seed\"},\n {\"box_2d\": [545, 477, 583, 503], \"label\": \"chicory seed\"},\n {\"box_2d\": [532, 500, 576, 522], \"label\": \"chicory seed\"},\n {\"box_2d\": [578, 496, 598, 540], \"label\": \"chicory seed\"},\n {\"box_2d\": [595, 488, 615, 523], \"label\": \"chicory seed\"},\n {\"box_2d\": [615, 489, 646, 526], \"label\": \"chicory seed\"},\n {\"box_2d\": [654, 514, 691, 547], \"label\": \"chicory seed\"},\n {\"box_2d\": [690, 543, 710, 588], \"label\": \"chicory seed\"},\n {\"box_2d\": [667, 562, 690, 602], \"label\": \"chicory seed\"},\n {\"box_2d\": [646, 574, 678, 610], \"label\": \"chicory seed\"},\n {\"box_2d\": [633, 546, 662, 584], \"label\": \"chicory seed\"},\n {\"box_2d\": [617, 526, 646, 567], \"label\": \"chicory seed\"},\n {\"box_2d\": [594, 526, 622, 566], \"label\": \"chicory seed\"},\n {\"box_2d\": [553, 526, 592, 559], \"label\": \"chicory seed\"},\n {\"box_2d\": [537, 536, 571, 573], \"label\": \"chicory seed\"},\n {\"box_2d\": [519, 544, 553, 583], \"label\": \"chicory seed\"},\n {\"box_2d\": [515, 501, 532, 540], \"label\": \"chicory seed\"},\n {\"box_2d\": [501, 536, 523, 579], \"label\": \"chicory seed\"},\n {\"box_2d\": [468, 514, 514, 536], \"label\": \"chicory seed\"},\n {\"box_2d\": [434, 479, 453, 521], \"label\": \"chicory seed\"},\n {\"box_2d\": [456, 463, 474, 504], \"label\": \"chicory seed\"},\n {\"box_2d\": [441, 499, 482, 528], \"label\": \"chicory seed\"},\n {\"box_2d\": [433, 521, 470, 555], \"label\": \"chicory seed\"},\n {\"box_2d\": [393, 532, 434, 557], \"label\": \"chicory seed\"},\n {\"box_2d\": [375, 471, 405, 508], \"label\": \"chicory seed\"},\n {\"box_2d\": [349, 424, 384, 459], \"label\": \"chicory seed\"},\n {\"box_2d\": [320, 444, 360, 466], \"label\": \"chicory seed\"},\n {\"box_2d\": [320, 466, 361, 493], \"label\": \"chicory seed\"},\n {\"box_2d\": [338, 491, 378, 512], \"label\": \"chicory seed\"},\n {\"box_2d\": [326, 498, 346, 543], \"label\": \"chicory seed\"},\n {\"box_2d\": [338, 539, 369, 582], \"label\": \"chicory seed\"},\n {\"box_2d\": [318, 534, 338, 577], \"label\": \"chicory seed\"},\n {\"box_2d\": [303, 497, 323, 540], \"label\": \"chicory seed\"},\n {\"box_2d\": [295, 443, 320, 483], \"label\": \"chicory seed\"},\n {\"box_2d\": [275, 439, 300, 480], \"label\": \"chicory seed\"},\n {\"box_2d\": [246, 427, 287, 456], \"label\": \"chicory seed\"},\n {\"box_2d\": [202, 408, 234, 445], \"label\": \"chicory seed\"},\n {\"box_2d\": [182, 404, 208, 442], \"label\": \"chicory seed\"},\n {\"box_2d\": [193, 444, 229, 464], \"label\": \"chicory seed\"},\n {\"box_2d\": [200, 470, 241, 489], \"label\": \"chicory seed\"},\n {\"box_2d\": [171, 461, 198, 499], \"label\": \"chicory seed\"},\n {\"box_2d\": [168, 502, 187, 543], \"label\": \"chicory seed\"},\n {\"box_2d\": [190, 489, 208, 532], \"label\": \"chicory seed\"},\n {\"box_2d\": [242, 466, 279, 495], \"label\": \"chicory seed\"},\n {\"box_2d\": [231, 489, 263, 526], \"label\": \"chicory seed\"},\n {\"box_2d\": [243, 503, 274, 541], \"label\": \"chicory seed\"},\n {\"box_2d\": [273, 487, 291, 527], \"label\": \"chicory seed\"},\n {\"box_2d\": [282, 513, 305, 551], \"label\": \"chicory seed\"},\n {\"box_2d\": [279, 544, 315, 577], \"label\": \"chicory seed\"},\n {\"box_2d\": [252, 535, 279, 578], \"label\": \"chicory seed\"},\n {\"box_2d\": [218, 533, 253, 567], \"label\": \"chicory seed\"},\n {\"box_2d\": [181, 543, 209, 581], \"label\": \"chicory seed\"},\n {\"box_2d\": [170, 549, 196, 591], \"label\": \"chicory seed\"},\n {\"box_2d\": [192, 571, 226, 605], \"label\": \"chicory seed\"},\n {\"box_2d\": [189, 606, 220, 643], \"label\": \"chicory seed\"},\n {\"box_2d\": [225, 591, 263, 615], \"label\": \"chicory seed\"},\n {\"box_2d\": [264, 578, 285, 621], \"label\": \"chicory seed\"},\n {\"box_2d\": [298, 613, 338, 639], \"label\": \"chicory seed\"},\n {\"box_2d\": [337, 616, 369, 649], \"label\": \"chicory seed\"},\n {\"box_2d\": [374, 615, 399, 657], \"label\": \"chicory seed\"},\n {\"box_2d\": [264, 634, 289, 675], \"label\": \"chicory seed\"},\n {\"box_2d\": [249, 649, 271, 688], \"label\": \"chicory seed\"},\n {\"box_2d\": [225, 640, 249, 684], \"label\": \"chicory seed\"},\n {\"box_2d\": [200, 656, 235, 691], \"label\": \"chicory seed\"},\n {\"box_2d\": [219, 695, 251, 731], \"label\": \"chicory seed\"},\n {\"box_2d\": [250, 695, 270, 735], \"label\": \"chicory seed\"},\n {\"box_2d\": [273, 679, 311, 699], \"label\": \"chicory seed\"},\n {\"box_2d\": [268, 702, 307, 722], \"label\": \"chicory seed\"},\n {\"box_2d\": [283, 719, 320, 748], \"label\": \"chicory seed\"},\n {\"box_2d\": [250, 733, 290, 755], \"label\": \"chicory seed\"},\n {\"box_2d\": [258, 758, 297, 788], \"label\": \"chicory seed\"},\n {\"box_2d\": [289, 745, 321, 777], \"label\": \"chicory seed\"},\n {\"box_2d\": [313, 697, 347, 736], \"label\": \"chicory seed\"},\n {\"box_2d\": [326, 719, 357, 752], \"label\": \"chicory seed\"},\n {\"box_2d\": [316, 755, 338, 796], \"label\": \"chicory seed\"},\n {\"box_2d\": [333, 795, 358, 835], \"label\": \"chicory seed\"},\n {\"box_2d\": [363, 801, 403, 823], \"label\": \"chicory seed\"},\n {\"box_2d\": [354, 819, 391, 853], \"label\": \"chicory seed\"},\n {\"box_2d\": [363, 730, 385, 772], \"label\": \"chicory seed\"},\n {\"box_2d\": [362, 700, 398, 735], \"label\": \"chicory seed\"},\n {\"box_2d\": [365, 679, 404, 709], \"label\": \"chicory seed\"},\n {\"box_2d\": [399, 655, 420, 696], \"label\": \"chicory seed\"},\n {\"box_2d\": [411, 611, 437, 654], \"label\": \"chicory seed\"},\n {\"box_2d\": [426, 595, 464, 621], \"label\": \"chicory seed\"},\n {\"box_2d\": [411, 576, 449, 594], \"label\": \"chicory seed\"},\n {\"box_2d\": [413, 557, 452, 578], \"label\": \"chicory seed\"},\n {\"box_2d\": [448, 535, 489, 567], \"label\": \"chicory seed\"},\n {\"box_2d\": [454, 557, 493, 586], \"label\": \"chicory seed\"},\n {\"box_2d\": [468, 564, 509, 603], \"label\": \"chicory seed\"},\n {\"box_2d\": [476, 593, 507, 635], \"label\": \"chicory seed\"},\n {\"box_2d\": [508, 579, 549, 602], \"label\": \"chicory seed\"},\n {\"box_2d\": [506, 603, 545, 624], \"label\": \"chicory seed\"},\n {\"box_2d\": [546, 575, 574, 616], \"label\": \"chicory seed\"},\n {\"box_2d\": [572, 559, 608, 590], \"label\": \"chicory seed\"},\n {\"box_2d\": [568, 581, 589, 624], \"label\": \"chicory seed\"},\n {\"box_2d\": [590, 591, 624, 629], \"label\": \"chicory seed\"},\n {\"box_2d\": [623, 592, 643, 634], \"label\": \"chicory seed\"},\n {\"box_2d\": [641, 611, 670, 650], \"label\": \"chicory seed\"},\n {\"box_2d\": [682, 610, 722, 641], \"label\": \"chicory seed\"},\n {\"box_2d\": [672, 642, 706, 681], \"label\": \"chicory seed\"},\n {\"box_2d\": [649, 636, 675, 674], \"label\": \"chicory seed\"},\n {\"box_2d\": [619, 663, 662, 685], \"label\": \"chicory seed\"},\n {\"box_2d\": [602, 644, 642, 664], \"label\": \"chicory seed\"},\n {\"box_2d\": [588, 620, 618, 658], \"label\": \"chicory seed\"},\n {\"box_2d\": [564, 625, 589, 666], \"label\": \"chicory seed\"},\n {\"box_2d\": [529, 623, 549, 664], \"label\": \"chicory seed\"},\n {\"box_2d\": [447, 639, 487, 660], \"label\": \"chicory seed\"},\n {\"box_2d\": [425, 651, 464, 677], \"label\": \"chicory seed\"},\n {\"box_2d\": [427, 681, 462, 711], \"label\": \"chicory seed\"},\n {\"box_2d\": [414, 688, 444, 722], \"label\": \"chicory seed\"},\n {\"box_2d\": [407, 721, 427, 763], \"label\": \"chicory seed\"},\n {\"box_2d\": [396, 767, 430, 804], \"label\": \"chicory seed\"},\n {\"box_2d\": [421, 751, 444, 792], \"label\": \"chicory seed\"},\n {\"box_2d\": [432, 744, 461, 783], \"label\": \"chicory seed\"},\n {\"box_2d\": [415, 831, 452, 864], \"label\": \"chicory seed\"},\n {\"box_2d\": [446, 858, 484, 882], \"label\": \"chicory seed\"},\n {\"box_2d\": [513, 858, 554, 877], \"label\": \"chicory seed\"},\n {\"box_2d\": [573, 845, 612, 867], \"label\": \"chicory seed\"},\n {\"box_2d\": [468, 798, 492, 840], \"label\": \"chicory seed\"},\n {\"box_2d\": [485, 797, 511, 839], \"label\": \"chicory seed\"},\n {\"box_2d\": [494, 765, 523, 803], \"label\": \"chicory seed\"},\n {\"box_2d\": [464, 756, 504, 781], \"label\": \"chicory seed\"},\n {\"box_2d\": [463, 724, 483, 762], \"label\": \"chicory seed\"},\n {\"box_2d\": [481, 715, 502, 756], \"label\": \"chicory seed\"},\n {\"box_2d\": [462, 677, 484, 718], \"label\": \"chicory seed\"},\n {\"box_2d\": [487, 659, 526, 683], \"label\": \"chicory seed\"},\n {\"box_2d\": [496, 683, 525, 720], \"label\": \"chicory seed\"},\n {\"box_2d\": [504, 727, 529, 768], \"label\": \"chicory seed\"},\n {\"box_2d\": [517, 720, 551, 759], \"label\": \"chicory seed\"},\n {\"box_2d\": [526, 706, 565, 738], \"label\": \"chicory seed\"},\n {\"box_2d\": [527, 666, 556, 706], \"label\": \"chicory seed\"},\n {\"box_2d\": [549, 670, 574, 712], \"label\": \"chicory seed\"},\n {\"box_2d\": [581, 661, 619, 683], \"label\": \"chicory seed\"},\n {\"box_2d\": [586, 678, 626, 708], \"label\": \"chicory seed\"},\n {\"box_2d\": [575, 687, 613, 720], \"label\": \"chicory seed\"},\n {\"box_2d\": [566, 712, 609, 735], \"label\": \"chicory seed\"},\n {\"box_2d\": [568, 735, 608, 758], \"label\": \"chicory seed\"},\n {\"box_2d\": [512, 792, 531, 835], \"label\": \"chicory seed\"},\n {\"box_2d\": [531, 763, 552, 804], \"label\": \"chicory seed\"},\n {\"box_2d\": [535, 811, 565, 849], \"label\": \"chicory seed\"},\n {\"box_2d\": [552, 783, 585, 821], \"label\": \"chicory seed\"},\n {\"box_2d\": [567, 757, 592, 797], \"label\": \"chicory seed\"},\n {\"box_2d\": [589, 760, 618, 800], \"label\": \"chicory seed\"},\n {\"box_2d\": [592, 802, 624, 841], \"label\": \"chicory seed\"},\n {\"box_2d\": [633, 793, 654, 836], \"label\": \"chicory seed\"},\n {\"box_2d\": [614, 759, 634, 799], \"label\": \"chicory seed\"},\n {\"box_2d\": [609, 712, 630, 755], \"label\": \"chicory seed\"},\n {\"box_2d\": [627, 718, 646, 760], \"label\": \"chicory seed\"},\n {\"box_2d\": [645, 714, 665, 758], \"label\": \"chicory seed\"},\n {\"box_2d\": [637, 762, 670, 798], \"label\": \"chicory seed\"},\n {\"box_2d\": [661, 720, 691, 760], \"label\": \"chicory seed\"},\n {\"box_2d\": [639, 678, 681, 701], \"label\": \"chicory seed\"},\n {\"box_2d\": [680, 700, 703, 742], \"label\": \"chicory seed\"},\n {\"box_2d\": [696, 681, 715, 722], \"label\": \"chicory seed\"},\n {\"box_2d\": [700, 718, 728, 758], \"label\": \"chicory seed\"},\n {\"box_2d\": [680, 789, 719, 816], \"label\": \"chicory seed\"},\n {\"box_2d\": [723, 735, 768, 755], \"label\": \"chicory seed\"},\n {\"box_2d\": [737, 693, 756, 737], \"label\": \"chicory seed\"},\n {\"box_2d\": [725, 664, 744, 705], \"label\": \"chicory seed\"},\n {\"box_2d\": [746, 646, 770, 685], \"label\": \"chicory seed\"},\n {\"box_2d\": [759, 634, 795, 667], \"label\": \"chicory seed\"},\n {\"box_2d\": [779, 674, 800, 713], \"label\": \"chicory seed\"},\n {\"box_2d\": [795, 657, 818, 699], \"label\": \"chicory seed\"},\n {\"box_2d\": [796, 638, 833, 659], \"label\": \"chicory seed\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 10812, "elapsed_seconds": 78.78938387497328, "metadata": {"match_method": "map", "num_predictions": 300, "num_ground_truth": 299, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3366336524486542, "attempts": 1, "retries": 0, "total_seconds": 78.9285}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 219, "image": "66_png.rf.39bf6d177f61078e6d35cc7449f636fc.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [32, 260, 93, 309], \"label\": \"not gate symbol\"},\n {\"box_2d\": [155, 253, 236, 331], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [175, 568, 255, 646], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [250, 110, 321, 152], \"label\": \"not gate symbol\"},\n {\"box_2d\": [250, 162, 321, 204], \"label\": \"not gate symbol\"},\n {\"box_2d\": [325, 253, 408, 331], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [411, 504, 483, 545], \"label\": \"not gate symbol\"},\n {\"box_2d\": [478, 568, 559, 646], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [659, 260, 720, 309], \"label\": \"not gate symbol\"},\n {\"box_2d\": [631, 568, 712, 646], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [554, 778, 635, 856], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [782, 568, 862, 646], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [801, 778, 881, 856], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [905, 260, 966, 309], \"label\": \"not gate symbol\"}\n]\n```", "correct": true, "input_tokens": 1222, "output_tokens": 514, "elapsed_seconds": 6.045298999990337, "metadata": {"match_method": "map", "num_predictions": 14, "num_ground_truth": 14, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 6.0555}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 220, "image": "car-part-detection_Car-damages-1497_png_jpg.rf.e852cda680508c1a167266952897c9ec.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [540, 81, 756, 179], \"label\": \"back bumper\"},\n {\"box_2d\": [425, 96, 543, 165], \"label\": \"tail light\"},\n {\"box_2d\": [264, 117, 408, 204], \"label\": \"back windshield\"},\n {\"box_2d\": [254, 249, 421, 471], \"label\": \"back window\"},\n {\"box_2d\": [252, 505, 463, 738], \"label\": \"front window\"},\n {\"box_2d\": [400, 739, 459, 765], \"label\": \"mirror\"},\n {\"box_2d\": [244, 485, 728, 783], \"label\": \"front door\"},\n {\"box_2d\": [244, 231, 732, 503], \"label\": \"back door\"},\n {\"box_2d\": [391, 822, 461, 938], \"label\": \"hood\"},\n {\"box_2d\": [451, 898, 540, 976], \"label\": \"headlight\"},\n {\"box_2d\": [527, 936, 744, 991], \"label\": \"front bumper\"},\n {\"box_2d\": [250, 622, 422, 853], \"label\": \"windshield\"}\n]\n```", "correct": true, "input_tokens": 1232, "output_tokens": 428, "elapsed_seconds": 9.625379916047677, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 14, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8754124641418457, "attempts": 1, "retries": 0, "total_seconds": 9.6491}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 221, "image": "51_jpg.rf.058febb668fb3dcd1ddaf96ac46d336e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [584, 646, 756, 887], \"label\": \"blood sample tube\"},\n {\"box_2d\": [485, 612, 670, 850], \"label\": \"blood sample tube\"},\n {\"box_2d\": [278, 653, 568, 810], \"label\": \"blood sample tube\"},\n {\"box_2d\": [381, 471, 656, 642], \"label\": \"blood sample tube\"},\n {\"box_2d\": [525, 326, 634, 565], \"label\": \"blood sample tube\"},\n {\"box_2d\": [582, 331, 695, 571], \"label\": \"blood sample tube\"},\n {\"box_2d\": [654, 198, 759, 442], \"label\": \"blood sample tube\"},\n {\"box_2d\": [687, 412, 754, 657], \"label\": \"blood sample tube\"},\n {\"box_2d\": [351, 196, 635, 339], \"label\": \"blood sample tube\"},\n {\"box_2d\": [270, 279, 570, 404], \"label\": \"blood sample tube\"},\n {\"box_2d\": [150, 232, 396, 428], \"label\": \"blood sample tube\"},\n {\"box_2d\": [62, 193, 384, 242], \"label\": \"blood sample tube\"},\n {\"box_2d\": [46, 281, 162, 518], \"label\": \"blood sample tube\"},\n {\"box_2d\": [40, 467, 104, 710], \"label\": \"blood sample tube\"},\n {\"box_2d\": [37, 710, 96, 954], \"label\": \"blood sample tube\"},\n {\"box_2d\": [89, 662, 154, 912], \"label\": \"blood sample tube\"},\n {\"box_2d\": [104, 521, 226, 760], \"label\": \"blood sample tube\"},\n {\"box_2d\": [168, 570, 300, 810], \"label\": \"blood sample tube\"},\n {\"box_2d\": [168, 431, 318, 660], \"label\": \"blood sample tube\"},\n {\"box_2d\": [117, 774, 378, 954], \"label\": \"blood sample tube\"},\n {\"box_2d\": [179, 859, 495, 967], \"label\": \"blood sample tube\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 762, "elapsed_seconds": 8.31944254192058, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 21, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 8.3499}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 222, "image": "161056d_JPG_jpg.rf.9a7d680b73d40b7f57e4788c75d35faa.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [266, 395, 349, 530], \"label\": \"cracked insulator\"},\n {\"box_2d\": [468, 393, 560, 519], \"label\": \"cracked insulator\"}\n]\n```", "correct": false, "input_tokens": 1217, "output_tokens": 84, "elapsed_seconds": 56.647775499965064, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5049505233764648, "attempts": 1, "retries": 0, "total_seconds": 57.5284}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 223, "image": "signatures_image_176_png_jpg.rf.ba5b095c7ba79857b44be19e553b8621.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [529, 183, 612, 260], \"label\": \"signature\"},\n {\"box_2d\": [551, 656, 586, 717], \"label\": \"signature\"},\n {\"box_2d\": [592, 806, 634, 896], \"label\": \"signature\"},\n {\"box_2d\": [562, 452, 598, 487], \"label\": \"signature\"}\n]\n```", "correct": true, "input_tokens": 1228, "output_tokens": 148, "elapsed_seconds": 44.57624608289916, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.801980197429657, "attempts": 1, "retries": 0, "total_seconds": 44.8544}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 224, "image": "floorplan-windows-doors_10363_png.rf.022a393bcce41347db46c0ae8f821ac1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [729, 349, 801, 419], \"label\": \"door\"},\n {\"box_2d\": [639, 369, 699, 439], \"label\": \"door\"},\n {\"box_2d\": [602, 315, 646, 359], \"label\": \"door\"},\n {\"box_2d\": [600, 694, 672, 712], \"label\": \"window\"},\n {\"box_2d\": [485, 694, 535, 712], \"label\": \"window\"},\n {\"box_2d\": [459, 77, 588, 96], \"label\": \"window\"},\n {\"box_2d\": [537, 636, 589, 759], \"label\": \"door\"},\n {\"box_2d\": [283, 686, 317, 709], \"label\": \"window\"},\n {\"box_2d\": [171, 637, 220, 761], \"label\": \"door\"},\n {\"box_2d\": [129, 692, 165, 710], \"label\": \"window\"},\n {\"box_2d\": [259, 528, 302, 577], \"label\": \"door\"},\n {\"box_2d\": [248, 387, 293, 439], \"label\": \"door\"},\n {\"box_2d\": [205, 313, 240, 355], \"label\": \"door\"},\n {\"box_2d\": [175, 246, 226, 304], \"label\": \"door\"},\n {\"box_2d\": [169, 444, 222, 502], \"label\": \"door\"},\n {\"box_2d\": [329, 81, 356, 100], \"label\": \"window\"},\n {\"box_2d\": [110, 80, 193, 100], \"label\": \"window\"}\n]\n```", "correct": true, "input_tokens": 1223, "output_tokens": 586, "elapsed_seconds": 8.301015250035562, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 19, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.843069314956665, "attempts": 1, "retries": 0, "total_seconds": 8.361}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 225, "image": "paper-parts_194472_30_jpg.rf.b0a602d4dcc7284ce0bac985bedfd7a6.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [93, 176, 213, 882], \"label\": \"paragraph\"},\n {\"box_2d\": [233, 176, 248, 417], \"label\": \"paragraph\"},\n {\"box_2d\": [267, 176, 353, 882], \"label\": \"paragraph\"},\n {\"box_2d\": [381, 421, 529, 700], \"label\": \"figure\"},\n {\"box_2d\": [552, 446, 567, 672], \"label\": \"figure caption\"},\n {\"box_2d\": [586, 537, 623, 683], \"label\": \"equation\"},\n {\"box_2d\": [592, 235, 606, 511], \"label\": \"paragraph\"},\n {\"box_2d\": [630, 403, 667, 655], \"label\": \"equation\"},\n {\"box_2d\": [669, 453, 684, 605], \"label\": \"equation\"},\n {\"box_2d\": [703, 456, 740, 882], \"label\": \"equation\"},\n {\"box_2d\": [748, 176, 798, 882], \"label\": \"paragraph\"},\n {\"box_2d\": [817, 514, 860, 646], \"label\": \"equation\"},\n {\"box_2d\": [826, 235, 841, 509], \"label\": \"paragraph\"},\n {\"box_2d\": [868, 391, 883, 667], \"label\": \"equation\"},\n {\"box_2d\": [886, 520, 899, 538], \"label\": \"page number\"}\n]\n```", "correct": false, "input_tokens": 1248, "output_tokens": 523, "elapsed_seconds": 7.774597499985248, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7413860559463501, "attempts": 1, "retries": 0, "total_seconds": 7.819}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 226, "image": "IMG_6641_jpeg_jpg.rf.d4a1ba083ff18ae1c9807cc69a86b03e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [568, 5, 599, 196], \"label\": \"blue poker chip\"},\n {\"box_2d\": [592, 2, 616, 195], \"label\": \"blue poker chip\"},\n {\"box_2d\": [610, 4, 634, 195], \"label\": \"blue poker chip\"},\n {\"box_2d\": [626, 2, 653, 195], \"label\": \"blue poker chip\"},\n {\"box_2d\": [644, 1, 672, 195], \"label\": \"blue poker chip\"},\n {\"box_2d\": [659, 0, 689, 195], \"label\": \"blue poker chip\"},\n {\"box_2d\": [676, 1, 706, 193], \"label\": \"blue poker chip\"},\n {\"box_2d\": [513, 198, 532, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [530, 196, 549, 376], \"label\": \"green poker chip\"},\n {\"box_2d\": [546, 196, 566, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [563, 196, 585, 376], \"label\": \"green poker chip\"},\n {\"box_2d\": [579, 196, 601, 376], \"label\": \"green poker chip\"},\n {\"box_2d\": [595, 196, 619, 376], \"label\": \"green poker chip\"},\n {\"box_2d\": [611, 196, 637, 375], \"label\": \"green poker chip\"},\n {\"box_2d\": [628, 196, 655, 376], \"label\": \"green poker chip\"},\n {\"box_2d\": [644, 195, 674, 375], \"label\": \"green poker chip\"},\n {\"box_2d\": [661, 195, 691, 375], \"label\": \"green poker chip\"},\n {\"box_2d\": [676, 195, 709, 376], \"label\": \"green poker chip\"},\n {\"box_2d\": [428, 384, 449, 558], \"label\": \"red poker chip\"},\n {\"box_2d\": [445, 384, 466, 562], \"label\": \"red poker chip\"},\n {\"box_2d\": [463, 386, 483, 562], \"label\": \"red poker chip\"},\n {\"box_2d\": [480, 386, 499, 562], \"label\": \"red poker chip\"},\n {\"box_2d\": [496, 385, 515, 563], \"label\": \"red poker chip\"},\n {\"box_2d\": [513, 384, 532, 562], \"label\": \"red poker chip\"},\n {\"box_2d\": [530, 384, 549, 563], \"label\": \"red poker chip\"},\n {\"box_2d\": [546, 384, 567, 563], \"label\": \"red poker chip\"},\n {\"box_2d\": [563, 386, 584, 564], \"label\": \"red poker chip\"},\n {\"box_2d\": [578, 386, 601, 564], \"label\": \"red poker chip\"},\n {\"box_2d\": [595, 385, 619, 564], \"label\": \"red poker chip\"},\n {\"box_2d\": [611, 386, 636, 565], \"label\": \"red poker chip\"},\n {\"box_2d\": [628, 387, 655, 565], \"label\": \"red poker chip\"},\n {\"box_2d\": [644, 386, 672, 566], \"label\": \"red poker chip\"},\n {\"box_2d\": [661, 386, 690, 566], \"label\": \"red poker chip\"},\n {\"box_2d\": [676, 386, 709, 567], \"label\": \"red poker chip\"},\n {\"box_2d\": [551, 571, 576, 758], \"label\": \"white poker chip\"},\n {\"box_2d\": [572, 571, 594, 758], \"label\": \"white poker chip\"},\n {\"box_2d\": [588, 570, 611, 759], \"label\": \"white poker chip\"},\n {\"box_2d\": [606, 572, 629, 759], \"label\": \"white poker chip\"},\n {\"box_2d\": [622, 573, 648, 760], \"label\": \"white poker chip\"},\n {\"box_2d\": [639, 574, 666, 760], \"label\": \"white poker chip\"},\n {\"box_2d\": [655, 573, 684, 761], \"label\": \"white poker chip\"},\n {\"box_2d\": [671, 573, 702, 762], \"label\": \"white poker chip\"},\n {\"box_2d\": [555, 755, 616, 958], \"label\": \"orange poker chip\"},\n {\"box_2d\": [591, 759, 634, 959], \"label\": \"orange poker chip\"},\n {\"box_2d\": [609, 759, 652, 959], \"label\": \"orange poker chip\"},\n {\"box_2d\": [626, 759, 670, 960], \"label\": \"orange poker chip\"},\n {\"box_2d\": [644, 760, 689, 962], \"label\": \"orange poker chip\"},\n {\"box_2d\": [661, 762, 707, 963], \"label\": \"orange poker chip\"},\n {\"box_2d\": [677, 762, 726, 963], \"label\": \"orange poker chip\"}\n]\n```", "correct": true, "input_tokens": 1243, "output_tokens": 1762, "elapsed_seconds": 24.13257258303929, "metadata": {"match_method": "map", "num_predictions": 49, "num_ground_truth": 49, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 24.1572}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 227, "image": "69_jpg.rf.832734e487772068d6b9bf469788de8f.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [538, 483, 745, 700], \"label\": \"blood sample tube\"},\n {\"box_2d\": [439, 495, 519, 736], \"label\": \"blood sample tube\"},\n {\"box_2d\": [19, 636, 323, 748], \"label\": \"blood sample tube\"},\n {\"box_2d\": [81, 588, 405, 634], \"label\": \"blood sample tube\"},\n {\"box_2d\": [352, 281, 411, 517], \"label\": \"blood sample tube\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 190, "elapsed_seconds": 4.445832333061844, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 4.4614}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 228, "image": "uav20221018_ixfZ_3857_431_png.rf.d4d8056faccd6284b96584515af21de0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [72, 249, 108, 281], \"label\": \"banana tree\"},\n {\"box_2d\": [27, 179, 82, 227], \"label\": \"banana tree\"},\n {\"box_2d\": [0, 239, 44, 286], \"label\": \"banana tree\"},\n {\"box_2d\": [0, 429, 53, 474], \"label\": \"banana tree\"},\n {\"box_2d\": [32, 492, 83, 534], \"label\": \"banana tree\"},\n {\"box_2d\": [70, 424, 114, 480], \"label\": \"banana tree\"},\n {\"box_2d\": [110, 494, 145, 530], \"label\": \"banana tree\"},\n {\"box_2d\": [140, 434, 182, 483], \"label\": \"banana tree\"},\n {\"box_2d\": [174, 491, 217, 540], \"label\": \"banana tree\"},\n {\"box_2d\": [208, 438, 252, 489], \"label\": \"banana tree\"},\n {\"box_2d\": [237, 490, 290, 532], \"label\": \"banana tree\"},\n {\"box_2d\": [18, 661, 61, 703], \"label\": \"banana tree\"},\n {\"box_2d\": [0, 706, 34, 756], \"label\": \"banana tree\"},\n {\"box_2d\": [46, 712, 99, 757], \"label\": \"banana tree\"},\n {\"box_2d\": [90, 657, 129, 704], \"label\": \"banana tree\"},\n {\"box_2d\": [123, 713, 166, 761], \"label\": \"banana tree\"},\n {\"box_2d\": [163, 668, 200, 700], \"label\": \"banana tree\"},\n {\"box_2d\": [191, 716, 236, 755], \"label\": \"banana tree\"},\n {\"box_2d\": [228, 670, 265, 706], \"label\": \"banana tree\"},\n {\"box_2d\": [262, 720, 303, 755], \"label\": \"banana tree\"},\n {\"box_2d\": [303, 675, 345, 709], \"label\": \"banana tree\"},\n {\"box_2d\": [332, 725, 376, 764], \"label\": \"banana tree\"},\n {\"box_2d\": [371, 671, 412, 705], \"label\": \"banana tree\"},\n {\"box_2d\": [36, 903, 74, 938], \"label\": \"banana tree\"},\n {\"box_2d\": [75, 956, 114, 992], \"label\": \"banana tree\"},\n {\"box_2d\": [108, 898, 152, 941], \"label\": \"banana tree\"},\n {\"box_2d\": [134, 954, 178, 996], \"label\": \"banana tree\"},\n {\"box_2d\": [181, 916, 214, 959], \"label\": \"banana tree\"},\n {\"box_2d\": [205, 959, 256, 999], \"label\": \"banana tree\"},\n {\"box_2d\": [250, 922, 287, 955], \"label\": \"banana tree\"},\n {\"box_2d\": [275, 969, 319, 999], \"label\": \"banana tree\"},\n {\"box_2d\": [319, 923, 359, 963], \"label\": \"banana tree\"},\n {\"box_2d\": [349, 973, 390, 999], \"label\": \"banana tree\"},\n {\"box_2d\": [387, 933, 429, 967], \"label\": \"banana tree\"},\n {\"box_2d\": [457, 936, 496, 973], \"label\": \"banana tree\"},\n {\"box_2d\": [524, 938, 560, 973], \"label\": \"banana tree\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 1249, "elapsed_seconds": 15.91738858295139, "metadata": {"match_method": "map", "num_predictions": 36, "num_ground_truth": 38, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9405940771102905, "attempts": 1, "retries": 0, "total_seconds": 16.0208}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 229, "image": "f39_jpg.rf.8a677bbf5bbbcde071dc3887db6e2b75.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 353, 376, 738], \"label\": \"wildfire\"},\n {\"box_2d\": [0, 255, 240, 560], \"label\": \"wildfire\"},\n {\"box_2d\": [0, 427, 603, 987], \"label\": \"wildfire\"},\n {\"box_2d\": [275, 650, 793, 1000], \"label\": \"wildfire\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 147, "elapsed_seconds": 17.47210241702851, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 17.6069}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 230, "image": "wood-log-detection_003_png_jpg.rf.34aeb3fc6262ec00696c0cc722964b3e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [56, 275, 92, 319], \"label\": \"log cross-section\"},\n {\"box_2d\": [86, 248, 117, 291], \"label\": \"log cross-section\"},\n {\"box_2d\": [88, 294, 122, 338], \"label\": \"log cross-section\"},\n {\"box_2d\": [84, 330, 111, 358], \"label\": \"log cross-section\"},\n {\"box_2d\": [73, 353, 102, 394], \"label\": \"log cross-section\"},\n {\"box_2d\": [52, 419, 80, 456], \"label\": \"log cross-section\"},\n {\"box_2d\": [103, 408, 128, 442], \"label\": \"log cross-section\"},\n {\"box_2d\": [103, 333, 138, 381], \"label\": \"log cross-section\"},\n {\"box_2d\": [117, 261, 148, 305], \"label\": \"log cross-section\"},\n {\"box_2d\": [109, 216, 138, 252], \"label\": \"log cross-section\"},\n {\"box_2d\": [130, 173, 159, 225], \"label\": \"log cross-section\"},\n {\"box_2d\": [138, 223, 173, 273], \"label\": \"log cross-section\"},\n {\"box_2d\": [147, 286, 177, 327], \"label\": \"log cross-section\"},\n {\"box_2d\": [134, 323, 169, 372], \"label\": \"log cross-section\"},\n {\"box_2d\": [134, 377, 167, 412], \"label\": \"log cross-section\"},\n {\"box_2d\": [144, 408, 177, 447], \"label\": \"log cross-section\"},\n {\"box_2d\": [112, 448, 141, 484], \"label\": \"log cross-section\"},\n {\"box_2d\": [138, 456, 169, 491], \"label\": \"log cross-section\"},\n {\"box_2d\": [116, 488, 147, 528], \"label\": \"log cross-section\"},\n {\"box_2d\": [139, 492, 172, 536], \"label\": \"log cross-section\"},\n {\"box_2d\": [106, 534, 138, 577], \"label\": \"log cross-section\"},\n {\"box_2d\": [134, 531, 167, 567], \"label\": \"log cross-section\"},\n {\"box_2d\": [109, 575, 145, 623], \"label\": \"log cross-section\"},\n {\"box_2d\": [83, 608, 120, 658], \"label\": \"log cross-section\"},\n {\"box_2d\": [136, 636, 169, 666], \"label\": \"log cross-section\"},\n {\"box_2d\": [125, 675, 158, 720], \"label\": \"log cross-section\"},\n {\"box_2d\": [142, 600, 178, 645], \"label\": \"log cross-section\"},\n {\"box_2d\": [166, 647, 194, 681], \"label\": \"log cross-section\"},\n {\"box_2d\": [181, 667, 206, 703], \"label\": \"log cross-section\"},\n {\"box_2d\": [198, 659, 223, 691], \"label\": \"log cross-section\"},\n {\"box_2d\": [206, 683, 239, 728], \"label\": \"log cross-section\"},\n {\"box_2d\": [242, 681, 273, 722], \"label\": \"log cross-section\"},\n {\"box_2d\": [227, 611, 261, 653], \"label\": \"log cross-section\"},\n {\"box_2d\": [259, 638, 295, 683], \"label\": \"log cross-section\"},\n {\"box_2d\": [255, 588, 289, 631], \"label\": \"log cross-section\"},\n {\"box_2d\": [247, 541, 284, 586], \"label\": \"log cross-section\"},\n {\"box_2d\": [219, 559, 245, 594], \"label\": \"log cross-section\"},\n {\"box_2d\": [186, 595, 217, 641], \"label\": \"log cross-section\"},\n {\"box_2d\": [173, 567, 205, 598], \"label\": \"log cross-section\"},\n {\"box_2d\": [181, 527, 203, 558], \"label\": \"log cross-section\"},\n {\"box_2d\": [198, 525, 228, 561], \"label\": \"log cross-section\"},\n {\"box_2d\": [188, 483, 216, 525], \"label\": \"log cross-section\"},\n {\"box_2d\": [177, 430, 203, 469], \"label\": \"log cross-section\"},\n {\"box_2d\": [181, 397, 209, 431], \"label\": \"log cross-section\"},\n {\"box_2d\": [175, 341, 202, 378], \"label\": \"log cross-section\"},\n {\"box_2d\": [161, 255, 194, 294], \"label\": \"log cross-section\"},\n {\"box_2d\": [166, 203, 200, 250], \"label\": \"log cross-section\"},\n {\"box_2d\": [166, 155, 194, 198], \"label\": \"log cross-section\"},\n {\"box_2d\": [186, 156, 219, 206], \"label\": \"log cross-section\"},\n {\"box_2d\": [198, 211, 236, 264], \"label\": \"log cross-section\"},\n {\"box_2d\": [233, 178, 259, 216], \"label\": \"log cross-section\"},\n {\"box_2d\": [197, 278, 225, 316], \"label\": \"log cross-section\"},\n {\"box_2d\": [202, 309, 241, 359], \"label\": \"log cross-section\"},\n {\"box_2d\": [198, 362, 233, 408], \"label\": \"log cross-section\"},\n {\"box_2d\": [205, 412, 231, 448], \"label\": \"log cross-section\"},\n {\"box_2d\": [222, 398, 245, 436], \"label\": \"log cross-section\"},\n {\"box_2d\": [200, 448, 233, 492], \"label\": \"log cross-section\"},\n {\"box_2d\": [230, 438, 267, 491], \"label\": \"log cross-section\"},\n {\"box_2d\": [234, 355, 269, 405], \"label\": \"log cross-section\"},\n {\"box_2d\": [230, 491, 262, 528], \"label\": \"log cross-section\"},\n {\"box_2d\": [300, 209, 331, 252], \"label\": \"log cross-section\"},\n {\"box_2d\": [291, 250, 319, 286], \"label\": \"log cross-section\"},\n {\"box_2d\": [294, 297, 323, 338], \"label\": \"log cross-section\"},\n {\"box_2d\": [308, 344, 339, 383], \"label\": \"log cross-section\"},\n {\"box_2d\": [327, 305, 350, 342], \"label\": \"log cross-section\"},\n {\"box_2d\": [330, 266, 350, 303], \"label\": \"log cross-section\"},\n {\"box_2d\": [325, 372, 348, 417], \"label\": \"log cross-section\"},\n {\"box_2d\": [300, 411, 330, 452], \"label\": \"log cross-section\"},\n {\"box_2d\": [305, 462, 333, 498], \"label\": \"log cross-section\"},\n {\"box_2d\": [302, 509, 339, 553], \"label\": \"log cross-section\"},\n {\"box_2d\": [309, 597, 338, 634], \"label\": \"log cross-section\"},\n {\"box_2d\": [302, 655, 330, 692], \"label\": \"log cross-section\"},\n {\"box_2d\": [320, 556, 344, 594], \"label\": \"log cross-section\"},\n {\"box_2d\": [331, 491, 347, 525], \"label\": \"log cross-section\"}\n]\n```", "correct": true, "input_tokens": 1228, "output_tokens": 2741, "elapsed_seconds": 29.620387292001396, "metadata": {"match_method": "map", "num_predictions": 74, "num_ground_truth": 78, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9405940771102905, "attempts": 1, "retries": 0, "total_seconds": 29.6446}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 231, "image": "basketball-player-detection_boston-celtics-new-york-knicks-game-1-q1-04-28-04-20-0185_png.rf.5bf3baa6a3ce5adfe29dab142647c8bc.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [504, 452, 795, 509], \"label\": \"player\"},\n {\"box_2d\": [295, 571, 513, 643], \"label\": \"player\"},\n {\"box_2d\": [349, 616, 608, 670], \"label\": \"player\"},\n {\"box_2d\": [254, 141, 455, 187], \"label\": \"player\"},\n {\"box_2d\": [250, 455, 458, 505], \"label\": \"player\"},\n {\"box_2d\": [179, 378, 372, 421], \"label\": \"player\"},\n {\"box_2d\": [299, 297, 504, 331], \"label\": \"player\"},\n {\"box_2d\": [376, 279, 604, 333], \"label\": \"player\"},\n {\"box_2d\": [332, 470, 360, 488], \"label\": \"basketball\"},\n {\"box_2d\": [507, 412, 865, 463], \"label\": \"player\"},\n {\"box_2d\": [507, 412, 865, 463], \"label\": \"player taking jump shot\"},\n {\"box_2d\": [343, 152, 546, 220], \"label\": \"player\"},\n {\"box_2d\": [199, 622, 267, 655], \"label\": \"basket rim\"},\n {\"box_2d\": [258, 697, 469, 738], \"label\": \"referee\"},\n {\"box_2d\": [686, 553, 987, 628], \"label\": \"referee\"},\n {\"box_2d\": [213, 0, 416, 43], \"label\": \"referee\"},\n {\"box_2d\": [788, 591, 807, 603], \"label\": \"jersey number\"},\n {\"box_2d\": [650, 433, 680, 444], \"label\": \"jersey number\"},\n {\"box_2d\": [399, 646, 421, 654], \"label\": \"jersey number\"},\n {\"box_2d\": [400, 184, 420, 192], \"label\": \"jersey number\"},\n {\"box_2d\": [235, 400, 250, 410], \"label\": \"jersey number\"},\n {\"box_2d\": [311, 156, 330, 166], \"label\": \"jersey number\"},\n {\"box_2d\": [357, 616, 376, 628], \"label\": \"jersey number\"}\n]\n```", "correct": false, "input_tokens": 1251, "output_tokens": 805, "elapsed_seconds": 29.009297291981056, "metadata": {"match_method": "map", "num_predictions": 23, "num_ground_truth": 23, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7721828818321228, "attempts": 1, "retries": 0, "total_seconds": 29.145}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 232, "image": "construction-safety_ppe_0016_jpg.rf.d53d80274c0b6fdd6cccc30b2f5316b2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [278, 745, 396, 853], \"label\": \"safety helmet\"},\n {\"box_2d\": [322, 485, 429, 575], \"label\": \"safety helmet\"},\n {\"box_2d\": [322, 69, 434, 176], \"label\": \"safety helmet\"},\n {\"box_2d\": [287, 185, 375, 259], \"label\": \"safety helmet\"},\n {\"box_2d\": [306, 581, 419, 675], \"label\": \"safety helmet\"},\n {\"box_2d\": [326, 332, 424, 404], \"label\": \"safety helmet\"},\n {\"box_2d\": [362, 680, 459, 777], \"label\": \"safety helmet\"},\n {\"box_2d\": [465, 748, 862, 902], \"label\": \"safety vest\"},\n {\"box_2d\": [464, 573, 804, 699], \"label\": \"safety vest\"},\n {\"box_2d\": [482, 261, 850, 442], \"label\": \"safety vest\"},\n {\"box_2d\": [482, 690, 864, 798], \"label\": \"safety vest\"},\n {\"box_2d\": [477, 458, 787, 591], \"label\": \"safety vest\"},\n {\"box_2d\": [326, 252, 850, 444], \"label\": \"person\"},\n {\"box_2d\": [362, 601, 864, 798], \"label\": \"person\"},\n {\"box_2d\": [323, 440, 949, 591], \"label\": \"person\"},\n {\"box_2d\": [278, 672, 1000, 902], \"label\": \"person\"},\n {\"box_2d\": [307, 574, 888, 722], \"label\": \"person\"},\n {\"box_2d\": [322, 61, 1000, 297], \"label\": \"person\"},\n {\"box_2d\": [287, 134, 1000, 290], \"label\": \"person\"}\n]\n```", "correct": true, "input_tokens": 1222, "output_tokens": 671, "elapsed_seconds": 28.721036082948558, "metadata": {"match_method": "map", "num_predictions": 19, "num_ground_truth": 19, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 30.2097}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 233, "image": "ind_jpeg_jpg.rf.838960e9a8a04626878832d54c63b122.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [17, 23, 47, 309], \"label\": \"technical drawing table\"},\n {\"box_2d\": [17, 905, 47, 976], \"label\": \"technical drawing table\"},\n {\"box_2d\": [915, 208, 982, 976], \"label\": \"technical drawing table\"},\n {\"box_2d\": [558, 351, 569, 371], \"label\": \"dimension annotation\"},\n {\"box_2d\": [588, 276, 600, 304], \"label\": \"dimension annotation\"},\n {\"box_2d\": [480, 65, 505, 98], \"label\": \"dimension annotation\"},\n {\"box_2d\": [368, 76, 393, 111], \"label\": \"dimension annotation\"},\n {\"box_2d\": [359, 575, 378, 605], \"label\": \"dimension annotation\"},\n {\"box_2d\": [651, 345, 678, 379], \"label\": \"dimension annotation\"},\n {\"box_2d\": [661, 471, 682, 503], \"label\": \"dimension annotation\"},\n {\"box_2d\": [751, 584, 766, 601], \"label\": \"dimension annotation\"},\n {\"box_2d\": [805, 584, 819, 601], \"label\": \"dimension annotation\"},\n {\"box_2d\": [765, 554, 772, 569], \"label\": \"dimension annotation\"},\n {\"box_2d\": [753, 936, 768, 952], \"label\": \"dimension annotation\"},\n {\"box_2d\": [637, 851, 648, 868], \"label\": \"dimension annotation\"},\n {\"box_2d\": [637, 693, 648, 712], \"label\": \"dimension annotation\"},\n {\"box_2d\": [637, 770, 648, 791], \"label\": \"dimension annotation\"},\n {\"box_2d\": [793, 56, 808, 72], \"label\": \"dimension annotation\"}\n]\n```", "correct": false, "input_tokens": 1233, "output_tokens": 635, "elapsed_seconds": 10.747882166993804, "metadata": {"match_method": "map", "num_predictions": 18, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6211221218109131, "attempts": 1, "retries": 0, "total_seconds": 10.7631}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 234, "image": "frame_0102_jpg.rf.17d6c3b1d93b1bd2e8d8880687a7f794.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [39, 340, 74, 360], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [39, 394, 71, 415], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [46, 450, 79, 471], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [48, 505, 81, 526], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [133, 502, 169, 524], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [130, 444, 169, 466], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [125, 387, 161, 409], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [123, 331, 159, 353], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [217, 333, 258, 357], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [224, 391, 265, 415], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [230, 451, 272, 475], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [248, 511, 290, 535], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [350, 507, 393, 531], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [332, 444, 376, 468], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [323, 381, 368, 407], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [315, 323, 357, 347], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [417, 308, 460, 334], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [427, 367, 473, 393], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [437, 429, 482, 455], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [454, 491, 499, 517], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [572, 502, 619, 529], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [558, 437, 605, 464], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [542, 374, 589, 401], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [527, 313, 574, 339], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [637, 302, 684, 327], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [652, 362, 699, 389], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [670, 427, 718, 453], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [686, 491, 735, 518], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [801, 488, 847, 514], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [785, 424, 830, 449], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [765, 359, 811, 385], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [746, 297, 793, 323], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [860, 305, 906, 331], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [884, 367, 929, 393], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [898, 431, 943, 456], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [918, 495, 962, 520], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [960, 295, 1000, 317], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [979, 352, 1000, 376], \"label\": \"soda bottle cap\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 1374, "elapsed_seconds": 50.261876125005074, "metadata": {"match_method": "map", "num_predictions": 38, "num_ground_truth": 38, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 50.8149}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 235, "image": "tile_559_jpg.rf.2e36153b3f0a023e43755fc06e0c32dc.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [5, 326, 26, 378], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [216, 451, 238, 535], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [324, 249, 360, 349], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [666, 666, 686, 750], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [740, 354, 759, 430], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [884, 0, 904, 78], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [958, 550, 980, 601], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [928, 774, 954, 860], \"label\": \"ship in SAR satellite image\"}\n]\n```", "correct": true, "input_tokens": 1229, "output_tokens": 310, "elapsed_seconds": 5.59309600002598, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 5.6386}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 236, "image": "frame_0555_jpg.rf.e5603989fbc45aefce0b30f65bdbe361.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [786, 241, 862, 288], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [611, 232, 689, 279], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [461, 235, 535, 277], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [252, 255, 314, 291], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [83, 235, 144, 281], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 270, 39, 305], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 344, 46, 384], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [26, 431, 80, 463], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 597, 47, 622], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [46, 539, 105, 569], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [140, 541, 198, 572], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [65, 348, 128, 391], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [162, 337, 231, 372], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [219, 353, 276, 389], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [238, 442, 302, 477], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [298, 370, 362, 408], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [375, 435, 437, 475], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [406, 357, 465, 394], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [493, 348, 558, 386], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [465, 550, 526, 584], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [423, 653, 485, 694], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [585, 580, 653, 622], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [729, 604, 803, 645], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [769, 485, 849, 526], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [797, 450, 882, 490], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [741, 346, 822, 392], \"label\": \"garlic on conveyor\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 934, "elapsed_seconds": 14.690984125016257, "metadata": {"match_method": "map", "num_predictions": 26, "num_ground_truth": 23, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9097486734390259, "attempts": 1, "retries": 0, "total_seconds": 14.8284}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 237, "image": "DJI_0236_JPG_jpg.rf.d7ac178bd4662b9ae881e21c92284693.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [723, 556, 895, 626], \"label\": \"excavator\"},\n {\"box_2d\": [461, 386, 491, 437], \"label\": \"dump truck\"},\n {\"box_2d\": [415, 229, 441, 274], \"label\": \"dump truck\"},\n {\"box_2d\": [378, 543, 415, 561], \"label\": \"concrete mixer\"},\n {\"box_2d\": [163, 822, 365, 952], \"label\": \"tower crane\"},\n {\"box_2d\": [202, 930, 829, 1000], \"label\": \"tower crane\"}\n]\n```", "correct": true, "input_tokens": 1209, "output_tokens": 224, "elapsed_seconds": 38.5558974170126, "metadata": {"match_method": "map", "num_predictions": 6, "num_ground_truth": 6, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 39.7018}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 238, "image": "9999981_00000_d_0000108_jpg.rf.808757c317fef3db00edefab735a3c05.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [540, 326, 628, 377], \"label\": \"car\"},\n {\"box_2d\": [925, 452, 1000, 527], \"label\": \"car\"},\n {\"box_2d\": [786, 735, 871, 796], \"label\": \"car\"},\n {\"box_2d\": [812, 761, 899, 821], \"label\": \"car\"},\n {\"box_2d\": [540, 738, 608, 809], \"label\": \"car\"},\n {\"box_2d\": [367, 655, 426, 715], \"label\": \"car\"},\n {\"box_2d\": [392, 571, 502, 687], \"label\": \"bus\"},\n {\"box_2d\": [289, 231, 360, 271], \"label\": \"car\"},\n {\"box_2d\": [258, 483, 323, 523], \"label\": \"car\"},\n {\"box_2d\": [209, 495, 272, 542], \"label\": \"car\"},\n {\"box_2d\": [83, 439, 146, 476], \"label\": \"car\"},\n {\"box_2d\": [0, 405, 55, 440], \"label\": \"car\"},\n {\"box_2d\": [199, 405, 266, 446], \"label\": \"car\"},\n {\"box_2d\": [61, 148, 170, 200], \"label\": \"truck\"},\n {\"box_2d\": [119, 19, 203, 60], \"label\": \"van\"},\n {\"box_2d\": [65, 8, 121, 39], \"label\": \"car\"},\n {\"box_2d\": [288, 60, 355, 92], \"label\": \"van\"},\n {\"box_2d\": [373, 86, 427, 118], \"label\": \"car\"},\n {\"box_2d\": [535, 130, 605, 169], \"label\": \"van\"},\n {\"box_2d\": [908, 196, 982, 239], \"label\": \"tricycle\"},\n {\"box_2d\": [866, 391, 900, 412], \"label\": \"motorcycle\"},\n {\"box_2d\": [864, 391, 891, 405], \"label\": \"person\"},\n {\"box_2d\": [891, 342, 912, 356], \"label\": \"person\"},\n {\"box_2d\": [708, 567, 730, 581], \"label\": \"person\"},\n {\"box_2d\": [306, 552, 333, 568], \"label\": \"person\"},\n {\"box_2d\": [387, 770, 402, 778], \"label\": \"person\"},\n {\"box_2d\": [427, 751, 443, 761], \"label\": \"person\"},\n {\"box_2d\": [24, 407, 48, 415], \"label\": \"person\"},\n {\"box_2d\": [928, 954, 963, 978], \"label\": \"motorcycle\"},\n {\"box_2d\": [934, 957, 962, 978], \"label\": \"person\"},\n {\"box_2d\": [982, 359, 1000, 372], \"label\": \"person\"},\n {\"box_2d\": [876, 26, 892, 43], \"label\": \"person\"},\n {\"box_2d\": [468, 15, 489, 36], \"label\": \"person\"},\n {\"box_2d\": [890, 341, 913, 358], \"label\": \"motorcycle\"},\n {\"box_2d\": [905, 197, 932, 214], \"label\": \"person\"},\n {\"box_2d\": [843, 187, 875, 206], \"label\": \"person\"},\n {\"box_2d\": [720, 692, 745, 704], \"label\": \"person\"}\n]\n```", "correct": false, "input_tokens": 1214, "output_tokens": 1253, "elapsed_seconds": 14.860334625001997, "metadata": {"match_method": "map", "num_predictions": 37, "num_ground_truth": 46, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5009717345237732, "attempts": 1, "retries": 0, "total_seconds": 14.9653}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 239, "image": "egg-detection_image381_jpg.rf.26b6182b9e6a29f3cd96c54029e234f8.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [708, 479, 770, 517], \"label\": \"egg\"},\n {\"box_2d\": [713, 417, 768, 456], \"label\": \"egg\"},\n {\"box_2d\": [678, 383, 738, 419], \"label\": \"egg\"},\n {\"box_2d\": [590, 302, 645, 338], \"label\": \"egg\"},\n {\"box_2d\": [533, 316, 597, 349], \"label\": \"egg\"},\n {\"box_2d\": [309, 427, 377, 458], \"label\": \"egg\"},\n {\"box_2d\": [244, 419, 308, 455], \"label\": \"egg\"},\n {\"box_2d\": [244, 465, 301, 505], \"label\": \"egg\"},\n {\"box_2d\": [290, 481, 352, 518], \"label\": \"egg\"},\n {\"box_2d\": [265, 559, 333, 591], \"label\": \"egg\"},\n {\"box_2d\": [165, 371, 220, 407], \"label\": \"egg\"},\n {\"box_2d\": [92, 385, 148, 421], \"label\": \"egg\"},\n {\"box_2d\": [64, 427, 125, 456], \"label\": \"egg\"},\n {\"box_2d\": [14, 433, 65, 466], \"label\": \"egg\"},\n {\"box_2d\": [31, 472, 91, 501], \"label\": \"egg\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 516, "elapsed_seconds": 7.9601304159732535, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 8.104}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 240, "image": "A16150-1C_2025_NCPT-175_JPG_jpg.rf.2c6e330d745fc218d09f761944d1e142.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [17, 250, 96, 275], \"label\": \"potato\"},\n {\"box_2d\": [96, 248, 161, 274], \"label\": \"potato\"},\n {\"box_2d\": [15, 297, 56, 316], \"label\": \"potato\"},\n {\"box_2d\": [54, 295, 105, 316], \"label\": \"potato\"},\n {\"box_2d\": [105, 289, 162, 315], \"label\": \"potato\"},\n {\"box_2d\": [163, 286, 242, 317], \"label\": \"potato\"},\n {\"box_2d\": [242, 286, 315, 317], \"label\": \"potato\"},\n {\"box_2d\": [9, 332, 91, 366], \"label\": \"potato\"},\n {\"box_2d\": [90, 330, 170, 362], \"label\": \"potato\"},\n {\"box_2d\": [170, 330, 243, 360], \"label\": \"potato\"},\n {\"box_2d\": [243, 325, 334, 361], \"label\": \"potato\"},\n {\"box_2d\": [335, 324, 422, 359], \"label\": \"potato\"},\n {\"box_2d\": [414, 281, 514, 317], \"label\": \"potato\"},\n {\"box_2d\": [443, 329, 516, 359], \"label\": \"potato\"},\n {\"box_2d\": [517, 324, 593, 355], \"label\": \"potato\"},\n {\"box_2d\": [579, 285, 646, 310], \"label\": \"potato\"},\n {\"box_2d\": [650, 275, 740, 315], \"label\": \"potato\"},\n {\"box_2d\": [749, 285, 816, 308], \"label\": \"potato\"},\n {\"box_2d\": [921, 283, 987, 311], \"label\": \"potato\"},\n {\"box_2d\": [922, 325, 1000, 351], \"label\": \"potato\"},\n {\"box_2d\": [919, 364, 999, 400], \"label\": \"potato\"},\n {\"box_2d\": [700, 327, 777, 355], \"label\": \"potato\"},\n {\"box_2d\": [779, 327, 853, 353], \"label\": \"potato\"},\n {\"box_2d\": [689, 368, 761, 399], \"label\": \"potato\"},\n {\"box_2d\": [762, 368, 847, 399], \"label\": \"potato\"},\n {\"box_2d\": [21, 378, 92, 410], \"label\": \"potato\"},\n {\"box_2d\": [110, 374, 189, 405], \"label\": \"potato\"},\n {\"box_2d\": [190, 375, 266, 406], \"label\": \"potato\"},\n {\"box_2d\": [266, 375, 350, 409], \"label\": \"potato\"},\n {\"box_2d\": [336, 365, 386, 390], \"label\": \"potato\"},\n {\"box_2d\": [387, 369, 486, 405], \"label\": \"potato\"},\n {\"box_2d\": [482, 371, 574, 407], \"label\": \"potato\"},\n {\"box_2d\": [6, 415, 88, 453], \"label\": \"potato\"},\n {\"box_2d\": [86, 414, 193, 459], \"label\": \"potato\"},\n {\"box_2d\": [194, 417, 272, 451], \"label\": \"potato\"},\n {\"box_2d\": [8, 467, 80, 495], \"label\": \"potato\"},\n {\"box_2d\": [80, 467, 139, 494], \"label\": \"potato\"},\n {\"box_2d\": [139, 457, 255, 496], \"label\": \"potato\"},\n {\"box_2d\": [266, 463, 333, 490], \"label\": \"potato\"},\n {\"box_2d\": [339, 460, 412, 489], \"label\": \"potato\"},\n {\"box_2d\": [411, 461, 502, 496], \"label\": \"potato\"},\n {\"box_2d\": [350, 415, 435, 448], \"label\": \"potato\"},\n {\"box_2d\": [437, 417, 526, 449], \"label\": \"potato\"},\n {\"box_2d\": [526, 416, 603, 448], \"label\": \"potato\"},\n {\"box_2d\": [603, 412, 688, 446], \"label\": \"potato\"},\n {\"box_2d\": [687, 412, 777, 443], \"label\": \"potato\"},\n {\"box_2d\": [729, 454, 825, 496], \"label\": \"potato\"},\n {\"box_2d\": [916, 455, 994, 488], \"label\": \"potato\"},\n {\"box_2d\": [6, 507, 74, 538], \"label\": \"potato\"},\n {\"box_2d\": [75, 508, 139, 538], \"label\": \"potato\"},\n {\"box_2d\": [139, 507, 243, 545], \"label\": \"potato\"},\n {\"box_2d\": [243, 505, 338, 547], \"label\": \"potato\"},\n {\"box_2d\": [8, 551, 79, 583], \"label\": \"potato\"},\n {\"box_2d\": [151, 551, 231, 583], \"label\": \"potato\"},\n {\"box_2d\": [232, 551, 319, 581], \"label\": \"potato\"},\n {\"box_2d\": [495, 497, 588, 535], \"label\": \"potato\"},\n {\"box_2d\": [494, 548, 569, 581], \"label\": \"potato\"},\n {\"box_2d\": [684, 495, 799, 547], \"label\": \"potato\"},\n {\"box_2d\": [690, 549, 746, 573], \"label\": \"potato\"},\n {\"box_2d\": [788, 542, 876, 580], \"label\": \"potato\"},\n {\"box_2d\": [923, 542, 1000, 573], \"label\": \"potato\"},\n {\"box_2d\": [5, 596, 70, 630], \"label\": \"potato\"},\n {\"box_2d\": [71, 595, 171, 632], \"label\": \"potato\"},\n {\"box_2d\": [168, 595, 256, 629], \"label\": \"potato\"},\n {\"box_2d\": [2, 630, 88, 667], \"label\": \"potato\"},\n {\"box_2d\": [86, 639, 157, 669], \"label\": \"potato\"},\n {\"box_2d\": [158, 639, 233, 669], \"label\": \"potato\"},\n {\"box_2d\": [259, 641, 323, 668], \"label\": \"potato\"},\n {\"box_2d\": [310, 593, 417, 636], \"label\": \"potato\"},\n {\"box_2d\": [372, 638, 439, 667], \"label\": \"potato\"},\n {\"box_2d\": [508, 638, 574, 663], \"label\": \"potato\"},\n {\"box_2d\": [649, 586, 731, 619], \"label\": \"potato\"},\n {\"box_2d\": [817, 625, 938, 663], \"label\": \"potato\"},\n {\"box_2d\": [62, 684, 132, 712], \"label\": \"potato\"},\n {\"box_2d\": [15, 728, 98, 761], \"label\": \"potato\"},\n {\"box_2d\": [21, 814, 83, 842], \"label\": \"potato\"},\n {\"box_2d\": [290, 767, 357, 790], \"label\": \"potato\"},\n {\"box_2d\": [330, 811, 388, 835], \"label\": \"potato\"},\n {\"box_2d\": [317, 850, 394, 878], \"label\": \"potato\"},\n {\"box_2d\": [442, 766, 518, 796], \"label\": \"potato\"},\n {\"box_2d\": [521, 722, 607, 762], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 2728, "elapsed_seconds": 31.306230165995657, "metadata": {"match_method": "map", "num_predictions": 81, "num_ground_truth": 81, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 32.0336}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 241, "image": "lot251_JPEG_jpg.rf.5ae906b5fd537b40c5fabb806ecf5fd9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [178, 342, 200, 381], \"label\": \"chicory seed\"},\n {\"box_2d\": [186, 362, 211, 405], \"label\": \"chicory seed\"},\n {\"box_2d\": [199, 282, 224, 323], \"label\": \"chicory seed\"},\n {\"box_2d\": [200, 317, 226, 358], \"label\": \"chicory seed\"},\n {\"box_2d\": [195, 424, 232, 461], \"label\": \"chicory seed\"},\n {\"box_2d\": [179, 497, 216, 525], \"label\": \"chicory seed\"},\n {\"box_2d\": [191, 538, 229, 565], \"label\": \"chicory seed\"},\n {\"box_2d\": [194, 577, 233, 605], \"label\": \"chicory seed\"},\n {\"box_2d\": [214, 519, 255, 541], \"label\": \"chicory seed\"},\n {\"box_2d\": [219, 492, 253, 520], \"label\": \"chicory seed\"},\n {\"box_2d\": [238, 591, 260, 632], \"label\": \"chicory seed\"},\n {\"box_2d\": [250, 535, 285, 571], \"label\": \"chicory seed\"},\n {\"box_2d\": [242, 638, 284, 667], \"label\": \"chicory seed\"},\n {\"box_2d\": [250, 661, 270, 697], \"label\": \"chicory seed\"},\n {\"box_2d\": [271, 658, 292, 699], \"label\": \"chicory seed\"},\n {\"box_2d\": [272, 603, 302, 638], \"label\": \"chicory seed\"},\n {\"box_2d\": [290, 646, 310, 686], \"label\": \"chicory seed\"},\n {\"box_2d\": [292, 697, 324, 736], \"label\": \"chicory seed\"},\n {\"box_2d\": [332, 749, 369, 777], \"label\": \"chicory seed\"},\n {\"box_2d\": [313, 669, 335, 712], \"label\": \"chicory seed\"},\n {\"box_2d\": [328, 697, 363, 731], \"label\": \"chicory seed\"},\n {\"box_2d\": [354, 730, 386, 767], \"label\": \"chicory seed\"},\n {\"box_2d\": [332, 664, 371, 689], \"label\": \"chicory seed\"},\n {\"box_2d\": [353, 676, 389, 713], \"label\": \"chicory seed\"},\n {\"box_2d\": [387, 745, 428, 767], \"label\": \"chicory seed\"},\n {\"box_2d\": [393, 763, 436, 785], \"label\": \"chicory seed\"},\n {\"box_2d\": [425, 782, 461, 806], \"label\": \"chicory seed\"},\n {\"box_2d\": [442, 758, 483, 780], \"label\": \"chicory seed\"},\n {\"box_2d\": [437, 736, 480, 760], \"label\": \"chicory seed\"},\n {\"box_2d\": [490, 756, 524, 794], \"label\": \"chicory seed\"},\n {\"box_2d\": [519, 760, 545, 800], \"label\": \"chicory seed\"},\n {\"box_2d\": [219, 250, 252, 286], \"label\": \"chicory seed\"},\n {\"box_2d\": [230, 261, 261, 297], \"label\": \"chicory seed\"},\n {\"box_2d\": [220, 300, 260, 330], \"label\": \"chicory seed\"},\n {\"box_2d\": [213, 337, 253, 366], \"label\": \"chicory seed\"},\n {\"box_2d\": [209, 367, 232, 409], \"label\": \"chicory seed\"},\n {\"box_2d\": [222, 400, 253, 437], \"label\": \"chicory seed\"},\n {\"box_2d\": [226, 355, 264, 377], \"label\": \"chicory seed\"},\n {\"box_2d\": [238, 375, 259, 419], \"label\": \"chicory seed\"},\n {\"box_2d\": [243, 418, 279, 459], \"label\": \"chicory seed\"},\n {\"box_2d\": [254, 452, 291, 485], \"label\": \"chicory seed\"},\n {\"box_2d\": [248, 289, 284, 317], \"label\": \"chicory seed\"},\n {\"box_2d\": [261, 241, 288, 281], \"label\": \"chicory seed\"},\n {\"box_2d\": [264, 276, 299, 307], \"label\": \"chicory seed\"},\n {\"box_2d\": [273, 310, 296, 351], \"label\": \"chicory seed\"},\n {\"box_2d\": [280, 193, 314, 230], \"label\": \"chicory seed\"},\n {\"box_2d\": [291, 211, 321, 248], \"label\": \"chicory seed\"},\n {\"box_2d\": [324, 208, 348, 246], \"label\": \"chicory seed\"},\n {\"box_2d\": [350, 173, 381, 212], \"label\": \"chicory seed\"},\n {\"box_2d\": [349, 197, 384, 231], \"label\": \"chicory seed\"},\n {\"box_2d\": [336, 242, 373, 264], \"label\": \"chicory seed\"},\n {\"box_2d\": [323, 260, 366, 283], \"label\": \"chicory seed\"},\n {\"box_2d\": [304, 269, 336, 302], \"label\": \"chicory seed\"},\n {\"box_2d\": [299, 281, 321, 322], \"label\": \"chicory seed\"},\n {\"box_2d\": [277, 337, 313, 373], \"label\": \"chicory seed\"},\n {\"box_2d\": [258, 373, 281, 413], \"label\": \"chicory seed\"},\n {\"box_2d\": [277, 373, 299, 412], \"label\": \"chicory seed\"},\n {\"box_2d\": [296, 363, 324, 405], \"label\": \"chicory seed\"},\n {\"box_2d\": [313, 321, 334, 363], \"label\": \"chicory seed\"},\n {\"box_2d\": [327, 285, 362, 323], \"label\": \"chicory seed\"},\n {\"box_2d\": [335, 337, 371, 375], \"label\": \"chicory seed\"},\n {\"box_2d\": [322, 360, 349, 400], \"label\": \"chicory seed\"},\n {\"box_2d\": [289, 407, 329, 429], \"label\": \"chicory seed\"},\n {\"box_2d\": [275, 421, 302, 464], \"label\": \"chicory seed\"},\n {\"box_2d\": [296, 439, 319, 480], \"label\": \"chicory seed\"},\n {\"box_2d\": [273, 485, 307, 525], \"label\": \"chicory seed\"},\n {\"box_2d\": [281, 547, 301, 591], \"label\": \"chicory seed\"},\n {\"box_2d\": [291, 510, 330, 535], \"label\": \"chicory seed\"},\n {\"box_2d\": [307, 476, 346, 500], \"label\": \"chicory seed\"},\n {\"box_2d\": [319, 421, 353, 461], \"label\": \"chicory seed\"},\n {\"box_2d\": [315, 452, 356, 480], \"label\": \"chicory seed\"},\n {\"box_2d\": [321, 398, 361, 419], \"label\": \"chicory seed\"},\n {\"box_2d\": [300, 550, 329, 591], \"label\": \"chicory seed\"},\n {\"box_2d\": [311, 569, 349, 604], \"label\": \"chicory seed\"},\n {\"box_2d\": [302, 608, 336, 646], \"label\": \"chicory seed\"},\n {\"box_2d\": [336, 619, 359, 661], \"label\": \"chicory seed\"},\n {\"box_2d\": [334, 524, 359, 567], \"label\": \"chicory seed\"},\n {\"box_2d\": [339, 568, 374, 607], \"label\": \"chicory seed\"},\n {\"box_2d\": [341, 491, 376, 522], \"label\": \"chicory seed\"},\n {\"box_2d\": [357, 505, 381, 546], \"label\": \"chicory seed\"},\n {\"box_2d\": [378, 509, 401, 551], \"label\": \"chicory seed\"},\n {\"box_2d\": [363, 548, 399, 581], \"label\": \"chicory seed\"},\n {\"box_2d\": [370, 575, 407, 609], \"label\": \"chicory seed\"},\n {\"box_2d\": [358, 597, 395, 631], \"label\": \"chicory seed\"},\n {\"box_2d\": [362, 631, 388, 671], \"label\": \"chicory seed\"},\n {\"box_2d\": [384, 634, 405, 676], \"label\": \"chicory seed\"},\n {\"box_2d\": [391, 602, 419, 638], \"label\": \"chicory seed\"},\n {\"box_2d\": [404, 632, 429, 672], \"label\": \"chicory seed\"},\n {\"box_2d\": [377, 711, 416, 740], \"label\": \"chicory seed\"},\n {\"box_2d\": [386, 691, 424, 725], \"label\": \"chicory seed\"},\n {\"box_2d\": [397, 674, 432, 707], \"label\": \"chicory seed\"},\n {\"box_2d\": [412, 666, 444, 698], \"label\": \"chicory seed\"},\n {\"box_2d\": [423, 709, 464, 738], \"label\": \"chicory seed\"},\n {\"box_2d\": [437, 693, 476, 727], \"label\": \"chicory seed\"},\n {\"box_2d\": [460, 726, 499, 753], \"label\": \"chicory seed\"},\n {\"box_2d\": [474, 704, 512, 737], \"label\": \"chicory seed\"},\n {\"box_2d\": [441, 650, 462, 692], \"label\": \"chicory seed\"},\n {\"box_2d\": [461, 654, 482, 698], \"label\": \"chicory seed\"},\n {\"box_2d\": [482, 667, 502, 709], \"label\": \"chicory seed\"},\n {\"box_2d\": [420, 608, 452, 646], \"label\": \"chicory seed\"},\n {\"box_2d\": [421, 583, 460, 619], \"label\": \"chicory seed\"},\n {\"box_2d\": [447, 609, 475, 648], \"label\": \"chicory seed\"},\n {\"box_2d\": [463, 614, 499, 655], \"label\": \"chicory seed\"},\n {\"box_2d\": [480, 623, 514, 663], \"label\": \"chicory seed\"},\n {\"box_2d\": [498, 632, 533, 671], \"label\": \"chicory seed\"},\n {\"box_2d\": [498, 662, 532, 698], \"label\": \"chicory seed\"},\n {\"box_2d\": [499, 683, 539, 717], \"label\": \"chicory seed\"},\n {\"box_2d\": [506, 724, 546, 749], \"label\": \"chicory seed\"},\n {\"box_2d\": [520, 698, 563, 728], \"label\": \"chicory seed\"},\n {\"box_2d\": [533, 736, 572, 765], \"label\": \"chicory seed\"},\n {\"box_2d\": [551, 714, 587, 748], \"label\": \"chicory seed\"},\n {\"box_2d\": [568, 706, 606, 738], \"label\": \"chicory seed\"},\n {\"box_2d\": [566, 688, 607, 711], \"label\": \"chicory seed\"},\n {\"box_2d\": [572, 668, 614, 695], \"label\": \"chicory seed\"},\n {\"box_2d\": [588, 655, 627, 686], \"label\": \"chicory seed\"},\n {\"box_2d\": [530, 660, 563, 696], \"label\": \"chicory seed\"},\n {\"box_2d\": [532, 628, 565, 667], \"label\": \"chicory seed\"},\n {\"box_2d\": [549, 625, 585, 664], \"label\": \"chicory seed\"},\n {\"box_2d\": [556, 597, 581, 639], \"label\": \"chicory seed\"},\n {\"box_2d\": [576, 608, 604, 656], \"label\": \"chicory seed\"},\n {\"box_2d\": [601, 596, 624, 642], \"label\": \"chicory seed\"},\n {\"box_2d\": [617, 602, 646, 643], \"label\": \"chicory seed\"},\n {\"box_2d\": [606, 635, 643, 670], \"label\": \"chicory seed\"},\n {\"box_2d\": [618, 721, 656, 758], \"label\": \"chicory seed\"},\n {\"box_2d\": [641, 712, 673, 752], \"label\": \"chicory seed\"},\n {\"box_2d\": [605, 698, 646, 720], \"label\": \"chicory seed\"},\n {\"box_2d\": [619, 672, 660, 699], \"label\": \"chicory seed\"},\n {\"box_2d\": [654, 671, 692, 704], \"label\": \"chicory seed\"},\n {\"box_2d\": [642, 641, 679, 678], \"label\": \"chicory seed\"},\n {\"box_2d\": [694, 645, 735, 667], \"label\": \"chicory seed\"},\n {\"box_2d\": [678, 602, 706, 645], \"label\": \"chicory seed\"},\n {\"box_2d\": [639, 585, 672, 623], \"label\": \"chicory seed\"},\n {\"box_2d\": [627, 559, 664, 586], \"label\": \"chicory seed\"},\n {\"box_2d\": [598, 553, 637, 582], \"label\": \"chicory seed\"},\n {\"box_2d\": [578, 556, 598, 603], \"label\": \"chicory seed\"},\n {\"box_2d\": [552, 543, 579, 589], \"label\": \"chicory seed\"},\n {\"box_2d\": [517, 567, 551, 608], \"label\": \"chicory seed\"},\n {\"box_2d\": [525, 589, 559, 629], \"label\": \"chicory seed\"},\n {\"box_2d\": [472, 594, 514, 622], \"label\": \"chicory seed\"},\n {\"box_2d\": [474, 576, 518, 601], \"label\": \"chicory seed\"},\n {\"box_2d\": [425, 553, 463, 587], \"label\": \"chicory seed\"},\n {\"box_2d\": [393, 550, 417, 593], \"label\": \"chicory seed\"},\n {\"box_2d\": [395, 488, 421, 532], \"label\": \"chicory seed\"},\n {\"box_2d\": [451, 553, 493, 575], \"label\": \"chicory seed\"},\n {\"box_2d\": [437, 535, 479, 556], \"label\": \"chicory seed\"},\n {\"box_2d\": [431, 517, 474, 538], \"label\": \"chicory seed\"},\n {\"box_2d\": [431, 495, 472, 519], \"label\": \"chicory seed\"},\n {\"box_2d\": [430, 473, 471, 496], \"label\": \"chicory seed\"},\n {\"box_2d\": [412, 461, 433, 505], \"label\": \"chicory seed\"},\n {\"box_2d\": [471, 488, 492, 534], \"label\": \"chicory seed\"},\n {\"box_2d\": [482, 513, 506, 552], \"label\": \"chicory seed\"},\n {\"box_2d\": [498, 554, 534, 581], \"label\": \"chicory seed\"},\n {\"box_2d\": [501, 536, 540, 562], \"label\": \"chicory seed\"},\n {\"box_2d\": [514, 516, 553, 548], \"label\": \"chicory seed\"},\n {\"box_2d\": [518, 494, 558, 526], \"label\": \"chicory seed\"},\n {\"box_2d\": [494, 464, 521, 505], \"label\": \"chicory seed\"},\n {\"box_2d\": [533, 472, 574, 504], \"label\": \"chicory seed\"},\n {\"box_2d\": [556, 492, 589, 534], \"label\": \"chicory seed\"},\n {\"box_2d\": [581, 494, 611, 537], \"label\": \"chicory seed\"},\n {\"box_2d\": [606, 511, 628, 553], \"label\": \"chicory seed\"},\n {\"box_2d\": [630, 531, 668, 554], \"label\": \"chicory seed\"},\n {\"box_2d\": [623, 503, 664, 525], \"label\": \"chicory seed\"},\n {\"box_2d\": [614, 486, 653, 509], \"label\": \"chicory seed\"},\n {\"box_2d\": [666, 520, 703, 560], \"label\": \"chicory seed\"},\n {\"box_2d\": [696, 552, 734, 577], \"label\": \"chicory seed\"},\n {\"box_2d\": [715, 580, 742, 623], \"label\": \"chicory seed\"},\n {\"box_2d\": [729, 622, 754, 667], \"label\": \"chicory seed\"},\n {\"box_2d\": [750, 591, 785, 629], \"label\": \"chicory seed\"},\n {\"box_2d\": [737, 576, 771, 616], \"label\": \"chicory seed\"},\n {\"box_2d\": [730, 541, 755, 585], \"label\": \"chicory seed\"},\n {\"box_2d\": [761, 525, 798, 557], \"label\": \"chicory seed\"},\n {\"box_2d\": [742, 502, 771, 543], \"label\": \"chicory seed\"},\n {\"box_2d\": [755, 485, 787, 528], \"label\": \"chicory seed\"},\n {\"box_2d\": [773, 474, 809, 512], \"label\": \"chicory seed\"},\n {\"box_2d\": [712, 497, 747, 535], \"label\": \"chicory seed\"},\n {\"box_2d\": [692, 485, 720, 527], \"label\": \"chicory seed\"},\n {\"box_2d\": [673, 481, 704, 523], \"label\": \"chicory seed\"},\n {\"box_2d\": [735, 463, 771, 500], \"label\": \"chicory seed\"},\n {\"box_2d\": [716, 461, 748, 503], \"label\": \"chicory seed\"},\n {\"box_2d\": [691, 450, 731, 479], \"label\": \"chicory seed\"},\n {\"box_2d\": [742, 420, 779, 458], \"label\": \"chicory seed\"},\n {\"box_2d\": [759, 401, 799, 426], \"label\": \"chicory seed\"},\n {\"box_2d\": [712, 419, 750, 447], \"label\": \"chicory seed\"},\n {\"box_2d\": [703, 401, 745, 427], \"label\": \"chicory seed\"},\n {\"box_2d\": [755, 347, 776, 389], \"label\": \"chicory seed\"},\n {\"box_2d\": [738, 365, 762, 407], \"label\": \"chicory seed\"},\n {\"box_2d\": [714, 355, 739, 399], \"label\": \"chicory seed\"},\n {\"box_2d\": [696, 361, 718, 405], \"label\": \"chicory seed\"},\n {\"box_2d\": [742, 283, 769, 329], \"label\": \"chicory seed\"},\n {\"box_2d\": [723, 317, 752, 357], \"label\": \"chicory seed\"},\n {\"box_2d\": [702, 321, 736, 359], \"label\": \"chicory seed\"},\n {\"box_2d\": [718, 284, 749, 327], \"label\": \"chicory seed\"},\n {\"box_2d\": [696, 281, 725, 320], \"label\": \"chicory seed\"},\n {\"box_2d\": [702, 245, 730, 284], \"label\": \"chicory seed\"},\n {\"box_2d\": [680, 244, 705, 286], \"label\": \"chicory seed\"},\n {\"box_2d\": [660, 203, 699, 234], \"label\": \"chicory seed\"},\n {\"box_2d\": [647, 232, 688, 255], \"label\": \"chicory seed\"},\n {\"box_2d\": [639, 255, 680, 280], \"label\": \"chicory seed\"},\n {\"box_2d\": [654, 280, 696, 303], \"label\": \"chicory seed\"},\n {\"box_2d\": [678, 302, 704, 345], \"label\": \"chicory seed\"},\n {\"box_2d\": [657, 301, 687, 342], \"label\": \"chicory seed\"},\n {\"box_2d\": [671, 342, 709, 372], \"label\": \"chicory seed\"},\n {\"box_2d\": [654, 371, 681, 412], \"label\": \"chicory seed\"},\n {\"box_2d\": [682, 420, 704, 461], \"label\": \"chicory seed\"},\n {\"box_2d\": [662, 444, 684, 488], \"label\": \"chicory seed\"},\n {\"box_2d\": [630, 466, 672, 494], \"label\": \"chicory seed\"},\n {\"box_2d\": [644, 427, 682, 465], \"label\": \"chicory seed\"},\n {\"box_2d\": [654, 405, 695, 431], \"label\": \"chicory seed\"},\n {\"box_2d\": [623, 424, 659, 462], \"label\": \"chicory seed\"},\n {\"box_2d\": [603, 448, 626, 491], \"label\": \"chicory seed\"},\n {\"box_2d\": [584, 451, 606, 493], \"label\": \"chicory seed\"},\n {\"box_2d\": [545, 455, 584, 481], \"label\": \"chicory seed\"},\n {\"box_2d\": [537, 431, 579, 460], \"label\": \"chicory seed\"},\n {\"box_2d\": [512, 444, 537, 486], \"label\": \"chicory seed\"},\n {\"box_2d\": [471, 430, 512, 456], \"label\": \"chicory seed\"},\n {\"box_2d\": [491, 415, 533, 441], \"label\": \"chicory seed\"},\n {\"box_2d\": [530, 411, 570, 445], \"label\": \"chicory seed\"},\n {\"box_2d\": [524, 394, 563, 426], \"label\": \"chicory seed\"},\n {\"box_2d\": [513, 387, 551, 419], \"label\": \"chicory seed\"},\n {\"box_2d\": [565, 399, 594, 440], \"label\": \"chicory seed\"},\n {\"box_2d\": [588, 407, 621, 448], \"label\": \"chicory seed\"},\n {\"box_2d\": [605, 410, 643, 448], \"label\": \"chicory seed\"},\n {\"box_2d\": [618, 375, 658, 407], \"label\": \"chicory seed\"},\n {\"box_2d\": [623, 348, 656, 386], \"label\": \"chicory seed\"},\n {\"box_2d\": [644, 330, 669, 372], \"label\": \"chicory seed\"},\n {\"box_2d\": [617, 312, 659, 344], \"label\": \"chicory seed\"},\n {\"box_2d\": [601, 336, 625, 379], \"label\": \"chicory seed\"},\n {\"box_2d\": [590, 366, 612, 409], \"label\": \"chicory seed\"},\n {\"box_2d\": [584, 325, 606, 369], \"label\": \"chicory seed\"},\n {\"box_2d\": [569, 341, 592, 382], \"label\": \"chicory seed\"},\n {\"box_2d\": [525, 360, 562, 391], \"label\": \"chicory seed\"},\n {\"box_2d\": [518, 326, 552, 362], \"label\": \"chicory seed\"},\n {\"box_2d\": [549, 325, 574, 369], \"label\": \"chicory seed\"},\n {\"box_2d\": [522, 294, 559, 331], \"label\": \"chicory seed\"},\n {\"box_2d\": [557, 296, 586, 339], \"label\": \"chicory seed\"},\n {\"box_2d\": [573, 277, 600, 320], \"label\": \"chicory seed\"},\n {\"box_2d\": [591, 270, 614, 311], \"label\": \"chicory seed\"},\n {\"box_2d\": [611, 277, 636, 319], \"label\": \"chicory seed\"},\n {\"box_2d\": [628, 268, 654, 310], \"label\": \"chicory seed\"},\n {\"box_2d\": [616, 239, 648, 280], \"label\": \"chicory seed\"},\n {\"box_2d\": [602, 231, 627, 273], \"label\": \"chicory seed\"},\n {\"box_2d\": [618, 195, 658, 227], \"label\": \"chicory seed\"},\n {\"box_2d\": [579, 241, 602, 282], \"label\": \"chicory seed\"},\n {\"box_2d\": [556, 256, 580, 298], \"label\": \"chicory seed\"},\n {\"box_2d\": [536, 252, 560, 294], \"label\": \"chicory seed\"},\n {\"box_2d\": [517, 252, 540, 292], \"label\": \"chicory seed\"},\n {\"box_2d\": [574, 209, 613, 243], \"label\": \"chicory seed\"},\n {\"box_2d\": [560, 195, 599, 229], \"label\": \"chicory seed\"},\n {\"box_2d\": [566, 166, 601, 202], \"label\": \"chicory seed\"},\n {\"box_2d\": [559, 146, 589, 185], \"label\": \"chicory seed\"},\n {\"box_2d\": [529, 143, 555, 187], \"label\": \"chicory seed\"},\n {\"box_2d\": [504, 141, 533, 181], \"label\": \"chicory seed\"},\n {\"box_2d\": [454, 149, 496, 168], \"label\": \"chicory seed\"},\n {\"box_2d\": [498, 184, 519, 220], \"label\": \"chicory seed\"},\n {\"box_2d\": [499, 209, 539, 236], \"label\": \"chicory seed\"},\n {\"box_2d\": [532, 222, 572, 251], \"label\": \"chicory seed\"},\n {\"box_2d\": [502, 235, 541, 260], \"label\": \"chicory seed\"},\n {\"box_2d\": [473, 197, 493, 239], \"label\": \"chicory seed\"},\n {\"box_2d\": [451, 184, 471, 228], \"label\": \"chicory seed\"},\n {\"box_2d\": [399, 156, 440, 177], \"label\": \"chicory seed\"},\n {\"box_2d\": [404, 179, 446, 208], \"label\": \"chicory seed\"},\n {\"box_2d\": [409, 194, 449, 224], \"label\": \"chicory seed\"},\n {\"box_2d\": [410, 217, 448, 247], \"label\": \"chicory seed\"},\n {\"box_2d\": [454, 240, 495, 267], \"label\": \"chicory seed\"},\n {\"box_2d\": [453, 260, 492, 293], \"label\": \"chicory seed\"},\n {\"box_2d\": [490, 263, 513, 304], \"label\": \"chicory seed\"},\n {\"box_2d\": [484, 304, 519, 339], \"label\": \"chicory seed\"},\n {\"box_2d\": [489, 339, 526, 362], \"label\": \"chicory seed\"},\n {\"box_2d\": [485, 360, 526, 381], \"label\": \"chicory seed\"},\n {\"box_2d\": [480, 381, 521, 405], \"label\": \"chicory seed\"},\n {\"box_2d\": [465, 400, 506, 422], \"label\": \"chicory seed\"},\n {\"box_2d\": [445, 422, 472, 462], \"label\": \"chicory seed\"},\n {\"box_2d\": [425, 410, 458, 448], \"label\": \"chicory seed\"},\n {\"box_2d\": [438, 382, 478, 412], \"label\": \"chicory seed\"},\n {\"box_2d\": [460, 332, 486, 375], \"label\": \"chicory seed\"},\n {\"box_2d\": [448, 312, 486, 342], \"label\": \"chicory seed\"},\n {\"box_2d\": [448, 289, 489, 318], \"label\": \"chicory seed\"},\n {\"box_2d\": [427, 344, 465, 370], \"label\": \"chicory seed\"},\n {\"box_2d\": [425, 304, 447, 345], \"label\": \"chicory seed\"},\n {\"box_2d\": [404, 280, 442, 303], \"label\": \"chicory seed\"},\n {\"box_2d\": [417, 245, 452, 282], \"label\": \"chicory seed\"},\n {\"box_2d\": [400, 237, 426, 279], \"label\": \"chicory seed\"},\n {\"box_2d\": [374, 211, 396, 255], \"label\": \"chicory seed\"},\n {\"box_2d\": [364, 259, 399, 294], \"label\": \"chicory seed\"},\n {\"box_2d\": [364, 281, 404, 310], \"label\": \"chicory seed\"},\n {\"box_2d\": [352, 308, 392, 332], \"label\": \"chicory seed\"},\n {\"box_2d\": [393, 311, 426, 347], \"label\": \"chicory seed\"},\n {\"box_2d\": [379, 326, 414, 363], \"label\": \"chicory seed\"},\n {\"box_2d\": [360, 330, 389, 368], \"label\": \"chicory seed\"},\n {\"box_2d\": [411, 356, 449, 391], \"label\": \"chicory seed\"},\n {\"box_2d\": [391, 363, 429, 395], \"label\": \"chicory seed\"},\n {\"box_2d\": [351, 376, 391, 400], \"label\": \"chicory seed\"},\n {\"box_2d\": [364, 391, 404, 416], \"label\": \"chicory seed\"},\n {\"box_2d\": [396, 391, 434, 421], \"label\": \"chicory seed\"},\n {\"box_2d\": [402, 406, 440, 441], \"label\": \"chicory seed\"},\n {\"box_2d\": [391, 439, 429, 469], \"label\": \"chicory seed\"},\n {\"box_2d\": [375, 452, 407, 488], \"label\": \"chicory seed\"},\n {\"box_2d\": [354, 464, 392, 499], \"label\": \"chicory seed\"},\n {\"box_2d\": [366, 414, 401, 450], \"label\": \"chicory seed\"},\n {\"box_2d\": [352, 416, 377, 458], \"label\": \"chicory seed\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 10812, "elapsed_seconds": 79.61823995795567, "metadata": {"match_method": "map", "num_predictions": 300, "num_ground_truth": 300, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3366336524486542, "attempts": 1, "retries": 0, "total_seconds": 79.7412}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 242, "image": "4105625_ContRightUpper_f_jpg.rf.262f5072bce0f2365a2193d631224fd1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [329, 0, 616, 267], \"label\": \"shipping container wall dent\"}\n]\n```", "correct": false, "input_tokens": 1255, "output_tokens": 47, "elapsed_seconds": 3.6077367910183966, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 3.7463}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 243, "image": "18_jpeg_jpg.rf.b131f08c745acace9daeeea095e0d1ef.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [283, 845, 405, 968], \"label\": \"potato\"},\n {\"box_2d\": [721, 542, 817, 628], \"label\": \"potato\"},\n {\"box_2d\": [92, 888, 211, 987], \"label\": \"potato\"},\n {\"box_2d\": [501, 613, 603, 698], \"label\": \"potato\"},\n {\"box_2d\": [86, 20, 190, 109], \"label\": \"potato\"},\n {\"box_2d\": [699, 143, 811, 248], \"label\": \"potato\"},\n {\"box_2d\": [301, 179, 389, 261], \"label\": \"potato\"},\n {\"box_2d\": [92, 445, 179, 540], \"label\": \"potato\"},\n {\"box_2d\": [499, 877, 597, 956], \"label\": \"potato\"},\n {\"box_2d\": [715, 665, 817, 748], \"label\": \"potato\"},\n {\"box_2d\": [906, 595, 1000, 691], \"label\": \"potato\"},\n {\"box_2d\": [497, 449, 593, 535], \"label\": \"potato\"},\n {\"box_2d\": [690, 937, 792, 1000], \"label\": \"potato\"},\n {\"box_2d\": [904, 148, 1000, 253], \"label\": \"potato\"},\n {\"box_2d\": [501, 1, 684, 61], \"label\": \"potato\"},\n {\"box_2d\": [870, 917, 984, 1000], \"label\": \"potato\"},\n {\"box_2d\": [493, 236, 619, 322], \"label\": \"potato\"},\n {\"box_2d\": [715, 357, 817, 477], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1240, "output_tokens": 621, "elapsed_seconds": 7.190128750051372, "metadata": {"match_method": "map", "num_predictions": 18, "num_ground_truth": 18, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 7.2322}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 244, "image": "lot312_JPEG_jpg.rf.6c72b39304c1a45a005f911f32e89494.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [191, 315, 217, 355], \"label\": \"chicory seed\"},\n {\"box_2d\": [151, 381, 180, 419], \"label\": \"chicory seed\"},\n {\"box_2d\": [203, 530, 230, 567], \"label\": \"chicory seed\"},\n {\"box_2d\": [273, 737, 297, 777], \"label\": \"chicory seed\"},\n {\"box_2d\": [392, 419, 418, 456], \"label\": \"chicory seed\"},\n {\"box_2d\": [319, 157, 344, 194], \"label\": \"chicory seed\"},\n {\"box_2d\": [450, 111, 474, 141], \"label\": \"chicory seed\"},\n {\"box_2d\": [568, 444, 594, 480], \"label\": \"chicory seed\"},\n {\"box_2d\": [614, 123, 639, 159], \"label\": \"chicory seed\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 336, "elapsed_seconds": 7.276324167032726, "metadata": {"match_method": "map", "num_predictions": 9, "num_ground_truth": 291, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 2, "retries": 1, "total_seconds": 71.5065, "transient_errors": ["RemoteProtocolError"]}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 245, "image": "DJI_0271_JPG_jpg.rf.58c0e5179915be4446df421b02825d3d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [553, 789, 718, 913], \"label\": \"excavator\"},\n {\"box_2d\": [0, 361, 1000, 622], \"label\": \"tower crane\"},\n {\"box_2d\": [186, 789, 232, 827], \"label\": \"dump truck\"}\n]\n```", "correct": false, "input_tokens": 1206, "output_tokens": 117, "elapsed_seconds": 23.12114591593854, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 6, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7524751424789429, "attempts": 1, "retries": 0, "total_seconds": 24.4175}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 246, "image": "IMG_3900_JPG.rf.5ee75659ac02193213ba7636038947a4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [405, 152, 478, 265], \"label\": \"500 poker chip\"},\n {\"box_2d\": [501, 92, 581, 211], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [591, 134, 681, 263], \"label\": \"10 poker chip\"},\n {\"box_2d\": [513, 204, 597, 326], \"label\": \"100 poker chip\"},\n {\"box_2d\": [415, 265, 488, 376], \"label\": \"10 poker chip\"},\n {\"box_2d\": [357, 319, 424, 427], \"label\": \"10 poker chip\"},\n {\"box_2d\": [468, 326, 546, 440], \"label\": \"500 poker chip\"},\n {\"box_2d\": [427, 422, 502, 533], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [368, 486, 437, 593], \"label\": \"5 poker chip\"},\n {\"box_2d\": [324, 566, 391, 669], \"label\": \"50 poker chip\"},\n {\"box_2d\": [393, 637, 464, 748], \"label\": \"10000 poker chip\"},\n {\"box_2d\": [457, 682, 536, 799], \"label\": \"50 poker chip\"},\n {\"box_2d\": [482, 489, 562, 604], \"label\": \"100 poker chip\"},\n {\"box_2d\": [502, 598, 585, 716], \"label\": \"100 poker chip\"},\n {\"box_2d\": [540, 740, 626, 864], \"label\": \"100 poker chip\"},\n {\"box_2d\": [525, 393, 608, 511], \"label\": \"10 poker chip\"},\n {\"box_2d\": [566, 284, 655, 408], \"label\": \"10 poker chip\"},\n {\"box_2d\": [631, 355, 728, 484], \"label\": \"10 poker chip\"},\n {\"box_2d\": [592, 469, 686, 594], \"label\": \"50 poker chip\"},\n {\"box_2d\": [581, 616, 672, 741], \"label\": \"5 poker chip\"},\n {\"box_2d\": [623, 738, 719, 869], \"label\": \"100 poker chip\"},\n {\"box_2d\": [690, 637, 794, 773], \"label\": \"100 poker chip\"},\n {\"box_2d\": [742, 528, 853, 667], \"label\": \"100 poker chip\"},\n {\"box_2d\": [718, 398, 826, 534], \"label\": \"10 poker chip\"},\n {\"box_2d\": [698, 250, 804, 386], \"label\": \"20 poker chip\"}\n]\n```", "correct": true, "input_tokens": 1252, "output_tokens": 950, "elapsed_seconds": 24.339918458019383, "metadata": {"match_method": "map", "num_predictions": 25, "num_ground_truth": 25, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 25.1973}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 247, "image": "9AAEA6F5-FD0E-47BE-8596-0D85E5F62F1A_jpg.rf.7b7e8cbfdfc78f2c2cad6219290c51d6.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [757, 631, 800, 721], \"label\": \"pill\"},\n {\"box_2d\": [794, 288, 843, 381], \"label\": \"pill\"},\n {\"box_2d\": [720, 642, 764, 730], \"label\": \"pill\"},\n {\"box_2d\": [686, 639, 724, 729], \"label\": \"pill\"},\n {\"box_2d\": [694, 286, 751, 376], \"label\": \"pill\"},\n {\"box_2d\": [602, 362, 691, 396], \"label\": \"pill\"},\n {\"box_2d\": [556, 354, 590, 444], \"label\": \"pill\"},\n {\"box_2d\": [520, 389, 558, 476], \"label\": \"pill\"},\n {\"box_2d\": [465, 443, 537, 513], \"label\": \"pill\"},\n {\"box_2d\": [498, 251, 574, 322], \"label\": \"pill\"},\n {\"box_2d\": [447, 167, 535, 206], \"label\": \"pill\"},\n {\"box_2d\": [381, 187, 447, 265], \"label\": \"pill\"},\n {\"box_2d\": [444, 328, 529, 373], \"label\": \"pill\"},\n {\"box_2d\": [451, 359, 537, 405], \"label\": \"pill\"},\n {\"box_2d\": [262, 205, 344, 260], \"label\": \"pill\"},\n {\"box_2d\": [588, 725, 672, 780], \"label\": \"pill\"},\n {\"box_2d\": [563, 749, 647, 804], \"label\": \"pill\"},\n {\"box_2d\": [556, 686, 642, 730], \"label\": \"pill\"},\n {\"box_2d\": [520, 619, 597, 684], \"label\": \"pill\"},\n {\"box_2d\": [467, 575, 528, 653], \"label\": \"pill\"},\n {\"box_2d\": [442, 549, 510, 622], \"label\": \"pill\"},\n {\"box_2d\": [404, 528, 469, 601], \"label\": \"pill\"},\n {\"box_2d\": [350, 522, 434, 567], \"label\": \"pill\"},\n {\"box_2d\": [317, 568, 401, 599], \"label\": \"pill\"},\n {\"box_2d\": [313, 600, 396, 631], \"label\": \"pill\"},\n {\"box_2d\": [338, 629, 422, 662], \"label\": \"pill\"},\n {\"box_2d\": [334, 663, 419, 695], \"label\": \"pill\"},\n {\"box_2d\": [297, 689, 381, 723], \"label\": \"pill\"},\n {\"box_2d\": [295, 721, 376, 777], \"label\": \"pill\"},\n {\"box_2d\": [360, 707, 444, 751], \"label\": \"pill\"},\n {\"box_2d\": [377, 738, 462, 779], \"label\": \"pill\"},\n {\"box_2d\": [467, 730, 548, 788], \"label\": \"pill\"},\n {\"box_2d\": [319, 484, 376, 564], \"label\": \"pill\"},\n {\"box_2d\": [287, 473, 341, 552], \"label\": \"pill\"},\n {\"box_2d\": [296, 432, 379, 484], \"label\": \"pill\"},\n {\"box_2d\": [244, 372, 300, 452], \"label\": \"pill\"},\n {\"box_2d\": [165, 410, 245, 452], \"label\": \"pill\"},\n {\"box_2d\": [165, 468, 236, 535], \"label\": \"pill\"},\n {\"box_2d\": [161, 542, 206, 622], \"label\": \"pill\"},\n {\"box_2d\": [155, 687, 223, 756], \"label\": \"pill\"},\n {\"box_2d\": [92, 728, 173, 764], \"label\": \"pill\"},\n {\"box_2d\": [171, 213, 209, 298], \"label\": \"pill\"},\n {\"box_2d\": [138, 269, 195, 349], \"label\": \"pill\"},\n {\"box_2d\": [137, 182, 189, 265], \"label\": \"pill\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 1507, "elapsed_seconds": 19.76557383290492, "metadata": {"match_method": "map", "num_predictions": 44, "num_ground_truth": 44, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 20.4369}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 248, "image": "DJI_0237_JPG_jpg.rf.cb5e6b368dca69cc9b7bc36fb47fd6fb.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [585, 565, 745, 622], \"label\": \"excavator\"},\n {\"box_2d\": [381, 864, 434, 949], \"label\": \"concrete mixer\"},\n {\"box_2d\": [274, 226, 307, 272], \"label\": \"dump truck\"},\n {\"box_2d\": [298, 181, 336, 229], \"label\": \"dump truck\"},\n {\"box_2d\": [0, 833, 227, 976], \"label\": \"tower crane\"},\n {\"box_2d\": [254, 922, 692, 1000], \"label\": \"tower crane\"}\n]\n```", "correct": true, "input_tokens": 1209, "output_tokens": 222, "elapsed_seconds": 30.24597954202909, "metadata": {"match_method": "map", "num_predictions": 6, "num_ground_truth": 7, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8762375712394714, "attempts": 1, "retries": 0, "total_seconds": 31.517}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 249, "image": "42ba34_9_9_png_jpg.rf.30ad6b17178011a7360591145cf422a2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [298, 408, 333, 417], \"label\": \"player\"},\n {\"box_2d\": [367, 307, 405, 321], \"label\": \"player\"},\n {\"box_2d\": [357, 319, 396, 330], \"label\": \"player\"},\n {\"box_2d\": [315, 567, 345, 577], \"label\": \"player\"},\n {\"box_2d\": [324, 657, 359, 669], \"label\": \"player\"},\n {\"box_2d\": [384, 715, 441, 725], \"label\": \"player\"},\n {\"box_2d\": [443, 672, 489, 686], \"label\": \"player\"},\n {\"box_2d\": [546, 697, 601, 714], \"label\": \"player\"},\n {\"box_2d\": [614, 676, 674, 695], \"label\": \"player\"},\n {\"box_2d\": [399, 589, 446, 600], \"label\": \"player\"},\n {\"box_2d\": [381, 479, 416, 495], \"label\": \"player\"},\n {\"box_2d\": [423, 478, 469, 490], \"label\": \"referee\"},\n {\"box_2d\": [401, 452, 444, 463], \"label\": \"player\"},\n {\"box_2d\": [405, 455, 451, 467], \"label\": \"player\"},\n {\"box_2d\": [471, 502, 520, 519], \"label\": \"player\"},\n {\"box_2d\": [511, 437, 562, 449], \"label\": \"player\"},\n {\"box_2d\": [588, 315, 640, 328], \"label\": \"player\"},\n {\"box_2d\": [612, 256, 666, 269], \"label\": \"player\"},\n {\"box_2d\": [476, 200, 527, 211], \"label\": \"player\"},\n {\"box_2d\": [465, 165, 513, 181], \"label\": \"player\"},\n {\"box_2d\": [380, 19, 421, 31], \"label\": \"goalkeeper\"},\n {\"box_2d\": [756, 888, 825, 911], \"label\": \"referee\"}\n]\n```", "correct": false, "input_tokens": 1242, "output_tokens": 761, "elapsed_seconds": 10.357877750066109, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5297029614448547, "attempts": 1, "retries": 0, "total_seconds": 10.4864}} diff --git a/results/detection_gemini-4-argon-eap_low_20261013_071022.jsonl b/results/detection_gemini-4-argon-eap_low_20261013_071022.jsonl deleted file mode 100644 index 034e56c..0000000 --- a/results/detection_gemini-4-argon-eap_low_20261013_071022.jsonl +++ /dev/null @@ -1,250 +0,0 @@ -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 0, "image": "Screenshot-2024-05-16-144612_png.rf.ae5a345319058fdba768605388143544.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [777, 703, 800, 731], \"label\": \"bullet hole\"},\n {\"box_2d\": [832, 573, 858, 603], \"label\": \"bullet hole\"},\n {\"box_2d\": [819, 458, 845, 485], \"label\": \"bullet hole\"},\n {\"box_2d\": [869, 429, 892, 460], \"label\": \"bullet hole\"},\n {\"box_2d\": [839, 892, 868, 919], \"label\": \"bullet hole\"},\n {\"box_2d\": [955, 887, 984, 919], \"label\": \"bullet hole\"},\n {\"box_2d\": [958, 687, 979, 710], \"label\": \"bullet hole\"},\n {\"box_2d\": [577, 887, 602, 916], \"label\": \"bullet hole\"},\n {\"box_2d\": [529, 968, 553, 995], \"label\": \"bullet hole\"},\n {\"box_2d\": [521, 829, 545, 856], \"label\": \"bullet hole\"},\n {\"box_2d\": [455, 892, 482, 918], \"label\": \"bullet hole\"},\n {\"box_2d\": [419, 969, 444, 998], \"label\": \"bullet hole\"},\n {\"box_2d\": [405, 761, 429, 787], \"label\": \"bullet hole\"},\n {\"box_2d\": [274, 835, 297, 856], \"label\": \"bullet hole\"},\n {\"box_2d\": [119, 834, 140, 860], \"label\": \"bullet hole\"},\n {\"box_2d\": [216, 550, 237, 577], \"label\": \"bullet hole\"},\n {\"box_2d\": [290, 550, 315, 576], \"label\": \"bullet hole\"},\n {\"box_2d\": [365, 548, 389, 574], \"label\": \"bullet hole\"},\n {\"box_2d\": [419, 294, 444, 323], \"label\": \"bullet hole\"},\n {\"box_2d\": [350, 287, 376, 313], \"label\": \"bullet hole\"},\n {\"box_2d\": [247, 273, 269, 297], \"label\": \"bullet hole\"},\n {\"box_2d\": [163, 261, 189, 289], \"label\": \"bullet hole\"},\n {\"box_2d\": [568, 466, 594, 492], \"label\": \"bullet hole\"},\n {\"box_2d\": [650, 394, 676, 421], \"label\": \"bullet hole\"},\n {\"box_2d\": [703, 313, 726, 334], \"label\": \"bullet hole\"},\n {\"box_2d\": [821, 231, 848, 260], \"label\": \"bullet hole\"},\n {\"box_2d\": [895, 160, 915, 182], \"label\": \"bullet hole\"},\n {\"box_2d\": [835, 40, 856, 71], \"label\": \"bullet hole\"},\n {\"box_2d\": [618, 73, 640, 97], \"label\": \"bullet hole\"}\n]\n```", "correct": false, "input_tokens": 1226, "output_tokens": 1023, "elapsed_seconds": 9.50312904198654, "metadata": {"match_method": "map", "num_predictions": 29, "num_ground_truth": 29, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.205636128783226, "attempts": 1, "retries": 0, "total_seconds": 9.5301}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 1, "image": "img_462887999701516572_png.rf.318af6a4e9ad42c15e8fcc520375ad9b.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [723, 114, 818, 286], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [646, 134, 725, 303], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [579, 159, 648, 319], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [513, 179, 581, 331], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [454, 198, 521, 341], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [400, 217, 468, 351], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [352, 239, 419, 360], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [307, 255, 372, 369], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [290, 366, 353, 476], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [334, 357, 396, 475], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [381, 351, 446, 473], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [433, 335, 500, 463], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [490, 326, 558, 461], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [553, 314, 622, 456], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [618, 294, 691, 446], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [691, 276, 779, 439], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [732, 414, 829, 577], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [658, 426, 737, 582], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [590, 438, 660, 585], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [524, 446, 594, 585], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [464, 452, 531, 583], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [410, 456, 473, 581], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [358, 465, 421, 581], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [312, 469, 372, 580], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [295, 572, 357, 687], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [339, 573, 401, 692], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [388, 572, 453, 695], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [442, 572, 510, 703], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [500, 573, 569, 711], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [565, 571, 636, 717], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [632, 568, 706, 725], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [704, 565, 797, 731], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [736, 715, 835, 902], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [661, 706, 744, 886], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [593, 696, 665, 868], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [527, 696, 597, 855], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [468, 691, 535, 840], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [411, 686, 478, 827], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [361, 684, 426, 813], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [315, 680, 377, 800], \"label\": \"full portable gas cylinder\"}\n]\n```", "correct": true, "input_tokens": 1217, "output_tokens": 1492, "elapsed_seconds": 17.086098124971613, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 40, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 17.3925}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 2, "image": "basketball-player-detection_boston-celtics-new-york-knicks-game-1-q1-03-16-03-11-0135_png.rf.87404d3bb76bef98d9e926e5ec1e2966.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [266, 290, 300, 307], \"label\": \"basketball\"},\n {\"box_2d\": [267, 298, 295, 336], \"label\": \"basket rim\"},\n {\"box_2d\": [290, 263, 474, 303], \"label\": \"referee\"},\n {\"box_2d\": [836, 412, 998, 470], \"label\": \"referee\"},\n {\"box_2d\": [898, 429, 924, 444], \"label\": \"jersey number\"},\n {\"box_2d\": [703, 377, 734, 391], \"label\": \"jersey number\"},\n {\"box_2d\": [525, 455, 550, 461], \"label\": \"jersey number\"},\n {\"box_2d\": [336, 704, 360, 712], \"label\": \"jersey number\"},\n {\"box_2d\": [729, 779, 759, 801], \"label\": \"jersey number\"},\n {\"box_2d\": [461, 412, 695, 486], \"label\": \"player\"},\n {\"box_2d\": [631, 348, 902, 417], \"label\": \"player\"},\n {\"box_2d\": [370, 370, 597, 434], \"label\": \"player\"},\n {\"box_2d\": [401, 284, 643, 391], \"label\": \"player\"},\n {\"box_2d\": [274, 672, 504, 735], \"label\": \"player\"},\n {\"box_2d\": [410, 800, 687, 851], \"label\": \"player\"},\n {\"box_2d\": [656, 725, 952, 821], \"label\": \"player\"},\n {\"box_2d\": [748, 882, 998, 966], \"label\": \"player\"},\n {\"box_2d\": [274, 319, 622, 370], \"label\": \"player doing layup dunk\"}\n]\n```", "correct": false, "input_tokens": 1256, "output_tokens": 636, "elapsed_seconds": 10.152041124994867, "metadata": {"match_method": "map", "num_predictions": 18, "num_ground_truth": 19, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6630834341049194, "attempts": 1, "retries": 0, "total_seconds": 10.2906}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 3, "image": "fall-detection_all_mp4-1653_jpg.rf.9fa9a5ca42070b76929d3ba6ab91e945.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [512, 428, 623, 588], \"label\": \"fallen person\"},\n {\"box_2d\": [468, 355, 535, 513], \"label\": \"fallen person\"},\n {\"box_2d\": [423, 212, 478, 336], \"label\": \"fallen person\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 117, "elapsed_seconds": 3.926610666909255, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 3.9495}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 4, "image": "Screenshot-2024-05-16-150857_png.rf.d53edfaec65ba17dbc56ff856e70ed0d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [779, 362, 811, 396], \"label\": \"bullet hole\"},\n {\"box_2d\": [116, 319, 148, 349], \"label\": \"bullet hole\"},\n {\"box_2d\": [922, 629, 951, 660], \"label\": \"bullet hole\"},\n {\"box_2d\": [61, 518, 86, 549], \"label\": \"bullet hole\"},\n {\"box_2d\": [29, 463, 52, 488], \"label\": \"bullet hole\"},\n {\"box_2d\": [520, 543, 550, 570], \"label\": \"bullet hole\"},\n {\"box_2d\": [468, 142, 498, 171], \"label\": \"bullet hole\"},\n {\"box_2d\": [409, 921, 436, 949], \"label\": \"bullet hole\"},\n {\"box_2d\": [71, 628, 97, 658], \"label\": \"bullet hole\"},\n {\"box_2d\": [209, 889, 236, 918], \"label\": \"bullet hole\"},\n {\"box_2d\": [112, 825, 141, 855], \"label\": \"bullet hole\"},\n {\"box_2d\": [956, 976, 987, 1000], \"label\": \"bullet hole\"},\n {\"box_2d\": [437, 308, 465, 336], \"label\": \"bullet hole\"},\n {\"box_2d\": [692, 721, 720, 751], \"label\": \"bullet hole\"},\n {\"box_2d\": [812, 809, 839, 839], \"label\": \"bullet hole\"},\n {\"box_2d\": [891, 185, 922, 213], \"label\": \"bullet hole\"},\n {\"box_2d\": [163, 618, 189, 646], \"label\": \"bullet hole\"},\n {\"box_2d\": [339, 323, 364, 352], \"label\": \"bullet hole\"},\n {\"box_2d\": [436, 671, 464, 701], \"label\": \"bullet hole\"},\n {\"box_2d\": [614, 405, 643, 436], \"label\": \"bullet hole\"},\n {\"box_2d\": [138, 209, 165, 236], \"label\": \"bullet hole\"},\n {\"box_2d\": [546, 962, 575, 991], \"label\": \"bullet hole\"},\n {\"box_2d\": [798, 226, 831, 258], \"label\": \"bullet hole\"},\n {\"box_2d\": [710, 567, 738, 597], \"label\": \"bullet hole\"},\n {\"box_2d\": [294, 62, 324, 92], \"label\": \"bullet hole\"},\n {\"box_2d\": [682, 265, 711, 294], \"label\": \"bullet hole\"},\n {\"box_2d\": [609, 879, 638, 907], \"label\": \"bullet hole\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 950, "elapsed_seconds": 10.290161959012039, "metadata": {"match_method": "map", "num_predictions": 27, "num_ground_truth": 32, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8415841460227966, "attempts": 1, "retries": 0, "total_seconds": 10.3186}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 5, "image": "oil-tank-detection_oiltank_9_jpg.rf.acb372553a5f5f447313e4035eef562f.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [117, 100, 232, 200], \"label\": \"oil tank\"},\n {\"box_2d\": [113, 234, 226, 333], \"label\": \"oil tank\"},\n {\"box_2d\": [109, 364, 222, 467], \"label\": \"oil tank\"},\n {\"box_2d\": [100, 495, 213, 601], \"label\": \"oil tank\"},\n {\"box_2d\": [96, 629, 213, 731], \"label\": \"oil tank\"},\n {\"box_2d\": [90, 761, 207, 868], \"label\": \"oil tank\"},\n {\"box_2d\": [270, 99, 386, 206], \"label\": \"oil tank\"},\n {\"box_2d\": [266, 234, 381, 339], \"label\": \"oil tank\"},\n {\"box_2d\": [259, 368, 376, 471], \"label\": \"oil tank\"},\n {\"box_2d\": [251, 504, 368, 606], \"label\": \"oil tank\"},\n {\"box_2d\": [244, 636, 366, 737], \"label\": \"oil tank\"},\n {\"box_2d\": [238, 767, 361, 875], \"label\": \"oil tank\"},\n {\"box_2d\": [482, 99, 606, 207], \"label\": \"oil tank\"},\n {\"box_2d\": [478, 236, 599, 345], \"label\": \"oil tank\"},\n {\"box_2d\": [471, 371, 595, 480], \"label\": \"oil tank\"},\n {\"box_2d\": [468, 505, 588, 613], \"label\": \"oil tank\"},\n {\"box_2d\": [459, 643, 583, 750], \"label\": \"oil tank\"},\n {\"box_2d\": [623, 370, 750, 483], \"label\": \"oil tank\"},\n {\"box_2d\": [621, 510, 744, 620], \"label\": \"oil tank\"},\n {\"box_2d\": [616, 649, 738, 758], \"label\": \"oil tank\"}\n]\n```", "correct": true, "input_tokens": 1217, "output_tokens": 708, "elapsed_seconds": 9.245831083040684, "metadata": {"match_method": "map", "num_predictions": 20, "num_ground_truth": 20, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 9.3253}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 6, "image": "signatures_image_38_png_jpg.rf.1d9c4bd922f8563e58275de808cd3984.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [363, 748, 412, 929], \"label\": \"signature\"},\n {\"box_2d\": [860, 761, 916, 949], \"label\": \"signature\"},\n {\"box_2d\": [442, 646, 469, 703], \"label\": \"signature\"},\n {\"box_2d\": [953, 634, 982, 694], \"label\": \"signature\"}\n]\n```", "correct": true, "input_tokens": 1211, "output_tokens": 148, "elapsed_seconds": 4.57983120798599, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 4.6096}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 7, "image": "1704193901210_jpg.rf.2395376f26cee29d85e60b22c59c37b4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [578, 261, 638, 305], \"label\": \"corn kernel\"},\n {\"box_2d\": [406, 314, 475, 370], \"label\": \"corn kernel\"},\n {\"box_2d\": [542, 425, 589, 488], \"label\": \"corn kernel\"},\n {\"box_2d\": [266, 409, 327, 469], \"label\": \"corn kernel\"},\n {\"box_2d\": [309, 525, 353, 597], \"label\": \"corn kernel\"},\n {\"box_2d\": [416, 617, 477, 681], \"label\": \"corn kernel\"},\n {\"box_2d\": [530, 653, 583, 725], \"label\": \"corn kernel\"},\n {\"box_2d\": [617, 562, 677, 608], \"label\": \"corn kernel\"},\n {\"box_2d\": [609, 747, 658, 806], \"label\": \"corn kernel\"},\n {\"box_2d\": [512, 767, 578, 811], \"label\": \"corn kernel\"},\n {\"box_2d\": [455, 783, 502, 845], \"label\": \"corn kernel\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 397, "elapsed_seconds": 9.092870749998838, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 9.114}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 8, "image": "IMG_0620_jpeg.rf.0c9c3b0a23079483a0b0e1651801d9a9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [288, 382, 369, 475], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [280, 511, 377, 584], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [284, 581, 391, 645], \"label\": \"caramel corn jelly bean\"},\n {\"box_2d\": [381, 510, 487, 594], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [397, 388, 501, 481], \"label\": \"peach jelly bean\"},\n {\"box_2d\": [377, 265, 491, 330], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [507, 331, 641, 413], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [489, 512, 613, 594], \"label\": \"peach jelly bean\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 315, "elapsed_seconds": 5.658139707986265, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 5.7076}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 9, "image": "paper-parts_163482_102_jpg.rf.d878bfe8193ad78ee6e9bd012ea9324e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [93, 118, 108, 573], \"label\": \"subsection\"},\n {\"box_2d\": [128, 118, 141, 708], \"label\": \"paragraph\"},\n {\"box_2d\": [191, 323, 344, 676], \"label\": \"figure\"},\n {\"box_2d\": [369, 341, 383, 658], \"label\": \"figure caption\"},\n {\"box_2d\": [432, 118, 447, 493], \"label\": \"subsection\"},\n {\"box_2d\": [467, 118, 512, 862], \"label\": \"paragraph\"},\n {\"box_2d\": [530, 333, 565, 666], \"label\": \"equation\"},\n {\"box_2d\": [581, 422, 608, 577], \"label\": \"equation\"},\n {\"box_2d\": [624, 118, 637, 613], \"label\": \"paragraph\"},\n {\"box_2d\": [655, 338, 691, 662], \"label\": \"equation\"},\n {\"box_2d\": [706, 431, 734, 569], \"label\": \"equation\"},\n {\"box_2d\": [749, 118, 762, 547], \"label\": \"paragraph\"},\n {\"box_2d\": [780, 328, 816, 671], \"label\": \"equation\"},\n {\"box_2d\": [831, 431, 859, 569], \"label\": \"equation\"},\n {\"box_2d\": [923, 491, 937, 509], \"label\": \"page number\"}\n]\n```", "correct": true, "input_tokens": 1250, "output_tokens": 523, "elapsed_seconds": 6.793920750031248, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 14, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8440593481063843, "attempts": 1, "retries": 0, "total_seconds": 6.836}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 10, "image": "20210325_203432_jpg.rf.8eb2129f7a101d085f4cb925da755682.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [702, 200, 882, 382], \"label\": \"5 euro cent coin\"},\n {\"box_2d\": [650, 540, 868, 760], \"label\": \"2 euro coin\"},\n {\"box_2d\": [537, 417, 675, 554], \"label\": \"1 euro cent coin\"},\n {\"box_2d\": [332, 659, 521, 848], \"label\": \"20 euro cent coin\"},\n {\"box_2d\": [290, 460, 456, 628], \"label\": \"10 euro cent coin\"},\n {\"box_2d\": [376, 159, 575, 360], \"label\": \"1 euro coin\"},\n {\"box_2d\": [103, 273, 309, 479], \"label\": \"50 euro cent coin\"},\n {\"box_2d\": [134, 612, 293, 773], \"label\": \"2 euro cent coin\"}\n]\n```", "correct": true, "input_tokens": 1272, "output_tokens": 309, "elapsed_seconds": 5.597140417085029, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 5.6269}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 11, "image": "2024-12-05T02-01-20-119Z-4010_jpg.rf.4f789285ff5c3a1889420326440bc9d1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [457, 451, 616, 571], \"label\": \"screw\"},\n {\"box_2d\": [829, 699, 907, 757], \"label\": \"screw\"}\n]\n```", "correct": false, "input_tokens": 1203, "output_tokens": 80, "elapsed_seconds": 4.836399291991256, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.08415841311216354, "attempts": 1, "retries": 0, "total_seconds": 5.0494}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 12, "image": "Container-146_jpg.rf.1f5b3bfa7143f6b016b2b85ca3940e5c.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [160, 611, 203, 916], \"label\": \"shipping container number\"},\n {\"box_2d\": [213, 750, 250, 824], \"label\": \"container ISO type code\"}\n]\n```", "correct": true, "input_tokens": 1232, "output_tokens": 85, "elapsed_seconds": 3.189490083954297, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 3.2063}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 13, "image": "GP010248_JPG_jpg.rf.c2ac2602f1905971af1173c3ba311542.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [556, 473, 661, 672], \"label\": \"carrot\"},\n {\"box_2d\": [469, 28, 712, 144], \"label\": \"carrot\"},\n {\"box_2d\": [367, 41, 520, 148], \"label\": \"carrot\"},\n {\"box_2d\": [402, 119, 673, 189], \"label\": \"carrot\"},\n {\"box_2d\": [478, 188, 683, 275], \"label\": \"carrot\"},\n {\"box_2d\": [447, 223, 681, 330], \"label\": \"carrot\"},\n {\"box_2d\": [495, 264, 666, 366], \"label\": \"carrot\"},\n {\"box_2d\": [512, 341, 681, 380], \"label\": \"carrot\"},\n {\"box_2d\": [427, 375, 612, 414], \"label\": \"carrot\"},\n {\"box_2d\": [388, 367, 672, 453], \"label\": \"carrot\"},\n {\"box_2d\": [633, 281, 719, 472], \"label\": \"carrot\"},\n {\"box_2d\": [377, 142, 439, 339], \"label\": \"carrot\"},\n {\"box_2d\": [347, 117, 386, 359], \"label\": \"carrot\"},\n {\"box_2d\": [291, 181, 353, 412], \"label\": \"carrot\"},\n {\"box_2d\": [270, 281, 306, 455], \"label\": \"carrot\"},\n {\"box_2d\": [230, 305, 284, 495], \"label\": \"carrot\"},\n {\"box_2d\": [345, 228, 488, 441], \"label\": \"carrot\"},\n {\"box_2d\": [378, 441, 444, 619], \"label\": \"carrot\"},\n {\"box_2d\": [353, 483, 414, 681], \"label\": \"carrot\"},\n {\"box_2d\": [336, 545, 367, 717], \"label\": \"carrot\"},\n {\"box_2d\": [306, 472, 336, 684], \"label\": \"carrot\"},\n {\"box_2d\": [219, 616, 330, 761], \"label\": \"carrot\"},\n {\"box_2d\": [244, 756, 475, 825], \"label\": \"carrot\"},\n {\"box_2d\": [420, 661, 548, 795], \"label\": \"carrot\"},\n {\"box_2d\": [441, 567, 588, 711], \"label\": \"carrot\"},\n {\"box_2d\": [495, 450, 580, 597], \"label\": \"carrot\"},\n {\"box_2d\": [528, 453, 614, 570], \"label\": \"carrot\"},\n {\"box_2d\": [648, 419, 694, 584], \"label\": \"carrot\"},\n {\"box_2d\": [606, 570, 650, 716], \"label\": \"carrot\"},\n {\"box_2d\": [538, 709, 644, 847], \"label\": \"carrot\"},\n {\"box_2d\": [352, 792, 581, 930], \"label\": \"carrot\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 1064, "elapsed_seconds": 11.092777333920822, "metadata": {"match_method": "map", "num_predictions": 31, "num_ground_truth": 31, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 11.1198}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 14, "image": "DJI_20230529095953_0646_T_JPG_jpg.rf.9806615efd3123cda770b6e1a3358930.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [588, 371, 603, 381], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [578, 461, 595, 473], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [573, 507, 591, 517], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [559, 642, 578, 651], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [557, 687, 572, 697], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [928, 860, 943, 871], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [930, 817, 947, 827], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [178, 667, 196, 678], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [182, 622, 199, 632], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [224, 148, 241, 159], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [235, 61, 248, 70], \"label\": \"solar panel hot spot\"}\n]\n```", "correct": false, "input_tokens": 1228, "output_tokens": 417, "elapsed_seconds": 5.6236911659361795, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5643564462661743, "attempts": 1, "retries": 0, "total_seconds": 5.6483}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 15, "image": "floorplan-windows-doors_1036_png.rf.377e8848ebf77a1b3fd4e54e9aaa327d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [771, 368, 845, 452], \"label\": \"door\"},\n {\"box_2d\": [773, 150, 789, 290], \"label\": \"window\"},\n {\"box_2d\": [447, 211, 505, 290], \"label\": \"door\"},\n {\"box_2d\": [166, 300, 186, 355], \"label\": \"window\"},\n {\"box_2d\": [164, 102, 185, 241], \"label\": \"window\"},\n {\"box_2d\": [109, 366, 250, 449], \"label\": \"door\"},\n {\"box_2d\": [168, 576, 187, 621], \"label\": \"window\"},\n {\"box_2d\": [171, 777, 190, 830], \"label\": \"window\"},\n {\"box_2d\": [117, 842, 256, 926], \"label\": \"door\"},\n {\"box_2d\": [323, 703, 383, 849], \"label\": \"door\"},\n {\"box_2d\": [332, 588, 381, 643], \"label\": \"door\"},\n {\"box_2d\": [498, 675, 557, 756], \"label\": \"door\"},\n {\"box_2d\": [556, 686, 616, 759], \"label\": \"door\"},\n {\"box_2d\": [776, 730, 794, 846], \"label\": \"window\"},\n {\"box_2d\": [772, 574, 790, 620], \"label\": \"window\"}\n]\n```", "correct": false, "input_tokens": 1211, "output_tokens": 522, "elapsed_seconds": 7.243849250022322, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 19, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7766088843345642, "attempts": 1, "retries": 0, "total_seconds": 7.3114}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 16, "image": "IMG_4942_JPG.rf.2d54601c43bd5fdd67c9d6de8428a9ef.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [298, 531, 315, 537], \"label\": \"face\"},\n {\"box_2d\": [300, 557, 316, 563], \"label\": \"face\"},\n {\"box_2d\": [301, 613, 319, 621], \"label\": \"face\"},\n {\"box_2d\": [298, 640, 316, 649], \"label\": \"face\"},\n {\"box_2d\": [336, 661, 353, 670], \"label\": \"face\"},\n {\"box_2d\": [349, 694, 366, 703], \"label\": \"face\"},\n {\"box_2d\": [356, 735, 371, 742], \"label\": \"face\"},\n {\"box_2d\": [363, 756, 378, 764], \"label\": \"face\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 284, "elapsed_seconds": 165.3144504999509, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 9, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7178217768669128, "attempts": 1, "retries": 0, "total_seconds": 165.7992}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 17, "image": "4103433_ContLeftUpper_f_jpg.rf.c38c0a22d926bfd30646b27374a1f854.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [278, 179, 412, 203], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [254, 102, 415, 124], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [253, 339, 415, 360], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [324, 260, 415, 281], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [391, 418, 416, 440], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [437, 696, 466, 716], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [592, 165, 623, 204], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [585, 84, 621, 126], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [471, 24, 513, 47], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [266, 37, 307, 63], \"label\": \"shipping container wall dent\"}\n]\n```", "correct": false, "input_tokens": 1224, "output_tokens": 377, "elapsed_seconds": 10.624535000068136, "metadata": {"match_method": "map", "num_predictions": 10, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.28069308400154114, "attempts": 1, "retries": 0, "total_seconds": 10.7587}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 18, "image": "a9f16c_8_1_png_jpg.rf.21f65c07fc1fd4b937623a9b2c4bf919.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [274, 325, 307, 336], \"label\": \"player\"},\n {\"box_2d\": [393, 21, 440, 39], \"label\": \"goalkeeper\"},\n {\"box_2d\": [341, 297, 377, 308], \"label\": \"player\"},\n {\"box_2d\": [344, 272, 383, 283], \"label\": \"player\"},\n {\"box_2d\": [417, 232, 460, 245], \"label\": \"player\"},\n {\"box_2d\": [423, 288, 463, 303], \"label\": \"player\"},\n {\"box_2d\": [406, 403, 446, 417], \"label\": \"referee\"},\n {\"box_2d\": [443, 403, 491, 419], \"label\": \"player\"},\n {\"box_2d\": [501, 513, 553, 526], \"label\": \"player\"},\n {\"box_2d\": [422, 525, 471, 533], \"label\": \"player\"},\n {\"box_2d\": [373, 534, 414, 545], \"label\": \"player\"},\n {\"box_2d\": [308, 450, 348, 459], \"label\": \"player\"},\n {\"box_2d\": [306, 468, 342, 477], \"label\": \"player\"},\n {\"box_2d\": [340, 730, 377, 739], \"label\": \"player\"},\n {\"box_2d\": [340, 978, 384, 991], \"label\": \"goalkeeper\"},\n {\"box_2d\": [474, 206, 524, 226], \"label\": \"player\"},\n {\"box_2d\": [553, 190, 603, 215], \"label\": \"player\"},\n {\"box_2d\": [540, 206, 588, 227], \"label\": \"player\"},\n {\"box_2d\": [644, 279, 709, 299], \"label\": \"player\"},\n {\"box_2d\": [820, 280, 892, 302], \"label\": \"player\"},\n {\"box_2d\": [592, 560, 654, 584], \"label\": \"player\"},\n {\"box_2d\": [644, 560, 656, 566], \"label\": \"football\"},\n {\"box_2d\": [854, 956, 938, 979], \"label\": \"referee\"}\n]\n```", "correct": true, "input_tokens": 1242, "output_tokens": 796, "elapsed_seconds": 10.756447624997236, "metadata": {"match_method": "map", "num_predictions": 23, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8910890817642212, "attempts": 1, "retries": 0, "total_seconds": 10.877}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 19, "image": "20230220_113558_jpg.rf.d5df52cc566f78f19b292c4a237d076c.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [761, 439, 956, 456], \"label\": \"crack\"}\n]\n```", "correct": false, "input_tokens": 1225, "output_tokens": 46, "elapsed_seconds": 2.959393333992921, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 2.9808}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 20, "image": "frame_0277_jpg.rf.c6aa8dac950a9954eaaa15c2c1350db2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [858, 217, 938, 263], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [869, 494, 916, 537], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [606, 437, 676, 481], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [540, 554, 623, 591], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [451, 586, 509, 623], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [458, 676, 513, 710], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [332, 657, 389, 689], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [211, 640, 276, 672], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [209, 530, 270, 570], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [311, 546, 363, 577], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [357, 587, 398, 610], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [404, 466, 466, 506], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [333, 456, 408, 489], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [256, 370, 322, 406], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [168, 433, 222, 466], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [51, 430, 123, 463], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [32, 527, 94, 559], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [96, 628, 148, 658], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [33, 360, 84, 391], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [63, 270, 114, 296], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [136, 247, 192, 286], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [283, 239, 353, 280], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [443, 228, 521, 268], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [337, 90, 403, 132], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [196, 129, 256, 174], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [11, 130, 64, 169], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [631, 688, 662, 731], \"label\": \"garlic on conveyor\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 974, "elapsed_seconds": 16.05829941597767, "metadata": {"match_method": "map", "num_predictions": 27, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.977264404296875, "attempts": 1, "retries": 0, "total_seconds": 16.1944}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 21, "image": "construction-safety_ppe_0034_jpg.rf.38e91c4daafe26a0be27d2c1133af960.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [309, 134, 355, 182], \"label\": \"safety helmet\"},\n {\"box_2d\": [468, 646, 658, 728], \"label\": \"safety vest\"},\n {\"box_2d\": [392, 629, 910, 731], \"label\": \"person\"},\n {\"box_2d\": [447, 549, 687, 646], \"label\": \"safety vest\"},\n {\"box_2d\": [454, 195, 672, 289], \"label\": \"safety vest\"},\n {\"box_2d\": [387, 290, 917, 386], \"label\": \"person\"},\n {\"box_2d\": [309, 77, 922, 200], \"label\": \"person\"},\n {\"box_2d\": [339, 804, 910, 922], \"label\": \"person\"},\n {\"box_2d\": [373, 569, 412, 610], \"label\": \"safety helmet\"},\n {\"box_2d\": [385, 321, 435, 367], \"label\": \"safety helmet\"},\n {\"box_2d\": [392, 660, 439, 703], \"label\": \"safety helmet\"},\n {\"box_2d\": [410, 499, 459, 544], \"label\": \"safety helmet\"},\n {\"box_2d\": [474, 290, 674, 382], \"label\": \"safety vest\"},\n {\"box_2d\": [373, 194, 917, 300], \"label\": \"person\"},\n {\"box_2d\": [366, 735, 408, 778], \"label\": \"safety helmet\"},\n {\"box_2d\": [371, 543, 906, 648], \"label\": \"person\"},\n {\"box_2d\": [383, 416, 433, 459], \"label\": \"safety helmet\"},\n {\"box_2d\": [383, 391, 908, 488], \"label\": \"person\"},\n {\"box_2d\": [401, 97, 610, 194], \"label\": \"safety vest\"},\n {\"box_2d\": [498, 484, 706, 558], \"label\": \"safety vest\"},\n {\"box_2d\": [410, 479, 906, 560], \"label\": \"person\"},\n {\"box_2d\": [373, 224, 421, 273], \"label\": \"safety helmet\"},\n {\"box_2d\": [416, 825, 624, 911], \"label\": \"safety vest\"},\n {\"box_2d\": [461, 390, 718, 486], \"label\": \"safety vest\"},\n {\"box_2d\": [365, 705, 912, 820], \"label\": \"person\"},\n {\"box_2d\": [451, 718, 642, 813], \"label\": \"safety vest\"},\n {\"box_2d\": [339, 832, 383, 876], \"label\": \"safety helmet\"}\n]\n```", "correct": true, "input_tokens": 1222, "output_tokens": 946, "elapsed_seconds": 11.333254417055286, "metadata": {"match_method": "map", "num_predictions": 27, "num_ground_truth": 27, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 11.3771}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 22, "image": "2024-12-05T02-00-55-647Z-1001_jpg.rf.c0a64fec0c1e44672b8338dc3d88f40e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [592, 307, 734, 404], \"label\": \"wire hole\"},\n {\"box_2d\": [267, 675, 340, 731], \"label\": \"screw\"},\n {\"box_2d\": [521, 677, 594, 735], \"label\": \"screw\"},\n {\"box_2d\": [430, 536, 502, 593], \"label\": \"cable screw\"}\n]\n```", "correct": false, "input_tokens": 1206, "output_tokens": 150, "elapsed_seconds": 17.895470540970564, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6666666269302368, "attempts": 1, "retries": 0, "total_seconds": 18.2049}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 23, "image": "uav20221018_ixfZ_3857_391_png.rf.363cfc1a99bee6043b1535d35e5cf8f5.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [757, 793, 810, 839], \"label\": \"banana tree\"},\n {\"box_2d\": [715, 801, 761, 845], \"label\": \"banana tree\"},\n {\"box_2d\": [753, 749, 787, 786], \"label\": \"banana tree\"},\n {\"box_2d\": [676, 738, 725, 790], \"label\": \"banana tree\"},\n {\"box_2d\": [649, 798, 690, 843], \"label\": \"banana tree\"},\n {\"box_2d\": [612, 745, 653, 786], \"label\": \"banana tree\"},\n {\"box_2d\": [581, 792, 629, 840], \"label\": \"banana tree\"},\n {\"box_2d\": [546, 742, 586, 788], \"label\": \"banana tree\"},\n {\"box_2d\": [504, 800, 551, 831], \"label\": \"banana tree\"},\n {\"box_2d\": [476, 738, 521, 779], \"label\": \"banana tree\"},\n {\"box_2d\": [434, 794, 482, 840], \"label\": \"banana tree\"},\n {\"box_2d\": [405, 742, 449, 782], \"label\": \"banana tree\"},\n {\"box_2d\": [368, 794, 415, 830], \"label\": \"banana tree\"},\n {\"box_2d\": [341, 735, 381, 778], \"label\": \"banana tree\"},\n {\"box_2d\": [306, 798, 344, 834], \"label\": \"banana tree\"},\n {\"box_2d\": [269, 737, 309, 772], \"label\": \"banana tree\"},\n {\"box_2d\": [232, 797, 274, 833], \"label\": \"banana tree\"},\n {\"box_2d\": [199, 735, 232, 772], \"label\": \"banana tree\"},\n {\"box_2d\": [161, 789, 206, 829], \"label\": \"banana tree\"},\n {\"box_2d\": [130, 735, 174, 774], \"label\": \"banana tree\"},\n {\"box_2d\": [88, 795, 134, 830], \"label\": \"banana tree\"},\n {\"box_2d\": [60, 725, 102, 770], \"label\": \"banana tree\"},\n {\"box_2d\": [18, 791, 66, 831], \"label\": \"banana tree\"},\n {\"box_2d\": [0, 730, 32, 772], \"label\": \"banana tree\"},\n {\"box_2d\": [410, 544, 451, 588], \"label\": \"banana tree\"},\n {\"box_2d\": [437, 496, 480, 534], \"label\": \"banana tree\"},\n {\"box_2d\": [371, 494, 414, 545], \"label\": \"banana tree\"},\n {\"box_2d\": [340, 548, 378, 591], \"label\": \"banana tree\"},\n {\"box_2d\": [300, 498, 344, 535], \"label\": \"banana tree\"},\n {\"box_2d\": [273, 546, 312, 580], \"label\": \"banana tree\"},\n {\"box_2d\": [228, 492, 276, 536], \"label\": \"banana tree\"},\n {\"box_2d\": [194, 539, 246, 586], \"label\": \"banana tree\"},\n {\"box_2d\": [155, 495, 205, 537], \"label\": \"banana tree\"},\n {\"box_2d\": [127, 553, 169, 590], \"label\": \"banana tree\"},\n {\"box_2d\": [63, 554, 98, 584], \"label\": \"banana tree\"},\n {\"box_2d\": [24, 500, 62, 537], \"label\": \"banana tree\"},\n {\"box_2d\": [72, 246, 111, 281], \"label\": \"banana tree\"},\n {\"box_2d\": [32, 300, 72, 336], \"label\": \"banana tree\"},\n {\"box_2d\": [1, 242, 46, 290], \"label\": \"banana tree\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 1360, "elapsed_seconds": 16.04265979200136, "metadata": {"match_method": "map", "num_predictions": 39, "num_ground_truth": 43, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9009901285171509, "attempts": 1, "retries": 0, "total_seconds": 16.1459}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 24, "image": "fabric-defect_511_jpg.rf.c9746a1a958e01686335a4e0e7bec57c.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [417, 402, 571, 484], \"label\": \"fabric cut\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 47, "elapsed_seconds": 3.4816622500075027, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 3.4949}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 25, "image": "z4517190691608_e13e5a7742dfd1e1497d7f34e43b9a19_jpg.rf.53f3adf34b3bcf75125b6512855911b0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [757, 656, 916, 853], \"label\": \"50 poker chip\"},\n {\"box_2d\": [733, 454, 888, 646], \"label\": \"50 poker chip\"},\n {\"box_2d\": [663, 294, 809, 479], \"label\": \"20 poker chip\"},\n {\"box_2d\": [592, 150, 729, 329], \"label\": \"50 poker chip\"},\n {\"box_2d\": [526, 309, 658, 485], \"label\": \"10 poker chip\"},\n {\"box_2d\": [584, 483, 723, 665], \"label\": \"20 poker chip\"},\n {\"box_2d\": [615, 718, 757, 907], \"label\": \"500 poker chip\"},\n {\"box_2d\": [494, 636, 626, 817], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [460, 459, 586, 631], \"label\": \"20 poker chip\"},\n {\"box_2d\": [433, 206, 555, 375], \"label\": \"100 poker chip\"},\n {\"box_2d\": [346, 111, 463, 276], \"label\": \"100 poker chip\"},\n {\"box_2d\": [373, 353, 489, 518], \"label\": \"20 poker chip\"},\n {\"box_2d\": [349, 517, 467, 683], \"label\": \"20 poker chip\"},\n {\"box_2d\": [298, 672, 415, 840], \"label\": \"50 poker chip\"},\n {\"box_2d\": [191, 648, 298, 809], \"label\": \"20 poker chip\"},\n {\"box_2d\": [244, 481, 354, 641], \"label\": \"10 poker chip\"},\n {\"box_2d\": [280, 275, 390, 434], \"label\": \"500 poker chip\"},\n {\"box_2d\": [195, 169, 302, 325], \"label\": \"5 poker chip\"},\n {\"box_2d\": [186, 350, 293, 506], \"label\": \"5 poker chip\"},\n {\"box_2d\": [129, 485, 233, 640], \"label\": \"5 poker chip\"},\n {\"box_2d\": [92, 327, 193, 477], \"label\": \"5 poker chip\"},\n {\"box_2d\": [430, 824, 557, 1000], \"label\": \"5000 poker chip\"}\n]\n```", "correct": true, "input_tokens": 1251, "output_tokens": 830, "elapsed_seconds": 16.557566292001866, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 16.8542}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 26, "image": "floorplan-windows-doors_10156_png.rf.46b4865a81b54b57dfa53b894c0a0632.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [254, 240, 272, 299], \"label\": \"window\"},\n {\"box_2d\": [210, 297, 323, 359], \"label\": \"door\"},\n {\"box_2d\": [255, 369, 273, 474], \"label\": \"window\"},\n {\"box_2d\": [254, 646, 272, 749], \"label\": \"window\"},\n {\"box_2d\": [255, 816, 277, 860], \"label\": \"window\"},\n {\"box_2d\": [393, 811, 431, 853], \"label\": \"door\"},\n {\"box_2d\": [450, 743, 507, 804], \"label\": \"door\"},\n {\"box_2d\": [530, 752, 576, 804], \"label\": \"door\"},\n {\"box_2d\": [624, 742, 681, 801], \"label\": \"door\"},\n {\"box_2d\": [820, 647, 836, 750], \"label\": \"window\"},\n {\"box_2d\": [820, 783, 836, 843], \"label\": \"window\"},\n {\"box_2d\": [820, 391, 836, 491], \"label\": \"window\"},\n {\"box_2d\": [819, 297, 886, 358], \"label\": \"door\"},\n {\"box_2d\": [733, 297, 795, 359], \"label\": \"door\"},\n {\"box_2d\": [696, 236, 742, 281], \"label\": \"door\"},\n {\"box_2d\": [914, 263, 967, 329], \"label\": \"door\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 556, "elapsed_seconds": 11.747289708000608, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 17, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9504950642585754, "attempts": 1, "retries": 0, "total_seconds": 11.8098}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 27, "image": "fabric-defect_323_jpg.rf.371f41f855eb62c4f2068f1bac0ca297.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [76, 591, 134, 639], \"label\": \"fabric cut\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 46, "elapsed_seconds": 3.441199583001435, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 3.4529}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 28, "image": "54_png.rf.e797ccd3ab1732fcc95dc8f12eac1e73.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [199, 79, 303, 136], \"label\": \"not gate symbol\"},\n {\"box_2d\": [199, 179, 303, 236], \"label\": \"not gate symbol\"},\n {\"box_2d\": [199, 279, 303, 336], \"label\": \"not gate symbol\"},\n {\"box_2d\": [199, 379, 303, 437], \"label\": \"not gate symbol\"},\n {\"box_2d\": [311, 513, 432, 613], \"label\": \"and gate symbol\"},\n {\"box_2d\": [453, 513, 574, 613], \"label\": \"and gate symbol\"},\n {\"box_2d\": [595, 513, 716, 613], \"label\": \"and gate symbol\"},\n {\"box_2d\": [737, 513, 858, 613], \"label\": \"and gate symbol\"},\n {\"box_2d\": [381, 660, 504, 758], \"label\": \"or gate symbol\"},\n {\"box_2d\": [665, 659, 788, 758], \"label\": \"or gate symbol\"},\n {\"box_2d\": [523, 804, 646, 904], \"label\": \"and gate symbol\"}\n]\n```", "correct": true, "input_tokens": 1212, "output_tokens": 407, "elapsed_seconds": 5.523059375002049, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 5.5286}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 29, "image": "IMG_3802_JPG.rf.a7e888d2c6d99ef929355eb2fffb322e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [232, 415, 250, 424], \"label\": \"face\"},\n {\"box_2d\": [254, 499, 270, 506], \"label\": \"face\"},\n {\"box_2d\": [306, 338, 326, 348], \"label\": \"face\"},\n {\"box_2d\": [315, 361, 333, 371], \"label\": \"face\"},\n {\"box_2d\": [438, 524, 469, 537], \"label\": \"face\"},\n {\"box_2d\": [482, 439, 511, 452], \"label\": \"face\"},\n {\"box_2d\": [471, 381, 505, 396], \"label\": \"face\"},\n {\"box_2d\": [240, 441, 255, 448], \"label\": \"face\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 284, "elapsed_seconds": 48.28346516599413, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7227723002433777, "attempts": 1, "retries": 0, "total_seconds": 48.7756}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 30, "image": "DJI_20230529112019_0221_T_JPG_jpg.rf.8e72d3393da7d92494fccfb7bb75bfc8.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [72, 162, 173, 211], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [78, 198, 179, 250], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [166, 623, 267, 675], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [173, 667, 273, 716], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [181, 708, 281, 756], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [206, 830, 306, 878], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [103, 798, 202, 850], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [111, 841, 211, 889], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [520, 620, 620, 669], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [530, 661, 628, 709], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [538, 702, 636, 752], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [545, 744, 644, 792], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [553, 784, 652, 833], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [855, 500, 956, 548], \"label\": \"solar panel hot spot\"}\n]\n```", "correct": false, "input_tokens": 1228, "output_tokens": 528, "elapsed_seconds": 6.146370333037339, "metadata": {"match_method": "map", "num_predictions": 14, "num_ground_truth": 17, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 6.1684}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 31, "image": "Atlantic_2025_NCPT-189_JPG_jpg.rf.7a382ad19f3061fc65305d93b2678aef.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [777, 331, 864, 369], \"label\": \"potato\"},\n {\"box_2d\": [116, 297, 183, 323], \"label\": \"potato\"},\n {\"box_2d\": [723, 281, 833, 321], \"label\": \"potato\"},\n {\"box_2d\": [101, 421, 199, 459], \"label\": \"potato\"},\n {\"box_2d\": [133, 336, 217, 370], \"label\": \"potato\"},\n {\"box_2d\": [123, 734, 183, 761], \"label\": \"potato\"},\n {\"box_2d\": [213, 408, 324, 459], \"label\": \"potato\"},\n {\"box_2d\": [283, 374, 389, 413], \"label\": \"potato\"},\n {\"box_2d\": [80, 472, 155, 502], \"label\": \"potato\"},\n {\"box_2d\": [468, 500, 577, 545], \"label\": \"potato\"},\n {\"box_2d\": [13, 300, 77, 326], \"label\": \"potato\"},\n {\"box_2d\": [146, 639, 250, 681], \"label\": \"potato\"},\n {\"box_2d\": [865, 506, 952, 538], \"label\": \"potato\"},\n {\"box_2d\": [656, 289, 725, 316], \"label\": \"potato\"},\n {\"box_2d\": [749, 419, 829, 449], \"label\": \"potato\"},\n {\"box_2d\": [254, 511, 361, 552], \"label\": \"potato\"},\n {\"box_2d\": [397, 380, 482, 415], \"label\": \"potato\"},\n {\"box_2d\": [6, 517, 74, 546], \"label\": \"potato\"},\n {\"box_2d\": [72, 512, 146, 546], \"label\": \"potato\"},\n {\"box_2d\": [8, 339, 93, 371], \"label\": \"potato\"},\n {\"box_2d\": [316, 426, 384, 455], \"label\": \"potato\"},\n {\"box_2d\": [230, 384, 290, 409], \"label\": \"potato\"},\n {\"box_2d\": [196, 551, 292, 592], \"label\": \"potato\"},\n {\"box_2d\": [356, 511, 446, 546], \"label\": \"potato\"},\n {\"box_2d\": [6, 606, 80, 634], \"label\": \"potato\"},\n {\"box_2d\": [918, 417, 1000, 453], \"label\": \"potato\"},\n {\"box_2d\": [435, 338, 502, 364], \"label\": \"potato\"},\n {\"box_2d\": [757, 373, 842, 409], \"label\": \"potato\"},\n {\"box_2d\": [573, 508, 685, 552], \"label\": \"potato\"},\n {\"box_2d\": [480, 551, 570, 587], \"label\": \"potato\"},\n {\"box_2d\": [477, 375, 571, 410], \"label\": \"potato\"},\n {\"box_2d\": [548, 284, 650, 329], \"label\": \"potato\"},\n {\"box_2d\": [210, 688, 316, 725], \"label\": \"potato\"},\n {\"box_2d\": [155, 466, 267, 509], \"label\": \"potato\"},\n {\"box_2d\": [456, 466, 545, 497], \"label\": \"potato\"},\n {\"box_2d\": [586, 463, 680, 499], \"label\": \"potato\"},\n {\"box_2d\": [736, 591, 835, 627], \"label\": \"potato\"},\n {\"box_2d\": [618, 333, 687, 363], \"label\": \"potato\"},\n {\"box_2d\": [6, 472, 85, 505], \"label\": \"potato\"},\n {\"box_2d\": [689, 336, 761, 363], \"label\": \"potato\"},\n {\"box_2d\": [117, 599, 219, 640], \"label\": \"potato\"},\n {\"box_2d\": [266, 646, 334, 675], \"label\": \"potato\"},\n {\"box_2d\": [368, 550, 485, 605], \"label\": \"potato\"},\n {\"box_2d\": [21, 385, 108, 417], \"label\": \"potato\"},\n {\"box_2d\": [128, 251, 217, 287], \"label\": \"potato\"},\n {\"box_2d\": [835, 288, 896, 315], \"label\": \"potato\"},\n {\"box_2d\": [214, 340, 280, 367], \"label\": \"potato\"},\n {\"box_2d\": [364, 463, 453, 502], \"label\": \"potato\"},\n {\"box_2d\": [845, 461, 926, 494], \"label\": \"potato\"},\n {\"box_2d\": [6, 426, 85, 460], \"label\": \"potato\"},\n {\"box_2d\": [290, 557, 367, 590], \"label\": \"potato\"},\n {\"box_2d\": [314, 680, 430, 726], \"label\": \"potato\"},\n {\"box_2d\": [399, 414, 511, 458], \"label\": \"potato\"},\n {\"box_2d\": [96, 685, 176, 721], \"label\": \"potato\"},\n {\"box_2d\": [501, 329, 610, 372], \"label\": \"potato\"},\n {\"box_2d\": [144, 513, 245, 547], \"label\": \"potato\"},\n {\"box_2d\": [508, 597, 614, 637], \"label\": \"potato\"},\n {\"box_2d\": [663, 551, 771, 594], \"label\": \"potato\"},\n {\"box_2d\": [159, 383, 232, 416], \"label\": \"potato\"},\n {\"box_2d\": [689, 680, 793, 718], \"label\": \"potato\"},\n {\"box_2d\": [581, 372, 669, 412], \"label\": \"potato\"},\n {\"box_2d\": [341, 336, 439, 371], \"label\": \"potato\"},\n {\"box_2d\": [266, 464, 367, 505], \"label\": \"potato\"},\n {\"box_2d\": [377, 600, 474, 639], \"label\": \"potato\"},\n {\"box_2d\": [580, 415, 689, 456], \"label\": \"potato\"},\n {\"box_2d\": [23, 729, 117, 770], \"label\": \"potato\"},\n {\"box_2d\": [692, 466, 754, 492], \"label\": \"potato\"},\n {\"box_2d\": [445, 289, 533, 325], \"label\": \"potato\"},\n {\"box_2d\": [302, 731, 383, 763], \"label\": \"potato\"},\n {\"box_2d\": [443, 724, 535, 763], \"label\": \"potato\"},\n {\"box_2d\": [352, 285, 447, 329], \"label\": \"potato\"},\n {\"box_2d\": [480, 635, 600, 677], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 2439, "elapsed_seconds": 172.3177694999613, "metadata": {"match_method": "map", "num_predictions": 72, "num_ground_truth": 72, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 173.0241}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 32, "image": "V000078_0_0_jpeg_jpg.rf.ea93b54e17810ab845506f60bf69b7dd.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [799, 92, 968, 956], \"label\": \"technical drawing table\"},\n {\"box_2d\": [162, 342, 211, 444], \"label\": \"surface roughness symbol\"},\n {\"box_2d\": [123, 643, 187, 716], \"label\": \"dimension annotation\"},\n {\"box_2d\": [149, 757, 255, 928], \"label\": \"dimension annotation\"},\n {\"box_2d\": [324, 691, 383, 779], \"label\": \"dimension annotation\"},\n {\"box_2d\": [268, 169, 323, 232], \"label\": \"dimension annotation\"},\n {\"box_2d\": [275, 235, 322, 434], \"label\": \"dimension annotation\"},\n {\"box_2d\": [288, 431, 322, 483], \"label\": \"dimension annotation\"},\n {\"box_2d\": [288, 488, 322, 566], \"label\": \"dimension annotation\"},\n {\"box_2d\": [268, 167, 369, 483], \"label\": \"dimension annotation\"},\n {\"box_2d\": [336, 481, 369, 554], \"label\": \"dimension annotation\"},\n {\"box_2d\": [441, 134, 487, 239], \"label\": \"dimension annotation\"},\n {\"box_2d\": [440, 238, 487, 297], \"label\": \"dimension annotation\"},\n {\"box_2d\": [440, 491, 466, 602], \"label\": \"dimension annotation\"},\n {\"box_2d\": [493, 125, 531, 166], \"label\": \"dimension annotation\"},\n {\"box_2d\": [493, 181, 584, 217], \"label\": \"dimension annotation\"},\n {\"box_2d\": [478, 297, 577, 333], \"label\": \"dimension annotation\"},\n {\"box_2d\": [468, 565, 556, 629], \"label\": \"dimension annotation\"}\n]\n```", "correct": false, "input_tokens": 1237, "output_tokens": 643, "elapsed_seconds": 29.034496249980293, "metadata": {"match_method": "map", "num_predictions": 18, "num_ground_truth": 18, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.666666567325592, "attempts": 1, "retries": 0, "total_seconds": 29.0503}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 33, "image": "1226_8_jpg.rf.ca0a21572938b5c31e601cfcbf119e1e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [20, 20, 117, 117], \"label\": \"black rook\"},\n {\"box_2d\": [0, 139, 94, 245], \"label\": \"black knight\"},\n {\"box_2d\": [36, 265, 134, 355], \"label\": \"black bishop\"},\n {\"box_2d\": [9, 403, 128, 491], \"label\": \"black king\"},\n {\"box_2d\": [8, 533, 127, 620], \"label\": \"black queen\"},\n {\"box_2d\": [19, 899, 116, 1000], \"label\": \"black rook\"},\n {\"box_2d\": [141, 45, 214, 121], \"label\": \"black pawn\"},\n {\"box_2d\": [163, 652, 234, 723], \"label\": \"black pawn\"},\n {\"box_2d\": [169, 765, 240, 839], \"label\": \"black pawn\"},\n {\"box_2d\": [178, 914, 250, 996], \"label\": \"black pawn\"},\n {\"box_2d\": [281, 289, 351, 358], \"label\": \"black pawn\"},\n {\"box_2d\": [286, 399, 374, 488], \"label\": \"black bishop\"},\n {\"box_2d\": [426, 539, 496, 608], \"label\": \"black pawn\"},\n {\"box_2d\": [410, 895, 490, 1000], \"label\": \"black knight\"},\n {\"box_2d\": [523, 294, 594, 365], \"label\": \"white pawn\"},\n {\"box_2d\": [553, 760, 623, 834], \"label\": \"white pawn\"},\n {\"box_2d\": [643, 401, 714, 471], \"label\": \"white pawn\"},\n {\"box_2d\": [631, 641, 711, 745], \"label\": \"white knight\"},\n {\"box_2d\": [757, 57, 830, 132], \"label\": \"white pawn\"},\n {\"box_2d\": [767, 171, 840, 243], \"label\": \"white pawn\"},\n {\"box_2d\": [788, 642, 860, 713], \"label\": \"white pawn\"},\n {\"box_2d\": [774, 892, 846, 972], \"label\": \"white pawn\"},\n {\"box_2d\": [869, 39, 968, 134], \"label\": \"white rook\"},\n {\"box_2d\": [866, 133, 956, 237], \"label\": \"white knight\"},\n {\"box_2d\": [871, 283, 974, 373], \"label\": \"white bishop\"},\n {\"box_2d\": [866, 410, 988, 499], \"label\": \"white king\"},\n {\"box_2d\": [866, 533, 988, 621], \"label\": \"white queen\"},\n {\"box_2d\": [870, 655, 972, 745], \"label\": \"white bishop\"},\n {\"box_2d\": [879, 887, 977, 990], \"label\": \"white rook\"}\n]\n```", "correct": true, "input_tokens": 1259, "output_tokens": 1015, "elapsed_seconds": 41.74019037501421, "metadata": {"match_method": "map", "num_predictions": 29, "num_ground_truth": 29, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 42.0166}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 34, "image": "1218_18_jpg.rf.8c844a918f3bbbea9bc4a4e8bb703b7d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [134, 6, 223, 104], \"label\": \"white rook\"},\n {\"box_2d\": [32, 520, 132, 608], \"label\": \"black bishop\"},\n {\"box_2d\": [254, 257, 342, 346], \"label\": \"black knight\"},\n {\"box_2d\": [258, 632, 351, 718], \"label\": \"white knight\"},\n {\"box_2d\": [264, 876, 358, 1000], \"label\": \"white queen\"},\n {\"box_2d\": [378, 5, 464, 118], \"label\": \"black queen\"},\n {\"box_2d\": [508, 0, 597, 118], \"label\": \"white king\"},\n {\"box_2d\": [513, 278, 602, 367], \"label\": \"white bishop\"},\n {\"box_2d\": [518, 524, 606, 610], \"label\": \"black king\"},\n {\"box_2d\": [535, 766, 605, 839], \"label\": \"white pawn\"},\n {\"box_2d\": [628, 390, 707, 478], \"label\": \"black knight\"},\n {\"box_2d\": [637, 522, 718, 602], \"label\": \"white rook\"},\n {\"box_2d\": [641, 884, 720, 995], \"label\": \"white knight\"},\n {\"box_2d\": [746, 140, 849, 245], \"label\": \"white queen\"},\n {\"box_2d\": [769, 642, 843, 714], \"label\": \"black pawn\"},\n {\"box_2d\": [765, 768, 853, 859], \"label\": \"black rook\"},\n {\"box_2d\": [888, 405, 968, 480], \"label\": \"white pawn\"},\n {\"box_2d\": [882, 762, 1000, 871], \"label\": \"black queen\"}\n]\n```", "correct": true, "input_tokens": 1259, "output_tokens": 637, "elapsed_seconds": 79.19435320794582, "metadata": {"match_method": "map", "num_predictions": 18, "num_ground_truth": 18, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 79.469}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 35, "image": "42ba34_3_4_png_jpg.rf.963d6715a391a3a2fee3176cace44325.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [375, 0, 417, 10], \"label\": \"goalkeeper\"},\n {\"box_2d\": [676, 152, 740, 171], \"label\": \"player\"},\n {\"box_2d\": [581, 234, 638, 248], \"label\": \"player\"},\n {\"box_2d\": [517, 281, 571, 294], \"label\": \"player\"},\n {\"box_2d\": [494, 265, 546, 275], \"label\": \"player\"},\n {\"box_2d\": [351, 250, 391, 259], \"label\": \"player\"},\n {\"box_2d\": [356, 257, 394, 267], \"label\": \"player\"},\n {\"box_2d\": [301, 282, 336, 290], \"label\": \"player\"},\n {\"box_2d\": [294, 318, 331, 326], \"label\": \"player\"},\n {\"box_2d\": [283, 405, 317, 414], \"label\": \"player\"},\n {\"box_2d\": [401, 350, 447, 359], \"label\": \"referee\"},\n {\"box_2d\": [360, 434, 400, 443], \"label\": \"player\"},\n {\"box_2d\": [332, 463, 372, 474], \"label\": \"player\"},\n {\"box_2d\": [244, 491, 274, 498], \"label\": \"referee\"},\n {\"box_2d\": [353, 587, 393, 595], \"label\": \"player\"},\n {\"box_2d\": [294, 691, 332, 699], \"label\": \"player\"},\n {\"box_2d\": [352, 914, 388, 926], \"label\": \"goalkeeper\"},\n {\"box_2d\": [425, 804, 470, 814], \"label\": \"player\"},\n {\"box_2d\": [454, 722, 502, 735], \"label\": \"player\"},\n {\"box_2d\": [468, 677, 519, 689], \"label\": \"player\"},\n {\"box_2d\": [529, 606, 583, 619], \"label\": \"player\"},\n {\"box_2d\": [540, 583, 595, 595], \"label\": \"player\"},\n {\"box_2d\": [489, 563, 540, 575], \"label\": \"player\"},\n {\"box_2d\": [637, 956, 694, 978], \"label\": \"referee\"}\n]\n```", "correct": false, "input_tokens": 1242, "output_tokens": 830, "elapsed_seconds": 18.473246917012148, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6262376308441162, "attempts": 1, "retries": 0, "total_seconds": 18.603}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 36, "image": "170567v_JPG_jpg.rf.b4ec6b9d23ca24e31da874cd6f035dfa.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [568, 608, 697, 667], \"label\": \"cracked insulator\"},\n {\"box_2d\": [553, 574, 650, 632], \"label\": \"cracked insulator\"},\n {\"box_2d\": [540, 537, 668, 595], \"label\": \"cracked insulator\"},\n {\"box_2d\": [526, 513, 653, 560], \"label\": \"cracked insulator\"},\n {\"box_2d\": [502, 447, 619, 495], \"label\": \"cracked insulator\"},\n {\"box_2d\": [489, 405, 616, 461], \"label\": \"cracked insulator\"}\n]\n```", "correct": true, "input_tokens": 1244, "output_tokens": 228, "elapsed_seconds": 43.795380665920675, "metadata": {"match_method": "map", "num_predictions": 6, "num_ground_truth": 6, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 44.3369}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 37, "image": "wood-log-detection_092_png_jpg.rf.b7bfbb1ba7a477ea02f5974fce28583e.jpg", "expected": "", "predicted": "```json\n[{\"box_2d\": [770, 266, 845, 319], \"label\": \"log cross-section\"}, {\"box_2d\": [781, 358, 845, 405], \"label\": \"log cross-section\"}, {\"box_2d\": [742, 391, 809, 439], \"label\": \"log cross-section\"}, {\"box_2d\": [844, 266, 895, 297], \"label\": \"log cross-section\"}, {\"box_2d\": [828, 300, 912, 362], \"label\": \"log cross-section\"}, {\"box_2d\": [845, 364, 908, 403], \"label\": \"log cross-section\"}, {\"box_2d\": [834, 402, 898, 444], \"label\": \"log cross-section\"}, {\"box_2d\": [873, 431, 909, 456], \"label\": \"log cross-section\"}, {\"box_2d\": [875, 453, 916, 478], \"label\": \"log cross-section\"}, {\"box_2d\": [827, 467, 916, 528], \"label\": \"log cross-section\"}, {\"box_2d\": [759, 475, 830, 527], \"label\": \"log cross-section\"}, {\"box_2d\": [806, 520, 858, 558], \"label\": \"log cross-section\"}, {\"box_2d\": [758, 525, 814, 561], \"label\": \"log cross-section\"}, {\"box_2d\": [827, 552, 869, 570], \"label\": \"log cross-section\"}, {\"box_2d\": [847, 556, 916, 605], \"label\": \"log cross-section\"}, {\"box_2d\": [827, 600, 891, 642], \"label\": \"log cross-section\"}, {\"box_2d\": [731, 581, 830, 648], \"label\": \"log cross-section\"}, {\"box_2d\": [680, 464, 767, 533], \"label\": \"log cross-section\"}, {\"box_2d\": [694, 425, 756, 466], \"label\": \"log cross-section\"}, {\"box_2d\": [752, 355, 791, 381], \"label\": \"log cross-section\"}, {\"box_2d\": [712, 312, 780, 366], \"label\": \"log cross-section\"}, {\"box_2d\": [680, 266, 753, 314], \"label\": \"log cross-section\"}, {\"box_2d\": [695, 366, 761, 405], \"label\": \"log cross-section\"}, {\"box_2d\": [672, 397, 738, 434], \"label\": \"log cross-section\"}, {\"box_2d\": [644, 444, 697, 483], \"label\": \"log cross-section\"}, {\"box_2d\": [639, 362, 697, 406], \"label\": \"log cross-section\"}, {\"box_2d\": [641, 309, 711, 355], \"label\": \"log cross-section\"}, {\"box_2d\": [650, 272, 688, 300], \"label\": \"log cross-section\"}, {\"box_2d\": [588, 273, 656, 323], \"label\": \"log cross-section\"}, {\"box_2d\": [578, 320, 647, 369], \"label\": \"log cross-section\"}, {\"box_2d\": [575, 369, 645, 422], \"label\": \"log cross-section\"}, {\"box_2d\": [533, 333, 594, 381], \"label\": \"log cross-section\"}, {\"box_2d\": [553, 261, 600, 300], \"label\": \"log cross-section\"}, {\"box_2d\": [494, 267, 569, 323], \"label\": \"log cross-section\"}, {\"box_2d\": [505, 323, 550, 353], \"label\": \"log cross-section\"}, {\"box_2d\": [506, 372, 577, 423], \"label\": \"log cross-section\"}, {\"box_2d\": [469, 403, 523, 441], \"label\": \"log cross-section\"}, {\"box_2d\": [442, 369, 494, 408], \"label\": \"log cross-section\"}, {\"box_2d\": [425, 273, 495, 327], \"label\": \"log cross-section\"}, {\"box_2d\": [392, 308, 445, 352], \"label\": \"log cross-section\"}, {\"box_2d\": [345, 266, 398, 306], \"label\": \"log cross-section\"}, {\"box_2d\": [298, 262, 347, 303], \"label\": \"log cross-section\"}, {\"box_2d\": [234, 259, 302, 311], \"label\": \"log cross-section\"}, {\"box_2d\": [270, 314, 347, 378], \"label\": \"log cross-section\"}, {\"box_2d\": [153, 258, 236, 316], \"label\": \"log cross-section\"}, {\"box_2d\": [125, 214, 169, 248], \"label\": \"log cross-section\"}, {\"box_2d\": [109, 277, 159, 319], \"label\": \"log cross-section\"}, {\"box_2d\": [97, 320, 144, 355], \"label\": \"log cross-section\"}, {\"box_2d\": [36, 338, 97, 388], \"label\": \"log cross-section\"}, {\"box_2d\": [91, 383, 138, 420], \"label\": \"log cross-section\"}, {\"box_2d\": [142, 352, 211, 402], \"label\": \"log cross-section\"}, {\"box_2d\": [123, 431, 161, 456], \"label\": \"log cross-section\"}, {\"box_2d\": [150, 436, 214, 475], \"label\": \"log cross-section\"}, {\"box_2d\": [100, 466, 148, 498], \"label\": \"log cross-section\"}, {\"box_2d\": [138, 502, 189, 539], \"label\": \"log cross-section\"}, {\"box_2d\": [69, 531, 144, 586], \"label\": \"log cross-section\"}, {\"box_2d\": [83, 628, 127, 658], \"label\": \"log cross-section\"}, {\"box_2d\": [112, 584, 162, 622], \"label\": \"log cross-section\"}, {\"box_2d\": [148, 533, 217, 586], \"label\": \"log cross-section\"}, {\"box_2d\": [169, 583, 222, 620], \"label\": \"log cross-section\"}, {\"box_2d\": [114, 655, 161, 688], \"label\": \"log cross-section\"}, {\"box_2d\": [161, 631, 227, 681], \"label\": \"log cross-section\"}, {\"box_2d\": [138, 678, 222, 744], \"label\": \"log cross-section\"}, {\"box_2d\": [162, 742, 206, 775], \"label\": \"log cross-section\"}, {\"box_2d\": [161, 780, 209, 811], \"label\": \"log cross-section\"}, {\"box_2d\": [166, 808, 228, 850], \"label\": \"log cross-section\"}, {\"box_2d\": [222, 825, 272, 862], \"label\": \"log cross-section\"}, {\"box_2d\": [256, 767, 305, 817], \"label\": \"log cross-section\"}, {\"box_2d\": [295, 791, 356, 839], \"label\": \"log cross-section\"}, {\"box_2d\": [319, 731, 378, 773], \"label\": \"log cross-section\"}, {\"box_2d\": [306, 680, 381, 733], \"label\": \"log cross-section\"}, {\"box_2d\": [244, 639, 314, 695], \"label\": \"log cross-section\"}, {\"box_2d\": [219, 603, 281, 645], \"label\": \"log cross-section\"}, {\"box_2d\": [211, 558, 273, 605], \"label\": \"log cross-section\"}, {\"box_2d\": [266, 567, 336, 625], \"label\": \"log cross-section\"}, {\"box_2d\": [178, 495, 236, 536], \"label\": \"log cross-section\"}, {\"box_2d\": [208, 520, 255, 553], \"label\": \"log cross-section\"}, {\"box_2d\": [227, 359, 288, 408], \"label\": \"log cross-section\"}, {\"box_2d\": [273, 395, 323, 431], \"label\": \"log cross-section\"}, {\"box_2d\": [272, 430, 336, 473], \"label\": \"log cross-section\"}, {\"box_2d\": [230, 448, 286, 491], \"label\": \"log cross-section\"}, {\"box_2d\": [267, 488, 320, 528], \"label\": \"log cross-section\"}, {\"box_2d\": [317, 459, 392, 514], \"label\": \"log cross-section\"}, {\"box_2d\": [328, 384, 386, 425], \"label\": \"log cross-section\"}, {\"box_2d\": [362, 352, 417, 389], \"label\": \"log cross-section\"}, {\"box_2d\": [397, 380, 452, 417], \"label\": \"log cross-section\"}, {\"box_2d\": [422, 406, 473, 445], \"label\": \"log cross-section\"}, {\"box_2d\": [423, 447, 484, 492], \"label\": \"log cross-section\"}, {\"box_2d\": [423, 495, 481, 539], \"label\": \"log cross-section\"}, {\"box_2d\": [391, 556, 452, 603], \"label\": \"log cross-section\"}, {\"box_2d\": [387, 522, 439, 559], \"label\": \"log cross-section\"}, {\"box_2d\": [387, 639, 445, 686], \"label\": \"log cross-section\"}, {\"box_2d\": [367, 716, 420, 756], \"label\": \"log cross-section\"}, {\"box_2d\": [356, 764, 430, 822], \"label\": \"log cross-section\"}, {\"box_2d\": [416, 689, 473, 738], \"label\": \"log cross-section\"}, {\"box_2d\": [464, 744, 538, 800], \"label\": \"log cross-section\"}, {\"box_2d\": [508, 708, 572, 766], \"label\": \"log cross-section\"}, {\"box_2d\": [506, 628, 566, 675], \"label\": \"log cross-section\"}, {\"box_2d\": [489, 577, 545, 622], \"label\": \"log cross-section\"}, {\"box_2d\": [508, 536, 584, 588], \"label\": \"log cross-section\"}, {\"box_2d\": [481, 448, 552, 503], \"label\": \"log cross-section\"}, {\"box_2d\": [525, 417, 588, 459], \"label\": \"log cross-section\"}, {\"box_2d\": [550, 450, 627, 505], \"label\": \"log cross-section\"}, {\"box_2d\": [562, 508, 622, 552], \"label\": \"log cross-section\"}, {\"box_2d\": [573, 569, 639, 620], \"label\": \"log cross-section\"}, {\"box_2d\": [602, 533, 658, 575], \"label\": \"log cross-section\"}, {\"box_2d\": [644, 514, 703, 556], \"label\": \"log cross-section\"}, {\"box_2d\": [692, 534, 766, 589], \"label\": \"log cross-section\"}, {\"box_2d\": [673, 583, 731, 627], \"label\": \"log cross-section\"}, {\"box_2d\": [606, 616, 669, 666], \"label\": \"log cross-section\"}, {\"box_2d\": [562, 698, 614, 738], \"label\": \"log cross-section\"}, {\"box_2d\": [578, 733, 642, 783], \"label\": \"log cross-section\"}, {\"box_2d\": [575, 780, 638, 834], \"label\": \"log cross-section\"}, {\"box_2d\": [628, 744, 709, 808], \"label\": \"log cross-section\"}, {\"box_2d\": [686, 725, 741, 770], \"label\": \"log cross-section\"}, {\"box_2d\": [739, 730, 817, 791], \"label\": \"log cross-section\"}, {\"box_2d\": [798, 662, 870, 712], \"label\": \"log cross-section\"}, {\"box_2d\": [802, 628, 870, 670], \"label\": \"log cross-section\"}, {\"box_2d\": [748, 647, 811, 691], \"label\": \"log cross-section\"}, {\"box_2d\": [712, 670, 764, 709], \"label\": \"log cross-section\"}, {\"box_2d\": [705, 625, 756, 667], \"label\": \"log cross-section\"}]\n```", "correct": false, "input_tokens": 1228, "output_tokens": 4238, "elapsed_seconds": 57.02705683396198, "metadata": {"match_method": "map", "num_predictions": 121, "num_ground_truth": 206, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.4470086395740509, "attempts": 1, "retries": 0, "total_seconds": 57.0537}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 38, "image": "DJI_20230529111632_0087_T_JPG_jpg.rf.a0bcf6f9fb3a8158bd511491a1f333d9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [631, 681, 645, 694], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [525, 756, 536, 767], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [536, 594, 548, 603], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [264, 886, 275, 895], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [267, 845, 278, 855], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [261, 969, 272, 978], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [262, 927, 273, 938], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [647, 477, 658, 486], \"label\": \"solar panel hot spot\"}\n]\n```", "correct": false, "input_tokens": 1228, "output_tokens": 308, "elapsed_seconds": 10.54131195798982, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 9, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.11881186813116074, "attempts": 1, "retries": 0, "total_seconds": 10.5646}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 39, "image": "IMG_20260128_081648_jpg.rf.195a895d6fe7552e4b9d0fc4e44e0f46.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [618, 76, 725, 151], \"label\": \"white standard price tag\"},\n {\"box_2d\": [624, 150, 722, 236], \"label\": \"white standard price tag\"},\n {\"box_2d\": [624, 235, 727, 290], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [625, 290, 724, 370], \"label\": \"white standard price tag\"},\n {\"box_2d\": [627, 369, 726, 421], \"label\": \"white standard price tag\"},\n {\"box_2d\": [626, 421, 725, 492], \"label\": \"white standard price tag\"},\n {\"box_2d\": [626, 492, 727, 569], \"label\": \"white standard price tag\"},\n {\"box_2d\": [626, 569, 726, 639], \"label\": \"white standard price tag\"},\n {\"box_2d\": [619, 636, 951, 734], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [617, 712, 952, 804], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [633, 855, 729, 932], \"label\": \"white standard price tag\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 418, "elapsed_seconds": 160.62847387499642, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 161.1091}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 40, "image": "m4_tire_2024-10-17_18_png_jpg.rf.b3da826931757f1612878ecf9680a260.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [92, 300, 179, 519], \"label\": \"tire size text\"},\n {\"box_2d\": [708, 217, 774, 267], \"label\": \"tire size text\"},\n {\"box_2d\": [886, 535, 956, 718], \"label\": \"tire size text\"}\n]\n```", "correct": false, "input_tokens": 1226, "output_tokens": 119, "elapsed_seconds": 22.46010775002651, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5544553995132446, "attempts": 1, "retries": 0, "total_seconds": 22.8392}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 41, "image": "IMG_3864_JPG.rf.85dd012a4824e9d1050c085dd0a2e519.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [559, 41, 648, 168], \"label\": \"10000 poker chip\"},\n {\"box_2d\": [467, 98, 545, 217], \"label\": \"500 poker chip\"},\n {\"box_2d\": [607, 131, 703, 263], \"label\": \"500 poker chip\"},\n {\"box_2d\": [522, 218, 608, 343], \"label\": \"500 poker chip\"},\n {\"box_2d\": [350, 224, 419, 333], \"label\": \"100 poker chip\"},\n {\"box_2d\": [430, 286, 507, 402], \"label\": \"500 poker chip\"},\n {\"box_2d\": [361, 398, 429, 506], \"label\": \"500 poker chip\"},\n {\"box_2d\": [429, 402, 505, 516], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [441, 514, 519, 631], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [405, 612, 479, 728], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [447, 707, 526, 830], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [426, 819, 504, 944], \"label\": \"100 poker chip\"},\n {\"box_2d\": [512, 779, 601, 912], \"label\": \"100 poker chip\"},\n {\"box_2d\": [516, 650, 602, 780], \"label\": \"500 poker chip\"},\n {\"box_2d\": [529, 525, 618, 654], \"label\": \"500 poker chip\"},\n {\"box_2d\": [518, 399, 604, 524], \"label\": \"500 poker chip\"},\n {\"box_2d\": [575, 298, 669, 430], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [601, 420, 697, 553], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [662, 239, 766, 381], \"label\": \"500 poker chip\"},\n {\"box_2d\": [676, 495, 784, 639], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [675, 636, 783, 780], \"label\": \"500 poker chip\"},\n {\"box_2d\": [594, 706, 691, 847], \"label\": \"100 poker chip\"},\n {\"box_2d\": [685, 796, 796, 948], \"label\": \"1000 poker chip\"}\n]\n```", "correct": true, "input_tokens": 1229, "output_tokens": 894, "elapsed_seconds": 76.1451554580126, "metadata": {"match_method": "map", "num_predictions": 23, "num_ground_truth": 24, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9702969789505005, "attempts": 1, "retries": 0, "total_seconds": 76.9822}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 42, "image": "1217_2_jpg.rf.e0a2a15bcd44d66668e689fd59ca61fe.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [767, 159, 855, 250], \"label\": \"black bishop\"},\n {\"box_2d\": [2, 908, 86, 989], \"label\": \"black pawn\"},\n {\"box_2d\": [746, 745, 853, 854], \"label\": \"black king\"},\n {\"box_2d\": [27, 139, 128, 236], \"label\": \"white bishop\"},\n {\"box_2d\": [525, 275, 596, 346], \"label\": \"black pawn\"},\n {\"box_2d\": [2, 400, 125, 488], \"label\": \"white queen\"},\n {\"box_2d\": [546, 0, 624, 113], \"label\": \"black knight\"},\n {\"box_2d\": [397, 639, 476, 728], \"label\": \"white knight\"},\n {\"box_2d\": [179, 764, 255, 839], \"label\": \"white pawn\"},\n {\"box_2d\": [433, 901, 504, 978], \"label\": \"white pawn\"},\n {\"box_2d\": [287, 386, 358, 456], \"label\": \"black pawn\"},\n {\"box_2d\": [411, 25, 482, 108], \"label\": \"white pawn\"},\n {\"box_2d\": [285, 154, 358, 229], \"label\": \"white pawn\"},\n {\"box_2d\": [309, 869, 382, 949], \"label\": \"black pawn\"},\n {\"box_2d\": [387, 507, 473, 596], \"label\": \"black bishop\"},\n {\"box_2d\": [888, 882, 999, 999], \"label\": \"black queen\"},\n {\"box_2d\": [650, 878, 720, 954], \"label\": \"white pawn\"},\n {\"box_2d\": [149, 646, 224, 719], \"label\": \"white pawn\"},\n {\"box_2d\": [513, 124, 597, 231], \"label\": \"black queen\"},\n {\"box_2d\": [898, 641, 994, 722], \"label\": \"black rook\"},\n {\"box_2d\": [651, 631, 742, 721], \"label\": \"white queen\"},\n {\"box_2d\": [425, 768, 503, 870], \"label\": \"black knight\"},\n {\"box_2d\": [406, 298, 476, 370], \"label\": \"white pawn\"},\n {\"box_2d\": [517, 399, 597, 480], \"label\": \"white rook\"},\n {\"box_2d\": [761, 16, 845, 114], \"label\": \"white rook\"},\n {\"box_2d\": [881, 400, 974, 480], \"label\": \"black rook\"},\n {\"box_2d\": [781, 398, 855, 469], \"label\": \"black pawn\"},\n {\"box_2d\": [273, 625, 361, 716], \"label\": \"white bishop\"},\n {\"box_2d\": [899, 3, 996, 113], \"label\": \"white knight\"},\n {\"box_2d\": [171, 18, 243, 97], \"label\": \"black pawn\"},\n {\"box_2d\": [558, 608, 631, 680], \"label\": \"white pawn\"},\n {\"box_2d\": [5, 507, 130, 600], \"label\": \"white king\"}\n]\n```", "correct": true, "input_tokens": 1259, "output_tokens": 1116, "elapsed_seconds": 69.82556570798624, "metadata": {"match_method": "map", "num_predictions": 32, "num_ground_truth": 32, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 70.111}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 43, "image": "fabric-defect_904_jpg.rf.1cf391ad7827c3f000e3c8ea35472e5d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [401, 459, 509, 535], \"label\": \"fabric cut\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 47, "elapsed_seconds": 30.279212582972832, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 30.3054}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 44, "image": "20210325_204058_jpg.rf.29e7808c087a71e473dd9c19badaff2c.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [148, 430, 366, 645], \"label\": \"50 euro cent coin\"},\n {\"box_2d\": [256, 62, 444, 248], \"label\": \"5 euro cent coin\"},\n {\"box_2d\": [345, 267, 575, 498], \"label\": \"2 euro coin\"},\n {\"box_2d\": [500, 511, 645, 658], \"label\": \"1 euro cent coin\"},\n {\"box_2d\": [366, 645, 533, 816], \"label\": \"2 euro cent coin\"},\n {\"box_2d\": [606, 150, 808, 352], \"label\": \"20 euro cent coin\"},\n {\"box_2d\": [702, 439, 914, 650], \"label\": \"1 euro coin\"},\n {\"box_2d\": [562, 691, 744, 875], \"label\": \"10 euro cent coin\"}\n]\n```", "correct": true, "input_tokens": 1272, "output_tokens": 308, "elapsed_seconds": 18.07599945901893, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 18.1001}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 45, "image": "9999942_00000_d_0000135_jpg.rf.52553444f2adb8d7ba245527bc1de4b5.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [546, 535, 590, 603], \"label\": \"car\"},\n {\"box_2d\": [607, 519, 650, 591], \"label\": \"car\"},\n {\"box_2d\": [607, 673, 646, 722], \"label\": \"car\"},\n {\"box_2d\": [572, 372, 633, 449], \"label\": \"car\"},\n {\"box_2d\": [471, 463, 491, 474], \"label\": \"person\"},\n {\"box_2d\": [482, 471, 502, 480], \"label\": \"person\"},\n {\"box_2d\": [478, 449, 498, 459], \"label\": \"person\"},\n {\"box_2d\": [530, 271, 548, 290], \"label\": \"motorcycle\"},\n {\"box_2d\": [691, 102, 792, 160], \"label\": \"car\"},\n {\"box_2d\": [812, 136, 926, 185], \"label\": \"car\"},\n {\"box_2d\": [524, 9, 570, 77], \"label\": \"van\"},\n {\"box_2d\": [504, 54, 528, 75], \"label\": \"person\"},\n {\"box_2d\": [468, 82, 489, 102], \"label\": \"person\"},\n {\"box_2d\": [400, 58, 422, 74], \"label\": \"person\"},\n {\"box_2d\": [414, 71, 434, 91], \"label\": \"person\"},\n {\"box_2d\": [319, 174, 379, 204], \"label\": \"car\"},\n {\"box_2d\": [384, 151, 434, 184], \"label\": \"car\"},\n {\"box_2d\": [238, 373, 336, 412], \"label\": \"truck\"},\n {\"box_2d\": [133, 392, 200, 422], \"label\": \"car\"},\n {\"box_2d\": [188, 269, 259, 302], \"label\": \"car\"},\n {\"box_2d\": [238, 125, 304, 181], \"label\": \"car\"},\n {\"box_2d\": [92, 282, 170, 315], \"label\": \"van\"},\n {\"box_2d\": [158, 167, 193, 211], \"label\": \"car\"},\n {\"box_2d\": [126, 169, 164, 230], \"label\": \"car\"},\n {\"box_2d\": [95, 171, 131, 230], \"label\": \"car\"},\n {\"box_2d\": [0, 191, 36, 256], \"label\": \"van\"},\n {\"box_2d\": [44, 239, 103, 267], \"label\": \"car\"},\n {\"box_2d\": [28, 294, 93, 323], \"label\": \"car\"},\n {\"box_2d\": [0, 308, 23, 333], \"label\": \"car\"},\n {\"box_2d\": [0, 381, 41, 404], \"label\": \"van\"},\n {\"box_2d\": [20, 406, 78, 432], \"label\": \"car\"},\n {\"box_2d\": [110, 246, 140, 261], \"label\": \"person\"},\n {\"box_2d\": [109, 349, 138, 361], \"label\": \"person\"},\n {\"box_2d\": [120, 350, 143, 361], \"label\": \"bike\"}\n]\n```", "correct": false, "input_tokens": 1215, "output_tokens": 1142, "elapsed_seconds": 18.165083874948323, "metadata": {"match_method": "map", "num_predictions": 34, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.29965054988861084, "attempts": 1, "retries": 0, "total_seconds": 18.2794}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 46, "image": "tire_2024-09-25_27_png_jpg.rf.86e579b04ca3a3e9f7a480c31239539e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [77, 274, 161, 471], \"label\": \"tire size text\"},\n {\"box_2d\": [892, 470, 954, 678], \"label\": \"tire size text\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 83, "elapsed_seconds": 23.97154825006146, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6633663177490234, "attempts": 1, "retries": 0, "total_seconds": 24.4965}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 47, "image": "Container-144_jpg.rf.4f556fc57071dc9d870c03989b923d26.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [283, 558, 306, 607], \"label\": \"container ISO type code\"},\n {\"box_2d\": [251, 556, 275, 734], \"label\": \"shipping container number\"}\n]\n```", "correct": true, "input_tokens": 1232, "output_tokens": 85, "elapsed_seconds": 24.55679050006438, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 24.6002}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 48, "image": "frame_0151_jpg.rf.6c7fef6c392aec746239d36e4257e862.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [779, 581, 847, 621], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [473, 675, 534, 709], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [349, 648, 405, 681], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [417, 569, 484, 606], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [265, 538, 321, 574], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [166, 532, 224, 567], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [493, 466, 557, 502], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [275, 444, 344, 483], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [199, 442, 257, 476], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [114, 427, 173, 459], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [639, 369, 712, 409], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [578, 365, 646, 406], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [339, 333, 407, 371], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [216, 339, 282, 376], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [110, 335, 168, 370], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [138, 238, 204, 279], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [293, 248, 356, 286], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [502, 254, 572, 297], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [468, 206, 529, 245], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [720, 237, 799, 282], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [895, 238, 960, 287], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [786, 68, 871, 131], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [618, 86, 697, 132], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [427, 83, 501, 139], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [301, 117, 366, 161], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [130, 128, 196, 172], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 348, 49, 381], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [5, 381, 46, 409], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [5, 415, 49, 444], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [15, 443, 54, 469], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 514, 49, 546], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [26, 550, 77, 582], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 611, 56, 636], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 252, 43, 283], \"label\": \"garlic on conveyor\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 1211, "elapsed_seconds": 18.450531875016168, "metadata": {"match_method": "map", "num_predictions": 34, "num_ground_truth": 27, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9938119053840637, "attempts": 1, "retries": 0, "total_seconds": 18.5894}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 49, "image": "4106884_ContLeftUpper_f_jpg.rf.92488d92926163302f246be3b53efb13.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [230, 17, 260, 44], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [219, 100, 262, 127], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [224, 179, 263, 206], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [232, 255, 265, 282], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [238, 336, 264, 362], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [235, 417, 263, 443], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [236, 493, 262, 517], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [240, 571, 262, 597], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [243, 650, 263, 676], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [399, 200, 456, 245], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [411, 297, 452, 323], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [422, 379, 450, 405], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [520, 67, 548, 89], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [521, 145, 550, 169], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [525, 223, 552, 244], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [529, 303, 551, 323], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [529, 382, 550, 403], \"label\": \"shipping container wall dent\"}\n]\n```", "correct": false, "input_tokens": 1219, "output_tokens": 637, "elapsed_seconds": 28.292883082991466, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.37871286273002625, "attempts": 1, "retries": 0, "total_seconds": 28.4578}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 50, "image": "img_459031286691397716_png.rf.6de9abc735878b2b2cc1f1fa95486a5f.jpg", "expected": "", "predicted": "```json\n[{\"box_2d\": [39, 166, 178, 303], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [128, 148, 258, 290], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [221, 130, 353, 281], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [324, 104, 463, 267], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [436, 79, 576, 253], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [560, 48, 699, 240], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [699, 17, 839, 224], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [841, 0, 1000, 198], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [9, 299, 129, 430], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [96, 287, 217, 425], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [187, 275, 310, 420], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [283, 259, 417, 412], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [391, 246, 526, 405], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [512, 226, 650, 396], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [649, 208, 787, 386], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [789, 181, 944, 374], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [48, 420, 165, 554], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [134, 414, 250, 555], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [229, 408, 353, 555], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [332, 396, 462, 548], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [444, 393, 577, 552], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [567, 375, 703, 544], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [705, 369, 845, 549], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [847, 354, 1000, 545], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [13, 547, 136, 678], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [99, 545, 214, 682], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [190, 542, 311, 686], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [288, 538, 423, 689], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [397, 539, 531, 697], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [517, 533, 652, 700], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [649, 534, 789, 710], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [791, 532, 944, 718], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [50, 673, 181, 805], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [137, 676, 267, 815], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [231, 679, 365, 825], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [333, 679, 469, 837], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [447, 685, 581, 853], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [573, 687, 709, 867], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [709, 699, 849, 886], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [852, 708, 1000, 913], \"label\": \"empty portable gas cylinder\"}]```", "correct": true, "input_tokens": 1203, "output_tokens": 1437, "elapsed_seconds": 67.47091066697612, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 40, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 67.584}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 51, "image": "1668147211__jpg.rf.0ee3d637cd990a070a8c1bcc234c9d5a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [53, 648, 111, 681], \"label\": \"six die\"},\n {\"box_2d\": [88, 673, 151, 707], \"label\": \"three die\"},\n {\"box_2d\": [149, 769, 206, 802], \"label\": \"two die\"},\n {\"box_2d\": [283, 739, 340, 770], \"label\": \"three die\"},\n {\"box_2d\": [287, 870, 341, 902], \"label\": \"five die\"},\n {\"box_2d\": [427, 806, 479, 836], \"label\": \"two die\"},\n {\"box_2d\": [478, 862, 534, 895], \"label\": \"one die\"},\n {\"box_2d\": [504, 799, 562, 833], \"label\": \"four die\"},\n {\"box_2d\": [506, 842, 562, 875], \"label\": \"four die\"},\n {\"box_2d\": [584, 797, 636, 829], \"label\": \"two die\"},\n {\"box_2d\": [599, 838, 648, 867], \"label\": \"one die\"},\n {\"box_2d\": [652, 800, 710, 833], \"label\": \"four die\"},\n {\"box_2d\": [649, 833, 701, 863], \"label\": \"two die\"},\n {\"box_2d\": [600, 878, 660, 912], \"label\": \"two die\"},\n {\"box_2d\": [107, 243, 165, 274], \"label\": \"three die\"},\n {\"box_2d\": [155, 255, 211, 288], \"label\": \"four die\"},\n {\"box_2d\": [210, 218, 268, 251], \"label\": \"two die\"},\n {\"box_2d\": [254, 194, 314, 227], \"label\": \"four die\"},\n {\"box_2d\": [250, 238, 302, 268], \"label\": \"three die\"},\n {\"box_2d\": [219, 296, 273, 326], \"label\": \"two die\"},\n {\"box_2d\": [373, 193, 419, 221], \"label\": \"three die\"},\n {\"box_2d\": [432, 198, 487, 230], \"label\": \"five die\"},\n {\"box_2d\": [189, 365, 249, 399], \"label\": \"three die\"},\n {\"box_2d\": [227, 340, 285, 372], \"label\": \"five die\"},\n {\"box_2d\": [244, 370, 304, 403], \"label\": \"one die\"},\n {\"box_2d\": [271, 400, 323, 427], \"label\": \"one die\"},\n {\"box_2d\": [329, 369, 383, 398], \"label\": \"six die\"},\n {\"box_2d\": [177, 454, 231, 484], \"label\": \"one die\"},\n {\"box_2d\": [242, 458, 303, 491], \"label\": \"four die\"},\n {\"box_2d\": [237, 491, 294, 522], \"label\": \"three die\"},\n {\"box_2d\": [391, 418, 440, 445], \"label\": \"five die\"},\n {\"box_2d\": [354, 446, 413, 479], \"label\": \"two die\"},\n {\"box_2d\": [350, 555, 412, 590], \"label\": \"six die\"},\n {\"box_2d\": [529, 304, 583, 335], \"label\": \"one die\"},\n {\"box_2d\": [619, 308, 673, 339], \"label\": \"one die\"},\n {\"box_2d\": [623, 177, 673, 206], \"label\": \"six die\"},\n {\"box_2d\": [637, 208, 695, 242], \"label\": \"four die\"},\n {\"box_2d\": [757, 221, 817, 255], \"label\": \"five die\"},\n {\"box_2d\": [654, 28, 701, 56], \"label\": \"six die\"},\n {\"box_2d\": [888, 112, 941, 141], \"label\": \"one die\"},\n {\"box_2d\": [602, 379, 659, 411], \"label\": \"three die\"},\n {\"box_2d\": [578, 416, 631, 445], \"label\": \"four die\"},\n {\"box_2d\": [654, 397, 703, 426], \"label\": \"six die\"},\n {\"box_2d\": [682, 425, 738, 456], \"label\": \"four die\"},\n {\"box_2d\": [661, 449, 715, 479], \"label\": \"three die\"},\n {\"box_2d\": [618, 507, 665, 534], \"label\": \"one die\"},\n {\"box_2d\": [659, 526, 712, 556], \"label\": \"four die\"},\n {\"box_2d\": [776, 470, 829, 500], \"label\": \"three die\"},\n {\"box_2d\": [779, 535, 830, 563], \"label\": \"one die\"},\n {\"box_2d\": [694, 616, 753, 649], \"label\": \"three die\"},\n {\"box_2d\": [854, 580, 908, 610], \"label\": \"two die\"}\n]\n```", "correct": true, "input_tokens": 1252, "output_tokens": 1793, "elapsed_seconds": 40.18456437496934, "metadata": {"match_method": "map", "num_predictions": 51, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8611294627189636, "attempts": 1, "retries": 0, "total_seconds": 40.2416}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 52, "image": "3533container_jpg.rf.12bfe57075507c019cfd5dc24dd08b40.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [506, 148, 560, 181], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [461, 646, 526, 667], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [416, 487, 456, 543], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [324, 484, 380, 505], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [508, 25, 581, 142], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [630, 315, 678, 585], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [357, 239, 463, 344], \"label\": \"shipping container wall dent\"}\n]\n```", "correct": false, "input_tokens": 1219, "output_tokens": 270, "elapsed_seconds": 68.7186787079554, "metadata": {"match_method": "map", "num_predictions": 7, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0891088992357254, "attempts": 1, "retries": 0, "total_seconds": 68.8408}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 53, "image": "DJI_20230529095121_0346_T_JPG_jpg.rf.a2baa2ffdce5ec84e5f5d22342f6b310.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [703, 464, 725, 483], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [706, 502, 728, 517], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [712, 589, 730, 603], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [319, 302, 333, 319], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [828, 858, 845, 875], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [831, 900, 847, 916], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [459, 916, 475, 933], \"label\": \"solar panel hot spot\"}\n]\n```", "correct": true, "input_tokens": 1228, "output_tokens": 271, "elapsed_seconds": 7.265365249942988, "metadata": {"match_method": "map", "num_predictions": 7, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8712871074676514, "attempts": 1, "retries": 0, "total_seconds": 7.2878}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 54, "image": "IMG_20250815_170041_jpg.rf.a65978ab35e2cb48c68d9eebdeaab87b.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [584, 309, 672, 412], \"label\": \"barcode\"},\n {\"box_2d\": [666, 0, 756, 75], \"label\": \"barcode\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 77, "elapsed_seconds": 54.092516999924555, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 54.5431}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 55, "image": "1_000070_png.rf.a431761eff2c713a18daff7bade25bde.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [779, 845, 819, 859], \"label\": \"tire spike absent\"},\n {\"box_2d\": [781, 635, 816, 648], \"label\": \"tire spike absent\"},\n {\"box_2d\": [787, 751, 829, 766], \"label\": \"tire spike normal\"},\n {\"box_2d\": [761, 502, 812, 522], \"label\": \"tire spike normal\"},\n {\"box_2d\": [659, 444, 703, 463], \"label\": \"tire spike normal\"},\n {\"box_2d\": [742, 391, 780, 405], \"label\": \"tire spike absent\"},\n {\"box_2d\": [637, 330, 675, 345], \"label\": \"tire spike normal\"},\n {\"box_2d\": [729, 285, 766, 297], \"label\": \"tire spike normal\"},\n {\"box_2d\": [757, 228, 795, 244], \"label\": \"tire spike absent\"},\n {\"box_2d\": [699, 178, 738, 191], \"label\": \"tire spike absent\"},\n {\"box_2d\": [623, 138, 656, 152], \"label\": \"tire spike normal\"},\n {\"box_2d\": [686, 102, 718, 114], \"label\": \"tire spike normal\"},\n {\"box_2d\": [592, 72, 623, 84], \"label\": \"tire spike normal\"},\n {\"box_2d\": [666, 51, 697, 61], \"label\": \"tire spike normal\"},\n {\"box_2d\": [603, 27, 639, 36], \"label\": \"tire spike absent\"},\n {\"box_2d\": [324, 38, 353, 45], \"label\": \"tire spike absent\"},\n {\"box_2d\": [276, 57, 309, 67], \"label\": \"tire spike normal\"},\n {\"box_2d\": [182, 89, 214, 100], \"label\": \"tire spike normal\"},\n {\"box_2d\": [266, 110, 297, 119], \"label\": \"tire spike absent\"},\n {\"box_2d\": [219, 140, 250, 152], \"label\": \"tire spike normal\"},\n {\"box_2d\": [151, 194, 189, 206], \"label\": \"tire spike normal\"},\n {\"box_2d\": [209, 246, 246, 260], \"label\": \"tire spike normal\"},\n {\"box_2d\": [291, 286, 331, 301], \"label\": \"tire spike normal\"},\n {\"box_2d\": [189, 351, 229, 366], \"label\": \"tire spike normal\"},\n {\"box_2d\": [301, 396, 340, 412], \"label\": \"tire spike absent\"},\n {\"box_2d\": [199, 464, 244, 482], \"label\": \"tire spike normal\"},\n {\"box_2d\": [184, 521, 232, 537], \"label\": \"tire spike normal\"},\n {\"box_2d\": [244, 594, 289, 612], \"label\": \"tire spike normal\"},\n {\"box_2d\": [215, 648, 259, 663], \"label\": \"tire spike normal\"},\n {\"box_2d\": [270, 716, 314, 730], \"label\": \"tire spike normal\"},\n {\"box_2d\": [228, 764, 269, 774], \"label\": \"tire spike normal\"},\n {\"box_2d\": [295, 818, 333, 829], \"label\": \"tire spike normal\"},\n {\"box_2d\": [377, 855, 414, 865], \"label\": \"tire spike normal\"},\n {\"box_2d\": [292, 895, 326, 903], \"label\": \"tire spike normal\"},\n {\"box_2d\": [392, 918, 424, 926], \"label\": \"tire spike normal\"},\n {\"box_2d\": [306, 945, 341, 952], \"label\": \"tire spike normal\"},\n {\"box_2d\": [408, 959, 439, 965], \"label\": \"tire spike normal\"},\n {\"box_2d\": [315, 970, 348, 976], \"label\": \"tire spike normal\"},\n {\"box_2d\": [757, 961, 795, 966], \"label\": \"tire spike normal\"},\n {\"box_2d\": [689, 964, 725, 970], \"label\": \"tire spike normal\"},\n {\"box_2d\": [755, 932, 793, 942], \"label\": \"tire spike absent\"},\n {\"box_2d\": [691, 939, 729, 947], \"label\": \"tire spike normal\"},\n {\"box_2d\": [702, 884, 739, 894], \"label\": \"tire spike normal\"},\n {\"box_2d\": [779, 891, 815, 902], \"label\": \"tire spike absent\"},\n {\"box_2d\": [828, 799, 870, 812], \"label\": \"tire spike absent\"},\n {\"box_2d\": [822, 695, 864, 710], \"label\": \"tire spike absent\"},\n {\"box_2d\": [812, 572, 854, 588], \"label\": \"tire spike normal\"}\n]\n```", "correct": false, "input_tokens": 1222, "output_tokens": 1693, "elapsed_seconds": 58.49776774994098, "metadata": {"match_method": "map", "num_predictions": 47, "num_ground_truth": 46, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.46735554933547974, "attempts": 1, "retries": 0, "total_seconds": 58.5797}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 56, "image": "egg-detection_image148_jpg.rf.7ef43d25f8e9b9b7f3d805f238830ff7.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [774, 520, 855, 580], \"label\": \"egg\"},\n {\"box_2d\": [704, 617, 787, 676], \"label\": \"egg\"},\n {\"box_2d\": [753, 657, 836, 718], \"label\": \"egg\"},\n {\"box_2d\": [799, 699, 881, 756], \"label\": \"egg\"},\n {\"box_2d\": [739, 742, 816, 795], \"label\": \"egg\"},\n {\"box_2d\": [909, 676, 983, 732], \"label\": \"egg\"},\n {\"box_2d\": [891, 731, 976, 773], \"label\": \"egg\"},\n {\"box_2d\": [585, 595, 673, 659], \"label\": \"egg\"},\n {\"box_2d\": [579, 659, 666, 719], \"label\": \"egg\"},\n {\"box_2d\": [632, 699, 719, 759], \"label\": \"egg\"},\n {\"box_2d\": [624, 757, 706, 809], \"label\": \"egg\"},\n {\"box_2d\": [513, 715, 595, 769], \"label\": \"egg\"},\n {\"box_2d\": [441, 762, 553, 803], \"label\": \"egg\"},\n {\"box_2d\": [400, 631, 487, 694], \"label\": \"egg\"},\n {\"box_2d\": [406, 531, 493, 594], \"label\": \"egg\"},\n {\"box_2d\": [332, 713, 419, 771], \"label\": \"egg\"},\n {\"box_2d\": [275, 660, 360, 719], \"label\": \"egg\"},\n {\"box_2d\": [222, 699, 303, 754], \"label\": \"egg\"},\n {\"box_2d\": [111, 686, 189, 739], \"label\": \"egg\"},\n {\"box_2d\": [104, 613, 185, 675], \"label\": \"egg\"},\n {\"box_2d\": [158, 517, 239, 577], \"label\": \"egg\"},\n {\"box_2d\": [54, 570, 134, 625], \"label\": \"egg\"},\n {\"box_2d\": [20, 706, 94, 759], \"label\": \"egg\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 791, "elapsed_seconds": 42.272532333037816, "metadata": {"match_method": "map", "num_predictions": 23, "num_ground_truth": 23, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 42.41}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 57, "image": "wood-log-detection_024_png_jpg.rf.263e49a755104b6d29dbdffe768891e9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [66, 294, 189, 434], \"label\": \"log cross-section\"},\n {\"box_2d\": [103, 412, 166, 483], \"label\": \"log cross-section\"},\n {\"box_2d\": [122, 597, 181, 691], \"label\": \"log cross-section\"},\n {\"box_2d\": [153, 656, 223, 725], \"label\": \"log cross-section\"},\n {\"box_2d\": [200, 681, 255, 742], \"label\": \"log cross-section\"},\n {\"box_2d\": [177, 595, 250, 659], \"label\": \"log cross-section\"},\n {\"box_2d\": [208, 616, 273, 683], \"label\": \"log cross-section\"},\n {\"box_2d\": [153, 533, 223, 598], \"label\": \"log cross-section\"},\n {\"box_2d\": [184, 511, 227, 550], \"label\": \"log cross-section\"},\n {\"box_2d\": [223, 562, 267, 597], \"label\": \"log cross-section\"},\n {\"box_2d\": [259, 558, 344, 628], \"label\": \"log cross-section\"},\n {\"box_2d\": [269, 611, 338, 662], \"label\": \"log cross-section\"},\n {\"box_2d\": [253, 655, 323, 738], \"label\": \"log cross-section\"},\n {\"box_2d\": [295, 672, 353, 742], \"label\": \"log cross-section\"},\n {\"box_2d\": [328, 622, 355, 691], \"label\": \"log cross-section\"},\n {\"box_2d\": [295, 528, 356, 580], \"label\": \"log cross-section\"},\n {\"box_2d\": [225, 517, 294, 566], \"label\": \"log cross-section\"},\n {\"box_2d\": [252, 489, 305, 534], \"label\": \"log cross-section\"},\n {\"box_2d\": [294, 475, 342, 517], \"label\": \"log cross-section\"},\n {\"box_2d\": [298, 417, 361, 498], \"label\": \"log cross-section\"},\n {\"box_2d\": [269, 420, 314, 480], \"label\": \"log cross-section\"},\n {\"box_2d\": [231, 439, 275, 483], \"label\": \"log cross-section\"},\n {\"box_2d\": [203, 422, 244, 478], \"label\": \"log cross-section\"},\n {\"box_2d\": [216, 486, 250, 522], \"label\": \"log cross-section\"},\n {\"box_2d\": [153, 444, 214, 502], \"label\": \"log cross-section\"},\n {\"box_2d\": [127, 475, 169, 502], \"label\": \"log cross-section\"},\n {\"box_2d\": [169, 389, 223, 425], \"label\": \"log cross-section\"},\n {\"box_2d\": [238, 388, 283, 431], \"label\": \"log cross-section\"},\n {\"box_2d\": [278, 352, 345, 400], \"label\": \"log cross-section\"},\n {\"box_2d\": [248, 323, 306, 367], \"label\": \"log cross-section\"},\n {\"box_2d\": [191, 320, 267, 386], \"label\": \"log cross-section\"},\n {\"box_2d\": [147, 319, 192, 370], \"label\": \"log cross-section\"},\n {\"box_2d\": [127, 241, 175, 294], \"label\": \"log cross-section\"},\n {\"box_2d\": [145, 281, 198, 328], \"label\": \"log cross-section\"},\n {\"box_2d\": [175, 245, 234, 316], \"label\": \"log cross-section\"},\n {\"box_2d\": [216, 239, 258, 286], \"label\": \"log cross-section\"},\n {\"box_2d\": [225, 294, 272, 339], \"label\": \"log cross-section\"},\n {\"box_2d\": [252, 248, 325, 323], \"label\": \"log cross-section\"},\n {\"box_2d\": [308, 242, 355, 311], \"label\": \"log cross-section\"},\n {\"box_2d\": [306, 392, 355, 425], \"label\": \"log cross-section\"}\n]\n```", "correct": false, "input_tokens": 1228, "output_tokens": 1491, "elapsed_seconds": 17.194185417029075, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 40, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.16577352583408356, "attempts": 1, "retries": 0, "total_seconds": 17.2184}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 58, "image": "img_458587397241176242_png.rf.41b1d861ca437ce5097848dacad76db8.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [742, 424, 868, 591], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [850, 121, 991, 299], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [865, 412, 1000, 585], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [817, 571, 971, 742], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [875, 728, 1000, 915], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [806, 267, 943, 449], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [736, 146, 855, 319], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [689, 288, 809, 456], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [694, 572, 821, 738], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [746, 721, 882, 899], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [623, 718, 748, 885], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [575, 573, 697, 730], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [623, 434, 743, 591], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [578, 303, 692, 459], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [623, 168, 738, 333], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [518, 189, 632, 342], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [474, 317, 586, 466], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [512, 441, 630, 591], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [465, 572, 582, 722], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [504, 712, 628, 871], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [396, 706, 517, 859], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [363, 572, 476, 719], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [413, 448, 526, 591], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [377, 329, 492, 471], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [423, 210, 535, 355], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [332, 224, 442, 366], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [289, 342, 401, 478], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [319, 456, 428, 591], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [269, 575, 378, 716], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [298, 701, 415, 847], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [208, 701, 319, 839], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [182, 576, 289, 711], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [229, 461, 336, 591], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [206, 351, 312, 478], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [249, 244, 352, 375], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [171, 250, 273, 375], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [127, 364, 226, 483], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [147, 464, 249, 588], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [101, 583, 207, 709], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [121, 697, 232, 833], \"label\": \"empty portable gas cylinder\"}\n]\n```", "correct": false, "input_tokens": 1208, "output_tokens": 1494, "elapsed_seconds": 21.79319212504197, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 40, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.375, "attempts": 1, "retries": 0, "total_seconds": 21.9122}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 59, "image": "frame_0008_jpg.rf.87aed24f253375f69a3bb398f6521d18.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [771, 485, 819, 511], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [654, 490, 704, 518], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [541, 502, 588, 530], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [526, 438, 577, 466], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [641, 424, 691, 453], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [757, 419, 807, 446], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [742, 357, 790, 383], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [628, 362, 678, 390], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [512, 376, 563, 404], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [497, 315, 549, 343], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [607, 302, 659, 329], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [721, 296, 770, 322], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [216, 326, 260, 350], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [209, 384, 253, 409], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [117, 390, 162, 414], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [126, 333, 170, 357], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [39, 341, 82, 364], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [31, 396, 73, 419], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [25, 451, 69, 474], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [112, 448, 155, 472], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [204, 446, 248, 471], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [204, 509, 248, 534], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [112, 506, 155, 531], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [27, 506, 68, 529], \"label\": \"soda bottle cap\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 868, "elapsed_seconds": 148.3817145000212, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 24, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 148.9636}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 60, "image": "uav20221018_ixfZ_3857_0_png.rf.68f3022f53a4bfe08c731fb3a58473cf.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [230, 329, 315, 405], \"label\": \"banana tree\"},\n {\"box_2d\": [206, 407, 272, 471], \"label\": \"banana tree\"},\n {\"box_2d\": [283, 404, 344, 469], \"label\": \"banana tree\"},\n {\"box_2d\": [324, 322, 397, 396], \"label\": \"banana tree\"},\n {\"box_2d\": [368, 402, 439, 480], \"label\": \"banana tree\"},\n {\"box_2d\": [416, 336, 480, 396], \"label\": \"banana tree\"},\n {\"box_2d\": [447, 406, 513, 479], \"label\": \"banana tree\"},\n {\"box_2d\": [498, 324, 571, 406], \"label\": \"banana tree\"},\n {\"box_2d\": [540, 412, 603, 465], \"label\": \"banana tree\"},\n {\"box_2d\": [579, 334, 659, 396], \"label\": \"banana tree\"},\n {\"box_2d\": [666, 338, 738, 412], \"label\": \"banana tree\"},\n {\"box_2d\": [623, 409, 703, 484], \"label\": \"banana tree\"},\n {\"box_2d\": [750, 321, 833, 402], \"label\": \"banana tree\"},\n {\"box_2d\": [713, 416, 783, 473], \"label\": \"banana tree\"},\n {\"box_2d\": [797, 404, 875, 478], \"label\": \"banana tree\"},\n {\"box_2d\": [845, 340, 913, 402], \"label\": \"banana tree\"},\n {\"box_2d\": [880, 406, 949, 485], \"label\": \"banana tree\"},\n {\"box_2d\": [928, 338, 998, 399], \"label\": \"banana tree\"},\n {\"box_2d\": [960, 408, 1000, 475], \"label\": \"banana tree\"},\n {\"box_2d\": [958, 619, 1000, 697], \"label\": \"banana tree\"},\n {\"box_2d\": [870, 622, 938, 704], \"label\": \"banana tree\"},\n {\"box_2d\": [909, 702, 988, 771], \"label\": \"banana tree\"},\n {\"box_2d\": [820, 694, 907, 771], \"label\": \"banana tree\"},\n {\"box_2d\": [786, 634, 862, 702], \"label\": \"banana tree\"},\n {\"box_2d\": [739, 699, 816, 779], \"label\": \"banana tree\"},\n {\"box_2d\": [702, 622, 773, 707], \"label\": \"banana tree\"},\n {\"box_2d\": [654, 697, 735, 780], \"label\": \"banana tree\"},\n {\"box_2d\": [618, 646, 678, 706], \"label\": \"banana tree\"},\n {\"box_2d\": [566, 705, 650, 777], \"label\": \"banana tree\"},\n {\"box_2d\": [531, 619, 608, 701], \"label\": \"banana tree\"},\n {\"box_2d\": [454, 623, 513, 698], \"label\": \"banana tree\"},\n {\"box_2d\": [474, 694, 565, 774], \"label\": \"banana tree\"},\n {\"box_2d\": [397, 698, 483, 773], \"label\": \"banana tree\"},\n {\"box_2d\": [363, 618, 443, 693], \"label\": \"banana tree\"},\n {\"box_2d\": [315, 690, 405, 767], \"label\": \"banana tree\"},\n {\"box_2d\": [275, 627, 344, 690], \"label\": \"banana tree\"},\n {\"box_2d\": [231, 690, 315, 763], \"label\": \"banana tree\"},\n {\"box_2d\": [181, 681, 250, 756], \"label\": \"banana tree\"},\n {\"box_2d\": [199, 934, 267, 987], \"label\": \"banana tree\"},\n {\"box_2d\": [283, 927, 372, 995], \"label\": \"banana tree\"},\n {\"box_2d\": [377, 928, 446, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [447, 933, 533, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [540, 920, 622, 999], \"label\": \"banana tree\"},\n {\"box_2d\": [628, 938, 699, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [708, 931, 784, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [797, 946, 864, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [878, 933, 956, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [960, 949, 1000, 999], \"label\": \"banana tree\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 1701, "elapsed_seconds": 20.523569916025735, "metadata": {"match_method": "map", "num_predictions": 48, "num_ground_truth": 47, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9344059228897095, "attempts": 1, "retries": 0, "total_seconds": 20.5905}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 61, "image": "egg-detection_image32_jpg.rf.bd04bf65691e0bae0f1d97601289a543.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [450, 427, 537, 491], \"label\": \"egg\"},\n {\"box_2d\": [177, 694, 255, 753], \"label\": \"egg\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 80, "elapsed_seconds": 108.48487212497275, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 108.6273}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 62, "image": "construction-safety_ppe_0407_jpg.rf.b54d8bba5b223e0515f3d28ff728e79a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [329, 822, 375, 862], \"label\": \"safety helmet\"},\n {\"box_2d\": [306, 697, 369, 742], \"label\": \"safety helmet\"},\n {\"box_2d\": [349, 654, 392, 683], \"label\": \"safety helmet\"},\n {\"box_2d\": [399, 591, 444, 617], \"label\": \"safety helmet\"},\n {\"box_2d\": [377, 535, 434, 567], \"label\": \"safety helmet\"},\n {\"box_2d\": [344, 463, 389, 495], \"label\": \"safety helmet\"},\n {\"box_2d\": [357, 404, 405, 433], \"label\": \"safety helmet\"},\n {\"box_2d\": [372, 353, 417, 382], \"label\": \"safety helmet\"},\n {\"box_2d\": [417, 825, 637, 891], \"label\": \"safety vest\"},\n {\"box_2d\": [401, 686, 680, 765], \"label\": \"safety vest\"},\n {\"box_2d\": [434, 646, 608, 695], \"label\": \"safety vest\"},\n {\"box_2d\": [461, 583, 652, 631], \"label\": \"safety vest\"},\n {\"box_2d\": [450, 524, 649, 574], \"label\": \"safety vest\"},\n {\"box_2d\": [417, 456, 613, 505], \"label\": \"safety vest\"},\n {\"box_2d\": [425, 392, 586, 443], \"label\": \"safety vest\"},\n {\"box_2d\": [447, 340, 637, 392], \"label\": \"safety vest\"},\n {\"box_2d\": [372, 333, 822, 416], \"label\": \"person\"},\n {\"box_2d\": [356, 390, 784, 445], \"label\": \"person\"},\n {\"box_2d\": [345, 454, 738, 513], \"label\": \"person\"},\n {\"box_2d\": [378, 516, 809, 576], \"label\": \"person\"},\n {\"box_2d\": [400, 577, 809, 636], \"label\": \"person\"},\n {\"box_2d\": [351, 642, 820, 699], \"label\": \"person\"},\n {\"box_2d\": [307, 610, 991, 766], \"label\": \"person\"},\n {\"box_2d\": [329, 809, 893, 894], \"label\": \"person\"},\n {\"box_2d\": [358, 725, 860, 777], \"label\": \"person\"}\n]\n```", "correct": true, "input_tokens": 1220, "output_tokens": 878, "elapsed_seconds": 19.657324459054507, "metadata": {"match_method": "map", "num_predictions": 25, "num_ground_truth": 28, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8877887725830078, "attempts": 1, "retries": 0, "total_seconds": 19.6957}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 63, "image": "IMG_4931_jpg.rf.58c129944a1f2b663c55dbd43e27cf91.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [598, 249, 643, 274], \"label\": \"face\"},\n {\"box_2d\": [632, 341, 676, 364], \"label\": \"face\"},\n {\"box_2d\": [432, 281, 464, 297], \"label\": \"face\"},\n {\"box_2d\": [417, 250, 449, 267], \"label\": \"face\"},\n {\"box_2d\": [419, 376, 449, 391], \"label\": \"face\"},\n {\"box_2d\": [336, 400, 360, 412], \"label\": \"face\"},\n {\"box_2d\": [351, 429, 374, 442], \"label\": \"face\"},\n {\"box_2d\": [358, 597, 379, 608], \"label\": \"face\"},\n {\"box_2d\": [345, 646, 363, 655], \"label\": \"face\"},\n {\"box_2d\": [365, 623, 386, 634], \"label\": \"face\"},\n {\"box_2d\": [345, 614, 363, 623], \"label\": \"face\"},\n {\"box_2d\": [321, 524, 340, 534], \"label\": \"face\"},\n {\"box_2d\": [338, 696, 355, 704], \"label\": \"face\"},\n {\"box_2d\": [357, 727, 374, 735], \"label\": \"face\"},\n {\"box_2d\": [359, 758, 376, 767], \"label\": \"face\"},\n {\"box_2d\": [321, 633, 338, 642], \"label\": \"face\"},\n {\"box_2d\": [295, 608, 312, 616], \"label\": \"face\"},\n {\"box_2d\": [295, 556, 311, 565], \"label\": \"face\"},\n {\"box_2d\": [306, 492, 323, 502], \"label\": \"face\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 658, "elapsed_seconds": 256.96760979201645, "metadata": {"match_method": "map", "num_predictions": 19, "num_ground_truth": 28, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6732673048973083, "attempts": 1, "retries": 0, "total_seconds": 257.4605}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 64, "image": "tile_232_jpg.rf.d215d900b9cd862d3217f88435d7ad8a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [592, 412, 643, 517], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [630, 560, 718, 744], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [674, 785, 728, 970], \"label\": \"ship in SAR satellite image\"}\n]\n```", "correct": true, "input_tokens": 1229, "output_tokens": 126, "elapsed_seconds": 15.001892957952805, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 15.0383}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 65, "image": "IMG_20250815_164441_jpg.rf.3c12e140b11a4091c99d31ed66a86850.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [598, 38, 622, 66], \"label\": \"barcode\"},\n {\"box_2d\": [832, 41, 885, 69], \"label\": \"barcode\"},\n {\"box_2d\": [603, 229, 627, 258], \"label\": \"barcode\"},\n {\"box_2d\": [514, 209, 568, 237], \"label\": \"barcode\"},\n {\"box_2d\": [831, 214, 855, 241], \"label\": \"barcode\"},\n {\"box_2d\": [503, 323, 557, 352], \"label\": \"barcode\"},\n {\"box_2d\": [612, 372, 637, 400], \"label\": \"barcode\"},\n {\"box_2d\": [864, 396, 890, 424], \"label\": \"barcode\"},\n {\"box_2d\": [499, 486, 524, 514], \"label\": \"barcode\"},\n {\"box_2d\": [616, 519, 640, 547], \"label\": \"barcode\"},\n {\"box_2d\": [866, 525, 891, 552], \"label\": \"barcode\"},\n {\"box_2d\": [863, 653, 887, 680], \"label\": \"barcode\"},\n {\"box_2d\": [621, 666, 646, 694], \"label\": \"barcode\"},\n {\"box_2d\": [507, 629, 560, 657], \"label\": \"barcode\"},\n {\"box_2d\": [535, 838, 588, 866], \"label\": \"barcode\"},\n {\"box_2d\": [629, 838, 653, 865], \"label\": \"barcode\"},\n {\"box_2d\": [633, 979, 656, 1000], \"label\": \"barcode\"},\n {\"box_2d\": [93, 637, 148, 665], \"label\": \"barcode\"},\n {\"box_2d\": [181, 510, 235, 538], \"label\": \"barcode\"},\n {\"box_2d\": [155, 418, 181, 446], \"label\": \"barcode\"},\n {\"box_2d\": [147, 261, 203, 290], \"label\": \"barcode\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 722, "elapsed_seconds": 80.24731087498367, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 21, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 80.7364}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 66, "image": "car-part-detection_Car-damages-128_png_jpg.rf.e07bc73742c49cec70d8b7dc538a39d2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [553, 56, 773, 111], \"label\": \"front bumper\"},\n {\"box_2d\": [498, 68, 581, 102], \"label\": \"headlight\"},\n {\"box_2d\": [361, 70, 502, 319], \"label\": \"hood\"},\n {\"box_2d\": [224, 297, 417, 456], \"label\": \"windshield\"},\n {\"box_2d\": [343, 378, 419, 419], \"label\": \"mirror\"},\n {\"box_2d\": [219, 405, 412, 584], \"label\": \"front window\"},\n {\"box_2d\": [219, 315, 718, 597], \"label\": \"front door\"},\n {\"box_2d\": [215, 598, 396, 813], \"label\": \"back window\"},\n {\"box_2d\": [215, 562, 704, 812], \"label\": \"back door\"},\n {\"box_2d\": [243, 864, 368, 920], \"label\": \"back windshield\"},\n {\"box_2d\": [354, 895, 479, 932], \"label\": \"tail light\"},\n {\"box_2d\": [472, 850, 718, 950], \"label\": \"back bumper\"}\n]\n```", "correct": true, "input_tokens": 1224, "output_tokens": 427, "elapsed_seconds": 6.852810375043191, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 13, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9587457776069641, "attempts": 1, "retries": 0, "total_seconds": 6.8746}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 67, "image": "Lego_73_low_jpeg.rf.bf207a14dd8d49e9b00aae2e1a8886e1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [715, 396, 756, 496], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [457, 271, 550, 326], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [590, 428, 650, 528], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [234, 669, 319, 736], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [721, 633, 781, 731], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [707, 846, 789, 927], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [771, 894, 835, 967], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [529, 850, 622, 945], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [571, 779, 651, 850], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [494, 797, 567, 862], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [387, 809, 469, 876], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [410, 726, 485, 811], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [388, 681, 465, 773], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [199, 765, 300, 823], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [185, 813, 286, 855], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [128, 843, 236, 885], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [160, 941, 248, 1000], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [399, 42, 495, 113], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [637, 940, 725, 1000], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [37, 678, 136, 784], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [188, 241, 258, 333], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [62, 205, 132, 295], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [228, 44, 304, 145], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [706, 94, 804, 168], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [610, 294, 657, 409], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [548, 394, 624, 484], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [414, 427, 481, 535], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [529, 535, 603, 622], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [595, 588, 652, 689], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [379, 631, 476, 688], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [202, 454, 257, 556], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [106, 519, 180, 616], \"label\": \"lego 4x1 brick\"}\n]\n```", "correct": true, "input_tokens": 1244, "output_tokens": 1257, "elapsed_seconds": 25.841470457962714, "metadata": {"match_method": "map", "num_predictions": 32, "num_ground_truth": 32, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9111161231994629, "attempts": 1, "retries": 0, "total_seconds": 25.9255}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 68, "image": "IMG_6646_jpeg_jpg.rf.bb15616ff058bc9ba8f9683f61ab5fbb.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [311, 529, 370, 711], \"label\": \"green poker chip\"},\n {\"box_2d\": [336, 531, 386, 706], \"label\": \"green poker chip\"},\n {\"box_2d\": [354, 529, 403, 706], \"label\": \"green poker chip\"},\n {\"box_2d\": [370, 532, 419, 706], \"label\": \"green poker chip\"},\n {\"box_2d\": [389, 532, 437, 705], \"label\": \"green poker chip\"},\n {\"box_2d\": [402, 531, 452, 703], \"label\": \"green poker chip\"},\n {\"box_2d\": [417, 529, 469, 702], \"label\": \"green poker chip\"},\n {\"box_2d\": [434, 531, 483, 699], \"label\": \"green poker chip\"},\n {\"box_2d\": [447, 529, 498, 697], \"label\": \"green poker chip\"},\n {\"box_2d\": [461, 550, 521, 717], \"label\": \"green poker chip\"},\n {\"box_2d\": [345, 336, 410, 506], \"label\": \"green poker chip\"},\n {\"box_2d\": [384, 336, 426, 508], \"label\": \"green poker chip\"},\n {\"box_2d\": [404, 340, 444, 509], \"label\": \"green poker chip\"},\n {\"box_2d\": [410, 345, 459, 514], \"label\": \"green poker chip\"},\n {\"box_2d\": [432, 348, 476, 517], \"label\": \"green poker chip\"},\n {\"box_2d\": [447, 349, 492, 517], \"label\": \"green poker chip\"},\n {\"box_2d\": [449, 342, 511, 509], \"label\": \"green poker chip\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 624, "elapsed_seconds": 20.788854042068124, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 17, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 20.8133}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 69, "image": "41_jpg.rf.2cb4080a10f215e4bd4d6ed6d4ea3e68.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [234, 240, 546, 323], \"label\": \"blood sample tube\"},\n {\"box_2d\": [468, 179, 704, 381], \"label\": \"blood sample tube\"},\n {\"box_2d\": [548, 335, 731, 560], \"label\": \"blood sample tube\"},\n {\"box_2d\": [556, 415, 735, 642], \"label\": \"blood sample tube\"},\n {\"box_2d\": [337, 378, 603, 550], \"label\": \"blood sample tube\"},\n {\"box_2d\": [356, 475, 648, 623], \"label\": \"blood sample tube\"},\n {\"box_2d\": [231, 498, 535, 618], \"label\": \"blood sample tube\"},\n {\"box_2d\": [92, 331, 348, 512], \"label\": \"blood sample tube\"},\n {\"box_2d\": [134, 467, 198, 709], \"label\": \"blood sample tube\"},\n {\"box_2d\": [78, 385, 143, 621], \"label\": \"blood sample tube\"},\n {\"box_2d\": [25, 384, 86, 625], \"label\": \"blood sample tube\"},\n {\"box_2d\": [20, 621, 86, 865], \"label\": \"blood sample tube\"},\n {\"box_2d\": [75, 631, 139, 876], \"label\": \"blood sample tube\"},\n {\"box_2d\": [23, 867, 353, 918], \"label\": \"blood sample tube\"},\n {\"box_2d\": [173, 631, 275, 885], \"label\": \"blood sample tube\"},\n {\"box_2d\": [303, 618, 604, 746], \"label\": \"blood sample tube\"},\n {\"box_2d\": [397, 637, 682, 789], \"label\": \"blood sample tube\"},\n {\"box_2d\": [367, 720, 678, 845], \"label\": \"blood sample tube\"},\n {\"box_2d\": [345, 829, 681, 882], \"label\": \"blood sample tube\"},\n {\"box_2d\": [353, 881, 684, 926], \"label\": \"blood sample tube\"},\n {\"box_2d\": [676, 671, 735, 926], \"label\": \"blood sample tube\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 760, "elapsed_seconds": 18.989793499931693, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 21, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 19.0188}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 70, "image": "construction-safety_ppe_0710_jpg.rf.d335438ef5819cfad67cee1d9e8c6eab.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [224, 175, 297, 245], \"label\": \"safety helmet\"},\n {\"box_2d\": [206, 650, 864, 795], \"label\": \"person\"},\n {\"box_2d\": [298, 259, 513, 345], \"label\": \"safety vest\"},\n {\"box_2d\": [278, 571, 336, 625], \"label\": \"safety helmet\"},\n {\"box_2d\": [171, 44, 892, 184], \"label\": \"person\"},\n {\"box_2d\": [210, 700, 267, 755], \"label\": \"safety helmet\"},\n {\"box_2d\": [219, 349, 276, 405], \"label\": \"safety helmet\"},\n {\"box_2d\": [283, 74, 518, 182], \"label\": \"safety vest\"},\n {\"box_2d\": [329, 446, 540, 548], \"label\": \"safety vest\"},\n {\"box_2d\": [318, 667, 526, 785], \"label\": \"safety vest\"},\n {\"box_2d\": [171, 102, 232, 165], \"label\": \"safety helmet\"},\n {\"box_2d\": [221, 785, 296, 859], \"label\": \"safety helmet\"},\n {\"box_2d\": [224, 150, 895, 281], \"label\": \"person\"},\n {\"box_2d\": [278, 544, 890, 672], \"label\": \"person\"},\n {\"box_2d\": [329, 323, 561, 427], \"label\": \"safety vest\"},\n {\"box_2d\": [222, 462, 281, 518], \"label\": \"safety helmet\"},\n {\"box_2d\": [333, 759, 572, 898], \"label\": \"safety vest\"},\n {\"box_2d\": [217, 738, 965, 930], \"label\": \"person\"},\n {\"box_2d\": [191, 279, 244, 330], \"label\": \"safety helmet\"},\n {\"box_2d\": [189, 247, 836, 355], \"label\": \"person\"},\n {\"box_2d\": [222, 434, 840, 568], \"label\": \"person\"},\n {\"box_2d\": [215, 312, 864, 444], \"label\": \"person\"},\n {\"box_2d\": [346, 167, 588, 273], \"label\": \"safety vest\"},\n {\"box_2d\": [390, 554, 623, 650], \"label\": \"safety vest\"}\n]\n```", "correct": true, "input_tokens": 1222, "output_tokens": 842, "elapsed_seconds": 54.10644975001924, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 24, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 54.1661}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 71, "image": "4103456_ContLeftUpper_f_jpg.rf.6635963edc568c350879157eaf0b4b06.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [535, 19, 577, 46], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [529, 98, 566, 129], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [533, 180, 581, 206], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [548, 259, 583, 286], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [554, 340, 582, 366], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [547, 139, 567, 162], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [468, 178, 504, 204], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [443, 19, 491, 43], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [391, 16, 417, 40], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [387, 139, 410, 163], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [365, 178, 416, 202], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [366, 256, 396, 280], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [425, 257, 462, 281], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [364, 336, 393, 361], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [416, 339, 460, 363], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [349, 417, 386, 442], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [440, 419, 470, 445], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [354, 499, 396, 524], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [401, 740, 429, 761], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [328, 701, 355, 725], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [414, 701, 443, 725], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [278, 578, 300, 603], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [341, 619, 371, 642], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [420, 618, 449, 641], \"label\": \"shipping container wall dent\"}\n]\n```", "correct": false, "input_tokens": 1255, "output_tokens": 893, "elapsed_seconds": 37.12519483291544, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 20, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6243447661399841, "attempts": 1, "retries": 0, "total_seconds": 37.2452}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 72, "image": "V000087_0_0-Drive-Shaft_jpeg_jpg.rf.148a90e2fb96f98fb22ea082d09655d1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [799, 95, 968, 954], \"label\": \"technical drawing table\"},\n {\"box_2d\": [169, 348, 215, 444], \"label\": \"surface roughness symbol\"},\n {\"box_2d\": [163, 434, 223, 502], \"label\": \"dimension annotation\"},\n {\"box_2d\": [169, 494, 240, 566], \"label\": \"dimension annotation\"},\n {\"box_2d\": [186, 540, 243, 636], \"label\": \"dimension annotation\"},\n {\"box_2d\": [264, 576, 285, 667], \"label\": \"dimension annotation\"},\n {\"box_2d\": [243, 491, 290, 554], \"label\": \"dimension annotation\"},\n {\"box_2d\": [264, 434, 319, 579], \"label\": \"dimension annotation\"},\n {\"box_2d\": [267, 312, 320, 434], \"label\": \"dimension annotation\"},\n {\"box_2d\": [146, 826, 209, 905], \"label\": \"dimension annotation\"},\n {\"box_2d\": [157, 672, 267, 819], \"label\": \"dimension annotation\"},\n {\"box_2d\": [427, 434, 484, 671], \"label\": \"dimension annotation\"},\n {\"box_2d\": [437, 576, 474, 626], \"label\": \"dimension annotation\"},\n {\"box_2d\": [482, 577, 517, 624], \"label\": \"dimension annotation\"},\n {\"box_2d\": [482, 217, 540, 579], \"label\": \"dimension annotation\"}\n]\n```", "correct": false, "input_tokens": 1237, "output_tokens": 538, "elapsed_seconds": 8.251654457999393, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6699669361114502, "attempts": 1, "retries": 0, "total_seconds": 8.2657}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 73, "image": "1_000290_png.rf.2ed72f4c5f09c4e50e5326dbdb424cd7.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [751, 200, 779, 232], \"label\": \"tire spike normal\"},\n {\"box_2d\": [823, 319, 850, 355], \"label\": \"tire spike normal\"},\n {\"box_2d\": [654, 166, 680, 200], \"label\": \"tire spike normal\"},\n {\"box_2d\": [529, 240, 560, 278], \"label\": \"tire spike normal\"},\n {\"box_2d\": [454, 198, 474, 229], \"label\": \"tire spike normal\"},\n {\"box_2d\": [447, 391, 464, 428], \"label\": \"tire spike normal\"},\n {\"box_2d\": [381, 360, 394, 398], \"label\": \"tire spike normal\"},\n {\"box_2d\": [300, 214, 317, 244], \"label\": \"tire spike normal\"},\n {\"box_2d\": [295, 494, 310, 526], \"label\": \"tire spike normal\"},\n {\"box_2d\": [205, 429, 217, 456], \"label\": \"tire spike normal\"},\n {\"box_2d\": [217, 272, 230, 300], \"label\": \"tire spike normal\"},\n {\"box_2d\": [113, 256, 126, 286], \"label\": \"tire spike normal\"},\n {\"box_2d\": [134, 352, 146, 378], \"label\": \"tire spike normal\"},\n {\"box_2d\": [80, 562, 88, 591], \"label\": \"tire spike normal\"},\n {\"box_2d\": [94, 769, 108, 796], \"label\": \"tire spike normal\"},\n {\"box_2d\": [132, 745, 147, 774], \"label\": \"tire spike normal\"},\n {\"box_2d\": [158, 646, 171, 676], \"label\": \"tire spike normal\"},\n {\"box_2d\": [235, 562, 250, 595], \"label\": \"tire spike normal\"},\n {\"box_2d\": [248, 720, 265, 754], \"label\": \"tire spike normal\"},\n {\"box_2d\": [338, 779, 357, 811], \"label\": \"tire spike normal\"},\n {\"box_2d\": [423, 619, 441, 654], \"label\": \"tire spike normal\"},\n {\"box_2d\": [493, 588, 514, 622], \"label\": \"tire spike normal\"},\n {\"box_2d\": [498, 785, 520, 821], \"label\": \"tire spike normal\"},\n {\"box_2d\": [583, 736, 610, 772], \"label\": \"tire spike normal\"},\n {\"box_2d\": [694, 565, 712, 599], \"label\": \"tire spike normal\"},\n {\"box_2d\": [707, 812, 725, 845], \"label\": \"tire spike normal\"},\n {\"box_2d\": [812, 778, 836, 815], \"label\": \"tire spike normal\"},\n {\"box_2d\": [641, 415, 661, 446], \"label\": \"tire spike absent\"},\n {\"box_2d\": [878, 664, 900, 699], \"label\": \"tire spike normal\"},\n {\"box_2d\": [887, 488, 916, 521], \"label\": \"tire spike normal\"}\n]\n```", "correct": false, "input_tokens": 1215, "output_tokens": 1089, "elapsed_seconds": 13.995786958024837, "metadata": {"match_method": "map", "num_predictions": 30, "num_ground_truth": 35, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.17897415161132812, "attempts": 1, "retries": 0, "total_seconds": 14.0547}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 74, "image": "GP010212_JPG_jpg.rf.6a034cdac286be2f0a162b6bfc04e1c0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [278, 506, 369, 681], \"label\": \"carrot\"},\n {\"box_2d\": [322, 486, 391, 645], \"label\": \"carrot\"},\n {\"box_2d\": [298, 673, 453, 698], \"label\": \"carrot\"},\n {\"box_2d\": [380, 523, 444, 688], \"label\": \"carrot\"},\n {\"box_2d\": [341, 431, 412, 586], \"label\": \"carrot\"},\n {\"box_2d\": [255, 448, 311, 608], \"label\": \"carrot\"},\n {\"box_2d\": [231, 498, 272, 720], \"label\": \"carrot\"},\n {\"box_2d\": [269, 234, 381, 439], \"label\": \"carrot\"},\n {\"box_2d\": [256, 200, 362, 386], \"label\": \"carrot\"},\n {\"box_2d\": [364, 250, 408, 488], \"label\": \"carrot\"},\n {\"box_2d\": [397, 327, 434, 503], \"label\": \"carrot\"},\n {\"box_2d\": [427, 369, 455, 512], \"label\": \"carrot\"},\n {\"box_2d\": [453, 439, 488, 650], \"label\": \"carrot\"},\n {\"box_2d\": [458, 405, 522, 566], \"label\": \"carrot\"},\n {\"box_2d\": [427, 286, 519, 495], \"label\": \"carrot\"},\n {\"box_2d\": [472, 286, 527, 455], \"label\": \"carrot\"},\n {\"box_2d\": [523, 427, 553, 591], \"label\": \"carrot\"},\n {\"box_2d\": [533, 333, 588, 584], \"label\": \"carrot\"},\n {\"box_2d\": [488, 616, 567, 806], \"label\": \"carrot\"},\n {\"box_2d\": [573, 523, 609, 722], \"label\": \"carrot\"},\n {\"box_2d\": [608, 562, 642, 722], \"label\": \"carrot\"},\n {\"box_2d\": [630, 525, 686, 767], \"label\": \"carrot\"},\n {\"box_2d\": [534, 300, 659, 489], \"label\": \"carrot\"},\n {\"box_2d\": [628, 206, 669, 428], \"label\": \"carrot\"},\n {\"box_2d\": [480, 209, 623, 353], \"label\": \"carrot\"},\n {\"box_2d\": [498, 108, 634, 236], \"label\": \"carrot\"},\n {\"box_2d\": [375, 183, 509, 289], \"label\": \"carrot\"},\n {\"box_2d\": [355, 95, 492, 258], \"label\": \"carrot\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 963, "elapsed_seconds": 20.812529791961424, "metadata": {"match_method": "map", "num_predictions": 28, "num_ground_truth": 28, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 20.8382}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 75, "image": "egg-detection_image25_jpg.rf.5c4d3f7ce6887203cc33b5f86e849ef9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [74, 752, 144, 797], \"label\": \"egg\"},\n {\"box_2d\": [113, 715, 185, 764], \"label\": \"egg\"},\n {\"box_2d\": [89, 797, 159, 839], \"label\": \"egg\"},\n {\"box_2d\": [243, 395, 329, 453], \"label\": \"egg\"},\n {\"box_2d\": [264, 689, 349, 750], \"label\": \"egg\"},\n {\"box_2d\": [324, 661, 402, 712], \"label\": \"egg\"},\n {\"box_2d\": [373, 582, 466, 632], \"label\": \"egg\"},\n {\"box_2d\": [288, 811, 362, 853], \"label\": \"egg\"},\n {\"box_2d\": [400, 809, 472, 853], \"label\": \"egg\"},\n {\"box_2d\": [495, 444, 579, 504], \"label\": \"egg\"},\n {\"box_2d\": [565, 521, 646, 579], \"label\": \"egg\"},\n {\"box_2d\": [617, 485, 719, 533], \"label\": \"egg\"},\n {\"box_2d\": [685, 430, 760, 488], \"label\": \"egg\"},\n {\"box_2d\": [854, 600, 932, 654], \"label\": \"egg\"},\n {\"box_2d\": [847, 677, 920, 730], \"label\": \"egg\"},\n {\"box_2d\": [890, 710, 962, 755], \"label\": \"egg\"},\n {\"box_2d\": [836, 745, 904, 789], \"label\": \"egg\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 588, "elapsed_seconds": 30.679309875005856, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 17, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 30.8075}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 76, "image": "94D76C4A-9650-486B-8278-406A692F552F_jpg.rf.441749660b1bde146bfdbfa517d4e058.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [732, 206, 777, 246], \"label\": \"pill\"},\n {\"box_2d\": [615, 344, 659, 389], \"label\": \"pill\"},\n {\"box_2d\": [526, 303, 570, 347], \"label\": \"pill\"},\n {\"box_2d\": [469, 281, 513, 326], \"label\": \"pill\"},\n {\"box_2d\": [433, 238, 476, 281], \"label\": \"pill\"},\n {\"box_2d\": [427, 287, 469, 329], \"label\": \"pill\"},\n {\"box_2d\": [468, 331, 511, 374], \"label\": \"pill\"},\n {\"box_2d\": [387, 301, 430, 344], \"label\": \"pill\"},\n {\"box_2d\": [345, 275, 389, 318], \"label\": \"pill\"},\n {\"box_2d\": [364, 340, 407, 382], \"label\": \"pill\"},\n {\"box_2d\": [405, 360, 449, 404], \"label\": \"pill\"},\n {\"box_2d\": [513, 404, 557, 448], \"label\": \"pill\"},\n {\"box_2d\": [500, 486, 543, 530], \"label\": \"pill\"},\n {\"box_2d\": [603, 661, 648, 705], \"label\": \"pill\"},\n {\"box_2d\": [497, 634, 541, 678], \"label\": \"pill\"},\n {\"box_2d\": [485, 576, 530, 619], \"label\": \"pill\"},\n {\"box_2d\": [454, 677, 499, 721], \"label\": \"pill\"},\n {\"box_2d\": [452, 518, 495, 561], \"label\": \"pill\"},\n {\"box_2d\": [445, 587, 488, 631], \"label\": \"pill\"},\n {\"box_2d\": [424, 550, 467, 593], \"label\": \"pill\"},\n {\"box_2d\": [409, 510, 452, 554], \"label\": \"pill\"},\n {\"box_2d\": [416, 426, 460, 470], \"label\": \"pill\"},\n {\"box_2d\": [385, 457, 428, 499], \"label\": \"pill\"},\n {\"box_2d\": [322, 434, 366, 478], \"label\": \"pill\"},\n {\"box_2d\": [309, 475, 353, 518], \"label\": \"pill\"},\n {\"box_2d\": [362, 499, 405, 542], \"label\": \"pill\"},\n {\"box_2d\": [322, 519, 365, 562], \"label\": \"pill\"},\n {\"box_2d\": [361, 543, 404, 585], \"label\": \"pill\"},\n {\"box_2d\": [386, 580, 430, 623], \"label\": \"pill\"},\n {\"box_2d\": [387, 625, 431, 670], \"label\": \"pill\"},\n {\"box_2d\": [408, 668, 453, 713], \"label\": \"pill\"},\n {\"box_2d\": [362, 709, 406, 754], \"label\": \"pill\"},\n {\"box_2d\": [343, 640, 388, 684], \"label\": \"pill\"},\n {\"box_2d\": [318, 591, 362, 636], \"label\": \"pill\"},\n {\"box_2d\": [299, 661, 344, 706], \"label\": \"pill\"},\n {\"box_2d\": [269, 606, 314, 650], \"label\": \"pill\"},\n {\"box_2d\": [264, 563, 308, 606], \"label\": \"pill\"},\n {\"box_2d\": [268, 462, 311, 505], \"label\": \"pill\"},\n {\"box_2d\": [235, 437, 278, 479], \"label\": \"pill\"},\n {\"box_2d\": [196, 359, 240, 401], \"label\": \"pill\"},\n {\"box_2d\": [190, 414, 232, 456], \"label\": \"pill\"},\n {\"box_2d\": [182, 491, 225, 534], \"label\": \"pill\"},\n {\"box_2d\": [164, 578, 207, 621], \"label\": \"pill\"},\n {\"box_2d\": [166, 623, 210, 667], \"label\": \"pill\"},\n {\"box_2d\": [199, 661, 243, 706], \"label\": \"pill\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 1542, "elapsed_seconds": 52.459015708067454, "metadata": {"match_method": "map", "num_predictions": 45, "num_ground_truth": 45, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 52.9248}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 77, "image": "IMG_3989_JPG.rf.c4cc3b74f996b28db8e9373b455775a3.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [200, 275, 222, 288], \"label\": \"face\"},\n {\"box_2d\": [306, 332, 326, 344], \"label\": \"face\"},\n {\"box_2d\": [206, 309, 224, 321], \"label\": \"face\"},\n {\"box_2d\": [401, 597, 421, 611], \"label\": \"face\"},\n {\"box_2d\": [213, 336, 232, 346], \"label\": \"face\"},\n {\"box_2d\": [199, 246, 221, 259], \"label\": \"face\"},\n {\"box_2d\": [307, 381, 330, 394], \"label\": \"face\"},\n {\"box_2d\": [417, 412, 449, 430], \"label\": \"face\"},\n {\"box_2d\": [197, 232, 217, 242], \"label\": \"face\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 318, "elapsed_seconds": 29.25650862499606, "metadata": {"match_method": "map", "num_predictions": 9, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6083608269691467, "attempts": 1, "retries": 0, "total_seconds": 29.723}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 78, "image": "basketball-player-detection_boston-celtics-new-york-knicks-game-4-q1-01-22-01-16-0112_png.rf.813de841eef35ee5de0aa209e2d3e51f.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [562, 750, 588, 767], \"label\": \"jersey number\"},\n {\"box_2d\": [678, 279, 706, 290], \"label\": \"jersey number\"},\n {\"box_2d\": [291, 353, 491, 412], \"label\": \"player\"},\n {\"box_2d\": [278, 591, 463, 634], \"label\": \"player\"},\n {\"box_2d\": [556, 429, 582, 444], \"label\": \"jersey number\"},\n {\"box_2d\": [517, 401, 772, 452], \"label\": \"player\"},\n {\"box_2d\": [269, 767, 463, 804], \"label\": \"referee\"},\n {\"box_2d\": [273, 628, 292, 637], \"label\": \"jersey number\"},\n {\"box_2d\": [324, 223, 584, 319], \"label\": \"player\"},\n {\"box_2d\": [607, 250, 880, 314], \"label\": \"player\"},\n {\"box_2d\": [741, 596, 763, 608], \"label\": \"jersey number\"},\n {\"box_2d\": [244, 0, 436, 46], \"label\": \"referee\"},\n {\"box_2d\": [686, 576, 874, 622], \"label\": \"referee\"},\n {\"box_2d\": [306, 179, 598, 226], \"label\": \"player taking jump shot\"},\n {\"box_2d\": [624, 821, 822, 871], \"label\": \"player\"},\n {\"box_2d\": [224, 713, 286, 758], \"label\": \"basket rim\"},\n {\"box_2d\": [219, 225, 252, 245], \"label\": \"basketball\"},\n {\"box_2d\": [229, 304, 414, 360], \"label\": \"player\"},\n {\"box_2d\": [336, 379, 356, 389], \"label\": \"jersey number\"},\n {\"box_2d\": [223, 611, 376, 646], \"label\": \"player\"},\n {\"box_2d\": [397, 263, 416, 278], \"label\": \"jersey number\"},\n {\"box_2d\": [692, 840, 721, 853], \"label\": \"jersey number\"},\n {\"box_2d\": [306, 179, 598, 226], \"label\": \"player\"},\n {\"box_2d\": [512, 720, 728, 786], \"label\": \"player\"}\n]\n```", "correct": false, "input_tokens": 1251, "output_tokens": 840, "elapsed_seconds": 113.35311358305626, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 25, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7401815056800842, "attempts": 1, "retries": 0, "total_seconds": 113.4836}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 79, "image": "Screenshot-2024-05-16-150258_png.rf.730fbfcbd2cdbb24d8003d2a2cd88782.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [59, 773, 87, 799], \"label\": \"bullet hole\"},\n {\"box_2d\": [27, 892, 53, 913], \"label\": \"bullet hole\"},\n {\"box_2d\": [108, 898, 134, 922], \"label\": \"bullet hole\"},\n {\"box_2d\": [140, 816, 174, 847], \"label\": \"bullet hole\"},\n {\"box_2d\": [161, 686, 191, 718], \"label\": \"bullet hole\"},\n {\"box_2d\": [235, 742, 267, 773], \"label\": \"bullet hole\"},\n {\"box_2d\": [235, 907, 265, 941], \"label\": \"bullet hole\"},\n {\"box_2d\": [328, 799, 360, 835], \"label\": \"bullet hole\"},\n {\"box_2d\": [400, 725, 428, 761], \"label\": \"bullet hole\"},\n {\"box_2d\": [436, 619, 466, 653], \"label\": \"bullet hole\"},\n {\"box_2d\": [455, 818, 483, 852], \"label\": \"bullet hole\"},\n {\"box_2d\": [485, 697, 517, 731], \"label\": \"bullet hole\"},\n {\"box_2d\": [530, 790, 557, 826], \"label\": \"bullet hole\"},\n {\"box_2d\": [661, 686, 691, 718], \"label\": \"bullet hole\"},\n {\"box_2d\": [720, 894, 752, 928], \"label\": \"bullet hole\"},\n {\"box_2d\": [831, 930, 862, 962], \"label\": \"bullet hole\"},\n {\"box_2d\": [818, 847, 848, 879], \"label\": \"bullet hole\"},\n {\"box_2d\": [920, 919, 951, 953], \"label\": \"bullet hole\"},\n {\"box_2d\": [902, 610, 932, 642], \"label\": \"bullet hole\"},\n {\"box_2d\": [879, 356, 905, 388], \"label\": \"bullet hole\"},\n {\"box_2d\": [699, 417, 731, 449], \"label\": \"bullet hole\"},\n {\"box_2d\": [441, 223, 468, 254], \"label\": \"bullet hole\"},\n {\"box_2d\": [335, 0, 364, 25], \"label\": \"bullet hole\"},\n {\"box_2d\": [254, 483, 282, 513], \"label\": \"bullet hole\"},\n {\"box_2d\": [186, 347, 212, 377], \"label\": \"bullet hole\"},\n {\"box_2d\": [170, 193, 201, 225], \"label\": \"bullet hole\"},\n {\"box_2d\": [112, 102, 144, 133], \"label\": \"bullet hole\"},\n {\"box_2d\": [64, 15, 95, 44], \"label\": \"bullet hole\"},\n {\"box_2d\": [0, 610, 25, 640], \"label\": \"bullet hole\"},\n {\"box_2d\": [350, 977, 381, 1000], \"label\": \"bullet hole\"}\n]\n```", "correct": false, "input_tokens": 1226, "output_tokens": 1049, "elapsed_seconds": 45.52277104102541, "metadata": {"match_method": "map", "num_predictions": 30, "num_ground_truth": 30, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3297579884529114, "attempts": 1, "retries": 0, "total_seconds": 45.5374}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 80, "image": "AF6880-9_2025_NCPT-128_JPG_jpg.rf.58feab8edece278692e9ee124939da54.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [219, 197, 297, 224], \"label\": \"potato\"},\n {\"box_2d\": [28, 250, 88, 269], \"label\": \"potato\"},\n {\"box_2d\": [265, 242, 351, 266], \"label\": \"potato\"},\n {\"box_2d\": [437, 194, 505, 223], \"label\": \"potato\"},\n {\"box_2d\": [505, 195, 574, 225], \"label\": \"potato\"},\n {\"box_2d\": [572, 189, 642, 224], \"label\": \"potato\"},\n {\"box_2d\": [641, 184, 732, 224], \"label\": \"potato\"},\n {\"box_2d\": [729, 190, 845, 234], \"label\": \"potato\"},\n {\"box_2d\": [416, 232, 517, 271], \"label\": \"potato\"},\n {\"box_2d\": [572, 228, 653, 268], \"label\": \"potato\"},\n {\"box_2d\": [303, 279, 381, 310], \"label\": \"potato\"},\n {\"box_2d\": [151, 285, 241, 317], \"label\": \"potato\"},\n {\"box_2d\": [380, 274, 469, 316], \"label\": \"potato\"},\n {\"box_2d\": [495, 272, 586, 311], \"label\": \"potato\"},\n {\"box_2d\": [584, 281, 639, 308], \"label\": \"potato\"},\n {\"box_2d\": [638, 273, 725, 311], \"label\": \"potato\"},\n {\"box_2d\": [852, 271, 970, 318], \"label\": \"potato\"},\n {\"box_2d\": [905, 224, 1000, 266], \"label\": \"potato\"},\n {\"box_2d\": [909, 322, 987, 352], \"label\": \"potato\"},\n {\"box_2d\": [791, 320, 905, 364], \"label\": \"potato\"},\n {\"box_2d\": [713, 316, 795, 352], \"label\": \"potato\"},\n {\"box_2d\": [602, 316, 721, 364], \"label\": \"potato\"},\n {\"box_2d\": [502, 315, 597, 360], \"label\": \"potato\"},\n {\"box_2d\": [332, 309, 456, 359], \"label\": \"potato\"},\n {\"box_2d\": [240, 327, 336, 361], \"label\": \"potato\"},\n {\"box_2d\": [168, 325, 242, 357], \"label\": \"potato\"},\n {\"box_2d\": [92, 324, 170, 357], \"label\": \"potato\"},\n {\"box_2d\": [5, 322, 94, 360], \"label\": \"potato\"},\n {\"box_2d\": [27, 377, 83, 401], \"label\": \"potato\"},\n {\"box_2d\": [80, 368, 171, 406], \"label\": \"potato\"},\n {\"box_2d\": [170, 357, 294, 406], \"label\": \"potato\"},\n {\"box_2d\": [317, 359, 421, 406], \"label\": \"potato\"},\n {\"box_2d\": [419, 351, 527, 404], \"label\": \"potato\"},\n {\"box_2d\": [525, 366, 613, 404], \"label\": \"potato\"},\n {\"box_2d\": [727, 364, 841, 400], \"label\": \"potato\"},\n {\"box_2d\": [836, 368, 900, 391], \"label\": \"potato\"},\n {\"box_2d\": [839, 410, 929, 441], \"label\": \"potato\"},\n {\"box_2d\": [779, 410, 843, 437], \"label\": \"potato\"},\n {\"box_2d\": [664, 404, 783, 449], \"label\": \"potato\"},\n {\"box_2d\": [823, 446, 924, 486], \"label\": \"potato\"},\n {\"box_2d\": [932, 451, 1000, 485], \"label\": \"potato\"},\n {\"box_2d\": [842, 485, 952, 532], \"label\": \"potato\"},\n {\"box_2d\": [685, 448, 790, 490], \"label\": \"potato\"},\n {\"box_2d\": [579, 451, 688, 494], \"label\": \"potato\"},\n {\"box_2d\": [508, 452, 581, 487], \"label\": \"potato\"},\n {\"box_2d\": [442, 407, 553, 452], \"label\": \"potato\"},\n {\"box_2d\": [406, 447, 509, 491], \"label\": \"potato\"},\n {\"box_2d\": [314, 409, 405, 445], \"label\": \"potato\"},\n {\"box_2d\": [278, 421, 316, 439], \"label\": \"potato\"},\n {\"box_2d\": [151, 407, 263, 447], \"label\": \"potato\"},\n {\"box_2d\": [32, 408, 152, 457], \"label\": \"potato\"},\n {\"box_2d\": [9, 424, 37, 443], \"label\": \"potato\"},\n {\"box_2d\": [71, 466, 113, 486], \"label\": \"potato\"},\n {\"box_2d\": [109, 455, 200, 490], \"label\": \"potato\"},\n {\"box_2d\": [265, 450, 364, 492], \"label\": \"potato\"},\n {\"box_2d\": [256, 503, 345, 539], \"label\": \"potato\"},\n {\"box_2d\": [363, 495, 468, 535], \"label\": \"potato\"},\n {\"box_2d\": [468, 499, 555, 533], \"label\": \"potato\"},\n {\"box_2d\": [558, 496, 642, 528], \"label\": \"potato\"},\n {\"box_2d\": [495, 532, 615, 576], \"label\": \"potato\"},\n {\"box_2d\": [686, 539, 796, 583], \"label\": \"potato\"},\n {\"box_2d\": [886, 584, 970, 612], \"label\": \"potato\"},\n {\"box_2d\": [391, 540, 493, 579], \"label\": \"potato\"},\n {\"box_2d\": [288, 545, 375, 578], \"label\": \"potato\"},\n {\"box_2d\": [213, 548, 290, 578], \"label\": \"potato\"},\n {\"box_2d\": [122, 500, 217, 541], \"label\": \"potato\"},\n {\"box_2d\": [38, 503, 124, 539], \"label\": \"potato\"},\n {\"box_2d\": [0, 539, 113, 591], \"label\": \"potato\"},\n {\"box_2d\": [110, 542, 220, 591], \"label\": \"potato\"},\n {\"box_2d\": [3, 590, 111, 634], \"label\": \"potato\"},\n {\"box_2d\": [122, 589, 222, 631], \"label\": \"potato\"},\n {\"box_2d\": [38, 631, 138, 668], \"label\": \"potato\"},\n {\"box_2d\": [399, 588, 504, 624], \"label\": \"potato\"},\n {\"box_2d\": [491, 625, 600, 661], \"label\": \"potato\"},\n {\"box_2d\": [607, 630, 715, 665], \"label\": \"potato\"},\n {\"box_2d\": [773, 675, 838, 699], \"label\": \"potato\"},\n {\"box_2d\": [511, 678, 572, 703], \"label\": \"potato\"},\n {\"box_2d\": [478, 707, 581, 748], \"label\": \"potato\"},\n {\"box_2d\": [215, 670, 333, 717], \"label\": \"potato\"},\n {\"box_2d\": [209, 720, 304, 757], \"label\": \"potato\"},\n {\"box_2d\": [94, 722, 159, 750], \"label\": \"potato\"},\n {\"box_2d\": [115, 761, 237, 812], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 2781, "elapsed_seconds": 130.1939692919841, "metadata": {"match_method": "map", "num_predictions": 82, "num_ground_truth": 82, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 130.8972}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 81, "image": "GP010253_JPG_jpg.rf.617173565602dbb2684e6af5ddab9032.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [727, 697, 888, 869], \"label\": \"carrot\"},\n {\"box_2d\": [545, 686, 811, 756], \"label\": \"carrot\"},\n {\"box_2d\": [633, 625, 839, 717], \"label\": \"carrot\"},\n {\"box_2d\": [561, 612, 811, 653], \"label\": \"carrot\"},\n {\"box_2d\": [455, 541, 738, 628], \"label\": \"carrot\"},\n {\"box_2d\": [566, 520, 789, 573], \"label\": \"carrot\"},\n {\"box_2d\": [520, 439, 766, 495], \"label\": \"carrot\"},\n {\"box_2d\": [483, 425, 667, 528], \"label\": \"carrot\"},\n {\"box_2d\": [483, 350, 558, 561], \"label\": \"carrot\"},\n {\"box_2d\": [447, 305, 639, 370], \"label\": \"carrot\"},\n {\"box_2d\": [412, 725, 645, 800], \"label\": \"carrot\"},\n {\"box_2d\": [275, 381, 469, 573], \"label\": \"carrot\"},\n {\"box_2d\": [306, 480, 462, 783], \"label\": \"carrot\"},\n {\"box_2d\": [283, 505, 408, 773], \"label\": \"carrot\"},\n {\"box_2d\": [309, 606, 441, 802], \"label\": \"carrot\"},\n {\"box_2d\": [194, 725, 294, 862], \"label\": \"carrot\"},\n {\"box_2d\": [177, 355, 359, 495], \"label\": \"carrot\"},\n {\"box_2d\": [188, 392, 330, 514], \"label\": \"carrot\"},\n {\"box_2d\": [184, 416, 309, 711], \"label\": \"carrot\"},\n {\"box_2d\": [158, 398, 270, 695], \"label\": \"carrot\"},\n {\"box_2d\": [141, 559, 206, 858], \"label\": \"carrot\"},\n {\"box_2d\": [50, 541, 184, 872], \"label\": \"carrot\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 759, "elapsed_seconds": 39.979487291071564, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 40.008}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 82, "image": "1704195139272_jpg.rf.6a6621507dbbf3a3fbb417d17569c709.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [83, 661, 127, 709], \"label\": \"lentil grain\"},\n {\"box_2d\": [219, 570, 263, 617], \"label\": \"lentil grain\"},\n {\"box_2d\": [216, 344, 256, 385], \"label\": \"lentil grain\"},\n {\"box_2d\": [393, 378, 434, 421], \"label\": \"lentil grain\"},\n {\"box_2d\": [410, 563, 449, 608], \"label\": \"lentil grain\"},\n {\"box_2d\": [408, 619, 445, 662], \"label\": \"lentil grain\"},\n {\"box_2d\": [542, 423, 580, 463], \"label\": \"lentil grain\"},\n {\"box_2d\": [672, 612, 712, 656], \"label\": \"lentil grain\"},\n {\"box_2d\": [739, 389, 775, 429], \"label\": \"lentil grain\"},\n {\"box_2d\": [744, 730, 786, 780], \"label\": \"lentil grain\"},\n {\"box_2d\": [900, 403, 941, 447], \"label\": \"lentil grain\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 407, "elapsed_seconds": 6.119962165947072, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 6.1356}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 83, "image": "preannot1_326_png.rf.9e036dcc9355b37dec6ff1b3aff71d0b.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [598, 549, 613, 571], \"label\": \"tire spike normal\"},\n {\"box_2d\": [425, 434, 442, 458], \"label\": \"tire spike normal\"},\n {\"box_2d\": [612, 642, 628, 664], \"label\": \"tire spike normal\"},\n {\"box_2d\": [661, 675, 678, 697], \"label\": \"tire spike normal\"},\n {\"box_2d\": [725, 647, 742, 670], \"label\": \"tire spike normal\"},\n {\"box_2d\": [774, 673, 791, 696], \"label\": \"tire spike normal\"},\n {\"box_2d\": [833, 628, 847, 650], \"label\": \"tire spike normal\"},\n {\"box_2d\": [708, 424, 725, 449], \"label\": \"tire spike normal\"},\n {\"box_2d\": [737, 366, 753, 389], \"label\": \"tire spike normal\"},\n {\"box_2d\": [775, 315, 791, 338], \"label\": \"tire spike normal\"},\n {\"box_2d\": [610, 329, 624, 349], \"label\": \"tire spike normal\"},\n {\"box_2d\": [557, 365, 574, 386], \"label\": \"tire spike normal\"},\n {\"box_2d\": [491, 324, 508, 347], \"label\": \"tire spike normal\"},\n {\"box_2d\": [438, 329, 454, 350], \"label\": \"tire spike normal\"},\n {\"box_2d\": [329, 355, 346, 378], \"label\": \"tire spike normal\"},\n {\"box_2d\": [273, 316, 287, 337], \"label\": \"tire spike normal\"},\n {\"box_2d\": [228, 361, 243, 383], \"label\": \"tire spike normal\"},\n {\"box_2d\": [213, 436, 227, 457], \"label\": \"tire spike normal\"},\n {\"box_2d\": [167, 540, 182, 560], \"label\": \"tire spike normal\"},\n {\"box_2d\": [142, 325, 155, 345], \"label\": \"tire spike normal\"},\n {\"box_2d\": [107, 356, 118, 375], \"label\": \"tire spike normal\"},\n {\"box_2d\": [67, 620, 77, 636], \"label\": \"tire spike normal\"},\n {\"box_2d\": [184, 616, 198, 636], \"label\": \"tire spike normal\"},\n {\"box_2d\": [224, 666, 240, 687], \"label\": \"tire spike normal\"},\n {\"box_2d\": [280, 617, 294, 638], \"label\": \"tire spike normal\"},\n {\"box_2d\": [324, 660, 338, 678], \"label\": \"tire spike normal\"},\n {\"box_2d\": [387, 633, 403, 657], \"label\": \"tire spike normal\"},\n {\"box_2d\": [506, 624, 520, 643], \"label\": \"tire spike normal\"},\n {\"box_2d\": [862, 449, 875, 470], \"label\": \"tire spike normal\"},\n {\"box_2d\": [875, 381, 886, 400], \"label\": \"tire spike normal\"}\n]\n```", "correct": false, "input_tokens": 1202, "output_tokens": 1090, "elapsed_seconds": 27.144434040994383, "metadata": {"match_method": "map", "num_predictions": 30, "num_ground_truth": 42, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7128713130950928, "attempts": 1, "retries": 0, "total_seconds": 27.2706}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 84, "image": "fall-detection_cameraOne-blue-before_mp4-10_jpg.rf.e26a811f1502cc342db7badfe48642d4.jpg", "expected": "", "predicted": "```json\n[{\"box_2d\": [579, 546, 725, 728], \"label\": \"fallen person\"}]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 42, "elapsed_seconds": 33.68018825002946, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 33.697}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 85, "image": "IMG_3898_JPG.rf.7efec82c7f803d0db60f9543524df2d2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [751, 446, 902, 631], \"label\": \"5 poker chip\"},\n {\"box_2d\": [380, 456, 478, 600], \"label\": \"5 poker chip\"},\n {\"box_2d\": [680, 598, 820, 777], \"label\": \"10 poker chip\"},\n {\"box_2d\": [639, 360, 773, 534], \"label\": \"10 poker chip\"},\n {\"box_2d\": [363, 315, 458, 459], \"label\": \"10 poker chip\"},\n {\"box_2d\": [486, 237, 595, 394], \"label\": \"20 poker chip\"},\n {\"box_2d\": [551, 474, 672, 637], \"label\": \"50 poker chip\"},\n {\"box_2d\": [466, 393, 573, 545], \"label\": \"50 poker chip\"},\n {\"box_2d\": [413, 146, 513, 295], \"label\": \"50 poker chip\"},\n {\"box_2d\": [355, 734, 451, 882], \"label\": \"100 poker chip\"},\n {\"box_2d\": [303, 610, 393, 754], \"label\": \"100 poker chip\"},\n {\"box_2d\": [330, 81, 422, 223], \"label\": \"100 poker chip\"},\n {\"box_2d\": [396, 603, 494, 754], \"label\": \"500 poker chip\"},\n {\"box_2d\": [307, 221, 395, 359], \"label\": \"500 poker chip\"},\n {\"box_2d\": [492, 606, 604, 767], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [595, 211, 720, 380], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [588, 703, 713, 875], \"label\": \"10000 poker chip\"}\n]\n```", "correct": true, "input_tokens": 1252, "output_tokens": 650, "elapsed_seconds": 75.25053654098883, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 18, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9579207897186279, "attempts": 1, "retries": 0, "total_seconds": 76.1179}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 86, "image": "2024-12-05T02-00-59-875Z-1008_jpg.rf.e6de2a9a15084a14389fc0bcc250e3a1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [291, 459, 378, 520], \"label\": \"screw\"},\n {\"box_2d\": [742, 792, 807, 836], \"label\": \"screw\"},\n {\"box_2d\": [637, 932, 699, 975], \"label\": \"screw\"},\n {\"box_2d\": [641, 828, 798, 941], \"label\": \"wire hole\"}\n]\n```", "correct": true, "input_tokens": 1203, "output_tokens": 149, "elapsed_seconds": 39.866979958023876, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 6, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8019801378250122, "attempts": 1, "retries": 0, "total_seconds": 40.0896}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 87, "image": "IMG_20220316_165535_jpg.rf.b4968ac9965090df369ee94c30225977.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [631, 108, 974, 428], \"label\": \"ten of diamonds\"},\n {\"box_2d\": [381, 175, 708, 479], \"label\": \"king of diamonds\"},\n {\"box_2d\": [419, 472, 819, 726], \"label\": \"queen of diamonds\"},\n {\"box_2d\": [108, 309, 475, 591], \"label\": \"nine of diamonds\"},\n {\"box_2d\": [39, 539, 381, 796], \"label\": \"jack of diamonds\"}\n]\n```", "correct": true, "input_tokens": 1218, "output_tokens": 191, "elapsed_seconds": 17.3690054169856, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 17.4075}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 88, "image": "F64FE944-4E23-4E33-ABE4-44B45EEE879E_jpg.rf.4a9fc6077618a5882fd446c7da6c295e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [736, 94, 796, 198], \"label\": \"pill\"},\n {\"box_2d\": [682, 162, 779, 244], \"label\": \"pill\"},\n {\"box_2d\": [680, 217, 745, 321], \"label\": \"pill\"},\n {\"box_2d\": [725, 299, 788, 403], \"label\": \"pill\"},\n {\"box_2d\": [664, 358, 748, 453], \"label\": \"pill\"},\n {\"box_2d\": [782, 412, 838, 517], \"label\": \"pill\"},\n {\"box_2d\": [722, 467, 807, 563], \"label\": \"pill\"},\n {\"box_2d\": [718, 543, 808, 634], \"label\": \"pill\"},\n {\"box_2d\": [696, 632, 792, 721], \"label\": \"pill\"},\n {\"box_2d\": [798, 738, 892, 828], \"label\": \"pill\"},\n {\"box_2d\": [692, 694, 782, 788], \"label\": \"pill\"},\n {\"box_2d\": [680, 754, 734, 865], \"label\": \"pill\"},\n {\"box_2d\": [625, 536, 721, 619], \"label\": \"pill\"},\n {\"box_2d\": [631, 424, 718, 517], \"label\": \"pill\"},\n {\"box_2d\": [597, 459, 675, 557], \"label\": \"pill\"},\n {\"box_2d\": [638, 270, 674, 378], \"label\": \"pill\"},\n {\"box_2d\": [592, 290, 643, 396], \"label\": \"pill\"},\n {\"box_2d\": [589, 180, 672, 277], \"label\": \"pill\"},\n {\"box_2d\": [514, 128, 591, 229], \"label\": \"pill\"},\n {\"box_2d\": [433, 129, 521, 221], \"label\": \"pill\"},\n {\"box_2d\": [478, 256, 582, 315], \"label\": \"pill\"},\n {\"box_2d\": [476, 310, 581, 369], \"label\": \"pill\"},\n {\"box_2d\": [551, 391, 611, 495], \"label\": \"pill\"},\n {\"box_2d\": [532, 523, 615, 618], \"label\": \"pill\"},\n {\"box_2d\": [576, 592, 669, 681], \"label\": \"pill\"},\n {\"box_2d\": [507, 634, 613, 697], \"label\": \"pill\"},\n {\"box_2d\": [555, 695, 612, 805], \"label\": \"pill\"},\n {\"box_2d\": [431, 667, 517, 766], \"label\": \"pill\"},\n {\"box_2d\": [363, 621, 471, 680], \"label\": \"pill\"},\n {\"box_2d\": [356, 560, 463, 620], \"label\": \"pill\"},\n {\"box_2d\": [446, 504, 515, 606], \"label\": \"pill\"},\n {\"box_2d\": [489, 467, 555, 570], \"label\": \"pill\"},\n {\"box_2d\": [456, 376, 550, 459], \"label\": \"pill\"},\n {\"box_2d\": [360, 371, 458, 450], \"label\": \"pill\"},\n {\"box_2d\": [387, 276, 480, 362], \"label\": \"pill\"},\n {\"box_2d\": [349, 241, 446, 323], \"label\": \"pill\"},\n {\"box_2d\": [380, 187, 484, 250], \"label\": \"pill\"},\n {\"box_2d\": [288, 154, 394, 209], \"label\": \"pill\"},\n {\"box_2d\": [276, 208, 383, 270], \"label\": \"pill\"},\n {\"box_2d\": [289, 289, 379, 383], \"label\": \"pill\"},\n {\"box_2d\": [244, 326, 324, 428], \"label\": \"pill\"},\n {\"box_2d\": [186, 238, 290, 315], \"label\": \"pill\"},\n {\"box_2d\": [176, 163, 281, 239], \"label\": \"pill\"},\n {\"box_2d\": [138, 297, 248, 351], \"label\": \"pill\"},\n {\"box_2d\": [184, 391, 284, 474], \"label\": \"pill\"},\n {\"box_2d\": [285, 417, 389, 490], \"label\": \"pill\"},\n {\"box_2d\": [259, 487, 369, 546], \"label\": \"pill\"},\n {\"box_2d\": [169, 524, 277, 597], \"label\": \"pill\"},\n {\"box_2d\": [300, 692, 387, 794], \"label\": \"pill\"},\n {\"box_2d\": [370, 841, 479, 899], \"label\": \"pill\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 1711, "elapsed_seconds": 158.39917474996764, "metadata": {"match_method": "map", "num_predictions": 50, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 159.014}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 89, "image": "20210326_152417_jpg.rf.49d888684dcb029777f91a35c5731fda.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [514, 678, 675, 839], \"label\": \"1 euro cent coin\"},\n {\"box_2d\": [723, 577, 906, 759], \"label\": \"2 euro cent coin\"},\n {\"box_2d\": [420, 80, 628, 294], \"label\": \"5 euro cent coin\"},\n {\"box_2d\": [653, 236, 905, 491], \"label\": \"2 euro coin\"},\n {\"box_2d\": [378, 395, 609, 630], \"label\": \"1 euro coin\"},\n {\"box_2d\": [200, 125, 397, 323], \"label\": \"10 euro cent coin\"},\n {\"box_2d\": [103, 369, 327, 591], \"label\": \"20 euro cent coin\"},\n {\"box_2d\": [203, 645, 445, 889], \"label\": \"50 euro cent coin\"}\n]\n```", "correct": true, "input_tokens": 1272, "output_tokens": 308, "elapsed_seconds": 10.551358458935283, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 10.5771}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 90, "image": "egg-detection_image33_jpg.rf.842de73d6f921d804acd1ea8a1f28413.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [746, 694, 822, 753], \"label\": \"egg\"},\n {\"box_2d\": [468, 428, 553, 491], \"label\": \"egg\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 80, "elapsed_seconds": 88.15831829200033, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 88.2958}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 91, "image": "uav20221018_ixfZ_3857_215_png.rf.8020e1329eefd7e68bf3f7c0394e8bdf.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [773, 779, 804, 807], \"label\": \"banana tree\"},\n {\"box_2d\": [797, 720, 840, 767], \"label\": \"banana tree\"},\n {\"box_2d\": [736, 724, 767, 753], \"label\": \"banana tree\"},\n {\"box_2d\": [703, 779, 738, 815], \"label\": \"banana tree\"},\n {\"box_2d\": [666, 725, 697, 753], \"label\": \"banana tree\"},\n {\"box_2d\": [618, 769, 658, 805], \"label\": \"banana tree\"},\n {\"box_2d\": [553, 772, 589, 809], \"label\": \"banana tree\"},\n {\"box_2d\": [529, 719, 558, 749], \"label\": \"banana tree\"},\n {\"box_2d\": [489, 770, 521, 803], \"label\": \"banana tree\"},\n {\"box_2d\": [406, 761, 449, 803], \"label\": \"banana tree\"},\n {\"box_2d\": [367, 699, 412, 738], \"label\": \"banana tree\"},\n {\"box_2d\": [336, 763, 376, 796], \"label\": \"banana tree\"},\n {\"box_2d\": [298, 693, 349, 746], \"label\": \"banana tree\"},\n {\"box_2d\": [269, 754, 307, 788], \"label\": \"banana tree\"},\n {\"box_2d\": [232, 687, 278, 733], \"label\": \"banana tree\"},\n {\"box_2d\": [191, 749, 238, 792], \"label\": \"banana tree\"},\n {\"box_2d\": [155, 691, 211, 742], \"label\": \"banana tree\"},\n {\"box_2d\": [123, 747, 173, 791], \"label\": \"banana tree\"},\n {\"box_2d\": [92, 684, 134, 728], \"label\": \"banana tree\"},\n {\"box_2d\": [47, 746, 98, 789], \"label\": \"banana tree\"},\n {\"box_2d\": [7, 682, 70, 729], \"label\": \"banana tree\"},\n {\"box_2d\": [46, 938, 102, 996], \"label\": \"banana tree\"},\n {\"box_2d\": [117, 945, 169, 997], \"label\": \"banana tree\"},\n {\"box_2d\": [186, 942, 230, 993], \"label\": \"banana tree\"},\n {\"box_2d\": [254, 946, 294, 990], \"label\": \"banana tree\"},\n {\"box_2d\": [323, 949, 369, 998], \"label\": \"banana tree\"},\n {\"box_2d\": [454, 959, 505, 999], \"label\": \"banana tree\"},\n {\"box_2d\": [595, 954, 639, 998], \"label\": \"banana tree\"},\n {\"box_2d\": [666, 966, 705, 998], \"label\": \"banana tree\"},\n {\"box_2d\": [731, 967, 777, 998], \"label\": \"banana tree\"},\n {\"box_2d\": [869, 723, 920, 764], \"label\": \"banana tree\"},\n {\"box_2d\": [838, 777, 869, 809], \"label\": \"banana tree\"},\n {\"box_2d\": [909, 787, 941, 821], \"label\": \"banana tree\"},\n {\"box_2d\": [934, 732, 976, 767], \"label\": \"banana tree\"},\n {\"box_2d\": [802, 972, 838, 999], \"label\": \"banana tree\"},\n {\"box_2d\": [878, 976, 910, 999], \"label\": \"banana tree\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 1265, "elapsed_seconds": 24.35321929201018, "metadata": {"match_method": "map", "num_predictions": 36, "num_ground_truth": 41, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8011817336082458, "attempts": 1, "retries": 0, "total_seconds": 24.4611}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 92, "image": "DJI_0151_JPG_jpg.rf.3936c799be65e9829061aeb413261c06.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [478, 345, 678, 405], \"label\": \"excavator\"},\n {\"box_2d\": [0, 629, 495, 706], \"label\": \"tower crane\"},\n {\"box_2d\": [160, 427, 211, 487], \"label\": \"concrete mixer\"},\n {\"box_2d\": [162, 338, 211, 391], \"label\": \"dump truck\"},\n {\"box_2d\": [126, 60, 173, 108], \"label\": \"concrete mixer\"}\n]\n```", "correct": true, "input_tokens": 1245, "output_tokens": 185, "elapsed_seconds": 221.0400802079821, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 221.5716}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 93, "image": "55_jpeg_jpg.rf.004155dfb8cf69dfe8eec1fad7b643e0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [713, 0, 798, 97], \"label\": \"potato\"},\n {\"box_2d\": [922, 0, 973, 14], \"label\": \"potato\"},\n {\"box_2d\": [65, 321, 183, 434], \"label\": \"potato\"},\n {\"box_2d\": [694, 349, 850, 432], \"label\": \"potato\"},\n {\"box_2d\": [903, 368, 991, 456], \"label\": \"potato\"},\n {\"box_2d\": [478, 520, 621, 635], \"label\": \"potato\"},\n {\"box_2d\": [708, 585, 800, 680], \"label\": \"potato\"},\n {\"box_2d\": [884, 616, 984, 718], \"label\": \"potato\"},\n {\"box_2d\": [478, 646, 580, 747], \"label\": \"potato\"},\n {\"box_2d\": [244, 804, 386, 910], \"label\": \"potato\"},\n {\"box_2d\": [478, 808, 574, 909], \"label\": \"potato\"},\n {\"box_2d\": [680, 840, 780, 919], \"label\": \"potato\"},\n {\"box_2d\": [63, 911, 179, 999], \"label\": \"potato\"},\n {\"box_2d\": [454, 960, 550, 998], \"label\": \"potato\"},\n {\"box_2d\": [633, 981, 750, 998], \"label\": \"potato\"},\n {\"box_2d\": [869, 986, 922, 998], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1240, "output_tokens": 548, "elapsed_seconds": 38.58077379106544, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 38.6226}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 94, "image": "2024-12-05T02-01-39-892Z-3009_jpg.rf.22fd37099b783ab1f80e4172f8bb073a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [553, 309, 675, 412], \"label\": \"retaining clip\"},\n {\"box_2d\": [461, 493, 594, 583], \"label\": \"retaining clip\"},\n {\"box_2d\": [366, 677, 485, 766], \"label\": \"retaining clip\"},\n {\"box_2d\": [647, 634, 779, 738], \"label\": \"retaining clip\"}\n]\n```", "correct": true, "input_tokens": 1201, "output_tokens": 156, "elapsed_seconds": 22.62242733302992, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 22.9205}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 95, "image": "IMG_20251126_160341_jpg.rf.90a2111f9611ba9b2da6fb1312d0ef72.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 336, 200, 426], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [654, 922, 750, 995], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [656, 830, 754, 904], \"label\": \"white standard price tag\"},\n {\"box_2d\": [661, 699, 761, 771], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [661, 587, 761, 658], \"label\": \"white standard price tag\"},\n {\"box_2d\": [650, 492, 926, 563], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [674, 386, 776, 456], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [683, 297, 783, 369], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [689, 206, 793, 277], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [693, 108, 798, 179], \"label\": \"yellow standard price tag\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 380, "elapsed_seconds": 118.17484420794062, "metadata": {"match_method": "map", "num_predictions": 10, "num_ground_truth": 10, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 118.545}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 96, "image": "tile_267_jpg.rf.d3e282883cf21b5fa393f473090fd4b9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [598, 444, 839, 690], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [826, 152, 999, 396], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [41, 314, 286, 504], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [298, 514, 540, 704], \"label\": \"ship in SAR satellite image\"}\n]\n```", "correct": true, "input_tokens": 1229, "output_tokens": 163, "elapsed_seconds": 6.306456417078152, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 6.3411}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 97, "image": "IMG_20250815_165441_jpg.rf.4c737e973da64b017b0e386f2b455f62.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [771, 706, 851, 746], \"label\": \"barcode\"},\n {\"box_2d\": [828, 256, 864, 304], \"label\": \"barcode\"},\n {\"box_2d\": [219, 444, 314, 491], \"label\": \"barcode\"},\n {\"box_2d\": [193, 629, 234, 672], \"label\": \"barcode\"},\n {\"box_2d\": [680, 65, 720, 117], \"label\": \"barcode\"},\n {\"box_2d\": [741, 551, 825, 594], \"label\": \"barcode\"},\n {\"box_2d\": [213, 179, 311, 232], \"label\": \"barcode\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 249, "elapsed_seconds": 51.6849289170932, "metadata": {"match_method": "map", "num_predictions": 7, "num_ground_truth": 7, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 52.0946}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 98, "image": "Lego_63_low_jpeg.rf.6dd24c9abacc96bac5fb5a7d9ce3f907.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [583, 323, 669, 411], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [278, 315, 339, 405], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [776, 421, 860, 533], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [711, 588, 749, 684], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [603, 905, 697, 1000], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [468, 537, 571, 610], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [293, 579, 396, 651], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [166, 672, 265, 712], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [202, 864, 298, 938], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [581, 253, 663, 331], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [826, 265, 907, 365], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [411, 788, 492, 855], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [173, 709, 250, 762], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [497, 371, 594, 430], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [99, 428, 206, 530], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [672, 412, 766, 511], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [765, 86, 854, 181], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [677, 777, 728, 873], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [670, 673, 750, 735], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [48, 196, 136, 295], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [182, 104, 269, 189], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [58, 670, 152, 777], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [620, 44, 725, 143], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [200, 13, 308, 105], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [445, 725, 519, 777], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [711, 730, 796, 809], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [213, 352, 281, 453], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [28, 752, 132, 822], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [394, 316, 466, 430], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [742, 788, 845, 888], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [222, 795, 307, 875], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [603, 579, 707, 662], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [457, 835, 533, 916], \"label\": \"lego 3x2 brick\"}\n]\n```", "correct": true, "input_tokens": 1244, "output_tokens": 1293, "elapsed_seconds": 36.51923379197251, "metadata": {"match_method": "map", "num_predictions": 33, "num_ground_truth": 34, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8858085870742798, "attempts": 1, "retries": 0, "total_seconds": 36.6087}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 99, "image": "frame_0085_jpg.rf.df2f77641da4fa475877d40e14103949.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [132, 229, 198, 268], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [272, 229, 342, 271], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [261, 130, 326, 174], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [376, 107, 452, 161], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [464, 107, 535, 155], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [417, 234, 487, 281], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [160, 345, 220, 381], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [229, 428, 309, 471], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [317, 353, 391, 396], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [436, 356, 499, 394], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [423, 467, 485, 505], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [529, 340, 597, 386], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [676, 228, 807, 272], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [703, 347, 795, 389], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [637, 473, 738, 522], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [779, 577, 885, 617], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [864, 472, 920, 515], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [848, 339, 932, 387], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [886, 211, 964, 258], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [802, 77, 886, 130], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [590, 84, 672, 136], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [341, 552, 403, 586], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [182, 609, 236, 642], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [368, 675, 434, 710], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [49, 339, 123, 384], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [24, 247, 76, 289], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [44, 139, 108, 181], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [140, 112, 205, 153], \"label\": \"garlic on conveyor\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 1014, "elapsed_seconds": 69.54190104198642, "metadata": {"match_method": "map", "num_predictions": 28, "num_ground_truth": 28, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 69.6764}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 100, "image": "basketball-player-detection_boston-celtics-new-york-knicks-game-4-q1-00-05-00-01-0115_png.rf.268163bdbdd382dbeaa9df9d19cf50ae.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [771, 179, 800, 194], \"label\": \"jersey number\"},\n {\"box_2d\": [387, 563, 405, 576], \"label\": \"jersey number\"},\n {\"box_2d\": [504, 746, 526, 759], \"label\": \"jersey number\"},\n {\"box_2d\": [356, 165, 372, 177], \"label\": \"jersey number\"},\n {\"box_2d\": [314, 107, 456, 161], \"label\": \"player\"},\n {\"box_2d\": [669, 849, 692, 860], \"label\": \"jersey number\"},\n {\"box_2d\": [336, 541, 535, 610], \"label\": \"player\"},\n {\"box_2d\": [295, 712, 336, 750], \"label\": \"basket rim\"},\n {\"box_2d\": [276, 338, 456, 378], \"label\": \"referee\"},\n {\"box_2d\": [721, 297, 880, 326], \"label\": \"referee\"},\n {\"box_2d\": [556, 748, 790, 809], \"label\": \"player\"},\n {\"box_2d\": [703, 167, 962, 236], \"label\": \"player\"},\n {\"box_2d\": [448, 735, 676, 777], \"label\": \"player\"},\n {\"box_2d\": [315, 522, 488, 567], \"label\": \"player\"},\n {\"box_2d\": [306, 146, 513, 198], \"label\": \"player\"},\n {\"box_2d\": [539, 360, 761, 404], \"label\": \"player\"},\n {\"box_2d\": [461, 710, 646, 753], \"label\": \"player\"},\n {\"box_2d\": [610, 811, 845, 872], \"label\": \"player\"}\n]\n```", "correct": false, "input_tokens": 1250, "output_tokens": 632, "elapsed_seconds": 68.37121625000145, "metadata": {"match_method": "map", "num_predictions": 18, "num_ground_truth": 25, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3696369528770447, "attempts": 1, "retries": 0, "total_seconds": 68.5019}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 101, "image": "construction-safety_ppe_0720_jpg.rf.cfd070890ac09790250bebd1b430d69f.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [235, 1, 991, 86], \"label\": \"person\"},\n {\"box_2d\": [190, 294, 991, 405], \"label\": \"person\"},\n {\"box_2d\": [140, 899, 232, 980], \"label\": \"safety helmet\"},\n {\"box_2d\": [324, 399, 598, 487], \"label\": \"safety vest\"},\n {\"box_2d\": [204, 159, 989, 272], \"label\": \"person\"},\n {\"box_2d\": [321, 168, 595, 250], \"label\": \"safety vest\"},\n {\"box_2d\": [243, 563, 983, 666], \"label\": \"person\"},\n {\"box_2d\": [397, 81, 656, 166], \"label\": \"safety vest\"},\n {\"box_2d\": [254, 744, 545, 839], \"label\": \"safety vest\"},\n {\"box_2d\": [240, 577, 304, 625], \"label\": \"safety helmet\"},\n {\"box_2d\": [324, 829, 637, 902], \"label\": \"safety vest\"},\n {\"box_2d\": [193, 677, 263, 728], \"label\": \"safety helmet\"},\n {\"box_2d\": [117, 738, 986, 845], \"label\": \"person\"},\n {\"box_2d\": [288, 96, 355, 141], \"label\": \"safety helmet\"},\n {\"box_2d\": [187, 329, 257, 377], \"label\": \"safety helmet\"},\n {\"box_2d\": [327, 483, 578, 566], \"label\": \"safety vest\"},\n {\"box_2d\": [237, 13, 302, 59], \"label\": \"safety helmet\"},\n {\"box_2d\": [117, 745, 207, 804], \"label\": \"safety helmet\"},\n {\"box_2d\": [327, 661, 601, 746], \"label\": \"safety vest\"},\n {\"box_2d\": [265, 259, 338, 305], \"label\": \"safety helmet\"},\n {\"box_2d\": [209, 419, 274, 466], \"label\": \"safety helmet\"},\n {\"box_2d\": [204, 476, 972, 573], \"label\": \"person\"},\n {\"box_2d\": [148, 808, 223, 853], \"label\": \"safety helmet\"},\n {\"box_2d\": [360, 0, 628, 76], \"label\": \"safety vest\"},\n {\"box_2d\": [204, 184, 271, 230], \"label\": \"safety helmet\"},\n {\"box_2d\": [265, 238, 983, 324], \"label\": \"person\"},\n {\"box_2d\": [209, 395, 983, 495], \"label\": \"person\"},\n {\"box_2d\": [179, 823, 986, 907], \"label\": \"person\"},\n {\"box_2d\": [179, 837, 265, 896], \"label\": \"safety helmet\"},\n {\"box_2d\": [380, 251, 617, 314], \"label\": \"safety vest\"},\n {\"box_2d\": [327, 307, 578, 405], \"label\": \"safety vest\"},\n {\"box_2d\": [134, 874, 989, 999], \"label\": \"person\"},\n {\"box_2d\": [307, 888, 670, 998], \"label\": \"safety vest\"},\n {\"box_2d\": [291, 75, 983, 181], \"label\": \"person\"},\n {\"box_2d\": [190, 651, 989, 755], \"label\": \"person\"},\n {\"box_2d\": [363, 572, 601, 646], \"label\": \"safety vest\"},\n {\"box_2d\": [207, 492, 274, 540], \"label\": \"safety helmet\"}\n]\n```", "correct": true, "input_tokens": 1198, "output_tokens": 1284, "elapsed_seconds": 13.61669516703114, "metadata": {"match_method": "map", "num_predictions": 37, "num_ground_truth": 38, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9735973477363586, "attempts": 1, "retries": 0, "total_seconds": 13.6529}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 102, "image": "fabric-defect_1213_jpg.rf.f4cb351d5d6f226d23075b9a6a549416.jpg", "expected": "", "predicted": "```json\n[{\"box_2d\": [468, 725, 591, 775], \"label\": \"fabric cut\"}, {\"box_2d\": [579, 412, 616, 444], \"label\": \"fabric cut\"}]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 75, "elapsed_seconds": 5.567316166940145, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 5.58}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 103, "image": "indir-2-_jpeg_jpg.rf.cabde9f9d89b7527f52820f6df64e1b7.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [757, 251, 775, 344], \"label\": \"dimension annotation\"},\n {\"box_2d\": [618, 754, 678, 888], \"label\": \"dimension annotation\"},\n {\"box_2d\": [752, 661, 804, 750], \"label\": \"dimension annotation\"},\n {\"box_2d\": [812, 581, 844, 646], \"label\": \"dimension annotation\"},\n {\"box_2d\": [703, 55, 845, 249], \"label\": \"dimension annotation\"},\n {\"box_2d\": [674, 53, 709, 113], \"label\": \"dimension annotation\"},\n {\"box_2d\": [572, 180, 634, 290], \"label\": \"dimension annotation\"},\n {\"box_2d\": [416, 87, 480, 159], \"label\": \"dimension annotation\"},\n {\"box_2d\": [529, 71, 576, 137], \"label\": \"dimension annotation\"},\n {\"box_2d\": [433, 305, 488, 391], \"label\": \"dimension annotation\"},\n {\"box_2d\": [363, 245, 424, 581], \"label\": \"dimension annotation\"},\n {\"box_2d\": [423, 578, 577, 681], \"label\": \"dimension annotation\"},\n {\"box_2d\": [540, 412, 634, 517], \"label\": \"dimension annotation\"},\n {\"box_2d\": [574, 515, 635, 582], \"label\": \"dimension annotation\"},\n {\"box_2d\": [914, 207, 983, 976], \"label\": \"technical drawing table\"}\n]\n```", "correct": false, "input_tokens": 1233, "output_tokens": 534, "elapsed_seconds": 6.3546786670340225, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5201319456100464, "attempts": 1, "retries": 0, "total_seconds": 6.3681}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 104, "image": "wood-log-detection_019_png_jpg.rf.0c10ed1caffd0ca9926a3f2f5de3a24a.jpg", "expected": "", "predicted": "```json\n[{\"box_2d\": [151, 56, 211, 146], \"label\": \"log cross-section\"}, {\"box_2d\": [219, 102, 268, 165], \"label\": \"log cross-section\"}, {\"box_2d\": [264, 53, 314, 121], \"label\": \"log cross-section\"}, {\"box_2d\": [315, 68, 362, 134], \"label\": \"log cross-section\"}, {\"box_2d\": [393, 93, 446, 169], \"label\": \"log cross-section\"}, {\"box_2d\": [332, 132, 368, 177], \"label\": \"log cross-section\"}, {\"box_2d\": [280, 140, 319, 182], \"label\": \"log cross-section\"}, {\"box_2d\": [202, 165, 265, 253], \"label\": \"log cross-section\"}, {\"box_2d\": [188, 237, 224, 276], \"label\": \"log cross-section\"}, {\"box_2d\": [168, 287, 212, 344], \"label\": \"log cross-section\"}, {\"box_2d\": [209, 284, 236, 323], \"label\": \"log cross-section\"}, {\"box_2d\": [254, 281, 291, 330], \"label\": \"log cross-section\"}, {\"box_2d\": [288, 200, 369, 307], \"label\": \"log cross-section\"}, {\"box_2d\": [212, 329, 290, 420], \"label\": \"log cross-section\"}, {\"box_2d\": [170, 405, 205, 453], \"label\": \"log cross-section\"}, {\"box_2d\": [163, 362, 207, 407], \"label\": \"log cross-section\"}, {\"box_2d\": [166, 500, 229, 577], \"label\": \"log cross-section\"}, {\"box_2d\": [235, 418, 331, 551], \"label\": \"log cross-section\"}, {\"box_2d\": [229, 540, 299, 633], \"label\": \"log cross-section\"}, {\"box_2d\": [224, 672, 271, 732], \"label\": \"log cross-section\"}, {\"box_2d\": [224, 734, 278, 800], \"label\": \"log cross-section\"}, {\"box_2d\": [215, 809, 293, 892], \"label\": \"log cross-section\"}, {\"box_2d\": [278, 754, 311, 795], \"label\": \"log cross-section\"}, {\"box_2d\": [271, 658, 338, 739], \"label\": \"log cross-section\"}, {\"box_2d\": [303, 537, 372, 622], \"label\": \"log cross-section\"}, {\"box_2d\": [302, 777, 359, 845], \"label\": \"log cross-section\"}, {\"box_2d\": [324, 703, 388, 785], \"label\": \"log cross-section\"}, {\"box_2d\": [368, 806, 404, 853], \"label\": \"log cross-section\"}, {\"box_2d\": [351, 603, 430, 703], \"label\": \"log cross-section\"}, {\"box_2d\": [371, 501, 441, 586], \"label\": \"log cross-section\"}, {\"box_2d\": [356, 424, 398, 492], \"label\": \"log cross-section\"}, {\"box_2d\": [323, 322, 400, 431], \"label\": \"log cross-section\"}, {\"box_2d\": [348, 242, 400, 315], \"label\": \"log cross-section\"}, {\"box_2d\": [425, 273, 471, 332], \"label\": \"log cross-section\"}, {\"box_2d\": [397, 427, 430, 479], \"label\": \"log cross-section\"}, {\"box_2d\": [430, 414, 469, 466], \"label\": \"log cross-section\"}, {\"box_2d\": [455, 449, 513, 539], \"label\": \"log cross-section\"}, {\"box_2d\": [461, 358, 526, 442], \"label\": \"log cross-section\"}, {\"box_2d\": [468, 319, 496, 353], \"label\": \"log cross-section\"}, {\"box_2d\": [482, 267, 522, 321], \"label\": \"log cross-section\"}, {\"box_2d\": [438, 152, 528, 272], \"label\": \"log cross-section\"}, {\"box_2d\": [455, 91, 494, 144], \"label\": \"log cross-section\"}, {\"box_2d\": [495, 72, 558, 152], \"label\": \"log cross-section\"}, {\"box_2d\": [557, 79, 613, 150], \"label\": \"log cross-section\"}, {\"box_2d\": [530, 161, 560, 204], \"label\": \"log cross-section\"}, {\"box_2d\": [560, 168, 603, 219], \"label\": \"log cross-section\"}, {\"box_2d\": [602, 169, 639, 224], \"label\": \"log cross-section\"}, {\"box_2d\": [628, 66, 721, 195], \"label\": \"log cross-section\"}, {\"box_2d\": [595, 224, 646, 286], \"label\": \"log cross-section\"}, {\"box_2d\": [516, 213, 581, 302], \"label\": \"log cross-section\"}, {\"box_2d\": [504, 307, 566, 383], \"label\": \"log cross-section\"}, {\"box_2d\": [641, 203, 722, 322], \"label\": \"log cross-section\"}, {\"box_2d\": [692, 300, 724, 338], \"label\": \"log cross-section\"}, {\"box_2d\": [637, 325, 722, 452], \"label\": \"log cross-section\"}, {\"box_2d\": [579, 391, 625, 475], \"label\": \"log cross-section\"}, {\"box_2d\": [511, 487, 578, 577], \"label\": \"log cross-section\"}, {\"box_2d\": [466, 550, 519, 622], \"label\": \"log cross-section\"}, {\"box_2d\": [434, 620, 485, 691], \"label\": \"log cross-section\"}, {\"box_2d\": [482, 678, 515, 724], \"label\": \"log cross-section\"}, {\"box_2d\": [456, 722, 512, 792], \"label\": \"log cross-section\"}, {\"box_2d\": [440, 791, 472, 832], \"label\": \"log cross-section\"}, {\"box_2d\": [407, 899, 444, 946], \"label\": \"log cross-section\"}, {\"box_2d\": [469, 836, 499, 874], \"label\": \"log cross-section\"}, {\"box_2d\": [504, 856, 535, 895], \"label\": \"log cross-section\"}, {\"box_2d\": [525, 829, 551, 862], \"label\": \"log cross-section\"}, {\"box_2d\": [512, 773, 555, 820], \"label\": \"log cross-section\"}, {\"box_2d\": [512, 718, 556, 774], \"label\": \"log cross-section\"}, {\"box_2d\": [515, 641, 554, 686], \"label\": \"log cross-section\"}, {\"box_2d\": [546, 613, 598, 677], \"label\": \"log cross-section\"}, {\"box_2d\": [556, 691, 615, 772], \"label\": \"log cross-section\"}, {\"box_2d\": [558, 786, 600, 845], \"label\": \"log cross-section\"}, {\"box_2d\": [584, 845, 616, 886], \"label\": \"log cross-section\"}, {\"box_2d\": [603, 818, 641, 853], \"label\": \"log cross-section\"}, {\"box_2d\": [625, 830, 673, 889], \"label\": \"log cross-section\"}, {\"box_2d\": [614, 732, 665, 797], \"label\": \"log cross-section\"}, {\"box_2d\": [612, 673, 659, 730], \"label\": \"log cross-section\"}, {\"box_2d\": [654, 686, 679, 732], \"label\": \"log cross-section\"}, {\"box_2d\": [671, 844, 689, 876], \"label\": \"log cross-section\"}, {\"box_2d\": [689, 836, 719, 881], \"label\": \"log cross-section\"}, {\"box_2d\": [713, 792, 749, 832], \"label\": \"log cross-section\"}, {\"box_2d\": [688, 721, 720, 759], \"label\": \"log cross-section\"}, {\"box_2d\": [703, 639, 745, 687], \"label\": \"log cross-section\"}, {\"box_2d\": [708, 595, 747, 640], \"label\": \"log cross-section\"}, {\"box_2d\": [678, 475, 740, 554], \"label\": \"log cross-section\"}, {\"box_2d\": [635, 469, 670, 513], \"label\": \"log cross-section\"}, {\"box_2d\": [624, 520, 673, 583], \"label\": \"log cross-section\"}, {\"box_2d\": [634, 584, 675, 642], \"label\": \"log cross-section\"}, {\"box_2d\": [610, 578, 638, 620], \"label\": \"log cross-section\"}, {\"box_2d\": [579, 495, 625, 572], \"label\": \"log cross-section\"}, {\"box_2d\": [568, 572, 608, 613], \"label\": \"log cross-section\"}]\n```", "correct": true, "input_tokens": 1228, "output_tokens": 3151, "elapsed_seconds": 28.602754542022012, "metadata": {"match_method": "map", "num_predictions": 90, "num_ground_truth": 91, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9410340785980225, "attempts": 1, "retries": 0, "total_seconds": 28.6306}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 105, "image": "170571v_JPG_jpg.rf.044f16a58ffbf60b2d7a3d41cd3a4fdf.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [445, 459, 511, 672], \"label\": \"cracked insulator\"},\n {\"box_2d\": [498, 466, 571, 672], \"label\": \"cracked insulator\"},\n {\"box_2d\": [562, 463, 639, 677], \"label\": \"cracked insulator\"},\n {\"box_2d\": [713, 495, 780, 681], \"label\": \"cracked insulator\"},\n {\"box_2d\": [763, 487, 839, 685], \"label\": \"cracked insulator\"}\n]\n```", "correct": true, "input_tokens": 1244, "output_tokens": 192, "elapsed_seconds": 105.0929681659909, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 105.5987}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 106, "image": "IMG_20260128_081412_jpg.rf.4a044ae2d306c8ba7e741477be920225.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [70, 529, 152, 591], \"label\": \"white standard price tag\"},\n {\"box_2d\": [66, 667, 146, 728], \"label\": \"white standard price tag\"},\n {\"box_2d\": [699, 646, 775, 704], \"label\": \"white standard price tag\"},\n {\"box_2d\": [699, 723, 777, 783], \"label\": \"white standard price tag\"},\n {\"box_2d\": [703, 818, 783, 875], \"label\": \"white standard price tag\"},\n {\"box_2d\": [708, 894, 786, 950], \"label\": \"white standard price tag\"},\n {\"box_2d\": [694, 943, 945, 999], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [676, 560, 932, 626], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [670, 419, 926, 485], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [691, 326, 767, 386], \"label\": \"white standard price tag\"},\n {\"box_2d\": [686, 217, 759, 279], \"label\": \"white standard price tag\"},\n {\"box_2d\": [659, 44, 737, 108], \"label\": \"white standard price tag\"},\n {\"box_2d\": [54, 417, 134, 480], \"label\": \"white standard price tag\"},\n {\"box_2d\": [55, 336, 134, 399], \"label\": \"white standard price tag\"},\n {\"box_2d\": [52, 238, 131, 302], \"label\": \"white standard price tag\"},\n {\"box_2d\": [46, 145, 125, 211], \"label\": \"white standard price tag\"},\n {\"box_2d\": [41, 66, 127, 131], \"label\": \"white standard price tag\"},\n {\"box_2d\": [39, 0, 122, 46], \"label\": \"white standard price tag\"},\n {\"box_2d\": [79, 767, 159, 829], \"label\": \"white standard price tag\"},\n {\"box_2d\": [88, 848, 169, 909], \"label\": \"white standard price tag\"},\n {\"box_2d\": [81, 924, 157, 986], \"label\": \"white standard price tag\"}\n]\n```", "correct": true, "input_tokens": 1222, "output_tokens": 773, "elapsed_seconds": 109.93814374995418, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 21, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 110.4145}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 107, "image": "IMG_20220316_163220_jpg.rf.07e174636631b0be143879d240f8f468.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [288, 79, 756, 378], \"label\": \"three of diamonds\"},\n {\"box_2d\": [406, 81, 926, 405], \"label\": \"ace of diamonds\"},\n {\"box_2d\": [399, 396, 872, 731], \"label\": \"two of diamonds\"},\n {\"box_2d\": [153, 452, 636, 809], \"label\": \"four of diamonds\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 154, "elapsed_seconds": 10.424587290966883, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 10.4648}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 108, "image": "2e57b9_3_10_png_jpg.rf.93746b4a960366b1a012ad339a5d68e1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [746, 159, 811, 180], \"label\": \"player\"},\n {\"box_2d\": [575, 58, 625, 70], \"label\": \"player\"},\n {\"box_2d\": [581, 237, 628, 248], \"label\": \"player\"},\n {\"box_2d\": [474, 136, 513, 148], \"label\": \"goalkeeper\"},\n {\"box_2d\": [477, 213, 520, 224], \"label\": \"player\"},\n {\"box_2d\": [457, 217, 496, 229], \"label\": \"player\"},\n {\"box_2d\": [423, 263, 461, 272], \"label\": \"player\"},\n {\"box_2d\": [498, 283, 543, 297], \"label\": \"player\"},\n {\"box_2d\": [587, 349, 639, 360], \"label\": \"player\"},\n {\"box_2d\": [584, 438, 633, 447], \"label\": \"player\"},\n {\"box_2d\": [540, 463, 591, 476], \"label\": \"player\"},\n {\"box_2d\": [540, 495, 590, 504], \"label\": \"player\"},\n {\"box_2d\": [492, 480, 535, 489], \"label\": \"referee\"},\n {\"box_2d\": [471, 499, 512, 509], \"label\": \"player\"},\n {\"box_2d\": [445, 457, 484, 465], \"label\": \"player\"},\n {\"box_2d\": [414, 389, 448, 398], \"label\": \"player\"},\n {\"box_2d\": [376, 392, 405, 398], \"label\": \"player\"},\n {\"box_2d\": [404, 630, 439, 638], \"label\": \"player\"},\n {\"box_2d\": [405, 658, 439, 666], \"label\": \"player\"},\n {\"box_2d\": [451, 675, 491, 684], \"label\": \"player\"},\n {\"box_2d\": [535, 694, 581, 704], \"label\": \"player\"},\n {\"box_2d\": [689, 487, 749, 499], \"label\": \"player\"},\n {\"box_2d\": [910, 742, 987, 773], \"label\": \"referee\"},\n {\"box_2d\": [498, 159, 506, 164], \"label\": \"football\"}\n]\n```", "correct": false, "input_tokens": 1242, "output_tokens": 829, "elapsed_seconds": 15.45207208301872, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6534653306007385, "attempts": 1, "retries": 0, "total_seconds": 15.5841}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 109, "image": "img283_png.rf.c0609f1f38390a89165e7c735d693ab6.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [77, 366, 143, 450], \"label\": \"and gate symbol\"},\n {\"box_2d\": [29, 540, 96, 624], \"label\": \"and gate symbol\"},\n {\"box_2d\": [123, 540, 191, 624], \"label\": \"and gate symbol\"},\n {\"box_2d\": [219, 540, 286, 624], \"label\": \"and gate symbol\"},\n {\"box_2d\": [250, 366, 317, 450], \"label\": \"and gate symbol\"},\n {\"box_2d\": [329, 540, 396, 624], \"label\": \"and gate symbol\"},\n {\"box_2d\": [392, 393, 460, 477], \"label\": \"and gate symbol\"},\n {\"box_2d\": [488, 393, 554, 477], \"label\": \"and gate symbol\"},\n {\"box_2d\": [582, 393, 649, 477], \"label\": \"and gate symbol\"},\n {\"box_2d\": [678, 393, 744, 477], \"label\": \"and gate symbol\"},\n {\"box_2d\": [788, 366, 855, 450], \"label\": \"and gate symbol\"},\n {\"box_2d\": [914, 353, 982, 437], \"label\": \"and gate symbol\"},\n {\"box_2d\": [836, 555, 902, 639], \"label\": \"or gate symbol\"},\n {\"box_2d\": [630, 540, 697, 625], \"label\": \"or gate symbol\"},\n {\"box_2d\": [440, 540, 507, 625], \"label\": \"or gate symbol\"},\n {\"box_2d\": [535, 702, 602, 786], \"label\": \"and gate symbol\"},\n {\"box_2d\": [661, 862, 728, 947], \"label\": \"or gate symbol\"},\n {\"box_2d\": [171, 755, 238, 840], \"label\": \"or gate symbol\"},\n {\"box_2d\": [551, 144, 594, 187], \"label\": \"not gate symbol\"},\n {\"box_2d\": [551, 198, 594, 241], \"label\": \"not gate symbol\"},\n {\"box_2d\": [346, 36, 389, 79], \"label\": \"not gate symbol\"},\n {\"box_2d\": [346, 90, 389, 134], \"label\": \"not gate symbol\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 798, "elapsed_seconds": 9.662904915981926, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 9.6754}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 110, "image": "000002_png.rf.4f51fa98e7c1b825375b26d30324d587.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [173, 574, 189, 597], \"label\": \"tire spike normal\"},\n {\"box_2d\": [243, 642, 260, 667], \"label\": \"tire spike normal\"},\n {\"box_2d\": [334, 678, 351, 700], \"label\": \"tire spike normal\"},\n {\"box_2d\": [390, 745, 408, 769], \"label\": \"tire spike normal\"},\n {\"box_2d\": [464, 766, 483, 790], \"label\": \"tire spike normal\"},\n {\"box_2d\": [545, 780, 563, 804], \"label\": \"tire spike normal\"},\n {\"box_2d\": [614, 840, 632, 862], \"label\": \"tire spike normal\"},\n {\"box_2d\": [715, 835, 731, 859], \"label\": \"tire spike normal\"},\n {\"box_2d\": [765, 876, 781, 895], \"label\": \"tire spike normal\"},\n {\"box_2d\": [759, 496, 781, 526], \"label\": \"tire spike normal\"},\n {\"box_2d\": [572, 435, 590, 463], \"label\": \"tire spike normal\"},\n {\"box_2d\": [507, 378, 529, 405], \"label\": \"tire spike normal\"},\n {\"box_2d\": [410, 381, 429, 406], \"label\": \"tire spike normal\"},\n {\"box_2d\": [348, 327, 368, 352], \"label\": \"tire spike normal\"},\n {\"box_2d\": [250, 297, 271, 325], \"label\": \"tire spike absent\"},\n {\"box_2d\": [196, 246, 211, 270], \"label\": \"tire spike absent\"},\n {\"box_2d\": [153, 204, 168, 228], \"label\": \"tire spike absent\"}\n]\n```", "correct": false, "input_tokens": 1244, "output_tokens": 624, "elapsed_seconds": 15.849170499946922, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 25, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5841584205627441, "attempts": 1, "retries": 0, "total_seconds": 15.8803}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 111, "image": "20210325_203906_jpg.rf.933d9e03e479d146bb70034cc952f103.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [761, 434, 927, 605], \"label\": \"10 euro cent coin\"},\n {\"box_2d\": [541, 217, 742, 420], \"label\": \"1 euro coin\"},\n {\"box_2d\": [320, 72, 539, 291], \"label\": \"50 euro cent coin\"},\n {\"box_2d\": [153, 223, 302, 372], \"label\": \"1 euro cent coin\"},\n {\"box_2d\": [266, 366, 455, 555], \"label\": \"5 euro cent coin\"},\n {\"box_2d\": [125, 517, 300, 691], \"label\": \"2 euro cent coin\"},\n {\"box_2d\": [477, 458, 672, 656], \"label\": \"20 euro cent coin\"},\n {\"box_2d\": [331, 652, 567, 894], \"label\": \"2 euro coin\"}\n]\n```", "correct": true, "input_tokens": 1272, "output_tokens": 308, "elapsed_seconds": 6.825292875058949, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 6.8443}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 112, "image": "IMG_6680_jpeg_jpg.rf.a7e13dbe56d360a8422903a30c5bef2b.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [450, 29, 526, 198], \"label\": \"green poker chip\"},\n {\"box_2d\": [488, 28, 545, 200], \"label\": \"green poker chip\"},\n {\"box_2d\": [501, 32, 562, 204], \"label\": \"green poker chip\"},\n {\"box_2d\": [447, 227, 521, 382], \"label\": \"orange poker chip\"},\n {\"box_2d\": [482, 232, 541, 387], \"label\": \"orange poker chip\"},\n {\"box_2d\": [498, 215, 562, 369], \"label\": \"orange poker chip\"},\n {\"box_2d\": [445, 431, 517, 583], \"label\": \"red poker chip\"},\n {\"box_2d\": [473, 421, 537, 570], \"label\": \"red poker chip\"},\n {\"box_2d\": [496, 435, 558, 589], \"label\": \"red poker chip\"},\n {\"box_2d\": [448, 623, 520, 782], \"label\": \"blue poker chip\"},\n {\"box_2d\": [483, 622, 538, 782], \"label\": \"blue poker chip\"},\n {\"box_2d\": [504, 625, 563, 788], \"label\": \"blue poker chip\"},\n {\"box_2d\": [438, 802, 508, 970], \"label\": \"white poker chip\"},\n {\"box_2d\": [478, 813, 532, 988], \"label\": \"white poker chip\"},\n {\"box_2d\": [489, 811, 550, 987], \"label\": \"white poker chip\"}\n]\n```", "correct": true, "input_tokens": 1243, "output_tokens": 549, "elapsed_seconds": 13.156051250058226, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 13.1787}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 113, "image": "paper-parts_1947_92_jpg.rf.c89564b4b37a6d7828cc26ccdadbe488.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [99, 861, 113, 880], \"label\": \"page number\"},\n {\"box_2d\": [143, 236, 471, 764], \"label\": \"figure\"},\n {\"box_2d\": [485, 118, 518, 881], \"label\": \"figure caption\"},\n {\"box_2d\": [549, 267, 565, 732], \"label\": \"table caption\"},\n {\"box_2d\": [579, 226, 691, 774], \"label\": \"table\"},\n {\"box_2d\": [720, 118, 753, 881], \"label\": \"paragraph\"},\n {\"box_2d\": [776, 118, 790, 336], \"label\": \"subsection\"},\n {\"box_2d\": [804, 118, 837, 881], \"label\": \"paragraph\"},\n {\"box_2d\": [853, 427, 872, 571], \"label\": \"equation\"},\n {\"box_2d\": [888, 118, 906, 536], \"label\": \"paragraph\"}\n]\n```", "correct": true, "input_tokens": 1255, "output_tokens": 354, "elapsed_seconds": 34.981355208088644, "metadata": {"match_method": "map", "num_predictions": 10, "num_ground_truth": 10, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8749998807907104, "attempts": 1, "retries": 0, "total_seconds": 35.0403}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 114, "image": "160623_JPG_jpg.rf.4a3c396118b0f749044f2bf5dc9876a6.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 405, 964, 517], \"label\": \"insulator flashover\"}\n]\n```", "correct": false, "input_tokens": 1218, "output_tokens": 47, "elapsed_seconds": 66.96605000004638, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 67.8735}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 115, "image": "97_jpg.rf.6e96875525666efd5c6ee92a42ea704b.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [155, 444, 229, 488], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [393, 258, 427, 314], \"label\": \"resistor symbol\"},\n {\"box_2d\": [365, 417, 452, 466], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [399, 639, 437, 709], \"label\": \"resistor symbol\"},\n {\"box_2d\": [362, 771, 446, 809], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [502, 114, 616, 159], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [551, 519, 647, 560], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [557, 865, 690, 888], \"label\": \"resistor symbol\"},\n {\"box_2d\": [814, 281, 858, 349], \"label\": \"resistor symbol\"}\n]\n```", "correct": true, "input_tokens": 1251, "output_tokens": 341, "elapsed_seconds": 7.067210334003903, "metadata": {"match_method": "map", "num_predictions": 9, "num_ground_truth": 9, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 7.0753}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 116, "image": "IMG_20260128_081234_jpg.rf.66b0abebc9fc2c6dc309b213a32ddf78.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [729, 36, 839, 108], \"label\": \"white standard price tag\"},\n {\"box_2d\": [739, 256, 845, 332], \"label\": \"white standard price tag\"},\n {\"box_2d\": [738, 355, 845, 427], \"label\": \"white standard price tag\"},\n {\"box_2d\": [735, 441, 842, 511], \"label\": \"white standard price tag\"},\n {\"box_2d\": [735, 557, 844, 629], \"label\": \"white standard price tag\"},\n {\"box_2d\": [736, 699, 846, 769], \"label\": \"white standard price tag\"},\n {\"box_2d\": [738, 807, 847, 875], \"label\": \"white standard price tag\"},\n {\"box_2d\": [739, 882, 846, 947], \"label\": \"white standard price tag\"},\n {\"box_2d\": [740, 949, 849, 1000], \"label\": \"white standard price tag\"},\n {\"box_2d\": [46, 899, 173, 976], \"label\": \"white standard price tag\"},\n {\"box_2d\": [36, 588, 166, 667], \"label\": \"white standard price tag\"},\n {\"box_2d\": [27, 405, 358, 492], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [13, 298, 353, 396], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [7, 80, 361, 188], \"label\": \"yellow large price tag\"}\n]\n```", "correct": true, "input_tokens": 1222, "output_tokens": 523, "elapsed_seconds": 20.080720582976937, "metadata": {"match_method": "map", "num_predictions": 14, "num_ground_truth": 14, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 20.4808}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 117, "image": "1668147222__jpg.rf.44d299ff8b2787b4176e92260de001ce.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [598, 40, 643, 68], \"label\": \"five die\"},\n {\"box_2d\": [841, 120, 899, 154], \"label\": \"five die\"},\n {\"box_2d\": [504, 108, 560, 142], \"label\": \"six die\"},\n {\"box_2d\": [356, 124, 402, 154], \"label\": \"six die\"},\n {\"box_2d\": [280, 206, 328, 236], \"label\": \"five die\"},\n {\"box_2d\": [423, 220, 468, 249], \"label\": \"five die\"},\n {\"box_2d\": [568, 145, 624, 179], \"label\": \"three die\"},\n {\"box_2d\": [584, 284, 634, 312], \"label\": \"six die\"},\n {\"box_2d\": [425, 304, 473, 331], \"label\": \"two die\"},\n {\"box_2d\": [373, 292, 428, 325], \"label\": \"one die\"},\n {\"box_2d\": [129, 318, 187, 349], \"label\": \"four die\"},\n {\"box_2d\": [174, 381, 233, 413], \"label\": \"two die\"},\n {\"box_2d\": [134, 398, 193, 430], \"label\": \"one die\"},\n {\"box_2d\": [525, 391, 581, 422], \"label\": \"four die\"},\n {\"box_2d\": [643, 373, 699, 404], \"label\": \"six die\"},\n {\"box_2d\": [757, 448, 803, 475], \"label\": \"five die\"},\n {\"box_2d\": [758, 509, 812, 538], \"label\": \"four die\"},\n {\"box_2d\": [771, 563, 828, 595], \"label\": \"four die\"},\n {\"box_2d\": [624, 501, 672, 528], \"label\": \"two die\"},\n {\"box_2d\": [629, 540, 686, 573], \"label\": \"two die\"},\n {\"box_2d\": [589, 583, 637, 609], \"label\": \"five die\"},\n {\"box_2d\": [401, 473, 456, 504], \"label\": \"one die\"},\n {\"box_2d\": [301, 490, 353, 518], \"label\": \"three die\"},\n {\"box_2d\": [376, 530, 432, 562], \"label\": \"six die\"},\n {\"box_2d\": [211, 496, 271, 529], \"label\": \"one die\"},\n {\"box_2d\": [229, 529, 281, 556], \"label\": \"two die\"},\n {\"box_2d\": [181, 538, 239, 571], \"label\": \"five die\"},\n {\"box_2d\": [124, 553, 181, 583], \"label\": \"two die\"},\n {\"box_2d\": [170, 569, 226, 601], \"label\": \"two die\"},\n {\"box_2d\": [20, 613, 82, 645], \"label\": \"five die\"},\n {\"box_2d\": [136, 729, 193, 760], \"label\": \"one die\"},\n {\"box_2d\": [158, 792, 217, 826], \"label\": \"three die\"},\n {\"box_2d\": [284, 612, 343, 645], \"label\": \"two die\"},\n {\"box_2d\": [333, 633, 384, 662], \"label\": \"two die\"},\n {\"box_2d\": [395, 638, 446, 667], \"label\": \"five die\"},\n {\"box_2d\": [460, 586, 518, 619], \"label\": \"six die\"},\n {\"box_2d\": [481, 626, 539, 659], \"label\": \"one die\"},\n {\"box_2d\": [536, 628, 589, 659], \"label\": \"four die\"},\n {\"box_2d\": [568, 650, 624, 683], \"label\": \"six die\"},\n {\"box_2d\": [641, 665, 696, 697], \"label\": \"three die\"},\n {\"box_2d\": [353, 695, 401, 723], \"label\": \"four die\"},\n {\"box_2d\": [399, 730, 459, 765], \"label\": \"four die\"},\n {\"box_2d\": [463, 742, 520, 776], \"label\": \"five die\"},\n {\"box_2d\": [513, 757, 565, 788], \"label\": \"two die\"},\n {\"box_2d\": [585, 770, 641, 802], \"label\": \"three die\"},\n {\"box_2d\": [450, 857, 496, 887], \"label\": \"four die\"},\n {\"box_2d\": [699, 912, 747, 942], \"label\": \"five die\"},\n {\"box_2d\": [82, 935, 134, 965], \"label\": \"two die\"},\n {\"box_2d\": [125, 919, 184, 951], \"label\": \"one die\"},\n {\"box_2d\": [127, 949, 177, 978], \"label\": \"three die\"}\n]\n```", "correct": true, "input_tokens": 1252, "output_tokens": 1757, "elapsed_seconds": 27.065714417025447, "metadata": {"match_method": "map", "num_predictions": 50, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9752475023269653, "attempts": 1, "retries": 0, "total_seconds": 27.1248}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 118, "image": "IMG_0603_jpeg.rf.ecb146a41f95c297fa9a3a9efb0e3ea5.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [461, 213, 616, 311], \"label\": \"peach jelly bean\"},\n {\"box_2d\": [339, 396, 456, 466], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [468, 521, 588, 639], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [345, 689, 447, 798], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [97, 772, 159, 822], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [103, 821, 161, 871], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [121, 868, 164, 910], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [153, 856, 215, 903], \"label\": \"caramel corn jelly bean\"}\n]\n```", "correct": true, "input_tokens": 1230, "output_tokens": 315, "elapsed_seconds": 7.73719675000757, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8341583609580994, "attempts": 1, "retries": 0, "total_seconds": 7.7904}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 119, "image": "lot229_JPEG_jpg.rf.ffdf35568953f3fde9f8f46749018268.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [771, 355, 790, 395], \"label\": \"chicory seed\"},\n {\"box_2d\": [709, 278, 747, 309], \"label\": \"chicory seed\"},\n {\"box_2d\": [686, 329, 720, 352], \"label\": \"chicory seed\"},\n {\"box_2d\": [678, 345, 706, 386], \"label\": \"chicory seed\"},\n {\"box_2d\": [633, 275, 676, 294], \"label\": \"chicory seed\"},\n {\"box_2d\": [639, 195, 674, 232], \"label\": \"chicory seed\"},\n {\"box_2d\": [598, 196, 634, 232], \"label\": \"chicory seed\"},\n {\"box_2d\": [593, 173, 629, 204], \"label\": \"chicory seed\"},\n {\"box_2d\": [553, 182, 588, 219], \"label\": \"chicory seed\"},\n {\"box_2d\": [566, 265, 606, 291], \"label\": \"chicory seed\"},\n {\"box_2d\": [525, 221, 563, 252], \"label\": \"chicory seed\"},\n {\"box_2d\": [485, 190, 523, 214], \"label\": \"chicory seed\"},\n {\"box_2d\": [461, 192, 479, 231], \"label\": \"chicory seed\"},\n {\"box_2d\": [406, 178, 447, 200], \"label\": \"chicory seed\"},\n {\"box_2d\": [384, 146, 415, 178], \"label\": \"chicory seed\"},\n {\"box_2d\": [377, 126, 400, 168], \"label\": \"chicory seed\"},\n {\"box_2d\": [363, 189, 404, 211], \"label\": \"chicory seed\"},\n {\"box_2d\": [425, 195, 459, 226], \"label\": \"chicory seed\"},\n {\"box_2d\": [393, 202, 424, 244], \"label\": \"chicory seed\"},\n {\"box_2d\": [398, 231, 434, 258], \"label\": \"chicory seed\"},\n {\"box_2d\": [424, 233, 455, 270], \"label\": \"chicory seed\"},\n {\"box_2d\": [401, 274, 442, 305], \"label\": \"chicory seed\"},\n {\"box_2d\": [403, 304, 443, 325], \"label\": \"chicory seed\"},\n {\"box_2d\": [422, 326, 461, 350], \"label\": \"chicory seed\"},\n {\"box_2d\": [462, 241, 496, 281], \"label\": \"chicory seed\"},\n {\"box_2d\": [478, 233, 509, 272], \"label\": \"chicory seed\"},\n {\"box_2d\": [508, 267, 532, 307], \"label\": \"chicory seed\"},\n {\"box_2d\": [520, 247, 555, 285], \"label\": \"chicory seed\"},\n {\"box_2d\": [482, 315, 510, 360], \"label\": \"chicory seed\"},\n {\"box_2d\": [508, 309, 534, 348], \"label\": \"chicory seed\"},\n {\"box_2d\": [525, 312, 558, 350], \"label\": \"chicory seed\"},\n {\"box_2d\": [506, 344, 543, 373], \"label\": \"chicory seed\"},\n {\"box_2d\": [579, 306, 603, 349], \"label\": \"chicory seed\"},\n {\"box_2d\": [579, 347, 605, 390], \"label\": \"chicory seed\"},\n {\"box_2d\": [602, 333, 631, 369], \"label\": \"chicory seed\"},\n {\"box_2d\": [647, 369, 677, 409], \"label\": \"chicory seed\"},\n {\"box_2d\": [674, 389, 710, 412], \"label\": \"chicory seed\"},\n {\"box_2d\": [650, 407, 673, 448], \"label\": \"chicory seed\"},\n {\"box_2d\": [629, 415, 660, 456], \"label\": \"chicory seed\"},\n {\"box_2d\": [671, 412, 709, 443], \"label\": \"chicory seed\"},\n {\"box_2d\": [707, 406, 745, 440], \"label\": \"chicory seed\"},\n {\"box_2d\": [749, 411, 770, 456], \"label\": \"chicory seed\"},\n {\"box_2d\": [769, 396, 800, 433], \"label\": \"chicory seed\"},\n {\"box_2d\": [765, 454, 804, 475], \"label\": \"chicory seed\"},\n {\"box_2d\": [725, 443, 753, 483], \"label\": \"chicory seed\"},\n {\"box_2d\": [686, 463, 730, 486], \"label\": \"chicory seed\"},\n {\"box_2d\": [656, 451, 691, 488], \"label\": \"chicory seed\"},\n {\"box_2d\": [661, 486, 703, 509], \"label\": \"chicory seed\"},\n {\"box_2d\": [625, 458, 660, 490], \"label\": \"chicory seed\"},\n {\"box_2d\": [606, 490, 649, 513], \"label\": \"chicory seed\"},\n {\"box_2d\": [579, 474, 622, 496], \"label\": \"chicory seed\"},\n {\"box_2d\": [585, 405, 625, 437], \"label\": \"chicory seed\"},\n {\"box_2d\": [566, 391, 597, 432], \"label\": \"chicory seed\"},\n {\"box_2d\": [553, 380, 584, 422], \"label\": \"chicory seed\"},\n {\"box_2d\": [572, 437, 593, 479], \"label\": \"chicory seed\"},\n {\"box_2d\": [548, 424, 572, 468], \"label\": \"chicory seed\"},\n {\"box_2d\": [524, 418, 556, 459], \"label\": \"chicory seed\"},\n {\"box_2d\": [513, 404, 540, 443], \"label\": \"chicory seed\"},\n {\"box_2d\": [519, 371, 548, 406], \"label\": \"chicory seed\"},\n {\"box_2d\": [485, 387, 524, 410], \"label\": \"chicory seed\"},\n {\"box_2d\": [461, 342, 483, 386], \"label\": \"chicory seed\"},\n {\"box_2d\": [442, 355, 465, 397], \"label\": \"chicory seed\"},\n {\"box_2d\": [399, 342, 436, 373], \"label\": \"chicory seed\"},\n {\"box_2d\": [402, 377, 443, 404], \"label\": \"chicory seed\"},\n {\"box_2d\": [434, 388, 467, 428], \"label\": \"chicory seed\"},\n {\"box_2d\": [420, 399, 453, 432], \"label\": \"chicory seed\"},\n {\"box_2d\": [405, 408, 432, 445], \"label\": \"chicory seed\"},\n {\"box_2d\": [464, 398, 505, 421], \"label\": \"chicory seed\"},\n {\"box_2d\": [474, 419, 513, 449], \"label\": \"chicory seed\"},\n {\"box_2d\": [468, 450, 510, 485], \"label\": \"chicory seed\"},\n {\"box_2d\": [482, 479, 524, 501], \"label\": \"chicory seed\"},\n {\"box_2d\": [473, 499, 517, 524], \"label\": \"chicory seed\"},\n {\"box_2d\": [494, 508, 535, 537], \"label\": \"chicory seed\"},\n {\"box_2d\": [528, 484, 571, 510], \"label\": \"chicory seed\"},\n {\"box_2d\": [557, 497, 599, 520], \"label\": \"chicory seed\"},\n {\"box_2d\": [540, 511, 577, 543], \"label\": \"chicory seed\"},\n {\"box_2d\": [573, 520, 596, 556], \"label\": \"chicory seed\"},\n {\"box_2d\": [592, 523, 619, 565], \"label\": \"chicory seed\"},\n {\"box_2d\": [618, 519, 642, 563], \"label\": \"chicory seed\"},\n {\"box_2d\": [614, 562, 654, 583], \"label\": \"chicory seed\"},\n {\"box_2d\": [652, 546, 673, 589], \"label\": \"chicory seed\"},\n {\"box_2d\": [678, 531, 714, 570], \"label\": \"chicory seed\"},\n {\"box_2d\": [723, 499, 764, 522], \"label\": \"chicory seed\"},\n {\"box_2d\": [731, 519, 755, 561], \"label\": \"chicory seed\"},\n {\"box_2d\": [753, 511, 790, 546], \"label\": \"chicory seed\"},\n {\"box_2d\": [741, 552, 779, 584], \"label\": \"chicory seed\"},\n {\"box_2d\": [682, 554, 719, 593], \"label\": \"chicory seed\"},\n {\"box_2d\": [699, 565, 738, 601], \"label\": 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"```json\n[\n {\"box_2d\": [529, 460, 557, 488], \"label\": \"bullet hole\"},\n {\"box_2d\": [579, 360, 605, 386], \"label\": \"bullet hole\"},\n {\"box_2d\": [585, 611, 611, 632], \"label\": \"bullet hole\"},\n {\"box_2d\": [567, 269, 591, 294], \"label\": \"bullet hole\"},\n {\"box_2d\": [610, 246, 632, 272], \"label\": \"bullet hole\"},\n {\"box_2d\": [721, 355, 745, 382], \"label\": \"bullet hole\"},\n {\"box_2d\": [686, 449, 710, 474], \"label\": \"bullet hole\"},\n {\"box_2d\": [685, 608, 710, 632], \"label\": \"bullet hole\"},\n {\"box_2d\": [360, 608, 383, 630], \"label\": \"bullet hole\"},\n {\"box_2d\": [313, 559, 336, 582], \"label\": \"bullet hole\"},\n {\"box_2d\": [350, 275, 375, 298], \"label\": \"bullet hole\"},\n {\"box_2d\": [423, 220, 446, 242], \"label\": \"bullet hole\"},\n {\"box_2d\": [213, 509, 236, 530], \"label\": \"bullet hole\"},\n {\"box_2d\": [256, 611, 278, 632], \"label\": \"bullet hole\"},\n {\"box_2d\": [321, 669, 342, 692], \"label\": \"bullet hole\"},\n {\"box_2d\": [224, 670, 249, 694], \"label\": \"bullet hole\"},\n {\"box_2d\": [101, 565, 122, 584], \"label\": \"bullet hole\"},\n {\"box_2d\": [113, 341, 136, 362], \"label\": \"bullet hole\"},\n {\"box_2d\": [178, 340, 200, 362], \"label\": \"bullet hole\"},\n {\"box_2d\": [51, 341, 70, 365], \"label\": \"bullet hole\"},\n {\"box_2d\": [67, 808, 89, 830], \"label\": \"bullet hole\"},\n {\"box_2d\": [138, 795, 162, 818], \"label\": \"bullet hole\"},\n {\"box_2d\": [225, 848, 246, 869], \"label\": \"bullet hole\"},\n {\"box_2d\": [332, 835, 356, 858], \"label\": \"bullet hole\"},\n {\"box_2d\": [389, 828, 415, 850], \"label\": \"bullet hole\"},\n {\"box_2d\": [7, 118, 28, 139], \"label\": \"bullet hole\"},\n {\"box_2d\": [75, 125, 96, 146], \"label\": \"bullet hole\"},\n {\"box_2d\": [167, 138, 189, 159], \"label\": \"bullet hole\"},\n {\"box_2d\": [226, 145, 249, 166], \"label\": \"bullet hole\"},\n {\"box_2d\": [474, 158, 489, 171], \"label\": \"bullet hole\"},\n {\"box_2d\": [568, 92, 594, 115], \"label\": \"bullet hole\"},\n {\"box_2d\": [633, 35, 648, 55], \"label\": \"bullet hole\"},\n {\"box_2d\": [743, 174, 764, 192], \"label\": \"bullet hole\"},\n {\"box_2d\": [745, 259, 764, 284], \"label\": \"bullet hole\"},\n {\"box_2d\": [796, 236, 820, 256], \"label\": \"bullet hole\"},\n {\"box_2d\": [782, 342, 805, 362], \"label\": \"bullet hole\"},\n {\"box_2d\": [853, 321, 880, 341], \"label\": \"bullet hole\"},\n {\"box_2d\": [928, 169, 946, 188], \"label\": \"bullet hole\"},\n {\"box_2d\": [812, 519, 834, 539], \"label\": \"bullet hole\"},\n {\"box_2d\": [881, 455, 905, 480], \"label\": \"bullet hole\"},\n {\"box_2d\": [934, 539, 954, 560], \"label\": \"bullet hole\"},\n {\"box_2d\": [862, 608, 882, 632], \"label\": \"bullet hole\"},\n {\"box_2d\": [891, 781, 913, 802], \"label\": \"bullet hole\"},\n {\"box_2d\": [894, 888, 918, 908], \"label\": \"bullet hole\"}\n]\n```", "correct": false, "input_tokens": 1222, "output_tokens": 1540, "elapsed_seconds": 15.000533208018169, "metadata": {"match_method": "map", "num_predictions": 44, "num_ground_truth": 44, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.43373727798461914, "attempts": 1, "retries": 0, "total_seconds": 15.0321}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 121, "image": "GP010255_JPG_jpg.rf.a9c124de642391662cf0875377214d1e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [72, 527, 166, 783], \"label\": \"carrot\"},\n {\"box_2d\": [123, 511, 200, 770], \"label\": \"carrot\"},\n {\"box_2d\": [92, 344, 245, 558], \"label\": \"carrot\"},\n {\"box_2d\": [173, 377, 298, 622], \"label\": \"carrot\"},\n {\"box_2d\": [270, 422, 417, 616], \"label\": \"carrot\"},\n {\"box_2d\": [186, 594, 345, 777], \"label\": \"carrot\"},\n {\"box_2d\": [306, 644, 464, 791], \"label\": \"carrot\"},\n {\"box_2d\": [377, 516, 636, 573], \"label\": \"carrot\"},\n {\"box_2d\": [456, 625, 672, 688], \"label\": \"carrot\"},\n {\"box_2d\": [459, 683, 694, 761], \"label\": \"carrot\"},\n {\"box_2d\": [489, 555, 730, 631], \"label\": \"carrot\"},\n {\"box_2d\": [572, 491, 766, 588], \"label\": \"carrot\"},\n {\"box_2d\": [517, 466, 720, 520], \"label\": \"carrot\"},\n {\"box_2d\": [495, 369, 703, 461], \"label\": \"carrot\"},\n {\"box_2d\": [461, 378, 622, 473], \"label\": \"carrot\"},\n {\"box_2d\": [436, 330, 483, 519], \"label\": \"carrot\"},\n {\"box_2d\": [441, 277, 712, 342], \"label\": \"carrot\"},\n {\"box_2d\": [314, 305, 491, 367], \"label\": \"carrot\"},\n {\"box_2d\": [238, 342, 434, 444], \"label\": \"carrot\"},\n {\"box_2d\": [209, 314, 342, 394], \"label\": \"carrot\"},\n {\"box_2d\": [138, 281, 286, 419], \"label\": \"carrot\"},\n {\"box_2d\": [666, 631, 814, 794], \"label\": \"carrot\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 758, "elapsed_seconds": 8.590986917028204, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 8.6176}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 122, "image": "20210325_203749_jpg.rf.1705fa1e1420cef9584e0f51c930586c.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [200, 136, 405, 348], \"label\": \"50 euro cent coin\"},\n {\"box_2d\": [439, 228, 603, 394], \"label\": \"2 euro cent coin\"},\n {\"box_2d\": [134, 425, 327, 620], \"label\": \"1 euro coin\"},\n {\"box_2d\": [367, 481, 505, 620], \"label\": \"1 euro cent coin\"},\n {\"box_2d\": [611, 417, 805, 609], \"label\": \"20 euro cent coin\"},\n {\"box_2d\": [158, 683, 322, 852], \"label\": \"10 euro cent coin\"},\n {\"box_2d\": [384, 750, 562, 934], \"label\": \"5 euro cent coin\"},\n {\"box_2d\": [611, 634, 834, 858], \"label\": \"2 euro coin\"}\n]\n```", "correct": true, "input_tokens": 1272, "output_tokens": 309, "elapsed_seconds": 8.801370625034906, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 8.8225}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 123, "image": "53_jpeg_jpg.rf.827706d6e6ec3d14c5952c8d4c752e99.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [713, 66, 797, 193], \"label\": \"potato\"},\n {\"box_2d\": [715, 416, 859, 499], \"label\": \"potato\"},\n {\"box_2d\": [922, 675, 1000, 770], \"label\": \"potato\"},\n {\"box_2d\": [721, 625, 822, 717], \"label\": \"potato\"},\n {\"box_2d\": [520, 699, 623, 801], \"label\": \"potato\"},\n {\"box_2d\": [488, 574, 619, 688], \"label\": \"potato\"},\n {\"box_2d\": [514, 845, 621, 947], \"label\": \"potato\"},\n {\"box_2d\": [314, 848, 426, 951], \"label\": \"potato\"},\n {\"box_2d\": [719, 890, 801, 969], \"label\": \"potato\"},\n {\"box_2d\": [90, 378, 203, 490], \"label\": \"potato\"},\n {\"box_2d\": [918, 13, 1000, 108], \"label\": \"potato\"},\n {\"box_2d\": [924, 437, 1000, 526], \"label\": \"potato\"},\n {\"box_2d\": [129, 957, 250, 1000], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1240, "output_tokens": 455, "elapsed_seconds": 36.692337791086175, "metadata": {"match_method": "map", "num_predictions": 13, "num_ground_truth": 13, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 36.7351}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 124, "image": "car-part-detection_Car-damages-1749_png_jpg.rf.841bd72a48ea0726dc55d3cf93207af1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [562, 60, 725, 114], \"label\": \"back bumper\"},\n {\"box_2d\": [432, 74, 549, 130], \"label\": \"tail light\"},\n {\"box_2d\": [297, 81, 412, 152], \"label\": \"back windshield\"},\n {\"box_2d\": [283, 211, 444, 434], \"label\": \"back window\"},\n {\"box_2d\": [280, 198, 724, 466], \"label\": \"back door\"},\n {\"box_2d\": [281, 452, 724, 738], \"label\": \"front door\"},\n {\"box_2d\": [283, 452, 462, 682], \"label\": \"front window\"},\n {\"box_2d\": [407, 675, 471, 712], \"label\": \"mirror\"},\n {\"box_2d\": [395, 732, 466, 922], \"label\": \"hood\"},\n {\"box_2d\": [291, 594, 435, 767], \"label\": \"windshield\"},\n {\"box_2d\": [573, 898, 712, 987], \"label\": \"front bumper\"},\n {\"box_2d\": [357, 845, 396, 916], \"label\": \"headlight\"},\n {\"box_2d\": [354, 769, 391, 790], \"label\": \"headlight\"},\n {\"box_2d\": [324, 956, 350, 982], \"label\": \"mirror\"},\n {\"box_2d\": [307, 768, 326, 789], \"label\": \"mirror\"},\n {\"box_2d\": [345, 682, 376, 725], \"label\": \"headlight\"},\n {\"box_2d\": [332, 772, 389, 919], \"label\": \"hood\"},\n {\"box_2d\": [274, 818, 340, 956], \"label\": \"windshield\"},\n {\"box_2d\": [271, 667, 324, 772], \"label\": \"windshield\"},\n {\"box_2d\": [317, 639, 360, 745], \"label\": \"hood\"},\n {\"box_2d\": [274, 944, 444, 998], \"label\": \"front door\"},\n {\"box_2d\": [278, 950, 350, 990], \"label\": \"front window\"},\n {\"box_2d\": [271, 756, 399, 809], \"label\": \"front door\"},\n {\"box_2d\": [274, 804, 317, 832], \"label\": \"back window\"},\n {\"box_2d\": [275, 760, 326, 805], \"label\": \"front window\"},\n {\"box_2d\": [389, 765, 430, 882], \"label\": \"front bumper\"},\n {\"box_2d\": [300, 1, 399, 65], \"label\": \"front door\"},\n {\"box_2d\": [303, 1, 346, 56], \"label\": \"front window\"},\n {\"box_2d\": [300, 29, 336, 92], \"label\": \"windshield\"}\n]\n```", "correct": false, "input_tokens": 1246, "output_tokens": 1010, "elapsed_seconds": 11.487487457925454, "metadata": {"match_method": "map", "num_predictions": 29, "num_ground_truth": 13, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7087457776069641, "attempts": 1, "retries": 0, "total_seconds": 11.5187}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 125, "image": "1704196661687_jpg.rf.15374227e4fbd79145880dc340991d51.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [76, 451, 173, 520], \"label\": \"bean grain\"},\n {\"box_2d\": [110, 584, 198, 675], \"label\": \"bean grain\"},\n {\"box_2d\": [189, 304, 298, 378], \"label\": \"bean grain\"},\n {\"box_2d\": [200, 142, 285, 212], \"label\": \"bean grain\"},\n {\"box_2d\": [217, 534, 298, 640], \"label\": \"bean grain\"},\n {\"box_2d\": [190, 815, 270, 910], \"label\": \"bean grain\"},\n {\"box_2d\": [375, 134, 446, 237], \"label\": \"bean grain\"},\n {\"box_2d\": [454, 382, 539, 478], \"label\": \"bean grain\"},\n {\"box_2d\": [387, 715, 493, 795], \"label\": \"bean grain\"},\n {\"box_2d\": [548, 562, 625, 664], \"label\": \"bean grain\"},\n {\"box_2d\": [610, 157, 692, 267], \"label\": \"bean grain\"},\n {\"box_2d\": [646, 403, 715, 500], \"label\": \"bean grain\"},\n {\"box_2d\": [803, 343, 890, 437], \"label\": \"bean grain\"},\n {\"box_2d\": [754, 557, 842, 648], \"label\": \"bean grain\"},\n {\"box_2d\": [637, 764, 703, 862], \"label\": \"bean grain\"},\n {\"box_2d\": [537, 859, 610, 962], \"label\": \"bean grain\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 571, "elapsed_seconds": 7.798330249963328, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 7.8173}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 126, "image": "fall-detection_13_mp4-274_jpg.rf.81d37af519564fd17e00cbdde20bedcf.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [389, 470, 434, 537], \"label\": \"fallen person\"},\n {\"box_2d\": [420, 588, 472, 725], \"label\": \"fallen person\"},\n {\"box_2d\": [386, 523, 447, 631], \"label\": \"fallen person\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 117, "elapsed_seconds": 8.988820499973372, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 9.0053}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 127, "image": "tile_672_jpg.rf.563bc07bfb63272303ba7c8beec3dfd0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [24, 444, 79, 471], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [222, 715, 259, 735], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [436, 684, 470, 702], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [471, 829, 520, 862], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [689, 822, 732, 855], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [876, 850, 916, 871], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [832, 82, 892, 114], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [332, 829, 355, 849], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [602, 691, 626, 705], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [515, 366, 539, 386], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [610, 426, 626, 448], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [375, 336, 392, 365], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [854, 132, 874, 148], \"label\": \"ship in SAR satellite image\"}\n]\n```", "correct": true, "input_tokens": 1229, "output_tokens": 503, "elapsed_seconds": 8.464393291971646, "metadata": {"match_method": "map", "num_predictions": 13, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 8.5083}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 128, "image": "Screenshot-2024-05-16-150353_png.rf.28f931ef1556f4fbfc5b8964a85b5e08.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [77, 984, 108, 1000], \"label\": \"bullet hole\"},\n {\"box_2d\": [397, 986, 429, 1000], \"label\": \"bullet hole\"},\n {\"box_2d\": [123, 895, 155, 927], \"label\": \"bullet hole\"},\n {\"box_2d\": [110, 764, 144, 795], \"label\": \"bullet hole\"},\n {\"box_2d\": [336, 764, 370, 795], \"label\": \"bullet hole\"},\n {\"box_2d\": [82, 599, 114, 629], \"label\": \"bullet hole\"},\n {\"box_2d\": [431, 616, 463, 653], \"label\": \"bullet hole\"},\n {\"box_2d\": [548, 798, 578, 829], \"label\": \"bullet hole\"},\n {\"box_2d\": [585, 674, 621, 703], \"label\": \"bullet hole\"},\n {\"box_2d\": [735, 646, 767, 677], \"label\": \"bullet hole\"},\n {\"box_2d\": [794, 759, 826, 790], \"label\": \"bullet hole\"},\n {\"box_2d\": [712, 315, 738, 345], \"label\": \"bullet hole\"},\n {\"box_2d\": [810, 319, 840, 351], \"label\": \"bullet hole\"},\n {\"box_2d\": [708, 150, 744, 183], \"label\": \"bullet hole\"},\n {\"box_2d\": [811, 109, 843, 138], \"label\": \"bullet hole\"},\n {\"box_2d\": [826, 183, 858, 212], \"label\": \"bullet hole\"},\n {\"box_2d\": [918, 174, 947, 206], \"label\": \"bullet hole\"},\n {\"box_2d\": [509, 57, 541, 91], \"label\": \"bullet hole\"},\n {\"box_2d\": [459, 302, 491, 333], \"label\": \"bullet hole\"},\n {\"box_2d\": [431, 80, 463, 114], \"label\": \"bullet hole\"},\n {\"box_2d\": [375, 1, 409, 36], \"label\": \"bullet hole\"},\n {\"box_2d\": [388, 255, 420, 286], \"label\": \"bullet hole\"},\n {\"box_2d\": [324, 224, 358, 255], \"label\": \"bullet hole\"},\n {\"box_2d\": [299, 68, 333, 102], \"label\": \"bullet hole\"},\n {\"box_2d\": [251, 285, 285, 316], \"label\": \"bullet hole\"},\n {\"box_2d\": [203, 160, 237, 193], \"label\": \"bullet hole\"},\n {\"box_2d\": [205, 12, 238, 43], \"label\": \"bullet hole\"},\n {\"box_2d\": [107, 81, 141, 112], \"label\": \"bullet hole\"},\n {\"box_2d\": [194, 375, 224, 405], \"label\": \"bullet hole\"},\n {\"box_2d\": [180, 466, 212, 498], \"label\": \"bullet hole\"},\n {\"box_2d\": [68, 336, 101, 366], \"label\": \"bullet hole\"},\n {\"box_2d\": [27, 415, 60, 446], \"label\": \"bullet hole\"},\n {\"box_2d\": [20, 35, 53, 66], \"label\": \"bullet hole\"},\n {\"box_2d\": [66, 152, 98, 180], \"label\": \"bullet hole\"}\n]\n```", "correct": false, "input_tokens": 1222, "output_tokens": 1183, "elapsed_seconds": 10.872374332975596, "metadata": {"match_method": "map", "num_predictions": 34, "num_ground_truth": 34, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3396921455860138, "attempts": 1, "retries": 0, "total_seconds": 10.8902}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 129, "image": "9999942_00000_d_0000179_jpg.rf.00eabf74c1cd10c40aa228a466f9fe04.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [721, 256, 745, 274], \"label\": \"person\"},\n {\"box_2d\": [652, 111, 707, 177], \"label\": \"car\"},\n {\"box_2d\": [612, 131, 665, 200], \"label\": \"car\"},\n {\"box_2d\": [466, 345, 504, 400], \"label\": \"car\"},\n {\"box_2d\": [434, 355, 470, 409], \"label\": \"car\"},\n {\"box_2d\": [375, 372, 408, 421], \"label\": \"car\"},\n {\"box_2d\": [298, 379, 329, 424], \"label\": \"car\"},\n {\"box_2d\": [301, 276, 330, 326], \"label\": \"car\"},\n {\"box_2d\": [335, 251, 371, 300], \"label\": \"car\"},\n {\"box_2d\": [329, 187, 381, 223], \"label\": \"car\"},\n {\"box_2d\": [334, 138, 391, 170], \"label\": \"van\"},\n {\"box_2d\": [363, 56, 417, 100], \"label\": \"car\"},\n {\"box_2d\": [357, 16, 413, 60], \"label\": \"car\"},\n {\"box_2d\": [343, 0, 396, 25], \"label\": \"car\"},\n {\"box_2d\": [82, 395, 105, 423], \"label\": \"car\"},\n {\"box_2d\": [307, 678, 342, 719], \"label\": \"car\"},\n {\"box_2d\": [174, 833, 274, 877], \"label\": \"bus\"},\n {\"box_2d\": [40, 761, 102, 786], \"label\": \"bus\"},\n {\"box_2d\": [54, 880, 72, 886], \"label\": \"person\"},\n {\"box_2d\": [49, 913, 69, 927], \"label\": \"car\"},\n {\"box_2d\": [75, 935, 129, 965], \"label\": \"truck\"},\n {\"box_2d\": [112, 976, 150, 999], \"label\": \"van\"},\n {\"box_2d\": [116, 951, 138, 966], \"label\": \"tricycle\"},\n {\"box_2d\": [329, 968, 368, 997], \"label\": \"car\"},\n {\"box_2d\": [250, 811, 272, 819], \"label\": \"person\"},\n {\"box_2d\": [457, 771, 479, 782], \"label\": \"person\"},\n {\"box_2d\": [329, 719, 349, 738], \"label\": \"bike\"}\n]\n```", "correct": false, "input_tokens": 1217, "output_tokens": 918, "elapsed_seconds": 21.265789041062817, "metadata": {"match_method": "map", "num_predictions": 27, "num_ground_truth": 36, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.41177961230278015, "attempts": 1, "retries": 0, "total_seconds": 21.3721}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 130, "image": "125_jpg.rf.c69f3d1b75a33297315d1889af6311e9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [504, 151, 632, 187], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [349, 267, 390, 306], \"label\": \"resistor symbol\"},\n {\"box_2d\": [529, 375, 695, 394], \"label\": \"resistor symbol\"},\n {\"box_2d\": [346, 463, 386, 509], \"label\": \"resistor symbol\"},\n {\"box_2d\": [551, 636, 728, 656], \"label\": \"resistor symbol\"},\n {\"box_2d\": [357, 720, 404, 774], \"label\": \"resistor symbol\"},\n {\"box_2d\": [143, 735, 250, 783], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [518, 841, 651, 862], \"label\": \"resistor symbol\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 302, "elapsed_seconds": 18.161729000043124, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 18.1696}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 131, "image": "IMG_20250815_164311_jpg.rf.83efd32a603d001fd15e3979d744bb04.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [553, 185, 616, 260], \"label\": \"barcode\"},\n {\"box_2d\": [627, 694, 697, 771], \"label\": \"barcode\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 80, "elapsed_seconds": 22.880319125019014, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 23.3756}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 132, "image": "Container-259_jpg.rf.0707fcc208504e8c70d360815ec87ed2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [238, 580, 293, 728], \"label\": \"shipping container number\"},\n {\"box_2d\": [289, 578, 320, 636], \"label\": \"container ISO type code\"}\n]\n```", "correct": true, "input_tokens": 1232, "output_tokens": 85, "elapsed_seconds": 6.602648249943741, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 6.6184}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 133, "image": "1704195139360_jpg.rf.325f2c91dbc2bf8869d0a95b29652b2f.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [750, 742, 790, 792], \"label\": \"lentil grain\"},\n {\"box_2d\": [797, 434, 834, 480], \"label\": \"lentil grain\"},\n {\"box_2d\": [631, 534, 670, 577], \"label\": \"lentil grain\"},\n {\"box_2d\": [616, 616, 653, 659], \"label\": \"lentil grain\"},\n {\"box_2d\": [556, 433, 592, 473], \"label\": \"lentil grain\"},\n {\"box_2d\": [412, 253, 453, 295], \"label\": \"lentil grain\"},\n {\"box_2d\": [472, 614, 509, 653], \"label\": \"lentil grain\"},\n {\"box_2d\": [338, 566, 372, 605], \"label\": \"lentil grain\"},\n {\"box_2d\": [206, 438, 248, 483], \"label\": \"lentil grain\"},\n {\"box_2d\": [119, 738, 159, 783], \"label\": \"lentil grain\"},\n {\"box_2d\": [309, 750, 347, 791], \"label\": \"lentil grain\"},\n {\"box_2d\": [303, 822, 339, 867], \"label\": \"lentil grain\"},\n {\"box_2d\": [534, 862, 575, 908], \"label\": \"lentil grain\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 480, "elapsed_seconds": 10.969279250013642, "metadata": {"match_method": "map", "num_predictions": 13, "num_ground_truth": 13, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 10.9853}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 134, "image": "IMG_20250815_165037_jpg.rf.d4afcf541c2eaa2a500b0fc3e74f380a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [760, 823,,, 797, 859], \"label\": \"barcode\"},\n {\"box_2d\": [274, 566,,, 309, 608], \"label\": \"barcode\"},\n {\"box_2d\": [280, 843,,, 359, 881], \"label\": \"barcode\"},\n {\"box_2d\": [123, 265,,, 212, 311], \"label\": \"barcode\"},\n {\"box_2d\": [797, 220,,, 888, 267], \"label\": \"barcode\"},\n {\"box_2d\": [303, 428,,, 340, 471], \"label\": \"barcode\"},\n {\"box_2d\": [811, 430,,, 898, 474], \"label\": \"barcode\"},\n {\"box_2d\": [804, 665,,, 890, 706], \"label\": \"barcode\"}\n]\n```", "correct": false, "input_tokens": 1214, "output_tokens": 300, "elapsed_seconds": 45.16473266703542, "metadata": {"match_method": "map", "num_predictions": 0, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 45.5843}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 135, "image": "frame_0213_jpg.rf.a492e6ad2bcd535fad151a853f122d53.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [77, 127, 138, 165], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [88, 253, 145, 290], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [173, 232, 232, 272], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [167, 349, 227, 384], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [427, 233, 495, 272], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [635, 241, 704, 281], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [535, 365, 610, 405], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [624, 362, 695, 405], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [746, 349, 822, 394], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [708, 452, 789, 494], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [835, 469, 912, 511], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [421, 466, 483, 505], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [273, 444, 333, 476], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [191, 456, 240, 489], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [50, 415, 110, 447], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [108, 553, 166, 586], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [62, 620, 117, 651], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [213, 548, 269, 580], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [283, 542, 338, 578], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [420, 547, 482, 582], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [558, 563, 626, 603], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [579, 604, 622, 631], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [546, 670, 610, 707], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [678, 559, 745, 610], \"label\": \"garlic on conveyor\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 872, "elapsed_seconds": 42.64362512505613, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 23, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9962871074676514, "attempts": 1, "retries": 0, "total_seconds": 42.7731}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 136, "image": "1668147836__jpg.rf.c1a720811dddd913a56ced8dd87e3a53.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [52, 362, 111, 389], \"label\": \"three die\"},\n {\"box_2d\": [244, 142, 310, 177], \"label\": \"two die\"},\n {\"box_2d\": [246, 179, 300, 208], \"label\": \"one die\"},\n {\"box_2d\": [274, 284, 330, 312], \"label\": \"four die\"},\n {\"box_2d\": [232, 410, 289, 437], \"label\": \"two die\"},\n {\"box_2d\": [259, 565, 326, 598], \"label\": \"five die\"},\n {\"box_2d\": [47, 714, 108, 745], \"label\": \"five die\"},\n {\"box_2d\": [214, 741, 274, 772], \"label\": \"three die\"},\n {\"box_2d\": [339, 730, 407, 766], \"label\": \"two die\"},\n {\"box_2d\": [373, 657, 427, 685], \"label\": \"one die\"},\n {\"box_2d\": [345, 564, 399, 592], \"label\": \"three die\"},\n {\"box_2d\": [314, 527, 378, 560], \"label\": \"four die\"},\n {\"box_2d\": [339, 480, 396, 509], \"label\": \"five die\"},\n {\"box_2d\": [397, 569, 459, 601], \"label\": \"one die\"},\n {\"box_2d\": [468, 568, 524, 597], \"label\": \"three die\"},\n {\"box_2d\": [537, 628, 591, 656], \"label\": \"four die\"},\n {\"box_2d\": [428, 798, 485, 830], \"label\": \"six die\"},\n {\"box_2d\": [433, 825, 496, 860], \"label\": \"three die\"},\n {\"box_2d\": [545, 847, 607, 882], \"label\": \"one die\"},\n {\"box_2d\": [558, 901, 620, 936], \"label\": \"one die\"},\n {\"box_2d\": [642, 760, 694, 789], \"label\": \"six die\"},\n {\"box_2d\": [723, 825, 780, 857], \"label\": \"four die\"},\n {\"box_2d\": [755, 792, 815, 826], \"label\": \"six die\"},\n {\"box_2d\": [749, 717, 812, 752], \"label\": \"two die\"},\n {\"box_2d\": [799, 823, 853, 854], \"label\": \"one die\"},\n {\"box_2d\": [912, 777, 962, 806], \"label\": \"two die\"},\n {\"box_2d\": [805, 908, 860, 941], \"label\": \"two die\"},\n {\"box_2d\": [603, 569, 659, 597], \"label\": \"four die\"},\n {\"box_2d\": [696, 509, 750, 537], \"label\": \"six die\"},\n {\"box_2d\": [533, 458, 595, 492], \"label\": \"four die\"},\n {\"box_2d\": [633, 436, 697, 470], \"label\": \"four die\"},\n {\"box_2d\": [733, 463, 793, 494], \"label\": \"two die\"},\n {\"box_2d\": [894, 404, 956, 438], \"label\": \"one die\"},\n {\"box_2d\": [428, 380, 487, 411], \"label\": \"four die\"},\n {\"box_2d\": [404, 351, 456, 377], \"label\": \"four die\"},\n {\"box_2d\": [461, 315, 524, 349], \"label\": \"four die\"},\n {\"box_2d\": [494, 148, 554, 181], \"label\": \"five die\"},\n {\"box_2d\": [618, 139, 681, 175], \"label\": \"five die\"},\n {\"box_2d\": [647, 191, 706, 224], \"label\": \"four die\"},\n {\"box_2d\": [524, 274, 581, 304], \"label\": \"four die\"},\n {\"box_2d\": [565, 283, 626, 316], \"label\": \"four die\"},\n {\"box_2d\": [583, 350, 636, 378], \"label\": \"three die\"},\n {\"box_2d\": [660, 275, 716, 307], \"label\": \"two die\"},\n {\"box_2d\": [711, 278, 761, 305], \"label\": \"six die\"},\n {\"box_2d\": [733, 244, 787, 275], \"label\": \"two die\"},\n {\"box_2d\": [725, 211, 787, 245], \"label\": \"four die\"},\n {\"box_2d\": [759, 183, 821, 218], \"label\": \"three die\"},\n {\"box_2d\": [811, 241, 872, 275], \"label\": \"six die\"},\n {\"box_2d\": [757, 271, 811, 302], \"label\": \"four die\"},\n {\"box_2d\": [785, 300, 841, 331], \"label\": \"four die\"}\n]\n```", "correct": false, "input_tokens": 1252, "output_tokens": 1760, "elapsed_seconds": 37.53239233302884, "metadata": {"match_method": "map", "num_predictions": 50, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6670084595680237, "attempts": 1, "retries": 0, "total_seconds": 37.5969}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 137, "image": "Lego_170_high_jpeg.rf.173b945a080a292465fe84cab83086af.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [749, 498,, 845, 567], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [699, 474,, 755, 577], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [718, 424,, 800, 500], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [592, 321,, 667, 429], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [546, 348,, 623, 456], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [618, 417,, 688, 500], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [520, 256,, 591, 363], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [654, 255,, 725, 340], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [649, 219,, 743, 290], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [698, 281,, 764, 384], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [638, 104,, 695, 195], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [472, 466,, 565, 545], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [472, 392,, 555, 480], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [397, 378,, 491, 424], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [381, 427,, 451, 526], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [332, 296,, 377, 400], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [261, 576,, 343, 649], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [228, 499,, 330, 600], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [394, 104,, 479, 200], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [364, 36,,, 444, 138], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [252, 155,, 314, 264], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [196, 151,, 269, 254], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [196, 86,,, 282, 185], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [117, 96,,, 217, 209], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [85, 239,, 153, 342], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [151, 307,, 206, 393], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [117, 736,, 174, 832], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [119, 879,, 162, 974], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [176, 813,, 268, 916], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [336, 754,, 411, 837], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [408, 770,, 487, 833], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [485, 711,, 581, 768], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [539, 756,, 639, 825], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [585, 929,, 665, 991], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [711, 700,, 796, 779], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [669, 783,, 765, 835], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [671, 825,, 740, 905], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [736, 828,, 810, 892], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [804, 816,, 882, 899], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [851, 798,, 930, 880], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [702, 896,, 785, 960], \"label\": \"lego 3x2 brick\"}\n]\n```", "correct": false, "input_tokens": 1244, "output_tokens": 1651, "elapsed_seconds": 37.42194037500303, "metadata": {"match_method": "map", "num_predictions": 0, "num_ground_truth": 42, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 37.5174}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 138, "image": "DJI_0290_JPG_jpg.rf.052c45a410708d5965bfee1fe9dd1918.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 0, 1000, 183], \"label\": \"tower crane\"},\n {\"box_2d\": [489, 371, 588, 480], \"label\": \"excavator\"},\n {\"box_2d\": [321, 196, 368, 250], \"label\": \"excavator\"},\n {\"box_2d\": [290, 417, 360, 487], \"label\": \"concrete mixer\"},\n {\"box_2d\": [448, 835, 529, 930], \"label\": \"dump truck\"},\n {\"box_2d\": [200, 300, 249, 345], \"label\": \"dump truck\"},\n {\"box_2d\": [132, 220, 175, 250], \"label\": \"concrete mixer\"}\n]\n```", "correct": true, "input_tokens": 1209, "output_tokens": 256, "elapsed_seconds": 177.89207533397712, "metadata": {"match_method": "map", "num_predictions": 7, "num_ground_truth": 6, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.875, "attempts": 1, "retries": 0, "total_seconds": 179.1084}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 139, "image": "oil-tank-detection_oiltank_165_jpg.rf.7a5e38aa38fc11f1234038d454ec044d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [581, 14, 711, 123], \"label\": \"oil tank\"},\n {\"box_2d\": [715, 11, 853, 121], \"label\": \"oil tank\"},\n {\"box_2d\": [713, 127, 853, 240], \"label\": \"oil tank\"},\n {\"box_2d\": [579, 131, 709, 238], \"label\": \"oil tank\"},\n {\"box_2d\": [573, 247, 705, 355], \"label\": \"oil tank\"},\n {\"box_2d\": [713, 245, 845, 356], \"label\": \"oil tank\"},\n {\"box_2d\": [708, 361, 860, 488], \"label\": \"oil tank\"},\n {\"box_2d\": [556, 360, 702, 481], \"label\": \"oil tank\"},\n {\"box_2d\": [550, 486, 696, 608], \"label\": \"oil tank\"},\n {\"box_2d\": [706, 487, 856, 616], \"label\": \"oil tank\"},\n {\"box_2d\": [700, 616, 852, 744], \"label\": \"oil tank\"},\n {\"box_2d\": [546, 614, 691, 738], \"label\": \"oil tank\"},\n {\"box_2d\": [543, 742, 687, 865], \"label\": \"oil tank\"},\n {\"box_2d\": [699, 745, 847, 871], \"label\": \"oil tank\"}\n]\n```", "correct": true, "input_tokens": 1217, "output_tokens": 500, "elapsed_seconds": 29.291595457936637, "metadata": {"match_method": "map", "num_predictions": 14, "num_ground_truth": 14, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 29.3669}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 140, "image": "img268_png.rf.77932c9124f7e63f288e2be4179d983b.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [77, 250, 111, 299], \"label\": \"not gate symbol\"},\n {\"box_2d\": [29, 389, 108, 459], \"label\": \"and gate symbol\"},\n {\"box_2d\": [80, 545, 160, 616], \"label\": \"and gate symbol\"},\n {\"box_2d\": [153, 409, 190, 459], \"label\": \"not gate symbol\"},\n {\"box_2d\": [277, 409, 313, 459], \"label\": \"not gate symbol\"},\n {\"box_2d\": [228, 545, 310, 616], \"label\": \"and gate symbol\"},\n {\"box_2d\": [155, 702, 235, 775], \"label\": \"or gate symbol\"},\n {\"box_2d\": [356, 545, 434, 616], \"label\": \"and gate symbol\"},\n {\"box_2d\": [480, 569, 513, 616], \"label\": \"not gate symbol\"},\n {\"box_2d\": [405, 704, 487, 776], \"label\": \"and gate symbol\"},\n {\"box_2d\": [279, 860, 360, 935], \"label\": \"or gate symbol\"},\n {\"box_2d\": [553, 251, 591, 299], \"label\": \"not gate symbol\"},\n {\"box_2d\": [631, 251, 667, 299], \"label\": \"not gate symbol\"},\n {\"box_2d\": [557, 388, 636, 458], \"label\": \"and gate symbol\"},\n {\"box_2d\": [606, 545, 686, 617], \"label\": \"and gate symbol\"},\n {\"box_2d\": [731, 409, 769, 459], \"label\": \"not gate symbol\"},\n {\"box_2d\": [732, 545, 813, 616], \"label\": \"and gate symbol\"},\n {\"box_2d\": [858, 409, 895, 459], \"label\": \"not gate symbol\"},\n {\"box_2d\": [857, 546, 940, 616], \"label\": \"and gate symbol\"},\n {\"box_2d\": [886, 704, 965, 775], \"label\": \"and gate symbol\"},\n {\"box_2d\": [656, 701, 738, 774], \"label\": \"or gate symbol\"},\n {\"box_2d\": [757, 860, 839, 933], \"label\": \"or gate symbol\"}\n]\n```", "correct": true, "input_tokens": 1231, "output_tokens": 801, "elapsed_seconds": 20.45373608393129, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 20.4897}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 141, "image": "170211-2-h_JPG_jpg.rf.4b0d2b71f289bdb00cd0502c7a7a2a5d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [248, 464, 927, 567], \"label\": \"insulator flashover\"}\n]\n```", "correct": false, "input_tokens": 1218, "output_tokens": 49, "elapsed_seconds": 116.42504466697574, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 117.2373}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 142, "image": "floorplan-windows-doors_10361_png.rf.0282a156e3e18e32c9b31eca83a8df92.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [729, 591, 792, 654], \"label\": \"door\"},\n {\"box_2d\": [613, 476, 667, 538], \"label\": \"door\"},\n {\"box_2d\": [549, 477, 603, 539], \"label\": \"door\"},\n {\"box_2d\": [548, 720, 602, 783], \"label\": \"door\"},\n {\"box_2d\": [482, 593, 536, 654], \"label\": \"door\"},\n {\"box_2d\": [357, 704, 412, 766], \"label\": \"door\"},\n {\"box_2d\": [291, 770, 343, 825], \"label\": \"door\"},\n {\"box_2d\": [151, 770, 203, 821], \"label\": \"door\"},\n {\"box_2d\": [92, 121, 152, 198], \"label\": \"door\"},\n {\"box_2d\": [188, 174, 286, 199], \"label\": \"window\"},\n {\"box_2d\": [314, 174, 411, 199], \"label\": \"window\"},\n {\"box_2d\": [437, 174, 534, 198], \"label\": \"window\"},\n {\"box_2d\": [637, 174, 735, 198], \"label\": \"window\"},\n {\"box_2d\": [868, 288, 891, 396], \"label\": \"window\"},\n {\"box_2d\": [869, 590, 940, 656], \"label\": \"door\"},\n {\"box_2d\": [869, 777, 892, 886], \"label\": \"window\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 555, "elapsed_seconds": 10.954464333015494, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 11.0438}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 143, "image": "IMG_0588_jpeg.rf.ff3a785b0ac1ba5a56ab8eed6ca615a1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [32, 574, 96, 646], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [248, 549, 313, 628], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [237, 743, 316, 818], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [376, 481, 476, 533], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [439, 631, 513, 704], \"label\": \"caramel corn jelly bean\"},\n {\"box_2d\": [617, 554, 719, 602], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [629, 735, 736, 783], \"label\": \"mixed berry smoothie jelly bean\"}\n]\n```", "correct": true, "input_tokens": 1219, "output_tokens": 274, "elapsed_seconds": 14.520737458020449, "metadata": {"match_method": "map", "num_predictions": 7, "num_ground_truth": 7, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 14.568}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 144, "image": "signatures_image_100_png_jpg.rf.1b732e075f2453b4400e76d3923fe526.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [322, 72, 396, 434], \"label\": \"signature\"},\n {\"box_2d\": [345, 526, 391, 891], \"label\": \"signature\"},\n {\"box_2d\": [463, 128, 542, 444], \"label\": \"signature\"},\n {\"box_2d\": [450, 555, 514, 819], \"label\": \"signature\"},\n {\"box_2d\": [586, 108, 639, 427], \"label\": \"signature\"}\n]\n```", "correct": true, "input_tokens": 1200, "output_tokens": 181, "elapsed_seconds": 62.458978791953996, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 62.4722}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 145, "image": "paper-parts_8548_70_jpg.rf.61a39e9181e5ebef57cae728c932b730.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [96, 198, 396, 829], \"label\": \"figure\"},\n {\"box_2d\": [400, 118, 430, 882], \"label\": \"figure caption\"},\n {\"box_2d\": [482, 118, 512, 881], \"label\": \"table caption\"},\n {\"box_2d\": [529, 107, 585, 891], \"label\": \"table\"},\n {\"box_2d\": [633, 118, 654, 312], \"label\": \"subsection\"},\n {\"box_2d\": [674, 118, 723, 881], \"label\": \"paragraph\"},\n {\"box_2d\": [742, 305, 766, 882], \"label\": \"equation\"},\n {\"box_2d\": [779, 118, 880, 882], \"label\": \"paragraph\"},\n {\"box_2d\": [901, 490, 913, 509], \"label\": \"page number\"}\n]\n```", "correct": true, "input_tokens": 1255, "output_tokens": 320, "elapsed_seconds": 57.603800583980046, "metadata": {"match_method": "map", "num_predictions": 9, "num_ground_truth": 9, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8749998807907104, "attempts": 1, "retries": 0, "total_seconds": 57.6614}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 146, "image": "19_jpeg_jpg.rf.34c89435b5ff9122cacb0cab18a49f99.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [791, 35, 900, 141], \"label\": \"potato\"},\n {\"box_2d\": [603, 57, 710, 175], \"label\": \"potato\"},\n {\"box_2d\": [403, 66, 496, 152], \"label\": \"potato\"},\n {\"box_2d\": [220, 0, 311, 82], \"label\": \"potato\"},\n {\"box_2d\": [32, 20, 125, 105], \"label\": \"potato\"},\n {\"box_2d\": [10, 333, 96, 429], \"label\": \"potato\"},\n {\"box_2d\": [186, 279, 297, 356], \"label\": \"potato\"},\n {\"box_2d\": [189, 396, 294, 476], \"label\": \"potato\"},\n {\"box_2d\": [403, 329, 505, 413], \"label\": \"potato\"},\n {\"box_2d\": [397, 489, 513, 569], \"label\": \"potato\"},\n {\"box_2d\": [199, 549, 307, 665], \"label\": \"potato\"},\n {\"box_2d\": [24, 785, 130, 892], \"label\": \"potato\"},\n {\"box_2d\": [219, 791, 319, 900], \"label\": \"potato\"},\n {\"box_2d\": [395, 709, 524, 793], \"label\": \"potato\"},\n {\"box_2d\": [610, 781, 713, 864], \"label\": \"potato\"},\n {\"box_2d\": [831, 487, 930, 581], \"label\": \"potato\"},\n {\"box_2d\": [845, 935, 949, 1000], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1240, "output_tokens": 580, "elapsed_seconds": 9.665211290935986, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 18, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9405940771102905, "attempts": 1, "retries": 0, "total_seconds": 9.7072}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 147, "image": "f12_jpg.rf.fa104f4d104f326761c5485949eec7bb.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [721, 155, 932, 419], \"label\": \"wildfire\"},\n {\"box_2d\": [324, 239, 610, 381], \"label\": \"wildfire\"},\n {\"box_2d\": [315, 597, 558, 787], \"label\": \"wildfire\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 117, "elapsed_seconds": 37.83479908306617, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 37.9578}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 148, "image": "f36_jpg.rf.8c77ed13627d4f4c8abf32c1c7573442.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 62, 588, 307], \"label\": \"wildfire\"},\n {\"box_2d\": [0, 704, 412, 839], \"label\": \"wildfire\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 77, "elapsed_seconds": 63.94751837500371, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 64.0688}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 149, "image": "46_jpg.rf.ed53b85cf8112394121da4a88ce9efc4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [572, 150, 725, 213], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [519, 302, 651, 323], \"label\": \"resistor symbol\"},\n {\"box_2d\": [376, 376, 428, 444], \"label\": \"resistor symbol\"},\n {\"box_2d\": [171, 471, 305, 531], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [571, 465, 715, 521], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [381, 560, 440, 642], \"label\": \"resistor symbol\"},\n {\"box_2d\": [529, 670, 691, 692], \"label\": \"resistor symbol\"},\n {\"box_2d\": [602, 808, 729, 859], \"label\": \"dc current source symbol\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 304, "elapsed_seconds": 21.005742499954067, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 21.1093}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 150, "image": "Lego_131_low_jpeg.rf.be14ef4b77b52f77c1ed45c59ee5b3a4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [757, 787,, 860, 882], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [814, 730,, 879, 822], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [788, 424,, 867, 514], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [745, 597,, 833, 678], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [715, 386,, 795, 469], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [680, 439,, 765, 526], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [659, 342,, 718, 449], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [597, 368,, 663, 457], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [517, 329,, 598, 405], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [437, 281,, 537, 357], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [373, 267,, 467, 331], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [514, 160,, 599, 262], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [636, 189,, 705, 297], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [699, 171,, 766, 278], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [812, 261,, 906, 373], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [274, 507,, 353, 596], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [248, 229,, 338, 318], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [226, 309,, 305, 425], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [125, 275,, 211, 391], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [145, 146,, 219, 253], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [188, 34,, 289, 150], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [41, 439,, 138, 551], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [64, 616,, 155, 694], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [149, 622,, 236, 695], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [0, 730,, 70, 795], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [250, 651,, 326, 746], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [183, 930,, 286, 985], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [351, 685,, 449, 746], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [373, 728,, 476, 807], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [449, 526,, 495, 629], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [468, 746,, 569, 832], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [441, 800,, 541, 891], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [533, 816,, 601, 896], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [687, 916,, 785, 999], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [457, 945,, 546, 1000], \"label\": \"lego 4x1 brick\"}\n]\n```", "correct": false, "input_tokens": 1244, "output_tokens": 1407, "elapsed_seconds": 45.93293541693129, "metadata": {"match_method": "map", "num_predictions": 0, "num_ground_truth": 35, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 46.0213}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 151, "image": "IMG_6677_jpeg_jpg.rf.66bd4292eb85ae8da61a8cef3e3384f8.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [540, 54, 608, 250], \"label\": \"green poker chip\"},\n {\"box_2d\": [535, 312, 607, 492], \"label\": \"orange poker chip\"},\n {\"box_2d\": [525, 297, 587, 483], \"label\": \"orange poker chip\"},\n {\"box_2d\": [504, 298, 562, 482], \"label\": \"orange poker chip\"},\n {\"box_2d\": [489, 297, 544, 480], \"label\": \"orange poker chip\"},\n {\"box_2d\": [468, 298, 526, 488], \"label\": \"orange poker chip\"},\n {\"box_2d\": [455, 298, 510, 488], \"label\": \"orange poker chip\"},\n {\"box_2d\": [434, 297, 492, 491], \"label\": \"orange poker chip\"},\n {\"box_2d\": [423, 297, 474, 491], \"label\": \"orange poker chip\"},\n {\"box_2d\": [368, 291, 455, 489], \"label\": \"orange poker chip\"},\n {\"box_2d\": [531, 521, 614, 715], \"label\": \"orange poker chip\"},\n {\"box_2d\": [498, 524, 581, 709], \"label\": \"orange poker chip\"},\n {\"box_2d\": [462, 533, 560, 720], \"label\": \"orange poker chip\"},\n {\"box_2d\": [525, 727, 602, 932], \"label\": \"green poker chip\"},\n {\"box_2d\": [499, 718, 580, 920], \"label\": \"green poker chip\"},\n {\"box_2d\": [450, 708, 542, 901], \"label\": \"green poker chip\"},\n {\"box_2d\": [373, 30, 461, 244], \"label\": \"green poker chip\"},\n {\"box_2d\": [402, 56, 477, 255], \"label\": \"green poker chip\"},\n {\"box_2d\": [422, 51, 493, 259], \"label\": \"green poker chip\"},\n {\"box_2d\": [452, 51, 510, 255], \"label\": \"green poker chip\"},\n {\"box_2d\": [465, 51, 523, 255], \"label\": \"green poker chip\"},\n {\"box_2d\": [478, 54, 541, 255], \"label\": \"green poker chip\"},\n {\"box_2d\": [496, 53, 559, 253], \"label\": \"green poker chip\"},\n {\"box_2d\": [513, 56, 575, 252], \"label\": \"green poker chip\"},\n {\"box_2d\": [523, 56, 590, 255], \"label\": \"green poker chip\"}\n]\n```", "correct": true, "input_tokens": 1231, "output_tokens": 902, "elapsed_seconds": 16.20702125004027, "metadata": {"match_method": "map", "num_predictions": 25, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9603960514068604, "attempts": 1, "retries": 0, "total_seconds": 16.232}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 152, "image": "indir-1-_jpeg_jpg.rf.8d614705afcf35f2ac222aa7d9e608ff.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [749, 196, 795, 270], \"label\": \"dimension annotation\"},\n {\"box_2d\": [761, 138, 799, 187], \"label\": \"dimension annotation\"},\n {\"box_2d\": [727, 736, 756, 759], \"label\": \"dimension annotation\"},\n {\"box_2d\": [727, 785, 823, 807], \"label\": \"dimension annotation\"},\n {\"box_2d\": [798, 738, 823, 759], \"label\": \"dimension annotation\"},\n {\"box_2d\": [767, 613, 785, 672], \"label\": \"dimension annotation\"},\n {\"box_2d\": [850, 628, 867, 754], \"label\": \"dimension annotation\"},\n {\"box_2d\": [850, 317, 867, 426], \"label\": \"dimension annotation\"},\n {\"box_2d\": [682, 340, 700, 531], \"label\": \"dimension annotation\"},\n {\"box_2d\": [565, 160, 646, 307], \"label\": \"dimension annotation\"},\n {\"box_2d\": [429, 155, 513, 287], \"label\": \"dimension annotation\"},\n {\"box_2d\": [447, 626, 502, 725], \"label\": \"dimension annotation\"},\n {\"box_2d\": [612, 653, 660, 748], \"label\": \"dimension annotation\"},\n {\"box_2d\": [776, 700, 815, 723], \"label\": \"dimension annotation\"},\n {\"box_2d\": [914, 208, 984, 976], \"label\": \"technical drawing table\"}\n]\n```", "correct": false, "input_tokens": 1233, "output_tokens": 538, "elapsed_seconds": 8.520193584030494, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5247524380683899, "attempts": 1, "retries": 0, "total_seconds": 8.5354}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 153, "image": "1217_4_jpg.rf.834d702ab7cd425111d5c60612f66627.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [4, 37, 108, 128], \"label\": \"black rook\"},\n {\"box_2d\": [26, 134, 118, 240], \"label\": \"black knight\"},\n {\"box_2d\": [17, 286, 117, 375], \"label\": \"black bishop\"},\n {\"box_2d\": [0, 405, 121, 492], \"label\": \"black king\"},\n {\"box_2d\": [2, 526, 121, 611], \"label\": \"black queen\"},\n {\"box_2d\": [26, 654, 129, 742], \"label\": \"black bishop\"},\n {\"box_2d\": [5, 769, 113, 879], \"label\": \"black knight\"},\n {\"box_2d\": [14, 899, 114, 999], \"label\": \"black rook\"},\n {\"box_2d\": [162, 34, 234, 113], \"label\": \"black pawn\"},\n {\"box_2d\": [163, 181, 234, 252], \"label\": \"black pawn\"},\n {\"box_2d\": [159, 286, 231, 357], \"label\": \"black pawn\"},\n {\"box_2d\": [172, 412, 244, 483], \"label\": \"black pawn\"},\n {\"box_2d\": [169, 544, 241, 616], \"label\": \"black pawn\"},\n {\"box_2d\": [165, 651, 238, 722], \"label\": \"black pawn\"},\n {\"box_2d\": [162, 764, 234, 835], \"label\": \"black pawn\"},\n {\"box_2d\": [151, 892, 223, 972], \"label\": \"black pawn\"},\n {\"box_2d\": [771, 18, 845, 97], \"label\": \"white pawn\"},\n {\"box_2d\": [772, 159, 845, 231], \"label\": \"white pawn\"},\n {\"box_2d\": [765, 278, 838, 350], \"label\": \"white pawn\"},\n {\"box_2d\": [768, 396, 843, 469], \"label\": \"white pawn\"},\n {\"box_2d\": [757, 498, 831, 569], \"label\": \"white pawn\"},\n {\"box_2d\": [772, 651, 846, 723], \"label\": \"white pawn\"},\n {\"box_2d\": [757, 773, 829, 848], \"label\": \"white pawn\"},\n {\"box_2d\": [754, 876, 828, 956], \"label\": \"white pawn\"},\n {\"box_2d\": [880, 12, 980, 108], \"label\": \"white rook\"},\n {\"box_2d\": [888, 124, 985, 232], \"label\": \"white knight\"},\n {\"box_2d\": [885, 276, 989, 366], \"label\": \"white bishop\"},\n {\"box_2d\": [871, 389, 995, 477], \"label\": \"white king\"},\n {\"box_2d\": [878, 515, 998, 601], \"label\": \"white queen\"},\n {\"box_2d\": [874, 634, 975, 723], \"label\": \"white bishop\"},\n {\"box_2d\": [891, 764, 984, 868], \"label\": \"white knight\"},\n {\"box_2d\": [875, 887, 977, 988], \"label\": \"white rook\"}\n]\n```", "correct": true, "input_tokens": 1259, "output_tokens": 1115, "elapsed_seconds": 40.903985917102545, "metadata": {"match_method": "map", "num_predictions": 32, "num_ground_truth": 32, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 41.1889}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 154, "image": "123_jpg.rf.dd57cefde1b1d657a6704903a0c29594.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [171, 326, 200, 377], \"label\": \"resistor symbol\"},\n {\"box_2d\": [164, 624, 190, 686], \"label\": \"resistor symbol\"},\n {\"box_2d\": [276, 208, 349, 244], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [266, 441, 335, 474], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [230, 805, 321, 848], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [456, 326, 487, 374], \"label\": \"resistor symbol\"},\n {\"box_2d\": [447, 656, 480, 704], \"label\": \"resistor symbol\"},\n {\"box_2d\": [610, 216, 684, 236], \"label\": \"resistor symbol\"},\n {\"box_2d\": [596, 834, 663, 849], \"label\": \"resistor symbol\"},\n {\"box_2d\": [637, 447, 720, 493], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [829, 623, 855, 678], \"label\": \"resistor symbol\"},\n {\"box_2d\": [819, 312, 903, 358], \"label\": \"dc voltage source symbol\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 449, "elapsed_seconds": 7.209288832964376, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 7.222}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 155, "image": "Container_799_jpg.rf.18c1df3db98a6063d7285fb7c0ffd780.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [224, 804, 263, 945], \"label\": \"shipping container number\"},\n {\"box_2d\": [271, 865, 302, 904], \"label\": \"container ISO type code\"},\n {\"box_2d\": [134, 349, 287, 367], \"label\": \"container ISO type code\"},\n {\"box_2d\": [146, 304, 566, 326], \"label\": \"shipping container number\"}\n]\n```", "correct": true, "input_tokens": 1232, "output_tokens": 158, "elapsed_seconds": 9.171019459026866, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 9.1892}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 156, "image": "08fd33_0_1_png_jpg.rf.49b1ec7a3f580266e0267dce06883980.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [461, 147, 502, 158], \"label\": \"goalkeeper\"},\n {\"box_2d\": [416, 250, 452, 260], \"label\": \"player\"},\n {\"box_2d\": [341, 439, 369, 448], \"label\": \"player\"},\n {\"box_2d\": [376, 488, 411, 498], \"label\": \"referee\"},\n {\"box_2d\": [374, 532, 404, 541], \"label\": \"player\"},\n {\"box_2d\": [397, 508, 431, 517], \"label\": \"player\"},\n {\"box_2d\": [441, 492, 478, 504], \"label\": \"player\"},\n {\"box_2d\": [478, 431, 526, 443], \"label\": \"player\"},\n {\"box_2d\": [524, 408, 560, 421], \"label\": \"player\"},\n {\"box_2d\": [612, 429, 661, 441], \"label\": \"player\"},\n {\"box_2d\": [399, 606, 433, 616], \"label\": \"player\"},\n {\"box_2d\": [350, 627, 378, 636], \"label\": \"player\"},\n {\"box_2d\": [371, 631, 403, 640], \"label\": \"player\"},\n {\"box_2d\": [387, 660, 422, 670], \"label\": \"player\"},\n {\"box_2d\": [416, 623, 452, 634], \"label\": \"player\"},\n {\"box_2d\": [418, 646, 454, 657], \"label\": \"player\"},\n {\"box_2d\": [448, 617, 490, 626], \"label\": \"player\"},\n {\"box_2d\": [504, 627, 544, 637], \"label\": \"player\"},\n {\"box_2d\": [465, 706, 510, 720], \"label\": \"player\"},\n {\"box_2d\": [598, 680, 651, 694], \"label\": \"player\"},\n {\"box_2d\": [572, 774, 611, 786], \"label\": \"player\"},\n {\"box_2d\": [631, 838, 682, 851], \"label\": \"player\"},\n {\"box_2d\": [644, 825, 702, 843], \"label\": \"referee\"},\n {\"box_2d\": [401, 904, 443, 918], \"label\": \"goalkeeper\"},\n {\"box_2d\": [607, 340, 618, 345], \"label\": \"football\"},\n {\"box_2d\": [297, 325, 323, 333], \"label\": \"referee\"}\n]\n```", "correct": true, "input_tokens": 1242, "output_tokens": 901, "elapsed_seconds": 10.732695249957033, "metadata": {"match_method": "map", "num_predictions": 26, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 10.857}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 157, "image": "Lego_122_low_jpeg.rf.ea0402c215977271fc16971fe6cad37a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [77, 192, 155, 309], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [138, 364, 246, 443], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [188, 464, 285, 575], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [215, 593, 314, 648], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [100, 650, 211, 748], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [96, 833, 198, 935], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [60, 777, 154, 860], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [268, 315, 355, 408], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [348, 321, 444, 383], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [342, 183, 436, 261], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [378, 55, 460, 161], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [508, 134, 597, 253], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [785, 188, 870, 285], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [627, 402, 710, 479], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [710, 389, 813, 480], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [710, 452, 795, 536], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [750, 551, 827, 608], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [340, 473, 444, 554], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [553, 538, 640, 626], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [554, 627, 625, 712], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [609, 688, 689, 740], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [374, 680, 462, 766], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [334, 748, 438, 827], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [326, 938, 425, 1000], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [600, 913, 675, 965], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [636, 741, 709, 842], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [692, 780, 784, 850], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [679, 825, 764, 930], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [779, 875, 862, 933], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [761, 945, 857, 1000], \"label\": \"lego 4x1 brick\"}\n]\n```", "correct": false, "input_tokens": 1244, "output_tokens": 1180, "elapsed_seconds": 18.2030952910427, "metadata": {"match_method": "map", "num_predictions": 30, "num_ground_truth": 30, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7091309428215027, "attempts": 1, "retries": 0, "total_seconds": 18.3112}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 158, "image": "20230220_110126_jpg.rf.9dd19de1f35f973245770a80a67f5a86.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [470, 39, 491, 130], \"label\": \"crack\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 45, "elapsed_seconds": 4.77214625000488, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 4.794}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 159, "image": "20230224_102553_jpg.rf.405f8900643fe92cf5dde61e03ca7cd9.jpg", "expected": "", "predicted": "```json\n[{\"box_2d\": [596, 815, 709, 914], \"label\": \"crack\"}]```", "correct": true, "input_tokens": 1225, "output_tokens": 40, "elapsed_seconds": 2.619982708012685, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 2.6416}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 160, "image": "40_jpg.rf.9c5565949caf7c10eef3c765c461dcc3.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [36, 161, 355, 217], \"label\": \"blood sample tube\"},\n {\"box_2d\": [205, 167, 517, 261], \"label\": \"blood sample tube\"},\n {\"box_2d\": [389, 152, 694, 272], \"label\": \"blood sample tube\"},\n {\"box_2d\": [150, 256, 466, 336], \"label\": \"blood sample tube\"},\n {\"box_2d\": [36, 319, 158, 548], \"label\": \"blood sample tube\"},\n {\"box_2d\": [30, 503, 94, 742], \"label\": \"blood sample tube\"},\n {\"box_2d\": [83, 597, 159, 845], \"label\": \"blood sample tube\"},\n {\"box_2d\": [72, 841, 405, 895], \"label\": \"blood sample tube\"},\n {\"box_2d\": [145, 886, 472, 938], \"label\": \"blood sample tube\"},\n {\"box_2d\": [144, 478, 466, 533], \"label\": \"blood sample tube\"},\n {\"box_2d\": [138, 534, 444, 667], \"label\": \"blood sample tube\"},\n {\"box_2d\": [197, 581, 430, 788], \"label\": \"blood sample tube\"},\n {\"box_2d\": [264, 767, 558, 927], \"label\": \"blood sample tube\"},\n {\"box_2d\": [384, 550, 503, 795], \"label\": \"blood sample tube\"},\n {\"box_2d\": [430, 594, 547, 839], \"label\": \"blood sample tube\"},\n {\"box_2d\": [512, 691, 648, 945], \"label\": \"blood sample tube\"},\n {\"box_2d\": [556, 666, 709, 912], \"label\": \"blood sample tube\"},\n {\"box_2d\": [602, 616, 738, 861], \"label\": \"blood sample tube\"},\n {\"box_2d\": [611, 480, 731, 730], \"label\": \"blood sample tube\"},\n {\"box_2d\": [670, 491, 739, 736], \"label\": \"blood sample tube\"},\n {\"box_2d\": [392, 372, 570, 600], \"label\": \"blood sample tube\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 762, "elapsed_seconds": 8.660656958003528, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 21, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 8.6906}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 161, "image": "car-part-detection_Car-damages-765_png_jpg.rf.98f80e9f33638af692acb0b18adddcfd.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [500, 502, 620, 742], \"label\": \"headlight\"},\n {\"box_2d\": [290, 206, 355, 326], \"label\": \"mirror\"},\n {\"box_2d\": [132, 315, 344, 675], \"label\": \"windshield\"},\n {\"box_2d\": [251, 389, 551, 909], \"label\": \"hood\"},\n {\"box_2d\": [144, 212, 316, 310], \"label\": \"front window\"},\n {\"box_2d\": [137, 151, 290, 213], \"label\": \"back window\"},\n {\"box_2d\": [137, 179, 639, 341], \"label\": \"front door\"},\n {\"box_2d\": [137, 108, 520, 224], \"label\": \"back door\"},\n {\"box_2d\": [465, 458, 895, 932], \"label\": \"front bumper\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 325, "elapsed_seconds": 7.677124458015896, "metadata": {"match_method": "map", "num_predictions": 9, "num_ground_truth": 13, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7281727194786072, "attempts": 1, "retries": 0, "total_seconds": 7.6952}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 162, "image": "frame_0089_jpg.rf.c7cd5f3b9d3ee6d5f30b8357b148d8d4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [238, 325, 278, 350], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [248, 381, 293, 409], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [258, 442, 303, 469], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [281, 502, 323, 529], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [336, 314, 381, 338], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [351, 371, 399, 398], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [363, 431, 410, 459], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [383, 493, 432, 521], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [443, 306, 491, 331], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [461, 365, 511, 392], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [474, 425, 524, 453], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [496, 488, 545, 516], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [918, 292, 966, 317], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [930, 352, 978, 379], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [942, 415, 991, 442], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [949, 481, 997, 507], \"label\": \"soda bottle cap\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 588, "elapsed_seconds": 41.216619792045094, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 41.7747}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 163, "image": "IMG_5103_JPG.rf.05aa0caa3f6431dd232e7223cc79a35a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [592, 270, 657, 300], \"label\": \"face\"},\n {\"box_2d\": [639, 323, 697, 353], \"label\": \"face\"},\n {\"box_2d\": [686, 401, 756, 444], \"label\": \"face\"},\n {\"box_2d\": [368, 404, 396, 419], \"label\": \"face\"},\n {\"box_2d\": [362, 386, 390, 398], \"label\": \"face\"},\n {\"box_2d\": [356, 351, 386, 367], \"label\": \"face\"},\n {\"box_2d\": [417, 539, 449, 557], \"label\": \"face\"},\n {\"box_2d\": [425, 574, 456, 591], \"label\": \"face\"},\n {\"box_2d\": [438, 619, 469, 636], \"label\": \"face\"},\n {\"box_2d\": [457, 771, 490, 787], \"label\": \"face\"},\n {\"box_2d\": [434, 712, 463, 728], \"label\": \"face\"},\n {\"box_2d\": [425, 687, 457, 703], \"label\": \"face\"},\n {\"box_2d\": [416, 646, 451, 665], \"label\": \"face\"},\n {\"box_2d\": [395, 605, 424, 622], \"label\": \"face\"},\n {\"box_2d\": [391, 560, 418, 577], \"label\": \"face\"},\n {\"box_2d\": [373, 604, 398, 617], \"label\": \"face\"},\n {\"box_2d\": [381, 667, 407, 681], \"label\": \"face\"},\n {\"box_2d\": [371, 714, 395, 727], \"label\": \"face\"},\n {\"box_2d\": [334, 755, 360, 769], \"label\": \"face\"},\n {\"box_2d\": [332, 720, 358, 732], \"label\": \"face\"},\n {\"box_2d\": [332, 699, 361, 711], \"label\": \"face\"},\n {\"box_2d\": [364, 678, 393, 692], \"label\": \"face\"},\n {\"box_2d\": [324, 661, 352, 675], \"label\": \"face\"},\n {\"box_2d\": [338, 649, 367, 663], \"label\": \"face\"},\n {\"box_2d\": [319, 634, 345, 645], \"label\": \"face\"},\n {\"box_2d\": [374, 628, 398, 642], \"label\": \"face\"},\n {\"box_2d\": [298, 608, 323, 620], \"label\": \"face\"},\n {\"box_2d\": [341, 616, 366, 629], \"label\": \"face\"},\n {\"box_2d\": [330, 501, 356, 515], \"label\": \"face\"},\n {\"box_2d\": [317, 528, 347, 542], \"label\": \"face\"},\n {\"box_2d\": [292, 550, 322, 564], \"label\": \"face\"},\n {\"box_2d\": [288, 522, 319, 535], \"label\": \"face\"},\n {\"box_2d\": [317, 402, 341, 417], \"label\": \"face\"},\n {\"box_2d\": [326, 444, 353, 460], \"label\": \"face\"},\n {\"box_2d\": [289, 441, 315, 452], \"label\": \"face\"},\n {\"box_2d\": [284, 419, 307, 431], \"label\": \"face\"},\n {\"box_2d\": [269, 470, 294, 482], \"label\": \"face\"},\n {\"box_2d\": [260, 483, 287, 495], \"label\": \"face\"},\n {\"box_2d\": [308, 537, 336, 549], \"label\": \"face\"},\n {\"box_2d\": [297, 497, 322, 511], \"label\": \"face\"},\n {\"box_2d\": [326, 471, 352, 484], \"label\": \"face\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 1406, "elapsed_seconds": 29.317276749992743, "metadata": {"match_method": "map", "num_predictions": 41, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.19990570843219757, "attempts": 1, "retries": 0, "total_seconds": 29.7884}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 164, "image": "fall-detection_camerathree-second_mp4-114_jpg.rf.8d4ab219233d1b243e3602fc397d1bfa.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [581, 358, 678, 588], \"label\": \"fallen person\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 47, "elapsed_seconds": 25.901602374971844, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 25.9181}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 165, "image": "lot301_JPEG_jpg.rf.190ac2533508d09b091e542956d526a5.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [779, 531, 811, 567], \"label\": \"chicory seed\"},\n {\"box_2d\": [329, 767, 353, 811], \"label\": \"chicory seed\"},\n {\"box_2d\": [737, 290, 756, 305], \"label\": \"chicory seed\"},\n {\"box_2d\": [332, 353, 360, 386], \"label\": \"chicory seed\"},\n {\"box_2d\": [368, 286, 400, 319], \"label\": \"chicory seed\"},\n {\"box_2d\": [540, 385, 570, 429], \"label\": \"chicory seed\"},\n {\"box_2d\": [553, 755, 588, 774], \"label\": \"chicory seed\"},\n {\"box_2d\": [469, 469, 495, 502], \"label\": \"chicory seed\"},\n {\"box_2d\": [657, 773, 678, 813], \"label\": \"chicory seed\"},\n {\"box_2d\": [496, 150, 529, 174], \"label\": \"chicory seed\"},\n {\"box_2d\": [445, 321, 487, 355], \"label\": \"chicory seed\"},\n {\"box_2d\": [380, 646, 401, 686], \"label\": \"chicory seed\"},\n {\"box_2d\": [666, 353, 691, 391], \"label\": \"chicory seed\"},\n {\"box_2d\": [555, 653, 585, 677], \"label\": \"chicory seed\"},\n {\"box_2d\": [389, 198, 423, 236], \"label\": \"chicory seed\"},\n {\"box_2d\": [715, 763, 735, 804], \"label\": \"chicory seed\"},\n {\"box_2d\": [699, 745, 719, 783], \"label\": \"chicory seed\"},\n {\"box_2d\": [699, 600, 725, 639], \"label\": \"chicory seed\"},\n {\"box_2d\": [210, 408, 229, 449], \"label\": \"chicory seed\"},\n {\"box_2d\": [472, 805, 502, 838], \"label\": \"chicory seed\"},\n {\"box_2d\": [317, 738, 355, 761], \"label\": \"chicory seed\"},\n {\"box_2d\": [694, 468, 724, 504], \"label\": \"chicory seed\"},\n {\"box_2d\": [553, 178, 584, 211], \"label\": \"chicory seed\"},\n {\"box_2d\": [423, 185, 466, 211], \"label\": \"chicory seed\"},\n {\"box_2d\": [454, 423, 499, 449], \"label\": \"chicory seed\"},\n {\"box_2d\": [393, 305, 425, 338], \"label\": \"chicory seed\"},\n {\"box_2d\": [377, 178, 412, 220], \"label\": \"chicory seed\"},\n {\"box_2d\": [660, 196, 687, 234], \"label\": \"chicory seed\"},\n {\"box_2d\": [306, 213, 339, 245], \"label\": \"chicory seed\"},\n {\"box_2d\": [368, 747, 386, 792], \"label\": \"chicory seed\"},\n {\"box_2d\": [313, 585, 339, 623], \"label\": \"chicory seed\"},\n {\"box_2d\": [726, 272, 756, 306], \"label\": \"chicory seed\"},\n {\"box_2d\": [700, 294, 726, 314], \"label\": \"chicory seed\"},\n {\"box_2d\": [790, 580, 813, 623], \"label\": \"chicory seed\"},\n {\"box_2d\": [498, 710, 521, 744], \"label\": \"chicory seed\"},\n {\"box_2d\": [512, 705, 545, 740], \"label\": \"chicory seed\"},\n {\"box_2d\": [607, 195, 628, 232], \"label\": \"chicory seed\"},\n {\"box_2d\": [712, 250, 731, 293], \"label\": \"chicory seed\"},\n {\"box_2d\": [489, 817, 520, 847], \"label\": \"chicory seed\"},\n {\"box_2d\": [520, 388, 543, 429], \"label\": \"chicory seed\"},\n {\"box_2d\": [275, 729, 313, 749], \"label\": \"chicory seed\"},\n {\"box_2d\": [336, 513, 377, 535], \"label\": \"chicory seed\"},\n {\"box_2d\": [617, 169, 654, 191], \"label\": \"chicory seed\"},\n {\"box_2d\": [519, 661, 550, 686], \"label\": \"chicory seed\"},\n {\"box_2d\": [377, 491, 419, 515], \"label\": \"chicory seed\"},\n {\"box_2d\": [623, 312, 664, 335], \"label\": \"chicory seed\"},\n {\"box_2d\": [822, 456, 850, 494], \"label\": \"chicory seed\"},\n {\"box_2d\": [506, 360, 533, 401], \"label\": \"chicory seed\"},\n {\"box_2d\": [506, 337, 544, 361], \"label\": \"chicory seed\"},\n {\"box_2d\": [499, 672, 540, 699], \"label\": \"chicory seed\"},\n {\"box_2d\": [644, 728, 682, 754], \"label\": \"chicory seed\"},\n {\"box_2d\": [513, 297, 548, 336], \"label\": \"chicory seed\"},\n {\"box_2d\": [614, 672, 653, 691], \"label\": \"chicory seed\"},\n {\"box_2d\": [230, 392, 255, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [306, 608, 342, 623], \"label\": \"chicory seed\"},\n {\"box_2d\": [380, 511, 419, 535], \"label\": \"chicory seed\"},\n {\"box_2d\": [779, 300, 796, 343], \"label\": \"chicory seed\"},\n {\"box_2d\": [489, 316, 509, 355], \"label\": \"chicory seed\"},\n {\"box_2d\": [685, 650, 713, 686], \"label\": \"chicory seed\"},\n {\"box_2d\": [666, 270, 703, 296], \"label\": \"chicory seed\"},\n {\"box_2d\": [473, 567, 500, 605], \"label\": \"chicory seed\"},\n {\"box_2d\": [412, 234, 444, 271], \"label\": \"chicory seed\"},\n {\"box_2d\": [645, 386, 682, 409], \"label\": \"chicory seed\"},\n {\"box_2d\": [343, 694, 378, 725], \"label\": \"chicory seed\"},\n {\"box_2d\": [440, 297, 476, 319], \"label\": \"chicory seed\"},\n {\"box_2d\": [483, 749, 502, 786], \"label\": \"chicory seed\"},\n {\"box_2d\": [699, 438, 731, 466], \"label\": \"chicory seed\"},\n {\"box_2d\": [416, 639, 437, 681], \"label\": \"chicory seed\"},\n {\"box_2d\": [347, 535, 369, 577], \"label\": \"chicory seed\"},\n {\"box_2d\": [674, 408, 696, 449], \"label\": \"chicory seed\"},\n {\"box_2d\": [562, 281, 581, 319], \"label\": \"chicory seed\"},\n {\"box_2d\": [731, 326, 761, 361], \"label\": \"chicory seed\"},\n {\"box_2d\": [670, 211, 695, 250], \"label\": \"chicory seed\"},\n {\"box_2d\": [485, 278, 526, 307], \"label\": \"chicory seed\"},\n {\"box_2d\": [592, 694, 624, 725], \"label\": \"chicory seed\"},\n {\"box_2d\": [284, 707, 320, 734], \"label\": \"chicory seed\"},\n {\"box_2d\": [786, 333, 811, 376], \"label\": \"chicory seed\"},\n {\"box_2d\": [644, 685, 682, 713], \"label\": \"chicory seed\"},\n {\"box_2d\": [315, 338, 342, 379], \"label\": \"chicory seed\"},\n {\"box_2d\": [267, 661, 294, 699], \"label\": \"chicory seed\"},\n {\"box_2d\": [715, 351, 743, 386], \"label\": \"chicory seed\"},\n {\"box_2d\": [512, 224, 549, 256], \"label\": \"chicory seed\"},\n {\"box_2d\": [365, 720, 402, 749], \"label\": \"chicory seed\"},\n {\"box_2d\": [573, 576, 599, 610], \"label\": \"chicory seed\"},\n {\"box_2d\": [630, 365, 665, 386], \"label\": \"chicory seed\"},\n {\"box_2d\": [294, 694, 330, 721], \"label\": \"chicory seed\"},\n {\"box_2d\": [454, 531, 480, 574], \"label\": \"chicory seed\"},\n {\"box_2d\": [639, 187, 668, 224], \"label\": \"chicory seed\"},\n {\"box_2d\": [531, 238, 570, 267], \"label\": \"chicory seed\"},\n {\"box_2d\": [336, 713, 370, 744], \"label\": \"chicory seed\"},\n {\"box_2d\": [699, 320, 734, 349], \"label\": \"chicory seed\"},\n {\"box_2d\": [275, 646, 307, 681], \"label\": \"chicory seed\"},\n {\"box_2d\": [540, 517, 566, 557], \"label\": \"chicory seed\"},\n {\"box_2d\": [359, 165, 396, 190], \"label\": \"chicory seed\"},\n {\"box_2d\": [817, 531, 850, 555], \"label\": \"chicory seed\"},\n {\"box_2d\": [501, 749, 521, 789], \"label\": \"chicory seed\"},\n {\"box_2d\": [592, 650, 611, 691], \"label\": \"chicory seed\"},\n {\"box_2d\": [422, 286, 452, 326], \"label\": \"chicory seed\"},\n {\"box_2d\": [774, 480, 807, 511], \"label\": \"chicory seed\"},\n {\"box_2d\": [535, 211, 575, 236], \"label\": \"chicory seed\"},\n {\"box_2d\": [469, 369, 509, 398], \"label\": \"chicory seed\"},\n {\"box_2d\": [459, 694, 495, 713], \"label\": \"chicory seed\"},\n {\"box_2d\": [393, 705, 434, 728], \"label\": \"chicory seed\"},\n {\"box_2d\": [694, 211, 716, 250], \"label\": \"chicory seed\"},\n {\"box_2d\": [804, 481, 835, 511], \"label\": \"chicory seed\"},\n {\"box_2d\": [427, 472, 449, 511], \"label\": \"chicory seed\"},\n {\"box_2d\": [806, 361, 834, 401], \"label\": \"chicory seed\"},\n {\"box_2d\": [438, 361, 464, 401], \"label\": \"chicory seed\"},\n {\"box_2d\": [765, 699, 801, 731], \"label\": \"chicory seed\"},\n {\"box_2d\": [520, 741, 548, 777], \"label\": \"chicory seed\"},\n {\"box_2d\": [278, 749, 304, 785], \"label\": \"chicory seed\"},\n {\"box_2d\": [306, 750, 342, 770], \"label\": \"chicory seed\"},\n {\"box_2d\": [806, 398, 835, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [592, 600, 628, 623], \"label\": \"chicory seed\"},\n {\"box_2d\": [357, 468, 393, 498], \"label\": \"chicory seed\"},\n {\"box_2d\": [416, 398, 442, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [375, 600, 408, 634], \"label\": \"chicory seed\"},\n {\"box_2d\": [414, 434, 452, 458], \"label\": \"chicory seed\"},\n {\"box_2d\": [454, 229, 491, 256], \"label\": \"chicory seed\"},\n {\"box_2d\": [414, 577, 442, 610], \"label\": \"chicory seed\"},\n {\"box_2d\": [746, 365, 772, 403], \"label\": \"chicory seed\"},\n {\"box_2d\": [357, 637, 377, 674], \"label\": \"chicory seed\"},\n {\"box_2d\": [660, 750, 696, 774], \"label\": \"chicory seed\"},\n {\"box_2d\": [553, 615, 581, 650], \"label\": \"chicory seed\"},\n {\"box_2d\": [347, 763, 370, 805], \"label\": \"chicory seed\"},\n {\"box_2d\": [581, 297, 617, 322], \"label\": \"chicory seed\"},\n {\"box_2d\": [685, 369, 716, 405], \"label\": \"chicory seed\"},\n {\"box_2d\": [721, 585, 744, 623], \"label\": \"chicory seed\"},\n {\"box_2d\": [560, 544, 592, 574], \"label\": \"chicory seed\"},\n {\"box_2d\": [731, 469, 767, 502], \"label\": \"chicory seed\"},\n {\"box_2d\": [550, 590, 584, 623], \"label\": \"chicory seed\"},\n {\"box_2d\": [806, 547, 845, 574], \"label\": \"chicory seed\"},\n {\"box_2d\": [553, 725, 592, 755], \"label\": \"chicory seed\"},\n {\"box_2d\": [716, 300, 754, 324], \"label\": \"chicory seed\"},\n {\"box_2d\": [721, 741, 755, 770], \"label\": \"chicory seed\"},\n {\"box_2d\": [573, 365, 604, 401], \"label\": \"chicory seed\"},\n {\"box_2d\": [566, 401, 604, 429], \"label\": \"chicory seed\"},\n {\"box_2d\": [459, 600, 491, 634], \"label\": \"chicory seed\"},\n {\"box_2d\": [637, 232, 668, 267], \"label\": \"chicory seed\"},\n {\"box_2d\": [674, 456, 694, 498], \"label\": \"chicory seed\"},\n {\"box_2d\": [715, 385, 735, 425], \"label\": \"chicory seed\"},\n {\"box_2d\": [660, 517, 687, 557], \"label\": \"chicory seed\"},\n {\"box_2d\": [461, 720, 495, 750], \"label\": \"chicory seed\"},\n {\"box_2d\": [617, 218, 645, 259], \"label\": \"chicory seed\"},\n {\"box_2d\": [275, 319, 315, 342], \"label\": \"chicory seed\"},\n {\"box_2d\": [393, 691, 429, 710], \"label\": \"chicory seed\"},\n {\"box_2d\": [630, 338, 670, 365], \"label\": \"chicory seed\"},\n {\"box_2d\": [617, 600, 645, 639], \"label\": \"chicory seed\"},\n {\"box_2d\": [746, 342, 786, 365], \"label\": \"chicory seed\"},\n {\"box_2d\": [336, 580, 362, 618], \"label\": \"chicory seed\"},\n {\"box_2d\": [750, 491, 774, 529], \"label\": \"chicory seed\"},\n {\"box_2d\": [774, 442, 799, 480], \"label\": \"chicory seed\"},\n {\"box_2d\": [473, 408, 515, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [790, 640, 825, 674], \"label\": \"chicory seed\"},\n {\"box_2d\": [456, 250, 491, 281], \"label\": \"chicory seed\"},\n {\"box_2d\": [750, 524, 792, 550], \"label\": \"chicory seed\"},\n {\"box_2d\": [377, 336, 400, 376], \"label\": \"chicory seed\"},\n {\"box_2d\": [666, 585, 704, 615], \"label\": \"chicory seed\"},\n {\"box_2d\": [489, 592, 509, 634], \"label\": \"chicory seed\"},\n {\"box_2d\": [755, 290, 782, 331], \"label\": \"chicory seed\"},\n {\"box_2d\": [459, 297, 499, 319], \"label\": \"chicory seed\"},\n {\"box_2d\": [375, 220, 409, 256], \"label\": \"chicory seed\"},\n {\"box_2d\": [419, 165, 459, 196], \"label\": \"chicory seed\"},\n {\"box_2d\": [454, 381, 473, 423], \"label\": \"chicory seed\"},\n {\"box_2d\": [438, 547, 469, 585], \"label\": \"chicory seed\"},\n {\"box_2d\": [452, 502, 481, 535], \"label\": \"chicory seed\"},\n {\"box_2d\": [599, 728, 623, 770], \"label\": \"chicory seed\"},\n {\"box_2d\": [637, 524, 660, 567], \"label\": \"chicory seed\"},\n {\"box_2d\": [708, 519, 750, 544], \"label\": \"chicory seed\"},\n {\"box_2d\": [480, 524, 502, 567], \"label\": \"chicory seed\"},\n {\"box_2d\": [737, 434, 761, 474], \"label\": \"chicory seed\"},\n {\"box_2d\": [377, 376, 416, 398], \"label\": \"chicory seed\"},\n {\"box_2d\": [540, 360, 581, 385], \"label\": \"chicory seed\"},\n {\"box_2d\": [315, 657, 353, 686], \"label\": \"chicory seed\"},\n {\"box_2d\": [485, 181, 526, 205], \"label\": \"chicory seed\"},\n {\"box_2d\": [357, 592, 380, 631], \"label\": \"chicory seed\"},\n {\"box_2d\": [357, 259, 384, 297], \"label\": \"chicory seed\"},\n {\"box_2d\": [668, 686, 699, 725], \"label\": \"chicory seed\"},\n {\"box_2d\": [617, 286, 648, 314], \"label\": \"chicory seed\"},\n {\"box_2d\": [607, 342, 628, 386], \"label\": \"chicory seed\"},\n {\"box_2d\": [434, 623, 469, 657], \"label\": \"chicory seed\"},\n {\"box_2d\": [546, 154, 581, 190], \"label\": \"chicory seed\"},\n {\"box_2d\": [691, 717, 726, 750], \"label\": \"chicory seed\"},\n {\"box_2d\": [573, 234, 607, 276], \"label\": \"chicory seed\"},\n {\"box_2d\": [342, 429, 375, 463], \"label\": \"chicory seed\"},\n {\"box_2d\": [585, 412, 617, 449], \"label\": \"chicory seed\"},\n {\"box_2d\": [592, 322, 617, 365], \"label\": \"chicory seed\"},\n {\"box_2d\": [585, 469, 617, 507], \"label\": \"chicory seed\"},\n {\"box_2d\": [434, 211, 473, 234], \"label\": \"chicory seed\"},\n {\"box_2d\": [660, 250, 699, 281], \"label\": \"chicory seed\"},\n {\"box_2d\": [550, 336, 592, 365], \"label\": \"chicory seed\"},\n {\"box_2d\": [412, 531, 434, 574], \"label\": \"chicory seed\"},\n {\"box_2d\": [774, 396, 811, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [496, 207, 524, 249], \"label\": \"chicory seed\"},\n {\"box_2d\": [755, 567, 782, 605], \"label\": \"chicory seed\"},\n {\"box_2d\": [617, 557, 639, 598], \"label\": \"chicory seed\"},\n {\"box_2d\": [414, 331, 437, 370], \"label\": \"chicory seed\"},\n {\"box_2d\": [400, 254, 437, 286], \"label\": \"chicory seed\"},\n {\"box_2d\": [336, 463, 359, 502], \"label\": \"chicory seed\"},\n {\"box_2d\": [585, 224, 617, 259], \"label\": \"chicory seed\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 7212, "elapsed_seconds": 62.82302416698076, "metadata": {"match_method": "map", "num_predictions": 200, "num_ground_truth": 303, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.305053174495697, "attempts": 2, "retries": 1, "total_seconds": 153.9677, "transient_errors": ["RemoteProtocolError"]}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 166, "image": "9pro_tire_2024-10-17_2_png_jpg.rf.4f51ee46ba892a991a30327b934d13a9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [77, 198, 181, 396], \"label\": \"tire size text\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 47, "elapsed_seconds": 73.20845245802775, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5049504637718201, "attempts": 1, "retries": 0, "total_seconds": 73.7252}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 167, "image": "2024-12-05T02-00-56-789Z-1004_jpg.rf.16e81306ce0ce847c1fdd836e6752b92.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [243, 0, 658, 159], \"label\": \"velcro cable tie\"},\n {\"box_2d\": [628, 149, 673, 180], \"label\": \"screw\"},\n {\"box_2d\": [649, 524, 686, 563], \"label\": \"screw\"},\n {\"box_2d\": [430, 868, 502, 926], \"label\": \"screw\"}\n]\n```", "correct": false, "input_tokens": 1204, "output_tokens": 149, "elapsed_seconds": 11.48420216597151, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6666666269302368, "attempts": 1, "retries": 0, "total_seconds": 11.7907}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 168, "image": "45_png.rf.5c5cd31ecf12f414c9d6c446b6599fc0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [56, 238, 90, 299], \"label\": \"not gate symbol\"},\n {\"box_2d\": [101, 424, 152, 524], \"label\": \"and gate symbol\"},\n {\"box_2d\": [90, 789, 141, 886], \"label\": \"or gate symbol\"},\n {\"box_2d\": [298, 551, 359, 630], \"label\": \"and gate symbol\"},\n {\"box_2d\": [298, 667, 360, 745], \"label\": \"and gate symbol\"},\n {\"box_2d\": [368, 789, 419, 886], \"label\": \"or gate symbol\"},\n {\"box_2d\": [581, 574, 642, 652], \"label\": \"and gate symbol\"},\n {\"box_2d\": [581, 690, 642, 768], \"label\": \"and gate symbol\"},\n {\"box_2d\": [650, 811, 701, 909], \"label\": \"or gate symbol\"},\n {\"box_2d\": [870, 591, 932, 669], \"label\": \"and gate symbol\"},\n {\"box_2d\": [870, 707, 932, 785], \"label\": \"and gate symbol\"},\n {\"box_2d\": [939, 811, 991, 909], \"label\": \"or gate symbol\"}\n]\n```", "correct": true, "input_tokens": 1264, "output_tokens": 441, "elapsed_seconds": 5.83243283291813, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 5.8374}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 169, "image": "paper-parts_112786_53_jpg.rf.0483acf3782b23a87f49280c7a03b327.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [92, 175, 330, 667], \"label\": \"figure\"},\n {\"box_2d\": [372, 176, 424, 882], \"label\": \"figure caption\"},\n {\"box_2d\": [478, 176, 493, 207], \"label\": \"paragraph\"},\n {\"box_2d\": [523, 274, 550, 753], \"label\": \"equation\"},\n {\"box_2d\": [560, 274, 586, 712], \"label\": \"equation\"},\n {\"box_2d\": [596, 274, 623, 784], \"label\": \"equation\"},\n {\"box_2d\": [633, 274, 660, 735], \"label\": \"equation\"},\n {\"box_2d\": [669, 274, 696, 736], \"label\": \"equation\"},\n {\"box_2d\": [708, 274, 723, 529], \"label\": \"equation\"},\n {\"box_2d\": [755, 176, 869, 882], \"label\": \"paragraph\"},\n {\"box_2d\": [898, 519, 913, 539], \"label\": \"page number\"}\n]\n```", "correct": false, "input_tokens": 1248, "output_tokens": 387, "elapsed_seconds": 9.688283458934166, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6504949927330017, "attempts": 1, "retries": 0, "total_seconds": 9.7277}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 170, "image": "signatures_image_21_png_jpg.rf.af64d00b20a92b8a4d92e9aefc5cd1f8.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [72, 217, 176, 358], \"label\": \"signature\"},\n {\"box_2d\": [301, 678, 398, 868], \"label\": \"signature\"},\n {\"box_2d\": [654, 511, 756, 725], \"label\": \"signature\"},\n {\"box_2d\": [833, 419, 945, 643], \"label\": \"signature\"},\n {\"box_2d\": [829, 650, 926, 853], \"label\": \"signature\"}\n]\n```", "correct": true, "input_tokens": 1252, "output_tokens": 181, "elapsed_seconds": 11.994631082983688, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.800000011920929, "attempts": 1, "retries": 0, "total_seconds": 12.1228}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 171, "image": "1668146885__jpg.rf.3d8577f11d5831de64da2c2964b98050.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [59, 789, 114, 820], \"label\": \"two die\"},\n {\"box_2d\": [107, 749, 162, 781], \"label\": \"three die\"},\n {\"box_2d\": [131, 710, 185, 742], \"label\": \"six die\"},\n {\"box_2d\": [209, 882, 261, 916], \"label\": \"five die\"},\n {\"box_2d\": [194, 633, 252, 667], \"label\": \"six die\"},\n {\"box_2d\": [259, 632, 314, 664], \"label\": \"four die\"},\n {\"box_2d\": [291, 682, 348, 714], \"label\": \"two die\"},\n {\"box_2d\": [296, 787, 353, 821], \"label\": \"three die\"},\n {\"box_2d\": [304, 915, 360, 949], \"label\": \"three die\"},\n {\"box_2d\": [341, 777, 400, 811], \"label\": \"four die\"},\n {\"box_2d\": [375, 686, 431, 719], \"label\": \"three die\"},\n {\"box_2d\": [421, 660, 475, 691], \"label\": \"six die\"},\n {\"box_2d\": [474, 683, 531, 716], \"label\": \"three die\"},\n {\"box_2d\": [485, 714, 540, 746], \"label\": \"two die\"},\n {\"box_2d\": [540, 804, 586, 832], \"label\": \"six die\"},\n {\"box_2d\": [579, 827, 624, 855], \"label\": \"five die\"},\n {\"box_2d\": [610, 789, 656, 816], \"label\": \"six die\"},\n {\"box_2d\": [653, 710, 709, 743], \"label\": \"two die\"},\n {\"box_2d\": [678, 855, 728, 885], \"label\": \"six die\"},\n {\"box_2d\": [696, 583, 745, 612], \"label\": \"six die\"},\n {\"box_2d\": [448, 588, 495, 615], \"label\": \"three die\"},\n {\"box_2d\": [344, 544, 400, 575], \"label\": \"five die\"},\n {\"box_2d\": [303, 563, 350, 589], \"label\": \"six die\"},\n {\"box_2d\": [309, 597, 358, 623], \"label\": \"one die\"},\n {\"box_2d\": [506, 537, 565, 569], \"label\": \"five die\"},\n {\"box_2d\": [541, 559, 596, 590], \"label\": \"five die\"},\n {\"box_2d\": [556, 533, 608, 560], \"label\": \"two die\"},\n {\"box_2d\": [615, 553, 668, 584], \"label\": \"two die\"},\n {\"box_2d\": [623, 511, 678, 542], \"label\": \"four die\"},\n {\"box_2d\": [572, 496, 628, 527], \"label\": \"six die\"},\n {\"box_2d\": [508, 468, 563, 499], \"label\": \"five die\"},\n {\"box_2d\": [596, 449, 643, 476], \"label\": \"two die\"},\n {\"box_2d\": [24, 354, 84, 386], \"label\": \"two die\"},\n {\"box_2d\": [49, 205, 100, 234], \"label\": \"four die\"},\n {\"box_2d\": [171, 226, 227, 257], \"label\": \"two die\"},\n {\"box_2d\": [141, 142, 193, 171], \"label\": \"two die\"},\n {\"box_2d\": [327, 213, 385, 246], \"label\": \"five die\"},\n {\"box_2d\": [376, 201, 434, 234], \"label\": \"six die\"},\n {\"box_2d\": [391, 138, 450, 171], \"label\": \"three die\"},\n {\"box_2d\": [441, 216, 497, 248], \"label\": \"one die\"},\n {\"box_2d\": [380, 276, 438, 309], \"label\": \"four die\"},\n {\"box_2d\": [345, 318, 400, 349], \"label\": \"five die\"},\n {\"box_2d\": [519, 273, 576, 305], \"label\": \"two die\"},\n {\"box_2d\": [516, 217, 571, 249], \"label\": \"three die\"},\n {\"box_2d\": [626, 165, 676, 194], \"label\": \"two die\"},\n {\"box_2d\": [691, 225, 745, 258], \"label\": \"two die\"},\n {\"box_2d\": [729, 259, 784, 291], \"label\": \"four die\"}\n]\n```", "correct": true, "input_tokens": 1252, "output_tokens": 1653, "elapsed_seconds": 16.150115541997366, "metadata": {"match_method": "map", "num_predictions": 47, "num_ground_truth": 48, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9087014198303223, "attempts": 1, "retries": 0, "total_seconds": 16.207}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 172, "image": "IMG_20220316_171754_jpg.rf.02842914dec30f998cea03868026b96a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [86, 192, 405, 485], \"label\": \"eight of clubs\"},\n {\"box_2d\": [283, 274, 650, 538], \"label\": \"seven of clubs\"},\n {\"box_2d\": [291, 419, 673, 738], \"label\": \"five of clubs\"},\n {\"box_2d\": [461, 517, 941, 922], \"label\": \"six of clubs\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 155, "elapsed_seconds": 11.050986374961212, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 11.0913}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 173, "image": "39_jpg.rf.edb5339d00a37b75d6cf16c1f9a301ff.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [174, 162, 211, 205], \"label\": \"resistor symbol\"},\n {\"box_2d\": [151, 353, 198, 405], \"label\": \"resistor symbol\"},\n {\"box_2d\": [354, 271, 449, 286], \"label\": \"resistor symbol\"},\n {\"box_2d\": [468, 61, 634, 125], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [774, 329, 834, 398], \"label\": \"resistor symbol\"},\n {\"box_2d\": [352, 480, 448, 498], \"label\": \"resistor symbol\"},\n {\"box_2d\": [319, 675, 420, 690], \"label\": \"resistor symbol\"},\n {\"box_2d\": [155, 769, 193, 811], \"label\": \"resistor symbol\"},\n {\"box_2d\": [441, 855, 543, 874], \"label\": \"resistor symbol\"},\n {\"box_2d\": [806, 273, 895, 298], \"label\": \"ground symbol\"}\n]\n```", "correct": true, "input_tokens": 1216, "output_tokens": 371, "elapsed_seconds": 8.136982916039415, "metadata": {"match_method": "map", "num_predictions": 10, "num_ground_truth": 10, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 8.2505}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 174, "image": "99FB9DDE-58F9-4BBA-8CC2-48146BC0EBC5_jpg.rf.1cef29e3b05e7507a4b618bd8b857503.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [191, 249, 252, 309], \"label\": \"pill\"},\n {\"box_2d\": [182, 444, 245, 502], \"label\": \"pill\"},\n {\"box_2d\": [278, 450, 338, 509], \"label\": \"pill\"},\n {\"box_2d\": [269, 327, 331, 386], \"label\": \"pill\"},\n {\"box_2d\": [294, 202, 355, 265], \"label\": \"pill\"},\n {\"box_2d\": [354, 180, 414, 243], \"label\": \"pill\"},\n {\"box_2d\": [417, 134, 476, 198], \"label\": \"pill\"},\n {\"box_2d\": [419, 244, 479, 306], \"label\": \"pill\"},\n {\"box_2d\": [336, 283, 396, 344], \"label\": \"pill\"},\n {\"box_2d\": [387, 309, 445, 370], \"label\": \"pill\"},\n {\"box_2d\": [445, 359, 506, 419], \"label\": \"pill\"},\n {\"box_2d\": [472, 304, 533, 364], \"label\": \"pill\"},\n {\"box_2d\": [513, 345, 574, 405], \"label\": \"pill\"},\n {\"box_2d\": [602, 282, 665, 345], \"label\": \"pill\"},\n {\"box_2d\": [621, 199, 683, 263], \"label\": \"pill\"},\n {\"box_2d\": [592, 365, 654, 426], \"label\": \"pill\"},\n {\"box_2d\": [504, 414, 565, 473], \"label\": \"pill\"},\n {\"box_2d\": [445, 439, 505, 499], \"label\": \"pill\"},\n {\"box_2d\": [377, 390, 436, 449], \"label\": \"pill\"},\n {\"box_2d\": [319, 408, 377, 467], \"label\": \"pill\"},\n {\"box_2d\": [334, 469, 393, 528], \"label\": \"pill\"},\n {\"box_2d\": [399, 477, 459, 536], \"label\": \"pill\"},\n {\"box_2d\": [387, 545, 447, 604], \"label\": \"pill\"},\n {\"box_2d\": [450, 532, 509, 591], \"label\": \"pill\"},\n {\"box_2d\": [430, 613, 490, 672], \"label\": \"pill\"},\n {\"box_2d\": [404, 668, 464, 729], \"label\": \"pill\"},\n {\"box_2d\": [506, 561, 569, 621], \"label\": \"pill\"},\n {\"box_2d\": [489, 485, 550, 545], \"label\": \"pill\"},\n {\"box_2d\": [551, 466, 612, 526], \"label\": \"pill\"},\n {\"box_2d\": [562, 530, 624, 591], \"label\": \"pill\"},\n {\"box_2d\": [612, 449, 674, 509], \"label\": \"pill\"},\n {\"box_2d\": [635, 539, 699, 600], \"label\": \"pill\"},\n {\"box_2d\": [685, 761, 750, 829], \"label\": \"pill\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 1134, "elapsed_seconds": 56.13510004198179, "metadata": {"match_method": "map", "num_predictions": 33, "num_ground_truth": 33, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 56.6282}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 175, "image": "8a_tire_2024-10-17_62_png_jpg.rf.da90fbf7f0527f341a28f165c3e83dac.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [146, 344, 189, 439], \"label\": \"tire size text\"},\n {\"box_2d\": [463, 62, 654, 96], \"label\": \"tire size text\"},\n {\"box_2d\": [461, 915, 648, 945], \"label\": \"tire size text\"}\n]\n```", "correct": false, "input_tokens": 1226, "output_tokens": 118, "elapsed_seconds": 40.479029916925356, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.4422442317008972, "attempts": 1, "retries": 0, "total_seconds": 41.0306}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 176, "image": "frame_0002_03_jpg.rf.dda0be95dbf94773efee5983feb50582.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [742, 461, 804, 493], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [747, 535, 808, 567], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [468, 330, 523, 359], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [482, 474, 543, 505], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [592, 327, 650, 356], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [611, 543, 677, 574], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [731, 389, 795, 420], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [604, 398, 667, 428], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [609, 469, 672, 500], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [488, 545, 546, 575], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [715, 320, 774, 349], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [477, 399, 534, 429], \"label\": \"soda bottle cap\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 444, "elapsed_seconds": 76.20666679204442, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 76.8209}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 177, "image": "f77_jpg.rf.82279850cbac861dc93376eb2c7be55d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 745, 725, 1000], \"label\": \"wildfire\"},\n {\"box_2d\": [468, 745, 725, 868], \"label\": \"wildfire\"},\n {\"box_2d\": [0, 56, 444, 240], \"label\": \"wildfire\"},\n {\"box_2d\": [306, 134, 444, 229], \"label\": \"wildfire\"},\n {\"box_2d\": [155, 297, 196, 315], \"label\": \"wildfire\"},\n {\"box_2d\": [491, 643, 523, 661], \"label\": \"wildfire\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 218, "elapsed_seconds": 37.16491937497631, "metadata": {"match_method": "map", "num_predictions": 6, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.301980197429657, "attempts": 1, "retries": 0, "total_seconds": 37.2915}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 178, "image": "1219_48_jpg.rf.d6aecd0b221112666e45beae667e3572.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 8, 122, 130], \"label\": \"white king\"},\n {\"box_2d\": [5, 386, 126, 472], \"label\": \"white queen\"},\n {\"box_2d\": [17, 891, 117, 995], \"label\": \"white bishop\"},\n {\"box_2d\": [143, 387, 236, 475], \"label\": \"white bishop\"},\n {\"box_2d\": [279, 648, 350, 719], \"label\": \"white pawn\"},\n {\"box_2d\": [397, 276, 487, 366], \"label\": \"black king\"},\n {\"box_2d\": [398, 520, 479, 599], \"label\": \"white rook\"},\n {\"box_2d\": [398, 768, 482, 879], \"label\": \"black queen\"},\n {\"box_2d\": [533, 146, 613, 231], \"label\": \"black rook\"},\n {\"box_2d\": [513, 272, 595, 355], \"label\": \"white knight\"},\n {\"box_2d\": [522, 638, 601, 735], \"label\": \"black knight\"},\n {\"box_2d\": [498, 770, 576, 862], \"label\": \"black rook\"},\n {\"box_2d\": [637, 8, 715, 117], \"label\": \"black knight\"},\n {\"box_2d\": [647, 528, 728, 621], \"label\": \"white knight\"},\n {\"box_2d\": [666, 753, 738, 825], \"label\": \"black pawn\"},\n {\"box_2d\": [748, 254, 837, 342], \"label\": \"black bishop\"},\n {\"box_2d\": [869, 278, 983, 367], \"label\": \"black queen\"}\n]\n```", "correct": true, "input_tokens": 1259, "output_tokens": 598, "elapsed_seconds": 67.62753766705282, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 17, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 67.9038}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 179, "image": "f27_jpg.rf.b153b2c59a95b68f3f9edb924d42cee4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [54, 240, 444, 392], \"label\": \"wildfire\"},\n {\"box_2d\": [173, 599, 443, 734], \"label\": \"wildfire\"},\n {\"box_2d\": [652, 678, 745, 737], \"label\": \"wildfire\"},\n {\"box_2d\": [612, 181, 938, 392], \"label\": \"wildfire\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 151, "elapsed_seconds": 15.303611916024238, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 15.4307}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 180, "image": "img_461922717831528641_png.rf.c1eccbe6f38478b43fbba2e4cba33ac0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [58, 181, 155, 326], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [153, 171, 259, 319], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [29, 324, 121, 456], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [121, 312, 220, 455], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [68, 444, 166, 581], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [36, 577, 134, 709], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [79, 695, 178, 839], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [171, 699, 276, 853], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [128, 576, 228, 720], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [166, 443, 265, 584], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [219, 306, 324, 452], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [254, 159, 367, 313], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [360, 145, 480, 305], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [321, 297, 434, 450], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [265, 441, 371, 588], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [224, 575, 328, 722], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [269, 704, 379, 862], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [374, 710, 489, 875], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [326, 578, 439, 731], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [368, 438, 482, 591], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [433, 292, 553, 448], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [476, 130, 599, 299], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [598, 113, 724, 290], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [552, 281, 675, 445], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [480, 434, 599, 593], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [434, 578, 553, 736], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [483, 715, 603, 888], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [602, 725, 725, 906], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [551, 581, 672, 745], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [599, 431, 722, 597], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [676, 272, 801, 440], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [725, 92, 864, 275], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [860, 77, 1000, 267], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [804, 260, 956, 435], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [855, 421, 1000, 599], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [723, 428, 855, 599], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [672, 576, 800, 752], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [802, 579, 952, 762], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [725, 731, 855, 921], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [853, 744, 1000, 938], \"label\": \"empty portable gas cylinder\"}\n]\n```", "correct": false, "input_tokens": 1208, "output_tokens": 1488, "elapsed_seconds": 37.004189583007246, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 40, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.41462114453315735, "attempts": 1, "retries": 0, "total_seconds": 37.1318}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 181, "image": "20230113_134921_jpg.rf.98498c853848c0b93af6274d6758c4d5.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [520, 809, 536, 876], \"label\": \"crack\"}\n]\n```", "correct": false, "input_tokens": 1225, "output_tokens": 46, "elapsed_seconds": 4.182789625017904, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 4.2019}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 182, "image": "IMG_0618_jpeg.rf.efa7b9f1261718cff400e2cf104b3017.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [276, 461, 333, 526], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [344, 578, 417, 624], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [357, 396, 429, 458], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [375, 240, 441, 308], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [436, 521, 516, 583], \"label\": \"caramel corn jelly bean\"},\n {\"box_2d\": [452, 694, 521, 772], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [487, 346, 573, 408], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [499, 206, 588, 255], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [613, 244, 681, 327], \"label\": \"peach jelly bean\"},\n {\"box_2d\": [616, 403, 712, 474], \"label\": \"peach jelly bean\"},\n {\"box_2d\": [607, 627, 711, 682], \"label\": \"top banana jelly bean\"}\n]\n```", "correct": true, "input_tokens": 1230, "output_tokens": 428, "elapsed_seconds": 21.164793500094675, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 21.2123}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 183, "image": "1668146875__jpg.rf.3051c36c0a756d3687be5c2fb0ad5141.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [572, 169, 622, 198], \"label\": \"five die\"},\n {\"box_2d\": [438, 217, 494, 249], \"label\": \"three die\"},\n {\"box_2d\": [390, 311, 437, 340], \"label\": \"five die\"},\n {\"box_2d\": [412, 341, 469, 372], \"label\": \"two die\"},\n {\"box_2d\": [341, 300, 388, 329], \"label\": \"six die\"},\n {\"box_2d\": [303, 325, 355, 351], \"label\": \"four die\"},\n {\"box_2d\": [270, 301, 326, 333], \"label\": \"six die\"},\n {\"box_2d\": [230, 273, 286, 303], \"label\": \"six die\"},\n {\"box_2d\": [217, 297, 273, 329], \"label\": \"five die\"},\n {\"box_2d\": [200, 347, 258, 381], \"label\": \"four die\"},\n {\"box_2d\": [298, 349, 350, 376], \"label\": \"six die\"},\n {\"box_2d\": [293, 372, 341, 400], \"label\": \"two die\"},\n {\"box_2d\": [280, 396, 331, 424], \"label\": \"two die\"},\n {\"box_2d\": [341, 366, 390, 395], \"label\": \"four die\"},\n {\"box_2d\": [350, 336, 395, 364], \"label\": \"five die\"},\n {\"box_2d\": [182, 389, 238, 420], \"label\": \"two die\"},\n {\"box_2d\": [99, 361, 161, 396], \"label\": \"six die\"},\n {\"box_2d\": [112, 405, 169, 437], \"label\": \"two die\"},\n {\"box_2d\": [180, 434, 242, 468], \"label\": \"six die\"},\n {\"box_2d\": [513, 390, 571, 422], \"label\": \"five die\"},\n {\"box_2d\": [588, 381, 643, 412], \"label\": \"two die\"},\n {\"box_2d\": [530, 450, 588, 482], \"label\": \"three die\"},\n {\"box_2d\": [292, 517, 350, 550], \"label\": \"six die\"},\n {\"box_2d\": [361, 540, 417, 572], \"label\": \"two die\"},\n {\"box_2d\": [412, 492, 463, 521], \"label\": \"five die\"},\n {\"box_2d\": [769, 325, 819, 353], \"label\": \"six die\"},\n {\"box_2d\": [817, 314, 868, 342], \"label\": \"five die\"},\n {\"box_2d\": [850, 375, 899, 401], \"label\": \"six die\"},\n {\"box_2d\": [820, 427, 878, 458], \"label\": \"five die\"},\n {\"box_2d\": [757, 441, 804, 467], \"label\": \"five die\"},\n {\"box_2d\": [708, 442, 756, 470], \"label\": \"four die\"},\n {\"box_2d\": [650, 472, 703, 502], \"label\": \"six die\"},\n {\"box_2d\": [685, 495, 740, 527], \"label\": \"six die\"},\n {\"box_2d\": [641, 515, 694, 545], \"label\": \"two die\"},\n {\"box_2d\": [589, 531, 634, 558], \"label\": \"five die\"},\n {\"box_2d\": [399, 649, 444, 675], \"label\": \"four die\"},\n {\"box_2d\": [341, 684, 397, 715], \"label\": \"three die\"},\n {\"box_2d\": [256, 715, 314, 748], \"label\": \"three die\"},\n {\"box_2d\": [200, 765, 250, 793], \"label\": \"one die\"},\n {\"box_2d\": [147, 781, 198, 809], \"label\": \"three die\"},\n {\"box_2d\": [32, 674, 92, 707], \"label\": \"four die\"},\n {\"box_2d\": [363, 773, 412, 802], \"label\": \"three die\"},\n {\"box_2d\": [394, 748, 450, 781], \"label\": \"two die\"},\n {\"box_2d\": [450, 758, 495, 785], \"label\": \"four die\"},\n {\"box_2d\": [498, 758, 544, 786], \"label\": \"four die\"},\n {\"box_2d\": [440, 809, 490, 838], \"label\": \"six die\"},\n {\"box_2d\": [666, 793, 722, 826], \"label\": \"three die\"}\n]\n```", "correct": false, "input_tokens": 1252, "output_tokens": 1654, "elapsed_seconds": 31.504894291982055, "metadata": {"match_method": "map", "num_predictions": 47, "num_ground_truth": 48, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5514419078826904, "attempts": 1, "retries": 0, "total_seconds": 31.5629}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 184, "image": "C440AC87-A6AC-47BA-9CB8-2E8D0B276501_jpg.rf.8b0f079f1f23f56b5c9934be046152df.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [793, 60, 884, 152], \"label\": \"pill\"},\n {\"box_2d\": [701, 161, 790, 248], \"label\": \"pill\"},\n {\"box_2d\": [780, 221, 871, 310], \"label\": \"pill\"},\n {\"box_2d\": [689, 246, 777, 331], \"label\": \"pill\"},\n {\"box_2d\": [719, 321, 809, 408], \"label\": \"pill\"},\n {\"box_2d\": [542, 283, 626, 366], \"label\": \"pill\"},\n {\"box_2d\": [573, 355, 657, 437], \"label\": \"pill\"},\n {\"box_2d\": [465, 163, 546, 246], \"label\": \"pill\"},\n {\"box_2d\": [481, 240, 562, 321], \"label\": \"pill\"},\n {\"box_2d\": [474, 321, 554, 401], \"label\": \"pill\"},\n {\"box_2d\": [415, 277, 493, 356], \"label\": \"pill\"},\n {\"box_2d\": [326, 124, 404, 205], \"label\": \"pill\"},\n {\"box_2d\": [229, 167, 305, 245], \"label\": \"pill\"},\n {\"box_2d\": [163, 250, 238, 324], \"label\": \"pill\"},\n {\"box_2d\": [161, 369, 235, 443], \"label\": \"pill\"},\n {\"box_2d\": [243, 306, 319, 382], \"label\": \"pill\"},\n {\"box_2d\": [306, 273, 383, 352], \"label\": \"pill\"},\n {\"box_2d\": [357, 322, 434, 398], \"label\": \"pill\"},\n {\"box_2d\": [413, 365, 491, 442], \"label\": \"pill\"},\n {\"box_2d\": [353, 406, 430, 482], \"label\": \"pill\"},\n {\"box_2d\": [297, 456, 373, 531], \"label\": \"pill\"},\n {\"box_2d\": [438, 434, 517, 513], \"label\": \"pill\"},\n {\"box_2d\": [602, 438, 686, 520], \"label\": \"pill\"},\n {\"box_2d\": [587, 521, 670, 603], \"label\": \"pill\"},\n {\"box_2d\": [508, 515, 588, 594], \"label\": \"pill\"},\n {\"box_2d\": [430, 523, 509, 601], \"label\": \"pill\"},\n {\"box_2d\": [361, 545, 437, 622], \"label\": \"pill\"},\n {\"box_2d\": [290, 548, 364, 624], \"label\": \"pill\"},\n {\"box_2d\": [315, 616, 392, 692], \"label\": \"pill\"},\n {\"box_2d\": [306, 690, 383, 767], \"label\": \"pill\"},\n {\"box_2d\": [375, 704, 452, 785], \"label\": \"pill\"},\n {\"box_2d\": [429, 648, 509, 729], \"label\": \"pill\"},\n {\"box_2d\": [475, 583, 557, 663], \"label\": \"pill\"},\n {\"box_2d\": [581, 677, 665, 762], \"label\": \"pill\"},\n {\"box_2d\": [694, 783, 780, 871], \"label\": \"pill\"},\n {\"box_2d\": [699, 703, 786, 788], \"label\": \"pill\"},\n {\"box_2d\": [704, 620, 793, 706], \"label\": \"pill\"},\n {\"box_2d\": [771, 571, 862, 659], \"label\": \"pill\"},\n {\"box_2d\": [723, 496, 811, 581], \"label\": \"pill\"},\n {\"box_2d\": [811, 479, 902, 567], \"label\": \"pill\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 1371, "elapsed_seconds": 36.02010220789816, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 40, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 36.629}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 185, "image": "preannot3_62_png.rf.0c5f5d9500c1d4c579c64d746f68b358.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [757, 240, 773, 270], \"label\": \"tire spike normal\"},\n {\"box_2d\": [707, 314, 725, 343], \"label\": \"tire spike normal\"},\n {\"box_2d\": [617, 267, 636, 296], \"label\": \"tire spike normal\"},\n {\"box_2d\": [560, 325, 578, 355], \"label\": \"tire spike normal\"},\n {\"box_2d\": [444, 219, 463, 248], \"label\": \"tire spike normal\"},\n {\"box_2d\": [365, 200, 384, 229], \"label\": \"tire spike absent\"},\n {\"box_2d\": [293, 241, 311, 271], \"label\": \"tire spike normal\"},\n {\"box_2d\": [235, 302, 253, 331], \"label\": \"tire spike normal\"},\n {\"box_2d\": [150, 236, 167, 264], \"label\": \"tire spike normal\"},\n {\"box_2d\": [91, 297, 105, 322], \"label\": \"tire spike normal\"},\n {\"box_2d\": [19, 329, 32, 354], \"label\": \"tire spike normal\"},\n {\"box_2d\": [28, 637, 42, 667], \"label\": \"tire spike normal\"},\n {\"box_2d\": [70, 619, 86, 646], \"label\": \"tire spike normal\"},\n {\"box_2d\": [108, 695, 125, 723], \"label\": \"tire spike normal\"},\n {\"box_2d\": [181, 651, 198, 680], \"label\": \"tire spike normal\"},\n {\"box_2d\": [252, 697, 270, 728], \"label\": \"tire spike normal\"},\n {\"box_2d\": [320, 744, 339, 774], \"label\": \"tire spike absent\"},\n {\"box_2d\": [395, 769, 413, 797], \"label\": \"tire spike normal\"},\n {\"box_2d\": [506, 651, 524, 682], \"label\": \"tire spike normal\"},\n {\"box_2d\": [572, 694, 591, 723], \"label\": \"tire spike normal\"},\n {\"box_2d\": [678, 634, 695, 662], \"label\": \"tire spike normal\"},\n {\"box_2d\": [709, 752, 726, 780], \"label\": \"tire spike normal\"},\n {\"box_2d\": [802, 670, 818, 697], \"label\": \"tire spike normal\"},\n {\"box_2d\": [855, 719, 871, 746], \"label\": \"tire spike normal\"},\n {\"box_2d\": [899, 289, 914, 315], \"label\": \"tire spike normal\"},\n {\"box_2d\": [932, 639, 944, 664], \"label\": \"tire spike normal\"},\n {\"box_2d\": [942, 732, 954, 756], \"label\": \"tire spike normal\"}\n]\n```", "correct": false, "input_tokens": 1206, "output_tokens": 977, "elapsed_seconds": 12.030608832952566, "metadata": {"match_method": "map", "num_predictions": 27, "num_ground_truth": 32, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.698019802570343, "attempts": 1, "retries": 0, "total_seconds": 12.1078}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 186, "image": "floorplan-windows-doors_10035_png.rf.4ea81a436186bba253c43df724f8ab26.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [779, 489, 899, 535], \"label\": \"door\"},\n {\"box_2d\": [751, 594, 780, 675], \"label\": \"window\"},\n {\"box_2d\": [751, 773, 780, 836], \"label\": \"window\"},\n {\"box_2d\": [751, 333, 780, 408], \"label\": \"window\"},\n {\"box_2d\": [219, 184, 304, 238], \"label\": \"door\"},\n {\"box_2d\": [7, 134, 36, 191], \"label\": \"window\"},\n {\"box_2d\": [7, 347, 36, 424], \"label\": \"window\"},\n {\"box_2d\": [7, 503, 36, 581], \"label\": \"window\"},\n {\"box_2d\": [7, 588, 36, 667], \"label\": \"window\"},\n {\"box_2d\": [7, 773, 36, 851], \"label\": \"window\"},\n {\"box_2d\": [287, 311, 349, 345], \"label\": \"door\"},\n {\"box_2d\": [266, 396, 336, 444], \"label\": \"door\"},\n {\"box_2d\": [460, 311, 519, 345], \"label\": \"door\"},\n {\"box_2d\": [471, 396, 542, 445], \"label\": \"door\"},\n {\"box_2d\": [384, 442, 452, 490], \"label\": \"door\"},\n {\"box_2d\": [218, 678, 285, 725], \"label\": \"door\"},\n {\"box_2d\": [562, 677, 630, 725], \"label\": \"door\"},\n {\"box_2d\": [393, 769, 463, 816], \"label\": \"door\"},\n {\"box_2d\": [540, 765, 614, 811], \"label\": \"door\"},\n {\"box_2d\": [597, 828, 661, 868], \"label\": \"door\"},\n {\"box_2d\": [618, 886, 690, 935], \"label\": \"door\"},\n {\"box_2d\": [319, 915, 415, 935], \"label\": \"window\"}\n]\n```", "correct": true, "input_tokens": 1245, "output_tokens": 745, "elapsed_seconds": 9.529739042045549, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8857260942459106, "attempts": 1, "retries": 0, "total_seconds": 9.5813}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 187, "image": "IMG_6647_jpeg_jpg.rf.c9080c42346e2e5efd9c896163bdce7e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [568, 259, 653, 463], \"label\": \"white poker chip\"},\n {\"box_2d\": [562, 265, 628, 464], \"label\": \"white poker chip\"},\n {\"box_2d\": [546, 265, 610, 467], \"label\": \"white poker chip\"},\n {\"box_2d\": [479, 265, 594, 470], \"label\": \"white poker chip\"},\n {\"box_2d\": [579, 472, 668, 678], \"label\": \"white poker chip\"},\n {\"box_2d\": [553, 470, 652, 678], \"label\": \"white poker chip\"},\n {\"box_2d\": [540, 476, 636, 682], \"label\": \"white poker chip\"},\n {\"box_2d\": [529, 479, 619, 695], \"label\": \"white poker chip\"},\n {\"box_2d\": [504, 483, 603, 697], \"label\": \"white poker chip\"},\n {\"box_2d\": [495, 488, 588, 701], \"label\": \"white poker chip\"},\n {\"box_2d\": [468, 486, 569, 712], \"label\": \"white poker chip\"},\n {\"box_2d\": [450, 492, 549, 714], \"label\": \"white poker chip\"},\n {\"box_2d\": [447, 502, 529, 720], \"label\": \"white poker chip\"},\n {\"box_2d\": [416, 499, 509, 723], \"label\": \"white poker chip\"},\n {\"box_2d\": [399, 499, 487, 725], \"label\": \"white poker chip\"},\n {\"box_2d\": [377, 497, 467, 724], \"label\": \"white poker chip\"},\n {\"box_2d\": [373, 513, 446, 742], \"label\": \"white poker chip\"},\n {\"box_2d\": [356, 516, 424, 748], \"label\": \"white poker chip\"},\n {\"box_2d\": [332, 513, 403, 747], \"label\": \"white poker chip\"},\n {\"box_2d\": [315, 516, 381, 756], \"label\": \"white poker chip\"},\n {\"box_2d\": [301, 525, 359, 766], \"label\": \"white poker chip\"},\n {\"box_2d\": [274, 515, 333, 758], \"label\": \"white poker chip\"},\n {\"box_2d\": [254, 512, 307, 750], \"label\": \"white poker chip\"},\n {\"box_2d\": [220, 506, 282, 748], \"label\": \"white poker chip\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 876, "elapsed_seconds": 13.9479612079449, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 24, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9455445408821106, "attempts": 1, "retries": 0, "total_seconds": 13.9728}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 188, "image": "IMG_20220316_141641_jpg.rf.2b5b442678a6dd37dce39460868771a9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [548, 344, 960, 695], \"label\": \"king of spades\"},\n {\"box_2d\": [447, 29, 882, 398], \"label\": \"nine of spades\"},\n {\"box_2d\": [191, 97, 581, 424], \"label\": \"jack of spades\"},\n {\"box_2d\": [141, 333, 529, 657], \"label\": \"ten of spades\"},\n {\"box_2d\": [145, 563, 530, 868], \"label\": \"queen of spades\"}\n]\n```", "correct": true, "input_tokens": 1218, "output_tokens": 190, "elapsed_seconds": 4.006026249960996, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 4.0383}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 189, "image": "img_460975841708081304_png.rf.71eaf0b919ddab2a648aa76c72cc4a00.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [160, 147, 307, 250], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [178, 253, 326, 350], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [190, 353, 309, 444], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [202, 446, 326, 537], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [217, 538, 336, 629], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [231, 625, 349, 718], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [242, 712, 360, 804], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [244, 118, 419, 237], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [264, 238, 439, 344], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [278, 346, 405, 445], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [288, 449, 415, 545], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [299, 544, 450, 643], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [310, 639, 454, 740], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [322, 732, 456, 834], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [347, 89, 540, 217], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [365, 218, 558, 336], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [377, 339, 517, 445], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [387, 449, 555, 555], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [397, 554, 570, 660], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [410, 656, 559, 767], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [420, 756, 560, 868], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [468, 46, 682, 194], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [485, 192, 691, 323], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [497, 326, 672, 445], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [504, 448, 695, 565], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [509, 561, 693, 684], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [522, 674, 689, 797], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [528, 782, 692, 909], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [620, 0, 864, 173], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [637, 165, 866, 312], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [641, 312, 855, 445], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [644, 448, 861, 578], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [648, 574, 853, 710], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [659, 696, 859, 837], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [663, 818, 845, 956], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [817, 0, 1000, 134], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [823, 124, 1000, 297], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [820, 297, 1000, 445], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [822, 448, 1000, 594], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [820, 591, 1000, 740], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [826, 728, 1000, 880], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [828, 853, 1000, 1000], \"label\": \"full portable gas cylinder\"}\n]\n```", "correct": true, "input_tokens": 1203, "output_tokens": 1568, "elapsed_seconds": 16.401058958028443, "metadata": {"match_method": "map", "num_predictions": 42, "num_ground_truth": 42, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 16.5165}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 190, "image": "0000242_03668_d_0000012_jpg.rf.06096e6f084464419e172f0d35ca4d48.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [777, 157, 964, 227], \"label\": \"car\"},\n {\"box_2d\": [603, 622, 1000, 770], \"label\": \"bus\"},\n {\"box_2d\": [453, 320, 550, 359], \"label\": \"car\"},\n {\"box_2d\": [446, 488, 533, 521], \"label\": \"car\"},\n {\"box_2d\": [557, 691, 631, 740], \"label\": \"car\"},\n {\"box_2d\": [309, 241, 368, 302], \"label\": \"car\"},\n {\"box_2d\": [353, 111, 405, 185], \"label\": \"car\"},\n {\"box_2d\": [274, 59, 335, 103], \"label\": \"van\"},\n {\"box_2d\": [224, 306, 287, 340], \"label\": \"car\"},\n {\"box_2d\": [248, 510, 303, 538], \"label\": \"car\"},\n {\"box_2d\": [309, 715, 357, 779], \"label\": \"car\"},\n {\"box_2d\": [374, 864, 429, 904], \"label\": \"car\"},\n {\"box_2d\": [135, 543, 177, 563], \"label\": \"car\"},\n {\"box_2d\": [32, 481, 64, 497], \"label\": \"car\"},\n {\"box_2d\": [393, 41, 437, 94], \"label\": \"tricycle\"},\n {\"box_2d\": [416, 176, 453, 216], \"label\": \"tricycle\"},\n {\"box_2d\": [398, 105, 431, 134], \"label\": \"motorcycle\"},\n {\"box_2d\": [275, 863, 311, 875], \"label\": \"person\"}\n]\n```", "correct": false, "input_tokens": 1253, "output_tokens": 622, "elapsed_seconds": 8.561614959035069, "metadata": {"match_method": "map", "num_predictions": 18, "num_ground_truth": 41, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.39530616998672485, "attempts": 1, "retries": 0, "total_seconds": 8.5957}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 191, "image": "DJI_20230529111835_0160_T_JPG_jpg.rf.cb5b9a9d87fdc7c9ff407eb5530abb88.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [92, 608, 191, 653], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [95, 528, 195, 572], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [98, 488, 195, 531], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [100, 447, 197, 489], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [447, 509, 545, 550], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [361, 383, 456, 427], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [445, 588, 542, 631], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [423, 961, 522, 1000], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [31, 77, 125, 117], \"label\": \"solar panel hot spot\"}\n]\n```", "correct": false, "input_tokens": 1228, "output_tokens": 341, "elapsed_seconds": 9.518484832951799, "metadata": {"match_method": "map", "num_predictions": 9, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 9.5412}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 192, "image": "oil-tank-detection_oiltank_72_jpg.rf.bfd5af54297ea9f409419db50cd04705.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [562, 41, 667, 134], \"label\": \"oil tank\"},\n {\"box_2d\": [472, 179, 577, 271], \"label\": \"oil tank\"},\n {\"box_2d\": [585, 229, 691, 323], \"label\": \"oil tank\"},\n {\"box_2d\": [676, 86, 789, 184], \"label\": \"oil tank\"},\n {\"box_2d\": [797, 135, 916, 234], \"label\": \"oil tank\"},\n {\"box_2d\": [699, 279, 813, 378], \"label\": \"oil tank\"},\n {\"box_2d\": [244, 324, 344, 412], \"label\": \"oil tank\"},\n {\"box_2d\": [357, 381, 460, 471], \"label\": \"oil tank\"},\n {\"box_2d\": [356, 504, 456, 594], \"label\": \"oil tank\"},\n {\"box_2d\": [475, 442, 583, 535], \"label\": \"oil tank\"},\n {\"box_2d\": [602, 508, 712, 602], \"label\": \"oil tank\"}\n]\n```", "correct": true, "input_tokens": 1217, "output_tokens": 395, "elapsed_seconds": 6.139797083102167, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 6.2191}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 193, "image": "fall-detection_11_mp4-445_jpg.rf.ec9538d8514a0521c6f155cde47497f3.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [489, 833, 536, 945], \"label\": \"fallen person\"},\n {\"box_2d\": [498, 616, 566, 709], \"label\": \"fallen person\"},\n {\"box_2d\": [686, 222, 781, 369], \"label\": \"fallen person\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 117, "elapsed_seconds": 3.778275540913455, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 3.7949}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 194, "image": "IMG_0619_jpeg.rf.c3c23da72f8dbeb2815ccc4646178889.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [266, 309, 349, 376], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [347, 749, 434, 839], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [261, 479, 333, 542], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [254, 639, 323, 701], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [319, 544, 410, 610], \"label\": \"caramel corn jelly bean\"},\n {\"box_2d\": [348, 362, 448, 423], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [451, 495, 570, 578], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [485, 677, 574, 789], \"label\": \"peach jelly bean\"},\n {\"box_2d\": [598, 579, 750, 675], \"label\": \"peach jelly bean\"},\n {\"box_2d\": [621, 344, 756, 476], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [481, 185, 609, 278], \"label\": \"tutti-fruitti jelly bean\"}\n]\n```", "correct": true, "input_tokens": 1230, "output_tokens": 428, "elapsed_seconds": 7.554356541950256, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 7.6071}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 195, "image": "GP010243_JPG_jpg.rf.64d32b7106e99e9f954d84ee868d21ec.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [584, 483, 616, 681], \"label\": \"carrot\"},\n {\"box_2d\": [609, 470, 648, 652], \"label\": \"carrot\"},\n {\"box_2d\": [614, 386, 730, 444], \"label\": \"carrot\"},\n {\"box_2d\": [627, 386, 755, 542], \"label\": \"carrot\"},\n {\"box_2d\": [528, 344, 577, 472], \"label\": \"carrot\"},\n {\"box_2d\": [433, 345, 591, 394], \"label\": \"carrot\"},\n {\"box_2d\": [373, 392, 542, 416], \"label\": \"carrot\"},\n {\"box_2d\": [288, 345, 378, 452], \"label\": \"carrot\"},\n {\"box_2d\": [345, 408, 520, 441], \"label\": \"carrot\"},\n {\"box_2d\": [472, 412, 497, 572], \"label\": \"carrot\"},\n {\"box_2d\": [498, 423, 536, 569], \"label\": \"carrot\"},\n {\"box_2d\": [275, 450, 475, 489], \"label\": \"carrot\"},\n {\"box_2d\": [288, 484, 422, 508], \"label\": \"carrot\"},\n {\"box_2d\": [259, 475, 408, 608], \"label\": \"carrot\"},\n {\"box_2d\": [397, 489, 453, 631], \"label\": \"carrot\"},\n {\"box_2d\": [348, 598, 511, 623], \"label\": \"carrot\"},\n {\"box_2d\": [423, 569, 519, 603], \"label\": \"carrot\"},\n {\"box_2d\": [375, 561, 484, 683], \"label\": \"carrot\"},\n {\"box_2d\": [169, 375, 311, 416], \"label\": \"carrot\"},\n {\"box_2d\": [162, 392, 302, 442], \"label\": \"carrot\"},\n {\"box_2d\": [59, 355, 253, 388], \"label\": \"carrot\"},\n {\"box_2d\": [91, 389, 217, 461], \"label\": \"carrot\"},\n {\"box_2d\": [134, 472, 320, 570], \"label\": \"carrot\"},\n {\"box_2d\": [95, 447, 223, 500], \"label\": \"carrot\"},\n {\"box_2d\": [91, 497, 180, 611], \"label\": \"carrot\"},\n {\"box_2d\": [130, 566, 333, 605], \"label\": \"carrot\"},\n {\"box_2d\": [150, 527, 220, 680], \"label\": \"carrot\"},\n {\"box_2d\": [159, 622, 294, 684], \"label\": \"carrot\"},\n {\"box_2d\": [219, 616, 364, 689], \"label\": \"carrot\"},\n {\"box_2d\": [233, 617, 389, 705], \"label\": \"carrot\"},\n {\"box_2d\": [278, 680, 420, 708], \"label\": \"carrot\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 1062, "elapsed_seconds": 10.777383832959458, "metadata": {"match_method": "map", "num_predictions": 31, "num_ground_truth": 31, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 10.8084}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 196, "image": "AF6880-9_2025_NCPT-169_JPG_jpg.rf.ea0bce7069f12d5c1ba29710a0998228.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [58, 191, 148, 227], \"label\": \"potato\"},\n {\"box_2d\": [17, 239, 81, 266], \"label\": \"potato\"},\n {\"box_2d\": [81, 238, 148, 267], \"label\": \"potato\"},\n {\"box_2d\": [146, 233, 222, 267], \"label\": \"potato\"},\n {\"box_2d\": [32, 286, 91, 308], \"label\": \"potato\"},\n {\"box_2d\": [58, 320, 155, 357], \"label\": \"potato\"},\n {\"box_2d\": [9, 371, 88, 401], \"label\": \"potato\"},\n {\"box_2d\": [95, 369, 162, 400], \"label\": \"potato\"},\n {\"box_2d\": [162, 371, 237, 399], \"label\": \"potato\"},\n {\"box_2d\": [228, 361, 279, 383], \"label\": \"potato\"},\n {\"box_2d\": [74, 412, 145, 444], \"label\": \"potato\"},\n {\"box_2d\": [141, 409, 250, 449], \"label\": \"potato\"},\n {\"box_2d\": [248, 410, 345, 445], \"label\": \"potato\"},\n {\"box_2d\": [341, 412, 395, 437], \"label\": \"potato\"},\n {\"box_2d\": [275, 358, 389, 403], \"label\": \"potato\"},\n {\"box_2d\": [252, 275, 349, 312], \"label\": \"potato\"},\n {\"box_2d\": [323, 322, 427, 361], \"label\": \"potato\"},\n {\"box_2d\": [390, 365, 474, 398], \"label\": \"potato\"},\n {\"box_2d\": [401, 400, 496, 440], \"label\": \"potato\"},\n {\"box_2d\": [5, 454, 108, 497], \"label\": \"potato\"},\n {\"box_2d\": [111, 454, 206, 490], \"label\": \"potato\"},\n {\"box_2d\": [205, 453, 291, 490], \"label\": \"potato\"},\n {\"box_2d\": [288, 447, 363, 479], \"label\": \"potato\"},\n {\"box_2d\": [363, 448, 464, 489], \"label\": \"potato\"},\n {\"box_2d\": [51, 501, 136, 536], \"label\": \"potato\"},\n {\"box_2d\": [134, 501, 214, 532], \"label\": \"potato\"},\n {\"box_2d\": [213, 503, 281, 529], \"label\": \"potato\"},\n {\"box_2d\": [279, 500, 376, 537], \"label\": \"potato\"},\n {\"box_2d\": [227, 543, 315, 574], \"label\": \"potato\"},\n {\"box_2d\": [78, 586, 169, 621], \"label\": \"potato\"},\n {\"box_2d\": [237, 582, 351, 620], \"label\": \"potato\"},\n {\"box_2d\": [7, 634, 96, 665], \"label\": \"potato\"},\n {\"box_2d\": [92, 633, 176, 670], \"label\": \"potato\"},\n {\"box_2d\": [173, 634, 234, 659], \"label\": \"potato\"},\n {\"box_2d\": [193, 671, 294, 707], \"label\": \"potato\"},\n {\"box_2d\": [387, 536, 483, 580], \"label\": \"potato\"},\n {\"box_2d\": [422, 669, 514, 704], \"label\": \"potato\"},\n {\"box_2d\": [568, 670, 630, 695], \"label\": \"potato\"},\n {\"box_2d\": [562, 585, 633, 611], \"label\": \"potato\"},\n {\"box_2d\": [637, 582, 728, 611], \"label\": \"potato\"},\n {\"box_2d\": [579, 753, 682, 791], \"label\": \"potato\"},\n {\"box_2d\": [823, 664, 916, 699], \"label\": \"potato\"},\n {\"box_2d\": [485, 493, 597, 540], \"label\": \"potato\"},\n {\"box_2d\": [515, 452, 589, 484], \"label\": \"potato\"},\n {\"box_2d\": [505, 402, 613, 438], \"label\": \"potato\"},\n {\"box_2d\": [472, 361, 575, 399], \"label\": \"potato\"},\n {\"box_2d\": [455, 320, 533, 350], \"label\": \"potato\"},\n {\"box_2d\": [430, 276, 517, 309], \"label\": \"potato\"},\n {\"box_2d\": [402, 234, 461, 261], \"label\": \"potato\"},\n {\"box_2d\": [526, 276, 616, 312], \"label\": \"potato\"},\n {\"box_2d\": [592, 317, 671, 351], \"label\": \"potato\"},\n {\"box_2d\": [641, 273, 728, 307], \"label\": \"potato\"},\n {\"box_2d\": [670, 232, 749, 262], \"label\": \"potato\"},\n {\"box_2d\": [617, 195, 668, 217], \"label\": \"potato\"},\n {\"box_2d\": [727, 275, 804, 303], \"label\": \"potato\"},\n {\"box_2d\": [661, 365, 729, 393], \"label\": \"potato\"},\n {\"box_2d\": [656, 402, 748, 440], \"label\": \"potato\"},\n {\"box_2d\": [606, 447, 694, 485], \"label\": \"potato\"},\n {\"box_2d\": [728, 356, 825, 398], \"label\": \"potato\"},\n {\"box_2d\": [826, 353, 930, 393], \"label\": \"potato\"},\n {\"box_2d\": [918, 314, 1000, 346], \"label\": \"potato\"},\n {\"box_2d\": [925, 360, 1000, 397], \"label\": \"potato\"},\n {\"box_2d\": [864, 398, 942, 434], \"label\": \"potato\"},\n {\"box_2d\": [937, 405, 1000, 434], \"label\": \"potato\"},\n {\"box_2d\": [765, 487, 857, 529], \"label\": \"potato\"},\n {\"box_2d\": [858, 492, 932, 521], \"label\": \"potato\"},\n {\"box_2d\": [932, 490, 1000, 524], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 2274, "elapsed_seconds": 55.58078770793509, "metadata": {"match_method": "map", "num_predictions": 67, "num_ground_truth": 67, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 56.3318}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 197, "image": "frame_0086_jpg.rf.5ae0e80356e2c5bb993a052e5023c7f1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [112, 326, 152, 353], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [27, 339, 68, 362], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [29, 396, 68, 419], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [114, 383, 156, 408], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [118, 440, 161, 466], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [32, 452, 71, 474], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [38, 507, 79, 531], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [123, 498, 166, 524], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [654, 299, 703, 325], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [656, 361, 709, 387], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [669, 424, 720, 452], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [682, 490, 732, 515], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [767, 295, 816, 321], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [771, 356, 822, 383], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [781, 421, 835, 448], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [798, 486, 847, 513], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [913, 483, 962, 509], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [898, 418, 949, 444], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [886, 353, 936, 380], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [878, 293, 927, 318], \"label\": \"soda bottle cap\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 724, "elapsed_seconds": 87.90267679200042, "metadata": {"match_method": "map", "num_predictions": 20, "num_ground_truth": 20, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 88.4806}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 198, "image": "image_147_png_jpg.rf.fd3e0f5032b1ae386c027b1058ac751a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [117, 673, 405, 895], \"label\": \"tire size text\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 48, "elapsed_seconds": 23.299988917075098, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5049504637718201, "attempts": 1, "retries": 0, "total_seconds": 23.7834}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 199, "image": "fabric-defect_1080_jpg.rf.77a4ab03e25cfeeaaa1f6bbdcb3e7742.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [563, 487, 667, 730], \"label\": \"fabric cut\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 47, "elapsed_seconds": 4.012026084004901, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 4.0238}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 200, "image": "oil-tank-detection_oiltank_137_jpg.rf.be33343bf10652832014b855d080a80c.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [77, 462, 232, 591], \"label\": \"oil tank\"},\n {\"box_2d\": [92, 599, 237, 725], \"label\": \"oil tank\"},\n {\"box_2d\": [104, 736, 224, 839], \"label\": \"oil tank\"},\n {\"box_2d\": [230, 730, 362, 837], \"label\": \"oil tank\"},\n {\"box_2d\": [236, 595, 391, 725], \"label\": \"oil tank\"},\n {\"box_2d\": [230, 456, 381, 583], \"label\": \"oil tank\"},\n {\"box_2d\": [391, 449, 540, 578], \"label\": \"oil tank\"},\n {\"box_2d\": [399, 591, 551, 721], \"label\": \"oil tank\"},\n {\"box_2d\": [363, 728, 495, 836], \"label\": \"oil tank\"},\n {\"box_2d\": [548, 593, 691, 709], \"label\": \"oil tank\"},\n {\"box_2d\": [546, 450, 684, 563], \"label\": \"oil tank\"},\n {\"box_2d\": [117, 848, 194, 922], \"label\": \"oil tank\"},\n {\"box_2d\": [194, 846, 275, 921], \"label\": \"oil tank\"},\n {\"box_2d\": [275, 849, 360, 920], \"label\": \"oil tank\"},\n {\"box_2d\": [360, 845, 443, 919], \"label\": \"oil tank\"},\n {\"box_2d\": [443, 845, 530, 920], \"label\": \"oil tank\"},\n {\"box_2d\": [588, 846, 675, 914], \"label\": \"oil tank\"}\n]\n```", "correct": true, "input_tokens": 1217, "output_tokens": 605, "elapsed_seconds": 10.01420625008177, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 17, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 10.0897}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 201, "image": "basketball-player-detection_boston-celtics-new-york-knicks-game-1-q1-05-13-05-09-0000_png.rf.31fd4573143b8c82031c8804c4754e40.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [325, 198, 349, 211], \"label\": \"basketball\"},\n {\"box_2d\": [194, 711, 250, 742], \"label\": \"basket rim\"},\n {\"box_2d\": [290, 158, 459, 200], \"label\": \"player in possession\"},\n {\"box_2d\": [356, 130, 610, 181], \"label\": \"player\"},\n {\"box_2d\": [397, 223, 648, 281], \"label\": \"player\"},\n {\"box_2d\": [307, 297, 488, 355], \"label\": \"player\"},\n {\"box_2d\": [579, 467, 804, 530], \"label\": \"player\"},\n {\"box_2d\": [478, 482, 686, 529], \"label\": \"player\"},\n {\"box_2d\": [205, 539, 375, 591], \"label\": \"player\"},\n {\"box_2d\": [244, 658, 452, 694], \"label\": \"player\"},\n {\"box_2d\": [173, 670, 356, 709], \"label\": \"player\"},\n {\"box_2d\": [219, 9, 400, 67], \"label\": \"referee\"},\n {\"box_2d\": [678, 632, 910, 678], \"label\": \"referee\"},\n {\"box_2d\": [202, 742, 376, 783], \"label\": \"referee\"},\n {\"box_2d\": [294, 671, 316, 680], \"label\": \"jersey number\"},\n {\"box_2d\": [232, 562, 254, 570], \"label\": \"jersey number\"},\n {\"box_2d\": [329, 319, 352, 335], \"label\": \"jersey number\"},\n {\"box_2d\": [457, 241, 486, 252], \"label\": \"jersey number\"},\n {\"box_2d\": [636, 473, 667, 481], \"label\": \"jersey number\"},\n {\"box_2d\": [723, 651, 745, 664], \"label\": \"jersey number\"},\n {\"box_2d\": [401, 141, 439, 152], \"label\": \"jersey number\"},\n {\"box_2d\": [141, 534, 307, 567], \"label\": \"player\"}\n]\n```", "correct": false, "input_tokens": 1250, "output_tokens": 770, "elapsed_seconds": 19.5472273749765, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 23, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7524280548095703, "attempts": 1, "retries": 0, "total_seconds": 19.6788}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 202, "image": "z4517190790071_c6f2ede212488ea95f254bbe631608fc_jpg.rf.f7f6570fcaaac50f965457b35ee9278d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [158, 350, 261, 505], \"label\": \"10 poker chip\"},\n {\"box_2d\": [280, 241, 394, 405], \"label\": \"20 poker chip\"},\n {\"box_2d\": [364, 102, 483, 274], \"label\": \"100 poker chip\"},\n {\"box_2d\": [457, 187, 586, 364], \"label\": \"10 poker chip\"},\n {\"box_2d\": [549, 27, 687, 207], \"label\": \"50 poker chip\"},\n {\"box_2d\": [573, 248, 714, 431], \"label\": \"20 poker chip\"},\n {\"box_2d\": [421, 357, 545, 529], \"label\": \"20 poker chip\"},\n {\"box_2d\": [292, 439, 408, 604], \"label\": \"20 poker chip\"},\n {\"box_2d\": [228, 588, 340, 752], \"label\": \"50 poker chip\"},\n {\"box_2d\": [425, 606, 552, 785], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [344, 771, 464, 945], \"label\": \"5000 poker chip\"},\n {\"box_2d\": [526, 456, 663, 637], \"label\": \"20 poker chip\"},\n {\"box_2d\": [549, 698, 689, 886], \"label\": \"500 poker chip\"},\n {\"box_2d\": [692, 602, 847, 799], \"label\": \"50 poker chip\"},\n {\"box_2d\": [705, 396, 862, 591], \"label\": \"50 poker chip\"}\n]\n```", "correct": true, "input_tokens": 1246, "output_tokens": 572, "elapsed_seconds": 34.467488041031174, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 34.7622}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 203, "image": "0000272_05500_d_0000012_jpg.rf.4ba2cfdc69b70f306855d444db49f509.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [771, 351, 848, 369], \"label\": \"person\"},\n {\"box_2d\": [742, 404, 800, 417], \"label\": \"bike\"},\n {\"box_2d\": [715, 403, 767, 418], \"label\": \"person\"},\n {\"box_2d\": [870, 452, 1000, 519], \"label\": \"car\"},\n {\"box_2d\": [592, 475, 742, 526], \"label\": \"car\"},\n {\"box_2d\": [617, 581, 731, 646], \"label\": \"car\"},\n {\"box_2d\": [750, 29, 832, 83], \"label\": \"car\"},\n {\"box_2d\": [423, 480, 518, 520], \"label\": \"car\"},\n {\"box_2d\": [419, 413, 471, 424], \"label\": \"person\"},\n {\"box_2d\": [332, 384, 392, 402], \"label\": \"awning tricycle\"},\n {\"box_2d\": [291, 386, 338, 403], \"label\": \"awning tricycle\"},\n {\"box_2d\": [283, 488, 359, 520], \"label\": \"car\"},\n {\"box_2d\": [186, 482, 249, 506], \"label\": \"van\"},\n {\"box_2d\": [230, 529, 282, 555], \"label\": \"car\"},\n {\"box_2d\": [261, 566, 319, 588], \"label\": \"awning tricycle\"},\n {\"box_2d\": [356, 610, 386, 620], \"label\": \"motorcycle\"},\n {\"box_2d\": [335, 608, 376, 621], \"label\": \"person\"},\n {\"box_2d\": [491, 672, 550, 691], \"label\": \"person\"},\n {\"box_2d\": [219, 461, 245, 470], \"label\": \"bike\"},\n {\"box_2d\": [205, 460, 239, 469], \"label\": \"person\"},\n {\"box_2d\": [268, 406, 294, 415], \"label\": \"motorcycle\"},\n {\"box_2d\": [209, 401, 276, 421], \"label\": \"awning tricycle\"},\n {\"box_2d\": [194, 397, 224, 426], \"label\": \"car\"},\n {\"box_2d\": [112, 425, 160, 442], \"label\": \"car\"},\n {\"box_2d\": [75, 426, 121, 446], \"label\": \"van\"},\n {\"box_2d\": [173, 585, 219, 611], \"label\": \"car\"},\n {\"box_2d\": [134, 448, 165, 454], \"label\": \"person\"},\n {\"box_2d\": [75, 562, 108, 582], \"label\": \"car\"},\n {\"box_2d\": [35, 557, 74, 575], \"label\": \"van\"},\n {\"box_2d\": [26, 519, 58, 536], \"label\": \"car\"},\n {\"box_2d\": [6, 555, 31, 569], \"label\": \"car\"},\n {\"box_2d\": [0, 459, 17, 475], \"label\": \"car\"},\n {\"box_2d\": [34, 434, 71, 452], \"label\": \"van\"},\n {\"box_2d\": [17, 440, 56, 455], \"label\": \"truck\"},\n {\"box_2d\": [54, 429, 108, 451], \"label\": \"truck\"},\n {\"box_2d\": [213, 608, 244, 616], \"label\": \"person\"},\n {\"box_2d\": [216, 622, 244, 628], \"label\": \"person\"},\n {\"box_2d\": [235, 748, 267, 770], \"label\": \"motorcycle\"},\n {\"box_2d\": [239, 797, 281, 807], \"label\": \"person\"},\n {\"box_2d\": [283, 784, 323, 808], \"label\": \"tricycle\"},\n {\"box_2d\": [425, 847, 460, 868], \"label\": \"motorcycle\"},\n {\"box_2d\": [453, 924, 487, 938], \"label\": \"person\"}\n]\n```", "correct": false, "input_tokens": 1251, "output_tokens": 1427, "elapsed_seconds": 17.436113291070797, "metadata": {"match_method": "map", "num_predictions": 42, "num_ground_truth": 48, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.553512454032898, "attempts": 1, "retries": 0, "total_seconds": 17.5053}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 204, "image": "IMG_20251126_160326_jpg.rf.31a216199c4280d746f5865a68a63ce2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 476, 195, 553], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [0, 629, 179, 710], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [686, 33, 779, 103], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [659, 118, 949, 194], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [674, 241, 769, 311], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [656, 313, 765, 385], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [669, 383, 765, 449], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [664, 463, 756, 530], \"label\": \"white standard price tag\"},\n {\"box_2d\": [636, 591, 922, 667], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [656, 688, 749, 757], \"label\": \"white standard price tag\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 377, "elapsed_seconds": 12.66439008305315, "metadata": {"match_method": "map", "num_predictions": 10, "num_ground_truth": 10, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 13.0798}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 205, "image": "54_jpg.rf.3f4031b98a1a0622e63a0c84142db646.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [46, 108, 121, 350], \"label\": \"blood sample tube\"},\n {\"box_2d\": [39, 294, 326, 449], \"label\": \"blood sample tube\"},\n {\"box_2d\": [173, 321, 419, 513], \"label\": \"blood sample tube\"},\n {\"box_2d\": [311, 224, 631, 275], \"label\": \"blood sample tube\"},\n {\"box_2d\": [400, 110, 697, 241], \"label\": \"blood sample tube\"},\n {\"box_2d\": [686, 118, 750, 359], \"label\": \"blood sample tube\"},\n {\"box_2d\": [678, 417, 744, 660], \"label\": \"blood sample tube\"},\n {\"box_2d\": [540, 555, 725, 785], \"label\": \"blood sample tube\"},\n {\"box_2d\": [512, 650, 692, 886], \"label\": \"blood sample tube\"},\n {\"box_2d\": [423, 616, 608, 848], \"label\": \"blood sample tube\"},\n {\"box_2d\": [230, 642, 507, 822], \"label\": \"blood sample tube\"},\n {\"box_2d\": [191, 559, 461, 738], \"label\": \"blood sample tube\"},\n {\"box_2d\": [69, 652, 378, 785], \"label\": \"blood sample tube\"},\n {\"box_2d\": [49, 452, 237, 675], \"label\": \"blood sample tube\"},\n {\"box_2d\": [18, 544, 93, 785], \"label\": \"blood sample tube\"},\n {\"box_2d\": [50, 782, 375, 839], \"label\": \"blood sample tube\"},\n {\"box_2d\": [155, 828, 483, 879], \"label\": \"blood sample tube\"},\n {\"box_2d\": [332, 471, 613, 640], \"label\": \"blood sample tube\"},\n {\"box_2d\": [411, 371, 710, 516], \"label\": \"blood sample tube\"},\n {\"box_2d\": [293, 369, 600, 496], \"label\": \"blood sample tube\"},\n {\"box_2d\": [377, 304, 684, 428], \"label\": \"blood sample tube\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 761, "elapsed_seconds": 12.007125832955353, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 21, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 12.0366}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 206, "image": "car-part-detection_Car-damages-100_png_jpg.rf.662e4c271efc89eea96c10e14886a134.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [228, 344, 360, 535], \"label\": \"front window\"},\n {\"box_2d\": [228, 550, 355, 744], \"label\": \"back window\"},\n {\"box_2d\": [224, 524, 591, 766], \"label\": \"back door\"},\n {\"box_2d\": [224, 297, 581, 549], \"label\": \"front door\"},\n {\"box_2d\": [329, 134, 391, 286], \"label\": \"hood\"},\n {\"box_2d\": [391, 115, 440, 162], \"label\": \"headlight\"},\n {\"box_2d\": [369, 879, 435, 954], \"label\": \"tail light\"},\n {\"box_2d\": [235, 310, 322, 429], \"label\": \"windshield\"},\n {\"box_2d\": [315, 322, 362, 341], \"label\": \"mirror\"},\n {\"box_2d\": [235, 728, 311, 833], \"label\": \"back windshield\"},\n {\"box_2d\": [416, 829, 607, 961], \"label\": \"back bumper\"},\n {\"box_2d\": [412, 104, 574, 178], \"label\": \"front bumper\"}\n]\n```", "correct": false, "input_tokens": 1273, "output_tokens": 430, "elapsed_seconds": 5.86350824998226, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 13, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7499998807907104, "attempts": 1, "retries": 0, "total_seconds": 5.8811}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 207, "image": "11_jpeg_jpg.rf.39329fe23320cf7bc33af6b9a57582d1.jpg", "expected": "", "predicted": "```json\n[{\"box_2d\": [77, 259, 184, 340], \"label\": \"potato\"}, {\"box_2d\": [298, 34, 425, 134], \"label\": \"potato\"}, {\"box_2d\": [715, 0, 810, 34], \"label\": \"potato\"}, {\"box_2d\": [298, 345, 391, 435], \"label\": \"potato\"}, {\"box_2d\": [498, 200, 661, 316], \"label\": \"potato\"}, {\"box_2d\": [488, 405, 594, 498], \"label\": \"potato\"}, {\"box_2d\": [698, 323, 830, 434], \"label\": \"potato\"}, {\"box_2d\": [914, 314, 1000, 422], \"label\": \"potato\"}, {\"box_2d\": [651, 510, 819, 621], \"label\": \"potato\"}, {\"box_2d\": [88, 643, 184, 738], \"label\": \"potato\"}, {\"box_2d\": [504, 618, 596, 702], \"label\": \"potato\"}, {\"box_2d\": [504, 788, 603, 879], \"label\": \"potato\"}, {\"box_2d\": [710, 703, 811, 783], \"label\": \"potato\"}, {\"box_2d\": [703, 813, 809, 882], \"label\": \"potato\"}, {\"box_2d\": [898, 744, 1000, 838], \"label\": \"potato\"}]```", "correct": true, "input_tokens": 1240, "output_tokens": 484, "elapsed_seconds": 6.317863874952309, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9306930899620056, "attempts": 1, "retries": 0, "total_seconds": 6.3611}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 208, "image": "oil-tank-detection_oiltank_3_jpg.rf.be0eb144cee15c2f85755ead464dc286.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [537, 226, 623, 294], \"label\": \"oil tank\"},\n {\"box_2d\": [278, 229, 412, 333], \"label\": \"oil tank\"},\n {\"box_2d\": [283, 74, 417, 179], \"label\": \"oil tank\"},\n {\"box_2d\": [540, 132, 628, 200], \"label\": \"oil tank\"},\n {\"box_2d\": [105, 72, 234, 173], \"label\": \"oil tank\"},\n {\"box_2d\": [100, 229, 232, 332], \"label\": \"oil tank\"},\n {\"box_2d\": [92, 458, 218, 560], \"label\": \"oil tank\"},\n {\"box_2d\": [86, 613, 214, 718], \"label\": \"oil tank\"},\n {\"box_2d\": [269, 464, 404, 566], \"label\": \"oil tank\"},\n {\"box_2d\": [262, 621, 396, 722], \"label\": \"oil tank\"}\n]\n```", "correct": true, "input_tokens": 1217, "output_tokens": 358, "elapsed_seconds": 6.415279167005792, "metadata": {"match_method": "map", "num_predictions": 10, "num_ground_truth": 10, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 6.4874}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 209, "image": "tile_558_jpg.rf.98aa48e6c54062f1e67b01de665e6887.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [76, 882, 95, 922], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [311, 569, 334, 602], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [345, 248, 376, 322], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [624, 340, 665, 421], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [869, 152, 898, 224], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [602, 839, 620, 892], \"label\": \"ship in SAR satellite image\"}\n]\n```", "correct": true, "input_tokens": 1229, "output_tokens": 238, "elapsed_seconds": 7.283474541036412, "metadata": {"match_method": "map", "num_predictions": 6, "num_ground_truth": 6, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 7.3305}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 210, "image": "20230224_110122_jpg.rf.94c8b9d6caaec8593c315337e30857d7.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [589, 196, 650, 284], \"label\": \"crack\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 46, "elapsed_seconds": 3.0077316659735516, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 3.0233}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 211, "image": "IMG_20220316_144550_jpg.rf.92c6d74a9ccc9c6c90918613d40eb144.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [553, 170, 999, 513], \"label\": \"five of hearts\"},\n {\"box_2d\": [443, 405, 892, 667], \"label\": \"seven of hearts\"},\n {\"box_2d\": [244, 290, 657, 521], \"label\": \"six of hearts\"},\n {\"box_2d\": [282, 513, 669, 684], \"label\": \"eight of hearts\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 156, "elapsed_seconds": 4.893078749999404, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 4.9158}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 212, "image": "wood-log-detection_006_png_jpg.rf.45786538ddac406dd0014f409b1d4caa.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [56, 448, 194, 534], \"label\": \"log cross-section\"},\n {\"box_2d\": [117, 475, 248, 558], \"label\": \"log cross-section\"},\n {\"box_2d\": [56, 553, 173, 628], \"label\": \"log cross-section\"},\n {\"box_2d\": [80, 623, 134, 678], \"label\": \"log cross-section\"},\n {\"box_2d\": [108, 650, 178, 711], \"label\": \"log cross-section\"},\n {\"box_2d\": [123, 558, 159, 594], \"label\": \"log cross-section\"},\n {\"box_2d\": [117, 592, 162, 641], \"label\": \"log cross-section\"},\n {\"box_2d\": [147, 561, 248, 619], \"label\": \"log cross-section\"},\n {\"box_2d\": [159, 617, 250, 686], \"label\": \"log cross-section\"},\n {\"box_2d\": [159, 683, 252, 780], \"label\": \"log cross-section\"},\n {\"box_2d\": [189, 445, 250, 486], \"label\": \"log cross-section\"},\n {\"box_2d\": [119, 389, 250, 452], \"label\": \"log cross-section\"},\n {\"box_2d\": [86, 294, 252, 419], \"label\": \"log cross-section\"},\n {\"box_2d\": [205, 323, 252, 366], \"label\": \"log cross-section\"},\n {\"box_2d\": [92, 200, 255, 336], \"label\": \"log cross-section\"},\n {\"box_2d\": [181, 239, 253, 305], \"label\": \"log cross-section\"}\n]\n```", "correct": false, "input_tokens": 1228, "output_tokens": 599, "elapsed_seconds": 7.426242292043753, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0806223452091217, "attempts": 1, "retries": 0, "total_seconds": 7.452}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 213, "image": "Container_864_jpg.rf.9627e6adc1ff8e75c7d8ca9f8cc06311.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [111, 541, 389, 566], \"label\": \"shipping container number\"},\n {\"box_2d\": [96, 604, 195, 619], \"label\": \"container ISO type code\"}\n]\n```", "correct": true, "input_tokens": 1232, "output_tokens": 84, "elapsed_seconds": 2.9726950830081478, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 2.9927}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 214, "image": "uav20221018_ixfZ_3857_14_png.rf.64d1ce8897202b1ab5141c12ebcde0db.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [767, 859, 822, 916], \"label\": \"banana tree\"},\n {\"box_2d\": [858, 865, 902, 904], \"label\": \"banana tree\"},\n {\"box_2d\": [809, 783, 875, 845], \"label\": \"banana tree\"},\n {\"box_2d\": [934, 864, 999, 919], \"label\": \"banana tree\"},\n {\"box_2d\": [898, 795, 962, 852], \"label\": \"banana tree\"},\n {\"box_2d\": [958, 488, 1000, 551], \"label\": \"banana tree\"},\n {\"box_2d\": [922, 571, 965, 616], \"label\": \"banana tree\"},\n {\"box_2d\": [870, 489, 933, 550], \"label\": \"banana tree\"},\n {\"box_2d\": [791, 479, 858, 546], \"label\": \"banana tree\"},\n {\"box_2d\": [832, 567, 875, 608], \"label\": \"banana tree\"},\n {\"box_2d\": [746, 554, 797, 612], \"label\": \"banana tree\"},\n {\"box_2d\": [686, 481, 773, 569], \"label\": \"banana tree\"},\n {\"box_2d\": [617, 484, 682, 552], \"label\": \"banana tree\"},\n {\"box_2d\": [656, 549, 711, 610], \"label\": \"banana tree\"},\n {\"box_2d\": [572, 561, 623, 608], \"label\": \"banana tree\"},\n {\"box_2d\": [524, 476, 588, 542], \"label\": \"banana tree\"},\n {\"box_2d\": [436, 482, 497, 545], \"label\": \"banana tree\"},\n {\"box_2d\": [477, 565, 535, 606], \"label\": \"banana tree\"},\n {\"box_2d\": [397, 551, 444, 604], \"label\": \"banana tree\"},\n {\"box_2d\": [349, 478, 434, 547], \"label\": \"banana tree\"},\n {\"box_2d\": [275, 486, 325, 536], \"label\": \"banana tree\"},\n {\"box_2d\": [311, 557, 360, 601], \"label\": \"banana tree\"},\n {\"box_2d\": [228, 558, 271, 597], \"label\": \"banana tree\"},\n {\"box_2d\": [172, 473, 250, 545], \"label\": \"banana tree\"},\n {\"box_2d\": [138, 545, 198, 606], \"label\": \"banana tree\"},\n {\"box_2d\": [92, 464, 165, 536], \"label\": \"banana tree\"},\n {\"box_2d\": [54, 554, 108, 601], \"label\": \"banana tree\"},\n {\"box_2d\": [2, 466, 75, 541], \"label\": \"banana tree\"},\n {\"box_2d\": [0, 551, 21, 598], \"label\": \"banana tree\"},\n {\"box_2d\": [0, 155, 41, 231], \"label\": \"banana tree\"},\n {\"box_2d\": [86, 173, 134, 212], \"label\": \"banana tree\"},\n {\"box_2d\": [46, 245, 81, 282], \"label\": \"banana tree\"},\n {\"box_2d\": [117, 246, 169, 290], \"label\": \"banana tree\"},\n {\"box_2d\": [168, 172, 218, 223], \"label\": \"banana tree\"},\n {\"box_2d\": [213, 240, 260, 283], \"label\": \"banana tree\"},\n {\"box_2d\": [260, 175, 300, 217], \"label\": \"banana tree\"},\n {\"box_2d\": [306, 240, 344, 279], \"label\": \"banana tree\"},\n {\"box_2d\": [341, 172, 397, 230], \"label\": \"banana tree\"},\n {\"box_2d\": [427, 177, 483, 223], \"label\": \"banana tree\"},\n {\"box_2d\": [389, 251, 424, 289], \"label\": \"banana tree\"},\n {\"box_2d\": [471, 248, 524, 296], \"label\": \"banana tree\"},\n {\"box_2d\": [517, 182, 563, 228], \"label\": \"banana tree\"},\n {\"box_2d\": [562, 247, 613, 292], \"label\": \"banana tree\"},\n {\"box_2d\": [602, 182, 653, 236], \"label\": \"banana tree\"},\n {\"box_2d\": [682, 168, 742, 238], \"label\": \"banana tree\"},\n {\"box_2d\": [637, 247, 709, 299], \"label\": \"banana tree\"},\n {\"box_2d\": [729, 243, 789, 297], \"label\": \"banana tree\"},\n {\"box_2d\": [779, 175, 833, 235], \"label\": \"banana tree\"},\n {\"box_2d\": [826, 251, 880, 299], \"label\": \"banana tree\"},\n {\"box_2d\": [864, 177, 922, 240], \"label\": \"banana tree\"},\n {\"box_2d\": [909, 250, 965, 309], \"label\": \"banana tree\"},\n {\"box_2d\": [955, 180, 1000, 242], \"label\": \"banana tree\"}\n]\n```", "correct": false, "input_tokens": 1226, "output_tokens": 1820, "elapsed_seconds": 25.442537333001383, "metadata": {"match_method": "map", "num_predictions": 52, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6832185387611389, "attempts": 1, "retries": 0, "total_seconds": 25.5133}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 215, "image": "1704192313045_jpg.rf.f68f24072cd4a5061cddf9521b0b617a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [430, 294, 514, 366], \"label\": \"chickpea grain\"},\n {\"box_2d\": [502, 439, 566, 511], \"label\": \"chickpea grain\"},\n {\"box_2d\": [698, 228, 780, 302], \"label\": \"chickpea grain\"},\n {\"box_2d\": [264, 603, 336, 688], \"label\": \"chickpea grain\"},\n {\"box_2d\": [591, 731, 670, 808], \"label\": \"chickpea grain\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 192, "elapsed_seconds": 4.40915674995631, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 4.4288}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 216, "image": "A15311-6Ctrv_2025_NCPT-174_JPG_jpg.rf.fc9ee0cac2da2d059bc0db453be0c788.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [928, 722, 995, 748], \"label\": \"potato\"},\n {\"box_2d\": [704, 594, 772, 623], \"label\": \"potato\"},\n {\"box_2d\": [918, 549, 974, 574], \"label\": \"potato\"},\n {\"box_2d\": [829, 544, 920, 577], \"label\": \"potato\"},\n {\"box_2d\": [824, 493, 949, 545], \"label\": \"potato\"},\n {\"box_2d\": [928, 458, 999, 488], \"label\": \"potato\"},\n {\"box_2d\": [731, 448, 840, 494], \"label\": \"potato\"},\n {\"box_2d\": [598, 456, 736, 497], \"label\": \"potato\"},\n {\"box_2d\": [504, 591, 639, 639], \"label\": \"potato\"},\n {\"box_2d\": [451, 637, 553, 674], \"label\": \"potato\"},\n {\"box_2d\": [401, 550, 501, 583], \"label\": \"potato\"},\n {\"box_2d\": [366, 501, 499, 544], \"label\": \"potato\"},\n {\"box_2d\": [156, 590, 286, 646], \"label\": \"potato\"},\n {\"box_2d\": [26, 630, 151, 680], \"label\": \"potato\"},\n {\"box_2d\": [6, 600, 84, 631], \"label\": \"potato\"},\n {\"box_2d\": [3, 557, 89, 589], \"label\": \"potato\"},\n {\"box_2d\": [6, 515, 67, 539], \"label\": \"potato\"},\n {\"box_2d\": [610, 415, 691, 450], \"label\": \"potato\"},\n {\"box_2d\": [431, 463, 503, 495], \"label\": \"potato\"},\n {\"box_2d\": [409, 415, 508, 452], \"label\": \"potato\"},\n {\"box_2d\": [311, 453, 434, 503], \"label\": \"potato\"},\n {\"box_2d\": [278, 413, 407, 456], \"label\": \"potato\"},\n {\"box_2d\": [123, 459, 241, 501], \"label\": \"potato\"},\n {\"box_2d\": [153, 416, 263, 458], \"label\": \"potato\"},\n {\"box_2d\": [72, 420, 156, 454], \"label\": \"potato\"},\n {\"box_2d\": [33, 379, 108, 408], \"label\": \"potato\"},\n {\"box_2d\": [107, 375, 190, 410], \"label\": \"potato\"},\n {\"box_2d\": [188, 376, 271, 410], \"label\": \"potato\"},\n {\"box_2d\": [268, 369, 372, 410], \"label\": \"potato\"},\n {\"box_2d\": [806, 373, 882, 401], \"label\": \"potato\"},\n {\"box_2d\": [715, 369, 804, 405], \"label\": \"potato\"},\n {\"box_2d\": [618, 368, 712, 405], \"label\": \"potato\"},\n {\"box_2d\": [485, 364, 599, 408], \"label\": \"potato\"},\n {\"box_2d\": [443, 326, 550, 366], \"label\": \"potato\"},\n {\"box_2d\": [560, 328, 655, 367], \"label\": \"potato\"},\n {\"box_2d\": [652, 333, 713, 359], \"label\": \"potato\"},\n {\"box_2d\": [804, 241, 887, 272], \"label\": \"potato\"},\n {\"box_2d\": [687, 285, 761, 314], \"label\": \"potato\"},\n {\"box_2d\": [606, 288, 672, 314], \"label\": \"potato\"},\n {\"box_2d\": [548, 290, 608, 315], \"label\": \"potato\"},\n {\"box_2d\": [514, 293, 551, 312], \"label\": \"potato\"},\n {\"box_2d\": [391, 280, 516, 325], \"label\": \"potato\"},\n {\"box_2d\": [496, 243, 584, 278], \"label\": \"potato\"},\n {\"box_2d\": [375, 244, 456, 276], \"label\": \"potato\"},\n {\"box_2d\": [567, 198, 646, 230], \"label\": \"potato\"},\n {\"box_2d\": [428, 202, 496, 229], \"label\": \"potato\"},\n {\"box_2d\": [300, 329, 399, 367], \"label\": \"potato\"},\n {\"box_2d\": [179, 319, 303, 366], \"label\": \"potato\"},\n {\"box_2d\": [63, 332, 154, 369], \"label\": \"potato\"},\n {\"box_2d\": [7, 340, 65, 364], \"label\": \"potato\"},\n {\"box_2d\": [8, 292, 92, 325], \"label\": \"potato\"},\n {\"box_2d\": [92, 292, 151, 319], \"label\": \"potato\"},\n {\"box_2d\": [149, 288, 229, 322], \"label\": \"potato\"},\n {\"box_2d\": [181, 242, 273, 281], \"label\": \"potato\"},\n {\"box_2d\": [74, 246, 158, 281], \"label\": \"potato\"},\n {\"box_2d\": [11, 253, 69, 277], \"label\": \"potato\"},\n {\"box_2d\": [104, 206, 184, 237], \"label\": \"potato\"},\n {\"box_2d\": [200, 162, 267, 191], \"label\": \"potato\"},\n {\"box_2d\": [108, 156, 202, 193], \"label\": \"potato\"},\n {\"box_2d\": [16, 170, 67, 190], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 2027, "elapsed_seconds": 25.352136083994992, "metadata": {"match_method": "map", "num_predictions": 60, "num_ground_truth": 60, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 26.0642}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 217, "image": "signatures_image_15_png_jpg.rf.6b815d82f5451daedc9c9077d66f9599.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [243, 75, 290, 400], \"label\": \"signature\"},\n {\"box_2d\": [230, 467, 279, 825], \"label\": \"signature\"},\n {\"box_2d\": [354, 71, 494, 433], \"label\": \"signature\"},\n {\"box_2d\": [414, 511, 479, 752], \"label\": \"signature\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 146, "elapsed_seconds": 8.091924792039208, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 8.2016}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 218, "image": "lot222_JPEG_jpg.rf.50df16e1f4326083fe341ec20a62dbe4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [529, 173, 560, 211], \"label\": \"chicory seed\"},\n {\"box_2d\": [477, 163, 517, 181], \"label\": \"chicory seed\"},\n {\"box_2d\": [411, 171, 431, 213], \"label\": \"chicory seed\"},\n {\"box_2d\": [430, 173, 448, 210], \"label\": \"chicory seed\"},\n {\"box_2d\": [395, 219, 424, 255], \"label\": \"chicory seed\"},\n {\"box_2d\": [413, 218, 441, 260], \"label\": \"chicory seed\"},\n {\"box_2d\": [444, 187, 476, 227], \"label\": \"chicory seed\"},\n {\"box_2d\": [468, 195, 488, 234], \"label\": \"chicory seed\"},\n {\"box_2d\": [434, 231, 461, 268], \"label\": \"chicory seed\"},\n {\"box_2d\": [455, 234, 491, 264], \"label\": \"chicory seed\"},\n {\"box_2d\": [486, 229, 515, 265], \"label\": \"chicory seed\"},\n {\"box_2d\": [512, 229, 539, 264], \"label\": \"chicory seed\"},\n {\"box_2d\": [563, 210, 588, 250], \"label\": \"chicory seed\"},\n {\"box_2d\": [642, 218, 684, 240], \"label\": \"chicory seed\"},\n {\"box_2d\": [696, 235, 728, 270], \"label\": \"chicory seed\"},\n {\"box_2d\": [703, 274, 740, 296], \"label\": \"chicory seed\"},\n {\"box_2d\": [741, 254, 769, 292], \"label\": \"chicory seed\"},\n {\"box_2d\": [725, 290, 765, 313], \"label\": \"chicory seed\"},\n {\"box_2d\": [765, 289, 781, 330], \"label\": \"chicory seed\"},\n {\"box_2d\": [769, 317, 807, 348], \"label\": \"chicory seed\"},\n {\"box_2d\": [709, 317, 747, 337], \"label\": \"chicory seed\"},\n {\"box_2d\": [685, 293, 710, 328], \"label\": \"chicory seed\"},\n {\"box_2d\": [727, 338, 744, 374], \"label\": \"chicory seed\"},\n {\"box_2d\": [798, 363, 813, 399], \"label\": \"chicory seed\"},\n {\"box_2d\": [812, 359, 836, 399], \"label\": \"chicory seed\"},\n {\"box_2d\": [763, 362, 785, 400], \"label\": \"chicory seed\"},\n {\"box_2d\": [735, 389, 773, 406], \"label\": \"chicory seed\"},\n {\"box_2d\": [776, 406, 816, 429], \"label\": \"chicory seed\"},\n {\"box_2d\": [779, 443, 816, 461], \"label\": \"chicory seed\"},\n {\"box_2d\": [769, 459, 811, 483], \"label\": \"chicory seed\"},\n {\"box_2d\": [791, 489, 829, 515], \"label\": \"chicory seed\"},\n {\"box_2d\": [786, 519, 811, 559], \"label\": \"chicory seed\"},\n {\"box_2d\": [814, 536, 833, 581], \"label\": \"chicory seed\"},\n {\"box_2d\": [740, 540, 777, 558], \"label\": \"chicory seed\"},\n {\"box_2d\": [719, 415, 739, 452], \"label\": \"chicory seed\"},\n {\"box_2d\": [711, 462, 748, 490], \"label\": \"chicory seed\"},\n {\"box_2d\": [748, 449, 773, 489], \"label\": \"chicory seed\"},\n {\"box_2d\": [761, 483, 785, 523], \"label\": \"chicory seed\"},\n {\"box_2d\": [742, 489, 760, 526], \"label\": \"chicory seed\"},\n {\"box_2d\": [718, 491, 744, 531], \"label\": \"chicory seed\"},\n {\"box_2d\": [702, 517, 740, 542], \"label\": \"chicory seed\"},\n {\"box_2d\": [682, 495, 718, 517], \"label\": \"chicory seed\"},\n {\"box_2d\": [670, 454, 703, 490], \"label\": \"chicory seed\"},\n {\"box_2d\": [661, 427, 699, 452], \"label\": \"chicory seed\"},\n {\"box_2d\": [652, 412, 692, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [654, 386, 695, 408], \"label\": \"chicory seed\"},\n {\"box_2d\": [668, 352, 702, 385], \"label\": \"chicory seed\"},\n {\"box_2d\": [649, 340, 681, 377], \"label\": \"chicory seed\"},\n {\"box_2d\": [641, 316, 675, 353], \"label\": \"chicory seed\"},\n {\"box_2d\": [617, 298, 657, 319], \"label\": \"chicory seed\"},\n {\"box_2d\": [609, 259, 639, 294], \"label\": \"chicory seed\"},\n {\"box_2d\": [578, 256, 603, 294], \"label\": \"chicory seed\"},\n {\"box_2d\": [535, 248, 567, 286], \"label\": \"chicory seed\"},\n {\"box_2d\": [554, 286, 592, 313], \"label\": \"chicory seed\"},\n {\"box_2d\": [604, 308, 639, 347], \"label\": \"chicory seed\"},\n {\"box_2d\": [589, 311, 610, 353], \"label\": \"chicory seed\"},\n {\"box_2d\": [575, 321, 591, 363], \"label\": \"chicory seed\"},\n {\"box_2d\": [529, 304, 566, 324], \"label\": \"chicory seed\"},\n {\"box_2d\": [508, 265, 540, 303], \"label\": \"chicory seed\"},\n {\"box_2d\": [501, 274, 519, 313], \"label\": \"chicory seed\"},\n {\"box_2d\": [451, 266, 494, 285], \"label\": \"chicory seed\"},\n {\"box_2d\": [432, 284, 460, 323], \"label\": \"chicory seed\"},\n {\"box_2d\": [397, 253, 434, 289], \"label\": \"chicory seed\"},\n {\"box_2d\": [395, 291, 433, 321], \"label\": \"chicory seed\"},\n {\"box_2d\": [400, 311, 428, 345], \"label\": \"chicory seed\"},\n {\"box_2d\": [362, 269, 393, 299], \"label\": \"chicory seed\"},\n {\"box_2d\": [375, 279, 405, 309], \"label\": \"chicory seed\"},\n {\"box_2d\": [345, 245, 377, 284], \"label\": \"chicory seed\"},\n {\"box_2d\": [314, 210, 335, 249], \"label\": \"chicory seed\"},\n {\"box_2d\": [332, 215, 353, 256], \"label\": \"chicory seed\"},\n {\"box_2d\": [307, 260, 331, 298], \"label\": \"chicory seed\"},\n {\"box_2d\": [270, 244, 305, 277], \"label\": \"chicory seed\"},\n {\"box_2d\": [281, 280, 303, 317], \"label\": \"chicory seed\"},\n {\"box_2d\": [244, 278, 283, 308], \"label\": \"chicory seed\"},\n {\"box_2d\": [241, 307, 267, 346], \"label\": \"chicory seed\"},\n {\"box_2d\": [295, 303, 325, 341], \"label\": \"chicory seed\"},\n {\"box_2d\": [326, 283, 353, 322], \"label\": \"chicory seed\"},\n {\"box_2d\": [356, 300, 382, 338], \"label\": \"chicory seed\"},\n {\"box_2d\": [321, 314, 357, 343], \"label\": \"chicory seed\"},\n {\"box_2d\": [264, 330, 301, 355], \"label\": \"chicory seed\"},\n {\"box_2d\": [263, 356, 306, 382], \"label\": \"chicory seed\"},\n {\"box_2d\": [209, 341, 227, 381], \"label\": \"chicory seed\"},\n {\"box_2d\": [230, 370, 249, 410], \"label\": \"chicory seed\"},\n {\"box_2d\": [247, 374, 266, 415], \"label\": \"chicory seed\"},\n {\"box_2d\": [182, 403, 208, 442], \"label\": \"chicory seed\"},\n {\"box_2d\": [203, 409, 234, 444], \"label\": \"chicory seed\"},\n {\"box_2d\": [194, 444, 230, 463], \"label\": \"chicory seed\"},\n {\"box_2d\": [200, 468, 240, 488], \"label\": \"chicory seed\"},\n {\"box_2d\": [171, 461, 198, 498], \"label\": \"chicory seed\"},\n {\"box_2d\": [168, 502, 187, 542], \"label\": \"chicory seed\"},\n {\"box_2d\": [190, 489, 209, 531], \"label\": \"chicory seed\"},\n {\"box_2d\": [182, 545, 209, 579], \"label\": \"chicory seed\"},\n {\"box_2d\": [171, 550, 196, 589], \"label\": \"chicory seed\"},\n {\"box_2d\": [190, 573, 225, 604], \"label\": \"chicory seed\"},\n {\"box_2d\": [189, 606, 221, 643], \"label\": \"chicory seed\"},\n {\"box_2d\": [200, 657, 234, 690], \"label\": \"chicory seed\"},\n {\"box_2d\": [224, 641, 248, 683], \"label\": \"chicory seed\"},\n {\"box_2d\": [219, 696, 250, 728], \"label\": \"chicory seed\"},\n {\"box_2d\": [250, 650, 271, 688], \"label\": \"chicory seed\"},\n {\"box_2d\": [249, 695, 268, 734], \"label\": \"chicory seed\"},\n {\"box_2d\": [250, 733, 289, 754], \"label\": \"chicory seed\"},\n {\"box_2d\": [258, 759, 297, 787], \"label\": \"chicory seed\"},\n {\"box_2d\": [264, 634, 289, 675], \"label\": \"chicory seed\"},\n {\"box_2d\": [274, 680, 311, 699], \"label\": \"chicory seed\"},\n {\"box_2d\": [268, 702, 307, 723], \"label\": \"chicory seed\"},\n {\"box_2d\": [283, 720, 319, 748], \"label\": \"chicory seed\"},\n {\"box_2d\": [291, 743, 320, 775], \"label\": \"chicory seed\"},\n {\"box_2d\": [320, 754, 338, 796], \"label\": \"chicory seed\"},\n {\"box_2d\": [312, 698, 346, 734], \"label\": \"chicory seed\"},\n {\"box_2d\": [324, 718, 357, 752], \"label\": \"chicory seed\"},\n {\"box_2d\": [332, 795, 358, 834], \"label\": \"chicory seed\"},\n {\"box_2d\": [355, 819, 390, 851], \"label\": \"chicory seed\"},\n {\"box_2d\": [363, 801, 401, 822], \"label\": \"chicory seed\"},\n {\"box_2d\": [415, 831, 452, 864], \"label\": \"chicory seed\"},\n {\"box_2d\": [446, 858, 484, 882], \"label\": \"chicory seed\"},\n {\"box_2d\": [514, 858, 553, 878], \"label\": \"chicory seed\"},\n {\"box_2d\": [574, 846, 612, 867], \"label\": \"chicory seed\"},\n {\"box_2d\": [468, 798, 493, 839], \"label\": \"chicory seed\"},\n {\"box_2d\": [485, 797, 511, 838], \"label\": \"chicory seed\"},\n {\"box_2d\": [512, 791, 531, 834], \"label\": \"chicory seed\"},\n {\"box_2d\": [535, 811, 564, 849], \"label\": \"chicory seed\"},\n {\"box_2d\": [592, 803, 624, 840], \"label\": \"chicory seed\"},\n {\"box_2d\": [633, 794, 654, 835], \"label\": \"chicory seed\"},\n {\"box_2d\": [680, 790, 719, 815], \"label\": \"chicory seed\"},\n {\"box_2d\": [725, 736, 767, 754], \"label\": \"chicory seed\"},\n {\"box_2d\": [779, 673, 799, 712], \"label\": \"chicory seed\"},\n {\"box_2d\": [796, 657, 818, 699], \"label\": \"chicory seed\"},\n {\"box_2d\": [796, 637, 833, 658], \"label\": \"chicory seed\"},\n {\"box_2d\": [761, 635, 796, 668], \"label\": \"chicory seed\"},\n {\"box_2d\": [771, 608, 809, 632], \"label\": \"chicory seed\"},\n {\"box_2d\": [750, 595, 785, 626], \"label\": \"chicory seed\"},\n {\"box_2d\": [747, 646, 773, 684], \"label\": \"chicory seed\"},\n {\"box_2d\": [737, 692, 756, 736], \"label\": \"chicory seed\"},\n {\"box_2d\": [725, 665, 743, 704], \"label\": \"chicory seed\"},\n {\"box_2d\": [702, 719, 728, 757], \"label\": \"chicory seed\"},\n {\"box_2d\": [697, 681, 714, 720], \"label\": \"chicory seed\"},\n {\"box_2d\": [682, 700, 704, 741], \"label\": \"chicory seed\"},\n {\"box_2d\": [663, 720, 691, 759], \"label\": \"chicory seed\"},\n {\"box_2d\": [638, 762, 670, 796], \"label\": \"chicory seed\"},\n {\"box_2d\": [647, 714, 667, 757], \"label\": \"chicory seed\"},\n {\"box_2d\": [628, 720, 647, 760], \"label\": \"chicory seed\"},\n {\"box_2d\": [614, 758, 634, 798], \"label\": \"chicory seed\"},\n {\"box_2d\": [590, 762, 619, 800], \"label\": \"chicory seed\"},\n {\"box_2d\": [568, 756, 591, 796], \"label\": \"chicory seed\"},\n {\"box_2d\": [553, 784, 586, 821], \"label\": \"chicory seed\"},\n {\"box_2d\": [531, 763, 552, 803], \"label\": \"chicory seed\"},\n {\"box_2d\": [493, 765, 524, 801], \"label\": \"chicory seed\"},\n {\"box_2d\": [465, 756, 505, 780], \"label\": \"chicory seed\"},\n {\"box_2d\": [463, 723, 483, 761], \"label\": \"chicory seed\"},\n {\"box_2d\": [482, 716, 501, 755], \"label\": \"chicory seed\"},\n {\"box_2d\": [502, 728, 530, 767], \"label\": \"chicory seed\"},\n {\"box_2d\": [519, 721, 551, 759], \"label\": \"chicory seed\"},\n {\"box_2d\": [527, 707, 565, 737], \"label\": \"chicory seed\"},\n {\"box_2d\": [568, 735, 608, 757], \"label\": \"chicory seed\"},\n {\"box_2d\": [567, 713, 607, 734], \"label\": \"chicory seed\"},\n {\"box_2d\": [610, 712, 631, 753], \"label\": \"chicory seed\"},\n {\"box_2d\": [575, 688, 613, 720], \"label\": \"chicory seed\"},\n {\"box_2d\": [588, 678, 624, 706], \"label\": \"chicory seed\"},\n {\"box_2d\": [581, 661, 620, 683], \"label\": \"chicory seed\"},\n {\"box_2d\": [623, 663, 662, 685], \"label\": \"chicory seed\"},\n {\"box_2d\": [641, 678, 682, 700], \"label\": \"chicory seed\"},\n {\"box_2d\": [674, 643, 707, 680], \"label\": \"chicory seed\"},\n {\"box_2d\": [682, 610, 720, 641], \"label\": \"chicory seed\"},\n {\"box_2d\": [721, 583, 753, 624], \"label\": \"chicory seed\"},\n {\"box_2d\": [712, 562, 751, 597], \"label\": \"chicory seed\"},\n {\"box_2d\": [690, 544, 711, 588], \"label\": \"chicory seed\"},\n {\"box_2d\": [669, 562, 691, 601], \"label\": \"chicory seed\"},\n {\"box_2d\": [646, 574, 676, 610], \"label\": \"chicory seed\"},\n {\"box_2d\": [647, 636, 674, 673], \"label\": \"chicory seed\"},\n {\"box_2d\": [641, 612, 670, 649], \"label\": \"chicory seed\"},\n {\"box_2d\": [602, 646, 642, 664], \"label\": \"chicory seed\"},\n {\"box_2d\": [625, 592, 645, 633], \"label\": \"chicory seed\"},\n {\"box_2d\": [585, 620, 617, 658], \"label\": \"chicory seed\"},\n {\"box_2d\": [592, 592, 625, 630], \"label\": \"chicory seed\"},\n {\"box_2d\": [565, 625, 590, 667], \"label\": \"chicory seed\"},\n {\"box_2d\": [548, 670, 574, 712], \"label\": \"chicory seed\"},\n {\"box_2d\": [529, 665, 556, 705], \"label\": \"chicory seed\"},\n {\"box_2d\": [498, 683, 524, 719], \"label\": \"chicory seed\"},\n {\"box_2d\": [488, 659, 526, 682], \"label\": \"chicory seed\"},\n {\"box_2d\": [461, 677, 485, 719], \"label\": \"chicory seed\"},\n {\"box_2d\": [431, 744, 461, 783], \"label\": \"chicory seed\"},\n {\"box_2d\": [420, 752, 444, 792], \"label\": \"chicory seed\"},\n {\"box_2d\": [397, 767, 429, 804], \"label\": \"chicory seed\"},\n {\"box_2d\": [406, 720, 427, 762], \"label\": \"chicory seed\"},\n {\"box_2d\": [363, 731, 385, 771], \"label\": \"chicory seed\"},\n {\"box_2d\": [362, 696, 396, 733], \"label\": \"chicory seed\"},\n {\"box_2d\": [366, 679, 403, 709], \"label\": \"chicory seed\"},\n {\"box_2d\": [414, 688, 444, 721], \"label\": \"chicory seed\"},\n {\"box_2d\": [427, 680, 461, 709], \"label\": \"chicory seed\"},\n {\"box_2d\": [425, 652, 464, 676], \"label\": \"chicory seed\"},\n {\"box_2d\": [398, 655, 419, 696], \"label\": \"chicory seed\"},\n {\"box_2d\": [375, 615, 398, 657], \"label\": \"chicory seed\"},\n {\"box_2d\": [338, 615, 369, 649], \"label\": \"chicory seed\"},\n {\"box_2d\": [300, 613, 338, 639], \"label\": \"chicory seed\"},\n {\"box_2d\": [226, 592, 263, 615], \"label\": \"chicory seed\"},\n {\"box_2d\": [264, 578, 285, 620], \"label\": \"chicory seed\"},\n {\"box_2d\": [217, 534, 252, 568], \"label\": \"chicory seed\"},\n {\"box_2d\": [252, 537, 278, 578], \"label\": \"chicory seed\"},\n {\"box_2d\": [275, 545, 312, 577], \"label\": \"chicory seed\"},\n {\"box_2d\": [230, 489, 263, 526], \"label\": \"chicory seed\"},\n {\"box_2d\": [244, 502, 275, 540], \"label\": \"chicory seed\"},\n {\"box_2d\": [243, 466, 279, 495], \"label\": \"chicory seed\"},\n {\"box_2d\": [246, 426, 288, 456], \"label\": \"chicory seed\"},\n {\"box_2d\": [266, 398, 307, 419], \"label\": \"chicory seed\"},\n {\"box_2d\": [274, 440, 301, 478], \"label\": \"chicory seed\"},\n {\"box_2d\": [294, 444, 319, 483], \"label\": \"chicory seed\"},\n {\"box_2d\": [273, 488, 291, 528], \"label\": \"chicory seed\"},\n {\"box_2d\": [283, 512, 305, 551], \"label\": \"chicory seed\"},\n {\"box_2d\": [303, 498, 322, 540], \"label\": \"chicory seed\"},\n {\"box_2d\": [319, 535, 338, 577], \"label\": \"chicory seed\"},\n {\"box_2d\": [339, 539, 369, 582], \"label\": \"chicory seed\"},\n {\"box_2d\": [326, 499, 347, 543], \"label\": \"chicory seed\"},\n {\"box_2d\": [339, 491, 378, 511], \"label\": \"chicory seed\"},\n {\"box_2d\": [321, 466, 361, 492], \"label\": \"chicory seed\"},\n {\"box_2d\": [319, 443, 360, 466], \"label\": \"chicory seed\"},\n {\"box_2d\": [310, 395, 338, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [314, 357, 333, 398], \"label\": \"chicory seed\"},\n {\"box_2d\": [347, 343, 385, 371], \"label\": \"chicory seed\"},\n {\"box_2d\": [347, 365, 382, 396], \"label\": \"chicory seed\"},\n {\"box_2d\": [373, 381, 395, 420], \"label\": \"chicory seed\"},\n {\"box_2d\": [381, 366, 415, 395], \"label\": \"chicory seed\"},\n {\"box_2d\": [348, 423, 383, 458], \"label\": \"chicory seed\"},\n {\"box_2d\": [376, 471, 406, 507], \"label\": \"chicory seed\"},\n {\"box_2d\": [388, 405, 415, 443], \"label\": \"chicory seed\"},\n {\"box_2d\": [407, 420, 445, 446], \"label\": \"chicory seed\"},\n {\"box_2d\": [407, 437, 446, 466], \"label\": \"chicory seed\"},\n {\"box_2d\": [417, 395, 454, 419], \"label\": \"chicory seed\"},\n {\"box_2d\": [413, 339, 446, 374], \"label\": \"chicory seed\"},\n {\"box_2d\": [427, 365, 464, 386], \"label\": \"chicory seed\"},\n {\"box_2d\": [451, 300, 483, 336], \"label\": \"chicory seed\"},\n {\"box_2d\": [471, 301, 501, 338], \"label\": \"chicory seed\"},\n {\"box_2d\": [482, 317, 509, 357], \"label\": \"chicory seed\"},\n {\"box_2d\": [472, 365, 490, 406], \"label\": \"chicory seed\"},\n {\"box_2d\": [489, 364, 507, 405], \"label\": \"chicory seed\"},\n {\"box_2d\": [468, 405, 504, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [442, 426, 475, 460], \"label\": \"chicory seed\"},\n {\"box_2d\": [433, 479, 454, 521], \"label\": \"chicory seed\"},\n {\"box_2d\": [456, 463, 473, 503], \"label\": \"chicory seed\"},\n {\"box_2d\": [472, 442, 496, 480], \"label\": \"chicory seed\"},\n {\"box_2d\": [442, 498, 481, 528], \"label\": \"chicory seed\"},\n {\"box_2d\": [394, 533, 435, 557], \"label\": \"chicory seed\"},\n {\"box_2d\": [413, 556, 453, 578], \"label\": \"chicory seed\"},\n {\"box_2d\": [411, 574, 450, 595], \"label\": \"chicory seed\"},\n {\"box_2d\": [427, 595, 464, 620], \"label\": \"chicory seed\"},\n {\"box_2d\": [414, 611, 437, 652], \"label\": \"chicory seed\"},\n {\"box_2d\": [447, 639, 487, 660], \"label\": \"chicory seed\"},\n {\"box_2d\": [435, 523, 471, 556], \"label\": \"chicory seed\"},\n {\"box_2d\": [451, 537, 489, 567], \"label\": \"chicory seed\"},\n {\"box_2d\": [456, 556, 493, 586], \"label\": \"chicory seed\"},\n {\"box_2d\": [469, 567, 507, 603], \"label\": \"chicory seed\"},\n {\"box_2d\": [476, 595, 506, 634], \"label\": \"chicory seed\"},\n {\"box_2d\": [507, 603, 545, 623], \"label\": \"chicory seed\"},\n {\"box_2d\": [528, 623, 548, 663], \"label\": \"chicory seed\"},\n {\"box_2d\": [508, 579, 548, 600], \"label\": \"chicory seed\"},\n {\"box_2d\": [501, 538, 522, 580], \"label\": \"chicory seed\"},\n {\"box_2d\": [471, 514, 512, 535], \"label\": \"chicory seed\"},\n {\"box_2d\": [514, 501, 531, 540], \"label\": \"chicory seed\"},\n {\"box_2d\": [493, 484, 528, 505], \"label\": \"chicory seed\"},\n {\"box_2d\": [490, 463, 529, 487], \"label\": \"chicory seed\"},\n {\"box_2d\": [499, 425, 528, 461], \"label\": \"chicory seed\"},\n {\"box_2d\": [502, 394, 527, 433], \"label\": \"chicory seed\"},\n {\"box_2d\": [524, 403, 543, 444], \"label\": \"chicory seed\"},\n {\"box_2d\": [512, 367, 543, 403], \"label\": \"chicory seed\"},\n {\"box_2d\": [512, 344, 549, 378], \"label\": \"chicory seed\"},\n {\"box_2d\": [511, 330, 549, 355], \"label\": \"chicory seed\"},\n {\"box_2d\": [535, 321, 572, 350], \"label\": \"chicory seed\"},\n {\"box_2d\": [546, 349, 580, 372], \"label\": \"chicory seed\"},\n {\"box_2d\": [545, 367, 564, 408], \"label\": \"chicory seed\"},\n {\"box_2d\": [568, 371, 591, 411], \"label\": \"chicory seed\"},\n {\"box_2d\": [581, 366, 615, 404], \"label\": \"chicory seed\"},\n {\"box_2d\": [592, 354, 634, 373], \"label\": \"chicory seed\"},\n {\"box_2d\": [613, 370, 651, 391], \"label\": \"chicory seed\"},\n {\"box_2d\": [629, 379, 669, 406], \"label\": \"chicory seed\"},\n {\"box_2d\": [607, 393, 629, 433], \"label\": \"chicory seed\"},\n {\"box_2d\": [617, 411, 646, 450], \"label\": \"chicory seed\"},\n {\"box_2d\": [582, 404, 614, 442], \"label\": \"chicory seed\"},\n {\"box_2d\": [558, 406, 591, 443], \"label\": \"chicory seed\"},\n {\"box_2d\": [547, 429, 566, 471], \"label\": \"chicory seed\"},\n {\"box_2d\": [579, 445, 616, 466], \"label\": \"chicory seed\"},\n {\"box_2d\": [560, 468, 600, 491], \"label\": \"chicory seed\"},\n {\"box_2d\": [546, 479, 582, 502], \"label\": \"chicory seed\"},\n {\"box_2d\": [532, 502, 575, 523], \"label\": \"chicory seed\"},\n {\"box_2d\": [519, 545, 553, 582], \"label\": \"chicory seed\"},\n {\"box_2d\": [535, 536, 571, 571], \"label\": \"chicory seed\"},\n {\"box_2d\": [552, 527, 592, 558], \"label\": \"chicory seed\"},\n {\"box_2d\": [547, 576, 572, 616], \"label\": \"chicory seed\"},\n {\"box_2d\": [568, 582, 589, 623], \"label\": \"chicory seed\"},\n {\"box_2d\": [571, 559, 608, 590], \"label\": \"chicory seed\"},\n {\"box_2d\": [577, 496, 598, 538], \"label\": \"chicory seed\"},\n {\"box_2d\": [595, 527, 621, 567], \"label\": \"chicory seed\"},\n {\"box_2d\": [618, 526, 646, 567], \"label\": \"chicory seed\"},\n {\"box_2d\": [633, 546, 663, 585], \"label\": \"chicory seed\"},\n {\"box_2d\": [596, 490, 615, 523], \"label\": \"chicory seed\"},\n {\"box_2d\": [601, 454, 626, 493], \"label\": \"chicory seed\"},\n {\"box_2d\": [615, 490, 646, 527], \"label\": \"chicory seed\"},\n {\"box_2d\": [626, 437, 659, 474], \"label\": \"chicory seed\"},\n {\"box_2d\": [624, 460, 663, 490], \"label\": \"chicory seed\"},\n {\"box_2d\": [637, 478, 676, 499], \"label\": \"chicory seed\"},\n {\"box_2d\": [644, 498, 682, 519], \"label\": \"chicory seed\"},\n {\"box_2d\": [654, 519, 691, 545], \"label\": \"chicory seed\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 10812, "elapsed_seconds": 82.46283270802815, "metadata": {"match_method": "map", "num_predictions": 300, "num_ground_truth": 299, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3366336524486542, "attempts": 1, "retries": 0, "total_seconds": 82.5997}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 219, "image": "66_png.rf.39bf6d177f61078e6d35cc7449f636fc.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [32, 260, 94, 308], \"label\": \"not gate symbol\"},\n {\"box_2d\": [248, 108, 321, 152], \"label\": \"not gate symbol\"},\n {\"box_2d\": [250, 161, 320, 204], \"label\": \"not gate symbol\"},\n {\"box_2d\": [410, 504, 483, 547], \"label\": \"not gate symbol\"},\n {\"box_2d\": [659, 260, 720, 308], \"label\": \"not gate symbol\"},\n {\"box_2d\": [906, 260, 967, 308], \"label\": \"not gate symbol\"},\n {\"box_2d\": [155, 253, 237, 332], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [174, 567, 256, 648], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [326, 253, 408, 333], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [478, 567, 560, 648], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [631, 567, 712, 648], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [554, 777, 636, 858], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [781, 567, 864, 648], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [801, 777, 882, 858], \"label\": \"nand gate symbol\"}\n]\n```", "correct": true, "input_tokens": 1222, "output_tokens": 514, "elapsed_seconds": 6.3520351249026135, "metadata": {"match_method": "map", "num_predictions": 14, "num_ground_truth": 14, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 6.3623}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 220, "image": "car-part-detection_Car-damages-1497_png_jpg.rf.e852cda680508c1a167266952897c9ec.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [540, 81, 756, 179], \"label\": \"back bumper\"},\n {\"box_2d\": [426, 98, 543, 165], \"label\": \"tail light\"},\n {\"box_2d\": [266, 125, 405, 206], \"label\": \"back windshield\"},\n {\"box_2d\": [248, 250, 426, 474], \"label\": \"back window\"},\n {\"box_2d\": [236, 232, 734, 504], \"label\": \"back door\"},\n {\"box_2d\": [254, 507, 463, 735], \"label\": \"front window\"},\n {\"box_2d\": [401, 739, 463, 767], \"label\": \"mirror\"},\n {\"box_2d\": [238, 485, 728, 783], \"label\": \"front door\"},\n {\"box_2d\": [256, 632, 364, 781], \"label\": \"windshield\"},\n {\"box_2d\": [391, 838, 475, 950], \"label\": \"hood\"},\n {\"box_2d\": [450, 898, 540, 976], \"label\": \"headlight\"},\n {\"box_2d\": [534, 926, 744, 991], \"label\": \"front bumper\"}\n]\n```", "correct": true, "input_tokens": 1232, "output_tokens": 428, "elapsed_seconds": 5.3627710830187425, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 14, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8754124641418457, "attempts": 1, "retries": 0, "total_seconds": 5.3874}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 221, "image": "51_jpg.rf.058febb668fb3dcd1ddaf96ac46d336e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [584, 333, 697, 569], \"label\": \"blood sample tube\"},\n {\"box_2d\": [48, 281, 166, 517], \"label\": \"blood sample tube\"},\n {\"box_2d\": [166, 569, 300, 811], \"label\": \"blood sample tube\"},\n {\"box_2d\": [105, 522, 228, 762], \"label\": \"blood sample tube\"},\n {\"box_2d\": [88, 661, 159, 916], \"label\": \"blood sample tube\"},\n {\"box_2d\": [278, 653, 567, 811], \"label\": \"blood sample tube\"},\n {\"box_2d\": [483, 612, 672, 850], \"label\": \"blood sample tube\"},\n {\"box_2d\": [380, 472, 656, 639], \"label\": \"blood sample tube\"},\n {\"box_2d\": [583, 648, 756, 888], \"label\": \"blood sample tube\"},\n {\"box_2d\": [686, 412, 756, 655], \"label\": \"blood sample tube\"},\n {\"box_2d\": [525, 327, 634, 566], \"label\": \"blood sample tube\"},\n {\"box_2d\": [656, 195, 761, 442], \"label\": \"blood sample tube\"},\n {\"box_2d\": [350, 197, 636, 338], \"label\": \"blood sample tube\"},\n {\"box_2d\": [270, 278, 569, 405], \"label\": \"blood sample tube\"},\n {\"box_2d\": [147, 231, 400, 427], \"label\": \"blood sample tube\"},\n {\"box_2d\": [64, 194, 384, 241], \"label\": \"blood sample tube\"},\n {\"box_2d\": [181, 861, 495, 967], \"label\": \"blood sample tube\"},\n {\"box_2d\": [117, 777, 380, 956], \"label\": \"blood sample tube\"},\n {\"box_2d\": [39, 711, 100, 955], \"label\": \"blood sample tube\"},\n {\"box_2d\": [41, 467, 108, 711], \"label\": \"blood sample tube\"},\n {\"box_2d\": [167, 433, 319, 658], \"label\": \"blood sample tube\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 763, "elapsed_seconds": 9.167356749996543, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 21, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 9.1982}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 222, "image": "161056d_JPG_jpg.rf.9a7d680b73d40b7f57e4788c75d35faa.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [266, 395, 349, 530], \"label\": \"cracked insulator\"},\n {\"box_2d\": [468, 394, 558, 520], \"label\": \"cracked insulator\"}\n]\n```", "correct": false, "input_tokens": 1217, "output_tokens": 84, "elapsed_seconds": 12.902346541988663, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5049505233764648, "attempts": 1, "retries": 0, "total_seconds": 13.7505}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 223, "image": "signatures_image_176_png_jpg.rf.ba5b095c7ba79857b44be19e553b8621.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [592, 807, 635, 895], \"label\": \"signature\"},\n {\"box_2d\": [551, 656, 588, 717], \"label\": \"signature\"},\n {\"box_2d\": [562, 452, 598, 487], \"label\": \"signature\"},\n {\"box_2d\": [576, 184, 612, 223], \"label\": \"signature\"},\n {\"box_2d\": [529, 184, 581, 260], \"label\": \"signature\"}\n]\n```", "correct": true, "input_tokens": 1228, "output_tokens": 182, "elapsed_seconds": 8.200486165937036, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 8.4683}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 224, "image": "floorplan-windows-doors_10363_png.rf.022a393bcce41347db46c0ae8f821ac1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [729, 349, 804, 419], \"label\": \"door\"},\n {\"box_2d\": [644, 369, 699, 434], \"label\": \"door\"},\n {\"box_2d\": [592, 267, 639, 358], \"label\": \"door\"},\n {\"box_2d\": [459, 83, 591, 95], \"label\": \"window\"},\n {\"box_2d\": [485, 692, 535, 706], \"label\": \"window\"},\n {\"box_2d\": [600, 693, 672, 706], \"label\": \"window\"},\n {\"box_2d\": [537, 635, 588, 705], \"label\": \"door\"},\n {\"box_2d\": [108, 86, 194, 98], \"label\": \"window\"},\n {\"box_2d\": [174, 246, 227, 302], \"label\": \"door\"},\n {\"box_2d\": [328, 88, 355, 100], \"label\": \"window\"},\n {\"box_2d\": [206, 313, 241, 356], \"label\": \"door\"},\n {\"box_2d\": [248, 389, 293, 440], \"label\": \"door\"},\n {\"box_2d\": [259, 528, 304, 593], \"label\": \"door\"},\n {\"box_2d\": [283, 693, 319, 706], \"label\": \"window\"},\n {\"box_2d\": [129, 691, 165, 705], \"label\": \"window\"},\n {\"box_2d\": [169, 638, 221, 761], \"label\": \"door\"},\n {\"box_2d\": [169, 444, 222, 502], \"label\": \"door\"}\n]\n```", "correct": false, "input_tokens": 1223, "output_tokens": 585, "elapsed_seconds": 9.598536957986653, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 19, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6108911037445068, "attempts": 1, "retries": 0, "total_seconds": 9.6566}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 225, "image": "paper-parts_194472_30_jpg.rf.b0a602d4dcc7284ce0bac985bedfd7a6.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [93, 176, 213, 882], \"label\": \"paragraph\"},\n {\"box_2d\": [233, 176, 248, 417], \"label\": \"paragraph\"},\n {\"box_2d\": [267, 176, 352, 882], \"label\": \"paragraph\"},\n {\"box_2d\": [380, 415, 530, 703], \"label\": \"figure\"},\n {\"box_2d\": [552, 447, 567, 671], \"label\": \"figure caption\"},\n {\"box_2d\": [592, 235, 606, 511], \"label\": \"paragraph\"},\n {\"box_2d\": [586, 536, 622, 680], \"label\": \"equation\"},\n {\"box_2d\": [630, 403, 665, 655], \"label\": \"equation\"},\n {\"box_2d\": [669, 453, 697, 605], \"label\": \"equation\"},\n {\"box_2d\": [703, 456, 739, 882], \"label\": \"equation\"},\n {\"box_2d\": [748, 176, 798, 882], \"label\": \"paragraph\"},\n {\"box_2d\": [826, 235, 840, 509], \"label\": \"paragraph\"},\n {\"box_2d\": [817, 514, 860, 646], \"label\": \"equation\"},\n {\"box_2d\": [868, 389, 882, 667], \"label\": \"equation\"},\n {\"box_2d\": [886, 521, 899, 538], \"label\": \"page number\"}\n]\n```", "correct": false, "input_tokens": 1248, "output_tokens": 523, "elapsed_seconds": 6.539604583056644, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7413860559463501, "attempts": 1, "retries": 0, "total_seconds": 6.581}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 226, "image": "IMG_6641_jpeg_jpg.rf.d4a1ba083ff18ae1c9807cc69a86b03e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [566, 2, 598, 198], \"label\": \"blue poker chip\"},\n {\"box_2d\": [593, 2, 616, 196], \"label\": \"blue poker chip\"},\n {\"box_2d\": [610, 2, 635, 196], \"label\": \"blue poker chip\"},\n {\"box_2d\": [626, 2, 653, 195], \"label\": \"blue poker chip\"},\n {\"box_2d\": [644, 0, 671, 196], \"label\": \"blue poker chip\"},\n {\"box_2d\": [659, 0, 689, 196], \"label\": \"blue poker chip\"},\n {\"box_2d\": [676, 1, 708, 196], \"label\": \"blue poker chip\"},\n {\"box_2d\": [676, 195, 711, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [659, 196, 692, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [641, 196, 673, 377], \"label\": \"green poker chip\"},\n {\"box_2d\": [625, 195, 656, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [607, 195, 638, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [592, 196, 619, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [577, 196, 601, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [560, 196, 585, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [546, 196, 567, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [529, 196, 550, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [512, 196, 533, 379], \"label\": \"green poker chip\"},\n {\"box_2d\": [427, 384, 452, 562], \"label\": \"red poker chip\"},\n {\"box_2d\": [445, 383, 469, 562], \"label\": \"red poker chip\"},\n {\"box_2d\": [461, 383, 483, 563], \"label\": \"red poker chip\"},\n {\"box_2d\": [478, 383, 499, 564], \"label\": \"red poker chip\"},\n {\"box_2d\": [495, 383, 515, 564], \"label\": \"red poker chip\"},\n {\"box_2d\": [512, 382, 533, 564], \"label\": \"red poker chip\"},\n {\"box_2d\": [529, 383, 550, 565], \"label\": \"red poker chip\"},\n {\"box_2d\": [544, 383, 567, 565], \"label\": \"red poker chip\"},\n {\"box_2d\": [560, 383, 584, 566], \"label\": \"red poker chip\"},\n {\"box_2d\": [577, 384, 601, 565], \"label\": \"red poker chip\"},\n {\"box_2d\": [593, 385, 619, 566], \"label\": \"red poker chip\"},\n {\"box_2d\": [610, 385, 638, 565], \"label\": \"red poker chip\"},\n {\"box_2d\": [625, 385, 656, 565], \"label\": \"red poker chip\"},\n {\"box_2d\": [641, 385, 673, 566], \"label\": \"red poker chip\"},\n {\"box_2d\": [656, 385, 691, 566], \"label\": \"red poker chip\"},\n {\"box_2d\": [673, 385, 709, 568], \"label\": \"red poker chip\"},\n {\"box_2d\": [666, 571, 703, 762], \"label\": \"white poker chip\"},\n {\"box_2d\": [650, 571, 686, 762], \"label\": \"white poker chip\"},\n {\"box_2d\": [635, 572, 667, 761], \"label\": \"white poker chip\"},\n {\"box_2d\": [620, 572, 649, 761], \"label\": \"white poker chip\"},\n {\"box_2d\": [604, 571, 630, 760], \"label\": \"white poker chip\"},\n {\"box_2d\": [588, 570, 612, 759], \"label\": \"white poker chip\"},\n {\"box_2d\": [571, 570, 594, 759], \"label\": \"white poker chip\"},\n {\"box_2d\": [551, 569, 576, 758], \"label\": \"white poker chip\"},\n {\"box_2d\": [555, 756, 617, 960], \"label\": \"orange poker chip\"},\n {\"box_2d\": [585, 756, 636, 960], \"label\": \"orange poker chip\"},\n {\"box_2d\": [607, 757, 654, 960], \"label\": \"orange poker chip\"},\n {\"box_2d\": [625, 758, 672, 962], \"label\": \"orange poker chip\"},\n {\"box_2d\": [640, 758, 689, 963], \"label\": \"orange poker chip\"},\n {\"box_2d\": [656, 760, 708, 964], \"label\": \"orange poker chip\"},\n {\"box_2d\": [672, 760, 728, 964], \"label\": \"orange poker chip\"}\n]\n```", "correct": true, "input_tokens": 1243, "output_tokens": 1762, "elapsed_seconds": 14.297235541045666, "metadata": {"match_method": "map", "num_predictions": 49, "num_ground_truth": 49, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 14.3236}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 227, "image": "69_jpg.rf.832734e487772068d6b9bf469788de8f.jpg", "expected": "", "predicted": "```json\n[{\"box_2d\": [535, 481, 745, 700], \"label\": \"blood sample tube\"}, {\"box_2d\": [439, 493, 520, 735], \"label\": \"blood sample tube\"}, {\"box_2d\": [348, 281, 409, 518], \"label\": \"blood sample tube\"}, {\"box_2d\": [79, 589, 403, 634], \"label\": \"blood sample tube\"}, {\"box_2d\": [17, 634, 323, 746], \"label\": \"blood sample tube\"}]```", "correct": true, "input_tokens": 1227, "output_tokens": 176, "elapsed_seconds": 3.564404624979943, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 3.5786}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 228, "image": "uav20221018_ixfZ_3857_431_png.rf.d4d8056faccd6284b96584515af21de0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [72, 249, 102, 275], \"label\": \"banana tree\"},\n {\"box_2d\": [35, 182, 83, 226], \"label\": \"banana tree\"},\n {\"box_2d\": [0, 241, 41, 286], \"label\": \"banana tree\"},\n {\"box_2d\": [2, 434, 48, 471], \"label\": \"banana tree\"},\n {\"box_2d\": [36, 493, 83, 529], \"label\": \"banana tree\"},\n {\"box_2d\": [73, 425, 114, 478], \"label\": \"banana tree\"},\n {\"box_2d\": [110, 496, 139, 523], \"label\": \"banana tree\"},\n {\"box_2d\": [141, 438, 181, 483], \"label\": \"banana tree\"},\n {\"box_2d\": [178, 496, 211, 535], \"label\": \"banana tree\"},\n {\"box_2d\": [209, 441, 249, 488], \"label\": \"banana tree\"},\n {\"box_2d\": [238, 493, 287, 529], \"label\": \"banana tree\"},\n {\"box_2d\": [0, 711, 31, 750], \"label\": \"banana tree\"},\n {\"box_2d\": [21, 663, 55, 699], \"label\": \"banana tree\"},\n {\"box_2d\": [59, 715, 97, 752], \"label\": \"banana tree\"},\n {\"box_2d\": [91, 665, 128, 702], \"label\": \"banana tree\"},\n {\"box_2d\": [128, 718, 162, 758], \"label\": \"banana tree\"},\n {\"box_2d\": [166, 669, 198, 698], \"label\": \"banana tree\"},\n {\"box_2d\": [199, 719, 232, 752], \"label\": \"banana tree\"},\n {\"box_2d\": [230, 672, 263, 704], \"label\": \"banana tree\"},\n {\"box_2d\": [266, 722, 302, 751], \"label\": \"banana tree\"},\n {\"box_2d\": [306, 677, 344, 707], \"label\": \"banana tree\"},\n {\"box_2d\": [336, 729, 371, 758], \"label\": \"banana tree\"},\n {\"box_2d\": [373, 675, 408, 705], \"label\": \"banana tree\"},\n {\"box_2d\": [39, 910, 69, 938], \"label\": \"banana tree\"},\n {\"box_2d\": [0, 962, 36, 987], \"label\": \"banana tree\"},\n {\"box_2d\": [66, 960, 108, 991], \"label\": \"banana tree\"},\n {\"box_2d\": [110, 902, 150, 939], \"label\": \"banana tree\"},\n {\"box_2d\": [138, 954, 178, 992], \"label\": \"banana tree\"},\n {\"box_2d\": [182, 916, 212, 949], \"label\": \"banana tree\"},\n {\"box_2d\": [254, 926, 286, 951], \"label\": \"banana tree\"},\n {\"box_2d\": [209, 962, 255, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [277, 976, 319, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [321, 927, 358, 962], \"label\": \"banana tree\"},\n {\"box_2d\": [388, 934, 428, 966], \"label\": \"banana tree\"},\n {\"box_2d\": [459, 939, 495, 972], \"label\": \"banana tree\"},\n {\"box_2d\": [526, 939, 559, 969], \"label\": \"banana tree\"},\n {\"box_2d\": [356, 976, 391, 1000], \"label\": \"banana tree\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 1284, "elapsed_seconds": 12.037208000081591, "metadata": {"match_method": "map", "num_predictions": 37, "num_ground_truth": 38, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9702970385551453, "attempts": 1, "retries": 0, "total_seconds": 12.1442}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 229, "image": "f39_jpg.rf.8a677bbf5bbbcde071dc3887db6e2b75.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 353, 370, 682], \"label\": \"wildfire\"},\n {\"box_2d\": [298, 650, 789, 1000], \"label\": \"wildfire\"},\n {\"box_2d\": [0, 444, 603, 949], \"label\": \"wildfire\"},\n {\"box_2d\": [0, 260, 232, 616], \"label\": \"wildfire\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 147, "elapsed_seconds": 4.954743416979909, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 5.0841}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 230, "image": "wood-log-detection_003_png_jpg.rf.34aeb3fc6262ec00696c0cc722964b3e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [56, 273, 108, 327], \"label\": \"log cross-section\"},\n {\"box_2d\": [50, 412, 117, 459], \"label\": \"log cross-section\"},\n {\"box_2d\": [75, 353, 128, 405], \"label\": \"log cross-section\"},\n {\"box_2d\": [88, 327, 114, 358], \"label\": \"log cross-section\"},\n {\"box_2d\": [92, 294, 134, 336], \"label\": \"log cross-section\"},\n {\"box_2d\": [88, 247, 130, 294], \"label\": \"log cross-section\"},\n {\"box_2d\": [111, 214, 152, 259], \"label\": \"log cross-section\"},\n {\"box_2d\": [117, 258, 159, 305], \"label\": \"log cross-section\"},\n {\"box_2d\": [103, 334, 153, 386], \"label\": \"log cross-section\"},\n {\"box_2d\": [103, 406, 152, 444], \"label\": \"log cross-section\"},\n {\"box_2d\": [112, 445, 152, 484], \"label\": \"log cross-section\"},\n {\"box_2d\": [111, 484, 161, 530], \"label\": \"log cross-section\"},\n {\"box_2d\": [109, 530, 150, 577], \"label\": \"log cross-section\"},\n {\"box_2d\": [108, 575, 169, 622], \"label\": \"log cross-section\"},\n {\"box_2d\": [83, 605, 145, 659], \"label\": \"log cross-section\"},\n {\"box_2d\": [134, 639, 173, 667], \"label\": \"log cross-section\"},\n {\"box_2d\": [144, 595, 195, 647], \"label\": \"log cross-section\"},\n {\"box_2d\": [134, 528, 195, 570], \"label\": \"log cross-section\"},\n {\"box_2d\": [141, 491, 194, 536], \"label\": \"log cross-section\"},\n {\"box_2d\": [139, 452, 189, 491], \"label\": \"log cross-section\"},\n {\"box_2d\": [142, 408, 188, 450], \"label\": \"log cross-section\"},\n {\"box_2d\": [136, 377, 194, 412], \"label\": \"log cross-section\"},\n {\"box_2d\": [136, 323, 191, 377], \"label\": \"log cross-section\"},\n {\"box_2d\": [131, 305, 155, 334], \"label\": \"log cross-section\"},\n {\"box_2d\": [148, 286, 200, 336], \"label\": \"log cross-section\"},\n {\"box_2d\": [139, 223, 191, 275], \"label\": \"log cross-section\"},\n {\"box_2d\": [130, 173, 180, 227], \"label\": \"log cross-section\"},\n {\"box_2d\": [166, 156, 203, 206], \"label\": \"log cross-section\"},\n {\"box_2d\": [169, 203, 211, 256], \"label\": \"log cross-section\"},\n {\"box_2d\": [188, 159, 241, 214], \"label\": \"log cross-section\"},\n {\"box_2d\": [230, 178, 298, 238], \"label\": \"log cross-section\"},\n {\"box_2d\": [202, 211, 300, 294], \"label\": \"log cross-section\"},\n {\"box_2d\": [164, 253, 214, 298], \"label\": \"log cross-section\"},\n {\"box_2d\": [200, 277, 291, 328], \"label\": \"log cross-section\"},\n {\"box_2d\": [202, 311, 289, 361], \"label\": \"log cross-section\"},\n {\"box_2d\": [177, 342, 214, 380], \"label\": \"log cross-section\"},\n {\"box_2d\": [202, 362, 242, 408], \"label\": \"log cross-section\"},\n {\"box_2d\": [184, 397, 216, 430], \"label\": \"log cross-section\"},\n {\"box_2d\": [180, 428, 219, 469], \"label\": \"log cross-section\"},\n {\"box_2d\": [205, 412, 233, 447], \"label\": \"log cross-section\"},\n {\"box_2d\": [223, 400, 302, 439], \"label\": \"log cross-section\"},\n {\"box_2d\": [236, 355, 308, 408], \"label\": \"log cross-section\"},\n {\"box_2d\": [203, 448, 244, 491], \"label\": \"log cross-section\"},\n {\"box_2d\": [184, 466, 203, 491], \"label\": \"log cross-section\"},\n {\"box_2d\": [189, 484, 234, 523], \"label\": \"log cross-section\"},\n {\"box_2d\": [186, 523, 206, 558], \"label\": \"log cross-section\"},\n {\"box_2d\": [202, 523, 250, 561], \"label\": \"log cross-section\"},\n {\"box_2d\": [177, 562, 223, 598], \"label\": \"log cross-section\"},\n {\"box_2d\": [219, 556, 258, 594], \"label\": \"log cross-section\"},\n {\"box_2d\": [189, 594, 242, 642], \"label\": \"log cross-section\"},\n {\"box_2d\": [123, 662, 189, 720], \"label\": \"log cross-section\"},\n {\"box_2d\": [167, 642, 225, 683], \"label\": \"log cross-section\"},\n {\"box_2d\": [184, 675, 209, 705], \"label\": \"log cross-section\"},\n {\"box_2d\": [200, 650, 256, 697], \"label\": \"log cross-section\"},\n {\"box_2d\": [206, 680, 247, 728], \"label\": \"log cross-section\"},\n {\"box_2d\": [244, 675, 294, 722], \"label\": \"log cross-section\"},\n {\"box_2d\": [261, 631, 314, 681], \"label\": \"log cross-section\"},\n {\"box_2d\": [227, 608, 275, 653], \"label\": \"log cross-section\"},\n {\"box_2d\": [255, 583, 309, 631], \"label\": \"log cross-section\"},\n {\"box_2d\": [248, 536, 314, 586], \"label\": \"log cross-section\"},\n {\"box_2d\": [230, 489, 286, 528], \"label\": \"log cross-section\"},\n {\"box_2d\": [231, 434, 312, 489], \"label\": \"log cross-section\"},\n {\"box_2d\": [306, 464, 344, 497], \"label\": \"log cross-section\"},\n {\"box_2d\": [300, 412, 342, 456], \"label\": \"log cross-section\"},\n {\"box_2d\": [327, 372, 348, 422], \"label\": \"log cross-section\"},\n {\"box_2d\": [309, 344, 345, 381], \"label\": \"log cross-section\"},\n {\"box_2d\": [294, 297, 327, 336], \"label\": \"log cross-section\"},\n {\"box_2d\": [325, 306, 350, 341], \"label\": \"log cross-section\"},\n {\"box_2d\": [294, 248, 331, 297], \"label\": \"log cross-section\"},\n {\"box_2d\": [303, 209, 350, 262], \"label\": \"log cross-section\"},\n {\"box_2d\": [330, 267, 350, 308], \"label\": \"log cross-section\"},\n {\"box_2d\": [331, 489, 347, 527], \"label\": \"log cross-section\"},\n {\"box_2d\": [302, 509, 344, 552], \"label\": \"log cross-section\"},\n {\"box_2d\": [317, 555, 345, 594], \"label\": \"log cross-section\"},\n {\"box_2d\": [309, 595, 344, 634], \"label\": \"log cross-section\"},\n {\"box_2d\": [303, 650, 338, 691], \"label\": \"log cross-section\"},\n {\"box_2d\": [331, 656, 341, 678], \"label\": \"log cross-section\"}\n]\n```", "correct": false, "input_tokens": 1228, "output_tokens": 2854, "elapsed_seconds": 25.558885917067528, "metadata": {"match_method": "map", "num_predictions": 77, "num_ground_truth": 78, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.16085301339626312, "attempts": 1, "retries": 0, "total_seconds": 25.583}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 231, "image": "basketball-player-detection_boston-celtics-new-york-knicks-game-1-q1-04-28-04-20-0185_png.rf.5bf3baa6a3ce5adfe29dab142647c8bc.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [504, 452, 795, 509], \"label\": \"player\"},\n {\"box_2d\": [520, 412, 871, 463], \"label\": \"player taking jump shot\"},\n {\"box_2d\": [349, 619, 610, 672], \"label\": \"player\"},\n {\"box_2d\": [294, 571, 514, 646], \"label\": \"player\"},\n {\"box_2d\": [244, 453, 462, 506], \"label\": \"player\"},\n {\"box_2d\": [179, 381, 376, 421], \"label\": \"player\"},\n {\"box_2d\": [297, 300, 506, 333], \"label\": \"player\"},\n {\"box_2d\": [377, 276, 604, 332], \"label\": \"player\"},\n {\"box_2d\": [342, 152, 550, 219], \"label\": \"player\"},\n {\"box_2d\": [254, 141, 457, 190], \"label\": \"player\"},\n {\"box_2d\": [213, 0, 415, 43], \"label\": \"referee\"},\n {\"box_2d\": [686, 555, 987, 630], \"label\": \"referee\"},\n {\"box_2d\": [258, 697, 467, 738], \"label\": \"referee\"},\n {\"box_2d\": [785, 589, 811, 604], \"label\": \"jersey number\"},\n {\"box_2d\": [652, 434, 678, 444], \"label\": \"jersey number\"},\n {\"box_2d\": [398, 645, 421, 654], \"label\": \"jersey number\"},\n {\"box_2d\": [235, 398, 252, 410], \"label\": \"jersey number\"},\n {\"box_2d\": [401, 184, 422, 193], \"label\": \"jersey number\"},\n {\"box_2d\": [310, 155, 331, 166], \"label\": \"jersey number\"},\n {\"box_2d\": [332, 470, 365, 487], \"label\": \"basketball\"},\n {\"box_2d\": [202, 622, 267, 659], \"label\": \"basket rim\"}\n]\n```", "correct": false, "input_tokens": 1251, "output_tokens": 736, "elapsed_seconds": 29.572246541967615, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 23, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7533003091812134, "attempts": 1, "retries": 0, "total_seconds": 29.7104}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 232, "image": "construction-safety_ppe_0016_jpg.rf.d53d80274c0b6fdd6cccc30b2f5316b2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [278, 745, 392, 855], \"label\": \"safety helmet\"},\n {\"box_2d\": [323, 62, 1000, 297], \"label\": \"person\"},\n {\"box_2d\": [328, 333, 424, 404], \"label\": \"safety helmet\"},\n {\"box_2d\": [461, 574, 801, 703], \"label\": \"safety vest\"},\n {\"box_2d\": [287, 137, 999, 293], \"label\": \"person\"},\n {\"box_2d\": [485, 691, 864, 797], \"label\": \"safety vest\"},\n {\"box_2d\": [328, 253, 954, 444], \"label\": \"person\"},\n {\"box_2d\": [322, 69, 434, 178], \"label\": \"safety helmet\"},\n {\"box_2d\": [478, 458, 787, 594], \"label\": \"safety vest\"},\n {\"box_2d\": [325, 446, 949, 593], \"label\": \"person\"},\n {\"box_2d\": [307, 573, 886, 718], \"label\": \"person\"},\n {\"box_2d\": [287, 184, 375, 259], \"label\": \"safety helmet\"},\n {\"box_2d\": [466, 747, 861, 902], \"label\": \"safety vest\"},\n {\"box_2d\": [280, 667, 1000, 903], \"label\": \"person\"},\n {\"box_2d\": [324, 485, 432, 573], \"label\": \"safety helmet\"},\n {\"box_2d\": [484, 259, 851, 442], \"label\": \"safety vest\"},\n {\"box_2d\": [362, 601, 880, 798], \"label\": \"person\"},\n {\"box_2d\": [362, 679, 464, 779], \"label\": \"safety helmet\"},\n {\"box_2d\": [307, 576, 393, 675], \"label\": \"safety helmet\"}\n]\n```", "correct": true, "input_tokens": 1222, "output_tokens": 670, "elapsed_seconds": 33.1662013749592, "metadata": {"match_method": "map", "num_predictions": 19, "num_ground_truth": 19, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 34.684}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 233, "image": "ind_jpeg_jpg.rf.838960e9a8a04626878832d54c63b122.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [769, 55, 833, 81], \"label\": \"dimension annotation\"},\n {\"box_2d\": [654, 339, 718, 402], \"label\": \"dimension annotation\"},\n {\"box_2d\": [661, 430, 715, 513], \"label\": \"dimension annotation\"},\n {\"box_2d\": [637, 686, 653, 725], \"label\": \"dimension annotation\"},\n {\"box_2d\": [637, 718, 653, 845], \"label\": \"dimension annotation\"},\n {\"box_2d\": [637, 838, 653, 875], \"label\": \"dimension annotation\"},\n {\"box_2d\": [727, 584, 790, 610], \"label\": \"dimension annotation\"},\n {\"box_2d\": [790, 583, 832, 608], \"label\": \"dimension annotation\"},\n {\"box_2d\": [765, 554, 782, 576], \"label\": \"dimension annotation\"},\n {\"box_2d\": [690, 936, 832, 962], \"label\": \"dimension annotation\"},\n {\"box_2d\": [368, 70, 429, 151], \"label\": \"dimension annotation\"},\n {\"box_2d\": [469, 66, 513, 128], \"label\": \"dimension annotation\"},\n {\"box_2d\": [558, 314, 575, 410], \"label\": \"dimension annotation\"},\n {\"box_2d\": [588, 171, 604, 410], \"label\": \"dimension annotation\"},\n {\"box_2d\": [357, 531, 400, 618], \"label\": \"dimension annotation\"},\n {\"box_2d\": [914, 207, 984, 978], \"label\": \"technical drawing table\"}\n]\n```", "correct": false, "input_tokens": 1233, "output_tokens": 569, "elapsed_seconds": 6.8124779999488965, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5086632966995239, "attempts": 1, "retries": 0, "total_seconds": 6.8267}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 234, "image": "frame_0102_jpg.rf.17d6c3b1d93b1bd2e8d8880687a7f794.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [960, 294, 1000, 319], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [858, 306, 908, 333], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [881, 366, 932, 394], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [898, 430, 947, 458], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [914, 493, 964, 521], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [746, 297, 796, 326], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [765, 358, 814, 386], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [781, 421, 833, 451], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [799, 487, 849, 515], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [686, 490, 738, 520], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [670, 425, 720, 456], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [653, 361, 703, 390], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [633, 301, 686, 329], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [525, 312, 575, 340], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [540, 372, 591, 401], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [556, 436, 608, 465], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [571, 501, 622, 530], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [416, 307, 463, 335], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [425, 366, 474, 395], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [433, 427, 483, 457], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [453, 490, 502, 519], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [349, 504, 394, 533], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [329, 441, 378, 470], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [322, 379, 369, 408], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [311, 322, 357, 348], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [213, 332, 260, 357], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [222, 389, 266, 417], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [229, 450, 275, 477], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [248, 508, 293, 536], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [119, 329, 161, 353], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [123, 384, 164, 411], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [128, 441, 171, 468], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [131, 499, 174, 526], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [44, 504, 83, 530], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [43, 448, 84, 473], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [37, 392, 76, 418], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [36, 338, 76, 362], \"label\": \"soda bottle cap\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 1337, "elapsed_seconds": 37.2732681670459, "metadata": {"match_method": "map", "num_predictions": 37, "num_ground_truth": 38, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9702970385551453, "attempts": 1, "retries": 0, "total_seconds": 37.8423}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 235, "image": "tile_559_jpg.rf.2e36153b3f0a023e43755fc06e0c32dc.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [742, 353, 756, 422], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [666, 667, 687, 747], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [886, 0, 905, 73], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [928, 778, 952, 856], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [958, 553, 980, 597], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [321, 253, 358, 345], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [213, 452, 237, 535], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [6, 326, 28, 375], \"label\": \"ship in SAR satellite image\"}\n]\n```", "correct": true, "input_tokens": 1229, "output_tokens": 310, "elapsed_seconds": 6.2036340000340715, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 6.2513}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 236, "image": "frame_0555_jpg.rf.e5603989fbc45aefce0b30f65bdbe361.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [785, 241, 864, 289], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [610, 232, 691, 280], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [461, 235, 535, 279], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [248, 255, 315, 292], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [80, 244, 144, 282], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [60, 349, 121, 391], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [163, 336, 233, 372], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [219, 353, 278, 389], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [298, 370, 365, 408], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [406, 356, 466, 394], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [493, 348, 558, 386], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [739, 348, 825, 392], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [798, 450, 882, 490], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [769, 486, 851, 527], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [375, 434, 440, 476], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [237, 441, 305, 478], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [26, 431, 80, 463], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 354, 43, 384], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 273, 41, 306], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [45, 537, 105, 570], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 595, 49, 622], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [138, 541, 198, 572], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [423, 653, 485, 694], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [465, 549, 526, 584], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [584, 579, 654, 622], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [729, 603, 802, 645], \"label\": \"garlic on conveyor\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 934, "elapsed_seconds": 20.607190166949295, "metadata": {"match_method": "map", "num_predictions": 26, "num_ground_truth": 23, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9699162244796753, "attempts": 1, "retries": 0, "total_seconds": 20.7469}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 237, "image": "DJI_0236_JPG_jpg.rf.d7ac178bd4662b9ae881e21c92284693.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [721, 556, 895, 626], \"label\": \"excavator\"},\n {\"box_2d\": [161, 822, 368, 946], \"label\": \"tower crane\"},\n {\"box_2d\": [201, 931, 845, 1000], \"label\": \"tower crane\"},\n {\"box_2d\": [461, 384, 492, 439], \"label\": \"dump truck\"},\n {\"box_2d\": [381, 543, 415, 561], \"label\": \"concrete mixer\"},\n {\"box_2d\": [417, 231, 444, 272], \"label\": \"dump truck\"}\n]\n```", "correct": true, "input_tokens": 1209, "output_tokens": 224, "elapsed_seconds": 67.55004470900167, "metadata": {"match_method": "map", "num_predictions": 6, "num_ground_truth": 6, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 68.7272}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 238, "image": "9999981_00000_d_0000108_jpg.rf.808757c317fef3db00edefab735a3c05.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [540, 325, 629, 377], \"label\": \"car\"},\n {\"box_2d\": [393, 570, 502, 687], \"label\": \"bus\"},\n {\"box_2d\": [368, 655, 424, 715], \"label\": \"car\"},\n {\"box_2d\": [288, 231, 360, 271], \"label\": \"car\"},\n {\"box_2d\": [259, 483, 323, 521], \"label\": \"car\"},\n {\"box_2d\": [210, 495, 272, 542], \"label\": \"car\"},\n {\"box_2d\": [199, 405, 265, 444], \"label\": \"car\"},\n {\"box_2d\": [82, 439, 147, 477], \"label\": \"car\"},\n {\"box_2d\": [58, 148, 170, 200], \"label\": \"truck\"},\n {\"box_2d\": [120, 21, 200, 60], \"label\": \"van\"},\n {\"box_2d\": [0, 403, 56, 440], \"label\": \"car\"},\n {\"box_2d\": [540, 738, 608, 809], \"label\": \"car\"},\n {\"box_2d\": [785, 735, 871, 795], \"label\": \"car\"},\n {\"box_2d\": [811, 761, 899, 818], \"label\": \"car\"},\n {\"box_2d\": [925, 452, 999, 528], \"label\": \"car\"},\n {\"box_2d\": [287, 58, 360, 93], \"label\": \"van\"},\n {\"box_2d\": [529, 130, 605, 169], \"label\": \"truck\"},\n {\"box_2d\": [368, 86, 425, 118], \"label\": \"car\"},\n {\"box_2d\": [909, 198, 980, 237], \"label\": \"tricycle\"},\n {\"box_2d\": [66, 9, 121, 41], \"label\": \"car\"},\n {\"box_2d\": [838, 173, 885, 205], \"label\": \"tricycle\"},\n {\"box_2d\": [864, 389, 902, 412], \"label\": \"motorcycle\"},\n {\"box_2d\": [888, 342, 913, 362], \"label\": \"motorcycle\"},\n {\"box_2d\": [863, 391, 894, 409], \"label\": \"person\"},\n {\"box_2d\": [905, 197, 932, 215], \"label\": \"person\"},\n {\"box_2d\": [306, 553, 333, 567], \"label\": \"person\"},\n {\"box_2d\": [928, 954, 962, 978], \"label\": \"motorcycle\"},\n {\"box_2d\": [468, 17, 488, 36], \"label\": \"person\"},\n {\"box_2d\": [838, 187, 872, 204], \"label\": \"person\"},\n {\"box_2d\": [707, 566, 731, 584], \"label\": \"bike\"}\n]\n```", "correct": false, "input_tokens": 1214, "output_tokens": 1018, "elapsed_seconds": 13.702986750053242, "metadata": {"match_method": "map", "num_predictions": 30, "num_ground_truth": 46, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.4448543190956116, "attempts": 1, "retries": 0, "total_seconds": 13.8091}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 239, "image": "egg-detection_image381_jpg.rf.26b6182b9e6a29f3cd96c54029e234f8.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [708, 479, 770, 517], \"label\": \"egg\"},\n {\"box_2d\": [712, 417, 767, 456], \"label\": \"egg\"},\n {\"box_2d\": [678, 383, 738, 419], \"label\": \"egg\"},\n {\"box_2d\": [590, 302, 645, 338], \"label\": \"egg\"},\n {\"box_2d\": [532, 316, 597, 349], \"label\": \"egg\"},\n {\"box_2d\": [308, 427, 377, 458], \"label\": \"egg\"},\n {\"box_2d\": [244, 419, 309, 455], \"label\": \"egg\"},\n {\"box_2d\": [244, 465, 303, 505], \"label\": \"egg\"},\n {\"box_2d\": [290, 481, 353, 518], \"label\": \"egg\"},\n {\"box_2d\": [265, 559, 333, 592], \"label\": \"egg\"},\n {\"box_2d\": [165, 371, 220, 408], \"label\": \"egg\"},\n {\"box_2d\": [92, 385, 148, 421], \"label\": \"egg\"},\n {\"box_2d\": [64, 427, 125, 456], \"label\": \"egg\"},\n {\"box_2d\": [14, 433, 66, 465], \"label\": \"egg\"},\n {\"box_2d\": [31, 471, 91, 501], \"label\": \"egg\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 516, "elapsed_seconds": 10.518823750084266, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 10.666}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 240, "image": "A16150-1C_2025_NCPT-175_JPG_jpg.rf.2c6e330d745fc218d09f761944d1e142.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [13, 249, 98, 275], \"label\": \"potato\"},\n {\"box_2d\": [96, 248, 163, 273], \"label\": \"potato\"},\n {\"box_2d\": [7, 296, 56, 315], \"label\": \"potato\"},\n {\"box_2d\": [54, 294, 106, 317], \"label\": \"potato\"},\n {\"box_2d\": [104, 287, 162, 314], \"label\": \"potato\"},\n {\"box_2d\": [161, 285, 240, 315], \"label\": \"potato\"},\n {\"box_2d\": [238, 285, 315, 316], \"label\": \"potato\"},\n {\"box_2d\": [410, 280, 515, 317], \"label\": \"potato\"},\n {\"box_2d\": [577, 284, 646, 310], \"label\": \"potato\"},\n {\"box_2d\": [647, 275, 740, 315], \"label\": \"potato\"},\n {\"box_2d\": [748, 284, 816, 308], \"label\": \"potato\"},\n {\"box_2d\": [920, 283, 988, 311], \"label\": \"potato\"},\n {\"box_2d\": [920, 325, 1000, 350], \"label\": \"potato\"},\n {\"box_2d\": [776, 326, 853, 353], \"label\": \"potato\"},\n {\"box_2d\": [699, 326, 777, 355], \"label\": \"potato\"},\n {\"box_2d\": [515, 324, 594, 355], \"label\": \"potato\"},\n {\"box_2d\": [439, 329, 517, 359], \"label\": \"potato\"},\n {\"box_2d\": [332, 323, 421, 359], \"label\": \"potato\"},\n {\"box_2d\": [239, 324, 333, 360], \"label\": \"potato\"},\n {\"box_2d\": [169, 329, 241, 359], \"label\": \"potato\"},\n {\"box_2d\": [91, 330, 170, 361], \"label\": \"potato\"},\n {\"box_2d\": [5, 331, 91, 365], \"label\": \"potato\"},\n {\"box_2d\": [19, 378, 92, 409], \"label\": \"potato\"},\n {\"box_2d\": [110, 373, 189, 404], \"label\": \"potato\"},\n {\"box_2d\": [189, 375, 265, 405], \"label\": \"potato\"},\n {\"box_2d\": [264, 375, 349, 409], \"label\": \"potato\"},\n {\"box_2d\": [334, 364, 386, 388], \"label\": \"potato\"},\n {\"box_2d\": [381, 368, 487, 405], \"label\": \"potato\"},\n {\"box_2d\": [482, 370, 575, 407], \"label\": \"potato\"},\n {\"box_2d\": [686, 368, 761, 398], \"label\": \"potato\"},\n {\"box_2d\": [759, 367, 847, 398], \"label\": \"potato\"},\n {\"box_2d\": [918, 364, 999, 399], \"label\": \"potato\"},\n {\"box_2d\": [686, 411, 777, 443], \"label\": \"potato\"},\n {\"box_2d\": [602, 411, 687, 445], \"label\": \"potato\"},\n {\"box_2d\": [525, 415, 603, 448], \"label\": \"potato\"},\n {\"box_2d\": [437, 416, 526, 448], \"label\": \"potato\"},\n {\"box_2d\": [348, 415, 437, 448], \"label\": \"potato\"},\n {\"box_2d\": [193, 416, 274, 451], \"label\": \"potato\"},\n {\"box_2d\": [86, 414, 195, 460], \"label\": \"potato\"},\n {\"box_2d\": [6, 414, 87, 453], \"label\": \"potato\"},\n {\"box_2d\": [6, 466, 80, 495], \"label\": \"potato\"},\n {\"box_2d\": [81, 466, 139, 494], \"label\": \"potato\"},\n {\"box_2d\": [138, 456, 255, 497], \"label\": \"potato\"},\n {\"box_2d\": [264, 463, 333, 490], \"label\": \"potato\"},\n {\"box_2d\": [336, 460, 411, 488], \"label\": \"potato\"},\n {\"box_2d\": [408, 461, 502, 496], \"label\": \"potato\"},\n {\"box_2d\": 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{\"box_2d\": [329, 810, 386, 835], \"label\": \"potato\"},\n {\"box_2d\": [315, 850, 391, 877], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 2727, "elapsed_seconds": 50.59846708399709, "metadata": {"match_method": "map", "num_predictions": 81, "num_ground_truth": 81, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 51.3255}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 241, "image": "lot251_JPEG_jpg.rf.5ae906b5fd537b40c5fabb806ecf5fd9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [178, 342, 200, 381], \"label\": \"chicory seed\"},\n {\"box_2d\": [199, 281, 224, 323], \"label\": \"chicory seed\"},\n {\"box_2d\": [223, 250, 252, 283], \"label\": \"chicory seed\"},\n {\"box_2d\": [230, 261, 259, 297], \"label\": \"chicory seed\"},\n {\"box_2d\": [202, 319, 224, 355], \"label\": 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694, 476, 727], \"label\": \"chicory seed\"},\n {\"box_2d\": [442, 650, 462, 691], \"label\": \"chicory seed\"},\n {\"box_2d\": [461, 656, 481, 697], \"label\": \"chicory seed\"},\n {\"box_2d\": [481, 666, 500, 709], \"label\": \"chicory seed\"},\n {\"box_2d\": [475, 705, 511, 736], \"label\": \"chicory seed\"},\n {\"box_2d\": [461, 726, 498, 753], \"label\": \"chicory seed\"},\n {\"box_2d\": [498, 664, 531, 697], \"label\": \"chicory seed\"},\n {\"box_2d\": [499, 684, 535, 716], \"label\": \"chicory seed\"},\n {\"box_2d\": [519, 698, 560, 727], \"label\": \"chicory seed\"},\n {\"box_2d\": [506, 725, 546, 749], \"label\": \"chicory seed\"},\n {\"box_2d\": [491, 756, 524, 793], \"label\": \"chicory seed\"},\n {\"box_2d\": [520, 761, 545, 800], \"label\": \"chicory seed\"},\n {\"box_2d\": [535, 737, 571, 765], \"label\": \"chicory seed\"},\n {\"box_2d\": [551, 716, 586, 748], \"label\": \"chicory seed\"},\n {\"box_2d\": [566, 708, 606, 738], \"label\": \"chicory seed\"},\n {\"box_2d\": [566, 689, 606, 710], \"label\": \"chicory seed\"},\n {\"box_2d\": [572, 669, 612, 695], \"label\": \"chicory seed\"},\n {\"box_2d\": [531, 658, 562, 695], \"label\": \"chicory seed\"},\n {\"box_2d\": [589, 655, 626, 685], \"label\": \"chicory seed\"},\n {\"box_2d\": [605, 699, 645, 720], \"label\": \"chicory seed\"},\n {\"box_2d\": [618, 722, 655, 757], \"label\": \"chicory seed\"},\n {\"box_2d\": [643, 712, 672, 752], \"label\": \"chicory seed\"},\n {\"box_2d\": [617, 672, 659, 699], \"label\": \"chicory seed\"},\n {\"box_2d\": [606, 636, 643, 669], \"label\": \"chicory seed\"},\n {\"box_2d\": [600, 597, 623, 641], \"label\": \"chicory seed\"},\n {\"box_2d\": [616, 602, 646, 644], \"label\": \"chicory seed\"},\n {\"box_2d\": [642, 641, 678, 677], \"label\": \"chicory seed\"},\n {\"box_2d\": [654, 672, 692, 704], \"label\": \"chicory seed\"},\n {\"box_2d\": [524, 327, 551, 362], \"label\": \"chicory seed\"},\n {\"box_2d\": [524, 295, 558, 331], \"label\": \"chicory seed\"},\n {\"box_2d\": [526, 361, 561, 391], \"label\": \"chicory seed\"},\n {\"box_2d\": [514, 389, 551, 417], \"label\": \"chicory seed\"},\n {\"box_2d\": [525, 396, 563, 425], \"label\": \"chicory seed\"},\n {\"box_2d\": [531, 412, 568, 444], \"label\": \"chicory seed\"},\n {\"box_2d\": [540, 431, 579, 458], \"label\": \"chicory seed\"},\n {\"box_2d\": [546, 454, 583, 480], \"label\": \"chicory seed\"},\n {\"box_2d\": [535, 471, 572, 504], \"label\": \"chicory seed\"},\n {\"box_2d\": [557, 492, 589, 533], \"label\": \"chicory seed\"},\n {\"box_2d\": [581, 495, 610, 536], \"label\": \"chicory seed\"},\n {\"box_2d\": [583, 450, 604, 492], \"label\": \"chicory seed\"},\n {\"box_2d\": [564, 401, 592, 441], \"label\": \"chicory seed\"},\n {\"box_2d\": [549, 324, 572, 368], \"label\": \"chicory seed\"},\n {\"box_2d\": [558, 296, 584, 338], \"label\": \"chicory seed\"},\n {\"box_2d\": [573, 278, 598, 320], \"label\": \"chicory seed\"},\n {\"box_2d\": [580, 241, 602, 282], \"label\": \"chicory seed\"},\n {\"box_2d\": [603, 231, 626, 272], \"label\": \"chicory seed\"},\n {\"box_2d\": [592, 270, 613, 311], \"label\": \"chicory seed\"},\n {\"box_2d\": [610, 276, 635, 318], \"label\": \"chicory seed\"},\n {\"box_2d\": [618, 241, 648, 280], \"label\": \"chicory seed\"},\n {\"box_2d\": [618, 196, 657, 227], \"label\": \"chicory seed\"},\n {\"box_2d\": [659, 203, 698, 233], \"label\": \"chicory seed\"},\n {\"box_2d\": [647, 232, 687, 255], \"label\": \"chicory seed\"},\n {\"box_2d\": [639, 255, 680, 280], \"label\": \"chicory seed\"},\n {\"box_2d\": [630, 269, 653, 310], \"label\": \"chicory seed\"},\n {\"box_2d\": [654, 281, 694, 302], \"label\": \"chicory seed\"},\n {\"box_2d\": [681, 244, 705, 285], \"label\": \"chicory seed\"},\n {\"box_2d\": [702, 245, 728, 284], \"label\": \"chicory seed\"},\n {\"box_2d\": [697, 282, 725, 320], \"label\": \"chicory seed\"},\n {\"box_2d\": [720, 284, 748, 327], \"label\": \"chicory seed\"},\n {\"box_2d\": [744, 284, 768, 328], \"label\": \"chicory seed\"},\n {\"box_2d\": [570, 341, 591, 381], \"label\": \"chicory seed\"},\n {\"box_2d\": [584, 325, 603, 369], \"label\": \"chicory seed\"},\n {\"box_2d\": [590, 366, 610, 408], \"label\": \"chicory seed\"},\n {\"box_2d\": [602, 336, 624, 378], \"label\": \"chicory seed\"},\n {\"box_2d\": [618, 312, 658, 342], \"label\": \"chicory seed\"},\n {\"box_2d\": [623, 347, 654, 385], \"label\": \"chicory seed\"},\n {\"box_2d\": [618, 375, 658, 406], \"label\": \"chicory seed\"},\n {\"box_2d\": [589, 407, 621, 446], \"label\": \"chicory seed\"},\n {\"box_2d\": [608, 411, 642, 448], \"label\": \"chicory seed\"},\n {\"box_2d\": [605, 448, 624, 490], \"label\": \"chicory seed\"},\n {\"box_2d\": [626, 424, 659, 462], \"label\": \"chicory seed\"},\n {\"box_2d\": [647, 427, 681, 464], \"label\": \"chicory seed\"},\n {\"box_2d\": [657, 404, 695, 429], \"label\": \"chicory seed\"},\n {\"box_2d\": [655, 371, 681, 410], \"label\": \"chicory seed\"},\n {\"box_2d\": [646, 328, 669, 370], \"label\": \"chicory seed\"},\n {\"box_2d\": [657, 301, 686, 341], \"label\": \"chicory seed\"},\n {\"box_2d\": [680, 303, 703, 344], \"label\": \"chicory seed\"},\n {\"box_2d\": [672, 342, 709, 372], \"label\": \"chicory seed\"},\n {\"box_2d\": [703, 322, 735, 359], \"label\": \"chicory seed\"},\n {\"box_2d\": [723, 319, 751, 357], \"label\": \"chicory seed\"},\n {\"box_2d\": [696, 358, 718, 404], \"label\": \"chicory seed\"},\n {\"box_2d\": [714, 356, 738, 399], \"label\": \"chicory seed\"},\n {\"box_2d\": [739, 365, 761, 408], \"label\": \"chicory seed\"},\n {\"box_2d\": [756, 347, 776, 389], \"label\": \"chicory seed\"},\n {\"box_2d\": [759, 401, 798, 426], \"label\": \"chicory seed\"},\n {\"box_2d\": [705, 401, 744, 426], \"label\": \"chicory seed\"},\n {\"box_2d\": [712, 419, 750, 446], \"label\": \"chicory seed\"},\n {\"box_2d\": [742, 420, 777, 456], \"label\": \"chicory seed\"},\n {\"box_2d\": [682, 420, 703, 460], \"label\": \"chicory seed\"},\n {\"box_2d\": [663, 445, 683, 488], \"label\": \"chicory seed\"},\n {\"box_2d\": [629, 466, 669, 493], \"label\": \"chicory seed\"},\n {\"box_2d\": [614, 486, 650, 509], \"label\": \"chicory seed\"},\n {\"box_2d\": [624, 503, 664, 525], \"label\": \"chicory seed\"},\n {\"box_2d\": [606, 511, 626, 553], \"label\": \"chicory seed\"},\n {\"box_2d\": [598, 554, 636, 581], \"label\": \"chicory seed\"},\n {\"box_2d\": [630, 531, 668, 554], \"label\": \"chicory seed\"},\n {\"box_2d\": [626, 559, 663, 586], \"label\": \"chicory seed\"},\n {\"box_2d\": [640, 585, 672, 623], \"label\": \"chicory seed\"},\n {\"box_2d\": [666, 520, 701, 558], \"label\": \"chicory seed\"},\n {\"box_2d\": [673, 483, 703, 523], \"label\": \"chicory seed\"},\n {\"box_2d\": [692, 450, 730, 479], \"label\": \"chicory seed\"},\n {\"box_2d\": [693, 486, 718, 527], \"label\": \"chicory seed\"},\n {\"box_2d\": [718, 461, 747, 503], \"label\": \"chicory seed\"},\n {\"box_2d\": [735, 463, 769, 501], \"label\": \"chicory seed\"},\n {\"box_2d\": [711, 498, 745, 535], \"label\": \"chicory seed\"},\n {\"box_2d\": [743, 502, 770, 543], \"label\": \"chicory seed\"},\n {\"box_2d\": [755, 484, 785, 526], \"label\": \"chicory seed\"},\n {\"box_2d\": [773, 474, 807, 511], \"label\": \"chicory seed\"},\n {\"box_2d\": [761, 526, 798, 558], \"label\": \"chicory seed\"},\n {\"box_2d\": [697, 552, 734, 577], \"label\": \"chicory seed\"},\n {\"box_2d\": [730, 541, 754, 584], \"label\": \"chicory seed\"},\n {\"box_2d\": [680, 602, 706, 645], \"label\": \"chicory seed\"},\n {\"box_2d\": [696, 645, 734, 667], \"label\": \"chicory seed\"},\n {\"box_2d\": [716, 579, 741, 621], \"label\": \"chicory seed\"},\n {\"box_2d\": [738, 578, 769, 616], \"label\": \"chicory seed\"},\n {\"box_2d\": [750, 591, 783, 629], \"label\": \"chicory seed\"},\n {\"box_2d\": [730, 622, 753, 665], \"label\": \"chicory seed\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 10812, "elapsed_seconds": 85.45883741695434, "metadata": {"match_method": "map", "num_predictions": 300, "num_ground_truth": 300, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3366336524486542, "attempts": 1, "retries": 0, "total_seconds": 85.5782}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 242, "image": "4105625_ContRightUpper_f_jpg.rf.262f5072bce0f2365a2193d631224fd1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [329, 0, 608, 255], \"label\": \"shipping container wall dent\"}\n]\n```", "correct": false, "input_tokens": 1255, "output_tokens": 47, "elapsed_seconds": 8.84487504104618, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 8.9936}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 243, "image": "18_jpeg_jpg.rf.b131f08c745acace9daeeea095e0d1ef.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [500, 1, 686, 60], \"label\": \"potato\"},\n {\"box_2d\": [84, 21, 189, 108], \"label\": \"potato\"},\n {\"box_2d\": [301, 179, 389, 260], \"label\": \"potato\"},\n {\"box_2d\": [494, 237, 619, 323], \"label\": \"potato\"},\n {\"box_2d\": [703, 143, 811, 248], \"label\": \"potato\"},\n {\"box_2d\": [906, 149, 1000, 253], \"label\": \"potato\"},\n {\"box_2d\": [729, 357, 818, 476], \"label\": \"potato\"},\n {\"box_2d\": [496, 449, 594, 535], \"label\": \"potato\"},\n {\"box_2d\": [92, 445, 178, 540], \"label\": \"potato\"},\n {\"box_2d\": [500, 613, 604, 699], \"label\": \"potato\"},\n {\"box_2d\": [719, 543, 818, 628], \"label\": \"potato\"},\n {\"box_2d\": [713, 665, 818, 748], \"label\": \"potato\"},\n {\"box_2d\": [906, 596, 1000, 692], \"label\": \"potato\"},\n {\"box_2d\": [871, 916, 986, 1000], \"label\": \"potato\"},\n {\"box_2d\": [689, 936, 795, 1000], \"label\": \"potato\"},\n {\"box_2d\": [500, 876, 596, 956], \"label\": \"potato\"},\n {\"box_2d\": [283, 845, 404, 967], \"label\": \"potato\"},\n {\"box_2d\": [90, 888, 211, 987], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1240, "output_tokens": 621, "elapsed_seconds": 9.956818415899761, "metadata": {"match_method": "map", "num_predictions": 18, "num_ground_truth": 18, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 10.0028}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 244, "image": "lot312_JPEG_jpg.rf.6c72b39304c1a45a005f911f32e89494.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [191, 315, 217, 355], \"label\": \"chicory seed\"},\n {\"box_2d\": [151, 381, 180, 419], \"label\": \"chicory seed\"},\n {\"box_2d\": [204, 529, 232, 567], \"label\": \"chicory seed\"},\n {\"box_2d\": [273, 736, 297, 777], \"label\": \"chicory seed\"},\n {\"box_2d\": [392, 419, 419, 456], \"label\": \"chicory seed\"},\n {\"box_2d\": [319, 158, 344, 194], \"label\": \"chicory seed\"},\n {\"box_2d\": [450, 111, 473, 141], \"label\": \"chicory seed\"},\n {\"box_2d\": [567, 444, 594, 481], \"label\": \"chicory seed\"},\n {\"box_2d\": [615, 123, 639, 160], \"label\": \"chicory seed\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 336, "elapsed_seconds": 16.5410940409638, "metadata": {"match_method": "map", "num_predictions": 9, "num_ground_truth": 291, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 16.7685}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 245, "image": "DJI_0271_JPG_jpg.rf.58c0e5179915be4446df421b02825d3d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [553, 791, 718, 912], \"label\": \"excavator\"},\n {\"box_2d\": [323, 682, 355, 735], \"label\": \"excavator\"},\n {\"box_2d\": [0, 358, 1000, 622], \"label\": \"tower crane\"},\n {\"box_2d\": [185, 790, 232, 827], \"label\": \"dump truck\"}\n]\n```", "correct": true, "input_tokens": 1206, "output_tokens": 153, "elapsed_seconds": 100.60203812504187, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 6, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8349834084510803, "attempts": 1, "retries": 0, "total_seconds": 101.9082}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 246, "image": "IMG_3900_JPG.rf.5ee75659ac02193213ba7636038947a4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [500, 93, 581, 211], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [590, 136, 681, 261], \"label\": \"10 poker chip\"},\n {\"box_2d\": [513, 206, 595, 323], \"label\": \"100 poker chip\"},\n {\"box_2d\": [405, 154, 478, 265], \"label\": \"500 poker chip\"},\n {\"box_2d\": [415, 266, 488, 376], \"label\": \"10 poker chip\"},\n {\"box_2d\": [358, 320, 425, 425], \"label\": \"10 poker chip\"},\n {\"box_2d\": [468, 326, 546, 439], \"label\": \"500 poker chip\"},\n {\"box_2d\": [566, 286, 653, 408], \"label\": \"10 poker chip\"},\n {\"box_2d\": [699, 252, 803, 386], \"label\": \"20 poker chip\"},\n {\"box_2d\": [631, 356, 728, 483], \"label\": \"10 poker chip\"},\n {\"box_2d\": [718, 399, 825, 533], \"label\": \"10 poker chip\"},\n {\"box_2d\": [742, 529, 852, 667], \"label\": \"100 poker chip\"},\n {\"box_2d\": [593, 470, 684, 594], \"label\": \"50 poker chip\"},\n {\"box_2d\": [525, 393, 608, 510], \"label\": \"10 poker chip\"},\n {\"box_2d\": [428, 424, 502, 533], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [368, 486, 437, 592], \"label\": \"5 poker chip\"},\n {\"box_2d\": [325, 566, 390, 669], \"label\": \"50 poker chip\"},\n {\"box_2d\": [393, 638, 463, 747], \"label\": \"10000 poker chip\"},\n {\"box_2d\": [458, 683, 536, 798], \"label\": \"50 poker chip\"},\n {\"box_2d\": [503, 599, 585, 715], \"label\": \"100 poker chip\"},\n {\"box_2d\": [482, 489, 562, 603], \"label\": \"100 poker chip\"},\n {\"box_2d\": [581, 616, 671, 740], \"label\": \"5 poker chip\"},\n {\"box_2d\": [689, 639, 792, 773], \"label\": \"100 poker chip\"},\n {\"box_2d\": [623, 738, 718, 868], \"label\": \"100 poker chip\"},\n {\"box_2d\": [540, 740, 625, 863], \"label\": \"100 poker chip\"}\n]\n```", "correct": true, "input_tokens": 1252, "output_tokens": 950, "elapsed_seconds": 54.75829895900097, "metadata": {"match_method": "map", "num_predictions": 25, "num_ground_truth": 25, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 55.7943}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 247, "image": "9AAEA6F5-FD0E-47BE-8596-0D85E5F62F1A_jpg.rf.7b7e8cbfdfc78f2c2cad6219290c51d6.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [757, 631, 800, 721], \"label\": \"pill\"},\n {\"box_2d\": [718, 642, 764, 730], \"label\": \"pill\"},\n {\"box_2d\": [685, 639, 725, 728], \"label\": \"pill\"},\n {\"box_2d\": [794, 289, 845, 381], \"label\": \"pill\"},\n {\"box_2d\": [694, 286, 752, 376], \"label\": \"pill\"},\n {\"box_2d\": [600, 363, 692, 396], \"label\": \"pill\"},\n {\"box_2d\": [556, 355, 589, 444], \"label\": \"pill\"},\n {\"box_2d\": [520, 388, 559, 476], \"label\": \"pill\"},\n {\"box_2d\": [465, 443, 538, 513], \"label\": \"pill\"},\n {\"box_2d\": [451, 358, 537, 405], \"label\": \"pill\"},\n {\"box_2d\": [443, 329, 530, 373], \"label\": \"pill\"},\n {\"box_2d\": [496, 252, 574, 323], \"label\": \"pill\"},\n {\"box_2d\": [446, 168, 536, 207], \"label\": \"pill\"},\n {\"box_2d\": [380, 187, 447, 265], \"label\": \"pill\"},\n {\"box_2d\": [263, 206, 344, 259], \"label\": \"pill\"},\n {\"box_2d\": [171, 213, 209, 299], \"label\": \"pill\"},\n {\"box_2d\": [138, 182, 189, 266], \"label\": \"pill\"},\n {\"box_2d\": [138, 269, 195, 349], \"label\": \"pill\"},\n {\"box_2d\": [165, 410, 246, 453], \"label\": \"pill\"},\n {\"box_2d\": [244, 373, 300, 453], \"label\": \"pill\"},\n {\"box_2d\": [165, 467, 236, 534], \"label\": \"pill\"},\n {\"box_2d\": [162, 543, 205, 624], \"label\": \"pill\"},\n {\"box_2d\": [155, 687, 223, 756], \"label\": \"pill\"},\n {\"box_2d\": [92, 729, 173, 764], \"label\": \"pill\"},\n {\"box_2d\": [297, 433, 381, 484], \"label\": \"pill\"},\n {\"box_2d\": [287, 473, 341, 553], \"label\": \"pill\"},\n {\"box_2d\": [320, 485, 377, 563], \"label\": \"pill\"},\n {\"box_2d\": [351, 521, 434, 566], \"label\": \"pill\"},\n {\"box_2d\": [316, 568, 401, 600], \"label\": \"pill\"},\n {\"box_2d\": [313, 600, 398, 631], \"label\": \"pill\"},\n {\"box_2d\": [337, 629, 422, 662], \"label\": \"pill\"},\n {\"box_2d\": [334, 662, 419, 695], \"label\": \"pill\"},\n {\"box_2d\": [296, 690, 381, 722], \"label\": \"pill\"},\n {\"box_2d\": [295, 721, 375, 777], \"label\": \"pill\"},\n {\"box_2d\": [361, 707, 445, 752], \"label\": \"pill\"},\n {\"box_2d\": [378, 738, 463, 779], \"label\": \"pill\"},\n {\"box_2d\": [468, 728, 548, 787], \"label\": \"pill\"},\n {\"box_2d\": [562, 749, 648, 804], \"label\": \"pill\"},\n {\"box_2d\": [588, 726, 672, 781], \"label\": \"pill\"},\n {\"box_2d\": [556, 685, 642, 730], \"label\": \"pill\"},\n {\"box_2d\": [519, 619, 597, 684], \"label\": \"pill\"},\n {\"box_2d\": [466, 575, 528, 653], \"label\": \"pill\"},\n {\"box_2d\": [442, 549, 511, 621], \"label\": \"pill\"},\n {\"box_2d\": [402, 529, 469, 602], \"label\": \"pill\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 1507, "elapsed_seconds": 52.10903133300599, "metadata": {"match_method": "map", "num_predictions": 44, "num_ground_truth": 44, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 52.7674}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 248, "image": "DJI_0237_JPG_jpg.rf.cb5e6b368dca69cc9b7bc36fb47fd6fb.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [585, 560, 750, 622], \"label\": \"excavator\"},\n {\"box_2d\": [381, 864, 434, 954], \"label\": \"concrete mixer\"},\n {\"box_2d\": [274, 224, 303, 272], \"label\": \"dump truck\"},\n {\"box_2d\": [300, 180, 333, 232], \"label\": \"dump truck\"},\n {\"box_2d\": [3, 833, 224, 976], \"label\": \"tower crane\"}\n]\n```", "correct": false, "input_tokens": 1209, "output_tokens": 186, "elapsed_seconds": 26.2280024579959, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 7, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7524752020835876, "attempts": 1, "retries": 0, "total_seconds": 27.451}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 249, "image": "42ba34_9_9_png_jpg.rf.30ad6b17178011a7360591145cf422a2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [757, 891, 825, 910], \"label\": \"referee\"},\n {\"box_2d\": [423, 479, 467, 489], \"label\": \"referee\"},\n {\"box_2d\": [617, 678, 675, 694], \"label\": \"player\"},\n {\"box_2d\": [546, 697, 599, 714], \"label\": \"player\"},\n {\"box_2d\": [443, 675, 488, 686], \"label\": \"player\"},\n {\"box_2d\": [399, 592, 443, 600], \"label\": \"player\"},\n {\"box_2d\": [387, 717, 440, 725], \"label\": \"player\"},\n {\"box_2d\": [323, 658, 357, 667], \"label\": \"player\"},\n {\"box_2d\": [315, 567, 345, 576], \"label\": \"player\"},\n {\"box_2d\": [472, 504, 520, 519], \"label\": \"player\"},\n {\"box_2d\": [383, 481, 417, 493], \"label\": \"player\"},\n {\"box_2d\": [401, 452, 439, 461], \"label\": \"player\"},\n {\"box_2d\": [406, 456, 450, 466], \"label\": \"player\"},\n {\"box_2d\": [512, 438, 561, 449], \"label\": \"player\"},\n {\"box_2d\": [588, 316, 637, 326], \"label\": \"player\"},\n {\"box_2d\": [615, 256, 664, 267], \"label\": \"player\"},\n {\"box_2d\": [477, 200, 525, 209], \"label\": \"player\"},\n {\"box_2d\": [468, 166, 512, 179], \"label\": \"player\"},\n {\"box_2d\": [377, 20, 417, 31], \"label\": \"goalkeeper\"},\n {\"box_2d\": [357, 319, 396, 328], \"label\": \"player\"},\n {\"box_2d\": [368, 307, 405, 319], \"label\": \"player\"},\n {\"box_2d\": [301, 410, 333, 416], \"label\": \"player\"},\n {\"box_2d\": [266, 311, 275, 316], \"label\": \"referee\"},\n {\"box_2d\": [383, 478, 390, 481], \"label\": \"football\"}\n]\n```", "correct": false, "input_tokens": 1242, "output_tokens": 830, "elapsed_seconds": 10.127751791966148, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5297029614448547, "attempts": 1, "retries": 0, "total_seconds": 10.2527}} diff --git a/results/detection_gemini-4-argon-eap_low_20261013_071120.jsonl b/results/detection_gemini-4-argon-eap_low_20261013_071120.jsonl deleted file mode 100644 index b332eff..0000000 --- a/results/detection_gemini-4-argon-eap_low_20261013_071120.jsonl +++ /dev/null @@ -1,250 +0,0 @@ -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 0, "image": "Screenshot-2024-05-16-144612_png.rf.ae5a345319058fdba768605388143544.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [774, 703, 801, 732], \"label\": \"bullet hole\"},\n {\"box_2d\": [832, 573, 862, 608], \"label\": \"bullet hole\"},\n {\"box_2d\": [821, 458, 848, 488], \"label\": \"bullet hole\"},\n {\"box_2d\": [869, 434, 892, 461], \"label\": \"bullet hole\"},\n {\"box_2d\": [955, 687, 987, 725], \"label\": \"bullet hole\"},\n {\"box_2d\": [955, 892, 984, 921], \"label\": \"bullet hole\"},\n {\"box_2d\": [841, 892, 868, 921], \"label\": \"bullet hole\"},\n {\"box_2d\": [577, 888, 604, 916], \"label\": \"bullet hole\"},\n {\"box_2d\": [529, 967, 554, 995], \"label\": \"bullet hole\"},\n {\"box_2d\": [522, 827, 545, 855], \"label\": \"bullet hole\"},\n {\"box_2d\": [456, 891, 483, 919], \"label\": \"bullet hole\"},\n {\"box_2d\": [417, 969, 444, 1000], \"label\": \"bullet hole\"},\n {\"box_2d\": [404, 761, 431, 789], \"label\": \"bullet hole\"},\n {\"box_2d\": [365, 549, 391, 577], \"label\": \"bullet hole\"},\n {\"box_2d\": [288, 549, 315, 576], \"label\": \"bullet hole\"},\n {\"box_2d\": [216, 549, 237, 578], \"label\": \"bullet hole\"},\n {\"box_2d\": [275, 835, 297, 858], \"label\": \"bullet hole\"},\n {\"box_2d\": [121, 833, 144, 858], \"label\": \"bullet hole\"},\n {\"box_2d\": [163, 259, 190, 290], \"label\": \"bullet hole\"},\n {\"box_2d\": [244, 272, 271, 300], \"label\": \"bullet hole\"},\n {\"box_2d\": [350, 286, 376, 314], \"label\": \"bullet hole\"},\n {\"box_2d\": [418, 294, 444, 323], \"label\": \"bullet hole\"},\n {\"box_2d\": [566, 464, 594, 493], \"label\": \"bullet hole\"},\n {\"box_2d\": [650, 391, 678, 424], \"label\": \"bullet hole\"},\n {\"box_2d\": [711, 314, 728, 333], \"label\": \"bullet hole\"},\n {\"box_2d\": [617, 72, 640, 99], \"label\": \"bullet hole\"},\n {\"box_2d\": [836, 41, 857, 70], \"label\": \"bullet hole\"},\n {\"box_2d\": [895, 159, 913, 184], \"label\": \"bullet hole\"},\n {\"box_2d\": [821, 233, 848, 260], \"label\": \"bullet hole\"}\n]\n```", "correct": false, "input_tokens": 1226, "output_tokens": 1024, "elapsed_seconds": 11.02100391604472, "metadata": {"match_method": "map", "num_predictions": 29, "num_ground_truth": 29, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.4594876766204834, "attempts": 1, "retries": 0, "total_seconds": 11.0477}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 1, "image": "img_462887999701516572_png.rf.318af6a4e9ad42c15e8fcc520375ad9b.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [723, 114, 818, 286], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [646, 134, 725, 303], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [692, 275, 780, 439], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [733, 415, 829, 578], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [704, 566, 797, 731], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [739, 722, 833, 901], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [661, 710, 743, 885], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [632, 568, 706, 724], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [657, 427, 736, 583], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [620, 294, 692, 447], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [576, 159, 646, 319], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [552, 312, 620, 459], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [588, 438, 658, 586], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [563, 571, 632, 719], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [592, 702, 661, 868], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [526, 697, 593, 855], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [499, 573, 565, 713], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [523, 444, 589, 586], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [490, 323, 554, 464], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [512, 181, 578, 329], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [453, 198, 517, 339], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [432, 333, 494, 464], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [463, 452, 525, 584], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [441, 572, 502, 704], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [467, 695, 529, 839], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [410, 687, 475, 825], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [387, 570, 448, 697], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [409, 455, 467, 581], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [381, 349, 442, 473], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [400, 217, 462, 348], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [351, 238, 412, 359], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [306, 256, 366, 368], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [289, 368, 344, 474], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [334, 357, 389, 473], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [311, 468, 365, 577], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [358, 464, 413, 581], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [339, 573, 394, 693], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [294, 574, 351, 685], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [314, 681, 372, 798], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [360, 687, 421, 811], \"label\": \"full portable gas cylinder\"}\n]\n```", "correct": true, "input_tokens": 1217, "output_tokens": 1492, "elapsed_seconds": 43.993793125031516, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 40, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 44.2982}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 2, "image": "basketball-player-detection_boston-celtics-new-york-knicks-game-1-q1-03-16-03-11-0135_png.rf.87404d3bb76bef98d9e926e5ec1e2966.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [746, 879, 999, 965], \"label\": \"player\"},\n {\"box_2d\": [654, 722, 955, 821], \"label\": \"player\"},\n {\"box_2d\": [727, 777, 761, 801], \"label\": \"jersey number\"},\n {\"box_2d\": [410, 799, 688, 851], \"label\": \"player\"},\n {\"box_2d\": [273, 672, 505, 736], \"label\": \"player\"},\n {\"box_2d\": [336, 703, 362, 712], \"label\": \"jersey number\"},\n {\"box_2d\": [833, 412, 1000, 470], \"label\": \"referee\"},\n {\"box_2d\": [898, 429, 926, 444], \"label\": \"jersey number\"},\n {\"box_2d\": [628, 348, 904, 417], \"label\": \"player\"},\n {\"box_2d\": [703, 377, 732, 391], \"label\": \"jersey number\"},\n {\"box_2d\": [459, 412, 697, 488], \"label\": \"player\"},\n {\"box_2d\": [371, 369, 603, 434], \"label\": \"player\"},\n {\"box_2d\": [291, 319, 623, 371], \"label\": \"player doing layup dunk\"},\n {\"box_2d\": [368, 283, 646, 393], \"label\": \"player\"},\n {\"box_2d\": [266, 307, 297, 336], \"label\": \"basket rim\"},\n {\"box_2d\": [265, 291, 300, 308], \"label\": \"basketball\"}\n]\n```", "correct": false, "input_tokens": 1256, "output_tokens": 567, "elapsed_seconds": 14.831442583003081, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 19, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5799151062965393, "attempts": 1, "retries": 0, "total_seconds": 14.9689}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 3, "image": "fall-detection_all_mp4-1653_jpg.rf.9fa9a5ca42070b76929d3ba6ab91e945.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [512, 428, 623, 588], \"label\": \"fallen person\"},\n {\"box_2d\": [468, 355, 535, 513], \"label\": \"fallen person\"},\n {\"box_2d\": [417, 212, 479, 340], \"label\": \"fallen person\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 117, "elapsed_seconds": 5.30509970895946, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 5.3281}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 4, "image": "Screenshot-2024-05-16-150857_png.rf.d53edfaec65ba17dbc56ff856e70ed0d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [779, 365, 811, 396], \"label\": \"bullet hole\"},\n {\"box_2d\": [796, 0, 829, 20], \"label\": \"bullet hole\"},\n {\"box_2d\": [468, 141, 502, 173], \"label\": \"bullet hole\"},\n {\"box_2d\": [689, 720, 722, 752], \"label\": \"bullet hole\"},\n {\"box_2d\": [614, 405, 646, 439], \"label\": \"bullet hole\"},\n {\"box_2d\": [407, 919, 438, 949], \"label\": \"bullet hole\"},\n {\"box_2d\": [336, 321, 368, 353], \"label\": \"bullet hole\"},\n {\"box_2d\": [920, 629, 950, 661], \"label\": \"bullet hole\"},\n {\"box_2d\": [952, 976, 986, 1000], \"label\": \"bullet hole\"},\n {\"box_2d\": [436, 309, 466, 339], \"label\": \"bullet hole\"},\n {\"box_2d\": [68, 628, 100, 659], \"label\": \"bullet hole\"},\n {\"box_2d\": [982, 182, 1000, 211], \"label\": \"bullet hole\"},\n {\"box_2d\": [27, 460, 53, 490], \"label\": \"bullet hole\"},\n {\"box_2d\": [623, 0, 653, 24], \"label\": \"bullet hole\"},\n {\"box_2d\": [0, 744, 20, 773], \"label\": \"bullet hole\"},\n {\"box_2d\": [290, 60, 326, 93], \"label\": \"bullet hole\"},\n {\"box_2d\": [546, 963, 577, 994], \"label\": \"bullet hole\"},\n {\"box_2d\": [607, 879, 639, 910], \"label\": \"bullet hole\"},\n {\"box_2d\": [206, 888, 238, 918], \"label\": \"bullet hole\"},\n {\"box_2d\": [110, 824, 142, 855], \"label\": \"bullet hole\"},\n {\"box_2d\": [810, 809, 838, 839], \"label\": \"bullet hole\"},\n {\"box_2d\": [520, 540, 550, 571], \"label\": \"bullet hole\"},\n {\"box_2d\": [57, 517, 87, 549], \"label\": \"bullet hole\"},\n {\"box_2d\": [681, 265, 714, 296], \"label\": \"bullet hole\"},\n {\"box_2d\": [890, 184, 922, 215], \"label\": \"bullet hole\"},\n {\"box_2d\": [434, 670, 464, 703], \"label\": \"bullet hole\"},\n {\"box_2d\": [797, 226, 831, 259], \"label\": \"bullet hole\"},\n {\"box_2d\": [986, 523, 1000, 553], \"label\": \"bullet hole\"},\n {\"box_2d\": [135, 208, 167, 239], \"label\": \"bullet hole\"},\n {\"box_2d\": [116, 318, 151, 350], \"label\": \"bullet hole\"},\n {\"box_2d\": [708, 565, 742, 598], \"label\": \"bullet hole\"},\n {\"box_2d\": [160, 617, 190, 649], \"label\": \"bullet hole\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 1119, "elapsed_seconds": 11.750613583019003, "metadata": {"match_method": "map", "num_predictions": 32, "num_ground_truth": 32, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 11.7792}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 5, "image": "oil-tank-detection_oiltank_9_jpg.rf.acb372553a5f5f447313e4035eef562f.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [117, 100, 232, 200], \"label\": \"oil tank\"},\n {\"box_2d\": [109, 232, 226, 333], \"label\": \"oil tank\"},\n {\"box_2d\": [106, 366, 221, 466], \"label\": \"oil tank\"},\n {\"box_2d\": [103, 500, 217, 598], \"label\": \"oil tank\"},\n {\"box_2d\": [96, 628, 215, 731], \"label\": \"oil tank\"},\n {\"box_2d\": [92, 761, 208, 864], \"label\": \"oil tank\"},\n {\"box_2d\": [271, 102, 386, 203], \"label\": \"oil tank\"},\n {\"box_2d\": [266, 237, 380, 337], \"label\": \"oil tank\"},\n {\"box_2d\": [258, 370, 376, 471], \"label\": \"oil tank\"},\n {\"box_2d\": [251, 506, 368, 606], \"label\": \"oil tank\"},\n {\"box_2d\": [248, 634, 368, 739], \"label\": \"oil tank\"},\n {\"box_2d\": [243, 769, 360, 874], \"label\": \"oil tank\"},\n {\"box_2d\": [484, 98, 603, 206], \"label\": \"oil tank\"},\n {\"box_2d\": [478, 236, 598, 342], \"label\": \"oil tank\"},\n {\"box_2d\": [474, 370, 594, 478], \"label\": \"oil tank\"},\n {\"box_2d\": [468, 506, 588, 613], \"label\": \"oil tank\"},\n {\"box_2d\": [461, 643, 580, 749], \"label\": \"oil tank\"},\n {\"box_2d\": [626, 370, 750, 481], \"label\": \"oil tank\"},\n {\"box_2d\": [622, 511, 744, 618], \"label\": \"oil tank\"},\n {\"box_2d\": [617, 649, 738, 757], \"label\": \"oil tank\"}\n]\n```", "correct": true, "input_tokens": 1217, "output_tokens": 709, "elapsed_seconds": 10.16190941608511, "metadata": {"match_method": "map", "num_predictions": 20, "num_ground_truth": 20, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 10.2415}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 6, "image": "signatures_image_38_png_jpg.rf.1d9c4bd922f8563e58275de808cd3984.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [363, 748, 408, 851], \"label\": \"signature\"},\n {\"box_2d\": [860, 761, 908, 898], \"label\": \"signature\"},\n {\"box_2d\": [438, 646, 467, 703], \"label\": \"signature\"},\n {\"box_2d\": [952, 636, 982, 694], \"label\": \"signature\"}\n]\n```", "correct": false, "input_tokens": 1211, "output_tokens": 148, "elapsed_seconds": 4.862861083005555, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5643564462661743, "attempts": 1, "retries": 0, "total_seconds": 4.8929}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 7, "image": "1704193901210_jpg.rf.2395376f26cee29d85e60b22c59c37b4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [575, 262, 636, 305], \"label\": \"corn kernel\"},\n {\"box_2d\": [406, 316, 475, 369], \"label\": \"corn kernel\"},\n {\"box_2d\": [539, 427, 588, 491], \"label\": \"corn kernel\"},\n {\"box_2d\": [266, 411, 327, 469], \"label\": \"corn kernel\"},\n {\"box_2d\": [309, 528, 355, 600], \"label\": \"corn kernel\"},\n {\"box_2d\": [416, 619, 477, 681], \"label\": \"corn kernel\"},\n {\"box_2d\": [617, 562, 677, 611], \"label\": \"corn kernel\"},\n {\"box_2d\": [531, 655, 583, 728], \"label\": \"corn kernel\"},\n {\"box_2d\": [609, 748, 659, 806], \"label\": \"corn kernel\"},\n {\"box_2d\": [514, 770, 577, 814], \"label\": \"corn kernel\"},\n {\"box_2d\": [455, 784, 502, 845], \"label\": \"corn kernel\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 397, "elapsed_seconds": 5.21172879205551, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 5.2342}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 8, "image": "IMG_0620_jpeg.rf.0c9c3b0a23079483a0b0e1651801d9a9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [377, 265, 491, 329], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [291, 383, 368, 474], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [281, 511, 379, 583], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [284, 582, 391, 643], \"label\": \"caramel corn jelly bean\"},\n {\"box_2d\": [397, 388, 501, 480], \"label\": \"peach jelly bean\"},\n {\"box_2d\": [381, 510, 487, 594], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [507, 331, 641, 413], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [488, 512, 613, 594], \"label\": \"peach jelly bean\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 315, "elapsed_seconds": 5.03063195804134, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 5.0793}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 9, "image": "paper-parts_163482_102_jpg.rf.d878bfe8193ad78ee6e9bd012ea9324e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [93, 118, 108, 573], \"label\": \"subsection\"},\n {\"box_2d\": [128, 118, 141, 707], \"label\": \"paragraph\"},\n {\"box_2d\": [196, 333, 344, 670], \"label\": \"figure\"},\n {\"box_2d\": [369, 341, 383, 658], \"label\": \"figure caption\"},\n {\"box_2d\": [432, 118, 446, 493], \"label\": \"subsection\"},\n {\"box_2d\": [467, 118, 511, 862], \"label\": \"paragraph\"},\n {\"box_2d\": [529, 333, 574, 666], \"label\": \"equation\"},\n {\"box_2d\": [581, 422, 608, 578], \"label\": \"equation\"},\n {\"box_2d\": [624, 118, 637, 613], \"label\": \"paragraph\"},\n {\"box_2d\": [654, 338, 699, 662], \"label\": \"equation\"},\n {\"box_2d\": [706, 431, 734, 569], \"label\": \"equation\"},\n {\"box_2d\": [749, 118, 762, 547], \"label\": \"paragraph\"},\n {\"box_2d\": [779, 329, 825, 671], \"label\": \"equation\"},\n {\"box_2d\": [831, 431, 859, 569], \"label\": \"equation\"},\n {\"box_2d\": [923, 491, 936, 509], \"label\": \"page number\"}\n]\n```", "correct": false, "input_tokens": 1250, "output_tokens": 523, "elapsed_seconds": 7.15776395809371, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 14, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6773926615715027, "attempts": 1, "retries": 0, "total_seconds": 7.1998}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 10, "image": "20210325_203432_jpg.rf.8eb2129f7a101d085f4cb925da755682.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [103, 275, 311, 480], \"label\": \"50 euro cent coin\"},\n {\"box_2d\": [134, 616, 294, 773], \"label\": \"2 euro cent coin\"},\n {\"box_2d\": [291, 464, 456, 628], \"label\": \"10 euro cent coin\"},\n {\"box_2d\": [333, 661, 520, 848], \"label\": \"20 euro cent coin\"},\n {\"box_2d\": [378, 164, 577, 361], \"label\": \"1 euro coin\"},\n {\"box_2d\": [536, 419, 675, 555], \"label\": \"1 euro cent coin\"},\n {\"box_2d\": [702, 205, 881, 383], \"label\": \"5 euro cent coin\"},\n {\"box_2d\": [650, 542, 869, 761], \"label\": \"2 euro coin\"}\n]\n```", "correct": true, "input_tokens": 1272, "output_tokens": 309, "elapsed_seconds": 4.999157083104365, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 5.0299}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 11, "image": "2024-12-05T02-01-20-119Z-4010_jpg.rf.4f789285ff5c3a1889420326440bc9d1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [829, 700, 910, 756], \"label\": \"screw\"},\n {\"box_2d\": [632, 489, 697, 537], \"label\": \"wire hole\"},\n {\"box_2d\": [374, 482, 439, 531], \"label\": \"wire hole\"},\n {\"box_2d\": [456, 451, 619, 571], \"label\": \"screw\"}\n]\n```", "correct": false, "input_tokens": 1203, "output_tokens": 150, "elapsed_seconds": 16.671016499982215, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.1683168113231659, "attempts": 1, "retries": 0, "total_seconds": 16.8825}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 12, "image": "Container-146_jpg.rf.1f5b3bfa7143f6b016b2b85ca3940e5c.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [160, 611, 203, 916], \"label\": \"shipping container number\"},\n {\"box_2d\": [213, 750, 250, 824], \"label\": \"container ISO type code\"}\n]\n```", "correct": true, "input_tokens": 1232, "output_tokens": 85, "elapsed_seconds": 3.2662578329909593, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 3.2827}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 13, "image": "GP010248_JPG_jpg.rf.c2ac2602f1905971af1173c3ba311542.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [467, 29, 712, 143], \"label\": \"carrot\"},\n {\"box_2d\": [401, 117, 675, 189], \"label\": \"carrot\"},\n {\"box_2d\": [367, 40, 521, 151], \"label\": \"carrot\"},\n {\"box_2d\": [478, 187, 682, 276], \"label\": \"carrot\"},\n {\"box_2d\": [445, 221, 682, 331], \"label\": \"carrot\"},\n {\"box_2d\": [494, 265, 667, 365], \"label\": \"carrot\"},\n {\"box_2d\": [512, 339, 681, 381], \"label\": \"carrot\"},\n {\"box_2d\": [428, 375, 610, 412], \"label\": \"carrot\"},\n {\"box_2d\": [387, 368, 670, 454], \"label\": \"carrot\"},\n {\"box_2d\": [632, 279, 718, 473], \"label\": \"carrot\"},\n {\"box_2d\": [648, 415, 694, 584], \"label\": \"carrot\"},\n {\"box_2d\": [556, 475, 660, 675], \"label\": \"carrot\"},\n {\"box_2d\": [606, 568, 650, 718], \"label\": \"carrot\"},\n {\"box_2d\": [538, 709, 645, 848], \"label\": \"carrot\"},\n {\"box_2d\": [351, 793, 579, 931], \"label\": \"carrot\"},\n {\"box_2d\": [244, 757, 473, 825], \"label\": \"carrot\"},\n {\"box_2d\": [219, 614, 331, 761], \"label\": \"carrot\"},\n {\"box_2d\": [421, 657, 548, 795], \"label\": \"carrot\"},\n {\"box_2d\": [439, 565, 587, 710], \"label\": \"carrot\"},\n {\"box_2d\": [529, 453, 614, 571], \"label\": \"carrot\"},\n {\"box_2d\": [495, 447, 581, 599], \"label\": \"carrot\"},\n {\"box_2d\": [378, 439, 442, 620], \"label\": \"carrot\"},\n {\"box_2d\": [351, 479, 414, 681], \"label\": \"carrot\"},\n {\"box_2d\": [334, 545, 367, 717], \"label\": \"carrot\"},\n {\"box_2d\": [304, 468, 337, 685], \"label\": \"carrot\"},\n {\"box_2d\": [231, 297, 284, 496], \"label\": \"carrot\"},\n {\"box_2d\": [269, 278, 307, 457], \"label\": \"carrot\"},\n {\"box_2d\": [289, 181, 353, 412], \"label\": \"carrot\"},\n {\"box_2d\": [345, 117, 385, 360], \"label\": \"carrot\"},\n {\"box_2d\": [376, 141, 437, 344], \"label\": \"carrot\"},\n {\"box_2d\": [345, 225, 487, 441], \"label\": \"carrot\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 1064, "elapsed_seconds": 12.529703458072618, "metadata": {"match_method": "map", "num_predictions": 31, "num_ground_truth": 31, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 12.5555}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 14, "image": "DJI_20230529095953_0646_T_JPG_jpg.rf.9806615efd3123cda770b6e1a3358930.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [572, 505, 591, 517], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [556, 686, 577, 697], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [548, 791, 566, 802], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [584, 370, 603, 383], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [173, 666, 197, 678], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [181, 622, 200, 633], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [222, 148, 241, 161], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [928, 816, 948, 828], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [925, 861, 944, 872], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [575, 459, 595, 472], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [558, 641, 578, 653], \"label\": \"solar panel hot spot\"}\n]\n```", "correct": false, "input_tokens": 1228, "output_tokens": 419, "elapsed_seconds": 5.728417958016507, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7326732873916626, "attempts": 1, "retries": 0, "total_seconds": 5.7517}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 15, "image": "floorplan-windows-doors_1036_png.rf.377e8848ebf77a1b3fd4e54e9aaa327d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [773, 365, 845, 452], \"label\": \"door\"},\n {\"box_2d\": [769, 151, 789, 290], \"label\": \"window\"},\n {\"box_2d\": [771, 576, 787, 619], \"label\": \"window\"},\n {\"box_2d\": [775, 731, 795, 843], \"label\": \"window\"},\n {\"box_2d\": [656, 558, 725, 616], \"label\": \"door\"},\n {\"box_2d\": [443, 208, 498, 290], \"label\": \"door\"},\n {\"box_2d\": [329, 588, 379, 646], \"label\": \"door\"},\n {\"box_2d\": [494, 672, 553, 755], \"label\": \"door\"},\n {\"box_2d\": [553, 681, 616, 761], \"label\": \"door\"},\n {\"box_2d\": [168, 575, 187, 619], \"label\": \"window\"},\n {\"box_2d\": [171, 777, 190, 839], \"label\": \"window\"},\n {\"box_2d\": [117, 842, 255, 924], \"label\": \"door\"},\n {\"box_2d\": [165, 300, 184, 363], \"label\": \"window\"},\n {\"box_2d\": [162, 102, 184, 241], \"label\": \"window\"},\n {\"box_2d\": [109, 364, 248, 449], \"label\": \"door\"}\n]\n```", "correct": false, "input_tokens": 1211, "output_tokens": 522, "elapsed_seconds": 8.6838786250446, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 19, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7611386179924011, "attempts": 1, "retries": 0, "total_seconds": 8.751}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 16, "image": "IMG_4942_JPG.rf.2d54601c43bd5fdd67c9d6de8428a9ef.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [298, 558, 315, 567], \"label\": \"face\"},\n {\"box_2d\": [296, 639, 315, 650], \"label\": \"face\"},\n {\"box_2d\": [299, 613, 317, 622], \"label\": \"face\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 114, "elapsed_seconds": 49.6178891249001, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 9, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.19141912460327148, "attempts": 1, "retries": 0, "total_seconds": 50.1042}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 17, "image": "4103433_ContLeftUpper_f_jpg.rf.c38c0a22d926bfd30646b27374a1f854.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [585, 99, 616, 130], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [595, 177, 622, 204], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [468, 25, 513, 47], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [416, 493, 470, 520], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [445, 694, 464, 718], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [393, 417, 421, 444], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [323, 257, 360, 286], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [389, 257, 414, 285], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [265, 336, 420, 363], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [266, 98, 414, 129], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [274, 178, 414, 204], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [392, 26, 420, 48], \"label\": \"shipping container wall dent\"}\n]\n```", "correct": false, "input_tokens": 1224, "output_tokens": 450, "elapsed_seconds": 8.041588541935198, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.1440144032239914, "attempts": 1, "retries": 0, "total_seconds": 8.1748}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 18, "image": "a9f16c_8_1_png_jpg.rf.21f65c07fc1fd4b937623a9b2c4bf919.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [273, 327, 304, 338], \"label\": \"player\"},\n {\"box_2d\": [308, 450, 344, 461], \"label\": \"player\"},\n {\"box_2d\": [304, 468, 338, 476], \"label\": \"player\"},\n {\"box_2d\": [373, 535, 412, 546], \"label\": \"player\"},\n {\"box_2d\": [423, 524, 468, 533], \"label\": \"player\"},\n {\"box_2d\": [501, 514, 550, 526], \"label\": \"player\"},\n {\"box_2d\": [592, 563, 650, 585], \"label\": \"player\"},\n {\"box_2d\": [644, 560, 654, 566], \"label\": \"football\"},\n {\"box_2d\": [339, 730, 376, 738], \"label\": \"player\"},\n {\"box_2d\": [341, 978, 383, 992], \"label\": \"goalkeeper\"},\n {\"box_2d\": [346, 272, 383, 284], \"label\": \"player\"},\n {\"box_2d\": [342, 298, 379, 310], \"label\": \"player\"},\n {\"box_2d\": [416, 232, 457, 246], \"label\": \"player\"},\n {\"box_2d\": [422, 287, 459, 303], \"label\": \"player\"},\n {\"box_2d\": [474, 206, 522, 226], \"label\": \"player\"},\n {\"box_2d\": [537, 206, 587, 227], \"label\": \"player\"},\n {\"box_2d\": [552, 189, 599, 214], \"label\": \"player\"},\n {\"box_2d\": [646, 279, 706, 298], \"label\": \"player\"},\n {\"box_2d\": [821, 281, 888, 300], \"label\": \"player\"},\n {\"box_2d\": [393, 21, 439, 41], \"label\": \"goalkeeper\"},\n {\"box_2d\": [408, 403, 448, 417], \"label\": \"referee\"},\n {\"box_2d\": [441, 404, 490, 420], \"label\": \"player\"},\n {\"box_2d\": [854, 956, 933, 978], \"label\": \"referee\"}\n]\n```", "correct": true, "input_tokens": 1242, "output_tokens": 796, "elapsed_seconds": 21.092793417046778, "metadata": {"match_method": "map", "num_predictions": 23, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8910890817642212, "attempts": 1, "retries": 0, "total_seconds": 21.2117}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 19, "image": "20230220_113558_jpg.rf.d5df52cc566f78f19b292c4a237d076c.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [759, 434, 956, 467], \"label\": \"crack\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 46, "elapsed_seconds": 10.59880245802924, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 10.6186}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 20, "image": "frame_0277_jpg.rf.c6aa8dac950a9954eaaa15c2c1350db2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [855, 217, 938, 263], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [868, 493, 916, 537], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [606, 437, 675, 481], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [540, 554, 623, 591], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [444, 227, 524, 267], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [336, 90, 405, 132], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [196, 128, 255, 174], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [284, 237, 355, 280], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [136, 246, 193, 287], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [63, 270, 111, 294], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [12, 130, 67, 171], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 242, 34, 268], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 271, 38, 300], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [3, 305, 43, 336], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [31, 360, 84, 391], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [1, 412, 46, 439], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 449, 48, 480], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [54, 430, 124, 463], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [167, 433, 226, 466], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [256, 369, 322, 405], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [333, 456, 408, 496], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [405, 465, 466, 506], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [311, 546, 365, 577], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [209, 530, 271, 571], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [35, 526, 97, 558], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [96, 626, 148, 658], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [211, 640, 275, 671], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [326, 656, 389, 690], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [451, 585, 509, 621], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [458, 675, 514, 710], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [629, 688, 663, 733], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [1, 494, 48, 526], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [1, 566, 52, 591], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [7, 542, 46, 567], \"label\": \"garlic on conveyor\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 1202, "elapsed_seconds": 53.01899320795201, "metadata": {"match_method": "map", "num_predictions": 34, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9073778390884399, "attempts": 1, "retries": 0, "total_seconds": 53.1542}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 21, "image": "construction-safety_ppe_0034_jpg.rf.38e91c4daafe26a0be27d2c1133af960.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [391, 631, 912, 728], \"label\": \"person\"},\n {\"box_2d\": [373, 192, 919, 300], \"label\": \"person\"},\n {\"box_2d\": [370, 569, 411, 610], \"label\": \"safety helmet\"},\n {\"box_2d\": [410, 480, 909, 558], \"label\": \"person\"},\n {\"box_2d\": [373, 541, 908, 646], \"label\": \"person\"},\n {\"box_2d\": [309, 134, 353, 184], \"label\": \"safety helmet\"},\n {\"box_2d\": [391, 659, 430, 703], \"label\": \"safety helmet\"},\n {\"box_2d\": [338, 833, 384, 877], \"label\": \"safety helmet\"},\n {\"box_2d\": [461, 193, 669, 287], \"label\": \"safety vest\"},\n {\"box_2d\": [366, 735, 406, 779], \"label\": \"safety helmet\"},\n {\"box_2d\": [387, 290, 918, 384], \"label\": \"person\"},\n {\"box_2d\": [309, 77, 922, 200], \"label\": \"person\"},\n {\"box_2d\": [382, 417, 429, 458], \"label\": \"safety helmet\"},\n {\"box_2d\": [499, 484, 706, 557], \"label\": \"safety vest\"},\n {\"box_2d\": [373, 226, 419, 272], \"label\": \"safety helmet\"},\n {\"box_2d\": [401, 98, 608, 194], \"label\": \"safety vest\"},\n {\"box_2d\": [454, 722, 643, 811], \"label\": \"safety vest\"},\n {\"box_2d\": [366, 707, 912, 819], \"label\": \"person\"},\n {\"box_2d\": [420, 825, 624, 910], \"label\": \"safety vest\"},\n {\"box_2d\": [384, 391, 909, 484], \"label\": \"person\"},\n {\"box_2d\": [388, 321, 432, 366], \"label\": \"safety helmet\"},\n {\"box_2d\": [340, 804, 912, 921], \"label\": \"person\"},\n {\"box_2d\": [471, 645, 659, 728], \"label\": \"safety vest\"},\n {\"box_2d\": [479, 291, 675, 381], \"label\": \"safety vest\"},\n {\"box_2d\": [410, 501, 463, 545], \"label\": \"safety helmet\"}\n]\n```", "correct": true, "input_tokens": 1222, "output_tokens": 876, "elapsed_seconds": 14.41061925003305, "metadata": {"match_method": "map", "num_predictions": 25, "num_ground_truth": 27, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9240924119949341, "attempts": 1, "retries": 0, "total_seconds": 14.4542}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 22, "image": "2024-12-05T02-00-55-647Z-1001_jpg.rf.c0a64fec0c1e44672b8338dc3d88f40e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [592, 307, 735, 404], \"label\": \"wire hole\"},\n {\"box_2d\": [427, 535, 502, 591], \"label\": \"cable screw\"},\n {\"box_2d\": [266, 675, 340, 730], \"label\": \"screw\"},\n {\"box_2d\": [524, 677, 596, 731], \"label\": \"screw\"}\n]\n```", "correct": false, "input_tokens": 1206, "output_tokens": 150, "elapsed_seconds": 28.414781957981177, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6666666269302368, "attempts": 1, "retries": 0, "total_seconds": 28.7274}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 23, "image": "uav20221018_ixfZ_3857_391_png.rf.363cfc1a99bee6043b1535d35e5cf8f5.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [757, 793, 811, 832], \"label\": \"banana tree\"},\n {\"box_2d\": [715, 801, 761, 845], \"label\": \"banana tree\"},\n {\"box_2d\": [652, 796, 695, 840], \"label\": \"banana tree\"},\n {\"box_2d\": [749, 750, 790, 787], \"label\": \"banana tree\"},\n {\"box_2d\": [681, 738, 725, 791], \"label\": \"banana tree\"},\n {\"box_2d\": [612, 742, 657, 787], \"label\": \"banana tree\"},\n {\"box_2d\": [581, 790, 626, 840], \"label\": \"banana tree\"},\n {\"box_2d\": [545, 744, 583, 787], \"label\": \"banana tree\"},\n {\"box_2d\": [504, 801, 550, 825], \"label\": \"banana tree\"},\n {\"box_2d\": [474, 739, 521, 779], \"label\": \"banana tree\"},\n {\"box_2d\": [433, 795, 480, 837], \"label\": \"banana tree\"},\n {\"box_2d\": [405, 737, 452, 777], \"label\": \"banana tree\"},\n {\"box_2d\": [371, 792, 419, 827], \"label\": \"banana tree\"},\n {\"box_2d\": [341, 735, 381, 774], \"label\": \"banana tree\"},\n {\"box_2d\": [306, 798, 348, 834], \"label\": \"banana tree\"},\n {\"box_2d\": [266, 736, 306, 769], \"label\": \"banana tree\"},\n {\"box_2d\": [232, 798, 276, 830], \"label\": \"banana tree\"},\n {\"box_2d\": [202, 735, 238, 772], \"label\": \"banana tree\"},\n {\"box_2d\": [163, 790, 206, 830], \"label\": \"banana tree\"},\n {\"box_2d\": [132, 736, 174, 773], \"label\": \"banana tree\"},\n {\"box_2d\": [92, 795, 141, 826], \"label\": \"banana tree\"},\n {\"box_2d\": [61, 728, 102, 769], \"label\": \"banana tree\"},\n {\"box_2d\": [18, 792, 65, 830], \"label\": \"banana tree\"},\n {\"box_2d\": [0, 728, 31, 769], \"label\": \"banana tree\"},\n {\"box_2d\": [409, 549, 449, 588], \"label\": \"banana tree\"},\n {\"box_2d\": [437, 500, 480, 533], \"label\": \"banana tree\"},\n {\"box_2d\": [372, 495, 415, 547], \"label\": \"banana tree\"},\n {\"box_2d\": [336, 549, 378, 591], \"label\": \"banana tree\"},\n {\"box_2d\": [298, 502, 343, 536], \"label\": \"banana tree\"},\n {\"box_2d\": [273, 545, 315, 579], \"label\": \"banana tree\"},\n {\"box_2d\": [228, 494, 275, 534], \"label\": \"banana tree\"},\n {\"box_2d\": [194, 541, 244, 584], \"label\": \"banana tree\"},\n {\"box_2d\": [155, 500, 209, 534], \"label\": \"banana tree\"},\n {\"box_2d\": [126, 553, 165, 591], \"label\": \"banana tree\"},\n {\"box_2d\": [63, 553, 98, 584], \"label\": \"banana tree\"},\n {\"box_2d\": [23, 503, 57, 537], \"label\": \"banana tree\"},\n {\"box_2d\": [72, 249, 109, 282], \"label\": \"banana tree\"},\n {\"box_2d\": [34, 300, 74, 336], \"label\": \"banana tree\"},\n {\"box_2d\": [1, 245, 44, 290], \"label\": \"banana tree\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 1360, "elapsed_seconds": 48.465889125014655, "metadata": {"match_method": "map", "num_predictions": 39, "num_ground_truth": 43, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9009901285171509, "attempts": 1, "retries": 0, "total_seconds": 48.5683}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 24, "image": "fabric-defect_511_jpg.rf.c9746a1a958e01686335a4e0e7bec57c.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [417, 402, 571, 484], \"label\": \"fabric cut\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 47, "elapsed_seconds": 23.06214200006798, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 23.0752}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 25, "image": "z4517190691608_e13e5a7742dfd1e1497d7f34e43b9a19_jpg.rf.53f3adf34b3bcf75125b6512855911b0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [191, 646, 300, 809], \"label\": \"20 poker chip\"},\n {\"box_2d\": [298, 670, 417, 840], \"label\": \"50 poker chip\"},\n {\"box_2d\": [430, 818, 558, 1000], \"label\": \"5000 poker chip\"},\n {\"box_2d\": [495, 635, 626, 817], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [614, 717, 756, 907], \"label\": \"500 poker chip\"},\n {\"box_2d\": [757, 654, 913, 853], \"label\": \"50 poker chip\"},\n {\"box_2d\": [731, 454, 886, 645], \"label\": \"50 poker chip\"},\n {\"box_2d\": [584, 480, 725, 665], \"label\": \"20 poker chip\"},\n {\"box_2d\": [460, 456, 584, 633], \"label\": \"20 poker chip\"},\n {\"box_2d\": [349, 513, 467, 683], \"label\": \"20 poker chip\"},\n {\"box_2d\": [244, 479, 355, 641], \"label\": \"10 poker chip\"},\n {\"box_2d\": [128, 485, 232, 641], \"label\": \"5 poker chip\"},\n {\"box_2d\": [92, 326, 194, 477], \"label\": \"5 poker chip\"},\n {\"box_2d\": [195, 169, 302, 324], \"label\": \"5 poker chip\"},\n {\"box_2d\": [186, 350, 294, 506], \"label\": \"5 poker chip\"},\n {\"box_2d\": [278, 275, 391, 434], \"label\": \"500 poker chip\"},\n {\"box_2d\": [346, 110, 464, 275], \"label\": \"100 poker chip\"},\n {\"box_2d\": [431, 207, 556, 375], \"label\": \"100 poker chip\"},\n {\"box_2d\": [372, 352, 489, 518], \"label\": \"20 poker chip\"},\n {\"box_2d\": [525, 310, 658, 486], \"label\": \"10 poker chip\"},\n {\"box_2d\": [592, 150, 730, 328], \"label\": \"50 poker chip\"},\n {\"box_2d\": [662, 295, 811, 480], \"label\": \"20 poker chip\"}\n]\n```", "correct": true, "input_tokens": 1251, "output_tokens": 830, "elapsed_seconds": 109.53282554098405, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 109.8294}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 26, "image": "floorplan-windows-doors_10156_png.rf.46b4865a81b54b57dfa53b894c0a0632.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [209, 297, 323, 358], \"label\": \"door\"},\n {\"box_2d\": [254, 240, 273, 297], \"label\": \"window\"},\n {\"box_2d\": [257, 369, 274, 470], \"label\": \"window\"},\n {\"box_2d\": [254, 646, 273, 745], \"label\": \"window\"},\n {\"box_2d\": [255, 816, 274, 859], \"label\": \"window\"},\n {\"box_2d\": [390, 810, 432, 850], \"label\": \"door\"},\n {\"box_2d\": [450, 742, 507, 801], \"label\": \"door\"},\n {\"box_2d\": [531, 753, 574, 805], \"label\": \"door\"},\n {\"box_2d\": [624, 741, 681, 799], \"label\": \"door\"},\n {\"box_2d\": [820, 649, 839, 750], \"label\": \"window\"},\n {\"box_2d\": [820, 783, 839, 841], \"label\": \"window\"},\n {\"box_2d\": [821, 391, 838, 490], \"label\": \"window\"},\n {\"box_2d\": [821, 297, 882, 355], \"label\": \"door\"},\n {\"box_2d\": [741, 299, 794, 355], \"label\": \"door\"},\n {\"box_2d\": [696, 236, 742, 281], \"label\": \"door\"},\n {\"box_2d\": [914, 263, 967, 328], \"label\": \"door\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 556, "elapsed_seconds": 27.928027584101073, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 17, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9504950642585754, "attempts": 1, "retries": 0, "total_seconds": 27.9912}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 27, "image": "fabric-defect_323_jpg.rf.371f41f855eb62c4f2068f1bac0ca297.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [73, 591, 134, 639], \"label\": \"fabric cut\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 46, "elapsed_seconds": 9.723672542022541, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 9.7351}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 28, "image": "54_png.rf.e797ccd3ab1732fcc95dc8f12eac1e73.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [196, 78, 304, 138], \"label\": \"not gate symbol\"},\n {\"box_2d\": [196, 178, 302, 238], \"label\": \"not gate symbol\"},\n {\"box_2d\": [196, 278, 302, 338], \"label\": \"not gate symbol\"},\n {\"box_2d\": [196, 378, 304, 439], \"label\": \"not gate symbol\"},\n {\"box_2d\": [310, 513, 434, 613], \"label\": \"and gate symbol\"},\n {\"box_2d\": [452, 513, 574, 614], \"label\": \"and gate symbol\"},\n {\"box_2d\": [380, 659, 504, 759], \"label\": \"or gate symbol\"},\n {\"box_2d\": [592, 513, 716, 614], \"label\": \"and gate symbol\"},\n {\"box_2d\": [734, 513, 858, 613], \"label\": \"and gate symbol\"},\n {\"box_2d\": [664, 658, 788, 759], \"label\": \"or gate symbol\"},\n {\"box_2d\": [522, 804, 646, 905], \"label\": \"and gate symbol\"}\n]\n```", "correct": true, "input_tokens": 1212, "output_tokens": 407, "elapsed_seconds": 6.077399207977578, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 6.083}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 29, "image": "IMG_3802_JPG.rf.a7e888d2c6d99ef929355eb2fffb322e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [468, 379, 505, 396], \"label\": \"face\"},\n {\"box_2d\": [300, 336, 326, 350], \"label\": \"face\"},\n {\"box_2d\": [474, 434, 513, 452], \"label\": \"face\"},\n {\"box_2d\": [437, 523, 467, 538], \"label\": \"face\"},\n {\"box_2d\": [309, 360, 334, 372], \"label\": \"face\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 182, "elapsed_seconds": 14.442456500022672, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.4554455578327179, "attempts": 1, "retries": 0, "total_seconds": 14.949}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 30, "image": "DJI_20230529112019_0221_T_JPG_jpg.rf.8e72d3393da7d92494fccfb7bb75bfc8.jpg", "expected": "", "predicted": "```json\n[{\"box_2d\": [75, 161, 181, 211], \"label\": \"solar panel hot spot\"}, {\"box_2d\": [86, 200, 189, 250], \"label\": \"solar panel hot spot\"}, {\"box_2d\": [66, 117, 173, 170], \"label\": \"solar panel hot spot\"}, {\"box_2d\": [172, 661, 278, 712], \"label\": \"solar panel hot spot\"}, {\"box_2d\": [180, 703, 286, 755], \"label\": \"solar panel hot spot\"}, {\"box_2d\": [162, 622, 269, 672], \"label\": \"solar panel hot spot\"}, {\"box_2d\": [205, 830, 309, 878], \"label\": \"solar panel hot spot\"}, {\"box_2d\": [520, 619, 623, 669], \"label\": \"solar panel hot spot\"}, {\"box_2d\": [528, 659, 631, 709], \"label\": \"solar panel hot spot\"}, {\"box_2d\": [536, 702, 639, 750], \"label\": \"solar panel hot spot\"}, {\"box_2d\": [544, 742, 647, 791], \"label\": \"solar panel hot spot\"}, {\"box_2d\": [552, 783, 653, 831], \"label\": \"solar panel hot spot\"}, {\"box_2d\": [845, 456, 950, 508], \"label\": \"solar panel hot spot\"}, {\"box_2d\": [855, 497, 956, 548], \"label\": \"solar panel hot spot\"}, {\"box_2d\": [870, 581, 972, 631], \"label\": \"solar panel hot spot\"}, {\"box_2d\": [92, 797, 198, 848], \"label\": \"solar panel hot spot\"}, {\"box_2d\": [103, 839, 208, 889], \"label\": \"solar panel hot spot\"}]\n```", "correct": false, "input_tokens": 1228, "output_tokens": 600, "elapsed_seconds": 8.073404041002505, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 17, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 8.0981}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 31, "image": "Atlantic_2025_NCPT-189_JPG_jpg.rf.7a382ad19f3061fc65305d93b2678aef.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [128, 252, 217, 286], \"label\": \"potato\"},\n {\"box_2d\": [117, 297, 183, 323], \"label\": \"potato\"},\n {\"box_2d\": [12, 300, 77, 326], \"label\": \"potato\"},\n {\"box_2d\": [8, 340, 91, 369], \"label\": \"potato\"},\n {\"box_2d\": [19, 385, 108, 416], \"label\": \"potato\"},\n {\"box_2d\": [7, 427, 85, 459], \"label\": \"potato\"},\n {\"box_2d\": [7, 474, 83, 504], \"label\": \"potato\"},\n {\"box_2d\": [5, 517, 73, 546], \"label\": \"potato\"},\n {\"box_2d\": [6, 606, 80, 634], \"label\": \"potato\"},\n {\"box_2d\": [23, 730, 118, 769], \"label\": \"potato\"},\n {\"box_2d\": [96, 686, 176, 720], \"label\": \"potato\"},\n {\"box_2d\": [122, 734, 184, 761], \"label\": \"potato\"},\n {\"box_2d\": [117, 599, 219, 640], \"label\": \"potato\"},\n {\"box_2d\": [146, 641, 249, 682], \"label\": \"potato\"},\n {\"box_2d\": [210, 689, 316, 725], \"label\": \"potato\"},\n {\"box_2d\": [266, 646, 333, 673], \"label\": \"potato\"},\n {\"box_2d\": [301, 731, 383, 762], \"label\": \"potato\"},\n {\"box_2d\": [315, 681, 430, 726], \"label\": \"potato\"},\n {\"box_2d\": [443, 724, 535, 763], \"label\": \"potato\"},\n {\"box_2d\": [689, 681, 793, 717], \"label\": \"potato\"},\n {\"box_2d\": [479, 635, 599, 677], \"label\": \"potato\"},\n {\"box_2d\": [508, 596, 615, 636], \"label\": \"potato\"},\n {\"box_2d\": [376, 601, 474, 639], \"label\": \"potato\"},\n {\"box_2d\": [368, 550, 483, 604], \"label\": \"potato\"},\n {\"box_2d\": [288, 558, 366, 590], \"label\": \"potato\"},\n {\"box_2d\": [196, 553, 290, 592], \"label\": \"potato\"},\n {\"box_2d\": [72, 512, 146, 545], \"label\": \"potato\"},\n {\"box_2d\": [145, 514, 243, 546], \"label\": \"potato\"},\n {\"box_2d\": [82, 472, 155, 502], \"label\": \"potato\"},\n {\"box_2d\": [155, 467, 267, 508], \"label\": \"potato\"},\n {\"box_2d\": [103, 421, 199, 458], \"label\": \"potato\"},\n {\"box_2d\": [160, 384, 232, 415], \"label\": \"potato\"},\n {\"box_2d\": [134, 337, 217, 370], \"label\": \"potato\"},\n {\"box_2d\": [217, 341, 279, 366], \"label\": \"potato\"},\n {\"box_2d\": [231, 384, 289, 409], \"label\": \"potato\"},\n {\"box_2d\": [214, 409, 323, 459], \"label\": \"potato\"},\n {\"box_2d\": [266, 465, 365, 505], \"label\": \"potato\"},\n {\"box_2d\": [254, 512, 361, 552], \"label\": \"potato\"},\n {\"box_2d\": [357, 511, 446, 545], \"label\": \"potato\"},\n {\"box_2d\": [364, 465, 452, 502], \"label\": \"potato\"},\n {\"box_2d\": [317, 426, 383, 454], \"label\": \"potato\"},\n {\"box_2d\": [286, 375, 389, 413], \"label\": \"potato\"},\n {\"box_2d\": [343, 336, 437, 370], \"label\": \"potato\"},\n {\"box_2d\": [352, 285, 446, 329], \"label\": \"potato\"},\n {\"box_2d\": [446, 289, 532, 324], \"label\": \"potato\"},\n {\"box_2d\": [436, 338, 501, 364], \"label\": \"potato\"},\n {\"box_2d\": [397, 381, 481, 415], \"label\": \"potato\"},\n {\"box_2d\": [401, 414, 510, 457], \"label\": \"potato\"},\n {\"box_2d\": [457, 466, 545, 496], \"label\": \"potato\"},\n {\"box_2d\": [471, 501, 577, 544], \"label\": \"potato\"},\n {\"box_2d\": [481, 553, 568, 587], \"label\": \"potato\"},\n {\"box_2d\": [576, 508, 683, 551], \"label\": \"potato\"},\n {\"box_2d\": [665, 553, 770, 593], \"label\": \"potato\"},\n {\"box_2d\": [736, 591, 835, 626], \"label\": \"potato\"},\n {\"box_2d\": [867, 507, 950, 539], \"label\": \"potato\"},\n {\"box_2d\": [845, 462, 926, 493], \"label\": \"potato\"},\n {\"box_2d\": [918, 418, 999, 453], \"label\": \"potato\"},\n {\"box_2d\": [750, 420, 829, 448], \"label\": \"potato\"},\n {\"box_2d\": [694, 467, 753, 492], \"label\": \"potato\"},\n {\"box_2d\": [588, 464, 678, 498], \"label\": \"potato\"},\n {\"box_2d\": [581, 416, 687, 455], \"label\": \"potato\"},\n {\"box_2d\": [581, 373, 668, 412], \"label\": \"potato\"},\n {\"box_2d\": [477, 375, 569, 410], \"label\": \"potato\"},\n {\"box_2d\": [501, 329, 608, 371], \"label\": \"potato\"},\n {\"box_2d\": [548, 284, 648, 328], \"label\": \"potato\"},\n {\"box_2d\": [618, 334, 687, 363], \"label\": \"potato\"},\n {\"box_2d\": [656, 289, 723, 315], \"label\": \"potato\"},\n {\"box_2d\": [690, 336, 761, 362], \"label\": \"potato\"},\n {\"box_2d\": [758, 374, 842, 409], \"label\": \"potato\"},\n {\"box_2d\": [778, 331, 864, 368], \"label\": \"potato\"},\n {\"box_2d\": [723, 282, 832, 321], \"label\": \"potato\"},\n {\"box_2d\": [834, 288, 896, 315], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 2438, "elapsed_seconds": 125.90563074999955, "metadata": {"match_method": "map", "num_predictions": 72, "num_ground_truth": 72, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 126.6143}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 32, "image": "V000078_0_0_jpeg_jpg.rf.ea93b54e17810ab845506f60bf69b7dd.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [799, 95, 968, 954], \"label\": \"technical drawing table\"},\n {\"box_2d\": [163, 342, 212, 439], \"label\": \"surface roughness symbol\"},\n {\"box_2d\": [151, 864, 203, 932], \"label\": \"dimension annotation\"},\n {\"box_2d\": [123, 643, 185, 712], \"label\": \"dimension annotation\"},\n {\"box_2d\": [324, 703, 381, 783], \"label\": \"dimension annotation\"},\n {\"box_2d\": [266, 170, 323, 234], \"label\": \"dimension annotation\"},\n {\"box_2d\": [274, 237, 323, 435], \"label\": \"dimension annotation\"},\n {\"box_2d\": [288, 432, 323, 483], \"label\": \"dimension annotation\"},\n {\"box_2d\": [288, 489, 323, 564], \"label\": \"dimension annotation\"},\n {\"box_2d\": [266, 170, 371, 483], \"label\": \"dimension annotation\"},\n {\"box_2d\": [336, 489, 371, 550], \"label\": \"dimension annotation\"},\n {\"box_2d\": [468, 560, 555, 628], \"label\": \"dimension annotation\"},\n {\"box_2d\": [438, 488, 466, 600], \"label\": \"dimension annotation\"},\n {\"box_2d\": [442, 236, 485, 300], \"label\": \"dimension annotation\"},\n {\"box_2d\": [442, 136, 491, 240], \"label\": \"dimension annotation\"},\n {\"box_2d\": [493, 126, 530, 173], \"label\": \"dimension annotation\"},\n {\"box_2d\": [501, 184, 586, 216], \"label\": \"dimension annotation\"},\n {\"box_2d\": [477, 297, 577, 336], \"label\": \"dimension annotation\"}\n]\n```", "correct": false, "input_tokens": 1237, "output_tokens": 643, "elapsed_seconds": 7.557448750012554, "metadata": {"match_method": "map", "num_predictions": 18, "num_ground_truth": 18, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6782177686691284, "attempts": 1, "retries": 0, "total_seconds": 7.5734}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 33, "image": "1226_8_jpg.rf.ca0a21572938b5c31e601cfcbf119e1e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [20, 20, 117, 118], \"label\": \"black rook\"},\n {\"box_2d\": [0, 139, 95, 245], \"label\": \"black knight\"},\n {\"box_2d\": [36, 265, 134, 355], \"label\": \"black bishop\"},\n {\"box_2d\": [8, 403, 128, 489], \"label\": \"black king\"},\n {\"box_2d\": [8, 533, 127, 620], \"label\": \"black queen\"},\n {\"box_2d\": [20, 899, 114, 1000], \"label\": \"black rook\"},\n {\"box_2d\": [141, 45, 212, 120], \"label\": \"black pawn\"},\n {\"box_2d\": [163, 652, 234, 722], \"label\": \"black pawn\"},\n {\"box_2d\": [169, 764, 241, 838], \"label\": \"black pawn\"},\n {\"box_2d\": [179, 914, 250, 995], \"label\": \"black pawn\"},\n {\"box_2d\": [281, 288, 351, 358], \"label\": \"black pawn\"},\n {\"box_2d\": [285, 399, 374, 487], \"label\": \"black bishop\"},\n {\"box_2d\": [427, 538, 496, 608], \"label\": \"black pawn\"},\n {\"box_2d\": [410, 895, 490, 1000], \"label\": \"black knight\"},\n {\"box_2d\": [525, 294, 594, 365], \"label\": \"white pawn\"},\n {\"box_2d\": [553, 759, 623, 835], \"label\": \"white pawn\"},\n {\"box_2d\": [644, 400, 713, 471], \"label\": \"white pawn\"},\n {\"box_2d\": [631, 641, 712, 745], \"label\": \"white knight\"},\n {\"box_2d\": [757, 57, 830, 132], \"label\": \"white pawn\"},\n {\"box_2d\": [769, 171, 841, 243], \"label\": \"white pawn\"},\n {\"box_2d\": [788, 642, 862, 712], \"label\": \"white pawn\"},\n {\"box_2d\": [775, 891, 847, 972], \"label\": \"white pawn\"},\n {\"box_2d\": [869, 41, 968, 133], \"label\": \"white rook\"},\n {\"box_2d\": [867, 133, 956, 239], \"label\": \"white knight\"},\n {\"box_2d\": [873, 283, 972, 372], \"label\": \"white bishop\"},\n {\"box_2d\": [867, 409, 988, 497], \"label\": \"white king\"},\n {\"box_2d\": [867, 532, 988, 620], \"label\": \"white queen\"},\n {\"box_2d\": [871, 654, 971, 745], \"label\": \"white bishop\"},\n {\"box_2d\": [880, 886, 976, 988], \"label\": \"white rook\"}\n]\n```", "correct": true, "input_tokens": 1259, "output_tokens": 1015, "elapsed_seconds": 23.565193625050597, "metadata": {"match_method": "map", "num_predictions": 29, "num_ground_truth": 29, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 23.8435}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 34, "image": "1218_18_jpg.rf.8c844a918f3bbbea9bc4a4e8bb703b7d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [134, 6, 223, 105], \"label\": \"white rook\"},\n {\"box_2d\": [32, 520, 132, 608], \"label\": \"black bishop\"},\n {\"box_2d\": [254, 255, 342, 348], \"label\": \"black knight\"},\n {\"box_2d\": [261, 632, 350, 718], \"label\": \"white knight\"},\n {\"box_2d\": [264, 875, 358, 1000], \"label\": \"white queen\"},\n {\"box_2d\": [381, 4, 464, 118], \"label\": \"black queen\"},\n {\"box_2d\": [508, 0, 597, 118], \"label\": \"white king\"},\n {\"box_2d\": [513, 279, 602, 370], \"label\": \"white bishop\"},\n {\"box_2d\": [516, 522, 605, 610], \"label\": \"black king\"},\n {\"box_2d\": [535, 764, 606, 840], \"label\": \"white pawn\"},\n {\"box_2d\": [628, 391, 707, 478], \"label\": \"black knight\"},\n {\"box_2d\": [637, 522, 719, 603], \"label\": \"white rook\"},\n {\"box_2d\": [640, 882, 720, 995], \"label\": \"white knight\"},\n {\"box_2d\": [746, 140, 847, 245], \"label\": \"white queen\"},\n {\"box_2d\": [771, 642, 843, 714], \"label\": \"black pawn\"},\n {\"box_2d\": [767, 767, 853, 859], \"label\": \"black rook\"},\n {\"box_2d\": [888, 405, 966, 480], \"label\": \"white pawn\"},\n {\"box_2d\": [884, 761, 1000, 871], \"label\": \"black queen\"}\n]\n```", "correct": true, "input_tokens": 1259, "output_tokens": 637, "elapsed_seconds": 32.494146707933396, "metadata": {"match_method": "map", "num_predictions": 18, "num_ground_truth": 18, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 32.7695}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 35, "image": "42ba34_3_4_png_jpg.rf.963d6715a391a3a2fee3176cace44325.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [375, 0, 417, 11], \"label\": \"goalkeeper\"},\n {\"box_2d\": [676, 152, 740, 171], \"label\": \"player\"},\n {\"box_2d\": [581, 232, 636, 248], \"label\": \"player\"},\n {\"box_2d\": [517, 282, 571, 294], \"label\": \"player\"},\n {\"box_2d\": [491, 265, 546, 275], \"label\": \"player\"},\n {\"box_2d\": [350, 251, 391, 260], \"label\": \"player\"},\n {\"box_2d\": [353, 258, 393, 267], \"label\": \"player\"},\n {\"box_2d\": [301, 281, 336, 290], \"label\": \"player\"},\n {\"box_2d\": [293, 318, 329, 327], \"label\": \"player\"},\n {\"box_2d\": [283, 405, 317, 414], \"label\": \"player\"},\n {\"box_2d\": [403, 350, 448, 358], \"label\": \"referee\"},\n {\"box_2d\": [360, 434, 400, 443], \"label\": \"player\"},\n {\"box_2d\": [332, 462, 372, 474], \"label\": \"player\"},\n {\"box_2d\": [243, 491, 276, 498], \"label\": \"referee\"},\n {\"box_2d\": [352, 586, 393, 595], \"label\": \"player\"},\n {\"box_2d\": [489, 563, 535, 575], \"label\": \"player\"},\n {\"box_2d\": [540, 583, 596, 596], \"label\": \"player\"},\n {\"box_2d\": [530, 606, 581, 619], \"label\": \"player\"},\n {\"box_2d\": [468, 676, 519, 688], \"label\": \"player\"},\n {\"box_2d\": [454, 722, 501, 735], \"label\": \"player\"},\n {\"box_2d\": [423, 803, 470, 814], \"label\": \"player\"},\n {\"box_2d\": [292, 690, 332, 699], \"label\": \"player\"},\n {\"box_2d\": [349, 912, 389, 926], \"label\": \"goalkeeper\"},\n {\"box_2d\": [637, 956, 698, 978], \"label\": \"referee\"}\n]\n```", "correct": false, "input_tokens": 1242, "output_tokens": 830, "elapsed_seconds": 22.977932667010464, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6262376308441162, "attempts": 1, "retries": 0, "total_seconds": 23.1067}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 36, "image": "170567v_JPG_jpg.rf.b4ec6b9d23ca24e31da874cd6f035dfa.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [569, 608, 697, 667], \"label\": \"cracked insulator\"},\n {\"box_2d\": [556, 574, 650, 632], \"label\": \"cracked insulator\"},\n {\"box_2d\": [542, 538, 669, 595], \"label\": \"cracked insulator\"},\n {\"box_2d\": [529, 505, 651, 560], \"label\": \"cracked insulator\"},\n {\"box_2d\": [504, 439, 616, 493], \"label\": \"cracked insulator\"},\n {\"box_2d\": [491, 405, 614, 461], \"label\": \"cracked insulator\"}\n]\n```", "correct": true, "input_tokens": 1244, "output_tokens": 228, "elapsed_seconds": 95.6608240409987, "metadata": {"match_method": "map", "num_predictions": 6, "num_ground_truth": 6, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 96.2016}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 37, "image": "wood-log-detection_092_png_jpg.rf.b7bfbb1ba7a477ea02f5974fce28583e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [777, 261, 845, 314], \"label\": \"log cross-section\"},\n {\"box_2d\": [831, 297, 909, 359], \"label\": \"log cross-section\"},\n {\"box_2d\": [845, 266, 895, 298], \"label\": \"log cross-section\"},\n {\"box_2d\": [711, 311, 780, 366], \"label\": \"log cross-section\"},\n {\"box_2d\": [683, 266, 750, 314], \"label\": \"log cross-section\"},\n {\"box_2d\": [652, 270, 686, 300], \"label\": \"log cross-section\"},\n {\"box_2d\": [644, 306, 709, 347], \"label\": \"log cross-section\"},\n {\"box_2d\": [591, 273, 656, 323], \"label\": \"log cross-section\"},\n {\"box_2d\": [587, 323, 648, 366], \"label\": \"log cross-section\"},\n {\"box_2d\": [578, 367, 645, 422], \"label\": \"log cross-section\"},\n {\"box_2d\": [642, 361, 697, 405], \"label\": \"log cross-section\"},\n {\"box_2d\": [742, 391, 806, 436], \"label\": \"log cross-section\"},\n {\"box_2d\": [786, 356, 842, 400], \"label\": \"log cross-section\"},\n {\"box_2d\": [852, 362, 908, 403], \"label\": \"log cross-section\"},\n {\"box_2d\": [836, 400, 898, 441], \"label\": \"log cross-section\"},\n {\"box_2d\": [678, 461, 769, 530], \"label\": \"log cross-section\"},\n {\"box_2d\": [728, 578, 825, 648], \"label\": \"log cross-section\"},\n {\"box_2d\": [831, 469, 912, 528], \"label\": \"log cross-section\"},\n {\"box_2d\": [762, 475, 830, 527], \"label\": \"log cross-section\"},\n {\"box_2d\": [694, 419, 758, 462], \"label\": \"log cross-section\"},\n {\"box_2d\": [695, 533, 764, 588], \"label\": \"log cross-section\"},\n {\"box_2d\": [647, 514, 703, 558], \"label\": \"log cross-section\"},\n {\"box_2d\": [552, 448, 623, 505], \"label\": \"log cross-section\"},\n {\"box_2d\": [538, 334, 592, 381], \"label\": \"log cross-section\"},\n {\"box_2d\": [495, 267, 567, 323], \"label\": \"log cross-section\"},\n {\"box_2d\": [505, 372, 570, 420], \"label\": \"log cross-section\"},\n {\"box_2d\": [530, 419, 588, 459], \"label\": \"log cross-section\"},\n {\"box_2d\": [427, 273, 492, 323], \"label\": \"log cross-section\"},\n {\"box_2d\": [395, 309, 441, 353], \"label\": \"log cross-section\"},\n {\"box_2d\": [347, 264, 395, 305], \"label\": \"log cross-section\"},\n {\"box_2d\": [273, 314, 344, 377], \"label\": \"log cross-section\"},\n {\"box_2d\": [234, 259, 300, 311], \"label\": \"log cross-section\"},\n {\"box_2d\": [156, 258, 234, 317], \"label\": \"log cross-section\"},\n {\"box_2d\": [127, 214, 169, 252], \"label\": \"log cross-section\"},\n {\"box_2d\": [111, 280, 156, 320], \"label\": \"log cross-section\"},\n {\"box_2d\": [144, 350, 211, 402], \"label\": \"log cross-section\"},\n {\"box_2d\": [38, 336, 97, 386], \"label\": \"log cross-section\"},\n {\"box_2d\": [92, 386, 138, 420], \"label\": \"log cross-section\"},\n {\"box_2d\": [98, 320, 144, 355], \"label\": \"log cross-section\"},\n {\"box_2d\": [230, 362, 283, 408], \"label\": \"log cross-section\"},\n {\"box_2d\": [233, 450, 283, 491], \"label\": \"log cross-section\"},\n {\"box_2d\": [275, 431, 334, 475], \"label\": \"log cross-section\"},\n {\"box_2d\": [320, 459, 391, 512], \"label\": \"log cross-section\"},\n {\"box_2d\": [333, 386, 384, 425], \"label\": \"log cross-section\"},\n {\"box_2d\": [277, 397, 322, 431], \"label\": \"log cross-section\"},\n {\"box_2d\": [364, 352, 416, 389], \"label\": \"log cross-section\"},\n {\"box_2d\": [400, 380, 450, 420], \"label\": \"log cross-section\"},\n {\"box_2d\": [425, 408, 473, 445], \"label\": \"log cross-section\"},\n {\"box_2d\": [472, 405, 522, 444], \"label\": \"log cross-section\"},\n {\"box_2d\": [445, 367, 491, 408], \"label\": \"log cross-section\"},\n {\"box_2d\": [425, 447, 483, 492], \"label\": \"log cross-section\"},\n {\"box_2d\": [483, 448, 548, 502], \"label\": \"log cross-section\"},\n {\"box_2d\": [425, 494, 480, 539], \"label\": \"log cross-section\"},\n {\"box_2d\": [389, 522, 438, 559], \"label\": \"log cross-section\"},\n {\"box_2d\": [392, 556, 450, 603], \"label\": \"log cross-section\"},\n {\"box_2d\": [509, 536, 583, 588], \"label\": \"log cross-section\"},\n {\"box_2d\": [566, 506, 622, 552], \"label\": \"log cross-section\"},\n {\"box_2d\": [606, 533, 661, 575], \"label\": \"log cross-section\"},\n {\"box_2d\": [572, 567, 639, 622], \"label\": \"log cross-section\"},\n {\"box_2d\": [489, 577, 544, 622], \"label\": \"log cross-section\"},\n {\"box_2d\": [506, 627, 564, 675], \"label\": \"log cross-section\"},\n {\"box_2d\": [389, 638, 445, 684], \"label\": \"log cross-section\"},\n {\"box_2d\": [308, 680, 378, 733], \"label\": \"log cross-section\"},\n {\"box_2d\": [247, 639, 314, 694], \"label\": \"log cross-section\"},\n {\"box_2d\": [139, 678, 223, 744], \"label\": \"log cross-section\"},\n {\"box_2d\": [159, 628, 227, 680], \"label\": \"log cross-section\"},\n {\"box_2d\": [72, 531, 142, 586], \"label\": \"log cross-section\"},\n {\"box_2d\": [152, 531, 217, 584], \"label\": \"log cross-section\"},\n {\"box_2d\": [212, 556, 273, 605], \"label\": \"log cross-section\"},\n {\"box_2d\": [269, 569, 334, 625], \"label\": \"log cross-section\"},\n {\"box_2d\": [166, 808, 225, 850], \"label\": \"log cross-section\"},\n {\"box_2d\": [298, 792, 355, 838], \"label\": \"log cross-section\"},\n {\"box_2d\": [359, 764, 427, 822], \"label\": \"log cross-section\"},\n {\"box_2d\": [469, 745, 536, 800], \"label\": \"log cross-section\"},\n {\"box_2d\": [506, 706, 572, 766], \"label\": \"log cross-section\"},\n {\"box_2d\": [577, 777, 636, 833], \"label\": \"log cross-section\"},\n {\"box_2d\": [578, 731, 641, 783], \"label\": \"log cross-section\"},\n {\"box_2d\": [633, 744, 706, 806], \"label\": \"log cross-section\"},\n {\"box_2d\": [741, 730, 814, 789], \"label\": \"log cross-section\"},\n {\"box_2d\": [797, 662, 867, 712], \"label\": \"log cross-section\"},\n {\"box_2d\": [809, 628, 872, 672], \"label\": \"log cross-section\"},\n {\"box_2d\": [833, 598, 891, 642], \"label\": \"log cross-section\"},\n {\"box_2d\": [853, 555, 912, 603], \"label\": \"log cross-section\"},\n {\"box_2d\": [748, 647, 809, 689], \"label\": \"log cross-section\"},\n {\"box_2d\": [608, 616, 669, 666], \"label\": \"log cross-section\"},\n {\"box_2d\": [673, 583, 728, 628], \"label\": \"log cross-section\"},\n {\"box_2d\": [697, 362, 758, 408], \"label\": \"log cross-section\"},\n {\"box_2d\": [644, 444, 697, 483], \"label\": \"log cross-section\"},\n {\"box_2d\": [809, 519, 856, 556], \"label\": \"log cross-section\"},\n {\"box_2d\": [762, 523, 812, 561], \"label\": \"log cross-section\"},\n {\"box_2d\": [712, 672, 762, 711], \"label\": \"log cross-section\"},\n {\"box_2d\": [689, 727, 738, 769], \"label\": \"log cross-section\"},\n {\"box_2d\": [416, 691, 469, 736], \"label\": \"log cross-section\"},\n {\"box_2d\": [320, 731, 378, 775], \"label\": \"log cross-section\"},\n {\"box_2d\": [367, 716, 419, 755], \"label\": \"log cross-section\"},\n {\"box_2d\": [222, 602, 281, 645], \"label\": \"log cross-section\"},\n {\"box_2d\": [173, 583, 222, 622], \"label\": \"log cross-section\"},\n {\"box_2d\": [114, 584, 166, 622], \"label\": \"log cross-section\"},\n {\"box_2d\": [84, 628, 125, 659], \"label\": \"log cross-section\"},\n {\"box_2d\": [100, 466, 145, 498], \"label\": \"log cross-section\"},\n {\"box_2d\": [180, 469, 223, 500], \"label\": \"log cross-section\"},\n {\"box_2d\": [184, 495, 234, 533], \"label\": \"log cross-section\"},\n {\"box_2d\": [270, 488, 320, 528], \"label\": \"log cross-section\"},\n {\"box_2d\": [209, 519, 255, 552], \"label\": \"log cross-section\"},\n {\"box_2d\": [231, 489, 273, 522], \"label\": \"log cross-section\"},\n {\"box_2d\": [380, 430, 431, 473], \"label\": \"log cross-section\"},\n {\"box_2d\": [298, 262, 345, 302], \"label\": \"log cross-section\"},\n {\"box_2d\": [214, 314, 270, 358], \"label\": \"log cross-section\"},\n {\"box_2d\": [562, 698, 611, 738], \"label\": \"log cross-section\"},\n {\"box_2d\": [483, 667, 534, 708], \"label\": \"log cross-section\"},\n {\"box_2d\": [509, 503, 558, 538], \"label\": \"log cross-section\"},\n {\"box_2d\": [662, 620, 711, 661], \"label\": \"log cross-section\"},\n {\"box_2d\": [706, 625, 756, 666], \"label\": \"log cross-section\"},\n {\"box_2d\": [823, 759, 883, 819], \"label\": \"log cross-section\"},\n {\"box_2d\": [641, 697, 694, 741], \"label\": \"log cross-section\"},\n {\"box_2d\": [161, 780, 206, 811], \"label\": \"log cross-section\"},\n {\"box_2d\": [162, 742, 203, 775], \"label\": \"log cross-section\"},\n {\"box_2d\": [256, 770, 305, 817], \"label\": \"log cross-section\"},\n {\"box_2d\": [222, 825, 269, 862], \"label\": \"log cross-section\"},\n {\"box_2d\": [306, 616, 361, 656], \"label\": \"log cross-section\"},\n {\"box_2d\": [409, 603, 456, 641], \"label\": \"log cross-section\"},\n {\"box_2d\": [448, 575, 492, 609], \"label\": \"log cross-section\"}\n]\n```", "correct": false, "input_tokens": 1228, "output_tokens": 4520, "elapsed_seconds": 45.67253616696689, "metadata": {"match_method": "map", "num_predictions": 122, "num_ground_truth": 206, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.4667292535305023, "attempts": 1, "retries": 0, "total_seconds": 45.6997}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 38, "image": "DJI_20230529111632_0087_T_JPG_jpg.rf.a0bcf6f9fb3a8158bd511491a1f333d9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [631, 681, 645, 694], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [525, 756, 539, 770], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [264, 884, 278, 895], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [266, 845, 278, 855], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [536, 594, 548, 603], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [644, 477, 658, 486], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [258, 969, 270, 978], \"label\": \"solar panel hot spot\"}\n]\n```", "correct": false, "input_tokens": 1228, "output_tokens": 271, "elapsed_seconds": 8.784550625015981, "metadata": {"match_method": "map", "num_predictions": 7, "num_ground_truth": 9, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3366336524486542, "attempts": 1, "retries": 0, "total_seconds": 8.8072}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 39, "image": "IMG_20260128_081648_jpg.rf.195a895d6fe7552e4b9d0fc4e44e0f46.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [618, 76, 725, 152], \"label\": \"white standard price tag\"},\n {\"box_2d\": [624, 151, 724, 232], \"label\": \"white standard price tag\"},\n {\"box_2d\": [624, 233, 726, 290], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [625, 290, 726, 370], \"label\": \"white standard price tag\"},\n {\"box_2d\": [626, 369, 726, 419], \"label\": \"white standard price tag\"},\n {\"box_2d\": [626, 418, 728, 492], \"label\": \"white standard price tag\"},\n {\"box_2d\": [627, 492, 729, 571], \"label\": \"white standard price tag\"},\n {\"box_2d\": [627, 570, 729, 642], \"label\": \"white standard price tag\"},\n {\"box_2d\": [620, 637, 954, 735], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [618, 714, 954, 804], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [628, 855, 729, 932], \"label\": \"white standard price tag\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 418, "elapsed_seconds": 30.54877787490841, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 31.0156}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 40, "image": "m4_tire_2024-10-17_18_png_jpg.rf.b3da826931757f1612878ecf9680a260.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [92, 300, 179, 519], \"label\": \"tire size text\"},\n {\"box_2d\": [708, 215, 774, 267], \"label\": \"tire size text\"}\n]\n```", "correct": false, "input_tokens": 1226, "output_tokens": 83, "elapsed_seconds": 23.685711166937836, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3366336226463318, "attempts": 1, "retries": 0, "total_seconds": 24.0934}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 41, "image": "IMG_3864_JPG.rf.85dd012a4824e9d1050c085dd0a2e519.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [558, 39, 648, 168], \"label\": \"10000 poker chip\"},\n {\"box_2d\": [467, 98, 545, 217], \"label\": \"500 poker chip\"},\n {\"box_2d\": [351, 224, 419, 335], \"label\": \"100 poker chip\"},\n {\"box_2d\": [430, 286, 507, 403], \"label\": \"500 poker chip\"},\n {\"box_2d\": [522, 217, 608, 343], \"label\": \"500 poker chip\"},\n {\"box_2d\": [606, 130, 702, 263], \"label\": \"500 poker chip\"},\n {\"box_2d\": [661, 239, 766, 378], \"label\": \"500 poker chip\"},\n {\"box_2d\": [575, 300, 669, 430], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [518, 398, 604, 524], \"label\": \"500 poker chip\"},\n {\"box_2d\": [361, 398, 429, 506], \"label\": \"500 poker chip\"},\n {\"box_2d\": [429, 403, 505, 515], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [440, 513, 518, 631], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [405, 612, 479, 729], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [447, 709, 526, 832], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [426, 818, 504, 945], \"label\": \"100 poker chip\"},\n {\"box_2d\": [514, 780, 601, 912], \"label\": \"100 poker chip\"},\n {\"box_2d\": [516, 650, 602, 780], \"label\": \"500 poker chip\"},\n {\"box_2d\": [529, 524, 617, 654], \"label\": \"500 poker chip\"},\n {\"box_2d\": [600, 421, 697, 553], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [676, 497, 785, 638], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [674, 637, 784, 781], \"label\": \"500 poker chip\"},\n {\"box_2d\": [594, 708, 691, 847], \"label\": \"100 poker chip\"},\n {\"box_2d\": [685, 799, 796, 948], \"label\": \"1000 poker chip\"}\n]\n```", "correct": true, "input_tokens": 1229, "output_tokens": 894, "elapsed_seconds": 35.985309417010285, "metadata": {"match_method": "map", "num_predictions": 23, "num_ground_truth": 24, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9702969789505005, "attempts": 1, "retries": 0, "total_seconds": 37.2493}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 42, "image": "1217_2_jpg.rf.e0a2a15bcd44d66668e689fd59ca61fe.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [765, 165, 855, 253], \"label\": \"black bishop\"},\n {\"box_2d\": [393, 642, 474, 731], \"label\": \"white knight\"},\n {\"box_2d\": [520, 400, 594, 480], \"label\": \"white rook\"},\n {\"box_2d\": [888, 885, 1000, 999], \"label\": \"black queen\"},\n {\"box_2d\": [898, 2, 996, 113], \"label\": \"white knight\"},\n {\"box_2d\": [171, 20, 239, 97], \"label\": \"black pawn\"},\n {\"box_2d\": [433, 902, 502, 979], \"label\": \"white pawn\"},\n {\"box_2d\": [759, 17, 845, 115], \"label\": \"white rook\"},\n {\"box_2d\": [781, 398, 854, 469], \"label\": \"black pawn\"},\n {\"box_2d\": [182, 767, 255, 839], \"label\": \"white pawn\"},\n {\"box_2d\": [3, 910, 86, 988], \"label\": \"black pawn\"},\n {\"box_2d\": [27, 139, 128, 236], \"label\": \"white bishop\"},\n {\"box_2d\": [3, 403, 125, 490], \"label\": \"white queen\"},\n {\"box_2d\": [385, 508, 473, 596], \"label\": \"black bishop\"},\n {\"box_2d\": [149, 649, 224, 719], \"label\": \"white pawn\"},\n {\"box_2d\": [650, 880, 720, 954], \"label\": \"white pawn\"},\n {\"box_2d\": [546, 2, 625, 115], \"label\": \"black knight\"},\n {\"box_2d\": [513, 124, 600, 231], \"label\": \"black queen\"},\n {\"box_2d\": [560, 610, 629, 681], \"label\": \"white pawn\"},\n {\"box_2d\": [285, 155, 355, 228], \"label\": \"white pawn\"},\n {\"box_2d\": [748, 748, 853, 854], \"label\": \"black king\"},\n {\"box_2d\": [311, 871, 381, 949], \"label\": \"black pawn\"},\n {\"box_2d\": [881, 399, 974, 480], \"label\": \"black rook\"},\n {\"box_2d\": [4, 509, 127, 600], \"label\": \"white king\"},\n {\"box_2d\": [525, 276, 597, 346], \"label\": \"black pawn\"},\n {\"box_2d\": [404, 300, 474, 370], \"label\": \"white pawn\"},\n {\"box_2d\": [270, 626, 362, 715], \"label\": \"white bishop\"},\n {\"box_2d\": [288, 388, 358, 456], \"label\": \"black pawn\"},\n {\"box_2d\": [410, 28, 481, 108], \"label\": \"white pawn\"},\n {\"box_2d\": [899, 642, 995, 723], \"label\": \"black rook\"},\n {\"box_2d\": [649, 631, 738, 721], \"label\": \"white queen\"},\n {\"box_2d\": [423, 768, 502, 871], \"label\": \"black knight\"}\n]\n```", "correct": true, "input_tokens": 1259, "output_tokens": 1117, "elapsed_seconds": 29.433292499976233, "metadata": {"match_method": "map", "num_predictions": 32, "num_ground_truth": 32, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 29.7256}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 43, "image": "fabric-defect_904_jpg.rf.1cf391ad7827c3f000e3c8ea35472e5d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [402, 444, 511, 558], \"label\": \"fabric cut\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 47, "elapsed_seconds": 31.0201829590369, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 31.0476}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 44, "image": "20210325_204058_jpg.rf.29e7808c087a71e473dd9c19badaff2c.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [562, 691, 742, 875], \"label\": \"10 euro cent coin\"},\n {\"box_2d\": [702, 439, 914, 650], \"label\": \"1 euro coin\"},\n {\"box_2d\": [366, 645, 534, 817], \"label\": \"2 euro cent coin\"},\n {\"box_2d\": [148, 431, 366, 645], \"label\": \"50 euro cent coin\"},\n {\"box_2d\": [348, 267, 577, 498], \"label\": \"2 euro coin\"},\n {\"box_2d\": [256, 61, 444, 248], \"label\": \"5 euro cent coin\"},\n {\"box_2d\": [500, 509, 647, 658], \"label\": \"1 euro cent coin\"},\n {\"box_2d\": [605, 148, 808, 353], \"label\": \"20 euro cent coin\"}\n]\n```", "correct": true, "input_tokens": 1272, "output_tokens": 308, "elapsed_seconds": 38.993180291960016, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 39.0152}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 45, "image": "9999942_00000_d_0000135_jpg.rf.52553444f2adb8d7ba245527bc1de4b5.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [548, 535, 593, 603], \"label\": \"van\"},\n {\"box_2d\": [609, 520, 650, 591], \"label\": \"car\"},\n {\"box_2d\": [606, 672, 646, 722], \"label\": \"car\"},\n {\"box_2d\": [572, 372, 634, 449], \"label\": \"car\"},\n {\"box_2d\": [525, 11, 569, 77], \"label\": \"van\"},\n {\"box_2d\": [694, 102, 792, 158], \"label\": \"car\"},\n {\"box_2d\": [812, 138, 926, 185], \"label\": \"car\"},\n {\"box_2d\": [237, 376, 336, 417], \"label\": \"truck\"},\n {\"box_2d\": [319, 174, 381, 207], \"label\": \"car\"},\n {\"box_2d\": [387, 151, 434, 185], \"label\": \"car\"},\n {\"box_2d\": [191, 270, 260, 303], \"label\": \"car\"},\n {\"box_2d\": [134, 396, 200, 424], \"label\": \"car\"},\n {\"box_2d\": [92, 282, 170, 315], \"label\": \"van\"},\n {\"box_2d\": [20, 405, 78, 432], \"label\": \"car\"},\n {\"box_2d\": [1, 381, 41, 402], \"label\": \"van\"},\n {\"box_2d\": [27, 297, 94, 324], \"label\": \"car\"},\n {\"box_2d\": [0, 308, 25, 335], \"label\": \"car\"},\n {\"box_2d\": [46, 240, 101, 269], \"label\": \"car\"},\n {\"box_2d\": [0, 189, 34, 258], \"label\": \"van\"},\n {\"box_2d\": [94, 172, 130, 232], \"label\": \"car\"},\n {\"box_2d\": [126, 169, 165, 229], \"label\": \"car\"},\n {\"box_2d\": [160, 169, 193, 211], \"label\": \"car\"},\n {\"box_2d\": [237, 132, 291, 181], \"label\": \"car\"}\n]\n```", "correct": false, "input_tokens": 1215, "output_tokens": 776, "elapsed_seconds": 35.859551750007086, "metadata": {"match_method": "map", "num_predictions": 23, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.24767033755779266, "attempts": 1, "retries": 0, "total_seconds": 35.9655}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 46, "image": "tire_2024-09-25_27_png_jpg.rf.86e579b04ca3a3e9f7a480c31239539e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [77, 274, 161, 471], \"label\": \"tire size text\"},\n {\"box_2d\": [332, 807, 456, 860], \"label\": \"tire size text\"},\n {\"box_2d\": [896, 472, 950, 678], \"label\": \"tire size text\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 119, "elapsed_seconds": 21.0496697089402, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5544553995132446, "attempts": 1, "retries": 0, "total_seconds": 21.5624}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 47, "image": "Container-144_jpg.rf.4f556fc57071dc9d870c03989b923d26.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [248, 556, 275, 736], \"label\": \"shipping container number\"},\n {\"box_2d\": [283, 558, 304, 607], \"label\": \"container ISO type code\"}\n]\n```", "correct": true, "input_tokens": 1232, "output_tokens": 85, "elapsed_seconds": 8.30495149991475, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 8.3233}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 48, "image": "frame_0151_jpg.rf.6c7fef6c392aec746239d36e4257e862.jpg", "expected": "", "predicted": "```json\n[{\"box_2d\": [779, 580, 847, 620], \"label\": \"garlic on conveyor\"},\n{\"box_2d\": [468, 675, 535, 709], \"label\": \"garlic on conveyor\"},\n{\"box_2d\": [417, 567, 483, 606], \"label\": \"garlic on conveyor\"},\n{\"box_2d\": [349, 648, 405, 681], \"label\": \"garlic on conveyor\"},\n{\"box_2d\": [264, 540, 319, 573], \"label\": \"garlic on conveyor\"},\n{\"box_2d\": [165, 533, 224, 566], \"label\": \"garlic on conveyor\"},\n{\"box_2d\": [491, 466, 557, 502], \"label\": \"garlic on conveyor\"},\n{\"box_2d\": [275, 444, 344, 483], \"label\": \"garlic on conveyor\"},\n{\"box_2d\": [197, 441, 260, 476], \"label\": \"garlic on conveyor\"},\n{\"box_2d\": [116, 426, 174, 459], \"label\": \"garlic on conveyor\"},\n{\"box_2d\": [641, 369, 711, 412], \"label\": \"garlic on conveyor\"},\n{\"box_2d\": [579, 366, 647, 406], \"label\": \"garlic on conveyor\"},\n{\"box_2d\": [338, 333, 408, 372], \"label\": \"garlic on conveyor\"},\n{\"box_2d\": [216, 339, 281, 376], \"label\": \"garlic on conveyor\"},\n{\"box_2d\": [110, 333, 171, 370], \"label\": \"garlic on conveyor\"},\n{\"box_2d\": [895, 238, 962, 286], \"label\": \"garlic on conveyor\"},\n{\"box_2d\": [719, 236, 797, 282], \"label\": \"garlic on conveyor\"},\n{\"box_2d\": [500, 254, 571, 297], \"label\": \"garlic on conveyor\"},\n{\"box_2d\": [468, 207, 529, 244], \"label\": \"garlic on conveyor\"},\n{\"box_2d\": [292, 248, 355, 286], \"label\": \"garlic on conveyor\"},\n{\"box_2d\": [140, 237, 206, 279], \"label\": \"garlic on conveyor\"},\n{\"box_2d\": [788, 67, 871, 131], \"label\": \"garlic on conveyor\"},\n{\"box_2d\": [617, 86, 694, 132], \"label\": \"garlic on conveyor\"},\n{\"box_2d\": [425, 83, 501, 139], \"label\": \"garlic on conveyor\"},\n{\"box_2d\": [301, 114, 365, 162], \"label\": \"garlic on conveyor\"},\n{\"box_2d\": [130, 128, 194, 172], \"label\": \"garlic on conveyor\"},\n{\"box_2d\": [29, 549, 75, 581], \"label\": \"garlic on conveyor\"},\n{\"box_2d\": [2, 610, 56, 636], \"label\": \"garlic on conveyor\"},\n{\"box_2d\": [0, 513, 51, 546], \"label\": \"garlic on conveyor\"},\n{\"box_2d\": [17, 443, 56, 470], \"label\": \"garlic on conveyor\"},\n{\"box_2d\": [6, 414, 51, 444], \"label\": \"garlic on conveyor\"},\n{\"box_2d\": [5, 381, 47, 410], \"label\": \"garlic on conveyor\"},\n{\"box_2d\": [1, 347, 47, 382], \"label\": \"garlic on conveyor\"},\n{\"box_2d\": [0, 252, 46, 283], \"label\": \"garlic on conveyor\"}]```", "correct": true, "input_tokens": 1238, "output_tokens": 1172, "elapsed_seconds": 53.297432207968086, "metadata": {"match_method": "map", "num_predictions": 34, "num_ground_truth": 27, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 53.4379}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 49, "image": "4106884_ContLeftUpper_f_jpg.rf.92488d92926163302f246be3b53efb13.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [520, 62, 545, 86], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [524, 145, 550, 166], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [529, 297, 550, 323], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [529, 381, 548, 400], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [530, 458, 551, 479], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [532, 616, 551, 639], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [410, 222, 439, 241], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [416, 300, 444, 322], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [418, 378, 445, 399], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [423, 461, 452, 479], \"label\": \"shipping container wall dent\"}\n]\n```", "correct": false, "input_tokens": 1219, "output_tokens": 380, "elapsed_seconds": 34.09575804206543, "metadata": {"match_method": "map", "num_predictions": 10, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 34.2542}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 50, "image": "img_459031286691397716_png.rf.6de9abc735878b2b2cc1f1fa95486a5f.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [7, 294, 129, 434], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [36, 159, 174, 307], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [46, 421, 165, 558], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [10, 544, 134, 683], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [47, 670, 178, 811], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [134, 675, 267, 818], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [96, 544, 217, 685], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [131, 413, 254, 559], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [93, 287, 219, 430], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [125, 143, 259, 294], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [219, 125, 355, 284], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [184, 274, 314, 424], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [227, 405, 353, 560], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [186, 541, 312, 691], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [229, 676, 362, 833], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [329, 679, 468, 846], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [285, 535, 420, 694], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [281, 255, 413, 416], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [321, 99, 459, 272], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [329, 391, 459, 553], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [434, 77, 576, 261], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [389, 240, 526, 410], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [441, 389, 578, 558], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [395, 535, 530, 701], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [444, 681, 583, 860], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [570, 685, 712, 872], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [514, 530, 655, 705], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [563, 372, 704, 548], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [508, 222, 648, 399], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [557, 44, 698, 241], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [694, 15, 841, 224], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [644, 204, 787, 391], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [702, 365, 847, 551], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [645, 531, 790, 716], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [707, 695, 853, 892], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [850, 705, 1000, 916], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [790, 529, 945, 722], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [845, 353, 999, 549], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [788, 177, 944, 377], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [840, 0, 1000, 198], \"label\": \"empty portable gas cylinder\"}\n]\n```", "correct": true, "input_tokens": 1203, "output_tokens": 1480, "elapsed_seconds": 61.145940875052474, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 40, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 61.259}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 51, "image": "1668147211__jpg.rf.0ee3d637cd990a070a8c1bcc234c9d5a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [56, 650, 111, 680], \"label\": \"six die\"},\n {\"box_2d\": [91, 675, 150, 707], \"label\": \"three die\"},\n {\"box_2d\": [151, 770, 204, 801], \"label\": \"two die\"},\n {\"box_2d\": [287, 740, 336, 769], \"label\": \"three die\"},\n {\"box_2d\": [291, 871, 339, 901], \"label\": \"five die\"},\n {\"box_2d\": [430, 809, 476, 835], \"label\": \"four die\"},\n {\"box_2d\": [479, 864, 530, 894], \"label\": \"one die\"},\n {\"box_2d\": [504, 843, 558, 874], \"label\": \"five die\"},\n {\"box_2d\": [506, 801, 560, 833], \"label\": \"five die\"},\n {\"box_2d\": [585, 798, 634, 828], \"label\": \"two die\"},\n {\"box_2d\": [602, 839, 645, 867], \"label\": \"one die\"},\n {\"box_2d\": [603, 880, 657, 912], \"label\": \"two die\"},\n {\"box_2d\": [652, 834, 699, 862], \"label\": \"one die\"},\n {\"box_2d\": [654, 801, 708, 832], \"label\": \"two die\"},\n {\"box_2d\": [696, 618, 750, 648], \"label\": \"three die\"},\n {\"box_2d\": [855, 581, 906, 609], \"label\": \"two die\"},\n {\"box_2d\": [782, 537, 829, 563], \"label\": \"one die\"},\n {\"box_2d\": [778, 472, 829, 499], \"label\": \"three die\"},\n {\"box_2d\": [661, 527, 709, 555], \"label\": \"four die\"},\n {\"box_2d\": [620, 508, 664, 533], \"label\": \"one die\"},\n {\"box_2d\": [664, 451, 713, 478], \"label\": \"two die\"},\n {\"box_2d\": [686, 426, 738, 455], \"label\": \"four die\"},\n {\"box_2d\": [657, 399, 703, 424], \"label\": \"six die\"},\n {\"box_2d\": [580, 417, 629, 444], \"label\": \"four die\"},\n {\"box_2d\": [603, 380, 655, 410], \"label\": \"three die\"},\n {\"box_2d\": [620, 310, 671, 338], \"label\": \"one die\"},\n {\"box_2d\": [531, 305, 582, 334], \"label\": \"one die\"},\n {\"box_2d\": [637, 210, 694, 242], \"label\": \"five die\"},\n {\"box_2d\": [624, 178, 671, 206], \"label\": \"six die\"},\n {\"box_2d\": [760, 223, 815, 255], \"label\": \"five die\"},\n {\"box_2d\": [892, 114, 941, 141], \"label\": \"one die\"},\n {\"box_2d\": [655, 28, 701, 56], \"label\": \"six die\"},\n {\"box_2d\": [434, 200, 484, 228], \"label\": \"five die\"},\n {\"box_2d\": [375, 194, 417, 219], \"label\": \"three die\"},\n {\"box_2d\": [255, 194, 313, 226], \"label\": \"five die\"},\n {\"box_2d\": [212, 219, 267, 251], \"label\": \"one die\"},\n {\"box_2d\": [250, 239, 301, 267], \"label\": \"two die\"},\n {\"box_2d\": [109, 244, 161, 272], \"label\": \"three die\"},\n {\"box_2d\": [156, 256, 210, 287], \"label\": \"five die\"},\n {\"box_2d\": [218, 297, 272, 324], \"label\": \"two die\"},\n {\"box_2d\": [229, 342, 282, 372], \"label\": \"five die\"},\n {\"box_2d\": [190, 367, 247, 398], \"label\": \"three die\"},\n {\"box_2d\": [244, 372, 303, 403], \"label\": \"one die\"},\n {\"box_2d\": [274, 401, 321, 426], \"label\": \"one die\"},\n {\"box_2d\": [331, 370, 382, 398], \"label\": \"six die\"},\n {\"box_2d\": [393, 419, 437, 444], \"label\": \"five die\"},\n {\"box_2d\": [355, 448, 410, 479], \"label\": \"three die\"},\n {\"box_2d\": [178, 456, 230, 484], \"label\": \"one die\"},\n {\"box_2d\": [244, 459, 303, 490], \"label\": \"five die\"},\n {\"box_2d\": [237, 491, 294, 521], \"label\": \"three die\"},\n {\"box_2d\": [351, 557, 410, 589], \"label\": \"six die\"}\n]\n```", "correct": false, "input_tokens": 1252, "output_tokens": 1793, "elapsed_seconds": 80.68261058302596, "metadata": {"match_method": "map", "num_predictions": 51, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6951320171356201, "attempts": 1, "retries": 0, "total_seconds": 80.7401}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 52, "image": "3533container_jpg.rf.12bfe57075507c019cfd5dc24dd08b40.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [595, 293, 712, 600], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [365, 224, 463, 353], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [468, 43, 567, 200], \"label\": \"shipping container wall dent\"}\n]\n```", "correct": false, "input_tokens": 1219, "output_tokens": 122, "elapsed_seconds": 9.936027665971778, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 10.0574}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 53, "image": "DJI_20230529095121_0346_T_JPG_jpg.rf.a2baa2ffdce5ec84e5f5d22342f6b310.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [703, 464, 725, 483], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [705, 502, 728, 520], \"label\": \"solar panel hot spot\"}\n]\n```", "correct": false, "input_tokens": 1228, "output_tokens": 86, "elapsed_seconds": 4.653108042082749, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.2574257552623749, "attempts": 1, "retries": 0, "total_seconds": 4.6787}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 54, "image": "IMG_20250815_170041_jpg.rf.a65978ab35e2cb48c68d9eebdeaab87b.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [584, 309, 672, 412], \"label\": \"barcode\"},\n {\"box_2d\": [666, 0, 756, 75], \"label\": \"barcode\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 77, "elapsed_seconds": 73.21825262496714, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 73.6711}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 55, "image": "1_000070_png.rf.a431761eff2c713a18daff7bade25bde.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [779, 507, 795, 517], \"label\": \"tire spike normal\"},\n {\"box_2d\": [672, 449, 691, 459], \"label\": \"tire spike normal\"},\n {\"box_2d\": [826, 577, 845, 586], \"label\": \"tire spike normal\"},\n {\"box_2d\": [650, 336, 667, 344], \"label\": \"tire spike normal\"},\n {\"box_2d\": [739, 289, 756, 297], \"label\": \"tire spike normal\"},\n {\"box_2d\": [203, 355, 223, 365], \"label\": \"tire spike normal\"},\n {\"box_2d\": [306, 289, 323, 297], \"label\": \"tire spike normal\"},\n {\"box_2d\": [220, 249, 238, 256], \"label\": \"tire spike normal\"},\n {\"box_2d\": [163, 195, 181, 202], \"label\": \"tire spike normal\"},\n {\"box_2d\": [213, 470, 235, 480], \"label\": \"tire spike normal\"},\n {\"box_2d\": [196, 526, 217, 535], \"label\": \"tire spike normal\"},\n {\"box_2d\": [258, 599, 280, 608], \"label\": \"tire spike normal\"},\n {\"box_2d\": [230, 653, 250, 663], \"label\": \"tire spike normal\"},\n {\"box_2d\": [280, 720, 300, 727], \"label\": \"tire spike normal\"},\n {\"box_2d\": [239, 767, 260, 774], \"label\": \"tire spike normal\"},\n {\"box_2d\": [304, 822, 322, 829], \"label\": \"tire spike normal\"},\n {\"box_2d\": [389, 860, 405, 865], \"label\": \"tire spike normal\"},\n {\"box_2d\": [401, 922, 415, 927], \"label\": \"tire spike normal\"},\n {\"box_2d\": [301, 899, 319, 904], \"label\": \"tire spike normal\"},\n {\"box_2d\": [315, 947, 333, 952], \"label\": \"tire spike normal\"},\n {\"box_2d\": [432, 962, 444, 966], \"label\": \"tire spike normal\"},\n {\"box_2d\": [757, 949, 766, 954], \"label\": \"tire spike normal\"},\n {\"box_2d\": [702, 942, 718, 946], \"label\": \"tire spike normal\"},\n {\"box_2d\": [712, 889, 730, 894], \"label\": \"tire spike normal\"},\n {\"box_2d\": [800, 756, 822, 764], \"label\": \"tire spike normal\"},\n {\"box_2d\": [805, 896, 816, 899], \"label\": \"tire spike absent\"},\n {\"box_2d\": [791, 851, 811, 858], \"label\": \"tire spike absent\"},\n {\"box_2d\": [841, 804, 864, 811], \"label\": \"tire spike absent\"},\n {\"box_2d\": [833, 699, 861, 709], \"label\": \"tire spike absent\"},\n {\"box_2d\": [788, 639, 807, 646], \"label\": \"tire spike absent\"},\n {\"box_2d\": [755, 396, 772, 402], \"label\": \"tire spike absent\"},\n {\"box_2d\": [758, 229, 783, 241], \"label\": \"tire spike absent\"},\n {\"box_2d\": [716, 180, 737, 186], \"label\": \"tire spike absent\"},\n {\"box_2d\": [633, 141, 649, 149], \"label\": \"tire spike normal\"},\n {\"box_2d\": [696, 105, 711, 111], \"label\": \"tire spike normal\"},\n {\"box_2d\": [596, 75, 610, 80], \"label\": \"tire spike normal\"},\n {\"box_2d\": [676, 53, 687, 58], \"label\": \"tire spike normal\"},\n {\"box_2d\": [328, 39, 342, 43], \"label\": \"tire spike normal\"},\n {\"box_2d\": [290, 59, 304, 65], \"label\": \"tire spike normal\"},\n {\"box_2d\": [196, 94, 211, 100], \"label\": \"tire spike normal\"},\n {\"box_2d\": [278, 128, 301, 136], \"label\": \"tire spike absent\"},\n {\"box_2d\": [311, 399, 333, 409], \"label\": \"tire spike absent\"}\n]\n```", "correct": false, "input_tokens": 1222, "output_tokens": 1515, "elapsed_seconds": 19.57675524998922, "metadata": {"match_method": "map", "num_predictions": 42, "num_ground_truth": 46, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 19.6599}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 56, "image": "egg-detection_image148_jpg.rf.7ef43d25f8e9b9b7f3d805f238830ff7.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [56, 570, 134, 625], \"label\": \"egg\"},\n {\"box_2d\": [160, 517, 240, 576], \"label\": \"egg\"},\n {\"box_2d\": [105, 613, 183, 676], \"label\": \"egg\"},\n {\"box_2d\": [21, 705, 92, 759], \"label\": \"egg\"},\n {\"box_2d\": [111, 686, 187, 738], \"label\": \"egg\"},\n {\"box_2d\": [224, 699, 300, 754], \"label\": \"egg\"},\n {\"box_2d\": [278, 661, 359, 719], \"label\": \"egg\"},\n {\"box_2d\": [336, 714, 417, 770], \"label\": \"egg\"},\n {\"box_2d\": [401, 632, 483, 694], \"label\": \"egg\"},\n {\"box_2d\": [408, 532, 489, 594], \"label\": \"egg\"},\n {\"box_2d\": [443, 761, 550, 804], \"label\": \"egg\"},\n {\"box_2d\": [515, 716, 595, 769], \"label\": \"egg\"},\n {\"box_2d\": [624, 757, 705, 809], \"label\": \"egg\"},\n {\"box_2d\": [633, 699, 717, 758], \"label\": \"egg\"},\n {\"box_2d\": [581, 660, 664, 719], \"label\": \"egg\"},\n {\"box_2d\": [587, 595, 673, 658], \"label\": \"egg\"},\n {\"box_2d\": [705, 618, 787, 676], \"label\": \"egg\"},\n {\"box_2d\": [753, 658, 836, 717], \"label\": \"egg\"},\n {\"box_2d\": [739, 742, 816, 795], \"label\": \"egg\"},\n {\"box_2d\": [802, 698, 880, 755], \"label\": \"egg\"},\n {\"box_2d\": [775, 519, 855, 581], \"label\": \"egg\"},\n {\"box_2d\": [911, 677, 985, 733], \"label\": \"egg\"},\n {\"box_2d\": [891, 731, 976, 773], \"label\": \"egg\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 791, "elapsed_seconds": 67.65682250005193, "metadata": {"match_method": "map", "num_predictions": 23, "num_ground_truth": 23, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 67.7942}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 57, "image": "wood-log-detection_024_png_jpg.rf.263e49a755104b6d29dbdffe768891e9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [66, 294, 189, 434], \"label\": \"log cross-section\"},\n {\"box_2d\": [103, 412, 161, 478], \"label\": \"log cross-section\"},\n {\"box_2d\": [125, 475, 167, 502], \"label\": \"log cross-section\"},\n {\"box_2d\": [150, 444, 217, 508], \"label\": \"log cross-section\"},\n {\"box_2d\": [147, 320, 203, 378], \"label\": \"log cross-section\"},\n {\"box_2d\": [169, 389, 234, 428], \"label\": \"log cross-section\"},\n {\"box_2d\": [125, 241, 180, 300], \"label\": \"log cross-section\"},\n {\"box_2d\": [144, 283, 198, 330], \"label\": \"log cross-section\"},\n {\"box_2d\": [173, 247, 236, 320], \"label\": \"log cross-section\"},\n {\"box_2d\": [191, 320, 267, 388], \"label\": \"log cross-section\"},\n {\"box_2d\": [216, 239, 259, 286], \"label\": \"log cross-section\"},\n {\"box_2d\": [223, 294, 267, 341], \"label\": \"log cross-section\"},\n {\"box_2d\": [252, 244, 336, 327], \"label\": \"log cross-section\"},\n {\"box_2d\": [308, 242, 355, 306], \"label\": \"log cross-section\"},\n {\"box_2d\": [248, 323, 344, 372], \"label\": \"log cross-section\"},\n {\"box_2d\": [278, 352, 353, 405], \"label\": \"log cross-section\"},\n {\"box_2d\": [238, 388, 284, 434], \"label\": \"log cross-section\"},\n {\"box_2d\": [202, 423, 242, 480], \"label\": \"log cross-section\"},\n {\"box_2d\": [231, 439, 275, 484], \"label\": \"log cross-section\"},\n {\"box_2d\": [267, 419, 308, 481], \"label\": \"log cross-section\"},\n {\"box_2d\": [298, 416, 359, 500], \"label\": \"log cross-section\"},\n {\"box_2d\": [306, 392, 355, 423], \"label\": \"log cross-section\"},\n {\"box_2d\": [292, 473, 336, 517], \"label\": \"log cross-section\"},\n {\"box_2d\": [216, 484, 256, 523], \"label\": \"log cross-section\"},\n {\"box_2d\": [250, 489, 302, 533], \"label\": \"log cross-section\"},\n {\"box_2d\": [184, 511, 227, 550], \"label\": \"log cross-section\"},\n {\"box_2d\": [153, 533, 223, 600], \"label\": \"log cross-section\"},\n {\"box_2d\": [120, 595, 181, 691], \"label\": \"log cross-section\"},\n {\"box_2d\": [150, 653, 223, 725], \"label\": \"log cross-section\"},\n {\"box_2d\": [175, 597, 244, 659], \"label\": \"log cross-section\"},\n {\"box_2d\": [223, 520, 277, 567], \"label\": \"log cross-section\"},\n {\"box_2d\": [222, 564, 267, 598], \"label\": \"log cross-section\"},\n {\"box_2d\": [206, 616, 270, 686], \"label\": \"log cross-section\"},\n {\"box_2d\": [200, 681, 255, 744], \"label\": \"log cross-section\"},\n {\"box_2d\": [252, 659, 319, 738], \"label\": \"log cross-section\"},\n {\"box_2d\": [295, 678, 350, 744], \"label\": \"log cross-section\"},\n {\"box_2d\": [269, 617, 333, 666], \"label\": \"log cross-section\"},\n {\"box_2d\": [259, 558, 342, 628], \"label\": \"log cross-section\"},\n {\"box_2d\": [295, 527, 355, 581], \"label\": \"log cross-section\"},\n {\"box_2d\": [327, 619, 355, 689], \"label\": \"log cross-section\"}\n]\n```", "correct": false, "input_tokens": 1228, "output_tokens": 1491, "elapsed_seconds": 41.07719966699369, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 40, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.20912306010723114, "attempts": 1, "retries": 0, "total_seconds": 41.1001}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 58, "image": "img_458587397241176242_png.rf.41b1d861ca437ce5097848dacad76db8.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [742, 427, 868, 606], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [624, 439, 744, 594], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [513, 444, 629, 591], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [414, 452, 526, 587], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [320, 458, 430, 585], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [231, 463, 345, 588], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [149, 468, 257, 585], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [101, 583, 208, 709], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [182, 580, 292, 711], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [269, 577, 378, 711], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [364, 576, 478, 714], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [465, 576, 584, 718], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [575, 577, 699, 728], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [694, 573, 819, 731], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [820, 569, 969, 741], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [877, 731, 1000, 913], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [746, 723, 882, 899], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [623, 717, 747, 885], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [504, 712, 629, 871], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [397, 709, 520, 860], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [298, 705, 416, 845], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [208, 701, 319, 839], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [121, 701, 229, 832], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [128, 365, 226, 477], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [172, 253, 272, 369], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [250, 244, 349, 362], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [333, 227, 439, 355], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [424, 211, 533, 345], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [520, 191, 631, 336], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [623, 171, 738, 326], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [736, 148, 853, 314], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [852, 123, 989, 300], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [810, 269, 943, 449], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [866, 415, 1000, 588], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [689, 290, 811, 463], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [579, 305, 692, 463], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [475, 321, 585, 459], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [377, 334, 493, 468], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [289, 343, 401, 471], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [205, 354, 317, 477], \"label\": \"empty portable gas cylinder\"}\n]\n```", "correct": false, "input_tokens": 1208, "output_tokens": 1494, "elapsed_seconds": 56.42102937493473, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 40, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.375, "attempts": 1, "retries": 0, "total_seconds": 56.5393}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 59, "image": "frame_0008_jpg.rf.87aed24f253375f69a3bb398f6521d18.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [219, 326, 260, 350], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [206, 447, 250, 473], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [110, 449, 152, 474], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [126, 334, 165, 357], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [117, 390, 158, 414], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [205, 509, 248, 535], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [111, 507, 152, 532], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [41, 342, 79, 365], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [32, 397, 68, 420], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [28, 507, 63, 531], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [27, 452, 62, 475], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [540, 503, 591, 532], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [525, 439, 577, 467], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [512, 377, 563, 405], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [497, 315, 550, 343], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [603, 303, 661, 329], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [624, 362, 678, 391], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [639, 426, 692, 455], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [654, 490, 707, 519], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [770, 485, 822, 513], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [757, 421, 807, 449], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [739, 357, 790, 383], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [723, 297, 773, 323], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [209, 385, 253, 411], \"label\": \"soda bottle cap\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 868, "elapsed_seconds": 41.61805545806419, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 24, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 42.199}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 60, "image": "uav20221018_ixfZ_3857_0_png.rf.68f3022f53a4bfe08c731fb3a58473cf.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [757, 326, 835, 405], \"label\": \"banana tree\"},\n {\"box_2d\": [880, 938, 954, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [453, 622, 505, 697], \"label\": \"banana tree\"},\n {\"box_2d\": [238, 692, 315, 764], \"label\": \"banana tree\"},\n {\"box_2d\": [928, 336, 998, 400], \"label\": \"banana tree\"},\n {\"box_2d\": [659, 695, 738, 777], \"label\": \"banana tree\"},\n {\"box_2d\": [397, 698, 476, 770], \"label\": \"banana tree\"},\n {\"box_2d\": [628, 943, 698, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [203, 941, 267, 987], \"label\": \"banana tree\"},\n {\"box_2d\": [909, 700, 983, 769], \"label\": \"banana tree\"},\n {\"box_2d\": [540, 412, 603, 468], \"label\": \"banana tree\"},\n {\"box_2d\": [205, 412, 275, 470], \"label\": \"banana tree\"},\n {\"box_2d\": [969, 411, 1000, 479], \"label\": \"banana tree\"},\n {\"box_2d\": [421, 344, 469, 395], \"label\": \"banana tree\"},\n {\"box_2d\": [826, 697, 907, 769], \"label\": \"banana tree\"},\n {\"box_2d\": [619, 646, 681, 708], \"label\": \"banana tree\"},\n {\"box_2d\": [450, 939, 533, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [800, 405, 875, 480], \"label\": \"banana tree\"},\n {\"box_2d\": [880, 411, 950, 483], \"label\": \"banana tree\"},\n {\"box_2d\": [283, 631, 337, 691], \"label\": \"banana tree\"},\n {\"box_2d\": [702, 624, 769, 708], \"label\": \"banana tree\"},\n {\"box_2d\": [315, 694, 400, 767], \"label\": \"banana tree\"},\n {\"box_2d\": [876, 624, 936, 706], \"label\": \"banana tree\"},\n {\"box_2d\": [377, 931, 444, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [374, 398, 447, 481], \"label\": \"banana tree\"},\n {\"box_2d\": [666, 343, 740, 411], \"label\": \"banana tree\"},\n {\"box_2d\": [788, 638, 860, 700], \"label\": \"banana tree\"},\n {\"box_2d\": [742, 703, 814, 777], \"label\": \"banana tree\"},\n {\"box_2d\": [960, 626, 1000, 698], \"label\": \"banana tree\"},\n {\"box_2d\": [566, 705, 649, 776], \"label\": \"banana tree\"},\n {\"box_2d\": [498, 322, 571, 405], \"label\": \"banana tree\"},\n {\"box_2d\": [285, 930, 369, 995], \"label\": \"banana tree\"},\n {\"box_2d\": [233, 339, 314, 403], \"label\": \"banana tree\"},\n {\"box_2d\": [540, 922, 619, 998], \"label\": \"banana tree\"},\n {\"box_2d\": [326, 326, 394, 395], \"label\": \"banana tree\"},\n {\"box_2d\": [535, 621, 608, 698], \"label\": \"banana tree\"},\n {\"box_2d\": [367, 619, 443, 692], \"label\": \"banana tree\"},\n {\"box_2d\": [713, 933, 780, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [447, 405, 513, 476], \"label\": \"banana tree\"},\n {\"box_2d\": [286, 406, 353, 470], \"label\": \"banana tree\"},\n {\"box_2d\": [480, 696, 565, 769], \"label\": \"banana tree\"},\n {\"box_2d\": [845, 342, 910, 403], \"label\": \"banana tree\"},\n {\"box_2d\": [632, 412, 701, 482], \"label\": \"banana tree\"},\n {\"box_2d\": [716, 420, 782, 474], \"label\": \"banana tree\"},\n {\"box_2d\": [585, 338, 659, 396], \"label\": \"banana tree\"},\n {\"box_2d\": [797, 949, 864, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [186, 681, 255, 756], \"label\": \"banana tree\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 1665, "elapsed_seconds": 19.18517895892728, "metadata": {"match_method": "map", "num_predictions": 47, "num_ground_truth": 47, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9551295638084412, "attempts": 1, "retries": 0, "total_seconds": 19.2511}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 61, "image": "egg-detection_image32_jpg.rf.bd04bf65691e0bae0f1d97601289a543.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [450, 427, 536, 491], \"label\": \"egg\"},\n {\"box_2d\": [177, 694, 255, 753], \"label\": \"egg\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 80, "elapsed_seconds": 14.250911832903512, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 14.389}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 62, "image": "construction-safety_ppe_0407_jpg.rf.b54d8bba5b223e0515f3d28ff728e79a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [329, 825, 377, 862], \"label\": \"safety helmet\"},\n {\"box_2d\": [343, 464, 386, 495], \"label\": \"safety helmet\"},\n {\"box_2d\": [357, 405, 401, 434], \"label\": \"safety helmet\"},\n {\"box_2d\": [377, 535, 434, 567], \"label\": \"safety helmet\"},\n {\"box_2d\": [399, 591, 437, 617], \"label\": \"safety helmet\"},\n {\"box_2d\": [357, 735, 396, 753], \"label\": \"safety helmet\"},\n {\"box_2d\": [307, 697, 375, 744], \"label\": \"safety helmet\"},\n {\"box_2d\": [348, 654, 390, 682], \"label\": \"safety helmet\"},\n {\"box_2d\": [372, 353, 418, 383], \"label\": \"safety helmet\"},\n {\"box_2d\": [461, 581, 650, 631], \"label\": \"safety vest\"},\n {\"box_2d\": [426, 392, 588, 443], \"label\": \"safety vest\"},\n {\"box_2d\": [417, 456, 614, 509], \"label\": \"safety vest\"},\n {\"box_2d\": [432, 647, 608, 695], \"label\": \"safety vest\"},\n {\"box_2d\": [449, 523, 648, 573], \"label\": \"safety vest\"},\n {\"box_2d\": [444, 340, 635, 394], \"label\": \"safety vest\"},\n {\"box_2d\": [399, 686, 680, 764], \"label\": \"safety vest\"},\n {\"box_2d\": [418, 826, 637, 891], \"label\": \"safety vest\"},\n {\"box_2d\": [374, 333, 821, 417], \"label\": \"person\"},\n {\"box_2d\": [358, 390, 783, 445], \"label\": \"person\"},\n {\"box_2d\": [345, 456, 738, 513], \"label\": \"person\"},\n {\"box_2d\": [378, 518, 807, 575], \"label\": \"person\"},\n {\"box_2d\": [400, 578, 808, 636], \"label\": \"person\"},\n {\"box_2d\": [349, 640, 816, 697], \"label\": \"person\"},\n {\"box_2d\": [307, 613, 989, 768], \"label\": \"person\"},\n {\"box_2d\": [332, 810, 895, 895], \"label\": \"person\"},\n {\"box_2d\": [360, 725, 860, 780], \"label\": \"person\"}\n]\n```", "correct": true, "input_tokens": 1220, "output_tokens": 913, "elapsed_seconds": 11.492295125033706, "metadata": {"match_method": "map", "num_predictions": 26, "num_ground_truth": 28, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9273927211761475, "attempts": 1, "retries": 0, "total_seconds": 11.5296}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 63, "image": "IMG_4931_jpg.rf.58c129944a1f2b663c55dbd43e27cf91.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [598, 250, 646, 274], \"label\": \"face\"},\n {\"box_2d\": [633, 344, 678, 366], \"label\": \"face\"},\n {\"box_2d\": [432, 282, 464, 297], \"label\": \"face\"},\n {\"box_2d\": [422, 252, 450, 267], \"label\": \"face\"},\n {\"box_2d\": [420, 376, 449, 391], \"label\": \"face\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 182, "elapsed_seconds": 271.8994155830005, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 28, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.1782178282737732, "attempts": 1, "retries": 0, "total_seconds": 272.3924}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 64, "image": "tile_232_jpg.rf.d215d900b9cd862d3217f88435d7ad8a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [585, 405, 650, 520], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [666, 783, 738, 976], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [624, 540, 725, 748], \"label\": \"ship in SAR satellite image\"}\n]\n```", "correct": true, "input_tokens": 1229, "output_tokens": 126, "elapsed_seconds": 28.500159583985806, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 28.5389}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 65, "image": "IMG_20250815_164441_jpg.rf.3c12e140b11a4091c99d31ed66a86850.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [598, 38, 622, 66], \"label\": \"barcode\"},\n {\"box_2d\": [603, 229, 627, 258], \"label\": \"barcode\"},\n {\"box_2d\": [612, 372, 637, 400], \"label\": \"barcode\"},\n {\"box_2d\": [616, 519, 640, 547], \"label\": \"barcode\"},\n {\"box_2d\": [621, 666, 645, 693], \"label\": \"barcode\"},\n {\"box_2d\": [631, 839, 653, 865], \"label\": \"barcode\"},\n {\"box_2d\": [633, 979, 656, 1000], \"label\": \"barcode\"},\n {\"box_2d\": [534, 838, 588, 866], \"label\": \"barcode\"},\n {\"box_2d\": [506, 629, 559, 657], \"label\": \"barcode\"},\n {\"box_2d\": [864, 653, 886, 680], \"label\": \"barcode\"},\n {\"box_2d\": [866, 525, 890, 552], \"label\": \"barcode\"},\n {\"box_2d\": [864, 396, 890, 424], \"label\": \"barcode\"},\n {\"box_2d\": [831, 214, 855, 241], \"label\": \"barcode\"},\n {\"box_2d\": [831, 41, 885, 69], \"label\": \"barcode\"},\n {\"box_2d\": [513, 209, 567, 237], \"label\": \"barcode\"},\n {\"box_2d\": [502, 324, 557, 351], \"label\": \"barcode\"},\n {\"box_2d\": [500, 486, 523, 513], \"label\": \"barcode\"},\n {\"box_2d\": [181, 510, 235, 538], \"label\": \"barcode\"},\n {\"box_2d\": [92, 637, 148, 665], \"label\": \"barcode\"},\n {\"box_2d\": [155, 418, 181, 446], \"label\": \"barcode\"},\n {\"box_2d\": [145, 261, 204, 290], \"label\": \"barcode\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 722, "elapsed_seconds": 110.86482162494212, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 21, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 111.3603}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 66, "image": "car-part-detection_Car-damages-128_png_jpg.rf.e07bc73742c49cec70d8b7dc538a39d2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [556, 56, 772, 111], \"label\": \"front bumper\"},\n {\"box_2d\": [362, 74, 495, 315], \"label\": \"hood\"},\n {\"box_2d\": [498, 67, 581, 102], \"label\": \"headlight\"},\n {\"box_2d\": [228, 305, 417, 456], \"label\": \"windshield\"},\n {\"box_2d\": [345, 378, 420, 419], \"label\": \"mirror\"},\n {\"box_2d\": [219, 349, 417, 608], \"label\": \"front window\"},\n {\"box_2d\": [218, 603, 391, 811], \"label\": \"back window\"},\n {\"box_2d\": [218, 563, 703, 811], \"label\": \"back door\"},\n {\"box_2d\": [219, 316, 718, 608], \"label\": \"front door\"},\n {\"box_2d\": [356, 895, 480, 932], \"label\": \"tail light\"},\n {\"box_2d\": [498, 864, 720, 949], \"label\": \"back bumper\"},\n {\"box_2d\": [243, 864, 372, 922], \"label\": \"back windshield\"}\n]\n```", "correct": true, "input_tokens": 1224, "output_tokens": 427, "elapsed_seconds": 6.815019959001802, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 13, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9587457776069641, "attempts": 1, "retries": 0, "total_seconds": 6.8368}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 67, "image": "Lego_73_low_jpeg.rf.bf207a14dd8d49e9b00aae2e1a8886e1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [769, 892, 836, 970], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [705, 845, 790, 929], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [568, 777, 653, 852], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [635, 938, 728, 999], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [525, 851, 622, 949], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [491, 797, 567, 864], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [718, 632, 783, 732], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [592, 588, 653, 691], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [526, 535, 604, 623], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [712, 396, 759, 496], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [588, 429, 652, 530], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [546, 393, 625, 483], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [606, 294, 659, 412], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [412, 425, 482, 538], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [454, 270, 550, 329], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [702, 93, 807, 171], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [398, 41, 496, 114], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [228, 43, 305, 146], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [188, 241, 258, 333], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [62, 203, 133, 297], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [104, 517, 183, 617], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [200, 452, 260, 558], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [37, 678, 137, 787], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [233, 667, 319, 738], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [199, 764, 302, 825], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [185, 810, 286, 858], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [127, 842, 237, 886], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [158, 941, 248, 1000], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [386, 807, 468, 878], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [409, 728, 487, 813], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [386, 681, 467, 774], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [378, 629, 477, 690], \"label\": \"lego 4x1 brick\"}\n]\n```", "correct": true, "input_tokens": 1244, "output_tokens": 1256, "elapsed_seconds": 17.439413625048473, "metadata": {"match_method": "map", "num_predictions": 32, "num_ground_truth": 32, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8426292538642883, "attempts": 1, "retries": 0, "total_seconds": 17.5228}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 68, "image": "IMG_6646_jpeg_jpg.rf.bb15616ff058bc9ba8f9683f61ab5fbb.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [345, 336, 411, 505], \"label\": \"green poker chip\"},\n {\"box_2d\": [385, 336, 429, 504], \"label\": \"green poker chip\"},\n {\"box_2d\": [399, 339, 444, 508], \"label\": \"green poker chip\"},\n {\"box_2d\": [411, 343, 461, 511], \"label\": \"green poker chip\"},\n {\"box_2d\": [427, 346, 477, 516], \"label\": \"green poker chip\"},\n {\"box_2d\": [444, 351, 492, 516], \"label\": \"green poker chip\"},\n {\"box_2d\": [447, 342, 511, 508], \"label\": \"green poker chip\"},\n {\"box_2d\": [461, 550, 521, 717], \"label\": \"green poker chip\"},\n {\"box_2d\": [446, 530, 500, 696], \"label\": \"green poker chip\"},\n {\"box_2d\": [431, 530, 483, 702], \"label\": \"green poker chip\"},\n {\"box_2d\": [419, 533, 468, 702], \"label\": \"green poker chip\"},\n {\"box_2d\": [401, 530, 453, 705], \"label\": \"green poker chip\"},\n {\"box_2d\": [390, 535, 437, 706], \"label\": \"green poker chip\"},\n {\"box_2d\": [375, 532, 420, 706], \"label\": \"green poker chip\"},\n {\"box_2d\": [357, 530, 405, 705], \"label\": \"green poker chip\"},\n {\"box_2d\": [348, 535, 387, 705], \"label\": \"green poker chip\"},\n {\"box_2d\": [312, 530, 369, 709], \"label\": \"green poker chip\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 624, "elapsed_seconds": 7.928715333924629, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 17, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 7.9532}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 69, "image": "41_jpg.rf.2cb4080a10f215e4bd4d6ed6d4ea3e68.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [234, 238, 545, 323], \"label\": \"blood sample tube\"},\n {\"box_2d\": [467, 180, 703, 381], \"label\": \"blood sample tube\"},\n {\"box_2d\": [548, 336, 731, 561], \"label\": \"blood sample tube\"},\n {\"box_2d\": [556, 416, 736, 642], \"label\": \"blood sample tube\"},\n {\"box_2d\": [336, 378, 603, 550], \"label\": \"blood sample tube\"},\n {\"box_2d\": [356, 473, 648, 622], \"label\": \"blood sample tube\"},\n {\"box_2d\": [231, 498, 536, 619], \"label\": \"blood sample tube\"},\n {\"box_2d\": [92, 330, 345, 512], \"label\": \"blood sample tube\"},\n {\"box_2d\": [303, 617, 608, 747], \"label\": \"blood sample tube\"},\n {\"box_2d\": [397, 636, 684, 789], \"label\": \"blood sample tube\"},\n {\"box_2d\": [367, 722, 681, 842], \"label\": \"blood sample tube\"},\n {\"box_2d\": [345, 830, 680, 884], \"label\": \"blood sample tube\"},\n {\"box_2d\": [353, 881, 684, 927], \"label\": \"blood sample tube\"},\n {\"box_2d\": [678, 673, 736, 927], \"label\": \"blood sample tube\"},\n {\"box_2d\": [23, 870, 353, 916], \"label\": \"blood sample tube\"},\n {\"box_2d\": [173, 631, 275, 884], \"label\": \"blood sample tube\"},\n {\"box_2d\": [134, 466, 200, 708], \"label\": \"blood sample tube\"},\n {\"box_2d\": [77, 386, 144, 617], \"label\": \"blood sample tube\"},\n {\"box_2d\": [77, 631, 141, 875], \"label\": \"blood sample tube\"},\n {\"box_2d\": [20, 623, 84, 864], \"label\": \"blood sample tube\"},\n {\"box_2d\": [25, 384, 89, 622], \"label\": \"blood sample tube\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 760, "elapsed_seconds": 9.388201333000325, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 21, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 9.4174}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 70, "image": "construction-safety_ppe_0710_jpg.rf.d335438ef5819cfad67cee1d9e8c6eab.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [219, 434, 836, 567], \"label\": \"person\"},\n {\"box_2d\": [222, 463, 281, 514], \"label\": \"safety helmet\"},\n {\"box_2d\": [224, 150, 892, 280], \"label\": \"person\"},\n {\"box_2d\": [171, 47, 888, 187], \"label\": \"person\"},\n {\"box_2d\": [324, 323, 558, 427], \"label\": \"safety vest\"},\n {\"box_2d\": [221, 783, 297, 858], \"label\": \"safety helmet\"},\n {\"box_2d\": [210, 650, 862, 795], \"label\": \"person\"},\n {\"box_2d\": [320, 667, 526, 782], \"label\": \"safety vest\"},\n {\"box_2d\": [216, 313, 861, 444], \"label\": \"person\"},\n {\"box_2d\": [278, 571, 333, 626], \"label\": \"safety helmet\"},\n {\"box_2d\": [280, 543, 889, 672], \"label\": \"person\"},\n {\"box_2d\": [224, 176, 296, 245], \"label\": \"safety helmet\"},\n {\"box_2d\": [191, 279, 242, 329], \"label\": \"safety helmet\"},\n {\"box_2d\": [284, 76, 515, 181], \"label\": \"safety vest\"},\n {\"box_2d\": [221, 738, 960, 932], \"label\": \"person\"},\n {\"box_2d\": [298, 259, 509, 345], \"label\": \"safety vest\"},\n {\"box_2d\": [170, 103, 231, 163], \"label\": \"safety helmet\"},\n {\"box_2d\": [325, 450, 541, 546], \"label\": \"safety vest\"},\n {\"box_2d\": [191, 247, 829, 355], \"label\": \"person\"},\n {\"box_2d\": [389, 554, 620, 655], \"label\": \"safety vest\"},\n {\"box_2d\": [332, 764, 570, 895], \"label\": \"safety vest\"},\n {\"box_2d\": [216, 348, 275, 403], \"label\": \"safety helmet\"},\n {\"box_2d\": [211, 698, 265, 753], \"label\": \"safety helmet\"},\n {\"box_2d\": [341, 169, 588, 273], \"label\": \"safety vest\"}\n]\n```", "correct": true, "input_tokens": 1222, "output_tokens": 842, "elapsed_seconds": 12.338398750056513, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 24, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 12.3958}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 71, "image": "4103456_ContLeftUpper_f_jpg.rf.6635963edc568c350879157eaf0b4b06.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [529, 98, 560, 123], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [525, 180, 581, 204], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [556, 259, 576, 282], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [556, 338, 577, 365], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [361, 257, 459, 281], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [363, 179, 463, 200], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [363, 338, 455, 362], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [353, 417, 449, 444], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [350, 498, 393, 524], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [391, 16, 466, 39], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [540, 18, 571, 41], \"label\": \"shipping container wall dent\"}\n]\n```", "correct": false, "input_tokens": 1255, "output_tokens": 414, "elapsed_seconds": 8.066090625012293, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 20, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.20792078971862793, "attempts": 1, "retries": 0, "total_seconds": 8.1846}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 72, "image": "V000087_0_0-Drive-Shaft_jpeg_jpg.rf.148a90e2fb96f98fb22ea082d09655d1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [799, 95, 968, 952], \"label\": \"technical drawing table\"},\n {\"box_2d\": [171, 349, 214, 444], \"label\": \"surface roughness symbol\"},\n {\"box_2d\": [163, 434, 221, 502], \"label\": \"dimension annotation\"},\n {\"box_2d\": [168, 494, 240, 567], \"label\": \"dimension annotation\"},\n {\"box_2d\": [186, 540, 214, 629], \"label\": \"dimension annotation\"},\n {\"box_2d\": [266, 550, 287, 667], \"label\": \"dimension annotation\"},\n {\"box_2d\": [266, 488, 287, 550], \"label\": \"dimension annotation\"},\n {\"box_2d\": [296, 311, 323, 434], \"label\": \"dimension annotation\"},\n {\"box_2d\": [296, 433, 323, 577], \"label\": \"dimension annotation\"},\n {\"box_2d\": [157, 672, 263, 819], \"label\": \"dimension annotation\"},\n {\"box_2d\": [145, 731, 284, 907], \"label\": \"dimension annotation\"},\n {\"box_2d\": [513, 215, 540, 578], \"label\": \"dimension annotation\"},\n {\"box_2d\": [437, 583, 474, 628], \"label\": \"dimension annotation\"},\n {\"box_2d\": [427, 583, 484, 668], \"label\": \"dimension annotation\"},\n {\"box_2d\": [482, 583, 515, 628], \"label\": \"dimension annotation\"}\n]\n```", "correct": false, "input_tokens": 1237, "output_tokens": 538, "elapsed_seconds": 8.560030334047042, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.666666567325592, "attempts": 1, "retries": 0, "total_seconds": 8.5743}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 73, "image": "1_000290_png.rf.2ed72f4c5f09c4e50e5326dbdb424cd7.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [757, 199, 779, 232], \"label\": \"tire spike normal\"},\n {\"box_2d\": [654, 171, 678, 200], \"label\": \"tire spike normal\"},\n {\"box_2d\": [535, 245, 559, 277], \"label\": \"tire spike normal\"},\n {\"box_2d\": [457, 199, 476, 229], \"label\": \"tire spike normal\"},\n {\"box_2d\": [301, 217, 319, 244], \"label\": \"tire spike normal\"},\n {\"box_2d\": [218, 273, 231, 299], \"label\": \"tire spike normal\"},\n {\"box_2d\": [114, 259, 126, 285], \"label\": \"tire spike normal\"},\n {\"box_2d\": [134, 353, 145, 378], \"label\": \"tire spike normal\"},\n {\"box_2d\": [205, 430, 218, 456], \"label\": \"tire spike normal\"},\n {\"box_2d\": [297, 496, 312, 523], \"label\": \"tire spike normal\"},\n {\"box_2d\": [237, 563, 251, 591], \"label\": \"tire spike normal\"},\n {\"box_2d\": [158, 646, 171, 676], \"label\": \"tire spike normal\"},\n {\"box_2d\": [134, 745, 146, 772], \"label\": \"tire spike normal\"},\n {\"box_2d\": [96, 773, 108, 796], \"label\": \"tire spike normal\"},\n {\"box_2d\": [248, 722, 265, 752], \"label\": \"tire spike normal\"},\n {\"box_2d\": [338, 779, 356, 809], \"label\": \"tire spike normal\"},\n {\"box_2d\": [425, 622, 443, 653], \"label\": \"tire spike normal\"},\n {\"box_2d\": [381, 366, 396, 396], \"label\": \"tire spike normal\"},\n {\"box_2d\": [450, 397, 467, 427], \"label\": \"tire spike normal\"},\n {\"box_2d\": [494, 590, 516, 623], \"label\": \"tire spike normal\"},\n {\"box_2d\": [498, 788, 520, 818], \"label\": \"tire spike normal\"},\n {\"box_2d\": [583, 738, 608, 770], \"label\": \"tire spike normal\"},\n {\"box_2d\": [706, 816, 729, 847], \"label\": \"tire spike normal\"},\n {\"box_2d\": [812, 783, 836, 814], \"label\": \"tire spike normal\"},\n {\"box_2d\": [881, 667, 900, 697], \"label\": \"tire spike normal\"},\n {\"box_2d\": [696, 566, 715, 597], \"label\": \"tire spike normal\"},\n {\"box_2d\": [639, 417, 662, 449], \"label\": \"tire spike absent\"},\n {\"box_2d\": [826, 318, 847, 349], \"label\": \"tire spike normal\"},\n {\"box_2d\": [891, 487, 916, 524], \"label\": \"tire spike normal\"},\n {\"box_2d\": [81, 563, 89, 590], \"label\": \"tire spike normal\"},\n {\"box_2d\": [173, 502, 191, 524], \"label\": \"tire spike absent\"}\n]\n```", "correct": false, "input_tokens": 1215, "output_tokens": 1125, "elapsed_seconds": 32.335917625110596, "metadata": {"match_method": "map", "num_predictions": 31, "num_ground_truth": 35, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3564355969429016, "attempts": 1, "retries": 0, "total_seconds": 32.394}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 74, "image": "GP010212_JPG_jpg.rf.6a034cdac286be2f0a162b6bfc04e1c0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [230, 500, 272, 720], \"label\": \"carrot\"},\n {\"box_2d\": [254, 449, 314, 608], \"label\": \"carrot\"},\n {\"box_2d\": [256, 200, 362, 383], \"label\": \"carrot\"},\n {\"box_2d\": [269, 231, 376, 449], \"label\": \"carrot\"},\n {\"box_2d\": [278, 505, 369, 681], \"label\": \"carrot\"},\n {\"box_2d\": [298, 673, 453, 700], \"label\": \"carrot\"},\n {\"box_2d\": [321, 485, 391, 646], \"label\": \"carrot\"},\n {\"box_2d\": [339, 431, 412, 583], \"label\": \"carrot\"},\n {\"box_2d\": [379, 524, 442, 686], \"label\": \"carrot\"},\n {\"box_2d\": [363, 250, 408, 488], \"label\": \"carrot\"},\n {\"box_2d\": [354, 95, 491, 256], \"label\": \"carrot\"},\n {\"box_2d\": [373, 182, 505, 289], \"label\": \"carrot\"},\n {\"box_2d\": [397, 326, 434, 503], \"label\": \"carrot\"},\n {\"box_2d\": [427, 368, 455, 513], \"label\": \"carrot\"},\n {\"box_2d\": [427, 282, 520, 494], \"label\": \"carrot\"},\n {\"box_2d\": [471, 286, 527, 455], \"label\": \"carrot\"},\n {\"box_2d\": [457, 403, 524, 567], \"label\": \"carrot\"},\n {\"box_2d\": [451, 440, 488, 650], \"label\": \"carrot\"},\n {\"box_2d\": [523, 427, 554, 591], \"label\": \"carrot\"},\n {\"box_2d\": [479, 209, 623, 353], \"label\": \"carrot\"},\n {\"box_2d\": [498, 107, 634, 235], \"label\": \"carrot\"},\n {\"box_2d\": [532, 328, 589, 585], \"label\": \"carrot\"},\n {\"box_2d\": [532, 300, 661, 491], \"label\": \"carrot\"},\n {\"box_2d\": [628, 206, 669, 428], \"label\": \"carrot\"},\n {\"box_2d\": [486, 616, 568, 807], \"label\": \"carrot\"},\n {\"box_2d\": [573, 525, 611, 725], \"label\": \"carrot\"},\n {\"box_2d\": [607, 559, 643, 722], \"label\": \"carrot\"},\n {\"box_2d\": [629, 525, 687, 767], \"label\": \"carrot\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 963, "elapsed_seconds": 30.740049624932, "metadata": {"match_method": "map", "num_predictions": 28, "num_ground_truth": 28, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 30.7668}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 75, "image": "egg-detection_image25_jpg.rf.5c4d3f7ce6887203cc33b5f86e849ef9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [74, 752, 144, 797], \"label\": \"egg\"},\n {\"box_2d\": [113, 715, 185, 764], \"label\": \"egg\"},\n {\"box_2d\": [92, 798, 159, 839], \"label\": \"egg\"},\n {\"box_2d\": [243, 395, 328, 452], \"label\": \"egg\"},\n {\"box_2d\": [264, 689, 349, 750], \"label\": \"egg\"},\n {\"box_2d\": [324, 661, 402, 712], \"label\": \"egg\"},\n {\"box_2d\": [373, 582, 466, 632], \"label\": \"egg\"},\n {\"box_2d\": [290, 811, 362, 853], \"label\": \"egg\"},\n {\"box_2d\": [400, 809, 471, 852], \"label\": \"egg\"},\n {\"box_2d\": [495, 444, 579, 504], \"label\": \"egg\"},\n {\"box_2d\": [565, 521, 646, 579], \"label\": \"egg\"},\n {\"box_2d\": [616, 485, 719, 533], \"label\": \"egg\"},\n {\"box_2d\": [685, 430, 761, 488], \"label\": \"egg\"},\n {\"box_2d\": [854, 601, 932, 653], \"label\": \"egg\"},\n {\"box_2d\": [847, 677, 920, 730], \"label\": \"egg\"},\n {\"box_2d\": [888, 710, 962, 755], \"label\": \"egg\"},\n {\"box_2d\": [836, 745, 904, 789], \"label\": \"egg\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 588, "elapsed_seconds": 40.28562891704496, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 17, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 40.4159}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 76, "image": "94D76C4A-9650-486B-8278-406A692F552F_jpg.rf.441749660b1bde146bfdbfa517d4e058.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [732, 206, 777, 246], \"label\": \"pill\"},\n {\"box_2d\": [615, 344, 659, 389], \"label\": \"pill\"},\n {\"box_2d\": [526, 303, 570, 347], \"label\": \"pill\"},\n {\"box_2d\": [469, 281, 513, 326], \"label\": \"pill\"},\n {\"box_2d\": [433, 238, 476, 282], \"label\": \"pill\"},\n {\"box_2d\": [427, 286, 470, 330], \"label\": \"pill\"},\n {\"box_2d\": [468, 331, 512, 375], \"label\": \"pill\"},\n {\"box_2d\": [387, 301, 430, 345], \"label\": \"pill\"},\n {\"box_2d\": [345, 275, 389, 319], \"label\": \"pill\"},\n {\"box_2d\": [364, 339, 408, 384], \"label\": \"pill\"},\n {\"box_2d\": [405, 360, 449, 404], \"label\": \"pill\"},\n {\"box_2d\": [513, 404, 558, 448], \"label\": \"pill\"},\n {\"box_2d\": [499, 486, 544, 531], \"label\": \"pill\"},\n {\"box_2d\": [416, 425, 459, 469], \"label\": \"pill\"},\n {\"box_2d\": [385, 456, 429, 500], \"label\": \"pill\"},\n {\"box_2d\": [322, 434, 366, 478], \"label\": \"pill\"},\n {\"box_2d\": [196, 359, 240, 403], \"label\": \"pill\"},\n {\"box_2d\": [189, 414, 233, 458], \"label\": \"pill\"},\n {\"box_2d\": [235, 436, 278, 480], \"label\": \"pill\"},\n {\"box_2d\": [268, 462, 312, 506], \"label\": \"pill\"},\n {\"box_2d\": [309, 475, 353, 519], \"label\": \"pill\"},\n {\"box_2d\": [182, 490, 226, 534], \"label\": \"pill\"},\n {\"box_2d\": [163, 578, 207, 622], \"label\": \"pill\"},\n {\"box_2d\": [166, 622, 211, 667], \"label\": \"pill\"},\n {\"box_2d\": [198, 662, 242, 707], \"label\": \"pill\"},\n {\"box_2d\": [264, 562, 308, 606], \"label\": \"pill\"},\n {\"box_2d\": [269, 605, 314, 650], \"label\": \"pill\"},\n {\"box_2d\": [299, 660, 344, 706], \"label\": \"pill\"},\n {\"box_2d\": [322, 519, 366, 563], \"label\": \"pill\"},\n {\"box_2d\": [361, 498, 405, 542], \"label\": \"pill\"},\n {\"box_2d\": [360, 542, 404, 586], \"label\": \"pill\"},\n {\"box_2d\": [317, 591, 362, 636], \"label\": \"pill\"},\n {\"box_2d\": [343, 640, 387, 685], \"label\": \"pill\"},\n {\"box_2d\": [361, 709, 406, 754], \"label\": \"pill\"},\n {\"box_2d\": [408, 510, 452, 554], \"label\": \"pill\"},\n {\"box_2d\": [452, 517, 496, 561], \"label\": \"pill\"},\n {\"box_2d\": [423, 550, 467, 594], \"label\": \"pill\"},\n {\"box_2d\": [386, 579, 430, 624], \"label\": \"pill\"},\n {\"box_2d\": [387, 625, 431, 670], \"label\": \"pill\"},\n {\"box_2d\": [408, 668, 452, 713], \"label\": \"pill\"},\n {\"box_2d\": [455, 676, 499, 722], \"label\": \"pill\"},\n {\"box_2d\": [445, 586, 489, 631], \"label\": \"pill\"},\n {\"box_2d\": [486, 574, 530, 619], \"label\": \"pill\"},\n {\"box_2d\": [496, 634, 541, 679], \"label\": \"pill\"},\n {\"box_2d\": [603, 660, 649, 706], \"label\": \"pill\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 1542, "elapsed_seconds": 73.29686633404344, "metadata": {"match_method": "map", "num_predictions": 45, "num_ground_truth": 45, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 73.7681}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 77, "image": "IMG_3989_JPG.rf.c4cc3b74f996b28db8e9373b455775a3.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [213, 336, 232, 344], \"label\": \"face\"},\n {\"box_2d\": [272, 461, 290, 469], \"label\": \"face\"},\n {\"box_2d\": [423, 417, 450, 428], \"label\": \"face\"},\n {\"box_2d\": [200, 279, 217, 286], \"label\": \"face\"},\n {\"box_2d\": [311, 384, 332, 394], \"label\": \"face\"},\n {\"box_2d\": [306, 335, 326, 344], \"label\": \"face\"},\n {\"box_2d\": [401, 601, 419, 610], \"label\": \"face\"},\n {\"box_2d\": [208, 313, 226, 320], \"label\": \"face\"},\n {\"box_2d\": [200, 249, 217, 257], \"label\": \"face\"},\n {\"box_2d\": [244, 469, 260, 476], \"label\": \"face\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 352, "elapsed_seconds": 73.17980916704983, "metadata": {"match_method": "map", "num_predictions": 10, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6940593719482422, "attempts": 1, "retries": 0, "total_seconds": 73.6479}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 78, "image": "basketball-player-detection_boston-celtics-new-york-knicks-game-4-q1-01-22-01-16-0112_png.rf.813de841eef35ee5de0aa209e2d3e51f.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [562, 434, 581, 444], \"label\": \"jersey number\"},\n {\"box_2d\": [324, 376, 355, 388], \"label\": \"jersey number\"},\n {\"box_2d\": [742, 597, 764, 608], \"label\": \"jersey number\"},\n {\"box_2d\": [278, 631, 294, 635], \"label\": \"jersey number\"},\n {\"box_2d\": [678, 279, 706, 290], \"label\": \"jersey number\"},\n {\"box_2d\": [220, 610, 374, 646], \"label\": \"player\"},\n {\"box_2d\": [329, 622, 344, 626], \"label\": \"jersey number\"},\n {\"box_2d\": [512, 720, 728, 787], \"label\": \"player\"},\n {\"box_2d\": [283, 592, 463, 635], \"label\": \"player\"},\n {\"box_2d\": [248, 0, 434, 46], \"label\": \"referee\"},\n {\"box_2d\": [626, 821, 825, 870], \"label\": \"player\"},\n {\"box_2d\": [270, 768, 460, 801], \"label\": \"referee\"},\n {\"box_2d\": [231, 302, 408, 359], \"label\": \"player\"},\n {\"box_2d\": [691, 839, 722, 853], \"label\": \"jersey number\"},\n {\"box_2d\": [572, 755, 590, 761], \"label\": \"jersey number\"},\n {\"box_2d\": [517, 401, 771, 452], \"label\": \"player\"},\n {\"box_2d\": [291, 347, 492, 412], \"label\": \"player\"},\n {\"box_2d\": [397, 265, 415, 277], \"label\": \"jersey number\"},\n {\"box_2d\": [607, 251, 879, 315], \"label\": \"player\"},\n {\"box_2d\": [296, 213, 586, 320], \"label\": \"player\"},\n {\"box_2d\": [227, 714, 281, 757], \"label\": \"basket rim\"},\n {\"box_2d\": [296, 178, 598, 227], \"label\": \"player taking jump shot\"},\n {\"box_2d\": [686, 577, 868, 623], \"label\": \"referee\"},\n {\"box_2d\": [219, 225, 255, 245], \"label\": \"basketball\"},\n {\"box_2d\": [405, 181, 432, 186], \"label\": \"jersey number\"}\n]\n```", "correct": false, "input_tokens": 1251, "output_tokens": 876, "elapsed_seconds": 51.398208208032884, "metadata": {"match_method": "map", "num_predictions": 25, "num_ground_truth": 25, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6967362761497498, "attempts": 1, "retries": 0, "total_seconds": 51.5316}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 79, "image": "Screenshot-2024-05-16-150258_png.rf.730fbfcbd2cdbb24d8003d2a2cd88782.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 611, 24, 639], \"label\": \"bullet hole\"},\n {\"box_2d\": [66, 15, 92, 43], \"label\": \"bullet hole\"},\n {\"box_2d\": [113, 102, 141, 132], \"label\": \"bullet hole\"},\n {\"box_2d\": [171, 193, 199, 225], \"label\": \"bullet hole\"},\n {\"box_2d\": [184, 346, 211, 376], \"label\": \"bullet hole\"},\n {\"box_2d\": [250, 482, 282, 512], \"label\": \"bullet hole\"},\n {\"box_2d\": [336, 0, 365, 25], \"label\": \"bullet hole\"},\n {\"box_2d\": [438, 225, 466, 251], \"label\": \"bullet hole\"},\n {\"box_2d\": [701, 418, 729, 448], \"label\": \"bullet hole\"},\n {\"box_2d\": [878, 357, 904, 386], \"label\": \"bullet hole\"},\n {\"box_2d\": [985, 185, 1000, 214], \"label\": \"bullet hole\"},\n {\"box_2d\": [902, 611, 930, 643], \"label\": \"bullet hole\"},\n {\"box_2d\": [662, 686, 690, 715], \"label\": \"bullet hole\"},\n {\"box_2d\": [720, 894, 752, 926], \"label\": \"bullet hole\"},\n {\"box_2d\": [820, 847, 848, 879], \"label\": \"bullet hole\"},\n {\"box_2d\": [833, 932, 861, 962], \"label\": \"bullet hole\"},\n {\"box_2d\": [921, 922, 947, 951], \"label\": \"bullet hole\"},\n {\"box_2d\": [530, 792, 556, 826], \"label\": \"bullet hole\"},\n {\"box_2d\": [487, 698, 515, 730], \"label\": \"bullet hole\"},\n {\"box_2d\": [436, 620, 462, 650], \"label\": \"bullet hole\"},\n {\"box_2d\": [400, 728, 427, 758], \"label\": \"bullet hole\"},\n {\"box_2d\": [455, 819, 481, 851], \"label\": \"bullet hole\"},\n {\"box_2d\": [327, 800, 357, 832], \"label\": \"bullet hole\"},\n {\"box_2d\": [352, 977, 382, 1000], \"label\": \"bullet hole\"},\n {\"box_2d\": [235, 905, 267, 940], \"label\": \"bullet hole\"},\n {\"box_2d\": [237, 741, 269, 773], \"label\": \"bullet hole\"},\n {\"box_2d\": [160, 686, 188, 713], \"label\": \"bullet hole\"},\n {\"box_2d\": [143, 817, 173, 847], \"label\": \"bullet hole\"},\n {\"box_2d\": [109, 898, 137, 926], \"label\": \"bullet hole\"},\n {\"box_2d\": [58, 767, 86, 796], \"label\": \"bullet hole\"},\n {\"box_2d\": [26, 894, 53, 922], \"label\": \"bullet hole\"}\n]\n```", "correct": false, "input_tokens": 1226, "output_tokens": 1085, "elapsed_seconds": 13.185904165962711, "metadata": {"match_method": "map", "num_predictions": 31, "num_ground_truth": 30, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.17410147190093994, "attempts": 1, "retries": 0, "total_seconds": 13.2017}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 80, "image": "AF6880-9_2025_NCPT-128_JPG_jpg.rf.58feab8edece278692e9ee124939da54.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [771, 673, 837, 698], \"label\": \"potato\"},\n {\"box_2d\": [886, 581, 965, 610], \"label\": \"potato\"},\n {\"box_2d\": [603, 628, 709, 665], \"label\": \"potato\"},\n {\"box_2d\": [495, 626, 600, 661], \"label\": \"potato\"},\n {\"box_2d\": [508, 676, 571, 699], \"label\": \"potato\"},\n {\"box_2d\": [477, 704, 585, 745], \"label\": \"potato\"},\n {\"box_2d\": [117, 756, 232, 811], \"label\": \"potato\"},\n {\"box_2d\": [210, 718, 300, 754], \"label\": \"potato\"},\n {\"box_2d\": [217, 668, 329, 715], \"label\": \"potato\"},\n {\"box_2d\": [92, 719, 159, 748], \"label\": \"potato\"},\n {\"box_2d\": [39, 629, 134, 667], \"label\": \"potato\"},\n {\"box_2d\": [2, 589, 111, 632], \"label\": \"potato\"},\n {\"box_2d\": [1, 536, 116, 588], \"label\": \"potato\"},\n {\"box_2d\": [123, 587, 217, 629], \"label\": \"potato\"},\n {\"box_2d\": [109, 540, 223, 589], \"label\": \"potato\"},\n {\"box_2d\": [34, 502, 123, 536], \"label\": \"potato\"},\n {\"box_2d\": [123, 498, 216, 538], \"label\": \"potato\"},\n {\"box_2d\": [210, 547, 289, 576], \"label\": \"potato\"},\n {\"box_2d\": [291, 543, 370, 576], \"label\": \"potato\"},\n {\"box_2d\": [254, 501, 344, 537], \"label\": \"potato\"},\n {\"box_2d\": [389, 539, 490, 575], \"label\": \"potato\"},\n {\"box_2d\": [398, 587, 499, 621], \"label\": \"potato\"},\n {\"box_2d\": [498, 530, 610, 574], \"label\": \"potato\"},\n {\"box_2d\": [365, 493, 466, 532], \"label\": \"potato\"},\n {\"box_2d\": [468, 498, 551, 530], \"label\": \"potato\"},\n {\"box_2d\": [556, 495, 640, 526], \"label\": \"potato\"},\n {\"box_2d\": [686, 537, 796, 581], \"label\": \"potato\"},\n {\"box_2d\": [845, 483, 949, 529], \"label\": \"potato\"},\n {\"box_2d\": [928, 449, 999, 483], \"label\": \"potato\"},\n {\"box_2d\": [826, 444, 922, 483], \"label\": \"potato\"},\n {\"box_2d\": [684, 445, 790, 486], \"label\": \"potato\"},\n {\"box_2d\": [579, 449, 686, 492], \"label\": \"potato\"},\n {\"box_2d\": [664, 404, 780, 446], \"label\": \"potato\"},\n {\"box_2d\": [779, 408, 845, 434], \"label\": \"potato\"},\n {\"box_2d\": [842, 407, 922, 437], \"label\": \"potato\"},\n {\"box_2d\": [504, 450, 580, 485], \"label\": \"potato\"},\n {\"box_2d\": [408, 446, 506, 488], \"label\": \"potato\"},\n {\"box_2d\": [266, 448, 365, 488], \"label\": \"potato\"},\n {\"box_2d\": [109, 454, 198, 488], \"label\": \"potato\"},\n {\"box_2d\": [68, 464, 114, 486], \"label\": \"potato\"},\n {\"box_2d\": [149, 405, 259, 443], \"label\": \"potato\"},\n {\"box_2d\": [275, 418, 314, 438], \"label\": \"potato\"},\n {\"box_2d\": [314, 407, 406, 442], \"label\": \"potato\"},\n {\"box_2d\": [438, 406, 549, 450], \"label\": \"potato\"},\n {\"box_2d\": [26, 406, 151, 455], \"label\": \"potato\"},\n {\"box_2d\": [28, 376, 85, 398], \"label\": \"potato\"},\n {\"box_2d\": [82, 366, 169, 404], \"label\": \"potato\"},\n {\"box_2d\": [171, 354, 291, 404], \"label\": \"potato\"},\n {\"box_2d\": [314, 356, 417, 403], \"label\": \"potato\"},\n {\"box_2d\": [416, 350, 526, 401], \"label\": \"potato\"},\n {\"box_2d\": [525, 364, 610, 400], \"label\": \"potato\"},\n {\"box_2d\": [6, 321, 90, 357], \"label\": \"potato\"},\n {\"box_2d\": [89, 323, 166, 354], \"label\": \"potato\"},\n {\"box_2d\": [166, 324, 239, 354], \"label\": \"potato\"},\n {\"box_2d\": [151, 281, 240, 315], \"label\": \"potato\"},\n {\"box_2d\": [239, 325, 333, 358], \"label\": \"potato\"},\n {\"box_2d\": [332, 308, 451, 356], \"label\": \"potato\"},\n {\"box_2d\": [298, 276, 376, 307], \"label\": \"potato\"},\n {\"box_2d\": [377, 273, 468, 314], \"label\": \"potato\"},\n {\"box_2d\": [501, 313, 594, 358], \"label\": \"potato\"},\n {\"box_2d\": [495, 272, 581, 309], \"label\": \"potato\"},\n {\"box_2d\": [581, 279, 639, 307], \"label\": \"potato\"},\n {\"box_2d\": [637, 272, 722, 308], \"label\": \"potato\"},\n {\"box_2d\": [603, 314, 719, 362], \"label\": \"potato\"},\n {\"box_2d\": [715, 313, 796, 349], \"label\": \"potato\"},\n {\"box_2d\": [729, 363, 839, 397], \"label\": \"potato\"},\n {\"box_2d\": [832, 366, 899, 389], \"label\": \"potato\"},\n {\"box_2d\": [790, 318, 899, 361], \"label\": \"potato\"},\n {\"box_2d\": [909, 318, 985, 351], \"label\": \"potato\"},\n {\"box_2d\": [850, 271, 965, 315], \"label\": \"potato\"},\n {\"box_2d\": [902, 222, 995, 266], \"label\": \"potato\"},\n {\"box_2d\": [729, 188, 839, 232], \"label\": \"potato\"},\n {\"box_2d\": [640, 181, 728, 222], \"label\": \"potato\"},\n {\"box_2d\": [568, 187, 637, 220], \"label\": \"potato\"},\n {\"box_2d\": [506, 193, 571, 222], \"label\": \"potato\"},\n {\"box_2d\": [437, 193, 502, 221], \"label\": \"potato\"},\n {\"box_2d\": [571, 226, 650, 266], \"label\": \"potato\"},\n {\"box_2d\": [416, 229, 514, 269], \"label\": \"potato\"},\n {\"box_2d\": [264, 239, 351, 264], \"label\": \"potato\"},\n {\"box_2d\": [216, 193, 294, 222], \"label\": \"potato\"},\n {\"box_2d\": [29, 248, 85, 267], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 2748, "elapsed_seconds": 307.52135249995627, "metadata": {"match_method": "map", "num_predictions": 81, "num_ground_truth": 82, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9801980257034302, "attempts": 1, "retries": 0, "total_seconds": 308.2289}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 81, "image": "GP010253_JPG_jpg.rf.617173565602dbb2684e6af5ddab9032.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [727, 695, 888, 864], \"label\": \"carrot\"},\n {\"box_2d\": [562, 686, 811, 756], \"label\": \"carrot\"},\n {\"box_2d\": [636, 625, 839, 717], \"label\": \"carrot\"},\n {\"box_2d\": [559, 612, 811, 653], \"label\": \"carrot\"},\n {\"box_2d\": [456, 542, 738, 623], \"label\": \"carrot\"},\n {\"box_2d\": [572, 522, 791, 570], \"label\": \"carrot\"},\n {\"box_2d\": [489, 434, 658, 520], \"label\": \"carrot\"},\n {\"box_2d\": [525, 444, 766, 495], \"label\": \"carrot\"},\n {\"box_2d\": [484, 348, 558, 559], \"label\": \"carrot\"},\n {\"box_2d\": [452, 305, 636, 369], \"label\": \"carrot\"},\n {\"box_2d\": [278, 381, 469, 573], \"label\": \"carrot\"},\n {\"box_2d\": [178, 355, 358, 492], \"label\": \"carrot\"},\n {\"box_2d\": [191, 395, 327, 514], \"label\": \"carrot\"},\n {\"box_2d\": [188, 412, 302, 711], \"label\": \"carrot\"},\n {\"box_2d\": [158, 400, 267, 694], \"label\": \"carrot\"},\n {\"box_2d\": [144, 561, 203, 855], \"label\": \"carrot\"},\n {\"box_2d\": [52, 538, 178, 869], \"label\": \"carrot\"},\n {\"box_2d\": [197, 731, 291, 861], \"label\": \"carrot\"},\n {\"box_2d\": [288, 505, 403, 770], \"label\": \"carrot\"},\n {\"box_2d\": [306, 483, 462, 783], \"label\": \"carrot\"},\n {\"box_2d\": [314, 608, 434, 798], \"label\": \"carrot\"},\n {\"box_2d\": [423, 728, 642, 797], \"label\": \"carrot\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 759, "elapsed_seconds": 8.368285292061046, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 8.3945}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 82, "image": "1704195139272_jpg.rf.6a6621507dbbf3a3fbb417d17569c709.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [84, 661, 125, 709], \"label\": \"lentil grain\"},\n {\"box_2d\": [216, 344, 256, 384], \"label\": \"lentil grain\"},\n {\"box_2d\": [220, 567, 262, 616], \"label\": \"lentil grain\"},\n {\"box_2d\": [392, 378, 434, 420], \"label\": \"lentil grain\"},\n {\"box_2d\": [411, 561, 448, 608], \"label\": \"lentil grain\"},\n {\"box_2d\": [409, 616, 445, 662], \"label\": \"lentil grain\"},\n {\"box_2d\": [544, 420, 580, 462], \"label\": \"lentil grain\"},\n {\"box_2d\": [739, 388, 777, 428], \"label\": \"lentil grain\"},\n {\"box_2d\": [672, 609, 712, 656], \"label\": \"lentil grain\"},\n {\"box_2d\": [742, 728, 786, 780], \"label\": \"lentil grain\"},\n {\"box_2d\": [902, 400, 942, 447], \"label\": \"lentil grain\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 407, "elapsed_seconds": 12.056520667043515, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 12.0723}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 83, "image": "preannot1_326_png.rf.9e036dcc9355b37dec6ff1b3aff71d0b.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [598, 549, 616, 572], \"label\": \"tire spike normal\"},\n {\"box_2d\": [425, 434, 444, 458], \"label\": \"tire spike normal\"},\n {\"box_2d\": [332, 357, 348, 378], \"label\": \"tire spike normal\"},\n {\"box_2d\": [273, 316, 287, 336], \"label\": \"tire spike normal\"},\n {\"box_2d\": [230, 362, 245, 383], \"label\": \"tire spike normal\"},\n {\"box_2d\": [211, 436, 227, 457], \"label\": \"tire spike normal\"},\n {\"box_2d\": [168, 542, 182, 560], \"label\": \"tire spike normal\"},\n {\"box_2d\": [141, 326, 155, 344], \"label\": \"tire spike normal\"},\n {\"box_2d\": [105, 355, 119, 372], \"label\": \"tire spike normal\"},\n {\"box_2d\": [184, 617, 198, 636], \"label\": \"tire spike normal\"},\n {\"box_2d\": [226, 665, 241, 684], \"label\": \"tire spike normal\"},\n {\"box_2d\": [279, 620, 294, 639], \"label\": \"tire spike normal\"},\n {\"box_2d\": [324, 660, 340, 681], \"label\": \"tire spike normal\"},\n {\"box_2d\": [387, 632, 405, 658], \"label\": \"tire spike normal\"},\n {\"box_2d\": [440, 328, 456, 350], \"label\": \"tire spike normal\"},\n {\"box_2d\": [492, 326, 509, 348], \"label\": \"tire spike normal\"},\n {\"box_2d\": [556, 365, 574, 389], \"label\": \"tire spike normal\"},\n {\"box_2d\": [609, 328, 626, 350], \"label\": \"tire spike normal\"},\n {\"box_2d\": [611, 641, 629, 664], \"label\": \"tire spike normal\"},\n {\"box_2d\": [663, 677, 681, 699], \"label\": \"tire spike normal\"},\n {\"box_2d\": [725, 646, 742, 669], \"label\": \"tire spike normal\"},\n {\"box_2d\": [709, 427, 728, 450], \"label\": \"tire spike normal\"},\n {\"box_2d\": [738, 367, 755, 389], \"label\": \"tire spike normal\"},\n {\"box_2d\": [776, 319, 791, 338], \"label\": \"tire spike normal\"},\n {\"box_2d\": [776, 674, 793, 696], \"label\": \"tire spike normal\"},\n {\"box_2d\": [832, 628, 847, 648], \"label\": \"tire spike normal\"},\n {\"box_2d\": [860, 449, 875, 469], \"label\": \"tire spike normal\"},\n {\"box_2d\": [874, 382, 888, 399], \"label\": \"tire spike normal\"},\n {\"box_2d\": [506, 622, 521, 643], \"label\": \"tire spike normal\"},\n {\"box_2d\": [66, 620, 77, 636], \"label\": \"tire spike normal\"},\n {\"box_2d\": [894, 670, 907, 687], \"label\": \"tire spike normal\"},\n {\"box_2d\": [898, 346, 909, 362], \"label\": \"tire spike normal\"}\n]\n```", "correct": false, "input_tokens": 1202, "output_tokens": 1162, "elapsed_seconds": 26.037803290993907, "metadata": {"match_method": "map", "num_predictions": 32, "num_ground_truth": 42, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7623762488365173, "attempts": 1, "retries": 0, "total_seconds": 26.1619}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 84, "image": "fall-detection_cameraOne-blue-before_mp4-10_jpg.rf.e26a811f1502cc342db7badfe48642d4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [581, 535, 726, 730], \"label\": \"fallen person\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 47, "elapsed_seconds": 13.949963749968447, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 13.9665}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 85, "image": "IMG_3898_JPG.rf.7efec82c7f803d0db60f9543524df2d2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [751, 446, 902, 631], \"label\": \"5 poker chip\"},\n {\"box_2d\": [680, 599, 820, 777], \"label\": \"10 poker chip\"},\n {\"box_2d\": [639, 361, 773, 533], \"label\": \"10 poker chip\"},\n {\"box_2d\": [588, 703, 713, 875], \"label\": \"10000 poker chip\"},\n {\"box_2d\": [595, 211, 720, 381], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [551, 474, 672, 638], \"label\": \"50 poker chip\"},\n {\"box_2d\": [466, 392, 574, 545], \"label\": \"50 poker chip\"},\n {\"box_2d\": [486, 238, 595, 394], \"label\": \"20 poker chip\"},\n {\"box_2d\": [413, 146, 515, 295], \"label\": \"50 poker chip\"},\n {\"box_2d\": [329, 81, 421, 224], \"label\": \"100 poker chip\"},\n {\"box_2d\": [306, 221, 396, 359], \"label\": \"500 poker chip\"},\n {\"box_2d\": [363, 314, 460, 458], \"label\": \"10 poker chip\"},\n {\"box_2d\": [380, 455, 479, 600], \"label\": \"5 poker chip\"},\n {\"box_2d\": [395, 603, 495, 753], \"label\": \"500 poker chip\"},\n {\"box_2d\": [302, 611, 395, 754], \"label\": \"100 poker chip\"},\n {\"box_2d\": [354, 734, 452, 882], \"label\": \"100 poker chip\"},\n {\"box_2d\": [492, 606, 604, 767], \"label\": \"1000 poker chip\"}\n]\n```", "correct": true, "input_tokens": 1252, "output_tokens": 650, "elapsed_seconds": 43.878038833034225, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 18, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9579207897186279, "attempts": 1, "retries": 0, "total_seconds": 44.7379}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 86, "image": "2024-12-05T02-00-59-875Z-1008_jpg.rf.e6de2a9a15084a14389fc0bcc250e3a1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [291, 459, 378, 520], \"label\": \"screw\"},\n {\"box_2d\": [742, 792, 807, 836], \"label\": \"screw\"},\n {\"box_2d\": [637, 932, 697, 976], \"label\": \"screw\"},\n {\"box_2d\": [641, 827, 798, 941], \"label\": \"wire hole\"}\n]\n```", "correct": true, "input_tokens": 1203, "output_tokens": 149, "elapsed_seconds": 107.08728045900352, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 6, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8019801378250122, "attempts": 1, "retries": 0, "total_seconds": 107.308}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 87, "image": "IMG_20220316_165535_jpg.rf.b4968ac9965090df369ee94c30225977.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [39, 540, 381, 796], \"label\": \"jack of diamonds\"},\n {\"box_2d\": [419, 472, 820, 726], \"label\": \"queen of diamonds\"},\n {\"box_2d\": [108, 309, 474, 591], \"label\": \"nine of diamonds\"},\n {\"box_2d\": [381, 175, 709, 478], \"label\": \"king of diamonds\"},\n {\"box_2d\": [631, 108, 972, 427], \"label\": \"ten of diamonds\"}\n]\n```", "correct": true, "input_tokens": 1218, "output_tokens": 191, "elapsed_seconds": 12.73434374993667, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 12.7725}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 88, "image": "F64FE944-4E23-4E33-ABE4-44B45EEE879E_jpg.rf.4a9fc6077618a5882fd446c7da6c295e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [736, 94, 797, 198], \"label\": \"pill\"},\n {\"box_2d\": [682, 162, 780, 245], \"label\": \"pill\"},\n {\"box_2d\": [680, 217, 745, 321], \"label\": \"pill\"},\n {\"box_2d\": [590, 180, 672, 276], \"label\": \"pill\"},\n {\"box_2d\": [513, 127, 590, 229], \"label\": \"pill\"},\n {\"box_2d\": [434, 129, 521, 222], \"label\": \"pill\"},\n {\"box_2d\": [379, 187, 484, 251], \"label\": \"pill\"},\n {\"box_2d\": [287, 154, 394, 210], \"label\": \"pill\"},\n {\"box_2d\": [276, 208, 383, 270], \"label\": \"pill\"},\n {\"box_2d\": [176, 163, 281, 238], \"label\": \"pill\"},\n {\"box_2d\": [187, 237, 291, 315], \"label\": \"pill\"},\n {\"box_2d\": [137, 298, 249, 352], \"label\": \"pill\"},\n {\"box_2d\": [244, 326, 323, 429], \"label\": \"pill\"},\n {\"box_2d\": [288, 289, 380, 383], \"label\": \"pill\"},\n {\"box_2d\": [349, 240, 446, 323], \"label\": \"pill\"},\n {\"box_2d\": [387, 275, 480, 363], \"label\": \"pill\"},\n {\"box_2d\": [477, 256, 582, 315], \"label\": \"pill\"},\n {\"box_2d\": [477, 311, 582, 370], \"label\": \"pill\"},\n {\"box_2d\": [592, 290, 643, 396], \"label\": \"pill\"},\n {\"box_2d\": [639, 272, 675, 378], \"label\": \"pill\"},\n {\"box_2d\": [725, 298, 789, 403], \"label\": \"pill\"},\n {\"box_2d\": [664, 358, 749, 454], \"label\": \"pill\"},\n {\"box_2d\": [783, 412, 838, 518], \"label\": \"pill\"},\n {\"box_2d\": [724, 467, 808, 563], \"label\": \"pill\"},\n {\"box_2d\": [630, 424, 718, 518], \"label\": \"pill\"},\n {\"box_2d\": [598, 459, 675, 558], \"label\": \"pill\"},\n {\"box_2d\": [550, 390, 611, 495], \"label\": \"pill\"},\n {\"box_2d\": [456, 376, 551, 460], \"label\": \"pill\"},\n {\"box_2d\": [359, 370, 458, 451], \"label\": \"pill\"},\n {\"box_2d\": [285, 416, 390, 490], \"label\": \"pill\"},\n {\"box_2d\": [184, 390, 285, 474], \"label\": \"pill\"},\n {\"box_2d\": [168, 524, 278, 598], \"label\": \"pill\"},\n {\"box_2d\": [259, 487, 369, 547], \"label\": \"pill\"},\n {\"box_2d\": [355, 560, 463, 621], \"label\": \"pill\"},\n {\"box_2d\": [445, 504, 516, 607], \"label\": \"pill\"},\n {\"box_2d\": [488, 467, 554, 570], \"label\": \"pill\"},\n {\"box_2d\": [532, 522, 616, 618], \"label\": \"pill\"},\n {\"box_2d\": [624, 536, 720, 620], \"label\": \"pill\"},\n {\"box_2d\": [718, 543, 809, 634], \"label\": \"pill\"},\n {\"box_2d\": [696, 631, 793, 722], \"label\": \"pill\"},\n {\"box_2d\": [575, 591, 669, 682], \"label\": \"pill\"},\n {\"box_2d\": [507, 634, 614, 697], \"label\": \"pill\"},\n {\"box_2d\": [363, 620, 471, 680], \"label\": \"pill\"},\n {\"box_2d\": [431, 667, 517, 766], \"label\": \"pill\"},\n {\"box_2d\": [300, 691, 387, 794], \"label\": \"pill\"},\n {\"box_2d\": [556, 696, 613, 805], \"label\": \"pill\"},\n {\"box_2d\": [370, 841, 479, 899], \"label\": \"pill\"},\n {\"box_2d\": [680, 754, 734, 866], \"label\": \"pill\"},\n {\"box_2d\": [692, 693, 783, 789], \"label\": \"pill\"},\n {\"box_2d\": [797, 738, 893, 830], \"label\": \"pill\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 1711, "elapsed_seconds": 46.09508987504523, "metadata": {"match_method": "map", "num_predictions": 50, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 46.7057}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 89, "image": "20210326_152417_jpg.rf.49d888684dcb029777f91a35c5731fda.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [517, 678, 675, 838], \"label\": \"1 euro cent coin\"},\n {\"box_2d\": [723, 577, 905, 761], \"label\": \"2 euro cent coin\"},\n {\"box_2d\": [653, 236, 902, 489], \"label\": \"2 euro coin\"},\n {\"box_2d\": [420, 80, 628, 291], \"label\": \"5 euro cent coin\"},\n {\"box_2d\": [200, 127, 395, 323], \"label\": \"10 euro cent coin\"},\n {\"box_2d\": [103, 369, 325, 591], \"label\": \"20 euro cent coin\"},\n {\"box_2d\": [203, 645, 445, 888], \"label\": \"50 euro cent coin\"},\n {\"box_2d\": [380, 397, 608, 628], \"label\": \"1 euro coin\"}\n]\n```", "correct": true, "input_tokens": 1272, "output_tokens": 308, "elapsed_seconds": 17.564331665984355, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 17.5906}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 90, "image": "egg-detection_image33_jpg.rf.842de73d6f921d804acd1ea8a1f28413.jpg", "expected": "", "predicted": "```json\n[{\"box_2d\": [746, 694, 822, 753], \"label\": \"egg\"}, {\"box_2d\": [468, 428, 550, 491], \"label\": \"egg\"}]```", "correct": true, "input_tokens": 1236, "output_tokens": 72, "elapsed_seconds": 58.912857790943235, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 59.0537}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 91, "image": "uav20221018_ixfZ_3857_215_png.rf.8020e1329eefd7e68bf3f7c0394e8bdf.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [773, 779, 804, 807], \"label\": \"banana tree\"},\n {\"box_2d\": [838, 777, 868, 809], \"label\": \"banana tree\"},\n {\"box_2d\": [914, 787, 946, 818], \"label\": \"banana tree\"},\n {\"box_2d\": [934, 731, 976, 764], \"label\": \"banana tree\"},\n {\"box_2d\": [870, 725, 920, 767], \"label\": \"banana tree\"},\n {\"box_2d\": [797, 721, 839, 766], \"label\": \"banana tree\"},\n {\"box_2d\": [731, 722, 766, 755], \"label\": \"banana tree\"},\n {\"box_2d\": [659, 722, 695, 754], \"label\": \"banana tree\"},\n {\"box_2d\": [702, 778, 733, 811], \"label\": \"banana tree\"},\n {\"box_2d\": [623, 769, 659, 805], \"label\": \"banana tree\"},\n {\"box_2d\": [556, 773, 591, 808], \"label\": \"banana tree\"},\n {\"box_2d\": [517, 721, 558, 750], \"label\": \"banana tree\"},\n {\"box_2d\": [485, 769, 517, 799], \"label\": \"banana tree\"},\n {\"box_2d\": [406, 758, 449, 801], \"label\": \"banana tree\"},\n {\"box_2d\": [336, 762, 376, 797], \"label\": \"banana tree\"},\n {\"box_2d\": [368, 703, 412, 739], \"label\": \"banana tree\"},\n {\"box_2d\": [300, 694, 349, 745], \"label\": \"banana tree\"},\n {\"box_2d\": [266, 754, 311, 791], \"label\": \"banana tree\"},\n {\"box_2d\": [235, 690, 282, 734], \"label\": \"banana tree\"},\n {\"box_2d\": [194, 754, 240, 790], \"label\": \"banana tree\"},\n {\"box_2d\": [155, 694, 212, 742], \"label\": \"banana tree\"},\n {\"box_2d\": [117, 748, 173, 787], \"label\": \"banana tree\"},\n {\"box_2d\": [86, 686, 134, 728], \"label\": \"banana tree\"},\n {\"box_2d\": [46, 744, 99, 792], \"label\": \"banana tree\"},\n {\"box_2d\": [7, 686, 69, 732], \"label\": \"banana tree\"},\n {\"box_2d\": [48, 945, 99, 997], \"label\": \"banana tree\"},\n {\"box_2d\": [113, 950, 165, 997], \"label\": \"banana tree\"},\n {\"box_2d\": [181, 950, 232, 994], \"label\": \"banana tree\"},\n {\"box_2d\": [254, 951, 293, 992], \"label\": \"banana tree\"},\n {\"box_2d\": [319, 954, 369, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [454, 962, 503, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [595, 957, 643, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [666, 971, 703, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [736, 971, 779, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [804, 982, 834, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [876, 981, 912, 1000], \"label\": \"banana tree\"}\n]\n```", "correct": false, "input_tokens": 1226, "output_tokens": 1271, "elapsed_seconds": 21.65101087500807, "metadata": {"match_method": "map", "num_predictions": 36, "num_ground_truth": 41, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7221527099609375, "attempts": 1, "retries": 0, "total_seconds": 21.7544}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 92, "image": "DJI_0151_JPG_jpg.rf.3936c799be65e9829061aeb413261c06.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 629, 495, 706], \"label\": \"tower crane\"},\n {\"box_2d\": [482, 344, 681, 405], \"label\": \"excavator\"},\n {\"box_2d\": [162, 336, 211, 391], \"label\": \"dump truck\"},\n {\"box_2d\": [158, 437, 211, 487], \"label\": \"concrete mixer\"},\n {\"box_2d\": [126, 61, 173, 129], \"label\": \"concrete mixer\"}\n]\n```", "correct": true, "input_tokens": 1245, "output_tokens": 185, "elapsed_seconds": 180.18471695797052, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 180.7368}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 93, "image": "55_jpeg_jpg.rf.004155dfb8cf69dfe8eec1fad7b643e0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [715, 0, 796, 98], \"label\": \"potato\"},\n {\"box_2d\": [66, 322, 181, 434], \"label\": \"potato\"},\n {\"box_2d\": [63, 912, 173, 1000], \"label\": \"potato\"},\n {\"box_2d\": [247, 804, 385, 910], \"label\": \"potato\"},\n {\"box_2d\": [480, 808, 572, 909], \"label\": \"potato\"},\n {\"box_2d\": [454, 960, 549, 1000], \"label\": \"potato\"},\n {\"box_2d\": [478, 646, 581, 748], \"label\": \"potato\"},\n {\"box_2d\": [478, 520, 619, 636], \"label\": \"potato\"},\n {\"box_2d\": [680, 840, 779, 920], \"label\": \"potato\"},\n {\"box_2d\": [637, 981, 748, 1000], \"label\": \"potato\"},\n {\"box_2d\": [708, 584, 798, 680], \"label\": \"potato\"},\n {\"box_2d\": [885, 617, 984, 718], \"label\": \"potato\"},\n {\"box_2d\": [694, 350, 848, 433], \"label\": \"potato\"},\n {\"box_2d\": [900, 368, 989, 457], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1240, "output_tokens": 486, "elapsed_seconds": 24.599835792090744, "metadata": {"match_method": "map", "num_predictions": 14, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8712871074676514, "attempts": 1, "retries": 0, "total_seconds": 24.641}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 94, "image": "2024-12-05T02-01-39-892Z-3009_jpg.rf.22fd37099b783ab1f80e4172f8bb073a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [553, 310, 675, 412], \"label\": \"retaining clip\"},\n {\"box_2d\": [461, 493, 594, 583], \"label\": \"retaining clip\"},\n {\"box_2d\": [366, 667, 484, 766], \"label\": \"retaining clip\"},\n {\"box_2d\": [647, 634, 779, 738], \"label\": \"retaining clip\"}\n]\n```", "correct": true, "input_tokens": 1201, "output_tokens": 156, "elapsed_seconds": 26.40118775004521, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 26.6909}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 95, "image": "IMG_20251126_160341_jpg.rf.90a2111f9611ba9b2da6fb1312d0ef72.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 336, 200, 427], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [654, 922, 749, 995], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [652, 830, 754, 902], \"label\": \"white standard price tag\"},\n {\"box_2d\": [661, 699, 761, 771], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [659, 587, 765, 658], \"label\": \"white standard price tag\"},\n {\"box_2d\": [652, 492, 929, 563], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [674, 386, 776, 456], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [681, 297, 783, 368], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [687, 206, 792, 277], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [692, 108, 794, 179], \"label\": \"yellow standard price tag\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 380, "elapsed_seconds": 98.13352862501051, "metadata": {"match_method": "map", "num_predictions": 10, "num_ground_truth": 10, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 98.504}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 96, "image": "tile_267_jpg.rf.d3e282883cf21b5fa393f473090fd4b9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [298, 510, 540, 698], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [36, 305, 281, 498], \"label\": \"ship in SAR satellite image\"}\n]\n```", "correct": false, "input_tokens": 1229, "output_tokens": 87, "elapsed_seconds": 7.50546891707927, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5049505233764648, "attempts": 1, "retries": 0, "total_seconds": 7.54}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 97, "image": "IMG_20250815_165441_jpg.rf.4c737e973da64b017b0e386f2b455f62.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [771, 705, 853, 745], \"label\": \"barcode\"},\n {\"box_2d\": [741, 551, 825, 594], \"label\": \"barcode\"},\n {\"box_2d\": [194, 629, 234, 671], \"label\": \"barcode\"},\n {\"box_2d\": [219, 443, 314, 490], \"label\": \"barcode\"},\n {\"box_2d\": [826, 256, 864, 303], \"label\": \"barcode\"},\n {\"box_2d\": [213, 180, 310, 232], \"label\": \"barcode\"},\n {\"box_2d\": [680, 65, 720, 117], \"label\": \"barcode\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 249, "elapsed_seconds": 84.870969666983, "metadata": {"match_method": "map", "num_predictions": 7, "num_ground_truth": 7, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 85.281}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 98, "image": "Lego_63_low_jpeg.rf.6dd24c9abacc96bac5fb5a7d9ce3f907.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [774, 421,, 860, 533], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [672, 413, 767, 512], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [827, 267, 907, 366], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [765, 86, 853, 180], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [622, 44, 725, 143], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [581, 254, 663, 331], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [584, 323, 670, 412], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [498, 372, 594, 431], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [395, 317, 466, 429], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [279, 316, 339, 406], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [214, 352, 281, 453], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [100, 428, 206, 531], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [48, 198, 136, 294], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [183, 104, 268, 189], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [202, 13, 307, 106], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [59, 671, 151, 776], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [28, 753, 131, 823], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [173, 711, 249, 761], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [167, 672, 265, 712], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [222, 796, 308, 876], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [203, 864, 299, 938], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [294, 581, 396, 651], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [471, 538, 571, 610], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [447, 725, 519, 777], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [412, 790, 492, 855], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [459, 835, 534, 916], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [605, 580, 707, 661], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [712, 588, 749, 684], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [670, 673, 749, 734], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [712, 731, 797, 807], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [678, 778, 728, 873], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [744, 789, 845, 886], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [605, 906, 697, 1000], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [673, 963, 747, 1000], \"label\": \"lego 4x1 brick\"}\n]\n```", "correct": false, "input_tokens": 1244, "output_tokens": 1335, "elapsed_seconds": 23.855227416963317, "metadata": {"match_method": "map", "num_predictions": 0, "num_ground_truth": 34, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 23.9493}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 99, "image": "frame_0085_jpg.rf.df2f77641da4fa475877d40e14103949.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [779, 576, 850, 617], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [637, 474, 719, 521], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [703, 347, 796, 389], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [676, 228, 761, 271], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [592, 84, 672, 136], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [803, 77, 886, 129], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [888, 211, 963, 256], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [848, 340, 932, 386], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [866, 472, 919, 514], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [465, 106, 534, 155], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [377, 107, 449, 159], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [262, 129, 326, 174], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [140, 113, 206, 152], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [44, 139, 106, 180], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 189, 29, 219], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [25, 247, 73, 289], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [134, 229, 197, 268], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [273, 229, 340, 270], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [418, 234, 487, 281], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [530, 340, 597, 387], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [437, 355, 501, 392], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [424, 469, 484, 504], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [341, 552, 402, 586], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [368, 676, 432, 709], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [183, 610, 234, 641], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [232, 428, 309, 471], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [316, 353, 389, 397], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [161, 345, 220, 381], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [49, 341, 108, 374], \"label\": \"garlic on conveyor\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 1047, "elapsed_seconds": 33.01366250007413, "metadata": {"match_method": "map", "num_predictions": 29, "num_ground_truth": 28, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9829292893409729, "attempts": 1, "retries": 0, "total_seconds": 33.1481}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 100, "image": "basketball-player-detection_boston-celtics-new-york-knicks-game-4-q1-00-05-00-01-0115_png.rf.268163bdbdd382dbeaa9df9d19cf50ae.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [773, 180, 799, 195], \"label\": \"jersey number\"},\n {\"box_2d\": [704, 168, 963, 236], \"label\": \"player\"},\n {\"box_2d\": [540, 360, 761, 405], \"label\": \"player\"},\n {\"box_2d\": [283, 338, 455, 378], \"label\": \"referee\"},\n {\"box_2d\": [324, 108, 468, 163], \"label\": \"player\"},\n {\"box_2d\": [306, 151, 517, 194], \"label\": \"player\"},\n {\"box_2d\": [356, 165, 371, 177], \"label\": \"jersey number\"},\n {\"box_2d\": [319, 523, 492, 567], \"label\": \"player\"},\n {\"box_2d\": [387, 563, 404, 578], \"label\": \"jersey number\"},\n {\"box_2d\": [346, 545, 535, 610], \"label\": \"player\"},\n {\"box_2d\": [506, 745, 526, 758], \"label\": \"jersey number\"},\n {\"box_2d\": [295, 711, 326, 753], \"label\": \"basket rim\"},\n {\"box_2d\": [459, 711, 635, 750], \"label\": \"player\"},\n {\"box_2d\": [453, 735, 678, 777], \"label\": \"player\"},\n {\"box_2d\": [565, 748, 792, 807], \"label\": \"player\"},\n {\"box_2d\": [669, 850, 692, 860], \"label\": \"jersey number\"},\n {\"box_2d\": [610, 811, 845, 872], \"label\": \"player\"},\n {\"box_2d\": [723, 297, 880, 327], \"label\": \"referee\"}\n]\n```", "correct": false, "input_tokens": 1250, "output_tokens": 632, "elapsed_seconds": 86.23512129101437, "metadata": {"match_method": "map", "num_predictions": 18, "num_ground_truth": 25, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3696369528770447, "attempts": 1, "retries": 0, "total_seconds": 86.365}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 101, "image": "construction-safety_ppe_0720_jpg.rf.cfd070890ac09790250bebd1b430d69f.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [238, 12, 297, 58], \"label\": \"safety helmet\"},\n {\"box_2d\": [291, 93, 353, 141], \"label\": \"safety helmet\"},\n {\"box_2d\": [209, 184, 270, 229], \"label\": \"safety helmet\"},\n {\"box_2d\": [267, 259, 337, 304], \"label\": \"safety helmet\"},\n {\"box_2d\": [189, 329, 250, 374], \"label\": \"safety helmet\"},\n {\"box_2d\": [211, 420, 272, 466], \"label\": \"safety helmet\"},\n {\"box_2d\": [211, 492, 270, 538], \"label\": \"safety helmet\"},\n {\"box_2d\": [243, 577, 303, 624], \"label\": \"safety helmet\"},\n {\"box_2d\": [196, 678, 261, 727], \"label\": \"safety helmet\"},\n {\"box_2d\": [117, 745, 200, 804], \"label\": \"safety helmet\"},\n {\"box_2d\": [151, 809, 220, 853], \"label\": \"safety helmet\"},\n {\"box_2d\": [180, 836, 261, 896], \"label\": \"safety helmet\"},\n {\"box_2d\": [139, 900, 229, 978], \"label\": \"safety helmet\"},\n {\"box_2d\": [360, 0, 622, 77], \"label\": \"safety vest\"},\n {\"box_2d\": [400, 79, 654, 165], \"label\": \"safety vest\"},\n {\"box_2d\": [324, 171, 596, 251], \"label\": \"safety vest\"},\n {\"box_2d\": [378, 252, 616, 313], \"label\": \"safety vest\"},\n {\"box_2d\": [326, 309, 582, 405], \"label\": \"safety vest\"},\n {\"box_2d\": [321, 402, 593, 484], \"label\": \"safety vest\"},\n {\"box_2d\": [328, 484, 573, 563], \"label\": \"safety vest\"},\n {\"box_2d\": [362, 572, 596, 646], \"label\": \"safety vest\"},\n {\"box_2d\": [330, 665, 596, 745], \"label\": \"safety vest\"},\n {\"box_2d\": [254, 745, 548, 832], \"label\": \"safety vest\"},\n {\"box_2d\": [324, 829, 636, 900], \"label\": \"safety vest\"},\n {\"box_2d\": [308, 886, 667, 1000], \"label\": \"safety vest\"},\n {\"box_2d\": [238, 0, 998, 82], \"label\": \"person\"},\n {\"box_2d\": [290, 74, 987, 178], \"label\": \"person\"},\n {\"box_2d\": [209, 160, 982, 275], \"label\": \"person\"},\n {\"box_2d\": [267, 239, 978, 320], \"label\": \"person\"},\n {\"box_2d\": [189, 294, 998, 402], \"label\": \"person\"},\n {\"box_2d\": [211, 396, 980, 493], \"label\": \"person\"},\n {\"box_2d\": [209, 478, 966, 572], \"label\": \"person\"},\n {\"box_2d\": [243, 564, 987, 662], \"label\": \"person\"},\n {\"box_2d\": [196, 656, 998, 748], \"label\": \"person\"},\n {\"box_2d\": [117, 738, 998, 845], \"label\": \"person\"},\n {\"box_2d\": [151, 809, 297, 853], \"label\": \"person\"},\n {\"box_2d\": [180, 820, 998, 902], \"label\": \"person\"},\n {\"box_2d\": [139, 871, 998, 1000], \"label\": \"person\"}\n]\n```", "correct": true, "input_tokens": 1198, "output_tokens": 1320, "elapsed_seconds": 23.531098457984626, "metadata": {"match_method": "map", "num_predictions": 38, "num_ground_truth": 38, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 23.5649}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 102, "image": "fabric-defect_1213_jpg.rf.f4cb351d5d6f226d23075b9a6a549416.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [468, 725, 591, 780], \"label\": \"fabric cut\"}\n]\n```", "correct": false, "input_tokens": 1226, "output_tokens": 47, "elapsed_seconds": 13.113083750009537, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5049504637718201, "attempts": 1, "retries": 0, "total_seconds": 13.1268}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 103, "image": "indir-2-_jpeg_jpg.rf.cabde9f9d89b7527f52820f6df64e1b7.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [17, 25, 48, 309], \"label\": \"technical drawing table\"},\n {\"box_2d\": [17, 905, 47, 976], \"label\": \"technical drawing table\"},\n {\"box_2d\": [915, 209, 983, 975], \"label\": \"technical drawing table\"},\n {\"box_2d\": [364, 248, 381, 582], \"label\": \"dimension annotation\"},\n {\"box_2d\": [417, 89, 517, 203], \"label\": \"dimension annotation\"},\n {\"box_2d\": [434, 305, 513, 450], \"label\": \"dimension annotation\"},\n {\"box_2d\": [498, 70, 574, 182], \"label\": \"dimension annotation\"},\n {\"box_2d\": [423, 656, 574, 681], \"label\": \"dimension annotation\"},\n {\"box_2d\": [617, 182, 633, 289], \"label\": \"dimension annotation\"},\n {\"box_2d\": [617, 415, 633, 515], \"label\": \"dimension annotation\"},\n {\"box_2d\": [617, 516, 633, 582], \"label\": \"dimension annotation\"},\n {\"box_2d\": [619, 755, 640, 888], \"label\": \"dimension annotation\"},\n {\"box_2d\": [678, 56, 706, 80], \"label\": \"dimension annotation\"},\n {\"box_2d\": [706, 56, 843, 80], \"label\": \"dimension annotation\"},\n {\"box_2d\": [760, 249, 777, 343], \"label\": \"dimension annotation\"},\n {\"box_2d\": [815, 623, 844, 647], \"label\": \"dimension annotation\"},\n {\"box_2d\": [755, 665, 802, 748], \"label\": \"dimension annotation\"}\n]\n```", "correct": false, "input_tokens": 1233, "output_tokens": 599, "elapsed_seconds": 9.970369667047635, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.1772748827934265, "attempts": 1, "retries": 0, "total_seconds": 9.983}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 104, "image": "wood-log-detection_019_png_jpg.rf.0c10ed1caffd0ca9926a3f2f5de3a24a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [148, 56, 211, 144], \"label\": \"log cross-section\"},\n {\"box_2d\": [219, 102, 267, 162], \"label\": \"log cross-section\"},\n {\"box_2d\": [202, 162, 264, 253], \"label\": \"log cross-section\"},\n {\"box_2d\": [188, 236, 223, 275], \"label\": \"log cross-section\"},\n {\"box_2d\": [209, 286, 238, 323], \"label\": \"log cross-section\"},\n {\"box_2d\": [166, 286, 212, 344], \"label\": \"log cross-section\"},\n {\"box_2d\": [167, 405, 206, 456], \"label\": \"log cross-section\"},\n {\"box_2d\": [167, 498, 231, 578], \"label\": \"log cross-section\"},\n {\"box_2d\": [212, 328, 289, 422], \"label\": \"log cross-section\"},\n {\"box_2d\": [250, 281, 294, 330], \"label\": \"log cross-section\"},\n {\"box_2d\": [288, 200, 369, 306], \"label\": \"log cross-section\"},\n {\"box_2d\": [264, 53, 309, 117], \"label\": \"log cross-section\"},\n {\"box_2d\": [278, 134, 320, 183], \"label\": \"log cross-section\"},\n {\"box_2d\": [314, 67, 362, 134], \"label\": \"log cross-section\"},\n {\"box_2d\": [331, 133, 370, 180], \"label\": \"log cross-section\"},\n {\"box_2d\": [392, 92, 447, 166], \"label\": \"log cross-section\"},\n {\"box_2d\": [456, 89, 494, 141], \"label\": \"log cross-section\"},\n {\"box_2d\": [438, 152, 530, 273], \"label\": \"log cross-section\"},\n {\"box_2d\": [495, 70, 558, 153], \"label\": \"log cross-section\"},\n {\"box_2d\": [530, 161, 561, 203], \"label\": \"log cross-section\"},\n {\"box_2d\": [558, 77, 612, 150], \"label\": \"log cross-section\"},\n {\"box_2d\": [562, 170, 603, 217], \"label\": \"log cross-section\"},\n {\"box_2d\": [514, 212, 581, 303], \"label\": \"log cross-section\"},\n {\"box_2d\": [483, 267, 522, 314], \"label\": \"log cross-section\"},\n {\"box_2d\": [420, 270, 472, 333], \"label\": \"log cross-section\"},\n {\"box_2d\": [348, 241, 402, 316], \"label\": \"log cross-section\"},\n {\"box_2d\": [322, 322, 400, 431], \"label\": \"log cross-section\"},\n {\"box_2d\": [234, 419, 327, 553], \"label\": \"log cross-section\"},\n {\"box_2d\": [228, 541, 298, 634], \"label\": \"log cross-section\"},\n {\"box_2d\": [225, 672, 272, 731], \"label\": \"log cross-section\"},\n {\"box_2d\": [222, 736, 278, 800], \"label\": \"log cross-section\"},\n {\"box_2d\": [214, 808, 294, 894], \"label\": \"log cross-section\"},\n {\"box_2d\": [278, 752, 314, 795], \"label\": \"log cross-section\"},\n {\"box_2d\": [270, 658, 338, 739], \"label\": \"log cross-section\"},\n {\"box_2d\": [303, 538, 372, 622], \"label\": \"log cross-section\"},\n {\"box_2d\": [355, 427, 398, 492], \"label\": \"log cross-section\"},\n {\"box_2d\": [397, 427, 430, 480], \"label\": \"log cross-section\"},\n {\"box_2d\": [370, 498, 441, 586], \"label\": \"log cross-section\"},\n {\"box_2d\": [352, 603, 430, 703], \"label\": \"log cross-section\"},\n {\"box_2d\": [323, 703, 388, 788], \"label\": \"log cross-section\"},\n {\"box_2d\": [302, 777, 358, 845], \"label\": \"log cross-section\"},\n {\"box_2d\": [367, 805, 406, 855], \"label\": \"log cross-section\"},\n {\"box_2d\": [406, 897, 444, 945], \"label\": \"log cross-section\"},\n {\"box_2d\": [441, 791, 472, 833], \"label\": \"log cross-section\"},\n {\"box_2d\": [469, 834, 498, 875], \"label\": \"log cross-section\"},\n {\"box_2d\": [456, 720, 511, 792], \"label\": \"log cross-section\"},\n {\"box_2d\": [434, 622, 488, 691], \"label\": \"log cross-section\"},\n {\"box_2d\": [478, 678, 516, 723], \"label\": \"log cross-section\"},\n {\"box_2d\": [505, 864, 536, 897], \"label\": \"log cross-section\"},\n {\"box_2d\": [525, 828, 553, 861], \"label\": \"log cross-section\"},\n {\"box_2d\": [511, 772, 556, 819], \"label\": \"log cross-section\"},\n {\"box_2d\": [511, 717, 556, 775], \"label\": \"log cross-section\"},\n {\"box_2d\": [514, 639, 555, 686], \"label\": \"log cross-section\"},\n {\"box_2d\": [466, 548, 520, 622], \"label\": \"log cross-section\"},\n {\"box_2d\": [455, 450, 514, 538], \"label\": \"log cross-section\"},\n {\"box_2d\": [431, 412, 467, 467], \"label\": \"log cross-section\"},\n {\"box_2d\": [456, 355, 525, 444], \"label\": \"log cross-section\"},\n {\"box_2d\": [506, 308, 567, 384], \"label\": \"log cross-section\"},\n {\"box_2d\": [602, 169, 639, 223], \"label\": \"log cross-section\"},\n {\"box_2d\": [594, 223, 647, 286], \"label\": \"log cross-section\"},\n {\"box_2d\": [623, 67, 720, 195], \"label\": \"log cross-section\"},\n {\"box_2d\": [639, 202, 722, 323], \"label\": \"log cross-section\"},\n {\"box_2d\": [691, 300, 723, 338], \"label\": \"log cross-section\"},\n {\"box_2d\": [622, 322, 725, 452], \"label\": \"log cross-section\"},\n {\"box_2d\": [578, 391, 625, 477], \"label\": \"log cross-section\"},\n {\"box_2d\": [508, 483, 578, 578], \"label\": \"log cross-section\"},\n {\"box_2d\": [567, 572, 608, 612], \"label\": \"log cross-section\"},\n {\"box_2d\": [542, 609, 597, 678], \"label\": \"log cross-section\"},\n {\"box_2d\": [556, 691, 616, 773], \"label\": \"log cross-section\"},\n {\"box_2d\": [558, 788, 600, 845], \"label\": \"log cross-section\"},\n {\"box_2d\": [584, 844, 617, 884], \"label\": \"log cross-section\"},\n {\"box_2d\": [605, 817, 639, 855], \"label\": \"log cross-section\"},\n {\"box_2d\": [625, 830, 672, 889], \"label\": \"log cross-section\"},\n {\"box_2d\": [672, 844, 691, 875], \"label\": \"log cross-section\"},\n {\"box_2d\": [689, 834, 720, 881], \"label\": \"log cross-section\"},\n {\"box_2d\": [712, 792, 748, 831], \"label\": \"log cross-section\"},\n {\"box_2d\": [688, 722, 720, 759], \"label\": \"log cross-section\"},\n {\"box_2d\": [612, 731, 666, 797], \"label\": \"log cross-section\"},\n {\"box_2d\": [614, 672, 658, 730], \"label\": \"log cross-section\"},\n {\"box_2d\": [653, 686, 680, 733], \"label\": \"log cross-section\"},\n {\"box_2d\": [577, 489, 623, 573], \"label\": \"log cross-section\"},\n {\"box_2d\": [611, 578, 639, 623], \"label\": \"log cross-section\"},\n {\"box_2d\": [633, 583, 675, 642], \"label\": \"log cross-section\"},\n {\"box_2d\": [623, 519, 673, 583], \"label\": \"log cross-section\"},\n {\"box_2d\": [636, 469, 670, 512], \"label\": \"log cross-section\"},\n {\"box_2d\": [675, 475, 739, 555], \"label\": \"log cross-section\"},\n {\"box_2d\": [706, 595, 747, 641], \"label\": \"log cross-section\"},\n {\"box_2d\": [702, 639, 745, 688], \"label\": \"log cross-section\"}\n]\n```", "correct": true, "input_tokens": 1228, "output_tokens": 3260, "elapsed_seconds": 47.54466391704045, "metadata": {"match_method": "map", "num_predictions": 88, "num_ground_truth": 91, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9401440024375916, "attempts": 1, "retries": 0, "total_seconds": 47.5731}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 105, "image": "170571v_JPG_jpg.rf.044f16a58ffbf60b2d7a3d41cd3a4fdf.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [445, 463, 513, 672], \"label\": \"cracked insulator\"},\n {\"box_2d\": [497, 466, 569, 674], \"label\": \"cracked insulator\"},\n {\"box_2d\": [562, 464, 637, 676], \"label\": \"cracked insulator\"},\n {\"box_2d\": [713, 496, 779, 681], \"label\": \"cracked insulator\"},\n {\"box_2d\": [763, 487, 839, 684], \"label\": \"cracked insulator\"}\n]\n```", "correct": true, "input_tokens": 1244, "output_tokens": 192, "elapsed_seconds": 108.68609629198909, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 109.194}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 106, "image": "IMG_20260128_081412_jpg.rf.4a044ae2d306c8ba7e741477be920225.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [32, 0, 118, 43], \"label\": \"white standard price tag\"},\n {\"box_2d\": [39, 71, 118, 128], \"label\": \"white standard price tag\"},\n {\"box_2d\": [38, 148, 120, 211], \"label\": \"white standard price tag\"},\n {\"box_2d\": [52, 241, 127, 301], \"label\": \"white standard price tag\"},\n {\"box_2d\": [54, 342, 129, 398], \"label\": \"white standard price tag\"},\n {\"box_2d\": [52, 421, 127, 479], \"label\": \"white standard price tag\"},\n {\"box_2d\": [66, 529, 145, 588], \"label\": \"white standard price tag\"},\n {\"box_2d\": [68, 670, 140, 728], \"label\": \"white standard price tag\"},\n {\"box_2d\": [77, 770, 152, 829], \"label\": \"white standard price tag\"},\n {\"box_2d\": [88, 849, 163, 909], \"label\": \"white standard price tag\"},\n {\"box_2d\": [77, 926, 152, 987], \"label\": \"white standard price tag\"},\n {\"box_2d\": [662, 50, 730, 106], \"label\": \"white standard price tag\"},\n {\"box_2d\": [683, 222, 757, 276], \"label\": \"white standard price tag\"},\n {\"box_2d\": [691, 329, 764, 381], \"label\": \"white standard price tag\"},\n {\"box_2d\": [699, 648, 773, 703], \"label\": \"white standard price tag\"},\n {\"box_2d\": [701, 726, 775, 782], \"label\": \"white standard price tag\"},\n {\"box_2d\": [703, 819, 776, 876], \"label\": \"white standard price tag\"},\n {\"box_2d\": [712, 895, 784, 950], \"label\": \"white standard price tag\"},\n {\"box_2d\": [674, 419, 927, 487], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [676, 562, 932, 628], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [696, 945, 945, 1000], \"label\": \"yellow large price tag\"}\n]\n```", "correct": true, "input_tokens": 1222, "output_tokens": 774, "elapsed_seconds": 121.55817608302459, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 21, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 122.0374}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 107, "image": "IMG_20220316_163220_jpg.rf.07e174636631b0be143879d240f8f468.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [288, 79, 756, 378], \"label\": \"three of diamonds\"},\n {\"box_2d\": [406, 82, 924, 405], \"label\": \"ace of diamonds\"},\n {\"box_2d\": [400, 396, 871, 731], \"label\": \"two of diamonds\"},\n {\"box_2d\": [156, 452, 636, 809], \"label\": \"four of diamonds\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 154, "elapsed_seconds": 9.685998750035651, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 9.7272}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 108, "image": "2e57b9_3_10_png_jpg.rf.93746b4a960366b1a012ad339a5d68e1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [749, 160, 811, 180], \"label\": \"player\"},\n {\"box_2d\": [579, 59, 623, 70], \"label\": \"player\"},\n {\"box_2d\": [474, 138, 513, 145], \"label\": \"goalkeeper\"},\n {\"box_2d\": [506, 144, 513, 149], \"label\": \"football\"},\n {\"box_2d\": [457, 217, 495, 229], \"label\": \"player\"},\n {\"box_2d\": [482, 213, 519, 224], \"label\": \"player\"},\n {\"box_2d\": [501, 284, 542, 295], \"label\": \"player\"},\n {\"box_2d\": [581, 237, 626, 246], \"label\": \"player\"},\n {\"box_2d\": [425, 265, 461, 272], \"label\": \"player\"},\n {\"box_2d\": [380, 391, 405, 397], \"label\": \"player\"},\n {\"box_2d\": [416, 389, 449, 397], \"label\": \"player\"},\n {\"box_2d\": [589, 350, 637, 360], \"label\": \"player\"},\n {\"box_2d\": [586, 439, 634, 446], \"label\": \"player\"},\n {\"box_2d\": [448, 458, 482, 465], \"label\": \"player\"},\n {\"box_2d\": [494, 480, 535, 489], \"label\": \"referee\"},\n {\"box_2d\": [473, 501, 512, 508], \"label\": \"player\"},\n {\"box_2d\": [545, 464, 589, 476], \"label\": \"player\"},\n {\"box_2d\": [544, 496, 590, 504], \"label\": \"player\"},\n {\"box_2d\": [691, 488, 747, 499], \"label\": \"player\"},\n {\"box_2d\": [406, 631, 438, 637], \"label\": \"player\"},\n {\"box_2d\": [407, 658, 438, 666], \"label\": \"player\"},\n {\"box_2d\": [452, 677, 490, 684], \"label\": \"player\"},\n {\"box_2d\": [535, 694, 580, 703], \"label\": \"player\"},\n {\"box_2d\": [913, 743, 987, 771], \"label\": \"referee\"}\n]\n```", "correct": true, "input_tokens": 1242, "output_tokens": 829, "elapsed_seconds": 46.150410707923584, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9034652709960938, "attempts": 1, "retries": 0, "total_seconds": 46.2832}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 109, "image": "img283_png.rf.c0609f1f38390a89165e7c735d693ab6.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [29, 540, 95, 623], \"label\": \"and gate symbol\"},\n {\"box_2d\": [77, 366, 143, 449], \"label\": \"and gate symbol\"},\n {\"box_2d\": [123, 540, 189, 623], \"label\": \"and gate symbol\"},\n {\"box_2d\": [218, 540, 284, 623], \"label\": \"and gate symbol\"},\n {\"box_2d\": [171, 755, 237, 839], \"label\": \"or gate symbol\"},\n {\"box_2d\": [250, 366, 316, 449], \"label\": \"and gate symbol\"},\n {\"box_2d\": [329, 540, 396, 623], \"label\": \"and gate symbol\"},\n {\"box_2d\": [393, 393, 459, 476], \"label\": \"and gate symbol\"},\n {\"box_2d\": [488, 393, 554, 476], \"label\": \"and gate symbol\"},\n {\"box_2d\": [582, 393, 648, 476], \"label\": \"and gate symbol\"},\n {\"box_2d\": [678, 393, 744, 476], \"label\": \"and gate symbol\"},\n {\"box_2d\": [440, 540, 506, 623], \"label\": \"or gate symbol\"},\n {\"box_2d\": [630, 540, 696, 623], \"label\": \"or gate symbol\"},\n {\"box_2d\": [535, 701, 601, 785], \"label\": \"and gate symbol\"},\n {\"box_2d\": [661, 862, 728, 946], \"label\": \"or gate symbol\"},\n {\"box_2d\": [788, 366, 855, 449], \"label\": \"and gate symbol\"},\n {\"box_2d\": [836, 554, 902, 637], \"label\": \"or gate symbol\"},\n {\"box_2d\": [915, 353, 981, 436], \"label\": \"and gate symbol\"},\n {\"box_2d\": [345, 37, 389, 78], \"label\": \"not gate symbol\"},\n {\"box_2d\": [345, 91, 389, 132], \"label\": \"not gate symbol\"},\n {\"box_2d\": [551, 145, 594, 186], \"label\": \"not gate symbol\"},\n {\"box_2d\": [551, 198, 594, 240], \"label\": \"not gate symbol\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 798, "elapsed_seconds": 10.031225832994096, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 10.0443}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 110, "image": "000002_png.rf.4f51fa98e7c1b825375b26d30324d587.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [75, 480, 102, 560], \"label\": \"tire spike absent\"},\n {\"box_2d\": [92, 502, 130, 588], \"label\": \"tire spike absent\"},\n {\"box_2d\": [108, 502, 150, 622], \"label\": \"tire spike absent\"},\n {\"box_2d\": [132, 520, 165, 627], \"label\": \"tire spike absent\"},\n {\"box_2d\": [149, 558, 223, 667], \"label\": \"tire spike normal\"},\n {\"box_2d\": [219, 585, 304, 718], \"label\": \"tire spike normal\"},\n {\"box_2d\": [288, 635, 366, 757], \"label\": \"tire spike normal\"},\n {\"box_2d\": [360, 667, 459, 807], \"label\": \"tire spike normal\"},\n {\"box_2d\": [438, 715, 520, 833], \"label\": \"tire spike normal\"},\n {\"box_2d\": [508, 745, 598, 862], \"label\": \"tire spike normal\"},\n {\"box_2d\": [584, 780, 691, 882], \"label\": \"tire spike normal\"},\n {\"box_2d\": [666, 795, 761, 907], \"label\": \"tire spike normal\"},\n {\"box_2d\": [732, 825, 830, 912], \"label\": \"tire spike normal\"},\n {\"box_2d\": [791, 823, 886, 918], \"label\": \"tire spike absent\"},\n {\"box_2d\": [925, 522, 991, 662], \"label\": \"tire spike normal\"},\n {\"box_2d\": [864, 513, 938, 637], \"label\": \"tire spike absent\"},\n {\"box_2d\": [795, 470, 881, 610], \"label\": \"tire spike absent\"},\n {\"box_2d\": [700, 442, 806, 583], \"label\": \"tire spike normal\"},\n {\"box_2d\": [610, 388, 715, 540], \"label\": \"tire spike absent\"},\n {\"box_2d\": [535, 345, 630, 502], \"label\": \"tire spike normal\"},\n {\"box_2d\": [459, 323, 555, 472], \"label\": \"tire spike normal\"},\n {\"box_2d\": [376, 275, 488, 442], \"label\": \"tire spike normal\"},\n {\"box_2d\": [291, 240, 408, 405], \"label\": \"tire spike normal\"},\n {\"box_2d\": [214, 198, 321, 360], \"label\": \"tire spike absent\"},\n {\"box_2d\": [160, 178, 250, 315], \"label\": \"tire spike absent\"},\n {\"box_2d\": [120, 152, 192, 273], \"label\": \"tire spike normal\"},\n {\"box_2d\": [92, 153, 144, 248], \"label\": \"tire spike normal\"},\n {\"box_2d\": [78, 138, 121, 232], \"label\": \"tire spike absent\"}\n]\n```", "correct": false, "input_tokens": 1244, "output_tokens": 1016, "elapsed_seconds": 14.090215542004444, "metadata": {"match_method": "map", "num_predictions": 28, "num_ground_truth": 25, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 14.1211}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 111, "image": "20210325_203906_jpg.rf.933d9e03e479d146bb70034cc952f103.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [759, 434, 927, 606], \"label\": \"10 euro cent coin\"},\n {\"box_2d\": [541, 217, 742, 420], \"label\": \"1 euro coin\"},\n {\"box_2d\": [477, 458, 672, 656], \"label\": \"20 euro cent coin\"},\n {\"box_2d\": [319, 70, 539, 292], \"label\": \"50 euro cent coin\"},\n {\"box_2d\": [266, 366, 455, 555], \"label\": \"5 euro cent coin\"},\n {\"box_2d\": [153, 223, 300, 372], \"label\": \"1 euro cent coin\"},\n {\"box_2d\": [125, 517, 300, 691], \"label\": \"2 euro cent coin\"},\n {\"box_2d\": [331, 652, 567, 894], \"label\": \"2 euro coin\"}\n]\n```", "correct": true, "input_tokens": 1272, "output_tokens": 308, "elapsed_seconds": 6.0395802080165595, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 6.0583}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 112, "image": "IMG_6680_jpeg_jpg.rf.a7e13dbe56d360a8422903a30c5bef2b.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [504, 33, 562, 203], \"label\": \"green poker chip\"},\n {\"box_2d\": [450, 31, 526, 198], \"label\": \"green poker chip\"},\n {\"box_2d\": [488, 29, 545, 202], \"label\": \"green poker chip\"},\n {\"box_2d\": [485, 232, 538, 386], \"label\": \"orange poker chip\"},\n {\"box_2d\": [497, 217, 560, 369], \"label\": \"orange poker chip\"},\n {\"box_2d\": [447, 229, 519, 383], \"label\": \"orange poker chip\"},\n {\"box_2d\": [474, 421, 536, 574], \"label\": \"red poker chip\"},\n {\"box_2d\": [446, 432, 517, 583], \"label\": \"red poker chip\"},\n {\"box_2d\": [498, 437, 557, 589], \"label\": \"red poker chip\"},\n {\"box_2d\": [447, 623, 521, 782], \"label\": \"blue poker chip\"},\n {\"box_2d\": [506, 625, 561, 786], \"label\": \"blue poker chip\"},\n {\"box_2d\": [488, 624, 538, 780], \"label\": \"blue poker chip\"},\n {\"box_2d\": [477, 815, 533, 987], \"label\": \"white poker chip\"},\n {\"box_2d\": [438, 804, 509, 970], \"label\": \"white poker chip\"},\n {\"box_2d\": [488, 813, 549, 988], \"label\": \"white poker chip\"}\n]\n```", "correct": true, "input_tokens": 1243, "output_tokens": 549, "elapsed_seconds": 11.661634625052102, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 11.684}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 113, "image": "paper-parts_1947_92_jpg.rf.c89564b4b37a6d7828cc26ccdadbe488.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [99, 861, 113, 879], \"label\": \"page number\"},\n {\"box_2d\": [99, 118, 113, 631], \"label\": \"paragraph\"},\n {\"box_2d\": [141, 232, 472, 769], \"label\": \"figure\"},\n {\"box_2d\": [485, 118, 518, 881], \"label\": \"figure caption\"},\n {\"box_2d\": [521, 494, 536, 499], \"label\": \"paragraph\"},\n {\"box_2d\": [549, 267, 564, 732], \"label\": \"table caption\"},\n {\"box_2d\": [579, 225, 691, 774], \"label\": \"table\"},\n {\"box_2d\": [720, 118, 753, 881], \"label\": \"paragraph\"},\n {\"box_2d\": [776, 118, 791, 336], \"label\": \"subsection\"},\n {\"box_2d\": [804, 118, 837, 881], \"label\": \"paragraph\"},\n {\"box_2d\": [845, 427, 878, 571], \"label\": \"equation\"},\n {\"box_2d\": [888, 118, 912, 536], \"label\": \"paragraph\"}\n]\n```", "correct": true, "input_tokens": 1255, "output_tokens": 421, "elapsed_seconds": 12.26050249999389, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 10, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8249999284744263, "attempts": 1, "retries": 0, "total_seconds": 12.3203}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 114, "image": "160623_JPG_jpg.rf.4a3c396118b0f749044f2bf5dc9876a6.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 405, 962, 517], \"label\": \"insulator flashover\"}\n]\n```", "correct": false, "input_tokens": 1218, "output_tokens": 47, "elapsed_seconds": 167.3116772089852, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 168.2164}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 115, "image": "97_jpg.rf.6e96875525666efd5c6ee92a42ea704b.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [156, 444, 232, 488], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [365, 417, 454, 468], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [397, 258, 432, 314], \"label\": \"resistor symbol\"},\n {\"box_2d\": [400, 639, 435, 709], \"label\": \"resistor symbol\"},\n {\"box_2d\": [362, 770, 444, 809], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [546, 519, 648, 561], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [505, 114, 616, 159], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [813, 281, 860, 353], \"label\": \"resistor symbol\"},\n {\"box_2d\": [556, 863, 692, 886], \"label\": \"resistor symbol\"}\n]\n```", "correct": true, "input_tokens": 1251, "output_tokens": 341, "elapsed_seconds": 5.807546957978047, "metadata": {"match_method": "map", "num_predictions": 9, "num_ground_truth": 9, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 5.8152}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 116, "image": "IMG_20260128_081234_jpg.rf.66b0abebc9fc2c6dc309b213a32ddf78.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [742, 43, 839, 108], \"label\": \"white standard price tag\"},\n {\"box_2d\": [746, 258, 845, 329], \"label\": \"white standard price tag\"},\n {\"box_2d\": [744, 355, 843, 427], \"label\": \"white standard price tag\"},\n {\"box_2d\": [736, 441, 835, 512], \"label\": \"white standard price tag\"},\n {\"box_2d\": [746, 558, 842, 628], \"label\": \"white standard price tag\"},\n {\"box_2d\": [747, 701, 846, 769], \"label\": \"white standard price tag\"},\n {\"box_2d\": [749, 807, 847, 874], \"label\": \"white standard price tag\"},\n {\"box_2d\": [746, 882, 844, 947], \"label\": \"white standard price tag\"},\n {\"box_2d\": [748, 950, 846, 1000], \"label\": \"white standard price tag\"},\n {\"box_2d\": [3, 80, 363, 189], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [11, 297, 354, 396], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [27, 405, 358, 492], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [65, 589, 170, 667], \"label\": \"white standard price tag\"},\n {\"box_2d\": [71, 900, 176, 976], \"label\": \"white standard price tag\"}\n]\n```", "correct": true, "input_tokens": 1222, "output_tokens": 523, "elapsed_seconds": 84.91857858304866, "metadata": {"match_method": "map", "num_predictions": 14, "num_ground_truth": 14, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 85.3337}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 117, "image": "1668147222__jpg.rf.44d299ff8b2787b4176e92260de001ce.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [598, 40, 643, 68], \"label\": \"five die\"},\n {\"box_2d\": [506, 108, 560, 141], \"label\": \"six die\"},\n {\"box_2d\": [356, 125, 401, 152], \"label\": \"six die\"},\n {\"box_2d\": [567, 145, 624, 179], \"label\": \"three die\"},\n {\"box_2d\": [841, 121, 899, 154], \"label\": \"five die\"},\n {\"box_2d\": [423, 221, 469, 248], \"label\": \"five die\"},\n {\"box_2d\": [281, 206, 327, 234], \"label\": \"five die\"},\n {\"box_2d\": [373, 293, 427, 324], \"label\": \"one die\"},\n {\"box_2d\": [424, 305, 471, 330], \"label\": \"two die\"},\n {\"box_2d\": [583, 285, 634, 313], \"label\": \"six die\"},\n {\"box_2d\": [130, 318, 185, 349], \"label\": \"four die\"},\n {\"box_2d\": [174, 381, 231, 412], \"label\": \"two die\"},\n {\"box_2d\": [135, 398, 191, 429], \"label\": \"one die\"},\n {\"box_2d\": [525, 391, 580, 422], \"label\": \"four die\"},\n {\"box_2d\": [643, 373, 699, 404], \"label\": \"six die\"},\n {\"box_2d\": [757, 449, 804, 474], \"label\": \"five die\"},\n {\"box_2d\": [758, 509, 811, 537], \"label\": \"four die\"},\n {\"box_2d\": [771, 563, 828, 595], \"label\": \"five die\"},\n {\"box_2d\": [626, 502, 671, 527], \"label\": \"two die\"},\n {\"box_2d\": [630, 540, 686, 572], \"label\": \"two die\"},\n {\"box_2d\": [592, 583, 637, 608], \"label\": \"five die\"},\n {\"box_2d\": [401, 473, 456, 503], \"label\": \"one die\"},\n {\"box_2d\": [302, 490, 353, 517], \"label\": \"three die\"},\n {\"box_2d\": [212, 496, 269, 528], \"label\": \"one die\"},\n {\"box_2d\": [229, 529, 281, 556], \"label\": \"two die\"},\n {\"box_2d\": [181, 538, 239, 571], \"label\": \"five die\"},\n {\"box_2d\": [125, 553, 180, 582], \"label\": \"two die\"},\n {\"box_2d\": [169, 569, 224, 600], \"label\": \"two die\"},\n {\"box_2d\": [20, 613, 80, 645], \"label\": \"five die\"},\n {\"box_2d\": [376, 530, 430, 562], \"label\": \"six die\"},\n {\"box_2d\": [461, 586, 517, 618], \"label\": \"six die\"},\n {\"box_2d\": [482, 626, 537, 658], \"label\": \"one die\"},\n {\"box_2d\": [537, 628, 589, 658], \"label\": \"four die\"},\n {\"box_2d\": [568, 651, 625, 682], \"label\": \"six die\"},\n {\"box_2d\": [641, 665, 696, 696], \"label\": \"three die\"},\n {\"box_2d\": [286, 612, 342, 644], \"label\": \"two die\"},\n {\"box_2d\": [332, 634, 383, 661], \"label\": \"two die\"},\n {\"box_2d\": [397, 639, 446, 667], \"label\": \"five die\"},\n {\"box_2d\": [354, 695, 400, 722], \"label\": \"four die\"},\n {\"box_2d\": [400, 731, 459, 764], \"label\": \"five die\"},\n {\"box_2d\": [463, 742, 521, 775], \"label\": \"five die\"},\n {\"box_2d\": [514, 757, 566, 787], \"label\": \"two die\"},\n {\"box_2d\": [585, 770, 641, 802], \"label\": \"two die\"},\n {\"box_2d\": [137, 729, 191, 759], \"label\": \"one die\"},\n {\"box_2d\": [157, 792, 216, 825], \"label\": \"three die\"},\n {\"box_2d\": [450, 858, 496, 887], \"label\": \"four die\"},\n {\"box_2d\": [699, 912, 746, 941], \"label\": \"five die\"},\n {\"box_2d\": [82, 935, 130, 964], \"label\": \"two die\"},\n {\"box_2d\": [126, 918, 183, 950], \"label\": \"two die\"},\n {\"box_2d\": [126, 947, 176, 977], \"label\": \"three die\"}\n]\n```", "correct": true, "input_tokens": 1252, "output_tokens": 1757, "elapsed_seconds": 21.458932667039335, "metadata": {"match_method": "map", "num_predictions": 50, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8987517952919006, "attempts": 1, "retries": 0, "total_seconds": 21.5178}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 118, "image": "IMG_0603_jpeg.rf.ecb146a41f95c297fa9a3a9efb0e3ea5.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [461, 213, 616, 311], \"label\": \"peach jelly bean\"},\n {\"box_2d\": [339, 396, 456, 466], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [468, 520, 588, 640], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [345, 689, 447, 798], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [96, 771, 157, 823], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [101, 821, 160, 872], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [153, 856, 215, 904], \"label\": \"caramel corn jelly bean\"},\n {\"box_2d\": [121, 868, 165, 910], \"label\": \"mixed berry smoothie jelly bean\"}\n]\n```", "correct": true, "input_tokens": 1230, "output_tokens": 315, "elapsed_seconds": 49.43548700003885, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8341583609580994, "attempts": 1, "retries": 0, "total_seconds": 49.4868}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 119, "image": "lot229_JPEG_jpg.rf.ffdf35568953f3fde9f8f46749018268.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [771, 355, 790, 396], \"label\": \"chicory seed\"},\n {\"box_2d\": [769, 396, 800, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [765, 453, 803, 476], \"label\": \"chicory seed\"},\n {\"box_2d\": [749, 409, 770, 456], \"label\": \"chicory seed\"},\n {\"box_2d\": [750, 511, 790, 545], \"label\": \"chicory seed\"},\n {\"box_2d\": [740, 551, 779, 586], \"label\": \"chicory seed\"},\n {\"box_2d\": [761, 601, 786, 643], \"label\": \"chicory seed\"},\n {\"box_2d\": [740, 600, 767, 647], \"label\": \"chicory seed\"},\n {\"box_2d\": [713, 641, 756, 665], \"label\": \"chicory seed\"},\n {\"box_2d\": [702, 661, 744, 694], \"label\": \"chicory seed\"},\n {\"box_2d\": [685, 678, 720, 720], \"label\": \"chicory seed\"},\n {\"box_2d\": [665, 717, 697, 757], \"label\": \"chicory seed\"},\n {\"box_2d\": [691, 639, 715, 681], \"label\": \"chicory seed\"},\n {\"box_2d\": [705, 583, 745, 620], \"label\": \"chicory seed\"},\n {\"box_2d\": [698, 566, 738, 602], \"label\": \"chicory seed\"},\n {\"box_2d\": [683, 555, 720, 594], \"label\": \"chicory seed\"},\n {\"box_2d\": [678, 531, 716, 569], \"label\": \"chicory seed\"},\n {\"box_2d\": [731, 519, 754, 564], \"label\": \"chicory seed\"},\n {\"box_2d\": [724, 498, 764, 522], \"label\": \"chicory seed\"},\n {\"box_2d\": [725, 444, 753, 483], \"label\": \"chicory seed\"},\n {\"box_2d\": [707, 405, 747, 444], \"label\": \"chicory seed\"},\n {\"box_2d\": [686, 461, 730, 484], \"label\": \"chicory seed\"},\n {\"box_2d\": [661, 484, 703, 510], \"label\": \"chicory seed\"},\n {\"box_2d\": [654, 451, 690, 489], \"label\": \"chicory seed\"},\n {\"box_2d\": [671, 412, 711, 444], \"label\": \"chicory seed\"},\n {\"box_2d\": [673, 386, 708, 412], \"label\": \"chicory seed\"},\n {\"box_2d\": [678, 344, 705, 388], \"label\": \"chicory seed\"},\n {\"box_2d\": [684, 327, 722, 353], \"label\": \"chicory seed\"},\n {\"box_2d\": [708, 277, 747, 310], \"label\": \"chicory seed\"},\n {\"box_2d\": [632, 273, 677, 297], \"label\": \"chicory seed\"},\n {\"box_2d\": [639, 195, 675, 232], \"label\": \"chicory seed\"},\n {\"box_2d\": [598, 196, 636, 234], \"label\": \"chicory seed\"},\n {\"box_2d\": [594, 171, 631, 205], \"label\": \"chicory seed\"},\n {\"box_2d\": [553, 184, 588, 219], \"label\": \"chicory seed\"},\n {\"box_2d\": [565, 263, 606, 293], \"label\": \"chicory seed\"},\n {\"box_2d\": [602, 331, 632, 371], \"label\": \"chicory seed\"},\n {\"box_2d\": [579, 305, 605, 350], \"label\": \"chicory seed\"},\n {\"box_2d\": [578, 346, 606, 390], \"label\": \"chicory seed\"},\n {\"box_2d\": [554, 378, 586, 421], \"label\": \"chicory seed\"},\n {\"box_2d\": [567, 389, 599, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [585, 404, 624, 436], \"label\": \"chicory seed\"},\n {\"box_2d\": [629, 415, 658, 456], \"label\": \"chicory seed\"},\n {\"box_2d\": [647, 369, 678, 409], \"label\": \"chicory seed\"},\n {\"box_2d\": [650, 406, 671, 450], \"label\": \"chicory seed\"},\n {\"box_2d\": [623, 458, 661, 490], \"label\": \"chicory seed\"},\n {\"box_2d\": [607, 490, 648, 513], \"label\": \"chicory seed\"},\n {\"box_2d\": [579, 472, 623, 496], \"label\": \"chicory seed\"},\n {\"box_2d\": [573, 437, 594, 480], \"label\": \"chicory seed\"},\n {\"box_2d\": [548, 424, 573, 469], \"label\": \"chicory seed\"},\n {\"box_2d\": [525, 419, 556, 460], \"label\": \"chicory seed\"},\n {\"box_2d\": [514, 405, 543, 444], \"label\": \"chicory seed\"},\n {\"box_2d\": [518, 370, 548, 408], \"label\": \"chicory seed\"},\n {\"box_2d\": [525, 310, 560, 351], \"label\": \"chicory seed\"},\n {\"box_2d\": [510, 309, 534, 349], \"label\": \"chicory seed\"},\n {\"box_2d\": [504, 343, 546, 375], \"label\": \"chicory seed\"},\n {\"box_2d\": [482, 316, 511, 361], \"label\": \"chicory seed\"},\n {\"box_2d\": [508, 270, 533, 309], \"label\": \"chicory seed\"},\n {\"box_2d\": [522, 245, 556, 286], \"label\": \"chicory seed\"},\n {\"box_2d\": [525, 219, 565, 253], \"label\": \"chicory seed\"},\n {\"box_2d\": [484, 187, 526, 216], \"label\": \"chicory seed\"},\n {\"box_2d\": [478, 232, 509, 273], \"label\": \"chicory seed\"},\n {\"box_2d\": [461, 242, 496, 282], \"label\": \"chicory seed\"},\n {\"box_2d\": [460, 191, 480, 233], \"label\": \"chicory seed\"},\n {\"box_2d\": [425, 230, 459, 272], \"label\": \"chicory seed\"},\n {\"box_2d\": [422, 196, 461, 230], \"label\": \"chicory seed\"},\n {\"box_2d\": [404, 177, 448, 203], \"label\": \"chicory seed\"},\n {\"box_2d\": [397, 230, 434, 260], \"label\": \"chicory seed\"},\n {\"box_2d\": [394, 204, 425, 245], \"label\": \"chicory seed\"},\n {\"box_2d\": [384, 145, 417, 177], \"label\": \"chicory seed\"},\n {\"box_2d\": [375, 126, 401, 168], \"label\": \"chicory seed\"},\n {\"box_2d\": [363, 186, 405, 213], \"label\": \"chicory seed\"},\n {\"box_2d\": [315, 202, 355, 236], \"label\": \"chicory seed\"},\n {\"box_2d\": [401, 273, 443, 306], \"label\": \"chicory seed\"},\n {\"box_2d\": [404, 304, 445, 329], \"label\": \"chicory seed\"},\n {\"box_2d\": [421, 325, 461, 350], \"label\": \"chicory seed\"},\n {\"box_2d\": [399, 342, 437, 374], \"label\": \"chicory seed\"},\n {\"box_2d\": [461, 342, 483, 386], \"label\": \"chicory seed\"},\n {\"box_2d\": [443, 356, 463, 402], \"label\": \"chicory seed\"},\n {\"box_2d\": [485, 386, 525, 411], \"label\": \"chicory seed\"},\n {\"box_2d\": [465, 398, 505, 421], \"label\": \"chicory seed\"},\n {\"box_2d\": [474, 417, 516, 450], \"label\": \"chicory seed\"},\n {\"box_2d\": [466, 451, 508, 485], \"label\": \"chicory seed\"},\n {\"box_2d\": [482, 478, 524, 502], \"label\": \"chicory seed\"},\n {\"box_2d\": [473, 499, 517, 525], \"label\": \"chicory seed\"},\n {\"box_2d\": [495, 508, 536, 538], \"label\": \"chicory seed\"},\n {\"box_2d\": [529, 482, 571, 510], \"label\": \"chicory seed\"},\n {\"box_2d\": [557, 497, 599, 520], \"label\": \"chicory seed\"},\n {\"box_2d\": [540, 511, 578, 545], \"label\": \"chicory seed\"},\n {\"box_2d\": [574, 518, 596, 557], \"label\": \"chicory seed\"},\n {\"box_2d\": [592, 522, 620, 567], \"label\": \"chicory seed\"},\n {\"box_2d\": [619, 519, 642, 564], \"label\": \"chicory seed\"},\n {\"box_2d\": [654, 544, 675, 588], \"label\": \"chicory seed\"},\n {\"box_2d\": [613, 561, 655, 586], \"label\": \"chicory seed\"},\n {\"box_2d\": [599, 578, 633, 620], \"label\": \"chicory seed\"},\n {\"box_2d\": [607, 603, 648, 640], \"label\": \"chicory seed\"},\n {\"box_2d\": [618, 634, 641, 679], \"label\": \"chicory seed\"},\n {\"box_2d\": [633, 673, 656, 716], \"label\": \"chicory seed\"},\n {\"box_2d\": [614, 679, 635, 728], \"label\": \"chicory seed\"},\n {\"box_2d\": [638, 709, 661, 754], \"label\": \"chicory seed\"},\n {\"box_2d\": [618, 735, 642, 775], \"label\": \"chicory seed\"},\n {\"box_2d\": [584, 633, 620, 670], \"label\": \"chicory seed\"},\n {\"box_2d\": [577, 601, 613, 642], \"label\": \"chicory seed\"},\n {\"box_2d\": [558, 610, 595, 644], \"label\": \"chicory seed\"},\n {\"box_2d\": [555, 635, 597, 669], \"label\": \"chicory seed\"},\n {\"box_2d\": [571, 566, 611, 599], \"label\": \"chicory seed\"},\n {\"box_2d\": [554, 551, 597, 575], \"label\": \"chicory seed\"},\n {\"box_2d\": [529, 570, 569, 592], \"label\": \"chicory seed\"},\n {\"box_2d\": [533, 588, 577, 612], \"label\": \"chicory seed\"},\n {\"box_2d\": [537, 607, 558, 644], \"label\": \"chicory seed\"},\n {\"box_2d\": [517, 594, 535, 635], \"label\": \"chicory seed\"},\n {\"box_2d\": [505, 533, 529, 581], \"label\": \"chicory seed\"},\n {\"box_2d\": [495, 556, 524, 600], \"label\": \"chicory seed\"},\n {\"box_2d\": [474, 521, 505, 564], \"label\": \"chicory seed\"},\n {\"box_2d\": [482, 578, 516, 617], \"label\": \"chicory seed\"},\n {\"box_2d\": [478, 609, 522, 640], \"label\": \"chicory seed\"},\n {\"box_2d\": [510, 635, 545, 671], \"label\": \"chicory seed\"},\n {\"box_2d\": [524, 668, 561, 691], \"label\": \"chicory seed\"},\n {\"box_2d\": [555, 678, 594, 710], \"label\": \"chicory seed\"},\n {\"box_2d\": [568, 694, 609, 728], \"label\": \"chicory seed\"},\n {\"box_2d\": [575, 747, 617, 770], \"label\": \"chicory seed\"},\n {\"box_2d\": [558, 729, 600, 751], \"label\": \"chicory seed\"},\n {\"box_2d\": [540, 769, 587, 793], \"label\": \"chicory seed\"},\n {\"box_2d\": [536, 740, 576, 770], \"label\": \"chicory seed\"},\n {\"box_2d\": [544, 694, 567, 736], \"label\": \"chicory seed\"},\n {\"box_2d\": [525, 688, 548, 735], \"label\": \"chicory seed\"},\n {\"box_2d\": [504, 704, 538, 745], \"label\": \"chicory seed\"},\n {\"box_2d\": [514, 737, 548, 776], \"label\": \"chicory seed\"},\n {\"box_2d\": [499, 780, 537, 804], \"label\": \"chicory seed\"},\n {\"box_2d\": [491, 803, 529, 842], \"label\": \"chicory seed\"},\n {\"box_2d\": [476, 794, 509, 834], \"label\": \"chicory seed\"},\n {\"box_2d\": [465, 751, 495, 793], \"label\": \"chicory seed\"},\n {\"box_2d\": [478, 722, 513, 763], \"label\": \"chicory seed\"},\n {\"box_2d\": [453, 725, 478, 767], \"label\": \"chicory seed\"},\n {\"box_2d\": [486, 682, 526, 716], \"label\": \"chicory seed\"},\n {\"box_2d\": [496, 657, 533, 690], \"label\": \"chicory seed\"},\n {\"box_2d\": [454, 688, 494, 718], \"label\": \"chicory seed\"},\n {\"box_2d\": [427, 779, 467, 815], \"label\": \"chicory seed\"},\n {\"box_2d\": [421, 753, 460, 781], \"label\": \"chicory seed\"},\n {\"box_2d\": [397, 772, 437, 808], \"label\": \"chicory seed\"},\n {\"box_2d\": [395, 734, 437, 770], \"label\": \"chicory seed\"},\n {\"box_2d\": [410, 711, 452, 735], \"label\": \"chicory seed\"},\n {\"box_2d\": [410, 688, 453, 714], \"label\": \"chicory seed\"},\n {\"box_2d\": [357, 744, 381, 788], \"label\": \"chicory seed\"},\n {\"box_2d\": [350, 788, 380, 831], \"label\": \"chicory seed\"},\n {\"box_2d\": [329, 786, 365, 824], \"label\": \"chicory seed\"},\n {\"box_2d\": [306, 772, 350, 801], \"label\": \"chicory seed\"},\n {\"box_2d\": [275, 761, 315, 793], \"label\": \"chicory seed\"},\n {\"box_2d\": [273, 747, 315, 772], \"label\": \"chicory seed\"},\n {\"box_2d\": [277, 718, 321, 741], \"label\": \"chicory seed\"},\n {\"box_2d\": [235, 718, 279, 744], \"label\": \"chicory seed\"},\n {\"box_2d\": [205, 698, 248, 720], \"label\": \"chicory seed\"},\n {\"box_2d\": [199, 678, 240, 703], \"label\": \"chicory seed\"},\n {\"box_2d\": [239, 667, 274, 704], \"label\": \"chicory seed\"},\n {\"box_2d\": [166, 658, 198, 696], \"label\": \"chicory seed\"},\n {\"box_2d\": [323, 682, 362, 718], \"label\": \"chicory seed\"},\n {\"box_2d\": [360, 703, 396, 740], \"label\": \"chicory seed\"},\n {\"box_2d\": [360, 679, 391, 717], \"label\": \"chicory seed\"},\n {\"box_2d\": [380, 684, 412, 728], \"label\": \"chicory seed\"},\n {\"box_2d\": [387, 659, 416, 698], \"label\": \"chicory seed\"},\n {\"box_2d\": [416, 646, 444, 688], \"label\": \"chicory seed\"},\n {\"box_2d\": [401, 634, 437, 674], \"label\": \"chicory seed\"},\n {\"box_2d\": [393, 622, 432, 654], \"label\": \"chicory seed\"},\n {\"box_2d\": [378, 608, 422, 636], \"label\": \"chicory seed\"},\n {\"box_2d\": [367, 593, 413, 616], \"label\": \"chicory seed\"},\n {\"box_2d\": [363, 634, 394, 678], \"label\": \"chicory seed\"},\n {\"box_2d\": [350, 616, 381, 659], \"label\": \"chicory seed\"},\n {\"box_2d\": [324, 657, 368, 685], \"label\": \"chicory seed\"},\n {\"box_2d\": [329, 620, 366, 650], \"label\": \"chicory seed\"},\n {\"box_2d\": [332, 599, 372, 628], \"label\": \"chicory seed\"},\n {\"box_2d\": [304, 638, 333, 681], \"label\": \"chicory seed\"},\n {\"box_2d\": [296, 616, 331, 656], \"label\": \"chicory seed\"},\n {\"box_2d\": [304, 596, 349, 621], \"label\": \"chicory seed\"},\n {\"box_2d\": [329, 577, 374, 602], \"label\": \"chicory seed\"},\n {\"box_2d\": [313, 569, 358, 595], \"label\": \"chicory seed\"},\n {\"box_2d\": [309, 556, 349, 578], \"label\": \"chicory seed\"},\n {\"box_2d\": [334, 545, 374, 579], \"label\": \"chicory seed\"},\n {\"box_2d\": [334, 523, 380, 554], \"label\": \"chicory seed\"},\n {\"box_2d\": [369, 552, 401, 594], \"label\": \"chicory seed\"},\n {\"box_2d\": [398, 575, 440, 607], \"label\": \"chicory seed\"},\n {\"box_2d\": [389, 548, 427, 586], \"label\": \"chicory seed\"},\n {\"box_2d\": [385, 524, 423, 563], \"label\": \"chicory seed\"},\n {\"box_2d\": [404, 513, 440, 556], \"label\": \"chicory seed\"},\n {\"box_2d\": [417, 501, 452, 544], \"label\": \"chicory seed\"},\n {\"box_2d\": [419, 554, 451, 596], \"label\": \"chicory seed\"},\n {\"box_2d\": [423, 605, 452, 649], \"label\": \"chicory seed\"},\n {\"box_2d\": [441, 648, 464, 692], \"label\": \"chicory seed\"},\n {\"box_2d\": [460, 642, 482, 685], \"label\": \"chicory seed\"},\n {\"box_2d\": [478, 654, 515, 678], \"label\": \"chicory seed\"},\n {\"box_2d\": [470, 621, 504, 658], \"label\": \"chicory seed\"},\n {\"box_2d\": [441, 604, 474, 647], \"label\": \"chicory seed\"},\n {\"box_2d\": [444, 584, 478, 626], \"label\": \"chicory seed\"},\n {\"box_2d\": [460, 574, 491, 618], \"label\": \"chicory seed\"},\n {\"box_2d\": [437, 542, 470, 583], \"label\": \"chicory seed\"},\n {\"box_2d\": [454, 542, 498, 580], \"label\": \"chicory seed\"},\n {\"box_2d\": [445, 515, 478, 552], \"label\": \"chicory seed\"},\n {\"box_2d\": [454, 466, 478, 512], \"label\": \"chicory seed\"},\n {\"box_2d\": [427, 477, 453, 521], \"label\": \"chicory seed\"},\n {\"box_2d\": [390, 478, 424, 515], \"label\": \"chicory seed\"},\n {\"box_2d\": [398, 459, 432, 501], \"label\": \"chicory seed\"},\n {\"box_2d\": [377, 492, 403, 538], \"label\": \"chicory seed\"},\n {\"box_2d\": [382, 440, 417, 480], \"label\": \"chicory seed\"},\n {\"box_2d\": [427, 444, 467, 477], \"label\": \"chicory seed\"},\n {\"box_2d\": [419, 430, 461, 462], \"label\": \"chicory seed\"},\n {\"box_2d\": [406, 409, 435, 447], \"label\": \"chicory seed\"},\n {\"box_2d\": [418, 396, 453, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [433, 387, 468, 430], \"label\": \"chicory seed\"},\n {\"box_2d\": [400, 376, 443, 404], \"label\": \"chicory seed\"},\n {\"box_2d\": [367, 374, 407, 398], \"label\": \"chicory seed\"},\n {\"box_2d\": [374, 405, 400, 447], \"label\": \"chicory seed\"},\n {\"box_2d\": [362, 395, 389, 436], \"label\": \"chicory seed\"},\n {\"box_2d\": [356, 451, 391, 490], \"label\": \"chicory seed\"},\n {\"box_2d\": [341, 430, 379, 462], \"label\": \"chicory seed\"},\n {\"box_2d\": [332, 437, 359, 482], \"label\": \"chicory seed\"},\n {\"box_2d\": [341, 386, 369, 430], \"label\": \"chicory seed\"},\n {\"box_2d\": [342, 354, 382, 388], \"label\": \"chicory seed\"},\n {\"box_2d\": [347, 311, 374, 356], \"label\": \"chicory seed\"},\n {\"box_2d\": [334, 321, 357, 367], \"label\": \"chicory seed\"},\n {\"box_2d\": [363, 277, 387, 321], \"label\": \"chicory seed\"},\n {\"box_2d\": [334, 247, 369, 289], \"label\": \"chicory seed\"},\n {\"box_2d\": [329, 266, 364, 312], \"label\": \"chicory seed\"},\n {\"box_2d\": [312, 269, 344, 312], \"label\": \"chicory seed\"},\n {\"box_2d\": [304, 234, 342, 271], \"label\": \"chicory seed\"},\n {\"box_2d\": [287, 255, 317, 297], \"label\": \"chicory seed\"},\n {\"box_2d\": [303, 296, 332, 340], \"label\": \"chicory seed\"},\n {\"box_2d\": [281, 284, 304, 329], \"label\": \"chicory seed\"},\n {\"box_2d\": [293, 323, 320, 366], \"label\": \"chicory seed\"},\n {\"box_2d\": [317, 345, 342, 390], \"label\": \"chicory seed\"},\n {\"box_2d\": [320, 389, 346, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [298, 405, 336, 439], \"label\": \"chicory seed\"},\n {\"box_2d\": [296, 427, 333, 456], \"label\": \"chicory seed\"},\n {\"box_2d\": [285, 442, 324, 473], \"label\": \"chicory seed\"},\n {\"box_2d\": [317, 455, 340, 502], \"label\": \"chicory seed\"},\n {\"box_2d\": [289, 458, 318, 500], \"label\": \"chicory seed\"},\n {\"box_2d\": [324, 494, 366, 521], \"label\": \"chicory seed\"},\n {\"box_2d\": [290, 498, 326, 530], \"label\": \"chicory seed\"},\n {\"box_2d\": [307, 515, 334, 559], \"label\": \"chicory seed\"},\n {\"box_2d\": [291, 531, 314, 577], \"label\": \"chicory seed\"},\n {\"box_2d\": [274, 570, 315, 597], \"label\": \"chicory seed\"},\n {\"box_2d\": [269, 586, 307, 624], \"label\": \"chicory seed\"},\n {\"box_2d\": [256, 603, 296, 640], \"label\": \"chicory seed\"},\n {\"box_2d\": [250, 636, 293, 667], \"label\": \"chicory seed\"},\n {\"box_2d\": [220, 645, 255, 672], \"label\": \"chicory seed\"},\n {\"box_2d\": [225, 616, 267, 652], \"label\": \"chicory seed\"},\n {\"box_2d\": [211, 608, 252, 644], \"label\": \"chicory seed\"},\n {\"box_2d\": [199, 597, 241, 621], \"label\": \"chicory seed\"},\n {\"box_2d\": [165, 617, 209, 639], \"label\": \"chicory seed\"},\n {\"box_2d\": [158, 598, 201, 619], \"label\": \"chicory seed\"},\n {\"box_2d\": [252, 565, 279, 609], \"label\": \"chicory seed\"},\n {\"box_2d\": [230, 562, 261, 606], \"label\": \"chicory seed\"},\n {\"box_2d\": [212, 554, 248, 597], \"label\": \"chicory seed\"},\n {\"box_2d\": [206, 545, 238, 582], \"label\": \"chicory seed\"},\n {\"box_2d\": [269, 535, 293, 572], \"label\": \"chicory seed\"},\n {\"box_2d\": [249, 528, 278, 569], \"label\": \"chicory seed\"},\n {\"box_2d\": [256, 497, 290, 535], \"label\": \"chicory seed\"},\n {\"box_2d\": [230, 514, 264, 556], \"label\": \"chicory seed\"},\n {\"box_2d\": [232, 494, 260, 538], \"label\": \"chicory seed\"},\n {\"box_2d\": [218, 487, 243, 533], \"label\": \"chicory seed\"},\n {\"box_2d\": [233, 470, 277, 499], \"label\": \"chicory seed\"},\n {\"box_2d\": [211, 446, 233, 489], \"label\": \"chicory seed\"},\n {\"box_2d\": [191, 424, 218, 469], \"label\": \"chicory seed\"},\n {\"box_2d\": [194, 529, 231, 564], \"label\": \"chicory seed\"},\n {\"box_2d\": [191, 505, 220, 549], \"label\": \"chicory seed\"},\n {\"box_2d\": [173, 554, 198, 599], \"label\": \"chicory seed\"},\n {\"box_2d\": [155, 547, 185, 591], \"label\": \"chicory seed\"},\n {\"box_2d\": [170, 512, 196, 556], \"label\": \"chicory seed\"},\n {\"box_2d\": [155, 509, 178, 553], \"label\": \"chicory seed\"},\n {\"box_2d\": [163, 491, 205, 515], \"label\": \"chicory seed\"},\n {\"box_2d\": [124, 539, 145, 586], \"label\": \"chicory seed\"},\n {\"box_2d\": [125, 487, 165, 523], \"label\": \"chicory seed\"},\n {\"box_2d\": [151, 449, 183, 490], \"label\": \"chicory seed\"},\n {\"box_2d\": [120, 464, 152, 508], \"label\": \"chicory seed\"},\n {\"box_2d\": [114, 451, 137, 496], \"label\": \"chicory seed\"},\n {\"box_2d\": [135, 430, 169, 470], \"label\": \"chicory seed\"},\n {\"box_2d\": [117, 410, 161, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [138, 374, 181, 399], \"label\": \"chicory seed\"},\n {\"box_2d\": [128, 354, 172, 379], \"label\": \"chicory seed\"},\n {\"box_2d\": [169, 347, 210, 372], \"label\": \"chicory seed\"},\n {\"box_2d\": [186, 389, 222, 427], \"label\": \"chicory seed\"},\n {\"box_2d\": [202, 354, 234, 396], \"label\": \"chicory seed\"},\n {\"box_2d\": [224, 379, 243, 421], \"label\": \"chicory seed\"},\n {\"box_2d\": [239, 389, 277, 425], \"label\": \"chicory seed\"},\n {\"box_2d\": [262, 410, 282, 456], \"label\": \"chicory seed\"},\n {\"box_2d\": [280, 398, 300, 441], \"label\": \"chicory seed\"},\n {\"box_2d\": [270, 372, 311, 403], \"label\": \"chicory seed\"},\n {\"box_2d\": [287, 364, 326, 401], \"label\": \"chicory seed\"},\n {\"box_2d\": [273, 330, 294, 375], \"label\": \"chicory seed\"},\n {\"box_2d\": [239, 355, 276, 390], \"label\": \"chicory seed\"},\n {\"box_2d\": [232, 339, 268, 378], \"label\": \"chicory seed\"},\n {\"box_2d\": [258, 304, 281, 351], \"label\": \"chicory seed\"},\n {\"box_2d\": [187, 314, 222, 354], \"label\": \"chicory seed\"},\n {\"box_2d\": [166, 298, 190, 343], \"label\": \"chicory seed\"},\n {\"box_2d\": [208, 315, 250, 346], \"label\": \"chicory seed\"},\n {\"box_2d\": [224, 301, 261, 336], \"label\": \"chicory seed\"},\n {\"box_2d\": [178, 262, 203, 302], \"label\": \"chicory seed\"},\n {\"box_2d\": [194, 238, 215, 285], \"label\": \"chicory seed\"},\n {\"box_2d\": [213, 253, 234, 298], \"label\": \"chicory seed\"},\n {\"box_2d\": [225, 264, 261, 303], \"label\": \"chicory seed\"},\n {\"box_2d\": [215, 230, 259, 252], \"label\": \"chicory seed\"},\n {\"box_2d\": [230, 246, 270, 267], \"label\": \"chicory seed\"},\n {\"box_2d\": [264, 242, 289, 286], \"label\": \"chicory seed\"},\n {\"box_2d\": [262, 219, 299, 249], \"label\": \"chicory seed\"},\n {\"box_2d\": [250, 197, 279, 241], \"label\": \"chicory seed\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 10884, "elapsed_seconds": 79.00914145808201, "metadata": {"match_method": "map", "num_predictions": 302, "num_ground_truth": 303, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3366336524486542, "attempts": 1, "retries": 0, "total_seconds": 79.1335}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 120, "image": "Screenshot-2024-05-16-144630_png.rf.ac24f71a7370686a36ea1f2bec910257.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [74, 128, 92, 146], \"label\": \"bullet hole\"},\n {\"box_2d\": [6, 120, 28, 138], \"label\": \"bullet hole\"},\n {\"box_2d\": [53, 342, 70, 365], \"label\": \"bullet hole\"},\n {\"box_2d\": [113, 342, 136, 363], \"label\": \"bullet hole\"},\n {\"box_2d\": [168, 138, 189, 157], \"label\": \"bullet hole\"},\n {\"box_2d\": [225, 144, 248, 165], \"label\": \"bullet hole\"},\n {\"box_2d\": [180, 342, 200, 362], \"label\": \"bullet hole\"},\n {\"box_2d\": [100, 567, 121, 583], \"label\": \"bullet hole\"},\n {\"box_2d\": [213, 509, 234, 529], \"label\": \"bullet hole\"},\n {\"box_2d\": [257, 613, 275, 632], \"label\": \"bullet hole\"},\n {\"box_2d\": [224, 670, 248, 695], \"label\": \"bullet hole\"},\n {\"box_2d\": [67, 809, 89, 830], \"label\": \"bullet hole\"},\n {\"box_2d\": [140, 795, 162, 816], \"label\": \"bullet hole\"},\n {\"box_2d\": [225, 848, 246, 868], \"label\": \"bullet hole\"},\n {\"box_2d\": [332, 835, 355, 857], \"label\": \"bullet hole\"},\n {\"box_2d\": [390, 829, 415, 851], \"label\": \"bullet hole\"},\n {\"box_2d\": [320, 668, 341, 692], \"label\": \"bullet hole\"},\n {\"box_2d\": [313, 561, 335, 581], \"label\": \"bullet hole\"},\n {\"box_2d\": [359, 608, 381, 630], \"label\": \"bullet hole\"},\n {\"box_2d\": [351, 276, 375, 297], \"label\": \"bullet hole\"},\n {\"box_2d\": [423, 219, 444, 242], \"label\": \"bullet hole\"},\n {\"box_2d\": [474, 157, 488, 170], \"label\": \"bullet hole\"},\n {\"box_2d\": [571, 94, 594, 114], \"label\": \"bullet hole\"},\n {\"box_2d\": [633, 35, 646, 56], \"label\": \"bullet hole\"},\n {\"box_2d\": [568, 272, 591, 294], \"label\": \"bullet hole\"},\n {\"box_2d\": [612, 249, 630, 271], \"label\": \"bullet hole\"},\n {\"box_2d\": [581, 363, 603, 386], \"label\": \"bullet hole\"},\n {\"box_2d\": [530, 463, 553, 486], \"label\": \"bullet hole\"},\n {\"box_2d\": [586, 611, 609, 632], \"label\": \"bullet hole\"},\n {\"box_2d\": [685, 606, 709, 632], \"label\": \"bullet hole\"},\n {\"box_2d\": [686, 449, 710, 475], \"label\": \"bullet hole\"},\n {\"box_2d\": [721, 356, 742, 381], \"label\": \"bullet hole\"},\n {\"box_2d\": [745, 259, 763, 284], \"label\": \"bullet hole\"},\n {\"box_2d\": [743, 173, 761, 192], \"label\": \"bullet hole\"},\n {\"box_2d\": [797, 238, 817, 256], \"label\": \"bullet hole\"},\n {\"box_2d\": [781, 343, 804, 362], \"label\": \"bullet hole\"},\n {\"box_2d\": [854, 322, 875, 340], \"label\": \"bullet hole\"},\n {\"box_2d\": [928, 170, 944, 187], \"label\": \"bullet hole\"},\n {\"box_2d\": [812, 517, 833, 539], \"label\": \"bullet hole\"},\n {\"box_2d\": [879, 456, 904, 481], \"label\": \"bullet hole\"},\n {\"box_2d\": [934, 539, 953, 560], \"label\": \"bullet hole\"},\n {\"box_2d\": [862, 609, 880, 632], \"label\": \"bullet hole\"},\n {\"box_2d\": [891, 781, 912, 801], \"label\": \"bullet hole\"},\n {\"box_2d\": [895, 887, 917, 907], \"label\": \"bullet hole\"}\n]\n```", "correct": false, "input_tokens": 1222, "output_tokens": 1540, "elapsed_seconds": 16.882513583055697, "metadata": {"match_method": "map", "num_predictions": 44, "num_ground_truth": 44, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.10431105643510818, "attempts": 1, "retries": 0, "total_seconds": 16.9149}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 121, "image": "GP010255_JPG_jpg.rf.a9c124de642391662cf0875377214d1e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [72, 531, 169, 777], \"label\": \"carrot\"},\n {\"box_2d\": [123, 514, 195, 769], \"label\": \"carrot\"},\n {\"box_2d\": [188, 594, 342, 777], \"label\": \"carrot\"},\n {\"box_2d\": [311, 645, 459, 789], \"label\": \"carrot\"},\n {\"box_2d\": [92, 344, 241, 559], \"label\": \"carrot\"},\n {\"box_2d\": [180, 380, 297, 619], \"label\": \"carrot\"},\n {\"box_2d\": [138, 281, 286, 417], \"label\": \"carrot\"},\n {\"box_2d\": [219, 323, 339, 391], \"label\": \"carrot\"},\n {\"box_2d\": [250, 345, 434, 439], \"label\": \"carrot\"},\n {\"box_2d\": [316, 306, 488, 367], \"label\": \"carrot\"},\n {\"box_2d\": [273, 427, 412, 612], \"label\": \"carrot\"},\n {\"box_2d\": [436, 333, 480, 514], \"label\": \"carrot\"},\n {\"box_2d\": [461, 381, 617, 470], \"label\": \"carrot\"},\n {\"box_2d\": [498, 370, 703, 461], \"label\": \"carrot\"},\n {\"box_2d\": [447, 278, 705, 342], \"label\": \"carrot\"},\n {\"box_2d\": [383, 519, 633, 570], \"label\": \"carrot\"},\n {\"box_2d\": [517, 469, 719, 517], \"label\": \"carrot\"},\n {\"box_2d\": [573, 494, 756, 586], \"label\": \"carrot\"},\n {\"box_2d\": [492, 558, 725, 631], \"label\": \"carrot\"},\n {\"box_2d\": [464, 628, 670, 688], \"label\": \"carrot\"},\n {\"box_2d\": [466, 684, 689, 761], \"label\": \"carrot\"},\n {\"box_2d\": [666, 633, 811, 789], \"label\": \"carrot\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 758, "elapsed_seconds": 13.839838500018232, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 13.8675}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 122, "image": "20210325_203749_jpg.rf.1705fa1e1420cef9584e0f51c930586c.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [200, 136, 405, 348], \"label\": \"50 euro cent coin\"},\n {\"box_2d\": [134, 425, 327, 620], \"label\": \"1 euro coin\"},\n {\"box_2d\": [158, 683, 322, 850], \"label\": \"10 euro cent coin\"},\n {\"box_2d\": [367, 481, 505, 620], \"label\": \"1 euro cent coin\"},\n {\"box_2d\": [439, 228, 602, 394], \"label\": \"2 euro cent coin\"},\n {\"box_2d\": [384, 750, 562, 933], \"label\": \"5 euro cent coin\"},\n {\"box_2d\": [612, 419, 805, 609], \"label\": \"20 euro cent coin\"},\n {\"box_2d\": [611, 634, 833, 856], \"label\": \"2 euro coin\"}\n]\n```", "correct": true, "input_tokens": 1272, "output_tokens": 309, "elapsed_seconds": 5.684484582976438, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 5.7025}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 123, "image": "53_jpeg_jpg.rf.827706d6e6ec3d14c5952c8d4c752e99.jpg", "expected": "", "predicted": "```json\n[{\"box_2d\": [718, 888, 800, 969], \"label\": \"potato\"}, {\"box_2d\": [91, 378, 203, 490], \"label\": \"potato\"}, {\"box_2d\": [314, 847, 426, 951], \"label\": \"potato\"}, {\"box_2d\": [720, 625, 818, 716], \"label\": \"potato\"}, {\"box_2d\": [712, 66, 795, 194], \"label\": \"potato\"}, {\"box_2d\": [714, 415, 858, 499], \"label\": \"potato\"}, {\"box_2d\": [519, 699, 621, 800], \"label\": \"potato\"}, {\"box_2d\": [515, 844, 621, 947], \"label\": \"potato\"}, {\"box_2d\": [922, 675, 1000, 769], \"label\": \"potato\"}, {\"box_2d\": [920, 12, 1000, 107], \"label\": \"potato\"}, {\"box_2d\": [924, 436, 1000, 526], \"label\": \"potato\"}, {\"box_2d\": [489, 574, 617, 688], \"label\": \"potato\"}]```", "correct": true, "input_tokens": 1240, "output_tokens": 392, "elapsed_seconds": 20.172664750018157, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 13, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9207921028137207, "attempts": 1, "retries": 0, "total_seconds": 20.2147}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 124, "image": "car-part-detection_Car-damages-1749_png_jpg.rf.841bd72a48ea0726dc55d3cf93207af1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [562, 61, 718, 120], \"label\": \"back bumper\"},\n {\"box_2d\": [556, 899, 712, 987], \"label\": \"front bumper\"},\n {\"box_2d\": [400, 725, 480, 927], \"label\": \"hood\"},\n {\"box_2d\": [278, 194, 718, 467], \"label\": \"back door\"},\n {\"box_2d\": [289, 200, 444, 429], \"label\": \"back window\"},\n {\"box_2d\": [286, 445, 461, 681], \"label\": \"front window\"},\n {\"box_2d\": [278, 444, 718, 742], \"label\": \"front door\"},\n {\"box_2d\": [402, 675, 469, 715], \"label\": \"mirror\"},\n {\"box_2d\": [432, 74, 549, 129], \"label\": \"tail light\"},\n {\"box_2d\": [324, 956, 354, 981], \"label\": \"mirror\"},\n {\"box_2d\": [310, 767, 326, 789], \"label\": \"mirror\"},\n {\"box_2d\": [278, 823, 339, 954], \"label\": \"windshield\"},\n {\"box_2d\": [272, 671, 322, 769], \"label\": \"windshield\"},\n {\"box_2d\": [356, 855, 396, 919], \"label\": \"headlight\"},\n {\"box_2d\": [352, 770, 389, 787], \"label\": \"headlight\"},\n {\"box_2d\": [280, 952, 349, 988], \"label\": \"front window\"},\n {\"box_2d\": [278, 987, 333, 999], \"label\": \"back window\"},\n {\"box_2d\": [284, 943, 434, 998], \"label\": \"front door\"},\n {\"box_2d\": [347, 764, 438, 902], \"label\": \"front bumper\"},\n {\"box_2d\": [333, 789, 377, 926], \"label\": \"hood\"},\n {\"box_2d\": [320, 646, 360, 745], \"label\": \"hood\"},\n {\"box_2d\": [345, 683, 375, 723], \"label\": \"headlight\"},\n {\"box_2d\": [274, 761, 326, 805], \"label\": \"front window\"},\n {\"box_2d\": [274, 804, 316, 839], \"label\": \"back window\"},\n {\"box_2d\": [274, 756, 398, 811], \"label\": \"front door\"},\n {\"box_2d\": [274, 805, 343, 843], \"label\": \"back door\"},\n {\"box_2d\": [301, 2, 339, 44], \"label\": \"front window\"},\n {\"box_2d\": [301, 2, 398, 63], \"label\": \"front door\"},\n {\"box_2d\": [328, 39, 349, 55], \"label\": \"mirror\"},\n {\"box_2d\": [291, 90, 427, 173], \"label\": \"back windshield\"},\n {\"box_2d\": [291, 579, 444, 757], \"label\": \"windshield\"}\n]\n```", "correct": false, "input_tokens": 1246, "output_tokens": 1079, "elapsed_seconds": 12.575797082972713, "metadata": {"match_method": "map", "num_predictions": 31, "num_ground_truth": 13, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7365235686302185, "attempts": 1, "retries": 0, "total_seconds": 12.606}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 125, "image": "1704196661687_jpg.rf.15374227e4fbd79145880dc340991d51.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [77, 452, 173, 520], \"label\": \"bean grain\"},\n {\"box_2d\": [111, 586, 197, 675], \"label\": \"bean grain\"},\n {\"box_2d\": [191, 816, 270, 909], \"label\": \"bean grain\"},\n {\"box_2d\": [219, 536, 297, 642], \"label\": \"bean grain\"},\n {\"box_2d\": [189, 303, 297, 378], \"label\": \"bean grain\"},\n {\"box_2d\": [200, 142, 286, 211], \"label\": \"bean grain\"},\n {\"box_2d\": [373, 134, 445, 241], \"label\": \"bean grain\"},\n {\"box_2d\": [456, 381, 538, 480], \"label\": \"bean grain\"},\n {\"box_2d\": [389, 717, 494, 795], \"label\": \"bean grain\"},\n {\"box_2d\": [548, 562, 623, 666], \"label\": \"bean grain\"},\n {\"box_2d\": [611, 159, 691, 267], \"label\": \"bean grain\"},\n {\"box_2d\": [647, 403, 714, 502], \"label\": \"bean grain\"},\n {\"box_2d\": [803, 344, 889, 439], \"label\": \"bean grain\"},\n {\"box_2d\": [755, 558, 842, 650], \"label\": \"bean grain\"},\n {\"box_2d\": [639, 764, 700, 862], \"label\": \"bean grain\"},\n {\"box_2d\": [539, 859, 609, 962], \"label\": \"bean grain\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 571, "elapsed_seconds": 8.584097000071779, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 8.6034}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 126, "image": "fall-detection_13_mp4-274_jpg.rf.81d37af519564fd17e00cbdde20bedcf.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [384, 520, 444, 627], \"label\": \"fallen person\"},\n {\"box_2d\": [425, 588, 472, 725], \"label\": \"fallen person\"},\n {\"box_2d\": [389, 470, 434, 558], \"label\": \"fallen person\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 117, "elapsed_seconds": 4.178027499932796, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 4.1944}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 127, "image": "tile_672_jpg.rf.563bc07bfb63272303ba7c8beec3dfd0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [219, 714, 260, 738], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [332, 830, 355, 849], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [434, 682, 472, 704], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [471, 829, 520, 862], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [602, 690, 628, 705], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [691, 828, 734, 858], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [875, 848, 926, 875], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [610, 425, 628, 449], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [512, 365, 538, 390], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [375, 329, 396, 366], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [25, 441, 80, 471], \"label\": \"ship in SAR satellite image\"}\n]\n```", "correct": true, "input_tokens": 1229, "output_tokens": 428, "elapsed_seconds": 6.645542332902551, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9108911156654358, "attempts": 1, "retries": 0, "total_seconds": 6.6911}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 128, "image": "Screenshot-2024-05-16-150353_png.rf.28f931ef1556f4fbfc5b8964a85b5e08.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [77, 984, 108, 1000], \"label\": \"bullet hole\"},\n {\"box_2d\": [397, 986, 429, 1000], \"label\": \"bullet hole\"},\n {\"box_2d\": [123, 895, 155, 927], \"label\": \"bullet hole\"},\n {\"box_2d\": [110, 764, 144, 795], \"label\": \"bullet hole\"},\n {\"box_2d\": [338, 765, 369, 795], \"label\": \"bullet hole\"},\n {\"box_2d\": [549, 798, 579, 829], \"label\": \"bullet hole\"},\n {\"box_2d\": [795, 760, 826, 789], \"label\": \"bullet hole\"},\n {\"box_2d\": [735, 646, 766, 677], \"label\": \"bullet hole\"},\n {\"box_2d\": [588, 675, 621, 704], \"label\": \"bullet hole\"},\n {\"box_2d\": [430, 622, 462, 654], \"label\": \"bullet hole\"},\n {\"box_2d\": [82, 598, 113, 629], \"label\": \"bullet hole\"},\n {\"box_2d\": [30, 415, 60, 446], \"label\": \"bullet hole\"},\n {\"box_2d\": [70, 336, 102, 366], \"label\": \"bullet hole\"},\n {\"box_2d\": [180, 467, 211, 498], \"label\": \"bullet hole\"},\n {\"box_2d\": [196, 376, 226, 405], \"label\": \"bullet hole\"},\n {\"box_2d\": [252, 285, 284, 316], \"label\": \"bullet hole\"},\n {\"box_2d\": [326, 224, 357, 255], \"label\": \"bullet hole\"},\n {\"box_2d\": [388, 255, 421, 286], \"label\": \"bullet hole\"},\n {\"box_2d\": [459, 302, 491, 333], \"label\": \"bullet hole\"},\n {\"box_2d\": [511, 58, 541, 90], \"label\": \"bullet hole\"},\n {\"box_2d\": [433, 83, 464, 114], \"label\": \"bullet hole\"},\n {\"box_2d\": [375, 1, 408, 34], \"label\": \"bullet hole\"},\n {\"box_2d\": [300, 68, 335, 101], \"label\": \"bullet hole\"},\n {\"box_2d\": [205, 13, 237, 42], \"label\": \"bullet hole\"},\n {\"box_2d\": [204, 160, 237, 193], \"label\": \"bullet hole\"},\n {\"box_2d\": [108, 80, 140, 112], \"label\": \"bullet hole\"},\n {\"box_2d\": [65, 155, 95, 181], \"label\": \"bullet hole\"},\n {\"box_2d\": [23, 38, 52, 66], \"label\": \"bullet hole\"},\n {\"box_2d\": [711, 316, 738, 345], \"label\": \"bullet hole\"},\n {\"box_2d\": [809, 321, 839, 351], \"label\": \"bullet hole\"},\n {\"box_2d\": [712, 151, 745, 182], \"label\": \"bullet hole\"},\n {\"box_2d\": [812, 109, 844, 138], \"label\": \"bullet hole\"},\n {\"box_2d\": [826, 183, 858, 212], \"label\": \"bullet hole\"},\n {\"box_2d\": [918, 176, 947, 205], \"label\": \"bullet hole\"}\n]\n```", "correct": false, "input_tokens": 1222, "output_tokens": 1183, "elapsed_seconds": 11.853168833069503, "metadata": {"match_method": "map", "num_predictions": 34, "num_ground_truth": 34, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3166424632072449, "attempts": 1, "retries": 0, "total_seconds": 11.8705}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 129, "image": "9999942_00000_d_0000179_jpg.rf.00eabf74c1cd10c40aa228a466f9fe04.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [721, 256, 745, 273], \"label\": \"person\"},\n {\"box_2d\": [652, 111, 709, 177], \"label\": \"car\"},\n {\"box_2d\": [612, 129, 665, 200], \"label\": \"car\"},\n {\"box_2d\": [466, 346, 505, 399], \"label\": \"car\"},\n {\"box_2d\": [434, 355, 470, 409], \"label\": \"car\"},\n {\"box_2d\": [375, 372, 408, 421], \"label\": \"car\"},\n {\"box_2d\": [298, 378, 329, 424], \"label\": \"car\"},\n {\"box_2d\": [299, 276, 329, 325], \"label\": \"car\"},\n {\"box_2d\": [334, 249, 370, 299], \"label\": \"van\"},\n {\"box_2d\": [329, 187, 381, 222], \"label\": \"car\"},\n {\"box_2d\": [336, 137, 390, 170], \"label\": \"van\"},\n {\"box_2d\": [363, 56, 417, 100], \"label\": \"car\"},\n {\"box_2d\": [358, 16, 413, 59], \"label\": \"car\"},\n {\"box_2d\": [341, 0, 393, 22], \"label\": \"car\"},\n {\"box_2d\": [306, 681, 342, 718], \"label\": \"car\"},\n {\"box_2d\": [250, 811, 270, 821], \"label\": \"person\"},\n {\"box_2d\": [174, 833, 274, 876], \"label\": \"bus\"},\n {\"box_2d\": [328, 969, 369, 996], \"label\": \"car\"},\n {\"box_2d\": [41, 761, 100, 785], \"label\": \"bus\"},\n {\"box_2d\": [54, 881, 71, 886], \"label\": \"person\"},\n {\"box_2d\": [49, 912, 68, 926], \"label\": \"car\"},\n {\"box_2d\": [75, 936, 132, 967], \"label\": \"truck\"},\n {\"box_2d\": [112, 976, 148, 1000], \"label\": \"van\"},\n {\"box_2d\": [80, 395, 103, 422], \"label\": \"car\"}\n]\n```", "correct": false, "input_tokens": 1217, "output_tokens": 816, "elapsed_seconds": 15.215435374993831, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 36, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.42560920119285583, "attempts": 1, "retries": 0, "total_seconds": 15.3208}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 130, "image": "125_jpg.rf.c69f3d1b75a33297315d1889af6311e9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [504, 150, 629, 187], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [346, 267, 396, 305], \"label\": \"resistor symbol\"},\n {\"box_2d\": [529, 372, 686, 395], \"label\": \"resistor symbol\"},\n {\"box_2d\": [346, 463, 389, 507], \"label\": \"resistor symbol\"},\n {\"box_2d\": [139, 736, 250, 783], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [357, 720, 404, 774], \"label\": \"resistor symbol\"},\n {\"box_2d\": [554, 635, 725, 656], \"label\": \"resistor symbol\"},\n {\"box_2d\": [525, 841, 639, 861], \"label\": \"resistor symbol\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 302, "elapsed_seconds": 4.7876434590434656, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 4.7964}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 131, "image": "IMG_20250815_164311_jpg.rf.83efd32a603d001fd15e3979d744bb04.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [553, 185, 616, 260], \"label\": \"barcode\"},\n {\"box_2d\": [627, 695, 697, 770], \"label\": \"barcode\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 80, "elapsed_seconds": 54.94798058294691, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 55.4395}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 132, "image": "Container-259_jpg.rf.0707fcc208504e8c70d360815ec87ed2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [238, 580, 294, 728], \"label\": \"shipping container number\"},\n {\"box_2d\": [289, 580, 320, 636], \"label\": \"container ISO type code\"}\n]\n```", "correct": true, "input_tokens": 1232, "output_tokens": 85, "elapsed_seconds": 4.9351333329686895, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 4.952}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 133, "image": "1704195139360_jpg.rf.325f2c91dbc2bf8869d0a95b29652b2f.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [748, 742, 792, 794], \"label\": \"lentil grain\"},\n {\"box_2d\": [532, 860, 574, 908], \"label\": \"lentil grain\"},\n {\"box_2d\": [797, 434, 834, 480], \"label\": \"lentil grain\"},\n {\"box_2d\": [614, 613, 653, 660], \"label\": \"lentil grain\"},\n {\"box_2d\": [630, 533, 672, 578], \"label\": \"lentil grain\"},\n {\"box_2d\": [554, 431, 591, 475], \"label\": \"lentil grain\"},\n {\"box_2d\": [412, 252, 453, 297], \"label\": \"lentil grain\"},\n {\"box_2d\": [206, 435, 249, 483], \"label\": \"lentil grain\"},\n {\"box_2d\": [336, 563, 372, 606], \"label\": \"lentil grain\"},\n {\"box_2d\": [471, 614, 509, 653], \"label\": \"lentil grain\"},\n {\"box_2d\": [308, 750, 347, 791], \"label\": \"lentil grain\"},\n {\"box_2d\": [303, 822, 339, 867], \"label\": \"lentil grain\"},\n {\"box_2d\": [118, 735, 160, 783], \"label\": \"lentil grain\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 480, "elapsed_seconds": 6.457359749940224, "metadata": {"match_method": "map", "num_predictions": 13, "num_ground_truth": 13, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 6.473}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 134, "image": "IMG_20250815_165037_jpg.rf.d4afcf541c2eaa2a500b0fc3e74f380a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [760, 823,,, 797, 859], \"label\": \"barcode\"},\n {\"box_2d\": [804, 665,,, 890, 706], \"label\": \"barcode\"},\n {\"box_2d\": [811, 430,,,, 474, 898], \"label\": \"barcode\"},\n {\"box_2d\": [797, 220,,, 888, 268], \"label\": \"barcode\"},\n {\"box_2d\": [123, 265,,,, 311], \"label\": \"barcode\"},\n {\"box_2d\": [303, 427,,,, 341, 471], \"label\": \"barcode\"},\n {\"box_2d\": [274, 566,,,, 309, 608], \"label\": \"barcode\"},\n {\"box_2d\": [280, 843,,,, 359, 881], \"label\": \"barcode\"}\n]\n```", "correct": false, "input_tokens": 1214, "output_tokens": 300, "elapsed_seconds": 24.020860792021267, "metadata": {"match_method": "map", "num_predictions": 0, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 24.431}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 135, "image": "frame_0213_jpg.rf.a492e6ad2bcd535fad151a853f122d53.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [77, 127, 138, 165], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [88, 253, 145, 290], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [171, 232, 232, 272], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [165, 349, 227, 384], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [48, 412, 108, 451], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [108, 554, 167, 586], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [65, 620, 117, 651], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [211, 548, 269, 581], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [283, 546, 339, 579], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [272, 444, 333, 476], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [191, 456, 241, 488], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [420, 466, 482, 502], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [419, 548, 482, 582], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [427, 234, 495, 273], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [633, 241, 703, 282], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [535, 366, 610, 405], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [623, 363, 696, 404], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [736, 349, 822, 394], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [710, 452, 788, 495], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [832, 469, 912, 511], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [678, 556, 745, 611], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [556, 562, 626, 604], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [545, 670, 608, 708], \"label\": \"garlic on conveyor\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 836, "elapsed_seconds": 16.703382374951616, "metadata": {"match_method": "map", "num_predictions": 23, "num_ground_truth": 23, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 16.8365}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 136, "image": "1668147836__jpg.rf.c1a720811dddd913a56ced8dd87e3a53.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [53, 362, 108, 387], \"label\": \"three die\"},\n {\"box_2d\": [46, 715, 106, 744], \"label\": \"six die\"},\n {\"box_2d\": [213, 742, 273, 773], \"label\": \"three die\"},\n {\"box_2d\": [339, 730, 405, 767], \"label\": \"three die\"},\n {\"box_2d\": [373, 657, 424, 685], \"label\": \"one die\"},\n {\"box_2d\": [259, 565, 323, 598], \"label\": \"five die\"},\n {\"box_2d\": [315, 526, 377, 560], \"label\": \"five die\"},\n {\"box_2d\": [343, 565, 398, 591], \"label\": \"three die\"},\n {\"box_2d\": [398, 569, 459, 601], \"label\": \"one die\"},\n {\"box_2d\": [468, 568, 523, 596], \"label\": \"three die\"},\n {\"box_2d\": [339, 480, 394, 509], \"label\": \"six die\"},\n {\"box_2d\": [232, 410, 287, 437], \"label\": \"one die\"},\n {\"box_2d\": [273, 284, 328, 311], \"label\": \"four die\"},\n {\"box_2d\": [244, 179, 300, 208], \"label\": \"one die\"},\n {\"box_2d\": [243, 142, 309, 177], \"label\": \"two die\"},\n {\"box_2d\": [495, 148, 553, 181], \"label\": \"five die\"},\n {\"box_2d\": [618, 139, 680, 174], \"label\": \"five die\"},\n {\"box_2d\": [647, 190, 706, 223], \"label\": \"six die\"},\n {\"box_2d\": [757, 183, 820, 219], \"label\": \"five die\"},\n {\"box_2d\": [725, 211, 787, 245], \"label\": \"five die\"},\n {\"box_2d\": [733, 243, 787, 274], \"label\": \"four die\"},\n {\"box_2d\": [810, 240, 871, 274], \"label\": \"six die\"},\n {\"box_2d\": [757, 270, 811, 301], \"label\": \"four die\"},\n {\"box_2d\": [711, 277, 761, 305], \"label\": \"six die\"},\n {\"box_2d\": [661, 274, 715, 306], \"label\": \"four die\"},\n {\"box_2d\": [566, 283, 626, 316], \"label\": \"five die\"},\n {\"box_2d\": [524, 274, 581, 303], \"label\": \"four die\"},\n {\"box_2d\": [461, 315, 524, 349], \"label\": \"four die\"},\n {\"box_2d\": [403, 351, 454, 377], \"label\": \"four die\"},\n {\"box_2d\": [427, 380, 486, 411], \"label\": \"four die\"},\n {\"box_2d\": [581, 350, 637, 378], \"label\": \"four die\"},\n {\"box_2d\": [532, 458, 595, 492], \"label\": \"six die\"},\n {\"box_2d\": [633, 436, 697, 471], \"label\": \"five die\"},\n {\"box_2d\": [733, 463, 792, 494], \"label\": \"four die\"},\n {\"box_2d\": [785, 300, 840, 330], \"label\": \"four die\"},\n {\"box_2d\": [895, 405, 956, 438], \"label\": \"one die\"},\n {\"box_2d\": [696, 509, 750, 538], \"label\": \"six die\"},\n {\"box_2d\": [604, 568, 658, 597], \"label\": \"five die\"},\n {\"box_2d\": [537, 628, 591, 656], \"label\": \"four die\"},\n {\"box_2d\": [643, 760, 694, 789], \"label\": \"six die\"},\n {\"box_2d\": [749, 717, 812, 752], \"label\": \"three die\"},\n {\"box_2d\": [755, 792, 814, 825], \"label\": \"six die\"},\n {\"box_2d\": [723, 824, 780, 857], \"label\": \"four die\"},\n {\"box_2d\": [799, 824, 853, 854], \"label\": \"two die\"},\n {\"box_2d\": [912, 777, 961, 805], \"label\": \"two die\"},\n {\"box_2d\": [805, 908, 860, 942], \"label\": \"two die\"},\n {\"box_2d\": [558, 902, 622, 937], \"label\": \"one die\"},\n {\"box_2d\": [546, 847, 608, 882], \"label\": \"one die\"},\n {\"box_2d\": [433, 826, 496, 860], \"label\": \"three die\"},\n {\"box_2d\": [428, 798, 485, 829], \"label\": \"six die\"}\n]\n```", "correct": false, "input_tokens": 1252, "output_tokens": 1760, "elapsed_seconds": 19.497482209000736, "metadata": {"match_method": "map", "num_predictions": 50, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5562438368797302, "attempts": 1, "retries": 0, "total_seconds": 19.5597}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 137, "image": "Lego_170_high_jpeg.rf.173b945a080a292465fe84cab83086af.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [117, 736, 173, 830], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [119, 878, 161, 972], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [176, 813, 267, 916], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [227, 498, 329, 599], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [261, 577, 344, 652], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [336, 753, 410, 836], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [408, 770, 487, 832], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [485, 710, 581, 767], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [538, 757, 639, 825], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [587, 929, 666, 991], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [669, 782, 766, 832], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [670, 825, 740, 905], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [700, 898, 785, 960], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [736, 828, 810, 891], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [804, 815, 882, 897], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [851, 797, 929, 879], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [710, 700, 796, 778], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [116, 95, 216, 207], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [196, 86, 282, 185], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [196, 152, 269, 255], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [252, 156, 314, 265], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [365, 36, 444, 139], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [393, 102, 478, 200], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [85, 238, 152, 344], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [150, 307, 206, 393], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [332, 296, 377, 400], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [396, 378, 492, 427], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [380, 427, 451, 526], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [472, 391, 555, 481], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [473, 466, 566, 546], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [520, 257, 591, 363], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [546, 347, 625, 458], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [589, 321, 667, 431], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [617, 417, 688, 502], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [635, 103, 696, 195], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [647, 219, 744, 292], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [651, 255, 725, 345], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [696, 281, 764, 384], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [716, 424, 801, 500], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [698, 474, 756, 578], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [751, 497, 847, 567], \"label\": \"lego 4x2 brick\"}\n]\n```", "correct": true, "input_tokens": 1244, "output_tokens": 1607, "elapsed_seconds": 18.78834458300844, "metadata": {"match_method": "map", "num_predictions": 41, "num_ground_truth": 42, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9430143237113953, "attempts": 1, "retries": 0, "total_seconds": 18.8855}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 138, "image": "DJI_0290_JPG_jpg.rf.052c45a410708d5965bfee1fe9dd1918.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [489, 371, 589, 480], \"label\": \"excavator\"},\n {\"box_2d\": [288, 417, 362, 487], \"label\": \"concrete mixer\"},\n {\"box_2d\": [321, 198, 370, 245], \"label\": \"excavator\"},\n {\"box_2d\": [447, 835, 528, 932], \"label\": \"dump truck\"},\n {\"box_2d\": [200, 303, 247, 346], \"label\": \"dump truck\"},\n {\"box_2d\": [133, 220, 175, 253], \"label\": \"concrete mixer\"},\n {\"box_2d\": [59, 0, 1000, 152], \"label\": \"tower crane\"}\n]\n```", "correct": true, "input_tokens": 1209, "output_tokens": 257, "elapsed_seconds": 98.42723899998236, "metadata": {"match_method": "map", "num_predictions": 7, "num_ground_truth": 6, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.875, "attempts": 1, "retries": 0, "total_seconds": 99.6602}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 139, "image": "oil-tank-detection_oiltank_165_jpg.rf.7a5e38aa38fc11f1234038d454ec044d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [584, 15, 709, 120], \"label\": \"oil tank\"},\n {\"box_2d\": [721, 14, 853, 122], \"label\": \"oil tank\"},\n {\"box_2d\": [718, 128, 847, 237], \"label\": \"oil tank\"},\n {\"box_2d\": [579, 130, 705, 236], \"label\": \"oil tank\"},\n {\"box_2d\": [575, 245, 700, 353], \"label\": \"oil tank\"},\n {\"box_2d\": [713, 246, 845, 354], \"label\": \"oil tank\"},\n {\"box_2d\": [556, 360, 700, 480], \"label\": \"oil tank\"},\n {\"box_2d\": [710, 363, 860, 485], \"label\": \"oil tank\"},\n {\"box_2d\": [553, 487, 695, 608], \"label\": \"oil tank\"},\n {\"box_2d\": [708, 491, 857, 613], \"label\": \"oil tank\"},\n {\"box_2d\": [548, 614, 691, 736], \"label\": \"oil tank\"},\n {\"box_2d\": [702, 620, 851, 743], \"label\": \"oil tank\"},\n {\"box_2d\": [700, 750, 847, 871], \"label\": \"oil tank\"},\n {\"box_2d\": [544, 744, 686, 865], \"label\": \"oil tank\"}\n]\n```", "correct": true, "input_tokens": 1217, "output_tokens": 500, "elapsed_seconds": 18.388426209101453, "metadata": {"match_method": "map", "num_predictions": 14, "num_ground_truth": 14, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 18.464}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 140, "image": "img268_png.rf.77932c9124f7e63f288e2be4179d983b.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [77, 250, 117, 297], \"label\": \"not gate symbol\"},\n {\"box_2d\": [153, 409, 193, 456], \"label\": \"not gate symbol\"},\n {\"box_2d\": [276, 409, 316, 456], \"label\": \"not gate symbol\"},\n {\"box_2d\": [472, 567, 512, 616], \"label\": \"not gate symbol\"},\n {\"box_2d\": [546, 251, 586, 299], \"label\": \"not gate symbol\"},\n {\"box_2d\": [619, 251, 659, 299], \"label\": \"not gate symbol\"},\n {\"box_2d\": [718, 409, 757, 457], \"label\": \"not gate symbol\"},\n {\"box_2d\": [841, 409, 881, 457], \"label\": \"not gate symbol\"},\n {\"box_2d\": [32, 388, 113, 457], \"label\": \"and gate symbol\"},\n {\"box_2d\": [81, 545, 162, 616], \"label\": \"and gate symbol\"},\n {\"box_2d\": [228, 546, 309, 616], \"label\": \"and gate symbol\"},\n {\"box_2d\": [351, 545, 431, 615], \"label\": \"and gate symbol\"},\n {\"box_2d\": [400, 704, 481, 775], \"label\": \"and gate symbol\"},\n {\"box_2d\": [549, 387, 630, 458], \"label\": \"and gate symbol\"},\n {\"box_2d\": [598, 545, 680, 616], \"label\": \"and gate symbol\"},\n {\"box_2d\": [721, 545, 803, 616], \"label\": \"and gate symbol\"},\n {\"box_2d\": [845, 545, 926, 616], \"label\": \"and gate symbol\"},\n {\"box_2d\": [870, 704, 952, 775], \"label\": \"and gate symbol\"},\n {\"box_2d\": [155, 702, 236, 774], \"label\": \"or gate symbol\"},\n {\"box_2d\": [278, 860, 359, 931], \"label\": \"or gate symbol\"},\n {\"box_2d\": [647, 702, 728, 774], \"label\": \"or gate symbol\"},\n {\"box_2d\": [746, 860, 827, 932], \"label\": \"or gate symbol\"}\n]\n```", "correct": true, "input_tokens": 1231, "output_tokens": 801, "elapsed_seconds": 11.625767582911067, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 11.6417}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 141, "image": "170211-2-h_JPG_jpg.rf.4b0d2b71f289bdb00cd0502c7a7a2a5d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [248, 464, 926, 567], \"label\": \"insulator flashover\"}\n]\n```", "correct": false, "input_tokens": 1218, "output_tokens": 49, "elapsed_seconds": 90.3961472089868, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 91.0852}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 142, "image": "floorplan-windows-doors_10361_png.rf.0282a156e3e18e32c9b31eca83a8df92.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [729, 591, 792, 657], \"label\": \"door\"},\n {\"box_2d\": [613, 476, 668, 539], \"label\": \"door\"},\n {\"box_2d\": [548, 475, 603, 539], \"label\": \"door\"},\n {\"box_2d\": [482, 591, 536, 654], \"label\": \"door\"},\n {\"box_2d\": [357, 703, 412, 766], \"label\": \"door\"},\n {\"box_2d\": [548, 721, 603, 784], \"label\": \"door\"},\n {\"box_2d\": [288, 773, 344, 825], \"label\": \"door\"},\n {\"box_2d\": [154, 773, 207, 821], \"label\": \"door\"},\n {\"box_2d\": [92, 121, 152, 198], \"label\": \"door\"},\n {\"box_2d\": [868, 590, 941, 656], \"label\": \"door\"},\n {\"box_2d\": [189, 174, 286, 199], \"label\": \"window\"},\n {\"box_2d\": [313, 173, 410, 199], \"label\": \"window\"},\n {\"box_2d\": [433, 174, 535, 199], \"label\": \"window\"},\n {\"box_2d\": [637, 173, 735, 199], \"label\": \"window\"},\n {\"box_2d\": [867, 290, 889, 396], \"label\": \"window\"},\n {\"box_2d\": [867, 778, 891, 884], \"label\": \"window\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 555, "elapsed_seconds": 19.422076290939003, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 19.514}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 143, "image": "IMG_0588_jpeg.rf.ff3a785b0ac1ba5a56ab8eed6ca615a1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [35, 574, 93, 646], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [377, 483, 475, 532], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [248, 550, 313, 628], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [240, 743, 315, 818], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [440, 630, 513, 703], \"label\": \"caramel corn jelly bean\"},\n {\"box_2d\": [620, 554, 716, 601], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [631, 735, 735, 783], \"label\": \"mixed berry smoothie jelly bean\"}\n]\n```", "correct": true, "input_tokens": 1219, "output_tokens": 274, "elapsed_seconds": 29.385058208950795, "metadata": {"match_method": "map", "num_predictions": 7, "num_ground_truth": 7, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 29.4329}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 144, "image": "signatures_image_100_png_jpg.rf.1b732e075f2453b4400e76d3923fe526.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [322, 72, 396, 434], \"label\": \"signature\"},\n {\"box_2d\": [345, 526, 390, 891], \"label\": \"signature\"},\n {\"box_2d\": [464, 128, 543, 449], \"label\": \"signature\"},\n {\"box_2d\": [450, 555, 517, 821], \"label\": \"signature\"},\n {\"box_2d\": [586, 108, 639, 427], \"label\": \"signature\"}\n]\n```", "correct": true, "input_tokens": 1200, "output_tokens": 181, "elapsed_seconds": 6.916784542030655, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 6.9295}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 145, "image": "paper-parts_8548_70_jpg.rf.61a39e9181e5ebef57cae728c932b730.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [97, 200, 396, 825], \"label\": \"figure\"},\n {\"box_2d\": [397, 118, 430, 882], \"label\": \"figure caption\"},\n {\"box_2d\": [482, 118, 512, 882], \"label\": \"table caption\"},\n {\"box_2d\": [529, 107, 583, 892], \"label\": \"table\"},\n {\"box_2d\": [633, 118, 654, 312], \"label\": \"subsection\"},\n {\"box_2d\": [674, 118, 723, 882], \"label\": \"paragraph\"},\n {\"box_2d\": [740, 305, 761, 882], \"label\": \"equation\"},\n {\"box_2d\": [779, 118, 881, 882], \"label\": \"paragraph\"},\n {\"box_2d\": [901, 490, 913, 509], \"label\": \"page number\"}\n]\n```", "correct": true, "input_tokens": 1255, "output_tokens": 320, "elapsed_seconds": 6.438441791920923, "metadata": {"match_method": "map", "num_predictions": 9, "num_ground_truth": 9, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8749998807907104, "attempts": 1, "retries": 0, "total_seconds": 6.4962}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 146, "image": "19_jpeg_jpg.rf.34c89435b5ff9122cacb0cab18a49f99.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [32, 18, 127, 105], \"label\": \"potato\"},\n {\"box_2d\": [8, 331, 95, 429], \"label\": \"potato\"},\n {\"box_2d\": [21, 782, 131, 895], \"label\": \"potato\"},\n {\"box_2d\": [218, 790, 322, 902], \"label\": \"potato\"},\n {\"box_2d\": [195, 548, 307, 666], \"label\": \"potato\"},\n {\"box_2d\": [188, 396, 294, 478], \"label\": \"potato\"},\n {\"box_2d\": [182, 277, 295, 356], \"label\": \"potato\"},\n {\"box_2d\": [222, 0, 314, 83], \"label\": \"potato\"},\n {\"box_2d\": [400, 64, 500, 152], \"label\": \"potato\"},\n {\"box_2d\": [402, 327, 506, 414], \"label\": \"potato\"},\n {\"box_2d\": [396, 488, 513, 568], \"label\": \"potato\"},\n {\"box_2d\": [396, 709, 527, 794], \"label\": \"potato\"},\n {\"box_2d\": [610, 779, 712, 865], \"label\": \"potato\"},\n {\"box_2d\": [602, 57, 710, 177], \"label\": \"potato\"},\n {\"box_2d\": [790, 34, 900, 143], \"label\": \"potato\"},\n {\"box_2d\": [828, 486, 932, 581], \"label\": \"potato\"},\n {\"box_2d\": [845, 934, 953, 999], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1240, "output_tokens": 578, "elapsed_seconds": 7.132003334001638, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 18, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9405940771102905, "attempts": 1, "retries": 0, "total_seconds": 7.1728}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 147, "image": "f12_jpg.rf.fa104f4d104f326761c5485949eec7bb.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [718, 93, 932, 419], \"label\": \"wildfire\"},\n {\"box_2d\": [0, 57, 610, 381], \"label\": \"wildfire\"},\n {\"box_2d\": [0, 597, 558, 830], \"label\": \"wildfire\"},\n {\"box_2d\": [489, 89, 931, 419], \"label\": \"wildfire\"},\n {\"box_2d\": [324, 239, 610, 381], \"label\": \"wildfire\"},\n {\"box_2d\": [315, 597, 558, 795], \"label\": \"wildfire\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 215, "elapsed_seconds": 22.122368000098504, "metadata": {"match_method": "map", "num_predictions": 6, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6683167815208435, "attempts": 1, "retries": 0, "total_seconds": 22.2461}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 148, "image": "f36_jpg.rf.8c77ed13627d4f4c8abf32c1c7573442.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [199, 709, 412, 777], \"label\": \"wildfire\"},\n {\"box_2d\": [75, 651, 134, 670], \"label\": \"wildfire\"},\n {\"box_2d\": [468, 211, 587, 276], \"label\": \"wildfire\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 116, "elapsed_seconds": 135.61866045801435, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7524752616882324, "attempts": 1, "retries": 0, "total_seconds": 135.739}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 149, "image": "46_jpg.rf.ed53b85cf8112394121da4a88ce9efc4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [572, 150, 725, 213], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [529, 300, 651, 323], \"label\": \"resistor symbol\"},\n {\"box_2d\": [376, 376, 428, 444], \"label\": \"resistor symbol\"},\n {\"box_2d\": [170, 471, 302, 531], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [377, 560, 439, 639], \"label\": \"resistor symbol\"},\n {\"box_2d\": [572, 464, 718, 520], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [529, 670, 691, 695], \"label\": \"resistor symbol\"},\n {\"box_2d\": [603, 808, 727, 860], \"label\": \"dc current source symbol\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 304, "elapsed_seconds": 11.07940279203467, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 11.1799}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 150, "image": "Lego_131_low_jpeg.rf.be14ef4b77b52f77c1ed45c59ee5b3a4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [746, 597, 832, 678], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [815, 731, 880, 825], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [756, 788, 860, 882], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [687, 916, 784, 999], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [788, 425, 866, 515], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [680, 440, 766, 526], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [715, 388, 793, 469], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [813, 261, 906, 372], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [657, 343, 718, 450], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [596, 368, 662, 458], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [696, 171, 765, 277], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [636, 191, 704, 297], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [514, 161, 598, 262], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [518, 330, 598, 405], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [437, 281, 537, 357], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [372, 268, 468, 332], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [247, 229, 336, 317], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [226, 309, 306, 425], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [188, 33, 288, 150], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [144, 146, 219, 253], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [125, 275, 211, 391], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [41, 439, 137, 550], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [64, 617, 154, 694], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [150, 622, 236, 694], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [0, 730, 69, 795], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [274, 507, 353, 598], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [250, 652, 324, 746], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [352, 684, 449, 745], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [373, 728, 476, 807], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [468, 746, 569, 833], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [441, 800, 541, 891], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [533, 818, 601, 896], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [457, 947, 545, 999], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [182, 930, 286, 985], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [449, 527, 494, 628], \"label\": \"lego 4x1 brick\"}\n]\n```", "correct": true, "input_tokens": 1244, "output_tokens": 1371, "elapsed_seconds": 30.60079883306753, "metadata": {"match_method": "map", "num_predictions": 35, "num_ground_truth": 35, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8630362749099731, "attempts": 1, "retries": 0, "total_seconds": 30.6879}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 151, "image": "IMG_6677_jpeg_jpg.rf.66bd4292eb85ae8da61a8cef3e3384f8.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [368, 290, 454, 488], \"label\": \"orange poker chip\"},\n {\"box_2d\": [417, 296, 473, 490], \"label\": \"orange poker chip\"},\n {\"box_2d\": [436, 298, 493, 488], \"label\": \"orange poker chip\"},\n {\"box_2d\": [454, 296, 511, 490], \"label\": \"orange poker chip\"},\n {\"box_2d\": [468, 298, 526, 488], \"label\": \"orange poker chip\"},\n {\"box_2d\": [489, 296, 543, 481], \"label\": \"orange poker chip\"},\n {\"box_2d\": [504, 298, 560, 484], \"label\": \"orange poker chip\"},\n {\"box_2d\": [520, 298, 576, 482], \"label\": \"orange poker chip\"},\n {\"box_2d\": [529, 299, 591, 482], \"label\": \"orange poker chip\"},\n {\"box_2d\": [529, 315, 607, 491], \"label\": \"orange poker chip\"},\n {\"box_2d\": [461, 531, 560, 719], \"label\": \"orange poker chip\"},\n {\"box_2d\": [498, 524, 581, 708], \"label\": \"orange poker chip\"},\n {\"box_2d\": [529, 522, 613, 713], \"label\": \"orange poker chip\"},\n {\"box_2d\": [448, 707, 540, 899], \"label\": \"green poker chip\"},\n {\"box_2d\": [498, 717, 569, 920], \"label\": \"green poker chip\"},\n {\"box_2d\": [518, 722, 580, 914], \"label\": \"green poker chip\"},\n {\"box_2d\": [533, 731, 601, 932], \"label\": \"green poker chip\"},\n {\"box_2d\": [373, 30, 461, 241], \"label\": \"green poker chip\"},\n {\"box_2d\": [401, 52, 476, 253], \"label\": \"green poker chip\"},\n {\"box_2d\": [417, 54, 493, 259], \"label\": \"green poker chip\"},\n {\"box_2d\": [454, 52, 507, 251], \"label\": \"green poker chip\"},\n {\"box_2d\": [465, 52, 523, 250], \"label\": \"green poker chip\"},\n {\"box_2d\": [473, 52, 539, 254], \"label\": \"green poker chip\"},\n {\"box_2d\": [493, 55, 557, 251], \"label\": \"green poker chip\"},\n {\"box_2d\": [514, 55, 575, 253], \"label\": \"green poker chip\"},\n {\"box_2d\": [535, 58, 591, 247], \"label\": \"green poker chip\"},\n {\"box_2d\": [545, 52, 608, 246], \"label\": \"green poker chip\"}\n]\n```", "correct": true, "input_tokens": 1231, "output_tokens": 974, "elapsed_seconds": 12.111913125030696, "metadata": {"match_method": "map", "num_predictions": 27, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9699434041976929, "attempts": 1, "retries": 0, "total_seconds": 12.138}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 152, "image": "indir-1-_jpeg_jpg.rf.8d614705afcf35f2ac222aa7d9e608ff.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [779, 701, 785, 718], \"label\": \"dimension annotation\"},\n {\"box_2d\": [739, 735, 745, 751], \"label\": \"dimension annotation\"},\n {\"box_2d\": [768, 784, 782, 800], \"label\": \"dimension annotation\"},\n {\"box_2d\": [802, 736, 820, 752], \"label\": \"dimension annotation\"},\n {\"box_2d\": [447, 687, 467, 720], \"label\": \"dimension annotation\"},\n {\"box_2d\": [767, 622, 781, 665], \"label\": \"dimension annotation\"},\n {\"box_2d\": [850, 689, 864, 749], \"label\": \"dimension annotation\"},\n {\"box_2d\": [632, 715, 653, 749], \"label\": \"dimension annotation\"},\n {\"box_2d\": [849, 377, 863, 420], \"label\": \"dimension annotation\"},\n {\"box_2d\": [624, 159, 641, 183], \"label\": \"dimension annotation\"},\n {\"box_2d\": [429, 162, 454, 199], \"label\": \"dimension annotation\"},\n {\"box_2d\": [682, 417, 694, 454], \"label\": \"dimension annotation\"},\n {\"box_2d\": [750, 204, 767, 228], \"label\": \"dimension annotation\"},\n {\"box_2d\": [762, 147, 779, 171], \"label\": \"dimension annotation\"},\n {\"box_2d\": [17, 22, 49, 311], \"label\": \"technical drawing table\"},\n {\"box_2d\": [17, 904, 48, 976], \"label\": \"technical drawing table\"},\n {\"box_2d\": [914, 207, 984, 976], \"label\": \"technical drawing table\"}\n]\n```", "correct": false, "input_tokens": 1233, "output_tokens": 605, "elapsed_seconds": 8.632153499987908, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.47395095229148865, "attempts": 1, "retries": 0, "total_seconds": 8.648}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 153, "image": "1217_4_jpg.rf.834d702ab7cd425111d5c60612f66627.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [7, 36, 107, 130], \"label\": \"black rook\"},\n {\"box_2d\": [26, 134, 119, 240], \"label\": \"black knight\"},\n {\"box_2d\": [17, 286, 117, 374], \"label\": \"black bishop\"},\n {\"box_2d\": [0, 405, 121, 492], \"label\": \"black king\"},\n {\"box_2d\": [0, 526, 121, 612], \"label\": \"black queen\"},\n {\"box_2d\": [26, 656, 129, 745], \"label\": \"black bishop\"},\n {\"box_2d\": [6, 769, 112, 879], \"label\": \"black knight\"},\n {\"box_2d\": [16, 899, 115, 1000], \"label\": \"black rook\"},\n {\"box_2d\": [162, 35, 234, 112], \"label\": \"black pawn\"},\n {\"box_2d\": [163, 182, 234, 251], \"label\": \"black pawn\"},\n {\"box_2d\": [159, 286, 231, 356], \"label\": \"black pawn\"},\n {\"box_2d\": [173, 412, 244, 482], \"label\": \"black pawn\"},\n {\"box_2d\": [169, 545, 242, 616], \"label\": \"black pawn\"},\n {\"box_2d\": [166, 652, 237, 722], \"label\": \"black pawn\"},\n {\"box_2d\": [162, 764, 235, 835], \"label\": \"black pawn\"},\n {\"box_2d\": [151, 891, 223, 972], \"label\": \"black pawn\"},\n {\"box_2d\": [771, 18, 843, 96], \"label\": \"white pawn\"},\n {\"box_2d\": [773, 159, 845, 230], \"label\": \"white pawn\"},\n {\"box_2d\": [765, 278, 837, 350], \"label\": \"white pawn\"},\n {\"box_2d\": [770, 396, 842, 468], \"label\": \"white pawn\"},\n {\"box_2d\": [759, 499, 832, 570], \"label\": \"white pawn\"},\n {\"box_2d\": [772, 651, 845, 722], \"label\": \"white pawn\"},\n {\"box_2d\": [757, 773, 829, 847], \"label\": \"white pawn\"},\n {\"box_2d\": [756, 877, 828, 956], \"label\": \"white pawn\"},\n {\"box_2d\": [881, 12, 980, 108], \"label\": \"white rook\"},\n {\"box_2d\": [890, 122, 987, 234], \"label\": \"white knight\"},\n {\"box_2d\": [887, 276, 991, 366], \"label\": \"white bishop\"},\n {\"box_2d\": [870, 389, 995, 478], \"label\": \"white king\"},\n {\"box_2d\": [878, 515, 999, 601], \"label\": \"white queen\"},\n {\"box_2d\": [873, 634, 975, 724], \"label\": \"white bishop\"},\n {\"box_2d\": [891, 764, 985, 865], \"label\": \"white knight\"},\n {\"box_2d\": [876, 887, 975, 990], \"label\": \"white rook\"}\n]\n```", "correct": true, "input_tokens": 1259, "output_tokens": 1116, "elapsed_seconds": 17.197045500040986, "metadata": {"match_method": "map", "num_predictions": 32, "num_ground_truth": 32, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 17.4705}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 154, "image": "123_jpg.rf.dd57cefde1b1d657a6704903a0c29594.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [171, 324, 199, 377], \"label\": \"resistor symbol\"},\n {\"box_2d\": [273, 208, 349, 245], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [266, 440, 337, 474], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [163, 622, 189, 686], \"label\": \"resistor symbol\"},\n {\"box_2d\": [229, 804, 323, 848], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [456, 326, 487, 376], \"label\": \"resistor symbol\"},\n {\"box_2d\": [447, 655, 480, 703], \"label\": \"resistor symbol\"},\n {\"box_2d\": [612, 217, 683, 236], \"label\": \"resistor symbol\"},\n {\"box_2d\": [639, 447, 720, 493], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [596, 833, 665, 850], \"label\": \"resistor symbol\"},\n {\"box_2d\": [820, 313, 903, 359], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [829, 620, 859, 678], \"label\": \"resistor symbol\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 449, "elapsed_seconds": 6.627432292094454, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 6.6395}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 155, "image": "Container_799_jpg.rf.18c1df3db98a6063d7285fb7c0ffd780.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [227, 805, 260, 945], \"label\": \"shipping container number\"},\n {\"box_2d\": [273, 865, 303, 902], \"label\": \"container ISO type code\"},\n {\"box_2d\": [139, 354, 285, 365], \"label\": \"container ISO type code\"},\n {\"box_2d\": [148, 309, 566, 326], \"label\": \"shipping container number\"}\n]\n```", "correct": false, "input_tokens": 1232, "output_tokens": 158, "elapsed_seconds": 4.457070333068259, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7524752020835876, "attempts": 1, "retries": 0, "total_seconds": 4.4759}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 156, "image": "08fd33_0_1_png_jpg.rf.49b1ec7a3f580266e0267dce06883980.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [662, 633, 720, 648], \"label\": \"referee\"},\n {\"box_2d\": [712, 538, 777, 553], \"label\": \"referee\"},\n {\"box_2d\": [461, 148, 502, 158], \"label\": \"goalkeeper\"},\n {\"box_2d\": [416, 250, 451, 259], \"label\": \"player\"},\n {\"box_2d\": [478, 431, 526, 443], \"label\": \"player\"},\n {\"box_2d\": [526, 408, 562, 421], \"label\": \"player\"},\n {\"box_2d\": [612, 429, 661, 442], \"label\": \"player\"},\n {\"box_2d\": [437, 491, 480, 503], \"label\": \"player\"},\n {\"box_2d\": [397, 509, 432, 519], \"label\": \"player\"},\n {\"box_2d\": [375, 490, 412, 499], \"label\": \"referee\"},\n {\"box_2d\": [371, 532, 404, 541], \"label\": \"player\"},\n {\"box_2d\": [341, 438, 369, 449], \"label\": \"player\"},\n {\"box_2d\": [352, 628, 386, 637], \"label\": \"player\"},\n {\"box_2d\": [369, 631, 405, 640], \"label\": \"player\"},\n {\"box_2d\": [398, 606, 436, 616], \"label\": \"player\"},\n {\"box_2d\": [415, 623, 455, 635], \"label\": \"player\"},\n {\"box_2d\": [416, 646, 455, 657], \"label\": \"player\"},\n {\"box_2d\": [387, 659, 424, 670], \"label\": \"player\"},\n {\"box_2d\": [447, 616, 493, 625], \"label\": \"player\"},\n {\"box_2d\": [502, 626, 547, 638], \"label\": \"player\"},\n {\"box_2d\": [463, 706, 508, 720], \"label\": \"player\"},\n {\"box_2d\": [599, 680, 650, 694], \"label\": \"player\"},\n {\"box_2d\": [572, 773, 616, 787], \"label\": \"player\"},\n {\"box_2d\": [629, 837, 682, 851], \"label\": \"player\"},\n {\"box_2d\": [644, 825, 702, 843], \"label\": \"referee\"},\n {\"box_2d\": [401, 905, 441, 918], \"label\": \"goalkeeper\"},\n {\"box_2d\": [301, 326, 326, 335], \"label\": \"referee\"},\n {\"box_2d\": [607, 340, 619, 346], \"label\": \"football\"},\n {\"box_2d\": [662, 387, 726, 402], \"label\": \"referee\"}\n]\n```", "correct": true, "input_tokens": 1242, "output_tokens": 1006, "elapsed_seconds": 14.770954749896191, "metadata": {"match_method": "map", "num_predictions": 29, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8999999761581421, "attempts": 1, "retries": 0, "total_seconds": 14.8968}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 157, "image": "Lego_122_low_jpeg.rf.ea0402c215977271fc16971fe6cad37a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [779, 875, 862, 932], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [750, 550, 826, 608], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [708, 452, 795, 537], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [708, 389, 813, 479], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [626, 403, 710, 479], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [600, 914, 675, 964], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [678, 827, 764, 931], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [691, 782, 784, 850], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [637, 741, 709, 842], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [608, 688, 690, 741], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [553, 628, 626, 712], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [552, 537, 640, 625], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [326, 940, 425, 1000], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [333, 749, 437, 828], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [373, 680, 461, 764], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [96, 833, 198, 936], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [60, 777, 155, 860], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [100, 651, 211, 748], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [214, 593, 314, 649], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [188, 466, 286, 575], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [338, 472, 444, 554], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [138, 364, 246, 442], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [268, 316, 355, 408], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [349, 321, 444, 383], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [77, 193, 155, 310], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [340, 183, 437, 261], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [378, 56, 460, 160], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [508, 134, 597, 253], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [784, 187, 870, 286], \"label\": \"lego 4x1 brick\"}\n]\n```", "correct": true, "input_tokens": 1244, "output_tokens": 1140, "elapsed_seconds": 41.60398541693576, "metadata": {"match_method": "map", "num_predictions": 29, "num_ground_truth": 30, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9669967293739319, "attempts": 1, "retries": 0, "total_seconds": 41.6876}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 158, "image": "20230220_110126_jpg.rf.9dd19de1f35f973245770a80a67f5a86.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [468, 37, 493, 134], \"label\": \"crack\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 45, "elapsed_seconds": 9.99669850000646, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 10.0173}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 159, "image": "20230224_102553_jpg.rf.405f8900643fe92cf5dde61e03ca7cd9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [598, 816, 703, 914], \"label\": \"crack\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 46, "elapsed_seconds": 20.746493082959205, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 20.7682}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 160, "image": "40_jpg.rf.9c5565949caf7c10eef3c765c461dcc3.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [392, 371, 567, 597], \"label\": \"blood sample tube\"},\n {\"box_2d\": [264, 767, 558, 926], \"label\": \"blood sample tube\"},\n {\"box_2d\": [384, 553, 503, 796], \"label\": \"blood sample tube\"},\n {\"box_2d\": [195, 586, 431, 789], \"label\": \"blood sample tube\"},\n {\"box_2d\": [136, 533, 444, 666], \"label\": \"blood sample tube\"},\n {\"box_2d\": [144, 476, 469, 532], \"label\": \"blood sample tube\"},\n {\"box_2d\": [34, 316, 159, 549], \"label\": \"blood sample tube\"},\n {\"box_2d\": [26, 502, 95, 742], \"label\": \"blood sample tube\"},\n {\"box_2d\": [82, 591, 161, 843], \"label\": \"blood sample tube\"},\n {\"box_2d\": [70, 839, 403, 894], \"label\": \"blood sample tube\"},\n {\"box_2d\": [142, 886, 474, 935], \"label\": \"blood sample tube\"},\n {\"box_2d\": [425, 594, 549, 839], \"label\": \"blood sample tube\"},\n {\"box_2d\": [512, 690, 652, 943], \"label\": \"blood sample tube\"},\n {\"box_2d\": [558, 664, 707, 910], \"label\": \"blood sample tube\"},\n {\"box_2d\": [596, 613, 736, 856], \"label\": \"blood sample tube\"},\n {\"box_2d\": [612, 480, 731, 730], \"label\": \"blood sample tube\"},\n {\"box_2d\": [673, 492, 741, 738], \"label\": \"blood sample tube\"},\n {\"box_2d\": [35, 164, 357, 217], \"label\": \"blood sample tube\"},\n {\"box_2d\": [204, 167, 519, 265], \"label\": \"blood sample tube\"},\n {\"box_2d\": [151, 258, 465, 336], \"label\": \"blood sample tube\"},\n {\"box_2d\": [384, 154, 695, 275], \"label\": \"blood sample tube\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 762, "elapsed_seconds": 11.949356207973324, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 21, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 11.9807}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 161, "image": "car-part-detection_Car-damages-765_png_jpg.rf.98f80e9f33638af692acb0b18adddcfd.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [504, 505, 632, 742], \"label\": \"headlight\"},\n {\"box_2d\": [298, 212, 353, 307], \"label\": \"mirror\"},\n {\"box_2d\": [132, 293, 344, 675], \"label\": \"windshield\"},\n {\"box_2d\": [251, 389, 551, 907], \"label\": \"hood\"},\n {\"box_2d\": [149, 212, 326, 314], \"label\": \"front window\"},\n {\"box_2d\": [142, 132, 290, 212], \"label\": \"back window\"},\n {\"box_2d\": [140, 128, 518, 212], \"label\": \"back door\"},\n {\"box_2d\": [140, 198, 616, 333], \"label\": \"front door\"},\n {\"box_2d\": [637, 463, 898, 921], \"label\": \"front bumper\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 325, "elapsed_seconds": 22.170918375020847, "metadata": {"match_method": "map", "num_predictions": 9, "num_ground_truth": 13, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6822681427001953, "attempts": 1, "retries": 0, "total_seconds": 22.1874}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 162, "image": "frame_0089_jpg.rf.c7cd5f3b9d3ee6d5f30b8357b148d8d4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [238, 325, 280, 350], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [248, 382, 293, 409], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [258, 442, 303, 469], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [280, 502, 326, 529], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [336, 314, 383, 339], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [351, 371, 399, 398], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [363, 431, 411, 459], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [383, 493, 433, 520], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [443, 306, 493, 332], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [461, 365, 512, 392], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [474, 425, 524, 454], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [496, 488, 546, 517], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [918, 293, 967, 317], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [928, 353, 980, 381], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [942, 415, 992, 444], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [948, 480, 998, 509], \"label\": \"soda bottle cap\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 588, "elapsed_seconds": 69.02799162501469, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 69.5886}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 163, "image": "IMG_5103_JPG.rf.05aa0caa3f6431dd232e7223cc79a35a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [592, 272, 654, 300], \"label\": \"face\"},\n {\"box_2d\": [639, 323, 688, 353], \"label\": \"face\"},\n {\"box_2d\": [686, 401, 743, 439], \"label\": \"face\"},\n {\"box_2d\": [368, 404, 396, 417], \"label\": \"face\"},\n {\"box_2d\": [361, 386, 386, 399], \"label\": \"face\"},\n {\"box_2d\": [356, 352, 381, 366], \"label\": \"face\"},\n {\"box_2d\": [417, 540, 444, 554], \"label\": \"face\"},\n {\"box_2d\": [425, 574, 452, 589], \"label\": \"face\"},\n {\"box_2d\": [438, 619, 469, 634], \"label\": \"face\"},\n {\"box_2d\": [397, 605, 421, 618], \"label\": \"face\"},\n {\"box_2d\": [390, 560, 416, 574], \"label\": \"face\"},\n {\"box_2d\": [418, 646, 444, 659], \"label\": \"face\"},\n {\"box_2d\": [427, 689, 453, 701], \"label\": \"face\"},\n {\"box_2d\": [435, 715, 460, 728], \"label\": \"face\"},\n {\"box_2d\": [381, 667, 407, 678], \"label\": \"face\"},\n {\"box_2d\": [373, 628, 395, 640], \"label\": \"face\"},\n {\"box_2d\": [371, 603, 394, 614], \"label\": \"face\"},\n {\"box_2d\": [456, 771, 484, 785], \"label\": \"face\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 624, "elapsed_seconds": 71.03878225001972, "metadata": {"match_method": "map", "num_predictions": 18, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3344334363937378, "attempts": 1, "retries": 0, "total_seconds": 71.5369}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 164, "image": "fall-detection_camerathree-second_mp4-114_jpg.rf.8d4ab219233d1b243e3602fc397d1bfa.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [581, 358, 678, 588], \"label\": \"fallen person\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 47, "elapsed_seconds": 5.703726209001616, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 5.7212}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 165, "image": "lot301_JPEG_jpg.rf.190ac2533508d09b091e542956d526a5.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [588, 469, 619, 505], \"label\": \"chicory seed\"},\n {\"box_2d\": [537, 514, 567, 557], \"label\": \"chicory seed\"},\n {\"box_2d\": [465, 467, 495, 504], \"label\": \"chicory seed\"},\n {\"box_2d\": [413, 434, 453, 458], \"label\": \"chicory seed\"},\n {\"box_2d\": [341, 427, 376, 463], \"label\": \"chicory seed\"},\n {\"box_2d\": [377, 376, 417, 396], \"label\": \"chicory seed\"},\n {\"box_2d\": [378, 336, 400, 376], \"label\": \"chicory seed\"},\n {\"box_2d\": [331, 350, 362, 386], \"label\": \"chicory seed\"},\n {\"box_2d\": [425, 469, 449, 508], \"label\": \"chicory seed\"},\n {\"box_2d\": [380, 491, 419, 516], \"label\": \"chicory seed\"},\n {\"box_2d\": [381, 510, 420, 537], \"label\": \"chicory seed\"},\n {\"box_2d\": [411, 533, 433, 574], \"label\": \"chicory seed\"},\n {\"box_2d\": [412, 575, 442, 611], \"label\": \"chicory seed\"},\n {\"box_2d\": [451, 500, 483, 535], \"label\": \"chicory seed\"},\n {\"box_2d\": [478, 524, 504, 566], \"label\": \"chicory seed\"},\n {\"box_2d\": [454, 531, 481, 570], \"label\": \"chicory seed\"},\n {\"box_2d\": [437, 545, 465, 583], \"label\": \"chicory seed\"},\n {\"box_2d\": [471, 566, 501, 603], \"label\": \"chicory seed\"},\n {\"box_2d\": [489, 591, 511, 631], \"label\": \"chicory seed\"},\n {\"box_2d\": [461, 600, 493, 634], \"label\": \"chicory seed\"},\n {\"box_2d\": [506, 608, 529, 650], \"label\": \"chicory seed\"},\n {\"box_2d\": [531, 591, 551, 631], \"label\": \"chicory seed\"},\n {\"box_2d\": [559, 540, 592, 573], \"label\": \"chicory seed\"},\n {\"box_2d\": [572, 572, 601, 610], \"label\": \"chicory seed\"},\n {\"box_2d\": [595, 554, 621, 598], \"label\": \"chicory seed\"},\n {\"box_2d\": [615, 554, 639, 594], \"label\": \"chicory seed\"},\n {\"box_2d\": [635, 523, 661, 565], \"label\": \"chicory seed\"},\n {\"box_2d\": [660, 516, 687, 556], \"label\": \"chicory seed\"},\n {\"box_2d\": [672, 456, 694, 499], \"label\": \"chicory seed\"},\n {\"box_2d\": [674, 409, 697, 450], \"label\": \"chicory seed\"},\n {\"box_2d\": [588, 412, 619, 449], \"label\": \"chicory seed\"},\n {\"box_2d\": [566, 400, 606, 427], \"label\": \"chicory seed\"},\n {\"box_2d\": [537, 389, 569, 428], \"label\": \"chicory seed\"},\n {\"box_2d\": [517, 388, 542, 428], \"label\": \"chicory seed\"},\n {\"box_2d\": [474, 410, 515, 433], \"label\": \"chicory seed\"},\n {\"box_2d\": [460, 423, 502, 451], \"label\": \"chicory seed\"},\n {\"box_2d\": [451, 380, 476, 423], \"label\": \"chicory seed\"},\n {\"box_2d\": [417, 396, 444, 433], \"label\": \"chicory seed\"},\n {\"box_2d\": [437, 360, 466, 401], \"label\": \"chicory seed\"},\n {\"box_2d\": [469, 367, 508, 397], \"label\": \"chicory seed\"},\n {\"box_2d\": [508, 361, 535, 401], \"label\": \"chicory seed\"},\n {\"box_2d\": [508, 338, 545, 360], \"label\": \"chicory seed\"},\n {\"box_2d\": [512, 297, 548, 334], \"label\": \"chicory seed\"},\n {\"box_2d\": [489, 315, 510, 355], \"label\": \"chicory seed\"},\n {\"box_2d\": [445, 320, 487, 354], \"label\": \"chicory seed\"},\n {\"box_2d\": [457, 294, 502, 320], \"label\": \"chicory seed\"},\n {\"box_2d\": [485, 280, 526, 307], \"label\": \"chicory seed\"},\n {\"box_2d\": [416, 331, 437, 370], \"label\": \"chicory seed\"},\n {\"box_2d\": [393, 304, 430, 337], \"label\": \"chicory seed\"},\n {\"box_2d\": [422, 285, 453, 324], \"label\": \"chicory seed\"},\n {\"box_2d\": [368, 285, 400, 321], \"label\": \"chicory seed\"},\n {\"box_2d\": [355, 258, 384, 299], \"label\": \"chicory seed\"},\n {\"box_2d\": [336, 272, 356, 312], \"label\": \"chicory seed\"},\n {\"box_2d\": [319, 337, 342, 378], \"label\": \"chicory seed\"},\n {\"box_2d\": [283, 339, 321, 362], \"label\": \"chicory seed\"},\n {\"box_2d\": [278, 362, 320, 384], \"label\": \"chicory seed\"},\n {\"box_2d\": [285, 380, 329, 402], \"label\": \"chicory seed\"},\n {\"box_2d\": [307, 408, 333, 449], \"label\": \"chicory seed\"},\n {\"box_2d\": [283, 404, 314, 446], \"label\": \"chicory seed\"},\n {\"box_2d\": [269, 389, 298, 427], \"label\": \"chicory seed\"},\n {\"box_2d\": [267, 447, 306, 469], \"label\": \"chicory seed\"},\n {\"box_2d\": [304, 450, 329, 491], \"label\": \"chicory seed\"},\n {\"box_2d\": [332, 460, 358, 502], \"label\": \"chicory seed\"},\n {\"box_2d\": [354, 465, 391, 499], \"label\": \"chicory seed\"},\n {\"box_2d\": [337, 513, 378, 535], \"label\": \"chicory seed\"},\n {\"box_2d\": [347, 535, 369, 577], \"label\": \"chicory seed\"},\n {\"box_2d\": [317, 513, 340, 555], \"label\": \"chicory seed\"},\n {\"box_2d\": [303, 495, 326, 537], \"label\": \"chicory seed\"},\n {\"box_2d\": [280, 470, 304, 504], \"label\": \"chicory seed\"},\n {\"box_2d\": [271, 507, 305, 545], \"label\": \"chicory seed\"},\n {\"box_2d\": [283, 540, 320, 568], \"label\": \"chicory seed\"},\n {\"box_2d\": [304, 563, 345, 586], \"label\": \"chicory seed\"},\n {\"box_2d\": [336, 579, 365, 619], \"label\": \"chicory seed\"},\n {\"box_2d\": [359, 591, 381, 631], \"label\": \"chicory seed\"},\n {\"box_2d\": [377, 595, 408, 632], \"label\": \"chicory seed\"},\n {\"box_2d\": [311, 586, 339, 623], \"label\": \"chicory seed\"},\n {\"box_2d\": [319, 619, 362, 646], \"label\": \"chicory seed\"},\n {\"box_2d\": [354, 638, 377, 675], \"label\": \"chicory seed\"},\n {\"box_2d\": [380, 645, 402, 686], \"label\": \"chicory seed\"},\n {\"box_2d\": [414, 639, 439, 683], \"label\": \"chicory seed\"},\n {\"box_2d\": [430, 622, 469, 657], \"label\": \"chicory seed\"},\n {\"box_2d\": [437, 643, 472, 672], \"label\": \"chicory seed\"},\n {\"box_2d\": [468, 634, 498, 675], \"label\": \"chicory seed\"},\n {\"box_2d\": [443, 672, 487, 694], \"label\": \"chicory seed\"},\n {\"box_2d\": [458, 691, 496, 715], \"label\": \"chicory seed\"},\n {\"box_2d\": [498, 673, 541, 699], \"label\": \"chicory seed\"},\n {\"box_2d\": [513, 659, 550, 683], \"label\": \"chicory seed\"},\n {\"box_2d\": [549, 653, 585, 677], \"label\": \"chicory seed\"},\n {\"box_2d\": [553, 614, 580, 652], \"label\": \"chicory seed\"},\n {\"box_2d\": [551, 589, 584, 623], \"label\": \"chicory seed\"},\n {\"box_2d\": [575, 621, 613, 648], \"label\": \"chicory seed\"},\n {\"box_2d\": [591, 594, 632, 625], \"label\": \"chicory seed\"},\n {\"box_2d\": [588, 649, 612, 692], \"label\": \"chicory seed\"},\n {\"box_2d\": [610, 637, 652, 663], \"label\": \"chicory seed\"},\n {\"box_2d\": [619, 603, 649, 643], \"label\": \"chicory seed\"},\n {\"box_2d\": [638, 574, 663, 614], \"label\": \"chicory seed\"},\n {\"box_2d\": [641, 611, 668, 647], \"label\": \"chicory seed\"},\n {\"box_2d\": [659, 557, 693, 591], \"label\": \"chicory seed\"},\n {\"box_2d\": [666, 586, 706, 614], \"label\": \"chicory seed\"},\n {\"box_2d\": [694, 567, 728, 596], \"label\": \"chicory seed\"},\n {\"box_2d\": [689, 595, 718, 637], \"label\": \"chicory seed\"},\n {\"box_2d\": [668, 616, 690, 658], \"label\": \"chicory seed\"},\n {\"box_2d\": [657, 639, 684, 680], \"label\": \"chicory seed\"},\n {\"box_2d\": [613, 670, 656, 693], \"label\": \"chicory seed\"},\n {\"box_2d\": [592, 691, 623, 726], \"label\": \"chicory seed\"},\n {\"box_2d\": [597, 727, 622, 769], \"label\": \"chicory seed\"},\n {\"box_2d\": [553, 725, 593, 757], \"label\": \"chicory seed\"},\n {\"box_2d\": [512, 705, 545, 738], \"label\": \"chicory seed\"},\n {\"box_2d\": [491, 707, 520, 745], \"label\": \"chicory seed\"},\n {\"box_2d\": [461, 720, 496, 751], \"label\": \"chicory seed\"},\n {\"box_2d\": [428, 690, 451, 730], \"label\": \"chicory seed\"},\n {\"box_2d\": [387, 688, 430, 710], \"label\": \"chicory seed\"},\n {\"box_2d\": [395, 709, 432, 731], \"label\": \"chicory seed\"},\n {\"box_2d\": [365, 718, 405, 749], \"label\": \"chicory seed\"},\n {\"box_2d\": [341, 692, 378, 726], \"label\": \"chicory seed\"},\n {\"box_2d\": [315, 655, 354, 687], \"label\": \"chicory seed\"},\n {\"box_2d\": [295, 617, 318, 659], \"label\": \"chicory seed\"},\n {\"box_2d\": [275, 597, 309, 634], \"label\": \"chicory seed\"},\n {\"box_2d\": [264, 567, 301, 601], \"label\": \"chicory seed\"},\n {\"box_2d\": [235, 550, 267, 589], \"label\": \"chicory seed\"},\n {\"box_2d\": [235, 581, 274, 611], \"label\": \"chicory seed\"},\n {\"box_2d\": [242, 621, 281, 646], \"label\": \"chicory seed\"},\n {\"box_2d\": [273, 646, 307, 684], \"label\": \"chicory seed\"},\n {\"box_2d\": [263, 659, 294, 699], \"label\": \"chicory seed\"},\n {\"box_2d\": [294, 694, 330, 723], \"label\": \"chicory seed\"},\n {\"box_2d\": [335, 709, 371, 742], \"label\": \"chicory seed\"},\n {\"box_2d\": [318, 734, 359, 761], \"label\": \"chicory seed\"},\n {\"box_2d\": [283, 706, 323, 734], \"label\": \"chicory seed\"},\n {\"box_2d\": [273, 728, 313, 750], \"label\": \"chicory seed\"},\n {\"box_2d\": [247, 712, 284, 751], \"label\": \"chicory seed\"},\n {\"box_2d\": [225, 684, 263, 717], \"label\": \"chicory seed\"},\n {\"box_2d\": [234, 639, 259, 680], \"label\": \"chicory seed\"},\n {\"box_2d\": [217, 608, 243, 652], \"label\": \"chicory seed\"},\n {\"box_2d\": [196, 620, 219, 663], \"label\": \"chicory seed\"},\n {\"box_2d\": [202, 567, 230, 610], \"label\": \"chicory seed\"},\n {\"box_2d\": [168, 584, 203, 619], \"label\": \"chicory seed\"},\n {\"box_2d\": [220, 532, 246, 573], \"label\": \"chicory seed\"},\n {\"box_2d\": [237, 491, 268, 530], \"label\": \"chicory seed\"},\n {\"box_2d\": [194, 497, 219, 538], \"label\": \"chicory seed\"},\n {\"box_2d\": [223, 467, 260, 497], \"label\": \"chicory seed\"},\n {\"box_2d\": [182, 465, 207, 509], \"label\": \"chicory seed\"},\n {\"box_2d\": [185, 439, 220, 478], \"label\": \"chicory seed\"},\n {\"box_2d\": [162, 424, 198, 460], \"label\": \"chicory seed\"},\n {\"box_2d\": [209, 405, 231, 448], \"label\": \"chicory seed\"},\n {\"box_2d\": [227, 431, 249, 472], \"label\": \"chicory seed\"},\n {\"box_2d\": [248, 424, 280, 463], \"label\": \"chicory seed\"},\n {\"box_2d\": [225, 394, 254, 433], \"label\": \"chicory seed\"},\n {\"box_2d\": [194, 370, 235, 397], \"label\": \"chicory seed\"},\n {\"box_2d\": [182, 344, 209, 382], \"label\": \"chicory seed\"},\n {\"box_2d\": [210, 341, 243, 379], \"label\": \"chicory seed\"},\n {\"box_2d\": [237, 375, 269, 415], \"label\": \"chicory seed\"},\n {\"box_2d\": [250, 360, 280, 397], \"label\": \"chicory seed\"},\n {\"box_2d\": [243, 333, 284, 362], \"label\": \"chicory seed\"},\n {\"box_2d\": [276, 317, 319, 340], \"label\": \"chicory seed\"},\n {\"box_2d\": [214, 291, 243, 334], \"label\": \"chicory seed\"},\n {\"box_2d\": [232, 300, 258, 348], \"label\": \"chicory seed\"},\n {\"box_2d\": [258, 286, 277, 330], \"label\": \"chicory seed\"},\n {\"box_2d\": [276, 271, 300, 317], \"label\": \"chicory seed\"},\n {\"box_2d\": [239, 260, 281, 288], \"label\": \"chicory seed\"},\n {\"box_2d\": [270, 222, 302, 263], \"label\": \"chicory seed\"},\n {\"box_2d\": [300, 252, 323, 294], \"label\": \"chicory seed\"},\n {\"box_2d\": [302, 287, 335, 325], \"label\": \"chicory seed\"},\n {\"box_2d\": [300, 194, 339, 224], \"label\": \"chicory seed\"},\n {\"box_2d\": [305, 214, 344, 248], \"label\": \"chicory seed\"},\n {\"box_2d\": [324, 241, 354, 277], \"label\": \"chicory seed\"},\n {\"box_2d\": [339, 186, 360, 229], \"label\": \"chicory seed\"},\n {\"box_2d\": [354, 206, 377, 254], \"label\": \"chicory seed\"},\n {\"box_2d\": [361, 163, 398, 190], \"label\": \"chicory seed\"},\n {\"box_2d\": [379, 179, 409, 219], \"label\": \"chicory seed\"},\n {\"box_2d\": [397, 195, 427, 235], \"label\": \"chicory seed\"},\n {\"box_2d\": [374, 221, 410, 257], \"label\": \"chicory seed\"},\n {\"box_2d\": [401, 253, 439, 284], \"label\": \"chicory seed\"},\n {\"box_2d\": [412, 232, 446, 269], \"label\": \"chicory seed\"},\n {\"box_2d\": [419, 164, 459, 196], \"label\": \"chicory seed\"},\n {\"box_2d\": [430, 184, 469, 213], \"label\": \"chicory seed\"},\n {\"box_2d\": [432, 212, 472, 235], \"label\": \"chicory seed\"},\n {\"box_2d\": [453, 228, 491, 256], \"label\": \"chicory seed\"},\n {\"box_2d\": [456, 251, 494, 283], \"label\": \"chicory seed\"},\n {\"box_2d\": [468, 193, 495, 232], \"label\": \"chicory seed\"},\n {\"box_2d\": [495, 207, 524, 249], \"label\": \"chicory seed\"},\n {\"box_2d\": [485, 181, 527, 204], \"label\": \"chicory seed\"},\n {\"box_2d\": [495, 150, 532, 174], \"label\": \"chicory seed\"},\n {\"box_2d\": [512, 223, 550, 254], \"label\": \"chicory seed\"},\n {\"box_2d\": [530, 237, 571, 267], \"label\": \"chicory seed\"},\n {\"box_2d\": [533, 210, 576, 238], \"label\": \"chicory seed\"},\n {\"box_2d\": [545, 151, 578, 190], \"label\": \"chicory seed\"},\n {\"box_2d\": [553, 174, 585, 211], \"label\": \"chicory seed\"},\n {\"box_2d\": [571, 234, 605, 274], \"label\": \"chicory seed\"},\n {\"box_2d\": [586, 222, 620, 259], \"label\": \"chicory seed\"},\n {\"box_2d\": [606, 194, 629, 232], \"label\": \"chicory seed\"},\n {\"box_2d\": [616, 168, 655, 193], \"label\": \"chicory seed\"},\n {\"box_2d\": [619, 217, 646, 259], \"label\": \"chicory seed\"},\n {\"box_2d\": [639, 184, 672, 224], \"label\": \"chicory seed\"},\n {\"box_2d\": [638, 232, 669, 270], \"label\": \"chicory seed\"},\n {\"box_2d\": [656, 196, 687, 235], \"label\": \"chicory seed\"},\n {\"box_2d\": [669, 209, 697, 253], \"label\": \"chicory seed\"},\n {\"box_2d\": [694, 211, 716, 254], \"label\": \"chicory seed\"},\n {\"box_2d\": [661, 252, 703, 279], \"label\": \"chicory seed\"},\n {\"box_2d\": [667, 269, 704, 295], \"label\": \"chicory seed\"},\n {\"box_2d\": [562, 279, 582, 321], \"label\": \"chicory seed\"},\n {\"box_2d\": [581, 295, 618, 323], \"label\": \"chicory seed\"},\n {\"box_2d\": [537, 358, 582, 383], \"label\": \"chicory seed\"},\n {\"box_2d\": [551, 336, 595, 365], \"label\": \"chicory seed\"},\n {\"box_2d\": [572, 364, 606, 402], \"label\": \"chicory seed\"},\n {\"box_2d\": [595, 323, 619, 367], \"label\": \"chicory seed\"},\n {\"box_2d\": [608, 344, 631, 390], \"label\": \"chicory seed\"},\n {\"box_2d\": [614, 287, 648, 315], \"label\": \"chicory seed\"},\n {\"box_2d\": [626, 312, 667, 337], \"label\": \"chicory seed\"},\n {\"box_2d\": [630, 337, 672, 367], \"label\": \"chicory seed\"},\n {\"box_2d\": [629, 364, 668, 388], \"label\": \"chicory seed\"},\n {\"box_2d\": [644, 385, 683, 409], \"label\": \"chicory seed\"},\n {\"box_2d\": [662, 352, 694, 390], \"label\": \"chicory seed\"},\n {\"box_2d\": [676, 327, 703, 368], \"label\": \"chicory seed\"},\n {\"box_2d\": [648, 291, 688, 318], \"label\": \"chicory seed\"},\n {\"box_2d\": [687, 291, 725, 317], \"label\": \"chicory seed\"},\n {\"box_2d\": [711, 250, 732, 293], \"label\": \"chicory seed\"},\n {\"box_2d\": [725, 269, 761, 305], \"label\": \"chicory seed\"},\n {\"box_2d\": [715, 301, 756, 325], \"label\": \"chicory seed\"},\n {\"box_2d\": [694, 315, 734, 350], \"label\": \"chicory seed\"},\n {\"box_2d\": [711, 349, 743, 386], \"label\": \"chicory seed\"},\n {\"box_2d\": [684, 369, 719, 408], \"label\": \"chicory seed\"},\n {\"box_2d\": [712, 383, 735, 426], \"label\": \"chicory seed\"},\n {\"box_2d\": [734, 384, 758, 429], \"label\": \"chicory seed\"},\n {\"box_2d\": [743, 364, 772, 405], \"label\": \"chicory seed\"},\n {\"box_2d\": [732, 324, 765, 362], \"label\": \"chicory seed\"},\n {\"box_2d\": [749, 341, 789, 365], \"label\": \"chicory seed\"},\n {\"box_2d\": [756, 287, 784, 328], \"label\": \"chicory seed\"},\n {\"box_2d\": [776, 300, 797, 344], \"label\": \"chicory seed\"},\n {\"box_2d\": [787, 330, 811, 376], \"label\": \"chicory seed\"},\n {\"box_2d\": [769, 366, 809, 394], \"label\": \"chicory seed\"},\n {\"box_2d\": [806, 359, 835, 402], \"label\": \"chicory seed\"},\n {\"box_2d\": [776, 394, 812, 432], \"label\": \"chicory seed\"},\n {\"box_2d\": [805, 395, 836, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [757, 412, 796, 439], \"label\": \"chicory seed\"},\n {\"box_2d\": [698, 434, 735, 466], \"label\": \"chicory seed\"},\n {\"box_2d\": [694, 466, 725, 505], \"label\": \"chicory seed\"},\n {\"box_2d\": [738, 429, 763, 474], \"label\": \"chicory seed\"},\n {\"box_2d\": [732, 469, 770, 502], \"label\": \"chicory seed\"},\n {\"box_2d\": [708, 520, 751, 543], \"label\": \"chicory seed\"},\n {\"box_2d\": [750, 489, 775, 531], \"label\": \"chicory seed\"},\n {\"box_2d\": [775, 442, 802, 484], \"label\": \"chicory seed\"},\n {\"box_2d\": [793, 435, 818, 474], \"label\": \"chicory seed\"},\n {\"box_2d\": [810, 433, 847, 456], \"label\": \"chicory seed\"},\n {\"box_2d\": [824, 455, 853, 495], \"label\": \"chicory seed\"},\n {\"box_2d\": [776, 480, 810, 511], \"label\": \"chicory seed\"},\n {\"box_2d\": [800, 480, 836, 512], \"label\": \"chicory seed\"},\n {\"box_2d\": [752, 524, 795, 551], \"label\": \"chicory seed\"},\n {\"box_2d\": [731, 554, 771, 586], \"label\": \"chicory seed\"},\n {\"box_2d\": [721, 584, 745, 624], \"label\": \"chicory seed\"},\n {\"box_2d\": [755, 564, 785, 606], \"label\": \"chicory seed\"},\n {\"box_2d\": [782, 529, 816, 568], \"label\": \"chicory seed\"},\n {\"box_2d\": [815, 530, 853, 555], \"label\": \"chicory seed\"},\n {\"box_2d\": [806, 550, 846, 574], \"label\": \"chicory seed\"},\n {\"box_2d\": [773, 594, 807, 632], \"label\": \"chicory seed\"},\n {\"box_2d\": [791, 578, 816, 621], \"label\": \"chicory seed\"},\n {\"box_2d\": [810, 594, 836, 638], \"label\": \"chicory seed\"},\n {\"box_2d\": [791, 639, 829, 675], \"label\": \"chicory seed\"},\n {\"box_2d\": [736, 637, 776, 663], \"label\": \"chicory seed\"},\n {\"box_2d\": [743, 661, 785, 684], \"label\": \"chicory seed\"},\n {\"box_2d\": [718, 638, 742, 680], \"label\": \"chicory seed\"},\n {\"box_2d\": [682, 648, 715, 687], \"label\": \"chicory seed\"},\n {\"box_2d\": [644, 684, 684, 713], \"label\": \"chicory seed\"},\n {\"box_2d\": [670, 686, 702, 723], \"label\": \"chicory seed\"},\n {\"box_2d\": [642, 726, 683, 753], \"label\": \"chicory seed\"},\n {\"box_2d\": [694, 715, 730, 751], \"label\": \"chicory seed\"},\n {\"box_2d\": [765, 697, 803, 729], \"label\": \"chicory seed\"},\n {\"box_2d\": [721, 740, 759, 770], \"label\": \"chicory seed\"},\n {\"box_2d\": [661, 749, 701, 774], \"label\": \"chicory seed\"},\n {\"box_2d\": [656, 769, 680, 813], \"label\": \"chicory seed\"},\n {\"box_2d\": [699, 744, 722, 785], \"label\": \"chicory seed\"},\n {\"box_2d\": [711, 764, 735, 806], \"label\": \"chicory seed\"},\n {\"box_2d\": [618, 804, 651, 840], \"label\": \"chicory seed\"},\n {\"box_2d\": [588, 784, 613, 824], \"label\": \"chicory seed\"},\n {\"box_2d\": [581, 824, 603, 869], \"label\": \"chicory seed\"},\n {\"box_2d\": [556, 803, 587, 846], \"label\": \"chicory seed\"},\n {\"box_2d\": [556, 776, 586, 817], \"label\": \"chicory seed\"},\n {\"box_2d\": [549, 754, 591, 776], \"label\": \"chicory seed\"},\n {\"box_2d\": [520, 737, 547, 779], \"label\": \"chicory seed\"},\n {\"box_2d\": [522, 772, 563, 793], \"label\": \"chicory seed\"},\n {\"box_2d\": [501, 792, 544, 816], \"label\": \"chicory seed\"},\n {\"box_2d\": [526, 807, 564, 833], \"label\": \"chicory seed\"},\n {\"box_2d\": [526, 833, 559, 870], \"label\": \"chicory seed\"},\n {\"box_2d\": [499, 835, 523, 882], \"label\": \"chicory seed\"},\n {\"box_2d\": [489, 815, 525, 848], \"label\": \"chicory seed\"},\n {\"box_2d\": [468, 834, 498, 865], \"label\": \"chicory seed\"},\n {\"box_2d\": [469, 804, 502, 836], \"label\": \"chicory seed\"},\n {\"box_2d\": [467, 782, 508, 804], \"label\": \"chicory seed\"},\n {\"box_2d\": [481, 749, 504, 786], \"label\": \"chicory seed\"},\n {\"box_2d\": [498, 747, 521, 791], \"label\": \"chicory seed\"},\n {\"box_2d\": [439, 764, 482, 786], \"label\": \"chicory seed\"},\n {\"box_2d\": [425, 730, 448, 768], \"label\": \"chicory seed\"},\n {\"box_2d\": [404, 731, 426, 772], \"label\": \"chicory seed\"},\n {\"box_2d\": [408, 777, 429, 822], \"label\": \"chicory seed\"},\n {\"box_2d\": [428, 784, 469, 811], \"label\": \"chicory seed\"},\n {\"box_2d\": [427, 806, 450, 850], \"label\": \"chicory seed\"},\n {\"box_2d\": [447, 811, 469, 854], \"label\": \"chicory seed\"},\n {\"box_2d\": [381, 827, 417, 859], \"label\": \"chicory seed\"},\n {\"box_2d\": [360, 816, 400, 845], \"label\": \"chicory seed\"},\n {\"box_2d\": [367, 751, 389, 793], \"label\": \"chicory seed\"},\n {\"box_2d\": [347, 762, 371, 807], \"label\": \"chicory seed\"},\n {\"box_2d\": [327, 769, 350, 813], \"label\": \"chicory seed\"},\n {\"box_2d\": [303, 748, 342, 771], \"label\": \"chicory seed\"},\n {\"box_2d\": [276, 748, 304, 785], \"label\": \"chicory seed\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 10920, "elapsed_seconds": 77.53483979101293, "metadata": {"match_method": "map", "num_predictions": 303, "num_ground_truth": 303, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3366336524486542, "attempts": 1, "retries": 0, "total_seconds": 77.6774}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 166, "image": "9pro_tire_2024-10-17_2_png_jpg.rf.4f51ee46ba892a991a30327b934d13a9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [77, 198, 179, 396], \"label\": \"tire size text\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 47, "elapsed_seconds": 19.31727445893921, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5049504637718201, "attempts": 1, "retries": 0, "total_seconds": 19.6366}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 167, "image": "2024-12-05T02-00-56-789Z-1004_jpg.rf.16e81306ce0ce847c1fdd836e6752b92.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [243, 0, 658, 162], \"label\": \"velcro cable tie\"},\n {\"box_2d\": [427, 868, 502, 927], \"label\": \"screw\"}\n]\n```", "correct": true, "input_tokens": 1204, "output_tokens": 81, "elapsed_seconds": 10.123836624901742, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 10.4359}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 168, "image": "45_png.rf.5c5cd31ecf12f414c9d6c446b6599fc0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [56, 239, 90, 298], \"label\": \"not gate symbol\"},\n {\"box_2d\": [92, 789, 141, 888], \"label\": \"or gate symbol\"},\n {\"box_2d\": [103, 424, 154, 524], \"label\": \"and gate symbol\"},\n {\"box_2d\": [300, 550, 360, 629], \"label\": \"and gate symbol\"},\n {\"box_2d\": [300, 667, 360, 745], \"label\": \"and gate symbol\"},\n {\"box_2d\": [370, 789, 419, 888], \"label\": \"or gate symbol\"},\n {\"box_2d\": [581, 574, 639, 653], \"label\": \"and gate symbol\"},\n {\"box_2d\": [581, 691, 639, 769], \"label\": \"and gate symbol\"},\n {\"box_2d\": [648, 811, 699, 910], \"label\": \"or gate symbol\"},\n {\"box_2d\": [871, 591, 932, 669], \"label\": \"and gate symbol\"},\n {\"box_2d\": [871, 706, 932, 784], \"label\": \"and gate symbol\"},\n {\"box_2d\": [940, 811, 991, 910], \"label\": \"or gate symbol\"}\n]\n```", "correct": true, "input_tokens": 1264, "output_tokens": 441, "elapsed_seconds": 5.8988725830568, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 5.9039}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 169, "image": "paper-parts_112786_53_jpg.rf.0483acf3782b23a87f49280c7a03b327.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [92, 177, 330, 667], \"label\": \"figure\"},\n {\"box_2d\": [372, 177, 424, 882], \"label\": \"figure caption\"},\n {\"box_2d\": [478, 177, 493, 207], \"label\": \"paragraph\"},\n {\"box_2d\": [524, 274, 551, 753], \"label\": \"equation\"},\n {\"box_2d\": [560, 274, 588, 711], \"label\": \"equation\"},\n {\"box_2d\": [597, 274, 624, 783], \"label\": \"equation\"},\n {\"box_2d\": [633, 274, 661, 734], \"label\": \"equation\"},\n {\"box_2d\": [669, 274, 697, 735], \"label\": \"equation\"},\n {\"box_2d\": [708, 274, 725, 530], \"label\": \"equation\"},\n {\"box_2d\": [756, 177, 869, 882], \"label\": \"paragraph\"},\n {\"box_2d\": [898, 520, 913, 539], \"label\": \"page number\"}\n]\n```", "correct": false, "input_tokens": 1248, "output_tokens": 387, "elapsed_seconds": 5.302815333940089, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6504949927330017, "attempts": 1, "retries": 0, "total_seconds": 5.3441}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 170, "image": "signatures_image_21_png_jpg.rf.af64d00b20a92b8a4d92e9aefc5cd1f8.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [72, 217, 176, 358], \"label\": \"signature\"},\n {\"box_2d\": [301, 678, 405, 868], \"label\": \"signature\"},\n {\"box_2d\": [654, 511, 761, 725], \"label\": \"signature\"},\n {\"box_2d\": [829, 651, 932, 852], \"label\": \"signature\"},\n {\"box_2d\": [832, 418, 945, 643], \"label\": \"signature\"}\n]\n```", "correct": true, "input_tokens": 1252, "output_tokens": 181, "elapsed_seconds": 5.810936207999475, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.800000011920929, "attempts": 1, "retries": 0, "total_seconds": 5.9406}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 171, "image": "1668146885__jpg.rf.3d8577f11d5831de64da2c2964b98050.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [50, 206, 98, 234], \"label\": \"six die\"},\n {\"box_2d\": [27, 353, 81, 384], \"label\": \"four die\"},\n {\"box_2d\": [174, 226, 224, 256], \"label\": \"two die\"},\n {\"box_2d\": [143, 143, 193, 171], \"label\": \"two die\"},\n {\"box_2d\": [327, 214, 384, 245], \"label\": \"six die\"},\n {\"box_2d\": [393, 138, 448, 171], \"label\": \"three die\"},\n {\"box_2d\": [377, 202, 434, 235], \"label\": \"six die\"},\n {\"box_2d\": [443, 217, 496, 247], \"label\": \"one die\"},\n {\"box_2d\": [381, 276, 438, 307], \"label\": \"four die\"},\n {\"box_2d\": [348, 319, 399, 348], \"label\": \"five die\"},\n {\"box_2d\": [520, 273, 577, 305], \"label\": \"three die\"},\n {\"box_2d\": [517, 218, 572, 249], \"label\": \"three die\"},\n {\"box_2d\": [628, 166, 675, 193], \"label\": \"two die\"},\n {\"box_2d\": [694, 226, 748, 257], \"label\": \"three die\"},\n {\"box_2d\": [731, 259, 785, 290], \"label\": \"four die\"},\n {\"box_2d\": [596, 449, 643, 475], \"label\": \"two die\"},\n {\"box_2d\": [510, 469, 563, 499], \"label\": \"four die\"},\n {\"box_2d\": [573, 496, 629, 527], \"label\": \"six die\"},\n {\"box_2d\": [624, 511, 678, 542], \"label\": \"four die\"},\n {\"box_2d\": [618, 555, 671, 584], \"label\": \"four die\"},\n {\"box_2d\": [558, 533, 608, 561], \"label\": \"one die\"},\n {\"box_2d\": [508, 538, 563, 570], \"label\": \"five die\"},\n {\"box_2d\": [541, 560, 597, 590], \"label\": \"five die\"},\n {\"box_2d\": [448, 589, 496, 616], \"label\": \"three die\"},\n {\"box_2d\": [347, 545, 401, 575], \"label\": \"five die\"},\n {\"box_2d\": [304, 564, 349, 590], \"label\": \"six die\"},\n {\"box_2d\": [311, 598, 358, 623], \"label\": \"one die\"},\n {\"box_2d\": [261, 634, 314, 664], \"label\": \"four die\"},\n {\"box_2d\": [196, 635, 251, 666], \"label\": \"six die\"},\n {\"box_2d\": [131, 711, 184, 742], \"label\": \"six die\"},\n {\"box_2d\": [107, 750, 162, 781], \"label\": \"three die\"},\n {\"box_2d\": [60, 791, 113, 821], \"label\": \"two die\"},\n {\"box_2d\": [210, 885, 261, 916], \"label\": \"five die\"},\n {\"box_2d\": [305, 918, 358, 950], \"label\": \"three die\"},\n {\"box_2d\": [298, 790, 353, 821], \"label\": \"three die\"},\n {\"box_2d\": [343, 779, 400, 811], \"label\": \"four die\"},\n {\"box_2d\": [293, 684, 345, 715], \"label\": \"four die\"},\n {\"box_2d\": [376, 687, 431, 720], \"label\": \"three die\"},\n {\"box_2d\": [421, 661, 474, 691], \"label\": \"six die\"},\n {\"box_2d\": [475, 684, 531, 715], \"label\": \"three die\"},\n {\"box_2d\": [485, 716, 540, 748], \"label\": \"two die\"},\n {\"box_2d\": [540, 806, 585, 833], \"label\": \"six die\"},\n {\"box_2d\": [581, 828, 625, 855], \"label\": \"five die\"},\n {\"box_2d\": [612, 789, 656, 817], \"label\": \"six die\"},\n {\"box_2d\": [654, 712, 709, 743], \"label\": \"two die\"},\n {\"box_2d\": [682, 857, 727, 885], \"label\": \"six die\"},\n {\"box_2d\": [965, 761, 1000, 790], \"label\": \"six die\"},\n {\"box_2d\": [699, 584, 745, 611], \"label\": \"six die\"}\n]\n```", "correct": false, "input_tokens": 1252, "output_tokens": 1688, "elapsed_seconds": 18.218972874921747, "metadata": {"match_method": "map", "num_predictions": 48, "num_ground_truth": 48, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.789709746837616, "attempts": 1, "retries": 0, "total_seconds": 18.2771}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 172, "image": "IMG_20220316_171754_jpg.rf.02842914dec30f998cea03868026b96a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [86, 192, 405, 487], \"label\": \"eight of clubs\"},\n {\"box_2d\": [283, 274, 650, 538], \"label\": \"seven of clubs\"},\n {\"box_2d\": [294, 419, 675, 740], \"label\": \"five of clubs\"},\n {\"box_2d\": [461, 517, 941, 924], \"label\": \"six of clubs\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 155, "elapsed_seconds": 6.158816415932961, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 6.1991}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 173, "image": "39_jpg.rf.edb5339d00a37b75d6cf16c1f9a301ff.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [173, 165, 211, 206], \"label\": \"resistor symbol\"},\n {\"box_2d\": [151, 353, 198, 405], \"label\": \"resistor symbol\"},\n {\"box_2d\": [118, 554, 210, 619], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [156, 769, 190, 811], \"label\": \"resistor symbol\"},\n {\"box_2d\": [324, 673, 419, 691], \"label\": \"resistor symbol\"},\n {\"box_2d\": [432, 855, 540, 873], \"label\": \"resistor symbol\"},\n {\"box_2d\": [353, 481, 444, 498], \"label\": \"resistor symbol\"},\n {\"box_2d\": [771, 329, 833, 399], \"label\": \"resistor symbol\"},\n {\"box_2d\": [354, 270, 447, 285], \"label\": \"resistor symbol\"},\n {\"box_2d\": [461, 61, 636, 125], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [805, 274, 895, 298], \"label\": \"ground symbol\"}\n]\n```", "correct": true, "input_tokens": 1216, "output_tokens": 408, "elapsed_seconds": 12.574533540988341, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 10, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8333333134651184, "attempts": 1, "retries": 0, "total_seconds": 12.6853}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 174, "image": "99FB9DDE-58F9-4BBA-8CC2-48146BC0EBC5_jpg.rf.1cef29e3b05e7507a4b618bd8b857503.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [191, 249, 253, 309], \"label\": \"pill\"},\n {\"box_2d\": [181, 444, 245, 502], \"label\": \"pill\"},\n {\"box_2d\": [278, 450, 338, 508], \"label\": \"pill\"},\n {\"box_2d\": [270, 327, 329, 386], \"label\": \"pill\"},\n {\"box_2d\": [294, 202, 353, 265], \"label\": \"pill\"},\n {\"box_2d\": [354, 180, 412, 242], \"label\": \"pill\"},\n {\"box_2d\": [417, 134, 476, 198], \"label\": \"pill\"},\n {\"box_2d\": [420, 246, 478, 305], \"label\": \"pill\"},\n {\"box_2d\": [387, 311, 445, 370], \"label\": \"pill\"},\n {\"box_2d\": [336, 285, 394, 344], \"label\": \"pill\"},\n {\"box_2d\": [320, 408, 378, 466], \"label\": \"pill\"},\n {\"box_2d\": [333, 469, 392, 528], \"label\": \"pill\"},\n {\"box_2d\": [377, 391, 436, 449], \"label\": \"pill\"},\n {\"box_2d\": [445, 360, 504, 419], \"label\": \"pill\"},\n {\"box_2d\": [472, 303, 531, 362], \"label\": \"pill\"},\n {\"box_2d\": [515, 345, 574, 404], \"label\": \"pill\"},\n {\"box_2d\": [504, 414, 563, 472], \"label\": \"pill\"},\n {\"box_2d\": [446, 440, 504, 498], \"label\": \"pill\"},\n {\"box_2d\": [399, 478, 458, 537], \"label\": \"pill\"},\n {\"box_2d\": [386, 546, 446, 606], \"label\": \"pill\"},\n {\"box_2d\": [449, 534, 508, 592], \"label\": \"pill\"},\n {\"box_2d\": [428, 613, 488, 672], \"label\": \"pill\"},\n {\"box_2d\": [404, 668, 464, 729], \"label\": \"pill\"},\n {\"box_2d\": [507, 562, 567, 620], \"label\": \"pill\"},\n {\"box_2d\": [490, 486, 549, 544], \"label\": \"pill\"},\n {\"box_2d\": [552, 466, 611, 526], \"label\": \"pill\"},\n {\"box_2d\": [563, 530, 623, 589], \"label\": \"pill\"},\n {\"box_2d\": [637, 539, 697, 600], \"label\": \"pill\"},\n {\"box_2d\": [612, 449, 672, 508], \"label\": \"pill\"},\n {\"box_2d\": [593, 366, 653, 425], \"label\": \"pill\"},\n {\"box_2d\": [603, 283, 663, 344], \"label\": \"pill\"},\n {\"box_2d\": [620, 199, 681, 263], \"label\": \"pill\"},\n {\"box_2d\": [686, 763, 749, 829], \"label\": \"pill\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 1134, "elapsed_seconds": 42.94940337492153, "metadata": {"match_method": "map", "num_predictions": 33, "num_ground_truth": 33, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 43.437}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 175, "image": "8a_tire_2024-10-17_62_png_jpg.rf.da90fbf7f0527f341a28f165c3e83dac.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [146, 344, 187, 439], \"label\": \"tire size text\"},\n {\"box_2d\": [465, 58, 656, 94], \"label\": \"tire size text\"},\n {\"box_2d\": [457, 913, 646, 946], \"label\": \"tire size text\"}\n]\n```", "correct": false, "input_tokens": 1226, "output_tokens": 118, "elapsed_seconds": 68.75813470897265, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.4422442317008972, "attempts": 1, "retries": 0, "total_seconds": 69.3016}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 176, "image": "frame_0002_03_jpg.rf.dda0be95dbf94773efee5983feb50582.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [731, 389, 795, 421], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [746, 535, 811, 567], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [715, 320, 773, 350], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [742, 461, 804, 493], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [590, 327, 650, 358], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [603, 398, 667, 429], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [609, 470, 672, 502], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [616, 543, 679, 575], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [489, 544, 548, 577], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [484, 472, 544, 504], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [464, 330, 524, 360], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [478, 398, 535, 430], \"label\": \"soda bottle cap\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 444, "elapsed_seconds": 32.58022050000727, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 33.6371}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 177, "image": "f77_jpg.rf.82279850cbac861dc93376eb2c7be55d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 56, 444, 244], \"label\": \"wildfire\"},\n {\"box_2d\": [146, 294, 194, 314], \"label\": \"wildfire\"},\n {\"box_2d\": [489, 643, 526, 661], \"label\": \"wildfire\"},\n {\"box_2d\": [0, 745, 725, 1000], \"label\": \"wildfire\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 148, "elapsed_seconds": 58.85663433303125, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.27062708139419556, "attempts": 1, "retries": 0, "total_seconds": 58.9779}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 178, "image": "1219_48_jpg.rf.d6aecd0b221112666e45beae667e3572.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 8, 124, 130], \"label\": \"white king\"},\n {\"box_2d\": [3, 386, 125, 473], \"label\": \"white queen\"},\n {\"box_2d\": [17, 891, 117, 995], \"label\": \"white bishop\"},\n {\"box_2d\": [143, 385, 236, 476], \"label\": \"white bishop\"},\n {\"box_2d\": [279, 648, 350, 720], \"label\": \"white pawn\"},\n {\"box_2d\": [397, 275, 486, 366], \"label\": \"black king\"},\n {\"box_2d\": [397, 519, 479, 599], \"label\": \"white rook\"},\n {\"box_2d\": [398, 769, 481, 879], \"label\": \"black queen\"},\n {\"box_2d\": [533, 146, 613, 233], \"label\": \"black rook\"},\n {\"box_2d\": [513, 273, 594, 356], \"label\": \"white knight\"},\n {\"box_2d\": [522, 637, 601, 734], \"label\": \"black knight\"},\n {\"box_2d\": [498, 770, 575, 862], \"label\": \"black rook\"},\n {\"box_2d\": [635, 9, 715, 117], \"label\": \"black knight\"},\n {\"box_2d\": [647, 526, 728, 620], \"label\": \"white knight\"},\n {\"box_2d\": [666, 751, 737, 825], \"label\": \"black pawn\"},\n {\"box_2d\": [748, 253, 837, 342], \"label\": \"black bishop\"},\n {\"box_2d\": [866, 278, 982, 368], \"label\": \"black queen\"}\n]\n```", "correct": true, "input_tokens": 1259, "output_tokens": 598, "elapsed_seconds": 19.55115895799827, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 17, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 19.8171}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 179, "image": "f27_jpg.rf.b153b2c59a95b68f3f9edb924d42cee4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [586, 179, 954, 396], \"label\": \"wildfire\"},\n {\"box_2d\": [213, 603, 452, 740], \"label\": \"wildfire\"},\n {\"box_2d\": [650, 678, 756, 738], \"label\": \"wildfire\"},\n {\"box_2d\": [56, 240, 449, 396], \"label\": \"wildfire\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 151, "elapsed_seconds": 10.295430124970153, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 10.4261}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 180, "image": "img_461922717831528641_png.rf.c1eccbe6f38478b43fbba2e4cba33ac0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [58, 178, 173, 326], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [29, 319, 134, 456], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [67, 444, 178, 585], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [36, 577, 146, 712], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [77, 697, 189, 840], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [171, 695, 291, 845], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [269, 697, 393, 855], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [373, 703, 500, 868], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [484, 709, 608, 882], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [598, 720, 722, 900], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [721, 725, 855, 916], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [850, 742, 1000, 931], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [800, 576, 950, 761], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [855, 421, 999, 594], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [803, 259, 956, 434], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [860, 78, 999, 267], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [724, 92, 865, 289], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [599, 115, 725, 300], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [475, 132, 605, 305], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [361, 147, 488, 308], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [254, 159, 381, 315], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [153, 171, 275, 323], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [122, 312, 236, 456], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [219, 307, 336, 453], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [321, 297, 444, 447], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [433, 294, 557, 447], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [552, 282, 677, 443], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [674, 273, 801, 436], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [721, 428, 855, 595], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [598, 431, 720, 593], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [479, 432, 601, 588], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [368, 434, 489, 586], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [264, 437, 380, 586], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [166, 441, 278, 586], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [128, 573, 240, 715], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [224, 571, 341, 718], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [325, 573, 447, 726], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [435, 572, 559, 730], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [549, 572, 671, 740], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [673, 575, 799, 750], \"label\": \"empty portable gas cylinder\"}\n]\n```", "correct": false, "input_tokens": 1208, "output_tokens": 1486, "elapsed_seconds": 16.918042290955782, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 40, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.4615024924278259, "attempts": 1, "retries": 0, "total_seconds": 17.0376}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 181, "image": "20230113_134921_jpg.rf.98498c853848c0b93af6274d6758c4d5.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [520, 801, 537, 881], \"label\": \"crack\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 46, "elapsed_seconds": 3.619081500102766, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 3.6392}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 182, "image": "IMG_0618_jpeg.rf.efa7b9f1261718cff400e2cf104b3017.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [276, 460, 336, 526], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [357, 395, 429, 458], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [343, 577, 419, 624], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [436, 521, 517, 583], \"label\": \"caramel corn jelly bean\"},\n {\"box_2d\": [375, 239, 441, 307], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [485, 346, 573, 408], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [499, 205, 588, 255], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [612, 244, 681, 326], \"label\": \"peach jelly bean\"},\n {\"box_2d\": [616, 402, 712, 472], \"label\": \"peach jelly bean\"},\n {\"box_2d\": [451, 694, 521, 771], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [607, 627, 712, 681], \"label\": \"top banana jelly bean\"}\n]\n```", "correct": true, "input_tokens": 1230, "output_tokens": 428, "elapsed_seconds": 21.41921550000552, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 21.4665}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 183, "image": "1668146875__jpg.rf.3051c36c0a756d3687be5c2fb0ad5141.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [572, 169, 622, 198], \"label\": \"four die\"},\n {\"box_2d\": [437, 217, 494, 249], \"label\": \"three die\"},\n {\"box_2d\": [230, 272, 290, 304], \"label\": \"six die\"},\n {\"box_2d\": [219, 297, 276, 329], \"label\": \"six die\"},\n {\"box_2d\": [199, 348, 259, 381], \"label\": \"four die\"},\n {\"box_2d\": [100, 362, 159, 395], \"label\": \"six die\"},\n {\"box_2d\": [112, 404, 172, 437], \"label\": \"two die\"},\n {\"box_2d\": [181, 389, 241, 420], \"label\": \"two die\"},\n {\"box_2d\": [181, 435, 243, 468], \"label\": \"six die\"},\n {\"box_2d\": [270, 301, 329, 333], \"label\": \"four die\"},\n {\"box_2d\": [301, 325, 353, 353], \"label\": \"four die\"},\n {\"box_2d\": [339, 301, 389, 329], \"label\": \"five die\"},\n {\"box_2d\": [387, 311, 437, 338], \"label\": \"five die\"},\n {\"box_2d\": [349, 338, 396, 363], \"label\": \"four die\"},\n {\"box_2d\": [298, 350, 348, 375], \"label\": \"six die\"},\n {\"box_2d\": [292, 372, 342, 400], \"label\": \"three die\"},\n {\"box_2d\": [338, 366, 389, 395], \"label\": \"four die\"},\n {\"box_2d\": [280, 395, 331, 424], \"label\": \"two die\"},\n {\"box_2d\": [410, 340, 466, 372], \"label\": \"two die\"},\n {\"box_2d\": [513, 389, 571, 421], \"label\": \"five die\"},\n {\"box_2d\": [586, 381, 645, 412], \"label\": \"two die\"},\n {\"box_2d\": [530, 450, 589, 483], \"label\": \"three die\"},\n {\"box_2d\": [412, 492, 464, 522], \"label\": \"five die\"},\n {\"box_2d\": [361, 540, 417, 573], \"label\": \"two die\"},\n {\"box_2d\": [291, 517, 352, 550], \"label\": \"six die\"},\n {\"box_2d\": [767, 324, 818, 353], \"label\": \"six die\"},\n {\"box_2d\": [816, 314, 868, 343], \"label\": \"five die\"},\n {\"box_2d\": [845, 373, 901, 401], \"label\": \"six die\"},\n {\"box_2d\": [820, 426, 879, 459], \"label\": \"five die\"},\n {\"box_2d\": [757, 440, 804, 466], \"label\": \"five die\"},\n {\"box_2d\": [706, 441, 757, 470], \"label\": \"four die\"},\n {\"box_2d\": [649, 471, 704, 502], \"label\": \"six die\"},\n {\"box_2d\": [682, 495, 740, 528], \"label\": \"six die\"},\n {\"box_2d\": [640, 514, 696, 546], \"label\": \"two die\"},\n {\"box_2d\": [588, 531, 636, 558], \"label\": \"five die\"},\n {\"box_2d\": [398, 649, 444, 675], \"label\": \"four die\"},\n {\"box_2d\": [340, 683, 396, 715], \"label\": \"two die\"},\n {\"box_2d\": [256, 715, 314, 748], \"label\": \"three die\"},\n {\"box_2d\": [200, 764, 250, 793], \"label\": \"one die\"},\n {\"box_2d\": [147, 780, 198, 809], \"label\": \"three die\"},\n {\"box_2d\": [32, 674, 92, 707], \"label\": \"four die\"},\n {\"box_2d\": [364, 772, 413, 802], \"label\": \"three die\"},\n {\"box_2d\": [393, 748, 451, 781], \"label\": \"one die\"},\n {\"box_2d\": [449, 757, 496, 785], \"label\": \"four die\"},\n {\"box_2d\": [495, 757, 543, 786], \"label\": \"four die\"},\n {\"box_2d\": [438, 807, 491, 839], \"label\": \"six die\"},\n {\"box_2d\": [666, 793, 722, 826], \"label\": \"three die\"}\n]\n```", "correct": false, "input_tokens": 1252, "output_tokens": 1655, "elapsed_seconds": 37.77398012496997, "metadata": {"match_method": "map", "num_predictions": 47, "num_ground_truth": 48, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7626146674156189, "attempts": 1, "retries": 0, "total_seconds": 37.8322}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 184, "image": "C440AC87-A6AC-47BA-9CB8-2E8D0B276501_jpg.rf.8b0f079f1f23f56b5c9934be046152df.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [793, 60, 884, 152], \"label\": \"pill\"},\n {\"box_2d\": [702, 161, 789, 248], \"label\": \"pill\"},\n {\"box_2d\": [781, 219, 871, 310], \"label\": \"pill\"},\n {\"box_2d\": [689, 245, 777, 331], \"label\": \"pill\"},\n {\"box_2d\": [720, 320, 809, 408], \"label\": \"pill\"},\n {\"box_2d\": [723, 497, 811, 582], \"label\": \"pill\"},\n {\"box_2d\": [811, 479, 902, 567], \"label\": \"pill\"},\n {\"box_2d\": [771, 571, 862, 658], \"label\": \"pill\"},\n {\"box_2d\": [705, 620, 792, 706], \"label\": \"pill\"},\n {\"box_2d\": [699, 703, 786, 789], \"label\": \"pill\"},\n {\"box_2d\": [693, 783, 780, 870], \"label\": \"pill\"},\n {\"box_2d\": [581, 677, 665, 763], \"label\": \"pill\"},\n {\"box_2d\": [587, 520, 670, 603], \"label\": \"pill\"},\n {\"box_2d\": [602, 437, 686, 520], \"label\": \"pill\"},\n {\"box_2d\": [573, 355, 657, 437], \"label\": \"pill\"},\n {\"box_2d\": [542, 283, 625, 365], \"label\": \"pill\"},\n {\"box_2d\": [465, 162, 547, 245], \"label\": \"pill\"},\n {\"box_2d\": [480, 239, 561, 321], \"label\": \"pill\"},\n {\"box_2d\": [474, 320, 554, 401], \"label\": \"pill\"},\n {\"box_2d\": [415, 276, 494, 356], \"label\": \"pill\"},\n {\"box_2d\": [413, 364, 491, 443], \"label\": \"pill\"},\n {\"box_2d\": [438, 435, 517, 513], \"label\": \"pill\"},\n {\"box_2d\": [508, 514, 588, 595], \"label\": \"pill\"},\n {\"box_2d\": [430, 523, 509, 600], \"label\": \"pill\"},\n {\"box_2d\": [476, 583, 556, 663], \"label\": \"pill\"},\n {\"box_2d\": [430, 648, 509, 730], \"label\": \"pill\"},\n {\"box_2d\": [375, 704, 452, 785], \"label\": \"pill\"},\n {\"box_2d\": [307, 689, 382, 766], \"label\": \"pill\"},\n {\"box_2d\": [316, 616, 392, 692], \"label\": \"pill\"},\n {\"box_2d\": [361, 545, 437, 621], \"label\": \"pill\"},\n {\"box_2d\": [291, 548, 365, 623], \"label\": \"pill\"},\n {\"box_2d\": [298, 456, 374, 531], \"label\": \"pill\"},\n {\"box_2d\": [354, 406, 430, 483], \"label\": \"pill\"},\n {\"box_2d\": [357, 321, 434, 399], \"label\": \"pill\"},\n {\"box_2d\": [306, 273, 382, 352], \"label\": \"pill\"},\n {\"box_2d\": [244, 306, 319, 382], \"label\": \"pill\"},\n {\"box_2d\": [162, 369, 236, 443], \"label\": \"pill\"},\n {\"box_2d\": [164, 249, 238, 324], \"label\": \"pill\"},\n {\"box_2d\": [229, 167, 305, 246], \"label\": \"pill\"},\n {\"box_2d\": [327, 123, 405, 205], \"label\": \"pill\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 1371, "elapsed_seconds": 48.76311404199805, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 40, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 49.3838}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 185, "image": "preannot3_62_png.rf.0c5f5d9500c1d4c579c64d746f68b358.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [757, 240, 780, 274], \"label\": \"tire spike normal\"},\n {\"box_2d\": [704, 309, 731, 353], \"label\": \"tire spike normal\"},\n {\"box_2d\": [613, 259, 641, 301], \"label\": \"tire spike normal\"},\n {\"box_2d\": [556, 319, 585, 365], \"label\": \"tire spike normal\"},\n {\"box_2d\": [438, 211, 470, 255], \"label\": \"tire spike normal\"},\n {\"box_2d\": [360, 198, 391, 232], \"label\": \"tire spike absent\"},\n {\"box_2d\": [288, 232, 322, 277], \"label\": \"tire spike normal\"},\n {\"box_2d\": [232, 297, 259, 342], \"label\": \"tire spike normal\"},\n {\"box_2d\": [146, 235, 169, 272], \"label\": \"tire spike normal\"},\n {\"box_2d\": [88, 296, 108, 331], \"label\": \"tire spike normal\"},\n {\"box_2d\": [68, 619, 86, 650], \"label\": \"tire spike normal\"},\n {\"box_2d\": [107, 687, 130, 720], \"label\": \"tire spike normal\"},\n {\"box_2d\": [179, 648, 200, 684], \"label\": \"tire spike normal\"},\n {\"box_2d\": [248, 691, 279, 732], \"label\": \"tire spike normal\"},\n {\"box_2d\": [319, 738, 342, 774], \"label\": \"tire spike absent\"},\n {\"box_2d\": [391, 761, 421, 797], \"label\": \"tire spike normal\"},\n {\"box_2d\": [497, 646, 533, 689], \"label\": \"tire spike normal\"},\n {\"box_2d\": [566, 688, 597, 732], \"label\": \"tire spike normal\"},\n {\"box_2d\": [674, 628, 703, 672], \"label\": \"tire spike normal\"},\n {\"box_2d\": [703, 745, 732, 788], \"label\": \"tire spike normal\"},\n {\"box_2d\": [797, 667, 822, 705], \"label\": \"tire spike normal\"},\n {\"box_2d\": [852, 718, 875, 750], \"label\": \"tire spike normal\"},\n {\"box_2d\": [896, 286, 916, 320], \"label\": \"tire spike normal\"}\n]\n```", "correct": false, "input_tokens": 1206, "output_tokens": 837, "elapsed_seconds": 18.73565712501295, "metadata": {"match_method": "map", "num_predictions": 23, "num_ground_truth": 32, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.03223714977502823, "attempts": 1, "retries": 0, "total_seconds": 18.8152}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 186, "image": "floorplan-windows-doors_10035_png.rf.4ea81a436186bba253c43df724f8ab26.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [777, 487, 895, 558], \"label\": \"door\"},\n {\"box_2d\": [749, 594, 780, 675], \"label\": \"window\"},\n {\"box_2d\": [750, 773, 780, 836], \"label\": \"window\"},\n {\"box_2d\": [750, 330, 780, 409], \"label\": \"window\"},\n {\"box_2d\": [468, 396, 540, 445], \"label\": \"door\"},\n {\"box_2d\": [462, 311, 519, 346], \"label\": \"door\"},\n {\"box_2d\": [291, 310, 349, 346], \"label\": \"door\"},\n {\"box_2d\": [266, 396, 338, 445], \"label\": \"door\"},\n {\"box_2d\": [384, 440, 452, 489], \"label\": \"door\"},\n {\"box_2d\": [562, 677, 634, 726], \"label\": \"door\"},\n {\"box_2d\": [540, 765, 614, 814], \"label\": \"door\"},\n {\"box_2d\": [592, 828, 661, 868], \"label\": \"door\"},\n {\"box_2d\": [614, 922, 691, 974], \"label\": \"door\"},\n {\"box_2d\": [319, 916, 417, 936], \"label\": \"window\"},\n {\"box_2d\": [395, 765, 462, 815], \"label\": \"door\"},\n {\"box_2d\": [217, 677, 289, 725], \"label\": \"door\"},\n {\"box_2d\": [7, 772, 37, 851], \"label\": \"window\"},\n {\"box_2d\": [7, 587, 36, 667], \"label\": \"window\"},\n {\"box_2d\": [7, 502, 36, 581], \"label\": \"window\"},\n {\"box_2d\": [7, 348, 36, 426], \"label\": \"window\"},\n {\"box_2d\": [7, 132, 37, 192], \"label\": \"window\"},\n {\"box_2d\": [217, 184, 297, 239], \"label\": \"door\"}\n]\n```", "correct": true, "input_tokens": 1245, "output_tokens": 745, "elapsed_seconds": 11.701234332984313, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9249809384346008, "attempts": 1, "retries": 0, "total_seconds": 11.7531}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 187, "image": "IMG_6647_jpeg_jpg.rf.c9080c42346e2e5efd9c896163bdce7e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [562, 470, 668, 678], \"label\": \"white poker chip\"},\n {\"box_2d\": [548, 473, 649, 678], \"label\": \"white poker chip\"},\n {\"box_2d\": [537, 480, 634, 678], \"label\": \"white poker chip\"},\n {\"box_2d\": [533, 479, 622, 696], \"label\": \"white poker chip\"},\n {\"box_2d\": [508, 482, 603, 691], \"label\": \"white poker chip\"},\n {\"box_2d\": [498, 488, 586, 699], \"label\": \"white poker chip\"},\n {\"box_2d\": [490, 488, 568, 709], \"label\": \"white poker chip\"},\n {\"box_2d\": [451, 486, 548, 712], \"label\": \"white poker chip\"},\n {\"box_2d\": [454, 502, 529, 718], \"label\": \"white poker chip\"},\n {\"box_2d\": [441, 503, 507, 723], \"label\": \"white poker chip\"},\n {\"box_2d\": [408, 500, 488, 724], \"label\": \"white poker chip\"},\n {\"box_2d\": [378, 498, 466, 724], \"label\": \"white poker chip\"},\n {\"box_2d\": [376, 514, 444, 738], \"label\": \"white poker chip\"},\n {\"box_2d\": [366, 514, 425, 747], \"label\": \"white poker chip\"},\n {\"box_2d\": [332, 514, 401, 745], \"label\": \"white poker chip\"},\n {\"box_2d\": [315, 518, 379, 753], \"label\": \"white poker chip\"},\n {\"box_2d\": [306, 527, 357, 765], \"label\": \"white poker chip\"},\n {\"box_2d\": [278, 517, 332, 758], \"label\": \"white poker chip\"},\n {\"box_2d\": [256, 512, 305, 750], \"label\": \"white poker chip\"},\n {\"box_2d\": [221, 506, 281, 747], \"label\": \"white poker chip\"},\n {\"box_2d\": [572, 261, 652, 462], \"label\": \"white poker chip\"},\n {\"box_2d\": [562, 267, 628, 462], \"label\": \"white poker chip\"},\n {\"box_2d\": [546, 267, 611, 465], \"label\": \"white poker chip\"},\n {\"box_2d\": [480, 267, 593, 470], \"label\": \"white poker chip\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 876, "elapsed_seconds": 13.22398675000295, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 24, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9216171503067017, "attempts": 1, "retries": 0, "total_seconds": 13.2497}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 188, "image": "IMG_20220316_141641_jpg.rf.2b5b442678a6dd37dce39460868771a9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [547, 344, 960, 695], \"label\": \"king of spades\"},\n {\"box_2d\": [146, 565, 531, 868], \"label\": \"queen of spades\"},\n {\"box_2d\": [193, 98, 581, 422], \"label\": \"jack of spades\"},\n {\"box_2d\": [143, 333, 528, 654], \"label\": \"ten of spades\"},\n {\"box_2d\": [449, 29, 882, 398], \"label\": \"nine of spades\"}\n]\n```", "correct": true, "input_tokens": 1218, "output_tokens": 190, "elapsed_seconds": 10.720732084009796, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 10.7521}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 189, "image": "img_460975841708081304_png.rf.71eaf0b919ddab2a648aa76c72cc4a00.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [826, 859, 1000, 1000], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [825, 731, 999, 882], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [819, 591, 999, 742], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [822, 449, 1000, 596], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [821, 297, 999, 441], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [822, 124, 1000, 290], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [816, 1, 999, 134], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [661, 821, 845, 956], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [659, 697, 847, 838], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [647, 577, 840, 711], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [644, 449, 839, 579], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [639, 314, 838, 444], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [638, 163, 841, 307], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [620, 0, 828, 159], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [468, 46, 650, 187], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [485, 191, 667, 320], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [497, 326, 664, 443], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [504, 452, 665, 566], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [510, 567, 678, 684], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [521, 678, 687, 798], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [528, 787, 689, 908], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [420, 761, 562, 868], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [410, 660, 551, 768], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [397, 556, 543, 662], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [385, 451, 526, 554], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [377, 339, 523, 444], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [365, 217, 513, 333], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [345, 88, 504, 214], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [242, 119, 391, 234], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [160, 146, 294, 249], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [178, 252, 304, 348], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [264, 237, 405, 344], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [277, 346, 408, 444], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [189, 353, 308, 444], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [202, 447, 319, 537], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [288, 450, 412, 546], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [300, 548, 428, 644], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [217, 539, 336, 631], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [230, 628, 346, 718], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [311, 642, 439, 741], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [323, 736, 450, 833], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [241, 714, 357, 804], \"label\": \"full portable gas cylinder\"}\n]\n```", "correct": true, "input_tokens": 1203, "output_tokens": 1564, "elapsed_seconds": 20.39944062498398, "metadata": {"match_method": "map", "num_predictions": 42, "num_ground_truth": 42, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 20.518}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 190, "image": "0000242_03668_d_0000012_jpg.rf.06096e6f084464419e172f0d35ca4d48.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [777, 157, 964, 227], \"label\": \"car\"},\n {\"box_2d\": [603, 621, 1000, 770], \"label\": \"bus\"},\n {\"box_2d\": [557, 689, 631, 742], \"label\": \"car\"},\n {\"box_2d\": [448, 488, 535, 521], \"label\": \"car\"},\n {\"box_2d\": [453, 320, 550, 360], \"label\": \"car\"},\n {\"box_2d\": [422, 177, 455, 216], \"label\": \"tricycle\"},\n {\"box_2d\": [400, 106, 433, 134], \"label\": \"motorcycle\"},\n {\"box_2d\": [396, 42, 437, 96], \"label\": \"tricycle\"},\n {\"box_2d\": [353, 111, 405, 184], \"label\": \"car\"},\n {\"box_2d\": [307, 241, 368, 302], \"label\": \"car\"},\n {\"box_2d\": [274, 59, 333, 103], \"label\": \"van\"},\n {\"box_2d\": [248, 511, 301, 537], \"label\": \"car\"},\n {\"box_2d\": [224, 306, 287, 338], \"label\": \"car\"},\n {\"box_2d\": [311, 715, 357, 779], \"label\": \"car\"},\n {\"box_2d\": [375, 864, 431, 905], \"label\": \"car\"},\n {\"box_2d\": [135, 543, 179, 566], \"label\": \"car\"},\n {\"box_2d\": [31, 480, 62, 496], \"label\": \"car\"},\n {\"box_2d\": [133, 521, 161, 534], \"label\": \"tricycle\"},\n {\"box_2d\": [231, 860, 266, 876], \"label\": \"tricycle\"},\n {\"box_2d\": [409, 192, 444, 206], \"label\": \"person\"},\n {\"box_2d\": [390, 111, 424, 125], \"label\": \"person\"},\n {\"box_2d\": [390, 68, 425, 82], \"label\": \"person\"}\n]\n```", "correct": false, "input_tokens": 1253, "output_tokens": 758, "elapsed_seconds": 11.51716591604054, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 41, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.4513201117515564, "attempts": 1, "retries": 0, "total_seconds": 11.5525}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 191, "image": "DJI_20230529111835_0160_T_JPG_jpg.rf.cb5b9a9d87fdc7c9ff407eb5530abb88.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [92, 608, 191, 653], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [98, 530, 195, 572], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [102, 488, 197, 531], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [103, 447, 198, 492], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [445, 589, 542, 633], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [450, 508, 545, 550], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [361, 384, 455, 427], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [425, 961, 522, 1000], \"label\": \"solar panel hot spot\"}\n]\n```", "correct": false, "input_tokens": 1228, "output_tokens": 307, "elapsed_seconds": 9.345956249977462, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 9.3689}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 192, "image": "oil-tank-detection_oiltank_72_jpg.rf.bfd5af54297ea9f409419db50cd04705.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [235, 281, 353, 412], \"label\": \"oil tank\"},\n {\"box_2d\": [345, 336, 466, 471], \"label\": \"oil tank\"},\n {\"box_2d\": [343, 461, 463, 594], \"label\": \"oil tank\"},\n {\"box_2d\": [461, 396, 588, 535], \"label\": \"oil tank\"},\n {\"box_2d\": [585, 459, 718, 603], \"label\": \"oil tank\"},\n {\"box_2d\": [678, 236, 818, 382], \"label\": \"oil tank\"},\n {\"box_2d\": [566, 184, 697, 323], \"label\": \"oil tank\"},\n {\"box_2d\": [460, 136, 581, 272], \"label\": \"oil tank\"},\n {\"box_2d\": [551, 0, 675, 135], \"label\": \"oil tank\"},\n {\"box_2d\": [661, 41, 795, 184], \"label\": \"oil tank\"},\n {\"box_2d\": [781, 90, 922, 234], \"label\": \"oil tank\"}\n]\n```", "correct": true, "input_tokens": 1217, "output_tokens": 393, "elapsed_seconds": 11.59985975001473, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 11.68}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 193, "image": "fall-detection_11_mp4-445_jpg.rf.ec9538d8514a0521c6f155cde47497f3.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [500, 611, 567, 712], \"label\": \"fallen person\"},\n {\"box_2d\": [489, 825, 536, 948], \"label\": \"fallen person\"},\n {\"box_2d\": [686, 222, 781, 369], \"label\": \"fallen person\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 117, "elapsed_seconds": 3.066887916997075, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 3.0843}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 194, "image": "IMG_0619_jpeg.rf.c3c23da72f8dbeb2815ccc4646178889.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [266, 309, 349, 376], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [260, 479, 330, 542], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [320, 545, 409, 608], \"label\": \"caramel corn jelly bean\"},\n {\"box_2d\": [347, 749, 434, 839], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [347, 360, 447, 422], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [482, 185, 610, 278], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [623, 344, 756, 475], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [600, 578, 749, 675], \"label\": \"peach jelly bean\"},\n {\"box_2d\": [453, 495, 570, 577], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [484, 676, 573, 788], \"label\": \"peach jelly bean\"},\n {\"box_2d\": [254, 639, 323, 701], \"label\": \"mixed berry smoothie jelly bean\"}\n]\n```", "correct": true, "input_tokens": 1230, "output_tokens": 428, "elapsed_seconds": 35.084058917011134, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 35.1412}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 195, "image": "GP010243_JPG_jpg.rf.64d32b7106e99e9f954d84ee868d21ec.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [58, 353, 250, 386], \"label\": \"carrot\"},\n {\"box_2d\": [88, 388, 217, 459], \"label\": \"carrot\"},\n {\"box_2d\": [161, 392, 300, 444], \"label\": \"carrot\"},\n {\"box_2d\": [166, 372, 311, 417], \"label\": \"carrot\"},\n {\"box_2d\": [134, 470, 319, 570], \"label\": \"carrot\"},\n {\"box_2d\": [92, 445, 223, 500], \"label\": \"carrot\"},\n {\"box_2d\": [89, 497, 180, 616], \"label\": \"carrot\"},\n {\"box_2d\": [130, 566, 330, 606], \"label\": \"carrot\"},\n {\"box_2d\": [147, 523, 219, 681], \"label\": \"carrot\"},\n {\"box_2d\": [158, 622, 294, 686], \"label\": \"carrot\"},\n {\"box_2d\": [217, 611, 364, 691], \"label\": \"carrot\"},\n {\"box_2d\": [230, 614, 389, 706], \"label\": \"carrot\"},\n {\"box_2d\": [280, 678, 422, 708], \"label\": \"carrot\"},\n {\"box_2d\": [259, 473, 405, 608], \"label\": \"carrot\"},\n {\"box_2d\": [270, 450, 475, 488], \"label\": \"carrot\"},\n {\"box_2d\": [291, 484, 422, 509], \"label\": \"carrot\"},\n {\"box_2d\": [283, 344, 381, 453], \"label\": \"carrot\"},\n {\"box_2d\": [341, 408, 522, 442], \"label\": \"carrot\"},\n {\"box_2d\": [370, 392, 541, 417], \"label\": \"carrot\"},\n {\"box_2d\": [433, 344, 589, 395], \"label\": \"carrot\"},\n {\"box_2d\": [525, 341, 575, 473], \"label\": \"carrot\"},\n {\"box_2d\": [612, 384, 728, 444], \"label\": \"carrot\"},\n {\"box_2d\": [625, 386, 756, 544], \"label\": \"carrot\"},\n {\"box_2d\": [609, 472, 650, 652], \"label\": \"carrot\"},\n {\"box_2d\": [581, 484, 614, 686], \"label\": \"carrot\"},\n {\"box_2d\": [498, 422, 536, 572], \"label\": \"carrot\"},\n {\"box_2d\": [472, 425, 498, 573], \"label\": \"carrot\"},\n {\"box_2d\": [373, 558, 484, 683], \"label\": \"carrot\"},\n {\"box_2d\": [397, 489, 453, 631], \"label\": \"carrot\"},\n {\"box_2d\": [347, 597, 509, 623], \"label\": \"carrot\"},\n {\"box_2d\": [423, 567, 519, 605], \"label\": \"carrot\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 1062, "elapsed_seconds": 12.87542116700206, "metadata": {"match_method": "map", "num_predictions": 31, "num_ground_truth": 31, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 12.9056}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 196, "image": "AF6880-9_2025_NCPT-169_JPG_jpg.rf.ea0bce7069f12d5c1ba29710a0998228.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [58, 190, 146, 227], \"label\": \"potato\"},\n {\"box_2d\": [13, 238, 79, 265], \"label\": \"potato\"},\n {\"box_2d\": [79, 238, 147, 267], \"label\": \"potato\"},\n {\"box_2d\": [146, 233, 223, 266], \"label\": \"potato\"},\n {\"box_2d\": [32, 286, 89, 307], \"label\": \"potato\"},\n {\"box_2d\": [59, 320, 155, 355], \"label\": \"potato\"},\n {\"box_2d\": [9, 371, 86, 401], \"label\": \"potato\"},\n {\"box_2d\": [94, 369, 161, 399], \"label\": \"potato\"},\n {\"box_2d\": [163, 371, 235, 398], \"label\": \"potato\"},\n {\"box_2d\": [72, 412, 142, 443], \"label\": \"potato\"},\n {\"box_2d\": [142, 408, 250, 449], \"label\": \"potato\"},\n {\"box_2d\": [227, 361, 276, 383], \"label\": \"potato\"},\n {\"box_2d\": [277, 358, 390, 404], \"label\": \"potato\"},\n {\"box_2d\": [250, 275, 347, 311], \"label\": \"potato\"},\n {\"box_2d\": [400, 234, 460, 261], \"label\": \"potato\"},\n {\"box_2d\": [322, 321, 425, 360], \"label\": \"potato\"},\n {\"box_2d\": [427, 276, 517, 308], \"label\": \"potato\"},\n {\"box_2d\": [525, 275, 616, 311], \"label\": \"potato\"},\n {\"box_2d\": [641, 273, 728, 306], \"label\": \"potato\"},\n {\"box_2d\": [670, 231, 748, 262], \"label\": \"potato\"},\n {\"box_2d\": [728, 275, 804, 303], \"label\": \"potato\"},\n {\"box_2d\": [454, 320, 533, 349], \"label\": \"potato\"},\n {\"box_2d\": [590, 317, 670, 350], \"label\": \"potato\"},\n {\"box_2d\": [389, 365, 473, 397], \"label\": \"potato\"},\n {\"box_2d\": [473, 360, 574, 399], \"label\": \"potato\"},\n {\"box_2d\": [248, 410, 343, 444], \"label\": \"potato\"},\n {\"box_2d\": [341, 413, 395, 437], \"label\": \"potato\"},\n {\"box_2d\": [398, 400, 495, 440], \"label\": \"potato\"},\n {\"box_2d\": [504, 401, 612, 437], \"label\": \"potato\"},\n {\"box_2d\": [5, 454, 108, 497], \"label\": \"potato\"},\n {\"box_2d\": [110, 454, 206, 489], \"label\": \"potato\"},\n {\"box_2d\": [206, 452, 290, 489], \"label\": \"potato\"},\n {\"box_2d\": [288, 446, 363, 478], \"label\": \"potato\"},\n {\"box_2d\": [363, 448, 463, 489], \"label\": \"potato\"},\n {\"box_2d\": [51, 501, 134, 536], \"label\": \"potato\"},\n {\"box_2d\": [134, 502, 212, 531], \"label\": \"potato\"},\n {\"box_2d\": [213, 503, 279, 529], \"label\": \"potato\"},\n {\"box_2d\": [279, 500, 376, 537], \"label\": \"potato\"},\n {\"box_2d\": [228, 543, 313, 573], \"label\": \"potato\"},\n {\"box_2d\": [77, 586, 168, 620], \"label\": \"potato\"},\n {\"box_2d\": [237, 581, 351, 620], \"label\": \"potato\"},\n {\"box_2d\": [383, 536, 483, 580], \"label\": \"potato\"},\n {\"box_2d\": [485, 493, 597, 540], \"label\": \"potato\"},\n {\"box_2d\": [514, 451, 589, 483], \"label\": \"potato\"},\n {\"box_2d\": [606, 446, 692, 483], \"label\": \"potato\"},\n {\"box_2d\": [655, 401, 747, 440], \"label\": \"potato\"},\n {\"box_2d\": [661, 365, 728, 392], \"label\": \"potato\"},\n {\"box_2d\": [727, 355, 825, 398], \"label\": \"potato\"},\n {\"box_2d\": [825, 353, 927, 393], \"label\": \"potato\"},\n {\"box_2d\": [925, 360, 1000, 397], \"label\": \"potato\"},\n {\"box_2d\": [918, 314, 1000, 345], \"label\": \"potato\"},\n {\"box_2d\": [862, 398, 941, 434], \"label\": \"potato\"},\n {\"box_2d\": [937, 405, 1000, 434], \"label\": \"potato\"},\n {\"box_2d\": [764, 487, 856, 529], \"label\": \"potato\"},\n {\"box_2d\": [857, 492, 932, 520], \"label\": \"potato\"},\n {\"box_2d\": [931, 489, 1000, 524], \"label\": \"potato\"},\n {\"box_2d\": [562, 585, 633, 611], \"label\": \"potato\"},\n {\"box_2d\": [637, 582, 727, 610], \"label\": \"potato\"},\n {\"box_2d\": [6, 634, 94, 664], \"label\": \"potato\"},\n {\"box_2d\": [92, 633, 174, 670], \"label\": \"potato\"},\n {\"box_2d\": [174, 634, 234, 660], \"label\": \"potato\"},\n {\"box_2d\": [194, 671, 293, 707], \"label\": \"potato\"},\n {\"box_2d\": [420, 670, 513, 704], \"label\": \"potato\"},\n {\"box_2d\": [570, 670, 630, 695], \"label\": \"potato\"},\n {\"box_2d\": [821, 664, 913, 698], \"label\": \"potato\"},\n {\"box_2d\": [579, 752, 681, 790], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 2240, "elapsed_seconds": 120.09244762500748, "metadata": {"match_method": "map", "num_predictions": 66, "num_ground_truth": 67, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9801980257034302, "attempts": 1, "retries": 0, "total_seconds": 120.8039}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 197, "image": "frame_0086_jpg.rf.5ae0e80356e2c5bb993a052e5023c7f1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [111, 327, 152, 351], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [27, 340, 68, 362], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [29, 395, 67, 417], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [32, 452, 71, 474], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [37, 509, 75, 530], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [125, 500, 165, 524], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [117, 441, 158, 464], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [113, 383, 153, 406], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [654, 300, 703, 325], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [656, 362, 706, 386], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [669, 424, 718, 450], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [682, 489, 732, 514], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [797, 487, 847, 512], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [781, 421, 833, 447], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [769, 357, 821, 381], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [762, 297, 814, 320], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [881, 294, 926, 316], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [886, 355, 933, 378], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [900, 419, 946, 443], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [914, 483, 960, 508], \"label\": \"soda bottle cap\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 724, "elapsed_seconds": 54.27455191698391, "metadata": {"match_method": "map", "num_predictions": 20, "num_ground_truth": 20, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 54.8716}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 198, "image": "image_147_png_jpg.rf.fd3e0f5032b1ae386c027b1058ac751a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [117, 673, 405, 891], \"label\": \"tire size text\"},\n {\"box_2d\": [419, 86, 783, 211], \"label\": \"tire size text\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 83, "elapsed_seconds": 8.313853541971184, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 8.7565}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 199, "image": "fabric-defect_1080_jpg.rf.77a4ab03e25cfeeaaa1f6bbdcb3e7742.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [565, 489, 670, 743], \"label\": \"fabric cut\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 47, "elapsed_seconds": 10.862031874945387, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 10.8746}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 200, "image": "oil-tank-detection_oiltank_137_jpg.rf.be33343bf10652832014b855d080a80c.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [77, 459, 232, 591], \"label\": \"oil tank\"},\n {\"box_2d\": [227, 449, 382, 581], \"label\": \"oil tank\"},\n {\"box_2d\": [393, 443, 540, 575], \"label\": \"oil tank\"},\n {\"box_2d\": [540, 445, 686, 567], \"label\": \"oil tank\"},\n {\"box_2d\": [92, 592, 237, 725], \"label\": \"oil tank\"},\n {\"box_2d\": [237, 588, 391, 722], \"label\": \"oil tank\"},\n {\"box_2d\": [395, 584, 549, 717], \"label\": \"oil tank\"},\n {\"box_2d\": [553, 588, 695, 709], \"label\": \"oil tank\"},\n {\"box_2d\": [363, 722, 495, 835], \"label\": \"oil tank\"},\n {\"box_2d\": [229, 726, 360, 840], \"label\": \"oil tank\"},\n {\"box_2d\": [99, 728, 226, 839], \"label\": \"oil tank\"},\n {\"box_2d\": [117, 842, 196, 920], \"label\": \"oil tank\"},\n {\"box_2d\": [194, 839, 275, 920], \"label\": \"oil tank\"},\n {\"box_2d\": [274, 839, 358, 920], \"label\": \"oil tank\"},\n {\"box_2d\": [356, 840, 440, 921], \"label\": \"oil tank\"},\n {\"box_2d\": [438, 841, 527, 921], \"label\": \"oil tank\"},\n {\"box_2d\": [579, 843, 672, 919], \"label\": \"oil tank\"}\n]\n```", "correct": true, "input_tokens": 1217, "output_tokens": 604, "elapsed_seconds": 9.037301333039068, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 17, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 9.1166}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 201, "image": "basketball-player-detection_boston-celtics-new-york-knicks-game-1-q1-05-13-05-09-0000_png.rf.31fd4573143b8c82031c8804c4754e40.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [324, 198, 349, 213], \"label\": \"basketball\"},\n {\"box_2d\": [676, 631, 907, 678], \"label\": \"referee\"},\n {\"box_2d\": [729, 652, 745, 663], \"label\": \"jersey number\"},\n {\"box_2d\": [578, 466, 804, 531], \"label\": \"player\"},\n {\"box_2d\": [482, 483, 686, 529], \"label\": \"player\"},\n {\"box_2d\": [399, 224, 650, 275], \"label\": \"player\"},\n {\"box_2d\": [461, 243, 485, 251], \"label\": \"jersey number\"},\n {\"box_2d\": [357, 130, 610, 181], \"label\": \"player\"},\n {\"box_2d\": [306, 296, 489, 355], \"label\": \"player\"},\n {\"box_2d\": [291, 159, 456, 200], \"label\": \"player in possession\"},\n {\"box_2d\": [224, 9, 399, 69], \"label\": \"referee\"},\n {\"box_2d\": [196, 538, 377, 591], \"label\": \"player\"},\n {\"box_2d\": [250, 657, 456, 695], \"label\": \"player\"},\n {\"box_2d\": [294, 671, 314, 679], \"label\": \"jersey number\"},\n {\"box_2d\": [227, 560, 249, 567], \"label\": \"jersey number\"},\n {\"box_2d\": [211, 743, 376, 782], \"label\": \"referee\"},\n {\"box_2d\": [174, 667, 356, 704], \"label\": \"player\"},\n {\"box_2d\": [141, 533, 307, 564], \"label\": \"player\"},\n {\"box_2d\": [194, 712, 256, 750], \"label\": \"basket rim\"}\n]\n```", "correct": false, "input_tokens": 1250, "output_tokens": 665, "elapsed_seconds": 16.21457383292727, "metadata": {"match_method": "map", "num_predictions": 19, "num_ground_truth": 23, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6952694654464722, "attempts": 1, "retries": 0, "total_seconds": 16.3455}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 202, "image": "z4517190790071_c6f2ede212488ea95f254bbe631608fc_jpg.rf.f7f6570fcaaac50f965457b35ee9278d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [158, 351, 261, 505], \"label\": \"10 poker chip\"},\n {\"box_2d\": [229, 588, 339, 752], \"label\": \"50 poker chip\"},\n {\"box_2d\": [282, 241, 394, 404], \"label\": \"20 poker chip\"},\n {\"box_2d\": [293, 441, 406, 603], \"label\": \"20 poker chip\"},\n {\"box_2d\": [345, 772, 464, 945], \"label\": \"5000 poker chip\"},\n {\"box_2d\": [364, 103, 483, 274], \"label\": \"100 poker chip\"},\n {\"box_2d\": [422, 359, 545, 528], \"label\": \"20 poker chip\"},\n {\"box_2d\": [426, 607, 551, 783], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [549, 700, 688, 886], \"label\": \"500 poker chip\"},\n {\"box_2d\": [457, 187, 585, 362], \"label\": \"10 poker chip\"},\n {\"box_2d\": [549, 27, 686, 207], \"label\": \"50 poker chip\"},\n {\"box_2d\": [574, 249, 714, 431], \"label\": \"20 poker chip\"},\n {\"box_2d\": [526, 457, 662, 636], \"label\": \"20 poker chip\"},\n {\"box_2d\": [706, 397, 862, 591], \"label\": \"50 poker chip\"},\n {\"box_2d\": [693, 603, 846, 798], \"label\": \"50 poker chip\"}\n]\n```", "correct": true, "input_tokens": 1246, "output_tokens": 572, "elapsed_seconds": 43.262849665945396, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 43.5577}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 203, "image": "0000272_05500_d_0000012_jpg.rf.4ba2cfdc69b70f306855d444db49f509.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [774, 353, 850, 369], \"label\": \"person\"},\n {\"box_2d\": [715, 404, 780, 419], \"label\": \"person\"},\n {\"box_2d\": [749, 402, 800, 421], \"label\": \"bike\"},\n {\"box_2d\": [869, 456, 1000, 514], \"label\": \"car\"},\n {\"box_2d\": [617, 581, 731, 643], \"label\": \"car\"},\n {\"box_2d\": [595, 479, 737, 526], \"label\": \"car\"},\n {\"box_2d\": [420, 483, 516, 518], \"label\": \"car\"},\n {\"box_2d\": [420, 414, 474, 427], \"label\": \"person\"},\n {\"box_2d\": [284, 487, 361, 519], \"label\": \"car\"},\n {\"box_2d\": [490, 673, 550, 690], \"label\": \"person\"},\n {\"box_2d\": [430, 847, 460, 870], \"label\": \"motorcycle\"},\n {\"box_2d\": [280, 784, 323, 807], \"label\": \"tricycle\"},\n {\"box_2d\": [237, 809, 287, 819], \"label\": \"person\"},\n {\"box_2d\": [240, 799, 284, 809], \"label\": \"person\"},\n {\"box_2d\": [336, 610, 376, 622], \"label\": \"person\"},\n {\"box_2d\": [259, 567, 321, 588], \"label\": \"awning tricycle\"},\n {\"box_2d\": [231, 529, 283, 554], \"label\": \"car\"},\n {\"box_2d\": [174, 586, 220, 612], \"label\": \"car\"},\n {\"box_2d\": [186, 484, 250, 505], \"label\": \"van\"},\n {\"box_2d\": [206, 461, 240, 469], \"label\": \"person\"},\n {\"box_2d\": [134, 448, 169, 455], \"label\": \"person\"},\n {\"box_2d\": [26, 519, 57, 536], \"label\": \"car\"},\n {\"box_2d\": [7, 556, 33, 569], \"label\": \"car\"},\n {\"box_2d\": [36, 558, 70, 574], \"label\": \"car\"},\n {\"box_2d\": [77, 563, 107, 581], \"label\": \"car\"},\n {\"box_2d\": [199, 396, 236, 426], \"label\": \"car\"},\n {\"box_2d\": [296, 385, 344, 405], \"label\": \"tricycle\"},\n {\"box_2d\": [336, 384, 394, 402], \"label\": \"awning tricycle\"},\n {\"box_2d\": [109, 425, 160, 441], \"label\": \"car\"},\n {\"box_2d\": [59, 426, 120, 449], \"label\": \"truck\"},\n {\"box_2d\": [29, 434, 70, 452], \"label\": \"van\"},\n {\"box_2d\": [0, 460, 17, 474], \"label\": \"car\"}\n]\n```", "correct": false, "input_tokens": 1251, "output_tokens": 1091, "elapsed_seconds": 13.963226500083692, "metadata": {"match_method": "map", "num_predictions": 32, "num_ground_truth": 48, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.47019389271736145, "attempts": 1, "retries": 0, "total_seconds": 14.0297}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 204, "image": "IMG_20251126_160326_jpg.rf.31a216199c4280d746f5865a68a63ce2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [686, 33, 777, 103], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [664, 118, 950, 193], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [680, 241, 769, 310], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [658, 311, 767, 386], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [670, 382, 765, 450], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [666, 463, 761, 531], \"label\": \"white standard price tag\"},\n {\"box_2d\": [644, 591, 922, 667], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [657, 688, 756, 757], \"label\": \"white standard price tag\"},\n {\"box_2d\": [0, 475, 194, 553], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [0, 628, 179, 710], \"label\": \"yellow large price tag\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 377, "elapsed_seconds": 11.75462962500751, "metadata": {"match_method": "map", "num_predictions": 10, "num_ground_truth": 10, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 12.172}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 205, "image": "54_jpg.rf.3f4031b98a1a0622e63a0c84142db646.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [46, 107, 121, 350], \"label\": \"blood sample tube\"},\n {\"box_2d\": [398, 106, 696, 243], \"label\": \"blood sample tube\"},\n {\"box_2d\": [309, 225, 631, 276], \"label\": \"blood sample tube\"},\n {\"box_2d\": [687, 117, 749, 360], \"label\": \"blood sample tube\"},\n {\"box_2d\": [40, 292, 326, 450], \"label\": \"blood sample tube\"},\n {\"box_2d\": [173, 318, 421, 514], \"label\": \"blood sample tube\"},\n {\"box_2d\": [376, 303, 684, 426], \"label\": \"blood sample tube\"},\n {\"box_2d\": [293, 370, 598, 496], \"label\": \"blood sample tube\"},\n {\"box_2d\": [410, 370, 710, 515], \"label\": \"blood sample tube\"},\n {\"box_2d\": [679, 415, 743, 660], \"label\": \"blood sample tube\"},\n {\"box_2d\": [332, 471, 614, 637], \"label\": \"blood sample tube\"},\n {\"box_2d\": [540, 553, 728, 787], \"label\": \"blood sample tube\"},\n {\"box_2d\": [510, 648, 692, 885], \"label\": \"blood sample tube\"},\n {\"box_2d\": [423, 615, 606, 850], \"label\": \"blood sample tube\"},\n {\"box_2d\": [189, 557, 464, 737], \"label\": \"blood sample tube\"},\n {\"box_2d\": [231, 642, 506, 825], \"label\": \"blood sample tube\"},\n {\"box_2d\": [46, 451, 240, 676], \"label\": \"blood sample tube\"},\n {\"box_2d\": [18, 542, 95, 787], \"label\": \"blood sample tube\"},\n {\"box_2d\": [70, 650, 378, 787], \"label\": \"blood sample tube\"},\n {\"box_2d\": [48, 782, 375, 835], \"label\": \"blood sample tube\"},\n {\"box_2d\": [154, 828, 482, 879], \"label\": \"blood sample tube\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 761, "elapsed_seconds": 9.241486208047718, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 21, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 9.2723}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 206, "image": "car-part-detection_Car-damages-100_png_jpg.rf.662e4c271efc89eea96c10e14886a134.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [224, 344, 366, 537], \"label\": \"front window\"},\n {\"box_2d\": [314, 322, 366, 344], \"label\": \"mirror\"},\n {\"box_2d\": [392, 124, 429, 160], \"label\": \"headlight\"},\n {\"box_2d\": [410, 102, 575, 181], \"label\": \"front bumper\"},\n {\"box_2d\": [323, 140, 389, 297], \"label\": \"hood\"},\n {\"box_2d\": [224, 300, 583, 537], \"label\": \"front door\"},\n {\"box_2d\": [224, 524, 594, 767], \"label\": \"back door\"},\n {\"box_2d\": [224, 551, 356, 759], \"label\": \"back window\"},\n {\"box_2d\": [427, 838, 608, 960], \"label\": \"back bumper\"},\n {\"box_2d\": [368, 879, 439, 954], \"label\": \"tail light\"}\n]\n```", "correct": false, "input_tokens": 1273, "output_tokens": 360, "elapsed_seconds": 6.215457333019003, "metadata": {"match_method": "map", "num_predictions": 10, "num_ground_truth": 13, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.666666567325592, "attempts": 1, "retries": 0, "total_seconds": 6.2343}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 207, "image": "11_jpeg_jpg.rf.39329fe23320cf7bc33af6b9a57582d1.jpg", "expected": "", "predicted": "```json\n[{\"box_2d\": [77, 259, 181, 339], \"label\": \"potato\"}, {\"box_2d\": [298, 34, 421, 134], \"label\": \"potato\"}, {\"box_2d\": [298, 346, 391, 434], \"label\": \"potato\"}, {\"box_2d\": [525, 229, 659, 316], \"label\": \"potato\"}, {\"box_2d\": [501, 202, 604, 305], \"label\": \"potato\"}, {\"box_2d\": [699, 323, 829, 432], \"label\": \"potato\"}, {\"box_2d\": [914, 315, 1000, 421], \"label\": \"potato\"}, {\"box_2d\": [489, 405, 593, 497], \"label\": \"potato\"}, {\"box_2d\": [653, 511, 820, 621], \"label\": \"potato\"}, {\"box_2d\": [503, 619, 593, 701], \"label\": \"potato\"}, {\"box_2d\": [88, 643, 181, 738], \"label\": \"potato\"}, {\"box_2d\": [503, 790, 602, 878], \"label\": \"potato\"}, {\"box_2d\": [712, 703, 811, 782], \"label\": \"potato\"}, {\"box_2d\": [705, 813, 807, 882], \"label\": \"potato\"}, {\"box_2d\": [899, 744, 1000, 839], \"label\": \"potato\"}]\n```", "correct": true, "input_tokens": 1240, "output_tokens": 488, "elapsed_seconds": 6.621769500081427, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8303630352020264, "attempts": 1, "retries": 0, "total_seconds": 6.6638}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 208, "image": "oil-tank-detection_oiltank_3_jpg.rf.be0eb144cee15c2f85755ead464dc286.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [105, 73, 232, 173], \"label\": \"oil tank\"},\n {\"box_2d\": [100, 229, 228, 330], \"label\": \"oil tank\"},\n {\"box_2d\": [278, 231, 409, 332], \"label\": \"oil tank\"},\n {\"box_2d\": [283, 73, 415, 174], \"label\": \"oil tank\"},\n {\"box_2d\": [269, 463, 402, 565], \"label\": \"oil tank\"},\n {\"box_2d\": [90, 459, 219, 559], \"label\": \"oil tank\"},\n {\"box_2d\": [84, 615, 213, 715], \"label\": \"oil tank\"},\n {\"box_2d\": [263, 622, 396, 723], \"label\": \"oil tank\"},\n {\"box_2d\": [540, 134, 629, 198], \"label\": \"oil tank\"},\n {\"box_2d\": [537, 226, 626, 290], \"label\": \"oil tank\"}\n]\n```", "correct": true, "input_tokens": 1217, "output_tokens": 358, "elapsed_seconds": 7.365525083034299, "metadata": {"match_method": "map", "num_predictions": 10, "num_ground_truth": 10, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 7.4399}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 209, "image": "tile_558_jpg.rf.98aa48e6c54062f1e67b01de665e6887.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [77, 880, 99, 922], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [311, 569, 336, 602], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [345, 248, 379, 323], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [623, 339, 665, 421], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [869, 152, 901, 226], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [602, 838, 621, 892], \"label\": \"ship in SAR satellite image\"}\n]\n```", "correct": true, "input_tokens": 1229, "output_tokens": 238, "elapsed_seconds": 5.124059958034195, "metadata": {"match_method": "map", "num_predictions": 6, "num_ground_truth": 6, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 5.1706}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 210, "image": "20230224_110122_jpg.rf.94c8b9d6caaec8593c315337e30857d7.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [589, 196, 650, 286], \"label\": \"crack\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 46, "elapsed_seconds": 2.9116061250679195, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 2.9269}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 211, "image": "IMG_20220316_144550_jpg.rf.92c6d74a9ccc9c6c90918613d40eb144.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [553, 171, 1000, 513], \"label\": \"five of hearts\"},\n {\"box_2d\": [444, 405, 892, 667], \"label\": \"seven of hearts\"},\n {\"box_2d\": [286, 514, 672, 684], \"label\": \"eight of hearts\"},\n {\"box_2d\": [244, 290, 646, 521], \"label\": \"six of hearts\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 157, "elapsed_seconds": 5.471691916114651, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 5.4935}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 212, "image": "wood-log-detection_006_png_jpg.rf.45786538ddac406dd0014f409b1d4caa.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [56, 448, 223, 534], \"label\": \"log cross-section\"},\n {\"box_2d\": [58, 550, 211, 631], \"label\": \"log cross-section\"},\n {\"box_2d\": [83, 622, 178, 678], \"label\": \"log cross-section\"},\n {\"box_2d\": [109, 648, 198, 712], \"label\": \"log cross-section\"},\n {\"box_2d\": [162, 677, 255, 780], \"label\": \"log cross-section\"},\n {\"box_2d\": [164, 616, 255, 684], \"label\": \"log cross-section\"},\n {\"box_2d\": [148, 558, 255, 620], \"label\": \"log cross-section\"},\n {\"box_2d\": [120, 475, 255, 552], \"label\": \"log cross-section\"},\n {\"box_2d\": [127, 552, 239, 594], \"label\": \"log cross-section\"},\n {\"box_2d\": [120, 595, 234, 642], \"label\": \"log cross-section\"},\n {\"box_2d\": [191, 448, 253, 483], \"label\": \"log cross-section\"},\n {\"box_2d\": [120, 389, 256, 456], \"label\": \"log cross-section\"},\n {\"box_2d\": [88, 294, 256, 420], \"label\": \"log cross-section\"},\n {\"box_2d\": [208, 323, 256, 369], \"label\": \"log cross-section\"},\n {\"box_2d\": [95, 200, 255, 344], \"label\": \"log cross-section\"},\n {\"box_2d\": [186, 241, 258, 319], \"label\": \"log cross-section\"}\n]\n```", "correct": false, "input_tokens": 1228, "output_tokens": 599, "elapsed_seconds": 17.78787724999711, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 17.8158}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 213, "image": "Container_864_jpg.rf.9627e6adc1ff8e75c7d8ca9f8cc06311.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [96, 604, 195, 619], \"label\": \"container ISO type code\"},\n {\"box_2d\": [113, 543, 391, 566], \"label\": \"shipping container number\"},\n {\"box_2d\": [199, 912, 232, 926], \"label\": \"shipping container number\"},\n {\"box_2d\": [219, 938, 250, 963], \"label\": \"shipping container number\"},\n {\"box_2d\": [248, 938, 275, 955], \"label\": \"container ISO type code\"}\n]\n```", "correct": true, "input_tokens": 1232, "output_tokens": 193, "elapsed_seconds": 26.77439129096456, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 26.7915}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 214, "image": "uav20221018_ixfZ_3857_14_png.rf.64d1ce8897202b1ab5141c12ebcde0db.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 159, 44, 224], \"label\": \"banana tree\"},\n {\"box_2d\": [88, 179, 132, 209], \"label\": \"banana tree\"},\n {\"box_2d\": [46, 250, 82, 275], \"label\": \"banana tree\"},\n {\"box_2d\": [173, 173, 213, 217], \"label\": \"banana tree\"},\n {\"box_2d\": [123, 250, 169, 286], \"label\": \"banana tree\"},\n {\"box_2d\": [213, 246, 253, 274], \"label\": \"banana tree\"},\n {\"box_2d\": [261, 178, 293, 206], \"label\": \"banana tree\"},\n {\"box_2d\": [311, 245, 344, 276], \"label\": \"banana tree\"},\n {\"box_2d\": [345, 173, 398, 225], \"label\": \"banana tree\"},\n {\"box_2d\": [431, 180, 482, 218], \"label\": \"banana tree\"},\n {\"box_2d\": [395, 255, 424, 285], \"label\": \"banana tree\"},\n {\"box_2d\": [472, 251, 520, 294], \"label\": \"banana tree\"},\n {\"box_2d\": [520, 183, 562, 220], \"label\": \"banana tree\"},\n {\"box_2d\": [562, 251, 610, 289], \"label\": \"banana tree\"},\n {\"box_2d\": [602, 181, 650, 228], \"label\": \"banana tree\"},\n {\"box_2d\": [685, 173, 738, 234], \"label\": \"banana tree\"},\n {\"box_2d\": [641, 249, 703, 294], \"label\": \"banana tree\"},\n {\"box_2d\": [731, 243, 785, 292], \"label\": \"banana tree\"},\n {\"box_2d\": [779, 178, 827, 231], \"label\": \"banana tree\"},\n {\"box_2d\": [864, 178, 920, 237], \"label\": \"banana tree\"},\n {\"box_2d\": [832, 255, 875, 294], \"label\": \"banana tree\"},\n {\"box_2d\": [914, 254, 968, 304], \"label\": \"banana tree\"},\n {\"box_2d\": [958, 183, 999, 236], \"label\": \"banana tree\"},\n {\"box_2d\": [2, 469, 73, 540], \"label\": \"banana tree\"},\n {\"box_2d\": [93, 466, 165, 534], \"label\": \"banana tree\"},\n {\"box_2d\": [57, 557, 104, 594], \"label\": \"banana tree\"},\n {\"box_2d\": [173, 475, 251, 545], \"label\": \"banana tree\"},\n {\"box_2d\": [140, 546, 198, 603], \"label\": \"banana tree\"},\n {\"box_2d\": [235, 562, 272, 591], \"label\": \"banana tree\"},\n {\"box_2d\": [274, 487, 326, 531], \"label\": \"banana tree\"},\n {\"box_2d\": [315, 560, 360, 594], \"label\": \"banana tree\"},\n {\"box_2d\": [354, 478, 434, 543], \"label\": \"banana tree\"},\n {\"box_2d\": [401, 553, 444, 601], \"label\": \"banana tree\"},\n {\"box_2d\": [437, 483, 496, 542], \"label\": \"banana tree\"},\n {\"box_2d\": [525, 480, 585, 541], \"label\": \"banana tree\"},\n {\"box_2d\": [478, 567, 531, 601], \"label\": \"banana tree\"},\n {\"box_2d\": [581, 562, 623, 603], \"label\": \"banana tree\"},\n {\"box_2d\": [618, 484, 682, 547], \"label\": \"banana tree\"},\n {\"box_2d\": [661, 553, 709, 603], \"label\": \"banana tree\"},\n {\"box_2d\": [686, 480, 771, 564], \"label\": \"banana tree\"},\n {\"box_2d\": [749, 556, 789, 607], \"label\": \"banana tree\"},\n {\"box_2d\": [797, 482, 864, 543], \"label\": \"banana tree\"},\n {\"box_2d\": [838, 570, 867, 604], \"label\": \"banana tree\"},\n {\"box_2d\": [869, 493, 932, 545], \"label\": \"banana tree\"},\n {\"box_2d\": [925, 576, 956, 606], \"label\": \"banana tree\"},\n {\"box_2d\": [965, 492, 1000, 547], \"label\": \"banana tree\"},\n {\"box_2d\": [811, 785, 875, 842], \"label\": \"banana tree\"},\n {\"box_2d\": [767, 858, 820, 914], \"label\": \"banana tree\"},\n {\"box_2d\": [860, 865, 896, 902], \"label\": \"banana tree\"},\n {\"box_2d\": [898, 793, 962, 848], \"label\": \"banana tree\"},\n {\"box_2d\": [938, 866, 995, 915], \"label\": \"banana tree\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 1787, "elapsed_seconds": 37.249021791969426, "metadata": {"match_method": "map", "num_predictions": 51, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9513686895370483, "attempts": 1, "retries": 0, "total_seconds": 37.318}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 215, "image": "1704192313045_jpg.rf.f68f24072cd4a5061cddf9521b0b617a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [264, 603, 336, 686], \"label\": \"chickpea grain\"},\n {\"box_2d\": [430, 294, 514, 366], \"label\": \"chickpea grain\"},\n {\"box_2d\": [502, 439, 564, 511], \"label\": \"chickpea grain\"},\n {\"box_2d\": [697, 228, 780, 300], \"label\": \"chickpea grain\"},\n {\"box_2d\": [589, 731, 669, 806], \"label\": \"chickpea grain\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 192, "elapsed_seconds": 4.217871417058632, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 4.2385}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 216, "image": "A15311-6Ctrv_2025_NCPT-174_JPG_jpg.rf.fc9ee0cac2da2d059bc0db453be0c788.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [17, 170, 68, 190], \"label\": \"potato\"},\n {\"box_2d\": [107, 158, 200, 192], \"label\": \"potato\"},\n {\"box_2d\": [199, 162, 267, 191], \"label\": \"potato\"},\n {\"box_2d\": [105, 206, 185, 236], \"label\": \"potato\"},\n {\"box_2d\": [182, 243, 272, 280], \"label\": \"potato\"},\n {\"box_2d\": [75, 247, 157, 279], \"label\": \"potato\"},\n {\"box_2d\": [13, 254, 71, 277], \"label\": \"potato\"},\n {\"box_2d\": [11, 292, 93, 323], \"label\": \"potato\"},\n {\"box_2d\": [92, 293, 151, 319], \"label\": \"potato\"},\n {\"box_2d\": [147, 290, 226, 320], \"label\": \"potato\"},\n {\"box_2d\": [7, 340, 64, 365], \"label\": \"potato\"},\n {\"box_2d\": [65, 333, 154, 369], \"label\": \"potato\"},\n {\"box_2d\": [181, 320, 303, 366], \"label\": \"potato\"},\n {\"box_2d\": [300, 330, 398, 368], \"label\": \"potato\"},\n {\"box_2d\": [393, 281, 517, 324], \"label\": \"potato\"},\n {\"box_2d\": [377, 245, 456, 276], \"label\": \"potato\"},\n {\"box_2d\": [427, 202, 498, 229], \"label\": \"potato\"},\n {\"box_2d\": [566, 199, 646, 229], \"label\": \"potato\"},\n {\"box_2d\": [498, 244, 586, 278], \"label\": \"potato\"},\n {\"box_2d\": [517, 294, 550, 312], \"label\": \"potato\"},\n {\"box_2d\": [548, 292, 608, 315], \"label\": \"potato\"},\n {\"box_2d\": [607, 289, 672, 314], \"label\": \"potato\"},\n {\"box_2d\": [689, 286, 764, 314], \"label\": \"potato\"},\n {\"box_2d\": [804, 243, 886, 272], \"label\": \"potato\"},\n {\"box_2d\": [653, 334, 714, 359], \"label\": \"potato\"},\n {\"box_2d\": [561, 328, 654, 366], \"label\": \"potato\"},\n {\"box_2d\": [445, 328, 551, 366], \"label\": \"potato\"},\n {\"box_2d\": [485, 365, 598, 409], \"label\": \"potato\"},\n {\"box_2d\": [617, 369, 711, 404], \"label\": \"potato\"},\n {\"box_2d\": [715, 369, 804, 403], \"label\": \"potato\"},\n {\"box_2d\": [806, 375, 882, 401], \"label\": \"potato\"},\n {\"box_2d\": [610, 415, 691, 449], \"label\": \"potato\"},\n {\"box_2d\": [596, 456, 735, 497], \"label\": \"potato\"},\n {\"box_2d\": [733, 449, 842, 493], \"label\": \"potato\"},\n {\"box_2d\": [932, 458, 999, 488], \"label\": \"potato\"},\n {\"box_2d\": [827, 493, 952, 546], \"label\": \"potato\"},\n {\"box_2d\": [832, 546, 920, 578], \"label\": \"potato\"},\n {\"box_2d\": [918, 550, 972, 574], \"label\": \"potato\"},\n {\"box_2d\": [928, 722, 996, 749], \"label\": \"potato\"},\n {\"box_2d\": [705, 595, 776, 623], \"label\": \"potato\"},\n {\"box_2d\": [507, 591, 640, 639], \"label\": \"potato\"},\n {\"box_2d\": [454, 637, 551, 673], \"label\": \"potato\"},\n {\"box_2d\": [158, 590, 286, 645], \"label\": \"potato\"},\n {\"box_2d\": [27, 631, 150, 680], \"label\": \"potato\"},\n {\"box_2d\": [4, 600, 84, 631], \"label\": \"potato\"},\n {\"box_2d\": [4, 557, 90, 588], \"label\": \"potato\"},\n {\"box_2d\": [7, 514, 67, 537], \"label\": \"potato\"},\n {\"box_2d\": [123, 459, 241, 500], \"label\": \"potato\"},\n {\"box_2d\": [75, 421, 157, 453], \"label\": \"potato\"},\n {\"box_2d\": [155, 417, 265, 457], \"label\": \"potato\"},\n {\"box_2d\": [33, 380, 108, 408], \"label\": \"potato\"},\n {\"box_2d\": [107, 376, 189, 410], \"label\": \"potato\"},\n {\"box_2d\": [188, 377, 272, 410], \"label\": \"potato\"},\n {\"box_2d\": [270, 369, 373, 409], \"label\": \"potato\"},\n {\"box_2d\": [283, 414, 407, 455], \"label\": \"potato\"},\n {\"box_2d\": [409, 415, 507, 452], \"label\": \"potato\"},\n {\"box_2d\": [313, 454, 435, 503], \"label\": \"potato\"},\n {\"box_2d\": [433, 464, 503, 493], \"label\": \"potato\"},\n {\"box_2d\": [366, 501, 498, 543], \"label\": \"potato\"},\n {\"box_2d\": [401, 550, 499, 583], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 2028, "elapsed_seconds": 31.979466625023633, "metadata": {"match_method": "map", "num_predictions": 60, "num_ground_truth": 60, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 32.6955}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 217, "image": "signatures_image_15_png_jpg.rf.6b815d82f5451daedc9c9077d66f9599.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [243, 74, 289, 400], \"label\": \"signature\"},\n {\"box_2d\": [354, 71, 494, 434], \"label\": \"signature\"},\n {\"box_2d\": [230, 467, 281, 825], \"label\": \"signature\"},\n {\"box_2d\": [414, 511, 479, 750], \"label\": \"signature\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 146, "elapsed_seconds": 7.641043915995397, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 7.7514}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 218, "image": "lot222_JPEG_jpg.rf.50df16e1f4326083fe341ec20a62dbe4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [535, 246, 567, 286], \"label\": \"chicory seed\"},\n {\"box_2d\": [554, 286, 593, 315], \"label\": \"chicory seed\"},\n {\"box_2d\": [468, 196, 489, 234], \"label\": \"chicory seed\"},\n {\"box_2d\": [573, 319, 591, 362], \"label\": \"chicory seed\"},\n {\"box_2d\": [570, 370, 592, 412], \"label\": \"chicory seed\"},\n {\"box_2d\": [650, 386, 692, 408], \"label\": \"chicory seed\"},\n {\"box_2d\": [546, 429, 566, 471], \"label\": \"chicory seed\"},\n {\"box_2d\": [623, 524, 646, 566], \"label\": \"chicory seed\"},\n {\"box_2d\": [529, 502, 577, 521], \"label\": \"chicory seed\"},\n {\"box_2d\": [499, 537, 523, 577], \"label\": \"chicory seed\"},\n {\"box_2d\": [627, 461, 665, 489], \"label\": \"chicory seed\"},\n {\"box_2d\": [517, 546, 553, 581], \"label\": \"chicory seed\"},\n {\"box_2d\": [637, 478, 675, 499], \"label\": \"chicory seed\"},\n {\"box_2d\": [495, 679, 525, 720], \"label\": \"chicory seed\"},\n {\"box_2d\": [423, 596, 464, 619], \"label\": \"chicory seed\"},\n {\"box_2d\": [411, 577, 449, 595], \"label\": \"chicory seed\"},\n {\"box_2d\": [482, 715, 501, 756], \"label\": \"chicory seed\"},\n {\"box_2d\": [623, 593, 643, 635], \"label\": \"chicory seed\"},\n {\"box_2d\": [630, 718, 645, 759], \"label\": \"chicory seed\"},\n {\"box_2d\": [562, 623, 588, 667], \"label\": \"chicory seed\"},\n {\"box_2d\": [772, 404, 817, 426], \"label\": \"chicory seed\"},\n {\"box_2d\": [798, 638, 833, 658], \"label\": \"chicory seed\"},\n {\"box_2d\": [719, 415, 740, 453], \"label\": \"chicory seed\"},\n {\"box_2d\": [765, 289, 783, 330], \"label\": \"chicory seed\"},\n {\"box_2d\": [400, 307, 429, 345], \"label\": \"chicory seed\"},\n {\"box_2d\": [560, 467, 602, 491], \"label\": \"chicory seed\"},\n {\"box_2d\": [395, 217, 423, 255], \"label\": \"chicory seed\"},\n {\"box_2d\": [529, 173, 559, 211], \"label\": \"chicory seed\"},\n {\"box_2d\": [454, 463, 474, 504], \"label\": \"chicory seed\"},\n {\"box_2d\": [414, 612, 437, 653], \"label\": \"chicory seed\"},\n {\"box_2d\": [278, 281, 301, 318], \"label\": \"chicory seed\"},\n {\"box_2d\": [357, 424, 381, 459], \"label\": \"chicory seed\"},\n {\"box_2d\": [228, 371, 248, 412], \"label\": \"chicory seed\"},\n {\"box_2d\": [269, 245, 308, 279], \"label\": \"chicory seed\"},\n {\"box_2d\": [254, 535, 276, 578], \"label\": \"chicory seed\"},\n {\"box_2d\": [328, 501, 347, 543], \"label\": \"chicory seed\"},\n {\"box_2d\": [313, 355, 335, 398], \"label\": \"chicory seed\"},\n {\"box_2d\": [332, 795, 358, 835], \"label\": \"chicory seed\"},\n {\"box_2d\": [298, 613, 339, 640], \"label\": \"chicory seed\"},\n {\"box_2d\": [459, 556, 495, 587], \"label\": \"chicory seed\"},\n {\"box_2d\": [171, 553, 198, 591], \"label\": \"chicory seed\"},\n {\"box_2d\": [216, 534, 253, 567], \"label\": \"chicory seed\"},\n {\"box_2d\": [181, 544, 210, 580], \"label\": \"chicory seed\"},\n {\"box_2d\": [232, 490, 263, 526], \"label\": \"chicory seed\"},\n {\"box_2d\": [306, 258, 330, 297], \"label\": \"chicory seed\"},\n {\"box_2d\": [280, 542, 314, 578], \"label\": \"chicory seed\"},\n {\"box_2d\": [545, 366, 563, 409], \"label\": \"chicory seed\"},\n {\"box_2d\": [779, 672, 800, 711], \"label\": \"chicory seed\"},\n {\"box_2d\": [275, 439, 301, 478], \"label\": \"chicory seed\"},\n {\"box_2d\": [199, 410, 232, 444], \"label\": \"chicory seed\"},\n {\"box_2d\": [726, 665, 744, 704], \"label\": \"chicory seed\"},\n {\"box_2d\": [585, 622, 618, 661], \"label\": \"chicory seed\"},\n {\"box_2d\": [433, 681, 463, 711], \"label\": \"chicory seed\"},\n {\"box_2d\": [379, 365, 417, 396], \"label\": \"chicory seed\"},\n {\"box_2d\": [393, 530, 434, 557], \"label\": \"chicory seed\"},\n {\"box_2d\": [650, 412, 691, 435], \"label\": \"chicory seed\"},\n {\"box_2d\": [406, 417, 445, 446], \"label\": \"chicory seed\"},\n {\"box_2d\": [400, 253, 436, 286], \"label\": \"chicory seed\"},\n {\"box_2d\": [769, 459, 811, 483], \"label\": \"chicory seed\"},\n {\"box_2d\": [499, 391, 528, 432], \"label\": \"chicory seed\"},\n {\"box_2d\": [545, 478, 583, 502], \"label\": \"chicory seed\"},\n {\"box_2d\": [582, 366, 614, 405], \"label\": \"chicory seed\"},\n {\"box_2d\": [592, 601, 624, 629], \"label\": \"chicory seed\"},\n {\"box_2d\": [298, 441, 319, 482], \"label\": \"chicory seed\"},\n {\"box_2d\": [283, 513, 304, 552], \"label\": \"chicory seed\"},\n {\"box_2d\": [319, 444, 360, 466], \"label\": \"chicory seed\"},\n {\"box_2d\": [345, 344, 386, 369], \"label\": \"chicory seed\"},\n {\"box_2d\": [244, 278, 282, 308], \"label\": \"chicory seed\"},\n {\"box_2d\": [173, 462, 198, 499], \"label\": \"chicory seed\"},\n {\"box_2d\": [324, 282, 353, 321], \"label\": \"chicory seed\"},\n {\"box_2d\": [291, 744, 320, 777], \"label\": \"chicory seed\"},\n {\"box_2d\": [472, 442, 495, 478], \"label\": \"chicory seed\"},\n {\"box_2d\": [320, 313, 358, 344], \"label\": \"chicory seed\"},\n {\"box_2d\": [363, 730, 384, 773], \"label\": \"chicory seed\"},\n {\"box_2d\": [666, 560, 691, 602], \"label\": \"chicory seed\"},\n {\"box_2d\": [425, 650, 465, 677], \"label\": \"chicory seed\"},\n {\"box_2d\": [414, 219, 443, 258], \"label\": \"chicory seed\"},\n {\"box_2d\": [347, 365, 382, 396], \"label\": \"chicory seed\"},\n {\"box_2d\": [776, 441, 818, 461], \"label\": \"chicory seed\"},\n {\"box_2d\": [666, 353, 702, 386], \"label\": \"chicory seed\"},\n {\"box_2d\": [592, 526, 621, 566], \"label\": \"chicory seed\"},\n {\"box_2d\": [742, 646, 771, 686], \"label\": \"chicory seed\"},\n {\"box_2d\": [535, 535, 571, 573], \"label\": \"chicory seed\"},\n {\"box_2d\": [489, 364, 508, 405], \"label\": \"chicory seed\"},\n {\"box_2d\": [273, 488, 291, 529], \"label\": \"chicory seed\"},\n {\"box_2d\": [498, 273, 520, 313], \"label\": \"chicory seed\"},\n {\"box_2d\": [553, 527, 591, 559], \"label\": \"chicory seed\"},\n {\"box_2d\": [498, 424, 529, 462], \"label\": \"chicory seed\"},\n {\"box_2d\": [573, 709, 608, 733], \"label\": \"chicory seed\"},\n {\"box_2d\": [354, 817, 389, 853], \"label\": \"chicory seed\"},\n {\"box_2d\": [790, 491, 830, 514], \"label\": \"chicory seed\"},\n {\"box_2d\": [550, 671, 573, 712], \"label\": \"chicory seed\"},\n {\"box_2d\": [617, 297, 657, 320], \"label\": \"chicory seed\"},\n {\"box_2d\": [266, 397, 307, 420], \"label\": \"chicory seed\"},\n {\"box_2d\": [504, 725, 531, 767], \"label\": \"chicory seed\"},\n {\"box_2d\": [562, 211, 588, 250], \"label\": \"chicory seed\"},\n {\"box_2d\": [468, 796, 492, 839], \"label\": \"chicory seed\"},\n {\"box_2d\": [506, 605, 545, 623], \"label\": \"chicory seed\"},\n {\"box_2d\": [417, 395, 455, 419], \"label\": \"chicory seed\"},\n {\"box_2d\": [771, 317, 807, 347], \"label\": \"chicory seed\"},\n {\"box_2d\": [319, 465, 360, 492], \"label\": \"chicory seed\"},\n {\"box_2d\": [669, 456, 703, 491], \"label\": \"chicory seed\"},\n {\"box_2d\": [243, 502, 273, 541], \"label\": \"chicory seed\"},\n {\"box_2d\": [318, 534, 339, 578], \"label\": \"chicory seed\"},\n {\"box_2d\": [686, 292, 709, 329], \"label\": \"chicory seed\"},\n {\"box_2d\": [610, 712, 630, 755], \"label\": \"chicory seed\"},\n {\"box_2d\": [262, 355, 306, 383], \"label\": \"chicory seed\"},\n {\"box_2d\": [579, 496, 598, 538], \"label\": \"chicory seed\"},\n {\"box_2d\": [199, 657, 234, 691], \"label\": \"chicory seed\"},\n {\"box_2d\": [240, 306, 267, 346], \"label\": \"chicory seed\"},\n {\"box_2d\": [674, 642, 707, 680], \"label\": \"chicory seed\"},\n {\"box_2d\": [447, 187, 476, 224], \"label\": \"chicory seed\"},\n {\"box_2d\": [535, 811, 565, 849], \"label\": \"chicory seed\"},\n {\"box_2d\": [765, 360, 785, 401], \"label\": \"chicory seed\"},\n {\"box_2d\": [489, 229, 517, 266], \"label\": \"chicory seed\"},\n {\"box_2d\": [532, 765, 550, 804], \"label\": \"chicory seed\"},\n {\"box_2d\": [364, 680, 402, 708], \"label\": \"chicory seed\"},\n {\"box_2d\": [363, 700, 399, 734], \"label\": \"chicory seed\"},\n {\"box_2d\": [485, 658, 526, 684], \"label\": \"chicory seed\"},\n {\"box_2d\": [489, 483, 529, 505], \"label\": \"chicory seed\"},\n {\"box_2d\": [334, 215, 353, 255], \"label\": \"chicory seed\"},\n {\"box_2d\": [508, 362, 544, 403], \"label\": \"chicory seed\"},\n {\"box_2d\": [200, 471, 240, 489], \"label\": \"chicory seed\"},\n {\"box_2d\": [649, 634, 673, 674], \"label\": \"chicory seed\"},\n {\"box_2d\": [568, 756, 591, 796], \"label\": \"chicory seed\"},\n {\"box_2d\": [425, 364, 463, 386], \"label\": \"chicory seed\"},\n {\"box_2d\": [245, 427, 286, 456], \"label\": \"chicory seed\"},\n {\"box_2d\": [397, 769, 431, 804], \"label\": \"chicory seed\"},\n {\"box_2d\": [345, 244, 376, 285], \"label\": \"chicory seed\"},\n {\"box_2d\": [630, 545, 661, 586], \"label\": \"chicory seed\"},\n {\"box_2d\": [585, 662, 623, 685], \"label\": \"chicory seed\"},\n {\"box_2d\": [224, 593, 263, 616], \"label\": \"chicory seed\"},\n {\"box_2d\": [373, 279, 412, 309], \"label\": \"chicory seed\"},\n {\"box_2d\": [243, 466, 280, 497], \"label\": \"chicory seed\"},\n {\"box_2d\": [468, 301, 500, 338], \"label\": \"chicory seed\"},\n {\"box_2d\": [357, 268, 394, 297], \"label\": \"chicory seed\"},\n {\"box_2d\": [721, 583, 754, 625], \"label\": \"chicory seed\"},\n {\"box_2d\": [733, 389, 774, 406], \"label\": \"chicory seed\"},\n {\"box_2d\": [478, 594, 507, 635], \"label\": \"chicory seed\"},\n {\"box_2d\": [336, 491, 377, 510], \"label\": \"chicory seed\"},\n {\"box_2d\": [338, 540, 369, 582], \"label\": \"chicory seed\"},\n {\"box_2d\": [524, 304, 566, 324], \"label\": \"chicory seed\"},\n {\"box_2d\": [699, 514, 738, 542], \"label\": \"chicory seed\"},\n {\"box_2d\": [433, 478, 454, 520], \"label\": \"chicory seed\"},\n {\"box_2d\": [695, 236, 728, 270], \"label\": \"chicory seed\"},\n {\"box_2d\": [264, 578, 285, 621], \"label\": \"chicory seed\"},\n {\"box_2d\": [650, 340, 683, 377], \"label\": \"chicory seed\"},\n {\"box_2d\": [489, 464, 529, 488], \"label\": \"chicory seed\"},\n {\"box_2d\": [527, 667, 555, 706], \"label\": \"chicory seed\"},\n {\"box_2d\": [309, 394, 338, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [168, 502, 187, 542], \"label\": \"chicory seed\"},\n {\"box_2d\": [217, 695, 250, 731], \"label\": \"chicory seed\"},\n {\"box_2d\": [592, 406, 616, 444], \"label\": \"chicory seed\"},\n {\"box_2d\": [512, 346, 548, 379], \"label\": \"chicory seed\"},\n {\"box_2d\": [447, 639, 486, 660], \"label\": \"chicory seed\"},\n {\"box_2d\": [524, 402, 545, 443], \"label\": \"chicory seed\"},\n {\"box_2d\": [249, 650, 271, 689], \"label\": \"chicory seed\"},\n {\"box_2d\": [191, 489, 209, 531], \"label\": \"chicory seed\"},\n {\"box_2d\": [441, 500, 480, 530], \"label\": \"chicory seed\"},\n {\"box_2d\": [578, 445, 617, 466], \"label\": \"chicory seed\"},\n {\"box_2d\": [746, 449, 773, 489], \"label\": \"chicory seed\"},\n {\"box_2d\": [302, 497, 323, 540], \"label\": \"chicory seed\"},\n {\"box_2d\": [432, 282, 459, 323], \"label\": \"chicory seed\"},\n {\"box_2d\": [448, 297, 480, 337], \"label\": \"chicory seed\"},\n {\"box_2d\": [508, 267, 541, 304], \"label\": \"chicory seed\"},\n {\"box_2d\": [584, 678, 623, 707], \"label\": \"chicory seed\"},\n {\"box_2d\": [434, 522, 471, 557], \"label\": \"chicory seed\"},\n {\"box_2d\": [577, 690, 615, 719], \"label\": \"chicory seed\"},\n {\"box_2d\": [577, 255, 605, 294], \"label\": \"chicory seed\"},\n {\"box_2d\": [556, 407, 591, 444], \"label\": \"chicory seed\"},\n {\"box_2d\": [264, 635, 289, 677], \"label\": \"chicory seed\"},\n {\"box_2d\": [410, 171, 430, 213], \"label\": \"chicory seed\"},\n {\"box_2d\": [529, 622, 547, 663], \"label\": \"chicory seed\"},\n {\"box_2d\": [432, 745, 461, 783], \"label\": \"chicory seed\"},\n {\"box_2d\": [797, 657, 819, 697], \"label\": \"chicory seed\"},\n {\"box_2d\": [663, 719, 691, 760], \"label\": \"chicory seed\"},\n {\"box_2d\": [191, 444, 230, 464], \"label\": \"chicory seed\"},\n {\"box_2d\": [603, 646, 642, 664], \"label\": \"chicory seed\"},\n {\"box_2d\": [471, 366, 489, 406], \"label\": \"chicory seed\"},\n {\"box_2d\": [568, 560, 608, 590], \"label\": \"chicory seed\"},\n {\"box_2d\": [472, 567, 509, 604], \"label\": \"chicory seed\"},\n {\"box_2d\": [545, 577, 571, 618], \"label\": \"chicory seed\"},\n {\"box_2d\": [473, 513, 512, 535], \"label\": \"chicory seed\"},\n {\"box_2d\": [485, 796, 510, 839], \"label\": \"chicory seed\"},\n {\"box_2d\": [654, 518, 692, 545], \"label\": \"chicory seed\"},\n {\"box_2d\": [416, 686, 445, 721], \"label\": \"chicory seed\"},\n {\"box_2d\": [785, 519, 811, 559], \"label\": \"chicory seed\"},\n {\"box_2d\": [524, 707, 565, 738], \"label\": \"chicory seed\"},\n {\"box_2d\": [607, 309, 639, 347], \"label\": \"chicory seed\"},\n {\"box_2d\": [589, 311, 610, 353], \"label\": \"chicory seed\"},\n {\"box_2d\": [264, 329, 302, 356], \"label\": \"chicory seed\"},\n {\"box_2d\": [181, 404, 207, 443], \"label\": \"chicory seed\"},\n {\"box_2d\": [712, 562, 749, 598], \"label\": \"chicory seed\"},\n {\"box_2d\": [624, 439, 659, 476], \"label\": \"chicory seed\"},\n {\"box_2d\": [373, 614, 398, 656], \"label\": \"chicory seed\"},\n {\"box_2d\": [607, 258, 639, 294], \"label\": \"chicory seed\"},\n {\"box_2d\": [413, 339, 446, 374], \"label\": \"chicory seed\"},\n {\"box_2d\": [397, 656, 419, 697], \"label\": \"chicory seed\"},\n {\"box_2d\": [294, 304, 325, 342], \"label\": \"chicory seed\"},\n {\"box_2d\": [702, 274, 742, 295], \"label\": \"chicory seed\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 7212, "elapsed_seconds": 55.2263692090055, "metadata": {"match_method": "map", "num_predictions": 200, "num_ground_truth": 299, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3358415961265564, "attempts": 1, "retries": 0, "total_seconds": 55.4287}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 219, "image": "66_png.rf.39bf6d177f61078e6d35cc7449f636fc.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [32, 260, 94, 309], \"label\": \"not gate symbol\"},\n {\"box_2d\": [155, 253, 236, 331], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [174, 568, 256, 646], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [250, 109, 321, 152], \"label\": \"not gate symbol\"},\n {\"box_2d\": [250, 161, 321, 204], \"label\": \"not gate symbol\"},\n {\"box_2d\": [326, 253, 408, 331], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [411, 503, 482, 546], \"label\": \"not gate symbol\"},\n {\"box_2d\": [478, 568, 559, 646], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [553, 778, 635, 856], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [659, 260, 720, 309], \"label\": \"not gate symbol\"},\n {\"box_2d\": [629, 568, 711, 646], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [782, 568, 862, 646], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [800, 778, 882, 856], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [905, 260, 967, 309], \"label\": \"not gate symbol\"}\n]\n```", "correct": true, "input_tokens": 1222, "output_tokens": 514, "elapsed_seconds": 6.7369645410217345, "metadata": {"match_method": "map", "num_predictions": 14, "num_ground_truth": 14, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 6.749}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 220, "image": "car-part-detection_Car-damages-1497_png_jpg.rf.e852cda680508c1a167266952897c9ec.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [540, 82, 756, 179], \"label\": \"back bumper\"},\n {\"box_2d\": [425, 96, 544, 165], \"label\": \"tail light\"},\n {\"box_2d\": [266, 117, 405, 206], \"label\": \"back windshield\"},\n {\"box_2d\": [254, 249, 421, 470], \"label\": \"back window\"},\n {\"box_2d\": [254, 509, 456, 740], \"label\": \"front window\"},\n {\"box_2d\": [401, 738, 464, 767], \"label\": \"mirror\"},\n {\"box_2d\": [244, 485, 728, 783], \"label\": \"front door\"},\n {\"box_2d\": [244, 232, 732, 504], \"label\": \"back door\"},\n {\"box_2d\": [450, 898, 538, 974], \"label\": \"headlight\"},\n {\"box_2d\": [397, 845, 490, 961], \"label\": \"hood\"},\n {\"box_2d\": [520, 931, 744, 991], \"label\": \"front bumper\"},\n {\"box_2d\": [256, 634, 421, 853], \"label\": \"windshield\"}\n]\n```", "correct": true, "input_tokens": 1232, "output_tokens": 428, "elapsed_seconds": 9.907077666954137, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 14, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8754124641418457, "attempts": 1, "retries": 0, "total_seconds": 9.9307}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 221, "image": "51_jpg.rf.058febb668fb3dcd1ddaf96ac46d336e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [585, 646, 756, 885], \"label\": \"blood sample tube\"},\n {\"box_2d\": [689, 412, 754, 656], \"label\": \"blood sample tube\"},\n {\"box_2d\": [485, 612, 667, 848], \"label\": \"blood sample tube\"},\n {\"box_2d\": [656, 198, 756, 443], \"label\": \"blood sample tube\"},\n {\"box_2d\": [585, 331, 693, 571], \"label\": \"blood sample tube\"},\n {\"box_2d\": [525, 326, 631, 567], \"label\": \"blood sample tube\"},\n {\"box_2d\": [381, 471, 658, 639], \"label\": \"blood sample tube\"},\n {\"box_2d\": [348, 196, 634, 337], \"label\": \"blood sample tube\"},\n {\"box_2d\": [270, 279, 568, 406], \"label\": \"blood sample tube\"},\n {\"box_2d\": [151, 232, 396, 425], \"label\": \"blood sample tube\"},\n {\"box_2d\": [62, 193, 384, 240], \"label\": \"blood sample tube\"},\n {\"box_2d\": [46, 281, 162, 517], \"label\": \"blood sample tube\"},\n {\"box_2d\": [168, 432, 315, 660], \"label\": \"blood sample tube\"},\n {\"box_2d\": [279, 653, 567, 809], \"label\": \"blood sample tube\"},\n {\"box_2d\": [181, 859, 495, 965], \"label\": \"blood sample tube\"},\n {\"box_2d\": [118, 775, 376, 954], \"label\": \"blood sample tube\"},\n {\"box_2d\": [167, 570, 296, 807], \"label\": \"blood sample tube\"},\n {\"box_2d\": [104, 521, 226, 759], \"label\": \"blood sample tube\"},\n {\"box_2d\": [92, 664, 154, 914], \"label\": \"blood sample tube\"},\n {\"box_2d\": [39, 712, 95, 954], \"label\": \"blood sample tube\"},\n {\"box_2d\": [42, 468, 104, 710], \"label\": \"blood sample tube\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 762, "elapsed_seconds": 9.493423625011928, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 21, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 9.5244}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 222, "image": "161056d_JPG_jpg.rf.9a7d680b73d40b7f57e4788c75d35faa.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [264, 395, 349, 530], \"label\": \"cracked insulator\"},\n {\"box_2d\": [468, 394, 559, 520], \"label\": \"cracked insulator\"}\n]\n```", "correct": false, "input_tokens": 1217, "output_tokens": 84, "elapsed_seconds": 33.86730200005695, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5049505233764648, "attempts": 1, "retries": 0, "total_seconds": 34.7127}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 223, "image": "signatures_image_176_png_jpg.rf.ba5b095c7ba79857b44be19e553b8621.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [529, 183, 612, 260], \"label\": \"signature\"},\n {\"box_2d\": [562, 452, 598, 488], \"label\": \"signature\"},\n {\"box_2d\": [551, 656, 591, 717], \"label\": \"signature\"},\n {\"box_2d\": [592, 806, 634, 895], \"label\": \"signature\"}\n]\n```", "correct": true, "input_tokens": 1228, "output_tokens": 148, "elapsed_seconds": 11.99065687507391, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.801980197429657, "attempts": 1, "retries": 0, "total_seconds": 12.2511}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 224, "image": "floorplan-windows-doors_10363_png.rf.022a393bcce41347db46c0ae8f821ac1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [736, 351, 801, 417], \"label\": \"door\"},\n {\"box_2d\": [602, 314, 638, 358], \"label\": \"door\"},\n {\"box_2d\": [646, 370, 699, 434], \"label\": \"door\"},\n {\"box_2d\": [598, 693, 667, 707], \"label\": \"window\"},\n {\"box_2d\": [537, 636, 588, 693], \"label\": \"door\"},\n {\"box_2d\": [489, 693, 526, 706], \"label\": \"window\"},\n {\"box_2d\": [459, 84, 591, 96], \"label\": \"window\"},\n {\"box_2d\": [329, 86, 355, 100], \"label\": \"window\"},\n {\"box_2d\": [110, 86, 193, 100], \"label\": \"window\"},\n {\"box_2d\": [174, 248, 226, 304], \"label\": \"door\"},\n {\"box_2d\": [206, 312, 241, 355], \"label\": \"door\"},\n {\"box_2d\": [248, 391, 293, 438], \"label\": \"door\"},\n {\"box_2d\": [169, 444, 222, 502], \"label\": \"door\"},\n {\"box_2d\": [169, 638, 221, 761], \"label\": \"door\"},\n {\"box_2d\": [130, 692, 163, 706], \"label\": \"window\"},\n {\"box_2d\": [259, 529, 305, 580], \"label\": \"door\"},\n {\"box_2d\": [283, 686, 317, 704], \"label\": \"window\"}\n]\n```", "correct": false, "input_tokens": 1223, "output_tokens": 586, "elapsed_seconds": 11.228363082977012, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 19, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7423620820045471, "attempts": 1, "retries": 0, "total_seconds": 11.285}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 225, "image": "paper-parts_194472_30_jpg.rf.b0a602d4dcc7284ce0bac985bedfd7a6.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [94, 176, 213, 882], \"label\": \"paragraph\"},\n {\"box_2d\": [233, 176, 248, 417], \"label\": \"paragraph\"},\n {\"box_2d\": [267, 176, 352, 882], \"label\": \"paragraph\"},\n {\"box_2d\": [380, 417, 529, 699], \"label\": \"figure\"},\n {\"box_2d\": [552, 446, 567, 672], \"label\": \"figure caption\"},\n {\"box_2d\": [586, 235, 612, 683], \"label\": \"paragraph\"},\n {\"box_2d\": [631, 403, 667, 654], \"label\": \"equation\"},\n {\"box_2d\": [669, 453, 684, 605], \"label\": \"equation\"},\n {\"box_2d\": [703, 456, 728, 882], \"label\": \"equation\"},\n {\"box_2d\": [748, 176, 798, 881], \"label\": \"paragraph\"},\n {\"box_2d\": [817, 235, 861, 646], \"label\": \"paragraph\"},\n {\"box_2d\": [868, 390, 883, 667], \"label\": \"equation\"},\n {\"box_2d\": [886, 520, 899, 538], \"label\": \"page number\"}\n]\n```", "correct": false, "input_tokens": 1248, "output_tokens": 455, "elapsed_seconds": 12.21736587502528, "metadata": {"match_method": "map", "num_predictions": 13, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6532672643661499, "attempts": 1, "retries": 0, "total_seconds": 12.2591}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 226, "image": "IMG_6641_jpeg_jpg.rf.d4a1ba083ff18ae1c9807cc69a86b03e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [568, 3, 598, 198], \"label\": \"blue poker chip\"},\n {\"box_2d\": [589, 3, 616, 198], \"label\": \"blue poker chip\"},\n {\"box_2d\": [607, 4, 634, 196], \"label\": \"blue poker chip\"},\n {\"box_2d\": [624, 3, 653, 196], \"label\": \"blue poker chip\"},\n {\"box_2d\": [640, 1, 670, 196], \"label\": \"blue poker chip\"},\n {\"box_2d\": [656, 0, 689, 196], \"label\": \"blue poker chip\"},\n {\"box_2d\": [672, 1, 707, 196], \"label\": \"blue poker chip\"},\n {\"box_2d\": [676, 196, 708, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [659, 195, 691, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [641, 196, 673, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [626, 196, 655, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [608, 196, 636, 376], \"label\": \"green poker chip\"},\n {\"box_2d\": [592, 196, 621, 376], \"label\": \"green poker chip\"},\n {\"box_2d\": [575, 196, 602, 376], \"label\": \"green poker chip\"},\n {\"box_2d\": [560, 196, 585, 376], \"label\": \"green poker chip\"},\n {\"box_2d\": [546, 198, 567, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [529, 198, 550, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [513, 198, 534, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [428, 384, 453, 562], \"label\": \"red poker chip\"},\n {\"box_2d\": [445, 384, 469, 562], \"label\": \"red poker chip\"},\n {\"box_2d\": [463, 384, 486, 562], \"label\": \"red poker chip\"},\n {\"box_2d\": [478, 384, 500, 562], \"label\": \"red poker chip\"},\n {\"box_2d\": [496, 384, 517, 563], \"label\": \"red poker chip\"},\n {\"box_2d\": [513, 384, 534, 563], \"label\": \"red poker chip\"},\n {\"box_2d\": [531, 384, 550, 563], \"label\": \"red poker chip\"},\n {\"box_2d\": [547, 385, 568, 563], \"label\": \"red poker chip\"},\n {\"box_2d\": [562, 385, 585, 563], \"label\": \"red poker chip\"},\n {\"box_2d\": [579, 387, 602, 563], \"label\": \"red poker chip\"},\n {\"box_2d\": [595, 387, 620, 563], \"label\": \"red poker chip\"},\n {\"box_2d\": [610, 387, 639, 565], \"label\": \"red poker chip\"},\n {\"box_2d\": [628, 387, 656, 565], \"label\": \"red poker chip\"},\n {\"box_2d\": [644, 387, 673, 566], \"label\": \"red poker chip\"},\n {\"box_2d\": [659, 387, 691, 566], \"label\": \"red poker chip\"},\n {\"box_2d\": [676, 387, 708, 568], \"label\": \"red poker chip\"},\n {\"box_2d\": [672, 574, 702, 761], \"label\": \"white poker chip\"},\n {\"box_2d\": [656, 574, 685, 761], \"label\": \"white poker chip\"},\n {\"box_2d\": [637, 574, 667, 761], \"label\": \"white poker chip\"},\n {\"box_2d\": [620, 572, 649, 761], \"label\": \"white poker chip\"},\n {\"box_2d\": [602, 571, 631, 759], \"label\": \"white poker chip\"},\n {\"box_2d\": [585, 569, 613, 759], \"label\": \"white poker chip\"},\n {\"box_2d\": [571, 569, 594, 758], \"label\": \"white poker chip\"},\n {\"box_2d\": [551, 571, 576, 758], \"label\": \"white poker chip\"},\n {\"box_2d\": [555, 756, 616, 958], \"label\": \"orange poker chip\"},\n {\"box_2d\": [588, 758, 634, 958], \"label\": \"orange poker chip\"},\n {\"box_2d\": [607, 759, 652, 959], \"label\": \"orange poker chip\"},\n {\"box_2d\": [624, 759, 672, 961], \"label\": \"orange poker chip\"},\n {\"box_2d\": [641, 761, 690, 961], \"label\": \"orange poker chip\"},\n {\"box_2d\": [659, 761, 708, 962], \"label\": \"orange poker chip\"},\n {\"box_2d\": [675, 761, 725, 962], \"label\": \"orange poker chip\"}\n]\n```", "correct": true, "input_tokens": 1243, "output_tokens": 1762, "elapsed_seconds": 20.164069707971066, "metadata": {"match_method": "map", "num_predictions": 49, "num_ground_truth": 49, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 20.1888}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 227, "image": "69_jpg.rf.832734e487772068d6b9bf469788de8f.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [78, 588, 405, 636], \"label\": \"blood sample tube\"},\n {\"box_2d\": [16, 634, 323, 748], \"label\": \"blood sample tube\"},\n {\"box_2d\": [350, 281, 409, 519], \"label\": \"blood sample tube\"},\n {\"box_2d\": [438, 494, 520, 736], \"label\": \"blood sample tube\"},\n {\"box_2d\": [534, 480, 747, 700], \"label\": \"blood sample tube\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 190, "elapsed_seconds": 4.493112207972445, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 4.5186}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 228, "image": "uav20221018_ixfZ_3857_431_png.rf.d4d8056faccd6284b96584515af21de0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [72, 249, 102, 275], \"label\": \"banana tree\"},\n {\"box_2d\": [210, 442, 250, 488], \"label\": \"banana tree\"},\n {\"box_2d\": [139, 439, 181, 483], \"label\": \"banana tree\"},\n {\"box_2d\": [173, 496, 211, 535], \"label\": \"banana tree\"},\n {\"box_2d\": [109, 496, 139, 523], \"label\": \"banana tree\"},\n {\"box_2d\": [1, 433, 50, 471], \"label\": \"banana tree\"},\n {\"box_2d\": [237, 492, 288, 530], \"label\": \"banana tree\"},\n {\"box_2d\": [29, 184, 78, 227], \"label\": \"banana tree\"},\n {\"box_2d\": [70, 424, 113, 481], \"label\": \"banana tree\"},\n {\"box_2d\": [32, 492, 81, 531], \"label\": \"banana tree\"},\n {\"box_2d\": [0, 239, 39, 288], \"label\": \"banana tree\"},\n {\"box_2d\": [300, 678, 344, 709], \"label\": \"banana tree\"},\n {\"box_2d\": [329, 725, 373, 763], \"label\": \"banana tree\"},\n {\"box_2d\": [261, 724, 297, 755], \"label\": \"banana tree\"},\n {\"box_2d\": [228, 672, 270, 705], \"label\": \"banana tree\"},\n {\"box_2d\": [369, 674, 412, 706], \"label\": \"banana tree\"},\n {\"box_2d\": [120, 716, 165, 761], \"label\": \"banana tree\"},\n {\"box_2d\": [88, 661, 130, 702], \"label\": \"banana tree\"},\n {\"box_2d\": [161, 671, 200, 700], \"label\": \"banana tree\"},\n {\"box_2d\": [54, 713, 100, 756], \"label\": \"banana tree\"},\n {\"box_2d\": [15, 662, 60, 697], \"label\": \"banana tree\"},\n {\"box_2d\": [191, 718, 234, 753], \"label\": \"banana tree\"},\n {\"box_2d\": [31, 905, 74, 938], \"label\": \"banana tree\"},\n {\"box_2d\": [205, 962, 256, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [275, 969, 319, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [351, 974, 389, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [417, 984, 456, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [317, 927, 360, 965], \"label\": \"banana tree\"},\n {\"box_2d\": [140, 954, 180, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [65, 956, 111, 995], \"label\": \"banana tree\"},\n {\"box_2d\": [250, 923, 286, 952], \"label\": \"banana tree\"},\n {\"box_2d\": [109, 902, 150, 939], \"label\": \"banana tree\"},\n {\"box_2d\": [524, 940, 560, 974], \"label\": \"banana tree\"},\n {\"box_2d\": [457, 937, 497, 972], \"label\": \"banana tree\"},\n {\"box_2d\": [387, 934, 429, 965], \"label\": \"banana tree\"},\n {\"box_2d\": [179, 916, 212, 958], \"label\": \"banana tree\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 1258, "elapsed_seconds": 15.915462584001943, "metadata": {"match_method": "map", "num_predictions": 36, "num_ground_truth": 38, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9405940771102905, "attempts": 1, "retries": 0, "total_seconds": 16.0207}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 229, "image": "f39_jpg.rf.8a677bbf5bbbcde071dc3887db6e2b75.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 353, 369, 777], \"label\": \"wildfire\"},\n {\"box_2d\": [0, 255, 240, 567], \"label\": \"wildfire\"},\n {\"box_2d\": [416, 444, 603, 569], \"label\": \"wildfire\"},\n {\"box_2d\": [329, 643, 801, 1000], \"label\": \"wildfire\"},\n {\"box_2d\": [0, 440, 594, 839], \"label\": \"wildfire\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 182, "elapsed_seconds": 5.730005042045377, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3333333432674408, "attempts": 1, "retries": 0, "total_seconds": 5.8582}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 230, "image": "wood-log-detection_003_png_jpg.rf.34aeb3fc6262ec00696c0cc722964b3e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [56, 273, 94, 320], \"label\": \"log cross-section\"},\n {\"box_2d\": [86, 245, 114, 287], \"label\": \"log cross-section\"},\n {\"box_2d\": [90, 293, 121, 332], \"label\": \"log cross-section\"},\n {\"box_2d\": [77, 353, 102, 389], \"label\": \"log cross-section\"},\n {\"box_2d\": [84, 331, 108, 354], \"label\": \"log cross-section\"},\n {\"box_2d\": [105, 331, 134, 381], \"label\": \"log cross-section\"},\n {\"box_2d\": [121, 259, 146, 303], \"label\": \"log cross-section\"},\n {\"box_2d\": [110, 214, 137, 251], \"label\": \"log cross-section\"},\n {\"box_2d\": [131, 173, 165, 223], \"label\": \"log cross-section\"},\n {\"box_2d\": [140, 226, 173, 273], \"label\": \"log cross-section\"},\n {\"box_2d\": [150, 285, 174, 326], \"label\": \"log cross-section\"},\n {\"box_2d\": [134, 325, 168, 370], \"label\": \"log cross-section\"},\n {\"box_2d\": [162, 254, 192, 292], \"label\": \"log cross-section\"},\n {\"box_2d\": [168, 204, 200, 250], \"label\": \"log cross-section\"},\n {\"box_2d\": [167, 154, 196, 203], \"label\": \"log cross-section\"},\n {\"box_2d\": [189, 159, 217, 206], \"label\": \"log cross-section\"},\n {\"box_2d\": [199, 211, 236, 267], \"label\": \"log cross-section\"},\n {\"box_2d\": [232, 178, 255, 215], \"label\": \"log cross-section\"},\n {\"box_2d\": [304, 209, 332, 250], \"label\": \"log cross-section\"},\n {\"box_2d\": [295, 253, 319, 285], \"label\": \"log cross-section\"},\n {\"box_2d\": [332, 267, 350, 304], \"label\": \"log cross-section\"},\n {\"box_2d\": [296, 296, 320, 335], \"label\": \"log cross-section\"},\n {\"box_2d\": [326, 307, 350, 342], \"label\": \"log cross-section\"},\n {\"box_2d\": [310, 343, 338, 381], \"label\": \"log cross-section\"},\n {\"box_2d\": [330, 371, 348, 417], \"label\": \"log cross-section\"},\n {\"box_2d\": [199, 276, 224, 314], \"label\": \"log cross-section\"},\n {\"box_2d\": [199, 309, 239, 359], \"label\": \"log cross-section\"},\n {\"box_2d\": [237, 354, 267, 404], \"label\": \"log cross-section\"},\n {\"box_2d\": [174, 340, 199, 379], \"label\": \"log cross-section\"},\n {\"box_2d\": [198, 362, 230, 406], \"label\": \"log cross-section\"},\n {\"box_2d\": [223, 398, 245, 437], \"label\": \"log cross-section\"},\n {\"box_2d\": [229, 435, 267, 488], \"label\": \"log cross-section\"},\n {\"box_2d\": [202, 449, 232, 491], \"label\": \"log cross-section\"},\n {\"box_2d\": [206, 413, 232, 449], \"label\": \"log cross-section\"},\n {\"box_2d\": [181, 395, 208, 429], \"label\": \"log cross-section\"},\n {\"box_2d\": [178, 427, 204, 466], \"label\": \"log cross-section\"},\n {\"box_2d\": [147, 407, 176, 445], \"label\": \"log cross-section\"},\n {\"box_2d\": [137, 376, 165, 413], \"label\": \"log cross-section\"},\n {\"box_2d\": [103, 409, 125, 441], \"label\": \"log cross-section\"},\n {\"box_2d\": [52, 420, 77, 456], \"label\": \"log cross-section\"},\n {\"box_2d\": [112, 449, 139, 484], \"label\": \"log cross-section\"},\n {\"box_2d\": [139, 456, 168, 488], \"label\": \"log cross-section\"},\n {\"box_2d\": [112, 485, 146, 530], \"label\": \"log cross-section\"},\n {\"box_2d\": [140, 490, 170, 535], \"label\": \"log cross-section\"},\n {\"box_2d\": [189, 484, 214, 524], \"label\": \"log cross-section\"},\n {\"box_2d\": [199, 526, 226, 560], \"label\": \"log cross-section\"},\n {\"box_2d\": [184, 524, 204, 555], \"label\": \"log cross-section\"},\n {\"box_2d\": [136, 530, 165, 568], \"label\": \"log cross-section\"},\n {\"box_2d\": [108, 534, 137, 574], \"label\": \"log cross-section\"},\n {\"box_2d\": [108, 576, 145, 622], \"label\": \"log cross-section\"},\n {\"box_2d\": [83, 608, 121, 657], \"label\": \"log cross-section\"},\n {\"box_2d\": [137, 637, 168, 665], \"label\": \"log cross-section\"},\n {\"box_2d\": [142, 598, 178, 646], \"label\": \"log cross-section\"},\n {\"box_2d\": [125, 672, 156, 721], \"label\": \"log cross-section\"},\n {\"box_2d\": [168, 643, 192, 682], \"label\": \"log cross-section\"},\n {\"box_2d\": [181, 666, 205, 704], \"label\": \"log cross-section\"},\n {\"box_2d\": [199, 658, 223, 694], \"label\": \"log cross-section\"},\n {\"box_2d\": [206, 682, 239, 727], \"label\": \"log cross-section\"},\n {\"box_2d\": [243, 679, 271, 721], \"label\": \"log cross-section\"},\n {\"box_2d\": [261, 638, 294, 680], \"label\": \"log cross-section\"},\n {\"box_2d\": [224, 610, 260, 654], \"label\": \"log cross-section\"},\n {\"box_2d\": [186, 596, 214, 640], \"label\": \"log cross-section\"},\n {\"box_2d\": [174, 566, 204, 599], \"label\": \"log cross-section\"},\n {\"box_2d\": [220, 559, 245, 594], \"label\": \"log cross-section\"},\n {\"box_2d\": [249, 540, 285, 583], \"label\": \"log cross-section\"},\n {\"box_2d\": [254, 587, 288, 630], \"label\": \"log cross-section\"},\n {\"box_2d\": [299, 655, 326, 693], \"label\": \"log cross-section\"},\n {\"box_2d\": [311, 599, 336, 635], \"label\": \"log cross-section\"},\n {\"box_2d\": [301, 509, 338, 552], \"label\": \"log cross-section\"},\n {\"box_2d\": [305, 463, 332, 496], \"label\": \"log cross-section\"},\n {\"box_2d\": [301, 412, 329, 452], \"label\": \"log cross-section\"},\n {\"box_2d\": [230, 488, 261, 527], \"label\": \"log cross-section\"}\n]\n```", "correct": true, "input_tokens": 1228, "output_tokens": 2667, "elapsed_seconds": 22.296255917055532, "metadata": {"match_method": "map", "num_predictions": 72, "num_ground_truth": 78, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9207921028137207, "attempts": 1, "retries": 0, "total_seconds": 22.3215}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 231, "image": "basketball-player-detection_boston-celtics-new-york-knicks-game-1-q1-04-28-04-20-0185_png.rf.5bf3baa6a3ce5adfe29dab142647c8bc.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [508, 412, 870, 463], \"label\": \"player taking jump shot\"},\n {\"box_2d\": [512, 449, 795, 509], \"label\": \"player\"},\n {\"box_2d\": [686, 554, 987, 626], \"label\": \"referee\"},\n {\"box_2d\": [378, 278, 603, 333], \"label\": \"player\"},\n {\"box_2d\": [298, 300, 513, 332], \"label\": \"player\"},\n {\"box_2d\": [341, 149, 545, 217], \"label\": \"player\"},\n {\"box_2d\": [254, 141, 459, 189], \"label\": \"player\"},\n {\"box_2d\": [179, 379, 373, 420], \"label\": \"player\"},\n {\"box_2d\": [250, 454, 462, 505], \"label\": \"player\"},\n {\"box_2d\": [296, 573, 516, 643], \"label\": \"player\"},\n {\"box_2d\": [349, 616, 609, 670], \"label\": \"player\"},\n {\"box_2d\": [259, 695, 469, 738], \"label\": \"referee\"},\n {\"box_2d\": [199, 621, 267, 672], \"label\": \"basket rim\"},\n {\"box_2d\": [787, 591, 808, 603], \"label\": \"jersey number\"},\n {\"box_2d\": [652, 434, 678, 443], \"label\": \"jersey number\"},\n {\"box_2d\": [399, 646, 423, 654], \"label\": \"jersey number\"},\n {\"box_2d\": [356, 616, 377, 628], \"label\": \"jersey number\"},\n {\"box_2d\": [237, 399, 252, 412], \"label\": \"jersey number\"},\n {\"box_2d\": [398, 181, 421, 195], \"label\": \"jersey number\"},\n {\"box_2d\": [307, 155, 331, 169], \"label\": \"jersey number\"},\n {\"box_2d\": [210, 0, 418, 41], \"label\": \"referee\"},\n {\"box_2d\": [336, 469, 362, 487], \"label\": \"basketball\"}\n]\n```", "correct": false, "input_tokens": 1251, "output_tokens": 771, "elapsed_seconds": 66.00510325003415, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 23, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7533003091812134, "attempts": 1, "retries": 0, "total_seconds": 66.1439}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 232, "image": "construction-safety_ppe_0016_jpg.rf.d53d80274c0b6fdd6cccc30b2f5316b2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [278, 747, 405, 853], \"label\": \"safety helmet\"},\n {\"box_2d\": [465, 748, 862, 902], \"label\": \"safety vest\"},\n {\"box_2d\": [278, 672, 1000, 902], \"label\": \"person\"},\n {\"box_2d\": [361, 679, 463, 777], \"label\": \"safety helmet\"},\n {\"box_2d\": [361, 603, 987, 796], \"label\": \"person\"},\n {\"box_2d\": [482, 689, 866, 796], \"label\": \"safety vest\"},\n {\"box_2d\": [306, 579, 418, 675], \"label\": \"safety helmet\"},\n {\"box_2d\": [461, 574, 800, 701], \"label\": \"safety vest\"},\n {\"box_2d\": [306, 574, 885, 720], \"label\": \"person\"},\n {\"box_2d\": [324, 485, 429, 575], \"label\": \"safety helmet\"},\n {\"box_2d\": [477, 458, 785, 593], \"label\": \"safety vest\"},\n {\"box_2d\": [324, 439, 956, 593], \"label\": \"person\"},\n {\"box_2d\": [326, 332, 424, 403], \"label\": \"safety helmet\"},\n {\"box_2d\": [482, 265, 850, 441], \"label\": \"safety vest\"},\n {\"box_2d\": [326, 252, 953, 449], \"label\": \"person\"},\n {\"box_2d\": [287, 185, 381, 261], \"label\": \"safety helmet\"},\n {\"box_2d\": [287, 134, 1000, 290], \"label\": \"person\"},\n {\"box_2d\": [322, 70, 440, 174], \"label\": \"safety helmet\"},\n {\"box_2d\": [322, 61, 1000, 292], \"label\": \"person\"},\n {\"box_2d\": [870, 859, 1000, 974], \"label\": \"safety vest\"}\n]\n```", "correct": true, "input_tokens": 1222, "output_tokens": 707, "elapsed_seconds": 107.12951687502209, "metadata": {"match_method": "map", "num_predictions": 20, "num_ground_truth": 19, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 108.6345}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 233, "image": "ind_jpeg_jpg.rf.838960e9a8a04626878832d54c63b122.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [769, 55, 833, 107], \"label\": \"dimension annotation\"},\n {\"box_2d\": [370, 69, 463, 200], \"label\": \"dimension annotation\"},\n {\"box_2d\": [397, 68, 513, 236], \"label\": \"dimension annotation\"},\n {\"box_2d\": [359, 533, 400, 616], \"label\": \"dimension annotation\"},\n {\"box_2d\": [654, 338, 738, 424], \"label\": \"dimension annotation\"},\n {\"box_2d\": [661, 428, 715, 513], \"label\": \"dimension annotation\"},\n {\"box_2d\": [727, 439, 789, 608], \"label\": \"dimension annotation\"},\n {\"box_2d\": [766, 452, 804, 575], \"label\": \"dimension annotation\"},\n {\"box_2d\": [790, 546, 833, 608], \"label\": \"dimension annotation\"},\n {\"box_2d\": [689, 845, 833, 960], \"label\": \"dimension annotation\"},\n {\"box_2d\": [637, 844, 689, 873], \"label\": \"dimension annotation\"},\n {\"box_2d\": [637, 717, 689, 845], \"label\": \"dimension annotation\"},\n {\"box_2d\": [637, 687, 709, 717], \"label\": \"dimension annotation\"},\n {\"box_2d\": [501, 314, 575, 410], \"label\": \"dimension annotation\"},\n {\"box_2d\": [506, 171, 604, 410], \"label\": \"dimension annotation\"},\n {\"box_2d\": [914, 208, 984, 978], \"label\": \"technical drawing table\"}\n]\n```", "correct": false, "input_tokens": 1233, "output_tokens": 570, "elapsed_seconds": 22.8449872500496, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.4999999403953552, "attempts": 1, "retries": 0, "total_seconds": 22.8602}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 234, "image": "frame_0102_jpg.rf.17d6c3b1d93b1bd2e8d8880687a7f794.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [39, 340, 72, 360], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [36, 393, 74, 415], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [45, 449, 80, 471], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [46, 505, 81, 529], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [132, 502, 169, 524], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [132, 444, 169, 466], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [125, 386, 161, 408], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [123, 330, 159, 353], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [217, 333, 256, 358], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [224, 391, 265, 415], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [229, 449, 272, 476], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [248, 511, 289, 535], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [349, 506, 394, 532], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [330, 442, 376, 470], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [324, 381, 369, 408], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [314, 323, 355, 349], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [417, 307, 459, 334], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [425, 366, 471, 394], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [435, 428, 481, 456], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [454, 491, 500, 518], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [568, 502, 619, 529], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [556, 437, 606, 466], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [539, 373, 591, 401], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [525, 313, 574, 340], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [633, 301, 682, 329], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [652, 362, 699, 389], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [670, 427, 718, 454], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [686, 491, 735, 518], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [801, 488, 847, 515], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [781, 421, 830, 450], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [765, 357, 811, 385], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [746, 297, 793, 324], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [860, 305, 907, 333], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [882, 366, 930, 394], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [897, 431, 945, 459], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [914, 495, 962, 522], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [957, 293, 999, 320], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [975, 351, 999, 377], \"label\": \"soda bottle cap\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 1372, "elapsed_seconds": 56.45260441605933, "metadata": {"match_method": "map", "num_predictions": 38, "num_ground_truth": 38, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 57.1518}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 235, "image": "tile_559_jpg.rf.2e36153b3f0a023e43755fc06e0c32dc.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [5, 325, 29, 378], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [216, 449, 238, 534], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [324, 250, 360, 349], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [741, 350, 759, 431], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [666, 666, 686, 750], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [886, 0, 905, 76], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [958, 550, 982, 601], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [928, 774, 954, 860], \"label\": \"ship in SAR satellite image\"}\n]\n```", "correct": true, "input_tokens": 1229, "output_tokens": 310, "elapsed_seconds": 6.104276834055781, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 6.151}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 236, "image": "frame_0555_jpg.rf.e5603989fbc45aefce0b30f65bdbe361.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [785, 241, 864, 289], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [742, 344, 822, 392], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [612, 232, 691, 280], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [463, 234, 535, 279], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [250, 255, 315, 291], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [82, 234, 145, 282], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 267, 42, 307], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 342, 42, 386], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [65, 346, 129, 391], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [163, 336, 233, 372], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [219, 353, 277, 388], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [298, 369, 362, 409], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [406, 357, 467, 394], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [493, 346, 558, 386], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [375, 434, 439, 477], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [222, 442, 302, 479], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [28, 430, 81, 463], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [46, 536, 106, 570], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 594, 49, 623], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [139, 540, 196, 572], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [464, 548, 526, 584], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [584, 579, 654, 621], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [729, 603, 804, 646], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [770, 484, 850, 526], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [797, 450, 882, 489], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [423, 653, 486, 694], \"label\": \"garlic on conveyor\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 934, "elapsed_seconds": 31.101068458054215, "metadata": {"match_method": "map", "num_predictions": 26, "num_ground_truth": 23, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9172801971435547, "attempts": 1, "retries": 0, "total_seconds": 31.2488}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 237, "image": "DJI_0236_JPG_jpg.rf.d7ac178bd4662b9ae881e21c92284693.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [723, 556, 895, 626], \"label\": \"excavator\"},\n {\"box_2d\": [461, 381, 491, 439], \"label\": \"dump truck\"},\n {\"box_2d\": [376, 543, 412, 560], \"label\": \"concrete mixer\"},\n {\"box_2d\": [206, 932, 833, 1000], \"label\": \"tower crane\"},\n {\"box_2d\": [163, 822, 366, 946], \"label\": \"tower crane\"},\n {\"box_2d\": [416, 230, 441, 273], \"label\": \"dump truck\"}\n]\n```", "correct": true, "input_tokens": 1209, "output_tokens": 224, "elapsed_seconds": 108.66106541699264, "metadata": {"match_method": "map", "num_predictions": 6, "num_ground_truth": 6, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 109.8387}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 238, "image": "9999981_00000_d_0000108_jpg.rf.808757c317fef3db00edefab735a3c05.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [540, 325, 628, 377], \"label\": \"car\"},\n {\"box_2d\": [288, 229, 360, 273], \"label\": \"car\"},\n {\"box_2d\": [59, 148, 171, 200], \"label\": \"truck\"},\n {\"box_2d\": [259, 483, 323, 521], \"label\": \"car\"},\n {\"box_2d\": [209, 497, 273, 543], \"label\": \"car\"},\n {\"box_2d\": [199, 405, 267, 444], \"label\": \"car\"},\n {\"box_2d\": [82, 439, 146, 476], \"label\": \"car\"},\n {\"box_2d\": [1, 405, 56, 438], \"label\": \"car\"},\n {\"box_2d\": [24, 407, 46, 415], \"label\": \"person\"},\n {\"box_2d\": [925, 452, 1000, 527], \"label\": \"car\"},\n {\"box_2d\": [870, 391, 902, 416], \"label\": \"motorcycle\"},\n {\"box_2d\": [891, 343, 914, 359], \"label\": \"motorcycle\"},\n {\"box_2d\": [909, 198, 978, 237], \"label\": \"tricycle\"},\n {\"box_2d\": [841, 173, 885, 208], \"label\": \"tricycle\"},\n {\"box_2d\": [809, 761, 899, 821], \"label\": \"car\"},\n {\"box_2d\": [785, 735, 868, 795], \"label\": \"car\"},\n {\"box_2d\": [539, 738, 608, 809], \"label\": \"car\"},\n {\"box_2d\": [395, 571, 505, 691], \"label\": \"bus\"},\n {\"box_2d\": [368, 657, 424, 714], \"label\": \"car\"},\n {\"box_2d\": [306, 556, 333, 566], \"label\": \"person\"},\n {\"box_2d\": [387, 770, 404, 779], \"label\": \"person\"},\n {\"box_2d\": [427, 750, 447, 763], \"label\": \"person\"},\n {\"box_2d\": [924, 950, 963, 986], \"label\": \"bike\"},\n {\"box_2d\": [65, 11, 121, 41], \"label\": \"car\"},\n {\"box_2d\": [117, 19, 204, 59], \"label\": \"van\"},\n {\"box_2d\": [288, 59, 360, 89], \"label\": \"van\"},\n {\"box_2d\": [366, 84, 425, 114], \"label\": \"car\"},\n {\"box_2d\": [529, 129, 604, 169], \"label\": \"truck\"}\n]\n```", "correct": false, "input_tokens": 1214, "output_tokens": 952, "elapsed_seconds": 12.7037378330715, "metadata": {"match_method": "map", "num_predictions": 28, "num_ground_truth": 46, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.440726637840271, "attempts": 1, "retries": 0, "total_seconds": 12.8112}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 239, "image": "egg-detection_image381_jpg.rf.26b6182b9e6a29f3cd96c54029e234f8.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [708, 479, 770, 517], \"label\": \"egg\"},\n {\"box_2d\": [712, 417, 768, 456], \"label\": \"egg\"},\n {\"box_2d\": [678, 383, 738, 419], \"label\": \"egg\"},\n {\"box_2d\": [590, 302, 646, 338], \"label\": \"egg\"},\n {\"box_2d\": [532, 316, 597, 349], \"label\": \"egg\"},\n {\"box_2d\": [264, 559, 332, 591], \"label\": \"egg\"},\n {\"box_2d\": [290, 481, 352, 518], \"label\": \"egg\"},\n {\"box_2d\": [244, 464, 301, 505], \"label\": \"egg\"},\n {\"box_2d\": [309, 427, 377, 459], \"label\": \"egg\"},\n {\"box_2d\": [244, 419, 308, 456], \"label\": \"egg\"},\n {\"box_2d\": [165, 371, 220, 407], \"label\": \"egg\"},\n {\"box_2d\": [92, 385, 148, 421], \"label\": \"egg\"},\n {\"box_2d\": [64, 427, 125, 456], \"label\": \"egg\"},\n {\"box_2d\": [13, 433, 66, 466], \"label\": \"egg\"},\n {\"box_2d\": [31, 471, 91, 501], \"label\": \"egg\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 516, "elapsed_seconds": 12.712569750030525, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 12.8582}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 240, "image": "A16150-1C_2025_NCPT-175_JPG_jpg.rf.2c6e330d745fc218d09f761944d1e142.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [17, 250, 99, 275], \"label\": \"potato\"},\n {\"box_2d\": [99, 248, 161, 274], \"label\": \"potato\"},\n {\"box_2d\": [10, 297, 56, 315], \"label\": \"potato\"},\n {\"box_2d\": [54, 295, 105, 317], \"label\": \"potato\"},\n {\"box_2d\": [104, 289, 162, 315], \"label\": \"potato\"},\n {\"box_2d\": [162, 286, 242, 316], \"label\": \"potato\"},\n {\"box_2d\": [242, 286, 316, 317], \"label\": \"potato\"},\n {\"box_2d\": [412, 281, 514, 318], \"label\": \"potato\"},\n {\"box_2d\": [579, 286, 646, 310], \"label\": \"potato\"},\n {\"box_2d\": [650, 276, 742, 315], \"label\": \"potato\"},\n {\"box_2d\": [751, 285, 816, 309], \"label\": \"potato\"},\n {\"box_2d\": [923, 284, 987, 312], \"label\": \"potato\"},\n {\"box_2d\": [7, 332, 92, 366], \"label\": \"potato\"},\n {\"box_2d\": [93, 331, 171, 363], \"label\": \"potato\"},\n {\"box_2d\": [172, 331, 244, 361], \"label\": \"potato\"},\n {\"box_2d\": [244, 325, 335, 363], \"label\": \"potato\"},\n {\"box_2d\": [336, 324, 424, 360], \"label\": \"potato\"},\n {\"box_2d\": [442, 330, 517, 360], \"label\": \"potato\"},\n {\"box_2d\": [517, 326, 594, 357], \"label\": \"potato\"},\n {\"box_2d\": [702, 327, 777, 357], \"label\": \"potato\"},\n {\"box_2d\": [779, 327, 853, 354], \"label\": \"potato\"},\n {\"box_2d\": [922, 326, 1000, 352], \"label\": \"potato\"},\n {\"box_2d\": [920, 365, 999, 400], \"label\": \"potato\"},\n {\"box_2d\": [763, 367, 849, 400], \"label\": \"potato\"},\n {\"box_2d\": [689, 369, 761, 400], \"label\": \"potato\"},\n {\"box_2d\": [482, 371, 576, 409], \"label\": \"potato\"},\n {\"box_2d\": [387, 369, 485, 406], \"label\": \"potato\"},\n {\"box_2d\": [336, 366, 386, 389], \"label\": \"potato\"},\n {\"box_2d\": [266, 375, 351, 409], \"label\": \"potato\"},\n {\"box_2d\": [191, 376, 266, 406], \"label\": \"potato\"},\n {\"box_2d\": [110, 375, 190, 405], \"label\": \"potato\"},\n {\"box_2d\": [18, 379, 95, 410], \"label\": \"potato\"},\n {\"box_2d\": [4, 415, 89, 453], \"label\": \"potato\"},\n {\"box_2d\": [86, 414, 195, 461], \"label\": \"potato\"},\n {\"box_2d\": [195, 417, 275, 451], \"label\": \"potato\"},\n {\"box_2d\": [350, 416, 436, 449], \"label\": \"potato\"},\n {\"box_2d\": [438, 417, 526, 450], \"label\": \"potato\"},\n {\"box_2d\": [526, 417, 603, 448], \"label\": \"potato\"},\n {\"box_2d\": [603, 412, 687, 446], \"label\": \"potato\"},\n {\"box_2d\": [687, 412, 779, 444], \"label\": \"potato\"},\n {\"box_2d\": [918, 456, 994, 488], \"label\": \"potato\"},\n {\"box_2d\": [729, 455, 825, 497], \"label\": \"potato\"},\n {\"box_2d\": [411, 461, 502, 497], \"label\": \"potato\"},\n {\"box_2d\": [339, 461, 412, 490], \"label\": \"potato\"},\n {\"box_2d\": [266, 464, 335, 491], \"label\": \"potato\"},\n {\"box_2d\": [139, 457, 255, 497], \"label\": \"potato\"},\n {\"box_2d\": [80, 467, 140, 494], \"label\": \"potato\"},\n {\"box_2d\": [8, 467, 80, 495], \"label\": \"potato\"},\n {\"box_2d\": [5, 509, 77, 538], \"label\": \"potato\"},\n {\"box_2d\": [77, 508, 142, 538], \"label\": \"potato\"},\n {\"box_2d\": [140, 507, 243, 545], \"label\": \"potato\"},\n {\"box_2d\": [243, 506, 339, 548], \"label\": \"potato\"},\n {\"box_2d\": [494, 498, 588, 537], \"label\": \"potato\"},\n {\"box_2d\": [683, 497, 800, 547], \"label\": \"potato\"},\n {\"box_2d\": [925, 542, 1000, 574], \"label\": \"potato\"},\n {\"box_2d\": [788, 542, 879, 580], \"label\": \"potato\"},\n {\"box_2d\": [690, 549, 745, 573], \"label\": \"potato\"},\n {\"box_2d\": [494, 549, 569, 581], \"label\": \"potato\"},\n {\"box_2d\": [232, 552, 319, 581], \"label\": \"potato\"},\n {\"box_2d\": [151, 551, 232, 583], \"label\": \"potato\"},\n {\"box_2d\": [7, 552, 84, 583], \"label\": \"potato\"},\n {\"box_2d\": [5, 597, 74, 630], \"label\": \"potato\"},\n {\"box_2d\": [71, 595, 173, 633], \"label\": \"potato\"},\n {\"box_2d\": [169, 596, 257, 630], \"label\": \"potato\"},\n {\"box_2d\": [309, 594, 419, 637], \"label\": \"potato\"},\n {\"box_2d\": [648, 586, 731, 619], \"label\": \"potato\"},\n {\"box_2d\": [817, 625, 938, 663], \"label\": \"potato\"},\n {\"box_2d\": [509, 639, 574, 663], \"label\": \"potato\"},\n {\"box_2d\": [371, 639, 441, 667], \"label\": \"potato\"},\n {\"box_2d\": [258, 642, 323, 668], \"label\": \"potato\"},\n {\"box_2d\": [158, 640, 234, 670], \"label\": \"potato\"},\n {\"box_2d\": [86, 640, 158, 670], \"label\": \"potato\"},\n {\"box_2d\": [2, 631, 88, 667], \"label\": \"potato\"},\n {\"box_2d\": [62, 684, 132, 713], \"label\": \"potato\"},\n {\"box_2d\": [16, 728, 99, 761], \"label\": \"potato\"},\n {\"box_2d\": [21, 814, 84, 842], \"label\": \"potato\"},\n {\"box_2d\": [290, 768, 357, 790], \"label\": \"potato\"},\n {\"box_2d\": [329, 811, 388, 836], \"label\": \"potato\"},\n {\"box_2d\": [315, 850, 394, 878], \"label\": \"potato\"},\n {\"box_2d\": [442, 767, 518, 796], \"label\": \"potato\"},\n {\"box_2d\": [520, 723, 608, 763], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 2728, "elapsed_seconds": 50.8933975410182, "metadata": {"match_method": "map", "num_predictions": 81, "num_ground_truth": 81, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 51.6176}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 241, "image": "lot251_JPEG_jpg.rf.5ae906b5fd537b40c5fabb806ecf5fd9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [562, 148, 588, 183], \"label\": \"chicory seed\"},\n {\"box_2d\": [327, 261, 363, 282], \"label\": \"chicory seed\"},\n {\"box_2d\": [468, 402, 504, 419], \"label\": \"chicory seed\"},\n {\"box_2d\": [416, 463, 431, 503], \"label\": \"chicory seed\"},\n {\"box_2d\": [666, 446, 682, 485], \"label\": \"chicory seed\"},\n {\"box_2d\": [512, 517, 549, 544], \"label\": \"chicory seed\"},\n {\"box_2d\": [447, 757, 480, 777], \"label\": \"chicory seed\"},\n {\"box_2d\": [630, 560, 661, 584], \"label\": \"chicory seed\"},\n {\"box_2d\": [278, 376, 297, 409], \"label\": \"chicory seed\"},\n {\"box_2d\": [291, 646, 309, 681], \"label\": \"chicory seed\"},\n {\"box_2d\": [592, 369, 610, 404], \"label\": \"chicory seed\"},\n {\"box_2d\": [498, 690, 534, 715], \"label\": \"chicory seed\"},\n {\"box_2d\": [219, 493, 250, 517], \"label\": \"chicory seed\"},\n {\"box_2d\": [425, 305, 446, 342], \"label\": \"chicory seed\"},\n {\"box_2d\": [323, 398, 360, 416], \"label\": \"chicory seed\"},\n {\"box_2d\": [411, 217, 446, 244], \"label\": \"chicory seed\"},\n {\"box_2d\": [296, 209, 321, 246], \"label\": \"chicory seed\"},\n {\"box_2d\": [315, 323, 332, 363], \"label\": \"chicory seed\"},\n {\"box_2d\": [489, 340, 523, 358], \"label\": \"chicory seed\"},\n {\"box_2d\": [617, 675, 657, 697], \"label\": \"chicory seed\"},\n {\"box_2d\": [294, 510, 327, 533], \"label\": \"chicory seed\"},\n {\"box_2d\": [314, 571, 347, 603], \"label\": \"chicory seed\"},\n {\"box_2d\": [520, 496, 557, 522], \"label\": \"chicory seed\"},\n {\"box_2d\": [341, 494, 373, 522], \"label\": \"chicory seed\"},\n {\"box_2d\": [667, 521, 699, 556], \"label\": \"chicory seed\"},\n {\"box_2d\": [336, 749, 369, 774], \"label\": \"chicory seed\"},\n {\"box_2d\": [356, 467, 389, 496], \"label\": \"chicory seed\"},\n {\"box_2d\": [243, 639, 281, 665], \"label\": \"chicory seed\"},\n {\"box_2d\": [203, 319, 224, 353], \"label\": \"chicory seed\"},\n {\"box_2d\": [623, 348, 651, 381], \"label\": \"chicory seed\"},\n {\"box_2d\": [504, 141, 529, 177], \"label\": \"chicory seed\"},\n {\"box_2d\": [202, 285, 223, 322], \"label\": \"chicory seed\"},\n {\"box_2d\": [377, 712, 412, 738], \"label\": \"chicory seed\"},\n {\"box_2d\": [699, 554, 731, 575], \"label\": \"chicory seed\"},\n {\"box_2d\": [659, 672, 690, 700], \"label\": \"chicory seed\"},\n {\"box_2d\": [556, 495, 587, 530], \"label\": \"chicory seed\"},\n {\"box_2d\": [757, 349, 775, 387], \"label\": \"chicory seed\"},\n {\"box_2d\": [715, 421, 748, 444], \"label\": \"chicory seed\"},\n {\"box_2d\": [527, 400, 560, 422], \"label\": \"chicory seed\"},\n {\"box_2d\": [224, 401, 251, 435], \"label\": \"chicory seed\"},\n {\"box_2d\": [357, 309, 391, 329], \"label\": \"chicory seed\"},\n {\"box_2d\": [501, 236, 536, 258], \"label\": \"chicory seed\"},\n {\"box_2d\": [602, 597, 622, 636], \"label\": \"chicory seed\"},\n {\"box_2d\": [430, 554, 461, 584], \"label\": \"chicory seed\"},\n {\"box_2d\": [401, 158, 439, 174], \"label\": \"chicory seed\"},\n {\"box_2d\": [535, 223, 569, 249], \"label\": \"chicory seed\"},\n {\"box_2d\": [397, 493, 420, 530], \"label\": \"chicory seed\"},\n {\"box_2d\": [584, 327, 603, 368], \"label\": \"chicory seed\"},\n {\"box_2d\": [230, 355, 261, 373], \"label\": \"chicory seed\"},\n {\"box_2d\": [572, 279, 596, 315], \"label\": \"chicory seed\"},\n {\"box_2d\": [373, 578, 405, 605], \"label\": \"chicory seed\"},\n {\"box_2d\": [265, 276, 297, 305], \"label\": \"chicory seed\"},\n {\"box_2d\": [619, 378, 656, 404], \"label\": \"chicory seed\"},\n {\"box_2d\": [521, 568, 548, 606], \"label\": \"chicory seed\"},\n {\"box_2d\": [674, 482, 702, 521], \"label\": \"chicory seed\"},\n {\"box_2d\": [434, 474, 469, 495], \"label\": \"chicory seed\"},\n {\"box_2d\": [398, 392, 433, 419], \"label\": \"chicory seed\"},\n {\"box_2d\": [393, 550, 416, 590], \"label\": \"chicory seed\"},\n {\"box_2d\": [699, 282, 725, 317], \"label\": \"chicory seed\"},\n {\"box_2d\": [461, 658, 480, 695], \"label\": \"chicory seed\"},\n {\"box_2d\": [327, 208, 345, 245], \"label\": \"chicory seed\"},\n {\"box_2d\": [389, 745, 426, 765], \"label\": \"chicory seed\"},\n {\"box_2d\": [534, 599, 567, 636], \"label\": \"chicory seed\"},\n {\"box_2d\": [526, 590, 557, 626], \"label\": \"chicory seed\"},\n {\"box_2d\": [654, 429, 681, 462], \"label\": \"chicory seed\"},\n {\"box_2d\": [254, 535, 282, 568], \"label\": \"chicory seed\"},\n {\"box_2d\": [427, 782, 459, 804], \"label\": \"chicory seed\"},\n {\"box_2d\": [694, 488, 718, 524], \"label\": \"chicory seed\"},\n {\"box_2d\": [626, 505, 661, 524], \"label\": \"chicory seed\"},\n {\"box_2d\": [623, 646, 639, 668], \"label\": \"chicory seed\"},\n {\"box_2d\": [489, 267, 510, 304], \"label\": \"chicory seed\"},\n {\"box_2d\": [617, 603, 644, 642], \"label\": \"chicory seed\"},\n {\"box_2d\": [773, 476, 805, 511], \"label\": \"chicory seed\"},\n {\"box_2d\": [757, 487, 785, 524], \"label\": \"chicory seed\"},\n {\"box_2d\": [219, 250, 249, 281], \"label\": \"chicory seed\"},\n {\"box_2d\": [472, 430, 509, 454], \"label\": \"chicory seed\"},\n {\"box_2d\": [641, 255, 678, 279], \"label\": \"chicory seed\"},\n {\"box_2d\": [512, 445, 536, 483], \"label\": \"chicory seed\"},\n {\"box_2d\": [762, 528, 795, 555], \"label\": \"chicory seed\"},\n {\"box_2d\": [275, 423, 299, 461], \"label\": \"chicory seed\"},\n {\"box_2d\": [579, 558, 597, 600], \"label\": \"chicory seed\"},\n {\"box_2d\": [336, 244, 371, 262], \"label\": \"chicory seed\"},\n {\"box_2d\": [468, 577, 514, 598], \"label\": \"chicory seed\"},\n {\"box_2d\": [682, 305, 703, 344], \"label\": \"chicory seed\"},\n {\"box_2d\": [529, 413, 567, 441], \"label\": \"chicory seed\"},\n {\"box_2d\": [395, 763, 434, 783], \"label\": \"chicory seed\"},\n {\"box_2d\": [244, 421, 276, 456], \"label\": \"chicory seed\"},\n {\"box_2d\": [400, 675, 430, 705], \"label\": \"chicory seed\"},\n {\"box_2d\": [402, 241, 424, 278], \"label\": \"chicory seed\"},\n {\"box_2d\": [210, 369, 230, 405], \"label\": \"chicory seed\"},\n {\"box_2d\": [644, 643, 675, 674], \"label\": \"chicory seed\"},\n {\"box_2d\": [529, 738, 570, 763], \"label\": \"chicory seed\"},\n {\"box_2d\": [645, 712, 670, 750], \"label\": \"chicory seed\"},\n {\"box_2d\": [434, 495, 468, 517], \"label\": \"chicory seed\"},\n {\"box_2d\": [498, 185, 517, 217], \"label\": \"chicory seed\"},\n {\"box_2d\": [562, 196, 597, 224], \"label\": \"chicory seed\"},\n {\"box_2d\": [659, 303, 686, 339], \"label\": \"chicory seed\"},\n {\"box_2d\": [602, 232, 624, 269], \"label\": \"chicory seed\"},\n {\"box_2d\": [377, 453, 405, 487], \"label\": \"chicory seed\"},\n {\"box_2d\": [629, 271, 651, 309], \"label\": \"chicory seed\"},\n {\"box_2d\": [264, 243, 286, 277], \"label\": \"chicory seed\"},\n {\"box_2d\": [567, 689, 604, 708], \"label\": \"chicory seed\"},\n {\"box_2d\": [581, 497, 609, 535], \"label\": \"chicory seed\"},\n {\"box_2d\": [482, 625, 513, 661], \"label\": \"chicory seed\"},\n {\"box_2d\": [682, 603, 704, 642], \"label\": \"chicory seed\"},\n {\"box_2d\": [357, 731, 383, 766], \"label\": \"chicory seed\"},\n {\"box_2d\": [520, 761, 544, 798], \"label\": \"chicory seed\"},\n {\"box_2d\": [483, 513, 502, 549], \"label\": \"chicory seed\"},\n {\"box_2d\": [652, 373, 678, 410], \"label\": \"chicory seed\"},\n {\"box_2d\": [749, 594, 783, 629], \"label\": \"chicory seed\"},\n {\"box_2d\": [196, 577, 230, 601], \"label\": \"chicory seed\"},\n {\"box_2d\": [592, 408, 619, 444], \"label\": \"chicory seed\"},\n {\"box_2d\": [703, 245, 728, 281], \"label\": \"chicory seed\"},\n {\"box_2d\": [517, 253, 539, 290], \"label\": \"chicory seed\"},\n {\"box_2d\": [385, 634, 403, 673], \"label\": \"chicory seed\"},\n {\"box_2d\": [713, 501, 745, 532], \"label\": \"chicory seed\"},\n {\"box_2d\": [330, 363, 353, 397], \"label\": \"chicory seed\"},\n {\"box_2d\": [553, 716, 584, 746], \"label\": \"chicory seed\"},\n {\"box_2d\": [681, 247, 704, 282], \"label\": \"chicory seed\"},\n {\"box_2d\": [471, 490, 488, 529], \"label\": \"chicory seed\"},\n {\"box_2d\": [336, 525, 358, 563], \"label\": \"chicory seed\"},\n {\"box_2d\": [392, 365, 424, 390], \"label\": \"chicory seed\"},\n {\"box_2d\": [343, 568, 372, 603], \"label\": \"chicory seed\"},\n {\"box_2d\": [425, 712, 459, 735], \"label\": \"chicory seed\"},\n {\"box_2d\": [391, 441, 424, 466], \"label\": \"chicory seed\"},\n {\"box_2d\": [501, 538, 536, 559], \"label\": \"chicory seed\"},\n {\"box_2d\": [273, 311, 295, 348], \"label\": \"chicory seed\"},\n {\"box_2d\": [558, 255, 578, 294], \"label\": \"chicory seed\"},\n {\"box_2d\": [454, 553, 490, 573], \"label\": \"chicory seed\"},\n {\"box_2d\": [661, 203, 697, 231], \"label\": \"chicory seed\"},\n {\"box_2d\": [606, 513, 625, 551], \"label\": \"chicory seed\"},\n {\"box_2d\": [416, 659, 444, 694], \"label\": \"chicory seed\"},\n {\"box_2d\": [240, 377, 258, 415], \"label\": \"chicory seed\"},\n {\"box_2d\": [571, 670, 610, 692], \"label\": \"chicory seed\"},\n {\"box_2d\": [742, 422, 775, 456], \"label\": \"chicory seed\"},\n {\"box_2d\": [357, 505, 380, 543], \"label\": \"chicory seed\"},\n {\"box_2d\": [377, 512, 399, 550], \"label\": \"chicory seed\"},\n {\"box_2d\": [699, 362, 717, 403], \"label\": \"chicory seed\"},\n {\"box_2d\": [705, 323, 735, 357], \"label\": \"chicory seed\"},\n {\"box_2d\": [448, 291, 487, 317], \"label\": \"chicory seed\"},\n {\"box_2d\": [447, 424, 469, 460], \"label\": \"chicory seed\"},\n {\"box_2d\": [603, 336, 623, 373], \"label\": \"chicory seed\"},\n {\"box_2d\": [537, 254, 557, 291], \"label\": \"chicory seed\"},\n {\"box_2d\": [694, 452, 728, 476], \"label\": \"chicory seed\"},\n {\"box_2d\": [425, 414, 456, 445], \"label\": \"chicory seed\"},\n {\"box_2d\": [332, 697, 362, 727], \"label\": \"chicory seed\"},\n {\"box_2d\": [498, 211, 537, 236], \"label\": \"chicory seed\"},\n {\"box_2d\": [721, 463, 745, 500], \"label\": \"chicory seed\"},\n {\"box_2d\": [562, 600, 579, 636], \"label\": \"chicory seed\"},\n {\"box_2d\": [579, 613, 601, 654], \"label\": \"chicory seed\"},\n {\"box_2d\": [696, 646, 731, 666], \"label\": \"chicory seed\"},\n {\"box_2d\": [298, 440, 315, 476], \"label\": \"chicory seed\"},\n {\"box_2d\": [437, 536, 474, 551], \"label\": \"chicory seed\"},\n {\"box_2d\": [600, 554, 633, 579], \"label\": \"chicory seed\"},\n {\"box_2d\": [335, 339, 365, 372], \"label\": \"chicory seed\"},\n {\"box_2d\": [323, 455, 353, 476], \"label\": \"chicory seed\"},\n {\"box_2d\": [508, 726, 545, 747], \"label\": \"chicory seed\"},\n {\"box_2d\": [608, 451, 626, 488], \"label\": \"chicory seed\"},\n {\"box_2d\": [274, 487, 304, 521], \"label\": \"chicory seed\"},\n {\"box_2d\": [356, 680, 386, 709], \"label\": \"chicory seed\"},\n {\"box_2d\": [495, 466, 519, 502], \"label\": \"chicory seed\"},\n {\"box_2d\": [573, 210, 610, 238], \"label\": \"chicory seed\"},\n {\"box_2d\": [258, 376, 279, 412], \"label\": \"chicory seed\"},\n {\"box_2d\": [351, 376, 389, 396], \"label\": \"chicory seed\"},\n {\"box_2d\": [731, 542, 753, 582], \"label\": \"chicory seed\"},\n {\"box_2d\": [248, 289, 282, 313], \"label\": \"chicory seed\"},\n {\"box_2d\": [485, 360, 523, 378], \"label\": \"chicory seed\"},\n {\"box_2d\": [517, 699, 559, 724], \"label\": \"chicory seed\"},\n {\"box_2d\": [308, 274, 335, 302], \"label\": \"chicory seed\"},\n {\"box_2d\": [375, 215, 392, 253], \"label\": \"chicory seed\"},\n {\"box_2d\": [420, 245, 450, 278], \"label\": \"chicory seed\"},\n {\"box_2d\": [501, 636, 530, 668], \"label\": \"chicory seed\"},\n {\"box_2d\": [440, 384, 474, 409], \"label\": \"chicory seed\"},\n {\"box_2d\": [617, 198, 656, 226], \"label\": \"chicory seed\"},\n {\"box_2d\": [365, 282, 402, 307], \"label\": \"chicory seed\"},\n {\"box_2d\": [181, 340, 200, 377], \"label\": \"chicory seed\"},\n {\"box_2d\": [535, 472, 571, 502], \"label\": \"chicory seed\"},\n {\"box_2d\": [336, 621, 355, 659], \"label\": \"chicory seed\"},\n {\"box_2d\": [454, 241, 491, 265], \"label\": \"chicory seed\"},\n {\"box_2d\": [449, 608, 476, 644], \"label\": \"chicory seed\"},\n {\"box_2d\": [301, 552, 326, 588], \"label\": \"chicory seed\"},\n {\"box_2d\": [357, 600, 391, 627], \"label\": \"chicory seed\"},\n {\"box_2d\": [298, 368, 323, 403], \"label\": \"chicory seed\"},\n {\"box_2d\": [606, 412, 639, 447], \"label\": \"chicory seed\"},\n {\"box_2d\": [537, 434, 576, 458], \"label\": \"chicory seed\"},\n {\"box_2d\": [362, 633, 384, 669], \"label\": \"chicory seed\"},\n {\"box_2d\": [565, 401, 591, 437], \"label\": \"chicory seed\"},\n {\"box_2d\": [389, 603, 416, 636], \"label\": \"chicory seed\"},\n {\"box_2d\": [586, 453, 603, 490], \"label\": \"chicory seed\"},\n {\"box_2d\": [300, 284, 319, 321], \"label\": \"chicory seed\"},\n {\"box_2d\": [361, 333, 388, 367], \"label\": \"chicory seed\"},\n {\"box_2d\": [482, 383, 519, 401], \"label\": \"chicory seed\"},\n {\"box_2d\": [473, 198, 491, 236], \"label\": \"chicory seed\"},\n {\"box_2d\": [422, 610, 451, 646], \"label\": \"chicory seed\"},\n {\"box_2d\": [463, 727, 496, 751], \"label\": \"chicory seed\"},\n {\"box_2d\": [351, 175, 378, 210], \"label\": \"chicory seed\"},\n {\"box_2d\": [633, 466, 669, 492], \"label\": \"chicory seed\"},\n {\"box_2d\": [193, 540, 227, 563], \"label\": \"chicory seed\"},\n {\"box_2d\": [404, 181, 443, 206], \"label\": \"chicory seed\"},\n {\"box_2d\": [219, 303, 256, 327], \"label\": \"chicory seed\"},\n {\"box_2d\": [567, 169, 599, 199], \"label\": \"chicory seed\"},\n {\"box_2d\": [579, 241, 600, 279], \"label\": \"chicory seed\"},\n {\"box_2d\": [759, 402, 795, 424], \"label\": \"chicory seed\"},\n {\"box_2d\": [429, 346, 464, 368], \"label\": \"chicory seed\"},\n {\"box_2d\": [731, 624, 751, 663], \"label\": \"chicory seed\"},\n {\"box_2d\": [454, 260, 490, 290], \"label\": \"chicory seed\"},\n {\"box_2d\": [278, 340, 309, 371], \"label\": \"chicory seed\"},\n {\"box_2d\": [739, 366, 760, 405], \"label\": \"chicory seed\"},\n {\"box_2d\": [647, 233, 686, 254], \"label\": \"chicory seed\"},\n {\"box_2d\": [632, 532, 667, 553], \"label\": \"chicory seed\"},\n {\"box_2d\": [715, 357, 738, 396], \"label\": \"chicory seed\"},\n {\"box_2d\": [410, 196, 446, 222], \"label\": \"chicory seed\"},\n {\"box_2d\": [332, 285, 360, 322], \"label\": \"chicory seed\"},\n {\"box_2d\": [557, 299, 583, 336], \"label\": \"chicory seed\"},\n {\"box_2d\": [654, 282, 691, 300], \"label\": \"chicory seed\"},\n {\"box_2d\": [529, 144, 553, 184], \"label\": \"chicory seed\"},\n {\"box_2d\": [623, 313, 659, 342], \"label\": \"chicory seed\"},\n {\"box_2d\": [213, 339, 249, 363], \"label\": \"chicory seed\"},\n {\"box_2d\": [526, 363, 559, 389], \"label\": \"chicory seed\"},\n {\"box_2d\": [363, 391, 400, 412], \"label\": \"chicory seed\"},\n {\"box_2d\": [319, 422, 349, 458], \"label\": \"chicory seed\"},\n {\"box_2d\": [723, 318, 750, 354], \"label\": \"chicory seed\"},\n {\"box_2d\": [454, 151, 493, 166], \"label\": \"chicory seed\"},\n {\"box_2d\": [387, 694, 422, 723], \"label\": \"chicory seed\"},\n {\"box_2d\": [179, 498, 214, 521], \"label\": \"chicory seed\"},\n {\"box_2d\": [463, 333, 485, 372], \"label\": \"chicory seed\"},\n {\"box_2d\": [617, 241, 646, 277], \"label\": \"chicory seed\"},\n {\"box_2d\": [656, 405, 691, 427], \"label\": \"chicory seed\"},\n {\"box_2d\": [291, 408, 326, 427], \"label\": \"chicory seed\"},\n {\"box_2d\": [440, 650, 459, 687], \"label\": \"chicory seed\"},\n {\"box_2d\": [715, 581, 740, 621], \"label\": \"chicory seed\"},\n {\"box_2d\": [310, 479, 344, 498], \"label\": \"chicory seed\"},\n {\"box_2d\": [364, 550, 396, 579], \"label\": \"chicory seed\"},\n {\"box_2d\": [406, 632, 425, 668], \"label\": \"chicory seed\"},\n {\"box_2d\": [739, 578, 769, 612], \"label\": \"chicory seed\"},\n {\"box_2d\": [592, 270, 610, 307], \"label\": \"chicory seed\"},\n {\"box_2d\": [404, 407, 439, 436], \"label\": \"chicory seed\"},\n {\"box_2d\": [473, 706, 511, 735], \"label\": \"chicory seed\"},\n {\"box_2d\": [302, 608, 335, 642], \"label\": \"chicory seed\"},\n {\"box_2d\": [381, 327, 412, 360], \"label\": \"chicory seed\"},\n {\"box_2d\": [499, 667, 531, 694], \"label\": \"chicory seed\"},\n {\"box_2d\": [438, 736, 475, 756], \"label\": \"chicory seed\"},\n {\"box_2d\": [215, 521, 253, 540], \"label\": \"chicory seed\"},\n {\"box_2d\": [283, 195, 313, 229], \"label\": \"chicory seed\"},\n {\"box_2d\": [423, 585, 457, 617], \"label\": \"chicory seed\"},\n {\"box_2d\": [468, 594, 512, 620], \"label\": \"chicory seed\"},\n {\"box_2d\": [273, 606, 301, 635], \"label\": \"chicory seed\"},\n {\"box_2d\": [497, 553, 533, 578], \"label\": \"chicory seed\"},\n {\"box_2d\": [553, 545, 577, 587], \"label\": \"chicory seed\"},\n {\"box_2d\": [571, 340, 589, 378], \"label\": \"chicory seed\"},\n {\"box_2d\": [589, 658, 626, 683], \"label\": \"chicory seed\"},\n {\"box_2d\": [196, 424, 230, 456], \"label\": \"chicory seed\"},\n {\"box_2d\": [517, 328, 551, 358], \"label\": \"chicory seed\"},\n {\"box_2d\": [406, 281, 439, 300], \"label\": \"chicory seed\"},\n {\"box_2d\": [449, 312, 484, 340], \"label\": \"chicory seed\"},\n {\"box_2d\": [551, 326, 569, 366], \"label\": \"chicory seed\"},\n {\"box_2d\": [610, 275, 633, 312], \"label\": \"chicory seed\"},\n {\"box_2d\": [641, 587, 670, 621], \"label\": \"chicory seed\"},\n {\"box_2d\": [535, 629, 562, 665], \"label\": \"chicory seed\"},\n {\"box_2d\": [393, 312, 424, 344], \"label\": \"chicory seed\"},\n {\"box_2d\": [254, 454, 289, 482], \"label\": \"chicory seed\"},\n {\"box_2d\": [454, 187, 469, 224], \"label\": \"chicory seed\"},\n {\"box_2d\": [620, 723, 655, 756], \"label\": \"chicory seed\"},\n {\"box_2d\": [364, 261, 396, 291], \"label\": \"chicory seed\"},\n {\"box_2d\": [368, 417, 399, 449], \"label\": \"chicory seed\"},\n {\"box_2d\": [533, 659, 563, 694], \"label\": \"chicory seed\"},\n {\"box_2d\": [295, 697, 322, 735], \"label\": \"chicory seed\"},\n {\"box_2d\": [705, 403, 742, 424], \"label\": \"chicory seed\"},\n {\"box_2d\": [354, 420, 376, 456], \"label\": \"chicory seed\"},\n {\"box_2d\": [524, 297, 558, 328], \"label\": \"chicory seed\"},\n {\"box_2d\": [432, 519, 470, 535], \"label\": \"chicory seed\"},\n {\"box_2d\": [646, 331, 667, 368], \"label\": \"chicory seed\"},\n {\"box_2d\": [464, 616, 496, 651], \"label\": \"chicory seed\"},\n {\"box_2d\": [682, 421, 703, 458], \"label\": \"chicory seed\"},\n {\"box_2d\": [614, 487, 650, 507], \"label\": \"chicory seed\"},\n {\"box_2d\": [495, 417, 530, 438], \"label\": \"chicory seed\"},\n {\"box_2d\": [491, 757, 520, 792], \"label\": \"chicory seed\"},\n {\"box_2d\": [551, 626, 581, 662], \"label\": \"chicory seed\"},\n {\"box_2d\": [351, 200, 381, 230], \"label\": \"chicory seed\"},\n {\"box_2d\": [230, 262, 259, 296], \"label\": \"chicory seed\"},\n {\"box_2d\": [314, 672, 333, 708], \"label\": \"chicory seed\"},\n {\"box_2d\": [606, 700, 644, 718], \"label\": \"chicory seed\"},\n {\"box_2d\": [672, 344, 708, 372], \"label\": \"chicory seed\"},\n {\"box_2d\": [273, 661, 291, 697], \"label\": \"chicory seed\"},\n {\"box_2d\": [238, 591, 258, 630], \"label\": \"chicory seed\"},\n {\"box_2d\": [745, 503, 769, 540], \"label\": \"chicory seed\"},\n {\"box_2d\": [439, 696, 474, 725], \"label\": \"chicory seed\"},\n {\"box_2d\": [745, 286, 767, 326], \"label\": \"chicory seed\"},\n {\"box_2d\": [333, 666, 369, 687], \"label\": \"chicory seed\"},\n {\"box_2d\": [282, 549, 299, 589], \"label\": \"chicory seed\"},\n {\"box_2d\": [736, 466, 769, 498], \"label\": \"chicory seed\"},\n {\"box_2d\": [546, 456, 581, 478], \"label\": \"chicory seed\"},\n {\"box_2d\": [721, 284, 747, 323], \"label\": \"chicory seed\"},\n {\"box_2d\": [626, 424, 658, 459], \"label\": \"chicory seed\"},\n {\"box_2d\": [411, 358, 446, 386], \"label\": \"chicory seed\"},\n {\"box_2d\": [250, 664, 268, 696], \"label\": \"chicory seed\"},\n {\"box_2d\": [485, 306, 517, 336], \"label\": \"chicory seed\"},\n {\"box_2d\": [571, 709, 605, 738], \"label\": \"chicory seed\"},\n {\"box_2d\": [186, 363, 211, 404], \"label\": \"chicory seed\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 10776, "elapsed_seconds": 78.37241066689603, "metadata": {"match_method": "map", "num_predictions": 299, "num_ground_truth": 300, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3203139305114746, "attempts": 1, "retries": 0, "total_seconds": 78.4932}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 242, "image": "4105625_ContRightUpper_f_jpg.rf.262f5072bce0f2365a2193d631224fd1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [323, 0, 505, 162], \"label\": \"shipping container wall dent\"}\n]\n```", "correct": false, "input_tokens": 1255, "output_tokens": 47, "elapsed_seconds": 22.57098370906897, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 22.7153}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 243, "image": "18_jpeg_jpg.rf.b131f08c745acace9daeeea095e0d1ef.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [283, 845, 405, 968], \"label\": \"potato\"},\n {\"box_2d\": [88, 444, 180, 540], \"label\": \"potato\"},\n {\"box_2d\": [84, 19, 191, 108], \"label\": \"potato\"},\n {\"box_2d\": [90, 886, 212, 987], \"label\": \"potato\"},\n {\"box_2d\": [498, 449, 594, 535], \"label\": \"potato\"},\n {\"box_2d\": [500, 613, 603, 699], \"label\": \"potato\"},\n {\"box_2d\": [498, 875, 597, 956], \"label\": \"potato\"},\n {\"box_2d\": [504, 1, 684, 60], \"label\": \"potato\"},\n {\"box_2d\": [493, 236, 622, 323], \"label\": \"potato\"},\n {\"box_2d\": [300, 179, 390, 261], \"label\": \"potato\"},\n {\"box_2d\": [702, 141, 811, 249], \"label\": \"potato\"},\n {\"box_2d\": [721, 542, 817, 627], \"label\": \"potato\"},\n {\"box_2d\": [715, 665, 817, 749], \"label\": \"potato\"},\n {\"box_2d\": [689, 936, 792, 1000], \"label\": \"potato\"},\n {\"box_2d\": [721, 355, 819, 476], \"label\": \"potato\"},\n {\"box_2d\": [906, 147, 998, 254], \"label\": \"potato\"},\n {\"box_2d\": [904, 596, 998, 691], \"label\": \"potato\"},\n {\"box_2d\": [871, 916, 985, 1000], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1240, "output_tokens": 619, "elapsed_seconds": 8.050019292044453, "metadata": {"match_method": "map", "num_predictions": 18, "num_ground_truth": 18, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 8.0943}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 244, "image": "lot312_JPEG_jpg.rf.6c72b39304c1a45a005f911f32e89494.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [134, 480, 159, 520], \"label\": \"chicory seed\"},\n {\"box_2d\": [140, 417, 169, 459], \"label\": \"chicory seed\"},\n {\"box_2d\": [153, 381, 181, 417], \"label\": \"chicory seed\"},\n {\"box_2d\": [166, 323, 194, 363], \"label\": \"chicory seed\"},\n {\"box_2d\": [181, 357, 211, 398], \"label\": \"chicory seed\"},\n {\"box_2d\": [191, 314, 218, 357], \"label\": \"chicory seed\"},\n {\"box_2d\": [190, 390, 218, 430], \"label\": \"chicory seed\"},\n {\"box_2d\": [213, 344, 238, 388], \"label\": \"chicory seed\"},\n {\"box_2d\": [216, 265, 241, 309], \"label\": \"chicory seed\"},\n {\"box_2d\": [224, 310, 250, 351], \"label\": \"chicory seed\"},\n {\"box_2d\": [218, 376, 250, 415], \"label\": \"chicory seed\"},\n {\"box_2d\": [225, 396, 265, 430], \"label\": \"chicory seed\"},\n {\"box_2d\": [238, 348, 271, 388], \"label\": \"chicory seed\"},\n {\"box_2d\": [264, 376, 294, 417], \"label\": \"chicory seed\"},\n {\"box_2d\": [210, 427, 250, 464], \"label\": \"chicory seed\"},\n {\"box_2d\": [243, 427, 276, 468], \"label\": \"chicory seed\"},\n {\"box_2d\": [215, 470, 260, 498], \"label\": \"chicory seed\"},\n {\"box_2d\": [193, 449, 222, 490], \"label\": \"chicory seed\"},\n {\"box_2d\": [173, 462, 198, 504], \"label\": \"chicory seed\"},\n {\"box_2d\": [155, 469, 181, 511], 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\"label\": \"chicory seed\"},\n {\"box_2d\": [512, 638, 543, 685], \"label\": \"chicory seed\"},\n {\"box_2d\": [495, 658, 530, 702], \"label\": \"chicory seed\"},\n {\"box_2d\": [525, 702, 567, 730], \"label\": \"chicory seed\"},\n {\"box_2d\": [512, 727, 553, 755], \"label\": \"chicory seed\"},\n {\"box_2d\": [508, 753, 538, 796], \"label\": \"chicory seed\"},\n {\"box_2d\": [533, 757, 565, 800], \"label\": \"chicory seed\"},\n {\"box_2d\": [506, 806, 538, 849], \"label\": \"chicory seed\"},\n {\"box_2d\": [477, 777, 517, 813], \"label\": \"chicory seed\"},\n {\"box_2d\": [450, 798, 493, 825], \"label\": \"chicory seed\"},\n {\"box_2d\": [464, 827, 504, 858], \"label\": \"chicory seed\"},\n {\"box_2d\": [448, 855, 478, 898], \"label\": \"chicory seed\"},\n {\"box_2d\": [423, 850, 452, 893], \"label\": \"chicory seed\"},\n {\"box_2d\": [406, 832, 431, 875], \"label\": \"chicory seed\"},\n {\"box_2d\": [423, 794, 451, 836], \"label\": \"chicory seed\"},\n {\"box_2d\": [406, 769, 445, 805], \"label\": \"chicory seed\"},\n {\"box_2d\": [421, 743, 464, 767], \"label\": \"chicory seed\"},\n {\"box_2d\": [438, 704, 481, 743], \"label\": \"chicory seed\"},\n {\"box_2d\": [473, 699, 502, 743], \"label\": \"chicory seed\"},\n {\"box_2d\": [491, 685, 523, 725], \"label\": \"chicory seed\"},\n {\"box_2d\": [466, 663, 496, 707], \"label\": \"chicory seed\"},\n {\"box_2d\": [442, 635, 484, 663], \"label\": \"chicory seed\"},\n {\"box_2d\": [404, 604, 449, 632], \"label\": \"chicory seed\"},\n {\"box_2d\": [423, 653, 464, 684], \"label\": \"chicory seed\"},\n {\"box_2d\": [429, 678, 461, 717], \"label\": \"chicory seed\"},\n {\"box_2d\": [409, 676, 432, 720], \"label\": \"chicory seed\"},\n {\"box_2d\": [390, 685, 418, 728], \"label\": \"chicory seed\"},\n {\"box_2d\": [379, 644, 408, 687], \"label\": \"chicory seed\"},\n {\"box_2d\": [366, 721, 408, 753], \"label\": \"chicory seed\"},\n {\"box_2d\": [384, 751, 423, 783], \"label\": \"chicory seed\"},\n {\"box_2d\": [369, 757, 404, 797], \"label\": \"chicory seed\"},\n {\"box_2d\": [357, 785, 391, 824], \"label\": \"chicory seed\"},\n {\"box_2d\": [373, 840, 412, 878], \"label\": \"chicory seed\"},\n {\"box_2d\": [357, 821, 400, 850], \"label\": \"chicory seed\"},\n {\"box_2d\": [325, 816, 360, 856], \"label\": \"chicory seed\"},\n {\"box_2d\": [335, 768, 376, 800], \"label\": \"chicory seed\"},\n {\"box_2d\": [329, 731, 367, 769], \"label\": \"chicory seed\"},\n {\"box_2d\": [322, 688, 362, 722], \"label\": \"chicory seed\"},\n {\"box_2d\": [301, 716, 333, 759], \"label\": \"chicory seed\"},\n {\"box_2d\": [313, 759, 338, 802], \"label\": \"chicory seed\"},\n {\"box_2d\": [298, 800, 337, 836], \"label\": \"chicory seed\"},\n {\"box_2d\": [278, 788, 319, 820], \"label\": \"chicory seed\"},\n {\"box_2d\": [283, 755, 316, 792], \"label\": \"chicory seed\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 10812, "elapsed_seconds": 72.95143229106907, "metadata": {"match_method": "map", "num_predictions": 300, "num_ground_truth": 291, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.2987273037433624, "attempts": 1, "retries": 0, "total_seconds": 73.089}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 245, "image": "DJI_0271_JPG_jpg.rf.58c0e5179915be4446df421b02825d3d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [553, 792, 699, 916], \"label\": \"excavator\"},\n {\"box_2d\": [182, 790, 232, 828], \"label\": \"dump truck\"},\n {\"box_2d\": [266, 87, 314, 130], \"label\": \"excavator\"},\n {\"box_2d\": [219, 86, 281, 117], \"label\": \"excavator\"},\n {\"box_2d\": [323, 681, 355, 735], \"label\": \"excavator\"},\n {\"box_2d\": [0, 360, 1000, 622], \"label\": \"tower crane\"}\n]\n```", "correct": true, "input_tokens": 1206, "output_tokens": 223, "elapsed_seconds": 70.04270887502935, "metadata": {"match_method": "map", "num_predictions": 6, "num_ground_truth": 6, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 71.3197}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 246, "image": "IMG_3900_JPG.rf.5ee75659ac02193213ba7636038947a4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [405, 152, 478, 265], \"label\": \"500 poker chip\"},\n {\"box_2d\": [501, 92, 581, 211], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [590, 134, 682, 264], \"label\": \"10 poker chip\"},\n {\"box_2d\": [513, 206, 597, 323], \"label\": \"100 poker chip\"},\n {\"box_2d\": [416, 266, 488, 376], \"label\": \"10 poker chip\"},\n {\"box_2d\": [358, 321, 426, 427], \"label\": \"10 poker chip\"},\n {\"box_2d\": [468, 325, 546, 439], \"label\": \"500 poker chip\"},\n {\"box_2d\": [565, 286, 653, 408], \"label\": \"10 poker chip\"},\n {\"box_2d\": [699, 250, 804, 386], \"label\": \"20 poker chip\"},\n {\"box_2d\": [630, 355, 728, 483], \"label\": \"10 poker chip\"},\n {\"box_2d\": [718, 397, 825, 535], \"label\": \"10 poker chip\"},\n {\"box_2d\": [525, 393, 608, 511], \"label\": \"10 poker chip\"},\n {\"box_2d\": [428, 422, 502, 532], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [368, 486, 437, 591], \"label\": \"5 poker chip\"},\n {\"box_2d\": [324, 567, 391, 669], \"label\": \"50 poker chip\"},\n {\"box_2d\": [393, 639, 463, 748], \"label\": \"10000 poker chip\"},\n {\"box_2d\": [482, 488, 562, 603], \"label\": \"100 poker chip\"},\n {\"box_2d\": [502, 600, 585, 718], \"label\": \"100 poker chip\"},\n {\"box_2d\": [458, 682, 536, 799], \"label\": \"50 poker chip\"},\n {\"box_2d\": [540, 740, 625, 864], \"label\": \"100 poker chip\"},\n {\"box_2d\": [581, 616, 672, 740], \"label\": \"5 poker chip\"},\n {\"box_2d\": [592, 470, 685, 595], \"label\": \"50 poker chip\"},\n {\"box_2d\": [624, 738, 720, 869], \"label\": \"100 poker chip\"},\n {\"box_2d\": [689, 638, 794, 773], \"label\": \"100 poker chip\"},\n {\"box_2d\": [742, 528, 854, 668], \"label\": \"100 poker chip\"}\n]\n```", "correct": true, "input_tokens": 1252, "output_tokens": 950, "elapsed_seconds": 25.167007124982774, "metadata": {"match_method": "map", "num_predictions": 25, "num_ground_truth": 25, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 26.0545}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 247, "image": "9AAEA6F5-FD0E-47BE-8596-0D85E5F62F1A_jpg.rf.7b7e8cbfdfc78f2c2cad6219290c51d6.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [757, 631, 800, 720], \"label\": \"pill\"},\n {\"box_2d\": [794, 289, 845, 381], \"label\": \"pill\"},\n {\"box_2d\": [694, 286, 752, 375], \"label\": \"pill\"},\n {\"box_2d\": [602, 362, 691, 396], \"label\": \"pill\"},\n {\"box_2d\": [718, 640, 764, 730], \"label\": \"pill\"},\n {\"box_2d\": [685, 638, 725, 727], \"label\": \"pill\"},\n {\"box_2d\": [588, 725, 672, 780], \"label\": \"pill\"},\n {\"box_2d\": [562, 749, 646, 804], \"label\": \"pill\"},\n {\"box_2d\": [556, 686, 642, 729], \"label\": \"pill\"},\n {\"box_2d\": [519, 619, 597, 684], \"label\": \"pill\"},\n {\"box_2d\": [468, 728, 548, 787], \"label\": \"pill\"},\n {\"box_2d\": [379, 737, 463, 777], \"label\": \"pill\"},\n {\"box_2d\": [360, 706, 444, 751], \"label\": \"pill\"},\n {\"box_2d\": [295, 721, 375, 777], \"label\": \"pill\"},\n {\"box_2d\": [297, 690, 381, 722], \"label\": \"pill\"},\n {\"box_2d\": [334, 661, 419, 695], \"label\": \"pill\"},\n {\"box_2d\": [336, 628, 421, 661], \"label\": \"pill\"},\n {\"box_2d\": [313, 599, 397, 631], \"label\": \"pill\"},\n {\"box_2d\": [316, 567, 401, 599], \"label\": \"pill\"},\n {\"box_2d\": [351, 522, 434, 567], \"label\": \"pill\"},\n {\"box_2d\": [401, 528, 468, 602], \"label\": \"pill\"},\n {\"box_2d\": [442, 549, 511, 622], \"label\": \"pill\"},\n {\"box_2d\": [465, 575, 528, 653], \"label\": \"pill\"},\n {\"box_2d\": [465, 443, 537, 511], \"label\": \"pill\"},\n {\"box_2d\": [520, 388, 558, 474], \"label\": \"pill\"},\n {\"box_2d\": [555, 355, 590, 443], \"label\": \"pill\"},\n {\"box_2d\": [451, 358, 535, 404], \"label\": \"pill\"},\n {\"box_2d\": [443, 329, 529, 374], \"label\": \"pill\"},\n {\"box_2d\": [496, 251, 573, 322], \"label\": \"pill\"},\n {\"box_2d\": [446, 168, 534, 206], \"label\": \"pill\"},\n {\"box_2d\": [380, 187, 447, 263], \"label\": \"pill\"},\n {\"box_2d\": [261, 205, 344, 258], \"label\": \"pill\"},\n {\"box_2d\": [244, 371, 300, 452], \"label\": \"pill\"},\n {\"box_2d\": [296, 432, 379, 483], \"label\": \"pill\"},\n {\"box_2d\": [287, 472, 342, 551], \"label\": \"pill\"},\n {\"box_2d\": [318, 484, 375, 562], \"label\": \"pill\"},\n {\"box_2d\": [164, 410, 245, 452], \"label\": \"pill\"},\n {\"box_2d\": [164, 467, 236, 534], \"label\": \"pill\"},\n {\"box_2d\": [161, 542, 205, 622], \"label\": \"pill\"},\n {\"box_2d\": [155, 687, 222, 756], \"label\": \"pill\"},\n {\"box_2d\": [92, 728, 173, 764], \"label\": \"pill\"},\n {\"box_2d\": [138, 269, 194, 347], \"label\": \"pill\"},\n {\"box_2d\": [171, 213, 208, 297], \"label\": \"pill\"},\n {\"box_2d\": [138, 182, 189, 264], \"label\": \"pill\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 1507, "elapsed_seconds": 22.848994207917713, "metadata": {"match_method": "map", "num_predictions": 44, "num_ground_truth": 44, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 23.5102}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 248, "image": "DJI_0237_JPG_jpg.rf.cb5e6b368dca69cc9b7bc36fb47fd6fb.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [585, 556, 750, 623], \"label\": \"excavator\"},\n {\"box_2d\": [266, 920, 712, 1000], \"label\": \"tower crane\"},\n {\"box_2d\": [381, 864, 434, 952], \"label\": \"concrete mixer\"},\n {\"box_2d\": [254, 539, 294, 558], \"label\": \"concrete mixer\"},\n {\"box_2d\": [275, 226, 303, 273], \"label\": \"dump truck\"},\n {\"box_2d\": [301, 181, 333, 231], \"label\": \"dump truck\"}\n]\n```", "correct": true, "input_tokens": 1209, "output_tokens": 224, "elapsed_seconds": 37.611252125003375, "metadata": {"match_method": "map", "num_predictions": 6, "num_ground_truth": 7, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8762375712394714, "attempts": 1, "retries": 0, "total_seconds": 38.8385}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 249, "image": "42ba34_9_9_png_jpg.rf.30ad6b17178011a7360591145cf422a2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [397, 991, 421, 1000], \"label\": \"goalkeeper\"},\n {\"box_2d\": [757, 891, 822, 910], \"label\": \"referee\"},\n {\"box_2d\": [614, 675, 678, 692], \"label\": \"player\"},\n {\"box_2d\": [547, 698, 597, 714], \"label\": \"player\"},\n {\"box_2d\": [443, 675, 488, 686], \"label\": \"player\"},\n {\"box_2d\": [387, 716, 443, 725], \"label\": \"player\"},\n {\"box_2d\": [399, 716, 442, 724], \"label\": \"player\"},\n {\"box_2d\": [324, 658, 359, 669], \"label\": \"player\"},\n {\"box_2d\": [401, 591, 443, 600], \"label\": \"player\"},\n {\"box_2d\": [314, 567, 345, 577], \"label\": \"player\"},\n {\"box_2d\": [383, 479, 419, 494], \"label\": \"player\"},\n {\"box_2d\": [423, 479, 469, 489], \"label\": \"referee\"},\n {\"box_2d\": [408, 456, 453, 467], \"label\": \"player\"},\n {\"box_2d\": [399, 451, 439, 464], \"label\": \"player\"},\n {\"box_2d\": [471, 502, 521, 519], \"label\": \"player\"},\n {\"box_2d\": [512, 438, 565, 449], \"label\": \"player\"},\n {\"box_2d\": [298, 409, 333, 417], \"label\": \"player\"},\n {\"box_2d\": [357, 320, 396, 330], \"label\": \"player\"},\n {\"box_2d\": [368, 307, 406, 319], \"label\": \"player\"},\n {\"box_2d\": [588, 316, 639, 326], \"label\": \"player\"},\n {\"box_2d\": [614, 256, 667, 267], \"label\": \"player\"},\n {\"box_2d\": [477, 200, 528, 210], \"label\": \"player\"},\n {\"box_2d\": [468, 166, 514, 180], \"label\": \"player\"},\n {\"box_2d\": [378, 18, 418, 29], \"label\": \"goalkeeper\"},\n {\"box_2d\": [266, 313, 278, 324], \"label\": \"referee\"}\n]\n```", "correct": false, "input_tokens": 1242, "output_tokens": 866, "elapsed_seconds": 9.18493829201907, "metadata": {"match_method": "map", "num_predictions": 25, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.4573019742965698, "attempts": 1, "retries": 0, "total_seconds": 9.3102}} diff --git a/results/detection_gemini-4-argon_high_20261013_070134.jsonl b/results/detection_gemini-4-argon_high_20261013_070134.jsonl new file mode 100644 index 0000000..9d78cf2 --- /dev/null +++ b/results/detection_gemini-4-argon_high_20261013_070134.jsonl @@ -0,0 +1,250 @@ +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 0, "image": "Screenshot-2024-05-16-144612_png.rf.ae5a345319058fdba768605388143544.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [163, 260, 190, 290], \"label\": \"bullet hole\"},\n {\"box_2d\": [243, 272, 268, 300], \"label\": \"bullet hole\"},\n {\"box_2d\": [349, 286, 376, 315], \"label\": \"bullet hole\"},\n {\"box_2d\": [418, 294, 445, 323], \"label\": \"bullet hole\"},\n {\"box_2d\": [213, 549, 237, 579], \"label\": \"bullet hole\"},\n {\"box_2d\": [287, 548, 316, 576], \"label\": \"bullet hole\"},\n {\"box_2d\": [364, 548, 390, 576], \"label\": \"bullet hole\"},\n {\"box_2d\": [119, 833, 144, 860], \"label\": \"bullet hole\"},\n {\"box_2d\": [274, 833, 298, 858], \"label\": \"bullet hole\"},\n {\"box_2d\": [403, 761, 431, 789], \"label\": \"bullet hole\"},\n {\"box_2d\": [454, 891, 483, 920], \"label\": \"bullet hole\"},\n {\"box_2d\": [417, 968, 446, 999], \"label\": \"bullet hole\"},\n {\"box_2d\": [528, 966, 554, 996], \"label\": \"bullet hole\"},\n {\"box_2d\": [520, 826, 547, 855], \"label\": \"bullet hole\"},\n {\"box_2d\": [576, 888, 604, 918], \"label\": \"bullet hole\"},\n {\"box_2d\": [565, 464, 594, 493], \"label\": \"bullet hole\"},\n {\"box_2d\": [649, 392, 676, 422], \"label\": \"bullet hole\"},\n {\"box_2d\": [615, 71, 641, 98], \"label\": \"bullet hole\"},\n {\"box_2d\": [835, 40, 858, 71], \"label\": \"bullet hole\"},\n {\"box_2d\": [892, 157, 914, 183], \"label\": \"bullet hole\"},\n {\"box_2d\": [821, 231, 850, 259], \"label\": \"bullet hole\"},\n {\"box_2d\": [703, 310, 728, 335], \"label\": \"bullet hole\"},\n {\"box_2d\": [819, 459, 845, 487], \"label\": \"bullet hole\"},\n {\"box_2d\": [869, 430, 893, 460], \"label\": \"bullet hole\"},\n {\"box_2d\": [834, 574, 862, 606], \"label\": \"bullet hole\"},\n {\"box_2d\": [774, 703, 802, 734], \"label\": \"bullet hole\"},\n {\"box_2d\": [954, 686, 984, 720], \"label\": \"bullet hole\"},\n {\"box_2d\": [839, 891, 868, 920], \"label\": \"bullet hole\"},\n {\"box_2d\": [955, 889, 984, 919], \"label\": \"bullet hole\"}\n]\n```", "correct": false, "input_tokens": 1226, "output_tokens": 2600, "elapsed_seconds": 26.542945874971338, "metadata": {"match_method": "map", "num_predictions": 29, "num_ground_truth": 29, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5233867764472961, "attempts": 1, "retries": 0, "total_seconds": 26.5732}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 1, "image": "img_462887999701516572_png.rf.318af6a4e9ad42c15e8fcc520375ad9b.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [306, 253, 366, 368], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [352, 236, 417, 360], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [400, 215, 467, 344], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [452, 195, 521, 335], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [513, 179, 582, 326], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [577, 155, 650, 315], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [648, 130, 728, 299], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [724, 113, 819, 287], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [289, 367, 346, 474], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [333, 358, 394, 473], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [380, 348, 444, 471], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [431, 330, 498, 463], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [489, 322, 557, 461], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [553, 310, 622, 456], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [619, 291, 694, 446], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [691, 276, 780, 439], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [312, 469, 368, 579], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [358, 465, 419, 581], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [409, 455, 473, 582], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [463, 451, 530, 585], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [524, 443, 593, 586], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [590, 439, 661, 587], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [658, 427, 738, 583], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [734, 416, 829, 577], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [294, 572, 354, 686], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [339, 572, 399, 693], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [386, 571, 451, 696], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [441, 570, 508, 703], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [500, 572, 570, 715], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [565, 572, 636, 720], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [632, 569, 711, 726], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [706, 567, 798, 731], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [314, 681, 376, 800], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [361, 684, 426, 811], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [409, 687, 478, 825], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [466, 691, 535, 837], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [527, 696, 597, 853], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [592, 699, 666, 868], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [661, 710, 744, 886], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [738, 719, 835, 900], \"label\": \"full portable gas cylinder\"}\n]\n```", "correct": true, "input_tokens": 1217, "output_tokens": 4425, "elapsed_seconds": 40.400928167044185, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 40, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 40.7213}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 2, "image": "basketball-player-detection_boston-celtics-new-york-knicks-game-1-q1-03-16-03-11-0135_png.rf.87404d3bb76bef98d9e926e5ec1e2966.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [266, 291, 300, 310], \"label\": \"basketball\"},\n {\"box_2d\": [266, 304, 293, 338], \"label\": \"basket rim\"},\n {\"box_2d\": [281, 315, 622, 375], \"label\": \"player\"},\n {\"box_2d\": [281, 315, 622, 375], \"label\": \"player doing layup dunk\"},\n {\"box_2d\": [388, 283, 643, 381], \"label\": \"player\"},\n {\"box_2d\": [368, 370, 599, 434], \"label\": \"player\"},\n {\"box_2d\": [458, 412, 703, 487], \"label\": \"player\"},\n {\"box_2d\": [632, 348, 902, 416], \"label\": \"player\"},\n {\"box_2d\": [270, 672, 504, 738], \"label\": \"player\"},\n {\"box_2d\": [411, 799, 687, 853], \"label\": \"player\"},\n {\"box_2d\": [656, 725, 954, 822], \"label\": \"player\"},\n {\"box_2d\": [745, 881, 998, 965], \"label\": \"player\"},\n {\"box_2d\": [836, 411, 1000, 471], \"label\": \"referee\"},\n {\"box_2d\": [288, 263, 477, 305], \"label\": \"referee\"},\n {\"box_2d\": [703, 377, 735, 391], \"label\": \"jersey number\"},\n {\"box_2d\": [524, 453, 552, 463], \"label\": \"jersey number\"},\n {\"box_2d\": [341, 704, 362, 713], \"label\": \"jersey number\"},\n {\"box_2d\": [729, 777, 761, 801], \"label\": \"jersey number\"},\n {\"box_2d\": [896, 429, 924, 444], \"label\": \"jersey number\"}\n]\n```", "correct": false, "input_tokens": 1256, "output_tokens": 5172, "elapsed_seconds": 47.6352149999002, "metadata": {"match_method": "map", "num_predictions": 19, "num_ground_truth": 19, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6701241135597229, "attempts": 2, "retries": 1, "total_seconds": 111.5162, "transient_errors": ["RemoteProtocolError"]}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 3, "image": "fall-detection_all_mp4-1653_jpg.rf.9fa9a5ca42070b76929d3ba6ab91e945.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [469, 355, 539, 517], \"label\": \"fallen person\"},\n {\"box_2d\": [511, 430, 624, 592], \"label\": \"fallen person\"},\n {\"box_2d\": [417, 206, 486, 342], \"label\": \"fallen person\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 670, "elapsed_seconds": 8.097492625005543, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 8.1235}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 4, "image": "Screenshot-2024-05-16-150857_png.rf.d53edfaec65ba17dbc56ff856e70ed0d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 745, 20, 773], \"label\": \"bullet hole\"},\n {\"box_2d\": [28, 463, 52, 489], \"label\": \"bullet hole\"},\n {\"box_2d\": [60, 519, 86, 548], \"label\": \"bullet hole\"},\n {\"box_2d\": [71, 630, 96, 658], \"label\": \"bullet hole\"},\n {\"box_2d\": [112, 825, 139, 854], \"label\": \"bullet hole\"},\n {\"box_2d\": [121, 320, 149, 349], \"label\": \"bullet hole\"},\n {\"box_2d\": [137, 209, 165, 237], \"label\": \"bullet hole\"},\n {\"box_2d\": [162, 619, 189, 648], \"label\": \"bullet hole\"},\n {\"box_2d\": [208, 888, 236, 916], \"label\": \"bullet hole\"},\n {\"box_2d\": [294, 63, 323, 91], \"label\": \"bullet hole\"},\n {\"box_2d\": [338, 323, 367, 351], \"label\": \"bullet hole\"},\n {\"box_2d\": [409, 920, 436, 947], \"label\": \"bullet hole\"},\n {\"box_2d\": [437, 311, 466, 339], \"label\": \"bullet hole\"},\n {\"box_2d\": [436, 672, 464, 701], \"label\": \"bullet hole\"},\n {\"box_2d\": [468, 143, 498, 171], \"label\": \"bullet hole\"},\n {\"box_2d\": [521, 542, 549, 570], \"label\": \"bullet hole\"},\n {\"box_2d\": [546, 963, 575, 991], \"label\": \"bullet hole\"},\n {\"box_2d\": [608, 880, 637, 908], \"label\": \"bullet hole\"},\n {\"box_2d\": [614, 407, 645, 437], \"label\": \"bullet hole\"},\n {\"box_2d\": [623, 0, 651, 22], \"label\": \"bullet hole\"},\n {\"box_2d\": [682, 266, 712, 294], \"label\": \"bullet hole\"},\n {\"box_2d\": [691, 722, 720, 752], \"label\": \"bullet hole\"},\n {\"box_2d\": [709, 567, 740, 597], \"label\": \"bullet hole\"},\n {\"box_2d\": [781, 365, 809, 395], \"label\": \"bullet hole\"},\n {\"box_2d\": [799, 0, 825, 19], \"label\": \"bullet hole\"},\n {\"box_2d\": [800, 228, 830, 256], \"label\": \"bullet hole\"},\n {\"box_2d\": [811, 811, 836, 837], \"label\": \"bullet hole\"},\n {\"box_2d\": [891, 186, 920, 214], \"label\": \"bullet hole\"},\n {\"box_2d\": [920, 632, 950, 661], \"label\": \"bullet hole\"},\n {\"box_2d\": [955, 976, 987, 1000], \"label\": \"bullet hole\"},\n {\"box_2d\": [982, 182, 1000, 210], \"label\": \"bullet hole\"},\n {\"box_2d\": [986, 524, 1000, 551], \"label\": \"bullet hole\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 3064, "elapsed_seconds": 27.05862162495032, "metadata": {"match_method": "map", "num_predictions": 32, "num_ground_truth": 32, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9526609182357788, "attempts": 1, "retries": 0, "total_seconds": 27.0906}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 5, "image": "oil-tank-detection_oiltank_9_jpg.rf.acb372553a5f5f447313e4035eef562f.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [119, 98, 232, 204], \"label\": \"oil tank\"},\n {\"box_2d\": [114, 229, 228, 336], \"label\": \"oil tank\"},\n {\"box_2d\": [109, 362, 222, 469], \"label\": \"oil tank\"},\n {\"box_2d\": [105, 496, 217, 601], \"label\": \"oil tank\"},\n {\"box_2d\": [101, 628, 214, 735], \"label\": \"oil tank\"},\n {\"box_2d\": [94, 759, 208, 868], \"label\": \"oil tank\"},\n {\"box_2d\": [272, 100, 388, 208], \"label\": \"oil tank\"},\n {\"box_2d\": [265, 234, 381, 342], \"label\": \"oil tank\"},\n {\"box_2d\": [262, 368, 377, 474], \"label\": \"oil tank\"},\n {\"box_2d\": [254, 502, 369, 608], \"label\": \"oil tank\"},\n {\"box_2d\": [247, 632, 366, 742], \"label\": \"oil tank\"},\n {\"box_2d\": [245, 769, 361, 876], \"label\": \"oil tank\"},\n {\"box_2d\": [483, 98, 605, 209], \"label\": \"oil tank\"},\n {\"box_2d\": [480, 234, 601, 345], \"label\": \"oil tank\"},\n {\"box_2d\": [475, 369, 597, 481], \"label\": \"oil tank\"},\n {\"box_2d\": [470, 505, 591, 616], \"label\": \"oil tank\"},\n {\"box_2d\": [462, 642, 583, 753], \"label\": \"oil tank\"},\n {\"box_2d\": [628, 368, 754, 483], \"label\": \"oil tank\"},\n {\"box_2d\": [624, 511, 748, 622], \"label\": \"oil tank\"},\n {\"box_2d\": [619, 647, 741, 759], \"label\": \"oil tank\"}\n]\n```", "correct": true, "input_tokens": 1217, "output_tokens": 1932, "elapsed_seconds": 16.647650832892396, "metadata": {"match_method": "map", "num_predictions": 20, "num_ground_truth": 20, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 16.7355}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 6, "image": "signatures_image_38_png_jpg.rf.1d9c4bd922f8563e58275de808cd3984.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [362, 745, 411, 931], \"label\": \"signature\"},\n {\"box_2d\": [441, 643, 468, 703], \"label\": \"signature\"},\n {\"box_2d\": [859, 759, 917, 949], \"label\": \"signature\"},\n {\"box_2d\": [951, 634, 982, 695], \"label\": \"signature\"}\n]\n```", "correct": true, "input_tokens": 1211, "output_tokens": 1238, "elapsed_seconds": 14.213875625049695, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 14.2347}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 7, "image": "1704193901210_jpg.rf.2395376f26cee29d85e60b22c59c37b4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [267, 411, 328, 470], \"label\": \"corn kernel\"},\n {\"box_2d\": [310, 528, 355, 598], \"label\": \"corn kernel\"},\n {\"box_2d\": [405, 317, 475, 372], \"label\": \"corn kernel\"},\n {\"box_2d\": [416, 618, 477, 681], \"label\": \"corn kernel\"},\n {\"box_2d\": [455, 784, 501, 845], \"label\": \"corn kernel\"},\n {\"box_2d\": [514, 770, 579, 813], \"label\": \"corn kernel\"},\n {\"box_2d\": [532, 655, 582, 728], \"label\": \"corn kernel\"},\n {\"box_2d\": [540, 425, 588, 489], \"label\": \"corn kernel\"},\n {\"box_2d\": [577, 263, 637, 305], \"label\": \"corn kernel\"},\n {\"box_2d\": [616, 563, 677, 610], \"label\": \"corn kernel\"},\n {\"box_2d\": [609, 748, 660, 806], \"label\": \"corn kernel\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 1441, "elapsed_seconds": 11.963512708898634, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 11.9757}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 8, "image": "IMG_0620_jpeg.rf.0c9c3b0a23079483a0b0e1651801d9a9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [377, 263, 492, 330], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [289, 383, 370, 475], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [281, 511, 377, 584], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [284, 581, 391, 645], \"label\": \"caramel corn jelly bean\"},\n {\"box_2d\": [396, 388, 502, 480], \"label\": \"peach jelly bean\"},\n {\"box_2d\": [488, 512, 616, 594], \"label\": \"peach jelly bean\"},\n {\"box_2d\": [380, 509, 488, 595], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [506, 331, 643, 415], \"label\": \"tutti-fruitti jelly bean\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 1382, "elapsed_seconds": 14.555296792066656, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 14.5988}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 9, "image": "paper-parts_163482_102_jpg.rf.d878bfe8193ad78ee6e9bd012ea9324e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [94, 118, 108, 573], \"label\": \"subsection\"},\n {\"box_2d\": [128, 118, 142, 707], \"label\": \"paragraph\"},\n {\"box_2d\": [196, 333, 344, 667], \"label\": \"figure\"},\n {\"box_2d\": [369, 341, 382, 658], \"label\": \"figure caption\"},\n {\"box_2d\": [432, 118, 447, 493], \"label\": \"subsection\"},\n {\"box_2d\": [467, 118, 513, 862], \"label\": \"paragraph\"},\n {\"box_2d\": [529, 334, 566, 666], \"label\": \"equation\"},\n {\"box_2d\": [581, 422, 608, 578], \"label\": \"equation\"},\n {\"box_2d\": [624, 118, 637, 613], \"label\": \"paragraph\"},\n {\"box_2d\": [654, 338, 692, 662], \"label\": \"equation\"},\n {\"box_2d\": [706, 431, 733, 569], \"label\": \"equation\"},\n {\"box_2d\": [749, 118, 763, 547], \"label\": \"paragraph\"},\n {\"box_2d\": [780, 329, 817, 671], \"label\": \"equation\"},\n {\"box_2d\": [831, 431, 858, 569], \"label\": \"equation\"},\n {\"box_2d\": [923, 491, 936, 509], \"label\": \"page number\"}\n]\n```", "correct": false, "input_tokens": 1250, "output_tokens": 2136, "elapsed_seconds": 18.88236654200591, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 14, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7301979660987854, "attempts": 1, "retries": 0, "total_seconds": 18.9173}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 10, "image": "20210325_203432_jpg.rf.8eb2129f7a101d085f4cb925da755682.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [105, 275, 311, 480], \"label\": \"50 euro cent coin\"},\n {\"box_2d\": [134, 616, 294, 773], \"label\": \"2 euro cent coin\"},\n {\"box_2d\": [291, 461, 458, 628], \"label\": \"10 euro cent coin\"},\n {\"box_2d\": [333, 661, 520, 848], \"label\": \"20 euro cent coin\"},\n {\"box_2d\": [378, 162, 575, 359], \"label\": \"1 euro coin\"},\n {\"box_2d\": [536, 419, 675, 555], \"label\": \"1 euro cent coin\"},\n {\"box_2d\": [703, 205, 881, 383], \"label\": \"5 euro cent coin\"},\n {\"box_2d\": [650, 544, 869, 761], \"label\": \"2 euro coin\"}\n]\n```", "correct": true, "input_tokens": 1272, "output_tokens": 998, "elapsed_seconds": 8.435307707986794, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 8.4555}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 11, "image": "2024-12-05T02-01-20-119Z-4010_jpg.rf.4f789285ff5c3a1889420326440bc9d1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [456, 451, 617, 572], \"label\": \"wire hole\"},\n {\"box_2d\": [828, 699, 910, 759], \"label\": \"screw\"}\n]\n```", "correct": false, "input_tokens": 1203, "output_tokens": 2279, "elapsed_seconds": 25.63758412504103, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6683167815208435, "attempts": 1, "retries": 0, "total_seconds": 25.7797}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 12, "image": "Container-146_jpg.rf.1f5b3bfa7143f6b016b2b85ca3940e5c.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [160, 609, 202, 916], \"label\": \"shipping container number\"},\n {\"box_2d\": [212, 748, 250, 826], \"label\": \"container ISO type code\"}\n]\n```", "correct": true, "input_tokens": 1232, "output_tokens": 434, "elapsed_seconds": 6.24773466703482, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 6.2586}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 13, "image": "GP010248_JPG_jpg.rf.c2ac2602f1905971af1173c3ba311542.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [229, 301, 286, 496], \"label\": \"carrot\"},\n {\"box_2d\": [270, 279, 309, 460], \"label\": \"carrot\"},\n {\"box_2d\": [289, 179, 354, 412], \"label\": \"carrot\"},\n {\"box_2d\": [345, 117, 389, 355], \"label\": \"carrot\"},\n {\"box_2d\": [376, 143, 441, 344], \"label\": \"carrot\"},\n {\"box_2d\": [367, 40, 520, 150], \"label\": \"carrot\"},\n {\"box_2d\": [466, 28, 712, 141], \"label\": \"carrot\"},\n {\"box_2d\": [401, 118, 675, 190], \"label\": \"carrot\"},\n {\"box_2d\": [345, 224, 488, 441], \"label\": \"carrot\"},\n {\"box_2d\": [475, 187, 684, 280], \"label\": \"carrot\"},\n {\"box_2d\": [447, 223, 682, 330], \"label\": \"carrot\"},\n {\"box_2d\": [493, 263, 670, 367], \"label\": \"carrot\"},\n {\"box_2d\": [512, 339, 681, 381], \"label\": \"carrot\"},\n {\"box_2d\": [428, 372, 616, 415], \"label\": \"carrot\"},\n {\"box_2d\": [387, 370, 668, 456], \"label\": \"carrot\"},\n {\"box_2d\": [633, 278, 719, 474], \"label\": \"carrot\"},\n {\"box_2d\": [649, 417, 696, 586], \"label\": \"carrot\"},\n {\"box_2d\": [556, 474, 662, 672], \"label\": \"carrot\"},\n {\"box_2d\": [604, 569, 653, 720], \"label\": \"carrot\"},\n {\"box_2d\": [525, 450, 615, 576], \"label\": \"carrot\"},\n {\"box_2d\": [494, 447, 581, 597], \"label\": \"carrot\"},\n {\"box_2d\": [377, 439, 443, 621], \"label\": \"carrot\"},\n {\"box_2d\": [351, 478, 416, 684], \"label\": \"carrot\"},\n {\"box_2d\": [333, 545, 369, 717], \"label\": \"carrot\"},\n {\"box_2d\": [303, 469, 339, 688], \"label\": \"carrot\"},\n {\"box_2d\": [217, 613, 330, 761], \"label\": \"carrot\"},\n {\"box_2d\": [438, 565, 587, 711], \"label\": \"carrot\"},\n {\"box_2d\": [421, 658, 550, 797], \"label\": \"carrot\"},\n {\"box_2d\": [244, 756, 475, 825], \"label\": \"carrot\"},\n {\"box_2d\": [351, 790, 580, 931], \"label\": \"carrot\"},\n {\"box_2d\": [535, 706, 646, 848], \"label\": \"carrot\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 3067, "elapsed_seconds": 26.092664167052135, "metadata": {"match_method": "map", "num_predictions": 31, "num_ground_truth": 31, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 26.1167}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 14, "image": "DJI_20230529095953_0646_T_JPG_jpg.rf.9806615efd3123cda770b6e1a3358930.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [231, 55, 252, 72], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [220, 144, 243, 163], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [178, 618, 201, 636], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [173, 663, 199, 681], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [583, 367, 605, 385], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [574, 457, 598, 475], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [569, 502, 593, 520], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [556, 638, 580, 655], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [553, 683, 577, 700], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [546, 788, 567, 805], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [973, 353, 995, 371], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [926, 812, 950, 830], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [921, 858, 945, 875], \"label\": \"solar panel hot spot\"}\n]\n```", "correct": true, "input_tokens": 1228, "output_tokens": 1843, "elapsed_seconds": 18.81041258305777, "metadata": {"match_method": "map", "num_predictions": 13, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8613861203193665, "attempts": 1, "retries": 0, "total_seconds": 18.8258}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 15, "image": "floorplan-windows-doors_1036_png.rf.377e8848ebf77a1b3fd4e54e9aaa327d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [765, 148, 790, 291], \"label\": \"window\"},\n {\"box_2d\": [769, 365, 845, 455], \"label\": \"door\"},\n {\"box_2d\": [444, 209, 504, 291], \"label\": \"door\"},\n {\"box_2d\": [161, 102, 184, 244], \"label\": \"window\"},\n {\"box_2d\": [163, 300, 185, 364], \"label\": \"window\"},\n {\"box_2d\": [109, 363, 250, 450], \"label\": \"door\"},\n {\"box_2d\": [167, 573, 187, 620], \"label\": \"window\"},\n {\"box_2d\": [170, 776, 190, 840], \"label\": \"window\"},\n {\"box_2d\": [115, 840, 255, 927], \"label\": \"door\"},\n {\"box_2d\": [332, 585, 384, 645], \"label\": \"door\"},\n {\"box_2d\": [320, 702, 384, 848], \"label\": \"door\"},\n {\"box_2d\": [492, 671, 553, 756], \"label\": \"door\"},\n {\"box_2d\": [550, 673, 616, 759], \"label\": \"door\"},\n {\"box_2d\": [770, 573, 790, 620], \"label\": \"window\"},\n {\"box_2d\": [772, 728, 794, 846], \"label\": \"window\"}\n]\n```", "correct": false, "input_tokens": 1211, "output_tokens": 4102, "elapsed_seconds": 42.030129416962154, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 19, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.781559407711029, "attempts": 1, "retries": 0, "total_seconds": 42.0787}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 16, "image": "IMG_4942_JPG.rf.2d54601c43bd5fdd67c9d6de8428a9ef.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [297, 528, 318, 538], \"label\": \"face\"},\n {\"box_2d\": [298, 555, 318, 566], \"label\": \"face\"},\n {\"box_2d\": [300, 612, 321, 623], \"label\": \"face\"},\n {\"box_2d\": [296, 639, 317, 650], \"label\": \"face\"},\n {\"box_2d\": [333, 660, 355, 672], \"label\": \"face\"},\n {\"box_2d\": [346, 692, 367, 703], \"label\": \"face\"},\n {\"box_2d\": [353, 729, 375, 742], \"label\": \"face\"},\n {\"box_2d\": [360, 754, 384, 766], \"label\": \"face\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 1531, "elapsed_seconds": 18.724983792053536, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 9, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.4922206401824951, "attempts": 1, "retries": 0, "total_seconds": 19.0382}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 17, "image": "4103433_ContLeftUpper_f_jpg.rf.c38c0a22d926bfd30646b27374a1f854.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [481, 25, 513, 48], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [266, 101, 300, 126], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [316, 100, 344, 125], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [381, 102, 411, 126], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [584, 98, 616, 129], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [595, 174, 623, 207], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [384, 180, 412, 204], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [327, 258, 360, 285], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [384, 259, 412, 284], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [270, 338, 298, 362], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [331, 338, 361, 362], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [388, 338, 419, 363], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [392, 417, 420, 444], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [444, 692, 469, 718], \"label\": \"shipping container wall dent\"}\n]\n```", "correct": false, "input_tokens": 1224, "output_tokens": 1820, "elapsed_seconds": 19.117458916036412, "metadata": {"match_method": "map", "num_predictions": 14, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.09786747395992279, "attempts": 1, "retries": 0, "total_seconds": 19.2135}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 18, "image": "a9f16c_8_1_png_jpg.rf.21f65c07fc1fd4b937623a9b2c4bf919.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [393, 21, 441, 40], \"label\": \"goalkeeper\"},\n {\"box_2d\": [274, 326, 307, 336], \"label\": \"player\"},\n {\"box_2d\": [345, 271, 384, 282], \"label\": \"player\"},\n {\"box_2d\": [341, 297, 380, 309], \"label\": \"player\"},\n {\"box_2d\": [413, 232, 460, 245], \"label\": \"player\"},\n {\"box_2d\": [421, 287, 463, 302], \"label\": \"player\"},\n {\"box_2d\": [472, 206, 525, 226], \"label\": \"player\"},\n {\"box_2d\": [539, 207, 588, 227], \"label\": \"player\"},\n {\"box_2d\": [554, 190, 601, 214], \"label\": \"player\"},\n {\"box_2d\": [645, 279, 707, 299], \"label\": \"player\"},\n {\"box_2d\": [822, 280, 888, 300], \"label\": \"player\"},\n {\"box_2d\": [407, 401, 449, 416], \"label\": \"referee\"},\n {\"box_2d\": [441, 403, 490, 420], \"label\": \"player\"},\n {\"box_2d\": [309, 449, 349, 460], \"label\": \"player\"},\n {\"box_2d\": [305, 468, 342, 477], \"label\": \"player\"},\n {\"box_2d\": [373, 535, 412, 545], \"label\": \"player\"},\n {\"box_2d\": [425, 524, 471, 533], \"label\": \"player\"},\n {\"box_2d\": [500, 514, 554, 527], \"label\": \"player\"},\n {\"box_2d\": [592, 562, 653, 585], \"label\": \"player\"},\n {\"box_2d\": [643, 559, 656, 567], \"label\": \"football\"},\n {\"box_2d\": [340, 730, 378, 739], \"label\": \"player\"},\n {\"box_2d\": [342, 978, 385, 992], \"label\": \"goalkeeper\"},\n {\"box_2d\": [855, 956, 938, 979], \"label\": \"referee\"}\n]\n```", "correct": true, "input_tokens": 1242, "output_tokens": 2718, "elapsed_seconds": 26.922510667005554, "metadata": {"match_method": "map", "num_predictions": 23, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8910890817642212, "attempts": 1, "retries": 0, "total_seconds": 26.9984}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 19, "image": "20230220_113558_jpg.rf.d5df52cc566f78f19b292c4a237d076c.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [759, 439, 956, 461], \"label\": \"crack\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 238, "elapsed_seconds": 5.380566708976403, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 5.3943}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 20, "image": "frame_0277_jpg.rf.c6aa8dac950a9954eaaa15c2c1350db2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [9, 129, 67, 170], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [193, 128, 258, 175], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [335, 89, 404, 134], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [134, 246, 193, 289], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [61, 271, 111, 296], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [283, 238, 355, 281], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [445, 227, 524, 269], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [855, 217, 938, 264], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [28, 358, 86, 392], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [256, 368, 323, 406], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [53, 429, 123, 464], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [165, 433, 224, 467], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [332, 454, 405, 491], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [403, 466, 467, 507], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [604, 437, 675, 482], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [867, 494, 916, 538], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [31, 526, 94, 559], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [208, 531, 272, 571], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [309, 545, 366, 578], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [542, 553, 623, 591], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [449, 585, 511, 622], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [94, 627, 148, 659], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [210, 639, 274, 673], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [330, 656, 390, 690], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [455, 674, 515, 711], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [628, 688, 664, 733], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 242, 35, 270], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 269, 38, 299], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 303, 44, 338], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [1, 412, 46, 440], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 448, 49, 478], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [5, 494, 50, 526], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [5, 541, 46, 567], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 564, 52, 591], \"label\": \"garlic on conveyor\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 2548, "elapsed_seconds": 26.994056125055067, "metadata": {"match_method": "map", "num_predictions": 34, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 27.0948}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 21, "image": "construction-safety_ppe_0034_jpg.rf.38e91c4daafe26a0be27d2c1133af960.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [306, 77, 920, 200], \"label\": \"person\"},\n {\"box_2d\": [309, 134, 355, 184], \"label\": \"safety helmet\"},\n {\"box_2d\": [402, 95, 608, 195], \"label\": \"safety vest\"},\n {\"box_2d\": [375, 191, 917, 297], \"label\": \"person\"},\n {\"box_2d\": [373, 224, 419, 272], \"label\": \"safety helmet\"},\n {\"box_2d\": [457, 191, 672, 286], \"label\": \"safety vest\"},\n {\"box_2d\": [388, 291, 915, 385], \"label\": \"person\"},\n {\"box_2d\": [388, 321, 434, 368], \"label\": \"safety helmet\"},\n {\"box_2d\": [477, 291, 675, 383], \"label\": \"safety vest\"},\n {\"box_2d\": [386, 390, 907, 485], \"label\": \"person\"},\n {\"box_2d\": [384, 416, 431, 459], \"label\": \"safety helmet\"},\n {\"box_2d\": [458, 391, 718, 486], \"label\": \"safety vest\"},\n {\"box_2d\": [412, 480, 907, 560], \"label\": \"person\"},\n {\"box_2d\": [409, 500, 463, 545], \"label\": \"safety helmet\"},\n {\"box_2d\": [497, 483, 709, 558], \"label\": \"safety vest\"},\n {\"box_2d\": [373, 540, 901, 646], \"label\": \"person\"},\n {\"box_2d\": [371, 569, 413, 610], \"label\": \"safety helmet\"},\n {\"box_2d\": [449, 547, 692, 647], \"label\": \"safety vest\"},\n {\"box_2d\": [389, 632, 906, 730], \"label\": \"person\"},\n {\"box_2d\": [390, 658, 436, 703], \"label\": \"safety helmet\"},\n {\"box_2d\": [467, 645, 658, 729], \"label\": \"safety vest\"},\n {\"box_2d\": [365, 709, 910, 821], \"label\": \"person\"},\n {\"box_2d\": [366, 734, 410, 780], \"label\": \"safety helmet\"},\n {\"box_2d\": [451, 718, 645, 813], \"label\": \"safety vest\"},\n {\"box_2d\": [340, 804, 912, 923], \"label\": \"person\"},\n {\"box_2d\": [340, 830, 386, 879], \"label\": \"safety helmet\"},\n {\"box_2d\": [417, 823, 625, 911], \"label\": \"safety vest\"}\n]\n```", "correct": true, "input_tokens": 1222, "output_tokens": 1967, "elapsed_seconds": 17.412671333993785, "metadata": {"match_method": "map", "num_predictions": 27, "num_ground_truth": 27, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 17.4508}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 22, "image": "2024-12-05T02-00-55-647Z-1001_jpg.rf.c0a64fec0c1e44672b8338dc3d88f40e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [264, 675, 340, 732], \"label\": \"screw\"},\n {\"box_2d\": [521, 678, 596, 734], \"label\": \"screw\"},\n {\"box_2d\": [430, 538, 502, 592], \"label\": \"cable screw\"},\n {\"box_2d\": [591, 307, 735, 405], \"label\": \"wire hole\"}\n]\n```", "correct": false, "input_tokens": 1206, "output_tokens": 701, "elapsed_seconds": 9.884989208891056, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6666666269302368, "attempts": 1, "retries": 0, "total_seconds": 10.0952}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 23, "image": "uav20221018_ixfZ_3857_391_png.rf.363cfc1a99bee6043b1535d35e5cf8f5.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 245, 42, 286], \"label\": \"banana tree\"},\n {\"box_2d\": [37, 302, 72, 334], \"label\": \"banana tree\"},\n {\"box_2d\": [71, 249, 108, 280], \"label\": \"banana tree\"},\n {\"box_2d\": [21, 502, 57, 535], \"label\": \"banana tree\"},\n {\"box_2d\": [0, 550, 18, 578], \"label\": \"banana tree\"},\n {\"box_2d\": [65, 554, 98, 581], \"label\": \"banana tree\"},\n {\"box_2d\": [128, 554, 163, 589], \"label\": \"banana tree\"},\n {\"box_2d\": [158, 500, 200, 540], \"label\": \"banana tree\"},\n {\"box_2d\": [195, 541, 242, 585], \"label\": \"banana tree\"},\n {\"box_2d\": [228, 493, 272, 532], \"label\": \"banana tree\"},\n {\"box_2d\": [272, 547, 309, 579], \"label\": \"banana tree\"},\n {\"box_2d\": [304, 500, 344, 533], \"label\": \"banana tree\"},\n {\"box_2d\": [338, 549, 376, 591], \"label\": \"banana tree\"},\n {\"box_2d\": [368, 495, 415, 545], \"label\": \"banana tree\"},\n {\"box_2d\": [410, 548, 449, 586], \"label\": \"banana tree\"},\n {\"box_2d\": [440, 502, 479, 533], \"label\": \"banana tree\"},\n {\"box_2d\": [0, 731, 31, 769], \"label\": \"banana tree\"},\n {\"box_2d\": [19, 793, 63, 830], \"label\": \"banana tree\"},\n {\"box_2d\": [60, 727, 102, 769], \"label\": \"banana tree\"},\n {\"box_2d\": [94, 795, 134, 827], \"label\": \"banana tree\"},\n {\"box_2d\": [130, 734, 173, 773], \"label\": \"banana tree\"},\n {\"box_2d\": [161, 790, 202, 826], \"label\": \"banana tree\"},\n {\"box_2d\": [202, 737, 236, 773], \"label\": \"banana tree\"},\n {\"box_2d\": [234, 798, 273, 830], \"label\": \"banana tree\"},\n {\"box_2d\": [269, 737, 306, 770], \"label\": \"banana tree\"},\n {\"box_2d\": [304, 799, 344, 832], \"label\": \"banana tree\"},\n {\"box_2d\": [340, 736, 379, 775], \"label\": \"banana tree\"},\n {\"box_2d\": [372, 793, 415, 831], \"label\": \"banana tree\"},\n {\"box_2d\": [407, 739, 449, 776], \"label\": \"banana tree\"},\n {\"box_2d\": [436, 796, 481, 839], \"label\": \"banana tree\"},\n {\"box_2d\": [476, 740, 519, 779], \"label\": \"banana tree\"},\n {\"box_2d\": [508, 801, 550, 829], \"label\": \"banana tree\"},\n {\"box_2d\": [546, 744, 586, 787], \"label\": \"banana tree\"},\n {\"box_2d\": [579, 795, 625, 839], \"label\": \"banana tree\"},\n {\"box_2d\": [612, 745, 654, 788], \"label\": \"banana tree\"},\n {\"box_2d\": [648, 797, 686, 840], \"label\": \"banana tree\"},\n {\"box_2d\": [678, 738, 726, 790], \"label\": \"banana tree\"},\n {\"box_2d\": [713, 801, 757, 845], \"label\": \"banana tree\"},\n {\"box_2d\": [751, 750, 788, 787], \"label\": \"banana tree\"},\n {\"box_2d\": [758, 794, 806, 837], \"label\": \"banana tree\"},\n {\"box_2d\": [26, 978, 66, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [100, 980, 138, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [170, 981, 208, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [242, 982, 279, 1000], \"label\": \"banana tree\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 2872, "elapsed_seconds": 24.407353374990635, "metadata": {"match_method": "map", "num_predictions": 44, "num_ground_truth": 43, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9993249177932739, "attempts": 1, "retries": 0, "total_seconds": 24.4853}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 24, "image": "fabric-defect_511_jpg.rf.c9746a1a958e01686335a4e0e7bec57c.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [417, 400, 572, 489], \"label\": \"fabric cut\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 521, "elapsed_seconds": 8.768952917074785, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 8.7782}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 25, "image": "z4517190691608_e13e5a7742dfd1e1497d7f34e43b9a19_jpg.rf.53f3adf34b3bcf75125b6512855911b0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [92, 326, 193, 478], \"label\": \"5 poker chip\"},\n {\"box_2d\": [128, 485, 233, 641], \"label\": \"5 poker chip\"},\n {\"box_2d\": [185, 349, 293, 506], \"label\": \"5 poker chip\"},\n {\"box_2d\": [195, 169, 303, 326], \"label\": \"5 poker chip\"},\n {\"box_2d\": [190, 648, 299, 811], \"label\": \"20 poker chip\"},\n {\"box_2d\": [245, 480, 355, 642], \"label\": \"10 poker chip\"},\n {\"box_2d\": [279, 274, 391, 435], \"label\": \"500 poker chip\"},\n {\"box_2d\": [298, 671, 417, 842], \"label\": \"50 poker chip\"},\n {\"box_2d\": [347, 111, 465, 276], \"label\": \"100 poker chip\"},\n {\"box_2d\": [349, 517, 467, 684], \"label\": \"20 poker chip\"},\n {\"box_2d\": [371, 353, 490, 518], \"label\": \"20 poker chip\"},\n {\"box_2d\": [433, 205, 557, 376], \"label\": \"100 poker chip\"},\n {\"box_2d\": [461, 458, 586, 632], \"label\": \"20 poker chip\"},\n {\"box_2d\": [429, 822, 559, 1000], \"label\": \"5000 poker chip\"},\n {\"box_2d\": [494, 635, 626, 818], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [526, 309, 660, 486], \"label\": \"10 poker chip\"},\n {\"box_2d\": [585, 481, 725, 666], \"label\": \"20 poker chip\"},\n {\"box_2d\": [591, 148, 731, 330], \"label\": \"50 poker chip\"},\n {\"box_2d\": [663, 293, 810, 480], \"label\": \"20 poker chip\"},\n {\"box_2d\": [614, 715, 759, 908], \"label\": \"500 poker chip\"},\n {\"box_2d\": [733, 453, 888, 647], \"label\": \"50 poker chip\"},\n {\"box_2d\": [757, 655, 916, 855], \"label\": \"50 poker chip\"}\n]\n```", "correct": true, "input_tokens": 1251, "output_tokens": 2519, "elapsed_seconds": 22.863865292049013, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 23.0674}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 26, "image": "floorplan-windows-doors_10156_png.rf.46b4865a81b54b57dfa53b894c0a0632.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [209, 297, 322, 358], \"label\": \"door\"},\n {\"box_2d\": [387, 810, 432, 853], \"label\": \"door\"},\n {\"box_2d\": [451, 742, 507, 801], \"label\": \"door\"},\n {\"box_2d\": [529, 752, 581, 806], \"label\": \"door\"},\n {\"box_2d\": [624, 742, 681, 800], \"label\": \"door\"},\n {\"box_2d\": [695, 236, 740, 281], \"label\": \"door\"},\n {\"box_2d\": [736, 298, 793, 356], \"label\": \"door\"},\n {\"box_2d\": [821, 297, 885, 356], \"label\": \"door\"},\n {\"box_2d\": [913, 266, 967, 329], \"label\": \"door\"},\n {\"box_2d\": [821, 391, 837, 490], \"label\": \"window\"},\n {\"box_2d\": [820, 649, 837, 748], \"label\": \"window\"},\n {\"box_2d\": [821, 783, 837, 840], \"label\": \"window\"},\n {\"box_2d\": [254, 239, 271, 296], \"label\": \"window\"},\n {\"box_2d\": [255, 369, 272, 471], \"label\": \"window\"},\n {\"box_2d\": [254, 646, 273, 748], \"label\": \"window\"},\n {\"box_2d\": [256, 816, 276, 860], \"label\": \"window\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 1572, "elapsed_seconds": 15.850444791954942, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 17, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9504950642585754, "attempts": 1, "retries": 0, "total_seconds": 15.8994}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 27, "image": "fabric-defect_323_jpg.rf.371f41f855eb62c4f2068f1bac0ca297.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [2, 517, 1000, 643], \"label\": \"fabric cut\"}\n]\n```", "correct": false, "input_tokens": 1226, "output_tokens": 725, "elapsed_seconds": 10.544142875005491, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 10.5518}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 28, "image": "54_png.rf.e797ccd3ab1732fcc95dc8f12eac1e73.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [196, 78, 304, 136], \"label\": \"not gate symbol\"},\n {\"box_2d\": [196, 179, 304, 237], \"label\": \"not gate symbol\"},\n {\"box_2d\": [196, 279, 304, 336], \"label\": \"not gate symbol\"},\n {\"box_2d\": [196, 379, 304, 437], \"label\": \"not gate symbol\"},\n {\"box_2d\": [311, 513, 434, 613], \"label\": \"and gate symbol\"},\n {\"box_2d\": [454, 513, 577, 613], \"label\": \"and gate symbol\"},\n {\"box_2d\": [594, 513, 717, 613], \"label\": \"and gate symbol\"},\n {\"box_2d\": [737, 513, 860, 613], \"label\": \"and gate symbol\"},\n {\"box_2d\": [382, 659, 504, 759], \"label\": \"or gate symbol\"},\n {\"box_2d\": [665, 659, 789, 759], \"label\": \"or gate symbol\"},\n {\"box_2d\": [522, 804, 646, 904], \"label\": \"and gate symbol\"}\n]\n```", "correct": true, "input_tokens": 1212, "output_tokens": 1187, "elapsed_seconds": 10.415102208033204, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 10.4207}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 29, "image": "IMG_3802_JPG.rf.a7e888d2c6d99ef929355eb2fffb322e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [472, 379, 506, 395], \"label\": \"face\"},\n {\"box_2d\": [478, 436, 511, 452], \"label\": \"face\"},\n {\"box_2d\": [438, 524, 466, 538], \"label\": \"face\"},\n {\"box_2d\": [301, 338, 326, 350], \"label\": \"face\"},\n {\"box_2d\": [311, 359, 334, 372], \"label\": \"face\"},\n {\"box_2d\": [231, 414, 250, 424], \"label\": \"face\"},\n {\"box_2d\": [237, 439, 255, 449], \"label\": \"face\"},\n {\"box_2d\": [252, 429, 273, 439], \"label\": \"face\"},\n {\"box_2d\": [251, 498, 271, 507], \"label\": \"face\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 1696, "elapsed_seconds": 19.89221166598145, "metadata": {"match_method": "map", "num_predictions": 9, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7128713130950928, "attempts": 1, "retries": 0, "total_seconds": 20.214}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 30, "image": "DJI_20230529112019_0221_T_JPG_jpg.rf.8e72d3393da7d92494fccfb7bb75bfc8.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [68, 157, 92, 178], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [76, 198, 101, 219], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [84, 239, 107, 259], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [165, 661, 189, 681], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [172, 702, 196, 722], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [180, 743, 202, 762], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [101, 835, 125, 855], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [109, 874, 136, 895], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [207, 864, 230, 884], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [520, 654, 546, 675], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [527, 696, 552, 715], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [534, 736, 560, 757], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [542, 777, 567, 797], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [549, 818, 573, 837], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [847, 494, 869, 513], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [853, 534, 877, 554], \"label\": \"solar panel hot spot\"}\n]\n```", "correct": true, "input_tokens": 1228, "output_tokens": 2152, "elapsed_seconds": 18.725413165986538, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 17, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9405940771102905, "attempts": 1, "retries": 0, "total_seconds": 18.7399}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 31, "image": "Atlantic_2025_NCPT-189_JPG_jpg.rf.7a382ad19f3061fc65305d93b2678aef.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [128, 250, 217, 286], \"label\": \"potato\"},\n {\"box_2d\": [13, 300, 77, 326], \"label\": \"potato\"},\n {\"box_2d\": [118, 296, 183, 323], \"label\": \"potato\"},\n {\"box_2d\": [352, 284, 448, 328], \"label\": \"potato\"},\n {\"box_2d\": [445, 288, 533, 325], \"label\": \"potato\"},\n {\"box_2d\": [548, 284, 650, 329], \"label\": \"potato\"},\n {\"box_2d\": [656, 288, 725, 316], \"label\": \"potato\"},\n {\"box_2d\": [722, 281, 833, 321], \"label\": \"potato\"},\n {\"box_2d\": [833, 288, 899, 315], \"label\": \"potato\"},\n {\"box_2d\": [10, 339, 93, 370], \"label\": \"potato\"},\n {\"box_2d\": [134, 336, 218, 371], \"label\": \"potato\"},\n {\"box_2d\": [216, 341, 280, 366], \"label\": \"potato\"},\n {\"box_2d\": [342, 336, 439, 370], \"label\": \"potato\"},\n {\"box_2d\": [436, 337, 502, 365], \"label\": \"potato\"},\n {\"box_2d\": [501, 328, 608, 372], \"label\": \"potato\"},\n {\"box_2d\": [618, 334, 687, 363], \"label\": \"potato\"},\n {\"box_2d\": [690, 336, 761, 363], \"label\": \"potato\"},\n {\"box_2d\": [777, 331, 865, 369], \"label\": \"potato\"},\n {\"box_2d\": [20, 384, 108, 417], \"label\": \"potato\"},\n {\"box_2d\": [161, 383, 234, 416], \"label\": \"potato\"},\n {\"box_2d\": [231, 383, 290, 409], \"label\": \"potato\"},\n {\"box_2d\": [285, 373, 391, 413], \"label\": \"potato\"},\n {\"box_2d\": [398, 380, 483, 415], \"label\": \"potato\"},\n {\"box_2d\": [478, 375, 569, 410], \"label\": \"potato\"},\n {\"box_2d\": [582, 372, 669, 412], \"label\": \"potato\"},\n {\"box_2d\": [757, 373, 843, 409], \"label\": \"potato\"},\n {\"box_2d\": [8, 426, 86, 460], \"label\": \"potato\"},\n {\"box_2d\": [102, 420, 201, 459], \"label\": \"potato\"},\n {\"box_2d\": [215, 408, 324, 459], \"label\": \"potato\"},\n {\"box_2d\": [318, 426, 384, 454], \"label\": \"potato\"},\n {\"box_2d\": [400, 414, 511, 458], \"label\": \"potato\"},\n {\"box_2d\": [581, 415, 688, 456], \"label\": \"potato\"},\n {\"box_2d\": [749, 419, 829, 448], \"label\": \"potato\"},\n {\"box_2d\": [918, 417, 1000, 454], \"label\": \"potato\"},\n {\"box_2d\": [6, 472, 84, 505], \"label\": \"potato\"},\n {\"box_2d\": [81, 472, 156, 502], \"label\": \"potato\"},\n {\"box_2d\": [153, 466, 268, 508], \"label\": \"potato\"},\n {\"box_2d\": [266, 463, 366, 506], \"label\": \"potato\"},\n {\"box_2d\": [364, 463, 453, 503], \"label\": \"potato\"},\n {\"box_2d\": [458, 466, 545, 497], \"label\": \"potato\"},\n {\"box_2d\": [586, 463, 680, 499], \"label\": \"potato\"},\n {\"box_2d\": [692, 466, 755, 492], \"label\": \"potato\"},\n {\"box_2d\": [844, 461, 926, 494], \"label\": \"potato\"},\n {\"box_2d\": [7, 517, 74, 547], \"label\": \"potato\"},\n {\"box_2d\": [71, 511, 147, 546], \"label\": \"potato\"},\n {\"box_2d\": [144, 513, 245, 547], \"label\": \"potato\"},\n {\"box_2d\": [254, 511, 362, 553], \"label\": \"potato\"},\n {\"box_2d\": [356, 511, 446, 546], \"label\": \"potato\"},\n {\"box_2d\": [470, 500, 576, 545], \"label\": \"potato\"},\n {\"box_2d\": [575, 507, 683, 551], \"label\": \"potato\"},\n {\"box_2d\": [866, 506, 950, 538], \"label\": \"potato\"},\n {\"box_2d\": [196, 551, 291, 592], \"label\": \"potato\"},\n {\"box_2d\": [288, 557, 366, 590], \"label\": \"potato\"},\n {\"box_2d\": [368, 550, 484, 605], \"label\": \"potato\"},\n {\"box_2d\": [481, 552, 569, 587], \"label\": \"potato\"},\n {\"box_2d\": [664, 551, 770, 594], \"label\": \"potato\"},\n {\"box_2d\": [7, 606, 82, 635], \"label\": \"potato\"},\n {\"box_2d\": [116, 598, 219, 640], \"label\": \"potato\"},\n {\"box_2d\": [376, 600, 472, 639], \"label\": \"potato\"},\n {\"box_2d\": [508, 596, 615, 637], \"label\": \"potato\"},\n {\"box_2d\": [737, 591, 837, 627], \"label\": \"potato\"},\n {\"box_2d\": [145, 640, 248, 682], \"label\": \"potato\"},\n {\"box_2d\": [266, 645, 335, 675], \"label\": \"potato\"},\n {\"box_2d\": [479, 635, 600, 677], \"label\": \"potato\"},\n {\"box_2d\": [97, 685, 177, 721], \"label\": \"potato\"},\n {\"box_2d\": [210, 687, 317, 725], \"label\": \"potato\"},\n {\"box_2d\": [315, 680, 430, 726], \"label\": \"potato\"},\n {\"box_2d\": [690, 680, 795, 718], \"label\": \"potato\"},\n {\"box_2d\": [24, 729, 117, 770], \"label\": \"potato\"},\n {\"box_2d\": [122, 734, 184, 761], \"label\": \"potato\"},\n {\"box_2d\": [302, 731, 384, 763], \"label\": \"potato\"},\n {\"box_2d\": [444, 725, 536, 764], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 4734, "elapsed_seconds": 40.52218958304729, "metadata": {"match_method": "map", "num_predictions": 72, "num_ground_truth": 72, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 40.9819}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 32, "image": "V000078_0_0_jpeg_jpg.rf.ea93b54e17810ab845506f60bf69b7dd.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [163, 342, 212, 439], \"label\": \"surface roughness symbol\"},\n {\"box_2d\": [123, 643, 330, 895], \"label\": \"dimension annotation\"},\n {\"box_2d\": [153, 704, 305, 928], \"label\": \"dimension annotation\"},\n {\"box_2d\": [292, 694, 381, 821], \"label\": \"dimension annotation\"},\n {\"box_2d\": [269, 170, 323, 235], \"label\": \"dimension annotation\"},\n {\"box_2d\": [274, 235, 323, 435], \"label\": \"dimension annotation\"},\n {\"box_2d\": [289, 432, 323, 483], \"label\": \"dimension annotation\"},\n {\"box_2d\": [289, 489, 323, 565], \"label\": \"dimension annotation\"},\n {\"box_2d\": [269, 170, 370, 484], \"label\": \"dimension annotation\"},\n {\"box_2d\": [338, 451, 370, 551], \"label\": \"dimension annotation\"},\n {\"box_2d\": [442, 136, 491, 258], \"label\": \"dimension annotation\"},\n {\"box_2d\": [442, 218, 483, 300], \"label\": \"dimension annotation\"},\n {\"box_2d\": [493, 125, 531, 171], \"label\": \"dimension annotation\"},\n {\"box_2d\": [498, 183, 586, 217], \"label\": \"dimension annotation\"},\n {\"box_2d\": [477, 297, 577, 345], \"label\": \"dimension annotation\"},\n {\"box_2d\": [441, 498, 468, 597], \"label\": \"dimension annotation\"},\n {\"box_2d\": [468, 563, 556, 628], \"label\": \"dimension annotation\"},\n {\"box_2d\": [800, 93, 967, 954], \"label\": \"technical drawing table\"}\n]\n```", "correct": false, "input_tokens": 1237, "output_tokens": 2263, "elapsed_seconds": 23.54717045801226, "metadata": {"match_method": "map", "num_predictions": 18, "num_ground_truth": 18, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.666666567325592, "attempts": 1, "retries": 0, "total_seconds": 23.5604}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 33, "image": "1226_8_jpg.rf.ca0a21572938b5c31e601cfcbf119e1e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [20, 21, 118, 120], \"label\": \"black rook\"},\n {\"box_2d\": [0, 140, 96, 245], \"label\": \"black knight\"},\n {\"box_2d\": [33, 265, 134, 355], \"label\": \"black bishop\"},\n {\"box_2d\": [9, 400, 130, 492], \"label\": \"black king\"},\n {\"box_2d\": [8, 529, 128, 623], \"label\": \"black queen\"},\n {\"box_2d\": [19, 896, 117, 999], \"label\": \"black rook\"},\n {\"box_2d\": [138, 43, 214, 121], \"label\": \"black pawn\"},\n {\"box_2d\": [160, 649, 236, 725], \"label\": \"black pawn\"},\n {\"box_2d\": [166, 763, 242, 840], \"label\": \"black pawn\"},\n {\"box_2d\": [175, 912, 250, 997], \"label\": \"black pawn\"},\n {\"box_2d\": [279, 286, 353, 360], \"label\": \"black pawn\"},\n {\"box_2d\": [284, 398, 376, 489], \"label\": \"black bishop\"},\n {\"box_2d\": [425, 535, 496, 610], \"label\": \"black pawn\"},\n {\"box_2d\": [410, 893, 491, 1000], \"label\": \"black knight\"},\n {\"box_2d\": [521, 293, 594, 368], \"label\": \"white pawn\"},\n {\"box_2d\": [551, 757, 624, 837], \"label\": \"white pawn\"},\n {\"box_2d\": [641, 398, 715, 473], \"label\": \"white pawn\"},\n {\"box_2d\": [629, 639, 712, 745], \"label\": \"white knight\"},\n {\"box_2d\": [756, 56, 830, 136], \"label\": \"white pawn\"},\n {\"box_2d\": [766, 169, 841, 245], \"label\": \"white pawn\"},\n {\"box_2d\": [785, 640, 862, 715], \"label\": \"white pawn\"},\n {\"box_2d\": [772, 890, 847, 974], \"label\": \"white pawn\"},\n {\"box_2d\": [867, 39, 968, 136], \"label\": \"white rook\"},\n {\"box_2d\": [864, 133, 956, 242], \"label\": \"white knight\"},\n {\"box_2d\": [870, 280, 974, 375], \"label\": \"white bishop\"},\n {\"box_2d\": [862, 407, 990, 502], \"label\": \"white king\"},\n {\"box_2d\": [865, 530, 988, 624], \"label\": \"white queen\"},\n {\"box_2d\": [868, 652, 972, 746], \"label\": \"white bishop\"},\n {\"box_2d\": [877, 886, 978, 990], \"label\": \"white rook\"}\n]\n```", "correct": true, "input_tokens": 1259, "output_tokens": 2469, "elapsed_seconds": 24.210004416992888, "metadata": {"match_method": "map", "num_predictions": 29, "num_ground_truth": 29, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 24.3981}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 34, "image": "1218_18_jpg.rf.8c844a918f3bbbea9bc4a4e8bb703b7d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [33, 522, 130, 610], \"label\": \"black bishop\"},\n {\"box_2d\": [136, 7, 223, 105], \"label\": \"white rook\"},\n {\"box_2d\": [252, 256, 340, 348], \"label\": \"black knight\"},\n {\"box_2d\": [259, 632, 349, 717], \"label\": \"white knight\"},\n {\"box_2d\": [261, 876, 357, 1000], \"label\": \"white queen\"},\n {\"box_2d\": [380, 5, 463, 118], \"label\": \"black queen\"},\n {\"box_2d\": [514, 0, 597, 119], \"label\": \"white king\"},\n {\"box_2d\": [515, 279, 603, 369], \"label\": \"white bishop\"},\n {\"box_2d\": [518, 524, 605, 611], \"label\": \"black king\"},\n {\"box_2d\": [538, 764, 608, 840], \"label\": \"white pawn\"},\n {\"box_2d\": [627, 389, 708, 478], \"label\": \"black knight\"},\n {\"box_2d\": [637, 521, 718, 603], \"label\": \"white rook\"},\n {\"box_2d\": [639, 882, 719, 991], \"label\": \"white knight\"},\n {\"box_2d\": [746, 141, 849, 244], \"label\": \"white queen\"},\n {\"box_2d\": [772, 642, 844, 715], \"label\": \"black pawn\"},\n {\"box_2d\": [767, 768, 854, 860], \"label\": \"black rook\"},\n {\"box_2d\": [890, 405, 969, 479], \"label\": \"white pawn\"},\n {\"box_2d\": [882, 761, 1000, 872], \"label\": \"black queen\"}\n]\n```", "correct": true, "input_tokens": 1259, "output_tokens": 1638, "elapsed_seconds": 17.58361116598826, "metadata": {"match_method": "map", "num_predictions": 18, "num_ground_truth": 18, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 17.7668}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 35, "image": "42ba34_3_4_png_jpg.rf.963d6715a391a3a2fee3176cace44325.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [375, 0, 417, 12], \"label\": \"goalkeeper\"},\n {\"box_2d\": [678, 151, 738, 170], \"label\": \"player\"},\n {\"box_2d\": [581, 234, 636, 249], \"label\": \"player\"},\n {\"box_2d\": [518, 281, 571, 295], \"label\": \"player\"},\n {\"box_2d\": [493, 265, 546, 277], \"label\": \"player\"},\n {\"box_2d\": [352, 250, 393, 261], \"label\": \"player\"},\n {\"box_2d\": [352, 257, 392, 268], \"label\": \"player\"},\n {\"box_2d\": [302, 282, 336, 292], \"label\": \"player\"},\n {\"box_2d\": [292, 318, 329, 327], \"label\": \"player\"},\n {\"box_2d\": [282, 405, 315, 415], \"label\": \"player\"},\n {\"box_2d\": [403, 350, 447, 360], \"label\": \"referee\"},\n {\"box_2d\": [360, 434, 399, 443], \"label\": \"player\"},\n {\"box_2d\": [335, 463, 372, 474], \"label\": \"player\"},\n {\"box_2d\": [247, 490, 279, 498], \"label\": \"player\"},\n {\"box_2d\": [354, 586, 395, 596], \"label\": \"player\"},\n {\"box_2d\": [487, 563, 536, 576], \"label\": \"player\"},\n {\"box_2d\": [542, 583, 597, 596], \"label\": \"player\"},\n {\"box_2d\": [530, 606, 583, 620], \"label\": \"player\"},\n {\"box_2d\": [469, 675, 519, 689], \"label\": \"player\"},\n {\"box_2d\": [454, 722, 502, 736], \"label\": \"player\"},\n {\"box_2d\": [295, 690, 333, 699], \"label\": \"player\"},\n {\"box_2d\": [424, 801, 471, 813], \"label\": \"player\"},\n {\"box_2d\": [347, 914, 389, 927], \"label\": \"goalkeeper\"},\n {\"box_2d\": [640, 956, 698, 978], \"label\": \"referee\"}\n]\n```", "correct": false, "input_tokens": 1242, "output_tokens": 3449, "elapsed_seconds": 34.742330166045576, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6485148668289185, "attempts": 1, "retries": 0, "total_seconds": 34.8328}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 36, "image": "170567v_JPG_jpg.rf.b4ec6b9d23ca24e31da874cd6f035dfa.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [448, 270, 782, 853], \"label\": \"cracked insulator\"}\n]\n```", "correct": false, "input_tokens": 1244, "output_tokens": 1079, "elapsed_seconds": 17.505470999982208, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 6, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 17.8594}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 37, "image": "wood-log-detection_092_png_jpg.rf.b7bfbb1ba7a477ea02f5974fce28583e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [36, 336, 98, 390], \"label\": \"log cross-section\"},\n {\"box_2d\": [93, 383, 141, 422], \"label\": \"log cross-section\"},\n {\"box_2d\": [98, 320, 142, 356], \"label\": \"log cross-section\"},\n {\"box_2d\": [108, 281, 155, 322], \"label\": \"log cross-section\"},\n {\"box_2d\": [125, 214, 169, 256], \"label\": \"log cross-section\"},\n {\"box_2d\": [103, 466, 146, 498], \"label\": \"log cross-section\"},\n {\"box_2d\": [124, 431, 158, 459], \"label\": \"log cross-section\"},\n {\"box_2d\": [92, 495, 144, 536], \"label\": \"log cross-section\"},\n {\"box_2d\": [73, 530, 146, 586], \"label\": \"log cross-section\"},\n {\"box_2d\": [86, 626, 128, 660], \"label\": \"log cross-section\"},\n {\"box_2d\": [114, 585, 166, 623], \"label\": \"log cross-section\"},\n {\"box_2d\": [116, 646, 169, 688], \"label\": \"log cross-section\"},\n {\"box_2d\": [138, 678, 224, 743], \"label\": \"log cross-section\"},\n {\"box_2d\": [163, 742, 203, 777], \"label\": \"log cross-section\"},\n {\"box_2d\": [163, 779, 210, 813], \"label\": \"log cross-section\"},\n {\"box_2d\": [166, 807, 227, 851], \"label\": \"log cross-section\"},\n {\"box_2d\": [155, 260, 232, 317], \"label\": \"log cross-section\"},\n {\"box_2d\": [136, 319, 174, 349], \"label\": \"log cross-section\"},\n {\"box_2d\": [141, 349, 211, 404], \"label\": \"log cross-section\"},\n {\"box_2d\": [178, 405, 214, 433], \"label\": \"log cross-section\"},\n {\"box_2d\": [151, 434, 212, 476], \"label\": \"log cross-section\"},\n {\"box_2d\": [181, 468, 224, 502], \"label\": \"log cross-section\"},\n {\"box_2d\": [139, 498, 191, 539], \"label\": \"log cross-section\"},\n {\"box_2d\": [186, 494, 233, 534], \"label\": \"log cross-section\"},\n {\"box_2d\": [151, 531, 217, 585], \"label\": \"log cross-section\"},\n {\"box_2d\": [173, 582, 222, 622], \"label\": \"log cross-section\"},\n {\"box_2d\": [138, 618, 174, 646], \"label\": \"log cross-section\"},\n {\"box_2d\": [163, 629, 229, 682], \"label\": \"log cross-section\"},\n {\"box_2d\": [200, 738, 260, 787], \"label\": \"log cross-section\"},\n {\"box_2d\": [221, 825, 271, 864], \"label\": \"log cross-section\"},\n {\"box_2d\": [233, 258, 300, 311], \"label\": \"log cross-section\"},\n {\"box_2d\": [214, 307, 274, 362], \"label\": \"log cross-section\"},\n {\"box_2d\": [226, 361, 285, 409], \"label\": \"log cross-section\"},\n {\"box_2d\": [202, 353, 233, 386], \"label\": \"log cross-section\"},\n {\"box_2d\": [214, 400, 252, 429], \"label\": \"log cross-section\"},\n {\"box_2d\": [226, 421, 279, 456], \"label\": \"log cross-section\"},\n {\"box_2d\": [231, 450, 285, 491], \"label\": \"log cross-section\"},\n {\"box_2d\": [231, 488, 273, 522], \"label\": \"log cross-section\"},\n {\"box_2d\": [209, 518, 255, 553], \"label\": \"log cross-section\"},\n {\"box_2d\": [255, 521, 302, 555], \"label\": \"log cross-section\"},\n {\"box_2d\": [212, 556, 275, 608], \"label\": \"log cross-section\"},\n {\"box_2d\": [221, 603, 281, 646], \"label\": \"log cross-section\"},\n {\"box_2d\": [245, 639, 313, 695], \"label\": \"log cross-section\"},\n {\"box_2d\": [237, 684, 278, 728], \"label\": \"log cross-section\"},\n {\"box_2d\": [257, 767, 306, 818], \"label\": \"log cross-section\"},\n {\"box_2d\": [300, 263, 348, 306], \"label\": \"log cross-section\"},\n {\"box_2d\": [273, 313, 345, 378], \"label\": \"log cross-section\"},\n {\"box_2d\": [276, 396, 323, 432], \"label\": \"log cross-section\"},\n {\"box_2d\": [273, 430, 336, 472], \"label\": \"log cross-section\"},\n {\"box_2d\": [271, 488, 322, 529], \"label\": \"log cross-section\"},\n {\"box_2d\": [269, 567, 336, 626], \"label\": \"log cross-section\"},\n {\"box_2d\": [308, 616, 360, 658], \"label\": \"log cross-section\"},\n {\"box_2d\": [311, 654, 348, 684], \"label\": \"log cross-section\"},\n {\"box_2d\": [307, 680, 379, 733], \"label\": \"log cross-section\"},\n {\"box_2d\": [322, 731, 378, 774], \"label\": \"log cross-section\"},\n {\"box_2d\": [297, 775, 357, 838], \"label\": \"log cross-section\"},\n {\"box_2d\": [347, 265, 396, 306], \"label\": \"log cross-section\"},\n {\"box_2d\": [342, 302, 389, 345], \"label\": \"log cross-section\"},\n {\"box_2d\": [331, 386, 385, 425], \"label\": \"log cross-section\"},\n {\"box_2d\": [334, 422, 375, 454], \"label\": \"log cross-section\"},\n {\"box_2d\": [320, 460, 390, 513], \"label\": \"log cross-section\"},\n {\"box_2d\": [318, 509, 365, 546], \"label\": \"log cross-section\"},\n {\"box_2d\": [308, 541, 355, 577], \"label\": \"log cross-section\"},\n {\"box_2d\": [354, 548, 399, 581], \"label\": \"log cross-section\"},\n {\"box_2d\": [346, 573, 391, 605], \"label\": \"log cross-section\"},\n {\"box_2d\": [377, 600, 421, 645], \"label\": \"log cross-section\"},\n {\"box_2d\": [388, 637, 444, 686], \"label\": \"log cross-section\"},\n {\"box_2d\": [378, 680, 426, 723], \"label\": \"log cross-section\"},\n {\"box_2d\": [368, 716, 419, 756], \"label\": \"log cross-section\"},\n {\"box_2d\": [359, 758, 429, 822], \"label\": \"log cross-section\"},\n {\"box_2d\": [393, 308, 442, 352], \"label\": \"log cross-section\"},\n {\"box_2d\": [365, 350, 415, 391], \"label\": \"log cross-section\"},\n {\"box_2d\": [412, 350, 452, 381], \"label\": \"log cross-section\"},\n {\"box_2d\": [393, 379, 449, 422], \"label\": \"log cross-section\"},\n {\"box_2d\": [377, 429, 434, 476], \"label\": \"log cross-section\"},\n {\"box_2d\": [391, 475, 440, 514], \"label\": \"log cross-section\"},\n {\"box_2d\": [388, 521, 438, 560], \"label\": \"log cross-section\"},\n {\"box_2d\": [391, 557, 449, 605], \"label\": \"log cross-section\"},\n {\"box_2d\": [415, 603, 458, 639], \"label\": \"log cross-section\"},\n {\"box_2d\": [437, 631, 477, 667], \"label\": \"log cross-section\"},\n {\"box_2d\": [418, 687, 471, 736], \"label\": \"log cross-section\"},\n {\"box_2d\": [405, 738, 451, 777], \"label\": \"log cross-section\"},\n {\"box_2d\": [442, 725, 482, 759], \"label\": \"log cross-section\"},\n {\"box_2d\": [432, 770, 478, 813], \"label\": \"log cross-section\"},\n {\"box_2d\": [426, 272, 492, 325], \"label\": \"log cross-section\"},\n {\"box_2d\": [445, 326, 498, 371], \"label\": \"log cross-section\"},\n {\"box_2d\": [445, 368, 492, 408], \"label\": \"log cross-section\"},\n {\"box_2d\": [426, 407, 473, 446], \"label\": \"log cross-section\"},\n {\"box_2d\": [472, 404, 523, 443], \"label\": \"log cross-section\"},\n {\"box_2d\": [425, 445, 484, 492], \"label\": \"log cross-section\"},\n {\"box_2d\": [425, 493, 482, 540], \"label\": \"log cross-section\"},\n {\"box_2d\": [444, 543, 487, 578], \"label\": \"log cross-section\"},\n {\"box_2d\": [449, 576, 493, 609], \"label\": \"log cross-section\"},\n {\"box_2d\": [465, 606, 507, 642], \"label\": \"log cross-section\"},\n {\"box_2d\": [483, 666, 535, 709], \"label\": \"log cross-section\"},\n {\"box_2d\": [466, 742, 536, 801], \"label\": \"log cross-section\"},\n {\"box_2d\": [493, 267, 566, 324], \"label\": \"log cross-section\"},\n {\"box_2d\": [507, 322, 546, 355], \"label\": \"log cross-section\"},\n {\"box_2d\": [505, 370, 567, 421], \"label\": \"log cross-section\"},\n {\"box_2d\": [536, 333, 593, 382], \"label\": \"log cross-section\"},\n {\"box_2d\": [528, 417, 588, 460], \"label\": \"log cross-section\"},\n {\"box_2d\": [483, 448, 548, 503], \"label\": \"log cross-section\"},\n {\"box_2d\": [511, 500, 560, 538], \"label\": \"log cross-section\"},\n {\"box_2d\": [510, 536, 582, 588], \"label\": \"log cross-section\"},\n {\"box_2d\": [490, 577, 543, 623], \"label\": \"log cross-section\"},\n {\"box_2d\": [504, 627, 564, 676], \"label\": \"log cross-section\"},\n {\"box_2d\": [508, 706, 571, 766], \"label\": \"log cross-section\"},\n {\"box_2d\": [532, 763, 578, 817], \"label\": \"log cross-section\"},\n {\"box_2d\": [552, 261, 597, 300], \"label\": \"log cross-section\"},\n {\"box_2d\": [589, 271, 654, 324], \"label\": \"log cross-section\"},\n {\"box_2d\": [586, 320, 644, 369], \"label\": \"log cross-section\"},\n {\"box_2d\": [577, 367, 646, 424], \"label\": \"log cross-section\"},\n {\"box_2d\": [548, 449, 626, 508], \"label\": \"log cross-section\"},\n {\"box_2d\": [563, 506, 622, 554], \"label\": \"log cross-section\"},\n {\"box_2d\": [604, 532, 658, 576], \"label\": \"log cross-section\"},\n {\"box_2d\": [545, 598, 597, 646], \"label\": \"log cross-section\"},\n {\"box_2d\": [568, 566, 640, 623], \"label\": \"log cross-section\"},\n {\"box_2d\": [561, 642, 613, 697], \"label\": \"log cross-section\"},\n {\"box_2d\": [547, 672, 613, 738], \"label\": \"log cross-section\"},\n {\"box_2d\": [580, 731, 641, 783], \"label\": \"log cross-section\"},\n {\"box_2d\": [576, 774, 636, 834], \"label\": \"log cross-section\"},\n {\"box_2d\": [651, 270, 687, 303], \"label\": \"log cross-section\"},\n {\"box_2d\": [642, 308, 706, 360], \"label\": \"log cross-section\"},\n {\"box_2d\": [641, 362, 699, 409], \"label\": \"log cross-section\"},\n {\"box_2d\": [633, 404, 677, 442], \"label\": \"log cross-section\"},\n {\"box_2d\": [611, 429, 653, 463], \"label\": \"log cross-section\"},\n {\"box_2d\": [612, 480, 649, 513], \"label\": \"log cross-section\"},\n {\"box_2d\": [646, 445, 698, 485], \"label\": \"log cross-section\"},\n {\"box_2d\": [646, 512, 703, 558], \"label\": \"log cross-section\"},\n {\"box_2d\": [641, 559, 694, 597], \"label\": \"log cross-section\"},\n {\"box_2d\": [607, 615, 668, 667], \"label\": \"log cross-section\"},\n {\"box_2d\": [604, 678, 653, 725], \"label\": \"log cross-section\"},\n {\"box_2d\": [647, 693, 695, 742], \"label\": \"log cross-section\"},\n {\"box_2d\": [631, 742, 706, 807], \"label\": \"log cross-section\"},\n {\"box_2d\": [683, 265, 750, 315], \"label\": \"log cross-section\"},\n {\"box_2d\": [712, 311, 779, 364], \"label\": \"log cross-section\"},\n {\"box_2d\": [696, 363, 758, 409], \"label\": \"log cross-section\"},\n {\"box_2d\": [673, 396, 729, 436], \"label\": \"log cross-section\"},\n {\"box_2d\": [693, 424, 747, 465], \"label\": \"log cross-section\"},\n {\"box_2d\": [681, 462, 767, 531], \"label\": \"log cross-section\"},\n {\"box_2d\": [694, 533, 765, 590], \"label\": \"log cross-section\"},\n {\"box_2d\": [675, 582, 729, 627], \"label\": \"log cross-section\"},\n {\"box_2d\": [662, 616, 710, 662], \"label\": \"log cross-section\"},\n {\"box_2d\": [680, 655, 727, 696], \"label\": \"log cross-section\"},\n {\"box_2d\": [706, 625, 757, 668], \"label\": \"log cross-section\"},\n {\"box_2d\": [714, 669, 764, 711], \"label\": \"log cross-section\"},\n {\"box_2d\": [688, 726, 739, 770], \"label\": \"log cross-section\"},\n {\"box_2d\": [711, 768, 755, 804], \"label\": \"log cross-section\"},\n {\"box_2d\": [769, 262, 839, 320], \"label\": \"log cross-section\"},\n {\"box_2d\": [774, 319, 822, 358], \"label\": \"log cross-section\"},\n {\"box_2d\": [755, 355, 791, 385], \"label\": \"log cross-section\"},\n {\"box_2d\": [786, 356, 844, 402], \"label\": \"log cross-section\"},\n {\"box_2d\": [741, 389, 804, 439], \"label\": \"log cross-section\"},\n {\"box_2d\": [777, 430, 841, 477], \"label\": \"log cross-section\"},\n {\"box_2d\": [762, 473, 830, 528], \"label\": \"log cross-section\"},\n {\"box_2d\": [763, 524, 813, 563], \"label\": \"log cross-section\"},\n {\"box_2d\": [730, 577, 826, 648], \"label\": \"log cross-section\"},\n {\"box_2d\": [753, 646, 811, 690], \"label\": \"log cross-section\"},\n {\"box_2d\": [750, 689, 805, 729], \"label\": \"log cross-section\"},\n {\"box_2d\": [739, 726, 816, 791], \"label\": \"log cross-section\"},\n {\"box_2d\": [774, 787, 817, 816], \"label\": \"log cross-section\"},\n {\"box_2d\": [844, 263, 895, 300], \"label\": \"log cross-section\"},\n {\"box_2d\": [830, 297, 909, 360], \"label\": \"log cross-section\"},\n {\"box_2d\": [848, 361, 907, 404], \"label\": \"log cross-section\"},\n {\"box_2d\": [837, 400, 899, 444], \"label\": \"log cross-section\"},\n {\"box_2d\": [800, 398, 846, 434], \"label\": \"log cross-section\"},\n {\"box_2d\": [869, 432, 908, 457], \"label\": \"log cross-section\"},\n {\"box_2d\": [830, 464, 913, 529], \"label\": \"log cross-section\"},\n {\"box_2d\": [809, 520, 856, 558], \"label\": \"log cross-section\"},\n {\"box_2d\": [828, 548, 869, 575], \"label\": \"log cross-section\"},\n {\"box_2d\": [851, 554, 913, 604], \"label\": \"log cross-section\"},\n {\"box_2d\": [833, 598, 891, 642], \"label\": \"log cross-section\"},\n {\"box_2d\": [805, 627, 871, 672], \"label\": \"log cross-section\"},\n {\"box_2d\": [800, 663, 868, 714], \"label\": \"log cross-section\"},\n {\"box_2d\": [877, 628, 916, 658], \"label\": \"log cross-section\"},\n {\"box_2d\": [822, 756, 885, 819], \"label\": \"log cross-section\"},\n {\"box_2d\": [866, 740, 916, 780], \"label\": \"log cross-section\"}\n]\n```", "correct": false, "input_tokens": 1228, "output_tokens": 10882, "elapsed_seconds": 88.83677712501958, "metadata": {"match_method": "map", "num_predictions": 177, "num_ground_truth": 206, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.4293768107891083, "attempts": 1, "retries": 0, "total_seconds": 88.8587}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 38, "image": "DJI_20230529111632_0087_T_JPG_jpg.rf.a0bcf6f9fb3a8158bd511491a1f333d9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [262, 884, 277, 897], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [265, 844, 277, 855], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [525, 757, 537, 769], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [535, 594, 548, 606], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [630, 680, 643, 692], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [645, 475, 657, 487], \"label\": \"solar panel hot spot\"}\n]\n```", "correct": false, "input_tokens": 1228, "output_tokens": 943, "elapsed_seconds": 9.32754229195416, "metadata": {"match_method": "map", "num_predictions": 6, "num_ground_truth": 9, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.28217819333076477, "attempts": 1, "retries": 0, "total_seconds": 9.3448}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 39, "image": "IMG_20260128_081648_jpg.rf.195a895d6fe7552e4b9d0fc4e44e0f46.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [623, 75, 723, 153], \"label\": \"white standard price tag\"},\n {\"box_2d\": [625, 149, 724, 237], \"label\": \"white standard price tag\"},\n {\"box_2d\": [626, 236, 725, 291], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [626, 290, 725, 371], \"label\": \"white standard price tag\"},\n {\"box_2d\": [628, 369, 725, 421], \"label\": \"white standard price tag\"},\n {\"box_2d\": [627, 420, 726, 493], \"label\": \"white standard price tag\"},\n {\"box_2d\": [627, 492, 726, 569], \"label\": \"white standard price tag\"},\n {\"box_2d\": [627, 568, 727, 641], \"label\": \"white standard price tag\"},\n {\"box_2d\": [618, 637, 951, 734], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [618, 715, 951, 804], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [632, 853, 727, 932], \"label\": \"white standard price tag\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 1690, "elapsed_seconds": 22.21768483298365, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 22.5367}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 40, "image": "m4_tire_2024-10-17_18_png_jpg.rf.b3da826931757f1612878ecf9680a260.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [89, 297, 179, 518], \"label\": \"tire size text\"},\n {\"box_2d\": [667, 191, 776, 268], \"label\": \"tire size text\"},\n {\"box_2d\": [877, 535, 956, 718], \"label\": \"tire size text\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 1464, "elapsed_seconds": 19.104111708002165, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 19.3601}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 41, "image": "IMG_3864_JPG.rf.85dd012a4824e9d1050c085dd0a2e519.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [350, 224, 421, 336], \"label\": \"100 poker chip\"},\n {\"box_2d\": [361, 397, 431, 509], \"label\": \"500 poker chip\"},\n {\"box_2d\": [467, 97, 545, 218], \"label\": \"500 poker chip\"},\n {\"box_2d\": [429, 286, 507, 405], \"label\": \"500 poker chip\"},\n {\"box_2d\": [428, 402, 506, 519], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [440, 513, 519, 633], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [405, 611, 481, 731], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [446, 706, 527, 833], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [425, 819, 505, 945], \"label\": \"100 poker chip\"},\n {\"box_2d\": [560, 41, 650, 169], \"label\": \"10000 poker chip\"},\n {\"box_2d\": [522, 217, 608, 344], \"label\": \"500 poker chip\"},\n {\"box_2d\": [518, 398, 605, 526], \"label\": \"500 poker chip\"},\n {\"box_2d\": [529, 526, 619, 656], \"label\": \"500 poker chip\"},\n {\"box_2d\": [515, 650, 604, 780], \"label\": \"500 poker chip\"},\n {\"box_2d\": [513, 779, 603, 913], \"label\": \"100 poker chip\"},\n {\"box_2d\": [607, 130, 704, 265], \"label\": \"500 poker chip\"},\n {\"box_2d\": [574, 297, 669, 431], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [601, 421, 699, 558], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [592, 706, 694, 847], \"label\": \"100 poker chip\"},\n {\"box_2d\": [661, 240, 766, 384], \"label\": \"500 poker chip\"},\n {\"box_2d\": [675, 495, 785, 640], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [674, 636, 784, 782], \"label\": \"500 poker chip\"},\n {\"box_2d\": [685, 797, 796, 949], \"label\": \"1000 poker chip\"}\n]\n```", "correct": true, "input_tokens": 1229, "output_tokens": 2571, "elapsed_seconds": 27.7413925830042, "metadata": {"match_method": "map", "num_predictions": 23, "num_ground_truth": 24, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9702969789505005, "attempts": 1, "retries": 0, "total_seconds": 28.2895}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 42, "image": "1217_2_jpg.rf.e0a2a15bcd44d66668e689fd59ca61fe.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [24, 139, 128, 236], \"label\": \"white bishop\"},\n {\"box_2d\": [0, 399, 125, 490], \"label\": \"white queen\"},\n {\"box_2d\": [2, 509, 129, 600], \"label\": \"white king\"},\n {\"box_2d\": [0, 909, 85, 990], \"label\": \"black pawn\"},\n {\"box_2d\": [169, 17, 243, 97], \"label\": \"black pawn\"},\n {\"box_2d\": [150, 647, 226, 722], \"label\": \"white pawn\"},\n {\"box_2d\": [181, 766, 255, 840], \"label\": \"white pawn\"},\n {\"box_2d\": [285, 152, 358, 230], \"label\": \"white pawn\"},\n {\"box_2d\": [288, 386, 360, 458], \"label\": \"black pawn\"},\n {\"box_2d\": [273, 624, 363, 716], \"label\": \"white bishop\"},\n {\"box_2d\": [310, 868, 382, 949], \"label\": \"black pawn\"},\n {\"box_2d\": [411, 25, 483, 108], \"label\": \"white pawn\"},\n {\"box_2d\": [404, 297, 477, 372], \"label\": \"white pawn\"},\n {\"box_2d\": [386, 507, 474, 597], \"label\": \"black bishop\"},\n {\"box_2d\": [395, 640, 477, 732], \"label\": \"white knight\"},\n {\"box_2d\": [424, 769, 503, 871], \"label\": \"black knight\"},\n {\"box_2d\": [432, 902, 503, 982], \"label\": \"white pawn\"},\n {\"box_2d\": [546, 0, 626, 114], \"label\": \"black knight\"},\n {\"box_2d\": [514, 123, 599, 232], \"label\": \"black queen\"},\n {\"box_2d\": [527, 276, 598, 348], \"label\": \"black pawn\"},\n {\"box_2d\": [517, 398, 597, 480], \"label\": \"white rook\"},\n {\"box_2d\": [560, 608, 631, 681], \"label\": \"white pawn\"},\n {\"box_2d\": [649, 631, 740, 722], \"label\": \"white queen\"},\n {\"box_2d\": [649, 877, 720, 956], \"label\": \"white pawn\"},\n {\"box_2d\": [760, 17, 845, 117], \"label\": \"white rook\"},\n {\"box_2d\": [764, 161, 856, 253], \"label\": \"black bishop\"},\n {\"box_2d\": [782, 398, 855, 469], \"label\": \"black pawn\"},\n {\"box_2d\": [746, 747, 855, 854], \"label\": \"black king\"},\n {\"box_2d\": [899, 0, 995, 113], \"label\": \"white knight\"},\n {\"box_2d\": [881, 400, 974, 482], \"label\": \"black rook\"},\n {\"box_2d\": [900, 641, 994, 723], \"label\": \"black rook\"},\n {\"box_2d\": [886, 882, 1000, 999], \"label\": \"black queen\"}\n]\n```", "correct": true, "input_tokens": 1259, "output_tokens": 2932, "elapsed_seconds": 28.5656761249993, "metadata": {"match_method": "map", "num_predictions": 32, "num_ground_truth": 32, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 28.7508}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 43, "image": "fabric-defect_904_jpg.rf.1cf391ad7827c3f000e3c8ea35472e5d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [402, 458, 514, 528], \"label\": \"fabric cut\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 246, "elapsed_seconds": 4.572654708055779, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 4.5916}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 44, "image": "20210325_204058_jpg.rf.29e7808c087a71e473dd9c19badaff2c.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [257, 63, 444, 249], \"label\": \"5 euro cent coin\"},\n {\"box_2d\": [150, 431, 366, 646], \"label\": \"50 euro cent coin\"},\n {\"box_2d\": [347, 267, 577, 498], \"label\": \"2 euro coin\"},\n {\"box_2d\": [366, 645, 535, 818], \"label\": \"2 euro cent coin\"},\n {\"box_2d\": [500, 511, 646, 658], \"label\": \"1 euro cent coin\"},\n {\"box_2d\": [563, 691, 744, 875], \"label\": \"10 euro cent coin\"},\n {\"box_2d\": [605, 150, 807, 353], \"label\": \"20 euro cent coin\"},\n {\"box_2d\": [700, 440, 914, 650], \"label\": \"1 euro coin\"}\n]\n```", "correct": true, "input_tokens": 1272, "output_tokens": 1121, "elapsed_seconds": 10.717297666007653, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 10.7329}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 45, "image": "9999942_00000_d_0000135_jpg.rf.52553444f2adb8d7ba245527bc1de4b5.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [812, 136, 926, 186], \"label\": \"car\"},\n {\"box_2d\": [693, 103, 791, 158], \"label\": \"car\"},\n {\"box_2d\": [571, 373, 634, 449], \"label\": \"car\"},\n {\"box_2d\": [608, 520, 650, 590], \"label\": \"car\"},\n {\"box_2d\": [549, 535, 591, 603], \"label\": \"van\"},\n {\"box_2d\": [606, 667, 646, 721], \"label\": \"car\"},\n {\"box_2d\": [525, 10, 571, 76], \"label\": \"van\"},\n {\"box_2d\": [386, 150, 434, 184], \"label\": \"car\"},\n {\"box_2d\": [318, 175, 380, 206], \"label\": \"car\"},\n {\"box_2d\": [237, 134, 292, 181], \"label\": \"car\"},\n {\"box_2d\": [157, 168, 192, 209], \"label\": \"car\"},\n {\"box_2d\": [126, 169, 164, 229], \"label\": \"car\"},\n {\"box_2d\": [95, 173, 129, 231], \"label\": \"car\"},\n {\"box_2d\": [44, 239, 102, 267], \"label\": \"car\"},\n {\"box_2d\": [0, 192, 34, 256], \"label\": \"van\"},\n {\"box_2d\": [26, 295, 92, 323], \"label\": \"car\"},\n {\"box_2d\": [0, 307, 24, 333], \"label\": \"car\"},\n {\"box_2d\": [92, 281, 171, 315], \"label\": \"van\"},\n {\"box_2d\": [188, 269, 259, 302], \"label\": \"car\"},\n {\"box_2d\": [0, 380, 41, 403], \"label\": \"van\"},\n {\"box_2d\": [20, 405, 76, 432], \"label\": \"car\"},\n {\"box_2d\": [134, 393, 198, 421], \"label\": \"car\"},\n {\"box_2d\": [236, 374, 336, 415], \"label\": \"truck\"}\n]\n```", "correct": false, "input_tokens": 1215, "output_tokens": 2126, "elapsed_seconds": 18.45552920899354, "metadata": {"match_method": "map", "num_predictions": 23, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.2585614323616028, "attempts": 1, "retries": 0, "total_seconds": 18.5388}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 46, "image": "tire_2024-09-25_27_png_jpg.rf.86e579b04ca3a3e9f7a480c31239539e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [78, 272, 165, 470], \"label\": \"tire size text\"},\n {\"box_2d\": [332, 807, 395, 844], \"label\": \"tire size text\"},\n {\"box_2d\": [894, 471, 954, 679], \"label\": \"tire size text\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 612, "elapsed_seconds": 11.105961874942295, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 11.4386}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 47, "image": "Container-144_jpg.rf.4f556fc57071dc9d870c03989b923d26.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [250, 555, 277, 736], \"label\": \"shipping container number\"},\n {\"box_2d\": [284, 556, 308, 608], \"label\": \"container ISO type code\"}\n]\n```", "correct": true, "input_tokens": 1232, "output_tokens": 386, "elapsed_seconds": 4.8608552910154685, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 4.8754}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 48, "image": "frame_0151_jpg.rf.6c7fef6c392aec746239d36e4257e862.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [130, 127, 197, 172], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [300, 115, 368, 165], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [426, 84, 502, 139], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [615, 86, 704, 133], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [788, 67, 874, 131], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [140, 237, 207, 280], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [292, 247, 357, 286], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [468, 206, 530, 245], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [500, 254, 573, 297], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [720, 236, 798, 282], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [894, 238, 962, 288], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [110, 334, 170, 370], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [215, 339, 283, 376], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [339, 333, 409, 372], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [579, 365, 646, 406], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [641, 369, 712, 412], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [115, 426, 174, 460], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [197, 442, 259, 475], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [275, 444, 347, 483], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [491, 466, 557, 501], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [166, 531, 226, 567], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [264, 538, 321, 575], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [418, 569, 485, 606], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [780, 581, 850, 621], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [348, 647, 407, 682], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [472, 673, 536, 709], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [21, 549, 77, 583], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [1, 347, 48, 381], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [4, 413, 51, 446], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 517, 50, 547], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 250, 44, 284], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 610, 53, 637], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [4, 380, 44, 410], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [15, 443, 53, 470], \"label\": \"garlic on conveyor\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 3264, "elapsed_seconds": 28.796642916975543, "metadata": {"match_method": "map", "num_predictions": 34, "num_ground_truth": 27, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 28.8947}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 49, "image": "4106884_ContLeftUpper_f_jpg.rf.92488d92926163302f246be3b53efb13.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [228, 23, 250, 45], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [223, 100, 251, 123], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [226, 179, 253, 203], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [230, 258, 255, 281], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [233, 337, 257, 360], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [237, 417, 258, 439], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [239, 495, 259, 517], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [241, 574, 259, 595], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [334, 613, 358, 636], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [410, 221, 435, 243], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [414, 299, 440, 323], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [420, 380, 445, 401], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [424, 459, 447, 480], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [428, 538, 450, 558], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [521, 66, 547, 88], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [522, 144, 549, 166], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [526, 223, 548, 244], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [526, 300, 551, 323], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [528, 381, 550, 402], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [532, 460, 551, 481], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [532, 616, 550, 636], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [648, 304, 669, 326], \"label\": \"shipping container wall dent\"}\n]\n```", "correct": false, "input_tokens": 1219, "output_tokens": 2879, "elapsed_seconds": 25.640418000053614, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 25.7536}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 50, "image": "img_459031286691397716_png.rf.6de9abc735878b2b2cc1f1fa95486a5f.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [38, 162, 164, 304], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [128, 146, 253, 291], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [221, 126, 353, 280], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [323, 102, 462, 265], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [437, 79, 576, 255], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [559, 47, 698, 236], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [696, 17, 840, 219], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [841, 0, 1000, 195], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [8, 297, 130, 431], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [96, 286, 218, 427], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [186, 274, 314, 421], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [283, 256, 415, 413], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [391, 244, 526, 407], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [511, 224, 649, 396], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [646, 206, 788, 389], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [788, 180, 944, 376], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [47, 421, 166, 557], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [134, 414, 258, 557], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [228, 408, 355, 556], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [332, 396, 463, 550], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [443, 392, 577, 553], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [566, 374, 704, 545], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [703, 369, 846, 550], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [846, 355, 1000, 547], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [12, 543, 134, 681], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [98, 543, 221, 684], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [189, 542, 313, 687], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [287, 537, 419, 691], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [397, 537, 530, 698], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [516, 533, 651, 701], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [647, 533, 789, 712], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [790, 531, 945, 720], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [49, 668, 175, 807], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [136, 672, 265, 818], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [232, 677, 362, 829], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [333, 679, 467, 842], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [447, 683, 581, 858], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [572, 687, 710, 868], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [709, 696, 851, 888], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [851, 706, 1000, 913], \"label\": \"empty portable gas cylinder\"}\n]\n```", "correct": true, "input_tokens": 1203, "output_tokens": 2639, "elapsed_seconds": 23.34753320796881, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 40, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 23.4369}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 51, "image": "1668147211__jpg.rf.0ee3d637cd990a070a8c1bcc234c9d5a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [655, 29, 700, 56], \"label\": \"six die\"},\n {\"box_2d\": [892, 113, 941, 142], \"label\": \"one die\"},\n {\"box_2d\": [622, 177, 673, 207], \"label\": \"six die\"},\n {\"box_2d\": [637, 208, 695, 242], \"label\": \"four die\"},\n {\"box_2d\": [757, 222, 817, 256], \"label\": \"five die\"},\n {\"box_2d\": [432, 199, 487, 230], \"label\": \"five die\"},\n {\"box_2d\": [373, 193, 419, 220], \"label\": \"three die\"},\n {\"box_2d\": [254, 194, 315, 228], \"label\": \"five die\"},\n {\"box_2d\": [210, 218, 268, 252], \"label\": \"two die\"},\n {\"box_2d\": [251, 239, 302, 268], \"label\": \"three die\"},\n {\"box_2d\": [153, 255, 211, 287], \"label\": \"five die\"},\n {\"box_2d\": [106, 243, 162, 274], \"label\": \"three die\"},\n {\"box_2d\": [219, 296, 272, 326], \"label\": \"two die\"},\n {\"box_2d\": [227, 341, 285, 372], \"label\": \"five die\"},\n {\"box_2d\": [190, 365, 249, 399], \"label\": \"three die\"},\n {\"box_2d\": [245, 371, 304, 404], \"label\": \"one die\"},\n {\"box_2d\": [272, 400, 322, 427], \"label\": \"one die\"},\n {\"box_2d\": [329, 369, 383, 399], \"label\": \"six die\"},\n {\"box_2d\": [392, 418, 439, 444], \"label\": \"five die\"},\n {\"box_2d\": [354, 447, 413, 480], \"label\": \"two die\"},\n {\"box_2d\": [178, 455, 232, 484], \"label\": \"one die\"},\n {\"box_2d\": [243, 458, 303, 492], \"label\": \"four die\"},\n {\"box_2d\": [236, 491, 294, 521], \"label\": \"three die\"},\n {\"box_2d\": [351, 555, 411, 589], \"label\": \"six die\"},\n {\"box_2d\": [529, 304, 582, 334], \"label\": \"one die\"},\n {\"box_2d\": [619, 308, 672, 338], \"label\": \"one die\"},\n {\"box_2d\": [602, 379, 658, 410], \"label\": \"three die\"},\n {\"box_2d\": [579, 416, 630, 445], \"label\": \"four die\"},\n {\"box_2d\": [651, 398, 703, 427], \"label\": \"six die\"},\n {\"box_2d\": [682, 425, 738, 456], \"label\": \"four die\"},\n {\"box_2d\": [662, 450, 715, 479], \"label\": \"three die\"},\n {\"box_2d\": [619, 507, 666, 533], \"label\": \"one die\"},\n {\"box_2d\": [658, 526, 711, 555], \"label\": \"four die\"},\n {\"box_2d\": [777, 471, 829, 501], \"label\": \"three die\"},\n {\"box_2d\": [780, 536, 830, 563], \"label\": \"one die\"},\n {\"box_2d\": [692, 616, 751, 649], \"label\": \"three die\"},\n {\"box_2d\": [854, 579, 908, 610], \"label\": \"two die\"},\n {\"box_2d\": [54, 648, 113, 681], \"label\": \"six die\"},\n {\"box_2d\": [89, 673, 151, 707], \"label\": \"three die\"},\n {\"box_2d\": [149, 769, 206, 802], \"label\": \"two die\"},\n {\"box_2d\": [284, 739, 339, 770], \"label\": \"three die\"},\n {\"box_2d\": [288, 869, 342, 902], \"label\": \"five die\"},\n {\"box_2d\": [427, 806, 478, 836], \"label\": \"two die\"},\n {\"box_2d\": [503, 799, 563, 834], \"label\": \"four die\"},\n {\"box_2d\": [504, 842, 562, 875], \"label\": \"four die\"},\n {\"box_2d\": [478, 862, 534, 895], \"label\": \"one die\"},\n {\"box_2d\": [583, 797, 636, 829], \"label\": \"two die\"},\n {\"box_2d\": [600, 839, 647, 867], \"label\": \"one die\"},\n {\"box_2d\": [600, 877, 659, 912], \"label\": \"two die\"},\n {\"box_2d\": [651, 800, 710, 834], \"label\": \"two die\"},\n {\"box_2d\": [648, 833, 701, 863], \"label\": \"one die\"}\n]\n```", "correct": true, "input_tokens": 1252, "output_tokens": 4321, "elapsed_seconds": 35.11860791698564, "metadata": {"match_method": "map", "num_predictions": 51, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8419672250747681, "attempts": 1, "retries": 0, "total_seconds": 35.1603}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 52, "image": "3533container_jpg.rf.12bfe57075507c019cfd5dc24dd08b40.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [374, 234, 465, 269], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [378, 318, 456, 349], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [497, 146, 563, 189], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [515, 76, 576, 138], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [610, 398, 665, 437], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [626, 474, 667, 513], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [624, 312, 673, 350], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [630, 555, 670, 591], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [455, 643, 495, 674], \"label\": \"shipping container wall dent\"}\n]\n```", "correct": false, "input_tokens": 1219, "output_tokens": 1480, "elapsed_seconds": 17.37626524991356, "metadata": {"match_method": "map", "num_predictions": 9, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5115511417388916, "attempts": 1, "retries": 0, "total_seconds": 17.4614}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 53, "image": "DJI_20230529095121_0346_T_JPG_jpg.rf.a2baa2ffdce5ec84e5f5d22342f6b310.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [319, 304, 333, 318], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [327, 428, 339, 440], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [248, 627, 353, 648], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [460, 917, 473, 930], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [703, 466, 721, 481], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [706, 504, 722, 517], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [714, 592, 726, 603], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [828, 859, 844, 874], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [830, 902, 845, 916], \"label\": \"solar panel hot spot\"}\n]\n```", "correct": false, "input_tokens": 1228, "output_tokens": 1124, "elapsed_seconds": 11.015615542070009, "metadata": {"match_method": "map", "num_predictions": 9, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7552255392074585, "attempts": 1, "retries": 0, "total_seconds": 11.0299}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 54, "image": "IMG_20250815_170041_jpg.rf.a65978ab35e2cb48c68d9eebdeaab87b.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [584, 309, 672, 412], \"label\": \"barcode\"},\n {\"box_2d\": [664, 0, 758, 75], \"label\": \"barcode\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 765, "elapsed_seconds": 12.677402792032808, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 12.9732}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 55, "image": "1_000070_png.rf.a431761eff2c713a18daff7bade25bde.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [279, 55, 314, 68], \"label\": \"tire spike normal\"},\n {\"box_2d\": [184, 87, 220, 101], \"label\": \"tire spike normal\"},\n {\"box_2d\": [235, 136, 272, 150], \"label\": \"tire spike absent\"},\n {\"box_2d\": [158, 193, 193, 205], \"label\": \"tire spike normal\"},\n {\"box_2d\": [214, 245, 250, 260], \"label\": \"tire spike normal\"},\n {\"box_2d\": [297, 286, 333, 300], \"label\": \"tire spike normal\"},\n {\"box_2d\": [191, 353, 232, 367], \"label\": \"tire spike normal\"},\n {\"box_2d\": [302, 395, 340, 411], \"label\": \"tire spike absent\"},\n {\"box_2d\": [197, 466, 248, 483], \"label\": \"tire spike normal\"},\n {\"box_2d\": [187, 521, 229, 537], \"label\": \"tire spike normal\"},\n {\"box_2d\": [247, 594, 294, 610], \"label\": \"tire spike normal\"},\n {\"box_2d\": [219, 649, 257, 663], \"label\": \"tire spike normal\"},\n {\"box_2d\": [272, 717, 311, 730], \"label\": \"tire spike normal\"},\n {\"box_2d\": [234, 764, 268, 774], \"label\": \"tire spike normal\"},\n {\"box_2d\": [298, 820, 330, 830], \"label\": \"tire spike normal\"},\n {\"box_2d\": [384, 859, 414, 868], \"label\": \"tire spike normal\"},\n {\"box_2d\": [293, 896, 324, 904], \"label\": \"tire spike normal\"},\n {\"box_2d\": [395, 920, 424, 928], \"label\": \"tire spike normal\"},\n {\"box_2d\": [310, 945, 337, 952], \"label\": \"tire spike normal\"},\n {\"box_2d\": [669, 50, 701, 62], \"label\": \"tire spike normal\"},\n {\"box_2d\": [584, 70, 622, 85], \"label\": \"tire spike normal\"},\n {\"box_2d\": [686, 101, 718, 114], \"label\": \"tire spike normal\"},\n {\"box_2d\": [622, 137, 658, 152], \"label\": \"tire spike normal\"},\n {\"box_2d\": [705, 177, 745, 191], \"label\": \"tire spike absent\"},\n {\"box_2d\": [756, 228, 796, 243], \"label\": \"tire spike absent\"},\n {\"box_2d\": [728, 284, 767, 298], \"label\": \"tire spike normal\"},\n {\"box_2d\": [639, 331, 680, 346], \"label\": \"tire spike normal\"},\n {\"box_2d\": [745, 391, 783, 405], \"label\": \"tire spike absent\"},\n {\"box_2d\": [663, 446, 705, 462], \"label\": \"tire spike normal\"},\n {\"box_2d\": [765, 503, 807, 521], \"label\": \"tire spike normal\"},\n {\"box_2d\": [814, 572, 856, 588], \"label\": \"tire spike normal\"},\n {\"box_2d\": [780, 635, 816, 648], \"label\": \"tire spike absent\"},\n {\"box_2d\": [824, 695, 865, 709], \"label\": \"tire spike absent\"},\n {\"box_2d\": [792, 754, 829, 765], \"label\": \"tire spike normal\"},\n {\"box_2d\": [833, 801, 871, 813], \"label\": \"tire spike absent\"},\n {\"box_2d\": [784, 849, 822, 860], \"label\": \"tire spike absent\"},\n {\"box_2d\": [704, 886, 738, 895], \"label\": \"tire spike normal\"},\n {\"box_2d\": [789, 910, 821, 920], \"label\": \"tire spike absent\"},\n {\"box_2d\": [696, 940, 725, 947], \"label\": \"tire spike normal\"}\n]\n```", "correct": false, "input_tokens": 1222, "output_tokens": 4257, "elapsed_seconds": 31.381907999981195, "metadata": {"match_method": "map", "num_predictions": 39, "num_ground_truth": 46, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5252197980880737, "attempts": 1, "retries": 0, "total_seconds": 31.4446}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 56, "image": "egg-detection_image148_jpg.rf.7ef43d25f8e9b9b7f3d805f238830ff7.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [21, 706, 93, 759], \"label\": \"egg\"},\n {\"box_2d\": [56, 569, 134, 625], \"label\": \"egg\"},\n {\"box_2d\": [105, 613, 185, 675], \"label\": \"egg\"},\n {\"box_2d\": [110, 686, 187, 740], \"label\": \"egg\"},\n {\"box_2d\": [161, 517, 239, 577], \"label\": \"egg\"},\n {\"box_2d\": [222, 699, 302, 754], \"label\": \"egg\"},\n {\"box_2d\": [276, 661, 359, 720], \"label\": \"egg\"},\n {\"box_2d\": [334, 713, 419, 771], \"label\": \"egg\"},\n {\"box_2d\": [407, 533, 493, 595], \"label\": \"egg\"},\n {\"box_2d\": [402, 631, 488, 694], \"label\": \"egg\"},\n {\"box_2d\": [442, 761, 550, 804], \"label\": \"egg\"},\n {\"box_2d\": [512, 715, 594, 769], \"label\": \"egg\"},\n {\"box_2d\": [587, 594, 672, 659], \"label\": \"egg\"},\n {\"box_2d\": [581, 658, 666, 719], \"label\": \"egg\"},\n {\"box_2d\": [631, 699, 718, 759], \"label\": \"egg\"},\n {\"box_2d\": [626, 757, 708, 809], \"label\": \"egg\"},\n {\"box_2d\": [706, 616, 789, 676], \"label\": \"egg\"},\n {\"box_2d\": [774, 519, 855, 581], \"label\": \"egg\"},\n {\"box_2d\": [754, 658, 837, 717], \"label\": \"egg\"},\n {\"box_2d\": [740, 742, 818, 795], \"label\": \"egg\"},\n {\"box_2d\": [802, 698, 882, 756], \"label\": \"egg\"},\n {\"box_2d\": [908, 677, 984, 733], \"label\": \"egg\"},\n {\"box_2d\": [892, 732, 976, 773], \"label\": \"egg\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 1649, "elapsed_seconds": 16.321088082971983, "metadata": {"match_method": "map", "num_predictions": 23, "num_ground_truth": 23, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 16.4158}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 57, "image": "wood-log-detection_024_png_jpg.rf.263e49a755104b6d29dbdffe768891e9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [64, 293, 123, 381], \"label\": \"log cross-section\"},\n {\"box_2d\": [100, 412, 145, 469], \"label\": \"log cross-section\"},\n {\"box_2d\": [119, 658, 147, 692], \"label\": \"log cross-section\"},\n {\"box_2d\": [125, 239, 164, 297], \"label\": \"log cross-section\"},\n {\"box_2d\": [125, 469, 155, 502], \"label\": \"log cross-section\"},\n {\"box_2d\": [144, 283, 178, 320], \"label\": \"log cross-section\"},\n {\"box_2d\": [147, 317, 186, 367], \"label\": \"log cross-section\"},\n {\"box_2d\": [148, 444, 188, 491], \"label\": \"log cross-section\"},\n {\"box_2d\": [148, 656, 205, 728], \"label\": \"log cross-section\"},\n {\"box_2d\": [152, 533, 203, 600], \"label\": \"log cross-section\"},\n {\"box_2d\": [167, 387, 198, 425], \"label\": \"log cross-section\"},\n {\"box_2d\": [169, 245, 223, 314], \"label\": \"log cross-section\"},\n {\"box_2d\": [173, 600, 222, 659], \"label\": \"log cross-section\"},\n {\"box_2d\": [184, 511, 217, 552], \"label\": \"log cross-section\"},\n {\"box_2d\": [189, 319, 238, 380], \"label\": \"log cross-section\"},\n {\"box_2d\": [198, 698, 234, 744], \"label\": \"log cross-section\"},\n {\"box_2d\": [200, 423, 238, 478], \"label\": \"log cross-section\"},\n {\"box_2d\": [205, 620, 255, 686], \"label\": \"log cross-section\"},\n {\"box_2d\": [214, 238, 242, 280], \"label\": \"log cross-section\"},\n {\"box_2d\": [214, 488, 241, 522], \"label\": \"log cross-section\"},\n {\"box_2d\": [220, 566, 250, 598], \"label\": \"log cross-section\"},\n {\"box_2d\": [222, 519, 264, 567], \"label\": \"log cross-section\"},\n {\"box_2d\": [223, 292, 259, 338], \"label\": \"log cross-section\"},\n {\"box_2d\": [230, 439, 267, 483], \"label\": \"log cross-section\"},\n {\"box_2d\": [236, 386, 275, 433], \"label\": \"log cross-section\"},\n {\"box_2d\": [247, 322, 281, 366], \"label\": \"log cross-section\"},\n {\"box_2d\": [250, 245, 297, 311], \"label\": \"log cross-section\"},\n {\"box_2d\": [250, 489, 283, 534], \"label\": \"log cross-section\"},\n {\"box_2d\": [250, 664, 306, 738], \"label\": \"log cross-section\"},\n {\"box_2d\": [256, 558, 314, 627], \"label\": \"log cross-section\"},\n {\"box_2d\": [266, 419, 308, 481], \"label\": \"log cross-section\"},\n {\"box_2d\": [267, 625, 300, 666], \"label\": \"log cross-section\"},\n {\"box_2d\": [277, 350, 312, 395], \"label\": \"log cross-section\"},\n {\"box_2d\": [292, 472, 327, 517], \"label\": \"log cross-section\"},\n {\"box_2d\": [292, 689, 334, 742], \"label\": \"log cross-section\"},\n {\"box_2d\": [294, 533, 331, 581], \"label\": \"log cross-section\"},\n {\"box_2d\": [297, 414, 341, 478], \"label\": \"log cross-section\"},\n {\"box_2d\": [305, 392, 338, 420], \"label\": \"log cross-section\"},\n {\"box_2d\": [306, 241, 344, 295], \"label\": \"log cross-section\"},\n {\"box_2d\": [325, 639, 355, 691], \"label\": \"log cross-section\"}\n]\n```", "correct": true, "input_tokens": 1228, "output_tokens": 5061, "elapsed_seconds": 44.73889108397998, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 40, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 44.7542}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 58, "image": "img_458587397241176242_png.rf.41b1d861ca437ce5097848dacad76db8.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [171, 250, 267, 366], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [250, 244, 349, 362], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [332, 224, 438, 353], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [423, 209, 533, 345], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [518, 189, 631, 336], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [623, 169, 735, 323], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [735, 146, 853, 311], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [856, 121, 991, 297], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [126, 362, 221, 474], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [205, 353, 305, 470], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [289, 342, 396, 466], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [377, 331, 490, 462], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [474, 319, 588, 456], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [577, 305, 692, 449], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [691, 289, 809, 447], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [811, 270, 945, 444], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [146, 464, 246, 583], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [230, 462, 335, 585], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [318, 458, 429, 585], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [412, 451, 526, 585], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [512, 442, 628, 588], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [623, 436, 742, 586], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [742, 426, 868, 589], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [868, 412, 1000, 582], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [100, 583, 204, 706], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [182, 581, 291, 708], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [269, 578, 382, 710], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [362, 577, 480, 714], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [464, 575, 584, 717], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [574, 576, 697, 725], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [694, 574, 821, 731], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [824, 569, 970, 741], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [120, 699, 230, 832], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [207, 703, 320, 838], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [297, 705, 415, 845], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [395, 709, 518, 856], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [502, 713, 628, 868], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [622, 719, 749, 882], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [748, 722, 882, 896], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [882, 729, 1000, 913], \"label\": \"empty portable gas cylinder\"}\n]\n```", "correct": false, "input_tokens": 1208, "output_tokens": 4748, "elapsed_seconds": 44.23975616705138, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 40, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.44627004861831665, "attempts": 1, "retries": 0, "total_seconds": 44.3223}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 59, "image": "frame_0008_jpg.rf.87aed24f253375f69a3bb398f6521d18.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [38, 341, 85, 365], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [31, 395, 73, 418], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [25, 451, 70, 474], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [27, 506, 70, 529], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [125, 333, 172, 357], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [116, 389, 163, 413], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [112, 447, 158, 471], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [112, 507, 159, 531], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [216, 326, 261, 350], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [208, 384, 253, 409], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [204, 446, 249, 471], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [204, 509, 248, 534], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [497, 315, 549, 343], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [511, 376, 563, 403], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [525, 437, 577, 466], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [539, 502, 590, 530], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [606, 302, 658, 329], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [624, 363, 677, 390], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [639, 425, 691, 454], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [653, 490, 705, 519], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [718, 296, 771, 322], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [737, 356, 790, 383], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [754, 420, 807, 447], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [769, 485, 821, 512], \"label\": \"soda bottle cap\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 2229, "elapsed_seconds": 23.36021008400712, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 24, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 23.742}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 60, "image": "uav20221018_ixfZ_3857_0_png.rf.68f3022f53a4bfe08c731fb3a58473cf.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [228, 336, 307, 405], \"label\": \"banana tree\"},\n {\"box_2d\": [203, 410, 273, 471], \"label\": \"banana tree\"},\n {\"box_2d\": [286, 407, 349, 471], \"label\": \"banana tree\"},\n {\"box_2d\": [322, 323, 391, 396], \"label\": \"banana tree\"},\n {\"box_2d\": [372, 400, 444, 480], \"label\": \"banana tree\"},\n {\"box_2d\": [416, 344, 469, 396], \"label\": \"banana tree\"},\n {\"box_2d\": [449, 405, 513, 475], \"label\": \"banana tree\"},\n {\"box_2d\": [495, 319, 570, 405], \"label\": \"banana tree\"},\n {\"box_2d\": [536, 407, 599, 463], \"label\": \"banana tree\"},\n {\"box_2d\": [583, 334, 659, 398], \"label\": \"banana tree\"},\n {\"box_2d\": [627, 407, 696, 481], \"label\": \"banana tree\"},\n {\"box_2d\": [668, 341, 740, 411], \"label\": \"banana tree\"},\n {\"box_2d\": [714, 416, 783, 474], \"label\": \"banana tree\"},\n {\"box_2d\": [750, 323, 829, 404], \"label\": \"banana tree\"},\n {\"box_2d\": [800, 404, 875, 481], \"label\": \"banana tree\"},\n {\"box_2d\": [844, 341, 912, 406], \"label\": \"banana tree\"},\n {\"box_2d\": [878, 406, 947, 484], \"label\": \"banana tree\"},\n {\"box_2d\": [930, 338, 991, 402], \"label\": \"banana tree\"},\n {\"box_2d\": [968, 409, 1000, 476], \"label\": \"banana tree\"},\n {\"box_2d\": [182, 681, 255, 756], \"label\": \"banana tree\"},\n {\"box_2d\": [236, 689, 314, 763], \"label\": \"banana tree\"},\n {\"box_2d\": [276, 631, 338, 690], \"label\": \"banana tree\"},\n {\"box_2d\": [313, 693, 401, 769], \"label\": \"banana tree\"},\n {\"box_2d\": [361, 619, 439, 692], \"label\": \"banana tree\"},\n {\"box_2d\": [398, 697, 482, 772], \"label\": \"banana tree\"},\n {\"box_2d\": [453, 623, 509, 697], \"label\": \"banana tree\"},\n {\"box_2d\": [477, 695, 560, 772], \"label\": \"banana tree\"},\n {\"box_2d\": [529, 619, 608, 699], \"label\": \"banana tree\"},\n {\"box_2d\": [569, 705, 650, 778], \"label\": \"banana tree\"},\n {\"box_2d\": [621, 643, 678, 706], \"label\": \"banana tree\"},\n {\"box_2d\": [660, 695, 738, 780], \"label\": \"banana tree\"},\n {\"box_2d\": [701, 624, 774, 709], \"label\": \"banana tree\"},\n {\"box_2d\": [739, 701, 813, 777], \"label\": \"banana tree\"},\n {\"box_2d\": [788, 638, 861, 700], \"label\": \"banana tree\"},\n {\"box_2d\": [826, 695, 902, 769], \"label\": \"banana tree\"},\n {\"box_2d\": [874, 623, 938, 705], \"label\": \"banana tree\"},\n {\"box_2d\": [907, 701, 986, 768], \"label\": \"banana tree\"},\n {\"box_2d\": [959, 624, 1000, 697], \"label\": \"banana tree\"},\n {\"box_2d\": [201, 940, 265, 987], \"label\": \"banana tree\"},\n {\"box_2d\": [284, 929, 369, 996], \"label\": \"banana tree\"},\n {\"box_2d\": [378, 926, 449, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [449, 935, 533, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [541, 920, 619, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [628, 940, 696, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [711, 928, 786, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [797, 946, 863, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [878, 935, 954, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [968, 943, 1000, 998], \"label\": \"banana tree\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 3157, "elapsed_seconds": 23.37733533408027, "metadata": {"match_method": "map", "num_predictions": 48, "num_ground_truth": 47, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9872112274169922, "attempts": 1, "retries": 0, "total_seconds": 23.4333}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 61, "image": "egg-detection_image32_jpg.rf.bd04bf65691e0bae0f1d97601289a543.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [449, 428, 535, 492], \"label\": \"egg\"},\n {\"box_2d\": [176, 694, 255, 753], \"label\": \"egg\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 250, "elapsed_seconds": 5.64519425004255, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 5.7429}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 62, "image": "construction-safety_ppe_0407_jpg.rf.b54d8bba5b223e0515f3d28ff728e79a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [375, 333, 820, 415], \"label\": \"person\"},\n {\"box_2d\": [374, 353, 419, 383], \"label\": \"safety helmet\"},\n {\"box_2d\": [445, 342, 635, 394], \"label\": \"safety vest\"},\n {\"box_2d\": [358, 390, 779, 444], \"label\": \"person\"},\n {\"box_2d\": [358, 405, 401, 433], \"label\": \"safety helmet\"},\n {\"box_2d\": [425, 392, 588, 442], \"label\": \"safety vest\"},\n {\"box_2d\": [344, 456, 725, 512], \"label\": \"person\"},\n {\"box_2d\": [344, 464, 390, 495], \"label\": \"safety helmet\"},\n {\"box_2d\": [419, 456, 614, 506], \"label\": \"safety vest\"},\n {\"box_2d\": [356, 482, 676, 514], \"label\": \"person\"},\n {\"box_2d\": [408, 486, 549, 510], \"label\": \"safety vest\"},\n {\"box_2d\": [379, 518, 809, 576], \"label\": \"person\"},\n {\"box_2d\": [377, 536, 435, 567], \"label\": \"safety helmet\"},\n {\"box_2d\": [448, 524, 650, 574], \"label\": \"safety vest\"},\n {\"box_2d\": [401, 578, 807, 636], \"label\": \"person\"},\n {\"box_2d\": [399, 591, 442, 617], \"label\": \"safety helmet\"},\n {\"box_2d\": [464, 582, 652, 631], \"label\": \"safety vest\"},\n {\"box_2d\": [350, 642, 815, 697], \"label\": \"person\"},\n {\"box_2d\": [350, 655, 394, 683], \"label\": \"safety helmet\"},\n {\"box_2d\": [434, 647, 608, 695], \"label\": \"safety vest\"},\n {\"box_2d\": [308, 614, 989, 767], \"label\": \"person\"},\n {\"box_2d\": [309, 698, 375, 743], \"label\": \"safety helmet\"},\n {\"box_2d\": [401, 686, 679, 765], \"label\": \"safety vest\"},\n {\"box_2d\": [360, 726, 862, 774], \"label\": \"person\"},\n {\"box_2d\": [360, 734, 401, 753], \"label\": \"safety helmet\"},\n {\"box_2d\": [332, 808, 895, 895], \"label\": \"person\"},\n {\"box_2d\": [332, 823, 376, 861], \"label\": \"safety helmet\"},\n {\"box_2d\": [419, 825, 638, 891], \"label\": \"safety vest\"}\n]\n```", "correct": true, "input_tokens": 1220, "output_tokens": 3101, "elapsed_seconds": 30.483152291039005, "metadata": {"match_method": "map", "num_predictions": 28, "num_ground_truth": 28, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 30.5161}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 63, "image": "IMG_4931_jpg.rf.58c129944a1f2b663c55dbd43e27cf91.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [600, 249, 644, 270], \"label\": \"face\"},\n {\"box_2d\": [631, 342, 675, 365], \"label\": \"face\"},\n {\"box_2d\": [416, 250, 450, 267], \"label\": \"face\"},\n {\"box_2d\": [432, 281, 464, 297], \"label\": \"face\"},\n {\"box_2d\": [420, 376, 449, 391], \"label\": \"face\"},\n {\"box_2d\": [335, 399, 360, 412], \"label\": \"face\"},\n {\"box_2d\": [350, 429, 375, 443], \"label\": \"face\"},\n {\"box_2d\": [305, 491, 326, 502], \"label\": \"face\"},\n {\"box_2d\": [318, 523, 341, 535], \"label\": \"face\"},\n {\"box_2d\": [295, 525, 317, 537], \"label\": \"face\"},\n {\"box_2d\": [291, 555, 312, 566], \"label\": \"face\"},\n {\"box_2d\": [294, 606, 314, 616], \"label\": \"face\"},\n {\"box_2d\": [299, 634, 319, 645], \"label\": \"face\"},\n {\"box_2d\": [319, 632, 341, 644], \"label\": \"face\"},\n {\"box_2d\": [342, 613, 364, 625], \"label\": \"face\"},\n {\"box_2d\": [343, 645, 364, 656], \"label\": \"face\"},\n {\"box_2d\": [357, 597, 380, 609], \"label\": \"face\"},\n {\"box_2d\": [365, 623, 387, 636], \"label\": \"face\"},\n {\"box_2d\": [309, 669, 330, 680], \"label\": \"face\"},\n {\"box_2d\": [334, 694, 357, 706], \"label\": \"face\"},\n {\"box_2d\": [353, 725, 375, 736], \"label\": \"face\"},\n {\"box_2d\": [357, 756, 379, 767], \"label\": \"face\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 2158, "elapsed_seconds": 22.096195541904308, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 28, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7331233024597168, "attempts": 1, "retries": 0, "total_seconds": 22.4223}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 64, "image": "tile_232_jpg.rf.d215d900b9cd862d3217f88435d7ad8a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [592, 411, 650, 518], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [626, 548, 718, 745], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [671, 784, 732, 976], \"label\": \"ship in SAR satellite image\"}\n]\n```", "correct": true, "input_tokens": 1229, "output_tokens": 1246, "elapsed_seconds": 14.683470249990933, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 14.712}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 65, "image": "IMG_20250815_164441_jpg.rf.3c12e140b11a4091c99d31ed66a86850.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [146, 261, 202, 290], \"label\": \"barcode\"},\n {\"box_2d\": [154, 417, 181, 446], \"label\": \"barcode\"},\n {\"box_2d\": [180, 511, 236, 539], \"label\": \"barcode\"},\n {\"box_2d\": [92, 636, 150, 666], \"label\": \"barcode\"},\n {\"box_2d\": [596, 37, 623, 67], \"label\": \"barcode\"},\n {\"box_2d\": [514, 208, 569, 237], \"label\": \"barcode\"},\n {\"box_2d\": [602, 229, 629, 258], \"label\": \"barcode\"},\n {\"box_2d\": [502, 323, 558, 353], \"label\": \"barcode\"},\n {\"box_2d\": [611, 372, 638, 401], \"label\": \"barcode\"},\n {\"box_2d\": [499, 485, 526, 514], \"label\": \"barcode\"},\n {\"box_2d\": [614, 519, 642, 548], \"label\": \"barcode\"},\n {\"box_2d\": [506, 629, 561, 657], \"label\": \"barcode\"},\n {\"box_2d\": [620, 666, 647, 695], \"label\": \"barcode\"},\n {\"box_2d\": [533, 838, 590, 868], \"label\": \"barcode\"},\n {\"box_2d\": [629, 838, 654, 866], \"label\": \"barcode\"},\n {\"box_2d\": [632, 978, 658, 1000], \"label\": \"barcode\"},\n {\"box_2d\": [829, 41, 885, 70], \"label\": \"barcode\"},\n {\"box_2d\": [830, 214, 857, 243], \"label\": \"barcode\"},\n {\"box_2d\": [864, 396, 891, 424], \"label\": \"barcode\"},\n {\"box_2d\": [866, 524, 892, 553], \"label\": \"barcode\"},\n {\"box_2d\": [863, 653, 888, 681], \"label\": \"barcode\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 2537, "elapsed_seconds": 25.71107416599989, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 21, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 26.0364}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 66, "image": "car-part-detection_Car-damages-128_png_jpg.rf.e07bc73742c49cec70d8b7dc538a39d2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [500, 68, 577, 107], \"label\": \"headlight\"},\n {\"box_2d\": [557, 56, 772, 113], \"label\": \"front bumper\"},\n {\"box_2d\": [364, 72, 498, 318], \"label\": \"hood\"},\n {\"box_2d\": [224, 299, 417, 456], \"label\": \"windshield\"},\n {\"box_2d\": [344, 379, 417, 419], \"label\": \"mirror\"},\n {\"box_2d\": [221, 352, 415, 595], \"label\": \"front window\"},\n {\"box_2d\": [221, 316, 716, 593], \"label\": \"front door\"},\n {\"box_2d\": [217, 599, 392, 812], \"label\": \"back window\"},\n {\"box_2d\": [217, 563, 700, 812], \"label\": \"back door\"},\n {\"box_2d\": [243, 864, 369, 921], \"label\": \"back windshield\"},\n {\"box_2d\": [351, 895, 480, 932], \"label\": \"tail light\"},\n {\"box_2d\": [489, 853, 719, 950], \"label\": \"back bumper\"}\n]\n```", "correct": true, "input_tokens": 1224, "output_tokens": 1187, "elapsed_seconds": 12.276967582991347, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 13, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9587457776069641, "attempts": 1, "retries": 0, "total_seconds": 12.2968}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 67, "image": "Lego_73_low_jpeg.rf.bf207a14dd8d49e9b00aae2e1a8886e1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [61, 203, 130, 297], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [187, 239, 259, 334], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [228, 43, 304, 146], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [399, 41, 495, 113], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [455, 270, 550, 329], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [703, 94, 804, 169], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [608, 295, 658, 411], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [546, 392, 625, 483], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [588, 428, 651, 529], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [714, 395, 758, 496], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [413, 426, 482, 536], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [201, 453, 257, 557], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [105, 517, 183, 616], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [37, 680, 135, 785], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [234, 668, 317, 738], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [199, 764, 300, 825], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [184, 811, 286, 858], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [128, 841, 236, 886], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [160, 941, 246, 1000], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [379, 631, 474, 689], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [387, 682, 466, 773], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [410, 728, 485, 811], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [387, 808, 468, 877], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [527, 535, 603, 623], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [592, 588, 653, 691], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [720, 634, 782, 732], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [492, 797, 565, 862], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [569, 779, 651, 851], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [528, 851, 622, 947], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [636, 938, 726, 1000], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [706, 846, 789, 930], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [770, 893, 835, 969], \"label\": \"lego 3x2 brick\"}\n]\n```", "correct": true, "input_tokens": 1244, "output_tokens": 4417, "elapsed_seconds": 33.25486504205037, "metadata": {"match_method": "map", "num_predictions": 32, "num_ground_truth": 32, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8827882409095764, "attempts": 2, "retries": 1, "total_seconds": 95.9065, "transient_errors": ["RemoteProtocolError"]}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 68, "image": "IMG_6646_jpeg_jpg.rf.bb15616ff058bc9ba8f9683f61ab5fbb.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [345, 335, 411, 507], \"label\": \"green poker chip\"},\n {\"box_2d\": [387, 338, 427, 508], \"label\": \"green poker chip\"},\n {\"box_2d\": [401, 340, 444, 511], \"label\": \"green poker chip\"},\n {\"box_2d\": [416, 344, 460, 514], \"label\": \"green poker chip\"},\n {\"box_2d\": [432, 348, 477, 517], \"label\": \"green poker chip\"},\n {\"box_2d\": [447, 348, 493, 516], \"label\": \"green poker chip\"},\n {\"box_2d\": [451, 342, 511, 512], \"label\": \"green poker chip\"},\n {\"box_2d\": [311, 530, 372, 711], \"label\": \"green poker chip\"},\n {\"box_2d\": [347, 531, 389, 708], \"label\": \"green poker chip\"},\n {\"box_2d\": [359, 530, 404, 707], \"label\": \"green poker chip\"},\n {\"box_2d\": [375, 532, 421, 708], \"label\": \"green poker chip\"},\n {\"box_2d\": [392, 532, 438, 707], \"label\": \"green poker chip\"},\n {\"box_2d\": [406, 531, 454, 705], \"label\": \"green poker chip\"},\n {\"box_2d\": [421, 531, 470, 704], \"label\": \"green poker chip\"},\n {\"box_2d\": [435, 530, 484, 701], \"label\": \"green poker chip\"},\n {\"box_2d\": [447, 530, 499, 699], \"label\": \"green poker chip\"},\n {\"box_2d\": [459, 543, 522, 718], \"label\": \"green poker chip\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 1395, "elapsed_seconds": 13.66463058302179, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 17, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 13.688}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 69, "image": "41_jpg.rf.2cb4080a10f215e4bd4d6ed6d4ea3e68.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [24, 383, 88, 622], \"label\": \"blood sample tube\"},\n {\"box_2d\": [20, 622, 83, 866], \"label\": \"blood sample tube\"},\n {\"box_2d\": [77, 386, 144, 620], \"label\": \"blood sample tube\"},\n {\"box_2d\": [77, 626, 142, 876], \"label\": \"blood sample tube\"},\n {\"box_2d\": [134, 465, 200, 709], \"label\": \"blood sample tube\"},\n {\"box_2d\": [175, 631, 275, 885], \"label\": \"blood sample tube\"},\n {\"box_2d\": [24, 868, 355, 920], \"label\": \"blood sample tube\"},\n {\"box_2d\": [90, 329, 349, 513], \"label\": \"blood sample tube\"},\n {\"box_2d\": [235, 237, 549, 324], \"label\": \"blood sample tube\"},\n {\"box_2d\": [465, 179, 703, 382], \"label\": \"blood sample tube\"},\n {\"box_2d\": [549, 333, 731, 560], \"label\": \"blood sample tube\"},\n {\"box_2d\": [555, 416, 736, 643], \"label\": \"blood sample tube\"},\n {\"box_2d\": [337, 376, 608, 550], \"label\": \"blood sample tube\"},\n {\"box_2d\": [355, 474, 650, 623], \"label\": \"blood sample tube\"},\n {\"box_2d\": [230, 495, 535, 620], \"label\": \"blood sample tube\"},\n {\"box_2d\": [304, 616, 606, 748], \"label\": \"blood sample tube\"},\n {\"box_2d\": [396, 636, 681, 790], \"label\": \"blood sample tube\"},\n {\"box_2d\": [366, 720, 678, 845], \"label\": \"blood sample tube\"},\n {\"box_2d\": [345, 830, 678, 885], \"label\": \"blood sample tube\"},\n {\"box_2d\": [355, 881, 684, 929], \"label\": \"blood sample tube\"},\n {\"box_2d\": [676, 673, 736, 929], \"label\": \"blood sample tube\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 2513, "elapsed_seconds": 22.28032333299052, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 21, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 22.3062}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 70, "image": "construction-safety_ppe_0710_jpg.rf.d335438ef5819cfad67cee1d9e8c6eab.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [171, 46, 895, 185], \"label\": \"person\"},\n {\"box_2d\": [171, 102, 232, 163], \"label\": \"safety helmet\"},\n {\"box_2d\": [279, 73, 514, 179], \"label\": \"safety vest\"},\n {\"box_2d\": [226, 151, 896, 281], \"label\": \"person\"},\n {\"box_2d\": [226, 176, 297, 245], \"label\": \"safety helmet\"},\n {\"box_2d\": [340, 162, 588, 276], \"label\": \"safety vest\"},\n {\"box_2d\": [191, 246, 835, 355], \"label\": \"person\"},\n {\"box_2d\": [191, 277, 246, 330], \"label\": \"safety helmet\"},\n {\"box_2d\": [295, 255, 512, 349], \"label\": \"safety vest\"},\n {\"box_2d\": [218, 312, 868, 444], \"label\": \"person\"},\n {\"box_2d\": [218, 348, 276, 405], \"label\": \"safety helmet\"},\n {\"box_2d\": [328, 323, 558, 427], \"label\": \"safety vest\"},\n {\"box_2d\": [222, 434, 845, 567], \"label\": \"person\"},\n {\"box_2d\": [221, 461, 280, 518], \"label\": \"safety helmet\"},\n {\"box_2d\": [328, 449, 540, 548], \"label\": \"safety vest\"},\n {\"box_2d\": [279, 544, 891, 675], \"label\": \"person\"},\n {\"box_2d\": [278, 571, 337, 628], \"label\": \"safety helmet\"},\n {\"box_2d\": [388, 555, 622, 658], \"label\": \"safety vest\"},\n {\"box_2d\": [208, 650, 867, 796], \"label\": \"person\"},\n {\"box_2d\": [211, 699, 267, 755], \"label\": \"safety helmet\"},\n {\"box_2d\": [318, 668, 526, 783], \"label\": \"safety vest\"},\n {\"box_2d\": [219, 740, 962, 932], \"label\": \"person\"},\n {\"box_2d\": [221, 783, 299, 859], \"label\": \"safety helmet\"},\n {\"box_2d\": [336, 763, 572, 899], \"label\": \"safety vest\"}\n]\n```", "correct": true, "input_tokens": 1222, "output_tokens": 2206, "elapsed_seconds": 18.10132875002455, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 24, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 18.1475}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 71, "image": "4103456_ContLeftUpper_f_jpg.rf.6635963edc568c350879157eaf0b4b06.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [391, 15, 421, 40], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [447, 16, 480, 41], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [540, 17, 572, 43], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [525, 58, 559, 83], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [527, 98, 560, 125], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [536, 140, 565, 164], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [368, 177, 415, 203], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [424, 177, 469, 203], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [518, 179, 586, 205], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [362, 257, 397, 282], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [418, 257, 464, 283], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [553, 258, 581, 285], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [359, 337, 395, 363], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [415, 338, 453, 363], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [554, 338, 579, 365], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [348, 416, 384, 443], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [418, 417, 456, 443], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [346, 498, 398, 523], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [404, 742, 432, 763], \"label\": \"shipping container wall dent\"}\n]\n```", "correct": false, "input_tokens": 1255, "output_tokens": 2890, "elapsed_seconds": 25.566159415990114, "metadata": {"match_method": "map", "num_predictions": 19, "num_ground_truth": 20, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5805830359458923, "attempts": 1, "retries": 0, "total_seconds": 25.6545}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 72, "image": "V000087_0_0-Drive-Shaft_jpeg_jpg.rf.148a90e2fb96f98fb22ea082d09655d1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [172, 349, 214, 448], \"label\": \"surface roughness symbol\"},\n {\"box_2d\": [166, 434, 222, 498], \"label\": \"dimension annotation\"},\n {\"box_2d\": [169, 493, 240, 567], \"label\": \"dimension annotation\"},\n {\"box_2d\": [186, 544, 220, 631], \"label\": \"dimension annotation\"},\n {\"box_2d\": [244, 489, 292, 553], \"label\": \"dimension annotation\"},\n {\"box_2d\": [264, 551, 291, 667], \"label\": \"dimension annotation\"},\n {\"box_2d\": [269, 312, 321, 434], \"label\": \"dimension annotation\"},\n {\"box_2d\": [263, 432, 321, 577], \"label\": \"dimension annotation\"},\n {\"box_2d\": [157, 672, 265, 815], \"label\": \"dimension annotation\"},\n {\"box_2d\": [145, 732, 285, 905], \"label\": \"dimension annotation\"},\n {\"box_2d\": [485, 216, 541, 577], \"label\": \"dimension annotation\"},\n {\"box_2d\": [470, 577, 517, 625], \"label\": \"dimension annotation\"},\n {\"box_2d\": [436, 577, 474, 625], \"label\": \"dimension annotation\"},\n {\"box_2d\": [428, 577, 485, 669], \"label\": \"dimension annotation\"},\n {\"box_2d\": [801, 95, 967, 953], \"label\": \"technical drawing table\"}\n]\n```", "correct": false, "input_tokens": 1237, "output_tokens": 1967, "elapsed_seconds": 18.277171583962627, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.666666567325592, "attempts": 1, "retries": 0, "total_seconds": 18.286}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 73, "image": "1_000290_png.rf.2ed72f4c5f09c4e50e5326dbdb424cd7.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [114, 259, 127, 286], \"label\": \"tire spike normal\"},\n {\"box_2d\": [134, 349, 146, 378], \"label\": \"tire spike normal\"},\n {\"box_2d\": [80, 563, 89, 591], \"label\": \"tire spike normal\"},\n {\"box_2d\": [95, 771, 108, 798], \"label\": \"tire spike normal\"},\n {\"box_2d\": [134, 746, 148, 774], \"label\": \"tire spike normal\"},\n {\"box_2d\": [159, 647, 171, 676], \"label\": \"tire spike normal\"},\n {\"box_2d\": [205, 429, 219, 458], \"label\": \"tire spike normal\"},\n {\"box_2d\": [216, 273, 232, 300], \"label\": \"tire spike normal\"},\n {\"box_2d\": [301, 217, 319, 245], \"label\": \"tire spike normal\"},\n {\"box_2d\": [296, 495, 313, 524], \"label\": \"tire spike normal\"},\n {\"box_2d\": [236, 563, 251, 593], \"label\": \"tire spike normal\"},\n {\"box_2d\": [248, 724, 265, 755], \"label\": \"tire spike normal\"},\n {\"box_2d\": [337, 779, 357, 809], \"label\": \"tire spike normal\"},\n {\"box_2d\": [382, 365, 398, 396], \"label\": \"tire spike normal\"},\n {\"box_2d\": [455, 199, 477, 230], \"label\": \"tire spike normal\"},\n {\"box_2d\": [449, 396, 467, 427], \"label\": \"tire spike normal\"},\n {\"box_2d\": [424, 622, 442, 654], \"label\": \"tire spike normal\"},\n {\"box_2d\": [494, 590, 515, 622], \"label\": \"tire spike normal\"},\n {\"box_2d\": [499, 788, 520, 819], \"label\": \"tire spike normal\"},\n {\"box_2d\": [584, 738, 608, 771], \"label\": \"tire spike normal\"},\n {\"box_2d\": [536, 245, 559, 278], \"label\": \"tire spike normal\"},\n {\"box_2d\": [654, 171, 678, 200], \"label\": \"tire spike normal\"},\n {\"box_2d\": [641, 415, 664, 447], \"label\": \"tire spike absent\"},\n {\"box_2d\": [696, 569, 715, 598], \"label\": \"tire spike normal\"},\n {\"box_2d\": [706, 814, 728, 847], \"label\": \"tire spike normal\"},\n {\"box_2d\": [759, 203, 780, 234], \"label\": \"tire spike normal\"},\n {\"box_2d\": [826, 317, 848, 349], \"label\": \"tire spike normal\"},\n {\"box_2d\": [890, 488, 914, 522], \"label\": \"tire spike normal\"},\n {\"box_2d\": [881, 667, 902, 699], \"label\": \"tire spike normal\"},\n {\"box_2d\": [813, 781, 837, 814], \"label\": \"tire spike normal\"}\n]\n```", "correct": false, "input_tokens": 1215, "output_tokens": 3159, "elapsed_seconds": 29.041847125045024, "metadata": {"match_method": "map", "num_predictions": 30, "num_ground_truth": 35, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.4080279767513275, "attempts": 1, "retries": 0, "total_seconds": 29.0876}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 74, "image": "GP010212_JPG_jpg.rf.6a034cdac286be2f0a162b6bfc04e1c0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [256, 200, 361, 384], \"label\": \"carrot\"},\n {\"box_2d\": [269, 230, 376, 442], \"label\": \"carrot\"},\n {\"box_2d\": [231, 498, 270, 720], \"label\": \"carrot\"},\n {\"box_2d\": [255, 448, 311, 608], \"label\": \"carrot\"},\n {\"box_2d\": [278, 506, 369, 681], \"label\": \"carrot\"},\n {\"box_2d\": [320, 484, 391, 648], \"label\": \"carrot\"},\n {\"box_2d\": [339, 431, 411, 584], \"label\": \"carrot\"},\n {\"box_2d\": [298, 673, 452, 703], \"label\": \"carrot\"},\n {\"box_2d\": [380, 525, 442, 686], \"label\": \"carrot\"},\n {\"box_2d\": [364, 248, 408, 486], \"label\": \"carrot\"},\n {\"box_2d\": [398, 327, 434, 503], \"label\": \"carrot\"},\n {\"box_2d\": [427, 364, 453, 512], \"label\": \"carrot\"},\n {\"box_2d\": [452, 439, 488, 648], \"label\": \"carrot\"},\n {\"box_2d\": [456, 405, 520, 566], \"label\": \"carrot\"},\n {\"box_2d\": [428, 284, 519, 491], \"label\": \"carrot\"},\n {\"box_2d\": [472, 286, 527, 455], \"label\": \"carrot\"},\n {\"box_2d\": [522, 427, 553, 591], \"label\": \"carrot\"},\n {\"box_2d\": [531, 330, 588, 583], \"label\": \"carrot\"},\n {\"box_2d\": [533, 302, 659, 491], \"label\": \"carrot\"},\n {\"box_2d\": [628, 208, 670, 428], \"label\": \"carrot\"},\n {\"box_2d\": [481, 209, 623, 353], \"label\": \"carrot\"},\n {\"box_2d\": [497, 108, 634, 236], \"label\": \"carrot\"},\n {\"box_2d\": [355, 95, 494, 258], \"label\": \"carrot\"},\n {\"box_2d\": [373, 183, 505, 288], \"label\": \"carrot\"},\n {\"box_2d\": [488, 616, 567, 806], \"label\": \"carrot\"},\n {\"box_2d\": [573, 527, 609, 723], \"label\": \"carrot\"},\n {\"box_2d\": [608, 559, 642, 723], \"label\": \"carrot\"},\n {\"box_2d\": [628, 525, 686, 769], \"label\": \"carrot\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 2957, "elapsed_seconds": 24.658150541014038, "metadata": {"match_method": "map", "num_predictions": 28, "num_ground_truth": 28, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 24.678}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 75, "image": "egg-detection_image25_jpg.rf.5c4d3f7ce6887203cc33b5f86e849ef9.jpg", "expected": "", "predicted": "[\n {\"box_2d\": [74, 751, 145, 798], \"label\": \"egg\"},\n {\"box_2d\": [90, 798, 159, 840], \"label\": \"egg\"},\n {\"box_2d\": [114, 715, 185, 764], \"label\": \"egg\"},\n {\"box_2d\": [243, 395, 329, 454], \"label\": \"egg\"},\n {\"box_2d\": [264, 689, 350, 751], \"label\": \"egg\"},\n {\"box_2d\": [290, 811, 362, 855], \"label\": \"egg\"},\n {\"box_2d\": [325, 660, 403, 712], \"label\": \"egg\"},\n {\"box_2d\": [374, 581, 466, 632], \"label\": \"egg\"},\n {\"box_2d\": [399, 809, 473, 854], \"label\": \"egg\"},\n {\"box_2d\": [493, 444, 580, 505], \"label\": \"egg\"},\n {\"box_2d\": [563, 521, 647, 579], \"label\": \"egg\"},\n {\"box_2d\": [616, 485, 720, 533], \"label\": \"egg\"},\n {\"box_2d\": [684, 431, 761, 488], \"label\": \"egg\"},\n {\"box_2d\": [855, 600, 932, 654], \"label\": \"egg\"},\n {\"box_2d\": [847, 677, 921, 731], \"label\": \"egg\"},\n {\"box_2d\": [889, 710, 962, 756], \"label\": \"egg\"},\n {\"box_2d\": [836, 745, 904, 789], \"label\": \"egg\"}\n]", "correct": true, "input_tokens": 1236, "output_tokens": 1673, "elapsed_seconds": 21.909260167041793, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 17, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 21.9926}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 76, "image": "94D76C4A-9650-486B-8278-406A692F552F_jpg.rf.441749660b1bde146bfdbfa517d4e058.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [731, 205, 779, 249], \"label\": \"pill\"},\n {\"box_2d\": [614, 344, 661, 390], \"label\": \"pill\"},\n {\"box_2d\": [602, 658, 650, 706], \"label\": \"pill\"},\n {\"box_2d\": [525, 302, 572, 348], \"label\": \"pill\"},\n {\"box_2d\": [512, 404, 559, 450], \"label\": \"pill\"},\n {\"box_2d\": [498, 485, 545, 532], \"label\": \"pill\"},\n {\"box_2d\": [486, 574, 532, 621], \"label\": \"pill\"},\n {\"box_2d\": [496, 633, 542, 680], \"label\": \"pill\"},\n {\"box_2d\": [455, 676, 501, 723], \"label\": \"pill\"},\n {\"box_2d\": [445, 586, 491, 632], \"label\": \"pill\"},\n {\"box_2d\": [452, 517, 498, 563], \"label\": \"pill\"},\n {\"box_2d\": [423, 550, 469, 595], \"label\": \"pill\"},\n {\"box_2d\": [409, 509, 454, 555], \"label\": \"pill\"},\n {\"box_2d\": [415, 425, 461, 471], \"label\": \"pill\"},\n {\"box_2d\": [385, 455, 430, 501], \"label\": \"pill\"},\n {\"box_2d\": [361, 498, 407, 543], \"label\": \"pill\"},\n {\"box_2d\": [360, 541, 406, 587], \"label\": \"pill\"},\n {\"box_2d\": [386, 579, 432, 625], \"label\": \"pill\"},\n {\"box_2d\": [387, 625, 433, 672], \"label\": \"pill\"},\n {\"box_2d\": [407, 668, 455, 715], \"label\": \"pill\"},\n {\"box_2d\": [361, 708, 408, 756], \"label\": \"pill\"},\n {\"box_2d\": [342, 640, 389, 686], \"label\": \"pill\"},\n {\"box_2d\": [299, 661, 346, 707], \"label\": \"pill\"},\n {\"box_2d\": [318, 591, 364, 637], \"label\": \"pill\"},\n {\"box_2d\": [269, 606, 315, 651], \"label\": \"pill\"},\n {\"box_2d\": [263, 561, 309, 606], \"label\": \"pill\"},\n {\"box_2d\": [321, 519, 367, 564], \"label\": \"pill\"},\n {\"box_2d\": [309, 475, 355, 520], \"label\": \"pill\"},\n {\"box_2d\": [321, 434, 368, 479], \"label\": \"pill\"},\n {\"box_2d\": [269, 461, 314, 506], \"label\": \"pill\"},\n {\"box_2d\": [235, 435, 281, 480], \"label\": \"pill\"},\n {\"box_2d\": [194, 358, 240, 404], \"label\": \"pill\"},\n {\"box_2d\": [189, 413, 234, 459], \"label\": \"pill\"},\n {\"box_2d\": [181, 489, 227, 535], \"label\": \"pill\"},\n {\"box_2d\": [163, 577, 208, 622], \"label\": \"pill\"},\n {\"box_2d\": [166, 622, 211, 668], \"label\": \"pill\"},\n {\"box_2d\": [198, 661, 244, 708], \"label\": \"pill\"},\n {\"box_2d\": [345, 274, 391, 321], \"label\": \"pill\"},\n {\"box_2d\": [364, 339, 408, 384], \"label\": \"pill\"},\n {\"box_2d\": [386, 301, 431, 346], \"label\": \"pill\"},\n {\"box_2d\": [404, 360, 450, 406], \"label\": \"pill\"},\n {\"box_2d\": [427, 285, 472, 331], \"label\": \"pill\"},\n {\"box_2d\": [432, 238, 478, 283], \"label\": \"pill\"},\n {\"box_2d\": [469, 280, 514, 326], \"label\": \"pill\"},\n {\"box_2d\": [468, 330, 514, 376], \"label\": \"pill\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 4023, "elapsed_seconds": 32.411714916001074, "metadata": {"match_method": "map", "num_predictions": 45, "num_ground_truth": 45, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 32.7291}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 77, "image": "IMG_3989_JPG.rf.c4cc3b74f996b28db8e9373b455775a3.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [414, 412, 449, 430], \"label\": \"face\"},\n {\"box_2d\": [303, 381, 330, 395], \"label\": \"face\"},\n {\"box_2d\": [301, 331, 327, 345], \"label\": \"face\"},\n {\"box_2d\": [399, 598, 422, 611], \"label\": \"face\"},\n {\"box_2d\": [406, 620, 429, 634], \"label\": \"face\"},\n {\"box_2d\": [269, 459, 290, 471], \"label\": \"face\"},\n {\"box_2d\": [205, 310, 226, 322], \"label\": \"face\"},\n {\"box_2d\": [213, 336, 234, 347], \"label\": \"face\"},\n {\"box_2d\": [200, 276, 222, 288], \"label\": \"face\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 1987, "elapsed_seconds": 21.187013208982535, "metadata": {"match_method": "map", "num_predictions": 9, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6457645893096924, "attempts": 1, "retries": 0, "total_seconds": 21.4933}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 78, "image": "basketball-player-detection_boston-celtics-new-york-knicks-game-4-q1-01-22-01-16-0112_png.rf.813de841eef35ee5de0aa209e2d3e51f.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [220, 224, 253, 245], \"label\": \"basketball\"},\n {\"box_2d\": [298, 177, 597, 228], \"label\": \"player taking jump shot\"},\n {\"box_2d\": [298, 177, 597, 228], \"label\": \"player\"},\n {\"box_2d\": [302, 217, 581, 319], \"label\": \"player\"},\n {\"box_2d\": [608, 251, 880, 315], \"label\": \"player\"},\n {\"box_2d\": [515, 400, 769, 452], \"label\": \"player\"},\n {\"box_2d\": [292, 353, 491, 409], \"label\": \"player\"},\n {\"box_2d\": [229, 305, 411, 359], \"label\": \"player\"},\n {\"box_2d\": [280, 593, 463, 636], \"label\": \"player\"},\n {\"box_2d\": [218, 611, 369, 646], \"label\": \"player\"},\n {\"box_2d\": [513, 720, 728, 788], \"label\": \"player\"},\n {\"box_2d\": [628, 820, 822, 871], \"label\": \"player\"},\n {\"box_2d\": [245, 0, 434, 46], \"label\": \"referee\"},\n {\"box_2d\": [686, 576, 868, 623], \"label\": \"referee\"},\n {\"box_2d\": [269, 767, 461, 801], \"label\": \"referee\"},\n {\"box_2d\": [224, 713, 286, 755], \"label\": \"basket rim\"},\n {\"box_2d\": [407, 181, 434, 189], \"label\": \"jersey number\"},\n {\"box_2d\": [395, 263, 417, 279], \"label\": \"jersey number\"},\n {\"box_2d\": [678, 278, 707, 290], \"label\": \"jersey number\"},\n {\"box_2d\": [331, 378, 357, 389], \"label\": \"jersey number\"},\n {\"box_2d\": [555, 429, 583, 444], \"label\": \"jersey number\"},\n {\"box_2d\": [567, 752, 591, 763], \"label\": \"jersey number\"},\n {\"box_2d\": [692, 839, 722, 854], \"label\": \"jersey number\"},\n {\"box_2d\": [277, 626, 296, 634], \"label\": \"jersey number\"},\n {\"box_2d\": [742, 596, 767, 610], \"label\": \"jersey number\"}\n]\n```", "correct": false, "input_tokens": 1251, "output_tokens": 2409, "elapsed_seconds": 22.0710839999374, "metadata": {"match_method": "map", "num_predictions": 25, "num_ground_truth": 25, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7836633324623108, "attempts": 1, "retries": 0, "total_seconds": 22.1592}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 79, "image": "Screenshot-2024-05-16-150258_png.rf.730fbfcbd2cdbb24d8003d2a2cd88782.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [63, 14, 94, 45], \"label\": \"bullet hole\"},\n {\"box_2d\": [111, 102, 141, 134], \"label\": \"bullet hole\"},\n {\"box_2d\": [169, 192, 200, 226], \"label\": \"bullet hole\"},\n {\"box_2d\": [182, 344, 213, 378], \"label\": \"bullet hole\"},\n {\"box_2d\": [250, 480, 279, 511], \"label\": \"bullet hole\"},\n {\"box_2d\": [334, 0, 365, 25], \"label\": \"bullet hole\"},\n {\"box_2d\": [437, 223, 469, 254], \"label\": \"bullet hole\"},\n {\"box_2d\": [699, 415, 731, 450], \"label\": \"bullet hole\"},\n {\"box_2d\": [877, 353, 906, 389], \"label\": \"bullet hole\"},\n {\"box_2d\": [983, 184, 1000, 216], \"label\": \"bullet hole\"},\n {\"box_2d\": [900, 610, 931, 643], \"label\": \"bullet hole\"},\n {\"box_2d\": [659, 684, 691, 717], \"label\": \"bullet hole\"},\n {\"box_2d\": [719, 894, 753, 929], \"label\": \"bullet hole\"},\n {\"box_2d\": [818, 847, 848, 880], \"label\": \"bullet hole\"},\n {\"box_2d\": [830, 928, 862, 962], \"label\": \"bullet hole\"},\n {\"box_2d\": [918, 919, 948, 954], \"label\": \"bullet hole\"},\n {\"box_2d\": [0, 608, 25, 640], \"label\": \"bullet hole\"},\n {\"box_2d\": [57, 767, 89, 800], \"label\": \"bullet hole\"},\n {\"box_2d\": [107, 896, 137, 927], \"label\": \"bullet hole\"},\n {\"box_2d\": [141, 814, 174, 849], \"label\": \"bullet hole\"},\n {\"box_2d\": [157, 684, 191, 717], \"label\": \"bullet hole\"},\n {\"box_2d\": [235, 739, 272, 775], \"label\": \"bullet hole\"},\n {\"box_2d\": [232, 904, 268, 942], \"label\": \"bullet hole\"},\n {\"box_2d\": [326, 799, 360, 837], \"label\": \"bullet hole\"},\n {\"box_2d\": [349, 976, 383, 1000], \"label\": \"bullet hole\"},\n {\"box_2d\": [397, 725, 430, 763], \"label\": \"bullet hole\"},\n {\"box_2d\": [433, 619, 466, 656], \"label\": \"bullet hole\"},\n {\"box_2d\": [484, 695, 518, 735], \"label\": \"bullet hole\"},\n {\"box_2d\": [452, 819, 483, 854], \"label\": \"bullet hole\"},\n {\"box_2d\": [527, 789, 558, 830], \"label\": \"bullet hole\"}\n]\n```", "correct": false, "input_tokens": 1226, "output_tokens": 3245, "elapsed_seconds": 27.252375624957494, "metadata": {"match_method": "map", "num_predictions": 30, "num_ground_truth": 30, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.555940568447113, "attempts": 1, "retries": 0, "total_seconds": 27.2691}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 80, "image": "AF6880-9_2025_NCPT-128_JPG_jpg.rf.58feab8edece278692e9ee124939da54.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [221, 196, 297, 224], \"label\": \"potato\"},\n {\"box_2d\": [436, 193, 505, 222], \"label\": \"potato\"},\n {\"box_2d\": [506, 194, 572, 224], \"label\": \"potato\"},\n {\"box_2d\": [571, 189, 641, 223], \"label\": \"potato\"},\n {\"box_2d\": [642, 183, 731, 224], \"label\": \"potato\"},\n {\"box_2d\": [731, 189, 845, 233], \"label\": \"potato\"},\n {\"box_2d\": [34, 249, 85, 269], \"label\": \"potato\"},\n {\"box_2d\": [264, 242, 350, 267], \"label\": \"potato\"},\n {\"box_2d\": [416, 231, 517, 271], \"label\": \"potato\"},\n {\"box_2d\": [571, 229, 651, 268], \"label\": \"potato\"},\n {\"box_2d\": [904, 223, 1000, 267], \"label\": \"potato\"},\n {\"box_2d\": [152, 284, 241, 318], \"label\": \"potato\"},\n {\"box_2d\": [305, 279, 381, 309], \"label\": \"potato\"},\n {\"box_2d\": [378, 274, 468, 316], \"label\": \"potato\"},\n {\"box_2d\": [494, 273, 586, 311], \"label\": \"potato\"},\n {\"box_2d\": [582, 281, 640, 309], \"label\": \"potato\"},\n {\"box_2d\": [639, 273, 725, 311], \"label\": \"potato\"},\n {\"box_2d\": [853, 270, 970, 318], \"label\": \"potato\"},\n {\"box_2d\": [8, 321, 93, 359], \"label\": \"potato\"},\n {\"box_2d\": [91, 324, 169, 358], \"label\": \"potato\"},\n {\"box_2d\": [168, 326, 244, 357], \"label\": \"potato\"},\n {\"box_2d\": [241, 327, 338, 360], \"label\": \"potato\"},\n {\"box_2d\": [333, 310, 456, 359], \"label\": \"potato\"},\n {\"box_2d\": [504, 315, 597, 360], \"label\": \"potato\"},\n {\"box_2d\": [603, 316, 721, 364], \"label\": \"potato\"},\n {\"box_2d\": [713, 316, 795, 351], \"label\": \"potato\"},\n {\"box_2d\": [794, 319, 902, 363], \"label\": \"potato\"},\n {\"box_2d\": [909, 321, 987, 352], \"label\": \"potato\"},\n {\"box_2d\": [29, 376, 82, 400], \"label\": \"potato\"},\n {\"box_2d\": [78, 367, 173, 407], \"label\": \"potato\"},\n {\"box_2d\": [170, 356, 294, 407], \"label\": \"potato\"},\n {\"box_2d\": [318, 358, 421, 406], \"label\": \"potato\"},\n {\"box_2d\": [421, 350, 527, 402], \"label\": \"potato\"},\n {\"box_2d\": [527, 365, 613, 404], \"label\": \"potato\"},\n {\"box_2d\": [728, 364, 845, 401], \"label\": \"potato\"},\n {\"box_2d\": [837, 368, 901, 391], \"label\": \"potato\"},\n {\"box_2d\": [10, 424, 38, 442], \"label\": \"potato\"},\n {\"box_2d\": [31, 408, 152, 457], \"label\": \"potato\"},\n {\"box_2d\": [153, 407, 265, 447], \"label\": \"potato\"},\n {\"box_2d\": [279, 419, 318, 439], \"label\": \"potato\"},\n {\"box_2d\": [312, 409, 405, 445], \"label\": \"potato\"},\n {\"box_2d\": [440, 406, 550, 453], \"label\": \"potato\"},\n {\"box_2d\": [665, 404, 783, 449], \"label\": \"potato\"},\n {\"box_2d\": [780, 410, 842, 436], \"label\": \"potato\"},\n {\"box_2d\": [839, 409, 927, 441], \"label\": \"potato\"},\n {\"box_2d\": [72, 466, 113, 487], \"label\": \"potato\"},\n {\"box_2d\": [108, 455, 200, 490], \"label\": \"potato\"},\n {\"box_2d\": [265, 450, 366, 492], \"label\": \"potato\"},\n {\"box_2d\": [406, 447, 511, 491], \"label\": \"potato\"},\n {\"box_2d\": [507, 451, 581, 487], \"label\": \"potato\"},\n {\"box_2d\": [580, 451, 687, 495], \"label\": \"potato\"},\n {\"box_2d\": [686, 447, 791, 489], \"label\": \"potato\"},\n {\"box_2d\": [825, 446, 924, 486], \"label\": \"potato\"},\n {\"box_2d\": [931, 451, 1000, 485], \"label\": \"potato\"},\n {\"box_2d\": [39, 503, 126, 538], \"label\": \"potato\"},\n {\"box_2d\": [124, 499, 217, 541], \"label\": \"potato\"},\n {\"box_2d\": [258, 503, 344, 539], \"label\": \"potato\"},\n {\"box_2d\": [362, 495, 468, 535], \"label\": \"potato\"},\n {\"box_2d\": [468, 499, 555, 533], \"label\": \"potato\"},\n {\"box_2d\": [558, 496, 642, 528], \"label\": \"potato\"},\n {\"box_2d\": [842, 485, 952, 532], \"label\": \"potato\"},\n {\"box_2d\": [0, 539, 114, 591], \"label\": \"potato\"},\n {\"box_2d\": [110, 542, 221, 591], \"label\": \"potato\"},\n {\"box_2d\": [213, 548, 290, 578], \"label\": \"potato\"},\n {\"box_2d\": [288, 545, 374, 578], \"label\": \"potato\"},\n {\"box_2d\": [391, 541, 492, 578], \"label\": \"potato\"},\n {\"box_2d\": [495, 532, 616, 576], \"label\": \"potato\"},\n {\"box_2d\": [688, 539, 796, 583], \"label\": \"potato\"},\n {\"box_2d\": [4, 589, 110, 634], \"label\": \"potato\"},\n {\"box_2d\": [122, 588, 223, 632], \"label\": \"potato\"},\n {\"box_2d\": [401, 587, 505, 623], \"label\": \"potato\"},\n {\"box_2d\": [886, 584, 970, 612], \"label\": \"potato\"},\n {\"box_2d\": [39, 630, 140, 669], \"label\": \"potato\"},\n {\"box_2d\": [493, 626, 599, 661], \"label\": \"potato\"},\n {\"box_2d\": [609, 630, 714, 665], \"label\": \"potato\"},\n {\"box_2d\": [215, 670, 333, 717], \"label\": \"potato\"},\n {\"box_2d\": [510, 679, 571, 702], \"label\": \"potato\"},\n {\"box_2d\": [773, 675, 837, 697], \"label\": \"potato\"},\n {\"box_2d\": [94, 722, 160, 750], \"label\": \"potato\"},\n {\"box_2d\": [211, 720, 305, 756], \"label\": \"potato\"},\n {\"box_2d\": [480, 708, 580, 747], \"label\": \"potato\"},\n {\"box_2d\": [117, 761, 237, 811], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 5277, "elapsed_seconds": 46.47542912501376, "metadata": {"match_method": "map", "num_predictions": 82, "num_ground_truth": 82, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 46.9511}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 81, "image": "GP010253_JPG_jpg.rf.617173565602dbb2684e6af5ddab9032.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [50, 540, 178, 868], \"label\": \"carrot\"},\n {\"box_2d\": [138, 560, 205, 858], \"label\": \"carrot\"},\n {\"box_2d\": [158, 405, 267, 696], \"label\": \"carrot\"},\n {\"box_2d\": [184, 412, 305, 709], \"label\": \"carrot\"},\n {\"box_2d\": [178, 355, 356, 496], \"label\": \"carrot\"},\n {\"box_2d\": [189, 396, 330, 514], \"label\": \"carrot\"},\n {\"box_2d\": [194, 725, 294, 864], \"label\": \"carrot\"},\n {\"box_2d\": [278, 381, 467, 568], \"label\": \"carrot\"},\n {\"box_2d\": [286, 511, 406, 777], \"label\": \"carrot\"},\n {\"box_2d\": [304, 487, 461, 789], \"label\": \"carrot\"},\n {\"box_2d\": [312, 608, 439, 800], \"label\": \"carrot\"},\n {\"box_2d\": [448, 305, 636, 372], \"label\": \"carrot\"},\n {\"box_2d\": [481, 350, 558, 560], \"label\": \"carrot\"},\n {\"box_2d\": [484, 431, 665, 526], \"label\": \"carrot\"},\n {\"box_2d\": [512, 437, 765, 496], \"label\": \"carrot\"},\n {\"box_2d\": [568, 520, 789, 571], \"label\": \"carrot\"},\n {\"box_2d\": [456, 544, 735, 626], \"label\": \"carrot\"},\n {\"box_2d\": [558, 610, 811, 654], \"label\": \"carrot\"},\n {\"box_2d\": [636, 627, 840, 716], \"label\": \"carrot\"},\n {\"box_2d\": [547, 687, 814, 756], \"label\": \"carrot\"},\n {\"box_2d\": [413, 726, 644, 800], \"label\": \"carrot\"},\n {\"box_2d\": [726, 695, 886, 868], \"label\": \"carrot\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 1697, "elapsed_seconds": 18.202688041958027, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 18.2303}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 82, "image": "1704195139272_jpg.rf.6a6621507dbbf3a3fbb417d17569c709.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [84, 659, 127, 709], \"label\": \"lentil grain\"},\n {\"box_2d\": [216, 342, 256, 384], \"label\": \"lentil grain\"},\n {\"box_2d\": [219, 567, 263, 616], \"label\": \"lentil grain\"},\n {\"box_2d\": [393, 377, 434, 420], \"label\": \"lentil grain\"},\n {\"box_2d\": [409, 562, 449, 608], \"label\": \"lentil grain\"},\n {\"box_2d\": [407, 617, 446, 661], \"label\": \"lentil grain\"},\n {\"box_2d\": [542, 420, 579, 463], \"label\": \"lentil grain\"},\n {\"box_2d\": [672, 608, 712, 656], \"label\": \"lentil grain\"},\n {\"box_2d\": [739, 388, 777, 430], \"label\": \"lentil grain\"},\n {\"box_2d\": [743, 728, 785, 780], \"label\": \"lentil grain\"},\n {\"box_2d\": [901, 401, 942, 447], \"label\": \"lentil grain\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 1289, "elapsed_seconds": 11.462206041906029, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 11.4782}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 83, "image": "preannot1_326_png.rf.9e036dcc9355b37dec6ff1b3aff71d0b.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [67, 621, 76, 635], \"label\": \"tire spike normal\"},\n {\"box_2d\": [107, 360, 117, 374], \"label\": \"tire spike normal\"},\n {\"box_2d\": [143, 330, 152, 344], \"label\": \"tire spike normal\"},\n {\"box_2d\": [169, 545, 180, 560], \"label\": \"tire spike normal\"},\n {\"box_2d\": [185, 618, 196, 634], \"label\": \"tire spike normal\"},\n {\"box_2d\": [214, 440, 224, 455], \"label\": \"tire spike normal\"},\n {\"box_2d\": [227, 666, 239, 683], \"label\": \"tire spike normal\"},\n {\"box_2d\": [231, 365, 243, 381], \"label\": \"tire spike normal\"},\n {\"box_2d\": [273, 316, 286, 334], \"label\": \"tire spike normal\"},\n {\"box_2d\": [281, 621, 294, 639], \"label\": \"tire spike normal\"},\n {\"box_2d\": [325, 660, 338, 678], \"label\": \"tire spike normal\"},\n {\"box_2d\": [331, 357, 346, 376], \"label\": \"tire spike normal\"},\n {\"box_2d\": [387, 632, 402, 653], \"label\": \"tire spike normal\"},\n {\"box_2d\": [426, 436, 442, 458], \"label\": \"tire spike normal\"},\n {\"box_2d\": [440, 330, 453, 349], \"label\": \"tire spike normal\"},\n {\"box_2d\": [492, 325, 506, 345], \"label\": \"tire spike normal\"},\n {\"box_2d\": [506, 625, 520, 643], \"label\": \"tire spike normal\"},\n {\"box_2d\": [559, 365, 574, 385], \"label\": \"tire spike normal\"},\n {\"box_2d\": [600, 550, 614, 569], \"label\": \"tire spike normal\"},\n {\"box_2d\": [611, 331, 625, 350], \"label\": \"tire spike normal\"},\n {\"box_2d\": [612, 642, 626, 662], \"label\": \"tire spike normal\"},\n {\"box_2d\": [664, 677, 677, 695], \"label\": \"tire spike normal\"},\n {\"box_2d\": [713, 428, 725, 446], \"label\": \"tire spike normal\"},\n {\"box_2d\": [727, 650, 740, 668], \"label\": \"tire spike normal\"},\n {\"box_2d\": [739, 369, 751, 387], \"label\": \"tire spike normal\"},\n {\"box_2d\": [777, 321, 789, 337], \"label\": \"tire spike normal\"},\n {\"box_2d\": [778, 678, 790, 694], \"label\": \"tire spike normal\"},\n {\"box_2d\": [835, 631, 846, 648], \"label\": \"tire spike normal\"},\n {\"box_2d\": [863, 452, 874, 467], \"label\": \"tire spike normal\"},\n {\"box_2d\": [876, 382, 886, 398], \"label\": \"tire spike normal\"},\n {\"box_2d\": [897, 671, 907, 686], \"label\": \"tire spike normal\"},\n {\"box_2d\": [901, 350, 910, 364], \"label\": \"tire spike normal\"}\n]\n```", "correct": false, "input_tokens": 1202, "output_tokens": 2914, "elapsed_seconds": 22.99991766596213, "metadata": {"match_method": "map", "num_predictions": 32, "num_ground_truth": 42, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.650271475315094, "attempts": 1, "retries": 0, "total_seconds": 23.084}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 84, "image": "fall-detection_cameraOne-blue-before_mp4-10_jpg.rf.e26a811f1502cc342db7badfe48642d4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [581, 548, 726, 728], \"label\": \"fallen person\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 332, "elapsed_seconds": 5.845255000051111, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 5.8568}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 85, "image": "IMG_3898_JPG.rf.7efec82c7f803d0db60f9543524df2d2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [330, 81, 421, 223], \"label\": \"100 poker chip\"},\n {\"box_2d\": [308, 220, 396, 360], \"label\": \"500 poker chip\"},\n {\"box_2d\": [364, 314, 460, 459], \"label\": \"10 poker chip\"},\n {\"box_2d\": [380, 456, 479, 602], \"label\": \"5 poker chip\"},\n {\"box_2d\": [303, 611, 395, 755], \"label\": \"100 poker chip\"},\n {\"box_2d\": [355, 733, 451, 882], \"label\": \"100 poker chip\"},\n {\"box_2d\": [395, 604, 495, 756], \"label\": \"500 poker chip\"},\n {\"box_2d\": [414, 146, 514, 297], \"label\": \"50 poker chip\"},\n {\"box_2d\": [487, 237, 596, 395], \"label\": \"20 poker chip\"},\n {\"box_2d\": [465, 392, 574, 546], \"label\": \"50 poker chip\"},\n {\"box_2d\": [493, 607, 605, 767], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [596, 211, 720, 381], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [551, 474, 672, 638], \"label\": \"50 poker chip\"},\n {\"box_2d\": [587, 703, 713, 875], \"label\": \"10000 poker chip\"},\n {\"box_2d\": [640, 361, 773, 535], \"label\": \"10 poker chip\"},\n {\"box_2d\": [681, 597, 821, 780], \"label\": \"10 poker chip\"},\n {\"box_2d\": [751, 447, 902, 633], \"label\": \"5 poker chip\"}\n]\n```", "correct": true, "input_tokens": 1252, "output_tokens": 2139, "elapsed_seconds": 24.738714166916907, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 18, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9579207897186279, "attempts": 1, "retries": 0, "total_seconds": 25.3104}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 86, "image": "2024-12-05T02-00-59-875Z-1008_jpg.rf.e6de2a9a15084a14389fc0bcc250e3a1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [223, 21, 350, 101], \"label\": \"screw\"},\n {\"box_2d\": [677, 8, 803, 90], \"label\": \"screw\"},\n {\"box_2d\": [291, 459, 379, 520], \"label\": \"screw\"},\n {\"box_2d\": [638, 932, 698, 977], \"label\": \"screw\"},\n {\"box_2d\": [743, 792, 808, 837], \"label\": \"screw\"},\n {\"box_2d\": [642, 826, 799, 942], \"label\": \"wire hole\"}\n]\n```", "correct": true, "input_tokens": 1203, "output_tokens": 1194, "elapsed_seconds": 17.451056124991737, "metadata": {"match_method": "map", "num_predictions": 6, "num_ground_truth": 6, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 17.6024}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 87, "image": "IMG_20220316_165535_jpg.rf.b4968ac9965090df369ee94c30225977.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [36, 538, 382, 797], \"label\": \"jack of diamonds\"},\n {\"box_2d\": [105, 307, 476, 591], \"label\": \"nine of diamonds\"},\n {\"box_2d\": [380, 175, 711, 479], \"label\": \"king of diamonds\"},\n {\"box_2d\": [420, 472, 822, 728], \"label\": \"queen of diamonds\"},\n {\"box_2d\": [631, 108, 974, 428], \"label\": \"ten of diamonds\"}\n]\n```", "correct": true, "input_tokens": 1218, "output_tokens": 643, "elapsed_seconds": 8.298977250000462, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 8.3247}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 88, "image": "F64FE944-4E23-4E33-ABE4-44B45EEE879E_jpg.rf.4a9fc6077618a5882fd446c7da6c295e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [175, 162, 281, 238], \"label\": \"pill\"},\n {\"box_2d\": [187, 237, 290, 315], \"label\": \"pill\"},\n {\"box_2d\": [137, 296, 249, 353], \"label\": \"pill\"},\n {\"box_2d\": [183, 390, 285, 474], \"label\": \"pill\"},\n {\"box_2d\": [169, 524, 277, 598], \"label\": \"pill\"},\n {\"box_2d\": [288, 153, 394, 210], \"label\": \"pill\"},\n {\"box_2d\": [275, 207, 383, 271], \"label\": \"pill\"},\n {\"box_2d\": [243, 326, 324, 428], \"label\": \"pill\"},\n {\"box_2d\": [287, 288, 381, 384], \"label\": \"pill\"},\n {\"box_2d\": [285, 417, 390, 490], \"label\": \"pill\"},\n {\"box_2d\": [260, 487, 369, 548], \"label\": \"pill\"},\n {\"box_2d\": [300, 692, 387, 795], \"label\": \"pill\"},\n {\"box_2d\": [370, 840, 480, 901], \"label\": \"pill\"},\n {\"box_2d\": [380, 187, 485, 251], \"label\": \"pill\"},\n {\"box_2d\": [348, 240, 447, 323], \"label\": \"pill\"},\n {\"box_2d\": [387, 275, 481, 364], \"label\": \"pill\"},\n {\"box_2d\": [359, 370, 458, 452], \"label\": \"pill\"},\n {\"box_2d\": [355, 560, 463, 620], \"label\": \"pill\"},\n {\"box_2d\": [363, 620, 471, 681], \"label\": \"pill\"},\n {\"box_2d\": [431, 667, 518, 767], \"label\": \"pill\"},\n {\"box_2d\": [432, 128, 522, 222], \"label\": \"pill\"},\n {\"box_2d\": [513, 127, 591, 229], \"label\": \"pill\"},\n {\"box_2d\": [478, 255, 583, 316], \"label\": \"pill\"},\n {\"box_2d\": [477, 311, 582, 371], \"label\": \"pill\"},\n {\"box_2d\": [456, 375, 550, 460], \"label\": \"pill\"},\n {\"box_2d\": [445, 503, 516, 608], \"label\": \"pill\"},\n {\"box_2d\": [487, 467, 556, 571], \"label\": \"pill\"},\n {\"box_2d\": [507, 634, 613, 697], \"label\": \"pill\"},\n {\"box_2d\": [555, 696, 612, 807], \"label\": \"pill\"},\n {\"box_2d\": [549, 391, 612, 497], \"label\": \"pill\"},\n {\"box_2d\": [532, 522, 617, 619], \"label\": \"pill\"},\n {\"box_2d\": [576, 591, 669, 682], \"label\": \"pill\"},\n {\"box_2d\": [590, 179, 673, 276], \"label\": \"pill\"},\n {\"box_2d\": [591, 289, 643, 397], \"label\": \"pill\"},\n {\"box_2d\": [638, 271, 675, 379], \"label\": \"pill\"},\n {\"box_2d\": [735, 95, 797, 198], \"label\": \"pill\"},\n {\"box_2d\": [682, 162, 780, 245], \"label\": \"pill\"},\n {\"box_2d\": [680, 217, 747, 322], \"label\": \"pill\"},\n {\"box_2d\": [724, 298, 789, 405], \"label\": \"pill\"},\n {\"box_2d\": [663, 358, 749, 455], \"label\": \"pill\"},\n {\"box_2d\": [597, 458, 676, 559], \"label\": \"pill\"},\n {\"box_2d\": [630, 423, 718, 519], \"label\": \"pill\"},\n {\"box_2d\": [625, 535, 720, 621], \"label\": \"pill\"},\n {\"box_2d\": [781, 412, 839, 519], \"label\": \"pill\"},\n {\"box_2d\": [724, 467, 809, 565], \"label\": \"pill\"},\n {\"box_2d\": [718, 542, 809, 636], \"label\": \"pill\"},\n {\"box_2d\": [696, 631, 793, 722], \"label\": \"pill\"},\n {\"box_2d\": [691, 694, 784, 790], \"label\": \"pill\"},\n {\"box_2d\": [679, 755, 735, 868], \"label\": \"pill\"},\n {\"box_2d\": [797, 738, 893, 830], \"label\": \"pill\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 4402, "elapsed_seconds": 44.10105487506371, "metadata": {"match_method": "map", "num_predictions": 50, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 44.5058}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 89, "image": "20210326_152417_jpg.rf.49d888684dcb029777f91a35c5731fda.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [103, 367, 326, 591], \"label\": \"20 euro cent coin\"},\n {\"box_2d\": [200, 125, 397, 325], \"label\": \"10 euro cent coin\"},\n {\"box_2d\": [203, 646, 444, 891], \"label\": \"50 euro cent coin\"},\n {\"box_2d\": [379, 396, 610, 628], \"label\": \"1 euro coin\"},\n {\"box_2d\": [420, 79, 626, 292], \"label\": \"5 euro cent coin\"},\n {\"box_2d\": [514, 678, 674, 839], \"label\": \"1 euro cent coin\"},\n {\"box_2d\": [654, 236, 902, 491], \"label\": \"2 euro coin\"},\n {\"box_2d\": [722, 575, 906, 761], \"label\": \"2 euro cent coin\"}\n]\n```", "correct": true, "input_tokens": 1272, "output_tokens": 1073, "elapsed_seconds": 10.193605458014645, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 10.2114}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 90, "image": "egg-detection_image33_jpg.rf.842de73d6f921d804acd1ea8a1f28413.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [465, 428, 551, 492], \"label\": \"egg\"},\n {\"box_2d\": [746, 694, 822, 753], \"label\": \"egg\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 288, "elapsed_seconds": 6.010675958008505, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 6.1092}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 91, "image": "uav20221018_ixfZ_3857_215_png.rf.8020e1329eefd7e68bf3f7c0394e8bdf.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [10, 684, 59, 730], \"label\": \"banana tree\"},\n {\"box_2d\": [53, 746, 98, 789], \"label\": \"banana tree\"},\n {\"box_2d\": [87, 686, 134, 730], \"label\": \"banana tree\"},\n {\"box_2d\": [118, 746, 175, 792], \"label\": \"banana tree\"},\n {\"box_2d\": [156, 693, 211, 743], \"label\": \"banana tree\"},\n {\"box_2d\": [193, 746, 239, 791], \"label\": \"banana tree\"},\n {\"box_2d\": [228, 688, 281, 736], \"label\": \"banana tree\"},\n {\"box_2d\": [264, 754, 314, 792], \"label\": \"banana tree\"},\n {\"box_2d\": [297, 692, 349, 747], \"label\": \"banana tree\"},\n {\"box_2d\": [340, 761, 381, 799], \"label\": \"banana tree\"},\n {\"box_2d\": [369, 700, 415, 741], \"label\": \"banana tree\"},\n {\"box_2d\": [403, 758, 452, 804], \"label\": \"banana tree\"},\n {\"box_2d\": [481, 769, 526, 805], \"label\": \"banana tree\"},\n {\"box_2d\": [519, 718, 560, 751], \"label\": \"banana tree\"},\n {\"box_2d\": [551, 770, 594, 808], \"label\": \"banana tree\"},\n {\"box_2d\": [618, 767, 665, 808], \"label\": \"banana tree\"},\n {\"box_2d\": [656, 718, 697, 754], \"label\": \"banana tree\"},\n {\"box_2d\": [692, 775, 739, 813], \"label\": \"banana tree\"},\n {\"box_2d\": [731, 720, 770, 755], \"label\": \"banana tree\"},\n {\"box_2d\": [768, 780, 798, 810], \"label\": \"banana tree\"},\n {\"box_2d\": [792, 716, 840, 767], \"label\": \"banana tree\"},\n {\"box_2d\": [834, 779, 872, 815], \"label\": \"banana tree\"},\n {\"box_2d\": [867, 723, 916, 768], \"label\": \"banana tree\"},\n {\"box_2d\": [905, 785, 944, 822], \"label\": \"banana tree\"},\n {\"box_2d\": [935, 729, 978, 769], \"label\": \"banana tree\"},\n {\"box_2d\": [974, 791, 1000, 822], \"label\": \"banana tree\"},\n {\"box_2d\": [43, 939, 107, 996], \"label\": \"banana tree\"},\n {\"box_2d\": [111, 944, 170, 998], \"label\": \"banana tree\"},\n {\"box_2d\": [182, 946, 235, 993], \"label\": \"banana tree\"},\n {\"box_2d\": [248, 945, 297, 995], \"label\": \"banana tree\"},\n {\"box_2d\": [318, 947, 376, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [448, 954, 507, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [592, 954, 646, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [662, 964, 709, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [732, 966, 778, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [797, 969, 845, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [872, 974, 916, 1000], \"label\": \"banana tree\"}\n]\n```", "correct": false, "input_tokens": 1226, "output_tokens": 3546, "elapsed_seconds": 32.04262399999425, "metadata": {"match_method": "map", "num_predictions": 37, "num_ground_truth": 41, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7109535336494446, "attempts": 1, "retries": 0, "total_seconds": 32.1253}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 92, "image": "DJI_0151_JPG_jpg.rf.3936c799be65e9829061aeb413261c06.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [477, 342, 681, 408], \"label\": \"excavator\"},\n {\"box_2d\": [0, 631, 494, 709], \"label\": \"tower crane\"},\n {\"box_2d\": [160, 336, 213, 391], \"label\": \"dump truck\"},\n {\"box_2d\": [157, 428, 213, 487], \"label\": \"concrete mixer\"},\n {\"box_2d\": [125, 61, 170, 128], \"label\": \"concrete mixer\"}\n]\n```", "correct": true, "input_tokens": 1245, "output_tokens": 859, "elapsed_seconds": 16.629928041016683, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 16.9958}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 93, "image": "55_jpeg_jpg.rf.004155dfb8cf69dfe8eec1fad7b643e0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [64, 321, 185, 434], \"label\": \"potato\"},\n {\"box_2d\": [61, 912, 179, 1000], \"label\": \"potato\"},\n {\"box_2d\": [245, 804, 386, 911], \"label\": \"potato\"},\n {\"box_2d\": [475, 519, 620, 636], \"label\": \"potato\"},\n {\"box_2d\": [478, 648, 581, 749], \"label\": \"potato\"},\n {\"box_2d\": [478, 808, 574, 910], \"label\": \"potato\"},\n {\"box_2d\": [450, 960, 550, 1000], \"label\": \"potato\"},\n {\"box_2d\": [713, 0, 799, 99], \"label\": \"potato\"},\n {\"box_2d\": [693, 350, 848, 433], \"label\": \"potato\"},\n {\"box_2d\": [704, 585, 801, 681], \"label\": \"potato\"},\n {\"box_2d\": [678, 840, 781, 920], \"label\": \"potato\"},\n {\"box_2d\": [901, 369, 991, 458], \"label\": \"potato\"},\n {\"box_2d\": [883, 617, 984, 718], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1240, "output_tokens": 1565, "elapsed_seconds": 15.286178832990117, "metadata": {"match_method": "map", "num_predictions": 13, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8118811845779419, "attempts": 1, "retries": 0, "total_seconds": 15.3141}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 94, "image": "2024-12-05T02-01-39-892Z-3009_jpg.rf.22fd37099b783ab1f80e4172f8bb073a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [555, 310, 676, 412], \"label\": \"retaining clip\"},\n {\"box_2d\": [464, 494, 593, 585], \"label\": \"retaining clip\"},\n {\"box_2d\": [368, 671, 486, 766], \"label\": \"retaining clip\"},\n {\"box_2d\": [648, 635, 780, 738], \"label\": \"retaining clip\"}\n]\n```", "correct": true, "input_tokens": 1201, "output_tokens": 917, "elapsed_seconds": 11.877230291021988, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 12.0762}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 95, "image": "IMG_20251126_160341_jpg.rf.90a2111f9611ba9b2da6fb1312d0ef72.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [692, 108, 795, 179], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [690, 206, 791, 277], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [682, 297, 783, 368], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [678, 386, 777, 456], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [648, 492, 938, 563], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [663, 587, 767, 658], \"label\": \"white standard price tag\"},\n {\"box_2d\": [663, 700, 759, 771], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [656, 830, 752, 902], \"label\": \"white standard price tag\"},\n {\"box_2d\": [654, 922, 749, 994], \"label\": \"yellow standard price tag\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 1118, "elapsed_seconds": 21.30501299991738, "metadata": {"match_method": "map", "num_predictions": 9, "num_ground_truth": 10, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8349834680557251, "attempts": 1, "retries": 0, "total_seconds": 21.5561}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 96, "image": "tile_267_jpg.rf.d3e282883cf21b5fa393f473090fd4b9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [35, 316, 286, 502], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [296, 513, 546, 705], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [605, 444, 822, 686], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [820, 152, 1000, 408], \"label\": \"ship in SAR satellite image\"}\n]\n```", "correct": true, "input_tokens": 1229, "output_tokens": 1322, "elapsed_seconds": 17.020431332988665, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 17.044}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 97, "image": "IMG_20250815_165441_jpg.rf.4c737e973da64b017b0e386f2b455f62.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [211, 180, 311, 232], \"label\": \"barcode\"},\n {\"box_2d\": [216, 444, 313, 491], \"label\": \"barcode\"},\n {\"box_2d\": [194, 630, 236, 672], \"label\": \"barcode\"},\n {\"box_2d\": [681, 66, 720, 117], \"label\": \"barcode\"},\n {\"box_2d\": [827, 255, 868, 304], \"label\": \"barcode\"},\n {\"box_2d\": [741, 551, 825, 595], \"label\": \"barcode\"},\n {\"box_2d\": [770, 706, 851, 745], \"label\": \"barcode\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 715, "elapsed_seconds": 11.222697583027184, "metadata": {"match_method": "map", "num_predictions": 7, "num_ground_truth": 7, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 11.5026}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 98, "image": "Lego_63_low_jpeg.rf.6dd24c9abacc96bac5fb5a7d9ce3f907.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [46, 196, 135, 294], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [182, 102, 269, 190], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [200, 12, 307, 105], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [98, 427, 207, 530], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [213, 350, 281, 454], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [280, 316, 340, 405], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [395, 316, 466, 429], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [497, 372, 594, 431], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [581, 253, 663, 332], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [584, 323, 669, 412], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [622, 43, 726, 141], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [764, 86, 854, 181], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [828, 266, 907, 366], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [672, 412, 767, 513], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [774, 421, 860, 533], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [470, 536, 571, 611], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [292, 579, 396, 651], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [166, 671, 265, 713], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [172, 710, 250, 762], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [57, 671, 152, 779], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [28, 751, 132, 824], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [221, 796, 307, 875], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [202, 864, 300, 940], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [445, 724, 520, 778], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [412, 788, 492, 855], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [458, 834, 534, 916], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [604, 578, 709, 662], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [710, 588, 750, 684], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [671, 672, 750, 733], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [712, 730, 797, 809], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [679, 777, 728, 874], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [743, 788, 845, 887], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [604, 906, 696, 1000], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [672, 962, 749, 1000], \"label\": \"lego 4x1 brick\"}\n]\n```", "correct": true, "input_tokens": 1244, "output_tokens": 4049, "elapsed_seconds": 34.25835729192477, "metadata": {"match_method": "map", "num_predictions": 34, "num_ground_truth": 34, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9003900289535522, "attempts": 1, "retries": 0, "total_seconds": 34.3346}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 99, "image": "frame_0085_jpg.rf.df2f77641da4fa475877d40e14103949.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [42, 138, 108, 181], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [138, 111, 206, 154], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [259, 129, 329, 175], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [375, 106, 444, 156], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [463, 105, 535, 155], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [589, 83, 673, 137], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [801, 76, 887, 131], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [23, 246, 77, 289], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [131, 229, 198, 269], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [271, 229, 342, 271], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [416, 233, 488, 281], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [678, 227, 766, 273], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [886, 211, 963, 258], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [47, 339, 111, 377], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [159, 345, 221, 381], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [315, 352, 380, 391], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [435, 355, 501, 394], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [527, 339, 597, 385], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [702, 346, 791, 390], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [847, 339, 934, 388], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [230, 427, 307, 468], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [421, 468, 486, 505], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [645, 481, 725, 521], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [863, 472, 920, 515], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [340, 551, 403, 587], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [777, 575, 850, 617], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [180, 608, 235, 642], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [368, 675, 434, 710], \"label\": \"garlic on conveyor\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 2304, "elapsed_seconds": 26.63942079199478, "metadata": {"match_method": "map", "num_predictions": 28, "num_ground_truth": 28, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 26.7445}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 100, "image": "basketball-player-detection_boston-celtics-new-york-knicks-game-4-q1-00-05-00-01-0115_png.rf.268163bdbdd382dbeaa9df9d19cf50ae.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [703, 165, 960, 237], \"label\": \"player\"},\n {\"box_2d\": [773, 180, 800, 194], \"label\": \"jersey number\"},\n {\"box_2d\": [723, 295, 880, 329], \"label\": \"referee\"},\n {\"box_2d\": [540, 360, 760, 405], \"label\": \"player\"},\n {\"box_2d\": [309, 149, 513, 194], \"label\": \"player\"},\n {\"box_2d\": [356, 165, 374, 177], \"label\": \"jersey number\"},\n {\"box_2d\": [313, 104, 463, 160], \"label\": \"player\"},\n {\"box_2d\": [356, 110, 374, 121], \"label\": \"jersey number\"},\n {\"box_2d\": [284, 340, 456, 378], \"label\": \"referee\"},\n {\"box_2d\": [320, 521, 493, 569], \"label\": \"player\"},\n {\"box_2d\": [367, 536, 387, 544], \"label\": \"jersey number\"},\n {\"box_2d\": [347, 544, 533, 612], \"label\": \"player\"},\n {\"box_2d\": [382, 563, 405, 577], \"label\": \"jersey number\"},\n {\"box_2d\": [461, 711, 639, 753], \"label\": \"player\"},\n {\"box_2d\": [449, 732, 667, 778], \"label\": \"player\"},\n {\"box_2d\": [504, 747, 524, 759], \"label\": \"jersey number\"},\n {\"box_2d\": [562, 747, 788, 807], \"label\": \"player\"},\n {\"box_2d\": [609, 811, 842, 874], \"label\": \"player\"},\n {\"box_2d\": [669, 849, 693, 860], \"label\": \"jersey number\"},\n {\"box_2d\": [295, 713, 319, 750], \"label\": \"basket rim\"}\n]\n```", "correct": false, "input_tokens": 1250, "output_tokens": 2570, "elapsed_seconds": 26.571604125085287, "metadata": {"match_method": "map", "num_predictions": 20, "num_ground_truth": 25, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3800094425678253, "attempts": 1, "retries": 0, "total_seconds": 26.6612}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 101, "image": "construction-safety_ppe_0720_jpg.rf.cfd070890ac09790250bebd1b430d69f.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [235, 0, 994, 85], \"label\": \"person\"},\n {\"box_2d\": [235, 11, 297, 59], \"label\": \"safety helmet\"},\n {\"box_2d\": [357, 0, 622, 78], \"label\": \"safety vest\"},\n {\"box_2d\": [289, 75, 986, 179], \"label\": \"person\"},\n {\"box_2d\": [289, 94, 355, 141], \"label\": \"safety helmet\"},\n {\"box_2d\": [400, 83, 653, 166], \"label\": \"safety vest\"},\n {\"box_2d\": [207, 159, 984, 275], \"label\": \"person\"},\n {\"box_2d\": [207, 182, 271, 230], \"label\": \"safety helmet\"},\n {\"box_2d\": [319, 168, 598, 254], \"label\": \"safety vest\"},\n {\"box_2d\": [267, 240, 976, 325], \"label\": \"person\"},\n {\"box_2d\": [265, 257, 333, 305], \"label\": \"safety helmet\"},\n {\"box_2d\": [380, 249, 616, 314], \"label\": \"safety vest\"},\n {\"box_2d\": [191, 293, 994, 405], \"label\": \"person\"},\n {\"box_2d\": [187, 327, 255, 377], \"label\": \"safety helmet\"},\n {\"box_2d\": [323, 308, 586, 403], \"label\": \"safety vest\"},\n {\"box_2d\": [209, 396, 982, 495], \"label\": \"person\"},\n {\"box_2d\": [207, 419, 271, 467], \"label\": \"safety helmet\"},\n {\"box_2d\": [321, 399, 594, 487], \"label\": \"safety vest\"},\n {\"box_2d\": [209, 479, 968, 574], \"label\": \"person\"},\n {\"box_2d\": [207, 490, 271, 538], \"label\": \"safety helmet\"},\n {\"box_2d\": [323, 483, 578, 566], \"label\": \"safety vest\"},\n {\"box_2d\": [241, 563, 982, 665], \"label\": \"person\"},\n {\"box_2d\": [241, 576, 305, 625], \"label\": \"safety helmet\"},\n {\"box_2d\": [357, 569, 596, 651], \"label\": \"safety vest\"},\n {\"box_2d\": [195, 654, 990, 754], \"label\": \"person\"},\n {\"box_2d\": [193, 677, 261, 728], \"label\": \"safety helmet\"},\n {\"box_2d\": [325, 661, 598, 748], \"label\": \"safety vest\"},\n {\"box_2d\": [118, 725, 992, 847], \"label\": \"person\"},\n {\"box_2d\": [116, 745, 201, 804], \"label\": \"safety helmet\"},\n {\"box_2d\": [251, 743, 550, 837], \"label\": \"safety vest\"},\n {\"box_2d\": [149, 808, 223, 854], \"label\": \"safety helmet\"},\n {\"box_2d\": [151, 806, 954, 861], \"label\": \"person\"},\n {\"box_2d\": [179, 822, 990, 905], \"label\": \"person\"},\n {\"box_2d\": [177, 837, 259, 898], \"label\": \"safety helmet\"},\n {\"box_2d\": [315, 826, 639, 901], \"label\": \"safety vest\"},\n {\"box_2d\": [137, 875, 992, 1000], \"label\": \"person\"},\n {\"box_2d\": [137, 900, 229, 980], \"label\": \"safety helmet\"},\n {\"box_2d\": [303, 886, 669, 1000], \"label\": \"safety vest\"}\n]\n```", "correct": true, "input_tokens": 1198, "output_tokens": 2731, "elapsed_seconds": 24.645074000000022, "metadata": {"match_method": "map", "num_predictions": 38, "num_ground_truth": 38, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9695354104042053, "attempts": 1, "retries": 0, "total_seconds": 24.6676}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 102, "image": "fabric-defect_1213_jpg.rf.f4cb351d5d6f226d23075b9a6a549416.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [471, 724, 589, 780], \"label\": \"fabric cut\"},\n {\"box_2d\": [576, 411, 620, 446], \"label\": \"fabric cut\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 684, "elapsed_seconds": 11.8461679170141, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 11.856}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 103, "image": "indir-2-_jpeg_jpg.rf.cabde9f9d89b7527f52820f6df64e1b7.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [363, 248, 381, 583], \"label\": \"dimension annotation\"},\n {\"box_2d\": [416, 90, 519, 212], \"label\": \"dimension annotation\"},\n {\"box_2d\": [434, 303, 518, 449], \"label\": \"dimension annotation\"},\n {\"box_2d\": [530, 69, 574, 138], \"label\": \"dimension annotation\"},\n {\"box_2d\": [423, 654, 575, 680], \"label\": \"dimension annotation\"},\n {\"box_2d\": [615, 181, 633, 289], \"label\": \"dimension annotation\"},\n {\"box_2d\": [615, 415, 633, 515], \"label\": \"dimension annotation\"},\n {\"box_2d\": [615, 515, 633, 583], \"label\": \"dimension annotation\"},\n {\"box_2d\": [618, 754, 641, 890], \"label\": \"dimension annotation\"},\n {\"box_2d\": [678, 55, 707, 81], \"label\": \"dimension annotation\"},\n {\"box_2d\": [707, 55, 844, 81], \"label\": \"dimension annotation\"},\n {\"box_2d\": [759, 249, 776, 344], \"label\": \"dimension annotation\"},\n {\"box_2d\": [814, 622, 845, 648], \"label\": \"dimension annotation\"},\n {\"box_2d\": [753, 662, 802, 751], \"label\": \"dimension annotation\"},\n {\"box_2d\": [914, 207, 985, 977], \"label\": \"technical drawing table\"}\n]\n```", "correct": false, "input_tokens": 1233, "output_tokens": 2467, "elapsed_seconds": 25.412906541954726, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5028287768363953, "attempts": 1, "retries": 0, "total_seconds": 25.4212}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 104, "image": "wood-log-detection_019_png_jpg.rf.0c10ed1caffd0ca9926a3f2f5de3a24a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [150, 58, 217, 152], \"label\": \"log cross-section\"},\n {\"box_2d\": [220, 97, 272, 162], \"label\": \"log cross-section\"},\n {\"box_2d\": [202, 164, 266, 255], \"label\": \"log cross-section\"},\n {\"box_2d\": [184, 236, 227, 278], \"label\": \"log cross-section\"},\n {\"box_2d\": [164, 286, 214, 348], \"label\": \"log cross-section\"},\n {\"box_2d\": [209, 283, 245, 327], \"label\": \"log cross-section\"},\n {\"box_2d\": [211, 327, 291, 422], \"label\": \"log cross-section\"},\n {\"box_2d\": [167, 403, 211, 458], \"label\": \"log cross-section\"},\n {\"box_2d\": [164, 495, 231, 581], \"label\": \"log cross-section\"},\n {\"box_2d\": [231, 420, 327, 553], \"label\": \"log cross-section\"},\n {\"box_2d\": [227, 544, 298, 636], \"label\": \"log cross-section\"},\n {\"box_2d\": [223, 667, 273, 733], \"label\": \"log cross-section\"},\n {\"box_2d\": [222, 733, 280, 805], \"label\": \"log cross-section\"},\n {\"box_2d\": [211, 803, 295, 897], \"label\": \"log cross-section\"},\n {\"box_2d\": [264, 53, 316, 125], \"label\": \"log cross-section\"},\n {\"box_2d\": [314, 67, 364, 136], \"label\": \"log cross-section\"},\n {\"box_2d\": [331, 131, 372, 180], \"label\": \"log cross-section\"},\n {\"box_2d\": [286, 198, 369, 306], \"label\": \"log cross-section\"},\n {\"box_2d\": [250, 280, 294, 330], \"label\": \"log cross-section\"},\n {\"box_2d\": [347, 239, 405, 319], \"label\": \"log cross-section\"},\n {\"box_2d\": [320, 320, 402, 433], \"label\": \"log cross-section\"},\n {\"box_2d\": [353, 422, 400, 494], \"label\": \"log cross-section\"},\n {\"box_2d\": [302, 536, 373, 623], \"label\": \"log cross-section\"},\n {\"box_2d\": [270, 655, 341, 741], \"label\": \"log cross-section\"},\n {\"box_2d\": [277, 744, 317, 797], \"label\": \"log cross-section\"},\n {\"box_2d\": [322, 702, 389, 789], \"label\": \"log cross-section\"},\n {\"box_2d\": [300, 777, 361, 850], \"label\": \"log cross-section\"},\n {\"box_2d\": [391, 91, 450, 170], \"label\": \"log cross-section\"},\n {\"box_2d\": [436, 150, 531, 273], \"label\": \"log cross-section\"},\n {\"box_2d\": [422, 272, 473, 336], \"label\": \"log cross-section\"},\n {\"box_2d\": [395, 427, 433, 483], \"label\": \"log cross-section\"},\n {\"box_2d\": [370, 497, 442, 588], \"label\": \"log cross-section\"},\n {\"box_2d\": [350, 603, 431, 705], \"label\": \"log cross-section\"},\n {\"box_2d\": [366, 802, 408, 855], \"label\": \"log cross-section\"},\n {\"box_2d\": [405, 895, 445, 947], \"label\": \"log cross-section\"},\n {\"box_2d\": [453, 86, 495, 147], \"label\": \"log cross-section\"},\n {\"box_2d\": [494, 70, 559, 153], \"label\": \"log cross-section\"},\n {\"box_2d\": [480, 267, 523, 327], \"label\": \"log cross-section\"},\n {\"box_2d\": [512, 211, 584, 306], \"label\": \"log cross-section\"},\n {\"box_2d\": [503, 306, 567, 386], \"label\": \"log cross-section\"},\n {\"box_2d\": [458, 353, 527, 444], \"label\": \"log cross-section\"},\n {\"box_2d\": [427, 412, 469, 467], \"label\": \"log cross-section\"},\n {\"box_2d\": [453, 448, 516, 538], \"label\": \"log cross-section\"},\n {\"box_2d\": [461, 545, 522, 623], \"label\": \"log cross-section\"},\n {\"box_2d\": [433, 620, 489, 692], \"label\": \"log cross-section\"},\n {\"box_2d\": [477, 672, 517, 725], \"label\": \"log cross-section\"},\n {\"box_2d\": [455, 720, 512, 794], \"label\": \"log cross-section\"},\n {\"box_2d\": [438, 788, 473, 833], \"label\": \"log cross-section\"},\n {\"box_2d\": [467, 833, 502, 875], \"label\": \"log cross-section\"},\n {\"box_2d\": [502, 853, 541, 897], \"label\": \"log cross-section\"},\n {\"box_2d\": [558, 78, 614, 156], \"label\": \"log cross-section\"},\n {\"box_2d\": [530, 159, 562, 206], \"label\": \"log cross-section\"},\n {\"box_2d\": [558, 169, 603, 223], \"label\": \"log cross-section\"},\n {\"box_2d\": [598, 169, 639, 225], \"label\": \"log cross-section\"},\n {\"box_2d\": [584, 223, 647, 308], \"label\": \"log cross-section\"},\n {\"box_2d\": [573, 391, 627, 477], \"label\": \"log cross-section\"},\n {\"box_2d\": [509, 483, 580, 578], \"label\": \"log cross-section\"},\n {\"box_2d\": [577, 486, 627, 573], \"label\": \"log cross-section\"},\n {\"box_2d\": [566, 570, 606, 616], \"label\": \"log cross-section\"},\n {\"box_2d\": [511, 634, 556, 688], \"label\": \"log cross-section\"},\n {\"box_2d\": [544, 606, 598, 678], \"label\": \"log cross-section\"},\n {\"box_2d\": [509, 714, 558, 775], \"label\": \"log cross-section\"},\n {\"box_2d\": [511, 773, 555, 822], \"label\": \"log cross-section\"},\n {\"box_2d\": [522, 827, 555, 862], \"label\": \"log cross-section\"},\n {\"box_2d\": [555, 691, 614, 772], \"label\": \"log cross-section\"},\n {\"box_2d\": [555, 778, 603, 845], \"label\": \"log cross-section\"},\n {\"box_2d\": [583, 841, 619, 884], \"label\": \"log cross-section\"},\n {\"box_2d\": [623, 66, 722, 198], \"label\": \"log cross-section\"},\n {\"box_2d\": [639, 202, 722, 322], \"label\": \"log cross-section\"},\n {\"box_2d\": [689, 298, 725, 339], \"label\": \"log cross-section\"},\n {\"box_2d\": [617, 322, 727, 453], \"label\": \"log cross-section\"},\n {\"box_2d\": [631, 466, 670, 514], \"label\": \"log cross-section\"},\n {\"box_2d\": [670, 466, 741, 555], \"label\": \"log cross-section\"},\n {\"box_2d\": [622, 512, 675, 584], \"label\": \"log cross-section\"},\n {\"box_2d\": [608, 567, 639, 622], \"label\": \"log cross-section\"},\n {\"box_2d\": [631, 581, 677, 642], \"label\": \"log cross-section\"},\n {\"box_2d\": [706, 588, 747, 641], \"label\": \"log cross-section\"},\n {\"box_2d\": [700, 638, 745, 688], \"label\": \"log cross-section\"},\n {\"box_2d\": [612, 670, 659, 731], \"label\": \"log cross-section\"},\n {\"box_2d\": [612, 731, 667, 797], \"label\": \"log cross-section\"},\n {\"box_2d\": [684, 717, 722, 759], \"label\": \"log cross-section\"},\n {\"box_2d\": [711, 791, 748, 833], \"label\": \"log cross-section\"},\n {\"box_2d\": [623, 830, 672, 889], \"label\": \"log cross-section\"},\n {\"box_2d\": [686, 834, 720, 883], \"label\": \"log cross-section\"},\n {\"box_2d\": [603, 814, 642, 855], \"label\": \"log cross-section\"}\n]\n```", "correct": true, "input_tokens": 1228, "output_tokens": 5861, "elapsed_seconds": 49.109581709024496, "metadata": {"match_method": "map", "num_predictions": 85, "num_ground_truth": 91, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8240794539451599, "attempts": 1, "retries": 0, "total_seconds": 49.1318}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 105, "image": "170571v_JPG_jpg.rf.044f16a58ffbf60b2d7a3d41cd3a4fdf.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [443, 458, 1000, 691], \"label\": \"cracked insulator\"},\n {\"box_2d\": [443, 461, 513, 673], \"label\": \"cracked insulator\"},\n {\"box_2d\": [499, 466, 571, 675], \"label\": \"cracked insulator\"},\n {\"box_2d\": [713, 495, 779, 681], \"label\": \"cracked insulator\"},\n {\"box_2d\": [764, 486, 841, 685], \"label\": \"cracked insulator\"}\n]\n```", "correct": false, "input_tokens": 1244, "output_tokens": 4215, "elapsed_seconds": 58.0513022079831, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6415841579437256, "attempts": 1, "retries": 0, "total_seconds": 58.4083}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 106, "image": "IMG_20260128_081412_jpg.rf.4a044ae2d306c8ba7e741477be920225.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [26, 0, 127, 56], \"label\": \"white standard price tag\"},\n {\"box_2d\": [30, 69, 134, 138], \"label\": \"white standard price tag\"},\n {\"box_2d\": [32, 141, 132, 220], \"label\": \"white standard price tag\"},\n {\"box_2d\": [40, 239, 137, 311], \"label\": \"white standard price tag\"},\n {\"box_2d\": [43, 336, 141, 410], \"label\": \"white standard price tag\"},\n {\"box_2d\": [46, 418, 144, 492], \"label\": \"white standard price tag\"},\n {\"box_2d\": [59, 529, 152, 601], \"label\": \"white standard price tag\"},\n {\"box_2d\": [61, 667, 156, 740], \"label\": \"white standard price tag\"},\n {\"box_2d\": [70, 767, 165, 843], \"label\": \"white standard price tag\"},\n {\"box_2d\": [76, 847, 171, 923], \"label\": \"white standard price tag\"},\n {\"box_2d\": [76, 925, 169, 998], \"label\": \"white standard price tag\"},\n {\"box_2d\": [656, 48, 744, 122], \"label\": \"white standard price tag\"},\n {\"box_2d\": [677, 218, 767, 287], \"label\": \"white standard price tag\"},\n {\"box_2d\": [682, 326, 771, 396], \"label\": \"white standard price tag\"},\n {\"box_2d\": [668, 419, 927, 487], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [676, 560, 932, 628], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [692, 646, 782, 716], \"label\": \"white standard price tag\"},\n {\"box_2d\": [695, 725, 785, 796], \"label\": \"white standard price tag\"},\n {\"box_2d\": [698, 819, 788, 894], \"label\": \"white standard price tag\"},\n {\"box_2d\": [703, 893, 792, 954], \"label\": \"white standard price tag\"},\n {\"box_2d\": [695, 944, 945, 1000], \"label\": \"yellow large price tag\"}\n]\n```", "correct": true, "input_tokens": 1222, "output_tokens": 2455, "elapsed_seconds": 33.05740370799322, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 21, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 33.3907}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 107, "image": "IMG_20220316_163220_jpg.rf.07e174636631b0be143879d240f8f468.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [287, 79, 756, 378], \"label\": \"three of diamonds\"},\n {\"box_2d\": [408, 80, 926, 405], \"label\": \"ace of diamonds\"},\n {\"box_2d\": [400, 396, 871, 731], \"label\": \"two of diamonds\"},\n {\"box_2d\": [155, 453, 636, 811], \"label\": \"four of diamonds\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 647, "elapsed_seconds": 9.159105209051631, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 9.1879}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 108, "image": "2e57b9_3_10_png_jpg.rf.93746b4a960366b1a012ad339a5d68e1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [474, 138, 513, 148], \"label\": \"goalkeeper\"},\n {\"box_2d\": [577, 57, 626, 70], \"label\": \"player\"},\n {\"box_2d\": [748, 159, 811, 180], \"label\": \"player\"},\n {\"box_2d\": [582, 236, 628, 248], \"label\": \"player\"},\n {\"box_2d\": [481, 211, 520, 224], \"label\": \"player\"},\n {\"box_2d\": [459, 216, 497, 229], \"label\": \"player\"},\n {\"box_2d\": [501, 283, 543, 296], \"label\": \"player\"},\n {\"box_2d\": [424, 263, 459, 272], \"label\": \"player\"},\n {\"box_2d\": [378, 391, 409, 398], \"label\": \"player\"},\n {\"box_2d\": [416, 390, 450, 398], \"label\": \"player\"},\n {\"box_2d\": [445, 458, 484, 466], \"label\": \"player\"},\n {\"box_2d\": [493, 479, 535, 489], \"label\": \"referee\"},\n {\"box_2d\": [472, 500, 511, 509], \"label\": \"player\"},\n {\"box_2d\": [544, 463, 591, 476], \"label\": \"player\"},\n {\"box_2d\": [543, 495, 591, 505], \"label\": \"player\"},\n {\"box_2d\": [585, 438, 634, 447], \"label\": \"player\"},\n {\"box_2d\": [588, 349, 639, 360], \"label\": \"player\"},\n {\"box_2d\": [689, 486, 749, 499], \"label\": \"player\"},\n {\"box_2d\": [405, 630, 440, 637], \"label\": \"player\"},\n {\"box_2d\": [407, 658, 441, 667], \"label\": \"player\"},\n {\"box_2d\": [452, 676, 490, 684], \"label\": \"player\"},\n {\"box_2d\": [534, 694, 581, 704], \"label\": \"player\"},\n {\"box_2d\": [908, 746, 987, 773], \"label\": \"referee\"}\n]\n```", "correct": false, "input_tokens": 1242, "output_tokens": 2529, "elapsed_seconds": 27.946779582998715, "metadata": {"match_method": "map", "num_predictions": 23, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6534653306007385, "attempts": 1, "retries": 0, "total_seconds": 28.0399}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 109, "image": "img283_png.rf.c0609f1f38390a89165e7c735d693ab6.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [28, 540, 96, 625], \"label\": \"and gate symbol\"},\n {\"box_2d\": [76, 366, 143, 450], \"label\": \"and gate symbol\"},\n {\"box_2d\": [123, 540, 191, 625], \"label\": \"and gate symbol\"},\n {\"box_2d\": [170, 756, 238, 840], \"label\": \"or gate symbol\"},\n {\"box_2d\": [218, 540, 286, 625], \"label\": \"and gate symbol\"},\n {\"box_2d\": [250, 366, 318, 450], \"label\": \"and gate symbol\"},\n {\"box_2d\": [330, 540, 397, 625], \"label\": \"and gate symbol\"},\n {\"box_2d\": [345, 36, 389, 80], \"label\": \"not gate symbol\"},\n {\"box_2d\": [345, 90, 389, 134], \"label\": \"not gate symbol\"},\n {\"box_2d\": [392, 392, 461, 478], \"label\": \"and gate symbol\"},\n {\"box_2d\": [440, 540, 508, 625], \"label\": \"or gate symbol\"},\n {\"box_2d\": [487, 392, 555, 478], \"label\": \"and gate symbol\"},\n {\"box_2d\": [551, 144, 595, 188], \"label\": \"not gate symbol\"},\n {\"box_2d\": [551, 197, 595, 241], \"label\": \"not gate symbol\"},\n {\"box_2d\": [535, 701, 603, 787], \"label\": \"and gate symbol\"},\n {\"box_2d\": [582, 392, 650, 478], \"label\": \"and gate symbol\"},\n {\"box_2d\": [630, 540, 698, 625], \"label\": \"or gate symbol\"},\n {\"box_2d\": [678, 392, 745, 478], \"label\": \"and gate symbol\"},\n {\"box_2d\": [662, 864, 730, 948], \"label\": \"or gate symbol\"},\n {\"box_2d\": [788, 366, 856, 450], \"label\": \"and gate symbol\"},\n {\"box_2d\": [835, 554, 903, 638], \"label\": \"or gate symbol\"},\n {\"box_2d\": [914, 352, 982, 437], \"label\": \"and gate symbol\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 2217, "elapsed_seconds": 23.07949945901055, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 23.0923}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 110, "image": "000002_png.rf.4f51fa98e7c1b825375b26d30324d587.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [156, 204, 169, 226], \"label\": \"tire spike absent\"},\n {\"box_2d\": [196, 245, 213, 270], \"label\": \"tire spike absent\"},\n {\"box_2d\": [252, 298, 270, 323], \"label\": \"tire spike absent\"},\n {\"box_2d\": [347, 326, 366, 353], \"label\": \"tire spike normal\"},\n {\"box_2d\": [411, 381, 431, 408], \"label\": \"tire spike normal\"},\n {\"box_2d\": [507, 377, 528, 405], \"label\": \"tire spike normal\"},\n {\"box_2d\": [572, 433, 592, 460], \"label\": \"tire spike normal\"},\n {\"box_2d\": [759, 496, 779, 524], \"label\": \"tire spike normal\"},\n {\"box_2d\": [828, 570, 845, 594], \"label\": \"tire spike absent\"},\n {\"box_2d\": [903, 561, 918, 583], \"label\": \"tire spike absent\"},\n {\"box_2d\": [939, 616, 953, 636], \"label\": \"tire spike normal\"},\n {\"box_2d\": [176, 575, 190, 595], \"label\": \"tire spike normal\"},\n {\"box_2d\": [245, 642, 260, 665], \"label\": \"tire spike normal\"},\n {\"box_2d\": [334, 678, 351, 701], \"label\": \"tire spike normal\"},\n {\"box_2d\": [390, 745, 406, 767], \"label\": \"tire spike normal\"},\n {\"box_2d\": [466, 765, 483, 789], \"label\": \"tire spike normal\"},\n {\"box_2d\": [544, 781, 561, 804], \"label\": \"tire spike normal\"},\n {\"box_2d\": [614, 839, 632, 862], \"label\": \"tire spike normal\"},\n {\"box_2d\": [716, 836, 732, 858], \"label\": \"tire spike normal\"},\n {\"box_2d\": [766, 876, 782, 895], \"label\": \"tire spike normal\"}\n]\n```", "correct": false, "input_tokens": 1244, "output_tokens": 2095, "elapsed_seconds": 19.233258833060972, "metadata": {"match_method": "map", "num_predictions": 20, "num_ground_truth": 25, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7564356327056885, "attempts": 1, "retries": 0, "total_seconds": 19.2627}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 111, "image": "20210325_203906_jpg.rf.933d9e03e479d146bb70034cc952f103.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [153, 223, 300, 372], \"label\": \"1 euro cent coin\"},\n {\"box_2d\": [125, 517, 300, 691], \"label\": \"2 euro cent coin\"},\n {\"box_2d\": [264, 364, 455, 555], \"label\": \"5 euro cent coin\"},\n {\"box_2d\": [320, 72, 538, 291], \"label\": \"50 euro cent coin\"},\n {\"box_2d\": [331, 653, 567, 892], \"label\": \"2 euro coin\"},\n {\"box_2d\": [477, 459, 672, 656], \"label\": \"20 euro cent coin\"},\n {\"box_2d\": [541, 217, 742, 420], \"label\": \"1 euro coin\"},\n {\"box_2d\": [761, 434, 927, 605], \"label\": \"10 euro cent coin\"}\n]\n```", "correct": true, "input_tokens": 1272, "output_tokens": 987, "elapsed_seconds": 9.369269917020574, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 9.3812}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 112, "image": "IMG_6680_jpeg_jpg.rf.a7e13dbe56d360a8422903a30c5bef2b.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [451, 29, 529, 199], \"label\": \"green poker chip\"},\n {\"box_2d\": [490, 28, 546, 201], \"label\": \"green poker chip\"},\n {\"box_2d\": [502, 32, 563, 206], \"label\": \"green poker chip\"},\n {\"box_2d\": [448, 226, 521, 386], \"label\": \"orange poker chip\"},\n {\"box_2d\": [485, 229, 540, 387], \"label\": \"orange poker chip\"},\n {\"box_2d\": [497, 214, 563, 371], \"label\": \"orange poker chip\"},\n {\"box_2d\": [445, 431, 517, 584], \"label\": \"red poker chip\"},\n {\"box_2d\": [476, 420, 536, 577], \"label\": \"red poker chip\"},\n {\"box_2d\": [499, 434, 560, 590], \"label\": \"red poker chip\"},\n {\"box_2d\": [448, 622, 521, 783], \"label\": \"blue poker chip\"},\n {\"box_2d\": [486, 622, 540, 782], \"label\": \"blue poker chip\"},\n {\"box_2d\": [503, 624, 564, 789], \"label\": \"blue poker chip\"},\n {\"box_2d\": [439, 801, 509, 973], \"label\": \"white poker chip\"},\n {\"box_2d\": [478, 813, 534, 988], \"label\": \"white poker chip\"},\n {\"box_2d\": [492, 812, 551, 988], \"label\": \"white poker chip\"}\n]\n```", "correct": true, "input_tokens": 1243, "output_tokens": 1656, "elapsed_seconds": 14.94305679097306, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 14.9649}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 113, "image": "paper-parts_1947_92_jpg.rf.c89564b4b37a6d7828cc26ccdadbe488.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [99, 860, 114, 880], \"label\": \"page number\"},\n {\"box_2d\": [142, 235, 471, 766], \"label\": \"figure\"},\n {\"box_2d\": [485, 118, 519, 881], \"label\": \"figure caption\"},\n {\"box_2d\": [523, 495, 536, 500], \"label\": \"paragraph\"},\n {\"box_2d\": [550, 267, 565, 732], \"label\": \"table caption\"},\n {\"box_2d\": [579, 224, 691, 775], \"label\": \"table\"},\n {\"box_2d\": [720, 118, 753, 881], \"label\": \"paragraph\"},\n {\"box_2d\": [776, 118, 791, 336], \"label\": \"subsection\"},\n {\"box_2d\": [804, 118, 837, 881], \"label\": \"paragraph\"},\n {\"box_2d\": [852, 427, 872, 572], \"label\": \"equation\"},\n {\"box_2d\": [887, 118, 905, 536], \"label\": \"paragraph\"}\n]\n```", "correct": true, "input_tokens": 1255, "output_tokens": 1471, "elapsed_seconds": 12.63514450006187, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 10, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8437498807907104, "attempts": 1, "retries": 0, "total_seconds": 12.6812}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 114, "image": "160623_JPG_jpg.rf.4a3c396118b0f749044f2bf5dc9876a6.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [95, 410, 184, 516], \"label\": \"insulator flashover\"},\n {\"box_2d\": [221, 410, 312, 515], \"label\": \"insulator flashover\"},\n {\"box_2d\": [411, 409, 502, 514], \"label\": \"insulator flashover\"},\n {\"box_2d\": [652, 411, 740, 511], \"label\": \"insulator flashover\"}\n]\n```", "correct": true, "input_tokens": 1218, "output_tokens": 3415, "elapsed_seconds": 43.103391624987125, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.801980197429657, "attempts": 1, "retries": 0, "total_seconds": 43.7041}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 115, "image": "97_jpg.rf.6e96875525666efd5c6ee92a42ea704b.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [160, 444, 232, 489], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [504, 115, 620, 160], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [365, 417, 452, 468], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [550, 519, 646, 562], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [360, 771, 446, 811], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [388, 258, 434, 315], \"label\": \"resistor symbol\"},\n {\"box_2d\": [395, 639, 440, 709], \"label\": \"resistor symbol\"},\n {\"box_2d\": [809, 286, 857, 351], \"label\": \"resistor symbol\"},\n {\"box_2d\": [556, 862, 695, 887], \"label\": \"resistor symbol\"}\n]\n```", "correct": true, "input_tokens": 1251, "output_tokens": 1098, "elapsed_seconds": 10.427366625051945, "metadata": {"match_method": "map", "num_predictions": 9, "num_ground_truth": 9, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 10.4325}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 116, "image": "IMG_20260128_081234_jpg.rf.66b0abebc9fc2c6dc309b213a32ddf78.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 82, 363, 189], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [10, 298, 354, 396], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [27, 405, 358, 491], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [57, 589, 169, 666], \"label\": \"white standard price tag\"},\n {\"box_2d\": [64, 900, 174, 976], \"label\": \"white standard price tag\"},\n {\"box_2d\": [732, 37, 839, 108], \"label\": \"white standard price tag\"},\n {\"box_2d\": [745, 258, 845, 332], \"label\": \"white standard price tag\"},\n {\"box_2d\": [743, 354, 842, 427], \"label\": \"white standard price tag\"},\n {\"box_2d\": [735, 441, 836, 512], \"label\": \"white standard price tag\"},\n {\"box_2d\": [741, 557, 843, 628], \"label\": \"white standard price tag\"},\n {\"box_2d\": [744, 699, 845, 770], \"label\": \"white standard price tag\"},\n {\"box_2d\": [746, 806, 845, 876], \"label\": \"white standard price tag\"},\n {\"box_2d\": [745, 881, 845, 948], \"label\": \"white standard price tag\"},\n {\"box_2d\": [746, 946, 845, 1000], \"label\": \"white standard price tag\"}\n]\n```", "correct": true, "input_tokens": 1222, "output_tokens": 2369, "elapsed_seconds": 27.392598874983378, "metadata": {"match_method": "map", "num_predictions": 14, "num_ground_truth": 14, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 27.6809}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 117, "image": "1668147222__jpg.rf.44d299ff8b2787b4176e92260de001ce.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [598, 40, 645, 70], \"label\": \"five die\"},\n {\"box_2d\": [505, 108, 561, 141], \"label\": \"six die\"},\n {\"box_2d\": [355, 125, 403, 154], \"label\": \"six die\"},\n {\"box_2d\": [568, 144, 625, 179], \"label\": \"three die\"},\n {\"box_2d\": [841, 121, 900, 155], \"label\": \"five die\"},\n {\"box_2d\": [279, 206, 329, 236], \"label\": \"five die\"},\n {\"box_2d\": [422, 220, 470, 249], \"label\": \"five die\"},\n {\"box_2d\": [374, 291, 429, 324], \"label\": \"one die\"},\n {\"box_2d\": [424, 304, 473, 331], \"label\": \"two die\"},\n {\"box_2d\": [583, 283, 635, 313], \"label\": \"six die\"},\n {\"box_2d\": [130, 317, 187, 349], \"label\": \"four die\"},\n {\"box_2d\": [175, 381, 233, 413], \"label\": \"two die\"},\n {\"box_2d\": [135, 398, 193, 430], \"label\": \"one die\"},\n {\"box_2d\": [526, 390, 581, 422], \"label\": \"four die\"},\n {\"box_2d\": [643, 372, 701, 404], \"label\": \"six die\"},\n {\"box_2d\": [755, 448, 805, 476], \"label\": \"five die\"},\n {\"box_2d\": [401, 473, 456, 503], \"label\": \"one die\"},\n {\"box_2d\": [302, 489, 353, 517], \"label\": \"three die\"},\n {\"box_2d\": [213, 495, 272, 529], \"label\": \"one die\"},\n {\"box_2d\": [230, 528, 282, 557], \"label\": \"two die\"},\n {\"box_2d\": [182, 538, 239, 572], \"label\": \"four die\"},\n {\"box_2d\": [125, 553, 182, 583], \"label\": \"two die\"},\n {\"box_2d\": [170, 569, 227, 601], \"label\": \"two die\"},\n {\"box_2d\": [20, 613, 81, 645], \"label\": \"five die\"},\n {\"box_2d\": [376, 530, 431, 562], \"label\": \"six die\"},\n {\"box_2d\": [625, 501, 673, 528], \"label\": \"two die\"},\n {\"box_2d\": [759, 509, 813, 538], \"label\": \"four die\"},\n {\"box_2d\": [628, 540, 687, 574], \"label\": \"two die\"},\n {\"box_2d\": [771, 563, 829, 596], \"label\": \"four die\"},\n {\"box_2d\": [589, 582, 639, 609], \"label\": \"four die\"},\n {\"box_2d\": [460, 586, 518, 619], \"label\": \"six die\"},\n {\"box_2d\": [285, 611, 344, 645], \"label\": \"two die\"},\n {\"box_2d\": [334, 633, 384, 662], \"label\": \"two die\"},\n {\"box_2d\": [396, 639, 446, 668], \"label\": \"five die\"},\n {\"box_2d\": [481, 626, 540, 659], \"label\": \"one die\"},\n {\"box_2d\": [537, 628, 591, 658], \"label\": \"four die\"},\n {\"box_2d\": [568, 650, 626, 683], \"label\": \"six die\"},\n {\"box_2d\": [640, 665, 697, 697], \"label\": \"three die\"},\n {\"box_2d\": [353, 695, 403, 723], \"label\": \"four die\"},\n {\"box_2d\": [138, 728, 193, 759], \"label\": \"one die\"},\n {\"box_2d\": [400, 730, 460, 765], \"label\": \"four die\"},\n {\"box_2d\": [464, 742, 522, 777], \"label\": \"five die\"},\n {\"box_2d\": [515, 757, 567, 788], \"label\": \"two die\"},\n {\"box_2d\": [585, 769, 643, 803], \"label\": \"three die\"},\n {\"box_2d\": [158, 792, 217, 826], \"label\": \"three die\"},\n {\"box_2d\": [448, 858, 498, 888], \"label\": \"four die\"},\n {\"box_2d\": [699, 912, 748, 943], \"label\": \"five die\"},\n {\"box_2d\": [126, 917, 184, 950], \"label\": \"two die\"},\n {\"box_2d\": [82, 934, 132, 965], \"label\": \"two die\"},\n {\"box_2d\": [127, 948, 178, 978], \"label\": \"three die\"}\n]\n```", "correct": true, "input_tokens": 1252, "output_tokens": 5424, "elapsed_seconds": 44.17055629205424, "metadata": {"match_method": "map", "num_predictions": 50, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9177667498588562, "attempts": 1, "retries": 0, "total_seconds": 44.2123}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 118, "image": "IMG_0603_jpeg.rf.ecb146a41f95c297fa9a3a9efb0e3ea5.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [461, 213, 616, 311], \"label\": \"peach jelly bean\"},\n {\"box_2d\": [338, 396, 456, 466], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [466, 519, 589, 640], \"label\": \"caramel corn jelly bean\"},\n {\"box_2d\": [344, 688, 446, 800], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [95, 769, 159, 825], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [101, 821, 161, 873], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [120, 867, 164, 912], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [151, 855, 216, 905], \"label\": \"caramel corn jelly bean\"}\n]\n```", "correct": true, "input_tokens": 1230, "output_tokens": 5644, "elapsed_seconds": 47.746292291907594, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8341583609580994, "attempts": 2, "retries": 1, "total_seconds": 113.1023, "transient_errors": ["RemoteProtocolError"]}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 119, "image": "lot229_JPEG_jpg.rf.ffdf35568953f3fde9f8f46749018268.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [119, 412, 160, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [117, 452, 136, 495], \"label\": \"chicory seed\"},\n {\"box_2d\": [122, 467, 152, 507], \"label\": \"chicory seed\"},\n {\"box_2d\": [127, 490, 165, 521], \"label\": \"chicory seed\"},\n {\"box_2d\": [138, 431, 168, 468], \"label\": \"chicory seed\"},\n {\"box_2d\": [152, 451, 181, 488], \"label\": \"chicory seed\"},\n {\"box_2d\": [125, 539, 145, 585], \"label\": \"chicory seed\"},\n {\"box_2d\": [130, 355, 171, 378], \"label\": \"chicory seed\"},\n {\"box_2d\": [140, 377, 180, 399], \"label\": \"chicory seed\"},\n {\"box_2d\": [168, 297, 190, 342], \"label\": \"chicory seed\"},\n {\"box_2d\": [169, 348, 208, 371], \"label\": \"chicory seed\"},\n {\"box_2d\": [181, 265, 203, 300], \"label\": \"chicory seed\"},\n {\"box_2d\": [195, 240, 214, 283], \"label\": \"chicory seed\"},\n {\"box_2d\": [213, 255, 232, 296], \"label\": \"chicory seed\"},\n {\"box_2d\": [189, 315, 219, 352], \"label\": \"chicory seed\"},\n {\"box_2d\": [187, 391, 220, 426], \"label\": \"chicory seed\"},\n {\"box_2d\": [192, 426, 217, 469], \"label\": \"chicory seed\"},\n {\"box_2d\": [202, 355, 233, 395], \"label\": \"chicory seed\"},\n {\"box_2d\": [213, 446, 232, 488], \"label\": \"chicory seed\"},\n {\"box_2d\": [164, 493, 205, 514], \"label\": \"chicory seed\"},\n {\"box_2d\": [157, 511, 176, 552], \"label\": \"chicory seed\"},\n {\"box_2d\": [171, 513, 194, 554], \"label\": \"chicory seed\"},\n {\"box_2d\": [191, 507, 218, 548], \"label\": \"chicory seed\"},\n {\"box_2d\": [156, 550, 183, 591], \"label\": \"chicory seed\"},\n {\"box_2d\": [172, 556, 196, 599], \"label\": \"chicory seed\"},\n {\"box_2d\": [194, 530, 228, 563], \"label\": \"chicory seed\"},\n {\"box_2d\": [160, 599, 201, 619], \"label\": \"chicory seed\"},\n {\"box_2d\": [168, 618, 209, 637], \"label\": \"chicory seed\"},\n {\"box_2d\": [167, 658, 196, 695], \"label\": \"chicory seed\"},\n {\"box_2d\": [201, 600, 241, 621], \"label\": \"chicory seed\"},\n {\"box_2d\": [213, 609, 249, 643], \"label\": \"chicory seed\"},\n {\"box_2d\": [228, 617, 264, 651], \"label\": \"chicory seed\"},\n {\"box_2d\": [221, 646, 253, 671], \"label\": \"chicory seed\"},\n {\"box_2d\": [199, 678, 238, 702], \"label\": \"chicory seed\"},\n {\"box_2d\": [207, 700, 246, 719], \"label\": \"chicory seed\"},\n {\"box_2d\": [237, 718, 277, 743], \"label\": \"chicory seed\"},\n {\"box_2d\": [241, 667, 272, 702], \"label\": \"chicory seed\"},\n {\"box_2d\": [252, 638, 291, 665], \"label\": \"chicory seed\"},\n {\"box_2d\": [209, 316, 249, 344], \"label\": \"chicory seed\"},\n {\"box_2d\": [225, 302, 260, 333], \"label\": \"chicory seed\"},\n {\"box_2d\": [226, 265, 260, 303], \"label\": \"chicory seed\"},\n {\"box_2d\": [216, 231, 257, 251], \"label\": \"chicory seed\"},\n {\"box_2d\": [231, 247, 269, 266], \"label\": \"chicory seed\"},\n {\"box_2d\": [250, 199, 277, 239], \"label\": \"chicory seed\"},\n {\"box_2d\": [264, 245, 286, 286], \"label\": \"chicory seed\"},\n {\"box_2d\": [267, 222, 297, 247], \"label\": \"chicory seed\"},\n {\"box_2d\": [232, 341, 265, 376], \"label\": \"chicory seed\"},\n {\"box_2d\": [240, 357, 274, 390], \"label\": \"chicory seed\"},\n {\"box_2d\": [224, 381, 242, 421], \"label\": \"chicory seed\"},\n {\"box_2d\": [241, 391, 276, 425], \"label\": \"chicory seed\"},\n {\"box_2d\": [259, 306, 279, 350], \"label\": \"chicory seed\"},\n {\"box_2d\": [209, 548, 237, 582], \"label\": \"chicory seed\"},\n {\"box_2d\": [215, 560, 245, 597], \"label\": \"chicory seed\"},\n {\"box_2d\": [231, 565, 259, 606], \"label\": \"chicory seed\"},\n {\"box_2d\": [219, 488, 242, 533], \"label\": \"chicory seed\"},\n {\"box_2d\": [233, 495, 258, 538], \"label\": \"chicory seed\"},\n {\"box_2d\": [234, 471, 277, 498], \"label\": \"chicory seed\"},\n {\"box_2d\": [233, 521, 262, 557], \"label\": \"chicory seed\"},\n {\"box_2d\": [259, 500, 288, 536], \"label\": \"chicory seed\"},\n {\"box_2d\": [253, 530, 277, 569], \"label\": \"chicory seed\"},\n {\"box_2d\": [254, 568, 278, 608], \"label\": \"chicory seed\"},\n {\"box_2d\": [258, 605, 294, 637], \"label\": \"chicory seed\"},\n {\"box_2d\": [270, 590, 305, 622], \"label\": \"chicory seed\"},\n {\"box_2d\": [278, 571, 315, 596], \"label\": \"chicory seed\"},\n {\"box_2d\": [273, 536, 292, 572], \"label\": \"chicory seed\"},\n {\"box_2d\": [292, 533, 312, 576], \"label\": \"chicory seed\"},\n {\"box_2d\": [263, 411, 282, 455], \"label\": \"chicory seed\"},\n {\"box_2d\": [281, 399, 299, 441], \"label\": \"chicory seed\"},\n {\"box_2d\": [271, 373, 310, 402], \"label\": \"chicory seed\"},\n {\"box_2d\": [274, 331, 293, 373], \"label\": \"chicory seed\"},\n {\"box_2d\": [282, 286, 302, 330], \"label\": \"chicory seed\"},\n {\"box_2d\": [287, 257, 315, 296], \"label\": \"chicory seed\"},\n {\"box_2d\": [293, 324, 319, 367], \"label\": \"chicory seed\"},\n {\"box_2d\": [305, 299, 330, 340], \"label\": \"chicory seed\"},\n {\"box_2d\": [290, 365, 325, 399], \"label\": \"chicory seed\"},\n {\"box_2d\": [318, 204, 353, 234], \"label\": \"chicory seed\"},\n {\"box_2d\": [305, 236, 339, 269], \"label\": \"chicory seed\"},\n {\"box_2d\": [314, 270, 343, 311], \"label\": \"chicory seed\"},\n {\"box_2d\": [331, 270, 361, 311], \"label\": \"chicory seed\"},\n {\"box_2d\": [333, 249, 367, 288], \"label\": \"chicory seed\"},\n {\"box_2d\": [319, 348, 341, 388], \"label\": \"chicory seed\"},\n {\"box_2d\": [335, 321, 355, 365], \"label\": \"chicory seed\"},\n {\"box_2d\": [348, 313, 373, 356], \"label\": \"chicory seed\"},\n {\"box_2d\": [364, 278, 386, 320], \"label\": \"chicory seed\"},\n {\"box_2d\": [343, 357, 381, 387], \"label\": \"chicory seed\"},\n {\"box_2d\": [322, 391, 345, 433], \"label\": \"chicory seed\"},\n {\"box_2d\": [343, 390, 366, 431], \"label\": \"chicory seed\"},\n {\"box_2d\": [368, 376, 405, 397], \"label\": \"chicory seed\"},\n {\"box_2d\": [363, 397, 387, 435], \"label\": \"chicory seed\"},\n {\"box_2d\": [376, 406, 400, 446], \"label\": \"chicory seed\"},\n {\"box_2d\": [301, 407, 337, 439], \"label\": \"chicory seed\"},\n {\"box_2d\": [298, 428, 332, 454], \"label\": \"chicory seed\"},\n {\"box_2d\": [286, 443, 324, 469], \"label\": \"chicory seed\"},\n {\"box_2d\": [290, 459, 317, 499], \"label\": \"chicory seed\"},\n {\"box_2d\": [319, 456, 338, 501], \"label\": \"chicory seed\"},\n {\"box_2d\": [332, 436, 357, 480], \"label\": \"chicory seed\"},\n {\"box_2d\": [345, 431, 377, 461], \"label\": \"chicory seed\"},\n {\"box_2d\": [357, 453, 389, 490], \"label\": \"chicory seed\"},\n {\"box_2d\": [288, 500, 322, 529], \"label\": \"chicory seed\"},\n {\"box_2d\": [309, 516, 332, 558], \"label\": \"chicory seed\"},\n {\"box_2d\": [326, 495, 365, 519], \"label\": \"chicory seed\"},\n {\"box_2d\": [336, 525, 376, 553], \"label\": \"chicory seed\"},\n {\"box_2d\": [309, 558, 347, 577], \"label\": \"chicory seed\"},\n {\"box_2d\": [315, 571, 355, 594], \"label\": \"chicory seed\"},\n {\"box_2d\": [336, 545, 373, 576], \"label\": \"chicory seed\"},\n {\"box_2d\": [333, 579, 373, 601], \"label\": \"chicory seed\"},\n {\"box_2d\": [306, 597, 345, 616], \"label\": \"chicory seed\"},\n {\"box_2d\": [296, 617, 330, 654], \"label\": \"chicory seed\"},\n {\"box_2d\": [305, 639, 332, 680], \"label\": \"chicory seed\"},\n {\"box_2d\": [330, 602, 370, 628], \"label\": \"chicory seed\"},\n {\"box_2d\": [329, 619, 366, 649], \"label\": \"chicory seed\"},\n {\"box_2d\": [327, 656, 368, 683], \"label\": \"chicory seed\"},\n {\"box_2d\": [351, 617, 378, 658], \"label\": \"chicory seed\"},\n {\"box_2d\": [369, 634, 392, 676], \"label\": \"chicory seed\"},\n {\"box_2d\": [324, 683, 360, 717], \"label\": \"chicory seed\"},\n {\"box_2d\": [279, 720, 320, 740], \"label\": \"chicory seed\"},\n {\"box_2d\": [273, 748, 315, 771], \"label\": \"chicory seed\"},\n {\"box_2d\": [277, 763, 313, 792], \"label\": \"chicory seed\"},\n {\"box_2d\": [307, 774, 348, 799], \"label\": \"chicory seed\"},\n {\"box_2d\": [330, 787, 363, 822], \"label\": \"chicory seed\"},\n {\"box_2d\": [350, 788, 380, 830], \"label\": \"chicory seed\"},\n {\"box_2d\": [359, 745, 379, 785], \"label\": \"chicory seed\"},\n {\"box_2d\": [361, 704, 395, 738], \"label\": \"chicory seed\"},\n {\"box_2d\": [360, 681, 388, 715], \"label\": \"chicory seed\"},\n {\"box_2d\": [381, 685, 409, 724], \"label\": \"chicory seed\"},\n {\"box_2d\": [376, 127, 399, 169], \"label\": \"chicory seed\"},\n {\"box_2d\": [385, 146, 414, 177], \"label\": \"chicory seed\"},\n {\"box_2d\": [365, 189, 405, 212], \"label\": \"chicory seed\"},\n {\"box_2d\": [406, 179, 446, 200], \"label\": \"chicory seed\"},\n {\"box_2d\": [394, 205, 424, 243], \"label\": \"chicory seed\"},\n {\"box_2d\": [399, 231, 433, 258], \"label\": \"chicory seed\"},\n {\"box_2d\": [424, 198, 459, 226], \"label\": \"chicory seed\"},\n {\"box_2d\": [426, 232, 457, 269], \"label\": \"chicory seed\"},\n {\"box_2d\": [460, 192, 478, 232], \"label\": \"chicory seed\"},\n {\"box_2d\": [485, 189, 524, 214], \"label\": \"chicory seed\"},\n {\"box_2d\": [461, 243, 495, 280], \"label\": \"chicory seed\"},\n {\"box_2d\": [479, 234, 509, 273], \"label\": \"chicory seed\"},\n {\"box_2d\": [402, 275, 441, 305], \"label\": \"chicory seed\"},\n {\"box_2d\": [404, 304, 444, 327], \"label\": \"chicory seed\"},\n {\"box_2d\": [422, 327, 459, 349], \"label\": \"chicory seed\"},\n {\"box_2d\": [399, 343, 435, 373], \"label\": \"chicory seed\"},\n {\"box_2d\": [525, 221, 562, 252], \"label\": \"chicory seed\"},\n {\"box_2d\": [522, 246, 555, 285], \"label\": \"chicory seed\"},\n {\"box_2d\": [509, 270, 531, 309], \"label\": \"chicory seed\"},\n {\"box_2d\": [555, 184, 587, 218], \"label\": \"chicory seed\"},\n {\"box_2d\": [594, 173, 629, 203], \"label\": \"chicory seed\"},\n {\"box_2d\": [600, 198, 634, 231], \"label\": \"chicory seed\"},\n {\"box_2d\": [640, 196, 675, 231], \"label\": \"chicory seed\"},\n {\"box_2d\": [566, 265, 606, 291], \"label\": \"chicory seed\"},\n {\"box_2d\": [633, 274, 675, 296], \"label\": \"chicory seed\"},\n {\"box_2d\": [482, 317, 509, 359], \"label\": \"chicory seed\"},\n {\"box_2d\": [509, 310, 531, 349], \"label\": \"chicory seed\"},\n {\"box_2d\": [526, 312, 559, 350], \"label\": \"chicory seed\"},\n {\"box_2d\": [504, 345, 543, 375], \"label\": \"chicory seed\"},\n {\"box_2d\": [402, 377, 443, 403], \"label\": \"chicory seed\"},\n {\"box_2d\": [406, 410, 431, 444], \"label\": \"chicory seed\"},\n {\"box_2d\": [420, 398, 452, 433], \"label\": \"chicory seed\"},\n {\"box_2d\": [436, 390, 467, 430], \"label\": \"chicory seed\"},\n {\"box_2d\": [443, 356, 462, 400], \"label\": \"chicory seed\"},\n {\"box_2d\": [462, 343, 482, 386], \"label\": \"chicory seed\"},\n {\"box_2d\": [386, 441, 415, 479], \"label\": \"chicory seed\"},\n {\"box_2d\": [421, 430, 459, 461], \"label\": \"chicory seed\"},\n {\"box_2d\": [430, 447, 466, 478], \"label\": \"chicory seed\"},\n {\"box_2d\": [400, 460, 430, 499], \"label\": \"chicory seed\"},\n {\"box_2d\": [390, 479, 422, 513], \"label\": \"chicory seed\"},\n {\"box_2d\": [379, 495, 401, 536], \"label\": \"chicory seed\"},\n {\"box_2d\": [428, 478, 451, 520], \"label\": \"chicory seed\"},\n {\"box_2d\": [455, 468, 476, 510], \"label\": \"chicory seed\"},\n {\"box_2d\": [466, 399, 506, 420], \"label\": \"chicory seed\"},\n {\"box_2d\": [477, 419, 515, 449], \"label\": \"chicory seed\"},\n {\"box_2d\": [486, 388, 525, 410], \"label\": \"chicory seed\"},\n {\"box_2d\": [518, 372, 549, 406], \"label\": \"chicory seed\"},\n {\"box_2d\": [515, 404, 541, 443], \"label\": \"chicory seed\"},\n {\"box_2d\": [525, 419, 553, 460], \"label\": \"chicory seed\"},\n {\"box_2d\": [549, 424, 571, 467], \"label\": \"chicory seed\"},\n {\"box_2d\": [555, 380, 582, 421], \"label\": \"chicory seed\"},\n {\"box_2d\": [568, 390, 597, 432], \"label\": \"chicory seed\"},\n {\"box_2d\": [579, 348, 605, 389], \"label\": \"chicory seed\"},\n {\"box_2d\": [580, 306, 603, 350], \"label\": \"chicory seed\"},\n {\"box_2d\": [601, 332, 631, 370], \"label\": \"chicory seed\"},\n {\"box_2d\": [585, 405, 623, 435], \"label\": \"chicory seed\"},\n {\"box_2d\": [574, 437, 593, 480], \"label\": \"chicory seed\"},\n {\"box_2d\": [467, 452, 506, 484], \"label\": \"chicory seed\"},\n {\"box_2d\": [482, 479, 523, 502], \"label\": \"chicory seed\"},\n {\"box_2d\": [474, 499, 516, 523], \"label\": \"chicory seed\"},\n {\"box_2d\": [495, 509, 535, 537], \"label\": \"chicory seed\"},\n {\"box_2d\": [529, 484, 569, 509], \"label\": \"chicory seed\"},\n {\"box_2d\": [372, 552, 399, 593], \"label\": \"chicory seed\"},\n {\"box_2d\": [387, 525, 421, 561], \"label\": \"chicory seed\"},\n {\"box_2d\": [387, 549, 423, 582], \"label\": \"chicory seed\"},\n {\"box_2d\": [406, 515, 437, 555], \"label\": \"chicory seed\"},\n {\"box_2d\": [419, 503, 449, 544], \"label\": \"chicory seed\"},\n {\"box_2d\": [445, 516, 476, 551], \"label\": \"chicory seed\"},\n {\"box_2d\": [421, 555, 449, 594], \"label\": \"chicory seed\"},\n {\"box_2d\": [440, 543, 468, 581], \"label\": \"chicory seed\"},\n {\"box_2d\": [458, 546, 496, 578], \"label\": \"chicory seed\"},\n {\"box_2d\": [477, 524, 505, 563], \"label\": \"chicory seed\"},\n {\"box_2d\": [504, 534, 526, 577], \"label\": \"chicory seed\"},\n {\"box_2d\": [495, 559, 523, 598], \"label\": \"chicory seed\"},\n {\"box_2d\": [372, 594, 413, 614], \"label\": \"chicory seed\"},\n {\"box_2d\": [399, 578, 437, 605], \"label\": \"chicory seed\"},\n {\"box_2d\": [380, 610, 420, 634], \"label\": \"chicory seed\"},\n {\"box_2d\": [394, 625, 429, 653], \"label\": \"chicory seed\"},\n {\"box_2d\": [402, 636, 434, 672], \"label\": \"chicory seed\"},\n {\"box_2d\": [423, 606, 449, 648], \"label\": \"chicory seed\"},\n {\"box_2d\": [441, 606, 471, 644], \"label\": \"chicory seed\"},\n {\"box_2d\": [445, 586, 476, 624], \"label\": \"chicory seed\"},\n {\"box_2d\": [461, 576, 488, 616], \"label\": \"chicory seed\"},\n {\"box_2d\": [480, 578, 515, 615], \"label\": \"chicory seed\"},\n {\"box_2d\": [484, 612, 523, 637], \"label\": \"chicory seed\"},\n {\"box_2d\": [472, 623, 501, 656], \"label\": \"chicory seed\"},\n {\"box_2d\": [515, 595, 533, 632], \"label\": \"chicory seed\"},\n {\"box_2d\": [387, 661, 417, 695], \"label\": \"chicory seed\"},\n {\"box_2d\": [416, 647, 443, 686], \"label\": \"chicory seed\"},\n {\"box_2d\": [442, 649, 462, 691], \"label\": \"chicory seed\"},\n {\"box_2d\": [461, 642, 482, 682], \"label\": \"chicory seed\"},\n {\"box_2d\": [413, 690, 452, 712], \"label\": \"chicory seed\"},\n {\"box_2d\": [411, 712, 451, 733], \"label\": \"chicory seed\"},\n {\"box_2d\": [395, 735, 434, 767], \"label\": \"chicory seed\"},\n {\"box_2d\": [398, 774, 434, 808], \"label\": \"chicory seed\"},\n {\"box_2d\": [425, 754, 458, 779], \"label\": \"chicory seed\"},\n {\"box_2d\": [429, 780, 464, 813], \"label\": \"chicory seed\"},\n {\"box_2d\": [455, 688, 493, 717], \"label\": \"chicory seed\"},\n {\"box_2d\": [453, 726, 476, 767], \"label\": \"chicory seed\"},\n {\"box_2d\": [466, 752, 492, 792], \"label\": \"chicory seed\"},\n {\"box_2d\": [480, 725, 511, 763], \"label\": \"chicory seed\"},\n {\"box_2d\": [478, 796, 505, 833], \"label\": \"chicory seed\"},\n {\"box_2d\": [491, 804, 526, 841], \"label\": \"chicory seed\"},\n {\"box_2d\": [500, 781, 536, 803], \"label\": \"chicory seed\"},\n {\"box_2d\": [480, 654, 515, 675], \"label\": \"chicory seed\"},\n {\"box_2d\": [497, 659, 530, 689], \"label\": \"chicory seed\"},\n {\"box_2d\": [509, 636, 541, 668], \"label\": \"chicory seed\"},\n {\"box_2d\": [488, 683, 525, 713], \"label\": \"chicory seed\"},\n {\"box_2d\": [506, 705, 535, 743], \"label\": \"chicory seed\"},\n {\"box_2d\": [515, 741, 546, 776], \"label\": \"chicory seed\"},\n {\"box_2d\": [521, 669, 559, 689], \"label\": \"chicory seed\"},\n {\"box_2d\": [526, 689, 546, 732], \"label\": \"chicory seed\"},\n {\"box_2d\": [545, 694, 565, 736], \"label\": \"chicory seed\"},\n {\"box_2d\": [536, 740, 574, 769], \"label\": \"chicory seed\"},\n {\"box_2d\": [543, 772, 585, 792], \"label\": \"chicory seed\"},\n {\"box_2d\": [556, 679, 592, 708], \"label\": \"chicory seed\"},\n {\"box_2d\": [570, 695, 608, 726], \"label\": \"chicory seed\"},\n {\"box_2d\": [561, 730, 599, 750], \"label\": \"chicory seed\"},\n {\"box_2d\": [576, 749, 616, 769], \"label\": \"chicory seed\"},\n {\"box_2d\": [541, 512, 574, 543], \"label\": \"chicory seed\"},\n {\"box_2d\": [558, 497, 597, 519], \"label\": \"chicory seed\"},\n {\"box_2d\": [580, 474, 622, 495], \"label\": \"chicory seed\"},\n {\"box_2d\": [574, 520, 595, 557], \"label\": \"chicory seed\"},\n {\"box_2d\": [592, 524, 616, 565], \"label\": \"chicory seed\"},\n {\"box_2d\": [619, 521, 640, 563], \"label\": \"chicory seed\"},\n {\"box_2d\": [555, 553, 595, 575], \"label\": \"chicory seed\"},\n {\"box_2d\": [529, 571, 566, 592], \"label\": \"chicory seed\"},\n {\"box_2d\": [535, 589, 576, 611], \"label\": \"chicory seed\"},\n {\"box_2d\": [572, 567, 609, 598], \"label\": \"chicory seed\"},\n {\"box_2d\": [537, 608, 556, 645], \"label\": \"chicory seed\"},\n {\"box_2d\": [555, 611, 592, 644], \"label\": \"chicory seed\"},\n {\"box_2d\": [556, 636, 594, 669], \"label\": \"chicory seed\"},\n {\"box_2d\": [576, 602, 607, 637], \"label\": \"chicory seed\"},\n {\"box_2d\": [588, 635, 620, 670], \"label\": \"chicory seed\"},\n {\"box_2d\": [599, 580, 629, 619], \"label\": \"chicory seed\"},\n {\"box_2d\": [614, 562, 653, 583], \"label\": \"chicory seed\"},\n {\"box_2d\": [609, 605, 646, 639], \"label\": \"chicory seed\"},\n {\"box_2d\": [619, 635, 639, 678], \"label\": \"chicory seed\"},\n {\"box_2d\": [613, 681, 632, 727], \"label\": \"chicory seed\"},\n {\"box_2d\": [632, 674, 654, 715], \"label\": \"chicory seed\"},\n {\"box_2d\": [618, 735, 640, 774], \"label\": \"chicory seed\"},\n {\"box_2d\": [639, 709, 660, 752], \"label\": \"chicory seed\"},\n {\"box_2d\": [663, 718, 694, 756], \"label\": \"chicory seed\"},\n {\"box_2d\": [608, 491, 649, 512], \"label\": \"chicory seed\"},\n {\"box_2d\": [623, 459, 659, 489], \"label\": \"chicory seed\"},\n {\"box_2d\": [653, 545, 673, 587], \"label\": \"chicory seed\"},\n {\"box_2d\": [630, 416, 657, 455], \"label\": \"chicory seed\"},\n {\"box_2d\": [650, 407, 671, 449], \"label\": \"chicory seed\"},\n {\"box_2d\": [646, 370, 676, 409], \"label\": \"chicory seed\"},\n {\"box_2d\": [657, 452, 689, 488], \"label\": \"chicory seed\"},\n {\"box_2d\": [662, 486, 703, 509], \"label\": \"chicory seed\"},\n {\"box_2d\": [687, 463, 729, 485], \"label\": \"chicory seed\"},\n {\"box_2d\": [671, 414, 709, 443], \"label\": \"chicory seed\"},\n {\"box_2d\": [675, 388, 709, 411], \"label\": \"chicory seed\"},\n {\"box_2d\": [679, 345, 704, 386], \"label\": \"chicory seed\"},\n {\"box_2d\": [684, 329, 721, 353], \"label\": \"chicory seed\"},\n {\"box_2d\": [709, 278, 746, 310], \"label\": \"chicory seed\"},\n {\"box_2d\": [709, 406, 745, 441], \"label\": \"chicory seed\"},\n {\"box_2d\": [725, 443, 752, 482], \"label\": \"chicory seed\"},\n {\"box_2d\": [749, 411, 769, 454], \"label\": \"chicory seed\"},\n {\"box_2d\": [769, 356, 790, 396], \"label\": \"chicory seed\"},\n {\"box_2d\": [769, 396, 799, 433], \"label\": \"chicory seed\"},\n {\"box_2d\": [765, 454, 803, 475], \"label\": \"chicory seed\"},\n {\"box_2d\": [678, 533, 714, 568], \"label\": \"chicory seed\"},\n {\"box_2d\": [685, 555, 718, 593], \"label\": \"chicory seed\"},\n {\"box_2d\": [699, 567, 736, 601], \"label\": \"chicory seed\"},\n {\"box_2d\": [708, 584, 743, 619], \"label\": \"chicory seed\"},\n {\"box_2d\": [724, 500, 763, 521], \"label\": \"chicory seed\"},\n {\"box_2d\": [731, 520, 755, 561], \"label\": \"chicory seed\"},\n {\"box_2d\": [754, 511, 790, 545], \"label\": \"chicory seed\"},\n {\"box_2d\": [742, 553, 779, 584], \"label\": \"chicory seed\"},\n {\"box_2d\": [691, 639, 714, 680], \"label\": \"chicory seed\"},\n {\"box_2d\": [685, 681, 717, 718], \"label\": \"chicory seed\"},\n {\"box_2d\": [704, 661, 742, 692], \"label\": \"chicory seed\"},\n {\"box_2d\": [714, 642, 754, 662], \"label\": \"chicory seed\"},\n {\"box_2d\": [741, 602, 766, 647], \"label\": \"chicory seed\"},\n {\"box_2d\": [760, 602, 785, 642], \"label\": \"chicory seed\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 18422, "elapsed_seconds": 148.49408333410975, "metadata": {"match_method": "map", "num_predictions": 302, "num_ground_truth": 303, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3366336524486542, "attempts": 1, "retries": 0, "total_seconds": 148.6163}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 120, "image": "Screenshot-2024-05-16-144630_png.rf.ac24f71a7370686a36ea1f2bec910257.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [8, 120, 28, 139], \"label\": \"bullet hole\"},\n {\"box_2d\": [76, 126, 95, 146], \"label\": \"bullet hole\"},\n {\"box_2d\": [167, 137, 189, 159], \"label\": \"bullet hole\"},\n {\"box_2d\": [224, 143, 248, 165], \"label\": \"bullet hole\"},\n {\"box_2d\": [52, 341, 71, 365], \"label\": \"bullet hole\"},\n {\"box_2d\": [114, 340, 136, 364], \"label\": \"bullet hole\"},\n {\"box_2d\": [178, 339, 200, 363], \"label\": \"bullet hole\"},\n {\"box_2d\": [99, 565, 122, 585], \"label\": \"bullet hole\"},\n {\"box_2d\": [213, 507, 236, 530], \"label\": \"bullet hole\"},\n {\"box_2d\": [257, 610, 278, 633], \"label\": \"bullet hole\"},\n {\"box_2d\": [224, 670, 249, 695], \"label\": \"bullet hole\"},\n {\"box_2d\": [66, 809, 89, 832], \"label\": \"bullet hole\"},\n {\"box_2d\": [138, 793, 163, 818], \"label\": \"bullet hole\"},\n {\"box_2d\": [226, 847, 247, 870], \"label\": \"bullet hole\"},\n {\"box_2d\": [320, 668, 340, 694], \"label\": \"bullet hole\"},\n {\"box_2d\": [331, 834, 357, 859], \"label\": \"bullet hole\"},\n {\"box_2d\": [389, 829, 417, 851], \"label\": \"bullet hole\"},\n {\"box_2d\": [313, 560, 335, 582], \"label\": \"bullet hole\"},\n {\"box_2d\": [360, 608, 383, 631], \"label\": \"bullet hole\"},\n {\"box_2d\": [350, 273, 376, 297], \"label\": \"bullet hole\"},\n {\"box_2d\": [424, 217, 447, 243], \"label\": \"bullet hole\"},\n {\"box_2d\": [475, 156, 491, 173], \"label\": \"bullet hole\"},\n {\"box_2d\": [570, 93, 595, 116], \"label\": \"bullet hole\"},\n {\"box_2d\": [632, 34, 648, 55], \"label\": \"bullet hole\"},\n {\"box_2d\": [568, 270, 591, 293], \"label\": \"bullet hole\"},\n {\"box_2d\": [612, 247, 633, 271], \"label\": \"bullet hole\"},\n {\"box_2d\": [581, 363, 604, 386], \"label\": \"bullet hole\"},\n {\"box_2d\": [529, 463, 554, 488], \"label\": \"bullet hole\"},\n {\"box_2d\": [586, 611, 610, 632], \"label\": \"bullet hole\"},\n {\"box_2d\": [686, 608, 710, 632], \"label\": \"bullet hole\"},\n {\"box_2d\": [684, 452, 709, 476], \"label\": \"bullet hole\"},\n {\"box_2d\": [720, 354, 744, 382], \"label\": \"bullet hole\"},\n {\"box_2d\": [743, 173, 765, 193], \"label\": \"bullet hole\"},\n {\"box_2d\": [745, 258, 764, 285], \"label\": \"bullet hole\"},\n {\"box_2d\": [796, 236, 820, 256], \"label\": \"bullet hole\"},\n {\"box_2d\": [781, 341, 805, 363], \"label\": \"bullet hole\"},\n {\"box_2d\": [854, 321, 879, 343], \"label\": \"bullet hole\"},\n {\"box_2d\": [929, 169, 949, 188], \"label\": \"bullet hole\"},\n {\"box_2d\": [812, 517, 835, 540], \"label\": \"bullet hole\"},\n {\"box_2d\": [880, 456, 906, 480], \"label\": \"bullet hole\"},\n {\"box_2d\": [935, 537, 956, 561], \"label\": \"bullet hole\"},\n {\"box_2d\": [861, 607, 882, 634], \"label\": \"bullet hole\"},\n {\"box_2d\": [891, 780, 914, 804], \"label\": \"bullet hole\"},\n {\"box_2d\": [895, 887, 919, 909], \"label\": \"bullet hole\"}\n]\n```", "correct": false, "input_tokens": 1222, "output_tokens": 2907, "elapsed_seconds": 25.748149874969386, "metadata": {"match_method": "map", "num_predictions": 44, "num_ground_truth": 44, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5287728905677795, "attempts": 1, "retries": 0, "total_seconds": 25.7752}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 121, "image": "GP010255_JPG_jpg.rf.a9c124de642391662cf0875377214d1e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [66, 520, 167, 780], \"label\": \"carrot\"},\n {\"box_2d\": [122, 511, 200, 770], \"label\": \"carrot\"},\n {\"box_2d\": [94, 345, 245, 558], \"label\": \"carrot\"},\n {\"box_2d\": [138, 281, 288, 417], \"label\": \"carrot\"},\n {\"box_2d\": [212, 316, 342, 392], \"label\": \"carrot\"},\n {\"box_2d\": [177, 378, 300, 620], \"label\": \"carrot\"},\n {\"box_2d\": [184, 594, 344, 777], \"label\": \"carrot\"},\n {\"box_2d\": [309, 645, 462, 789], \"label\": \"carrot\"},\n {\"box_2d\": [270, 427, 416, 616], \"label\": \"carrot\"},\n {\"box_2d\": [241, 342, 434, 439], \"label\": \"carrot\"},\n {\"box_2d\": [314, 305, 492, 367], \"label\": \"carrot\"},\n {\"box_2d\": [438, 330, 483, 519], \"label\": \"carrot\"},\n {\"box_2d\": [381, 514, 636, 573], \"label\": \"carrot\"},\n {\"box_2d\": [441, 277, 709, 344], \"label\": \"carrot\"},\n {\"box_2d\": [461, 377, 622, 472], \"label\": \"carrot\"},\n {\"box_2d\": [495, 367, 703, 459], \"label\": \"carrot\"},\n {\"box_2d\": [517, 466, 720, 520], \"label\": \"carrot\"},\n {\"box_2d\": [573, 491, 764, 588], \"label\": \"carrot\"},\n {\"box_2d\": [489, 555, 731, 634], \"label\": \"carrot\"},\n {\"box_2d\": [461, 627, 675, 689], \"label\": \"carrot\"},\n {\"box_2d\": [459, 684, 694, 762], \"label\": \"carrot\"},\n {\"box_2d\": [666, 633, 814, 794], \"label\": \"carrot\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 1704, "elapsed_seconds": 17.13418245804496, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 17.1604}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 122, "image": "20210325_203749_jpg.rf.1705fa1e1420cef9584e0f51c930586c.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [200, 134, 405, 348], \"label\": \"50 euro cent coin\"},\n {\"box_2d\": [134, 425, 327, 620], \"label\": \"1 euro coin\"},\n {\"box_2d\": [158, 683, 322, 852], \"label\": \"10 euro cent coin\"},\n {\"box_2d\": [369, 480, 505, 620], \"label\": \"1 euro cent coin\"},\n {\"box_2d\": [439, 227, 603, 394], \"label\": \"2 euro cent coin\"},\n {\"box_2d\": [384, 750, 564, 933], \"label\": \"5 euro cent coin\"},\n {\"box_2d\": [612, 417, 805, 609], \"label\": \"20 euro cent coin\"},\n {\"box_2d\": [611, 634, 834, 858], \"label\": \"2 euro coin\"}\n]\n```", "correct": true, "input_tokens": 1272, "output_tokens": 997, "elapsed_seconds": 10.614092958974652, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 10.6267}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 123, "image": "53_jpeg_jpg.rf.827706d6e6ec3d14c5952c8d4c752e99.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [90, 378, 206, 491], \"label\": \"potato\"},\n {\"box_2d\": [125, 955, 250, 1000], \"label\": \"potato\"},\n {\"box_2d\": [313, 847, 428, 952], \"label\": \"potato\"},\n {\"box_2d\": [489, 573, 620, 689], \"label\": \"potato\"},\n {\"box_2d\": [519, 699, 623, 801], \"label\": \"potato\"},\n {\"box_2d\": [514, 845, 622, 949], \"label\": \"potato\"},\n {\"box_2d\": [710, 66, 798, 195], \"label\": \"potato\"},\n {\"box_2d\": [714, 415, 859, 500], \"label\": \"potato\"},\n {\"box_2d\": [720, 625, 822, 718], \"label\": \"potato\"},\n {\"box_2d\": [717, 889, 804, 971], \"label\": \"potato\"},\n {\"box_2d\": [919, 13, 1000, 111], \"label\": \"potato\"},\n {\"box_2d\": [923, 437, 1000, 528], \"label\": \"potato\"},\n {\"box_2d\": [921, 675, 1000, 771], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1240, "output_tokens": 1277, "elapsed_seconds": 12.085862166015431, "metadata": {"match_method": "map", "num_predictions": 13, "num_ground_truth": 13, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 12.1207}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 124, "image": "car-part-detection_Car-damages-1749_png_jpg.rf.841bd72a48ea0726dc55d3cf93207af1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [434, 74, 549, 129], \"label\": \"tail light\"},\n {\"box_2d\": [540, 58, 728, 177], \"label\": \"back bumper\"},\n {\"box_2d\": [279, 199, 721, 467], \"label\": \"back door\"},\n {\"box_2d\": [284, 206, 443, 435], \"label\": \"back window\"},\n {\"box_2d\": [279, 444, 721, 740], \"label\": \"front door\"},\n {\"box_2d\": [286, 452, 460, 683], \"label\": \"front window\"},\n {\"box_2d\": [406, 673, 471, 712], \"label\": \"mirror\"},\n {\"box_2d\": [401, 732, 479, 935], \"label\": \"hood\"},\n {\"box_2d\": [567, 895, 714, 987], \"label\": \"front bumper\"}\n]\n```", "correct": false, "input_tokens": 1246, "output_tokens": 1595, "elapsed_seconds": 17.118838792084716, "metadata": {"match_method": "map", "num_predictions": 9, "num_ground_truth": 13, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6254124641418457, "attempts": 1, "retries": 0, "total_seconds": 17.146}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 125, "image": "1704196661687_jpg.rf.15374227e4fbd79145880dc340991d51.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [77, 452, 173, 520], \"label\": \"bean grain\"},\n {\"box_2d\": [112, 583, 197, 676], \"label\": \"bean grain\"},\n {\"box_2d\": [191, 816, 271, 910], \"label\": \"bean grain\"},\n {\"box_2d\": [217, 535, 299, 642], \"label\": \"bean grain\"},\n {\"box_2d\": [188, 304, 297, 379], \"label\": \"bean grain\"},\n {\"box_2d\": [201, 142, 285, 212], \"label\": \"bean grain\"},\n {\"box_2d\": [374, 135, 446, 239], \"label\": \"bean grain\"},\n {\"box_2d\": [454, 381, 539, 480], \"label\": \"bean grain\"},\n {\"box_2d\": [387, 717, 493, 796], \"label\": \"bean grain\"},\n {\"box_2d\": [539, 859, 612, 964], \"label\": \"bean grain\"},\n {\"box_2d\": [638, 764, 702, 862], \"label\": \"bean grain\"},\n {\"box_2d\": [549, 563, 626, 666], \"label\": \"bean grain\"},\n {\"box_2d\": [646, 403, 714, 501], \"label\": \"bean grain\"},\n {\"box_2d\": [610, 158, 692, 267], \"label\": \"bean grain\"},\n {\"box_2d\": [802, 344, 891, 439], \"label\": \"bean grain\"},\n {\"box_2d\": [754, 558, 842, 650], \"label\": \"bean grain\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 1927, "elapsed_seconds": 17.500653958995827, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 17.5142}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 126, "image": "fall-detection_13_mp4-274_jpg.rf.81d37af519564fd17e00cbdde20bedcf.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [386, 473, 434, 541], \"label\": \"fallen person\"},\n {\"box_2d\": [384, 527, 448, 630], \"label\": \"fallen person\"},\n {\"box_2d\": [425, 591, 472, 728], \"label\": \"fallen person\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 694, "elapsed_seconds": 8.878825208055787, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 8.8898}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 127, "image": "tile_672_jpg.rf.563bc07bfb63272303ba7c8beec3dfd0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [22, 441, 80, 471], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [219, 712, 261, 737], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [332, 829, 355, 850], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [373, 332, 396, 366], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [434, 682, 471, 705], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [470, 828, 521, 864], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [514, 366, 540, 389], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [602, 690, 628, 707], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [608, 425, 628, 449], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [689, 824, 735, 859], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [876, 848, 921, 875], \"label\": \"ship in SAR satellite image\"}\n]\n```", "correct": true, "input_tokens": 1229, "output_tokens": 1861, "elapsed_seconds": 19.07760945800692, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8091809153556824, "attempts": 1, "retries": 0, "total_seconds": 19.1076}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 128, "image": "Screenshot-2024-05-16-150353_png.rf.28f931ef1556f4fbfc5b8964a85b5e08.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [23, 39, 53, 67], \"label\": \"bullet hole\"},\n {\"box_2d\": [58, 152, 95, 183], \"label\": \"bullet hole\"},\n {\"box_2d\": [107, 80, 141, 112], \"label\": \"bullet hole\"},\n {\"box_2d\": [69, 336, 102, 367], \"label\": \"bullet hole\"},\n {\"box_2d\": [28, 415, 60, 447], \"label\": \"bullet hole\"},\n {\"box_2d\": [205, 13, 243, 45], \"label\": \"bullet hole\"},\n {\"box_2d\": [202, 160, 240, 195], \"label\": \"bullet hole\"},\n {\"box_2d\": [252, 284, 286, 319], \"label\": \"bullet hole\"},\n {\"box_2d\": [194, 376, 228, 408], \"label\": \"bullet hole\"},\n {\"box_2d\": [180, 468, 213, 501], \"label\": \"bullet hole\"},\n {\"box_2d\": [300, 68, 335, 103], \"label\": \"bullet hole\"},\n {\"box_2d\": [325, 224, 358, 255], \"label\": \"bullet hole\"},\n {\"box_2d\": [375, 2, 408, 36], \"label\": \"bullet hole\"},\n {\"box_2d\": [431, 82, 463, 115], \"label\": \"bullet hole\"},\n {\"box_2d\": [387, 254, 421, 287], \"label\": \"bullet hole\"},\n {\"box_2d\": [461, 301, 493, 333], \"label\": \"bullet hole\"},\n {\"box_2d\": [509, 58, 540, 91], \"label\": \"bullet hole\"},\n {\"box_2d\": [81, 598, 113, 629], \"label\": \"bullet hole\"},\n {\"box_2d\": [112, 764, 144, 796], \"label\": \"bullet hole\"},\n {\"box_2d\": [124, 895, 156, 926], \"label\": \"bullet hole\"},\n {\"box_2d\": [76, 985, 109, 1000], \"label\": \"bullet hole\"},\n {\"box_2d\": [339, 764, 370, 795], \"label\": \"bullet hole\"},\n {\"box_2d\": [431, 619, 461, 654], \"label\": \"bullet hole\"},\n {\"box_2d\": [398, 986, 431, 1000], \"label\": \"bullet hole\"},\n {\"box_2d\": [550, 798, 581, 830], \"label\": \"bullet hole\"},\n {\"box_2d\": [586, 673, 621, 704], \"label\": \"bullet hole\"},\n {\"box_2d\": [735, 646, 767, 677], \"label\": \"bullet hole\"},\n {\"box_2d\": [796, 760, 826, 790], \"label\": \"bullet hole\"},\n {\"box_2d\": [709, 150, 744, 182], \"label\": \"bullet hole\"},\n {\"box_2d\": [711, 315, 740, 347], \"label\": \"bullet hole\"},\n {\"box_2d\": [812, 109, 845, 139], \"label\": \"bullet hole\"},\n {\"box_2d\": [826, 183, 859, 214], \"label\": \"bullet hole\"},\n {\"box_2d\": [810, 321, 841, 353], \"label\": \"bullet hole\"},\n {\"box_2d\": [918, 175, 949, 206], \"label\": \"bullet hole\"}\n]\n```", "correct": false, "input_tokens": 1222, "output_tokens": 2973, "elapsed_seconds": 24.724477625102736, "metadata": {"match_method": "map", "num_predictions": 34, "num_ground_truth": 34, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.4679880738258362, "attempts": 1, "retries": 0, "total_seconds": 24.7377}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 129, "image": "9999942_00000_d_0000179_jpg.rf.00eabf74c1cd10c40aa228a466f9fe04.jpg", "expected": "", "predicted": "[\n {\"box_2d\": [345, 0, 394, 24], \"label\": \"car\"},\n {\"box_2d\": [358, 17, 412, 60], \"label\": \"car\"},\n {\"box_2d\": [361, 56, 416, 100], \"label\": \"car\"},\n {\"box_2d\": [335, 138, 390, 170], \"label\": \"van\"},\n {\"box_2d\": [331, 188, 381, 223], \"label\": \"car\"},\n {\"box_2d\": [334, 251, 369, 299], \"label\": \"car\"},\n {\"box_2d\": [299, 276, 330, 326], \"label\": \"car\"},\n {\"box_2d\": [298, 378, 330, 424], \"label\": \"car\"},\n {\"box_2d\": [376, 372, 408, 421], \"label\": \"car\"},\n {\"box_2d\": [434, 355, 469, 409], \"label\": \"car\"},\n {\"box_2d\": [466, 346, 504, 400], \"label\": \"car\"},\n {\"box_2d\": [611, 131, 661, 200], \"label\": \"car\"},\n {\"box_2d\": [651, 112, 707, 179], \"label\": \"car\"},\n {\"box_2d\": [721, 257, 745, 273], \"label\": \"person\"},\n {\"box_2d\": [82, 394, 102, 423], \"label\": \"car\"},\n {\"box_2d\": [40, 763, 100, 785], \"label\": \"bus\"},\n {\"box_2d\": [176, 833, 272, 876], \"label\": \"bus\"},\n {\"box_2d\": [306, 680, 343, 719], \"label\": \"car\"},\n {\"box_2d\": [326, 970, 364, 996], \"label\": \"car\"},\n {\"box_2d\": [114, 976, 148, 1000], \"label\": \"van\"},\n {\"box_2d\": [75, 936, 128, 967], \"label\": \"truck\"},\n {\"box_2d\": [47, 913, 68, 929], \"label\": \"car\"}\n]", "correct": false, "input_tokens": 1217, "output_tokens": 1837, "elapsed_seconds": 17.59885737497825, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 36, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.36388251185417175, "attempts": 1, "retries": 0, "total_seconds": 17.6739}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 130, "image": "125_jpg.rf.c69f3d1b75a33297315d1889af6311e9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [505, 149, 631, 187], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [345, 267, 393, 307], \"label\": \"resistor symbol\"},\n {\"box_2d\": [530, 372, 686, 395], \"label\": \"resistor symbol\"},\n {\"box_2d\": [340, 463, 390, 507], \"label\": \"resistor symbol\"},\n {\"box_2d\": [545, 634, 724, 656], \"label\": \"resistor symbol\"},\n {\"box_2d\": [356, 721, 405, 773], \"label\": \"resistor symbol\"},\n {\"box_2d\": [139, 734, 249, 783], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [516, 840, 646, 860], \"label\": \"resistor symbol\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 963, "elapsed_seconds": 8.318136207992211, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 8.3233}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 131, "image": "IMG_20250815_164311_jpg.rf.83efd32a603d001fd15e3979d744bb04.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [550, 184, 616, 260], \"label\": \"barcode\"},\n {\"box_2d\": [625, 694, 697, 771], \"label\": \"barcode\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 561, "elapsed_seconds": 10.155615750001743, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 10.4909}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 132, "image": "Container-259_jpg.rf.0707fcc208504e8c70d360815ec87ed2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [236, 582, 293, 730], \"label\": \"shipping container number\"},\n {\"box_2d\": [291, 580, 320, 637], \"label\": \"container ISO type code\"}\n]\n```", "correct": true, "input_tokens": 1232, "output_tokens": 435, "elapsed_seconds": 6.127293250057846, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 6.138}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 133, "image": "1704195139360_jpg.rf.325f2c91dbc2bf8869d0a95b29652b2f.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [119, 736, 159, 783], \"label\": \"lentil grain\"},\n {\"box_2d\": [205, 436, 248, 483], \"label\": \"lentil grain\"},\n {\"box_2d\": [303, 822, 339, 867], \"label\": \"lentil grain\"},\n {\"box_2d\": [309, 750, 347, 791], \"label\": \"lentil grain\"},\n {\"box_2d\": [336, 564, 372, 606], \"label\": \"lentil grain\"},\n {\"box_2d\": [411, 253, 453, 297], \"label\": \"lentil grain\"},\n {\"box_2d\": [470, 614, 509, 653], \"label\": \"lentil grain\"},\n {\"box_2d\": [533, 861, 575, 908], \"label\": \"lentil grain\"},\n {\"box_2d\": [555, 431, 592, 475], \"label\": \"lentil grain\"},\n {\"box_2d\": [614, 616, 655, 659], \"label\": \"lentil grain\"},\n {\"box_2d\": [630, 534, 672, 578], \"label\": \"lentil grain\"},\n {\"box_2d\": [750, 742, 792, 794], \"label\": \"lentil grain\"},\n {\"box_2d\": [797, 434, 836, 480], \"label\": \"lentil grain\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 1283, "elapsed_seconds": 12.77992041700054, "metadata": {"match_method": "map", "num_predictions": 13, "num_ground_truth": 13, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 12.7908}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 134, "image": "IMG_20250815_165037_jpg.rf.d4afcf541c2eaa2a500b0fc3e74f380a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [121, 265, 212, 312], \"label\": \"barcode\"},\n {\"box_2d\": [301, 427, 342, 471], \"label\": \"barcode\"},\n {\"box_2d\": [272, 566, 310, 608], \"label\": \"barcode\"},\n {\"box_2d\": [280, 843, 360, 882], \"label\": \"barcode\"},\n {\"box_2d\": [795, 220, 889, 268], \"label\": \"barcode\"},\n {\"box_2d\": [809, 429, 898, 474], \"label\": \"barcode\"},\n {\"box_2d\": [804, 665, 890, 707], \"label\": \"barcode\"},\n {\"box_2d\": [760, 823, 799, 860], \"label\": \"barcode\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 1106, "elapsed_seconds": 15.402338583022356, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 15.6934}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 135, "image": "frame_0213_jpg.rf.a492e6ad2bcd535fad151a853f122d53.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [75, 127, 138, 167], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [86, 253, 148, 291], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [172, 232, 234, 273], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [164, 349, 228, 386], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [49, 411, 111, 450], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [189, 455, 245, 489], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [272, 442, 334, 476], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [106, 554, 168, 587], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [63, 619, 119, 652], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [212, 547, 270, 581], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [283, 544, 340, 580], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [427, 233, 495, 273], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [421, 466, 483, 505], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [419, 547, 484, 583], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [535, 365, 611, 405], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [623, 362, 696, 405], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [633, 241, 706, 282], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [739, 349, 825, 394], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [709, 451, 789, 493], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [834, 470, 913, 512], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [557, 562, 628, 605], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [576, 603, 622, 632], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [678, 556, 747, 610], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [544, 670, 610, 708], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 173, 41, 212], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 224, 41, 258], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 256, 42, 287], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 290, 44, 326], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [3, 418, 53, 454], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 522, 47, 553], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [10, 548, 52, 577], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [6, 583, 53, 614], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [19, 623, 63, 655], \"label\": \"garlic on conveyor\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 3736, "elapsed_seconds": 37.765152666019276, "metadata": {"match_method": "map", "num_predictions": 33, "num_ground_truth": 23, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9962871074676514, "attempts": 1, "retries": 0, "total_seconds": 37.8584}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 136, "image": "1668147836__jpg.rf.c1a720811dddd913a56ced8dd87e3a53.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [52, 362, 109, 389], \"label\": \"three die\"},\n {\"box_2d\": [47, 714, 106, 745], \"label\": \"five die\"},\n {\"box_2d\": [244, 142, 308, 177], \"label\": \"two die\"},\n {\"box_2d\": [245, 179, 299, 208], \"label\": \"one die\"},\n {\"box_2d\": [275, 284, 329, 311], \"label\": \"four die\"},\n {\"box_2d\": [232, 410, 287, 437], \"label\": \"two die\"},\n {\"box_2d\": [260, 565, 324, 599], \"label\": \"five die\"},\n {\"box_2d\": [214, 742, 273, 773], \"label\": \"three die\"},\n {\"box_2d\": [340, 480, 396, 509], \"label\": \"six die\"},\n {\"box_2d\": [314, 527, 377, 560], \"label\": \"five die\"},\n {\"box_2d\": [344, 565, 397, 592], \"label\": \"three die\"},\n {\"box_2d\": [398, 569, 457, 601], \"label\": \"one die\"},\n {\"box_2d\": [468, 568, 523, 597], \"label\": \"three die\"},\n {\"box_2d\": [373, 657, 425, 685], \"label\": \"one die\"},\n {\"box_2d\": [340, 731, 405, 767], \"label\": \"four die\"},\n {\"box_2d\": [429, 798, 485, 830], \"label\": \"six die\"},\n {\"box_2d\": [434, 827, 495, 860], \"label\": \"three die\"},\n {\"box_2d\": [546, 847, 607, 882], \"label\": \"one die\"},\n {\"box_2d\": [559, 902, 621, 937], \"label\": \"two die\"},\n {\"box_2d\": [403, 351, 454, 377], \"label\": \"four die\"},\n {\"box_2d\": [428, 380, 486, 411], \"label\": \"four die\"},\n {\"box_2d\": [461, 315, 524, 349], \"label\": \"four die\"},\n {\"box_2d\": [495, 148, 553, 181], \"label\": \"five die\"},\n {\"box_2d\": [524, 274, 580, 304], \"label\": \"five die\"},\n {\"box_2d\": [568, 283, 626, 315], \"label\": \"five die\"},\n {\"box_2d\": [583, 350, 636, 378], \"label\": \"three die\"},\n {\"box_2d\": [533, 458, 595, 491], \"label\": \"four die\"},\n {\"box_2d\": [604, 568, 658, 597], \"label\": \"four die\"},\n {\"box_2d\": [537, 628, 590, 656], \"label\": \"four die\"},\n {\"box_2d\": [618, 139, 679, 174], \"label\": \"five die\"},\n {\"box_2d\": [647, 191, 704, 223], \"label\": \"four die\"},\n {\"box_2d\": [660, 274, 714, 306], \"label\": \"four die\"},\n {\"box_2d\": [711, 277, 761, 304], \"label\": \"six die\"},\n {\"box_2d\": [758, 271, 809, 301], \"label\": \"four die\"},\n {\"box_2d\": [733, 244, 787, 274], \"label\": \"three die\"},\n {\"box_2d\": [725, 211, 787, 245], \"label\": \"four die\"},\n {\"box_2d\": [759, 183, 821, 218], \"label\": \"three die\"},\n {\"box_2d\": [811, 241, 871, 274], \"label\": \"six die\"},\n {\"box_2d\": [785, 300, 840, 330], \"label\": \"five die\"},\n {\"box_2d\": [634, 436, 696, 471], \"label\": \"four die\"},\n {\"box_2d\": [734, 463, 793, 495], \"label\": \"four die\"},\n {\"box_2d\": [696, 509, 749, 537], \"label\": \"six die\"},\n {\"box_2d\": [894, 405, 956, 439], \"label\": \"one die\"},\n {\"box_2d\": [643, 761, 694, 789], \"label\": \"six die\"},\n {\"box_2d\": [750, 717, 811, 753], \"label\": \"three die\"},\n {\"box_2d\": [756, 792, 814, 826], \"label\": \"six die\"},\n {\"box_2d\": [723, 825, 780, 857], \"label\": \"four die\"},\n {\"box_2d\": [800, 824, 853, 854], \"label\": \"two die\"},\n {\"box_2d\": [805, 909, 860, 942], \"label\": \"two die\"},\n {\"box_2d\": [913, 777, 961, 806], \"label\": \"two die\"}\n]\n```", "correct": false, "input_tokens": 1252, "output_tokens": 4400, "elapsed_seconds": 41.46665241708979, "metadata": {"match_method": "map", "num_predictions": 50, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7513025999069214, "attempts": 1, "retries": 0, "total_seconds": 41.5142}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 137, "image": "Lego_170_high_jpeg.rf.173b945a080a292465fe84cab83086af.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [114, 96, 215, 206], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [196, 86, 282, 184], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [193, 152, 270, 254], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [252, 155, 315, 266], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [84, 239, 154, 344], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [150, 306, 206, 393], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [363, 35, 444, 137], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [393, 102, 479, 198], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [331, 296, 377, 400], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [227, 498, 330, 599], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [260, 574, 344, 651], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [395, 376, 491, 427], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [380, 427, 452, 526], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [472, 391, 557, 480], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [473, 463, 566, 545], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [520, 256, 592, 362], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [546, 346, 624, 459], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [590, 320, 667, 429], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [618, 415, 689, 500], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [635, 102, 696, 196], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [645, 217, 744, 290], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [651, 254, 725, 342], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [696, 281, 764, 384], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [716, 423, 801, 499], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [696, 474, 756, 578], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [748, 498, 847, 566], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [116, 735, 174, 833], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [118, 878, 163, 974], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [175, 814, 268, 918], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [335, 753, 409, 838], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [407, 769, 487, 832], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [484, 709, 581, 769], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [537, 756, 640, 825], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [584, 928, 666, 991], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [711, 700, 797, 780], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [669, 780, 766, 835], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [670, 825, 741, 905], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [734, 827, 811, 891], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [702, 896, 786, 962], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [805, 813, 885, 898], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [849, 796, 930, 882], \"label\": \"lego 3x2 brick\"}\n]\n```", "correct": true, "input_tokens": 1244, "output_tokens": 4044, "elapsed_seconds": 30.864033332909457, "metadata": {"match_method": "map", "num_predictions": 41, "num_ground_truth": 42, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9801980257034302, "attempts": 1, "retries": 0, "total_seconds": 30.9393}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 138, "image": "DJI_0290_JPG_jpg.rf.052c45a410708d5965bfee1fe9dd1918.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [482, 370, 589, 483], \"label\": \"excavator\"},\n {\"box_2d\": [319, 195, 369, 250], \"label\": \"excavator\"},\n {\"box_2d\": [288, 417, 361, 488], \"label\": \"concrete mixer\"},\n {\"box_2d\": [133, 217, 176, 254], \"label\": \"concrete mixer\"},\n {\"box_2d\": [199, 302, 249, 348], \"label\": \"dump truck\"},\n {\"box_2d\": [56, 0, 1000, 165], \"label\": \"tower crane\"}\n]\n```", "correct": true, "input_tokens": 1209, "output_tokens": 1004, "elapsed_seconds": 26.273361457977444, "metadata": {"match_method": "map", "num_predictions": 6, "num_ground_truth": 6, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 27.1191}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 139, "image": "oil-tank-detection_oiltank_165_jpg.rf.7a5e38aa38fc11f1234038d454ec044d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [578, 12, 709, 122], \"label\": \"oil tank\"},\n {\"box_2d\": [576, 128, 708, 238], \"label\": \"oil tank\"},\n {\"box_2d\": [572, 245, 705, 355], \"label\": \"oil tank\"},\n {\"box_2d\": [556, 360, 700, 482], \"label\": \"oil tank\"},\n {\"box_2d\": [551, 489, 697, 608], \"label\": \"oil tank\"},\n {\"box_2d\": [546, 616, 694, 738], \"label\": \"oil tank\"},\n {\"box_2d\": [541, 744, 689, 867], \"label\": \"oil tank\"},\n {\"box_2d\": [719, 12, 853, 121], \"label\": \"oil tank\"},\n {\"box_2d\": [717, 129, 849, 240], \"label\": \"oil tank\"},\n {\"box_2d\": [713, 247, 846, 356], \"label\": \"oil tank\"},\n {\"box_2d\": [712, 361, 860, 486], \"label\": \"oil tank\"},\n {\"box_2d\": [708, 492, 857, 614], \"label\": \"oil tank\"},\n {\"box_2d\": [704, 621, 853, 745], \"label\": \"oil tank\"},\n {\"box_2d\": [699, 750, 848, 875], \"label\": \"oil tank\"}\n]\n```", "correct": true, "input_tokens": 1217, "output_tokens": 1137, "elapsed_seconds": 9.980800708057359, "metadata": {"match_method": "map", "num_predictions": 14, "num_ground_truth": 14, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 10.0332}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 140, "image": "img268_png.rf.77932c9124f7e63f288e2be4179d983b.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [30, 388, 110, 458], \"label\": \"and gate symbol\"},\n {\"box_2d\": [78, 252, 111, 298], \"label\": \"not gate symbol\"},\n {\"box_2d\": [79, 545, 160, 617], \"label\": \"and gate symbol\"},\n {\"box_2d\": [153, 410, 186, 456], \"label\": \"not gate symbol\"},\n {\"box_2d\": [154, 702, 234, 775], \"label\": \"or gate symbol\"},\n {\"box_2d\": [228, 545, 308, 617], \"label\": \"and gate symbol\"},\n {\"box_2d\": [276, 410, 310, 456], \"label\": \"not gate symbol\"},\n {\"box_2d\": [277, 860, 358, 932], \"label\": \"or gate symbol\"},\n {\"box_2d\": [351, 545, 431, 617], \"label\": \"and gate symbol\"},\n {\"box_2d\": [401, 704, 480, 777], \"label\": \"and gate symbol\"},\n {\"box_2d\": [473, 569, 507, 616], \"label\": \"not gate symbol\"},\n {\"box_2d\": [547, 252, 581, 298], \"label\": \"not gate symbol\"},\n {\"box_2d\": [548, 388, 628, 458], \"label\": \"and gate symbol\"},\n {\"box_2d\": [597, 545, 678, 617], \"label\": \"and gate symbol\"},\n {\"box_2d\": [622, 252, 655, 298], \"label\": \"not gate symbol\"},\n {\"box_2d\": [648, 702, 728, 775], \"label\": \"or gate symbol\"},\n {\"box_2d\": [720, 410, 754, 456], \"label\": \"not gate symbol\"},\n {\"box_2d\": [722, 545, 801, 617], \"label\": \"and gate symbol\"},\n {\"box_2d\": [746, 860, 827, 932], \"label\": \"or gate symbol\"},\n {\"box_2d\": [844, 410, 878, 456], \"label\": \"not gate symbol\"},\n {\"box_2d\": [844, 545, 926, 617], \"label\": \"and gate symbol\"},\n {\"box_2d\": [869, 704, 949, 777], \"label\": \"and gate symbol\"}\n]\n```", "correct": true, "input_tokens": 1231, "output_tokens": 2181, "elapsed_seconds": 17.7842536669923, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 17.7953}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 141, "image": "170211-2-h_JPG_jpg.rf.4b0d2b71f289bdb00cd0502c7a7a2a5d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [248, 463, 928, 567], \"label\": \"insulator flashover\"}\n]\n```", "correct": false, "input_tokens": 1218, "output_tokens": 502, "elapsed_seconds": 14.323618000023998, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 14.792}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 142, "image": "floorplan-windows-doors_10361_png.rf.0282a156e3e18e32c9b31eca83a8df92.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [90, 121, 154, 199], \"label\": \"door\"},\n {\"box_2d\": [187, 174, 286, 199], \"label\": \"window\"},\n {\"box_2d\": [312, 174, 411, 199], \"label\": \"window\"},\n {\"box_2d\": [436, 174, 535, 199], \"label\": \"window\"},\n {\"box_2d\": [636, 174, 735, 199], \"label\": \"window\"},\n {\"box_2d\": [867, 289, 890, 396], \"label\": \"window\"},\n {\"box_2d\": [869, 777, 892, 886], \"label\": \"window\"},\n {\"box_2d\": [869, 588, 941, 656], \"label\": \"door\"},\n {\"box_2d\": [727, 587, 791, 657], \"label\": \"door\"},\n {\"box_2d\": [612, 475, 670, 540], \"label\": \"door\"},\n {\"box_2d\": [548, 475, 606, 540], \"label\": \"door\"},\n {\"box_2d\": [545, 719, 603, 785], \"label\": \"door\"},\n {\"box_2d\": [482, 591, 539, 656], \"label\": \"door\"},\n {\"box_2d\": [356, 703, 413, 769], \"label\": \"door\"},\n {\"box_2d\": [287, 767, 344, 828], \"label\": \"door\"},\n {\"box_2d\": [151, 768, 206, 822], \"label\": \"door\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 2067, "elapsed_seconds": 18.6841847919859, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 18.7455}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 143, "image": "IMG_0588_jpeg.rf.ff3a785b0ac1ba5a56ab8eed6ca615a1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [36, 574, 96, 648], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [247, 549, 314, 629], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [238, 742, 317, 819], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [376, 481, 476, 532], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [440, 629, 513, 703], \"label\": \"caramel corn jelly bean\"},\n {\"box_2d\": [618, 553, 718, 603], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [628, 734, 736, 784], \"label\": \"mixed berry smoothie jelly bean\"}\n]\n```", "correct": true, "input_tokens": 1219, "output_tokens": 885, "elapsed_seconds": 11.52523987495806, "metadata": {"match_method": "map", "num_predictions": 7, "num_ground_truth": 7, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 11.5621}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 144, "image": "signatures_image_100_png_jpg.rf.1b732e075f2453b4400e76d3923fe526.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [321, 70, 396, 433], \"label\": \"signature\"},\n {\"box_2d\": [345, 526, 390, 895], \"label\": \"signature\"},\n {\"box_2d\": [463, 121, 543, 455], \"label\": \"signature\"},\n {\"box_2d\": [450, 555, 517, 822], \"label\": \"signature\"},\n {\"box_2d\": [585, 104, 641, 429], \"label\": \"signature\"}\n]\n```", "correct": true, "input_tokens": 1200, "output_tokens": 585, "elapsed_seconds": 6.543245250009932, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 6.5579}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 145, "image": "paper-parts_8548_70_jpg.rf.61a39e9181e5ebef57cae728c932b730.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [99, 200, 394, 825], \"label\": \"figure\"},\n {\"box_2d\": [400, 117, 431, 882], \"label\": \"figure caption\"},\n {\"box_2d\": [481, 117, 512, 882], \"label\": \"table caption\"},\n {\"box_2d\": [531, 108, 583, 891], \"label\": \"table\"},\n {\"box_2d\": [633, 117, 654, 312], \"label\": \"subsection\"},\n {\"box_2d\": [674, 117, 725, 882], \"label\": \"paragraph\"},\n {\"box_2d\": [742, 305, 759, 882], \"label\": \"equation\"},\n {\"box_2d\": [778, 117, 881, 882], \"label\": \"paragraph\"},\n {\"box_2d\": [900, 490, 913, 509], \"label\": \"page number\"}\n]\n```", "correct": true, "input_tokens": 1255, "output_tokens": 1021, "elapsed_seconds": 10.068914042087272, "metadata": {"match_method": "map", "num_predictions": 9, "num_ground_truth": 9, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8749998807907104, "attempts": 1, "retries": 0, "total_seconds": 10.1195}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 146, "image": "19_jpeg_jpg.rf.34c89435b5ff9122cacb0cab18a49f99.jpg", "expected": "", "predicted": "[{\"box_2d\": [34, 19, 127, 105], \"label\": \"potato\"}, {\"box_2d\": [7, 331, 97, 428], \"label\": \"potato\"}, {\"box_2d\": [21, 783, 134, 894], \"label\": \"potato\"}, {\"box_2d\": [222, 0, 314, 83], \"label\": \"potato\"}, {\"box_2d\": [184, 276, 297, 356], \"label\": \"potato\"}, {\"box_2d\": [189, 394, 293, 477], \"label\": \"potato\"}, {\"box_2d\": [196, 547, 307, 667], \"label\": \"potato\"}, {\"box_2d\": [217, 790, 321, 902], \"label\": \"potato\"}, {\"box_2d\": [404, 65, 497, 152], \"label\": \"potato\"}, {\"box_2d\": [404, 327, 506, 414], \"label\": \"potato\"}, {\"box_2d\": [396, 488, 513, 570], \"label\": \"potato\"}, {\"box_2d\": [395, 709, 526, 795], \"label\": \"potato\"}, {\"box_2d\": [353, 980, 501, 1000], \"label\": \"potato\"}, {\"box_2d\": [602, 57, 711, 176], \"label\": \"potato\"}, {\"box_2d\": [609, 780, 715, 865], \"label\": \"potato\"}, {\"box_2d\": [792, 34, 900, 143], \"label\": \"potato\"}, {\"box_2d\": [828, 485, 932, 581], \"label\": \"potato\"}, {\"box_2d\": [844, 933, 949, 1000], \"label\": \"potato\"}]", "correct": true, "input_tokens": 1240, "output_tokens": 1868, "elapsed_seconds": 17.577270374982618, "metadata": {"match_method": "map", "num_predictions": 18, "num_ground_truth": 18, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9251925349235535, "attempts": 1, "retries": 0, "total_seconds": 17.6143}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 147, "image": "f12_jpg.rf.fa104f4d104f326761c5485949eec7bb.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [317, 234, 614, 381], \"label\": \"wildfire\"},\n {\"box_2d\": [310, 595, 565, 795], \"label\": \"wildfire\"},\n {\"box_2d\": [715, 92, 940, 422], \"label\": \"wildfire\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 1056, "elapsed_seconds": 16.029680000036024, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 16.1241}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 148, "image": "f36_jpg.rf.8c77ed13627d4f4c8abf32c1c7573442.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 68, 594, 309], \"label\": \"wildfire\"},\n {\"box_2d\": [0, 653, 419, 836], \"label\": \"wildfire\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 1201, "elapsed_seconds": 21.10830454202369, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 21.1966}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 149, "image": "46_jpg.rf.ed53b85cf8112394121da4a88ce9efc4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [573, 149, 724, 215], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [526, 301, 648, 325], \"label\": \"resistor symbol\"},\n {\"box_2d\": [375, 376, 430, 439], \"label\": \"resistor symbol\"},\n {\"box_2d\": [172, 470, 304, 534], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [568, 464, 717, 522], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [380, 560, 441, 636], \"label\": \"resistor symbol\"},\n {\"box_2d\": [536, 668, 682, 694], \"label\": \"resistor symbol\"},\n {\"box_2d\": [604, 807, 730, 860], \"label\": \"dc current source symbol\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 1141, "elapsed_seconds": 10.554345833021216, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 10.6261}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 150, "image": "Lego_131_low_jpeg.rf.be14ef4b77b52f77c1ed45c59ee5b3a4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [187, 34, 286, 149], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [145, 146, 217, 253], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [125, 275, 210, 391], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [42, 438, 138, 550], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [64, 617, 152, 695], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [149, 622, 236, 694], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [0, 728, 69, 797], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [182, 930, 286, 987], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [247, 228, 336, 319], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [226, 311, 306, 424], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [274, 507, 353, 597], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [251, 651, 325, 747], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [373, 267, 466, 332], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [436, 280, 538, 357], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [514, 159, 599, 262], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [517, 331, 597, 405], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [450, 526, 494, 629], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [352, 686, 449, 746], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [373, 730, 476, 809], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [442, 801, 541, 891], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [467, 746, 570, 833], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [534, 818, 600, 898], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [457, 945, 546, 1000], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [596, 369, 661, 458], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [658, 343, 718, 449], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [636, 190, 704, 297], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [698, 171, 766, 278], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [714, 386, 793, 469], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [681, 438, 766, 526], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [813, 261, 906, 373], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [789, 424, 866, 515], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [745, 595, 832, 679], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [812, 729, 881, 825], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [754, 787, 860, 883], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [687, 916, 786, 999], \"label\": \"lego 4x1 brick\"}\n]\n```", "correct": true, "input_tokens": 1244, "output_tokens": 3296, "elapsed_seconds": 25.185287041938864, "metadata": {"match_method": "map", "num_predictions": 35, "num_ground_truth": 35, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9007131457328796, "attempts": 1, "retries": 0, "total_seconds": 25.2437}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 151, "image": "IMG_6677_jpeg_jpg.rf.66bd4292eb85ae8da61a8cef3e3384f8.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [374, 30, 459, 246], \"label\": \"green poker chip\"},\n {\"box_2d\": [401, 48, 476, 255], \"label\": \"green poker chip\"},\n {\"box_2d\": [421, 51, 495, 259], \"label\": \"green poker chip\"},\n {\"box_2d\": [454, 51, 508, 253], \"label\": \"green poker chip\"},\n {\"box_2d\": [472, 51, 526, 253], \"label\": \"green poker chip\"},\n {\"box_2d\": [484, 52, 540, 253], \"label\": \"green poker chip\"},\n {\"box_2d\": [501, 52, 557, 253], \"label\": \"green poker chip\"},\n {\"box_2d\": [517, 52, 576, 253], \"label\": \"green poker chip\"},\n {\"box_2d\": [534, 54, 591, 252], \"label\": \"green poker chip\"},\n {\"box_2d\": [544, 51, 610, 249], \"label\": \"green poker chip\"},\n {\"box_2d\": [369, 290, 456, 489], \"label\": \"orange poker chip\"},\n {\"box_2d\": [420, 294, 474, 490], \"label\": \"orange poker chip\"},\n {\"box_2d\": [435, 295, 491, 490], \"label\": \"orange poker chip\"},\n {\"box_2d\": [454, 295, 509, 489], \"label\": \"orange poker chip\"},\n {\"box_2d\": [473, 295, 526, 489], \"label\": \"orange poker chip\"},\n {\"box_2d\": [491, 294, 545, 484], \"label\": \"orange poker chip\"},\n {\"box_2d\": [505, 295, 562, 484], \"label\": \"orange poker chip\"},\n {\"box_2d\": [521, 297, 578, 483], \"label\": \"orange poker chip\"},\n {\"box_2d\": [529, 300, 588, 485], \"label\": \"orange poker chip\"},\n {\"box_2d\": [532, 315, 608, 491], \"label\": \"orange poker chip\"},\n {\"box_2d\": [460, 530, 559, 718], \"label\": \"orange poker chip\"},\n {\"box_2d\": [501, 522, 581, 711], \"label\": \"orange poker chip\"},\n {\"box_2d\": [532, 520, 614, 715], \"label\": \"orange poker chip\"},\n {\"box_2d\": [449, 706, 541, 902], \"label\": \"green poker chip\"},\n {\"box_2d\": [501, 716, 580, 922], \"label\": \"green poker chip\"},\n {\"box_2d\": [525, 725, 603, 933], \"label\": \"green poker chip\"}\n]\n```", "correct": true, "input_tokens": 1231, "output_tokens": 3778, "elapsed_seconds": 27.053448125021532, "metadata": {"match_method": "map", "num_predictions": 26, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 27.0772}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 152, "image": "indir-1-_jpeg_jpg.rf.8d614705afcf35f2ac222aa7d9e608ff.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [428, 154, 515, 290], \"label\": \"dimension annotation\"},\n {\"box_2d\": [446, 628, 502, 728], \"label\": \"dimension annotation\"},\n {\"box_2d\": [563, 157, 646, 307], \"label\": \"dimension annotation\"},\n {\"box_2d\": [611, 655, 659, 750], \"label\": \"dimension annotation\"},\n {\"box_2d\": [681, 339, 699, 532], \"label\": \"dimension annotation\"},\n {\"box_2d\": [760, 139, 799, 189], \"label\": \"dimension annotation\"},\n {\"box_2d\": [749, 196, 795, 273], \"label\": \"dimension annotation\"},\n {\"box_2d\": [766, 611, 786, 675], \"label\": \"dimension annotation\"},\n {\"box_2d\": [775, 700, 816, 725], \"label\": \"dimension annotation\"},\n {\"box_2d\": [796, 735, 825, 760], \"label\": \"dimension annotation\"},\n {\"box_2d\": [726, 735, 757, 760], \"label\": \"dimension annotation\"},\n {\"box_2d\": [726, 783, 825, 808], \"label\": \"dimension annotation\"},\n {\"box_2d\": [849, 317, 867, 429], \"label\": \"dimension annotation\"},\n {\"box_2d\": [849, 628, 868, 754], \"label\": \"dimension annotation\"},\n {\"box_2d\": [914, 208, 984, 977], \"label\": \"technical drawing table\"}\n]\n```", "correct": false, "input_tokens": 1233, "output_tokens": 2436, "elapsed_seconds": 22.82274920900818, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.514851450920105, "attempts": 1, "retries": 0, "total_seconds": 22.8333}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 153, "image": "1217_4_jpg.rf.834d702ab7cd425111d5c60612f66627.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [9, 36, 108, 130], \"label\": \"black rook\"},\n {\"box_2d\": [26, 132, 120, 240], \"label\": \"black knight\"},\n {\"box_2d\": [16, 284, 118, 374], \"label\": \"black bishop\"},\n {\"box_2d\": [0, 404, 122, 493], \"label\": \"black king\"},\n {\"box_2d\": [0, 526, 121, 613], \"label\": \"black queen\"},\n {\"box_2d\": [24, 654, 129, 744], \"label\": \"black bishop\"},\n {\"box_2d\": [5, 769, 114, 880], \"label\": \"black knight\"},\n {\"box_2d\": [14, 898, 116, 999], \"label\": \"black rook\"},\n {\"box_2d\": [161, 35, 235, 113], \"label\": \"black pawn\"},\n {\"box_2d\": [162, 180, 236, 253], \"label\": \"black pawn\"},\n {\"box_2d\": [158, 284, 232, 357], \"label\": \"black pawn\"},\n {\"box_2d\": [172, 412, 245, 483], \"label\": \"black pawn\"},\n {\"box_2d\": [169, 544, 242, 617], \"label\": \"black pawn\"},\n {\"box_2d\": [165, 651, 239, 723], \"label\": \"black pawn\"},\n {\"box_2d\": [161, 762, 235, 838], \"label\": \"black pawn\"},\n {\"box_2d\": [150, 890, 224, 974], \"label\": \"black pawn\"},\n {\"box_2d\": [772, 16, 845, 96], \"label\": \"white pawn\"},\n {\"box_2d\": [772, 157, 846, 231], \"label\": \"white pawn\"},\n {\"box_2d\": [765, 276, 839, 351], \"label\": \"white pawn\"},\n {\"box_2d\": [769, 396, 844, 469], \"label\": \"white pawn\"},\n {\"box_2d\": [758, 497, 833, 571], \"label\": \"white pawn\"},\n {\"box_2d\": [772, 651, 847, 725], \"label\": \"white pawn\"},\n {\"box_2d\": [756, 772, 831, 849], \"label\": \"white pawn\"},\n {\"box_2d\": [754, 876, 829, 958], \"label\": \"white pawn\"},\n {\"box_2d\": [880, 12, 980, 108], \"label\": \"white rook\"},\n {\"box_2d\": [889, 123, 987, 233], \"label\": \"white knight\"},\n {\"box_2d\": [886, 275, 991, 366], \"label\": \"white bishop\"},\n {\"box_2d\": [872, 387, 996, 479], \"label\": \"white king\"},\n {\"box_2d\": [878, 514, 998, 603], \"label\": \"white queen\"},\n {\"box_2d\": [875, 634, 976, 726], \"label\": \"white bishop\"},\n {\"box_2d\": [890, 762, 984, 868], \"label\": \"white knight\"},\n {\"box_2d\": [876, 886, 976, 991], \"label\": \"white rook\"}\n]\n```", "correct": true, "input_tokens": 1259, "output_tokens": 2554, "elapsed_seconds": 22.0841955000069, "metadata": {"match_method": "map", "num_predictions": 32, "num_ground_truth": 32, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 22.2729}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 154, "image": "123_jpg.rf.dd57cefde1b1d657a6704903a0c29594.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [174, 321, 198, 378], \"label\": \"resistor symbol\"},\n {\"box_2d\": [164, 622, 190, 686], \"label\": \"resistor symbol\"},\n {\"box_2d\": [274, 208, 348, 244], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [267, 441, 336, 475], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [231, 806, 321, 848], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [457, 325, 486, 376], \"label\": \"resistor symbol\"},\n {\"box_2d\": [448, 656, 479, 703], \"label\": \"resistor symbol\"},\n {\"box_2d\": [612, 214, 681, 237], \"label\": \"resistor symbol\"},\n {\"box_2d\": [640, 448, 719, 494], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [595, 833, 660, 851], \"label\": \"resistor symbol\"},\n {\"box_2d\": [819, 313, 902, 359], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [829, 621, 857, 678], \"label\": \"resistor symbol\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 1478, "elapsed_seconds": 13.21707729191985, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 13.225}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 155, "image": "Container_799_jpg.rf.18c1df3db98a6063d7285fb7c0ffd780.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [148, 307, 566, 330], \"label\": \"shipping container number\"},\n {\"box_2d\": [137, 352, 287, 367], \"label\": \"container ISO type code\"},\n {\"box_2d\": [225, 803, 264, 945], \"label\": \"shipping container number\"},\n {\"box_2d\": [271, 863, 305, 904], \"label\": \"container ISO type code\"}\n]\n```", "correct": true, "input_tokens": 1232, "output_tokens": 857, "elapsed_seconds": 8.905009208014235, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 8.923}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 156, "image": "08fd33_0_1_png_jpg.rf.49b1ec7a3f580266e0267dce06883980.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [463, 149, 505, 159], \"label\": \"goalkeeper\"},\n {\"box_2d\": [416, 250, 452, 260], \"label\": \"player\"},\n {\"box_2d\": [607, 339, 618, 346], \"label\": \"football\"},\n {\"box_2d\": [342, 438, 372, 448], \"label\": \"player\"},\n {\"box_2d\": [377, 489, 411, 498], \"label\": \"referee\"},\n {\"box_2d\": [399, 509, 433, 518], \"label\": \"player\"},\n {\"box_2d\": [374, 533, 405, 541], \"label\": \"player\"},\n {\"box_2d\": [443, 491, 480, 503], \"label\": \"player\"},\n {\"box_2d\": [481, 432, 526, 443], \"label\": \"player\"},\n {\"box_2d\": [526, 408, 562, 421], \"label\": \"player\"},\n {\"box_2d\": [613, 430, 664, 441], \"label\": \"player\"},\n {\"box_2d\": [354, 628, 386, 636], \"label\": \"player\"},\n {\"box_2d\": [372, 631, 402, 640], \"label\": \"player\"},\n {\"box_2d\": [400, 606, 435, 616], \"label\": \"player\"},\n {\"box_2d\": [418, 624, 453, 635], \"label\": \"player\"},\n {\"box_2d\": [389, 661, 422, 670], \"label\": \"player\"},\n {\"box_2d\": [419, 647, 456, 657], \"label\": \"player\"},\n {\"box_2d\": [451, 617, 491, 626], \"label\": \"player\"},\n {\"box_2d\": [504, 627, 545, 637], \"label\": \"player\"},\n {\"box_2d\": [465, 706, 510, 720], \"label\": \"player\"},\n {\"box_2d\": [602, 680, 653, 693], \"label\": \"player\"},\n {\"box_2d\": [573, 774, 612, 786], \"label\": \"player\"},\n {\"box_2d\": [630, 838, 681, 851], \"label\": \"player\"},\n {\"box_2d\": [645, 825, 703, 842], \"label\": \"referee\"},\n {\"box_2d\": [405, 906, 444, 918], \"label\": \"goalkeeper\"}\n]\n```", "correct": true, "input_tokens": 1242, "output_tokens": 1997, "elapsed_seconds": 21.06493699993007, "metadata": {"match_method": "map", "num_predictions": 25, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9158415794372559, "attempts": 1, "retries": 0, "total_seconds": 21.1605}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 157, "image": "Lego_122_low_jpeg.rf.ea0402c215977271fc16971fe6cad37a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [77, 193, 155, 311], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [138, 365, 245, 444], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [189, 465, 286, 574], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [213, 591, 314, 650], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [100, 652, 211, 748], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [59, 777, 154, 862], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [95, 833, 198, 936], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [378, 56, 460, 161], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [340, 182, 437, 260], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [266, 315, 355, 408], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [347, 320, 444, 384], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [338, 472, 443, 554], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [507, 134, 598, 253], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [373, 681, 461, 766], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [333, 747, 438, 829], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [326, 937, 427, 1000], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [784, 187, 871, 286], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [627, 402, 710, 480], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [710, 391, 815, 482], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [709, 451, 797, 537], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [749, 549, 828, 608], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [551, 537, 640, 626], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [553, 627, 627, 713], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [608, 688, 690, 742], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [636, 740, 709, 843], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [691, 780, 786, 851], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [679, 826, 766, 932], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [600, 913, 675, 965], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [778, 873, 862, 934], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [762, 945, 858, 1000], \"label\": \"lego 4x1 brick\"}\n]\n```", "correct": true, "input_tokens": 1244, "output_tokens": 5275, "elapsed_seconds": 47.17173583304975, "metadata": {"match_method": "map", "num_predictions": 30, "num_ground_truth": 30, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 47.2276}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 158, "image": "20230220_110126_jpg.rf.9dd19de1f35f973245770a80a67f5a86.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [470, 38, 494, 123], \"label\": \"crack\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 262, "elapsed_seconds": 8.287189707974903, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 8.3025}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 159, "image": "20230224_102553_jpg.rf.405f8900643fe92cf5dde61e03ca7cd9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [599, 818, 680, 902], \"label\": \"crack\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 293, "elapsed_seconds": 5.4761616659816355, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 5.4991}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 160, "image": "40_jpg.rf.9c5565949caf7c10eef3c765c461dcc3.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [37, 165, 359, 217], \"label\": \"blood sample tube\"},\n {\"box_2d\": [206, 167, 517, 267], \"label\": \"blood sample tube\"},\n {\"box_2d\": [386, 155, 695, 278], \"label\": \"blood sample tube\"},\n {\"box_2d\": [153, 257, 465, 336], \"label\": \"blood sample tube\"},\n {\"box_2d\": [38, 316, 156, 546], \"label\": \"blood sample tube\"},\n {\"box_2d\": [27, 502, 92, 744], \"label\": \"blood sample tube\"},\n {\"box_2d\": [82, 592, 156, 843], \"label\": \"blood sample tube\"},\n {\"box_2d\": [142, 476, 466, 535], \"label\": \"blood sample tube\"},\n {\"box_2d\": [138, 532, 444, 665], \"label\": \"blood sample tube\"},\n {\"box_2d\": [195, 583, 430, 789], \"label\": \"blood sample tube\"},\n {\"box_2d\": [394, 372, 570, 597], \"label\": \"blood sample tube\"},\n {\"box_2d\": [70, 837, 400, 898], \"label\": \"blood sample tube\"},\n {\"box_2d\": [144, 882, 472, 940], \"label\": \"blood sample tube\"},\n {\"box_2d\": [264, 766, 558, 926], \"label\": \"blood sample tube\"},\n {\"box_2d\": [384, 553, 500, 799], \"label\": \"blood sample tube\"},\n {\"box_2d\": [427, 592, 549, 838], \"label\": \"blood sample tube\"},\n {\"box_2d\": [512, 687, 650, 942], \"label\": \"blood sample tube\"},\n {\"box_2d\": [560, 663, 709, 912], \"label\": \"blood sample tube\"},\n {\"box_2d\": [597, 616, 738, 860], \"label\": \"blood sample tube\"},\n {\"box_2d\": [612, 480, 731, 730], \"label\": \"blood sample tube\"},\n {\"box_2d\": [672, 492, 741, 737], \"label\": \"blood sample tube\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 2556, "elapsed_seconds": 21.450612415908836, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 21, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 21.4717}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 161, "image": "car-part-detection_Car-damages-765_png_jpg.rf.98f80e9f33638af692acb0b18adddcfd.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [130, 311, 344, 677], \"label\": \"windshield\"},\n {\"box_2d\": [253, 395, 553, 909], \"label\": \"hood\"},\n {\"box_2d\": [507, 505, 628, 740], \"label\": \"headlight\"},\n {\"box_2d\": [298, 209, 356, 326], \"label\": \"mirror\"},\n {\"box_2d\": [144, 212, 323, 319], \"label\": \"front window\"},\n {\"box_2d\": [140, 132, 286, 219], \"label\": \"back window\"},\n {\"box_2d\": [288, 196, 614, 333], \"label\": \"front door\"},\n {\"box_2d\": [251, 114, 512, 219], \"label\": \"back door\"},\n {\"box_2d\": [537, 514, 895, 933], \"label\": \"front bumper\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 1357, "elapsed_seconds": 18.482326500001363, "metadata": {"match_method": "map", "num_predictions": 9, "num_ground_truth": 13, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7281727194786072, "attempts": 1, "retries": 0, "total_seconds": 18.4984}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 162, "image": "frame_0089_jpg.rf.c7cd5f3b9d3ee6d5f30b8357b148d8d4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [236, 325, 281, 352], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [248, 381, 294, 409], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [257, 441, 304, 469], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [279, 502, 325, 530], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [336, 312, 384, 339], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [350, 370, 400, 399], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [360, 430, 411, 460], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [381, 492, 433, 521], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [443, 305, 493, 332], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [461, 364, 512, 393], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [472, 424, 524, 454], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [495, 487, 548, 517], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [917, 291, 968, 317], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [929, 352, 981, 380], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [940, 415, 994, 443], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [948, 480, 999, 509], \"label\": \"soda bottle cap\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 1824, "elapsed_seconds": 30.183967333985493, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 30.5641}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 163, "image": "IMG_5103_JPG.rf.05aa0caa3f6431dd232e7223cc79a35a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [608, 271, 654, 297], \"label\": \"face\"},\n {\"box_2d\": [644, 323, 689, 349], \"label\": \"face\"},\n {\"box_2d\": [696, 400, 747, 427], \"label\": \"face\"},\n {\"box_2d\": [358, 354, 383, 366], \"label\": \"face\"},\n {\"box_2d\": [362, 386, 387, 398], \"label\": \"face\"},\n {\"box_2d\": [369, 404, 396, 417], \"label\": \"face\"},\n {\"box_2d\": [318, 404, 339, 416], \"label\": \"face\"},\n {\"box_2d\": [285, 420, 306, 430], \"label\": \"face\"},\n {\"box_2d\": [289, 441, 310, 452], \"label\": \"face\"},\n {\"box_2d\": [329, 471, 350, 483], \"label\": \"face\"},\n {\"box_2d\": [330, 502, 352, 513], \"label\": \"face\"},\n {\"box_2d\": [316, 536, 339, 548], \"label\": \"face\"},\n {\"box_2d\": [297, 552, 318, 563], \"label\": \"face\"},\n {\"box_2d\": [421, 541, 447, 554], \"label\": \"face\"},\n {\"box_2d\": [427, 576, 454, 590], \"label\": \"face\"},\n {\"box_2d\": [440, 620, 469, 634], \"label\": \"face\"},\n {\"box_2d\": [392, 560, 418, 573], \"label\": \"face\"},\n {\"box_2d\": [397, 606, 422, 619], \"label\": \"face\"},\n {\"box_2d\": [419, 647, 446, 660], \"label\": \"face\"},\n {\"box_2d\": [427, 688, 454, 701], \"label\": \"face\"},\n {\"box_2d\": [436, 715, 462, 728], \"label\": \"face\"},\n {\"box_2d\": [460, 772, 486, 785], \"label\": \"face\"},\n {\"box_2d\": [374, 603, 396, 615], \"label\": \"face\"},\n {\"box_2d\": [375, 627, 397, 639], \"label\": \"face\"},\n {\"box_2d\": [383, 667, 407, 679], \"label\": \"face\"},\n {\"box_2d\": [365, 680, 388, 691], \"label\": \"face\"},\n {\"box_2d\": [371, 714, 393, 726], \"label\": \"face\"},\n {\"box_2d\": [345, 618, 367, 630], \"label\": \"face\"},\n {\"box_2d\": [346, 653, 366, 664], \"label\": \"face\"},\n {\"box_2d\": [326, 663, 348, 674], \"label\": \"face\"},\n {\"box_2d\": [334, 698, 356, 709], \"label\": \"face\"},\n {\"box_2d\": [334, 756, 355, 767], \"label\": \"face\"},\n {\"box_2d\": [342, 766, 364, 777], \"label\": \"face\"},\n {\"box_2d\": [301, 609, 322, 620], \"label\": \"face\"},\n {\"box_2d\": [303, 636, 323, 646], \"label\": \"face\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 3373, "elapsed_seconds": 33.61620874993969, "metadata": {"match_method": "map", "num_predictions": 35, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5853381156921387, "attempts": 1, "retries": 0, "total_seconds": 33.9453}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 164, "image": "fall-detection_camerathree-second_mp4-114_jpg.rf.8d4ab219233d1b243e3602fc397d1bfa.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [578, 356, 667, 586], \"label\": \"fallen person\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 360, "elapsed_seconds": 7.9242689170641825, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 7.9352}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 165, "image": "lot301_JPEG_jpg.rf.190ac2533508d09b091e542956d526a5.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [164, 424, 198, 459], \"label\": \"chicory seed\"},\n {\"box_2d\": [169, 581, 205, 620], \"label\": \"chicory seed\"},\n {\"box_2d\": [182, 344, 210, 385], \"label\": \"chicory seed\"},\n {\"box_2d\": [184, 466, 208, 510], \"label\": \"chicory seed\"},\n {\"box_2d\": [186, 440, 220, 479], \"label\": \"chicory seed\"},\n {\"box_2d\": [193, 369, 237, 396], \"label\": \"chicory seed\"},\n {\"box_2d\": [193, 496, 222, 537], \"label\": \"chicory seed\"},\n {\"box_2d\": [197, 619, 221, 661], \"label\": \"chicory seed\"},\n {\"box_2d\": [202, 567, 232, 608], \"label\": \"chicory seed\"},\n {\"box_2d\": [210, 405, 232, 449], \"label\": \"chicory seed\"},\n {\"box_2d\": [212, 341, 246, 381], \"label\": \"chicory seed\"},\n {\"box_2d\": [214, 291, 244, 336], \"label\": \"chicory seed\"},\n {\"box_2d\": [218, 609, 245, 653], \"label\": \"chicory seed\"},\n {\"box_2d\": [220, 531, 249, 574], \"label\": \"chicory seed\"},\n {\"box_2d\": [222, 467, 261, 498], \"label\": \"chicory seed\"},\n {\"box_2d\": [225, 392, 258, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [225, 430, 249, 473], \"label\": \"chicory seed\"},\n {\"box_2d\": [225, 682, 264, 718], \"label\": \"chicory seed\"},\n {\"box_2d\": [233, 303, 258, 348], \"label\": \"chicory seed\"},\n {\"box_2d\": [234, 639, 263, 681], \"label\": \"chicory seed\"},\n {\"box_2d\": [235, 550, 269, 591], \"label\": \"chicory seed\"},\n {\"box_2d\": [236, 490, 269, 530], \"label\": \"chicory seed\"},\n {\"box_2d\": [238, 581, 275, 612], \"label\": \"chicory seed\"},\n {\"box_2d\": [240, 261, 283, 289], \"label\": \"chicory seed\"},\n {\"box_2d\": [240, 374, 273, 415], \"label\": \"chicory seed\"},\n {\"box_2d\": [242, 332, 285, 362], \"label\": \"chicory seed\"},\n {\"box_2d\": [242, 621, 284, 646], \"label\": \"chicory seed\"},\n {\"box_2d\": [246, 713, 285, 751], \"label\": \"chicory seed\"},\n {\"box_2d\": [248, 423, 280, 465], \"label\": \"chicory seed\"},\n {\"box_2d\": [250, 359, 282, 398], \"label\": \"chicory seed\"},\n {\"box_2d\": [258, 286, 280, 331], \"label\": \"chicory seed\"},\n {\"box_2d\": [263, 656, 297, 701], \"label\": \"chicory seed\"},\n {\"box_2d\": [265, 566, 302, 601], \"label\": \"chicory seed\"},\n {\"box_2d\": [266, 386, 299, 426], \"label\": \"chicory seed\"},\n {\"box_2d\": [269, 445, 307, 470], \"label\": \"chicory seed\"},\n {\"box_2d\": [270, 222, 304, 263], \"label\": \"chicory seed\"},\n {\"box_2d\": [270, 644, 308, 683], \"label\": \"chicory seed\"},\n {\"box_2d\": [271, 506, 305, 544], \"label\": \"chicory seed\"},\n {\"box_2d\": [274, 597, 310, 634], \"label\": \"chicory seed\"},\n {\"box_2d\": [274, 728, 315, 751], \"label\": \"chicory seed\"},\n {\"box_2d\": [276, 271, 301, 316], \"label\": \"chicory seed\"},\n {\"box_2d\": [276, 745, 305, 785], \"label\": \"chicory seed\"},\n {\"box_2d\": [279, 317, 319, 341], \"label\": \"chicory seed\"},\n {\"box_2d\": [279, 361, 320, 387], \"label\": \"chicory seed\"},\n {\"box_2d\": [280, 469, 304, 506], \"label\": \"chicory seed\"},\n {\"box_2d\": [282, 339, 323, 363], \"label\": \"chicory seed\"},\n {\"box_2d\": [282, 405, 314, 448], \"label\": \"chicory seed\"},\n {\"box_2d\": [282, 537, 321, 569], \"label\": \"chicory seed\"},\n {\"box_2d\": [283, 707, 323, 735], \"label\": \"chicory seed\"},\n {\"box_2d\": [287, 380, 329, 403], \"label\": \"chicory seed\"},\n {\"box_2d\": [295, 614, 317, 659], \"label\": \"chicory seed\"},\n {\"box_2d\": [295, 694, 332, 725], \"label\": \"chicory seed\"},\n {\"box_2d\": [300, 195, 339, 227], \"label\": \"chicory seed\"},\n {\"box_2d\": [300, 251, 324, 294], \"label\": \"chicory seed\"},\n {\"box_2d\": [301, 290, 336, 325], \"label\": \"chicory seed\"},\n {\"box_2d\": [303, 406, 334, 450], \"label\": \"chicory seed\"},\n {\"box_2d\": [303, 495, 328, 537], \"label\": \"chicory seed\"},\n {\"box_2d\": [304, 449, 330, 492], \"label\": \"chicory seed\"},\n {\"box_2d\": [304, 562, 347, 588], \"label\": \"chicory seed\"},\n {\"box_2d\": [304, 747, 346, 772], \"label\": \"chicory seed\"},\n {\"box_2d\": [306, 214, 345, 249], \"label\": \"chicory seed\"},\n {\"box_2d\": [312, 586, 341, 628], \"label\": \"chicory seed\"},\n {\"box_2d\": [314, 654, 355, 688], \"label\": \"chicory seed\"},\n {\"box_2d\": [316, 337, 343, 381], \"label\": \"chicory seed\"},\n {\"box_2d\": [317, 513, 342, 557], \"label\": \"chicory seed\"},\n {\"box_2d\": [319, 733, 359, 761], \"label\": \"chicory seed\"},\n {\"box_2d\": [322, 619, 365, 646], \"label\": \"chicory seed\"},\n {\"box_2d\": [323, 239, 355, 278], \"label\": \"chicory seed\"},\n {\"box_2d\": [327, 769, 352, 814], \"label\": \"chicory seed\"},\n {\"box_2d\": [329, 350, 364, 388], \"label\": \"chicory seed\"},\n {\"box_2d\": [332, 460, 361, 502], \"label\": \"chicory seed\"},\n {\"box_2d\": [334, 271, 358, 313], \"label\": \"chicory seed\"},\n {\"box_2d\": [334, 708, 371, 742], \"label\": \"chicory seed\"},\n {\"box_2d\": [336, 512, 380, 537], \"label\": \"chicory seed\"},\n {\"box_2d\": [336, 577, 366, 619], \"label\": \"chicory seed\"},\n {\"box_2d\": [339, 185, 362, 230], \"label\": \"chicory seed\"},\n {\"box_2d\": [341, 425, 377, 463], \"label\": \"chicory seed\"},\n {\"box_2d\": [341, 692, 380, 726], \"label\": \"chicory seed\"},\n {\"box_2d\": [346, 533, 370, 577], \"label\": \"chicory seed\"},\n {\"box_2d\": [347, 761, 371, 807], \"label\": \"chicory seed\"},\n {\"box_2d\": [351, 206, 378, 255], \"label\": \"chicory seed\"},\n {\"box_2d\": [352, 464, 392, 498], \"label\": \"chicory seed\"},\n {\"box_2d\": [354, 636, 379, 678], \"label\": \"chicory seed\"},\n {\"box_2d\": [355, 257, 385, 300], \"label\": \"chicory seed\"},\n {\"box_2d\": [357, 591, 383, 633], \"label\": \"chicory seed\"},\n {\"box_2d\": [360, 162, 399, 191], \"label\": \"chicory seed\"},\n {\"box_2d\": [360, 816, 400, 846], \"label\": \"chicory seed\"},\n {\"box_2d\": [364, 718, 405, 749], \"label\": \"chicory seed\"},\n {\"box_2d\": [366, 750, 389, 795], \"label\": \"chicory seed\"},\n {\"box_2d\": [368, 283, 402, 323], \"label\": \"chicory seed\"},\n {\"box_2d\": [373, 218, 410, 258], \"label\": \"chicory seed\"},\n {\"box_2d\": [375, 334, 402, 377], \"label\": \"chicory seed\"},\n {\"box_2d\": [376, 374, 419, 398], \"label\": \"chicory seed\"},\n {\"box_2d\": [376, 491, 419, 518], \"label\": \"chicory seed\"},\n {\"box_2d\": [376, 595, 408, 634], \"label\": \"chicory seed\"},\n {\"box_2d\": [378, 179, 411, 220], \"label\": \"chicory seed\"},\n {\"box_2d\": [379, 509, 421, 538], \"label\": \"chicory seed\"},\n {\"box_2d\": [379, 644, 404, 687], \"label\": \"chicory seed\"},\n {\"box_2d\": [381, 827, 418, 860], \"label\": \"chicory seed\"},\n {\"box_2d\": [387, 689, 430, 711], \"label\": \"chicory seed\"},\n {\"box_2d\": [392, 303, 429, 339], \"label\": \"chicory seed\"},\n {\"box_2d\": [394, 708, 434, 732], \"label\": \"chicory seed\"},\n {\"box_2d\": [395, 194, 429, 236], \"label\": \"chicory seed\"},\n {\"box_2d\": [400, 253, 439, 285], \"label\": \"chicory seed\"},\n {\"box_2d\": [404, 731, 426, 775], \"label\": \"chicory seed\"},\n {\"box_2d\": [407, 777, 430, 823], \"label\": \"chicory seed\"},\n {\"box_2d\": [411, 232, 447, 270], \"label\": \"chicory seed\"},\n {\"box_2d\": [411, 532, 435, 576], \"label\": \"chicory seed\"},\n {\"box_2d\": [412, 432, 455, 460], \"label\": \"chicory seed\"},\n {\"box_2d\": [413, 574, 444, 613], \"label\": \"chicory seed\"},\n {\"box_2d\": [414, 329, 439, 372], \"label\": \"chicory seed\"},\n {\"box_2d\": [414, 638, 439, 683], \"label\": \"chicory seed\"},\n {\"box_2d\": [417, 163, 460, 197], \"label\": \"chicory seed\"},\n {\"box_2d\": [417, 394, 445, 433], \"label\": \"chicory seed\"},\n {\"box_2d\": [421, 285, 454, 326], \"label\": \"chicory seed\"},\n {\"box_2d\": [423, 729, 448, 769], \"label\": \"chicory seed\"},\n {\"box_2d\": [425, 468, 451, 511], \"label\": \"chicory seed\"},\n {\"box_2d\": [426, 806, 450, 851], \"label\": \"chicory seed\"},\n {\"box_2d\": [427, 783, 470, 811], \"label\": \"chicory seed\"},\n {\"box_2d\": [429, 183, 470, 214], \"label\": \"chicory seed\"},\n {\"box_2d\": [429, 689, 452, 730], \"label\": \"chicory seed\"},\n {\"box_2d\": [431, 622, 470, 658], \"label\": \"chicory seed\"},\n {\"box_2d\": [432, 212, 474, 235], \"label\": \"chicory seed\"},\n {\"box_2d\": [436, 359, 468, 401], \"label\": \"chicory seed\"},\n {\"box_2d\": [437, 545, 469, 585], \"label\": \"chicory seed\"},\n {\"box_2d\": [438, 640, 475, 673], \"label\": \"chicory seed\"},\n {\"box_2d\": [439, 763, 483, 786], \"label\": \"chicory seed\"},\n {\"box_2d\": [443, 672, 488, 694], \"label\": \"chicory seed\"},\n {\"box_2d\": [445, 319, 486, 356], \"label\": \"chicory seed\"},\n {\"box_2d\": [445, 812, 469, 857], \"label\": \"chicory seed\"},\n {\"box_2d\": [448, 377, 475, 425], \"label\": \"chicory seed\"},\n {\"box_2d\": [451, 227, 492, 258], \"label\": \"chicory seed\"},\n {\"box_2d\": [451, 498, 483, 537], \"label\": \"chicory seed\"},\n {\"box_2d\": [452, 531, 483, 572], \"label\": \"chicory seed\"},\n {\"box_2d\": [454, 691, 497, 716], \"label\": \"chicory seed\"},\n {\"box_2d\": [455, 250, 494, 284], \"label\": \"chicory seed\"},\n {\"box_2d\": [457, 294, 501, 320], \"label\": \"chicory seed\"},\n {\"box_2d\": [458, 423, 501, 450], \"label\": \"chicory seed\"},\n {\"box_2d\": [459, 599, 494, 636], \"label\": \"chicory seed\"},\n {\"box_2d\": [459, 720, 498, 751], \"label\": \"chicory seed\"},\n {\"box_2d\": [465, 193, 498, 234], \"label\": \"chicory seed\"},\n {\"box_2d\": [465, 468, 495, 505], \"label\": \"chicory seed\"},\n {\"box_2d\": [466, 367, 509, 398], \"label\": \"chicory seed\"},\n {\"box_2d\": [466, 781, 509, 805], \"label\": \"chicory seed\"},\n {\"box_2d\": [466, 803, 503, 839], \"label\": \"chicory seed\"},\n {\"box_2d\": [466, 834, 499, 864], \"label\": \"chicory seed\"},\n {\"box_2d\": [470, 565, 500, 608], \"label\": \"chicory seed\"},\n {\"box_2d\": [470, 634, 499, 676], \"label\": \"chicory seed\"},\n {\"box_2d\": [473, 407, 515, 432], \"label\": \"chicory seed\"},\n {\"box_2d\": [479, 524, 504, 567], \"label\": \"chicory seed\"},\n {\"box_2d\": [481, 747, 505, 786], \"label\": \"chicory seed\"},\n {\"box_2d\": [483, 278, 528, 307], \"label\": \"chicory seed\"},\n {\"box_2d\": [485, 181, 527, 206], \"label\": \"chicory seed\"},\n {\"box_2d\": [486, 314, 509, 356], \"label\": \"chicory seed\"},\n {\"box_2d\": [488, 590, 512, 633], \"label\": \"chicory seed\"},\n {\"box_2d\": [488, 815, 525, 849], \"label\": \"chicory seed\"},\n {\"box_2d\": [489, 707, 521, 746], \"label\": \"chicory seed\"},\n {\"box_2d\": [493, 206, 526, 249], \"label\": \"chicory seed\"},\n {\"box_2d\": [494, 150, 533, 174], \"label\": \"chicory seed\"},\n {\"box_2d\": [497, 672, 540, 700], \"label\": \"chicory seed\"},\n {\"box_2d\": [497, 746, 522, 790], \"label\": \"chicory seed\"},\n {\"box_2d\": [498, 834, 523, 882], \"label\": \"chicory seed\"},\n {\"box_2d\": [501, 792, 546, 816], \"label\": \"chicory seed\"},\n {\"box_2d\": [503, 608, 530, 653], \"label\": \"chicory seed\"},\n {\"box_2d\": [504, 336, 547, 362], \"label\": \"chicory seed\"},\n {\"box_2d\": [506, 359, 536, 402], \"label\": \"chicory seed\"},\n {\"box_2d\": [511, 297, 550, 335], \"label\": \"chicory seed\"},\n {\"box_2d\": [511, 704, 546, 740], \"label\": \"chicory seed\"},\n {\"box_2d\": [512, 223, 553, 255], \"label\": \"chicory seed\"},\n {\"box_2d\": [513, 659, 554, 684], \"label\": \"chicory seed\"},\n {\"box_2d\": [516, 386, 544, 430], \"label\": \"chicory seed\"},\n {\"box_2d\": [518, 737, 546, 780], \"label\": \"chicory seed\"},\n {\"box_2d\": [519, 772, 564, 794], \"label\": \"chicory seed\"},\n {\"box_2d\": [525, 808, 569, 833], \"label\": \"chicory seed\"},\n {\"box_2d\": [525, 833, 560, 871], \"label\": \"chicory seed\"},\n {\"box_2d\": [528, 591, 552, 634], \"label\": \"chicory seed\"},\n {\"box_2d\": [530, 236, 571, 268], \"label\": \"chicory seed\"},\n {\"box_2d\": [533, 208, 576, 239], \"label\": \"chicory seed\"},\n {\"box_2d\": [535, 357, 581, 384], \"label\": \"chicory seed\"},\n {\"box_2d\": [536, 386, 572, 429], \"label\": \"chicory seed\"},\n {\"box_2d\": [537, 515, 568, 558], \"label\": \"chicory seed\"},\n {\"box_2d\": [545, 151, 580, 191], \"label\": \"chicory seed\"},\n {\"box_2d\": [547, 588, 585, 623], \"label\": \"chicory seed\"},\n {\"box_2d\": [548, 335, 594, 365], \"label\": \"chicory seed\"},\n {\"box_2d\": [548, 753, 592, 777], \"label\": \"chicory seed\"},\n {\"box_2d\": [549, 612, 581, 653], \"label\": \"chicory seed\"},\n {\"box_2d\": [549, 653, 587, 678], \"label\": \"chicory seed\"},\n {\"box_2d\": [552, 174, 587, 211], \"label\": \"chicory seed\"},\n {\"box_2d\": [552, 723, 594, 757], \"label\": \"chicory seed\"},\n {\"box_2d\": [554, 775, 586, 816], \"label\": \"chicory seed\"},\n {\"box_2d\": [555, 803, 587, 847], \"label\": \"chicory seed\"},\n {\"box_2d\": [558, 540, 594, 574], \"label\": \"chicory seed\"},\n {\"box_2d\": [559, 279, 583, 323], \"label\": \"chicory seed\"},\n {\"box_2d\": [564, 398, 606, 429], \"label\": \"chicory seed\"},\n {\"box_2d\": [569, 233, 607, 274], \"label\": \"chicory seed\"},\n {\"box_2d\": [570, 572, 601, 612], \"label\": \"chicory seed\"},\n {\"box_2d\": [571, 362, 606, 403], \"label\": \"chicory seed\"},\n {\"box_2d\": [574, 619, 614, 650], \"label\": \"chicory seed\"},\n {\"box_2d\": [580, 294, 618, 324], \"label\": \"chicory seed\"},\n {\"box_2d\": [580, 824, 604, 869], \"label\": \"chicory seed\"},\n {\"box_2d\": [584, 222, 618, 259], \"label\": \"chicory seed\"},\n {\"box_2d\": [585, 409, 621, 449], \"label\": \"chicory seed\"},\n {\"box_2d\": [585, 467, 620, 508], \"label\": \"chicory seed\"},\n {\"box_2d\": [586, 650, 614, 694], \"label\": \"chicory seed\"},\n {\"box_2d\": [587, 783, 615, 825], \"label\": \"chicory seed\"},\n {\"box_2d\": [590, 594, 633, 626], \"label\": \"chicory seed\"},\n {\"box_2d\": [591, 688, 626, 726], \"label\": \"chicory seed\"},\n {\"box_2d\": [593, 322, 619, 366], \"label\": \"chicory seed\"},\n {\"box_2d\": [594, 554, 619, 600], \"label\": \"chicory seed\"},\n {\"box_2d\": [596, 725, 624, 769], \"label\": \"chicory seed\"},\n {\"box_2d\": [605, 193, 630, 234], \"label\": \"chicory seed\"},\n {\"box_2d\": [608, 342, 632, 389], \"label\": \"chicory seed\"},\n {\"box_2d\": [609, 636, 652, 663], \"label\": \"chicory seed\"},\n {\"box_2d\": [612, 286, 650, 315], \"label\": \"chicory seed\"},\n {\"box_2d\": [613, 668, 656, 693], \"label\": \"chicory seed\"},\n {\"box_2d\": [614, 553, 642, 597], \"label\": \"chicory seed\"},\n {\"box_2d\": [615, 168, 658, 193], \"label\": \"chicory seed\"},\n {\"box_2d\": [615, 216, 646, 260], \"label\": \"chicory seed\"},\n {\"box_2d\": [616, 803, 653, 841], \"label\": \"chicory seed\"},\n {\"box_2d\": [617, 601, 648, 642], \"label\": \"chicory seed\"},\n {\"box_2d\": [623, 311, 667, 337], \"label\": \"chicory seed\"},\n {\"box_2d\": [626, 362, 670, 389], \"label\": \"chicory seed\"},\n {\"box_2d\": [629, 336, 673, 368], \"label\": \"chicory seed\"},\n {\"box_2d\": [633, 522, 662, 567], \"label\": \"chicory seed\"},\n {\"box_2d\": [636, 184, 673, 225], \"label\": \"chicory seed\"},\n {\"box_2d\": [636, 230, 671, 270], \"label\": \"chicory seed\"},\n {\"box_2d\": [636, 572, 664, 613], \"label\": \"chicory seed\"},\n {\"box_2d\": [637, 608, 669, 648], \"label\": \"chicory seed\"},\n {\"box_2d\": [641, 683, 683, 714], \"label\": \"chicory seed\"},\n {\"box_2d\": [641, 725, 685, 753], \"label\": \"chicory seed\"},\n {\"box_2d\": [643, 384, 684, 410], \"label\": \"chicory seed\"},\n {\"box_2d\": [645, 291, 690, 319], \"label\": \"chicory seed\"},\n {\"box_2d\": [654, 640, 685, 680], \"label\": \"chicory seed\"},\n {\"box_2d\": [654, 769, 681, 813], \"label\": \"chicory seed\"},\n {\"box_2d\": [655, 195, 690, 236], \"label\": \"chicory seed\"},\n {\"box_2d\": [657, 515, 690, 557], \"label\": \"chicory seed\"},\n {\"box_2d\": [657, 555, 694, 594], \"label\": \"chicory seed\"},\n {\"box_2d\": [658, 251, 702, 281], \"label\": \"chicory seed\"},\n {\"box_2d\": [661, 352, 697, 391], \"label\": \"chicory seed\"},\n {\"box_2d\": [661, 747, 702, 773], \"label\": \"chicory seed\"},\n {\"box_2d\": [662, 267, 704, 296], \"label\": \"chicory seed\"},\n {\"box_2d\": [663, 586, 707, 615], \"label\": \"chicory seed\"},\n {\"box_2d\": [666, 614, 691, 661], \"label\": \"chicory seed\"},\n {\"box_2d\": [667, 207, 698, 254], \"label\": \"chicory seed\"},\n {\"box_2d\": [668, 686, 704, 724], \"label\": \"chicory seed\"},\n {\"box_2d\": [670, 455, 696, 500], \"label\": \"chicory seed\"},\n {\"box_2d\": [674, 326, 704, 367], \"label\": \"chicory seed\"},\n {\"box_2d\": [674, 406, 698, 450], \"label\": \"chicory seed\"},\n {\"box_2d\": [682, 648, 717, 688], \"label\": \"chicory seed\"},\n {\"box_2d\": [683, 368, 720, 409], \"label\": \"chicory seed\"},\n {\"box_2d\": [687, 290, 729, 317], \"label\": \"chicory seed\"},\n {\"box_2d\": [687, 593, 720, 637], \"label\": \"chicory seed\"},\n {\"box_2d\": [692, 566, 729, 597], \"label\": \"chicory seed\"},\n {\"box_2d\": [693, 211, 718, 254], \"label\": \"chicory seed\"},\n {\"box_2d\": [693, 315, 735, 350], \"label\": \"chicory seed\"},\n {\"box_2d\": [693, 464, 727, 507], \"label\": \"chicory seed\"},\n {\"box_2d\": [693, 715, 730, 752], \"label\": \"chicory seed\"},\n {\"box_2d\": [696, 434, 736, 467], \"label\": \"chicory seed\"},\n {\"box_2d\": [698, 744, 722, 787], \"label\": \"chicory seed\"},\n {\"box_2d\": [708, 249, 733, 294], \"label\": \"chicory seed\"},\n {\"box_2d\": [708, 519, 752, 545], \"label\": \"chicory seed\"},\n {\"box_2d\": [709, 764, 736, 807], \"label\": \"chicory seed\"},\n {\"box_2d\": [710, 349, 745, 389], \"label\": \"chicory seed\"},\n {\"box_2d\": [710, 382, 736, 427], \"label\": \"chicory seed\"},\n {\"box_2d\": [715, 300, 757, 326], \"label\": \"chicory seed\"},\n {\"box_2d\": [718, 638, 743, 682], \"label\": \"chicory seed\"},\n {\"box_2d\": [720, 583, 746, 626], \"label\": \"chicory seed\"},\n {\"box_2d\": [720, 738, 759, 770], \"label\": \"chicory seed\"},\n {\"box_2d\": [726, 268, 761, 306], \"label\": \"chicory seed\"},\n {\"box_2d\": [730, 467, 770, 504], \"label\": \"chicory seed\"},\n {\"box_2d\": [731, 322, 766, 363], \"label\": \"chicory seed\"},\n {\"box_2d\": [732, 384, 760, 430], \"label\": \"chicory seed\"},\n {\"box_2d\": [733, 554, 773, 588], \"label\": \"chicory seed\"},\n {\"box_2d\": [734, 637, 777, 664], \"label\": \"chicory seed\"},\n {\"box_2d\": [737, 429, 764, 474], \"label\": \"chicory seed\"},\n {\"box_2d\": [741, 659, 786, 686], \"label\": \"chicory seed\"},\n {\"box_2d\": [742, 362, 773, 405], \"label\": \"chicory seed\"},\n {\"box_2d\": [747, 340, 790, 365], \"label\": \"chicory seed\"},\n {\"box_2d\": [748, 489, 775, 533], \"label\": \"chicory seed\"},\n {\"box_2d\": [750, 524, 795, 553], \"label\": \"chicory seed\"},\n {\"box_2d\": [753, 563, 784, 606], \"label\": \"chicory seed\"},\n {\"box_2d\": [755, 287, 785, 330], \"label\": \"chicory seed\"},\n {\"box_2d\": [757, 411, 798, 441], \"label\": \"chicory seed\"},\n {\"box_2d\": [765, 696, 804, 730], \"label\": \"chicory seed\"},\n {\"box_2d\": [767, 365, 810, 395], \"label\": \"chicory seed\"},\n {\"box_2d\": [769, 593, 806, 633], \"label\": \"chicory seed\"},\n {\"box_2d\": [771, 392, 811, 431], \"label\": \"chicory seed\"},\n {\"box_2d\": [772, 301, 798, 345], \"label\": \"chicory seed\"},\n {\"box_2d\": [773, 441, 802, 484], \"label\": \"chicory seed\"},\n {\"box_2d\": [774, 479, 810, 513], \"label\": \"chicory seed\"},\n {\"box_2d\": [782, 531, 817, 569], \"label\": \"chicory seed\"},\n {\"box_2d\": [785, 330, 811, 376], \"label\": \"chicory seed\"},\n {\"box_2d\": [789, 578, 816, 623], \"label\": \"chicory seed\"},\n {\"box_2d\": [790, 637, 830, 676], \"label\": \"chicory seed\"},\n {\"box_2d\": [791, 434, 820, 476], \"label\": \"chicory seed\"},\n {\"box_2d\": [797, 479, 836, 514], \"label\": \"chicory seed\"},\n {\"box_2d\": [803, 394, 838, 435], \"label\": \"chicory seed\"},\n {\"box_2d\": [803, 548, 847, 576], \"label\": \"chicory seed\"},\n {\"box_2d\": [806, 358, 835, 402], \"label\": \"chicory seed\"},\n {\"box_2d\": [808, 432, 849, 456], \"label\": \"chicory seed\"},\n {\"box_2d\": [809, 593, 838, 638], \"label\": \"chicory seed\"},\n {\"box_2d\": [815, 529, 853, 556], \"label\": \"chicory seed\"},\n {\"box_2d\": [824, 454, 853, 496], \"label\": \"chicory seed\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 17382, "elapsed_seconds": 135.04893837496638, "metadata": {"match_method": "map", "num_predictions": 303, "num_ground_truth": 303, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3366336524486542, "attempts": 1, "retries": 0, "total_seconds": 135.1807}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 166, "image": "9pro_tire_2024-10-17_2_png_jpg.rf.4f51ee46ba892a991a30327b934d13a9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [74, 198, 183, 401], \"label\": \"tire size text\"},\n {\"box_2d\": [809, 675, 876, 758], \"label\": \"tire size text\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 657, "elapsed_seconds": 10.793773457990028, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 11.0124}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 167, "image": "2024-12-05T02-00-56-789Z-1004_jpg.rf.16e81306ce0ce847c1fdd836e6752b92.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [243, 0, 658, 156], \"label\": \"velcro cable tie\"},\n {\"box_2d\": [628, 148, 675, 181], \"label\": \"screw\"},\n {\"box_2d\": [649, 523, 686, 563], \"label\": \"screw\"},\n {\"box_2d\": [429, 868, 502, 926], \"label\": \"screw\"}\n]\n```", "correct": false, "input_tokens": 1204, "output_tokens": 762, "elapsed_seconds": 12.656717083998956, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6666666269302368, "attempts": 1, "retries": 0, "total_seconds": 12.858}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 168, "image": "45_png.rf.5c5cd31ecf12f414c9d6c446b6599fc0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [55, 240, 88, 300], \"label\": \"not gate symbol\"},\n {\"box_2d\": [101, 424, 152, 524], \"label\": \"and gate symbol\"},\n {\"box_2d\": [89, 789, 139, 888], \"label\": \"or gate symbol\"},\n {\"box_2d\": [295, 550, 360, 630], \"label\": \"and gate symbol\"},\n {\"box_2d\": [295, 667, 360, 746], \"label\": \"and gate symbol\"},\n {\"box_2d\": [372, 789, 422, 888], \"label\": \"or gate symbol\"},\n {\"box_2d\": [578, 574, 642, 652], \"label\": \"and gate symbol\"},\n {\"box_2d\": [578, 690, 642, 769], \"label\": \"and gate symbol\"},\n {\"box_2d\": [649, 810, 699, 909], \"label\": \"or gate symbol\"},\n {\"box_2d\": [869, 591, 932, 669], \"label\": \"and gate symbol\"},\n {\"box_2d\": [869, 706, 932, 785], \"label\": \"and gate symbol\"},\n {\"box_2d\": [940, 810, 991, 909], \"label\": \"or gate symbol\"}\n]\n```", "correct": true, "input_tokens": 1264, "output_tokens": 1644, "elapsed_seconds": 17.05116174998693, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 17.0551}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 169, "image": "paper-parts_112786_53_jpg.rf.0483acf3782b23a87f49280c7a03b327.jpg", "expected": "", "predicted": "```json\n[\n {\n \"box_2d\": [\n 91,\n 176,\n 331,\n 667\n ],\n \"label\": \"figure\"\n },\n {\n \"box_2d\": [\n 371,\n 176,\n 424,\n 882\n ],\n \"label\": \"figure caption\"\n },\n {\n \"box_2d\": [\n 478,\n 176,\n 493,\n 207\n ],\n \"label\": \"paragraph\"\n },\n {\n \"box_2d\": [\n 523,\n 274,\n 550,\n 753\n ],\n \"label\": \"equation\"\n },\n {\n \"box_2d\": [\n 559,\n 274,\n 586,\n 711\n ],\n \"label\": \"equation\"\n },\n {\n \"box_2d\": [\n 596,\n 274,\n 623,\n 784\n ],\n \"label\": \"equation\"\n },\n {\n \"box_2d\": [\n 632,\n 274,\n 660,\n 735\n ],\n \"label\": \"equation\"\n },\n {\n \"box_2d\": [\n 669,\n 274,\n 696,\n 736\n ],\n \"label\": \"equation\"\n },\n {\n \"box_2d\": [\n 708,\n 274,\n 735,\n 530\n ],\n \"label\": \"equation\"\n },\n {\n \"box_2d\": [\n 755,\n 176,\n 869,\n 883\n ],\n \"label\": \"paragraph\"\n },\n {\n \"box_2d\": [\n 897,\n 519,\n 913,\n 539\n ],\n \"label\": \"page number\"\n }\n]\n```", "correct": true, "input_tokens": 1248, "output_tokens": 1807, "elapsed_seconds": 19.98307133303024, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8504949808120728, "attempts": 1, "retries": 0, "total_seconds": 20.0098}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 170, "image": "signatures_image_21_png_jpg.rf.af64d00b20a92b8a4d92e9aefc5cd1f8.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [71, 216, 179, 405], \"label\": \"signature\"},\n {\"box_2d\": [302, 678, 391, 868], \"label\": \"signature\"},\n {\"box_2d\": [649, 511, 761, 732], \"label\": \"signature\"},\n {\"box_2d\": [833, 419, 945, 643], \"label\": \"signature\"},\n {\"box_2d\": [828, 650, 926, 849], \"label\": \"signature\"}\n]\n```", "correct": true, "input_tokens": 1252, "output_tokens": 1726, "elapsed_seconds": 18.3940787500469, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.800000011920929, "attempts": 1, "retries": 0, "total_seconds": 18.4849}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 171, "image": "1668146885__jpg.rf.3d8577f11d5831de64da2c2964b98050.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [49, 204, 98, 235], \"label\": \"six die\"},\n {\"box_2d\": [21, 353, 82, 386], \"label\": \"four die\"},\n {\"box_2d\": [140, 141, 193, 170], \"label\": \"two die\"},\n {\"box_2d\": [172, 224, 228, 256], \"label\": \"two die\"},\n {\"box_2d\": [327, 212, 386, 245], \"label\": \"five die\"},\n {\"box_2d\": [390, 138, 449, 171], \"label\": \"three die\"},\n {\"box_2d\": [378, 201, 435, 234], \"label\": \"six die\"},\n {\"box_2d\": [380, 275, 439, 308], \"label\": \"five die\"},\n {\"box_2d\": [345, 317, 401, 349], \"label\": \"five die\"},\n {\"box_2d\": [442, 215, 497, 247], \"label\": \"one die\"},\n {\"box_2d\": [515, 216, 571, 249], \"label\": \"three die\"},\n {\"box_2d\": [519, 273, 577, 306], \"label\": \"three die\"},\n {\"box_2d\": [625, 164, 675, 194], \"label\": \"two die\"},\n {\"box_2d\": [692, 224, 747, 257], \"label\": \"two die\"},\n {\"box_2d\": [728, 258, 785, 291], \"label\": \"four die\"},\n {\"box_2d\": [507, 467, 565, 500], \"label\": \"five die\"},\n {\"box_2d\": [596, 449, 644, 476], \"label\": \"two die\"},\n {\"box_2d\": [573, 495, 631, 528], \"label\": \"five die\"},\n {\"box_2d\": [622, 510, 681, 543], \"label\": \"four die\"},\n {\"box_2d\": [508, 537, 565, 571], \"label\": \"five die\"},\n {\"box_2d\": [555, 531, 610, 561], \"label\": \"two die\"},\n {\"box_2d\": [542, 558, 600, 591], \"label\": \"five die\"},\n {\"box_2d\": [616, 554, 671, 585], \"label\": \"three die\"},\n {\"box_2d\": [692, 583, 748, 613], \"label\": \"six die\"},\n {\"box_2d\": [446, 588, 497, 616], \"label\": \"three die\"},\n {\"box_2d\": [344, 545, 401, 577], \"label\": \"five die\"},\n {\"box_2d\": [302, 563, 353, 591], \"label\": \"six die\"},\n {\"box_2d\": [308, 597, 360, 624], \"label\": \"one die\"},\n {\"box_2d\": [193, 634, 253, 667], \"label\": \"six die\"},\n {\"box_2d\": [258, 633, 315, 665], \"label\": \"four die\"},\n {\"box_2d\": [290, 684, 347, 716], \"label\": \"two die\"},\n {\"box_2d\": [374, 687, 432, 721], \"label\": \"three die\"},\n {\"box_2d\": [420, 660, 477, 692], \"label\": \"six die\"},\n {\"box_2d\": [473, 683, 531, 716], \"label\": \"three die\"},\n {\"box_2d\": [483, 715, 542, 748], \"label\": \"two die\"},\n {\"box_2d\": [128, 710, 186, 743], \"label\": \"six die\"},\n {\"box_2d\": [105, 750, 163, 782], \"label\": \"three die\"},\n {\"box_2d\": [58, 790, 115, 821], \"label\": \"two die\"},\n {\"box_2d\": [208, 883, 263, 916], \"label\": \"five die\"},\n {\"box_2d\": [303, 917, 362, 950], \"label\": \"three die\"},\n {\"box_2d\": [296, 788, 355, 822], \"label\": \"three die\"},\n {\"box_2d\": [342, 778, 401, 811], \"label\": \"four die\"},\n {\"box_2d\": [539, 804, 586, 833], \"label\": \"six die\"},\n {\"box_2d\": [579, 828, 626, 856], \"label\": \"five die\"},\n {\"box_2d\": [610, 789, 657, 818], \"label\": \"six die\"},\n {\"box_2d\": [652, 711, 711, 744], \"label\": \"two die\"},\n {\"box_2d\": [678, 855, 728, 885], \"label\": \"six die\"}\n]\n```", "correct": false, "input_tokens": 1252, "output_tokens": 5161, "elapsed_seconds": 36.42561629193369, "metadata": {"match_method": "map", "num_predictions": 47, "num_ground_truth": 48, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7024752497673035, "attempts": 1, "retries": 0, "total_seconds": 36.4668}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 172, "image": "IMG_20220316_171754_jpg.rf.02842914dec30f998cea03868026b96a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [86, 192, 405, 487], \"label\": \"eight of clubs\"},\n {\"box_2d\": [286, 275, 646, 540], \"label\": \"seven of clubs\"},\n {\"box_2d\": [294, 419, 674, 740], \"label\": \"five of clubs\"},\n {\"box_2d\": [457, 517, 941, 922], \"label\": \"six of clubs\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 523, "elapsed_seconds": 6.337809749995358, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 6.375}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 173, "image": "39_jpg.rf.edb5339d00a37b75d6cf16c1f9a301ff.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [173, 165, 215, 206], \"label\": \"resistor symbol\"},\n {\"box_2d\": [152, 353, 201, 405], \"label\": \"resistor symbol\"},\n {\"box_2d\": [353, 270, 452, 286], \"label\": \"resistor symbol\"},\n {\"box_2d\": [351, 480, 453, 498], \"label\": \"resistor symbol\"},\n {\"box_2d\": [773, 330, 839, 401], \"label\": \"resistor symbol\"},\n {\"box_2d\": [318, 673, 424, 691], \"label\": \"resistor symbol\"},\n {\"box_2d\": [156, 767, 194, 812], \"label\": \"resistor symbol\"},\n {\"box_2d\": [443, 855, 545, 875], \"label\": \"resistor symbol\"},\n {\"box_2d\": [467, 61, 634, 125], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [118, 555, 211, 620], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [805, 274, 896, 300], \"label\": \"ground symbol\"}\n]\n```", "correct": true, "input_tokens": 1216, "output_tokens": 2154, "elapsed_seconds": 24.18060841690749, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 10, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 24.2552}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 174, "image": "99FB9DDE-58F9-4BBA-8CC2-48146BC0EBC5_jpg.rf.1cef29e3b05e7507a4b618bd8b857503.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [191, 248, 252, 310], \"label\": \"pill\"},\n {\"box_2d\": [181, 443, 244, 504], \"label\": \"pill\"},\n {\"box_2d\": [293, 202, 353, 265], \"label\": \"pill\"},\n {\"box_2d\": [352, 180, 413, 243], \"label\": \"pill\"},\n {\"box_2d\": [416, 134, 476, 198], \"label\": \"pill\"},\n {\"box_2d\": [270, 327, 330, 388], \"label\": \"pill\"},\n {\"box_2d\": [335, 284, 396, 345], \"label\": \"pill\"},\n {\"box_2d\": [387, 310, 446, 372], \"label\": \"pill\"},\n {\"box_2d\": [419, 245, 479, 307], \"label\": \"pill\"},\n {\"box_2d\": [472, 303, 533, 366], \"label\": \"pill\"},\n {\"box_2d\": [515, 344, 575, 406], \"label\": \"pill\"},\n {\"box_2d\": [445, 358, 505, 420], \"label\": \"pill\"},\n {\"box_2d\": [377, 390, 437, 451], \"label\": \"pill\"},\n {\"box_2d\": [318, 408, 378, 468], \"label\": \"pill\"},\n {\"box_2d\": [278, 450, 339, 510], \"label\": \"pill\"},\n {\"box_2d\": [334, 468, 394, 529], \"label\": \"pill\"},\n {\"box_2d\": [399, 476, 459, 537], \"label\": \"pill\"},\n {\"box_2d\": [445, 439, 506, 500], \"label\": \"pill\"},\n {\"box_2d\": [504, 413, 565, 474], \"label\": \"pill\"},\n {\"box_2d\": [489, 485, 549, 546], \"label\": \"pill\"},\n {\"box_2d\": [551, 466, 613, 527], \"label\": \"pill\"},\n {\"box_2d\": [612, 449, 673, 511], \"label\": \"pill\"},\n {\"box_2d\": [592, 365, 654, 428], \"label\": \"pill\"},\n {\"box_2d\": [601, 281, 665, 346], \"label\": \"pill\"},\n {\"box_2d\": [620, 199, 682, 264], \"label\": \"pill\"},\n {\"box_2d\": [387, 545, 447, 606], \"label\": \"pill\"},\n {\"box_2d\": [450, 532, 511, 593], \"label\": \"pill\"},\n {\"box_2d\": [507, 560, 569, 622], \"label\": \"pill\"},\n {\"box_2d\": [562, 530, 625, 592], \"label\": \"pill\"},\n {\"box_2d\": [635, 539, 698, 601], \"label\": \"pill\"},\n {\"box_2d\": [429, 612, 490, 674], \"label\": \"pill\"},\n {\"box_2d\": [403, 667, 465, 730], \"label\": \"pill\"},\n {\"box_2d\": [685, 762, 751, 829], \"label\": \"pill\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 3404, "elapsed_seconds": 29.152455916977488, "metadata": {"match_method": "map", "num_predictions": 33, "num_ground_truth": 33, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 29.4796}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 175, "image": "8a_tire_2024-10-17_62_png_jpg.rf.da90fbf7f0527f341a28f165c3e83dac.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [143, 345, 190, 439], \"label\": \"tire size text\"},\n {\"box_2d\": [460, 56, 659, 97], \"label\": \"tire size text\"},\n {\"box_2d\": [458, 912, 650, 949], \"label\": \"tire size text\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 1013, "elapsed_seconds": 16.99599949992262, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 17.3555}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 176, "image": "frame_0002_03_jpg.rf.dda0be95dbf94773efee5983feb50582.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [465, 330, 524, 360], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [477, 398, 535, 430], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [484, 473, 542, 505], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [488, 545, 548, 578], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [591, 327, 650, 357], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [603, 397, 667, 430], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [610, 470, 673, 502], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [616, 542, 678, 576], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [717, 320, 776, 352], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [734, 388, 795, 421], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [742, 461, 804, 494], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [749, 534, 811, 568], \"label\": \"soda bottle cap\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 1279, "elapsed_seconds": 15.933179874904454, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 16.3258}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 177, "image": "f77_jpg.rf.82279850cbac861dc93376eb2c7be55d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 56, 444, 240], \"label\": \"wildfire\"},\n {\"box_2d\": [0, 746, 723, 1000], \"label\": \"wildfire\"},\n {\"box_2d\": [309, 136, 444, 228], \"label\": \"wildfire\"},\n {\"box_2d\": [472, 746, 723, 860], \"label\": \"wildfire\"},\n {\"box_2d\": [152, 295, 196, 314], \"label\": \"wildfire\"},\n {\"box_2d\": [488, 642, 523, 661], \"label\": \"wildfire\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 1699, "elapsed_seconds": 20.79382074996829, "metadata": {"match_method": "map", "num_predictions": 6, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.301980197429657, "attempts": 1, "retries": 0, "total_seconds": 20.8745}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 178, "image": "1219_48_jpg.rf.d6aecd0b221112666e45beae667e3572.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 5, 123, 130], \"label\": \"white king\"},\n {\"box_2d\": [2, 385, 127, 474], \"label\": \"white queen\"},\n {\"box_2d\": [16, 892, 118, 998], \"label\": \"white bishop\"},\n {\"box_2d\": [142, 386, 236, 478], \"label\": \"white bishop\"},\n {\"box_2d\": [280, 646, 353, 720], \"label\": \"white pawn\"},\n {\"box_2d\": [399, 275, 487, 366], \"label\": \"black king\"},\n {\"box_2d\": [399, 519, 479, 599], \"label\": \"white rook\"},\n {\"box_2d\": [397, 767, 482, 879], \"label\": \"black queen\"},\n {\"box_2d\": [497, 770, 577, 862], \"label\": \"black rook\"},\n {\"box_2d\": [513, 270, 596, 357], \"label\": \"white knight\"},\n {\"box_2d\": [522, 636, 602, 735], \"label\": \"black knight\"},\n {\"box_2d\": [533, 146, 613, 233], \"label\": \"black rook\"},\n {\"box_2d\": [636, 8, 717, 117], \"label\": \"black knight\"},\n {\"box_2d\": [649, 527, 729, 622], \"label\": \"white knight\"},\n {\"box_2d\": [666, 750, 738, 829], \"label\": \"black pawn\"},\n {\"box_2d\": [748, 252, 838, 342], \"label\": \"black bishop\"},\n {\"box_2d\": [869, 276, 987, 367], \"label\": \"black queen\"}\n]\n```", "correct": true, "input_tokens": 1259, "output_tokens": 1914, "elapsed_seconds": 18.066295959055424, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 17, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 18.2435}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 179, "image": "f27_jpg.rf.b153b2c59a95b68f3f9edb924d42cee4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [46, 241, 412, 395], \"label\": \"wildfire\"},\n {\"box_2d\": [174, 598, 444, 725], \"label\": \"wildfire\"},\n {\"box_2d\": [596, 177, 941, 394], \"label\": \"wildfire\"},\n {\"box_2d\": [646, 676, 744, 733], \"label\": \"wildfire\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 5706, "elapsed_seconds": 64.90140712505672, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 2, "retries": 1, "total_seconds": 128.9998, "transient_errors": ["RemoteProtocolError"]}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 180, "image": "img_461922717831528641_png.rf.c1eccbe6f38478b43fbba2e4cba33ac0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [58, 181, 162, 323], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [28, 321, 132, 456], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [68, 443, 175, 581], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [35, 574, 141, 709], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [79, 697, 187, 839], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [152, 169, 267, 320], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [120, 310, 232, 453], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [164, 439, 277, 583], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [128, 572, 238, 715], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [169, 697, 285, 847], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [252, 157, 376, 315], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [217, 304, 333, 451], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [264, 439, 381, 585], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [223, 571, 339, 718], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [269, 701, 389, 855], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [360, 144, 488, 309], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [320, 298, 444, 449], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [368, 436, 490, 588], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [324, 573, 447, 725], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [373, 706, 496, 868], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [474, 130, 603, 302], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [432, 290, 558, 447], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [478, 431, 603, 590], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [434, 573, 558, 731], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [484, 710, 606, 882], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [597, 113, 725, 294], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [552, 280, 678, 442], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [599, 428, 723, 591], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [551, 574, 676, 742], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [602, 717, 725, 902], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [724, 92, 864, 286], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [676, 270, 804, 439], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [721, 424, 858, 595], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [673, 573, 801, 750], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [723, 726, 859, 916], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [856, 77, 1000, 272], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [801, 256, 956, 435], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [854, 419, 1000, 596], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [800, 577, 953, 761], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [851, 740, 1000, 935], \"label\": \"empty portable gas cylinder\"}\n]\n```", "correct": false, "input_tokens": 1208, "output_tokens": 3449, "elapsed_seconds": 27.252626416971907, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 40, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.4122750163078308, "attempts": 1, "retries": 0, "total_seconds": 27.3284}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 181, "image": "20230113_134921_jpg.rf.98498c853848c0b93af6274d6758c4d5.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [519, 800, 538, 880], \"label\": \"crack\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 241, "elapsed_seconds": 5.431932415929623, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 5.445}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 182, "image": "IMG_0618_jpeg.rf.efa7b9f1261718cff400e2cf104b3017.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [375, 238, 443, 308], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [497, 205, 588, 256], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [612, 243, 683, 327], \"label\": \"peach jelly bean\"},\n {\"box_2d\": [616, 402, 713, 474], \"label\": \"peach jelly bean\"},\n {\"box_2d\": [485, 345, 575, 408], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [357, 394, 431, 458], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [276, 460, 336, 527], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [607, 626, 713, 683], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [436, 520, 517, 584], \"label\": \"caramel corn jelly bean\"},\n {\"box_2d\": [343, 577, 419, 625], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [452, 694, 523, 773], \"label\": \"mixed berry smoothie jelly bean\"}\n]\n```", "correct": true, "input_tokens": 1230, "output_tokens": 2083, "elapsed_seconds": 18.016146291978657, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 18.0519}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 183, "image": "1668146875__jpg.rf.3051c36c0a756d3687be5c2fb0ad5141.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [573, 169, 621, 198], \"label\": \"four die\"},\n {\"box_2d\": [440, 218, 493, 250], \"label\": \"three die\"},\n {\"box_2d\": [231, 272, 290, 304], \"label\": \"six die\"},\n {\"box_2d\": [218, 297, 274, 329], \"label\": \"six die\"},\n {\"box_2d\": [270, 302, 326, 333], \"label\": \"five die\"},\n {\"box_2d\": [342, 301, 389, 328], \"label\": \"five die\"},\n {\"box_2d\": [304, 324, 353, 351], \"label\": \"four die\"},\n {\"box_2d\": [388, 311, 437, 339], \"label\": \"five die\"},\n {\"box_2d\": [350, 337, 396, 363], \"label\": \"four die\"},\n {\"box_2d\": [299, 349, 348, 375], \"label\": \"six die\"},\n {\"box_2d\": [411, 340, 466, 372], \"label\": \"two die\"},\n {\"box_2d\": [200, 348, 258, 381], \"label\": \"five die\"},\n {\"box_2d\": [292, 372, 341, 399], \"label\": \"three die\"},\n {\"box_2d\": [340, 368, 388, 395], \"label\": \"four die\"},\n {\"box_2d\": [282, 395, 333, 424], \"label\": \"two die\"},\n {\"box_2d\": [100, 362, 160, 396], \"label\": \"six die\"},\n {\"box_2d\": [182, 389, 238, 420], \"label\": \"two die\"},\n {\"box_2d\": [111, 405, 170, 437], \"label\": \"two die\"},\n {\"box_2d\": [181, 433, 242, 467], \"label\": \"six die\"},\n {\"box_2d\": [291, 516, 350, 550], \"label\": \"six die\"},\n {\"box_2d\": [362, 540, 417, 572], \"label\": \"two die\"},\n {\"box_2d\": [412, 492, 463, 521], \"label\": \"five die\"},\n {\"box_2d\": [513, 389, 570, 420], \"label\": \"five die\"},\n {\"box_2d\": [587, 381, 643, 412], \"label\": \"two die\"},\n {\"box_2d\": [530, 450, 588, 483], \"label\": \"three die\"},\n {\"box_2d\": [768, 325, 817, 353], \"label\": \"six die\"},\n {\"box_2d\": [816, 314, 868, 343], \"label\": \"five die\"},\n {\"box_2d\": [848, 374, 899, 402], \"label\": \"six die\"},\n {\"box_2d\": [819, 426, 878, 458], \"label\": \"five die\"},\n {\"box_2d\": [757, 440, 804, 466], \"label\": \"five die\"},\n {\"box_2d\": [707, 442, 757, 470], \"label\": \"four die\"},\n {\"box_2d\": [649, 471, 703, 502], \"label\": \"six die\"},\n {\"box_2d\": [684, 495, 740, 527], \"label\": \"six die\"},\n {\"box_2d\": [640, 514, 695, 546], \"label\": \"two die\"},\n {\"box_2d\": [589, 531, 635, 557], \"label\": \"five die\"},\n {\"box_2d\": [34, 674, 92, 706], \"label\": \"four die\"},\n {\"box_2d\": [149, 781, 198, 809], \"label\": \"three die\"},\n {\"box_2d\": [201, 765, 250, 794], \"label\": \"one die\"},\n {\"box_2d\": [257, 715, 312, 747], \"label\": \"three die\"},\n {\"box_2d\": [341, 684, 396, 715], \"label\": \"two die\"},\n {\"box_2d\": [399, 648, 443, 675], \"label\": \"four die\"},\n {\"box_2d\": [364, 773, 412, 802], \"label\": \"three die\"},\n {\"box_2d\": [394, 748, 452, 782], \"label\": \"one die\"},\n {\"box_2d\": [450, 757, 496, 785], \"label\": \"four die\"},\n {\"box_2d\": [496, 757, 544, 786], \"label\": \"four die\"},\n {\"box_2d\": [439, 808, 490, 839], \"label\": \"six die\"},\n {\"box_2d\": [667, 793, 721, 826], \"label\": \"three die\"}\n]\n```", "correct": false, "input_tokens": 1252, "output_tokens": 3877, "elapsed_seconds": 31.592889416962862, "metadata": {"match_method": "map", "num_predictions": 47, "num_ground_truth": 48, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7798555493354797, "attempts": 1, "retries": 0, "total_seconds": 31.6308}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 184, "image": "C440AC87-A6AC-47BA-9CB8-2E8D0B276501_jpg.rf.8b0f079f1f23f56b5c9934be046152df.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [164, 249, 239, 325], \"label\": \"pill\"},\n {\"box_2d\": [161, 369, 236, 443], \"label\": \"pill\"},\n {\"box_2d\": [228, 166, 305, 246], \"label\": \"pill\"},\n {\"box_2d\": [243, 305, 319, 382], \"label\": \"pill\"},\n {\"box_2d\": [326, 123, 405, 205], \"label\": \"pill\"},\n {\"box_2d\": [305, 273, 383, 352], \"label\": \"pill\"},\n {\"box_2d\": [357, 320, 434, 399], \"label\": \"pill\"},\n {\"box_2d\": [353, 405, 430, 482], \"label\": \"pill\"},\n {\"box_2d\": [297, 456, 374, 532], \"label\": \"pill\"},\n {\"box_2d\": [290, 548, 365, 623], \"label\": \"pill\"},\n {\"box_2d\": [315, 615, 392, 692], \"label\": \"pill\"},\n {\"box_2d\": [306, 689, 383, 766], \"label\": \"pill\"},\n {\"box_2d\": [361, 544, 437, 622], \"label\": \"pill\"},\n {\"box_2d\": [374, 704, 453, 785], \"label\": \"pill\"},\n {\"box_2d\": [429, 648, 509, 729], \"label\": \"pill\"},\n {\"box_2d\": [475, 583, 556, 663], \"label\": \"pill\"},\n {\"box_2d\": [429, 522, 508, 601], \"label\": \"pill\"},\n {\"box_2d\": [437, 434, 517, 513], \"label\": \"pill\"},\n {\"box_2d\": [413, 364, 491, 442], \"label\": \"pill\"},\n {\"box_2d\": [414, 276, 493, 357], \"label\": \"pill\"},\n {\"box_2d\": [465, 162, 546, 245], \"label\": \"pill\"},\n {\"box_2d\": [480, 239, 561, 321], \"label\": \"pill\"},\n {\"box_2d\": [473, 320, 554, 401], \"label\": \"pill\"},\n {\"box_2d\": [542, 282, 625, 366], \"label\": \"pill\"},\n {\"box_2d\": [573, 354, 656, 437], \"label\": \"pill\"},\n {\"box_2d\": [601, 437, 686, 520], \"label\": \"pill\"},\n {\"box_2d\": [587, 520, 670, 603], \"label\": \"pill\"},\n {\"box_2d\": [508, 514, 589, 595], \"label\": \"pill\"},\n {\"box_2d\": [581, 677, 665, 762], \"label\": \"pill\"},\n {\"box_2d\": [793, 59, 885, 152], \"label\": \"pill\"},\n {\"box_2d\": [701, 160, 789, 248], \"label\": \"pill\"},\n {\"box_2d\": [689, 245, 777, 332], \"label\": \"pill\"},\n {\"box_2d\": [780, 220, 872, 310], \"label\": \"pill\"},\n {\"box_2d\": [719, 320, 809, 408], \"label\": \"pill\"},\n {\"box_2d\": [722, 495, 811, 582], \"label\": \"pill\"},\n {\"box_2d\": [810, 479, 902, 568], \"label\": \"pill\"},\n {\"box_2d\": [771, 570, 862, 658], \"label\": \"pill\"},\n {\"box_2d\": [703, 619, 793, 706], \"label\": \"pill\"},\n {\"box_2d\": [698, 702, 787, 789], \"label\": \"pill\"},\n {\"box_2d\": [692, 784, 781, 870], \"label\": \"pill\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 3196, "elapsed_seconds": 30.849783166893758, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 40, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 31.2529}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 185, "image": "preannot3_62_png.rf.0c5f5d9500c1d4c579c64d746f68b358.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [21, 333, 31, 353], \"label\": \"tire spike normal\"},\n {\"box_2d\": [29, 642, 40, 661], \"label\": \"tire spike normal\"},\n {\"box_2d\": [70, 619, 82, 642], \"label\": \"tire spike normal\"},\n {\"box_2d\": [90, 297, 104, 319], \"label\": \"tire spike normal\"},\n {\"box_2d\": [109, 696, 123, 718], \"label\": \"tire spike normal\"},\n {\"box_2d\": [150, 238, 165, 259], \"label\": \"tire spike normal\"},\n {\"box_2d\": [180, 655, 196, 680], \"label\": \"tire spike normal\"},\n {\"box_2d\": [235, 304, 252, 326], \"label\": \"tire spike normal\"},\n {\"box_2d\": [252, 699, 270, 725], \"label\": \"tire spike normal\"},\n {\"box_2d\": [293, 241, 311, 267], \"label\": \"tire spike normal\"},\n {\"box_2d\": [321, 745, 338, 769], \"label\": \"tire spike absent\"},\n {\"box_2d\": [364, 200, 383, 226], \"label\": \"tire spike absent\"},\n {\"box_2d\": [395, 772, 412, 795], \"label\": \"tire spike normal\"},\n {\"box_2d\": [444, 220, 463, 244], \"label\": \"tire spike normal\"},\n {\"box_2d\": [506, 653, 524, 680], \"label\": \"tire spike normal\"},\n {\"box_2d\": [560, 326, 579, 352], \"label\": \"tire spike normal\"},\n {\"box_2d\": [571, 694, 590, 720], \"label\": \"tire spike normal\"},\n {\"box_2d\": [617, 268, 636, 293], \"label\": \"tire spike normal\"},\n {\"box_2d\": [676, 634, 695, 661], \"label\": \"tire spike normal\"},\n {\"box_2d\": [706, 316, 725, 342], \"label\": \"tire spike normal\"},\n {\"box_2d\": [709, 754, 727, 778], \"label\": \"tire spike normal\"},\n {\"box_2d\": [757, 245, 774, 270], \"label\": \"tire spike normal\"},\n {\"box_2d\": [802, 668, 818, 694], \"label\": \"tire spike normal\"},\n {\"box_2d\": [855, 720, 869, 743], \"label\": \"tire spike normal\"},\n {\"box_2d\": [899, 290, 913, 314], \"label\": \"tire spike normal\"},\n {\"box_2d\": [931, 246, 943, 268], \"label\": \"tire spike normal\"},\n {\"box_2d\": [931, 640, 943, 662], \"label\": \"tire spike normal\"},\n {\"box_2d\": [941, 735, 954, 756], \"label\": \"tire spike normal\"}\n]\n```", "correct": false, "input_tokens": 1206, "output_tokens": 2823, "elapsed_seconds": 23.397450375021435, "metadata": {"match_method": "map", "num_predictions": 28, "num_ground_truth": 32, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6454684138298035, "attempts": 1, "retries": 0, "total_seconds": 23.4581}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 186, "image": "floorplan-windows-doors_10035_png.rf.4ea81a436186bba253c43df724f8ab26.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [216, 184, 297, 238], \"label\": \"door\"},\n {\"box_2d\": [287, 310, 348, 347], \"label\": \"door\"},\n {\"box_2d\": [457, 310, 519, 347], \"label\": \"door\"},\n {\"box_2d\": [265, 396, 340, 445], \"label\": \"door\"},\n {\"box_2d\": [382, 439, 452, 489], \"label\": \"door\"},\n {\"box_2d\": [465, 396, 540, 445], \"label\": \"door\"},\n {\"box_2d\": [214, 678, 286, 728], \"label\": \"door\"},\n {\"box_2d\": [393, 769, 464, 821], \"label\": \"door\"},\n {\"box_2d\": [540, 766, 616, 816], \"label\": \"door\"},\n {\"box_2d\": [556, 677, 631, 728], \"label\": \"door\"},\n {\"box_2d\": [591, 826, 661, 870], \"label\": \"door\"},\n {\"box_2d\": [618, 917, 692, 986], \"label\": \"door\"},\n {\"box_2d\": [750, 486, 845, 542], \"label\": \"door\"},\n {\"box_2d\": [11, 134, 35, 191], \"label\": \"window\"},\n {\"box_2d\": [11, 342, 35, 438], \"label\": \"window\"},\n {\"box_2d\": [11, 502, 35, 581], \"label\": \"window\"},\n {\"box_2d\": [11, 589, 35, 667], \"label\": \"window\"},\n {\"box_2d\": [11, 773, 35, 851], \"label\": \"window\"},\n {\"box_2d\": [319, 916, 416, 936], \"label\": \"window\"},\n {\"box_2d\": [749, 773, 774, 835], \"label\": \"window\"},\n {\"box_2d\": [749, 597, 774, 675], \"label\": \"window\"},\n {\"box_2d\": [749, 339, 774, 409], \"label\": \"window\"}\n]\n```", "correct": true, "input_tokens": 1245, "output_tokens": 2417, "elapsed_seconds": 20.47913916700054, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 20.5175}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 187, "image": "IMG_6647_jpeg_jpg.rf.c9080c42346e2e5efd9c896163bdce7e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [478, 265, 594, 470], \"label\": \"white poker chip\"},\n {\"box_2d\": [556, 266, 611, 464], \"label\": \"white poker chip\"},\n {\"box_2d\": [566, 262, 628, 462], \"label\": \"white poker chip\"},\n {\"box_2d\": [574, 259, 654, 461], \"label\": \"white poker chip\"},\n {\"box_2d\": [220, 505, 281, 749], \"label\": \"white poker chip\"},\n {\"box_2d\": [255, 511, 307, 753], \"label\": \"white poker chip\"},\n {\"box_2d\": [279, 514, 333, 759], \"label\": \"white poker chip\"},\n {\"box_2d\": [305, 524, 358, 766], \"label\": \"white poker chip\"},\n {\"box_2d\": [318, 515, 381, 756], \"label\": \"white poker chip\"},\n {\"box_2d\": [343, 514, 404, 750], \"label\": \"white poker chip\"},\n {\"box_2d\": [365, 514, 426, 749], \"label\": \"white poker chip\"},\n {\"box_2d\": [378, 511, 446, 742], \"label\": \"white poker chip\"},\n {\"box_2d\": [385, 498, 466, 729], \"label\": \"white poker chip\"},\n {\"box_2d\": [420, 499, 488, 725], \"label\": \"white poker chip\"},\n {\"box_2d\": [441, 499, 508, 723], \"label\": \"white poker chip\"},\n {\"box_2d\": [453, 492, 529, 717], \"label\": \"white poker chip\"},\n {\"box_2d\": [464, 486, 548, 712], \"label\": \"white poker chip\"},\n {\"box_2d\": [497, 486, 569, 709], \"label\": \"white poker chip\"},\n {\"box_2d\": [511, 482, 588, 699], \"label\": \"white poker chip\"},\n {\"box_2d\": [531, 479, 605, 695], \"label\": \"white poker chip\"},\n {\"box_2d\": [546, 473, 621, 695], \"label\": \"white poker chip\"},\n {\"box_2d\": [559, 470, 637, 683], \"label\": \"white poker chip\"},\n {\"box_2d\": [587, 471, 654, 678], \"label\": \"white poker chip\"},\n {\"box_2d\": [602, 474, 669, 675], \"label\": \"white poker chip\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 2950, "elapsed_seconds": 25.07495816599112, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 24, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9504950642585754, "attempts": 1, "retries": 0, "total_seconds": 25.0919}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 188, "image": "IMG_20220316_141641_jpg.rf.2b5b442678a6dd37dce39460868771a9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [190, 99, 577, 424], \"label\": \"jack of spades\"},\n {\"box_2d\": [140, 333, 526, 653], \"label\": \"ten of spades\"},\n {\"box_2d\": [143, 567, 527, 868], \"label\": \"queen of spades\"},\n {\"box_2d\": [445, 29, 879, 400], \"label\": \"nine of spades\"},\n {\"box_2d\": [548, 344, 960, 696], \"label\": \"king of spades\"}\n]\n```", "correct": true, "input_tokens": 1218, "output_tokens": 621, "elapsed_seconds": 7.081125834025443, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 7.1016}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 189, "image": "img_460975841708081304_png.rf.71eaf0b919ddab2a648aa76c72cc4a00.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [159, 145, 300, 252], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [176, 250, 311, 351], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [187, 352, 311, 446], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [201, 444, 333, 538], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [216, 534, 344, 629], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [228, 622, 352, 718], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [239, 710, 361, 806], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [242, 118, 405, 240], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [261, 236, 416, 347], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [273, 344, 412, 446], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [285, 444, 434, 546], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [296, 541, 449, 643], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [308, 636, 452, 742], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [321, 729, 461, 834], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [344, 86, 527, 221], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [364, 217, 533, 338], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [375, 336, 535, 447], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [386, 445, 550, 554], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [396, 548, 560, 661], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [407, 650, 562, 767], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [417, 748, 566, 867], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [469, 44, 672, 198], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [482, 190, 677, 327], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [495, 323, 675, 446], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [501, 445, 687, 565], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [508, 556, 697, 684], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [518, 671, 697, 796], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [525, 777, 695, 907], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [621, 0, 860, 174], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [634, 162, 861, 314], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [641, 311, 855, 447], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [642, 443, 860, 579], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [645, 570, 858, 709], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [658, 691, 858, 836], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [660, 813, 852, 957], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [811, 0, 1000, 136], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [822, 121, 1000, 297], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [819, 293, 1000, 445], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [821, 445, 1000, 595], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [820, 588, 1000, 742], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [824, 725, 1000, 879], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [825, 852, 1000, 1000], \"label\": \"full portable gas cylinder\"}\n]\n```", "correct": true, "input_tokens": 1203, "output_tokens": 3222, "elapsed_seconds": 34.50008412497118, "metadata": {"match_method": "map", "num_predictions": 42, "num_ground_truth": 42, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 34.5788}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 190, "image": "0000242_03668_d_0000012_jpg.rf.06096e6f084464419e172f0d35ca4d48.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [777, 156, 963, 229], \"label\": \"car\"},\n {\"box_2d\": [454, 319, 550, 360], \"label\": \"car\"},\n {\"box_2d\": [446, 487, 532, 523], \"label\": \"car\"},\n {\"box_2d\": [306, 242, 369, 302], \"label\": \"car\"},\n {\"box_2d\": [249, 510, 304, 539], \"label\": \"car\"},\n {\"box_2d\": [309, 714, 360, 779], \"label\": \"car\"},\n {\"box_2d\": [375, 864, 431, 905], \"label\": \"car\"},\n {\"box_2d\": [556, 691, 631, 741], \"label\": \"car\"},\n {\"box_2d\": [604, 622, 1000, 770], \"label\": \"bus\"},\n {\"box_2d\": [354, 111, 405, 186], \"label\": \"car\"},\n {\"box_2d\": [272, 59, 335, 105], \"label\": \"van\"},\n {\"box_2d\": [222, 305, 290, 341], \"label\": \"car\"},\n {\"box_2d\": [393, 42, 436, 95], \"label\": \"tricycle\"},\n {\"box_2d\": [397, 106, 434, 136], \"label\": \"motorcycle\"},\n {\"box_2d\": [412, 176, 455, 217], \"label\": \"tricycle\"},\n {\"box_2d\": [33, 481, 65, 499], \"label\": \"car\"},\n {\"box_2d\": [135, 544, 179, 565], \"label\": \"car\"},\n {\"box_2d\": [349, 0, 403, 19], \"label\": \"car\"},\n {\"box_2d\": [274, 864, 311, 875], \"label\": \"person\"},\n {\"box_2d\": [408, 190, 443, 204], \"label\": \"person\"},\n {\"box_2d\": [390, 66, 424, 80], \"label\": \"person\"},\n {\"box_2d\": [387, 111, 425, 127], \"label\": \"person\"}\n]\n```", "correct": false, "input_tokens": 1253, "output_tokens": 1904, "elapsed_seconds": 28.33360829099547, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 41, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.43857717514038086, "attempts": 1, "retries": 0, "total_seconds": 28.3598}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 191, "image": "DJI_20230529111835_0160_T_JPG_jpg.rf.cb5b9a9d87fdc7c9ff407eb5530abb88.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [31, 75, 46, 89], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [102, 446, 118, 460], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [99, 486, 117, 502], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [97, 527, 114, 542], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [92, 608, 110, 623], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [358, 383, 373, 397], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [448, 511, 466, 528], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [445, 588, 463, 603], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [424, 960, 441, 974], \"label\": \"solar panel hot spot\"}\n]\n```", "correct": false, "input_tokens": 1228, "output_tokens": 1203, "elapsed_seconds": 11.170142958988436, "metadata": {"match_method": "map", "num_predictions": 9, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7524752616882324, "attempts": 1, "retries": 0, "total_seconds": 11.189}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 192, "image": "oil-tank-detection_oiltank_72_jpg.rf.bfd5af54297ea9f409419db50cd04705.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [252, 329, 340, 409], \"label\": \"oil tank\"},\n {\"box_2d\": [361, 385, 454, 468], \"label\": \"oil tank\"},\n {\"box_2d\": [360, 509, 453, 591], \"label\": \"oil tank\"},\n {\"box_2d\": [479, 444, 577, 531], \"label\": \"oil tank\"},\n {\"box_2d\": [604, 509, 709, 598], \"label\": \"oil tank\"},\n {\"box_2d\": [476, 183, 575, 269], \"label\": \"oil tank\"},\n {\"box_2d\": [587, 231, 688, 319], \"label\": \"oil tank\"},\n {\"box_2d\": [703, 281, 809, 375], \"label\": \"oil tank\"},\n {\"box_2d\": [566, 43, 667, 133], \"label\": \"oil tank\"},\n {\"box_2d\": [680, 91, 786, 182], \"label\": \"oil tank\"},\n {\"box_2d\": [800, 140, 910, 232], \"label\": \"oil tank\"}\n]\n```", "correct": true, "input_tokens": 1217, "output_tokens": 1171, "elapsed_seconds": 13.547147332923487, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 13.6082}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 193, "image": "fall-detection_11_mp4-445_jpg.rf.ec9538d8514a0521c6f155cde47497f3.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [497, 612, 566, 712], \"label\": \"fallen person\"},\n {\"box_2d\": [485, 825, 538, 945], \"label\": \"fallen person\"},\n {\"box_2d\": [686, 227, 781, 359], \"label\": \"fallen person\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 588, "elapsed_seconds": 7.639635749976151, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 7.6548}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 194, "image": "IMG_0619_jpeg.rf.c3c23da72f8dbeb2815ccc4646178889.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [264, 307, 349, 376], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [348, 748, 434, 839], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [260, 477, 332, 543], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [254, 639, 324, 702], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [318, 543, 409, 610], \"label\": \"caramel corn jelly bean\"},\n {\"box_2d\": [347, 360, 449, 424], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [451, 494, 570, 579], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [481, 185, 610, 279], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [621, 344, 756, 476], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [485, 676, 574, 790], \"label\": \"peach jelly bean\"},\n {\"box_2d\": [599, 578, 750, 676], \"label\": \"peach jelly bean\"}\n]\n```", "correct": true, "input_tokens": 1230, "output_tokens": 6195, "elapsed_seconds": 57.40367533394601, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 2, "retries": 1, "total_seconds": 121.0897, "transient_errors": ["RemoteProtocolError"]}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 195, "image": "GP010243_JPG_jpg.rf.64d32b7106e99e9f954d84ee868d21ec.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [60, 353, 252, 387], \"label\": \"carrot\"},\n {\"box_2d\": [88, 386, 220, 462], \"label\": \"carrot\"},\n {\"box_2d\": [167, 373, 313, 417], \"label\": \"carrot\"},\n {\"box_2d\": [162, 392, 304, 443], \"label\": \"carrot\"},\n {\"box_2d\": [95, 446, 187, 488], \"label\": \"carrot\"},\n {\"box_2d\": [136, 470, 319, 571], \"label\": \"carrot\"},\n {\"box_2d\": [90, 495, 180, 616], \"label\": \"carrot\"},\n {\"box_2d\": [129, 562, 336, 607], \"label\": \"carrot\"},\n {\"box_2d\": [151, 528, 220, 681], \"label\": \"carrot\"},\n {\"box_2d\": [160, 621, 294, 686], \"label\": \"carrot\"},\n {\"box_2d\": [216, 614, 368, 694], \"label\": \"carrot\"},\n {\"box_2d\": [235, 618, 391, 703], \"label\": \"carrot\"},\n {\"box_2d\": [278, 678, 421, 709], \"label\": \"carrot\"},\n {\"box_2d\": [260, 474, 408, 608], \"label\": \"carrot\"},\n {\"box_2d\": [272, 451, 474, 490], \"label\": \"carrot\"},\n {\"box_2d\": [286, 484, 422, 511], \"label\": \"carrot\"},\n {\"box_2d\": [285, 344, 377, 453], \"label\": \"carrot\"},\n {\"box_2d\": [342, 408, 518, 444], \"label\": \"carrot\"},\n {\"box_2d\": [371, 390, 540, 417], \"label\": \"carrot\"},\n {\"box_2d\": [432, 343, 588, 394], \"label\": \"carrot\"},\n {\"box_2d\": [529, 343, 579, 473], \"label\": \"carrot\"},\n {\"box_2d\": [395, 488, 454, 631], \"label\": \"carrot\"},\n {\"box_2d\": [374, 558, 488, 684], \"label\": \"carrot\"},\n {\"box_2d\": [347, 595, 510, 626], \"label\": \"carrot\"},\n {\"box_2d\": [424, 567, 518, 603], \"label\": \"carrot\"},\n {\"box_2d\": [471, 416, 497, 577], \"label\": \"carrot\"},\n {\"box_2d\": [497, 423, 536, 572], \"label\": \"carrot\"},\n {\"box_2d\": [581, 482, 614, 684], \"label\": \"carrot\"},\n {\"box_2d\": [608, 473, 648, 653], \"label\": \"carrot\"},\n {\"box_2d\": [612, 384, 731, 444], \"label\": \"carrot\"},\n {\"box_2d\": [627, 384, 756, 543], \"label\": \"carrot\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 2736, "elapsed_seconds": 27.601856665918604, "metadata": {"match_method": "map", "num_predictions": 31, "num_ground_truth": 31, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 27.6266}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 196, "image": "AF6880-9_2025_NCPT-169_JPG_jpg.rf.ea0bce7069f12d5c1ba29710a0998228.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [58, 191, 148, 229], \"label\": \"potato\"},\n {\"box_2d\": [14, 239, 80, 267], \"label\": \"potato\"},\n {\"box_2d\": [78, 237, 150, 268], \"label\": \"potato\"},\n {\"box_2d\": [147, 232, 223, 267], \"label\": \"potato\"},\n {\"box_2d\": [401, 234, 462, 261], \"label\": \"potato\"},\n {\"box_2d\": [668, 231, 749, 263], \"label\": \"potato\"},\n {\"box_2d\": [30, 286, 91, 309], \"label\": \"potato\"},\n {\"box_2d\": [251, 274, 349, 312], \"label\": \"potato\"},\n {\"box_2d\": [427, 276, 518, 310], \"label\": \"potato\"},\n {\"box_2d\": [525, 275, 616, 312], \"label\": \"potato\"},\n {\"box_2d\": [642, 273, 728, 308], \"label\": \"potato\"},\n {\"box_2d\": [727, 275, 804, 305], \"label\": \"potato\"},\n {\"box_2d\": [58, 319, 157, 357], \"label\": \"potato\"},\n {\"box_2d\": [322, 321, 427, 362], \"label\": \"potato\"},\n {\"box_2d\": [454, 320, 535, 350], \"label\": \"potato\"},\n {\"box_2d\": [590, 316, 671, 352], \"label\": \"potato\"},\n {\"box_2d\": [919, 313, 1000, 346], \"label\": \"potato\"},\n {\"box_2d\": [9, 371, 88, 403], \"label\": \"potato\"},\n {\"box_2d\": [92, 368, 164, 401], \"label\": \"potato\"},\n {\"box_2d\": [162, 370, 236, 400], \"label\": \"potato\"},\n {\"box_2d\": [225, 361, 278, 384], \"label\": \"potato\"},\n {\"box_2d\": [275, 357, 389, 405], \"label\": \"potato\"},\n {\"box_2d\": [388, 365, 474, 398], \"label\": \"potato\"},\n {\"box_2d\": [472, 360, 577, 400], \"label\": \"potato\"},\n {\"box_2d\": [659, 364, 730, 394], \"label\": \"potato\"},\n {\"box_2d\": [726, 356, 827, 399], \"label\": \"potato\"},\n {\"box_2d\": [825, 353, 930, 394], \"label\": \"potato\"},\n {\"box_2d\": [924, 359, 1000, 397], \"label\": \"potato\"},\n {\"box_2d\": [72, 412, 146, 444], \"label\": \"potato\"},\n {\"box_2d\": [143, 408, 250, 449], \"label\": \"potato\"},\n {\"box_2d\": [248, 410, 344, 446], \"label\": \"potato\"},\n {\"box_2d\": [341, 412, 397, 437], \"label\": \"potato\"},\n {\"box_2d\": [399, 400, 498, 441], \"label\": \"potato\"},\n {\"box_2d\": [504, 401, 613, 439], \"label\": \"potato\"},\n {\"box_2d\": [654, 402, 748, 441], \"label\": \"potato\"},\n {\"box_2d\": [861, 397, 943, 435], \"label\": \"potato\"},\n {\"box_2d\": [937, 404, 999, 435], \"label\": \"potato\"},\n {\"box_2d\": [3, 454, 111, 498], \"label\": \"potato\"},\n {\"box_2d\": [110, 453, 206, 491], \"label\": \"potato\"},\n {\"box_2d\": [204, 452, 293, 491], \"label\": \"potato\"},\n {\"box_2d\": [289, 446, 364, 480], \"label\": \"potato\"},\n {\"box_2d\": [361, 448, 464, 490], \"label\": \"potato\"},\n {\"box_2d\": [514, 450, 590, 484], \"label\": \"potato\"},\n {\"box_2d\": [606, 446, 695, 485], \"label\": \"potato\"},\n {\"box_2d\": [51, 501, 138, 537], \"label\": \"potato\"},\n {\"box_2d\": [135, 501, 214, 533], \"label\": \"potato\"},\n {\"box_2d\": [212, 502, 281, 530], \"label\": \"potato\"},\n {\"box_2d\": [279, 499, 378, 538], \"label\": \"potato\"},\n {\"box_2d\": [485, 492, 599, 541], \"label\": \"potato\"},\n {\"box_2d\": [764, 488, 859, 529], \"label\": \"potato\"},\n {\"box_2d\": [856, 492, 932, 522], \"label\": \"potato\"},\n {\"box_2d\": [928, 489, 1000, 525], \"label\": \"potato\"},\n {\"box_2d\": [227, 543, 316, 574], \"label\": \"potato\"},\n {\"box_2d\": [383, 537, 484, 581], \"label\": \"potato\"},\n {\"box_2d\": [77, 585, 169, 622], \"label\": \"potato\"},\n {\"box_2d\": [237, 580, 353, 621], \"label\": \"potato\"},\n {\"box_2d\": [561, 585, 634, 613], \"label\": \"potato\"},\n {\"box_2d\": [635, 582, 728, 613], \"label\": \"potato\"},\n {\"box_2d\": [5, 633, 95, 666], \"label\": \"potato\"},\n {\"box_2d\": [92, 633, 177, 671], \"label\": \"potato\"},\n {\"box_2d\": [172, 634, 236, 661], \"label\": \"potato\"},\n {\"box_2d\": [192, 670, 294, 708], \"label\": \"potato\"},\n {\"box_2d\": [421, 669, 515, 704], \"label\": \"potato\"},\n {\"box_2d\": [568, 669, 633, 696], \"label\": \"potato\"},\n {\"box_2d\": [820, 664, 916, 699], \"label\": \"potato\"},\n {\"box_2d\": [578, 751, 682, 792], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 4653, "elapsed_seconds": 44.76808075001463, "metadata": {"match_method": "map", "num_predictions": 66, "num_ground_truth": 67, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9801980257034302, "attempts": 1, "retries": 0, "total_seconds": 45.2316}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 197, "image": "frame_0086_jpg.rf.5ae0e80356e2c5bb993a052e5023c7f1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [28, 340, 68, 363], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [30, 395, 70, 419], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [32, 452, 72, 476], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [39, 506, 78, 531], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [111, 328, 152, 353], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [114, 383, 156, 408], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [117, 439, 161, 466], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [123, 498, 168, 525], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [654, 299, 703, 326], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [657, 360, 709, 387], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [668, 423, 720, 452], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [681, 488, 735, 516], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [762, 296, 817, 321], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [769, 356, 825, 383], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [780, 420, 837, 448], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [794, 485, 851, 513], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [878, 293, 930, 319], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [884, 354, 938, 381], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [898, 417, 949, 444], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [911, 482, 962, 509], \"label\": \"soda bottle cap\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 1855, "elapsed_seconds": 19.76363654108718, "metadata": {"match_method": "map", "num_predictions": 20, "num_ground_truth": 20, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 20.1364}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 198, "image": "image_147_png_jpg.rf.fd3e0f5032b1ae386c027b1058ac751a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [121, 673, 402, 889], \"label\": \"tire size text\"},\n {\"box_2d\": [414, 77, 780, 210], \"label\": \"tire size text\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 484, "elapsed_seconds": 10.525417583063245, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 10.7973}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 199, "image": "fabric-defect_1080_jpg.rf.77a4ab03e25cfeeaaa1f6bbdcb3e7742.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [567, 489, 667, 727], \"label\": \"fabric cut\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 235, "elapsed_seconds": 4.220320624997839, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 4.2276}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 200, "image": "oil-tank-detection_oiltank_137_jpg.rf.be33343bf10652832014b855d080a80c.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [85, 463, 223, 586], \"label\": \"oil tank\"},\n {\"box_2d\": [238, 456, 377, 580], \"label\": \"oil tank\"},\n {\"box_2d\": [392, 449, 537, 576], \"label\": \"oil tank\"},\n {\"box_2d\": [550, 449, 682, 560], \"label\": \"oil tank\"},\n {\"box_2d\": [95, 598, 232, 720], \"label\": \"oil tank\"},\n {\"box_2d\": [244, 594, 386, 718], \"label\": \"oil tank\"},\n {\"box_2d\": [400, 588, 545, 716], \"label\": \"oil tank\"},\n {\"box_2d\": [555, 594, 687, 703], \"label\": \"oil tank\"},\n {\"box_2d\": [107, 731, 225, 836], \"label\": \"oil tank\"},\n {\"box_2d\": [233, 731, 357, 836], \"label\": \"oil tank\"},\n {\"box_2d\": [366, 728, 491, 836], \"label\": \"oil tank\"},\n {\"box_2d\": [118, 847, 194, 916], \"label\": \"oil tank\"},\n {\"box_2d\": [194, 847, 272, 918], \"label\": \"oil tank\"},\n {\"box_2d\": [276, 847, 355, 917], \"label\": \"oil tank\"},\n {\"box_2d\": [359, 846, 440, 917], \"label\": \"oil tank\"},\n {\"box_2d\": [444, 847, 526, 916], \"label\": \"oil tank\"},\n {\"box_2d\": [587, 843, 669, 914], \"label\": \"oil tank\"}\n]\n```", "correct": true, "input_tokens": 1217, "output_tokens": 1689, "elapsed_seconds": 16.34974562493153, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 17, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 16.4135}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 201, "image": "basketball-player-detection_boston-celtics-new-york-knicks-game-1-q1-05-13-05-09-0000_png.rf.31fd4573143b8c82031c8804c4754e40.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [223, 8, 398, 68], \"label\": \"referee\"},\n {\"box_2d\": [292, 158, 455, 205], \"label\": \"player\"},\n {\"box_2d\": [292, 158, 455, 205], \"label\": \"player in possession\"},\n {\"box_2d\": [324, 198, 350, 213], \"label\": \"basketball\"},\n {\"box_2d\": [359, 131, 610, 183], \"label\": \"player\"},\n {\"box_2d\": [408, 141, 440, 152], \"label\": \"jersey number\"},\n {\"box_2d\": [400, 224, 650, 278], \"label\": \"player\"},\n {\"box_2d\": [462, 241, 487, 251], \"label\": \"jersey number\"},\n {\"box_2d\": [306, 294, 490, 355], \"label\": \"player\"},\n {\"box_2d\": [332, 319, 353, 335], \"label\": \"jersey number\"},\n {\"box_2d\": [481, 483, 687, 529], \"label\": \"player\"},\n {\"box_2d\": [578, 467, 804, 531], \"label\": \"player\"},\n {\"box_2d\": [637, 472, 666, 483], \"label\": \"jersey number\"},\n {\"box_2d\": [676, 631, 907, 680], \"label\": \"referee\"},\n {\"box_2d\": [727, 650, 748, 664], \"label\": \"jersey number\"},\n {\"box_2d\": [197, 539, 378, 591], \"label\": \"player\"},\n {\"box_2d\": [234, 560, 257, 569], \"label\": \"jersey number\"},\n {\"box_2d\": [142, 531, 311, 569], \"label\": \"player\"},\n {\"box_2d\": [249, 657, 455, 695], \"label\": \"player\"},\n {\"box_2d\": [296, 670, 318, 679], \"label\": \"jersey number\"},\n {\"box_2d\": [177, 667, 357, 709], \"label\": \"player\"},\n {\"box_2d\": [197, 744, 376, 787], \"label\": \"referee\"},\n {\"box_2d\": [193, 712, 253, 746], \"label\": \"basket rim\"}\n]\n```", "correct": false, "input_tokens": 1250, "output_tokens": 2546, "elapsed_seconds": 24.784086459083483, "metadata": {"match_method": "map", "num_predictions": 23, "num_ground_truth": 23, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.769519031047821, "attempts": 1, "retries": 0, "total_seconds": 24.8807}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 202, "image": "z4517190790071_c6f2ede212488ea95f254bbe631608fc_jpg.rf.f7f6570fcaaac50f965457b35ee9278d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [158, 349, 263, 506], \"label\": \"10 poker chip\"},\n {\"box_2d\": [228, 586, 341, 753], \"label\": \"50 poker chip\"},\n {\"box_2d\": [282, 240, 396, 405], \"label\": \"20 poker chip\"},\n {\"box_2d\": [292, 439, 409, 606], \"label\": \"20 poker chip\"},\n {\"box_2d\": [362, 102, 485, 274], \"label\": \"100 poker chip\"},\n {\"box_2d\": [457, 187, 586, 365], \"label\": \"10 poker chip\"},\n {\"box_2d\": [421, 357, 545, 530], \"label\": \"20 poker chip\"},\n {\"box_2d\": [425, 605, 553, 787], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [344, 769, 466, 947], \"label\": \"5000 poker chip\"},\n {\"box_2d\": [549, 25, 687, 209], \"label\": \"50 poker chip\"},\n {\"box_2d\": [574, 248, 715, 433], \"label\": \"20 poker chip\"},\n {\"box_2d\": [526, 456, 663, 639], \"label\": \"20 poker chip\"},\n {\"box_2d\": [549, 697, 690, 888], \"label\": \"500 poker chip\"},\n {\"box_2d\": [705, 395, 863, 593], \"label\": \"50 poker chip\"},\n {\"box_2d\": [692, 601, 848, 800], \"label\": \"50 poker chip\"}\n]\n```", "correct": true, "input_tokens": 1246, "output_tokens": 1275, "elapsed_seconds": 29.845247625024058, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 30.0437}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 203, "image": "0000272_05500_d_0000012_jpg.rf.4ba2cfdc69b70f306855d444db49f509.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [871, 453, 1000, 518], \"label\": \"car\"},\n {\"box_2d\": [593, 475, 740, 526], \"label\": \"car\"},\n {\"box_2d\": [614, 581, 732, 645], \"label\": \"car\"},\n {\"box_2d\": [424, 481, 518, 520], \"label\": \"car\"},\n {\"box_2d\": [283, 487, 362, 521], \"label\": \"car\"},\n {\"box_2d\": [231, 528, 283, 555], \"label\": \"car\"},\n {\"box_2d\": [185, 482, 250, 506], \"label\": \"van\"},\n {\"box_2d\": [172, 585, 219, 613], \"label\": \"car\"},\n {\"box_2d\": [75, 561, 108, 582], \"label\": \"car\"},\n {\"box_2d\": [34, 558, 72, 577], \"label\": \"car\"},\n {\"box_2d\": [26, 519, 56, 536], \"label\": \"car\"},\n {\"box_2d\": [5, 555, 31, 570], \"label\": \"car\"},\n {\"box_2d\": [110, 424, 159, 442], \"label\": \"van\"},\n {\"box_2d\": [71, 425, 118, 446], \"label\": \"van\"},\n {\"box_2d\": [32, 431, 90, 452], \"label\": \"truck\"},\n {\"box_2d\": [260, 566, 320, 589], \"label\": \"awning tricycle\"},\n {\"box_2d\": [330, 383, 391, 403], \"label\": \"awning tricycle\"},\n {\"box_2d\": [297, 385, 344, 404], \"label\": \"tricycle\"},\n {\"box_2d\": [209, 400, 260, 422], \"label\": \"awning tricycle\"},\n {\"box_2d\": [749, 27, 833, 81], \"label\": \"car\"},\n {\"box_2d\": [772, 351, 847, 369], \"label\": \"person\"},\n {\"box_2d\": [712, 402, 777, 420], \"label\": \"person\"},\n {\"box_2d\": [741, 402, 798, 419], \"label\": \"bike\"},\n {\"box_2d\": [420, 413, 473, 425], \"label\": \"person\"},\n {\"box_2d\": [490, 671, 549, 689], \"label\": \"person\"},\n {\"box_2d\": [335, 608, 376, 622], \"label\": \"person\"},\n {\"box_2d\": [348, 608, 384, 622], \"label\": \"motorcycle\"},\n {\"box_2d\": [426, 846, 461, 870], \"label\": \"motorcycle\"},\n {\"box_2d\": [134, 448, 165, 455], \"label\": \"person\"},\n {\"box_2d\": [203, 459, 240, 470], \"label\": \"person\"}\n]\n```", "correct": false, "input_tokens": 1251, "output_tokens": 2577, "elapsed_seconds": 27.312626959057525, "metadata": {"match_method": "map", "num_predictions": 30, "num_ground_truth": 48, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.4106660485267639, "attempts": 1, "retries": 0, "total_seconds": 27.3595}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 204, "image": "IMG_20251126_160326_jpg.rf.31a216199c4280d746f5865a68a63ce2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 476, 195, 554], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [0, 630, 180, 711], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [690, 34, 784, 105], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [663, 118, 953, 195], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [680, 242, 771, 314], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [657, 309, 773, 385], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [670, 382, 767, 450], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [665, 463, 762, 532], \"label\": \"white standard price tag\"},\n {\"box_2d\": [643, 591, 925, 667], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [658, 690, 754, 760], \"label\": \"white standard price tag\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 1493, "elapsed_seconds": 30.31710420898162, "metadata": {"match_method": "map", "num_predictions": 10, "num_ground_truth": 10, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 30.6003}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 205, "image": "54_jpg.rf.3f4031b98a1a0622e63a0c84142db646.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [48, 108, 118, 353], \"label\": \"blood sample tube\"},\n {\"box_2d\": [17, 540, 91, 785], \"label\": \"blood sample tube\"},\n {\"box_2d\": [43, 289, 326, 452], \"label\": \"blood sample tube\"},\n {\"box_2d\": [49, 451, 241, 675], \"label\": \"blood sample tube\"},\n {\"box_2d\": [72, 651, 376, 788], \"label\": \"blood sample tube\"},\n {\"box_2d\": [52, 781, 375, 839], \"label\": \"blood sample tube\"},\n {\"box_2d\": [154, 825, 482, 881], \"label\": \"blood sample tube\"},\n {\"box_2d\": [172, 319, 419, 513], \"label\": \"blood sample tube\"},\n {\"box_2d\": [189, 558, 458, 738], \"label\": \"blood sample tube\"},\n {\"box_2d\": [232, 643, 502, 822], \"label\": \"blood sample tube\"},\n {\"box_2d\": [311, 222, 631, 280], \"label\": \"blood sample tube\"},\n {\"box_2d\": [400, 109, 697, 244], \"label\": \"blood sample tube\"},\n {\"box_2d\": [381, 304, 684, 429], \"label\": \"blood sample tube\"},\n {\"box_2d\": [298, 371, 600, 496], \"label\": \"blood sample tube\"},\n {\"box_2d\": [412, 372, 709, 515], \"label\": \"blood sample tube\"},\n {\"box_2d\": [336, 474, 613, 639], \"label\": \"blood sample tube\"},\n {\"box_2d\": [427, 616, 608, 849], \"label\": \"blood sample tube\"},\n {\"box_2d\": [511, 651, 694, 887], \"label\": \"blood sample tube\"},\n {\"box_2d\": [542, 554, 725, 787], \"label\": \"blood sample tube\"},\n {\"box_2d\": [687, 117, 749, 361], \"label\": \"blood sample tube\"},\n {\"box_2d\": [677, 415, 742, 661], \"label\": \"blood sample tube\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 2368, "elapsed_seconds": 19.498369666049257, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 21, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 19.5189}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 206, "image": "car-part-detection_Car-damages-100_png_jpg.rf.662e4c271efc89eea96c10e14886a134.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [388, 120, 428, 162], \"label\": \"headlight\"},\n {\"box_2d\": [416, 103, 576, 177], \"label\": \"front bumper\"},\n {\"box_2d\": [322, 138, 391, 295], \"label\": \"hood\"},\n {\"box_2d\": [313, 320, 365, 345], \"label\": \"mirror\"},\n {\"box_2d\": [228, 341, 362, 534], \"label\": \"front window\"},\n {\"box_2d\": [228, 548, 353, 748], \"label\": \"back window\"},\n {\"box_2d\": [224, 298, 581, 542], \"label\": \"front door\"},\n {\"box_2d\": [224, 522, 591, 767], \"label\": \"back door\"},\n {\"box_2d\": [367, 878, 435, 955], \"label\": \"tail light\"},\n {\"box_2d\": [424, 845, 609, 962], \"label\": \"back bumper\"}\n]\n```", "correct": false, "input_tokens": 1273, "output_tokens": 1096, "elapsed_seconds": 12.245959124993533, "metadata": {"match_method": "map", "num_predictions": 10, "num_ground_truth": 13, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7499998807907104, "attempts": 1, "retries": 0, "total_seconds": 12.2575}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 207, "image": "11_jpeg_jpg.rf.39329fe23320cf7bc33af6b9a57582d1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [77, 259, 181, 340], \"label\": \"potato\"},\n {\"box_2d\": [88, 645, 183, 738], \"label\": \"potato\"},\n {\"box_2d\": [298, 35, 421, 134], \"label\": \"potato\"},\n {\"box_2d\": [297, 346, 391, 434], \"label\": \"potato\"},\n {\"box_2d\": [323, 981, 405, 1000], \"label\": \"potato\"},\n {\"box_2d\": [499, 201, 658, 316], \"label\": \"potato\"},\n {\"box_2d\": [487, 405, 593, 499], \"label\": \"potato\"},\n {\"box_2d\": [503, 619, 594, 701], \"label\": \"potato\"},\n {\"box_2d\": [502, 790, 601, 879], \"label\": \"potato\"},\n {\"box_2d\": [715, 0, 807, 33], \"label\": \"potato\"},\n {\"box_2d\": [698, 323, 829, 434], \"label\": \"potato\"},\n {\"box_2d\": [654, 511, 816, 622], \"label\": \"potato\"},\n {\"box_2d\": [710, 703, 810, 783], \"label\": \"potato\"},\n {\"box_2d\": [703, 813, 809, 882], \"label\": \"potato\"},\n {\"box_2d\": [914, 315, 1000, 422], \"label\": \"potato\"},\n {\"box_2d\": [898, 744, 1000, 838], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1240, "output_tokens": 2331, "elapsed_seconds": 21.801303874934092, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 21.8302}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 208, "image": "oil-tank-detection_oiltank_3_jpg.rf.be0eb144cee15c2f85755ead464dc286.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [102, 71, 234, 176], \"label\": \"oil tank\"},\n {\"box_2d\": [97, 228, 229, 332], \"label\": \"oil tank\"},\n {\"box_2d\": [281, 71, 416, 177], \"label\": \"oil tank\"},\n {\"box_2d\": [275, 229, 410, 334], \"label\": \"oil tank\"},\n {\"box_2d\": [89, 456, 220, 562], \"label\": \"oil tank\"},\n {\"box_2d\": [82, 611, 214, 717], \"label\": \"oil tank\"},\n {\"box_2d\": [268, 461, 402, 567], \"label\": \"oil tank\"},\n {\"box_2d\": [262, 618, 396, 723], \"label\": \"oil tank\"},\n {\"box_2d\": [539, 132, 629, 200], \"label\": \"oil tank\"},\n {\"box_2d\": [534, 225, 625, 293], \"label\": \"oil tank\"}\n]\n```", "correct": true, "input_tokens": 1217, "output_tokens": 1195, "elapsed_seconds": 11.473299209028482, "metadata": {"match_method": "map", "num_predictions": 10, "num_ground_truth": 10, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 11.5346}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 209, "image": "tile_558_jpg.rf.98aa48e6c54062f1e67b01de665e6887.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [345, 247, 378, 324], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [311, 568, 335, 604], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [75, 885, 98, 924], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [603, 838, 621, 892], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [623, 340, 665, 421], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [869, 155, 902, 226], \"label\": \"ship in SAR satellite image\"}\n]\n```", "correct": true, "input_tokens": 1229, "output_tokens": 1125, "elapsed_seconds": 11.733906458015554, "metadata": {"match_method": "map", "num_predictions": 6, "num_ground_truth": 6, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 11.7714}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 210, "image": "20230224_110122_jpg.rf.94c8b9d6caaec8593c315337e30857d7.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [590, 196, 650, 285], \"label\": \"crack\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 245, "elapsed_seconds": 4.611966750002466, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 4.6256}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 211, "image": "IMG_20220316_144550_jpg.rf.92c6d74a9ccc9c6c90918613d40eb144.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [551, 169, 1000, 512], \"label\": \"five of hearts\"},\n {\"box_2d\": [246, 289, 653, 522], \"label\": \"six of hearts\"},\n {\"box_2d\": [443, 405, 892, 668], \"label\": \"seven of hearts\"},\n {\"box_2d\": [283, 514, 670, 685], \"label\": \"eight of hearts\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 734, "elapsed_seconds": 8.197097915923223, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 8.2207}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 212, "image": "wood-log-detection_006_png_jpg.rf.45786538ddac406dd0014f409b1d4caa.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [94, 203, 139, 261], \"label\": \"log cross-section\"},\n {\"box_2d\": [184, 239, 212, 273], \"label\": \"log cross-section\"},\n {\"box_2d\": [206, 322, 231, 352], \"label\": \"log cross-section\"},\n {\"box_2d\": [88, 292, 136, 359], \"label\": \"log cross-section\"},\n {\"box_2d\": [122, 389, 156, 434], \"label\": \"log cross-section\"},\n {\"box_2d\": [192, 447, 222, 481], \"label\": \"log cross-section\"},\n {\"box_2d\": [56, 452, 120, 533], \"label\": \"log cross-section\"},\n {\"box_2d\": [120, 477, 169, 550], \"label\": \"log cross-section\"},\n {\"box_2d\": [56, 566, 105, 630], \"label\": \"log cross-section\"},\n {\"box_2d\": [81, 623, 123, 678], \"label\": \"log cross-section\"},\n {\"box_2d\": [125, 558, 156, 594], \"label\": \"log cross-section\"},\n {\"box_2d\": [119, 595, 155, 644], \"label\": \"log cross-section\"},\n {\"box_2d\": [148, 570, 184, 619], \"label\": \"log cross-section\"},\n {\"box_2d\": [108, 664, 144, 712], \"label\": \"log cross-section\"},\n {\"box_2d\": [162, 631, 200, 686], \"label\": \"log cross-section\"},\n {\"box_2d\": [161, 723, 203, 778], \"label\": \"log cross-section\"}\n]\n```", "correct": true, "input_tokens": 1228, "output_tokens": 1847, "elapsed_seconds": 17.65848045796156, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 17.6755}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 213, "image": "Container_864_jpg.rf.9627e6adc1ff8e75c7d8ca9f8cc06311.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [112, 541, 389, 564], \"label\": \"shipping container number\"},\n {\"box_2d\": [95, 602, 195, 618], \"label\": \"container ISO type code\"}\n]\n```", "correct": true, "input_tokens": 1232, "output_tokens": 1093, "elapsed_seconds": 12.891581999952905, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 12.9104}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 214, "image": "uav20221018_ixfZ_3857_14_png.rf.64d1ce8897202b1ab5141c12ebcde0db.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 159, 41, 229], \"label\": \"banana tree\"},\n {\"box_2d\": [45, 246, 81, 281], \"label\": \"banana tree\"},\n {\"box_2d\": [86, 173, 129, 211], \"label\": \"banana tree\"},\n {\"box_2d\": [122, 246, 169, 289], \"label\": \"banana tree\"},\n {\"box_2d\": [173, 171, 214, 219], \"label\": \"banana tree\"},\n {\"box_2d\": [213, 241, 260, 281], \"label\": \"banana tree\"},\n {\"box_2d\": [262, 176, 300, 215], \"label\": \"banana tree\"},\n {\"box_2d\": [307, 242, 344, 278], \"label\": \"banana tree\"},\n {\"box_2d\": [344, 175, 401, 232], \"label\": \"banana tree\"},\n {\"box_2d\": [391, 250, 426, 286], \"label\": \"banana tree\"},\n {\"box_2d\": [430, 180, 483, 222], \"label\": \"banana tree\"},\n {\"box_2d\": [472, 248, 522, 294], \"label\": \"banana tree\"},\n {\"box_2d\": [516, 182, 562, 227], \"label\": \"banana tree\"},\n {\"box_2d\": [563, 249, 610, 290], \"label\": \"banana tree\"},\n {\"box_2d\": [600, 181, 653, 233], \"label\": \"banana tree\"},\n {\"box_2d\": [641, 247, 706, 297], \"label\": \"banana tree\"},\n {\"box_2d\": [685, 169, 745, 238], \"label\": \"banana tree\"},\n {\"box_2d\": [733, 243, 787, 295], \"label\": \"banana tree\"},\n {\"box_2d\": [784, 177, 833, 232], \"label\": \"banana tree\"},\n {\"box_2d\": [826, 253, 875, 297], \"label\": \"banana tree\"},\n {\"box_2d\": [867, 178, 922, 238], \"label\": \"banana tree\"},\n {\"box_2d\": [912, 255, 969, 305], \"label\": \"banana tree\"},\n {\"box_2d\": [954, 185, 1000, 240], \"label\": \"banana tree\"},\n {\"box_2d\": [2, 469, 77, 540], \"label\": \"banana tree\"},\n {\"box_2d\": [54, 555, 104, 597], \"label\": \"banana tree\"},\n {\"box_2d\": [95, 468, 166, 535], \"label\": \"banana tree\"},\n {\"box_2d\": [139, 544, 198, 603], \"label\": \"banana tree\"},\n {\"box_2d\": [169, 474, 250, 543], \"label\": \"banana tree\"},\n {\"box_2d\": [231, 558, 273, 594], \"label\": \"banana tree\"},\n {\"box_2d\": [273, 488, 325, 534], \"label\": \"banana tree\"},\n {\"box_2d\": [312, 556, 366, 596], \"label\": \"banana tree\"},\n {\"box_2d\": [352, 481, 429, 544], \"label\": \"banana tree\"},\n {\"box_2d\": [400, 552, 444, 596], \"label\": \"banana tree\"},\n {\"box_2d\": [436, 484, 498, 545], \"label\": \"banana tree\"},\n {\"box_2d\": [484, 565, 535, 604], \"label\": \"banana tree\"},\n {\"box_2d\": [523, 476, 588, 540], \"label\": \"banana tree\"},\n {\"box_2d\": [578, 562, 623, 603], \"label\": \"banana tree\"},\n {\"box_2d\": [614, 485, 681, 548], \"label\": \"banana tree\"},\n {\"box_2d\": [658, 550, 709, 606], \"label\": \"banana tree\"},\n {\"box_2d\": [688, 480, 773, 567], \"label\": \"banana tree\"},\n {\"box_2d\": [747, 554, 795, 609], \"label\": \"banana tree\"},\n {\"box_2d\": [793, 481, 860, 545], \"label\": \"banana tree\"},\n {\"box_2d\": [835, 565, 874, 605], \"label\": \"banana tree\"},\n {\"box_2d\": [869, 489, 932, 548], \"label\": \"banana tree\"},\n {\"box_2d\": [919, 571, 965, 611], \"label\": \"banana tree\"},\n {\"box_2d\": [961, 491, 1000, 551], \"label\": \"banana tree\"},\n {\"box_2d\": [765, 855, 822, 916], \"label\": \"banana tree\"},\n {\"box_2d\": [810, 780, 875, 841], \"label\": \"banana tree\"},\n {\"box_2d\": [859, 863, 899, 904], \"label\": \"banana tree\"},\n {\"box_2d\": [900, 792, 965, 850], \"label\": \"banana tree\"},\n {\"box_2d\": [938, 865, 996, 916], \"label\": \"banana tree\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 3081, "elapsed_seconds": 26.263427458005026, "metadata": {"match_method": "map", "num_predictions": 51, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9004018306732178, "attempts": 1, "retries": 0, "total_seconds": 26.3077}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 215, "image": "1704192313045_jpg.rf.f68f24072cd4a5061cddf9521b0b617a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [264, 603, 336, 686], \"label\": \"chickpea grain\"},\n {\"box_2d\": [431, 294, 514, 366], \"label\": \"chickpea grain\"},\n {\"box_2d\": [502, 434, 566, 511], \"label\": \"chickpea grain\"},\n {\"box_2d\": [591, 731, 669, 808], \"label\": \"chickpea grain\"},\n {\"box_2d\": [698, 228, 780, 300], \"label\": \"chickpea grain\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 535, "elapsed_seconds": 5.803164416924119, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 5.8165}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 216, "image": "A15311-6Ctrv_2025_NCPT-174_JPG_jpg.rf.fc9ee0cac2da2d059bc0db453be0c788.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [18, 170, 65, 190], \"label\": \"potato\"},\n {\"box_2d\": [108, 156, 202, 193], \"label\": \"potato\"},\n {\"box_2d\": [202, 162, 268, 192], \"label\": \"potato\"},\n {\"box_2d\": [105, 206, 187, 237], \"label\": \"potato\"},\n {\"box_2d\": [429, 201, 497, 230], \"label\": \"potato\"},\n {\"box_2d\": [569, 198, 646, 230], \"label\": \"potato\"},\n {\"box_2d\": [13, 254, 68, 277], \"label\": \"potato\"},\n {\"box_2d\": [73, 246, 156, 281], \"label\": \"potato\"},\n {\"box_2d\": [182, 242, 273, 281], \"label\": \"potato\"},\n {\"box_2d\": [376, 244, 455, 276], \"label\": \"potato\"},\n {\"box_2d\": [497, 243, 585, 279], \"label\": \"potato\"},\n {\"box_2d\": [804, 242, 886, 272], \"label\": \"potato\"},\n {\"box_2d\": [9, 292, 92, 325], \"label\": \"potato\"},\n {\"box_2d\": [95, 292, 149, 319], \"label\": \"potato\"},\n {\"box_2d\": [149, 289, 229, 321], \"label\": \"potato\"},\n {\"box_2d\": [391, 279, 519, 325], \"label\": \"potato\"},\n {\"box_2d\": [516, 294, 549, 312], \"label\": \"potato\"},\n {\"box_2d\": [549, 291, 607, 316], \"label\": \"potato\"},\n {\"box_2d\": [609, 289, 673, 314], \"label\": \"potato\"},\n {\"box_2d\": [690, 285, 763, 315], \"label\": \"potato\"},\n {\"box_2d\": [9, 340, 64, 365], \"label\": \"potato\"},\n {\"box_2d\": [64, 333, 154, 369], \"label\": \"potato\"},\n {\"box_2d\": [182, 319, 303, 367], \"label\": \"potato\"},\n {\"box_2d\": [303, 331, 400, 367], \"label\": \"potato\"},\n {\"box_2d\": [446, 327, 549, 367], \"label\": \"potato\"},\n {\"box_2d\": [563, 328, 655, 368], \"label\": \"potato\"},\n {\"box_2d\": [655, 334, 714, 359], \"label\": \"potato\"},\n {\"box_2d\": [33, 378, 108, 408], \"label\": \"potato\"},\n {\"box_2d\": [108, 375, 189, 410], \"label\": \"potato\"},\n {\"box_2d\": [189, 376, 270, 410], \"label\": \"potato\"},\n {\"box_2d\": [270, 369, 374, 410], \"label\": \"potato\"},\n {\"box_2d\": [484, 364, 598, 409], \"label\": \"potato\"},\n {\"box_2d\": [622, 368, 712, 405], \"label\": \"potato\"},\n {\"box_2d\": [719, 369, 804, 405], \"label\": \"potato\"},\n {\"box_2d\": [809, 374, 881, 401], \"label\": \"potato\"},\n {\"box_2d\": [75, 420, 156, 454], \"label\": \"potato\"},\n {\"box_2d\": [156, 416, 264, 458], \"label\": \"potato\"},\n {\"box_2d\": [281, 414, 407, 456], \"label\": \"potato\"},\n {\"box_2d\": [411, 415, 508, 452], \"label\": \"potato\"},\n {\"box_2d\": [611, 414, 690, 450], \"label\": \"potato\"},\n {\"box_2d\": [121, 459, 242, 500], \"label\": \"potato\"},\n {\"box_2d\": [312, 453, 435, 502], \"label\": \"potato\"},\n {\"box_2d\": [435, 463, 503, 494], \"label\": \"potato\"},\n {\"box_2d\": [598, 455, 734, 497], \"label\": \"potato\"},\n {\"box_2d\": [734, 448, 842, 494], \"label\": \"potato\"},\n {\"box_2d\": [932, 457, 1000, 488], \"label\": \"potato\"},\n {\"box_2d\": [9, 514, 68, 538], \"label\": \"potato\"},\n {\"box_2d\": [367, 501, 499, 544], \"label\": \"potato\"},\n {\"box_2d\": [826, 493, 952, 545], \"label\": \"potato\"},\n {\"box_2d\": [4, 557, 88, 589], \"label\": \"potato\"},\n {\"box_2d\": [400, 550, 499, 583], \"label\": \"potato\"},\n {\"box_2d\": [833, 544, 921, 578], \"label\": \"potato\"},\n {\"box_2d\": [919, 549, 974, 574], \"label\": \"potato\"},\n {\"box_2d\": [4, 600, 84, 631], \"label\": \"potato\"},\n {\"box_2d\": [156, 589, 286, 646], \"label\": \"potato\"},\n {\"box_2d\": [508, 591, 640, 639], \"label\": \"potato\"},\n {\"box_2d\": [705, 594, 774, 624], \"label\": \"potato\"},\n {\"box_2d\": [24, 631, 149, 680], \"label\": \"potato\"},\n {\"box_2d\": [453, 636, 554, 674], \"label\": \"potato\"},\n {\"box_2d\": [930, 722, 996, 749], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 4110, "elapsed_seconds": 38.70194541604724, "metadata": {"match_method": "map", "num_predictions": 60, "num_ground_truth": 60, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 39.167}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 217, "image": "signatures_image_15_png_jpg.rf.6b815d82f5451daedc9c9077d66f9599.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [243, 75, 290, 400], \"label\": \"signature\"},\n {\"box_2d\": [230, 464, 281, 825], \"label\": \"signature\"},\n {\"box_2d\": [354, 73, 495, 434], \"label\": \"signature\"},\n {\"box_2d\": [413, 511, 479, 751], \"label\": \"signature\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 479, "elapsed_seconds": 7.283757874974981, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 7.3647}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 218, "image": "lot222_JPEG_jpg.rf.50df16e1f4326083fe341ec20a62dbe4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [168, 502, 187, 543], \"label\": \"chicory seed\"},\n {\"box_2d\": [170, 550, 196, 590], \"label\": \"chicory seed\"},\n {\"box_2d\": [172, 461, 198, 498], \"label\": \"chicory seed\"},\n {\"box_2d\": [181, 403, 208, 444], \"label\": \"chicory seed\"},\n {\"box_2d\": [183, 544, 210, 581], \"label\": \"chicory seed\"},\n {\"box_2d\": [190, 488, 209, 531], \"label\": \"chicory seed\"},\n {\"box_2d\": [190, 571, 226, 606], \"label\": \"chicory seed\"},\n {\"box_2d\": [190, 605, 221, 643], \"label\": \"chicory seed\"},\n {\"box_2d\": [194, 442, 232, 464], \"label\": \"chicory seed\"},\n {\"box_2d\": [201, 408, 233, 444], \"label\": \"chicory seed\"},\n {\"box_2d\": [201, 469, 240, 490], \"label\": \"chicory seed\"},\n {\"box_2d\": [201, 657, 235, 691], \"label\": \"chicory seed\"},\n {\"box_2d\": [208, 340, 227, 381], \"label\": \"chicory seed\"},\n {\"box_2d\": [217, 534, 252, 569], \"label\": \"chicory seed\"},\n {\"box_2d\": [218, 695, 252, 731], \"label\": \"chicory seed\"},\n {\"box_2d\": [224, 640, 249, 684], \"label\": \"chicory seed\"},\n {\"box_2d\": [225, 591, 263, 616], \"label\": \"chicory seed\"},\n {\"box_2d\": [229, 370, 248, 412], \"label\": \"chicory seed\"},\n {\"box_2d\": [231, 489, 265, 526], \"label\": \"chicory seed\"},\n {\"box_2d\": [239, 307, 268, 347], \"label\": \"chicory 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{\"box_2d\": [646, 338, 681, 377], \"label\": \"chicory seed\"},\n {\"box_2d\": [647, 632, 676, 673], \"label\": \"chicory seed\"},\n {\"box_2d\": [650, 413, 692, 436], \"label\": \"chicory seed\"},\n {\"box_2d\": [652, 386, 695, 409], \"label\": \"chicory seed\"},\n {\"box_2d\": [653, 518, 694, 545], \"label\": \"chicory seed\"},\n {\"box_2d\": [659, 427, 700, 454], \"label\": \"chicory seed\"},\n {\"box_2d\": [660, 717, 692, 759], \"label\": \"chicory seed\"},\n {\"box_2d\": [663, 560, 692, 601], \"label\": \"chicory seed\"},\n {\"box_2d\": [667, 351, 702, 388], \"label\": \"chicory seed\"},\n {\"box_2d\": [669, 453, 703, 491], \"label\": \"chicory seed\"},\n {\"box_2d\": [672, 641, 707, 680], \"label\": \"chicory seed\"},\n {\"box_2d\": [678, 789, 719, 816], \"label\": \"chicory seed\"},\n {\"box_2d\": [680, 700, 704, 743], \"label\": \"chicory seed\"},\n {\"box_2d\": [682, 493, 720, 519], \"label\": \"chicory seed\"},\n {\"box_2d\": [683, 292, 709, 329], \"label\": \"chicory seed\"},\n {\"box_2d\": [683, 610, 721, 642], \"label\": \"chicory seed\"},\n {\"box_2d\": [689, 543, 710, 588], \"label\": \"chicory seed\"},\n {\"box_2d\": [695, 234, 728, 271], \"label\": \"chicory seed\"},\n {\"box_2d\": [697, 681, 716, 721], \"label\": \"chicory seed\"},\n {\"box_2d\": [700, 515, 741, 543], \"label\": \"chicory seed\"},\n {\"box_2d\": [700, 717, 727, 759], \"label\": \"chicory seed\"},\n {\"box_2d\": [702, 273, 741, 297], \"label\": \"chicory seed\"},\n {\"box_2d\": [708, 315, 748, 338], \"label\": \"chicory seed\"},\n {\"box_2d\": [710, 464, 749, 492], \"label\": \"chicory seed\"},\n {\"box_2d\": [712, 562, 752, 598], \"label\": \"chicory seed\"},\n {\"box_2d\": [717, 489, 744, 531], \"label\": \"chicory seed\"},\n {\"box_2d\": [719, 415, 739, 454], \"label\": \"chicory seed\"},\n {\"box_2d\": [720, 581, 754, 624], \"label\": \"chicory seed\"},\n {\"box_2d\": [723, 664, 743, 705], \"label\": \"chicory seed\"},\n {\"box_2d\": [724, 735, 767, 755], \"label\": \"chicory seed\"},\n {\"box_2d\": [725, 289, 765, 314], \"label\": \"chicory seed\"},\n {\"box_2d\": [726, 336, 745, 375], \"label\": \"chicory seed\"},\n {\"box_2d\": [733, 388, 773, 408], \"label\": \"chicory seed\"},\n {\"box_2d\": [737, 692, 757, 736], \"label\": \"chicory seed\"},\n {\"box_2d\": [739, 253, 772, 292], \"label\": \"chicory seed\"},\n {\"box_2d\": [740, 539, 777, 560], \"label\": \"chicory seed\"},\n {\"box_2d\": [742, 488, 761, 528], \"label\": \"chicory seed\"},\n {\"box_2d\": [746, 449, 773, 489], \"label\": \"chicory seed\"},\n {\"box_2d\": [747, 645, 773, 686], \"label\": \"chicory seed\"},\n {\"box_2d\": [751, 595, 784, 627], \"label\": \"chicory seed\"},\n {\"box_2d\": [759, 483, 785, 524], \"label\": \"chicory seed\"},\n {\"box_2d\": [759, 634, 795, 668], \"label\": \"chicory seed\"},\n {\"box_2d\": [763, 288, 782, 330], \"label\": \"chicory seed\"},\n {\"box_2d\": [764, 360, 786, 401], \"label\": \"chicory seed\"},\n {\"box_2d\": [769, 316, 807, 348], \"label\": \"chicory seed\"},\n {\"box_2d\": [769, 458, 811, 484], \"label\": \"chicory seed\"},\n {\"box_2d\": [770, 608, 809, 632], \"label\": \"chicory seed\"},\n {\"box_2d\": [775, 405, 817, 430], \"label\": \"chicory seed\"},\n {\"box_2d\": [775, 441, 817, 462], \"label\": \"chicory seed\"},\n {\"box_2d\": [776, 672, 800, 714], \"label\": \"chicory seed\"},\n {\"box_2d\": [785, 518, 812, 560], \"label\": \"chicory seed\"},\n {\"box_2d\": [791, 488, 829, 516], \"label\": \"chicory seed\"},\n {\"box_2d\": [795, 636, 833, 658], \"label\": \"chicory seed\"},\n {\"box_2d\": [795, 657, 818, 699], \"label\": \"chicory seed\"},\n {\"box_2d\": [796, 361, 814, 400], \"label\": \"chicory seed\"},\n {\"box_2d\": [812, 359, 836, 400], \"label\": \"chicory seed\"},\n {\"box_2d\": [813, 536, 834, 582], \"label\": \"chicory seed\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 18272, "elapsed_seconds": 134.99391204095446, "metadata": {"match_method": "map", "num_predictions": 300, "num_ground_truth": 299, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3366336524486542, "attempts": 1, "retries": 0, "total_seconds": 135.1216}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 219, "image": "66_png.rf.39bf6d177f61078e6d35cc7449f636fc.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [33, 259, 95, 310], \"label\": \"not gate symbol\"},\n {\"box_2d\": [251, 109, 321, 152], \"label\": \"not gate symbol\"},\n {\"box_2d\": [251, 161, 321, 205], \"label\": \"not gate symbol\"},\n {\"box_2d\": [412, 503, 482, 546], \"label\": \"not gate symbol\"},\n {\"box_2d\": [659, 259, 721, 309], \"label\": \"not gate symbol\"},\n {\"box_2d\": [905, 259, 967, 309], \"label\": \"not gate symbol\"},\n {\"box_2d\": [155, 252, 236, 332], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [326, 252, 408, 332], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [174, 567, 255, 646], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [479, 567, 559, 646], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [630, 567, 711, 646], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [782, 567, 862, 646], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [554, 777, 635, 856], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [801, 777, 882, 856], \"label\": \"nand gate symbol\"}\n]\n```", "correct": true, "input_tokens": 1222, "output_tokens": 1430, "elapsed_seconds": 12.602274833945557, "metadata": {"match_method": "map", "num_predictions": 14, "num_ground_truth": 14, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 12.6145}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 220, "image": "car-part-detection_Car-damages-1497_png_jpg.rf.e852cda680508c1a167266952897c9ec.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [255, 117, 406, 205], \"label\": \"back windshield\"},\n {\"box_2d\": [425, 96, 545, 165], \"label\": \"tail light\"},\n {\"box_2d\": [541, 82, 755, 181], \"label\": \"back bumper\"},\n {\"box_2d\": [237, 232, 735, 504], \"label\": \"back door\"},\n {\"box_2d\": [248, 250, 425, 474], \"label\": \"back window\"},\n {\"box_2d\": [240, 487, 728, 783], \"label\": \"front door\"},\n {\"box_2d\": [252, 506, 466, 743], \"label\": \"front window\"},\n {\"box_2d\": [400, 735, 463, 767], \"label\": \"mirror\"},\n {\"box_2d\": [259, 642, 424, 853], \"label\": \"windshield\"},\n {\"box_2d\": [381, 821, 475, 948], \"label\": \"hood\"},\n {\"box_2d\": [450, 898, 542, 976], \"label\": \"headlight\"},\n {\"box_2d\": [528, 926, 742, 992], \"label\": \"front bumper\"}\n]\n```", "correct": true, "input_tokens": 1232, "output_tokens": 1319, "elapsed_seconds": 12.575761707965285, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 14, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8754124641418457, "attempts": 1, "retries": 0, "total_seconds": 12.6023}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 221, "image": "51_jpg.rf.058febb668fb3dcd1ddaf96ac46d336e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [60, 190, 383, 244], \"label\": \"blood sample tube\"},\n {\"box_2d\": [46, 279, 162, 517], \"label\": \"blood sample tube\"},\n {\"box_2d\": [150, 232, 396, 426], \"label\": \"blood sample tube\"},\n {\"box_2d\": [270, 280, 567, 408], \"label\": \"blood sample tube\"},\n {\"box_2d\": [350, 198, 636, 336], \"label\": \"blood sample tube\"},\n {\"box_2d\": [656, 195, 761, 443], \"label\": \"blood sample tube\"},\n {\"box_2d\": [582, 331, 692, 569], \"label\": \"blood sample tube\"},\n {\"box_2d\": [522, 325, 632, 564], \"label\": \"blood sample tube\"},\n {\"box_2d\": [686, 412, 756, 658], \"label\": \"blood sample tube\"},\n {\"box_2d\": [380, 474, 657, 642], \"label\": \"blood sample tube\"},\n {\"box_2d\": [166, 430, 319, 661], \"label\": \"blood sample tube\"},\n {\"box_2d\": [40, 469, 108, 709], \"label\": \"blood sample tube\"},\n {\"box_2d\": [38, 709, 100, 954], \"label\": \"blood sample tube\"},\n {\"box_2d\": [90, 665, 155, 916], \"label\": \"blood sample tube\"},\n {\"box_2d\": [106, 521, 224, 761], \"label\": \"blood sample tube\"},\n {\"box_2d\": [169, 571, 299, 809], \"label\": \"blood sample tube\"},\n {\"box_2d\": [116, 777, 378, 959], \"label\": \"blood sample tube\"},\n {\"box_2d\": [182, 858, 496, 967], \"label\": \"blood sample tube\"},\n {\"box_2d\": [280, 652, 568, 811], \"label\": \"blood sample tube\"},\n {\"box_2d\": [485, 613, 668, 851], \"label\": \"blood sample tube\"},\n {\"box_2d\": [583, 647, 757, 888], \"label\": \"blood sample tube\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 2302, "elapsed_seconds": 20.59800004202407, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 21, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 20.625}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 222, "image": "161056d_JPG_jpg.rf.9a7d680b73d40b7f57e4788c75d35faa.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [261, 395, 353, 530], \"label\": \"cracked insulator\"},\n {\"box_2d\": [467, 393, 562, 520], \"label\": \"cracked insulator\"}\n]\n```", "correct": false, "input_tokens": 1217, "output_tokens": 1656, "elapsed_seconds": 28.245531834079884, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5049505233764648, "attempts": 1, "retries": 0, "total_seconds": 28.8066}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 223, "image": "signatures_image_176_png_jpg.rf.ba5b095c7ba79857b44be19e553b8621.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [528, 184, 581, 261], \"label\": \"signature\"},\n {\"box_2d\": [577, 184, 613, 219], \"label\": \"signature\"},\n {\"box_2d\": [562, 452, 599, 487], \"label\": \"signature\"},\n {\"box_2d\": [551, 656, 589, 717], \"label\": \"signature\"},\n {\"box_2d\": [591, 804, 635, 897], \"label\": \"signature\"}\n]\n```", "correct": true, "input_tokens": 1228, "output_tokens": 754, "elapsed_seconds": 12.191546458052471, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 12.371}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 224, "image": "floorplan-windows-doors_10363_png.rf.022a393bcce41347db46c0ae8f821ac1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [107, 79, 193, 102], \"label\": \"window\"},\n {\"box_2d\": [328, 81, 358, 102], \"label\": \"window\"},\n {\"box_2d\": [173, 246, 226, 308], \"label\": \"door\"},\n {\"box_2d\": [205, 307, 243, 356], \"label\": \"door\"},\n {\"box_2d\": [167, 440, 224, 502], \"label\": \"door\"},\n {\"box_2d\": [245, 385, 294, 442], \"label\": \"door\"},\n {\"box_2d\": [258, 526, 304, 588], \"label\": \"door\"},\n {\"box_2d\": [166, 637, 223, 762], \"label\": \"door\"},\n {\"box_2d\": [128, 691, 166, 712], \"label\": \"window\"},\n {\"box_2d\": [283, 685, 320, 712], \"label\": \"window\"},\n {\"box_2d\": [457, 76, 590, 97], \"label\": \"window\"},\n {\"box_2d\": [485, 691, 533, 712], \"label\": \"window\"},\n {\"box_2d\": [534, 634, 591, 763], \"label\": \"door\"},\n {\"box_2d\": [590, 691, 673, 712], \"label\": \"window\"},\n {\"box_2d\": [599, 309, 642, 359], \"label\": \"door\"},\n {\"box_2d\": [640, 365, 700, 439], \"label\": \"door\"},\n {\"box_2d\": [728, 366, 796, 437], \"label\": \"door\"}\n]\n```", "correct": true, "input_tokens": 1223, "output_tokens": 3487, "elapsed_seconds": 33.76999620790593, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 19, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8717821836471558, "attempts": 1, "retries": 0, "total_seconds": 33.8107}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 225, "image": "paper-parts_194472_30_jpg.rf.b0a602d4dcc7284ce0bac985bedfd7a6.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [93, 176, 213, 882], \"label\": \"paragraph\"},\n {\"box_2d\": [233, 176, 248, 417], \"label\": \"paragraph\"},\n {\"box_2d\": [267, 176, 352, 882], \"label\": \"paragraph\"},\n {\"box_2d\": [381, 420, 528, 698], \"label\": \"figure\"},\n {\"box_2d\": [552, 446, 567, 671], \"label\": \"figure caption\"},\n {\"box_2d\": [586, 235, 613, 682], \"label\": \"paragraph\"},\n {\"box_2d\": [628, 403, 655, 654], \"label\": \"equation\"},\n {\"box_2d\": [669, 453, 685, 604], \"label\": \"equation\"},\n {\"box_2d\": [703, 456, 730, 882], \"label\": \"equation\"},\n {\"box_2d\": [748, 176, 798, 882], \"label\": \"paragraph\"},\n {\"box_2d\": [817, 235, 849, 646], \"label\": \"paragraph\"},\n {\"box_2d\": [868, 390, 883, 667], \"label\": \"equation\"},\n {\"box_2d\": [885, 520, 900, 538], \"label\": \"page number\"}\n]\n```", "correct": false, "input_tokens": 1248, "output_tokens": 3991, "elapsed_seconds": 42.395984292030334, "metadata": {"match_method": "map", "num_predictions": 13, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6881187558174133, "attempts": 1, "retries": 0, "total_seconds": 42.4312}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 226, "image": "IMG_6641_jpeg_jpg.rf.d4a1ba083ff18ae1c9807cc69a86b03e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [570, 5, 599, 198], \"label\": \"blue poker chip\"},\n {\"box_2d\": [592, 4, 616, 197], \"label\": \"blue poker chip\"},\n {\"box_2d\": [610, 4, 634, 196], \"label\": \"blue poker chip\"},\n {\"box_2d\": [627, 3, 653, 195], \"label\": \"blue poker chip\"},\n {\"box_2d\": [645, 2, 671, 196], \"label\": \"blue poker chip\"},\n {\"box_2d\": [661, 2, 689, 196], \"label\": \"blue poker chip\"},\n {\"box_2d\": [675, 2, 706, 196], \"label\": \"blue poker chip\"},\n {\"box_2d\": [513, 199, 533, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [531, 198, 549, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [546, 199, 567, 379], \"label\": \"green poker chip\"},\n {\"box_2d\": [563, 198, 585, 379], \"label\": \"green poker chip\"},\n {\"box_2d\": [579, 197, 601, 379], \"label\": \"green poker chip\"},\n {\"box_2d\": [596, 196, 619, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [612, 196, 637, 379], \"label\": \"green poker chip\"},\n {\"box_2d\": [628, 196, 655, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [645, 196, 672, 379], \"label\": \"green poker chip\"},\n {\"box_2d\": [662, 196, 691, 379], \"label\": \"green poker chip\"},\n {\"box_2d\": [677, 195, 709, 379], \"label\": \"green poker chip\"},\n {\"box_2d\": [428, 384, 451, 562], \"label\": \"red poker chip\"},\n {\"box_2d\": [446, 384, 468, 562], \"label\": \"red poker chip\"},\n {\"box_2d\": [463, 385, 483, 563], \"label\": \"red poker chip\"},\n {\"box_2d\": [479, 385, 499, 563], \"label\": \"red poker chip\"},\n {\"box_2d\": [496, 385, 515, 564], \"label\": \"red poker chip\"},\n {\"box_2d\": [513, 385, 532, 564], \"label\": \"red poker chip\"},\n {\"box_2d\": [530, 385, 550, 564], \"label\": \"red poker chip\"},\n {\"box_2d\": [547, 385, 567, 564], \"label\": \"red poker chip\"},\n {\"box_2d\": [563, 385, 585, 564], \"label\": \"red poker chip\"},\n {\"box_2d\": [579, 385, 601, 565], \"label\": \"red poker chip\"},\n {\"box_2d\": [595, 386, 619, 565], \"label\": \"red poker chip\"},\n {\"box_2d\": [612, 386, 637, 566], \"label\": \"red poker chip\"},\n {\"box_2d\": [628, 386, 654, 566], \"label\": \"red poker chip\"},\n {\"box_2d\": [644, 386, 672, 566], \"label\": \"red poker chip\"},\n {\"box_2d\": [661, 386, 690, 566], \"label\": \"red poker chip\"},\n {\"box_2d\": [677, 386, 708, 567], \"label\": \"red poker chip\"},\n {\"box_2d\": [552, 571, 576, 757], \"label\": \"white poker chip\"},\n {\"box_2d\": [571, 571, 594, 757], \"label\": \"white poker chip\"},\n {\"box_2d\": [588, 571, 611, 759], \"label\": \"white poker chip\"},\n {\"box_2d\": [605, 573, 629, 759], \"label\": \"white poker chip\"},\n {\"box_2d\": [621, 574, 648, 760], \"label\": \"white poker chip\"},\n {\"box_2d\": [639, 574, 666, 760], \"label\": \"white poker chip\"},\n {\"box_2d\": [655, 574, 684, 761], \"label\": \"white poker chip\"},\n {\"box_2d\": [671, 573, 702, 762], \"label\": \"white poker chip\"},\n {\"box_2d\": [556, 756, 616, 959], \"label\": \"orange poker chip\"},\n {\"box_2d\": [588, 758, 635, 960], \"label\": \"orange poker chip\"},\n {\"box_2d\": [608, 758, 652, 959], \"label\": \"orange poker chip\"},\n {\"box_2d\": [624, 759, 671, 960], \"label\": \"orange poker chip\"},\n {\"box_2d\": [641, 760, 689, 962], \"label\": \"orange poker chip\"},\n {\"box_2d\": [659, 761, 707, 963], \"label\": \"orange poker chip\"},\n {\"box_2d\": [675, 762, 725, 964], \"label\": \"orange poker chip\"}\n]\n```", "correct": true, "input_tokens": 1243, "output_tokens": 3470, "elapsed_seconds": 26.20976108405739, "metadata": {"match_method": "map", "num_predictions": 49, "num_ground_truth": 49, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 26.2294}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 227, "image": "69_jpg.rf.832734e487772068d6b9bf469788de8f.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [17, 638, 323, 748], \"label\": \"blood sample tube\"},\n {\"box_2d\": [80, 588, 405, 636], \"label\": \"blood sample tube\"},\n {\"box_2d\": [350, 281, 411, 519], \"label\": \"blood sample tube\"},\n {\"box_2d\": [438, 494, 520, 736], \"label\": \"blood sample tube\"},\n {\"box_2d\": [534, 481, 745, 700], \"label\": \"blood sample tube\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 550, "elapsed_seconds": 12.93563041696325, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 12.9451}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 228, "image": "uav20221018_ixfZ_3857_431_png.rf.d4d8056faccd6284b96584515af21de0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [31, 180, 86, 228], \"label\": \"banana tree\"},\n {\"box_2d\": [0, 237, 43, 288], \"label\": \"banana tree\"},\n {\"box_2d\": [71, 249, 108, 281], \"label\": \"banana tree\"},\n {\"box_2d\": [1, 430, 50, 476], \"label\": \"banana tree\"},\n {\"box_2d\": [70, 424, 121, 479], \"label\": \"banana tree\"},\n {\"box_2d\": [140, 434, 185, 484], \"label\": \"banana tree\"},\n {\"box_2d\": [209, 439, 255, 488], \"label\": \"banana tree\"},\n {\"box_2d\": [33, 491, 83, 533], \"label\": \"banana tree\"},\n {\"box_2d\": [109, 495, 145, 530], \"label\": \"banana tree\"},\n {\"box_2d\": [175, 494, 217, 539], \"label\": \"banana tree\"},\n {\"box_2d\": [242, 491, 289, 533], \"label\": \"banana tree\"},\n {\"box_2d\": [18, 661, 61, 700], \"label\": \"banana tree\"},\n {\"box_2d\": [89, 659, 130, 705], \"label\": \"banana tree\"},\n {\"box_2d\": [161, 668, 203, 702], \"label\": \"banana tree\"},\n {\"box_2d\": [229, 672, 269, 707], \"label\": \"banana tree\"},\n {\"box_2d\": [302, 674, 346, 710], \"label\": \"banana tree\"},\n {\"box_2d\": [373, 673, 412, 707], \"label\": \"banana tree\"},\n {\"box_2d\": [0, 707, 36, 750], \"label\": \"banana tree\"},\n {\"box_2d\": [54, 712, 100, 757], \"label\": \"banana tree\"},\n {\"box_2d\": [121, 716, 168, 763], \"label\": \"banana tree\"},\n {\"box_2d\": [194, 716, 236, 756], \"label\": \"banana tree\"},\n {\"box_2d\": [264, 722, 303, 758], \"label\": \"banana tree\"},\n {\"box_2d\": [332, 724, 376, 764], \"label\": \"banana tree\"},\n {\"box_2d\": [39, 904, 73, 938], \"label\": \"banana tree\"},\n {\"box_2d\": [108, 901, 152, 941], \"label\": \"banana tree\"},\n {\"box_2d\": [179, 913, 215, 952], \"label\": \"banana tree\"},\n {\"box_2d\": [251, 922, 288, 955], \"label\": \"banana tree\"},\n {\"box_2d\": [318, 923, 363, 963], \"label\": \"banana tree\"},\n {\"box_2d\": [388, 933, 431, 968], \"label\": \"banana tree\"},\n {\"box_2d\": [458, 934, 498, 974], \"label\": \"banana tree\"},\n {\"box_2d\": [525, 936, 565, 972], \"label\": \"banana tree\"},\n {\"box_2d\": [0, 949, 32, 991], \"label\": \"banana tree\"},\n {\"box_2d\": [66, 959, 111, 996], \"label\": \"banana tree\"},\n {\"box_2d\": [140, 953, 181, 995], \"label\": \"banana tree\"},\n {\"box_2d\": [206, 958, 258, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [275, 969, 322, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [350, 974, 391, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [419, 981, 458, 1000], \"label\": \"banana tree\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 2720, "elapsed_seconds": 27.082988667069003, "metadata": {"match_method": "map", "num_predictions": 38, "num_ground_truth": 38, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 27.1612}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 229, "image": "f39_jpg.rf.8a677bbf5bbbcde071dc3887db6e2b75.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [376, 432, 601, 589], \"label\": \"wildfire\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 639, "elapsed_seconds": 12.970423292019404, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 13.0655}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 230, "image": "wood-log-detection_003_png_jpg.rf.34aeb3fc6262ec00696c0cc722964b3e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [55, 273, 92, 322], \"label\": \"log cross-section\"},\n {\"box_2d\": [84, 247, 117, 291], \"label\": \"log cross-section\"},\n {\"box_2d\": [108, 214, 139, 255], \"label\": \"log cross-section\"},\n {\"box_2d\": [128, 172, 166, 223], \"label\": \"log cross-section\"},\n {\"box_2d\": [166, 155, 197, 200], \"label\": \"log cross-section\"},\n {\"box_2d\": [186, 158, 222, 209], \"label\": \"log cross-section\"},\n {\"box_2d\": [231, 178, 261, 219], \"label\": \"log cross-section\"},\n {\"box_2d\": [198, 209, 238, 267], \"label\": \"log cross-section\"},\n {\"box_2d\": [167, 203, 202, 250], \"label\": \"log cross-section\"},\n {\"box_2d\": [138, 225, 175, 273], \"label\": \"log cross-section\"},\n {\"box_2d\": [116, 259, 150, 305], \"label\": \"log cross-section\"},\n {\"box_2d\": [88, 292, 123, 336], \"label\": \"log cross-section\"},\n {\"box_2d\": [81, 328, 111, 362], \"label\": \"log cross-section\"},\n {\"box_2d\": [73, 353, 106, 395], \"label\": \"log cross-section\"},\n {\"box_2d\": [102, 331, 138, 381], \"label\": \"log cross-section\"},\n {\"box_2d\": [133, 322, 170, 372], \"label\": \"log cross-section\"},\n {\"box_2d\": [145, 286, 180, 328], \"label\": \"log cross-section\"},\n {\"box_2d\": [161, 252, 195, 294], \"label\": \"log cross-section\"},\n {\"box_2d\": [197, 277, 227, 314], \"label\": \"log cross-section\"},\n {\"box_2d\": [198, 309, 244, 361], \"label\": \"log cross-section\"},\n {\"box_2d\": [173, 339, 203, 378], \"label\": \"log cross-section\"},\n {\"box_2d\": [134, 375, 170, 414], \"label\": \"log cross-section\"},\n {\"box_2d\": [102, 408, 134, 444], \"label\": \"log cross-section\"},\n {\"box_2d\": [50, 416, 81, 458], \"label\": \"log cross-section\"},\n {\"box_2d\": [142, 406, 180, 447], \"label\": \"log cross-section\"},\n {\"box_2d\": [111, 447, 142, 484], \"label\": \"log cross-section\"},\n {\"box_2d\": [138, 453, 170, 489], \"label\": \"log cross-section\"},\n {\"box_2d\": [111, 484, 150, 530], \"label\": \"log cross-section\"},\n {\"box_2d\": [141, 489, 178, 534], \"label\": \"log cross-section\"},\n {\"box_2d\": [106, 531, 141, 575], \"label\": \"log cross-section\"},\n {\"box_2d\": [133, 528, 169, 570], \"label\": \"log cross-section\"},\n {\"box_2d\": [108, 575, 148, 623], \"label\": \"log cross-section\"},\n {\"box_2d\": [81, 606, 125, 658], \"label\": \"log cross-section\"},\n {\"box_2d\": [141, 597, 183, 645], \"label\": \"log cross-section\"},\n {\"box_2d\": [134, 636, 169, 666], \"label\": \"log cross-section\"},\n {\"box_2d\": [123, 672, 161, 720], \"label\": \"log cross-section\"},\n {\"box_2d\": [166, 642, 200, 681], \"label\": \"log cross-section\"},\n {\"box_2d\": [180, 670, 208, 705], \"label\": \"log cross-section\"},\n {\"box_2d\": [197, 656, 227, 694], \"label\": \"log cross-section\"},\n {\"box_2d\": [205, 681, 241, 728], \"label\": \"log cross-section\"},\n {\"box_2d\": [241, 678, 275, 722], \"label\": \"log cross-section\"},\n {\"box_2d\": [259, 636, 297, 681], \"label\": \"log cross-section\"},\n {\"box_2d\": [223, 609, 262, 655], \"label\": \"log cross-section\"},\n {\"box_2d\": [183, 595, 220, 642], \"label\": \"log cross-section\"},\n {\"box_2d\": [175, 564, 209, 598], \"label\": \"log cross-section\"},\n {\"box_2d\": [186, 525, 230, 562], \"label\": \"log cross-section\"},\n {\"box_2d\": [219, 558, 250, 594], \"label\": \"log cross-section\"},\n {\"box_2d\": [248, 539, 288, 586], \"label\": \"log cross-section\"},\n {\"box_2d\": [253, 586, 291, 631], \"label\": \"log cross-section\"},\n {\"box_2d\": [186, 484, 219, 525], \"label\": \"log cross-section\"},\n {\"box_2d\": [177, 430, 206, 469], \"label\": \"log cross-section\"},\n {\"box_2d\": [169, 462, 198, 495], \"label\": \"log cross-section\"},\n {\"box_2d\": [180, 394, 209, 431], \"label\": \"log cross-section\"},\n {\"box_2d\": [198, 362, 234, 408], \"label\": \"log cross-section\"},\n {\"box_2d\": [202, 412, 230, 448], \"label\": \"log cross-section\"},\n {\"box_2d\": [198, 448, 234, 492], \"label\": \"log cross-section\"},\n {\"box_2d\": [220, 398, 252, 436], \"label\": \"log cross-section\"},\n {\"box_2d\": [230, 436, 270, 489], \"label\": \"log cross-section\"},\n {\"box_2d\": [230, 488, 267, 528], \"label\": \"log cross-section\"},\n {\"box_2d\": [234, 353, 272, 405], \"label\": \"log cross-section\"},\n {\"box_2d\": [302, 209, 334, 253], \"label\": \"log cross-section\"},\n {\"box_2d\": [294, 252, 323, 291], \"label\": \"log cross-section\"},\n {\"box_2d\": [292, 295, 325, 338], \"label\": \"log cross-section\"},\n {\"box_2d\": [323, 305, 350, 344], \"label\": \"log cross-section\"},\n {\"box_2d\": [330, 267, 352, 305], \"label\": \"log cross-section\"},\n {\"box_2d\": [308, 344, 341, 383], \"label\": \"log cross-section\"},\n {\"box_2d\": [325, 372, 350, 420], \"label\": \"log cross-section\"},\n {\"box_2d\": [300, 411, 333, 456], \"label\": \"log cross-section\"},\n {\"box_2d\": [305, 462, 336, 498], \"label\": \"log cross-section\"},\n {\"box_2d\": [300, 506, 339, 552], \"label\": \"log cross-section\"},\n {\"box_2d\": [302, 653, 331, 692], \"label\": \"log cross-section\"},\n {\"box_2d\": [308, 595, 339, 634], \"label\": \"log cross-section\"},\n {\"box_2d\": [319, 555, 344, 594], \"label\": \"log cross-section\"},\n {\"box_2d\": [328, 491, 347, 528], \"label\": \"log cross-section\"}\n]\n```", "correct": true, "input_tokens": 1228, "output_tokens": 5002, "elapsed_seconds": 40.39937712496612, "metadata": {"match_method": "map", "num_predictions": 74, "num_ground_truth": 78, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8771741986274719, "attempts": 1, "retries": 0, "total_seconds": 40.419}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 231, "image": "basketball-player-detection_boston-celtics-new-york-knicks-game-1-q1-04-28-04-20-0185_png.rf.5bf3baa6a3ce5adfe29dab142647c8bc.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [197, 622, 267, 664], \"label\": \"basket rim\"},\n {\"box_2d\": [330, 470, 360, 488], \"label\": \"basketball\"},\n {\"box_2d\": [213, 0, 417, 42], \"label\": \"referee\"},\n {\"box_2d\": [256, 697, 468, 740], \"label\": \"referee\"},\n {\"box_2d\": [684, 554, 987, 629], \"label\": \"referee\"},\n {\"box_2d\": [257, 139, 460, 189], \"label\": \"player\"},\n {\"box_2d\": [342, 151, 545, 220], \"label\": \"player\"},\n {\"box_2d\": [378, 276, 601, 333], \"label\": \"player\"},\n {\"box_2d\": [297, 298, 506, 333], \"label\": \"player\"},\n {\"box_2d\": [182, 378, 371, 421], \"label\": \"player\"},\n {\"box_2d\": [248, 456, 459, 505], \"label\": \"player\"},\n {\"box_2d\": [296, 574, 513, 646], \"label\": \"player\"},\n {\"box_2d\": [346, 616, 604, 672], \"label\": \"player\"},\n {\"box_2d\": [513, 412, 870, 463], \"label\": \"player\"},\n {\"box_2d\": [510, 454, 795, 509], \"label\": \"player\"},\n {\"box_2d\": [651, 434, 679, 444], \"label\": \"jersey number\"},\n {\"box_2d\": [788, 590, 809, 603], \"label\": \"jersey number\"},\n {\"box_2d\": [399, 646, 423, 655], \"label\": \"jersey number\"},\n {\"box_2d\": [355, 616, 375, 629], \"label\": \"jersey number\"},\n {\"box_2d\": [306, 468, 328, 476], \"label\": \"jersey number\"},\n {\"box_2d\": [235, 399, 252, 410], \"label\": \"jersey number\"},\n {\"box_2d\": [312, 155, 330, 165], \"label\": \"jersey number\"},\n {\"box_2d\": [403, 184, 421, 192], \"label\": \"jersey number\"}\n]\n```", "correct": false, "input_tokens": 1251, "output_tokens": 2770, "elapsed_seconds": 28.365235540899448, "metadata": {"match_method": "map", "num_predictions": 23, "num_ground_truth": 23, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6277639865875244, "attempts": 1, "retries": 0, "total_seconds": 28.4604}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 232, "image": "construction-safety_ppe_0016_jpg.rf.d53d80274c0b6fdd6cccc30b2f5316b2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [322, 68, 436, 179], \"label\": \"safety helmet\"},\n {\"box_2d\": [287, 185, 376, 260], \"label\": \"safety helmet\"},\n {\"box_2d\": [327, 331, 422, 405], \"label\": \"safety helmet\"},\n {\"box_2d\": [323, 484, 427, 576], \"label\": \"safety helmet\"},\n {\"box_2d\": [306, 580, 399, 675], \"label\": \"safety helmet\"},\n {\"box_2d\": [362, 679, 461, 777], \"label\": \"safety helmet\"},\n {\"box_2d\": [279, 748, 393, 855], \"label\": \"safety helmet\"},\n {\"box_2d\": [480, 259, 852, 440], \"label\": \"safety vest\"},\n {\"box_2d\": [476, 456, 787, 594], \"label\": \"safety vest\"},\n {\"box_2d\": [459, 572, 804, 704], \"label\": \"safety vest\"},\n {\"box_2d\": [483, 687, 863, 799], \"label\": \"safety vest\"},\n {\"box_2d\": [461, 745, 860, 904], \"label\": \"safety vest\"},\n {\"box_2d\": [868, 858, 1000, 975], \"label\": \"safety vest\"},\n {\"box_2d\": [320, 62, 1000, 288], \"label\": \"person\"},\n {\"box_2d\": [289, 135, 999, 297], \"label\": \"person\"},\n {\"box_2d\": [328, 250, 945, 444], \"label\": \"person\"},\n {\"box_2d\": [323, 443, 945, 594], \"label\": \"person\"},\n {\"box_2d\": [306, 569, 886, 720], \"label\": \"person\"},\n {\"box_2d\": [362, 603, 865, 799], \"label\": \"person\"},\n {\"box_2d\": [281, 676, 996, 906], \"label\": \"person\"}\n]\n```", "correct": true, "input_tokens": 1222, "output_tokens": 1896, "elapsed_seconds": 30.43525187508203, "metadata": {"match_method": "map", "num_predictions": 20, "num_ground_truth": 19, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 31.388}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 233, "image": "ind_jpeg_jpg.rf.838960e9a8a04626878832d54c63b122.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [16, 23, 48, 311], \"label\": \"technical drawing table\"},\n {\"box_2d\": [16, 903, 48, 977], \"label\": \"technical drawing table\"},\n {\"box_2d\": [369, 72, 460, 195], \"label\": \"dimension annotation\"},\n {\"box_2d\": [417, 66, 513, 217], \"label\": \"dimension annotation\"},\n {\"box_2d\": [357, 532, 401, 616], \"label\": \"dimension annotation\"},\n {\"box_2d\": [558, 314, 576, 410], \"label\": \"dimension annotation\"},\n {\"box_2d\": [588, 171, 605, 410], \"label\": \"dimension annotation\"},\n {\"box_2d\": [654, 339, 736, 421], \"label\": \"dimension annotation\"},\n {\"box_2d\": [661, 408, 726, 512], \"label\": \"dimension annotation\"},\n {\"box_2d\": [768, 56, 834, 80], \"label\": \"dimension annotation\"},\n {\"box_2d\": [759, 553, 807, 577], \"label\": \"dimension annotation\"},\n {\"box_2d\": [726, 583, 790, 608], \"label\": \"dimension annotation\"},\n {\"box_2d\": [790, 583, 834, 608], \"label\": \"dimension annotation\"},\n {\"box_2d\": [637, 687, 654, 720], \"label\": \"dimension annotation\"},\n {\"box_2d\": [637, 716, 654, 845], \"label\": \"dimension annotation\"},\n {\"box_2d\": [637, 842, 654, 875], \"label\": \"dimension annotation\"},\n {\"box_2d\": [689, 936, 834, 961], \"label\": \"dimension annotation\"},\n {\"box_2d\": [914, 207, 984, 977], \"label\": \"technical drawing table\"}\n]\n```", "correct": false, "input_tokens": 1233, "output_tokens": 2819, "elapsed_seconds": 27.877023792010732, "metadata": {"match_method": "map", "num_predictions": 18, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.1765676587820053, "attempts": 1, "retries": 0, "total_seconds": 27.8869}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 234, "image": "frame_0102_jpg.rf.17d6c3b1d93b1bd2e8d8880687a7f794.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [37, 336, 77, 360], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [36, 392, 74, 417], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [43, 446, 82, 471], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [45, 504, 86, 529], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [119, 329, 159, 353], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [123, 386, 165, 410], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [129, 441, 171, 467], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [130, 500, 173, 526], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [215, 332, 259, 357], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [222, 390, 267, 415], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [230, 449, 274, 475], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [247, 509, 291, 535], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [314, 322, 359, 346], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [321, 381, 367, 408], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [330, 442, 376, 469], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [349, 504, 394, 531], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [415, 307, 461, 334], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [426, 367, 473, 394], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [434, 428, 483, 456], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [451, 490, 501, 518], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [526, 313, 574, 340], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [540, 373, 589, 401], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [555, 436, 605, 465], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [571, 501, 619, 529], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [634, 302, 682, 328], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [650, 362, 699, 390], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [669, 426, 719, 455], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [684, 490, 735, 518], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [744, 297, 793, 324], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [764, 358, 813, 386], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [782, 421, 833, 450], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [800, 486, 849, 515], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [859, 305, 908, 332], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [882, 366, 932, 394], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [896, 430, 945, 459], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [915, 493, 964, 522], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [956, 292, 1000, 319], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [979, 353, 1000, 379], \"label\": \"soda bottle cap\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 3432, "elapsed_seconds": 31.03486862499267, "metadata": {"match_method": "map", "num_predictions": 38, "num_ground_truth": 38, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 31.4255}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 235, "image": "tile_559_jpg.rf.2e36153b3f0a023e43755fc06e0c32dc.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [6, 324, 28, 377], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [215, 450, 239, 535], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [322, 250, 360, 348], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [666, 668, 689, 751], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [741, 351, 759, 431], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [885, 0, 906, 77], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [929, 777, 954, 860], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [958, 551, 981, 600], \"label\": \"ship in SAR satellite image\"}\n]\n```", "correct": true, "input_tokens": 1229, "output_tokens": 862, "elapsed_seconds": 10.100705916061997, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 10.1319}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 236, "image": "frame_0555_jpg.rf.e5603989fbc45aefce0b30f65bdbe361.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 273, 41, 306], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 344, 45, 385], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [26, 431, 81, 463], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 596, 49, 622], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [46, 538, 106, 570], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [63, 350, 123, 392], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [82, 240, 145, 281], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [139, 541, 198, 573], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [164, 337, 232, 373], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [219, 354, 278, 389], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [251, 256, 315, 292], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [237, 442, 305, 478], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [298, 370, 363, 408], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [375, 435, 438, 476], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [406, 357, 466, 394], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [462, 235, 536, 279], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [492, 348, 559, 387], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [465, 549, 527, 585], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [422, 654, 485, 695], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [585, 581, 652, 622], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [611, 232, 690, 281], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [740, 346, 825, 393], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [785, 243, 863, 289], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [798, 450, 884, 491], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [770, 485, 849, 526], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [728, 603, 804, 646], \"label\": \"garlic on conveyor\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 1909, "elapsed_seconds": 16.329231458017603, "metadata": {"match_method": "map", "num_predictions": 26, "num_ground_truth": 23, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8846153616905212, "attempts": 1, "retries": 0, "total_seconds": 16.4269}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 237, "image": "DJI_0236_JPG_jpg.rf.d7ac178bd4662b9ae881e21c92284693.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [722, 557, 899, 626], \"label\": \"excavator\"},\n {\"box_2d\": [458, 381, 492, 439], \"label\": \"dump truck\"},\n {\"box_2d\": [414, 231, 439, 274], \"label\": \"dump truck\"}\n]\n```", "correct": false, "input_tokens": 1209, "output_tokens": 2755, "elapsed_seconds": 44.96085874992423, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 6, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.4999999701976776, "attempts": 1, "retries": 0, "total_seconds": 45.7916}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 238, "image": "9999981_00000_d_0000108_jpg.rf.808757c317fef3db00edefab735a3c05.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [59, 148, 170, 201], \"label\": \"truck\"},\n {\"box_2d\": [118, 20, 202, 61], \"label\": \"van\"},\n {\"box_2d\": [75, 11, 122, 42], \"label\": \"car\"},\n {\"box_2d\": [287, 59, 359, 91], \"label\": \"van\"},\n {\"box_2d\": [368, 84, 427, 118], \"label\": \"car\"},\n {\"box_2d\": [288, 230, 360, 272], \"label\": \"car\"},\n {\"box_2d\": [542, 326, 628, 376], \"label\": \"car\"},\n {\"box_2d\": [926, 452, 1000, 526], \"label\": \"car\"},\n {\"box_2d\": [785, 734, 871, 795], \"label\": \"car\"},\n {\"box_2d\": [811, 761, 900, 820], \"label\": \"car\"},\n {\"box_2d\": [539, 738, 608, 811], \"label\": \"car\"},\n {\"box_2d\": [395, 571, 505, 689], \"label\": \"bus\"},\n {\"box_2d\": [369, 657, 425, 717], \"label\": \"car\"},\n {\"box_2d\": [258, 483, 323, 523], \"label\": \"car\"},\n {\"box_2d\": [209, 496, 273, 542], \"label\": \"car\"},\n {\"box_2d\": [197, 408, 261, 446], \"label\": \"car\"},\n {\"box_2d\": [84, 439, 149, 478], \"label\": \"car\"},\n {\"box_2d\": [1, 405, 57, 440], \"label\": \"car\"},\n {\"box_2d\": [530, 130, 605, 170], \"label\": \"truck\"},\n {\"box_2d\": [906, 196, 982, 239], \"label\": \"tricycle\"},\n {\"box_2d\": [866, 391, 902, 417], \"label\": \"motorcycle\"},\n {\"box_2d\": [889, 342, 914, 360], \"label\": \"person\"}\n]\n```", "correct": false, "input_tokens": 1214, "output_tokens": 2308, "elapsed_seconds": 33.40933629090432, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 46, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.41173577308654785, "attempts": 1, "retries": 0, "total_seconds": 33.4797}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 239, "image": "egg-detection_image381_jpg.rf.26b6182b9e6a29f3cd96c54029e234f8.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [12, 432, 66, 466], \"label\": \"egg\"},\n {\"box_2d\": [29, 471, 91, 501], \"label\": \"egg\"},\n {\"box_2d\": [64, 427, 126, 457], \"label\": \"egg\"},\n {\"box_2d\": [91, 385, 148, 421], \"label\": \"egg\"},\n {\"box_2d\": [164, 371, 221, 408], \"label\": \"egg\"},\n {\"box_2d\": [243, 419, 309, 456], \"label\": \"egg\"},\n {\"box_2d\": [243, 464, 302, 506], \"label\": \"egg\"},\n {\"box_2d\": [309, 427, 377, 459], \"label\": \"egg\"},\n {\"box_2d\": [288, 481, 353, 518], \"label\": \"egg\"},\n {\"box_2d\": [264, 558, 333, 591], \"label\": \"egg\"},\n {\"box_2d\": [533, 315, 598, 349], \"label\": \"egg\"},\n {\"box_2d\": [589, 302, 646, 339], \"label\": \"egg\"},\n {\"box_2d\": [676, 383, 739, 419], \"label\": \"egg\"},\n {\"box_2d\": [711, 417, 769, 457], \"label\": \"egg\"},\n {\"box_2d\": [707, 479, 770, 517], \"label\": \"egg\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 1469, "elapsed_seconds": 27.05869666696526, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 27.1554}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 240, "image": "A16150-1C_2025_NCPT-175_JPG_jpg.rf.2c6e330d745fc218d09f761944d1e142.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [15, 248, 96, 275], \"label\": \"potato\"},\n {\"box_2d\": [96, 247, 161, 274], \"label\": \"potato\"},\n {\"box_2d\": [11, 295, 56, 315], \"label\": \"potato\"},\n {\"box_2d\": [54, 293, 106, 317], \"label\": \"potato\"},\n {\"box_2d\": [104, 287, 163, 315], \"label\": \"potato\"},\n {\"box_2d\": [160, 285, 240, 316], \"label\": \"potato\"},\n {\"box_2d\": [240, 284, 315, 316], \"label\": \"potato\"},\n {\"box_2d\": [412, 279, 515, 318], \"label\": \"potato\"},\n {\"box_2d\": [577, 283, 646, 311], \"label\": \"potato\"},\n {\"box_2d\": [646, 274, 742, 314], \"label\": \"potato\"},\n {\"box_2d\": [748, 284, 816, 309], \"label\": \"potato\"},\n {\"box_2d\": [919, 282, 987, 311], \"label\": \"potato\"},\n {\"box_2d\": [7, 330, 91, 366], \"label\": \"potato\"},\n {\"box_2d\": [90, 329, 171, 362], \"label\": \"potato\"},\n {\"box_2d\": [170, 328, 243, 361], \"label\": \"potato\"},\n {\"box_2d\": [241, 323, 335, 361], \"label\": \"potato\"},\n {\"box_2d\": [333, 323, 423, 359], \"label\": \"potato\"},\n {\"box_2d\": [440, 328, 517, 359], \"label\": \"potato\"},\n {\"box_2d\": [515, 324, 594, 356], \"label\": \"potato\"},\n {\"box_2d\": [698, 326, 777, 356], \"label\": \"potato\"},\n {\"box_2d\": [775, 326, 853, 353], \"label\": \"potato\"},\n {\"box_2d\": [921, 324, 1000, 351], \"label\": \"potato\"},\n {\"box_2d\": [16, 377, 94, 410], \"label\": \"potato\"},\n {\"box_2d\": [108, 374, 190, 405], \"label\": \"potato\"},\n {\"box_2d\": [188, 374, 265, 406], \"label\": \"potato\"},\n {\"box_2d\": [264, 374, 349, 409], \"label\": \"potato\"},\n {\"box_2d\": [335, 364, 386, 389], \"label\": \"potato\"},\n {\"box_2d\": [383, 368, 486, 406], \"label\": \"potato\"},\n {\"box_2d\": [481, 370, 575, 408], \"label\": \"potato\"},\n {\"box_2d\": [687, 368, 761, 399], \"label\": \"potato\"},\n {\"box_2d\": [760, 366, 846, 400], \"label\": \"potato\"},\n {\"box_2d\": [918, 364, 999, 400], \"label\": \"potato\"},\n {\"box_2d\": [6, 415, 91, 453], \"label\": \"potato\"},\n {\"box_2d\": [86, 413, 195, 460], \"label\": \"potato\"},\n {\"box_2d\": [193, 416, 273, 451], \"label\": \"potato\"},\n {\"box_2d\": [349, 416, 435, 449], \"label\": \"potato\"},\n {\"box_2d\": [435, 416, 524, 450], \"label\": \"potato\"},\n {\"box_2d\": [524, 416, 603, 448], \"label\": \"potato\"},\n {\"box_2d\": [602, 411, 687, 446], \"label\": \"potato\"},\n {\"box_2d\": [686, 411, 778, 444], \"label\": \"potato\"},\n {\"box_2d\": [7, 466, 80, 495], \"label\": \"potato\"},\n {\"box_2d\": [79, 466, 139, 494], \"label\": \"potato\"},\n {\"box_2d\": [138, 456, 255, 496], \"label\": \"potato\"},\n {\"box_2d\": [264, 462, 333, 490], \"label\": \"potato\"},\n {\"box_2d\": [336, 459, 411, 489], \"label\": \"potato\"},\n {\"box_2d\": [409, 460, 502, 496], \"label\": \"potato\"},\n {\"box_2d\": [728, 453, 825, 496], \"label\": \"potato\"},\n {\"box_2d\": [916, 456, 994, 488], \"label\": \"potato\"},\n {\"box_2d\": [6, 508, 77, 538], \"label\": \"potato\"},\n {\"box_2d\": [75, 507, 141, 539], \"label\": \"potato\"},\n {\"box_2d\": [138, 506, 243, 545], \"label\": \"potato\"},\n {\"box_2d\": [241, 505, 338, 547], \"label\": \"potato\"},\n {\"box_2d\": [492, 496, 588, 535], \"label\": \"potato\"},\n {\"box_2d\": [680, 495, 799, 546], \"label\": \"potato\"},\n {\"box_2d\": [7, 551, 82, 582], \"label\": \"potato\"},\n {\"box_2d\": [150, 550, 231, 583], \"label\": \"potato\"},\n {\"box_2d\": [230, 551, 319, 581], \"label\": \"potato\"},\n {\"box_2d\": [492, 548, 569, 581], \"label\": \"potato\"},\n {\"box_2d\": [687, 548, 745, 573], \"label\": \"potato\"},\n {\"box_2d\": [788, 541, 878, 580], \"label\": \"potato\"},\n {\"box_2d\": [923, 541, 1000, 573], \"label\": \"potato\"},\n {\"box_2d\": [4, 595, 72, 629], \"label\": \"potato\"},\n {\"box_2d\": [71, 595, 173, 632], \"label\": \"potato\"},\n {\"box_2d\": [168, 595, 255, 629], \"label\": \"potato\"},\n {\"box_2d\": [309, 593, 420, 636], \"label\": \"potato\"},\n {\"box_2d\": [645, 585, 729, 619], \"label\": \"potato\"},\n {\"box_2d\": [0, 629, 88, 666], \"label\": \"potato\"},\n {\"box_2d\": [86, 639, 157, 669], \"label\": \"potato\"},\n {\"box_2d\": [156, 639, 232, 669], \"label\": \"potato\"},\n {\"box_2d\": [256, 640, 321, 668], \"label\": \"potato\"},\n {\"box_2d\": [370, 637, 440, 667], \"label\": \"potato\"},\n {\"box_2d\": [506, 637, 575, 664], \"label\": \"potato\"},\n {\"box_2d\": [813, 625, 938, 664], \"label\": \"potato\"},\n {\"box_2d\": [61, 682, 132, 712], \"label\": \"potato\"},\n {\"box_2d\": [13, 727, 99, 761], \"label\": \"potato\"},\n {\"box_2d\": [519, 721, 606, 762], \"label\": \"potato\"},\n {\"box_2d\": [287, 766, 356, 790], \"label\": \"potato\"},\n {\"box_2d\": [441, 765, 517, 796], \"label\": \"potato\"},\n {\"box_2d\": [21, 813, 83, 842], \"label\": \"potato\"},\n {\"box_2d\": [326, 810, 387, 836], \"label\": \"potato\"},\n {\"box_2d\": [313, 849, 393, 878], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 5375, "elapsed_seconds": 52.554920666036196, "metadata": {"match_method": "map", "num_predictions": 81, "num_ground_truth": 81, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 53.0458}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 241, "image": "lot251_JPEG_jpg.rf.5ae906b5fd537b40c5fabb806ecf5fd9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [179, 341, 201, 381], \"label\": \"chicory seed\"},\n {\"box_2d\": [199, 316, 226, 355], \"label\": \"chicory seed\"},\n {\"box_2d\": [198, 281, 224, 323], \"label\": \"chicory seed\"},\n {\"box_2d\": [186, 362, 211, 405], \"label\": \"chicory seed\"},\n {\"box_2d\": [196, 424, 232, 459], \"label\": \"chicory seed\"},\n {\"box_2d\": [179, 498, 215, 524], \"label\": \"chicory seed\"},\n {\"box_2d\": [190, 538, 228, 565], \"label\": \"chicory seed\"},\n {\"box_2d\": [194, 577, 232, 603], \"label\": \"chicory seed\"},\n {\"box_2d\": [222, 250, 253, 284], \"label\": \"chicory seed\"},\n {\"box_2d\": [229, 260, 260, 297], \"label\": \"chicory seed\"},\n {\"box_2d\": [221, 302, 260, 331], \"label\": \"chicory seed\"},\n {\"box_2d\": [213, 337, 252, 366], \"label\": \"chicory seed\"},\n {\"box_2d\": [208, 366, 231, 409], \"label\": \"chicory seed\"},\n {\"box_2d\": [223, 398, 253, 437], \"label\": \"chicory seed\"},\n {\"box_2d\": [224, 354, 263, 377], \"label\": \"chicory seed\"},\n {\"box_2d\": [239, 375, 259, 417], \"label\": \"chicory seed\"},\n {\"box_2d\": [218, 491, 253, 519], \"label\": \"chicory seed\"},\n {\"box_2d\": [215, 518, 256, 541], \"label\": \"chicory seed\"},\n {\"box_2d\": [238, 591, 261, 631], \"label\": \"chicory seed\"},\n {\"box_2d\": [244, 639, 284, 667], \"label\": \"chicory seed\"},\n {\"box_2d\": [249, 660, 269, 697], \"label\": \"chicory seed\"},\n {\"box_2d\": [261, 241, 287, 281], \"label\": \"chicory seed\"},\n {\"box_2d\": [249, 289, 284, 317], \"label\": \"chicory seed\"},\n {\"box_2d\": [267, 275, 298, 306], \"label\": \"chicory seed\"},\n {\"box_2d\": [274, 309, 296, 349], \"label\": \"chicory seed\"},\n {\"box_2d\": [259, 373, 280, 412], \"label\": \"chicory seed\"},\n {\"box_2d\": [244, 418, 277, 459], \"label\": \"chicory seed\"},\n {\"box_2d\": [253, 452, 290, 483], \"label\": \"chicory seed\"},\n {\"box_2d\": [277, 340, 311, 372], \"label\": \"chicory seed\"},\n {\"box_2d\": [279, 371, 298, 412], \"label\": \"chicory seed\"},\n {\"box_2d\": [275, 422, 301, 463], \"label\": \"chicory seed\"},\n {\"box_2d\": [273, 485, 307, 524], \"label\": \"chicory seed\"},\n {\"box_2d\": [251, 533, 284, 571], \"label\": \"chicory seed\"},\n {\"box_2d\": [280, 545, 300, 591], \"label\": \"chicory seed\"},\n {\"box_2d\": [272, 603, 303, 637], \"label\": \"chicory seed\"},\n {\"box_2d\": [271, 657, 293, 697], \"label\": \"chicory seed\"},\n {\"box_2d\": [291, 644, 311, 686], \"label\": \"chicory seed\"},\n {\"box_2d\": [292, 696, 323, 735], \"label\": \"chicory seed\"},\n {\"box_2d\": [282, 193, 315, 230], \"label\": \"chicory seed\"},\n {\"box_2d\": [293, 209, 321, 248], \"label\": \"chicory seed\"},\n {\"box_2d\": [301, 267, 338, 302], \"label\": \"chicory seed\"},\n {\"box_2d\": [298, 282, 320, 324], \"label\": \"chicory seed\"},\n {\"box_2d\": [312, 320, 333, 364], \"label\": \"chicory seed\"},\n {\"box_2d\": [296, 364, 325, 405], \"label\": \"chicory seed\"},\n {\"box_2d\": [285, 406, 328, 429], \"label\": \"chicory seed\"},\n {\"box_2d\": [297, 439, 319, 481], \"label\": \"chicory seed\"},\n {\"box_2d\": [291, 509, 330, 535], \"label\": \"chicory seed\"},\n {\"box_2d\": [301, 550, 328, 592], \"label\": \"chicory seed\"},\n {\"box_2d\": [313, 567, 350, 604], \"label\": \"chicory seed\"},\n {\"box_2d\": [303, 608, 335, 646], \"label\": \"chicory seed\"},\n {\"box_2d\": [313, 670, 335, 712], \"label\": \"chicory seed\"},\n {\"box_2d\": [329, 696, 364, 731], \"label\": \"chicory seed\"},\n {\"box_2d\": [332, 747, 370, 777], \"label\": \"chicory seed\"},\n {\"box_2d\": [325, 208, 348, 247], \"label\": \"chicory seed\"},\n {\"box_2d\": [336, 242, 374, 265], \"label\": \"chicory seed\"},\n {\"box_2d\": [325, 260, 366, 285], \"label\": \"chicory seed\"},\n {\"box_2d\": [330, 284, 361, 322], 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\"chicory seed\"},\n {\"box_2d\": [695, 643, 735, 668], \"label\": \"chicory seed\"},\n {\"box_2d\": [718, 282, 748, 327], \"label\": \"chicory seed\"},\n {\"box_2d\": [722, 316, 753, 358], \"label\": \"chicory seed\"},\n {\"box_2d\": [737, 364, 762, 408], \"label\": \"chicory seed\"},\n {\"box_2d\": [718, 461, 748, 504], \"label\": \"chicory seed\"},\n {\"box_2d\": [735, 463, 769, 502], \"label\": \"chicory seed\"},\n {\"box_2d\": [711, 497, 746, 536], \"label\": \"chicory seed\"},\n {\"box_2d\": [742, 501, 773, 543], \"label\": \"chicory seed\"},\n {\"box_2d\": [728, 540, 755, 584], \"label\": \"chicory seed\"},\n {\"box_2d\": [715, 578, 743, 621], \"label\": \"chicory seed\"},\n {\"box_2d\": [738, 577, 771, 616], \"label\": \"chicory seed\"},\n {\"box_2d\": [729, 620, 754, 667], \"label\": \"chicory seed\"},\n {\"box_2d\": [742, 283, 770, 329], \"label\": \"chicory seed\"},\n {\"box_2d\": [755, 346, 778, 390], \"label\": \"chicory seed\"},\n {\"box_2d\": [759, 400, 799, 427], \"label\": \"chicory seed\"},\n {\"box_2d\": [741, 420, 778, 458], \"label\": \"chicory seed\"},\n {\"box_2d\": [755, 484, 786, 528], \"label\": \"chicory seed\"},\n {\"box_2d\": [773, 474, 808, 513], \"label\": \"chicory seed\"},\n {\"box_2d\": [760, 524, 799, 558], \"label\": \"chicory seed\"},\n {\"box_2d\": [749, 590, 785, 629], \"label\": \"chicory seed\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 17372, "elapsed_seconds": 124.33823854196817, "metadata": {"match_method": "map", "num_predictions": 300, "num_ground_truth": 300, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3366336524486542, "attempts": 1, "retries": 0, "total_seconds": 124.4528}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 242, "image": "4105625_ContRightUpper_f_jpg.rf.262f5072bce0f2365a2193d631224fd1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [333, 0, 621, 271], \"label\": \"shipping container wall dent\"}\n]\n```", "correct": false, "input_tokens": 1255, "output_tokens": 507, "elapsed_seconds": 10.372059165965766, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 10.4688}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 243, "image": "18_jpeg_jpg.rf.b131f08c745acace9daeeea095e0d1ef.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [84, 18, 190, 110], \"label\": \"potato\"},\n {\"box_2d\": [91, 444, 182, 541], \"label\": \"potato\"},\n {\"box_2d\": [89, 888, 214, 987], \"label\": \"potato\"},\n {\"box_2d\": [300, 178, 391, 261], \"label\": \"potato\"},\n {\"box_2d\": [282, 843, 405, 969], \"label\": \"potato\"},\n {\"box_2d\": [501, 1, 686, 61], \"label\": \"potato\"},\n {\"box_2d\": [491, 236, 622, 323], \"label\": \"potato\"},\n {\"box_2d\": [496, 448, 594, 535], \"label\": \"potato\"},\n {\"box_2d\": [500, 613, 606, 699], \"label\": \"potato\"},\n {\"box_2d\": [497, 876, 599, 958], \"label\": \"potato\"},\n {\"box_2d\": [699, 141, 813, 250], \"label\": \"potato\"},\n {\"box_2d\": [713, 355, 818, 477], \"label\": \"potato\"},\n {\"box_2d\": [719, 541, 819, 629], \"label\": \"potato\"},\n {\"box_2d\": [714, 665, 821, 750], \"label\": \"potato\"},\n {\"box_2d\": [689, 936, 795, 1000], \"label\": \"potato\"},\n {\"box_2d\": [901, 147, 1000, 253], \"label\": \"potato\"},\n {\"box_2d\": [906, 595, 1000, 692], \"label\": \"potato\"},\n {\"box_2d\": [872, 916, 986, 1000], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1240, "output_tokens": 1758, "elapsed_seconds": 16.68980804202147, "metadata": {"match_method": "map", "num_predictions": 18, "num_ground_truth": 18, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 16.7209}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 244, "image": "lot312_JPEG_jpg.rf.6c72b39304c1a45a005f911f32e89494.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [135, 480, 159, 521], \"label\": \"chicory seed\"},\n {\"box_2d\": [141, 419, 170, 460], \"label\": \"chicory seed\"},\n {\"box_2d\": [141, 538, 166, 583], \"label\": \"chicory seed\"},\n {\"box_2d\": [151, 583, 179, 623], \"label\": \"chicory seed\"},\n {\"box_2d\": [154, 469, 179, 511], \"label\": \"chicory seed\"},\n {\"box_2d\": [161, 540, 186, 584], \"label\": \"chicory seed\"},\n {\"box_2d\": [168, 320, 196, 365], \"label\": \"chicory seed\"},\n {\"box_2d\": [170, 610, 202, 652], \"label\": \"chicory seed\"},\n {\"box_2d\": [170, 656, 198, 700], \"label\": \"chicory seed\"},\n {\"box_2d\": [174, 459, 198, 505], \"label\": \"chicory seed\"},\n {\"box_2d\": [174, 577, 213, 613], \"label\": \"chicory seed\"},\n {\"box_2d\": [181, 357, 212, 399], \"label\": \"chicory seed\"},\n {\"box_2d\": [184, 530, 207, 579], \"label\": \"chicory seed\"},\n {\"box_2d\": [191, 389, 220, 431], \"label\": \"chicory seed\"},\n {\"box_2d\": [194, 450, 222, 490], \"label\": \"chicory seed\"},\n {\"box_2d\": [194, 488, 234, 519], \"label\": \"chicory seed\"},\n {\"box_2d\": [195, 666, 218, 708], \"label\": \"chicory seed\"},\n {\"box_2d\": [208, 425, 250, 465], \"label\": \"chicory seed\"},\n {\"box_2d\": [212, 344, 237, 389], \"label\": \"chicory seed\"},\n {\"box_2d\": [213, 561, 241, 606], \"label\": \"chicory seed\"},\n {\"box_2d\": [213, 728, 245, 769], \"label\": \"chicory seed\"},\n {\"box_2d\": [214, 469, 261, 499], \"label\": \"chicory seed\"},\n {\"box_2d\": [216, 265, 241, 309], \"label\": \"chicory seed\"},\n {\"box_2d\": [216, 606, 243, 650], \"label\": \"chicory seed\"},\n {\"box_2d\": [216, 653, 249, 696], \"label\": \"chicory seed\"},\n {\"box_2d\": [219, 376, 251, 415], \"label\": \"chicory seed\"},\n {\"box_2d\": [223, 309, 251, 353], \"label\": \"chicory seed\"},\n {\"box_2d\": [223, 397, 265, 430], \"label\": \"chicory seed\"},\n {\"box_2d\": [229, 515, 252, 561], \"label\": \"chicory seed\"},\n {\"box_2d\": [237, 204, 274, 243], \"label\": \"chicory seed\"},\n {\"box_2d\": [238, 347, 271, 388], \"label\": \"chicory seed\"},\n {\"box_2d\": [239, 594, 283, 626], \"label\": \"chicory seed\"},\n {\"box_2d\": [242, 426, 274, 469], \"label\": \"chicory seed\"},\n {\"box_2d\": [243, 532, 269, 575], \"label\": \"chicory seed\"},\n {\"box_2d\": [243, 669, 290, 699], \"label\": \"chicory seed\"},\n {\"box_2d\": [244, 498, 279, 538], \"label\": \"chicory seed\"},\n {\"box_2d\": [249, 747, 274, 792], \"label\": \"chicory seed\"},\n {\"box_2d\": [252, 239, 278, 284], \"label\": \"chicory seed\"},\n {\"box_2d\": [255, 570, 297, 610], \"label\": \"chicory seed\"},\n {\"box_2d\": [260, 465, 287, 506], \"label\": \"chicory seed\"},\n {\"box_2d\": [262, 376, 292, 419], \"label\": \"chicory seed\"},\n {\"box_2d\": [262, 697, 290, 742], \"label\": \"chicory seed\"},\n {\"box_2d\": [268, 413, 296, 457], \"label\": \"chicory seed\"},\n {\"box_2d\": [269, 531, 313, 562], \"label\": \"chicory seed\"},\n {\"box_2d\": [270, 492, 307, 530], \"label\": \"chicory seed\"},\n {\"box_2d\": [275, 233, 303, 277], \"label\": \"chicory seed\"},\n {\"box_2d\": [276, 627, 313, 668], \"label\": \"chicory seed\"},\n {\"box_2d\": [277, 786, 317, 819], \"label\": \"chicory seed\"},\n {\"box_2d\": [279, 174, 316, 211], \"label\": \"chicory seed\"},\n {\"box_2d\": [279, 331, 309, 372], \"label\": \"chicory seed\"},\n {\"box_2d\": [283, 693, 316, 736], \"label\": \"chicory seed\"},\n {\"box_2d\": [284, 258, 313, 300], \"label\": \"chicory seed\"},\n {\"box_2d\": [284, 450, 311, 492], \"label\": \"chicory seed\"},\n {\"box_2d\": [286, 754, 319, 792], \"label\": \"chicory seed\"},\n {\"box_2d\": [289, 661, 331, 697], \"label\": \"chicory seed\"},\n {\"box_2d\": [291, 383, 333, 411], \"label\": \"chicory seed\"},\n {\"box_2d\": [293, 412, 323, 457], \"label\": \"chicory seed\"},\n {\"box_2d\": [296, 283, 328, 331], \"label\": \"chicory seed\"},\n {\"box_2d\": [299, 545, 335, 586], \"label\": \"chicory seed\"},\n {\"box_2d\": [299, 799, 337, 836], \"label\": \"chicory seed\"},\n {\"box_2d\": [301, 211, 327, 256], \"label\": \"chicory seed\"},\n {\"box_2d\": [301, 497, 332, 541], \"label\": \"chicory seed\"},\n {\"box_2d\": [306, 589, 348, 618], \"label\": \"chicory seed\"},\n {\"box_2d\": [307, 403, 353, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [308, 715, 335, 759], \"label\": \"chicory seed\"},\n {\"box_2d\": [309, 472, 335, 517], \"label\": \"chicory seed\"},\n {\"box_2d\": [313, 327, 355, 355], \"label\": \"chicory seed\"},\n {\"box_2d\": [314, 758, 339, 801], \"label\": \"chicory seed\"},\n {\"box_2d\": [315, 237, 348, 281], \"label\": \"chicory seed\"},\n {\"box_2d\": [316, 636, 342, 680], \"label\": \"chicory seed\"},\n {\"box_2d\": [317, 360, 358, 399], \"label\": \"chicory seed\"},\n {\"box_2d\": [321, 429, 353, 475], \"label\": \"chicory seed\"},\n {\"box_2d\": [322, 687, 361, 725], \"label\": \"chicory seed\"},\n {\"box_2d\": [325, 815, 359, 855], \"label\": \"chicory seed\"},\n {\"box_2d\": [329, 731, 367, 769], \"label\": \"chicory seed\"},\n {\"box_2d\": [331, 270, 359, 318], \"label\": \"chicory seed\"},\n {\"box_2d\": [332, 478, 358, 525], \"label\": \"chicory seed\"},\n {\"box_2d\": [333, 530, 360, 575], \"label\": \"chicory seed\"},\n {\"box_2d\": [335, 768, 376, 800], \"label\": \"chicory seed\"},\n {\"box_2d\": [342, 418, 371, 463], \"label\": \"chicory seed\"},\n {\"box_2d\": [346, 351, 386, 384], \"label\": \"chicory seed\"},\n {\"box_2d\": [351, 382, 386, 425], \"label\": \"chicory seed\"},\n {\"box_2d\": [353, 226, 381, 272], \"label\": \"chicory seed\"},\n {\"box_2d\": [354, 465, 385, 510], \"label\": \"chicory seed\"},\n {\"box_2d\": [355, 174, 384, 218], \"label\": \"chicory seed\"},\n {\"box_2d\": [356, 283, 384, 327], \"label\": \"chicory seed\"},\n {\"box_2d\": [357, 783, 390, 823], \"label\": \"chicory seed\"},\n {\"box_2d\": [357, 822, 400, 851], \"label\": \"chicory seed\"},\n {\"box_2d\": [359, 130, 396, 166], \"label\": \"chicory seed\"},\n {\"box_2d\": [361, 586, 400, 634], \"label\": \"chicory seed\"},\n {\"box_2d\": [364, 551, 406, 585], \"label\": \"chicory seed\"},\n {\"box_2d\": [366, 520, 407, 559], \"label\": \"chicory seed\"},\n {\"box_2d\": [367, 721, 409, 753], \"label\": \"chicory seed\"},\n {\"box_2d\": [368, 430, 399, 476], \"label\": \"chicory seed\"},\n {\"box_2d\": [369, 756, 404, 796], \"label\": \"chicory seed\"},\n {\"box_2d\": [373, 159, 404, 203], \"label\": \"chicory seed\"},\n {\"box_2d\": [374, 293, 412, 333], \"label\": \"chicory seed\"},\n {\"box_2d\": [374, 840, 411, 877], \"label\": \"chicory seed\"},\n {\"box_2d\": [376, 204, 404, 249], \"label\": \"chicory seed\"},\n {\"box_2d\": [378, 473, 415, 515], \"label\": \"chicory seed\"},\n {\"box_2d\": [379, 271, 421, 300], \"label\": \"chicory seed\"},\n {\"box_2d\": [379, 643, 409, 687], \"label\": \"chicory seed\"},\n {\"box_2d\": [387, 749, 424, 785], \"label\": \"chicory seed\"},\n {\"box_2d\": [390, 243, 431, 273], \"label\": \"chicory seed\"},\n {\"box_2d\": [390, 312, 429, 349], \"label\": \"chicory seed\"},\n {\"box_2d\": [391, 683, 420, 727], \"label\": \"chicory seed\"},\n {\"box_2d\": [403, 604, 449, 633], \"label\": \"chicory seed\"},\n {\"box_2d\": [406, 832, 433, 876], \"label\": \"chicory seed\"},\n {\"box_2d\": [408, 769, 445, 807], \"label\": \"chicory seed\"},\n {\"box_2d\": [409, 334, 439, 380], \"label\": \"chicory seed\"},\n {\"box_2d\": [409, 674, 432, 719], \"label\": \"chicory seed\"},\n {\"box_2d\": [413, 114, 454, 142], \"label\": \"chicory seed\"},\n {\"box_2d\": [420, 743, 465, 768], \"label\": \"chicory seed\"},\n {\"box_2d\": [422, 653, 463, 686], \"label\": \"chicory seed\"},\n {\"box_2d\": [422, 850, 452, 893], \"label\": \"chicory seed\"},\n {\"box_2d\": [423, 792, 452, 836], \"label\": \"chicory seed\"},\n {\"box_2d\": [427, 280, 457, 324], \"label\": \"chicory seed\"},\n {\"box_2d\": [428, 675, 459, 716], \"label\": \"chicory seed\"},\n {\"box_2d\": [437, 316, 480, 352], \"label\": \"chicory seed\"},\n {\"box_2d\": [438, 704, 482, 743], \"label\": \"chicory seed\"},\n {\"box_2d\": [441, 389, 471, 432], \"label\": \"chicory seed\"},\n {\"box_2d\": [441, 498, 474, 543], \"label\": \"chicory seed\"},\n {\"box_2d\": [441, 635, 485, 664], \"label\": \"chicory seed\"},\n {\"box_2d\": [445, 336, 483, 374], \"label\": \"chicory seed\"},\n {\"box_2d\": [447, 854, 479, 898], \"label\": \"chicory seed\"},\n {\"box_2d\": [449, 290, 493, 326], \"label\": \"chicory seed\"},\n {\"box_2d\": [450, 439, 494, 469], \"label\": \"chicory seed\"},\n {\"box_2d\": [451, 798, 495, 826], \"label\": \"chicory seed\"},\n {\"box_2d\": [453, 251, 485, 291], \"label\": \"chicory seed\"},\n {\"box_2d\": [456, 183, 491, 227], \"label\": \"chicory seed\"},\n {\"box_2d\": [464, 826, 505, 859], \"label\": \"chicory seed\"},\n {\"box_2d\": [465, 664, 496, 708], \"label\": \"chicory seed\"},\n {\"box_2d\": [467, 484, 506, 517], \"label\": \"chicory seed\"},\n {\"box_2d\": [468, 357, 508, 387], \"label\": \"chicory seed\"},\n {\"box_2d\": [468, 390, 499, 435], \"label\": \"chicory seed\"},\n {\"box_2d\": [470, 108, 495, 152], \"label\": \"chicory seed\"},\n {\"box_2d\": [471, 548, 513, 575], \"label\": \"chicory seed\"},\n {\"box_2d\": [471, 587, 503, 632], \"label\": \"chicory seed\"},\n {\"box_2d\": [472, 276, 510, 317], \"label\": \"chicory seed\"},\n {\"box_2d\": [472, 699, 503, 744], \"label\": \"chicory seed\"},\n {\"box_2d\": [477, 779, 517, 814], \"label\": \"chicory seed\"},\n {\"box_2d\": [478, 323, 514, 365], \"label\": \"chicory seed\"},\n {\"box_2d\": [483, 189, 519, 231], \"label\": \"chicory seed\"},\n {\"box_2d\": [489, 398, 523, 442], \"label\": \"chicory seed\"},\n {\"box_2d\": [492, 109, 518, 151], \"label\": \"chicory seed\"},\n {\"box_2d\": [492, 683, 522, 726], \"label\": \"chicory seed\"},\n {\"box_2d\": [494, 657, 529, 702], \"label\": \"chicory seed\"},\n {\"box_2d\": [497, 263, 538, 298], \"label\": \"chicory seed\"},\n {\"box_2d\": [498, 612, 543, 640], \"label\": \"chicory seed\"},\n {\"box_2d\": [506, 805, 538, 850], \"label\": \"chicory seed\"},\n {\"box_2d\": [507, 208, 545, 249], \"label\": \"chicory seed\"},\n {\"box_2d\": [508, 753, 539, 796], \"label\": \"chicory seed\"},\n {\"box_2d\": [509, 360, 549, 405], \"label\": \"chicory seed\"},\n {\"box_2d\": [510, 638, 543, 685], \"label\": \"chicory seed\"},\n {\"box_2d\": [511, 726, 554, 756], \"label\": \"chicory seed\"},\n {\"box_2d\": [513, 455, 544, 501], \"label\": \"chicory seed\"},\n {\"box_2d\": [516, 293, 546, 339], \"label\": \"chicory seed\"},\n {\"box_2d\": [519, 506, 556, 551], \"label\": \"chicory seed\"},\n {\"box_2d\": [519, 590, 562, 621], \"label\": \"chicory seed\"},\n {\"box_2d\": [524, 701, 569, 730], \"label\": \"chicory seed\"},\n {\"box_2d\": [525, 105, 565, 139], \"label\": \"chicory seed\"},\n {\"box_2d\": [526, 141, 553, 187], \"label\": \"chicory seed\"},\n {\"box_2d\": [527, 567, 570, 597], \"label\": \"chicory seed\"},\n {\"box_2d\": [529, 245, 560, 288], \"label\": \"chicory seed\"},\n {\"box_2d\": [533, 755, 565, 799], \"label\": \"chicory seed\"},\n {\"box_2d\": [537, 455, 569, 500], \"label\": \"chicory seed\"},\n {\"box_2d\": [538, 633, 568, 678], \"label\": \"chicory seed\"},\n {\"box_2d\": [543, 280, 576, 323], \"label\": \"chicory seed\"},\n {\"box_2d\": [544, 679, 590, 707], \"label\": \"chicory seed\"},\n {\"box_2d\": [546, 606, 590, 638], \"label\": \"chicory seed\"},\n {\"box_2d\": [551, 136, 586, 175], \"label\": \"chicory seed\"},\n {\"box_2d\": [554, 360, 597, 396], \"label\": \"chicory seed\"},\n {\"box_2d\": [554, 641, 597, 674], \"label\": \"chicory seed\"},\n {\"box_2d\": [559, 163, 600, 195], \"label\": \"chicory seed\"},\n {\"box_2d\": [559, 521, 598, 561], \"label\": \"chicory seed\"},\n {\"box_2d\": [564, 111, 606, 141], \"label\": \"chicory seed\"},\n {\"box_2d\": [566, 747, 594, 792], \"label\": \"chicory seed\"},\n {\"box_2d\": [569, 193, 611, 225], \"label\": \"chicory seed\"},\n {\"box_2d\": [571, 285, 601, 330], \"label\": \"chicory seed\"},\n {\"box_2d\": [572, 551, 605, 595], \"label\": \"chicory seed\"},\n {\"box_2d\": [574, 716, 616, 751], \"label\": \"chicory seed\"},\n {\"box_2d\": [574, 843, 613, 882], \"label\": \"chicory seed\"},\n {\"box_2d\": [576, 254, 617, 292], \"label\": \"chicory seed\"},\n {\"box_2d\": [584, 136, 617, 179], \"label\": \"chicory seed\"},\n {\"box_2d\": [593, 312, 620, 358], \"label\": \"chicory seed\"},\n {\"box_2d\": [594, 657, 623, 702], \"label\": \"chicory seed\"},\n {\"box_2d\": [595, 854, 635, 889], \"label\": \"chicory seed\"},\n {\"box_2d\": [597, 788, 637, 826], \"label\": \"chicory seed\"},\n {\"box_2d\": [598, 608, 642, 642], \"label\": \"chicory seed\"},\n {\"box_2d\": [601, 417, 636, 460], \"label\": \"chicory seed\"},\n {\"box_2d\": [601, 515, 641, 562], \"label\": \"chicory seed\"},\n {\"box_2d\": [603, 822, 644, 849], \"label\": \"chicory seed\"},\n {\"box_2d\": [605, 297, 645, 333], \"label\": \"chicory seed\"},\n {\"box_2d\": [606, 479, 649, 516], \"label\": \"chicory seed\"},\n {\"box_2d\": [606, 641, 642, 681], \"label\": \"chicory seed\"},\n {\"box_2d\": [607, 165, 637, 209], \"label\": \"chicory seed\"},\n {\"box_2d\": [607, 351, 637, 395], \"label\": \"chicory seed\"},\n {\"box_2d\": [618, 387, 658, 428], \"label\": \"chicory seed\"},\n {\"box_2d\": [624, 330, 661, 369], \"label\": \"chicory seed\"},\n {\"box_2d\": [626, 847, 668, 874], \"label\": \"chicory seed\"},\n {\"box_2d\": [629, 658, 664, 702], \"label\": \"chicory seed\"},\n {\"box_2d\": [632, 126, 672, 158], \"label\": \"chicory seed\"},\n {\"box_2d\": [633, 196, 671, 236], \"label\": \"chicory seed\"},\n {\"box_2d\": [634, 280, 675, 318], \"label\": \"chicory seed\"},\n {\"box_2d\": [634, 571, 674, 611], \"label\": \"chicory seed\"},\n {\"box_2d\": [635, 151, 681, 180], \"label\": \"chicory seed\"},\n {\"box_2d\": [638, 318, 676, 346], \"label\": \"chicory seed\"},\n {\"box_2d\": [639, 249, 676, 288], \"label\": \"chicory seed\"},\n {\"box_2d\": [648, 722, 690, 759], \"label\": \"chicory seed\"},\n {\"box_2d\": [650, 400, 688, 444], \"label\": \"chicory seed\"},\n {\"box_2d\": [651, 793, 691, 833], \"label\": \"chicory seed\"},\n {\"box_2d\": [657, 305, 698, 335], \"label\": \"chicory seed\"},\n {\"box_2d\": [659, 170, 702, 199], \"label\": \"chicory seed\"},\n {\"box_2d\": [660, 209, 687, 253], \"label\": \"chicory seed\"},\n {\"box_2d\": [660, 332, 701, 360], \"label\": \"chicory seed\"},\n {\"box_2d\": [662, 642, 690, 686], \"label\": \"chicory seed\"},\n {\"box_2d\": [666, 144, 708, 174], \"label\": \"chicory seed\"},\n {\"box_2d\": [666, 277, 707, 310], \"label\": \"chicory seed\"},\n {\"box_2d\": [667, 524, 701, 566], \"label\": \"chicory seed\"},\n {\"box_2d\": [668, 353, 695, 396], \"label\": \"chicory seed\"},\n {\"box_2d\": [670, 686, 708, 731], \"label\": \"chicory seed\"},\n {\"box_2d\": [673, 194, 713, 227], \"label\": \"chicory seed\"},\n {\"box_2d\": [673, 234, 701, 281], \"label\": \"chicory seed\"},\n {\"box_2d\": [674, 417, 713, 456], \"label\": \"chicory seed\"},\n {\"box_2d\": [678, 561, 717, 601], \"label\": \"chicory seed\"},\n {\"box_2d\": [678, 756, 712, 798], \"label\": \"chicory seed\"},\n {\"box_2d\": [685, 220, 720, 261], \"label\": \"chicory seed\"},\n {\"box_2d\": [686, 489, 721, 533], \"label\": \"chicory seed\"},\n {\"box_2d\": [689, 699, 728, 737], \"label\": \"chicory seed\"},\n {\"box_2d\": [689, 798, 724, 843], \"label\": \"chicory seed\"},\n {\"box_2d\": [691, 340, 724, 378], \"label\": \"chicory seed\"},\n {\"box_2d\": [691, 606, 720, 653], \"label\": \"chicory seed\"},\n {\"box_2d\": [694, 302, 722, 346], \"label\": \"chicory seed\"},\n {\"box_2d\": [697, 166, 728, 209], \"label\": \"chicory seed\"},\n {\"box_2d\": [697, 540, 740, 568], \"label\": \"chicory seed\"},\n {\"box_2d\": [699, 736, 740, 774], \"label\": \"chicory seed\"},\n {\"box_2d\": [700, 372, 728, 415], \"label\": \"chicory seed\"},\n {\"box_2d\": [704, 260, 733, 306], \"label\": \"chicory seed\"},\n {\"box_2d\": [710, 185, 750, 222], \"label\": \"chicory seed\"},\n {\"box_2d\": [711, 771, 754, 799], \"label\": \"chicory seed\"},\n {\"box_2d\": [713, 414, 741, 458], \"label\": \"chicory seed\"},\n {\"box_2d\": [715, 345, 742, 392], \"label\": \"chicory seed\"},\n {\"box_2d\": [715, 592, 749, 639], \"label\": \"chicory seed\"},\n {\"box_2d\": [718, 458, 747, 504], \"label\": \"chicory seed\"},\n {\"box_2d\": [719, 300, 749, 347], \"label\": \"chicory seed\"},\n {\"box_2d\": [719, 565, 759, 600], \"label\": \"chicory seed\"},\n {\"box_2d\": [720, 718, 759, 759], \"label\": \"chicory seed\"},\n {\"box_2d\": [722, 644, 761, 684], \"label\": \"chicory seed\"},\n {\"box_2d\": [723, 203, 766, 239], \"label\": \"chicory seed\"},\n {\"box_2d\": [731, 405, 760, 451], \"label\": \"chicory seed\"},\n {\"box_2d\": [732, 264, 762, 306], \"label\": \"chicory seed\"},\n {\"box_2d\": [732, 378, 776, 407], \"label\": \"chicory seed\"},\n {\"box_2d\": [734, 358, 777, 384], \"label\": \"chicory seed\"},\n {\"box_2d\": [737, 692, 767, 738], \"label\": \"chicory seed\"},\n {\"box_2d\": [739, 536, 783, 565], \"label\": \"chicory seed\"},\n {\"box_2d\": [740, 224, 775, 263], \"label\": \"chicory seed\"},\n {\"box_2d\": [741, 301, 785, 324], \"label\": \"chicory seed\"},\n {\"box_2d\": [745, 319, 786, 343], \"label\": \"chicory seed\"},\n {\"box_2d\": [749, 238, 792, 269], \"label\": \"chicory seed\"},\n {\"box_2d\": [750, 628, 792, 660], \"label\": \"chicory seed\"},\n {\"box_2d\": [751, 390, 795, 422], \"label\": \"chicory seed\"},\n {\"box_2d\": [752, 509, 793, 550], \"label\": \"chicory seed\"},\n {\"box_2d\": [753, 333, 796, 362], \"label\": \"chicory seed\"},\n {\"box_2d\": [756, 559, 793, 601], \"label\": \"chicory seed\"},\n {\"box_2d\": [757, 420, 800, 453], \"label\": \"chicory seed\"},\n {\"box_2d\": [759, 457, 802, 487], \"label\": \"chicory seed\"},\n {\"box_2d\": [759, 656, 793, 698], \"label\": \"chicory seed\"},\n {\"box_2d\": [759, 726, 798, 766], \"label\": \"chicory seed\"},\n {\"box_2d\": [760, 263, 785, 308], \"label\": \"chicory seed\"},\n {\"box_2d\": [763, 692, 805, 725], \"label\": \"chicory seed\"},\n {\"box_2d\": [773, 396, 814, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [774, 349, 800, 392], \"label\": \"chicory seed\"},\n {\"box_2d\": [777, 252, 812, 294], \"label\": \"chicory seed\"},\n {\"box_2d\": [777, 495, 815, 538], \"label\": \"chicory seed\"},\n {\"box_2d\": [782, 292, 817, 332], \"label\": \"chicory seed\"},\n {\"box_2d\": [795, 358, 828, 399], \"label\": \"chicory seed\"},\n {\"box_2d\": [795, 551, 829, 594], \"label\": \"chicory seed\"},\n {\"box_2d\": [796, 333, 835, 367], \"label\": \"chicory seed\"},\n {\"box_2d\": [796, 660, 830, 702], \"label\": \"chicory seed\"},\n {\"box_2d\": [802, 696, 836, 740], \"label\": \"chicory seed\"},\n {\"box_2d\": [803, 431, 833, 476], \"label\": \"chicory seed\"},\n {\"box_2d\": [806, 309, 847, 338], \"label\": \"chicory seed\"},\n {\"box_2d\": [813, 521, 856, 551], \"label\": \"chicory seed\"},\n {\"box_2d\": [819, 385, 862, 414], \"label\": \"chicory seed\"},\n {\"box_2d\": [822, 360, 864, 389], \"label\": \"chicory seed\"},\n {\"box_2d\": [824, 658, 857, 703], \"label\": \"chicory seed\"},\n {\"box_2d\": [828, 440, 858, 486], \"label\": \"chicory seed\"},\n {\"box_2d\": [829, 555, 860, 604], \"label\": \"chicory seed\"},\n {\"box_2d\": [840, 609, 871, 655], \"label\": \"chicory seed\"},\n {\"box_2d\": [856, 412, 886, 466], \"label\": \"chicory seed\"},\n {\"box_2d\": [859, 499, 887, 546], \"label\": \"chicory seed\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 18393, "elapsed_seconds": 134.74016879103146, "metadata": {"match_method": "map", "num_predictions": 291, "num_ground_truth": 291, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3465346395969391, "attempts": 1, "retries": 0, "total_seconds": 134.8738}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 245, "image": "DJI_0271_JPG_jpg.rf.58c0e5179915be4446df421b02825d3d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [555, 789, 716, 915], \"label\": \"excavator\"},\n {\"box_2d\": [321, 681, 358, 734], \"label\": \"excavator\"},\n {\"box_2d\": [265, 86, 312, 134], \"label\": \"excavator\"},\n {\"box_2d\": [224, 84, 281, 117], \"label\": \"excavator\"},\n {\"box_2d\": [184, 790, 232, 828], \"label\": \"dump truck\"},\n {\"box_2d\": [0, 360, 1000, 623], \"label\": \"tower crane\"}\n]\n```", "correct": true, "input_tokens": 1206, "output_tokens": 1137, "elapsed_seconds": 29.192230749991722, "metadata": {"match_method": "map", "num_predictions": 6, "num_ground_truth": 6, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 30.0717}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 246, "image": "IMG_3900_JPG.rf.5ee75659ac02193213ba7636038947a4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [325, 565, 391, 670], \"label\": \"50 poker chip\"},\n {\"box_2d\": [368, 485, 437, 593], \"label\": \"5 poker chip\"},\n {\"box_2d\": [357, 320, 426, 426], \"label\": \"10 poker chip\"},\n {\"box_2d\": [393, 637, 465, 749], \"label\": \"10000 poker chip\"},\n {\"box_2d\": [404, 152, 477, 265], \"label\": \"500 poker chip\"},\n {\"box_2d\": [415, 265, 489, 377], \"label\": \"10 poker chip\"},\n {\"box_2d\": [427, 422, 502, 534], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [458, 681, 536, 800], \"label\": \"50 poker chip\"},\n {\"box_2d\": [469, 326, 546, 441], \"label\": \"500 poker chip\"},\n {\"box_2d\": [482, 489, 562, 604], \"label\": \"100 poker chip\"},\n {\"box_2d\": [503, 598, 585, 718], \"label\": \"100 poker chip\"},\n {\"box_2d\": [499, 91, 582, 211], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [512, 206, 595, 326], \"label\": \"100 poker chip\"},\n {\"box_2d\": [525, 393, 608, 511], \"label\": \"10 poker chip\"},\n {\"box_2d\": [540, 740, 626, 865], \"label\": \"100 poker chip\"},\n {\"box_2d\": [566, 285, 654, 409], \"label\": \"10 poker chip\"},\n {\"box_2d\": [590, 134, 681, 264], \"label\": \"10 poker chip\"},\n {\"box_2d\": [581, 616, 672, 742], \"label\": \"5 poker chip\"},\n {\"box_2d\": [592, 469, 686, 595], \"label\": \"50 poker chip\"},\n {\"box_2d\": [623, 738, 719, 870], \"label\": \"100 poker chip\"},\n {\"box_2d\": [631, 355, 728, 485], \"label\": \"10 poker chip\"},\n {\"box_2d\": [697, 250, 803, 386], \"label\": \"20 poker chip\"},\n {\"box_2d\": [718, 397, 825, 535], \"label\": \"10 poker chip\"},\n {\"box_2d\": [689, 637, 794, 774], \"label\": \"100 poker chip\"},\n {\"box_2d\": [742, 527, 853, 669], \"label\": \"100 poker chip\"}\n]\n```", "correct": true, "input_tokens": 1252, "output_tokens": 2309, "elapsed_seconds": 34.03196454199497, "metadata": {"match_method": "map", "num_predictions": 25, "num_ground_truth": 25, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 34.6349}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 247, "image": "9AAEA6F5-FD0E-47BE-8596-0D85E5F62F1A_jpg.rf.7b7e8cbfdfc78f2c2cad6219290c51d6.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [138, 181, 189, 265], \"label\": \"pill\"},\n {\"box_2d\": [170, 211, 208, 298], \"label\": \"pill\"},\n {\"box_2d\": [138, 270, 195, 348], \"label\": \"pill\"},\n {\"box_2d\": [164, 409, 245, 454], \"label\": \"pill\"},\n {\"box_2d\": [245, 372, 300, 454], \"label\": \"pill\"},\n {\"box_2d\": [164, 466, 236, 535], \"label\": \"pill\"},\n {\"box_2d\": [160, 542, 206, 623], \"label\": \"pill\"},\n {\"box_2d\": [93, 728, 173, 766], \"label\": \"pill\"},\n {\"box_2d\": [156, 687, 224, 756], \"label\": \"pill\"},\n {\"box_2d\": [262, 204, 344, 259], \"label\": \"pill\"},\n {\"box_2d\": [381, 185, 447, 265], \"label\": \"pill\"},\n {\"box_2d\": [447, 166, 535, 208], \"label\": \"pill\"},\n {\"box_2d\": [498, 251, 574, 323], \"label\": \"pill\"},\n {\"box_2d\": [443, 328, 529, 376], \"label\": \"pill\"},\n {\"box_2d\": [452, 358, 537, 405], \"label\": \"pill\"},\n {\"box_2d\": [521, 388, 559, 476], \"label\": \"pill\"},\n {\"box_2d\": [556, 354, 591, 445], \"label\": \"pill\"},\n {\"box_2d\": [465, 443, 538, 513], \"label\": \"pill\"},\n {\"box_2d\": [600, 360, 691, 398], \"label\": \"pill\"},\n {\"box_2d\": [695, 286, 752, 376], \"label\": \"pill\"},\n {\"box_2d\": [794, 289, 845, 382], \"label\": \"pill\"},\n {\"box_2d\": [296, 432, 381, 485], \"label\": \"pill\"},\n {\"box_2d\": [287, 473, 341, 554], \"label\": \"pill\"},\n {\"box_2d\": [319, 484, 377, 565], \"label\": \"pill\"},\n {\"box_2d\": [352, 522, 435, 568], \"label\": \"pill\"},\n {\"box_2d\": [403, 528, 470, 602], \"label\": \"pill\"},\n {\"box_2d\": [442, 548, 512, 622], \"label\": \"pill\"},\n {\"box_2d\": [467, 576, 529, 654], \"label\": \"pill\"},\n {\"box_2d\": [520, 619, 597, 685], \"label\": \"pill\"},\n {\"box_2d\": [315, 567, 400, 600], \"label\": \"pill\"},\n {\"box_2d\": [312, 600, 398, 632], \"label\": \"pill\"},\n {\"box_2d\": [337, 629, 422, 662], \"label\": \"pill\"},\n {\"box_2d\": [335, 662, 420, 696], \"label\": \"pill\"},\n {\"box_2d\": [296, 689, 380, 723], \"label\": \"pill\"},\n {\"box_2d\": [295, 721, 376, 777], \"label\": \"pill\"},\n {\"box_2d\": [360, 706, 445, 752], \"label\": \"pill\"},\n {\"box_2d\": [378, 738, 463, 779], \"label\": \"pill\"},\n {\"box_2d\": [468, 728, 548, 789], \"label\": \"pill\"},\n {\"box_2d\": [555, 686, 642, 730], \"label\": \"pill\"},\n {\"box_2d\": [588, 725, 672, 781], \"label\": \"pill\"},\n {\"box_2d\": [563, 748, 647, 805], \"label\": \"pill\"},\n {\"box_2d\": [685, 639, 725, 729], \"label\": \"pill\"},\n {\"box_2d\": [719, 641, 764, 731], \"label\": \"pill\"},\n {\"box_2d\": [756, 631, 801, 722], \"label\": \"pill\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 3974, "elapsed_seconds": 42.036664749961346, "metadata": {"match_method": "map", "num_predictions": 44, "num_ground_truth": 44, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 42.4856}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 248, "image": "DJI_0237_JPG_jpg.rf.cb5e6b368dca69cc9b7bc36fb47fd6fb.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [586, 558, 750, 623], \"label\": \"excavator\"},\n {\"box_2d\": [381, 865, 434, 952], \"label\": \"concrete mixer\"},\n {\"box_2d\": [301, 180, 333, 228], \"label\": \"dump truck\"},\n {\"box_2d\": [275, 224, 306, 274], \"label\": \"dump truck\"},\n {\"box_2d\": [263, 924, 697, 1000], \"label\": \"tower crane\"},\n {\"box_2d\": [0, 831, 226, 976], \"label\": \"tower crane\"}\n]\n```", "correct": true, "input_tokens": 1209, "output_tokens": 2009, "elapsed_seconds": 40.85562216595281, "metadata": {"match_method": "map", "num_predictions": 6, "num_ground_truth": 7, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8762375712394714, "attempts": 1, "retries": 0, "total_seconds": 41.7207}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_070134", "index": 249, "image": "42ba34_9_9_png_jpg.rf.30ad6b17178011a7360591145cf422a2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [381, 20, 421, 31], \"label\": \"goalkeeper\"},\n {\"box_2d\": [465, 165, 513, 181], \"label\": \"player\"},\n {\"box_2d\": [478, 200, 527, 211], \"label\": \"player\"},\n {\"box_2d\": [612, 256, 667, 269], \"label\": \"player\"},\n {\"box_2d\": [587, 315, 639, 328], \"label\": \"player\"},\n {\"box_2d\": [369, 307, 405, 320], \"label\": \"player\"},\n {\"box_2d\": [355, 319, 396, 330], \"label\": \"player\"},\n {\"box_2d\": [297, 408, 332, 417], \"label\": \"player\"},\n {\"box_2d\": [399, 450, 444, 464], \"label\": \"player\"},\n {\"box_2d\": [406, 454, 451, 467], \"label\": \"player\"},\n {\"box_2d\": [383, 477, 391, 482], \"label\": \"football\"},\n {\"box_2d\": [379, 478, 418, 496], \"label\": \"player\"},\n {\"box_2d\": [421, 479, 469, 490], \"label\": \"referee\"},\n {\"box_2d\": [510, 437, 563, 449], \"label\": \"player\"},\n {\"box_2d\": [471, 502, 521, 520], \"label\": \"player\"},\n {\"box_2d\": [312, 565, 346, 577], \"label\": \"player\"},\n {\"box_2d\": [399, 589, 444, 601], \"label\": \"player\"},\n {\"box_2d\": [321, 656, 359, 669], \"label\": \"player\"},\n {\"box_2d\": [442, 673, 491, 686], \"label\": \"player\"},\n {\"box_2d\": [385, 714, 425, 724], \"label\": \"player\"},\n {\"box_2d\": [397, 715, 441, 725], \"label\": \"player\"},\n {\"box_2d\": [543, 697, 601, 715], \"label\": \"player\"},\n {\"box_2d\": [612, 675, 675, 694], \"label\": \"player\"},\n {\"box_2d\": [756, 889, 825, 912], \"label\": \"referee\"}\n]\n```", "correct": false, "input_tokens": 1242, "output_tokens": 3063, "elapsed_seconds": 26.411521333036944, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5420792102813721, "attempts": 1, "retries": 0, "total_seconds": 26.494}} diff --git a/results/detection_gemini-4-argon_high_20261013_074327.jsonl b/results/detection_gemini-4-argon_high_20261013_074327.jsonl new file mode 100644 index 0000000..ab4170f --- /dev/null +++ b/results/detection_gemini-4-argon_high_20261013_074327.jsonl @@ -0,0 +1,250 @@ +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 0, "image": "Screenshot-2024-05-16-144612_png.rf.ae5a345319058fdba768605388143544.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [164, 258, 192, 289], \"label\": \"bullet hole\"},\n {\"box_2d\": [119, 833, 145, 861], \"label\": \"bullet hole\"},\n {\"box_2d\": [244, 272, 270, 300], \"label\": \"bullet hole\"},\n {\"box_2d\": [215, 549, 238, 579], \"label\": \"bullet hole\"},\n {\"box_2d\": [288, 547, 316, 577], \"label\": \"bullet hole\"},\n {\"box_2d\": [275, 834, 298, 859], \"label\": \"bullet hole\"},\n {\"box_2d\": [349, 286, 377, 316], \"label\": \"bullet hole\"},\n {\"box_2d\": [363, 548, 391, 577], \"label\": \"bullet hole\"},\n {\"box_2d\": [419, 293, 446, 323], \"label\": \"bullet hole\"},\n {\"box_2d\": [403, 761, 431, 790], \"label\": \"bullet hole\"},\n {\"box_2d\": [418, 968, 446, 999], \"label\": \"bullet hole\"},\n {\"box_2d\": [455, 892, 483, 922], \"label\": \"bullet hole\"},\n {\"box_2d\": [529, 966, 555, 997], \"label\": \"bullet hole\"},\n {\"box_2d\": [518, 825, 546, 855], \"label\": \"bullet hole\"},\n {\"box_2d\": [575, 886, 606, 917], \"label\": \"bullet hole\"},\n {\"box_2d\": [566, 464, 595, 495], \"label\": \"bullet hole\"},\n {\"box_2d\": [649, 391, 677, 424], \"label\": \"bullet hole\"},\n {\"box_2d\": [615, 72, 642, 99], \"label\": \"bullet hole\"},\n {\"box_2d\": [703, 308, 728, 336], \"label\": \"bullet hole\"},\n {\"box_2d\": [834, 40, 860, 72], \"label\": \"bullet hole\"},\n {\"box_2d\": [891, 155, 914, 185], \"label\": \"bullet hole\"},\n {\"box_2d\": [820, 230, 849, 260], \"label\": \"bullet hole\"},\n {\"box_2d\": [818, 457, 847, 489], \"label\": \"bullet hole\"},\n {\"box_2d\": [868, 427, 894, 460], \"label\": \"bullet hole\"},\n {\"box_2d\": [833, 573, 862, 606], \"label\": \"bullet hole\"},\n {\"box_2d\": [773, 703, 803, 735], \"label\": \"bullet hole\"},\n {\"box_2d\": [840, 891, 869, 921], \"label\": \"bullet hole\"},\n {\"box_2d\": [953, 686, 986, 721], \"label\": \"bullet hole\"},\n {\"box_2d\": [955, 888, 984, 920], \"label\": \"bullet hole\"}\n]\n```", "correct": false, "input_tokens": 1226, "output_tokens": 2866, "elapsed_seconds": 22.56469754106365, "metadata": {"match_method": "map", "num_predictions": 29, "num_ground_truth": 29, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7575964331626892, "attempts": 1, "retries": 0, "total_seconds": 22.5916}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 1, "image": "img_462887999701516572_png.rf.318af6a4e9ad42c15e8fcc520375ad9b.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [307, 252, 369, 368], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [351, 236, 417, 360], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [400, 215, 467, 349], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [452, 194, 522, 338], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [513, 177, 583, 328], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [577, 155, 650, 317], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [648, 129, 728, 300], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [725, 111, 820, 287], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [289, 368, 347, 476], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [332, 358, 395, 472], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [380, 349, 446, 469], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [432, 333, 500, 463], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [490, 323, 559, 461], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [552, 311, 623, 456], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [620, 292, 695, 447], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [693, 273, 782, 439], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [311, 470, 369, 578], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [358, 467, 419, 581], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [408, 456, 474, 581], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [464, 452, 531, 585], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [523, 444, 595, 585], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [589, 437, 661, 585], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [659, 427, 740, 583], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [734, 414, 830, 580], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [294, 574, 355, 687], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [339, 574, 402, 692], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [386, 572, 453, 695], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [441, 571, 509, 703], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [499, 573, 569, 713], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [564, 572, 636, 720], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [632, 569, 709, 726], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [705, 566, 799, 734], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [314, 681, 377, 801], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [360, 685, 427, 811], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [409, 687, 478, 824], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [466, 691, 537, 839], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [526, 696, 597, 856], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [593, 701, 666, 868], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [662, 709, 746, 886], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [739, 718, 835, 904], \"label\": \"full portable gas cylinder\"}\n]\n```", "correct": true, "input_tokens": 1217, "output_tokens": 2872, "elapsed_seconds": 30.51282425003592, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 40, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 30.8208}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 2, "image": "basketball-player-detection_boston-celtics-new-york-knicks-game-1-q1-03-16-03-11-0135_png.rf.87404d3bb76bef98d9e926e5ec1e2966.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [266, 291, 298, 307], \"label\": \"basketball\"},\n {\"box_2d\": [266, 298, 340, 337], \"label\": \"basket rim\"},\n {\"box_2d\": [275, 319, 620, 381], \"label\": \"player doing layup dunk\"},\n {\"box_2d\": [275, 319, 620, 381], \"label\": \"player\"},\n {\"box_2d\": [380, 285, 641, 386], \"label\": \"player\"},\n {\"box_2d\": [370, 370, 597, 434], \"label\": \"player\"},\n {\"box_2d\": [461, 411, 703, 487], \"label\": \"player\"},\n {\"box_2d\": [523, 453, 551, 463], \"label\": \"jersey number\"},\n {\"box_2d\": [631, 348, 901, 417], \"label\": \"player\"},\n {\"box_2d\": [702, 377, 735, 391], \"label\": \"jersey number\"},\n {\"box_2d\": [836, 411, 998, 471], \"label\": \"referee\"},\n {\"box_2d\": [898, 429, 924, 444], \"label\": \"jersey number\"},\n {\"box_2d\": [284, 265, 475, 305], \"label\": \"referee\"},\n {\"box_2d\": [273, 672, 502, 736], \"label\": \"player\"},\n {\"box_2d\": [339, 704, 360, 712], \"label\": \"jersey number\"},\n {\"box_2d\": [408, 799, 686, 852], \"label\": \"player\"},\n {\"box_2d\": [656, 725, 954, 821], \"label\": \"player\"},\n {\"box_2d\": [728, 777, 760, 801], \"label\": \"jersey number\"},\n {\"box_2d\": [746, 879, 997, 965], \"label\": \"player\"}\n]\n```", "correct": false, "input_tokens": 1256, "output_tokens": 2073, "elapsed_seconds": 20.288740499992855, "metadata": {"match_method": "map", "num_predictions": 19, "num_ground_truth": 19, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5159515738487244, "attempts": 1, "retries": 0, "total_seconds": 20.4287}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 3, "image": "fall-detection_all_mp4-1653_jpg.rf.9fa9a5ca42070b76929d3ba6ab91e945.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [467, 355, 537, 515], \"label\": \"fallen person\"},\n {\"box_2d\": [509, 431, 623, 591], \"label\": \"fallen person\"},\n {\"box_2d\": [420, 206, 485, 342], \"label\": \"fallen person\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 423, "elapsed_seconds": 6.26504304097034, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 6.2885}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 4, "image": "Screenshot-2024-05-16-150857_png.rf.d53edfaec65ba17dbc56ff856e70ed0d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 745, 19, 772], \"label\": \"bullet hole\"},\n {\"box_2d\": [26, 463, 52, 488], \"label\": \"bullet hole\"},\n {\"box_2d\": [59, 518, 86, 547], \"label\": \"bullet hole\"},\n {\"box_2d\": [70, 628, 97, 656], \"label\": \"bullet hole\"},\n {\"box_2d\": [111, 825, 141, 855], \"label\": \"bullet hole\"},\n {\"box_2d\": [209, 888, 237, 918], \"label\": \"bullet hole\"},\n {\"box_2d\": [161, 617, 190, 647], \"label\": \"bullet hole\"},\n {\"box_2d\": [119, 320, 150, 350], \"label\": \"bullet hole\"},\n {\"box_2d\": [138, 209, 166, 238], \"label\": \"bullet hole\"},\n {\"box_2d\": [293, 62, 325, 92], \"label\": \"bullet hole\"},\n {\"box_2d\": [469, 143, 500, 171], \"label\": \"bullet hole\"},\n {\"box_2d\": [338, 323, 367, 352], \"label\": \"bullet hole\"},\n {\"box_2d\": [437, 309, 467, 339], \"label\": \"bullet hole\"},\n {\"box_2d\": [520, 540, 550, 570], \"label\": \"bullet hole\"},\n {\"box_2d\": [436, 670, 466, 701], \"label\": \"bullet hole\"},\n {\"box_2d\": [614, 405, 646, 437], \"label\": \"bullet hole\"},\n {\"box_2d\": [682, 266, 713, 296], \"label\": \"bullet hole\"},\n {\"box_2d\": [779, 363, 811, 396], \"label\": \"bullet hole\"},\n {\"box_2d\": [709, 565, 741, 597], \"label\": \"bullet hole\"},\n {\"box_2d\": [690, 720, 721, 752], \"label\": \"bullet hole\"},\n {\"box_2d\": [408, 920, 437, 949], \"label\": \"bullet hole\"},\n {\"box_2d\": [546, 962, 576, 992], \"label\": \"bullet hole\"},\n {\"box_2d\": [608, 880, 639, 909], \"label\": \"bullet hole\"},\n {\"box_2d\": [811, 810, 839, 839], \"label\": \"bullet hole\"},\n {\"box_2d\": [921, 631, 951, 661], \"label\": \"bullet hole\"},\n {\"box_2d\": [985, 523, 1000, 552], \"label\": \"bullet hole\"},\n {\"box_2d\": [954, 976, 987, 1000], \"label\": \"bullet hole\"},\n {\"box_2d\": [799, 227, 832, 258], \"label\": \"bullet hole\"},\n {\"box_2d\": [890, 184, 921, 214], \"label\": \"bullet hole\"},\n {\"box_2d\": [982, 181, 1000, 210], \"label\": \"bullet hole\"},\n {\"box_2d\": [797, 0, 827, 19], \"label\": \"bullet hole\"},\n {\"box_2d\": [623, 0, 651, 22], \"label\": \"bullet hole\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 4213, "elapsed_seconds": 35.46845766704064, "metadata": {"match_method": "map", "num_predictions": 32, "num_ground_truth": 32, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 35.497}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 5, "image": "oil-tank-detection_oiltank_9_jpg.rf.acb372553a5f5f447313e4035eef562f.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [115, 96, 233, 204], \"label\": \"oil tank\"},\n {\"box_2d\": [111, 229, 229, 336], \"label\": \"oil tank\"},\n {\"box_2d\": [107, 362, 224, 469], \"label\": \"oil tank\"},\n {\"box_2d\": [100, 496, 217, 602], \"label\": \"oil tank\"},\n {\"box_2d\": [95, 628, 214, 735], \"label\": \"oil tank\"},\n {\"box_2d\": [91, 760, 208, 868], \"label\": \"oil tank\"},\n {\"box_2d\": [270, 99, 389, 208], \"label\": \"oil tank\"},\n {\"box_2d\": [263, 235, 382, 341], \"label\": \"oil tank\"},\n {\"box_2d\": [259, 368, 377, 474], \"label\": \"oil tank\"},\n {\"box_2d\": [251, 502, 372, 609], \"label\": \"oil tank\"},\n {\"box_2d\": [244, 634, 368, 742], \"label\": \"oil tank\"},\n {\"box_2d\": [239, 768, 360, 875], \"label\": \"oil tank\"},\n {\"box_2d\": [480, 96, 605, 209], \"label\": \"oil tank\"},\n {\"box_2d\": [477, 233, 601, 344], \"label\": \"oil tank\"},\n {\"box_2d\": [472, 367, 597, 480], \"label\": \"oil tank\"},\n {\"box_2d\": [468, 504, 592, 616], \"label\": \"oil tank\"},\n {\"box_2d\": [461, 639, 584, 751], \"label\": \"oil tank\"},\n {\"box_2d\": [626, 366, 755, 484], \"label\": \"oil tank\"},\n {\"box_2d\": [619, 508, 749, 621], \"label\": \"oil tank\"},\n {\"box_2d\": [613, 646, 742, 760], \"label\": \"oil tank\"}\n]\n```", "correct": true, "input_tokens": 1217, "output_tokens": 1895, "elapsed_seconds": 19.276027583982795, "metadata": {"match_method": "map", "num_predictions": 20, "num_ground_truth": 20, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 19.355}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 6, "image": "signatures_image_38_png_jpg.rf.1d9c4bd922f8563e58275de808cd3984.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [364, 745, 410, 931], \"label\": \"signature\"},\n {\"box_2d\": [439, 643, 469, 703], \"label\": \"signature\"},\n {\"box_2d\": [860, 758, 918, 949], \"label\": \"signature\"},\n {\"box_2d\": [951, 632, 982, 695], \"label\": \"signature\"}\n]\n```", "correct": true, "input_tokens": 1211, "output_tokens": 1827, "elapsed_seconds": 19.965841416968033, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 19.9965}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 7, "image": "1704193901210_jpg.rf.2395376f26cee29d85e60b22c59c37b4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [266, 411, 328, 470], \"label\": \"corn kernel\"},\n {\"box_2d\": [310, 527, 355, 600], \"label\": \"corn kernel\"},\n {\"box_2d\": [404, 316, 474, 372], \"label\": \"corn kernel\"},\n {\"box_2d\": [418, 617, 475, 681], \"label\": \"corn kernel\"},\n {\"box_2d\": [454, 783, 502, 845], \"label\": \"corn kernel\"},\n {\"box_2d\": [513, 770, 579, 813], \"label\": \"corn kernel\"},\n {\"box_2d\": [531, 654, 583, 728], \"label\": \"corn kernel\"},\n {\"box_2d\": [540, 425, 590, 490], \"label\": \"corn kernel\"},\n {\"box_2d\": [576, 263, 637, 305], \"label\": \"corn kernel\"},\n {\"box_2d\": [616, 563, 678, 611], \"label\": \"corn kernel\"},\n {\"box_2d\": [608, 748, 660, 807], \"label\": \"corn kernel\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 1186, "elapsed_seconds": 10.29463216708973, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 10.3143}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 8, "image": "IMG_0620_jpeg.rf.0c9c3b0a23079483a0b0e1651801d9a9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [288, 383, 368, 474], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [280, 511, 377, 583], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [284, 580, 391, 644], \"label\": \"caramel corn jelly bean\"},\n {\"box_2d\": [377, 263, 491, 329], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [396, 388, 501, 480], \"label\": \"peach jelly bean\"},\n {\"box_2d\": [381, 510, 488, 595], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [506, 330, 642, 414], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [488, 512, 613, 594], \"label\": \"peach jelly bean\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 1316, "elapsed_seconds": 15.51967008295469, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 15.5688}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 9, "image": "paper-parts_163482_102_jpg.rf.d878bfe8193ad78ee6e9bd012ea9324e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [92, 118, 108, 573], \"label\": \"subsection\"},\n {\"box_2d\": [127, 118, 142, 708], \"label\": \"paragraph\"},\n {\"box_2d\": [196, 334, 344, 668], \"label\": \"figure\"},\n {\"box_2d\": [368, 341, 383, 658], \"label\": \"figure caption\"},\n {\"box_2d\": [431, 118, 447, 493], \"label\": \"subsection\"},\n {\"box_2d\": [466, 118, 513, 862], \"label\": \"paragraph\"},\n {\"box_2d\": [529, 334, 566, 667], \"label\": \"equation\"},\n {\"box_2d\": [580, 421, 608, 579], \"label\": \"equation\"},\n {\"box_2d\": [623, 118, 638, 613], \"label\": \"paragraph\"},\n {\"box_2d\": [654, 338, 691, 663], \"label\": \"equation\"},\n {\"box_2d\": [706, 431, 734, 570], \"label\": \"equation\"},\n {\"box_2d\": [749, 118, 764, 548], \"label\": \"paragraph\"},\n {\"box_2d\": [779, 329, 816, 672], \"label\": \"equation\"},\n {\"box_2d\": [831, 431, 859, 570], \"label\": \"equation\"},\n {\"box_2d\": [922, 491, 937, 509], \"label\": \"page number\"}\n]\n```", "correct": true, "input_tokens": 1250, "output_tokens": 1873, "elapsed_seconds": 18.33632895804476, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 14, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 18.3801}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 10, "image": "20210325_203432_jpg.rf.8eb2129f7a101d085f4cb925da755682.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [103, 273, 310, 480], \"label\": \"50 euro cent coin\"},\n {\"box_2d\": [134, 613, 294, 773], \"label\": \"2 euro cent coin\"},\n {\"box_2d\": [288, 459, 457, 629], \"label\": \"10 euro cent coin\"},\n {\"box_2d\": [331, 657, 521, 849], \"label\": \"20 euro cent coin\"},\n {\"box_2d\": [375, 160, 576, 362], \"label\": \"1 euro coin\"},\n {\"box_2d\": [535, 417, 676, 557], \"label\": \"1 euro cent coin\"},\n {\"box_2d\": [700, 200, 882, 384], \"label\": \"5 euro cent coin\"},\n {\"box_2d\": [650, 541, 871, 764], \"label\": \"2 euro coin\"}\n]\n```", "correct": true, "input_tokens": 1272, "output_tokens": 905, "elapsed_seconds": 10.781774749979377, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 10.8128}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 11, "image": "2024-12-05T02-01-20-119Z-4010_jpg.rf.4f789285ff5c3a1889420326440bc9d1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [375, 483, 438, 531], \"label\": \"screw\"},\n {\"box_2d\": [457, 451, 617, 571], \"label\": \"wire hole\"},\n {\"box_2d\": [633, 490, 697, 538], \"label\": \"screw\"},\n {\"box_2d\": [693, 355, 738, 386], \"label\": \"screw\"},\n {\"box_2d\": [695, 615, 739, 646], \"label\": \"screw\"},\n {\"box_2d\": [829, 699, 909, 757], \"label\": \"screw\"}\n]\n```", "correct": true, "input_tokens": 1203, "output_tokens": 714, "elapsed_seconds": 10.041530541959219, "metadata": {"match_method": "map", "num_predictions": 6, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9326732158660889, "attempts": 1, "retries": 0, "total_seconds": 10.2609}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 12, "image": "Container-146_jpg.rf.1f5b3bfa7143f6b016b2b85ca3940e5c.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [158, 609, 203, 918], \"label\": \"shipping container number\"},\n {\"box_2d\": [213, 748, 252, 826], \"label\": \"container ISO type code\"}\n]\n```", "correct": true, "input_tokens": 1232, "output_tokens": 377, "elapsed_seconds": 6.102889665984549, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 6.1193}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 13, "image": "GP010248_JPG_jpg.rf.c2ac2602f1905971af1173c3ba311542.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [230, 300, 286, 496], \"label\": \"carrot\"},\n {\"box_2d\": [270, 279, 308, 459], \"label\": \"carrot\"},\n {\"box_2d\": [288, 179, 353, 412], \"label\": \"carrot\"},\n {\"box_2d\": [345, 118, 388, 357], \"label\": \"carrot\"},\n {\"box_2d\": [374, 145, 439, 341], \"label\": \"carrot\"},\n {\"box_2d\": [366, 39, 521, 149], \"label\": \"carrot\"},\n {\"box_2d\": [465, 29, 712, 141], \"label\": \"carrot\"},\n {\"box_2d\": [403, 120, 675, 189], \"label\": \"carrot\"},\n {\"box_2d\": [345, 226, 488, 442], \"label\": \"carrot\"},\n {\"box_2d\": [478, 188, 684, 276], \"label\": \"carrot\"},\n {\"box_2d\": [445, 224, 681, 329], \"label\": \"carrot\"},\n {\"box_2d\": [493, 263, 669, 366], \"label\": \"carrot\"},\n {\"box_2d\": [512, 339, 682, 381], \"label\": \"carrot\"},\n {\"box_2d\": [429, 372, 614, 412], \"label\": \"carrot\"},\n {\"box_2d\": [386, 368, 667, 454], \"label\": \"carrot\"},\n {\"box_2d\": [631, 278, 719, 474], \"label\": \"carrot\"},\n {\"box_2d\": [649, 416, 695, 585], \"label\": \"carrot\"},\n {\"box_2d\": [558, 472, 661, 672], \"label\": \"carrot\"},\n {\"box_2d\": [606, 569, 651, 718], \"label\": \"carrot\"},\n {\"box_2d\": [527, 450, 613, 574], \"label\": \"carrot\"},\n {\"box_2d\": [495, 449, 580, 597], \"label\": \"carrot\"},\n {\"box_2d\": [439, 565, 586, 710], \"label\": \"carrot\"},\n {\"box_2d\": [377, 441, 442, 622], \"label\": \"carrot\"},\n {\"box_2d\": [352, 478, 415, 683], \"label\": \"carrot\"},\n {\"box_2d\": [334, 545, 367, 716], \"label\": \"carrot\"},\n {\"box_2d\": [304, 470, 338, 688], \"label\": \"carrot\"},\n {\"box_2d\": [218, 613, 330, 761], \"label\": \"carrot\"},\n {\"box_2d\": [420, 659, 549, 797], \"label\": \"carrot\"},\n {\"box_2d\": [536, 707, 645, 848], \"label\": \"carrot\"},\n {\"box_2d\": [242, 757, 474, 825], \"label\": \"carrot\"},\n {\"box_2d\": [352, 791, 579, 932], \"label\": \"carrot\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 2995, "elapsed_seconds": 24.367194000049494, "metadata": {"match_method": "map", "num_predictions": 31, "num_ground_truth": 31, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 24.393}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 14, "image": "DJI_20230529095953_0646_T_JPG_jpg.rf.9806615efd3123cda770b6e1a3358930.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [231, 56, 251, 72], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [221, 146, 242, 162], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [180, 618, 201, 635], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [175, 663, 198, 679], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [583, 368, 604, 383], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [574, 458, 597, 474], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [570, 503, 592, 519], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [556, 638, 579, 654], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [554, 684, 576, 699], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [546, 789, 566, 804], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [926, 813, 949, 830], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [922, 858, 944, 874], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [974, 354, 994, 370], \"label\": \"solar panel hot spot\"}\n]\n```", "correct": true, "input_tokens": 1228, "output_tokens": 1535, "elapsed_seconds": 13.652250124956481, "metadata": {"match_method": "map", "num_predictions": 13, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8613861203193665, "attempts": 1, "retries": 0, "total_seconds": 13.6755}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 15, "image": "floorplan-windows-doors_1036_png.rf.377e8848ebf77a1b3fd4e54e9aaa327d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [161, 102, 184, 243], \"label\": \"window\"},\n {\"box_2d\": [163, 300, 185, 365], \"label\": \"window\"},\n {\"box_2d\": [108, 362, 249, 449], \"label\": \"door\"},\n {\"box_2d\": [167, 574, 188, 620], \"label\": \"window\"},\n {\"box_2d\": [170, 777, 190, 842], \"label\": \"window\"},\n {\"box_2d\": [113, 839, 255, 926], \"label\": \"door\"},\n {\"box_2d\": [328, 585, 382, 645], \"label\": \"door\"},\n {\"box_2d\": [318, 703, 382, 849], \"label\": \"door\"},\n {\"box_2d\": [441, 210, 504, 290], \"label\": \"door\"},\n {\"box_2d\": [491, 672, 553, 756], \"label\": \"door\"},\n {\"box_2d\": [550, 673, 616, 760], \"label\": \"door\"},\n {\"box_2d\": [654, 531, 720, 606], \"label\": \"door\"},\n {\"box_2d\": [768, 148, 789, 290], \"label\": \"window\"},\n {\"box_2d\": [770, 365, 845, 451], \"label\": \"door\"},\n {\"box_2d\": [768, 574, 789, 619], \"label\": \"window\"},\n {\"box_2d\": [771, 728, 793, 845], \"label\": \"window\"}\n]\n```", "correct": true, "input_tokens": 1211, "output_tokens": 3092, "elapsed_seconds": 31.33806116692722, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 19, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.827282726764679, "attempts": 1, "retries": 0, "total_seconds": 31.407}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 16, "image": "IMG_4942_JPG.rf.2d54601c43bd5fdd67c9d6de8428a9ef.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [298, 528, 316, 538], \"label\": \"face\"},\n {\"box_2d\": [300, 556, 317, 566], \"label\": \"face\"},\n {\"box_2d\": [301, 613, 318, 622], \"label\": \"face\"},\n {\"box_2d\": [297, 639, 316, 649], \"label\": \"face\"},\n {\"box_2d\": [333, 661, 352, 671], \"label\": \"face\"},\n {\"box_2d\": [346, 692, 365, 702], \"label\": \"face\"},\n {\"box_2d\": [352, 731, 371, 742], \"label\": \"face\"},\n {\"box_2d\": [360, 755, 380, 766], \"label\": \"face\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 1027, "elapsed_seconds": 15.183692875085399, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 9, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8811880946159363, "attempts": 1, "retries": 0, "total_seconds": 15.6962}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 17, "image": "4103433_ContLeftUpper_f_jpg.rf.c38c0a22d926bfd30646b27374a1f854.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [270, 104, 306, 125], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [316, 103, 342, 125], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [377, 102, 411, 126], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [269, 180, 322, 203], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [379, 180, 411, 205], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [325, 260, 353, 283], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [385, 259, 412, 283], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [272, 338, 298, 362], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [327, 338, 355, 362], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [389, 338, 415, 362], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [392, 417, 416, 442], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [395, 496, 421, 519], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [444, 693, 467, 718], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [487, 25, 509, 46], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [584, 98, 613, 129], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [592, 171, 618, 200], \"label\": \"shipping container wall dent\"}\n]\n```", "correct": false, "input_tokens": 1224, "output_tokens": 2958, "elapsed_seconds": 29.871880624908954, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.006300630047917366, "attempts": 1, "retries": 0, "total_seconds": 30.0092}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 18, "image": "a9f16c_8_1_png_jpg.rf.21f65c07fc1fd4b937623a9b2c4bf919.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [396, 22, 439, 39], \"label\": \"goalkeeper\"},\n {\"box_2d\": [344, 978, 386, 992], \"label\": \"goalkeeper\"},\n {\"box_2d\": [410, 401, 450, 417], \"label\": \"referee\"},\n {\"box_2d\": [853, 956, 935, 979], \"label\": \"referee\"},\n {\"box_2d\": [644, 560, 655, 567], \"label\": \"football\"},\n {\"box_2d\": [821, 279, 890, 301], \"label\": \"player\"},\n {\"box_2d\": [645, 279, 708, 299], \"label\": \"player\"},\n {\"box_2d\": [551, 189, 602, 213], \"label\": \"player\"},\n {\"box_2d\": [540, 206, 588, 228], \"label\": \"player\"},\n {\"box_2d\": [473, 206, 524, 226], \"label\": \"player\"},\n {\"box_2d\": [416, 231, 459, 246], \"label\": \"player\"},\n {\"box_2d\": [421, 287, 463, 303], \"label\": \"player\"},\n {\"box_2d\": [345, 271, 386, 284], \"label\": \"player\"},\n {\"box_2d\": [340, 297, 378, 309], \"label\": \"player\"},\n {\"box_2d\": [272, 326, 308, 338], \"label\": \"player\"},\n {\"box_2d\": [238, 408, 268, 416], \"label\": \"player\"},\n {\"box_2d\": [308, 449, 349, 461], \"label\": \"player\"},\n {\"box_2d\": [304, 468, 341, 478], \"label\": \"player\"},\n {\"box_2d\": [440, 403, 492, 419], \"label\": \"player\"},\n {\"box_2d\": [374, 534, 414, 545], \"label\": \"player\"},\n {\"box_2d\": [424, 524, 469, 533], \"label\": \"player\"},\n {\"box_2d\": [500, 514, 554, 528], \"label\": \"player\"},\n {\"box_2d\": [593, 562, 652, 586], \"label\": \"player\"},\n {\"box_2d\": [246, 647, 274, 655], \"label\": \"player\"},\n {\"box_2d\": [338, 729, 378, 740], \"label\": \"player\"}\n]\n```", "correct": true, "input_tokens": 1242, "output_tokens": 3791, "elapsed_seconds": 33.36553933296818, "metadata": {"match_method": "map", "num_predictions": 25, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9158415794372559, "attempts": 1, "retries": 0, "total_seconds": 33.4879}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 19, "image": "20230220_113558_jpg.rf.d5df52cc566f78f19b292c4a237d076c.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [759, 438, 955, 462], \"label\": \"crack\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 312, "elapsed_seconds": 5.714379083015956, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 5.734}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 20, "image": "frame_0277_jpg.rf.c6aa8dac950a9954eaaa15c2c1350db2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [11, 128, 69, 171], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [193, 127, 258, 175], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [333, 88, 405, 134], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 241, 35, 270], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 268, 39, 300], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 301, 45, 338], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [134, 245, 195, 289], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [283, 237, 356, 281], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [443, 226, 524, 270], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [855, 216, 940, 265], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [31, 358, 86, 393], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [255, 367, 323, 407], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [1, 410, 47, 439], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 447, 50, 482], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [54, 429, 123, 465], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [165, 432, 225, 468], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [333, 454, 405, 493], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [403, 465, 468, 508], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [604, 436, 677, 483], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [865, 493, 916, 538], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [6, 494, 51, 528], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [30, 525, 94, 560], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [208, 531, 273, 572], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [308, 545, 368, 579], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [449, 584, 511, 622], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [541, 552, 624, 592], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [4, 540, 47, 567], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 564, 52, 593], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [94, 626, 149, 659], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [210, 639, 274, 673], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [326, 655, 391, 691], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [456, 674, 515, 712], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [628, 688, 665, 733], \"label\": \"garlic on conveyor\"}\n]\n```", "correct": false, "input_tokens": 1238, "output_tokens": 3258, "elapsed_seconds": 30.16860024991911, "metadata": {"match_method": "map", "num_predictions": 33, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7638763785362244, "attempts": 1, "retries": 0, "total_seconds": 30.303}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 21, "image": "construction-safety_ppe_0034_jpg.rf.38e91c4daafe26a0be27d2c1133af960.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [309, 77, 916, 200], \"label\": \"person\"},\n {\"box_2d\": [309, 134, 355, 182], \"label\": \"safety helmet\"},\n {\"box_2d\": [405, 97, 610, 195], \"label\": \"safety vest\"},\n {\"box_2d\": [374, 190, 918, 299], \"label\": \"person\"},\n {\"box_2d\": [374, 226, 418, 272], \"label\": \"safety helmet\"},\n {\"box_2d\": [460, 190, 672, 289], \"label\": \"safety vest\"},\n {\"box_2d\": [386, 290, 912, 386], \"label\": \"person\"},\n {\"box_2d\": [386, 321, 434, 366], \"label\": \"safety helmet\"},\n {\"box_2d\": [474, 291, 676, 384], \"label\": \"safety vest\"},\n {\"box_2d\": [382, 391, 908, 487], \"label\": \"person\"},\n {\"box_2d\": [382, 417, 433, 460], \"label\": \"safety helmet\"},\n {\"box_2d\": [465, 391, 718, 487], \"label\": \"safety vest\"},\n {\"box_2d\": [411, 479, 905, 560], \"label\": \"person\"},\n {\"box_2d\": [411, 501, 460, 545], \"label\": \"safety helmet\"},\n {\"box_2d\": [499, 483, 706, 560], \"label\": \"safety vest\"},\n {\"box_2d\": [372, 540, 905, 646], \"label\": \"person\"},\n {\"box_2d\": [372, 569, 412, 610], \"label\": \"safety helmet\"},\n {\"box_2d\": [449, 549, 691, 645], \"label\": \"safety vest\"},\n {\"box_2d\": [388, 631, 908, 731], \"label\": \"person\"},\n {\"box_2d\": [388, 661, 430, 702], \"label\": \"safety helmet\"},\n {\"box_2d\": [469, 645, 659, 730], \"label\": \"safety vest\"},\n {\"box_2d\": [366, 709, 911, 822], \"label\": \"person\"},\n {\"box_2d\": [366, 735, 408, 779], \"label\": \"safety helmet\"},\n {\"box_2d\": [450, 719, 643, 813], \"label\": \"safety vest\"},\n {\"box_2d\": [340, 807, 911, 922], \"label\": \"person\"},\n {\"box_2d\": [340, 832, 383, 878], \"label\": \"safety helmet\"},\n {\"box_2d\": [418, 824, 625, 911], \"label\": \"safety vest\"}\n]\n```", "correct": true, "input_tokens": 1222, "output_tokens": 1856, "elapsed_seconds": 15.903433082974516, "metadata": {"match_method": "map", "num_predictions": 27, "num_ground_truth": 27, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 15.9971}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 22, "image": "2024-12-05T02-00-55-647Z-1001_jpg.rf.c0a64fec0c1e44672b8338dc3d88f40e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [264, 675, 341, 732], \"label\": \"screw\"},\n {\"box_2d\": [521, 678, 596, 735], \"label\": \"screw\"},\n {\"box_2d\": [428, 539, 500, 592], \"label\": \"cable screw\"},\n {\"box_2d\": [592, 308, 735, 405], \"label\": \"wire hole\"}\n]\n```", "correct": false, "input_tokens": 1206, "output_tokens": 1077, "elapsed_seconds": 13.534089958062395, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6666666269302368, "attempts": 1, "retries": 0, "total_seconds": 13.8484}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 23, "image": "uav20221018_ixfZ_3857_391_png.rf.363cfc1a99bee6043b1535d35e5cf8f5.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 245, 42, 286], \"label\": \"banana tree\"},\n {\"box_2d\": [35, 303, 72, 336], \"label\": \"banana tree\"},\n {\"box_2d\": [70, 247, 110, 279], \"label\": \"banana tree\"},\n {\"box_2d\": [0, 551, 22, 581], \"label\": \"banana tree\"},\n {\"box_2d\": [22, 504, 59, 536], \"label\": \"banana tree\"},\n {\"box_2d\": [61, 556, 97, 583], \"label\": \"banana tree\"},\n {\"box_2d\": [128, 556, 165, 591], \"label\": \"banana tree\"},\n {\"box_2d\": [157, 497, 207, 536], \"label\": \"banana tree\"},\n {\"box_2d\": [194, 543, 245, 586], \"label\": \"banana tree\"},\n {\"box_2d\": [226, 493, 272, 531], \"label\": \"banana tree\"},\n {\"box_2d\": [272, 546, 315, 579], \"label\": \"banana tree\"},\n {\"box_2d\": [302, 501, 344, 536], \"label\": \"banana tree\"},\n {\"box_2d\": [339, 551, 376, 591], \"label\": \"banana tree\"},\n {\"box_2d\": [368, 495, 415, 543], \"label\": \"banana tree\"},\n {\"box_2d\": [410, 549, 449, 587], \"label\": \"banana tree\"},\n {\"box_2d\": [438, 498, 481, 531], \"label\": \"banana tree\"},\n {\"box_2d\": [0, 731, 32, 769], \"label\": \"banana tree\"},\n {\"box_2d\": [20, 795, 65, 833], \"label\": \"banana tree\"},\n {\"box_2d\": [60, 725, 102, 769], \"label\": \"banana tree\"},\n {\"box_2d\": [91, 797, 134, 829], \"label\": \"banana tree\"},\n {\"box_2d\": [127, 735, 174, 773], \"label\": \"banana tree\"},\n {\"box_2d\": [158, 791, 206, 831], \"label\": \"banana tree\"},\n {\"box_2d\": [200, 736, 237, 770], \"label\": \"banana tree\"},\n {\"box_2d\": [232, 798, 272, 832], \"label\": \"banana tree\"},\n {\"box_2d\": [269, 735, 311, 770], \"label\": \"banana tree\"},\n {\"box_2d\": [307, 800, 346, 835], \"label\": \"banana tree\"},\n {\"box_2d\": [340, 732, 381, 775], \"label\": \"banana tree\"},\n {\"box_2d\": [373, 796, 418, 832], \"label\": \"banana tree\"},\n {\"box_2d\": [406, 739, 448, 777], \"label\": \"banana tree\"},\n {\"box_2d\": [432, 797, 480, 840], \"label\": \"banana tree\"},\n {\"box_2d\": [476, 737, 521, 779], \"label\": \"banana tree\"},\n {\"box_2d\": [503, 802, 550, 830], \"label\": \"banana tree\"},\n {\"box_2d\": [544, 742, 584, 786], \"label\": \"banana tree\"},\n {\"box_2d\": [581, 794, 628, 841], \"label\": \"banana tree\"},\n {\"box_2d\": [612, 746, 653, 787], \"label\": \"banana tree\"},\n {\"box_2d\": [649, 797, 695, 843], \"label\": \"banana tree\"},\n {\"box_2d\": [678, 736, 728, 789], \"label\": \"banana tree\"},\n {\"box_2d\": [711, 801, 756, 845], \"label\": \"banana tree\"},\n {\"box_2d\": [751, 749, 792, 786], \"label\": \"banana tree\"},\n {\"box_2d\": [755, 794, 811, 836], \"label\": \"banana tree\"},\n {\"box_2d\": [28, 977, 70, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [100, 978, 139, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [172, 980, 211, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [242, 983, 279, 1000], \"label\": \"banana tree\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 2766, "elapsed_seconds": 23.3960582499858, "metadata": {"match_method": "map", "num_predictions": 44, "num_ground_truth": 43, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9993249177932739, "attempts": 1, "retries": 0, "total_seconds": 23.4979}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 24, "image": "fabric-defect_511_jpg.rf.c9746a1a958e01686335a4e0e7bec57c.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [418, 404, 569, 486], \"label\": \"fabric cut\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 275, "elapsed_seconds": 5.140800375025719, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 5.1541}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 25, "image": "z4517190691608_e13e5a7742dfd1e1497d7f34e43b9a19_jpg.rf.53f3adf34b3bcf75125b6512855911b0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [91, 326, 192, 479], \"label\": \"5 poker chip\"},\n {\"box_2d\": [128, 487, 234, 643], \"label\": \"5 poker chip\"},\n {\"box_2d\": [187, 349, 294, 506], \"label\": \"5 poker chip\"},\n {\"box_2d\": [195, 169, 303, 326], \"label\": \"5 poker chip\"},\n {\"box_2d\": [245, 481, 355, 642], \"label\": \"10 poker chip\"},\n {\"box_2d\": [526, 309, 659, 485], \"label\": \"10 poker chip\"},\n {\"box_2d\": [191, 648, 298, 811], \"label\": \"20 poker chip\"},\n {\"box_2d\": [349, 517, 467, 684], \"label\": \"20 poker chip\"},\n {\"box_2d\": [372, 353, 490, 519], \"label\": \"20 poker chip\"},\n {\"box_2d\": [461, 459, 586, 632], \"label\": \"20 poker chip\"},\n {\"box_2d\": [585, 482, 725, 666], \"label\": \"20 poker chip\"},\n {\"box_2d\": [663, 295, 810, 481], \"label\": \"20 poker chip\"},\n {\"box_2d\": [298, 672, 417, 843], \"label\": \"50 poker chip\"},\n {\"box_2d\": [591, 148, 731, 330], \"label\": \"50 poker chip\"},\n {\"box_2d\": [733, 454, 888, 648], \"label\": \"50 poker chip\"},\n {\"box_2d\": [757, 656, 916, 853], \"label\": \"50 poker chip\"},\n {\"box_2d\": [346, 111, 465, 276], \"label\": \"100 poker chip\"},\n {\"box_2d\": [433, 206, 558, 376], \"label\": \"100 poker chip\"},\n {\"box_2d\": [279, 274, 391, 434], \"label\": \"500 poker chip\"},\n {\"box_2d\": [615, 718, 759, 908], \"label\": \"500 poker chip\"},\n {\"box_2d\": [494, 635, 628, 819], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [430, 822, 559, 1000], \"label\": \"5000 poker chip\"}\n]\n```", "correct": true, "input_tokens": 1251, "output_tokens": 2376, "elapsed_seconds": 22.213372958940454, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 22.5084}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 26, "image": "floorplan-windows-doors_10156_png.rf.46b4865a81b54b57dfa53b894c0a0632.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [208, 297, 323, 359], \"label\": \"door\"},\n {\"box_2d\": [253, 240, 272, 298], \"label\": \"window\"},\n {\"box_2d\": [254, 369, 273, 474], \"label\": \"window\"},\n {\"box_2d\": [254, 646, 273, 747], \"label\": \"window\"},\n {\"box_2d\": [256, 816, 274, 860], \"label\": \"window\"},\n {\"box_2d\": [388, 807, 433, 853], \"label\": \"door\"},\n {\"box_2d\": [451, 741, 506, 801], \"label\": \"door\"},\n {\"box_2d\": [529, 751, 577, 805], \"label\": \"door\"},\n {\"box_2d\": [624, 741, 681, 802], \"label\": \"door\"},\n {\"box_2d\": [695, 234, 740, 283], \"label\": \"door\"},\n {\"box_2d\": [735, 296, 795, 359], \"label\": \"door\"},\n {\"box_2d\": [819, 295, 885, 358], \"label\": \"door\"},\n {\"box_2d\": [819, 389, 838, 491], \"label\": \"window\"},\n {\"box_2d\": [819, 649, 837, 749], \"label\": \"window\"},\n {\"box_2d\": [820, 782, 838, 839], \"label\": \"window\"},\n {\"box_2d\": [911, 266, 965, 329], \"label\": \"door\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 2491, "elapsed_seconds": 23.500468750018626, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 17, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9504950642585754, "attempts": 1, "retries": 0, "total_seconds": 23.5623}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 27, "image": "fabric-defect_323_jpg.rf.371f41f855eb62c4f2068f1bac0ca297.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [74, 590, 139, 638], \"label\": \"fabric cut\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 2079, "elapsed_seconds": 26.6613224579487, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 26.6727}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 28, "image": "54_png.rf.e797ccd3ab1732fcc95dc8f12eac1e73.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [199, 78, 303, 137], \"label\": \"not gate symbol\"},\n {\"box_2d\": [199, 178, 303, 237], \"label\": \"not gate symbol\"},\n {\"box_2d\": [199, 279, 303, 338], \"label\": \"not gate symbol\"},\n {\"box_2d\": [199, 379, 303, 437], \"label\": \"not gate symbol\"},\n {\"box_2d\": [311, 513, 434, 613], \"label\": \"and gate symbol\"},\n {\"box_2d\": [454, 513, 576, 614], \"label\": \"and gate symbol\"},\n {\"box_2d\": [595, 513, 718, 614], \"label\": \"and gate symbol\"},\n {\"box_2d\": [735, 513, 860, 614], \"label\": \"and gate symbol\"},\n {\"box_2d\": [382, 660, 505, 759], \"label\": \"or gate symbol\"},\n {\"box_2d\": [666, 659, 789, 759], \"label\": \"or gate symbol\"},\n {\"box_2d\": [523, 805, 646, 905], \"label\": \"and gate symbol\"}\n]\n```", "correct": true, "input_tokens": 1212, "output_tokens": 1190, "elapsed_seconds": 10.737923500011675, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 10.7436}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 29, "image": "IMG_3802_JPG.rf.a7e888d2c6d99ef929355eb2fffb322e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [474, 380, 506, 396], \"label\": \"face\"},\n {\"box_2d\": [480, 436, 513, 452], \"label\": \"face\"},\n {\"box_2d\": [438, 524, 468, 539], \"label\": \"face\"},\n {\"box_2d\": [303, 338, 327, 350], \"label\": \"face\"},\n {\"box_2d\": [312, 360, 335, 372], \"label\": \"face\"},\n {\"box_2d\": [233, 414, 251, 424], \"label\": \"face\"},\n {\"box_2d\": [238, 439, 256, 449], \"label\": \"face\"},\n {\"box_2d\": [250, 497, 269, 507], \"label\": \"face\"},\n {\"box_2d\": [251, 429, 272, 440], \"label\": \"face\"},\n {\"box_2d\": [197, 249, 219, 261], \"label\": \"face\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 1603, "elapsed_seconds": 20.114407041925006, "metadata": {"match_method": "map", "num_predictions": 10, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7227723002433777, "attempts": 1, "retries": 0, "total_seconds": 20.6035}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 30, "image": "DJI_20230529112019_0221_T_JPG_jpg.rf.8e72d3393da7d92494fccfb7bb75bfc8.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [72, 160, 91, 178], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [80, 200, 99, 218], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [88, 241, 105, 257], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [167, 663, 186, 680], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [175, 704, 194, 722], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [184, 745, 200, 761], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [106, 837, 125, 853], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [113, 875, 135, 893], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [210, 865, 228, 882], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [522, 656, 542, 675], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [530, 697, 548, 715], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [538, 738, 557, 756], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [545, 779, 564, 796], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [552, 819, 569, 836], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [856, 536, 875, 553], \"label\": \"solar panel hot spot\"}\n]\n```", "correct": true, "input_tokens": 1228, "output_tokens": 1681, "elapsed_seconds": 17.143677292042412, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 17, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8811880946159363, "attempts": 1, "retries": 0, "total_seconds": 17.1659}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 31, "image": "Atlantic_2025_NCPT-189_JPG_jpg.rf.7a382ad19f3061fc65305d93b2678aef.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [128, 251, 217, 286], \"label\": \"potato\"},\n {\"box_2d\": [14, 300, 77, 326], \"label\": \"potato\"},\n {\"box_2d\": [119, 296, 184, 323], \"label\": \"potato\"},\n {\"box_2d\": [353, 284, 446, 328], \"label\": \"potato\"},\n {\"box_2d\": [446, 288, 533, 325], \"label\": \"potato\"},\n {\"box_2d\": [550, 283, 649, 329], \"label\": \"potato\"},\n {\"box_2d\": [657, 289, 722, 316], \"label\": \"potato\"},\n {\"box_2d\": [722, 281, 833, 321], \"label\": \"potato\"},\n {\"box_2d\": [833, 287, 899, 315], \"label\": \"potato\"},\n {\"box_2d\": [9, 339, 93, 370], \"label\": \"potato\"},\n {\"box_2d\": [134, 336, 217, 371], \"label\": \"potato\"},\n {\"box_2d\": [217, 341, 280, 366], \"label\": \"potato\"},\n {\"box_2d\": [343, 336, 437, 370], \"label\": \"potato\"},\n {\"box_2d\": [437, 337, 502, 364], \"label\": \"potato\"},\n {\"box_2d\": [502, 328, 608, 371], \"label\": \"potato\"},\n {\"box_2d\": [621, 334, 687, 362], \"label\": \"potato\"},\n {\"box_2d\": [691, 336, 761, 361], \"label\": \"potato\"},\n {\"box_2d\": [777, 331, 864, 369], \"label\": \"potato\"},\n {\"box_2d\": [20, 384, 108, 417], \"label\": \"potato\"},\n {\"box_2d\": [160, 382, 232, 415], \"label\": \"potato\"},\n {\"box_2d\": [231, 383, 288, 409], \"label\": \"potato\"},\n {\"box_2d\": [286, 374, 391, 413], \"label\": \"potato\"},\n {\"box_2d\": [398, 380, 482, 415], \"label\": \"potato\"},\n {\"box_2d\": [477, 375, 570, 410], \"label\": \"potato\"},\n {\"box_2d\": [582, 372, 669, 412], \"label\": \"potato\"},\n {\"box_2d\": [757, 373, 842, 408], \"label\": \"potato\"},\n {\"box_2d\": [7, 426, 86, 459], \"label\": \"potato\"},\n {\"box_2d\": [102, 420, 200, 459], \"label\": \"potato\"},\n {\"box_2d\": [215, 408, 322, 459], \"label\": \"potato\"},\n {\"box_2d\": [318, 426, 384, 454], \"label\": \"potato\"},\n {\"box_2d\": [401, 414, 511, 457], \"label\": \"potato\"},\n {\"box_2d\": [581, 415, 689, 455], \"label\": \"potato\"},\n {\"box_2d\": [749, 419, 829, 448], \"label\": \"potato\"},\n {\"box_2d\": [919, 417, 1000, 453], \"label\": \"potato\"},\n {\"box_2d\": [6, 472, 83, 504], \"label\": \"potato\"},\n {\"box_2d\": [81, 471, 155, 502], \"label\": \"potato\"},\n {\"box_2d\": [155, 466, 267, 508], \"label\": \"potato\"},\n {\"box_2d\": [267, 463, 367, 506], \"label\": \"potato\"},\n {\"box_2d\": [366, 464, 452, 502], \"label\": \"potato\"},\n {\"box_2d\": [457, 465, 545, 496], \"label\": \"potato\"},\n {\"box_2d\": [586, 463, 679, 499], \"label\": \"potato\"},\n {\"box_2d\": [693, 467, 755, 492], \"label\": \"potato\"},\n {\"box_2d\": [844, 461, 926, 494], \"label\": \"potato\"},\n {\"box_2d\": [7, 516, 73, 545], \"label\": \"potato\"},\n {\"box_2d\": [71, 511, 146, 546], \"label\": \"potato\"},\n {\"box_2d\": [145, 513, 245, 547], \"label\": \"potato\"},\n {\"box_2d\": [253, 511, 363, 553], \"label\": \"potato\"},\n {\"box_2d\": [357, 511, 447, 546], \"label\": \"potato\"},\n {\"box_2d\": [471, 500, 578, 544], \"label\": \"potato\"},\n {\"box_2d\": [577, 507, 684, 552], \"label\": \"potato\"},\n {\"box_2d\": [865, 505, 952, 538], \"label\": \"potato\"},\n {\"box_2d\": [195, 552, 291, 592], \"label\": \"potato\"},\n {\"box_2d\": [290, 557, 366, 590], \"label\": \"potato\"},\n {\"box_2d\": [368, 550, 484, 605], \"label\": \"potato\"},\n {\"box_2d\": [481, 552, 570, 587], \"label\": \"potato\"},\n {\"box_2d\": [664, 551, 772, 593], \"label\": \"potato\"},\n {\"box_2d\": [8, 606, 81, 635], \"label\": \"potato\"},\n {\"box_2d\": [116, 598, 219, 640], \"label\": \"potato\"},\n {\"box_2d\": [377, 601, 474, 639], \"label\": \"potato\"},\n {\"box_2d\": [506, 595, 616, 636], \"label\": \"potato\"},\n {\"box_2d\": [736, 591, 837, 626], \"label\": \"potato\"},\n {\"box_2d\": [146, 639, 250, 682], \"label\": \"potato\"},\n {\"box_2d\": [267, 645, 335, 674], \"label\": \"potato\"},\n {\"box_2d\": [479, 635, 599, 677], \"label\": \"potato\"},\n {\"box_2d\": [96, 685, 178, 721], \"label\": \"potato\"},\n {\"box_2d\": [211, 688, 318, 725], \"label\": \"potato\"},\n {\"box_2d\": [318, 680, 431, 726], \"label\": \"potato\"},\n {\"box_2d\": [689, 680, 795, 718], \"label\": \"potato\"},\n {\"box_2d\": [24, 728, 117, 770], \"label\": \"potato\"},\n {\"box_2d\": [124, 734, 184, 761], \"label\": \"potato\"},\n {\"box_2d\": [301, 731, 384, 763], \"label\": \"potato\"},\n {\"box_2d\": [443, 724, 538, 763], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 4675, "elapsed_seconds": 40.21237279102206, "metadata": {"match_method": "map", "num_predictions": 72, "num_ground_truth": 72, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 40.9351}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 32, "image": "V000078_0_0_jpeg_jpg.rf.ea93b54e17810ab845506f60bf69b7dd.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [163, 342, 212, 439], \"label\": \"surface roughness symbol\"},\n {\"box_2d\": [124, 646, 330, 896], \"label\": \"dimension annotation\"},\n {\"box_2d\": [153, 697, 307, 926], \"label\": \"dimension annotation\"},\n {\"box_2d\": [288, 695, 381, 822], \"label\": \"dimension annotation\"},\n {\"box_2d\": [270, 170, 323, 234], \"label\": \"dimension annotation\"},\n {\"box_2d\": [279, 237, 323, 435], \"label\": \"dimension annotation\"},\n {\"box_2d\": [294, 432, 323, 483], \"label\": \"dimension annotation\"},\n {\"box_2d\": [294, 490, 323, 566], \"label\": \"dimension annotation\"},\n {\"box_2d\": [270, 170, 371, 484], \"label\": \"dimension annotation\"},\n {\"box_2d\": [338, 464, 371, 550], \"label\": \"dimension annotation\"},\n {\"box_2d\": [443, 136, 488, 258], \"label\": \"dimension annotation\"},\n {\"box_2d\": [443, 220, 482, 300], \"label\": \"dimension annotation\"},\n {\"box_2d\": [494, 126, 531, 166], \"label\": \"dimension annotation\"},\n {\"box_2d\": [503, 185, 585, 214], \"label\": \"dimension annotation\"},\n {\"box_2d\": [478, 297, 577, 334], \"label\": \"dimension annotation\"},\n {\"box_2d\": [442, 502, 465, 597], \"label\": \"dimension annotation\"},\n {\"box_2d\": [469, 565, 556, 626], \"label\": \"dimension annotation\"},\n {\"box_2d\": [800, 94, 967, 954], \"label\": \"technical drawing table\"}\n]\n```", "correct": false, "input_tokens": 1237, "output_tokens": 2120, "elapsed_seconds": 20.447420667042024, "metadata": {"match_method": "map", "num_predictions": 18, "num_ground_truth": 18, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.666666567325592, "attempts": 1, "retries": 0, "total_seconds": 20.4634}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 33, "image": "1226_8_jpg.rf.ca0a21572938b5c31e601cfcbf119e1e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [18, 22, 118, 120], \"label\": \"black rook\"},\n {\"box_2d\": [0, 138, 96, 245], \"label\": \"black knight\"},\n {\"box_2d\": [36, 263, 134, 355], \"label\": \"black bishop\"},\n {\"box_2d\": [9, 400, 129, 491], \"label\": \"black king\"},\n {\"box_2d\": [8, 530, 126, 620], \"label\": \"black queen\"},\n {\"box_2d\": [18, 896, 116, 1000], \"label\": \"black rook\"},\n {\"box_2d\": [140, 44, 214, 121], \"label\": \"black pawn\"},\n {\"box_2d\": [162, 650, 235, 724], \"label\": \"black pawn\"},\n {\"box_2d\": [168, 763, 242, 839], \"label\": \"black pawn\"},\n {\"box_2d\": [178, 913, 250, 997], \"label\": \"black pawn\"},\n {\"box_2d\": [281, 287, 353, 359], \"label\": \"black pawn\"},\n {\"box_2d\": [285, 398, 376, 488], \"label\": \"black bishop\"},\n {\"box_2d\": [425, 537, 496, 608], \"label\": \"black pawn\"},\n {\"box_2d\": [410, 893, 491, 1000], \"label\": \"black knight\"},\n {\"box_2d\": [522, 294, 594, 366], \"label\": \"white pawn\"},\n {\"box_2d\": [552, 759, 624, 835], \"label\": \"white pawn\"},\n {\"box_2d\": [642, 400, 715, 472], \"label\": \"white pawn\"},\n {\"box_2d\": [630, 640, 711, 745], \"label\": \"white knight\"},\n {\"box_2d\": [756, 55, 830, 134], \"label\": \"white pawn\"},\n {\"box_2d\": [767, 169, 842, 244], \"label\": \"white pawn\"},\n {\"box_2d\": [786, 640, 862, 715], \"label\": \"white pawn\"},\n {\"box_2d\": [772, 890, 847, 973], \"label\": \"white pawn\"},\n {\"box_2d\": [869, 39, 968, 135], \"label\": \"white rook\"},\n {\"box_2d\": [867, 134, 958, 240], \"label\": \"white knight\"},\n {\"box_2d\": [871, 281, 973, 374], \"label\": \"white bishop\"},\n {\"box_2d\": [866, 408, 991, 499], \"label\": \"white king\"},\n {\"box_2d\": [866, 531, 990, 622], \"label\": \"white queen\"},\n {\"box_2d\": [870, 653, 972, 745], \"label\": \"white bishop\"},\n {\"box_2d\": [878, 886, 979, 990], \"label\": \"white rook\"}\n]\n```", "correct": true, "input_tokens": 1259, "output_tokens": 2275, "elapsed_seconds": 20.96183116605971, "metadata": {"match_method": "map", "num_predictions": 29, "num_ground_truth": 29, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 21.2401}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 34, "image": "1218_18_jpg.rf.8c844a918f3bbbea9bc4a4e8bb703b7d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [34, 521, 130, 610], \"label\": \"black bishop\"},\n {\"box_2d\": [134, 6, 224, 105], \"label\": \"white rook\"},\n {\"box_2d\": [252, 256, 342, 349], \"label\": \"black knight\"},\n {\"box_2d\": [259, 631, 352, 718], \"label\": \"white knight\"},\n {\"box_2d\": [263, 875, 359, 999], \"label\": \"white queen\"},\n {\"box_2d\": [381, 4, 464, 121], \"label\": \"black queen\"},\n {\"box_2d\": [511, 0, 599, 122], \"label\": \"white king\"},\n {\"box_2d\": [515, 279, 603, 369], \"label\": \"white bishop\"},\n {\"box_2d\": [520, 525, 607, 611], \"label\": \"black king\"},\n {\"box_2d\": [537, 763, 606, 840], \"label\": \"white pawn\"},\n {\"box_2d\": [627, 389, 708, 480], \"label\": \"black knight\"},\n {\"box_2d\": [639, 522, 719, 603], \"label\": \"white rook\"},\n {\"box_2d\": [642, 882, 722, 994], \"label\": \"white knight\"},\n {\"box_2d\": [747, 141, 850, 245], \"label\": \"white queen\"},\n {\"box_2d\": [768, 642, 844, 714], \"label\": \"black pawn\"},\n {\"box_2d\": [766, 767, 854, 860], \"label\": \"black rook\"},\n {\"box_2d\": [890, 405, 968, 481], \"label\": \"white pawn\"},\n {\"box_2d\": [885, 761, 999, 872], \"label\": \"black queen\"}\n]\n```", "correct": true, "input_tokens": 1259, "output_tokens": 1985, "elapsed_seconds": 19.471360124996863, "metadata": {"match_method": "map", "num_predictions": 18, "num_ground_truth": 18, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 19.75}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 35, "image": "42ba34_3_4_png_jpg.rf.963d6715a391a3a2fee3176cace44325.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [375, 0, 417, 11], \"label\": \"goalkeeper\"},\n {\"box_2d\": [682, 152, 740, 170], \"label\": \"player\"},\n {\"box_2d\": [579, 234, 636, 249], \"label\": \"player\"},\n {\"box_2d\": [491, 265, 545, 277], \"label\": \"player\"},\n {\"box_2d\": [519, 281, 571, 295], \"label\": \"player\"},\n {\"box_2d\": [354, 250, 392, 260], \"label\": \"player\"},\n {\"box_2d\": [356, 257, 394, 268], \"label\": \"player\"},\n {\"box_2d\": [301, 281, 336, 290], \"label\": \"player\"},\n {\"box_2d\": [293, 318, 329, 326], \"label\": \"player\"},\n {\"box_2d\": [281, 405, 317, 415], \"label\": \"player\"},\n {\"box_2d\": [403, 350, 449, 360], \"label\": \"referee\"},\n {\"box_2d\": [361, 434, 399, 444], \"label\": \"player\"},\n {\"box_2d\": [335, 461, 372, 473], \"label\": \"player\"},\n {\"box_2d\": [247, 491, 280, 498], \"label\": \"player\"},\n {\"box_2d\": [352, 586, 391, 597], \"label\": \"player\"},\n {\"box_2d\": [485, 563, 535, 576], \"label\": \"player\"},\n {\"box_2d\": [543, 583, 597, 596], \"label\": \"player\"},\n {\"box_2d\": [530, 606, 582, 620], \"label\": \"player\"},\n {\"box_2d\": [468, 675, 518, 689], \"label\": \"player\"},\n {\"box_2d\": [292, 689, 330, 699], \"label\": \"player\"},\n {\"box_2d\": [453, 722, 499, 736], \"label\": \"player\"},\n {\"box_2d\": [424, 802, 471, 814], \"label\": \"player\"},\n {\"box_2d\": [350, 912, 389, 926], \"label\": \"goalkeeper\"},\n {\"box_2d\": [640, 956, 696, 978], \"label\": \"referee\"}\n]\n```", "correct": false, "input_tokens": 1242, "output_tokens": 3191, "elapsed_seconds": 31.19227849994786, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6658415794372559, "attempts": 1, "retries": 0, "total_seconds": 31.321}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 36, "image": "170567v_JPG_jpg.rf.b4ec6b9d23ca24e31da874cd6f035dfa.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [445, 270, 783, 855], \"label\": \"cracked insulator\"}\n]\n```", "correct": false, "input_tokens": 1244, "output_tokens": 1175, "elapsed_seconds": 22.35932612500619, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 6, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 22.8989}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 37, "image": "wood-log-detection_092_png_jpg.rf.b7bfbb1ba7a477ea02f5974fce28583e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [36, 336, 98, 387], \"label\": \"log cross-section\"},\n {\"box_2d\": [94, 381, 145, 421], \"label\": \"log cross-section\"},\n {\"box_2d\": [97, 319, 143, 357], \"label\": \"log cross-section\"},\n {\"box_2d\": [110, 279, 159, 321], \"label\": \"log cross-section\"},\n {\"box_2d\": [125, 214, 175, 258], \"label\": \"log cross-section\"},\n {\"box_2d\": [154, 257, 232, 317], \"label\": \"log cross-section\"},\n {\"box_2d\": [141, 350, 207, 403], \"label\": \"log cross-section\"},\n {\"box_2d\": [123, 431, 160, 459], \"label\": \"log cross-section\"},\n {\"box_2d\": [152, 437, 210, 476], \"label\": \"log cross-section\"},\n {\"box_2d\": [102, 466, 149, 499], \"label\": \"log cross-section\"},\n {\"box_2d\": [92, 496, 142, 535], \"label\": \"log cross-section\"},\n {\"box_2d\": [138, 499, 190, 539], \"label\": \"log cross-section\"},\n {\"box_2d\": [72, 531, 146, 587], \"label\": \"log cross-section\"},\n {\"box_2d\": [151, 532, 215, 584], \"label\": \"log cross-section\"},\n {\"box_2d\": [114, 584, 169, 623], \"label\": \"log cross-section\"},\n {\"box_2d\": [84, 625, 131, 661], \"label\": \"log cross-section\"},\n {\"box_2d\": [137, 619, 176, 646], \"label\": \"log cross-section\"},\n {\"box_2d\": [114, 646, 166, 688], \"label\": \"log cross-section\"},\n {\"box_2d\": [164, 629, 228, 682], \"label\": \"log cross-section\"},\n {\"box_2d\": [174, 583, 223, 622], \"label\": \"log cross-section\"},\n {\"box_2d\": [138, 678, 222, 744], \"label\": \"log cross-section\"},\n {\"box_2d\": [161, 742, 204, 777], \"label\": \"log cross-section\"},\n {\"box_2d\": [163, 777, 213, 813], \"label\": \"log cross-section\"},\n {\"box_2d\": [164, 807, 226, 851], \"label\": \"log cross-section\"},\n {\"box_2d\": [199, 738, 260, 786], \"label\": \"log cross-section\"},\n {\"box_2d\": [222, 822, 273, 864], \"label\": \"log cross-section\"},\n {\"box_2d\": [233, 256, 300, 312], \"label\": \"log cross-section\"},\n {\"box_2d\": [213, 310, 273, 360], \"label\": \"log cross-section\"},\n {\"box_2d\": [198, 351, 234, 384], \"label\": \"log cross-section\"},\n {\"box_2d\": [181, 405, 215, 433], \"label\": \"log cross-section\"},\n {\"box_2d\": [214, 400, 251, 428], \"label\": \"log cross-section\"},\n {\"box_2d\": [180, 469, 223, 502], \"label\": \"log cross-section\"},\n {\"box_2d\": [187, 495, 232, 534], \"label\": \"log cross-section\"},\n {\"box_2d\": [203, 424, 240, 456], \"label\": \"log cross-section\"},\n {\"box_2d\": [231, 419, 281, 454], \"label\": \"log cross-section\"},\n {\"box_2d\": [227, 359, 286, 409], \"label\": \"log cross-section\"},\n {\"box_2d\": [231, 449, 284, 491], \"label\": \"log cross-section\"},\n {\"box_2d\": [231, 488, 273, 523], \"label\": \"log cross-section\"},\n {\"box_2d\": [210, 520, 257, 553], \"label\": \"log cross-section\"},\n {\"box_2d\": [210, 557, 275, 608], \"label\": \"log cross-section\"},\n {\"box_2d\": [221, 602, 280, 646], \"label\": \"log cross-section\"},\n {\"box_2d\": [245, 639, 313, 695], \"label\": \"log cross-section\"},\n {\"box_2d\": [259, 767, 306, 817], \"label\": \"log cross-section\"},\n {\"box_2d\": [296, 786, 357, 839], \"label\": \"log cross-section\"},\n {\"box_2d\": [299, 263, 346, 304], \"label\": \"log cross-section\"},\n {\"box_2d\": [270, 313, 344, 380], \"label\": \"log cross-section\"},\n {\"box_2d\": [277, 396, 323, 433], \"label\": \"log cross-section\"},\n {\"box_2d\": [274, 431, 333, 474], \"label\": \"log cross-section\"},\n {\"box_2d\": [269, 488, 319, 529], \"label\": \"log cross-section\"},\n {\"box_2d\": [257, 522, 305, 555], \"label\": \"log cross-section\"},\n {\"box_2d\": [268, 567, 335, 625], \"label\": \"log cross-section\"},\n {\"box_2d\": [305, 540, 355, 576], \"label\": \"log cross-section\"},\n {\"box_2d\": [309, 616, 362, 658], \"label\": \"log cross-section\"},\n {\"box_2d\": [309, 655, 350, 684], \"label\": \"log cross-section\"},\n {\"box_2d\": [308, 678, 378, 733], \"label\": \"log cross-section\"},\n {\"box_2d\": [322, 731, 378, 777], \"label\": \"log cross-section\"},\n {\"box_2d\": [346, 264, 396, 307], \"label\": \"log cross-section\"},\n {\"box_2d\": [342, 303, 386, 341], \"label\": \"log cross-section\"},\n {\"box_2d\": [331, 385, 385, 424], \"label\": \"log cross-section\"},\n {\"box_2d\": [333, 421, 376, 453], \"label\": \"log cross-section\"},\n {\"box_2d\": [318, 460, 389, 513], \"label\": \"log cross-section\"},\n {\"box_2d\": [318, 509, 366, 546], \"label\": \"log cross-section\"},\n {\"box_2d\": [355, 546, 398, 580], \"label\": \"log cross-section\"},\n {\"box_2d\": [345, 574, 391, 606], \"label\": \"log cross-section\"},\n {\"box_2d\": [360, 762, 427, 822], \"label\": \"log cross-section\"},\n {\"box_2d\": [368, 716, 419, 756], \"label\": \"log cross-section\"},\n {\"box_2d\": [392, 307, 441, 352], \"label\": \"log cross-section\"},\n {\"box_2d\": [364, 350, 415, 390], \"label\": \"log cross-section\"},\n {\"box_2d\": [413, 350, 451, 381], \"label\": \"log cross-section\"},\n {\"box_2d\": [395, 378, 449, 420], \"label\": \"log cross-section\"},\n {\"box_2d\": [426, 408, 473, 447], \"label\": \"log cross-section\"},\n {\"box_2d\": [377, 429, 432, 476], \"label\": \"log cross-section\"},\n {\"box_2d\": [389, 474, 439, 514], \"label\": \"log cross-section\"},\n {\"box_2d\": [386, 521, 436, 560], \"label\": \"log cross-section\"},\n {\"box_2d\": [391, 557, 449, 603], \"label\": \"log cross-section\"},\n {\"box_2d\": [390, 636, 444, 686], \"label\": \"log cross-section\"},\n {\"box_2d\": [409, 601, 457, 640], \"label\": \"log cross-section\"},\n {\"box_2d\": [425, 271, 493, 327], \"label\": \"log cross-section\"},\n {\"box_2d\": [445, 367, 491, 408], \"label\": \"log cross-section\"},\n {\"box_2d\": [425, 445, 483, 493], \"label\": \"log cross-section\"},\n {\"box_2d\": [424, 493, 481, 540], \"label\": \"log cross-section\"},\n {\"box_2d\": [442, 544, 486, 578], \"label\": \"log cross-section\"},\n {\"box_2d\": [449, 575, 493, 609], \"label\": \"log cross-section\"},\n {\"box_2d\": [464, 605, 507, 640], \"label\": \"log cross-section\"},\n {\"box_2d\": [437, 632, 478, 667], \"label\": \"log cross-section\"},\n {\"box_2d\": [416, 688, 469, 737], \"label\": \"log cross-section\"},\n {\"box_2d\": [440, 725, 481, 759], \"label\": \"log cross-section\"},\n {\"box_2d\": [406, 740, 450, 778], \"label\": \"log cross-section\"},\n {\"box_2d\": [431, 772, 475, 813], \"label\": \"log cross-section\"},\n {\"box_2d\": [494, 267, 566, 326], \"label\": \"log cross-section\"},\n {\"box_2d\": [506, 321, 546, 356], \"label\": \"log cross-section\"},\n {\"box_2d\": [504, 370, 566, 421], \"label\": \"log cross-section\"},\n {\"box_2d\": [472, 404, 522, 442], \"label\": \"log cross-section\"},\n {\"box_2d\": [483, 447, 548, 502], \"label\": \"log cross-section\"},\n {\"box_2d\": [509, 502, 558, 538], \"label\": \"log cross-section\"},\n {\"box_2d\": [510, 536, 581, 588], \"label\": \"log cross-section\"},\n {\"box_2d\": [489, 578, 544, 623], \"label\": \"log cross-section\"},\n {\"box_2d\": [507, 626, 563, 676], \"label\": \"log cross-section\"},\n {\"box_2d\": [484, 665, 534, 709], \"label\": \"log cross-section\"},\n {\"box_2d\": [466, 742, 535, 801], \"label\": \"log cross-section\"},\n {\"box_2d\": [507, 707, 570, 767], \"label\": \"log cross-section\"},\n {\"box_2d\": [533, 767, 576, 817], \"label\": \"log cross-section\"},\n {\"box_2d\": [553, 260, 597, 297], \"label\": \"log cross-section\"},\n {\"box_2d\": [534, 333, 591, 382], \"label\": \"log cross-section\"},\n {\"box_2d\": [529, 417, 586, 459], \"label\": \"log cross-section\"},\n {\"box_2d\": [550, 447, 621, 505], \"label\": \"log cross-section\"},\n {\"box_2d\": [563, 505, 622, 554], \"label\": \"log cross-section\"},\n {\"box_2d\": [588, 270, 654, 325], \"label\": \"log cross-section\"},\n {\"box_2d\": [587, 321, 646, 368], \"label\": \"log cross-section\"},\n {\"box_2d\": [578, 367, 646, 422], \"label\": \"log cross-section\"},\n {\"box_2d\": [611, 426, 653, 462], \"label\": \"log cross-section\"},\n {\"box_2d\": [603, 483, 653, 524], \"label\": \"log cross-section\"},\n {\"box_2d\": [605, 531, 655, 575], \"label\": \"log cross-section\"},\n {\"box_2d\": [570, 566, 639, 622], \"label\": \"log cross-section\"},\n {\"box_2d\": [559, 642, 608, 694], \"label\": \"log cross-section\"},\n {\"box_2d\": [549, 675, 610, 738], \"label\": \"log cross-section\"},\n {\"box_2d\": [580, 731, 640, 783], \"label\": \"log cross-section\"},\n {\"box_2d\": [576, 775, 635, 833], \"label\": \"log cross-section\"},\n {\"box_2d\": [649, 271, 688, 304], \"label\": \"log cross-section\"},\n {\"box_2d\": [641, 307, 708, 361], \"label\": \"log cross-section\"},\n {\"box_2d\": [641, 361, 699, 408], \"label\": \"log cross-section\"},\n {\"box_2d\": [646, 445, 697, 484], \"label\": \"log cross-section\"},\n {\"box_2d\": [648, 513, 702, 557], \"label\": \"log cross-section\"},\n {\"box_2d\": [653, 556, 701, 593], \"label\": \"log cross-section\"},\n {\"box_2d\": [609, 616, 667, 666], \"label\": \"log cross-section\"},\n {\"box_2d\": [605, 675, 653, 725], \"label\": \"log cross-section\"},\n {\"box_2d\": [628, 742, 705, 807], \"label\": \"log cross-section\"},\n {\"box_2d\": [683, 265, 749, 315], \"label\": \"log cross-section\"},\n {\"box_2d\": [712, 311, 777, 364], \"label\": \"log cross-section\"},\n {\"box_2d\": [696, 362, 757, 408], \"label\": \"log cross-section\"},\n {\"box_2d\": [674, 396, 729, 436], \"label\": \"log cross-section\"},\n {\"box_2d\": [693, 422, 749, 466], \"label\": \"log cross-section\"},\n {\"box_2d\": [680, 463, 766, 530], \"label\": \"log cross-section\"},\n {\"box_2d\": [695, 533, 764, 588], \"label\": \"log cross-section\"},\n {\"box_2d\": [675, 583, 728, 626], \"label\": \"log cross-section\"},\n {\"box_2d\": [662, 620, 710, 662], \"label\": \"log cross-section\"},\n {\"box_2d\": [680, 655, 725, 694], \"label\": \"log cross-section\"},\n {\"box_2d\": [646, 695, 695, 740], \"label\": \"log cross-section\"},\n {\"box_2d\": [688, 726, 739, 771], \"label\": \"log cross-section\"},\n {\"box_2d\": [743, 389, 803, 438], \"label\": \"log cross-section\"},\n {\"box_2d\": [756, 353, 791, 385], \"label\": \"log cross-section\"},\n {\"box_2d\": [708, 626, 756, 667], \"label\": \"log cross-section\"},\n {\"box_2d\": [716, 671, 763, 710], \"label\": \"log cross-section\"},\n {\"box_2d\": [731, 577, 825, 648], \"label\": \"log cross-section\"},\n {\"box_2d\": [740, 727, 815, 790], \"label\": \"log cross-section\"},\n {\"box_2d\": [708, 767, 754, 804], \"label\": \"log cross-section\"},\n {\"box_2d\": [770, 262, 842, 319], \"label\": \"log cross-section\"},\n {\"box_2d\": [775, 315, 829, 359], \"label\": \"log cross-section\"},\n {\"box_2d\": [785, 355, 843, 401], \"label\": \"log cross-section\"},\n {\"box_2d\": [777, 424, 841, 474], \"label\": \"log cross-section\"},\n {\"box_2d\": [763, 471, 830, 526], \"label\": \"log cross-section\"},\n {\"box_2d\": [762, 523, 813, 563], \"label\": \"log cross-section\"},\n {\"box_2d\": [808, 519, 856, 558], \"label\": \"log cross-section\"},\n {\"box_2d\": [752, 646, 809, 690], \"label\": \"log cross-section\"},\n {\"box_2d\": [750, 688, 802, 729], \"label\": \"log cross-section\"},\n {\"box_2d\": [802, 663, 868, 713], \"label\": \"log cross-section\"},\n {\"box_2d\": [805, 626, 870, 672], \"label\": \"log cross-section\"},\n {\"box_2d\": [834, 598, 890, 641], \"label\": \"log cross-section\"},\n {\"box_2d\": [828, 297, 907, 361], \"label\": \"log cross-section\"},\n {\"box_2d\": [842, 263, 894, 301], \"label\": \"log cross-section\"},\n {\"box_2d\": [848, 361, 907, 404], \"label\": \"log cross-section\"},\n {\"box_2d\": [836, 400, 897, 444], \"label\": \"log cross-section\"},\n {\"box_2d\": [830, 463, 912, 528], \"label\": \"log cross-section\"},\n {\"box_2d\": [849, 555, 913, 603], \"label\": \"log cross-section\"},\n {\"box_2d\": [823, 758, 886, 820], \"label\": \"log cross-section\"},\n {\"box_2d\": [543, 602, 594, 646], \"label\": \"log cross-section\"},\n {\"box_2d\": [635, 407, 677, 443], \"label\": \"log cross-section\"}\n]\n```", "correct": false, "input_tokens": 1228, "output_tokens": 10610, "elapsed_seconds": 74.96420345804654, "metadata": {"match_method": "map", "num_predictions": 167, "num_ground_truth": 206, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.4285080134868622, "attempts": 1, "retries": 0, "total_seconds": 74.9855}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 38, "image": "DJI_20230529111632_0087_T_JPG_jpg.rf.a0bcf6f9fb3a8158bd511491a1f333d9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [260, 883, 277, 897], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [263, 844, 277, 855], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [257, 966, 271, 978], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [522, 756, 537, 770], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [534, 593, 550, 606], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [629, 680, 645, 694], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [643, 474, 658, 487], \"label\": \"solar panel hot spot\"}\n]\n```", "correct": false, "input_tokens": 1228, "output_tokens": 1505, "elapsed_seconds": 19.44288470793981, "metadata": {"match_method": "map", "num_predictions": 7, "num_ground_truth": 9, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7722772359848022, "attempts": 1, "retries": 0, "total_seconds": 19.466}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 39, "image": "IMG_20260128_081648_jpg.rf.195a895d6fe7552e4b9d0fc4e44e0f46.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [624, 75, 723, 154], \"label\": \"white standard price tag\"},\n {\"box_2d\": [624, 148, 723, 234], \"label\": \"white standard price tag\"},\n {\"box_2d\": [624, 234, 725, 292], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [625, 289, 725, 372], \"label\": \"white standard price tag\"},\n {\"box_2d\": [626, 369, 726, 421], \"label\": \"white standard price tag\"},\n {\"box_2d\": [626, 417, 726, 493], \"label\": \"white standard price tag\"},\n {\"box_2d\": [626, 492, 726, 569], \"label\": \"white standard price tag\"},\n {\"box_2d\": [626, 568, 726, 642], \"label\": \"white standard price tag\"},\n {\"box_2d\": [618, 636, 952, 734], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [618, 714, 950, 804], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [630, 854, 729, 932], \"label\": \"white standard price tag\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 2119, "elapsed_seconds": 25.609139999956824, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 26.0923}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 40, "image": "m4_tire_2024-10-17_18_png_jpg.rf.b3da826931757f1612878ecf9680a260.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [93, 299, 173, 521], \"label\": \"tire size text\"},\n {\"box_2d\": [705, 213, 773, 267], \"label\": \"tire size text\"},\n {\"box_2d\": [877, 535, 954, 718], \"label\": \"tire size text\"}\n]\n```", "correct": false, "input_tokens": 1226, "output_tokens": 2834, "elapsed_seconds": 31.868027542019263, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5544553995132446, "attempts": 1, "retries": 0, "total_seconds": 32.2518}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 41, "image": "IMG_3864_JPG.rf.85dd012a4824e9d1050c085dd0a2e519.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [350, 226, 419, 336], \"label\": \"100 poker chip\"},\n {\"box_2d\": [361, 396, 431, 507], \"label\": \"500 poker chip\"},\n {\"box_2d\": [466, 97, 545, 217], \"label\": \"500 poker chip\"},\n {\"box_2d\": [430, 286, 508, 404], \"label\": \"500 poker chip\"},\n {\"box_2d\": [428, 401, 506, 517], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [440, 513, 519, 633], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [404, 610, 480, 729], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [446, 706, 526, 832], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [424, 819, 505, 945], \"label\": \"100 poker chip\"},\n {\"box_2d\": [512, 779, 601, 913], \"label\": \"100 poker chip\"},\n {\"box_2d\": [516, 650, 602, 780], \"label\": \"500 poker chip\"},\n {\"box_2d\": [529, 524, 618, 654], \"label\": \"500 poker chip\"},\n {\"box_2d\": [518, 398, 605, 525], \"label\": \"500 poker chip\"},\n {\"box_2d\": [522, 217, 609, 344], \"label\": \"500 poker chip\"},\n {\"box_2d\": [560, 40, 649, 168], \"label\": \"10000 poker chip\"},\n {\"box_2d\": [606, 129, 703, 265], \"label\": \"500 poker chip\"},\n {\"box_2d\": [574, 298, 670, 431], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [600, 421, 697, 557], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [662, 239, 767, 381], \"label\": \"500 poker chip\"},\n {\"box_2d\": [675, 495, 785, 639], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [674, 636, 784, 782], \"label\": \"500 poker chip\"},\n {\"box_2d\": [594, 708, 692, 848], \"label\": \"100 poker chip\"},\n {\"box_2d\": [685, 796, 796, 949], \"label\": \"1000 poker chip\"}\n]\n```", "correct": true, "input_tokens": 1229, "output_tokens": 2869, "elapsed_seconds": 31.700679833069444, "metadata": {"match_method": "map", "num_predictions": 23, "num_ground_truth": 24, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9702969789505005, "attempts": 1, "retries": 0, "total_seconds": 32.5333}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 42, "image": "1217_2_jpg.rf.e0a2a15bcd44d66668e689fd59ca61fe.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [26, 139, 127, 235], \"label\": \"white bishop\"},\n {\"box_2d\": [0, 401, 125, 490], \"label\": \"white queen\"},\n {\"box_2d\": [2, 509, 129, 600], \"label\": \"white king\"},\n {\"box_2d\": [0, 910, 84, 990], \"label\": \"black pawn\"},\n {\"box_2d\": [170, 17, 243, 96], \"label\": \"black pawn\"},\n {\"box_2d\": [149, 646, 224, 720], \"label\": \"white pawn\"},\n {\"box_2d\": [180, 765, 255, 839], \"label\": \"white pawn\"},\n {\"box_2d\": [285, 155, 357, 230], \"label\": \"white pawn\"},\n {\"box_2d\": [288, 386, 360, 456], \"label\": \"black pawn\"},\n {\"box_2d\": [273, 623, 362, 715], \"label\": \"white bishop\"},\n {\"box_2d\": [309, 872, 380, 949], \"label\": \"black pawn\"},\n {\"box_2d\": [412, 26, 483, 108], \"label\": \"white pawn\"},\n {\"box_2d\": [405, 297, 477, 371], \"label\": \"white pawn\"},\n {\"box_2d\": [386, 507, 474, 597], \"label\": \"black bishop\"},\n {\"box_2d\": [396, 639, 476, 731], \"label\": \"white knight\"},\n {\"box_2d\": [425, 769, 502, 871], \"label\": \"black knight\"},\n {\"box_2d\": [433, 901, 503, 982], \"label\": \"white pawn\"},\n {\"box_2d\": [546, 0, 626, 114], \"label\": \"black knight\"},\n {\"box_2d\": [512, 124, 600, 234], \"label\": \"black queen\"},\n {\"box_2d\": [525, 277, 597, 349], \"label\": \"black pawn\"},\n {\"box_2d\": [517, 399, 597, 480], \"label\": \"white rook\"},\n {\"box_2d\": [559, 609, 630, 682], \"label\": \"white pawn\"},\n {\"box_2d\": [651, 630, 740, 722], \"label\": \"white queen\"},\n {\"box_2d\": [650, 877, 720, 956], \"label\": \"white pawn\"},\n {\"box_2d\": [761, 16, 845, 117], \"label\": \"white rook\"},\n {\"box_2d\": [764, 162, 855, 252], \"label\": \"black bishop\"},\n {\"box_2d\": [782, 397, 856, 469], \"label\": \"black pawn\"},\n {\"box_2d\": [748, 749, 854, 856], \"label\": \"black king\"},\n {\"box_2d\": [901, 2, 995, 116], \"label\": \"white knight\"},\n {\"box_2d\": [882, 401, 973, 481], \"label\": \"black rook\"},\n {\"box_2d\": [901, 642, 994, 722], \"label\": \"black rook\"},\n {\"box_2d\": [891, 886, 999, 1000], \"label\": \"black queen\"}\n]\n```", "correct": true, "input_tokens": 1259, "output_tokens": 3015, "elapsed_seconds": 27.815831208019517, "metadata": {"match_method": "map", "num_predictions": 32, "num_ground_truth": 32, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 28.1013}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 43, "image": "fabric-defect_904_jpg.rf.1cf391ad7827c3f000e3c8ea35472e5d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [400, 456, 509, 531],\n \"label\": \"fabric cut\"\n}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 220, "elapsed_seconds": 6.4481241250177845, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 6.4749}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 44, "image": "20210325_204058_jpg.rf.29e7808c087a71e473dd9c19badaff2c.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [150, 429, 365, 646], \"label\": \"50 euro cent coin\"},\n {\"box_2d\": [257, 62, 444, 250], \"label\": \"5 euro cent coin\"},\n {\"box_2d\": [348, 267, 577, 498], \"label\": \"2 euro coin\"},\n {\"box_2d\": [365, 645, 535, 818], \"label\": \"2 euro cent coin\"},\n {\"box_2d\": [499, 509, 646, 658], \"label\": \"1 euro cent coin\"},\n {\"box_2d\": [604, 150, 807, 353], \"label\": \"20 euro cent coin\"},\n {\"box_2d\": [563, 691, 744, 876], \"label\": \"10 euro cent coin\"},\n {\"box_2d\": [700, 439, 913, 650], \"label\": \"1 euro coin\"}\n]\n```", "correct": true, "input_tokens": 1272, "output_tokens": 1056, "elapsed_seconds": 10.562004582956433, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 10.5865}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 45, "image": "9999942_00000_d_0000135_jpg.rf.52553444f2adb8d7ba245527bc1de4b5.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 193, 34, 255], \"label\": \"van\"},\n {\"box_2d\": [44, 240, 102, 267], \"label\": \"car\"},\n {\"box_2d\": [28, 296, 94, 323], \"label\": \"car\"},\n {\"box_2d\": [0, 308, 24, 333], \"label\": \"car\"},\n {\"box_2d\": [0, 381, 41, 404], \"label\": \"van\"},\n {\"box_2d\": [21, 406, 79, 432], \"label\": \"car\"},\n {\"box_2d\": [94, 282, 169, 316], \"label\": \"van\"},\n {\"box_2d\": [96, 173, 130, 231], \"label\": \"car\"},\n {\"box_2d\": [127, 169, 165, 229], \"label\": \"car\"},\n {\"box_2d\": [157, 168, 193, 210], \"label\": \"car\"},\n {\"box_2d\": [188, 269, 259, 302], \"label\": \"car\"},\n {\"box_2d\": [133, 394, 199, 423], \"label\": \"car\"},\n {\"box_2d\": [239, 133, 293, 181], \"label\": \"car\"},\n {\"box_2d\": [240, 374, 334, 414], \"label\": \"truck\"},\n {\"box_2d\": [320, 176, 380, 206], \"label\": \"car\"},\n {\"box_2d\": [385, 149, 434, 184], \"label\": \"car\"},\n {\"box_2d\": [525, 10, 571, 76], \"label\": \"van\"},\n {\"box_2d\": [570, 372, 634, 449], \"label\": \"car\"},\n {\"box_2d\": [548, 534, 591, 603], \"label\": \"car\"},\n {\"box_2d\": [606, 520, 649, 591], \"label\": \"car\"},\n {\"box_2d\": [604, 675, 646, 722], \"label\": \"car\"},\n {\"box_2d\": [694, 104, 792, 159], \"label\": \"car\"},\n {\"box_2d\": [812, 136, 926, 185], \"label\": \"car\"},\n {\"box_2d\": [111, 249, 140, 262], \"label\": \"person\"},\n {\"box_2d\": [111, 350, 141, 362], \"label\": \"person\"},\n {\"box_2d\": [477, 449, 497, 459], \"label\": \"person\"},\n {\"box_2d\": [472, 463, 492, 474], \"label\": \"person\"},\n {\"box_2d\": [484, 471, 504, 480], \"label\": \"person\"}\n]\n```", "correct": false, "input_tokens": 1215, "output_tokens": 2677, "elapsed_seconds": 23.7262217910029, "metadata": {"match_method": "map", "num_predictions": 28, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.26805129647254944, "attempts": 1, "retries": 0, "total_seconds": 23.8318}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 46, "image": "tire_2024-09-25_27_png_jpg.rf.86e579b04ca3a3e9f7a480c31239539e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [80, 272, 166, 471], \"label\": \"tire size text\"},\n {\"box_2d\": [334, 805, 396, 844], \"label\": \"tire size text\"},\n {\"box_2d\": [895, 471, 954, 679], \"label\": \"tire size text\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 979, "elapsed_seconds": 15.226656583021395, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 15.742}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 47, "image": "Container-144_jpg.rf.4f556fc57071dc9d870c03989b923d26.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [252, 555, 279, 738], \"label\": \"shipping container number\"},\n {\"box_2d\": [285, 557, 307, 609], \"label\": \"container ISO type code\"}\n]\n```", "correct": true, "input_tokens": 1232, "output_tokens": 318, "elapsed_seconds": 5.16185316699557, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 5.1778}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 48, "image": "frame_0151_jpg.rf.6c7fef6c392aec746239d36e4257e862.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [128, 127, 198, 173], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [298, 114, 371, 169], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [425, 84, 502, 139], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [615, 86, 709, 136], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [785, 67, 875, 132], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [894, 238, 962, 288], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [720, 237, 800, 283], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [500, 253, 574, 299], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [468, 206, 530, 246], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [291, 248, 357, 288], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [135, 237, 207, 281], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [110, 333, 171, 372], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [215, 339, 285, 378], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [338, 332, 410, 373], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [578, 365, 646, 407], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [641, 369, 713, 415], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [492, 466, 557, 502], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [275, 444, 348, 485], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [197, 441, 260, 477], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [114, 426, 174, 461], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [165, 531, 229, 568], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [264, 538, 321, 576], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [418, 568, 485, 608], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [779, 581, 851, 622], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [473, 674, 537, 710], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [347, 646, 407, 682], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [18, 548, 80, 585], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 514, 52, 548], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 609, 55, 637], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [4, 413, 51, 446], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [4, 381, 47, 410], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [1, 347, 48, 383], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 251, 44, 284], \"label\": \"garlic on conveyor\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 3075, "elapsed_seconds": 29.437385957920924, "metadata": {"match_method": "map", "num_predictions": 33, "num_ground_truth": 27, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 29.5799}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 49, "image": "4106884_ContLeftUpper_f_jpg.rf.92488d92926163302f246be3b53efb13.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [226, 23, 252, 46], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [213, 100, 253, 125], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [216, 179, 255, 204], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [220, 257, 256, 282], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [228, 337, 258, 360], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [234, 416, 260, 440], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [235, 494, 261, 518], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [237, 573, 261, 597], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [408, 221, 440, 245], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [411, 299, 443, 325], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [415, 379, 446, 402], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [421, 458, 449, 481], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [521, 65, 548, 89], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [521, 143, 551, 168], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [522, 222, 550, 246], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [525, 300, 554, 326], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [525, 380, 552, 404], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [528, 458, 553, 481], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [529, 614, 552, 636], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [332, 612, 401, 637], \"label\": \"shipping container wall dent\"}\n]\n```", "correct": false, "input_tokens": 1219, "output_tokens": 2712, "elapsed_seconds": 29.82267454196699, "metadata": {"match_method": "map", "num_predictions": 20, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.15055328607559204, "attempts": 1, "retries": 0, "total_seconds": 29.9845}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 50, "image": "img_459031286691397716_png.rf.6de9abc735878b2b2cc1f1fa95486a5f.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [39, 162, 169, 304], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [129, 146, 260, 292], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [222, 127, 353, 281], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [326, 102, 460, 267], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [437, 79, 571, 255], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [559, 49, 697, 238], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [697, 17, 840, 222], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [840, 0, 1000, 198], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [9, 297, 129, 430], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [96, 287, 217, 425], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [186, 275, 311, 421], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [284, 258, 412, 412], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [392, 244, 526, 405], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [513, 224, 646, 396], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [647, 207, 786, 388], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [789, 179, 944, 375], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [49, 420, 163, 555], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [133, 415, 253, 555], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [228, 408, 352, 555], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [332, 396, 459, 550], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [443, 393, 576, 553], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [568, 376, 703, 545], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [704, 369, 846, 550], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [847, 355, 1000, 547], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [13, 545, 134, 681], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [99, 544, 216, 683], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [190, 541, 309, 686], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [289, 537, 416, 691], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [398, 537, 527, 697], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [517, 533, 651, 702], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [648, 534, 789, 713], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [790, 533, 945, 722], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [49, 671, 174, 809], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [138, 673, 263, 818], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [231, 677, 358, 829], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [334, 679, 466, 841], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [446, 683, 580, 855], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [572, 686, 710, 869], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [709, 696, 851, 888], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [852, 703, 1000, 913], \"label\": \"empty portable gas cylinder\"}\n]\n```", "correct": true, "input_tokens": 1203, "output_tokens": 2864, "elapsed_seconds": 21.780054999981076, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 40, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 21.8922}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 51, "image": "1668147211__jpg.rf.0ee3d637cd990a070a8c1bcc234c9d5a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [656, 28, 701, 56], \"label\": \"six die\"},\n {\"box_2d\": [892, 113, 941, 141], \"label\": \"one die\"},\n {\"box_2d\": [622, 177, 673, 206], \"label\": \"six die\"},\n {\"box_2d\": [636, 209, 694, 242], \"label\": \"five die\"},\n {\"box_2d\": [757, 222, 816, 256], \"label\": \"five die\"},\n {\"box_2d\": [432, 198, 487, 229], \"label\": \"five die\"},\n {\"box_2d\": [373, 192, 419, 220], \"label\": \"three die\"},\n {\"box_2d\": [254, 194, 313, 227], \"label\": \"four die\"},\n {\"box_2d\": [209, 218, 267, 252], \"label\": \"one die\"},\n {\"box_2d\": [249, 238, 301, 268], \"label\": \"three die\"},\n {\"box_2d\": [106, 243, 161, 273], \"label\": \"three die\"},\n {\"box_2d\": [153, 255, 209, 287], \"label\": \"five die\"},\n {\"box_2d\": [217, 296, 271, 326], \"label\": \"two die\"},\n {\"box_2d\": [227, 341, 284, 372], \"label\": \"five die\"},\n {\"box_2d\": [188, 366, 248, 398], \"label\": \"three die\"},\n {\"box_2d\": [244, 370, 303, 403], \"label\": \"one die\"},\n {\"box_2d\": [271, 400, 321, 427], \"label\": \"one die\"},\n {\"box_2d\": [329, 369, 383, 399], \"label\": \"six die\"},\n {\"box_2d\": [392, 418, 439, 444], \"label\": \"five die\"},\n {\"box_2d\": [354, 447, 413, 479], \"label\": \"two die\"},\n {\"box_2d\": [176, 454, 232, 485], \"label\": \"one die\"},\n {\"box_2d\": [243, 459, 303, 491], \"label\": \"four die\"},\n {\"box_2d\": [236, 491, 294, 522], \"label\": \"three die\"},\n {\"box_2d\": [348, 555, 411, 590], \"label\": \"six die\"},\n {\"box_2d\": [528, 304, 582, 335], \"label\": \"one die\"},\n {\"box_2d\": [618, 308, 672, 339], \"label\": \"one die\"},\n {\"box_2d\": [601, 379, 658, 411], \"label\": \"three die\"},\n {\"box_2d\": [578, 415, 630, 445], \"label\": \"four die\"},\n {\"box_2d\": [652, 398, 704, 426], \"label\": \"six die\"},\n {\"box_2d\": [682, 426, 738, 456], \"label\": \"four die\"},\n {\"box_2d\": [662, 450, 714, 479], \"label\": \"three die\"},\n {\"box_2d\": [618, 507, 665, 533], \"label\": \"one die\"},\n {\"box_2d\": [659, 525, 711, 555], \"label\": \"four die\"},\n {\"box_2d\": [776, 470, 829, 500], \"label\": \"three die\"},\n {\"box_2d\": [779, 536, 830, 564], \"label\": \"one die\"},\n {\"box_2d\": [854, 580, 909, 610], \"label\": \"two die\"},\n {\"box_2d\": [692, 616, 751, 649], \"label\": \"three die\"},\n {\"box_2d\": [52, 647, 111, 680], \"label\": \"six die\"},\n {\"box_2d\": [87, 673, 151, 707], \"label\": \"three die\"},\n {\"box_2d\": [148, 769, 206, 802], \"label\": \"two die\"},\n {\"box_2d\": [282, 740, 338, 770], \"label\": \"three die\"},\n {\"box_2d\": [288, 869, 342, 902], \"label\": \"five die\"},\n {\"box_2d\": [427, 807, 479, 836], \"label\": \"two die\"},\n {\"box_2d\": [503, 798, 563, 834], \"label\": \"four die\"},\n {\"box_2d\": [503, 842, 561, 875], \"label\": \"four die\"},\n {\"box_2d\": [476, 862, 535, 895], \"label\": \"one die\"},\n {\"box_2d\": [582, 798, 636, 829], \"label\": \"two die\"},\n {\"box_2d\": [651, 800, 709, 833], \"label\": \"one die\"},\n {\"box_2d\": [599, 838, 648, 867], \"label\": \"one die\"},\n {\"box_2d\": [649, 833, 701, 863], \"label\": \"one die\"},\n {\"box_2d\": [599, 877, 658, 912], \"label\": \"two die\"}\n]\n```", "correct": true, "input_tokens": 1252, "output_tokens": 3878, "elapsed_seconds": 29.98563616699539, "metadata": {"match_method": "map", "num_predictions": 51, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9667609333992004, "attempts": 1, "retries": 0, "total_seconds": 30.0444}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 52, "image": "3533container_jpg.rf.12bfe57075507c019cfd5dc24dd08b40.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [374, 237, 463, 267], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [372, 320, 456, 347], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [489, 141, 561, 169], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [619, 396, 665, 434], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [623, 477, 667, 511], \"label\": \"shipping container wall dent\"}\n]\n```", "correct": false, "input_tokens": 1219, "output_tokens": 1531, "elapsed_seconds": 17.97241970791947, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.1683168262243271, "attempts": 1, "retries": 0, "total_seconds": 18.1013}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 53, "image": "DJI_20230529095121_0346_T_JPG_jpg.rf.a2baa2ffdce5ec84e5f5d22342f6b310.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [319, 305, 333, 318], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [326, 429, 339, 440], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [264, 626, 354, 646], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [459, 917, 473, 931], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [703, 466, 722, 482], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [706, 503, 724, 517], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [713, 592, 727, 604], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [828, 859, 845, 874], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [830, 902, 846, 916], \"label\": \"solar panel hot spot\"}\n]\n```", "correct": false, "input_tokens": 1228, "output_tokens": 1229, "elapsed_seconds": 14.291020625038072, "metadata": {"match_method": "map", "num_predictions": 9, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7062706351280212, "attempts": 1, "retries": 0, "total_seconds": 14.3148}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 54, "image": "IMG_20250815_170041_jpg.rf.a65978ab35e2cb48c68d9eebdeaab87b.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [583, 309, 672, 412], \"label\": \"barcode\"},\n {\"box_2d\": [664, 0, 757, 75], \"label\": \"barcode\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 529, "elapsed_seconds": 10.79786370799411, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 11.1084}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 55, "image": "1_000070_png.rf.a431761eff2c713a18daff7bade25bde.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [280, 55, 312, 66], \"label\": \"tire spike normal\"},\n {\"box_2d\": [184, 88, 221, 102], \"label\": \"tire spike normal\"},\n {\"box_2d\": [153, 192, 193, 206], \"label\": \"tire spike normal\"},\n {\"box_2d\": [208, 246, 249, 260], \"label\": \"tire spike normal\"},\n {\"box_2d\": [293, 285, 336, 300], \"label\": \"tire spike normal\"},\n {\"box_2d\": [186, 351, 232, 367], \"label\": \"tire spike normal\"},\n {\"box_2d\": [301, 394, 341, 410], \"label\": \"tire spike absent\"},\n {\"box_2d\": [199, 464, 247, 482], \"label\": \"tire spike normal\"},\n {\"box_2d\": [184, 520, 231, 537], \"label\": \"tire spike normal\"},\n {\"box_2d\": [245, 593, 293, 610], \"label\": \"tire spike normal\"},\n {\"box_2d\": [216, 648, 260, 664], \"label\": \"tire spike normal\"},\n {\"box_2d\": [270, 716, 312, 729], \"label\": \"tire spike normal\"},\n {\"box_2d\": [230, 763, 272, 774], \"label\": \"tire spike normal\"},\n {\"box_2d\": [294, 818, 332, 830], \"label\": \"tire spike normal\"},\n {\"box_2d\": [377, 855, 416, 867], \"label\": \"tire spike normal\"},\n {\"box_2d\": [288, 895, 327, 905], \"label\": \"tire spike normal\"},\n {\"box_2d\": [391, 919, 427, 928], \"label\": \"tire spike normal\"},\n {\"box_2d\": [306, 945, 344, 953], \"label\": \"tire spike normal\"},\n {\"box_2d\": [664, 51, 696, 63], \"label\": \"tire spike normal\"},\n {\"box_2d\": [587, 70, 622, 84], \"label\": \"tire spike normal\"},\n {\"box_2d\": [682, 100, 719, 114], \"label\": \"tire spike normal\"},\n {\"box_2d\": [620, 137, 659, 152], \"label\": \"tire spike normal\"},\n {\"box_2d\": [699, 177, 738, 190], \"label\": \"tire spike absent\"},\n {\"box_2d\": [755, 228, 799, 243], \"label\": \"tire spike absent\"},\n {\"box_2d\": [727, 283, 769, 299], \"label\": \"tire spike normal\"},\n {\"box_2d\": [636, 332, 680, 347], \"label\": \"tire spike normal\"},\n {\"box_2d\": [744, 391, 783, 406], \"label\": \"tire spike absent\"},\n {\"box_2d\": [658, 444, 705, 463], \"label\": \"tire spike normal\"},\n {\"box_2d\": [761, 504, 807, 521], \"label\": \"tire spike normal\"},\n {\"box_2d\": [814, 571, 858, 588], \"label\": \"tire spike normal\"},\n {\"box_2d\": [780, 634, 817, 649], \"label\": \"tire spike absent\"},\n {\"box_2d\": [821, 695, 864, 710], \"label\": \"tire spike absent\"},\n {\"box_2d\": [787, 751, 832, 766], \"label\": \"tire spike normal\"},\n {\"box_2d\": [830, 801, 871, 813], \"label\": \"tire spike absent\"},\n {\"box_2d\": [782, 847, 821, 859], \"label\": \"tire spike absent\"},\n {\"box_2d\": [700, 885, 741, 896], \"label\": \"tire spike normal\"},\n {\"box_2d\": [693, 938, 731, 948], \"label\": \"tire spike normal\"}\n]\n```", "correct": false, "input_tokens": 1222, "output_tokens": 2988, "elapsed_seconds": 26.01151220907923, "metadata": {"match_method": "map", "num_predictions": 37, "num_ground_truth": 46, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6332388520240784, "attempts": 1, "retries": 0, "total_seconds": 26.0735}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 56, "image": "egg-detection_image148_jpg.rf.7ef43d25f8e9b9b7f3d805f238830ff7.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [21, 706, 92, 760], \"label\": \"egg\"},\n {\"box_2d\": [56, 569, 134, 626], \"label\": \"egg\"},\n {\"box_2d\": [104, 613, 185, 675], \"label\": \"egg\"},\n {\"box_2d\": [111, 686, 189, 738], \"label\": \"egg\"},\n {\"box_2d\": [157, 517, 238, 576], \"label\": \"egg\"},\n {\"box_2d\": [221, 698, 303, 753], \"label\": \"egg\"},\n {\"box_2d\": [275, 661, 360, 720], \"label\": \"egg\"},\n {\"box_2d\": [334, 712, 419, 771], \"label\": \"egg\"},\n {\"box_2d\": [399, 632, 486, 694], \"label\": \"egg\"},\n {\"box_2d\": [406, 532, 491, 594], \"label\": \"egg\"},\n {\"box_2d\": [441, 761, 550, 804], \"label\": \"egg\"},\n {\"box_2d\": [512, 715, 595, 769], \"label\": \"egg\"},\n {\"box_2d\": [581, 658, 664, 719], \"label\": \"egg\"},\n {\"box_2d\": [584, 595, 671, 659], \"label\": \"egg\"},\n {\"box_2d\": [631, 698, 716, 759], \"label\": \"egg\"},\n {\"box_2d\": [626, 757, 708, 809], \"label\": \"egg\"},\n {\"box_2d\": [706, 617, 787, 676], \"label\": \"egg\"},\n {\"box_2d\": [772, 519, 855, 581], \"label\": \"egg\"},\n {\"box_2d\": [754, 657, 837, 718], \"label\": \"egg\"},\n {\"box_2d\": [739, 742, 816, 795], \"label\": \"egg\"},\n {\"box_2d\": [802, 698, 879, 755], \"label\": \"egg\"},\n {\"box_2d\": [908, 676, 984, 732], \"label\": \"egg\"},\n {\"box_2d\": [891, 731, 976, 773], \"label\": \"egg\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 2423, "elapsed_seconds": 21.199574499973096, "metadata": {"match_method": "map", "num_predictions": 23, "num_ground_truth": 23, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 21.2946}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 57, "image": "wood-log-detection_024_png_jpg.rf.263e49a755104b6d29dbdffe768891e9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [64, 292, 123, 378], \"label\": \"log cross-section\"},\n {\"box_2d\": [125, 241, 166, 297], \"label\": \"log cross-section\"},\n {\"box_2d\": [144, 281, 180, 322], \"label\": \"log cross-section\"},\n {\"box_2d\": [147, 319, 188, 367], \"label\": \"log cross-section\"},\n {\"box_2d\": [102, 414, 150, 470], \"label\": \"log cross-section\"},\n {\"box_2d\": [125, 469, 156, 502], \"label\": \"log cross-section\"},\n {\"box_2d\": [148, 444, 191, 491], \"label\": \"log cross-section\"},\n {\"box_2d\": [167, 388, 200, 425], \"label\": \"log cross-section\"},\n {\"box_2d\": [172, 247, 225, 314], \"label\": \"log cross-section\"},\n {\"box_2d\": [191, 319, 236, 378], \"label\": \"log cross-section\"},\n {\"box_2d\": [214, 238, 248, 281], \"label\": \"log cross-section\"},\n {\"box_2d\": [223, 292, 258, 338], \"label\": \"log cross-section\"},\n {\"box_2d\": [247, 320, 281, 366], \"label\": \"log cross-section\"},\n {\"box_2d\": [250, 245, 297, 311], \"label\": \"log cross-section\"},\n {\"box_2d\": [306, 241, 345, 294], \"label\": \"log cross-section\"},\n {\"box_2d\": [278, 350, 312, 395], \"label\": \"log cross-section\"},\n {\"box_2d\": [236, 386, 275, 433], \"label\": \"log cross-section\"},\n {\"box_2d\": [202, 422, 238, 475], \"label\": \"log cross-section\"},\n {\"box_2d\": [231, 439, 266, 483], \"label\": \"log cross-section\"},\n {\"box_2d\": [266, 419, 306, 478], \"label\": \"log cross-section\"},\n {\"box_2d\": [298, 414, 341, 477], \"label\": \"log cross-section\"},\n {\"box_2d\": [303, 391, 341, 422], \"label\": \"log cross-section\"},\n {\"box_2d\": [292, 473, 327, 516], \"label\": \"log cross-section\"},\n {\"box_2d\": [216, 486, 245, 522], \"label\": \"log cross-section\"},\n {\"box_2d\": [184, 511, 219, 552], \"label\": \"log cross-section\"},\n {\"box_2d\": [152, 533, 203, 598], \"label\": \"log cross-section\"},\n {\"box_2d\": [222, 520, 262, 567], \"label\": \"log cross-section\"},\n {\"box_2d\": [250, 489, 281, 533], \"label\": \"log cross-section\"},\n {\"box_2d\": [222, 566, 253, 598], \"label\": \"log cross-section\"},\n {\"box_2d\": [119, 658, 148, 692], \"label\": \"log cross-section\"},\n {\"box_2d\": [150, 658, 205, 727], \"label\": \"log cross-section\"},\n {\"box_2d\": [175, 600, 220, 661], \"label\": \"log cross-section\"},\n {\"box_2d\": [206, 622, 255, 686], \"label\": \"log cross-section\"},\n {\"box_2d\": [200, 698, 234, 744], \"label\": \"log cross-section\"},\n {\"box_2d\": [258, 559, 311, 627], \"label\": \"log cross-section\"},\n {\"box_2d\": [294, 534, 330, 581], \"label\": \"log cross-section\"},\n {\"box_2d\": [267, 625, 298, 666], \"label\": \"log cross-section\"},\n {\"box_2d\": [252, 666, 305, 738], \"label\": \"log cross-section\"},\n {\"box_2d\": [294, 691, 333, 742], \"label\": \"log cross-section\"},\n {\"box_2d\": [327, 641, 355, 691], \"label\": \"log cross-section\"}\n]\n```", "correct": true, "input_tokens": 1228, "output_tokens": 3639, "elapsed_seconds": 32.740189166972414, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 40, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9164309501647949, "attempts": 1, "retries": 0, "total_seconds": 32.7643}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 58, "image": "img_458587397241176242_png.rf.41b1d861ca437ce5097848dacad76db8.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [854, 122, 991, 300], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [736, 146, 854, 314], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [623, 170, 735, 325], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [519, 189, 631, 335], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [422, 209, 532, 342], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [332, 224, 439, 352], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [250, 244, 346, 359], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [171, 250, 265, 365], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [126, 362, 220, 474], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [204, 353, 305, 471], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [289, 342, 400, 466], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [376, 332, 491, 462], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [475, 319, 588, 456], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [577, 303, 692, 449], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [691, 290, 809, 449], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [808, 269, 944, 444], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [868, 412, 1000, 584], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [742, 426, 868, 590], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [623, 436, 742, 589], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [512, 444, 629, 589], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [412, 451, 526, 585], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [318, 459, 428, 586], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [229, 463, 338, 586], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [146, 465, 245, 582], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [101, 584, 204, 706], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [182, 581, 290, 709], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [269, 580, 381, 710], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [362, 577, 479, 714], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [464, 576, 581, 717], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [575, 575, 697, 726], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [695, 575, 820, 734], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [821, 570, 970, 741], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [880, 729, 1000, 913], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [749, 723, 882, 896], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [623, 719, 749, 882], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [503, 712, 628, 869], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [396, 709, 517, 856], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [297, 704, 416, 845], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [207, 704, 319, 837], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [120, 701, 229, 830], \"label\": \"empty portable gas cylinder\"}\n]\n```", "correct": false, "input_tokens": 1208, "output_tokens": 4184, "elapsed_seconds": 47.4385561250383, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 40, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.44268521666526794, "attempts": 3, "retries": 2, "total_seconds": 175.695, "transient_errors": ["RemoteProtocolError", "RemoteProtocolError"]}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 59, "image": "frame_0008_jpg.rf.87aed24f253375f69a3bb398f6521d18.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [40, 342, 85, 365], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [30, 396, 72, 419], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [25, 452, 68, 474], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [25, 506, 68, 529], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [125, 333, 173, 357], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [116, 390, 165, 413], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [112, 448, 161, 472], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [113, 507, 161, 531], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [219, 326, 263, 350], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [208, 384, 253, 409], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [205, 446, 250, 471], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [204, 510, 248, 534], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [498, 315, 548, 342], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [514, 376, 563, 403], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [527, 439, 578, 466], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [539, 502, 590, 530], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [608, 303, 661, 329], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [625, 363, 677, 390], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [640, 426, 692, 454], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [653, 489, 706, 519], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [722, 296, 773, 322], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [737, 356, 792, 383], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [753, 419, 808, 447], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [768, 484, 822, 512], \"label\": \"soda bottle cap\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 2174, "elapsed_seconds": 23.160197125049308, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 24, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 23.5372}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 60, "image": "uav20221018_ixfZ_3857_0_png.rf.68f3022f53a4bfe08c731fb3a58473cf.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [230, 336, 305, 405], \"label\": \"banana tree\"},\n {\"box_2d\": [202, 411, 273, 471], \"label\": \"banana tree\"},\n {\"box_2d\": [285, 404, 353, 472], \"label\": \"banana tree\"},\n {\"box_2d\": [323, 323, 391, 397], \"label\": \"banana tree\"},\n {\"box_2d\": [374, 399, 439, 482], \"label\": \"banana tree\"},\n {\"box_2d\": [417, 344, 468, 394], \"label\": \"banana tree\"},\n {\"box_2d\": [446, 406, 513, 478], \"label\": \"banana tree\"},\n {\"box_2d\": [494, 317, 567, 406], \"label\": \"banana tree\"},\n {\"box_2d\": [533, 410, 600, 466], \"label\": \"banana tree\"},\n {\"box_2d\": [580, 336, 661, 398], \"label\": \"banana tree\"},\n {\"box_2d\": [625, 409, 697, 483], \"label\": \"banana tree\"},\n {\"box_2d\": [668, 342, 740, 412], \"label\": \"banana tree\"},\n {\"box_2d\": [714, 416, 782, 475], \"label\": \"banana tree\"},\n {\"box_2d\": [750, 322, 833, 404], \"label\": \"banana tree\"},\n {\"box_2d\": [796, 404, 872, 480], \"label\": \"banana tree\"},\n {\"box_2d\": [846, 341, 912, 405], \"label\": \"banana tree\"},\n {\"box_2d\": [879, 406, 945, 484], \"label\": \"banana tree\"},\n {\"box_2d\": [926, 334, 991, 401], \"label\": \"banana tree\"},\n {\"box_2d\": [964, 408, 1000, 478], \"label\": \"banana tree\"},\n {\"box_2d\": [185, 681, 255, 756], \"label\": \"banana tree\"},\n {\"box_2d\": [232, 691, 314, 764], \"label\": \"banana tree\"},\n {\"box_2d\": [274, 629, 340, 691], \"label\": \"banana tree\"},\n {\"box_2d\": [316, 691, 399, 767], \"label\": \"banana tree\"},\n {\"box_2d\": [363, 619, 443, 693], \"label\": \"banana tree\"},\n {\"box_2d\": [397, 696, 482, 772], \"label\": \"banana tree\"},\n {\"box_2d\": [449, 623, 512, 698], \"label\": \"banana tree\"},\n {\"box_2d\": [477, 696, 563, 771], \"label\": \"banana tree\"},\n {\"box_2d\": [530, 620, 611, 701], \"label\": \"banana tree\"},\n {\"box_2d\": [568, 703, 648, 778], \"label\": \"banana tree\"},\n {\"box_2d\": [617, 642, 681, 705], \"label\": \"banana tree\"},\n {\"box_2d\": [655, 694, 734, 778], \"label\": \"banana tree\"},\n {\"box_2d\": [696, 621, 769, 709], \"label\": \"banana tree\"},\n {\"box_2d\": [737, 700, 813, 778], \"label\": \"banana tree\"},\n {\"box_2d\": [785, 636, 862, 702], \"label\": \"banana tree\"},\n {\"box_2d\": [823, 693, 905, 768], \"label\": \"banana tree\"},\n {\"box_2d\": [868, 622, 938, 705], \"label\": \"banana tree\"},\n {\"box_2d\": [906, 700, 986, 769], \"label\": \"banana tree\"},\n {\"box_2d\": [954, 623, 1000, 699], \"label\": \"banana tree\"},\n {\"box_2d\": [201, 938, 267, 987], \"label\": \"banana tree\"},\n {\"box_2d\": [284, 926, 371, 995], \"label\": \"banana tree\"},\n {\"box_2d\": [375, 926, 444, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [449, 934, 534, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [540, 919, 623, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [625, 938, 697, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [704, 929, 784, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [794, 945, 862, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [876, 933, 955, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [963, 944, 1000, 995], \"label\": \"banana tree\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 2975, "elapsed_seconds": 25.744041125057265, "metadata": {"match_method": "map", "num_predictions": 48, "num_ground_truth": 47, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9872112274169922, "attempts": 1, "retries": 0, "total_seconds": 25.787}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 61, "image": "egg-detection_image32_jpg.rf.bd04bf65691e0bae0f1d97601289a543.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [176, 694, 255, 753], \"label\": \"egg\"},\n {\"box_2d\": [448, 428, 535, 492], \"label\": \"egg\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 262, "elapsed_seconds": 5.4637175829848275, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 5.5602}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 62, "image": "construction-safety_ppe_0407_jpg.rf.b54d8bba5b223e0515f3d28ff728e79a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [373, 333, 825, 412], \"label\": \"person\"},\n {\"box_2d\": [371, 353, 417, 383], \"label\": \"safety helmet\"},\n {\"box_2d\": [442, 344, 636, 393], \"label\": \"safety vest\"},\n {\"box_2d\": [360, 390, 783, 444], \"label\": \"person\"},\n {\"box_2d\": [357, 405, 405, 434], \"label\": \"safety helmet\"},\n {\"box_2d\": [428, 392, 588, 443], \"label\": \"safety vest\"},\n {\"box_2d\": [343, 456, 736, 511], \"label\": \"person\"},\n {\"box_2d\": [344, 463, 387, 496], \"label\": \"safety helmet\"},\n {\"box_2d\": [419, 457, 614, 506], \"label\": \"safety vest\"},\n {\"box_2d\": [357, 483, 678, 513], \"label\": \"person\"},\n {\"box_2d\": [379, 517, 814, 575], \"label\": \"person\"},\n {\"box_2d\": [378, 536, 439, 567], \"label\": \"safety helmet\"},\n {\"box_2d\": [449, 524, 648, 572], \"label\": \"safety vest\"},\n {\"box_2d\": [401, 579, 809, 636], \"label\": \"person\"},\n {\"box_2d\": [401, 591, 444, 617], \"label\": \"safety helmet\"},\n {\"box_2d\": [461, 582, 651, 630], \"label\": \"safety vest\"},\n {\"box_2d\": [348, 640, 822, 697], \"label\": \"person\"},\n {\"box_2d\": [348, 655, 391, 683], \"label\": \"safety helmet\"},\n {\"box_2d\": [427, 646, 610, 695], \"label\": \"safety vest\"},\n {\"box_2d\": [308, 614, 991, 767], \"label\": \"person\"},\n {\"box_2d\": [307, 699, 376, 743], \"label\": \"safety helmet\"},\n {\"box_2d\": [402, 687, 681, 764], \"label\": \"safety vest\"},\n {\"box_2d\": [359, 731, 862, 777], \"label\": \"person\"},\n {\"box_2d\": [358, 735, 398, 753], \"label\": \"safety helmet\"},\n {\"box_2d\": [332, 811, 899, 896], \"label\": \"person\"},\n {\"box_2d\": [331, 822, 375, 862], \"label\": \"safety helmet\"},\n {\"box_2d\": [415, 826, 637, 891], \"label\": \"safety vest\"}\n]\n```", "correct": true, "input_tokens": 1220, "output_tokens": 2950, "elapsed_seconds": 25.561408250010572, "metadata": {"match_method": "map", "num_predictions": 27, "num_ground_truth": 28, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9603960514068604, "attempts": 1, "retries": 0, "total_seconds": 25.5901}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 63, "image": "IMG_4931_jpg.rf.58c129944a1f2b663c55dbd43e27cf91.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [600, 248, 643, 270], \"label\": \"face\"},\n {\"box_2d\": [631, 341, 675, 364], \"label\": \"face\"},\n {\"box_2d\": [419, 250, 449, 267], \"label\": \"face\"},\n {\"box_2d\": [432, 281, 463, 297], \"label\": \"face\"},\n {\"box_2d\": [420, 375, 449, 391], \"label\": \"face\"},\n {\"box_2d\": [333, 400, 358, 413], \"label\": \"face\"},\n {\"box_2d\": [351, 428, 376, 443], \"label\": \"face\"},\n {\"box_2d\": [306, 492, 326, 503], \"label\": \"face\"},\n {\"box_2d\": [318, 523, 339, 534], \"label\": \"face\"},\n {\"box_2d\": [295, 555, 313, 565], \"label\": \"face\"},\n {\"box_2d\": [293, 606, 312, 616], \"label\": \"face\"},\n {\"box_2d\": [356, 598, 378, 610], \"label\": \"face\"},\n {\"box_2d\": [342, 614, 363, 624], \"label\": \"face\"},\n {\"box_2d\": [365, 623, 386, 635], \"label\": \"face\"},\n {\"box_2d\": [318, 634, 338, 645], \"label\": \"face\"},\n {\"box_2d\": [345, 646, 365, 656], \"label\": \"face\"},\n {\"box_2d\": [333, 695, 355, 706], \"label\": \"face\"},\n {\"box_2d\": [354, 725, 375, 736], \"label\": \"face\"},\n {\"box_2d\": [356, 756, 377, 767], \"label\": \"face\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 2354, "elapsed_seconds": 24.312689666985534, "metadata": {"match_method": "map", "num_predictions": 19, "num_ground_truth": 28, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6362689137458801, "attempts": 1, "retries": 0, "total_seconds": 24.6325}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 64, "image": "tile_232_jpg.rf.d215d900b9cd862d3217f88435d7ad8a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [590, 406, 646, 518], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [626, 546, 716, 744], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [667, 780, 728, 976], \"label\": \"ship in SAR satellite image\"}\n]\n```", "correct": true, "input_tokens": 1229, "output_tokens": 999, "elapsed_seconds": 12.727007666020654, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 12.7564}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 65, "image": "IMG_20250815_164441_jpg.rf.3c12e140b11a4091c99d31ed66a86850.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [94, 637, 150, 665], \"label\": \"barcode\"},\n {\"box_2d\": [147, 262, 203, 290], \"label\": \"barcode\"},\n {\"box_2d\": [155, 418, 181, 446], \"label\": \"barcode\"},\n {\"box_2d\": [181, 511, 235, 538], \"label\": \"barcode\"},\n {\"box_2d\": [499, 486, 525, 514], \"label\": \"barcode\"},\n {\"box_2d\": [502, 324, 558, 353], \"label\": \"barcode\"},\n {\"box_2d\": [506, 629, 561, 657], \"label\": \"barcode\"},\n {\"box_2d\": [513, 209, 568, 237], \"label\": \"barcode\"},\n {\"box_2d\": [535, 838, 589, 868], \"label\": \"barcode\"},\n {\"box_2d\": [597, 37, 623, 67], \"label\": \"barcode\"},\n {\"box_2d\": [604, 229, 629, 258], \"label\": \"barcode\"},\n {\"box_2d\": [612, 372, 639, 401], \"label\": \"barcode\"},\n {\"box_2d\": [616, 519, 641, 548], \"label\": \"barcode\"},\n {\"box_2d\": [621, 666, 646, 694], \"label\": \"barcode\"},\n {\"box_2d\": [629, 837, 654, 866], \"label\": \"barcode\"},\n {\"box_2d\": [633, 978, 657, 1000], \"label\": \"barcode\"},\n {\"box_2d\": [830, 41, 885, 70], \"label\": \"barcode\"},\n {\"box_2d\": [831, 214, 856, 243], \"label\": \"barcode\"},\n {\"box_2d\": [864, 653, 887, 680], \"label\": \"barcode\"},\n {\"box_2d\": [865, 396, 891, 424], \"label\": \"barcode\"},\n {\"box_2d\": [867, 525, 891, 553], \"label\": \"barcode\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 2220, "elapsed_seconds": 22.409089041058905, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 21, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 22.7287}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 66, "image": "car-part-detection_Car-damages-128_png_jpg.rf.e07bc73742c49cec70d8b7dc538a39d2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [555, 57, 773, 112], \"label\": \"front bumper\"},\n {\"box_2d\": [498, 67, 581, 108], \"label\": \"headlight\"},\n {\"box_2d\": [368, 70, 504, 333], \"label\": \"hood\"},\n {\"box_2d\": [228, 300, 416, 456], \"label\": \"windshield\"},\n {\"box_2d\": [344, 380, 418, 419], \"label\": \"mirror\"},\n {\"box_2d\": [221, 350, 415, 597], \"label\": \"front window\"},\n {\"box_2d\": [221, 316, 718, 595], \"label\": \"front door\"},\n {\"box_2d\": [217, 599, 391, 813], \"label\": \"back window\"},\n {\"box_2d\": [217, 563, 703, 814], \"label\": \"back door\"},\n {\"box_2d\": [246, 864, 381, 930], \"label\": \"back windshield\"},\n {\"box_2d\": [353, 895, 479, 933], \"label\": \"tail light\"},\n {\"box_2d\": [494, 855, 720, 951], \"label\": \"back bumper\"}\n]\n```", "correct": true, "input_tokens": 1224, "output_tokens": 1204, "elapsed_seconds": 12.190593749983236, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 13, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9587457776069641, "attempts": 1, "retries": 0, "total_seconds": 12.2152}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 67, "image": "Lego_73_low_jpeg.rf.bf207a14dd8d49e9b00aae2e1a8886e1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [60, 202, 130, 297], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [227, 43, 305, 146], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [188, 239, 260, 335], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [201, 452, 258, 558], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [104, 517, 184, 617], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [38, 678, 136, 786], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [232, 667, 320, 738], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [197, 761, 302, 825], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [185, 811, 287, 858], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [127, 841, 237, 886], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [158, 939, 249, 1000], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [397, 40, 498, 114], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [454, 270, 550, 329], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [413, 427, 483, 536], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [378, 630, 476, 690], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [386, 681, 467, 774], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [409, 728, 486, 812], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [385, 807, 469, 878], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [703, 92, 807, 170], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [608, 294, 659, 410], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [546, 391, 626, 485], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [588, 427, 652, 531], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [713, 395, 759, 498], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [527, 535, 604, 624], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [593, 588, 654, 691], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [718, 631, 783, 733], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [492, 796, 567, 864], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [568, 779, 653, 853], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [527, 851, 623, 947], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [636, 938, 728, 1000], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [705, 847, 790, 930], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [770, 893, 836, 970], \"label\": \"lego 3x2 brick\"}\n]\n```", "correct": true, "input_tokens": 1244, "output_tokens": 6769, "elapsed_seconds": 57.79345170909073, "metadata": {"match_method": "map", "num_predictions": 32, "num_ground_truth": 32, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8577557802200317, "attempts": 2, "retries": 1, "total_seconds": 120.4223, "transient_errors": ["RemoteProtocolError"]}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 68, "image": "IMG_6646_jpeg_jpg.rf.bb15616ff058bc9ba8f9683f61ab5fbb.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [345, 336, 410, 507], \"label\": \"green poker chip\"},\n {\"box_2d\": [388, 338, 427, 509], \"label\": \"green poker chip\"},\n {\"box_2d\": [404, 341, 444, 511], \"label\": \"green poker chip\"},\n {\"box_2d\": [419, 344, 460, 514], \"label\": \"green poker chip\"},\n {\"box_2d\": [433, 348, 477, 517], \"label\": \"green poker chip\"},\n {\"box_2d\": [448, 348, 493, 514], \"label\": \"green poker chip\"},\n {\"box_2d\": [453, 342, 511, 511], \"label\": \"green poker chip\"},\n {\"box_2d\": [311, 529, 372, 711], \"label\": \"green poker chip\"},\n {\"box_2d\": [349, 532, 388, 707], \"label\": \"green poker chip\"},\n {\"box_2d\": [359, 530, 404, 707], \"label\": \"green poker chip\"},\n {\"box_2d\": [376, 531, 421, 707], \"label\": \"green poker chip\"},\n {\"box_2d\": [392, 531, 438, 707], \"label\": \"green poker chip\"},\n {\"box_2d\": [407, 531, 454, 705], \"label\": \"green poker chip\"},\n {\"box_2d\": [421, 531, 469, 703], \"label\": \"green poker chip\"},\n {\"box_2d\": [436, 530, 484, 700], \"label\": \"green poker chip\"},\n {\"box_2d\": [448, 530, 499, 699], \"label\": \"green poker chip\"},\n {\"box_2d\": [460, 545, 522, 719], \"label\": \"green poker chip\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 1751, "elapsed_seconds": 15.943031249917112, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 17, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 15.9658}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 69, "image": "41_jpg.rf.2cb4080a10f215e4bd4d6ed6d4ea3e68.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [23, 382, 86, 624], \"label\": \"blood sample tube\"},\n {\"box_2d\": [18, 619, 82, 867], \"label\": \"blood sample tube\"},\n {\"box_2d\": [78, 384, 144, 622], \"label\": \"blood sample tube\"},\n {\"box_2d\": [75, 626, 141, 877], \"label\": \"blood sample tube\"},\n {\"box_2d\": [134, 464, 200, 710], \"label\": \"blood sample tube\"},\n {\"box_2d\": [175, 629, 275, 885], \"label\": \"blood sample tube\"},\n {\"box_2d\": [23, 867, 355, 920], \"label\": \"blood sample tube\"},\n {\"box_2d\": [90, 328, 349, 513], \"label\": \"blood sample tube\"},\n {\"box_2d\": [230, 496, 535, 620], \"label\": \"blood sample tube\"},\n {\"box_2d\": [338, 376, 608, 551], \"label\": \"blood sample tube\"},\n {\"box_2d\": [355, 474, 646, 625], \"label\": \"blood sample tube\"},\n {\"box_2d\": [231, 237, 549, 326], \"label\": \"blood sample tube\"},\n {\"box_2d\": [467, 179, 706, 382], \"label\": \"blood sample tube\"},\n {\"box_2d\": [549, 333, 731, 563], \"label\": \"blood sample tube\"},\n {\"box_2d\": [555, 416, 738, 643], \"label\": \"blood sample tube\"},\n {\"box_2d\": [304, 616, 610, 750], \"label\": \"blood sample tube\"},\n {\"box_2d\": [395, 636, 684, 791], \"label\": \"blood sample tube\"},\n {\"box_2d\": [364, 720, 681, 845], \"label\": \"blood sample tube\"},\n {\"box_2d\": [345, 829, 681, 888], \"label\": \"blood sample tube\"},\n {\"box_2d\": [353, 877, 689, 929], \"label\": \"blood sample tube\"},\n {\"box_2d\": [676, 669, 738, 929], \"label\": \"blood sample tube\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 2452, "elapsed_seconds": 21.36364908295218, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 21, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 21.3877}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 70, "image": "construction-safety_ppe_0710_jpg.rf.d335438ef5819cfad67cee1d9e8c6eab.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [172, 46, 886, 187], \"label\": \"person\"},\n {\"box_2d\": [172, 103, 232, 162], \"label\": \"safety helmet\"},\n {\"box_2d\": [283, 74, 514, 180], \"label\": \"safety vest\"},\n {\"box_2d\": [224, 148, 889, 281], \"label\": \"person\"},\n {\"box_2d\": [224, 177, 297, 245], \"label\": \"safety helmet\"},\n {\"box_2d\": [341, 165, 588, 273], \"label\": \"safety vest\"},\n {\"box_2d\": [192, 248, 829, 359], \"label\": \"person\"},\n {\"box_2d\": [190, 276, 244, 330], \"label\": \"safety helmet\"},\n {\"box_2d\": [297, 255, 511, 355], \"label\": \"safety vest\"},\n {\"box_2d\": [217, 311, 864, 444], \"label\": \"person\"},\n {\"box_2d\": [217, 347, 275, 404], \"label\": \"safety helmet\"},\n {\"box_2d\": [327, 323, 557, 427], \"label\": \"safety vest\"},\n {\"box_2d\": [220, 434, 839, 570], \"label\": \"person\"},\n {\"box_2d\": [220, 461, 281, 517], \"label\": \"safety helmet\"},\n {\"box_2d\": [327, 449, 540, 547], \"label\": \"safety vest\"},\n {\"box_2d\": [279, 542, 887, 676], \"label\": \"person\"},\n {\"box_2d\": [278, 569, 336, 628], \"label\": \"safety helmet\"},\n {\"box_2d\": [387, 555, 620, 654], \"label\": \"safety vest\"},\n {\"box_2d\": [211, 651, 860, 800], \"label\": \"person\"},\n {\"box_2d\": [210, 698, 267, 754], \"label\": \"safety helmet\"},\n {\"box_2d\": [317, 667, 526, 783], \"label\": \"safety vest\"},\n {\"box_2d\": [222, 740, 954, 931], \"label\": \"person\"},\n {\"box_2d\": [220, 783, 297, 858], \"label\": \"safety helmet\"},\n {\"box_2d\": [334, 762, 570, 899], \"label\": \"safety vest\"}\n]\n```", "correct": true, "input_tokens": 1222, "output_tokens": 1788, "elapsed_seconds": 14.973371208063327, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 24, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 15.0214}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 71, "image": "4103456_ContLeftUpper_f_jpg.rf.6635963edc568c350879157eaf0b4b06.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [387, 16, 418, 39], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [465, 36, 490, 60], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [521, 18, 568, 42], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [525, 98, 558, 125], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [538, 142, 564, 163], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [519, 180, 579, 204], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [362, 178, 414, 202], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [421, 179, 461, 202], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [361, 258, 396, 281], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [411, 259, 464, 282], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [556, 260, 580, 283], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [361, 338, 395, 362], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [413, 339, 462, 362], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [556, 341, 581, 364], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [352, 417, 383, 443], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [416, 419, 464, 443], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [353, 500, 393, 524], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [407, 740, 429, 761], \"label\": \"shipping container wall dent\"}\n]\n```", "correct": false, "input_tokens": 1255, "output_tokens": 2598, "elapsed_seconds": 24.924414832959883, "metadata": {"match_method": "map", "num_predictions": 18, "num_ground_truth": 20, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3564356565475464, "attempts": 1, "retries": 0, "total_seconds": 25.0017}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 72, "image": "V000087_0_0-Drive-Shaft_jpeg_jpg.rf.148a90e2fb96f98fb22ea082d09655d1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [172, 349, 214, 448], \"label\": \"surface roughness symbol\"},\n {\"box_2d\": [164, 434, 222, 497], \"label\": \"dimension annotation\"},\n {\"box_2d\": [168, 492, 241, 567], \"label\": \"dimension annotation\"},\n {\"box_2d\": [185, 554, 222, 631], \"label\": \"dimension annotation\"},\n {\"box_2d\": [244, 490, 291, 553], \"label\": \"dimension annotation\"},\n {\"box_2d\": [244, 550, 291, 667], \"label\": \"dimension annotation\"},\n {\"box_2d\": [268, 312, 321, 434], \"label\": \"dimension annotation\"},\n {\"box_2d\": [264, 432, 321, 577], \"label\": \"dimension annotation\"},\n {\"box_2d\": [155, 675, 262, 812], \"label\": \"dimension annotation\"},\n {\"box_2d\": [143, 757, 281, 906], \"label\": \"dimension annotation\"},\n {\"box_2d\": [484, 216, 541, 578], \"label\": \"dimension annotation\"},\n {\"box_2d\": [437, 575, 476, 626], \"label\": \"dimension annotation\"},\n {\"box_2d\": [469, 575, 517, 625], \"label\": \"dimension annotation\"},\n {\"box_2d\": [428, 575, 485, 670], \"label\": \"dimension annotation\"},\n {\"box_2d\": [800, 95, 967, 954], \"label\": \"technical drawing table\"}\n]\n```", "correct": false, "input_tokens": 1237, "output_tokens": 1900, "elapsed_seconds": 17.20452587492764, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.666666567325592, "attempts": 1, "retries": 0, "total_seconds": 17.2134}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 73, "image": "1_000290_png.rf.2ed72f4c5f09c4e50e5326dbdb424cd7.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [80, 563, 91, 591], \"label\": \"tire spike normal\"},\n {\"box_2d\": [94, 771, 108, 798], \"label\": \"tire spike normal\"},\n {\"box_2d\": [114, 259, 127, 286], \"label\": \"tire spike normal\"},\n {\"box_2d\": [134, 351, 146, 378], \"label\": \"tire spike normal\"},\n {\"box_2d\": [134, 746, 148, 774], \"label\": \"tire spike normal\"},\n {\"box_2d\": [158, 646, 172, 677], \"label\": \"tire spike normal\"},\n {\"box_2d\": [205, 429, 219, 458], \"label\": \"tire spike normal\"},\n {\"box_2d\": [217, 274, 232, 301], \"label\": \"tire spike normal\"},\n {\"box_2d\": [236, 563, 252, 594], \"label\": \"tire spike normal\"},\n {\"box_2d\": [248, 723, 266, 755], \"label\": \"tire spike normal\"},\n {\"box_2d\": [296, 495, 313, 525], \"label\": \"tire spike normal\"},\n {\"box_2d\": [301, 217, 319, 245], \"label\": \"tire spike normal\"},\n {\"box_2d\": [337, 778, 358, 810], \"label\": \"tire spike normal\"},\n {\"box_2d\": [381, 365, 398, 397], \"label\": \"tire spike normal\"},\n {\"box_2d\": [424, 622, 443, 655], \"label\": \"tire spike normal\"},\n {\"box_2d\": [450, 396, 467, 428], \"label\": \"tire spike normal\"},\n {\"box_2d\": [456, 200, 476, 230], \"label\": \"tire spike normal\"},\n {\"box_2d\": [494, 589, 516, 623], \"label\": \"tire spike normal\"},\n {\"box_2d\": [499, 787, 521, 820], \"label\": \"tire spike normal\"},\n {\"box_2d\": [535, 246, 559, 279], \"label\": \"tire spike normal\"},\n {\"box_2d\": [583, 738, 609, 772], \"label\": \"tire spike normal\"},\n {\"box_2d\": [640, 415, 663, 448], \"label\": \"tire spike absent\"},\n {\"box_2d\": [654, 171, 678, 202], \"label\": \"tire spike normal\"},\n {\"box_2d\": [695, 566, 717, 597], \"label\": \"tire spike normal\"},\n {\"box_2d\": [705, 814, 730, 848], \"label\": \"tire spike normal\"},\n {\"box_2d\": [758, 204, 779, 234], \"label\": \"tire spike normal\"},\n {\"box_2d\": [812, 781, 839, 815], \"label\": \"tire spike normal\"},\n {\"box_2d\": [826, 316, 848, 349], \"label\": \"tire spike normal\"},\n {\"box_2d\": [880, 667, 902, 699], \"label\": \"tire spike normal\"},\n {\"box_2d\": [889, 488, 914, 524], \"label\": \"tire spike normal\"}\n]\n```", "correct": false, "input_tokens": 1215, "output_tokens": 2849, "elapsed_seconds": 25.963980708038434, "metadata": {"match_method": "map", "num_predictions": 30, "num_ground_truth": 35, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.4438251256942749, "attempts": 1, "retries": 0, "total_seconds": 26.0019}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 74, "image": "GP010212_JPG_jpg.rf.6a034cdac286be2f0a162b6bfc04e1c0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [254, 198, 362, 386], \"label\": \"carrot\"},\n {\"box_2d\": [269, 231, 377, 444], \"label\": \"carrot\"},\n {\"box_2d\": [231, 498, 273, 720], \"label\": \"carrot\"},\n {\"box_2d\": [253, 448, 314, 608], \"label\": \"carrot\"},\n {\"box_2d\": [278, 505, 369, 681], \"label\": \"carrot\"},\n {\"box_2d\": [320, 488, 391, 648], \"label\": \"carrot\"},\n {\"box_2d\": [338, 431, 412, 584], \"label\": \"carrot\"},\n {\"box_2d\": [297, 672, 452, 703], \"label\": \"carrot\"},\n {\"box_2d\": [380, 523, 444, 688], \"label\": \"carrot\"},\n {\"box_2d\": [364, 248, 408, 486], \"label\": \"carrot\"},\n {\"box_2d\": [355, 95, 495, 259], \"label\": \"carrot\"},\n {\"box_2d\": [373, 184, 506, 289], \"label\": \"carrot\"},\n {\"box_2d\": [497, 108, 634, 236], \"label\": \"carrot\"},\n {\"box_2d\": [478, 209, 623, 353], \"label\": \"carrot\"},\n {\"box_2d\": [628, 208, 670, 428], \"label\": \"carrot\"},\n {\"box_2d\": [533, 300, 661, 491], \"label\": \"carrot\"},\n {\"box_2d\": [397, 327, 434, 503], \"label\": \"carrot\"},\n {\"box_2d\": [427, 366, 455, 514], \"label\": \"carrot\"},\n {\"box_2d\": [427, 284, 520, 491], \"label\": \"carrot\"},\n {\"box_2d\": [470, 284, 527, 455], \"label\": \"carrot\"},\n {\"box_2d\": [456, 403, 522, 567], \"label\": \"carrot\"},\n {\"box_2d\": [450, 441, 489, 650], \"label\": \"carrot\"},\n {\"box_2d\": [522, 427, 553, 591], \"label\": \"carrot\"},\n {\"box_2d\": [531, 331, 589, 583], \"label\": \"carrot\"},\n {\"box_2d\": [488, 616, 569, 809], \"label\": \"carrot\"},\n {\"box_2d\": [573, 527, 611, 725], \"label\": \"carrot\"},\n {\"box_2d\": [608, 559, 644, 723], \"label\": \"carrot\"},\n {\"box_2d\": [628, 527, 686, 769], \"label\": \"carrot\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 2833, "elapsed_seconds": 25.661497125052847, "metadata": {"match_method": "map", "num_predictions": 28, "num_ground_truth": 28, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 25.6866}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 75, "image": "egg-detection_image25_jpg.rf.5c4d3f7ce6887203cc33b5f86e849ef9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [74, 751, 145, 799], \"label\": \"egg\"},\n {\"box_2d\": [90, 798, 159, 840], \"label\": \"egg\"},\n {\"box_2d\": [114, 715, 186, 765], \"label\": \"egg\"},\n {\"box_2d\": [242, 394, 329, 453], \"label\": \"egg\"},\n {\"box_2d\": [264, 689, 350, 751], \"label\": \"egg\"},\n {\"box_2d\": [290, 810, 364, 855], \"label\": \"egg\"},\n {\"box_2d\": [326, 661, 405, 712], \"label\": \"egg\"},\n {\"box_2d\": [373, 581, 466, 632], \"label\": \"egg\"},\n {\"box_2d\": [399, 809, 472, 855], \"label\": \"egg\"},\n {\"box_2d\": [495, 444, 580, 505], \"label\": \"egg\"},\n {\"box_2d\": [564, 521, 646, 580], \"label\": \"egg\"},\n {\"box_2d\": [616, 485, 720, 533], \"label\": \"egg\"},\n {\"box_2d\": [683, 430, 760, 489], \"label\": \"egg\"},\n {\"box_2d\": [854, 600, 932, 654], \"label\": \"egg\"},\n {\"box_2d\": [846, 678, 921, 731], \"label\": \"egg\"},\n {\"box_2d\": [836, 745, 904, 790], \"label\": \"egg\"},\n {\"box_2d\": [888, 710, 962, 756], \"label\": \"egg\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 1184, "elapsed_seconds": 14.948740791995078, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 17, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 15.0339}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 76, "image": "94D76C4A-9650-486B-8278-406A692F552F_jpg.rf.441749660b1bde146bfdbfa517d4e058.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [195, 358, 241, 404], \"label\": \"pill\"},\n {\"box_2d\": [188, 413, 234, 459], \"label\": \"pill\"},\n {\"box_2d\": [182, 490, 227, 535], \"label\": \"pill\"},\n {\"box_2d\": [164, 577, 209, 622], \"label\": \"pill\"},\n {\"box_2d\": [166, 623, 211, 669], \"label\": \"pill\"},\n {\"box_2d\": [198, 661, 244, 708], \"label\": \"pill\"},\n {\"box_2d\": [234, 435, 280, 481], \"label\": \"pill\"},\n {\"box_2d\": [268, 461, 314, 506], \"label\": \"pill\"},\n {\"box_2d\": [264, 562, 310, 607], \"label\": \"pill\"},\n {\"box_2d\": [269, 605, 315, 651], \"label\": \"pill\"},\n {\"box_2d\": [298, 660, 345, 708], \"label\": \"pill\"},\n {\"box_2d\": [322, 434, 368, 479], \"label\": \"pill\"},\n {\"box_2d\": [309, 475, 355, 520], \"label\": \"pill\"},\n {\"box_2d\": [321, 518, 367, 564], \"label\": \"pill\"},\n {\"box_2d\": [318, 591, 364, 637], \"label\": \"pill\"},\n {\"box_2d\": [342, 639, 389, 686], \"label\": \"pill\"},\n {\"box_2d\": [361, 707, 408, 755], \"label\": \"pill\"},\n {\"box_2d\": [360, 498, 406, 544], \"label\": \"pill\"},\n {\"box_2d\": [360, 542, 406, 587], \"label\": \"pill\"},\n {\"box_2d\": [386, 579, 432, 625], \"label\": \"pill\"},\n {\"box_2d\": [387, 625, 433, 672], \"label\": \"pill\"},\n {\"box_2d\": [408, 668, 454, 715], \"label\": \"pill\"},\n {\"box_2d\": [385, 455, 431, 501], \"label\": \"pill\"},\n {\"box_2d\": [416, 425, 461, 471], \"label\": \"pill\"},\n {\"box_2d\": [408, 509, 454, 555], \"label\": \"pill\"},\n {\"box_2d\": [423, 549, 469, 595], \"label\": \"pill\"},\n {\"box_2d\": [443, 586, 490, 632], \"label\": \"pill\"},\n {\"box_2d\": [455, 676, 501, 723], \"label\": \"pill\"},\n {\"box_2d\": [452, 517, 498, 563], \"label\": \"pill\"},\n {\"box_2d\": [485, 574, 532, 621], \"label\": \"pill\"},\n {\"box_2d\": [496, 633, 543, 680], \"label\": \"pill\"},\n {\"box_2d\": [500, 485, 546, 532], \"label\": \"pill\"},\n {\"box_2d\": [345, 274, 391, 320], \"label\": \"pill\"},\n {\"box_2d\": [364, 338, 410, 384], \"label\": \"pill\"},\n {\"box_2d\": [386, 300, 432, 346], \"label\": \"pill\"},\n {\"box_2d\": [404, 359, 450, 405], \"label\": \"pill\"},\n {\"box_2d\": [433, 237, 479, 283], \"label\": \"pill\"},\n {\"box_2d\": [426, 285, 472, 331], \"label\": \"pill\"},\n {\"box_2d\": [468, 280, 514, 326], \"label\": \"pill\"},\n {\"box_2d\": [468, 330, 514, 376], \"label\": \"pill\"},\n {\"box_2d\": [525, 302, 572, 348], \"label\": \"pill\"},\n {\"box_2d\": [513, 403, 560, 450], \"label\": \"pill\"},\n {\"box_2d\": [615, 342, 661, 390], \"label\": \"pill\"},\n {\"box_2d\": [602, 659, 650, 707], \"label\": \"pill\"},\n {\"box_2d\": [731, 205, 779, 250], \"label\": \"pill\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 3299, "elapsed_seconds": 31.60467691696249, "metadata": {"match_method": "map", "num_predictions": 45, "num_ground_truth": 45, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 31.9061}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 77, "image": "IMG_3989_JPG.rf.c4cc3b74f996b28db8e9373b455775a3.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [412, 411, 448, 430], \"label\": \"face\"},\n {\"box_2d\": [302, 381, 330, 395], \"label\": \"face\"},\n {\"box_2d\": [302, 332, 328, 345], \"label\": \"face\"},\n {\"box_2d\": [400, 598, 423, 611], \"label\": \"face\"},\n {\"box_2d\": [270, 459, 291, 471], \"label\": \"face\"},\n {\"box_2d\": [205, 310, 226, 322], \"label\": \"face\"},\n {\"box_2d\": [213, 337, 233, 347], \"label\": \"face\"},\n {\"box_2d\": [200, 277, 223, 288], \"label\": \"face\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 1624, "elapsed_seconds": 16.85456649994012, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5631188154220581, "attempts": 1, "retries": 0, "total_seconds": 17.1656}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 78, "image": "basketball-player-detection_boston-celtics-new-york-knicks-game-4-q1-01-22-01-16-0112_png.rf.813de841eef35ee5de0aa209e2d3e51f.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [220, 224, 255, 244], \"label\": \"basketball\"},\n {\"box_2d\": [299, 177, 599, 229], \"label\": \"player taking jump shot\"},\n {\"box_2d\": [299, 177, 599, 229], \"label\": \"player\"},\n {\"box_2d\": [309, 221, 581, 317], \"label\": \"player\"},\n {\"box_2d\": [609, 249, 879, 315], \"label\": \"player\"},\n {\"box_2d\": [515, 400, 769, 453], \"label\": \"player\"},\n {\"box_2d\": [295, 353, 491, 411], \"label\": \"player\"},\n {\"box_2d\": [228, 304, 412, 359], \"label\": \"player\"},\n {\"box_2d\": [281, 591, 463, 634], \"label\": \"player\"},\n {\"box_2d\": [219, 609, 384, 646], \"label\": \"player\"},\n {\"box_2d\": [511, 720, 726, 787], \"label\": \"player\"},\n {\"box_2d\": [624, 819, 821, 871], \"label\": \"player\"},\n {\"box_2d\": [687, 576, 868, 623], \"label\": \"referee\"},\n {\"box_2d\": [269, 767, 459, 801], \"label\": \"referee\"},\n {\"box_2d\": [246, 0, 434, 43], \"label\": \"referee\"},\n {\"box_2d\": [224, 714, 283, 754], \"label\": \"basket rim\"},\n {\"box_2d\": [677, 278, 707, 290], \"label\": \"jersey number\"},\n {\"box_2d\": [691, 839, 721, 853], \"label\": \"jersey number\"},\n {\"box_2d\": [396, 263, 416, 277], \"label\": \"jersey number\"},\n {\"box_2d\": [335, 379, 357, 389], \"label\": \"jersey number\"},\n {\"box_2d\": [555, 430, 581, 444], \"label\": \"jersey number\"},\n {\"box_2d\": [572, 753, 591, 763], \"label\": \"jersey number\"},\n {\"box_2d\": [408, 181, 433, 188], \"label\": \"jersey number\"},\n {\"box_2d\": [742, 596, 767, 609], \"label\": \"jersey number\"}\n]\n```", "correct": false, "input_tokens": 1251, "output_tokens": 2638, "elapsed_seconds": 24.201555999927223, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 25, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7671616673469543, "attempts": 1, "retries": 0, "total_seconds": 24.287}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 79, "image": "Screenshot-2024-05-16-150258_png.rf.730fbfcbd2cdbb24d8003d2a2cd88782.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [65, 13, 94, 43], \"label\": \"bullet hole\"},\n {\"box_2d\": [113, 102, 141, 132], \"label\": \"bullet hole\"},\n {\"box_2d\": [170, 193, 200, 224], \"label\": \"bullet hole\"},\n {\"box_2d\": [183, 344, 213, 377], \"label\": \"bullet hole\"},\n {\"box_2d\": [251, 482, 279, 513], \"label\": \"bullet hole\"},\n {\"box_2d\": [0, 608, 25, 640], \"label\": \"bullet hole\"},\n {\"box_2d\": [57, 767, 88, 799], \"label\": \"bullet hole\"},\n {\"box_2d\": [104, 896, 135, 929], \"label\": \"bullet hole\"},\n {\"box_2d\": [142, 816, 174, 848], \"label\": \"bullet hole\"},\n {\"box_2d\": [160, 684, 190, 715], \"label\": \"bullet hole\"},\n {\"box_2d\": [237, 739, 273, 773], \"label\": \"bullet hole\"},\n {\"box_2d\": [234, 905, 267, 941], \"label\": \"bullet hole\"},\n {\"box_2d\": [326, 801, 360, 835], \"label\": \"bullet hole\"},\n {\"box_2d\": [351, 976, 381, 1000], \"label\": \"bullet hole\"},\n {\"box_2d\": [398, 725, 430, 762], \"label\": \"bullet hole\"},\n {\"box_2d\": [452, 820, 483, 852], \"label\": \"bullet hole\"},\n {\"box_2d\": [434, 618, 466, 654], \"label\": \"bullet hole\"},\n {\"box_2d\": [485, 695, 519, 733], \"label\": \"bullet hole\"},\n {\"box_2d\": [529, 789, 558, 827], \"label\": \"bullet hole\"},\n {\"box_2d\": [336, 0, 366, 23], \"label\": \"bullet hole\"},\n {\"box_2d\": [438, 221, 470, 252], \"label\": \"bullet hole\"},\n {\"box_2d\": [700, 415, 730, 449], \"label\": \"bullet hole\"},\n {\"box_2d\": [876, 355, 905, 388], \"label\": \"bullet hole\"},\n {\"box_2d\": [982, 185, 1000, 215], \"label\": \"bullet hole\"},\n {\"box_2d\": [900, 610, 930, 643], \"label\": \"bullet hole\"},\n {\"box_2d\": [660, 685, 690, 717], \"label\": \"bullet hole\"},\n {\"box_2d\": [719, 894, 752, 927], \"label\": \"bullet hole\"},\n {\"box_2d\": [818, 847, 848, 879], \"label\": \"bullet hole\"},\n {\"box_2d\": [831, 930, 862, 961], \"label\": \"bullet hole\"},\n {\"box_2d\": [920, 920, 948, 952], \"label\": \"bullet hole\"}\n]\n```", "correct": false, "input_tokens": 1226, "output_tokens": 3098, "elapsed_seconds": 25.980265000020154, "metadata": {"match_method": "map", "num_predictions": 30, "num_ground_truth": 30, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.515654444694519, "attempts": 1, "retries": 0, "total_seconds": 25.9968}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 80, "image": "AF6880-9_2025_NCPT-128_JPG_jpg.rf.58feab8edece278692e9ee124939da54.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [221, 195, 297, 224], \"label\": \"potato\"},\n {\"box_2d\": [440, 193, 504, 222], \"label\": \"potato\"},\n {\"box_2d\": [506, 194, 573, 224], \"label\": \"potato\"},\n {\"box_2d\": [571, 189, 642, 222], \"label\": \"potato\"},\n {\"box_2d\": [645, 184, 731, 223], \"label\": \"potato\"},\n {\"box_2d\": [731, 188, 845, 232], \"label\": \"potato\"},\n {\"box_2d\": [34, 249, 86, 268], \"label\": \"potato\"},\n {\"box_2d\": [265, 241, 353, 266], \"label\": \"potato\"},\n {\"box_2d\": [416, 232, 517, 270], \"label\": \"potato\"},\n {\"box_2d\": [573, 228, 653, 267], \"label\": \"potato\"},\n {\"box_2d\": [907, 224, 1000, 266], \"label\": \"potato\"},\n {\"box_2d\": [153, 284, 241, 317], \"label\": \"potato\"},\n {\"box_2d\": [304, 279, 381, 309], \"label\": \"potato\"},\n {\"box_2d\": [381, 275, 466, 316], \"label\": \"potato\"},\n {\"box_2d\": [496, 273, 584, 310], \"label\": \"potato\"},\n {\"box_2d\": [582, 280, 640, 308], \"label\": \"potato\"},\n {\"box_2d\": [638, 273, 722, 311], \"label\": \"potato\"},\n {\"box_2d\": [853, 271, 968, 317], \"label\": \"potato\"},\n {\"box_2d\": [6, 322, 91, 359], \"label\": \"potato\"},\n {\"box_2d\": [93, 324, 168, 356], \"label\": \"potato\"},\n {\"box_2d\": [168, 326, 241, 357], \"label\": \"potato\"},\n {\"box_2d\": [241, 328, 336, 360], \"label\": \"potato\"},\n {\"box_2d\": [334, 310, 455, 357], \"label\": \"potato\"},\n {\"box_2d\": [502, 315, 597, 360], \"label\": \"potato\"},\n {\"box_2d\": [603, 316, 720, 363], \"label\": \"potato\"},\n {\"box_2d\": [713, 316, 795, 351], \"label\": \"potato\"},\n {\"box_2d\": [793, 320, 905, 363], \"label\": \"potato\"},\n {\"box_2d\": [909, 322, 987, 352], \"label\": \"potato\"},\n {\"box_2d\": [26, 376, 82, 400], \"label\": \"potato\"},\n {\"box_2d\": [80, 368, 172, 406], \"label\": \"potato\"},\n {\"box_2d\": [172, 357, 295, 406], \"label\": \"potato\"},\n {\"box_2d\": [319, 359, 422, 406], \"label\": \"potato\"},\n {\"box_2d\": [420, 351, 526, 403], \"label\": \"potato\"},\n {\"box_2d\": [528, 367, 614, 403], \"label\": \"potato\"},\n {\"box_2d\": [728, 364, 845, 400], \"label\": \"potato\"},\n {\"box_2d\": [836, 368, 901, 390], \"label\": \"potato\"},\n {\"box_2d\": [9, 424, 39, 441], \"label\": \"potato\"},\n {\"box_2d\": [32, 409, 151, 456], \"label\": \"potato\"},\n {\"box_2d\": [153, 408, 263, 446], \"label\": \"potato\"},\n {\"box_2d\": [280, 420, 317, 439], \"label\": \"potato\"},\n {\"box_2d\": [312, 409, 405, 445], \"label\": \"potato\"},\n {\"box_2d\": [442, 407, 552, 452], \"label\": \"potato\"},\n {\"box_2d\": [666, 404, 784, 448], \"label\": \"potato\"},\n {\"box_2d\": [780, 411, 843, 437], \"label\": \"potato\"},\n {\"box_2d\": [841, 410, 927, 441], \"label\": \"potato\"},\n {\"box_2d\": [73, 466, 112, 486], \"label\": \"potato\"},\n {\"box_2d\": [110, 455, 200, 489], \"label\": \"potato\"},\n {\"box_2d\": [265, 450, 366, 492], \"label\": \"potato\"},\n {\"box_2d\": [407, 447, 509, 491], \"label\": \"potato\"},\n {\"box_2d\": [509, 452, 582, 487], \"label\": \"potato\"},\n {\"box_2d\": [580, 451, 688, 494], \"label\": \"potato\"},\n {\"box_2d\": [688, 447, 791, 489], \"label\": \"potato\"},\n {\"box_2d\": [825, 446, 925, 485], \"label\": \"potato\"},\n {\"box_2d\": [933, 452, 1000, 485], \"label\": \"potato\"},\n {\"box_2d\": [39, 504, 125, 538], \"label\": \"potato\"},\n {\"box_2d\": [123, 500, 218, 540], \"label\": \"potato\"},\n {\"box_2d\": [259, 502, 345, 539], \"label\": \"potato\"},\n {\"box_2d\": [362, 496, 468, 535], \"label\": \"potato\"},\n {\"box_2d\": [468, 500, 554, 533], \"label\": \"potato\"},\n {\"box_2d\": [558, 497, 642, 528], \"label\": \"potato\"},\n {\"box_2d\": [843, 485, 950, 532], \"label\": \"potato\"},\n {\"box_2d\": [0, 539, 114, 591], \"label\": \"potato\"},\n {\"box_2d\": [112, 542, 220, 591], \"label\": \"potato\"},\n {\"box_2d\": [213, 548, 289, 578], \"label\": \"potato\"},\n {\"box_2d\": [289, 546, 373, 577], \"label\": \"potato\"},\n {\"box_2d\": [392, 541, 494, 578], \"label\": \"potato\"},\n {\"box_2d\": [498, 532, 616, 575], \"label\": \"potato\"},\n {\"box_2d\": [690, 539, 797, 583], \"label\": \"potato\"},\n {\"box_2d\": [4, 590, 110, 633], \"label\": \"potato\"},\n {\"box_2d\": [125, 589, 222, 631], \"label\": \"potato\"},\n {\"box_2d\": [401, 588, 504, 624], \"label\": \"potato\"},\n {\"box_2d\": [886, 584, 970, 612], \"label\": \"potato\"},\n {\"box_2d\": [39, 631, 138, 669], \"label\": \"potato\"},\n {\"box_2d\": [494, 626, 599, 661], \"label\": \"potato\"},\n {\"box_2d\": [610, 630, 716, 665], \"label\": \"potato\"},\n {\"box_2d\": [216, 671, 334, 716], \"label\": \"potato\"},\n {\"box_2d\": [513, 680, 571, 702], \"label\": \"potato\"},\n {\"box_2d\": [774, 675, 838, 698], \"label\": \"potato\"},\n {\"box_2d\": [95, 722, 157, 750], \"label\": \"potato\"},\n {\"box_2d\": [211, 721, 304, 756], \"label\": \"potato\"},\n {\"box_2d\": [481, 708, 580, 747], \"label\": \"potato\"},\n {\"box_2d\": [119, 761, 237, 812], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 6219, "elapsed_seconds": 57.394387874985114, "metadata": {"match_method": "map", "num_predictions": 82, "num_ground_truth": 82, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 57.8532}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 81, "image": "GP010253_JPG_jpg.rf.617173565602dbb2684e6af5ddab9032.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [48, 546, 179, 868], \"label\": \"carrot\"},\n {\"box_2d\": [138, 558, 206, 853], \"label\": \"carrot\"},\n {\"box_2d\": [156, 399, 268, 694], \"label\": \"carrot\"},\n {\"box_2d\": [184, 412, 304, 709], \"label\": \"carrot\"},\n {\"box_2d\": [178, 355, 355, 495], \"label\": \"carrot\"},\n {\"box_2d\": [188, 390, 331, 513], \"label\": \"carrot\"},\n {\"box_2d\": [195, 725, 296, 863], \"label\": \"carrot\"},\n {\"box_2d\": [279, 381, 467, 570], \"label\": \"carrot\"},\n {\"box_2d\": [282, 509, 405, 773], \"label\": \"carrot\"},\n {\"box_2d\": [304, 487, 461, 791], \"label\": \"carrot\"},\n {\"box_2d\": [313, 608, 441, 798], \"label\": \"carrot\"},\n {\"box_2d\": [448, 305, 639, 372], \"label\": \"carrot\"},\n {\"box_2d\": [481, 351, 557, 560], \"label\": \"carrot\"},\n {\"box_2d\": [485, 428, 667, 528], \"label\": \"carrot\"},\n {\"box_2d\": [517, 434, 766, 496], \"label\": \"carrot\"},\n {\"box_2d\": [568, 520, 790, 571], \"label\": \"carrot\"},\n {\"box_2d\": [456, 543, 735, 626], \"label\": \"carrot\"},\n {\"box_2d\": [559, 610, 813, 657], \"label\": \"carrot\"},\n {\"box_2d\": [634, 627, 839, 716], \"label\": \"carrot\"},\n {\"box_2d\": [549, 690, 813, 756], \"label\": \"carrot\"},\n {\"box_2d\": [413, 726, 643, 800], \"label\": \"carrot\"},\n {\"box_2d\": [726, 696, 886, 868], \"label\": \"carrot\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 2302, "elapsed_seconds": 21.705020915949717, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 21.7223}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 82, "image": "1704195139272_jpg.rf.6a6621507dbbf3a3fbb417d17569c709.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [84, 662, 126, 709], \"label\": \"lentil grain\"},\n {\"box_2d\": [216, 344, 258, 386], \"label\": \"lentil grain\"},\n {\"box_2d\": [219, 568, 263, 617], \"label\": \"lentil grain\"},\n {\"box_2d\": [392, 378, 434, 421], \"label\": \"lentil grain\"},\n {\"box_2d\": [410, 562, 450, 609], \"label\": \"lentil grain\"},\n {\"box_2d\": [408, 617, 446, 662], \"label\": \"lentil grain\"},\n {\"box_2d\": [543, 421, 581, 463], \"label\": \"lentil grain\"},\n {\"box_2d\": [672, 611, 712, 657], \"label\": \"lentil grain\"},\n {\"box_2d\": [738, 388, 777, 430], \"label\": \"lentil grain\"},\n {\"box_2d\": [743, 728, 787, 780], \"label\": \"lentil grain\"},\n {\"box_2d\": [900, 401, 943, 448], \"label\": \"lentil grain\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 1129, "elapsed_seconds": 11.940199957927689, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 11.9531}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 83, "image": "preannot1_326_png.rf.9e036dcc9355b37dec6ff1b3aff71d0b.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [66, 620, 75, 636], \"label\": \"tire spike normal\"},\n {\"box_2d\": [108, 359, 118, 376], \"label\": \"tire spike normal\"},\n {\"box_2d\": [143, 328, 153, 344], \"label\": \"tire spike normal\"},\n {\"box_2d\": [168, 544, 180, 560], \"label\": \"tire spike normal\"},\n {\"box_2d\": [184, 619, 196, 637], \"label\": \"tire spike normal\"},\n {\"box_2d\": [215, 440, 226, 456], \"label\": \"tire spike normal\"},\n {\"box_2d\": [227, 666, 240, 686], \"label\": \"tire spike normal\"},\n {\"box_2d\": [231, 362, 244, 382], \"label\": \"tire spike normal\"},\n {\"box_2d\": [274, 314, 287, 336], \"label\": \"tire spike normal\"},\n {\"box_2d\": [280, 619, 294, 640], \"label\": \"tire spike normal\"},\n {\"box_2d\": [324, 660, 339, 680], \"label\": \"tire spike normal\"},\n {\"box_2d\": [332, 355, 346, 376], \"label\": \"tire spike normal\"},\n {\"box_2d\": [386, 632, 403, 657], \"label\": \"tire spike normal\"},\n {\"box_2d\": [426, 434, 443, 458], \"label\": \"tire spike normal\"},\n {\"box_2d\": [439, 328, 455, 350], \"label\": \"tire spike normal\"},\n {\"box_2d\": [493, 326, 508, 347], \"label\": \"tire spike normal\"},\n {\"box_2d\": [505, 623, 521, 645], \"label\": \"tire spike normal\"},\n {\"box_2d\": [557, 363, 574, 386], \"label\": \"tire spike normal\"},\n {\"box_2d\": [599, 549, 616, 571], \"label\": \"tire spike normal\"},\n {\"box_2d\": [610, 329, 625, 351], \"label\": \"tire spike normal\"},\n {\"box_2d\": [611, 642, 628, 664], \"label\": \"tire spike normal\"},\n {\"box_2d\": [662, 675, 678, 697], \"label\": \"tire spike normal\"},\n {\"box_2d\": [712, 427, 728, 448], \"label\": \"tire spike normal\"},\n {\"box_2d\": [726, 649, 742, 671], \"label\": \"tire spike normal\"},\n {\"box_2d\": [739, 369, 753, 389], \"label\": \"tire spike normal\"},\n {\"box_2d\": [777, 319, 789, 339], \"label\": \"tire spike normal\"},\n {\"box_2d\": [777, 676, 791, 697], \"label\": \"tire spike normal\"},\n {\"box_2d\": [833, 628, 847, 648], \"label\": \"tire spike normal\"},\n {\"box_2d\": [862, 451, 874, 469], \"label\": \"tire spike normal\"},\n {\"box_2d\": [875, 381, 886, 400], \"label\": \"tire spike normal\"}\n]\n```", "correct": false, "input_tokens": 1202, "output_tokens": 2660, "elapsed_seconds": 22.48358383390587, "metadata": {"match_method": "map", "num_predictions": 30, "num_ground_truth": 42, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6716171503067017, "attempts": 1, "retries": 0, "total_seconds": 22.574}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 84, "image": "fall-detection_cameraOne-blue-before_mp4-10_jpg.rf.e26a811f1502cc342db7badfe48642d4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [581, 550, 725, 727], \"label\": \"fallen person\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 248, "elapsed_seconds": 4.73818645789288, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 4.7562}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 85, "image": "IMG_3898_JPG.rf.7efec82c7f803d0db60f9543524df2d2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [329, 81, 421, 224], \"label\": \"100 poker chip\"},\n {\"box_2d\": [306, 221, 396, 360], \"label\": \"500 poker chip\"},\n {\"box_2d\": [362, 315, 459, 460], \"label\": \"10 poker chip\"},\n {\"box_2d\": [379, 454, 477, 600], \"label\": \"5 poker chip\"},\n {\"box_2d\": [302, 610, 393, 754], \"label\": \"100 poker chip\"},\n {\"box_2d\": [354, 734, 450, 884], \"label\": \"100 poker chip\"},\n {\"box_2d\": [396, 603, 495, 755], \"label\": \"500 poker chip\"},\n {\"box_2d\": [413, 145, 514, 297], \"label\": \"50 poker chip\"},\n {\"box_2d\": [485, 237, 595, 394], \"label\": \"20 poker chip\"},\n {\"box_2d\": [465, 392, 574, 546], \"label\": \"50 poker chip\"},\n {\"box_2d\": [492, 606, 604, 769], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [594, 211, 720, 381], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [551, 475, 672, 639], \"label\": \"50 poker chip\"},\n {\"box_2d\": [588, 702, 714, 875], \"label\": \"10000 poker chip\"},\n {\"box_2d\": [639, 361, 773, 535], \"label\": \"10 poker chip\"},\n {\"box_2d\": [680, 598, 820, 779], \"label\": \"10 poker chip\"},\n {\"box_2d\": [751, 446, 902, 634], \"label\": \"5 poker chip\"}\n]\n```", "correct": true, "input_tokens": 1252, "output_tokens": 2028, "elapsed_seconds": 27.359284749953076, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 18, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9579207897186279, "attempts": 1, "retries": 0, "total_seconds": 27.9436}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 86, "image": "2024-12-05T02-00-59-875Z-1008_jpg.rf.e6de2a9a15084a14389fc0bcc250e3a1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [304, 461, 370, 497], \"label\": \"screw\"},\n {\"box_2d\": [639, 933, 699, 976], \"label\": \"screw\"},\n {\"box_2d\": [742, 792, 807, 836], \"label\": \"screw\"},\n {\"box_2d\": [644, 826, 799, 942], \"label\": \"wire hole\"}\n]\n```", "correct": false, "input_tokens": 1203, "output_tokens": 931, "elapsed_seconds": 12.816356332972646, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 6, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6353134512901306, "attempts": 1, "retries": 0, "total_seconds": 12.9697}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 87, "image": "IMG_20220316_165535_jpg.rf.b4968ac9965090df369ee94c30225977.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [38, 538, 382, 796], \"label\": \"jack of diamonds\"},\n {\"box_2d\": [106, 307, 474, 591], \"label\": \"nine of diamonds\"},\n {\"box_2d\": [381, 176, 709, 479], \"label\": \"king of diamonds\"},\n {\"box_2d\": [419, 472, 820, 727], \"label\": \"queen of diamonds\"},\n {\"box_2d\": [631, 108, 974, 427], \"label\": \"ten of diamonds\"}\n]\n```", "correct": true, "input_tokens": 1218, "output_tokens": 603, "elapsed_seconds": 7.613915583002381, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 7.6457}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 88, "image": "F64FE944-4E23-4E33-ABE4-44B45EEE879E_jpg.rf.4a9fc6077618a5882fd446c7da6c295e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [176, 162, 281, 240], \"label\": \"pill\"},\n {\"box_2d\": [185, 236, 290, 315], \"label\": \"pill\"},\n {\"box_2d\": [138, 296, 247, 353], \"label\": \"pill\"},\n {\"box_2d\": [286, 152, 393, 209], \"label\": \"pill\"},\n {\"box_2d\": [276, 207, 383, 270], \"label\": \"pill\"},\n {\"box_2d\": [243, 326, 323, 428], \"label\": \"pill\"},\n {\"box_2d\": [288, 289, 381, 384], \"label\": \"pill\"},\n {\"box_2d\": [182, 389, 286, 474], \"label\": \"pill\"},\n {\"box_2d\": [168, 523, 277, 597], \"label\": \"pill\"},\n {\"box_2d\": [258, 487, 369, 548], \"label\": \"pill\"},\n {\"box_2d\": [285, 417, 390, 491], \"label\": \"pill\"},\n {\"box_2d\": [378, 187, 483, 251], \"label\": \"pill\"},\n {\"box_2d\": [349, 241, 446, 324], \"label\": \"pill\"},\n {\"box_2d\": [387, 275, 480, 363], \"label\": \"pill\"},\n {\"box_2d\": [359, 369, 459, 451], \"label\": \"pill\"},\n {\"box_2d\": [432, 127, 521, 222], \"label\": \"pill\"},\n {\"box_2d\": [513, 128, 590, 229], \"label\": \"pill\"},\n {\"box_2d\": [477, 256, 581, 315], \"label\": \"pill\"},\n {\"box_2d\": [476, 311, 581, 370], \"label\": \"pill\"},\n {\"box_2d\": [455, 375, 550, 461], \"label\": \"pill\"},\n {\"box_2d\": [355, 559, 463, 620], \"label\": \"pill\"},\n {\"box_2d\": [362, 621, 470, 681], \"label\": \"pill\"},\n {\"box_2d\": [300, 692, 387, 795], \"label\": \"pill\"},\n {\"box_2d\": [370, 840, 478, 900], \"label\": \"pill\"},\n {\"box_2d\": [430, 667, 517, 767], \"label\": \"pill\"},\n {\"box_2d\": [445, 504, 515, 608], \"label\": \"pill\"},\n {\"box_2d\": [486, 467, 554, 571], \"label\": \"pill\"},\n {\"box_2d\": [506, 634, 613, 697], \"label\": \"pill\"},\n {\"box_2d\": [555, 696, 612, 806], \"label\": \"pill\"},\n {\"box_2d\": [531, 521, 616, 618], \"label\": \"pill\"},\n {\"box_2d\": [549, 391, 611, 495], \"label\": \"pill\"},\n {\"box_2d\": [588, 179, 672, 276], \"label\": \"pill\"},\n {\"box_2d\": [590, 289, 643, 396], \"label\": \"pill\"},\n {\"box_2d\": [638, 270, 675, 379], \"label\": \"pill\"},\n {\"box_2d\": [682, 162, 779, 244], \"label\": \"pill\"},\n {\"box_2d\": [734, 94, 797, 198], \"label\": \"pill\"},\n {\"box_2d\": [680, 216, 745, 321], \"label\": \"pill\"},\n {\"box_2d\": [723, 298, 787, 404], \"label\": \"pill\"},\n {\"box_2d\": [662, 357, 748, 454], \"label\": \"pill\"},\n {\"box_2d\": [597, 458, 675, 559], \"label\": \"pill\"},\n {\"box_2d\": [629, 423, 717, 518], \"label\": \"pill\"},\n {\"box_2d\": [624, 535, 720, 621], \"label\": \"pill\"},\n {\"box_2d\": [576, 591, 669, 682], \"label\": \"pill\"},\n {\"box_2d\": [782, 412, 837, 518], \"label\": \"pill\"},\n {\"box_2d\": [722, 466, 807, 563], \"label\": \"pill\"},\n {\"box_2d\": [717, 543, 808, 636], \"label\": \"pill\"},\n {\"box_2d\": [695, 631, 792, 721], \"label\": \"pill\"},\n {\"box_2d\": [692, 693, 782, 789], \"label\": \"pill\"},\n {\"box_2d\": [680, 755, 734, 865], \"label\": \"pill\"},\n {\"box_2d\": [797, 737, 892, 830], \"label\": \"pill\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 4470, "elapsed_seconds": 39.204498125007376, "metadata": {"match_method": "map", "num_predictions": 50, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 39.5964}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 89, "image": "20210326_152417_jpg.rf.49d888684dcb029777f91a35c5731fda.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [200, 127, 396, 323], \"label\": \"10 euro cent coin\"},\n {\"box_2d\": [103, 369, 326, 591], \"label\": \"20 euro cent coin\"},\n {\"box_2d\": [203, 645, 446, 891], \"label\": \"50 euro cent coin\"},\n {\"box_2d\": [420, 77, 626, 291], \"label\": \"5 euro cent coin\"},\n {\"box_2d\": [378, 395, 610, 628], \"label\": \"1 euro coin\"},\n {\"box_2d\": [514, 678, 673, 839], \"label\": \"1 euro cent coin\"},\n {\"box_2d\": [653, 236, 902, 489], \"label\": \"2 euro coin\"},\n {\"box_2d\": [722, 577, 905, 761], \"label\": \"2 euro cent coin\"}\n]\n```", "correct": true, "input_tokens": 1272, "output_tokens": 916, "elapsed_seconds": 9.008672166033648, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 9.0269}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 90, "image": "egg-detection_image33_jpg.rf.842de73d6f921d804acd1ea8a1f28413.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [467, 427, 553, 492], \"label\": \"egg\"},\n {\"box_2d\": [746, 693, 825, 753], \"label\": \"egg\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 277, "elapsed_seconds": 5.725694042048417, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 5.8287}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 91, "image": "uav20221018_ixfZ_3857_215_png.rf.8020e1329eefd7e68bf3f7c0394e8bdf.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [11, 686, 61, 728], \"label\": \"banana tree\"},\n {\"box_2d\": [88, 691, 134, 731], \"label\": \"banana tree\"},\n {\"box_2d\": [164, 695, 212, 742], \"label\": \"banana tree\"},\n {\"box_2d\": [234, 691, 281, 735], \"label\": \"banana tree\"},\n {\"box_2d\": [301, 695, 347, 745], \"label\": \"banana tree\"},\n {\"box_2d\": [372, 703, 415, 741], \"label\": \"banana tree\"},\n {\"box_2d\": [525, 717, 565, 750], \"label\": \"banana tree\"},\n {\"box_2d\": [662, 721, 701, 752], \"label\": \"banana tree\"},\n {\"box_2d\": [732, 722, 768, 755], \"label\": \"banana tree\"},\n {\"box_2d\": [795, 721, 840, 767], \"label\": \"banana tree\"},\n {\"box_2d\": [872, 726, 920, 767], \"label\": \"banana tree\"},\n {\"box_2d\": [935, 731, 976, 768], \"label\": \"banana tree\"},\n {\"box_2d\": [55, 743, 98, 789], \"label\": \"banana tree\"},\n {\"box_2d\": [120, 747, 173, 788], \"label\": \"banana tree\"},\n {\"box_2d\": [195, 748, 240, 790], \"label\": \"banana tree\"},\n {\"box_2d\": [264, 754, 312, 791], \"label\": \"banana tree\"},\n {\"box_2d\": [341, 763, 381, 797], \"label\": \"banana tree\"},\n {\"box_2d\": [403, 761, 449, 804], \"label\": \"banana tree\"},\n {\"box_2d\": [485, 770, 526, 802], \"label\": \"banana tree\"},\n {\"box_2d\": [551, 772, 594, 809], \"label\": \"banana tree\"},\n {\"box_2d\": [621, 769, 661, 807], \"label\": \"banana tree\"},\n {\"box_2d\": [689, 777, 737, 813], \"label\": \"banana tree\"},\n {\"box_2d\": [766, 780, 803, 812], \"label\": \"banana tree\"},\n {\"box_2d\": [839, 777, 871, 809], \"label\": \"banana tree\"},\n {\"box_2d\": [907, 786, 945, 821], \"label\": \"banana tree\"},\n {\"box_2d\": [47, 941, 102, 994], \"label\": \"banana tree\"},\n {\"box_2d\": [116, 947, 170, 997], \"label\": \"banana tree\"},\n {\"box_2d\": [185, 948, 232, 991], \"label\": \"banana tree\"},\n {\"box_2d\": [251, 946, 297, 994], \"label\": \"banana tree\"},\n {\"box_2d\": [320, 949, 370, 998], \"label\": \"banana tree\"},\n {\"box_2d\": [452, 956, 504, 999], \"label\": \"banana tree\"},\n {\"box_2d\": [594, 954, 645, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [667, 966, 709, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [733, 967, 776, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [802, 972, 841, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [873, 974, 916, 1000], \"label\": \"banana tree\"}\n]\n```", "correct": false, "input_tokens": 1226, "output_tokens": 5941, "elapsed_seconds": 47.62662837503012, "metadata": {"match_method": "map", "num_predictions": 36, "num_ground_truth": 41, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.71677166223526, "attempts": 1, "retries": 0, "total_seconds": 47.6944}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 92, "image": "DJI_0151_JPG_jpg.rf.3936c799be65e9829061aeb413261c06.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [481, 342, 680, 406], \"label\": \"excavator\"},\n {\"box_2d\": [160, 336, 211, 391], \"label\": \"dump truck\"},\n {\"box_2d\": [158, 433, 212, 487], \"label\": \"concrete mixer\"},\n {\"box_2d\": [126, 61, 172, 128], \"label\": \"concrete mixer\"},\n {\"box_2d\": [0, 631, 495, 709], \"label\": \"tower crane\"}\n]\n```", "correct": true, "input_tokens": 1245, "output_tokens": 966, "elapsed_seconds": 16.404953583027236, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 16.7576}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 93, "image": "55_jpeg_jpg.rf.004155dfb8cf69dfe8eec1fad7b643e0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [64, 320, 185, 434], \"label\": \"potato\"},\n {\"box_2d\": [62, 911, 179, 999], \"label\": \"potato\"},\n {\"box_2d\": [245, 804, 386, 910], \"label\": \"potato\"},\n {\"box_2d\": [476, 519, 619, 636], \"label\": \"potato\"},\n {\"box_2d\": [476, 646, 581, 749], \"label\": \"potato\"},\n {\"box_2d\": [478, 808, 575, 910], \"label\": \"potato\"},\n {\"box_2d\": [454, 960, 551, 999], \"label\": \"potato\"},\n {\"box_2d\": [711, 0, 798, 99], \"label\": \"potato\"},\n {\"box_2d\": [691, 350, 847, 434], \"label\": \"potato\"},\n {\"box_2d\": [703, 584, 800, 680], \"label\": \"potato\"},\n {\"box_2d\": [678, 841, 781, 920], \"label\": \"potato\"},\n {\"box_2d\": [901, 367, 990, 458], \"label\": \"potato\"},\n {\"box_2d\": [882, 616, 984, 718], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1240, "output_tokens": 1585, "elapsed_seconds": 16.282976416987367, "metadata": {"match_method": "map", "num_predictions": 13, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8118811845779419, "attempts": 1, "retries": 0, "total_seconds": 16.3174}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 94, "image": "2024-12-05T02-01-39-892Z-3009_jpg.rf.22fd37099b783ab1f80e4172f8bb073a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [555, 310, 675, 413], \"label\": \"retaining clip\"},\n {\"box_2d\": [461, 494, 595, 583], \"label\": \"retaining clip\"},\n {\"box_2d\": [375, 680, 486, 766], \"label\": \"retaining clip\"},\n {\"box_2d\": [647, 635, 780, 738], \"label\": \"retaining clip\"}\n]\n```", "correct": true, "input_tokens": 1201, "output_tokens": 714, "elapsed_seconds": 14.565018916968256, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 14.7599}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 95, "image": "IMG_20251126_160341_jpg.rf.90a2111f9611ba9b2da6fb1312d0ef72.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [692, 108, 795, 179], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [692, 206, 789, 276], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [684, 297, 782, 368], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [682, 386, 777, 456], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [649, 491, 938, 563], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [663, 588, 761, 661], \"label\": \"white standard price tag\"},\n {\"box_2d\": [663, 700, 759, 772], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [656, 830, 749, 904], \"label\": \"white standard price tag\"},\n {\"box_2d\": [652, 922, 748, 995], \"label\": \"yellow standard price tag\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 1578, "elapsed_seconds": 18.173123041982763, "metadata": {"match_method": "map", "num_predictions": 9, "num_ground_truth": 10, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8349834680557251, "attempts": 1, "retries": 0, "total_seconds": 18.4264}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 96, "image": "tile_267_jpg.rf.d3e282883cf21b5fa393f473090fd4b9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [44, 319, 281, 502], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [295, 513, 540, 703], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [606, 445, 816, 689], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [822, 156, 1000, 404], \"label\": \"ship in SAR satellite image\"}\n]\n```", "correct": true, "input_tokens": 1229, "output_tokens": 1752, "elapsed_seconds": 22.569209541077726, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 22.5913}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 97, "image": "IMG_20250815_165441_jpg.rf.4c737e973da64b017b0e386f2b455f62.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [194, 629, 234, 672], \"label\": \"barcode\"},\n {\"box_2d\": [210, 180, 310, 232], \"label\": \"barcode\"},\n {\"box_2d\": [216, 443, 313, 491], \"label\": \"barcode\"},\n {\"box_2d\": [680, 65, 720, 117], \"label\": \"barcode\"},\n {\"box_2d\": [826, 256, 866, 303], \"label\": \"barcode\"},\n {\"box_2d\": [740, 551, 826, 595], \"label\": \"barcode\"},\n {\"box_2d\": [769, 706, 852, 746], \"label\": \"barcode\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 868, "elapsed_seconds": 11.582068166928366, "metadata": {"match_method": "map", "num_predictions": 7, "num_ground_truth": 7, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 11.8601}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 98, "image": "Lego_63_low_jpeg.rf.6dd24c9abacc96bac5fb5a7d9ce3f907.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [46, 198, 134, 294], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [201, 14, 307, 106], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [182, 104, 269, 189], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [99, 427, 206, 530], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [213, 353, 281, 453], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [279, 316, 339, 405], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [395, 317, 466, 429], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [498, 372, 594, 431], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [581, 253, 663, 330], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [585, 323, 668, 411], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [622, 43, 724, 141], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [764, 86, 854, 179], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [828, 267, 905, 365], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [672, 414, 765, 510], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [776, 422, 860, 532], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [293, 579, 396, 651], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [470, 537, 571, 610], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [606, 581, 706, 662], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [711, 588, 750, 682], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [670, 673, 749, 733], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [713, 731, 795, 808], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [679, 778, 728, 873], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [745, 790, 845, 886], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [605, 907, 697, 998], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [671, 964, 750, 1000], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [447, 725, 519, 777], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [413, 789, 491, 855], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [458, 835, 533, 916], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [59, 670, 152, 777], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [28, 752, 130, 822], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [166, 672, 264, 712], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [172, 710, 249, 761], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [222, 797, 308, 875], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [203, 864, 300, 938], \"label\": \"lego 4x1 brick\"}\n]\n```", "correct": true, "input_tokens": 1244, "output_tokens": 4233, "elapsed_seconds": 30.44637766701635, "metadata": {"match_method": "map", "num_predictions": 34, "num_ground_truth": 34, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9003900289535522, "attempts": 1, "retries": 0, "total_seconds": 30.5044}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 99, "image": "frame_0085_jpg.rf.df2f77641da4fa475877d40e14103949.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [41, 137, 108, 181], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [140, 112, 206, 155], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [258, 129, 329, 175], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [376, 106, 444, 157], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [464, 106, 535, 156], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [589, 82, 672, 136], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [799, 77, 886, 132], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [23, 246, 76, 289], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [133, 229, 198, 268], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [270, 228, 343, 271], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [417, 234, 488, 280], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [678, 228, 766, 273], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [885, 211, 964, 258], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [48, 340, 111, 377], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [159, 344, 222, 381], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [315, 353, 378, 391], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [436, 356, 501, 394], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [529, 338, 597, 386], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [703, 346, 788, 390], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [847, 339, 932, 388], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [231, 427, 307, 469], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [422, 468, 485, 505], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [645, 482, 725, 522], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [864, 472, 920, 516], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [340, 551, 403, 587], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [778, 575, 850, 617], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [181, 608, 236, 642], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [368, 675, 434, 710], \"label\": \"garlic on conveyor\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 2788, "elapsed_seconds": 24.11440225003753, "metadata": {"match_method": "map", "num_predictions": 28, "num_ground_truth": 28, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 24.2277}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 100, "image": "basketball-player-detection_boston-celtics-new-york-knicks-game-4-q1-00-05-00-01-0115_png.rf.268163bdbdd382dbeaa9df9d19cf50ae.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [700, 166, 959, 236], \"label\": \"player\"},\n {\"box_2d\": [769, 180, 796, 194], \"label\": \"jersey number\"},\n {\"box_2d\": [542, 361, 760, 405], \"label\": \"player\"},\n {\"box_2d\": [725, 295, 880, 329], \"label\": \"referee\"},\n {\"box_2d\": [304, 150, 513, 196], \"label\": \"player\"},\n {\"box_2d\": [356, 165, 374, 177], \"label\": \"jersey number\"},\n {\"box_2d\": [319, 105, 456, 161], \"label\": \"player\"},\n {\"box_2d\": [285, 341, 454, 378], \"label\": \"referee\"},\n {\"box_2d\": [317, 521, 488, 567], \"label\": \"player\"},\n {\"box_2d\": [368, 535, 386, 543], \"label\": \"jersey number\"},\n {\"box_2d\": [341, 543, 533, 610], \"label\": \"player\"},\n {\"box_2d\": [382, 564, 404, 577], \"label\": \"jersey number\"},\n {\"box_2d\": [450, 733, 667, 777], \"label\": \"player\"},\n {\"box_2d\": [504, 745, 524, 758], \"label\": \"jersey number\"},\n {\"box_2d\": [457, 711, 643, 756], \"label\": \"player\"},\n {\"box_2d\": [568, 749, 787, 809], \"label\": \"player\"},\n {\"box_2d\": [609, 811, 844, 874], \"label\": \"player\"},\n {\"box_2d\": [670, 848, 694, 860], \"label\": \"jersey number\"},\n {\"box_2d\": [295, 712, 325, 752], \"label\": \"basket rim\"}\n]\n```", "correct": false, "input_tokens": 1250, "output_tokens": 2378, "elapsed_seconds": 26.028853875002824, "metadata": {"match_method": "map", "num_predictions": 19, "num_ground_truth": 25, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3605610430240631, "attempts": 1, "retries": 0, "total_seconds": 26.1205}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 101, "image": "construction-safety_ppe_0720_jpg.rf.cfd070890ac09790250bebd1b430d69f.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [237, 0, 993, 86], \"label\": \"person\"},\n {\"box_2d\": [237, 11, 297, 58], \"label\": \"safety helmet\"},\n {\"box_2d\": [354, 1, 631, 79], \"label\": \"safety vest\"},\n {\"box_2d\": [288, 75, 985, 179], \"label\": \"person\"},\n {\"box_2d\": [288, 93, 353, 141], \"label\": \"safety helmet\"},\n {\"box_2d\": [403, 83, 661, 166], \"label\": \"safety vest\"},\n {\"box_2d\": [206, 159, 983, 276], \"label\": \"person\"},\n {\"box_2d\": [206, 182, 271, 230], \"label\": \"safety helmet\"},\n {\"box_2d\": [318, 165, 597, 253], \"label\": \"safety vest\"},\n {\"box_2d\": [265, 240, 976, 323], \"label\": \"person\"},\n {\"box_2d\": [265, 259, 338, 305], \"label\": \"safety helmet\"},\n {\"box_2d\": [381, 247, 613, 315], \"label\": \"safety vest\"},\n {\"box_2d\": [191, 292, 991, 405], \"label\": \"person\"},\n {\"box_2d\": [187, 327, 254, 376], \"label\": \"safety helmet\"},\n {\"box_2d\": [319, 307, 585, 402], \"label\": \"safety vest\"},\n {\"box_2d\": [208, 396, 978, 494], \"label\": \"person\"},\n {\"box_2d\": [208, 419, 273, 466], \"label\": \"safety helmet\"},\n {\"box_2d\": [318, 402, 591, 488], \"label\": \"safety vest\"},\n {\"box_2d\": [212, 479, 966, 573], \"label\": \"person\"},\n {\"box_2d\": [208, 492, 273, 540], \"label\": \"safety helmet\"},\n {\"box_2d\": [322, 484, 577, 567], \"label\": \"safety vest\"},\n {\"box_2d\": [243, 562, 982, 667], \"label\": \"person\"},\n {\"box_2d\": [243, 576, 305, 624], \"label\": \"safety helmet\"},\n {\"box_2d\": [356, 569, 598, 650], \"label\": \"safety vest\"},\n {\"box_2d\": [197, 654, 991, 756], \"label\": \"person\"},\n {\"box_2d\": [193, 677, 263, 728], \"label\": \"safety helmet\"},\n {\"box_2d\": [325, 661, 602, 748], \"label\": \"safety vest\"},\n {\"box_2d\": [118, 729, 991, 848], \"label\": \"person\"},\n {\"box_2d\": [118, 745, 200, 804], \"label\": \"safety helmet\"},\n {\"box_2d\": [249, 744, 549, 836], \"label\": \"safety vest\"},\n {\"box_2d\": [151, 805, 950, 861], \"label\": \"person\"},\n {\"box_2d\": [151, 808, 224, 854], \"label\": \"safety helmet\"},\n {\"box_2d\": [182, 822, 987, 905], \"label\": \"person\"},\n {\"box_2d\": [180, 838, 261, 898], \"label\": \"safety helmet\"},\n {\"box_2d\": [313, 826, 637, 902], \"label\": \"safety vest\"},\n {\"box_2d\": [137, 868, 994, 998], \"label\": \"person\"},\n {\"box_2d\": [139, 900, 232, 980], \"label\": \"safety helmet\"},\n {\"box_2d\": [304, 885, 666, 998], \"label\": \"safety vest\"}\n]\n```", "correct": true, "input_tokens": 1198, "output_tokens": 3566, "elapsed_seconds": 28.126787042012438, "metadata": {"match_method": "map", "num_predictions": 38, "num_ground_truth": 38, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9695354104042053, "attempts": 1, "retries": 0, "total_seconds": 28.1583}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 102, "image": "fabric-defect_1213_jpg.rf.f4cb351d5d6f226d23075b9a6a549416.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [469, 726, 591, 778], \"label\": \"fabric cut\"},\n {\"box_2d\": [577, 411, 617, 445], \"label\": \"fabric cut\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 457, "elapsed_seconds": 6.576530082966201, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 6.5862}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 103, "image": "indir-2-_jpeg_jpg.rf.cabde9f9d89b7527f52820f6df64e1b7.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [363, 248, 381, 583], \"label\": \"dimension annotation\"},\n {\"box_2d\": [416, 90, 524, 210], \"label\": \"dimension annotation\"},\n {\"box_2d\": [434, 303, 517, 450], \"label\": \"dimension annotation\"},\n {\"box_2d\": [423, 655, 575, 681], \"label\": \"dimension annotation\"},\n {\"box_2d\": [500, 69, 575, 182], \"label\": \"dimension annotation\"},\n {\"box_2d\": [615, 181, 633, 289], \"label\": \"dimension annotation\"},\n {\"box_2d\": [615, 415, 633, 516], \"label\": \"dimension annotation\"},\n {\"box_2d\": [615, 515, 633, 583], \"label\": \"dimension annotation\"},\n {\"box_2d\": [619, 754, 641, 890], \"label\": \"dimension annotation\"},\n {\"box_2d\": [678, 55, 707, 81], \"label\": \"dimension annotation\"},\n {\"box_2d\": [706, 55, 845, 81], \"label\": \"dimension annotation\"},\n {\"box_2d\": [759, 233, 777, 344], \"label\": \"dimension annotation\"},\n {\"box_2d\": [753, 662, 803, 751], \"label\": \"dimension annotation\"},\n {\"box_2d\": [814, 622, 845, 648], \"label\": \"dimension annotation\"},\n {\"box_2d\": [914, 207, 985, 976], \"label\": \"technical drawing table\"}\n]\n```", "correct": false, "input_tokens": 1233, "output_tokens": 3172, "elapsed_seconds": 33.17491841700394, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5030463933944702, "attempts": 1, "retries": 0, "total_seconds": 33.1844}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 104, "image": "wood-log-detection_019_png_jpg.rf.0c10ed1caffd0ca9926a3f2f5de3a24a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [149, 55, 216, 145], \"label\": \"log cross-section\"},\n {\"box_2d\": [165, 285, 214, 347], \"label\": \"log cross-section\"},\n {\"box_2d\": [168, 403, 208, 455], \"label\": \"log cross-section\"},\n {\"box_2d\": [165, 497, 232, 580], \"label\": \"log cross-section\"},\n {\"box_2d\": [202, 162, 265, 254], \"label\": \"log cross-section\"},\n {\"box_2d\": [221, 99, 271, 162], \"label\": \"log cross-section\"},\n {\"box_2d\": [212, 326, 290, 421], \"label\": \"log cross-section\"},\n {\"box_2d\": [234, 419, 328, 553], \"label\": \"log cross-section\"},\n {\"box_2d\": [227, 544, 298, 635], \"label\": \"log cross-section\"},\n {\"box_2d\": [225, 669, 272, 732], \"label\": \"log cross-section\"},\n {\"box_2d\": [222, 732, 279, 804], \"label\": \"log cross-section\"},\n {\"box_2d\": [212, 805, 296, 895], \"label\": \"log cross-section\"},\n {\"box_2d\": [264, 54, 314, 121], \"label\": \"log cross-section\"},\n {\"box_2d\": [314, 68, 363, 135], \"label\": \"log cross-section\"},\n {\"box_2d\": [332, 132, 370, 180], \"label\": \"log cross-section\"},\n {\"box_2d\": [288, 199, 369, 306], \"label\": \"log cross-section\"},\n {\"box_2d\": [347, 240, 404, 318], \"label\": \"log cross-section\"},\n {\"box_2d\": [321, 321, 400, 432], \"label\": \"log cross-section\"},\n {\"box_2d\": [354, 425, 401, 493], \"label\": \"log cross-section\"},\n {\"box_2d\": [396, 427, 432, 481], \"label\": \"log cross-section\"},\n {\"box_2d\": [302, 535, 373, 622], \"label\": \"log cross-section\"},\n {\"box_2d\": [271, 655, 338, 739], \"label\": \"log cross-section\"},\n {\"box_2d\": [277, 747, 315, 795], \"label\": \"log cross-section\"},\n {\"box_2d\": [301, 775, 359, 848], \"label\": \"log cross-section\"},\n {\"box_2d\": [371, 499, 442, 588], \"label\": \"log cross-section\"},\n {\"box_2d\": [351, 602, 431, 703], \"label\": \"log cross-section\"},\n {\"box_2d\": [323, 701, 388, 788], \"label\": \"log cross-section\"},\n {\"box_2d\": [366, 801, 406, 854], \"label\": \"log cross-section\"},\n {\"box_2d\": [404, 898, 444, 947], \"label\": \"log cross-section\"},\n {\"box_2d\": [392, 92, 449, 170], \"label\": \"log cross-section\"},\n {\"box_2d\": [454, 88, 495, 145], \"label\": \"log cross-section\"},\n {\"box_2d\": [436, 151, 530, 274], \"label\": \"log cross-section\"},\n {\"box_2d\": [424, 271, 472, 335], \"label\": \"log cross-section\"},\n {\"box_2d\": [482, 268, 522, 323], \"label\": \"log cross-section\"},\n {\"box_2d\": [458, 354, 527, 442], \"label\": \"log cross-section\"},\n {\"box_2d\": [428, 413, 468, 467], \"label\": \"log cross-section\"},\n {\"box_2d\": [454, 450, 516, 537], \"label\": \"log cross-section\"},\n {\"box_2d\": [463, 548, 521, 622], \"label\": \"log cross-section\"},\n {\"box_2d\": [435, 622, 487, 690], \"label\": \"log cross-section\"},\n {\"box_2d\": [478, 673, 517, 724], \"label\": \"log cross-section\"},\n {\"box_2d\": [455, 720, 512, 793], \"label\": \"log cross-section\"},\n {\"box_2d\": [439, 788, 473, 832], \"label\": \"log cross-section\"},\n {\"box_2d\": [468, 833, 502, 874], \"label\": \"log cross-section\"},\n {\"box_2d\": [503, 855, 537, 896], \"label\": \"log cross-section\"},\n {\"box_2d\": [495, 71, 559, 153], \"label\": \"log cross-section\"},\n {\"box_2d\": [530, 161, 562, 205], \"label\": \"log cross-section\"},\n {\"box_2d\": [514, 212, 584, 306], \"label\": \"log cross-section\"},\n {\"box_2d\": [505, 307, 567, 385], \"label\": \"log cross-section\"},\n {\"box_2d\": [509, 485, 580, 577], \"label\": \"log cross-section\"},\n {\"box_2d\": [513, 638, 555, 686], \"label\": \"log cross-section\"},\n {\"box_2d\": [510, 715, 557, 774], \"label\": \"log cross-section\"},\n {\"box_2d\": [511, 773, 555, 821], \"label\": \"log cross-section\"},\n {\"box_2d\": [523, 826, 553, 863], \"label\": \"log cross-section\"},\n {\"box_2d\": [560, 78, 615, 153], \"label\": \"log cross-section\"},\n {\"box_2d\": [560, 168, 603, 223], \"label\": \"log cross-section\"},\n {\"box_2d\": [567, 570, 607, 615], \"label\": \"log cross-section\"},\n {\"box_2d\": [546, 609, 598, 677], \"label\": \"log cross-section\"},\n {\"box_2d\": [556, 691, 615, 772], \"label\": \"log cross-section\"},\n {\"box_2d\": [558, 782, 604, 844], \"label\": \"log cross-section\"},\n {\"box_2d\": [582, 842, 617, 885], \"label\": \"log cross-section\"},\n {\"box_2d\": [600, 170, 638, 223], \"label\": \"log cross-section\"},\n {\"box_2d\": [592, 224, 647, 291], \"label\": \"log cross-section\"},\n {\"box_2d\": [576, 390, 625, 476], \"label\": \"log cross-section\"},\n {\"box_2d\": [576, 486, 625, 573], \"label\": \"log cross-section\"},\n {\"box_2d\": [625, 66, 720, 197], \"label\": \"log cross-section\"},\n {\"box_2d\": [638, 202, 722, 322], \"label\": \"log cross-section\"},\n {\"box_2d\": [691, 298, 724, 339], \"label\": \"log cross-section\"},\n {\"box_2d\": [618, 323, 725, 453], \"label\": \"log cross-section\"},\n {\"box_2d\": [631, 466, 670, 513], \"label\": \"log cross-section\"},\n {\"box_2d\": [623, 514, 673, 584], \"label\": \"log cross-section\"},\n {\"box_2d\": [610, 576, 639, 622], \"label\": \"log cross-section\"},\n {\"box_2d\": [633, 583, 676, 642], \"label\": \"log cross-section\"},\n {\"box_2d\": [613, 672, 660, 730], \"label\": \"log cross-section\"},\n {\"box_2d\": [614, 731, 666, 797], \"label\": \"log cross-section\"},\n {\"box_2d\": [625, 830, 673, 888], \"label\": \"log cross-section\"},\n {\"box_2d\": [673, 466, 740, 554], \"label\": \"log cross-section\"},\n {\"box_2d\": [706, 592, 747, 640], \"label\": \"log cross-section\"},\n {\"box_2d\": [702, 639, 746, 688], \"label\": \"log cross-section\"},\n {\"box_2d\": [688, 720, 720, 759], \"label\": \"log cross-section\"},\n {\"box_2d\": [713, 790, 749, 833], \"label\": \"log cross-section\"},\n {\"box_2d\": [688, 834, 721, 882], \"label\": \"log cross-section\"}\n]\n```", "correct": true, "input_tokens": 1228, "output_tokens": 5401, "elapsed_seconds": 42.312407582998276, "metadata": {"match_method": "map", "num_predictions": 81, "num_ground_truth": 91, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8910890817642212, "attempts": 2, "retries": 1, "total_seconds": 104.5011, "transient_errors": ["RemoteProtocolError"]}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 105, "image": "170571v_JPG_jpg.rf.044f16a58ffbf60b2d7a3d41cd3a4fdf.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [442, 461, 1000, 690], \"label\": \"cracked insulator\"}\n]\n```", "correct": false, "input_tokens": 1244, "output_tokens": 2101, "elapsed_seconds": 35.043108500074595, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 35.3975}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 106, "image": "IMG_20260128_081412_jpg.rf.4a044ae2d306c8ba7e741477be920225.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [31, 0, 128, 46], \"label\": \"white standard price tag\"},\n {\"box_2d\": [33, 69, 132, 134], \"label\": \"white standard price tag\"},\n {\"box_2d\": [35, 146, 133, 212], \"label\": \"white standard price tag\"},\n {\"box_2d\": [42, 240, 136, 304], \"label\": \"white standard price tag\"},\n {\"box_2d\": [46, 336, 139, 401], \"label\": \"white standard price tag\"},\n {\"box_2d\": [46, 419, 139, 484], \"label\": \"white standard price tag\"},\n {\"box_2d\": [65, 529, 153, 591], \"label\": \"white standard price tag\"},\n {\"box_2d\": [65, 670, 153, 732], \"label\": \"white standard price tag\"},\n {\"box_2d\": [76, 769, 165, 832], \"label\": \"white standard price tag\"},\n {\"box_2d\": [83, 849, 168, 910], \"label\": \"white standard price tag\"},\n {\"box_2d\": [77, 926, 165, 989], \"label\": \"white standard price tag\"},\n {\"box_2d\": [654, 48, 742, 111], \"label\": \"white standard price tag\"},\n {\"box_2d\": [678, 220, 767, 279], \"label\": \"white standard price tag\"},\n {\"box_2d\": [686, 328, 771, 386], \"label\": \"white standard price tag\"},\n {\"box_2d\": [668, 419, 924, 486], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [672, 562, 929, 626], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [692, 646, 780, 704], \"label\": \"white standard price tag\"},\n {\"box_2d\": [695, 725, 780, 784], \"label\": \"white standard price tag\"},\n {\"box_2d\": [700, 821, 787, 880], \"label\": \"white standard price tag\"},\n {\"box_2d\": [705, 895, 791, 954], \"label\": \"white standard price tag\"},\n {\"box_2d\": [693, 944, 944, 1000], \"label\": \"yellow large price tag\"}\n]\n```", "correct": true, "input_tokens": 1222, "output_tokens": 2337, "elapsed_seconds": 26.61713145801332, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 21, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 26.9378}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 107, "image": "IMG_20220316_163220_jpg.rf.07e174636631b0be143879d240f8f468.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [289, 80, 756, 378], \"label\": \"three of diamonds\"},\n {\"box_2d\": [406, 80, 922, 405], \"label\": \"ace of diamonds\"},\n {\"box_2d\": [401, 396, 869, 731], \"label\": \"two of diamonds\"},\n {\"box_2d\": [156, 452, 637, 811], \"label\": \"four of diamonds\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 553, "elapsed_seconds": 9.360806667013094, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 9.3898}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 108, "image": "2e57b9_3_10_png_jpg.rf.93746b4a960366b1a012ad339a5d68e1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [472, 137, 513, 148], \"label\": \"goalkeeper\"},\n {\"box_2d\": [504, 143, 513, 149], \"label\": \"football\"},\n {\"box_2d\": [576, 57, 626, 70], \"label\": \"player\"},\n {\"box_2d\": [748, 159, 811, 181], \"label\": \"player\"},\n {\"box_2d\": [579, 235, 628, 248], \"label\": \"player\"},\n {\"box_2d\": [478, 211, 519, 224], \"label\": \"player\"},\n {\"box_2d\": [456, 216, 493, 229], \"label\": \"player\"},\n {\"box_2d\": [499, 283, 543, 296], \"label\": \"player\"},\n {\"box_2d\": [421, 263, 460, 272], \"label\": \"player\"},\n {\"box_2d\": [587, 349, 640, 360], \"label\": \"player\"},\n {\"box_2d\": [413, 389, 450, 398], \"label\": \"player\"},\n {\"box_2d\": [378, 390, 412, 397], \"label\": \"player\"},\n {\"box_2d\": [445, 456, 486, 465], \"label\": \"player\"},\n {\"box_2d\": [493, 479, 535, 490], \"label\": \"referee\"},\n {\"box_2d\": [470, 500, 512, 509], \"label\": \"player\"},\n {\"box_2d\": [542, 463, 591, 476], \"label\": \"player\"},\n {\"box_2d\": [542, 494, 591, 505], \"label\": \"player\"},\n {\"box_2d\": [583, 437, 635, 447], \"label\": \"player\"},\n {\"box_2d\": [690, 486, 749, 498], \"label\": \"player\"},\n {\"box_2d\": [403, 629, 441, 638], \"label\": \"player\"},\n {\"box_2d\": [404, 658, 442, 666], \"label\": \"player\"},\n {\"box_2d\": [450, 675, 492, 685], \"label\": \"player\"},\n {\"box_2d\": [532, 693, 581, 705], \"label\": \"player\"},\n {\"box_2d\": [908, 745, 987, 772], \"label\": \"referee\"}\n]\n```", "correct": false, "input_tokens": 1242, "output_tokens": 2767, "elapsed_seconds": 24.670438666944392, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6534653306007385, "attempts": 1, "retries": 0, "total_seconds": 24.7585}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 109, "image": "img283_png.rf.c0609f1f38390a89165e7c735d693ab6.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [28, 540, 97, 624], \"label\": \"and gate symbol\"},\n {\"box_2d\": [75, 365, 144, 450], \"label\": \"and gate symbol\"},\n {\"box_2d\": [122, 540, 191, 624], \"label\": \"and gate symbol\"},\n {\"box_2d\": [169, 756, 239, 840], \"label\": \"or gate symbol\"},\n {\"box_2d\": [217, 540, 286, 624], \"label\": \"and gate symbol\"},\n {\"box_2d\": [249, 365, 318, 450], \"label\": \"and gate symbol\"},\n {\"box_2d\": [328, 540, 397, 624], \"label\": \"and gate symbol\"},\n {\"box_2d\": [344, 37, 390, 79], \"label\": \"not gate symbol\"},\n {\"box_2d\": [344, 91, 390, 134], \"label\": \"not gate symbol\"},\n {\"box_2d\": [391, 392, 460, 477], \"label\": \"and gate symbol\"},\n {\"box_2d\": [439, 540, 508, 624], \"label\": \"or gate symbol\"},\n {\"box_2d\": [486, 392, 555, 477], \"label\": \"and gate symbol\"},\n {\"box_2d\": [533, 701, 603, 786], \"label\": \"and gate symbol\"},\n {\"box_2d\": [549, 145, 595, 187], \"label\": \"not gate symbol\"},\n {\"box_2d\": [549, 199, 595, 241], \"label\": \"not gate symbol\"},\n {\"box_2d\": [581, 392, 650, 477], \"label\": \"and gate symbol\"},\n {\"box_2d\": [628, 540, 698, 624], \"label\": \"or gate symbol\"},\n {\"box_2d\": [660, 864, 730, 947], \"label\": \"or gate symbol\"},\n {\"box_2d\": [676, 392, 745, 477], \"label\": \"and gate symbol\"},\n {\"box_2d\": [786, 365, 855, 450], \"label\": \"and gate symbol\"},\n {\"box_2d\": [834, 554, 904, 637], \"label\": \"or gate symbol\"},\n {\"box_2d\": [913, 352, 982, 437], \"label\": \"and gate symbol\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 2264, "elapsed_seconds": 17.27420975000132, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 17.2845}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 110, "image": "000002_png.rf.4f51fa98e7c1b825375b26d30324d587.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [155, 204, 169, 226], \"label\": \"tire spike absent\"},\n {\"box_2d\": [195, 246, 212, 270], \"label\": \"tire spike absent\"},\n {\"box_2d\": [251, 298, 270, 323], \"label\": \"tire spike absent\"},\n {\"box_2d\": [346, 324, 365, 351], \"label\": \"tire spike normal\"},\n {\"box_2d\": [411, 380, 430, 408], \"label\": \"tire spike normal\"},\n {\"box_2d\": [507, 377, 529, 405], \"label\": \"tire spike normal\"},\n {\"box_2d\": [572, 433, 591, 461], \"label\": \"tire spike normal\"},\n {\"box_2d\": [759, 498, 777, 523], \"label\": \"tire spike normal\"},\n {\"box_2d\": [825, 567, 843, 592], \"label\": \"tire spike absent\"},\n {\"box_2d\": [938, 612, 952, 634], \"label\": \"tire spike normal\"},\n {\"box_2d\": [175, 574, 190, 596], \"label\": \"tire spike normal\"},\n {\"box_2d\": [243, 642, 260, 666], \"label\": \"tire spike normal\"},\n {\"box_2d\": [333, 678, 350, 701], \"label\": \"tire spike normal\"},\n {\"box_2d\": [390, 746, 407, 768], \"label\": \"tire spike normal\"},\n {\"box_2d\": [465, 764, 483, 788], \"label\": \"tire spike normal\"},\n {\"box_2d\": [543, 780, 562, 804], \"label\": \"tire spike normal\"},\n {\"box_2d\": [614, 839, 633, 862], \"label\": \"tire spike normal\"},\n {\"box_2d\": [714, 834, 732, 856], \"label\": \"tire spike normal\"},\n {\"box_2d\": [766, 875, 782, 895], \"label\": \"tire spike normal\"}\n]\n```", "correct": false, "input_tokens": 1244, "output_tokens": 2155, "elapsed_seconds": 17.206921709002927, "metadata": {"match_method": "map", "num_predictions": 19, "num_ground_truth": 25, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6386138796806335, "attempts": 1, "retries": 0, "total_seconds": 17.2374}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 111, "image": "20210325_203906_jpg.rf.933d9e03e479d146bb70034cc952f103.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [153, 223, 300, 370], \"label\": \"1 euro cent coin\"},\n {\"box_2d\": [125, 517, 300, 692], \"label\": \"2 euro cent coin\"},\n {\"box_2d\": [266, 364, 455, 555], \"label\": \"5 euro cent coin\"},\n {\"box_2d\": [319, 72, 536, 291], \"label\": \"50 euro cent coin\"},\n {\"box_2d\": [331, 650, 567, 892], \"label\": \"2 euro coin\"},\n {\"box_2d\": [477, 458, 672, 658], \"label\": \"20 euro cent coin\"},\n {\"box_2d\": [539, 217, 741, 420], \"label\": \"1 euro coin\"},\n {\"box_2d\": [759, 434, 927, 606], \"label\": \"10 euro cent coin\"}\n]\n```", "correct": true, "input_tokens": 1272, "output_tokens": 1101, "elapsed_seconds": 9.56113429099787, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 9.5796}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 112, "image": "IMG_6680_jpeg_jpg.rf.a7e13dbe56d360a8422903a30c5bef2b.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [449, 29, 527, 200], \"label\": \"green poker chip\"},\n {\"box_2d\": [491, 28, 546, 201], \"label\": \"green poker chip\"},\n {\"box_2d\": [504, 34, 563, 206], \"label\": \"green poker chip\"},\n {\"box_2d\": [447, 226, 522, 384], \"label\": \"orange poker chip\"},\n {\"box_2d\": [485, 232, 540, 388], \"label\": \"orange poker chip\"},\n {\"box_2d\": [499, 214, 562, 370], \"label\": \"orange poker chip\"},\n {\"box_2d\": [445, 431, 517, 584], \"label\": \"red poker chip\"},\n {\"box_2d\": [476, 420, 536, 576], \"label\": \"red poker chip\"},\n {\"box_2d\": [499, 434, 559, 590], \"label\": \"red poker chip\"},\n {\"box_2d\": [448, 622, 521, 783], \"label\": \"blue poker chip\"},\n {\"box_2d\": [484, 623, 539, 783], \"label\": \"blue poker chip\"},\n {\"box_2d\": [503, 624, 563, 789], \"label\": \"blue poker chip\"},\n {\"box_2d\": [438, 803, 509, 974], \"label\": \"white poker chip\"},\n {\"box_2d\": [477, 813, 533, 989], \"label\": \"white poker chip\"},\n {\"box_2d\": [491, 812, 550, 988], \"label\": \"white poker chip\"}\n]\n```", "correct": true, "input_tokens": 1243, "output_tokens": 1578, "elapsed_seconds": 14.490800708066672, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 14.5114}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 113, "image": "paper-parts_1947_92_jpg.rf.c89564b4b37a6d7828cc26ccdadbe488.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [99, 860, 113, 881], \"label\": \"page number\"},\n {\"box_2d\": [141, 234, 472, 767], \"label\": \"figure\"},\n {\"box_2d\": [485, 117, 518, 882], \"label\": \"figure caption\"},\n {\"box_2d\": [522, 494, 536, 499], \"label\": \"paragraph\"},\n {\"box_2d\": [550, 267, 565, 732], \"label\": \"table caption\"},\n {\"box_2d\": [579, 224, 691, 775], \"label\": \"table\"},\n {\"box_2d\": [720, 118, 753, 881], \"label\": \"paragraph\"},\n {\"box_2d\": [776, 118, 790, 336], \"label\": \"subsection\"},\n {\"box_2d\": [804, 117, 837, 881], \"label\": \"paragraph\"},\n {\"box_2d\": [853, 427, 873, 572], \"label\": \"equation\"},\n {\"box_2d\": [888, 118, 907, 536], \"label\": \"paragraph\"}\n]\n```", "correct": true, "input_tokens": 1255, "output_tokens": 1309, "elapsed_seconds": 12.553014207980596, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 10, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8437498807907104, "attempts": 1, "retries": 0, "total_seconds": 12.592}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 114, "image": "160623_JPG_jpg.rf.4a3c396118b0f749044f2bf5dc9876a6.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 407, 965, 518], \"label\": \"insulator flashover\"}\n]\n```", "correct": false, "input_tokens": 1218, "output_tokens": 922, "elapsed_seconds": 19.891483750077896, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 3, "retries": 2, "total_seconds": 156.974, "transient_errors": ["RemoteProtocolError", "RemoteProtocolError"]}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 115, "image": "97_jpg.rf.6e96875525666efd5c6ee92a42ea704b.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [159, 444, 232, 490], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [391, 259, 429, 316], \"label\": \"resistor symbol\"},\n {\"box_2d\": [365, 417, 452, 468], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [398, 640, 435, 709], \"label\": \"resistor symbol\"},\n {\"box_2d\": [362, 770, 444, 811], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [501, 115, 620, 159], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [548, 519, 646, 562], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [558, 865, 697, 887], \"label\": \"resistor symbol\"},\n {\"box_2d\": [811, 281, 858, 350], \"label\": \"resistor symbol\"}\n]\n```", "correct": true, "input_tokens": 1251, "output_tokens": 1128, "elapsed_seconds": 9.772074125008658, "metadata": {"match_method": "map", "num_predictions": 9, "num_ground_truth": 9, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 9.7798}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 116, "image": "IMG_20260128_081234_jpg.rf.66b0abebc9fc2c6dc309b213a32ddf78.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [5, 84, 362, 188], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [15, 298, 355, 397], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [27, 405, 360, 492], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [62, 589, 169, 667], \"label\": \"white standard price tag\"},\n {\"box_2d\": [71, 899, 177, 976], \"label\": \"white standard price tag\"},\n {\"box_2d\": [739, 39, 839, 108], \"label\": \"white standard price tag\"},\n {\"box_2d\": [751, 258, 844, 332], \"label\": \"white standard price tag\"},\n {\"box_2d\": [748, 357, 842, 428], \"label\": \"white standard price tag\"},\n {\"box_2d\": [740, 444, 836, 513], \"label\": \"white standard price tag\"},\n {\"box_2d\": [746, 558, 841, 628], \"label\": \"white standard price tag\"},\n {\"box_2d\": [748, 699, 843, 769], \"label\": \"white standard price tag\"},\n {\"box_2d\": [750, 806, 845, 875], \"label\": \"white standard price tag\"},\n {\"box_2d\": [749, 880, 844, 947], \"label\": \"white standard price tag\"},\n {\"box_2d\": [751, 947, 845, 1000], \"label\": \"white standard price tag\"}\n]\n```", "correct": true, "input_tokens": 1222, "output_tokens": 2232, "elapsed_seconds": 25.485783540992998, "metadata": {"match_method": "map", "num_predictions": 14, "num_ground_truth": 14, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 25.758}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 117, "image": "1668147222__jpg.rf.44d299ff8b2787b4176e92260de001ce.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [597, 40, 645, 68], \"label\": \"five die\"},\n {\"box_2d\": [506, 108, 560, 141], \"label\": \"six die\"},\n {\"box_2d\": [568, 145, 626, 179], \"label\": \"three die\"},\n {\"box_2d\": [841, 119, 900, 154], \"label\": \"five die\"},\n {\"box_2d\": [356, 125, 404, 152], \"label\": \"six die\"},\n {\"box_2d\": [280, 206, 329, 235], \"label\": \"five die\"},\n {\"box_2d\": [422, 220, 470, 248], \"label\": \"five die\"},\n {\"box_2d\": [374, 292, 429, 323], \"label\": \"one die\"},\n {\"box_2d\": [426, 304, 474, 331], \"label\": \"two die\"},\n {\"box_2d\": [584, 284, 636, 313], \"label\": \"six die\"},\n {\"box_2d\": [130, 318, 186, 349], \"label\": \"four die\"},\n {\"box_2d\": [175, 381, 231, 412], \"label\": \"two die\"},\n {\"box_2d\": [135, 398, 190, 429], \"label\": \"one die\"},\n {\"box_2d\": [525, 391, 581, 422], \"label\": \"four die\"},\n {\"box_2d\": [643, 372, 700, 404], \"label\": \"six die\"},\n {\"box_2d\": [755, 448, 804, 475], \"label\": \"five die\"},\n {\"box_2d\": [758, 509, 811, 538], \"label\": \"four die\"},\n {\"box_2d\": [772, 563, 829, 595], \"label\": \"four die\"},\n {\"box_2d\": [625, 501, 672, 528], \"label\": \"two die\"},\n {\"box_2d\": [628, 540, 686, 573], \"label\": \"two die\"},\n {\"box_2d\": [590, 582, 639, 609], \"label\": \"four die\"},\n {\"box_2d\": [402, 473, 456, 504], \"label\": \"one die\"},\n {\"box_2d\": [302, 489, 353, 518], \"label\": \"three die\"},\n {\"box_2d\": [375, 530, 431, 562], \"label\": \"six die\"},\n {\"box_2d\": [213, 496, 271, 529], \"label\": \"one die\"},\n {\"box_2d\": [231, 528, 281, 556], \"label\": \"two die\"},\n {\"box_2d\": [182, 539, 239, 571], \"label\": \"four die\"},\n {\"box_2d\": [126, 553, 181, 583], \"label\": \"two die\"},\n {\"box_2d\": [172, 569, 226, 601], \"label\": \"two die\"},\n {\"box_2d\": [20, 613, 79, 645], \"label\": \"five die\"},\n {\"box_2d\": [286, 612, 344, 644], \"label\": \"two die\"},\n {\"box_2d\": [335, 634, 383, 662], \"label\": \"two die\"},\n {\"box_2d\": [396, 639, 446, 667], \"label\": \"five die\"},\n {\"box_2d\": [461, 586, 517, 618], \"label\": \"six die\"},\n {\"box_2d\": [482, 626, 538, 659], \"label\": \"one die\"},\n {\"box_2d\": [537, 628, 590, 658], \"label\": \"four die\"},\n {\"box_2d\": [569, 650, 626, 683], \"label\": \"six die\"},\n {\"box_2d\": [641, 665, 696, 697], \"label\": \"three die\"},\n {\"box_2d\": [354, 696, 402, 723], \"label\": \"four die\"},\n {\"box_2d\": [401, 730, 460, 764], \"label\": \"four die\"},\n {\"box_2d\": [464, 742, 521, 776], \"label\": \"five die\"},\n {\"box_2d\": [515, 757, 566, 788], \"label\": \"two die\"},\n {\"box_2d\": [585, 769, 642, 802], \"label\": \"three die\"},\n {\"box_2d\": [138, 729, 192, 759], \"label\": \"one die\"},\n {\"box_2d\": [158, 792, 217, 826], \"label\": \"three die\"},\n {\"box_2d\": [449, 858, 498, 888], \"label\": \"four die\"},\n {\"box_2d\": [699, 912, 748, 942], \"label\": \"five die\"},\n {\"box_2d\": [126, 918, 184, 951], \"label\": \"two die\"},\n {\"box_2d\": [82, 935, 132, 965], \"label\": \"two die\"},\n {\"box_2d\": [127, 949, 177, 978], \"label\": \"three die\"}\n]\n```", "correct": true, "input_tokens": 1252, "output_tokens": 4022, "elapsed_seconds": 33.199376291944645, "metadata": {"match_method": "map", "num_predictions": 50, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9260175824165344, "attempts": 1, "retries": 0, "total_seconds": 33.2386}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 118, "image": "IMG_0603_jpeg.rf.ecb146a41f95c297fa9a3a9efb0e3ea5.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [462, 214, 616, 310], \"label\": \"peach jelly bean\"},\n {\"box_2d\": [338, 396, 456, 467], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [466, 519, 591, 642], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [344, 689, 447, 800], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [96, 771, 159, 825], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [102, 821, 162, 873], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [120, 868, 165, 912], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [152, 855, 216, 905], \"label\": \"caramel corn jelly bean\"}\n]\n```", "correct": true, "input_tokens": 1230, "output_tokens": 4775, "elapsed_seconds": 48.3999158750521, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8341583609580994, "attempts": 1, "retries": 0, "total_seconds": 48.4371}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 119, "image": "lot229_JPEG_jpg.rf.ffdf35568953f3fde9f8f46749018268.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [128, 355, 170, 380], \"label\": \"chicory seed\"},\n {\"box_2d\": [140, 376, 181, 400], \"label\": \"chicory seed\"},\n {\"box_2d\": [119, 410, 161, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [115, 452, 136, 495], \"label\": \"chicory seed\"},\n {\"box_2d\": [133, 430, 169, 470], \"label\": \"chicory seed\"},\n {\"box_2d\": [121, 466, 152, 508], \"label\": \"chicory seed\"},\n {\"box_2d\": [150, 449, 182, 489], \"label\": \"chicory seed\"},\n {\"box_2d\": [128, 488, 166, 523], \"label\": \"chicory seed\"},\n {\"box_2d\": [124, 540, 144, 586], \"label\": \"chicory seed\"},\n {\"box_2d\": [164, 491, 206, 515], \"label\": \"chicory seed\"},\n {\"box_2d\": [155, 510, 178, 554], \"label\": \"chicory seed\"},\n {\"box_2d\": [171, 512, 196, 556], \"label\": \"chicory seed\"},\n {\"box_2d\": [154, 547, 185, 591], \"label\": \"chicory seed\"},\n {\"box_2d\": [172, 555, 198, 600], \"label\": \"chicory seed\"},\n {\"box_2d\": [160, 598, 202, 620], \"label\": \"chicory seed\"},\n {\"box_2d\": [167, 617, 210, 639], \"label\": \"chicory seed\"},\n {\"box_2d\": [166, 658, 197, 697], \"label\": \"chicory seed\"},\n {\"box_2d\": [198, 678, 239, 704], \"label\": \"chicory seed\"},\n {\"box_2d\": [206, 698, 246, 720], \"label\": \"chicory seed\"},\n {\"box_2d\": [167, 297, 192, 343], \"label\": \"chicory seed\"},\n {\"box_2d\": [179, 262, 204, 300], \"label\": \"chicory seed\"},\n {\"box_2d\": [194, 239, 215, 285], \"label\": \"chicory seed\"},\n {\"box_2d\": [214, 253, 234, 298], \"label\": \"chicory seed\"},\n {\"box_2d\": [216, 230, 260, 251], \"label\": \"chicory seed\"},\n {\"box_2d\": [231, 247, 270, 267], \"label\": \"chicory seed\"},\n {\"box_2d\": [224, 264, 260, 304], \"label\": \"chicory seed\"},\n {\"box_2d\": [251, 198, 279, 241], \"label\": \"chicory seed\"},\n {\"box_2d\": [264, 220, 299, 248], \"label\": \"chicory seed\"},\n {\"box_2d\": [264, 243, 287, 286], \"label\": \"chicory seed\"},\n {\"box_2d\": [169, 347, 209, 372], \"label\": \"chicory seed\"},\n {\"box_2d\": [187, 314, 221, 355], \"label\": \"chicory seed\"},\n {\"box_2d\": [208, 315, 251, 345], \"label\": \"chicory seed\"},\n {\"box_2d\": [223, 301, 261, 336], \"label\": \"chicory seed\"},\n {\"box_2d\": [201, 353, 234, 396], \"label\": \"chicory seed\"},\n {\"box_2d\": [187, 390, 223, 427], \"label\": \"chicory seed\"},\n {\"box_2d\": [191, 424, 219, 470], \"label\": \"chicory seed\"},\n {\"box_2d\": [211, 446, 232, 489], \"label\": \"chicory seed\"},\n {\"box_2d\": [224, 381, 243, 421], \"label\": \"chicory seed\"},\n {\"box_2d\": [232, 340, 269, 377], \"label\": \"chicory seed\"},\n {\"box_2d\": [245, 355, 277, 391], \"label\": \"chicory seed\"},\n {\"box_2d\": [240, 389, 277, 426], \"label\": \"chicory seed\"},\n {\"box_2d\": [259, 304, 281, 351], \"label\": \"chicory seed\"},\n {\"box_2d\": [262, 410, 282, 456], \"label\": \"chicory seed\"},\n {\"box_2d\": [234, 468, 279, 499], \"label\": \"chicory seed\"},\n {\"box_2d\": [191, 505, 220, 549], \"label\": \"chicory seed\"},\n {\"box_2d\": [193, 529, 231, 564], \"label\": \"chicory seed\"},\n {\"box_2d\": [218, 487, 242, 534], \"label\": \"chicory seed\"},\n {\"box_2d\": [233, 494, 260, 538], \"label\": \"chicory seed\"},\n {\"box_2d\": [207, 546, 239, 586], \"label\": \"chicory seed\"},\n {\"box_2d\": [213, 559, 247, 600], \"label\": \"chicory seed\"},\n {\"box_2d\": [230, 563, 262, 607], \"label\": \"chicory seed\"},\n {\"box_2d\": [234, 520, 265, 558], \"label\": \"chicory seed\"},\n {\"box_2d\": [258, 498, 291, 536], \"label\": \"chicory seed\"},\n {\"box_2d\": [253, 529, 280, 571], \"label\": \"chicory seed\"},\n {\"box_2d\": [254, 566, 280, 610], \"label\": \"chicory seed\"},\n {\"box_2d\": [273, 534, 294, 574], \"label\": \"chicory seed\"},\n {\"box_2d\": [201, 599, 242, 621], \"label\": \"chicory seed\"},\n {\"box_2d\": [212, 610, 251, 644], \"label\": \"chicory seed\"},\n {\"box_2d\": [228, 616, 266, 653], \"label\": \"chicory seed\"},\n {\"box_2d\": [220, 646, 255, 672], \"label\": \"chicory seed\"},\n {\"box_2d\": [251, 636, 293, 667], \"label\": \"chicory seed\"},\n {\"box_2d\": [240, 666, 274, 703], \"label\": \"chicory seed\"},\n {\"box_2d\": [234, 718, 278, 744], \"label\": \"chicory seed\"},\n {\"box_2d\": [315, 203, 355, 235], \"label\": \"chicory seed\"},\n {\"box_2d\": [286, 256, 315, 296], \"label\": \"chicory seed\"},\n {\"box_2d\": [281, 285, 304, 331], \"label\": \"chicory seed\"},\n {\"box_2d\": [274, 330, 294, 375], \"label\": \"chicory seed\"},\n {\"box_2d\": [292, 322, 320, 367], \"label\": \"chicory seed\"},\n {\"box_2d\": [304, 297, 330, 340], \"label\": \"chicory seed\"},\n {\"box_2d\": [305, 234, 340, 271], \"label\": \"chicory seed\"},\n {\"box_2d\": [312, 269, 344, 313], \"label\": \"chicory seed\"},\n {\"box_2d\": [328, 266, 363, 312], \"label\": \"chicory seed\"},\n {\"box_2d\": [331, 246, 370, 290], \"label\": \"chicory seed\"},\n {\"box_2d\": [363, 278, 387, 320], \"label\": \"chicory seed\"},\n {\"box_2d\": [318, 347, 342, 389], \"label\": \"chicory seed\"},\n {\"box_2d\": [335, 320, 358, 366], \"label\": \"chicory seed\"},\n {\"box_2d\": [347, 312, 375, 357], \"label\": \"chicory seed\"},\n {\"box_2d\": [342, 356, 381, 388], \"label\": \"chicory seed\"},\n {\"box_2d\": [270, 373, 311, 403], \"label\": \"chicory seed\"},\n {\"box_2d\": [288, 363, 327, 399], \"label\": \"chicory seed\"},\n {\"box_2d\": [281, 398, 301, 442], \"label\": \"chicory seed\"},\n {\"box_2d\": [299, 405, 338, 440], \"label\": \"chicory seed\"},\n {\"box_2d\": [296, 427, 333, 456], \"label\": \"chicory seed\"},\n {\"box_2d\": [286, 443, 326, 471], \"label\": \"chicory seed\"},\n {\"box_2d\": [289, 458, 319, 500], \"label\": \"chicory seed\"},\n {\"box_2d\": [317, 455, 339, 502], \"label\": \"chicory seed\"},\n {\"box_2d\": [322, 391, 345, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [342, 387, 368, 432], \"label\": \"chicory seed\"},\n {\"box_2d\": [332, 436, 360, 481], \"label\": \"chicory seed\"},\n {\"box_2d\": [344, 430, 380, 463], \"label\": \"chicory seed\"},\n {\"box_2d\": [363, 396, 389, 437], \"label\": \"chicory seed\"},\n {\"box_2d\": [366, 375, 406, 398], \"label\": \"chicory seed\"},\n {\"box_2d\": [376, 405, 401, 447], \"label\": \"chicory seed\"},\n {\"box_2d\": [357, 452, 391, 491], \"label\": \"chicory seed\"},\n {\"box_2d\": [289, 498, 324, 531], \"label\": \"chicory seed\"},\n {\"box_2d\": [292, 532, 313, 577], \"label\": \"chicory seed\"},\n {\"box_2d\": [309, 517, 334, 559], \"label\": \"chicory seed\"},\n {\"box_2d\": [325, 495, 366, 521], \"label\": \"chicory seed\"},\n {\"box_2d\": [276, 572, 317, 597], \"label\": \"chicory seed\"},\n {\"box_2d\": [269, 588, 307, 624], \"label\": \"chicory seed\"},\n {\"box_2d\": [257, 604, 297, 640], \"label\": \"chicory seed\"},\n {\"box_2d\": [308, 558, 349, 580], \"label\": \"chicory seed\"},\n {\"box_2d\": [314, 570, 357, 595], \"label\": \"chicory seed\"},\n {\"box_2d\": [333, 578, 375, 603], \"label\": \"chicory seed\"},\n {\"box_2d\": [335, 524, 379, 554], \"label\": \"chicory seed\"},\n {\"box_2d\": [334, 543, 375, 579], \"label\": \"chicory seed\"},\n {\"box_2d\": [305, 596, 346, 619], \"label\": \"chicory seed\"},\n {\"box_2d\": [293, 617, 330, 656], \"label\": \"chicory seed\"},\n {\"box_2d\": [304, 637, 334, 681], \"label\": \"chicory seed\"},\n {\"box_2d\": [329, 600, 372, 630], \"label\": \"chicory seed\"},\n {\"box_2d\": [328, 618, 368, 650], \"label\": \"chicory seed\"},\n {\"box_2d\": [325, 655, 369, 684], \"label\": \"chicory seed\"},\n {\"box_2d\": [351, 614, 381, 659], \"label\": \"chicory seed\"},\n {\"box_2d\": [325, 682, 362, 718], \"label\": \"chicory seed\"},\n {\"box_2d\": [278, 719, 321, 741], \"label\": \"chicory seed\"},\n {\"box_2d\": [272, 747, 316, 772], \"label\": \"chicory seed\"},\n {\"box_2d\": [276, 761, 314, 794], \"label\": \"chicory seed\"},\n {\"box_2d\": [306, 773, 349, 801], \"label\": \"chicory seed\"},\n {\"box_2d\": [329, 786, 364, 824], \"label\": \"chicory seed\"},\n {\"box_2d\": [350, 788, 381, 831], \"label\": \"chicory seed\"},\n {\"box_2d\": [357, 744, 380, 787], \"label\": \"chicory seed\"},\n {\"box_2d\": [360, 703, 396, 740], \"label\": \"chicory seed\"},\n {\"box_2d\": [360, 680, 391, 720], \"label\": \"chicory seed\"},\n {\"box_2d\": [380, 683, 412, 726], \"label\": \"chicory seed\"},\n {\"box_2d\": [376, 126, 401, 169], \"label\": \"chicory seed\"},\n {\"box_2d\": [383, 145, 416, 179], \"label\": \"chicory seed\"},\n {\"box_2d\": [363, 187, 406, 214], \"label\": \"chicory seed\"},\n {\"box_2d\": [404, 177, 447, 202], \"label\": \"chicory seed\"},\n {\"box_2d\": [393, 204, 425, 245], \"label\": \"chicory seed\"},\n {\"box_2d\": [398, 229, 436, 259], \"label\": \"chicory seed\"},\n {\"box_2d\": [423, 195, 461, 228], \"label\": \"chicory seed\"},\n {\"box_2d\": [425, 231, 459, 271], \"label\": \"chicory seed\"},\n {\"box_2d\": [401, 274, 442, 306], \"label\": \"chicory seed\"},\n {\"box_2d\": [404, 303, 445, 328], \"label\": \"chicory seed\"},\n {\"box_2d\": [421, 326, 461, 350], \"label\": \"chicory seed\"},\n {\"box_2d\": [399, 342, 437, 375], \"label\": \"chicory seed\"},\n {\"box_2d\": [402, 376, 444, 404], \"label\": \"chicory seed\"},\n {\"box_2d\": [406, 409, 434, 445], \"label\": \"chicory seed\"},\n {\"box_2d\": [420, 398, 454, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [436, 387, 467, 432], \"label\": \"chicory seed\"},\n {\"box_2d\": [441, 355, 465, 401], \"label\": \"chicory seed\"},\n {\"box_2d\": [461, 342, 483, 387], \"label\": \"chicory seed\"},\n {\"box_2d\": [385, 440, 416, 480], \"label\": \"chicory seed\"},\n {\"box_2d\": [419, 430, 461, 463], \"label\": \"chicory seed\"},\n {\"box_2d\": [427, 444, 468, 476], \"label\": \"chicory seed\"},\n {\"box_2d\": [399, 459, 431, 502], \"label\": \"chicory seed\"},\n {\"box_2d\": [388, 477, 424, 515], \"label\": \"chicory seed\"},\n {\"box_2d\": [378, 493, 403, 537], \"label\": \"chicory seed\"},\n {\"box_2d\": [369, 550, 400, 594], \"label\": \"chicory seed\"},\n {\"box_2d\": [385, 547, 425, 585], \"label\": \"chicory seed\"},\n {\"box_2d\": [385, 524, 423, 563], \"label\": \"chicory seed\"},\n {\"box_2d\": [404, 513, 439, 556], \"label\": \"chicory seed\"},\n {\"box_2d\": [416, 501, 450, 545], \"label\": \"chicory seed\"},\n {\"box_2d\": [427, 476, 454, 521], \"label\": \"chicory seed\"},\n {\"box_2d\": [454, 466, 477, 512], \"label\": \"chicory seed\"},\n {\"box_2d\": [371, 593, 415, 616], \"label\": \"chicory seed\"},\n {\"box_2d\": [380, 608, 423, 636], \"label\": \"chicory seed\"},\n {\"box_2d\": [368, 632, 395, 678], \"label\": \"chicory seed\"},\n {\"box_2d\": [394, 622, 432, 654], \"label\": \"chicory seed\"},\n {\"box_2d\": [401, 634, 437, 673], \"label\": \"chicory seed\"},\n {\"box_2d\": [385, 658, 419, 697], \"label\": \"chicory seed\"},\n {\"box_2d\": [398, 577, 439, 608], \"label\": \"chicory seed\"},\n {\"box_2d\": [419, 554, 451, 597], \"label\": \"chicory seed\"},\n {\"box_2d\": [422, 605, 452, 649], \"label\": \"chicory seed\"},\n {\"box_2d\": [418, 644, 445, 687], \"label\": \"chicory seed\"},\n {\"box_2d\": [440, 648, 464, 693], \"label\": \"chicory seed\"},\n {\"box_2d\": [412, 688, 455, 714], \"label\": \"chicory seed\"},\n {\"box_2d\": [411, 711, 454, 734], \"label\": \"chicory seed\"},\n {\"box_2d\": [395, 733, 436, 769], \"label\": \"chicory seed\"},\n {\"box_2d\": [397, 772, 437, 809], \"label\": \"chicory seed\"},\n {\"box_2d\": [422, 752, 460, 779], \"label\": \"chicory seed\"},\n {\"box_2d\": [426, 778, 467, 814], \"label\": \"chicory seed\"},\n {\"box_2d\": [451, 725, 478, 768], \"label\": \"chicory seed\"},\n {\"box_2d\": [464, 751, 495, 793], \"label\": \"chicory seed\"},\n {\"box_2d\": [477, 795, 509, 835], \"label\": \"chicory seed\"},\n {\"box_2d\": [491, 802, 529, 842], \"label\": \"chicory seed\"},\n {\"box_2d\": [499, 779, 538, 805], \"label\": \"chicory seed\"},\n {\"box_2d\": [459, 191, 480, 233], \"label\": \"chicory seed\"},\n {\"box_2d\": [484, 187, 525, 216], \"label\": \"chicory seed\"},\n {\"box_2d\": [461, 241, 497, 281], \"label\": \"chicory seed\"},\n {\"box_2d\": [478, 232, 511, 274], \"label\": \"chicory seed\"},\n {\"box_2d\": [525, 220, 564, 253], \"label\": \"chicory seed\"},\n {\"box_2d\": [520, 245, 556, 285], \"label\": \"chicory seed\"},\n {\"box_2d\": [507, 267, 532, 310], \"label\": \"chicory seed\"},\n {\"box_2d\": [481, 316, 510, 360], \"label\": \"chicory seed\"},\n {\"box_2d\": [507, 308, 533, 350], \"label\": \"chicory seed\"},\n {\"box_2d\": [524, 311, 560, 352], \"label\": \"chicory seed\"},\n {\"box_2d\": [502, 343, 545, 376], \"label\": \"chicory seed\"},\n {\"box_2d\": [465, 398, 508, 422], \"label\": \"chicory seed\"},\n {\"box_2d\": [484, 386, 525, 412], \"label\": \"chicory seed\"},\n {\"box_2d\": [475, 418, 517, 450], \"label\": \"chicory seed\"},\n {\"box_2d\": [467, 450, 510, 486], \"label\": \"chicory seed\"},\n {\"box_2d\": [519, 370, 551, 408], \"label\": \"chicory seed\"},\n {\"box_2d\": [514, 403, 544, 444], \"label\": \"chicory seed\"},\n {\"box_2d\": [524, 418, 556, 462], \"label\": \"chicory seed\"},\n {\"box_2d\": [548, 423, 573, 469], \"label\": \"chicory seed\"},\n {\"box_2d\": [555, 379, 586, 422], \"label\": \"chicory seed\"},\n {\"box_2d\": [481, 478, 524, 503], \"label\": \"chicory seed\"},\n {\"box_2d\": [473, 499, 518, 525], \"label\": \"chicory seed\"},\n {\"box_2d\": [494, 506, 535, 540], \"label\": \"chicory seed\"},\n {\"box_2d\": [445, 515, 481, 553], \"label\": \"chicory seed\"},\n {\"box_2d\": [437, 541, 470, 584], \"label\": \"chicory seed\"},\n {\"box_2d\": [458, 544, 499, 580], \"label\": \"chicory seed\"},\n {\"box_2d\": [476, 522, 507, 565], \"label\": \"chicory seed\"},\n {\"box_2d\": [503, 533, 529, 578], \"label\": \"chicory seed\"},\n {\"box_2d\": [444, 585, 478, 626], \"label\": \"chicory seed\"},\n {\"box_2d\": [440, 603, 474, 646], \"label\": \"chicory seed\"},\n {\"box_2d\": [460, 575, 491, 619], \"label\": \"chicory seed\"},\n {\"box_2d\": [480, 576, 517, 617], \"label\": \"chicory seed\"},\n {\"box_2d\": [494, 558, 525, 601], \"label\": \"chicory seed\"},\n {\"box_2d\": [481, 610, 523, 640], \"label\": \"chicory seed\"},\n {\"box_2d\": [470, 619, 502, 658], \"label\": \"chicory seed\"},\n {\"box_2d\": [461, 641, 485, 683], \"label\": \"chicory seed\"},\n {\"box_2d\": [478, 653, 516, 678], \"label\": \"chicory seed\"},\n {\"box_2d\": [454, 686, 495, 719], \"label\": \"chicory seed\"},\n {\"box_2d\": [486, 682, 526, 716], \"label\": \"chicory seed\"},\n {\"box_2d\": [495, 658, 531, 691], \"label\": \"chicory seed\"},\n {\"box_2d\": [509, 635, 544, 671], \"label\": \"chicory seed\"},\n {\"box_2d\": [514, 594, 535, 634], \"label\": \"chicory seed\"},\n {\"box_2d\": [479, 722, 513, 764], \"label\": \"chicory seed\"},\n {\"box_2d\": [502, 704, 536, 745], \"label\": \"chicory seed\"},\n {\"box_2d\": [513, 736, 548, 777], \"label\": \"chicory seed\"},\n {\"box_2d\": [524, 687, 547, 732], \"label\": \"chicory seed\"},\n {\"box_2d\": [519, 668, 561, 692], \"label\": \"chicory seed\"},\n {\"box_2d\": [553, 181, 589, 219], \"label\": \"chicory seed\"},\n {\"box_2d\": [593, 171, 631, 205], \"label\": \"chicory seed\"},\n {\"box_2d\": [598, 195, 636, 233], \"label\": \"chicory seed\"},\n {\"box_2d\": [638, 193, 676, 232], \"label\": \"chicory seed\"},\n {\"box_2d\": [565, 263, 607, 293], \"label\": \"chicory seed\"},\n {\"box_2d\": [633, 273, 677, 298], \"label\": \"chicory seed\"},\n {\"box_2d\": [578, 305, 604, 351], \"label\": \"chicory seed\"},\n {\"box_2d\": [601, 331, 633, 372], \"label\": \"chicory seed\"},\n {\"box_2d\": [579, 346, 608, 391], \"label\": \"chicory seed\"},\n {\"box_2d\": [567, 389, 599, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [585, 404, 625, 436], \"label\": \"chicory seed\"},\n {\"box_2d\": [572, 436, 595, 481], \"label\": \"chicory seed\"},\n {\"box_2d\": [580, 472, 623, 495], \"label\": \"chicory seed\"},\n {\"box_2d\": [527, 483, 570, 511], \"label\": \"chicory seed\"},\n {\"box_2d\": [556, 497, 599, 521], \"label\": \"chicory seed\"},\n {\"box_2d\": [541, 511, 577, 545], \"label\": \"chicory seed\"},\n {\"box_2d\": [574, 518, 597, 558], \"label\": \"chicory seed\"},\n {\"box_2d\": [591, 521, 619, 566], \"label\": \"chicory seed\"},\n {\"box_2d\": [618, 520, 642, 565], \"label\": \"chicory seed\"},\n {\"box_2d\": [608, 490, 650, 514], \"label\": \"chicory seed\"},\n {\"box_2d\": [622, 458, 661, 490], \"label\": \"chicory seed\"},\n {\"box_2d\": [630, 414, 660, 456], \"label\": \"chicory seed\"},\n {\"box_2d\": [649, 405, 673, 450], \"label\": \"chicory seed\"},\n {\"box_2d\": [645, 368, 678, 410], \"label\": \"chicory seed\"},\n {\"box_2d\": [527, 570, 568, 593], \"label\": \"chicory seed\"},\n {\"box_2d\": [533, 588, 577, 613], \"label\": \"chicory seed\"},\n {\"box_2d\": [554, 551, 596, 576], \"label\": \"chicory seed\"},\n {\"box_2d\": [571, 566, 611, 600], \"label\": \"chicory seed\"},\n {\"box_2d\": [612, 561, 654, 585], \"label\": \"chicory seed\"},\n {\"box_2d\": [651, 544, 674, 589], \"label\": \"chicory seed\"},\n {\"box_2d\": [600, 579, 632, 621], \"label\": \"chicory seed\"},\n {\"box_2d\": [607, 604, 648, 641], \"label\": \"chicory seed\"},\n {\"box_2d\": [536, 606, 558, 646], \"label\": \"chicory seed\"},\n {\"box_2d\": [555, 610, 595, 646], \"label\": \"chicory seed\"},\n {\"box_2d\": [576, 600, 611, 641], \"label\": \"chicory seed\"},\n {\"box_2d\": [555, 635, 596, 670], \"label\": \"chicory seed\"},\n {\"box_2d\": [586, 633, 622, 672], \"label\": \"chicory seed\"},\n {\"box_2d\": [618, 634, 641, 680], \"label\": \"chicory seed\"},\n {\"box_2d\": [544, 694, 567, 738], \"label\": \"chicory seed\"},\n {\"box_2d\": [554, 677, 594, 711], \"label\": \"chicory seed\"},\n {\"box_2d\": [569, 693, 611, 728], \"label\": \"chicory seed\"},\n {\"box_2d\": [535, 738, 577, 771], \"label\": \"chicory seed\"},\n {\"box_2d\": [541, 770, 587, 795], \"label\": \"chicory seed\"},\n {\"box_2d\": [560, 728, 601, 753], \"label\": \"chicory seed\"},\n {\"box_2d\": [576, 748, 618, 771], \"label\": \"chicory seed\"},\n {\"box_2d\": [613, 679, 634, 728], \"label\": \"chicory seed\"},\n {\"box_2d\": [631, 672, 656, 717], \"label\": \"chicory seed\"},\n {\"box_2d\": [617, 734, 642, 777], \"label\": \"chicory seed\"},\n {\"box_2d\": [639, 707, 663, 753], \"label\": \"chicory seed\"},\n {\"box_2d\": [662, 716, 696, 758], \"label\": \"chicory seed\"},\n {\"box_2d\": [708, 276, 748, 311], \"label\": \"chicory seed\"},\n {\"box_2d\": [683, 327, 723, 353], \"label\": \"chicory seed\"},\n {\"box_2d\": [678, 345, 706, 388], \"label\": \"chicory seed\"},\n {\"box_2d\": [673, 386, 710, 412], \"label\": \"chicory seed\"},\n {\"box_2d\": [671, 413, 712, 444], \"label\": \"chicory seed\"},\n {\"box_2d\": [656, 450, 690, 489], \"label\": \"chicory seed\"},\n {\"box_2d\": [660, 484, 704, 511], \"label\": \"chicory seed\"},\n {\"box_2d\": [686, 461, 730, 486], \"label\": \"chicory seed\"},\n {\"box_2d\": [709, 405, 746, 442], \"label\": \"chicory seed\"},\n {\"box_2d\": [723, 442, 754, 484], \"label\": \"chicory seed\"},\n {\"box_2d\": [748, 409, 770, 455], \"label\": \"chicory seed\"},\n {\"box_2d\": [769, 354, 792, 397], \"label\": \"chicory seed\"},\n {\"box_2d\": [768, 396, 801, 435], \"label\": \"chicory seed\"},\n {\"box_2d\": [764, 453, 805, 477], \"label\": \"chicory seed\"},\n {\"box_2d\": [677, 531, 715, 570], \"label\": \"chicory seed\"},\n {\"box_2d\": [682, 554, 719, 595], \"label\": \"chicory seed\"},\n {\"box_2d\": [697, 564, 737, 602], \"label\": \"chicory seed\"},\n {\"box_2d\": [707, 582, 745, 620], \"label\": \"chicory seed\"},\n {\"box_2d\": [724, 498, 764, 523], \"label\": \"chicory seed\"},\n {\"box_2d\": [730, 519, 757, 562], \"label\": \"chicory seed\"},\n {\"box_2d\": [752, 510, 791, 545], \"label\": \"chicory seed\"},\n {\"box_2d\": [740, 551, 780, 585], \"label\": \"chicory seed\"},\n {\"box_2d\": [690, 637, 715, 681], \"label\": \"chicory seed\"},\n {\"box_2d\": [683, 679, 719, 720], \"label\": \"chicory seed\"},\n {\"box_2d\": [702, 661, 743, 694], \"label\": \"chicory seed\"},\n {\"box_2d\": [713, 640, 756, 664], \"label\": \"chicory seed\"},\n {\"box_2d\": [740, 602, 768, 648], \"label\": \"chicory seed\"},\n {\"box_2d\": [760, 601, 787, 644], \"label\": \"chicory seed\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 18684, "elapsed_seconds": 106.08858450001571, "metadata": {"match_method": "map", "num_predictions": 302, "num_ground_truth": 303, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3366336524486542, "attempts": 1, "retries": 0, "total_seconds": 106.2132}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 120, "image": "Screenshot-2024-05-16-144630_png.rf.ac24f71a7370686a36ea1f2bec910257.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [5, 118, 28, 139], \"label\": \"bullet hole\"},\n {\"box_2d\": [75, 125, 96, 146], \"label\": \"bullet hole\"},\n {\"box_2d\": [167, 137, 190, 158], \"label\": \"bullet hole\"},\n {\"box_2d\": [225, 144, 249, 166], \"label\": \"bullet hole\"},\n {\"box_2d\": [52, 342, 70, 366], \"label\": \"bullet hole\"},\n {\"box_2d\": [114, 341, 136, 365], \"label\": \"bullet hole\"},\n {\"box_2d\": [178, 341, 200, 363], \"label\": \"bullet hole\"},\n {\"box_2d\": [99, 565, 121, 586], \"label\": \"bullet hole\"},\n {\"box_2d\": [212, 506, 236, 530], \"label\": \"bullet hole\"},\n {\"box_2d\": [257, 610, 277, 633], \"label\": \"bullet hole\"},\n {\"box_2d\": [224, 670, 249, 695], \"label\": \"bullet hole\"},\n {\"box_2d\": [320, 668, 341, 692], \"label\": \"bullet hole\"},\n {\"box_2d\": [68, 808, 90, 832], \"label\": \"bullet hole\"},\n {\"box_2d\": [138, 792, 163, 818], \"label\": \"bullet hole\"},\n {\"box_2d\": [225, 847, 248, 870], \"label\": \"bullet hole\"},\n {\"box_2d\": [331, 835, 357, 858], \"label\": \"bullet hole\"},\n {\"box_2d\": [389, 829, 417, 852], \"label\": \"bullet hole\"},\n {\"box_2d\": [313, 560, 336, 582], \"label\": \"bullet hole\"},\n {\"box_2d\": [360, 608, 383, 632], \"label\": \"bullet hole\"},\n {\"box_2d\": [349, 273, 374, 297], \"label\": \"bullet hole\"},\n {\"box_2d\": [422, 220, 446, 244], \"label\": \"bullet hole\"},\n {\"box_2d\": [474, 156, 491, 173], \"label\": \"bullet hole\"},\n {\"box_2d\": [570, 91, 594, 117], \"label\": \"bullet hole\"},\n {\"box_2d\": [633, 35, 649, 56], \"label\": \"bullet hole\"},\n {\"box_2d\": [568, 271, 592, 295], \"label\": \"bullet hole\"},\n {\"box_2d\": [610, 247, 631, 271], \"label\": \"bullet hole\"},\n {\"box_2d\": [581, 361, 604, 386], \"label\": \"bullet hole\"},\n {\"box_2d\": [530, 461, 555, 487], \"label\": \"bullet hole\"},\n {\"box_2d\": [586, 610, 611, 633], \"label\": \"bullet hole\"},\n {\"box_2d\": [685, 608, 711, 632], \"label\": \"bullet hole\"},\n {\"box_2d\": [684, 451, 712, 478], \"label\": \"bullet hole\"},\n {\"box_2d\": [720, 354, 744, 381], \"label\": \"bullet hole\"},\n {\"box_2d\": [743, 172, 764, 194], \"label\": \"bullet hole\"},\n {\"box_2d\": [744, 259, 764, 285], \"label\": \"bullet hole\"},\n {\"box_2d\": [795, 235, 820, 257], \"label\": \"bullet hole\"},\n {\"box_2d\": [782, 341, 806, 362], \"label\": \"bullet hole\"},\n {\"box_2d\": [854, 320, 879, 342], \"label\": \"bullet hole\"},\n {\"box_2d\": [928, 168, 946, 189], \"label\": \"bullet hole\"},\n {\"box_2d\": [812, 518, 836, 540], \"label\": \"bullet hole\"},\n {\"box_2d\": [876, 454, 905, 482], \"label\": \"bullet hole\"},\n {\"box_2d\": [935, 537, 956, 561], \"label\": \"bullet hole\"},\n {\"box_2d\": [861, 608, 882, 634], \"label\": \"bullet hole\"},\n {\"box_2d\": [891, 780, 914, 803], \"label\": \"bullet hole\"},\n {\"box_2d\": [894, 886, 919, 909], \"label\": \"bullet hole\"}\n]\n```", "correct": false, "input_tokens": 1222, "output_tokens": 4471, "elapsed_seconds": 36.23233441601042, "metadata": {"match_method": "map", "num_predictions": 44, "num_ground_truth": 44, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.4509788453578949, "attempts": 1, "retries": 0, "total_seconds": 36.2529}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 121, "image": "GP010255_JPG_jpg.rf.a9c124de642391662cf0875377214d1e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [69, 525, 166, 780], \"label\": \"carrot\"},\n {\"box_2d\": [122, 513, 198, 769], \"label\": \"carrot\"},\n {\"box_2d\": [94, 346, 244, 558], \"label\": \"carrot\"},\n {\"box_2d\": [139, 281, 286, 418], \"label\": \"carrot\"},\n {\"box_2d\": [213, 315, 342, 391], \"label\": \"carrot\"},\n {\"box_2d\": [175, 377, 299, 618], \"label\": \"carrot\"},\n {\"box_2d\": [187, 594, 344, 775], \"label\": \"carrot\"},\n {\"box_2d\": [238, 344, 434, 442], \"label\": \"carrot\"},\n {\"box_2d\": [271, 424, 415, 614], \"label\": \"carrot\"},\n {\"box_2d\": [309, 646, 463, 790], \"label\": \"carrot\"},\n {\"box_2d\": [313, 305, 492, 366], \"label\": \"carrot\"},\n {\"box_2d\": [437, 329, 480, 519], \"label\": \"carrot\"},\n {\"box_2d\": [382, 515, 634, 573], \"label\": \"carrot\"},\n {\"box_2d\": [445, 279, 706, 341], \"label\": \"carrot\"},\n {\"box_2d\": [462, 377, 618, 472], \"label\": \"carrot\"},\n {\"box_2d\": [497, 369, 703, 461], \"label\": \"carrot\"},\n {\"box_2d\": [519, 467, 718, 519], \"label\": \"carrot\"},\n {\"box_2d\": [574, 493, 763, 587], \"label\": \"carrot\"},\n {\"box_2d\": [487, 555, 728, 634], \"label\": \"carrot\"},\n {\"box_2d\": [461, 626, 672, 687], \"label\": \"carrot\"},\n {\"box_2d\": [462, 685, 694, 763], \"label\": \"carrot\"},\n {\"box_2d\": [667, 633, 813, 793], \"label\": \"carrot\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 2293, "elapsed_seconds": 19.462186958058737, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 19.4877}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 122, "image": "20210325_203749_jpg.rf.1705fa1e1420cef9584e0f51c930586c.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [200, 135, 405, 349], \"label\": \"50 euro cent coin\"},\n {\"box_2d\": [134, 424, 327, 621], \"label\": \"1 euro coin\"},\n {\"box_2d\": [158, 682, 323, 851], \"label\": \"10 euro cent coin\"},\n {\"box_2d\": [366, 480, 505, 621], \"label\": \"1 euro cent coin\"},\n {\"box_2d\": [383, 749, 565, 935], \"label\": \"5 euro cent coin\"},\n {\"box_2d\": [439, 227, 603, 395], \"label\": \"2 euro cent coin\"},\n {\"box_2d\": [612, 417, 805, 611], \"label\": \"20 euro cent coin\"},\n {\"box_2d\": [611, 634, 835, 858], \"label\": \"2 euro coin\"}\n]\n```", "correct": true, "input_tokens": 1272, "output_tokens": 934, "elapsed_seconds": 8.819166000001132, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 8.836}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 123, "image": "53_jpeg_jpg.rf.827706d6e6ec3d14c5952c8d4c752e99.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [90, 378, 203, 491], \"label\": \"potato\"},\n {\"box_2d\": [126, 956, 250, 1000], \"label\": \"potato\"},\n {\"box_2d\": [312, 846, 427, 950], \"label\": \"potato\"},\n {\"box_2d\": [490, 574, 620, 688], \"label\": \"potato\"},\n {\"box_2d\": [519, 699, 623, 801], \"label\": \"potato\"},\n {\"box_2d\": [514, 843, 621, 949], \"label\": \"potato\"},\n {\"box_2d\": [718, 888, 804, 970], \"label\": \"potato\"},\n {\"box_2d\": [719, 625, 822, 718], \"label\": \"potato\"},\n {\"box_2d\": [715, 415, 860, 499], \"label\": \"potato\"},\n {\"box_2d\": [711, 66, 800, 194], \"label\": \"potato\"},\n {\"box_2d\": [919, 13, 1000, 109], \"label\": \"potato\"},\n {\"box_2d\": [926, 437, 1000, 526], \"label\": \"potato\"},\n {\"box_2d\": [921, 675, 1000, 771], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1240, "output_tokens": 1304, "elapsed_seconds": 14.544803166994825, "metadata": {"match_method": "map", "num_predictions": 13, "num_ground_truth": 13, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 14.5734}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 124, "image": "car-part-detection_Car-damages-1749_png_jpg.rf.841bd72a48ea0726dc55d3cf93207af1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [432, 74, 549, 130], \"label\": \"tail light\"},\n {\"box_2d\": [544, 60, 728, 174], \"label\": \"back bumper\"},\n {\"box_2d\": [277, 198, 721, 467], \"label\": \"back door\"},\n {\"box_2d\": [282, 206, 444, 435], \"label\": \"back window\"},\n {\"box_2d\": [284, 452, 461, 687], \"label\": \"front window\"},\n {\"box_2d\": [277, 442, 721, 742], \"label\": \"front door\"},\n {\"box_2d\": [406, 673, 470, 715], \"label\": \"mirror\"},\n {\"box_2d\": [286, 585, 456, 765], \"label\": \"windshield\"},\n {\"box_2d\": [401, 738, 484, 935], \"label\": \"hood\"},\n {\"box_2d\": [573, 896, 714, 988], \"label\": \"front bumper\"}\n]\n```", "correct": false, "input_tokens": 1246, "output_tokens": 1406, "elapsed_seconds": 17.53676391602494, "metadata": {"match_method": "map", "num_predictions": 10, "num_ground_truth": 13, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7087457776069641, "attempts": 1, "retries": 0, "total_seconds": 17.5565}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 125, "image": "1704196661687_jpg.rf.15374227e4fbd79145880dc340991d51.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [76, 450, 173, 521], \"label\": \"bean grain\"},\n {\"box_2d\": [110, 583, 198, 677], \"label\": \"bean grain\"},\n {\"box_2d\": [199, 142, 286, 213], \"label\": \"bean grain\"},\n {\"box_2d\": [189, 305, 297, 380], \"label\": \"bean grain\"},\n {\"box_2d\": [216, 535, 299, 642], \"label\": \"bean grain\"},\n {\"box_2d\": [190, 816, 272, 911], \"label\": \"bean grain\"},\n {\"box_2d\": [374, 135, 446, 239], \"label\": \"bean grain\"},\n {\"box_2d\": [454, 382, 539, 480], \"label\": \"bean grain\"},\n {\"box_2d\": [385, 715, 493, 795], \"label\": \"bean grain\"},\n {\"box_2d\": [548, 563, 626, 666], \"label\": \"bean grain\"},\n {\"box_2d\": [537, 858, 612, 964], \"label\": \"bean grain\"},\n {\"box_2d\": [609, 159, 693, 267], \"label\": \"bean grain\"},\n {\"box_2d\": [646, 404, 715, 501], \"label\": \"bean grain\"},\n {\"box_2d\": [637, 762, 703, 864], \"label\": \"bean grain\"},\n {\"box_2d\": [802, 343, 891, 439], \"label\": \"bean grain\"},\n {\"box_2d\": [754, 557, 843, 649], \"label\": \"bean grain\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 1519, "elapsed_seconds": 13.582859458983876, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 13.6}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 126, "image": "fall-detection_13_mp4-274_jpg.rf.81d37af519564fd17e00cbdde20bedcf.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [385, 472, 433, 538], \"label\": \"fallen person\"},\n {\"box_2d\": [386, 530, 447, 631], \"label\": \"fallen person\"},\n {\"box_2d\": [423, 591, 470, 725], \"label\": \"fallen person\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 612, "elapsed_seconds": 7.541942415991798, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 7.5533}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 127, "image": "tile_672_jpg.rf.563bc07bfb63272303ba7c8beec3dfd0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [26, 443, 81, 472], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [221, 713, 260, 737], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [333, 830, 354, 850], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [374, 333, 395, 366], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [436, 683, 473, 704], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [470, 829, 521, 863], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [514, 366, 539, 389], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [603, 691, 628, 706], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [609, 426, 628, 449], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [690, 825, 735, 857], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [875, 848, 920, 874], \"label\": \"ship in SAR satellite image\"}\n]\n```", "correct": true, "input_tokens": 1229, "output_tokens": 1770, "elapsed_seconds": 21.667446209001355, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9108911156654358, "attempts": 1, "retries": 0, "total_seconds": 21.7055}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 128, "image": "Screenshot-2024-05-16-150353_png.rf.28f931ef1556f4fbfc5b8964a85b5e08.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [19, 34, 52, 66], \"label\": \"bullet hole\"},\n {\"box_2d\": [62, 152, 96, 182], \"label\": \"bullet hole\"},\n {\"box_2d\": [108, 79, 141, 114], \"label\": \"bullet hole\"},\n {\"box_2d\": [205, 13, 244, 45], \"label\": \"bullet hole\"},\n {\"box_2d\": [203, 159, 240, 194], \"label\": \"bullet hole\"},\n {\"box_2d\": [299, 67, 336, 102], \"label\": \"bullet hole\"},\n {\"box_2d\": [326, 223, 358, 256], \"label\": \"bullet hole\"},\n {\"box_2d\": [251, 283, 286, 319], \"label\": \"bullet hole\"},\n {\"box_2d\": [69, 335, 103, 368], \"label\": \"bullet hole\"},\n {\"box_2d\": [28, 415, 62, 449], \"label\": \"bullet hole\"},\n {\"box_2d\": [192, 375, 228, 408], \"label\": \"bullet hole\"},\n {\"box_2d\": [179, 467, 213, 500], \"label\": \"bullet hole\"},\n {\"box_2d\": [387, 255, 421, 288], \"label\": \"bullet hole\"},\n {\"box_2d\": [461, 300, 495, 335], \"label\": \"bullet hole\"},\n {\"box_2d\": [431, 83, 463, 116], \"label\": \"bullet hole\"},\n {\"box_2d\": [375, 1, 410, 35], \"label\": \"bullet hole\"},\n {\"box_2d\": [510, 56, 543, 92], \"label\": \"bullet hole\"},\n {\"box_2d\": [80, 598, 113, 631], \"label\": \"bullet hole\"},\n {\"box_2d\": [110, 763, 145, 796], \"label\": \"bullet hole\"},\n {\"box_2d\": [124, 895, 157, 927], \"label\": \"bullet hole\"},\n {\"box_2d\": [75, 985, 109, 1000], \"label\": \"bullet hole\"},\n {\"box_2d\": [338, 764, 371, 796], \"label\": \"bullet hole\"},\n {\"box_2d\": [396, 986, 430, 1000], \"label\": \"bullet hole\"},\n {\"box_2d\": [430, 619, 463, 655], \"label\": \"bullet hole\"},\n {\"box_2d\": [587, 673, 623, 706], \"label\": \"bullet hole\"},\n {\"box_2d\": [549, 799, 581, 831], \"label\": \"bullet hole\"},\n {\"box_2d\": [734, 646, 767, 679], \"label\": \"bullet hole\"},\n {\"box_2d\": [795, 760, 827, 791], \"label\": \"bullet hole\"},\n {\"box_2d\": [711, 315, 740, 348], \"label\": \"bullet hole\"},\n {\"box_2d\": [810, 320, 840, 353], \"label\": \"bullet hole\"},\n {\"box_2d\": [710, 149, 746, 183], \"label\": \"bullet hole\"},\n {\"box_2d\": [812, 108, 846, 139], \"label\": \"bullet hole\"},\n {\"box_2d\": [826, 183, 859, 215], \"label\": \"bullet hole\"},\n {\"box_2d\": [919, 175, 949, 207], \"label\": \"bullet hole\"}\n]\n```", "correct": false, "input_tokens": 1222, "output_tokens": 2434, "elapsed_seconds": 21.33706983400043, "metadata": {"match_method": "map", "num_predictions": 34, "num_ground_truth": 34, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.732181191444397, "attempts": 1, "retries": 0, "total_seconds": 21.3518}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 129, "image": "9999942_00000_d_0000179_jpg.rf.00eabf74c1cd10c40aa228a466f9fe04.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [345, 0, 396, 24], \"label\": \"car\"},\n {\"box_2d\": [359, 17, 412, 60], \"label\": \"car\"},\n {\"box_2d\": [362, 57, 417, 100], \"label\": \"car\"},\n {\"box_2d\": [336, 137, 391, 171], \"label\": \"van\"},\n {\"box_2d\": [331, 187, 381, 223], \"label\": \"car\"},\n {\"box_2d\": [333, 250, 370, 299], \"label\": \"car\"},\n {\"box_2d\": [301, 277, 330, 326], \"label\": \"car\"},\n {\"box_2d\": [300, 379, 330, 424], \"label\": \"car\"},\n {\"box_2d\": [376, 373, 408, 421], \"label\": \"car\"},\n {\"box_2d\": [434, 355, 469, 408], \"label\": \"car\"},\n {\"box_2d\": [466, 346, 504, 400], \"label\": \"car\"},\n {\"box_2d\": [611, 131, 661, 199], \"label\": \"car\"},\n {\"box_2d\": [653, 112, 706, 176], \"label\": \"car\"},\n {\"box_2d\": [721, 257, 745, 273], \"label\": \"person\"},\n {\"box_2d\": [80, 394, 102, 422], \"label\": \"car\"},\n {\"box_2d\": [308, 681, 342, 720], \"label\": \"car\"},\n {\"box_2d\": [40, 764, 99, 785], \"label\": \"bus\"},\n {\"box_2d\": [176, 834, 273, 876], \"label\": \"bus\"},\n {\"box_2d\": [329, 969, 366, 996], \"label\": \"car\"},\n {\"box_2d\": [114, 976, 149, 1000], \"label\": \"van\"},\n {\"box_2d\": [75, 936, 130, 967], \"label\": \"truck\"},\n {\"box_2d\": [49, 914, 68, 928], \"label\": \"car\"},\n {\"box_2d\": [251, 811, 270, 819], \"label\": \"person\"}\n]\n```", "correct": false, "input_tokens": 1217, "output_tokens": 2029, "elapsed_seconds": 21.211339458008297, "metadata": {"match_method": "map", "num_predictions": 23, "num_ground_truth": 36, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3781839609146118, "attempts": 1, "retries": 0, "total_seconds": 21.2959}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 130, "image": "125_jpg.rf.c69f3d1b75a33297315d1889af6311e9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [502, 152, 628, 187], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [348, 267, 391, 304], \"label\": \"resistor symbol\"},\n {\"box_2d\": [527, 372, 687, 395], \"label\": \"resistor symbol\"},\n {\"box_2d\": [344, 464, 387, 509], \"label\": \"resistor symbol\"},\n {\"box_2d\": [546, 635, 718, 657], \"label\": \"resistor symbol\"},\n {\"box_2d\": [356, 722, 405, 775], \"label\": \"resistor symbol\"},\n {\"box_2d\": [146, 735, 250, 783], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [518, 840, 646, 860], \"label\": \"resistor symbol\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 897, "elapsed_seconds": 8.218258166918531, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 8.2236}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 131, "image": "IMG_20250815_164311_jpg.rf.83efd32a603d001fd15e3979d744bb04.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [552, 185, 616, 261], \"label\": \"barcode\"},\n {\"box_2d\": [627, 694, 696, 771], \"label\": \"barcode\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 488, "elapsed_seconds": 12.271492832922377, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 12.6111}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 132, "image": "Container-259_jpg.rf.0707fcc208504e8c70d360815ec87ed2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [236, 582, 295, 730], \"label\": \"shipping container number\"},\n {\"box_2d\": [289, 580, 322, 637], \"label\": \"container ISO type code\"}\n]\n```", "correct": true, "input_tokens": 1232, "output_tokens": 471, "elapsed_seconds": 7.748288208968006, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 7.7685}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 133, "image": "1704195139360_jpg.rf.325f2c91dbc2bf8869d0a95b29652b2f.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [118, 735, 160, 783], \"label\": \"lentil grain\"},\n {\"box_2d\": [205, 436, 250, 484], \"label\": \"lentil grain\"},\n {\"box_2d\": [303, 822, 341, 868], \"label\": \"lentil grain\"},\n {\"box_2d\": [309, 750, 348, 792], \"label\": \"lentil grain\"},\n {\"box_2d\": [336, 563, 374, 606], \"label\": \"lentil grain\"},\n {\"box_2d\": [412, 252, 454, 297], \"label\": \"lentil grain\"},\n {\"box_2d\": [471, 613, 509, 653], \"label\": \"lentil grain\"},\n {\"box_2d\": [533, 861, 576, 909], \"label\": \"lentil grain\"},\n {\"box_2d\": [554, 432, 591, 475], \"label\": \"lentil grain\"},\n {\"box_2d\": [614, 615, 654, 661], \"label\": \"lentil grain\"},\n {\"box_2d\": [629, 534, 672, 578], \"label\": \"lentil grain\"},\n {\"box_2d\": [749, 742, 792, 794], \"label\": \"lentil grain\"},\n {\"box_2d\": [796, 435, 836, 481], \"label\": \"lentil grain\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 1329, "elapsed_seconds": 15.994478541077115, "metadata": {"match_method": "map", "num_predictions": 13, "num_ground_truth": 13, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 16.0102}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 134, "image": "IMG_20250815_165037_jpg.rf.d4afcf541c2eaa2a500b0fc3e74f380a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [121, 265, 212, 311], \"label\": \"barcode\"},\n {\"box_2d\": [302, 427, 340, 471], \"label\": \"barcode\"},\n {\"box_2d\": [273, 565, 311, 608], \"label\": \"barcode\"},\n {\"box_2d\": [281, 842, 360, 882], \"label\": \"barcode\"},\n {\"box_2d\": [795, 220, 889, 268], \"label\": \"barcode\"},\n {\"box_2d\": [810, 429, 899, 474], \"label\": \"barcode\"},\n {\"box_2d\": [804, 665, 892, 706], \"label\": \"barcode\"},\n {\"box_2d\": [760, 822, 800, 860], \"label\": \"barcode\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 911, "elapsed_seconds": 14.061003124923445, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 14.3433}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 135, "image": "frame_0213_jpg.rf.a492e6ad2bcd535fad151a853f122d53.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [77, 127, 138, 166], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 176, 37, 211], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [1, 224, 39, 257], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [1, 258, 41, 286], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 290, 44, 324], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [87, 254, 147, 289], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [172, 232, 231, 271], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [427, 234, 495, 272], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [634, 241, 704, 282], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [167, 349, 227, 384], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [3, 418, 52, 452], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [49, 414, 108, 448], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [190, 455, 243, 489], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [272, 443, 333, 476], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [422, 466, 483, 502], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [537, 365, 610, 405], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [623, 363, 695, 405], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [742, 349, 822, 394], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [710, 452, 789, 491], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [835, 470, 913, 511], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 523, 46, 552], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [10, 548, 53, 575], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [6, 585, 53, 613], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [21, 623, 64, 654], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [64, 620, 117, 651], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [108, 554, 167, 586], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [213, 547, 270, 580], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [284, 546, 339, 579], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [421, 548, 483, 582], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [559, 563, 626, 603], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [576, 604, 620, 632], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [678, 563, 745, 607], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [545, 670, 608, 707], \"label\": \"garlic on conveyor\"}\n]\n```", "correct": false, "input_tokens": 1238, "output_tokens": 2409, "elapsed_seconds": 24.119054583017714, "metadata": {"match_method": "map", "num_predictions": 33, "num_ground_truth": 23, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7447794675827026, "attempts": 1, "retries": 0, "total_seconds": 24.2112}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 136, "image": "1668147836__jpg.rf.c1a720811dddd913a56ced8dd87e3a53.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [52, 362, 111, 389], \"label\": \"three die\"},\n {\"box_2d\": [48, 714, 108, 745], \"label\": \"six die\"},\n {\"box_2d\": [244, 141, 310, 178], \"label\": \"four die\"},\n {\"box_2d\": [247, 178, 302, 208], \"label\": \"one die\"},\n {\"box_2d\": [274, 284, 329, 311], \"label\": \"four die\"},\n {\"box_2d\": [232, 410, 289, 437], \"label\": \"two die\"},\n {\"box_2d\": [259, 565, 324, 598], \"label\": \"five die\"},\n {\"box_2d\": [215, 742, 274, 773], \"label\": \"three die\"},\n {\"box_2d\": [339, 480, 396, 510], \"label\": \"six die\"},\n {\"box_2d\": [315, 526, 378, 561], \"label\": \"five die\"},\n {\"box_2d\": [343, 565, 398, 593], \"label\": \"three die\"},\n {\"box_2d\": [398, 569, 458, 601], \"label\": \"one die\"},\n {\"box_2d\": [372, 657, 426, 685], \"label\": \"one die\"},\n {\"box_2d\": [339, 731, 405, 767], \"label\": \"four die\"},\n {\"box_2d\": [402, 350, 456, 377], \"label\": \"four die\"},\n {\"box_2d\": [427, 379, 486, 411], \"label\": \"five die\"},\n {\"box_2d\": [460, 315, 524, 349], \"label\": \"four die\"},\n {\"box_2d\": [494, 148, 554, 181], \"label\": \"five die\"},\n {\"box_2d\": [524, 274, 581, 303], \"label\": \"four die\"},\n {\"box_2d\": [565, 283, 626, 316], \"label\": \"five die\"},\n {\"box_2d\": [582, 349, 636, 379], \"label\": \"three die\"},\n {\"box_2d\": [532, 458, 595, 492], \"label\": \"four die\"},\n {\"box_2d\": [468, 568, 524, 597], \"label\": \"three die\"},\n {\"box_2d\": [536, 628, 591, 657], \"label\": \"four die\"},\n {\"box_2d\": [603, 568, 659, 597], \"label\": \"five die\"},\n {\"box_2d\": [429, 798, 485, 830], \"label\": \"six die\"},\n {\"box_2d\": [434, 827, 496, 860], \"label\": \"three die\"},\n {\"box_2d\": [546, 847, 608, 882], \"label\": \"two die\"},\n {\"box_2d\": [558, 901, 621, 937], \"label\": \"two die\"},\n {\"box_2d\": [618, 139, 680, 174], \"label\": \"five die\"},\n {\"box_2d\": [646, 190, 705, 223], \"label\": \"six die\"},\n {\"box_2d\": [758, 182, 821, 219], \"label\": \"four die\"},\n {\"box_2d\": [725, 211, 787, 245], \"label\": \"five die\"},\n {\"box_2d\": [733, 243, 788, 274], \"label\": \"three die\"},\n {\"box_2d\": [660, 274, 715, 306], \"label\": \"four die\"},\n {\"box_2d\": [710, 277, 761, 305], \"label\": \"six die\"},\n {\"box_2d\": [757, 271, 811, 301], \"label\": \"five die\"},\n {\"box_2d\": [811, 241, 872, 275], \"label\": \"six die\"},\n {\"box_2d\": [785, 300, 842, 330], \"label\": \"four die\"},\n {\"box_2d\": [894, 405, 956, 439], \"label\": \"one die\"},\n {\"box_2d\": [633, 436, 697, 471], \"label\": \"five die\"},\n {\"box_2d\": [733, 463, 793, 495], \"label\": \"four die\"},\n {\"box_2d\": [696, 509, 750, 537], \"label\": \"six die\"},\n {\"box_2d\": [642, 761, 695, 790], \"label\": \"six die\"},\n {\"box_2d\": [750, 717, 812, 752], \"label\": \"three die\"},\n {\"box_2d\": [755, 792, 815, 825], \"label\": \"six die\"},\n {\"box_2d\": [723, 825, 781, 858], \"label\": \"four die\"},\n {\"box_2d\": [798, 823, 854, 854], \"label\": \"two die\"},\n {\"box_2d\": [805, 908, 860, 942], \"label\": \"two die\"},\n {\"box_2d\": [911, 777, 962, 806], \"label\": \"two die\"}\n]\n```", "correct": false, "input_tokens": 1252, "output_tokens": 3983, "elapsed_seconds": 31.14814354199916, "metadata": {"match_method": "map", "num_predictions": 50, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6383677124977112, "attempts": 1, "retries": 0, "total_seconds": 31.1902}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 137, "image": "Lego_170_high_jpeg.rf.173b945a080a292465fe84cab83086af.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [114, 95, 214, 206], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [86, 237, 153, 341], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [149, 307, 205, 393], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [195, 86, 281, 181], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [193, 151, 270, 253], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [251, 155, 315, 265], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [362, 36, 444, 136], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [392, 102, 478, 199], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [636, 102, 695, 195], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [331, 297, 377, 400], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [227, 498, 330, 599], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [259, 575, 344, 650], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [116, 735, 174, 833], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [118, 876, 161, 974], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [176, 813, 267, 917], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [335, 754, 410, 838], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [408, 769, 488, 833], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [484, 710, 581, 769], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [536, 755, 640, 825], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [398, 377, 492, 427], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [380, 427, 452, 526], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [471, 391, 555, 479], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [472, 465, 566, 545], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [520, 256, 592, 361], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [545, 346, 625, 459], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [588, 321, 666, 429], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [617, 415, 690, 502], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [645, 217, 745, 290], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [650, 254, 725, 344], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [695, 281, 764, 383], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [716, 423, 801, 498], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [697, 474, 756, 579], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [749, 497, 847, 567], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [711, 699, 796, 779], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [668, 781, 766, 833], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [670, 825, 742, 906], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [734, 827, 810, 892], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [702, 895, 785, 961], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [585, 928, 665, 991], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [803, 814, 884, 898], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [849, 797, 930, 881], \"label\": \"lego 3x2 brick\"}\n]\n```", "correct": true, "input_tokens": 1244, "output_tokens": 6503, "elapsed_seconds": 53.254765709047206, "metadata": {"match_method": "map", "num_predictions": 41, "num_ground_truth": 42, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9801980257034302, "attempts": 1, "retries": 0, "total_seconds": 53.3222}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 138, "image": "DJI_0290_JPG_jpg.rf.052c45a410708d5965bfee1fe9dd1918.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [485, 370, 588, 481], \"label\": \"excavator\"},\n {\"box_2d\": [318, 194, 371, 246], \"label\": \"excavator\"},\n {\"box_2d\": [289, 417, 362, 487], \"label\": \"concrete mixer\"},\n {\"box_2d\": [134, 217, 174, 253], \"label\": \"concrete mixer\"},\n {\"box_2d\": [198, 301, 249, 347], \"label\": \"dump truck\"},\n {\"box_2d\": [447, 835, 529, 931], \"label\": \"dump truck\"},\n {\"box_2d\": [41, 0, 1000, 165], \"label\": \"tower crane\"}\n]\n```", "correct": true, "input_tokens": 1209, "output_tokens": 1480, "elapsed_seconds": 33.70936445903499, "metadata": {"match_method": "map", "num_predictions": 7, "num_ground_truth": 6, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 34.5412}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 139, "image": "oil-tank-detection_oiltank_165_jpg.rf.7a5e38aa38fc11f1234038d454ec044d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [577, 13, 710, 121], \"label\": \"oil tank\"},\n {\"box_2d\": [575, 130, 709, 239], \"label\": \"oil tank\"},\n {\"box_2d\": [571, 246, 704, 354], \"label\": \"oil tank\"},\n {\"box_2d\": [554, 361, 701, 479], \"label\": \"oil tank\"},\n {\"box_2d\": [548, 487, 701, 608], \"label\": \"oil tank\"},\n {\"box_2d\": [546, 616, 696, 738], \"label\": \"oil tank\"},\n {\"box_2d\": [541, 744, 692, 868], \"label\": \"oil tank\"},\n {\"box_2d\": [716, 13, 854, 121], \"label\": \"oil tank\"},\n {\"box_2d\": [714, 129, 850, 239], \"label\": \"oil tank\"},\n {\"box_2d\": [710, 247, 848, 355], \"label\": \"oil tank\"},\n {\"box_2d\": [708, 362, 859, 484], \"label\": \"oil tank\"},\n {\"box_2d\": [704, 492, 855, 613], \"label\": \"oil tank\"},\n {\"box_2d\": [700, 621, 852, 743], \"label\": \"oil tank\"},\n {\"box_2d\": [696, 749, 848, 873], \"label\": \"oil tank\"}\n]\n```", "correct": true, "input_tokens": 1217, "output_tokens": 1316, "elapsed_seconds": 13.188126458087936, "metadata": {"match_method": "map", "num_predictions": 14, "num_ground_truth": 14, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 13.2475}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 140, "image": "img268_png.rf.77932c9124f7e63f288e2be4179d983b.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [31, 388, 111, 460], \"label\": \"and gate symbol\"},\n {\"box_2d\": [78, 252, 112, 301], \"label\": \"not gate symbol\"},\n {\"box_2d\": [80, 546, 160, 617], \"label\": \"and gate symbol\"},\n {\"box_2d\": [152, 410, 187, 459], \"label\": \"not gate symbol\"},\n {\"box_2d\": [154, 702, 236, 776], \"label\": \"or gate symbol\"},\n {\"box_2d\": [228, 546, 309, 617], \"label\": \"and gate symbol\"},\n {\"box_2d\": [276, 410, 311, 459], \"label\": \"not gate symbol\"},\n {\"box_2d\": [278, 860, 360, 934], \"label\": \"or gate symbol\"},\n {\"box_2d\": [352, 546, 433, 618], \"label\": \"and gate symbol\"},\n {\"box_2d\": [402, 703, 482, 775], \"label\": \"and gate symbol\"},\n {\"box_2d\": [474, 568, 510, 617], \"label\": \"not gate symbol\"},\n {\"box_2d\": [549, 252, 584, 301], \"label\": \"not gate symbol\"},\n {\"box_2d\": [550, 388, 631, 460], \"label\": \"and gate symbol\"},\n {\"box_2d\": [600, 546, 681, 617], \"label\": \"and gate symbol\"},\n {\"box_2d\": [624, 252, 658, 301], \"label\": \"not gate symbol\"},\n {\"box_2d\": [650, 702, 731, 776], \"label\": \"or gate symbol\"},\n {\"box_2d\": [722, 410, 757, 459], \"label\": \"not gate symbol\"},\n {\"box_2d\": [724, 546, 804, 617], \"label\": \"and gate symbol\"},\n {\"box_2d\": [748, 860, 830, 934], \"label\": \"or gate symbol\"},\n {\"box_2d\": [846, 410, 882, 459], \"label\": \"not gate symbol\"},\n {\"box_2d\": [848, 546, 929, 618], \"label\": \"and gate symbol\"},\n {\"box_2d\": [872, 703, 954, 776], \"label\": \"and gate symbol\"}\n]\n```", "correct": true, "input_tokens": 1231, "output_tokens": 2142, "elapsed_seconds": 18.780780291068368, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 18.7968}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 141, "image": "170211-2-h_JPG_jpg.rf.4b0d2b71f289bdb00cd0502c7a7a2a5d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [245, 463, 929, 568], \"label\": \"insulator flashover\"}\n]\n```", "correct": false, "input_tokens": 1218, "output_tokens": 579, "elapsed_seconds": 17.128899207920767, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 17.5963}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 142, "image": "floorplan-windows-doors_10361_png.rf.0282a156e3e18e32c9b31eca83a8df92.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [90, 121, 153, 199], \"label\": \"door\"},\n {\"box_2d\": [149, 768, 206, 822], \"label\": \"door\"},\n {\"box_2d\": [288, 769, 342, 827], \"label\": \"door\"},\n {\"box_2d\": [356, 703, 412, 769], \"label\": \"door\"},\n {\"box_2d\": [481, 591, 538, 655], \"label\": \"door\"},\n {\"box_2d\": [548, 475, 606, 540], \"label\": \"door\"},\n {\"box_2d\": [547, 719, 603, 784], \"label\": \"door\"},\n {\"box_2d\": [612, 475, 670, 540], \"label\": \"door\"},\n {\"box_2d\": [725, 588, 791, 657], \"label\": \"door\"},\n {\"box_2d\": [869, 588, 941, 656], \"label\": \"door\"},\n {\"box_2d\": [188, 174, 286, 199], \"label\": \"window\"},\n {\"box_2d\": [312, 174, 411, 199], \"label\": \"window\"},\n {\"box_2d\": [436, 174, 534, 199], \"label\": \"window\"},\n {\"box_2d\": [636, 174, 735, 199], \"label\": \"window\"},\n {\"box_2d\": [867, 290, 890, 396], \"label\": \"window\"},\n {\"box_2d\": [869, 779, 892, 886], \"label\": \"window\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 1850, "elapsed_seconds": 17.892605541972443, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 17.9558}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 143, "image": "IMG_0588_jpeg.rf.ff3a785b0ac1ba5a56ab8eed6ca615a1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [35, 574, 96, 648], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [247, 549, 315, 629], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [240, 742, 318, 820], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [376, 481, 476, 534], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [439, 630, 514, 706], \"label\": \"caramel corn jelly bean\"},\n {\"box_2d\": [618, 554, 718, 603], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [628, 735, 738, 786], \"label\": \"mixed berry smoothie jelly bean\"}\n]\n```", "correct": true, "input_tokens": 1219, "output_tokens": 1038, "elapsed_seconds": 10.820612999959849, "metadata": {"match_method": "map", "num_predictions": 7, "num_ground_truth": 7, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 10.8518}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 144, "image": "signatures_image_100_png_jpg.rf.1b732e075f2453b4400e76d3923fe526.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [322, 72, 396, 434], \"label\": \"signature\"},\n {\"box_2d\": [345, 526, 390, 891], \"label\": \"signature\"},\n {\"box_2d\": [463, 124, 543, 449], \"label\": \"signature\"},\n {\"box_2d\": [450, 554, 517, 821], \"label\": \"signature\"},\n {\"box_2d\": [587, 107, 640, 428], \"label\": \"signature\"}\n]\n```", "correct": true, "input_tokens": 1200, "output_tokens": 604, "elapsed_seconds": 8.838803416932933, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 8.8527}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 145, "image": "paper-parts_8548_70_jpg.rf.61a39e9181e5ebef57cae728c932b730.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [99, 200, 393, 825], \"label\": \"figure\"},\n {\"box_2d\": [399, 118, 431, 882], \"label\": \"figure caption\"},\n {\"box_2d\": [482, 118, 513, 882], \"label\": \"table caption\"},\n {\"box_2d\": [531, 107, 583, 891], \"label\": \"table\"},\n {\"box_2d\": [633, 118, 655, 312], \"label\": \"subsection\"},\n {\"box_2d\": [674, 118, 725, 882], \"label\": \"paragraph\"},\n {\"box_2d\": [741, 305, 759, 882], \"label\": \"equation\"},\n {\"box_2d\": [778, 118, 882, 882], \"label\": \"paragraph\"},\n {\"box_2d\": [900, 490, 914, 509], \"label\": \"page number\"}\n]\n```", "correct": true, "input_tokens": 1255, "output_tokens": 1071, "elapsed_seconds": 20.27583862503525, "metadata": {"match_method": "map", "num_predictions": 9, "num_ground_truth": 9, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8749998807907104, "attempts": 1, "retries": 0, "total_seconds": 20.3135}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 146, "image": "19_jpeg_jpg.rf.34c89435b5ff9122cacb0cab18a49f99.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [33, 21, 128, 105], \"label\": \"potato\"},\n {\"box_2d\": [6, 331, 98, 428], \"label\": \"potato\"},\n {\"box_2d\": [21, 783, 134, 895], \"label\": \"potato\"},\n {\"box_2d\": [221, 0, 314, 82], \"label\": \"potato\"},\n {\"box_2d\": [184, 277, 297, 357], \"label\": \"potato\"},\n {\"box_2d\": [187, 395, 295, 478], \"label\": \"potato\"},\n {\"box_2d\": [197, 548, 307, 666], \"label\": \"potato\"},\n {\"box_2d\": [216, 789, 323, 901], \"label\": \"potato\"},\n {\"box_2d\": [402, 64, 498, 152], \"label\": \"potato\"},\n {\"box_2d\": [402, 327, 507, 415], \"label\": \"potato\"},\n {\"box_2d\": [396, 488, 513, 570], \"label\": \"potato\"},\n {\"box_2d\": [396, 709, 526, 795], \"label\": \"potato\"},\n {\"box_2d\": [357, 980, 500, 1000], \"label\": \"potato\"},\n {\"box_2d\": [602, 57, 711, 177], \"label\": \"potato\"},\n {\"box_2d\": [607, 780, 714, 865], \"label\": \"potato\"},\n {\"box_2d\": [790, 34, 902, 143], \"label\": \"potato\"},\n {\"box_2d\": [829, 486, 932, 582], \"label\": \"potato\"},\n {\"box_2d\": [844, 934, 951, 1000], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1240, "output_tokens": 1805, "elapsed_seconds": 17.76333424996119, "metadata": {"match_method": "map", "num_predictions": 18, "num_ground_truth": 18, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9251925349235535, "attempts": 1, "retries": 0, "total_seconds": 17.8045}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 147, "image": "f12_jpg.rf.fa104f4d104f326761c5485949eec7bb.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [320, 234, 610, 381], \"label\": \"wildfire\"},\n {\"box_2d\": [316, 596, 560, 796], \"label\": \"wildfire\"},\n {\"box_2d\": [716, 94, 941, 420], \"label\": \"wildfire\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 1297, "elapsed_seconds": 18.09578012500424, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 18.1832}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 148, "image": "f36_jpg.rf.8c77ed13627d4f4c8abf32c1c7573442.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 64, 596, 308], \"label\": \"wildfire\"},\n {\"box_2d\": [0, 653, 418, 835], \"label\": \"wildfire\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 1679, "elapsed_seconds": 24.828011500067078, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 24.9163}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 149, "image": "46_jpg.rf.ed53b85cf8112394121da4a88ce9efc4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [573, 150, 724, 213], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [529, 301, 650, 325], \"label\": \"resistor symbol\"},\n {\"box_2d\": [375, 376, 428, 439], \"label\": \"resistor symbol\"},\n {\"box_2d\": [170, 471, 304, 531], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [571, 465, 718, 521], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [381, 561, 439, 637], \"label\": \"resistor symbol\"},\n {\"box_2d\": [530, 668, 694, 695], \"label\": \"resistor symbol\"},\n {\"box_2d\": [602, 808, 728, 860], \"label\": \"dc current source symbol\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 1049, "elapsed_seconds": 12.327648291015066, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 12.4006}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 150, "image": "Lego_131_low_jpeg.rf.be14ef4b77b52f77c1ed45c59ee5b3a4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [187, 34, 286, 149], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [145, 146, 219, 254], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [125, 274, 212, 391], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [247, 229, 336, 319], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [224, 310, 305, 425], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [42, 439, 138, 551], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [64, 617, 152, 694], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [149, 622, 237, 695], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [0, 729, 69, 795], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [273, 507, 353, 597], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [250, 651, 326, 746], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [183, 930, 285, 986], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [371, 267, 466, 332], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [436, 281, 537, 357], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [514, 161, 598, 263], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [518, 330, 598, 405], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [450, 526, 494, 629], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [636, 190, 705, 297], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [698, 170, 766, 278], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [813, 261, 906, 373], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [597, 369, 663, 458], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [658, 342, 718, 449], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [714, 386, 793, 470], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [680, 440, 766, 526], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [788, 425, 865, 515], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [745, 596, 833, 678], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [352, 684, 449, 746], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [373, 728, 476, 807], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [467, 747, 569, 833], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [442, 798, 542, 891], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [533, 818, 601, 898], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [456, 946, 547, 1000], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [686, 916, 785, 999], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [754, 787, 861, 882], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [814, 729, 881, 825], \"label\": \"lego 4x1 brick\"}\n]\n```", "correct": true, "input_tokens": 1244, "output_tokens": 3166, "elapsed_seconds": 22.083471665973775, "metadata": {"match_method": "map", "num_predictions": 35, "num_ground_truth": 35, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8873172998428345, "attempts": 1, "retries": 0, "total_seconds": 22.1421}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 151, "image": "IMG_6677_jpeg_jpg.rf.66bd4292eb85ae8da61a8cef3e3384f8.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [373, 30, 460, 245], \"label\": \"green poker chip\"},\n {\"box_2d\": [402, 52, 476, 255], \"label\": \"green poker chip\"},\n {\"box_2d\": [423, 51, 494, 259], \"label\": \"green poker chip\"},\n {\"box_2d\": [452, 51, 509, 255], \"label\": \"green poker chip\"},\n {\"box_2d\": [469, 52, 524, 253], \"label\": \"green poker chip\"},\n {\"box_2d\": [480, 52, 540, 255], \"label\": \"green poker chip\"},\n {\"box_2d\": [498, 53, 557, 253], \"label\": \"green poker chip\"},\n {\"box_2d\": [517, 54, 574, 253], \"label\": \"green poker chip\"},\n {\"box_2d\": [535, 56, 591, 250], \"label\": \"green poker chip\"},\n {\"box_2d\": [547, 53, 609, 247], \"label\": \"green poker chip\"},\n {\"box_2d\": [369, 290, 455, 489], \"label\": \"orange poker chip\"},\n {\"box_2d\": [419, 295, 474, 490], \"label\": \"orange poker chip\"},\n {\"box_2d\": [435, 296, 492, 490], \"label\": \"orange poker chip\"},\n {\"box_2d\": [456, 296, 511, 488], \"label\": \"orange poker chip\"},\n {\"box_2d\": [472, 296, 527, 488], \"label\": \"orange poker chip\"},\n {\"box_2d\": [491, 296, 545, 484], \"label\": \"orange poker chip\"},\n {\"box_2d\": [506, 297, 562, 484], \"label\": \"orange poker chip\"},\n {\"box_2d\": [521, 298, 577, 484], \"label\": \"orange poker chip\"},\n {\"box_2d\": [531, 303, 591, 487], \"label\": \"orange poker chip\"},\n {\"box_2d\": [535, 312, 608, 492], \"label\": \"orange poker chip\"},\n {\"box_2d\": [462, 532, 560, 718], \"label\": \"orange poker chip\"},\n {\"box_2d\": [498, 524, 579, 710], \"label\": \"orange poker chip\"},\n {\"box_2d\": [530, 522, 613, 714], \"label\": \"orange poker chip\"},\n {\"box_2d\": [449, 708, 542, 902], \"label\": \"green poker chip\"},\n {\"box_2d\": [501, 718, 579, 922], \"label\": \"green poker chip\"},\n {\"box_2d\": [525, 725, 602, 932], \"label\": \"green poker chip\"}\n]\n```", "correct": true, "input_tokens": 1231, "output_tokens": 3387, "elapsed_seconds": 30.432237458997406, "metadata": {"match_method": "map", "num_predictions": 26, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 30.4497}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 152, "image": "indir-1-_jpeg_jpg.rf.8d614705afcf35f2ac222aa7d9e608ff.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [427, 154, 514, 289], \"label\": \"dimension annotation\"},\n {\"box_2d\": [446, 626, 502, 728], \"label\": \"dimension annotation\"},\n {\"box_2d\": [564, 158, 646, 307], \"label\": \"dimension annotation\"},\n {\"box_2d\": [610, 654, 660, 749], \"label\": \"dimension annotation\"},\n {\"box_2d\": [669, 337, 700, 533], \"label\": \"dimension annotation\"},\n {\"box_2d\": [749, 196, 795, 272], \"label\": \"dimension annotation\"},\n {\"box_2d\": [761, 139, 798, 189], \"label\": \"dimension annotation\"},\n {\"box_2d\": [825, 315, 868, 429], \"label\": \"dimension annotation\"},\n {\"box_2d\": [766, 611, 797, 676], \"label\": \"dimension annotation\"},\n {\"box_2d\": [774, 686, 817, 725], \"label\": \"dimension annotation\"},\n {\"box_2d\": [796, 686, 825, 760], \"label\": \"dimension annotation\"},\n {\"box_2d\": [726, 598, 758, 760], \"label\": \"dimension annotation\"},\n {\"box_2d\": [726, 598, 825, 810], \"label\": \"dimension annotation\"},\n {\"box_2d\": [825, 626, 868, 757], \"label\": \"dimension annotation\"},\n {\"box_2d\": [914, 208, 984, 977], \"label\": \"technical drawing table\"}\n]\n```", "correct": false, "input_tokens": 1233, "output_tokens": 1979, "elapsed_seconds": 20.197614000062458, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.4999999403953552, "attempts": 1, "retries": 0, "total_seconds": 20.2079}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 153, "image": "1217_4_jpg.rf.834d702ab7cd425111d5c60612f66627.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [6, 36, 108, 130], \"label\": \"black rook\"},\n {\"box_2d\": [26, 132, 118, 240], \"label\": \"black knight\"},\n {\"box_2d\": [16, 285, 118, 374], \"label\": \"black bishop\"},\n {\"box_2d\": [0, 404, 121, 493], \"label\": \"black king\"},\n {\"box_2d\": [0, 526, 120, 613], \"label\": \"black queen\"},\n {\"box_2d\": [25, 654, 128, 745], \"label\": \"black bishop\"},\n {\"box_2d\": [5, 769, 114, 880], \"label\": \"black knight\"},\n {\"box_2d\": [14, 898, 115, 1000], \"label\": \"black rook\"},\n {\"box_2d\": [162, 35, 234, 113], \"label\": \"black pawn\"},\n {\"box_2d\": [162, 181, 234, 252], \"label\": \"black pawn\"},\n {\"box_2d\": [159, 285, 231, 356], \"label\": \"black pawn\"},\n {\"box_2d\": [173, 412, 244, 482], \"label\": \"black pawn\"},\n {\"box_2d\": [170, 545, 241, 616], \"label\": \"black pawn\"},\n {\"box_2d\": [166, 651, 237, 722], \"label\": \"black pawn\"},\n {\"box_2d\": [162, 762, 234, 835], \"label\": \"black pawn\"},\n {\"box_2d\": [150, 891, 223, 972], \"label\": \"black pawn\"},\n {\"box_2d\": [772, 17, 843, 96], \"label\": \"white pawn\"},\n {\"box_2d\": [772, 159, 845, 231], \"label\": \"white pawn\"},\n {\"box_2d\": [766, 278, 838, 350], \"label\": \"white pawn\"},\n {\"box_2d\": [769, 396, 842, 468], \"label\": \"white pawn\"},\n {\"box_2d\": [758, 498, 831, 569], \"label\": \"white pawn\"},\n {\"box_2d\": [772, 651, 845, 723], \"label\": \"white pawn\"},\n {\"box_2d\": [757, 773, 829, 847], \"label\": \"white pawn\"},\n {\"box_2d\": [756, 876, 829, 956], \"label\": \"white pawn\"},\n {\"box_2d\": [882, 12, 978, 108], \"label\": \"white rook\"},\n {\"box_2d\": [890, 123, 987, 233], \"label\": \"white knight\"},\n {\"box_2d\": [887, 276, 991, 366], \"label\": \"white bishop\"},\n {\"box_2d\": [872, 388, 995, 478], \"label\": \"white king\"},\n {\"box_2d\": [879, 514, 999, 601], \"label\": \"white queen\"},\n {\"box_2d\": [873, 634, 976, 725], \"label\": \"white bishop\"},\n {\"box_2d\": [891, 764, 983, 866], \"label\": \"white knight\"},\n {\"box_2d\": [876, 886, 975, 991], \"label\": \"white rook\"}\n]\n```", "correct": true, "input_tokens": 1259, "output_tokens": 2442, "elapsed_seconds": 29.514274167013355, "metadata": {"match_method": "map", "num_predictions": 32, "num_ground_truth": 32, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 29.7045}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 154, "image": "123_jpg.rf.dd57cefde1b1d657a6704903a0c29594.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [168, 325, 200, 378], \"label\": \"resistor symbol\"},\n {\"box_2d\": [159, 623, 190, 683], \"label\": \"resistor symbol\"},\n {\"box_2d\": [273, 208, 350, 245], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [266, 439, 336, 474], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [228, 804, 323, 849], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [454, 324, 488, 375], \"label\": \"resistor symbol\"},\n {\"box_2d\": [445, 655, 482, 704], \"label\": \"resistor symbol\"},\n {\"box_2d\": [612, 213, 685, 238], \"label\": \"resistor symbol\"},\n {\"box_2d\": [636, 446, 720, 495], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [594, 832, 667, 853], \"label\": \"resistor symbol\"},\n {\"box_2d\": [818, 311, 902, 359], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [828, 622, 857, 675], \"label\": \"resistor symbol\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 1640, "elapsed_seconds": 14.430955584044568, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 14.4399}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 155, "image": "Container_799_jpg.rf.18c1df3db98a6063d7285fb7c0ffd780.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [148, 306, 566, 330], \"label\": \"shipping container number\"},\n {\"box_2d\": [137, 351, 285, 365], \"label\": \"container ISO type code\"},\n {\"box_2d\": [225, 804, 264, 945], \"label\": \"shipping container number\"},\n {\"box_2d\": [271, 865, 305, 904], \"label\": \"container ISO type code\"}\n]\n```", "correct": true, "input_tokens": 1232, "output_tokens": 779, "elapsed_seconds": 8.013128457940184, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 8.025}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 156, "image": "08fd33_0_1_png_jpg.rf.49b1ec7a3f580266e0267dce06883980.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [465, 148, 505, 159], \"label\": \"goalkeeper\"},\n {\"box_2d\": [413, 250, 452, 260], \"label\": \"player\"},\n {\"box_2d\": [606, 339, 619, 347], \"label\": \"football\"},\n {\"box_2d\": [300, 326, 327, 335], \"label\": \"referee\"},\n {\"box_2d\": [340, 439, 372, 449], \"label\": \"player\"},\n {\"box_2d\": [481, 431, 527, 443], \"label\": \"player\"},\n {\"box_2d\": [527, 408, 565, 422], \"label\": \"player\"},\n {\"box_2d\": [612, 429, 665, 442], \"label\": \"player\"},\n {\"box_2d\": [374, 488, 412, 498], \"label\": \"referee\"},\n {\"box_2d\": [439, 491, 481, 504], \"label\": \"player\"},\n {\"box_2d\": [396, 509, 434, 518], \"label\": \"player\"},\n {\"box_2d\": [371, 533, 406, 542], \"label\": \"player\"},\n {\"box_2d\": [352, 626, 386, 636], \"label\": \"player\"},\n {\"box_2d\": [369, 630, 404, 640], \"label\": \"player\"},\n {\"box_2d\": [399, 606, 437, 616], \"label\": \"player\"},\n {\"box_2d\": [416, 623, 456, 635], \"label\": \"player\"},\n {\"box_2d\": [448, 617, 494, 626], \"label\": \"player\"},\n {\"box_2d\": [386, 661, 424, 670], \"label\": \"player\"},\n {\"box_2d\": [416, 647, 456, 657], \"label\": \"player\"},\n {\"box_2d\": [503, 627, 548, 637], \"label\": \"player\"},\n {\"box_2d\": [465, 705, 511, 719], \"label\": \"player\"},\n {\"box_2d\": [602, 680, 654, 694], \"label\": \"player\"},\n {\"box_2d\": [573, 773, 613, 787], \"label\": \"player\"},\n {\"box_2d\": [630, 836, 681, 850], \"label\": \"player\"},\n {\"box_2d\": [645, 825, 703, 843], \"label\": \"referee\"},\n {\"box_2d\": [402, 907, 444, 918], \"label\": \"goalkeeper\"}\n]\n```", "correct": true, "input_tokens": 1242, "output_tokens": 2858, "elapsed_seconds": 23.85645912506152, "metadata": {"match_method": "map", "num_predictions": 26, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 23.9529}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 157, "image": "Lego_122_low_jpeg.rf.ea0402c215977271fc16971fe6cad37a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [77, 192, 155, 310], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [138, 365, 246, 443], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [188, 466, 286, 576], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [214, 591, 313, 648], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [100, 651, 211, 749], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [60, 777, 155, 861], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [95, 833, 196, 936], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [267, 315, 355, 408], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [346, 321, 444, 385], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [340, 183, 437, 260], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [378, 55, 459, 160], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [508, 135, 599, 253], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [339, 472, 443, 554], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [374, 680, 462, 766], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [335, 747, 439, 829], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [326, 939, 427, 1000], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [551, 537, 641, 626], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [554, 628, 627, 713], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [609, 687, 690, 741], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [627, 403, 710, 480], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [709, 391, 814, 481], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [710, 452, 797, 538], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [748, 550, 827, 608], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [784, 187, 870, 286], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [636, 739, 709, 843], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [690, 780, 785, 851], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [679, 827, 767, 931], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [601, 913, 675, 965], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [779, 873, 862, 933], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [760, 946, 856, 1000], \"label\": \"lego 4x1 brick\"}\n]\n```", "correct": true, "input_tokens": 1244, "output_tokens": 3294, "elapsed_seconds": 32.754830415942706, "metadata": {"match_method": "map", "num_predictions": 30, "num_ground_truth": 30, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 32.8244}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 158, "image": "20230220_110126_jpg.rf.9dd19de1f35f973245770a80a67f5a86.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [470, 36, 493, 127], \"label\": \"crack\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 383, "elapsed_seconds": 6.801091458066367, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 6.8174}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 159, "image": "20230224_102553_jpg.rf.405f8900643fe92cf5dde61e03ca7cd9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [600, 817, 691, 910], \"label\": \"crack\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 306, "elapsed_seconds": 6.0523518330883235, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 6.0751}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 160, "image": "40_jpg.rf.9c5565949caf7c10eef3c765c461dcc3.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [34, 165, 355, 220], \"label\": \"blood sample tube\"},\n {\"box_2d\": [209, 168, 513, 265], \"label\": \"blood sample tube\"},\n {\"box_2d\": [392, 155, 695, 276], \"label\": \"blood sample tube\"},\n {\"box_2d\": [153, 255, 467, 336], \"label\": \"blood sample tube\"},\n {\"box_2d\": [35, 316, 156, 549], \"label\": \"blood sample tube\"},\n {\"box_2d\": [27, 504, 93, 745], \"label\": \"blood sample tube\"},\n {\"box_2d\": [87, 594, 159, 845], \"label\": \"blood sample tube\"},\n {\"box_2d\": [142, 476, 469, 535], \"label\": \"blood sample tube\"},\n {\"box_2d\": [142, 534, 444, 667], \"label\": \"blood sample tube\"},\n {\"box_2d\": [196, 581, 428, 790], \"label\": \"blood sample tube\"},\n {\"box_2d\": [396, 370, 567, 597], \"label\": \"blood sample tube\"},\n {\"box_2d\": [386, 551, 504, 799], \"label\": \"blood sample tube\"},\n {\"box_2d\": [427, 595, 550, 840], \"label\": \"blood sample tube\"},\n {\"box_2d\": [264, 767, 560, 927], \"label\": \"blood sample tube\"},\n {\"box_2d\": [70, 839, 398, 896], \"label\": \"blood sample tube\"},\n {\"box_2d\": [142, 886, 468, 940], \"label\": \"blood sample tube\"},\n {\"box_2d\": [517, 687, 650, 942], \"label\": \"blood sample tube\"},\n {\"box_2d\": [560, 664, 709, 913], \"label\": \"blood sample tube\"},\n {\"box_2d\": [600, 617, 738, 860], \"label\": \"blood sample tube\"},\n {\"box_2d\": [612, 480, 731, 731], \"label\": \"blood sample tube\"},\n {\"box_2d\": [673, 491, 741, 738], \"label\": \"blood sample tube\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 2492, "elapsed_seconds": 23.147082458017394, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 21, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 23.166}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 161, "image": "car-part-detection_Car-damages-765_png_jpg.rf.98f80e9f33638af692acb0b18adddcfd.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [139, 130, 288, 219], \"label\": \"back window\"},\n {\"box_2d\": [140, 211, 328, 323], \"label\": \"front window\"},\n {\"box_2d\": [298, 211, 356, 326], \"label\": \"mirror\"},\n {\"box_2d\": [244, 114, 512, 218], \"label\": \"back door\"},\n {\"box_2d\": [288, 193, 619, 333], \"label\": \"front door\"},\n {\"box_2d\": [126, 307, 344, 675], \"label\": \"windshield\"},\n {\"box_2d\": [251, 391, 551, 909], \"label\": \"hood\"},\n {\"box_2d\": [507, 509, 626, 740], \"label\": \"headlight\"},\n {\"box_2d\": [547, 504, 895, 930], \"label\": \"front bumper\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 1547, "elapsed_seconds": 16.983215791988187, "metadata": {"match_method": "map", "num_predictions": 9, "num_ground_truth": 13, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7281727194786072, "attempts": 1, "retries": 0, "total_seconds": 16.9944}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 162, "image": "frame_0089_jpg.rf.c7cd5f3b9d3ee6d5f30b8357b148d8d4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [236, 325, 280, 352], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [248, 381, 294, 410], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [257, 441, 303, 470], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [280, 502, 326, 529], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [336, 313, 384, 339], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [350, 370, 400, 399], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [362, 430, 412, 459], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [382, 493, 431, 521], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [443, 305, 493, 332], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [460, 364, 513, 393], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [472, 424, 525, 454], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [496, 487, 548, 517], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [917, 291, 967, 317], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [928, 351, 978, 379], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [940, 414, 991, 443], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [949, 480, 998, 509], \"label\": \"soda bottle cap\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 1542, "elapsed_seconds": 18.68744745803997, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 19.0819}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 163, "image": "IMG_5103_JPG.rf.05aa0caa3f6431dd232e7223cc79a35a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [608, 272, 654, 297], \"label\": \"face\"},\n {\"box_2d\": [645, 324, 691, 349], \"label\": \"face\"},\n {\"box_2d\": [696, 398, 747, 427], \"label\": \"face\"},\n {\"box_2d\": [357, 353, 382, 365], \"label\": \"face\"},\n {\"box_2d\": [363, 386, 387, 398], \"label\": \"face\"},\n {\"box_2d\": [370, 404, 396, 417], \"label\": \"face\"},\n {\"box_2d\": [421, 540, 448, 554], \"label\": \"face\"},\n {\"box_2d\": [427, 575, 453, 589], \"label\": \"face\"},\n {\"box_2d\": [441, 619, 469, 634], \"label\": \"face\"},\n {\"box_2d\": [392, 559, 417, 573], \"label\": \"face\"},\n {\"box_2d\": [398, 605, 423, 619], \"label\": \"face\"},\n {\"box_2d\": [421, 646, 448, 661], \"label\": \"face\"},\n {\"box_2d\": [428, 688, 456, 702], \"label\": \"face\"},\n {\"box_2d\": [437, 714, 463, 728], \"label\": \"face\"},\n {\"box_2d\": [458, 772, 486, 785], \"label\": \"face\"},\n {\"box_2d\": [383, 666, 408, 679], \"label\": \"face\"},\n {\"box_2d\": [375, 628, 396, 640], \"label\": \"face\"},\n {\"box_2d\": [375, 603, 397, 615], \"label\": \"face\"},\n {\"box_2d\": [369, 715, 392, 727], \"label\": \"face\"},\n {\"box_2d\": [365, 680, 388, 691], \"label\": \"face\"},\n {\"box_2d\": [331, 502, 353, 513], \"label\": \"face\"},\n {\"box_2d\": [329, 471, 353, 484], \"label\": \"face\"},\n {\"box_2d\": [344, 618, 367, 630], \"label\": \"face\"},\n {\"box_2d\": [345, 653, 367, 665], \"label\": \"face\"},\n {\"box_2d\": [327, 663, 349, 674], \"label\": \"face\"},\n {\"box_2d\": [324, 634, 347, 645], \"label\": \"face\"},\n {\"box_2d\": [334, 755, 357, 767], \"label\": \"face\"},\n {\"box_2d\": [342, 725, 366, 737], \"label\": \"face\"},\n {\"box_2d\": [286, 420, 307, 430], \"label\": \"face\"},\n {\"box_2d\": [290, 441, 311, 452], \"label\": \"face\"},\n {\"box_2d\": [300, 609, 321, 620], \"label\": \"face\"},\n {\"box_2d\": [300, 551, 322, 563], \"label\": \"face\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 3085, "elapsed_seconds": 30.906142124906182, "metadata": {"match_method": "map", "num_predictions": 32, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.4918023943901062, "attempts": 1, "retries": 0, "total_seconds": 31.2239}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 164, "image": "fall-detection_camerathree-second_mp4-114_jpg.rf.8d4ab219233d1b243e3602fc397d1bfa.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [580, 357, 667, 588], \"label\": \"fallen person\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 240, "elapsed_seconds": 4.806959167006426, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 4.822}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 165, "image": "lot301_JPEG_jpg.rf.190ac2533508d09b091e542956d526a5.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [162, 424, 198, 460], \"label\": \"chicory seed\"},\n {\"box_2d\": [168, 583, 205, 619], \"label\": \"chicory seed\"},\n {\"box_2d\": [182, 344, 210, 384], \"label\": \"chicory seed\"},\n {\"box_2d\": [184, 439, 219, 476], \"label\": \"chicory seed\"},\n {\"box_2d\": [181, 466, 207, 509], \"label\": \"chicory seed\"},\n {\"box_2d\": [194, 496, 220, 537], \"label\": \"chicory seed\"},\n {\"box_2d\": [196, 619, 221, 664], \"label\": \"chicory seed\"},\n {\"box_2d\": [202, 567, 230, 610], \"label\": \"chicory seed\"},\n {\"box_2d\": [196, 369, 236, 396], \"label\": \"chicory seed\"},\n {\"box_2d\": [210, 341, 245, 379], \"label\": \"chicory seed\"},\n {\"box_2d\": [214, 291, 244, 335], \"label\": \"chicory seed\"},\n {\"box_2d\": [211, 405, 231, 449], \"label\": \"chicory seed\"},\n {\"box_2d\": [219, 532, 246, 573], \"label\": \"chicory seed\"},\n {\"box_2d\": [218, 608, 245, 653], \"label\": \"chicory seed\"},\n {\"box_2d\": [225, 683, 265, 718], \"label\": \"chicory seed\"},\n {\"box_2d\": [222, 469, 261, 498], \"label\": \"chicory seed\"},\n {\"box_2d\": [226, 392, 256, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [226, 429, 249, 472], \"label\": \"chicory seed\"},\n {\"box_2d\": [232, 300, 258, 347], \"label\": \"chicory seed\"},\n {\"box_2d\": [237, 490, 269, 530], \"label\": \"chicory seed\"},\n {\"box_2d\": [235, 550, 268, 590], \"label\": \"chicory seed\"},\n {\"box_2d\": [235, 580, 274, 613], \"label\": \"chicory seed\"},\n {\"box_2d\": [234, 640, 261, 681], \"label\": \"chicory seed\"},\n {\"box_2d\": [239, 259, 281, 289], \"label\": \"chicory seed\"},\n {\"box_2d\": [245, 714, 284, 751], \"label\": \"chicory seed\"},\n {\"box_2d\": [242, 333, 285, 362], \"label\": \"chicory seed\"},\n {\"box_2d\": [239, 374, 271, 415], \"label\": \"chicory seed\"},\n {\"box_2d\": [248, 360, 281, 397], \"label\": \"chicory seed\"},\n {\"box_2d\": [248, 422, 280, 463], \"label\": \"chicory seed\"},\n {\"box_2d\": [241, 619, 282, 646], \"label\": \"chicory seed\"},\n {\"box_2d\": [258, 286, 278, 330], \"label\": \"chicory seed\"},\n {\"box_2d\": [264, 565, 301, 600], \"label\": \"chicory seed\"},\n {\"box_2d\": [262, 659, 296, 700], \"label\": \"chicory seed\"},\n {\"box_2d\": [270, 646, 308, 684], \"label\": \"chicory seed\"},\n {\"box_2d\": [270, 220, 303, 263], \"label\": \"chicory seed\"},\n {\"box_2d\": [275, 271, 300, 317], \"label\": \"chicory seed\"},\n {\"box_2d\": [277, 316, 318, 341], \"label\": \"chicory seed\"},\n {\"box_2d\": [282, 338, 323, 363], \"label\": \"chicory seed\"},\n {\"box_2d\": [278, 361, 320, 386], \"label\": \"chicory seed\"},\n {\"box_2d\": [267, 386, 299, 426], \"label\": \"chicory seed\"},\n {\"box_2d\": [267, 444, 308, 470], \"label\": \"chicory seed\"},\n {\"box_2d\": [282, 405, 314, 447], \"label\": \"chicory seed\"},\n {\"box_2d\": [280, 469, 305, 505], \"label\": \"chicory seed\"},\n {\"box_2d\": [272, 507, 306, 545], \"label\": \"chicory seed\"},\n {\"box_2d\": [280, 538, 321, 569], \"label\": \"chicory seed\"},\n {\"box_2d\": [274, 597, 311, 635], \"label\": \"chicory seed\"},\n {\"box_2d\": [274, 728, 315, 752], \"label\": \"chicory seed\"},\n {\"box_2d\": [275, 748, 304, 787], \"label\": \"chicory seed\"},\n {\"box_2d\": [284, 706, 323, 734], \"label\": \"chicory seed\"},\n {\"box_2d\": [294, 694, 331, 725], \"label\": \"chicory seed\"},\n {\"box_2d\": [290, 379, 329, 403], \"label\": \"chicory seed\"},\n {\"box_2d\": [296, 613, 319, 659], \"label\": \"chicory seed\"},\n {\"box_2d\": [301, 561, 346, 586], \"label\": \"chicory seed\"},\n {\"box_2d\": [302, 494, 327, 537], \"label\": \"chicory seed\"},\n {\"box_2d\": [305, 449, 331, 492], \"label\": \"chicory seed\"},\n {\"box_2d\": [306, 406, 335, 450], \"label\": \"chicory seed\"},\n {\"box_2d\": [300, 251, 323, 294], \"label\": \"chicory seed\"},\n {\"box_2d\": [298, 193, 338, 229], \"label\": \"chicory seed\"},\n {\"box_2d\": [304, 214, 345, 248], \"label\": \"chicory seed\"},\n {\"box_2d\": [301, 287, 335, 325], \"label\": \"chicory seed\"},\n {\"box_2d\": [318, 338, 343, 379], \"label\": \"chicory seed\"},\n {\"box_2d\": [329, 349, 364, 388], \"label\": \"chicory seed\"},\n {\"box_2d\": [324, 240, 355, 279], \"label\": \"chicory seed\"},\n {\"box_2d\": [334, 271, 358, 313], \"label\": \"chicory seed\"},\n {\"box_2d\": [338, 185, 361, 231], \"label\": \"chicory seed\"},\n {\"box_2d\": [353, 207, 377, 255], \"label\": \"chicory seed\"},\n {\"box_2d\": [355, 257, 385, 299], \"label\": \"chicory seed\"},\n {\"box_2d\": [360, 162, 400, 191], \"label\": \"chicory seed\"},\n {\"box_2d\": [369, 283, 401, 322], \"label\": \"chicory seed\"},\n {\"box_2d\": [377, 177, 410, 220], \"label\": \"chicory seed\"},\n {\"box_2d\": [372, 220, 409, 257], \"label\": \"chicory seed\"},\n {\"box_2d\": [394, 194, 428, 236], \"label\": \"chicory seed\"},\n {\"box_2d\": [377, 334, 402, 378], \"label\": \"chicory seed\"},\n {\"box_2d\": [377, 374, 419, 398], \"label\": \"chicory seed\"},\n {\"box_2d\": [394, 302, 429, 338], \"label\": \"chicory seed\"},\n {\"box_2d\": [401, 252, 439, 286], \"label\": \"chicory seed\"},\n {\"box_2d\": [411, 231, 446, 269], \"label\": \"chicory seed\"},\n {\"box_2d\": [419, 163, 459, 198], \"label\": \"chicory seed\"},\n {\"box_2d\": [428, 184, 469, 215], \"label\": \"chicory seed\"},\n {\"box_2d\": [432, 212, 474, 236], \"label\": \"chicory seed\"},\n {\"box_2d\": [421, 285, 452, 326], \"label\": \"chicory seed\"},\n {\"box_2d\": [413, 329, 439, 370], \"label\": \"chicory seed\"},\n {\"box_2d\": [317, 513, 341, 557], \"label\": \"chicory seed\"},\n {\"box_2d\": [312, 584, 341, 625], \"label\": \"chicory seed\"},\n {\"box_2d\": [322, 619, 363, 646], \"label\": \"chicory seed\"},\n {\"box_2d\": [312, 654, 354, 688], \"label\": \"chicory seed\"},\n {\"box_2d\": [332, 460, 359, 502], \"label\": \"chicory seed\"},\n {\"box_2d\": [340, 426, 376, 463], \"label\": \"chicory seed\"},\n {\"box_2d\": [353, 464, 392, 499], \"label\": \"chicory seed\"},\n {\"box_2d\": [336, 510, 379, 536], \"label\": \"chicory seed\"},\n {\"box_2d\": [347, 535, 370, 578], \"label\": \"chicory seed\"},\n {\"box_2d\": [335, 577, 364, 619], \"label\": \"chicory seed\"},\n {\"box_2d\": [357, 589, 382, 632], \"label\": \"chicory seed\"},\n {\"box_2d\": [354, 636, 378, 677], \"label\": \"chicory seed\"},\n {\"box_2d\": [376, 595, 409, 634], \"label\": \"chicory seed\"},\n {\"box_2d\": [379, 644, 404, 687], \"label\": \"chicory seed\"},\n {\"box_2d\": [377, 491, 421, 518], \"label\": \"chicory seed\"},\n {\"box_2d\": [381, 508, 422, 538], \"label\": \"chicory seed\"},\n {\"box_2d\": [303, 747, 344, 773], \"label\": \"chicory seed\"},\n {\"box_2d\": [318, 733, 360, 761], \"label\": \"chicory seed\"},\n {\"box_2d\": [333, 710, 371, 743], \"label\": \"chicory seed\"},\n {\"box_2d\": [341, 691, 378, 726], \"label\": \"chicory seed\"},\n {\"box_2d\": [327, 768, 351, 813], \"label\": \"chicory seed\"},\n {\"box_2d\": [346, 761, 371, 807], \"label\": \"chicory seed\"},\n {\"box_2d\": [365, 717, 404, 750], \"label\": \"chicory seed\"},\n {\"box_2d\": [366, 751, 389, 795], \"label\": \"chicory seed\"},\n {\"box_2d\": [385, 688, 431, 712], \"label\": \"chicory seed\"},\n {\"box_2d\": [396, 709, 434, 732], \"label\": \"chicory seed\"},\n {\"box_2d\": [403, 731, 426, 773], \"label\": \"chicory seed\"},\n {\"box_2d\": [406, 777, 430, 822], \"label\": \"chicory seed\"},\n {\"box_2d\": [360, 815, 400, 846], \"label\": \"chicory seed\"},\n {\"box_2d\": [380, 827, 417, 861], \"label\": \"chicory seed\"},\n {\"box_2d\": [424, 729, 448, 769], \"label\": \"chicory seed\"},\n {\"box_2d\": [430, 689, 452, 731], \"label\": \"chicory seed\"},\n {\"box_2d\": [413, 638, 439, 684], \"label\": \"chicory seed\"},\n {\"box_2d\": [411, 532, 435, 576], \"label\": \"chicory seed\"},\n {\"box_2d\": [412, 574, 445, 613], \"label\": \"chicory seed\"},\n {\"box_2d\": [412, 432, 454, 460], \"label\": \"chicory seed\"},\n {\"box_2d\": [418, 394, 444, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [426, 469, 450, 511], \"label\": \"chicory seed\"},\n {\"box_2d\": [432, 621, 469, 659], \"label\": \"chicory seed\"},\n {\"box_2d\": [439, 641, 474, 674], \"label\": \"chicory seed\"},\n {\"box_2d\": [438, 545, 469, 586], \"label\": \"chicory seed\"},\n {\"box_2d\": [452, 531, 482, 573], \"label\": \"chicory seed\"},\n {\"box_2d\": [450, 498, 483, 536], \"label\": \"chicory seed\"},\n {\"box_2d\": [465, 466, 496, 504], \"label\": \"chicory seed\"},\n {\"box_2d\": [438, 358, 467, 401], \"label\": \"chicory seed\"},\n {\"box_2d\": [445, 319, 487, 356], \"label\": \"chicory seed\"},\n {\"box_2d\": [450, 377, 477, 424], \"label\": \"chicory seed\"},\n {\"box_2d\": [458, 294, 501, 320], \"label\": \"chicory seed\"},\n {\"box_2d\": [451, 227, 492, 256], \"label\": \"chicory seed\"},\n {\"box_2d\": [455, 250, 494, 283], \"label\": \"chicory seed\"},\n {\"box_2d\": [466, 193, 497, 233], \"label\": \"chicory seed\"},\n {\"box_2d\": [485, 180, 527, 206], \"label\": \"chicory seed\"},\n {\"box_2d\": [495, 149, 533, 174], \"label\": \"chicory seed\"},\n {\"box_2d\": [493, 206, 525, 251], \"label\": \"chicory seed\"},\n {\"box_2d\": [484, 278, 527, 309], \"label\": \"chicory seed\"},\n {\"box_2d\": [488, 314, 509, 356], \"label\": \"chicory seed\"},\n {\"box_2d\": [468, 367, 509, 398], \"label\": \"chicory seed\"},\n {\"box_2d\": [475, 407, 516, 433], \"label\": \"chicory seed\"},\n {\"box_2d\": [459, 423, 502, 450], \"label\": \"chicory seed\"},\n {\"box_2d\": [512, 297, 550, 336], \"label\": \"chicory seed\"},\n {\"box_2d\": [506, 336, 547, 361], \"label\": \"chicory seed\"},\n {\"box_2d\": [507, 360, 537, 402], \"label\": \"chicory seed\"},\n {\"box_2d\": [517, 386, 544, 430], \"label\": \"chicory seed\"},\n {\"box_2d\": [514, 223, 552, 256], \"label\": \"chicory seed\"},\n {\"box_2d\": [530, 236, 572, 269], \"label\": \"chicory seed\"},\n {\"box_2d\": [533, 208, 577, 239], \"label\": \"chicory seed\"},\n {\"box_2d\": [545, 151, 581, 190], \"label\": \"chicory seed\"},\n {\"box_2d\": [551, 174, 587, 212], \"label\": \"chicory seed\"},\n {\"box_2d\": [537, 358, 581, 384], \"label\": \"chicory seed\"},\n {\"box_2d\": [537, 386, 573, 429], \"label\": \"chicory seed\"},\n {\"box_2d\": [549, 335, 594, 365], \"label\": \"chicory seed\"},\n {\"box_2d\": [561, 278, 584, 322], \"label\": \"chicory seed\"},\n {\"box_2d\": [571, 232, 606, 274], \"label\": \"chicory seed\"},\n {\"box_2d\": [584, 221, 619, 259], \"label\": \"chicory seed\"},\n {\"box_2d\": [581, 294, 621, 323], \"label\": \"chicory seed\"},\n {\"box_2d\": [573, 362, 606, 402], \"label\": \"chicory seed\"},\n {\"box_2d\": [564, 399, 606, 429], \"label\": \"chicory seed\"},\n {\"box_2d\": [586, 410, 620, 449], \"label\": \"chicory seed\"},\n {\"box_2d\": [586, 468, 619, 507], \"label\": \"chicory seed\"},\n {\"box_2d\": [593, 322, 619, 367], \"label\": \"chicory seed\"},\n {\"box_2d\": [607, 342, 632, 390], \"label\": \"chicory seed\"},\n {\"box_2d\": [606, 192, 630, 233], \"label\": \"chicory seed\"},\n {\"box_2d\": [615, 166, 657, 193], \"label\": \"chicory seed\"},\n {\"box_2d\": [617, 217, 646, 260], \"label\": \"chicory seed\"},\n {\"box_2d\": [614, 286, 649, 315], \"label\": \"chicory seed\"},\n {\"box_2d\": [624, 312, 667, 337], \"label\": \"chicory seed\"},\n {\"box_2d\": [630, 336, 673, 367], \"label\": \"chicory seed\"},\n {\"box_2d\": [629, 364, 670, 388], \"label\": \"chicory seed\"},\n {\"box_2d\": [638, 184, 673, 224], \"label\": \"chicory seed\"},\n {\"box_2d\": [638, 230, 670, 270], \"label\": \"chicory seed\"},\n {\"box_2d\": [643, 384, 683, 410], \"label\": \"chicory seed\"},\n {\"box_2d\": [427, 804, 451, 850], \"label\": \"chicory seed\"},\n {\"box_2d\": [429, 783, 469, 811], \"label\": \"chicory seed\"},\n {\"box_2d\": [439, 764, 483, 787], \"label\": \"chicory seed\"},\n {\"box_2d\": [447, 811, 470, 855], \"label\": \"chicory seed\"},\n {\"box_2d\": [444, 671, 487, 694], \"label\": \"chicory seed\"},\n {\"box_2d\": [457, 690, 497, 716], \"label\": \"chicory seed\"},\n {\"box_2d\": [460, 720, 498, 750], \"label\": \"chicory seed\"},\n {\"box_2d\": [467, 782, 509, 806], \"label\": \"chicory seed\"},\n {\"box_2d\": [468, 803, 502, 839], \"label\": \"chicory seed\"},\n {\"box_2d\": [466, 834, 499, 864], \"label\": \"chicory seed\"},\n {\"box_2d\": [469, 632, 498, 677], \"label\": \"chicory seed\"},\n {\"box_2d\": [460, 598, 493, 636], \"label\": \"chicory seed\"},\n {\"box_2d\": [471, 565, 501, 608], \"label\": \"chicory seed\"},\n {\"box_2d\": [479, 523, 503, 567], \"label\": \"chicory seed\"},\n {\"box_2d\": [489, 588, 513, 632], \"label\": \"chicory seed\"},\n {\"box_2d\": [502, 607, 529, 653], \"label\": \"chicory seed\"},\n {\"box_2d\": [498, 672, 540, 700], \"label\": \"chicory seed\"},\n {\"box_2d\": [514, 659, 553, 684], \"label\": \"chicory seed\"},\n {\"box_2d\": [490, 708, 522, 746], \"label\": \"chicory seed\"},\n {\"box_2d\": [482, 746, 505, 787], \"label\": \"chicory seed\"},\n {\"box_2d\": [498, 746, 521, 791], \"label\": \"chicory seed\"},\n {\"box_2d\": [489, 814, 526, 848], \"label\": \"chicory seed\"},\n {\"box_2d\": [500, 834, 523, 881], \"label\": \"chicory seed\"},\n {\"box_2d\": [504, 792, 546, 816], \"label\": \"chicory seed\"},\n {\"box_2d\": [511, 704, 546, 740], \"label\": \"chicory seed\"},\n {\"box_2d\": [520, 736, 547, 779], \"label\": \"chicory seed\"},\n {\"box_2d\": [521, 772, 563, 795], \"label\": \"chicory seed\"},\n {\"box_2d\": [526, 808, 567, 833], \"label\": \"chicory seed\"},\n {\"box_2d\": [525, 832, 560, 871], \"label\": \"chicory seed\"},\n {\"box_2d\": [528, 590, 551, 633], \"label\": \"chicory seed\"},\n {\"box_2d\": [538, 514, 568, 558], \"label\": \"chicory seed\"},\n {\"box_2d\": [558, 540, 593, 574], \"label\": \"chicory seed\"},\n {\"box_2d\": [549, 587, 586, 624], \"label\": \"chicory seed\"},\n {\"box_2d\": [550, 612, 580, 653], \"label\": \"chicory seed\"},\n {\"box_2d\": [547, 652, 586, 678], \"label\": \"chicory seed\"},\n {\"box_2d\": [553, 724, 594, 758], \"label\": \"chicory seed\"},\n {\"box_2d\": [550, 753, 591, 776], \"label\": \"chicory seed\"},\n {\"box_2d\": [556, 775, 587, 816], \"label\": \"chicory seed\"},\n {\"box_2d\": [556, 802, 587, 847], \"label\": \"chicory seed\"},\n {\"box_2d\": [580, 823, 603, 869], \"label\": \"chicory seed\"},\n {\"box_2d\": [588, 783, 614, 824], \"label\": \"chicory seed\"},\n {\"box_2d\": [596, 725, 623, 770], \"label\": \"chicory seed\"},\n {\"box_2d\": [572, 572, 601, 611], \"label\": \"chicory seed\"},\n {\"box_2d\": [578, 619, 614, 650], \"label\": \"chicory seed\"},\n {\"box_2d\": [587, 649, 613, 694], \"label\": \"chicory seed\"},\n {\"box_2d\": [591, 688, 625, 726], \"label\": \"chicory seed\"},\n {\"box_2d\": [595, 553, 620, 599], \"label\": \"chicory seed\"},\n {\"box_2d\": [591, 594, 632, 626], \"label\": \"chicory seed\"},\n {\"box_2d\": [615, 553, 641, 597], \"label\": \"chicory seed\"},\n {\"box_2d\": [619, 600, 649, 642], \"label\": \"chicory seed\"},\n {\"box_2d\": [610, 636, 653, 663], \"label\": \"chicory seed\"},\n {\"box_2d\": [613, 668, 657, 693], \"label\": \"chicory seed\"},\n {\"box_2d\": [617, 804, 651, 841], \"label\": \"chicory seed\"},\n {\"box_2d\": [634, 522, 662, 566], \"label\": \"chicory seed\"},\n {\"box_2d\": [638, 572, 664, 613], \"label\": \"chicory seed\"},\n {\"box_2d\": [639, 608, 669, 648], \"label\": \"chicory seed\"},\n {\"box_2d\": [659, 516, 689, 557], \"label\": \"chicory seed\"},\n {\"box_2d\": [660, 556, 693, 592], \"label\": \"chicory seed\"},\n {\"box_2d\": [665, 585, 707, 615], \"label\": \"chicory seed\"},\n {\"box_2d\": [657, 640, 685, 681], \"label\": \"chicory seed\"},\n {\"box_2d\": [667, 614, 690, 659], \"label\": \"chicory seed\"},\n {\"box_2d\": [642, 682, 684, 713], \"label\": \"chicory seed\"},\n {\"box_2d\": [642, 726, 684, 753], \"label\": \"chicory seed\"},\n {\"box_2d\": [655, 769, 680, 813], \"label\": \"chicory seed\"},\n {\"box_2d\": [661, 749, 701, 774], \"label\": \"chicory seed\"},\n {\"box_2d\": [669, 684, 703, 723], \"label\": \"chicory seed\"},\n {\"box_2d\": [683, 647, 717, 687], \"label\": \"chicory seed\"},\n {\"box_2d\": [688, 593, 719, 637], \"label\": \"chicory seed\"},\n {\"box_2d\": [693, 567, 729, 596], \"label\": \"chicory seed\"},\n {\"box_2d\": [693, 715, 729, 752], \"label\": \"chicory seed\"},\n {\"box_2d\": [699, 743, 722, 786], \"label\": \"chicory seed\"},\n {\"box_2d\": [711, 763, 735, 806], \"label\": \"chicory seed\"},\n {\"box_2d\": [720, 739, 759, 771], \"label\": \"chicory seed\"},\n {\"box_2d\": [646, 290, 689, 319], \"label\": \"chicory seed\"},\n {\"box_2d\": [656, 194, 688, 236], \"label\": \"chicory seed\"},\n {\"box_2d\": [668, 208, 698, 253], \"label\": \"chicory seed\"},\n {\"box_2d\": [660, 251, 703, 280], \"label\": \"chicory seed\"},\n {\"box_2d\": [666, 267, 705, 296], \"label\": \"chicory seed\"},\n {\"box_2d\": [660, 353, 695, 390], \"label\": \"chicory seed\"},\n {\"box_2d\": [676, 326, 705, 369], \"label\": \"chicory seed\"},\n {\"box_2d\": [675, 406, 698, 451], \"label\": \"chicory seed\"},\n {\"box_2d\": [672, 455, 695, 499], \"label\": \"chicory seed\"},\n {\"box_2d\": [683, 368, 719, 409], \"label\": \"chicory seed\"},\n {\"box_2d\": [693, 211, 717, 254], \"label\": \"chicory seed\"},\n {\"box_2d\": [688, 291, 727, 316], \"label\": \"chicory seed\"},\n {\"box_2d\": [694, 315, 735, 350], \"label\": \"chicory seed\"},\n {\"box_2d\": [698, 433, 736, 467], \"label\": \"chicory seed\"},\n {\"box_2d\": [694, 464, 726, 505], \"label\": \"chicory seed\"},\n {\"box_2d\": [710, 250, 732, 293], \"label\": \"chicory seed\"},\n {\"box_2d\": [711, 349, 744, 388], \"label\": \"chicory seed\"},\n {\"box_2d\": [712, 381, 736, 426], \"label\": \"chicory seed\"},\n {\"box_2d\": [714, 300, 757, 325], \"label\": \"chicory seed\"},\n {\"box_2d\": [725, 269, 761, 306], \"label\": \"chicory seed\"},\n {\"box_2d\": [732, 321, 765, 362], \"label\": \"chicory seed\"},\n {\"box_2d\": [734, 383, 759, 429], \"label\": \"chicory seed\"},\n {\"box_2d\": [742, 364, 773, 406], \"label\": \"chicory seed\"},\n {\"box_2d\": [737, 429, 763, 474], \"label\": \"chicory seed\"},\n {\"box_2d\": [732, 467, 771, 503], \"label\": \"chicory seed\"},\n {\"box_2d\": [708, 519, 752, 545], \"label\": \"chicory seed\"},\n {\"box_2d\": [721, 582, 746, 625], \"label\": \"chicory seed\"},\n {\"box_2d\": [718, 640, 743, 682], \"label\": \"chicory seed\"},\n {\"box_2d\": [733, 636, 776, 663], \"label\": \"chicory seed\"},\n {\"box_2d\": [743, 660, 785, 685], \"label\": \"chicory seed\"},\n {\"box_2d\": [732, 554, 772, 587], \"label\": \"chicory seed\"},\n {\"box_2d\": [754, 563, 784, 606], \"label\": \"chicory seed\"},\n {\"box_2d\": [750, 489, 775, 532], \"label\": \"chicory seed\"},\n {\"box_2d\": [752, 523, 795, 552], \"label\": \"chicory seed\"},\n {\"box_2d\": [756, 287, 785, 329], \"label\": \"chicory seed\"},\n {\"box_2d\": [746, 341, 790, 365], \"label\": \"chicory seed\"},\n {\"box_2d\": [775, 299, 798, 344], \"label\": \"chicory seed\"},\n {\"box_2d\": [768, 365, 810, 395], \"label\": \"chicory seed\"},\n {\"box_2d\": [758, 411, 798, 439], \"label\": \"chicory seed\"},\n {\"box_2d\": [775, 393, 811, 433], \"label\": \"chicory seed\"},\n {\"box_2d\": [774, 440, 801, 484], \"label\": \"chicory seed\"},\n {\"box_2d\": [776, 479, 811, 511], \"label\": \"chicory seed\"},\n {\"box_2d\": [787, 330, 810, 376], \"label\": \"chicory seed\"},\n {\"box_2d\": [806, 358, 835, 402], \"label\": \"chicory seed\"},\n {\"box_2d\": [802, 394, 837, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [793, 434, 819, 476], \"label\": \"chicory seed\"},\n {\"box_2d\": [810, 432, 848, 456], \"label\": \"chicory seed\"},\n {\"box_2d\": [800, 480, 836, 513], \"label\": \"chicory seed\"},\n {\"box_2d\": [824, 454, 853, 495], \"label\": \"chicory seed\"},\n {\"box_2d\": [782, 530, 816, 569], \"label\": \"chicory seed\"},\n {\"box_2d\": [773, 594, 809, 634], \"label\": \"chicory seed\"},\n {\"box_2d\": [791, 577, 816, 622], \"label\": \"chicory seed\"},\n {\"box_2d\": [791, 638, 829, 675], \"label\": \"chicory seed\"},\n {\"box_2d\": [766, 696, 805, 729], \"label\": \"chicory seed\"},\n {\"box_2d\": [806, 548, 846, 574], \"label\": \"chicory seed\"},\n {\"box_2d\": [815, 530, 853, 555], \"label\": \"chicory seed\"},\n {\"box_2d\": [811, 594, 837, 638], \"label\": \"chicory seed\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 18489, "elapsed_seconds": 109.89638012496289, "metadata": {"match_method": "map", "num_predictions": 303, "num_ground_truth": 303, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3366336524486542, "attempts": 1, "retries": 0, "total_seconds": 110.0316}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 166, "image": "9pro_tire_2024-10-17_2_png_jpg.rf.4f51ee46ba892a991a30327b934d13a9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [75, 198, 185, 398], \"label\": \"tire size text\"},\n {\"box_2d\": [806, 676, 875, 760], \"label\": \"tire size text\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 638, "elapsed_seconds": 12.41635745903477, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 12.6294}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 167, "image": "2024-12-05T02-00-56-789Z-1004_jpg.rf.16e81306ce0ce847c1fdd836e6752b92.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [243, 0, 658, 152], \"label\": \"velcro cable tie\"},\n {\"box_2d\": [628, 149, 674, 181], \"label\": \"screw\"},\n {\"box_2d\": [649, 524, 686, 563], \"label\": \"screw\"},\n {\"box_2d\": [429, 868, 502, 926], \"label\": \"screw\"}\n]\n```", "correct": false, "input_tokens": 1204, "output_tokens": 888, "elapsed_seconds": 18.50346570799593, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6666666269302368, "attempts": 1, "retries": 0, "total_seconds": 18.7136}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 168, "image": "45_png.rf.5c5cd31ecf12f414c9d6c446b6599fc0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [54, 240, 88, 299], \"label\": \"not gate symbol\"},\n {\"box_2d\": [99, 424, 148, 525], \"label\": \"and gate symbol\"},\n {\"box_2d\": [87, 789, 137, 888], \"label\": \"or gate symbol\"},\n {\"box_2d\": [297, 552, 359, 631], \"label\": \"and gate symbol\"},\n {\"box_2d\": [297, 668, 358, 747], \"label\": \"and gate symbol\"},\n {\"box_2d\": [362, 789, 412, 886], \"label\": \"or gate symbol\"},\n {\"box_2d\": [583, 574, 645, 653], \"label\": \"and gate symbol\"},\n {\"box_2d\": [583, 690, 645, 769], \"label\": \"and gate symbol\"},\n {\"box_2d\": [649, 809, 699, 908], \"label\": \"or gate symbol\"},\n {\"box_2d\": [871, 591, 933, 670], \"label\": \"and gate symbol\"},\n {\"box_2d\": [871, 706, 932, 785], \"label\": \"and gate symbol\"},\n {\"box_2d\": [940, 809, 990, 908], \"label\": \"or gate symbol\"}\n]\n```", "correct": true, "input_tokens": 1264, "output_tokens": 1301, "elapsed_seconds": 10.720957207959145, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 10.7242}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 169, "image": "paper-parts_112786_53_jpg.rf.0483acf3782b23a87f49280c7a03b327.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [89, 176, 333, 667], \"label\": \"figure\"},\n {\"box_2d\": [371, 176, 424, 883], \"label\": \"figure caption\"},\n {\"box_2d\": [477, 176, 493, 207], \"label\": \"paragraph\"},\n {\"box_2d\": [523, 274, 540, 752], \"label\": \"equation\"},\n {\"box_2d\": [559, 274, 577, 711], \"label\": \"equation\"},\n {\"box_2d\": [596, 274, 614, 784], \"label\": \"equation\"},\n {\"box_2d\": [633, 274, 650, 734], \"label\": \"equation\"},\n {\"box_2d\": [669, 274, 687, 735], \"label\": \"equation\"},\n {\"box_2d\": [707, 274, 723, 529], \"label\": \"equation\"},\n {\"box_2d\": [756, 176, 869, 882], \"label\": \"paragraph\"},\n {\"box_2d\": [897, 519, 912, 539], \"label\": \"page number\"}\n]\n```", "correct": false, "input_tokens": 1248, "output_tokens": 1427, "elapsed_seconds": 14.449742625001818, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6003299951553345, "attempts": 1, "retries": 0, "total_seconds": 14.4817}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 170, "image": "signatures_image_21_png_jpg.rf.af64d00b20a92b8a4d92e9aefc5cd1f8.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [69, 217, 179, 405], \"label\": \"signature\"},\n {\"box_2d\": [300, 678, 389, 868], \"label\": \"signature\"},\n {\"box_2d\": [647, 511, 767, 736], \"label\": \"signature\"},\n {\"box_2d\": [832, 417, 945, 645], \"label\": \"signature\"},\n {\"box_2d\": [828, 650, 932, 852], \"label\": \"signature\"}\n]\n```", "correct": true, "input_tokens": 1252, "output_tokens": 1198, "elapsed_seconds": 12.930240167072043, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.800000011920929, "attempts": 1, "retries": 0, "total_seconds": 13.0289}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 171, "image": "1668146885__jpg.rf.3d8577f11d5831de64da2c2964b98050.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [142, 141, 193, 171], \"label\": \"two die\"},\n {\"box_2d\": [50, 204, 100, 234], \"label\": \"four die\"},\n {\"box_2d\": [172, 224, 229, 256], \"label\": \"two die\"},\n {\"box_2d\": [23, 353, 86, 386], \"label\": \"four die\"},\n {\"box_2d\": [392, 137, 452, 171], \"label\": \"three die\"},\n {\"box_2d\": [326, 212, 386, 245], \"label\": \"six die\"},\n {\"box_2d\": [378, 200, 436, 234], \"label\": \"six die\"},\n {\"box_2d\": [442, 215, 497, 247], \"label\": \"one die\"},\n {\"box_2d\": [515, 217, 574, 250], \"label\": \"three die\"},\n {\"box_2d\": [519, 272, 577, 305], \"label\": \"two die\"},\n {\"box_2d\": [380, 275, 440, 308], \"label\": \"four die\"},\n {\"box_2d\": [345, 317, 400, 349], \"label\": \"five die\"},\n {\"box_2d\": [625, 165, 677, 194], \"label\": \"two die\"},\n {\"box_2d\": [692, 224, 749, 257], \"label\": \"three die\"},\n {\"box_2d\": [728, 258, 785, 291], \"label\": \"four die\"},\n {\"box_2d\": [508, 467, 565, 500], \"label\": \"four die\"},\n {\"box_2d\": [596, 448, 645, 476], \"label\": \"two die\"},\n {\"box_2d\": [573, 495, 631, 528], \"label\": \"six die\"},\n {\"box_2d\": [622, 510, 680, 543], \"label\": \"four die\"},\n {\"box_2d\": [508, 537, 565, 571], \"label\": \"five die\"},\n {\"box_2d\": [558, 532, 610, 561], \"label\": \"two die\"},\n {\"box_2d\": [542, 559, 599, 591], \"label\": \"five die\"},\n {\"box_2d\": [614, 554, 671, 585], \"label\": \"two die\"},\n {\"box_2d\": [694, 583, 748, 614], \"label\": \"six die\"},\n {\"box_2d\": [448, 588, 496, 616], \"label\": \"three die\"},\n {\"box_2d\": [346, 545, 403, 577], \"label\": \"five die\"},\n {\"box_2d\": [304, 563, 353, 591], \"label\": \"six die\"},\n {\"box_2d\": [309, 596, 359, 624], \"label\": \"one die\"},\n {\"box_2d\": [193, 634, 255, 668], \"label\": \"six die\"},\n {\"box_2d\": [258, 632, 315, 665], \"label\": \"four die\"},\n {\"box_2d\": [290, 683, 349, 716], \"label\": \"two die\"},\n {\"box_2d\": [129, 710, 187, 744], \"label\": \"six die\"},\n {\"box_2d\": [105, 750, 163, 782], \"label\": \"three die\"},\n {\"box_2d\": [58, 790, 116, 822], \"label\": \"two die\"},\n {\"box_2d\": [375, 687, 434, 720], \"label\": \"three die\"},\n {\"box_2d\": [420, 660, 478, 693], \"label\": \"six die\"},\n {\"box_2d\": [474, 683, 532, 717], \"label\": \"three die\"},\n {\"box_2d\": [484, 715, 542, 748], \"label\": \"two die\"},\n {\"box_2d\": [653, 710, 711, 744], \"label\": \"two die\"},\n {\"box_2d\": [296, 788, 355, 822], \"label\": \"three die\"},\n {\"box_2d\": [343, 778, 401, 812], \"label\": \"four die\"},\n {\"box_2d\": [209, 883, 265, 917], \"label\": \"five die\"},\n {\"box_2d\": [302, 916, 362, 951], \"label\": \"three die\"},\n {\"box_2d\": [539, 804, 586, 833], \"label\": \"six die\"},\n {\"box_2d\": [611, 789, 658, 818], \"label\": \"six die\"},\n {\"box_2d\": [579, 828, 626, 856], \"label\": \"five die\"},\n {\"box_2d\": [678, 856, 729, 886], \"label\": \"six die\"}\n]\n```", "correct": true, "input_tokens": 1252, "output_tokens": 5070, "elapsed_seconds": 42.240581874968484, "metadata": {"match_method": "map", "num_predictions": 47, "num_ground_truth": 48, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9037028551101685, "attempts": 1, "retries": 0, "total_seconds": 42.2849}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 172, "image": "IMG_20220316_171754_jpg.rf.02842914dec30f998cea03868026b96a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [87, 192, 405, 487], \"label\": \"eight of clubs\"},\n {\"box_2d\": [285, 275, 646, 541], \"label\": \"seven of clubs\"},\n {\"box_2d\": [292, 421, 675, 738], \"label\": \"five of clubs\"},\n {\"box_2d\": [459, 518, 938, 922], \"label\": \"six of clubs\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 689, "elapsed_seconds": 9.683894374989904, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 9.71}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 173, "image": "39_jpg.rf.edb5339d00a37b75d6cf16c1f9a301ff.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [172, 165, 216, 206], \"label\": \"resistor symbol\"},\n {\"box_2d\": [349, 270, 451, 287], \"label\": \"resistor symbol\"},\n {\"box_2d\": [149, 353, 200, 405], \"label\": \"resistor symbol\"},\n {\"box_2d\": [773, 330, 838, 401], \"label\": \"resistor symbol\"},\n {\"box_2d\": [352, 480, 449, 498], \"label\": \"resistor symbol\"},\n {\"box_2d\": [317, 673, 421, 691], \"label\": \"resistor symbol\"},\n {\"box_2d\": [156, 767, 195, 811], \"label\": \"resistor symbol\"},\n {\"box_2d\": [434, 855, 544, 874], \"label\": \"resistor symbol\"},\n {\"box_2d\": [461, 60, 636, 125], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [118, 553, 211, 621], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [798, 272, 898, 299], \"label\": \"ground symbol\"}\n]\n```", "correct": true, "input_tokens": 1216, "output_tokens": 1929, "elapsed_seconds": 18.086378125008196, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 10, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 18.1587}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 174, "image": "99FB9DDE-58F9-4BBA-8CC2-48146BC0EBC5_jpg.rf.1cef29e3b05e7507a4b618bd8b857503.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [191, 249, 252, 310], \"label\": \"pill\"},\n {\"box_2d\": [182, 443, 244, 504], \"label\": \"pill\"},\n {\"box_2d\": [293, 200, 353, 265], \"label\": \"pill\"},\n {\"box_2d\": [270, 326, 330, 388], \"label\": \"pill\"},\n {\"box_2d\": [279, 450, 339, 510], \"label\": \"pill\"},\n {\"box_2d\": [353, 180, 413, 243], \"label\": \"pill\"},\n {\"box_2d\": [335, 283, 395, 345], \"label\": \"pill\"},\n {\"box_2d\": [320, 408, 379, 469], \"label\": \"pill\"},\n {\"box_2d\": [334, 469, 394, 529], \"label\": \"pill\"},\n {\"box_2d\": [416, 134, 476, 198], \"label\": \"pill\"},\n {\"box_2d\": [418, 244, 479, 306], \"label\": \"pill\"},\n {\"box_2d\": [385, 310, 445, 371], \"label\": \"pill\"},\n {\"box_2d\": [377, 390, 437, 451], \"label\": \"pill\"},\n {\"box_2d\": [399, 476, 459, 537], \"label\": \"pill\"},\n {\"box_2d\": [387, 544, 447, 606], \"label\": \"pill\"},\n {\"box_2d\": [404, 667, 465, 731], \"label\": \"pill\"},\n {\"box_2d\": [429, 611, 490, 675], \"label\": \"pill\"},\n {\"box_2d\": [450, 531, 510, 593], \"label\": \"pill\"},\n {\"box_2d\": [446, 439, 507, 500], \"label\": \"pill\"},\n {\"box_2d\": [444, 358, 505, 420], \"label\": \"pill\"},\n {\"box_2d\": [472, 303, 533, 365], \"label\": \"pill\"},\n {\"box_2d\": [514, 343, 575, 406], \"label\": \"pill\"},\n {\"box_2d\": [504, 413, 565, 475], \"label\": \"pill\"},\n {\"box_2d\": [489, 484, 549, 546], \"label\": \"pill\"},\n {\"box_2d\": [507, 559, 568, 622], \"label\": \"pill\"},\n {\"box_2d\": [552, 465, 613, 528], \"label\": \"pill\"},\n {\"box_2d\": [563, 530, 624, 593], \"label\": \"pill\"},\n {\"box_2d\": [620, 198, 683, 263], \"label\": \"pill\"},\n {\"box_2d\": [601, 281, 665, 345], \"label\": \"pill\"},\n {\"box_2d\": [592, 364, 654, 427], \"label\": \"pill\"},\n {\"box_2d\": [612, 449, 675, 512], \"label\": \"pill\"},\n {\"box_2d\": [635, 538, 699, 601], \"label\": \"pill\"},\n {\"box_2d\": [685, 762, 751, 829], \"label\": \"pill\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 3043, "elapsed_seconds": 29.004080582992174, "metadata": {"match_method": "map", "num_predictions": 33, "num_ground_truth": 33, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 29.3342}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 175, "image": "8a_tire_2024-10-17_62_png_jpg.rf.da90fbf7f0527f341a28f165c3e83dac.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [143, 346, 189, 437], \"label\": \"tire size text\"},\n {\"box_2d\": [461, 57, 658, 95], \"label\": \"tire size text\"},\n {\"box_2d\": [457, 913, 648, 949], \"label\": \"tire size text\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 798, "elapsed_seconds": 13.266800374956802, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 13.6257}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 176, "image": "frame_0002_03_jpg.rf.dda0be95dbf94773efee5983feb50582.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [464, 330, 523, 359], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [474, 399, 535, 429], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [483, 474, 543, 504], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [489, 546, 549, 577], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [592, 327, 650, 357], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [604, 398, 667, 428], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [609, 470, 673, 501], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [617, 543, 677, 576], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [719, 320, 777, 351], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [735, 389, 796, 420], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [743, 461, 804, 493], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [750, 535, 811, 567], \"label\": \"soda bottle cap\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 1309, "elapsed_seconds": 29.64626887498889, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 30.0588}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 177, "image": "f77_jpg.rf.82279850cbac861dc93376eb2c7be55d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 58, 445, 245], \"label\": \"wildfire\"},\n {\"box_2d\": [0, 746, 720, 1000], \"label\": \"wildfire\"},\n {\"box_2d\": [153, 296, 196, 315], \"label\": \"wildfire\"},\n {\"box_2d\": [485, 642, 523, 661], \"label\": \"wildfire\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 1770, "elapsed_seconds": 26.092503749998286, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.20297029614448547, "attempts": 1, "retries": 0, "total_seconds": 26.185}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 178, "image": "1219_48_jpg.rf.d6aecd0b221112666e45beae667e3572.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 8, 126, 130], \"label\": \"white king\"},\n {\"box_2d\": [4, 385, 127, 474], \"label\": \"white queen\"},\n {\"box_2d\": [15, 891, 118, 996], \"label\": \"white bishop\"},\n {\"box_2d\": [143, 385, 237, 477], \"label\": \"white bishop\"},\n {\"box_2d\": [280, 646, 353, 722], \"label\": \"white pawn\"},\n {\"box_2d\": [396, 275, 487, 368], \"label\": \"black king\"},\n {\"box_2d\": [398, 517, 480, 602], \"label\": \"white rook\"},\n {\"box_2d\": [396, 767, 482, 879], \"label\": \"black queen\"},\n {\"box_2d\": [497, 770, 577, 864], \"label\": \"black rook\"},\n {\"box_2d\": [514, 270, 597, 357], \"label\": \"white knight\"},\n {\"box_2d\": [521, 636, 602, 735], \"label\": \"black knight\"},\n {\"box_2d\": [533, 144, 614, 235], \"label\": \"black rook\"},\n {\"box_2d\": [636, 7, 718, 117], \"label\": \"black knight\"},\n {\"box_2d\": [647, 526, 731, 622], \"label\": \"white knight\"},\n {\"box_2d\": [666, 750, 740, 829], \"label\": \"black pawn\"},\n {\"box_2d\": [747, 253, 839, 345], \"label\": \"black bishop\"},\n {\"box_2d\": [866, 276, 985, 369], \"label\": \"black queen\"}\n]\n```", "correct": true, "input_tokens": 1259, "output_tokens": 2070, "elapsed_seconds": 22.612807624973357, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 17, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 22.8007}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 179, "image": "f27_jpg.rf.b153b2c59a95b68f3f9edb924d42cee4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [50, 240, 416, 395], \"label\": \"wildfire\"},\n {\"box_2d\": [603, 177, 942, 394], \"label\": \"wildfire\"},\n {\"box_2d\": [207, 599, 444, 723], \"label\": \"wildfire\"},\n {\"box_2d\": [640, 674, 744, 736], \"label\": \"wildfire\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 1595, "elapsed_seconds": 24.60134845797438, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 24.6913}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 180, "image": "img_461922717831528641_png.rf.c1eccbe6f38478b43fbba2e4cba33ac0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [58, 179, 171, 323], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [152, 169, 270, 320], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [253, 157, 376, 314], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [360, 143, 486, 307], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [475, 129, 602, 299], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [597, 112, 725, 290], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [725, 89, 865, 279], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [860, 76, 1000, 267], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [28, 319, 134, 452], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [120, 310, 232, 453], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [217, 305, 333, 452], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [320, 296, 442, 449], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [432, 290, 556, 446], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [551, 281, 675, 442], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [674, 270, 804, 438], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [803, 256, 956, 434], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [68, 443, 178, 583], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [164, 439, 277, 583], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [264, 440, 381, 587], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [368, 434, 488, 589], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [479, 430, 602, 590], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [599, 429, 723, 593], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [723, 423, 858, 595], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [855, 421, 1000, 596], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [36, 575, 144, 710], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [129, 572, 240, 716], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [223, 574, 340, 720], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [326, 574, 447, 726], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [434, 573, 556, 732], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [549, 570, 673, 742], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [672, 573, 801, 751], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [801, 576, 953, 761], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [79, 697, 189, 839], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [169, 696, 286, 848], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [269, 700, 389, 858], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [372, 704, 495, 869], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [484, 708, 605, 882], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [601, 717, 724, 902], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [723, 725, 859, 916], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [850, 742, 1000, 936], \"label\": \"empty portable gas cylinder\"}\n]\n```", "correct": false, "input_tokens": 1208, "output_tokens": 3112, "elapsed_seconds": 29.72140383394435, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 40, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.4101485311985016, "attempts": 1, "retries": 0, "total_seconds": 29.8001}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 181, "image": "20230113_134921_jpg.rf.98498c853848c0b93af6274d6758c4d5.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [520, 803, 539, 881], \"label\": \"crack\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 207, "elapsed_seconds": 4.678749625105411, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 4.6919}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 182, "image": "IMG_0618_jpeg.rf.efa7b9f1261718cff400e2cf104b3017.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [375, 240, 441, 307], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [498, 205, 588, 255], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [612, 244, 682, 327], \"label\": \"peach jelly bean\"},\n {\"box_2d\": [616, 403, 712, 474], \"label\": \"peach jelly bean\"},\n {\"box_2d\": [486, 346, 574, 408], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [358, 396, 430, 458], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [276, 461, 335, 526], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [607, 627, 712, 682], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [435, 521, 516, 584], \"label\": \"caramel corn jelly bean\"},\n {\"box_2d\": [344, 578, 418, 624], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [452, 694, 522, 772], \"label\": \"mixed berry smoothie jelly bean\"}\n]\n```", "correct": true, "input_tokens": 1230, "output_tokens": 1539, "elapsed_seconds": 22.196137917111628, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 2, "retries": 1, "total_seconds": 85.0736, "transient_errors": ["RemoteProtocolError"]}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 183, "image": "1668146875__jpg.rf.3051c36c0a756d3687be5c2fb0ad5141.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [573, 169, 622, 198], \"label\": \"four die\"},\n {\"box_2d\": [438, 217, 494, 250], \"label\": \"three die\"},\n {\"box_2d\": [229, 272, 289, 304], \"label\": \"six die\"},\n {\"box_2d\": [216, 296, 275, 329], \"label\": \"six die\"},\n {\"box_2d\": [269, 301, 326, 334], \"label\": \"six die\"},\n {\"box_2d\": [340, 301, 389, 328], \"label\": \"five die\"},\n {\"box_2d\": [302, 324, 355, 352], \"label\": \"four die\"},\n {\"box_2d\": [386, 311, 439, 340], \"label\": \"five die\"},\n {\"box_2d\": [348, 337, 398, 364], \"label\": \"five die\"},\n {\"box_2d\": [410, 340, 467, 372], \"label\": \"three die\"},\n {\"box_2d\": [297, 348, 349, 376], \"label\": \"six die\"},\n {\"box_2d\": [290, 372, 342, 401], \"label\": \"three die\"},\n {\"box_2d\": [338, 366, 390, 395], \"label\": \"four die\"},\n {\"box_2d\": [278, 395, 333, 424], \"label\": \"two die\"},\n {\"box_2d\": [199, 347, 260, 381], \"label\": \"four die\"},\n {\"box_2d\": [99, 361, 161, 396], \"label\": \"six die\"},\n {\"box_2d\": [111, 404, 171, 437], \"label\": \"two die\"},\n {\"box_2d\": [182, 388, 240, 420], \"label\": \"two die\"},\n {\"box_2d\": [180, 433, 241, 467], \"label\": \"six die\"},\n {\"box_2d\": [290, 515, 351, 549], \"label\": \"six die\"},\n {\"box_2d\": [360, 540, 418, 573], \"label\": \"two die\"},\n {\"box_2d\": [411, 491, 465, 522], \"label\": \"five die\"},\n {\"box_2d\": [512, 388, 571, 421], \"label\": \"four die\"},\n {\"box_2d\": [587, 380, 643, 412], \"label\": \"two die\"},\n {\"box_2d\": [528, 449, 588, 483], \"label\": \"three die\"},\n {\"box_2d\": [767, 324, 818, 353], \"label\": \"six die\"},\n {\"box_2d\": [814, 314, 868, 343], \"label\": \"five die\"},\n {\"box_2d\": [847, 372, 900, 401], \"label\": \"six die\"},\n {\"box_2d\": [819, 425, 879, 459], \"label\": \"five die\"},\n {\"box_2d\": [754, 440, 804, 467], \"label\": \"five die\"},\n {\"box_2d\": [706, 441, 758, 471], \"label\": \"four die\"},\n {\"box_2d\": [649, 471, 705, 503], \"label\": \"six die\"},\n {\"box_2d\": [682, 494, 740, 527], \"label\": \"six die\"},\n {\"box_2d\": [640, 514, 696, 546], \"label\": \"two die\"},\n {\"box_2d\": [587, 530, 637, 557], \"label\": \"five die\"},\n {\"box_2d\": [33, 673, 93, 707], \"label\": \"four die\"},\n {\"box_2d\": [148, 780, 197, 809], \"label\": \"three die\"},\n {\"box_2d\": [199, 764, 250, 794], \"label\": \"one die\"},\n {\"box_2d\": [255, 714, 314, 748], \"label\": \"three die\"},\n {\"box_2d\": [339, 683, 396, 715], \"label\": \"two die\"},\n {\"box_2d\": [397, 648, 446, 675], \"label\": \"four die\"},\n {\"box_2d\": [363, 772, 413, 802], \"label\": \"three die\"},\n {\"box_2d\": [395, 747, 452, 782], \"label\": \"one die\"},\n {\"box_2d\": [449, 757, 497, 785], \"label\": \"four die\"},\n {\"box_2d\": [496, 757, 545, 786], \"label\": \"four die\"},\n {\"box_2d\": [438, 808, 491, 839], \"label\": \"six die\"},\n {\"box_2d\": [666, 793, 722, 826], \"label\": \"three die\"}\n]\n```", "correct": false, "input_tokens": 1252, "output_tokens": 3799, "elapsed_seconds": 29.94856029096991, "metadata": {"match_method": "map", "num_predictions": 47, "num_ground_truth": 48, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7272748351097107, "attempts": 1, "retries": 0, "total_seconds": 29.9862}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 184, "image": "C440AC87-A6AC-47BA-9CB8-2E8D0B276501_jpg.rf.8b0f079f1f23f56b5c9934be046152df.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [164, 249, 238, 326], \"label\": \"pill\"},\n {\"box_2d\": [162, 369, 236, 444], \"label\": \"pill\"},\n {\"box_2d\": [229, 166, 305, 245], \"label\": \"pill\"},\n {\"box_2d\": [243, 304, 319, 382], \"label\": \"pill\"},\n {\"box_2d\": [327, 123, 405, 206], \"label\": \"pill\"},\n {\"box_2d\": [305, 273, 383, 353], \"label\": \"pill\"},\n {\"box_2d\": [356, 320, 434, 399], \"label\": \"pill\"},\n {\"box_2d\": [353, 405, 431, 483], \"label\": \"pill\"},\n {\"box_2d\": [297, 456, 374, 533], \"label\": \"pill\"},\n {\"box_2d\": [290, 548, 364, 624], \"label\": \"pill\"},\n {\"box_2d\": [315, 615, 392, 693], \"label\": \"pill\"},\n {\"box_2d\": [306, 689, 382, 767], \"label\": \"pill\"},\n {\"box_2d\": [361, 544, 437, 622], \"label\": \"pill\"},\n {\"box_2d\": [374, 704, 452, 785], \"label\": \"pill\"},\n {\"box_2d\": [430, 647, 509, 730], \"label\": \"pill\"},\n {\"box_2d\": [430, 522, 509, 601], \"label\": \"pill\"},\n {\"box_2d\": [438, 434, 517, 513], \"label\": \"pill\"},\n {\"box_2d\": [413, 363, 492, 443], \"label\": \"pill\"},\n {\"box_2d\": [415, 277, 493, 357], \"label\": \"pill\"},\n {\"box_2d\": [465, 162, 547, 246], \"label\": \"pill\"},\n {\"box_2d\": [481, 239, 562, 321], \"label\": \"pill\"},\n {\"box_2d\": [474, 320, 555, 402], \"label\": \"pill\"},\n {\"box_2d\": [542, 282, 626, 366], \"label\": \"pill\"},\n {\"box_2d\": [573, 354, 657, 438], \"label\": \"pill\"},\n {\"box_2d\": [601, 437, 687, 521], \"label\": \"pill\"},\n {\"box_2d\": [587, 520, 671, 604], \"label\": \"pill\"},\n {\"box_2d\": [508, 513, 589, 595], \"label\": \"pill\"},\n {\"box_2d\": [476, 583, 557, 664], \"label\": \"pill\"},\n {\"box_2d\": [581, 677, 665, 764], \"label\": \"pill\"},\n {\"box_2d\": [700, 160, 790, 248], \"label\": \"pill\"},\n {\"box_2d\": [689, 245, 779, 333], \"label\": \"pill\"},\n {\"box_2d\": [719, 319, 810, 408], \"label\": \"pill\"},\n {\"box_2d\": [780, 220, 873, 311], \"label\": \"pill\"},\n {\"box_2d\": [792, 58, 885, 153], \"label\": \"pill\"},\n {\"box_2d\": [722, 495, 812, 583], \"label\": \"pill\"},\n {\"box_2d\": [810, 478, 902, 568], \"label\": \"pill\"},\n {\"box_2d\": [772, 570, 864, 660], \"label\": \"pill\"},\n {\"box_2d\": [704, 619, 793, 708], \"label\": \"pill\"},\n {\"box_2d\": [698, 702, 787, 790], \"label\": \"pill\"},\n {\"box_2d\": [692, 783, 782, 872], \"label\": \"pill\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 3918, "elapsed_seconds": 45.93814733403269, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 40, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 46.3458}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 185, "image": "preannot3_62_png.rf.0c5f5d9500c1d4c579c64d746f68b358.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [22, 333, 33, 353], \"label\": \"tire spike normal\"},\n {\"box_2d\": [30, 643, 40, 661], \"label\": \"tire spike normal\"},\n {\"box_2d\": [70, 620, 83, 644], \"label\": \"tire spike normal\"},\n {\"box_2d\": [90, 298, 104, 319], \"label\": \"tire spike normal\"},\n {\"box_2d\": [107, 697, 121, 718], \"label\": \"tire spike normal\"},\n {\"box_2d\": [151, 237, 166, 260], \"label\": \"tire spike normal\"},\n {\"box_2d\": [182, 656, 196, 680], \"label\": \"tire spike normal\"},\n {\"box_2d\": [237, 304, 252, 330], \"label\": \"tire spike normal\"},\n {\"box_2d\": [253, 699, 269, 725], \"label\": \"tire spike normal\"},\n {\"box_2d\": [295, 243, 311, 268], \"label\": \"tire spike normal\"},\n {\"box_2d\": [321, 746, 337, 770], \"label\": \"tire spike absent\"},\n {\"box_2d\": [365, 204, 381, 226], \"label\": \"tire spike absent\"},\n {\"box_2d\": [396, 773, 412, 795], \"label\": \"tire spike normal\"},\n {\"box_2d\": [446, 223, 463, 246], \"label\": \"tire spike normal\"},\n {\"box_2d\": [507, 653, 524, 680], \"label\": \"tire spike normal\"},\n {\"box_2d\": [562, 326, 579, 353], \"label\": \"tire spike normal\"},\n {\"box_2d\": [572, 695, 591, 722], \"label\": \"tire spike normal\"},\n {\"box_2d\": [618, 270, 636, 294], \"label\": \"tire spike normal\"},\n {\"box_2d\": [677, 634, 695, 661], \"label\": \"tire spike normal\"},\n {\"box_2d\": [710, 315, 726, 342], \"label\": \"tire spike normal\"},\n {\"box_2d\": [709, 754, 726, 780], \"label\": \"tire spike normal\"},\n {\"box_2d\": [758, 245, 773, 269], \"label\": \"tire spike normal\"},\n {\"box_2d\": [801, 670, 817, 695], \"label\": \"tire spike normal\"},\n {\"box_2d\": [855, 720, 869, 744], \"label\": \"tire spike normal\"},\n {\"box_2d\": [899, 291, 913, 313], \"label\": \"tire spike normal\"},\n {\"box_2d\": [931, 639, 943, 661], \"label\": \"tire spike normal\"},\n {\"box_2d\": [940, 735, 952, 756], \"label\": \"tire spike normal\"}\n]\n```", "correct": false, "input_tokens": 1206, "output_tokens": 3169, "elapsed_seconds": 28.46275645797141, "metadata": {"match_method": "map", "num_predictions": 27, "num_ground_truth": 32, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6304950714111328, "attempts": 1, "retries": 0, "total_seconds": 28.5253}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 186, "image": "floorplan-windows-doors_10035_png.rf.4ea81a436186bba253c43df724f8ab26.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [7, 129, 36, 192], \"label\": \"window\"},\n {\"box_2d\": [7, 345, 37, 425], \"label\": \"window\"},\n {\"box_2d\": [7, 502, 37, 582], \"label\": \"window\"},\n {\"box_2d\": [7, 589, 37, 667], \"label\": \"window\"},\n {\"box_2d\": [7, 773, 37, 853], \"label\": \"window\"},\n {\"box_2d\": [217, 184, 304, 238], \"label\": \"door\"},\n {\"box_2d\": [290, 311, 350, 346], \"label\": \"door\"},\n {\"box_2d\": [265, 396, 340, 446], \"label\": \"door\"},\n {\"box_2d\": [383, 441, 453, 490], \"label\": \"door\"},\n {\"box_2d\": [458, 311, 519, 347], \"label\": \"door\"},\n {\"box_2d\": [468, 396, 542, 446], \"label\": \"door\"},\n {\"box_2d\": [216, 677, 286, 728], \"label\": \"door\"},\n {\"box_2d\": [394, 771, 464, 818], \"label\": \"door\"},\n {\"box_2d\": [540, 765, 616, 815], \"label\": \"door\"},\n {\"box_2d\": [560, 677, 631, 728], \"label\": \"door\"},\n {\"box_2d\": [592, 825, 659, 868], \"label\": \"door\"},\n {\"box_2d\": [318, 917, 417, 936], \"label\": \"window\"},\n {\"box_2d\": [616, 917, 694, 936], \"label\": \"door\"},\n {\"box_2d\": [751, 339, 781, 409], \"label\": \"window\"},\n {\"box_2d\": [753, 487, 886, 542], \"label\": \"door\"},\n {\"box_2d\": [751, 595, 781, 675], \"label\": \"window\"},\n {\"box_2d\": [751, 773, 781, 836], \"label\": \"window\"}\n]\n```", "correct": true, "input_tokens": 1245, "output_tokens": 2875, "elapsed_seconds": 25.316551583004184, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9573495984077454, "attempts": 1, "retries": 0, "total_seconds": 25.3493}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 187, "image": "IMG_6647_jpeg_jpg.rf.c9080c42346e2e5efd9c896163bdce7e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [478, 265, 594, 470], \"label\": \"white poker chip\"},\n {\"box_2d\": [549, 264, 610, 465], \"label\": \"white poker chip\"},\n {\"box_2d\": [563, 262, 628, 463], \"label\": \"white poker chip\"},\n {\"box_2d\": [574, 259, 653, 463], \"label\": \"white poker chip\"},\n {\"box_2d\": [221, 505, 281, 747], \"label\": \"white poker chip\"},\n {\"box_2d\": [259, 511, 307, 750], \"label\": \"white poker chip\"},\n {\"box_2d\": [279, 514, 333, 756], \"label\": \"white poker chip\"},\n {\"box_2d\": [304, 524, 359, 767], \"label\": \"white poker chip\"},\n {\"box_2d\": [314, 517, 381, 758], \"label\": \"white poker chip\"},\n {\"box_2d\": [340, 512, 404, 750], \"label\": \"white poker chip\"},\n {\"box_2d\": [364, 514, 427, 747], \"label\": \"white poker chip\"},\n {\"box_2d\": [377, 505, 447, 742], \"label\": \"white poker chip\"},\n {\"box_2d\": [381, 496, 469, 728], \"label\": \"white poker chip\"},\n {\"box_2d\": [416, 499, 491, 725], \"label\": \"white poker chip\"},\n {\"box_2d\": [438, 497, 512, 722], \"label\": \"white poker chip\"},\n {\"box_2d\": [454, 496, 530, 716], \"label\": \"white poker chip\"},\n {\"box_2d\": [455, 485, 550, 712], \"label\": \"white poker chip\"},\n {\"box_2d\": [494, 487, 571, 709], \"label\": \"white poker chip\"},\n {\"box_2d\": [504, 480, 589, 697], \"label\": \"white poker chip\"},\n {\"box_2d\": [524, 479, 606, 694], \"label\": \"white poker chip\"},\n {\"box_2d\": [538, 474, 622, 695], \"label\": \"white poker chip\"},\n {\"box_2d\": [549, 471, 639, 681], \"label\": \"white poker chip\"},\n {\"box_2d\": [568, 470, 669, 678], \"label\": \"white poker chip\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 2860, "elapsed_seconds": 21.451577625004575, "metadata": {"match_method": "map", "num_predictions": 23, "num_ground_truth": 24, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9504950642585754, "attempts": 1, "retries": 0, "total_seconds": 21.4688}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 188, "image": "IMG_20220316_141641_jpg.rf.2b5b442678a6dd37dce39460868771a9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [449, 29, 882, 400], \"label\": \"nine of spades\"},\n {\"box_2d\": [192, 99, 579, 424], \"label\": \"jack of spades\"},\n {\"box_2d\": [143, 333, 526, 658], \"label\": \"ten of spades\"},\n {\"box_2d\": [143, 565, 531, 868], \"label\": \"queen of spades\"},\n {\"box_2d\": [547, 344, 960, 697], \"label\": \"king of spades\"}\n]\n```", "correct": true, "input_tokens": 1218, "output_tokens": 580, "elapsed_seconds": 7.539989999961108, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 7.5675}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 189, "image": "img_460975841708081304_png.rf.71eaf0b919ddab2a648aa76c72cc4a00.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [159, 145, 315, 254], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [241, 118, 408, 240], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [345, 87, 535, 221], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [468, 45, 676, 198], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [621, 0, 857, 174], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [815, 0, 1000, 140], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [176, 250, 317, 351], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [261, 236, 424, 347], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [364, 215, 545, 338], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [484, 189, 683, 326], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [636, 162, 861, 315], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [820, 123, 1000, 297], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [188, 351, 316, 446], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [273, 344, 419, 447], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [375, 336, 539, 447], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [495, 323, 675, 447], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [639, 311, 853, 448], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [820, 294, 1000, 447], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [201, 445, 332, 540], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [285, 446, 428, 548], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [384, 447, 549, 557], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [501, 445, 688, 567], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [643, 445, 860, 581], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [820, 447, 1000, 597], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [216, 535, 345, 631], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [299, 544, 448, 646], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [397, 551, 560, 663], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [508, 559, 695, 685], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [648, 571, 856, 711], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [820, 589, 1000, 742], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [229, 623, 355, 720], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [311, 637, 453, 743], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [409, 653, 564, 769], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [520, 671, 697, 798], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [659, 694, 856, 837], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [825, 726, 1000, 881], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [240, 710, 365, 807], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [321, 729, 459, 835], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [417, 752, 568, 870], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [525, 780, 695, 909], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [661, 816, 851, 957], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [827, 855, 1000, 1000], \"label\": \"full portable gas cylinder\"}\n]\n```", "correct": true, "input_tokens": 1203, "output_tokens": 3009, "elapsed_seconds": 25.637165332911536, "metadata": {"match_method": "map", "num_predictions": 42, "num_ground_truth": 42, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 25.7217}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 190, "image": "0000242_03668_d_0000012_jpg.rf.06096e6f084464419e172f0d35ca4d48.jpg", "expected": "", "predicted": "[\n {\"box_2d\": [779, 156, 963, 228], \"label\": \"car\"},\n {\"box_2d\": [451, 320, 550, 359], \"label\": \"car\"},\n {\"box_2d\": [445, 487, 533, 523], \"label\": \"car\"},\n {\"box_2d\": [307, 242, 368, 303], \"label\": \"car\"},\n {\"box_2d\": [248, 511, 302, 539], \"label\": \"car\"},\n {\"box_2d\": [353, 111, 405, 187], \"label\": \"car\"},\n {\"box_2d\": [309, 715, 358, 779], \"label\": \"car\"},\n {\"box_2d\": [375, 864, 430, 906], \"label\": \"car\"},\n {\"box_2d\": [556, 691, 631, 744], \"label\": \"car\"},\n {\"box_2d\": [607, 623, 1000, 773], \"label\": \"bus\"},\n {\"box_2d\": [224, 306, 288, 340], \"label\": \"car\"},\n {\"box_2d\": [269, 60, 334, 105], \"label\": \"van\"},\n {\"box_2d\": [393, 42, 437, 94], \"label\": \"tricycle\"},\n {\"box_2d\": [396, 106, 434, 136], \"label\": \"motorcycle\"},\n {\"box_2d\": [411, 177, 454, 215], \"label\": \"tricycle\"},\n {\"box_2d\": [31, 482, 65, 499], \"label\": \"car\"},\n {\"box_2d\": [136, 544, 178, 567], \"label\": \"car\"},\n {\"box_2d\": [351, 0, 404, 19], \"label\": \"car\"},\n {\"box_2d\": [275, 864, 311, 875], \"label\": \"person\"}\n]", "correct": false, "input_tokens": 1253, "output_tokens": 1748, "elapsed_seconds": 17.822783624986187, "metadata": {"match_method": "map", "num_predictions": 19, "num_ground_truth": 41, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.4132746160030365, "attempts": 1, "retries": 0, "total_seconds": 17.8495}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 191, "image": "DJI_20230529111835_0160_T_JPG_jpg.rf.cb5b9a9d87fdc7c9ff407eb5530abb88.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [31, 74, 47, 89], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [101, 445, 117, 460], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [97, 486, 117, 502], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [96, 527, 115, 542], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [90, 606, 113, 622], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [358, 383, 374, 397], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [446, 511, 469, 528], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [444, 587, 466, 603], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [423, 960, 442, 975], \"label\": \"solar panel hot spot\"}\n]\n```", "correct": false, "input_tokens": 1228, "output_tokens": 1131, "elapsed_seconds": 13.677643083035946, "metadata": {"match_method": "map", "num_predictions": 9, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7524752616882324, "attempts": 1, "retries": 0, "total_seconds": 13.6933}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 192, "image": "oil-tank-detection_oiltank_72_jpg.rf.bfd5af54297ea9f409419db50cd04705.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [251, 326, 336, 405], \"label\": \"oil tank\"},\n {\"box_2d\": [364, 386, 452, 466], \"label\": \"oil tank\"},\n {\"box_2d\": [361, 509, 450, 588], \"label\": \"oil tank\"},\n {\"box_2d\": [481, 446, 576, 529], \"label\": \"oil tank\"},\n {\"box_2d\": [606, 511, 706, 595], \"label\": \"oil tank\"},\n {\"box_2d\": [477, 184, 574, 267], \"label\": \"oil tank\"},\n {\"box_2d\": [587, 233, 686, 315], \"label\": \"oil tank\"},\n {\"box_2d\": [703, 286, 807, 373], \"label\": \"oil tank\"},\n {\"box_2d\": [566, 44, 665, 130], \"label\": \"oil tank\"},\n {\"box_2d\": [680, 91, 785, 178], \"label\": \"oil tank\"},\n {\"box_2d\": [801, 141, 909, 229], \"label\": \"oil tank\"}\n]\n```", "correct": true, "input_tokens": 1217, "output_tokens": 1281, "elapsed_seconds": 14.367675374960527, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 14.4293}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 193, "image": "fall-detection_11_mp4-445_jpg.rf.ec9538d8514a0521c6f155cde47497f3.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [498, 612, 568, 712], \"label\": \"fallen person\"},\n {\"box_2d\": [485, 825, 538, 940], \"label\": \"fallen person\"},\n {\"box_2d\": [687, 225, 781, 355], \"label\": \"fallen person\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 900, "elapsed_seconds": 10.257119207992218, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 10.2753}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 194, "image": "IMG_0619_jpeg.rf.c3c23da72f8dbeb2815ccc4646178889.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [264, 307, 349, 377], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [348, 360, 448, 423], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [480, 185, 610, 279], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [621, 344, 756, 476], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [452, 495, 569, 578], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [319, 544, 410, 610], \"label\": \"caramel corn jelly bean\"},\n {\"box_2d\": [259, 478, 331, 543], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [254, 639, 323, 702], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [348, 748, 434, 838], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [484, 676, 575, 789], \"label\": \"peach jelly bean\"},\n {\"box_2d\": [600, 579, 750, 676], \"label\": \"peach jelly bean\"}\n]\n```", "correct": true, "input_tokens": 1230, "output_tokens": 2680, "elapsed_seconds": 29.712165666976944, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 2, "retries": 1, "total_seconds": 92.88, "transient_errors": ["RemoteProtocolError"]}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 195, "image": "GP010243_JPG_jpg.rf.64d32b7106e99e9f954d84ee868d21ec.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [60, 353, 250, 386], \"label\": \"carrot\"},\n {\"box_2d\": [86, 386, 220, 459], \"label\": \"carrot\"},\n {\"box_2d\": [167, 375, 311, 416], \"label\": \"carrot\"},\n {\"box_2d\": [164, 392, 300, 442], \"label\": \"carrot\"},\n {\"box_2d\": [95, 447, 317, 570], \"label\": \"carrot\"},\n {\"box_2d\": [91, 497, 180, 616], \"label\": \"carrot\"},\n {\"box_2d\": [131, 562, 333, 606], \"label\": \"carrot\"},\n {\"box_2d\": [150, 525, 220, 681], \"label\": \"carrot\"},\n {\"box_2d\": [161, 622, 294, 686], \"label\": \"carrot\"},\n {\"box_2d\": [217, 614, 366, 692], \"label\": \"carrot\"},\n {\"box_2d\": [234, 617, 388, 703], \"label\": \"carrot\"},\n {\"box_2d\": [278, 678, 419, 709], \"label\": \"carrot\"},\n {\"box_2d\": [259, 473, 405, 608], \"label\": \"carrot\"},\n {\"box_2d\": [286, 344, 377, 452], \"label\": \"carrot\"},\n {\"box_2d\": [270, 452, 473, 491], \"label\": \"carrot\"},\n {\"box_2d\": [288, 484, 422, 509], \"label\": \"carrot\"},\n {\"box_2d\": [345, 408, 517, 444], \"label\": \"carrot\"},\n {\"box_2d\": [372, 391, 538, 417], \"label\": \"carrot\"},\n {\"box_2d\": [433, 344, 588, 395], \"label\": \"carrot\"},\n {\"box_2d\": [527, 342, 578, 472], \"label\": \"carrot\"},\n {\"box_2d\": [395, 489, 456, 631], \"label\": \"carrot\"},\n {\"box_2d\": [373, 562, 486, 683], \"label\": \"carrot\"},\n {\"box_2d\": [347, 594, 509, 625], \"label\": \"carrot\"},\n {\"box_2d\": [419, 567, 519, 602], \"label\": \"carrot\"},\n {\"box_2d\": [470, 416, 497, 573], \"label\": \"carrot\"},\n {\"box_2d\": [497, 422, 536, 570], \"label\": \"carrot\"},\n {\"box_2d\": [581, 483, 614, 684], \"label\": \"carrot\"},\n {\"box_2d\": [608, 473, 648, 653], \"label\": \"carrot\"},\n {\"box_2d\": [612, 384, 731, 442], \"label\": \"carrot\"},\n {\"box_2d\": [627, 386, 755, 541], \"label\": \"carrot\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 3781, "elapsed_seconds": 35.166781374951825, "metadata": {"match_method": "map", "num_predictions": 30, "num_ground_truth": 31, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9603960514068604, "attempts": 2, "retries": 1, "total_seconds": 97.9048, "transient_errors": ["RemoteProtocolError"]}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 196, "image": "AF6880-9_2025_NCPT-169_JPG_jpg.rf.ea0bce7069f12d5c1ba29710a0998228.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [56, 190, 148, 229], \"label\": \"potato\"},\n {\"box_2d\": [613, 193, 672, 217], \"label\": \"potato\"},\n {\"box_2d\": [12, 238, 82, 267], \"label\": \"potato\"},\n {\"box_2d\": [81, 237, 151, 268], \"label\": \"potato\"},\n {\"box_2d\": [148, 232, 225, 267], \"label\": \"potato\"},\n {\"box_2d\": [399, 234, 461, 261], \"label\": \"potato\"},\n {\"box_2d\": [669, 231, 750, 262], \"label\": \"potato\"},\n {\"box_2d\": [28, 285, 92, 309], \"label\": \"potato\"},\n {\"box_2d\": [250, 275, 349, 312], \"label\": \"potato\"},\n {\"box_2d\": [429, 276, 520, 310], \"label\": \"potato\"},\n {\"box_2d\": [527, 275, 617, 312], \"label\": \"potato\"},\n {\"box_2d\": [641, 273, 728, 308], \"label\": \"potato\"},\n {\"box_2d\": [728, 275, 804, 305], \"label\": \"potato\"},\n {\"box_2d\": [58, 320, 157, 357], \"label\": \"potato\"},\n {\"box_2d\": [322, 321, 427, 362], \"label\": \"potato\"},\n {\"box_2d\": [454, 320, 534, 350], \"label\": \"potato\"},\n {\"box_2d\": [590, 317, 671, 351], \"label\": \"potato\"},\n {\"box_2d\": [918, 314, 1000, 347], \"label\": \"potato\"},\n {\"box_2d\": [8, 370, 90, 403], \"label\": \"potato\"},\n {\"box_2d\": [92, 368, 165, 400], \"label\": \"potato\"},\n {\"box_2d\": [163, 370, 237, 400], \"label\": \"potato\"},\n {\"box_2d\": [225, 361, 278, 384], \"label\": \"potato\"},\n {\"box_2d\": [276, 357, 391, 404], \"label\": \"potato\"},\n {\"box_2d\": [390, 365, 474, 398], \"label\": \"potato\"},\n {\"box_2d\": [473, 361, 577, 400], \"label\": \"potato\"},\n {\"box_2d\": [659, 365, 730, 394], \"label\": \"potato\"},\n {\"box_2d\": [728, 356, 827, 399], \"label\": \"potato\"},\n {\"box_2d\": [825, 353, 928, 393], \"label\": \"potato\"},\n {\"box_2d\": [925, 360, 1000, 397], \"label\": \"potato\"},\n {\"box_2d\": [72, 412, 145, 444], \"label\": \"potato\"},\n {\"box_2d\": [142, 408, 250, 450], \"label\": \"potato\"},\n {\"box_2d\": [249, 410, 345, 446], \"label\": \"potato\"},\n {\"box_2d\": [342, 412, 398, 437], \"label\": \"potato\"},\n {\"box_2d\": [399, 400, 498, 440], \"label\": \"potato\"},\n {\"box_2d\": [503, 401, 613, 439], \"label\": \"potato\"},\n {\"box_2d\": [656, 401, 748, 441], \"label\": \"potato\"},\n {\"box_2d\": [862, 397, 942, 435], \"label\": \"potato\"},\n {\"box_2d\": [938, 404, 1000, 435], \"label\": \"potato\"},\n {\"box_2d\": [3, 454, 110, 498], \"label\": \"potato\"},\n {\"box_2d\": [110, 454, 207, 491], \"label\": \"potato\"},\n {\"box_2d\": [205, 452, 293, 491], \"label\": \"potato\"},\n {\"box_2d\": [290, 446, 365, 480], \"label\": \"potato\"},\n {\"box_2d\": [363, 448, 466, 490], \"label\": \"potato\"},\n {\"box_2d\": [514, 450, 591, 484], \"label\": \"potato\"},\n {\"box_2d\": [606, 446, 694, 485], \"label\": \"potato\"},\n {\"box_2d\": [51, 501, 137, 537], \"label\": \"potato\"},\n {\"box_2d\": [135, 501, 214, 533], \"label\": \"potato\"},\n {\"box_2d\": [213, 502, 281, 531], \"label\": \"potato\"},\n {\"box_2d\": [280, 499, 378, 538], \"label\": \"potato\"},\n {\"box_2d\": [484, 493, 600, 541], \"label\": \"potato\"},\n {\"box_2d\": [764, 488, 860, 530], \"label\": \"potato\"},\n {\"box_2d\": [858, 491, 933, 522], \"label\": \"potato\"},\n {\"box_2d\": [931, 490, 1000, 525], \"label\": \"potato\"},\n {\"box_2d\": [226, 543, 317, 574], \"label\": \"potato\"},\n {\"box_2d\": [384, 537, 485, 581], \"label\": \"potato\"},\n {\"box_2d\": [77, 585, 171, 621], \"label\": \"potato\"},\n {\"box_2d\": [236, 581, 353, 621], \"label\": \"potato\"},\n {\"box_2d\": [560, 585, 635, 613], \"label\": \"potato\"},\n {\"box_2d\": [636, 581, 729, 612], \"label\": \"potato\"},\n {\"box_2d\": [5, 633, 95, 666], \"label\": \"potato\"},\n {\"box_2d\": [93, 632, 177, 670], \"label\": \"potato\"},\n {\"box_2d\": [173, 634, 236, 661], \"label\": \"potato\"},\n {\"box_2d\": [192, 670, 296, 708], \"label\": \"potato\"},\n {\"box_2d\": [421, 669, 517, 704], \"label\": \"potato\"},\n {\"box_2d\": [567, 669, 632, 696], \"label\": \"potato\"},\n {\"box_2d\": [821, 664, 916, 699], \"label\": \"potato\"},\n {\"box_2d\": [576, 752, 683, 792], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 4538, "elapsed_seconds": 44.65381762501784, "metadata": {"match_method": "map", "num_predictions": 67, "num_ground_truth": 67, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 45.1317}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 197, "image": "frame_0086_jpg.rf.5ae0e80356e2c5bb993a052e5023c7f1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [29, 340, 68, 362], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [30, 395, 70, 418], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [33, 452, 74, 475], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [38, 507, 79, 531], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [113, 328, 154, 352], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [115, 383, 157, 408], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [119, 440, 162, 466], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [124, 498, 168, 524], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [653, 299, 704, 326], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [657, 360, 710, 388], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [668, 423, 721, 451], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [681, 488, 735, 517], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [764, 296, 818, 321], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [771, 356, 825, 384], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [781, 420, 836, 449], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [796, 485, 851, 513], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [878, 293, 929, 319], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [884, 353, 936, 380], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [898, 418, 949, 444], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [912, 482, 963, 509], \"label\": \"soda bottle cap\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 1846, "elapsed_seconds": 31.402679749997333, "metadata": {"match_method": "map", "num_predictions": 20, "num_ground_truth": 20, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 31.775}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 198, "image": "image_147_png_jpg.rf.fd3e0f5032b1ae386c027b1058ac751a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [122, 672, 404, 888], \"label\": \"tire size text\"},\n {\"box_2d\": [417, 80, 779, 212], \"label\": \"tire size text\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 783, "elapsed_seconds": 13.326038000057451, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 13.6014}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 199, "image": "fabric-defect_1080_jpg.rf.77a4ab03e25cfeeaaa1f6bbdcb3e7742.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [565, 489, 672, 730], \"label\": \"fabric cut\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 375, "elapsed_seconds": 6.278281416045502, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 6.286}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 200, "image": "oil-tank-detection_oiltank_137_jpg.rf.be33343bf10652832014b855d080a80c.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [82, 464, 224, 588], \"label\": \"oil tank\"},\n {\"box_2d\": [233, 456, 380, 580], \"label\": \"oil tank\"},\n {\"box_2d\": [391, 449, 540, 574], \"label\": \"oil tank\"},\n {\"box_2d\": [549, 449, 682, 563], \"label\": \"oil tank\"},\n {\"box_2d\": [93, 600, 237, 725], \"label\": \"oil tank\"},\n {\"box_2d\": [240, 595, 389, 722], \"label\": \"oil tank\"},\n {\"box_2d\": [399, 589, 547, 718], \"label\": \"oil tank\"},\n {\"box_2d\": [556, 595, 691, 707], \"label\": \"oil tank\"},\n {\"box_2d\": [106, 735, 229, 839], \"label\": \"oil tank\"},\n {\"box_2d\": [231, 732, 360, 836], \"label\": \"oil tank\"},\n {\"box_2d\": [366, 728, 496, 836], \"label\": \"oil tank\"},\n {\"box_2d\": [116, 850, 195, 920], \"label\": \"oil tank\"},\n {\"box_2d\": [194, 850, 275, 918], \"label\": \"oil tank\"},\n {\"box_2d\": [276, 849, 357, 920], \"label\": \"oil tank\"},\n {\"box_2d\": [357, 849, 441, 921], \"label\": \"oil tank\"},\n {\"box_2d\": [442, 848, 526, 919], \"label\": \"oil tank\"},\n {\"box_2d\": [590, 846, 672, 916], \"label\": \"oil tank\"}\n]\n```", "correct": true, "input_tokens": 1217, "output_tokens": 1797, "elapsed_seconds": 18.137502791010775, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 17, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 18.1915}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 201, "image": "basketball-player-detection_boston-celtics-new-york-knicks-game-1-q1-05-13-05-09-0000_png.rf.31fd4573143b8c82031c8804c4754e40.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [324, 198, 350, 213], \"label\": \"basketball\"},\n {\"box_2d\": [291, 158, 456, 206], \"label\": \"player in possession\"},\n {\"box_2d\": [357, 130, 610, 182], \"label\": \"player\"},\n {\"box_2d\": [401, 224, 650, 280], \"label\": \"player\"},\n {\"box_2d\": [305, 294, 490, 357], \"label\": \"player\"},\n {\"box_2d\": [478, 483, 690, 529], \"label\": \"player\"},\n {\"box_2d\": [578, 466, 807, 532], \"label\": \"player\"},\n {\"box_2d\": [195, 539, 377, 591], \"label\": \"player\"},\n {\"box_2d\": [141, 532, 311, 567], \"label\": \"player\"},\n {\"box_2d\": [245, 656, 455, 696], \"label\": \"player\"},\n {\"box_2d\": [172, 667, 358, 707], \"label\": \"player\"},\n {\"box_2d\": [224, 8, 400, 69], \"label\": \"referee\"},\n {\"box_2d\": [207, 744, 378, 785], \"label\": \"referee\"},\n {\"box_2d\": [677, 631, 912, 681], \"label\": \"referee\"},\n {\"box_2d\": [194, 713, 215, 744], \"label\": \"basket rim\"},\n {\"box_2d\": [409, 141, 442, 153], \"label\": \"jersey number\"},\n {\"box_2d\": [461, 241, 487, 252], \"label\": \"jersey number\"},\n {\"box_2d\": [332, 319, 354, 335], \"label\": \"jersey number\"},\n {\"box_2d\": [636, 472, 666, 483], \"label\": \"jersey number\"},\n {\"box_2d\": [232, 560, 255, 569], \"label\": \"jersey number\"},\n {\"box_2d\": [295, 670, 317, 680], \"label\": \"jersey number\"},\n {\"box_2d\": [723, 650, 746, 664], \"label\": \"jersey number\"}\n]\n```", "correct": true, "input_tokens": 1250, "output_tokens": 2588, "elapsed_seconds": 23.390379499993287, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 23, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9587458372116089, "attempts": 1, "retries": 0, "total_seconds": 23.4776}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 202, "image": "z4517190790071_c6f2ede212488ea95f254bbe631608fc_jpg.rf.f7f6570fcaaac50f965457b35ee9278d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [158, 349, 263, 506], \"label\": \"10 poker chip\"},\n {\"box_2d\": [228, 587, 342, 753], \"label\": \"50 poker chip\"},\n {\"box_2d\": [281, 240, 396, 405], \"label\": \"20 poker chip\"},\n {\"box_2d\": [292, 439, 409, 605], \"label\": \"20 poker chip\"},\n {\"box_2d\": [363, 102, 484, 275], \"label\": \"100 poker chip\"},\n {\"box_2d\": [344, 769, 466, 945], \"label\": \"5000 poker chip\"},\n {\"box_2d\": [421, 358, 546, 531], \"label\": \"20 poker chip\"},\n {\"box_2d\": [425, 605, 553, 785], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [456, 187, 586, 364], \"label\": \"10 poker chip\"},\n {\"box_2d\": [526, 456, 663, 639], \"label\": \"20 poker chip\"},\n {\"box_2d\": [549, 26, 687, 211], \"label\": \"50 poker chip\"},\n {\"box_2d\": [574, 246, 715, 433], \"label\": \"20 poker chip\"},\n {\"box_2d\": [549, 697, 689, 888], \"label\": \"500 poker chip\"},\n {\"box_2d\": [705, 396, 863, 591], \"label\": \"50 poker chip\"},\n {\"box_2d\": [692, 601, 849, 800], \"label\": \"50 poker chip\"}\n]\n```", "correct": true, "input_tokens": 1246, "output_tokens": 1205, "elapsed_seconds": 17.152492332970724, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 17.3455}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 203, "image": "0000272_05500_d_0000012_jpg.rf.4ba2cfdc69b70f306855d444db49f509.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [872, 452, 1000, 517], \"label\": \"car\"},\n {\"box_2d\": [595, 475, 742, 526], \"label\": \"car\"},\n {\"box_2d\": [615, 581, 731, 645], \"label\": \"car\"},\n {\"box_2d\": [424, 481, 519, 520], \"label\": \"car\"},\n {\"box_2d\": [283, 486, 362, 520], \"label\": \"car\"},\n {\"box_2d\": [231, 528, 284, 555], \"label\": \"car\"},\n {\"box_2d\": [187, 483, 251, 506], \"label\": \"van\"},\n {\"box_2d\": [173, 585, 220, 612], \"label\": \"car\"},\n {\"box_2d\": [262, 565, 321, 588], \"label\": \"awning tricycle\"},\n {\"box_2d\": [334, 608, 376, 622], \"label\": \"person\"},\n {\"box_2d\": [345, 607, 384, 622], \"label\": \"motorcycle\"},\n {\"box_2d\": [492, 672, 550, 689], \"label\": \"person\"},\n {\"box_2d\": [772, 350, 847, 369], \"label\": \"person\"},\n {\"box_2d\": [713, 402, 777, 419], \"label\": \"person\"},\n {\"box_2d\": [742, 402, 799, 418], \"label\": \"bike\"},\n {\"box_2d\": [419, 413, 472, 426], \"label\": \"person\"},\n {\"box_2d\": [331, 382, 391, 404], \"label\": \"awning tricycle\"},\n {\"box_2d\": [295, 384, 344, 405], \"label\": \"awning tricycle\"},\n {\"box_2d\": [206, 399, 259, 422], \"label\": \"awning tricycle\"},\n {\"box_2d\": [74, 562, 108, 582], \"label\": \"car\"},\n {\"box_2d\": [35, 557, 73, 575], \"label\": \"car\"},\n {\"box_2d\": [25, 519, 57, 536], \"label\": \"car\"},\n {\"box_2d\": [6, 554, 33, 569], \"label\": \"car\"},\n {\"box_2d\": [111, 424, 159, 442], \"label\": \"van\"},\n {\"box_2d\": [71, 425, 120, 446], \"label\": \"van\"},\n {\"box_2d\": [134, 448, 166, 455], \"label\": \"person\"},\n {\"box_2d\": [424, 847, 462, 869], \"label\": \"motorcycle\"},\n {\"box_2d\": [748, 28, 832, 81], \"label\": \"car\"}\n]\n```", "correct": false, "input_tokens": 1251, "output_tokens": 2379, "elapsed_seconds": 23.030795708065853, "metadata": {"match_method": "map", "num_predictions": 28, "num_ground_truth": 48, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3323863744735718, "attempts": 1, "retries": 0, "total_seconds": 23.0862}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 204, "image": "IMG_20251126_160326_jpg.rf.31a216199c4280d746f5865a68a63ce2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 475, 198, 553], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [2, 628, 180, 711], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [686, 33, 782, 106], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [662, 118, 949, 194], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [678, 243, 769, 314], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [661, 311, 766, 384], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [669, 382, 765, 449], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [662, 462, 757, 531], \"label\": \"white standard price tag\"},\n {\"box_2d\": [641, 591, 925, 667], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [656, 688, 753, 758], \"label\": \"white standard price tag\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 1876, "elapsed_seconds": 19.517889042035677, "metadata": {"match_method": "map", "num_predictions": 10, "num_ground_truth": 10, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 19.8018}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 205, "image": "54_jpg.rf.3f4031b98a1a0622e63a0c84142db646.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [50, 108, 121, 353], \"label\": \"blood sample tube\"},\n {\"box_2d\": [42, 291, 325, 450], \"label\": \"blood sample tube\"},\n {\"box_2d\": [172, 319, 417, 514], \"label\": \"blood sample tube\"},\n {\"box_2d\": [312, 224, 631, 277], \"label\": \"blood sample tube\"},\n {\"box_2d\": [400, 109, 695, 241], \"label\": \"blood sample tube\"},\n {\"box_2d\": [686, 117, 749, 360], \"label\": \"blood sample tube\"},\n {\"box_2d\": [375, 305, 684, 429], \"label\": \"blood sample tube\"},\n {\"box_2d\": [295, 371, 598, 495], \"label\": \"blood sample tube\"},\n {\"box_2d\": [411, 375, 709, 517], \"label\": \"blood sample tube\"},\n {\"box_2d\": [678, 416, 742, 661], \"label\": \"blood sample tube\"},\n {\"box_2d\": [333, 474, 613, 639], \"label\": \"blood sample tube\"},\n {\"box_2d\": [542, 555, 725, 787], \"label\": \"blood sample tube\"},\n {\"box_2d\": [511, 649, 694, 886], \"label\": \"blood sample tube\"},\n {\"box_2d\": [422, 616, 608, 850], \"label\": \"blood sample tube\"},\n {\"box_2d\": [194, 559, 464, 738], \"label\": \"blood sample tube\"},\n {\"box_2d\": [231, 643, 506, 824], \"label\": \"blood sample tube\"},\n {\"box_2d\": [48, 452, 237, 675], \"label\": \"blood sample tube\"},\n {\"box_2d\": [19, 545, 92, 786], \"label\": \"blood sample tube\"},\n {\"box_2d\": [70, 653, 377, 789], \"label\": \"blood sample tube\"},\n {\"box_2d\": [53, 781, 375, 839], \"label\": \"blood sample tube\"},\n {\"box_2d\": [156, 825, 481, 880], \"label\": \"blood sample tube\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 2321, "elapsed_seconds": 18.371712791966274, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 21, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 18.3964}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 206, "image": "car-part-detection_Car-damages-100_png_jpg.rf.662e4c271efc89eea96c10e14886a134.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [407, 103, 575, 174], \"label\": \"front bumper\"},\n {\"box_2d\": [389, 124, 429, 161], \"label\": \"headlight\"},\n {\"box_2d\": [322, 139, 391, 294], \"label\": \"hood\"},\n {\"box_2d\": [314, 320, 364, 344], \"label\": \"mirror\"},\n {\"box_2d\": [229, 342, 362, 535], \"label\": \"front window\"},\n {\"box_2d\": [224, 299, 584, 541], \"label\": \"front door\"},\n {\"box_2d\": [229, 548, 355, 748], \"label\": \"back window\"},\n {\"box_2d\": [226, 524, 591, 765], \"label\": \"back door\"},\n {\"box_2d\": [368, 880, 434, 953], \"label\": \"tail light\"},\n {\"box_2d\": [423, 839, 608, 961], \"label\": \"back bumper\"}\n]\n```", "correct": false, "input_tokens": 1273, "output_tokens": 1279, "elapsed_seconds": 12.746311541995965, "metadata": {"match_method": "map", "num_predictions": 10, "num_ground_truth": 13, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7499998807907104, "attempts": 1, "retries": 0, "total_seconds": 12.7612}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 207, "image": "11_jpeg_jpg.rf.39329fe23320cf7bc33af6b9a57582d1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [75, 259, 182, 340], \"label\": \"potato\"},\n {\"box_2d\": [87, 643, 182, 740], \"label\": \"potato\"},\n {\"box_2d\": [298, 35, 422, 134], \"label\": \"potato\"},\n {\"box_2d\": [296, 345, 389, 435], \"label\": \"potato\"},\n {\"box_2d\": [322, 980, 406, 1000], \"label\": \"potato\"},\n {\"box_2d\": [498, 200, 659, 316], \"label\": \"potato\"},\n {\"box_2d\": [489, 405, 595, 499], \"label\": \"potato\"},\n {\"box_2d\": [503, 618, 595, 702], \"label\": \"potato\"},\n {\"box_2d\": [503, 789, 603, 879], \"label\": \"potato\"},\n {\"box_2d\": [650, 511, 818, 621], \"label\": \"potato\"},\n {\"box_2d\": [698, 323, 829, 435], \"label\": \"potato\"},\n {\"box_2d\": [710, 702, 810, 783], \"label\": \"potato\"},\n {\"box_2d\": [702, 813, 808, 882], \"label\": \"potato\"},\n {\"box_2d\": [716, 0, 808, 34], \"label\": \"potato\"},\n {\"box_2d\": [913, 315, 1000, 422], \"label\": \"potato\"},\n {\"box_2d\": [899, 744, 1000, 839], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1240, "output_tokens": 2198, "elapsed_seconds": 16.266335042077117, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 16.2965}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 208, "image": "oil-tank-detection_oiltank_3_jpg.rf.be0eb144cee15c2f85755ead464dc286.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [104, 73, 236, 178], \"label\": \"oil tank\"},\n {\"box_2d\": [99, 229, 231, 333], \"label\": \"oil tank\"},\n {\"box_2d\": [90, 457, 220, 562], \"label\": \"oil tank\"},\n {\"box_2d\": [84, 613, 214, 717], \"label\": \"oil tank\"},\n {\"box_2d\": [264, 620, 396, 725], \"label\": \"oil tank\"},\n {\"box_2d\": [269, 462, 403, 568], \"label\": \"oil tank\"},\n {\"box_2d\": [278, 230, 411, 334], \"label\": \"oil tank\"},\n {\"box_2d\": [283, 74, 417, 178], \"label\": \"oil tank\"},\n {\"box_2d\": [541, 134, 629, 200], \"label\": \"oil tank\"},\n {\"box_2d\": [537, 227, 626, 293], \"label\": \"oil tank\"}\n]\n```", "correct": true, "input_tokens": 1217, "output_tokens": 958, "elapsed_seconds": 10.965560333104804, "metadata": {"match_method": "map", "num_predictions": 10, "num_ground_truth": 10, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 11.0185}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 209, "image": "tile_558_jpg.rf.98aa48e6c54062f1e67b01de665e6887.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [75, 882, 98, 924], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [310, 569, 335, 603], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [345, 246, 376, 323], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [602, 837, 621, 894], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [624, 340, 666, 422], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [869, 154, 901, 226], \"label\": \"ship in SAR satellite image\"}\n]\n```", "correct": true, "input_tokens": 1229, "output_tokens": 916, "elapsed_seconds": 8.235793082974851, "metadata": {"match_method": "map", "num_predictions": 6, "num_ground_truth": 6, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 8.274}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 210, "image": "20230224_110122_jpg.rf.94c8b9d6caaec8593c315337e30857d7.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [591, 198, 650, 283], \"label\": \"crack\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 227, "elapsed_seconds": 4.540798791102134, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 4.5544}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 211, "image": "IMG_20220316_144550_jpg.rf.92c6d74a9ccc9c6c90918613d40eb144.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [550, 170, 1000, 513], \"label\": \"five of hearts\"},\n {\"box_2d\": [444, 405, 892, 668], \"label\": \"seven of hearts\"},\n {\"box_2d\": [246, 288, 658, 524], \"label\": \"six of hearts\"},\n {\"box_2d\": [282, 515, 673, 686], \"label\": \"eight of hearts\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 539, "elapsed_seconds": 5.625466707977466, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 5.64}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 212, "image": "wood-log-detection_006_png_jpg.rf.45786538ddac406dd0014f409b1d4caa.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [94, 202, 139, 262], \"label\": \"log cross-section\"},\n {\"box_2d\": [184, 238, 214, 273], \"label\": \"log cross-section\"},\n {\"box_2d\": [205, 322, 231, 352], \"label\": \"log cross-section\"},\n {\"box_2d\": [86, 291, 138, 361], \"label\": \"log cross-section\"},\n {\"box_2d\": [120, 389, 158, 436], \"label\": \"log cross-section\"},\n {\"box_2d\": [191, 447, 223, 483], \"label\": \"log cross-section\"},\n {\"box_2d\": [56, 450, 122, 534], \"label\": \"log cross-section\"},\n {\"box_2d\": [120, 475, 169, 552], \"label\": \"log cross-section\"},\n {\"box_2d\": [56, 566, 106, 631], \"label\": \"log cross-section\"},\n {\"box_2d\": [125, 558, 158, 595], \"label\": \"log cross-section\"},\n {\"box_2d\": [119, 594, 156, 644], \"label\": \"log cross-section\"},\n {\"box_2d\": [147, 570, 186, 620], \"label\": \"log cross-section\"},\n {\"box_2d\": [81, 622, 125, 680], \"label\": \"log cross-section\"},\n {\"box_2d\": [108, 662, 145, 712], \"label\": \"log cross-section\"},\n {\"box_2d\": [162, 631, 202, 686], \"label\": \"log cross-section\"},\n {\"box_2d\": [161, 722, 205, 780], \"label\": \"log cross-section\"}\n]\n```", "correct": true, "input_tokens": 1228, "output_tokens": 2047, "elapsed_seconds": 21.917459500022233, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 21.9405}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 213, "image": "Container_864_jpg.rf.9627e6adc1ff8e75c7d8ca9f8cc06311.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [111, 543, 389, 564], \"label\": \"shipping container number\"},\n {\"box_2d\": [94, 604, 195, 617], \"label\": \"container ISO type code\"}\n]\n```", "correct": true, "input_tokens": 1232, "output_tokens": 867, "elapsed_seconds": 11.426292875083163, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 11.4374}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 214, "image": "uav20221018_ixfZ_3857_14_png.rf.64d1ce8897202b1ab5141c12ebcde0db.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 158, 39, 231], \"label\": \"banana tree\"},\n {\"box_2d\": [45, 245, 83, 281], \"label\": \"banana tree\"},\n {\"box_2d\": [87, 174, 134, 211], \"label\": \"banana tree\"},\n {\"box_2d\": [116, 246, 170, 289], \"label\": \"banana tree\"},\n {\"box_2d\": [172, 171, 216, 222], \"label\": \"banana tree\"},\n {\"box_2d\": [213, 240, 260, 283], \"label\": \"banana tree\"},\n {\"box_2d\": [260, 177, 297, 219], \"label\": \"banana tree\"},\n {\"box_2d\": [304, 243, 344, 281], \"label\": \"banana tree\"},\n {\"box_2d\": [342, 172, 398, 227], \"label\": \"banana tree\"},\n {\"box_2d\": [388, 250, 427, 291], \"label\": \"banana tree\"},\n {\"box_2d\": [429, 178, 485, 223], \"label\": \"banana tree\"},\n {\"box_2d\": [468, 249, 523, 294], \"label\": \"banana tree\"},\n {\"box_2d\": [522, 181, 562, 226], \"label\": \"banana tree\"},\n {\"box_2d\": [560, 250, 610, 291], \"label\": \"banana tree\"},\n {\"box_2d\": [602, 179, 654, 233], \"label\": \"banana tree\"},\n {\"box_2d\": [641, 244, 706, 297], \"label\": \"banana tree\"},\n {\"box_2d\": [686, 169, 738, 235], \"label\": \"banana tree\"},\n {\"box_2d\": [732, 243, 785, 295], \"label\": \"banana tree\"},\n {\"box_2d\": [784, 177, 830, 231], \"label\": \"banana tree\"},\n {\"box_2d\": [828, 252, 875, 298], \"label\": \"banana tree\"},\n {\"box_2d\": [866, 177, 922, 238], \"label\": \"banana tree\"},\n {\"box_2d\": [910, 252, 964, 305], \"label\": \"banana tree\"},\n {\"box_2d\": [958, 179, 1000, 240], \"label\": \"banana tree\"},\n {\"box_2d\": [0, 467, 79, 540], \"label\": \"banana tree\"},\n {\"box_2d\": [53, 553, 107, 599], \"label\": \"banana tree\"},\n {\"box_2d\": [94, 465, 167, 536], \"label\": \"banana tree\"},\n {\"box_2d\": [138, 542, 198, 603], \"label\": \"banana tree\"},\n {\"box_2d\": [169, 471, 252, 545], \"label\": \"banana tree\"},\n {\"box_2d\": [231, 557, 275, 597], \"label\": \"banana tree\"},\n {\"box_2d\": [272, 486, 325, 533], \"label\": \"banana tree\"},\n {\"box_2d\": [312, 557, 368, 602], \"label\": \"banana tree\"},\n {\"box_2d\": [346, 478, 434, 547], \"label\": \"banana tree\"},\n {\"box_2d\": [398, 551, 449, 603], \"label\": \"banana tree\"},\n {\"box_2d\": [436, 480, 496, 543], \"label\": \"banana tree\"},\n {\"box_2d\": [481, 564, 536, 606], \"label\": \"banana tree\"},\n {\"box_2d\": [525, 477, 585, 539], \"label\": \"banana tree\"},\n {\"box_2d\": [576, 560, 625, 607], \"label\": \"banana tree\"},\n {\"box_2d\": [616, 482, 681, 550], \"label\": \"banana tree\"},\n {\"box_2d\": [656, 551, 709, 608], \"label\": \"banana tree\"},\n {\"box_2d\": [683, 478, 773, 567], \"label\": \"banana tree\"},\n {\"box_2d\": [743, 554, 793, 609], \"label\": \"banana tree\"},\n {\"box_2d\": [792, 478, 862, 545], \"label\": \"banana tree\"},\n {\"box_2d\": [835, 567, 875, 610], \"label\": \"banana tree\"},\n {\"box_2d\": [872, 488, 933, 547], \"label\": \"banana tree\"},\n {\"box_2d\": [918, 571, 962, 612], \"label\": \"banana tree\"},\n {\"box_2d\": [964, 490, 1000, 551], \"label\": \"banana tree\"},\n {\"box_2d\": [764, 853, 821, 915], \"label\": \"banana tree\"},\n {\"box_2d\": [808, 780, 875, 845], \"label\": \"banana tree\"},\n {\"box_2d\": [857, 862, 902, 904], \"label\": \"banana tree\"},\n {\"box_2d\": [896, 790, 962, 848], \"label\": \"banana tree\"},\n {\"box_2d\": [936, 860, 998, 916], \"label\": \"banana tree\"}\n]\n```", "correct": false, "input_tokens": 1226, "output_tokens": 3467, "elapsed_seconds": 30.18233058298938, "metadata": {"match_method": "map", "num_predictions": 51, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6546162962913513, "attempts": 1, "retries": 0, "total_seconds": 30.2269}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 215, "image": "1704192313045_jpg.rf.f68f24072cd4a5061cddf9521b0b617a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [264, 603, 336, 687], \"label\": \"chickpea grain\"},\n {\"box_2d\": [429, 290, 514, 365], \"label\": \"chickpea grain\"},\n {\"box_2d\": [501, 435, 564, 510], \"label\": \"chickpea grain\"},\n {\"box_2d\": [590, 728, 670, 807], \"label\": \"chickpea grain\"},\n {\"box_2d\": [698, 226, 781, 300], \"label\": \"chickpea grain\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 538, "elapsed_seconds": 6.7964062499813735, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 6.809}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 216, "image": "A15311-6Ctrv_2025_NCPT-174_JPG_jpg.rf.fc9ee0cac2da2d059bc0db453be0c788.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [17, 170, 65, 190], \"label\": \"potato\"},\n {\"box_2d\": [108, 156, 202, 192], \"label\": \"potato\"},\n {\"box_2d\": [201, 162, 268, 191], \"label\": \"potato\"},\n {\"box_2d\": [105, 206, 185, 236], \"label\": \"potato\"},\n {\"box_2d\": [428, 201, 497, 229], \"label\": \"potato\"},\n {\"box_2d\": [567, 198, 646, 230], \"label\": \"potato\"},\n {\"box_2d\": [11, 254, 70, 278], \"label\": \"potato\"},\n {\"box_2d\": [73, 246, 158, 281], \"label\": \"potato\"},\n {\"box_2d\": [181, 242, 274, 281], \"label\": \"potato\"},\n {\"box_2d\": [375, 245, 456, 276], \"label\": \"potato\"},\n {\"box_2d\": [497, 244, 585, 279], \"label\": \"potato\"},\n {\"box_2d\": [804, 242, 887, 272], \"label\": \"potato\"},\n {\"box_2d\": [9, 292, 94, 325], \"label\": \"potato\"},\n {\"box_2d\": [94, 292, 151, 319], \"label\": \"potato\"},\n {\"box_2d\": [149, 289, 229, 322], \"label\": \"potato\"},\n {\"box_2d\": [390, 280, 517, 325], \"label\": \"potato\"},\n {\"box_2d\": [515, 294, 550, 313], \"label\": \"potato\"},\n {\"box_2d\": [549, 291, 608, 316], \"label\": \"potato\"},\n {\"box_2d\": [608, 289, 673, 314], \"label\": \"potato\"},\n {\"box_2d\": [690, 286, 763, 314], \"label\": \"potato\"},\n {\"box_2d\": [8, 340, 65, 365], \"label\": \"potato\"},\n {\"box_2d\": [64, 333, 154, 369], \"label\": \"potato\"},\n {\"box_2d\": [181, 319, 303, 366], \"label\": \"potato\"},\n {\"box_2d\": [301, 330, 399, 368], \"label\": \"potato\"},\n {\"box_2d\": [444, 327, 550, 367], \"label\": \"potato\"},\n {\"box_2d\": [561, 328, 655, 368], \"label\": \"potato\"},\n {\"box_2d\": [654, 334, 714, 359], \"label\": \"potato\"},\n {\"box_2d\": [33, 378, 108, 408], \"label\": \"potato\"},\n {\"box_2d\": [108, 375, 190, 410], \"label\": \"potato\"},\n {\"box_2d\": [189, 376, 272, 410], \"label\": \"potato\"},\n {\"box_2d\": [269, 369, 373, 410], \"label\": \"potato\"},\n {\"box_2d\": [485, 364, 598, 409], \"label\": \"potato\"},\n {\"box_2d\": [619, 368, 713, 405], \"label\": \"potato\"},\n {\"box_2d\": [716, 369, 804, 404], \"label\": \"potato\"},\n {\"box_2d\": [808, 374, 882, 401], \"label\": \"potato\"},\n {\"box_2d\": [74, 420, 158, 454], \"label\": \"potato\"},\n {\"box_2d\": [156, 417, 263, 458], \"label\": \"potato\"},\n {\"box_2d\": [281, 414, 407, 456], \"label\": \"potato\"},\n {\"box_2d\": [410, 415, 507, 452], \"label\": \"potato\"},\n {\"box_2d\": [611, 414, 691, 450], \"label\": \"potato\"},\n {\"box_2d\": [121, 459, 241, 500], \"label\": \"potato\"},\n {\"box_2d\": [313, 453, 435, 503], \"label\": \"potato\"},\n {\"box_2d\": [433, 463, 503, 495], \"label\": \"potato\"},\n {\"box_2d\": [597, 455, 735, 497], \"label\": \"potato\"},\n {\"box_2d\": [733, 448, 841, 493], \"label\": \"potato\"},\n {\"box_2d\": [930, 457, 999, 488], \"label\": \"potato\"},\n {\"box_2d\": [8, 514, 67, 538], \"label\": \"potato\"},\n {\"box_2d\": [366, 501, 499, 545], \"label\": \"potato\"},\n {\"box_2d\": [825, 493, 952, 547], \"label\": \"potato\"},\n {\"box_2d\": [4, 557, 89, 589], \"label\": \"potato\"},\n {\"box_2d\": [401, 550, 499, 583], \"label\": \"potato\"},\n {\"box_2d\": [831, 544, 921, 578], \"label\": \"potato\"},\n {\"box_2d\": [918, 549, 974, 575], \"label\": \"potato\"},\n {\"box_2d\": [5, 600, 84, 631], \"label\": \"potato\"},\n {\"box_2d\": [157, 589, 286, 646], \"label\": \"potato\"},\n {\"box_2d\": [506, 591, 640, 639], \"label\": \"potato\"},\n {\"box_2d\": [704, 594, 774, 624], \"label\": \"potato\"},\n {\"box_2d\": [25, 631, 151, 680], \"label\": \"potato\"},\n {\"box_2d\": [452, 636, 553, 674], \"label\": \"potato\"},\n {\"box_2d\": [929, 721, 996, 749], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 3775, "elapsed_seconds": 39.79409408301581, "metadata": {"match_method": "map", "num_predictions": 60, "num_ground_truth": 60, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 40.2637}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 217, "image": "signatures_image_15_png_jpg.rf.6b815d82f5451daedc9c9077d66f9599.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [242, 74, 290, 401], \"label\": \"signature\"},\n {\"box_2d\": [229, 466, 281, 826], \"label\": \"signature\"},\n {\"box_2d\": [354, 71, 495, 433], \"label\": \"signature\"},\n {\"box_2d\": [412, 510, 480, 752], \"label\": \"signature\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 564, "elapsed_seconds": 9.405622124904767, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 9.4786}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 218, "image": "lot222_JPEG_jpg.rf.50df16e1f4326083fe341ec20a62dbe4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [168, 501, 187, 542], \"label\": \"chicory seed\"},\n {\"box_2d\": [171, 461, 198, 501], \"label\": \"chicory seed\"},\n {\"box_2d\": [181, 403, 209, 444], \"label\": \"chicory seed\"},\n {\"box_2d\": [189, 488, 210, 534], \"label\": \"chicory seed\"},\n {\"box_2d\": [170, 548, 199, 591], \"label\": \"chicory seed\"},\n {\"box_2d\": [181, 542, 210, 581], \"label\": \"chicory seed\"},\n {\"box_2d\": [191, 570, 227, 606], \"label\": \"chicory seed\"},\n {\"box_2d\": [188, 606, 221, 644], \"label\": \"chicory seed\"},\n {\"box_2d\": [200, 656, 234, 691], \"label\": \"chicory seed\"},\n {\"box_2d\": [222, 640, 248, 684], \"label\": \"chicory seed\"},\n {\"box_2d\": [209, 340, 228, 381], \"label\": \"chicory seed\"},\n {\"box_2d\": [201, 407, 234, 444], \"label\": \"chicory seed\"},\n {\"box_2d\": [194, 444, 231, 464], \"label\": \"chicory seed\"},\n {\"box_2d\": [200, 468, 241, 490], \"label\": \"chicory seed\"},\n {\"box_2d\": [217, 530, 254, 569], \"label\": \"chicory seed\"},\n {\"box_2d\": [225, 591, 265, 616], \"label\": \"chicory seed\"},\n {\"box_2d\": [232, 370, 250, 412], \"label\": \"chicory seed\"},\n {\"box_2d\": [247, 372, 267, 415], \"label\": \"chicory seed\"},\n {\"box_2d\": [235, 306, 267, 347], \"label\": \"chicory seed\"},\n {\"box_2d\": [244, 279, 283, 308], \"label\": \"chicory seed\"},\n {\"box_2d\": [218, 695, 252, 732], \"label\": \"chicory seed\"},\n {\"box_2d\": [232, 491, 264, 529], \"label\": \"chicory seed\"},\n {\"box_2d\": [245, 503, 276, 542], \"label\": \"chicory seed\"},\n {\"box_2d\": [242, 466, 280, 496], \"label\": \"chicory seed\"},\n {\"box_2d\": [245, 426, 287, 456], \"label\": \"chicory seed\"},\n {\"box_2d\": [252, 535, 280, 578], \"label\": \"chicory seed\"},\n {\"box_2d\": [263, 578, 286, 622], \"label\": \"chicory seed\"},\n {\"box_2d\": [248, 648, 271, 689], \"label\": \"chicory seed\"},\n {\"box_2d\": [263, 633, 290, 676], \"label\": \"chicory seed\"},\n {\"box_2d\": [249, 695, 270, 737], \"label\": \"chicory seed\"},\n {\"box_2d\": [249, 732, 290, 756], \"label\": \"chicory seed\"},\n {\"box_2d\": [258, 759, 298, 789], \"label\": \"chicory seed\"},\n {\"box_2d\": [269, 243, 306, 277], \"label\": \"chicory seed\"},\n {\"box_2d\": [276, 280, 304, 319], \"label\": \"chicory seed\"},\n {\"box_2d\": [263, 330, 302, 356], \"label\": \"chicory seed\"},\n {\"box_2d\": [261, 356, 306, 383], \"label\": \"chicory seed\"},\n {\"box_2d\": [265, 396, 308, 420], \"label\": \"chicory seed\"},\n {\"box_2d\": [273, 439, 301, 480], \"label\": \"chicory seed\"},\n {\"box_2d\": [273, 487, 292, 529], \"label\": \"chicory seed\"},\n {\"box_2d\": [281, 512, 306, 552], \"label\": \"chicory seed\"},\n {\"box_2d\": [277, 543, 314, 578], \"label\": \"chicory seed\"},\n {\"box_2d\": [273, 678, 312, 700], \"label\": \"chicory seed\"},\n {\"box_2d\": [268, 702, 308, 723], \"label\": \"chicory seed\"},\n {\"box_2d\": [278, 720, 318, 748], \"label\": \"chicory seed\"},\n {\"box_2d\": [289, 743, 321, 777], \"label\": \"chicory seed\"},\n {\"box_2d\": [294, 303, 325, 342], \"label\": \"chicory seed\"},\n {\"box_2d\": [306, 259, 330, 300], \"label\": \"chicory seed\"},\n {\"box_2d\": [312, 208, 336, 250], \"label\": \"chicory seed\"},\n {\"box_2d\": [331, 214, 353, 257], \"label\": \"chicory seed\"},\n {\"box_2d\": [324, 284, 353, 322], \"label\": \"chicory seed\"},\n {\"box_2d\": [321, 312, 357, 345], \"label\": \"chicory seed\"},\n {\"box_2d\": [313, 356, 333, 399], \"label\": \"chicory seed\"},\n {\"box_2d\": [308, 395, 338, 435], \"label\": \"chicory seed\"},\n {\"box_2d\": [294, 442, 319, 484], \"label\": \"chicory seed\"},\n {\"box_2d\": [302, 496, 323, 540], \"label\": \"chicory seed\"},\n {\"box_2d\": [318, 534, 339, 578], \"label\": \"chicory seed\"},\n {\"box_2d\": [320, 443, 361, 466], \"label\": \"chicory seed\"},\n {\"box_2d\": [320, 465, 362, 492], \"label\": \"chicory seed\"},\n {\"box_2d\": [325, 498, 347, 543], \"label\": \"chicory seed\"},\n {\"box_2d\": [338, 491, 379, 512], \"label\": \"chicory seed\"},\n {\"box_2d\": [338, 537, 369, 582], \"label\": \"chicory seed\"},\n {\"box_2d\": [298, 612, 339, 640], \"label\": \"chicory seed\"},\n {\"box_2d\": [336, 615, 369, 651], \"label\": \"chicory seed\"},\n {\"box_2d\": [311, 697, 347, 735], \"label\": \"chicory seed\"},\n {\"box_2d\": [323, 717, 358, 752], \"label\": \"chicory seed\"},\n {\"box_2d\": [318, 754, 340, 797], \"label\": \"chicory seed\"},\n {\"box_2d\": [333, 795, 359, 835], \"label\": \"chicory seed\"},\n {\"box_2d\": [354, 819, 391, 853], \"label\": \"chicory seed\"},\n {\"box_2d\": [363, 801, 404, 823], \"label\": \"chicory seed\"},\n {\"box_2d\": [345, 244, 376, 285], \"label\": \"chicory seed\"},\n {\"box_2d\": [355, 267, 394, 300], \"label\": \"chicory seed\"},\n {\"box_2d\": [374, 278, 412, 311], \"label\": \"chicory seed\"},\n {\"box_2d\": [355, 300, 383, 339], \"label\": \"chicory seed\"},\n {\"box_2d\": [346, 342, 386, 371], \"label\": \"chicory seed\"},\n {\"box_2d\": [347, 364, 381, 398], \"label\": \"chicory seed\"},\n {\"box_2d\": [346, 421, 383, 459], \"label\": \"chicory seed\"},\n {\"box_2d\": [373, 381, 395, 420], \"label\": \"chicory seed\"},\n {\"box_2d\": [381, 365, 417, 396], \"label\": \"chicory seed\"},\n {\"box_2d\": [387, 405, 416, 443], \"label\": \"chicory seed\"},\n {\"box_2d\": [375, 471, 407, 509], \"label\": \"chicory seed\"},\n {\"box_2d\": [373, 614, 399, 658], \"label\": \"chicory seed\"},\n {\"box_2d\": [365, 678, 404, 709], \"label\": \"chicory seed\"},\n {\"box_2d\": [360, 695, 397, 733], \"label\": \"chicory seed\"},\n {\"box_2d\": [363, 730, 386, 773], \"label\": \"chicory seed\"},\n {\"box_2d\": [397, 655, 419, 697], \"label\": \"chicory seed\"},\n {\"box_2d\": [405, 719, 427, 763], \"label\": \"chicory seed\"},\n {\"box_2d\": [395, 767, 430, 805], \"label\": \"chicory seed\"},\n {\"box_2d\": [410, 169, 431, 214], \"label\": \"chicory seed\"},\n {\"box_2d\": [429, 171, 451, 212], \"label\": \"chicory seed\"},\n {\"box_2d\": [395, 217, 426, 256], \"label\": \"chicory seed\"},\n {\"box_2d\": [412, 219, 442, 260], \"label\": \"chicory seed\"},\n {\"box_2d\": [400, 252, 435, 289], \"label\": \"chicory seed\"},\n {\"box_2d\": [395, 290, 434, 321], \"label\": \"chicory seed\"},\n {\"box_2d\": [398, 307, 432, 346], \"label\": \"chicory seed\"},\n {\"box_2d\": [432, 230, 463, 270], \"label\": \"chicory seed\"},\n {\"box_2d\": [432, 283, 460, 323], \"label\": \"chicory seed\"},\n {\"box_2d\": [412, 336, 447, 375], \"label\": \"chicory seed\"},\n {\"box_2d\": [426, 364, 465, 388], \"label\": \"chicory seed\"},\n {\"box_2d\": [416, 392, 455, 418], \"label\": \"chicory seed\"},\n {\"box_2d\": [406, 416, 446, 446], \"label\": \"chicory seed\"},\n {\"box_2d\": [407, 436, 446, 469], \"label\": \"chicory seed\"},\n {\"box_2d\": [442, 425, 477, 461], \"label\": \"chicory seed\"},\n {\"box_2d\": [432, 478, 454, 522], \"label\": \"chicory seed\"},\n {\"box_2d\": [393, 531, 435, 558], \"label\": \"chicory seed\"},\n {\"box_2d\": [413, 555, 454, 578], \"label\": \"chicory seed\"},\n {\"box_2d\": [411, 575, 452, 597], \"label\": \"chicory seed\"},\n {\"box_2d\": [425, 594, 465, 621], \"label\": \"chicory seed\"},\n {\"box_2d\": [413, 610, 438, 654], \"label\": \"chicory seed\"},\n {\"box_2d\": [424, 650, 465, 678], \"label\": \"chicory seed\"},\n {\"box_2d\": [427, 679, 462, 711], \"label\": \"chicory seed\"},\n {\"box_2d\": [414, 686, 446, 722], \"label\": \"chicory seed\"},\n {\"box_2d\": [419, 751, 444, 793], \"label\": \"chicory seed\"},\n {\"box_2d\": [430, 743, 462, 784], \"label\": \"chicory seed\"},\n {\"box_2d\": [414, 830, 453, 865], \"label\": \"chicory seed\"},\n {\"box_2d\": [444, 856, 485, 882], \"label\": \"chicory seed\"},\n {\"box_2d\": [446, 187, 477, 227], \"label\": \"chicory seed\"},\n {\"box_2d\": [466, 195, 491, 236], \"label\": \"chicory seed\"},\n {\"box_2d\": [476, 162, 519, 184], \"label\": \"chicory seed\"},\n {\"box_2d\": [454, 235, 494, 265], \"label\": \"chicory seed\"},\n {\"box_2d\": [451, 264, 494, 287], \"label\": \"chicory seed\"},\n {\"box_2d\": [448, 298, 482, 338], \"label\": \"chicory seed\"},\n {\"box_2d\": [469, 300, 502, 338], \"label\": \"chicory seed\"},\n {\"box_2d\": [482, 314, 511, 357], \"label\": \"chicory seed\"},\n {\"box_2d\": [486, 227, 519, 267], \"label\": \"chicory seed\"},\n {\"box_2d\": [508, 230, 540, 268], \"label\": \"chicory seed\"},\n {\"box_2d\": [499, 272, 521, 315], \"label\": \"chicory seed\"},\n {\"box_2d\": [507, 264, 542, 303], \"label\": \"chicory seed\"},\n {\"box_2d\": [472, 364, 491, 407], \"label\": \"chicory seed\"},\n {\"box_2d\": [488, 363, 509, 405], \"label\": \"chicory seed\"},\n {\"box_2d\": [466, 403, 504, 435], \"label\": \"chicory seed\"},\n {\"box_2d\": [470, 441, 496, 482], \"label\": \"chicory seed\"},\n {\"box_2d\": [455, 462, 475, 505], \"label\": \"chicory seed\"},\n {\"box_2d\": [442, 499, 482, 528], \"label\": \"chicory seed\"},\n {\"box_2d\": [434, 520, 472, 555], \"label\": \"chicory seed\"},\n {\"box_2d\": [448, 535, 489, 570], \"label\": \"chicory seed\"},\n {\"box_2d\": [454, 555, 495, 588], \"label\": \"chicory seed\"},\n {\"box_2d\": [467, 567, 506, 604], \"label\": \"chicory seed\"},\n {\"box_2d\": [470, 513, 513, 536], \"label\": \"chicory seed\"},\n {\"box_2d\": [488, 463, 531, 488], \"label\": \"chicory seed\"},\n {\"box_2d\": [491, 482, 531, 507], \"label\": \"chicory seed\"},\n {\"box_2d\": [498, 424, 530, 464], \"label\": \"chicory seed\"},\n {\"box_2d\": [504, 392, 529, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [475, 597, 510, 636], \"label\": \"chicory seed\"},\n {\"box_2d\": [445, 638, 488, 661], \"label\": \"chicory seed\"},\n {\"box_2d\": [461, 676, 486, 720], \"label\": \"chicory seed\"},\n {\"box_2d\": [461, 721, 485, 764], \"label\": \"chicory seed\"},\n {\"box_2d\": [463, 754, 504, 781], \"label\": \"chicory seed\"},\n {\"box_2d\": [480, 714, 503, 756], \"label\": \"chicory seed\"},\n {\"box_2d\": [486, 657, 528, 683], \"label\": \"chicory seed\"},\n {\"box_2d\": [493, 681, 525, 721], \"label\": \"chicory seed\"},\n {\"box_2d\": [466, 796, 494, 839], \"label\": \"chicory seed\"},\n {\"box_2d\": [484, 797, 513, 840], \"label\": \"chicory seed\"},\n {\"box_2d\": [489, 764, 525, 802], \"label\": \"chicory seed\"},\n {\"box_2d\": [501, 726, 532, 769], \"label\": \"chicory seed\"},\n {\"box_2d\": [514, 719, 552, 760], \"label\": \"chicory seed\"},\n {\"box_2d\": [512, 792, 533, 836], \"label\": \"chicory seed\"},\n {\"box_2d\": [512, 856, 555, 879], \"label\": \"chicory seed\"},\n {\"box_2d\": [527, 173, 562, 212], \"label\": \"chicory seed\"},\n {\"box_2d\": [562, 210, 590, 252], \"label\": \"chicory seed\"},\n {\"box_2d\": [533, 245, 567, 286], \"label\": \"chicory seed\"},\n {\"box_2d\": [527, 302, 569, 325], \"label\": \"chicory seed\"},\n {\"box_2d\": [553, 286, 594, 315], \"label\": \"chicory seed\"},\n {\"box_2d\": [531, 319, 573, 350], \"label\": \"chicory seed\"},\n {\"box_2d\": [512, 328, 551, 356], \"label\": \"chicory seed\"},\n {\"box_2d\": [510, 341, 549, 378], \"label\": \"chicory seed\"},\n {\"box_2d\": [510, 366, 544, 405], \"label\": \"chicory seed\"},\n {\"box_2d\": [523, 402, 545, 444], \"label\": \"chicory seed\"},\n {\"box_2d\": [545, 347, 582, 373], \"label\": \"chicory seed\"},\n {\"box_2d\": [544, 367, 565, 409], \"label\": \"chicory seed\"},\n {\"box_2d\": [557, 405, 592, 444], \"label\": \"chicory seed\"},\n {\"box_2d\": [547, 427, 568, 472], \"label\": \"chicory seed\"},\n {\"box_2d\": [513, 500, 533, 541], \"label\": \"chicory seed\"},\n {\"box_2d\": [498, 537, 523, 579], \"label\": \"chicory seed\"},\n {\"box_2d\": [507, 578, 549, 601], \"label\": \"chicory seed\"},\n {\"box_2d\": [506, 602, 547, 625], \"label\": \"chicory seed\"},\n {\"box_2d\": [518, 543, 554, 583], \"label\": \"chicory seed\"},\n {\"box_2d\": [534, 534, 572, 573], \"label\": \"chicory seed\"},\n {\"box_2d\": [530, 500, 575, 524], \"label\": \"chicory seed\"},\n {\"box_2d\": [543, 476, 584, 505], \"label\": \"chicory seed\"},\n {\"box_2d\": [556, 466, 600, 492], \"label\": \"chicory seed\"},\n {\"box_2d\": [550, 525, 592, 560], \"label\": \"chicory seed\"},\n {\"box_2d\": [544, 574, 572, 616], \"label\": \"chicory seed\"},\n {\"box_2d\": [526, 622, 549, 665], \"label\": \"chicory seed\"},\n {\"box_2d\": [526, 665, 556, 706], \"label\": \"chicory seed\"},\n {\"box_2d\": [524, 704, 566, 738], \"label\": \"chicory seed\"},\n {\"box_2d\": [548, 669, 576, 713], \"label\": \"chicory seed\"},\n {\"box_2d\": [531, 763, 553, 807], \"label\": \"chicory seed\"},\n {\"box_2d\": [533, 811, 565, 852], \"label\": \"chicory seed\"},\n {\"box_2d\": [552, 783, 588, 822], \"label\": \"chicory seed\"},\n {\"box_2d\": [566, 755, 593, 798], \"label\": \"chicory seed\"},\n {\"box_2d\": [564, 623, 591, 667], \"label\": \"chicory seed\"},\n {\"box_2d\": [566, 581, 590, 625], \"label\": \"chicory seed\"},\n {\"box_2d\": [570, 558, 608, 590], \"label\": \"chicory seed\"},\n {\"box_2d\": [574, 255, 605, 295], \"label\": \"chicory seed\"},\n {\"box_2d\": [606, 258, 640, 295], \"label\": \"chicory seed\"},\n {\"box_2d\": [574, 319, 594, 364], \"label\": \"chicory seed\"},\n {\"box_2d\": [588, 311, 611, 355], \"label\": \"chicory seed\"},\n {\"box_2d\": [604, 307, 639, 349], \"label\": \"chicory seed\"},\n {\"box_2d\": [616, 297, 658, 320], \"label\": \"chicory seed\"},\n {\"box_2d\": [568, 371, 593, 412], \"label\": \"chicory seed\"},\n {\"box_2d\": [581, 365, 616, 405], \"label\": \"chicory seed\"},\n {\"box_2d\": [589, 352, 633, 374], \"label\": \"chicory seed\"},\n {\"box_2d\": [585, 404, 615, 444], \"label\": \"chicory seed\"},\n {\"box_2d\": [606, 392, 629, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [612, 366, 651, 393], \"label\": \"chicory seed\"},\n {\"box_2d\": [616, 410, 646, 451], \"label\": \"chicory seed\"},\n {\"box_2d\": [577, 444, 618, 467], \"label\": \"chicory seed\"},\n {\"box_2d\": [601, 452, 627, 495], \"label\": \"chicory seed\"},\n {\"box_2d\": [578, 495, 601, 538], \"label\": \"chicory seed\"},\n {\"box_2d\": [594, 490, 617, 526], \"label\": \"chicory seed\"},\n {\"box_2d\": [592, 524, 621, 567], \"label\": \"chicory seed\"},\n {\"box_2d\": [614, 488, 647, 528], \"label\": \"chicory seed\"},\n {\"box_2d\": [616, 524, 646, 568], \"label\": \"chicory seed\"},\n {\"box_2d\": [590, 589, 625, 629], \"label\": \"chicory seed\"},\n {\"box_2d\": [582, 620, 618, 661], \"label\": \"chicory seed\"},\n {\"box_2d\": [580, 660, 623, 684], \"label\": \"chicory seed\"},\n {\"box_2d\": [584, 677, 626, 709], \"label\": \"chicory seed\"},\n {\"box_2d\": [574, 686, 614, 720], \"label\": \"chicory seed\"},\n {\"box_2d\": [567, 712, 609, 736], \"label\": \"chicory seed\"},\n {\"box_2d\": [566, 735, 609, 759], \"label\": \"chicory seed\"},\n {\"box_2d\": [589, 759, 619, 801], \"label\": \"chicory seed\"},\n {\"box_2d\": [601, 644, 642, 667], \"label\": \"chicory seed\"},\n {\"box_2d\": [622, 591, 645, 634], \"label\": \"chicory seed\"},\n {\"box_2d\": [609, 710, 632, 755], \"label\": \"chicory seed\"},\n {\"box_2d\": [614, 756, 635, 800], \"label\": \"chicory seed\"},\n {\"box_2d\": [590, 802, 625, 842], \"label\": \"chicory seed\"},\n {\"box_2d\": [572, 845, 613, 869], \"label\": \"chicory seed\"},\n {\"box_2d\": [630, 792, 655, 837], \"label\": \"chicory seed\"},\n {\"box_2d\": [640, 216, 683, 240], \"label\": \"chicory seed\"},\n {\"box_2d\": [639, 315, 676, 353], \"label\": \"chicory seed\"},\n {\"box_2d\": [648, 338, 684, 377], \"label\": \"chicory seed\"},\n {\"box_2d\": [629, 376, 669, 407], \"label\": \"chicory seed\"},\n {\"box_2d\": [668, 349, 703, 387], \"label\": \"chicory seed\"},\n {\"box_2d\": [654, 386, 695, 410], \"label\": \"chicory seed\"},\n {\"box_2d\": [650, 412, 693, 437], \"label\": \"chicory seed\"},\n {\"box_2d\": [659, 427, 700, 455], \"label\": \"chicory seed\"},\n {\"box_2d\": [623, 436, 659, 474], \"label\": \"chicory seed\"},\n {\"box_2d\": [622, 459, 663, 491], \"label\": \"chicory seed\"},\n {\"box_2d\": [634, 476, 677, 501], \"label\": \"chicory seed\"},\n {\"box_2d\": [642, 496, 683, 521], \"label\": \"chicory seed\"},\n {\"box_2d\": [654, 514, 694, 545], \"label\": \"chicory seed\"},\n {\"box_2d\": [631, 544, 663, 586], \"label\": \"chicory seed\"},\n {\"box_2d\": [644, 571, 678, 610], \"label\": \"chicory seed\"},\n {\"box_2d\": [664, 560, 692, 602], \"label\": \"chicory seed\"},\n {\"box_2d\": [641, 610, 671, 652], \"label\": \"chicory seed\"},\n {\"box_2d\": [622, 661, 663, 686], \"label\": \"chicory seed\"},\n {\"box_2d\": [647, 634, 676, 674], \"label\": \"chicory seed\"},\n {\"box_2d\": [639, 677, 682, 702], \"label\": \"chicory seed\"},\n {\"box_2d\": [628, 717, 649, 761], \"label\": \"chicory seed\"},\n {\"box_2d\": [646, 712, 667, 757], \"label\": \"chicory seed\"},\n {\"box_2d\": [635, 760, 671, 798], \"label\": \"chicory seed\"},\n {\"box_2d\": [661, 717, 692, 760], \"label\": \"chicory seed\"},\n {\"box_2d\": [679, 698, 703, 743], \"label\": \"chicory seed\"},\n {\"box_2d\": [671, 641, 707, 681], \"label\": \"chicory seed\"},\n {\"box_2d\": [682, 608, 721, 644], \"label\": \"chicory seed\"},\n {\"box_2d\": [680, 789, 720, 817], \"label\": \"chicory seed\"},\n {\"box_2d\": [684, 291, 710, 332], \"label\": \"chicory seed\"},\n {\"box_2d\": [696, 233, 729, 272], \"label\": \"chicory seed\"},\n {\"box_2d\": [701, 271, 743, 297], \"label\": \"chicory seed\"},\n {\"box_2d\": [723, 289, 765, 315], \"label\": \"chicory seed\"},\n {\"box_2d\": [708, 315, 749, 339], \"label\": \"chicory seed\"},\n {\"box_2d\": [726, 336, 747, 378], \"label\": \"chicory seed\"},\n {\"box_2d\": [739, 252, 772, 292], \"label\": \"chicory seed\"},\n {\"box_2d\": [763, 286, 782, 331], \"label\": \"chicory seed\"},\n {\"box_2d\": [668, 453, 703, 491], \"label\": \"chicory seed\"},\n {\"box_2d\": [681, 492, 720, 519], \"label\": \"chicory seed\"},\n {\"box_2d\": [700, 514, 741, 545], \"label\": \"chicory seed\"},\n {\"box_2d\": [689, 542, 711, 587], \"label\": \"chicory seed\"},\n {\"box_2d\": [710, 461, 750, 492], \"label\": \"chicory seed\"},\n {\"box_2d\": [717, 489, 745, 532], \"label\": \"chicory seed\"},\n {\"box_2d\": [719, 413, 740, 455], \"label\": \"chicory seed\"},\n {\"box_2d\": [733, 386, 775, 409], \"label\": \"chicory seed\"},\n {\"box_2d\": [741, 488, 761, 531], \"label\": \"chicory seed\"},\n {\"box_2d\": [746, 448, 774, 490], \"label\": \"chicory seed\"},\n {\"box_2d\": [758, 482, 787, 524], \"label\": \"chicory seed\"},\n {\"box_2d\": [711, 562, 750, 599], \"label\": \"chicory seed\"},\n {\"box_2d\": [721, 582, 754, 624], \"label\": \"chicory seed\"},\n {\"box_2d\": [739, 538, 779, 560], \"label\": \"chicory seed\"},\n {\"box_2d\": [697, 680, 716, 722], \"label\": \"chicory seed\"},\n {\"box_2d\": [700, 717, 729, 759], \"label\": \"chicory seed\"},\n {\"box_2d\": [723, 661, 744, 705], \"label\": \"chicory seed\"},\n {\"box_2d\": [737, 691, 757, 737], \"label\": \"chicory seed\"},\n {\"box_2d\": [724, 734, 768, 756], \"label\": \"chicory seed\"},\n {\"box_2d\": [746, 645, 773, 686], \"label\": \"chicory seed\"},\n {\"box_2d\": [749, 595, 784, 629], \"label\": \"chicory seed\"},\n {\"box_2d\": [769, 316, 807, 349], \"label\": \"chicory seed\"},\n {\"box_2d\": [764, 360, 786, 403], \"label\": \"chicory seed\"},\n {\"box_2d\": [795, 360, 815, 402], \"label\": \"chicory seed\"},\n {\"box_2d\": [812, 357, 837, 400], \"label\": \"chicory seed\"},\n {\"box_2d\": [775, 405, 818, 430], \"label\": \"chicory seed\"},\n {\"box_2d\": [775, 441, 818, 463], \"label\": \"chicory seed\"},\n {\"box_2d\": [768, 458, 811, 485], \"label\": \"chicory seed\"},\n {\"box_2d\": [789, 488, 830, 516], \"label\": \"chicory seed\"},\n {\"box_2d\": [785, 517, 813, 560], \"label\": \"chicory seed\"},\n {\"box_2d\": [814, 535, 835, 583], \"label\": \"chicory seed\"},\n {\"box_2d\": [770, 608, 810, 633], \"label\": \"chicory seed\"},\n {\"box_2d\": [759, 633, 795, 669], \"label\": \"chicory seed\"},\n {\"box_2d\": [776, 671, 800, 714], \"label\": \"chicory seed\"},\n {\"box_2d\": [795, 655, 818, 699], \"label\": \"chicory seed\"},\n {\"box_2d\": [794, 637, 833, 659], \"label\": \"chicory seed\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 18544, "elapsed_seconds": 106.24964079202618, "metadata": {"match_method": "map", "num_predictions": 300, "num_ground_truth": 299, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3366336524486542, "attempts": 1, "retries": 0, "total_seconds": 106.3841}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 219, "image": "66_png.rf.39bf6d177f61078e6d35cc7449f636fc.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [33, 259, 94, 309], \"label\": \"not gate symbol\"},\n {\"box_2d\": [248, 109, 321, 152], \"label\": \"not gate symbol\"},\n {\"box_2d\": [248, 162, 321, 205], \"label\": \"not gate symbol\"},\n {\"box_2d\": [410, 504, 483, 546], \"label\": \"not gate symbol\"},\n {\"box_2d\": [659, 259, 720, 309], \"label\": \"not gate symbol\"},\n {\"box_2d\": [905, 259, 966, 309], \"label\": \"not gate symbol\"},\n {\"box_2d\": [156, 252, 237, 332], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [326, 252, 408, 332], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [173, 567, 256, 646], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [478, 567, 560, 646], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [630, 567, 711, 646], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [781, 567, 864, 646], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [554, 777, 635, 856], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [801, 777, 882, 856], \"label\": \"nand gate symbol\"}\n]\n```", "correct": true, "input_tokens": 1222, "output_tokens": 1501, "elapsed_seconds": 11.646812499966472, "metadata": {"match_method": "map", "num_predictions": 14, "num_ground_truth": 14, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 11.6537}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 220, "image": "car-part-detection_Car-damages-1497_png_jpg.rf.e852cda680508c1a167266952897c9ec.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [540, 82, 755, 179], \"label\": \"back bumper\"},\n {\"box_2d\": [427, 97, 546, 166], \"label\": \"tail light\"},\n {\"box_2d\": [254, 118, 410, 205], \"label\": \"back windshield\"},\n {\"box_2d\": [248, 251, 424, 475], \"label\": \"back window\"},\n {\"box_2d\": [238, 232, 735, 504], \"label\": \"back door\"},\n {\"box_2d\": [251, 507, 462, 750], \"label\": \"front window\"},\n {\"box_2d\": [239, 490, 730, 783], \"label\": \"front door\"},\n {\"box_2d\": [400, 737, 461, 767], \"label\": \"mirror\"},\n {\"box_2d\": [450, 898, 540, 976], \"label\": \"headlight\"},\n {\"box_2d\": [529, 931, 744, 992], \"label\": \"front bumper\"},\n {\"box_2d\": [381, 822, 478, 953], \"label\": \"hood\"}\n]\n```", "correct": true, "input_tokens": 1232, "output_tokens": 1044, "elapsed_seconds": 10.936109625035897, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 14, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8754124641418457, "attempts": 1, "retries": 0, "total_seconds": 10.9513}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 221, "image": "51_jpg.rf.058febb668fb3dcd1ddaf96ac46d336e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [64, 192, 383, 245], \"label\": \"blood sample tube\"},\n {\"box_2d\": [148, 231, 397, 425], \"label\": \"blood sample tube\"},\n {\"box_2d\": [48, 281, 162, 520], \"label\": \"blood sample tube\"},\n {\"box_2d\": [42, 469, 108, 709], \"label\": \"blood sample tube\"},\n {\"box_2d\": [38, 708, 100, 956], \"label\": \"blood sample tube\"},\n {\"box_2d\": [91, 661, 156, 916], \"label\": \"blood sample tube\"},\n {\"box_2d\": [106, 522, 223, 761], \"label\": \"blood sample tube\"},\n {\"box_2d\": [167, 569, 300, 811], \"label\": \"blood sample tube\"},\n {\"box_2d\": [167, 431, 319, 661], \"label\": \"blood sample tube\"},\n {\"box_2d\": [117, 777, 378, 961], \"label\": \"blood sample tube\"},\n {\"box_2d\": [181, 861, 497, 970], \"label\": \"blood sample tube\"},\n {\"box_2d\": [280, 652, 567, 814], \"label\": \"blood sample tube\"},\n {\"box_2d\": [381, 472, 656, 642], \"label\": \"blood sample tube\"},\n {\"box_2d\": [270, 281, 569, 408], \"label\": \"blood sample tube\"},\n {\"box_2d\": [350, 197, 634, 338], \"label\": \"blood sample tube\"},\n {\"box_2d\": [525, 327, 631, 567], \"label\": \"blood sample tube\"},\n {\"box_2d\": [584, 331, 694, 572], \"label\": \"blood sample tube\"},\n {\"box_2d\": [656, 195, 761, 444], \"label\": \"blood sample tube\"},\n {\"box_2d\": [689, 412, 758, 656], \"label\": \"blood sample tube\"},\n {\"box_2d\": [484, 612, 669, 850], \"label\": \"blood sample tube\"},\n {\"box_2d\": [584, 645, 756, 888], \"label\": \"blood sample tube\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 2128, "elapsed_seconds": 17.581904541002586, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 21, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 17.6011}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 222, "image": "161056d_JPG_jpg.rf.9a7d680b73d40b7f57e4788c75d35faa.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [262, 395, 351, 530], \"label\": \"cracked insulator\"},\n {\"box_2d\": [468, 393, 561, 520], \"label\": \"cracked insulator\"}\n]\n```", "correct": false, "input_tokens": 1217, "output_tokens": 2046, "elapsed_seconds": 31.869480209075846, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5049505233764648, "attempts": 1, "retries": 0, "total_seconds": 32.423}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 223, "image": "signatures_image_176_png_jpg.rf.ba5b095c7ba79857b44be19e553b8621.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [529, 183, 581, 260], \"label\": \"signature\"},\n {\"box_2d\": [576, 183, 613, 221], \"label\": \"signature\"},\n {\"box_2d\": [562, 452, 598, 489], \"label\": \"signature\"},\n {\"box_2d\": [551, 655, 591, 718], \"label\": \"signature\"},\n {\"box_2d\": [591, 805, 635, 897], \"label\": \"signature\"}\n]\n```", "correct": true, "input_tokens": 1228, "output_tokens": 728, "elapsed_seconds": 12.54262508393731, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 12.7177}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 224, "image": "floorplan-windows-doors_10363_png.rf.022a393bcce41347db46c0ae8f821ac1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [172, 246, 229, 309], \"label\": \"door\"},\n {\"box_2d\": [205, 309, 244, 357], \"label\": \"door\"},\n {\"box_2d\": [245, 384, 293, 440], \"label\": \"door\"},\n {\"box_2d\": [166, 441, 223, 502], \"label\": \"door\"},\n {\"box_2d\": [257, 526, 305, 583], \"label\": \"door\"},\n {\"box_2d\": [167, 637, 222, 764], \"label\": \"door\"},\n {\"box_2d\": [533, 634, 590, 712], \"label\": \"door\"},\n {\"box_2d\": [598, 309, 642, 360], \"label\": \"door\"},\n {\"box_2d\": [641, 366, 701, 437], \"label\": \"door\"},\n {\"box_2d\": [731, 368, 795, 422], \"label\": \"door\"},\n {\"box_2d\": [109, 80, 193, 102], \"label\": \"window\"},\n {\"box_2d\": [328, 80, 359, 102], \"label\": \"window\"},\n {\"box_2d\": [128, 691, 167, 712], \"label\": \"window\"},\n {\"box_2d\": [283, 685, 319, 711], \"label\": \"window\"},\n {\"box_2d\": [459, 77, 590, 97], \"label\": \"window\"},\n {\"box_2d\": [485, 692, 535, 713], \"label\": \"window\"},\n {\"box_2d\": [596, 691, 672, 713], \"label\": \"window\"}\n]\n```", "correct": true, "input_tokens": 1223, "output_tokens": 2763, "elapsed_seconds": 25.033538208925165, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 19, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8717821836471558, "attempts": 1, "retries": 0, "total_seconds": 25.07}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 225, "image": "paper-parts_194472_30_jpg.rf.b0a602d4dcc7284ce0bac985bedfd7a6.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [93, 176, 213, 882], \"label\": \"paragraph\"},\n {\"box_2d\": [232, 176, 248, 417], \"label\": \"paragraph\"},\n {\"box_2d\": [267, 176, 353, 882], \"label\": \"paragraph\"},\n {\"box_2d\": [378, 419, 529, 699], \"label\": \"figure\"},\n {\"box_2d\": [552, 446, 568, 671], \"label\": \"figure caption\"},\n {\"box_2d\": [586, 235, 613, 682], \"label\": \"paragraph\"},\n {\"box_2d\": [629, 402, 661, 654], \"label\": \"equation\"},\n {\"box_2d\": [669, 453, 685, 604], \"label\": \"equation\"},\n {\"box_2d\": [704, 456, 731, 882], \"label\": \"equation\"},\n {\"box_2d\": [748, 176, 798, 882], \"label\": \"paragraph\"},\n {\"box_2d\": [818, 235, 850, 646], \"label\": \"paragraph\"},\n {\"box_2d\": [868, 390, 883, 667], \"label\": \"equation\"},\n {\"box_2d\": [885, 521, 900, 539], \"label\": \"page number\"}\n]\n```", "correct": false, "input_tokens": 1248, "output_tokens": 6238, "elapsed_seconds": 58.335174957988784, "metadata": {"match_method": "map", "num_predictions": 13, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6881187558174133, "attempts": 2, "retries": 1, "total_seconds": 121.5467, "transient_errors": ["RemoteProtocolError"]}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 226, "image": "IMG_6641_jpeg_jpg.rf.d4a1ba083ff18ae1c9807cc69a86b03e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [569, 4, 598, 198], \"label\": \"blue poker chip\"},\n {\"box_2d\": [593, 3, 616, 196], \"label\": \"blue poker chip\"},\n {\"box_2d\": [609, 3, 634, 196], \"label\": \"blue poker chip\"},\n {\"box_2d\": [626, 2, 652, 195], \"label\": \"blue poker chip\"},\n {\"box_2d\": [643, 1, 670, 195], \"label\": \"blue poker chip\"},\n {\"box_2d\": [660, 1, 688, 195], \"label\": \"blue poker chip\"},\n {\"box_2d\": [675, 1, 706, 196], \"label\": \"blue poker chip\"},\n {\"box_2d\": [513, 198, 533, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [530, 198, 549, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [546, 197, 566, 379], \"label\": \"green poker chip\"},\n {\"box_2d\": [562, 197, 584, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [579, 196, 601, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [594, 196, 618, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [610, 195, 636, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [627, 196, 654, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [642, 196, 672, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [659, 195, 690, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [675, 195, 709, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [429, 383, 451, 561], \"label\": \"red poker chip\"},\n {\"box_2d\": [446, 384, 466, 561], \"label\": \"red poker chip\"},\n {\"box_2d\": [463, 384, 483, 562], \"label\": \"red poker chip\"},\n {\"box_2d\": [480, 385, 500, 562], \"label\": \"red poker chip\"},\n {\"box_2d\": [497, 384, 515, 563], \"label\": \"red poker chip\"},\n {\"box_2d\": [513, 383, 533, 563], \"label\": \"red poker chip\"},\n {\"box_2d\": [530, 383, 549, 563], \"label\": \"red poker chip\"},\n {\"box_2d\": [546, 384, 566, 564], \"label\": \"red poker chip\"},\n {\"box_2d\": [562, 385, 584, 565], \"label\": \"red poker chip\"},\n {\"box_2d\": [578, 385, 601, 565], \"label\": \"red poker chip\"},\n {\"box_2d\": [594, 386, 618, 565], \"label\": \"red poker chip\"},\n {\"box_2d\": [610, 386, 636, 565], \"label\": \"red poker chip\"},\n {\"box_2d\": [626, 386, 654, 566], \"label\": \"red poker chip\"},\n {\"box_2d\": [643, 385, 672, 567], \"label\": \"red poker chip\"},\n {\"box_2d\": [659, 385, 690, 567], \"label\": \"red poker chip\"},\n {\"box_2d\": [675, 386, 709, 568], \"label\": \"red poker chip\"},\n {\"box_2d\": [551, 568, 576, 757], \"label\": \"white poker chip\"},\n {\"box_2d\": [572, 569, 594, 758], \"label\": \"white poker chip\"},\n {\"box_2d\": [588, 570, 611, 759], \"label\": \"white poker chip\"},\n {\"box_2d\": [604, 571, 629, 759], \"label\": \"white poker chip\"},\n {\"box_2d\": [621, 572, 648, 760], \"label\": \"white poker chip\"},\n {\"box_2d\": [638, 572, 666, 760], \"label\": \"white poker chip\"},\n {\"box_2d\": [654, 572, 684, 761], \"label\": \"white poker chip\"},\n {\"box_2d\": [670, 572, 702, 762], \"label\": \"white poker chip\"},\n {\"box_2d\": [555, 755, 616, 958], \"label\": \"orange poker chip\"},\n {\"box_2d\": [590, 758, 635, 959], \"label\": \"orange poker chip\"},\n {\"box_2d\": [609, 758, 652, 959], \"label\": \"orange poker chip\"},\n {\"box_2d\": [625, 759, 671, 960], \"label\": \"orange poker chip\"},\n {\"box_2d\": [642, 759, 689, 962], \"label\": \"orange poker chip\"},\n {\"box_2d\": [659, 761, 707, 963], \"label\": \"orange poker chip\"},\n {\"box_2d\": [675, 761, 725, 963], \"label\": \"orange poker chip\"}\n]\n```", "correct": true, "input_tokens": 1243, "output_tokens": 3612, "elapsed_seconds": 24.459471750073135, "metadata": {"match_method": "map", "num_predictions": 49, "num_ground_truth": 49, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 24.4785}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 227, "image": "69_jpg.rf.832734e487772068d6b9bf469788de8f.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [14, 638, 323, 750], \"label\": \"blood sample tube\"},\n {\"box_2d\": [80, 588, 402, 637], \"label\": \"blood sample tube\"},\n {\"box_2d\": [349, 281, 411, 519], \"label\": \"blood sample tube\"},\n {\"box_2d\": [439, 495, 520, 736], \"label\": \"blood sample tube\"},\n {\"box_2d\": [535, 483, 746, 700], \"label\": \"blood sample tube\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 578, "elapsed_seconds": 6.263546500005759, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 6.2797}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 228, "image": "uav20221018_ixfZ_3857_431_png.rf.d4d8056faccd6284b96584515af21de0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 238, 38, 287], \"label\": \"banana tree\"},\n {\"box_2d\": [31, 181, 82, 227], \"label\": \"banana tree\"},\n {\"box_2d\": [69, 250, 104, 281], \"label\": \"banana tree\"},\n {\"box_2d\": [0, 431, 49, 474], \"label\": \"banana tree\"},\n {\"box_2d\": [33, 492, 82, 532], \"label\": \"banana tree\"},\n {\"box_2d\": [72, 424, 118, 480], \"label\": \"banana tree\"},\n {\"box_2d\": [109, 496, 141, 526], \"label\": \"banana tree\"},\n {\"box_2d\": [138, 434, 182, 482], \"label\": \"banana tree\"},\n {\"box_2d\": [175, 494, 215, 538], \"label\": \"banana tree\"},\n {\"box_2d\": [209, 438, 252, 488], \"label\": \"banana tree\"},\n {\"box_2d\": [242, 492, 288, 533], \"label\": \"banana tree\"},\n {\"box_2d\": [0, 708, 32, 750], \"label\": \"banana tree\"},\n {\"box_2d\": [18, 661, 61, 699], \"label\": \"banana tree\"},\n {\"box_2d\": [54, 712, 100, 757], \"label\": \"banana tree\"},\n {\"box_2d\": [88, 661, 128, 703], \"label\": \"banana tree\"},\n {\"box_2d\": [122, 715, 165, 762], \"label\": \"banana tree\"},\n {\"box_2d\": [162, 668, 202, 702], \"label\": \"banana tree\"},\n {\"box_2d\": [194, 716, 236, 755], \"label\": \"banana tree\"},\n {\"box_2d\": [228, 672, 269, 706], \"label\": \"banana tree\"},\n {\"box_2d\": [264, 722, 303, 756], \"label\": \"banana tree\"},\n {\"box_2d\": [303, 674, 345, 709], \"label\": \"banana tree\"},\n {\"box_2d\": [333, 725, 376, 764], \"label\": \"banana tree\"},\n {\"box_2d\": [374, 672, 412, 707], \"label\": \"banana tree\"},\n {\"box_2d\": [0, 954, 24, 991], \"label\": \"banana tree\"},\n {\"box_2d\": [38, 904, 72, 938], \"label\": \"banana tree\"},\n {\"box_2d\": [65, 958, 109, 997], \"label\": \"banana tree\"},\n {\"box_2d\": [109, 901, 151, 941], \"label\": \"banana tree\"},\n {\"box_2d\": [138, 954, 179, 998], \"label\": \"banana tree\"},\n {\"box_2d\": [178, 914, 215, 953], \"label\": \"banana tree\"},\n {\"box_2d\": [206, 962, 256, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [252, 922, 288, 954], \"label\": \"banana tree\"},\n {\"box_2d\": [275, 970, 322, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [318, 923, 360, 963], \"label\": \"banana tree\"},\n {\"box_2d\": [350, 973, 389, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [387, 932, 431, 967], \"label\": \"banana tree\"},\n {\"box_2d\": [418, 981, 456, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [458, 934, 498, 974], \"label\": \"banana tree\"},\n {\"box_2d\": [524, 937, 562, 971], \"label\": \"banana tree\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 2683, "elapsed_seconds": 23.784129375009798, "metadata": {"match_method": "map", "num_predictions": 38, "num_ground_truth": 38, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 23.8626}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 229, "image": "f39_jpg.rf.8a677bbf5bbbcde071dc3887db6e2b75.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [373, 429, 603, 591], \"label\": \"wildfire\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 1100, "elapsed_seconds": 15.668923459015787, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 15.7522}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 230, "image": "wood-log-detection_003_png_jpg.rf.34aeb3fc6262ec00696c0cc722964b3e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [50, 416, 79, 458], \"label\": \"log cross-section\"},\n {\"box_2d\": [55, 274, 91, 320], \"label\": \"log cross-section\"},\n {\"box_2d\": [74, 353, 105, 394], \"label\": \"log cross-section\"},\n {\"box_2d\": [85, 247, 117, 290], \"label\": \"log cross-section\"},\n {\"box_2d\": [88, 294, 123, 336], \"label\": \"log cross-section\"},\n {\"box_2d\": [83, 328, 109, 358], \"label\": \"log cross-section\"},\n {\"box_2d\": [103, 333, 138, 380], \"label\": \"log cross-section\"},\n {\"box_2d\": [100, 408, 130, 443], \"label\": \"log cross-section\"},\n {\"box_2d\": [111, 447, 141, 485], \"label\": \"log cross-section\"},\n {\"box_2d\": [111, 484, 148, 530], \"label\": \"log cross-section\"},\n {\"box_2d\": [108, 532, 139, 575], \"label\": \"log cross-section\"},\n {\"box_2d\": [109, 575, 148, 623], \"label\": \"log cross-section\"},\n {\"box_2d\": [81, 608, 122, 658], \"label\": \"log cross-section\"},\n {\"box_2d\": [124, 672, 159, 720], \"label\": \"log cross-section\"},\n {\"box_2d\": [109, 215, 138, 254], \"label\": \"log cross-section\"},\n {\"box_2d\": [119, 261, 150, 304], \"label\": \"log cross-section\"},\n {\"box_2d\": [128, 171, 168, 222], \"label\": \"log cross-section\"},\n {\"box_2d\": [140, 224, 175, 274], \"label\": \"log cross-section\"},\n {\"box_2d\": [147, 287, 179, 327], \"label\": \"log cross-section\"},\n {\"box_2d\": [134, 323, 171, 371], \"label\": \"log cross-section\"},\n {\"box_2d\": [136, 376, 169, 413], \"label\": \"log cross-section\"},\n {\"box_2d\": [142, 407, 178, 448], \"label\": \"log cross-section\"},\n {\"box_2d\": [138, 453, 168, 490], \"label\": \"log cross-section\"},\n {\"box_2d\": [140, 490, 175, 536], \"label\": \"log cross-section\"},\n {\"box_2d\": [134, 529, 168, 569], \"label\": \"log cross-section\"},\n {\"box_2d\": [141, 597, 180, 646], \"label\": \"log cross-section\"},\n {\"box_2d\": [135, 636, 169, 667], \"label\": \"log cross-section\"},\n {\"box_2d\": [167, 643, 198, 682], \"label\": \"log cross-section\"},\n {\"box_2d\": [166, 154, 195, 200], \"label\": \"log cross-section\"},\n {\"box_2d\": [187, 157, 221, 209], \"label\": \"log cross-section\"},\n {\"box_2d\": [168, 202, 202, 251], \"label\": \"log cross-section\"},\n {\"box_2d\": [163, 254, 194, 294], \"label\": \"log cross-section\"},\n {\"box_2d\": [199, 210, 238, 267], \"label\": \"log cross-section\"},\n {\"box_2d\": [197, 278, 226, 316], \"label\": \"log cross-section\"},\n {\"box_2d\": [201, 309, 242, 360], \"label\": \"log cross-section\"},\n {\"box_2d\": [175, 340, 203, 378], \"label\": \"log cross-section\"},\n {\"box_2d\": [199, 362, 234, 408], \"label\": \"log cross-section\"},\n {\"box_2d\": [181, 395, 209, 431], \"label\": \"log cross-section\"},\n {\"box_2d\": [177, 430, 205, 469], \"label\": \"log cross-section\"},\n {\"box_2d\": [205, 412, 232, 448], \"label\": \"log cross-section\"},\n {\"box_2d\": [222, 398, 248, 435], \"label\": \"log cross-section\"},\n {\"box_2d\": [200, 449, 234, 493], \"label\": \"log cross-section\"},\n {\"box_2d\": [188, 484, 217, 525], \"label\": \"log cross-section\"},\n {\"box_2d\": [184, 525, 205, 558], \"label\": \"log cross-section\"},\n {\"box_2d\": [197, 524, 230, 562], \"label\": \"log cross-section\"},\n {\"box_2d\": [175, 564, 207, 599], \"label\": \"log cross-section\"},\n {\"box_2d\": [186, 596, 220, 642], \"label\": \"log cross-section\"},\n {\"box_2d\": [197, 657, 226, 695], \"label\": \"log cross-section\"},\n {\"box_2d\": [180, 672, 207, 705], \"label\": \"log cross-section\"},\n {\"box_2d\": [205, 682, 241, 728], \"label\": \"log cross-section\"},\n {\"box_2d\": [233, 178, 260, 217], \"label\": \"log cross-section\"},\n {\"box_2d\": [235, 354, 271, 405], \"label\": \"log cross-section\"},\n {\"box_2d\": [230, 436, 268, 490], \"label\": \"log cross-section\"},\n {\"box_2d\": [231, 488, 265, 528], \"label\": \"log cross-section\"},\n {\"box_2d\": [219, 558, 248, 594], \"label\": \"log cross-section\"},\n {\"box_2d\": [247, 539, 286, 586], \"label\": \"log cross-section\"},\n {\"box_2d\": [224, 609, 262, 655], \"label\": \"log cross-section\"},\n {\"box_2d\": [254, 585, 290, 631], \"label\": \"log cross-section\"},\n {\"box_2d\": [259, 636, 297, 682], \"label\": \"log cross-section\"},\n {\"box_2d\": [241, 678, 275, 721], \"label\": \"log cross-section\"},\n {\"box_2d\": [303, 209, 333, 252], \"label\": \"log cross-section\"},\n {\"box_2d\": [294, 250, 323, 291], \"label\": \"log cross-section\"},\n {\"box_2d\": [293, 296, 323, 338], \"label\": \"log cross-section\"},\n {\"box_2d\": [331, 267, 350, 304], \"label\": \"log cross-section\"},\n {\"box_2d\": [323, 304, 349, 342], \"label\": \"log cross-section\"},\n {\"box_2d\": [309, 344, 339, 383], \"label\": \"log cross-section\"},\n {\"box_2d\": [326, 372, 349, 419], \"label\": \"log cross-section\"},\n {\"box_2d\": [300, 412, 331, 456], \"label\": \"log cross-section\"},\n {\"box_2d\": [305, 462, 334, 498], \"label\": \"log cross-section\"},\n {\"box_2d\": [301, 508, 339, 553], \"label\": \"log cross-section\"},\n {\"box_2d\": [321, 553, 344, 594], \"label\": \"log cross-section\"},\n {\"box_2d\": [309, 595, 339, 635], \"label\": \"log cross-section\"},\n {\"box_2d\": [301, 653, 330, 691], \"label\": \"log cross-section\"}\n]\n```", "correct": true, "input_tokens": 1228, "output_tokens": 5177, "elapsed_seconds": 44.09137945889961, "metadata": {"match_method": "map", "num_predictions": 73, "num_ground_truth": 78, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9306930899620056, "attempts": 1, "retries": 0, "total_seconds": 44.1069}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 231, "image": "basketball-player-detection_boston-celtics-new-york-knicks-game-1-q1-04-28-04-20-0185_png.rf.5bf3baa6a3ce5adfe29dab142647c8bc.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [199, 622, 266, 667], \"label\": \"basket rim\"},\n {\"box_2d\": [330, 470, 362, 487], \"label\": \"basketball\"},\n {\"box_2d\": [206, 0, 415, 42], \"label\": \"referee\"},\n {\"box_2d\": [254, 140, 455, 188], \"label\": \"player\"},\n {\"box_2d\": [342, 149, 545, 217], \"label\": \"player\"},\n {\"box_2d\": [375, 279, 601, 333], \"label\": \"player\"},\n {\"box_2d\": [297, 300, 495, 332], \"label\": \"player\"},\n {\"box_2d\": [182, 379, 371, 421], \"label\": \"player\"},\n {\"box_2d\": [252, 455, 459, 504], \"label\": \"player\"},\n {\"box_2d\": [295, 574, 515, 646], \"label\": \"player\"},\n {\"box_2d\": [347, 616, 605, 670], \"label\": \"player\"},\n {\"box_2d\": [258, 697, 467, 738], \"label\": \"referee\"},\n {\"box_2d\": [508, 452, 795, 509], \"label\": \"player\"},\n {\"box_2d\": [524, 412, 868, 462], \"label\": \"player\"},\n {\"box_2d\": [682, 551, 987, 631], \"label\": \"referee\"},\n {\"box_2d\": [309, 155, 329, 166], \"label\": \"jersey number\"},\n {\"box_2d\": [400, 184, 420, 192], \"label\": \"jersey number\"},\n {\"box_2d\": [421, 307, 446, 316], \"label\": \"jersey number\"},\n {\"box_2d\": [235, 399, 253, 411], \"label\": \"jersey number\"},\n {\"box_2d\": [308, 468, 328, 475], \"label\": \"jersey number\"},\n {\"box_2d\": [354, 615, 376, 629], \"label\": \"jersey number\"},\n {\"box_2d\": [399, 645, 422, 654], \"label\": \"jersey number\"},\n {\"box_2d\": [650, 433, 680, 443], \"label\": \"jersey number\"},\n {\"box_2d\": [787, 589, 810, 603], \"label\": \"jersey number\"}\n]\n```", "correct": false, "input_tokens": 1251, "output_tokens": 2709, "elapsed_seconds": 30.565533916000277, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 23, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6666666269302368, "attempts": 1, "retries": 0, "total_seconds": 30.6533}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 232, "image": "construction-safety_ppe_0016_jpg.rf.d53d80274c0b6fdd6cccc30b2f5316b2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [322, 69, 436, 177], \"label\": \"safety helmet\"},\n {\"box_2d\": [286, 185, 376, 260], \"label\": \"safety helmet\"},\n {\"box_2d\": [326, 331, 421, 404], \"label\": \"safety helmet\"},\n {\"box_2d\": [323, 485, 428, 574], \"label\": \"safety helmet\"},\n {\"box_2d\": [306, 579, 400, 675], \"label\": \"safety helmet\"},\n {\"box_2d\": [362, 678, 464, 775], \"label\": \"safety helmet\"},\n {\"box_2d\": [278, 745, 401, 855], \"label\": \"safety helmet\"},\n {\"box_2d\": [480, 260, 851, 441], \"label\": \"safety vest\"},\n {\"box_2d\": [474, 456, 789, 592], \"label\": \"safety vest\"},\n {\"box_2d\": [458, 573, 801, 700], \"label\": \"safety vest\"},\n {\"box_2d\": [480, 687, 864, 798], \"label\": \"safety vest\"},\n {\"box_2d\": [461, 747, 864, 904], \"label\": \"safety vest\"},\n {\"box_2d\": [867, 859, 1000, 976], \"label\": \"safety vest\"},\n {\"box_2d\": [320, 62, 1000, 290], \"label\": \"person\"},\n {\"box_2d\": [286, 134, 1000, 297], \"label\": \"person\"},\n {\"box_2d\": [325, 252, 865, 444], \"label\": \"person\"},\n {\"box_2d\": [323, 445, 792, 594], \"label\": \"person\"},\n {\"box_2d\": [306, 571, 830, 718], \"label\": \"person\"},\n {\"box_2d\": [360, 608, 864, 799], \"label\": \"person\"},\n {\"box_2d\": [278, 672, 996, 906], \"label\": \"person\"}\n]\n```", "correct": true, "input_tokens": 1222, "output_tokens": 2414, "elapsed_seconds": 37.111891916021705, "metadata": {"match_method": "map", "num_predictions": 20, "num_ground_truth": 19, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 38.0797}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 233, "image": "ind_jpeg_jpg.rf.838960e9a8a04626878832d54c63b122.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [369, 69, 459, 196], \"label\": \"dimension annotation\"},\n {\"box_2d\": [465, 65, 513, 138], \"label\": \"dimension annotation\"},\n {\"box_2d\": [357, 530, 401, 616], \"label\": \"dimension annotation\"},\n {\"box_2d\": [558, 313, 576, 411], \"label\": \"dimension annotation\"},\n {\"box_2d\": [588, 170, 606, 411], \"label\": \"dimension annotation\"},\n {\"box_2d\": [653, 338, 735, 421], \"label\": \"dimension annotation\"},\n {\"box_2d\": [660, 425, 716, 514], \"label\": \"dimension annotation\"},\n {\"box_2d\": [768, 55, 834, 82], \"label\": \"dimension annotation\"},\n {\"box_2d\": [763, 553, 804, 578], \"label\": \"dimension annotation\"},\n {\"box_2d\": [725, 583, 790, 610], \"label\": \"dimension annotation\"},\n {\"box_2d\": [789, 583, 834, 610], \"label\": \"dimension annotation\"},\n {\"box_2d\": [637, 686, 655, 720], \"label\": \"dimension annotation\"},\n {\"box_2d\": [637, 715, 655, 846], \"label\": \"dimension annotation\"},\n {\"box_2d\": [637, 842, 655, 876], \"label\": \"dimension annotation\"},\n {\"box_2d\": [688, 935, 834, 962], \"label\": \"dimension annotation\"},\n {\"box_2d\": [914, 208, 984, 976], \"label\": \"technical drawing table\"}\n]\n```", "correct": false, "input_tokens": 1233, "output_tokens": 2100, "elapsed_seconds": 18.958121125004254, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5028877258300781, "attempts": 1, "retries": 0, "total_seconds": 18.9675}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 234, "image": "frame_0102_jpg.rf.17d6c3b1d93b1bd2e8d8880687a7f794.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [36, 338, 74, 361], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [37, 392, 74, 416], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [43, 448, 81, 472], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [46, 504, 83, 529], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [122, 329, 160, 353], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [123, 385, 163, 409], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [129, 443, 171, 467], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [131, 501, 173, 525], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [214, 332, 255, 357], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [223, 390, 265, 416], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [230, 449, 274, 476], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [248, 508, 293, 535], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [313, 322, 356, 347], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [323, 380, 369, 408], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [330, 441, 377, 469], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [348, 504, 395, 532], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [415, 307, 462, 335], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [426, 366, 474, 395], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [435, 428, 483, 456], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [453, 490, 502, 519], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [525, 312, 574, 340], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [540, 373, 591, 402], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [556, 435, 606, 465], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [571, 501, 620, 530], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [633, 300, 684, 328], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [650, 361, 701, 390], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [668, 424, 719, 455], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [684, 490, 736, 519], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [742, 295, 794, 324], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [764, 357, 815, 386], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [781, 420, 833, 449], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [796, 486, 848, 515], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [858, 303, 910, 333], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [880, 366, 932, 395], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [896, 429, 946, 459], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [915, 493, 965, 522], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [956, 291, 1000, 320], \"label\": \"soda bottle cap\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 2485, "elapsed_seconds": 26.479348083026707, "metadata": {"match_method": "map", "num_predictions": 37, "num_ground_truth": 38, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9702970385551453, "attempts": 1, "retries": 0, "total_seconds": 26.8491}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 235, "image": "tile_559_jpg.rf.2e36153b3f0a023e43755fc06e0c32dc.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [6, 324, 28, 378], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [214, 450, 239, 535], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [321, 250, 360, 348], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [668, 666, 688, 750], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [741, 350, 758, 429], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [885, 0, 906, 76], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [959, 551, 980, 603], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [930, 777, 954, 860], \"label\": \"ship in SAR satellite image\"}\n]\n```", "correct": true, "input_tokens": 1229, "output_tokens": 998, "elapsed_seconds": 9.578108832938597, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 9.6157}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 236, "image": "frame_0555_jpg.rf.e5603989fbc45aefce0b30f65bdbe361.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [82, 240, 144, 281], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [251, 255, 315, 292], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [462, 234, 536, 279], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [611, 232, 691, 281], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [786, 242, 864, 289], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [64, 348, 125, 391], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [164, 336, 234, 373], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [219, 353, 278, 389], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [298, 369, 363, 408], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [406, 356, 466, 394], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [492, 348, 560, 387], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [740, 346, 825, 393], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [28, 431, 81, 463], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [234, 442, 305, 478], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [375, 434, 439, 477], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [797, 450, 882, 491], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [770, 485, 850, 526], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [48, 538, 105, 570], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [139, 541, 198, 573], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [465, 549, 526, 585], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [585, 580, 653, 622], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [729, 603, 804, 646], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [422, 654, 486, 695], \"label\": \"garlic on conveyor\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 2940, "elapsed_seconds": 25.487919125007465, "metadata": {"match_method": "map", "num_predictions": 23, "num_ground_truth": 23, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 25.5777}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 237, "image": "DJI_0236_JPG_jpg.rf.d7ac178bd4662b9ae881e21c92284693.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [725, 557, 899, 624], \"label\": \"excavator\"},\n {\"box_2d\": [458, 382, 493, 439], \"label\": \"dump truck\"},\n {\"box_2d\": [417, 232, 443, 274], \"label\": \"dump truck\"},\n {\"box_2d\": [161, 819, 369, 945], \"label\": \"tower crane\"},\n {\"box_2d\": [202, 932, 834, 1000], \"label\": \"tower crane\"}\n]\n```", "correct": false, "input_tokens": 1209, "output_tokens": 1443, "elapsed_seconds": 38.277264582924545, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 6, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.75, "attempts": 1, "retries": 0, "total_seconds": 39.0131}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 238, "image": "9999981_00000_d_0000108_jpg.rf.808757c317fef3db00edefab735a3c05.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [56, 148, 169, 202], \"label\": \"truck\"},\n {\"box_2d\": [119, 20, 202, 59], \"label\": \"van\"},\n {\"box_2d\": [72, 12, 122, 40], \"label\": \"car\"},\n {\"box_2d\": [288, 60, 360, 91], \"label\": \"van\"},\n {\"box_2d\": [368, 82, 427, 118], \"label\": \"car\"},\n {\"box_2d\": [290, 231, 362, 273], \"label\": \"car\"},\n {\"box_2d\": [0, 405, 56, 440], \"label\": \"car\"},\n {\"box_2d\": [83, 439, 149, 478], \"label\": \"car\"},\n {\"box_2d\": [196, 406, 265, 447], \"label\": \"car\"},\n {\"box_2d\": [209, 496, 274, 542], \"label\": \"car\"},\n {\"box_2d\": [258, 484, 323, 524], \"label\": \"car\"},\n {\"box_2d\": [395, 571, 505, 690], \"label\": \"bus\"},\n {\"box_2d\": [366, 656, 426, 715], \"label\": \"car\"},\n {\"box_2d\": [539, 738, 608, 807], \"label\": \"car\"},\n {\"box_2d\": [542, 326, 629, 377], \"label\": \"car\"},\n {\"box_2d\": [534, 130, 607, 170], \"label\": \"van\"},\n {\"box_2d\": [534, 130, 607, 170], \"label\": \"truck\"},\n {\"box_2d\": [907, 197, 982, 238], \"label\": \"tricycle\"},\n {\"box_2d\": [925, 452, 1000, 527], \"label\": \"car\"},\n {\"box_2d\": [784, 734, 873, 795], \"label\": \"car\"},\n {\"box_2d\": [811, 761, 899, 820], \"label\": \"car\"},\n {\"box_2d\": [867, 391, 902, 413], \"label\": \"motorcycle\"}\n]\n```", "correct": false, "input_tokens": 1214, "output_tokens": 4829, "elapsed_seconds": 55.08111079200171, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 46, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.4253889322280884, "attempts": 1, "retries": 0, "total_seconds": 55.1498}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 239, "image": "egg-detection_image381_jpg.rf.26b6182b9e6a29f3cd96c54029e234f8.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [12, 431, 66, 466], \"label\": \"egg\"},\n {\"box_2d\": [31, 471, 90, 502], \"label\": \"egg\"},\n {\"box_2d\": [64, 426, 125, 456], \"label\": \"egg\"},\n {\"box_2d\": [91, 385, 148, 421], \"label\": \"egg\"},\n {\"box_2d\": [164, 370, 221, 408], \"label\": \"egg\"},\n {\"box_2d\": [243, 418, 309, 456], \"label\": \"egg\"},\n {\"box_2d\": [243, 465, 302, 506], \"label\": \"egg\"},\n {\"box_2d\": [309, 426, 378, 459], \"label\": \"egg\"},\n {\"box_2d\": [289, 480, 353, 519], \"label\": \"egg\"},\n {\"box_2d\": [264, 558, 332, 591], \"label\": \"egg\"},\n {\"box_2d\": [532, 315, 597, 349], \"label\": \"egg\"},\n {\"box_2d\": [589, 302, 646, 339], \"label\": \"egg\"},\n {\"box_2d\": [678, 383, 738, 419], \"label\": \"egg\"},\n {\"box_2d\": [711, 417, 768, 457], \"label\": \"egg\"},\n {\"box_2d\": [708, 479, 770, 517], \"label\": \"egg\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 1520, "elapsed_seconds": 16.25777987507172, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 16.3493}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 240, "image": "A16150-1C_2025_NCPT-175_JPG_jpg.rf.2c6e330d745fc218d09f761944d1e142.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [15, 249, 98, 275], \"label\": \"potato\"},\n {\"box_2d\": [98, 247, 162, 274], \"label\": \"potato\"},\n {\"box_2d\": [12, 295, 58, 317], \"label\": \"potato\"},\n {\"box_2d\": [55, 294, 106, 318], \"label\": \"potato\"},\n {\"box_2d\": [104, 287, 162, 315], \"label\": \"potato\"},\n {\"box_2d\": [161, 285, 241, 316], \"label\": \"potato\"},\n {\"box_2d\": [240, 284, 316, 318], \"label\": \"potato\"},\n {\"box_2d\": [411, 279, 515, 317], \"label\": \"potato\"},\n {\"box_2d\": [577, 283, 646, 311], \"label\": \"potato\"},\n {\"box_2d\": [646, 274, 741, 315], \"label\": \"potato\"},\n {\"box_2d\": [748, 283, 818, 309], \"label\": \"potato\"},\n {\"box_2d\": [919, 282, 986, 312], \"label\": \"potato\"},\n {\"box_2d\": [6, 330, 91, 366], \"label\": \"potato\"},\n {\"box_2d\": [91, 329, 171, 363], \"label\": \"potato\"},\n {\"box_2d\": [170, 329, 242, 360], \"label\": \"potato\"},\n {\"box_2d\": [241, 324, 335, 362], \"label\": \"potato\"},\n {\"box_2d\": [334, 322, 421, 361], \"label\": \"potato\"},\n {\"box_2d\": [438, 328, 517, 360], \"label\": \"potato\"},\n {\"box_2d\": [516, 324, 593, 357], \"label\": \"potato\"},\n {\"box_2d\": [697, 326, 777, 356], \"label\": \"potato\"},\n {\"box_2d\": [776, 326, 853, 354], \"label\": \"potato\"},\n {\"box_2d\": [920, 323, 1000, 351], \"label\": \"potato\"},\n {\"box_2d\": [15, 377, 94, 411], \"label\": \"potato\"},\n {\"box_2d\": [107, 373, 189, 405], \"label\": \"potato\"},\n {\"box_2d\": [188, 374, 265, 405], \"label\": \"potato\"},\n {\"box_2d\": [264, 374, 349, 410], \"label\": \"potato\"},\n {\"box_2d\": [335, 364, 386, 389], \"label\": \"potato\"},\n {\"box_2d\": [383, 367, 487, 406], \"label\": \"potato\"},\n {\"box_2d\": [481, 370, 577, 408], \"label\": \"potato\"},\n {\"box_2d\": [687, 367, 763, 400], \"label\": \"potato\"},\n {\"box_2d\": [761, 366, 847, 400], \"label\": \"potato\"},\n {\"box_2d\": [918, 363, 998, 400], \"label\": \"potato\"},\n {\"box_2d\": [6, 414, 90, 453], \"label\": \"potato\"},\n {\"box_2d\": [86, 412, 195, 459], \"label\": \"potato\"},\n {\"box_2d\": [194, 416, 274, 452], \"label\": \"potato\"},\n {\"box_2d\": [349, 415, 436, 449], \"label\": \"potato\"},\n {\"box_2d\": [436, 415, 526, 450], \"label\": \"potato\"},\n {\"box_2d\": [524, 415, 604, 449], \"label\": \"potato\"},\n {\"box_2d\": [602, 411, 688, 446], \"label\": \"potato\"},\n {\"box_2d\": [685, 411, 780, 444], \"label\": \"potato\"},\n {\"box_2d\": [11, 466, 81, 495], \"label\": \"potato\"},\n {\"box_2d\": [79, 465, 141, 494], \"label\": \"potato\"},\n {\"box_2d\": [139, 455, 255, 497], \"label\": \"potato\"},\n {\"box_2d\": [262, 462, 335, 490], \"label\": \"potato\"},\n {\"box_2d\": [335, 459, 413, 490], \"label\": \"potato\"},\n {\"box_2d\": [411, 460, 504, 497], \"label\": \"potato\"},\n {\"box_2d\": [728, 453, 825, 496], \"label\": \"potato\"},\n {\"box_2d\": [915, 454, 993, 488], \"label\": \"potato\"},\n {\"box_2d\": [6, 507, 77, 539], \"label\": \"potato\"},\n {\"box_2d\": [74, 506, 141, 539], \"label\": \"potato\"},\n {\"box_2d\": [138, 505, 245, 545], \"label\": \"potato\"},\n {\"box_2d\": [242, 505, 340, 547], \"label\": \"potato\"},\n {\"box_2d\": [492, 495, 588, 536], \"label\": \"potato\"},\n {\"box_2d\": [681, 494, 800, 546], \"label\": \"potato\"},\n {\"box_2d\": [6, 550, 81, 583], \"label\": \"potato\"},\n {\"box_2d\": [150, 550, 232, 583], \"label\": \"potato\"},\n {\"box_2d\": [231, 550, 319, 582], \"label\": \"potato\"},\n {\"box_2d\": [491, 547, 570, 582], \"label\": \"potato\"},\n {\"box_2d\": [686, 548, 747, 573], \"label\": \"potato\"},\n {\"box_2d\": [787, 541, 880, 580], \"label\": \"potato\"},\n {\"box_2d\": [923, 540, 1000, 574], \"label\": \"potato\"},\n {\"box_2d\": [5, 595, 72, 630], \"label\": \"potato\"},\n {\"box_2d\": [69, 594, 173, 632], \"label\": \"potato\"},\n {\"box_2d\": [168, 595, 257, 630], \"label\": \"potato\"},\n {\"box_2d\": [309, 592, 420, 636], \"label\": \"potato\"},\n {\"box_2d\": [647, 585, 731, 620], \"label\": \"potato\"},\n {\"box_2d\": [2, 629, 90, 667], \"label\": \"potato\"},\n {\"box_2d\": [87, 639, 159, 670], \"label\": \"potato\"},\n {\"box_2d\": [157, 638, 234, 670], \"label\": \"potato\"},\n {\"box_2d\": [255, 640, 323, 668], \"label\": \"potato\"},\n {\"box_2d\": [370, 637, 440, 668], \"label\": \"potato\"},\n {\"box_2d\": [506, 637, 575, 664], \"label\": \"potato\"},\n {\"box_2d\": [815, 624, 938, 664], \"label\": \"potato\"},\n {\"box_2d\": [61, 681, 132, 712], \"label\": \"potato\"},\n {\"box_2d\": [15, 726, 99, 761], \"label\": \"potato\"},\n {\"box_2d\": [520, 720, 608, 763], \"label\": \"potato\"},\n {\"box_2d\": [288, 766, 358, 791], \"label\": \"potato\"},\n {\"box_2d\": [440, 764, 519, 797], \"label\": \"potato\"},\n {\"box_2d\": [21, 813, 84, 842], \"label\": \"potato\"},\n {\"box_2d\": [328, 809, 389, 836], \"label\": \"potato\"},\n {\"box_2d\": [315, 849, 395, 878], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 5280, "elapsed_seconds": 53.49697295902297, "metadata": {"match_method": "map", "num_predictions": 81, "num_ground_truth": 81, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 53.9564}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 241, "image": "lot251_JPEG_jpg.rf.5ae906b5fd537b40c5fabb806ecf5fd9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [181, 342, 200, 381], \"label\": \"chicory seed\"},\n {\"box_2d\": [187, 364, 211, 405], \"label\": \"chicory seed\"},\n {\"box_2d\": [197, 317, 224, 355], \"label\": \"chicory seed\"},\n {\"box_2d\": [202, 281, 224, 323], \"label\": \"chicory seed\"},\n {\"box_2d\": [215, 338, 250, 365], \"label\": \"chicory seed\"},\n {\"box_2d\": [220, 303, 257, 329], \"label\": \"chicory seed\"},\n {\"box_2d\": [219, 251, 251, 286], \"label\": \"chicory seed\"},\n {\"box_2d\": [230, 263, 260, 297], \"label\": \"chicory seed\"},\n {\"box_2d\": [209, 367, 230, 409], \"label\": \"chicory seed\"},\n {\"box_2d\": [227, 354, 263, 376], \"label\": \"chicory seed\"},\n {\"box_2d\": [197, 424, 231, 459], \"label\": \"chicory seed\"},\n {\"box_2d\": [224, 401, 252, 437], \"label\": \"chicory seed\"},\n {\"box_2d\": [238, 377, 258, 417], \"label\": \"chicory seed\"},\n {\"box_2d\": [179, 498, 215, 523], \"label\": \"chicory seed\"},\n {\"box_2d\": [191, 540, 228, 564], \"label\": \"chicory seed\"},\n {\"box_2d\": [195, 577, 231, 603], \"label\": \"chicory seed\"},\n {\"box_2d\": [218, 493, 253, 519], \"label\": \"chicory seed\"},\n {\"box_2d\": [216, 519, 255, 541], \"label\": \"chicory seed\"},\n {\"box_2d\": [239, 591, 259, 631], \"label\": \"chicory seed\"},\n {\"box_2d\": [244, 639, 282, 666], \"label\": \"chicory seed\"},\n {\"box_2d\": [249, 661, 268, 697], \"label\": \"chicory seed\"},\n {\"box_2d\": [250, 290, 284, 316], \"label\": \"chicory seed\"},\n {\"box_2d\": [262, 243, 286, 280], \"label\": \"chicory seed\"},\n {\"box_2d\": [264, 276, 297, 305], \"label\": \"chicory seed\"},\n {\"box_2d\": [283, 193, 314, 229], \"label\": \"chicory seed\"},\n {\"box_2d\": [294, 210, 319, 249], \"label\": \"chicory seed\"},\n {\"box_2d\": [273, 310, 296, 350], \"label\": \"chicory seed\"},\n {\"box_2d\": [259, 373, 280, 412], \"label\": \"chicory seed\"},\n {\"box_2d\": [244, 419, 276, 457], \"label\": \"chicory seed\"},\n {\"box_2d\": [253, 454, 289, 483], \"label\": \"chicory seed\"},\n {\"box_2d\": [279, 340, 312, 372], \"label\": \"chicory seed\"},\n {\"box_2d\": [279, 373, 298, 411], \"label\": \"chicory seed\"},\n {\"box_2d\": [275, 421, 300, 463], \"label\": \"chicory seed\"},\n {\"box_2d\": [274, 486, 306, 523], \"label\": \"chicory seed\"},\n {\"box_2d\": [251, 535, 282, 571], \"label\": 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\"label\": \"chicory seed\"},\n {\"box_2d\": [755, 485, 785, 527], \"label\": \"chicory seed\"},\n {\"box_2d\": [742, 420, 777, 457], \"label\": \"chicory seed\"},\n {\"box_2d\": [759, 401, 798, 425], \"label\": \"chicory seed\"},\n {\"box_2d\": [773, 475, 807, 511], \"label\": \"chicory seed\"},\n {\"box_2d\": [761, 525, 798, 558], \"label\": \"chicory seed\"},\n {\"box_2d\": [696, 551, 733, 577], \"label\": \"chicory seed\"},\n {\"box_2d\": [729, 541, 755, 583], \"label\": \"chicory seed\"},\n {\"box_2d\": [716, 579, 742, 621], \"label\": \"chicory seed\"},\n {\"box_2d\": [737, 576, 769, 615], \"label\": \"chicory seed\"},\n {\"box_2d\": [749, 591, 783, 629], \"label\": \"chicory seed\"},\n {\"box_2d\": [695, 645, 734, 667], \"label\": \"chicory seed\"},\n {\"box_2d\": [729, 622, 754, 666], \"label\": \"chicory seed\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 17775, "elapsed_seconds": 122.98988770903088, "metadata": {"match_method": "map", "num_predictions": 300, "num_ground_truth": 300, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3366336524486542, "attempts": 4, "retries": 3, "total_seconds": 860.8332, "transient_errors": ["RemoteProtocolError", "RemoteProtocolError", "ReadTimeout"]}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 242, "image": "4105625_ContRightUpper_f_jpg.rf.262f5072bce0f2365a2193d631224fd1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [332, 0, 614, 270], \"label\": \"shipping container wall dent\"}\n]\n```", "correct": false, "input_tokens": 1255, "output_tokens": 493, "elapsed_seconds": 7.95428558299318, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 8.0448}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 243, "image": "18_jpeg_jpg.rf.b131f08c745acace9daeeea095e0d1ef.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [83, 19, 192, 110], \"label\": \"potato\"},\n {\"box_2d\": [503, 0, 686, 61], \"label\": \"potato\"},\n {\"box_2d\": [299, 178, 391, 261], \"label\": \"potato\"},\n {\"box_2d\": [493, 236, 622, 323], \"label\": \"potato\"},\n {\"box_2d\": [700, 141, 815, 250], \"label\": \"potato\"},\n {\"box_2d\": [903, 147, 1000, 255], \"label\": \"potato\"},\n {\"box_2d\": [89, 444, 181, 542], \"label\": \"potato\"},\n {\"box_2d\": [496, 448, 595, 535], \"label\": \"potato\"},\n {\"box_2d\": [714, 355, 821, 478], \"label\": \"potato\"},\n {\"box_2d\": [499, 612, 605, 699], \"label\": \"potato\"},\n {\"box_2d\": [719, 541, 818, 629], \"label\": \"potato\"},\n {\"box_2d\": [713, 663, 820, 749], \"label\": \"potato\"},\n {\"box_2d\": [905, 594, 1000, 692], \"label\": \"potato\"},\n {\"box_2d\": [88, 886, 213, 987], \"label\": \"potato\"},\n {\"box_2d\": [282, 843, 405, 968], \"label\": \"potato\"},\n {\"box_2d\": [498, 875, 599, 957], \"label\": \"potato\"},\n {\"box_2d\": [686, 935, 795, 1000], \"label\": \"potato\"},\n {\"box_2d\": [870, 916, 987, 1000], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1240, "output_tokens": 1840, "elapsed_seconds": 14.534718375070952, "metadata": {"match_method": "map", "num_predictions": 18, "num_ground_truth": 18, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 14.5703}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 244, "image": "lot312_JPEG_jpg.rf.6c72b39304c1a45a005f911f32e89494.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [142, 421, 170, 459], \"label\": \"chicory seed\"},\n {\"box_2d\": [136, 482, 159, 522], \"label\": \"chicory seed\"},\n {\"box_2d\": [155, 469, 179, 510], \"label\": \"chicory seed\"},\n {\"box_2d\": [141, 538, 165, 583], \"label\": \"chicory seed\"},\n {\"box_2d\": [161, 540, 185, 583], \"label\": \"chicory seed\"},\n {\"box_2d\": [150, 582, 178, 623], \"label\": \"chicory seed\"},\n {\"box_2d\": [168, 320, 194, 362], \"label\": \"chicory seed\"},\n {\"box_2d\": [182, 358, 211, 399], \"label\": \"chicory seed\"},\n {\"box_2d\": [192, 389, 220, 430], \"label\": \"chicory seed\"},\n {\"box_2d\": [175, 463, 197, 504], \"label\": \"chicory seed\"},\n {\"box_2d\": [194, 450, 223, 490], \"label\": \"chicory seed\"},\n {\"box_2d\": [195, 488, 234, 518], \"label\": \"chicory seed\"},\n {\"box_2d\": [185, 530, 207, 577], \"label\": \"chicory seed\"},\n {\"box_2d\": [174, 576, 212, 613], \"label\": \"chicory seed\"},\n {\"box_2d\": [171, 610, 202, 651], \"label\": \"chicory seed\"},\n {\"box_2d\": [170, 657, 197, 700], \"label\": \"chicory seed\"},\n {\"box_2d\": [196, 667, 219, 707], \"label\": \"chicory seed\"},\n {\"box_2d\": [216, 264, 241, 307], \"label\": \"chicory seed\"},\n {\"box_2d\": [225, 309, 250, 351], \"label\": \"chicory seed\"},\n {\"box_2d\": [213, 344, 238, 387], \"label\": \"chicory seed\"},\n {\"box_2d\": [219, 375, 251, 415], \"label\": \"chicory seed\"},\n {\"box_2d\": [223, 398, 264, 430], \"label\": \"chicory seed\"},\n {\"box_2d\": [210, 426, 249, 464], \"label\": \"chicory seed\"},\n {\"box_2d\": [215, 469, 260, 498], \"label\": \"chicory seed\"},\n {\"box_2d\": [229, 516, 252, 560], \"label\": \"chicory seed\"},\n {\"box_2d\": [215, 562, 240, 606], \"label\": \"chicory seed\"},\n {\"box_2d\": [217, 606, 243, 649], \"label\": \"chicory seed\"},\n {\"box_2d\": [216, 654, 248, 695], \"label\": \"chicory seed\"},\n {\"box_2d\": [212, 728, 244, 769], \"label\": \"chicory seed\"},\n {\"box_2d\": [240, 205, 273, 243], \"label\": \"chicory seed\"},\n {\"box_2d\": [253, 239, 278, 281], \"label\": \"chicory seed\"},\n {\"box_2d\": [278, 175, 314, 210], \"label\": \"chicory seed\"},\n {\"box_2d\": [276, 234, 302, 278], \"label\": \"chicory seed\"},\n {\"box_2d\": [285, 258, 313, 299], \"label\": \"chicory seed\"},\n {\"box_2d\": [302, 212, 327, 256], \"label\": \"chicory seed\"},\n {\"box_2d\": [318, 237, 348, 280], \"label\": \"chicory seed\"},\n {\"box_2d\": [297, 283, 328, 329], \"label\": \"chicory seed\"},\n {\"box_2d\": [331, 271, 359, 317], \"label\": \"chicory seed\"},\n {\"box_2d\": [278, 331, 309, 372], \"label\": \"chicory seed\"},\n {\"box_2d\": [239, 347, 271, 387], \"label\": \"chicory seed\"},\n {\"box_2d\": [264, 376, 293, 416], \"label\": \"chicory seed\"},\n {\"box_2d\": [243, 427, 275, 469], \"label\": \"chicory seed\"},\n {\"box_2d\": [268, 414, 296, 456], \"label\": \"chicory seed\"},\n {\"box_2d\": [259, 465, 287, 505], \"label\": \"chicory seed\"},\n {\"box_2d\": [245, 500, 279, 538], \"label\": \"chicory seed\"},\n {\"box_2d\": [246, 532, 270, 574], \"label\": \"chicory seed\"},\n {\"box_2d\": [255, 570, 295, 608], \"label\": \"chicory seed\"},\n {\"box_2d\": [241, 592, 282, 623], \"label\": \"chicory seed\"},\n {\"box_2d\": [243, 669, 288, 699], \"label\": \"chicory seed\"},\n {\"box_2d\": [276, 629, 311, 667], \"label\": \"chicory seed\"},\n {\"box_2d\": [261, 698, 288, 740], \"label\": \"chicory seed\"},\n {\"box_2d\": [249, 749, 274, 791], \"label\": \"chicory seed\"},\n {\"box_2d\": [284, 695, 317, 735], \"label\": \"chicory seed\"},\n {\"box_2d\": [290, 661, 331, 696], \"label\": \"chicory seed\"},\n {\"box_2d\": [317, 636, 343, 680], \"label\": \"chicory seed\"},\n {\"box_2d\": [307, 591, 347, 616], \"label\": \"chicory seed\"},\n {\"box_2d\": [301, 545, 335, 584], \"label\": \"chicory seed\"},\n {\"box_2d\": [269, 531, 311, 561], \"label\": \"chicory seed\"},\n {\"box_2d\": [270, 493, 307, 528], \"label\": \"chicory seed\"},\n {\"box_2d\": [285, 449, 311, 492], \"label\": \"chicory seed\"},\n {\"box_2d\": [303, 498, 334, 540], \"label\": \"chicory seed\"},\n {\"box_2d\": [310, 473, 334, 516], \"label\": \"chicory seed\"},\n {\"box_2d\": [294, 414, 321, 456], \"label\": \"chicory seed\"},\n {\"box_2d\": [291, 383, 333, 410], \"label\": \"chicory seed\"},\n {\"box_2d\": [309, 403, 353, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [323, 432, 353, 475], \"label\": \"chicory seed\"},\n {\"box_2d\": [314, 328, 355, 355], \"label\": \"chicory seed\"},\n {\"box_2d\": [318, 359, 357, 396], \"label\": \"chicory seed\"},\n {\"box_2d\": [347, 351, 385, 385], \"label\": \"chicory seed\"},\n {\"box_2d\": [352, 383, 386, 424], \"label\": \"chicory seed\"},\n {\"box_2d\": [342, 419, 371, 461], \"label\": \"chicory seed\"},\n {\"box_2d\": [333, 480, 357, 524], \"label\": \"chicory seed\"},\n {\"box_2d\": [334, 532, 360, 574], \"label\": \"chicory seed\"},\n {\"box_2d\": [305, 716, 334, 758], \"label\": \"chicory seed\"},\n {\"box_2d\": [323, 687, 360, 722], \"label\": \"chicory seed\"},\n {\"box_2d\": [284, 756, 315, 791], \"label\": \"chicory seed\"},\n {\"box_2d\": [278, 787, 316, 818], \"label\": \"chicory seed\"},\n {\"box_2d\": [300, 801, 336, 835], \"label\": \"chicory seed\"},\n {\"box_2d\": [313, 759, 337, 801], \"label\": \"chicory seed\"},\n {\"box_2d\": [330, 732, 367, 768], \"label\": \"chicory seed\"},\n {\"box_2d\": [336, 769, 374, 799], \"label\": \"chicory seed\"},\n {\"box_2d\": [325, 817, 358, 855], \"label\": \"chicory seed\"},\n {\"box_2d\": [360, 130, 397, 165], \"label\": \"chicory seed\"},\n {\"box_2d\": [375, 160, 404, 202], \"label\": \"chicory seed\"},\n {\"box_2d\": [356, 174, 382, 217], \"label\": \"chicory seed\"},\n {\"box_2d\": [354, 226, 380, 269], \"label\": \"chicory seed\"},\n {\"box_2d\": [376, 206, 402, 249], \"label\": \"chicory seed\"},\n {\"box_2d\": [392, 244, 431, 272], \"label\": \"chicory seed\"},\n {\"box_2d\": [356, 281, 383, 326], \"label\": \"chicory seed\"},\n {\"box_2d\": [379, 271, 419, 300], \"label\": \"chicory seed\"},\n {\"box_2d\": [375, 296, 412, 332], \"label\": \"chicory seed\"},\n {\"box_2d\": [392, 312, 429, 349], \"label\": \"chicory seed\"},\n {\"box_2d\": [411, 335, 439, 380], \"label\": \"chicory seed\"},\n {\"box_2d\": [429, 281, 456, 323], \"label\": \"chicory seed\"},\n {\"box_2d\": [369, 433, 399, 476], \"label\": \"chicory seed\"},\n {\"box_2d\": [355, 466, 383, 509], \"label\": \"chicory seed\"},\n {\"box_2d\": [379, 474, 414, 514], \"label\": \"chicory seed\"},\n {\"box_2d\": [367, 521, 407, 557], \"label\": \"chicory seed\"},\n {\"box_2d\": [365, 552, 404, 583], \"label\": \"chicory seed\"},\n {\"box_2d\": [364, 587, 399, 632], \"label\": \"chicory seed\"},\n {\"box_2d\": [404, 604, 448, 632], \"label\": \"chicory seed\"},\n {\"box_2d\": [380, 644, 408, 686], \"label\": \"chicory seed\"},\n {\"box_2d\": [392, 683, 419, 726], \"label\": \"chicory seed\"},\n {\"box_2d\": [368, 720, 407, 753], \"label\": \"chicory seed\"},\n {\"box_2d\": [369, 757, 402, 797], \"label\": \"chicory seed\"},\n {\"box_2d\": [385, 749, 423, 783], \"label\": \"chicory seed\"},\n {\"box_2d\": [357, 785, 389, 822], \"label\": \"chicory seed\"},\n {\"box_2d\": [358, 822, 400, 851], \"label\": \"chicory seed\"},\n {\"box_2d\": [374, 840, 410, 876], \"label\": \"chicory seed\"},\n {\"box_2d\": [406, 833, 432, 875], \"label\": \"chicory seed\"},\n {\"box_2d\": [408, 769, 444, 805], \"label\": \"chicory seed\"},\n {\"box_2d\": [423, 794, 451, 836], \"label\": \"chicory seed\"},\n {\"box_2d\": [424, 850, 451, 892], \"label\": \"chicory seed\"},\n {\"box_2d\": [448, 854, 477, 897], \"label\": \"chicory seed\"},\n {\"box_2d\": [420, 743, 463, 768], \"label\": \"chicory seed\"},\n {\"box_2d\": [410, 675, 432, 718], \"label\": \"chicory seed\"},\n {\"box_2d\": [429, 678, 458, 716], \"label\": \"chicory seed\"},\n {\"box_2d\": [424, 653, 464, 685], \"label\": \"chicory seed\"},\n {\"box_2d\": [442, 635, 484, 663], \"label\": \"chicory seed\"},\n {\"box_2d\": [436, 705, 480, 743], \"label\": \"chicory seed\"},\n {\"box_2d\": [414, 114, 452, 142], \"label\": \"chicory seed\"},\n {\"box_2d\": [469, 109, 494, 152], \"label\": \"chicory seed\"},\n {\"box_2d\": [493, 108, 517, 151], \"label\": \"chicory seed\"},\n {\"box_2d\": [527, 106, 563, 141], \"label\": \"chicory seed\"},\n {\"box_2d\": [527, 142, 552, 185], \"label\": \"chicory seed\"},\n {\"box_2d\": [458, 184, 490, 226], \"label\": \"chicory seed\"},\n {\"box_2d\": [484, 190, 518, 230], \"label\": \"chicory seed\"},\n {\"box_2d\": [508, 209, 543, 248], \"label\": \"chicory seed\"},\n {\"box_2d\": [454, 251, 484, 291], \"label\": \"chicory seed\"},\n {\"box_2d\": [451, 291, 493, 326], \"label\": \"chicory seed\"},\n {\"box_2d\": [474, 277, 511, 316], \"label\": \"chicory seed\"},\n {\"box_2d\": [498, 264, 539, 298], \"label\": \"chicory seed\"},\n {\"box_2d\": [530, 246, 559, 289], \"label\": \"chicory seed\"},\n {\"box_2d\": [518, 293, 547, 338], \"label\": \"chicory seed\"},\n {\"box_2d\": [545, 281, 575, 323], \"label\": \"chicory seed\"},\n {\"box_2d\": [438, 316, 479, 350], \"label\": \"chicory seed\"},\n {\"box_2d\": [446, 336, 483, 373], \"label\": \"chicory seed\"},\n {\"box_2d\": [481, 323, 513, 365], \"label\": \"chicory seed\"},\n {\"box_2d\": [467, 359, 507, 386], \"label\": \"chicory seed\"},\n {\"box_2d\": [510, 362, 547, 405], \"label\": \"chicory seed\"},\n {\"box_2d\": [442, 388, 470, 430], \"label\": \"chicory seed\"},\n {\"box_2d\": [469, 391, 499, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [490, 399, 522, 442], \"label\": \"chicory seed\"},\n {\"box_2d\": [451, 440, 493, 469], \"label\": \"chicory seed\"},\n {\"box_2d\": [467, 484, 505, 516], \"label\": \"chicory seed\"},\n {\"box_2d\": [442, 501, 474, 542], \"label\": \"chicory seed\"},\n {\"box_2d\": [473, 548, 512, 575], \"label\": \"chicory seed\"},\n {\"box_2d\": [512, 456, 542, 501], \"label\": \"chicory seed\"},\n {\"box_2d\": [538, 457, 567, 500], \"label\": \"chicory seed\"},\n {\"box_2d\": [520, 507, 556, 549], \"label\": \"chicory seed\"},\n {\"box_2d\": [472, 587, 502, 631], \"label\": \"chicory seed\"},\n {\"box_2d\": [498, 613, 541, 639], \"label\": \"chicory seed\"},\n {\"box_2d\": [519, 590, 561, 620], \"label\": \"chicory seed\"},\n {\"box_2d\": [529, 568, 569, 597], \"label\": \"chicory seed\"},\n {\"box_2d\": [467, 664, 496, 706], \"label\": \"chicory seed\"},\n {\"box_2d\": [473, 699, 502, 742], \"label\": \"chicory seed\"},\n {\"box_2d\": [493, 657, 529, 700], \"label\": \"chicory seed\"},\n {\"box_2d\": [493, 684, 522, 725], \"label\": \"chicory seed\"},\n {\"box_2d\": [511, 638, 542, 685], \"label\": \"chicory seed\"},\n {\"box_2d\": [539, 633, 568, 677], \"label\": \"chicory seed\"},\n {\"box_2d\": [550, 606, 591, 638], \"label\": \"chicory seed\"},\n {\"box_2d\": [556, 641, 597, 672], \"label\": \"chicory seed\"},\n {\"box_2d\": [543, 678, 590, 706], \"label\": \"chicory seed\"},\n {\"box_2d\": [526, 701, 568, 729], \"label\": \"chicory seed\"},\n {\"box_2d\": [512, 727, 553, 754], \"label\": \"chicory seed\"},\n {\"box_2d\": [509, 753, 538, 796], \"label\": \"chicory seed\"},\n {\"box_2d\": [534, 756, 565, 799], \"label\": \"chicory seed\"},\n {\"box_2d\": [477, 779, 517, 813], \"label\": \"chicory seed\"},\n {\"box_2d\": [452, 798, 494, 825], \"label\": \"chicory seed\"},\n {\"box_2d\": [464, 827, 504, 858], \"label\": \"chicory seed\"},\n {\"box_2d\": [507, 805, 538, 849], \"label\": \"chicory seed\"},\n {\"box_2d\": [550, 136, 586, 173], \"label\": \"chicory seed\"},\n {\"box_2d\": [566, 112, 605, 139], \"label\": \"chicory seed\"},\n {\"box_2d\": [559, 164, 600, 193], \"label\": \"chicory seed\"},\n {\"box_2d\": [586, 137, 616, 180], \"label\": \"chicory seed\"},\n {\"box_2d\": [570, 193, 610, 224], \"label\": \"chicory seed\"},\n {\"box_2d\": [608, 165, 637, 209], \"label\": \"chicory seed\"},\n {\"box_2d\": [634, 127, 672, 157], \"label\": \"chicory seed\"},\n {\"box_2d\": [636, 150, 681, 179], \"label\": \"chicory seed\"},\n {\"box_2d\": [667, 144, 709, 173], \"label\": \"chicory seed\"},\n {\"box_2d\": [659, 170, 702, 199], \"label\": \"chicory seed\"},\n {\"box_2d\": [634, 197, 671, 234], \"label\": \"chicory seed\"},\n {\"box_2d\": [660, 209, 687, 252], \"label\": \"chicory seed\"},\n {\"box_2d\": [577, 255, 616, 292], \"label\": \"chicory seed\"},\n {\"box_2d\": [572, 285, 601, 329], \"label\": \"chicory seed\"},\n {\"box_2d\": [556, 362, 596, 396], \"label\": \"chicory seed\"},\n {\"box_2d\": [592, 314, 620, 358], \"label\": \"chicory seed\"},\n {\"box_2d\": [606, 297, 645, 332], \"label\": \"chicory seed\"},\n {\"box_2d\": [608, 350, 636, 394], \"label\": \"chicory seed\"},\n {\"box_2d\": [621, 387, 659, 427], \"label\": \"chicory seed\"},\n {\"box_2d\": [603, 417, 636, 459], \"label\": \"chicory seed\"},\n {\"box_2d\": [652, 401, 687, 443], \"label\": \"chicory seed\"},\n {\"box_2d\": [674, 420, 713, 455], \"label\": \"chicory seed\"},\n {\"box_2d\": [560, 522, 598, 560], \"label\": \"chicory seed\"},\n {\"box_2d\": [573, 550, 605, 594], \"label\": \"chicory seed\"},\n {\"box_2d\": [608, 479, 648, 514], \"label\": \"chicory seed\"},\n {\"box_2d\": [602, 516, 639, 561], \"label\": \"chicory seed\"},\n {\"box_2d\": [636, 571, 673, 610], \"label\": \"chicory seed\"},\n {\"box_2d\": [598, 609, 641, 641], \"label\": \"chicory seed\"},\n {\"box_2d\": [608, 640, 642, 679], \"label\": \"chicory seed\"},\n {\"box_2d\": [595, 657, 623, 702], \"label\": \"chicory seed\"},\n {\"box_2d\": [628, 659, 663, 701], \"label\": \"chicory seed\"},\n {\"box_2d\": [663, 642, 689, 686], \"label\": \"chicory seed\"},\n {\"box_2d\": [575, 717, 615, 750], \"label\": \"chicory seed\"},\n {\"box_2d\": [566, 748, 594, 791], \"label\": \"chicory seed\"},\n {\"box_2d\": [598, 789, 637, 826], \"label\": \"chicory seed\"},\n {\"box_2d\": [603, 822, 644, 847], \"label\": \"chicory seed\"},\n {\"box_2d\": [574, 844, 613, 881], \"label\": \"chicory seed\"},\n {\"box_2d\": [596, 854, 635, 889], \"label\": \"chicory seed\"},\n {\"box_2d\": [626, 846, 668, 872], \"label\": \"chicory seed\"},\n {\"box_2d\": [652, 793, 690, 832], \"label\": \"chicory seed\"},\n {\"box_2d\": [649, 724, 690, 759], \"label\": \"chicory seed\"},\n {\"box_2d\": [671, 686, 706, 730], \"label\": \"chicory seed\"},\n {\"box_2d\": [688, 700, 726, 737], \"label\": \"chicory seed\"},\n {\"box_2d\": [678, 756, 711, 798], \"label\": \"chicory seed\"},\n {\"box_2d\": [689, 798, 723, 842], \"label\": \"chicory seed\"},\n {\"box_2d\": [640, 249, 675, 286], \"label\": \"chicory seed\"},\n {\"box_2d\": [634, 282, 675, 317], \"label\": \"chicory seed\"},\n {\"box_2d\": [636, 319, 674, 346], \"label\": \"chicory seed\"},\n {\"box_2d\": [658, 306, 697, 335], \"label\": \"chicory seed\"},\n {\"box_2d\": [659, 332, 701, 359], \"label\": \"chicory seed\"},\n {\"box_2d\": [668, 353, 695, 396], \"label\": \"chicory seed\"},\n {\"box_2d\": [667, 278, 706, 310], \"label\": \"chicory seed\"},\n {\"box_2d\": [674, 236, 701, 281], \"label\": \"chicory seed\"},\n {\"box_2d\": [684, 219, 721, 260], \"label\": \"chicory seed\"},\n {\"box_2d\": [673, 194, 712, 227], \"label\": \"chicory seed\"},\n {\"box_2d\": [696, 168, 728, 210], \"label\": \"chicory seed\"},\n {\"box_2d\": [711, 187, 751, 222], \"label\": \"chicory seed\"},\n {\"box_2d\": [724, 203, 766, 238], \"label\": \"chicory seed\"},\n {\"box_2d\": [739, 225, 774, 264], \"label\": \"chicory seed\"},\n {\"box_2d\": [751, 239, 792, 269], \"label\": \"chicory seed\"},\n {\"box_2d\": [704, 260, 733, 304], \"label\": \"chicory seed\"},\n {\"box_2d\": [695, 302, 723, 345], \"label\": \"chicory seed\"},\n {\"box_2d\": [690, 341, 725, 378], \"label\": \"chicory seed\"},\n {\"box_2d\": [701, 371, 729, 415], \"label\": \"chicory seed\"},\n {\"box_2d\": [716, 345, 742, 392], \"label\": \"chicory seed\"},\n {\"box_2d\": [718, 303, 749, 347], \"label\": \"chicory seed\"},\n {\"box_2d\": [732, 264, 761, 307], \"label\": \"chicory seed\"},\n {\"box_2d\": [759, 264, 785, 307], \"label\": \"chicory seed\"},\n {\"box_2d\": [777, 252, 811, 294], \"label\": \"chicory seed\"},\n {\"box_2d\": [743, 302, 784, 324], \"label\": \"chicory seed\"},\n {\"box_2d\": [746, 320, 786, 343], \"label\": \"chicory seed\"},\n {\"box_2d\": [755, 334, 797, 362], \"label\": \"chicory seed\"},\n {\"box_2d\": [783, 291, 817, 332], \"label\": \"chicory seed\"},\n {\"box_2d\": [805, 310, 847, 338], \"label\": \"chicory seed\"},\n {\"box_2d\": [796, 335, 836, 368], \"label\": \"chicory seed\"},\n {\"box_2d\": [734, 358, 777, 384], \"label\": \"chicory seed\"},\n {\"box_2d\": [733, 378, 775, 405], \"label\": \"chicory seed\"},\n {\"box_2d\": [774, 350, 799, 391], \"label\": \"chicory seed\"},\n {\"box_2d\": [796, 358, 827, 400], \"label\": \"chicory seed\"},\n {\"box_2d\": [824, 361, 865, 388], \"label\": \"chicory seed\"},\n {\"box_2d\": [820, 385, 862, 413], \"label\": \"chicory seed\"},\n {\"box_2d\": [713, 414, 741, 458], \"label\": \"chicory seed\"},\n {\"box_2d\": [733, 404, 759, 450], \"label\": \"chicory seed\"},\n {\"box_2d\": [752, 390, 794, 421], \"label\": \"chicory seed\"},\n {\"box_2d\": [775, 397, 814, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [757, 420, 799, 452], \"label\": \"chicory seed\"},\n {\"box_2d\": [719, 459, 747, 504], \"label\": \"chicory seed\"},\n {\"box_2d\": [759, 458, 802, 486], \"label\": \"chicory seed\"},\n {\"box_2d\": [803, 432, 833, 476], \"label\": \"chicory seed\"},\n {\"box_2d\": [829, 442, 857, 486], \"label\": \"chicory seed\"},\n {\"box_2d\": [858, 414, 885, 466], \"label\": \"chicory seed\"},\n {\"box_2d\": [667, 525, 700, 565], \"label\": \"chicory seed\"},\n {\"box_2d\": [686, 489, 721, 532], \"label\": \"chicory seed\"},\n {\"box_2d\": [679, 562, 718, 599], \"label\": \"chicory seed\"},\n {\"box_2d\": [699, 541, 738, 567], \"label\": \"chicory seed\"},\n {\"box_2d\": [692, 607, 720, 652], \"label\": \"chicory seed\"},\n {\"box_2d\": [714, 593, 748, 638], \"label\": \"chicory seed\"},\n {\"box_2d\": [719, 566, 759, 598], \"label\": \"chicory seed\"},\n {\"box_2d\": [739, 536, 783, 564], \"label\": \"chicory seed\"},\n {\"box_2d\": [753, 509, 792, 548], \"label\": \"chicory seed\"},\n {\"box_2d\": [776, 495, 815, 537], \"label\": \"chicory seed\"},\n {\"box_2d\": [756, 560, 792, 600], \"label\": \"chicory seed\"},\n {\"box_2d\": [794, 552, 829, 593], \"label\": \"chicory seed\"},\n {\"box_2d\": [814, 522, 856, 550], \"label\": \"chicory seed\"},\n {\"box_2d\": [860, 499, 886, 546], \"label\": \"chicory seed\"},\n {\"box_2d\": [830, 556, 860, 604], \"label\": \"chicory seed\"},\n {\"box_2d\": [841, 610, 871, 655], \"label\": \"chicory seed\"},\n {\"box_2d\": [724, 644, 761, 683], \"label\": \"chicory seed\"},\n {\"box_2d\": [750, 628, 793, 658], \"label\": \"chicory seed\"},\n {\"box_2d\": [760, 656, 793, 697], \"label\": \"chicory seed\"},\n {\"box_2d\": [738, 694, 767, 737], \"label\": \"chicory seed\"},\n {\"box_2d\": [721, 719, 759, 758], \"label\": \"chicory seed\"},\n {\"box_2d\": [700, 737, 739, 774], \"label\": \"chicory seed\"},\n {\"box_2d\": [712, 771, 753, 798], \"label\": \"chicory seed\"},\n {\"box_2d\": [763, 693, 804, 724], \"label\": \"chicory seed\"},\n {\"box_2d\": [760, 727, 799, 766], \"label\": \"chicory seed\"},\n {\"box_2d\": [796, 661, 829, 702], \"label\": \"chicory seed\"},\n {\"box_2d\": [803, 696, 836, 739], \"label\": \"chicory seed\"},\n {\"box_2d\": [825, 659, 856, 703], \"label\": \"chicory seed\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 18415, "elapsed_seconds": 130.45243941701483, "metadata": {"match_method": "map", "num_predictions": 290, "num_ground_truth": 291, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3465346395969391, "attempts": 4, "retries": 3, "total_seconds": 868.6216, "transient_errors": ["RemoteProtocolError", "RemoteProtocolError", "ReadTimeout"]}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 245, "image": "DJI_0271_JPG_jpg.rf.58c0e5179915be4446df421b02825d3d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [556, 789, 710, 915], \"label\": \"excavator\"},\n {\"box_2d\": [321, 681, 359, 735], \"label\": \"excavator\"},\n {\"box_2d\": [265, 86, 313, 132], \"label\": \"excavator\"},\n {\"box_2d\": [221, 84, 280, 116], \"label\": \"excavator\"},\n {\"box_2d\": [184, 790, 232, 828], \"label\": \"dump truck\"},\n {\"box_2d\": [0, 360, 1000, 623], \"label\": \"tower crane\"}\n]\n```", "correct": true, "input_tokens": 1206, "output_tokens": 1229, "elapsed_seconds": 74.2558155420702, "metadata": {"match_method": "map", "num_predictions": 6, "num_ground_truth": 6, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 75.0791}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 246, "image": "IMG_3900_JPG.rf.5ee75659ac02193213ba7636038947a4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [325, 565, 391, 669], \"label\": \"50 poker chip\"},\n {\"box_2d\": [357, 320, 425, 426], \"label\": \"10 poker chip\"},\n {\"box_2d\": [368, 485, 437, 592], \"label\": \"5 poker chip\"},\n {\"box_2d\": [393, 637, 464, 747], \"label\": \"10000 poker chip\"},\n {\"box_2d\": [405, 153, 478, 265], \"label\": \"500 poker chip\"},\n {\"box_2d\": [415, 265, 488, 376], \"label\": \"10 poker chip\"},\n {\"box_2d\": [427, 422, 502, 532], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [457, 681, 535, 798], \"label\": \"50 poker chip\"},\n {\"box_2d\": [468, 326, 545, 439], \"label\": \"500 poker chip\"},\n {\"box_2d\": [482, 489, 562, 603], \"label\": \"100 poker chip\"},\n {\"box_2d\": [499, 92, 581, 212], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [513, 206, 596, 325], \"label\": \"100 poker chip\"},\n {\"box_2d\": [502, 598, 585, 717], \"label\": \"100 poker chip\"},\n {\"box_2d\": [525, 392, 608, 511], \"label\": \"10 poker chip\"},\n {\"box_2d\": [539, 738, 625, 864], \"label\": \"100 poker chip\"},\n {\"box_2d\": [565, 285, 654, 408], \"label\": \"10 poker chip\"},\n {\"box_2d\": [589, 134, 681, 263], \"label\": \"10 poker chip\"},\n {\"box_2d\": [580, 616, 672, 741], \"label\": \"5 poker chip\"},\n {\"box_2d\": [593, 469, 686, 594], \"label\": \"50 poker chip\"},\n {\"box_2d\": [623, 737, 718, 868], \"label\": \"100 poker chip\"},\n {\"box_2d\": [630, 355, 728, 484], \"label\": \"10 poker chip\"},\n {\"box_2d\": [698, 250, 803, 386], \"label\": \"20 poker chip\"},\n {\"box_2d\": [688, 637, 792, 773], \"label\": \"100 poker chip\"},\n {\"box_2d\": [718, 397, 825, 533], \"label\": \"10 poker chip\"},\n {\"box_2d\": [743, 527, 853, 667], \"label\": \"100 poker chip\"}\n]\n```", "correct": true, "input_tokens": 1252, "output_tokens": 2315, "elapsed_seconds": 24.71237129101064, "metadata": {"match_method": "map", "num_predictions": 25, "num_ground_truth": 25, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 25.2792}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 247, "image": "9AAEA6F5-FD0E-47BE-8596-0D85E5F62F1A_jpg.rf.7b7e8cbfdfc78f2c2cad6219290c51d6.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [137, 182, 190, 265], \"label\": \"pill\"},\n {\"box_2d\": [171, 211, 209, 300], \"label\": \"pill\"},\n {\"box_2d\": [138, 269, 195, 349], \"label\": \"pill\"},\n {\"box_2d\": [165, 410, 245, 452], \"label\": \"pill\"},\n {\"box_2d\": [166, 467, 236, 534], \"label\": \"pill\"},\n {\"box_2d\": [161, 541, 206, 623], \"label\": \"pill\"},\n {\"box_2d\": [92, 728, 174, 765], \"label\": \"pill\"},\n {\"box_2d\": [156, 687, 223, 756], \"label\": \"pill\"},\n {\"box_2d\": [261, 205, 345, 259], \"label\": \"pill\"},\n {\"box_2d\": [380, 187, 449, 265], \"label\": \"pill\"},\n {\"box_2d\": [447, 167, 537, 208], \"label\": \"pill\"},\n {\"box_2d\": [496, 251, 575, 323], \"label\": \"pill\"},\n {\"box_2d\": [245, 371, 300, 453], \"label\": \"pill\"},\n {\"box_2d\": [296, 432, 380, 483], \"label\": \"pill\"},\n {\"box_2d\": [287, 472, 341, 553], \"label\": \"pill\"},\n {\"box_2d\": [320, 484, 377, 563], \"label\": \"pill\"},\n {\"box_2d\": [352, 522, 435, 566], \"label\": \"pill\"},\n {\"box_2d\": [316, 567, 401, 600], \"label\": \"pill\"},\n {\"box_2d\": [312, 600, 398, 633], \"label\": \"pill\"},\n {\"box_2d\": [337, 628, 422, 663], \"label\": \"pill\"},\n {\"box_2d\": [333, 661, 419, 696], \"label\": \"pill\"},\n {\"box_2d\": [297, 689, 381, 724], \"label\": \"pill\"},\n {\"box_2d\": [295, 721, 375, 780], \"label\": \"pill\"},\n {\"box_2d\": [361, 706, 445, 752], \"label\": \"pill\"},\n {\"box_2d\": [378, 738, 464, 779], \"label\": \"pill\"},\n {\"box_2d\": [403, 529, 470, 602], \"label\": \"pill\"},\n {\"box_2d\": [442, 548, 512, 621], \"label\": \"pill\"},\n {\"box_2d\": [465, 574, 529, 654], \"label\": \"pill\"},\n {\"box_2d\": [443, 328, 529, 375], \"label\": \"pill\"},\n {\"box_2d\": [451, 358, 537, 405], \"label\": \"pill\"},\n {\"box_2d\": [464, 443, 539, 513], \"label\": \"pill\"},\n {\"box_2d\": [520, 388, 560, 477], \"label\": \"pill\"},\n {\"box_2d\": [555, 354, 590, 445], \"label\": \"pill\"},\n {\"box_2d\": [600, 361, 692, 398], \"label\": \"pill\"},\n {\"box_2d\": [468, 728, 549, 788], \"label\": \"pill\"},\n {\"box_2d\": [520, 619, 597, 685], \"label\": \"pill\"},\n {\"box_2d\": [554, 685, 643, 731], \"label\": \"pill\"},\n {\"box_2d\": [587, 724, 673, 781], \"label\": \"pill\"},\n {\"box_2d\": [562, 749, 649, 805], \"label\": \"pill\"},\n {\"box_2d\": [694, 286, 752, 375], \"label\": \"pill\"},\n {\"box_2d\": [793, 288, 845, 382], \"label\": \"pill\"},\n {\"box_2d\": [684, 638, 725, 729], \"label\": \"pill\"},\n {\"box_2d\": [719, 640, 764, 730], \"label\": \"pill\"},\n {\"box_2d\": [757, 631, 802, 722], \"label\": \"pill\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 3849, "elapsed_seconds": 35.128606542013586, "metadata": {"match_method": "map", "num_predictions": 44, "num_ground_truth": 44, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 35.553}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 248, "image": "DJI_0237_JPG_jpg.rf.cb5e6b368dca69cc9b7bc36fb47fd6fb.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [585, 559, 750, 622], \"label\": \"excavator\"},\n {\"box_2d\": [381, 866, 434, 949], \"label\": \"concrete mixer\"},\n {\"box_2d\": [299, 180, 333, 232], \"label\": \"dump truck\"},\n {\"box_2d\": [274, 226, 305, 273], \"label\": \"dump truck\"},\n {\"box_2d\": [254, 924, 707, 1000], \"label\": \"tower crane\"},\n {\"box_2d\": [0, 833, 228, 981], \"label\": \"tower crane\"}\n]\n```", "correct": true, "input_tokens": 1209, "output_tokens": 982, "elapsed_seconds": 31.94723012507893, "metadata": {"match_method": "map", "num_predictions": 6, "num_ground_truth": 7, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8762375712394714, "attempts": 1, "retries": 0, "total_seconds": 32.7371}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 249, "image": "42ba34_9_9_png_jpg.rf.30ad6b17178011a7360591145cf422a2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [379, 20, 420, 32], \"label\": \"goalkeeper\"},\n {\"box_2d\": [465, 165, 515, 181], \"label\": \"player\"},\n {\"box_2d\": [477, 200, 526, 211], \"label\": \"player\"},\n {\"box_2d\": [610, 256, 667, 270], \"label\": \"player\"},\n {\"box_2d\": [587, 314, 639, 327], \"label\": \"player\"},\n {\"box_2d\": [367, 306, 405, 320], \"label\": \"player\"},\n {\"box_2d\": [358, 319, 398, 330], \"label\": \"player\"},\n {\"box_2d\": [298, 408, 334, 417], \"label\": \"player\"},\n {\"box_2d\": [399, 452, 440, 464], \"label\": \"player\"},\n {\"box_2d\": [409, 455, 452, 467], \"label\": \"player\"},\n {\"box_2d\": [381, 479, 418, 495], \"label\": \"player\"},\n {\"box_2d\": [384, 477, 393, 483], \"label\": \"football\"},\n {\"box_2d\": [422, 479, 470, 490], \"label\": \"referee\"},\n {\"box_2d\": [509, 438, 563, 449], \"label\": \"player\"},\n {\"box_2d\": [471, 502, 521, 519], \"label\": \"player\"},\n {\"box_2d\": [313, 566, 349, 577], \"label\": \"player\"},\n {\"box_2d\": [399, 590, 443, 601], \"label\": \"player\"},\n {\"box_2d\": [322, 657, 358, 669], \"label\": \"player\"},\n {\"box_2d\": [443, 673, 491, 686], \"label\": \"player\"},\n {\"box_2d\": [386, 715, 441, 725], \"label\": \"player\"},\n {\"box_2d\": [543, 697, 600, 715], \"label\": \"player\"},\n {\"box_2d\": [613, 676, 676, 695], \"label\": \"player\"},\n {\"box_2d\": [756, 889, 825, 912], \"label\": \"referee\"},\n {\"box_2d\": [382, 991, 423, 1000], \"label\": \"player\"}\n]\n```", "correct": false, "input_tokens": 1242, "output_tokens": 2453, "elapsed_seconds": 23.43792766693514, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.77970290184021, "attempts": 1, "retries": 0, "total_seconds": 23.5238}} diff --git a/results/detection_gemini-4-argon_high_20261013_074327_2.jsonl b/results/detection_gemini-4-argon_high_20261013_074327_2.jsonl new file mode 100644 index 0000000..18da0e5 --- /dev/null +++ b/results/detection_gemini-4-argon_high_20261013_074327_2.jsonl @@ -0,0 +1,250 @@ +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 0, "image": "Screenshot-2024-05-16-144612_png.rf.ae5a345319058fdba768605388143544.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [164, 259, 192, 290], \"label\": \"bullet hole\"},\n {\"box_2d\": [240, 270, 267, 300], \"label\": \"bullet hole\"},\n {\"box_2d\": [347, 285, 376, 315], \"label\": \"bullet hole\"},\n {\"box_2d\": [416, 293, 444, 323], \"label\": \"bullet hole\"},\n {\"box_2d\": [213, 548, 239, 578], \"label\": \"bullet hole\"},\n {\"box_2d\": [286, 548, 316, 577], \"label\": \"bullet hole\"},\n {\"box_2d\": [361, 548, 390, 578], \"label\": \"bullet hole\"},\n {\"box_2d\": [118, 833, 143, 859], \"label\": \"bullet hole\"},\n {\"box_2d\": [273, 832, 298, 857], \"label\": \"bullet hole\"},\n {\"box_2d\": [401, 761, 430, 789], \"label\": \"bullet hole\"},\n {\"box_2d\": [452, 890, 483, 920], \"label\": \"bullet hole\"},\n {\"box_2d\": [416, 968, 446, 999], \"label\": \"bullet hole\"},\n {\"box_2d\": [525, 965, 553, 998], \"label\": \"bullet hole\"},\n {\"box_2d\": [614, 71, 640, 98], \"label\": \"bullet hole\"},\n {\"box_2d\": [833, 39, 858, 70], \"label\": \"bullet hole\"},\n {\"box_2d\": [891, 155, 914, 182], \"label\": \"bullet hole\"},\n {\"box_2d\": [819, 232, 849, 259], \"label\": \"bullet hole\"},\n {\"box_2d\": [703, 311, 726, 336], \"label\": \"bullet hole\"},\n {\"box_2d\": [562, 463, 594, 495], \"label\": \"bullet hole\"},\n {\"box_2d\": [649, 390, 678, 424], \"label\": \"bullet hole\"},\n {\"box_2d\": [868, 431, 895, 461], \"label\": \"bullet hole\"},\n {\"box_2d\": [820, 459, 849, 489], \"label\": \"bullet hole\"},\n {\"box_2d\": [832, 570, 862, 605], \"label\": \"bullet hole\"},\n {\"box_2d\": [773, 701, 804, 735], \"label\": \"bullet hole\"},\n {\"box_2d\": [953, 686, 984, 721], \"label\": \"bullet hole\"},\n {\"box_2d\": [953, 888, 985, 920], \"label\": \"bullet hole\"},\n {\"box_2d\": [836, 889, 868, 922], \"label\": \"bullet hole\"},\n {\"box_2d\": [575, 888, 605, 918], \"label\": \"bullet hole\"},\n {\"box_2d\": [518, 824, 545, 856], \"label\": \"bullet hole\"}\n]\n```", "correct": false, "input_tokens": 1226, "output_tokens": 2883, "elapsed_seconds": 23.119279084028676, "metadata": {"match_method": "map", "num_predictions": 29, "num_ground_truth": 29, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7397453784942627, "attempts": 1, "retries": 0, "total_seconds": 23.147}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 1, "image": "img_462887999701516572_png.rf.318af6a4e9ad42c15e8fcc520375ad9b.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [306, 251, 369, 369], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [288, 365, 347, 479], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [311, 467, 369, 582], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [293, 571, 356, 691], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [313, 681, 377, 801], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [351, 234, 418, 362], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [333, 355, 394, 474], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [357, 464, 419, 583], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [338, 571, 401, 695], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [360, 684, 426, 811], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [399, 213, 469, 348], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [380, 348, 446, 472], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [408, 454, 473, 582], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [387, 569, 454, 696], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [410, 687, 480, 825], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [453, 194, 521, 337], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [432, 331, 499, 464], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [464, 450, 531, 584], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [442, 570, 511, 703], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [466, 691, 538, 839], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [513, 173, 581, 329], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [490, 321, 558, 461], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [523, 444, 593, 586], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [500, 571, 571, 712], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [526, 697, 598, 855], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [578, 155, 650, 319], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [553, 309, 622, 456], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [590, 437, 661, 585], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [566, 571, 636, 719], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [592, 698, 666, 868], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [648, 130, 728, 301], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [620, 291, 694, 446], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [658, 425, 738, 583], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [633, 567, 710, 725], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [662, 708, 745, 888], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [726, 108, 821, 286], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [691, 273, 782, 439], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [734, 414, 830, 580], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [705, 566, 800, 732], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [738, 721, 835, 902], \"label\": \"full portable gas cylinder\"}\n]\n```", "correct": true, "input_tokens": 1217, "output_tokens": 2703, "elapsed_seconds": 23.71271854196675, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 40, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 24.0272}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 2, "image": "basketball-player-detection_boston-celtics-new-york-knicks-game-1-q1-03-16-03-11-0135_png.rf.87404d3bb76bef98d9e926e5ec1e2966.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [267, 291, 299, 309], \"label\": \"basketball\"},\n {\"box_2d\": [269, 302, 342, 338], \"label\": \"basket rim\"},\n {\"box_2d\": [284, 319, 616, 377], \"label\": \"player\"},\n {\"box_2d\": [284, 319, 616, 377], \"label\": \"player doing layup dunk\"},\n {\"box_2d\": [368, 285, 641, 381], \"label\": \"player\"},\n {\"box_2d\": [368, 371, 591, 434], \"label\": \"player\"},\n {\"box_2d\": [458, 411, 701, 487], \"label\": \"player\"},\n {\"box_2d\": [628, 349, 900, 418], \"label\": \"player\"},\n {\"box_2d\": [266, 672, 502, 738], \"label\": \"player\"},\n {\"box_2d\": [412, 800, 687, 853], \"label\": \"player\"},\n {\"box_2d\": [658, 727, 950, 822], \"label\": \"player\"},\n {\"box_2d\": [745, 882, 995, 963], \"label\": \"player\"},\n {\"box_2d\": [836, 411, 998, 471], \"label\": \"referee\"},\n {\"box_2d\": [276, 263, 475, 304], \"label\": \"referee\"},\n {\"box_2d\": [704, 376, 734, 391], \"label\": \"jersey number\"},\n {\"box_2d\": [522, 453, 552, 463], \"label\": \"jersey number\"},\n {\"box_2d\": [341, 704, 362, 712], \"label\": \"jersey number\"},\n {\"box_2d\": [471, 818, 498, 829], \"label\": \"jersey number\"},\n {\"box_2d\": [728, 777, 760, 801], \"label\": \"jersey number\"},\n {\"box_2d\": [898, 429, 924, 444], \"label\": \"jersey number\"}\n]\n```", "correct": false, "input_tokens": 1256, "output_tokens": 2485, "elapsed_seconds": 24.5404893750092, "metadata": {"match_method": "map", "num_predictions": 20, "num_ground_truth": 19, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.555555522441864, "attempts": 1, "retries": 0, "total_seconds": 24.6768}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 3, "image": "fall-detection_all_mp4-1653_jpg.rf.9fa9a5ca42070b76929d3ba6ab91e945.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [469, 355, 538, 516], \"label\": \"fallen person\"},\n {\"box_2d\": [512, 431, 623, 592], \"label\": \"fallen person\"},\n {\"box_2d\": [417, 209, 488, 342], \"label\": \"fallen person\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 482, "elapsed_seconds": 8.110420875018463, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 8.1348}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 4, "image": "Screenshot-2024-05-16-150857_png.rf.d53edfaec65ba17dbc56ff856e70ed0d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 745, 21, 773], \"label\": \"bullet hole\"},\n {\"box_2d\": [26, 462, 52, 488], \"label\": \"bullet hole\"},\n {\"box_2d\": [59, 517, 87, 549], \"label\": \"bullet hole\"},\n {\"box_2d\": [70, 629, 98, 659], \"label\": \"bullet hole\"},\n {\"box_2d\": [112, 825, 140, 855], \"label\": \"bullet hole\"},\n {\"box_2d\": [117, 320, 150, 350], \"label\": \"bullet hole\"},\n {\"box_2d\": [138, 208, 166, 239], \"label\": \"bullet hole\"},\n {\"box_2d\": [162, 617, 190, 646], \"label\": \"bullet hole\"},\n {\"box_2d\": [208, 888, 237, 918], \"label\": \"bullet hole\"},\n {\"box_2d\": [295, 62, 324, 92], \"label\": \"bullet hole\"},\n {\"box_2d\": [338, 322, 367, 352], \"label\": \"bullet hole\"},\n {\"box_2d\": [409, 921, 437, 948], \"label\": \"bullet hole\"},\n {\"box_2d\": [435, 670, 465, 701], \"label\": \"bullet hole\"},\n {\"box_2d\": [436, 309, 466, 339], \"label\": \"bullet hole\"},\n {\"box_2d\": [468, 142, 498, 171], \"label\": \"bullet hole\"},\n {\"box_2d\": [520, 541, 551, 571], \"label\": \"bullet hole\"},\n {\"box_2d\": [547, 962, 576, 992], \"label\": \"bullet hole\"},\n {\"box_2d\": [609, 880, 638, 909], \"label\": \"bullet hole\"},\n {\"box_2d\": [615, 405, 646, 437], \"label\": \"bullet hole\"},\n {\"box_2d\": [624, 0, 652, 23], \"label\": \"bullet hole\"},\n {\"box_2d\": [682, 265, 713, 297], \"label\": \"bullet hole\"},\n {\"box_2d\": [690, 722, 720, 753], \"label\": \"bullet hole\"},\n {\"box_2d\": [709, 566, 740, 598], \"label\": \"bullet hole\"},\n {\"box_2d\": [779, 363, 810, 396], \"label\": \"bullet hole\"},\n {\"box_2d\": [798, 0, 825, 18], \"label\": \"bullet hole\"},\n {\"box_2d\": [799, 228, 831, 258], \"label\": \"bullet hole\"},\n {\"box_2d\": [810, 811, 839, 839], \"label\": \"bullet hole\"},\n {\"box_2d\": [891, 185, 920, 214], \"label\": \"bullet hole\"},\n {\"box_2d\": [921, 631, 951, 661], \"label\": \"bullet hole\"},\n {\"box_2d\": [954, 976, 986, 1000], \"label\": \"bullet hole\"},\n {\"box_2d\": [982, 184, 1000, 211], \"label\": \"bullet hole\"},\n {\"box_2d\": [986, 522, 1000, 552], \"label\": \"bullet hole\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 3283, "elapsed_seconds": 30.23234954092186, "metadata": {"match_method": "map", "num_predictions": 32, "num_ground_truth": 32, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 30.2622}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 5, "image": "oil-tank-detection_oiltank_9_jpg.rf.acb372553a5f5f447313e4035eef562f.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [115, 97, 236, 205], \"label\": \"oil tank\"},\n {\"box_2d\": [109, 229, 230, 338], \"label\": \"oil tank\"},\n {\"box_2d\": [105, 361, 224, 470], \"label\": \"oil tank\"},\n {\"box_2d\": [100, 496, 219, 603], \"label\": \"oil tank\"},\n {\"box_2d\": [95, 627, 214, 735], \"label\": \"oil tank\"},\n {\"box_2d\": [90, 759, 209, 867], \"label\": \"oil tank\"},\n {\"box_2d\": [270, 99, 390, 208], \"label\": \"oil tank\"},\n {\"box_2d\": [265, 232, 384, 341], \"label\": \"oil tank\"},\n {\"box_2d\": [258, 366, 379, 476], \"label\": \"oil tank\"},\n {\"box_2d\": [251, 502, 372, 610], \"label\": \"oil tank\"},\n {\"box_2d\": [245, 634, 368, 742], \"label\": \"oil tank\"},\n {\"box_2d\": [240, 768, 362, 876], \"label\": \"oil tank\"},\n {\"box_2d\": [480, 96, 608, 211], \"label\": \"oil tank\"},\n {\"box_2d\": [475, 232, 604, 346], \"label\": \"oil tank\"},\n {\"box_2d\": [470, 368, 598, 482], \"label\": \"oil tank\"},\n {\"box_2d\": [466, 504, 591, 616], \"label\": \"oil tank\"},\n {\"box_2d\": [461, 640, 586, 753], \"label\": \"oil tank\"},\n {\"box_2d\": [625, 367, 756, 485], \"label\": \"oil tank\"},\n {\"box_2d\": [619, 507, 750, 622], \"label\": \"oil tank\"},\n {\"box_2d\": [613, 646, 743, 760], \"label\": \"oil tank\"}\n]\n```", "correct": true, "input_tokens": 1217, "output_tokens": 1888, "elapsed_seconds": 18.029603042057715, "metadata": {"match_method": "map", "num_predictions": 20, "num_ground_truth": 20, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 18.1121}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 6, "image": "signatures_image_38_png_jpg.rf.1d9c4bd922f8563e58275de808cd3984.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [362, 745, 412, 931], \"label\": \"signature\"},\n {\"box_2d\": [440, 643, 468, 703], \"label\": \"signature\"},\n {\"box_2d\": [859, 759, 917, 949], \"label\": \"signature\"},\n {\"box_2d\": [950, 633, 982, 696], \"label\": \"signature\"}\n]\n```", "correct": true, "input_tokens": 1211, "output_tokens": 1414, "elapsed_seconds": 20.315708542009816, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 20.3469}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 7, "image": "1704193901210_jpg.rf.2395376f26cee29d85e60b22c59c37b4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [266, 411, 329, 469], \"label\": \"corn kernel\"},\n {\"box_2d\": [309, 527, 355, 600], \"label\": \"corn kernel\"},\n {\"box_2d\": [403, 316, 474, 372], \"label\": \"corn kernel\"},\n {\"box_2d\": [576, 262, 636, 305], \"label\": \"corn kernel\"},\n {\"box_2d\": [540, 425, 590, 490], \"label\": \"corn kernel\"},\n {\"box_2d\": [617, 562, 678, 611], \"label\": \"corn kernel\"},\n {\"box_2d\": [418, 617, 477, 681], \"label\": \"corn kernel\"},\n {\"box_2d\": [532, 654, 583, 728], \"label\": \"corn kernel\"},\n {\"box_2d\": [454, 783, 502, 845], \"label\": \"corn kernel\"},\n {\"box_2d\": [513, 770, 578, 814], \"label\": \"corn kernel\"},\n {\"box_2d\": [609, 747, 661, 806], \"label\": \"corn kernel\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 1125, "elapsed_seconds": 11.374734416021965, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 11.3885}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 8, "image": "IMG_0620_jpeg.rf.0c9c3b0a23079483a0b0e1651801d9a9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [289, 382, 369, 475], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [280, 511, 377, 583], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [285, 580, 391, 644], \"label\": \"caramel corn jelly bean\"},\n {\"box_2d\": [377, 263, 492, 330], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [396, 388, 502, 480], \"label\": \"peach jelly bean\"},\n {\"box_2d\": [380, 510, 488, 594], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [506, 331, 643, 415], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [488, 512, 614, 595], \"label\": \"peach jelly bean\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 1367, "elapsed_seconds": 14.14744279102888, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 14.1888}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 9, "image": "paper-parts_163482_102_jpg.rf.d878bfe8193ad78ee6e9bd012ea9324e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [94, 118, 108, 573], \"label\": \"subsection\"},\n {\"box_2d\": [128, 118, 142, 708], \"label\": \"paragraph\"},\n {\"box_2d\": [196, 335, 343, 667], \"label\": \"figure\"},\n {\"box_2d\": [369, 341, 382, 658], \"label\": \"figure caption\"},\n {\"box_2d\": [432, 118, 447, 493], \"label\": \"subsection\"},\n {\"box_2d\": [466, 118, 513, 862], \"label\": \"paragraph\"},\n {\"box_2d\": [529, 334, 567, 666], \"label\": \"equation\"},\n {\"box_2d\": [581, 421, 610, 579], \"label\": \"equation\"},\n {\"box_2d\": [624, 118, 637, 613], \"label\": \"paragraph\"},\n {\"box_2d\": [654, 338, 692, 662], \"label\": \"equation\"},\n {\"box_2d\": [706, 430, 736, 569], \"label\": \"equation\"},\n {\"box_2d\": [749, 118, 762, 547], \"label\": \"paragraph\"},\n {\"box_2d\": [779, 329, 817, 671], \"label\": \"equation\"},\n {\"box_2d\": [831, 430, 861, 569], \"label\": \"equation\"},\n {\"box_2d\": [923, 491, 936, 509], \"label\": \"page number\"}\n]\n```", "correct": false, "input_tokens": 1250, "output_tokens": 2385, "elapsed_seconds": 23.253522915998474, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 14, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7817656397819519, "attempts": 1, "retries": 0, "total_seconds": 23.2861}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 10, "image": "20210325_203432_jpg.rf.8eb2129f7a101d085f4cb925da755682.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [103, 273, 312, 480], \"label\": \"50 euro cent coin\"},\n {\"box_2d\": [134, 614, 294, 773], \"label\": \"2 euro cent coin\"},\n {\"box_2d\": [291, 461, 456, 628], \"label\": \"10 euro cent coin\"},\n {\"box_2d\": [331, 661, 520, 848], \"label\": \"20 euro cent coin\"},\n {\"box_2d\": [378, 164, 575, 361], \"label\": \"1 euro coin\"},\n {\"box_2d\": [536, 419, 675, 555], \"label\": \"1 euro cent coin\"},\n {\"box_2d\": [702, 203, 881, 383], \"label\": \"5 euro cent coin\"},\n {\"box_2d\": [650, 544, 869, 761], \"label\": \"2 euro coin\"}\n]\n```", "correct": true, "input_tokens": 1272, "output_tokens": 1003, "elapsed_seconds": 8.731949749984778, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 8.7579}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 11, "image": "2024-12-05T02-01-20-119Z-4010_jpg.rf.4f789285ff5c3a1889420326440bc9d1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [374, 483, 439, 531], \"label\": \"screw\"},\n {\"box_2d\": [632, 490, 697, 539], \"label\": \"screw\"},\n {\"box_2d\": [829, 700, 907, 757], \"label\": \"screw\"}\n]\n```", "correct": false, "input_tokens": 1203, "output_tokens": 2574, "elapsed_seconds": 29.737615374964662, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5, "attempts": 1, "retries": 0, "total_seconds": 29.8882}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 12, "image": "Container-146_jpg.rf.1f5b3bfa7143f6b016b2b85ca3940e5c.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [158, 608, 202, 916], \"label\": \"shipping container number\"},\n {\"box_2d\": [213, 749, 251, 825], \"label\": \"container ISO type code\"}\n]\n```", "correct": true, "input_tokens": 1232, "output_tokens": 439, "elapsed_seconds": 5.470205125049688, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 5.4872}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 13, "image": "GP010248_JPG_jpg.rf.c2ac2602f1905971af1173c3ba311542.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [465, 29, 712, 141], \"label\": \"carrot\"},\n {\"box_2d\": [368, 40, 522, 152], \"label\": \"carrot\"},\n {\"box_2d\": [403, 118, 675, 190], \"label\": \"carrot\"},\n {\"box_2d\": [345, 118, 388, 356], \"label\": \"carrot\"},\n {\"box_2d\": [375, 144, 440, 342], \"label\": \"carrot\"},\n {\"box_2d\": [288, 181, 353, 412], \"label\": \"carrot\"},\n {\"box_2d\": [269, 279, 308, 459], \"label\": \"carrot\"},\n {\"box_2d\": [229, 301, 286, 496], \"label\": \"carrot\"},\n {\"box_2d\": [345, 226, 487, 442], \"label\": \"carrot\"},\n {\"box_2d\": [478, 188, 684, 280], \"label\": \"carrot\"},\n {\"box_2d\": [447, 223, 681, 331], \"label\": \"carrot\"},\n {\"box_2d\": [492, 263, 670, 367], \"label\": \"carrot\"},\n {\"box_2d\": [511, 339, 681, 381], \"label\": \"carrot\"},\n {\"box_2d\": [429, 372, 616, 414], \"label\": \"carrot\"},\n {\"box_2d\": [388, 369, 668, 455], \"label\": \"carrot\"},\n {\"box_2d\": [632, 279, 719, 474], \"label\": \"carrot\"},\n {\"box_2d\": [649, 417, 695, 586], \"label\": \"carrot\"},\n {\"box_2d\": [495, 447, 581, 597], \"label\": \"carrot\"},\n {\"box_2d\": [528, 450, 614, 575], \"label\": \"carrot\"},\n {\"box_2d\": [557, 473, 663, 674], \"label\": \"carrot\"},\n {\"box_2d\": [605, 569, 653, 720], \"label\": \"carrot\"},\n {\"box_2d\": [439, 564, 586, 710], \"label\": \"carrot\"},\n {\"box_2d\": [377, 440, 443, 622], \"label\": \"carrot\"},\n {\"box_2d\": [352, 479, 416, 684], \"label\": \"carrot\"},\n {\"box_2d\": [334, 545, 366, 716], \"label\": \"carrot\"},\n {\"box_2d\": [303, 470, 338, 686], \"label\": \"carrot\"},\n {\"box_2d\": [218, 614, 330, 761], \"label\": \"carrot\"},\n {\"box_2d\": [421, 658, 550, 797], \"label\": \"carrot\"},\n {\"box_2d\": [243, 756, 473, 825], \"label\": \"carrot\"},\n {\"box_2d\": [356, 792, 578, 932], \"label\": \"carrot\"},\n {\"box_2d\": [536, 707, 646, 848], \"label\": \"carrot\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 2211, "elapsed_seconds": 19.6946391670499, "metadata": {"match_method": "map", "num_predictions": 31, "num_ground_truth": 31, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 19.7184}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 14, "image": "DJI_20230529095953_0646_T_JPG_jpg.rf.9806615efd3123cda770b6e1a3358930.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [234, 58, 250, 71], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [223, 147, 242, 161], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [180, 620, 200, 633], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [175, 664, 196, 679], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [586, 369, 604, 382], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [577, 459, 596, 473], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [572, 504, 591, 518], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [558, 640, 579, 654], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [555, 684, 575, 698], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [548, 789, 565, 802], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [975, 355, 994, 369], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [928, 814, 948, 828], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [924, 859, 944, 872], \"label\": \"solar panel hot spot\"}\n]\n```", "correct": true, "input_tokens": 1228, "output_tokens": 1740, "elapsed_seconds": 17.166700083995238, "metadata": {"match_method": "map", "num_predictions": 13, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8613861203193665, "attempts": 1, "retries": 0, "total_seconds": 17.1874}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 15, "image": "floorplan-windows-doors_1036_png.rf.377e8848ebf77a1b3fd4e54e9aaa327d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [767, 150, 788, 290], \"label\": \"window\"},\n {\"box_2d\": [771, 365, 845, 452], \"label\": \"door\"},\n {\"box_2d\": [442, 209, 502, 290], \"label\": \"door\"},\n {\"box_2d\": [162, 102, 182, 241], \"label\": \"window\"},\n {\"box_2d\": [164, 300, 183, 364], \"label\": \"window\"},\n {\"box_2d\": [109, 363, 250, 449], \"label\": \"door\"},\n {\"box_2d\": [169, 573, 187, 621], \"label\": \"window\"},\n {\"box_2d\": [171, 777, 189, 840], \"label\": \"window\"},\n {\"box_2d\": [114, 840, 255, 926], \"label\": \"door\"},\n {\"box_2d\": [331, 585, 382, 646], \"label\": \"door\"},\n {\"box_2d\": [320, 702, 382, 848], \"label\": \"door\"},\n {\"box_2d\": [491, 673, 553, 756], \"label\": \"door\"},\n {\"box_2d\": [551, 678, 616, 761], \"label\": \"door\"},\n {\"box_2d\": [655, 595, 684, 656], \"label\": \"door\"},\n {\"box_2d\": [771, 572, 790, 620], \"label\": \"window\"},\n {\"box_2d\": [772, 729, 793, 845], \"label\": \"window\"}\n]\n```", "correct": false, "input_tokens": 1211, "output_tokens": 2608, "elapsed_seconds": 26.07825570902787, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 19, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.781559407711029, "attempts": 1, "retries": 0, "total_seconds": 26.1348}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 16, "image": "IMG_4942_JPG.rf.2d54601c43bd5fdd67c9d6de8428a9ef.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [298, 528, 318, 538], \"label\": \"face\"},\n {\"box_2d\": [299, 555, 318, 565], \"label\": \"face\"},\n {\"box_2d\": [300, 612, 320, 622], \"label\": \"face\"},\n {\"box_2d\": [297, 639, 318, 649], \"label\": \"face\"},\n {\"box_2d\": [333, 660, 353, 671], \"label\": \"face\"},\n {\"box_2d\": [346, 692, 365, 703], \"label\": \"face\"},\n {\"box_2d\": [353, 730, 373, 742], \"label\": \"face\"},\n {\"box_2d\": [359, 754, 381, 765], \"label\": \"face\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 1478, "elapsed_seconds": 18.79030804208014, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 9, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7178217768669128, "attempts": 1, "retries": 0, "total_seconds": 19.1098}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 17, "image": "4103433_ContLeftUpper_f_jpg.rf.c38c0a22d926bfd30646b27374a1f854.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [259, 42, 291, 80], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [481, 22, 512, 50], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [267, 99, 303, 128], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [313, 99, 344, 127], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [365, 101, 418, 130], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [581, 96, 615, 132], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [588, 154, 624, 204], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [271, 180, 322, 208], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [327, 179, 358, 208], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [329, 259, 359, 286], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [384, 259, 413, 286], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [269, 338, 297, 364], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [330, 337, 360, 364], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [386, 338, 415, 366], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [389, 417, 416, 444], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [392, 498, 429, 522], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [442, 693, 471, 718], \"label\": \"shipping container wall dent\"}\n]\n```", "correct": false, "input_tokens": 1224, "output_tokens": 2360, "elapsed_seconds": 20.298296209075488, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.1330976039171219, "attempts": 1, "retries": 0, "total_seconds": 20.3905}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 18, "image": "a9f16c_8_1_png_jpg.rf.21f65c07fc1fd4b937623a9b2c4bf919.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [393, 21, 441, 39], \"label\": \"goalkeeper\"},\n {\"box_2d\": [342, 978, 386, 993], \"label\": \"goalkeeper\"},\n {\"box_2d\": [407, 401, 448, 417], \"label\": \"referee\"},\n {\"box_2d\": [853, 956, 938, 980], \"label\": \"referee\"},\n {\"box_2d\": [642, 560, 656, 568], \"label\": \"football\"},\n {\"box_2d\": [821, 280, 889, 300], \"label\": \"player\"},\n {\"box_2d\": [645, 279, 708, 298], \"label\": \"player\"},\n {\"box_2d\": [551, 189, 603, 213], \"label\": \"player\"},\n {\"box_2d\": [539, 206, 591, 227], \"label\": \"player\"},\n {\"box_2d\": [473, 206, 525, 226], \"label\": \"player\"},\n {\"box_2d\": [413, 232, 461, 246], \"label\": \"player\"},\n {\"box_2d\": [419, 286, 463, 304], \"label\": \"player\"},\n {\"box_2d\": [344, 271, 386, 284], \"label\": \"player\"},\n {\"box_2d\": [338, 297, 380, 310], \"label\": \"player\"},\n {\"box_2d\": [271, 326, 309, 336], \"label\": \"player\"},\n {\"box_2d\": [239, 408, 270, 415], \"label\": \"player\"},\n {\"box_2d\": [308, 449, 349, 460], \"label\": \"player\"},\n {\"box_2d\": [303, 467, 341, 476], \"label\": \"player\"},\n {\"box_2d\": [441, 404, 491, 419], \"label\": \"player\"},\n {\"box_2d\": [374, 534, 413, 545], \"label\": \"player\"},\n {\"box_2d\": [421, 523, 470, 534], \"label\": \"player\"},\n {\"box_2d\": [501, 513, 553, 526], \"label\": \"player\"},\n {\"box_2d\": [592, 563, 653, 586], \"label\": \"player\"},\n {\"box_2d\": [242, 647, 273, 654], \"label\": \"player\"},\n {\"box_2d\": [336, 729, 378, 740], \"label\": \"player\"}\n]\n```", "correct": true, "input_tokens": 1242, "output_tokens": 3288, "elapsed_seconds": 31.07493241596967, "metadata": {"match_method": "map", "num_predictions": 25, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9158415794372559, "attempts": 1, "retries": 0, "total_seconds": 31.1613}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 19, "image": "20230220_113558_jpg.rf.d5df52cc566f78f19b292c4a237d076c.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [760, 439, 955, 458], \"label\": \"crack\"}\n]\n```", "correct": false, "input_tokens": 1225, "output_tokens": 273, "elapsed_seconds": 4.4691905829822645, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 4.4824}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 20, "image": "frame_0277_jpg.rf.c6aa8dac950a9954eaaa15c2c1350db2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [9, 129, 64, 169], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [193, 127, 258, 174], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [334, 89, 405, 134], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [60, 270, 111, 296], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [134, 246, 192, 287], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [283, 237, 357, 281], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [445, 227, 525, 269], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [855, 217, 940, 265], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [31, 359, 86, 392], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [256, 369, 323, 406], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [52, 429, 121, 464], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [166, 433, 223, 467], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [332, 456, 405, 491], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [403, 467, 467, 507], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [605, 436, 675, 481], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [867, 494, 916, 539], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [31, 527, 94, 560], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [207, 533, 273, 571], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [309, 545, 365, 578], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [355, 586, 401, 612], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [449, 584, 511, 622], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [542, 553, 625, 592], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [95, 626, 148, 658], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [210, 639, 273, 672], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [331, 656, 391, 690], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [455, 675, 515, 711], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [627, 688, 663, 733], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 242, 34, 270], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 269, 37, 299], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 301, 43, 337], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [1, 412, 46, 440], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 447, 49, 476], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [6, 495, 47, 526], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [4, 541, 45, 567], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 565, 50, 592], \"label\": \"garlic on conveyor\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 3225, "elapsed_seconds": 26.40246404102072, "metadata": {"match_method": "map", "num_predictions": 35, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9900990128517151, "attempts": 1, "retries": 0, "total_seconds": 26.4925}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 21, "image": "construction-safety_ppe_0034_jpg.rf.38e91c4daafe26a0be27d2c1133af960.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [308, 76, 918, 201], \"label\": \"person\"},\n {\"box_2d\": [308, 134, 355, 183], \"label\": \"safety helmet\"},\n {\"box_2d\": [401, 96, 610, 194], \"label\": \"safety vest\"},\n {\"box_2d\": [373, 190, 918, 300], \"label\": \"person\"},\n {\"box_2d\": [373, 224, 421, 272], \"label\": \"safety helmet\"},\n {\"box_2d\": [457, 190, 672, 290], \"label\": \"safety vest\"},\n {\"box_2d\": [387, 292, 914, 385], \"label\": \"person\"},\n {\"box_2d\": [387, 322, 435, 368], \"label\": \"safety helmet\"},\n {\"box_2d\": [478, 292, 676, 383], \"label\": \"safety vest\"},\n {\"box_2d\": [383, 391, 908, 488], \"label\": \"person\"},\n {\"box_2d\": [382, 417, 434, 459], \"label\": \"safety helmet\"},\n {\"box_2d\": [461, 391, 718, 488], \"label\": \"safety vest\"},\n {\"box_2d\": [410, 480, 907, 560], \"label\": \"person\"},\n {\"box_2d\": [410, 500, 463, 546], \"label\": \"safety helmet\"},\n {\"box_2d\": [497, 484, 708, 559], \"label\": \"safety vest\"},\n {\"box_2d\": [371, 541, 904, 646], \"label\": \"person\"},\n {\"box_2d\": [371, 569, 414, 611], \"label\": \"safety helmet\"},\n {\"box_2d\": [447, 547, 689, 646], \"label\": \"safety vest\"},\n {\"box_2d\": [390, 631, 908, 731], \"label\": \"person\"},\n {\"box_2d\": [389, 660, 439, 703], \"label\": \"safety helmet\"},\n {\"box_2d\": [466, 646, 660, 729], \"label\": \"safety vest\"},\n {\"box_2d\": [366, 706, 910, 821], \"label\": \"person\"},\n {\"box_2d\": [366, 735, 410, 779], \"label\": \"safety helmet\"},\n {\"box_2d\": [451, 721, 643, 813], \"label\": \"safety vest\"},\n {\"box_2d\": [339, 806, 910, 922], \"label\": \"person\"},\n {\"box_2d\": [339, 832, 386, 878], \"label\": \"safety helmet\"},\n {\"box_2d\": [415, 823, 626, 911], \"label\": \"safety vest\"}\n]\n```", "correct": true, "input_tokens": 1222, "output_tokens": 2287, "elapsed_seconds": 20.749434542027302, "metadata": {"match_method": "map", "num_predictions": 27, "num_ground_truth": 27, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 20.7883}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 22, "image": "2024-12-05T02-00-55-647Z-1001_jpg.rf.c0a64fec0c1e44672b8338dc3d88f40e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [265, 675, 340, 731], \"label\": \"screw\"},\n {\"box_2d\": [430, 538, 498, 590], \"label\": \"cable screw\"},\n {\"box_2d\": [523, 678, 595, 734], \"label\": \"screw\"},\n {\"box_2d\": [591, 307, 735, 404], \"label\": \"wire hole\"}\n]\n```", "correct": false, "input_tokens": 1206, "output_tokens": 822, "elapsed_seconds": 11.567687208065763, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6666666269302368, "attempts": 1, "retries": 0, "total_seconds": 11.7752}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 23, "image": "uav20221018_ixfZ_3857_391_png.rf.363cfc1a99bee6043b1535d35e5cf8f5.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [5, 243, 47, 286], \"label\": \"banana tree\"},\n {\"box_2d\": [32, 300, 77, 336], \"label\": \"banana tree\"},\n {\"box_2d\": [71, 245, 111, 278], \"label\": \"banana tree\"},\n {\"box_2d\": [0, 548, 22, 581], \"label\": \"banana tree\"},\n {\"box_2d\": [22, 502, 59, 537], \"label\": \"banana tree\"},\n {\"box_2d\": [60, 553, 98, 585], \"label\": \"banana tree\"},\n {\"box_2d\": [128, 554, 169, 593], \"label\": \"banana tree\"},\n {\"box_2d\": [152, 494, 204, 539], \"label\": \"banana tree\"},\n {\"box_2d\": [193, 540, 243, 586], \"label\": \"banana tree\"},\n {\"box_2d\": [223, 491, 272, 535], \"label\": \"banana tree\"},\n {\"box_2d\": [269, 548, 311, 583], \"label\": \"banana tree\"},\n {\"box_2d\": [298, 498, 344, 536], \"label\": \"banana tree\"},\n {\"box_2d\": [333, 549, 376, 593], \"label\": \"banana tree\"},\n {\"box_2d\": [368, 493, 416, 544], \"label\": \"banana tree\"},\n {\"box_2d\": [406, 548, 452, 588], \"label\": \"banana tree\"},\n {\"box_2d\": [437, 498, 480, 534], \"label\": \"banana tree\"},\n {\"box_2d\": [0, 730, 32, 772], \"label\": \"banana tree\"},\n {\"box_2d\": [18, 792, 65, 832], \"label\": \"banana tree\"},\n {\"box_2d\": [59, 725, 102, 770], \"label\": \"banana tree\"},\n {\"box_2d\": [94, 794, 138, 829], \"label\": \"banana tree\"},\n {\"box_2d\": [126, 731, 174, 772], \"label\": \"banana tree\"},\n {\"box_2d\": [156, 788, 206, 828], \"label\": \"banana tree\"},\n {\"box_2d\": [198, 736, 236, 773], \"label\": \"banana tree\"},\n {\"box_2d\": [230, 797, 276, 831], \"label\": \"banana tree\"},\n {\"box_2d\": [265, 733, 309, 772], \"label\": \"banana tree\"},\n {\"box_2d\": [301, 795, 344, 832], \"label\": \"banana tree\"},\n {\"box_2d\": [337, 732, 381, 775], \"label\": \"banana tree\"},\n {\"box_2d\": [369, 791, 417, 830], \"label\": \"banana tree\"},\n {\"box_2d\": [403, 738, 450, 779], \"label\": \"banana tree\"},\n {\"box_2d\": [433, 795, 484, 840], \"label\": \"banana tree\"},\n {\"box_2d\": [475, 739, 521, 779], \"label\": \"banana tree\"},\n {\"box_2d\": [502, 799, 552, 830], \"label\": \"banana tree\"},\n {\"box_2d\": [543, 742, 587, 787], \"label\": \"banana tree\"},\n {\"box_2d\": [578, 793, 628, 840], \"label\": \"banana tree\"},\n {\"box_2d\": [610, 742, 655, 787], \"label\": \"banana tree\"},\n {\"box_2d\": [645, 794, 691, 841], \"label\": \"banana tree\"},\n {\"box_2d\": [672, 734, 727, 790], \"label\": \"banana tree\"},\n {\"box_2d\": [710, 798, 761, 844], \"label\": \"banana tree\"},\n {\"box_2d\": [751, 748, 791, 785], \"label\": \"banana tree\"},\n {\"box_2d\": [754, 791, 811, 837], \"label\": \"banana tree\"},\n {\"box_2d\": [29, 976, 68, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [100, 978, 139, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [168, 979, 211, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [238, 981, 279, 1000], \"label\": \"banana tree\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 3987, "elapsed_seconds": 31.550011499901302, "metadata": {"match_method": "map", "num_predictions": 44, "num_ground_truth": 43, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.958317220211029, "attempts": 1, "retries": 0, "total_seconds": 31.6192}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 24, "image": "fabric-defect_511_jpg.rf.c9746a1a958e01686335a4e0e7bec57c.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [417, 400, 570, 488], \"label\": \"fabric cut\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 379, "elapsed_seconds": 6.376997874933295, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 6.392}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 25, "image": "z4517190691608_e13e5a7742dfd1e1497d7f34e43b9a19_jpg.rf.53f3adf34b3bcf75125b6512855911b0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [92, 326, 193, 478], \"label\": \"5 poker chip\"},\n {\"box_2d\": [128, 485, 233, 641], \"label\": \"5 poker chip\"},\n {\"box_2d\": [187, 349, 294, 506], \"label\": \"5 poker chip\"},\n {\"box_2d\": [194, 168, 302, 326], \"label\": \"5 poker chip\"},\n {\"box_2d\": [244, 480, 355, 641], \"label\": \"10 poker chip\"},\n {\"box_2d\": [526, 309, 660, 485], \"label\": \"10 poker chip\"},\n {\"box_2d\": [190, 648, 298, 809], \"label\": \"20 poker chip\"},\n {\"box_2d\": [349, 516, 468, 684], \"label\": \"20 poker chip\"},\n {\"box_2d\": [372, 353, 490, 519], \"label\": \"20 poker chip\"},\n {\"box_2d\": [460, 459, 586, 632], \"label\": \"20 poker chip\"},\n {\"box_2d\": [584, 482, 725, 665], \"label\": \"20 poker chip\"},\n {\"box_2d\": [663, 294, 809, 479], \"label\": \"20 poker chip\"},\n {\"box_2d\": [298, 670, 415, 841], \"label\": \"50 poker chip\"},\n {\"box_2d\": [591, 149, 730, 329], \"label\": \"50 poker chip\"},\n {\"box_2d\": [733, 453, 888, 646], \"label\": \"50 poker chip\"},\n {\"box_2d\": [757, 655, 916, 853], \"label\": \"50 poker chip\"},\n {\"box_2d\": [346, 111, 464, 277], \"label\": \"100 poker chip\"},\n {\"box_2d\": [432, 206, 557, 377], \"label\": \"100 poker chip\"},\n {\"box_2d\": [279, 273, 391, 434], \"label\": \"500 poker chip\"},\n {\"box_2d\": [614, 717, 758, 907], \"label\": \"500 poker chip\"},\n {\"box_2d\": [494, 635, 628, 818], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [429, 822, 559, 1000], \"label\": \"5000 poker chip\"}\n]\n```", "correct": true, "input_tokens": 1251, "output_tokens": 1595, "elapsed_seconds": 16.537143083056435, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 16.7317}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 26, "image": "floorplan-windows-doors_10156_png.rf.46b4865a81b54b57dfa53b894c0a0632.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [209, 297, 323, 358], \"label\": \"door\"},\n {\"box_2d\": [253, 239, 272, 297], \"label\": \"window\"},\n {\"box_2d\": [254, 369, 274, 470], \"label\": \"window\"},\n {\"box_2d\": [253, 646, 273, 747], \"label\": \"window\"},\n {\"box_2d\": [254, 815, 275, 860], \"label\": \"window\"},\n {\"box_2d\": [384, 806, 432, 854], \"label\": \"door\"},\n {\"box_2d\": [450, 741, 508, 803], \"label\": \"door\"},\n {\"box_2d\": [529, 751, 577, 803], \"label\": \"door\"},\n {\"box_2d\": [624, 741, 682, 801], \"label\": \"door\"},\n {\"box_2d\": [695, 236, 742, 282], \"label\": \"door\"},\n {\"box_2d\": [734, 296, 795, 359], \"label\": \"door\"},\n {\"box_2d\": [820, 297, 885, 358], \"label\": \"door\"},\n {\"box_2d\": [911, 268, 970, 329], \"label\": \"door\"},\n {\"box_2d\": [819, 390, 839, 490], \"label\": \"window\"},\n {\"box_2d\": [819, 648, 839, 749], \"label\": \"window\"},\n {\"box_2d\": [820, 782, 840, 840], \"label\": \"window\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 2048, "elapsed_seconds": 18.896658333018422, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 17, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9504950642585754, "attempts": 1, "retries": 0, "total_seconds": 18.9504}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 27, "image": "fabric-defect_323_jpg.rf.371f41f855eb62c4f2068f1bac0ca297.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 356, 1000, 920], \"label\": \"fabric cut\"}\n]\n```", "correct": false, "input_tokens": 1226, "output_tokens": 2745, "elapsed_seconds": 38.35585012496449, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 2, "retries": 1, "total_seconds": 101.1235, "transient_errors": ["RemoteProtocolError"]}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 28, "image": "54_png.rf.e797ccd3ab1732fcc95dc8f12eac1e73.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [197, 78, 303, 136], \"label\": \"not gate symbol\"},\n {\"box_2d\": [197, 179, 303, 237], \"label\": \"not gate symbol\"},\n {\"box_2d\": [197, 279, 303, 336], \"label\": \"not gate symbol\"},\n {\"box_2d\": [197, 379, 303, 437], \"label\": \"not gate symbol\"},\n {\"box_2d\": [311, 513, 432, 613], \"label\": \"and gate symbol\"},\n {\"box_2d\": [453, 513, 574, 613], \"label\": \"and gate symbol\"},\n {\"box_2d\": [595, 513, 716, 613], \"label\": \"and gate symbol\"},\n {\"box_2d\": [736, 513, 858, 613], \"label\": \"and gate symbol\"},\n {\"box_2d\": [382, 659, 503, 759], \"label\": \"or gate symbol\"},\n {\"box_2d\": [666, 659, 787, 759], \"label\": \"or gate symbol\"},\n {\"box_2d\": [523, 806, 645, 906], \"label\": \"and gate symbol\"}\n]\n```", "correct": true, "input_tokens": 1212, "output_tokens": 1293, "elapsed_seconds": 11.596259291982278, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 11.6015}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 29, "image": "IMG_3802_JPG.rf.a7e888d2c6d99ef929355eb2fffb322e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [474, 378, 507, 396], \"label\": \"face\"},\n {\"box_2d\": [479, 436, 512, 452], \"label\": \"face\"},\n {\"box_2d\": [437, 524, 468, 540], \"label\": \"face\"},\n {\"box_2d\": [302, 338, 326, 350], \"label\": \"face\"},\n {\"box_2d\": [311, 360, 333, 372], \"label\": \"face\"},\n {\"box_2d\": [231, 414, 250, 424], \"label\": \"face\"},\n {\"box_2d\": [237, 439, 256, 449], \"label\": \"face\"},\n {\"box_2d\": [250, 498, 270, 508], \"label\": \"face\"},\n {\"box_2d\": [252, 430, 274, 441], \"label\": \"face\"},\n {\"box_2d\": [196, 248, 222, 261], \"label\": \"face\"},\n {\"box_2d\": [191, 227, 217, 238], \"label\": \"face\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 1743, "elapsed_seconds": 17.723491625045426, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7227723002433777, "attempts": 1, "retries": 0, "total_seconds": 18.0423}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 30, "image": "DJI_20230529112019_0221_T_JPG_jpg.rf.8e72d3393da7d92494fccfb7bb75bfc8.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [70, 159, 91, 176], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [78, 200, 99, 216], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [87, 242, 104, 256], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [166, 664, 186, 679], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [174, 705, 193, 719], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [183, 746, 200, 759], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [104, 838, 123, 852], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [112, 876, 134, 892], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [209, 866, 227, 880], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [521, 656, 542, 672], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [529, 698, 548, 712], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [536, 739, 556, 753], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [545, 780, 564, 793], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [552, 821, 570, 834], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [850, 498, 866, 511], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [856, 537, 875, 551], \"label\": \"solar panel hot spot\"}\n]\n```", "correct": true, "input_tokens": 1228, "output_tokens": 1967, "elapsed_seconds": 20.54750495904591, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 17, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9405940771102905, "attempts": 1, "retries": 0, "total_seconds": 20.5671}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 31, "image": "Atlantic_2025_NCPT-189_JPG_jpg.rf.7a382ad19f3061fc65305d93b2678aef.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [128, 251, 217, 286], \"label\": \"potato\"},\n {\"box_2d\": [12, 300, 77, 326], \"label\": \"potato\"},\n {\"box_2d\": [118, 296, 183, 322], \"label\": \"potato\"},\n {\"box_2d\": [350, 285, 448, 329], \"label\": \"potato\"},\n {\"box_2d\": [446, 289, 533, 325], \"label\": \"potato\"},\n {\"box_2d\": [546, 284, 650, 329], \"label\": \"potato\"},\n {\"box_2d\": [654, 289, 722, 316], \"label\": \"potato\"},\n {\"box_2d\": [721, 282, 833, 322], \"label\": \"potato\"},\n {\"box_2d\": [833, 288, 898, 315], \"label\": \"potato\"},\n {\"box_2d\": [9, 339, 95, 370], \"label\": \"potato\"},\n {\"box_2d\": [134, 336, 218, 370], \"label\": \"potato\"},\n {\"box_2d\": [216, 340, 281, 366], \"label\": \"potato\"},\n {\"box_2d\": [342, 336, 438, 370], \"label\": \"potato\"},\n {\"box_2d\": [436, 338, 502, 365], \"label\": \"potato\"},\n {\"box_2d\": [501, 328, 608, 372], \"label\": \"potato\"},\n {\"box_2d\": [616, 333, 687, 362], \"label\": \"potato\"},\n {\"box_2d\": [689, 336, 761, 363], \"label\": \"potato\"},\n {\"box_2d\": [775, 330, 864, 368], \"label\": \"potato\"},\n {\"box_2d\": [19, 384, 108, 417], \"label\": \"potato\"},\n {\"box_2d\": [159, 383, 234, 416], \"label\": \"potato\"},\n {\"box_2d\": [231, 383, 290, 409], \"label\": \"potato\"},\n {\"box_2d\": [285, 374, 391, 413], \"label\": \"potato\"},\n {\"box_2d\": [398, 381, 483, 415], \"label\": \"potato\"},\n {\"box_2d\": [477, 375, 569, 411], \"label\": \"potato\"},\n {\"box_2d\": [582, 373, 669, 412], \"label\": \"potato\"},\n {\"box_2d\": [757, 373, 843, 409], \"label\": \"potato\"},\n {\"box_2d\": [8, 426, 86, 459], \"label\": \"potato\"},\n {\"box_2d\": [100, 420, 200, 459], \"label\": \"potato\"},\n {\"box_2d\": [216, 408, 323, 459], \"label\": \"potato\"},\n {\"box_2d\": [318, 426, 384, 455], \"label\": \"potato\"},\n {\"box_2d\": [398, 413, 511, 458], \"label\": \"potato\"},\n {\"box_2d\": [581, 415, 687, 455], \"label\": \"potato\"},\n {\"box_2d\": [750, 419, 829, 448], \"label\": \"potato\"},\n {\"box_2d\": [918, 418, 999, 454], \"label\": \"potato\"},\n {\"box_2d\": [6, 472, 83, 504], \"label\": \"potato\"},\n {\"box_2d\": [81, 471, 155, 502], \"label\": \"potato\"},\n {\"box_2d\": [154, 466, 268, 509], \"label\": \"potato\"},\n {\"box_2d\": [266, 464, 367, 506], \"label\": \"potato\"},\n {\"box_2d\": [365, 463, 452, 502], \"label\": \"potato\"},\n {\"box_2d\": [458, 466, 545, 497], \"label\": \"potato\"},\n {\"box_2d\": [584, 463, 680, 499], \"label\": \"potato\"},\n {\"box_2d\": [692, 467, 754, 492], \"label\": \"potato\"},\n {\"box_2d\": [843, 462, 926, 494], \"label\": \"potato\"},\n {\"box_2d\": [6, 517, 74, 546], \"label\": \"potato\"},\n {\"box_2d\": [71, 511, 147, 546], \"label\": \"potato\"},\n {\"box_2d\": [145, 513, 244, 546], \"label\": \"potato\"},\n {\"box_2d\": [254, 511, 361, 552], \"label\": \"potato\"},\n {\"box_2d\": [357, 511, 446, 546], \"label\": \"potato\"},\n {\"box_2d\": [470, 500, 577, 545], \"label\": \"potato\"},\n {\"box_2d\": [576, 508, 682, 551], \"label\": \"potato\"},\n {\"box_2d\": [866, 506, 951, 538], \"label\": \"potato\"},\n {\"box_2d\": [196, 552, 291, 592], \"label\": \"potato\"},\n {\"box_2d\": [289, 558, 367, 590], \"label\": \"potato\"},\n {\"box_2d\": [369, 550, 485, 605], \"label\": \"potato\"},\n {\"box_2d\": [481, 552, 570, 588], \"label\": \"potato\"},\n {\"box_2d\": [663, 552, 771, 593], \"label\": \"potato\"},\n {\"box_2d\": [6, 606, 82, 634], \"label\": \"potato\"},\n {\"box_2d\": [116, 598, 219, 639], \"label\": \"potato\"},\n {\"box_2d\": [375, 601, 472, 639], \"label\": \"potato\"},\n {\"box_2d\": [506, 596, 615, 636], \"label\": \"potato\"},\n {\"box_2d\": [735, 591, 837, 627], \"label\": \"potato\"},\n {\"box_2d\": [145, 639, 249, 682], \"label\": \"potato\"},\n {\"box_2d\": [266, 646, 335, 674], \"label\": \"potato\"},\n {\"box_2d\": [479, 635, 600, 677], \"label\": \"potato\"},\n {\"box_2d\": [97, 685, 177, 721], \"label\": \"potato\"},\n {\"box_2d\": [210, 688, 317, 726], \"label\": \"potato\"},\n {\"box_2d\": [317, 680, 431, 726], \"label\": \"potato\"},\n {\"box_2d\": [687, 680, 795, 717], \"label\": \"potato\"},\n {\"box_2d\": [23, 728, 118, 770], \"label\": \"potato\"},\n {\"box_2d\": [122, 734, 184, 761], \"label\": \"potato\"},\n {\"box_2d\": [302, 731, 384, 763], \"label\": \"potato\"},\n {\"box_2d\": [442, 724, 536, 763], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 5078, "elapsed_seconds": 51.56020066596102, "metadata": {"match_method": "map", "num_predictions": 72, "num_ground_truth": 72, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 52.0189}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 32, "image": "V000078_0_0_jpeg_jpg.rf.ea93b54e17810ab845506f60bf69b7dd.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [163, 343, 212, 443], \"label\": \"surface roughness symbol\"},\n {\"box_2d\": [266, 170, 322, 234], \"label\": \"dimension annotation\"},\n {\"box_2d\": [274, 236, 322, 435], \"label\": \"dimension annotation\"},\n {\"box_2d\": [289, 432, 322, 483], \"label\": \"dimension annotation\"},\n {\"box_2d\": [289, 490, 322, 565], \"label\": \"dimension annotation\"},\n {\"box_2d\": [266, 170, 370, 483], \"label\": \"dimension annotation\"},\n {\"box_2d\": [338, 480, 370, 551], \"label\": \"dimension annotation\"},\n {\"box_2d\": [124, 643, 330, 895], \"label\": \"dimension annotation\"},\n {\"box_2d\": [153, 696, 308, 929], \"label\": \"dimension annotation\"},\n {\"box_2d\": [292, 693, 381, 821], \"label\": \"dimension annotation\"},\n {\"box_2d\": [442, 136, 491, 224], \"label\": \"dimension annotation\"},\n {\"box_2d\": [442, 205, 486, 303], \"label\": \"dimension annotation\"},\n {\"box_2d\": [441, 497, 466, 601], \"label\": \"dimension annotation\"},\n {\"box_2d\": [493, 126, 531, 170], \"label\": \"dimension annotation\"},\n {\"box_2d\": [499, 184, 585, 217], \"label\": \"dimension annotation\"},\n {\"box_2d\": [476, 298, 577, 338], \"label\": \"dimension annotation\"},\n {\"box_2d\": [468, 565, 556, 628], \"label\": \"dimension annotation\"},\n {\"box_2d\": [800, 94, 967, 954], \"label\": \"technical drawing table\"}\n]\n```", "correct": false, "input_tokens": 1237, "output_tokens": 2244, "elapsed_seconds": 19.944667916977778, "metadata": {"match_method": "map", "num_predictions": 18, "num_ground_truth": 18, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.666666567325592, "attempts": 1, "retries": 0, "total_seconds": 19.9552}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 33, "image": "1226_8_jpg.rf.ca0a21572938b5c31e601cfcbf119e1e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [17, 19, 118, 117], \"label\": \"black rook\"},\n {\"box_2d\": [0, 139, 95, 245], \"label\": \"black knight\"},\n {\"box_2d\": [37, 265, 134, 355], \"label\": \"black bishop\"},\n {\"box_2d\": [9, 402, 128, 491], \"label\": \"black king\"},\n {\"box_2d\": [8, 531, 126, 622], \"label\": \"black queen\"},\n {\"box_2d\": [16, 899, 116, 999], \"label\": \"black rook\"},\n {\"box_2d\": [140, 44, 214, 120], \"label\": \"black pawn\"},\n {\"box_2d\": [162, 651, 234, 725], \"label\": \"black pawn\"},\n {\"box_2d\": [168, 764, 241, 840], \"label\": \"black pawn\"},\n {\"box_2d\": [176, 913, 250, 997], \"label\": \"black pawn\"},\n {\"box_2d\": [280, 287, 352, 359], \"label\": \"black pawn\"},\n {\"box_2d\": [285, 398, 374, 488], \"label\": \"black bishop\"},\n {\"box_2d\": [425, 537, 496, 608], \"label\": \"black pawn\"},\n {\"box_2d\": [411, 894, 491, 1000], \"label\": \"black knight\"},\n {\"box_2d\": [523, 294, 594, 365], \"label\": \"white pawn\"},\n {\"box_2d\": [551, 759, 623, 835], \"label\": \"white pawn\"},\n {\"box_2d\": [642, 400, 714, 471], \"label\": \"white pawn\"},\n {\"box_2d\": [629, 640, 711, 745], \"label\": \"white knight\"},\n {\"box_2d\": [758, 56, 830, 134], \"label\": \"white pawn\"},\n {\"box_2d\": [768, 170, 841, 244], \"label\": \"white pawn\"},\n {\"box_2d\": [787, 641, 862, 714], \"label\": \"white pawn\"},\n {\"box_2d\": [773, 891, 847, 973], \"label\": \"white pawn\"},\n {\"box_2d\": [869, 39, 969, 135], \"label\": \"white rook\"},\n {\"box_2d\": [866, 132, 959, 241], \"label\": \"white knight\"},\n {\"box_2d\": [872, 281, 973, 373], \"label\": \"white bishop\"},\n {\"box_2d\": [865, 407, 989, 499], \"label\": \"white king\"},\n {\"box_2d\": [865, 532, 989, 622], \"label\": \"white queen\"},\n {\"box_2d\": [869, 653, 973, 747], \"label\": \"white bishop\"},\n {\"box_2d\": [878, 886, 979, 991], \"label\": \"white rook\"}\n]\n```", "correct": true, "input_tokens": 1259, "output_tokens": 2884, "elapsed_seconds": 32.906506125000305, "metadata": {"match_method": "map", "num_predictions": 29, "num_ground_truth": 29, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 33.1131}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 34, "image": "1218_18_jpg.rf.8c844a918f3bbbea9bc4a4e8bb703b7d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [32, 521, 131, 610], \"label\": \"black bishop\"},\n {\"box_2d\": [136, 7, 224, 105], \"label\": \"white rook\"},\n {\"box_2d\": [252, 255, 342, 348], \"label\": \"black knight\"},\n {\"box_2d\": [259, 631, 352, 718], \"label\": \"white knight\"},\n {\"box_2d\": [264, 875, 360, 1000], \"label\": \"white queen\"},\n {\"box_2d\": [378, 3, 464, 120], \"label\": \"black queen\"},\n {\"box_2d\": [508, 0, 600, 120], \"label\": \"white king\"},\n {\"box_2d\": [516, 279, 603, 369], \"label\": \"white bishop\"},\n {\"box_2d\": [518, 523, 606, 612], \"label\": \"black king\"},\n {\"box_2d\": [537, 764, 607, 839], \"label\": \"white pawn\"},\n {\"box_2d\": [626, 389, 708, 480], \"label\": \"black knight\"},\n {\"box_2d\": [638, 521, 719, 603], \"label\": \"white rook\"},\n {\"box_2d\": [641, 882, 722, 994], \"label\": \"white knight\"},\n {\"box_2d\": [746, 139, 850, 245], \"label\": \"white queen\"},\n {\"box_2d\": [772, 642, 845, 715], \"label\": \"black pawn\"},\n {\"box_2d\": [765, 768, 854, 860], \"label\": \"black rook\"},\n {\"box_2d\": [891, 405, 969, 480], \"label\": \"white pawn\"},\n {\"box_2d\": [880, 761, 1000, 871], \"label\": \"black queen\"}\n]\n```", "correct": true, "input_tokens": 1259, "output_tokens": 1817, "elapsed_seconds": 17.397009167005308, "metadata": {"match_method": "map", "num_predictions": 18, "num_ground_truth": 18, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 17.5882}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 35, "image": "42ba34_3_4_png_jpg.rf.963d6715a391a3a2fee3176cace44325.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [375, 0, 419, 12], \"label\": \"goalkeeper\"},\n {\"box_2d\": [682, 151, 740, 170], \"label\": \"player\"},\n {\"box_2d\": [580, 234, 636, 249], \"label\": \"player\"},\n {\"box_2d\": [519, 281, 571, 294], \"label\": \"player\"},\n {\"box_2d\": [490, 265, 545, 275], \"label\": \"player\"},\n {\"box_2d\": [352, 250, 392, 260], \"label\": \"player\"},\n {\"box_2d\": [354, 257, 394, 267], \"label\": \"player\"},\n {\"box_2d\": [304, 281, 337, 290], \"label\": \"player\"},\n {\"box_2d\": [295, 317, 329, 326], \"label\": \"player\"},\n {\"box_2d\": [403, 350, 448, 360], \"label\": \"referee\"},\n {\"box_2d\": [278, 405, 315, 414], \"label\": \"player\"},\n {\"box_2d\": [356, 434, 397, 444], \"label\": \"player\"},\n {\"box_2d\": [335, 463, 371, 474], \"label\": \"player\"},\n {\"box_2d\": [247, 491, 277, 498], \"label\": \"player\"},\n {\"box_2d\": [355, 586, 395, 595], \"label\": \"player\"},\n {\"box_2d\": [487, 563, 536, 576], \"label\": \"player\"},\n {\"box_2d\": [542, 583, 597, 596], \"label\": \"player\"},\n {\"box_2d\": [530, 606, 581, 619], \"label\": \"player\"},\n {\"box_2d\": [468, 675, 519, 688], \"label\": \"player\"},\n {\"box_2d\": [294, 689, 333, 699], \"label\": \"player\"},\n {\"box_2d\": [454, 722, 502, 735], \"label\": \"player\"},\n {\"box_2d\": [424, 804, 471, 815], \"label\": \"player\"},\n {\"box_2d\": [352, 913, 390, 926], \"label\": \"goalkeeper\"},\n {\"box_2d\": [640, 956, 696, 978], \"label\": \"referee\"}\n]\n```", "correct": false, "input_tokens": 1242, "output_tokens": 3226, "elapsed_seconds": 27.661577124963515, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6658415794372559, "attempts": 1, "retries": 0, "total_seconds": 27.7534}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 36, "image": "170567v_JPG_jpg.rf.b4ec6b9d23ca24e31da874cd6f035dfa.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [445, 272, 783, 853], \"label\": \"cracked insulator\"}\n]\n```", "correct": false, "input_tokens": 1244, "output_tokens": 3772, "elapsed_seconds": 53.48148741701152, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 6, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 2, "retries": 1, "total_seconds": 120.1612, "transient_errors": ["RemoteProtocolError"]}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 37, "image": "wood-log-detection_092_png_jpg.rf.b7bfbb1ba7a477ea02f5974fce28583e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [38, 336, 94, 386], \"label\": \"log cross-section\"},\n {\"box_2d\": [72, 530, 144, 586], \"label\": \"log cross-section\"},\n {\"box_2d\": [84, 623, 128, 658], \"label\": \"log cross-section\"},\n {\"box_2d\": [91, 495, 142, 533], \"label\": \"log cross-section\"},\n {\"box_2d\": [94, 383, 139, 422], \"label\": \"log cross-section\"},\n {\"box_2d\": [97, 319, 144, 356], \"label\": \"log cross-section\"},\n {\"box_2d\": [102, 466, 147, 498], \"label\": \"log cross-section\"},\n {\"box_2d\": [111, 280, 156, 320], \"label\": \"log cross-section\"},\n {\"box_2d\": [114, 584, 166, 622], \"label\": \"log cross-section\"},\n {\"box_2d\": [116, 647, 169, 686], \"label\": \"log cross-section\"},\n {\"box_2d\": [125, 214, 173, 255], \"label\": \"log cross-section\"},\n {\"box_2d\": [139, 497, 189, 538], \"label\": \"log cross-section\"},\n {\"box_2d\": [139, 678, 223, 742], \"label\": \"log cross-section\"},\n {\"box_2d\": [141, 317, 181, 348], \"label\": \"log cross-section\"},\n {\"box_2d\": [142, 350, 211, 402], \"label\": \"log cross-section\"},\n {\"box_2d\": [152, 434, 211, 477], \"label\": \"log cross-section\"},\n {\"box_2d\": [152, 531, 216, 583], \"label\": \"log cross-section\"},\n {\"box_2d\": [156, 259, 234, 317], \"label\": \"log cross-section\"},\n {\"box_2d\": [162, 742, 203, 775], \"label\": \"log cross-section\"},\n {\"box_2d\": [162, 780, 206, 811], \"label\": \"log cross-section\"},\n {\"box_2d\": [164, 630, 227, 680], \"label\": \"log cross-section\"},\n {\"box_2d\": [164, 806, 227, 850], \"label\": \"log cross-section\"},\n {\"box_2d\": [173, 583, 220, 620], \"label\": \"log cross-section\"},\n {\"box_2d\": [178, 406, 212, 433], \"label\": \"log cross-section\"},\n {\"box_2d\": [181, 469, 222, 498], \"label\": \"log cross-section\"},\n {\"box_2d\": [184, 495, 234, 534], \"label\": \"log cross-section\"},\n {\"box_2d\": [198, 736, 256, 783], \"label\": \"log cross-section\"},\n {\"box_2d\": [211, 520, 256, 552], \"label\": \"log cross-section\"},\n {\"box_2d\": [212, 312, 273, 362], \"label\": \"log cross-section\"},\n {\"box_2d\": [212, 556, 273, 605], \"label\": \"log cross-section\"},\n {\"box_2d\": [214, 400, 252, 427], \"label\": \"log cross-section\"},\n {\"box_2d\": [222, 603, 281, 645], \"label\": \"log cross-section\"},\n {\"box_2d\": [222, 822, 270, 861], \"label\": \"log cross-section\"},\n {\"box_2d\": [228, 359, 286, 408], \"label\": \"log cross-section\"},\n {\"box_2d\": [228, 420, 278, 453], \"label\": \"log cross-section\"},\n {\"box_2d\": [231, 450, 283, 491], \"label\": \"log cross-section\"},\n {\"box_2d\": [233, 258, 300, 311], \"label\": \"log cross-section\"},\n {\"box_2d\": [233, 489, 272, 520], \"label\": \"log cross-section\"},\n {\"box_2d\": [245, 639, 312, 694], \"label\": \"log cross-section\"},\n {\"box_2d\": [256, 769, 303, 817], \"label\": \"log cross-section\"},\n {\"box_2d\": [259, 522, 302, 553], \"label\": \"log cross-section\"},\n {\"box_2d\": [269, 570, 334, 623], \"label\": \"log cross-section\"},\n {\"box_2d\": [270, 489, 320, 528], \"label\": \"log cross-section\"},\n {\"box_2d\": [272, 314, 345, 378], \"label\": \"log cross-section\"},\n {\"box_2d\": [275, 395, 322, 431], \"label\": \"log cross-section\"},\n {\"box_2d\": [275, 430, 334, 472], \"label\": \"log cross-section\"},\n {\"box_2d\": [297, 788, 356, 838], \"label\": \"log cross-section\"},\n {\"box_2d\": [300, 262, 347, 303], \"label\": \"log cross-section\"},\n {\"box_2d\": [308, 541, 356, 575], \"label\": \"log cross-section\"},\n {\"box_2d\": [309, 623, 358, 658], \"label\": \"log cross-section\"},\n {\"box_2d\": [309, 680, 380, 733], \"label\": \"log cross-section\"},\n {\"box_2d\": [311, 655, 345, 683], \"label\": \"log cross-section\"},\n {\"box_2d\": [319, 509, 366, 545], \"label\": \"log cross-section\"},\n {\"box_2d\": [320, 459, 391, 512], \"label\": \"log cross-section\"},\n {\"box_2d\": [322, 731, 378, 773], \"label\": \"log cross-section\"},\n {\"box_2d\": [331, 386, 384, 423], \"label\": \"log cross-section\"},\n {\"box_2d\": [333, 422, 375, 453], \"label\": \"log cross-section\"},\n {\"box_2d\": [345, 305, 391, 344], \"label\": \"log cross-section\"},\n {\"box_2d\": [347, 264, 395, 306], \"label\": \"log cross-section\"},\n {\"box_2d\": [359, 764, 427, 822], \"label\": \"log cross-section\"},\n {\"box_2d\": [364, 352, 414, 389], \"label\": \"log cross-section\"},\n {\"box_2d\": [369, 716, 419, 755], \"label\": \"log cross-section\"},\n {\"box_2d\": [377, 430, 433, 475], \"label\": \"log cross-section\"},\n {\"box_2d\": [378, 681, 423, 720], \"label\": \"log cross-section\"},\n {\"box_2d\": [387, 522, 436, 559], \"label\": \"log cross-section\"},\n {\"box_2d\": [389, 475, 438, 514], \"label\": \"log cross-section\"},\n {\"box_2d\": [389, 638, 444, 684], \"label\": \"log cross-section\"},\n {\"box_2d\": [392, 556, 448, 602], \"label\": \"log cross-section\"},\n {\"box_2d\": [394, 308, 441, 352], \"label\": \"log cross-section\"},\n {\"box_2d\": [394, 380, 448, 419], \"label\": \"log cross-section\"},\n {\"box_2d\": [412, 350, 450, 381], \"label\": \"log cross-section\"},\n {\"box_2d\": [412, 602, 458, 639], \"label\": \"log cross-section\"},\n {\"box_2d\": [419, 691, 469, 736], \"label\": \"log cross-section\"},\n {\"box_2d\": [425, 447, 483, 492], \"label\": \"log cross-section\"},\n {\"box_2d\": [425, 494, 480, 538], \"label\": \"log cross-section\"},\n {\"box_2d\": [427, 272, 492, 323], \"label\": \"log cross-section\"},\n {\"box_2d\": [427, 408, 473, 445], \"label\": \"log cross-section\"},\n {\"box_2d\": [431, 772, 475, 811], \"label\": \"log cross-section\"},\n {\"box_2d\": [436, 633, 480, 667], \"label\": \"log cross-section\"},\n {\"box_2d\": [441, 725, 480, 758], \"label\": \"log cross-section\"},\n {\"box_2d\": [442, 544, 484, 577], \"label\": \"log cross-section\"},\n {\"box_2d\": [444, 367, 491, 406], \"label\": \"log cross-section\"},\n {\"box_2d\": [448, 575, 492, 608], \"label\": \"log cross-section\"},\n {\"box_2d\": [466, 605, 506, 641], \"label\": \"log cross-section\"},\n {\"box_2d\": [467, 744, 536, 798], \"label\": \"log cross-section\"},\n {\"box_2d\": [472, 405, 522, 442], \"label\": \"log cross-section\"},\n {\"box_2d\": [483, 448, 548, 502], \"label\": \"log cross-section\"},\n {\"box_2d\": [484, 666, 536, 708], \"label\": \"log cross-section\"},\n {\"box_2d\": [491, 578, 542, 622], \"label\": \"log cross-section\"},\n {\"box_2d\": [494, 267, 566, 323], \"label\": \"log cross-section\"},\n {\"box_2d\": [506, 370, 566, 419], \"label\": \"log cross-section\"},\n {\"box_2d\": [506, 628, 564, 675], \"label\": \"log cross-section\"},\n {\"box_2d\": [506, 709, 570, 766], \"label\": \"log cross-section\"},\n {\"box_2d\": [508, 322, 544, 353], \"label\": \"log cross-section\"},\n {\"box_2d\": [511, 503, 558, 538], \"label\": \"log cross-section\"},\n {\"box_2d\": [511, 536, 583, 586], \"label\": \"log cross-section\"},\n {\"box_2d\": [530, 419, 586, 458], \"label\": \"log cross-section\"},\n {\"box_2d\": [533, 775, 575, 816], \"label\": \"log cross-section\"},\n {\"box_2d\": [536, 333, 591, 381], \"label\": \"log cross-section\"},\n {\"box_2d\": [553, 261, 597, 298], \"label\": \"log cross-section\"},\n {\"box_2d\": [553, 448, 625, 503], \"label\": \"log cross-section\"},\n {\"box_2d\": [562, 641, 611, 694], \"label\": \"log cross-section\"},\n {\"box_2d\": [562, 697, 612, 738], \"label\": \"log cross-section\"},\n {\"box_2d\": [564, 506, 620, 552], \"label\": \"log cross-section\"},\n {\"box_2d\": [572, 567, 638, 622], \"label\": \"log cross-section\"},\n {\"box_2d\": [575, 777, 634, 833], \"label\": \"log cross-section\"},\n {\"box_2d\": [578, 369, 645, 422], \"label\": \"log cross-section\"},\n {\"box_2d\": [578, 730, 639, 781], \"label\": \"log cross-section\"},\n {\"box_2d\": [586, 322, 645, 369], \"label\": \"log cross-section\"},\n {\"box_2d\": [591, 273, 655, 323], \"label\": \"log cross-section\"},\n {\"box_2d\": [606, 533, 658, 575], \"label\": \"log cross-section\"},\n {\"box_2d\": [608, 617, 669, 666], \"label\": \"log cross-section\"},\n {\"box_2d\": [609, 483, 648, 517], \"label\": \"log cross-section\"},\n {\"box_2d\": [612, 428, 653, 461], \"label\": \"log cross-section\"},\n {\"box_2d\": [628, 741, 706, 806], \"label\": \"log cross-section\"},\n {\"box_2d\": [633, 691, 692, 741], \"label\": \"log cross-section\"},\n {\"box_2d\": [641, 361, 698, 406], \"label\": \"log cross-section\"},\n {\"box_2d\": [644, 306, 705, 355], \"label\": \"log cross-section\"},\n {\"box_2d\": [644, 444, 697, 483], \"label\": \"log cross-section\"},\n {\"box_2d\": [648, 514, 702, 558], \"label\": \"log cross-section\"},\n {\"box_2d\": [650, 272, 686, 303], \"label\": \"log cross-section\"},\n {\"box_2d\": [653, 556, 697, 592], \"label\": \"log cross-section\"},\n {\"box_2d\": [662, 620, 709, 661], \"label\": \"log cross-section\"},\n {\"box_2d\": [673, 395, 727, 434], \"label\": \"log cross-section\"},\n {\"box_2d\": [675, 583, 728, 627], \"label\": \"log cross-section\"},\n {\"box_2d\": [681, 266, 750, 314], \"label\": \"log cross-section\"},\n {\"box_2d\": [681, 464, 766, 530], \"label\": \"log cross-section\"},\n {\"box_2d\": [688, 678, 730, 719], \"label\": \"log cross-section\"},\n {\"box_2d\": [689, 727, 739, 770], \"label\": \"log cross-section\"},\n {\"box_2d\": [695, 427, 745, 464], \"label\": \"log cross-section\"},\n {\"box_2d\": [695, 534, 762, 589], \"label\": \"log cross-section\"},\n {\"box_2d\": [697, 362, 758, 406], \"label\": \"log cross-section\"},\n {\"box_2d\": [708, 625, 756, 667], \"label\": \"log cross-section\"},\n {\"box_2d\": [714, 312, 778, 362], \"label\": \"log cross-section\"},\n {\"box_2d\": [716, 670, 762, 709], \"label\": \"log cross-section\"},\n {\"box_2d\": [733, 578, 825, 647], \"label\": \"log cross-section\"},\n {\"box_2d\": [742, 391, 803, 438], \"label\": \"log cross-section\"},\n {\"box_2d\": [742, 728, 814, 789], \"label\": \"log cross-section\"},\n {\"box_2d\": [752, 355, 789, 384], \"label\": \"log cross-section\"},\n {\"box_2d\": [752, 647, 809, 689], \"label\": \"log cross-section\"},\n {\"box_2d\": [752, 691, 798, 727], \"label\": \"log cross-section\"},\n {\"box_2d\": [762, 523, 812, 561], \"label\": \"log cross-section\"},\n {\"box_2d\": [764, 472, 830, 525], \"label\": \"log cross-section\"},\n {\"box_2d\": [772, 264, 839, 319], \"label\": \"log cross-section\"},\n {\"box_2d\": [773, 319, 825, 358], \"label\": \"log cross-section\"},\n {\"box_2d\": [784, 356, 844, 400], \"label\": \"log cross-section\"},\n {\"box_2d\": [802, 662, 869, 712], \"label\": \"log cross-section\"},\n {\"box_2d\": [806, 628, 870, 670], \"label\": \"log cross-section\"},\n {\"box_2d\": [809, 520, 856, 556], \"label\": \"log cross-section\"},\n {\"box_2d\": [823, 758, 883, 819], \"label\": \"log cross-section\"},\n {\"box_2d\": [830, 467, 911, 528], \"label\": \"log cross-section\"},\n {\"box_2d\": [831, 297, 908, 359], \"label\": \"log cross-section\"},\n {\"box_2d\": [833, 598, 891, 642], \"label\": \"log cross-section\"},\n {\"box_2d\": [838, 400, 898, 442], \"label\": \"log cross-section\"},\n {\"box_2d\": [844, 262, 894, 300], \"label\": \"log cross-section\"},\n {\"box_2d\": [847, 361, 906, 403], \"label\": \"log cross-section\"},\n {\"box_2d\": [850, 555, 912, 603], \"label\": \"log cross-section\"}\n]\n```", "correct": false, "input_tokens": 1228, "output_tokens": 9915, "elapsed_seconds": 56.64061683299951, "metadata": {"match_method": "map", "num_predictions": 157, "num_ground_truth": 206, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.4471287131309509, "attempts": 1, "retries": 0, "total_seconds": 56.6618}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 38, "image": "DJI_20230529111632_0087_T_JPG_jpg.rf.a0bcf6f9fb3a8158bd511491a1f333d9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [264, 844, 278, 856], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [262, 884, 278, 897], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [259, 927, 273, 938], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [258, 967, 270, 978], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [534, 594, 548, 605], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [523, 758, 538, 769], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [644, 475, 658, 486], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [630, 681, 644, 692], \"label\": \"solar panel hot spot\"}\n]\n```", "correct": false, "input_tokens": 1228, "output_tokens": 1574, "elapsed_seconds": 16.158907458069734, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 9, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7178217768669128, "attempts": 1, "retries": 0, "total_seconds": 16.1735}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 39, "image": "IMG_20260128_081648_jpg.rf.195a895d6fe7552e4b9d0fc4e44e0f46.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [625, 75, 723, 152], \"label\": \"white standard price tag\"},\n {\"box_2d\": [626, 149, 724, 227], \"label\": \"white standard price tag\"},\n {\"box_2d\": [625, 234, 726, 291], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [627, 290, 725, 369], \"label\": \"white standard price tag\"},\n {\"box_2d\": [629, 367, 726, 418], \"label\": \"white standard price tag\"},\n {\"box_2d\": [628, 417, 726, 491], \"label\": \"white standard price tag\"},\n {\"box_2d\": [628, 491, 726, 567], \"label\": \"white standard price tag\"},\n {\"box_2d\": [629, 567, 726, 640], \"label\": \"white standard price tag\"},\n {\"box_2d\": [617, 637, 950, 734], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [617, 714, 951, 804], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [633, 854, 728, 930], \"label\": \"white standard price tag\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 1730, "elapsed_seconds": 17.481542207999155, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 17.7824}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 40, "image": "m4_tire_2024-10-17_18_png_jpg.rf.b3da826931757f1612878ecf9680a260.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [94, 300, 179, 518], \"label\": \"tire size text\"},\n {\"box_2d\": [708, 217, 774, 267], \"label\": \"tire size text\"},\n {\"box_2d\": [884, 534, 954, 718], \"label\": \"tire size text\"}\n]\n```", "correct": false, "input_tokens": 1226, "output_tokens": 1793, "elapsed_seconds": 21.749252333072945, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5544553995132446, "attempts": 1, "retries": 0, "total_seconds": 22.0032}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 41, "image": "IMG_3864_JPG.rf.85dd012a4824e9d1050c085dd0a2e519.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [349, 225, 419, 336], \"label\": \"100 poker chip\"},\n {\"box_2d\": [361, 397, 430, 508], \"label\": \"500 poker chip\"},\n {\"box_2d\": [431, 286, 508, 404], \"label\": \"500 poker chip\"},\n {\"box_2d\": [466, 98, 545, 217], \"label\": \"500 poker chip\"},\n {\"box_2d\": [558, 39, 651, 168], \"label\": \"10000 poker chip\"},\n {\"box_2d\": [606, 130, 703, 263], \"label\": \"500 poker chip\"},\n {\"box_2d\": [522, 219, 608, 344], \"label\": \"500 poker chip\"},\n {\"box_2d\": [662, 239, 767, 381], \"label\": \"500 poker chip\"},\n {\"box_2d\": [575, 297, 669, 431], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [519, 400, 605, 525], \"label\": \"500 poker chip\"},\n {\"box_2d\": [428, 402, 505, 517], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [440, 513, 519, 633], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [404, 611, 479, 730], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [445, 706, 527, 833], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [425, 819, 505, 945], \"label\": \"100 poker chip\"},\n {\"box_2d\": [513, 777, 602, 913], \"label\": \"100 poker chip\"},\n {\"box_2d\": [516, 650, 603, 780], \"label\": \"500 poker chip\"},\n {\"box_2d\": [529, 526, 619, 655], \"label\": \"500 poker chip\"},\n {\"box_2d\": [600, 421, 697, 554], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [676, 495, 785, 640], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [674, 636, 785, 781], \"label\": \"500 poker chip\"},\n {\"box_2d\": [594, 706, 693, 847], \"label\": \"100 poker chip\"},\n {\"box_2d\": [685, 796, 797, 949], \"label\": \"1000 poker chip\"}\n]\n```", "correct": true, "input_tokens": 1229, "output_tokens": 2502, "elapsed_seconds": 27.570664042024873, "metadata": {"match_method": "map", "num_predictions": 23, "num_ground_truth": 24, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9702969789505005, "attempts": 1, "retries": 0, "total_seconds": 28.1152}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 42, "image": "1217_2_jpg.rf.e0a2a15bcd44d66668e689fd59ca61fe.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [24, 138, 128, 236], \"label\": \"white bishop\"},\n {\"box_2d\": [0, 399, 126, 491], \"label\": \"white queen\"},\n {\"box_2d\": [2, 509, 131, 601], \"label\": \"white king\"},\n {\"box_2d\": [1, 909, 85, 989], \"label\": \"black pawn\"},\n {\"box_2d\": [168, 16, 242, 97], \"label\": \"black pawn\"},\n {\"box_2d\": [149, 647, 223, 720], \"label\": \"white pawn\"},\n {\"box_2d\": [179, 766, 254, 839], \"label\": \"white pawn\"},\n {\"box_2d\": [285, 152, 357, 229], \"label\": \"white pawn\"},\n {\"box_2d\": [286, 386, 358, 456], \"label\": \"black pawn\"},\n {\"box_2d\": [274, 625, 363, 716], \"label\": \"white bishop\"},\n {\"box_2d\": [309, 869, 382, 949], \"label\": \"black pawn\"},\n {\"box_2d\": [410, 26, 482, 108], \"label\": \"white pawn\"},\n {\"box_2d\": [403, 297, 476, 372], \"label\": \"white pawn\"},\n {\"box_2d\": [384, 507, 475, 597], \"label\": \"black bishop\"},\n {\"box_2d\": [396, 639, 477, 731], \"label\": \"white knight\"},\n {\"box_2d\": [425, 769, 503, 871], \"label\": \"black knight\"},\n {\"box_2d\": [431, 902, 503, 981], \"label\": \"white pawn\"},\n {\"box_2d\": [545, 0, 626, 114], \"label\": \"black knight\"},\n {\"box_2d\": [512, 123, 599, 232], \"label\": \"black queen\"},\n {\"box_2d\": [524, 276, 597, 348], \"label\": \"black pawn\"},\n {\"box_2d\": [517, 398, 597, 480], \"label\": \"white rook\"},\n {\"box_2d\": [558, 608, 631, 681], \"label\": \"white pawn\"},\n {\"box_2d\": [647, 630, 740, 722], \"label\": \"white queen\"},\n {\"box_2d\": [649, 877, 721, 956], \"label\": \"white pawn\"},\n {\"box_2d\": [761, 17, 845, 117], \"label\": \"white rook\"},\n {\"box_2d\": [765, 162, 855, 253], \"label\": \"black bishop\"},\n {\"box_2d\": [781, 397, 854, 469], \"label\": \"black pawn\"},\n {\"box_2d\": [747, 747, 855, 855], \"label\": \"black king\"},\n {\"box_2d\": [899, 0, 998, 114], \"label\": \"white knight\"},\n {\"box_2d\": [881, 399, 974, 480], \"label\": \"black rook\"},\n {\"box_2d\": [898, 642, 994, 723], \"label\": \"black rook\"},\n {\"box_2d\": [886, 882, 1000, 1000], \"label\": \"black queen\"}\n]\n```", "correct": true, "input_tokens": 1259, "output_tokens": 2938, "elapsed_seconds": 26.5929976250045, "metadata": {"match_method": "map", "num_predictions": 32, "num_ground_truth": 32, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 26.7928}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 43, "image": "fabric-defect_904_jpg.rf.1cf391ad7827c3f000e3c8ea35472e5d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [399, 455, 512, 533], \"label\": \"fabric cut\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 282, "elapsed_seconds": 4.871769666089676, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 4.8902}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 44, "image": "20210325_204058_jpg.rf.29e7808c087a71e473dd9c19badaff2c.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [148, 431, 366, 647], \"label\": \"50 euro cent coin\"},\n {\"box_2d\": [256, 62, 444, 250], \"label\": \"5 euro cent coin\"},\n {\"box_2d\": [347, 267, 577, 498], \"label\": \"2 euro coin\"},\n {\"box_2d\": [366, 644, 536, 819], \"label\": \"2 euro cent coin\"},\n {\"box_2d\": [500, 509, 647, 659], \"label\": \"1 euro cent coin\"},\n {\"box_2d\": [562, 689, 744, 875], \"label\": \"10 euro cent coin\"},\n {\"box_2d\": [605, 150, 808, 353], \"label\": \"20 euro cent coin\"},\n {\"box_2d\": [700, 439, 914, 650], \"label\": \"1 euro coin\"}\n]\n```", "correct": true, "input_tokens": 1272, "output_tokens": 1201, "elapsed_seconds": 13.015048125060275, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 13.0364}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 45, "image": "9999942_00000_d_0000135_jpg.rf.52553444f2adb8d7ba245527bc1de4b5.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [811, 137, 926, 184], \"label\": \"car\"},\n {\"box_2d\": [693, 104, 791, 158], \"label\": \"car\"},\n {\"box_2d\": [525, 10, 571, 76], \"label\": \"van\"},\n {\"box_2d\": [570, 372, 633, 448], \"label\": \"car\"},\n {\"box_2d\": [608, 520, 649, 590], \"label\": \"car\"},\n {\"box_2d\": [548, 535, 591, 603], \"label\": \"car\"},\n {\"box_2d\": [605, 673, 646, 722], \"label\": \"car\"},\n {\"box_2d\": [385, 150, 434, 184], \"label\": \"car\"},\n {\"box_2d\": [318, 176, 378, 206], \"label\": \"car\"},\n {\"box_2d\": [237, 134, 289, 181], \"label\": \"car\"},\n {\"box_2d\": [190, 269, 259, 301], \"label\": \"car\"},\n {\"box_2d\": [160, 168, 194, 210], \"label\": \"car\"},\n {\"box_2d\": [128, 170, 165, 229], \"label\": \"car\"},\n {\"box_2d\": [96, 175, 130, 231], \"label\": \"car\"},\n {\"box_2d\": [94, 281, 170, 315], \"label\": \"van\"},\n {\"box_2d\": [44, 240, 102, 267], \"label\": \"car\"},\n {\"box_2d\": [28, 294, 92, 323], \"label\": \"car\"},\n {\"box_2d\": [0, 192, 33, 255], \"label\": \"van\"},\n {\"box_2d\": [0, 309, 25, 333], \"label\": \"car\"},\n {\"box_2d\": [0, 381, 41, 404], \"label\": \"van\"},\n {\"box_2d\": [21, 405, 78, 431], \"label\": \"car\"},\n {\"box_2d\": [134, 394, 199, 422], \"label\": \"car\"},\n {\"box_2d\": [238, 375, 334, 412], \"label\": \"truck\"},\n {\"box_2d\": [530, 273, 550, 289], \"label\": \"person\"},\n {\"box_2d\": [478, 449, 496, 460], \"label\": \"person\"},\n {\"box_2d\": [471, 463, 491, 473], \"label\": \"person\"},\n {\"box_2d\": [484, 470, 503, 480], \"label\": \"person\"},\n {\"box_2d\": [112, 249, 137, 261], \"label\": \"person\"},\n {\"box_2d\": [111, 350, 139, 361], \"label\": \"person\"}\n]\n```", "correct": false, "input_tokens": 1215, "output_tokens": 2534, "elapsed_seconds": 22.711119083920494, "metadata": {"match_method": "map", "num_predictions": 29, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.28762105107307434, "attempts": 1, "retries": 0, "total_seconds": 22.7865}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 46, "image": "tire_2024-09-25_27_png_jpg.rf.86e579b04ca3a3e9f7a480c31239539e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [79, 272, 165, 471], \"label\": \"tire size text\"},\n {\"box_2d\": [332, 804, 396, 843], \"label\": \"tire size text\"},\n {\"box_2d\": [890, 470, 956, 681], \"label\": \"tire size text\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 587, "elapsed_seconds": 11.97067299997434, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 12.3062}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 47, "image": "Container-144_jpg.rf.4f556fc57071dc9d870c03989b923d26.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [252, 557, 277, 737], \"label\": \"shipping container number\"},\n {\"box_2d\": [285, 558, 308, 608], \"label\": \"container ISO type code\"}\n]\n```", "correct": true, "input_tokens": 1232, "output_tokens": 399, "elapsed_seconds": 5.5289676249958575, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 5.5413}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 48, "image": "frame_0151_jpg.rf.6c7fef6c392aec746239d36e4257e862.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [130, 128, 196, 172], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [300, 114, 370, 165], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [426, 85, 502, 139], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [615, 86, 709, 134], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [788, 69, 874, 131], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [143, 237, 206, 279], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [294, 249, 357, 287], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [468, 207, 530, 245], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [502, 254, 573, 297], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [720, 237, 801, 282], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [894, 239, 962, 287], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [110, 334, 169, 371], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [215, 339, 283, 376], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [340, 333, 408, 372], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [578, 366, 646, 406], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [641, 370, 712, 412], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [115, 426, 174, 460], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [198, 442, 258, 476], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [276, 445, 348, 484], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [492, 466, 557, 502], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [166, 531, 231, 567], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [264, 538, 321, 575], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [419, 569, 485, 606], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [780, 581, 850, 621], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [350, 648, 407, 682], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [474, 675, 536, 709], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [20, 549, 77, 583], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [1, 348, 48, 382], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [3, 381, 44, 410], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [4, 414, 51, 445], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 514, 51, 547], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 610, 54, 636], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 251, 45, 284], \"label\": \"garlic on conveyor\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 2275, "elapsed_seconds": 22.601966958027333, "metadata": {"match_method": "map", "num_predictions": 33, "num_ground_truth": 27, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 22.6994}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 49, "image": "4106884_ContLeftUpper_f_jpg.rf.92488d92926163302f246be3b53efb13.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [229, 23, 257, 46], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [227, 100, 260, 125], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [227, 180, 260, 205], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [230, 258, 262, 284], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [233, 337, 262, 360], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [235, 417, 264, 441], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [234, 495, 264, 519], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [237, 575, 262, 597], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [411, 222, 439, 244], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [413, 299, 444, 323], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [421, 380, 448, 402], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [427, 459, 454, 480], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [523, 67, 550, 89], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [523, 145, 552, 168], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [526, 222, 552, 245], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [526, 300, 555, 324], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [527, 381, 553, 402], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [529, 459, 553, 481], \"label\": \"shipping container wall dent\"}\n]\n```", "correct": false, "input_tokens": 1219, "output_tokens": 2525, "elapsed_seconds": 24.630818874924444, "metadata": {"match_method": "map", "num_predictions": 18, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.10669773072004318, "attempts": 1, "retries": 0, "total_seconds": 24.7382}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 50, "image": "img_459031286691397716_png.rf.6de9abc735878b2b2cc1f1fa95486a5f.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [38, 161, 169, 305], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [127, 144, 261, 294], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [223, 127, 360, 279], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [324, 102, 463, 264], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [437, 79, 577, 255], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [560, 48, 700, 240], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [698, 22, 842, 223], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [840, 0, 1000, 194], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [7, 297, 129, 434], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [96, 287, 226, 429], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [187, 273, 323, 422], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [283, 258, 419, 413], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [393, 244, 530, 408], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [511, 226, 650, 396], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [645, 207, 787, 389], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [788, 180, 944, 376], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [48, 422, 169, 558], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [134, 415, 262, 557], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [229, 411, 364, 558], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [332, 395, 469, 551], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [445, 392, 579, 552], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [567, 376, 706, 545], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [702, 369, 847, 549], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [846, 355, 1000, 546], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [11, 546, 134, 681], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [98, 545, 224, 687], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [189, 544, 319, 691], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [288, 540, 424, 695], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [399, 540, 530, 700], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [517, 533, 656, 703], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [648, 534, 791, 712], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [790, 533, 945, 720], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [49, 672, 179, 809], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [137, 674, 270, 819], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [231, 678, 366, 829], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [334, 679, 473, 844], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [446, 684, 584, 859], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [573, 687, 713, 870], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [709, 697, 852, 888], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [851, 705, 1000, 913], \"label\": \"empty portable gas cylinder\"}\n]\n```", "correct": true, "input_tokens": 1203, "output_tokens": 3044, "elapsed_seconds": 25.701839833986014, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 40, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 25.7751}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 51, "image": "1668147211__jpg.rf.0ee3d637cd990a070a8c1bcc234c9d5a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [655, 28, 701, 56], \"label\": \"six die\"},\n {\"box_2d\": [892, 113, 941, 141], \"label\": \"one die\"},\n {\"box_2d\": [622, 177, 673, 207], \"label\": \"six die\"},\n {\"box_2d\": [637, 208, 694, 241], \"label\": \"four die\"},\n {\"box_2d\": [758, 222, 816, 255], \"label\": \"five die\"},\n {\"box_2d\": [432, 198, 487, 229], \"label\": \"five die\"},\n {\"box_2d\": [374, 193, 421, 220], \"label\": \"three die\"},\n {\"box_2d\": [257, 194, 314, 227], \"label\": \"four die\"},\n {\"box_2d\": [211, 218, 268, 251], \"label\": \"one die\"},\n {\"box_2d\": [250, 239, 302, 268], \"label\": \"three die\"},\n {\"box_2d\": [109, 243, 162, 273], \"label\": \"three die\"},\n {\"box_2d\": [156, 255, 211, 288], \"label\": \"four die\"},\n {\"box_2d\": [219, 297, 272, 326], \"label\": \"two die\"},\n {\"box_2d\": [229, 341, 284, 372], \"label\": \"five die\"},\n {\"box_2d\": [191, 366, 249, 399], \"label\": \"three die\"},\n {\"box_2d\": [247, 371, 303, 403], \"label\": \"one die\"},\n {\"box_2d\": [272, 401, 322, 427], \"label\": \"one die\"},\n {\"box_2d\": [331, 369, 383, 399], \"label\": \"six die\"},\n {\"box_2d\": [392, 418, 440, 445], \"label\": \"five die\"},\n {\"box_2d\": [354, 447, 412, 480], \"label\": \"two die\"},\n {\"box_2d\": [177, 454, 231, 485], \"label\": \"one die\"},\n {\"box_2d\": [243, 458, 302, 491], \"label\": \"four die\"},\n {\"box_2d\": [237, 491, 294, 521], \"label\": \"three die\"},\n {\"box_2d\": [351, 555, 410, 589], \"label\": \"six die\"},\n {\"box_2d\": [529, 304, 583, 335], \"label\": \"one die\"},\n {\"box_2d\": [619, 309, 672, 339], \"label\": \"one die\"},\n {\"box_2d\": [602, 379, 658, 411], \"label\": \"three die\"},\n {\"box_2d\": [578, 416, 630, 445], \"label\": \"four die\"},\n {\"box_2d\": [653, 397, 704, 425], \"label\": \"six die\"},\n {\"box_2d\": [682, 425, 737, 455], \"label\": \"four die\"},\n {\"box_2d\": [662, 450, 715, 479], \"label\": \"three die\"},\n {\"box_2d\": [619, 507, 667, 533], \"label\": \"one die\"},\n {\"box_2d\": [659, 526, 711, 555], \"label\": \"four die\"},\n {\"box_2d\": [777, 471, 830, 500], \"label\": \"three die\"},\n {\"box_2d\": [780, 536, 831, 563], \"label\": \"one die\"},\n {\"box_2d\": [855, 580, 908, 610], \"label\": \"two die\"},\n {\"box_2d\": [695, 617, 751, 649], \"label\": \"three die\"},\n {\"box_2d\": [53, 648, 111, 680], \"label\": \"six die\"},\n {\"box_2d\": [89, 673, 150, 707], \"label\": \"three die\"},\n {\"box_2d\": [149, 769, 206, 802], \"label\": \"two die\"},\n {\"box_2d\": [283, 739, 339, 770], \"label\": \"three die\"},\n {\"box_2d\": [289, 869, 342, 902], \"label\": \"five die\"},\n {\"box_2d\": [427, 807, 478, 835], \"label\": \"two die\"},\n {\"box_2d\": [503, 799, 562, 833], \"label\": \"four die\"},\n {\"box_2d\": [503, 842, 561, 875], \"label\": \"four die\"},\n {\"box_2d\": [477, 862, 533, 895], \"label\": \"one die\"},\n {\"box_2d\": [583, 797, 636, 829], \"label\": \"two die\"},\n {\"box_2d\": [599, 838, 647, 867], \"label\": \"one die\"},\n {\"box_2d\": [602, 878, 658, 912], \"label\": \"two die\"},\n {\"box_2d\": [653, 801, 710, 834], \"label\": \"one die\"},\n {\"box_2d\": [649, 833, 700, 862], \"label\": \"one die\"}\n]\n```", "correct": true, "input_tokens": 1252, "output_tokens": 4091, "elapsed_seconds": 32.39086674991995, "metadata": {"match_method": "map", "num_predictions": 51, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9534286856651306, "attempts": 1, "retries": 0, "total_seconds": 32.4282}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 52, "image": "3533container_jpg.rf.12bfe57075507c019cfd5dc24dd08b40.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [377, 238, 463, 266], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [497, 147, 561, 182], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [376, 321, 460, 345], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [613, 397, 664, 434], \"label\": \"shipping container wall dent\"}\n]\n```", "correct": false, "input_tokens": 1219, "output_tokens": 1143, "elapsed_seconds": 14.804948540986516, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.2574257552623749, "attempts": 1, "retries": 0, "total_seconds": 14.8861}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 53, "image": "DJI_20230529095121_0346_T_JPG_jpg.rf.a2baa2ffdce5ec84e5f5d22342f6b310.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [320, 305, 333, 319], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [327, 428, 340, 440], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [251, 625, 353, 646], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [460, 916, 474, 931], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [703, 465, 720, 482], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [706, 503, 722, 518], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [714, 591, 726, 603], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [829, 858, 845, 874], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [831, 901, 846, 916], \"label\": \"solar panel hot spot\"}\n]\n```", "correct": true, "input_tokens": 1228, "output_tokens": 1317, "elapsed_seconds": 12.883535541011952, "metadata": {"match_method": "map", "num_predictions": 9, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9174917340278625, "attempts": 1, "retries": 0, "total_seconds": 12.903}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 54, "image": "IMG_20250815_170041_jpg.rf.a65978ab35e2cb48c68d9eebdeaab87b.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [583, 309, 672, 412], \"label\": \"barcode\"},\n {\"box_2d\": [664, 0, 758, 75], \"label\": \"barcode\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 787, "elapsed_seconds": 12.090151207987219, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 12.3934}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 55, "image": "1_000070_png.rf.a431761eff2c713a18daff7bade25bde.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [159, 193, 187, 205], \"label\": \"tire spike normal\"},\n {\"box_2d\": [192, 91, 218, 101], \"label\": \"tire spike normal\"},\n {\"box_2d\": [283, 57, 310, 67], \"label\": \"tire spike normal\"},\n {\"box_2d\": [215, 247, 245, 258], \"label\": \"tire spike normal\"},\n {\"box_2d\": [295, 286, 331, 299], \"label\": \"tire spike normal\"},\n {\"box_2d\": [189, 353, 232, 369], \"label\": \"tire spike normal\"},\n {\"box_2d\": [306, 396, 340, 410], \"label\": \"tire spike absent\"},\n {\"box_2d\": [199, 467, 245, 483], \"label\": \"tire spike normal\"},\n {\"box_2d\": [187, 521, 230, 537], \"label\": \"tire spike normal\"},\n {\"box_2d\": [248, 594, 291, 611], \"label\": \"tire spike normal\"},\n {\"box_2d\": [216, 649, 257, 664], \"label\": \"tire spike normal\"},\n {\"box_2d\": [270, 717, 309, 730], \"label\": \"tire spike normal\"},\n {\"box_2d\": [232, 764, 267, 775], \"label\": \"tire spike normal\"},\n {\"box_2d\": [295, 819, 329, 830], \"label\": \"tire spike normal\"},\n {\"box_2d\": [381, 857, 413, 868], \"label\": \"tire spike normal\"},\n {\"box_2d\": [293, 896, 322, 905], \"label\": \"tire spike normal\"},\n {\"box_2d\": [392, 920, 421, 928], \"label\": \"tire spike normal\"},\n {\"box_2d\": [591, 73, 621, 83], \"label\": \"tire spike normal\"},\n {\"box_2d\": [687, 103, 715, 112], \"label\": \"tire spike normal\"},\n {\"box_2d\": [625, 138, 654, 150], \"label\": \"tire spike normal\"},\n {\"box_2d\": [703, 178, 738, 190], \"label\": \"tire spike absent\"},\n {\"box_2d\": [731, 285, 766, 298], \"label\": \"tire spike normal\"},\n {\"box_2d\": [639, 333, 678, 346], \"label\": \"tire spike normal\"},\n {\"box_2d\": [745, 395, 776, 405], \"label\": \"tire spike absent\"},\n {\"box_2d\": [663, 446, 704, 462], \"label\": \"tire spike normal\"},\n {\"box_2d\": [766, 505, 805, 521], \"label\": \"tire spike normal\"},\n {\"box_2d\": [817, 573, 854, 588], \"label\": \"tire spike normal\"},\n {\"box_2d\": [779, 636, 814, 650], \"label\": \"tire spike absent\"},\n {\"box_2d\": [825, 696, 864, 710], \"label\": \"tire spike absent\"},\n {\"box_2d\": [788, 753, 829, 767], \"label\": \"tire spike normal\"},\n {\"box_2d\": [832, 801, 869, 813], \"label\": \"tire spike absent\"},\n {\"box_2d\": [782, 847, 818, 859], \"label\": \"tire spike absent\"},\n {\"box_2d\": [701, 886, 737, 896], \"label\": \"tire spike normal\"},\n {\"box_2d\": [696, 939, 725, 947], \"label\": \"tire spike normal\"}\n]\n```", "correct": false, "input_tokens": 1222, "output_tokens": 3380, "elapsed_seconds": 27.53447066701483, "metadata": {"match_method": "map", "num_predictions": 34, "num_ground_truth": 46, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.2647970914840698, "attempts": 1, "retries": 0, "total_seconds": 27.589}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 56, "image": "egg-detection_image148_jpg.rf.7ef43d25f8e9b9b7f3d805f238830ff7.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [21, 706, 94, 760], \"label\": \"egg\"},\n {\"box_2d\": [56, 569, 134, 625], \"label\": \"egg\"},\n {\"box_2d\": [103, 613, 185, 675], \"label\": \"egg\"},\n {\"box_2d\": [111, 685, 190, 740], \"label\": \"egg\"},\n {\"box_2d\": [158, 516, 240, 577], \"label\": \"egg\"},\n {\"box_2d\": [221, 698, 303, 754], \"label\": \"egg\"},\n {\"box_2d\": [275, 660, 360, 719], \"label\": \"egg\"},\n {\"box_2d\": [333, 713, 419, 772], \"label\": \"egg\"},\n {\"box_2d\": [400, 631, 487, 694], \"label\": \"egg\"},\n {\"box_2d\": [408, 531, 493, 594], \"label\": \"egg\"},\n {\"box_2d\": [443, 761, 553, 804], \"label\": \"egg\"},\n {\"box_2d\": [512, 714, 595, 769], \"label\": \"egg\"},\n {\"box_2d\": [580, 658, 667, 719], \"label\": \"egg\"},\n {\"box_2d\": [584, 594, 673, 659], \"label\": \"egg\"},\n {\"box_2d\": [624, 757, 708, 810], \"label\": \"egg\"},\n {\"box_2d\": [630, 698, 719, 759], \"label\": \"egg\"},\n {\"box_2d\": [706, 616, 789, 677], \"label\": \"egg\"},\n {\"box_2d\": [740, 741, 818, 796], \"label\": \"egg\"},\n {\"box_2d\": [753, 657, 838, 718], \"label\": \"egg\"},\n {\"box_2d\": [772, 519, 855, 581], \"label\": \"egg\"},\n {\"box_2d\": [801, 698, 881, 756], \"label\": \"egg\"},\n {\"box_2d\": [891, 730, 976, 774], \"label\": \"egg\"},\n {\"box_2d\": [907, 675, 985, 733], \"label\": \"egg\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 2226, "elapsed_seconds": 21.046279875095934, "metadata": {"match_method": "map", "num_predictions": 23, "num_ground_truth": 23, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 21.1387}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 57, "image": "wood-log-detection_024_png_jpg.rf.263e49a755104b6d29dbdffe768891e9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [64, 292, 125, 383], \"label\": \"log cross-section\"},\n {\"box_2d\": [102, 412, 150, 470], \"label\": \"log cross-section\"},\n {\"box_2d\": [120, 656, 148, 692], \"label\": \"log cross-section\"},\n {\"box_2d\": [126, 239, 166, 297], \"label\": \"log cross-section\"},\n {\"box_2d\": [126, 469, 155, 502], \"label\": \"log cross-section\"},\n {\"box_2d\": [145, 281, 180, 322], \"label\": \"log cross-section\"},\n {\"box_2d\": [147, 319, 189, 370], \"label\": \"log cross-section\"},\n {\"box_2d\": [148, 656, 206, 727], \"label\": \"log cross-section\"},\n {\"box_2d\": [150, 442, 191, 491], \"label\": \"log cross-section\"},\n {\"box_2d\": [153, 533, 203, 600], \"label\": \"log cross-section\"},\n {\"box_2d\": [167, 386, 198, 425], \"label\": \"log cross-section\"},\n {\"box_2d\": [169, 245, 225, 314], \"label\": \"log cross-section\"},\n {\"box_2d\": [175, 600, 222, 661], \"label\": \"log cross-section\"},\n {\"box_2d\": [184, 511, 219, 552], \"label\": \"log cross-section\"},\n {\"box_2d\": [191, 319, 239, 378], \"label\": \"log cross-section\"},\n {\"box_2d\": [200, 422, 239, 477], \"label\": \"log cross-section\"},\n {\"box_2d\": [200, 697, 234, 744], \"label\": \"log cross-section\"},\n {\"box_2d\": [206, 620, 256, 686], \"label\": \"log cross-section\"},\n {\"box_2d\": [214, 238, 247, 281], \"label\": \"log cross-section\"},\n {\"box_2d\": [214, 488, 245, 523], \"label\": \"log cross-section\"},\n {\"box_2d\": [220, 566, 253, 600], \"label\": \"log cross-section\"},\n {\"box_2d\": [222, 519, 264, 567], \"label\": \"log cross-section\"},\n {\"box_2d\": [223, 292, 259, 338], \"label\": \"log cross-section\"},\n {\"box_2d\": [231, 438, 269, 483], \"label\": \"log cross-section\"},\n {\"box_2d\": [236, 386, 277, 434], \"label\": \"log cross-section\"},\n {\"box_2d\": [247, 320, 283, 366], \"label\": \"log cross-section\"},\n {\"box_2d\": [250, 245, 298, 312], \"label\": \"log cross-section\"},\n {\"box_2d\": [250, 489, 283, 533], \"label\": \"log cross-section\"},\n {\"box_2d\": [252, 664, 305, 738], \"label\": \"log cross-section\"},\n {\"box_2d\": [258, 559, 312, 628], \"label\": \"log cross-section\"},\n {\"box_2d\": [266, 419, 308, 480], \"label\": \"log cross-section\"},\n {\"box_2d\": [267, 625, 300, 666], \"label\": \"log cross-section\"},\n {\"box_2d\": [278, 350, 312, 395], \"label\": \"log cross-section\"},\n {\"box_2d\": [292, 473, 328, 517], \"label\": \"log cross-section\"},\n {\"box_2d\": [294, 534, 330, 581], \"label\": \"log cross-section\"},\n {\"box_2d\": [294, 691, 334, 744], \"label\": \"log cross-section\"},\n {\"box_2d\": [297, 414, 342, 477], \"label\": \"log cross-section\"},\n {\"box_2d\": [300, 391, 342, 423], \"label\": \"log cross-section\"},\n {\"box_2d\": [306, 241, 345, 295], \"label\": \"log cross-section\"},\n {\"box_2d\": [327, 642, 355, 691], \"label\": \"log cross-section\"}\n]\n```", "correct": true, "input_tokens": 1228, "output_tokens": 4850, "elapsed_seconds": 43.414150584023446, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 40, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8946012854576111, "attempts": 1, "retries": 0, "total_seconds": 43.434}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 58, "image": "img_458587397241176242_png.rf.41b1d861ca437ce5097848dacad76db8.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [172, 250, 263, 367], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [251, 243, 345, 361], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [332, 224, 434, 353], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [422, 209, 528, 342], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [519, 190, 630, 333], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [623, 171, 736, 322], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [736, 149, 855, 311], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [853, 121, 991, 297], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [126, 362, 217, 474], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [205, 353, 302, 469], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [289, 342, 393, 467], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [378, 333, 487, 462], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [474, 319, 585, 454], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [577, 305, 691, 449], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [690, 289, 809, 448], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [810, 269, 945, 442], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [147, 465, 245, 584], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [231, 463, 334, 587], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [319, 458, 425, 588], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [413, 451, 522, 587], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [513, 441, 628, 591], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [623, 434, 742, 589], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [742, 425, 868, 591], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [867, 412, 1000, 584], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [100, 584, 200, 707], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [182, 580, 285, 709], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [270, 578, 376, 712], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [364, 575, 474, 715], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [466, 574, 580, 720], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [575, 576, 696, 729], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [695, 574, 821, 736], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [824, 569, 971, 742], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [119, 701, 228, 835], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [208, 702, 317, 840], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [299, 704, 412, 847], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [397, 709, 515, 859], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [504, 713, 628, 871], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [623, 719, 748, 885], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [749, 723, 882, 899], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [881, 731, 1000, 913], \"label\": \"empty portable gas cylinder\"}\n]\n```", "correct": false, "input_tokens": 1208, "output_tokens": 5512, "elapsed_seconds": 52.70756545907352, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 40, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.44627004861831665, "attempts": 2, "retries": 1, "total_seconds": 115.8144, "transient_errors": ["RemoteProtocolError"]}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 59, "image": "frame_0008_jpg.rf.87aed24f253375f69a3bb398f6521d18.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [41, 340, 86, 365], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [34, 395, 77, 421], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [25, 450, 69, 476], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [27, 505, 72, 531], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [125, 333, 171, 358], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [116, 388, 165, 415], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [112, 447, 159, 474], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [113, 506, 161, 532], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [217, 326, 263, 352], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [209, 383, 255, 410], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [205, 446, 251, 473], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [205, 509, 250, 535], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [498, 315, 550, 343], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [513, 375, 565, 404], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [526, 438, 577, 467], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [540, 502, 592, 531], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [609, 301, 661, 329], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [624, 360, 678, 390], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [641, 425, 694, 455], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [654, 489, 707, 519], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [721, 295, 773, 323], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [740, 356, 792, 384], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [756, 419, 809, 447], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [769, 485, 822, 514], \"label\": \"soda bottle cap\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 1702, "elapsed_seconds": 18.326343458960764, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 24, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 18.7061}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 60, "image": "uav20221018_ixfZ_3857_0_png.rf.68f3022f53a4bfe08c731fb3a58473cf.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [204, 408, 275, 471], \"label\": \"banana tree\"},\n {\"box_2d\": [228, 336, 309, 405], \"label\": \"banana tree\"},\n {\"box_2d\": [283, 404, 353, 474], \"label\": \"banana tree\"},\n {\"box_2d\": [322, 323, 391, 397], \"label\": \"banana tree\"},\n {\"box_2d\": [372, 395, 443, 480], \"label\": \"banana tree\"},\n {\"box_2d\": [414, 344, 466, 394], \"label\": \"banana tree\"},\n {\"box_2d\": [445, 403, 513, 478], \"label\": \"banana tree\"},\n {\"box_2d\": [492, 319, 571, 403], \"label\": \"banana tree\"},\n {\"box_2d\": [534, 406, 599, 467], \"label\": \"banana tree\"},\n {\"box_2d\": [580, 335, 659, 395], \"label\": \"banana tree\"},\n {\"box_2d\": [625, 409, 704, 485], \"label\": \"banana tree\"},\n {\"box_2d\": [666, 341, 738, 410], \"label\": \"banana tree\"},\n {\"box_2d\": [712, 415, 782, 474], \"label\": \"banana tree\"},\n {\"box_2d\": [750, 322, 834, 404], \"label\": \"banana tree\"},\n {\"box_2d\": [796, 404, 874, 482], \"label\": \"banana tree\"},\n {\"box_2d\": [842, 339, 912, 406], \"label\": \"banana tree\"},\n {\"box_2d\": [875, 405, 948, 484], \"label\": \"banana tree\"},\n {\"box_2d\": [927, 335, 991, 400], \"label\": \"banana tree\"},\n {\"box_2d\": [966, 407, 1000, 479], \"label\": \"banana tree\"},\n {\"box_2d\": [184, 680, 255, 754], \"label\": \"banana tree\"},\n {\"box_2d\": [233, 688, 312, 764], \"label\": \"banana tree\"},\n {\"box_2d\": [272, 629, 340, 691], \"label\": \"banana tree\"},\n {\"box_2d\": [312, 691, 397, 767], \"label\": \"banana tree\"},\n {\"box_2d\": [357, 619, 441, 693], \"label\": \"banana tree\"},\n {\"box_2d\": [397, 696, 481, 772], \"label\": \"banana tree\"},\n {\"box_2d\": [449, 625, 510, 696], \"label\": \"banana tree\"},\n {\"box_2d\": [475, 695, 560, 772], \"label\": \"banana tree\"},\n {\"box_2d\": [534, 620, 608, 701], \"label\": \"banana tree\"},\n {\"box_2d\": [563, 703, 650, 777], \"label\": \"banana tree\"},\n {\"box_2d\": [619, 645, 681, 704], \"label\": \"banana tree\"},\n {\"box_2d\": [653, 693, 738, 779], \"label\": \"banana tree\"},\n {\"box_2d\": [697, 623, 773, 709], \"label\": \"banana tree\"},\n {\"box_2d\": [737, 699, 814, 780], \"label\": \"banana tree\"},\n {\"box_2d\": [786, 634, 860, 702], \"label\": \"banana tree\"},\n {\"box_2d\": [824, 694, 903, 770], \"label\": \"banana tree\"},\n {\"box_2d\": [869, 625, 938, 704], \"label\": \"banana tree\"},\n {\"box_2d\": [908, 700, 987, 768], \"label\": \"banana tree\"},\n {\"box_2d\": [960, 623, 1000, 697], \"label\": \"banana tree\"},\n {\"box_2d\": [202, 937, 267, 987], \"label\": \"banana tree\"},\n {\"box_2d\": [283, 926, 371, 996], \"label\": \"banana tree\"},\n {\"box_2d\": [378, 925, 449, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [448, 934, 531, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [539, 920, 619, 999], \"label\": \"banana tree\"},\n {\"box_2d\": [625, 939, 698, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [705, 929, 787, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [795, 945, 863, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [875, 934, 954, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [967, 947, 1000, 998], \"label\": \"banana tree\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 6093, "elapsed_seconds": 50.92951349995565, "metadata": {"match_method": "map", "num_predictions": 48, "num_ground_truth": 47, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9872112274169922, "attempts": 1, "retries": 0, "total_seconds": 50.9807}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 61, "image": "egg-detection_image32_jpg.rf.bd04bf65691e0bae0f1d97601289a543.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [175, 692, 255, 753], \"label\": \"egg\"},\n {\"box_2d\": [447, 427, 535, 491], \"label\": \"egg\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 255, "elapsed_seconds": 6.876707250019535, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 6.9736}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 62, "image": "construction-safety_ppe_0407_jpg.rf.b54d8bba5b223e0515f3d28ff728e79a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [375, 333, 820, 414], \"label\": \"person\"},\n {\"box_2d\": [374, 353, 417, 382], \"label\": \"safety helmet\"},\n {\"box_2d\": [448, 342, 636, 393], \"label\": \"safety vest\"},\n {\"box_2d\": [359, 389, 780, 444], \"label\": \"person\"},\n {\"box_2d\": [357, 405, 401, 433], \"label\": \"safety helmet\"},\n {\"box_2d\": [427, 392, 587, 443], \"label\": \"safety vest\"},\n {\"box_2d\": [344, 456, 735, 512], \"label\": \"person\"},\n {\"box_2d\": [354, 483, 678, 514], \"label\": \"person\"},\n {\"box_2d\": [344, 463, 388, 495], \"label\": \"safety helmet\"},\n {\"box_2d\": [418, 456, 613, 506], \"label\": \"safety vest\"},\n {\"box_2d\": [377, 517, 811, 577], \"label\": \"person\"},\n {\"box_2d\": [377, 536, 434, 567], \"label\": \"safety helmet\"},\n {\"box_2d\": [450, 524, 651, 574], \"label\": \"safety vest\"},\n {\"box_2d\": [399, 578, 809, 634], \"label\": \"person\"},\n {\"box_2d\": [399, 590, 443, 617], \"label\": \"safety helmet\"},\n {\"box_2d\": [462, 582, 651, 631], \"label\": \"safety vest\"},\n {\"box_2d\": [351, 643, 822, 696], \"label\": \"person\"},\n {\"box_2d\": [348, 654, 392, 683], \"label\": \"safety helmet\"},\n {\"box_2d\": [436, 647, 608, 694], \"label\": \"safety vest\"},\n {\"box_2d\": [309, 609, 991, 767], \"label\": \"person\"},\n {\"box_2d\": [309, 697, 375, 743], \"label\": \"safety helmet\"},\n {\"box_2d\": [404, 686, 681, 765], \"label\": \"safety vest\"},\n {\"box_2d\": [360, 725, 861, 772], \"label\": \"person\"},\n {\"box_2d\": [359, 735, 398, 753], \"label\": \"safety helmet\"},\n {\"box_2d\": [331, 808, 895, 895], \"label\": \"person\"},\n {\"box_2d\": [331, 822, 376, 862], \"label\": \"safety helmet\"},\n {\"box_2d\": [419, 825, 637, 890], \"label\": \"safety vest\"}\n]\n```", "correct": true, "input_tokens": 1220, "output_tokens": 2294, "elapsed_seconds": 23.57490666594822, "metadata": {"match_method": "map", "num_predictions": 27, "num_ground_truth": 28, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9603960514068604, "attempts": 1, "retries": 0, "total_seconds": 23.5996}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 63, "image": "IMG_4931_jpg.rf.58c129944a1f2b663c55dbd43e27cf91.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [603, 248, 643, 267], \"label\": \"face\"},\n {\"box_2d\": [631, 341, 675, 363], \"label\": \"face\"},\n {\"box_2d\": [420, 250, 450, 267], \"label\": \"face\"},\n {\"box_2d\": [433, 281, 464, 297], \"label\": \"face\"},\n {\"box_2d\": [423, 376, 452, 391], \"label\": \"face\"},\n {\"box_2d\": [338, 399, 361, 412], \"label\": \"face\"},\n {\"box_2d\": [352, 429, 375, 442], \"label\": \"face\"},\n {\"box_2d\": [308, 491, 326, 501], \"label\": \"face\"},\n {\"box_2d\": [320, 524, 340, 534], \"label\": \"face\"},\n {\"box_2d\": [295, 555, 313, 565], \"label\": \"face\"},\n {\"box_2d\": [296, 606, 314, 616], \"label\": \"face\"},\n {\"box_2d\": [321, 633, 340, 643], \"label\": \"face\"},\n {\"box_2d\": [345, 614, 364, 624], \"label\": \"face\"},\n {\"box_2d\": [345, 645, 364, 655], \"label\": \"face\"},\n {\"box_2d\": [358, 597, 380, 610], \"label\": \"face\"},\n {\"box_2d\": [367, 623, 388, 636], \"label\": \"face\"},\n {\"box_2d\": [336, 695, 356, 705], \"label\": \"face\"},\n {\"box_2d\": [356, 726, 375, 736], \"label\": \"face\"},\n {\"box_2d\": [359, 757, 378, 767], \"label\": \"face\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 2551, "elapsed_seconds": 24.544440791010857, "metadata": {"match_method": "map", "num_predictions": 19, "num_ground_truth": 28, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6732673048973083, "attempts": 1, "retries": 0, "total_seconds": 24.869}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 64, "image": "tile_232_jpg.rf.d215d900b9cd862d3217f88435d7ad8a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [587, 406, 646, 519], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [623, 546, 718, 746], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [669, 781, 731, 976], \"label\": \"ship in SAR satellite image\"}\n]\n```", "correct": true, "input_tokens": 1229, "output_tokens": 1086, "elapsed_seconds": 13.243053875048645, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 13.273}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 65, "image": "IMG_20250815_164441_jpg.rf.3c12e140b11a4091c99d31ed66a86850.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [92, 637, 148, 665], \"label\": \"barcode\"},\n {\"box_2d\": [146, 261, 203, 290], \"label\": \"barcode\"},\n {\"box_2d\": [156, 418, 181, 446], \"label\": \"barcode\"},\n {\"box_2d\": [179, 511, 234, 538], \"label\": \"barcode\"},\n {\"box_2d\": [500, 486, 524, 513], \"label\": \"barcode\"},\n {\"box_2d\": [503, 324, 557, 353], \"label\": \"barcode\"},\n {\"box_2d\": [507, 629, 561, 657], \"label\": \"barcode\"},\n {\"box_2d\": [515, 208, 567, 237], \"label\": \"barcode\"},\n {\"box_2d\": [535, 838, 588, 867], \"label\": \"barcode\"},\n {\"box_2d\": [597, 38, 622, 67], \"label\": \"barcode\"},\n {\"box_2d\": [603, 229, 628, 258], \"label\": \"barcode\"},\n {\"box_2d\": [611, 371, 637, 400], \"label\": \"barcode\"},\n {\"box_2d\": [615, 519, 640, 547], \"label\": \"barcode\"},\n {\"box_2d\": [621, 666, 646, 694], \"label\": \"barcode\"},\n {\"box_2d\": [630, 838, 654, 865], \"label\": \"barcode\"},\n {\"box_2d\": [632, 979, 657, 1000], \"label\": \"barcode\"},\n {\"box_2d\": [830, 41, 884, 69], \"label\": \"barcode\"},\n {\"box_2d\": [832, 214, 856, 242], \"label\": \"barcode\"},\n {\"box_2d\": [864, 396, 889, 424], \"label\": \"barcode\"},\n {\"box_2d\": [866, 525, 891, 552], \"label\": \"barcode\"},\n {\"box_2d\": [864, 653, 887, 680], \"label\": \"barcode\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 2328, "elapsed_seconds": 21.80650741700083, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 21, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 22.1464}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 66, "image": "car-part-detection_Car-damages-128_png_jpg.rf.e07bc73742c49cec70d8b7dc538a39d2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [559, 55, 771, 113], \"label\": \"front bumper\"},\n {\"box_2d\": [499, 67, 580, 107], \"label\": \"headlight\"},\n {\"box_2d\": [361, 72, 499, 327], \"label\": \"hood\"},\n {\"box_2d\": [227, 299, 417, 456], \"label\": \"windshield\"},\n {\"box_2d\": [344, 379, 418, 419], \"label\": \"mirror\"},\n {\"box_2d\": [219, 351, 416, 595], \"label\": \"front window\"},\n {\"box_2d\": [219, 316, 718, 590], \"label\": \"front door\"},\n {\"box_2d\": [217, 598, 391, 814], \"label\": \"back window\"},\n {\"box_2d\": [215, 563, 703, 814], \"label\": \"back door\"},\n {\"box_2d\": [244, 864, 368, 920], \"label\": \"back windshield\"},\n {\"box_2d\": [355, 895, 479, 932], \"label\": \"tail light\"},\n {\"box_2d\": [479, 852, 720, 950], \"label\": \"back bumper\"}\n]\n```", "correct": true, "input_tokens": 1224, "output_tokens": 1314, "elapsed_seconds": 13.63201491709333, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 13, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9587457776069641, "attempts": 1, "retries": 0, "total_seconds": 13.6533}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 67, "image": "Lego_73_low_jpeg.rf.bf207a14dd8d49e9b00aae2e1a8886e1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [62, 203, 130, 297], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [229, 43, 304, 146], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [187, 239, 259, 336], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [201, 452, 259, 558], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [105, 517, 182, 616], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [36, 678, 135, 787], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [234, 667, 319, 738], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [198, 763, 301, 825], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [185, 811, 287, 858], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [128, 840, 237, 886], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [159, 938, 248, 1000], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [399, 41, 497, 114], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [454, 271, 550, 329], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [413, 427, 483, 536], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [379, 630, 476, 689], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [387, 681, 467, 773], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [408, 728, 485, 811], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [386, 808, 469, 878], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [493, 797, 567, 862], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [526, 850, 622, 946], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [570, 779, 653, 850], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [527, 535, 603, 623], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [592, 588, 653, 691], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [546, 392, 626, 484], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [588, 427, 653, 530], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [608, 294, 659, 410], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [703, 93, 805, 169], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [715, 396, 758, 498], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [720, 632, 783, 732], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [706, 847, 790, 931], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [770, 892, 836, 970], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [637, 938, 726, 1000], \"label\": \"lego 4x1 brick\"}\n]\n```", "correct": true, "input_tokens": 1244, "output_tokens": 5477, "elapsed_seconds": 43.80949862499256, "metadata": {"match_method": "map", "num_predictions": 32, "num_ground_truth": 32, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8523102402687073, "attempts": 1, "retries": 0, "total_seconds": 43.8743}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 68, "image": "IMG_6646_jpeg_jpg.rf.bb15616ff058bc9ba8f9683f61ab5fbb.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [311, 528, 372, 710], \"label\": \"green poker chip\"},\n {\"box_2d\": [345, 336, 412, 506], \"label\": \"green poker chip\"},\n {\"box_2d\": [349, 531, 389, 706], \"label\": \"green poker chip\"},\n {\"box_2d\": [360, 530, 405, 705], \"label\": \"green poker chip\"},\n {\"box_2d\": [378, 531, 422, 706], \"label\": \"green poker chip\"},\n {\"box_2d\": [387, 338, 427, 507], \"label\": \"green poker chip\"},\n {\"box_2d\": [393, 532, 439, 706], \"label\": \"green poker chip\"},\n {\"box_2d\": [403, 341, 444, 511], \"label\": \"green poker chip\"},\n {\"box_2d\": [408, 531, 455, 704], \"label\": \"green poker chip\"},\n {\"box_2d\": [419, 344, 461, 515], \"label\": \"green poker chip\"},\n {\"box_2d\": [421, 531, 469, 701], \"label\": \"green poker chip\"},\n {\"box_2d\": [432, 346, 476, 516], \"label\": \"green poker chip\"},\n {\"box_2d\": [434, 530, 484, 699], \"label\": \"green poker chip\"},\n {\"box_2d\": [448, 348, 493, 512], \"label\": \"green poker chip\"},\n {\"box_2d\": [449, 530, 500, 696], \"label\": \"green poker chip\"},\n {\"box_2d\": [454, 342, 511, 509], \"label\": \"green poker chip\"},\n {\"box_2d\": [461, 549, 521, 718], \"label\": \"green poker chip\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 2147, "elapsed_seconds": 16.591147958068177, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 17, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 16.6104}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 69, "image": "41_jpg.rf.2cb4080a10f215e4bd4d6ed6d4ea3e68.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [27, 385, 86, 622], \"label\": \"blood sample tube\"},\n {\"box_2d\": [20, 621, 83, 866], \"label\": \"blood sample tube\"},\n {\"box_2d\": [77, 386, 144, 622], \"label\": \"blood sample tube\"},\n {\"box_2d\": [77, 626, 141, 875], \"label\": \"blood sample tube\"},\n {\"box_2d\": [134, 466, 200, 709], \"label\": \"blood sample tube\"},\n {\"box_2d\": [175, 631, 274, 886], \"label\": \"blood sample tube\"},\n {\"box_2d\": [90, 329, 346, 513], \"label\": \"blood sample tube\"},\n {\"box_2d\": [235, 240, 545, 324], \"label\": \"blood sample tube\"},\n {\"box_2d\": [465, 180, 704, 383], \"label\": \"blood sample tube\"},\n {\"box_2d\": [549, 336, 732, 560], \"label\": \"blood sample tube\"},\n {\"box_2d\": [555, 417, 735, 643], \"label\": \"blood sample tube\"},\n {\"box_2d\": [336, 376, 603, 550], \"label\": \"blood sample tube\"},\n {\"box_2d\": [355, 475, 646, 622], \"label\": \"blood sample tube\"},\n {\"box_2d\": [231, 496, 536, 619], \"label\": \"blood sample tube\"},\n {\"box_2d\": [304, 616, 606, 750], \"label\": \"blood sample tube\"},\n {\"box_2d\": [395, 636, 684, 789], \"label\": \"blood sample tube\"},\n {\"box_2d\": [366, 725, 681, 845], \"label\": \"blood sample tube\"},\n {\"box_2d\": [345, 830, 682, 888], \"label\": \"blood sample tube\"},\n {\"box_2d\": [354, 878, 686, 929], \"label\": \"blood sample tube\"},\n {\"box_2d\": [25, 867, 355, 920], \"label\": \"blood sample tube\"},\n {\"box_2d\": [677, 673, 738, 928], \"label\": \"blood sample tube\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 2199, "elapsed_seconds": 16.536832749960013, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 21, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 16.5588}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 70, "image": "construction-safety_ppe_0710_jpg.rf.d335438ef5819cfad67cee1d9e8c6eab.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [172, 46, 892, 184], \"label\": \"person\"},\n {\"box_2d\": [228, 151, 892, 279], \"label\": \"person\"},\n {\"box_2d\": [191, 248, 829, 349], \"label\": \"person\"},\n {\"box_2d\": [222, 315, 868, 443], \"label\": \"person\"},\n {\"box_2d\": [223, 434, 839, 567], \"label\": \"person\"},\n {\"box_2d\": [281, 543, 891, 675], \"label\": \"person\"},\n {\"box_2d\": [211, 650, 860, 797], \"label\": \"person\"},\n {\"box_2d\": [224, 738, 956, 927], \"label\": \"person\"},\n {\"box_2d\": [170, 102, 232, 163], \"label\": \"safety helmet\"},\n {\"box_2d\": [224, 177, 297, 245], \"label\": \"safety helmet\"},\n {\"box_2d\": [191, 277, 245, 329], \"label\": \"safety helmet\"},\n {\"box_2d\": [218, 346, 275, 403], \"label\": \"safety helmet\"},\n {\"box_2d\": [221, 462, 281, 519], \"label\": \"safety helmet\"},\n {\"box_2d\": [279, 570, 336, 626], \"label\": \"safety helmet\"},\n {\"box_2d\": [211, 697, 267, 754], \"label\": \"safety helmet\"},\n {\"box_2d\": [223, 783, 296, 858], \"label\": \"safety helmet\"},\n {\"box_2d\": [282, 74, 513, 179], \"label\": \"safety vest\"},\n {\"box_2d\": [343, 168, 586, 276], \"label\": \"safety vest\"},\n {\"box_2d\": [301, 256, 509, 343], \"label\": \"safety vest\"},\n {\"box_2d\": [328, 323, 557, 427], \"label\": \"safety vest\"},\n {\"box_2d\": [327, 448, 542, 549], \"label\": \"safety vest\"},\n {\"box_2d\": [388, 553, 622, 654], \"label\": \"safety vest\"},\n {\"box_2d\": [318, 667, 526, 785], \"label\": \"safety vest\"},\n {\"box_2d\": [336, 761, 572, 897], \"label\": \"safety vest\"}\n]\n```", "correct": true, "input_tokens": 1222, "output_tokens": 1686, "elapsed_seconds": 13.527676249970682, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 24, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 13.577}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 71, "image": "4103456_ContLeftUpper_f_jpg.rf.6635963edc568c350879157eaf0b4b06.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [389, 17, 419, 40], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [445, 17, 478, 40], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [543, 18, 567, 42], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [533, 97, 560, 126], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [368, 177, 417, 203], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [429, 178, 482, 204], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [522, 179, 583, 206], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [360, 257, 395, 282], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [416, 258, 465, 283], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [556, 260, 577, 286], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [362, 337, 395, 362], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [418, 338, 456, 363], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [556, 340, 576, 365], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [352, 417, 386, 443], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [434, 419, 465, 444], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [350, 498, 394, 524], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [397, 738, 439, 761], \"label\": \"shipping container wall dent\"}\n]\n```", "correct": false, "input_tokens": 1255, "output_tokens": 2323, "elapsed_seconds": 21.110237499931827, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 20, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6225247383117676, "attempts": 1, "retries": 0, "total_seconds": 21.1956}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 72, "image": "V000087_0_0-Drive-Shaft_jpeg_jpg.rf.148a90e2fb96f98fb22ea082d09655d1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [171, 349, 215, 448], \"label\": \"surface roughness symbol\"},\n {\"box_2d\": [164, 434, 222, 498], \"label\": \"dimension annotation\"},\n {\"box_2d\": [169, 492, 240, 566], \"label\": \"dimension annotation\"},\n {\"box_2d\": [184, 545, 222, 631], \"label\": \"dimension annotation\"},\n {\"box_2d\": [244, 489, 291, 553], \"label\": \"dimension annotation\"},\n {\"box_2d\": [262, 549, 291, 666], \"label\": \"dimension annotation\"},\n {\"box_2d\": [268, 312, 322, 434], \"label\": \"dimension annotation\"},\n {\"box_2d\": [259, 432, 322, 578], \"label\": \"dimension annotation\"},\n {\"box_2d\": [156, 673, 267, 814], \"label\": \"dimension annotation\"},\n {\"box_2d\": [145, 756, 286, 906], \"label\": \"dimension annotation\"},\n {\"box_2d\": [485, 215, 541, 578], \"label\": \"dimension annotation\"},\n {\"box_2d\": [436, 576, 476, 628], \"label\": \"dimension annotation\"},\n {\"box_2d\": [471, 576, 517, 628], \"label\": \"dimension annotation\"},\n {\"box_2d\": [428, 435, 485, 670], \"label\": \"dimension annotation\"},\n {\"box_2d\": [800, 94, 967, 954], \"label\": \"technical drawing table\"}\n]\n```", "correct": false, "input_tokens": 1237, "output_tokens": 1795, "elapsed_seconds": 15.794673416996375, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.666666567325592, "attempts": 1, "retries": 0, "total_seconds": 15.8085}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 73, "image": "1_000290_png.rf.2ed72f4c5f09c4e50e5326dbdb424cd7.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [95, 772, 108, 796], \"label\": \"tire spike normal\"},\n {\"box_2d\": [80, 564, 90, 591], \"label\": \"tire spike normal\"},\n {\"box_2d\": [134, 746, 148, 773], \"label\": \"tire spike normal\"},\n {\"box_2d\": [158, 647, 172, 677], \"label\": \"tire spike normal\"},\n {\"box_2d\": [134, 353, 146, 378], \"label\": \"tire spike normal\"},\n {\"box_2d\": [114, 259, 127, 286], \"label\": \"tire spike normal\"},\n {\"box_2d\": [217, 273, 232, 300], \"label\": \"tire spike normal\"},\n {\"box_2d\": [206, 429, 219, 458], \"label\": \"tire spike normal\"},\n {\"box_2d\": [236, 564, 251, 594], \"label\": \"tire spike normal\"},\n {\"box_2d\": [248, 723, 265, 754], \"label\": \"tire spike normal\"},\n {\"box_2d\": [297, 495, 313, 525], \"label\": \"tire spike normal\"},\n {\"box_2d\": [301, 216, 319, 245], \"label\": \"tire spike normal\"},\n {\"box_2d\": [337, 778, 358, 809], \"label\": \"tire spike normal\"},\n {\"box_2d\": [381, 365, 398, 396], \"label\": \"tire spike normal\"},\n {\"box_2d\": [424, 622, 442, 655], \"label\": \"tire spike normal\"},\n {\"box_2d\": [450, 397, 468, 428], \"label\": \"tire spike normal\"},\n {\"box_2d\": [455, 199, 476, 231], \"label\": \"tire spike normal\"},\n {\"box_2d\": [494, 589, 517, 624], \"label\": \"tire spike normal\"},\n {\"box_2d\": [498, 787, 521, 820], \"label\": \"tire spike normal\"},\n {\"box_2d\": [536, 246, 559, 279], \"label\": \"tire spike normal\"},\n {\"box_2d\": [584, 738, 608, 772], \"label\": \"tire spike normal\"},\n {\"box_2d\": [654, 171, 678, 202], \"label\": \"tire spike normal\"},\n {\"box_2d\": [642, 413, 665, 448], \"label\": \"tire spike absent\"},\n {\"box_2d\": [696, 566, 717, 597], \"label\": \"tire spike normal\"},\n {\"box_2d\": [706, 814, 729, 847], \"label\": \"tire spike normal\"},\n {\"box_2d\": [759, 204, 781, 233], \"label\": \"tire spike normal\"},\n {\"box_2d\": [826, 317, 848, 349], \"label\": \"tire spike normal\"},\n {\"box_2d\": [814, 782, 840, 815], \"label\": \"tire spike normal\"},\n {\"box_2d\": [881, 667, 902, 699], \"label\": \"tire spike normal\"},\n {\"box_2d\": [891, 488, 916, 522], \"label\": \"tire spike normal\"}\n]\n```", "correct": false, "input_tokens": 1215, "output_tokens": 2845, "elapsed_seconds": 27.892605250002816, "metadata": {"match_method": "map", "num_predictions": 30, "num_ground_truth": 35, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.40146154165267944, "attempts": 1, "retries": 0, "total_seconds": 27.9423}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 74, "image": "GP010212_JPG_jpg.rf.6a034cdac286be2f0a162b6bfc04e1c0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [231, 498, 272, 719], \"label\": \"carrot\"},\n {\"box_2d\": [255, 448, 311, 608], \"label\": \"carrot\"},\n {\"box_2d\": [256, 200, 366, 383], \"label\": \"carrot\"},\n {\"box_2d\": [269, 230, 378, 439], \"label\": \"carrot\"},\n {\"box_2d\": [280, 506, 369, 680], \"label\": \"carrot\"},\n {\"box_2d\": [322, 486, 391, 647], \"label\": \"carrot\"},\n {\"box_2d\": [339, 430, 412, 583], \"label\": \"carrot\"},\n {\"box_2d\": [298, 673, 453, 703], \"label\": \"carrot\"},\n {\"box_2d\": [380, 525, 442, 686], \"label\": \"carrot\"},\n {\"box_2d\": [364, 250, 408, 488], \"label\": \"carrot\"},\n {\"box_2d\": [397, 327, 434, 505], \"label\": \"carrot\"},\n {\"box_2d\": [428, 367, 455, 514], \"label\": \"carrot\"},\n {\"box_2d\": [453, 444, 488, 650], \"label\": \"carrot\"},\n {\"box_2d\": [455, 406, 522, 567], \"label\": \"carrot\"},\n {\"box_2d\": [427, 286, 519, 495], \"label\": \"carrot\"},\n {\"box_2d\": [470, 288, 525, 456], \"label\": \"carrot\"},\n {\"box_2d\": [355, 95, 492, 255], \"label\": \"carrot\"},\n {\"box_2d\": [373, 184, 502, 286], \"label\": \"carrot\"},\n {\"box_2d\": [497, 108, 634, 236], \"label\": \"carrot\"},\n {\"box_2d\": [478, 209, 622, 353], \"label\": \"carrot\"},\n {\"box_2d\": [628, 209, 670, 428], \"label\": \"carrot\"},\n {\"box_2d\": [533, 302, 659, 491], \"label\": \"carrot\"},\n {\"box_2d\": [530, 333, 588, 584], \"label\": \"carrot\"},\n {\"box_2d\": [522, 427, 553, 591], \"label\": \"carrot\"},\n {\"box_2d\": [488, 616, 569, 808], \"label\": \"carrot\"},\n {\"box_2d\": [573, 527, 611, 725], \"label\": \"carrot\"},\n {\"box_2d\": [608, 558, 642, 723], \"label\": \"carrot\"},\n {\"box_2d\": [628, 525, 684, 769], \"label\": \"carrot\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 2980, "elapsed_seconds": 23.925765207968652, "metadata": {"match_method": "map", "num_predictions": 28, "num_ground_truth": 28, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 23.9511}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 75, "image": "egg-detection_image25_jpg.rf.5c4d3f7ce6887203cc33b5f86e849ef9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [74, 751, 144, 797], \"label\": \"egg\"},\n {\"box_2d\": [89, 798, 158, 840], \"label\": \"egg\"},\n {\"box_2d\": [114, 715, 185, 764], \"label\": \"egg\"},\n {\"box_2d\": [242, 395, 329, 453], \"label\": \"egg\"},\n {\"box_2d\": [264, 689, 350, 751], \"label\": \"egg\"},\n {\"box_2d\": [288, 810, 362, 855], \"label\": \"egg\"},\n {\"box_2d\": [324, 661, 403, 712], \"label\": \"egg\"},\n {\"box_2d\": [373, 581, 466, 632], \"label\": \"egg\"},\n {\"box_2d\": [398, 809, 472, 854], \"label\": \"egg\"},\n {\"box_2d\": [495, 444, 579, 505], \"label\": \"egg\"},\n {\"box_2d\": [563, 521, 646, 580], \"label\": \"egg\"},\n {\"box_2d\": [616, 485, 718, 533], \"label\": \"egg\"},\n {\"box_2d\": [684, 430, 761, 489], \"label\": \"egg\"},\n {\"box_2d\": [855, 601, 932, 654], \"label\": \"egg\"},\n {\"box_2d\": [846, 677, 920, 731], \"label\": \"egg\"},\n {\"box_2d\": [889, 710, 962, 756], \"label\": \"egg\"},\n {\"box_2d\": [835, 745, 905, 790], \"label\": \"egg\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 1705, "elapsed_seconds": 15.980603000032715, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 17, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 16.0699}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 76, "image": "94D76C4A-9650-486B-8278-406A692F552F_jpg.rf.441749660b1bde146bfdbfa517d4e058.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [731, 204, 779, 249], \"label\": \"pill\"},\n {\"box_2d\": [614, 343, 661, 390], \"label\": \"pill\"},\n {\"box_2d\": [602, 658, 650, 706], \"label\": \"pill\"},\n {\"box_2d\": [525, 301, 571, 348], \"label\": \"pill\"},\n {\"box_2d\": [512, 403, 559, 450], \"label\": \"pill\"},\n {\"box_2d\": [499, 485, 545, 532], \"label\": \"pill\"},\n {\"box_2d\": [485, 574, 531, 621], \"label\": \"pill\"},\n {\"box_2d\": [496, 632, 543, 680], \"label\": \"pill\"},\n {\"box_2d\": [454, 675, 500, 722], \"label\": \"pill\"},\n {\"box_2d\": [444, 585, 490, 632], \"label\": \"pill\"},\n {\"box_2d\": [451, 517, 496, 562], \"label\": \"pill\"},\n {\"box_2d\": [423, 550, 469, 595], \"label\": \"pill\"},\n {\"box_2d\": [408, 509, 453, 555], \"label\": \"pill\"},\n {\"box_2d\": [415, 425, 461, 471], \"label\": \"pill\"},\n {\"box_2d\": [384, 456, 430, 501], \"label\": \"pill\"},\n {\"box_2d\": [468, 329, 513, 376], \"label\": \"pill\"},\n {\"box_2d\": [469, 281, 514, 327], \"label\": \"pill\"},\n {\"box_2d\": [432, 237, 478, 282], \"label\": \"pill\"},\n {\"box_2d\": [426, 285, 471, 331], \"label\": \"pill\"},\n {\"box_2d\": [403, 359, 450, 405], \"label\": \"pill\"},\n {\"box_2d\": [386, 300, 431, 346], \"label\": \"pill\"},\n {\"box_2d\": [364, 338, 409, 384], \"label\": \"pill\"},\n {\"box_2d\": [345, 274, 391, 320], \"label\": \"pill\"},\n {\"box_2d\": [322, 433, 368, 479], \"label\": \"pill\"},\n {\"box_2d\": [309, 474, 355, 520], \"label\": \"pill\"},\n {\"box_2d\": [321, 518, 366, 564], \"label\": \"pill\"},\n {\"box_2d\": [361, 498, 406, 543], \"label\": \"pill\"},\n {\"box_2d\": [360, 541, 405, 587], \"label\": \"pill\"},\n {\"box_2d\": [386, 579, 432, 625], \"label\": \"pill\"},\n {\"box_2d\": [387, 625, 433, 671], \"label\": \"pill\"},\n {\"box_2d\": [408, 667, 453, 714], \"label\": \"pill\"},\n {\"box_2d\": [361, 707, 407, 755], \"label\": \"pill\"},\n {\"box_2d\": [343, 639, 389, 686], \"label\": \"pill\"},\n {\"box_2d\": [317, 590, 363, 637], \"label\": \"pill\"},\n {\"box_2d\": [299, 660, 346, 707], \"label\": \"pill\"},\n {\"box_2d\": [269, 605, 316, 651], \"label\": \"pill\"},\n {\"box_2d\": [263, 561, 309, 607], \"label\": \"pill\"},\n {\"box_2d\": [268, 461, 313, 507], \"label\": \"pill\"},\n {\"box_2d\": [234, 435, 280, 481], \"label\": \"pill\"},\n {\"box_2d\": [195, 357, 241, 403], \"label\": \"pill\"},\n {\"box_2d\": [189, 412, 234, 459], \"label\": \"pill\"},\n {\"box_2d\": [181, 490, 227, 535], \"label\": \"pill\"},\n {\"box_2d\": [162, 577, 208, 622], \"label\": \"pill\"},\n {\"box_2d\": [165, 621, 211, 667], \"label\": \"pill\"},\n {\"box_2d\": [197, 660, 244, 707], \"label\": \"pill\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 4019, "elapsed_seconds": 36.449069708934985, "metadata": {"match_method": "map", "num_predictions": 45, "num_ground_truth": 45, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 36.7618}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 77, "image": "IMG_3989_JPG.rf.c4cc3b74f996b28db8e9373b455775a3.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [415, 412, 447, 429], \"label\": \"face\"},\n {\"box_2d\": [304, 382, 330, 395], \"label\": \"face\"},\n {\"box_2d\": [304, 332, 328, 344], \"label\": \"face\"},\n {\"box_2d\": [401, 598, 422, 611], \"label\": \"face\"},\n {\"box_2d\": [270, 460, 290, 471], \"label\": \"face\"},\n {\"box_2d\": [206, 311, 226, 322], \"label\": \"face\"},\n {\"box_2d\": [214, 337, 233, 347], \"label\": \"face\"},\n {\"box_2d\": [201, 277, 221, 288], \"label\": \"face\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 1471, "elapsed_seconds": 18.225182667025365, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6633663177490234, "attempts": 1, "retries": 0, "total_seconds": 18.5401}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 78, "image": "basketball-player-detection_boston-celtics-new-york-knicks-game-4-q1-01-22-01-16-0112_png.rf.813de841eef35ee5de0aa209e2d3e51f.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [220, 224, 252, 244], \"label\": \"basketball\"},\n {\"box_2d\": [289, 177, 597, 228], \"label\": \"player taking jump shot\"},\n {\"box_2d\": [289, 177, 597, 228], \"label\": \"player\"},\n {\"box_2d\": [296, 217, 581, 319], \"label\": \"player\"},\n {\"box_2d\": [606, 251, 880, 315], \"label\": \"player\"},\n {\"box_2d\": [515, 400, 769, 453], \"label\": \"player\"},\n {\"box_2d\": [291, 353, 491, 412], \"label\": \"player\"},\n {\"box_2d\": [231, 304, 413, 356], \"label\": \"player\"},\n {\"box_2d\": [281, 591, 463, 634], \"label\": \"player\"},\n {\"box_2d\": [221, 610, 376, 646], \"label\": \"player\"},\n {\"box_2d\": [513, 722, 728, 787], \"label\": \"player\"},\n {\"box_2d\": [626, 819, 821, 871], \"label\": \"player\"},\n {\"box_2d\": [245, 0, 434, 45], \"label\": \"referee\"},\n {\"box_2d\": [688, 576, 868, 623], \"label\": \"referee\"},\n {\"box_2d\": [269, 768, 460, 801], \"label\": \"referee\"},\n {\"box_2d\": [225, 713, 282, 754], \"label\": \"basket rim\"},\n {\"box_2d\": [406, 181, 433, 189], \"label\": \"jersey number\"},\n {\"box_2d\": [396, 263, 416, 278], \"label\": \"jersey number\"},\n {\"box_2d\": [677, 278, 706, 290], \"label\": \"jersey number\"},\n {\"box_2d\": [333, 379, 358, 389], \"label\": \"jersey number\"},\n {\"box_2d\": [555, 430, 583, 444], \"label\": \"jersey number\"},\n {\"box_2d\": [273, 627, 293, 634], \"label\": \"jersey number\"},\n {\"box_2d\": [569, 753, 591, 764], \"label\": \"jersey number\"},\n {\"box_2d\": [691, 839, 722, 853], \"label\": \"jersey number\"},\n {\"box_2d\": [742, 596, 767, 609], \"label\": \"jersey number\"}\n]\n```", "correct": false, "input_tokens": 1251, "output_tokens": 2649, "elapsed_seconds": 24.159692166023888, "metadata": {"match_method": "map", "num_predictions": 25, "num_ground_truth": 25, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7836633324623108, "attempts": 1, "retries": 0, "total_seconds": 24.2541}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 79, "image": "Screenshot-2024-05-16-150258_png.rf.730fbfcbd2cdbb24d8003d2a2cd88782.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [64, 15, 96, 44], \"label\": \"bullet hole\"},\n {\"box_2d\": [110, 100, 143, 134], \"label\": \"bullet hole\"},\n {\"box_2d\": [169, 192, 200, 226], \"label\": \"bullet hole\"},\n {\"box_2d\": [184, 344, 213, 378], \"label\": \"bullet hole\"},\n {\"box_2d\": [250, 480, 279, 513], \"label\": \"bullet hole\"},\n {\"box_2d\": [0, 608, 25, 643], \"label\": \"bullet hole\"},\n {\"box_2d\": [336, 0, 366, 24], \"label\": \"bullet hole\"},\n {\"box_2d\": [438, 222, 469, 254], \"label\": \"bullet hole\"},\n {\"box_2d\": [699, 415, 731, 452], \"label\": \"bullet hole\"},\n {\"box_2d\": [876, 353, 905, 390], \"label\": \"bullet hole\"},\n {\"box_2d\": [982, 182, 1000, 216], \"label\": \"bullet hole\"},\n {\"box_2d\": [660, 686, 691, 718], \"label\": \"bullet hole\"},\n {\"box_2d\": [901, 610, 931, 644], \"label\": \"bullet hole\"},\n {\"box_2d\": [720, 894, 754, 929], \"label\": \"bullet hole\"},\n {\"box_2d\": [818, 847, 848, 880], \"label\": \"bullet hole\"},\n {\"box_2d\": [831, 930, 862, 962], \"label\": \"bullet hole\"},\n {\"box_2d\": [919, 920, 949, 954], \"label\": \"bullet hole\"},\n {\"box_2d\": [57, 766, 90, 801], \"label\": \"bullet hole\"},\n {\"box_2d\": [106, 896, 138, 929], \"label\": \"bullet hole\"},\n {\"box_2d\": [141, 816, 175, 851], \"label\": \"bullet hole\"},\n {\"box_2d\": [159, 684, 192, 718], \"label\": \"bullet hole\"},\n {\"box_2d\": [236, 739, 274, 776], \"label\": \"bullet hole\"},\n {\"box_2d\": [233, 903, 268, 943], \"label\": \"bullet hole\"},\n {\"box_2d\": [326, 799, 361, 838], \"label\": \"bullet hole\"},\n {\"box_2d\": [351, 976, 383, 1000], \"label\": \"bullet hole\"},\n {\"box_2d\": [399, 725, 431, 767], \"label\": \"bullet hole\"},\n {\"box_2d\": [452, 818, 483, 855], \"label\": \"bullet hole\"},\n {\"box_2d\": [434, 620, 465, 656], \"label\": \"bullet hole\"},\n {\"box_2d\": [484, 696, 518, 735], \"label\": \"bullet hole\"},\n {\"box_2d\": [528, 788, 560, 830], \"label\": \"bullet hole\"}\n]\n```", "correct": false, "input_tokens": 1226, "output_tokens": 2892, "elapsed_seconds": 24.352685541962273, "metadata": {"match_method": "map", "num_predictions": 30, "num_ground_truth": 30, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5964796543121338, "attempts": 1, "retries": 0, "total_seconds": 24.3643}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 80, "image": "AF6880-9_2025_NCPT-128_JPG_jpg.rf.58feab8edece278692e9ee124939da54.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [218, 196, 297, 224], \"label\": \"potato\"},\n {\"box_2d\": [436, 193, 505, 222], \"label\": \"potato\"},\n {\"box_2d\": [505, 195, 576, 225], \"label\": \"potato\"},\n {\"box_2d\": [573, 189, 643, 222], \"label\": \"potato\"},\n {\"box_2d\": [645, 184, 733, 224], \"label\": \"potato\"},\n {\"box_2d\": [729, 190, 845, 234], \"label\": \"potato\"},\n {\"box_2d\": [31, 249, 87, 268], \"label\": \"potato\"},\n {\"box_2d\": [264, 242, 351, 267], \"label\": \"potato\"},\n {\"box_2d\": [415, 232, 517, 272], \"label\": \"potato\"},\n {\"box_2d\": [571, 228, 653, 268], \"label\": \"potato\"},\n {\"box_2d\": [906, 223, 1000, 267], \"label\": \"potato\"},\n {\"box_2d\": [151, 283, 242, 317], \"label\": \"potato\"},\n {\"box_2d\": [302, 279, 381, 310], \"label\": \"potato\"},\n {\"box_2d\": [379, 274, 469, 316], \"label\": \"potato\"},\n {\"box_2d\": [493, 273, 586, 311], \"label\": \"potato\"},\n {\"box_2d\": [583, 281, 640, 308], \"label\": \"potato\"},\n {\"box_2d\": [638, 273, 725, 311], \"label\": \"potato\"},\n {\"box_2d\": [854, 271, 972, 317], \"label\": \"potato\"},\n {\"box_2d\": [6, 321, 93, 360], \"label\": \"potato\"},\n {\"box_2d\": [91, 324, 171, 357], \"label\": \"potato\"},\n {\"box_2d\": [169, 325, 241, 357], \"label\": \"potato\"},\n {\"box_2d\": [240, 327, 336, 361], \"label\": \"potato\"},\n {\"box_2d\": [334, 310, 456, 359], \"label\": \"potato\"},\n {\"box_2d\": [503, 315, 596, 360], \"label\": \"potato\"},\n {\"box_2d\": [604, 316, 720, 364], \"label\": \"potato\"},\n {\"box_2d\": [715, 316, 795, 352], \"label\": \"potato\"},\n {\"box_2d\": [793, 320, 904, 363], \"label\": \"potato\"},\n {\"box_2d\": [909, 321, 987, 352], \"label\": \"potato\"},\n {\"box_2d\": [27, 377, 83, 401], \"label\": \"potato\"},\n {\"box_2d\": [80, 367, 172, 406], \"label\": \"potato\"},\n {\"box_2d\": [169, 356, 296, 407], \"label\": \"potato\"},\n {\"box_2d\": [318, 358, 423, 406], \"label\": \"potato\"},\n {\"box_2d\": [419, 351, 527, 403], \"label\": \"potato\"},\n {\"box_2d\": [527, 366, 612, 403], \"label\": \"potato\"},\n {\"box_2d\": [729, 364, 842, 400], \"label\": \"potato\"},\n {\"box_2d\": [835, 368, 900, 391], \"label\": \"potato\"},\n {\"box_2d\": [8, 424, 39, 442], \"label\": \"potato\"},\n {\"box_2d\": [31, 408, 152, 456], \"label\": \"potato\"},\n {\"box_2d\": [153, 407, 263, 447], \"label\": \"potato\"},\n {\"box_2d\": [279, 419, 318, 439], \"label\": \"potato\"},\n {\"box_2d\": [313, 409, 406, 445], \"label\": \"potato\"},\n {\"box_2d\": [442, 407, 552, 453], \"label\": \"potato\"},\n {\"box_2d\": [666, 404, 784, 449], \"label\": \"potato\"},\n {\"box_2d\": [780, 409, 844, 437], \"label\": \"potato\"},\n {\"box_2d\": [841, 409, 928, 441], \"label\": \"potato\"},\n {\"box_2d\": [71, 466, 113, 487], \"label\": \"potato\"},\n {\"box_2d\": [108, 455, 200, 490], \"label\": \"potato\"},\n {\"box_2d\": [266, 450, 366, 492], \"label\": \"potato\"},\n {\"box_2d\": [407, 447, 509, 491], \"label\": \"potato\"},\n {\"box_2d\": [506, 451, 582, 488], \"label\": \"potato\"},\n {\"box_2d\": [579, 450, 688, 495], \"label\": \"potato\"},\n {\"box_2d\": [686, 447, 791, 490], \"label\": \"potato\"},\n {\"box_2d\": [825, 446, 924, 486], \"label\": \"potato\"},\n {\"box_2d\": [932, 451, 1000, 485], \"label\": \"potato\"},\n {\"box_2d\": [39, 503, 124, 538], \"label\": \"potato\"},\n {\"box_2d\": [122, 499, 217, 541], \"label\": \"potato\"},\n {\"box_2d\": [257, 502, 344, 539], \"label\": \"potato\"},\n {\"box_2d\": [363, 495, 467, 535], \"label\": \"potato\"},\n {\"box_2d\": [467, 499, 555, 533], \"label\": \"potato\"},\n {\"box_2d\": [559, 496, 642, 528], \"label\": \"potato\"},\n {\"box_2d\": [842, 485, 951, 532], \"label\": \"potato\"},\n {\"box_2d\": [0, 539, 113, 591], \"label\": \"potato\"},\n {\"box_2d\": [111, 542, 220, 591], \"label\": \"potato\"},\n {\"box_2d\": [213, 548, 290, 578], \"label\": \"potato\"},\n {\"box_2d\": [288, 546, 374, 577], \"label\": \"potato\"},\n {\"box_2d\": [391, 541, 494, 578], \"label\": \"potato\"},\n {\"box_2d\": [497, 532, 615, 575], \"label\": \"potato\"},\n {\"box_2d\": [688, 539, 797, 583], \"label\": \"potato\"},\n {\"box_2d\": [3, 589, 111, 634], \"label\": \"potato\"},\n {\"box_2d\": [123, 588, 221, 631], \"label\": \"potato\"},\n {\"box_2d\": [400, 588, 505, 624], \"label\": \"potato\"},\n {\"box_2d\": [886, 583, 970, 613], \"label\": \"potato\"},\n {\"box_2d\": [39, 630, 138, 669], \"label\": \"potato\"},\n {\"box_2d\": [493, 626, 600, 661], \"label\": \"potato\"},\n {\"box_2d\": [608, 630, 715, 665], \"label\": \"potato\"},\n {\"box_2d\": [217, 670, 332, 717], \"label\": \"potato\"},\n {\"box_2d\": [511, 679, 572, 703], \"label\": \"potato\"},\n {\"box_2d\": [774, 675, 837, 698], \"label\": \"potato\"},\n {\"box_2d\": [94, 722, 158, 750], \"label\": \"potato\"},\n {\"box_2d\": [210, 720, 304, 756], \"label\": \"potato\"},\n {\"box_2d\": [479, 707, 581, 747], \"label\": \"potato\"},\n {\"box_2d\": [117, 760, 236, 811], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 5705, "elapsed_seconds": 54.051095749950036, "metadata": {"match_method": "map", "num_predictions": 82, "num_ground_truth": 82, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 54.5312}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 81, "image": "GP010253_JPG_jpg.rf.617173565602dbb2684e6af5ddab9032.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [51, 539, 179, 871], \"label\": \"carrot\"},\n {\"box_2d\": [143, 559, 206, 855], \"label\": \"carrot\"},\n {\"box_2d\": [156, 403, 270, 695], \"label\": \"carrot\"},\n {\"box_2d\": [182, 412, 304, 709], \"label\": \"carrot\"},\n {\"box_2d\": [177, 355, 358, 495], \"label\": \"carrot\"},\n {\"box_2d\": [185, 396, 333, 513], \"label\": \"carrot\"},\n {\"box_2d\": [279, 383, 467, 571], \"label\": \"carrot\"},\n {\"box_2d\": [194, 725, 294, 862], \"label\": \"carrot\"},\n {\"box_2d\": [283, 509, 405, 774], \"label\": \"carrot\"},\n {\"box_2d\": [304, 486, 463, 790], \"label\": \"carrot\"},\n {\"box_2d\": [312, 608, 439, 799], \"label\": \"carrot\"},\n {\"box_2d\": [448, 307, 637, 369], \"label\": \"carrot\"},\n {\"box_2d\": [484, 349, 558, 560], \"label\": \"carrot\"},\n {\"box_2d\": [486, 429, 667, 526], \"label\": \"carrot\"},\n {\"box_2d\": [519, 437, 767, 496], \"label\": \"carrot\"},\n {\"box_2d\": [568, 522, 791, 572], \"label\": \"carrot\"},\n {\"box_2d\": [457, 543, 738, 625], \"label\": \"carrot\"},\n {\"box_2d\": [559, 613, 813, 655], \"label\": \"carrot\"},\n {\"box_2d\": [635, 626, 840, 716], \"label\": \"carrot\"},\n {\"box_2d\": [549, 690, 813, 756], \"label\": \"carrot\"},\n {\"box_2d\": [415, 726, 645, 800], \"label\": \"carrot\"},\n {\"box_2d\": [727, 696, 886, 869], \"label\": \"carrot\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 2904, "elapsed_seconds": 23.018049666890875, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 23.0443}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 82, "image": "1704195139272_jpg.rf.6a6621507dbbf3a3fbb417d17569c709.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [85, 661, 126, 709], \"label\": \"lentil grain\"},\n {\"box_2d\": [216, 344, 258, 385], \"label\": \"lentil grain\"},\n {\"box_2d\": [219, 567, 265, 616], \"label\": \"lentil grain\"},\n {\"box_2d\": [393, 378, 434, 421], \"label\": \"lentil grain\"},\n {\"box_2d\": [410, 561, 449, 608], \"label\": \"lentil grain\"},\n {\"box_2d\": [409, 617, 446, 662], \"label\": \"lentil grain\"},\n {\"box_2d\": [542, 421, 581, 463], \"label\": \"lentil grain\"},\n {\"box_2d\": [671, 610, 712, 656], \"label\": \"lentil grain\"},\n {\"box_2d\": [737, 388, 777, 430], \"label\": \"lentil grain\"},\n {\"box_2d\": [743, 728, 786, 778], \"label\": \"lentil grain\"},\n {\"box_2d\": [901, 402, 943, 447], \"label\": \"lentil grain\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 1132, "elapsed_seconds": 13.373768458957784, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 13.3847}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 83, "image": "preannot1_326_png.rf.9e036dcc9355b37dec6ff1b3aff71d0b.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [66, 619, 77, 638], \"label\": \"tire spike normal\"},\n {\"box_2d\": [106, 356, 118, 376], \"label\": \"tire spike normal\"},\n {\"box_2d\": [142, 326, 155, 347], \"label\": \"tire spike normal\"},\n {\"box_2d\": [167, 542, 181, 563], \"label\": \"tire spike normal\"},\n {\"box_2d\": [183, 616, 198, 639], \"label\": \"tire spike normal\"},\n {\"box_2d\": [212, 438, 226, 459], \"label\": \"tire spike normal\"},\n {\"box_2d\": [224, 665, 241, 689], \"label\": \"tire spike normal\"},\n {\"box_2d\": [229, 360, 244, 383], \"label\": \"tire spike normal\"},\n {\"box_2d\": [271, 313, 287, 336], \"label\": \"tire spike normal\"},\n {\"box_2d\": [278, 617, 295, 642], \"label\": \"tire spike normal\"},\n {\"box_2d\": [323, 657, 340, 682], \"label\": \"tire spike normal\"},\n {\"box_2d\": [329, 353, 347, 378], \"label\": \"tire spike normal\"},\n {\"box_2d\": [385, 631, 403, 658], \"label\": \"tire spike normal\"},\n {\"box_2d\": [425, 434, 443, 461], \"label\": \"tire spike normal\"},\n {\"box_2d\": [437, 326, 455, 352], \"label\": \"tire spike normal\"},\n {\"box_2d\": [491, 324, 509, 349], \"label\": \"tire spike normal\"},\n {\"box_2d\": [505, 622, 522, 647], \"label\": \"tire spike normal\"},\n {\"box_2d\": [556, 363, 574, 390], \"label\": \"tire spike normal\"},\n {\"box_2d\": [597, 549, 616, 575], \"label\": \"tire spike normal\"},\n {\"box_2d\": [608, 328, 626, 354], \"label\": \"tire spike normal\"},\n {\"box_2d\": [610, 640, 628, 667], \"label\": \"tire spike normal\"},\n {\"box_2d\": [661, 675, 680, 701], \"label\": \"tire spike normal\"},\n {\"box_2d\": [709, 424, 728, 450], \"label\": \"tire spike normal\"},\n {\"box_2d\": [723, 646, 742, 673], \"label\": \"tire spike normal\"},\n {\"box_2d\": [736, 367, 753, 392], \"label\": \"tire spike normal\"},\n {\"box_2d\": [774, 672, 792, 698], \"label\": \"tire spike normal\"},\n {\"box_2d\": [775, 315, 790, 340], \"label\": \"tire spike normal\"},\n {\"box_2d\": [832, 626, 847, 651], \"label\": \"tire spike normal\"},\n {\"box_2d\": [861, 449, 875, 471], \"label\": \"tire spike normal\"},\n {\"box_2d\": [874, 380, 887, 402], \"label\": \"tire spike normal\"}\n]\n```", "correct": false, "input_tokens": 1202, "output_tokens": 2921, "elapsed_seconds": 27.024769500014372, "metadata": {"match_method": "map", "num_predictions": 30, "num_ground_truth": 42, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7128713130950928, "attempts": 1, "retries": 0, "total_seconds": 27.125}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 84, "image": "fall-detection_cameraOne-blue-before_mp4-10_jpg.rf.e26a811f1502cc342db7badfe48642d4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [581, 550, 728, 728], \"label\": \"fallen person\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 225, "elapsed_seconds": 4.96853412501514, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 4.9853}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 85, "image": "IMG_3898_JPG.rf.7efec82c7f803d0db60f9543524df2d2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [329, 79, 422, 223], \"label\": \"100 poker chip\"},\n {\"box_2d\": [306, 221, 396, 360], \"label\": \"500 poker chip\"},\n {\"box_2d\": [362, 313, 458, 458], \"label\": \"10 poker chip\"},\n {\"box_2d\": [379, 454, 478, 602], \"label\": \"5 poker chip\"},\n {\"box_2d\": [302, 609, 394, 755], \"label\": \"100 poker chip\"},\n {\"box_2d\": [395, 603, 493, 755], \"label\": \"500 poker chip\"},\n {\"box_2d\": [354, 734, 451, 885], \"label\": \"100 poker chip\"},\n {\"box_2d\": [413, 144, 515, 297], \"label\": \"50 poker chip\"},\n {\"box_2d\": [485, 236, 595, 395], \"label\": \"20 poker chip\"},\n {\"box_2d\": [466, 391, 574, 546], \"label\": \"50 poker chip\"},\n {\"box_2d\": [551, 474, 672, 639], \"label\": \"50 poker chip\"},\n {\"box_2d\": [492, 606, 605, 769], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [594, 210, 720, 381], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [640, 359, 773, 535], \"label\": \"10 poker chip\"},\n {\"box_2d\": [751, 445, 902, 634], \"label\": \"5 poker chip\"},\n {\"box_2d\": [681, 597, 819, 780], \"label\": \"10 poker chip\"},\n {\"box_2d\": [587, 703, 715, 878], \"label\": \"10000 poker chip\"}\n]\n```", "correct": true, "input_tokens": 1252, "output_tokens": 2175, "elapsed_seconds": 23.215155457961373, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 18, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9579207897186279, "attempts": 1, "retries": 0, "total_seconds": 23.7996}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 86, "image": "2024-12-05T02-00-59-875Z-1008_jpg.rf.e6de2a9a15084a14389fc0bcc250e3a1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [311, 460, 370, 496], \"label\": \"screw\"},\n {\"box_2d\": [640, 933, 698, 976], \"label\": \"screw\"},\n {\"box_2d\": [745, 794, 805, 836], \"label\": \"screw\"},\n {\"box_2d\": [645, 827, 800, 942], \"label\": \"wire hole\"}\n]\n```", "correct": false, "input_tokens": 1203, "output_tokens": 1097, "elapsed_seconds": 15.340462333988398, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 6, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6353134512901306, "attempts": 1, "retries": 0, "total_seconds": 15.4973}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 87, "image": "IMG_20220316_165535_jpg.rf.b4968ac9965090df369ee94c30225977.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [631, 108, 975, 428], \"label\": \"ten of diamonds\"},\n {\"box_2d\": [381, 174, 710, 480], \"label\": \"king of diamonds\"},\n {\"box_2d\": [419, 471, 822, 727], \"label\": \"queen of diamonds\"},\n {\"box_2d\": [108, 309, 476, 592], \"label\": \"nine of diamonds\"},\n {\"box_2d\": [38, 539, 382, 797], \"label\": \"jack of diamonds\"}\n]\n```", "correct": true, "input_tokens": 1218, "output_tokens": 634, "elapsed_seconds": 7.551091791014187, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 7.5762}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 88, "image": "F64FE944-4E23-4E33-ABE4-44B45EEE879E_jpg.rf.4a9fc6077618a5882fd446c7da6c295e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [138, 296, 249, 353], \"label\": \"pill\"},\n {\"box_2d\": [175, 161, 281, 237], \"label\": \"pill\"},\n {\"box_2d\": [185, 236, 290, 315], \"label\": \"pill\"},\n {\"box_2d\": [182, 390, 285, 475], \"label\": \"pill\"},\n {\"box_2d\": [169, 525, 277, 598], \"label\": \"pill\"},\n {\"box_2d\": [243, 325, 324, 429], \"label\": \"pill\"},\n {\"box_2d\": [286, 152, 394, 210], \"label\": \"pill\"},\n {\"box_2d\": [275, 207, 384, 270], \"label\": \"pill\"},\n {\"box_2d\": [288, 288, 381, 384], \"label\": \"pill\"},\n {\"box_2d\": [284, 416, 390, 490], \"label\": \"pill\"},\n {\"box_2d\": [258, 486, 369, 548], \"label\": \"pill\"},\n {\"box_2d\": [299, 692, 387, 795], \"label\": \"pill\"},\n {\"box_2d\": [348, 239, 448, 323], \"label\": \"pill\"},\n {\"box_2d\": [379, 187, 486, 252], \"label\": \"pill\"},\n {\"box_2d\": [386, 274, 480, 363], \"label\": \"pill\"},\n {\"box_2d\": [359, 369, 459, 452], \"label\": \"pill\"},\n {\"box_2d\": [355, 559, 464, 620], \"label\": \"pill\"},\n {\"box_2d\": [363, 620, 471, 681], \"label\": \"pill\"},\n {\"box_2d\": [369, 840, 479, 901], \"label\": \"pill\"},\n {\"box_2d\": [432, 128, 522, 222], \"label\": \"pill\"},\n {\"box_2d\": [476, 256, 583, 315], \"label\": \"pill\"},\n {\"box_2d\": [476, 310, 582, 370], \"label\": \"pill\"},\n {\"box_2d\": [455, 376, 551, 461], \"label\": \"pill\"},\n {\"box_2d\": [487, 466, 555, 570], \"label\": \"pill\"},\n {\"box_2d\": [445, 503, 515, 608], \"label\": \"pill\"},\n {\"box_2d\": [430, 667, 517, 767], \"label\": \"pill\"},\n {\"box_2d\": [512, 127, 591, 229], \"label\": \"pill\"},\n {\"box_2d\": [506, 634, 613, 697], \"label\": \"pill\"},\n {\"box_2d\": [555, 696, 613, 807], \"label\": \"pill\"},\n {\"box_2d\": [531, 522, 616, 619], \"label\": \"pill\"},\n {\"box_2d\": [549, 390, 613, 497], \"label\": \"pill\"},\n {\"box_2d\": [588, 179, 672, 276], \"label\": \"pill\"},\n {\"box_2d\": [591, 290, 642, 397], \"label\": \"pill\"},\n {\"box_2d\": [637, 271, 675, 380], \"label\": \"pill\"},\n {\"box_2d\": [597, 459, 675, 559], \"label\": \"pill\"},\n {\"box_2d\": [576, 591, 670, 682], \"label\": \"pill\"},\n {\"box_2d\": [624, 535, 720, 621], \"label\": \"pill\"},\n {\"box_2d\": [629, 423, 717, 518], \"label\": \"pill\"},\n {\"box_2d\": [663, 358, 749, 455], \"label\": \"pill\"},\n {\"box_2d\": [679, 217, 747, 322], \"label\": \"pill\"},\n {\"box_2d\": [682, 161, 780, 246], \"label\": \"pill\"},\n {\"box_2d\": [734, 94, 797, 198], \"label\": \"pill\"},\n {\"box_2d\": [724, 298, 788, 405], \"label\": \"pill\"},\n {\"box_2d\": [781, 412, 839, 519], \"label\": \"pill\"},\n {\"box_2d\": [723, 466, 809, 565], \"label\": \"pill\"},\n {\"box_2d\": [716, 542, 809, 636], \"label\": \"pill\"},\n {\"box_2d\": [696, 631, 792, 722], \"label\": \"pill\"},\n {\"box_2d\": [691, 693, 783, 791], \"label\": \"pill\"},\n {\"box_2d\": [678, 755, 735, 867], \"label\": \"pill\"},\n {\"box_2d\": [797, 738, 893, 830], \"label\": \"pill\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 3337, "elapsed_seconds": 29.040639166953042, "metadata": {"match_method": "map", "num_predictions": 50, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 29.4576}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 89, "image": "20210326_152417_jpg.rf.49d888684dcb029777f91a35c5731fda.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [200, 125, 397, 323], \"label\": \"10 euro cent coin\"},\n {\"box_2d\": [103, 366, 326, 591], \"label\": \"20 euro cent coin\"},\n {\"box_2d\": [203, 646, 444, 889], \"label\": \"50 euro cent coin\"},\n {\"box_2d\": [420, 78, 627, 291], \"label\": \"5 euro cent coin\"},\n {\"box_2d\": [378, 396, 609, 628], \"label\": \"1 euro coin\"},\n {\"box_2d\": [515, 676, 674, 838], \"label\": \"1 euro cent coin\"},\n {\"box_2d\": [654, 235, 903, 490], \"label\": \"2 euro coin\"},\n {\"box_2d\": [723, 575, 905, 761], \"label\": \"2 euro cent coin\"}\n]\n```", "correct": true, "input_tokens": 1272, "output_tokens": 1205, "elapsed_seconds": 12.59318854205776, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 12.6163}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 90, "image": "egg-detection_image33_jpg.rf.842de73d6f921d804acd1ea8a1f28413.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [468, 427, 553, 491], \"label\": \"egg\"},\n {\"box_2d\": [746, 693, 822, 753], \"label\": \"egg\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 290, "elapsed_seconds": 6.471505000023171, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 6.577}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 91, "image": "uav20221018_ixfZ_3857_215_png.rf.8020e1329eefd7e68bf3f7c0394e8bdf.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [8, 687, 65, 730], \"label\": \"banana tree\"},\n {\"box_2d\": [49, 746, 98, 791], \"label\": \"banana tree\"},\n {\"box_2d\": [83, 687, 134, 730], \"label\": \"banana tree\"},\n {\"box_2d\": [118, 749, 173, 789], \"label\": \"banana tree\"},\n {\"box_2d\": [159, 694, 211, 744], \"label\": \"banana tree\"},\n {\"box_2d\": [189, 752, 240, 795], \"label\": \"banana tree\"},\n {\"box_2d\": [228, 689, 281, 736], \"label\": \"banana tree\"},\n {\"box_2d\": [262, 758, 312, 792], \"label\": \"banana tree\"},\n {\"box_2d\": [299, 696, 349, 748], \"label\": \"banana tree\"},\n {\"box_2d\": [337, 762, 378, 798], \"label\": \"banana tree\"},\n {\"box_2d\": [369, 699, 419, 742], \"label\": \"banana tree\"},\n {\"box_2d\": [403, 763, 450, 804], \"label\": \"banana tree\"},\n {\"box_2d\": [484, 770, 524, 804], \"label\": \"banana tree\"},\n {\"box_2d\": [522, 718, 558, 750], \"label\": \"banana tree\"},\n {\"box_2d\": [551, 773, 594, 809], \"label\": \"banana tree\"},\n {\"box_2d\": [621, 772, 661, 808], \"label\": \"banana tree\"},\n {\"box_2d\": [662, 720, 696, 754], \"label\": \"banana tree\"},\n {\"box_2d\": [690, 778, 735, 814], \"label\": \"banana tree\"},\n {\"box_2d\": [733, 722, 767, 754], \"label\": \"banana tree\"},\n {\"box_2d\": [766, 781, 801, 814], \"label\": \"banana tree\"},\n {\"box_2d\": [792, 720, 839, 766], \"label\": \"banana tree\"},\n {\"box_2d\": [836, 780, 871, 813], \"label\": \"banana tree\"},\n {\"box_2d\": [872, 725, 922, 767], \"label\": \"banana tree\"},\n {\"box_2d\": [907, 786, 945, 821], \"label\": \"banana tree\"},\n {\"box_2d\": [937, 730, 976, 766], \"label\": \"banana tree\"},\n {\"box_2d\": [42, 942, 100, 995], \"label\": \"banana tree\"},\n {\"box_2d\": [113, 947, 168, 995], \"label\": \"banana tree\"},\n {\"box_2d\": [185, 948, 232, 991], \"label\": \"banana tree\"},\n {\"box_2d\": [250, 948, 297, 996], \"label\": \"banana tree\"},\n {\"box_2d\": [318, 949, 369, 998], \"label\": \"banana tree\"},\n {\"box_2d\": [452, 956, 505, 999], \"label\": \"banana tree\"},\n {\"box_2d\": [594, 958, 646, 999], \"label\": \"banana tree\"},\n {\"box_2d\": [667, 966, 709, 999], \"label\": \"banana tree\"},\n {\"box_2d\": [734, 967, 778, 999], \"label\": \"banana tree\"},\n {\"box_2d\": [802, 972, 842, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [877, 975, 916, 1000], \"label\": \"banana tree\"}\n]\n```", "correct": false, "input_tokens": 1226, "output_tokens": 2522, "elapsed_seconds": 24.11666108306963, "metadata": {"match_method": "map", "num_predictions": 36, "num_ground_truth": 41, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7615511417388916, "attempts": 1, "retries": 0, "total_seconds": 24.1926}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 92, "image": "DJI_0151_JPG_jpg.rf.3936c799be65e9829061aeb413261c06.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [477, 342, 681, 406], \"label\": \"excavator\"},\n {\"box_2d\": [0, 631, 495, 711], \"label\": \"tower crane\"},\n {\"box_2d\": [160, 336, 212, 391], \"label\": \"dump truck\"},\n {\"box_2d\": [158, 427, 212, 487], \"label\": \"concrete mixer\"},\n {\"box_2d\": [126, 60, 173, 127], \"label\": \"concrete mixer\"}\n]\n```", "correct": true, "input_tokens": 1245, "output_tokens": 958, "elapsed_seconds": 27.945787583012134, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 28.3143}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 93, "image": "55_jpeg_jpg.rf.004155dfb8cf69dfe8eec1fad7b643e0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [65, 321, 184, 434], \"label\": \"potato\"},\n {\"box_2d\": [64, 912, 178, 999], \"label\": \"potato\"},\n {\"box_2d\": [246, 804, 385, 910], \"label\": \"potato\"},\n {\"box_2d\": [478, 520, 620, 635], \"label\": \"potato\"},\n {\"box_2d\": [478, 647, 580, 748], \"label\": \"potato\"},\n {\"box_2d\": [479, 809, 573, 909], \"label\": \"potato\"},\n {\"box_2d\": [454, 960, 550, 998], \"label\": \"potato\"},\n {\"box_2d\": [692, 350, 848, 433], \"label\": \"potato\"},\n {\"box_2d\": [706, 585, 800, 680], \"label\": \"potato\"},\n {\"box_2d\": [679, 841, 780, 920], \"label\": \"potato\"},\n {\"box_2d\": [713, 0, 798, 98], \"label\": \"potato\"},\n {\"box_2d\": [901, 369, 989, 457], \"label\": \"potato\"},\n {\"box_2d\": [885, 617, 983, 718], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1240, "output_tokens": 1054, "elapsed_seconds": 15.54842337500304, "metadata": {"match_method": "map", "num_predictions": 13, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8118811845779419, "attempts": 1, "retries": 0, "total_seconds": 15.5819}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 94, "image": "2024-12-05T02-01-39-892Z-3009_jpg.rf.22fd37099b783ab1f80e4172f8bb073a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [554, 310, 675, 413], \"label\": \"retaining clip\"},\n {\"box_2d\": [461, 493, 594, 586], \"label\": \"retaining clip\"},\n {\"box_2d\": [369, 669, 487, 767], \"label\": \"retaining clip\"},\n {\"box_2d\": [648, 636, 779, 738], \"label\": \"retaining clip\"}\n]\n```", "correct": true, "input_tokens": 1201, "output_tokens": 694, "elapsed_seconds": 11.096120708039962, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 11.3085}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 95, "image": "IMG_20251126_160341_jpg.rf.90a2111f9611ba9b2da6fb1312d0ef72.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [688, 108, 795, 178], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [689, 206, 791, 277], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [681, 297, 783, 368], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [680, 386, 779, 456], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [647, 490, 938, 563], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [662, 588, 764, 659], \"label\": \"white standard price tag\"},\n {\"box_2d\": [661, 699, 761, 772], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [654, 831, 756, 905], \"label\": \"white standard price tag\"},\n {\"box_2d\": [652, 922, 751, 995], \"label\": \"yellow standard price tag\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 1432, "elapsed_seconds": 15.102236667065881, "metadata": {"match_method": "map", "num_predictions": 9, "num_ground_truth": 10, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8349834680557251, "attempts": 1, "retries": 0, "total_seconds": 15.3554}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 96, "image": "tile_267_jpg.rf.d3e282883cf21b5fa393f473090fd4b9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [38, 315, 281, 501], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [297, 515, 538, 703], \"label\": \"ship in SAR satellite image\"}\n]\n```", "correct": false, "input_tokens": 1229, "output_tokens": 2157, "elapsed_seconds": 25.584580334019847, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5049505233764648, "attempts": 1, "retries": 0, "total_seconds": 25.612}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 97, "image": "IMG_20250815_165441_jpg.rf.4c737e973da64b017b0e386f2b455f62.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [211, 180, 311, 232], \"label\": \"barcode\"},\n {\"box_2d\": [219, 444, 312, 491], \"label\": \"barcode\"},\n {\"box_2d\": [193, 629, 235, 671], \"label\": \"barcode\"},\n {\"box_2d\": [681, 65, 720, 117], \"label\": \"barcode\"},\n {\"box_2d\": [827, 256, 866, 304], \"label\": \"barcode\"},\n {\"box_2d\": [741, 551, 825, 594], \"label\": \"barcode\"},\n {\"box_2d\": [771, 706, 851, 745], \"label\": \"barcode\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 911, "elapsed_seconds": 14.31325000000652, "metadata": {"match_method": "map", "num_predictions": 7, "num_ground_truth": 7, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 14.6016}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 98, "image": "Lego_63_low_jpeg.rf.6dd24c9abacc96bac5fb5a7d9ce3f907.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [48, 198, 136, 294], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [201, 13, 307, 105], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [182, 103, 270, 189], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [99, 427, 206, 530], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [214, 352, 283, 454], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [279, 316, 339, 405], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [59, 670, 152, 777], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [28, 753, 131, 822], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [167, 672, 265, 715], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [173, 710, 251, 761], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [222, 797, 308, 875], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [203, 864, 298, 938], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [294, 581, 396, 651], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [396, 317, 466, 429], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [499, 373, 594, 431], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [471, 538, 571, 610], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [446, 725, 519, 777], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [413, 789, 492, 854], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [459, 835, 534, 916], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [581, 253, 663, 332], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [584, 323, 669, 411], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [621, 44, 726, 143], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [765, 86, 854, 179], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [827, 267, 906, 366], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [674, 414, 766, 511], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [775, 421, 860, 532], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [605, 580, 707, 661], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [713, 588, 749, 683], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [670, 673, 750, 734], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [713, 731, 797, 808], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [680, 779, 728, 873], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [744, 789, 845, 886], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [605, 906, 696, 1000], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [671, 963, 747, 1000], \"label\": \"lego 4x1 brick\"}\n]\n```", "correct": true, "input_tokens": 1244, "output_tokens": 3862, "elapsed_seconds": 30.44455395801924, "metadata": {"match_method": "map", "num_predictions": 34, "num_ground_truth": 34, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9216064214706421, "attempts": 1, "retries": 0, "total_seconds": 30.5183}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 99, "image": "frame_0085_jpg.rf.df2f77641da4fa475877d40e14103949.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [42, 138, 108, 181], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [139, 111, 206, 154], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [260, 129, 329, 175], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [375, 107, 452, 160], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [465, 106, 535, 156], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [591, 83, 673, 137], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [802, 77, 886, 131], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [23, 246, 75, 290], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [131, 229, 198, 270], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [270, 229, 342, 271], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [418, 234, 488, 281], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [678, 227, 767, 273], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [887, 211, 965, 258], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [48, 341, 110, 377], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [158, 344, 221, 381], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [315, 353, 380, 392], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [436, 356, 500, 395], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [527, 339, 597, 386], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [703, 346, 792, 389], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [848, 339, 933, 387], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [229, 428, 307, 469], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [421, 467, 485, 505], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [644, 482, 725, 522], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [863, 472, 920, 515], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [340, 551, 403, 586], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [777, 576, 850, 618], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [180, 608, 235, 642], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [368, 675, 434, 710], \"label\": \"garlic on conveyor\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 2271, "elapsed_seconds": 20.795527415932156, "metadata": {"match_method": "map", "num_predictions": 28, "num_ground_truth": 28, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9476662278175354, "attempts": 1, "retries": 0, "total_seconds": 20.8868}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 100, "image": "basketball-player-detection_boston-celtics-new-york-knicks-game-4-q1-00-05-00-01-0115_png.rf.268163bdbdd382dbeaa9df9d19cf50ae.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [703, 166, 956, 238], \"label\": \"player\"},\n {\"box_2d\": [769, 180, 799, 195], \"label\": \"jersey number\"},\n {\"box_2d\": [723, 295, 880, 329], \"label\": \"referee\"},\n {\"box_2d\": [542, 359, 760, 405], \"label\": \"player\"},\n {\"box_2d\": [585, 369, 614, 378], \"label\": \"jersey number\"},\n {\"box_2d\": [306, 148, 513, 194], \"label\": \"player\"},\n {\"box_2d\": [355, 164, 373, 177], \"label\": \"jersey number\"},\n {\"box_2d\": [324, 108, 463, 159], \"label\": \"player\"},\n {\"box_2d\": [353, 111, 373, 121], \"label\": \"jersey number\"},\n {\"box_2d\": [283, 340, 456, 378], \"label\": \"referee\"},\n {\"box_2d\": [319, 521, 502, 565], \"label\": \"player\"},\n {\"box_2d\": [367, 536, 386, 545], \"label\": \"jersey number\"},\n {\"box_2d\": [347, 545, 533, 611], \"label\": \"player\"},\n {\"box_2d\": [382, 563, 405, 577], \"label\": \"jersey number\"},\n {\"box_2d\": [449, 732, 667, 777], \"label\": \"player\"},\n {\"box_2d\": [504, 745, 524, 759], \"label\": \"jersey number\"},\n {\"box_2d\": [465, 710, 646, 756], \"label\": \"player\"},\n {\"box_2d\": [566, 748, 788, 810], \"label\": \"player\"},\n {\"box_2d\": [614, 761, 643, 770], \"label\": \"jersey number\"},\n {\"box_2d\": [609, 809, 839, 875], \"label\": \"player\"},\n {\"box_2d\": [669, 849, 694, 860], \"label\": \"jersey number\"},\n {\"box_2d\": [295, 712, 319, 752], \"label\": \"basket rim\"}\n]\n```", "correct": false, "input_tokens": 1250, "output_tokens": 2804, "elapsed_seconds": 29.397724083974026, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 25, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.41602492332458496, "attempts": 1, "retries": 0, "total_seconds": 29.4876}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 101, "image": "construction-safety_ppe_0720_jpg.rf.cfd070890ac09790250bebd1b430d69f.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [234, 11, 299, 59], \"label\": \"safety helmet\"},\n {\"box_2d\": [287, 94, 355, 141], \"label\": \"safety helmet\"},\n {\"box_2d\": [204, 182, 270, 230], \"label\": \"safety helmet\"},\n {\"box_2d\": [264, 258, 338, 305], \"label\": \"safety helmet\"},\n {\"box_2d\": [187, 326, 255, 376], \"label\": \"safety helmet\"},\n {\"box_2d\": [207, 420, 275, 467], \"label\": \"safety helmet\"},\n {\"box_2d\": [206, 490, 274, 540], \"label\": \"safety helmet\"},\n {\"box_2d\": [238, 575, 306, 625], \"label\": \"safety helmet\"},\n {\"box_2d\": [192, 677, 263, 728], \"label\": \"safety helmet\"},\n {\"box_2d\": [116, 744, 200, 805], \"label\": \"safety helmet\"},\n {\"box_2d\": [147, 808, 224, 854], \"label\": \"safety helmet\"},\n {\"box_2d\": [177, 838, 264, 899], \"label\": \"safety helmet\"},\n {\"box_2d\": [138, 901, 232, 980], \"label\": \"safety helmet\"},\n {\"box_2d\": [354, 1, 624, 79], \"label\": \"safety vest\"},\n {\"box_2d\": [398, 82, 659, 169], \"label\": \"safety vest\"},\n {\"box_2d\": [315, 167, 597, 255], \"label\": \"safety vest\"},\n {\"box_2d\": [383, 248, 613, 314], \"label\": \"safety vest\"},\n {\"box_2d\": [317, 308, 583, 402], \"label\": \"safety vest\"},\n {\"box_2d\": [321, 402, 595, 488], \"label\": \"safety vest\"},\n {\"box_2d\": [321, 483, 575, 567], \"label\": \"safety vest\"},\n {\"box_2d\": [360, 569, 597, 650], \"label\": \"safety vest\"},\n {\"box_2d\": [328, 661, 603, 746], \"label\": \"safety vest\"},\n {\"box_2d\": [250, 742, 551, 836], \"label\": \"safety vest\"},\n {\"box_2d\": [315, 827, 639, 902], \"label\": \"safety vest\"},\n {\"box_2d\": [302, 886, 669, 999], \"label\": \"safety vest\"},\n {\"box_2d\": [236, 0, 991, 86], \"label\": \"person\"},\n {\"box_2d\": [286, 74, 983, 181], \"label\": \"person\"},\n {\"box_2d\": [206, 157, 984, 275], \"label\": \"person\"},\n {\"box_2d\": [262, 239, 980, 323], \"label\": \"person\"},\n {\"box_2d\": [189, 294, 994, 405], \"label\": \"person\"},\n {\"box_2d\": [209, 393, 983, 495], \"label\": \"person\"},\n {\"box_2d\": [208, 478, 967, 576], \"label\": \"person\"},\n {\"box_2d\": [244, 562, 984, 667], \"label\": \"person\"},\n {\"box_2d\": [193, 654, 989, 756], \"label\": \"person\"},\n {\"box_2d\": [123, 735, 996, 847], \"label\": \"person\"},\n {\"box_2d\": [180, 822, 991, 905], \"label\": \"person\"},\n {\"box_2d\": [138, 874, 994, 1000], \"label\": \"person\"},\n {\"box_2d\": [149, 806, 954, 860], \"label\": \"person\"}\n]\n```", "correct": true, "input_tokens": 1198, "output_tokens": 3271, "elapsed_seconds": 26.991960084065795, "metadata": {"match_method": "map", "num_predictions": 38, "num_ground_truth": 38, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9735973477363586, "attempts": 1, "retries": 0, "total_seconds": 27.0149}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 102, "image": "fabric-defect_1213_jpg.rf.f4cb351d5d6f226d23075b9a6a549416.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [467, 725, 591, 778], \"label\": \"fabric cut\"},\n {\"box_2d\": [578, 412, 619, 444], \"label\": \"fabric cut\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 758, "elapsed_seconds": 10.147106500109658, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 10.1625}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 103, "image": "indir-2-_jpeg_jpg.rf.cabde9f9d89b7527f52820f6df64e1b7.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [363, 247, 381, 583], \"label\": \"dimension annotation\"},\n {\"box_2d\": [415, 89, 519, 205], \"label\": \"dimension annotation\"},\n {\"box_2d\": [433, 304, 515, 449], \"label\": \"dimension annotation\"},\n {\"box_2d\": [530, 68, 575, 137], \"label\": \"dimension annotation\"},\n {\"box_2d\": [423, 654, 575, 681], \"label\": \"dimension annotation\"},\n {\"box_2d\": [615, 181, 634, 289], \"label\": \"dimension annotation\"},\n {\"box_2d\": [615, 415, 634, 516], \"label\": \"dimension annotation\"},\n {\"box_2d\": [615, 515, 634, 583], \"label\": \"dimension annotation\"},\n {\"box_2d\": [618, 753, 642, 890], \"label\": \"dimension annotation\"},\n {\"box_2d\": [678, 55, 707, 81], \"label\": \"dimension annotation\"},\n {\"box_2d\": [706, 55, 845, 81], \"label\": \"dimension annotation\"},\n {\"box_2d\": [759, 248, 777, 344], \"label\": \"dimension annotation\"},\n {\"box_2d\": [814, 621, 845, 648], \"label\": \"dimension annotation\"},\n {\"box_2d\": [753, 662, 802, 751], \"label\": \"dimension annotation\"},\n {\"box_2d\": [914, 206, 984, 976], \"label\": \"technical drawing table\"},\n {\"box_2d\": [16, 23, 49, 311], \"label\": \"technical drawing table\"}\n]\n```", "correct": false, "input_tokens": 1233, "output_tokens": 2966, "elapsed_seconds": 27.467376500018872, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5028287768363953, "attempts": 1, "retries": 0, "total_seconds": 27.4759}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 104, "image": "wood-log-detection_019_png_jpg.rf.0c10ed1caffd0ca9926a3f2f5de3a24a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [147, 52, 217, 148], \"label\": \"log cross-section\"},\n {\"box_2d\": [222, 97, 273, 162], \"label\": \"log cross-section\"},\n {\"box_2d\": [201, 162, 266, 255], \"label\": \"log cross-section\"},\n {\"box_2d\": [186, 236, 234, 280], \"label\": \"log cross-section\"},\n {\"box_2d\": [164, 284, 214, 347], \"label\": \"log cross-section\"},\n {\"box_2d\": [208, 284, 238, 325], \"label\": \"log cross-section\"},\n {\"box_2d\": [163, 359, 206, 409], \"label\": \"log cross-section\"},\n {\"box_2d\": [167, 403, 209, 456], \"label\": \"log cross-section\"},\n {\"box_2d\": [211, 327, 289, 422], \"label\": \"log cross-section\"},\n {\"box_2d\": [164, 497, 233, 581], \"label\": \"log cross-section\"},\n {\"box_2d\": [234, 419, 326, 553], \"label\": \"log cross-section\"},\n {\"box_2d\": [228, 544, 299, 636], \"label\": \"log cross-section\"},\n {\"box_2d\": [224, 669, 273, 733], \"label\": \"log cross-section\"},\n {\"box_2d\": [222, 733, 280, 804], \"label\": \"log cross-section\"},\n {\"box_2d\": [211, 804, 296, 896], \"label\": \"log cross-section\"},\n {\"box_2d\": [264, 53, 315, 121], \"label\": \"log cross-section\"},\n {\"box_2d\": [313, 67, 362, 134], \"label\": \"log cross-section\"},\n {\"box_2d\": [331, 131, 370, 179], \"label\": \"log cross-section\"},\n {\"box_2d\": [286, 198, 366, 306], \"label\": \"log cross-section\"},\n {\"box_2d\": [251, 280, 292, 330], \"label\": \"log cross-section\"},\n {\"box_2d\": [346, 240, 405, 318], \"label\": \"log cross-section\"},\n {\"box_2d\": [321, 322, 401, 432], \"label\": \"log cross-section\"},\n {\"box_2d\": [354, 424, 401, 493], \"label\": \"log cross-section\"},\n {\"box_2d\": [301, 536, 374, 622], \"label\": \"log cross-section\"},\n {\"box_2d\": [270, 655, 339, 739], \"label\": \"log cross-section\"},\n {\"box_2d\": [278, 749, 316, 796], \"label\": \"log cross-section\"},\n {\"box_2d\": [301, 776, 361, 849], \"label\": \"log cross-section\"},\n {\"box_2d\": [322, 700, 389, 788], \"label\": \"log cross-section\"},\n {\"box_2d\": [349, 603, 431, 703], \"label\": \"log cross-section\"},\n {\"box_2d\": [369, 499, 443, 587], \"label\": \"log cross-section\"},\n {\"box_2d\": [395, 427, 431, 482], \"label\": \"log cross-section\"},\n {\"box_2d\": [391, 91, 450, 169], \"label\": \"log cross-section\"},\n {\"box_2d\": [454, 87, 495, 146], \"label\": \"log cross-section\"},\n {\"box_2d\": [435, 151, 530, 273], \"label\": \"log cross-section\"},\n {\"box_2d\": [423, 272, 474, 336], \"label\": \"log cross-section\"},\n {\"box_2d\": [429, 413, 469, 468], \"label\": \"log cross-section\"},\n {\"box_2d\": [457, 353, 527, 443], \"label\": \"log cross-section\"},\n {\"box_2d\": [454, 449, 517, 538], \"label\": \"log cross-section\"},\n {\"box_2d\": [461, 546, 521, 622], \"label\": \"log cross-section\"},\n {\"box_2d\": [434, 623, 489, 691], \"label\": \"log cross-section\"},\n {\"box_2d\": [477, 673, 517, 725], \"label\": \"log cross-section\"},\n {\"box_2d\": [455, 720, 513, 793], \"label\": \"log cross-section\"},\n {\"box_2d\": [438, 789, 473, 833], \"label\": \"log cross-section\"},\n {\"box_2d\": [366, 803, 405, 855], \"label\": \"log cross-section\"},\n {\"box_2d\": [406, 900, 444, 947], \"label\": \"log cross-section\"},\n {\"box_2d\": [468, 833, 501, 874], \"label\": \"log cross-section\"},\n {\"box_2d\": [494, 71, 560, 153], \"label\": \"log cross-section\"},\n {\"box_2d\": [530, 161, 563, 206], \"label\": \"log cross-section\"},\n {\"box_2d\": [481, 267, 523, 321], \"label\": \"log cross-section\"},\n {\"box_2d\": [513, 212, 583, 306], \"label\": \"log cross-section\"},\n {\"box_2d\": [504, 308, 567, 386], \"label\": \"log cross-section\"},\n {\"box_2d\": [509, 483, 579, 578], \"label\": \"log cross-section\"},\n {\"box_2d\": [512, 637, 557, 686], \"label\": \"log cross-section\"},\n {\"box_2d\": [511, 715, 557, 775], \"label\": \"log cross-section\"},\n {\"box_2d\": [511, 772, 556, 821], \"label\": \"log cross-section\"},\n {\"box_2d\": [523, 826, 554, 863], \"label\": \"log cross-section\"},\n {\"box_2d\": [502, 855, 538, 896], \"label\": \"log cross-section\"},\n {\"box_2d\": [558, 79, 616, 155], \"label\": \"log cross-section\"},\n {\"box_2d\": [558, 169, 603, 223], \"label\": \"log cross-section\"},\n {\"box_2d\": [600, 170, 640, 224], \"label\": \"log cross-section\"},\n {\"box_2d\": [589, 223, 647, 295], \"label\": \"log cross-section\"},\n {\"box_2d\": [575, 391, 626, 477], \"label\": \"log cross-section\"},\n {\"box_2d\": [576, 484, 627, 573], \"label\": \"log cross-section\"},\n {\"box_2d\": [566, 571, 608, 614], \"label\": \"log cross-section\"},\n {\"box_2d\": [545, 608, 599, 678], \"label\": \"log cross-section\"},\n {\"box_2d\": [556, 690, 615, 772], \"label\": \"log cross-section\"},\n {\"box_2d\": [554, 776, 604, 845], \"label\": \"log cross-section\"},\n {\"box_2d\": [582, 842, 619, 884], \"label\": \"log cross-section\"},\n {\"box_2d\": [624, 65, 721, 197], \"label\": \"log cross-section\"},\n {\"box_2d\": [640, 202, 723, 321], \"label\": \"log cross-section\"},\n {\"box_2d\": [690, 298, 725, 339], \"label\": \"log cross-section\"},\n {\"box_2d\": [618, 322, 727, 453], \"label\": \"log cross-section\"},\n {\"box_2d\": [629, 466, 670, 513], \"label\": \"log cross-section\"},\n {\"box_2d\": [622, 514, 675, 584], \"label\": \"log cross-section\"},\n {\"box_2d\": [609, 567, 639, 621], \"label\": \"log cross-section\"},\n {\"box_2d\": [631, 583, 678, 642], \"label\": \"log cross-section\"},\n {\"box_2d\": [670, 465, 740, 555], \"label\": \"log cross-section\"},\n {\"box_2d\": [705, 591, 747, 640], \"label\": \"log cross-section\"},\n {\"box_2d\": [701, 639, 746, 688], \"label\": \"log cross-section\"},\n {\"box_2d\": [612, 671, 661, 731], \"label\": \"log cross-section\"},\n {\"box_2d\": [613, 731, 667, 797], \"label\": \"log cross-section\"},\n {\"box_2d\": [603, 815, 641, 855], \"label\": \"log cross-section\"},\n {\"box_2d\": [624, 830, 673, 888], \"label\": \"log cross-section\"},\n {\"box_2d\": [686, 718, 722, 760], \"label\": \"log cross-section\"},\n {\"box_2d\": [712, 790, 749, 833], \"label\": \"log cross-section\"},\n {\"box_2d\": [687, 834, 721, 882], \"label\": \"log cross-section\"}\n]\n```", "correct": true, "input_tokens": 1228, "output_tokens": 5599, "elapsed_seconds": 45.067960166954435, "metadata": {"match_method": "map", "num_predictions": 86, "num_ground_truth": 91, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9059904217720032, "attempts": 1, "retries": 0, "total_seconds": 45.0961}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 105, "image": "170571v_JPG_jpg.rf.044f16a58ffbf60b2d7a3d41cd3a4fdf.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [441, 463, 513, 672], \"label\": \"cracked insulator\"},\n {\"box_2d\": [498, 465, 571, 676], \"label\": \"cracked insulator\"},\n {\"box_2d\": [713, 496, 779, 681], \"label\": \"cracked insulator\"},\n {\"box_2d\": [761, 487, 839, 686], \"label\": \"cracked insulator\"}\n]\n```", "correct": true, "input_tokens": 1244, "output_tokens": 2855, "elapsed_seconds": 53.581260750070214, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.801980197429657, "attempts": 1, "retries": 0, "total_seconds": 53.9328}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 106, "image": "IMG_20260128_081412_jpg.rf.4a044ae2d306c8ba7e741477be920225.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [27, 0, 118, 49], \"label\": \"white standard price tag\"},\n {\"box_2d\": [32, 70, 124, 134], \"label\": \"white standard price tag\"},\n {\"box_2d\": [36, 146, 123, 212], \"label\": \"white standard price tag\"},\n {\"box_2d\": [46, 240, 128, 304], \"label\": \"white standard price tag\"},\n {\"box_2d\": [49, 340, 131, 405], \"label\": \"white standard price tag\"},\n {\"box_2d\": [49, 417, 133, 483], \"label\": \"white standard price tag\"},\n {\"box_2d\": [64, 529, 145, 591], \"label\": \"white standard price tag\"},\n {\"box_2d\": [63, 667, 145, 730], \"label\": \"white standard price tag\"},\n {\"box_2d\": [72, 769, 155, 830], \"label\": \"white standard price tag\"},\n {\"box_2d\": [85, 850, 162, 909], \"label\": \"white standard price tag\"},\n {\"box_2d\": [75, 926, 155, 987], \"label\": \"white standard price tag\"},\n {\"box_2d\": [656, 49, 735, 110], \"label\": \"white standard price tag\"},\n {\"box_2d\": [680, 218, 760, 279], \"label\": \"white standard price tag\"},\n {\"box_2d\": [686, 326, 765, 387], \"label\": \"white standard price tag\"},\n {\"box_2d\": [672, 421, 925, 487], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [676, 560, 932, 626], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [696, 648, 777, 707], \"label\": \"white standard price tag\"},\n {\"box_2d\": [699, 725, 778, 783], \"label\": \"white standard price tag\"},\n {\"box_2d\": [703, 821, 782, 879], \"label\": \"white standard price tag\"},\n {\"box_2d\": [706, 895, 784, 952], \"label\": \"white standard price tag\"},\n {\"box_2d\": [693, 944, 943, 1000], \"label\": \"yellow large price tag\"}\n]\n```", "correct": true, "input_tokens": 1222, "output_tokens": 2325, "elapsed_seconds": 27.485207541962154, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 21, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 27.8237}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 107, "image": "IMG_20220316_163220_jpg.rf.07e174636631b0be143879d240f8f468.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [404, 83, 922, 405], \"label\": \"ace of diamonds\"},\n {\"box_2d\": [289, 80, 751, 381], \"label\": \"three of diamonds\"},\n {\"box_2d\": [404, 397, 868, 730], \"label\": \"two of diamonds\"},\n {\"box_2d\": [154, 452, 636, 811], \"label\": \"four of diamonds\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 497, "elapsed_seconds": 6.283990625059232, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 6.3202}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 108, "image": "2e57b9_3_10_png_jpg.rf.93746b4a960366b1a012ad339a5d68e1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [474, 138, 512, 149], \"label\": \"goalkeeper\"},\n {\"box_2d\": [504, 143, 513, 149], \"label\": \"football\"},\n {\"box_2d\": [576, 58, 625, 70], \"label\": \"player\"},\n {\"box_2d\": [748, 159, 811, 180], \"label\": \"player\"},\n {\"box_2d\": [579, 236, 628, 248], \"label\": \"player\"},\n {\"box_2d\": [478, 211, 519, 226], \"label\": \"player\"},\n {\"box_2d\": [458, 216, 496, 229], \"label\": \"player\"},\n {\"box_2d\": [500, 283, 544, 296], \"label\": \"player\"},\n {\"box_2d\": [421, 264, 456, 273], \"label\": \"player\"},\n {\"box_2d\": [375, 390, 405, 397], \"label\": \"player\"},\n {\"box_2d\": [413, 389, 449, 398], \"label\": \"player\"},\n {\"box_2d\": [587, 349, 639, 360], \"label\": \"player\"},\n {\"box_2d\": [583, 437, 634, 448], \"label\": \"player\"},\n {\"box_2d\": [445, 457, 483, 466], \"label\": \"player\"},\n {\"box_2d\": [493, 479, 535, 489], \"label\": \"referee\"},\n {\"box_2d\": [471, 499, 511, 509], \"label\": \"player\"},\n {\"box_2d\": [542, 463, 589, 476], \"label\": \"player\"},\n {\"box_2d\": [542, 495, 591, 505], \"label\": \"player\"},\n {\"box_2d\": [689, 487, 749, 499], \"label\": \"player\"},\n {\"box_2d\": [403, 630, 440, 638], \"label\": \"player\"},\n {\"box_2d\": [405, 658, 440, 666], \"label\": \"player\"},\n {\"box_2d\": [451, 675, 491, 685], \"label\": \"player\"},\n {\"box_2d\": [533, 694, 582, 704], \"label\": \"player\"},\n {\"box_2d\": [908, 744, 987, 772], \"label\": \"referee\"}\n]\n```", "correct": false, "input_tokens": 1242, "output_tokens": 2797, "elapsed_seconds": 25.136769374948926, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6534653306007385, "attempts": 1, "retries": 0, "total_seconds": 25.2315}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 109, "image": "img283_png.rf.c0609f1f38390a89165e7c735d693ab6.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [345, 36, 389, 80], \"label\": \"not gate symbol\"},\n {\"box_2d\": [345, 90, 389, 134], \"label\": \"not gate symbol\"},\n {\"box_2d\": [550, 144, 595, 188], \"label\": \"not gate symbol\"},\n {\"box_2d\": [550, 198, 595, 241], \"label\": \"not gate symbol\"},\n {\"box_2d\": [76, 366, 142, 449], \"label\": \"and gate symbol\"},\n {\"box_2d\": [249, 366, 316, 449], \"label\": \"and gate symbol\"},\n {\"box_2d\": [28, 540, 96, 624], \"label\": \"and gate symbol\"},\n {\"box_2d\": [123, 540, 190, 624], \"label\": \"and gate symbol\"},\n {\"box_2d\": [218, 540, 285, 624], \"label\": \"and gate symbol\"},\n {\"box_2d\": [329, 540, 396, 624], \"label\": \"and gate symbol\"},\n {\"box_2d\": [392, 393, 459, 476], \"label\": \"and gate symbol\"},\n {\"box_2d\": [487, 393, 554, 476], \"label\": \"and gate symbol\"},\n {\"box_2d\": [582, 393, 649, 476], \"label\": \"and gate symbol\"},\n {\"box_2d\": [676, 393, 744, 476], \"label\": \"and gate symbol\"},\n {\"box_2d\": [788, 366, 855, 449], \"label\": \"and gate symbol\"},\n {\"box_2d\": [914, 352, 981, 436], \"label\": \"and gate symbol\"},\n {\"box_2d\": [535, 701, 602, 785], \"label\": \"and gate symbol\"},\n {\"box_2d\": [170, 756, 237, 839], \"label\": \"or gate symbol\"},\n {\"box_2d\": [440, 540, 507, 624], \"label\": \"or gate symbol\"},\n {\"box_2d\": [630, 540, 697, 624], \"label\": \"or gate symbol\"},\n {\"box_2d\": [835, 554, 902, 637], \"label\": \"or gate symbol\"},\n {\"box_2d\": [661, 863, 728, 946], \"label\": \"or gate symbol\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 2156, "elapsed_seconds": 17.810381583985873, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 17.8231}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 110, "image": "000002_png.rf.4f51fa98e7c1b825375b26d30324d587.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [157, 206, 169, 225], \"label\": \"tire spike normal\"},\n {\"box_2d\": [196, 245, 212, 267], \"label\": \"tire spike absent\"},\n {\"box_2d\": [251, 298, 269, 323], \"label\": \"tire spike absent\"},\n {\"box_2d\": [348, 325, 366, 350], \"label\": \"tire spike normal\"},\n {\"box_2d\": [411, 381, 429, 405], \"label\": \"tire spike normal\"},\n {\"box_2d\": [507, 378, 526, 405], \"label\": \"tire spike normal\"},\n {\"box_2d\": [572, 434, 590, 459], \"label\": \"tire spike normal\"},\n {\"box_2d\": [758, 498, 777, 523], \"label\": \"tire spike normal\"},\n {\"box_2d\": [826, 569, 843, 592], \"label\": \"tire spike absent\"},\n {\"box_2d\": [903, 559, 918, 582], \"label\": \"tire spike absent\"},\n {\"box_2d\": [939, 614, 952, 634], \"label\": \"tire spike normal\"},\n {\"box_2d\": [176, 575, 190, 595], \"label\": \"tire spike normal\"},\n {\"box_2d\": [245, 643, 260, 666], \"label\": \"tire spike normal\"},\n {\"box_2d\": [334, 678, 350, 700], \"label\": \"tire spike normal\"},\n {\"box_2d\": [390, 745, 406, 767], \"label\": \"tire spike normal\"},\n {\"box_2d\": [467, 765, 483, 788], \"label\": \"tire spike normal\"},\n {\"box_2d\": [544, 781, 561, 804], \"label\": \"tire spike normal\"},\n {\"box_2d\": [615, 840, 632, 861], \"label\": \"tire spike normal\"},\n {\"box_2d\": [715, 836, 732, 856], \"label\": \"tire spike normal\"},\n {\"box_2d\": [767, 875, 782, 894], \"label\": \"tire spike normal\"}\n]\n```", "correct": true, "input_tokens": 1244, "output_tokens": 2550, "elapsed_seconds": 24.322757082991302, "metadata": {"match_method": "map", "num_predictions": 20, "num_ground_truth": 25, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8811880946159363, "attempts": 1, "retries": 0, "total_seconds": 24.3523}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 111, "image": "20210325_203906_jpg.rf.933d9e03e479d146bb70034cc952f103.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [153, 223, 300, 372], \"label\": \"1 euro cent coin\"},\n {\"box_2d\": [125, 517, 302, 691], \"label\": \"2 euro cent coin\"},\n {\"box_2d\": [264, 364, 455, 555], \"label\": \"5 euro cent coin\"},\n {\"box_2d\": [320, 72, 538, 291], \"label\": \"50 euro cent coin\"},\n {\"box_2d\": [331, 652, 567, 894], \"label\": \"2 euro coin\"},\n {\"box_2d\": [477, 458, 672, 656], \"label\": \"20 euro cent coin\"},\n {\"box_2d\": [541, 217, 742, 420], \"label\": \"1 euro coin\"},\n {\"box_2d\": [759, 434, 927, 605], \"label\": \"10 euro cent coin\"}\n]\n```", "correct": true, "input_tokens": 1272, "output_tokens": 1062, "elapsed_seconds": 10.296400582999922, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 10.3152}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 112, "image": "IMG_6680_jpeg_jpg.rf.a7e13dbe56d360a8422903a30c5bef2b.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [448, 28, 528, 199], \"label\": \"green poker chip\"},\n {\"box_2d\": [488, 28, 545, 200], \"label\": \"green poker chip\"},\n {\"box_2d\": [499, 34, 563, 204], \"label\": \"green poker chip\"},\n {\"box_2d\": [446, 225, 521, 384], \"label\": \"orange poker chip\"},\n {\"box_2d\": [484, 231, 540, 386], \"label\": \"orange poker chip\"},\n {\"box_2d\": [497, 214, 561, 370], \"label\": \"orange poker chip\"},\n {\"box_2d\": [445, 430, 518, 585], \"label\": \"red poker chip\"},\n {\"box_2d\": [474, 420, 536, 576], \"label\": \"red poker chip\"},\n {\"box_2d\": [498, 434, 558, 591], \"label\": \"red poker chip\"},\n {\"box_2d\": [447, 623, 521, 783], \"label\": \"blue poker chip\"},\n {\"box_2d\": [483, 622, 538, 781], \"label\": \"blue poker chip\"},\n {\"box_2d\": [504, 625, 563, 788], \"label\": \"blue poker chip\"},\n {\"box_2d\": [439, 804, 509, 972], \"label\": \"white poker chip\"},\n {\"box_2d\": [477, 814, 532, 987], \"label\": \"white poker chip\"},\n {\"box_2d\": [489, 811, 551, 986], \"label\": \"white poker chip\"}\n]\n```", "correct": true, "input_tokens": 1243, "output_tokens": 1637, "elapsed_seconds": 15.720625291927718, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 15.7412}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 113, "image": "paper-parts_1947_92_jpg.rf.c89564b4b37a6d7828cc26ccdadbe488.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [98, 860, 113, 881], \"label\": \"page number\"},\n {\"box_2d\": [143, 234, 471, 766], \"label\": \"figure\"},\n {\"box_2d\": [485, 118, 518, 882], \"label\": \"figure caption\"},\n {\"box_2d\": [523, 495, 537, 500], \"label\": \"paragraph\"},\n {\"box_2d\": [550, 267, 565, 732], \"label\": \"table caption\"},\n {\"box_2d\": [579, 224, 692, 775], \"label\": \"table\"},\n {\"box_2d\": [720, 118, 753, 882], \"label\": \"paragraph\"},\n {\"box_2d\": [777, 118, 792, 336], \"label\": \"subsection\"},\n {\"box_2d\": [804, 118, 837, 882], \"label\": \"paragraph\"},\n {\"box_2d\": [853, 427, 873, 572], \"label\": \"equation\"},\n {\"box_2d\": [887, 118, 907, 536], \"label\": \"paragraph\"}\n]\n```", "correct": true, "input_tokens": 1255, "output_tokens": 1541, "elapsed_seconds": 15.285828041960485, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 10, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8437498807907104, "attempts": 1, "retries": 0, "total_seconds": 15.3256}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 114, "image": "160623_JPG_jpg.rf.4a3c396118b0f749044f2bf5dc9876a6.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 408, 963, 518], \"label\": \"insulator flashover\"}\n]\n```", "correct": false, "input_tokens": 1218, "output_tokens": 904, "elapsed_seconds": 24.982536417082883, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 25.6317}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 115, "image": "97_jpg.rf.6e96875525666efd5c6ee92a42ea704b.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [156, 444, 232, 491], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [502, 114, 619, 159], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [365, 417, 454, 469], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [546, 519, 648, 562], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [359, 770, 444, 811], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [387, 258, 432, 315], \"label\": \"resistor symbol\"},\n {\"box_2d\": [394, 639, 438, 709], \"label\": \"resistor symbol\"},\n {\"box_2d\": [810, 285, 860, 353], \"label\": \"resistor symbol\"},\n {\"box_2d\": [559, 862, 695, 888], \"label\": \"resistor symbol\"}\n]\n```", "correct": true, "input_tokens": 1251, "output_tokens": 1023, "elapsed_seconds": 8.343443874968216, "metadata": {"match_method": "map", "num_predictions": 9, "num_ground_truth": 9, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 8.349}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 116, "image": "IMG_20260128_081234_jpg.rf.66b0abebc9fc2c6dc309b213a32ddf78.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 82, 365, 190], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [11, 297, 360, 396], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [26, 405, 362, 493], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [60, 588, 171, 667], \"label\": \"white standard price tag\"},\n {\"box_2d\": [68, 899, 175, 976], \"label\": \"white standard price tag\"},\n {\"box_2d\": [734, 37, 840, 108], \"label\": \"white standard price tag\"},\n {\"box_2d\": [745, 257, 845, 332], \"label\": \"white standard price tag\"},\n {\"box_2d\": [744, 354, 844, 428], \"label\": \"white standard price tag\"},\n {\"box_2d\": [738, 439, 838, 512], \"label\": \"white standard price tag\"},\n {\"box_2d\": [743, 558, 844, 629], \"label\": \"white standard price tag\"},\n {\"box_2d\": [746, 697, 846, 769], \"label\": \"white standard price tag\"},\n {\"box_2d\": [748, 804, 846, 875], \"label\": \"white standard price tag\"},\n {\"box_2d\": [747, 880, 846, 946], \"label\": \"white standard price tag\"},\n {\"box_2d\": [748, 945, 846, 1000], \"label\": \"white standard price tag\"}\n]\n```", "correct": true, "input_tokens": 1222, "output_tokens": 1979, "elapsed_seconds": 26.36638616595883, "metadata": {"match_method": "map", "num_predictions": 14, "num_ground_truth": 14, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 26.6523}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 117, "image": "1668147222__jpg.rf.44d299ff8b2787b4176e92260de001ce.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [597, 40, 644, 68], \"label\": \"five die\"},\n {\"box_2d\": [506, 108, 560, 141], \"label\": \"six die\"},\n {\"box_2d\": [568, 145, 625, 179], \"label\": \"three die\"},\n {\"box_2d\": [841, 120, 899, 154], \"label\": \"five die\"},\n {\"box_2d\": [355, 125, 402, 153], \"label\": \"six die\"},\n {\"box_2d\": [279, 206, 329, 235], \"label\": \"five die\"},\n {\"box_2d\": [422, 221, 469, 248], \"label\": \"five die\"},\n {\"box_2d\": [374, 292, 428, 324], \"label\": \"one die\"},\n {\"box_2d\": [426, 304, 472, 330], \"label\": \"two die\"},\n {\"box_2d\": [584, 284, 634, 312], \"label\": \"six die\"},\n {\"box_2d\": [129, 317, 187, 349], \"label\": \"four die\"},\n {\"box_2d\": [175, 381, 232, 412], \"label\": \"two die\"},\n {\"box_2d\": [135, 398, 192, 429], \"label\": \"one die\"},\n {\"box_2d\": [525, 391, 581, 422], \"label\": \"four die\"},\n {\"box_2d\": [643, 372, 699, 404], \"label\": \"six die\"},\n {\"box_2d\": [402, 473, 456, 503], \"label\": \"one die\"},\n {\"box_2d\": [302, 490, 353, 517], \"label\": \"three die\"},\n {\"box_2d\": [213, 496, 271, 529], \"label\": \"one die\"},\n {\"box_2d\": [230, 528, 281, 556], \"label\": \"two die\"},\n {\"box_2d\": [182, 538, 239, 571], \"label\": \"five die\"},\n {\"box_2d\": [125, 553, 179, 583], \"label\": \"two die\"},\n {\"box_2d\": [170, 569, 225, 600], \"label\": \"two die\"},\n {\"box_2d\": [21, 613, 79, 645], \"label\": \"five die\"},\n {\"box_2d\": [376, 531, 430, 561], \"label\": \"six die\"},\n {\"box_2d\": [626, 501, 672, 527], \"label\": \"two die\"},\n {\"box_2d\": [629, 540, 686, 573], \"label\": \"two die\"},\n {\"box_2d\": [755, 448, 804, 475], \"label\": \"five die\"},\n {\"box_2d\": [759, 509, 811, 538], \"label\": \"four die\"},\n {\"box_2d\": [772, 563, 829, 595], \"label\": \"four die\"},\n {\"box_2d\": [589, 582, 637, 609], \"label\": \"four die\"},\n {\"box_2d\": [461, 585, 516, 618], \"label\": \"six die\"},\n {\"box_2d\": [285, 611, 342, 644], \"label\": \"two die\"},\n {\"box_2d\": [333, 634, 381, 661], \"label\": \"two die\"},\n {\"box_2d\": [396, 639, 445, 667], \"label\": \"five die\"},\n {\"box_2d\": [482, 626, 538, 659], \"label\": \"one die\"},\n {\"box_2d\": [536, 628, 589, 657], \"label\": \"four die\"},\n {\"box_2d\": [568, 650, 625, 682], \"label\": \"six die\"},\n {\"box_2d\": [641, 665, 695, 696], \"label\": \"three die\"},\n {\"box_2d\": [136, 729, 191, 759], \"label\": \"one die\"},\n {\"box_2d\": [158, 793, 215, 826], \"label\": \"three die\"},\n {\"box_2d\": [354, 696, 400, 722], \"label\": \"four die\"},\n {\"box_2d\": [400, 730, 460, 764], \"label\": \"four die\"},\n {\"box_2d\": [464, 743, 520, 776], \"label\": \"five die\"},\n {\"box_2d\": [515, 758, 566, 787], \"label\": \"two die\"},\n {\"box_2d\": [584, 769, 641, 802], \"label\": \"three die\"},\n {\"box_2d\": [450, 859, 497, 887], \"label\": \"four die\"},\n {\"box_2d\": [699, 913, 746, 942], \"label\": \"five die\"},\n {\"box_2d\": [82, 935, 132, 965], \"label\": \"two die\"},\n {\"box_2d\": [128, 919, 183, 950], \"label\": \"two die\"},\n {\"box_2d\": [127, 949, 176, 977], \"label\": \"three die\"}\n]\n```", "correct": true, "input_tokens": 1252, "output_tokens": 3943, "elapsed_seconds": 34.70820691692643, "metadata": {"match_method": "map", "num_predictions": 50, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9495782852172852, "attempts": 1, "retries": 0, "total_seconds": 34.7479}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 118, "image": "IMG_0603_jpeg.rf.ecb146a41f95c297fa9a3a9efb0e3ea5.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [461, 213, 616, 311], \"label\": \"peach jelly bean\"},\n {\"box_2d\": [338, 396, 456, 467], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [465, 519, 591, 641], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [345, 688, 447, 799], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [97, 770, 159, 824], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [102, 820, 161, 873], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [121, 868, 164, 912], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [152, 855, 216, 905], \"label\": \"caramel corn jelly bean\"}\n]\n```", "correct": true, "input_tokens": 1230, "output_tokens": 4547, "elapsed_seconds": 46.0140697080642, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8341583609580994, "attempts": 1, "retries": 0, "total_seconds": 46.0492}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 119, "image": "lot229_JPEG_jpg.rf.ffdf35568953f3fde9f8f46749018268.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [129, 355, 171, 380], \"label\": \"chicory seed\"},\n {\"box_2d\": [137, 376, 180, 400], \"label\": \"chicory seed\"},\n {\"box_2d\": [119, 412, 160, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [115, 452, 136, 493], \"label\": \"chicory seed\"},\n {\"box_2d\": [121, 466, 151, 507], \"label\": \"chicory seed\"},\n {\"box_2d\": [135, 432, 169, 469], \"label\": \"chicory seed\"},\n {\"box_2d\": [151, 450, 182, 487], \"label\": \"chicory seed\"},\n {\"box_2d\": [126, 489, 165, 521], \"label\": \"chicory seed\"},\n {\"box_2d\": [124, 540, 144, 585], \"label\": \"chicory seed\"},\n {\"box_2d\": [167, 299, 190, 343], \"label\": \"chicory seed\"},\n {\"box_2d\": [168, 348, 208, 372], \"label\": \"chicory seed\"},\n {\"box_2d\": [179, 263, 204, 300], \"label\": \"chicory seed\"},\n {\"box_2d\": [193, 240, 214, 283], \"label\": \"chicory seed\"},\n {\"box_2d\": [187, 315, 220, 353], \"label\": \"chicory seed\"},\n {\"box_2d\": [187, 391, 220, 426], \"label\": \"chicory seed\"},\n {\"box_2d\": [200, 354, 232, 394], \"label\": \"chicory seed\"},\n {\"box_2d\": [190, 425, 218, 468], \"label\": \"chicory seed\"},\n {\"box_2d\": [164, 491, 204, 514], \"label\": \"chicory seed\"},\n {\"box_2d\": [155, 510, 178, 553], \"label\": \"chicory seed\"},\n {\"box_2d\": [172, 513, 195, 555], \"label\": \"chicory seed\"},\n {\"box_2d\": [192, 507, 219, 546], \"label\": \"chicory seed\"},\n {\"box_2d\": [154, 550, 183, 591], \"label\": \"chicory seed\"},\n {\"box_2d\": [172, 555, 196, 599], \"label\": \"chicory seed\"},\n {\"box_2d\": [159, 598, 202, 619], \"label\": \"chicory seed\"},\n {\"box_2d\": [166, 617, 209, 637], \"label\": \"chicory seed\"},\n {\"box_2d\": [166, 658, 196, 695], \"label\": \"chicory seed\"},\n {\"box_2d\": [196, 529, 229, 563], \"label\": \"chicory seed\"},\n {\"box_2d\": [201, 599, 241, 619], \"label\": \"chicory seed\"},\n {\"box_2d\": [198, 678, 239, 703], \"label\": \"chicory seed\"},\n {\"box_2d\": [206, 698, 246, 720], \"label\": \"chicory seed\"},\n {\"box_2d\": [212, 253, 233, 295], \"label\": \"chicory seed\"},\n {\"box_2d\": [217, 230, 260, 251], \"label\": \"chicory seed\"},\n {\"box_2d\": [231, 248, 269, 266], \"label\": \"chicory seed\"},\n {\"box_2d\": [224, 265, 261, 302], \"label\": \"chicory seed\"},\n {\"box_2d\": [209, 316, 250, 345], \"label\": \"chicory seed\"},\n {\"box_2d\": [224, 302, 261, 333], \"label\": \"chicory seed\"},\n {\"box_2d\": [222, 381, 243, 421], \"label\": \"chicory seed\"},\n {\"box_2d\": [212, 446, 232, 488], \"label\": \"chicory seed\"},\n {\"box_2d\": [219, 487, 243, 532], \"label\": \"chicory seed\"},\n {\"box_2d\": [232, 495, 260, 537], \"label\": \"chicory seed\"},\n {\"box_2d\": [208, 546, 238, 583], \"label\": \"chicory seed\"},\n {\"box_2d\": [215, 557, 247, 597], \"label\": \"chicory seed\"},\n {\"box_2d\": [231, 563, 260, 606], \"label\": \"chicory seed\"},\n {\"box_2d\": [213, 610, 251, 643], \"label\": \"chicory seed\"},\n {\"box_2d\": [229, 616, 266, 651], \"label\": \"chicory seed\"},\n {\"box_2d\": [220, 646, 254, 672], \"label\": \"chicory seed\"},\n {\"box_2d\": [240, 667, 274, 703], \"label\": \"chicory seed\"},\n {\"box_2d\": [234, 718, 278, 744], \"label\": \"chicory seed\"},\n {\"box_2d\": [252, 198, 279, 239], \"label\": \"chicory seed\"},\n {\"box_2d\": [262, 220, 298, 248], \"label\": \"chicory seed\"},\n {\"box_2d\": [264, 243, 287, 285], \"label\": \"chicory seed\"},\n {\"box_2d\": [258, 305, 281, 349], \"label\": \"chicory seed\"},\n {\"box_2d\": [232, 340, 268, 376], \"label\": \"chicory seed\"},\n {\"box_2d\": [240, 355, 276, 389], \"label\": \"chicory seed\"},\n {\"box_2d\": [240, 389, 277, 426], \"label\": \"chicory seed\"},\n {\"box_2d\": [262, 410, 283, 455], \"label\": \"chicory seed\"},\n {\"box_2d\": [233, 470, 277, 497], \"label\": \"chicory seed\"},\n {\"box_2d\": [257, 499, 289, 535], \"label\": \"chicory seed\"},\n {\"box_2d\": [233, 519, 263, 557], \"label\": \"chicory seed\"},\n {\"box_2d\": [254, 529, 280, 568], \"label\": \"chicory seed\"},\n {\"box_2d\": [251, 567, 279, 609], \"label\": \"chicory seed\"},\n {\"box_2d\": [272, 536, 293, 573], \"label\": \"chicory seed\"},\n {\"box_2d\": [258, 605, 295, 640], \"label\": \"chicory seed\"},\n {\"box_2d\": [251, 636, 291, 665], \"label\": \"chicory seed\"},\n {\"box_2d\": [271, 588, 307, 623], \"label\": \"chicory seed\"},\n {\"box_2d\": [277, 571, 316, 597], \"label\": \"chicory seed\"},\n {\"box_2d\": [277, 718, 321, 740], \"label\": \"chicory seed\"},\n {\"box_2d\": [272, 746, 315, 772], \"label\": \"chicory seed\"},\n {\"box_2d\": [277, 761, 314, 792], \"label\": \"chicory seed\"},\n {\"box_2d\": [287, 255, 315, 294], \"label\": \"chicory seed\"},\n {\"box_2d\": [281, 285, 304, 328], \"label\": \"chicory seed\"},\n {\"box_2d\": [274, 331, 295, 373], \"label\": \"chicory seed\"},\n {\"box_2d\": [293, 322, 320, 365], \"label\": \"chicory seed\"},\n {\"box_2d\": [270, 372, 310, 402], \"label\": \"chicory seed\"},\n {\"box_2d\": [288, 365, 326, 400], \"label\": \"chicory seed\"},\n {\"box_2d\": [281, 400, 302, 442], \"label\": \"chicory seed\"},\n {\"box_2d\": [316, 203, 354, 235], \"label\": \"chicory seed\"},\n {\"box_2d\": [305, 236, 339, 270], \"label\": \"chicory seed\"},\n {\"box_2d\": [313, 269, 344, 311], \"label\": \"chicory seed\"},\n {\"box_2d\": [331, 248, 369, 289], \"label\": \"chicory seed\"},\n {\"box_2d\": [329, 268, 363, 312], \"label\": \"chicory seed\"},\n {\"box_2d\": [305, 296, 331, 340], \"label\": \"chicory seed\"},\n {\"box_2d\": [319, 348, 342, 389], \"label\": \"chicory seed\"},\n {\"box_2d\": [334, 321, 357, 366], \"label\": \"chicory seed\"},\n {\"box_2d\": [347, 313, 373, 357], \"label\": \"chicory seed\"},\n {\"box_2d\": [343, 355, 382, 388], \"label\": \"chicory seed\"},\n {\"box_2d\": [322, 389, 346, 431], \"label\": \"chicory seed\"},\n {\"box_2d\": [342, 388, 368, 430], \"label\": \"chicory seed\"},\n {\"box_2d\": [298, 406, 336, 440], \"label\": \"chicory seed\"},\n {\"box_2d\": [297, 427, 332, 456], \"label\": \"chicory seed\"},\n {\"box_2d\": [286, 443, 324, 471], \"label\": \"chicory seed\"},\n {\"box_2d\": [290, 459, 319, 499], \"label\": \"chicory seed\"},\n {\"box_2d\": [317, 455, 339, 502], \"label\": \"chicory seed\"},\n {\"box_2d\": [330, 436, 359, 481], \"label\": \"chicory seed\"},\n {\"box_2d\": [342, 430, 380, 463], \"label\": \"chicory seed\"},\n {\"box_2d\": [289, 498, 325, 531], \"label\": \"chicory seed\"},\n {\"box_2d\": [311, 514, 334, 558], \"label\": \"chicory seed\"},\n {\"box_2d\": [292, 531, 314, 577], \"label\": \"chicory seed\"},\n {\"box_2d\": [309, 556, 350, 577], \"label\": \"chicory seed\"},\n {\"box_2d\": [314, 569, 356, 595], \"label\": \"chicory seed\"},\n {\"box_2d\": [306, 597, 347, 618], \"label\": \"chicory seed\"},\n {\"box_2d\": [294, 616, 330, 655], \"label\": \"chicory seed\"},\n {\"box_2d\": [305, 639, 335, 681], \"label\": \"chicory seed\"},\n {\"box_2d\": [325, 655, 369, 684], \"label\": \"chicory seed\"},\n {\"box_2d\": [324, 683, 361, 718], \"label\": \"chicory seed\"},\n {\"box_2d\": [307, 773, 348, 800], \"label\": \"chicory seed\"},\n {\"box_2d\": [329, 787, 364, 822], \"label\": \"chicory seed\"},\n {\"box_2d\": [350, 788, 380, 830], \"label\": \"chicory seed\"},\n {\"box_2d\": [357, 745, 380, 787], \"label\": \"chicory seed\"},\n {\"box_2d\": [375, 126, 400, 168], \"label\": \"chicory seed\"},\n {\"box_2d\": [385, 144, 415, 178], \"label\": \"chicory seed\"},\n {\"box_2d\": [364, 187, 405, 212], \"label\": \"chicory seed\"},\n {\"box_2d\": [405, 178, 447, 200], \"label\": \"chicory seed\"},\n {\"box_2d\": [392, 204, 425, 243], \"label\": \"chicory seed\"},\n {\"box_2d\": [397, 229, 435, 258], \"label\": \"chicory seed\"},\n {\"box_2d\": [424, 196, 461, 226], \"label\": \"chicory seed\"},\n {\"box_2d\": [425, 232, 457, 270], \"label\": \"chicory seed\"},\n {\"box_2d\": [363, 278, 387, 320], \"label\": \"chicory seed\"},\n {\"box_2d\": [400, 273, 442, 306], \"label\": \"chicory seed\"},\n {\"box_2d\": [404, 304, 445, 329], \"label\": \"chicory seed\"},\n {\"box_2d\": [420, 326, 460, 349], \"label\": \"chicory seed\"},\n {\"box_2d\": [399, 342, 435, 373], \"label\": \"chicory seed\"},\n {\"box_2d\": [366, 375, 406, 398], \"label\": \"chicory seed\"},\n {\"box_2d\": [362, 396, 389, 437], \"label\": \"chicory seed\"},\n {\"box_2d\": [376, 406, 401, 446], \"label\": \"chicory seed\"},\n {\"box_2d\": [356, 452, 391, 489], \"label\": \"chicory seed\"},\n {\"box_2d\": [402, 377, 443, 404], \"label\": \"chicory seed\"},\n {\"box_2d\": [404, 408, 434, 445], \"label\": \"chicory seed\"},\n {\"box_2d\": [419, 396, 452, 433], \"label\": \"chicory seed\"},\n {\"box_2d\": [435, 389, 468, 431], \"label\": \"chicory seed\"},\n {\"box_2d\": [442, 355, 464, 399], \"label\": \"chicory seed\"},\n {\"box_2d\": [384, 441, 417, 480], \"label\": \"chicory seed\"},\n {\"box_2d\": [419, 429, 460, 461], \"label\": \"chicory seed\"},\n {\"box_2d\": [428, 445, 467, 478], \"label\": \"chicory seed\"},\n {\"box_2d\": [325, 495, 366, 521], \"label\": \"chicory seed\"},\n {\"box_2d\": [336, 524, 379, 553], \"label\": \"chicory seed\"},\n {\"box_2d\": [334, 545, 374, 577], \"label\": \"chicory seed\"},\n {\"box_2d\": [331, 577, 374, 603], \"label\": \"chicory seed\"},\n {\"box_2d\": [330, 599, 373, 629], \"label\": \"chicory seed\"},\n {\"box_2d\": [329, 616, 368, 650], \"label\": \"chicory seed\"},\n {\"box_2d\": [351, 615, 382, 658], \"label\": \"chicory seed\"},\n {\"box_2d\": [368, 632, 395, 677], \"label\": \"chicory seed\"},\n {\"box_2d\": [378, 493, 402, 535], \"label\": \"chicory seed\"},\n {\"box_2d\": [390, 478, 424, 515], \"label\": \"chicory seed\"},\n {\"box_2d\": [400, 459, 430, 501], \"label\": \"chicory seed\"},\n {\"box_2d\": [427, 478, 452, 521], \"label\": \"chicory seed\"},\n {\"box_2d\": [370, 550, 400, 593], \"label\": \"chicory seed\"},\n {\"box_2d\": [386, 524, 421, 562], \"label\": \"chicory seed\"},\n {\"box_2d\": [404, 515, 438, 555], \"label\": \"chicory seed\"},\n {\"box_2d\": [416, 501, 448, 544], \"label\": \"chicory seed\"},\n {\"box_2d\": [386, 548, 424, 583], \"label\": \"chicory seed\"},\n {\"box_2d\": [370, 592, 414, 615], \"label\": \"chicory seed\"},\n {\"box_2d\": [397, 576, 438, 607], \"label\": \"chicory seed\"},\n {\"box_2d\": [380, 607, 422, 636], \"label\": \"chicory seed\"},\n {\"box_2d\": [392, 622, 430, 655], \"label\": \"chicory seed\"},\n {\"box_2d\": [401, 634, 436, 673], \"label\": \"chicory seed\"},\n {\"box_2d\": [416, 646, 444, 687], \"label\": \"chicory seed\"},\n {\"box_2d\": [359, 680, 391, 718], \"label\": \"chicory seed\"},\n {\"box_2d\": [361, 703, 396, 740], \"label\": \"chicory seed\"},\n {\"box_2d\": [381, 684, 412, 726], \"label\": \"chicory seed\"},\n {\"box_2d\": [388, 659, 418, 697], \"label\": \"chicory seed\"},\n {\"box_2d\": [411, 690, 454, 713], \"label\": \"chicory seed\"},\n {\"box_2d\": [410, 711, 453, 734], \"label\": \"chicory seed\"},\n {\"box_2d\": [395, 734, 436, 769], \"label\": \"chicory seed\"},\n {\"box_2d\": [397, 772, 436, 808], \"label\": \"chicory seed\"},\n {\"box_2d\": [424, 753, 462, 779], \"label\": \"chicory seed\"},\n {\"box_2d\": [428, 778, 466, 813], \"label\": \"chicory seed\"},\n {\"box_2d\": [460, 191, 480, 232], \"label\": \"chicory seed\"},\n {\"box_2d\": [484, 188, 524, 215], \"label\": \"chicory seed\"},\n {\"box_2d\": [461, 241, 495, 281], \"label\": \"chicory seed\"},\n {\"box_2d\": [478, 233, 509, 273], \"label\": \"chicory seed\"},\n {\"box_2d\": [507, 268, 531, 309], \"label\": \"chicory seed\"},\n {\"box_2d\": [522, 246, 555, 285], \"label\": \"chicory seed\"},\n {\"box_2d\": [525, 220, 563, 253], \"label\": \"chicory seed\"},\n {\"box_2d\": [481, 316, 509, 360], \"label\": \"chicory seed\"},\n {\"box_2d\": [508, 310, 532, 349], \"label\": \"chicory seed\"},\n {\"box_2d\": [524, 311, 560, 351], \"label\": \"chicory seed\"},\n {\"box_2d\": [504, 342, 545, 376], \"label\": \"chicory seed\"},\n {\"box_2d\": [460, 342, 483, 386], \"label\": \"chicory seed\"},\n {\"box_2d\": [465, 397, 508, 421], \"label\": \"chicory seed\"},\n {\"box_2d\": [485, 387, 525, 410], \"label\": \"chicory seed\"},\n {\"box_2d\": [517, 370, 549, 408], \"label\": \"chicory seed\"},\n {\"box_2d\": [474, 418, 515, 449], \"label\": \"chicory seed\"},\n {\"box_2d\": [514, 403, 542, 444], \"label\": \"chicory seed\"},\n {\"box_2d\": [525, 418, 554, 460], \"label\": \"chicory seed\"},\n {\"box_2d\": [547, 425, 572, 468], \"label\": \"chicory seed\"},\n {\"box_2d\": [467, 451, 508, 485], \"label\": \"chicory seed\"},\n {\"box_2d\": [453, 467, 477, 511], \"label\": \"chicory seed\"},\n {\"box_2d\": [482, 478, 524, 503], \"label\": \"chicory seed\"},\n {\"box_2d\": [473, 499, 517, 524], \"label\": \"chicory seed\"},\n {\"box_2d\": [493, 507, 535, 538], \"label\": \"chicory seed\"},\n {\"box_2d\": [444, 514, 477, 550], \"label\": \"chicory seed\"},\n {\"box_2d\": [418, 554, 450, 596], \"label\": \"chicory seed\"},\n {\"box_2d\": [437, 542, 469, 583], \"label\": \"chicory seed\"},\n {\"box_2d\": [457, 545, 497, 580], \"label\": \"chicory seed\"},\n {\"box_2d\": [475, 522, 506, 562], \"label\": \"chicory seed\"},\n {\"box_2d\": [503, 533, 528, 577], \"label\": \"chicory seed\"},\n {\"box_2d\": [422, 605, 451, 648], \"label\": \"chicory seed\"},\n {\"box_2d\": [440, 603, 474, 646], \"label\": \"chicory seed\"},\n {\"box_2d\": [445, 584, 478, 625], \"label\": \"chicory seed\"},\n {\"box_2d\": [460, 574, 489, 617], \"label\": \"chicory seed\"},\n {\"box_2d\": [479, 576, 516, 616], \"label\": \"chicory seed\"},\n {\"box_2d\": [491, 558, 523, 599], \"label\": \"chicory seed\"},\n {\"box_2d\": [515, 594, 535, 634], \"label\": \"chicory seed\"},\n {\"box_2d\": [441, 648, 464, 691], \"label\": \"chicory seed\"},\n {\"box_2d\": [460, 642, 483, 683], \"label\": \"chicory seed\"},\n {\"box_2d\": [469, 622, 503, 656], \"label\": \"chicory seed\"},\n {\"box_2d\": [481, 610, 522, 639], \"label\": \"chicory seed\"},\n {\"box_2d\": [479, 654, 515, 678], \"label\": \"chicory seed\"},\n {\"box_2d\": [508, 636, 544, 670], \"label\": \"chicory seed\"},\n {\"box_2d\": [494, 659, 532, 690], \"label\": \"chicory seed\"},\n {\"box_2d\": [454, 687, 495, 718], \"label\": \"chicory seed\"},\n {\"box_2d\": [486, 682, 525, 715], \"label\": \"chicory seed\"},\n {\"box_2d\": [517, 669, 560, 691], \"label\": \"chicory seed\"},\n {\"box_2d\": [451, 725, 479, 767], \"label\": \"chicory seed\"},\n {\"box_2d\": [464, 753, 494, 793], \"label\": \"chicory seed\"},\n {\"box_2d\": [479, 723, 513, 763], \"label\": \"chicory seed\"},\n {\"box_2d\": [505, 705, 536, 745], \"label\": \"chicory seed\"},\n {\"box_2d\": [525, 688, 547, 732], \"label\": \"chicory seed\"},\n {\"box_2d\": [514, 738, 547, 777], \"label\": \"chicory seed\"},\n {\"box_2d\": [499, 780, 537, 804], \"label\": \"chicory seed\"},\n {\"box_2d\": [476, 796, 506, 834], \"label\": \"chicory seed\"},\n {\"box_2d\": [491, 802, 527, 842], \"label\": \"chicory seed\"},\n {\"box_2d\": [554, 183, 588, 219], \"label\": \"chicory seed\"},\n {\"box_2d\": [593, 172, 630, 203], \"label\": \"chicory seed\"},\n {\"box_2d\": [598, 196, 636, 232], \"label\": \"chicory seed\"},\n {\"box_2d\": [638, 195, 676, 232], \"label\": \"chicory seed\"},\n {\"box_2d\": [565, 264, 606, 292], \"label\": \"chicory seed\"},\n {\"box_2d\": [633, 273, 676, 297], \"label\": \"chicory seed\"},\n {\"box_2d\": [579, 305, 604, 350], \"label\": \"chicory seed\"},\n {\"box_2d\": [600, 331, 632, 371], \"label\": \"chicory seed\"},\n {\"box_2d\": [578, 346, 606, 390], \"label\": \"chicory seed\"},\n {\"box_2d\": [554, 378, 584, 421], \"label\": \"chicory seed\"},\n {\"box_2d\": [567, 390, 599, 432], \"label\": \"chicory seed\"},\n {\"box_2d\": [584, 405, 624, 436], \"label\": \"chicory seed\"},\n {\"box_2d\": [572, 436, 594, 480], \"label\": \"chicory seed\"},\n {\"box_2d\": [580, 473, 623, 495], \"label\": \"chicory seed\"},\n {\"box_2d\": [622, 458, 661, 490], \"label\": \"chicory seed\"},\n {\"box_2d\": [608, 490, 650, 513], \"label\": \"chicory seed\"},\n {\"box_2d\": [527, 483, 571, 510], \"label\": \"chicory seed\"},\n {\"box_2d\": [558, 496, 599, 520], \"label\": \"chicory seed\"},\n {\"box_2d\": [540, 511, 576, 545], \"label\": \"chicory seed\"},\n {\"box_2d\": [574, 518, 596, 558], \"label\": \"chicory seed\"},\n {\"box_2d\": [591, 522, 619, 565], \"label\": \"chicory seed\"},\n {\"box_2d\": [618, 519, 641, 564], \"label\": \"chicory seed\"},\n {\"box_2d\": [554, 551, 596, 575], \"label\": \"chicory seed\"},\n {\"box_2d\": [527, 568, 568, 591], \"label\": \"chicory seed\"},\n {\"box_2d\": [532, 588, 577, 612], \"label\": \"chicory seed\"},\n {\"box_2d\": [570, 567, 609, 599], \"label\": \"chicory seed\"},\n {\"box_2d\": [614, 562, 654, 585], \"label\": \"chicory seed\"},\n {\"box_2d\": [598, 579, 632, 620], \"label\": \"chicory seed\"},\n {\"box_2d\": [535, 608, 558, 647], \"label\": \"chicory seed\"},\n {\"box_2d\": [556, 610, 595, 645], \"label\": \"chicory seed\"},\n {\"box_2d\": [576, 601, 611, 641], \"label\": \"chicory seed\"},\n {\"box_2d\": [606, 604, 646, 640], \"label\": \"chicory seed\"},\n {\"box_2d\": [555, 634, 596, 667], \"label\": \"chicory seed\"},\n {\"box_2d\": [585, 633, 621, 670], \"label\": \"chicory seed\"},\n {\"box_2d\": [617, 634, 640, 679], \"label\": \"chicory seed\"},\n {\"box_2d\": [544, 694, 566, 736], \"label\": \"chicory seed\"},\n {\"box_2d\": [555, 678, 594, 711], \"label\": \"chicory seed\"},\n {\"box_2d\": [569, 694, 609, 728], \"label\": \"chicory seed\"},\n {\"box_2d\": [536, 740, 577, 771], \"label\": \"chicory seed\"},\n {\"box_2d\": [560, 727, 602, 752], \"label\": \"chicory seed\"},\n {\"box_2d\": [576, 748, 617, 770], \"label\": \"chicory seed\"},\n {\"box_2d\": [541, 771, 586, 794], \"label\": \"chicory seed\"},\n {\"box_2d\": [613, 680, 634, 727], \"label\": \"chicory seed\"},\n {\"box_2d\": [631, 673, 655, 717], \"label\": \"chicory seed\"},\n {\"box_2d\": [617, 734, 642, 775], \"label\": \"chicory seed\"},\n {\"box_2d\": [638, 707, 662, 753], \"label\": \"chicory seed\"},\n {\"box_2d\": [683, 327, 722, 353], \"label\": \"chicory seed\"},\n {\"box_2d\": [678, 344, 706, 387], \"label\": \"chicory seed\"},\n {\"box_2d\": [673, 387, 709, 412], \"label\": \"chicory seed\"},\n {\"box_2d\": [646, 369, 678, 409], \"label\": \"chicory seed\"},\n {\"box_2d\": [627, 415, 659, 456], \"label\": \"chicory seed\"},\n {\"box_2d\": [649, 407, 673, 450], \"label\": \"chicory seed\"},\n {\"box_2d\": [671, 413, 711, 444], \"label\": \"chicory seed\"},\n {\"box_2d\": [708, 278, 747, 310], \"label\": \"chicory seed\"},\n {\"box_2d\": [708, 405, 745, 442], \"label\": \"chicory seed\"},\n {\"box_2d\": [655, 451, 690, 489], \"label\": \"chicory seed\"},\n {\"box_2d\": [686, 461, 730, 485], \"label\": \"chicory seed\"},\n {\"box_2d\": [660, 485, 704, 511], \"label\": \"chicory seed\"},\n {\"box_2d\": [724, 442, 754, 483], \"label\": \"chicory seed\"},\n {\"box_2d\": [748, 410, 770, 455], \"label\": \"chicory seed\"},\n {\"box_2d\": [769, 355, 792, 396], \"label\": \"chicory seed\"},\n {\"box_2d\": [768, 395, 800, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [765, 453, 804, 476], \"label\": \"chicory seed\"},\n {\"box_2d\": [651, 545, 674, 589], \"label\": \"chicory seed\"},\n {\"box_2d\": [678, 530, 716, 569], \"label\": \"chicory seed\"},\n {\"box_2d\": [683, 554, 719, 594], \"label\": \"chicory seed\"},\n {\"box_2d\": [698, 564, 737, 601], \"label\": \"chicory seed\"},\n {\"box_2d\": [706, 582, 744, 619], \"label\": \"chicory seed\"},\n {\"box_2d\": [724, 498, 764, 522], \"label\": \"chicory seed\"},\n {\"box_2d\": [730, 519, 755, 562], \"label\": \"chicory seed\"},\n {\"box_2d\": [753, 510, 791, 545], \"label\": \"chicory seed\"},\n {\"box_2d\": [742, 552, 780, 585], \"label\": \"chicory seed\"},\n {\"box_2d\": [740, 602, 768, 647], \"label\": \"chicory seed\"},\n {\"box_2d\": [760, 601, 787, 643], \"label\": \"chicory seed\"},\n {\"box_2d\": [690, 638, 715, 681], \"label\": \"chicory seed\"},\n {\"box_2d\": [713, 640, 756, 663], \"label\": \"chicory seed\"},\n {\"box_2d\": [702, 661, 742, 694], \"label\": \"chicory seed\"},\n {\"box_2d\": [684, 680, 719, 719], \"label\": \"chicory seed\"},\n {\"box_2d\": [663, 717, 696, 757], \"label\": \"chicory seed\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 17878, "elapsed_seconds": 104.94829404097982, "metadata": {"match_method": "map", "num_predictions": 302, "num_ground_truth": 303, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3366336524486542, "attempts": 1, "retries": 0, "total_seconds": 105.073}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 120, "image": "Screenshot-2024-05-16-144630_png.rf.ac24f71a7370686a36ea1f2bec910257.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [9, 118, 28, 139], \"label\": \"bullet hole\"},\n {\"box_2d\": [77, 125, 97, 146], \"label\": \"bullet hole\"},\n {\"box_2d\": [166, 138, 190, 159], \"label\": \"bullet hole\"},\n {\"box_2d\": [223, 143, 248, 165], \"label\": \"bullet hole\"},\n {\"box_2d\": [52, 342, 72, 366], \"label\": \"bullet hole\"},\n {\"box_2d\": [113, 341, 136, 365], \"label\": \"bullet hole\"},\n {\"box_2d\": [178, 341, 200, 364], \"label\": \"bullet hole\"},\n {\"box_2d\": [99, 565, 121, 586], \"label\": \"bullet hole\"},\n {\"box_2d\": [213, 507, 236, 530], \"label\": \"bullet hole\"},\n {\"box_2d\": [257, 610, 279, 634], \"label\": \"bullet hole\"},\n {\"box_2d\": [222, 669, 250, 696], \"label\": \"bullet hole\"},\n {\"box_2d\": [68, 807, 91, 832], \"label\": \"bullet hole\"},\n {\"box_2d\": [138, 793, 163, 818], \"label\": \"bullet hole\"},\n {\"box_2d\": [225, 847, 248, 871], \"label\": \"bullet hole\"},\n {\"box_2d\": [331, 834, 358, 859], \"label\": \"bullet hole\"},\n {\"box_2d\": [389, 828, 417, 852], \"label\": \"bullet hole\"},\n {\"box_2d\": [320, 667, 343, 694], \"label\": \"bullet hole\"},\n {\"box_2d\": [312, 558, 336, 583], \"label\": \"bullet hole\"},\n {\"box_2d\": [359, 605, 383, 631], \"label\": \"bullet hole\"},\n {\"box_2d\": [348, 274, 376, 300], \"label\": \"bullet hole\"},\n {\"box_2d\": [424, 219, 447, 244], \"label\": \"bullet hole\"},\n {\"box_2d\": [473, 156, 488, 173], \"label\": \"bullet hole\"},\n {\"box_2d\": [568, 92, 594, 118], \"label\": \"bullet hole\"},\n {\"box_2d\": [631, 35, 649, 55], \"label\": \"bullet hole\"},\n {\"box_2d\": [567, 270, 592, 294], \"label\": \"bullet hole\"},\n {\"box_2d\": [612, 246, 633, 271], \"label\": \"bullet hole\"},\n {\"box_2d\": [580, 362, 603, 386], \"label\": \"bullet hole\"},\n {\"box_2d\": [528, 460, 555, 487], \"label\": \"bullet hole\"},\n {\"box_2d\": [586, 610, 611, 634], \"label\": \"bullet hole\"},\n {\"box_2d\": [685, 606, 711, 633], \"label\": \"bullet hole\"},\n {\"box_2d\": [684, 449, 710, 476], \"label\": \"bullet hole\"},\n {\"box_2d\": [720, 354, 744, 382], \"label\": \"bullet hole\"},\n {\"box_2d\": [745, 259, 765, 285], \"label\": \"bullet hole\"},\n {\"box_2d\": [741, 172, 764, 194], \"label\": \"bullet hole\"},\n {\"box_2d\": [794, 236, 820, 257], \"label\": \"bullet hole\"},\n {\"box_2d\": [781, 341, 806, 363], \"label\": \"bullet hole\"},\n {\"box_2d\": [854, 321, 880, 343], \"label\": \"bullet hole\"},\n {\"box_2d\": [927, 168, 946, 189], \"label\": \"bullet hole\"},\n {\"box_2d\": [812, 517, 835, 540], \"label\": \"bullet hole\"},\n {\"box_2d\": [879, 453, 907, 482], \"label\": \"bullet hole\"},\n {\"box_2d\": [935, 537, 955, 562], \"label\": \"bullet hole\"},\n {\"box_2d\": [860, 608, 882, 635], \"label\": \"bullet hole\"},\n {\"box_2d\": [890, 780, 914, 804], \"label\": \"bullet hole\"},\n {\"box_2d\": [893, 886, 918, 909], \"label\": \"bullet hole\"}\n]\n```", "correct": false, "input_tokens": 1222, "output_tokens": 4367, "elapsed_seconds": 34.697429958032444, "metadata": {"match_method": "map", "num_predictions": 44, "num_ground_truth": 44, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6941938400268555, "attempts": 1, "retries": 0, "total_seconds": 34.7248}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 121, "image": "GP010255_JPG_jpg.rf.a9c124de642391662cf0875377214d1e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [95, 345, 245, 557], \"label\": \"carrot\"},\n {\"box_2d\": [66, 521, 167, 780], \"label\": \"carrot\"},\n {\"box_2d\": [127, 511, 200, 766], \"label\": \"carrot\"},\n {\"box_2d\": [138, 281, 287, 417], \"label\": \"carrot\"},\n {\"box_2d\": [176, 378, 299, 620], \"label\": \"carrot\"},\n {\"box_2d\": [210, 315, 341, 391], \"label\": \"carrot\"},\n {\"box_2d\": [188, 595, 342, 777], \"label\": \"carrot\"},\n {\"box_2d\": [273, 427, 417, 616], \"label\": \"carrot\"},\n {\"box_2d\": [242, 343, 434, 442], \"label\": \"carrot\"},\n {\"box_2d\": [314, 305, 490, 366], \"label\": \"carrot\"},\n {\"box_2d\": [309, 646, 463, 791], \"label\": \"carrot\"},\n {\"box_2d\": [444, 279, 709, 342], \"label\": \"carrot\"},\n {\"box_2d\": [437, 329, 480, 518], \"label\": \"carrot\"},\n {\"box_2d\": [463, 377, 617, 472], \"label\": \"carrot\"},\n {\"box_2d\": [497, 369, 704, 461], \"label\": \"carrot\"},\n {\"box_2d\": [382, 515, 633, 571], \"label\": \"carrot\"},\n {\"box_2d\": [518, 467, 718, 519], \"label\": \"carrot\"},\n {\"box_2d\": [573, 491, 764, 588], \"label\": \"carrot\"},\n {\"box_2d\": [492, 556, 728, 634], \"label\": \"carrot\"},\n {\"box_2d\": [461, 627, 675, 687], \"label\": \"carrot\"},\n {\"box_2d\": [462, 685, 694, 763], \"label\": \"carrot\"},\n {\"box_2d\": [666, 634, 813, 795], \"label\": \"carrot\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 1781, "elapsed_seconds": 16.116234040935524, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 16.1417}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 122, "image": "20210325_203749_jpg.rf.1705fa1e1420cef9584e0f51c930586c.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [200, 135, 405, 349], \"label\": \"50 euro cent coin\"},\n {\"box_2d\": [135, 425, 327, 620], \"label\": \"1 euro coin\"},\n {\"box_2d\": [159, 683, 323, 852], \"label\": \"10 euro cent coin\"},\n {\"box_2d\": [365, 481, 505, 620], \"label\": \"1 euro cent coin\"},\n {\"box_2d\": [440, 228, 603, 394], \"label\": \"2 euro cent coin\"},\n {\"box_2d\": [384, 749, 563, 933], \"label\": \"5 euro cent coin\"},\n {\"box_2d\": [612, 417, 804, 609], \"label\": \"20 euro cent coin\"},\n {\"box_2d\": [611, 634, 835, 858], \"label\": \"2 euro coin\"}\n]\n```", "correct": true, "input_tokens": 1272, "output_tokens": 1050, "elapsed_seconds": 9.903608500026166, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 9.9157}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 123, "image": "53_jpeg_jpg.rf.827706d6e6ec3d14c5952c8d4c752e99.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [90, 380, 206, 491], \"label\": \"potato\"},\n {\"box_2d\": [130, 956, 250, 1000], \"label\": \"potato\"},\n {\"box_2d\": [313, 847, 427, 952], \"label\": \"potato\"},\n {\"box_2d\": [490, 574, 621, 690], \"label\": \"potato\"},\n {\"box_2d\": [519, 698, 624, 801], \"label\": \"potato\"},\n {\"box_2d\": [512, 844, 623, 949], \"label\": \"potato\"},\n {\"box_2d\": [711, 67, 800, 194], \"label\": \"potato\"},\n {\"box_2d\": [714, 415, 856, 501], \"label\": \"potato\"},\n {\"box_2d\": [720, 625, 822, 718], \"label\": \"potato\"},\n {\"box_2d\": [716, 890, 804, 970], \"label\": \"potato\"},\n {\"box_2d\": [919, 13, 1000, 109], \"label\": \"potato\"},\n {\"box_2d\": [923, 437, 1000, 527], \"label\": \"potato\"},\n {\"box_2d\": [921, 676, 1000, 771], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1240, "output_tokens": 1282, "elapsed_seconds": 12.575614166096784, "metadata": {"match_method": "map", "num_predictions": 13, "num_ground_truth": 13, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 12.6075}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 124, "image": "car-part-detection_Car-damages-1749_png_jpg.rf.841bd72a48ea0726dc55d3cf93207af1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [434, 74, 548, 127], \"label\": \"tail light\"},\n {\"box_2d\": [562, 58, 726, 133], \"label\": \"back bumper\"},\n {\"box_2d\": [278, 198, 724, 465], \"label\": \"back door\"},\n {\"box_2d\": [280, 448, 724, 742], \"label\": \"front door\"},\n {\"box_2d\": [407, 673, 470, 712], \"label\": \"mirror\"},\n {\"box_2d\": [402, 740, 466, 923], \"label\": \"hood\"},\n {\"box_2d\": [573, 895, 712, 988], \"label\": \"front bumper\"},\n {\"box_2d\": [284, 452, 461, 685], \"label\": \"front window\"},\n {\"box_2d\": [282, 204, 443, 435], \"label\": \"back window\"}\n]\n```", "correct": false, "input_tokens": 1246, "output_tokens": 954, "elapsed_seconds": 11.489487666985951, "metadata": {"match_method": "map", "num_predictions": 9, "num_ground_truth": 13, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5420791506767273, "attempts": 1, "retries": 0, "total_seconds": 11.515}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 125, "image": "1704196661687_jpg.rf.15374227e4fbd79145880dc340991d51.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [75, 450, 173, 522], \"label\": \"bean grain\"},\n {\"box_2d\": [111, 583, 198, 678], \"label\": \"bean grain\"},\n {\"box_2d\": [200, 141, 286, 214], \"label\": \"bean grain\"},\n {\"box_2d\": [188, 305, 297, 380], \"label\": \"bean grain\"},\n {\"box_2d\": [216, 534, 298, 642], \"label\": \"bean grain\"},\n {\"box_2d\": [189, 816, 272, 911], \"label\": \"bean grain\"},\n {\"box_2d\": [373, 134, 447, 241], \"label\": \"bean grain\"},\n {\"box_2d\": [455, 381, 539, 480], \"label\": \"bean grain\"},\n {\"box_2d\": [386, 716, 495, 795], \"label\": \"bean grain\"},\n {\"box_2d\": [609, 158, 694, 269], \"label\": \"bean grain\"},\n {\"box_2d\": [645, 403, 714, 502], \"label\": \"bean grain\"},\n {\"box_2d\": [547, 562, 625, 666], \"label\": \"bean grain\"},\n {\"box_2d\": [538, 858, 612, 964], \"label\": \"bean grain\"},\n {\"box_2d\": [638, 762, 703, 864], \"label\": \"bean grain\"},\n {\"box_2d\": [802, 342, 891, 439], \"label\": \"bean grain\"},\n {\"box_2d\": [753, 558, 844, 650], \"label\": \"bean grain\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 1607, "elapsed_seconds": 14.591197750065476, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 14.6046}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 126, "image": "fall-detection_13_mp4-274_jpg.rf.81d37af519564fd17e00cbdde20bedcf.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [385, 472, 433, 539], \"label\": \"fallen person\"},\n {\"box_2d\": [386, 534, 446, 629], \"label\": \"fallen person\"},\n {\"box_2d\": [424, 592, 472, 725], \"label\": \"fallen person\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 516, "elapsed_seconds": 6.865173666039482, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 6.8761}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 127, "image": "tile_672_jpg.rf.563bc07bfb63272303ba7c8beec3dfd0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [22, 441, 79, 472], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [219, 712, 260, 736], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [332, 829, 355, 850], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [374, 334, 395, 366], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [436, 682, 472, 704], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [469, 828, 521, 862], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [514, 366, 539, 389], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [608, 425, 628, 449], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [602, 690, 628, 706], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [690, 824, 734, 858], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [875, 848, 921, 874], \"label\": \"ship in SAR satellite image\"}\n]\n```", "correct": true, "input_tokens": 1229, "output_tokens": 1479, "elapsed_seconds": 16.863286875071935, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9108911156654358, "attempts": 1, "retries": 0, "total_seconds": 16.8934}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 128, "image": "Screenshot-2024-05-16-150353_png.rf.28f931ef1556f4fbfc5b8964a85b5e08.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [18, 35, 53, 66], \"label\": \"bullet hole\"},\n {\"box_2d\": [61, 154, 95, 182], \"label\": \"bullet hole\"},\n {\"box_2d\": [106, 80, 141, 112], \"label\": \"bullet hole\"},\n {\"box_2d\": [205, 11, 244, 43], \"label\": \"bullet hole\"},\n {\"box_2d\": [204, 161, 240, 194], \"label\": \"bullet hole\"},\n {\"box_2d\": [299, 68, 335, 102], \"label\": \"bullet hole\"},\n {\"box_2d\": [375, 1, 409, 32], \"label\": \"bullet hole\"},\n {\"box_2d\": [431, 83, 463, 115], \"label\": \"bullet hole\"},\n {\"box_2d\": [510, 56, 543, 88], \"label\": \"bullet hole\"},\n {\"box_2d\": [326, 224, 360, 255], \"label\": \"bullet hole\"},\n {\"box_2d\": [251, 282, 286, 316], \"label\": \"bullet hole\"},\n {\"box_2d\": [388, 255, 422, 287], \"label\": \"bullet hole\"},\n {\"box_2d\": [460, 301, 493, 332], \"label\": \"bullet hole\"},\n {\"box_2d\": [70, 336, 104, 367], \"label\": \"bullet hole\"},\n {\"box_2d\": [29, 414, 62, 446], \"label\": \"bullet hole\"},\n {\"box_2d\": [194, 375, 226, 405], \"label\": \"bullet hole\"},\n {\"box_2d\": [180, 467, 214, 499], \"label\": \"bullet hole\"},\n {\"box_2d\": [81, 598, 113, 629], \"label\": \"bullet hole\"},\n {\"box_2d\": [111, 763, 144, 795], \"label\": \"bullet hole\"},\n {\"box_2d\": [123, 895, 157, 926], \"label\": \"bullet hole\"},\n {\"box_2d\": [338, 764, 369, 794], \"label\": \"bullet hole\"},\n {\"box_2d\": [431, 620, 462, 654], \"label\": \"bullet hole\"},\n {\"box_2d\": [587, 673, 621, 704], \"label\": \"bullet hole\"},\n {\"box_2d\": [550, 799, 579, 829], \"label\": \"bullet hole\"},\n {\"box_2d\": [734, 646, 766, 677], \"label\": \"bullet hole\"},\n {\"box_2d\": [795, 760, 827, 790], \"label\": \"bullet hole\"},\n {\"box_2d\": [711, 315, 738, 345], \"label\": \"bullet hole\"},\n {\"box_2d\": [709, 151, 745, 182], \"label\": \"bullet hole\"},\n {\"box_2d\": [811, 108, 845, 138], \"label\": \"bullet hole\"},\n {\"box_2d\": [826, 184, 859, 213], \"label\": \"bullet hole\"},\n {\"box_2d\": [809, 321, 839, 352], \"label\": \"bullet hole\"},\n {\"box_2d\": [918, 176, 947, 206], \"label\": \"bullet hole\"}\n]\n```", "correct": false, "input_tokens": 1222, "output_tokens": 2426, "elapsed_seconds": 22.580181916011497, "metadata": {"match_method": "map", "num_predictions": 32, "num_ground_truth": 34, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5034178495407104, "attempts": 1, "retries": 0, "total_seconds": 22.5932}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 129, "image": "9999942_00000_d_0000179_jpg.rf.00eabf74c1cd10c40aa228a466f9fe04.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [359, 15, 412, 59], \"label\": \"car\"},\n {\"box_2d\": [364, 57, 416, 100], \"label\": \"car\"},\n {\"box_2d\": [343, 0, 396, 22], \"label\": \"car\"},\n {\"box_2d\": [334, 138, 391, 171], \"label\": \"van\"},\n {\"box_2d\": [329, 187, 381, 223], \"label\": \"car\"},\n {\"box_2d\": [334, 250, 369, 299], \"label\": \"car\"},\n {\"box_2d\": [302, 277, 330, 325], \"label\": \"car\"},\n {\"box_2d\": [299, 378, 329, 424], \"label\": \"car\"},\n {\"box_2d\": [375, 372, 408, 421], \"label\": \"car\"},\n {\"box_2d\": [433, 355, 469, 409], \"label\": \"car\"},\n {\"box_2d\": [465, 345, 504, 399], \"label\": \"car\"},\n {\"box_2d\": [612, 130, 661, 199], \"label\": \"car\"},\n {\"box_2d\": [653, 112, 706, 178], \"label\": \"car\"},\n {\"box_2d\": [720, 256, 745, 274], \"label\": \"person\"},\n {\"box_2d\": [80, 393, 103, 422], \"label\": \"car\"},\n {\"box_2d\": [306, 681, 342, 720], \"label\": \"car\"},\n {\"box_2d\": [175, 833, 273, 877], \"label\": \"bus\"},\n {\"box_2d\": [40, 763, 101, 785], \"label\": \"bus\"},\n {\"box_2d\": [327, 969, 366, 996], \"label\": \"car\"},\n {\"box_2d\": [113, 976, 148, 999], \"label\": \"van\"},\n {\"box_2d\": [74, 936, 130, 966], \"label\": \"truck\"},\n {\"box_2d\": [49, 912, 68, 927], \"label\": \"car\"},\n {\"box_2d\": [249, 810, 270, 819], \"label\": \"person\"}\n]\n```", "correct": false, "input_tokens": 1217, "output_tokens": 1983, "elapsed_seconds": 19.06120837503113, "metadata": {"match_method": "map", "num_predictions": 23, "num_ground_truth": 36, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3781839609146118, "attempts": 1, "retries": 0, "total_seconds": 19.1302}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 130, "image": "125_jpg.rf.c69f3d1b75a33297315d1889af6311e9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [508, 151, 632, 187], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [349, 267, 391, 305], \"label\": \"resistor symbol\"},\n {\"box_2d\": [529, 372, 690, 395], \"label\": \"resistor symbol\"},\n {\"box_2d\": [345, 463, 387, 509], \"label\": \"resistor symbol\"},\n {\"box_2d\": [552, 635, 720, 658], \"label\": \"resistor symbol\"},\n {\"box_2d\": [356, 720, 406, 773], \"label\": \"resistor symbol\"},\n {\"box_2d\": [146, 734, 249, 783], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [517, 839, 644, 861], \"label\": \"resistor symbol\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 997, "elapsed_seconds": 10.493217209004797, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 10.4986}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 131, "image": "IMG_20250815_164311_jpg.rf.83efd32a603d001fd15e3979d744bb04.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [551, 184, 616, 260], \"label\": \"barcode\"},\n {\"box_2d\": [628, 694, 697, 771], \"label\": \"barcode\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 375, "elapsed_seconds": 9.994687667000107, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 10.314}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 132, "image": "Container-259_jpg.rf.0707fcc208504e8c70d360815ec87ed2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [236, 582, 293, 731], \"label\": \"shipping container number\"},\n {\"box_2d\": [289, 580, 321, 639], \"label\": \"container ISO type code\"}\n]\n```", "correct": true, "input_tokens": 1232, "output_tokens": 402, "elapsed_seconds": 5.433989749988541, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 5.4508}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 133, "image": "1704195139360_jpg.rf.325f2c91dbc2bf8869d0a95b29652b2f.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [119, 738, 161, 783], \"label\": \"lentil grain\"},\n {\"box_2d\": [205, 436, 250, 484], \"label\": \"lentil grain\"},\n {\"box_2d\": [303, 822, 341, 869], \"label\": \"lentil grain\"},\n {\"box_2d\": [309, 750, 348, 792], \"label\": \"lentil grain\"},\n {\"box_2d\": [336, 562, 373, 606], \"label\": \"lentil grain\"},\n {\"box_2d\": [412, 252, 455, 297], \"label\": \"lentil grain\"},\n {\"box_2d\": [470, 614, 509, 655], \"label\": \"lentil grain\"},\n {\"box_2d\": [533, 862, 575, 909], \"label\": \"lentil grain\"},\n {\"box_2d\": [555, 431, 592, 475], \"label\": \"lentil grain\"},\n {\"box_2d\": [614, 614, 655, 661], \"label\": \"lentil grain\"},\n {\"box_2d\": [630, 534, 672, 578], \"label\": \"lentil grain\"},\n {\"box_2d\": [750, 742, 792, 794], \"label\": \"lentil grain\"},\n {\"box_2d\": [795, 434, 836, 481], \"label\": \"lentil grain\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 1133, "elapsed_seconds": 11.6660453339573, "metadata": {"match_method": "map", "num_predictions": 13, "num_ground_truth": 13, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 11.6848}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 134, "image": "IMG_20250815_165037_jpg.rf.d4afcf541c2eaa2a500b0fc3e74f380a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [121, 265, 212, 312], \"label\": \"barcode\"},\n {\"box_2d\": [301, 427, 342, 471], \"label\": \"barcode\"},\n {\"box_2d\": [272, 566, 310, 608], \"label\": \"barcode\"},\n {\"box_2d\": [279, 843, 360, 882], \"label\": \"barcode\"},\n {\"box_2d\": [795, 220, 889, 268], \"label\": \"barcode\"},\n {\"box_2d\": [810, 429, 898, 474], \"label\": \"barcode\"},\n {\"box_2d\": [803, 664, 890, 706], \"label\": \"barcode\"},\n {\"box_2d\": [760, 823, 798, 860], \"label\": \"barcode\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 1074, "elapsed_seconds": 16.158290833001956, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 16.4329}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 135, "image": "frame_0213_jpg.rf.a492e6ad2bcd535fad151a853f122d53.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [77, 126, 144, 168], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [86, 253, 149, 291], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [171, 231, 235, 273], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [164, 348, 229, 387], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [49, 411, 111, 451], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [188, 455, 247, 490], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [271, 442, 335, 477], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [103, 553, 169, 587], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [60, 618, 118, 652], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [211, 547, 271, 581], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [282, 544, 341, 580], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [419, 547, 485, 583], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [421, 466, 485, 506], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [425, 233, 496, 274], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [535, 364, 612, 408], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [622, 361, 697, 405], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [633, 241, 706, 283], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [736, 348, 825, 395], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [708, 451, 792, 495], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [833, 469, 914, 512], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [676, 553, 748, 611], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [556, 561, 628, 605], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [543, 668, 610, 708], \"label\": \"garlic on conveyor\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 2917, "elapsed_seconds": 25.841695750015788, "metadata": {"match_method": "map", "num_predictions": 23, "num_ground_truth": 23, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 25.9322}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 136, "image": "1668147836__jpg.rf.c1a720811dddd913a56ced8dd87e3a53.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [51, 362, 109, 389], \"label\": \"three die\"},\n {\"box_2d\": [46, 714, 108, 745], \"label\": \"five die\"},\n {\"box_2d\": [243, 141, 309, 178], \"label\": \"two die\"},\n {\"box_2d\": [245, 179, 300, 208], \"label\": \"one die\"},\n {\"box_2d\": [274, 283, 329, 311], \"label\": \"four die\"},\n {\"box_2d\": [232, 409, 288, 437], \"label\": \"two die\"},\n {\"box_2d\": [259, 565, 325, 599], \"label\": \"five die\"},\n {\"box_2d\": [213, 741, 274, 773], \"label\": \"three die\"},\n {\"box_2d\": [339, 480, 396, 509], \"label\": \"six die\"},\n {\"box_2d\": [313, 526, 378, 560], \"label\": \"five die\"},\n {\"box_2d\": [344, 564, 398, 592], \"label\": \"three die\"},\n {\"box_2d\": [399, 569, 459, 601], \"label\": \"one die\"},\n {\"box_2d\": [372, 657, 427, 686], \"label\": \"one die\"},\n {\"box_2d\": [340, 731, 405, 767], \"label\": \"four die\"},\n {\"box_2d\": [403, 350, 456, 377], \"label\": \"four die\"},\n {\"box_2d\": [427, 379, 486, 411], \"label\": \"five die\"},\n {\"box_2d\": [461, 315, 524, 349], \"label\": \"five die\"},\n {\"box_2d\": [467, 568, 523, 597], \"label\": \"three die\"},\n {\"box_2d\": [428, 798, 485, 830], \"label\": \"six die\"},\n {\"box_2d\": [433, 827, 496, 860], \"label\": \"three die\"},\n {\"box_2d\": [493, 148, 553, 181], \"label\": \"five die\"},\n {\"box_2d\": [523, 274, 581, 304], \"label\": \"five die\"},\n {\"box_2d\": [567, 283, 626, 315], \"label\": \"five die\"},\n {\"box_2d\": [583, 349, 637, 378], \"label\": \"three die\"},\n {\"box_2d\": [532, 458, 596, 492], \"label\": \"six die\"},\n {\"box_2d\": [536, 628, 591, 657], \"label\": \"four die\"},\n {\"box_2d\": [604, 568, 658, 597], \"label\": \"five die\"},\n {\"box_2d\": [545, 847, 607, 882], \"label\": \"one die\"},\n {\"box_2d\": [559, 902, 620, 938], \"label\": \"two die\"},\n {\"box_2d\": [618, 139, 680, 174], \"label\": \"five die\"},\n {\"box_2d\": [647, 190, 704, 223], \"label\": \"six die\"},\n {\"box_2d\": [660, 274, 715, 305], \"label\": \"five die\"},\n {\"box_2d\": [711, 277, 761, 305], \"label\": \"six die\"},\n {\"box_2d\": [758, 183, 821, 217], \"label\": \"five die\"},\n {\"box_2d\": [725, 210, 787, 245], \"label\": \"five die\"},\n {\"box_2d\": [732, 244, 788, 274], \"label\": \"two die\"},\n {\"box_2d\": [758, 271, 811, 301], \"label\": \"five die\"},\n {\"box_2d\": [811, 241, 870, 274], \"label\": \"six die\"},\n {\"box_2d\": [784, 300, 840, 330], \"label\": \"five die\"},\n {\"box_2d\": [633, 436, 697, 471], \"label\": \"four die\"},\n {\"box_2d\": [734, 463, 793, 494], \"label\": \"four die\"},\n {\"box_2d\": [696, 509, 750, 537], \"label\": \"six die\"},\n {\"box_2d\": [894, 404, 956, 438], \"label\": \"one die\"},\n {\"box_2d\": [642, 761, 695, 790], \"label\": \"six die\"},\n {\"box_2d\": [748, 718, 811, 752], \"label\": \"three die\"},\n {\"box_2d\": [756, 793, 815, 826], \"label\": \"five die\"},\n {\"box_2d\": [723, 825, 781, 858], \"label\": \"four die\"},\n {\"box_2d\": [799, 823, 853, 854], \"label\": \"two die\"},\n {\"box_2d\": [804, 909, 859, 942], \"label\": \"two die\"},\n {\"box_2d\": [912, 777, 962, 806], \"label\": \"two die\"}\n]\n```", "correct": false, "input_tokens": 1252, "output_tokens": 4470, "elapsed_seconds": 37.10707149992231, "metadata": {"match_method": "map", "num_predictions": 50, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6555816531181335, "attempts": 1, "retries": 0, "total_seconds": 37.1509}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 137, "image": "Lego_170_high_jpeg.rf.173b945a080a292465fe84cab83086af.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [116, 95, 215, 207], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [86, 238, 152, 341], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [149, 306, 206, 393], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [195, 84, 281, 182], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [195, 148, 269, 253], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [251, 155, 314, 264], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [364, 36, 444, 137], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [393, 102, 479, 198], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [331, 297, 377, 400], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [225, 497, 330, 599], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [260, 575, 344, 650], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [398, 378, 492, 425], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [380, 427, 452, 526], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [472, 391, 556, 480], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [473, 464, 567, 545], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [521, 256, 592, 361], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [547, 346, 623, 458], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [590, 319, 666, 430], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [618, 415, 688, 501], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [636, 102, 695, 195], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [647, 217, 745, 291], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [653, 253, 725, 341], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [695, 281, 764, 384], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [716, 423, 801, 499], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [696, 474, 756, 578], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [749, 496, 847, 566], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [116, 735, 174, 832], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [118, 878, 162, 974], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [176, 813, 268, 917], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [335, 752, 410, 838], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [408, 769, 487, 833], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [485, 710, 581, 768], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [538, 756, 639, 825], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [585, 928, 665, 991], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [711, 700, 797, 780], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [668, 780, 766, 834], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [670, 825, 740, 906], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [734, 826, 810, 892], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [702, 896, 785, 961], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [804, 813, 883, 898], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [850, 797, 929, 880], \"label\": \"lego 3x2 brick\"}\n]\n```", "correct": true, "input_tokens": 1244, "output_tokens": 4094, "elapsed_seconds": 33.467396249994636, "metadata": {"match_method": "map", "num_predictions": 41, "num_ground_truth": 42, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9603960514068604, "attempts": 1, "retries": 0, "total_seconds": 33.5321}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 138, "image": "DJI_0290_JPG_jpg.rf.052c45a410708d5965bfee1fe9dd1918.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [485, 369, 588, 483], \"label\": \"excavator\"},\n {\"box_2d\": [318, 194, 372, 245], \"label\": \"excavator\"},\n {\"box_2d\": [288, 417, 362, 489], \"label\": \"concrete mixer\"},\n {\"box_2d\": [133, 217, 173, 251], \"label\": \"concrete mixer\"},\n {\"box_2d\": [198, 302, 249, 348], \"label\": \"dump truck\"},\n {\"box_2d\": [449, 835, 529, 932], \"label\": \"dump truck\"},\n {\"box_2d\": [40, 0, 1000, 165], \"label\": \"tower crane\"}\n]\n```", "correct": true, "input_tokens": 1209, "output_tokens": 1031, "elapsed_seconds": 51.44135629211087, "metadata": {"match_method": "map", "num_predictions": 7, "num_ground_truth": 6, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 52.2595}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 139, "image": "oil-tank-detection_oiltank_165_jpg.rf.7a5e38aa38fc11f1234038d454ec044d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [579, 13, 710, 123], \"label\": \"oil tank\"},\n {\"box_2d\": [576, 130, 709, 239], \"label\": \"oil tank\"},\n {\"box_2d\": [574, 245, 706, 355], \"label\": \"oil tank\"},\n {\"box_2d\": [553, 359, 699, 479], \"label\": \"oil tank\"},\n {\"box_2d\": [550, 489, 696, 608], \"label\": \"oil tank\"},\n {\"box_2d\": [546, 616, 694, 737], \"label\": \"oil tank\"},\n {\"box_2d\": [541, 743, 691, 868], \"label\": \"oil tank\"},\n {\"box_2d\": [719, 12, 855, 123], \"label\": \"oil tank\"},\n {\"box_2d\": [715, 130, 853, 241], \"label\": \"oil tank\"},\n {\"box_2d\": [712, 246, 850, 356], \"label\": \"oil tank\"},\n {\"box_2d\": [708, 363, 860, 487], \"label\": \"oil tank\"},\n {\"box_2d\": [706, 492, 859, 615], \"label\": \"oil tank\"},\n {\"box_2d\": [702, 620, 855, 744], \"label\": \"oil tank\"},\n {\"box_2d\": [699, 750, 851, 875], \"label\": \"oil tank\"}\n]\n```", "correct": true, "input_tokens": 1217, "output_tokens": 1413, "elapsed_seconds": 12.857598125003278, "metadata": {"match_method": "map", "num_predictions": 14, "num_ground_truth": 14, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 12.9185}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 140, "image": "img268_png.rf.77932c9124f7e63f288e2be4179d983b.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [30, 389, 111, 457], \"label\": \"and gate symbol\"},\n {\"box_2d\": [78, 250, 111, 298], \"label\": \"not gate symbol\"},\n {\"box_2d\": [80, 546, 161, 615], \"label\": \"and gate symbol\"},\n {\"box_2d\": [154, 409, 187, 457], \"label\": \"not gate symbol\"},\n {\"box_2d\": [153, 702, 236, 773], \"label\": \"or gate symbol\"},\n {\"box_2d\": [228, 547, 309, 615], \"label\": \"and gate symbol\"},\n {\"box_2d\": [278, 410, 311, 457], \"label\": \"not gate symbol\"},\n {\"box_2d\": [277, 860, 360, 931], \"label\": \"or gate symbol\"},\n {\"box_2d\": [353, 547, 434, 615], \"label\": \"and gate symbol\"},\n {\"box_2d\": [403, 704, 484, 774], \"label\": \"and gate symbol\"},\n {\"box_2d\": [477, 567, 510, 616], \"label\": \"not gate symbol\"},\n {\"box_2d\": [551, 250, 586, 299], \"label\": \"not gate symbol\"},\n {\"box_2d\": [551, 388, 634, 457], \"label\": \"and gate symbol\"},\n {\"box_2d\": [626, 250, 661, 299], \"label\": \"not gate symbol\"},\n {\"box_2d\": [601, 547, 683, 615], \"label\": \"and gate symbol\"},\n {\"box_2d\": [650, 702, 733, 773], \"label\": \"or gate symbol\"},\n {\"box_2d\": [723, 410, 761, 457], \"label\": \"not gate symbol\"},\n {\"box_2d\": [724, 547, 807, 615], \"label\": \"and gate symbol\"},\n {\"box_2d\": [750, 860, 833, 931], \"label\": \"or gate symbol\"},\n {\"box_2d\": [849, 410, 886, 457], \"label\": \"not gate symbol\"},\n {\"box_2d\": [850, 546, 931, 615], \"label\": \"and gate symbol\"},\n {\"box_2d\": [876, 704, 956, 774], \"label\": \"and gate symbol\"}\n]\n```", "correct": true, "input_tokens": 1231, "output_tokens": 2267, "elapsed_seconds": 23.96614291705191, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 23.9786}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 141, "image": "170211-2-h_JPG_jpg.rf.4b0d2b71f289bdb00cd0502c7a7a2a5d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [245, 464, 930, 567], \"label\": \"insulator flashover\"}\n]\n```", "correct": false, "input_tokens": 1218, "output_tokens": 571, "elapsed_seconds": 17.506046124966815, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 17.987}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 142, "image": "floorplan-windows-doors_10361_png.rf.0282a156e3e18e32c9b31eca83a8df92.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [90, 121, 152, 198], \"label\": \"door\"},\n {\"box_2d\": [150, 767, 203, 820], \"label\": \"door\"},\n {\"box_2d\": [286, 769, 342, 825], \"label\": \"door\"},\n {\"box_2d\": [357, 704, 412, 767], \"label\": \"door\"},\n {\"box_2d\": [482, 591, 538, 655], \"label\": \"door\"},\n {\"box_2d\": [545, 721, 603, 785], \"label\": \"door\"},\n {\"box_2d\": [549, 476, 606, 540], \"label\": \"door\"},\n {\"box_2d\": [612, 476, 670, 540], \"label\": \"door\"},\n {\"box_2d\": [728, 589, 792, 658], \"label\": \"door\"},\n {\"box_2d\": [869, 588, 941, 658], \"label\": \"door\"},\n {\"box_2d\": [188, 175, 286, 199], \"label\": \"window\"},\n {\"box_2d\": [313, 174, 410, 199], \"label\": \"window\"},\n {\"box_2d\": [436, 174, 534, 199], \"label\": \"window\"},\n {\"box_2d\": [636, 174, 735, 199], \"label\": \"window\"},\n {\"box_2d\": [867, 290, 890, 396], \"label\": \"window\"},\n {\"box_2d\": [869, 778, 892, 886], \"label\": \"window\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 1985, "elapsed_seconds": 16.051788458018564, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 16.1179}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 143, "image": "IMG_0588_jpeg.rf.ff3a785b0ac1ba5a56ab8eed6ca615a1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [34, 573, 95, 647], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [247, 549, 314, 628], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [238, 742, 316, 818], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [378, 481, 475, 533], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [440, 629, 513, 703], \"label\": \"caramel corn jelly bean\"},\n {\"box_2d\": [619, 554, 718, 603], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [628, 735, 735, 785], \"label\": \"mixed berry smoothie jelly bean\"}\n]\n```", "correct": true, "input_tokens": 1219, "output_tokens": 810, "elapsed_seconds": 9.204063915996812, "metadata": {"match_method": "map", "num_predictions": 7, "num_ground_truth": 7, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 9.2427}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 144, "image": "signatures_image_100_png_jpg.rf.1b732e075f2453b4400e76d3923fe526.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [322, 73, 396, 434], \"label\": \"signature\"},\n {\"box_2d\": [345, 526, 390, 892], \"label\": \"signature\"},\n {\"box_2d\": [463, 125, 543, 451], \"label\": \"signature\"},\n {\"box_2d\": [450, 555, 517, 822], \"label\": \"signature\"},\n {\"box_2d\": [584, 108, 641, 429], \"label\": \"signature\"}\n]\n```", "correct": true, "input_tokens": 1200, "output_tokens": 541, "elapsed_seconds": 5.823297041933984, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 5.8318}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 145, "image": "paper-parts_8548_70_jpg.rf.61a39e9181e5ebef57cae728c932b730.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [99, 200, 394, 825], \"label\": \"figure\"},\n {\"box_2d\": [400, 117, 431, 882], \"label\": \"figure caption\"},\n {\"box_2d\": [481, 117, 512, 882], \"label\": \"table caption\"},\n {\"box_2d\": [529, 108, 583, 891], \"label\": \"table\"},\n {\"box_2d\": [633, 118, 654, 312], \"label\": \"subsection\"},\n {\"box_2d\": [674, 117, 725, 883], \"label\": \"paragraph\"},\n {\"box_2d\": [741, 305, 759, 882], \"label\": \"equation\"},\n {\"box_2d\": [778, 117, 881, 883], \"label\": \"paragraph\"},\n {\"box_2d\": [900, 490, 913, 509], \"label\": \"page number\"}\n]\n```", "correct": true, "input_tokens": 1255, "output_tokens": 1028, "elapsed_seconds": 14.148624749970622, "metadata": {"match_method": "map", "num_predictions": 9, "num_ground_truth": 9, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8749998807907104, "attempts": 1, "retries": 0, "total_seconds": 14.1869}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 146, "image": "19_jpeg_jpg.rf.34c89435b5ff9122cacb0cab18a49f99.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [32, 19, 126, 105], \"label\": \"potato\"},\n {\"box_2d\": [219, 0, 314, 83], \"label\": \"potato\"},\n {\"box_2d\": [403, 64, 500, 154], \"label\": \"potato\"},\n {\"box_2d\": [602, 57, 711, 178], \"label\": \"potato\"},\n {\"box_2d\": [789, 34, 902, 144], \"label\": \"potato\"},\n {\"box_2d\": [7, 331, 98, 429], \"label\": \"potato\"},\n {\"box_2d\": [184, 277, 297, 357], \"label\": \"potato\"},\n {\"box_2d\": [188, 395, 294, 478], \"label\": \"potato\"},\n {\"box_2d\": [403, 327, 507, 414], \"label\": \"potato\"},\n {\"box_2d\": [397, 488, 513, 570], \"label\": \"potato\"},\n {\"box_2d\": [196, 548, 307, 667], \"label\": \"potato\"},\n {\"box_2d\": [827, 486, 932, 583], \"label\": \"potato\"},\n {\"box_2d\": [21, 783, 132, 895], \"label\": \"potato\"},\n {\"box_2d\": [215, 790, 320, 902], \"label\": \"potato\"},\n {\"box_2d\": [393, 709, 526, 795], \"label\": \"potato\"},\n {\"box_2d\": [607, 780, 716, 866], \"label\": \"potato\"},\n {\"box_2d\": [842, 933, 952, 1000], \"label\": \"potato\"},\n {\"box_2d\": [355, 980, 500, 1000], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1240, "output_tokens": 1849, "elapsed_seconds": 17.002460249932483, "metadata": {"match_method": "map", "num_predictions": 18, "num_ground_truth": 18, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9405940771102905, "attempts": 1, "retries": 0, "total_seconds": 17.0404}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 147, "image": "f12_jpg.rf.fa104f4d104f326761c5485949eec7bb.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [318, 232, 610, 381], \"label\": \"wildfire\"},\n {\"box_2d\": [313, 594, 562, 796], \"label\": \"wildfire\"},\n {\"box_2d\": [715, 94, 935, 421], \"label\": \"wildfire\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 1340, "elapsed_seconds": 17.632720415946096, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 17.7268}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 148, "image": "f36_jpg.rf.8c77ed13627d4f4c8abf32c1c7573442.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 64, 591, 309], \"label\": \"wildfire\"},\n {\"box_2d\": [0, 651, 418, 836], \"label\": \"wildfire\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 2094, "elapsed_seconds": 28.225044875056483, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 28.315}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 149, "image": "46_jpg.rf.ed53b85cf8112394121da4a88ce9efc4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [574, 151, 722, 214], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [531, 301, 650, 325], \"label\": \"resistor symbol\"},\n {\"box_2d\": [375, 378, 429, 439], \"label\": \"resistor symbol\"},\n {\"box_2d\": [169, 470, 303, 533], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [573, 465, 716, 521], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [381, 560, 439, 638], \"label\": \"resistor symbol\"},\n {\"box_2d\": [531, 668, 691, 695], \"label\": \"resistor symbol\"},\n {\"box_2d\": [606, 809, 727, 860], \"label\": \"dc current source symbol\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 1150, "elapsed_seconds": 11.756790208048187, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 11.8345}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 150, "image": "Lego_131_low_jpeg.rf.be14ef4b77b52f77c1ed45c59ee5b3a4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 730, 68, 796], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [41, 440, 138, 550], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [64, 616, 152, 694], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [150, 622, 236, 694], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [125, 275, 213, 391], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [144, 146, 217, 251], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [187, 32, 287, 149], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [247, 229, 336, 317], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [225, 309, 305, 424], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [273, 507, 353, 597], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [250, 652, 325, 745], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [182, 930, 285, 985], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [372, 267, 466, 330], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [436, 281, 538, 357], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [515, 161, 598, 263], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [518, 331, 598, 405], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [449, 527, 494, 628], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [353, 685, 449, 746], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [373, 728, 476, 807], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [467, 747, 569, 833], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [441, 800, 543, 892], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [532, 819, 600, 898], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [456, 946, 545, 1000], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [636, 191, 703, 297], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [696, 171, 765, 278], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [597, 368, 662, 458], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [658, 342, 717, 449], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [713, 388, 793, 469], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [681, 440, 766, 525], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [812, 261, 906, 372], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [788, 424, 866, 515], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [745, 597, 833, 678], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [813, 730, 880, 825], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [754, 787, 859, 882], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [686, 916, 786, 998], \"label\": \"lego 4x1 brick\"}\n]\n```", "correct": true, "input_tokens": 1244, "output_tokens": 3137, "elapsed_seconds": 25.356505166972056, "metadata": {"match_method": "map", "num_predictions": 35, "num_ground_truth": 35, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9007131457328796, "attempts": 1, "retries": 0, "total_seconds": 25.4213}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 151, "image": "IMG_6677_jpeg_jpg.rf.66bd4292eb85ae8da61a8cef3e3384f8.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [373, 30, 459, 245], \"label\": \"green poker chip\"},\n {\"box_2d\": [401, 54, 476, 256], \"label\": \"green poker chip\"},\n {\"box_2d\": [422, 54, 495, 261], \"label\": \"green poker chip\"},\n {\"box_2d\": [451, 50, 509, 255], \"label\": \"green poker chip\"},\n {\"box_2d\": [466, 51, 524, 254], \"label\": \"green poker chip\"},\n {\"box_2d\": [479, 52, 540, 254], \"label\": \"green poker chip\"},\n {\"box_2d\": [494, 53, 558, 254], \"label\": \"green poker chip\"},\n {\"box_2d\": [510, 53, 575, 254], \"label\": \"green poker chip\"},\n {\"box_2d\": [525, 56, 591, 253], \"label\": \"green poker chip\"},\n {\"box_2d\": [544, 53, 610, 249], \"label\": \"green poker chip\"},\n {\"box_2d\": [368, 290, 455, 489], \"label\": \"orange poker chip\"},\n {\"box_2d\": [420, 296, 474, 490], \"label\": \"orange poker chip\"},\n {\"box_2d\": [437, 295, 492, 491], \"label\": \"orange poker chip\"},\n {\"box_2d\": [460, 296, 511, 488], \"label\": \"orange poker chip\"},\n {\"box_2d\": [477, 296, 528, 488], \"label\": \"orange poker chip\"},\n {\"box_2d\": [492, 295, 545, 484], \"label\": \"orange poker chip\"},\n {\"box_2d\": [508, 297, 562, 484], \"label\": \"orange poker chip\"},\n {\"box_2d\": [522, 299, 578, 485], \"label\": \"orange poker chip\"},\n {\"box_2d\": [533, 311, 606, 492], \"label\": \"orange poker chip\"},\n {\"box_2d\": [460, 531, 559, 720], \"label\": \"orange poker chip\"},\n {\"box_2d\": [499, 524, 581, 710], \"label\": \"orange poker chip\"},\n {\"box_2d\": [530, 521, 613, 715], \"label\": \"orange poker chip\"},\n {\"box_2d\": [449, 709, 540, 902], \"label\": \"green poker chip\"},\n {\"box_2d\": [503, 719, 579, 922], \"label\": \"green poker chip\"},\n {\"box_2d\": [525, 727, 602, 934], \"label\": \"green poker chip\"}\n]\n```", "correct": true, "input_tokens": 1231, "output_tokens": 3385, "elapsed_seconds": 26.82146849995479, "metadata": {"match_method": "map", "num_predictions": 25, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9603960514068604, "attempts": 1, "retries": 0, "total_seconds": 26.841}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 152, "image": "indir-1-_jpeg_jpg.rf.8d614705afcf35f2ac222aa7d9e608ff.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [428, 155, 514, 290], \"label\": \"dimension annotation\"},\n {\"box_2d\": [445, 626, 502, 728], \"label\": \"dimension annotation\"},\n {\"box_2d\": [564, 156, 646, 307], \"label\": \"dimension annotation\"},\n {\"box_2d\": [610, 653, 660, 750], \"label\": \"dimension annotation\"},\n {\"box_2d\": [669, 336, 701, 534], \"label\": \"dimension annotation\"},\n {\"box_2d\": [749, 197, 796, 272], \"label\": \"dimension annotation\"},\n {\"box_2d\": [760, 138, 799, 189], \"label\": \"dimension annotation\"},\n {\"box_2d\": [766, 610, 797, 676], \"label\": \"dimension annotation\"},\n {\"box_2d\": [725, 598, 758, 762], \"label\": \"dimension annotation\"},\n {\"box_2d\": [775, 667, 818, 726], \"label\": \"dimension annotation\"},\n {\"box_2d\": [796, 684, 825, 762], \"label\": \"dimension annotation\"},\n {\"box_2d\": [725, 598, 826, 811], \"label\": \"dimension annotation\"},\n {\"box_2d\": [825, 314, 869, 434], \"label\": \"dimension annotation\"},\n {\"box_2d\": [825, 626, 869, 754], \"label\": \"dimension annotation\"},\n {\"box_2d\": [914, 208, 984, 976], \"label\": \"technical drawing table\"}\n]\n```", "correct": false, "input_tokens": 1233, "output_tokens": 1945, "elapsed_seconds": 18.30602395790629, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.4999999403953552, "attempts": 1, "retries": 0, "total_seconds": 18.3163}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 153, "image": "1217_4_jpg.rf.834d702ab7cd425111d5c60612f66627.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [8, 36, 108, 130], \"label\": \"black rook\"},\n {\"box_2d\": [26, 133, 120, 240], \"label\": \"black knight\"},\n {\"box_2d\": [16, 285, 118, 375], \"label\": \"black bishop\"},\n {\"box_2d\": [0, 404, 122, 493], \"label\": \"black king\"},\n {\"box_2d\": [0, 526, 121, 613], \"label\": \"black queen\"},\n {\"box_2d\": [27, 654, 128, 745], \"label\": \"black bishop\"},\n {\"box_2d\": [6, 770, 114, 879], \"label\": \"black knight\"},\n {\"box_2d\": [14, 898, 114, 1000], \"label\": \"black rook\"},\n {\"box_2d\": [163, 35, 236, 113], \"label\": \"black pawn\"},\n {\"box_2d\": [163, 181, 236, 253], \"label\": \"black pawn\"},\n {\"box_2d\": [160, 285, 233, 357], \"label\": \"black pawn\"},\n {\"box_2d\": [172, 412, 246, 483], \"label\": \"black pawn\"},\n {\"box_2d\": [169, 545, 242, 617], \"label\": \"black pawn\"},\n {\"box_2d\": [166, 651, 239, 723], \"label\": \"black pawn\"},\n {\"box_2d\": [161, 763, 235, 836], \"label\": \"black pawn\"},\n {\"box_2d\": [150, 891, 224, 972], \"label\": \"black pawn\"},\n {\"box_2d\": [772, 16, 845, 96], \"label\": \"white pawn\"},\n {\"box_2d\": [772, 159, 845, 231], \"label\": \"white pawn\"},\n {\"box_2d\": [767, 279, 839, 351], \"label\": \"white pawn\"},\n {\"box_2d\": [770, 396, 842, 468], \"label\": \"white pawn\"},\n {\"box_2d\": [759, 498, 831, 570], \"label\": \"white pawn\"},\n {\"box_2d\": [773, 652, 846, 724], \"label\": \"white pawn\"},\n {\"box_2d\": [757, 773, 830, 847], \"label\": \"white pawn\"},\n {\"box_2d\": [756, 876, 829, 956], \"label\": \"white pawn\"},\n {\"box_2d\": [881, 13, 978, 108], \"label\": \"white rook\"},\n {\"box_2d\": [891, 124, 987, 232], \"label\": \"white knight\"},\n {\"box_2d\": [887, 276, 991, 366], \"label\": \"white bishop\"},\n {\"box_2d\": [872, 389, 996, 478], \"label\": \"white king\"},\n {\"box_2d\": [879, 515, 999, 601], \"label\": \"white queen\"},\n {\"box_2d\": [874, 635, 975, 725], \"label\": \"white bishop\"},\n {\"box_2d\": [892, 763, 983, 868], \"label\": \"white knight\"},\n {\"box_2d\": [877, 887, 976, 990], \"label\": \"white rook\"}\n]\n```", "correct": true, "input_tokens": 1259, "output_tokens": 2634, "elapsed_seconds": 24.57869929098524, "metadata": {"match_method": "map", "num_predictions": 32, "num_ground_truth": 32, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 24.7653}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 154, "image": "123_jpg.rf.dd57cefde1b1d657a6704903a0c29594.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [171, 325, 200, 376], \"label\": \"resistor symbol\"},\n {\"box_2d\": [161, 622, 191, 686], \"label\": \"resistor symbol\"},\n {\"box_2d\": [274, 208, 349, 244], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [266, 440, 336, 474], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [229, 805, 323, 849], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [457, 325, 488, 375], \"label\": \"resistor symbol\"},\n {\"box_2d\": [447, 656, 480, 703], \"label\": \"resistor symbol\"},\n {\"box_2d\": [612, 214, 686, 237], \"label\": \"resistor symbol\"},\n {\"box_2d\": [639, 447, 721, 494], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [595, 831, 667, 851], \"label\": \"resistor symbol\"},\n {\"box_2d\": [819, 312, 902, 359], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [830, 621, 860, 678], \"label\": \"resistor symbol\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 1564, "elapsed_seconds": 13.106585375033319, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 13.1201}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 155, "image": "Container_799_jpg.rf.18c1df3db98a6063d7285fb7c0ffd780.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [148, 307, 566, 328], \"label\": \"shipping container number\"},\n {\"box_2d\": [137, 352, 287, 365], \"label\": \"container ISO type code\"},\n {\"box_2d\": [225, 805, 266, 945], \"label\": \"shipping container number\"},\n {\"box_2d\": [271, 865, 303, 904], \"label\": \"container ISO type code\"}\n]\n```", "correct": true, "input_tokens": 1232, "output_tokens": 605, "elapsed_seconds": 6.492965166922659, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 6.5101}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 156, "image": "08fd33_0_1_png_jpg.rf.49b1ec7a3f580266e0267dce06883980.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [461, 148, 505, 159], \"label\": \"goalkeeper\"},\n {\"box_2d\": [415, 250, 451, 260], \"label\": \"player\"},\n {\"box_2d\": [607, 340, 618, 346], \"label\": \"football\"},\n {\"box_2d\": [342, 438, 370, 448], \"label\": \"player\"},\n {\"box_2d\": [526, 408, 562, 422], \"label\": \"player\"},\n {\"box_2d\": [480, 431, 527, 443], \"label\": \"player\"},\n {\"box_2d\": [614, 429, 663, 442], \"label\": \"player\"},\n {\"box_2d\": [375, 488, 409, 498], \"label\": \"referee\"},\n {\"box_2d\": [442, 491, 479, 503], \"label\": \"player\"},\n {\"box_2d\": [396, 508, 431, 518], \"label\": \"player\"},\n {\"box_2d\": [373, 532, 404, 542], \"label\": \"player\"},\n {\"box_2d\": [400, 606, 435, 616], \"label\": \"player\"},\n {\"box_2d\": [352, 626, 382, 636], \"label\": \"player\"},\n {\"box_2d\": [370, 630, 402, 640], \"label\": \"player\"},\n {\"box_2d\": [416, 624, 451, 635], \"label\": \"player\"},\n {\"box_2d\": [450, 616, 490, 626], \"label\": \"player\"},\n {\"box_2d\": [503, 627, 545, 638], \"label\": \"player\"},\n {\"box_2d\": [418, 646, 456, 657], \"label\": \"player\"},\n {\"box_2d\": [388, 661, 421, 670], \"label\": \"player\"},\n {\"box_2d\": [465, 706, 510, 720], \"label\": \"player\"},\n {\"box_2d\": [602, 679, 653, 694], \"label\": \"player\"},\n {\"box_2d\": [573, 774, 613, 787], \"label\": \"player\"},\n {\"box_2d\": [631, 837, 681, 850], \"label\": \"player\"},\n {\"box_2d\": [648, 827, 700, 842], \"label\": \"referee\"},\n {\"box_2d\": [405, 905, 444, 918], \"label\": \"goalkeeper\"}\n]\n```", "correct": true, "input_tokens": 1242, "output_tokens": 2319, "elapsed_seconds": 24.04636304092128, "metadata": {"match_method": "map", "num_predictions": 25, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9158415794372559, "attempts": 1, "retries": 0, "total_seconds": 24.1357}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 157, "image": "Lego_122_low_jpeg.rf.ea0402c215977271fc16971fe6cad37a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [77, 192, 155, 309], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [138, 363, 248, 443], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [188, 466, 286, 577], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [214, 591, 314, 649], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [99, 652, 212, 749], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [59, 777, 156, 861], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [96, 833, 200, 937], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [268, 315, 355, 408], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [347, 320, 445, 385], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [341, 182, 438, 261], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [378, 54, 461, 161], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [508, 135, 600, 253], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [338, 471, 444, 555], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [373, 681, 463, 767], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [333, 747, 439, 829], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [325, 938, 426, 999], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [551, 537, 642, 626], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [554, 628, 628, 713], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [608, 689, 691, 741], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [628, 403, 709, 480], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [709, 390, 814, 480], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [709, 452, 797, 537], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [784, 187, 871, 286], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [749, 549, 828, 608], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [636, 738, 708, 843], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [692, 780, 786, 851], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [680, 826, 767, 932], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [600, 913, 677, 966], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [778, 873, 862, 934], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [760, 945, 858, 1000], \"label\": \"lego 4x1 brick\"}\n]\n```", "correct": true, "input_tokens": 1244, "output_tokens": 2811, "elapsed_seconds": 24.51362320804037, "metadata": {"match_method": "map", "num_predictions": 30, "num_ground_truth": 30, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 24.571}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 158, "image": "20230220_110126_jpg.rf.9dd19de1f35f973245770a80a67f5a86.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [466, 36, 495, 131], \"label\": \"crack\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 270, "elapsed_seconds": 5.408002374926582, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 5.4287}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 159, "image": "20230224_102553_jpg.rf.405f8900643fe92cf5dde61e03ca7cd9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [602, 817, 686, 905], \"label\": \"crack\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 315, "elapsed_seconds": 5.491987082990818, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 5.5132}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 160, "image": "40_jpg.rf.9c5565949caf7c10eef3c765c461dcc3.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [34, 161, 355, 219], \"label\": \"blood sample tube\"},\n {\"box_2d\": [205, 167, 514, 263], \"label\": \"blood sample tube\"},\n {\"box_2d\": [388, 155, 694, 276], \"label\": \"blood sample tube\"},\n {\"box_2d\": [152, 257, 464, 336], \"label\": \"blood sample tube\"},\n {\"box_2d\": [36, 315, 159, 550], \"label\": \"blood sample tube\"},\n {\"box_2d\": [27, 502, 92, 740], \"label\": \"blood sample tube\"},\n {\"box_2d\": [83, 594, 159, 845], \"label\": \"blood sample tube\"},\n {\"box_2d\": [143, 478, 468, 533], \"label\": \"blood sample tube\"},\n {\"box_2d\": [142, 533, 444, 667], \"label\": \"blood sample tube\"},\n {\"box_2d\": [393, 371, 569, 596], \"label\": \"blood sample tube\"},\n {\"box_2d\": [195, 583, 434, 790], \"label\": \"blood sample tube\"},\n {\"box_2d\": [385, 550, 505, 795], \"label\": \"blood sample tube\"},\n {\"box_2d\": [425, 592, 549, 839], \"label\": \"blood sample tube\"},\n {\"box_2d\": [70, 838, 398, 895], \"label\": \"blood sample tube\"},\n {\"box_2d\": [143, 886, 472, 938], \"label\": \"blood sample tube\"},\n {\"box_2d\": [263, 767, 557, 926], \"label\": \"blood sample tube\"},\n {\"box_2d\": [517, 688, 650, 943], \"label\": \"blood sample tube\"},\n {\"box_2d\": [560, 665, 709, 912], \"label\": \"blood sample tube\"},\n {\"box_2d\": [600, 616, 738, 855], \"label\": \"blood sample tube\"},\n {\"box_2d\": [612, 480, 732, 728], \"label\": \"blood sample tube\"},\n {\"box_2d\": [674, 492, 741, 738], \"label\": \"blood sample tube\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 2545, "elapsed_seconds": 19.42203845793847, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 21, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 19.4459}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 161, "image": "car-part-detection_Car-damages-765_png_jpg.rf.98f80e9f33638af692acb0b18adddcfd.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [128, 300, 344, 679], \"label\": \"windshield\"},\n {\"box_2d\": [253, 396, 549, 912], \"label\": \"hood\"},\n {\"box_2d\": [505, 504, 628, 744], \"label\": \"headlight\"},\n {\"box_2d\": [295, 212, 353, 323], \"label\": \"mirror\"},\n {\"box_2d\": [144, 211, 328, 321], \"label\": \"front window\"},\n {\"box_2d\": [140, 142, 286, 218], \"label\": \"back window\"},\n {\"box_2d\": [140, 193, 607, 339], \"label\": \"front door\"},\n {\"box_2d\": [140, 114, 500, 221], \"label\": \"back door\"},\n {\"box_2d\": [433, 514, 895, 935], \"label\": \"front bumper\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 1235, "elapsed_seconds": 14.089121833909303, "metadata": {"match_method": "map", "num_predictions": 9, "num_ground_truth": 13, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7281727194786072, "attempts": 1, "retries": 0, "total_seconds": 14.1018}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 162, "image": "frame_0089_jpg.rf.c7cd5f3b9d3ee6d5f30b8357b148d8d4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [236, 326, 279, 351], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [247, 381, 294, 408], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [257, 441, 303, 469], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [280, 501, 326, 529], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [338, 312, 384, 339], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [350, 369, 400, 398], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [362, 430, 411, 459], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [381, 492, 432, 521], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [444, 305, 491, 333], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [461, 363, 512, 392], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [472, 424, 524, 454], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [496, 488, 545, 516], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [918, 291, 966, 317], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [931, 353, 978, 380], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [942, 415, 991, 442], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [950, 481, 996, 508], \"label\": \"soda bottle cap\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 1551, "elapsed_seconds": 19.118650416028686, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 19.4955}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 163, "image": "IMG_5103_JPG.rf.05aa0caa3f6431dd232e7223cc79a35a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [596, 271, 650, 297], \"label\": \"face\"},\n {\"box_2d\": [644, 323, 691, 350], \"label\": \"face\"},\n {\"box_2d\": [694, 398, 748, 428], \"label\": \"face\"},\n {\"box_2d\": [358, 353, 384, 366], \"label\": \"face\"},\n {\"box_2d\": [361, 386, 386, 398], \"label\": \"face\"},\n {\"box_2d\": [368, 403, 396, 417], \"label\": \"face\"},\n {\"box_2d\": [419, 540, 447, 554], \"label\": \"face\"},\n {\"box_2d\": [427, 575, 455, 589], \"label\": \"face\"},\n {\"box_2d\": [440, 619, 469, 634], \"label\": \"face\"},\n {\"box_2d\": [458, 771, 487, 785], \"label\": \"face\"},\n {\"box_2d\": [436, 714, 463, 728], \"label\": \"face\"},\n {\"box_2d\": [427, 688, 456, 702], \"label\": \"face\"},\n {\"box_2d\": [419, 646, 447, 661], \"label\": \"face\"},\n {\"box_2d\": [397, 605, 423, 619], \"label\": \"face\"},\n {\"box_2d\": [392, 558, 418, 573], \"label\": \"face\"},\n {\"box_2d\": [373, 601, 397, 615], \"label\": \"face\"},\n {\"box_2d\": [373, 626, 398, 640], \"label\": \"face\"},\n {\"box_2d\": [383, 666, 409, 680], \"label\": \"face\"},\n {\"box_2d\": [329, 501, 353, 513], \"label\": \"face\"},\n {\"box_2d\": [328, 472, 352, 485], \"label\": \"face\"},\n {\"box_2d\": [344, 618, 368, 631], \"label\": \"face\"},\n {\"box_2d\": [345, 651, 370, 665], \"label\": \"face\"},\n {\"box_2d\": [364, 678, 389, 691], \"label\": \"face\"},\n {\"box_2d\": [370, 714, 394, 727], \"label\": \"face\"},\n {\"box_2d\": [326, 662, 351, 675], \"label\": \"face\"},\n {\"box_2d\": [335, 698, 359, 710], \"label\": \"face\"},\n {\"box_2d\": [323, 633, 346, 645], \"label\": \"face\"},\n {\"box_2d\": [300, 609, 323, 621], \"label\": \"face\"},\n {\"box_2d\": [298, 551, 321, 563], \"label\": \"face\"},\n {\"box_2d\": [286, 420, 309, 431], \"label\": \"face\"},\n {\"box_2d\": [289, 441, 311, 452], \"label\": \"face\"},\n {\"box_2d\": [317, 405, 341, 419], \"label\": \"face\"},\n {\"box_2d\": [303, 498, 326, 510], \"label\": \"face\"},\n {\"box_2d\": [333, 755, 358, 767], \"label\": \"face\"},\n {\"box_2d\": [342, 764, 366, 776], \"label\": \"face\"},\n {\"box_2d\": [346, 724, 370, 737], \"label\": \"face\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 3120, "elapsed_seconds": 39.01527854206506, "metadata": {"match_method": "map", "num_predictions": 36, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.4630514979362488, "attempts": 1, "retries": 0, "total_seconds": 39.335}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 164, "image": "fall-detection_camerathree-second_mp4-114_jpg.rf.8d4ab219233d1b243e3602fc397d1bfa.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [581, 357, 666, 586],\n \"label\": \"fallen person\"\n}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 329, "elapsed_seconds": 4.948846957995556, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 4.9633}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 165, "image": "lot301_JPEG_jpg.rf.190ac2533508d09b091e542956d526a5.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [161, 424, 196, 461], \"label\": \"chicory seed\"},\n {\"box_2d\": [181, 343, 209, 384], \"label\": \"chicory seed\"},\n {\"box_2d\": [195, 369, 236, 396], \"label\": \"chicory seed\"},\n {\"box_2d\": [184, 439, 219, 479], \"label\": \"chicory seed\"},\n {\"box_2d\": [181, 466, 207, 509], \"label\": \"chicory seed\"},\n {\"box_2d\": [194, 498, 220, 539], \"label\": \"chicory seed\"},\n {\"box_2d\": [169, 583, 203, 620], \"label\": \"chicory seed\"},\n {\"box_2d\": [203, 567, 230, 610], \"label\": \"chicory seed\"},\n {\"box_2d\": [197, 621, 220, 665], \"label\": \"chicory seed\"},\n {\"box_2d\": [220, 532, 246, 573], \"label\": \"chicory seed\"},\n {\"box_2d\": [209, 341, 244, 381], \"label\": \"chicory seed\"},\n {\"box_2d\": [215, 291, 245, 336], \"label\": \"chicory seed\"},\n {\"box_2d\": [232, 300, 258, 349], \"label\": \"chicory seed\"},\n {\"box_2d\": [209, 405, 231, 449], \"label\": \"chicory seed\"},\n {\"box_2d\": [227, 392, 255, 433], \"label\": \"chicory seed\"},\n {\"box_2d\": [225, 430, 248, 473], \"label\": \"chicory seed\"},\n {\"box_2d\": [222, 467, 261, 498], \"label\": \"chicory seed\"},\n {\"box_2d\": [235, 491, 268, 531], \"label\": \"chicory seed\"},\n {\"box_2d\": [235, 550, 269, 591], \"label\": \"chicory seed\"},\n {\"box_2d\": [234, 581, 274, 614], \"label\": \"chicory seed\"},\n {\"box_2d\": [218, 608, 245, 653], \"label\": \"chicory seed\"},\n {\"box_2d\": [236, 639, 261, 681], \"label\": \"chicory seed\"},\n {\"box_2d\": [240, 620, 281, 646], \"label\": \"chicory seed\"},\n {\"box_2d\": [226, 682, 265, 718], \"label\": \"chicory seed\"},\n {\"box_2d\": [246, 714, 283, 752], \"label\": \"chicory seed\"},\n {\"box_2d\": [239, 259, 283, 289], \"label\": \"chicory seed\"},\n {\"box_2d\": [257, 286, 279, 330], \"label\": \"chicory seed\"},\n {\"box_2d\": [243, 332, 284, 363], \"label\": \"chicory seed\"},\n {\"box_2d\": [237, 373, 269, 415], \"label\": \"chicory seed\"},\n {\"box_2d\": [250, 359, 280, 397], \"label\": \"chicory seed\"},\n {\"box_2d\": [247, 422, 281, 463], \"label\": \"chicory seed\"},\n {\"box_2d\": [271, 221, 303, 263], \"label\": \"chicory seed\"},\n {\"box_2d\": [275, 271, 300, 317], \"label\": \"chicory seed\"},\n {\"box_2d\": [278, 316, 317, 340], \"label\": \"chicory seed\"},\n {\"box_2d\": [283, 338, 323, 363], \"label\": \"chicory seed\"},\n {\"box_2d\": [279, 360, 319, 386], \"label\": \"chicory seed\"},\n {\"box_2d\": [267, 386, 299, 426], \"label\": \"chicory seed\"},\n {\"box_2d\": [290, 379, 329, 404], \"label\": \"chicory seed\"},\n {\"box_2d\": [282, 404, 314, 447], \"label\": \"chicory seed\"},\n {\"box_2d\": [268, 445, 306, 470], \"label\": \"chicory seed\"},\n {\"box_2d\": [280, 469, 304, 507], \"label\": \"chicory seed\"},\n {\"box_2d\": [271, 507, 305, 546], \"label\": \"chicory seed\"},\n {\"box_2d\": [281, 537, 320, 569], \"label\": \"chicory seed\"},\n {\"box_2d\": [264, 566, 300, 601], \"label\": \"chicory seed\"},\n {\"box_2d\": [274, 597, 311, 635], \"label\": \"chicory seed\"},\n {\"box_2d\": [262, 656, 294, 700], \"label\": \"chicory seed\"},\n {\"box_2d\": [272, 645, 308, 684], \"label\": \"chicory seed\"},\n {\"box_2d\": [284, 706, 322, 735], \"label\": \"chicory seed\"},\n {\"box_2d\": [274, 728, 312, 751], \"label\": \"chicory seed\"},\n {\"box_2d\": [276, 747, 304, 787], \"label\": \"chicory seed\"},\n {\"box_2d\": [295, 694, 332, 724], \"label\": \"chicory seed\"},\n {\"box_2d\": [300, 193, 339, 226], \"label\": \"chicory seed\"},\n {\"box_2d\": [305, 214, 344, 248], \"label\": \"chicory seed\"},\n {\"box_2d\": [300, 250, 322, 294], \"label\": \"chicory seed\"},\n {\"box_2d\": [299, 288, 335, 325], \"label\": \"chicory seed\"},\n {\"box_2d\": [317, 336, 342, 377], \"label\": \"chicory seed\"},\n {\"box_2d\": [328, 350, 365, 389], \"label\": \"chicory seed\"},\n {\"box_2d\": [305, 406, 335, 449], \"label\": \"chicory seed\"},\n {\"box_2d\": [304, 447, 330, 492], \"label\": \"chicory seed\"},\n {\"box_2d\": [301, 494, 326, 537], \"label\": \"chicory seed\"},\n {\"box_2d\": [317, 514, 340, 558], \"label\": \"chicory seed\"},\n {\"box_2d\": [303, 562, 344, 588], \"label\": \"chicory seed\"},\n {\"box_2d\": [310, 585, 340, 626], \"label\": \"chicory seed\"},\n {\"box_2d\": [295, 616, 318, 661], \"label\": \"chicory seed\"},\n {\"box_2d\": [313, 655, 353, 688], \"label\": \"chicory seed\"},\n {\"box_2d\": [302, 747, 342, 773], \"label\": \"chicory seed\"},\n {\"box_2d\": [317, 734, 358, 761], \"label\": \"chicory seed\"},\n {\"box_2d\": [327, 770, 350, 815], \"label\": \"chicory seed\"},\n {\"box_2d\": [335, 709, 371, 743], \"label\": \"chicory seed\"},\n {\"box_2d\": [342, 691, 380, 727], \"label\": \"chicory seed\"},\n {\"box_2d\": [338, 185, 361, 230], \"label\": \"chicory seed\"},\n {\"box_2d\": [324, 239, 356, 279], \"label\": \"chicory seed\"},\n {\"box_2d\": [334, 270, 357, 312], \"label\": \"chicory seed\"},\n {\"box_2d\": [351, 205, 378, 254], \"label\": \"chicory seed\"},\n {\"box_2d\": [354, 257, 385, 299], \"label\": \"chicory seed\"},\n {\"box_2d\": [341, 426, 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\"label\": \"chicory seed\"},\n {\"box_2d\": [785, 329, 811, 377], \"label\": \"chicory seed\"},\n {\"box_2d\": [767, 364, 808, 396], \"label\": \"chicory seed\"},\n {\"box_2d\": [756, 410, 798, 440], \"label\": \"chicory seed\"},\n {\"box_2d\": [773, 392, 811, 433], \"label\": \"chicory seed\"},\n {\"box_2d\": [774, 440, 803, 484], \"label\": \"chicory seed\"},\n {\"box_2d\": [775, 478, 811, 513], \"label\": \"chicory seed\"},\n {\"box_2d\": [804, 357, 836, 402], \"label\": \"chicory seed\"},\n {\"box_2d\": [801, 393, 838, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [791, 434, 821, 477], \"label\": \"chicory seed\"},\n {\"box_2d\": [808, 431, 849, 457], \"label\": \"chicory seed\"},\n {\"box_2d\": [796, 480, 836, 514], \"label\": \"chicory seed\"},\n {\"box_2d\": [823, 454, 853, 497], \"label\": \"chicory seed\"},\n {\"box_2d\": [782, 529, 816, 569], \"label\": \"chicory seed\"},\n {\"box_2d\": [813, 529, 853, 555], \"label\": \"chicory seed\"},\n {\"box_2d\": [804, 547, 846, 575], \"label\": \"chicory seed\"},\n {\"box_2d\": [774, 593, 810, 635], \"label\": \"chicory seed\"},\n {\"box_2d\": [790, 577, 817, 623], \"label\": \"chicory seed\"},\n {\"box_2d\": [809, 593, 837, 639], \"label\": \"chicory seed\"},\n {\"box_2d\": [790, 638, 830, 676], \"label\": \"chicory seed\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 17900, "elapsed_seconds": 124.56412287498824, "metadata": {"match_method": "map", "num_predictions": 303, "num_ground_truth": 303, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3366336524486542, "attempts": 1, "retries": 0, "total_seconds": 124.7016}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 166, "image": "9pro_tire_2024-10-17_2_png_jpg.rf.4f51ee46ba892a991a30327b934d13a9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [73, 200, 182, 400], \"label\": \"tire size text\"},\n {\"box_2d\": [807, 674, 874, 759], \"label\": \"tire size text\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 396, "elapsed_seconds": 23.142416583024897, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 23.3618}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 167, "image": "2024-12-05T02-00-56-789Z-1004_jpg.rf.16e81306ce0ce847c1fdd836e6752b92.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [243, 0, 655, 159], \"label\": \"velcro cable tie\"},\n {\"box_2d\": [430, 868, 502, 926], \"label\": \"screw\"},\n {\"box_2d\": [648, 524, 686, 563], \"label\": \"screw\"},\n {\"box_2d\": [627, 148, 672, 181], \"label\": \"screw\"}\n]\n```", "correct": true, "input_tokens": 1204, "output_tokens": 861, "elapsed_seconds": 13.448347082943656, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 13.6575}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 168, "image": "45_png.rf.5c5cd31ecf12f414c9d6c446b6599fc0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [54, 240, 88, 299], \"label\": \"not gate symbol\"},\n {\"box_2d\": [89, 789, 138, 886], \"label\": \"or gate symbol\"},\n {\"box_2d\": [99, 425, 148, 524], \"label\": \"and gate symbol\"},\n {\"box_2d\": [298, 551, 359, 631], \"label\": \"and gate symbol\"},\n {\"box_2d\": [298, 668, 360, 747], \"label\": \"and gate symbol\"},\n {\"box_2d\": [372, 789, 420, 886], \"label\": \"or gate symbol\"},\n {\"box_2d\": [581, 574, 642, 654], \"label\": \"and gate symbol\"},\n {\"box_2d\": [581, 691, 642, 769], \"label\": \"and gate symbol\"},\n {\"box_2d\": [654, 811, 703, 909], \"label\": \"or gate symbol\"},\n {\"box_2d\": [872, 591, 932, 670], \"label\": \"and gate symbol\"},\n {\"box_2d\": [871, 707, 932, 786], \"label\": \"and gate symbol\"},\n {\"box_2d\": [941, 811, 989, 909], \"label\": \"or gate symbol\"}\n]\n```", "correct": true, "input_tokens": 1264, "output_tokens": 1325, "elapsed_seconds": 11.253745542024262, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 11.257}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 169, "image": "paper-parts_112786_53_jpg.rf.0483acf3782b23a87f49280c7a03b327.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [88, 175, 332, 669], \"label\": \"figure\"},\n {\"box_2d\": [371, 176, 424, 882], \"label\": \"figure caption\"},\n {\"box_2d\": [478, 176, 493, 207], \"label\": \"paragraph\"},\n {\"box_2d\": [523, 274, 550, 753], \"label\": \"equation\"},\n {\"box_2d\": [560, 274, 586, 711], \"label\": \"equation\"},\n {\"box_2d\": [596, 274, 623, 783], \"label\": \"equation\"},\n {\"box_2d\": [633, 274, 660, 734], \"label\": \"equation\"},\n {\"box_2d\": [669, 274, 696, 735], \"label\": \"equation\"},\n {\"box_2d\": [708, 274, 735, 529], \"label\": \"equation\"},\n {\"box_2d\": [755, 176, 869, 883], \"label\": \"paragraph\"},\n {\"box_2d\": [897, 519, 912, 539], \"label\": \"page number\"}\n]\n```", "correct": false, "input_tokens": 1248, "output_tokens": 1435, "elapsed_seconds": 16.7663587910356, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6504949927330017, "attempts": 1, "retries": 0, "total_seconds": 16.8013}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 170, "image": "signatures_image_21_png_jpg.rf.af64d00b20a92b8a4d92e9aefc5cd1f8.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [72, 216, 178, 359], \"label\": \"signature\"},\n {\"box_2d\": [302, 678, 393, 867], \"label\": \"signature\"},\n {\"box_2d\": [651, 511, 761, 730], \"label\": \"signature\"},\n {\"box_2d\": [832, 418, 945, 643], \"label\": \"signature\"},\n {\"box_2d\": [828, 651, 932, 843], \"label\": \"signature\"}\n]\n```", "correct": true, "input_tokens": 1252, "output_tokens": 863, "elapsed_seconds": 11.963341374997981, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.800000011920929, "attempts": 1, "retries": 0, "total_seconds": 12.053}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 171, "image": "1668146885__jpg.rf.3d8577f11d5831de64da2c2964b98050.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [52, 206, 98, 234], \"label\": \"four die\"},\n {\"box_2d\": [27, 353, 84, 386], \"label\": \"four die\"},\n {\"box_2d\": [142, 142, 193, 171], \"label\": \"two die\"},\n {\"box_2d\": [172, 224, 226, 256], \"label\": \"two die\"},\n {\"box_2d\": [327, 212, 386, 246], \"label\": \"five die\"},\n {\"box_2d\": [390, 138, 449, 171], \"label\": \"three die\"},\n {\"box_2d\": [377, 200, 434, 234], \"label\": \"six die\"},\n {\"box_2d\": [443, 214, 497, 248], \"label\": \"one die\"},\n {\"box_2d\": [380, 275, 438, 308], \"label\": \"four die\"},\n {\"box_2d\": [345, 317, 400, 349], \"label\": \"five die\"},\n {\"box_2d\": [516, 217, 571, 250], \"label\": \"three die\"},\n {\"box_2d\": [520, 272, 576, 306], \"label\": \"two die\"},\n {\"box_2d\": [627, 165, 676, 193], \"label\": \"two die\"},\n {\"box_2d\": [692, 225, 748, 257], \"label\": \"two die\"},\n {\"box_2d\": [729, 258, 785, 291], \"label\": \"four die\"},\n {\"box_2d\": [509, 467, 564, 500], \"label\": \"four die\"},\n {\"box_2d\": [596, 449, 643, 476], \"label\": \"two die\"},\n {\"box_2d\": [573, 495, 630, 528], \"label\": \"six die\"},\n {\"box_2d\": [623, 510, 681, 543], \"label\": \"four die\"},\n {\"box_2d\": [508, 537, 565, 570], \"label\": \"five die\"},\n {\"box_2d\": [555, 533, 610, 561], \"label\": \"two die\"},\n {\"box_2d\": [542, 559, 598, 591], \"label\": \"five die\"},\n {\"box_2d\": [616, 554, 670, 586], \"label\": \"two die\"},\n {\"box_2d\": [696, 584, 748, 613], \"label\": \"six die\"},\n {\"box_2d\": [448, 588, 498, 616], \"label\": \"three die\"},\n {\"box_2d\": [345, 544, 401, 576], \"label\": \"five die\"},\n {\"box_2d\": [304, 563, 351, 591], \"label\": \"six die\"},\n {\"box_2d\": [311, 597, 360, 623], \"label\": \"one die\"},\n {\"box_2d\": [194, 634, 253, 667], \"label\": \"six die\"},\n {\"box_2d\": [259, 633, 314, 665], \"label\": \"four die\"},\n {\"box_2d\": [291, 684, 348, 715], \"label\": \"four die\"},\n {\"box_2d\": [128, 710, 185, 743], \"label\": \"six die\"},\n {\"box_2d\": [106, 751, 163, 782], \"label\": \"three die\"},\n {\"box_2d\": [58, 790, 115, 821], \"label\": \"two die\"},\n {\"box_2d\": [374, 687, 431, 720], \"label\": \"three die\"},\n {\"box_2d\": [420, 661, 476, 692], \"label\": \"six die\"},\n {\"box_2d\": [474, 683, 532, 716], \"label\": \"three die\"},\n {\"box_2d\": [484, 715, 541, 748], \"label\": \"two die\"},\n {\"box_2d\": [297, 788, 355, 821], \"label\": \"three die\"},\n {\"box_2d\": [342, 778, 400, 811], \"label\": \"four die\"},\n {\"box_2d\": [209, 883, 263, 916], \"label\": \"five die\"},\n {\"box_2d\": [304, 917, 360, 950], \"label\": \"three die\"},\n {\"box_2d\": [540, 805, 585, 833], \"label\": \"six die\"},\n {\"box_2d\": [580, 828, 626, 856], \"label\": \"five die\"},\n {\"box_2d\": [612, 790, 657, 817], \"label\": \"six die\"},\n {\"box_2d\": [654, 711, 711, 744], \"label\": \"two die\"},\n {\"box_2d\": [680, 856, 728, 886], \"label\": \"six die\"}\n]\n```", "correct": true, "input_tokens": 1252, "output_tokens": 5456, "elapsed_seconds": 45.68736025004182, "metadata": {"match_method": "map", "num_predictions": 47, "num_ground_truth": 48, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8912462592124939, "attempts": 1, "retries": 0, "total_seconds": 45.7251}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 172, "image": "IMG_20220316_171754_jpg.rf.02842914dec30f998cea03868026b96a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [86, 193, 405, 487], \"label\": \"eight of clubs\"},\n {\"box_2d\": [284, 275, 646, 540], \"label\": \"seven of clubs\"},\n {\"box_2d\": [294, 421, 675, 740], \"label\": \"five of clubs\"},\n {\"box_2d\": [461, 517, 940, 925], \"label\": \"six of clubs\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 510, "elapsed_seconds": 6.4178117089904845, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 6.4444}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 173, "image": "39_jpg.rf.edb5339d00a37b75d6cf16c1f9a301ff.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [173, 165, 214, 206], \"label\": \"resistor symbol\"},\n {\"box_2d\": [149, 353, 198, 405], \"label\": \"resistor symbol\"},\n {\"box_2d\": [348, 271, 449, 287], \"label\": \"resistor symbol\"},\n {\"box_2d\": [354, 480, 449, 497], \"label\": \"resistor symbol\"},\n {\"box_2d\": [774, 326, 837, 400], \"label\": \"resistor symbol\"},\n {\"box_2d\": [320, 673, 421, 691], \"label\": \"resistor symbol\"},\n {\"box_2d\": [156, 767, 192, 811], \"label\": \"resistor symbol\"},\n {\"box_2d\": [434, 855, 543, 874], \"label\": \"resistor symbol\"},\n {\"box_2d\": [465, 61, 634, 126], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [119, 553, 211, 620], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [798, 272, 896, 299], \"label\": \"ground symbol\"}\n]\n```", "correct": true, "input_tokens": 1216, "output_tokens": 1404, "elapsed_seconds": 13.534872708027251, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 10, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 13.61}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 174, "image": "99FB9DDE-58F9-4BBA-8CC2-48146BC0EBC5_jpg.rf.1cef29e3b05e7507a4b618bd8b857503.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [190, 249, 252, 310], \"label\": \"pill\"},\n {\"box_2d\": [182, 442, 243, 503], \"label\": \"pill\"},\n {\"box_2d\": [293, 202, 353, 264], \"label\": \"pill\"},\n {\"box_2d\": [270, 328, 329, 388], \"label\": \"pill\"},\n {\"box_2d\": [278, 450, 337, 511], \"label\": \"pill\"},\n {\"box_2d\": [318, 408, 377, 468], \"label\": \"pill\"},\n {\"box_2d\": [333, 468, 392, 529], \"label\": \"pill\"},\n {\"box_2d\": [335, 283, 395, 344], \"label\": \"pill\"},\n {\"box_2d\": [353, 180, 412, 242], \"label\": \"pill\"},\n {\"box_2d\": [416, 134, 476, 196], \"label\": \"pill\"},\n {\"box_2d\": [418, 246, 478, 307], \"label\": \"pill\"},\n {\"box_2d\": [385, 311, 444, 372], \"label\": \"pill\"},\n {\"box_2d\": [376, 390, 435, 451], \"label\": \"pill\"},\n {\"box_2d\": [399, 476, 458, 536], \"label\": \"pill\"},\n {\"box_2d\": [387, 545, 446, 606], \"label\": \"pill\"},\n {\"box_2d\": [429, 612, 488, 673], \"label\": \"pill\"},\n {\"box_2d\": [403, 667, 464, 730], \"label\": \"pill\"},\n {\"box_2d\": [472, 303, 531, 364], \"label\": \"pill\"},\n {\"box_2d\": [444, 358, 504, 419], \"label\": \"pill\"},\n {\"box_2d\": [446, 439, 505, 500], \"label\": \"pill\"},\n {\"box_2d\": [450, 532, 509, 593], \"label\": \"pill\"},\n {\"box_2d\": [514, 344, 574, 405], \"label\": \"pill\"},\n {\"box_2d\": [504, 413, 563, 473], \"label\": \"pill\"},\n {\"box_2d\": [488, 485, 548, 546], \"label\": \"pill\"},\n {\"box_2d\": [507, 561, 568, 622], \"label\": \"pill\"},\n {\"box_2d\": [552, 466, 612, 527], \"label\": \"pill\"},\n {\"box_2d\": [562, 530, 623, 592], \"label\": \"pill\"},\n {\"box_2d\": [620, 198, 682, 263], \"label\": \"pill\"},\n {\"box_2d\": [601, 281, 663, 345], \"label\": \"pill\"},\n {\"box_2d\": [592, 365, 653, 427], \"label\": \"pill\"},\n {\"box_2d\": [612, 449, 673, 511], \"label\": \"pill\"},\n {\"box_2d\": [635, 539, 697, 601], \"label\": \"pill\"},\n {\"box_2d\": [685, 763, 749, 829], \"label\": \"pill\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 3128, "elapsed_seconds": 28.521885375026613, "metadata": {"match_method": "map", "num_predictions": 33, "num_ground_truth": 33, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 28.853}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 175, "image": "8a_tire_2024-10-17_62_png_jpg.rf.da90fbf7f0527f341a28f165c3e83dac.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [143, 345, 190, 438], \"label\": \"tire size text\"},\n {\"box_2d\": [459, 57, 661, 95], \"label\": \"tire size text\"},\n {\"box_2d\": [454, 913, 651, 948], \"label\": \"tire size text\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 941, "elapsed_seconds": 16.01769675000105, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 16.3885}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 176, "image": "frame_0002_03_jpg.rf.dda0be95dbf94773efee5983feb50582.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [464, 330, 523, 360], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [477, 398, 535, 430], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [484, 472, 541, 504], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [490, 545, 547, 578], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [589, 327, 650, 358], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [601, 396, 667, 429], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [609, 469, 673, 502], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [615, 541, 679, 576], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [713, 319, 773, 352], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [734, 387, 795, 421], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [740, 460, 801, 495], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [747, 534, 809, 569], \"label\": \"soda bottle cap\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 1338, "elapsed_seconds": 25.696021666983142, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 26.0844}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 177, "image": "f77_jpg.rf.82279850cbac861dc93376eb2c7be55d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 53, 444, 240], \"label\": \"wildfire\"},\n {\"box_2d\": [0, 746, 718, 1000], \"label\": \"wildfire\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 1595, "elapsed_seconds": 20.86920062499121, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 20.9591}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 178, "image": "1219_48_jpg.rf.d6aecd0b221112666e45beae667e3572.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 6, 121, 130], \"label\": \"white king\"},\n {\"box_2d\": [5, 384, 125, 472], \"label\": \"white queen\"},\n {\"box_2d\": [16, 889, 119, 996], \"label\": \"white bishop\"},\n {\"box_2d\": [142, 384, 236, 477], \"label\": \"white bishop\"},\n {\"box_2d\": [280, 648, 353, 720], \"label\": \"white pawn\"},\n {\"box_2d\": [398, 275, 487, 366], \"label\": \"black king\"},\n {\"box_2d\": [399, 519, 479, 601], \"label\": \"white rook\"},\n {\"box_2d\": [396, 769, 482, 879], \"label\": \"black queen\"},\n {\"box_2d\": [532, 146, 613, 236], \"label\": \"black rook\"},\n {\"box_2d\": [512, 270, 595, 357], \"label\": \"white knight\"},\n {\"box_2d\": [521, 637, 601, 736], \"label\": \"black knight\"},\n {\"box_2d\": [497, 770, 576, 864], \"label\": \"black rook\"},\n {\"box_2d\": [636, 6, 717, 118], \"label\": \"black knight\"},\n {\"box_2d\": [647, 526, 730, 620], \"label\": \"white knight\"},\n {\"box_2d\": [666, 750, 739, 827], \"label\": \"black pawn\"},\n {\"box_2d\": [748, 252, 839, 344], \"label\": \"black bishop\"},\n {\"box_2d\": [867, 274, 983, 368], \"label\": \"black queen\"}\n]\n```", "correct": true, "input_tokens": 1259, "output_tokens": 1605, "elapsed_seconds": 16.408691707998514, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 17, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 16.6004}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 179, "image": "f27_jpg.rf.b153b2c59a95b68f3f9edb924d42cee4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 15, 425, 398], \"label\": \"wildfire\"},\n {\"box_2d\": [347, 6, 947, 396], \"label\": \"wildfire\"},\n {\"box_2d\": [0, 598, 445, 898], \"label\": \"wildfire\"},\n {\"box_2d\": [463, 672, 744, 800], \"label\": \"wildfire\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 1465, "elapsed_seconds": 18.388681625016034, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 18.4804}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 180, "image": "img_461922717831528641_png.rf.c1eccbe6f38478b43fbba2e4cba33ac0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [58, 179, 165, 323], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [152, 169, 267, 320], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [253, 158, 376, 314], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [360, 144, 486, 307], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [475, 130, 601, 299], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [598, 113, 725, 293], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [724, 92, 864, 286], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [859, 77, 1000, 270], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [28, 320, 133, 456], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [121, 311, 231, 453], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [218, 304, 333, 451], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [320, 295, 444, 449], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [433, 289, 556, 446], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [552, 280, 675, 442], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [674, 270, 804, 437], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [803, 257, 956, 434], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [69, 444, 177, 584], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [165, 440, 276, 584], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [264, 439, 379, 587], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [368, 433, 488, 589], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [479, 432, 602, 591], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [598, 429, 722, 593], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [722, 426, 858, 596], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [854, 419, 1000, 596], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [36, 575, 143, 709], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [128, 571, 237, 714], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [224, 572, 340, 718], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [324, 572, 446, 726], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [434, 574, 556, 734], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [551, 572, 674, 742], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [673, 572, 802, 751], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [801, 576, 952, 761], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [80, 697, 187, 839], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [171, 698, 284, 847], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [269, 701, 388, 856], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [372, 706, 496, 869], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [484, 711, 606, 883], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [601, 716, 725, 901], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [724, 723, 859, 916], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [852, 739, 1000, 935], \"label\": \"empty portable gas cylinder\"}\n]\n```", "correct": false, "input_tokens": 1208, "output_tokens": 2921, "elapsed_seconds": 27.886526750051416, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 40, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.4101485311985016, "attempts": 1, "retries": 0, "total_seconds": 27.9623}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 181, "image": "20230113_134921_jpg.rf.98498c853848c0b93af6274d6758c4d5.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [519, 802, 539, 882], \"label\": \"crack\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 273, "elapsed_seconds": 5.667077249963768, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 5.6794}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 182, "image": "IMG_0618_jpeg.rf.efa7b9f1261718cff400e2cf104b3017.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [275, 459, 336, 527], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [356, 394, 431, 459], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [375, 238, 442, 307], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [497, 205, 589, 256], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [485, 344, 576, 408], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [612, 244, 682, 327], \"label\": \"peach jelly bean\"},\n {\"box_2d\": [615, 403, 714, 475], \"label\": \"peach jelly bean\"},\n {\"box_2d\": [434, 520, 517, 583], \"label\": \"caramel corn jelly bean\"},\n {\"box_2d\": [342, 577, 419, 626], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [451, 693, 523, 773], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [605, 626, 713, 682], \"label\": \"top banana jelly bean\"}\n]\n```", "correct": true, "input_tokens": 1230, "output_tokens": 2154, "elapsed_seconds": 19.49280533392448, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 19.5378}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 183, "image": "1668146875__jpg.rf.3051c36c0a756d3687be5c2fb0ad5141.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [99, 362, 160, 396], \"label\": \"six die\"},\n {\"box_2d\": [111, 405, 170, 437], \"label\": \"two die\"},\n {\"box_2d\": [180, 434, 240, 467], \"label\": \"six die\"},\n {\"box_2d\": [182, 388, 238, 419], \"label\": \"two die\"},\n {\"box_2d\": [199, 347, 259, 381], \"label\": \"four die\"},\n {\"box_2d\": [217, 296, 275, 329], \"label\": \"five die\"},\n {\"box_2d\": [230, 271, 289, 304], \"label\": \"six die\"},\n {\"box_2d\": [270, 300, 328, 333], \"label\": \"four die\"},\n {\"box_2d\": [302, 323, 353, 352], \"label\": \"four die\"},\n {\"box_2d\": [297, 348, 348, 376], \"label\": \"six die\"},\n {\"box_2d\": [292, 372, 341, 400], \"label\": \"three die\"},\n {\"box_2d\": [280, 395, 332, 424], \"label\": \"two die\"},\n {\"box_2d\": [340, 301, 388, 328], \"label\": \"five die\"},\n {\"box_2d\": [349, 336, 397, 364], \"label\": \"four die\"},\n {\"box_2d\": [338, 367, 388, 396], \"label\": \"four die\"},\n {\"box_2d\": [386, 311, 438, 340], \"label\": \"four die\"},\n {\"box_2d\": [411, 340, 468, 372], \"label\": \"two die\"},\n {\"box_2d\": [438, 218, 494, 251], \"label\": \"three die\"},\n {\"box_2d\": [573, 168, 622, 198], \"label\": \"four die\"},\n {\"box_2d\": [291, 516, 351, 550], \"label\": \"six die\"},\n {\"box_2d\": [361, 540, 417, 572], \"label\": \"two die\"},\n {\"box_2d\": [412, 492, 464, 522], \"label\": \"five die\"},\n {\"box_2d\": [512, 389, 571, 421], \"label\": \"four die\"},\n {\"box_2d\": [529, 450, 588, 483], \"label\": \"three die\"},\n {\"box_2d\": [588, 380, 644, 412], \"label\": \"two die\"},\n {\"box_2d\": [587, 530, 636, 558], \"label\": \"five die\"},\n {\"box_2d\": [640, 514, 696, 546], \"label\": \"two die\"},\n {\"box_2d\": [649, 471, 704, 502], \"label\": \"six die\"},\n {\"box_2d\": [682, 495, 740, 527], \"label\": \"six die\"},\n {\"box_2d\": [706, 441, 758, 471], \"label\": \"four die\"},\n {\"box_2d\": [757, 440, 804, 467], \"label\": \"five die\"},\n {\"box_2d\": [820, 425, 879, 459], \"label\": \"five die\"},\n {\"box_2d\": [847, 374, 900, 401], \"label\": \"six die\"},\n {\"box_2d\": [767, 324, 818, 353], \"label\": \"six die\"},\n {\"box_2d\": [816, 313, 868, 343], \"label\": \"five die\"},\n {\"box_2d\": [32, 673, 93, 707], \"label\": \"four die\"},\n {\"box_2d\": [148, 780, 197, 809], \"label\": \"three die\"},\n {\"box_2d\": [200, 764, 251, 794], \"label\": \"one die\"},\n {\"box_2d\": [256, 715, 312, 748], \"label\": \"three die\"},\n {\"box_2d\": [340, 683, 397, 715], \"label\": \"two die\"},\n {\"box_2d\": [398, 648, 444, 676], \"label\": \"four die\"},\n {\"box_2d\": [363, 772, 412, 802], \"label\": \"three die\"},\n {\"box_2d\": [393, 747, 451, 781], \"label\": \"two die\"},\n {\"box_2d\": [449, 756, 497, 785], \"label\": \"four die\"},\n {\"box_2d\": [496, 756, 545, 786], \"label\": \"four die\"},\n {\"box_2d\": [438, 807, 491, 839], \"label\": \"six die\"},\n {\"box_2d\": [665, 793, 722, 826], \"label\": \"three die\"}\n]\n```", "correct": false, "input_tokens": 1252, "output_tokens": 3714, "elapsed_seconds": 29.411202832940035, "metadata": {"match_method": "map", "num_predictions": 47, "num_ground_truth": 48, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7393034100532532, "attempts": 1, "retries": 0, "total_seconds": 29.4485}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 184, "image": "C440AC87-A6AC-47BA-9CB8-2E8D0B276501_jpg.rf.8b0f079f1f23f56b5c9934be046152df.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [163, 249, 239, 326], \"label\": \"pill\"},\n {\"box_2d\": [161, 369, 236, 443], \"label\": \"pill\"},\n {\"box_2d\": [228, 165, 306, 246], \"label\": \"pill\"},\n {\"box_2d\": [243, 305, 319, 383], \"label\": \"pill\"},\n {\"box_2d\": [327, 123, 405, 205], \"label\": \"pill\"},\n {\"box_2d\": [305, 273, 382, 353], \"label\": \"pill\"},\n {\"box_2d\": [357, 320, 434, 400], \"label\": \"pill\"},\n {\"box_2d\": [296, 456, 373, 533], \"label\": \"pill\"},\n {\"box_2d\": [291, 548, 365, 625], \"label\": \"pill\"},\n {\"box_2d\": [315, 616, 392, 694], \"label\": \"pill\"},\n {\"box_2d\": [306, 690, 383, 767], \"label\": \"pill\"},\n {\"box_2d\": [354, 406, 431, 483], \"label\": \"pill\"},\n {\"box_2d\": [361, 544, 437, 622], \"label\": \"pill\"},\n {\"box_2d\": [374, 704, 452, 785], \"label\": \"pill\"},\n {\"box_2d\": [414, 276, 493, 356], \"label\": \"pill\"},\n {\"box_2d\": [413, 363, 491, 443], \"label\": \"pill\"},\n {\"box_2d\": [438, 434, 517, 513], \"label\": \"pill\"},\n {\"box_2d\": [430, 522, 509, 601], \"label\": \"pill\"},\n {\"box_2d\": [430, 648, 509, 730], \"label\": \"pill\"},\n {\"box_2d\": [465, 162, 547, 246], \"label\": \"pill\"},\n {\"box_2d\": [480, 239, 561, 322], \"label\": \"pill\"},\n {\"box_2d\": [474, 320, 554, 402], \"label\": \"pill\"},\n {\"box_2d\": [508, 514, 589, 595], \"label\": \"pill\"},\n {\"box_2d\": [476, 583, 557, 663], \"label\": \"pill\"},\n {\"box_2d\": [543, 282, 626, 366], \"label\": \"pill\"},\n {\"box_2d\": [574, 354, 657, 438], \"label\": \"pill\"},\n {\"box_2d\": [602, 437, 686, 521], \"label\": \"pill\"},\n {\"box_2d\": [587, 520, 671, 604], \"label\": \"pill\"},\n {\"box_2d\": [580, 677, 664, 764], \"label\": \"pill\"},\n {\"box_2d\": [793, 59, 885, 154], \"label\": \"pill\"},\n {\"box_2d\": [701, 160, 790, 249], \"label\": \"pill\"},\n {\"box_2d\": [690, 245, 779, 333], \"label\": \"pill\"},\n {\"box_2d\": [780, 220, 872, 311], \"label\": \"pill\"},\n {\"box_2d\": [720, 320, 809, 408], \"label\": \"pill\"},\n {\"box_2d\": [722, 496, 811, 583], \"label\": \"pill\"},\n {\"box_2d\": [811, 479, 902, 569], \"label\": \"pill\"},\n {\"box_2d\": [772, 571, 864, 660], \"label\": \"pill\"},\n {\"box_2d\": [705, 619, 793, 707], \"label\": \"pill\"},\n {\"box_2d\": [698, 702, 787, 790], \"label\": \"pill\"},\n {\"box_2d\": [693, 785, 781, 872], \"label\": \"pill\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 3767, "elapsed_seconds": 30.054259291035123, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 40, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 30.4575}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 185, "image": "preannot3_62_png.rf.0c5f5d9500c1d4c579c64d746f68b358.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [25, 334, 34, 351], \"label\": \"tire spike normal\"},\n {\"box_2d\": [31, 645, 39, 662], \"label\": \"tire spike normal\"},\n {\"box_2d\": [70, 623, 81, 640], \"label\": \"tire spike normal\"},\n {\"box_2d\": [92, 300, 102, 319], \"label\": \"tire spike normal\"},\n {\"box_2d\": [110, 698, 120, 717], \"label\": \"tire spike normal\"},\n {\"box_2d\": [153, 240, 165, 259], \"label\": \"tire spike normal\"},\n {\"box_2d\": [182, 657, 195, 678], \"label\": \"tire spike normal\"},\n {\"box_2d\": [237, 305, 251, 326], \"label\": \"tire spike normal\"},\n {\"box_2d\": [255, 703, 269, 724], \"label\": \"tire spike normal\"},\n {\"box_2d\": [295, 244, 310, 267], \"label\": \"tire spike normal\"},\n {\"box_2d\": [323, 748, 338, 767], \"label\": \"tire spike absent\"},\n {\"box_2d\": [366, 203, 381, 224], \"label\": \"tire spike absent\"},\n {\"box_2d\": [396, 774, 411, 795], \"label\": \"tire spike normal\"},\n {\"box_2d\": [446, 223, 461, 245], \"label\": \"tire spike normal\"},\n {\"box_2d\": [507, 655, 523, 678], \"label\": \"tire spike normal\"},\n {\"box_2d\": [562, 328, 577, 351], \"label\": \"tire spike normal\"},\n {\"box_2d\": [574, 697, 589, 720], \"label\": \"tire spike normal\"},\n {\"box_2d\": [618, 270, 634, 293], \"label\": \"tire spike normal\"},\n {\"box_2d\": [679, 638, 694, 661], \"label\": \"tire spike normal\"},\n {\"box_2d\": [710, 316, 725, 339], \"label\": \"tire spike normal\"},\n {\"box_2d\": [710, 755, 725, 778], \"label\": \"tire spike normal\"},\n {\"box_2d\": [760, 246, 773, 269], \"label\": \"tire spike normal\"},\n {\"box_2d\": [803, 672, 816, 695], \"label\": \"tire spike normal\"},\n {\"box_2d\": [855, 722, 868, 742], \"label\": \"tire spike normal\"},\n {\"box_2d\": [900, 292, 912, 313], \"label\": \"tire spike normal\"},\n {\"box_2d\": [932, 642, 943, 661], \"label\": \"tire spike normal\"},\n {\"box_2d\": [942, 738, 952, 755], \"label\": \"tire spike normal\"}\n]\n```", "correct": false, "input_tokens": 1206, "output_tokens": 2909, "elapsed_seconds": 22.35597016697284, "metadata": {"match_method": "map", "num_predictions": 27, "num_ground_truth": 32, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5685148239135742, "attempts": 1, "retries": 0, "total_seconds": 22.4204}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 186, "image": "floorplan-windows-doors_10035_png.rf.4ea81a436186bba253c43df724f8ab26.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [7, 113, 35, 192], \"label\": \"window\"},\n {\"box_2d\": [7, 346, 35, 425], \"label\": \"window\"},\n {\"box_2d\": [7, 502, 35, 581], \"label\": \"window\"},\n {\"box_2d\": [7, 588, 35, 667], \"label\": \"window\"},\n {\"box_2d\": [7, 773, 35, 852], \"label\": \"window\"},\n {\"box_2d\": [218, 181, 307, 239], \"label\": \"door\"},\n {\"box_2d\": [288, 310, 350, 344], \"label\": \"door\"},\n {\"box_2d\": [459, 310, 520, 344], \"label\": \"door\"},\n {\"box_2d\": [264, 396, 341, 444], \"label\": \"door\"},\n {\"box_2d\": [382, 440, 452, 489], \"label\": \"door\"},\n {\"box_2d\": [467, 396, 542, 444], \"label\": \"door\"},\n {\"box_2d\": [216, 677, 286, 726], \"label\": \"door\"},\n {\"box_2d\": [392, 772, 464, 821], \"label\": \"door\"},\n {\"box_2d\": [540, 766, 615, 815], \"label\": \"door\"},\n {\"box_2d\": [560, 677, 635, 726], \"label\": \"door\"},\n {\"box_2d\": [595, 827, 661, 868], \"label\": \"door\"},\n {\"box_2d\": [604, 918, 691, 982], \"label\": \"door\"},\n {\"box_2d\": [318, 918, 417, 936], \"label\": \"window\"},\n {\"box_2d\": [751, 773, 778, 835], \"label\": \"window\"},\n {\"box_2d\": [751, 595, 778, 675], \"label\": \"window\"},\n {\"box_2d\": [751, 331, 778, 409], \"label\": \"window\"},\n {\"box_2d\": [753, 486, 898, 546], \"label\": \"door\"}\n]\n```", "correct": true, "input_tokens": 1245, "output_tokens": 2626, "elapsed_seconds": 22.512471624999307, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 22.5454}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 187, "image": "IMG_6647_jpeg_jpg.rf.c9080c42346e2e5efd9c896163bdce7e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [479, 263, 593, 470], \"label\": \"white poker chip\"},\n {\"box_2d\": [551, 264, 610, 466], \"label\": \"white poker chip\"},\n {\"box_2d\": [566, 261, 628, 462], \"label\": \"white poker chip\"},\n {\"box_2d\": [579, 259, 653, 461], \"label\": \"white poker chip\"},\n {\"box_2d\": [219, 505, 281, 749], \"label\": \"white poker chip\"},\n {\"box_2d\": [258, 511, 307, 751], \"label\": \"white poker chip\"},\n {\"box_2d\": [279, 514, 333, 759], \"label\": \"white poker chip\"},\n {\"box_2d\": [306, 524, 357, 765], \"label\": \"white poker chip\"},\n {\"box_2d\": [321, 517, 381, 754], \"label\": \"white poker chip\"},\n {\"box_2d\": [340, 512, 405, 747], \"label\": \"white poker chip\"},\n {\"box_2d\": [365, 517, 427, 748], \"label\": \"white poker chip\"},\n {\"box_2d\": [375, 508, 446, 738], \"label\": \"white poker chip\"},\n {\"box_2d\": [381, 498, 467, 725], \"label\": \"white poker chip\"},\n {\"box_2d\": [421, 500, 488, 723], \"label\": \"white poker chip\"},\n {\"box_2d\": [440, 499, 508, 721], \"label\": \"white poker chip\"},\n {\"box_2d\": [449, 495, 529, 715], \"label\": \"white poker chip\"},\n {\"box_2d\": [460, 486, 550, 712], \"label\": \"white poker chip\"},\n {\"box_2d\": [497, 488, 571, 709], \"label\": \"white poker chip\"},\n {\"box_2d\": [508, 481, 588, 697], \"label\": \"white poker chip\"},\n {\"box_2d\": [525, 479, 606, 694], \"label\": \"white poker chip\"},\n {\"box_2d\": [538, 475, 622, 695], \"label\": \"white poker chip\"},\n {\"box_2d\": [546, 470, 637, 681], \"label\": \"white poker chip\"},\n {\"box_2d\": [564, 468, 654, 678], \"label\": \"white poker chip\"},\n {\"box_2d\": [586, 472, 670, 679], \"label\": \"white poker chip\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 2772, "elapsed_seconds": 21.281307041994296, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 24, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9488449096679688, "attempts": 1, "retries": 0, "total_seconds": 21.2972}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 188, "image": "IMG_20220316_141641_jpg.rf.2b5b442678a6dd37dce39460868771a9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [193, 98, 581, 423], \"label\": \"jack of spades\"},\n {\"box_2d\": [142, 333, 527, 654], \"label\": \"ten of spades\"},\n {\"box_2d\": [142, 565, 530, 868], \"label\": \"queen of spades\"},\n {\"box_2d\": [448, 28, 882, 396], \"label\": \"nine of spades\"},\n {\"box_2d\": [548, 344, 962, 696], \"label\": \"king of spades\"}\n]\n```", "correct": true, "input_tokens": 1218, "output_tokens": 584, "elapsed_seconds": 7.073064791969955, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 7.0937}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 189, "image": "img_460975841708081304_png.rf.71eaf0b919ddab2a648aa76c72cc4a00.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [158, 145, 304, 252], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [176, 250, 314, 351], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [187, 350, 316, 446], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [199, 444, 328, 540], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [215, 535, 342, 631], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [228, 624, 354, 720], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [239, 712, 367, 807], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [241, 117, 408, 237], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [261, 235, 421, 345], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [274, 344, 416, 446], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [284, 446, 426, 547], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [297, 544, 442, 646], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [309, 638, 452, 742], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [321, 731, 463, 835], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [344, 88, 534, 218], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [362, 215, 539, 336], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [375, 336, 538, 446], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [385, 445, 548, 555], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [396, 550, 562, 662], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [408, 653, 569, 768], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [418, 753, 572, 868], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [466, 45, 678, 194], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [484, 189, 684, 324], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [495, 323, 677, 445], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [501, 445, 691, 566], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [509, 558, 697, 684], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [519, 671, 699, 798], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [525, 777, 698, 908], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [621, 0, 861, 169], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [635, 162, 864, 312], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [639, 311, 855, 446], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [645, 444, 862, 579], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [647, 571, 858, 710], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [656, 693, 860, 837], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [660, 811, 855, 957], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [813, 0, 1000, 138], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [821, 121, 1000, 293], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [820, 292, 1000, 445], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [821, 445, 1000, 595], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [819, 588, 1000, 741], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [824, 725, 1000, 881], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [825, 851, 1000, 1000], \"label\": \"full portable gas cylinder\"}\n]\n```", "correct": true, "input_tokens": 1203, "output_tokens": 4604, "elapsed_seconds": 36.7408218330238, "metadata": {"match_method": "map", "num_predictions": 42, "num_ground_truth": 42, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 36.8241}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 190, "image": "0000242_03668_d_0000012_jpg.rf.06096e6f084464419e172f0d35ca4d48.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [777, 156, 965, 229], \"label\": \"car\"},\n {\"box_2d\": [451, 319, 550, 361], \"label\": \"car\"},\n {\"box_2d\": [445, 487, 533, 524], \"label\": \"car\"},\n {\"box_2d\": [306, 241, 369, 302], \"label\": \"car\"},\n {\"box_2d\": [219, 305, 290, 340], \"label\": \"car\"},\n {\"box_2d\": [249, 510, 304, 540], \"label\": \"car\"},\n {\"box_2d\": [352, 111, 405, 187], \"label\": \"car\"},\n {\"box_2d\": [269, 60, 336, 105], \"label\": \"van\"},\n {\"box_2d\": [309, 715, 359, 780], \"label\": \"car\"},\n {\"box_2d\": [373, 864, 431, 906], \"label\": \"car\"},\n {\"box_2d\": [555, 691, 631, 742], \"label\": \"car\"},\n {\"box_2d\": [604, 622, 1000, 770], \"label\": \"bus\"},\n {\"box_2d\": [391, 42, 438, 96], \"label\": \"tricycle\"},\n {\"box_2d\": [393, 106, 434, 136], \"label\": \"motorcycle\"},\n {\"box_2d\": [410, 176, 455, 217], \"label\": \"tricycle\"},\n {\"box_2d\": [31, 481, 65, 499], \"label\": \"car\"},\n {\"box_2d\": [134, 543, 178, 565], \"label\": \"car\"},\n {\"box_2d\": [350, 0, 404, 20], \"label\": \"car\"},\n {\"box_2d\": [274, 864, 311, 875], \"label\": \"person\"}\n]\n```", "correct": false, "input_tokens": 1253, "output_tokens": 1793, "elapsed_seconds": 19.207274749991484, "metadata": {"match_method": "map", "num_predictions": 19, "num_ground_truth": 41, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.4094242453575134, "attempts": 1, "retries": 0, "total_seconds": 19.2338}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 191, "image": "DJI_20230529111835_0160_T_JPG_jpg.rf.cb5b9a9d87fdc7c9ff407eb5530abb88.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [34, 35, 48, 48], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [31, 75, 45, 88], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [103, 447, 116, 460], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [100, 487, 116, 500], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [98, 527, 112, 540], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [93, 608, 109, 621], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [359, 383, 372, 396], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [449, 513, 465, 527], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [446, 588, 462, 602], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [424, 961, 439, 974], \"label\": \"solar panel hot spot\"}\n]\n```", "correct": true, "input_tokens": 1228, "output_tokens": 1405, "elapsed_seconds": 12.927612999919802, "metadata": {"match_method": "map", "num_predictions": 10, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8316831588745117, "attempts": 1, "retries": 0, "total_seconds": 12.9483}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 192, "image": "oil-tank-detection_oiltank_72_jpg.rf.bfd5af54297ea9f409419db50cd04705.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [252, 327, 336, 405], \"label\": \"oil tank\"},\n {\"box_2d\": [363, 386, 452, 467], \"label\": \"oil tank\"},\n {\"box_2d\": [362, 509, 450, 588], \"label\": \"oil tank\"},\n {\"box_2d\": [481, 447, 576, 528], \"label\": \"oil tank\"},\n {\"box_2d\": [607, 511, 706, 594], \"label\": \"oil tank\"},\n {\"box_2d\": [478, 184, 573, 267], \"label\": \"oil tank\"},\n {\"box_2d\": [567, 45, 665, 130], \"label\": \"oil tank\"},\n {\"box_2d\": [590, 233, 686, 316], \"label\": \"oil tank\"},\n {\"box_2d\": [682, 92, 785, 178], \"label\": \"oil tank\"},\n {\"box_2d\": [702, 286, 807, 373], \"label\": \"oil tank\"},\n {\"box_2d\": [802, 141, 907, 229], \"label\": \"oil tank\"}\n]\n```", "correct": true, "input_tokens": 1217, "output_tokens": 1230, "elapsed_seconds": 13.407746457960457, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 13.4697}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 193, "image": "fall-detection_11_mp4-445_jpg.rf.ec9538d8514a0521c6f155cde47497f3.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [686, 225, 781, 361], \"label\": \"fallen person\"},\n {\"box_2d\": [498, 612, 567, 714], \"label\": \"fallen person\"},\n {\"box_2d\": [484, 825, 538, 944], \"label\": \"fallen person\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 587, "elapsed_seconds": 8.655160917085595, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 8.6661}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 194, "image": "IMG_0619_jpeg.rf.c3c23da72f8dbeb2815ccc4646178889.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [480, 185, 610, 279], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [621, 344, 755, 476], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [597, 577, 749, 676], \"label\": \"peach jelly bean\"},\n {\"box_2d\": [484, 675, 576, 789], \"label\": \"peach jelly bean\"},\n {\"box_2d\": [451, 493, 570, 578], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [348, 359, 449, 424], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [264, 307, 349, 377], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [348, 748, 434, 839], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [259, 478, 333, 543], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [254, 638, 325, 701], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [318, 543, 410, 610], \"label\": \"caramel corn jelly bean\"}\n]\n```", "correct": true, "input_tokens": 1230, "output_tokens": 3459, "elapsed_seconds": 31.356090915971436, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 31.3908}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 195, "image": "GP010243_JPG_jpg.rf.64d32b7106e99e9f954d84ee868d21ec.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [60, 353, 252, 387], \"label\": \"carrot\"},\n {\"box_2d\": [86, 386, 220, 461], \"label\": \"carrot\"},\n {\"box_2d\": [91, 497, 181, 614], \"label\": \"carrot\"},\n {\"box_2d\": [95, 445, 319, 570], \"label\": \"carrot\"},\n {\"box_2d\": [167, 373, 312, 416], \"label\": \"carrot\"},\n {\"box_2d\": [161, 391, 303, 442], \"label\": \"carrot\"},\n {\"box_2d\": [130, 562, 336, 606], \"label\": \"carrot\"},\n {\"box_2d\": [148, 527, 220, 681], \"label\": \"carrot\"},\n {\"box_2d\": [159, 620, 294, 686], \"label\": \"carrot\"},\n {\"box_2d\": [216, 612, 367, 694], \"label\": \"carrot\"},\n {\"box_2d\": [231, 617, 391, 703], \"label\": \"carrot\"},\n {\"box_2d\": [278, 678, 422, 709], \"label\": \"carrot\"},\n {\"box_2d\": [259, 472, 408, 608], \"label\": \"carrot\"},\n {\"box_2d\": [284, 344, 380, 453], \"label\": \"carrot\"},\n {\"box_2d\": [270, 452, 475, 491], \"label\": \"carrot\"},\n {\"box_2d\": [288, 484, 423, 511], \"label\": \"carrot\"},\n {\"box_2d\": [344, 408, 520, 444], \"label\": \"carrot\"},\n {\"box_2d\": [370, 391, 542, 417], \"label\": \"carrot\"},\n {\"box_2d\": [433, 342, 588, 395], \"label\": \"carrot\"},\n {\"box_2d\": [528, 344, 580, 473], \"label\": \"carrot\"},\n {\"box_2d\": [395, 488, 455, 631], \"label\": \"carrot\"},\n {\"box_2d\": [373, 559, 488, 684], \"label\": \"carrot\"},\n {\"box_2d\": [345, 594, 511, 625], \"label\": \"carrot\"},\n {\"box_2d\": [422, 567, 517, 605], \"label\": \"carrot\"},\n {\"box_2d\": [470, 419, 497, 575], \"label\": \"carrot\"},\n {\"box_2d\": [497, 422, 536, 572], \"label\": \"carrot\"},\n {\"box_2d\": [581, 483, 614, 684], \"label\": \"carrot\"},\n {\"box_2d\": [608, 472, 650, 653], \"label\": \"carrot\"},\n {\"box_2d\": [612, 384, 730, 444], \"label\": \"carrot\"},\n {\"box_2d\": [627, 384, 756, 544], \"label\": \"carrot\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 5618, "elapsed_seconds": 48.925816916977055, "metadata": {"match_method": "map", "num_predictions": 30, "num_ground_truth": 31, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9603960514068604, "attempts": 1, "retries": 0, "total_seconds": 48.9504}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 196, "image": "AF6880-9_2025_NCPT-169_JPG_jpg.rf.ea0bce7069f12d5c1ba29710a0998228.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [56, 191, 148, 229], \"label\": \"potato\"},\n {\"box_2d\": [612, 194, 672, 217], \"label\": \"potato\"},\n {\"box_2d\": [13, 238, 82, 267], \"label\": \"potato\"},\n {\"box_2d\": [80, 237, 150, 268], \"label\": \"potato\"},\n {\"box_2d\": [146, 232, 224, 268], \"label\": \"potato\"},\n {\"box_2d\": [399, 234, 461, 261], \"label\": \"potato\"},\n {\"box_2d\": [669, 230, 749, 262], \"label\": \"potato\"},\n {\"box_2d\": [31, 285, 92, 309], \"label\": \"potato\"},\n {\"box_2d\": [249, 274, 349, 312], \"label\": \"potato\"},\n {\"box_2d\": [427, 276, 519, 310], \"label\": \"potato\"},\n {\"box_2d\": [523, 275, 616, 312], \"label\": \"potato\"},\n {\"box_2d\": [641, 272, 728, 308], \"label\": \"potato\"},\n {\"box_2d\": [726, 274, 805, 304], \"label\": \"potato\"},\n {\"box_2d\": [58, 320, 158, 357], \"label\": \"potato\"},\n {\"box_2d\": [322, 321, 427, 361], \"label\": \"potato\"},\n {\"box_2d\": [453, 319, 535, 350], \"label\": \"potato\"},\n {\"box_2d\": [590, 316, 671, 351], \"label\": \"potato\"},\n {\"box_2d\": [917, 313, 1000, 346], \"label\": \"potato\"},\n {\"box_2d\": [9, 370, 88, 403], \"label\": \"potato\"},\n {\"box_2d\": [90, 368, 165, 400], \"label\": \"potato\"},\n {\"box_2d\": [161, 370, 237, 400], \"label\": \"potato\"},\n {\"box_2d\": [225, 361, 280, 384], \"label\": \"potato\"},\n {\"box_2d\": [276, 357, 391, 404], \"label\": \"potato\"},\n {\"box_2d\": [388, 365, 474, 398], \"label\": \"potato\"},\n {\"box_2d\": [472, 360, 576, 400], \"label\": \"potato\"},\n {\"box_2d\": [658, 365, 730, 394], \"label\": \"potato\"},\n {\"box_2d\": [726, 355, 828, 398], \"label\": \"potato\"},\n {\"box_2d\": [824, 353, 929, 394], \"label\": \"potato\"},\n {\"box_2d\": [924, 359, 1000, 397], \"label\": \"potato\"},\n {\"box_2d\": [71, 412, 146, 445], \"label\": \"potato\"},\n {\"box_2d\": [142, 408, 251, 449], \"label\": \"potato\"},\n {\"box_2d\": [249, 409, 345, 446], \"label\": \"potato\"},\n {\"box_2d\": [340, 412, 399, 437], \"label\": \"potato\"},\n {\"box_2d\": [399, 400, 499, 441], \"label\": \"potato\"},\n {\"box_2d\": [503, 401, 613, 439], \"label\": \"potato\"},\n {\"box_2d\": [655, 401, 748, 440], \"label\": \"potato\"},\n {\"box_2d\": [861, 397, 942, 435], \"label\": \"potato\"},\n {\"box_2d\": [938, 404, 1000, 435], \"label\": \"potato\"},\n {\"box_2d\": [4, 454, 111, 498], \"label\": \"potato\"},\n {\"box_2d\": [110, 453, 207, 491], \"label\": \"potato\"},\n {\"box_2d\": [204, 452, 293, 491], \"label\": \"potato\"},\n {\"box_2d\": [288, 446, 365, 481], \"label\": \"potato\"},\n {\"box_2d\": [362, 448, 465, 490], \"label\": \"potato\"},\n {\"box_2d\": [513, 451, 591, 485], \"label\": \"potato\"},\n {\"box_2d\": [605, 446, 695, 485], \"label\": \"potato\"},\n {\"box_2d\": [49, 501, 138, 537], \"label\": \"potato\"},\n {\"box_2d\": [134, 501, 214, 533], \"label\": \"potato\"},\n {\"box_2d\": [211, 502, 281, 531], \"label\": \"potato\"},\n {\"box_2d\": [278, 499, 378, 538], \"label\": \"potato\"},\n {\"box_2d\": [484, 492, 600, 541], \"label\": \"potato\"},\n {\"box_2d\": [764, 487, 859, 530], \"label\": \"potato\"},\n {\"box_2d\": [856, 492, 933, 522], \"label\": \"potato\"},\n {\"box_2d\": [929, 489, 1000, 524], \"label\": \"potato\"},\n {\"box_2d\": [226, 543, 316, 574], \"label\": \"potato\"},\n {\"box_2d\": [383, 536, 484, 581], \"label\": \"potato\"},\n {\"box_2d\": [76, 585, 170, 622], \"label\": \"potato\"},\n {\"box_2d\": [235, 581, 353, 621], \"label\": \"potato\"},\n {\"box_2d\": [559, 585, 636, 613], \"label\": \"potato\"},\n {\"box_2d\": [636, 581, 729, 612], \"label\": \"potato\"},\n {\"box_2d\": [5, 633, 96, 666], \"label\": \"potato\"},\n {\"box_2d\": [92, 632, 177, 670], \"label\": \"potato\"},\n {\"box_2d\": [172, 634, 236, 661], \"label\": \"potato\"},\n {\"box_2d\": [192, 670, 295, 708], \"label\": \"potato\"},\n {\"box_2d\": [420, 669, 516, 704], \"label\": \"potato\"},\n {\"box_2d\": [568, 669, 633, 697], \"label\": \"potato\"},\n {\"box_2d\": [821, 664, 916, 700], \"label\": \"potato\"},\n {\"box_2d\": [576, 752, 683, 791], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 4649, "elapsed_seconds": 51.75837141694501, "metadata": {"match_method": "map", "num_predictions": 67, "num_ground_truth": 67, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 52.228}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 197, "image": "frame_0086_jpg.rf.5ae0e80356e2c5bb993a052e5023c7f1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [31, 341, 63, 362], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [32, 396, 65, 417], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [36, 452, 70, 474], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [41, 508, 74, 530], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [114, 330, 151, 350], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [116, 386, 154, 407], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [121, 442, 160, 464], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [125, 500, 165, 523], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [656, 300, 703, 325], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [659, 361, 708, 386], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [671, 424, 718, 450], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [682, 489, 731, 515], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [772, 297, 815, 321], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [777, 357, 822, 382], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [788, 422, 833, 447], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [802, 487, 847, 512], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [880, 294, 926, 317], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [887, 354, 934, 378], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [900, 418, 946, 442], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [914, 483, 960, 507], \"label\": \"soda bottle cap\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 1565, "elapsed_seconds": 35.49189145793207, "metadata": {"match_method": "map", "num_predictions": 20, "num_ground_truth": 20, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 35.8639}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 198, "image": "image_147_png_jpg.rf.fd3e0f5032b1ae386c027b1058ac751a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [122, 672, 405, 890], \"label\": \"tire size text\"},\n {\"box_2d\": [417, 81, 778, 211], \"label\": \"tire size text\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 383, "elapsed_seconds": 10.411052334005944, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 10.6872}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 199, "image": "fabric-defect_1080_jpg.rf.77a4ab03e25cfeeaaa1f6bbdcb3e7742.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [565, 486, 672, 727], \"label\": \"fabric cut\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 205, "elapsed_seconds": 4.648147124913521, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 4.6557}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 200, "image": "oil-tank-detection_oiltank_137_jpg.rf.be33343bf10652832014b855d080a80c.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [85, 463, 224, 588], \"label\": \"oil tank\"},\n {\"box_2d\": [237, 456, 376, 580], \"label\": \"oil tank\"},\n {\"box_2d\": [392, 449, 534, 574], \"label\": \"oil tank\"},\n {\"box_2d\": [550, 449, 681, 560], \"label\": \"oil tank\"},\n {\"box_2d\": [95, 597, 237, 722], \"label\": \"oil tank\"},\n {\"box_2d\": [245, 595, 386, 718], \"label\": \"oil tank\"},\n {\"box_2d\": [400, 588, 545, 714], \"label\": \"oil tank\"},\n {\"box_2d\": [557, 592, 689, 704], \"label\": \"oil tank\"},\n {\"box_2d\": [108, 732, 228, 836], \"label\": \"oil tank\"},\n {\"box_2d\": [237, 730, 358, 836], \"label\": \"oil tank\"},\n {\"box_2d\": [367, 728, 491, 836], \"label\": \"oil tank\"},\n {\"box_2d\": [117, 850, 195, 920], \"label\": \"oil tank\"},\n {\"box_2d\": [194, 847, 274, 920], \"label\": \"oil tank\"},\n {\"box_2d\": [278, 848, 355, 920], \"label\": \"oil tank\"},\n {\"box_2d\": [361, 848, 441, 920], \"label\": \"oil tank\"},\n {\"box_2d\": [447, 846, 526, 919], \"label\": \"oil tank\"},\n {\"box_2d\": [587, 844, 669, 916], \"label\": \"oil tank\"}\n]\n```", "correct": true, "input_tokens": 1217, "output_tokens": 2316, "elapsed_seconds": 28.38349629100412, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 17, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 28.4434}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 201, "image": "basketball-player-detection_boston-celtics-new-york-knicks-game-1-q1-05-13-05-09-0000_png.rf.31fd4573143b8c82031c8804c4754e40.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [323, 198, 350, 213], \"label\": \"basketball\"},\n {\"box_2d\": [292, 160, 456, 203], \"label\": \"player in possession\"},\n {\"box_2d\": [359, 130, 610, 182], \"label\": \"player\"},\n {\"box_2d\": [400, 225, 650, 280], \"label\": \"player\"},\n {\"box_2d\": [304, 297, 491, 356], \"label\": \"player\"},\n {\"box_2d\": [576, 466, 804, 530], \"label\": \"player\"},\n {\"box_2d\": [481, 483, 686, 529], \"label\": \"player\"},\n {\"box_2d\": [196, 539, 377, 591], \"label\": \"player\"},\n {\"box_2d\": [145, 533, 309, 569], \"label\": \"player\"},\n {\"box_2d\": [247, 656, 453, 695], \"label\": \"player\"},\n {\"box_2d\": [176, 667, 355, 709], \"label\": \"player\"},\n {\"box_2d\": [222, 8, 396, 68], \"label\": \"referee\"},\n {\"box_2d\": [676, 630, 910, 679], \"label\": \"referee\"},\n {\"box_2d\": [201, 742, 377, 783], \"label\": \"referee\"},\n {\"box_2d\": [192, 712, 252, 747], \"label\": \"basket rim\"},\n {\"box_2d\": [461, 241, 486, 252], \"label\": \"jersey number\"},\n {\"box_2d\": [331, 319, 355, 335], \"label\": \"jersey number\"},\n {\"box_2d\": [410, 141, 439, 152], \"label\": \"jersey number\"},\n {\"box_2d\": [636, 472, 667, 483], \"label\": \"jersey number\"},\n {\"box_2d\": [725, 650, 749, 665], \"label\": \"jersey number\"},\n {\"box_2d\": [235, 561, 258, 570], \"label\": \"jersey number\"},\n {\"box_2d\": [297, 671, 318, 680], \"label\": \"jersey number\"}\n]\n```", "correct": false, "input_tokens": 1250, "output_tokens": 2085, "elapsed_seconds": 18.096256041899323, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 23, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7861857414245605, "attempts": 1, "retries": 0, "total_seconds": 18.1922}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 202, "image": "z4517190790071_c6f2ede212488ea95f254bbe631608fc_jpg.rf.f7f6570fcaaac50f965457b35ee9278d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [158, 349, 263, 505], \"label\": \"10 poker chip\"},\n {\"box_2d\": [228, 586, 341, 753], \"label\": \"50 poker chip\"},\n {\"box_2d\": [282, 239, 397, 405], \"label\": \"20 poker chip\"},\n {\"box_2d\": [292, 439, 409, 605], \"label\": \"20 poker chip\"},\n {\"box_2d\": [362, 102, 484, 275], \"label\": \"100 poker chip\"},\n {\"box_2d\": [344, 769, 466, 947], \"label\": \"5000 poker chip\"},\n {\"box_2d\": [421, 357, 546, 530], \"label\": \"20 poker chip\"},\n {\"box_2d\": [425, 605, 553, 785], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [457, 187, 587, 365], \"label\": \"10 poker chip\"},\n {\"box_2d\": [548, 25, 687, 210], \"label\": \"50 poker chip\"},\n {\"box_2d\": [574, 247, 716, 433], \"label\": \"20 poker chip\"},\n {\"box_2d\": [526, 456, 663, 639], \"label\": \"20 poker chip\"},\n {\"box_2d\": [549, 697, 690, 888], \"label\": \"500 poker chip\"},\n {\"box_2d\": [705, 395, 864, 593], \"label\": \"50 poker chip\"},\n {\"box_2d\": [692, 601, 849, 800], \"label\": \"50 poker chip\"}\n]\n```", "correct": true, "input_tokens": 1246, "output_tokens": 1700, "elapsed_seconds": 20.65200383402407, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 20.8443}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 203, "image": "0000272_05500_d_0000012_jpg.rf.4ba2cfdc69b70f306855d444db49f509.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [871, 452, 1000, 517], \"label\": \"car\"},\n {\"box_2d\": [595, 476, 742, 526], \"label\": \"car\"},\n {\"box_2d\": [617, 581, 732, 645], \"label\": \"car\"},\n {\"box_2d\": [424, 481, 518, 520], \"label\": \"car\"},\n {\"box_2d\": [282, 487, 362, 521], \"label\": \"car\"},\n {\"box_2d\": [230, 528, 283, 555], \"label\": \"car\"},\n {\"box_2d\": [174, 585, 220, 613], \"label\": \"car\"},\n {\"box_2d\": [186, 483, 251, 506], \"label\": \"van\"},\n {\"box_2d\": [262, 566, 320, 588], \"label\": \"awning tricycle\"},\n {\"box_2d\": [74, 561, 108, 582], \"label\": \"car\"},\n {\"box_2d\": [34, 556, 74, 575], \"label\": \"car\"},\n {\"box_2d\": [25, 518, 58, 537], \"label\": \"car\"},\n {\"box_2d\": [4, 554, 33, 569], \"label\": \"car\"},\n {\"box_2d\": [111, 424, 159, 442], \"label\": \"car\"},\n {\"box_2d\": [68, 425, 119, 447], \"label\": \"van\"},\n {\"box_2d\": [331, 381, 391, 403], \"label\": \"awning tricycle\"},\n {\"box_2d\": [297, 385, 344, 404], \"label\": \"tricycle\"},\n {\"box_2d\": [208, 400, 261, 422], \"label\": \"awning tricycle\"},\n {\"box_2d\": [748, 28, 834, 83], \"label\": \"car\"},\n {\"box_2d\": [772, 350, 848, 370], \"label\": \"person\"},\n {\"box_2d\": [712, 401, 777, 420], \"label\": \"person\"},\n {\"box_2d\": [742, 402, 799, 419], \"label\": \"bike\"},\n {\"box_2d\": [420, 413, 474, 426], \"label\": \"person\"},\n {\"box_2d\": [491, 671, 550, 689], \"label\": \"person\"},\n {\"box_2d\": [334, 608, 376, 621], \"label\": \"person\"},\n {\"box_2d\": [348, 608, 384, 622], \"label\": \"motorcycle\"},\n {\"box_2d\": [426, 847, 462, 869], \"label\": \"motorcycle\"},\n {\"box_2d\": [134, 447, 166, 455], \"label\": \"person\"}\n]\n```", "correct": false, "input_tokens": 1251, "output_tokens": 2362, "elapsed_seconds": 20.91548204200808, "metadata": {"match_method": "map", "num_predictions": 28, "num_ground_truth": 48, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3722997307777405, "attempts": 1, "retries": 0, "total_seconds": 20.9594}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 204, "image": "IMG_20251126_160326_jpg.rf.31a216199c4280d746f5865a68a63ce2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 476, 195, 553], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [2, 629, 179, 710], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [692, 33, 785, 104], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [662, 118, 953, 195], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [682, 241, 772, 312], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [659, 311, 770, 385], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [672, 381, 767, 450], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [664, 463, 756, 532], \"label\": \"white standard price tag\"},\n {\"box_2d\": [638, 591, 926, 668], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [657, 688, 753, 758], \"label\": \"white standard price tag\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 1310, "elapsed_seconds": 16.331045792088844, "metadata": {"match_method": "map", "num_predictions": 10, "num_ground_truth": 10, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 16.6029}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 205, "image": "54_jpg.rf.3f4031b98a1a0622e63a0c84142db646.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [46, 108, 121, 350], \"label\": \"blood sample tube\"},\n {\"box_2d\": [17, 542, 94, 786], \"label\": \"blood sample tube\"},\n {\"box_2d\": [43, 291, 326, 450], \"label\": \"blood sample tube\"},\n {\"box_2d\": [48, 452, 237, 676], \"label\": \"blood sample tube\"},\n {\"box_2d\": [70, 650, 378, 790], \"label\": \"blood sample tube\"},\n {\"box_2d\": [51, 780, 376, 838], \"label\": \"blood sample tube\"},\n {\"box_2d\": [157, 825, 483, 881], \"label\": \"blood sample tube\"},\n {\"box_2d\": [176, 319, 419, 513], \"label\": \"blood sample tube\"},\n {\"box_2d\": [195, 558, 463, 738], \"label\": \"blood sample tube\"},\n {\"box_2d\": [234, 642, 505, 823], \"label\": \"blood sample tube\"},\n {\"box_2d\": [311, 224, 631, 278], \"label\": \"blood sample tube\"},\n {\"box_2d\": [400, 107, 697, 241], \"label\": \"blood sample tube\"},\n {\"box_2d\": [383, 305, 684, 429], \"label\": \"blood sample tube\"},\n {\"box_2d\": [297, 369, 597, 498], \"label\": \"blood sample tube\"},\n {\"box_2d\": [412, 375, 709, 515], \"label\": \"blood sample tube\"},\n {\"box_2d\": [338, 474, 613, 639], \"label\": \"blood sample tube\"},\n {\"box_2d\": [427, 618, 608, 849], \"label\": \"blood sample tube\"},\n {\"box_2d\": [516, 652, 695, 886], \"label\": \"blood sample tube\"},\n {\"box_2d\": [544, 554, 726, 787], \"label\": \"blood sample tube\"},\n {\"box_2d\": [686, 117, 751, 360], \"label\": \"blood sample tube\"},\n {\"box_2d\": [678, 414, 744, 661], \"label\": \"blood sample tube\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 2312, "elapsed_seconds": 17.86549879203085, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 21, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 17.8866}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 206, "image": "car-part-detection_Car-damages-100_png_jpg.rf.662e4c271efc89eea96c10e14886a134.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [389, 121, 434, 162], \"label\": \"headlight\"},\n {\"box_2d\": [412, 102, 576, 175], \"label\": \"front bumper\"},\n {\"box_2d\": [326, 134, 394, 292], \"label\": \"hood\"},\n {\"box_2d\": [315, 319, 365, 344], \"label\": \"mirror\"},\n {\"box_2d\": [229, 343, 362, 538], \"label\": \"front window\"},\n {\"box_2d\": [222, 299, 582, 546], \"label\": \"front door\"},\n {\"box_2d\": [229, 546, 354, 753], \"label\": \"back window\"},\n {\"box_2d\": [222, 520, 587, 769], \"label\": \"back door\"},\n {\"box_2d\": [370, 879, 439, 954], \"label\": \"tail light\"},\n {\"box_2d\": [426, 840, 608, 962], \"label\": \"back bumper\"}\n]\n```", "correct": false, "input_tokens": 1273, "output_tokens": 1185, "elapsed_seconds": 11.469226583023556, "metadata": {"match_method": "map", "num_predictions": 10, "num_ground_truth": 13, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7499998807907104, "attempts": 1, "retries": 0, "total_seconds": 11.4807}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 207, "image": "11_jpeg_jpg.rf.39329fe23320cf7bc33af6b9a57582d1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [77, 259, 181, 340], \"label\": \"potato\"},\n {\"box_2d\": [87, 643, 180, 740], \"label\": \"potato\"},\n {\"box_2d\": [297, 35, 421, 134], \"label\": \"potato\"},\n {\"box_2d\": [298, 345, 391, 434], \"label\": \"potato\"},\n {\"box_2d\": [321, 981, 406, 1000], \"label\": \"potato\"},\n {\"box_2d\": [498, 201, 659, 316], \"label\": \"potato\"},\n {\"box_2d\": [487, 405, 593, 499], \"label\": \"potato\"},\n {\"box_2d\": [503, 619, 594, 701], \"label\": \"potato\"},\n {\"box_2d\": [503, 789, 601, 878], \"label\": \"potato\"},\n {\"box_2d\": [650, 511, 818, 620], \"label\": \"potato\"},\n {\"box_2d\": [697, 324, 829, 434], \"label\": \"potato\"},\n {\"box_2d\": [714, 0, 808, 33], \"label\": \"potato\"},\n {\"box_2d\": [710, 703, 810, 782], \"label\": \"potato\"},\n {\"box_2d\": [703, 814, 809, 883], \"label\": \"potato\"},\n {\"box_2d\": [913, 315, 1000, 421], \"label\": \"potato\"},\n {\"box_2d\": [898, 745, 1000, 838], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1240, "output_tokens": 2093, "elapsed_seconds": 17.74780979193747, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 17.7828}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 208, "image": "oil-tank-detection_oiltank_3_jpg.rf.be0eb144cee15c2f85755ead464dc286.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [102, 71, 235, 176], \"label\": \"oil tank\"},\n {\"box_2d\": [97, 227, 231, 335], \"label\": \"oil tank\"},\n {\"box_2d\": [280, 72, 418, 178], \"label\": \"oil tank\"},\n {\"box_2d\": [275, 228, 411, 336], \"label\": \"oil tank\"},\n {\"box_2d\": [88, 456, 221, 564], \"label\": \"oil tank\"},\n {\"box_2d\": [82, 612, 214, 718], \"label\": \"oil tank\"},\n {\"box_2d\": [267, 462, 402, 569], \"label\": \"oil tank\"},\n {\"box_2d\": [261, 619, 396, 726], \"label\": \"oil tank\"},\n {\"box_2d\": [537, 131, 631, 202], \"label\": \"oil tank\"},\n {\"box_2d\": [534, 225, 627, 296], \"label\": \"oil tank\"}\n]\n```", "correct": true, "input_tokens": 1217, "output_tokens": 1243, "elapsed_seconds": 11.991154917050153, "metadata": {"match_method": "map", "num_predictions": 10, "num_ground_truth": 10, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 12.0524}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 209, "image": "tile_558_jpg.rf.98aa48e6c54062f1e67b01de665e6887.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [76, 882, 97, 922], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [312, 569, 333, 603], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [345, 245, 377, 323], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [602, 836, 622, 892], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [623, 338, 667, 422], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [869, 154, 902, 226], \"label\": \"ship in SAR satellite image\"}\n]\n```", "correct": true, "input_tokens": 1229, "output_tokens": 768, "elapsed_seconds": 11.604520249995403, "metadata": {"match_method": "map", "num_predictions": 6, "num_ground_truth": 6, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 11.6428}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 210, "image": "20230224_110122_jpg.rf.94c8b9d6caaec8593c315337e30857d7.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [591, 198, 650, 282], \"label\": \"crack\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 244, "elapsed_seconds": 5.106759625021368, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 5.1203}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 211, "image": "IMG_20220316_144550_jpg.rf.92c6d74a9ccc9c6c90918613d40eb144.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [281, 513, 671, 686], \"label\": \"eight of hearts\"},\n {\"box_2d\": [444, 405, 892, 667], \"label\": \"seven of hearts\"},\n {\"box_2d\": [246, 289, 656, 524], \"label\": \"six of hearts\"},\n {\"box_2d\": [550, 171, 1000, 514], \"label\": \"five of hearts\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 729, "elapsed_seconds": 8.663258792017587, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 8.678}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 212, "image": "wood-log-detection_006_png_jpg.rf.45786538ddac406dd0014f409b1d4caa.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [95, 203, 139, 262], \"label\": \"log cross-section\"},\n {\"box_2d\": [184, 238, 212, 273], \"label\": \"log cross-section\"},\n {\"box_2d\": [88, 294, 136, 359], \"label\": \"log cross-section\"},\n {\"box_2d\": [206, 323, 231, 352], \"label\": \"log cross-section\"},\n {\"box_2d\": [122, 389, 156, 434], \"label\": \"log cross-section\"},\n {\"box_2d\": [192, 447, 223, 481], \"label\": \"log cross-section\"},\n {\"box_2d\": [56, 452, 120, 533], \"label\": \"log cross-section\"},\n {\"box_2d\": [120, 477, 169, 550], \"label\": \"log cross-section\"},\n {\"box_2d\": [56, 567, 105, 630], \"label\": \"log cross-section\"},\n {\"box_2d\": [125, 558, 156, 594], \"label\": \"log cross-section\"},\n {\"box_2d\": [148, 572, 184, 620], \"label\": \"log cross-section\"},\n {\"box_2d\": [119, 595, 155, 642], \"label\": \"log cross-section\"},\n {\"box_2d\": [81, 623, 125, 678], \"label\": \"log cross-section\"},\n {\"box_2d\": [108, 664, 144, 712], \"label\": \"log cross-section\"},\n {\"box_2d\": [162, 631, 200, 686], \"label\": \"log cross-section\"},\n {\"box_2d\": [161, 723, 203, 778], \"label\": \"log cross-section\"}\n]\n```", "correct": true, "input_tokens": 1228, "output_tokens": 1900, "elapsed_seconds": 17.182099916040897, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 17.2004}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 213, "image": "Container_864_jpg.rf.9627e6adc1ff8e75c7d8ca9f8cc06311.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [112, 542, 389, 564], \"label\": \"shipping container number\"},\n {\"box_2d\": [96, 603, 196, 618], \"label\": \"container ISO type code\"}\n]\n```", "correct": true, "input_tokens": 1232, "output_tokens": 640, "elapsed_seconds": 9.169573624967597, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 9.1869}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 214, "image": "uav20221018_ixfZ_3857_14_png.rf.64d1ce8897202b1ab5141c12ebcde0db.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 159, 43, 228], \"label\": \"banana tree\"},\n {\"box_2d\": [44, 244, 82, 279], \"label\": \"banana tree\"},\n {\"box_2d\": [85, 175, 134, 211], \"label\": \"banana tree\"},\n {\"box_2d\": [121, 243, 170, 290], \"label\": \"banana tree\"},\n {\"box_2d\": [169, 170, 217, 219], \"label\": \"banana tree\"},\n {\"box_2d\": [211, 240, 260, 282], \"label\": \"banana tree\"},\n {\"box_2d\": [258, 176, 300, 215], \"label\": \"banana tree\"},\n {\"box_2d\": [306, 241, 344, 280], \"label\": \"banana tree\"},\n {\"box_2d\": [344, 174, 396, 226], \"label\": \"banana tree\"},\n {\"box_2d\": [390, 252, 426, 290], \"label\": \"banana tree\"},\n {\"box_2d\": [427, 178, 483, 222], \"label\": \"banana tree\"},\n {\"box_2d\": [471, 249, 521, 294], \"label\": \"banana tree\"},\n {\"box_2d\": [514, 182, 560, 225], \"label\": \"banana tree\"},\n {\"box_2d\": [565, 250, 610, 292], \"label\": \"banana tree\"},\n {\"box_2d\": [600, 179, 651, 232], \"label\": \"banana tree\"},\n {\"box_2d\": [642, 245, 706, 297], \"label\": \"banana tree\"},\n {\"box_2d\": [681, 169, 738, 236], \"label\": \"banana tree\"},\n {\"box_2d\": [733, 241, 787, 295], \"label\": \"banana tree\"},\n {\"box_2d\": [781, 180, 830, 231], \"label\": \"banana tree\"},\n {\"box_2d\": [828, 252, 875, 297], \"label\": \"banana tree\"},\n {\"box_2d\": [864, 179, 916, 238], \"label\": \"banana tree\"},\n {\"box_2d\": [910, 253, 962, 306], \"label\": \"banana tree\"},\n {\"box_2d\": [954, 182, 1000, 240], \"label\": \"banana tree\"},\n {\"box_2d\": [2, 469, 77, 540], \"label\": \"banana tree\"},\n {\"box_2d\": [53, 554, 108, 600], \"label\": \"banana tree\"},\n {\"box_2d\": [94, 465, 162, 535], \"label\": \"banana tree\"},\n {\"box_2d\": [142, 545, 198, 604], \"label\": \"banana tree\"},\n {\"box_2d\": [167, 471, 248, 543], \"label\": \"banana tree\"},\n {\"box_2d\": [232, 559, 271, 597], \"label\": \"banana tree\"},\n {\"box_2d\": [273, 487, 323, 532], \"label\": \"banana tree\"},\n {\"box_2d\": [315, 558, 366, 599], \"label\": \"banana tree\"},\n {\"box_2d\": [350, 481, 428, 544], \"label\": \"banana tree\"},\n {\"box_2d\": [399, 552, 449, 604], \"label\": \"banana tree\"},\n {\"box_2d\": [434, 483, 495, 544], \"label\": \"banana tree\"},\n {\"box_2d\": [478, 565, 533, 605], \"label\": \"banana tree\"},\n {\"box_2d\": [525, 476, 584, 539], \"label\": \"banana tree\"},\n {\"box_2d\": [575, 562, 623, 605], \"label\": \"banana tree\"},\n {\"box_2d\": [616, 484, 678, 548], \"label\": \"banana tree\"},\n {\"box_2d\": [657, 551, 709, 608], \"label\": \"banana tree\"},\n {\"box_2d\": [685, 480, 774, 565], \"label\": \"banana tree\"},\n {\"box_2d\": [744, 553, 795, 611], \"label\": \"banana tree\"},\n {\"box_2d\": [792, 480, 859, 544], \"label\": \"banana tree\"},\n {\"box_2d\": [836, 567, 874, 606], \"label\": \"banana tree\"},\n {\"box_2d\": [868, 488, 932, 546], \"label\": \"banana tree\"},\n {\"box_2d\": [919, 573, 962, 612], \"label\": \"banana tree\"},\n {\"box_2d\": [961, 490, 1000, 550], \"label\": \"banana tree\"},\n {\"box_2d\": [765, 854, 821, 916], \"label\": \"banana tree\"},\n {\"box_2d\": [810, 780, 877, 840], \"label\": \"banana tree\"},\n {\"box_2d\": [858, 863, 902, 904], \"label\": \"banana tree\"},\n {\"box_2d\": [900, 791, 966, 850], \"label\": \"banana tree\"},\n {\"box_2d\": [937, 864, 998, 919], \"label\": \"banana tree\"}\n]\n```", "correct": false, "input_tokens": 1226, "output_tokens": 3059, "elapsed_seconds": 28.139642334077507, "metadata": {"match_method": "map", "num_predictions": 51, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7813327312469482, "attempts": 1, "retries": 0, "total_seconds": 28.1831}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 215, "image": "1704192313045_jpg.rf.f68f24072cd4a5061cddf9521b0b617a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [265, 602, 336, 687], \"label\": \"chickpea grain\"},\n {\"box_2d\": [431, 293, 515, 366], \"label\": \"chickpea grain\"},\n {\"box_2d\": [501, 438, 565, 511], \"label\": \"chickpea grain\"},\n {\"box_2d\": [592, 729, 671, 807], \"label\": \"chickpea grain\"},\n {\"box_2d\": [698, 229, 780, 300], \"label\": \"chickpea grain\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 563, "elapsed_seconds": 11.150979958008975, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 11.1637}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 216, "image": "A15311-6Ctrv_2025_NCPT-174_JPG_jpg.rf.fc9ee0cac2da2d059bc0db453be0c788.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [17, 170, 67, 190], \"label\": \"potato\"},\n {\"box_2d\": [108, 156, 203, 192], \"label\": \"potato\"},\n {\"box_2d\": [201, 162, 269, 191], \"label\": \"potato\"},\n {\"box_2d\": [105, 206, 185, 236], \"label\": \"potato\"},\n {\"box_2d\": [429, 202, 496, 229], \"label\": \"potato\"},\n {\"box_2d\": [569, 198, 646, 229], \"label\": \"potato\"},\n {\"box_2d\": [13, 253, 68, 278], \"label\": \"potato\"},\n {\"box_2d\": [75, 246, 159, 280], \"label\": \"potato\"},\n {\"box_2d\": [181, 242, 273, 281], \"label\": \"potato\"},\n {\"box_2d\": [376, 244, 456, 276], \"label\": \"potato\"},\n {\"box_2d\": [498, 243, 584, 278], \"label\": \"potato\"},\n {\"box_2d\": [806, 242, 886, 272], \"label\": \"potato\"},\n {\"box_2d\": [8, 291, 95, 324], \"label\": \"potato\"},\n {\"box_2d\": [95, 292, 152, 319], \"label\": \"potato\"},\n {\"box_2d\": [150, 289, 229, 322], \"label\": \"potato\"},\n {\"box_2d\": [391, 280, 517, 324], \"label\": \"potato\"},\n {\"box_2d\": [515, 294, 550, 313], \"label\": \"potato\"},\n {\"box_2d\": [549, 291, 608, 316], \"label\": \"potato\"},\n {\"box_2d\": [608, 289, 673, 314], \"label\": \"potato\"},\n {\"box_2d\": [691, 285, 764, 314], \"label\": \"potato\"},\n {\"box_2d\": [8, 340, 64, 365], \"label\": \"potato\"},\n {\"box_2d\": [64, 333, 155, 369], \"label\": \"potato\"},\n {\"box_2d\": [182, 320, 302, 366], \"label\": \"potato\"},\n {\"box_2d\": [301, 330, 399, 367], \"label\": \"potato\"},\n {\"box_2d\": [445, 328, 551, 367], \"label\": \"potato\"},\n {\"box_2d\": [563, 329, 655, 367], \"label\": \"potato\"},\n {\"box_2d\": [654, 334, 714, 359], \"label\": \"potato\"},\n {\"box_2d\": [32, 378, 108, 408], \"label\": \"potato\"},\n {\"box_2d\": [107, 375, 190, 410], \"label\": \"potato\"},\n {\"box_2d\": [189, 376, 272, 410], \"label\": \"potato\"},\n {\"box_2d\": [270, 369, 373, 410], \"label\": \"potato\"},\n {\"box_2d\": [485, 364, 597, 409], \"label\": \"potato\"},\n {\"box_2d\": [621, 368, 713, 404], \"label\": \"potato\"},\n {\"box_2d\": [716, 369, 803, 405], \"label\": \"potato\"},\n {\"box_2d\": [808, 374, 882, 401], \"label\": \"potato\"},\n {\"box_2d\": [75, 420, 158, 454], \"label\": \"potato\"},\n {\"box_2d\": [156, 417, 263, 457], \"label\": \"potato\"},\n {\"box_2d\": [282, 414, 406, 456], \"label\": \"potato\"},\n {\"box_2d\": [410, 415, 507, 452], \"label\": \"potato\"},\n {\"box_2d\": [611, 415, 691, 450], \"label\": \"potato\"},\n {\"box_2d\": [121, 459, 241, 500], \"label\": \"potato\"},\n {\"box_2d\": [312, 454, 434, 502], \"label\": \"potato\"},\n {\"box_2d\": [432, 463, 503, 495], \"label\": \"potato\"},\n {\"box_2d\": [597, 456, 735, 496], \"label\": \"potato\"},\n {\"box_2d\": [734, 448, 841, 494], \"label\": \"potato\"},\n {\"box_2d\": [931, 457, 1000, 488], \"label\": \"potato\"},\n {\"box_2d\": [9, 514, 67, 537], \"label\": \"potato\"},\n {\"box_2d\": [366, 501, 498, 545], \"label\": \"potato\"},\n {\"box_2d\": [826, 494, 951, 545], \"label\": \"potato\"},\n {\"box_2d\": [3, 557, 89, 589], \"label\": \"potato\"},\n {\"box_2d\": [401, 550, 500, 583], \"label\": \"potato\"},\n {\"box_2d\": [833, 545, 920, 578], \"label\": \"potato\"},\n {\"box_2d\": [919, 550, 973, 574], \"label\": \"potato\"},\n {\"box_2d\": [4, 599, 84, 631], \"label\": \"potato\"},\n {\"box_2d\": [157, 590, 286, 646], \"label\": \"potato\"},\n {\"box_2d\": [506, 591, 639, 639], \"label\": \"potato\"},\n {\"box_2d\": [705, 595, 773, 623], \"label\": \"potato\"},\n {\"box_2d\": [25, 631, 152, 680], \"label\": \"potato\"},\n {\"box_2d\": [452, 637, 553, 674], \"label\": \"potato\"},\n {\"box_2d\": [930, 722, 996, 749], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 5343, "elapsed_seconds": 47.30591479095165, "metadata": {"match_method": "map", "num_predictions": 60, "num_ground_truth": 60, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 47.7899}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 217, "image": "signatures_image_15_png_jpg.rf.6b815d82f5451daedc9c9077d66f9599.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [242, 74, 290, 402], \"label\": \"signature\"},\n {\"box_2d\": [230, 467, 281, 825], \"label\": \"signature\"},\n {\"box_2d\": [355, 74, 495, 434], \"label\": \"signature\"},\n {\"box_2d\": [413, 509, 480, 748], \"label\": \"signature\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 471, "elapsed_seconds": 7.080276624998078, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 7.1546}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 218, "image": "lot222_JPEG_jpg.rf.50df16e1f4326083fe341ec20a62dbe4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [168, 501, 188, 543], \"label\": \"chicory seed\"},\n {\"box_2d\": [172, 461, 198, 501], \"label\": \"chicory seed\"},\n {\"box_2d\": [182, 403, 209, 444], \"label\": \"chicory seed\"},\n {\"box_2d\": [189, 488, 210, 534], \"label\": \"chicory seed\"},\n {\"box_2d\": [169, 550, 198, 591], \"label\": \"chicory seed\"},\n {\"box_2d\": [179, 544, 210, 582], \"label\": \"chicory seed\"},\n {\"box_2d\": [192, 571, 226, 605], \"label\": \"chicory seed\"},\n {\"box_2d\": [189, 606, 221, 645], \"label\": \"chicory seed\"},\n {\"box_2d\": [201, 408, 234, 445], \"label\": \"chicory seed\"},\n {\"box_2d\": [193, 444, 231, 464], \"label\": \"chicory seed\"},\n {\"box_2d\": [200, 468, 241, 490], \"label\": \"chicory seed\"},\n {\"box_2d\": [208, 340, 229, 382], \"label\": \"chicory seed\"},\n {\"box_2d\": [228, 369, 250, 412], \"label\": \"chicory seed\"},\n {\"box_2d\": [247, 372, 267, 415], \"label\": \"chicory seed\"},\n {\"box_2d\": [217, 532, 254, 569], \"label\": \"chicory seed\"},\n {\"box_2d\": [231, 489, 264, 529], \"label\": \"chicory seed\"},\n {\"box_2d\": [243, 501, 275, 542], \"label\": \"chicory seed\"},\n {\"box_2d\": [242, 465, 279, 496], \"label\": \"chicory seed\"},\n {\"box_2d\": [246, 426, 288, 456], \"label\": \"chicory seed\"},\n {\"box_2d\": [225, 591, 264, 617], \"label\": \"chicory seed\"},\n {\"box_2d\": [199, 656, 234, 692], \"label\": \"chicory seed\"},\n {\"box_2d\": [222, 640, 248, 684], \"label\": \"chicory seed\"},\n {\"box_2d\": [218, 695, 252, 730], \"label\": \"chicory seed\"},\n {\"box_2d\": [248, 648, 271, 689], \"label\": \"chicory seed\"},\n {\"box_2d\": [248, 694, 270, 736], \"label\": \"chicory seed\"},\n {\"box_2d\": [250, 733, 290, 756], \"label\": \"chicory seed\"},\n {\"box_2d\": [258, 759, 298, 788], \"label\": \"chicory seed\"},\n {\"box_2d\": [240, 305, 268, 347], \"label\": \"chicory seed\"},\n {\"box_2d\": [246, 278, 284, 307], \"label\": \"chicory seed\"},\n {\"box_2d\": [268, 244, 305, 278], \"label\": \"chicory seed\"},\n {\"box_2d\": [276, 280, 303, 319], \"label\": \"chicory seed\"},\n {\"box_2d\": [262, 330, 302, 356], \"label\": \"chicory seed\"},\n {\"box_2d\": [262, 356, 307, 383], \"label\": \"chicory seed\"},\n {\"box_2d\": [266, 396, 307, 421], \"label\": \"chicory seed\"},\n {\"box_2d\": [274, 439, 302, 480], \"label\": \"chicory seed\"},\n {\"box_2d\": [292, 443, 319, 484], \"label\": \"chicory seed\"},\n {\"box_2d\": [272, 487, 292, 530], \"label\": \"chicory seed\"},\n {\"box_2d\": [252, 536, 279, 579], \"label\": \"chicory seed\"},\n {\"box_2d\": [264, 578, 286, 621], \"label\": \"chicory seed\"},\n {\"box_2d\": [276, 545, 313, 579], \"label\": \"chicory seed\"},\n {\"box_2d\": [281, 512, 306, 553], \"label\": \"chicory seed\"},\n {\"box_2d\": [264, 634, 291, 676], \"label\": \"chicory seed\"},\n {\"box_2d\": [274, 678, 312, 699], \"label\": \"chicory seed\"},\n {\"box_2d\": [269, 701, 308, 722], \"label\": \"chicory seed\"},\n {\"box_2d\": [281, 720, 319, 748], \"label\": \"chicory seed\"},\n {\"box_2d\": [291, 742, 321, 777], \"label\": \"chicory seed\"},\n {\"box_2d\": [292, 303, 325, 342], \"label\": \"chicory seed\"},\n {\"box_2d\": [306, 259, 330, 299], \"label\": \"chicory seed\"},\n {\"box_2d\": [313, 209, 336, 251], \"label\": \"chicory seed\"},\n {\"box_2d\": [332, 214, 353, 257], \"label\": \"chicory seed\"},\n {\"box_2d\": [325, 283, 354, 321], \"label\": \"chicory seed\"},\n {\"box_2d\": [321, 313, 358, 344], \"label\": \"chicory seed\"},\n {\"box_2d\": [313, 356, 334, 400], \"label\": \"chicory seed\"},\n {\"box_2d\": [309, 395, 338, 436], \"label\": \"chicory seed\"},\n {\"box_2d\": [302, 497, 323, 540], \"label\": \"chicory seed\"},\n {\"box_2d\": [318, 535, 339, 579], \"label\": \"chicory seed\"},\n {\"box_2d\": [327, 499, 348, 544], \"label\": \"chicory seed\"},\n {\"box_2d\": [338, 538, 369, 583], \"label\": \"chicory seed\"},\n {\"box_2d\": [319, 444, 361, 466], \"label\": \"chicory seed\"},\n {\"box_2d\": [320, 465, 361, 493], \"label\": \"chicory seed\"},\n {\"box_2d\": [339, 490, 379, 513], \"label\": \"chicory seed\"},\n {\"box_2d\": [299, 612, 339, 640], \"label\": \"chicory seed\"},\n {\"box_2d\": [337, 614, 370, 650], \"label\": \"chicory seed\"},\n {\"box_2d\": [312, 698, 347, 736], \"label\": \"chicory seed\"},\n {\"box_2d\": [324, 719, 358, 753], \"label\": \"chicory seed\"},\n {\"box_2d\": [319, 754, 339, 797], \"label\": \"chicory seed\"},\n {\"box_2d\": [333, 794, 358, 835], \"label\": \"chicory seed\"},\n {\"box_2d\": [354, 819, 390, 853], \"label\": \"chicory seed\"},\n {\"box_2d\": [363, 801, 403, 823], \"label\": \"chicory seed\"},\n {\"box_2d\": [363, 730, 385, 773], \"label\": \"chicory seed\"},\n {\"box_2d\": [362, 698, 399, 734], \"label\": \"chicory seed\"},\n {\"box_2d\": [365, 678, 404, 709], \"label\": \"chicory seed\"},\n {\"box_2d\": [373, 614, 400, 658], \"label\": \"chicory seed\"},\n {\"box_2d\": [346, 245, 377, 285], \"label\": \"chicory seed\"},\n {\"box_2d\": [357, 267, 394, 300], \"label\": \"chicory seed\"},\n {\"box_2d\": [374, 276, 408, 311], \"label\": \"chicory seed\"},\n {\"box_2d\": [355, 299, 382, 338], \"label\": \"chicory seed\"},\n {\"box_2d\": [345, 342, 385, 370], \"label\": \"chicory seed\"},\n {\"box_2d\": [347, 365, 382, 397], \"label\": \"chicory seed\"},\n {\"box_2d\": [346, 421, 383, 458], \"label\": \"chicory seed\"},\n {\"box_2d\": [375, 470, 407, 509], \"label\": \"chicory seed\"},\n {\"box_2d\": [372, 381, 394, 419], \"label\": \"chicory seed\"},\n {\"box_2d\": [380, 365, 417, 395], \"label\": \"chicory seed\"},\n {\"box_2d\": [387, 404, 415, 444], \"label\": \"chicory seed\"},\n {\"box_2d\": [394, 290, 433, 321], \"label\": \"chicory seed\"},\n {\"box_2d\": [399, 309, 431, 346], \"label\": \"chicory seed\"},\n {\"box_2d\": [396, 217, 426, 255], \"label\": \"chicory seed\"},\n {\"box_2d\": [401, 254, 436, 290], \"label\": \"chicory seed\"},\n {\"box_2d\": [410, 170, 431, 215], \"label\": \"chicory seed\"},\n {\"box_2d\": [429, 172, 450, 210], \"label\": \"chicory seed\"},\n {\"box_2d\": [414, 218, 442, 260], \"label\": \"chicory seed\"},\n {\"box_2d\": [432, 230, 461, 270], \"label\": \"chicory seed\"},\n {\"box_2d\": [445, 187, 477, 226], \"label\": \"chicory seed\"},\n {\"box_2d\": [466, 195, 490, 236], \"label\": \"chicory seed\"},\n {\"box_2d\": [430, 282, 459, 323], \"label\": \"chicory seed\"},\n {\"box_2d\": [413, 337, 446, 375], \"label\": \"chicory seed\"},\n {\"box_2d\": [427, 364, 464, 388], \"label\": \"chicory seed\"},\n {\"box_2d\": [416, 393, 454, 418], \"label\": \"chicory seed\"},\n {\"box_2d\": [406, 417, 445, 446], \"label\": \"chicory seed\"},\n {\"box_2d\": [407, 436, 446, 468], \"label\": \"chicory seed\"},\n {\"box_2d\": [443, 424, 476, 461], \"label\": \"chicory seed\"},\n {\"box_2d\": [431, 478, 454, 521], \"label\": \"chicory seed\"},\n {\"box_2d\": [456, 463, 475, 504], \"label\": \"chicory seed\"},\n {\"box_2d\": [440, 500, 480, 529], \"label\": \"chicory seed\"},\n {\"box_2d\": [394, 531, 435, 558], \"label\": \"chicory seed\"},\n {\"box_2d\": [433, 521, 471, 555], \"label\": \"chicory seed\"},\n {\"box_2d\": [413, 555, 454, 578], \"label\": \"chicory seed\"},\n {\"box_2d\": [410, 574, 451, 595], \"label\": \"chicory seed\"},\n {\"box_2d\": [426, 594, 465, 621], \"label\": \"chicory seed\"},\n {\"box_2d\": [413, 611, 438, 654], \"label\": \"chicory seed\"},\n {\"box_2d\": [398, 654, 420, 697], \"label\": \"chicory seed\"},\n {\"box_2d\": [424, 650, 464, 677], \"label\": \"chicory seed\"},\n {\"box_2d\": [427, 678, 462, 710], \"label\": \"chicory seed\"},\n {\"box_2d\": [415, 687, 446, 722], \"label\": \"chicory seed\"},\n {\"box_2d\": [405, 720, 427, 763], \"label\": \"chicory seed\"},\n {\"box_2d\": [396, 767, 430, 804], \"label\": \"chicory seed\"},\n {\"box_2d\": [420, 751, 444, 792], \"label\": \"chicory seed\"},\n {\"box_2d\": [432, 744, 462, 783], \"label\": \"chicory seed\"},\n {\"box_2d\": [413, 830, 452, 865], \"label\": \"chicory seed\"},\n {\"box_2d\": [445, 856, 485, 882], \"label\": \"chicory seed\"},\n {\"box_2d\": [477, 163, 518, 182], \"label\": \"chicory seed\"},\n {\"box_2d\": [528, 173, 561, 212], \"label\": \"chicory seed\"},\n {\"box_2d\": [455, 236, 493, 265], \"label\": \"chicory seed\"},\n {\"box_2d\": [451, 264, 494, 286], \"label\": \"chicory seed\"},\n {\"box_2d\": [486, 228, 517, 267], \"label\": \"chicory seed\"},\n {\"box_2d\": [509, 229, 540, 266], \"label\": \"chicory seed\"},\n {\"box_2d\": [448, 298, 481, 336], \"label\": \"chicory seed\"},\n {\"box_2d\": [469, 300, 501, 338], \"label\": \"chicory seed\"},\n {\"box_2d\": [481, 315, 510, 357], \"label\": \"chicory seed\"},\n {\"box_2d\": [500, 273, 520, 314], \"label\": \"chicory seed\"},\n {\"box_2d\": [509, 264, 542, 303], \"label\": \"chicory seed\"},\n {\"box_2d\": [533, 245, 566, 286], \"label\": \"chicory seed\"},\n {\"box_2d\": [561, 211, 590, 252], \"label\": \"chicory seed\"},\n {\"box_2d\": [575, 256, 604, 294], \"label\": \"chicory seed\"},\n {\"box_2d\": [553, 285, 593, 314], \"label\": \"chicory seed\"},\n {\"box_2d\": [525, 302, 567, 325], \"label\": \"chicory seed\"},\n {\"box_2d\": [532, 319, 573, 350], \"label\": \"chicory seed\"},\n {\"box_2d\": [513, 329, 550, 356], \"label\": \"chicory seed\"},\n {\"box_2d\": [510, 342, 548, 377], \"label\": \"chicory seed\"},\n {\"box_2d\": [507, 366, 542, 403], \"label\": \"chicory seed\"},\n {\"box_2d\": [471, 364, 490, 407], \"label\": \"chicory seed\"},\n {\"box_2d\": [488, 363, 508, 406], \"label\": \"chicory seed\"},\n {\"box_2d\": [467, 404, 505, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [501, 392, 528, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [523, 402, 544, 444], \"label\": \"chicory seed\"},\n {\"box_2d\": [497, 424, 530, 463], \"label\": \"chicory seed\"},\n {\"box_2d\": [471, 441, 496, 480], \"label\": \"chicory seed\"},\n {\"box_2d\": [489, 463, 530, 488], \"label\": \"chicory seed\"},\n {\"box_2d\": [491, 482, 530, 506], \"label\": \"chicory seed\"},\n {\"box_2d\": [470, 513, 512, 536], \"label\": \"chicory seed\"},\n {\"box_2d\": [513, 499, 532, 541], \"label\": \"chicory seed\"},\n {\"box_2d\": [451, 536, 490, 569], \"label\": \"chicory seed\"},\n {\"box_2d\": [456, 556, 494, 587], \"label\": \"chicory seed\"},\n {\"box_2d\": [470, 566, 507, 604], \"label\": \"chicory seed\"},\n {\"box_2d\": [499, 537, 523, 579], \"label\": \"chicory seed\"},\n {\"box_2d\": [476, 593, 508, 635], \"label\": \"chicory seed\"},\n {\"box_2d\": [445, 638, 487, 661], \"label\": \"chicory seed\"},\n {\"box_2d\": [485, 657, 526, 683], \"label\": \"chicory seed\"},\n {\"box_2d\": [463, 676, 485, 720], \"label\": \"chicory seed\"},\n {\"box_2d\": [493, 681, 525, 720], \"label\": \"chicory seed\"},\n {\"box_2d\": [462, 722, 484, 763], \"label\": \"chicory seed\"},\n {\"box_2d\": [480, 714, 502, 756], \"label\": \"chicory seed\"},\n {\"box_2d\": [464, 755, 504, 780], \"label\": \"chicory seed\"},\n {\"box_2d\": [502, 727, 530, 768], \"label\": \"chicory seed\"},\n {\"box_2d\": [516, 718, 552, 758], \"label\": \"chicory seed\"},\n {\"box_2d\": [491, 763, 524, 801], \"label\": \"chicory seed\"},\n {\"box_2d\": [466, 797, 493, 840], \"label\": \"chicory seed\"},\n {\"box_2d\": [485, 797, 511, 839], \"label\": \"chicory seed\"},\n {\"box_2d\": [511, 792, 532, 836], \"label\": \"chicory seed\"},\n {\"box_2d\": [531, 763, 553, 806], \"label\": \"chicory seed\"},\n {\"box_2d\": [513, 857, 554, 878], \"label\": \"chicory seed\"},\n {\"box_2d\": [533, 811, 565, 850], \"label\": \"chicory seed\"},\n {\"box_2d\": [551, 783, 586, 821], \"label\": \"chicory seed\"},\n {\"box_2d\": [574, 845, 613, 868], \"label\": \"chicory seed\"},\n {\"box_2d\": [543, 366, 564, 409], \"label\": \"chicory seed\"},\n {\"box_2d\": [543, 347, 581, 374], \"label\": \"chicory seed\"},\n {\"box_2d\": [556, 406, 592, 444], \"label\": \"chicory seed\"},\n {\"box_2d\": [546, 428, 567, 472], \"label\": \"chicory seed\"},\n {\"box_2d\": [531, 500, 576, 523], \"label\": \"chicory seed\"},\n {\"box_2d\": [520, 544, 555, 582], \"label\": \"chicory seed\"},\n {\"box_2d\": [508, 578, 550, 601], \"label\": \"chicory seed\"},\n {\"box_2d\": [506, 603, 546, 625], \"label\": \"chicory seed\"},\n {\"box_2d\": [527, 622, 549, 665], \"label\": \"chicory seed\"},\n {\"box_2d\": [526, 665, 555, 706], \"label\": \"chicory seed\"},\n {\"box_2d\": [526, 704, 566, 738], \"label\": \"chicory seed\"},\n {\"box_2d\": [550, 670, 575, 713], \"label\": \"chicory seed\"},\n {\"box_2d\": [546, 476, 585, 504], \"label\": \"chicory seed\"},\n {\"box_2d\": [558, 466, 601, 492], \"label\": \"chicory seed\"},\n {\"box_2d\": [552, 525, 592, 558], \"label\": \"chicory seed\"},\n {\"box_2d\": [537, 535, 573, 572], \"label\": \"chicory seed\"},\n {\"box_2d\": [546, 575, 573, 618], \"label\": \"chicory seed\"},\n {\"box_2d\": [566, 581, 589, 624], \"label\": \"chicory seed\"},\n {\"box_2d\": [562, 623, 589, 667], \"label\": \"chicory seed\"},\n {\"box_2d\": [575, 319, 593, 363], \"label\": \"chicory seed\"},\n {\"box_2d\": [588, 311, 610, 354], \"label\": \"chicory seed\"},\n {\"box_2d\": [568, 371, 594, 412], \"label\": \"chicory seed\"},\n {\"box_2d\": [579, 364, 615, 404], \"label\": \"chicory seed\"},\n {\"box_2d\": [585, 403, 615, 443], \"label\": \"chicory seed\"},\n {\"box_2d\": [579, 444, 618, 467], \"label\": \"chicory seed\"},\n {\"box_2d\": [578, 496, 599, 539], \"label\": \"chicory seed\"},\n {\"box_2d\": [594, 525, 621, 568], \"label\": \"chicory seed\"},\n {\"box_2d\": [572, 559, 610, 591], \"label\": \"chicory seed\"},\n {\"box_2d\": [590, 590, 625, 630], \"label\": \"chicory seed\"},\n {\"box_2d\": [583, 619, 618, 659], \"label\": \"chicory seed\"},\n {\"box_2d\": [582, 659, 623, 684], \"label\": \"chicory seed\"},\n {\"box_2d\": [584, 676, 625, 708], \"label\": \"chicory seed\"},\n {\"box_2d\": [574, 687, 613, 720], \"label\": \"chicory seed\"},\n {\"box_2d\": [565, 711, 607, 735], \"label\": \"chicory seed\"},\n {\"box_2d\": [567, 735, 608, 759], \"label\": \"chicory seed\"},\n {\"box_2d\": [566, 756, 593, 798], \"label\": \"chicory seed\"},\n {\"box_2d\": [588, 757, 618, 799], \"label\": \"chicory seed\"},\n {\"box_2d\": [591, 802, 625, 842], \"label\": \"chicory seed\"},\n {\"box_2d\": [608, 258, 641, 294], \"label\": \"chicory seed\"},\n {\"box_2d\": [616, 297, 658, 320], \"label\": \"chicory seed\"},\n {\"box_2d\": [604, 308, 639, 348], \"label\": \"chicory seed\"},\n {\"box_2d\": [592, 353, 635, 374], \"label\": \"chicory seed\"},\n {\"box_2d\": [612, 368, 652, 392], \"label\": \"chicory seed\"},\n {\"box_2d\": [607, 391, 630, 433], \"label\": \"chicory seed\"},\n {\"box_2d\": [615, 409, 646, 451], \"label\": \"chicory seed\"},\n {\"box_2d\": [601, 452, 628, 495], \"label\": \"chicory seed\"},\n {\"box_2d\": [595, 489, 617, 525], \"label\": \"chicory seed\"},\n {\"box_2d\": [614, 488, 646, 528], \"label\": \"chicory seed\"},\n {\"box_2d\": [616, 525, 646, 569], \"label\": \"chicory seed\"},\n {\"box_2d\": [631, 545, 663, 587], \"label\": \"chicory seed\"},\n {\"box_2d\": [622, 590, 643, 634], \"label\": \"chicory seed\"},\n {\"box_2d\": [601, 645, 642, 666], \"label\": \"chicory seed\"},\n {\"box_2d\": [622, 661, 663, 686], \"label\": \"chicory seed\"},\n {\"box_2d\": [609, 711, 631, 754], \"label\": \"chicory seed\"},\n {\"box_2d\": [626, 717, 647, 761], \"label\": \"chicory seed\"},\n {\"box_2d\": [614, 758, 635, 800], \"label\": \"chicory seed\"},\n {\"box_2d\": [631, 793, 655, 837], \"label\": \"chicory seed\"},\n {\"box_2d\": [636, 761, 672, 798], \"label\": \"chicory seed\"},\n {\"box_2d\": [645, 713, 666, 758], \"label\": \"chicory seed\"},\n {\"box_2d\": [661, 718, 693, 761], \"label\": \"chicory seed\"},\n {\"box_2d\": [641, 217, 683, 240], \"label\": \"chicory seed\"},\n {\"box_2d\": [640, 315, 676, 353], \"label\": \"chicory seed\"},\n {\"box_2d\": [647, 338, 682, 378], \"label\": \"chicory seed\"},\n {\"box_2d\": [629, 377, 669, 406], \"label\": \"chicory seed\"},\n {\"box_2d\": [667, 349, 702, 387], \"label\": \"chicory seed\"},\n {\"box_2d\": [653, 386, 695, 410], \"label\": \"chicory seed\"},\n {\"box_2d\": [650, 412, 692, 436], \"label\": \"chicory seed\"},\n {\"box_2d\": [658, 426, 699, 452], \"label\": \"chicory seed\"},\n {\"box_2d\": [626, 435, 661, 474], \"label\": \"chicory seed\"},\n {\"box_2d\": [623, 460, 664, 490], \"label\": \"chicory seed\"},\n {\"box_2d\": [635, 477, 678, 501], \"label\": \"chicory seed\"},\n {\"box_2d\": [642, 498, 683, 521], \"label\": \"chicory seed\"},\n {\"box_2d\": [654, 514, 696, 546], \"label\": \"chicory seed\"},\n {\"box_2d\": [668, 453, 703, 491], \"label\": \"chicory seed\"},\n {\"box_2d\": [681, 494, 720, 519], \"label\": \"chicory seed\"},\n {\"box_2d\": [644, 572, 678, 610], \"label\": \"chicory seed\"},\n {\"box_2d\": [664, 560, 693, 603], \"label\": \"chicory seed\"},\n {\"box_2d\": [689, 542, 710, 589], \"label\": \"chicory seed\"},\n {\"box_2d\": [640, 611, 671, 651], \"label\": \"chicory seed\"},\n {\"box_2d\": [647, 634, 677, 674], \"label\": \"chicory seed\"},\n {\"box_2d\": [641, 678, 682, 702], \"label\": \"chicory seed\"},\n {\"box_2d\": [672, 641, 707, 681], \"label\": \"chicory seed\"},\n {\"box_2d\": [681, 700, 705, 743], \"label\": \"chicory seed\"},\n {\"box_2d\": [695, 679, 716, 722], \"label\": \"chicory seed\"},\n {\"box_2d\": [683, 608, 721, 643], \"label\": \"chicory seed\"},\n {\"box_2d\": [679, 789, 720, 817], \"label\": \"chicory seed\"},\n {\"box_2d\": [700, 717, 728, 759], \"label\": \"chicory seed\"},\n {\"box_2d\": [683, 291, 709, 330], \"label\": \"chicory seed\"},\n {\"box_2d\": [695, 234, 728, 272], \"label\": \"chicory seed\"},\n {\"box_2d\": [702, 273, 742, 296], \"label\": \"chicory seed\"},\n {\"box_2d\": [707, 315, 749, 338], \"label\": \"chicory seed\"},\n {\"box_2d\": [725, 289, 765, 314], \"label\": \"chicory seed\"},\n {\"box_2d\": [739, 253, 773, 292], \"label\": \"chicory seed\"},\n {\"box_2d\": [763, 287, 782, 331], \"label\": \"chicory seed\"},\n {\"box_2d\": [726, 336, 746, 376], \"label\": \"chicory seed\"},\n {\"box_2d\": [769, 316, 806, 349], \"label\": \"chicory seed\"},\n {\"box_2d\": [733, 387, 774, 408], \"label\": \"chicory seed\"},\n {\"box_2d\": [763, 360, 787, 402], \"label\": \"chicory seed\"},\n {\"box_2d\": [796, 362, 815, 401], \"label\": \"chicory seed\"},\n {\"box_2d\": [811, 358, 837, 400], \"label\": \"chicory seed\"},\n {\"box_2d\": [775, 405, 818, 430], \"label\": \"chicory seed\"},\n {\"box_2d\": [719, 414, 740, 454], \"label\": \"chicory seed\"},\n {\"box_2d\": [709, 461, 750, 491], \"label\": \"chicory seed\"},\n {\"box_2d\": [716, 489, 744, 531], \"label\": \"chicory seed\"},\n {\"box_2d\": [700, 515, 741, 545], \"label\": \"chicory seed\"},\n {\"box_2d\": [745, 448, 773, 490], \"label\": \"chicory seed\"},\n {\"box_2d\": [741, 488, 761, 529], \"label\": \"chicory seed\"},\n {\"box_2d\": [758, 482, 787, 524], \"label\": \"chicory seed\"},\n {\"box_2d\": [776, 441, 818, 462], \"label\": \"chicory seed\"},\n {\"box_2d\": [768, 458, 811, 485], \"label\": \"chicory seed\"},\n {\"box_2d\": [790, 488, 830, 516], \"label\": \"chicory seed\"},\n {\"box_2d\": [737, 539, 778, 560], \"label\": \"chicory seed\"},\n {\"box_2d\": [785, 518, 813, 560], \"label\": \"chicory seed\"},\n {\"box_2d\": [814, 535, 834, 583], \"label\": \"chicory seed\"},\n {\"box_2d\": [711, 562, 751, 598], \"label\": \"chicory seed\"},\n {\"box_2d\": [720, 581, 755, 625], \"label\": \"chicory seed\"},\n {\"box_2d\": [751, 594, 785, 628], \"label\": \"chicory seed\"},\n {\"box_2d\": [771, 608, 809, 633], \"label\": \"chicory seed\"},\n {\"box_2d\": [794, 637, 833, 659], \"label\": \"chicory seed\"},\n {\"box_2d\": [759, 634, 796, 669], \"label\": \"chicory seed\"},\n {\"box_2d\": [744, 645, 772, 686], \"label\": \"chicory seed\"},\n {\"box_2d\": [723, 663, 744, 706], \"label\": \"chicory seed\"},\n {\"box_2d\": [737, 692, 758, 738], \"label\": \"chicory seed\"},\n {\"box_2d\": [723, 735, 768, 756], \"label\": \"chicory seed\"},\n {\"box_2d\": [775, 672, 800, 714], \"label\": \"chicory seed\"},\n {\"box_2d\": [795, 656, 818, 700], \"label\": \"chicory seed\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 18267, "elapsed_seconds": 118.65783904097043, "metadata": {"match_method": "map", "num_predictions": 300, "num_ground_truth": 299, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3366336524486542, "attempts": 1, "retries": 0, "total_seconds": 118.7899}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 219, "image": "66_png.rf.39bf6d177f61078e6d35cc7449f636fc.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [32, 260, 95, 309], \"label\": \"not gate symbol\"},\n {\"box_2d\": [250, 108, 322, 153], \"label\": \"not gate symbol\"},\n {\"box_2d\": [250, 161, 322, 205], \"label\": \"not gate symbol\"},\n {\"box_2d\": [411, 503, 483, 547], \"label\": \"not gate symbol\"},\n {\"box_2d\": [658, 260, 720, 309], \"label\": \"not gate symbol\"},\n {\"box_2d\": [905, 260, 968, 309], \"label\": \"not gate symbol\"},\n {\"box_2d\": [156, 252, 237, 331], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [175, 567, 256, 647], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [327, 252, 409, 332], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [478, 567, 560, 647], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [554, 777, 636, 856], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [630, 567, 712, 647], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [782, 567, 864, 647], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [801, 777, 883, 857], \"label\": \"nand gate symbol\"}\n]\n```", "correct": true, "input_tokens": 1222, "output_tokens": 1354, "elapsed_seconds": 12.869998916983604, "metadata": {"match_method": "map", "num_predictions": 14, "num_ground_truth": 14, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 12.8768}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 220, "image": "car-part-detection_Car-damages-1497_png_jpg.rf.e852cda680508c1a167266952897c9ec.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [259, 116, 406, 206], \"label\": \"back windshield\"},\n {\"box_2d\": [427, 97, 545, 165], \"label\": \"tail light\"},\n {\"box_2d\": [540, 81, 755, 179], \"label\": \"back bumper\"},\n {\"box_2d\": [248, 250, 425, 478], \"label\": \"back window\"},\n {\"box_2d\": [244, 231, 732, 504], \"label\": \"back door\"},\n {\"box_2d\": [252, 506, 464, 749], \"label\": \"front window\"},\n {\"box_2d\": [246, 486, 728, 783], \"label\": \"front door\"},\n {\"box_2d\": [400, 735, 463, 767], \"label\": \"mirror\"},\n {\"box_2d\": [258, 633, 421, 853], \"label\": \"windshield\"},\n {\"box_2d\": [387, 825, 475, 950], \"label\": \"hood\"},\n {\"box_2d\": [450, 898, 540, 977], \"label\": \"headlight\"},\n {\"box_2d\": [525, 931, 743, 991], \"label\": \"front bumper\"}\n]\n```", "correct": true, "input_tokens": 1232, "output_tokens": 1311, "elapsed_seconds": 12.777484667021781, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 14, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8754124641418457, "attempts": 1, "retries": 0, "total_seconds": 12.7956}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 221, "image": "51_jpg.rf.058febb668fb3dcd1ddaf96ac46d336e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [60, 193, 383, 245], \"label\": \"blood sample tube\"},\n {\"box_2d\": [46, 281, 165, 518], \"label\": \"blood sample tube\"},\n {\"box_2d\": [149, 232, 396, 425], \"label\": \"blood sample tube\"},\n {\"box_2d\": [270, 283, 571, 405], \"label\": \"blood sample tube\"},\n {\"box_2d\": [350, 198, 635, 338], \"label\": \"blood sample tube\"},\n {\"box_2d\": [42, 468, 108, 709], \"label\": \"blood sample tube\"},\n {\"box_2d\": [37, 712, 102, 954], \"label\": \"blood sample tube\"},\n {\"box_2d\": [87, 662, 158, 916], \"label\": \"blood sample tube\"},\n {\"box_2d\": [103, 520, 224, 761], \"label\": \"blood sample tube\"},\n {\"box_2d\": [167, 570, 300, 811], \"label\": \"blood sample tube\"},\n {\"box_2d\": [167, 431, 319, 659], \"label\": \"blood sample tube\"},\n {\"box_2d\": [116, 775, 380, 959], \"label\": \"blood sample tube\"},\n {\"box_2d\": [182, 859, 497, 969], \"label\": \"blood sample tube\"},\n {\"box_2d\": [278, 654, 572, 812], \"label\": \"blood sample tube\"},\n {\"box_2d\": [380, 471, 658, 640], \"label\": \"blood sample tube\"},\n {\"box_2d\": [484, 613, 668, 851], \"label\": \"blood sample tube\"},\n {\"box_2d\": [583, 643, 756, 886], \"label\": \"blood sample tube\"},\n {\"box_2d\": [522, 326, 634, 567], \"label\": \"blood sample tube\"},\n {\"box_2d\": [584, 333, 697, 571], \"label\": \"blood sample tube\"},\n {\"box_2d\": [658, 196, 760, 441], \"label\": \"blood sample tube\"},\n {\"box_2d\": [686, 412, 758, 656], \"label\": \"blood sample tube\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 2529, "elapsed_seconds": 22.54840458300896, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 21, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 22.5768}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 222, "image": "161056d_JPG_jpg.rf.9a7d680b73d40b7f57e4788c75d35faa.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [258, 395, 360, 530], \"label\": \"cracked insulator\"},\n {\"box_2d\": [467, 392, 565, 521], \"label\": \"cracked insulator\"}\n]\n```", "correct": false, "input_tokens": 1217, "output_tokens": 4429, "elapsed_seconds": 60.447355333017185, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5049505233764648, "attempts": 1, "retries": 0, "total_seconds": 61.0298}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 223, "image": "signatures_image_176_png_jpg.rf.ba5b095c7ba79857b44be19e553b8621.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [528, 184, 581, 261], \"label\": \"signature\"},\n {\"box_2d\": [577, 184, 612, 220], \"label\": \"signature\"},\n {\"box_2d\": [562, 452, 597, 487], \"label\": \"signature\"},\n {\"box_2d\": [551, 656, 591, 717], \"label\": \"signature\"},\n {\"box_2d\": [591, 805, 634, 896], \"label\": \"signature\"}\n]\n```", "correct": true, "input_tokens": 1228, "output_tokens": 635, "elapsed_seconds": 11.830266666016541, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 12.0013}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 224, "image": "floorplan-windows-doors_10363_png.rf.022a393bcce41347db46c0ae8f821ac1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [108, 81, 193, 100], \"label\": \"window\"},\n {\"box_2d\": [328, 81, 358, 101], \"label\": \"window\"},\n {\"box_2d\": [173, 247, 228, 308], \"label\": \"door\"},\n {\"box_2d\": [205, 310, 244, 358], \"label\": \"door\"},\n {\"box_2d\": [167, 442, 222, 502], \"label\": \"door\"},\n {\"box_2d\": [246, 386, 293, 440], \"label\": \"door\"},\n {\"box_2d\": [258, 527, 305, 586], \"label\": \"door\"},\n {\"box_2d\": [128, 691, 168, 710], \"label\": \"window\"},\n {\"box_2d\": [168, 637, 223, 763], \"label\": \"door\"},\n {\"box_2d\": [283, 686, 319, 708], \"label\": \"window\"},\n {\"box_2d\": [458, 77, 590, 96], \"label\": \"window\"},\n {\"box_2d\": [600, 311, 642, 360], \"label\": \"door\"},\n {\"box_2d\": [642, 368, 701, 439], \"label\": \"door\"},\n {\"box_2d\": [729, 367, 787, 422], \"label\": \"door\"},\n {\"box_2d\": [484, 691, 534, 711], \"label\": \"window\"},\n {\"box_2d\": [534, 635, 590, 709], \"label\": \"door\"},\n {\"box_2d\": [590, 691, 672, 712], \"label\": \"window\"}\n]\n```", "correct": true, "input_tokens": 1223, "output_tokens": 2842, "elapsed_seconds": 29.12369787506759, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 19, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8678217530250549, "attempts": 1, "retries": 0, "total_seconds": 29.1653}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 225, "image": "paper-parts_194472_30_jpg.rf.b0a602d4dcc7284ce0bac985bedfd7a6.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [93, 176, 213, 882], \"label\": \"paragraph\"},\n {\"box_2d\": [232, 176, 248, 417], \"label\": \"paragraph\"},\n {\"box_2d\": [267, 176, 352, 882], \"label\": \"paragraph\"},\n {\"box_2d\": [380, 420, 529, 699], \"label\": \"figure\"},\n {\"box_2d\": [551, 446, 567, 671], \"label\": \"figure caption\"},\n {\"box_2d\": [586, 235, 621, 683], \"label\": \"paragraph\"},\n {\"box_2d\": [629, 402, 661, 654], \"label\": \"equation\"},\n {\"box_2d\": [669, 453, 695, 604], \"label\": \"equation\"},\n {\"box_2d\": [703, 456, 738, 882], \"label\": \"equation\"},\n {\"box_2d\": [747, 176, 798, 882], \"label\": \"paragraph\"},\n {\"box_2d\": [817, 235, 859, 646], \"label\": \"paragraph\"},\n {\"box_2d\": [867, 389, 883, 667], \"label\": \"equation\"},\n {\"box_2d\": [885, 520, 900, 538], \"label\": \"page number\"}\n]\n```", "correct": false, "input_tokens": 1248, "output_tokens": 4028, "elapsed_seconds": 44.09372354100924, "metadata": {"match_method": "map", "num_predictions": 13, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6465345621109009, "attempts": 2, "retries": 1, "total_seconds": 106.5822, "transient_errors": ["RemoteProtocolError"]}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 226, "image": "IMG_6641_jpeg_jpg.rf.d4a1ba083ff18ae1c9807cc69a86b03e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [569, 4, 598, 198], \"label\": \"blue poker chip\"},\n {\"box_2d\": [592, 4, 616, 195], \"label\": \"blue poker chip\"},\n {\"box_2d\": [609, 3, 633, 195], \"label\": \"blue poker chip\"},\n {\"box_2d\": [626, 2, 652, 194], \"label\": \"blue poker chip\"},\n {\"box_2d\": [643, 1, 669, 194], \"label\": \"blue poker chip\"},\n {\"box_2d\": [659, 1, 688, 194], \"label\": \"blue poker chip\"},\n {\"box_2d\": [675, 1, 706, 194], \"label\": \"blue poker chip\"},\n {\"box_2d\": [513, 198, 533, 379], \"label\": \"green poker chip\"},\n {\"box_2d\": [530, 197, 549, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [546, 197, 566, 379], \"label\": \"green poker chip\"},\n {\"box_2d\": [563, 196, 584, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [579, 196, 601, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [595, 196, 618, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [611, 195, 636, 377], \"label\": \"green poker chip\"},\n {\"box_2d\": [627, 195, 654, 377], \"label\": \"green poker chip\"},\n {\"box_2d\": [643, 195, 672, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [660, 195, 690, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [677, 195, 709, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [428, 384, 450, 561], \"label\": \"red poker chip\"},\n {\"box_2d\": [446, 384, 467, 562], \"label\": \"red poker chip\"},\n {\"box_2d\": [463, 384, 483, 562], \"label\": \"red poker chip\"},\n {\"box_2d\": [480, 384, 499, 563], \"label\": \"red poker chip\"},\n {\"box_2d\": [497, 384, 516, 564], \"label\": \"red poker chip\"},\n {\"box_2d\": [514, 384, 533, 564], \"label\": \"red poker chip\"},\n {\"box_2d\": [531, 384, 550, 564], \"label\": \"red poker chip\"},\n {\"box_2d\": [547, 384, 566, 565], \"label\": \"red poker chip\"},\n {\"box_2d\": [563, 385, 584, 565], \"label\": \"red poker chip\"},\n {\"box_2d\": [579, 385, 601, 565], \"label\": \"red poker chip\"},\n {\"box_2d\": [595, 385, 619, 565], \"label\": \"red poker chip\"},\n {\"box_2d\": [611, 386, 636, 565], \"label\": \"red poker chip\"},\n {\"box_2d\": [627, 386, 654, 566], \"label\": \"red poker chip\"},\n {\"box_2d\": [643, 385, 672, 566], \"label\": \"red poker chip\"},\n {\"box_2d\": [659, 386, 690, 567], \"label\": \"red poker chip\"},\n {\"box_2d\": [675, 386, 708, 568], \"label\": \"red poker chip\"},\n {\"box_2d\": [552, 569, 576, 758], \"label\": \"white poker chip\"},\n {\"box_2d\": [572, 569, 593, 758], \"label\": \"white poker chip\"},\n {\"box_2d\": [588, 570, 610, 759], \"label\": \"white poker chip\"},\n {\"box_2d\": [604, 571, 628, 760], \"label\": \"white poker chip\"},\n {\"box_2d\": [621, 572, 646, 760], \"label\": \"white poker chip\"},\n {\"box_2d\": [638, 573, 665, 761], \"label\": \"white poker chip\"},\n {\"box_2d\": [654, 573, 683, 762], \"label\": \"white poker chip\"},\n {\"box_2d\": [670, 573, 702, 762], \"label\": \"white poker chip\"},\n {\"box_2d\": [555, 755, 615, 958], \"label\": \"orange poker chip\"},\n {\"box_2d\": [590, 758, 635, 959], \"label\": \"orange poker chip\"},\n {\"box_2d\": [608, 758, 652, 959], \"label\": \"orange poker chip\"},\n {\"box_2d\": [625, 759, 670, 961], \"label\": \"orange poker chip\"},\n {\"box_2d\": [642, 759, 689, 962], \"label\": \"orange poker chip\"},\n {\"box_2d\": [659, 761, 707, 963], \"label\": \"orange poker chip\"},\n {\"box_2d\": [675, 762, 726, 964], \"label\": \"orange poker chip\"}\n]\n```", "correct": true, "input_tokens": 1243, "output_tokens": 3756, "elapsed_seconds": 29.38261816697195, "metadata": {"match_method": "map", "num_predictions": 49, "num_ground_truth": 49, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 29.4009}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 227, "image": "69_jpg.rf.832734e487772068d6b9bf469788de8f.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [348, 281, 412, 517], \"label\": \"blood sample tube\"},\n {\"box_2d\": [80, 588, 403, 636], \"label\": \"blood sample tube\"},\n {\"box_2d\": [17, 636, 323, 748], \"label\": \"blood sample tube\"},\n {\"box_2d\": [438, 494, 520, 734], \"label\": \"blood sample tube\"},\n {\"box_2d\": [534, 480, 745, 700], \"label\": \"blood sample tube\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 568, "elapsed_seconds": 6.517766334000044, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 6.5318}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 228, "image": "uav20221018_ixfZ_3857_431_png.rf.d4d8056faccd6284b96584515af21de0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 240, 35, 287], \"label\": \"banana tree\"},\n {\"box_2d\": [31, 179, 86, 227], \"label\": \"banana tree\"},\n {\"box_2d\": [70, 248, 107, 281], \"label\": \"banana tree\"},\n {\"box_2d\": [2, 429, 47, 475], \"label\": \"banana tree\"},\n {\"box_2d\": [33, 491, 86, 534], \"label\": \"banana tree\"},\n {\"box_2d\": [70, 423, 118, 481], \"label\": \"banana tree\"},\n {\"box_2d\": [108, 495, 146, 530], \"label\": \"banana tree\"},\n {\"box_2d\": [138, 434, 183, 483], \"label\": \"banana tree\"},\n {\"box_2d\": [174, 492, 216, 538], \"label\": \"banana tree\"},\n {\"box_2d\": [208, 438, 254, 488], \"label\": \"banana tree\"},\n {\"box_2d\": [242, 490, 289, 533], \"label\": \"banana tree\"},\n {\"box_2d\": [0, 708, 33, 750], \"label\": \"banana tree\"},\n {\"box_2d\": [18, 661, 61, 700], \"label\": \"banana tree\"},\n {\"box_2d\": [51, 712, 100, 757], \"label\": \"banana tree\"},\n {\"box_2d\": [87, 659, 132, 703], \"label\": \"banana tree\"},\n {\"box_2d\": [120, 717, 167, 764], \"label\": \"banana tree\"},\n {\"box_2d\": [161, 668, 203, 703], \"label\": \"banana tree\"},\n {\"box_2d\": [194, 717, 237, 756], \"label\": \"banana tree\"},\n {\"box_2d\": [230, 672, 272, 707], \"label\": \"banana tree\"},\n {\"box_2d\": [264, 720, 304, 757], \"label\": \"banana tree\"},\n {\"box_2d\": [300, 673, 345, 709], \"label\": \"banana tree\"},\n {\"box_2d\": [331, 724, 376, 764], \"label\": \"banana tree\"},\n {\"box_2d\": [372, 674, 412, 707], \"label\": \"banana tree\"},\n {\"box_2d\": [0, 965, 38, 999], \"label\": \"banana tree\"},\n {\"box_2d\": [36, 905, 76, 938], \"label\": \"banana tree\"},\n {\"box_2d\": [64, 960, 112, 999], \"label\": \"banana tree\"},\n {\"box_2d\": [107, 901, 152, 943], \"label\": \"banana tree\"},\n {\"box_2d\": [134, 954, 182, 999], \"label\": \"banana tree\"},\n {\"box_2d\": [178, 914, 218, 955], \"label\": \"banana tree\"},\n {\"box_2d\": [207, 960, 258, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [250, 922, 290, 955], \"label\": \"banana tree\"},\n {\"box_2d\": [275, 967, 323, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [318, 925, 362, 964], \"label\": \"banana tree\"},\n {\"box_2d\": [350, 974, 392, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [387, 934, 433, 968], \"label\": \"banana tree\"},\n {\"box_2d\": [419, 982, 461, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [457, 936, 499, 975], \"label\": \"banana tree\"},\n {\"box_2d\": [489, 986, 530, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [523, 936, 563, 972], \"label\": \"banana tree\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 3261, "elapsed_seconds": 26.077091124956496, "metadata": {"match_method": "map", "num_predictions": 39, "num_ground_truth": 38, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9596756100654602, "attempts": 1, "retries": 0, "total_seconds": 26.1514}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 229, "image": "f39_jpg.rf.8a677bbf5bbbcde071dc3887db6e2b75.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [385, 432, 600, 576], \"label\": \"wildfire\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 1499, "elapsed_seconds": 18.832578708068468, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 18.9158}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 230, "image": "wood-log-detection_003_png_jpg.rf.34aeb3fc6262ec00696c0cc722964b3e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [50, 416, 80, 458], \"label\": \"log cross-section\"},\n {\"box_2d\": [55, 275, 92, 319], \"label\": \"log cross-section\"},\n {\"box_2d\": [75, 353, 106, 394], \"label\": \"log cross-section\"},\n {\"box_2d\": [78, 330, 106, 358], \"label\": \"log cross-section\"},\n {\"box_2d\": [81, 608, 122, 658], \"label\": \"log cross-section\"},\n {\"box_2d\": [84, 247, 117, 291], \"label\": \"log cross-section\"},\n {\"box_2d\": [88, 294, 120, 333], \"label\": \"log cross-section\"},\n {\"box_2d\": [100, 408, 128, 444], \"label\": \"log cross-section\"},\n {\"box_2d\": [102, 334, 138, 381], \"label\": \"log cross-section\"},\n {\"box_2d\": [108, 533, 138, 575], \"label\": \"log cross-section\"},\n {\"box_2d\": [109, 214, 138, 255], \"label\": \"log cross-section\"},\n {\"box_2d\": [109, 577, 147, 623], \"label\": \"log cross-section\"},\n {\"box_2d\": [111, 450, 141, 484], \"label\": \"log cross-section\"},\n {\"box_2d\": [111, 484, 147, 530], \"label\": \"log cross-section\"},\n {\"box_2d\": [119, 261, 150, 303], \"label\": \"log cross-section\"},\n {\"box_2d\": [122, 305, 150, 336], \"label\": \"log cross-section\"},\n {\"box_2d\": [125, 672, 158, 720], \"label\": \"log cross-section\"},\n {\"box_2d\": [128, 173, 158, 222], \"label\": \"log cross-section\"},\n {\"box_2d\": [128, 422, 152, 455], \"label\": \"log cross-section\"},\n {\"box_2d\": [136, 323, 170, 372], \"label\": \"log cross-section\"},\n {\"box_2d\": [136, 377, 169, 412], \"label\": \"log cross-section\"},\n {\"box_2d\": [136, 530, 167, 569], \"label\": \"log cross-section\"},\n {\"box_2d\": [136, 636, 170, 667], \"label\": \"log cross-section\"},\n {\"box_2d\": [138, 225, 175, 273], \"label\": \"log cross-section\"},\n {\"box_2d\": [139, 455, 169, 489], \"label\": \"log cross-section\"},\n {\"box_2d\": [141, 489, 173, 534], \"label\": \"log cross-section\"},\n {\"box_2d\": [142, 597, 178, 645], \"label\": \"log cross-section\"},\n {\"box_2d\": [144, 408, 178, 447], \"label\": \"log cross-section\"},\n {\"box_2d\": [147, 288, 178, 327], \"label\": \"log cross-section\"},\n {\"box_2d\": [161, 255, 194, 294], \"label\": \"log cross-section\"},\n {\"box_2d\": [166, 155, 194, 200], \"label\": \"log cross-section\"},\n {\"box_2d\": [167, 644, 194, 681], \"label\": \"log cross-section\"},\n {\"box_2d\": [169, 203, 202, 252], \"label\": \"log cross-section\"},\n {\"box_2d\": [170, 461, 197, 494], \"label\": \"log cross-section\"},\n {\"box_2d\": [175, 341, 202, 378], \"label\": \"log cross-section\"},\n {\"box_2d\": [177, 430, 203, 467], \"label\": \"log cross-section\"},\n {\"box_2d\": [180, 567, 206, 598], \"label\": \"log cross-section\"},\n {\"box_2d\": [180, 669, 205, 705], \"label\": \"log cross-section\"},\n {\"box_2d\": [181, 395, 208, 431], \"label\": \"log cross-section\"},\n {\"box_2d\": [184, 525, 205, 558], \"label\": \"log cross-section\"},\n {\"box_2d\": [184, 595, 217, 642], \"label\": \"log cross-section\"},\n {\"box_2d\": [188, 158, 220, 209], \"label\": \"log cross-section\"},\n {\"box_2d\": [188, 484, 216, 525], \"label\": \"log cross-section\"},\n {\"box_2d\": [197, 278, 225, 314], \"label\": \"log cross-section\"},\n {\"box_2d\": [197, 659, 223, 694], \"label\": \"log cross-section\"},\n {\"box_2d\": [198, 523, 230, 561], \"label\": \"log cross-section\"},\n {\"box_2d\": [200, 209, 238, 267], \"label\": \"log cross-section\"},\n {\"box_2d\": [200, 309, 241, 359], \"label\": \"log cross-section\"},\n {\"box_2d\": [200, 362, 233, 408], \"label\": \"log cross-section\"},\n {\"box_2d\": [200, 448, 233, 492], \"label\": \"log cross-section\"},\n {\"box_2d\": [203, 412, 231, 450], \"label\": \"log cross-section\"},\n {\"box_2d\": [206, 681, 239, 728], \"label\": \"log cross-section\"},\n {\"box_2d\": [219, 558, 247, 595], \"label\": \"log cross-section\"},\n {\"box_2d\": [222, 398, 248, 436], \"label\": \"log cross-section\"},\n {\"box_2d\": [225, 609, 262, 655], \"label\": \"log cross-section\"},\n {\"box_2d\": [230, 436, 269, 491], \"label\": \"log cross-section\"},\n {\"box_2d\": [231, 178, 259, 219], \"label\": \"log cross-section\"},\n {\"box_2d\": [231, 489, 264, 527], \"label\": \"log cross-section\"},\n {\"box_2d\": [236, 355, 270, 405], \"label\": \"log cross-section\"},\n {\"box_2d\": [241, 680, 273, 722], \"label\": \"log cross-section\"},\n {\"box_2d\": [248, 539, 286, 586], \"label\": \"log cross-section\"},\n {\"box_2d\": [255, 586, 289, 630], \"label\": \"log cross-section\"},\n {\"box_2d\": [259, 636, 295, 683], \"label\": \"log cross-section\"},\n {\"box_2d\": [292, 252, 320, 288], \"label\": \"log cross-section\"},\n {\"box_2d\": [292, 295, 323, 339], \"label\": \"log cross-section\"},\n {\"box_2d\": [300, 411, 330, 455], \"label\": \"log cross-section\"},\n {\"box_2d\": [300, 508, 339, 553], \"label\": \"log cross-section\"},\n {\"box_2d\": [300, 655, 330, 694], \"label\": \"log cross-section\"},\n {\"box_2d\": [302, 209, 333, 253], \"label\": \"log cross-section\"},\n {\"box_2d\": [305, 462, 334, 498], \"label\": \"log cross-section\"},\n {\"box_2d\": [308, 597, 338, 634], \"label\": \"log cross-section\"},\n {\"box_2d\": [309, 344, 339, 383], \"label\": \"log cross-section\"},\n {\"box_2d\": [322, 555, 345, 594], \"label\": \"log cross-section\"},\n {\"box_2d\": [325, 305, 350, 342], \"label\": \"log cross-section\"},\n {\"box_2d\": [327, 373, 350, 422], \"label\": \"log cross-section\"},\n {\"box_2d\": [331, 267, 350, 305], \"label\": \"log cross-section\"},\n {\"box_2d\": [331, 491, 347, 527], \"label\": \"log cross-section\"}\n]\n```", "correct": true, "input_tokens": 1228, "output_tokens": 7009, "elapsed_seconds": 78.4565753750503, "metadata": {"match_method": "map", "num_predictions": 77, "num_ground_truth": 78, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9405940771102905, "attempts": 1, "retries": 0, "total_seconds": 78.4722}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 231, "image": "basketball-player-detection_boston-celtics-new-york-knicks-game-1-q1-04-28-04-20-0185_png.rf.5bf3baa6a3ce5adfe29dab142647c8bc.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [200, 622, 265, 658], \"label\": \"basket rim\"},\n {\"box_2d\": [334, 470, 364, 487], \"label\": \"basketball\"},\n {\"box_2d\": [213, 0, 415, 41], \"label\": \"referee\"},\n {\"box_2d\": [257, 139, 456, 185], \"label\": \"player\"},\n {\"box_2d\": [343, 151, 543, 217], \"label\": \"player\"},\n {\"box_2d\": [376, 277, 603, 332], \"label\": \"player\"},\n {\"box_2d\": [298, 299, 505, 332], \"label\": \"player\"},\n {\"box_2d\": [182, 381, 371, 421], \"label\": \"player\"},\n {\"box_2d\": [247, 455, 459, 505], \"label\": \"player\"},\n {\"box_2d\": [293, 574, 513, 646], \"label\": \"player\"},\n {\"box_2d\": [349, 616, 606, 672], \"label\": \"player\"},\n {\"box_2d\": [260, 697, 466, 739], \"label\": \"referee\"},\n {\"box_2d\": [519, 412, 868, 463], \"label\": \"player\"},\n {\"box_2d\": [510, 453, 789, 508], \"label\": \"player\"},\n {\"box_2d\": [686, 553, 987, 629], \"label\": \"referee\"},\n {\"box_2d\": [788, 590, 809, 603], \"label\": \"jersey number\"},\n {\"box_2d\": [651, 434, 678, 444], \"label\": \"jersey number\"},\n {\"box_2d\": [400, 646, 422, 654], \"label\": \"jersey number\"},\n {\"box_2d\": [355, 615, 374, 626], \"label\": \"jersey number\"},\n {\"box_2d\": [313, 468, 330, 476], \"label\": \"jersey number\"},\n {\"box_2d\": [240, 400, 255, 410], \"label\": \"jersey number\"},\n {\"box_2d\": [407, 184, 424, 191], \"label\": \"jersey number\"},\n {\"box_2d\": [313, 156, 330, 165], \"label\": \"jersey number\"},\n {\"box_2d\": [421, 306, 445, 315], \"label\": \"jersey number\"}\n]\n```", "correct": false, "input_tokens": 1251, "output_tokens": 2342, "elapsed_seconds": 31.17776125005912, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 23, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5928492546081543, "attempts": 1, "retries": 0, "total_seconds": 31.2791}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 232, "image": "construction-safety_ppe_0016_jpg.rf.d53d80274c0b6fdd6cccc30b2f5316b2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [321, 70, 434, 178], \"label\": \"safety helmet\"},\n {\"box_2d\": [286, 184, 376, 260], \"label\": \"safety helmet\"},\n {\"box_2d\": [326, 331, 422, 405], \"label\": \"safety helmet\"},\n {\"box_2d\": [323, 484, 429, 575], \"label\": \"safety helmet\"},\n {\"box_2d\": [306, 579, 396, 675], \"label\": \"safety helmet\"},\n {\"box_2d\": [361, 679, 460, 775], \"label\": \"safety helmet\"},\n {\"box_2d\": [278, 745, 393, 855], \"label\": \"safety helmet\"},\n {\"box_2d\": [480, 260, 848, 441], \"label\": \"safety vest\"},\n {\"box_2d\": [475, 456, 787, 592], \"label\": \"safety vest\"},\n {\"box_2d\": [459, 572, 802, 701], \"label\": \"safety vest\"},\n {\"box_2d\": [482, 689, 864, 798], \"label\": \"safety vest\"},\n {\"box_2d\": [458, 748, 861, 904], \"label\": \"safety vest\"},\n {\"box_2d\": [868, 859, 1000, 975], \"label\": \"safety vest\"},\n {\"box_2d\": [321, 61, 998, 293], \"label\": \"person\"},\n {\"box_2d\": [286, 139, 996, 295], \"label\": \"person\"},\n {\"box_2d\": [326, 253, 859, 445], \"label\": \"person\"},\n {\"box_2d\": [323, 444, 796, 593], \"label\": \"person\"},\n {\"box_2d\": [306, 569, 875, 719], \"label\": \"person\"},\n {\"box_2d\": [361, 608, 868, 799], \"label\": \"person\"},\n {\"box_2d\": [280, 676, 994, 904], \"label\": \"person\"}\n]\n```", "correct": true, "input_tokens": 1222, "output_tokens": 1920, "elapsed_seconds": 40.81247208302375, "metadata": {"match_method": "map", "num_predictions": 20, "num_ground_truth": 19, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 41.7684}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 233, "image": "ind_jpeg_jpg.rf.838960e9a8a04626878832d54c63b122.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [357, 531, 401, 616], \"label\": \"dimension annotation\"},\n {\"box_2d\": [369, 69, 460, 193], \"label\": \"dimension annotation\"},\n {\"box_2d\": [444, 65, 513, 171], \"label\": \"dimension annotation\"},\n {\"box_2d\": [557, 314, 575, 410], \"label\": \"dimension annotation\"},\n {\"box_2d\": [588, 171, 605, 410], \"label\": \"dimension annotation\"},\n {\"box_2d\": [653, 338, 735, 421], \"label\": \"dimension annotation\"},\n {\"box_2d\": [659, 426, 716, 513], \"label\": \"dimension annotation\"},\n {\"box_2d\": [768, 56, 833, 80], \"label\": \"dimension annotation\"},\n {\"box_2d\": [764, 553, 805, 578], \"label\": \"dimension annotation\"},\n {\"box_2d\": [726, 583, 791, 607], \"label\": \"dimension annotation\"},\n {\"box_2d\": [789, 583, 833, 608], \"label\": \"dimension annotation\"},\n {\"box_2d\": [637, 687, 654, 718], \"label\": \"dimension annotation\"},\n {\"box_2d\": [637, 716, 654, 845], \"label\": \"dimension annotation\"},\n {\"box_2d\": [637, 843, 654, 875], \"label\": \"dimension annotation\"},\n {\"box_2d\": [689, 936, 833, 960], \"label\": \"dimension annotation\"},\n {\"box_2d\": [914, 207, 984, 976], \"label\": \"technical drawing table\"}\n]\n```", "correct": false, "input_tokens": 1233, "output_tokens": 2013, "elapsed_seconds": 19.889510083943605, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5099009275436401, "attempts": 1, "retries": 0, "total_seconds": 19.8989}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 234, "image": "frame_0102_jpg.rf.17d6c3b1d93b1bd2e8d8880687a7f794.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [39, 340, 73, 360], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [38, 393, 74, 415], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [44, 449, 82, 471], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [47, 505, 86, 528], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [121, 330, 159, 353], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [124, 385, 163, 409], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [129, 443, 171, 467], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [131, 501, 173, 525], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [216, 331, 258, 357], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [223, 390, 265, 415], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [230, 451, 273, 475], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [248, 509, 292, 535], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [314, 322, 356, 347], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [321, 382, 368, 407], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [330, 443, 376, 469], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [348, 504, 396, 531], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [413, 307, 460, 334], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [426, 367, 473, 394], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [435, 429, 483, 456], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [453, 491, 501, 518], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [526, 312, 575, 340], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [540, 373, 591, 401], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [555, 437, 606, 465], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [571, 501, 620, 529], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [634, 301, 684, 329], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [650, 362, 701, 390], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [668, 427, 718, 454], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [686, 490, 736, 518], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [744, 297, 793, 325], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [764, 358, 813, 385], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [782, 422, 831, 450], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [798, 487, 847, 514], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [859, 304, 908, 333], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [884, 366, 932, 394], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [896, 429, 945, 458], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [915, 494, 964, 522], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [959, 292, 1000, 319], \"label\": \"soda bottle cap\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 2605, "elapsed_seconds": 26.964928500005044, "metadata": {"match_method": "map", "num_predictions": 37, "num_ground_truth": 38, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9702970385551453, "attempts": 1, "retries": 0, "total_seconds": 27.3297}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 235, "image": "tile_559_jpg.rf.2e36153b3f0a023e43755fc06e0c32dc.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [5, 325, 28, 381], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [213, 450, 238, 536], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [321, 249, 360, 349], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [666, 662, 688, 750], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [740, 349, 758, 430], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [886, 0, 906, 78], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [958, 551, 981, 602], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [929, 774, 954, 860], \"label\": \"ship in SAR satellite image\"}\n]\n```", "correct": true, "input_tokens": 1229, "output_tokens": 783, "elapsed_seconds": 9.993721124948934, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 10.0243}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 236, "image": "frame_0555_jpg.rf.e5603989fbc45aefce0b30f65bdbe361.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [82, 237, 145, 281], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [251, 255, 315, 292], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [462, 235, 535, 279], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [611, 232, 690, 280], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [785, 242, 864, 289], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [740, 346, 825, 392], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [492, 348, 559, 387], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [406, 356, 467, 394], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [299, 370, 364, 409], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [219, 353, 277, 389], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [164, 336, 233, 374], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [64, 349, 126, 392], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 344, 45, 385], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 272, 41, 305], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [27, 431, 81, 463], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [235, 442, 305, 478], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [375, 435, 439, 476], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [798, 450, 883, 491], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [769, 485, 849, 526], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [728, 603, 803, 645], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [584, 580, 653, 622], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [465, 549, 527, 585], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [423, 654, 486, 694], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [139, 541, 198, 573], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [46, 538, 106, 570], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 596, 48, 622], \"label\": \"garlic on conveyor\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 1960, "elapsed_seconds": 19.852365124970675, "metadata": {"match_method": "map", "num_predictions": 26, "num_ground_truth": 23, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9619802236557007, "attempts": 1, "retries": 0, "total_seconds": 19.9421}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 237, "image": "DJI_0236_JPG_jpg.rf.d7ac178bd4662b9ae881e21c92284693.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [723, 556, 899, 624], \"label\": \"excavator\"},\n {\"box_2d\": [458, 382, 494, 437], \"label\": \"dump truck\"},\n {\"box_2d\": [414, 231, 443, 274], \"label\": \"dump truck\"},\n {\"box_2d\": [378, 542, 417, 563], \"label\": \"concrete mixer\"}\n]\n```", "correct": false, "input_tokens": 1209, "output_tokens": 1345, "elapsed_seconds": 28.025927250040695, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 6, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7499999403953552, "attempts": 1, "retries": 0, "total_seconds": 28.8121}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 238, "image": "9999981_00000_d_0000108_jpg.rf.808757c317fef3db00edefab735a3c05.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [59, 148, 169, 201], \"label\": \"truck\"},\n {\"box_2d\": [120, 21, 201, 61], \"label\": \"van\"},\n {\"box_2d\": [76, 12, 121, 42], \"label\": \"car\"},\n {\"box_2d\": [289, 59, 355, 92], \"label\": \"van\"},\n {\"box_2d\": [373, 85, 427, 118], \"label\": \"car\"},\n {\"box_2d\": [288, 231, 362, 273], \"label\": \"car\"},\n {\"box_2d\": [1, 406, 56, 441], \"label\": \"car\"},\n {\"box_2d\": [85, 439, 148, 476], \"label\": \"car\"},\n {\"box_2d\": [199, 407, 263, 445], \"label\": \"car\"},\n {\"box_2d\": [210, 496, 274, 542], \"label\": \"car\"},\n {\"box_2d\": [258, 483, 323, 521], \"label\": \"car\"},\n {\"box_2d\": [396, 570, 504, 687], \"label\": \"bus\"},\n {\"box_2d\": [370, 657, 424, 716], \"label\": \"car\"},\n {\"box_2d\": [541, 738, 606, 807], \"label\": \"car\"},\n {\"box_2d\": [542, 327, 628, 376], \"label\": \"car\"},\n {\"box_2d\": [531, 130, 606, 170], \"label\": \"truck\"},\n {\"box_2d\": [786, 734, 871, 795], \"label\": \"car\"},\n {\"box_2d\": [812, 761, 900, 820], \"label\": \"car\"},\n {\"box_2d\": [926, 452, 1000, 526], \"label\": \"car\"},\n {\"box_2d\": [908, 198, 980, 240], \"label\": \"tricycle\"},\n {\"box_2d\": [840, 174, 885, 207], \"label\": \"tricycle\"},\n {\"box_2d\": [867, 391, 900, 412], \"label\": \"motorcycle\"}\n]\n```", "correct": false, "input_tokens": 1214, "output_tokens": 2538, "elapsed_seconds": 23.182028500013985, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 46, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.4006364643573761, "attempts": 1, "retries": 0, "total_seconds": 23.2532}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 239, "image": "egg-detection_image381_jpg.rf.26b6182b9e6a29f3cd96c54029e234f8.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [13, 432, 66, 466], \"label\": \"egg\"},\n {\"box_2d\": [31, 471, 90, 502], \"label\": \"egg\"},\n {\"box_2d\": [64, 426, 125, 456], \"label\": \"egg\"},\n {\"box_2d\": [90, 385, 148, 421], \"label\": \"egg\"},\n {\"box_2d\": [164, 370, 219, 408], \"label\": \"egg\"},\n {\"box_2d\": [245, 419, 307, 455], \"label\": \"egg\"},\n {\"box_2d\": [244, 465, 302, 506], \"label\": \"egg\"},\n {\"box_2d\": [289, 480, 352, 518], \"label\": \"egg\"},\n {\"box_2d\": [309, 426, 376, 459], \"label\": \"egg\"},\n {\"box_2d\": [264, 558, 332, 591], \"label\": \"egg\"},\n {\"box_2d\": [533, 315, 597, 349], \"label\": \"egg\"},\n {\"box_2d\": [589, 301, 646, 339], \"label\": \"egg\"},\n {\"box_2d\": [676, 383, 738, 419], \"label\": \"egg\"},\n {\"box_2d\": [711, 417, 768, 456], \"label\": \"egg\"},\n {\"box_2d\": [707, 479, 770, 517], \"label\": \"egg\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 1486, "elapsed_seconds": 13.457900458946824, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 13.5556}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 240, "image": "A16150-1C_2025_NCPT-175_JPG_jpg.rf.2c6e330d745fc218d09f761944d1e142.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [14, 249, 98, 276], \"label\": \"potato\"},\n {\"box_2d\": [98, 247, 163, 275], \"label\": \"potato\"},\n {\"box_2d\": [10, 294, 59, 316], \"label\": \"potato\"},\n {\"box_2d\": [54, 293, 108, 317], \"label\": \"potato\"},\n {\"box_2d\": [103, 287, 164, 315], \"label\": \"potato\"},\n {\"box_2d\": [160, 285, 240, 316], \"label\": \"potato\"},\n {\"box_2d\": [239, 285, 315, 317], \"label\": \"potato\"},\n {\"box_2d\": [413, 280, 516, 318], \"label\": \"potato\"},\n {\"box_2d\": [574, 284, 650, 312], \"label\": \"potato\"},\n {\"box_2d\": [648, 274, 742, 314], \"label\": \"potato\"},\n {\"box_2d\": [748, 282, 816, 309], \"label\": \"potato\"},\n {\"box_2d\": [918, 282, 988, 312], \"label\": \"potato\"},\n {\"box_2d\": [7, 330, 93, 366], \"label\": \"potato\"},\n {\"box_2d\": [91, 329, 171, 363], \"label\": \"potato\"},\n {\"box_2d\": [168, 329, 244, 361], \"label\": \"potato\"},\n {\"box_2d\": [241, 324, 336, 362], \"label\": \"potato\"},\n {\"box_2d\": [335, 322, 424, 360], \"label\": \"potato\"},\n {\"box_2d\": [440, 328, 517, 360], \"label\": \"potato\"},\n {\"box_2d\": [515, 323, 595, 357], \"label\": \"potato\"},\n {\"box_2d\": [697, 325, 779, 357], \"label\": \"potato\"},\n {\"box_2d\": [775, 325, 855, 354], \"label\": \"potato\"},\n {\"box_2d\": [918, 324, 999, 351], \"label\": \"potato\"},\n {\"box_2d\": [14, 377, 94, 411], \"label\": \"potato\"},\n {\"box_2d\": [106, 373, 189, 405], \"label\": \"potato\"},\n {\"box_2d\": [187, 374, 267, 406], \"label\": \"potato\"},\n {\"box_2d\": [264, 374, 350, 410], \"label\": \"potato\"},\n {\"box_2d\": [335, 364, 386, 389], \"label\": \"potato\"},\n {\"box_2d\": [383, 368, 487, 406], \"label\": \"potato\"},\n {\"box_2d\": [481, 369, 575, 408], \"label\": \"potato\"},\n {\"box_2d\": [685, 367, 761, 400], \"label\": \"potato\"},\n {\"box_2d\": [760, 366, 847, 400], \"label\": \"potato\"},\n {\"box_2d\": [917, 362, 997, 401], \"label\": \"potato\"},\n {\"box_2d\": [5, 414, 88, 453], \"label\": \"potato\"},\n {\"box_2d\": [86, 413, 195, 459], \"label\": \"potato\"},\n {\"box_2d\": [192, 416, 274, 451], \"label\": \"potato\"},\n {\"box_2d\": [347, 415, 435, 449], \"label\": \"potato\"},\n {\"box_2d\": [435, 415, 526, 450], \"label\": \"potato\"},\n {\"box_2d\": [524, 416, 603, 449], \"label\": \"potato\"},\n {\"box_2d\": [601, 411, 688, 446], \"label\": \"potato\"},\n {\"box_2d\": [685, 411, 779, 443], \"label\": \"potato\"},\n {\"box_2d\": [8, 466, 81, 494], \"label\": \"potato\"},\n {\"box_2d\": [79, 466, 141, 494], \"label\": \"potato\"},\n {\"box_2d\": [138, 456, 255, 496], \"label\": \"potato\"},\n {\"box_2d\": [265, 463, 336, 491], \"label\": \"potato\"},\n {\"box_2d\": [337, 459, 414, 490], \"label\": \"potato\"},\n {\"box_2d\": [411, 460, 502, 497], \"label\": \"potato\"},\n {\"box_2d\": [728, 454, 825, 496], \"label\": \"potato\"},\n {\"box_2d\": [914, 455, 995, 488], \"label\": \"potato\"},\n {\"box_2d\": [5, 508, 76, 538], \"label\": \"potato\"},\n {\"box_2d\": [73, 507, 141, 540], \"label\": \"potato\"},\n {\"box_2d\": [138, 506, 245, 545], \"label\": \"potato\"},\n {\"box_2d\": [242, 506, 339, 548], \"label\": \"potato\"},\n {\"box_2d\": [493, 496, 588, 536], \"label\": \"potato\"},\n {\"box_2d\": [682, 495, 801, 546], \"label\": \"potato\"},\n {\"box_2d\": [6, 551, 83, 584], \"label\": \"potato\"},\n {\"box_2d\": [150, 550, 232, 584], \"label\": \"potato\"},\n {\"box_2d\": [229, 550, 319, 582], \"label\": \"potato\"},\n {\"box_2d\": [492, 548, 571, 581], \"label\": \"potato\"},\n {\"box_2d\": [687, 548, 747, 573], \"label\": \"potato\"},\n {\"box_2d\": [785, 541, 878, 581], \"label\": \"potato\"},\n {\"box_2d\": [921, 541, 999, 574], \"label\": \"potato\"},\n {\"box_2d\": [3, 595, 73, 629], \"label\": \"potato\"},\n {\"box_2d\": [69, 595, 173, 633], \"label\": \"potato\"},\n {\"box_2d\": [168, 596, 256, 630], \"label\": \"potato\"},\n {\"box_2d\": [309, 593, 419, 637], \"label\": \"potato\"},\n {\"box_2d\": [645, 585, 731, 619], \"label\": \"potato\"},\n {\"box_2d\": [2, 629, 89, 666], \"label\": \"potato\"},\n {\"box_2d\": [86, 639, 159, 670], \"label\": \"potato\"},\n {\"box_2d\": [157, 638, 235, 670], \"label\": \"potato\"},\n {\"box_2d\": [256, 640, 321, 668], \"label\": \"potato\"},\n {\"box_2d\": [370, 637, 441, 667], \"label\": \"potato\"},\n {\"box_2d\": [506, 638, 574, 663], \"label\": \"potato\"},\n {\"box_2d\": [815, 625, 938, 664], \"label\": \"potato\"},\n {\"box_2d\": [61, 683, 134, 712], \"label\": \"potato\"},\n {\"box_2d\": [13, 727, 99, 762], \"label\": \"potato\"},\n {\"box_2d\": [519, 721, 608, 763], \"label\": \"potato\"},\n {\"box_2d\": [286, 766, 358, 790], \"label\": \"potato\"},\n {\"box_2d\": [439, 765, 519, 796], \"label\": \"potato\"},\n {\"box_2d\": [19, 813, 86, 843], \"label\": \"potato\"},\n {\"box_2d\": [328, 810, 389, 836], \"label\": \"potato\"},\n {\"box_2d\": [316, 849, 394, 878], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 5665, "elapsed_seconds": 44.81385316606611, "metadata": {"match_method": "map", "num_predictions": 81, "num_ground_truth": 81, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 45.3001}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 241, "image": "lot251_JPEG_jpg.rf.5ae906b5fd537b40c5fabb806ecf5fd9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [180, 497, 215, 523], \"label\": \"chicory seed\"},\n {\"box_2d\": [193, 540, 229, 565], \"label\": \"chicory seed\"},\n {\"box_2d\": [195, 576, 232, 603], \"label\": \"chicory seed\"},\n {\"box_2d\": [196, 424, 232, 460], \"label\": \"chicory seed\"},\n {\"box_2d\": [181, 340, 203, 381], \"label\": \"chicory seed\"},\n {\"box_2d\": [187, 362, 214, 405], \"label\": \"chicory seed\"},\n 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{\"box_2d\": [616, 638, 645, 672], \"label\": \"chicory seed\"},\n {\"box_2d\": [618, 671, 660, 700], \"label\": \"chicory seed\"},\n {\"box_2d\": [605, 697, 646, 721], \"label\": \"chicory seed\"},\n {\"box_2d\": [618, 721, 656, 759], \"label\": \"chicory seed\"},\n {\"box_2d\": [643, 712, 674, 752], \"label\": \"chicory seed\"},\n {\"box_2d\": [640, 585, 672, 623], \"label\": \"chicory seed\"},\n {\"box_2d\": [642, 641, 678, 678], \"label\": \"chicory seed\"},\n {\"box_2d\": [631, 466, 672, 495], \"label\": \"chicory seed\"},\n {\"box_2d\": [660, 203, 698, 234], \"label\": \"chicory seed\"},\n {\"box_2d\": [647, 232, 688, 256], \"label\": \"chicory seed\"},\n {\"box_2d\": [640, 254, 681, 281], \"label\": \"chicory seed\"},\n {\"box_2d\": [654, 281, 695, 304], \"label\": \"chicory seed\"},\n {\"box_2d\": [657, 301, 688, 342], \"label\": \"chicory seed\"},\n {\"box_2d\": [645, 328, 671, 370], \"label\": \"chicory seed\"},\n {\"box_2d\": [679, 244, 706, 286], \"label\": \"chicory seed\"},\n {\"box_2d\": [679, 302, 705, 345], \"label\": \"chicory seed\"},\n {\"box_2d\": [672, 341, 711, 373], \"label\": \"chicory seed\"},\n {\"box_2d\": [654, 371, 682, 411], \"label\": \"chicory seed\"},\n {\"box_2d\": [657, 404, 696, 431], \"label\": \"chicory seed\"},\n {\"box_2d\": [647, 427, 682, 465], \"label\": \"chicory seed\"},\n {\"box_2d\": [661, 444, 685, 488], \"label\": \"chicory seed\"},\n {\"box_2d\": [681, 419, 704, 460], \"label\": \"chicory seed\"},\n {\"box_2d\": [695, 357, 720, 402], \"label\": \"chicory seed\"},\n {\"box_2d\": [672, 482, 704, 524], \"label\": \"chicory seed\"},\n {\"box_2d\": [665, 520, 701, 559], \"label\": \"chicory seed\"},\n {\"box_2d\": [692, 486, 720, 528], \"label\": \"chicory seed\"},\n {\"box_2d\": [692, 450, 731, 479], \"label\": \"chicory seed\"},\n {\"box_2d\": [679, 601, 707, 645], \"label\": \"chicory seed\"},\n {\"box_2d\": [655, 672, 693, 705], \"label\": \"chicory seed\"},\n {\"box_2d\": [695, 644, 735, 668], \"label\": \"chicory seed\"},\n {\"box_2d\": [696, 551, 734, 578], \"label\": \"chicory seed\"},\n {\"box_2d\": [701, 245, 729, 284], \"label\": \"chicory seed\"},\n {\"box_2d\": [697, 282, 725, 321], \"label\": \"chicory seed\"},\n {\"box_2d\": [716, 283, 747, 326], \"label\": \"chicory seed\"},\n {\"box_2d\": [703, 322, 736, 360], \"label\": \"chicory seed\"},\n {\"box_2d\": [721, 317, 752, 357], \"label\": \"chicory seed\"},\n {\"box_2d\": [714, 355, 739, 399], \"label\": \"chicory seed\"},\n {\"box_2d\": [742, 285, 769, 329], \"label\": \"chicory seed\"},\n {\"box_2d\": [738, 364, 762, 407], \"label\": \"chicory seed\"},\n {\"box_2d\": [755, 346, 777, 389], \"label\": \"chicory seed\"},\n {\"box_2d\": [704, 400, 744, 427], \"label\": \"chicory seed\"},\n {\"box_2d\": [711, 419, 751, 447], \"label\": \"chicory seed\"},\n {\"box_2d\": [742, 420, 779, 457], \"label\": \"chicory seed\"},\n {\"box_2d\": [759, 400, 799, 426], \"label\": \"chicory seed\"},\n {\"box_2d\": [716, 461, 747, 503], \"label\": \"chicory seed\"},\n {\"box_2d\": [734, 462, 770, 502], \"label\": \"chicory seed\"},\n {\"box_2d\": [712, 496, 747, 535], \"label\": \"chicory seed\"},\n {\"box_2d\": [743, 501, 772, 543], \"label\": \"chicory seed\"},\n {\"box_2d\": [755, 484, 786, 527], \"label\": \"chicory seed\"},\n {\"box_2d\": [773, 474, 808, 512], \"label\": \"chicory seed\"},\n {\"box_2d\": [761, 525, 799, 558], \"label\": \"chicory seed\"},\n {\"box_2d\": [728, 541, 755, 585], \"label\": \"chicory seed\"},\n {\"box_2d\": [715, 578, 743, 622], \"label\": \"chicory seed\"},\n {\"box_2d\": [738, 576, 770, 616], \"label\": \"chicory seed\"},\n {\"box_2d\": [750, 591, 785, 630], \"label\": \"chicory seed\"},\n {\"box_2d\": [729, 621, 754, 666], \"label\": \"chicory seed\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 17687, "elapsed_seconds": 147.07673037494533, "metadata": {"match_method": "map", "num_predictions": 300, "num_ground_truth": 300, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3366336524486542, "attempts": 3, "retries": 2, "total_seconds": 275.1465, "transient_errors": ["RemoteProtocolError", "RemoteProtocolError"]}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 242, "image": "4105625_ContRightUpper_f_jpg.rf.262f5072bce0f2365a2193d631224fd1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [326, 0, 616, 273], \"label\": \"shipping container wall dent\"}\n]\n```", "correct": false, "input_tokens": 1255, "output_tokens": 476, "elapsed_seconds": 9.90444212500006, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 10.0021}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 243, "image": "18_jpeg_jpg.rf.b131f08c745acace9daeeea095e0d1ef.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [86, 19, 189, 110], \"label\": \"potato\"},\n {\"box_2d\": [301, 179, 389, 260], \"label\": \"potato\"},\n {\"box_2d\": [501, 0, 686, 61], \"label\": \"potato\"},\n {\"box_2d\": [492, 236, 619, 323], \"label\": \"potato\"},\n {\"box_2d\": [703, 142, 811, 248], \"label\": \"potato\"},\n {\"box_2d\": [903, 149, 1000, 253], \"label\": \"potato\"},\n {\"box_2d\": [90, 444, 179, 540], \"label\": \"potato\"},\n {\"box_2d\": [497, 450, 594, 535], \"label\": \"potato\"},\n {\"box_2d\": [716, 355, 819, 478], \"label\": \"potato\"},\n {\"box_2d\": [499, 612, 604, 699], \"label\": \"potato\"},\n {\"box_2d\": [720, 541, 817, 628], \"label\": \"potato\"},\n {\"box_2d\": [716, 665, 819, 750], \"label\": \"potato\"},\n {\"box_2d\": [905, 595, 1000, 692], \"label\": \"potato\"},\n {\"box_2d\": [90, 888, 213, 987], \"label\": \"potato\"},\n {\"box_2d\": [284, 844, 404, 968], \"label\": \"potato\"},\n {\"box_2d\": [499, 877, 596, 957], \"label\": \"potato\"},\n {\"box_2d\": [688, 936, 794, 1000], \"label\": \"potato\"},\n {\"box_2d\": [873, 917, 987, 1000], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1240, "output_tokens": 1534, "elapsed_seconds": 18.40078479098156, "metadata": {"match_method": "map", "num_predictions": 18, "num_ground_truth": 18, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 18.4311}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 244, "image": "lot312_JPEG_jpg.rf.6c72b39304c1a45a005f911f32e89494.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [136, 481, 159, 521], \"label\": \"chicory seed\"},\n {\"box_2d\": [142, 418, 171, 459], \"label\": \"chicory seed\"},\n {\"box_2d\": [143, 536, 167, 583], \"label\": \"chicory seed\"},\n {\"box_2d\": [151, 581, 179, 623], \"label\": \"chicory seed\"},\n {\"box_2d\": [155, 470, 181, 511], \"label\": \"chicory seed\"},\n {\"box_2d\": [159, 540, 186, 584], \"label\": \"chicory seed\"},\n {\"box_2d\": [167, 320, 195, 363], \"label\": \"chicory seed\"},\n {\"box_2d\": [170, 610, 203, 651], \"label\": \"chicory seed\"},\n {\"box_2d\": [170, 657, 199, 701], \"label\": \"chicory seed\"},\n {\"box_2d\": [172, 463, 197, 504], \"label\": \"chicory seed\"},\n {\"box_2d\": [175, 576, 214, 615], \"label\": \"chicory seed\"},\n {\"box_2d\": [182, 355, 212, 399], \"label\": \"chicory seed\"},\n {\"box_2d\": [183, 531, 207, 576], \"label\": \"chicory seed\"},\n {\"box_2d\": [192, 390, 221, 431], \"label\": \"chicory seed\"},\n {\"box_2d\": [193, 450, 222, 490], \"label\": \"chicory seed\"},\n {\"box_2d\": [194, 489, 234, 519], \"label\": \"chicory seed\"},\n {\"box_2d\": [195, 667, 219, 707], \"label\": \"chicory seed\"},\n {\"box_2d\": [210, 427, 250, 464], \"label\": \"chicory seed\"},\n {\"box_2d\": [213, 561, 241, 606], \"label\": \"chicory seed\"},\n {\"box_2d\": [214, 344, 239, 389], \"label\": \"chicory seed\"},\n {\"box_2d\": [214, 728, 246, 767], \"label\": \"chicory seed\"},\n {\"box_2d\": [216, 265, 241, 307], \"label\": \"chicory seed\"},\n {\"box_2d\": [216, 468, 260, 497], \"label\": \"chicory seed\"},\n {\"box_2d\": [216, 655, 249, 697], \"label\": \"chicory seed\"},\n {\"box_2d\": [217, 606, 242, 650], \"label\": \"chicory seed\"},\n {\"box_2d\": [219, 375, 251, 417], \"label\": \"chicory seed\"},\n {\"box_2d\": [222, 309, 250, 351], \"label\": \"chicory seed\"},\n {\"box_2d\": [225, 396, 265, 429], \"label\": \"chicory seed\"},\n {\"box_2d\": [228, 518, 253, 562], \"label\": \"chicory seed\"},\n {\"box_2d\": [238, 346, 271, 387], \"label\": \"chicory seed\"},\n {\"box_2d\": [239, 204, 274, 244], \"label\": \"chicory seed\"},\n {\"box_2d\": [240, 594, 283, 626], \"label\": \"chicory seed\"},\n {\"box_2d\": [242, 426, 274, 468], \"label\": \"chicory seed\"},\n {\"box_2d\": [243, 500, 279, 539], \"label\": \"chicory seed\"},\n {\"box_2d\": [244, 669, 289, 698], \"label\": \"chicory seed\"},\n {\"box_2d\": [246, 533, 270, 574], \"label\": \"chicory seed\"},\n {\"box_2d\": [249, 747, 275, 792], \"label\": \"chicory seed\"},\n {\"box_2d\": [253, 239, 278, 281], \"label\": \"chicory seed\"},\n {\"box_2d\": [256, 569, 296, 607], \"label\": \"chicory seed\"},\n {\"box_2d\": [257, 465, 287, 505], \"label\": \"chicory seed\"},\n {\"box_2d\": [259, 698, 288, 740], \"label\": \"chicory seed\"},\n {\"box_2d\": [263, 376, 292, 417], \"label\": \"chicory seed\"},\n {\"box_2d\": [268, 414, 295, 456], \"label\": \"chicory seed\"},\n {\"box_2d\": [269, 532, 313, 560], \"label\": \"chicory seed\"},\n {\"box_2d\": [270, 493, 308, 530], \"label\": \"chicory seed\"},\n {\"box_2d\": [276, 232, 303, 276], \"label\": \"chicory seed\"},\n {\"box_2d\": [276, 628, 311, 667], \"label\": \"chicory seed\"},\n {\"box_2d\": [278, 786, 318, 821], \"label\": \"chicory seed\"},\n {\"box_2d\": [279, 174, 315, 211], \"label\": \"chicory seed\"},\n {\"box_2d\": [280, 331, 309, 372], \"label\": \"chicory seed\"},\n {\"box_2d\": [284, 258, 313, 299], \"label\": \"chicory seed\"},\n {\"box_2d\": [284, 451, 310, 492], \"label\": \"chicory seed\"},\n {\"box_2d\": [284, 692, 316, 735], \"label\": \"chicory seed\"},\n {\"box_2d\": [285, 754, 318, 793], \"label\": \"chicory seed\"},\n {\"box_2d\": [289, 662, 331, 697], \"label\": \"chicory seed\"},\n {\"box_2d\": [291, 381, 333, 410], \"label\": \"chicory seed\"},\n {\"box_2d\": [294, 414, 323, 456], \"label\": \"chicory seed\"},\n {\"box_2d\": [297, 285, 328, 329], \"label\": \"chicory seed\"},\n {\"box_2d\": [300, 211, 327, 256], \"label\": \"chicory seed\"},\n {\"box_2d\": [300, 500, 333, 540], \"label\": \"chicory seed\"},\n {\"box_2d\": [301, 545, 335, 585], \"label\": \"chicory seed\"},\n {\"box_2d\": [301, 800, 338, 835], \"label\": \"chicory seed\"},\n {\"box_2d\": [306, 591, 349, 618], \"label\": \"chicory seed\"},\n {\"box_2d\": [309, 404, 353, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [310, 474, 335, 516], \"label\": \"chicory seed\"},\n {\"box_2d\": [310, 716, 335, 760], \"label\": \"chicory seed\"},\n {\"box_2d\": [313, 327, 355, 355], \"label\": \"chicory seed\"},\n {\"box_2d\": [314, 757, 338, 801], \"label\": \"chicory seed\"},\n {\"box_2d\": [316, 237, 347, 281], \"label\": \"chicory seed\"},\n {\"box_2d\": [316, 636, 342, 680], \"label\": \"chicory seed\"},\n {\"box_2d\": [319, 360, 358, 396], \"label\": \"chicory seed\"},\n {\"box_2d\": [323, 434, 354, 475], \"label\": \"chicory seed\"},\n {\"box_2d\": [325, 687, 361, 725], \"label\": \"chicory seed\"},\n {\"box_2d\": [326, 816, 359, 855], \"label\": \"chicory seed\"},\n {\"box_2d\": [331, 271, 358, 317], \"label\": \"chicory seed\"},\n {\"box_2d\": [332, 479, 356, 524], \"label\": \"chicory seed\"},\n {\"box_2d\": [332, 732, 368, 769], \"label\": \"chicory seed\"},\n {\"box_2d\": [334, 531, 361, 574], \"label\": \"chicory seed\"},\n {\"box_2d\": [335, 768, 376, 799], \"label\": \"chicory seed\"},\n {\"box_2d\": [342, 419, 372, 461], \"label\": \"chicory seed\"},\n {\"box_2d\": [346, 351, 386, 384], \"label\": \"chicory seed\"},\n {\"box_2d\": [350, 382, 386, 421], \"label\": \"chicory seed\"},\n {\"box_2d\": [353, 226, 381, 271], \"label\": \"chicory seed\"},\n {\"box_2d\": [355, 175, 384, 217], \"label\": \"chicory seed\"},\n {\"box_2d\": [355, 465, 384, 509], \"label\": \"chicory seed\"},\n {\"box_2d\": [356, 284, 385, 326], \"label\": \"chicory seed\"},\n {\"box_2d\": [356, 785, 390, 824], \"label\": \"chicory seed\"},\n {\"box_2d\": [359, 823, 400, 851], \"label\": \"chicory seed\"},\n {\"box_2d\": [360, 130, 396, 166], \"label\": \"chicory seed\"},\n {\"box_2d\": [362, 587, 399, 633], \"label\": \"chicory seed\"},\n {\"box_2d\": [365, 553, 405, 584], \"label\": \"chicory seed\"},\n {\"box_2d\": [366, 521, 407, 559], \"label\": \"chicory seed\"},\n {\"box_2d\": [368, 722, 407, 753], \"label\": \"chicory seed\"},\n {\"box_2d\": [369, 431, 399, 475], \"label\": \"chicory seed\"},\n {\"box_2d\": [370, 756, 403, 796], \"label\": \"chicory seed\"},\n {\"box_2d\": [374, 160, 404, 202], \"label\": \"chicory seed\"},\n {\"box_2d\": [374, 294, 412, 333], \"label\": \"chicory seed\"},\n {\"box_2d\": [374, 839, 411, 877], \"label\": \"chicory seed\"},\n {\"box_2d\": [376, 202, 403, 246], \"label\": \"chicory seed\"},\n {\"box_2d\": [377, 473, 414, 513], \"label\": \"chicory seed\"},\n {\"box_2d\": [379, 645, 407, 687], \"label\": \"chicory seed\"},\n {\"box_2d\": [380, 271, 421, 299], \"label\": \"chicory seed\"},\n {\"box_2d\": [386, 750, 424, 784], \"label\": \"chicory seed\"},\n {\"box_2d\": [390, 684, 417, 727], \"label\": \"chicory seed\"},\n {\"box_2d\": [391, 245, 431, 272], \"label\": \"chicory seed\"},\n {\"box_2d\": [391, 312, 429, 349], \"label\": \"chicory seed\"},\n {\"box_2d\": [404, 604, 449, 633], \"label\": \"chicory seed\"},\n {\"box_2d\": [407, 770, 444, 807], \"label\": \"chicory seed\"},\n {\"box_2d\": [408, 832, 433, 875], \"label\": \"chicory seed\"},\n {\"box_2d\": [409, 675, 432, 720], \"label\": \"chicory seed\"},\n {\"box_2d\": [410, 336, 438, 379], \"label\": \"chicory seed\"},\n {\"box_2d\": [415, 114, 453, 141], \"label\": \"chicory seed\"},\n {\"box_2d\": [421, 744, 464, 769], \"label\": \"chicory seed\"},\n {\"box_2d\": [423, 652, 464, 683], \"label\": \"chicory seed\"},\n {\"box_2d\": [424, 793, 451, 836], \"label\": \"chicory seed\"},\n {\"box_2d\": [424, 849, 451, 892], \"label\": \"chicory seed\"},\n {\"box_2d\": [427, 677, 458, 717], \"label\": \"chicory seed\"},\n {\"box_2d\": [429, 281, 457, 323], \"label\": \"chicory seed\"},\n {\"box_2d\": [438, 317, 479, 350], \"label\": \"chicory seed\"},\n {\"box_2d\": [438, 706, 480, 745], \"label\": \"chicory seed\"},\n {\"box_2d\": [442, 390, 470, 431], \"label\": \"chicory seed\"},\n {\"box_2d\": [442, 501, 474, 543], \"label\": \"chicory seed\"},\n {\"box_2d\": [443, 636, 485, 663], \"label\": \"chicory seed\"},\n {\"box_2d\": [445, 336, 483, 373], \"label\": \"chicory seed\"},\n {\"box_2d\": [448, 291, 491, 326], \"label\": \"chicory seed\"},\n {\"box_2d\": [449, 855, 477, 897], \"label\": \"chicory seed\"},\n {\"box_2d\": [450, 440, 492, 469], \"label\": \"chicory seed\"},\n {\"box_2d\": [451, 798, 493, 825], \"label\": \"chicory seed\"},\n {\"box_2d\": [453, 251, 485, 291], \"label\": \"chicory seed\"},\n {\"box_2d\": [457, 183, 490, 226], \"label\": \"chicory seed\"},\n {\"box_2d\": [463, 827, 503, 859], \"label\": \"chicory seed\"},\n {\"box_2d\": [465, 664, 495, 707], \"label\": \"chicory seed\"},\n {\"box_2d\": [467, 484, 506, 517], \"label\": \"chicory seed\"},\n {\"box_2d\": [468, 359, 508, 386], \"label\": \"chicory seed\"},\n {\"box_2d\": [469, 391, 499, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [470, 108, 494, 151], \"label\": \"chicory seed\"},\n {\"box_2d\": [471, 276, 510, 316], \"label\": \"chicory seed\"},\n {\"box_2d\": [472, 547, 513, 574], \"label\": \"chicory seed\"},\n {\"box_2d\": [472, 587, 502, 631], \"label\": \"chicory seed\"},\n {\"box_2d\": [474, 700, 502, 744], \"label\": \"chicory seed\"},\n {\"box_2d\": [477, 779, 519, 813], \"label\": \"chicory seed\"},\n {\"box_2d\": [479, 324, 514, 365], \"label\": \"chicory seed\"},\n {\"box_2d\": [483, 189, 518, 231], \"label\": \"chicory seed\"},\n {\"box_2d\": [490, 398, 521, 442], \"label\": \"chicory seed\"},\n {\"box_2d\": [493, 108, 518, 150], \"label\": \"chicory seed\"},\n {\"box_2d\": [494, 656, 528, 697], \"label\": \"chicory seed\"},\n {\"box_2d\": [495, 683, 523, 725], \"label\": \"chicory seed\"},\n {\"box_2d\": [497, 264, 539, 298], \"label\": \"chicory seed\"},\n {\"box_2d\": [498, 613, 542, 640], \"label\": \"chicory seed\"},\n {\"box_2d\": [506, 806, 537, 848], \"label\": \"chicory seed\"},\n {\"box_2d\": [509, 207, 544, 248], \"label\": \"chicory seed\"},\n {\"box_2d\": [509, 753, 536, 796], \"label\": \"chicory seed\"},\n {\"box_2d\": [510, 362, 548, 404], \"label\": \"chicory seed\"},\n {\"box_2d\": [511, 638, 542, 683], \"label\": \"chicory seed\"},\n {\"box_2d\": [511, 726, 554, 755], \"label\": \"chicory seed\"},\n {\"box_2d\": [513, 456, 543, 500], \"label\": \"chicory seed\"},\n {\"box_2d\": [517, 293, 546, 338], \"label\": \"chicory seed\"},\n {\"box_2d\": [518, 590, 561, 619], \"label\": \"chicory seed\"},\n {\"box_2d\": [519, 507, 555, 551], \"label\": \"chicory seed\"},\n {\"box_2d\": [522, 702, 567, 730], \"label\": \"chicory seed\"},\n {\"box_2d\": [525, 106, 564, 139], \"label\": \"chicory seed\"},\n {\"box_2d\": [527, 142, 552, 186], \"label\": \"chicory seed\"},\n {\"box_2d\": [528, 247, 559, 289], \"label\": \"chicory seed\"},\n {\"box_2d\": [528, 568, 570, 596], \"label\": \"chicory seed\"},\n {\"box_2d\": [533, 756, 565, 799], \"label\": \"chicory seed\"},\n {\"box_2d\": [538, 456, 568, 499], \"label\": \"chicory seed\"},\n {\"box_2d\": [539, 633, 568, 677], \"label\": \"chicory seed\"},\n {\"box_2d\": [544, 280, 575, 323], \"label\": \"chicory seed\"},\n {\"box_2d\": [545, 678, 589, 707], \"label\": \"chicory seed\"},\n {\"box_2d\": [547, 608, 589, 639], \"label\": \"chicory seed\"},\n {\"box_2d\": [550, 136, 586, 174], \"label\": \"chicory seed\"},\n {\"box_2d\": [555, 361, 597, 396], \"label\": \"chicory seed\"},\n {\"box_2d\": [555, 642, 597, 673], \"label\": \"chicory seed\"},\n {\"box_2d\": [559, 163, 600, 195], \"label\": \"chicory seed\"},\n {\"box_2d\": [560, 521, 599, 559], \"label\": \"chicory seed\"},\n {\"box_2d\": [565, 111, 607, 140], \"label\": \"chicory seed\"},\n {\"box_2d\": [566, 748, 594, 791], \"label\": \"chicory seed\"},\n {\"box_2d\": [568, 194, 611, 224], \"label\": \"chicory seed\"},\n {\"box_2d\": [571, 287, 601, 330], \"label\": \"chicory seed\"},\n {\"box_2d\": [573, 550, 605, 594], \"label\": \"chicory seed\"},\n {\"box_2d\": [573, 843, 612, 881], \"label\": \"chicory seed\"},\n {\"box_2d\": [574, 718, 615, 750], \"label\": \"chicory seed\"},\n {\"box_2d\": [576, 255, 616, 292], \"label\": \"chicory seed\"},\n {\"box_2d\": [584, 137, 617, 180], \"label\": \"chicory seed\"},\n {\"box_2d\": [592, 313, 620, 358], \"label\": \"chicory seed\"},\n {\"box_2d\": [593, 658, 622, 702], \"label\": \"chicory seed\"},\n {\"box_2d\": [596, 854, 635, 888], \"label\": \"chicory seed\"},\n {\"box_2d\": [597, 610, 641, 641], \"label\": \"chicory seed\"},\n {\"box_2d\": [598, 790, 636, 827], \"label\": \"chicory seed\"},\n {\"box_2d\": [602, 516, 640, 562], \"label\": \"chicory seed\"},\n {\"box_2d\": [603, 417, 636, 458], \"label\": \"chicory seed\"},\n {\"box_2d\": [603, 822, 644, 849], \"label\": \"chicory seed\"},\n {\"box_2d\": [606, 297, 645, 333], \"label\": \"chicory seed\"},\n {\"box_2d\": [606, 641, 642, 681], \"label\": \"chicory seed\"},\n {\"box_2d\": [607, 350, 636, 393], \"label\": \"chicory seed\"},\n {\"box_2d\": [607, 480, 648, 514], \"label\": \"chicory seed\"},\n {\"box_2d\": [609, 166, 637, 209], \"label\": \"chicory seed\"},\n {\"box_2d\": [618, 388, 657, 427], \"label\": \"chicory seed\"},\n {\"box_2d\": [626, 847, 668, 873], \"label\": \"chicory seed\"},\n {\"box_2d\": [629, 658, 664, 700], \"label\": \"chicory seed\"},\n {\"box_2d\": [632, 127, 672, 157], \"label\": \"chicory seed\"},\n {\"box_2d\": [634, 197, 671, 234], \"label\": \"chicory seed\"},\n {\"box_2d\": [635, 281, 674, 318], \"label\": \"chicory seed\"},\n {\"box_2d\": [635, 571, 673, 610], \"label\": \"chicory seed\"},\n {\"box_2d\": [636, 150, 679, 179], \"label\": \"chicory seed\"},\n {\"box_2d\": [636, 319, 677, 349], \"label\": \"chicory seed\"},\n {\"box_2d\": [637, 333, 670, 369], \"label\": \"chicory seed\"},\n {\"box_2d\": [640, 249, 675, 288], \"label\": \"chicory seed\"},\n {\"box_2d\": [649, 724, 689, 759], \"label\": \"chicory seed\"},\n {\"box_2d\": [651, 401, 687, 443], \"label\": \"chicory seed\"},\n {\"box_2d\": [652, 794, 690, 831], \"label\": \"chicory seed\"},\n {\"box_2d\": [656, 307, 698, 336], \"label\": \"chicory seed\"},\n {\"box_2d\": [658, 169, 701, 199], \"label\": \"chicory seed\"},\n {\"box_2d\": [659, 209, 687, 253], \"label\": \"chicory seed\"},\n {\"box_2d\": [662, 642, 689, 685], \"label\": \"chicory seed\"},\n {\"box_2d\": [663, 332, 702, 358], \"label\": \"chicory seed\"},\n {\"box_2d\": [667, 144, 709, 173], \"label\": \"chicory seed\"},\n {\"box_2d\": [667, 279, 706, 311], \"label\": \"chicory seed\"},\n {\"box_2d\": [667, 526, 702, 565], \"label\": \"chicory seed\"},\n {\"box_2d\": [669, 353, 696, 396], \"label\": \"chicory seed\"},\n {\"box_2d\": [671, 195, 713, 225], \"label\": \"chicory seed\"},\n {\"box_2d\": [672, 687, 707, 730], \"label\": \"chicory seed\"},\n {\"box_2d\": [674, 235, 701, 281], \"label\": \"chicory seed\"},\n {\"box_2d\": [674, 419, 713, 455], \"label\": \"chicory seed\"},\n {\"box_2d\": [678, 561, 716, 601], \"label\": \"chicory seed\"},\n {\"box_2d\": [679, 756, 712, 797], \"label\": \"chicory seed\"},\n {\"box_2d\": [686, 220, 722, 261], \"label\": \"chicory seed\"},\n {\"box_2d\": [687, 490, 722, 533], \"label\": \"chicory seed\"},\n {\"box_2d\": [689, 700, 727, 738], \"label\": \"chicory seed\"},\n {\"box_2d\": [690, 798, 723, 842], \"label\": \"chicory seed\"},\n {\"box_2d\": [691, 341, 724, 378], \"label\": \"chicory seed\"},\n {\"box_2d\": [692, 607, 720, 652], \"label\": \"chicory seed\"},\n {\"box_2d\": [695, 304, 723, 346], \"label\": \"chicory seed\"},\n {\"box_2d\": [697, 168, 729, 211], \"label\": \"chicory seed\"},\n {\"box_2d\": [699, 540, 739, 568], \"label\": \"chicory seed\"},\n {\"box_2d\": [700, 370, 729, 413], \"label\": \"chicory seed\"},\n {\"box_2d\": [700, 736, 738, 773], \"label\": \"chicory seed\"},\n {\"box_2d\": [705, 260, 733, 305], \"label\": \"chicory seed\"},\n {\"box_2d\": [710, 771, 753, 798], \"label\": \"chicory seed\"},\n {\"box_2d\": [711, 186, 751, 223], \"label\": \"chicory seed\"},\n {\"box_2d\": [712, 415, 740, 458], \"label\": \"chicory seed\"},\n {\"box_2d\": [716, 565, 757, 599], \"label\": \"chicory seed\"},\n {\"box_2d\": [716, 593, 748, 637], \"label\": \"chicory seed\"},\n {\"box_2d\": [717, 346, 742, 392], \"label\": \"chicory seed\"},\n {\"box_2d\": [719, 302, 749, 346], \"label\": \"chicory seed\"},\n {\"box_2d\": [720, 459, 747, 504], \"label\": \"chicory seed\"},\n {\"box_2d\": [721, 719, 758, 758], \"label\": \"chicory seed\"},\n {\"box_2d\": [723, 204, 765, 239], \"label\": \"chicory seed\"},\n {\"box_2d\": [724, 646, 761, 686], \"label\": \"chicory seed\"},\n {\"box_2d\": [731, 380, 774, 410], \"label\": \"chicory seed\"},\n {\"box_2d\": [733, 264, 762, 306], \"label\": \"chicory seed\"},\n {\"box_2d\": [733, 408, 760, 452], \"label\": \"chicory seed\"},\n {\"box_2d\": [735, 358, 776, 384], \"label\": \"chicory seed\"},\n {\"box_2d\": [738, 693, 765, 738], \"label\": \"chicory seed\"},\n {\"box_2d\": [739, 535, 782, 564], \"label\": \"chicory seed\"},\n {\"box_2d\": [741, 225, 776, 263], \"label\": \"chicory seed\"},\n {\"box_2d\": [742, 299, 784, 324], \"label\": \"chicory seed\"},\n {\"box_2d\": [747, 320, 787, 344], \"label\": \"chicory seed\"},\n {\"box_2d\": [751, 628, 793, 659], \"label\": \"chicory seed\"},\n {\"box_2d\": [752, 240, 792, 269], \"label\": \"chicory seed\"},\n {\"box_2d\": [752, 391, 794, 422], \"label\": \"chicory seed\"},\n {\"box_2d\": [753, 509, 792, 549], \"label\": \"chicory seed\"},\n {\"box_2d\": [755, 334, 797, 363], \"label\": \"chicory seed\"},\n {\"box_2d\": [756, 559, 792, 600], \"label\": \"chicory seed\"},\n {\"box_2d\": [758, 421, 800, 453], \"label\": \"chicory seed\"},\n {\"box_2d\": [759, 727, 797, 765], \"label\": \"chicory seed\"},\n {\"box_2d\": [760, 264, 786, 307], \"label\": \"chicory seed\"},\n {\"box_2d\": [760, 458, 802, 487], \"label\": \"chicory seed\"},\n {\"box_2d\": [761, 657, 793, 698], \"label\": \"chicory seed\"},\n {\"box_2d\": [764, 693, 805, 725], \"label\": \"chicory seed\"},\n {\"box_2d\": [774, 352, 799, 393], \"label\": \"chicory seed\"},\n {\"box_2d\": [775, 397, 814, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [777, 253, 811, 294], \"label\": \"chicory seed\"},\n {\"box_2d\": [779, 495, 815, 537], \"label\": \"chicory seed\"},\n {\"box_2d\": [784, 292, 818, 333], \"label\": \"chicory seed\"},\n {\"box_2d\": [795, 359, 826, 399], \"label\": \"chicory seed\"},\n {\"box_2d\": [796, 334, 836, 368], \"label\": \"chicory seed\"},\n {\"box_2d\": [796, 552, 829, 594], \"label\": \"chicory seed\"},\n {\"box_2d\": [796, 661, 829, 703], \"label\": \"chicory seed\"},\n {\"box_2d\": [803, 432, 833, 476], \"label\": \"chicory seed\"},\n {\"box_2d\": [804, 697, 836, 740], \"label\": \"chicory seed\"},\n {\"box_2d\": [806, 310, 848, 339], \"label\": \"chicory seed\"},\n {\"box_2d\": [814, 521, 856, 550], \"label\": \"chicory seed\"},\n {\"box_2d\": [819, 386, 862, 414], \"label\": \"chicory seed\"},\n {\"box_2d\": [823, 361, 865, 389], \"label\": \"chicory seed\"},\n {\"box_2d\": [825, 659, 856, 702], \"label\": \"chicory seed\"},\n {\"box_2d\": [828, 441, 857, 486], \"label\": \"chicory seed\"},\n {\"box_2d\": [830, 556, 860, 603], \"label\": \"chicory seed\"},\n {\"box_2d\": [841, 610, 871, 655], \"label\": \"chicory seed\"},\n {\"box_2d\": [858, 413, 885, 464], \"label\": \"chicory seed\"},\n {\"box_2d\": [860, 500, 886, 546], \"label\": \"chicory seed\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 18498, "elapsed_seconds": 150.6649692079518, "metadata": {"match_method": "map", "num_predictions": 291, "num_ground_truth": 291, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3465346395969391, "attempts": 3, "retries": 2, "total_seconds": 279.1438, "transient_errors": ["RemoteProtocolError", "RemoteProtocolError"]}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 245, "image": "DJI_0271_JPG_jpg.rf.58c0e5179915be4446df421b02825d3d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 360, 1000, 626], \"label\": \"tower crane\"},\n {\"box_2d\": [549, 790, 712, 915], \"label\": \"excavator\"},\n {\"box_2d\": [321, 680, 357, 733], \"label\": \"excavator\"},\n {\"box_2d\": [264, 86, 314, 130], \"label\": \"excavator\"},\n {\"box_2d\": [223, 83, 279, 114], \"label\": \"excavator\"},\n {\"box_2d\": [184, 790, 233, 828], \"label\": \"dump truck\"}\n]\n```", "correct": true, "input_tokens": 1206, "output_tokens": 1810, "elapsed_seconds": 37.98580583301373, "metadata": {"match_method": "map", "num_predictions": 6, "num_ground_truth": 6, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 38.8838}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 246, "image": "IMG_3900_JPG.rf.5ee75659ac02193213ba7636038947a4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [405, 154, 477, 264], \"label\": \"500 poker chip\"},\n {\"box_2d\": [500, 92, 581, 211], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [513, 205, 596, 324], \"label\": \"100 poker chip\"},\n {\"box_2d\": [591, 135, 681, 262], \"label\": \"10 poker chip\"},\n {\"box_2d\": [416, 265, 488, 376], \"label\": \"10 poker chip\"},\n {\"box_2d\": [358, 320, 425, 426], \"label\": \"10 poker chip\"},\n {\"box_2d\": [469, 326, 545, 439], \"label\": \"500 poker chip\"},\n {\"box_2d\": [566, 285, 654, 407], \"label\": \"10 poker chip\"},\n {\"box_2d\": [525, 393, 608, 511], \"label\": \"10 poker chip\"},\n {\"box_2d\": [631, 355, 728, 483], \"label\": \"10 poker chip\"},\n {\"box_2d\": [698, 250, 803, 385], \"label\": \"20 poker chip\"},\n {\"box_2d\": [718, 398, 825, 534], \"label\": \"10 poker chip\"},\n {\"box_2d\": [427, 422, 502, 532], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [368, 485, 436, 592], \"label\": \"5 poker chip\"},\n {\"box_2d\": [326, 566, 391, 669], \"label\": \"50 poker chip\"},\n {\"box_2d\": [393, 638, 464, 748], \"label\": \"10000 poker chip\"},\n {\"box_2d\": [458, 682, 535, 798], \"label\": \"50 poker chip\"},\n {\"box_2d\": [482, 489, 561, 603], \"label\": \"100 poker chip\"},\n {\"box_2d\": [503, 599, 584, 717], \"label\": \"100 poker chip\"},\n {\"box_2d\": [540, 740, 624, 864], \"label\": \"100 poker chip\"},\n {\"box_2d\": [624, 738, 718, 868], \"label\": \"100 poker chip\"},\n {\"box_2d\": [581, 616, 672, 741], \"label\": \"5 poker chip\"},\n {\"box_2d\": [593, 470, 685, 593], \"label\": \"50 poker chip\"},\n {\"box_2d\": [689, 638, 793, 773], \"label\": \"100 poker chip\"},\n {\"box_2d\": [743, 529, 853, 667], \"label\": \"100 poker chip\"}\n]\n```", "correct": true, "input_tokens": 1252, "output_tokens": 2601, "elapsed_seconds": 28.2244310840033, "metadata": {"match_method": "map", "num_predictions": 25, "num_ground_truth": 25, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 28.8285}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 247, "image": "9AAEA6F5-FD0E-47BE-8596-0D85E5F62F1A_jpg.rf.7b7e8cbfdfc78f2c2cad6219290c51d6.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [136, 181, 189, 266], \"label\": \"pill\"},\n {\"box_2d\": [169, 212, 209, 300], \"label\": \"pill\"},\n {\"box_2d\": [138, 268, 195, 350], \"label\": \"pill\"},\n {\"box_2d\": [164, 410, 245, 455], \"label\": \"pill\"},\n {\"box_2d\": [165, 466, 236, 535], \"label\": \"pill\"},\n {\"box_2d\": [161, 541, 207, 623], \"label\": \"pill\"},\n {\"box_2d\": [91, 728, 174, 766], \"label\": \"pill\"},\n {\"box_2d\": [155, 686, 224, 757], \"label\": \"pill\"},\n {\"box_2d\": [262, 206, 344, 259], \"label\": \"pill\"},\n {\"box_2d\": [381, 186, 449, 264], \"label\": \"pill\"},\n {\"box_2d\": [447, 166, 536, 209], \"label\": \"pill\"},\n {\"box_2d\": [496, 251, 574, 323], \"label\": \"pill\"},\n {\"box_2d\": [442, 327, 530, 376], \"label\": \"pill\"},\n {\"box_2d\": [450, 359, 537, 408], \"label\": \"pill\"},\n {\"box_2d\": [464, 444, 539, 513], \"label\": \"pill\"},\n {\"box_2d\": [520, 388, 560, 476], \"label\": \"pill\"},\n {\"box_2d\": [555, 353, 591, 445], \"label\": \"pill\"},\n {\"box_2d\": [601, 361, 692, 400], \"label\": \"pill\"},\n {\"box_2d\": [695, 285, 752, 376], \"label\": \"pill\"},\n {\"box_2d\": [793, 288, 845, 382], \"label\": \"pill\"},\n {\"box_2d\": [245, 372, 301, 453], \"label\": \"pill\"},\n {\"box_2d\": [296, 433, 381, 484], \"label\": \"pill\"},\n {\"box_2d\": [286, 472, 342, 553], \"label\": \"pill\"},\n {\"box_2d\": [320, 485, 378, 565], \"label\": \"pill\"},\n {\"box_2d\": [351, 521, 435, 569], \"label\": \"pill\"},\n {\"box_2d\": [315, 566, 401, 601], \"label\": \"pill\"},\n {\"box_2d\": [312, 599, 398, 633], \"label\": \"pill\"},\n {\"box_2d\": [337, 628, 423, 663], \"label\": \"pill\"},\n {\"box_2d\": [333, 661, 420, 696], \"label\": \"pill\"},\n {\"box_2d\": [296, 688, 380, 723], \"label\": \"pill\"},\n {\"box_2d\": [294, 721, 376, 777], \"label\": \"pill\"},\n {\"box_2d\": [360, 706, 445, 753], \"label\": \"pill\"},\n {\"box_2d\": [376, 738, 463, 779], \"label\": \"pill\"},\n {\"box_2d\": [402, 528, 470, 604], \"label\": \"pill\"},\n {\"box_2d\": [441, 549, 513, 622], \"label\": \"pill\"},\n {\"box_2d\": [466, 574, 530, 653], \"label\": \"pill\"},\n {\"box_2d\": [519, 619, 598, 685], \"label\": \"pill\"},\n {\"box_2d\": [468, 727, 549, 789], \"label\": \"pill\"},\n {\"box_2d\": [554, 685, 643, 731], \"label\": \"pill\"},\n {\"box_2d\": [587, 725, 673, 781], \"label\": \"pill\"},\n {\"box_2d\": [562, 749, 648, 805], \"label\": \"pill\"},\n {\"box_2d\": [684, 638, 726, 729], \"label\": \"pill\"},\n {\"box_2d\": [719, 640, 765, 731], \"label\": \"pill\"},\n {\"box_2d\": [756, 631, 801, 723], \"label\": \"pill\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 4113, "elapsed_seconds": 36.355655750026926, "metadata": {"match_method": "map", "num_predictions": 44, "num_ground_truth": 44, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 36.8097}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 248, "image": "DJI_0237_JPG_jpg.rf.cb5e6b368dca69cc9b7bc36fb47fd6fb.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [584, 557, 750, 623], \"label\": \"excavator\"},\n {\"box_2d\": [381, 864, 434, 949], \"label\": \"concrete mixer\"},\n {\"box_2d\": [253, 538, 297, 559], \"label\": \"concrete mixer\"},\n {\"box_2d\": [298, 179, 333, 231], \"label\": \"dump truck\"},\n {\"box_2d\": [274, 226, 305, 274], \"label\": \"dump truck\"},\n {\"box_2d\": [254, 922, 699, 1000], \"label\": \"tower crane\"},\n {\"box_2d\": [0, 833, 229, 984], \"label\": \"tower crane\"}\n]\n```", "correct": true, "input_tokens": 1209, "output_tokens": 3749, "elapsed_seconds": 59.336707999929786, "metadata": {"match_method": "map", "num_predictions": 7, "num_ground_truth": 7, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 60.2029}} +{"model": "gemini-4-argon", "effort": "high", "task": "detection", "timestamp": "20261013_074327", "index": 249, "image": "42ba34_9_9_png_jpg.rf.30ad6b17178011a7360591145cf422a2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [381, 20, 419, 30], \"label\": \"goalkeeper\"},\n {\"box_2d\": [466, 165, 513, 181], \"label\": \"player\"},\n {\"box_2d\": [477, 199, 526, 211], \"label\": \"player\"},\n {\"box_2d\": [612, 256, 667, 270], \"label\": \"player\"},\n {\"box_2d\": [588, 315, 639, 328], \"label\": \"player\"},\n {\"box_2d\": [368, 307, 405, 321], \"label\": \"player\"},\n {\"box_2d\": [355, 319, 396, 330], \"label\": \"player\"},\n {\"box_2d\": [300, 409, 333, 417], \"label\": \"player\"},\n {\"box_2d\": [508, 437, 561, 449], \"label\": \"player\"},\n {\"box_2d\": [400, 452, 440, 464], \"label\": \"player\"},\n {\"box_2d\": [407, 455, 451, 468], \"label\": \"player\"},\n {\"box_2d\": [381, 479, 420, 496], \"label\": \"player\"},\n {\"box_2d\": [383, 478, 392, 483], \"label\": \"football\"},\n {\"box_2d\": [421, 479, 468, 490], \"label\": \"referee\"},\n {\"box_2d\": [471, 502, 520, 520], \"label\": \"player\"},\n {\"box_2d\": [312, 566, 346, 578], \"label\": \"player\"},\n {\"box_2d\": [399, 590, 444, 601], \"label\": \"player\"},\n {\"box_2d\": [323, 657, 360, 669], \"label\": \"player\"},\n {\"box_2d\": [385, 715, 425, 725], \"label\": \"player\"},\n {\"box_2d\": [397, 716, 442, 726], \"label\": \"player\"},\n {\"box_2d\": [444, 673, 491, 686], \"label\": \"player\"},\n {\"box_2d\": [544, 697, 599, 715], \"label\": \"player\"},\n {\"box_2d\": [614, 677, 675, 695], \"label\": \"player\"},\n {\"box_2d\": [755, 890, 822, 912], \"label\": \"referee\"},\n {\"box_2d\": [383, 991, 421, 1000], \"label\": \"goalkeeper\"}\n]\n```", "correct": false, "input_tokens": 1242, "output_tokens": 3220, "elapsed_seconds": 29.573212083079852, "metadata": {"match_method": "map", "num_predictions": 25, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6658415794372559, "attempts": 1, "retries": 0, "total_seconds": 29.6615}} diff --git a/results/detection_gemini-4-argon_low_20261013_070835.jsonl b/results/detection_gemini-4-argon_low_20261013_070835.jsonl new file mode 100644 index 0000000..6fe17e1 --- /dev/null +++ b/results/detection_gemini-4-argon_low_20261013_070835.jsonl @@ -0,0 +1,250 @@ +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 0, "image": "Screenshot-2024-05-16-144612_png.rf.ae5a345319058fdba768605388143544.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [774, 700, 804, 735], \"label\": \"bullet hole\"},\n {\"box_2d\": [954, 687, 987, 725], \"label\": \"bullet hole\"},\n {\"box_2d\": [953, 888, 983, 919], \"label\": \"bullet hole\"},\n {\"box_2d\": [838, 888, 867, 919], \"label\": \"bullet hole\"},\n {\"box_2d\": [832, 570, 862, 608], \"label\": \"bullet hole\"},\n {\"box_2d\": [817, 456, 848, 490], \"label\": \"bullet hole\"},\n {\"box_2d\": [864, 430, 895, 462], \"label\": \"bullet hole\"},\n {\"box_2d\": [648, 390, 677, 424], \"label\": \"bullet hole\"},\n {\"box_2d\": [562, 461, 596, 495], \"label\": \"bullet hole\"},\n {\"box_2d\": [517, 822, 548, 856], \"label\": \"bullet hole\"},\n {\"box_2d\": [572, 885, 606, 919], \"label\": \"bullet hole\"},\n {\"box_2d\": [526, 964, 558, 998], \"label\": \"bullet hole\"},\n {\"box_2d\": [454, 888, 487, 922], \"label\": \"bullet hole\"},\n {\"box_2d\": [414, 966, 448, 1000], \"label\": \"bullet hole\"},\n {\"box_2d\": [400, 756, 432, 790], \"label\": \"bullet hole\"},\n {\"box_2d\": [361, 546, 391, 579], \"label\": \"bullet hole\"},\n {\"box_2d\": [286, 546, 319, 579], \"label\": \"bullet hole\"},\n {\"box_2d\": [210, 548, 241, 580], \"label\": \"bullet hole\"},\n {\"box_2d\": [117, 830, 146, 861], \"label\": \"bullet hole\"},\n {\"box_2d\": [272, 830, 300, 859], \"label\": \"bullet hole\"},\n {\"box_2d\": [159, 258, 193, 291], \"label\": \"bullet hole\"},\n {\"box_2d\": [239, 270, 270, 301], \"label\": \"bullet hole\"},\n {\"box_2d\": [348, 283, 380, 316], \"label\": \"bullet hole\"},\n {\"box_2d\": [414, 290, 448, 326], \"label\": \"bullet hole\"},\n {\"box_2d\": [612, 68, 643, 100], \"label\": \"bullet hole\"},\n {\"box_2d\": [701, 309, 729, 336], \"label\": \"bullet hole\"},\n {\"box_2d\": [817, 229, 851, 261], \"label\": \"bullet hole\"},\n {\"box_2d\": [890, 155, 916, 185], \"label\": \"bullet hole\"},\n {\"box_2d\": [832, 38, 861, 72], \"label\": \"bullet hole\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 1025, "elapsed_seconds": 10.92837049998343, "metadata": {"match_method": "map", "num_predictions": 29, "num_ground_truth": 29, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 10.9597}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 1, "image": "img_462887999701516572_png.rf.318af6a4e9ad42c15e8fcc520375ad9b.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [723, 114, 819, 286], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [647, 130, 725, 303], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [576, 155, 648, 320], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [512, 179, 581, 333], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [453, 198, 521, 342], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [399, 217, 468, 353], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [351, 237, 419, 363], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [306, 255, 372, 371], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [289, 367, 350, 479], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [332, 356, 396, 474], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [380, 349, 449, 471], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [432, 333, 501, 463], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [489, 323, 558, 462], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [552, 311, 622, 459], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [618, 293, 692, 449], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [691, 274, 779, 440], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [735, 413, 829, 576], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [658, 427, 738, 582], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [588, 437, 659, 587], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [523, 446, 591, 587], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [463, 451, 529, 585], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [408, 456, 473, 583], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [357, 463, 419, 584], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [310, 469, 369, 583], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [293, 574, 358, 687], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [338, 574, 402, 693], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [387, 571, 455, 694], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [441, 570, 511, 701], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [499, 571, 570, 712], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [565, 570, 636, 718], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [633, 567, 708, 725], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [705, 565, 797, 731], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [737, 721, 835, 902], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [661, 710, 744, 888], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [592, 699, 665, 868], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [527, 697, 596, 855], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [466, 689, 535, 838], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [409, 685, 480, 827], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [360, 683, 427, 813], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [314, 680, 378, 800], \"label\": \"full portable gas cylinder\"}\n]\n```", "correct": true, "input_tokens": 1217, "output_tokens": 1492, "elapsed_seconds": 16.636890499969013, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 40, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 17.0424}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 2, "image": "basketball-player-detection_boston-celtics-new-york-knicks-game-1-q1-03-16-03-11-0135_png.rf.87404d3bb76bef98d9e926e5ec1e2966.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [266, 290, 300, 307], \"label\": \"basketball\"},\n {\"box_2d\": [269, 306, 291, 336], \"label\": \"basket rim\"},\n {\"box_2d\": [278, 319, 624, 381], \"label\": \"player doing layup dunk\"},\n {\"box_2d\": [278, 319, 624, 381], \"label\": \"player\"},\n {\"box_2d\": [393, 283, 643, 391], \"label\": \"player\"},\n {\"box_2d\": [368, 370, 594, 434], \"label\": \"player\"},\n {\"box_2d\": [459, 412, 704, 488], \"label\": \"player\"},\n {\"box_2d\": [630, 348, 902, 416], \"label\": \"player\"},\n {\"box_2d\": [836, 411, 1000, 471], \"label\": \"referee\"},\n {\"box_2d\": [273, 672, 505, 736], \"label\": \"player\"},\n {\"box_2d\": [410, 800, 689, 850], \"label\": \"player\"},\n {\"box_2d\": [656, 725, 952, 821], \"label\": \"player\"},\n {\"box_2d\": [746, 879, 998, 965], \"label\": \"player\"},\n {\"box_2d\": [704, 377, 735, 391], \"label\": \"jersey number\"},\n {\"box_2d\": [526, 454, 550, 463], \"label\": \"jersey number\"},\n {\"box_2d\": [336, 706, 358, 713], \"label\": \"jersey number\"},\n {\"box_2d\": [729, 777, 761, 801], \"label\": \"jersey number\"},\n {\"box_2d\": [898, 429, 924, 444], \"label\": \"jersey number\"},\n {\"box_2d\": [278, 263, 472, 304], \"label\": \"referee\"}\n]\n```", "correct": false, "input_tokens": 1256, "output_tokens": 671, "elapsed_seconds": 9.706936832983047, "metadata": {"match_method": "map", "num_predictions": 19, "num_ground_truth": 19, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6701241135597229, "attempts": 1, "retries": 0, "total_seconds": 9.8754}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 3, "image": "fall-detection_all_mp4-1653_jpg.rf.9fa9a5ca42070b76929d3ba6ab91e945.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [468, 353, 539, 512], \"label\": \"fallen person\"},\n {\"box_2d\": [512, 429, 623, 591], \"label\": \"fallen person\"},\n {\"box_2d\": [417, 212, 483, 339], \"label\": \"fallen person\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 117, "elapsed_seconds": 4.734725208953023, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 4.7617}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 4, "image": "Screenshot-2024-05-16-150857_png.rf.d53edfaec65ba17dbc56ff856e70ed0d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [779, 365, 811, 396], \"label\": \"bullet hole\"},\n {\"box_2d\": [921, 631, 950, 661], \"label\": \"bullet hole\"},\n {\"box_2d\": [797, 228, 830, 258], \"label\": \"bullet hole\"},\n {\"box_2d\": [294, 63, 325, 92], \"label\": \"bullet hole\"},\n {\"box_2d\": [338, 323, 369, 353], \"label\": \"bullet hole\"},\n {\"box_2d\": [891, 185, 921, 214], \"label\": \"bullet hole\"},\n {\"box_2d\": [608, 879, 638, 908], \"label\": \"bullet hole\"},\n {\"box_2d\": [26, 463, 52, 488], \"label\": \"bullet hole\"},\n {\"box_2d\": [162, 619, 189, 648], \"label\": \"bullet hole\"},\n {\"box_2d\": [70, 630, 97, 659], \"label\": \"bullet hole\"},\n {\"box_2d\": [59, 519, 86, 548], \"label\": \"bullet hole\"},\n {\"box_2d\": [111, 825, 141, 855], \"label\": \"bullet hole\"},\n {\"box_2d\": [138, 209, 165, 237], \"label\": \"bullet hole\"},\n {\"box_2d\": [468, 142, 498, 170], \"label\": \"bullet hole\"},\n {\"box_2d\": [546, 964, 575, 993], \"label\": \"bullet hole\"},\n {\"box_2d\": [614, 407, 646, 436], \"label\": \"bullet hole\"},\n {\"box_2d\": [682, 267, 713, 297], \"label\": \"bullet hole\"},\n {\"box_2d\": [709, 567, 740, 597], \"label\": \"bullet hole\"},\n {\"box_2d\": [691, 722, 720, 752], \"label\": \"bullet hole\"},\n {\"box_2d\": [811, 811, 839, 838], \"label\": \"bullet hole\"},\n {\"box_2d\": [953, 976, 984, 1000], \"label\": \"bullet hole\"},\n {\"box_2d\": [437, 311, 467, 339], \"label\": \"bullet hole\"},\n {\"box_2d\": [520, 543, 550, 571], \"label\": \"bullet hole\"},\n {\"box_2d\": [436, 672, 464, 701], \"label\": \"bullet hole\"},\n {\"box_2d\": [208, 889, 237, 918], \"label\": \"bullet hole\"},\n {\"box_2d\": [117, 321, 149, 350], \"label\": \"bullet hole\"},\n {\"box_2d\": [408, 922, 437, 948], \"label\": \"bullet hole\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 950, "elapsed_seconds": 10.903735624975525, "metadata": {"match_method": "map", "num_predictions": 27, "num_ground_truth": 32, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8415841460227966, "attempts": 1, "retries": 0, "total_seconds": 10.9315}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 5, "image": "oil-tank-detection_oiltank_9_jpg.rf.acb372553a5f5f447313e4035eef562f.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [117, 100, 232, 200], \"label\": \"oil tank\"},\n {\"box_2d\": [115, 229, 234, 333], \"label\": \"oil tank\"},\n {\"box_2d\": [108, 360, 224, 469], \"label\": \"oil tank\"},\n {\"box_2d\": [105, 494, 217, 601], \"label\": \"oil tank\"},\n {\"box_2d\": [99, 628, 214, 735], \"label\": \"oil tank\"},\n {\"box_2d\": [95, 761, 209, 868], \"label\": \"oil tank\"},\n {\"box_2d\": [274, 100, 391, 205], \"label\": \"oil tank\"},\n {\"box_2d\": [266, 233, 386, 337], \"label\": \"oil tank\"},\n {\"box_2d\": [258, 366, 381, 472], \"label\": \"oil tank\"},\n {\"box_2d\": [254, 502, 375, 606], \"label\": \"oil tank\"},\n {\"box_2d\": [248, 634, 370, 740], \"label\": \"oil tank\"},\n {\"box_2d\": [244, 769, 366, 875], \"label\": \"oil tank\"},\n {\"box_2d\": [485, 96, 610, 207], \"label\": \"oil tank\"},\n {\"box_2d\": [481, 233, 605, 342], \"label\": \"oil tank\"},\n {\"box_2d\": [474, 369, 602, 477], \"label\": \"oil tank\"},\n {\"box_2d\": [470, 504, 594, 614], \"label\": \"oil tank\"},\n {\"box_2d\": [461, 643, 587, 749], \"label\": \"oil tank\"},\n {\"box_2d\": [626, 366, 758, 483], \"label\": \"oil tank\"},\n {\"box_2d\": [621, 510, 749, 621], \"label\": \"oil tank\"},\n {\"box_2d\": [618, 650, 742, 756], \"label\": \"oil tank\"}\n]\n```", "correct": true, "input_tokens": 1217, "output_tokens": 709, "elapsed_seconds": 9.944074833998457, "metadata": {"match_method": "map", "num_predictions": 20, "num_ground_truth": 20, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 10.042}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 6, "image": "signatures_image_38_png_jpg.rf.1d9c4bd922f8563e58275de808cd3984.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [363, 748, 412, 929], \"label\": \"signature\"},\n {\"box_2d\": [437, 646, 467, 701], \"label\": \"signature\"},\n {\"box_2d\": [949, 635, 982, 694], \"label\": \"signature\"},\n {\"box_2d\": [860, 761, 916, 949], \"label\": \"signature\"}\n]\n```", "correct": true, "input_tokens": 1211, "output_tokens": 148, "elapsed_seconds": 3.890413707937114, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 3.9199}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 7, "image": "1704193901210_jpg.rf.2395376f26cee29d85e60b22c59c37b4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [578, 263, 635, 304], \"label\": \"corn kernel\"},\n {\"box_2d\": [404, 316, 471, 370], \"label\": \"corn kernel\"},\n {\"box_2d\": [266, 411, 325, 469], \"label\": \"corn kernel\"},\n {\"box_2d\": [539, 425, 588, 488], \"label\": \"corn kernel\"},\n {\"box_2d\": [617, 563, 675, 610], \"label\": \"corn kernel\"},\n {\"box_2d\": [309, 528, 353, 600], \"label\": \"corn kernel\"},\n {\"box_2d\": [416, 617, 475, 681], \"label\": \"corn kernel\"},\n {\"box_2d\": [531, 654, 581, 728], \"label\": \"corn kernel\"},\n {\"box_2d\": [454, 784, 500, 845], \"label\": \"corn kernel\"},\n {\"box_2d\": [514, 770, 577, 813], \"label\": \"corn kernel\"},\n {\"box_2d\": [609, 748, 657, 807], \"label\": \"corn kernel\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 397, "elapsed_seconds": 5.80299691692926, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 5.8231}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 8, "image": "IMG_0620_jpeg.rf.0c9c3b0a23079483a0b0e1651801d9a9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [291, 383, 367, 474], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [281, 511, 376, 583], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [284, 581, 391, 644], \"label\": \"caramel corn jelly bean\"},\n {\"box_2d\": [381, 510, 488, 594], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [507, 331, 643, 413], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [399, 389, 501, 480], \"label\": \"peach jelly bean\"},\n {\"box_2d\": [377, 265, 492, 329], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [489, 513, 613, 594], \"label\": \"peach jelly bean\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 315, "elapsed_seconds": 12.946119458065368, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 12.9954}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 9, "image": "paper-parts_163482_102_jpg.rf.d878bfe8193ad78ee6e9bd012ea9324e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [93, 118, 108, 573], \"label\": \"subsection\"},\n {\"box_2d\": [127, 118, 141, 707], \"label\": \"paragraph\"},\n {\"box_2d\": [196, 333, 344, 670], \"label\": \"figure\"},\n {\"box_2d\": [368, 341, 383, 658], \"label\": \"figure caption\"},\n {\"box_2d\": [432, 118, 446, 493], \"label\": \"subsection\"},\n {\"box_2d\": [467, 118, 512, 862], \"label\": \"paragraph\"},\n {\"box_2d\": [529, 333, 575, 666], \"label\": \"equation\"},\n {\"box_2d\": [581, 421, 616, 578], \"label\": \"equation\"},\n {\"box_2d\": [624, 118, 637, 613], \"label\": \"paragraph\"},\n {\"box_2d\": [654, 338, 700, 661], \"label\": \"equation\"},\n {\"box_2d\": [706, 430, 741, 569], \"label\": \"equation\"},\n {\"box_2d\": [749, 118, 762, 548], \"label\": \"paragraph\"},\n {\"box_2d\": [780, 329, 825, 670], \"label\": \"equation\"},\n {\"box_2d\": [832, 430, 867, 569], \"label\": \"equation\"},\n {\"box_2d\": [923, 491, 936, 509], \"label\": \"page number\"}\n]\n```", "correct": false, "input_tokens": 1250, "output_tokens": 523, "elapsed_seconds": 9.256499707931653, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 14, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7301979660987854, "attempts": 1, "retries": 0, "total_seconds": 9.2983}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 10, "image": "20210325_203432_jpg.rf.8eb2129f7a101d085f4cb925da755682.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [103, 275, 311, 480], \"label\": \"50 euro cent coin\"},\n {\"box_2d\": [134, 614, 294, 773], \"label\": \"2 euro cent coin\"},\n {\"box_2d\": [331, 661, 520, 850], \"label\": \"20 euro cent coin\"},\n {\"box_2d\": [291, 462, 458, 630], \"label\": \"10 euro cent coin\"},\n {\"box_2d\": [377, 162, 577, 361], \"label\": \"1 euro coin\"},\n {\"box_2d\": [536, 419, 675, 555], \"label\": \"1 euro cent coin\"},\n {\"box_2d\": [702, 205, 881, 383], \"label\": \"5 euro cent coin\"},\n {\"box_2d\": [650, 544, 869, 761], \"label\": \"2 euro coin\"}\n]\n```", "correct": true, "input_tokens": 1272, "output_tokens": 309, "elapsed_seconds": 7.0861332500353456, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 7.1251}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 11, "image": "2024-12-05T02-01-20-119Z-4010_jpg.rf.4f789285ff5c3a1889420326440bc9d1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [457, 451, 616, 571], \"label\": \"screw\"},\n {\"box_2d\": [829, 699, 907, 757], \"label\": \"screw\"},\n {\"box_2d\": [375, 483, 439, 531], \"label\": \"wire hole\"},\n {\"box_2d\": [633, 490, 697, 538], \"label\": \"wire hole\"}\n]\n```", "correct": false, "input_tokens": 1203, "output_tokens": 150, "elapsed_seconds": 10.108299957937561, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.08415841311216354, "attempts": 1, "retries": 0, "total_seconds": 10.3188}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 12, "image": "Container-146_jpg.rf.1f5b3bfa7143f6b016b2b85ca3940e5c.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [160, 611, 203, 916], \"label\": \"shipping container number\"},\n {\"box_2d\": [213, 748, 250, 824], \"label\": \"container ISO type code\"}\n]\n```", "correct": true, "input_tokens": 1232, "output_tokens": 85, "elapsed_seconds": 3.7681142499204725, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 3.7846}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 13, "image": "GP010248_JPG_jpg.rf.c2ac2602f1905971af1173c3ba311542.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [244, 756, 474, 825], \"label\": \"carrot\"},\n {\"box_2d\": [367, 795, 581, 931], \"label\": \"carrot\"},\n {\"box_2d\": [535, 709, 646, 850], \"label\": \"carrot\"},\n {\"box_2d\": [422, 659, 549, 795], \"label\": \"carrot\"},\n {\"box_2d\": [438, 566, 587, 711], \"label\": \"carrot\"},\n {\"box_2d\": [606, 569, 652, 717], \"label\": \"carrot\"},\n {\"box_2d\": [219, 616, 330, 761], \"label\": \"carrot\"},\n {\"box_2d\": [306, 469, 337, 686], \"label\": \"carrot\"},\n {\"box_2d\": [336, 544, 367, 716], \"label\": \"carrot\"},\n {\"box_2d\": [354, 480, 415, 681], \"label\": \"carrot\"},\n {\"box_2d\": [377, 439, 444, 620], \"label\": \"carrot\"},\n {\"box_2d\": [495, 447, 581, 600], \"label\": \"carrot\"},\n {\"box_2d\": [530, 452, 614, 570], \"label\": \"carrot\"},\n {\"box_2d\": [558, 473, 663, 673], \"label\": \"carrot\"},\n {\"box_2d\": [649, 416, 694, 584], \"label\": \"carrot\"},\n {\"box_2d\": [633, 278, 720, 473], \"label\": \"carrot\"},\n {\"box_2d\": [387, 367, 669, 455], \"label\": \"carrot\"},\n {\"box_2d\": [429, 372, 613, 412], \"label\": \"carrot\"},\n {\"box_2d\": [513, 339, 681, 381], \"label\": \"carrot\"},\n {\"box_2d\": [494, 264, 667, 366], \"label\": \"carrot\"},\n {\"box_2d\": [447, 223, 681, 331], \"label\": \"carrot\"},\n {\"box_2d\": [478, 186, 684, 278], \"label\": \"carrot\"},\n {\"box_2d\": [345, 228, 488, 442], \"label\": \"carrot\"},\n {\"box_2d\": [377, 142, 437, 344], \"label\": \"carrot\"},\n {\"box_2d\": [347, 117, 387, 359], \"label\": \"carrot\"},\n {\"box_2d\": [290, 181, 352, 412], \"label\": \"carrot\"},\n {\"box_2d\": [270, 278, 307, 458], \"label\": \"carrot\"},\n {\"box_2d\": [231, 300, 286, 495], \"label\": \"carrot\"},\n {\"box_2d\": [401, 117, 674, 189], \"label\": \"carrot\"},\n {\"box_2d\": [367, 39, 522, 150], \"label\": \"carrot\"},\n {\"box_2d\": [467, 28, 714, 142], \"label\": \"carrot\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 1064, "elapsed_seconds": 10.77296912507154, "metadata": {"match_method": "map", "num_predictions": 31, "num_ground_truth": 31, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 10.7988}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 14, "image": "DJI_20230529095953_0646_T_JPG_jpg.rf.9806615efd3123cda770b6e1a3358930.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [584, 370, 603, 381], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [576, 460, 596, 472], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [572, 504, 591, 517], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [557, 640, 579, 653], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [556, 686, 574, 697], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [174, 665, 196, 678], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [179, 620, 200, 633], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [221, 148, 241, 161], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [928, 814, 949, 827], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [924, 859, 944, 871], \"label\": \"solar panel hot spot\"}\n]\n```", "correct": false, "input_tokens": 1228, "output_tokens": 382, "elapsed_seconds": 6.8633204160723835, "metadata": {"match_method": "map", "num_predictions": 10, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6633663177490234, "attempts": 1, "retries": 0, "total_seconds": 6.8862}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 15, "image": "floorplan-windows-doors_1036_png.rf.377e8848ebf77a1b3fd4e54e9aaa327d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [771, 368, 845, 450], \"label\": \"door\"},\n {\"box_2d\": [769, 151, 786, 290], \"label\": \"window\"},\n {\"box_2d\": [773, 728, 793, 842], \"label\": \"window\"},\n {\"box_2d\": [769, 574, 790, 619], \"label\": \"window\"},\n {\"box_2d\": [445, 211, 500, 290], \"label\": \"door\"},\n {\"box_2d\": [493, 675, 550, 756], \"label\": \"door\"},\n {\"box_2d\": [557, 686, 615, 759], \"label\": \"door\"},\n {\"box_2d\": [659, 597, 728, 619], \"label\": \"door\"},\n {\"box_2d\": [332, 588, 378, 646], \"label\": \"door\"},\n {\"box_2d\": [319, 703, 377, 849], \"label\": \"door\"},\n {\"box_2d\": [111, 365, 248, 447], \"label\": \"door\"},\n {\"box_2d\": [117, 840, 254, 922], \"label\": \"door\"},\n {\"box_2d\": [163, 102, 180, 240], \"label\": \"window\"},\n {\"box_2d\": [164, 300, 183, 355], \"label\": \"window\"},\n {\"box_2d\": [168, 574, 186, 619], \"label\": \"window\"},\n {\"box_2d\": [171, 777, 190, 829], \"label\": \"window\"}\n]\n```", "correct": false, "input_tokens": 1211, "output_tokens": 556, "elapsed_seconds": 8.455970957991667, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 19, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7667766809463501, "attempts": 1, "retries": 0, "total_seconds": 8.5235}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 16, "image": "IMG_4942_JPG.rf.2d54601c43bd5fdd67c9d6de8428a9ef.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [298, 528, 316, 537], \"label\": \"face\"},\n {\"box_2d\": [300, 557, 316, 565], \"label\": \"face\"},\n {\"box_2d\": [301, 613, 316, 622], \"label\": \"face\"},\n {\"box_2d\": [298, 639, 315, 649], \"label\": \"face\"},\n {\"box_2d\": [326, 633, 344, 643], \"label\": \"face\"},\n {\"box_2d\": [336, 661, 353, 672], \"label\": \"face\"},\n {\"box_2d\": [348, 692, 366, 703], \"label\": \"face\"},\n {\"box_2d\": [356, 734, 372, 744], \"label\": \"face\"},\n {\"box_2d\": [362, 756, 378, 766], \"label\": \"face\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 318, "elapsed_seconds": 80.92041858297307, "metadata": {"match_method": "map", "num_predictions": 9, "num_ground_truth": 9, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 81.4177}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 17, "image": "4103433_ContLeftUpper_f_jpg.rf.c38c0a22d926bfd30646b27374a1f854.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [588, 100, 610, 125], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [596, 179, 618, 204], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [592, 151, 615, 176], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [489, 25, 509, 44], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [393, 21, 412, 43], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [328, 23, 353, 44], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [275, 103, 299, 123], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [319, 102, 344, 124], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [361, 103, 390, 123], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [398, 104, 415, 122], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [394, 181, 415, 203], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [332, 182, 357, 203], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [276, 183, 307, 204], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [328, 260, 353, 282], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [393, 262, 415, 281], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [394, 339, 417, 360], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [334, 340, 358, 361], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [280, 340, 297, 360], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [394, 420, 417, 440], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [401, 497, 422, 517], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [341, 497, 358, 517], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [283, 537, 299, 558], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [447, 695, 467, 717], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [275, 42, 293, 66], \"label\": \"shipping container wall dent\"}\n]\n```", "correct": false, "input_tokens": 1224, "output_tokens": 892, "elapsed_seconds": 31.439605250023305, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.003647733246907592, "attempts": 1, "retries": 0, "total_seconds": 31.5734}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 18, "image": "a9f16c_8_1_png_jpg.rf.21f65c07fc1fd4b937623a9b2c4bf919.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [274, 326, 306, 336], \"label\": \"player\"},\n {\"box_2d\": [397, 22, 439, 39], \"label\": \"goalkeeper\"},\n {\"box_2d\": [346, 272, 383, 284], \"label\": \"player\"},\n {\"box_2d\": [341, 298, 377, 308], \"label\": \"player\"},\n {\"box_2d\": [416, 232, 459, 245], \"label\": \"player\"},\n {\"box_2d\": [423, 288, 463, 301], \"label\": \"player\"},\n {\"box_2d\": [474, 206, 524, 226], \"label\": \"player\"},\n {\"box_2d\": [540, 207, 586, 225], \"label\": \"player\"},\n {\"box_2d\": [553, 190, 601, 214], \"label\": \"player\"},\n {\"box_2d\": [644, 278, 706, 298], \"label\": \"player\"},\n {\"box_2d\": [820, 280, 888, 300], \"label\": \"player\"},\n {\"box_2d\": [408, 403, 447, 417], \"label\": \"referee\"},\n {\"box_2d\": [442, 404, 490, 418], \"label\": \"player\"},\n {\"box_2d\": [306, 450, 348, 460], \"label\": \"player\"},\n {\"box_2d\": [304, 468, 342, 476], \"label\": \"player\"},\n {\"box_2d\": [373, 535, 414, 545], \"label\": \"player\"},\n {\"box_2d\": [423, 524, 471, 533], \"label\": \"player\"},\n {\"box_2d\": [501, 514, 551, 526], \"label\": \"player\"},\n {\"box_2d\": [595, 562, 650, 585], \"label\": \"player\"},\n {\"box_2d\": [340, 731, 376, 738], \"label\": \"player\"},\n {\"box_2d\": [342, 978, 385, 992], \"label\": \"goalkeeper\"},\n {\"box_2d\": [855, 956, 938, 978], \"label\": \"referee\"},\n {\"box_2d\": [643, 560, 656, 567], \"label\": \"football\"}\n]\n```", "correct": true, "input_tokens": 1242, "output_tokens": 796, "elapsed_seconds": 29.251404667040333, "metadata": {"match_method": "map", "num_predictions": 23, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8910890817642212, "attempts": 1, "retries": 0, "total_seconds": 29.3703}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 19, "image": "20230220_113558_jpg.rf.d5df52cc566f78f19b292c4a237d076c.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [757, 434, 954, 464], \"label\": \"crack\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 46, "elapsed_seconds": 5.451537624932826, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 5.4724}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 20, "image": "frame_0277_jpg.rf.c6aa8dac950a9954eaaa15c2c1350db2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 300, 44, 336], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 448, 49, 488], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 270, 39, 300], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 242, 36, 269], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 411, 47, 440], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [9, 129, 67, 171], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [27, 359, 85, 392], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [52, 429, 124, 464], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [4, 491, 49, 526], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [27, 526, 97, 559], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [5, 541, 46, 567], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 565, 51, 591], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [61, 270, 114, 296], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [134, 245, 193, 289], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [194, 127, 256, 177], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [165, 432, 224, 467], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [94, 626, 148, 659], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [210, 639, 276, 672], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [208, 530, 273, 571], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [328, 656, 390, 690], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [356, 586, 400, 611], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [310, 546, 366, 578], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [450, 584, 510, 622], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [456, 659, 515, 711], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [628, 687, 663, 734], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [540, 553, 623, 591], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [604, 436, 675, 482], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [868, 493, 916, 538], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [855, 217, 940, 263], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [443, 227, 526, 269], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [283, 237, 358, 281], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [336, 89, 404, 134], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [254, 367, 323, 407], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [333, 455, 408, 495], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [404, 465, 467, 507], \"label\": \"garlic on conveyor\"}\n]\n```", "correct": false, "input_tokens": 1238, "output_tokens": 1237, "elapsed_seconds": 21.59010849997867, "metadata": {"match_method": "map", "num_predictions": 35, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7428571581840515, "attempts": 1, "retries": 0, "total_seconds": 21.7236}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 21, "image": "construction-safety_ppe_0034_jpg.rf.38e91c4daafe26a0be27d2c1133af960.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [391, 631, 908, 729], \"label\": \"person\"},\n {\"box_2d\": [310, 134, 353, 183], \"label\": \"safety helmet\"},\n {\"box_2d\": [469, 646, 659, 728], \"label\": \"safety vest\"},\n {\"box_2d\": [410, 480, 908, 558], \"label\": \"person\"},\n {\"box_2d\": [392, 661, 439, 703], \"label\": \"safety helmet\"},\n {\"box_2d\": [387, 321, 435, 366], \"label\": \"safety helmet\"},\n {\"box_2d\": [370, 569, 413, 610], \"label\": \"safety helmet\"},\n {\"box_2d\": [448, 548, 690, 646], \"label\": \"safety vest\"},\n {\"box_2d\": [498, 483, 709, 557], \"label\": \"safety vest\"},\n {\"box_2d\": [416, 825, 624, 912], \"label\": \"safety vest\"},\n {\"box_2d\": [466, 391, 717, 485], \"label\": \"safety vest\"},\n {\"box_2d\": [341, 804, 911, 922], \"label\": \"person\"},\n {\"box_2d\": [373, 189, 921, 299], \"label\": \"person\"},\n {\"box_2d\": [310, 76, 922, 200], \"label\": \"person\"},\n {\"box_2d\": [366, 735, 408, 779], \"label\": \"safety helmet\"},\n {\"box_2d\": [385, 391, 909, 485], \"label\": \"person\"},\n {\"box_2d\": [340, 831, 384, 876], \"label\": \"safety helmet\"},\n {\"box_2d\": [372, 226, 419, 272], \"label\": \"safety helmet\"},\n {\"box_2d\": [401, 95, 608, 195], \"label\": \"safety vest\"},\n {\"box_2d\": [477, 292, 676, 382], \"label\": \"safety vest\"},\n {\"box_2d\": [457, 190, 672, 291], \"label\": \"safety vest\"},\n {\"box_2d\": [384, 417, 433, 459], \"label\": \"safety helmet\"},\n {\"box_2d\": [452, 721, 644, 811], \"label\": \"safety vest\"},\n {\"box_2d\": [388, 292, 915, 382], \"label\": \"person\"},\n {\"box_2d\": [410, 500, 463, 545], \"label\": \"safety helmet\"},\n {\"box_2d\": [373, 543, 906, 645], \"label\": \"person\"},\n {\"box_2d\": [367, 709, 912, 821], \"label\": \"person\"}\n]\n```", "correct": true, "input_tokens": 1222, "output_tokens": 946, "elapsed_seconds": 10.809207290993072, "metadata": {"match_method": "map", "num_predictions": 27, "num_ground_truth": 27, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 10.8512}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 22, "image": "2024-12-05T02-00-55-647Z-1001_jpg.rf.c0a64fec0c1e44672b8338dc3d88f40e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [592, 307, 734, 405], \"label\": \"wire hole\"},\n {\"box_2d\": [427, 540, 502, 595], \"label\": \"cable screw\"},\n {\"box_2d\": [266, 675, 342, 732], \"label\": \"screw\"},\n {\"box_2d\": [520, 677, 597, 735], \"label\": \"screw\"}\n]\n```", "correct": false, "input_tokens": 1206, "output_tokens": 150, "elapsed_seconds": 23.75656395801343, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6666666269302368, "attempts": 1, "retries": 0, "total_seconds": 24.0666}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 23, "image": "uav20221018_ixfZ_3857_391_png.rf.363cfc1a99bee6043b1535d35e5cf8f5.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [757, 793, 811, 832], \"label\": \"banana tree\"},\n {\"box_2d\": [749, 750, 795, 785], \"label\": \"banana tree\"},\n {\"box_2d\": [713, 801, 757, 845], \"label\": \"banana tree\"},\n {\"box_2d\": [676, 738, 725, 790], \"label\": \"banana tree\"},\n {\"box_2d\": [647, 797, 684, 838], \"label\": \"banana tree\"},\n {\"box_2d\": [612, 745, 657, 786], \"label\": \"banana tree\"},\n {\"box_2d\": [581, 791, 631, 839], \"label\": \"banana tree\"},\n {\"box_2d\": [546, 744, 583, 787], \"label\": \"banana tree\"},\n {\"box_2d\": [504, 801, 553, 829], \"label\": \"banana tree\"},\n {\"box_2d\": [476, 740, 521, 777], \"label\": \"banana tree\"},\n {\"box_2d\": [433, 795, 480, 835], \"label\": \"banana tree\"},\n {\"box_2d\": [405, 740, 449, 777], \"label\": \"banana tree\"},\n {\"box_2d\": [368, 790, 417, 826], \"label\": \"banana tree\"},\n {\"box_2d\": [341, 735, 378, 773], \"label\": \"banana tree\"},\n {\"box_2d\": [306, 797, 348, 830], \"label\": \"banana tree\"},\n {\"box_2d\": [266, 734, 309, 769], \"label\": \"banana tree\"},\n {\"box_2d\": [232, 797, 274, 828], \"label\": \"banana tree\"},\n {\"box_2d\": [199, 737, 232, 772], \"label\": \"banana tree\"},\n {\"box_2d\": [162, 789, 206, 828], \"label\": \"banana tree\"},\n {\"box_2d\": [132, 736, 174, 773], \"label\": \"banana tree\"},\n {\"box_2d\": [92, 795, 134, 825], \"label\": \"banana tree\"},\n {\"box_2d\": [60, 728, 102, 769], \"label\": \"banana tree\"},\n {\"box_2d\": [18, 793, 66, 833], \"label\": \"banana tree\"},\n {\"box_2d\": [0, 731, 31, 769], \"label\": \"banana tree\"},\n {\"box_2d\": [437, 501, 480, 533], \"label\": \"banana tree\"},\n {\"box_2d\": [407, 548, 446, 586], \"label\": \"banana tree\"},\n {\"box_2d\": [369, 495, 414, 545], \"label\": \"banana tree\"},\n {\"box_2d\": [336, 546, 373, 591], \"label\": \"banana tree\"},\n {\"box_2d\": [300, 501, 344, 535], \"label\": \"banana tree\"},\n {\"box_2d\": [271, 545, 308, 579], \"label\": \"banana tree\"},\n {\"box_2d\": [227, 494, 274, 533], \"label\": \"banana tree\"},\n {\"box_2d\": [192, 540, 241, 584], \"label\": \"banana tree\"},\n {\"box_2d\": [155, 500, 204, 534], \"label\": \"banana tree\"},\n {\"box_2d\": [126, 553, 161, 589], \"label\": \"banana tree\"},\n {\"box_2d\": [61, 554, 100, 581], \"label\": \"banana tree\"},\n {\"box_2d\": [22, 504, 66, 537], \"label\": \"banana tree\"},\n {\"box_2d\": [0, 550, 25, 583], \"label\": \"banana tree\"},\n {\"box_2d\": [36, 301, 75, 335], \"label\": \"banana tree\"},\n {\"box_2d\": [72, 248, 111, 277], \"label\": \"banana tree\"},\n {\"box_2d\": [1, 245, 44, 286], \"label\": \"banana tree\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 1393, "elapsed_seconds": 16.094161082990468, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 43, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9306930899620056, "attempts": 1, "retries": 0, "total_seconds": 16.1981}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 24, "image": "fabric-defect_511_jpg.rf.c9746a1a958e01686335a4e0e7bec57c.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [417, 402, 571, 484], \"label\": \"fabric cut\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 47, "elapsed_seconds": 4.258408333058469, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 4.2718}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 25, "image": "z4517190691608_e13e5a7742dfd1e1497d7f34e43b9a19_jpg.rf.53f3adf34b3bcf75125b6512855911b0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [757, 657, 916, 853], \"label\": \"50 poker chip\"},\n {\"box_2d\": [614, 718, 756, 907], \"label\": \"500 poker chip\"},\n {\"box_2d\": [430, 822, 558, 1000], \"label\": \"5000 poker chip\"},\n {\"box_2d\": [733, 454, 888, 646], \"label\": \"50 poker chip\"},\n {\"box_2d\": [584, 483, 725, 664], \"label\": \"20 poker chip\"},\n {\"box_2d\": [495, 636, 626, 818], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [461, 460, 586, 631], \"label\": \"20 poker chip\"},\n {\"box_2d\": [350, 517, 467, 683], \"label\": \"20 poker chip\"},\n {\"box_2d\": [298, 672, 415, 840], \"label\": \"50 poker chip\"},\n {\"box_2d\": [191, 649, 299, 809], \"label\": \"20 poker chip\"},\n {\"box_2d\": [244, 481, 355, 642], \"label\": \"10 poker chip\"},\n {\"box_2d\": [129, 486, 234, 640], \"label\": \"5 poker chip\"},\n {\"box_2d\": [92, 327, 193, 476], \"label\": \"5 poker chip\"},\n {\"box_2d\": [186, 350, 294, 505], \"label\": \"5 poker chip\"},\n {\"box_2d\": [196, 169, 303, 326], \"label\": \"5 poker chip\"},\n {\"box_2d\": [279, 275, 391, 434], \"label\": \"500 poker chip\"},\n {\"box_2d\": [373, 354, 490, 519], \"label\": \"20 poker chip\"},\n {\"box_2d\": [347, 111, 464, 276], \"label\": \"100 poker chip\"},\n {\"box_2d\": [433, 207, 557, 376], \"label\": \"100 poker chip\"},\n {\"box_2d\": [526, 310, 659, 484], \"label\": \"10 poker chip\"},\n {\"box_2d\": [592, 150, 730, 329], \"label\": \"50 poker chip\"},\n {\"box_2d\": [663, 296, 810, 479], \"label\": \"20 poker chip\"}\n]\n```", "correct": true, "input_tokens": 1251, "output_tokens": 830, "elapsed_seconds": 50.1115177499596, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 50.4107}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 26, "image": "floorplan-windows-doors_10156_png.rf.46b4865a81b54b57dfa53b894c0a0632.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [210, 297, 323, 360], \"label\": \"door\"},\n {\"box_2d\": [695, 237, 742, 281], \"label\": \"door\"},\n {\"box_2d\": [733, 298, 795, 362], \"label\": \"door\"},\n {\"box_2d\": [821, 299, 886, 358], \"label\": \"door\"},\n {\"box_2d\": [916, 265, 965, 329], \"label\": \"door\"},\n {\"box_2d\": [623, 742, 681, 801], \"label\": \"door\"},\n {\"box_2d\": [530, 750, 577, 806], \"label\": \"door\"},\n {\"box_2d\": [450, 741, 507, 801], \"label\": \"door\"},\n {\"box_2d\": [391, 807, 431, 853], \"label\": \"door\"},\n {\"box_2d\": [254, 241, 272, 294], \"label\": \"window\"},\n {\"box_2d\": [254, 372, 273, 471], \"label\": \"window\"},\n {\"box_2d\": [254, 646, 273, 745], \"label\": \"window\"},\n {\"box_2d\": [254, 818, 273, 858], \"label\": \"window\"},\n {\"box_2d\": [821, 391, 839, 490], \"label\": \"window\"},\n {\"box_2d\": [820, 649, 839, 749], \"label\": \"window\"},\n {\"box_2d\": [820, 785, 839, 839], \"label\": \"window\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 556, "elapsed_seconds": 50.036558124935254, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 17, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9504950642585754, "attempts": 1, "retries": 0, "total_seconds": 50.1059}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 27, "image": "fabric-defect_323_jpg.rf.371f41f855eb62c4f2068f1bac0ca297.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [73, 591, 134, 639], \"label\": \"fabric cut\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 46, "elapsed_seconds": 25.878090833080932, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 25.8896}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 28, "image": "54_png.rf.e797ccd3ab1732fcc95dc8f12eac1e73.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [199, 77, 304, 138], \"label\": \"not gate symbol\"},\n {\"box_2d\": [197, 179, 306, 238], \"label\": \"not gate symbol\"},\n {\"box_2d\": [197, 279, 304, 338], \"label\": \"not gate symbol\"},\n {\"box_2d\": [197, 379, 304, 439], \"label\": \"not gate symbol\"},\n {\"box_2d\": [310, 513, 432, 613], \"label\": \"and gate symbol\"},\n {\"box_2d\": [453, 513, 574, 614], \"label\": \"and gate symbol\"},\n {\"box_2d\": [593, 513, 717, 614], \"label\": \"and gate symbol\"},\n {\"box_2d\": [736, 513, 857, 614], \"label\": \"and gate symbol\"},\n {\"box_2d\": [382, 659, 503, 759], \"label\": \"or gate symbol\"},\n {\"box_2d\": [665, 658, 788, 759], \"label\": \"or gate symbol\"},\n {\"box_2d\": [524, 804, 646, 905], \"label\": \"and gate symbol\"}\n]\n```", "correct": true, "input_tokens": 1212, "output_tokens": 407, "elapsed_seconds": 21.051391958026215, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 21.0589}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 29, "image": "IMG_3802_JPG.rf.a7e888d2c6d99ef929355eb2fffb322e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [468, 379, 509, 396], \"label\": \"face\"},\n {\"box_2d\": [475, 435, 513, 452], \"label\": \"face\"},\n {\"box_2d\": [435, 523, 469, 538], \"label\": \"face\"},\n {\"box_2d\": [298, 336, 326, 350], \"label\": \"face\"},\n {\"box_2d\": [310, 359, 334, 372], \"label\": \"face\"},\n {\"box_2d\": [230, 415, 250, 424], \"label\": \"face\"},\n {\"box_2d\": [236, 440, 255, 448], \"label\": \"face\"},\n {\"box_2d\": [250, 498, 270, 507], \"label\": \"face\"},\n {\"box_2d\": [191, 229, 211, 237], \"label\": \"face\"},\n {\"box_2d\": [196, 252, 218, 261], \"label\": \"face\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 352, "elapsed_seconds": 88.63423308392521, "metadata": {"match_method": "map", "num_predictions": 10, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8118811845779419, "attempts": 1, "retries": 0, "total_seconds": 89.1233}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 30, "image": "DJI_20230529112019_0221_T_JPG_jpg.rf.8e72d3393da7d92494fccfb7bb75bfc8.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [72, 162, 189, 256], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [170, 650, 286, 758], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [520, 645, 652, 834], \"label\": \"solar panel hot spot\"}\n]\n```", "correct": false, "input_tokens": 1228, "output_tokens": 122, "elapsed_seconds": 8.160206874948926, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 17, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 8.1851}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 31, "image": "Atlantic_2025_NCPT-189_JPG_jpg.rf.7a382ad19f3061fc65305d93b2678aef.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [132, 253, 217, 286], \"label\": \"potato\"},\n {\"box_2d\": [12, 300, 76, 326], \"label\": \"potato\"},\n {\"box_2d\": [9, 340, 91, 369], \"label\": \"potato\"},\n {\"box_2d\": [21, 386, 108, 416], \"label\": \"potato\"},\n {\"box_2d\": [9, 427, 83, 459], \"label\": \"potato\"},\n {\"box_2d\": [6, 473, 83, 504], \"label\": \"potato\"},\n {\"box_2d\": [6, 517, 74, 545], \"label\": \"potato\"},\n {\"box_2d\": [7, 606, 80, 633], \"label\": \"potato\"},\n {\"box_2d\": [117, 599, 218, 639], \"label\": \"potato\"},\n {\"box_2d\": [27, 730, 117, 768], \"label\": \"potato\"},\n {\"box_2d\": [123, 734, 182, 760], \"label\": \"potato\"},\n {\"box_2d\": [99, 686, 175, 720], \"label\": \"potato\"},\n {\"box_2d\": [147, 641, 246, 680], \"label\": \"potato\"},\n {\"box_2d\": [266, 646, 332, 673], \"label\": \"potato\"},\n {\"box_2d\": [211, 688, 316, 725], \"label\": \"potato\"},\n {\"box_2d\": [303, 731, 383, 762], \"label\": \"potato\"},\n {\"box_2d\": [316, 680, 429, 726], \"label\": \"potato\"},\n {\"box_2d\": [445, 725, 536, 762], \"label\": \"potato\"},\n {\"box_2d\": [688, 680, 794, 716], \"label\": \"potato\"},\n {\"box_2d\": [481, 634, 598, 677], \"label\": \"potato\"},\n {\"box_2d\": [507, 596, 616, 635], \"label\": \"potato\"},\n {\"box_2d\": [734, 591, 835, 626], \"label\": \"potato\"},\n {\"box_2d\": [662, 552, 769, 593], \"label\": \"potato\"},\n {\"box_2d\": [866, 506, 948, 538], \"label\": \"potato\"},\n {\"box_2d\": [844, 462, 924, 493], \"label\": \"potato\"},\n {\"box_2d\": [920, 418, 1000, 453], \"label\": \"potato\"},\n {\"box_2d\": [751, 419, 828, 447], \"label\": \"potato\"},\n {\"box_2d\": [694, 466, 752, 490], \"label\": \"potato\"},\n {\"box_2d\": [586, 463, 678, 499], \"label\": \"potato\"},\n {\"box_2d\": [576, 508, 684, 551], \"label\": \"potato\"},\n {\"box_2d\": [472, 500, 576, 543], \"label\": \"potato\"},\n {\"box_2d\": [482, 552, 567, 586], \"label\": \"potato\"},\n {\"box_2d\": [368, 550, 484, 604], \"label\": \"potato\"},\n {\"box_2d\": [377, 601, 470, 638], \"label\": \"potato\"},\n {\"box_2d\": [291, 558, 365, 590], \"label\": \"potato\"},\n {\"box_2d\": [197, 552, 291, 592], \"label\": \"potato\"},\n {\"box_2d\": [73, 512, 145, 545], \"label\": \"potato\"},\n {\"box_2d\": [144, 514, 242, 546], \"label\": \"potato\"},\n {\"box_2d\": [254, 512, 361, 552], \"label\": \"potato\"},\n {\"box_2d\": [356, 511, 447, 545], \"label\": \"potato\"},\n {\"box_2d\": [153, 466, 267, 508], \"label\": \"potato\"},\n {\"box_2d\": [82, 472, 154, 501], \"label\": \"potato\"},\n {\"box_2d\": [104, 421, 199, 459], \"label\": \"potato\"},\n {\"box_2d\": [217, 408, 323, 459], \"label\": \"potato\"},\n {\"box_2d\": [266, 463, 365, 505], \"label\": \"potato\"},\n {\"box_2d\": [365, 463, 451, 502], \"label\": \"potato\"},\n {\"box_2d\": [457, 466, 543, 496], \"label\": \"potato\"},\n {\"box_2d\": [319, 427, 381, 454], \"label\": \"potato\"},\n {\"box_2d\": [399, 413, 509, 457], \"label\": \"potato\"},\n {\"box_2d\": [582, 415, 687, 454], \"label\": \"potato\"},\n {\"box_2d\": [757, 374, 840, 408], \"label\": \"potato\"},\n {\"box_2d\": [779, 330, 864, 369], \"label\": \"potato\"},\n {\"box_2d\": [691, 336, 760, 363], \"label\": \"potato\"},\n {\"box_2d\": [617, 334, 684, 363], \"label\": \"potato\"},\n {\"box_2d\": [585, 374, 668, 411], \"label\": \"potato\"},\n {\"box_2d\": [478, 375, 567, 409], \"label\": \"potato\"},\n {\"box_2d\": [398, 381, 482, 414], \"label\": \"potato\"},\n {\"box_2d\": [285, 374, 389, 412], \"label\": \"potato\"},\n {\"box_2d\": [231, 384, 286, 408], \"label\": \"potato\"},\n {\"box_2d\": [162, 384, 231, 415], \"label\": \"potato\"},\n {\"box_2d\": [134, 337, 217, 370], \"label\": \"potato\"},\n {\"box_2d\": [217, 341, 279, 365], \"label\": \"potato\"},\n {\"box_2d\": [117, 297, 181, 322], \"label\": \"potato\"},\n {\"box_2d\": [350, 285, 447, 329], \"label\": \"potato\"},\n {\"box_2d\": [341, 336, 436, 370], \"label\": \"potato\"},\n {\"box_2d\": [435, 337, 500, 363], \"label\": \"potato\"},\n {\"box_2d\": [447, 289, 533, 326], \"label\": \"potato\"},\n {\"box_2d\": [500, 328, 607, 372], \"label\": \"potato\"},\n {\"box_2d\": [550, 284, 648, 328], \"label\": \"potato\"},\n {\"box_2d\": [656, 289, 723, 315], \"label\": \"potato\"},\n {\"box_2d\": [721, 282, 834, 321], \"label\": \"potato\"},\n {\"box_2d\": [834, 288, 895, 314], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 2439, "elapsed_seconds": 45.60725729097612, "metadata": {"match_method": "map", "num_predictions": 72, "num_ground_truth": 72, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 46.3116}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 32, "image": "V000078_0_0_jpeg_jpg.rf.ea93b54e17810ab845506f60bf69b7dd.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [799, 95, 967, 952], \"label\": \"technical drawing table\"},\n {\"box_2d\": [163, 344, 211, 439], \"label\": \"surface roughness symbol\"},\n {\"box_2d\": [298, 434, 329, 480], \"label\": \"dimension annotation\"},\n {\"box_2d\": [339, 171, 369, 480], \"label\": \"dimension annotation\"},\n {\"box_2d\": [298, 239, 329, 433], \"label\": \"dimension annotation\"},\n {\"box_2d\": [346, 695, 381, 783], \"label\": \"dimension annotation\"},\n {\"box_2d\": [125, 657, 184, 711], \"label\": \"dimension annotation\"},\n {\"box_2d\": [153, 862, 205, 929], \"label\": \"dimension annotation\"},\n {\"box_2d\": [298, 491, 329, 563], \"label\": \"dimension annotation\"},\n {\"box_2d\": [339, 490, 369, 549], \"label\": \"dimension annotation\"},\n {\"box_2d\": [443, 502, 462, 600], \"label\": \"dimension annotation\"},\n {\"box_2d\": [468, 571, 554, 626], \"label\": \"dimension annotation\"},\n {\"box_2d\": [444, 237, 480, 297], \"label\": \"dimension annotation\"},\n {\"box_2d\": [444, 136, 488, 238], \"label\": \"dimension annotation\"},\n {\"box_2d\": [495, 128, 529, 162], \"label\": \"dimension annotation\"},\n {\"box_2d\": [501, 187, 584, 212], \"label\": \"dimension annotation\"},\n {\"box_2d\": [478, 300, 576, 330], \"label\": \"dimension annotation\"},\n {\"box_2d\": [278, 171, 321, 232], \"label\": \"dimension annotation\"}\n]\n```", "correct": false, "input_tokens": 1237, "output_tokens": 643, "elapsed_seconds": 9.115263334009796, "metadata": {"match_method": "map", "num_predictions": 18, "num_ground_truth": 18, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6712870597839355, "attempts": 1, "retries": 0, "total_seconds": 9.1326}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 33, "image": "1226_8_jpg.rf.ca0a21572938b5c31e601cfcbf119e1e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [21, 20, 117, 118], \"label\": \"black rook\"},\n {\"box_2d\": [0, 141, 95, 245], \"label\": \"black knight\"},\n {\"box_2d\": [36, 266, 134, 355], \"label\": \"black bishop\"},\n {\"box_2d\": [9, 404, 129, 491], \"label\": \"black king\"},\n {\"box_2d\": [8, 533, 127, 620], \"label\": \"black queen\"},\n {\"box_2d\": [19, 899, 115, 999], \"label\": \"black rook\"},\n {\"box_2d\": [140, 44, 214, 120], \"label\": \"black pawn\"},\n {\"box_2d\": [162, 651, 234, 723], \"label\": \"black pawn\"},\n {\"box_2d\": [168, 764, 240, 839], \"label\": \"black pawn\"},\n {\"box_2d\": [178, 913, 250, 996], \"label\": \"black pawn\"},\n {\"box_2d\": [280, 288, 352, 359], \"label\": \"black pawn\"},\n {\"box_2d\": [285, 399, 374, 488], \"label\": \"black bishop\"},\n {\"box_2d\": [425, 536, 496, 608], \"label\": \"black pawn\"},\n {\"box_2d\": [410, 894, 489, 1000], \"label\": \"black knight\"},\n {\"box_2d\": [523, 294, 594, 366], \"label\": \"white pawn\"},\n {\"box_2d\": [551, 759, 622, 834], \"label\": \"white pawn\"},\n {\"box_2d\": [641, 400, 714, 471], \"label\": \"white pawn\"},\n {\"box_2d\": [631, 641, 709, 744], \"label\": \"white knight\"},\n {\"box_2d\": [757, 57, 830, 133], \"label\": \"white pawn\"},\n {\"box_2d\": [767, 170, 840, 243], \"label\": \"white pawn\"},\n {\"box_2d\": [786, 641, 862, 713], \"label\": \"white pawn\"},\n {\"box_2d\": [773, 890, 847, 972], \"label\": \"white pawn\"},\n {\"box_2d\": [869, 40, 968, 134], \"label\": \"white rook\"},\n {\"box_2d\": [867, 132, 957, 239], \"label\": \"white knight\"},\n {\"box_2d\": [872, 282, 972, 373], \"label\": \"white bishop\"},\n {\"box_2d\": [866, 409, 987, 500], \"label\": \"white king\"},\n {\"box_2d\": [866, 532, 988, 621], \"label\": \"white queen\"},\n {\"box_2d\": [870, 653, 971, 744], \"label\": \"white bishop\"},\n {\"box_2d\": [880, 886, 977, 989], \"label\": \"white rook\"}\n]\n```", "correct": true, "input_tokens": 1259, "output_tokens": 1014, "elapsed_seconds": 14.694618334062397, "metadata": {"match_method": "map", "num_predictions": 29, "num_ground_truth": 29, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 14.9891}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 34, "image": "1218_18_jpg.rf.8c844a918f3bbbea9bc4a4e8bb703b7d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [32, 522, 130, 610], \"label\": \"black bishop\"},\n {\"box_2d\": [134, 8, 224, 105], \"label\": \"white rook\"},\n {\"box_2d\": [254, 255, 342, 348], \"label\": \"black knight\"},\n {\"box_2d\": [261, 632, 351, 717], \"label\": \"white knight\"},\n {\"box_2d\": [265, 876, 358, 999], \"label\": \"white queen\"},\n {\"box_2d\": [380, 6, 464, 118], \"label\": \"black queen\"},\n {\"box_2d\": [512, 1, 597, 118], \"label\": \"white king\"},\n {\"box_2d\": [516, 281, 602, 369], \"label\": \"white bishop\"},\n {\"box_2d\": [520, 524, 604, 609], \"label\": \"black king\"},\n {\"box_2d\": [537, 764, 604, 839], \"label\": \"white pawn\"},\n {\"box_2d\": [626, 391, 707, 478], \"label\": \"black knight\"},\n {\"box_2d\": [637, 523, 718, 602], \"label\": \"white rook\"},\n {\"box_2d\": [639, 882, 720, 991], \"label\": \"white knight\"},\n {\"box_2d\": [746, 141, 846, 243], \"label\": \"white queen\"},\n {\"box_2d\": [770, 643, 843, 714], \"label\": \"black pawn\"},\n {\"box_2d\": [765, 768, 853, 857], \"label\": \"black rook\"},\n {\"box_2d\": [888, 405, 969, 478], \"label\": \"white pawn\"},\n {\"box_2d\": [882, 761, 1000, 869], \"label\": \"black queen\"}\n]\n```", "correct": true, "input_tokens": 1259, "output_tokens": 636, "elapsed_seconds": 26.14577558392193, "metadata": {"match_method": "map", "num_predictions": 18, "num_ground_truth": 18, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 26.4223}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 35, "image": "42ba34_3_4_png_jpg.rf.963d6715a391a3a2fee3176cace44325.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [243, 491, 274, 497], \"label\": \"referee\"},\n {\"box_2d\": [283, 405, 315, 413], \"label\": \"player\"},\n {\"box_2d\": [301, 281, 336, 290], \"label\": \"player\"},\n {\"box_2d\": [294, 318, 329, 326], \"label\": \"player\"},\n {\"box_2d\": [293, 691, 333, 699], \"label\": \"player\"},\n {\"box_2d\": [332, 463, 372, 474], \"label\": \"player\"},\n {\"box_2d\": [357, 435, 397, 443], \"label\": \"player\"},\n {\"box_2d\": [401, 350, 447, 360], \"label\": \"referee\"},\n {\"box_2d\": [353, 586, 394, 595], \"label\": \"player\"},\n {\"box_2d\": [468, 676, 518, 688], \"label\": \"player\"},\n {\"box_2d\": [454, 722, 501, 735], \"label\": \"player\"},\n {\"box_2d\": [423, 803, 471, 813], \"label\": \"player\"},\n {\"box_2d\": [489, 563, 539, 575], \"label\": \"player\"},\n {\"box_2d\": [540, 583, 597, 596], \"label\": \"player\"},\n {\"box_2d\": [529, 606, 583, 619], \"label\": \"player\"},\n {\"box_2d\": [491, 265, 549, 276], \"label\": \"player\"},\n {\"box_2d\": [517, 282, 572, 294], \"label\": \"player\"},\n {\"box_2d\": [579, 235, 636, 249], \"label\": \"player\"},\n {\"box_2d\": [678, 152, 740, 171], \"label\": \"player\"},\n {\"box_2d\": [373, 0, 417, 11], \"label\": \"goalkeeper\"},\n {\"box_2d\": [353, 251, 391, 260], \"label\": \"player\"},\n {\"box_2d\": [352, 257, 393, 267], \"label\": \"player\"},\n {\"box_2d\": [350, 912, 389, 926], \"label\": \"goalkeeper\"},\n {\"box_2d\": [636, 956, 698, 978], \"label\": \"referee\"},\n {\"box_2d\": [773, 532, 848, 546], \"label\": \"referee\"}\n]\n```", "correct": false, "input_tokens": 1242, "output_tokens": 865, "elapsed_seconds": 16.637696958030574, "metadata": {"match_method": "map", "num_predictions": 25, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5981848239898682, "attempts": 1, "retries": 0, "total_seconds": 16.7686}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 36, "image": "170567v_JPG_jpg.rf.b4ec6b9d23ca24e31da874cd6f035dfa.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [567, 608, 697, 667], \"label\": \"cracked insulator\"},\n {\"box_2d\": [553, 574, 650, 632], \"label\": \"cracked insulator\"},\n {\"box_2d\": [540, 538, 670, 596], \"label\": \"cracked insulator\"},\n {\"box_2d\": [525, 505, 655, 563], \"label\": \"cracked insulator\"},\n {\"box_2d\": [501, 447, 611, 495], \"label\": \"cracked insulator\"},\n {\"box_2d\": [489, 405, 616, 461], \"label\": \"cracked insulator\"}\n]\n```", "correct": true, "input_tokens": 1244, "output_tokens": 228, "elapsed_seconds": 150.36639145901427, "metadata": {"match_method": "map", "num_predictions": 6, "num_ground_truth": 6, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 150.908}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 37, "image": "wood-log-detection_092_png_jpg.rf.b7bfbb1ba7a477ea02f5974fce28583e.jpg", "expected": "", "predicted": "```json\n[{\"box_2d\": [770, 261, 845, 319], \"label\": \"log cross-section\"}, {\"box_2d\": [831, 297, 908, 362], \"label\": \"log cross-section\"}, {\"box_2d\": [852, 362, 908, 405], \"label\": \"log cross-section\"}, {\"box_2d\": [838, 400, 898, 439], \"label\": \"log cross-section\"}, {\"box_2d\": [828, 466, 914, 528], \"label\": \"log cross-section\"}, {\"box_2d\": [870, 434, 906, 456], \"label\": \"log cross-section\"}, {\"box_2d\": [864, 453, 914, 480], \"label\": \"log cross-section\"}, {\"box_2d\": [850, 556, 914, 603], \"label\": \"log cross-section\"}, {\"box_2d\": [833, 597, 891, 642], \"label\": \"log cross-section\"}, {\"box_2d\": [805, 628, 869, 670], \"label\": \"log cross-section\"}, {\"box_2d\": [861, 647, 894, 677], \"label\": \"log cross-section\"}, {\"box_2d\": [878, 628, 916, 656], \"label\": \"log cross-section\"}, {\"box_2d\": [845, 264, 894, 300], \"label\": \"log cross-section\"}, {\"box_2d\": [712, 311, 777, 366], \"label\": \"log cross-section\"}, {\"box_2d\": [684, 266, 750, 317], \"label\": \"log cross-section\"}, {\"box_2d\": [647, 273, 688, 306], \"label\": \"log cross-section\"}, {\"box_2d\": [642, 308, 709, 366], \"label\": \"log cross-section\"}, {\"box_2d\": [589, 273, 653, 325], \"label\": \"log cross-section\"}, {\"box_2d\": [588, 320, 645, 369], \"label\": \"log cross-section\"}, {\"box_2d\": [578, 369, 647, 427], \"label\": \"log cross-section\"}, {\"box_2d\": [536, 334, 595, 383], \"label\": \"log cross-section\"}, {\"box_2d\": [505, 370, 577, 425], \"label\": \"log cross-section\"}, {\"box_2d\": [494, 266, 567, 325], \"label\": \"log cross-section\"}, {\"box_2d\": [506, 323, 550, 375], \"label\": \"log cross-section\"}, {\"box_2d\": [553, 261, 598, 297], \"label\": \"log cross-section\"}, {\"box_2d\": [528, 419, 588, 459], \"label\": \"log cross-section\"}, {\"box_2d\": [425, 272, 492, 327], \"label\": \"log cross-section\"}, {\"box_2d\": [392, 308, 444, 355], \"label\": \"log cross-section\"}, {\"box_2d\": [364, 350, 416, 391], \"label\": \"log cross-section\"}, {\"box_2d\": [347, 264, 398, 308], \"label\": \"log cross-section\"}, {\"box_2d\": [270, 312, 344, 381], \"label\": \"log cross-section\"}, {\"box_2d\": [298, 262, 348, 309], \"label\": \"log cross-section\"}, {\"box_2d\": [233, 258, 303, 312], \"label\": \"log cross-section\"}, {\"box_2d\": [155, 258, 236, 319], \"label\": \"log cross-section\"}, {\"box_2d\": [109, 278, 158, 322], \"label\": \"log cross-section\"}, {\"box_2d\": [98, 319, 144, 358], \"label\": \"log cross-section\"}, {\"box_2d\": [34, 336, 98, 389], \"label\": \"log cross-section\"}, {\"box_2d\": [92, 383, 141, 423], \"label\": \"log cross-section\"}, {\"box_2d\": [141, 350, 211, 405], \"label\": \"log cross-section\"}, {\"box_2d\": [211, 309, 272, 362], \"label\": \"log cross-section\"}, {\"box_2d\": [228, 361, 286, 409], \"label\": \"log cross-section\"}, {\"box_2d\": [273, 395, 323, 434], \"label\": \"log cross-section\"}, {\"box_2d\": [330, 386, 384, 425], \"label\": \"log cross-section\"}, {\"box_2d\": [394, 380, 448, 422], \"label\": \"log cross-section\"}, {\"box_2d\": [411, 352, 452, 383], \"label\": \"log cross-section\"}, {\"box_2d\": [445, 367, 492, 408], \"label\": \"log cross-section\"}, {\"box_2d\": [425, 406, 473, 447], \"label\": \"log cross-section\"}, {\"box_2d\": [472, 403, 522, 444], \"label\": \"log cross-section\"}, {\"box_2d\": [423, 445, 483, 494], \"label\": \"log cross-section\"}, {\"box_2d\": [483, 447, 548, 505], \"label\": \"log cross-section\"}, {\"box_2d\": [548, 447, 622, 505], \"label\": \"log cross-section\"}, {\"box_2d\": [612, 428, 653, 464], \"label\": \"log cross-section\"}, {\"box_2d\": [641, 362, 698, 409], \"label\": \"log cross-section\"}, {\"box_2d\": [695, 362, 759, 409], \"label\": \"log cross-section\"}, {\"box_2d\": [672, 395, 725, 436], \"label\": \"log cross-section\"}, {\"box_2d\": [691, 427, 744, 464], \"label\": \"log cross-section\"}, {\"box_2d\": [739, 389, 805, 439], \"label\": \"log cross-section\"}, {\"box_2d\": [786, 358, 844, 403], \"label\": \"log cross-section\"}, {\"box_2d\": [755, 355, 792, 384], \"label\": \"log cross-section\"}, {\"box_2d\": [775, 323, 816, 358], \"label\": \"log cross-section\"}, {\"box_2d\": [680, 462, 767, 533], \"label\": \"log cross-section\"}, {\"box_2d\": [762, 470, 831, 528], \"label\": \"log cross-section\"}, {\"box_2d\": [645, 444, 697, 483], \"label\": \"log cross-section\"}, {\"box_2d\": [614, 456, 653, 492], \"label\": \"log cross-section\"}, {\"box_2d\": [562, 502, 622, 552], \"label\": \"log cross-section\"}, {\"box_2d\": [509, 500, 561, 539], \"label\": \"log cross-section\"}, {\"box_2d\": [508, 536, 581, 588], \"label\": \"log cross-section\"}, {\"box_2d\": [423, 494, 481, 541], \"label\": \"log cross-section\"}, {\"box_2d\": [391, 475, 439, 514], \"label\": \"log cross-section\"}, {\"box_2d\": [377, 430, 433, 475], \"label\": \"log cross-section\"}, {\"box_2d\": [319, 459, 392, 514], \"label\": \"log cross-section\"}, {\"box_2d\": [330, 422, 375, 455], \"label\": \"log cross-section\"}, {\"box_2d\": [272, 430, 334, 475], \"label\": \"log cross-section\"}, {\"box_2d\": [231, 450, 286, 492], \"label\": \"log cross-section\"}, {\"box_2d\": [219, 420, 278, 455], \"label\": \"log cross-section\"}, {\"box_2d\": [150, 433, 212, 477], \"label\": \"log cross-section\"}, {\"box_2d\": [100, 466, 148, 500], \"label\": \"log cross-section\"}, {\"box_2d\": [70, 530, 147, 586], \"label\": \"log cross-section\"}, {\"box_2d\": [150, 530, 217, 584], \"label\": \"log cross-section\"}, {\"box_2d\": [138, 497, 189, 539], \"label\": \"log cross-section\"}, {\"box_2d\": [184, 494, 234, 534], \"label\": \"log cross-section\"}, {\"box_2d\": [231, 489, 272, 522], \"label\": \"log cross-section\"}, {\"box_2d\": [269, 488, 320, 530], \"label\": \"log cross-section\"}, {\"box_2d\": [209, 519, 258, 555], \"label\": \"log cross-section\"}, {\"box_2d\": [211, 555, 275, 606], \"label\": \"log cross-section\"}, {\"box_2d\": [172, 581, 222, 622], \"label\": \"log cross-section\"}, {\"box_2d\": [114, 583, 169, 623], \"label\": \"log cross-section\"}, {\"box_2d\": [83, 625, 130, 661], \"label\": \"log cross-section\"}, {\"box_2d\": [114, 645, 167, 688], \"label\": \"log cross-section\"}, {\"box_2d\": [161, 630, 228, 681], \"label\": \"log cross-section\"}, {\"box_2d\": [138, 677, 225, 742], \"label\": \"log cross-section\"}, {\"box_2d\": [162, 741, 205, 777], \"label\": \"log cross-section\"}, {\"box_2d\": [161, 773, 211, 812], \"label\": \"log cross-section\"}, {\"box_2d\": [164, 806, 228, 852], \"label\": \"log cross-section\"}, {\"box_2d\": [220, 822, 270, 862], \"label\": \"log cross-section\"}, {\"box_2d\": [244, 638, 314, 695], \"label\": \"log cross-section\"}, {\"box_2d\": [222, 602, 281, 647], \"label\": \"log cross-section\"}, {\"box_2d\": [269, 567, 336, 623], \"label\": \"log cross-section\"}, {\"box_2d\": [308, 680, 380, 733], \"label\": \"log cross-section\"}, {\"box_2d\": [320, 730, 380, 773], \"label\": \"log cross-section\"}, {\"box_2d\": [297, 773, 358, 838], \"label\": \"log cross-section\"}, {\"box_2d\": [356, 761, 427, 822], \"label\": \"log cross-section\"}, {\"box_2d\": [367, 716, 420, 756], \"label\": \"log cross-section\"}, {\"box_2d\": [377, 680, 427, 722], \"label\": \"log cross-section\"}, {\"box_2d\": [389, 636, 445, 686], \"label\": \"log cross-section\"}, {\"box_2d\": [391, 555, 450, 605], \"label\": \"log cross-section\"}, {\"box_2d\": [387, 520, 439, 559], \"label\": \"log cross-section\"}, {\"box_2d\": [419, 691, 472, 738], \"label\": \"log cross-section\"}, {\"box_2d\": [466, 742, 536, 800], \"label\": \"log cross-section\"}, {\"box_2d\": [506, 706, 570, 767], \"label\": \"log cross-section\"}, {\"box_2d\": [503, 627, 562, 677], \"label\": \"log cross-section\"}, {\"box_2d\": [489, 577, 545, 623], \"label\": \"log cross-section\"}, {\"box_2d\": [573, 566, 639, 622], \"label\": \"log cross-section\"}, {\"box_2d\": [603, 533, 658, 575], \"label\": \"log cross-section\"}, {\"box_2d\": [645, 512, 703, 559], \"label\": \"log cross-section\"}, {\"box_2d\": [694, 533, 762, 589], \"label\": \"log cross-section\"}, {\"box_2d\": [731, 578, 827, 648], \"label\": \"log cross-section\"}, {\"box_2d\": [761, 523, 812, 562], \"label\": \"log cross-section\"}, {\"box_2d\": [808, 519, 856, 556], \"label\": \"log cross-section\"}, {\"box_2d\": [797, 661, 869, 714], \"label\": \"log cross-section\"}, {\"box_2d\": [738, 725, 814, 791], \"label\": \"log cross-section\"}, {\"box_2d\": [750, 689, 805, 728], \"label\": \"log cross-section\"}, {\"box_2d\": [750, 647, 808, 691], \"label\": \"log cross-section\"}, {\"box_2d\": [711, 670, 762, 711], \"label\": \"log cross-section\"}, {\"box_2d\": [705, 625, 756, 666], \"label\": \"log cross-section\"}, {\"box_2d\": [673, 583, 728, 627], \"label\": \"log cross-section\"}, {\"box_2d\": [633, 741, 708, 806], \"label\": \"log cross-section\"}, {\"box_2d\": [575, 773, 636, 834], \"label\": \"log cross-section\"}, {\"box_2d\": [577, 730, 641, 783], \"label\": \"log cross-section\"}, {\"box_2d\": [556, 697, 612, 741], \"label\": \"log cross-section\"}, {\"box_2d\": [605, 616, 667, 666], \"label\": \"log cross-section\"}, {\"box_2d\": [686, 727, 738, 770], \"label\": \"log cross-section\"}, {\"box_2d\": [642, 695, 698, 742], \"label\": \"log cross-section\"}, {\"box_2d\": [659, 619, 709, 661], \"label\": \"log cross-section\"}, {\"box_2d\": [677, 655, 725, 692], \"label\": \"log cross-section\"}, {\"box_2d\": [531, 764, 577, 819], \"label\": \"log cross-section\"}, {\"box_2d\": [481, 664, 536, 708], \"label\": \"log cross-section\"}, {\"box_2d\": [436, 633, 478, 667], \"label\": \"log cross-section\"}, {\"box_2d\": [409, 602, 456, 639], \"label\": \"log cross-section\"}, {\"box_2d\": [447, 575, 492, 609], \"label\": \"log cross-section\"}, {\"box_2d\": [464, 605, 506, 641], \"label\": \"log cross-section\"}, {\"box_2d\": [439, 725, 480, 758], \"label\": \"log cross-section\"}, {\"box_2d\": [309, 616, 362, 658], \"label\": \"log cross-section\"}, {\"box_2d\": [256, 761, 308, 817], \"label\": \"log cross-section\"}, {\"box_2d\": [198, 734, 261, 789], \"label\": \"log cross-section\"}, {\"box_2d\": [125, 214, 180, 266], \"label\": \"log cross-section\"}, {\"box_2d\": [823, 758, 884, 820], \"label\": \"log cross-section\"}, {\"box_2d\": [603, 680, 653, 727], \"label\": \"log cross-section\"}, {\"box_2d\": [558, 639, 611, 691], \"label\": \"log cross-section\"}]```", "correct": false, "input_tokens": 1228, "output_tokens": 5217, "elapsed_seconds": 47.79308533295989, "metadata": {"match_method": "map", "num_predictions": 149, "num_ground_truth": 206, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.40514615178108215, "attempts": 1, "retries": 0, "total_seconds": 47.8193}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 38, "image": "DJI_20230529111632_0087_T_JPG_jpg.rf.a0bcf6f9fb3a8158bd511491a1f333d9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [644, 475, 659, 488], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [534, 594, 550, 608], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [630, 681, 645, 694], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [523, 758, 539, 770], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [266, 845, 281, 856], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [261, 886, 280, 898], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [258, 967, 272, 980], \"label\": \"solar panel hot spot\"}\n]\n```", "correct": false, "input_tokens": 1228, "output_tokens": 271, "elapsed_seconds": 7.155639333999716, "metadata": {"match_method": "map", "num_predictions": 7, "num_ground_truth": 9, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7722772359848022, "attempts": 1, "retries": 0, "total_seconds": 7.1781}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 39, "image": "IMG_20260128_081648_jpg.rf.195a895d6fe7552e4b9d0fc4e44e0f46.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [618, 76, 725, 151], \"label\": \"white standard price tag\"},\n {\"box_2d\": [619, 151, 725, 236], \"label\": \"white standard price tag\"},\n {\"box_2d\": [623, 235, 725, 290], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [624, 290, 725, 372], \"label\": \"white standard price tag\"},\n {\"box_2d\": [624, 372, 726, 419], \"label\": \"white standard price tag\"},\n {\"box_2d\": [623, 418, 727, 492], \"label\": \"white standard price tag\"},\n {\"box_2d\": [622, 492, 728, 569], \"label\": \"white standard price tag\"},\n {\"box_2d\": [622, 568, 729, 642], \"label\": \"white standard price tag\"},\n {\"box_2d\": [618, 637, 949, 735], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [618, 714, 949, 804], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [628, 855, 731, 932], \"label\": \"white standard price tag\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 418, "elapsed_seconds": 161.0838281250326, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 161.5515}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 40, "image": "m4_tire_2024-10-17_18_png_jpg.rf.b3da826931757f1612878ecf9680a260.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [92, 300, 179, 513], \"label\": \"tire size text\"}\n]\n```", "correct": false, "input_tokens": 1226, "output_tokens": 47, "elapsed_seconds": 153.11694808292668, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3366336226463318, "attempts": 1, "retries": 0, "total_seconds": 153.4938}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 41, "image": "IMG_3864_JPG.rf.85dd012a4824e9d1050c085dd0a2e519.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [560, 41, 648, 168], \"label\": \"10000 poker chip\"},\n {\"box_2d\": [468, 98, 545, 217], \"label\": \"500 poker chip\"},\n {\"box_2d\": [351, 224, 419, 333], \"label\": \"100 poker chip\"},\n {\"box_2d\": [607, 131, 701, 263], \"label\": \"500 poker chip\"},\n {\"box_2d\": [522, 218, 607, 343], \"label\": \"500 poker chip\"},\n {\"box_2d\": [431, 286, 506, 403], \"label\": \"500 poker chip\"},\n {\"box_2d\": [361, 398, 429, 506], \"label\": \"500 poker chip\"},\n {\"box_2d\": [430, 402, 504, 516], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [518, 399, 603, 523], \"label\": \"500 poker chip\"},\n {\"box_2d\": [576, 300, 667, 430], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [661, 240, 765, 378], \"label\": \"500 poker chip\"},\n {\"box_2d\": [600, 422, 697, 553], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [529, 526, 617, 654], \"label\": \"500 poker chip\"},\n {\"box_2d\": [441, 513, 518, 631], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [406, 612, 479, 728], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [447, 709, 526, 832], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [515, 651, 601, 779], \"label\": \"500 poker chip\"},\n {\"box_2d\": [674, 498, 783, 639], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [674, 638, 782, 780], \"label\": \"500 poker chip\"},\n {\"box_2d\": [593, 709, 690, 845], \"label\": \"100 poker chip\"},\n {\"box_2d\": [513, 780, 602, 913], \"label\": \"100 poker chip\"},\n {\"box_2d\": [425, 821, 504, 944], \"label\": \"100 poker chip\"},\n {\"box_2d\": [685, 799, 795, 946], \"label\": \"1000 poker chip\"}\n]\n```", "correct": true, "input_tokens": 1229, "output_tokens": 894, "elapsed_seconds": 164.57852658291813, "metadata": {"match_method": "map", "num_predictions": 23, "num_ground_truth": 24, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9702969789505005, "attempts": 1, "retries": 0, "total_seconds": 165.4169}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 42, "image": "1217_2_jpg.rf.e0a2a15bcd44d66668e689fd59ca61fe.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [765, 162, 855, 250], \"label\": \"black bishop\"},\n {\"box_2d\": [410, 26, 482, 108], \"label\": \"white pawn\"},\n {\"box_2d\": [880, 398, 974, 480], \"label\": \"black rook\"},\n {\"box_2d\": [746, 745, 855, 854], \"label\": \"black king\"},\n {\"box_2d\": [168, 17, 241, 98], \"label\": \"black pawn\"},\n {\"box_2d\": [650, 876, 720, 954], \"label\": \"white pawn\"},\n {\"box_2d\": [404, 297, 476, 370], \"label\": \"white pawn\"},\n {\"box_2d\": [283, 385, 358, 456], \"label\": \"black pawn\"},\n {\"box_2d\": [0, 399, 125, 488], \"label\": \"white queen\"},\n {\"box_2d\": [546, 1, 626, 115], \"label\": \"black knight\"},\n {\"box_2d\": [649, 631, 740, 723], \"label\": \"white queen\"},\n {\"box_2d\": [149, 646, 224, 720], \"label\": \"white pawn\"},\n {\"box_2d\": [512, 121, 598, 232], \"label\": \"black queen\"},\n {\"box_2d\": [178, 764, 254, 839], \"label\": \"white pawn\"},\n {\"box_2d\": [395, 638, 477, 732], \"label\": \"white knight\"},\n {\"box_2d\": [781, 397, 855, 468], \"label\": \"black pawn\"},\n {\"box_2d\": [516, 398, 597, 479], \"label\": \"white rook\"},\n {\"box_2d\": [1, 509, 129, 600], \"label\": \"white king\"},\n {\"box_2d\": [284, 152, 357, 230], \"label\": \"white pawn\"},\n {\"box_2d\": [887, 882, 999, 996], \"label\": \"black queen\"},\n {\"box_2d\": [308, 868, 382, 950], \"label\": \"black pawn\"},\n {\"box_2d\": [525, 276, 597, 348], \"label\": \"black pawn\"},\n {\"box_2d\": [1, 910, 84, 992], \"label\": \"black pawn\"},\n {\"box_2d\": [269, 625, 362, 717], \"label\": \"white bishop\"},\n {\"box_2d\": [384, 507, 474, 596], \"label\": \"black bishop\"},\n {\"box_2d\": [432, 902, 502, 980], \"label\": \"white pawn\"},\n {\"box_2d\": [898, 0, 995, 114], \"label\": \"white knight\"},\n {\"box_2d\": [760, 17, 845, 116], \"label\": \"white rook\"},\n {\"box_2d\": [423, 766, 503, 871], \"label\": \"black knight\"},\n {\"box_2d\": [899, 642, 993, 725], \"label\": \"black rook\"},\n {\"box_2d\": [558, 609, 631, 681], \"label\": \"white pawn\"},\n {\"box_2d\": [25, 139, 126, 236], \"label\": \"white bishop\"}\n]\n```", "correct": true, "input_tokens": 1259, "output_tokens": 1116, "elapsed_seconds": 111.77063325000927, "metadata": {"match_method": "map", "num_predictions": 32, "num_ground_truth": 32, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 112.056}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 43, "image": "fabric-defect_904_jpg.rf.1cf391ad7827c3f000e3c8ea35472e5d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [401, 459, 511, 526], \"label\": \"fabric cut\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 47, "elapsed_seconds": 2.8665577500360087, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 2.8908}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 44, "image": "20210325_204058_jpg.rf.29e7808c087a71e473dd9c19badaff2c.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [702, 439, 912, 650], \"label\": \"1 euro coin\"},\n {\"box_2d\": [562, 689, 742, 875], \"label\": \"10 euro cent coin\"},\n {\"box_2d\": [498, 509, 645, 658], \"label\": \"1 euro cent coin\"},\n {\"box_2d\": [366, 644, 534, 816], \"label\": \"2 euro cent coin\"},\n {\"box_2d\": [148, 430, 366, 645], \"label\": \"50 euro cent coin\"},\n {\"box_2d\": [258, 62, 444, 247], \"label\": \"5 euro cent coin\"},\n {\"box_2d\": [347, 267, 577, 498], \"label\": \"2 euro coin\"},\n {\"box_2d\": [605, 150, 806, 353], \"label\": \"20 euro cent coin\"}\n]\n```", "correct": true, "input_tokens": 1272, "output_tokens": 308, "elapsed_seconds": 57.45690479199402, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 57.4876}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 45, "image": "9999942_00000_d_0000135_jpg.rf.52553444f2adb8d7ba245527bc1de4b5.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [525, 10, 569, 76], \"label\": \"van\"},\n {\"box_2d\": [691, 103, 793, 159], \"label\": \"car\"},\n {\"box_2d\": [812, 136, 929, 184], \"label\": \"car\"},\n {\"box_2d\": [568, 372, 634, 449], \"label\": \"car\"},\n {\"box_2d\": [546, 535, 591, 604], \"label\": \"van\"},\n {\"box_2d\": [607, 519, 650, 591], \"label\": \"car\"},\n {\"box_2d\": [606, 672, 646, 721], \"label\": \"car\"},\n {\"box_2d\": [387, 150, 434, 184], \"label\": \"car\"},\n {\"box_2d\": [320, 174, 379, 207], \"label\": \"car\"},\n {\"box_2d\": [238, 129, 294, 181], \"label\": \"car\"},\n {\"box_2d\": [191, 269, 258, 303], \"label\": \"car\"},\n {\"box_2d\": [92, 281, 170, 316], \"label\": \"van\"},\n {\"box_2d\": [133, 394, 198, 421], \"label\": \"car\"},\n {\"box_2d\": [238, 374, 336, 415], \"label\": \"truck\"},\n {\"box_2d\": [28, 296, 92, 323], \"label\": \"car\"},\n {\"box_2d\": [46, 239, 101, 267], \"label\": \"car\"},\n {\"box_2d\": [126, 169, 165, 229], \"label\": \"car\"},\n {\"box_2d\": [159, 167, 193, 211], \"label\": \"car\"},\n {\"box_2d\": [95, 173, 130, 230], \"label\": \"car\"},\n {\"box_2d\": [0, 191, 35, 256], \"label\": \"van\"},\n {\"box_2d\": [0, 307, 25, 333], \"label\": \"car\"},\n {\"box_2d\": [0, 381, 41, 403], \"label\": \"van\"},\n {\"box_2d\": [21, 406, 78, 431], \"label\": \"car\"},\n {\"box_2d\": [530, 272, 550, 294], \"label\": \"person\"},\n {\"box_2d\": [478, 450, 496, 461], \"label\": \"person\"},\n {\"box_2d\": [472, 464, 491, 474], \"label\": \"person\"},\n {\"box_2d\": [485, 471, 504, 481], \"label\": \"person\"},\n {\"box_2d\": [112, 246, 138, 261], \"label\": \"person\"},\n {\"box_2d\": [110, 351, 141, 362], \"label\": \"person\"},\n {\"box_2d\": [469, 84, 490, 101], \"label\": \"person\"}\n]\n```", "correct": false, "input_tokens": 1215, "output_tokens": 1013, "elapsed_seconds": 48.016457958030514, "metadata": {"match_method": "map", "num_predictions": 30, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.2892768681049347, "attempts": 1, "retries": 0, "total_seconds": 48.125}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 46, "image": "tire_2024-09-25_27_png_jpg.rf.86e579b04ca3a3e9f7a480c31239539e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [77, 272, 163, 471], \"label\": \"tire size text\"},\n {\"box_2d\": [892, 470, 954, 678], \"label\": \"tire size text\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 83, "elapsed_seconds": 112.4963609999977, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6633663177490234, "attempts": 1, "retries": 0, "total_seconds": 113.0058}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 47, "image": "Container-144_jpg.rf.4f556fc57071dc9d870c03989b923d26.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [248, 556, 276, 737], \"label\": \"shipping container number\"},\n {\"box_2d\": [283, 558, 307, 608], \"label\": \"container ISO type code\"}\n]\n```", "correct": true, "input_tokens": 1232, "output_tokens": 85, "elapsed_seconds": 15.460732374922372, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 15.4764}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 48, "image": "frame_0151_jpg.rf.6c7fef6c392aec746239d36e4257e862.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [779, 580, 847, 621], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [468, 673, 535, 709], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [349, 648, 405, 681], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [416, 569, 484, 608], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [264, 526, 319, 579], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [167, 530, 236, 566], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [16, 550, 77, 583], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 610, 56, 636], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 513, 55, 546], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [116, 427, 173, 459], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [199, 443, 258, 474], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [275, 444, 348, 485], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [492, 466, 557, 501], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [641, 369, 711, 417], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [579, 365, 646, 406], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [338, 333, 408, 372], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [216, 340, 281, 376], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [111, 335, 171, 370], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [17, 440, 55, 468], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [5, 414, 51, 444], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [5, 381, 47, 409], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 348, 48, 381], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 251, 44, 284], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [121, 237, 206, 280], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [293, 248, 355, 286], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [497, 253, 571, 297], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [469, 206, 529, 244], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [721, 236, 799, 281], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [895, 238, 962, 288], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [788, 68, 875, 130], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [610, 86, 711, 136], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [427, 83, 499, 139], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [301, 113, 377, 174], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [132, 128, 195, 171], \"label\": \"garlic on conveyor\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 1211, "elapsed_seconds": 18.254433708963916, "metadata": {"match_method": "map", "num_predictions": 34, "num_ground_truth": 27, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8790202736854553, "attempts": 1, "retries": 0, "total_seconds": 18.3927}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 49, "image": "4106884_ContLeftUpper_f_jpg.rf.92488d92926163302f246be3b53efb13.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [524, 300, 560, 323], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [529, 378, 565, 402], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [517, 224, 561, 245], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [518, 146, 558, 166], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [518, 67, 556, 87], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [417, 302, 444, 322], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [423, 379, 446, 400], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [412, 224, 444, 243], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [428, 459, 449, 479], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [238, 495, 259, 514], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [237, 417, 257, 439], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [235, 339, 255, 360], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [233, 259, 256, 283], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [233, 181, 255, 203], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [233, 102, 253, 124], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [230, 24, 253, 47], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [243, 574, 259, 594], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [531, 459, 556, 480], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [535, 616, 551, 637], \"label\": \"shipping container wall dent\"}\n]\n```", "correct": false, "input_tokens": 1219, "output_tokens": 711, "elapsed_seconds": 28.432633458054624, "metadata": {"match_method": "map", "num_predictions": 19, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.08085808902978897, "attempts": 1, "retries": 0, "total_seconds": 28.5912}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 50, "image": "img_459031286691397716_png.rf.6de9abc735878b2b2cc1f1fa95486a5f.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [7, 297, 134, 431], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [11, 545, 138, 678], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [39, 163, 177, 304], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [49, 421, 173, 558], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [48, 667, 181, 807], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [98, 286, 224, 428], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [99, 542, 222, 682], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [128, 146, 261, 293], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [134, 412, 255, 557], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [136, 669, 270, 817], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [188, 274, 316, 422], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [189, 540, 315, 687], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [222, 127, 360, 283], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [228, 407, 355, 557], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [231, 675, 366, 829], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [283, 257, 417, 413], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [287, 537, 421, 691], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [324, 102, 463, 270], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [332, 394, 462, 549], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [334, 679, 469, 841], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [392, 241, 527, 407], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [398, 537, 531, 698], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [437, 79, 577, 259], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [445, 392, 578, 553], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [447, 681, 581, 855], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [512, 224, 648, 396], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [518, 533, 651, 701], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [561, 47, 697, 242], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [568, 375, 703, 545], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [574, 686, 709, 868], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [648, 207, 786, 389], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [650, 534, 788, 711], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [696, 17, 839, 225], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [705, 369, 845, 550], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [711, 697, 849, 888], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [788, 180, 943, 375], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [791, 532, 944, 718], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [841, 0, 1000, 198], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [847, 355, 1000, 546], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [852, 707, 1000, 913], \"label\": \"empty portable gas cylinder\"}\n]\n```", "correct": true, "input_tokens": 1203, "output_tokens": 1482, "elapsed_seconds": 36.12826166593004, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 40, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 36.2424}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 51, "image": "1668147211__jpg.rf.0ee3d637cd990a070a8c1bcc234c9d5a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [54, 650, 108, 678], \"label\": \"six die\"},\n {\"box_2d\": [88, 674, 150, 707], \"label\": \"three die\"},\n {\"box_2d\": [151, 770, 204, 801], \"label\": \"two die\"},\n {\"box_2d\": [283, 740, 336, 769], \"label\": \"three die\"},\n {\"box_2d\": [291, 870, 339, 901], \"label\": \"five die\"},\n {\"box_2d\": [430, 809, 475, 835], \"label\": \"two die\"},\n {\"box_2d\": [504, 801, 560, 833], \"label\": \"four die\"},\n {\"box_2d\": [585, 798, 634, 827], \"label\": \"two die\"},\n {\"box_2d\": [654, 800, 709, 832], \"label\": \"two die\"},\n {\"box_2d\": [652, 832, 699, 862], \"label\": \"two die\"},\n {\"box_2d\": [602, 838, 646, 867], \"label\": \"one die\"},\n {\"box_2d\": [602, 879, 657, 912], \"label\": \"two die\"},\n {\"box_2d\": [503, 842, 561, 874], \"label\": \"five die\"},\n {\"box_2d\": [478, 863, 533, 894], \"label\": \"one die\"},\n {\"box_2d\": [178, 456, 229, 484], \"label\": \"one die\"},\n {\"box_2d\": [244, 458, 302, 491], \"label\": \"four die\"},\n {\"box_2d\": [239, 491, 294, 521], \"label\": \"three die\"},\n {\"box_2d\": [349, 556, 409, 588], \"label\": \"six die\"},\n {\"box_2d\": [354, 448, 411, 478], \"label\": \"two die\"},\n {\"box_2d\": [393, 419, 439, 443], \"label\": \"five die\"},\n {\"box_2d\": [332, 371, 381, 398], \"label\": \"six die\"},\n {\"box_2d\": [274, 402, 321, 426], \"label\": \"one die\"},\n {\"box_2d\": [245, 372, 304, 403], \"label\": \"two die\"},\n {\"box_2d\": [191, 366, 249, 399], \"label\": \"three die\"},\n {\"box_2d\": [228, 341, 283, 371], \"label\": \"five die\"},\n {\"box_2d\": [220, 296, 270, 325], \"label\": \"two die\"},\n {\"box_2d\": [108, 243, 162, 272], \"label\": \"three die\"},\n {\"box_2d\": [155, 255, 211, 286], \"label\": \"four die\"},\n {\"box_2d\": [252, 239, 302, 267], \"label\": \"three die\"},\n {\"box_2d\": [211, 219, 266, 252], \"label\": \"one die\"},\n {\"box_2d\": [256, 195, 314, 227], \"label\": \"four die\"},\n {\"box_2d\": [375, 194, 417, 220], \"label\": \"three die\"},\n {\"box_2d\": [434, 200, 487, 228], \"label\": \"five die\"},\n {\"box_2d\": [531, 305, 581, 335], \"label\": \"one die\"},\n {\"box_2d\": [621, 310, 672, 338], \"label\": \"one die\"},\n {\"box_2d\": [622, 177, 671, 205], \"label\": \"six die\"},\n {\"box_2d\": [639, 209, 695, 242], \"label\": \"four die\"},\n {\"box_2d\": [654, 28, 699, 57], \"label\": \"six die\"},\n {\"box_2d\": [757, 222, 816, 255], \"label\": \"five die\"},\n {\"box_2d\": [888, 113, 940, 141], \"label\": \"one die\"},\n {\"box_2d\": [603, 379, 657, 410], \"label\": \"three die\"},\n {\"box_2d\": [654, 398, 701, 425], \"label\": \"six die\"},\n {\"box_2d\": [581, 416, 629, 444], \"label\": \"four die\"},\n {\"box_2d\": [685, 426, 738, 456], \"label\": \"four die\"},\n {\"box_2d\": [664, 451, 713, 478], \"label\": \"three die\"},\n {\"box_2d\": [621, 508, 663, 533], \"label\": \"one die\"},\n {\"box_2d\": [659, 526, 710, 554], \"label\": \"four die\"},\n {\"box_2d\": [779, 472, 828, 500], \"label\": \"three die\"},\n {\"box_2d\": [778, 537, 830, 563], \"label\": \"one die\"},\n {\"box_2d\": [855, 580, 907, 609], \"label\": \"two die\"},\n {\"box_2d\": [694, 617, 749, 648], \"label\": \"three die\"}\n]\n```", "correct": true, "input_tokens": 1252, "output_tokens": 1793, "elapsed_seconds": 16.834391374955885, "metadata": {"match_method": "map", "num_predictions": 51, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8290252089500427, "attempts": 1, "retries": 0, "total_seconds": 16.8906}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 52, "image": "3533container_jpg.rf.12bfe57075507c019cfd5dc24dd08b40.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [504, 151, 560, 179], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [393, 240, 456, 263], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [377, 323, 443, 344], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [617, 405, 657, 434], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [623, 483, 661, 505], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [628, 322, 666, 343], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [686, 355, 711, 388], \"label\": \"shipping container wall dent\"}\n]\n```", "correct": false, "input_tokens": 1219, "output_tokens": 271, "elapsed_seconds": 63.77247041708324, "metadata": {"match_method": "map", "num_predictions": 7, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0891088992357254, "attempts": 1, "retries": 0, "total_seconds": 63.8941}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 53, "image": "DJI_20230529095121_0346_T_JPG_jpg.rf.a2baa2ffdce5ec84e5f5d22342f6b310.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [708, 505, 725, 517], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [703, 466, 722, 480], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [712, 591, 727, 603], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [319, 305, 333, 317], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [461, 916, 475, 931], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [828, 861, 845, 875], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [831, 902, 847, 917], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [327, 428, 339, 439], \"label\": \"solar panel hot spot\"}\n]\n```", "correct": true, "input_tokens": 1228, "output_tokens": 308, "elapsed_seconds": 5.5755318340379745, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8712871074676514, "attempts": 1, "retries": 0, "total_seconds": 5.5972}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 54, "image": "IMG_20250815_170041_jpg.rf.a65978ab35e2cb48c68d9eebdeaab87b.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [584, 309, 672, 412], \"label\": \"barcode\"},\n {\"box_2d\": [666, 0, 756, 75], \"label\": \"barcode\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 77, "elapsed_seconds": 23.14569587504957, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 23.6011}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 55, "image": "1_000070_png.rf.a431761eff2c713a18daff7bade25bde.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [779, 845, 819, 859], \"label\": \"tire spike absent\"},\n {\"box_2d\": [703, 938, 725, 945], \"label\": \"tire spike normal\"},\n {\"box_2d\": [704, 882, 738, 894], \"label\": \"tire spike normal\"},\n {\"box_2d\": [832, 799, 868, 813], \"label\": \"tire spike absent\"},\n {\"box_2d\": [789, 754, 825, 766], \"label\": \"tire spike normal\"},\n {\"box_2d\": [826, 696, 866, 710], \"label\": \"tire spike absent\"},\n {\"box_2d\": [783, 636, 815, 647], \"label\": \"tire spike absent\"},\n {\"box_2d\": [817, 574, 855, 586], \"label\": \"tire spike normal\"},\n {\"box_2d\": [768, 505, 804, 518], \"label\": \"tire spike normal\"},\n {\"box_2d\": [666, 447, 704, 461], \"label\": \"tire spike normal\"},\n {\"box_2d\": [749, 391, 783, 405], \"label\": \"tire spike absent\"},\n {\"box_2d\": [643, 333, 677, 344], \"label\": \"tire spike normal\"},\n {\"box_2d\": [730, 285, 766, 297], \"label\": \"tire spike normal\"},\n {\"box_2d\": [704, 179, 740, 190], \"label\": \"tire spike absent\"},\n {\"box_2d\": [623, 138, 653, 149], \"label\": \"tire spike normal\"},\n {\"box_2d\": [691, 104, 715, 113], \"label\": \"tire spike normal\"},\n {\"box_2d\": [592, 74, 621, 83], \"label\": \"tire spike normal\"},\n {\"box_2d\": [668, 52, 696, 62], \"label\": \"tire spike normal\"},\n {\"box_2d\": [283, 57, 309, 65], \"label\": \"tire spike normal\"},\n {\"box_2d\": [189, 91, 217, 100], \"label\": \"tire spike normal\"},\n {\"box_2d\": [160, 195, 189, 204], \"label\": \"tire spike normal\"},\n {\"box_2d\": [213, 247, 243, 259], \"label\": \"tire spike normal\"},\n {\"box_2d\": [296, 286, 332, 299], \"label\": \"tire spike normal\"},\n {\"box_2d\": [194, 353, 232, 366], \"label\": \"tire spike normal\"},\n {\"box_2d\": [306, 397, 340, 411], \"label\": \"tire spike absent\"},\n {\"box_2d\": [206, 466, 245, 480], \"label\": \"tire spike normal\"},\n {\"box_2d\": [189, 522, 228, 535], \"label\": \"tire spike normal\"},\n {\"box_2d\": [251, 594, 291, 608], \"label\": \"tire spike normal\"},\n {\"box_2d\": [221, 649, 258, 662], \"label\": \"tire spike normal\"},\n {\"box_2d\": [274, 717, 311, 728], \"label\": \"tire spike normal\"},\n {\"box_2d\": [232, 764, 268, 774], \"label\": \"tire spike normal\"},\n {\"box_2d\": [298, 820, 334, 830], \"label\": \"tire spike normal\"},\n {\"box_2d\": [383, 858, 417, 866], \"label\": \"tire spike normal\"},\n {\"box_2d\": [294, 895, 326, 903], \"label\": \"tire spike normal\"},\n {\"box_2d\": [396, 920, 421, 927], \"label\": \"tire spike normal\"},\n {\"box_2d\": [309, 945, 336, 952], \"label\": \"tire spike normal\"}\n]\n```", "correct": false, "input_tokens": 1222, "output_tokens": 1301, "elapsed_seconds": 11.964841541950591, "metadata": {"match_method": "map", "num_predictions": 36, "num_ground_truth": 46, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.18234795331954956, "attempts": 1, "retries": 0, "total_seconds": 12.0476}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 56, "image": "egg-detection_image148_jpg.rf.7ef43d25f8e9b9b7f3d805f238830ff7.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [774, 520, 853, 581], \"label\": \"egg\"},\n {\"box_2d\": [704, 617, 789, 676], \"label\": \"egg\"},\n {\"box_2d\": [752, 657, 836, 718], \"label\": \"egg\"},\n {\"box_2d\": [911, 676, 984, 732], \"label\": \"egg\"},\n {\"box_2d\": [891, 730, 978, 772], \"label\": \"egg\"},\n {\"box_2d\": [801, 698, 879, 756], \"label\": \"egg\"},\n {\"box_2d\": [739, 742, 816, 795], \"label\": \"egg\"},\n {\"box_2d\": [585, 595, 672, 658], \"label\": \"egg\"},\n {\"box_2d\": [579, 659, 667, 719], \"label\": \"egg\"},\n {\"box_2d\": [631, 699, 717, 759], \"label\": \"egg\"},\n {\"box_2d\": [624, 758, 706, 809], \"label\": \"egg\"},\n {\"box_2d\": [513, 715, 595, 769], \"label\": \"egg\"},\n {\"box_2d\": [441, 762, 552, 804], \"label\": \"egg\"},\n {\"box_2d\": [400, 631, 487, 694], \"label\": \"egg\"},\n {\"box_2d\": [407, 531, 492, 593], \"label\": \"egg\"},\n {\"box_2d\": [332, 712, 420, 771], \"label\": \"egg\"},\n {\"box_2d\": [275, 661, 360, 719], \"label\": \"egg\"},\n {\"box_2d\": [221, 698, 303, 754], \"label\": \"egg\"},\n {\"box_2d\": [111, 686, 189, 739], \"label\": \"egg\"},\n {\"box_2d\": [104, 613, 186, 675], \"label\": \"egg\"},\n {\"box_2d\": [160, 517, 239, 577], \"label\": \"egg\"},\n {\"box_2d\": [55, 569, 134, 625], \"label\": \"egg\"},\n {\"box_2d\": [19, 705, 92, 759], \"label\": \"egg\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 791, "elapsed_seconds": 107.61914199998137, "metadata": {"match_method": "map", "num_predictions": 23, "num_ground_truth": 23, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 107.7559}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 57, "image": "wood-log-detection_024_png_jpg.rf.263e49a755104b6d29dbdffe768891e9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [66, 294, 189, 434], \"label\": \"log cross-section\"},\n {\"box_2d\": [103, 412, 166, 480], \"label\": \"log cross-section\"},\n {\"box_2d\": [127, 475, 166, 502], \"label\": \"log cross-section\"},\n {\"box_2d\": [148, 444, 217, 503], \"label\": \"log cross-section\"},\n {\"box_2d\": [147, 319, 198, 377], \"label\": \"log cross-section\"},\n {\"box_2d\": [169, 386, 236, 430], \"label\": \"log cross-section\"},\n {\"box_2d\": [127, 241, 178, 300], \"label\": \"log cross-section\"},\n {\"box_2d\": [144, 281, 198, 330], \"label\": \"log cross-section\"},\n {\"box_2d\": [172, 247, 238, 320], \"label\": \"log cross-section\"},\n {\"box_2d\": [191, 320, 267, 386], \"label\": \"log cross-section\"},\n {\"box_2d\": [216, 239, 259, 287], \"label\": \"log cross-section\"},\n {\"box_2d\": [223, 294, 267, 339], \"label\": \"log cross-section\"},\n {\"box_2d\": [248, 323, 309, 369], \"label\": \"log cross-section\"},\n {\"box_2d\": [252, 247, 344, 333], \"label\": \"log cross-section\"},\n {\"box_2d\": [308, 242, 355, 306], \"label\": \"log cross-section\"},\n {\"box_2d\": [278, 352, 356, 405], \"label\": \"log cross-section\"},\n {\"box_2d\": [238, 388, 286, 434], \"label\": \"log cross-section\"},\n {\"box_2d\": [202, 422, 245, 481], \"label\": \"log cross-section\"},\n {\"box_2d\": [231, 439, 283, 486], \"label\": \"log cross-section\"},\n {\"box_2d\": [267, 420, 311, 481], \"label\": \"log cross-section\"},\n {\"box_2d\": [300, 416, 359, 498], \"label\": \"log cross-section\"},\n {\"box_2d\": [305, 392, 358, 430], \"label\": \"log cross-section\"},\n {\"box_2d\": [294, 473, 347, 520], \"label\": \"log cross-section\"},\n {\"box_2d\": [250, 491, 302, 534], \"label\": \"log cross-section\"},\n {\"box_2d\": [214, 483, 252, 522], \"label\": \"log cross-section\"},\n {\"box_2d\": [184, 511, 227, 552], \"label\": \"log cross-section\"},\n {\"box_2d\": [153, 533, 223, 600], \"label\": \"log cross-section\"},\n {\"box_2d\": [120, 597, 178, 691], \"label\": \"log cross-section\"},\n {\"box_2d\": [150, 656, 220, 728], \"label\": \"log cross-section\"},\n {\"box_2d\": [175, 595, 245, 659], \"label\": \"log cross-section\"},\n {\"box_2d\": [206, 614, 272, 686], \"label\": \"log cross-section\"},\n {\"box_2d\": [200, 686, 255, 745], \"label\": \"log cross-section\"},\n {\"box_2d\": [252, 661, 319, 738], \"label\": \"log cross-section\"},\n {\"box_2d\": [294, 675, 350, 742], \"label\": \"log cross-section\"},\n {\"box_2d\": [328, 623, 355, 691], \"label\": \"log cross-section\"},\n {\"box_2d\": [269, 616, 333, 667], \"label\": \"log cross-section\"},\n {\"box_2d\": [258, 558, 345, 628], \"label\": \"log cross-section\"},\n {\"box_2d\": [294, 527, 355, 581], \"label\": \"log cross-section\"},\n {\"box_2d\": [222, 562, 267, 598], \"label\": \"log cross-section\"},\n {\"box_2d\": [222, 519, 281, 567], \"label\": \"log cross-section\"}\n]\n```", "correct": false, "input_tokens": 1228, "output_tokens": 1491, "elapsed_seconds": 13.94007595803123, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 40, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.1422932893037796, "attempts": 1, "retries": 0, "total_seconds": 13.9629}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 58, "image": "img_458587397241176242_png.rf.41b1d861ca437ce5097848dacad76db8.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [742, 427, 868, 591], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [852, 121, 991, 300], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [736, 146, 853, 315], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [624, 169, 738, 333], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [519, 189, 634, 344], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [423, 211, 535, 348], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [332, 226, 444, 360], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [250, 245, 355, 368], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [172, 253, 274, 370], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [127, 364, 224, 480], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [147, 466, 250, 586], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [101, 585, 206, 709], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [121, 699, 232, 830], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [207, 703, 323, 839], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [183, 579, 289, 710], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [230, 461, 339, 589], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [205, 352, 311, 474], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [290, 344, 396, 469], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [319, 459, 430, 586], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [269, 579, 381, 711], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [298, 705, 417, 845], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [396, 709, 520, 858], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [363, 576, 478, 715], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [412, 452, 525, 586], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [377, 333, 490, 464], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [474, 321, 589, 456], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [578, 305, 695, 450], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [513, 444, 629, 589], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [465, 576, 583, 720], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [504, 711, 631, 868], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [622, 716, 749, 882], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [575, 576, 700, 728], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [623, 438, 743, 588], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [691, 290, 811, 450], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [811, 269, 944, 445], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [867, 413, 1000, 583], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [695, 576, 821, 735], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [819, 572, 971, 740], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [748, 722, 882, 896], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [880, 730, 1000, 914], \"label\": \"empty portable gas cylinder\"}\n]\n```", "correct": false, "input_tokens": 1208, "output_tokens": 1494, "elapsed_seconds": 51.02024783298839, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 40, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.4413309395313263, "attempts": 1, "retries": 0, "total_seconds": 51.1371}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 59, "image": "frame_0008_jpg.rf.87aed24f253375f69a3bb398f6521d18.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [219, 326, 260, 350], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [206, 510, 246, 533], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [205, 447, 247, 471], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [209, 384, 250, 409], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [117, 389, 159, 412], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [126, 333, 169, 356], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [112, 448, 152, 471], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [114, 507, 152, 530], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [28, 507, 68, 529], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [25, 452, 65, 473], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [32, 396, 68, 417], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [41, 342, 79, 363], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [499, 315, 549, 341], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [512, 376, 560, 403], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [527, 439, 574, 466], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [540, 503, 588, 530], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [654, 491, 704, 518], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [641, 425, 691, 452], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [626, 362, 675, 389], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [607, 303, 657, 327], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [723, 297, 770, 322], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [741, 357, 789, 381], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [757, 419, 805, 446], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [772, 485, 819, 511], \"label\": \"soda bottle cap\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 868, "elapsed_seconds": 77.86125779198483, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 24, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 78.4389}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 60, "image": "uav20221018_ixfZ_3857_0_png.rf.68f3022f53a4bfe08c731fb3a58473cf.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [230, 336, 307, 405], \"label\": \"banana tree\"},\n {\"box_2d\": [206, 407, 275, 470], \"label\": \"banana tree\"},\n {\"box_2d\": [283, 404, 344, 469], \"label\": \"banana tree\"},\n {\"box_2d\": [323, 326, 392, 398], \"label\": \"banana tree\"},\n {\"box_2d\": [371, 398, 439, 480], \"label\": \"banana tree\"},\n {\"box_2d\": [416, 341, 471, 391], \"label\": \"banana tree\"},\n {\"box_2d\": [447, 404, 513, 476], \"label\": \"banana tree\"},\n {\"box_2d\": [498, 323, 565, 404], \"label\": \"banana tree\"},\n {\"box_2d\": [540, 412, 599, 463], \"label\": \"banana tree\"},\n {\"box_2d\": [581, 332, 659, 396], \"label\": \"banana tree\"},\n {\"box_2d\": [632, 412, 697, 483], \"label\": \"banana tree\"},\n {\"box_2d\": [666, 340, 738, 409], \"label\": \"banana tree\"},\n {\"box_2d\": [715, 417, 783, 474], \"label\": \"banana tree\"},\n {\"box_2d\": [750, 324, 829, 402], \"label\": \"banana tree\"},\n {\"box_2d\": [800, 406, 875, 478], \"label\": \"banana tree\"},\n {\"box_2d\": [845, 340, 913, 402], \"label\": \"banana tree\"},\n {\"box_2d\": [879, 407, 949, 485], \"label\": \"banana tree\"},\n {\"box_2d\": [928, 336, 988, 399], \"label\": \"banana tree\"},\n {\"box_2d\": [971, 406, 1000, 475], \"label\": \"banana tree\"},\n {\"box_2d\": [186, 681, 255, 755], \"label\": \"banana tree\"},\n {\"box_2d\": [235, 691, 311, 764], \"label\": \"banana tree\"},\n {\"box_2d\": [278, 631, 337, 690], \"label\": \"banana tree\"},\n {\"box_2d\": [314, 693, 391, 767], \"label\": \"banana tree\"},\n {\"box_2d\": [363, 621, 444, 694], \"label\": \"banana tree\"},\n {\"box_2d\": [400, 695, 482, 772], \"label\": \"banana tree\"},\n {\"box_2d\": [454, 622, 509, 697], \"label\": \"banana tree\"},\n {\"box_2d\": [482, 697, 560, 772], \"label\": \"banana tree\"},\n {\"box_2d\": [535, 620, 608, 701], \"label\": \"banana tree\"},\n {\"box_2d\": [568, 707, 646, 776], \"label\": \"banana tree\"},\n {\"box_2d\": [621, 643, 675, 704], \"label\": \"banana tree\"},\n {\"box_2d\": [654, 699, 732, 780], \"label\": \"banana tree\"},\n {\"box_2d\": [700, 622, 769, 707], \"label\": \"banana tree\"},\n {\"box_2d\": [742, 701, 813, 778], \"label\": \"banana tree\"},\n {\"box_2d\": [788, 638, 862, 701], \"label\": \"banana tree\"},\n {\"box_2d\": [826, 697, 904, 769], \"label\": \"banana tree\"},\n {\"box_2d\": [873, 622, 938, 704], \"label\": \"banana tree\"},\n {\"box_2d\": [914, 701, 987, 765], \"label\": \"banana tree\"},\n {\"box_2d\": [960, 621, 1000, 698], \"label\": \"banana tree\"},\n {\"box_2d\": [205, 937, 263, 986], \"label\": \"banana tree\"},\n {\"box_2d\": [283, 929, 369, 995], \"label\": \"banana tree\"},\n {\"box_2d\": [377, 926, 444, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [450, 935, 532, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [540, 920, 620, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [629, 939, 695, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [712, 930, 786, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [797, 946, 863, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [880, 934, 954, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [965, 940, 1000, 995], \"label\": \"banana tree\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 1702, "elapsed_seconds": 127.01854674995411, "metadata": {"match_method": "map", "num_predictions": 48, "num_ground_truth": 47, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9578680992126465, "attempts": 1, "retries": 0, "total_seconds": 127.0847}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 61, "image": "egg-detection_image32_jpg.rf.bd04bf65691e0bae0f1d97601289a543.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [448, 427, 535, 491], \"label\": \"egg\"},\n {\"box_2d\": [177, 694, 255, 753], \"label\": \"egg\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 80, "elapsed_seconds": 85.06637858296745, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 85.2071}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 62, "image": "construction-safety_ppe_0407_jpg.rf.b54d8bba5b223e0515f3d28ff728e79a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [329, 822, 377, 862], \"label\": \"safety helmet\"},\n {\"box_2d\": [349, 646, 825, 697], \"label\": \"person\"},\n {\"box_2d\": [373, 353, 416, 382], \"label\": \"safety helmet\"},\n {\"box_2d\": [397, 578, 809, 636], \"label\": \"person\"},\n {\"box_2d\": [461, 581, 643, 631], \"label\": \"safety vest\"},\n {\"box_2d\": [308, 695, 369, 743], \"label\": \"safety helmet\"},\n {\"box_2d\": [447, 523, 647, 574], \"label\": \"safety vest\"},\n {\"box_2d\": [400, 686, 680, 766], \"label\": \"safety vest\"},\n {\"box_2d\": [377, 517, 815, 574], \"label\": \"person\"},\n {\"box_2d\": [343, 456, 704, 513], \"label\": \"person\"},\n {\"box_2d\": [425, 391, 588, 444], \"label\": \"safety vest\"},\n {\"box_2d\": [357, 405, 403, 434], \"label\": \"safety helmet\"},\n {\"box_2d\": [417, 456, 613, 509], \"label\": \"safety vest\"},\n {\"box_2d\": [332, 809, 896, 894], \"label\": \"person\"},\n {\"box_2d\": [348, 654, 391, 683], \"label\": \"safety helmet\"},\n {\"box_2d\": [375, 333, 828, 419], \"label\": \"person\"},\n {\"box_2d\": [359, 391, 780, 446], \"label\": \"person\"},\n {\"box_2d\": [448, 338, 636, 392], \"label\": \"safety vest\"},\n {\"box_2d\": [399, 591, 445, 618], \"label\": \"safety helmet\"},\n {\"box_2d\": [343, 464, 387, 495], \"label\": \"safety helmet\"},\n {\"box_2d\": [433, 647, 608, 695], \"label\": \"safety vest\"},\n {\"box_2d\": [377, 535, 435, 567], \"label\": \"safety helmet\"},\n {\"box_2d\": [416, 827, 637, 892], \"label\": \"safety vest\"},\n {\"box_2d\": [311, 614, 991, 767], \"label\": \"person\"}\n]\n```", "correct": true, "input_tokens": 1220, "output_tokens": 844, "elapsed_seconds": 13.465357040986419, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 28, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8547855019569397, "attempts": 1, "retries": 0, "total_seconds": 13.5055}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 63, "image": "IMG_4931_jpg.rf.58c129944a1f2b663c55dbd43e27cf91.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [598, 249, 646, 274], \"label\": \"face\"},\n {\"box_2d\": [632, 341, 676, 366], \"label\": \"face\"},\n {\"box_2d\": [417, 252, 449, 267], \"label\": \"face\"},\n {\"box_2d\": [432, 281, 463, 297], \"label\": \"face\"},\n {\"box_2d\": [423, 376, 451, 391], \"label\": \"face\"},\n {\"box_2d\": [336, 400, 359, 412], \"label\": \"face\"},\n {\"box_2d\": [351, 429, 374, 443], \"label\": \"face\"},\n {\"box_2d\": [307, 492, 325, 502], \"label\": \"face\"},\n {\"box_2d\": [274, 551, 294, 561], \"label\": \"face\"},\n {\"box_2d\": [355, 597, 379, 610], \"label\": \"face\"},\n {\"box_2d\": [319, 634, 338, 644], \"label\": \"face\"},\n {\"box_2d\": [345, 646, 365, 656], \"label\": \"face\"},\n {\"box_2d\": [365, 623, 385, 636], \"label\": \"face\"},\n {\"box_2d\": [294, 606, 314, 617], \"label\": \"face\"},\n {\"box_2d\": [294, 556, 312, 566], \"label\": \"face\"},\n {\"box_2d\": [318, 524, 338, 535], \"label\": \"face\"},\n {\"box_2d\": [299, 635, 316, 644], \"label\": \"face\"},\n {\"box_2d\": [288, 583, 305, 592], \"label\": \"face\"},\n {\"box_2d\": [357, 756, 377, 767], \"label\": \"face\"},\n {\"box_2d\": [354, 726, 374, 736], \"label\": \"face\"},\n {\"box_2d\": [336, 695, 357, 706], \"label\": \"face\"},\n {\"box_2d\": [342, 614, 365, 624], \"label\": \"face\"},\n {\"box_2d\": [269, 522, 287, 532], \"label\": \"face\"},\n {\"box_2d\": [308, 669, 332, 681], \"label\": \"face\"},\n {\"box_2d\": [296, 526, 316, 537], \"label\": \"face\"},\n {\"box_2d\": [299, 618, 321, 628], \"label\": \"face\"},\n {\"box_2d\": [306, 645, 326, 655], \"label\": \"face\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 930, "elapsed_seconds": 125.29272708308417, "metadata": {"match_method": "map", "num_predictions": 27, "num_ground_truth": 28, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8502970337867737, "attempts": 1, "retries": 0, "total_seconds": 125.7821}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 64, "image": "tile_232_jpg.rf.d215d900b9cd862d3217f88435d7ad8a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [666, 779, 738, 976], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [586, 405, 650, 524], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [624, 540, 725, 749], \"label\": \"ship in SAR satellite image\"}\n]\n```", "correct": true, "input_tokens": 1229, "output_tokens": 126, "elapsed_seconds": 6.267301874933764, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 6.3042}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 65, "image": "IMG_20250815_164441_jpg.rf.3c12e140b11a4091c99d31ed66a86850.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [598, 38, 622, 66], \"label\": \"barcode\"},\n {\"box_2d\": [832, 41, 885, 69], \"label\": \"barcode\"},\n {\"box_2d\": [832, 214, 856, 241], \"label\": \"barcode\"},\n {\"box_2d\": [603, 230, 628, 258], \"label\": \"barcode\"},\n {\"box_2d\": [514, 208, 567, 236], \"label\": \"barcode\"},\n {\"box_2d\": [504, 323, 557, 352], \"label\": \"barcode\"},\n {\"box_2d\": [612, 372, 637, 400], \"label\": \"barcode\"},\n {\"box_2d\": [864, 396, 890, 424], \"label\": \"barcode\"},\n {\"box_2d\": [867, 526, 891, 552], \"label\": \"barcode\"},\n {\"box_2d\": [615, 519, 640, 547], \"label\": \"barcode\"},\n {\"box_2d\": [500, 486, 524, 513], \"label\": \"barcode\"},\n {\"box_2d\": [507, 629, 559, 657], \"label\": \"barcode\"},\n {\"box_2d\": [621, 666, 646, 694], \"label\": \"barcode\"},\n {\"box_2d\": [865, 653, 888, 680], \"label\": \"barcode\"},\n {\"box_2d\": [630, 838, 654, 865], \"label\": \"barcode\"},\n {\"box_2d\": [535, 839, 588, 866], \"label\": \"barcode\"},\n {\"box_2d\": [92, 637, 149, 665], \"label\": \"barcode\"},\n {\"box_2d\": [181, 510, 235, 538], \"label\": \"barcode\"},\n {\"box_2d\": [155, 418, 181, 446], \"label\": \"barcode\"},\n {\"box_2d\": [146, 261, 203, 290], \"label\": \"barcode\"},\n {\"box_2d\": [634, 978, 656, 1000], \"label\": \"barcode\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 722, "elapsed_seconds": 52.42001095798332, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 21, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 52.9104}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 66, "image": "car-part-detection_Car-damages-128_png_jpg.rf.e07bc73742c49cec70d8b7dc538a39d2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [553, 56, 773, 113], \"label\": \"front bumper\"},\n {\"box_2d\": [512, 70, 581, 102], \"label\": \"headlight\"},\n {\"box_2d\": [366, 70, 502, 340], \"label\": \"hood\"},\n {\"box_2d\": [227, 298, 417, 458], \"label\": \"windshield\"},\n {\"box_2d\": [343, 378, 419, 419], \"label\": \"mirror\"},\n {\"box_2d\": [215, 348, 419, 591], \"label\": \"front window\"},\n {\"box_2d\": [213, 316, 718, 593], \"label\": \"front door\"},\n {\"box_2d\": [213, 562, 701, 816], \"label\": \"back door\"},\n {\"box_2d\": [213, 596, 396, 816], \"label\": \"back window\"},\n {\"box_2d\": [243, 864, 373, 922], \"label\": \"back windshield\"},\n {\"box_2d\": [347, 895, 481, 932], \"label\": \"tail light\"},\n {\"box_2d\": [468, 848, 720, 949], \"label\": \"back bumper\"}\n]\n```", "correct": true, "input_tokens": 1224, "output_tokens": 427, "elapsed_seconds": 6.635821874951944, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 13, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9587457776069641, "attempts": 1, "retries": 0, "total_seconds": 6.6587}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 67, "image": "Lego_73_low_jpeg.rf.bf207a14dd8d49e9b00aae2e1a8886e1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [715, 396, 756, 496], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [720, 634, 782, 731], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [637, 940, 725, 1000], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [771, 895, 835, 969], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [706, 847, 790, 929], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [569, 779, 651, 850], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [528, 850, 622, 946], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [493, 798, 567, 862], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [592, 588, 652, 691], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [528, 536, 603, 622], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [588, 430, 652, 529], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [607, 294, 657, 409], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [547, 393, 626, 484], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [455, 271, 550, 329], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [704, 94, 806, 170], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [398, 41, 496, 114], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [228, 44, 305, 146], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [62, 204, 132, 296], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [188, 240, 258, 333], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [202, 454, 258, 557], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [105, 519, 182, 616], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [37, 680, 136, 786], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [233, 669, 319, 738], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [199, 764, 300, 823], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [186, 811, 287, 857], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [128, 843, 236, 885], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [160, 941, 247, 1000], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [387, 809, 469, 877], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [410, 728, 485, 811], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [387, 682, 467, 773], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [379, 631, 476, 689], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [414, 428, 482, 536], \"label\": \"lego 4x2 brick\"}\n]\n```", "correct": true, "input_tokens": 1244, "output_tokens": 1257, "elapsed_seconds": 15.79571437498089, "metadata": {"match_method": "map", "num_predictions": 32, "num_ground_truth": 32, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8571507334709167, "attempts": 1, "retries": 0, "total_seconds": 15.8791}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 68, "image": "IMG_6646_jpeg_jpg.rf.bb15616ff058bc9ba8f9683f61ab5fbb.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [345, 336, 410, 505], \"label\": \"green poker chip\"},\n {\"box_2d\": [389, 337, 427, 505], \"label\": \"green poker chip\"},\n {\"box_2d\": [404, 340, 444, 508], \"label\": \"green poker chip\"},\n {\"box_2d\": [416, 345, 459, 513], \"label\": \"green poker chip\"},\n {\"box_2d\": [437, 349, 476, 516], \"label\": \"green poker chip\"},\n {\"box_2d\": [453, 355, 492, 515], \"label\": \"green poker chip\"},\n {\"box_2d\": [450, 343, 510, 508], \"label\": \"green poker chip\"},\n {\"box_2d\": [311, 530, 369, 710], \"label\": \"green poker chip\"},\n {\"box_2d\": [346, 530, 386, 706], \"label\": \"green poker chip\"},\n {\"box_2d\": [358, 529, 402, 706], \"label\": \"green poker chip\"},\n {\"box_2d\": [377, 533, 419, 706], \"label\": \"green poker chip\"},\n {\"box_2d\": [393, 533, 437, 706], \"label\": \"green poker chip\"},\n {\"box_2d\": [407, 532, 453, 704], \"label\": \"green poker chip\"},\n {\"box_2d\": [423, 532, 468, 701], \"label\": \"green poker chip\"},\n {\"box_2d\": [437, 530, 483, 698], \"label\": \"green poker chip\"},\n {\"box_2d\": [448, 529, 499, 695], \"label\": \"green poker chip\"},\n {\"box_2d\": [459, 548, 521, 718], \"label\": \"green poker chip\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 624, "elapsed_seconds": 32.10555887501687, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 17, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 32.1295}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 69, "image": "41_jpg.rf.2cb4080a10f215e4bd4d6ed6d4ea3e68.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [234, 236, 545, 323], \"label\": \"blood sample tube\"},\n {\"box_2d\": [469, 178, 703, 381], \"label\": \"blood sample tube\"},\n {\"box_2d\": [548, 336, 731, 561], \"label\": \"blood sample tube\"},\n {\"box_2d\": [555, 416, 736, 642], \"label\": \"blood sample tube\"},\n {\"box_2d\": [336, 377, 603, 550], \"label\": \"blood sample tube\"},\n {\"box_2d\": [356, 472, 648, 622], \"label\": \"blood sample tube\"},\n {\"box_2d\": [231, 497, 536, 620], \"label\": \"blood sample tube\"},\n {\"box_2d\": [92, 330, 345, 512], \"label\": \"blood sample tube\"},\n {\"box_2d\": [303, 616, 609, 747], \"label\": \"blood sample tube\"},\n {\"box_2d\": [395, 633, 684, 791], \"label\": \"blood sample tube\"},\n {\"box_2d\": [366, 720, 681, 845], \"label\": \"blood sample tube\"},\n {\"box_2d\": [345, 830, 680, 886], \"label\": \"blood sample tube\"},\n {\"box_2d\": [353, 881, 686, 928], \"label\": \"blood sample tube\"},\n {\"box_2d\": [673, 672, 738, 928], \"label\": \"blood sample tube\"},\n {\"box_2d\": [173, 631, 275, 886], \"label\": \"blood sample tube\"},\n {\"box_2d\": [22, 869, 355, 919], \"label\": \"blood sample tube\"},\n {\"box_2d\": [134, 466, 200, 709], \"label\": \"blood sample tube\"},\n {\"box_2d\": [77, 384, 144, 622], \"label\": \"blood sample tube\"},\n {\"box_2d\": [75, 627, 141, 878], \"label\": \"blood sample tube\"},\n {\"box_2d\": [20, 622, 83, 866], \"label\": \"blood sample tube\"},\n {\"box_2d\": [23, 384, 86, 623], \"label\": \"blood sample tube\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 760, "elapsed_seconds": 37.57854575000238, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 21, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 37.6066}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 70, "image": "construction-safety_ppe_0710_jpg.rf.d335438ef5819cfad67cee1d9e8c6eab.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [219, 314, 865, 444], \"label\": \"person\"},\n {\"box_2d\": [173, 47, 892, 184], \"label\": \"person\"},\n {\"box_2d\": [278, 571, 336, 626], \"label\": \"safety helmet\"},\n {\"box_2d\": [224, 177, 297, 245], \"label\": \"safety helmet\"},\n {\"box_2d\": [211, 700, 267, 754], \"label\": \"safety helmet\"},\n {\"box_2d\": [329, 326, 560, 424], \"label\": \"safety vest\"},\n {\"box_2d\": [389, 557, 620, 649], \"label\": \"safety vest\"},\n {\"box_2d\": [170, 104, 232, 162], \"label\": \"safety helmet\"},\n {\"box_2d\": [222, 433, 839, 567], \"label\": \"person\"},\n {\"box_2d\": [279, 543, 888, 673], \"label\": \"person\"},\n {\"box_2d\": [221, 783, 297, 858], \"label\": \"safety helmet\"},\n {\"box_2d\": [319, 668, 523, 779], \"label\": \"safety vest\"},\n {\"box_2d\": [191, 278, 246, 330], \"label\": \"safety helmet\"},\n {\"box_2d\": [221, 461, 281, 515], \"label\": \"safety helmet\"},\n {\"box_2d\": [283, 76, 517, 179], \"label\": \"safety vest\"},\n {\"box_2d\": [191, 246, 836, 355], \"label\": \"person\"},\n {\"box_2d\": [224, 740, 962, 929], \"label\": \"person\"},\n {\"box_2d\": [216, 347, 275, 403], \"label\": \"safety helmet\"},\n {\"box_2d\": [336, 765, 571, 894], \"label\": \"safety vest\"},\n {\"box_2d\": [213, 649, 868, 796], \"label\": \"person\"},\n {\"box_2d\": [327, 451, 540, 547], \"label\": \"safety vest\"},\n {\"box_2d\": [298, 259, 512, 343], \"label\": \"safety vest\"},\n {\"box_2d\": [341, 168, 588, 273], \"label\": \"safety vest\"},\n {\"box_2d\": [229, 149, 895, 283], \"label\": \"person\"}\n]\n```", "correct": true, "input_tokens": 1222, "output_tokens": 842, "elapsed_seconds": 16.14538287499454, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 24, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 16.2036}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 71, "image": "4103456_ContLeftUpper_f_jpg.rf.6635963edc568c350879157eaf0b4b06.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [535, 100, 560, 121], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [556, 260, 577, 281], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [367, 258, 393, 279], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [397, 17, 421, 38], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [399, 59, 434, 80], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [387, 139, 426, 160], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [380, 178, 412, 200], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [434, 259, 463, 280], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [367, 339, 393, 359], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [425, 340, 456, 360], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [343, 419, 380, 439], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [436, 420, 474, 441], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [349, 501, 380, 521], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [540, 20, 568, 41], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [529, 182, 579, 202], \"label\": \"shipping container wall dent\"}\n]\n```", "correct": false, "input_tokens": 1255, "output_tokens": 561, "elapsed_seconds": 12.278626709012315, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 20, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.08952145278453827, "attempts": 1, "retries": 0, "total_seconds": 12.4004}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 72, "image": "V000087_0_0-Drive-Shaft_jpeg_jpg.rf.148a90e2fb96f98fb22ea082d09655d1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [799, 92, 968, 956], \"label\": \"technical drawing table\"},\n {\"box_2d\": [169, 349, 214, 449], \"label\": \"surface roughness symbol\"},\n {\"box_2d\": [161, 434, 221, 502], \"label\": \"dimension annotation\"},\n {\"box_2d\": [166, 493, 241, 571], \"label\": \"dimension annotation\"},\n {\"box_2d\": [183, 554, 206, 634], \"label\": \"dimension annotation\"},\n {\"box_2d\": [264, 576, 286, 668], \"label\": \"dimension annotation\"},\n {\"box_2d\": [263, 488, 287, 554], \"label\": \"dimension annotation\"},\n {\"box_2d\": [294, 434, 319, 578], \"label\": \"dimension annotation\"},\n {\"box_2d\": [293, 311, 319, 434], \"label\": \"dimension annotation\"},\n {\"box_2d\": [153, 669, 286, 853], \"label\": \"dimension annotation\"},\n {\"box_2d\": [141, 728, 287, 907], \"label\": \"dimension annotation\"},\n {\"box_2d\": [512, 216, 538, 578], \"label\": \"dimension annotation\"},\n {\"box_2d\": [471, 591, 517, 625], \"label\": \"dimension annotation\"},\n {\"box_2d\": [436, 591, 474, 625], \"label\": \"dimension annotation\"},\n {\"box_2d\": [428, 632, 484, 667], \"label\": \"dimension annotation\"}\n]\n```", "correct": false, "input_tokens": 1237, "output_tokens": 538, "elapsed_seconds": 19.858217792003416, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.666666567325592, "attempts": 1, "retries": 0, "total_seconds": 19.8735}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 73, "image": "1_000290_png.rf.2ed72f4c5f09c4e50e5326dbdb424cd7.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [760, 204, 777, 232], \"label\": \"tire spike normal\"},\n {\"box_2d\": [828, 319, 845, 349], \"label\": \"tire spike normal\"},\n {\"box_2d\": [891, 487, 918, 521], \"label\": \"tire spike absent\"},\n {\"box_2d\": [656, 173, 678, 200], \"label\": \"tire spike normal\"},\n {\"box_2d\": [536, 246, 560, 277], \"label\": \"tire spike normal\"},\n {\"box_2d\": [644, 419, 663, 449], \"label\": \"tire spike absent\"},\n {\"box_2d\": [696, 571, 712, 597], \"label\": \"tire spike normal\"},\n {\"box_2d\": [882, 668, 898, 697], \"label\": \"tire spike normal\"},\n {\"box_2d\": [928, 796, 947, 842], \"label\": \"tire spike absent\"},\n {\"box_2d\": [815, 783, 839, 814], \"label\": \"tire spike normal\"},\n {\"box_2d\": [708, 816, 725, 845], \"label\": \"tire spike normal\"},\n {\"box_2d\": [585, 740, 608, 770], \"label\": \"tire spike normal\"},\n {\"box_2d\": [500, 789, 521, 818], \"label\": \"tire spike normal\"},\n {\"box_2d\": [495, 591, 515, 622], \"label\": \"tire spike normal\"},\n {\"box_2d\": [451, 398, 467, 427], \"label\": \"tire spike normal\"},\n {\"box_2d\": [459, 201, 476, 229], \"label\": \"tire spike normal\"},\n {\"box_2d\": [383, 366, 398, 397], \"label\": \"tire spike normal\"},\n {\"box_2d\": [303, 219, 320, 244], \"label\": \"tire spike normal\"},\n {\"box_2d\": [219, 274, 232, 299], \"label\": \"tire spike normal\"},\n {\"box_2d\": [207, 431, 219, 458], \"label\": \"tire spike normal\"},\n {\"box_2d\": [298, 496, 313, 524], \"label\": \"tire spike normal\"},\n {\"box_2d\": [425, 623, 442, 653], \"label\": \"tire spike normal\"},\n {\"box_2d\": [339, 781, 358, 809], \"label\": \"tire spike normal\"},\n {\"box_2d\": [248, 724, 266, 753], \"label\": \"tire spike normal\"},\n {\"box_2d\": [237, 565, 250, 593], \"label\": \"tire spike normal\"},\n {\"box_2d\": [160, 648, 171, 676], \"label\": \"tire spike normal\"},\n {\"box_2d\": [135, 748, 148, 773], \"label\": \"tire spike normal\"},\n {\"box_2d\": [96, 773, 108, 796], \"label\": \"tire spike normal\"},\n {\"box_2d\": [82, 565, 89, 588], \"label\": \"tire spike normal\"},\n {\"box_2d\": [137, 352, 146, 377], \"label\": \"tire spike normal\"},\n {\"box_2d\": [116, 260, 125, 285], \"label\": \"tire spike normal\"}\n]\n```", "correct": false, "input_tokens": 1215, "output_tokens": 1125, "elapsed_seconds": 27.38945912499912, "metadata": {"match_method": "map", "num_predictions": 31, "num_ground_truth": 35, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0256525669246912, "attempts": 1, "retries": 0, "total_seconds": 27.4496}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 74, "image": "GP010212_JPG_jpg.rf.6a034cdac286be2f0a162b6bfc04e1c0.jpg", "expected": "", "predicted": "```json\n[{\"box_2d\": [231, 498, 272, 720], \"label\": \"carrot\"}, {\"box_2d\": [256, 447, 314, 608], \"label\": \"carrot\"}, {\"box_2d\": [256, 200, 362, 384], \"label\": \"carrot\"}, {\"box_2d\": [270, 231, 377, 438], \"label\": \"carrot\"}, {\"box_2d\": [278, 508, 369, 681], \"label\": \"carrot\"}, {\"box_2d\": [322, 488, 391, 648], \"label\": \"carrot\"}, {\"box_2d\": [298, 675, 453, 700], \"label\": \"carrot\"}, {\"box_2d\": [339, 431, 412, 584], \"label\": \"carrot\"}, {\"box_2d\": [364, 248, 408, 488], \"label\": \"carrot\"}, {\"box_2d\": [378, 523, 442, 686], \"label\": \"carrot\"}, {\"box_2d\": [397, 327, 436, 505], \"label\": \"carrot\"}, {\"box_2d\": [355, 95, 489, 258], \"label\": \"carrot\"}, {\"box_2d\": [372, 181, 509, 289], \"label\": \"carrot\"}, {\"box_2d\": [427, 369, 455, 514], \"label\": \"carrot\"}, {\"box_2d\": [427, 281, 520, 495], \"label\": \"carrot\"}, {\"box_2d\": [470, 286, 527, 453], \"label\": \"carrot\"}, {\"box_2d\": [453, 441, 489, 650], \"label\": \"carrot\"}, {\"box_2d\": [456, 406, 525, 567], \"label\": \"carrot\"}, {\"box_2d\": [478, 208, 622, 353], \"label\": \"carrot\"}, {\"box_2d\": [497, 108, 634, 236], \"label\": \"carrot\"}, {\"box_2d\": [488, 616, 567, 806], \"label\": \"carrot\"}, {\"box_2d\": [523, 427, 553, 591], \"label\": \"carrot\"}, {\"box_2d\": [531, 333, 589, 586], \"label\": \"carrot\"}, {\"box_2d\": [573, 523, 609, 722], \"label\": \"carrot\"}, {\"box_2d\": [608, 559, 644, 720], \"label\": \"carrot\"}, {\"box_2d\": [628, 523, 688, 767], \"label\": \"carrot\"}, {\"box_2d\": [533, 300, 661, 492], \"label\": \"carrot\"}, {\"box_2d\": [630, 206, 669, 427], \"label\": \"carrot\"}]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 904, "elapsed_seconds": 45.89999862504192, "metadata": {"match_method": "map", "num_predictions": 28, "num_ground_truth": 28, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 45.9254}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 75, "image": "egg-detection_image25_jpg.rf.5c4d3f7ce6887203cc33b5f86e849ef9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [76, 752, 144, 797], \"label\": \"egg\"},\n {\"box_2d\": [116, 715, 184, 764], \"label\": \"egg\"},\n {\"box_2d\": [92, 797, 158, 840], \"label\": \"egg\"},\n {\"box_2d\": [244, 396, 326, 452], \"label\": \"egg\"},\n {\"box_2d\": [264, 689, 349, 750], \"label\": \"egg\"},\n {\"box_2d\": [326, 661, 402, 711], \"label\": \"egg\"},\n {\"box_2d\": [290, 811, 362, 854], \"label\": \"egg\"},\n {\"box_2d\": [400, 809, 471, 853], \"label\": \"egg\"},\n {\"box_2d\": [373, 581, 464, 632], \"label\": \"egg\"},\n {\"box_2d\": [495, 444, 579, 504], \"label\": \"egg\"},\n {\"box_2d\": [565, 521, 646, 579], \"label\": \"egg\"},\n {\"box_2d\": [617, 485, 718, 532], \"label\": \"egg\"},\n {\"box_2d\": [685, 431, 760, 488], \"label\": \"egg\"},\n {\"box_2d\": [855, 601, 931, 653], \"label\": \"egg\"},\n {\"box_2d\": [848, 677, 920, 730], \"label\": \"egg\"},\n {\"box_2d\": [889, 710, 962, 755], \"label\": \"egg\"},\n {\"box_2d\": [837, 745, 903, 788], \"label\": \"egg\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 588, "elapsed_seconds": 33.30905087501742, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 17, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 33.4359}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 76, "image": "94D76C4A-9650-486B-8278-406A692F552F_jpg.rf.441749660b1bde146bfdbfa517d4e058.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [732, 206, 777, 246], \"label\": \"pill\"},\n {\"box_2d\": [614, 344, 659, 389], \"label\": \"pill\"},\n {\"box_2d\": [526, 303, 570, 346], \"label\": \"pill\"},\n {\"box_2d\": [468, 330, 511, 374], \"label\": \"pill\"},\n {\"box_2d\": [469, 281, 511, 326], \"label\": \"pill\"},\n {\"box_2d\": [433, 238, 476, 282], \"label\": \"pill\"},\n {\"box_2d\": [426, 286, 469, 330], \"label\": \"pill\"},\n {\"box_2d\": [387, 300, 429, 344], \"label\": \"pill\"},\n {\"box_2d\": [405, 360, 448, 404], \"label\": \"pill\"},\n {\"box_2d\": [363, 338, 407, 382], \"label\": \"pill\"},\n {\"box_2d\": [345, 276, 388, 319], \"label\": \"pill\"},\n {\"box_2d\": [513, 403, 557, 447], \"label\": \"pill\"},\n {\"box_2d\": [416, 425, 459, 469], \"label\": \"pill\"},\n {\"box_2d\": [385, 456, 428, 499], \"label\": \"pill\"},\n {\"box_2d\": [322, 434, 366, 477], \"label\": \"pill\"},\n {\"box_2d\": [308, 474, 352, 517], \"label\": \"pill\"},\n {\"box_2d\": [269, 462, 311, 505], \"label\": \"pill\"},\n {\"box_2d\": [234, 436, 277, 479], \"label\": \"pill\"},\n {\"box_2d\": [196, 358, 239, 402], \"label\": \"pill\"},\n {\"box_2d\": [188, 414, 232, 457], \"label\": \"pill\"},\n {\"box_2d\": [181, 490, 225, 533], \"label\": \"pill\"},\n {\"box_2d\": [163, 577, 206, 621], \"label\": \"pill\"},\n {\"box_2d\": [165, 623, 209, 667], \"label\": \"pill\"},\n {\"box_2d\": [198, 661, 241, 706], \"label\": \"pill\"},\n {\"box_2d\": [263, 562, 307, 605], \"label\": \"pill\"},\n {\"box_2d\": [269, 606, 313, 649], \"label\": \"pill\"},\n {\"box_2d\": [298, 661, 342, 706], \"label\": \"pill\"},\n {\"box_2d\": [317, 591, 361, 635], \"label\": \"pill\"},\n {\"box_2d\": [343, 639, 386, 684], \"label\": \"pill\"},\n {\"box_2d\": [361, 708, 405, 753], \"label\": \"pill\"},\n {\"box_2d\": [321, 518, 365, 561], \"label\": \"pill\"},\n {\"box_2d\": [361, 499, 404, 542], \"label\": \"pill\"},\n {\"box_2d\": [360, 542, 403, 586], \"label\": \"pill\"},\n {\"box_2d\": [386, 579, 429, 623], \"label\": \"pill\"},\n {\"box_2d\": [387, 624, 430, 669], \"label\": \"pill\"},\n {\"box_2d\": [408, 667, 452, 712], \"label\": \"pill\"},\n {\"box_2d\": [455, 676, 499, 721], \"label\": \"pill\"},\n {\"box_2d\": [496, 634, 540, 679], \"label\": \"pill\"},\n {\"box_2d\": [485, 575, 529, 620], \"label\": \"pill\"},\n {\"box_2d\": [443, 586, 487, 631], \"label\": \"pill\"},\n {\"box_2d\": [423, 550, 466, 593], \"label\": \"pill\"},\n {\"box_2d\": [409, 510, 451, 553], \"label\": \"pill\"},\n {\"box_2d\": [451, 518, 495, 561], \"label\": \"pill\"},\n {\"box_2d\": [499, 486, 542, 530], \"label\": \"pill\"},\n {\"box_2d\": [602, 660, 648, 706], \"label\": \"pill\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 1542, "elapsed_seconds": 114.17811166599859, "metadata": {"match_method": "map", "num_predictions": 45, "num_ground_truth": 45, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 114.643}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 77, "image": "IMG_3989_JPG.rf.c4cc3b74f996b28db8e9373b455775a3.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [213, 338, 229, 346], \"label\": \"face\"},\n {\"box_2d\": [205, 311, 224, 321], \"label\": \"face\"},\n {\"box_2d\": [199, 277, 217, 286], \"label\": \"face\"},\n {\"box_2d\": [199, 249, 223, 258], \"label\": \"face\"},\n {\"box_2d\": [243, 468, 259, 476], \"label\": \"face\"},\n {\"box_2d\": [269, 461, 286, 470], \"label\": \"face\"},\n {\"box_2d\": [306, 383, 330, 394], \"label\": \"face\"},\n {\"box_2d\": [303, 333, 326, 344], \"label\": \"face\"},\n {\"box_2d\": [419, 415, 447, 429], \"label\": \"face\"},\n {\"box_2d\": [401, 599, 421, 610], \"label\": \"face\"},\n {\"box_2d\": [408, 623, 426, 634], \"label\": \"face\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 386, "elapsed_seconds": 77.65271920897067, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9108911156654358, "attempts": 1, "retries": 0, "total_seconds": 78.1328}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 78, "image": "basketball-player-detection_boston-celtics-new-york-knicks-game-4-q1-01-22-01-16-0112_png.rf.813de841eef35ee5de0aa209e2d3e51f.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [517, 400, 773, 452], \"label\": \"player\"},\n {\"box_2d\": [562, 431, 581, 444], \"label\": \"jersey number\"},\n {\"box_2d\": [397, 265, 415, 276], \"label\": \"jersey number\"},\n {\"box_2d\": [513, 720, 728, 787], \"label\": \"player\"},\n {\"box_2d\": [686, 577, 871, 623], \"label\": \"referee\"},\n {\"box_2d\": [278, 591, 463, 635], \"label\": \"player\"},\n {\"box_2d\": [336, 379, 355, 388], \"label\": \"jersey number\"},\n {\"box_2d\": [572, 754, 590, 761], \"label\": \"jersey number\"},\n {\"box_2d\": [291, 350, 491, 410], \"label\": \"player\"},\n {\"box_2d\": [627, 821, 823, 871], \"label\": \"player\"},\n {\"box_2d\": [244, 0, 434, 46], \"label\": \"referee\"},\n {\"box_2d\": [307, 178, 597, 227], \"label\": \"player\"},\n {\"box_2d\": [294, 217, 584, 319], \"label\": \"player\"},\n {\"box_2d\": [742, 597, 765, 608], \"label\": \"jersey number\"},\n {\"box_2d\": [219, 226, 251, 245], \"label\": \"basketball\"},\n {\"box_2d\": [694, 840, 721, 853], \"label\": \"jersey number\"},\n {\"box_2d\": [410, 182, 432, 188], \"label\": \"jersey number\"},\n {\"box_2d\": [230, 304, 419, 358], \"label\": \"player\"},\n {\"box_2d\": [294, 217, 584, 319], \"label\": \"player taking jump shot\"},\n {\"box_2d\": [271, 768, 459, 804], \"label\": \"referee\"},\n {\"box_2d\": [307, 178, 597, 227], \"label\": \"player taking jump shot\"},\n {\"box_2d\": [607, 250, 881, 316], \"label\": \"player\"},\n {\"box_2d\": [224, 610, 376, 646], \"label\": \"player\"},\n {\"box_2d\": [273, 628, 290, 634], \"label\": \"jersey number\"},\n {\"box_2d\": [225, 715, 242, 744], \"label\": \"basket rim\"},\n {\"box_2d\": [678, 279, 706, 290], \"label\": \"jersey number\"}\n]\n```", "correct": true, "input_tokens": 1251, "output_tokens": 912, "elapsed_seconds": 33.88893904094584, "metadata": {"match_method": "map", "num_predictions": 26, "num_ground_truth": 25, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8689035177230835, "attempts": 1, "retries": 0, "total_seconds": 34.0191}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 79, "image": "Screenshot-2024-05-16-150258_png.rf.730fbfcbd2cdbb24d8003d2a2cd88782.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [230, 901, 268, 945], \"label\": \"bullet hole\"},\n {\"box_2d\": [105, 896, 134, 926], \"label\": \"bullet hole\"},\n {\"box_2d\": [24, 882, 53, 916], \"label\": \"bullet hole\"},\n {\"box_2d\": [56, 767, 89, 801], \"label\": \"bullet hole\"},\n {\"box_2d\": [140, 814, 175, 851], \"label\": \"bullet hole\"},\n {\"box_2d\": [158, 682, 193, 718], \"label\": \"bullet hole\"},\n {\"box_2d\": [236, 738, 270, 773], \"label\": \"bullet hole\"},\n {\"box_2d\": [324, 796, 360, 838], \"label\": \"bullet hole\"},\n {\"box_2d\": [349, 976, 383, 999], \"label\": \"bullet hole\"},\n {\"box_2d\": [397, 725, 431, 765], \"label\": \"bullet hole\"},\n {\"box_2d\": [451, 820, 483, 854], \"label\": \"bullet hole\"},\n {\"box_2d\": [432, 617, 466, 657], \"label\": \"bullet hole\"},\n {\"box_2d\": [485, 695, 518, 735], \"label\": \"bullet hole\"},\n {\"box_2d\": [528, 787, 560, 830], \"label\": \"bullet hole\"},\n {\"box_2d\": [250, 481, 278, 512], \"label\": \"bullet hole\"},\n {\"box_2d\": [182, 345, 214, 377], \"label\": \"bullet hole\"},\n {\"box_2d\": [169, 191, 201, 226], \"label\": \"bullet hole\"},\n {\"box_2d\": [112, 101, 144, 135], \"label\": \"bullet hole\"},\n {\"box_2d\": [64, 13, 96, 44], \"label\": \"bullet hole\"},\n {\"box_2d\": [335, 0, 365, 24], \"label\": \"bullet hole\"},\n {\"box_2d\": [439, 224, 467, 254], \"label\": \"bullet hole\"},\n {\"box_2d\": [700, 416, 732, 450], \"label\": \"bullet hole\"},\n {\"box_2d\": [660, 684, 691, 718], \"label\": \"bullet hole\"},\n {\"box_2d\": [721, 892, 754, 929], \"label\": \"bullet hole\"},\n {\"box_2d\": [817, 845, 848, 879], \"label\": \"bullet hole\"},\n {\"box_2d\": [831, 928, 863, 962], \"label\": \"bullet hole\"},\n {\"box_2d\": [919, 919, 949, 953], \"label\": \"bullet hole\"},\n {\"box_2d\": [901, 610, 931, 643], \"label\": \"bullet hole\"},\n {\"box_2d\": [877, 355, 906, 389], \"label\": \"bullet hole\"},\n {\"box_2d\": [982, 184, 1000, 217], \"label\": \"bullet hole\"},\n {\"box_2d\": [0, 607, 27, 643], \"label\": \"bullet hole\"}\n]\n```", "correct": false, "input_tokens": 1226, "output_tokens": 1084, "elapsed_seconds": 10.810372999985702, "metadata": {"match_method": "map", "num_predictions": 31, "num_ground_truth": 30, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.607074499130249, "attempts": 1, "retries": 0, "total_seconds": 10.8262}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 80, "image": "AF6880-9_2025_NCPT-128_JPG_jpg.rf.58feab8edece278692e9ee124939da54.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [219, 197, 297, 224], \"label\": \"potato\"},\n {\"box_2d\": [32, 249, 84, 267], \"label\": \"potato\"},\n {\"box_2d\": [7, 322, 92, 359], \"label\": \"potato\"},\n {\"box_2d\": [92, 325, 169, 355], \"label\": \"potato\"},\n {\"box_2d\": [169, 326, 241, 355], \"label\": \"potato\"},\n {\"box_2d\": [151, 285, 239, 316], \"label\": \"potato\"},\n {\"box_2d\": [266, 241, 351, 265], \"label\": \"potato\"},\n {\"box_2d\": [304, 279, 381, 308], \"label\": \"potato\"},\n {\"box_2d\": [438, 194, 503, 222], \"label\": \"potato\"},\n {\"box_2d\": [507, 196, 574, 224], \"label\": \"potato\"},\n {\"box_2d\": [572, 189, 640, 222], \"label\": \"potato\"},\n {\"box_2d\": [644, 184, 731, 223], \"label\": \"potato\"},\n {\"box_2d\": [731, 189, 843, 232], \"label\": \"potato\"},\n {\"box_2d\": [416, 232, 517, 270], \"label\": \"potato\"},\n {\"box_2d\": [381, 275, 466, 314], \"label\": \"potato\"},\n {\"box_2d\": [336, 310, 456, 357], \"label\": \"potato\"},\n {\"box_2d\": [241, 328, 336, 360], \"label\": \"potato\"},\n {\"box_2d\": [169, 356, 292, 405], \"label\": \"potato\"},\n {\"box_2d\": [82, 368, 171, 405], \"label\": \"potato\"},\n {\"box_2d\": [30, 377, 82, 399], \"label\": \"potato\"},\n {\"box_2d\": [10, 409, 151, 455], \"label\": \"potato\"},\n {\"box_2d\": [72, 466, 114, 486], \"label\": \"potato\"},\n {\"box_2d\": [110, 456, 199, 490], \"label\": \"potato\"},\n {\"box_2d\": [154, 408, 261, 446], \"label\": \"potato\"},\n {\"box_2d\": [38, 504, 124, 537], \"label\": \"potato\"},\n {\"box_2d\": [124, 500, 216, 540], \"label\": \"potato\"},\n {\"box_2d\": [0, 540, 112, 589], \"label\": \"potato\"},\n {\"box_2d\": [112, 543, 217, 589], \"label\": \"potato\"},\n {\"box_2d\": [3, 590, 110, 633], \"label\": \"potato\"},\n {\"box_2d\": [40, 631, 139, 668], \"label\": \"potato\"},\n {\"box_2d\": [124, 589, 221, 630], \"label\": \"potato\"},\n {\"box_2d\": [214, 549, 289, 577], \"label\": \"potato\"},\n {\"box_2d\": [259, 503, 344, 538], \"label\": \"potato\"},\n {\"box_2d\": [289, 547, 373, 576], \"label\": \"potato\"},\n {\"box_2d\": [266, 451, 363, 491], \"label\": \"potato\"},\n {\"box_2d\": [281, 421, 316, 438], \"label\": \"potato\"},\n {\"box_2d\": [316, 409, 405, 444], \"label\": \"potato\"},\n {\"box_2d\": [319, 359, 421, 405], \"label\": \"potato\"},\n {\"box_2d\": [421, 352, 527, 401], \"label\": \"potato\"},\n {\"box_2d\": [495, 273, 585, 310], \"label\": \"potato\"},\n {\"box_2d\": [572, 229, 651, 266], \"label\": \"potato\"},\n {\"box_2d\": [585, 281, 639, 307], \"label\": \"potato\"},\n {\"box_2d\": [639, 273, 722, 310], \"label\": \"potato\"},\n {\"box_2d\": [505, 316, 595, 359], \"label\": \"potato\"},\n {\"box_2d\": [528, 367, 610, 402], \"label\": \"potato\"},\n {\"box_2d\": [443, 408, 550, 451], \"label\": \"potato\"},\n {\"box_2d\": [408, 447, 508, 489], \"label\": \"potato\"},\n {\"box_2d\": [365, 496, 467, 534], \"label\": \"potato\"},\n {\"box_2d\": [393, 541, 493, 577], \"label\": \"potato\"},\n {\"box_2d\": [401, 589, 503, 623], \"label\": \"potato\"},\n {\"box_2d\": [493, 626, 599, 659], \"label\": \"potato\"},\n {\"box_2d\": [609, 631, 714, 664], \"label\": \"potato\"},\n {\"box_2d\": [512, 680, 570, 701], \"label\": \"potato\"},\n {\"box_2d\": [480, 708, 580, 746], \"label\": \"potato\"},\n {\"box_2d\": [217, 672, 333, 715], \"label\": \"potato\"},\n {\"box_2d\": [211, 720, 303, 755], \"label\": \"potato\"},\n {\"box_2d\": [95, 722, 157, 749], \"label\": \"potato\"},\n {\"box_2d\": [117, 761, 236, 811], \"label\": \"potato\"},\n {\"box_2d\": [498, 533, 614, 575], \"label\": \"potato\"},\n {\"box_2d\": [468, 500, 554, 533], \"label\": \"potato\"},\n {\"box_2d\": [559, 497, 640, 526], \"label\": \"potato\"},\n {\"box_2d\": [508, 452, 580, 486], \"label\": \"potato\"},\n {\"box_2d\": [580, 451, 687, 494], \"label\": \"potato\"},\n {\"box_2d\": [605, 317, 721, 363], \"label\": \"potato\"},\n {\"box_2d\": [716, 316, 794, 350], \"label\": \"potato\"},\n {\"box_2d\": [794, 321, 903, 362], \"label\": \"potato\"},\n {\"box_2d\": [855, 271, 970, 316], \"label\": \"potato\"},\n {\"box_2d\": [906, 224, 998, 265], \"label\": \"potato\"},\n {\"box_2d\": [911, 322, 985, 350], \"label\": \"potato\"},\n {\"box_2d\": [729, 365, 841, 399], \"label\": \"potato\"},\n {\"box_2d\": [838, 369, 898, 389], \"label\": \"potato\"},\n {\"box_2d\": [666, 405, 783, 447], \"label\": \"potato\"},\n {\"box_2d\": [781, 411, 843, 436], \"label\": \"potato\"},\n {\"box_2d\": [841, 410, 926, 439], \"label\": \"potato\"},\n {\"box_2d\": [687, 448, 789, 488], \"label\": \"potato\"},\n {\"box_2d\": [826, 446, 923, 484], \"label\": \"potato\"},\n {\"box_2d\": [933, 452, 998, 483], \"label\": \"potato\"},\n {\"box_2d\": [844, 485, 950, 531], \"label\": \"potato\"},\n {\"box_2d\": [689, 540, 796, 582], \"label\": \"potato\"},\n {\"box_2d\": [886, 585, 968, 611], \"label\": \"potato\"},\n {\"box_2d\": [774, 675, 836, 697], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 2748, "elapsed_seconds": 170.18294608406723, "metadata": {"match_method": "map", "num_predictions": 81, "num_ground_truth": 82, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9801980257034302, "attempts": 1, "retries": 0, "total_seconds": 170.8916}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 81, "image": "GP010253_JPG_jpg.rf.617173565602dbb2684e6af5ddab9032.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [727, 697, 888, 864], \"label\": \"carrot\"},\n {\"box_2d\": [545, 686, 814, 756], \"label\": \"carrot\"},\n {\"box_2d\": [636, 628, 841, 717], \"label\": \"carrot\"},\n {\"box_2d\": [559, 614, 812, 653], \"label\": \"carrot\"},\n {\"box_2d\": [455, 542, 738, 628], \"label\": \"carrot\"},\n {\"box_2d\": [566, 522, 789, 573], \"label\": \"carrot\"},\n {\"box_2d\": [489, 434, 767, 494], \"label\": \"carrot\"},\n {\"box_2d\": [484, 428, 667, 525], \"label\": \"carrot\"},\n {\"box_2d\": [484, 348, 558, 561], \"label\": \"carrot\"},\n {\"box_2d\": [447, 305, 639, 370], \"label\": \"carrot\"},\n {\"box_2d\": [412, 725, 645, 798], \"label\": \"carrot\"},\n {\"box_2d\": [311, 608, 438, 800], \"label\": \"carrot\"},\n {\"box_2d\": [306, 481, 464, 784], \"label\": \"carrot\"},\n {\"box_2d\": [288, 509, 405, 773], \"label\": \"carrot\"},\n {\"box_2d\": [278, 383, 469, 572], \"label\": \"carrot\"},\n {\"box_2d\": [180, 355, 358, 495], \"label\": \"carrot\"},\n {\"box_2d\": [189, 394, 330, 514], \"label\": \"carrot\"},\n {\"box_2d\": [194, 650, 312, 861], \"label\": \"carrot\"},\n {\"box_2d\": [186, 412, 306, 709], \"label\": \"carrot\"},\n {\"box_2d\": [158, 400, 269, 695], \"label\": \"carrot\"},\n {\"box_2d\": [138, 561, 205, 858], \"label\": \"carrot\"},\n {\"box_2d\": [50, 541, 180, 872], \"label\": \"carrot\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 759, "elapsed_seconds": 10.661439749994315, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 10.6879}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 82, "image": "1704195139272_jpg.rf.6a6621507dbbf3a3fbb417d17569c709.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [744, 728, 786, 780], \"label\": \"lentil grain\"},\n {\"box_2d\": [672, 611, 712, 656], \"label\": \"lentil grain\"},\n {\"box_2d\": [739, 389, 775, 430], \"label\": \"lentil grain\"},\n {\"box_2d\": [900, 403, 942, 447], \"label\": \"lentil grain\"},\n {\"box_2d\": [544, 422, 580, 462], \"label\": \"lentil grain\"},\n {\"box_2d\": [392, 380, 433, 420], \"label\": \"lentil grain\"},\n {\"box_2d\": [411, 562, 450, 608], \"label\": \"lentil grain\"},\n {\"box_2d\": [409, 619, 445, 662], \"label\": \"lentil grain\"},\n {\"box_2d\": [219, 570, 262, 617], \"label\": \"lentil grain\"},\n {\"box_2d\": [216, 344, 256, 386], \"label\": \"lentil grain\"},\n {\"box_2d\": [84, 662, 125, 709], \"label\": \"lentil grain\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 407, "elapsed_seconds": 19.09492591698654, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 19.1106}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 83, "image": "preannot1_326_png.rf.9e036dcc9355b37dec6ff1b3aff71d0b.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [59, 608, 76, 639], \"label\": \"tire spike normal\"},\n {\"box_2d\": [103, 353, 121, 381], \"label\": \"tire spike normal\"},\n {\"box_2d\": [138, 323, 155, 352], \"label\": \"tire spike normal\"},\n {\"box_2d\": [162, 535, 183, 567], \"label\": \"tire spike normal\"},\n {\"box_2d\": [181, 614, 199, 646], \"label\": \"tire spike normal\"},\n {\"box_2d\": [209, 434, 229, 466], \"label\": \"tire spike normal\"},\n {\"box_2d\": [227, 356, 246, 391], \"label\": \"tire spike normal\"},\n {\"box_2d\": [221, 661, 241, 694], \"label\": \"tire spike normal\"},\n {\"box_2d\": [268, 310, 290, 344], \"label\": \"tire spike normal\"},\n {\"box_2d\": [275, 614, 297, 649], \"label\": \"tire spike normal\"},\n {\"box_2d\": [329, 352, 349, 386], \"label\": \"tire spike normal\"},\n {\"box_2d\": [319, 650, 344, 686], \"label\": \"tire spike normal\"},\n {\"box_2d\": [382, 623, 405, 661], \"label\": \"tire spike normal\"},\n {\"box_2d\": [422, 429, 446, 464], \"label\": \"tire spike normal\"},\n {\"box_2d\": [434, 322, 456, 359], \"label\": \"tire spike normal\"},\n {\"box_2d\": [490, 320, 509, 353], \"label\": \"tire spike normal\"},\n {\"box_2d\": [553, 359, 576, 396], \"label\": \"tire spike normal\"},\n {\"box_2d\": [606, 324, 628, 359], \"label\": \"tire spike normal\"},\n {\"box_2d\": [595, 545, 617, 579], \"label\": \"tire spike normal\"},\n {\"box_2d\": [607, 636, 629, 673], \"label\": \"tire spike normal\"},\n {\"box_2d\": [658, 669, 680, 703], \"label\": \"tire spike normal\"},\n {\"box_2d\": [723, 643, 745, 675], \"label\": \"tire spike normal\"},\n {\"box_2d\": [708, 424, 728, 453], \"label\": \"tire spike normal\"},\n {\"box_2d\": [734, 366, 755, 396], \"label\": \"tire spike normal\"},\n {\"box_2d\": [773, 314, 791, 343], \"label\": \"tire spike normal\"},\n {\"box_2d\": [774, 670, 792, 699], \"label\": \"tire spike normal\"},\n {\"box_2d\": [830, 623, 847, 653], \"label\": \"tire spike normal\"},\n {\"box_2d\": [858, 444, 876, 474], \"label\": \"tire spike normal\"},\n {\"box_2d\": [871, 378, 888, 404], \"label\": \"tire spike normal\"},\n {\"box_2d\": [895, 344, 909, 369], \"label\": \"tire spike normal\"},\n {\"box_2d\": [892, 668, 909, 696], \"label\": \"tire spike normal\"},\n {\"box_2d\": [502, 617, 523, 650], \"label\": \"tire spike normal\"}\n]\n```", "correct": false, "input_tokens": 1202, "output_tokens": 1162, "elapsed_seconds": 30.55649945908226, "metadata": {"match_method": "map", "num_predictions": 32, "num_ground_truth": 42, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.2144414484500885, "attempts": 1, "retries": 0, "total_seconds": 30.6813}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 84, "image": "fall-detection_cameraOne-blue-before_mp4-10_jpg.rf.e26a811f1502cc342db7badfe48642d4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [581, 535, 725, 730], \"label\": \"fallen person\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 47, "elapsed_seconds": 9.620612291968428, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 9.6385}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 85, "image": "IMG_3898_JPG.rf.7efec82c7f803d0db60f9543524df2d2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [751, 446, 902, 632], \"label\": \"5 poker chip\"},\n {\"box_2d\": [380, 455, 478, 600], \"label\": \"5 poker chip\"},\n {\"box_2d\": [363, 315, 459, 458], \"label\": \"10 poker chip\"},\n {\"box_2d\": [639, 360, 773, 533], \"label\": \"10 poker chip\"},\n {\"box_2d\": [680, 597, 820, 778], \"label\": \"10 poker chip\"},\n {\"box_2d\": [486, 237, 595, 394], \"label\": \"20 poker chip\"},\n {\"box_2d\": [414, 145, 515, 294], \"label\": \"50 poker chip\"},\n {\"box_2d\": [465, 392, 573, 545], \"label\": \"50 poker chip\"},\n {\"box_2d\": [551, 474, 671, 637], \"label\": \"50 poker chip\"},\n {\"box_2d\": [302, 610, 393, 753], \"label\": \"100 poker chip\"},\n {\"box_2d\": [355, 734, 451, 882], \"label\": \"100 poker chip\"},\n {\"box_2d\": [330, 81, 422, 222], \"label\": \"100 poker chip\"},\n {\"box_2d\": [307, 221, 397, 360], \"label\": \"500 poker chip\"},\n {\"box_2d\": [396, 604, 495, 754], \"label\": \"500 poker chip\"},\n {\"box_2d\": [595, 211, 720, 379], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [493, 605, 605, 767], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [588, 703, 713, 875], \"label\": \"10000 poker chip\"}\n]\n```", "correct": true, "input_tokens": 1252, "output_tokens": 650, "elapsed_seconds": 228.31256966595538, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 18, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9579207897186279, "attempts": 1, "retries": 0, "total_seconds": 229.1805}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 86, "image": "2024-12-05T02-00-59-875Z-1008_jpg.rf.e6de2a9a15084a14389fc0bcc250e3a1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [291, 459, 378, 520], \"label\": \"screw\"},\n {\"box_2d\": [742, 792, 807, 836], \"label\": \"screw\"},\n {\"box_2d\": [637, 932, 699, 976], \"label\": \"screw\"},\n {\"box_2d\": [641, 827, 797, 939], \"label\": \"wire hole\"}\n]\n```", "correct": true, "input_tokens": 1203, "output_tokens": 149, "elapsed_seconds": 39.80349724995904, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 6, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8019801378250122, "attempts": 1, "retries": 0, "total_seconds": 40.027}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 87, "image": "IMG_20220316_165535_jpg.rf.b4968ac9965090df369ee94c30225977.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [39, 540, 381, 796], \"label\": \"jack of diamonds\"},\n {\"box_2d\": [108, 309, 476, 591], \"label\": \"nine of diamonds\"},\n {\"box_2d\": [378, 176, 709, 478], \"label\": \"king of diamonds\"},\n {\"box_2d\": [630, 108, 974, 427], \"label\": \"ten of diamonds\"},\n {\"box_2d\": [418, 471, 822, 728], \"label\": \"queen of diamonds\"}\n]\n```", "correct": true, "input_tokens": 1218, "output_tokens": 191, "elapsed_seconds": 7.11679624998942, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 7.1539}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 88, "image": "F64FE944-4E23-4E33-ABE4-44B45EEE879E_jpg.rf.4a9fc6077618a5882fd446c7da6c295e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [736, 94, 797, 198], \"label\": \"pill\"},\n {\"box_2d\": [682, 162, 779, 245], \"label\": \"pill\"},\n {\"box_2d\": [679, 217, 745, 321], \"label\": \"pill\"},\n {\"box_2d\": [725, 298, 788, 404], \"label\": \"pill\"},\n {\"box_2d\": [664, 358, 749, 453], \"label\": \"pill\"},\n {\"box_2d\": [638, 270, 675, 378], \"label\": \"pill\"},\n {\"box_2d\": [592, 290, 643, 396], \"label\": \"pill\"},\n {\"box_2d\": [589, 179, 672, 276], \"label\": \"pill\"},\n {\"box_2d\": [513, 127, 590, 228], \"label\": \"pill\"},\n {\"box_2d\": [433, 129, 521, 222], \"label\": \"pill\"},\n {\"box_2d\": [380, 187, 484, 251], \"label\": \"pill\"},\n {\"box_2d\": [287, 154, 393, 209], \"label\": \"pill\"},\n {\"box_2d\": [276, 208, 383, 270], \"label\": \"pill\"},\n {\"box_2d\": [176, 163, 281, 238], \"label\": \"pill\"},\n {\"box_2d\": [186, 237, 290, 315], \"label\": \"pill\"},\n {\"box_2d\": [137, 297, 248, 351], \"label\": \"pill\"},\n {\"box_2d\": [243, 326, 323, 429], \"label\": \"pill\"},\n {\"box_2d\": [184, 390, 285, 474], \"label\": \"pill\"},\n {\"box_2d\": [168, 524, 276, 597], \"label\": \"pill\"},\n {\"box_2d\": [259, 487, 369, 547], \"label\": \"pill\"},\n {\"box_2d\": [285, 417, 389, 490], \"label\": \"pill\"},\n {\"box_2d\": [289, 289, 379, 384], \"label\": \"pill\"},\n {\"box_2d\": [349, 240, 446, 323], \"label\": \"pill\"},\n {\"box_2d\": [386, 275, 480, 363], \"label\": \"pill\"},\n {\"box_2d\": [359, 370, 458, 450], \"label\": \"pill\"},\n {\"box_2d\": [477, 256, 583, 315], \"label\": \"pill\"},\n {\"box_2d\": [476, 311, 582, 370], \"label\": \"pill\"},\n {\"box_2d\": [456, 375, 550, 460], \"label\": \"pill\"},\n {\"box_2d\": [549, 391, 612, 495], \"label\": \"pill\"},\n {\"box_2d\": [488, 467, 555, 570], \"label\": \"pill\"},\n {\"box_2d\": [445, 504, 515, 606], \"label\": \"pill\"},\n {\"box_2d\": [356, 559, 463, 620], \"label\": \"pill\"},\n {\"box_2d\": [363, 620, 471, 680], \"label\": \"pill\"},\n {\"box_2d\": [300, 691, 386, 794], \"label\": \"pill\"},\n {\"box_2d\": [369, 841, 479, 900], \"label\": \"pill\"},\n {\"box_2d\": [431, 667, 517, 766], \"label\": \"pill\"},\n {\"box_2d\": [507, 634, 613, 697], \"label\": \"pill\"},\n {\"box_2d\": [555, 695, 612, 806], \"label\": \"pill\"},\n {\"box_2d\": [532, 522, 616, 618], \"label\": \"pill\"},\n {\"box_2d\": [597, 458, 675, 558], \"label\": \"pill\"},\n {\"box_2d\": [630, 424, 718, 518], \"label\": \"pill\"},\n {\"box_2d\": [723, 467, 808, 563], \"label\": \"pill\"},\n {\"box_2d\": [782, 412, 837, 518], \"label\": \"pill\"},\n {\"box_2d\": [718, 543, 809, 634], \"label\": \"pill\"},\n {\"box_2d\": [624, 535, 720, 620], \"label\": \"pill\"},\n {\"box_2d\": [575, 591, 668, 681], \"label\": \"pill\"},\n {\"box_2d\": [696, 631, 792, 721], \"label\": \"pill\"},\n {\"box_2d\": [691, 693, 783, 789], \"label\": \"pill\"},\n {\"box_2d\": [679, 755, 734, 866], \"label\": \"pill\"},\n {\"box_2d\": [797, 738, 892, 830], \"label\": \"pill\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 1711, "elapsed_seconds": 74.80057733296417, "metadata": {"match_method": "map", "num_predictions": 50, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 75.4082}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 89, "image": "20210326_152417_jpg.rf.49d888684dcb029777f91a35c5731fda.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [514, 678, 675, 839], \"label\": \"1 euro cent coin\"},\n {\"box_2d\": [723, 577, 906, 759], \"label\": \"2 euro cent coin\"},\n {\"box_2d\": [420, 80, 628, 294], \"label\": \"5 euro cent coin\"},\n {\"box_2d\": [200, 127, 398, 323], \"label\": \"10 euro cent coin\"},\n {\"box_2d\": [103, 369, 327, 591], \"label\": \"20 euro cent coin\"},\n {\"box_2d\": [203, 645, 447, 889], \"label\": \"50 euro cent coin\"},\n {\"box_2d\": [378, 395, 611, 628], \"label\": \"1 euro coin\"},\n {\"box_2d\": [653, 238, 903, 491], \"label\": \"2 euro coin\"}\n]\n```", "correct": true, "input_tokens": 1272, "output_tokens": 308, "elapsed_seconds": 8.022644000011496, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 8.0496}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 90, "image": "egg-detection_image33_jpg.rf.842de73d6f921d804acd1ea8a1f28413.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [746, 694, 822, 753], \"label\": \"egg\"},\n {\"box_2d\": [468, 428, 553, 491], \"label\": \"egg\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 80, "elapsed_seconds": 13.036149207968265, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 13.1736}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 91, "image": "uav20221018_ixfZ_3857_215_png.rf.8020e1329eefd7e68bf3f7c0394e8bdf.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [773, 782, 795, 811], \"label\": \"banana tree\"},\n {\"box_2d\": [704, 780, 736, 815], \"label\": \"banana tree\"},\n {\"box_2d\": [805, 720, 845, 767], \"label\": \"banana tree\"},\n {\"box_2d\": [737, 725, 764, 756], \"label\": \"banana tree\"},\n {\"box_2d\": [808, 978, 839, 998], \"label\": \"banana tree\"},\n {\"box_2d\": [742, 971, 774, 998], \"label\": \"banana tree\"},\n {\"box_2d\": [666, 971, 703, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [595, 960, 650, 999], \"label\": \"banana tree\"},\n {\"box_2d\": [619, 770, 661, 807], \"label\": \"banana tree\"},\n {\"box_2d\": [665, 722, 695, 752], \"label\": \"banana tree\"},\n {\"box_2d\": [556, 773, 591, 809], \"label\": \"banana tree\"},\n {\"box_2d\": [525, 723, 559, 750], \"label\": \"banana tree\"},\n {\"box_2d\": [489, 772, 520, 804], \"label\": \"banana tree\"},\n {\"box_2d\": [453, 956, 502, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [407, 757, 451, 804], \"label\": \"banana tree\"},\n {\"box_2d\": [373, 705, 412, 739], \"label\": \"banana tree\"},\n {\"box_2d\": [324, 950, 369, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [306, 697, 349, 750], \"label\": \"banana tree\"},\n {\"box_2d\": [266, 756, 306, 789], \"label\": \"banana tree\"},\n {\"box_2d\": [254, 949, 294, 998], \"label\": \"banana tree\"},\n {\"box_2d\": [232, 687, 279, 736], \"label\": \"banana tree\"},\n {\"box_2d\": [191, 951, 229, 995], \"label\": \"banana tree\"},\n {\"box_2d\": [191, 746, 236, 795], \"label\": \"banana tree\"},\n {\"box_2d\": [163, 693, 212, 745], \"label\": \"banana tree\"},\n {\"box_2d\": [117, 951, 168, 997], \"label\": \"banana tree\"},\n {\"box_2d\": [120, 746, 174, 787], \"label\": \"banana tree\"},\n {\"box_2d\": [86, 686, 134, 731], \"label\": \"banana tree\"},\n {\"box_2d\": [50, 943, 98, 998], \"label\": \"banana tree\"},\n {\"box_2d\": [52, 744, 93, 788], \"label\": \"banana tree\"},\n {\"box_2d\": [13, 686, 72, 730], \"label\": \"banana tree\"},\n {\"box_2d\": [341, 761, 381, 794], \"label\": \"banana tree\"},\n {\"box_2d\": [879, 976, 916, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [841, 777, 864, 807], \"label\": \"banana tree\"},\n {\"box_2d\": [878, 722, 922, 769], \"label\": \"banana tree\"},\n {\"box_2d\": [914, 787, 937, 822], \"label\": \"banana tree\"},\n {\"box_2d\": [937, 734, 976, 768], \"label\": \"banana tree\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 1269, "elapsed_seconds": 116.2176916670287, "metadata": {"match_method": "map", "num_predictions": 36, "num_ground_truth": 41, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8712871074676514, "attempts": 1, "retries": 0, "total_seconds": 116.322}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 92, "image": "DJI_0151_JPG_jpg.rf.3936c799be65e9829061aeb413261c06.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [482, 342, 681, 408], \"label\": \"excavator\"},\n {\"box_2d\": [161, 338, 211, 391], \"label\": \"dump truck\"},\n {\"box_2d\": [158, 434, 212, 487], \"label\": \"concrete mixer\"},\n {\"box_2d\": [126, 61, 173, 108], \"label\": \"concrete mixer\"},\n {\"box_2d\": [0, 628, 496, 709], \"label\": \"tower crane\"}\n]\n```", "correct": true, "input_tokens": 1245, "output_tokens": 185, "elapsed_seconds": 69.21287283301353, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 69.748}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 93, "image": "55_jpeg_jpg.rf.004155dfb8cf69dfe8eec1fad7b643e0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [715, 0, 796, 98], \"label\": \"potato\"},\n {\"box_2d\": [66, 322, 181, 434], \"label\": \"potato\"},\n {\"box_2d\": [695, 352, 850, 432], \"label\": \"potato\"},\n {\"box_2d\": [902, 369, 988, 456], \"label\": \"potato\"},\n {\"box_2d\": [885, 617, 980, 718], \"label\": \"potato\"},\n {\"box_2d\": [709, 586, 801, 680], \"label\": \"potato\"},\n {\"box_2d\": [678, 842, 779, 919], \"label\": \"potato\"},\n {\"box_2d\": [480, 811, 574, 909], \"label\": \"potato\"},\n {\"box_2d\": [480, 648, 578, 747], \"label\": \"potato\"},\n {\"box_2d\": [480, 521, 619, 634], \"label\": \"potato\"},\n {\"box_2d\": [248, 805, 385, 909], \"label\": \"potato\"},\n {\"box_2d\": [62, 914, 174, 1000], \"label\": \"potato\"}\n]\n```", "correct": false, "input_tokens": 1240, "output_tokens": 416, "elapsed_seconds": 35.36290145898238, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7524752616882324, "attempts": 1, "retries": 0, "total_seconds": 35.4042}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 94, "image": "2024-12-05T02-01-39-892Z-3009_jpg.rf.22fd37099b783ab1f80e4172f8bb073a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [553, 309, 675, 412], \"label\": \"retaining clip\"},\n {\"box_2d\": [461, 493, 594, 594], \"label\": \"retaining clip\"},\n {\"box_2d\": [366, 667, 485, 767], \"label\": \"retaining clip\"},\n {\"box_2d\": [647, 634, 779, 738], \"label\": \"retaining clip\"}\n]\n```", "correct": true, "input_tokens": 1201, "output_tokens": 156, "elapsed_seconds": 114.07691495888866, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 114.3605}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 95, "image": "IMG_20251126_160341_jpg.rf.90a2111f9611ba9b2da6fb1312d0ef72.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 336, 200, 426], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [654, 922, 750, 995], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [653, 830, 751, 905], \"label\": \"white standard price tag\"},\n {\"box_2d\": [663, 699, 758, 771], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [661, 588, 761, 661], \"label\": \"white standard price tag\"},\n {\"box_2d\": [651, 489, 938, 563], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [678, 386, 774, 456], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [683, 297, 780, 368], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [691, 206, 789, 276], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [690, 108, 795, 179], \"label\": \"yellow standard price tag\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 380, "elapsed_seconds": 49.44336704094894, "metadata": {"match_method": "map", "num_predictions": 10, "num_ground_truth": 10, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 49.8037}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 96, "image": "tile_267_jpg.rf.d3e282883cf21b5fa393f473090fd4b9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [296, 519, 540, 704], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [41, 315, 281, 499], \"label\": \"ship in SAR satellite image\"}\n]\n```", "correct": false, "input_tokens": 1229, "output_tokens": 87, "elapsed_seconds": 6.598685083095916, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5049505233764648, "attempts": 1, "retries": 0, "total_seconds": 6.6321}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 97, "image": "IMG_20250815_165441_jpg.rf.4c737e973da64b017b0e386f2b455f62.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [771, 706, 851, 745], \"label\": \"barcode\"},\n {\"box_2d\": [828, 256, 865, 304], \"label\": \"barcode\"},\n {\"box_2d\": [741, 551, 825, 594], \"label\": \"barcode\"},\n {\"box_2d\": [681, 66, 720, 117], \"label\": \"barcode\"},\n {\"box_2d\": [213, 180, 310, 232], \"label\": \"barcode\"},\n {\"box_2d\": [219, 444, 312, 491], \"label\": \"barcode\"},\n {\"box_2d\": [194, 629, 234, 671], \"label\": \"barcode\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 249, "elapsed_seconds": 27.42727629095316, "metadata": {"match_method": "map", "num_predictions": 7, "num_ground_truth": 7, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 27.834}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 98, "image": "Lego_63_low_jpeg.rf.6dd24c9abacc96bac5fb5a7d9ce3f907.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [58, 671, 149, 777], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [27, 753, 130, 822], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [99, 428, 206, 530], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [46, 198, 135, 294], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [182, 104, 269, 190], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [202, 12, 308, 105], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [215, 353, 282, 454], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [280, 316, 339, 405], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [396, 318, 465, 429], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [498, 372, 594, 431], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [582, 323, 669, 412], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [580, 253, 664, 332], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [674, 414, 767, 513], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [776, 422, 860, 532], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [827, 266, 906, 365], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [765, 86, 854, 180], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [623, 44, 726, 144], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [471, 538, 571, 610], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [294, 581, 396, 651], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [168, 672, 263, 713], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [173, 710, 250, 762], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [222, 795, 310, 875], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [202, 864, 300, 938], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [413, 789, 492, 854], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [447, 725, 519, 777], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [459, 835, 533, 916], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [607, 579, 709, 662], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [712, 588, 749, 682], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [671, 673, 750, 735], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [711, 731, 796, 808], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [680, 778, 728, 873], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [745, 789, 845, 886], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [606, 907, 696, 1000], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [670, 963, 748, 1000], \"label\": \"lego 4x1 brick\"}\n]\n```", "correct": true, "input_tokens": 1244, "output_tokens": 1333, "elapsed_seconds": 18.848369290935807, "metadata": {"match_method": "map", "num_predictions": 34, "num_ground_truth": 34, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9069907069206238, "attempts": 1, "retries": 0, "total_seconds": 18.9381}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 99, "image": "frame_0085_jpg.rf.df2f77641da4fa475877d40e14103949.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [132, 229, 198, 268], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [24, 246, 75, 290], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [41, 138, 107, 181], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [139, 111, 206, 152], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [261, 128, 326, 174], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [271, 229, 340, 270], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [160, 344, 219, 381], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [49, 339, 118, 384], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [228, 427, 307, 469], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [315, 353, 377, 392], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [437, 356, 499, 394], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [418, 232, 487, 281], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [377, 106, 451, 160], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [463, 106, 535, 156], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [591, 84, 672, 135], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [676, 228, 780, 272], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [703, 346, 796, 389], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [528, 338, 597, 385], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [423, 467, 485, 505], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [341, 551, 404, 586], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [182, 610, 235, 642], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [368, 675, 434, 710], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [637, 471, 745, 521], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [779, 576, 850, 618], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [864, 471, 919, 515], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [847, 339, 932, 388], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [886, 211, 962, 258], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [791, 77, 886, 142], \"label\": \"garlic on conveyor\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 1014, "elapsed_seconds": 23.48285291600041, "metadata": {"match_method": "map", "num_predictions": 28, "num_ground_truth": 28, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 23.6158}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 100, "image": "basketball-player-detection_boston-celtics-new-york-knicks-game-4-q1-00-05-00-01-0115_png.rf.268163bdbdd382dbeaa9df9d19cf50ae.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [771, 180, 800, 195], \"label\": \"jersey number\"},\n {\"box_2d\": [704, 167, 956, 236], \"label\": \"player\"},\n {\"box_2d\": [721, 297, 881, 326], \"label\": \"referee\"},\n {\"box_2d\": [540, 360, 761, 404], \"label\": \"player\"},\n {\"box_2d\": [323, 108, 456, 159], \"label\": \"player\"},\n {\"box_2d\": [357, 165, 372, 178], \"label\": \"jersey number\"},\n {\"box_2d\": [308, 152, 517, 195], \"label\": \"player\"},\n {\"box_2d\": [283, 339, 456, 379], \"label\": \"referee\"},\n {\"box_2d\": [368, 536, 386, 543], \"label\": \"jersey number\"},\n {\"box_2d\": [319, 522, 490, 567], \"label\": \"player\"},\n {\"box_2d\": [384, 564, 405, 577], \"label\": \"jersey number\"},\n {\"box_2d\": [341, 545, 535, 611], \"label\": \"player\"},\n {\"box_2d\": [454, 710, 635, 756], \"label\": \"player\"},\n {\"box_2d\": [504, 745, 524, 759], \"label\": \"jersey number\"},\n {\"box_2d\": [451, 738, 678, 777], \"label\": \"player\"},\n {\"box_2d\": [562, 749, 789, 808], \"label\": \"player\"},\n {\"box_2d\": [669, 849, 695, 860], \"label\": \"jersey number\"},\n {\"box_2d\": [610, 811, 845, 872], \"label\": \"player\"},\n {\"box_2d\": [296, 711, 348, 750], \"label\": \"basket rim\"}\n]\n```", "correct": false, "input_tokens": 1250, "output_tokens": 667, "elapsed_seconds": 16.815997417084873, "metadata": {"match_method": "map", "num_predictions": 19, "num_ground_truth": 25, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3605610430240631, "attempts": 1, "retries": 0, "total_seconds": 16.9472}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 101, "image": "construction-safety_ppe_0720_jpg.rf.cfd070890ac09790250bebd1b430d69f.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [235, 0, 991, 86], \"label\": \"person\"},\n {\"box_2d\": [117, 738, 198, 804], \"label\": \"safety helmet\"},\n {\"box_2d\": [138, 868, 997, 1000], \"label\": \"person\"},\n {\"box_2d\": [324, 483, 576, 567], \"label\": \"safety vest\"},\n {\"box_2d\": [307, 885, 670, 1000], \"label\": \"safety vest\"},\n {\"box_2d\": [315, 825, 639, 902], \"label\": \"safety vest\"},\n {\"box_2d\": [244, 562, 989, 670], \"label\": \"person\"},\n {\"box_2d\": [206, 180, 272, 232], \"label\": \"safety helmet\"},\n {\"box_2d\": [355, 567, 599, 650], \"label\": \"safety vest\"},\n {\"box_2d\": [117, 738, 997, 845], \"label\": \"person\"},\n {\"box_2d\": [195, 655, 997, 756], \"label\": \"person\"},\n {\"box_2d\": [181, 838, 261, 901], \"label\": \"safety helmet\"},\n {\"box_2d\": [195, 676, 264, 729], \"label\": \"safety helmet\"},\n {\"box_2d\": [206, 491, 275, 540], \"label\": \"safety helmet\"},\n {\"box_2d\": [241, 575, 307, 626], \"label\": \"safety helmet\"},\n {\"box_2d\": [186, 325, 255, 377], \"label\": \"safety helmet\"},\n {\"box_2d\": [235, 11, 298, 60], \"label\": \"safety helmet\"},\n {\"box_2d\": [266, 258, 338, 305], \"label\": \"safety helmet\"},\n {\"box_2d\": [355, 0, 622, 79], \"label\": \"safety vest\"},\n {\"box_2d\": [321, 168, 596, 253], \"label\": \"safety vest\"},\n {\"box_2d\": [209, 395, 980, 495], \"label\": \"person\"},\n {\"box_2d\": [149, 807, 223, 854], \"label\": \"safety helmet\"},\n {\"box_2d\": [289, 75, 989, 179], \"label\": \"person\"},\n {\"box_2d\": [186, 293, 989, 405], \"label\": \"person\"},\n {\"box_2d\": [252, 744, 550, 835], \"label\": \"safety vest\"},\n {\"box_2d\": [206, 477, 974, 573], \"label\": \"person\"},\n {\"box_2d\": [183, 822, 997, 906], \"label\": \"person\"},\n {\"box_2d\": [327, 661, 602, 746], \"label\": \"safety vest\"},\n {\"box_2d\": [149, 807, 963, 860], \"label\": \"person\"},\n {\"box_2d\": [401, 79, 650, 165], \"label\": \"safety vest\"},\n {\"box_2d\": [289, 93, 355, 144], \"label\": \"safety helmet\"},\n {\"box_2d\": [321, 309, 579, 403], \"label\": \"safety vest\"},\n {\"box_2d\": [264, 240, 974, 323], \"label\": \"person\"},\n {\"box_2d\": [321, 402, 596, 487], \"label\": \"safety vest\"},\n {\"box_2d\": [206, 419, 275, 469], \"label\": \"safety helmet\"},\n {\"box_2d\": [140, 901, 229, 982], \"label\": \"safety helmet\"},\n {\"box_2d\": [381, 250, 616, 315], \"label\": \"safety vest\"},\n {\"box_2d\": [206, 159, 986, 273], \"label\": \"person\"}\n]\n```", "correct": true, "input_tokens": 1198, "output_tokens": 1320, "elapsed_seconds": 48.51144000003114, "metadata": {"match_method": "map", "num_predictions": 38, "num_ground_truth": 38, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9695354104042053, "attempts": 1, "retries": 0, "total_seconds": 48.5459}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 102, "image": "fabric-defect_1213_jpg.rf.f4cb351d5d6f226d23075b9a6a549416.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [468, 725, 588, 775], \"label\": \"fabric cut\"}\n]\n```", "correct": false, "input_tokens": 1226, "output_tokens": 47, "elapsed_seconds": 3.99298799992539, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5049504637718201, "attempts": 1, "retries": 0, "total_seconds": 4.0056}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 103, "image": "indir-2-_jpeg_jpg.rf.cabde9f9d89b7527f52820f6df64e1b7.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [17, 25, 48, 309], \"label\": \"technical drawing table\"},\n {\"box_2d\": [17, 905, 48, 976], \"label\": \"technical drawing table\"},\n {\"box_2d\": [915, 208, 984, 976], \"label\": \"technical drawing table\"},\n {\"box_2d\": [364, 249, 422, 581], \"label\": \"dimension annotation\"},\n {\"box_2d\": [417, 89, 517, 205], \"label\": \"dimension annotation\"},\n {\"box_2d\": [423, 583, 575, 681], \"label\": \"dimension annotation\"},\n {\"box_2d\": [433, 305, 514, 449], \"label\": \"dimension annotation\"},\n {\"box_2d\": [532, 70, 573, 134], \"label\": \"dimension annotation\"},\n {\"box_2d\": [575, 415, 634, 516], \"label\": \"dimension annotation\"},\n {\"box_2d\": [575, 515, 634, 582], \"label\": \"dimension annotation\"},\n {\"box_2d\": [546, 181, 634, 289], \"label\": \"dimension annotation\"},\n {\"box_2d\": [678, 57, 707, 114], \"label\": \"dimension annotation\"},\n {\"box_2d\": [707, 56, 844, 247], \"label\": \"dimension annotation\"},\n {\"box_2d\": [760, 249, 775, 344], \"label\": \"dimension annotation\"},\n {\"box_2d\": [815, 583, 844, 648], \"label\": \"dimension annotation\"},\n {\"box_2d\": [619, 754, 677, 888], \"label\": \"dimension annotation\"},\n {\"box_2d\": [754, 665, 801, 749], \"label\": \"dimension annotation\"}\n]\n```", "correct": false, "input_tokens": 1233, "output_tokens": 601, "elapsed_seconds": 7.225155540974811, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.16949552297592163, "attempts": 1, "retries": 0, "total_seconds": 7.2396}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 104, "image": "wood-log-detection_019_png_jpg.rf.0c10ed1caffd0ca9926a3f2f5de3a24a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [618, 326, 725, 452], \"label\": \"log cross-section\"},\n {\"box_2d\": [641, 200, 722, 320], \"label\": \"log cross-section\"},\n {\"box_2d\": [692, 300, 722, 338], \"label\": \"log cross-section\"},\n {\"box_2d\": [623, 66, 719, 194], \"label\": \"log cross-section\"},\n {\"box_2d\": [602, 169, 638, 223], \"label\": \"log cross-section\"},\n {\"box_2d\": [592, 225, 645, 289], \"label\": \"log cross-section\"},\n {\"box_2d\": [556, 80, 616, 152], \"label\": \"log cross-section\"},\n {\"box_2d\": [559, 167, 603, 223], \"label\": \"log cross-section\"},\n {\"box_2d\": [528, 162, 561, 202], \"label\": \"log cross-section\"},\n {\"box_2d\": [512, 211, 581, 305], \"label\": \"log cross-section\"},\n {\"box_2d\": [495, 72, 558, 153], \"label\": \"log cross-section\"},\n {\"box_2d\": [505, 306, 566, 384], \"label\": \"log cross-section\"},\n {\"box_2d\": [438, 152, 530, 272], \"label\": \"log cross-section\"},\n {\"box_2d\": [453, 88, 495, 145], \"label\": \"log cross-section\"},\n {\"box_2d\": [392, 92, 448, 166], \"label\": \"log cross-section\"},\n {\"box_2d\": [316, 69, 362, 134], \"label\": \"log cross-section\"},\n {\"box_2d\": [331, 133, 370, 178], \"label\": \"log cross-section\"},\n {\"box_2d\": [262, 53, 314, 120], \"label\": \"log cross-section\"},\n {\"box_2d\": [223, 102, 272, 164], \"label\": \"log cross-section\"},\n {\"box_2d\": [148, 48, 217, 145], \"label\": \"log cross-section\"},\n {\"box_2d\": [202, 164, 266, 255], \"label\": \"log cross-section\"},\n {\"box_2d\": [186, 238, 230, 277], \"label\": \"log cross-section\"},\n {\"box_2d\": [166, 286, 214, 348], \"label\": \"log cross-section\"},\n {\"box_2d\": [211, 284, 241, 323], \"label\": \"log cross-section\"},\n {\"box_2d\": [250, 281, 291, 328], \"label\": \"log cross-section\"},\n {\"box_2d\": [211, 328, 291, 420], \"label\": \"log cross-section\"},\n {\"box_2d\": [167, 405, 206, 456], \"label\": \"log cross-section\"},\n {\"box_2d\": [288, 198, 369, 306], \"label\": \"log cross-section\"},\n {\"box_2d\": [347, 241, 403, 317], \"label\": \"log cross-section\"},\n {\"box_2d\": [320, 320, 400, 431], \"label\": \"log cross-section\"},\n {\"box_2d\": [423, 273, 472, 336], \"label\": \"log cross-section\"},\n {\"box_2d\": [483, 269, 523, 319], \"label\": \"log cross-section\"},\n {\"box_2d\": [458, 355, 525, 444], \"label\": \"log cross-section\"},\n {\"box_2d\": [577, 391, 625, 477], \"label\": \"log cross-section\"},\n {\"box_2d\": [673, 469, 739, 553], \"label\": \"log cross-section\"},\n {\"box_2d\": [630, 467, 669, 512], \"label\": \"log cross-section\"},\n {\"box_2d\": [623, 514, 673, 583], \"label\": \"log cross-section\"},\n {\"box_2d\": [578, 491, 625, 572], \"label\": \"log cross-section\"},\n {\"box_2d\": [508, 488, 578, 578], \"label\": \"log cross-section\"},\n {\"box_2d\": [455, 452, 516, 538], \"label\": \"log cross-section\"},\n {\"box_2d\": [430, 412, 469, 467], \"label\": \"log cross-section\"},\n {\"box_2d\": [397, 427, 430, 480], \"label\": \"log cross-section\"},\n {\"box_2d\": [356, 422, 402, 492], \"label\": \"log cross-section\"},\n {\"box_2d\": [238, 420, 328, 553], \"label\": \"log cross-section\"},\n {\"box_2d\": [166, 497, 231, 580], \"label\": \"log cross-section\"},\n {\"box_2d\": [228, 542, 300, 636], \"label\": \"log cross-section\"},\n {\"box_2d\": [302, 536, 372, 622], \"label\": \"log cross-section\"},\n {\"box_2d\": [370, 500, 442, 586], \"label\": \"log cross-section\"},\n {\"box_2d\": [462, 548, 520, 622], \"label\": \"log cross-section\"},\n {\"box_2d\": [566, 570, 608, 616], \"label\": \"log cross-section\"},\n {\"box_2d\": [609, 575, 639, 622], \"label\": \"log cross-section\"},\n {\"box_2d\": [631, 583, 677, 642], \"label\": \"log cross-section\"},\n {\"box_2d\": [705, 591, 747, 639], \"label\": \"log cross-section\"},\n {\"box_2d\": [702, 639, 745, 688], \"label\": \"log cross-section\"},\n {\"box_2d\": [686, 719, 720, 759], \"label\": \"log cross-section\"},\n {\"box_2d\": [712, 791, 748, 833], \"label\": \"log cross-section\"},\n {\"box_2d\": [688, 833, 720, 881], \"label\": \"log cross-section\"},\n {\"box_2d\": [670, 842, 691, 877], \"label\": \"log cross-section\"},\n {\"box_2d\": [623, 828, 670, 888], \"label\": \"log cross-section\"},\n {\"box_2d\": [612, 731, 667, 797], \"label\": \"log cross-section\"},\n {\"box_2d\": [612, 670, 662, 731], \"label\": \"log cross-section\"},\n {\"box_2d\": [542, 608, 598, 677], \"label\": \"log cross-section\"},\n {\"box_2d\": [512, 638, 555, 686], \"label\": \"log cross-section\"},\n {\"box_2d\": [434, 622, 488, 692], \"label\": \"log cross-section\"},\n {\"box_2d\": [478, 675, 517, 723], \"label\": \"log cross-section\"},\n {\"box_2d\": [509, 716, 556, 775], \"label\": \"log cross-section\"},\n {\"box_2d\": [556, 691, 616, 772], \"label\": \"log cross-section\"},\n {\"box_2d\": [511, 772, 555, 820], \"label\": \"log cross-section\"},\n {\"box_2d\": [555, 783, 603, 844], \"label\": \"log cross-section\"},\n {\"box_2d\": [583, 842, 616, 883], \"label\": \"log cross-section\"},\n {\"box_2d\": [523, 827, 553, 862], \"label\": \"log cross-section\"},\n {\"box_2d\": [502, 855, 538, 895], \"label\": \"log cross-section\"},\n {\"box_2d\": [469, 834, 500, 875], \"label\": \"log cross-section\"},\n {\"box_2d\": [439, 789, 472, 833], \"label\": \"log cross-section\"},\n {\"box_2d\": [455, 720, 511, 792], \"label\": \"log cross-section\"},\n {\"box_2d\": [350, 603, 430, 703], \"label\": \"log cross-section\"},\n {\"box_2d\": [322, 702, 388, 788], \"label\": \"log cross-section\"},\n {\"box_2d\": [270, 656, 339, 739], \"label\": \"log cross-section\"},\n {\"box_2d\": [223, 670, 272, 733], \"label\": \"log cross-section\"},\n {\"box_2d\": [222, 733, 278, 803], \"label\": \"log cross-section\"},\n {\"box_2d\": [277, 748, 314, 797], \"label\": \"log cross-section\"},\n {\"box_2d\": [211, 805, 294, 895], \"label\": \"log cross-section\"},\n {\"box_2d\": [300, 775, 361, 848], \"label\": \"log cross-section\"},\n {\"box_2d\": [366, 802, 405, 855], \"label\": \"log cross-section\"},\n {\"box_2d\": [406, 898, 444, 947], \"label\": \"log cross-section\"}\n]\n```", "correct": true, "input_tokens": 1228, "output_tokens": 3149, "elapsed_seconds": 27.999658000073396, "metadata": {"match_method": "map", "num_predictions": 85, "num_ground_truth": 91, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9127548336982727, "attempts": 1, "retries": 0, "total_seconds": 28.0266}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 105, "image": "170571v_JPG_jpg.rf.044f16a58ffbf60b2d7a3d41cd3a4fdf.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [765, 487, 839, 684], \"label\": \"cracked insulator\"},\n {\"box_2d\": [712, 497, 780, 681], \"label\": \"cracked insulator\"},\n {\"box_2d\": [562, 463, 640, 676], \"label\": \"cracked insulator\"},\n {\"box_2d\": [498, 465, 571, 673], \"label\": \"cracked insulator\"},\n {\"box_2d\": [445, 462, 511, 672], \"label\": \"cracked insulator\"}\n]\n```", "correct": true, "input_tokens": 1244, "output_tokens": 192, "elapsed_seconds": 29.185878250049427, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 29.6924}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 106, "image": "IMG_20260128_081412_jpg.rf.4a044ae2d306c8ba7e741477be920225.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [32, 0, 118, 42], \"label\": \"white standard price tag\"},\n {\"box_2d\": [41, 75, 118, 128], \"label\": \"white standard price tag\"},\n {\"box_2d\": [47, 152, 118, 207], \"label\": \"white standard price tag\"},\n {\"box_2d\": [55, 245, 125, 297], \"label\": \"white standard price tag\"},\n {\"box_2d\": [60, 342, 125, 396], \"label\": \"white standard price tag\"},\n {\"box_2d\": [54, 423, 125, 476], \"label\": \"white standard price tag\"},\n {\"box_2d\": [72, 533, 140, 585], \"label\": \"white standard price tag\"},\n {\"box_2d\": [72, 673, 139, 725], \"label\": \"white standard price tag\"},\n {\"box_2d\": [85, 773, 150, 825], \"label\": \"white standard price tag\"},\n {\"box_2d\": [92, 853, 160, 904], \"label\": \"white standard price tag\"},\n {\"box_2d\": [80, 929, 147, 982], \"label\": \"white standard price tag\"},\n {\"box_2d\": [666, 51, 728, 102], \"label\": \"white standard price tag\"},\n {\"box_2d\": [686, 224, 753, 272], \"label\": \"white standard price tag\"},\n {\"box_2d\": [696, 332, 761, 378], \"label\": \"white standard price tag\"},\n {\"box_2d\": [707, 652, 770, 699], \"label\": \"white standard price tag\"},\n {\"box_2d\": [708, 729, 770, 778], \"label\": \"white standard price tag\"},\n {\"box_2d\": [713, 824, 776, 872], \"label\": \"white standard price tag\"},\n {\"box_2d\": [718, 899, 780, 949], \"label\": \"white standard price tag\"},\n {\"box_2d\": [674, 420, 924, 486], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [680, 562, 928, 626], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [697, 943, 941, 1000], \"label\": \"yellow large price tag\"}\n]\n```", "correct": true, "input_tokens": 1222, "output_tokens": 774, "elapsed_seconds": 105.16151841694955, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 21, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 105.6375}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 107, "image": "IMG_20220316_163220_jpg.rf.07e174636631b0be143879d240f8f468.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [287, 79, 754, 377], \"label\": \"three of diamonds\"},\n {\"box_2d\": [406, 81, 922, 405], \"label\": \"ace of diamonds\"},\n {\"box_2d\": [400, 396, 869, 731], \"label\": \"two of diamonds\"},\n {\"box_2d\": [155, 452, 634, 809], \"label\": \"four of diamonds\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 154, "elapsed_seconds": 18.816910709021613, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 18.8573}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 108, "image": "2e57b9_3_10_png_jpg.rf.93746b4a960366b1a012ad339a5d68e1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [579, 59, 625, 70], \"label\": \"player\"},\n {\"box_2d\": [474, 138, 513, 148], \"label\": \"goalkeeper\"},\n {\"box_2d\": [457, 217, 495, 229], \"label\": \"player\"},\n {\"box_2d\": [478, 214, 520, 226], \"label\": \"player\"},\n {\"box_2d\": [423, 263, 459, 272], \"label\": \"player\"},\n {\"box_2d\": [500, 283, 542, 294], \"label\": \"player\"},\n {\"box_2d\": [581, 237, 627, 247], \"label\": \"player\"},\n {\"box_2d\": [749, 159, 811, 178], \"label\": \"player\"},\n {\"box_2d\": [589, 349, 639, 359], \"label\": \"player\"},\n {\"box_2d\": [380, 391, 412, 397], \"label\": \"player\"},\n {\"box_2d\": [416, 389, 451, 398], \"label\": \"player\"},\n {\"box_2d\": [447, 457, 485, 464], \"label\": \"player\"},\n {\"box_2d\": [471, 500, 511, 508], \"label\": \"player\"},\n {\"box_2d\": [495, 480, 534, 489], \"label\": \"referee\"},\n {\"box_2d\": [545, 464, 591, 476], \"label\": \"player\"},\n {\"box_2d\": [544, 497, 590, 505], \"label\": \"player\"},\n {\"box_2d\": [585, 439, 634, 446], \"label\": \"player\"},\n {\"box_2d\": [689, 488, 748, 498], \"label\": \"player\"},\n {\"box_2d\": [405, 630, 440, 638], \"label\": \"player\"},\n {\"box_2d\": [407, 658, 442, 666], \"label\": \"player\"},\n {\"box_2d\": [451, 676, 492, 684], \"label\": \"player\"},\n {\"box_2d\": [535, 694, 581, 704], \"label\": \"player\"},\n {\"box_2d\": [914, 747, 987, 773], \"label\": \"referee\"},\n {\"box_2d\": [506, 143, 513, 149], \"label\": \"football\"}\n]\n```", "correct": false, "input_tokens": 1242, "output_tokens": 829, "elapsed_seconds": 59.727410875028, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6534653306007385, "attempts": 1, "retries": 0, "total_seconds": 59.8603}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 109, "image": "img283_png.rf.c0609f1f38390a89165e7c735d693ab6.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [77, 367, 143, 450], \"label\": \"and gate symbol\"},\n {\"box_2d\": [29, 541, 95, 624], \"label\": \"and gate symbol\"},\n {\"box_2d\": [123, 541, 191, 624], \"label\": \"and gate symbol\"},\n {\"box_2d\": [219, 541, 286, 624], \"label\": \"and gate symbol\"},\n {\"box_2d\": [250, 367, 317, 450], \"label\": \"and gate symbol\"},\n {\"box_2d\": [329, 541, 396, 624], \"label\": \"and gate symbol\"},\n {\"box_2d\": [171, 756, 238, 840], \"label\": \"or gate symbol\"},\n {\"box_2d\": [345, 37, 390, 80], \"label\": \"not gate symbol\"},\n {\"box_2d\": [345, 91, 390, 134], \"label\": \"not gate symbol\"},\n {\"box_2d\": [551, 144, 595, 188], \"label\": \"not gate symbol\"},\n {\"box_2d\": [551, 198, 595, 241], \"label\": \"not gate symbol\"},\n {\"box_2d\": [392, 394, 460, 476], \"label\": \"and gate symbol\"},\n {\"box_2d\": [488, 394, 554, 476], \"label\": \"and gate symbol\"},\n {\"box_2d\": [583, 394, 650, 476], \"label\": \"and gate symbol\"},\n {\"box_2d\": [678, 394, 745, 476], \"label\": \"and gate symbol\"},\n {\"box_2d\": [440, 541, 507, 624], \"label\": \"or gate symbol\"},\n {\"box_2d\": [630, 541, 697, 624], \"label\": \"or gate symbol\"},\n {\"box_2d\": [535, 703, 602, 785], \"label\": \"and gate symbol\"},\n {\"box_2d\": [661, 864, 729, 947], \"label\": \"or gate symbol\"},\n {\"box_2d\": [788, 367, 855, 450], \"label\": \"and gate symbol\"},\n {\"box_2d\": [836, 555, 903, 638], \"label\": \"or gate symbol\"},\n {\"box_2d\": [915, 353, 982, 436], \"label\": \"and gate symbol\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 798, "elapsed_seconds": 29.400140832993202, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 29.4119}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 110, "image": "000002_png.rf.4f51fa98e7c1b825375b26d30324d587.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [757, 495, 780, 524], \"label\": \"tire spike normal\"},\n {\"box_2d\": [572, 434, 593, 463], \"label\": \"tire spike normal\"},\n {\"box_2d\": [508, 377, 529, 405], \"label\": \"tire spike normal\"},\n {\"box_2d\": [411, 381, 432, 409], \"label\": \"tire spike normal\"},\n {\"box_2d\": [347, 325, 368, 353], \"label\": \"tire spike normal\"},\n {\"box_2d\": [250, 297, 271, 326], \"label\": \"tire spike absent\"},\n {\"box_2d\": [193, 244, 213, 272], \"label\": \"tire spike absent\"},\n {\"box_2d\": [332, 677, 353, 706], \"label\": \"tire spike normal\"},\n {\"box_2d\": [243, 642, 264, 670], \"label\": \"tire spike normal\"},\n {\"box_2d\": [173, 574, 193, 602], \"label\": \"tire spike normal\"},\n {\"box_2d\": [388, 745, 409, 773], \"label\": \"tire spike normal\"},\n {\"box_2d\": [465, 761, 486, 790], \"label\": \"tire spike normal\"},\n {\"box_2d\": [542, 779, 563, 807], \"label\": \"tire spike normal\"},\n {\"box_2d\": [612, 838, 633, 866], \"label\": \"tire spike normal\"},\n {\"box_2d\": [712, 833, 734, 862], \"label\": \"tire spike normal\"},\n {\"box_2d\": [765, 871, 786, 900], \"label\": \"tire spike normal\"},\n {\"box_2d\": [826, 567, 847, 596], \"label\": \"tire spike absent\"},\n {\"box_2d\": [151, 200, 172, 229], \"label\": \"tire spike absent\"},\n {\"box_2d\": [108, 210, 129, 239], \"label\": \"tire spike absent\"},\n {\"box_2d\": [92, 162, 113, 190], \"label\": \"tire spike absent\"},\n {\"box_2d\": [94, 521, 115, 550], \"label\": \"tire spike normal\"},\n {\"box_2d\": [79, 464, 100, 492], \"label\": \"tire spike normal\"}\n]\n```", "correct": false, "input_tokens": 1244, "output_tokens": 801, "elapsed_seconds": 16.17177775001619, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 25, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6831682920455933, "attempts": 1, "retries": 0, "total_seconds": 16.2034}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 111, "image": "20210325_203906_jpg.rf.933d9e03e479d146bb70034cc952f103.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [761, 434, 927, 606], \"label\": \"10 euro cent coin\"},\n {\"box_2d\": [153, 223, 302, 370], \"label\": \"1 euro cent coin\"},\n {\"box_2d\": [125, 517, 302, 691], \"label\": \"2 euro cent coin\"},\n {\"box_2d\": [266, 366, 455, 555], \"label\": \"5 euro cent coin\"},\n {\"box_2d\": [331, 653, 567, 894], \"label\": \"2 euro coin\"},\n {\"box_2d\": [478, 459, 672, 656], \"label\": \"20 euro cent coin\"},\n {\"box_2d\": [541, 217, 742, 420], \"label\": \"1 euro coin\"},\n {\"box_2d\": [322, 72, 538, 291], \"label\": \"50 euro cent coin\"}\n]\n```", "correct": true, "input_tokens": 1272, "output_tokens": 308, "elapsed_seconds": 7.513186541036703, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 7.5318}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 112, "image": "IMG_6680_jpeg_jpg.rf.a7e13dbe56d360a8422903a30c5bef2b.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [504, 34, 562, 204], \"label\": \"green poker chip\"},\n {\"box_2d\": [450, 30, 526, 198], \"label\": \"green poker chip\"},\n {\"box_2d\": [488, 28, 545, 200], \"label\": \"green poker chip\"},\n {\"box_2d\": [447, 227, 522, 382], \"label\": \"orange poker chip\"},\n {\"box_2d\": [482, 232, 539, 386], \"label\": \"orange poker chip\"},\n {\"box_2d\": [498, 214, 560, 368], \"label\": \"orange poker chip\"},\n {\"box_2d\": [446, 431, 517, 583], \"label\": \"red poker chip\"},\n {\"box_2d\": [474, 420, 535, 572], \"label\": \"red poker chip\"},\n {\"box_2d\": [498, 435, 557, 589], \"label\": \"red poker chip\"},\n {\"box_2d\": [449, 623, 522, 782], \"label\": \"blue poker chip\"},\n {\"box_2d\": [481, 621, 538, 781], \"label\": \"blue poker chip\"},\n {\"box_2d\": [502, 624, 562, 788], \"label\": \"blue poker chip\"},\n {\"box_2d\": [438, 803, 508, 970], \"label\": \"white poker chip\"},\n {\"box_2d\": [478, 814, 534, 988], \"label\": \"white poker chip\"},\n {\"box_2d\": [489, 812, 550, 987], \"label\": \"white poker chip\"}\n]\n```", "correct": true, "input_tokens": 1243, "output_tokens": 549, "elapsed_seconds": 7.945548875024542, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 7.9682}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 113, "image": "paper-parts_1947_92_jpg.rf.c89564b4b37a6d7828cc26ccdadbe488.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [98, 118, 115, 632], \"label\": \"paragraph\"},\n {\"box_2d\": [98, 860, 115, 880], \"label\": \"page number\"},\n {\"box_2d\": [138, 232, 474, 769], \"label\": \"figure\"},\n {\"box_2d\": [485, 118, 520, 881], \"label\": \"figure caption\"},\n {\"box_2d\": [520, 495, 537, 499], \"label\": \"paragraph\"},\n {\"box_2d\": [549, 267, 566, 732], \"label\": \"table caption\"},\n {\"box_2d\": [579, 224, 691, 777], \"label\": \"table\"},\n {\"box_2d\": [720, 118, 754, 881], \"label\": \"paragraph\"},\n {\"box_2d\": [776, 118, 792, 336], \"label\": \"subsection\"},\n {\"box_2d\": [804, 118, 838, 881], \"label\": \"paragraph\"},\n {\"box_2d\": [851, 427, 884, 571], \"label\": \"equation\"},\n {\"box_2d\": [887, 118, 922, 536], \"label\": \"paragraph\"}\n]\n```", "correct": true, "input_tokens": 1255, "output_tokens": 421, "elapsed_seconds": 10.105036541004665, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 10, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9499999284744263, "attempts": 1, "retries": 0, "total_seconds": 10.1643}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 114, "image": "160623_JPG_jpg.rf.4a3c396118b0f749044f2bf5dc9876a6.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 405, 962, 516], \"label\": \"insulator flashover\"}\n]\n```", "correct": false, "input_tokens": 1218, "output_tokens": 47, "elapsed_seconds": 103.87402070802636, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 104.7773}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 115, "image": "97_jpg.rf.6e96875525666efd5c6ee92a42ea704b.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [155, 443, 232, 488], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [500, 114, 622, 160], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [393, 257, 430, 314], \"label\": \"resistor symbol\"},\n {\"box_2d\": [811, 281, 860, 349], \"label\": \"resistor symbol\"},\n {\"box_2d\": [399, 642, 436, 709], \"label\": \"resistor symbol\"},\n {\"box_2d\": [558, 865, 695, 888], \"label\": \"resistor symbol\"},\n {\"box_2d\": [360, 772, 445, 811], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [546, 519, 649, 560], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [366, 415, 454, 469], \"label\": \"dc voltage source symbol\"}\n]\n```", "correct": true, "input_tokens": 1251, "output_tokens": 341, "elapsed_seconds": 6.358283000066876, "metadata": {"match_method": "map", "num_predictions": 9, "num_ground_truth": 9, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 6.3665}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 116, "image": "IMG_20260128_081234_jpg.rf.66b0abebc9fc2c6dc309b213a32ddf78.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [729, 36, 838, 108], \"label\": \"white standard price tag\"},\n {\"box_2d\": [736, 256, 845, 330], \"label\": \"white standard price tag\"},\n {\"box_2d\": [736, 355, 843, 427], \"label\": \"white standard price tag\"},\n {\"box_2d\": [738, 442, 843, 513], \"label\": \"white standard price tag\"},\n {\"box_2d\": [741, 558, 845, 628], \"label\": \"white standard price tag\"},\n {\"box_2d\": [743, 699, 848, 769], \"label\": \"white standard price tag\"},\n {\"box_2d\": [745, 805, 848, 875], \"label\": \"white standard price tag\"},\n {\"box_2d\": [745, 880, 849, 949], \"label\": \"white standard price tag\"},\n {\"box_2d\": [746, 948, 848, 1000], \"label\": \"white standard price tag\"},\n {\"box_2d\": [61, 899, 178, 976], \"label\": \"white standard price tag\"},\n {\"box_2d\": [46, 588, 169, 665], \"label\": \"white standard price tag\"},\n {\"box_2d\": [29, 405, 359, 492], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [13, 297, 355, 396], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [6, 84, 364, 189], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [32, 290, 152, 311], \"label\": \"white standard price tag\"}\n]\n```", "correct": true, "input_tokens": 1222, "output_tokens": 559, "elapsed_seconds": 37.145638999994844, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 14, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 37.5465}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 117, "image": "1668147222__jpg.rf.44d299ff8b2787b4176e92260de001ce.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [598, 40, 643, 68], \"label\": \"five die\"},\n {\"box_2d\": [842, 120, 899, 154], \"label\": \"five die\"},\n {\"box_2d\": [504, 108, 560, 141], \"label\": \"six die\"},\n {\"box_2d\": [568, 145, 624, 179], \"label\": \"three die\"},\n {\"box_2d\": [356, 124, 402, 152], \"label\": \"six die\"},\n {\"box_2d\": [281, 206, 328, 235], \"label\": \"five die\"},\n {\"box_2d\": [423, 221, 469, 248], \"label\": \"five die\"},\n {\"box_2d\": [373, 293, 429, 325], \"label\": \"one die\"},\n {\"box_2d\": [427, 305, 472, 330], \"label\": \"two die\"},\n {\"box_2d\": [583, 283, 634, 311], \"label\": \"six die\"},\n {\"box_2d\": [131, 319, 187, 348], \"label\": \"four die\"},\n {\"box_2d\": [174, 381, 232, 412], \"label\": \"two die\"},\n {\"box_2d\": [135, 398, 193, 429], \"label\": \"one die\"},\n {\"box_2d\": [526, 391, 580, 422], \"label\": \"four die\"},\n {\"box_2d\": [643, 373, 698, 404], \"label\": \"six die\"},\n {\"box_2d\": [757, 449, 803, 474], \"label\": \"five die\"},\n {\"box_2d\": [761, 510, 811, 537], \"label\": \"four die\"},\n {\"box_2d\": [771, 564, 828, 595], \"label\": \"four die\"},\n {\"box_2d\": [626, 502, 671, 526], \"label\": \"two die\"},\n {\"box_2d\": [630, 541, 686, 573], \"label\": \"two die\"},\n {\"box_2d\": [592, 583, 637, 608], \"label\": \"five die\"},\n {\"box_2d\": [403, 473, 456, 503], \"label\": \"one die\"},\n {\"box_2d\": [302, 490, 353, 517], \"label\": \"three die\"},\n {\"box_2d\": [376, 531, 429, 561], \"label\": \"six die\"},\n {\"box_2d\": [461, 586, 518, 618], \"label\": \"six die\"},\n {\"box_2d\": [482, 626, 537, 658], \"label\": \"one die\"},\n {\"box_2d\": [537, 628, 589, 657], \"label\": \"four die\"},\n {\"box_2d\": [568, 651, 624, 683], \"label\": \"six die\"},\n {\"box_2d\": [641, 665, 696, 696], \"label\": \"three die\"},\n {\"box_2d\": [213, 496, 271, 529], \"label\": \"one die\"},\n {\"box_2d\": [230, 529, 281, 555], \"label\": \"two die\"},\n {\"box_2d\": [182, 539, 240, 571], \"label\": \"five die\"},\n {\"box_2d\": [126, 554, 179, 582], \"label\": \"two die\"},\n {\"box_2d\": [171, 570, 224, 600], \"label\": \"two die\"},\n {\"box_2d\": [21, 613, 81, 644], \"label\": \"five die\"},\n {\"box_2d\": [286, 612, 342, 644], \"label\": \"two die\"},\n {\"box_2d\": [336, 634, 382, 661], \"label\": \"two die\"},\n {\"box_2d\": [397, 639, 444, 667], \"label\": \"five die\"},\n {\"box_2d\": [354, 696, 400, 722], \"label\": \"four die\"},\n {\"box_2d\": [401, 730, 460, 764], \"label\": \"four die\"},\n {\"box_2d\": [463, 742, 520, 776], \"label\": \"five die\"},\n {\"box_2d\": [514, 757, 566, 787], \"label\": \"two die\"},\n {\"box_2d\": [586, 769, 641, 801], \"label\": \"three die\"},\n {\"box_2d\": [138, 728, 191, 759], \"label\": \"one die\"},\n {\"box_2d\": [158, 792, 217, 825], \"label\": \"three die\"},\n {\"box_2d\": [450, 859, 497, 887], \"label\": \"four die\"},\n {\"box_2d\": [700, 912, 747, 941], \"label\": \"five die\"},\n {\"box_2d\": [82, 935, 134, 964], \"label\": \"two die\"},\n {\"box_2d\": [128, 919, 182, 951], \"label\": \"two die\"},\n {\"box_2d\": [127, 948, 177, 977], \"label\": \"three die\"}\n]\n```", "correct": true, "input_tokens": 1252, "output_tokens": 1757, "elapsed_seconds": 18.92876837507356, "metadata": {"match_method": "map", "num_predictions": 50, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9752475023269653, "attempts": 1, "retries": 0, "total_seconds": 18.9876}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 118, "image": "IMG_0603_jpeg.rf.ecb146a41f95c297fa9a3a9efb0e3ea5.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [461, 214, 616, 310], \"label\": \"peach jelly bean\"},\n {\"box_2d\": [339, 396, 456, 466], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [468, 521, 588, 639], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [345, 689, 447, 798], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [96, 771, 159, 822], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [103, 820, 160, 871], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [121, 868, 164, 910], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [153, 856, 215, 903], \"label\": \"caramel corn jelly bean\"}\n]\n```", "correct": true, "input_tokens": 1230, "output_tokens": 315, "elapsed_seconds": 33.39767141698394, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8341583609580994, "attempts": 1, "retries": 0, "total_seconds": 33.4494}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 119, "image": "lot229_JPEG_jpg.rf.ffdf35568953f3fde9f8f46749018268.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [771, 355, 790, 395], \"label\": \"chicory seed\"},\n {\"box_2d\": [711, 279, 746, 309], \"label\": \"chicory seed\"},\n {\"box_2d\": [686, 330, 722, 352], \"label\": \"chicory seed\"},\n {\"box_2d\": [680, 345, 706, 386], \"label\": \"chicory seed\"},\n {\"box_2d\": [635, 275, 676, 294], \"label\": \"chicory seed\"},\n {\"box_2d\": [641, 195, 676, 230], \"label\": \"chicory seed\"},\n {\"box_2d\": [600, 197, 634, 232], \"label\": \"chicory seed\"},\n {\"box_2d\": [595, 173, 631, 204], \"label\": \"chicory seed\"},\n {\"box_2d\": [556, 185, 588, 217], \"label\": \"chicory seed\"},\n {\"box_2d\": [525, 222, 562, 250], \"label\": \"chicory seed\"},\n {\"box_2d\": [523, 246, 554, 283], \"label\": \"chicory seed\"},\n {\"box_2d\": [568, 266, 606, 290], \"label\": \"chicory seed\"},\n {\"box_2d\": [485, 189, 524, 215], \"label\": \"chicory seed\"},\n {\"box_2d\": [461, 191, 478, 231], \"label\": \"chicory seed\"},\n {\"box_2d\": [480, 235, 509, 271], \"label\": \"chicory seed\"},\n {\"box_2d\": [462, 243, 495, 278], \"label\": \"chicory seed\"},\n {\"box_2d\": [510, 268, 531, 307], \"label\": \"chicory seed\"},\n {\"box_2d\": [425, 231, 456, 269], \"label\": \"chicory seed\"},\n {\"box_2d\": [399, 230, 434, 257], \"label\": \"chicory seed\"},\n {\"box_2d\": [395, 205, 424, 241], \"label\": \"chicory seed\"},\n {\"box_2d\": [425, 198, 460, 226], \"label\": \"chicory seed\"},\n {\"box_2d\": [405, 179, 446, 200], \"label\": \"chicory seed\"},\n {\"box_2d\": [365, 189, 405, 210], \"label\": \"chicory seed\"},\n {\"box_2d\": [387, 146, 415, 176], \"label\": \"chicory seed\"},\n {\"box_2d\": [375, 128, 400, 167], \"label\": \"chicory seed\"},\n {\"box_2d\": [317, 204, 353, 233], \"label\": \"chicory seed\"},\n {\"box_2d\": [250, 198, 279, 238], \"label\": \"chicory seed\"},\n {\"box_2d\": [266, 221, 299, 247], \"label\": \"chicory seed\"},\n {\"box_2d\": [217, 231, 258, 250], \"label\": \"chicory seed\"},\n {\"box_2d\": [230, 248, 269, 265], \"label\": \"chicory seed\"},\n {\"box_2d\": [266, 244, 286, 283], \"label\": \"chicory seed\"},\n {\"box_2d\": [195, 239, 216, 282], \"label\": \"chicory seed\"},\n {\"box_2d\": [180, 264, 204, 299], \"label\": \"chicory seed\"},\n {\"box_2d\": [214, 254, 233, 294], \"label\": \"chicory seed\"},\n {\"box_2d\": [226, 265, 261, 301], \"label\": \"chicory seed\"},\n {\"box_2d\": [168, 301, 189, 342], \"label\": \"chicory seed\"},\n {\"box_2d\": [189, 315, 220, 353], \"label\": \"chicory seed\"},\n {\"box_2d\": [211, 316, 251, 345], \"label\": \"chicory seed\"},\n {\"box_2d\": [227, 302, 260, 333], \"label\": \"chicory seed\"},\n {\"box_2d\": [260, 306, 280, 350], \"label\": \"chicory seed\"},\n {\"box_2d\": [132, 355, 171, 378], \"label\": \"chicory seed\"},\n {\"box_2d\": [169, 348, 209, 370], \"label\": \"chicory seed\"},\n {\"box_2d\": [140, 376, 180, 398], \"label\": \"chicory seed\"},\n {\"box_2d\": [119, 412, 160, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [134, 432, 168, 468], \"label\": \"chicory seed\"},\n {\"box_2d\": [116, 452, 136, 495], \"label\": \"chicory seed\"},\n {\"box_2d\": [123, 466, 151, 507], \"label\": \"chicory seed\"},\n {\"box_2d\": [151, 451, 181, 488], \"label\": \"chicory seed\"},\n {\"box_2d\": [127, 488, 165, 521], \"label\": \"chicory seed\"},\n {\"box_2d\": [125, 540, 144, 585], \"label\": \"chicory seed\"},\n {\"box_2d\": [168, 658, 196, 695], \"label\": \"chicory seed\"},\n {\"box_2d\": [199, 680, 239, 701], \"label\": \"chicory seed\"},\n {\"box_2d\": [206, 700, 246, 718], \"label\": \"chicory seed\"},\n {\"box_2d\": [237, 718, 279, 743], \"label\": \"chicory seed\"},\n {\"box_2d\": [279, 719, 319, 738], \"label\": \"chicory seed\"},\n {\"box_2d\": [274, 748, 315, 771], \"label\": \"chicory seed\"},\n {\"box_2d\": [278, 763, 312, 793], \"label\": \"chicory seed\"},\n {\"box_2d\": [307, 773, 349, 800], \"label\": \"chicory seed\"},\n {\"box_2d\": [330, 787, 362, 822], \"label\": \"chicory seed\"},\n {\"box_2d\": [351, 789, 380, 829], \"label\": \"chicory seed\"},\n {\"box_2d\": [359, 745, 381, 786], \"label\": \"chicory seed\"},\n {\"box_2d\": [397, 773, 436, 807], \"label\": \"chicory seed\"},\n {\"box_2d\": [427, 780, 464, 814], \"label\": \"chicory seed\"},\n {\"box_2d\": [422, 753, 460, 778], \"label\": \"chicory seed\"},\n {\"box_2d\": [396, 733, 434, 767], \"label\": \"chicory seed\"},\n {\"box_2d\": [478, 797, 506, 833], \"label\": \"chicory seed\"},\n {\"box_2d\": [492, 804, 526, 842], \"label\": \"chicory seed\"},\n {\"box_2d\": [501, 782, 537, 804], \"label\": \"chicory seed\"},\n {\"box_2d\": [542, 772, 585, 792], \"label\": \"chicory seed\"},\n {\"box_2d\": [577, 749, 616, 768], \"label\": \"chicory seed\"},\n {\"box_2d\": [618, 736, 640, 775], \"label\": \"chicory seed\"},\n {\"box_2d\": [639, 709, 661, 753], \"label\": \"chicory seed\"},\n {\"box_2d\": [665, 718, 696, 757], \"label\": \"chicory seed\"},\n {\"box_2d\": [686, 681, 718, 718], \"label\": \"chicory seed\"},\n {\"box_2d\": [704, 662, 742, 692], \"label\": \"chicory seed\"},\n {\"box_2d\": [691, 639, 715, 680], \"label\": \"chicory seed\"},\n {\"box_2d\": [715, 642, 755, 662], \"label\": \"chicory seed\"},\n {\"box_2d\": [742, 603, 768, 646], \"label\": \"chicory seed\"},\n {\"box_2d\": [762, 603, 786, 642], \"label\": \"chicory seed\"},\n {\"box_2d\": [743, 553, 780, 585], \"label\": \"chicory seed\"},\n {\"box_2d\": [755, 511, 791, 544], \"label\": \"chicory seed\"},\n {\"box_2d\": [731, 520, 755, 562], \"label\": \"chicory seed\"},\n {\"box_2d\": [725, 499, 763, 522], \"label\": \"chicory seed\"},\n {\"box_2d\": [765, 455, 803, 476], \"label\": \"chicory seed\"},\n {\"box_2d\": [768, 396, 799, 433], \"label\": \"chicory seed\"},\n {\"box_2d\": [749, 411, 768, 455], \"label\": \"chicory seed\"},\n {\"box_2d\": [710, 405, 746, 442], \"label\": \"chicory seed\"},\n {\"box_2d\": [724, 443, 753, 483], \"label\": \"chicory seed\"},\n {\"box_2d\": [688, 463, 729, 484], \"label\": \"chicory seed\"},\n {\"box_2d\": [674, 389, 709, 411], \"label\": \"chicory seed\"},\n {\"box_2d\": [647, 370, 678, 409], \"label\": \"chicory seed\"},\n {\"box_2d\": [673, 414, 710, 444], \"label\": \"chicory seed\"},\n {\"box_2d\": [650, 406, 673, 450], \"label\": \"chicory seed\"},\n {\"box_2d\": [629, 415, 659, 455], \"label\": \"chicory seed\"},\n {\"box_2d\": [656, 452, 689, 488], \"label\": \"chicory seed\"},\n {\"box_2d\": [662, 486, 703, 509], \"label\": \"chicory seed\"},\n {\"box_2d\": [679, 532, 714, 569], \"label\": \"chicory seed\"},\n {\"box_2d\": [685, 555, 719, 593], \"label\": \"chicory seed\"},\n {\"box_2d\": [700, 567, 737, 600], \"label\": \"chicory seed\"},\n {\"box_2d\": [708, 583, 744, 619], \"label\": \"chicory seed\"},\n {\"box_2d\": [654, 545, 675, 588], \"label\": \"chicory seed\"},\n {\"box_2d\": [617, 562, 654, 583], \"label\": \"chicory seed\"},\n {\"box_2d\": [620, 520, 641, 563], \"label\": \"chicory seed\"},\n {\"box_2d\": [608, 492, 649, 513], \"label\": \"chicory seed\"},\n {\"box_2d\": [623, 459, 660, 490], \"label\": \"chicory seed\"},\n {\"box_2d\": [581, 474, 623, 494], \"label\": \"chicory seed\"},\n {\"box_2d\": [585, 406, 623, 437], \"label\": \"chicory seed\"},\n {\"box_2d\": [601, 333, 631, 370], \"label\": \"chicory seed\"},\n {\"box_2d\": [580, 306, 604, 349], \"label\": \"chicory seed\"},\n {\"box_2d\": [579, 347, 607, 389], \"label\": \"chicory seed\"},\n {\"box_2d\": [568, 391, 598, 433], \"label\": \"chicory seed\"},\n {\"box_2d\": [554, 380, 584, 422], \"label\": \"chicory seed\"},\n {\"box_2d\": [526, 313, 560, 350], \"label\": \"chicory seed\"},\n {\"box_2d\": [508, 310, 533, 348], \"label\": \"chicory seed\"},\n {\"box_2d\": [482, 316, 510, 360], \"label\": \"chicory seed\"},\n {\"box_2d\": [504, 344, 544, 374], \"label\": \"chicory seed\"},\n {\"box_2d\": [518, 371, 549, 407], \"label\": \"chicory seed\"},\n {\"box_2d\": [485, 388, 524, 409], \"label\": \"chicory seed\"},\n {\"box_2d\": [461, 343, 483, 386], \"label\": \"chicory seed\"},\n {\"box_2d\": [443, 356, 463, 400], \"label\": \"chicory seed\"},\n {\"box_2d\": [422, 326, 460, 350], \"label\": \"chicory seed\"},\n {\"box_2d\": [404, 304, 444, 327], \"label\": \"chicory seed\"},\n {\"box_2d\": [401, 275, 441, 305], \"label\": \"chicory seed\"},\n {\"box_2d\": [400, 343, 435, 374], \"label\": \"chicory seed\"},\n {\"box_2d\": [364, 279, 386, 319], \"label\": \"chicory seed\"},\n {\"box_2d\": [332, 248, 369, 288], \"label\": \"chicory seed\"},\n {\"box_2d\": [306, 236, 340, 270], \"label\": \"chicory seed\"},\n {\"box_2d\": [287, 256, 315, 294], \"label\": \"chicory seed\"},\n {\"box_2d\": [314, 271, 343, 312], \"label\": \"chicory seed\"},\n {\"box_2d\": [332, 269, 363, 311], \"label\": \"chicory seed\"},\n {\"box_2d\": [282, 285, 304, 329], \"label\": \"chicory seed\"},\n {\"box_2d\": [305, 299, 330, 340], \"label\": \"chicory seed\"},\n {\"box_2d\": [294, 324, 320, 366], \"label\": \"chicory seed\"},\n {\"box_2d\": [275, 332, 295, 374], \"label\": \"chicory seed\"},\n {\"box_2d\": [233, 340, 267, 376], \"label\": \"chicory seed\"},\n {\"box_2d\": [203, 354, 234, 394], \"label\": \"chicory seed\"},\n {\"box_2d\": [188, 391, 221, 427], \"label\": \"chicory seed\"},\n {\"box_2d\": [192, 425, 217, 469], \"label\": \"chicory seed\"},\n {\"box_2d\": [224, 381, 244, 421], \"label\": \"chicory seed\"},\n {\"box_2d\": [240, 357, 275, 390], \"label\": \"chicory seed\"},\n {\"box_2d\": [240, 390, 276, 425], \"label\": \"chicory seed\"},\n {\"box_2d\": [264, 411, 282, 455], \"label\": \"chicory seed\"},\n {\"box_2d\": [212, 447, 232, 488], \"label\": \"chicory seed\"},\n {\"box_2d\": [235, 471, 278, 498], \"label\": \"chicory seed\"},\n {\"box_2d\": [164, 491, 204, 514], \"label\": \"chicory seed\"},\n {\"box_2d\": [155, 512, 177, 553], \"label\": \"chicory seed\"},\n {\"box_2d\": [171, 513, 195, 555], \"label\": \"chicory seed\"},\n {\"box_2d\": [191, 506, 219, 547], \"label\": \"chicory seed\"},\n {\"box_2d\": [155, 549, 184, 590], \"label\": \"chicory seed\"},\n {\"box_2d\": [172, 555, 196, 599], \"label\": \"chicory seed\"},\n {\"box_2d\": [159, 600, 200, 619], \"label\": \"chicory seed\"},\n {\"box_2d\": [166, 618, 209, 637], \"label\": \"chicory seed\"},\n {\"box_2d\": [200, 599, 241, 620], \"label\": \"chicory seed\"},\n {\"box_2d\": [213, 609, 251, 643], \"label\": \"chicory seed\"},\n {\"box_2d\": [228, 616, 265, 650], \"label\": \"chicory seed\"},\n {\"box_2d\": [222, 646, 254, 672], \"label\": \"chicory seed\"},\n {\"box_2d\": [241, 667, 274, 702], \"label\": \"chicory seed\"},\n {\"box_2d\": [252, 637, 293, 666], \"label\": \"chicory seed\"},\n {\"box_2d\": [258, 607, 296, 639], \"label\": \"chicory seed\"},\n {\"box_2d\": [193, 531, 230, 563], \"label\": \"chicory seed\"},\n {\"box_2d\": [206, 547, 238, 583], \"label\": \"chicory seed\"},\n {\"box_2d\": [214, 557, 248, 597], \"label\": \"chicory seed\"},\n {\"box_2d\": [229, 564, 261, 606], \"label\": \"chicory seed\"},\n {\"box_2d\": [253, 567, 279, 610], \"label\": \"chicory seed\"},\n {\"box_2d\": [219, 487, 243, 532], \"label\": \"chicory seed\"},\n {\"box_2d\": [233, 494, 260, 538], \"label\": \"chicory seed\"},\n {\"box_2d\": [233, 520, 265, 557], \"label\": \"chicory seed\"},\n {\"box_2d\": [258, 499, 290, 536], \"label\": \"chicory seed\"},\n {\"box_2d\": [254, 529, 278, 569], \"label\": \"chicory seed\"},\n {\"box_2d\": [273, 537, 293, 573], \"label\": \"chicory seed\"},\n {\"box_2d\": [278, 571, 318, 597], \"label\": \"chicory seed\"},\n {\"box_2d\": [271, 588, 307, 623], \"label\": \"chicory seed\"},\n {\"box_2d\": [294, 615, 330, 655], \"label\": \"chicory seed\"},\n {\"box_2d\": [306, 639, 334, 681], \"label\": \"chicory seed\"},\n {\"box_2d\": [326, 655, 369, 683], \"label\": \"chicory seed\"},\n {\"box_2d\": [324, 683, 361, 718], \"label\": \"chicory seed\"},\n {\"box_2d\": [360, 703, 396, 738], \"label\": \"chicory seed\"},\n {\"box_2d\": [361, 680, 390, 718], \"label\": \"chicory seed\"},\n {\"box_2d\": [381, 685, 412, 725], \"label\": \"chicory seed\"},\n {\"box_2d\": [411, 712, 452, 734], \"label\": \"chicory seed\"},\n {\"box_2d\": [412, 689, 454, 712], \"label\": \"chicory seed\"},\n {\"box_2d\": [453, 726, 478, 767], \"label\": \"chicory seed\"},\n {\"box_2d\": [465, 751, 494, 793], \"label\": \"chicory seed\"},\n {\"box_2d\": [481, 723, 513, 764], \"label\": \"chicory seed\"},\n {\"box_2d\": [455, 687, 494, 718], \"label\": \"chicory seed\"},\n {\"box_2d\": [488, 683, 526, 715], \"label\": \"chicory seed\"},\n {\"box_2d\": [505, 705, 535, 744], \"label\": \"chicory seed\"},\n {\"box_2d\": [513, 737, 546, 776], \"label\": \"chicory seed\"},\n {\"box_2d\": [537, 739, 576, 770], \"label\": \"chicory seed\"},\n {\"box_2d\": [556, 729, 599, 750], \"label\": \"chicory seed\"},\n {\"box_2d\": [525, 689, 546, 732], \"label\": \"chicory seed\"},\n {\"box_2d\": [545, 694, 565, 735], \"label\": \"chicory seed\"},\n {\"box_2d\": [555, 678, 593, 709], \"label\": \"chicory seed\"},\n {\"box_2d\": [568, 695, 609, 728], \"label\": \"chicory seed\"},\n {\"box_2d\": [614, 680, 633, 728], \"label\": \"chicory seed\"},\n {\"box_2d\": [633, 673, 655, 715], \"label\": \"chicory seed\"},\n {\"box_2d\": [619, 634, 640, 678], \"label\": \"chicory seed\"},\n {\"box_2d\": [609, 606, 647, 640], \"label\": \"chicory seed\"},\n {\"box_2d\": [602, 578, 630, 619], \"label\": \"chicory seed\"},\n {\"box_2d\": [592, 523, 618, 565], \"label\": \"chicory seed\"},\n {\"box_2d\": [575, 518, 597, 557], \"label\": \"chicory seed\"},\n {\"box_2d\": [556, 498, 598, 519], \"label\": \"chicory seed\"},\n {\"box_2d\": [528, 484, 570, 509], \"label\": \"chicory seed\"},\n {\"box_2d\": [540, 512, 576, 543], \"label\": \"chicory seed\"},\n {\"box_2d\": [555, 552, 596, 574], \"label\": \"chicory seed\"},\n {\"box_2d\": [572, 566, 612, 600], \"label\": \"chicory seed\"},\n {\"box_2d\": [573, 436, 594, 480], \"label\": \"chicory seed\"},\n {\"box_2d\": [548, 424, 572, 469], \"label\": \"chicory seed\"},\n {\"box_2d\": [525, 420, 555, 462], \"label\": \"chicory seed\"},\n {\"box_2d\": [514, 405, 543, 444], \"label\": \"chicory seed\"},\n {\"box_2d\": [465, 399, 507, 421], \"label\": \"chicory seed\"},\n {\"box_2d\": [475, 419, 515, 449], \"label\": \"chicory seed\"},\n {\"box_2d\": [471, 452, 510, 484], \"label\": \"chicory seed\"},\n {\"box_2d\": [482, 479, 524, 502], \"label\": \"chicory seed\"},\n {\"box_2d\": [475, 499, 517, 525], \"label\": \"chicory seed\"},\n {\"box_2d\": [496, 508, 535, 538], \"label\": \"chicory seed\"},\n {\"box_2d\": [506, 533, 529, 578], \"label\": \"chicory seed\"},\n {\"box_2d\": [529, 571, 567, 591], \"label\": \"chicory seed\"},\n {\"box_2d\": [532, 588, 577, 612], \"label\": \"chicory seed\"},\n {\"box_2d\": [537, 607, 558, 644], \"label\": \"chicory seed\"},\n {\"box_2d\": [556, 610, 594, 644], \"label\": \"chicory seed\"},\n {\"box_2d\": [556, 636, 597, 669], \"label\": \"chicory seed\"},\n {\"box_2d\": [588, 635, 620, 672], \"label\": \"chicory seed\"},\n {\"box_2d\": [577, 601, 610, 640], \"label\": \"chicory seed\"},\n {\"box_2d\": [519, 669, 560, 690], \"label\": \"chicory seed\"},\n {\"box_2d\": [511, 636, 542, 669], \"label\": \"chicory seed\"},\n {\"box_2d\": [493, 658, 531, 690], \"label\": \"chicory seed\"},\n {\"box_2d\": [479, 654, 514, 677], \"label\": \"chicory seed\"},\n {\"box_2d\": [455, 466, 476, 511], \"label\": \"chicory seed\"},\n {\"box_2d\": [476, 522, 506, 563], \"label\": \"chicory seed\"},\n {\"box_2d\": [496, 557, 524, 599], \"label\": \"chicory seed\"},\n {\"box_2d\": [515, 594, 535, 633], \"label\": \"chicory seed\"},\n {\"box_2d\": [482, 576, 518, 617], \"label\": \"chicory seed\"},\n {\"box_2d\": [484, 611, 524, 638], \"label\": \"chicory seed\"},\n {\"box_2d\": [468, 618, 502, 657], \"label\": \"chicory seed\"},\n {\"box_2d\": [460, 643, 482, 684], \"label\": \"chicory seed\"},\n {\"box_2d\": [441, 649, 463, 692], \"label\": \"chicory seed\"},\n {\"box_2d\": [416, 644, 444, 687], \"label\": \"chicory seed\"},\n {\"box_2d\": [401, 633, 436, 672], \"label\": \"chicory seed\"},\n {\"box_2d\": [393, 622, 431, 653], \"label\": \"chicory seed\"},\n {\"box_2d\": [389, 657, 419, 695], \"label\": \"chicory seed\"},\n {\"box_2d\": [369, 633, 394, 678], \"label\": \"chicory seed\"},\n {\"box_2d\": [349, 615, 381, 658], \"label\": \"chicory seed\"},\n {\"box_2d\": [379, 608, 421, 635], \"label\": \"chicory seed\"},\n {\"box_2d\": [369, 593, 413, 615], \"label\": \"chicory seed\"},\n {\"box_2d\": [329, 618, 367, 648], \"label\": \"chicory seed\"},\n {\"box_2d\": [330, 598, 371, 628], \"label\": \"chicory seed\"},\n {\"box_2d\": [329, 578, 375, 602], \"label\": \"chicory seed\"},\n {\"box_2d\": [315, 569, 357, 594], \"label\": \"chicory seed\"},\n {\"box_2d\": [306, 596, 344, 618], \"label\": \"chicory seed\"},\n {\"box_2d\": [308, 558, 348, 578], \"label\": \"chicory seed\"},\n {\"box_2d\": [332, 545, 374, 578], \"label\": \"chicory seed\"},\n {\"box_2d\": [336, 524, 380, 554], \"label\": \"chicory seed\"},\n {\"box_2d\": [371, 552, 401, 593], \"label\": \"chicory seed\"},\n {\"box_2d\": [397, 576, 439, 606], \"label\": \"chicory seed\"},\n {\"box_2d\": [423, 605, 451, 649], \"label\": \"chicory seed\"},\n {\"box_2d\": [441, 604, 472, 645], \"label\": \"chicory seed\"},\n {\"box_2d\": [445, 584, 477, 625], \"label\": \"chicory seed\"},\n {\"box_2d\": [461, 574, 491, 618], \"label\": \"chicory seed\"},\n {\"box_2d\": [457, 545, 499, 579], \"label\": \"chicory seed\"},\n {\"box_2d\": [447, 515, 481, 553], \"label\": \"chicory seed\"},\n {\"box_2d\": [438, 543, 470, 583], \"label\": \"chicory seed\"},\n {\"box_2d\": [421, 553, 450, 595], \"label\": \"chicory seed\"},\n {\"box_2d\": [387, 549, 426, 585], \"label\": \"chicory seed\"},\n {\"box_2d\": [387, 524, 424, 563], \"label\": \"chicory seed\"},\n {\"box_2d\": [404, 513, 438, 555], \"label\": \"chicory seed\"},\n {\"box_2d\": [417, 501, 450, 544], \"label\": \"chicory seed\"},\n {\"box_2d\": [426, 477, 452, 521], \"label\": \"chicory seed\"},\n {\"box_2d\": [377, 493, 401, 537], \"label\": \"chicory seed\"},\n {\"box_2d\": [390, 478, 424, 514], \"label\": \"chicory seed\"},\n {\"box_2d\": [398, 459, 431, 501], \"label\": \"chicory seed\"},\n {\"box_2d\": [384, 440, 416, 478], \"label\": \"chicory seed\"},\n {\"box_2d\": [426, 444, 467, 475], \"label\": \"chicory seed\"},\n {\"box_2d\": [420, 431, 461, 463], \"label\": \"chicory seed\"},\n {\"box_2d\": [406, 410, 434, 446], \"label\": \"chicory seed\"},\n {\"box_2d\": [419, 396, 454, 433], \"label\": \"chicory seed\"},\n {\"box_2d\": [435, 387, 469, 430], \"label\": \"chicory seed\"},\n {\"box_2d\": [401, 377, 444, 403], \"label\": \"chicory seed\"},\n {\"box_2d\": [367, 375, 409, 397], \"label\": \"chicory seed\"},\n {\"box_2d\": [363, 396, 389, 435], \"label\": \"chicory seed\"},\n {\"box_2d\": [375, 405, 401, 447], \"label\": \"chicory seed\"},\n {\"box_2d\": [357, 450, 391, 490], \"label\": \"chicory seed\"},\n {\"box_2d\": [343, 430, 380, 462], \"label\": \"chicory seed\"},\n {\"box_2d\": [332, 437, 360, 481], \"label\": \"chicory seed\"},\n {\"box_2d\": [317, 455, 340, 502], \"label\": \"chicory seed\"},\n {\"box_2d\": [324, 495, 367, 522], \"label\": \"chicory seed\"},\n {\"box_2d\": [293, 532, 313, 577], \"label\": \"chicory seed\"},\n {\"box_2d\": [309, 516, 335, 559], \"label\": \"chicory seed\"},\n {\"box_2d\": [288, 498, 325, 531], \"label\": \"chicory seed\"},\n {\"box_2d\": [290, 459, 320, 499], \"label\": \"chicory seed\"},\n {\"box_2d\": [286, 442, 327, 468], \"label\": \"chicory seed\"},\n {\"box_2d\": [297, 428, 333, 455], \"label\": \"chicory seed\"},\n {\"box_2d\": [299, 407, 336, 439], \"label\": \"chicory seed\"},\n {\"box_2d\": [320, 389, 347, 433], \"label\": \"chicory seed\"},\n {\"box_2d\": [344, 386, 368, 431], \"label\": \"chicory seed\"},\n {\"box_2d\": [341, 353, 381, 387], \"label\": \"chicory seed\"},\n {\"box_2d\": [346, 312, 374, 356], \"label\": \"chicory seed\"},\n {\"box_2d\": [335, 321, 357, 366], \"label\": \"chicory seed\"},\n {\"box_2d\": [319, 346, 343, 389], \"label\": \"chicory seed\"},\n {\"box_2d\": [290, 364, 327, 400], \"label\": \"chicory seed\"},\n {\"box_2d\": [271, 373, 311, 403], \"label\": \"chicory seed\"},\n {\"box_2d\": [280, 398, 300, 441], \"label\": \"chicory seed\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 10884, "elapsed_seconds": 82.99796279205475, "metadata": {"match_method": "map", "num_predictions": 302, "num_ground_truth": 303, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3366336524486542, "attempts": 1, "retries": 0, "total_seconds": 83.119}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 120, "image": "Screenshot-2024-05-16-144630_png.rf.ac24f71a7370686a36ea1f2bec910257.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [77, 128, 92, 145], \"label\": \"bullet hole\"},\n {\"box_2d\": [8, 120, 27, 138], \"label\": \"bullet hole\"},\n {\"box_2d\": [168, 139, 188, 155], \"label\": \"bullet hole\"},\n {\"box_2d\": [227, 146, 246, 164], \"label\": \"bullet hole\"},\n {\"box_2d\": [179, 342, 199, 362], \"label\": \"bullet hole\"},\n {\"box_2d\": [114, 341, 134, 362], \"label\": \"bullet hole\"},\n {\"box_2d\": [52, 342, 70, 364], \"label\": \"bullet hole\"},\n {\"box_2d\": [101, 566, 120, 583], \"label\": \"bullet hole\"},\n {\"box_2d\": [213, 507, 234, 528], \"label\": \"bullet hole\"},\n {\"box_2d\": [68, 809, 87, 830], \"label\": \"bullet hole\"},\n {\"box_2d\": [139, 795, 160, 816], \"label\": \"bullet hole\"},\n {\"box_2d\": [227, 849, 244, 868], \"label\": \"bullet hole\"},\n {\"box_2d\": [224, 671, 246, 694], \"label\": \"bullet hole\"},\n {\"box_2d\": [258, 612, 276, 631], \"label\": \"bullet hole\"},\n {\"box_2d\": [321, 670, 338, 692], \"label\": \"bullet hole\"},\n {\"box_2d\": [332, 836, 355, 856], \"label\": \"bullet hole\"},\n {\"box_2d\": [389, 829, 415, 849], \"label\": \"bullet hole\"},\n {\"box_2d\": [313, 561, 333, 581], \"label\": \"bullet hole\"},\n {\"box_2d\": [360, 610, 381, 630], \"label\": \"bullet hole\"},\n {\"box_2d\": [351, 276, 373, 297], \"label\": \"bullet hole\"},\n {\"box_2d\": [423, 222, 444, 242], \"label\": \"bullet hole\"},\n {\"box_2d\": [475, 158, 487, 170], \"label\": \"bullet hole\"},\n {\"box_2d\": [571, 93, 594, 114], \"label\": \"bullet hole\"},\n {\"box_2d\": [635, 36, 646, 54], \"label\": \"bullet hole\"},\n {\"box_2d\": [612, 248, 631, 269], \"label\": \"bullet hole\"},\n {\"box_2d\": [568, 273, 590, 293], \"label\": \"bullet hole\"},\n {\"box_2d\": [581, 363, 603, 385], \"label\": \"bullet hole\"},\n {\"box_2d\": [529, 464, 553, 486], \"label\": \"bullet hole\"},\n {\"box_2d\": [586, 612, 609, 632], \"label\": \"bullet hole\"},\n {\"box_2d\": [685, 610, 709, 631], \"label\": \"bullet hole\"},\n {\"box_2d\": [687, 452, 709, 471], \"label\": \"bullet hole\"},\n {\"box_2d\": [721, 357, 742, 380], \"label\": \"bullet hole\"},\n {\"box_2d\": [745, 259, 763, 283], \"label\": \"bullet hole\"},\n {\"box_2d\": [744, 173, 761, 191], \"label\": \"bullet hole\"},\n {\"box_2d\": [797, 238, 819, 255], \"label\": \"bullet hole\"},\n {\"box_2d\": [783, 344, 804, 362], \"label\": \"bullet hole\"},\n {\"box_2d\": [854, 324, 875, 341], \"label\": \"bullet hole\"},\n {\"box_2d\": [929, 170, 944, 186], \"label\": \"bullet hole\"},\n {\"box_2d\": [881, 456, 904, 477], \"label\": \"bullet hole\"},\n {\"box_2d\": [812, 519, 833, 539], \"label\": \"bullet hole\"},\n {\"box_2d\": [935, 539, 953, 560], \"label\": \"bullet hole\"},\n {\"box_2d\": [863, 610, 880, 631], \"label\": \"bullet hole\"},\n {\"box_2d\": [891, 782, 912, 801], \"label\": \"bullet hole\"},\n {\"box_2d\": [895, 889, 916, 907], \"label\": \"bullet hole\"}\n]\n```", "correct": false, "input_tokens": 1222, "output_tokens": 1540, "elapsed_seconds": 22.528877000091597, "metadata": {"match_method": "map", "num_predictions": 44, "num_ground_truth": 44, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.038588475435972214, "attempts": 1, "retries": 0, "total_seconds": 22.5592}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 121, "image": "GP010255_JPG_jpg.rf.a9c124de642391662cf0875377214d1e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [666, 633, 811, 795], \"label\": \"carrot\"},\n {\"box_2d\": [572, 488, 761, 591], \"label\": \"carrot\"},\n {\"box_2d\": [461, 683, 694, 766], \"label\": \"carrot\"},\n {\"box_2d\": [495, 369, 703, 461], \"label\": \"carrot\"},\n {\"box_2d\": [491, 553, 731, 630], \"label\": \"carrot\"},\n {\"box_2d\": [517, 467, 720, 520], \"label\": \"carrot\"},\n {\"box_2d\": [461, 623, 667, 688], \"label\": \"carrot\"},\n {\"box_2d\": [438, 331, 478, 520], \"label\": \"carrot\"},\n {\"box_2d\": [461, 381, 620, 475], \"label\": \"carrot\"},\n {\"box_2d\": [381, 514, 631, 577], \"label\": \"carrot\"},\n {\"box_2d\": [306, 645, 458, 788], \"label\": \"carrot\"},\n {\"box_2d\": [447, 275, 709, 344], \"label\": \"carrot\"},\n {\"box_2d\": [311, 303, 488, 367], \"label\": \"carrot\"},\n {\"box_2d\": [238, 345, 434, 444], \"label\": \"carrot\"},\n {\"box_2d\": [211, 319, 342, 395], \"label\": \"carrot\"},\n {\"box_2d\": [138, 281, 291, 419], \"label\": \"carrot\"},\n {\"box_2d\": [178, 381, 302, 623], \"label\": \"carrot\"},\n {\"box_2d\": [181, 591, 342, 777], \"label\": \"carrot\"},\n {\"box_2d\": [275, 430, 419, 616], \"label\": \"carrot\"},\n {\"box_2d\": [123, 509, 200, 770], \"label\": \"carrot\"},\n {\"box_2d\": [92, 347, 245, 559], \"label\": \"carrot\"},\n {\"box_2d\": [66, 523, 166, 784], \"label\": \"carrot\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 758, "elapsed_seconds": 10.017725707963109, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 10.0436}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 122, "image": "20210325_203749_jpg.rf.1705fa1e1420cef9584e0f51c930586c.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [200, 134, 405, 347], \"label\": \"50 euro cent coin\"},\n {\"box_2d\": [134, 425, 327, 622], \"label\": \"1 euro coin\"},\n {\"box_2d\": [158, 683, 322, 852], \"label\": \"10 euro cent coin\"},\n {\"box_2d\": [439, 227, 603, 394], \"label\": \"2 euro cent coin\"},\n {\"box_2d\": [367, 481, 505, 620], \"label\": \"1 euro cent coin\"},\n {\"box_2d\": [384, 750, 562, 933], \"label\": \"5 euro cent coin\"},\n {\"box_2d\": [612, 419, 805, 609], \"label\": \"20 euro cent coin\"},\n {\"box_2d\": [611, 634, 833, 858], \"label\": \"2 euro coin\"}\n]\n```", "correct": true, "input_tokens": 1272, "output_tokens": 309, "elapsed_seconds": 5.067083374946378, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 5.0873}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 123, "image": "53_jpeg_jpg.rf.827706d6e6ec3d14c5952c8d4c752e99.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [715, 65, 795, 193], \"label\": \"potato\"},\n {\"box_2d\": [922, 13, 1000, 109], \"label\": \"potato\"},\n {\"box_2d\": [926, 437, 1000, 526], \"label\": \"potato\"},\n {\"box_2d\": [715, 415, 859, 499], \"label\": \"potato\"},\n {\"box_2d\": [490, 574, 619, 688], \"label\": \"potato\"},\n {\"box_2d\": [520, 699, 623, 801], \"label\": \"potato\"},\n {\"box_2d\": [721, 625, 820, 717], \"label\": \"potato\"},\n {\"box_2d\": [920, 676, 1000, 770], \"label\": \"potato\"},\n {\"box_2d\": [719, 890, 801, 970], \"label\": \"potato\"},\n {\"box_2d\": [514, 845, 621, 947], \"label\": \"potato\"},\n {\"box_2d\": [314, 849, 428, 950], \"label\": \"potato\"},\n {\"box_2d\": [90, 378, 203, 490], \"label\": \"potato\"},\n {\"box_2d\": [129, 957, 250, 999], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1240, "output_tokens": 454, "elapsed_seconds": 7.906789957894944, "metadata": {"match_method": "map", "num_predictions": 13, "num_ground_truth": 13, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 7.9494}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 124, "image": "car-part-detection_Car-damages-1749_png_jpg.rf.841bd72a48ea0726dc55d3cf93207af1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [562, 60, 725, 118], \"label\": \"back bumper\"},\n {\"box_2d\": [432, 74, 549, 130], \"label\": \"tail light\"},\n {\"box_2d\": [278, 198, 721, 464], \"label\": \"back door\"},\n {\"box_2d\": [283, 210, 444, 431], \"label\": \"back window\"},\n {\"box_2d\": [280, 455, 459, 686], \"label\": \"front window\"},\n {\"box_2d\": [406, 675, 469, 711], \"label\": \"mirror\"},\n {\"box_2d\": [401, 742, 460, 919], \"label\": \"hood\"},\n {\"box_2d\": [572, 896, 712, 987], \"label\": \"front bumper\"},\n {\"box_2d\": [278, 443, 721, 743], \"label\": \"front door\"},\n {\"box_2d\": [298, 86, 421, 160], \"label\": \"back windshield\"},\n {\"box_2d\": [535, 926, 578, 950], \"label\": \"headlight\"},\n {\"box_2d\": [324, 639, 448, 769], \"label\": \"windshield\"}\n]\n```", "correct": false, "input_tokens": 1246, "output_tokens": 427, "elapsed_seconds": 12.53008191601839, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 13, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7087457776069641, "attempts": 1, "retries": 0, "total_seconds": 12.5607}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 125, "image": "1704196661687_jpg.rf.15374227e4fbd79145880dc340991d51.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [77, 452, 173, 520], \"label\": \"bean grain\"},\n {\"box_2d\": [111, 586, 197, 675], \"label\": \"bean grain\"},\n {\"box_2d\": [189, 305, 297, 378], \"label\": \"bean grain\"},\n {\"box_2d\": [202, 144, 286, 212], \"label\": \"bean grain\"},\n {\"box_2d\": [219, 536, 297, 642], \"label\": \"bean grain\"},\n {\"box_2d\": [191, 817, 270, 912], \"label\": \"bean grain\"},\n {\"box_2d\": [373, 134, 445, 238], \"label\": \"bean grain\"},\n {\"box_2d\": [455, 381, 538, 480], \"label\": \"bean grain\"},\n {\"box_2d\": [389, 716, 492, 795], \"label\": \"bean grain\"},\n {\"box_2d\": [548, 566, 625, 667], \"label\": \"bean grain\"},\n {\"box_2d\": [541, 859, 611, 962], \"label\": \"bean grain\"},\n {\"box_2d\": [638, 766, 700, 862], \"label\": \"bean grain\"},\n {\"box_2d\": [647, 405, 712, 500], \"label\": \"bean grain\"},\n {\"box_2d\": [611, 161, 691, 267], \"label\": \"bean grain\"},\n {\"box_2d\": [803, 344, 891, 439], \"label\": \"bean grain\"},\n {\"box_2d\": [755, 558, 842, 648], \"label\": \"bean grain\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 571, "elapsed_seconds": 29.44706545805093, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 29.4666}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 126, "image": "fall-detection_13_mp4-274_jpg.rf.81d37af519564fd17e00cbdde20bedcf.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [384, 520, 444, 623], \"label\": \"fallen person\"},\n {\"box_2d\": [381, 470, 434, 550], \"label\": \"fallen person\"},\n {\"box_2d\": [423, 588, 473, 725], \"label\": \"fallen person\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 117, "elapsed_seconds": 6.313375500030816, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 6.3297}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 127, "image": "tile_672_jpg.rf.563bc07bfb63272303ba7c8beec3dfd0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [24, 444, 79, 471], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [219, 712, 260, 738], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [332, 830, 355, 850], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [438, 682, 470, 702], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [471, 829, 521, 862], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [375, 336, 395, 365], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [515, 365, 539, 389], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [610, 426, 628, 449], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [602, 691, 629, 706], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [691, 824, 734, 858], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [876, 850, 916, 872], \"label\": \"ship in SAR satellite image\"}\n]\n```", "correct": true, "input_tokens": 1229, "output_tokens": 428, "elapsed_seconds": 15.716982541955076, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9108911156654358, "attempts": 1, "retries": 0, "total_seconds": 15.762}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 128, "image": "Screenshot-2024-05-16-150353_png.rf.28f931ef1556f4fbfc5b8964a85b5e08.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [77, 984, 111, 1000], \"label\": \"bullet hole\"},\n {\"box_2d\": [123, 896, 155, 926], \"label\": \"bullet hole\"},\n {\"box_2d\": [111, 761, 145, 795], \"label\": \"bullet hole\"},\n {\"box_2d\": [82, 598, 113, 629], \"label\": \"bullet hole\"},\n {\"box_2d\": [28, 413, 62, 449], \"label\": \"bullet hole\"},\n {\"box_2d\": [68, 335, 102, 369], \"label\": \"bullet hole\"},\n {\"box_2d\": [181, 467, 213, 500], \"label\": \"bullet hole\"},\n {\"box_2d\": [194, 376, 228, 405], \"label\": \"bullet hole\"},\n {\"box_2d\": [251, 282, 285, 319], \"label\": \"bullet hole\"},\n {\"box_2d\": [326, 224, 357, 256], \"label\": \"bullet hole\"},\n {\"box_2d\": [387, 255, 421, 289], \"label\": \"bullet hole\"},\n {\"box_2d\": [460, 299, 491, 334], \"label\": \"bullet hole\"},\n {\"box_2d\": [430, 81, 462, 116], \"label\": \"bullet hole\"},\n {\"box_2d\": [509, 55, 540, 91], \"label\": \"bullet hole\"},\n {\"box_2d\": [374, 2, 408, 35], \"label\": \"bullet hole\"},\n {\"box_2d\": [298, 66, 334, 102], \"label\": \"bullet hole\"},\n {\"box_2d\": [202, 159, 238, 194], \"label\": \"bullet hole\"},\n {\"box_2d\": [108, 79, 142, 115], \"label\": \"bullet hole\"},\n {\"box_2d\": [206, 12, 240, 44], \"label\": \"bullet hole\"},\n {\"box_2d\": [23, 35, 51, 69], \"label\": \"bullet hole\"},\n {\"box_2d\": [66, 152, 98, 181], \"label\": \"bullet hole\"},\n {\"box_2d\": [338, 761, 374, 795], \"label\": \"bullet hole\"},\n {\"box_2d\": [430, 619, 462, 655], \"label\": \"bullet hole\"},\n {\"box_2d\": [547, 798, 579, 829], \"label\": \"bullet hole\"},\n {\"box_2d\": [585, 672, 623, 705], \"label\": \"bullet hole\"},\n {\"box_2d\": [734, 646, 766, 678], \"label\": \"bullet hole\"},\n {\"box_2d\": [794, 760, 826, 790], \"label\": \"bullet hole\"},\n {\"box_2d\": [709, 315, 740, 349], \"label\": \"bullet hole\"},\n {\"box_2d\": [709, 150, 743, 182], \"label\": \"bullet hole\"},\n {\"box_2d\": [809, 320, 842, 353], \"label\": \"bullet hole\"},\n {\"box_2d\": [826, 182, 858, 215], \"label\": \"bullet hole\"},\n {\"box_2d\": [811, 108, 845, 139], \"label\": \"bullet hole\"},\n {\"box_2d\": [917, 175, 949, 206], \"label\": \"bullet hole\"},\n {\"box_2d\": [398, 985, 430, 1000], \"label\": \"bullet hole\"}\n]\n```", "correct": false, "input_tokens": 1222, "output_tokens": 1183, "elapsed_seconds": 12.216628749971278, "metadata": {"match_method": "map", "num_predictions": 34, "num_ground_truth": 34, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6736907362937927, "attempts": 1, "retries": 0, "total_seconds": 12.2342}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 129, "image": "9999942_00000_d_0000179_jpg.rf.00eabf74c1cd10c40aa228a466f9fe04.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [721, 256, 745, 274], \"label\": \"person\"},\n {\"box_2d\": [652, 111, 709, 177], \"label\": \"car\"},\n {\"box_2d\": [612, 129, 661, 199], \"label\": \"car\"},\n {\"box_2d\": [364, 56, 417, 99], \"label\": \"car\"},\n {\"box_2d\": [357, 16, 411, 59], \"label\": \"car\"},\n {\"box_2d\": [344, 0, 393, 21], \"label\": \"car\"},\n {\"box_2d\": [336, 139, 391, 169], \"label\": \"van\"},\n {\"box_2d\": [330, 189, 381, 223], \"label\": \"car\"},\n {\"box_2d\": [334, 249, 370, 299], \"label\": \"van\"},\n {\"box_2d\": [298, 276, 329, 324], \"label\": \"car\"},\n {\"box_2d\": [298, 379, 329, 424], \"label\": \"car\"},\n {\"box_2d\": [375, 372, 408, 421], \"label\": \"car\"},\n {\"box_2d\": [433, 355, 469, 407], \"label\": \"car\"},\n {\"box_2d\": [464, 345, 503, 399], \"label\": \"car\"},\n {\"box_2d\": [306, 681, 340, 719], \"label\": \"car\"},\n {\"box_2d\": [457, 771, 479, 783], \"label\": \"person\"},\n {\"box_2d\": [329, 969, 367, 995], \"label\": \"car\"},\n {\"box_2d\": [175, 833, 273, 876], \"label\": \"bus\"},\n {\"box_2d\": [250, 811, 269, 819], \"label\": \"person\"},\n {\"box_2d\": [113, 976, 148, 1000], \"label\": \"van\"},\n {\"box_2d\": [121, 954, 136, 963], \"label\": \"person\"},\n {\"box_2d\": [46, 913, 68, 927], \"label\": \"car\"},\n {\"box_2d\": [54, 880, 70, 886], \"label\": \"person\"},\n {\"box_2d\": [41, 764, 100, 785], \"label\": \"bus\"},\n {\"box_2d\": [80, 395, 103, 423], \"label\": \"car\"},\n {\"box_2d\": [75, 938, 129, 967], \"label\": \"truck\"}\n]\n```", "correct": false, "input_tokens": 1217, "output_tokens": 883, "elapsed_seconds": 34.616131125018, "metadata": {"match_method": "map", "num_predictions": 26, "num_ground_truth": 36, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.4352501928806305, "attempts": 1, "retries": 0, "total_seconds": 34.7206}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 130, "image": "125_jpg.rf.c69f3d1b75a33297315d1889af6311e9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [504, 151, 632, 186], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [349, 267, 391, 306], \"label\": \"resistor symbol\"},\n {\"box_2d\": [523, 372, 686, 393], \"label\": \"resistor symbol\"},\n {\"box_2d\": [345, 463, 384, 511], \"label\": \"resistor symbol\"},\n {\"box_2d\": [550, 634, 717, 656], \"label\": \"resistor symbol\"},\n {\"box_2d\": [143, 734, 248, 784], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [357, 720, 403, 774], \"label\": \"resistor symbol\"},\n {\"box_2d\": [512, 839, 643, 860], \"label\": \"resistor symbol\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 302, "elapsed_seconds": 5.411008832976222, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 5.419}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 131, "image": "IMG_20250815_164311_jpg.rf.83efd32a603d001fd15e3979d744bb04.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [553, 185, 616, 260], \"label\": \"barcode\"},\n {\"box_2d\": [627, 695, 697, 771], \"label\": \"barcode\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 80, "elapsed_seconds": 57.26309279096313, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 57.7525}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 132, "image": "Container-259_jpg.rf.0707fcc208504e8c70d360815ec87ed2.jpg", "expected": "", "predicted": "```json\n[{\"box_2d\": [237, 580, 294, 728], \"label\": \"shipping container number\"},\n{\"box_2d\": [288, 581, 319, 636], \"label\": \"container ISO type code\"}]```", "correct": true, "input_tokens": 1232, "output_tokens": 78, "elapsed_seconds": 3.908773750066757, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 3.9244}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 133, "image": "1704195139360_jpg.rf.325f2c91dbc2bf8869d0a95b29652b2f.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [748, 742, 792, 794], \"label\": \"lentil grain\"},\n {\"box_2d\": [797, 434, 834, 480], \"label\": \"lentil grain\"},\n {\"box_2d\": [631, 534, 672, 576], \"label\": \"lentil grain\"},\n {\"box_2d\": [614, 616, 653, 661], \"label\": \"lentil grain\"},\n {\"box_2d\": [553, 433, 592, 475], \"label\": \"lentil grain\"},\n {\"box_2d\": [412, 250, 455, 297], \"label\": \"lentil grain\"},\n {\"box_2d\": [206, 436, 250, 483], \"label\": \"lentil grain\"},\n {\"box_2d\": [117, 734, 159, 783], \"label\": \"lentil grain\"},\n {\"box_2d\": [336, 562, 375, 606], \"label\": \"lentil grain\"},\n {\"box_2d\": [470, 614, 509, 653], \"label\": \"lentil grain\"},\n {\"box_2d\": [533, 861, 575, 909], \"label\": \"lentil grain\"},\n {\"box_2d\": [308, 750, 347, 791], \"label\": \"lentil grain\"},\n {\"box_2d\": [303, 822, 339, 867], \"label\": \"lentil grain\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 480, "elapsed_seconds": 6.094666999997571, "metadata": {"match_method": "map", "num_predictions": 13, "num_ground_truth": 13, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 6.1106}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 134, "image": "IMG_20250815_165037_jpg.rf.d4afcf541c2eaa2a500b0fc3e74f380a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [760, 823,, 796, 859], \"label\": \"barcode\"},\n {\"box_2d\": [804, 665,, 890, 706], \"label\": \"barcode\"},\n {\"box_2d\": [797, 220,, 888, 267], \"label\": \"barcode\"},\n {\"box_2d\": [123, 265,, 214, 311], \"label\": \"barcode\"},\n {\"box_2d\": [809, 430,, 899, 474], \"label\": \"barcode\"},\n {\"box_2d\": [304, 427,, 342, 471], \"label\": \"barcode\"},\n {\"box_2d\": [274, 566,, 310, 608], \"label\": \"barcode\"},\n {\"box_2d\": [280, 843,, 360, 881], \"label\": \"barcode\"}\n]\n```", "correct": false, "input_tokens": 1214, "output_tokens": 292, "elapsed_seconds": 48.62584070803132, "metadata": {"match_method": "map", "num_predictions": 0, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 49.0414}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 135, "image": "frame_0213_jpg.rf.a492e6ad2bcd535fad151a853f122d53.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [77, 127, 138, 165], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [88, 253, 145, 290], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [173, 232, 232, 272], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [427, 234, 493, 273], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [635, 241, 703, 282], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [737, 349, 821, 394], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [624, 362, 695, 405], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [535, 365, 610, 404], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [710, 452, 788, 494], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [834, 470, 912, 511], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [678, 549, 746, 611], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [558, 562, 626, 603], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [421, 466, 482, 503], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [419, 547, 482, 582], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [273, 443, 333, 475], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [166, 349, 227, 384], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [191, 456, 242, 488], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [52, 412, 108, 449], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [108, 554, 166, 587], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [211, 546, 269, 580], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [285, 546, 339, 579], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [65, 620, 117, 651], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [545, 669, 608, 707], \"label\": \"garlic on conveyor\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 836, "elapsed_seconds": 45.546318707987666, "metadata": {"match_method": "map", "num_predictions": 23, "num_ground_truth": 23, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 45.6809}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 136, "image": "1668147836__jpg.rf.c1a720811dddd913a56ced8dd87e3a53.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [52, 362, 111, 389], \"label\": \"three die\"},\n {\"box_2d\": [46, 714, 108, 745], \"label\": \"five die\"},\n {\"box_2d\": [214, 742, 274, 773], \"label\": \"three die\"},\n {\"box_2d\": [261, 565, 325, 598], \"label\": \"five die\"},\n {\"box_2d\": [315, 526, 379, 560], \"label\": \"five die\"},\n {\"box_2d\": [341, 480, 396, 509], \"label\": \"six die\"},\n {\"box_2d\": [233, 410, 290, 437], \"label\": \"two die\"},\n {\"box_2d\": [274, 283, 330, 311], \"label\": \"four die\"},\n {\"box_2d\": [244, 141, 309, 177], \"label\": \"four die\"},\n {\"box_2d\": [246, 179, 301, 207], \"label\": \"one die\"},\n {\"box_2d\": [404, 350, 455, 377], \"label\": \"four die\"},\n {\"box_2d\": [428, 379, 487, 411], \"label\": \"five die\"},\n {\"box_2d\": [461, 315, 525, 349], \"label\": \"four die\"},\n {\"box_2d\": [494, 148, 553, 181], \"label\": \"five die\"},\n {\"box_2d\": [525, 274, 578, 303], \"label\": \"five die\"},\n {\"box_2d\": [566, 283, 624, 316], \"label\": \"five die\"},\n {\"box_2d\": [583, 350, 635, 378], \"label\": \"five die\"},\n {\"box_2d\": [661, 274, 715, 306], \"label\": \"four die\"},\n {\"box_2d\": [618, 138, 680, 174], \"label\": \"five die\"},\n {\"box_2d\": [647, 190, 705, 223], \"label\": \"six die\"},\n {\"box_2d\": [759, 183, 819, 217], \"label\": \"four die\"},\n {\"box_2d\": [726, 210, 786, 245], \"label\": \"five die\"},\n {\"box_2d\": [734, 244, 788, 274], \"label\": \"two die\"},\n {\"box_2d\": [712, 277, 761, 305], \"label\": \"six die\"},\n {\"box_2d\": [758, 271, 810, 301], \"label\": \"four die\"},\n {\"box_2d\": [811, 241, 870, 274], \"label\": \"six die\"},\n {\"box_2d\": [786, 300, 840, 330], \"label\": \"five die\"},\n {\"box_2d\": [895, 404, 956, 437], \"label\": \"one die\"},\n {\"box_2d\": [634, 436, 697, 470], \"label\": \"four die\"},\n {\"box_2d\": [734, 463, 792, 494], \"label\": \"four die\"},\n {\"box_2d\": [697, 509, 750, 537], \"label\": \"six die\"},\n {\"box_2d\": [604, 568, 658, 597], \"label\": \"five die\"},\n {\"box_2d\": [537, 628, 590, 656], \"label\": \"four die\"},\n {\"box_2d\": [532, 458, 596, 492], \"label\": \"four die\"},\n {\"box_2d\": [468, 567, 525, 597], \"label\": \"three die\"},\n {\"box_2d\": [399, 569, 458, 601], \"label\": \"one die\"},\n {\"box_2d\": [344, 564, 398, 592], \"label\": \"three die\"},\n {\"box_2d\": [372, 657, 426, 685], \"label\": \"one die\"},\n {\"box_2d\": [341, 731, 406, 767], \"label\": \"three die\"},\n {\"box_2d\": [429, 799, 485, 830], \"label\": \"six die\"},\n {\"box_2d\": [434, 828, 496, 860], \"label\": \"three die\"},\n {\"box_2d\": [547, 848, 607, 882], \"label\": \"one die\"},\n {\"box_2d\": [558, 902, 621, 937], \"label\": \"one die\"},\n {\"box_2d\": [642, 760, 694, 789], \"label\": \"six die\"},\n {\"box_2d\": [750, 717, 811, 752], \"label\": \"three die\"},\n {\"box_2d\": [756, 792, 815, 826], \"label\": \"six die\"},\n {\"box_2d\": [723, 826, 780, 858], \"label\": \"four die\"},\n {\"box_2d\": [800, 824, 854, 854], \"label\": \"one die\"},\n {\"box_2d\": [805, 909, 859, 941], \"label\": \"two die\"},\n {\"box_2d\": [913, 777, 962, 806], \"label\": \"one die\"}\n]\n```", "correct": false, "input_tokens": 1252, "output_tokens": 1760, "elapsed_seconds": 21.309716916061006, "metadata": {"match_method": "map", "num_predictions": 50, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.599210262298584, "attempts": 1, "retries": 0, "total_seconds": 21.3708}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 137, "image": "Lego_170_high_jpeg.rf.173b945a080a292465fe84cab83086af.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [749, 498,, 847, 567], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [590, 320,, 666, 429], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [544, 346,, 623, 458], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [618, 417,, 688, 502], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [694, 474,, 756, 578], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [633, 103,, 695, 195], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [694, 281,, 764, 384], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [644, 219,, 744, 289], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [649, 253,, 723, 344], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [715, 423,, 801, 500], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [517, 257,, 591, 362], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [471, 391,, 555, 481], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [470, 465,, 565, 545], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [395, 378,, 491, 426], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [379, 426,, 451, 526], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [330, 296,, 377, 400], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [390, 102,, 477, 199], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [364, 36,,, 444, 138], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [252, 155,, 314, 265], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [194, 151,, 269, 255], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [196, 85,,, 282, 185], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [114, 95,,, 217, 208], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [84, 238,, 154, 344], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [150, 307,, 205, 394], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [224, 498,, 330, 600], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [260, 577,, 344, 653], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [334, 753,, 409, 837], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [407, 770,, 487, 831], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [482, 710,, 581, 767], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [534, 756,, 639, 825], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [583, 929,, 665, 991], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [700, 896,, 785, 960], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [733, 826,, 809, 892], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [669, 825,, 742, 906], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [667, 782,, 766, 833], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [709, 699,, 796, 779], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [804, 815,, 885, 898], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [849, 796,, 930, 881], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [117, 735,, 174, 831], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [118, 878,, 162, 973], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [175, 813,, 269, 917], \"label\": \"lego 4x2 brick\"}\n]\n```", "correct": false, "input_tokens": 1244, "output_tokens": 1651, "elapsed_seconds": 21.084707958973013, "metadata": {"match_method": "map", "num_predictions": 0, "num_ground_truth": 42, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 21.1834}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 138, "image": "DJI_0290_JPG_jpg.rf.052c45a410708d5965bfee1fe9dd1918.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [489, 371, 588, 483], \"label\": \"excavator\"},\n {\"box_2d\": [290, 417, 360, 487], \"label\": \"concrete mixer\"},\n {\"box_2d\": [199, 303, 246, 346], \"label\": \"dump truck\"},\n {\"box_2d\": [134, 219, 174, 250], \"label\": \"concrete mixer\"},\n {\"box_2d\": [447, 837, 528, 932], \"label\": \"dump truck\"},\n {\"box_2d\": [57, 1, 999, 146], \"label\": \"tower crane\"},\n {\"box_2d\": [321, 195, 366, 245], \"label\": \"excavator\"}\n]\n```", "correct": true, "input_tokens": 1209, "output_tokens": 256, "elapsed_seconds": 267.3347392498981, "metadata": {"match_method": "map", "num_predictions": 7, "num_ground_truth": 6, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 268.5439}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 139, "image": "oil-tank-detection_oiltank_165_jpg.rf.7a5e38aa38fc11f1234038d454ec044d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [584, 15, 709, 118], \"label\": \"oil tank\"},\n {\"box_2d\": [579, 134, 709, 237], \"label\": \"oil tank\"},\n {\"box_2d\": [575, 250, 707, 353], \"label\": \"oil tank\"},\n {\"box_2d\": [556, 366, 695, 480], \"label\": \"oil tank\"},\n {\"box_2d\": [554, 491, 697, 608], \"label\": \"oil tank\"},\n {\"box_2d\": [551, 617, 694, 734], \"label\": \"oil tank\"},\n {\"box_2d\": [546, 745, 686, 864], \"label\": \"oil tank\"},\n {\"box_2d\": [721, 16, 853, 120], \"label\": \"oil tank\"},\n {\"box_2d\": [718, 132, 851, 238], \"label\": \"oil tank\"},\n {\"box_2d\": [713, 250, 845, 355], \"label\": \"oil tank\"},\n {\"box_2d\": [713, 364, 858, 485], \"label\": \"oil tank\"},\n {\"box_2d\": [709, 494, 856, 613], \"label\": \"oil tank\"},\n {\"box_2d\": [704, 623, 851, 741], \"label\": \"oil tank\"},\n {\"box_2d\": [699, 751, 848, 869], \"label\": \"oil tank\"}\n]\n```", "correct": true, "input_tokens": 1217, "output_tokens": 500, "elapsed_seconds": 12.312221125001088, "metadata": {"match_method": "map", "num_predictions": 14, "num_ground_truth": 14, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 12.3874}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 140, "image": "img268_png.rf.77932c9124f7e63f288e2be4179d983b.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [77, 250, 117, 300], \"label\": \"not gate symbol\"},\n {\"box_2d\": [151, 411, 189, 461], \"label\": \"not gate symbol\"},\n {\"box_2d\": [274, 411, 314, 461], \"label\": \"not gate symbol\"},\n {\"box_2d\": [468, 567, 508, 617], \"label\": \"not gate symbol\"},\n {\"box_2d\": [546, 250, 586, 300], \"label\": \"not gate symbol\"},\n {\"box_2d\": [619, 250, 659, 300], \"label\": \"not gate symbol\"},\n {\"box_2d\": [715, 411, 755, 461], \"label\": \"not gate symbol\"},\n {\"box_2d\": [843, 411, 882, 461], \"label\": \"not gate symbol\"},\n {\"box_2d\": [32, 388, 114, 459], \"label\": \"and gate symbol\"},\n {\"box_2d\": [81, 546, 163, 617], \"label\": \"and gate symbol\"},\n {\"box_2d\": [228, 546, 310, 617], \"label\": \"and gate symbol\"},\n {\"box_2d\": [354, 546, 434, 617], \"label\": \"and gate symbol\"},\n {\"box_2d\": [399, 704, 481, 775], \"label\": \"and gate symbol\"},\n {\"box_2d\": [552, 388, 634, 459], \"label\": \"and gate symbol\"},\n {\"box_2d\": [598, 546, 680, 617], \"label\": \"and gate symbol\"},\n {\"box_2d\": [723, 546, 804, 617], \"label\": \"and gate symbol\"},\n {\"box_2d\": [845, 546, 927, 617], \"label\": \"and gate symbol\"},\n {\"box_2d\": [875, 704, 956, 775], \"label\": \"and gate symbol\"},\n {\"box_2d\": [155, 701, 237, 775], \"label\": \"or gate symbol\"},\n {\"box_2d\": [278, 860, 359, 933], \"label\": \"or gate symbol\"},\n {\"box_2d\": [650, 701, 731, 775], \"label\": \"or gate symbol\"},\n {\"box_2d\": [748, 860, 829, 933], \"label\": \"or gate symbol\"}\n]\n```", "correct": true, "input_tokens": 1231, "output_tokens": 801, "elapsed_seconds": 8.04810241702944, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 8.0642}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 141, "image": "170211-2-h_JPG_jpg.rf.4b0d2b71f289bdb00cd0502c7a7a2a5d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [248, 464, 926, 567], \"label\": \"insulator flashover\"}\n]\n```", "correct": false, "input_tokens": 1218, "output_tokens": 49, "elapsed_seconds": 182.94541441707406, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 183.6322}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 142, "image": "floorplan-windows-doors_10361_png.rf.0282a156e3e18e32c9b31eca83a8df92.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [729, 591, 792, 658], \"label\": \"door\"},\n {\"box_2d\": [548, 725, 603, 785], \"label\": \"door\"},\n {\"box_2d\": [482, 591, 538, 654], \"label\": \"door\"},\n {\"box_2d\": [613, 476, 669, 539], \"label\": \"door\"},\n {\"box_2d\": [549, 475, 604, 540], \"label\": \"door\"},\n {\"box_2d\": [357, 703, 412, 767], \"label\": \"door\"},\n {\"box_2d\": [291, 773, 342, 825], \"label\": \"door\"},\n {\"box_2d\": [151, 774, 207, 821], \"label\": \"door\"},\n {\"box_2d\": [92, 121, 152, 189], \"label\": \"door\"},\n {\"box_2d\": [869, 590, 941, 659], \"label\": \"door\"},\n {\"box_2d\": [868, 776, 892, 886], \"label\": \"window\"},\n {\"box_2d\": [867, 290, 890, 398], \"label\": \"window\"},\n {\"box_2d\": [635, 173, 738, 198], \"label\": \"window\"},\n {\"box_2d\": [433, 174, 537, 198], \"label\": \"window\"},\n {\"box_2d\": [311, 174, 414, 198], \"label\": \"window\"},\n {\"box_2d\": [188, 174, 290, 198], \"label\": \"window\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 555, "elapsed_seconds": 53.54522474994883, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 53.6359}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 143, "image": "IMG_0588_jpeg.rf.ff3a785b0ac1ba5a56ab8eed6ca615a1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [32, 571, 95, 646], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [376, 482, 476, 534], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [248, 549, 315, 628], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [237, 742, 317, 818], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [439, 630, 513, 704], \"label\": \"caramel corn jelly bean\"},\n {\"box_2d\": [619, 553, 720, 603], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [631, 735, 737, 785], \"label\": \"mixed berry smoothie jelly bean\"}\n]\n```", "correct": true, "input_tokens": 1219, "output_tokens": 274, "elapsed_seconds": 83.75813337496947, "metadata": {"match_method": "map", "num_predictions": 7, "num_ground_truth": 7, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 83.8054}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 144, "image": "signatures_image_100_png_jpg.rf.1b732e075f2453b4400e76d3923fe526.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [587, 108, 639, 427], \"label\": \"signature\"},\n {\"box_2d\": [463, 127, 543, 444], \"label\": \"signature\"},\n {\"box_2d\": [451, 556, 514, 820], \"label\": \"signature\"},\n {\"box_2d\": [323, 73, 396, 434], \"label\": \"signature\"},\n {\"box_2d\": [344, 526, 389, 891], \"label\": \"signature\"}\n]\n```", "correct": true, "input_tokens": 1200, "output_tokens": 181, "elapsed_seconds": 5.191852750023827, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 5.2055}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 145, "image": "paper-parts_8548_70_jpg.rf.61a39e9181e5ebef57cae728c932b730.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [92, 188, 396, 829], \"label\": \"figure\"},\n {\"box_2d\": [400, 117, 430, 882], \"label\": \"figure caption\"},\n {\"box_2d\": [482, 117, 512, 882], \"label\": \"table caption\"},\n {\"box_2d\": [529, 107, 583, 892], \"label\": \"table\"},\n {\"box_2d\": [633, 118, 654, 312], \"label\": \"subsection\"},\n {\"box_2d\": [674, 117, 723, 882], \"label\": \"paragraph\"},\n {\"box_2d\": [742, 305, 761, 882], \"label\": \"equation\"},\n {\"box_2d\": [779, 118, 880, 882], \"label\": \"paragraph\"},\n {\"box_2d\": [901, 490, 913, 509], \"label\": \"page number\"}\n]\n```", "correct": true, "input_tokens": 1255, "output_tokens": 320, "elapsed_seconds": 7.917243459029123, "metadata": {"match_method": "map", "num_predictions": 9, "num_ground_truth": 9, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8749998807907104, "attempts": 1, "retries": 0, "total_seconds": 7.9752}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 146, "image": "19_jpeg_jpg.rf.34c89435b5ff9122cacb0cab18a49f99.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [32, 19, 129, 105], \"label\": \"potato\"},\n {\"box_2d\": [11, 331, 95, 428], \"label\": \"potato\"},\n {\"box_2d\": [219, 0, 313, 83], \"label\": \"potato\"},\n {\"box_2d\": [185, 277, 297, 356], \"label\": \"potato\"},\n {\"box_2d\": [187, 395, 293, 478], \"label\": \"potato\"},\n {\"box_2d\": [401, 64, 500, 152], \"label\": \"potato\"},\n {\"box_2d\": [403, 326, 507, 414], \"label\": \"potato\"},\n {\"box_2d\": [396, 487, 513, 569], \"label\": \"potato\"},\n {\"box_2d\": [194, 548, 306, 665], \"label\": \"potato\"},\n {\"box_2d\": [23, 783, 133, 895], \"label\": \"potato\"},\n {\"box_2d\": [218, 790, 320, 902], \"label\": \"potato\"},\n {\"box_2d\": [394, 709, 525, 794], \"label\": \"potato\"},\n {\"box_2d\": [603, 58, 710, 177], \"label\": \"potato\"},\n {\"box_2d\": [790, 34, 901, 143], \"label\": \"potato\"},\n {\"box_2d\": [827, 485, 932, 582], \"label\": \"potato\"},\n {\"box_2d\": [608, 780, 716, 866], \"label\": \"potato\"},\n {\"box_2d\": [845, 934, 950, 999], \"label\": \"potato\"},\n {\"box_2d\": [356, 980, 502, 1000], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1240, "output_tokens": 614, "elapsed_seconds": 6.976201291079633, "metadata": {"match_method": "map", "num_predictions": 18, "num_ground_truth": 18, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9405940771102905, "attempts": 1, "retries": 0, "total_seconds": 7.019}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 147, "image": "f12_jpg.rf.fa104f4d104f326761c5485949eec7bb.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [723, 86, 940, 419], \"label\": \"wildfire\"},\n {\"box_2d\": [298, 598, 558, 795], \"label\": \"wildfire\"},\n {\"box_2d\": [320, 232, 608, 381], \"label\": \"wildfire\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 116, "elapsed_seconds": 16.50816366705112, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 16.6322}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 148, "image": "f36_jpg.rf.8c77ed13627d4f4c8abf32c1c7573442.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 62, 588, 307], \"label\": \"wildfire\"},\n {\"box_2d\": [0, 703, 412, 839], \"label\": \"wildfire\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 77, "elapsed_seconds": 65.38992408302147, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 65.5112}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 149, "image": "46_jpg.rf.ed53b85cf8112394121da4a88ce9efc4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [572, 148, 725, 213], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [529, 300, 651, 323], \"label\": \"resistor symbol\"},\n {\"box_2d\": [375, 376, 428, 441], \"label\": \"resistor symbol\"},\n {\"box_2d\": [171, 471, 300, 531], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [381, 560, 441, 639], \"label\": \"resistor symbol\"},\n {\"box_2d\": [572, 464, 718, 520], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [540, 670, 687, 695], \"label\": \"resistor symbol\"},\n {\"box_2d\": [603, 808, 731, 860], \"label\": \"dc current source symbol\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 304, "elapsed_seconds": 30.83332325005904, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 30.9348}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 150, "image": "Lego_131_low_jpeg.rf.be14ef4b77b52f77c1ed45c59ee5b3a4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [746, 595, 833, 678], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [788, 424, 865, 513], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [681, 440, 767, 526], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [713, 386, 794, 469], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [596, 369, 661, 456], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [517, 331, 597, 405], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [273, 506, 354, 596], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [150, 622, 237, 695], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [65, 616, 154, 694], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [532, 815, 601, 896], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [814, 731, 881, 825], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [689, 913, 785, 999], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [457, 945, 545, 999], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [351, 686, 449, 745], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [251, 651, 326, 745], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [449, 526, 494, 627], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [0, 728, 70, 795], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [144, 145, 217, 250], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [248, 229, 336, 315], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [373, 266, 468, 331], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [513, 159, 598, 261], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [635, 190, 703, 297], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [699, 171, 767, 277], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [812, 261, 906, 372], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [755, 786, 862, 881], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [441, 801, 541, 891], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [468, 746, 569, 831], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [372, 728, 476, 807], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [183, 930, 286, 987], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [42, 439, 138, 550], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [123, 275, 211, 391], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [188, 32, 287, 147], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [224, 309, 306, 424], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [437, 280, 538, 357], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [659, 341, 719, 449], \"label\": \"lego 4x2 brick\"}\n]\n```", "correct": true, "input_tokens": 1244, "output_tokens": 1371, "elapsed_seconds": 27.165401667007245, "metadata": {"match_method": "map", "num_predictions": 35, "num_ground_truth": 35, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8863289952278137, "attempts": 1, "retries": 0, "total_seconds": 27.256}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 151, "image": "IMG_6677_jpeg_jpg.rf.66bd4292eb85ae8da61a8cef3e3384f8.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [540, 52, 609, 250], \"label\": \"green poker chip\"},\n {\"box_2d\": [533, 55, 591, 249], \"label\": \"green poker chip\"},\n {\"box_2d\": [512, 57, 573, 251], \"label\": \"green poker chip\"},\n {\"box_2d\": [501, 52, 558, 251], \"label\": \"green poker chip\"},\n {\"box_2d\": [482, 54, 542, 253], \"label\": \"green poker chip\"},\n {\"box_2d\": [466, 51, 522, 251], \"label\": \"green poker chip\"},\n {\"box_2d\": [454, 51, 506, 254], \"label\": \"green poker chip\"},\n {\"box_2d\": [427, 52, 493, 259], \"label\": \"green poker chip\"},\n {\"box_2d\": [408, 46, 476, 256], \"label\": \"green poker chip\"},\n {\"box_2d\": [374, 30, 460, 243], \"label\": \"green poker chip\"},\n {\"box_2d\": [530, 311, 606, 491], \"label\": \"orange poker chip\"},\n {\"box_2d\": [530, 301, 588, 484], \"label\": \"orange poker chip\"},\n {\"box_2d\": [518, 298, 576, 482], \"label\": \"orange poker chip\"},\n {\"box_2d\": [499, 296, 558, 484], \"label\": \"orange poker chip\"},\n {\"box_2d\": [490, 299, 543, 484], \"label\": \"orange poker chip\"},\n {\"box_2d\": [467, 298, 525, 488], \"label\": \"orange poker chip\"},\n {\"box_2d\": [454, 296, 507, 488], \"label\": \"orange poker chip\"},\n {\"box_2d\": [438, 298, 491, 490], \"label\": \"orange poker chip\"},\n {\"box_2d\": [423, 296, 475, 490], \"label\": \"orange poker chip\"},\n {\"box_2d\": [371, 292, 455, 488], \"label\": \"orange poker chip\"},\n {\"box_2d\": [530, 522, 613, 713], \"label\": \"orange poker chip\"},\n {\"box_2d\": [501, 524, 579, 708], \"label\": \"orange poker chip\"},\n {\"box_2d\": [463, 533, 560, 717], \"label\": \"orange poker chip\"},\n {\"box_2d\": [525, 728, 601, 932], \"label\": \"green poker chip\"},\n {\"box_2d\": [503, 719, 580, 920], \"label\": \"green poker chip\"},\n {\"box_2d\": [451, 708, 542, 899], \"label\": \"green poker chip\"}\n]\n```", "correct": true, "input_tokens": 1231, "output_tokens": 938, "elapsed_seconds": 15.179045500000939, "metadata": {"match_method": "map", "num_predictions": 26, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 15.2041}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 152, "image": "indir-1-_jpeg_jpg.rf.8d614705afcf35f2ac222aa7d9e608ff.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [777, 700, 785, 718], \"label\": \"dimension annotation\"},\n {\"box_2d\": [667, 336, 699, 535], \"label\": \"dimension annotation\"},\n {\"box_2d\": [562, 158, 646, 306], \"label\": \"dimension annotation\"},\n {\"box_2d\": [610, 653, 661, 749], \"label\": \"dimension annotation\"},\n {\"box_2d\": [447, 628, 502, 726], \"label\": \"dimension annotation\"},\n {\"box_2d\": [427, 154, 513, 286], \"label\": \"dimension annotation\"},\n {\"box_2d\": [725, 597, 757, 761], \"label\": \"dimension annotation\"},\n {\"box_2d\": [725, 598, 825, 808], \"label\": \"dimension annotation\"},\n {\"box_2d\": [767, 610, 795, 676], \"label\": \"dimension annotation\"},\n {\"box_2d\": [797, 687, 823, 759], \"label\": \"dimension annotation\"},\n {\"box_2d\": [823, 625, 868, 752], \"label\": \"dimension annotation\"},\n {\"box_2d\": [825, 315, 868, 424], \"label\": \"dimension annotation\"},\n {\"box_2d\": [759, 137, 800, 193], \"label\": \"dimension annotation\"},\n {\"box_2d\": [750, 198, 793, 273], \"label\": \"dimension annotation\"},\n {\"box_2d\": [914, 207, 984, 976], \"label\": \"technical drawing table\"}\n]\n```", "correct": false, "input_tokens": 1233, "output_tokens": 538, "elapsed_seconds": 7.5015224169474095, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5396038889884949, "attempts": 1, "retries": 0, "total_seconds": 7.5184}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 153, "image": "1217_4_jpg.rf.834d702ab7cd425111d5c60612f66627.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [771, 16, 845, 95], \"label\": \"white pawn\"},\n {\"box_2d\": [771, 159, 846, 232], \"label\": \"white pawn\"},\n {\"box_2d\": [765, 277, 838, 350], \"label\": \"white pawn\"},\n {\"box_2d\": [769, 397, 843, 469], \"label\": \"white pawn\"},\n {\"box_2d\": [759, 498, 831, 569], \"label\": \"white pawn\"},\n {\"box_2d\": [772, 652, 846, 725], \"label\": \"white pawn\"},\n {\"box_2d\": [757, 773, 830, 847], \"label\": \"white pawn\"},\n {\"box_2d\": [755, 876, 829, 957], \"label\": \"white pawn\"},\n {\"box_2d\": [881, 13, 980, 108], \"label\": \"white rook\"},\n {\"box_2d\": [888, 122, 987, 233], \"label\": \"white knight\"},\n {\"box_2d\": [886, 276, 991, 366], \"label\": \"white bishop\"},\n {\"box_2d\": [871, 389, 996, 479], \"label\": \"white king\"},\n {\"box_2d\": [878, 514, 999, 602], \"label\": \"white queen\"},\n {\"box_2d\": [874, 634, 976, 725], \"label\": \"white bishop\"},\n {\"box_2d\": [891, 763, 982, 868], \"label\": \"white knight\"},\n {\"box_2d\": [876, 886, 975, 990], \"label\": \"white rook\"},\n {\"box_2d\": [161, 35, 234, 113], \"label\": \"black pawn\"},\n {\"box_2d\": [161, 180, 234, 252], \"label\": \"black pawn\"},\n {\"box_2d\": [159, 285, 231, 356], \"label\": \"black pawn\"},\n {\"box_2d\": [173, 412, 244, 482], \"label\": \"black pawn\"},\n {\"box_2d\": [169, 545, 241, 616], \"label\": \"black pawn\"},\n {\"box_2d\": [165, 651, 238, 722], \"label\": \"black pawn\"},\n {\"box_2d\": [161, 763, 234, 836], \"label\": \"black pawn\"},\n {\"box_2d\": [150, 891, 223, 973], \"label\": \"black pawn\"},\n {\"box_2d\": [7, 37, 107, 131], \"label\": \"black rook\"},\n {\"box_2d\": [26, 132, 119, 241], \"label\": \"black knight\"},\n {\"box_2d\": [16, 284, 117, 374], \"label\": \"black bishop\"},\n {\"box_2d\": [0, 405, 121, 493], \"label\": \"black king\"},\n {\"box_2d\": [0, 526, 120, 613], \"label\": \"black queen\"},\n {\"box_2d\": [27, 655, 128, 745], \"label\": \"black bishop\"},\n {\"box_2d\": [5, 769, 113, 880], \"label\": \"black knight\"},\n {\"box_2d\": [16, 897, 114, 1000], \"label\": \"black rook\"}\n]\n```", "correct": true, "input_tokens": 1259, "output_tokens": 1116, "elapsed_seconds": 41.05377266695723, "metadata": {"match_method": "map", "num_predictions": 32, "num_ground_truth": 32, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 41.3275}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 154, "image": "123_jpg.rf.dd57cefde1b1d657a6704903a0c29594.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [171, 322, 199, 376], \"label\": \"resistor symbol\"},\n {\"box_2d\": [166, 623, 190, 686], \"label\": \"resistor symbol\"},\n {\"box_2d\": [275, 209, 348, 242], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [268, 441, 336, 474], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [232, 807, 320, 848], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [457, 326, 486, 379], \"label\": \"resistor symbol\"},\n {\"box_2d\": [450, 656, 479, 704], \"label\": \"resistor symbol\"},\n {\"box_2d\": [618, 217, 682, 236], \"label\": \"resistor symbol\"},\n {\"box_2d\": [640, 448, 720, 491], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [595, 834, 661, 851], \"label\": \"resistor symbol\"},\n {\"box_2d\": [820, 314, 903, 358], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [832, 621, 855, 678], \"label\": \"resistor symbol\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 449, "elapsed_seconds": 8.515940041048452, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9372937083244324, "attempts": 1, "retries": 0, "total_seconds": 8.5276}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 155, "image": "Container_799_jpg.rf.18c1df3db98a6063d7285fb7c0ffd780.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [227, 805, 260, 945], \"label\": \"shipping container number\"},\n {\"box_2d\": [268, 865, 303, 902], \"label\": \"container ISO type code\"},\n {\"box_2d\": [137, 352, 285, 367], \"label\": \"container ISO type code\"},\n {\"box_2d\": [148, 307, 566, 326], \"label\": \"shipping container number\"}\n]\n```", "correct": true, "input_tokens": 1232, "output_tokens": 158, "elapsed_seconds": 6.362528915982693, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 6.38}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 156, "image": "08fd33_0_1_png_jpg.rf.49b1ec7a3f580266e0267dce06883980.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [461, 147, 504, 158], \"label\": \"goalkeeper\"},\n {\"box_2d\": [416, 250, 452, 261], \"label\": \"player\"},\n {\"box_2d\": [341, 436, 373, 449], \"label\": \"player\"},\n {\"box_2d\": [375, 488, 412, 500], \"label\": \"referee\"},\n {\"box_2d\": [478, 431, 528, 443], \"label\": \"player\"},\n {\"box_2d\": [526, 405, 565, 422], \"label\": \"player\"},\n {\"box_2d\": [439, 491, 479, 504], \"label\": \"player\"},\n {\"box_2d\": [397, 508, 434, 519], \"label\": \"player\"},\n {\"box_2d\": [372, 532, 405, 542], \"label\": \"player\"},\n {\"box_2d\": [401, 606, 439, 616], \"label\": \"player\"},\n {\"box_2d\": [447, 616, 495, 628], \"label\": \"player\"},\n {\"box_2d\": [417, 623, 455, 636], \"label\": \"player\"},\n {\"box_2d\": [371, 629, 404, 642], \"label\": \"player\"},\n {\"box_2d\": [354, 626, 384, 636], \"label\": \"player\"},\n {\"box_2d\": [387, 659, 421, 672], \"label\": \"player\"},\n {\"box_2d\": [419, 646, 459, 658], \"label\": \"player\"},\n {\"box_2d\": [504, 627, 550, 639], \"label\": \"player\"},\n {\"box_2d\": [464, 704, 513, 720], \"label\": \"player\"},\n {\"box_2d\": [600, 680, 654, 695], \"label\": \"player\"},\n {\"box_2d\": [572, 773, 614, 787], \"label\": \"player\"},\n {\"box_2d\": [628, 837, 683, 851], \"label\": \"player\"},\n {\"box_2d\": [644, 825, 703, 842], \"label\": \"referee\"},\n {\"box_2d\": [402, 904, 444, 918], \"label\": \"goalkeeper\"},\n {\"box_2d\": [612, 429, 665, 442], \"label\": \"player\"},\n {\"box_2d\": [301, 326, 328, 336], \"label\": \"referee\"},\n {\"box_2d\": [607, 339, 620, 346], \"label\": \"football\"}\n]\n```", "correct": true, "input_tokens": 1242, "output_tokens": 901, "elapsed_seconds": 19.192653833073564, "metadata": {"match_method": "map", "num_predictions": 26, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 19.3256}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 157, "image": "Lego_122_low_jpeg.rf.ea0402c215977271fc16971fe6cad37a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [77, 192, 155, 309], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [138, 364, 246, 442], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [269, 316, 355, 408], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [349, 321, 444, 384], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [341, 183, 437, 259], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [379, 55, 459, 159], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [509, 136, 597, 252], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [785, 188, 869, 284], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [628, 403, 709, 479], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [709, 389, 813, 479], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [708, 452, 796, 537], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [749, 551, 826, 608], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [553, 538, 640, 626], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [553, 629, 625, 712], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [609, 688, 688, 740], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [339, 472, 444, 553], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [189, 466, 285, 575], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [215, 593, 314, 648], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [101, 652, 210, 747], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [60, 777, 154, 860], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [96, 834, 196, 935], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [334, 748, 437, 828], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [375, 682, 460, 764], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [326, 939, 424, 999], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [600, 914, 675, 964], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [637, 741, 709, 843], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [692, 782, 784, 850], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [678, 828, 763, 931], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [779, 875, 861, 932], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [762, 945, 856, 1000], \"label\": \"lego 4x1 brick\"}\n]\n```", "correct": true, "input_tokens": 1244, "output_tokens": 1179, "elapsed_seconds": 24.41350833303295, "metadata": {"match_method": "map", "num_predictions": 30, "num_ground_truth": 30, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 24.502}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 158, "image": "20230220_110126_jpg.rf.9dd19de1f35f973245770a80a67f5a86.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [468, 39, 493, 128], \"label\": \"crack\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 45, "elapsed_seconds": 3.089030833914876, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 3.1114}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 159, "image": "20230224_102553_jpg.rf.405f8900643fe92cf5dde61e03ca7cd9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [598, 819, 681, 902], \"label\": \"crack\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 46, "elapsed_seconds": 2.9682463330682367, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 2.9904}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 160, "image": "40_jpg.rf.9c5565949caf7c10eef3c765c461dcc3.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [36, 162, 355, 217], \"label\": \"blood sample tube\"},\n {\"box_2d\": [203, 167, 514, 261], \"label\": \"blood sample tube\"},\n {\"box_2d\": [153, 255, 464, 336], \"label\": \"blood sample tube\"},\n {\"box_2d\": [388, 155, 694, 275], \"label\": \"blood sample tube\"},\n {\"box_2d\": [36, 317, 158, 548], \"label\": \"blood sample tube\"},\n {\"box_2d\": [145, 478, 466, 533], \"label\": \"blood sample tube\"},\n {\"box_2d\": [392, 370, 567, 597], \"label\": \"blood sample tube\"},\n {\"box_2d\": [28, 502, 95, 741], \"label\": \"blood sample tube\"},\n {\"box_2d\": [86, 592, 161, 841], \"label\": \"blood sample tube\"},\n {\"box_2d\": [138, 533, 444, 666], \"label\": \"blood sample tube\"},\n {\"box_2d\": [195, 581, 428, 788], \"label\": \"blood sample tube\"},\n {\"box_2d\": [384, 550, 503, 795], \"label\": \"blood sample tube\"},\n {\"box_2d\": [427, 592, 548, 839], \"label\": \"blood sample tube\"},\n {\"box_2d\": [262, 764, 558, 927], \"label\": \"blood sample tube\"},\n {\"box_2d\": [72, 839, 400, 895], \"label\": \"blood sample tube\"},\n {\"box_2d\": [144, 886, 470, 936], \"label\": \"blood sample tube\"},\n {\"box_2d\": [512, 689, 650, 942], \"label\": \"blood sample tube\"},\n {\"box_2d\": [556, 662, 706, 909], \"label\": \"blood sample tube\"},\n {\"box_2d\": [597, 611, 734, 856], \"label\": \"blood sample tube\"},\n {\"box_2d\": [612, 480, 733, 730], \"label\": \"blood sample tube\"},\n {\"box_2d\": [670, 491, 741, 738], \"label\": \"blood sample tube\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 762, "elapsed_seconds": 10.252030792064033, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 21, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 10.2806}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 161, "image": "car-part-detection_Car-damages-765_png_jpg.rf.98f80e9f33638af692acb0b18adddcfd.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [504, 503, 628, 745], \"label\": \"headlight\"},\n {\"box_2d\": [298, 211, 353, 319], \"label\": \"mirror\"},\n {\"box_2d\": [137, 192, 623, 336], \"label\": \"front door\"},\n {\"box_2d\": [123, 314, 342, 672], \"label\": \"windshield\"},\n {\"box_2d\": [140, 207, 325, 319], \"label\": \"front window\"},\n {\"box_2d\": [135, 117, 504, 216], \"label\": \"back door\"},\n {\"box_2d\": [140, 149, 286, 212], \"label\": \"back window\"},\n {\"box_2d\": [572, 521, 900, 922], \"label\": \"front bumper\"},\n {\"box_2d\": [244, 78, 279, 87], \"label\": \"tail light\"},\n {\"box_2d\": [367, 83, 474, 110], \"label\": \"back bumper\"},\n {\"box_2d\": [251, 389, 551, 907], \"label\": \"hood\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 392, "elapsed_seconds": 30.247208208893426, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 13, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8190817832946777, "attempts": 1, "retries": 0, "total_seconds": 30.2638}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 162, "image": "frame_0089_jpg.rf.c7cd5f3b9d3ee6d5f30b8357b148d8d4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [238, 325, 279, 349], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [248, 381, 294, 409], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [258, 442, 303, 469], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [278, 502, 323, 529], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [336, 314, 382, 338], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [351, 369, 400, 398], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [359, 429, 408, 459], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [381, 493, 430, 522], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [441, 305, 490, 331], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [461, 364, 511, 392], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [473, 425, 523, 454], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [494, 487, 545, 515], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [918, 292, 965, 317], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [930, 353, 978, 380], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [942, 415, 991, 443], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [949, 480, 997, 507], \"label\": \"soda bottle cap\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 588, "elapsed_seconds": 73.80762466706801, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 74.367}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 163, "image": "IMG_5103_JPG.rf.05aa0caa3f6431dd232e7223cc79a35a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [592, 272, 651, 300], \"label\": \"face\"},\n {\"box_2d\": [637, 323, 687, 353], \"label\": \"face\"},\n {\"box_2d\": [686, 401, 743, 439], \"label\": \"face\"},\n {\"box_2d\": [368, 404, 396, 417], \"label\": \"face\"},\n {\"box_2d\": [361, 386, 386, 398], \"label\": \"face\"},\n {\"box_2d\": [357, 355, 382, 366], \"label\": \"face\"},\n {\"box_2d\": [419, 542, 444, 554], \"label\": \"face\"},\n {\"box_2d\": [391, 560, 417, 574], \"label\": \"face\"},\n {\"box_2d\": [427, 577, 452, 591], \"label\": \"face\"},\n {\"box_2d\": [398, 606, 421, 619], \"label\": \"face\"},\n {\"box_2d\": [438, 621, 468, 636], \"label\": \"face\"},\n {\"box_2d\": [417, 648, 445, 663], \"label\": \"face\"},\n {\"box_2d\": [382, 667, 407, 680], \"label\": \"face\"},\n {\"box_2d\": [426, 690, 456, 703], \"label\": \"face\"},\n {\"box_2d\": [434, 715, 463, 730], \"label\": \"face\"},\n {\"box_2d\": [456, 773, 483, 786], \"label\": \"face\"},\n {\"box_2d\": [373, 628, 395, 640], \"label\": \"face\"},\n {\"box_2d\": [373, 604, 393, 614], \"label\": \"face\"},\n {\"box_2d\": [345, 620, 366, 631], \"label\": \"face\"},\n {\"box_2d\": [345, 653, 366, 664], \"label\": \"face\"},\n {\"box_2d\": [365, 681, 386, 692], \"label\": \"face\"},\n {\"box_2d\": [371, 716, 393, 728], \"label\": \"face\"},\n {\"box_2d\": [354, 699, 373, 710], \"label\": \"face\"},\n {\"box_2d\": [336, 755, 355, 766], \"label\": \"face\"},\n {\"box_2d\": [326, 664, 347, 675], \"label\": \"face\"},\n {\"box_2d\": [324, 634, 344, 644], \"label\": \"face\"},\n {\"box_2d\": [301, 609, 321, 620], \"label\": \"face\"},\n {\"box_2d\": [328, 502, 352, 513], \"label\": \"face\"},\n {\"box_2d\": [287, 421, 307, 430], \"label\": \"face\"},\n {\"box_2d\": [289, 442, 310, 451], \"label\": \"face\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 1032, "elapsed_seconds": 35.61612787505146, "metadata": {"match_method": "map", "num_predictions": 30, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5795379281044006, "attempts": 1, "retries": 0, "total_seconds": 36.0978}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 164, "image": "fall-detection_camerathree-second_mp4-114_jpg.rf.8d4ab219233d1b243e3602fc397d1bfa.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [580, 358, 667, 588], \"label\": \"fallen person\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 47, "elapsed_seconds": 8.778230583062395, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 8.7951}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 165, "image": "lot301_JPEG_jpg.rf.190ac2533508d09b091e542956d526a5.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [163, 424, 198, 459], \"label\": \"chicory seed\"},\n {\"box_2d\": [185, 441, 217, 476], \"label\": \"chicory seed\"},\n {\"box_2d\": [184, 466, 207, 509], \"label\": \"chicory seed\"},\n {\"box_2d\": [195, 498, 218, 537], \"label\": \"chicory seed\"},\n {\"box_2d\": [171, 586, 203, 617], \"label\": \"chicory seed\"},\n {\"box_2d\": [197, 623, 218, 662], \"label\": \"chicory seed\"},\n {\"box_2d\": [204, 570, 229, 608], \"label\": \"chicory seed\"},\n {\"box_2d\": [220, 610, 244, 652], \"label\": \"chicory seed\"},\n {\"box_2d\": [220, 533, 245, 573], \"label\": \"chicory seed\"},\n {\"box_2d\": [235, 552, 267, 590], \"label\": \"chicory seed\"},\n {\"box_2d\": [235, 582, 272, 611], \"label\": \"chicory seed\"},\n {\"box_2d\": [243, 622, 281, 646], \"label\": \"chicory seed\"},\n {\"box_2d\": [236, 641, 258, 680], \"label\": \"chicory seed\"},\n {\"box_2d\": [226, 685, 263, 717], \"label\": \"chicory seed\"},\n {\"box_2d\": [248, 714, 283, 750], \"label\": \"chicory seed\"},\n {\"box_2d\": [275, 728, 314, 750], \"label\": \"chicory seed\"},\n {\"box_2d\": [278, 748, 303, 785], \"label\": \"chicory seed\"},\n {\"box_2d\": [283, 709, 323, 735], \"label\": \"chicory seed\"},\n {\"box_2d\": [297, 696, 330, 723], \"label\": \"chicory seed\"},\n {\"box_2d\": [306, 748, 344, 770], \"label\": \"chicory seed\"},\n {\"box_2d\": [319, 736, 357, 761], \"label\": \"chicory seed\"},\n {\"box_2d\": [329, 769, 350, 811], \"label\": \"chicory seed\"},\n {\"box_2d\": [349, 763, 369, 804], \"label\": \"chicory seed\"},\n {\"box_2d\": [368, 752, 386, 793], \"label\": \"chicory seed\"},\n {\"box_2d\": [336, 710, 369, 741], \"label\": \"chicory seed\"},\n {\"box_2d\": [342, 694, 376, 726], \"label\": \"chicory seed\"},\n {\"box_2d\": [367, 719, 403, 748], \"label\": \"chicory seed\"},\n {\"box_2d\": [264, 661, 293, 698], \"label\": \"chicory seed\"},\n {\"box_2d\": [274, 648, 306, 683], \"label\": \"chicory seed\"},\n {\"box_2d\": [263, 567, 300, 600], \"label\": \"chicory seed\"},\n {\"box_2d\": [275, 597, 310, 633], \"label\": \"chicory seed\"},\n {\"box_2d\": [298, 617, 321, 657], \"label\": \"chicory seed\"},\n {\"box_2d\": [316, 657, 354, 688], \"label\": \"chicory seed\"},\n {\"box_2d\": [324, 621, 363, 643], \"label\": \"chicory seed\"},\n {\"box_2d\": [315, 587, 338, 616], \"label\": \"chicory seed\"},\n {\"box_2d\": [304, 564, 346, 586], \"label\": \"chicory seed\"},\n {\"box_2d\": [283, 540, 319, 568], \"label\": \"chicory seed\"},\n {\"box_2d\": [271, 507, 304, 544], \"label\": \"chicory seed\"},\n {\"box_2d\": [304, 495, 325, 536], \"label\": \"chicory seed\"},\n {\"box_2d\": [319, 513, 339, 555], \"label\": \"chicory seed\"},\n {\"box_2d\": [336, 580, 363, 616], \"label\": 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{\"box_2d\": [812, 596, 835, 637], \"label\": \"chicory seed\"},\n {\"box_2d\": [720, 641, 741, 680], \"label\": \"chicory seed\"},\n {\"box_2d\": [737, 639, 775, 663], \"label\": \"chicory seed\"},\n {\"box_2d\": [745, 663, 783, 683], \"label\": \"chicory seed\"},\n {\"box_2d\": [793, 639, 827, 674], \"label\": \"chicory seed\"},\n {\"box_2d\": [768, 698, 803, 728], \"label\": \"chicory seed\"},\n {\"box_2d\": [592, 692, 622, 724], \"label\": \"chicory seed\"},\n {\"box_2d\": [614, 670, 655, 691], \"label\": \"chicory seed\"},\n {\"box_2d\": [646, 684, 682, 711], \"label\": \"chicory seed\"},\n {\"box_2d\": [671, 687, 701, 722], \"label\": \"chicory seed\"},\n {\"box_2d\": [644, 728, 683, 752], \"label\": \"chicory seed\"},\n {\"box_2d\": [663, 750, 699, 773], \"label\": \"chicory seed\"},\n {\"box_2d\": [656, 771, 679, 811], \"label\": \"chicory seed\"},\n {\"box_2d\": [696, 717, 728, 750], \"label\": \"chicory seed\"},\n {\"box_2d\": [700, 746, 720, 784], \"label\": \"chicory seed\"},\n {\"box_2d\": [722, 742, 757, 769], \"label\": \"chicory seed\"},\n {\"box_2d\": [712, 766, 734, 805], \"label\": \"chicory seed\"},\n {\"box_2d\": [389, 690, 428, 710], \"label\": \"chicory seed\"},\n {\"box_2d\": [397, 710, 431, 730], \"label\": \"chicory seed\"},\n {\"box_2d\": [430, 691, 450, 728], \"label\": \"chicory seed\"},\n {\"box_2d\": [406, 732, 425, 770], \"label\": \"chicory seed\"},\n {\"box_2d\": [425, 731, 445, 768], \"label\": \"chicory seed\"},\n {\"box_2d\": [446, 672, 487, 692], \"label\": \"chicory seed\"},\n {\"box_2d\": [459, 692, 495, 713], \"label\": \"chicory seed\"},\n {\"box_2d\": [462, 721, 496, 749], \"label\": \"chicory seed\"},\n {\"box_2d\": [492, 709, 518, 745], \"label\": \"chicory seed\"},\n {\"box_2d\": [512, 706, 544, 738], \"label\": \"chicory seed\"},\n {\"box_2d\": [363, 817, 399, 845], \"label\": \"chicory seed\"},\n {\"box_2d\": [382, 829, 415, 859], \"label\": \"chicory seed\"},\n {\"box_2d\": [410, 779, 428, 821], \"label\": \"chicory seed\"},\n {\"box_2d\": [429, 807, 449, 849], \"label\": \"chicory seed\"},\n {\"box_2d\": [429, 785, 467, 811], \"label\": \"chicory seed\"},\n {\"box_2d\": [441, 765, 481, 785], \"label\": \"chicory seed\"},\n {\"box_2d\": [449, 812, 469, 854], \"label\": \"chicory seed\"},\n {\"box_2d\": [469, 783, 507, 803], \"label\": \"chicory seed\"},\n {\"box_2d\": [482, 749, 503, 786], \"label\": \"chicory seed\"},\n {\"box_2d\": [500, 749, 520, 789], \"label\": \"chicory seed\"},\n {\"box_2d\": [520, 738, 545, 778], \"label\": \"chicory seed\"},\n {\"box_2d\": [471, 804, 501, 836], \"label\": \"chicory seed\"},\n {\"box_2d\": [468, 835, 496, 862], \"label\": \"chicory seed\"},\n {\"box_2d\": [490, 815, 523, 847], \"label\": \"chicory seed\"},\n {\"box_2d\": [502, 836, 521, 880], \"label\": \"chicory seed\"},\n {\"box_2d\": [505, 795, 543, 814], \"label\": \"chicory seed\"},\n {\"box_2d\": [522, 774, 561, 792], \"label\": \"chicory seed\"},\n {\"box_2d\": [527, 810, 565, 831], \"label\": \"chicory seed\"},\n {\"box_2d\": [528, 834, 558, 869], \"label\": \"chicory seed\"},\n {\"box_2d\": [555, 725, 591, 756], \"label\": \"chicory seed\"},\n {\"box_2d\": [551, 756, 590, 774], \"label\": \"chicory seed\"},\n {\"box_2d\": [558, 776, 583, 814], \"label\": \"chicory seed\"},\n {\"box_2d\": [559, 804, 586, 845], \"label\": \"chicory seed\"},\n {\"box_2d\": [583, 825, 602, 867], \"label\": \"chicory seed\"},\n {\"box_2d\": [590, 785, 611, 822], \"label\": \"chicory seed\"},\n {\"box_2d\": [600, 729, 621, 769], \"label\": \"chicory seed\"},\n {\"box_2d\": [618, 806, 650, 839], \"label\": \"chicory seed\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 10920, "elapsed_seconds": 83.1977832079865, "metadata": {"match_method": "map", "num_predictions": 303, "num_ground_truth": 303, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3366336524486542, "attempts": 1, "retries": 0, "total_seconds": 83.3366}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 166, "image": "9pro_tire_2024-10-17_2_png_jpg.rf.4f51ee46ba892a991a30327b934d13a9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [77, 198, 179, 396], \"label\": \"tire size text\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 47, "elapsed_seconds": 71.97327512491029, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5049504637718201, "attempts": 1, "retries": 0, "total_seconds": 72.2935}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 167, "image": "2024-12-05T02-00-56-789Z-1004_jpg.rf.16e81306ce0ce847c1fdd836e6752b92.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [243, 0, 658, 160], \"label\": \"velcro cable tie\"},\n {\"box_2d\": [427, 868, 504, 927], \"label\": \"screw\"},\n {\"box_2d\": [648, 524, 686, 563], \"label\": \"screw\"},\n {\"box_2d\": [626, 149, 672, 181], \"label\": \"screw\"}\n]\n```", "correct": true, "input_tokens": 1204, "output_tokens": 149, "elapsed_seconds": 8.63343987497501, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 8.935}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 168, "image": "45_png.rf.5c5cd31ecf12f414c9d6c446b6599fc0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [56, 239, 90, 297], \"label\": \"not gate symbol\"},\n {\"box_2d\": [101, 424, 152, 523], \"label\": \"and gate symbol\"},\n {\"box_2d\": [90, 789, 139, 886], \"label\": \"or gate symbol\"},\n {\"box_2d\": [300, 550, 360, 629], \"label\": \"and gate symbol\"},\n {\"box_2d\": [300, 667, 360, 745], \"label\": \"and gate symbol\"},\n {\"box_2d\": [369, 789, 419, 886], \"label\": \"or gate symbol\"},\n {\"box_2d\": [579, 574, 640, 653], \"label\": \"and gate symbol\"},\n {\"box_2d\": [579, 691, 640, 767], \"label\": \"and gate symbol\"},\n {\"box_2d\": [649, 811, 699, 907], \"label\": \"or gate symbol\"},\n {\"box_2d\": [871, 591, 932, 667], \"label\": \"and gate symbol\"},\n {\"box_2d\": [871, 707, 932, 784], \"label\": \"and gate symbol\"},\n {\"box_2d\": [940, 811, 990, 907], \"label\": \"or gate symbol\"}\n]\n```", "correct": true, "input_tokens": 1264, "output_tokens": 441, "elapsed_seconds": 7.030627500033006, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 7.0369}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 169, "image": "paper-parts_112786_53_jpg.rf.0483acf3782b23a87f49280c7a03b327.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [92, 175, 330, 667], \"label\": \"figure\"},\n {\"box_2d\": [372, 176, 424, 882], \"label\": \"figure caption\"},\n {\"box_2d\": [478, 176, 493, 207], \"label\": \"paragraph\"},\n {\"box_2d\": [524, 274, 551, 752], \"label\": \"equation\"},\n {\"box_2d\": [560, 274, 588, 711], \"label\": \"equation\"},\n {\"box_2d\": [597, 274, 624, 783], \"label\": \"equation\"},\n {\"box_2d\": [633, 274, 661, 734], \"label\": \"equation\"},\n {\"box_2d\": [670, 274, 697, 735], \"label\": \"equation\"},\n {\"box_2d\": [708, 274, 723, 529], \"label\": \"equation\"},\n {\"box_2d\": [756, 176, 869, 882], \"label\": \"paragraph\"},\n {\"box_2d\": [897, 519, 913, 539], \"label\": \"page number\"}\n]\n```", "correct": true, "input_tokens": 1248, "output_tokens": 387, "elapsed_seconds": 6.251943040988408, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8504949808120728, "attempts": 1, "retries": 0, "total_seconds": 6.2914}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 170, "image": "signatures_image_21_png_jpg.rf.af64d00b20a92b8a4d92e9aefc5cd1f8.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [72, 217, 176, 358], \"label\": \"signature\"},\n {\"box_2d\": [654, 511, 756, 725], \"label\": \"signature\"},\n {\"box_2d\": [829, 651, 932, 853], \"label\": \"signature\"},\n {\"box_2d\": [833, 418, 945, 643], \"label\": \"signature\"},\n {\"box_2d\": [302, 678, 386, 865], \"label\": \"signature\"}\n]\n```", "correct": true, "input_tokens": 1252, "output_tokens": 181, "elapsed_seconds": 14.600932125002146, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.800000011920929, "attempts": 1, "retries": 0, "total_seconds": 14.7316}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 171, "image": "1668146885__jpg.rf.3d8577f11d5831de64da2c2964b98050.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [58, 790, 113, 822], \"label\": \"three die\"},\n {\"box_2d\": [108, 750, 161, 782], \"label\": \"three die\"},\n {\"box_2d\": [129, 711, 185, 743], \"label\": \"six die\"},\n {\"box_2d\": [209, 886, 263, 916], \"label\": \"five die\"},\n {\"box_2d\": [298, 791, 353, 822], \"label\": \"three die\"},\n {\"box_2d\": [304, 919, 360, 950], \"label\": \"three die\"},\n {\"box_2d\": [345, 779, 400, 811], \"label\": \"five die\"},\n {\"box_2d\": [540, 805, 586, 833], \"label\": \"six die\"},\n {\"box_2d\": [579, 829, 625, 855], \"label\": \"five die\"},\n {\"box_2d\": [612, 791, 657, 818], \"label\": \"six die\"},\n {\"box_2d\": [678, 857, 728, 886], \"label\": \"six die\"},\n {\"box_2d\": [654, 711, 710, 743], \"label\": \"three die\"},\n {\"box_2d\": [485, 716, 540, 749], \"label\": \"two die\"},\n {\"box_2d\": [474, 684, 530, 716], \"label\": \"three die\"},\n {\"box_2d\": [421, 661, 476, 691], \"label\": \"six die\"},\n {\"box_2d\": [377, 688, 431, 720], \"label\": \"three die\"},\n {\"box_2d\": [291, 684, 348, 715], \"label\": \"four die\"},\n {\"box_2d\": [261, 634, 315, 665], \"label\": \"five die\"},\n {\"box_2d\": [196, 634, 255, 668], \"label\": \"six die\"},\n {\"box_2d\": [310, 597, 360, 623], \"label\": \"one die\"},\n {\"box_2d\": [305, 563, 351, 590], \"label\": \"six die\"},\n {\"box_2d\": [345, 545, 401, 577], \"label\": \"five die\"},\n {\"box_2d\": [447, 589, 496, 616], \"label\": \"three die\"},\n {\"box_2d\": [508, 539, 566, 569], \"label\": \"five die\"},\n {\"box_2d\": [544, 559, 598, 590], \"label\": \"five die\"},\n {\"box_2d\": [556, 532, 608, 560], \"label\": \"two die\"},\n {\"box_2d\": [617, 554, 670, 585], \"label\": \"four die\"},\n {\"box_2d\": [699, 585, 746, 613], \"label\": \"six die\"},\n {\"box_2d\": [624, 511, 680, 543], \"label\": \"four die\"},\n {\"box_2d\": [572, 496, 631, 528], \"label\": \"six die\"},\n {\"box_2d\": [510, 468, 565, 499], \"label\": \"five die\"},\n {\"box_2d\": [598, 449, 644, 475], \"label\": \"two die\"},\n {\"box_2d\": [25, 353, 84, 386], \"label\": \"four die\"},\n {\"box_2d\": [50, 206, 98, 234], \"label\": \"five die\"},\n {\"box_2d\": [143, 143, 194, 170], \"label\": \"two die\"},\n {\"box_2d\": [172, 226, 229, 257], \"label\": \"three die\"},\n {\"box_2d\": [329, 213, 384, 245], \"label\": \"five die\"},\n {\"box_2d\": [377, 201, 434, 233], \"label\": \"five die\"},\n {\"box_2d\": [380, 275, 439, 307], \"label\": \"five die\"},\n {\"box_2d\": [345, 319, 399, 349], \"label\": \"five die\"},\n {\"box_2d\": [393, 137, 450, 170], \"label\": \"three die\"},\n {\"box_2d\": [441, 216, 498, 249], \"label\": \"one die\"},\n {\"box_2d\": [517, 217, 574, 249], \"label\": \"three die\"},\n {\"box_2d\": [520, 273, 577, 306], \"label\": \"three die\"},\n {\"box_2d\": [629, 165, 678, 193], \"label\": \"two die\"},\n {\"box_2d\": [694, 226, 749, 257], \"label\": \"two die\"},\n {\"box_2d\": [731, 259, 785, 290], \"label\": \"four die\"},\n {\"box_2d\": [965, 763, 1000, 790], \"label\": \"six die\"},\n {\"box_2d\": [974, 735, 1000, 763], \"label\": \"two die\"}\n]\n```", "correct": false, "input_tokens": 1252, "output_tokens": 1724, "elapsed_seconds": 29.4105086249765, "metadata": {"match_method": "map", "num_predictions": 49, "num_ground_truth": 48, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6378767490386963, "attempts": 1, "retries": 0, "total_seconds": 29.4671}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 172, "image": "IMG_20220316_171754_jpg.rf.02842914dec30f998cea03868026b96a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [86, 192, 405, 487], \"label\": \"eight of clubs\"},\n {\"box_2d\": [283, 274, 650, 540], \"label\": \"seven of clubs\"},\n {\"box_2d\": [294, 421, 676, 738], \"label\": \"five of clubs\"},\n {\"box_2d\": [462, 517, 941, 926], \"label\": \"six of clubs\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 155, "elapsed_seconds": 17.031515125068836, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 17.0742}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 173, "image": "39_jpg.rf.edb5339d00a37b75d6cf16c1f9a301ff.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [173, 165, 211, 206], \"label\": \"resistor symbol\"},\n {\"box_2d\": [149, 353, 198, 405], \"label\": \"resistor symbol\"},\n {\"box_2d\": [155, 769, 192, 811], \"label\": \"resistor symbol\"},\n {\"box_2d\": [117, 556, 208, 619], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [465, 62, 635, 126], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [354, 271, 448, 286], \"label\": \"resistor symbol\"},\n {\"box_2d\": [772, 330, 837, 400], \"label\": \"resistor symbol\"},\n {\"box_2d\": [355, 482, 455, 497], \"label\": \"resistor symbol\"},\n {\"box_2d\": [322, 674, 420, 691], \"label\": \"resistor symbol\"},\n {\"box_2d\": [441, 855, 540, 875], \"label\": \"resistor symbol\"},\n {\"box_2d\": [826, 271, 895, 297], \"label\": \"ground symbol\"}\n]\n```", "correct": true, "input_tokens": 1216, "output_tokens": 408, "elapsed_seconds": 53.50294683291577, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 10, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8333333134651184, "attempts": 1, "retries": 0, "total_seconds": 53.6163}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 174, "image": "99FB9DDE-58F9-4BBA-8CC2-48146BC0EBC5_jpg.rf.1cef29e3b05e7507a4b618bd8b857503.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [191, 249, 253, 309], \"label\": \"pill\"},\n {\"box_2d\": [181, 444, 244, 502], \"label\": \"pill\"},\n {\"box_2d\": [278, 450, 338, 509], \"label\": \"pill\"},\n {\"box_2d\": [270, 328, 330, 388], \"label\": \"pill\"},\n {\"box_2d\": [293, 202, 353, 265], \"label\": \"pill\"},\n {\"box_2d\": [354, 180, 412, 242], \"label\": \"pill\"},\n {\"box_2d\": [336, 285, 394, 344], \"label\": \"pill\"},\n {\"box_2d\": [319, 408, 377, 467], \"label\": \"pill\"},\n {\"box_2d\": [334, 469, 392, 528], \"label\": \"pill\"},\n {\"box_2d\": [377, 391, 435, 449], \"label\": \"pill\"},\n {\"box_2d\": [387, 311, 444, 371], \"label\": \"pill\"},\n {\"box_2d\": [419, 246, 478, 306], \"label\": \"pill\"},\n {\"box_2d\": [417, 134, 475, 197], \"label\": \"pill\"},\n {\"box_2d\": [445, 359, 504, 418], \"label\": \"pill\"},\n {\"box_2d\": [472, 305, 532, 365], \"label\": \"pill\"},\n {\"box_2d\": [399, 477, 457, 535], \"label\": \"pill\"},\n {\"box_2d\": [446, 440, 504, 498], \"label\": \"pill\"},\n {\"box_2d\": [387, 546, 446, 604], \"label\": \"pill\"},\n {\"box_2d\": [450, 533, 509, 591], \"label\": \"pill\"},\n {\"box_2d\": [429, 613, 488, 673], \"label\": \"pill\"},\n {\"box_2d\": [404, 668, 464, 729], \"label\": \"pill\"},\n {\"box_2d\": [489, 485, 548, 544], \"label\": \"pill\"},\n {\"box_2d\": [504, 414, 563, 473], \"label\": \"pill\"},\n {\"box_2d\": [514, 346, 574, 405], \"label\": \"pill\"},\n {\"box_2d\": [592, 365, 653, 426], \"label\": \"pill\"},\n {\"box_2d\": [602, 282, 663, 344], \"label\": \"pill\"},\n {\"box_2d\": [620, 199, 682, 263], \"label\": \"pill\"},\n {\"box_2d\": [612, 449, 672, 509], \"label\": \"pill\"},\n {\"box_2d\": [552, 466, 612, 526], \"label\": \"pill\"},\n {\"box_2d\": [563, 531, 623, 590], \"label\": \"pill\"},\n {\"box_2d\": [508, 561, 568, 621], \"label\": \"pill\"},\n {\"box_2d\": [636, 540, 697, 600], \"label\": \"pill\"},\n {\"box_2d\": [685, 762, 749, 829], \"label\": \"pill\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 1134, "elapsed_seconds": 58.75373799994122, "metadata": {"match_method": "map", "num_predictions": 33, "num_ground_truth": 33, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 59.2659}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 175, "image": "8a_tire_2024-10-17_62_png_jpg.rf.da90fbf7f0527f341a28f165c3e83dac.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [146, 344, 187, 439], \"label\": \"tire size text\"},\n {\"box_2d\": [460, 56, 658, 96], \"label\": \"tire size text\"},\n {\"box_2d\": [457, 912, 651, 950], \"label\": \"tire size text\"}\n]\n```", "correct": false, "input_tokens": 1226, "output_tokens": 118, "elapsed_seconds": 22.30559416709002, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.4422442317008972, "attempts": 1, "retries": 0, "total_seconds": 22.8584}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 176, "image": "frame_0002_03_jpg.rf.dda0be95dbf94773efee5983feb50582.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [742, 461, 801, 493], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [750, 535, 808, 567], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [468, 330, 521, 359], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [737, 389, 793, 420], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [718, 320, 773, 350], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [592, 327, 646, 356], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [619, 543, 675, 574], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [490, 545, 547, 577], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [477, 399, 532, 430], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [613, 470, 671, 501], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [485, 473, 540, 504], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [607, 398, 663, 429], \"label\": \"soda bottle cap\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 444, "elapsed_seconds": 110.10050425003283, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 110.7001}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 177, "image": "f77_jpg.rf.82279850cbac861dc93376eb2c7be55d.jpg", "expected": "", "predicted": "```json\n[{\"box_2d\": [0, 56, 444, 241], \"label\": \"wildfire\"}, {\"box_2d\": [0, 745, 725, 1000], \"label\": \"wildfire\"}, {\"box_2d\": [153, 297, 198, 315], \"label\": \"wildfire\"}, {\"box_2d\": [491, 645, 521, 659], \"label\": \"wildfire\"}]```", "correct": false, "input_tokens": 1236, "output_tokens": 136, "elapsed_seconds": 47.30973770900164, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.20297029614448547, "attempts": 1, "retries": 0, "total_seconds": 47.4294}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 178, "image": "1219_48_jpg.rf.d6aecd0b221112666e45beae667e3572.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 8, 122, 130], \"label\": \"white king\"},\n {\"box_2d\": [4, 386, 125, 472], \"label\": \"white queen\"},\n {\"box_2d\": [17, 892, 117, 995], \"label\": \"white bishop\"},\n {\"box_2d\": [146, 387, 236, 476], \"label\": \"white bishop\"},\n {\"box_2d\": [280, 648, 350, 718], \"label\": \"white pawn\"},\n {\"box_2d\": [400, 276, 486, 366], \"label\": \"black king\"},\n {\"box_2d\": [399, 519, 479, 599], \"label\": \"white rook\"},\n {\"box_2d\": [400, 769, 481, 879], \"label\": \"black queen\"},\n {\"box_2d\": [498, 770, 574, 862], \"label\": \"black rook\"},\n {\"box_2d\": [523, 639, 600, 734], \"label\": \"black knight\"},\n {\"box_2d\": [515, 272, 596, 356], \"label\": \"white knight\"},\n {\"box_2d\": [534, 146, 613, 234], \"label\": \"black rook\"},\n {\"box_2d\": [637, 8, 714, 117], \"label\": \"black knight\"},\n {\"box_2d\": [649, 528, 728, 622], \"label\": \"white knight\"},\n {\"box_2d\": [666, 753, 738, 825], \"label\": \"black pawn\"},\n {\"box_2d\": [748, 254, 837, 343], \"label\": \"black bishop\"},\n {\"box_2d\": [869, 278, 986, 367], \"label\": \"black queen\"}\n]\n```", "correct": true, "input_tokens": 1259, "output_tokens": 598, "elapsed_seconds": 25.836614249972627, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 17, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 26.1034}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 179, "image": "f27_jpg.rf.b153b2c59a95b68f3f9edb924d42cee4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [56, 241, 459, 392], \"label\": \"wildfire\"},\n {\"box_2d\": [173, 599, 443, 725], \"label\": \"wildfire\"},\n {\"box_2d\": [652, 678, 742, 727], \"label\": \"wildfire\"},\n {\"box_2d\": [603, 181, 938, 391], \"label\": \"wildfire\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 151, "elapsed_seconds": 27.314296708093025, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 27.4409}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 180, "image": "img_461922717831528641_png.rf.c1eccbe6f38478b43fbba2e4cba33ac0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [58, 181, 169, 326], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [28, 321, 134, 452], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [67, 444, 175, 581], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [36, 577, 142, 709], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [80, 697, 185, 839], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [153, 170, 268, 319], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [122, 311, 229, 452], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [165, 442, 274, 581], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [129, 573, 234, 715], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [171, 697, 282, 848], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [269, 702, 385, 855], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [224, 572, 336, 718], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [264, 440, 377, 583], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [219, 304, 332, 451], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [254, 159, 375, 312], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [361, 146, 487, 306], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [321, 297, 441, 449], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [368, 434, 488, 586], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [325, 576, 444, 725], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [373, 709, 493, 868], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [484, 714, 608, 882], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [435, 574, 557, 731], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [480, 433, 601, 590], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [434, 291, 556, 446], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [476, 130, 602, 297], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [599, 113, 726, 289], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [552, 281, 675, 443], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [599, 430, 722, 591], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [551, 576, 673, 741], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [602, 718, 724, 902], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [723, 726, 855, 916], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [674, 574, 801, 749], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [722, 424, 857, 594], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [676, 270, 804, 438], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [725, 92, 863, 279], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [860, 77, 1000, 267], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [804, 257, 955, 432], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [855, 419, 1000, 594], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [801, 577, 951, 761], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [850, 742, 1000, 932], \"label\": \"empty portable gas cylinder\"}\n]\n```", "correct": false, "input_tokens": 1208, "output_tokens": 1488, "elapsed_seconds": 21.695549833006226, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 40, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.41560083627700806, "attempts": 1, "retries": 0, "total_seconds": 21.8134}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 181, "image": "20230113_134921_jpg.rf.98498c853848c0b93af6274d6758c4d5.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [520, 801, 536, 879], \"label\": \"crack\"}\n]\n```", "correct": false, "input_tokens": 1225, "output_tokens": 46, "elapsed_seconds": 4.152297417051159, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 4.1719}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 182, "image": "IMG_0618_jpeg.rf.efa7b9f1261718cff400e2cf104b3017.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [276, 461, 336, 526], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [357, 394, 429, 459], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [374, 240, 441, 307], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [498, 206, 588, 255], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [613, 243, 681, 326], \"label\": \"caramel corn jelly bean\"},\n {\"box_2d\": [617, 403, 712, 473], \"label\": \"peach jelly bean\"},\n {\"box_2d\": [485, 345, 574, 407], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [434, 522, 517, 582], \"label\": \"caramel corn jelly bean\"},\n {\"box_2d\": [606, 628, 712, 682], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [451, 694, 521, 773], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [344, 577, 419, 624], \"label\": \"mixed berry smoothie jelly bean\"}\n]\n```", "correct": true, "input_tokens": 1230, "output_tokens": 430, "elapsed_seconds": 9.881878999993205, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8341584205627441, "attempts": 1, "retries": 0, "total_seconds": 9.933}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 183, "image": "1668146875__jpg.rf.3051c36c0a756d3687be5c2fb0ad5141.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [572, 169, 622, 196], \"label\": \"five die\"},\n {\"box_2d\": [437, 217, 493, 250], \"label\": \"three die\"},\n {\"box_2d\": [229, 272, 289, 304], \"label\": \"six die\"},\n {\"box_2d\": [217, 296, 276, 329], \"label\": \"six die\"},\n {\"box_2d\": [270, 301, 326, 333], \"label\": \"five die\"},\n {\"box_2d\": [200, 347, 260, 381], \"label\": \"five die\"},\n {\"box_2d\": [97, 362, 159, 396], \"label\": \"six die\"},\n {\"box_2d\": [112, 405, 171, 437], \"label\": \"two die\"},\n {\"box_2d\": [182, 388, 240, 419], \"label\": \"two die\"},\n {\"box_2d\": [180, 433, 241, 467], \"label\": \"six die\"},\n {\"box_2d\": [281, 395, 331, 423], \"label\": \"two die\"},\n {\"box_2d\": [292, 371, 342, 400], \"label\": \"three die\"},\n {\"box_2d\": [298, 348, 347, 376], \"label\": \"six die\"},\n {\"box_2d\": [301, 325, 353, 351], \"label\": \"four die\"},\n {\"box_2d\": [341, 301, 389, 329], \"label\": \"five die\"},\n {\"box_2d\": [387, 311, 436, 340], \"label\": \"five die\"},\n {\"box_2d\": [348, 337, 397, 365], \"label\": \"five die\"},\n {\"box_2d\": [339, 366, 389, 395], \"label\": \"four die\"},\n {\"box_2d\": [411, 340, 467, 372], \"label\": \"three die\"},\n {\"box_2d\": [510, 389, 571, 421], \"label\": \"five die\"},\n {\"box_2d\": [588, 380, 643, 411], \"label\": \"two die\"},\n {\"box_2d\": [530, 450, 587, 482], \"label\": \"three die\"},\n {\"box_2d\": [411, 492, 463, 521], \"label\": \"five die\"},\n {\"box_2d\": [290, 515, 350, 549], \"label\": \"six die\"},\n {\"box_2d\": [360, 541, 416, 572], \"label\": \"two die\"},\n {\"box_2d\": [588, 531, 636, 557], \"label\": \"five die\"},\n {\"box_2d\": [639, 514, 694, 546], \"label\": \"two die\"},\n {\"box_2d\": [649, 471, 703, 502], \"label\": \"six die\"},\n {\"box_2d\": [682, 494, 740, 527], \"label\": \"six die\"},\n {\"box_2d\": [706, 441, 756, 470], \"label\": \"four die\"},\n {\"box_2d\": [757, 440, 804, 466], \"label\": \"five die\"},\n {\"box_2d\": [820, 425, 879, 458], \"label\": \"five die\"},\n {\"box_2d\": [844, 374, 899, 401], \"label\": \"five die\"},\n {\"box_2d\": [817, 314, 868, 342], \"label\": \"five die\"},\n {\"box_2d\": [767, 325, 819, 353], \"label\": \"six die\"},\n {\"box_2d\": [32, 673, 92, 707], \"label\": \"four die\"},\n {\"box_2d\": [148, 780, 198, 809], \"label\": \"three die\"},\n {\"box_2d\": [200, 764, 250, 793], \"label\": \"one die\"},\n {\"box_2d\": [254, 714, 314, 748], \"label\": \"three die\"},\n {\"box_2d\": [341, 683, 398, 715], \"label\": \"three die\"},\n {\"box_2d\": [398, 648, 444, 675], \"label\": \"four die\"},\n {\"box_2d\": [362, 773, 412, 802], \"label\": \"three die\"},\n {\"box_2d\": [393, 747, 451, 781], \"label\": \"one die\"},\n {\"box_2d\": [449, 756, 497, 785], \"label\": \"four die\"},\n {\"box_2d\": [497, 757, 543, 786], \"label\": \"four die\"},\n {\"box_2d\": [438, 807, 489, 839], \"label\": \"six die\"},\n {\"box_2d\": [666, 792, 722, 827], \"label\": \"three die\"}\n]\n```", "correct": false, "input_tokens": 1252, "output_tokens": 1654, "elapsed_seconds": 15.3405139161041, "metadata": {"match_method": "map", "num_predictions": 47, "num_ground_truth": 48, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6608679890632629, "attempts": 1, "retries": 0, "total_seconds": 15.4007}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 184, "image": "C440AC87-A6AC-47BA-9CB8-2E8D0B276501_jpg.rf.8b0f079f1f23f56b5c9934be046152df.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [793, 59, 884, 152], \"label\": \"pill\"},\n {\"box_2d\": [701, 161, 789, 248], \"label\": \"pill\"},\n {\"box_2d\": [780, 219, 871, 311], \"label\": \"pill\"},\n {\"box_2d\": [719, 321, 809, 408], \"label\": \"pill\"},\n {\"box_2d\": [689, 246, 777, 333], \"label\": \"pill\"},\n {\"box_2d\": [810, 479, 902, 567], \"label\": \"pill\"},\n {\"box_2d\": [722, 496, 811, 581], \"label\": \"pill\"},\n {\"box_2d\": [771, 571, 862, 658], \"label\": \"pill\"},\n {\"box_2d\": [703, 620, 792, 706], \"label\": \"pill\"},\n {\"box_2d\": [698, 703, 786, 789], \"label\": \"pill\"},\n {\"box_2d\": [693, 783, 781, 870], \"label\": \"pill\"},\n {\"box_2d\": [580, 678, 665, 762], \"label\": \"pill\"},\n {\"box_2d\": [587, 520, 670, 603], \"label\": \"pill\"},\n {\"box_2d\": [602, 437, 686, 521], \"label\": \"pill\"},\n {\"box_2d\": [573, 355, 656, 437], \"label\": \"pill\"},\n {\"box_2d\": [542, 283, 625, 366], \"label\": \"pill\"},\n {\"box_2d\": [465, 162, 547, 245], \"label\": \"pill\"},\n {\"box_2d\": [480, 239, 562, 321], \"label\": \"pill\"},\n {\"box_2d\": [473, 320, 554, 402], \"label\": \"pill\"},\n {\"box_2d\": [415, 276, 495, 357], \"label\": \"pill\"},\n {\"box_2d\": [326, 123, 405, 206], \"label\": \"pill\"},\n {\"box_2d\": [228, 167, 305, 246], \"label\": \"pill\"},\n {\"box_2d\": [163, 249, 238, 326], \"label\": \"pill\"},\n {\"box_2d\": [161, 369, 235, 443], \"label\": \"pill\"},\n {\"box_2d\": [243, 305, 319, 383], \"label\": \"pill\"},\n {\"box_2d\": [306, 273, 383, 352], \"label\": \"pill\"},\n {\"box_2d\": [357, 321, 435, 400], \"label\": \"pill\"},\n {\"box_2d\": [412, 363, 491, 442], \"label\": \"pill\"},\n {\"box_2d\": [353, 405, 431, 483], \"label\": \"pill\"},\n {\"box_2d\": [296, 456, 374, 531], \"label\": \"pill\"},\n {\"box_2d\": [290, 548, 365, 623], \"label\": \"pill\"},\n {\"box_2d\": [315, 615, 392, 692], \"label\": \"pill\"},\n {\"box_2d\": [306, 689, 383, 767], \"label\": \"pill\"},\n {\"box_2d\": [374, 703, 453, 785], \"label\": \"pill\"},\n {\"box_2d\": [430, 648, 509, 729], \"label\": \"pill\"},\n {\"box_2d\": [361, 544, 438, 622], \"label\": \"pill\"},\n {\"box_2d\": [429, 522, 509, 600], \"label\": \"pill\"},\n {\"box_2d\": [475, 583, 557, 663], \"label\": \"pill\"},\n {\"box_2d\": [508, 514, 588, 594], \"label\": \"pill\"},\n {\"box_2d\": [437, 434, 517, 512], \"label\": \"pill\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 1371, "elapsed_seconds": 31.094088249956258, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 40, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 31.7247}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 185, "image": "preannot3_62_png.rf.0c5f5d9500c1d4c579c64d746f68b358.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [757, 236, 780, 274], \"label\": \"tire spike normal\"},\n {\"box_2d\": [704, 307, 731, 349], \"label\": \"tire spike normal\"},\n {\"box_2d\": [613, 259, 642, 302], \"label\": \"tire spike normal\"},\n {\"box_2d\": [556, 319, 586, 362], \"label\": \"tire spike normal\"},\n {\"box_2d\": [437, 211, 470, 254], \"label\": \"tire spike normal\"},\n {\"box_2d\": [287, 234, 317, 278], \"label\": \"tire spike normal\"},\n {\"box_2d\": [230, 297, 261, 336], \"label\": \"tire spike normal\"},\n {\"box_2d\": [146, 231, 173, 268], \"label\": \"tire spike normal\"},\n {\"box_2d\": [86, 291, 110, 328], \"label\": \"tire spike normal\"},\n {\"box_2d\": [797, 667, 822, 704], \"label\": \"tire spike normal\"},\n {\"box_2d\": [705, 749, 732, 787], \"label\": \"tire spike normal\"},\n {\"box_2d\": [674, 630, 702, 667], \"label\": \"tire spike normal\"},\n {\"box_2d\": [565, 687, 597, 733], \"label\": \"tire spike normal\"},\n {\"box_2d\": [501, 646, 530, 686], \"label\": \"tire spike normal\"},\n {\"box_2d\": [390, 767, 419, 804], \"label\": \"tire spike normal\"},\n {\"box_2d\": [248, 697, 278, 735], \"label\": \"tire spike normal\"},\n {\"box_2d\": [176, 650, 203, 686], \"label\": \"tire spike normal\"},\n {\"box_2d\": [103, 686, 128, 725], \"label\": \"tire spike normal\"},\n {\"box_2d\": [67, 616, 90, 651], \"label\": \"tire spike normal\"},\n {\"box_2d\": [25, 646, 44, 677], \"label\": \"tire spike normal\"},\n {\"box_2d\": [19, 328, 39, 360], \"label\": \"tire spike normal\"},\n {\"box_2d\": [851, 718, 872, 750], \"label\": \"tire spike normal\"},\n {\"box_2d\": [897, 286, 916, 319], \"label\": \"tire spike normal\"},\n {\"box_2d\": [928, 636, 946, 666], \"label\": \"tire spike normal\"},\n {\"box_2d\": [938, 733, 954, 760], \"label\": \"tire spike normal\"},\n {\"box_2d\": [359, 198, 389, 232], \"label\": \"tire spike absent\"},\n {\"box_2d\": [317, 742, 344, 775], \"label\": \"tire spike absent\"}\n]\n```", "correct": false, "input_tokens": 1206, "output_tokens": 977, "elapsed_seconds": 19.63563491695095, "metadata": {"match_method": "map", "num_predictions": 27, "num_ground_truth": 32, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.04118811711668968, "attempts": 1, "retries": 0, "total_seconds": 19.7122}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 186, "image": "floorplan-windows-doors_10035_png.rf.4ea81a436186bba253c43df724f8ab26.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [779, 489, 899, 535], \"label\": \"door\"},\n {\"box_2d\": [751, 597, 777, 675], \"label\": \"window\"},\n {\"box_2d\": [751, 773, 777, 835], \"label\": \"window\"},\n {\"box_2d\": [750, 330, 777, 409], \"label\": \"window\"},\n {\"box_2d\": [597, 828, 658, 868], \"label\": \"door\"},\n {\"box_2d\": [540, 766, 615, 813], \"label\": \"door\"},\n {\"box_2d\": [560, 678, 629, 722], \"label\": \"door\"},\n {\"box_2d\": [396, 769, 463, 815], \"label\": \"door\"},\n {\"box_2d\": [324, 920, 415, 938], \"label\": \"window\"},\n {\"box_2d\": [617, 920, 691, 987], \"label\": \"door\"},\n {\"box_2d\": [219, 678, 286, 727], \"label\": \"door\"},\n {\"box_2d\": [8, 772, 34, 851], \"label\": \"window\"},\n {\"box_2d\": [8, 588, 34, 667], \"label\": \"window\"},\n {\"box_2d\": [8, 502, 34, 582], \"label\": \"window\"},\n {\"box_2d\": [7, 348, 34, 427], \"label\": \"window\"},\n {\"box_2d\": [266, 396, 333, 444], \"label\": \"door\"},\n {\"box_2d\": [288, 311, 349, 346], \"label\": \"door\"},\n {\"box_2d\": [457, 312, 519, 346], \"label\": \"door\"},\n {\"box_2d\": [384, 446, 452, 489], \"label\": \"door\"},\n {\"box_2d\": [472, 396, 541, 445], \"label\": \"door\"},\n {\"box_2d\": [216, 184, 305, 239], \"label\": \"door\"},\n {\"box_2d\": [7, 129, 34, 192], \"label\": \"window\"}\n]\n```", "correct": true, "input_tokens": 1245, "output_tokens": 745, "elapsed_seconds": 10.717432625009678, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9249809384346008, "attempts": 1, "retries": 0, "total_seconds": 10.7979}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 187, "image": "IMG_6647_jpeg_jpg.rf.c9080c42346e2e5efd9c896163bdce7e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [562, 260, 651, 463], \"label\": \"white poker chip\"},\n {\"box_2d\": [553, 266, 628, 467], \"label\": \"white poker chip\"},\n {\"box_2d\": [479, 265, 595, 470], \"label\": \"white poker chip\"},\n {\"box_2d\": [561, 470, 667, 677], \"label\": \"white poker chip\"},\n {\"box_2d\": [540, 470, 651, 676], \"label\": \"white poker chip\"},\n {\"box_2d\": [537, 477, 634, 677], \"label\": \"white poker chip\"},\n {\"box_2d\": [517, 477, 618, 696], \"label\": \"white poker chip\"},\n {\"box_2d\": [504, 483, 603, 696], \"label\": \"white poker chip\"},\n {\"box_2d\": [493, 486, 587, 701], \"label\": \"white poker chip\"},\n {\"box_2d\": [495, 492, 568, 712], \"label\": \"white poker chip\"},\n {\"box_2d\": [450, 486, 549, 712], \"label\": \"white poker chip\"},\n {\"box_2d\": [448, 498, 528, 720], \"label\": \"white poker chip\"},\n {\"box_2d\": [438, 499, 507, 721], \"label\": \"white poker chip\"},\n {\"box_2d\": [416, 498, 486, 724], \"label\": \"white poker chip\"},\n {\"box_2d\": [377, 496, 466, 723], \"label\": \"white poker chip\"},\n {\"box_2d\": [368, 514, 444, 742], \"label\": \"white poker chip\"},\n {\"box_2d\": [365, 520, 425, 747], \"label\": \"white poker chip\"},\n {\"box_2d\": [330, 512, 401, 746], \"label\": \"white poker chip\"},\n {\"box_2d\": [315, 517, 380, 755], \"label\": \"white poker chip\"},\n {\"box_2d\": [299, 526, 358, 766], \"label\": \"white poker chip\"},\n {\"box_2d\": [274, 515, 333, 758], \"label\": \"white poker chip\"},\n {\"box_2d\": [254, 511, 307, 750], \"label\": \"white poker chip\"},\n {\"box_2d\": [219, 505, 282, 747], \"label\": \"white poker chip\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 840, "elapsed_seconds": 8.825205084052868, "metadata": {"match_method": "map", "num_predictions": 23, "num_ground_truth": 24, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8247955441474915, "attempts": 1, "retries": 0, "total_seconds": 8.8513}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 188, "image": "IMG_20220316_141641_jpg.rf.2b5b442678a6dd37dce39460868771a9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [546, 344, 960, 695], \"label\": \"king of spades\"},\n {\"box_2d\": [192, 98, 581, 421], \"label\": \"jack of spades\"},\n {\"box_2d\": [146, 567, 529, 868], \"label\": \"queen of spades\"},\n {\"box_2d\": [140, 333, 526, 655], \"label\": \"ten of spades\"},\n {\"box_2d\": [447, 30, 882, 398], \"label\": \"nine of spades\"}\n]\n```", "correct": true, "input_tokens": 1218, "output_tokens": 190, "elapsed_seconds": 9.035619457950816, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 9.0669}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 189, "image": "img_460975841708081304_png.rf.71eaf0b919ddab2a648aa76c72cc4a00.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [160, 147, 304, 249], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [178, 250, 314, 349], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [189, 353, 309, 444], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [202, 446, 323, 536], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [217, 536, 336, 629], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [232, 624, 349, 718], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [242, 710, 360, 804], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [242, 119, 412, 236], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [264, 237, 425, 344], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [278, 345, 405, 443], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [287, 447, 421, 545], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [300, 543, 440, 643], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [310, 636, 446, 740], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [322, 728, 456, 834], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [347, 89, 535, 218], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [364, 217, 548, 335], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [376, 337, 526, 444], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [387, 446, 541, 553], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [397, 551, 558, 660], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [410, 653, 560, 767], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [418, 754, 566, 868], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [468, 46, 678, 194], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [485, 191, 681, 323], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [495, 326, 663, 443], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [503, 446, 681, 565], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [509, 560, 690, 683], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [521, 672, 694, 796], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [527, 780, 696, 908], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [618, 0, 859, 171], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [637, 163, 857, 311], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [639, 312, 845, 444], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [643, 447, 848, 578], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [647, 574, 848, 710], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [659, 695, 855, 837], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [661, 816, 853, 956], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [815, 0, 1000, 134], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [821, 124, 1000, 293], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [820, 296, 1000, 443], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [821, 446, 1000, 595], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [819, 588, 1000, 740], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [825, 722, 1000, 880], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [827, 851, 1000, 1000], \"label\": \"full portable gas cylinder\"}\n]\n```", "correct": true, "input_tokens": 1203, "output_tokens": 1568, "elapsed_seconds": 19.029034583014436, "metadata": {"match_method": "map", "num_predictions": 42, "num_ground_truth": 42, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 19.143}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 190, "image": "0000242_03668_d_0000012_jpg.rf.06096e6f084464419e172f0d35ca4d48.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [777, 157, 962, 229], \"label\": \"car\"},\n {\"box_2d\": [451, 319, 548, 359], \"label\": \"car\"},\n {\"box_2d\": [448, 487, 529, 520], \"label\": \"car\"},\n {\"box_2d\": [603, 622, 998, 773], \"label\": \"bus\"},\n {\"box_2d\": [553, 690, 629, 738], \"label\": \"car\"},\n {\"box_2d\": [307, 241, 366, 302], \"label\": \"car\"},\n {\"box_2d\": [353, 110, 405, 187], \"label\": \"car\"},\n {\"box_2d\": [392, 41, 437, 94], \"label\": \"tricycle\"},\n {\"box_2d\": [411, 177, 453, 215], \"label\": \"motorcycle\"},\n {\"box_2d\": [392, 106, 433, 134], \"label\": \"motorcycle\"},\n {\"box_2d\": [407, 189, 442, 204], \"label\": \"person\"},\n {\"box_2d\": [405, 178, 442, 189], \"label\": \"person\"},\n {\"box_2d\": [274, 59, 333, 104], \"label\": \"van\"},\n {\"box_2d\": [224, 307, 287, 339], \"label\": \"car\"},\n {\"box_2d\": [248, 510, 301, 538], \"label\": \"car\"},\n {\"box_2d\": [133, 543, 175, 563], \"label\": \"car\"},\n {\"box_2d\": [309, 713, 357, 779], \"label\": \"car\"},\n {\"box_2d\": [374, 862, 429, 905], \"label\": \"car\"},\n {\"box_2d\": [31, 481, 61, 497], \"label\": \"car\"},\n {\"box_2d\": [349, 0, 401, 18], \"label\": \"car\"},\n {\"box_2d\": [388, 67, 422, 79], \"label\": \"person\"},\n {\"box_2d\": [388, 113, 422, 127], \"label\": \"person\"},\n {\"box_2d\": [277, 46, 309, 57], \"label\": \"person\"},\n {\"box_2d\": [274, 863, 309, 875], \"label\": \"person\"}\n]\n```", "correct": false, "input_tokens": 1253, "output_tokens": 817, "elapsed_seconds": 10.377762958058156, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 41, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.39750638604164124, "attempts": 1, "retries": 0, "total_seconds": 10.4115}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 191, "image": "DJI_20230529111835_0160_T_JPG_jpg.rf.cb5b9a9d87fdc7c9ff407eb5530abb88.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [92, 608, 192, 653], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [100, 530, 195, 570], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [100, 488, 197, 531], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [103, 447, 198, 491], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [361, 383, 456, 427], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [452, 508, 545, 550], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [447, 588, 542, 631], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [425, 962, 520, 1000], \"label\": \"solar panel hot spot\"}\n]\n```", "correct": false, "input_tokens": 1228, "output_tokens": 308, "elapsed_seconds": 14.959405625006184, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 14.982}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 192, "image": "oil-tank-detection_oiltank_72_jpg.rf.bfd5af54297ea9f409419db50cd04705.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [238, 281, 353, 412], \"label\": \"oil tank\"},\n {\"box_2d\": [347, 340, 466, 467], \"label\": \"oil tank\"},\n {\"box_2d\": [347, 462, 467, 589], \"label\": \"oil tank\"},\n {\"box_2d\": [468, 400, 588, 529], \"label\": \"oil tank\"},\n {\"box_2d\": [592, 461, 718, 594], \"label\": \"oil tank\"},\n {\"box_2d\": [686, 238, 818, 376], \"label\": \"oil tank\"},\n {\"box_2d\": [572, 184, 695, 319], \"label\": \"oil tank\"},\n {\"box_2d\": [465, 138, 581, 267], \"label\": \"oil tank\"},\n {\"box_2d\": [553, 0, 672, 128], \"label\": \"oil tank\"},\n {\"box_2d\": [666, 40, 792, 177], \"label\": \"oil tank\"},\n {\"box_2d\": [786, 90, 916, 229], \"label\": \"oil tank\"}\n]\n```", "correct": true, "input_tokens": 1217, "output_tokens": 393, "elapsed_seconds": 10.46488279197365, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 10.5461}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 193, "image": "fall-detection_11_mp4-445_jpg.rf.ec9538d8514a0521c6f155cde47497f3.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [500, 616, 567, 709], \"label\": \"fallen person\"},\n {\"box_2d\": [489, 825, 536, 945], \"label\": \"fallen person\"},\n {\"box_2d\": [686, 222, 781, 361], \"label\": \"fallen person\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 117, "elapsed_seconds": 7.173838249989785, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 7.19}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 194, "image": "IMG_0619_jpeg.rf.c3c23da72f8dbeb2815ccc4646178889.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [266, 309, 349, 376], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [262, 479, 331, 541], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [256, 639, 323, 701], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [321, 544, 409, 609], \"label\": \"caramel corn jelly bean\"},\n {\"box_2d\": [349, 362, 447, 423], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [453, 495, 569, 577], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [349, 749, 433, 837], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [485, 677, 574, 788], \"label\": \"peach jelly bean\"},\n {\"box_2d\": [600, 579, 750, 674], \"label\": \"caramel corn jelly bean\"},\n {\"box_2d\": [622, 344, 755, 477], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [481, 185, 610, 277], \"label\": \"tutti-fruitti jelly bean\"}\n]\n```", "correct": true, "input_tokens": 1230, "output_tokens": 430, "elapsed_seconds": 10.08597970905248, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9174917340278625, "attempts": 1, "retries": 0, "total_seconds": 10.1394}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 195, "image": "GP010243_JPG_jpg.rf.64d32b7106e99e9f954d84ee868d21ec.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [584, 482, 616, 684], \"label\": \"carrot\"},\n {\"box_2d\": [612, 384, 728, 444], \"label\": \"carrot\"},\n {\"box_2d\": [433, 344, 588, 392], \"label\": \"carrot\"},\n {\"box_2d\": [528, 344, 577, 469], \"label\": \"carrot\"},\n {\"box_2d\": [373, 392, 541, 416], \"label\": \"carrot\"},\n {\"box_2d\": [283, 344, 377, 452], \"label\": \"carrot\"},\n {\"box_2d\": [167, 375, 311, 417], \"label\": \"carrot\"},\n {\"box_2d\": [162, 391, 300, 441], \"label\": \"carrot\"},\n {\"box_2d\": [92, 498, 180, 611], \"label\": \"carrot\"},\n {\"box_2d\": [153, 527, 219, 680], \"label\": \"carrot\"},\n {\"box_2d\": [136, 475, 319, 570], \"label\": \"carrot\"},\n {\"box_2d\": [259, 473, 405, 608], \"label\": \"carrot\"},\n {\"box_2d\": [291, 484, 422, 508], \"label\": \"carrot\"},\n {\"box_2d\": [270, 452, 473, 488], \"label\": \"carrot\"},\n {\"box_2d\": [344, 409, 517, 439], \"label\": \"carrot\"},\n {\"box_2d\": [470, 419, 495, 575], \"label\": \"carrot\"},\n {\"box_2d\": [397, 489, 455, 631], \"label\": \"carrot\"},\n {\"box_2d\": [159, 622, 294, 683], \"label\": \"carrot\"},\n {\"box_2d\": [219, 614, 362, 691], \"label\": \"carrot\"},\n {\"box_2d\": [230, 617, 389, 705], \"label\": \"carrot\"},\n {\"box_2d\": [280, 680, 420, 709], \"label\": \"carrot\"},\n {\"box_2d\": [375, 559, 484, 681], \"label\": \"carrot\"},\n {\"box_2d\": [347, 594, 511, 623], \"label\": \"carrot\"},\n {\"box_2d\": [500, 423, 536, 569], \"label\": \"carrot\"},\n {\"box_2d\": [94, 445, 223, 495], \"label\": \"carrot\"},\n {\"box_2d\": [61, 355, 253, 386], \"label\": \"carrot\"},\n {\"box_2d\": [625, 384, 755, 544], \"label\": \"carrot\"},\n {\"box_2d\": [609, 472, 648, 650], \"label\": \"carrot\"},\n {\"box_2d\": [91, 386, 217, 459], \"label\": \"carrot\"},\n {\"box_2d\": [131, 564, 331, 606], \"label\": \"carrot\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 1028, "elapsed_seconds": 12.612075667013414, "metadata": {"match_method": "map", "num_predictions": 30, "num_ground_truth": 31, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9603960514068604, "attempts": 1, "retries": 0, "total_seconds": 12.6395}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 196, "image": "AF6880-9_2025_NCPT-169_JPG_jpg.rf.ea0bce7069f12d5c1ba29710a0998228.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [58, 191, 146, 228], \"label\": \"potato\"},\n {\"box_2d\": [17, 240, 81, 267], \"label\": \"potato\"},\n {\"box_2d\": [82, 239, 147, 267], \"label\": \"potato\"},\n {\"box_2d\": [149, 233, 222, 267], \"label\": \"potato\"},\n {\"box_2d\": [32, 287, 90, 308], \"label\": \"potato\"},\n {\"box_2d\": [61, 321, 155, 357], \"label\": \"potato\"},\n {\"box_2d\": [252, 275, 345, 311], \"label\": \"potato\"},\n {\"box_2d\": [401, 235, 459, 261], \"label\": \"potato\"},\n {\"box_2d\": [430, 277, 518, 309], \"label\": \"potato\"},\n {\"box_2d\": [324, 322, 424, 360], \"label\": \"potato\"},\n {\"box_2d\": [9, 372, 87, 403], \"label\": \"potato\"},\n {\"box_2d\": [94, 369, 161, 400], \"label\": \"potato\"},\n {\"box_2d\": [163, 371, 234, 398], \"label\": \"potato\"},\n {\"box_2d\": [228, 362, 278, 383], \"label\": \"potato\"},\n {\"box_2d\": [278, 359, 389, 403], \"label\": \"potato\"},\n {\"box_2d\": [391, 366, 471, 397], \"label\": \"potato\"},\n {\"box_2d\": [454, 321, 532, 349], \"label\": \"potato\"},\n {\"box_2d\": [527, 276, 616, 312], \"label\": \"potato\"},\n {\"box_2d\": [672, 232, 749, 262], \"label\": \"potato\"},\n {\"box_2d\": [644, 273, 726, 307], \"label\": \"potato\"},\n {\"box_2d\": [729, 276, 804, 303], \"label\": \"potato\"},\n {\"box_2d\": [591, 317, 670, 351], \"label\": \"potato\"},\n {\"box_2d\": [921, 314, 1000, 346], \"label\": \"potato\"},\n {\"box_2d\": [661, 365, 728, 393], \"label\": \"potato\"},\n {\"box_2d\": [729, 356, 825, 398], \"label\": \"potato\"},\n {\"box_2d\": [828, 354, 927, 393], \"label\": \"potato\"},\n {\"box_2d\": [927, 360, 1000, 397], \"label\": \"potato\"},\n {\"box_2d\": [865, 398, 941, 434], \"label\": \"potato\"},\n {\"box_2d\": [941, 406, 1000, 434], \"label\": \"potato\"},\n {\"box_2d\": [658, 402, 746, 440], \"label\": \"potato\"},\n {\"box_2d\": [473, 361, 574, 399], \"label\": \"potato\"},\n {\"box_2d\": [506, 402, 611, 438], \"label\": \"potato\"},\n {\"box_2d\": [401, 401, 495, 440], \"label\": \"potato\"},\n {\"box_2d\": [343, 413, 395, 437], \"label\": \"potato\"},\n {\"box_2d\": [249, 411, 342, 445], \"label\": \"potato\"},\n {\"box_2d\": [143, 410, 248, 449], \"label\": \"potato\"},\n {\"box_2d\": [74, 413, 143, 443], \"label\": \"potato\"},\n {\"box_2d\": [6, 455, 106, 498], \"label\": \"potato\"},\n {\"box_2d\": [112, 454, 204, 490], \"label\": \"potato\"},\n {\"box_2d\": [205, 453, 290, 490], \"label\": \"potato\"},\n {\"box_2d\": [290, 447, 363, 479], \"label\": \"potato\"},\n {\"box_2d\": [365, 449, 462, 489], \"label\": \"potato\"},\n {\"box_2d\": [517, 452, 588, 483], \"label\": \"potato\"},\n {\"box_2d\": [608, 447, 693, 484], \"label\": \"potato\"},\n {\"box_2d\": [488, 493, 597, 540], \"label\": \"potato\"},\n {\"box_2d\": [766, 489, 856, 529], \"label\": \"potato\"},\n {\"box_2d\": [859, 493, 932, 521], \"label\": \"potato\"},\n {\"box_2d\": [933, 491, 1000, 524], \"label\": \"potato\"},\n {\"box_2d\": [280, 500, 377, 537], \"label\": \"potato\"},\n {\"box_2d\": [213, 504, 278, 529], \"label\": \"potato\"},\n {\"box_2d\": [137, 502, 211, 532], \"label\": \"potato\"},\n {\"box_2d\": [52, 502, 134, 536], \"label\": \"potato\"},\n {\"box_2d\": [228, 543, 315, 574], \"label\": \"potato\"},\n {\"box_2d\": [388, 537, 482, 580], \"label\": \"potato\"},\n {\"box_2d\": [562, 586, 632, 612], \"label\": \"potato\"},\n {\"box_2d\": [637, 582, 728, 611], \"label\": \"potato\"},\n {\"box_2d\": [237, 582, 350, 620], \"label\": \"potato\"},\n {\"box_2d\": [78, 587, 169, 621], \"label\": \"potato\"},\n {\"box_2d\": [6, 634, 94, 664], \"label\": \"potato\"},\n {\"box_2d\": [93, 634, 175, 670], \"label\": \"potato\"},\n {\"box_2d\": [176, 635, 234, 660], \"label\": \"potato\"},\n {\"box_2d\": [193, 672, 293, 707], \"label\": \"potato\"},\n {\"box_2d\": [422, 671, 514, 703], \"label\": \"potato\"},\n {\"box_2d\": [571, 670, 631, 695], \"label\": \"potato\"},\n {\"box_2d\": [824, 665, 913, 698], \"label\": \"potato\"},\n {\"box_2d\": [579, 753, 681, 790], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 2240, "elapsed_seconds": 43.89532920799684, "metadata": {"match_method": "map", "num_predictions": 66, "num_ground_truth": 67, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9801980257034302, "attempts": 1, "retries": 0, "total_seconds": 44.6088}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 197, "image": "frame_0086_jpg.rf.5ae0e80356e2c5bb993a052e5023c7f1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [119, 329, 152, 350], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [32, 342, 65, 362], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [31, 396, 65, 417], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [35, 452, 70, 474], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [41, 508, 76, 529], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [115, 384, 154, 406], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [121, 441, 158, 464], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [126, 499, 165, 523], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [653, 300, 700, 325], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [765, 297, 813, 320], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [880, 295, 926, 317], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [886, 355, 933, 378], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [900, 419, 945, 442], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [914, 483, 959, 507], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [796, 487, 845, 511], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [682, 489, 731, 514], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [669, 424, 718, 450], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [658, 360, 708, 386], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [771, 357, 821, 381], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [782, 422, 833, 447], \"label\": \"soda bottle cap\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 724, "elapsed_seconds": 34.037191958050244, "metadata": {"match_method": "map", "num_predictions": 20, "num_ground_truth": 20, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 34.6075}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 198, "image": "image_147_png_jpg.rf.fd3e0f5032b1ae386c027b1058ac751a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [112, 667, 405, 895], \"label\": \"tire size text\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 48, "elapsed_seconds": 20.410169374896213, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5049504637718201, "attempts": 1, "retries": 0, "total_seconds": 20.8299}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 199, "image": "fabric-defect_1080_jpg.rf.77a4ab03e25cfeeaaa1f6bbdcb3e7742.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [565, 489, 672, 743], \"label\": \"fabric cut\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 47, "elapsed_seconds": 4.124847542028874, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 4.1369}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 200, "image": "oil-tank-detection_oiltank_137_jpg.rf.be33343bf10652832014b855d080a80c.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [77, 462, 223, 583], \"label\": \"oil tank\"},\n {\"box_2d\": [92, 597, 232, 725], \"label\": \"oil tank\"},\n {\"box_2d\": [238, 456, 376, 581], \"label\": \"oil tank\"},\n {\"box_2d\": [243, 595, 384, 718], \"label\": \"oil tank\"},\n {\"box_2d\": [393, 449, 534, 574], \"label\": \"oil tank\"},\n {\"box_2d\": [401, 590, 545, 714], \"label\": \"oil tank\"},\n {\"box_2d\": [545, 453, 680, 560], \"label\": \"oil tank\"},\n {\"box_2d\": [556, 595, 687, 705], \"label\": \"oil tank\"},\n {\"box_2d\": [363, 732, 487, 835], \"label\": \"oil tank\"},\n {\"box_2d\": [230, 732, 358, 836], \"label\": \"oil tank\"},\n {\"box_2d\": [99, 735, 221, 839], \"label\": \"oil tank\"},\n {\"box_2d\": [112, 853, 189, 919], \"label\": \"oil tank\"},\n {\"box_2d\": [191, 853, 272, 919], \"label\": \"oil tank\"},\n {\"box_2d\": [273, 853, 350, 919], \"label\": \"oil tank\"},\n {\"box_2d\": [356, 855, 434, 922], \"label\": \"oil tank\"},\n {\"box_2d\": [442, 850, 524, 917], \"label\": \"oil tank\"},\n {\"box_2d\": [588, 848, 667, 915], \"label\": \"oil tank\"}\n]\n```", "correct": true, "input_tokens": 1217, "output_tokens": 604, "elapsed_seconds": 10.037119667045772, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 17, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 10.1123}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 201, "image": "basketball-player-detection_boston-celtics-new-york-knicks-game-1-q1-05-13-05-09-0000_png.rf.31fd4573143b8c82031c8804c4754e40.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [244, 654, 453, 697], \"label\": \"player\"},\n {\"box_2d\": [298, 667, 319, 681], \"label\": \"jersey number\"},\n {\"box_2d\": [174, 665, 355, 703], \"label\": \"player\"},\n {\"box_2d\": [191, 539, 378, 591], \"label\": \"player\"},\n {\"box_2d\": [230, 560, 261, 569], \"label\": \"jersey number\"},\n {\"box_2d\": [140, 529, 314, 564], \"label\": \"player\"},\n {\"box_2d\": [306, 294, 490, 357], \"label\": \"player\"},\n {\"box_2d\": [332, 317, 353, 336], \"label\": \"jersey number\"},\n {\"box_2d\": [397, 224, 651, 281], \"label\": \"player\"},\n {\"box_2d\": [461, 242, 488, 253], \"label\": \"jersey number\"},\n {\"box_2d\": [357, 130, 610, 181], \"label\": \"player\"},\n {\"box_2d\": [404, 141, 434, 152], \"label\": \"jersey number\"},\n {\"box_2d\": [290, 156, 457, 211], \"label\": \"player in possession\"},\n {\"box_2d\": [324, 198, 351, 213], \"label\": \"basketball\"},\n {\"box_2d\": [224, 6, 399, 69], \"label\": \"referee\"},\n {\"box_2d\": [200, 744, 379, 786], \"label\": \"referee\"},\n {\"box_2d\": [194, 711, 255, 741], \"label\": \"basket rim\"},\n {\"box_2d\": [480, 483, 690, 530], \"label\": \"player\"},\n {\"box_2d\": [579, 466, 807, 531], \"label\": \"player\"},\n {\"box_2d\": [676, 629, 912, 681], \"label\": \"referee\"},\n {\"box_2d\": [724, 648, 750, 667], \"label\": \"jersey number\"}\n]\n```", "correct": false, "input_tokens": 1250, "output_tokens": 735, "elapsed_seconds": 11.719031500048004, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 23, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7382838129997253, "attempts": 1, "retries": 0, "total_seconds": 11.8527}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 202, "image": "z4517190790071_c6f2ede212488ea95f254bbe631608fc_jpg.rf.f7f6570fcaaac50f965457b35ee9278d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [548, 25, 686, 209], \"label\": \"50 poker chip\"},\n {\"box_2d\": [361, 100, 485, 275], \"label\": \"100 poker chip\"},\n {\"box_2d\": [457, 185, 586, 366], \"label\": \"10 poker chip\"},\n {\"box_2d\": [280, 239, 396, 405], \"label\": \"20 poker chip\"},\n {\"box_2d\": [157, 349, 263, 506], \"label\": \"10 poker chip\"},\n {\"box_2d\": [228, 587, 341, 753], \"label\": \"50 poker chip\"},\n {\"box_2d\": [291, 439, 409, 606], \"label\": \"20 poker chip\"},\n {\"box_2d\": [420, 357, 546, 530], \"label\": \"20 poker chip\"},\n {\"box_2d\": [572, 245, 715, 431], \"label\": \"20 poker chip\"},\n {\"box_2d\": [525, 456, 663, 639], \"label\": \"20 poker chip\"},\n {\"box_2d\": [425, 606, 553, 785], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [343, 770, 466, 948], \"label\": \"5000 poker chip\"},\n {\"box_2d\": [548, 696, 689, 888], \"label\": \"500 poker chip\"},\n {\"box_2d\": [692, 600, 848, 800], \"label\": \"50 poker chip\"},\n {\"box_2d\": [704, 395, 862, 593], \"label\": \"50 poker chip\"}\n]\n```", "correct": true, "input_tokens": 1246, "output_tokens": 572, "elapsed_seconds": 20.424114916007966, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 20.7203}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 203, "image": "0000272_05500_d_0000012_jpg.rf.4ba2cfdc69b70f306855d444db49f509.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [771, 353, 851, 370], \"label\": \"person\"},\n {\"box_2d\": [715, 404, 780, 419], \"label\": \"person\"},\n {\"box_2d\": [749, 403, 799, 418], \"label\": \"bike\"},\n {\"box_2d\": [866, 452, 999, 519], \"label\": \"car\"},\n {\"box_2d\": [592, 476, 742, 526], \"label\": \"car\"},\n {\"box_2d\": [617, 581, 732, 646], \"label\": \"car\"},\n {\"box_2d\": [423, 480, 519, 520], \"label\": \"car\"},\n {\"box_2d\": [283, 487, 360, 521], \"label\": \"car\"},\n {\"box_2d\": [232, 528, 283, 557], \"label\": \"car\"},\n {\"box_2d\": [174, 586, 220, 613], \"label\": \"car\"},\n {\"box_2d\": [491, 672, 549, 691], \"label\": \"person\"},\n {\"box_2d\": [419, 412, 474, 427], \"label\": \"person\"},\n {\"box_2d\": [186, 484, 250, 506], \"label\": \"van\"},\n {\"box_2d\": [259, 567, 319, 587], \"label\": \"tricycle\"},\n {\"box_2d\": [133, 449, 169, 456], \"label\": \"person\"},\n {\"box_2d\": [202, 461, 240, 470], \"label\": \"person\"},\n {\"box_2d\": [219, 461, 244, 470], \"label\": \"bike\"},\n {\"box_2d\": [336, 608, 375, 622], \"label\": \"person\"},\n {\"box_2d\": [357, 607, 383, 620], \"label\": \"motorcycle\"},\n {\"box_2d\": [426, 846, 462, 868], \"label\": \"motorcycle\"},\n {\"box_2d\": [27, 520, 57, 535], \"label\": \"car\"},\n {\"box_2d\": [38, 560, 74, 575], \"label\": \"car\"},\n {\"box_2d\": [77, 563, 108, 580], \"label\": \"car\"},\n {\"box_2d\": [117, 425, 160, 441], \"label\": \"car\"},\n {\"box_2d\": [335, 383, 395, 403], \"label\": \"awning tricycle\"},\n {\"box_2d\": [294, 388, 345, 404], \"label\": \"awning tricycle\"},\n {\"box_2d\": [66, 427, 120, 447], \"label\": \"truck\"},\n {\"box_2d\": [253, 403, 297, 419], \"label\": \"tricycle\"},\n {\"box_2d\": [189, 396, 224, 429], \"label\": \"car\"},\n {\"box_2d\": [750, 29, 833, 82], \"label\": \"car\"}\n]\n```", "correct": false, "input_tokens": 1251, "output_tokens": 1028, "elapsed_seconds": 15.333903040969744, "metadata": {"match_method": "map", "num_predictions": 30, "num_ground_truth": 48, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3110148310661316, "attempts": 1, "retries": 0, "total_seconds": 15.4016}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 204, "image": "IMG_20251126_160326_jpg.rf.31a216199c4280d746f5865a68a63ce2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 476, 198, 554], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [0, 629, 179, 710], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [686, 33, 785, 104], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [660, 118, 950, 194], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [680, 241, 770, 311], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [654, 309, 770, 385], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [671, 381, 767, 449], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [666, 463, 762, 530], \"label\": \"white standard price tag\"},\n {\"box_2d\": [636, 591, 922, 667], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [657, 688, 753, 758], \"label\": \"white standard price tag\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 377, "elapsed_seconds": 14.678678750060499, "metadata": {"match_method": "map", "num_predictions": 10, "num_ground_truth": 10, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 15.1103}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 205, "image": "54_jpg.rf.3f4031b98a1a0622e63a0c84142db646.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [50, 111, 119, 350], \"label\": \"blood sample tube\"},\n {\"box_2d\": [41, 294, 323, 448], \"label\": \"blood sample tube\"},\n {\"box_2d\": [47, 452, 236, 675], \"label\": \"blood sample tube\"},\n {\"box_2d\": [17, 544, 92, 786], \"label\": \"blood sample tube\"},\n {\"box_2d\": [72, 650, 380, 789], \"label\": \"blood sample tube\"},\n {\"box_2d\": [50, 783, 377, 839], \"label\": \"blood sample tube\"},\n {\"box_2d\": [155, 827, 483, 880], \"label\": \"blood sample tube\"},\n {\"box_2d\": [191, 559, 461, 738], \"label\": \"blood sample tube\"},\n {\"box_2d\": [231, 642, 508, 825], \"label\": \"blood sample tube\"},\n {\"box_2d\": [336, 472, 612, 639], \"label\": \"blood sample tube\"},\n {\"box_2d\": [423, 617, 608, 850], \"label\": \"blood sample tube\"},\n {\"box_2d\": [509, 647, 692, 888], \"label\": \"blood sample tube\"},\n {\"box_2d\": [542, 553, 725, 786], \"label\": \"blood sample tube\"},\n {\"box_2d\": [678, 417, 744, 661], \"label\": \"blood sample tube\"},\n {\"box_2d\": [411, 375, 711, 517], \"label\": \"blood sample tube\"},\n {\"box_2d\": [295, 370, 598, 497], \"label\": \"blood sample tube\"},\n {\"box_2d\": [377, 305, 684, 428], \"label\": \"blood sample tube\"},\n {\"box_2d\": [173, 319, 420, 516], \"label\": \"blood sample tube\"},\n {\"box_2d\": [308, 223, 631, 277], \"label\": \"blood sample tube\"},\n {\"box_2d\": [400, 108, 697, 245], \"label\": \"blood sample tube\"},\n {\"box_2d\": [689, 117, 750, 361], \"label\": \"blood sample tube\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 761, "elapsed_seconds": 7.524813332944177, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 21, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 7.5552}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 206, "image": "car-part-detection_Car-damages-100_png_jpg.rf.662e4c271efc89eea96c10e14886a134.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [228, 344, 360, 535], \"label\": \"front window\"},\n {\"box_2d\": [228, 549, 353, 748], \"label\": \"back window\"},\n {\"box_2d\": [221, 524, 591, 766], \"label\": \"back door\"},\n {\"box_2d\": [224, 299, 579, 541], \"label\": \"front door\"},\n {\"box_2d\": [315, 322, 362, 343], \"label\": \"mirror\"},\n {\"box_2d\": [369, 879, 435, 954], \"label\": \"tail light\"},\n {\"box_2d\": [391, 118, 435, 162], \"label\": \"headlight\"},\n {\"box_2d\": [329, 134, 398, 286], \"label\": \"hood\"},\n {\"box_2d\": [433, 838, 607, 962], \"label\": \"back bumper\"},\n {\"box_2d\": [414, 102, 576, 179], \"label\": \"front bumper\"},\n {\"box_2d\": [235, 736, 336, 890], \"label\": \"back windshield\"},\n {\"box_2d\": [231, 292, 336, 432], \"label\": \"windshield\"}\n]\n```", "correct": false, "input_tokens": 1273, "output_tokens": 430, "elapsed_seconds": 5.822682917001657, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 13, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7499998807907104, "attempts": 1, "retries": 0, "total_seconds": 5.841}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 207, "image": "11_jpeg_jpg.rf.39329fe23320cf7bc33af6b9a57582d1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [77, 259, 179, 340], \"label\": \"potato\"},\n {\"box_2d\": [88, 645, 181, 738], \"label\": \"potato\"},\n {\"box_2d\": [324, 981, 404, 1000], \"label\": \"potato\"},\n {\"box_2d\": [298, 35, 422, 134], \"label\": \"potato\"},\n {\"box_2d\": [299, 346, 389, 434], \"label\": \"potato\"},\n {\"box_2d\": [489, 405, 591, 498], \"label\": \"potato\"},\n {\"box_2d\": [498, 200, 603, 307], \"label\": \"potato\"},\n {\"box_2d\": [529, 229, 659, 317], \"label\": \"potato\"},\n {\"box_2d\": [504, 619, 593, 701], \"label\": \"potato\"},\n {\"box_2d\": [504, 789, 601, 878], \"label\": \"potato\"},\n {\"box_2d\": [652, 511, 818, 621], \"label\": \"potato\"},\n {\"box_2d\": [712, 703, 810, 782], \"label\": \"potato\"},\n {\"box_2d\": [704, 814, 807, 882], \"label\": \"potato\"},\n {\"box_2d\": [900, 744, 1000, 839], \"label\": \"potato\"},\n {\"box_2d\": [916, 316, 1000, 421], \"label\": \"potato\"},\n {\"box_2d\": [717, 1, 807, 33], \"label\": \"potato\"},\n {\"box_2d\": [699, 323, 827, 434], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1240, "output_tokens": 587, "elapsed_seconds": 7.783754125004634, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9668025374412537, "attempts": 1, "retries": 0, "total_seconds": 7.8259}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 208, "image": "oil-tank-detection_oiltank_3_jpg.rf.be0eb144cee15c2f85755ead464dc286.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [105, 74, 232, 174], \"label\": \"oil tank\"},\n {\"box_2d\": [283, 74, 417, 175], \"label\": \"oil tank\"},\n {\"box_2d\": [99, 231, 229, 330], \"label\": \"oil tank\"},\n {\"box_2d\": [278, 233, 410, 333], \"label\": \"oil tank\"},\n {\"box_2d\": [92, 459, 217, 560], \"label\": \"oil tank\"},\n {\"box_2d\": [270, 464, 401, 565], \"label\": \"oil tank\"},\n {\"box_2d\": [86, 616, 211, 715], \"label\": \"oil tank\"},\n {\"box_2d\": [264, 622, 396, 723], \"label\": \"oil tank\"},\n {\"box_2d\": [540, 134, 629, 200], \"label\": \"oil tank\"},\n {\"box_2d\": [537, 228, 625, 293], \"label\": \"oil tank\"}\n]\n```", "correct": true, "input_tokens": 1217, "output_tokens": 357, "elapsed_seconds": 7.421006750082597, "metadata": {"match_method": "map", "num_predictions": 10, "num_ground_truth": 10, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 7.4964}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 209, "image": "tile_558_jpg.rf.98aa48e6c54062f1e67b01de665e6887.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [75, 882, 95, 922], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [310, 569, 333, 605], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [345, 248, 376, 323], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [623, 340, 666, 421], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [602, 839, 619, 892], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [868, 155, 900, 226], \"label\": \"ship in SAR satellite image\"}\n]\n```", "correct": true, "input_tokens": 1229, "output_tokens": 238, "elapsed_seconds": 4.795535416924395, "metadata": {"match_method": "map", "num_predictions": 6, "num_ground_truth": 6, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 4.8424}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 210, "image": "20230224_110122_jpg.rf.94c8b9d6caaec8593c315337e30857d7.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [589, 200, 646, 284], \"label\": \"crack\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 46, "elapsed_seconds": 2.2931935830274597, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 2.3092}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 211, "image": "IMG_20220316_144550_jpg.rf.92c6d74a9ccc9c6c90918613d40eb144.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [553, 170, 999, 513], \"label\": \"five of hearts\"},\n {\"box_2d\": [283, 513, 667, 684], \"label\": \"eight of hearts\"},\n {\"box_2d\": [244, 289, 646, 521], \"label\": \"six of hearts\"},\n {\"box_2d\": [443, 405, 892, 668], \"label\": \"seven of hearts\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 156, "elapsed_seconds": 3.2301202500239015, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 3.2525}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 212, "image": "wood-log-detection_006_png_jpg.rf.45786538ddac406dd0014f409b1d4caa.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [56, 448, 198, 534], \"label\": \"log cross-section\"},\n {\"box_2d\": [86, 292, 255, 422], \"label\": \"log cross-section\"},\n {\"box_2d\": [92, 200, 255, 344], \"label\": \"log cross-section\"},\n {\"box_2d\": [181, 236, 255, 309], \"label\": \"log cross-section\"},\n {\"box_2d\": [205, 319, 253, 366], \"label\": \"log cross-section\"},\n {\"box_2d\": [119, 388, 253, 456], \"label\": \"log cross-section\"},\n {\"box_2d\": [189, 444, 253, 488], \"label\": \"log cross-section\"},\n {\"box_2d\": [119, 475, 255, 555], \"label\": \"log cross-section\"},\n {\"box_2d\": [147, 558, 255, 622], \"label\": \"log cross-section\"},\n {\"box_2d\": [161, 616, 255, 686], \"label\": \"log cross-section\"},\n {\"box_2d\": [159, 678, 255, 780], \"label\": \"log cross-section\"},\n {\"box_2d\": [56, 553, 189, 634], \"label\": \"log cross-section\"},\n {\"box_2d\": [123, 556, 178, 594], \"label\": \"log cross-section\"},\n {\"box_2d\": [117, 592, 188, 645], \"label\": \"log cross-section\"},\n {\"box_2d\": [78, 619, 152, 681], \"label\": \"log cross-section\"},\n {\"box_2d\": [108, 645, 191, 712], \"label\": \"log cross-section\"}\n]\n```", "correct": false, "input_tokens": 1228, "output_tokens": 599, "elapsed_seconds": 6.918819583021104, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 6.945}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 213, "image": "Container_864_jpg.rf.9627e6adc1ff8e75c7d8ca9f8cc06311.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [96, 604, 195, 617], \"label\": \"container ISO type code\"},\n {\"box_2d\": [113, 543, 391, 566], \"label\": \"shipping container number\"},\n {\"box_2d\": [199, 910, 279, 959], \"label\": \"shipping container number\"},\n {\"box_2d\": [248, 941, 279, 953], \"label\": \"container ISO type code\"}\n]\n```", "correct": true, "input_tokens": 1232, "output_tokens": 157, "elapsed_seconds": 3.421013041981496, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 3.4377}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 214, "image": "uav20221018_ixfZ_3857_14_png.rf.64d1ce8897202b1ab5141c12ebcde0db.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 159, 44, 224], \"label\": \"banana tree\"},\n {\"box_2d\": [0, 469, 80, 540], \"label\": \"banana tree\"},\n {\"box_2d\": [54, 557, 104, 594], \"label\": \"banana tree\"},\n {\"box_2d\": [88, 179, 130, 211], \"label\": \"banana tree\"},\n {\"box_2d\": [94, 467, 160, 535], \"label\": \"banana tree\"},\n {\"box_2d\": [117, 250, 169, 287], \"label\": \"banana tree\"},\n {\"box_2d\": [146, 544, 198, 598], \"label\": \"banana tree\"},\n {\"box_2d\": [168, 476, 251, 542], \"label\": \"banana tree\"},\n {\"box_2d\": [171, 173, 214, 219], \"label\": \"banana tree\"},\n {\"box_2d\": [213, 241, 259, 279], \"label\": \"banana tree\"},\n {\"box_2d\": [259, 181, 297, 216], \"label\": \"banana tree\"},\n {\"box_2d\": [273, 491, 324, 532], \"label\": \"banana tree\"},\n {\"box_2d\": [315, 559, 360, 594], \"label\": \"banana tree\"},\n {\"box_2d\": [345, 174, 397, 229], \"label\": \"banana tree\"},\n {\"box_2d\": [347, 479, 434, 546], \"label\": \"banana tree\"},\n {\"box_2d\": [401, 553, 445, 597], \"label\": \"banana tree\"},\n {\"box_2d\": [427, 180, 483, 221], \"label\": \"banana tree\"},\n {\"box_2d\": [438, 487, 499, 543], \"label\": \"banana tree\"},\n {\"box_2d\": [472, 249, 521, 293], \"label\": \"banana tree\"},\n {\"box_2d\": [482, 565, 534, 603], \"label\": \"banana tree\"},\n {\"box_2d\": [517, 186, 558, 226], \"label\": \"banana tree\"},\n {\"box_2d\": [524, 478, 588, 539], \"label\": \"banana tree\"},\n {\"box_2d\": [562, 250, 610, 290], \"label\": \"banana tree\"},\n {\"box_2d\": [579, 561, 623, 601], \"label\": \"banana tree\"},\n {\"box_2d\": [602, 184, 650, 232], \"label\": \"banana tree\"},\n {\"box_2d\": [618, 491, 678, 549], \"label\": \"banana tree\"},\n {\"box_2d\": [641, 246, 706, 296], \"label\": \"banana tree\"},\n {\"box_2d\": [661, 549, 710, 603], \"label\": \"banana tree\"},\n {\"box_2d\": [686, 170, 742, 235], \"label\": \"banana tree\"},\n {\"box_2d\": [686, 481, 773, 565], \"label\": \"banana tree\"},\n {\"box_2d\": [731, 243, 783, 294], \"label\": \"banana tree\"},\n {\"box_2d\": [745, 555, 793, 609], \"label\": \"banana tree\"},\n {\"box_2d\": [765, 858, 821, 916], \"label\": \"banana tree\"},\n {\"box_2d\": [781, 180, 829, 232], \"label\": \"banana tree\"},\n {\"box_2d\": [791, 478, 864, 544], \"label\": \"banana tree\"},\n {\"box_2d\": [811, 780, 875, 842], \"label\": \"banana tree\"},\n {\"box_2d\": [822, 250, 875, 297], \"label\": \"banana tree\"},\n {\"box_2d\": [836, 567, 875, 604], \"label\": \"banana tree\"},\n {\"box_2d\": [864, 181, 919, 238], \"label\": \"banana tree\"},\n {\"box_2d\": [871, 488, 932, 547], \"label\": \"banana tree\"},\n {\"box_2d\": [900, 793, 964, 846], \"label\": \"banana tree\"},\n {\"box_2d\": [908, 253, 963, 305], \"label\": \"banana tree\"},\n {\"box_2d\": [937, 864, 994, 916], \"label\": \"banana tree\"},\n {\"box_2d\": [958, 181, 1000, 237], \"label\": \"banana tree\"},\n {\"box_2d\": [960, 490, 1000, 550], \"label\": \"banana tree\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 1580, "elapsed_seconds": 15.263339000055566, "metadata": {"match_method": "map", "num_predictions": 45, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8504088521003723, "attempts": 1, "retries": 0, "total_seconds": 15.3304}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 215, "image": "1704192313045_jpg.rf.f68f24072cd4a5061cddf9521b0b617a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [698, 228, 780, 300], \"label\": \"chickpea grain\"},\n {\"box_2d\": [591, 731, 670, 806], \"label\": \"chickpea grain\"},\n {\"box_2d\": [266, 603, 336, 686], \"label\": \"chickpea grain\"},\n {\"box_2d\": [431, 294, 514, 366], \"label\": \"chickpea grain\"},\n {\"box_2d\": [502, 439, 564, 509], \"label\": \"chickpea grain\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 192, "elapsed_seconds": 4.591623540967703, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 4.611}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 216, "image": "A15311-6Ctrv_2025_NCPT-174_JPG_jpg.rf.fc9ee0cac2da2d059bc0db453be0c788.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [17, 171, 66, 190], \"label\": \"potato\"},\n {\"box_2d\": [109, 158, 200, 193], \"label\": \"potato\"},\n {\"box_2d\": [200, 162, 268, 190], \"label\": \"potato\"},\n {\"box_2d\": [109, 207, 185, 236], \"label\": \"potato\"},\n {\"box_2d\": [13, 255, 70, 278], \"label\": \"potato\"},\n {\"box_2d\": [77, 248, 157, 281], \"label\": \"potato\"},\n {\"box_2d\": [181, 243, 272, 281], \"label\": \"potato\"},\n {\"box_2d\": [9, 293, 94, 323], \"label\": \"potato\"},\n {\"box_2d\": [94, 293, 149, 319], \"label\": \"potato\"},\n {\"box_2d\": [149, 290, 228, 321], \"label\": \"potato\"},\n {\"box_2d\": [9, 341, 66, 365], \"label\": \"potato\"},\n {\"box_2d\": [66, 333, 155, 369], \"label\": \"potato\"},\n {\"box_2d\": [183, 321, 304, 367], \"label\": \"potato\"},\n {\"box_2d\": [304, 330, 398, 368], \"label\": \"potato\"},\n {\"box_2d\": [430, 203, 496, 229], \"label\": \"potato\"},\n {\"box_2d\": [570, 199, 645, 229], \"label\": \"potato\"},\n {\"box_2d\": [377, 246, 455, 275], \"label\": \"potato\"},\n {\"box_2d\": [496, 244, 585, 278], \"label\": \"potato\"},\n {\"box_2d\": [391, 280, 517, 325], \"label\": \"potato\"},\n {\"box_2d\": [517, 295, 549, 313], \"label\": \"potato\"},\n {\"box_2d\": [549, 293, 606, 315], \"label\": \"potato\"},\n {\"box_2d\": [606, 291, 672, 313], \"label\": \"potato\"},\n {\"box_2d\": [691, 286, 762, 313], \"label\": \"potato\"},\n {\"box_2d\": [806, 243, 885, 272], \"label\": \"potato\"},\n {\"box_2d\": [445, 328, 549, 366], \"label\": \"potato\"},\n {\"box_2d\": [562, 330, 653, 367], \"label\": \"potato\"},\n {\"box_2d\": [653, 335, 713, 358], \"label\": \"potato\"},\n {\"box_2d\": [34, 379, 109, 408], \"label\": \"potato\"},\n {\"box_2d\": [109, 376, 189, 410], \"label\": \"potato\"},\n {\"box_2d\": [189, 377, 270, 410], \"label\": \"potato\"},\n {\"box_2d\": [270, 369, 374, 410], \"label\": \"potato\"},\n {\"box_2d\": [77, 421, 155, 454], \"label\": \"potato\"},\n {\"box_2d\": [155, 417, 262, 458], \"label\": \"potato\"},\n {\"box_2d\": [123, 460, 240, 500], \"label\": \"potato\"},\n {\"box_2d\": [283, 415, 406, 456], \"label\": \"potato\"},\n {\"box_2d\": [411, 416, 509, 452], \"label\": \"potato\"},\n {\"box_2d\": [315, 454, 434, 502], \"label\": \"potato\"},\n {\"box_2d\": [434, 465, 502, 495], \"label\": \"potato\"},\n {\"box_2d\": [368, 502, 498, 544], \"label\": \"potato\"},\n {\"box_2d\": [485, 365, 598, 410], \"label\": \"potato\"},\n {\"box_2d\": [623, 369, 713, 404], \"label\": \"potato\"},\n {\"box_2d\": [717, 369, 804, 404], \"label\": \"potato\"},\n {\"box_2d\": [809, 375, 883, 401], \"label\": \"potato\"},\n {\"box_2d\": [613, 416, 689, 450], \"label\": \"potato\"},\n {\"box_2d\": [598, 456, 734, 497], \"label\": \"potato\"},\n {\"box_2d\": [734, 449, 840, 493], \"label\": \"potato\"},\n {\"box_2d\": [932, 458, 998, 488], \"label\": \"potato\"},\n {\"box_2d\": [826, 495, 951, 545], \"label\": \"potato\"},\n {\"box_2d\": [832, 545, 919, 578], \"label\": \"potato\"},\n {\"box_2d\": [919, 550, 972, 574], \"label\": \"potato\"},\n {\"box_2d\": [9, 515, 66, 537], \"label\": \"potato\"},\n {\"box_2d\": [4, 558, 87, 588], \"label\": \"potato\"},\n {\"box_2d\": [4, 601, 83, 631], \"label\": \"potato\"},\n {\"box_2d\": [28, 631, 149, 678], \"label\": \"potato\"},\n {\"box_2d\": [160, 589, 285, 646], \"label\": \"potato\"},\n {\"box_2d\": [402, 551, 498, 583], \"label\": \"potato\"},\n {\"box_2d\": [511, 592, 640, 638], \"label\": \"potato\"},\n {\"box_2d\": [453, 637, 551, 674], \"label\": \"potato\"},\n {\"box_2d\": [704, 595, 774, 624], \"label\": \"potato\"},\n {\"box_2d\": [932, 722, 994, 749], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 2027, "elapsed_seconds": 74.7534138339106, "metadata": {"match_method": "map", "num_predictions": 60, "num_ground_truth": 60, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 75.4881}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 217, "image": "signatures_image_15_png_jpg.rf.6b815d82f5451daedc9c9077d66f9599.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [243, 76, 289, 399], \"label\": \"signature\"},\n {\"box_2d\": [229, 469, 278, 825], \"label\": \"signature\"},\n {\"box_2d\": [354, 72, 494, 430], \"label\": \"signature\"},\n {\"box_2d\": [414, 512, 479, 750], \"label\": \"signature\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 146, "elapsed_seconds": 14.757619166979566, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 14.875}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 218, "image": "lot222_JPEG_jpg.rf.50df16e1f4326083fe341ec20a62dbe4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [770, 610, 807, 631], \"label\": \"chicory seed\"},\n {\"box_2d\": [749, 597, 782, 625], \"label\": \"chicory seed\"},\n {\"box_2d\": [721, 583, 753, 624], \"label\": \"chicory seed\"},\n {\"box_2d\": [712, 563, 751, 598], \"label\": \"chicory seed\"},\n {\"box_2d\": [741, 539, 777, 560], \"label\": \"chicory seed\"},\n {\"box_2d\": [785, 519, 811, 560], \"label\": \"chicory seed\"},\n {\"box_2d\": [815, 536, 833, 581], \"label\": \"chicory seed\"},\n {\"box_2d\": [791, 488, 829, 515], \"label\": \"chicory seed\"},\n {\"box_2d\": [770, 459, 811, 484], \"label\": \"chicory seed\"},\n {\"box_2d\": [777, 444, 816, 461], \"label\": \"chicory seed\"},\n {\"box_2d\": [761, 484, 785, 524], \"label\": \"chicory seed\"},\n {\"box_2d\": [742, 488, 761, 527], \"label\": \"chicory seed\"},\n {\"box_2d\": [748, 449, 773, 489], \"label\": \"chicory seed\"},\n {\"box_2d\": [776, 405, 817, 427], \"label\": \"chicory seed\"},\n {\"box_2d\": [796, 362, 814, 400], \"label\": \"chicory seed\"},\n {\"box_2d\": [813, 359, 837, 400], \"label\": \"chicory seed\"},\n {\"box_2d\": [735, 389, 774, 408], \"label\": \"chicory seed\"},\n {\"box_2d\": [764, 361, 786, 401], \"label\": \"chicory seed\"},\n {\"box_2d\": [726, 336, 745, 374], \"label\": \"chicory seed\"},\n {\"box_2d\": [769, 316, 807, 349], \"label\": \"chicory seed\"},\n {\"box_2d\": [763, 289, 781, 332], \"label\": \"chicory seed\"},\n {\"box_2d\": [708, 317, 747, 339], \"label\": \"chicory seed\"},\n {\"box_2d\": [723, 289, 764, 314], \"label\": \"chicory seed\"},\n {\"box_2d\": [740, 253, 769, 291], \"label\": \"chicory seed\"},\n {\"box_2d\": [702, 273, 741, 297], \"label\": \"chicory seed\"},\n {\"box_2d\": [685, 291, 709, 329], \"label\": \"chicory seed\"},\n {\"box_2d\": [694, 234, 728, 270], \"label\": \"chicory seed\"},\n {\"box_2d\": [641, 217, 684, 240], \"label\": \"chicory seed\"},\n {\"box_2d\": [719, 415, 740, 453], \"label\": \"chicory seed\"},\n {\"box_2d\": [711, 463, 749, 491], \"label\": \"chicory seed\"},\n {\"box_2d\": [718, 491, 743, 530], \"label\": \"chicory seed\"},\n {\"box_2d\": [700, 514, 740, 544], \"label\": \"chicory seed\"},\n {\"box_2d\": [680, 494, 719, 517], \"label\": \"chicory seed\"},\n {\"box_2d\": [670, 453, 703, 490], \"label\": \"chicory seed\"},\n {\"box_2d\": [661, 427, 699, 452], \"label\": \"chicory seed\"},\n {\"box_2d\": [651, 409, 693, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [654, 386, 695, 408], \"label\": \"chicory seed\"},\n {\"box_2d\": [667, 353, 702, 385], \"label\": \"chicory seed\"},\n {\"box_2d\": [649, 340, 681, 377], \"label\": \"chicory seed\"},\n {\"box_2d\": [639, 316, 675, 352], \"label\": \"chicory seed\"},\n {\"box_2d\": [617, 297, 657, 319], \"label\": \"chicory seed\"},\n {\"box_2d\": [609, 259, 639, 293], \"label\": \"chicory seed\"},\n {\"box_2d\": [578, 257, 603, 293], \"label\": \"chicory seed\"},\n {\"box_2d\": [562, 212, 588, 250], \"label\": \"chicory seed\"},\n {\"box_2d\": [529, 173, 559, 211], \"label\": \"chicory seed\"},\n {\"box_2d\": [477, 163, 516, 181], \"label\": \"chicory seed\"},\n {\"box_2d\": [629, 378, 670, 405], \"label\": \"chicory seed\"},\n {\"box_2d\": [612, 369, 652, 391], \"label\": \"chicory seed\"},\n {\"box_2d\": [602, 310, 638, 346], \"label\": \"chicory seed\"},\n {\"box_2d\": [592, 352, 633, 372], \"label\": \"chicory seed\"},\n {\"box_2d\": [591, 311, 610, 352], \"label\": \"chicory seed\"},\n {\"box_2d\": [576, 320, 591, 363], \"label\": \"chicory seed\"},\n {\"box_2d\": [554, 286, 593, 313], \"label\": \"chicory seed\"},\n {\"box_2d\": [535, 247, 567, 287], \"label\": \"chicory seed\"},\n {\"box_2d\": [509, 265, 541, 302], \"label\": \"chicory seed\"},\n {\"box_2d\": [528, 303, 567, 324], \"label\": \"chicory seed\"},\n {\"box_2d\": [531, 320, 572, 351], \"label\": \"chicory seed\"},\n {\"box_2d\": [512, 329, 550, 355], \"label\": \"chicory seed\"},\n {\"box_2d\": [513, 342, 550, 376], \"label\": \"chicory seed\"},\n {\"box_2d\": [545, 349, 579, 372], \"label\": \"chicory seed\"},\n {\"box_2d\": [546, 367, 563, 406], \"label\": \"chicory seed\"},\n {\"box_2d\": [510, 367, 544, 404], \"label\": \"chicory seed\"},\n {\"box_2d\": [501, 274, 520, 313], \"label\": \"chicory seed\"},\n {\"box_2d\": [512, 229, 540, 265], \"label\": \"chicory seed\"},\n {\"box_2d\": [489, 229, 515, 265], \"label\": \"chicory seed\"},\n {\"box_2d\": [465, 196, 488, 234], \"label\": \"chicory seed\"},\n {\"box_2d\": [454, 235, 492, 264], \"label\": \"chicory seed\"},\n {\"box_2d\": [453, 265, 495, 286], \"label\": \"chicory seed\"},\n {\"box_2d\": [445, 189, 476, 226], \"label\": \"chicory seed\"},\n {\"box_2d\": [429, 174, 449, 209], \"label\": \"chicory seed\"},\n {\"box_2d\": [411, 170, 431, 214], \"label\": \"chicory seed\"},\n {\"box_2d\": [433, 229, 463, 267], \"label\": \"chicory seed\"},\n {\"box_2d\": [413, 217, 442, 259], \"label\": \"chicory seed\"},\n {\"box_2d\": [396, 218, 425, 254], \"label\": \"chicory seed\"},\n {\"box_2d\": [399, 254, 436, 288], \"label\": \"chicory seed\"},\n {\"box_2d\": [431, 283, 460, 323], \"label\": \"chicory seed\"},\n {\"box_2d\": [451, 299, 482, 336], \"label\": \"chicory seed\"},\n {\"box_2d\": [469, 300, 502, 338], \"label\": \"chicory seed\"},\n {\"box_2d\": [482, 317, 509, 357], \"label\": \"chicory seed\"},\n {\"box_2d\": [490, 364, 507, 405], \"label\": \"chicory seed\"},\n {\"box_2d\": [472, 365, 490, 406], \"label\": \"chicory seed\"},\n {\"box_2d\": [504, 393, 528, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [525, 403, 543, 444], \"label\": \"chicory seed\"},\n {\"box_2d\": [498, 425, 530, 461], \"label\": \"chicory seed\"},\n {\"box_2d\": [468, 406, 504, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [426, 366, 463, 386], \"label\": \"chicory seed\"},\n {\"box_2d\": [414, 338, 448, 375], \"label\": \"chicory seed\"},\n {\"box_2d\": [400, 308, 430, 344], \"label\": \"chicory seed\"},\n {\"box_2d\": [395, 291, 432, 321], \"label\": \"chicory seed\"},\n {\"box_2d\": [374, 275, 410, 310], \"label\": \"chicory seed\"},\n {\"box_2d\": [357, 267, 394, 300], \"label\": \"chicory seed\"},\n {\"box_2d\": [355, 299, 382, 338], \"label\": \"chicory seed\"},\n {\"box_2d\": [345, 245, 376, 286], \"label\": \"chicory seed\"},\n {\"box_2d\": [332, 215, 353, 257], \"label\": \"chicory seed\"},\n {\"box_2d\": [313, 210, 337, 250], \"label\": \"chicory seed\"},\n {\"box_2d\": [329, 284, 354, 321], \"label\": \"chicory seed\"},\n {\"box_2d\": [323, 313, 358, 343], \"label\": \"chicory seed\"},\n {\"box_2d\": [306, 259, 329, 299], \"label\": \"chicory seed\"},\n {\"box_2d\": [294, 304, 327, 343], \"label\": \"chicory seed\"},\n {\"box_2d\": [278, 280, 303, 318], \"label\": \"chicory seed\"},\n {\"box_2d\": [270, 244, 308, 278], \"label\": \"chicory seed\"},\n {\"box_2d\": [246, 279, 283, 307], \"label\": \"chicory seed\"},\n {\"box_2d\": [241, 306, 268, 347], \"label\": \"chicory seed\"},\n {\"box_2d\": [264, 329, 302, 356], \"label\": \"chicory seed\"},\n {\"box_2d\": [261, 356, 307, 383], \"label\": \"chicory seed\"},\n {\"box_2d\": [209, 341, 227, 381], \"label\": \"chicory seed\"},\n {\"box_2d\": [230, 371, 248, 412], \"label\": \"chicory seed\"},\n {\"box_2d\": [248, 374, 266, 415], \"label\": \"chicory seed\"},\n {\"box_2d\": [267, 397, 308, 421], \"label\": \"chicory seed\"},\n {\"box_2d\": [313, 357, 333, 399], \"label\": \"chicory seed\"},\n {\"box_2d\": [310, 395, 338, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [345, 343, 385, 371], \"label\": \"chicory seed\"},\n {\"box_2d\": [347, 364, 382, 397], \"label\": \"chicory seed\"},\n {\"box_2d\": [381, 366, 416, 396], \"label\": \"chicory seed\"},\n {\"box_2d\": [373, 379, 394, 419], \"label\": \"chicory seed\"},\n {\"box_2d\": [390, 405, 415, 444], \"label\": \"chicory seed\"},\n {\"box_2d\": [416, 394, 454, 418], \"label\": \"chicory seed\"},\n {\"box_2d\": [407, 418, 445, 446], \"label\": \"chicory seed\"},\n {\"box_2d\": [408, 436, 446, 467], \"label\": \"chicory seed\"},\n {\"box_2d\": [444, 425, 476, 459], \"label\": \"chicory seed\"},\n {\"box_2d\": [471, 443, 497, 480], \"label\": \"chicory seed\"},\n {\"box_2d\": [489, 463, 530, 489], \"label\": \"chicory seed\"},\n {\"box_2d\": [491, 484, 529, 505], \"label\": \"chicory seed\"},\n {\"box_2d\": [546, 428, 567, 473], \"label\": \"chicory seed\"},\n {\"box_2d\": [556, 405, 591, 444], \"label\": \"chicory seed\"},\n {\"box_2d\": [568, 371, 591, 411], \"label\": \"chicory seed\"},\n {\"box_2d\": [581, 365, 615, 404], \"label\": \"chicory seed\"},\n {\"box_2d\": [586, 406, 614, 443], \"label\": \"chicory seed\"},\n {\"box_2d\": [607, 393, 628, 432], \"label\": \"chicory seed\"},\n {\"box_2d\": [616, 410, 646, 449], \"label\": \"chicory seed\"},\n {\"box_2d\": [628, 436, 661, 474], \"label\": \"chicory seed\"},\n {\"box_2d\": [625, 459, 664, 489], \"label\": \"chicory seed\"},\n {\"box_2d\": [635, 478, 676, 501], \"label\": \"chicory seed\"},\n {\"box_2d\": [643, 498, 682, 520], \"label\": \"chicory seed\"},\n {\"box_2d\": [602, 453, 629, 493], \"label\": \"chicory seed\"},\n {\"box_2d\": [579, 444, 616, 468], \"label\": \"chicory seed\"},\n {\"box_2d\": [558, 466, 601, 492], \"label\": \"chicory seed\"},\n {\"box_2d\": [545, 477, 583, 503], \"label\": \"chicory seed\"},\n {\"box_2d\": [532, 500, 576, 522], \"label\": \"chicory seed\"},\n {\"box_2d\": [578, 496, 598, 540], \"label\": \"chicory seed\"},\n {\"box_2d\": [595, 488, 615, 523], \"label\": \"chicory seed\"},\n {\"box_2d\": [615, 489, 646, 526], \"label\": \"chicory seed\"},\n {\"box_2d\": [654, 514, 691, 547], \"label\": \"chicory seed\"},\n {\"box_2d\": [690, 543, 710, 588], \"label\": \"chicory seed\"},\n {\"box_2d\": [667, 562, 690, 602], \"label\": \"chicory seed\"},\n {\"box_2d\": [646, 574, 678, 610], \"label\": \"chicory seed\"},\n {\"box_2d\": [633, 546, 662, 584], \"label\": \"chicory seed\"},\n {\"box_2d\": [617, 526, 646, 567], \"label\": \"chicory seed\"},\n {\"box_2d\": [594, 526, 622, 566], \"label\": \"chicory seed\"},\n {\"box_2d\": [553, 526, 592, 559], \"label\": \"chicory seed\"},\n {\"box_2d\": [537, 536, 571, 573], \"label\": \"chicory seed\"},\n {\"box_2d\": [519, 544, 553, 583], \"label\": \"chicory seed\"},\n {\"box_2d\": [515, 501, 532, 540], \"label\": \"chicory seed\"},\n {\"box_2d\": [501, 536, 523, 579], \"label\": \"chicory seed\"},\n {\"box_2d\": [468, 514, 514, 536], \"label\": \"chicory seed\"},\n {\"box_2d\": [434, 479, 453, 521], \"label\": \"chicory seed\"},\n {\"box_2d\": [456, 463, 474, 504], \"label\": \"chicory seed\"},\n {\"box_2d\": [441, 499, 482, 528], \"label\": \"chicory seed\"},\n {\"box_2d\": [433, 521, 470, 555], \"label\": \"chicory seed\"},\n {\"box_2d\": [393, 532, 434, 557], \"label\": \"chicory seed\"},\n {\"box_2d\": [375, 471, 405, 508], \"label\": \"chicory seed\"},\n {\"box_2d\": [349, 424, 384, 459], \"label\": \"chicory seed\"},\n {\"box_2d\": [320, 444, 360, 466], \"label\": \"chicory seed\"},\n {\"box_2d\": [320, 466, 361, 493], \"label\": \"chicory seed\"},\n {\"box_2d\": [338, 491, 378, 512], \"label\": \"chicory seed\"},\n {\"box_2d\": [326, 498, 346, 543], \"label\": \"chicory seed\"},\n {\"box_2d\": [338, 539, 369, 582], \"label\": \"chicory seed\"},\n {\"box_2d\": [318, 534, 338, 577], \"label\": \"chicory seed\"},\n {\"box_2d\": [303, 497, 323, 540], \"label\": \"chicory seed\"},\n {\"box_2d\": [295, 443, 320, 483], \"label\": \"chicory seed\"},\n {\"box_2d\": [275, 439, 300, 480], \"label\": \"chicory seed\"},\n {\"box_2d\": [246, 427, 287, 456], \"label\": \"chicory seed\"},\n {\"box_2d\": [202, 408, 234, 445], \"label\": \"chicory seed\"},\n {\"box_2d\": [182, 404, 208, 442], \"label\": \"chicory seed\"},\n {\"box_2d\": [193, 444, 229, 464], \"label\": \"chicory seed\"},\n {\"box_2d\": [200, 470, 241, 489], \"label\": \"chicory seed\"},\n {\"box_2d\": [171, 461, 198, 499], \"label\": \"chicory seed\"},\n {\"box_2d\": [168, 502, 187, 543], \"label\": \"chicory seed\"},\n {\"box_2d\": [190, 489, 208, 532], \"label\": \"chicory seed\"},\n {\"box_2d\": [242, 466, 279, 495], \"label\": \"chicory seed\"},\n {\"box_2d\": [231, 489, 263, 526], \"label\": \"chicory seed\"},\n {\"box_2d\": [243, 503, 274, 541], \"label\": \"chicory seed\"},\n {\"box_2d\": [273, 487, 291, 527], \"label\": \"chicory seed\"},\n {\"box_2d\": [282, 513, 305, 551], \"label\": \"chicory seed\"},\n {\"box_2d\": [279, 544, 315, 577], \"label\": \"chicory seed\"},\n {\"box_2d\": [252, 535, 279, 578], \"label\": \"chicory seed\"},\n {\"box_2d\": [218, 533, 253, 567], \"label\": \"chicory seed\"},\n {\"box_2d\": [181, 543, 209, 581], \"label\": \"chicory seed\"},\n {\"box_2d\": [170, 549, 196, 591], \"label\": \"chicory seed\"},\n {\"box_2d\": [192, 571, 226, 605], \"label\": \"chicory seed\"},\n {\"box_2d\": [189, 606, 220, 643], \"label\": \"chicory seed\"},\n {\"box_2d\": [225, 591, 263, 615], \"label\": \"chicory seed\"},\n {\"box_2d\": [264, 578, 285, 621], \"label\": \"chicory seed\"},\n {\"box_2d\": [298, 613, 338, 639], \"label\": \"chicory seed\"},\n {\"box_2d\": [337, 616, 369, 649], \"label\": \"chicory seed\"},\n {\"box_2d\": [374, 615, 399, 657], \"label\": \"chicory seed\"},\n {\"box_2d\": [264, 634, 289, 675], \"label\": \"chicory seed\"},\n {\"box_2d\": [249, 649, 271, 688], \"label\": \"chicory seed\"},\n {\"box_2d\": [225, 640, 249, 684], \"label\": \"chicory seed\"},\n {\"box_2d\": [200, 656, 235, 691], \"label\": \"chicory seed\"},\n {\"box_2d\": [219, 695, 251, 731], \"label\": \"chicory seed\"},\n {\"box_2d\": [250, 695, 270, 735], \"label\": \"chicory seed\"},\n {\"box_2d\": [273, 679, 311, 699], \"label\": \"chicory seed\"},\n {\"box_2d\": [268, 702, 307, 722], \"label\": \"chicory seed\"},\n {\"box_2d\": [283, 719, 320, 748], \"label\": \"chicory seed\"},\n {\"box_2d\": [250, 733, 290, 755], \"label\": \"chicory seed\"},\n {\"box_2d\": [258, 758, 297, 788], \"label\": \"chicory seed\"},\n {\"box_2d\": [289, 745, 321, 777], \"label\": \"chicory seed\"},\n {\"box_2d\": [313, 697, 347, 736], \"label\": \"chicory seed\"},\n {\"box_2d\": [326, 719, 357, 752], \"label\": \"chicory seed\"},\n {\"box_2d\": [316, 755, 338, 796], \"label\": \"chicory seed\"},\n {\"box_2d\": [333, 795, 358, 835], \"label\": \"chicory seed\"},\n {\"box_2d\": [363, 801, 403, 823], \"label\": \"chicory seed\"},\n {\"box_2d\": [354, 819, 391, 853], \"label\": \"chicory seed\"},\n {\"box_2d\": [363, 730, 385, 772], \"label\": \"chicory seed\"},\n {\"box_2d\": [362, 700, 398, 735], \"label\": \"chicory seed\"},\n {\"box_2d\": [365, 679, 404, 709], \"label\": \"chicory seed\"},\n {\"box_2d\": [399, 655, 420, 696], \"label\": \"chicory seed\"},\n {\"box_2d\": [411, 611, 437, 654], \"label\": \"chicory seed\"},\n {\"box_2d\": [426, 595, 464, 621], \"label\": \"chicory seed\"},\n {\"box_2d\": [411, 576, 449, 594], \"label\": \"chicory seed\"},\n {\"box_2d\": [413, 557, 452, 578], \"label\": \"chicory seed\"},\n {\"box_2d\": [448, 535, 489, 567], \"label\": \"chicory seed\"},\n {\"box_2d\": [454, 557, 493, 586], \"label\": \"chicory seed\"},\n {\"box_2d\": [468, 564, 509, 603], \"label\": \"chicory seed\"},\n {\"box_2d\": [476, 593, 507, 635], \"label\": \"chicory seed\"},\n {\"box_2d\": [508, 579, 549, 602], \"label\": \"chicory seed\"},\n {\"box_2d\": [506, 603, 545, 624], \"label\": \"chicory seed\"},\n {\"box_2d\": [546, 575, 574, 616], \"label\": \"chicory seed\"},\n {\"box_2d\": [572, 559, 608, 590], \"label\": \"chicory seed\"},\n {\"box_2d\": [568, 581, 589, 624], \"label\": \"chicory seed\"},\n {\"box_2d\": [590, 591, 624, 629], \"label\": \"chicory seed\"},\n {\"box_2d\": [623, 592, 643, 634], \"label\": \"chicory seed\"},\n {\"box_2d\": [641, 611, 670, 650], \"label\": \"chicory seed\"},\n {\"box_2d\": [682, 610, 722, 641], \"label\": \"chicory seed\"},\n {\"box_2d\": [672, 642, 706, 681], \"label\": \"chicory seed\"},\n {\"box_2d\": [649, 636, 675, 674], \"label\": \"chicory seed\"},\n {\"box_2d\": [619, 663, 662, 685], \"label\": \"chicory seed\"},\n {\"box_2d\": [602, 644, 642, 664], \"label\": \"chicory seed\"},\n {\"box_2d\": [588, 620, 618, 658], \"label\": \"chicory seed\"},\n {\"box_2d\": [564, 625, 589, 666], \"label\": \"chicory seed\"},\n {\"box_2d\": [529, 623, 549, 664], \"label\": \"chicory seed\"},\n {\"box_2d\": [447, 639, 487, 660], \"label\": \"chicory seed\"},\n {\"box_2d\": [425, 651, 464, 677], \"label\": \"chicory seed\"},\n {\"box_2d\": [427, 681, 462, 711], \"label\": \"chicory seed\"},\n {\"box_2d\": [414, 688, 444, 722], \"label\": \"chicory seed\"},\n {\"box_2d\": [407, 721, 427, 763], \"label\": \"chicory seed\"},\n {\"box_2d\": [396, 767, 430, 804], \"label\": \"chicory seed\"},\n {\"box_2d\": [421, 751, 444, 792], \"label\": \"chicory seed\"},\n {\"box_2d\": [432, 744, 461, 783], \"label\": \"chicory seed\"},\n {\"box_2d\": [415, 831, 452, 864], \"label\": \"chicory seed\"},\n {\"box_2d\": [446, 858, 484, 882], \"label\": \"chicory seed\"},\n {\"box_2d\": [513, 858, 554, 877], \"label\": \"chicory seed\"},\n {\"box_2d\": [573, 845, 612, 867], \"label\": \"chicory seed\"},\n {\"box_2d\": [468, 798, 492, 840], \"label\": \"chicory seed\"},\n {\"box_2d\": [485, 797, 511, 839], \"label\": \"chicory seed\"},\n {\"box_2d\": [494, 765, 523, 803], \"label\": \"chicory seed\"},\n {\"box_2d\": [464, 756, 504, 781], \"label\": \"chicory seed\"},\n {\"box_2d\": [463, 724, 483, 762], \"label\": \"chicory seed\"},\n {\"box_2d\": [481, 715, 502, 756], \"label\": \"chicory seed\"},\n {\"box_2d\": [462, 677, 484, 718], \"label\": \"chicory seed\"},\n {\"box_2d\": [487, 659, 526, 683], \"label\": \"chicory seed\"},\n {\"box_2d\": [496, 683, 525, 720], \"label\": \"chicory seed\"},\n {\"box_2d\": [504, 727, 529, 768], \"label\": \"chicory seed\"},\n {\"box_2d\": [517, 720, 551, 759], \"label\": \"chicory seed\"},\n {\"box_2d\": [526, 706, 565, 738], \"label\": \"chicory seed\"},\n {\"box_2d\": [527, 666, 556, 706], \"label\": \"chicory seed\"},\n {\"box_2d\": [549, 670, 574, 712], \"label\": \"chicory seed\"},\n {\"box_2d\": [581, 661, 619, 683], \"label\": \"chicory seed\"},\n {\"box_2d\": [586, 678, 626, 708], \"label\": \"chicory seed\"},\n {\"box_2d\": [575, 687, 613, 720], \"label\": \"chicory seed\"},\n {\"box_2d\": [566, 712, 609, 735], \"label\": \"chicory seed\"},\n {\"box_2d\": [568, 735, 608, 758], \"label\": \"chicory seed\"},\n {\"box_2d\": [512, 792, 531, 835], \"label\": \"chicory seed\"},\n {\"box_2d\": [531, 763, 552, 804], \"label\": \"chicory seed\"},\n {\"box_2d\": [535, 811, 565, 849], \"label\": \"chicory seed\"},\n {\"box_2d\": [552, 783, 585, 821], \"label\": \"chicory seed\"},\n {\"box_2d\": [567, 757, 592, 797], \"label\": \"chicory seed\"},\n {\"box_2d\": [589, 760, 618, 800], \"label\": \"chicory seed\"},\n {\"box_2d\": [592, 802, 624, 841], \"label\": \"chicory seed\"},\n {\"box_2d\": [633, 793, 654, 836], \"label\": \"chicory seed\"},\n {\"box_2d\": [614, 759, 634, 799], \"label\": \"chicory seed\"},\n {\"box_2d\": [609, 712, 630, 755], \"label\": \"chicory seed\"},\n {\"box_2d\": [627, 718, 646, 760], \"label\": \"chicory seed\"},\n {\"box_2d\": [645, 714, 665, 758], \"label\": \"chicory seed\"},\n {\"box_2d\": [637, 762, 670, 798], \"label\": \"chicory seed\"},\n {\"box_2d\": [661, 720, 691, 760], \"label\": \"chicory seed\"},\n {\"box_2d\": [639, 678, 681, 701], \"label\": \"chicory seed\"},\n {\"box_2d\": [680, 700, 703, 742], \"label\": \"chicory seed\"},\n {\"box_2d\": [696, 681, 715, 722], \"label\": \"chicory seed\"},\n {\"box_2d\": [700, 718, 728, 758], \"label\": \"chicory seed\"},\n {\"box_2d\": [680, 789, 719, 816], \"label\": \"chicory seed\"},\n {\"box_2d\": [723, 735, 768, 755], \"label\": \"chicory seed\"},\n {\"box_2d\": [737, 693, 756, 737], \"label\": \"chicory seed\"},\n {\"box_2d\": [725, 664, 744, 705], \"label\": \"chicory seed\"},\n {\"box_2d\": [746, 646, 770, 685], \"label\": \"chicory seed\"},\n {\"box_2d\": [759, 634, 795, 667], \"label\": \"chicory seed\"},\n {\"box_2d\": [779, 674, 800, 713], \"label\": \"chicory seed\"},\n {\"box_2d\": [795, 657, 818, 699], \"label\": \"chicory seed\"},\n {\"box_2d\": [796, 638, 833, 659], \"label\": \"chicory seed\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 10812, "elapsed_seconds": 78.78938387497328, "metadata": {"match_method": "map", "num_predictions": 300, "num_ground_truth": 299, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3366336524486542, "attempts": 1, "retries": 0, "total_seconds": 78.9285}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 219, "image": "66_png.rf.39bf6d177f61078e6d35cc7449f636fc.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [32, 260, 93, 309], \"label\": \"not gate symbol\"},\n {\"box_2d\": [155, 253, 236, 331], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [175, 568, 255, 646], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [250, 110, 321, 152], \"label\": \"not gate symbol\"},\n {\"box_2d\": [250, 162, 321, 204], \"label\": \"not gate symbol\"},\n {\"box_2d\": [325, 253, 408, 331], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [411, 504, 483, 545], \"label\": \"not gate symbol\"},\n {\"box_2d\": [478, 568, 559, 646], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [659, 260, 720, 309], \"label\": \"not gate symbol\"},\n {\"box_2d\": [631, 568, 712, 646], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [554, 778, 635, 856], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [782, 568, 862, 646], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [801, 778, 881, 856], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [905, 260, 966, 309], \"label\": \"not gate symbol\"}\n]\n```", "correct": true, "input_tokens": 1222, "output_tokens": 514, "elapsed_seconds": 6.045298999990337, "metadata": {"match_method": "map", "num_predictions": 14, "num_ground_truth": 14, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 6.0555}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 220, "image": "car-part-detection_Car-damages-1497_png_jpg.rf.e852cda680508c1a167266952897c9ec.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [540, 81, 756, 179], \"label\": \"back bumper\"},\n {\"box_2d\": [425, 96, 543, 165], \"label\": \"tail light\"},\n {\"box_2d\": [264, 117, 408, 204], \"label\": \"back windshield\"},\n {\"box_2d\": [254, 249, 421, 471], \"label\": \"back window\"},\n {\"box_2d\": [252, 505, 463, 738], \"label\": \"front window\"},\n {\"box_2d\": [400, 739, 459, 765], \"label\": \"mirror\"},\n {\"box_2d\": [244, 485, 728, 783], \"label\": \"front door\"},\n {\"box_2d\": [244, 231, 732, 503], \"label\": \"back door\"},\n {\"box_2d\": [391, 822, 461, 938], \"label\": \"hood\"},\n {\"box_2d\": [451, 898, 540, 976], \"label\": \"headlight\"},\n {\"box_2d\": [527, 936, 744, 991], \"label\": \"front bumper\"},\n {\"box_2d\": [250, 622, 422, 853], \"label\": \"windshield\"}\n]\n```", "correct": true, "input_tokens": 1232, "output_tokens": 428, "elapsed_seconds": 9.625379916047677, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 14, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8754124641418457, "attempts": 1, "retries": 0, "total_seconds": 9.6491}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 221, "image": "51_jpg.rf.058febb668fb3dcd1ddaf96ac46d336e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [584, 646, 756, 887], \"label\": \"blood sample tube\"},\n {\"box_2d\": [485, 612, 670, 850], \"label\": \"blood sample tube\"},\n {\"box_2d\": [278, 653, 568, 810], \"label\": \"blood sample tube\"},\n {\"box_2d\": [381, 471, 656, 642], \"label\": \"blood sample tube\"},\n {\"box_2d\": [525, 326, 634, 565], \"label\": \"blood sample tube\"},\n {\"box_2d\": [582, 331, 695, 571], \"label\": \"blood sample tube\"},\n {\"box_2d\": [654, 198, 759, 442], \"label\": \"blood sample tube\"},\n {\"box_2d\": [687, 412, 754, 657], \"label\": \"blood sample tube\"},\n {\"box_2d\": [351, 196, 635, 339], \"label\": \"blood sample tube\"},\n {\"box_2d\": [270, 279, 570, 404], \"label\": \"blood sample tube\"},\n {\"box_2d\": [150, 232, 396, 428], \"label\": \"blood sample tube\"},\n {\"box_2d\": [62, 193, 384, 242], \"label\": \"blood sample tube\"},\n {\"box_2d\": [46, 281, 162, 518], \"label\": \"blood sample tube\"},\n {\"box_2d\": [40, 467, 104, 710], \"label\": \"blood sample tube\"},\n {\"box_2d\": [37, 710, 96, 954], \"label\": \"blood sample tube\"},\n {\"box_2d\": [89, 662, 154, 912], \"label\": \"blood sample tube\"},\n {\"box_2d\": [104, 521, 226, 760], \"label\": \"blood sample tube\"},\n {\"box_2d\": [168, 570, 300, 810], \"label\": \"blood sample tube\"},\n {\"box_2d\": [168, 431, 318, 660], \"label\": \"blood sample tube\"},\n {\"box_2d\": [117, 774, 378, 954], \"label\": \"blood sample tube\"},\n {\"box_2d\": [179, 859, 495, 967], \"label\": \"blood sample tube\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 762, "elapsed_seconds": 8.31944254192058, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 21, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 8.3499}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 222, "image": "161056d_JPG_jpg.rf.9a7d680b73d40b7f57e4788c75d35faa.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [266, 395, 349, 530], \"label\": \"cracked insulator\"},\n {\"box_2d\": [468, 393, 560, 519], \"label\": \"cracked insulator\"}\n]\n```", "correct": false, "input_tokens": 1217, "output_tokens": 84, "elapsed_seconds": 56.647775499965064, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5049505233764648, "attempts": 1, "retries": 0, "total_seconds": 57.5284}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 223, "image": "signatures_image_176_png_jpg.rf.ba5b095c7ba79857b44be19e553b8621.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [529, 183, 612, 260], \"label\": \"signature\"},\n {\"box_2d\": [551, 656, 586, 717], \"label\": \"signature\"},\n {\"box_2d\": [592, 806, 634, 896], \"label\": \"signature\"},\n {\"box_2d\": [562, 452, 598, 487], \"label\": \"signature\"}\n]\n```", "correct": true, "input_tokens": 1228, "output_tokens": 148, "elapsed_seconds": 44.57624608289916, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.801980197429657, "attempts": 1, "retries": 0, "total_seconds": 44.8544}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 224, "image": "floorplan-windows-doors_10363_png.rf.022a393bcce41347db46c0ae8f821ac1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [729, 349, 801, 419], \"label\": \"door\"},\n {\"box_2d\": [639, 369, 699, 439], \"label\": \"door\"},\n {\"box_2d\": [602, 315, 646, 359], \"label\": \"door\"},\n {\"box_2d\": [600, 694, 672, 712], \"label\": \"window\"},\n {\"box_2d\": [485, 694, 535, 712], \"label\": \"window\"},\n {\"box_2d\": [459, 77, 588, 96], \"label\": \"window\"},\n {\"box_2d\": [537, 636, 589, 759], \"label\": \"door\"},\n {\"box_2d\": [283, 686, 317, 709], \"label\": \"window\"},\n {\"box_2d\": [171, 637, 220, 761], \"label\": \"door\"},\n {\"box_2d\": [129, 692, 165, 710], \"label\": \"window\"},\n {\"box_2d\": [259, 528, 302, 577], \"label\": \"door\"},\n {\"box_2d\": [248, 387, 293, 439], \"label\": \"door\"},\n {\"box_2d\": [205, 313, 240, 355], \"label\": \"door\"},\n {\"box_2d\": [175, 246, 226, 304], \"label\": \"door\"},\n {\"box_2d\": [169, 444, 222, 502], \"label\": \"door\"},\n {\"box_2d\": [329, 81, 356, 100], \"label\": \"window\"},\n {\"box_2d\": [110, 80, 193, 100], \"label\": \"window\"}\n]\n```", "correct": true, "input_tokens": 1223, "output_tokens": 586, "elapsed_seconds": 8.301015250035562, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 19, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.843069314956665, "attempts": 1, "retries": 0, "total_seconds": 8.361}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 225, "image": "paper-parts_194472_30_jpg.rf.b0a602d4dcc7284ce0bac985bedfd7a6.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [93, 176, 213, 882], \"label\": \"paragraph\"},\n {\"box_2d\": [233, 176, 248, 417], \"label\": \"paragraph\"},\n {\"box_2d\": [267, 176, 353, 882], \"label\": \"paragraph\"},\n {\"box_2d\": [381, 421, 529, 700], \"label\": \"figure\"},\n {\"box_2d\": [552, 446, 567, 672], \"label\": \"figure caption\"},\n {\"box_2d\": [586, 537, 623, 683], \"label\": \"equation\"},\n {\"box_2d\": [592, 235, 606, 511], \"label\": \"paragraph\"},\n {\"box_2d\": [630, 403, 667, 655], \"label\": \"equation\"},\n {\"box_2d\": [669, 453, 684, 605], \"label\": \"equation\"},\n {\"box_2d\": [703, 456, 740, 882], \"label\": \"equation\"},\n {\"box_2d\": [748, 176, 798, 882], \"label\": \"paragraph\"},\n {\"box_2d\": [817, 514, 860, 646], \"label\": \"equation\"},\n {\"box_2d\": [826, 235, 841, 509], \"label\": \"paragraph\"},\n {\"box_2d\": [868, 391, 883, 667], \"label\": \"equation\"},\n {\"box_2d\": [886, 520, 899, 538], \"label\": \"page number\"}\n]\n```", "correct": false, "input_tokens": 1248, "output_tokens": 523, "elapsed_seconds": 7.774597499985248, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7413860559463501, "attempts": 1, "retries": 0, "total_seconds": 7.819}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 226, "image": "IMG_6641_jpeg_jpg.rf.d4a1ba083ff18ae1c9807cc69a86b03e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [568, 5, 599, 196], \"label\": \"blue poker chip\"},\n {\"box_2d\": [592, 2, 616, 195], \"label\": \"blue poker chip\"},\n {\"box_2d\": [610, 4, 634, 195], \"label\": \"blue poker chip\"},\n {\"box_2d\": [626, 2, 653, 195], \"label\": \"blue poker chip\"},\n {\"box_2d\": [644, 1, 672, 195], \"label\": \"blue poker chip\"},\n {\"box_2d\": [659, 0, 689, 195], \"label\": \"blue poker chip\"},\n {\"box_2d\": [676, 1, 706, 193], \"label\": \"blue poker chip\"},\n {\"box_2d\": [513, 198, 532, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [530, 196, 549, 376], \"label\": \"green poker chip\"},\n {\"box_2d\": [546, 196, 566, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [563, 196, 585, 376], \"label\": \"green poker chip\"},\n {\"box_2d\": [579, 196, 601, 376], \"label\": \"green poker chip\"},\n {\"box_2d\": [595, 196, 619, 376], \"label\": \"green poker chip\"},\n {\"box_2d\": [611, 196, 637, 375], \"label\": \"green poker chip\"},\n {\"box_2d\": [628, 196, 655, 376], \"label\": \"green poker chip\"},\n {\"box_2d\": [644, 195, 674, 375], \"label\": \"green poker chip\"},\n {\"box_2d\": [661, 195, 691, 375], \"label\": \"green poker chip\"},\n {\"box_2d\": [676, 195, 709, 376], \"label\": \"green poker chip\"},\n {\"box_2d\": [428, 384, 449, 558], \"label\": \"red poker chip\"},\n {\"box_2d\": [445, 384, 466, 562], \"label\": \"red poker chip\"},\n {\"box_2d\": [463, 386, 483, 562], \"label\": \"red poker chip\"},\n {\"box_2d\": [480, 386, 499, 562], \"label\": \"red poker chip\"},\n {\"box_2d\": [496, 385, 515, 563], \"label\": \"red poker chip\"},\n {\"box_2d\": [513, 384, 532, 562], \"label\": \"red poker chip\"},\n {\"box_2d\": [530, 384, 549, 563], \"label\": \"red poker chip\"},\n {\"box_2d\": [546, 384, 567, 563], \"label\": \"red poker chip\"},\n {\"box_2d\": [563, 386, 584, 564], \"label\": \"red poker chip\"},\n {\"box_2d\": [578, 386, 601, 564], \"label\": \"red poker chip\"},\n {\"box_2d\": [595, 385, 619, 564], \"label\": \"red poker chip\"},\n {\"box_2d\": [611, 386, 636, 565], \"label\": \"red poker chip\"},\n {\"box_2d\": [628, 387, 655, 565], \"label\": \"red poker chip\"},\n {\"box_2d\": [644, 386, 672, 566], \"label\": \"red poker chip\"},\n {\"box_2d\": [661, 386, 690, 566], \"label\": \"red poker chip\"},\n {\"box_2d\": [676, 386, 709, 567], \"label\": \"red poker chip\"},\n {\"box_2d\": [551, 571, 576, 758], \"label\": \"white poker chip\"},\n {\"box_2d\": [572, 571, 594, 758], \"label\": \"white poker chip\"},\n {\"box_2d\": [588, 570, 611, 759], \"label\": \"white poker chip\"},\n {\"box_2d\": [606, 572, 629, 759], \"label\": \"white poker chip\"},\n {\"box_2d\": [622, 573, 648, 760], \"label\": \"white poker chip\"},\n {\"box_2d\": [639, 574, 666, 760], \"label\": \"white poker chip\"},\n {\"box_2d\": [655, 573, 684, 761], \"label\": \"white poker chip\"},\n {\"box_2d\": [671, 573, 702, 762], \"label\": \"white poker chip\"},\n {\"box_2d\": [555, 755, 616, 958], \"label\": \"orange poker chip\"},\n {\"box_2d\": [591, 759, 634, 959], \"label\": \"orange poker chip\"},\n {\"box_2d\": [609, 759, 652, 959], \"label\": \"orange poker chip\"},\n {\"box_2d\": [626, 759, 670, 960], \"label\": \"orange poker chip\"},\n {\"box_2d\": [644, 760, 689, 962], \"label\": \"orange poker chip\"},\n {\"box_2d\": [661, 762, 707, 963], \"label\": \"orange poker chip\"},\n {\"box_2d\": [677, 762, 726, 963], \"label\": \"orange poker chip\"}\n]\n```", "correct": true, "input_tokens": 1243, "output_tokens": 1762, "elapsed_seconds": 24.13257258303929, "metadata": {"match_method": "map", "num_predictions": 49, "num_ground_truth": 49, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 24.1572}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 227, "image": "69_jpg.rf.832734e487772068d6b9bf469788de8f.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [538, 483, 745, 700], \"label\": \"blood sample tube\"},\n {\"box_2d\": [439, 495, 519, 736], \"label\": \"blood sample tube\"},\n {\"box_2d\": [19, 636, 323, 748], \"label\": \"blood sample tube\"},\n {\"box_2d\": [81, 588, 405, 634], \"label\": \"blood sample tube\"},\n {\"box_2d\": [352, 281, 411, 517], \"label\": \"blood sample tube\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 190, "elapsed_seconds": 4.445832333061844, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 4.4614}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 228, "image": "uav20221018_ixfZ_3857_431_png.rf.d4d8056faccd6284b96584515af21de0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [72, 249, 108, 281], \"label\": \"banana tree\"},\n {\"box_2d\": [27, 179, 82, 227], \"label\": \"banana tree\"},\n {\"box_2d\": [0, 239, 44, 286], \"label\": \"banana tree\"},\n {\"box_2d\": [0, 429, 53, 474], \"label\": \"banana tree\"},\n {\"box_2d\": [32, 492, 83, 534], \"label\": \"banana tree\"},\n {\"box_2d\": [70, 424, 114, 480], \"label\": \"banana tree\"},\n {\"box_2d\": [110, 494, 145, 530], \"label\": \"banana tree\"},\n {\"box_2d\": [140, 434, 182, 483], \"label\": \"banana tree\"},\n {\"box_2d\": [174, 491, 217, 540], \"label\": \"banana tree\"},\n {\"box_2d\": [208, 438, 252, 489], \"label\": \"banana tree\"},\n {\"box_2d\": [237, 490, 290, 532], \"label\": \"banana tree\"},\n {\"box_2d\": [18, 661, 61, 703], \"label\": \"banana tree\"},\n {\"box_2d\": [0, 706, 34, 756], \"label\": \"banana tree\"},\n {\"box_2d\": [46, 712, 99, 757], \"label\": \"banana tree\"},\n {\"box_2d\": [90, 657, 129, 704], \"label\": \"banana tree\"},\n {\"box_2d\": [123, 713, 166, 761], \"label\": \"banana tree\"},\n {\"box_2d\": [163, 668, 200, 700], \"label\": \"banana tree\"},\n {\"box_2d\": [191, 716, 236, 755], \"label\": \"banana tree\"},\n {\"box_2d\": [228, 670, 265, 706], \"label\": \"banana tree\"},\n {\"box_2d\": [262, 720, 303, 755], \"label\": \"banana tree\"},\n {\"box_2d\": [303, 675, 345, 709], \"label\": \"banana tree\"},\n {\"box_2d\": [332, 725, 376, 764], \"label\": \"banana tree\"},\n {\"box_2d\": [371, 671, 412, 705], \"label\": \"banana tree\"},\n {\"box_2d\": [36, 903, 74, 938], \"label\": \"banana tree\"},\n {\"box_2d\": [75, 956, 114, 992], \"label\": \"banana tree\"},\n {\"box_2d\": [108, 898, 152, 941], \"label\": \"banana tree\"},\n {\"box_2d\": [134, 954, 178, 996], \"label\": \"banana tree\"},\n {\"box_2d\": [181, 916, 214, 959], \"label\": \"banana tree\"},\n {\"box_2d\": [205, 959, 256, 999], \"label\": \"banana tree\"},\n {\"box_2d\": [250, 922, 287, 955], \"label\": \"banana tree\"},\n {\"box_2d\": [275, 969, 319, 999], \"label\": \"banana tree\"},\n {\"box_2d\": [319, 923, 359, 963], \"label\": \"banana tree\"},\n {\"box_2d\": [349, 973, 390, 999], \"label\": \"banana tree\"},\n {\"box_2d\": [387, 933, 429, 967], \"label\": \"banana tree\"},\n {\"box_2d\": [457, 936, 496, 973], \"label\": \"banana tree\"},\n {\"box_2d\": [524, 938, 560, 973], \"label\": \"banana tree\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 1249, "elapsed_seconds": 15.91738858295139, "metadata": {"match_method": "map", "num_predictions": 36, "num_ground_truth": 38, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9405940771102905, "attempts": 1, "retries": 0, "total_seconds": 16.0208}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 229, "image": "f39_jpg.rf.8a677bbf5bbbcde071dc3887db6e2b75.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 353, 376, 738], \"label\": \"wildfire\"},\n {\"box_2d\": [0, 255, 240, 560], \"label\": \"wildfire\"},\n {\"box_2d\": [0, 427, 603, 987], \"label\": \"wildfire\"},\n {\"box_2d\": [275, 650, 793, 1000], \"label\": \"wildfire\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 147, "elapsed_seconds": 17.47210241702851, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 17.6069}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 230, "image": "wood-log-detection_003_png_jpg.rf.34aeb3fc6262ec00696c0cc722964b3e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [56, 275, 92, 319], \"label\": \"log cross-section\"},\n {\"box_2d\": [86, 248, 117, 291], \"label\": \"log cross-section\"},\n {\"box_2d\": [88, 294, 122, 338], \"label\": \"log cross-section\"},\n {\"box_2d\": [84, 330, 111, 358], \"label\": \"log cross-section\"},\n {\"box_2d\": [73, 353, 102, 394], \"label\": \"log cross-section\"},\n {\"box_2d\": [52, 419, 80, 456], \"label\": \"log cross-section\"},\n {\"box_2d\": [103, 408, 128, 442], \"label\": \"log cross-section\"},\n {\"box_2d\": [103, 333, 138, 381], \"label\": \"log cross-section\"},\n {\"box_2d\": [117, 261, 148, 305], \"label\": \"log cross-section\"},\n {\"box_2d\": [109, 216, 138, 252], \"label\": \"log cross-section\"},\n {\"box_2d\": [130, 173, 159, 225], \"label\": \"log cross-section\"},\n {\"box_2d\": [138, 223, 173, 273], \"label\": \"log cross-section\"},\n {\"box_2d\": [147, 286, 177, 327], \"label\": \"log cross-section\"},\n {\"box_2d\": [134, 323, 169, 372], \"label\": \"log cross-section\"},\n {\"box_2d\": [134, 377, 167, 412], \"label\": \"log cross-section\"},\n {\"box_2d\": [144, 408, 177, 447], \"label\": \"log cross-section\"},\n {\"box_2d\": [112, 448, 141, 484], \"label\": \"log cross-section\"},\n {\"box_2d\": [138, 456, 169, 491], \"label\": \"log cross-section\"},\n {\"box_2d\": [116, 488, 147, 528], \"label\": \"log cross-section\"},\n {\"box_2d\": [139, 492, 172, 536], \"label\": \"log cross-section\"},\n {\"box_2d\": [106, 534, 138, 577], \"label\": \"log cross-section\"},\n {\"box_2d\": [134, 531, 167, 567], \"label\": \"log cross-section\"},\n {\"box_2d\": [109, 575, 145, 623], \"label\": \"log cross-section\"},\n {\"box_2d\": [83, 608, 120, 658], \"label\": \"log cross-section\"},\n {\"box_2d\": [136, 636, 169, 666], \"label\": \"log cross-section\"},\n {\"box_2d\": [125, 675, 158, 720], \"label\": \"log cross-section\"},\n {\"box_2d\": [142, 600, 178, 645], \"label\": \"log cross-section\"},\n {\"box_2d\": [166, 647, 194, 681], \"label\": \"log cross-section\"},\n {\"box_2d\": [181, 667, 206, 703], \"label\": \"log cross-section\"},\n {\"box_2d\": [198, 659, 223, 691], \"label\": \"log cross-section\"},\n {\"box_2d\": [206, 683, 239, 728], \"label\": \"log cross-section\"},\n {\"box_2d\": [242, 681, 273, 722], \"label\": \"log cross-section\"},\n {\"box_2d\": [227, 611, 261, 653], \"label\": \"log cross-section\"},\n {\"box_2d\": [259, 638, 295, 683], \"label\": \"log cross-section\"},\n {\"box_2d\": [255, 588, 289, 631], \"label\": \"log cross-section\"},\n {\"box_2d\": [247, 541, 284, 586], \"label\": \"log cross-section\"},\n {\"box_2d\": [219, 559, 245, 594], \"label\": \"log cross-section\"},\n {\"box_2d\": [186, 595, 217, 641], \"label\": \"log cross-section\"},\n {\"box_2d\": [173, 567, 205, 598], \"label\": \"log cross-section\"},\n {\"box_2d\": [181, 527, 203, 558], \"label\": \"log cross-section\"},\n {\"box_2d\": [198, 525, 228, 561], \"label\": \"log cross-section\"},\n {\"box_2d\": [188, 483, 216, 525], \"label\": \"log cross-section\"},\n {\"box_2d\": [177, 430, 203, 469], \"label\": \"log cross-section\"},\n {\"box_2d\": [181, 397, 209, 431], \"label\": \"log cross-section\"},\n {\"box_2d\": [175, 341, 202, 378], \"label\": \"log cross-section\"},\n {\"box_2d\": [161, 255, 194, 294], \"label\": \"log cross-section\"},\n {\"box_2d\": [166, 203, 200, 250], \"label\": \"log cross-section\"},\n {\"box_2d\": [166, 155, 194, 198], \"label\": \"log cross-section\"},\n {\"box_2d\": [186, 156, 219, 206], \"label\": \"log cross-section\"},\n {\"box_2d\": [198, 211, 236, 264], \"label\": \"log cross-section\"},\n {\"box_2d\": [233, 178, 259, 216], \"label\": \"log cross-section\"},\n {\"box_2d\": [197, 278, 225, 316], \"label\": \"log cross-section\"},\n {\"box_2d\": [202, 309, 241, 359], \"label\": \"log cross-section\"},\n {\"box_2d\": [198, 362, 233, 408], \"label\": \"log cross-section\"},\n {\"box_2d\": [205, 412, 231, 448], \"label\": \"log cross-section\"},\n {\"box_2d\": [222, 398, 245, 436], \"label\": \"log cross-section\"},\n {\"box_2d\": [200, 448, 233, 492], \"label\": \"log cross-section\"},\n {\"box_2d\": [230, 438, 267, 491], \"label\": \"log cross-section\"},\n {\"box_2d\": [234, 355, 269, 405], \"label\": \"log cross-section\"},\n {\"box_2d\": [230, 491, 262, 528], \"label\": \"log cross-section\"},\n {\"box_2d\": [300, 209, 331, 252], \"label\": \"log cross-section\"},\n {\"box_2d\": [291, 250, 319, 286], \"label\": \"log cross-section\"},\n {\"box_2d\": [294, 297, 323, 338], \"label\": \"log cross-section\"},\n {\"box_2d\": [308, 344, 339, 383], \"label\": \"log cross-section\"},\n {\"box_2d\": [327, 305, 350, 342], \"label\": \"log cross-section\"},\n {\"box_2d\": [330, 266, 350, 303], \"label\": \"log cross-section\"},\n {\"box_2d\": [325, 372, 348, 417], \"label\": \"log cross-section\"},\n {\"box_2d\": [300, 411, 330, 452], \"label\": \"log cross-section\"},\n {\"box_2d\": [305, 462, 333, 498], \"label\": \"log cross-section\"},\n {\"box_2d\": [302, 509, 339, 553], \"label\": \"log cross-section\"},\n {\"box_2d\": [309, 597, 338, 634], \"label\": \"log cross-section\"},\n {\"box_2d\": [302, 655, 330, 692], \"label\": \"log cross-section\"},\n {\"box_2d\": [320, 556, 344, 594], \"label\": \"log cross-section\"},\n {\"box_2d\": [331, 491, 347, 525], \"label\": \"log cross-section\"}\n]\n```", "correct": true, "input_tokens": 1228, "output_tokens": 2741, "elapsed_seconds": 29.620387292001396, "metadata": {"match_method": "map", "num_predictions": 74, "num_ground_truth": 78, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9405940771102905, "attempts": 1, "retries": 0, "total_seconds": 29.6446}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 231, "image": "basketball-player-detection_boston-celtics-new-york-knicks-game-1-q1-04-28-04-20-0185_png.rf.5bf3baa6a3ce5adfe29dab142647c8bc.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [504, 452, 795, 509], \"label\": \"player\"},\n {\"box_2d\": [295, 571, 513, 643], \"label\": \"player\"},\n {\"box_2d\": [349, 616, 608, 670], \"label\": \"player\"},\n {\"box_2d\": [254, 141, 455, 187], \"label\": \"player\"},\n {\"box_2d\": [250, 455, 458, 505], \"label\": \"player\"},\n {\"box_2d\": [179, 378, 372, 421], \"label\": \"player\"},\n {\"box_2d\": [299, 297, 504, 331], \"label\": \"player\"},\n {\"box_2d\": [376, 279, 604, 333], \"label\": \"player\"},\n {\"box_2d\": [332, 470, 360, 488], \"label\": \"basketball\"},\n {\"box_2d\": [507, 412, 865, 463], \"label\": \"player\"},\n {\"box_2d\": [507, 412, 865, 463], \"label\": \"player taking jump shot\"},\n {\"box_2d\": [343, 152, 546, 220], \"label\": \"player\"},\n {\"box_2d\": [199, 622, 267, 655], \"label\": \"basket rim\"},\n {\"box_2d\": [258, 697, 469, 738], \"label\": \"referee\"},\n {\"box_2d\": [686, 553, 987, 628], \"label\": \"referee\"},\n {\"box_2d\": [213, 0, 416, 43], \"label\": \"referee\"},\n {\"box_2d\": [788, 591, 807, 603], \"label\": \"jersey number\"},\n {\"box_2d\": [650, 433, 680, 444], \"label\": \"jersey number\"},\n {\"box_2d\": [399, 646, 421, 654], \"label\": \"jersey number\"},\n {\"box_2d\": [400, 184, 420, 192], \"label\": \"jersey number\"},\n {\"box_2d\": [235, 400, 250, 410], \"label\": \"jersey number\"},\n {\"box_2d\": [311, 156, 330, 166], \"label\": \"jersey number\"},\n {\"box_2d\": [357, 616, 376, 628], \"label\": \"jersey number\"}\n]\n```", "correct": false, "input_tokens": 1251, "output_tokens": 805, "elapsed_seconds": 29.009297291981056, "metadata": {"match_method": "map", "num_predictions": 23, "num_ground_truth": 23, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7721828818321228, "attempts": 1, "retries": 0, "total_seconds": 29.145}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 232, "image": "construction-safety_ppe_0016_jpg.rf.d53d80274c0b6fdd6cccc30b2f5316b2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [278, 745, 396, 853], \"label\": \"safety helmet\"},\n {\"box_2d\": [322, 485, 429, 575], \"label\": \"safety helmet\"},\n {\"box_2d\": [322, 69, 434, 176], \"label\": \"safety helmet\"},\n {\"box_2d\": [287, 185, 375, 259], \"label\": \"safety helmet\"},\n {\"box_2d\": [306, 581, 419, 675], \"label\": \"safety helmet\"},\n {\"box_2d\": [326, 332, 424, 404], \"label\": \"safety helmet\"},\n {\"box_2d\": [362, 680, 459, 777], \"label\": \"safety helmet\"},\n {\"box_2d\": [465, 748, 862, 902], \"label\": \"safety vest\"},\n {\"box_2d\": [464, 573, 804, 699], \"label\": \"safety vest\"},\n {\"box_2d\": [482, 261, 850, 442], \"label\": \"safety vest\"},\n {\"box_2d\": [482, 690, 864, 798], \"label\": \"safety vest\"},\n {\"box_2d\": [477, 458, 787, 591], \"label\": \"safety vest\"},\n {\"box_2d\": [326, 252, 850, 444], \"label\": \"person\"},\n {\"box_2d\": [362, 601, 864, 798], \"label\": \"person\"},\n {\"box_2d\": [323, 440, 949, 591], \"label\": \"person\"},\n {\"box_2d\": [278, 672, 1000, 902], \"label\": \"person\"},\n {\"box_2d\": [307, 574, 888, 722], \"label\": \"person\"},\n {\"box_2d\": [322, 61, 1000, 297], \"label\": \"person\"},\n {\"box_2d\": [287, 134, 1000, 290], \"label\": \"person\"}\n]\n```", "correct": true, "input_tokens": 1222, "output_tokens": 671, "elapsed_seconds": 28.721036082948558, "metadata": {"match_method": "map", "num_predictions": 19, "num_ground_truth": 19, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 30.2097}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 233, "image": "ind_jpeg_jpg.rf.838960e9a8a04626878832d54c63b122.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [17, 23, 47, 309], \"label\": \"technical drawing table\"},\n {\"box_2d\": [17, 905, 47, 976], \"label\": \"technical drawing table\"},\n {\"box_2d\": [915, 208, 982, 976], \"label\": \"technical drawing table\"},\n {\"box_2d\": [558, 351, 569, 371], \"label\": \"dimension annotation\"},\n {\"box_2d\": [588, 276, 600, 304], \"label\": \"dimension annotation\"},\n {\"box_2d\": [480, 65, 505, 98], \"label\": \"dimension annotation\"},\n {\"box_2d\": [368, 76, 393, 111], \"label\": \"dimension annotation\"},\n {\"box_2d\": [359, 575, 378, 605], \"label\": \"dimension annotation\"},\n {\"box_2d\": [651, 345, 678, 379], \"label\": \"dimension annotation\"},\n {\"box_2d\": [661, 471, 682, 503], \"label\": \"dimension annotation\"},\n {\"box_2d\": [751, 584, 766, 601], \"label\": \"dimension annotation\"},\n {\"box_2d\": [805, 584, 819, 601], \"label\": \"dimension annotation\"},\n {\"box_2d\": [765, 554, 772, 569], \"label\": \"dimension annotation\"},\n {\"box_2d\": [753, 936, 768, 952], \"label\": \"dimension annotation\"},\n {\"box_2d\": [637, 851, 648, 868], \"label\": \"dimension annotation\"},\n {\"box_2d\": [637, 693, 648, 712], \"label\": \"dimension annotation\"},\n {\"box_2d\": [637, 770, 648, 791], \"label\": \"dimension annotation\"},\n {\"box_2d\": [793, 56, 808, 72], \"label\": \"dimension annotation\"}\n]\n```", "correct": false, "input_tokens": 1233, "output_tokens": 635, "elapsed_seconds": 10.747882166993804, "metadata": {"match_method": "map", "num_predictions": 18, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6211221218109131, "attempts": 1, "retries": 0, "total_seconds": 10.7631}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 234, "image": "frame_0102_jpg.rf.17d6c3b1d93b1bd2e8d8880687a7f794.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [39, 340, 74, 360], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [39, 394, 71, 415], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [46, 450, 79, 471], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [48, 505, 81, 526], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [133, 502, 169, 524], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [130, 444, 169, 466], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [125, 387, 161, 409], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [123, 331, 159, 353], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [217, 333, 258, 357], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [224, 391, 265, 415], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [230, 451, 272, 475], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [248, 511, 290, 535], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [350, 507, 393, 531], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [332, 444, 376, 468], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [323, 381, 368, 407], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [315, 323, 357, 347], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [417, 308, 460, 334], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [427, 367, 473, 393], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [437, 429, 482, 455], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [454, 491, 499, 517], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [572, 502, 619, 529], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [558, 437, 605, 464], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [542, 374, 589, 401], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [527, 313, 574, 339], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [637, 302, 684, 327], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [652, 362, 699, 389], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [670, 427, 718, 453], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [686, 491, 735, 518], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [801, 488, 847, 514], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [785, 424, 830, 449], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [765, 359, 811, 385], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [746, 297, 793, 323], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [860, 305, 906, 331], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [884, 367, 929, 393], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [898, 431, 943, 456], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [918, 495, 962, 520], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [960, 295, 1000, 317], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [979, 352, 1000, 376], \"label\": \"soda bottle cap\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 1374, "elapsed_seconds": 50.261876125005074, "metadata": {"match_method": "map", "num_predictions": 38, "num_ground_truth": 38, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 50.8149}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 235, "image": "tile_559_jpg.rf.2e36153b3f0a023e43755fc06e0c32dc.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [5, 326, 26, 378], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [216, 451, 238, 535], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [324, 249, 360, 349], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [666, 666, 686, 750], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [740, 354, 759, 430], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [884, 0, 904, 78], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [958, 550, 980, 601], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [928, 774, 954, 860], \"label\": \"ship in SAR satellite image\"}\n]\n```", "correct": true, "input_tokens": 1229, "output_tokens": 310, "elapsed_seconds": 5.59309600002598, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 5.6386}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 236, "image": "frame_0555_jpg.rf.e5603989fbc45aefce0b30f65bdbe361.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [786, 241, 862, 288], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [611, 232, 689, 279], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [461, 235, 535, 277], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [252, 255, 314, 291], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [83, 235, 144, 281], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 270, 39, 305], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 344, 46, 384], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [26, 431, 80, 463], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 597, 47, 622], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [46, 539, 105, 569], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [140, 541, 198, 572], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [65, 348, 128, 391], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [162, 337, 231, 372], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [219, 353, 276, 389], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [238, 442, 302, 477], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [298, 370, 362, 408], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [375, 435, 437, 475], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [406, 357, 465, 394], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [493, 348, 558, 386], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [465, 550, 526, 584], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [423, 653, 485, 694], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [585, 580, 653, 622], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [729, 604, 803, 645], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [769, 485, 849, 526], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [797, 450, 882, 490], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [741, 346, 822, 392], \"label\": \"garlic on conveyor\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 934, "elapsed_seconds": 14.690984125016257, "metadata": {"match_method": "map", "num_predictions": 26, "num_ground_truth": 23, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9097486734390259, "attempts": 1, "retries": 0, "total_seconds": 14.8284}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 237, "image": "DJI_0236_JPG_jpg.rf.d7ac178bd4662b9ae881e21c92284693.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [723, 556, 895, 626], \"label\": \"excavator\"},\n {\"box_2d\": [461, 386, 491, 437], \"label\": \"dump truck\"},\n {\"box_2d\": [415, 229, 441, 274], \"label\": \"dump truck\"},\n {\"box_2d\": [378, 543, 415, 561], \"label\": \"concrete mixer\"},\n {\"box_2d\": [163, 822, 365, 952], \"label\": \"tower crane\"},\n {\"box_2d\": [202, 930, 829, 1000], \"label\": \"tower crane\"}\n]\n```", "correct": true, "input_tokens": 1209, "output_tokens": 224, "elapsed_seconds": 38.5558974170126, "metadata": {"match_method": "map", "num_predictions": 6, "num_ground_truth": 6, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 39.7018}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 238, "image": "9999981_00000_d_0000108_jpg.rf.808757c317fef3db00edefab735a3c05.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [540, 326, 628, 377], \"label\": \"car\"},\n {\"box_2d\": [925, 452, 1000, 527], \"label\": \"car\"},\n {\"box_2d\": [786, 735, 871, 796], \"label\": \"car\"},\n {\"box_2d\": [812, 761, 899, 821], \"label\": \"car\"},\n {\"box_2d\": [540, 738, 608, 809], \"label\": \"car\"},\n {\"box_2d\": [367, 655, 426, 715], \"label\": \"car\"},\n {\"box_2d\": [392, 571, 502, 687], \"label\": \"bus\"},\n {\"box_2d\": [289, 231, 360, 271], \"label\": \"car\"},\n {\"box_2d\": [258, 483, 323, 523], \"label\": \"car\"},\n {\"box_2d\": [209, 495, 272, 542], \"label\": \"car\"},\n {\"box_2d\": [83, 439, 146, 476], \"label\": \"car\"},\n {\"box_2d\": [0, 405, 55, 440], \"label\": \"car\"},\n {\"box_2d\": [199, 405, 266, 446], \"label\": \"car\"},\n {\"box_2d\": [61, 148, 170, 200], \"label\": \"truck\"},\n {\"box_2d\": [119, 19, 203, 60], \"label\": \"van\"},\n {\"box_2d\": [65, 8, 121, 39], \"label\": \"car\"},\n {\"box_2d\": [288, 60, 355, 92], \"label\": \"van\"},\n {\"box_2d\": [373, 86, 427, 118], \"label\": \"car\"},\n {\"box_2d\": [535, 130, 605, 169], \"label\": \"van\"},\n {\"box_2d\": [908, 196, 982, 239], \"label\": \"tricycle\"},\n {\"box_2d\": [866, 391, 900, 412], \"label\": \"motorcycle\"},\n {\"box_2d\": [864, 391, 891, 405], \"label\": \"person\"},\n {\"box_2d\": [891, 342, 912, 356], \"label\": \"person\"},\n {\"box_2d\": [708, 567, 730, 581], \"label\": \"person\"},\n {\"box_2d\": [306, 552, 333, 568], \"label\": \"person\"},\n {\"box_2d\": [387, 770, 402, 778], \"label\": \"person\"},\n {\"box_2d\": [427, 751, 443, 761], \"label\": \"person\"},\n {\"box_2d\": [24, 407, 48, 415], \"label\": \"person\"},\n {\"box_2d\": [928, 954, 963, 978], \"label\": \"motorcycle\"},\n {\"box_2d\": [934, 957, 962, 978], \"label\": \"person\"},\n {\"box_2d\": [982, 359, 1000, 372], \"label\": \"person\"},\n {\"box_2d\": [876, 26, 892, 43], \"label\": \"person\"},\n {\"box_2d\": [468, 15, 489, 36], \"label\": \"person\"},\n {\"box_2d\": [890, 341, 913, 358], \"label\": \"motorcycle\"},\n {\"box_2d\": [905, 197, 932, 214], \"label\": \"person\"},\n {\"box_2d\": [843, 187, 875, 206], \"label\": \"person\"},\n {\"box_2d\": [720, 692, 745, 704], \"label\": \"person\"}\n]\n```", "correct": false, "input_tokens": 1214, "output_tokens": 1253, "elapsed_seconds": 14.860334625001997, "metadata": {"match_method": "map", "num_predictions": 37, "num_ground_truth": 46, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5009717345237732, "attempts": 1, "retries": 0, "total_seconds": 14.9653}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 239, "image": "egg-detection_image381_jpg.rf.26b6182b9e6a29f3cd96c54029e234f8.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [708, 479, 770, 517], \"label\": \"egg\"},\n {\"box_2d\": [713, 417, 768, 456], \"label\": \"egg\"},\n {\"box_2d\": [678, 383, 738, 419], \"label\": \"egg\"},\n {\"box_2d\": [590, 302, 645, 338], \"label\": \"egg\"},\n {\"box_2d\": [533, 316, 597, 349], \"label\": \"egg\"},\n {\"box_2d\": [309, 427, 377, 458], \"label\": \"egg\"},\n {\"box_2d\": [244, 419, 308, 455], \"label\": \"egg\"},\n {\"box_2d\": [244, 465, 301, 505], \"label\": \"egg\"},\n {\"box_2d\": [290, 481, 352, 518], \"label\": \"egg\"},\n {\"box_2d\": [265, 559, 333, 591], \"label\": \"egg\"},\n {\"box_2d\": [165, 371, 220, 407], \"label\": \"egg\"},\n {\"box_2d\": [92, 385, 148, 421], \"label\": \"egg\"},\n {\"box_2d\": [64, 427, 125, 456], \"label\": \"egg\"},\n {\"box_2d\": [14, 433, 65, 466], \"label\": \"egg\"},\n {\"box_2d\": [31, 472, 91, 501], \"label\": \"egg\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 516, "elapsed_seconds": 7.9601304159732535, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 8.104}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 240, "image": "A16150-1C_2025_NCPT-175_JPG_jpg.rf.2c6e330d745fc218d09f761944d1e142.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [17, 250, 96, 275], \"label\": \"potato\"},\n {\"box_2d\": [96, 248, 161, 274], \"label\": \"potato\"},\n {\"box_2d\": [15, 297, 56, 316], \"label\": \"potato\"},\n {\"box_2d\": [54, 295, 105, 316], \"label\": \"potato\"},\n {\"box_2d\": [105, 289, 162, 315], \"label\": \"potato\"},\n {\"box_2d\": [163, 286, 242, 317], \"label\": \"potato\"},\n {\"box_2d\": [242, 286, 315, 317], \"label\": \"potato\"},\n {\"box_2d\": [9, 332, 91, 366], \"label\": \"potato\"},\n {\"box_2d\": [90, 330, 170, 362], \"label\": \"potato\"},\n {\"box_2d\": [170, 330, 243, 360], \"label\": \"potato\"},\n {\"box_2d\": [243, 325, 334, 361], \"label\": \"potato\"},\n {\"box_2d\": [335, 324, 422, 359], \"label\": \"potato\"},\n {\"box_2d\": [414, 281, 514, 317], \"label\": \"potato\"},\n {\"box_2d\": [443, 329, 516, 359], \"label\": \"potato\"},\n {\"box_2d\": [517, 324, 593, 355], \"label\": \"potato\"},\n {\"box_2d\": [579, 285, 646, 310], \"label\": \"potato\"},\n {\"box_2d\": [650, 275, 740, 315], \"label\": \"potato\"},\n {\"box_2d\": [749, 285, 816, 308], \"label\": \"potato\"},\n {\"box_2d\": [921, 283, 987, 311], \"label\": \"potato\"},\n {\"box_2d\": [922, 325, 1000, 351], \"label\": \"potato\"},\n {\"box_2d\": [919, 364, 999, 400], \"label\": \"potato\"},\n {\"box_2d\": [700, 327, 777, 355], \"label\": \"potato\"},\n {\"box_2d\": [779, 327, 853, 353], \"label\": \"potato\"},\n {\"box_2d\": [689, 368, 761, 399], \"label\": \"potato\"},\n {\"box_2d\": [762, 368, 847, 399], \"label\": \"potato\"},\n {\"box_2d\": [21, 378, 92, 410], \"label\": \"potato\"},\n {\"box_2d\": [110, 374, 189, 405], \"label\": \"potato\"},\n {\"box_2d\": [190, 375, 266, 406], \"label\": \"potato\"},\n {\"box_2d\": [266, 375, 350, 409], \"label\": \"potato\"},\n {\"box_2d\": [336, 365, 386, 390], \"label\": \"potato\"},\n {\"box_2d\": [387, 369, 486, 405], \"label\": \"potato\"},\n {\"box_2d\": [482, 371, 574, 407], \"label\": \"potato\"},\n {\"box_2d\": [6, 415, 88, 453], \"label\": \"potato\"},\n {\"box_2d\": [86, 414, 193, 459], \"label\": \"potato\"},\n {\"box_2d\": [194, 417, 272, 451], \"label\": \"potato\"},\n {\"box_2d\": [8, 467, 80, 495], \"label\": \"potato\"},\n {\"box_2d\": [80, 467, 139, 494], \"label\": \"potato\"},\n {\"box_2d\": [139, 457, 255, 496], \"label\": \"potato\"},\n {\"box_2d\": [266, 463, 333, 490], \"label\": \"potato\"},\n {\"box_2d\": [339, 460, 412, 489], \"label\": \"potato\"},\n {\"box_2d\": [411, 461, 502, 496], \"label\": \"potato\"},\n {\"box_2d\": [350, 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728, 98, 761], \"label\": \"potato\"},\n {\"box_2d\": [21, 814, 83, 842], \"label\": \"potato\"},\n {\"box_2d\": [290, 767, 357, 790], \"label\": \"potato\"},\n {\"box_2d\": [330, 811, 388, 835], \"label\": \"potato\"},\n {\"box_2d\": [317, 850, 394, 878], \"label\": \"potato\"},\n {\"box_2d\": [442, 766, 518, 796], \"label\": \"potato\"},\n {\"box_2d\": [521, 722, 607, 762], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 2728, "elapsed_seconds": 31.306230165995657, "metadata": {"match_method": "map", "num_predictions": 81, "num_ground_truth": 81, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 32.0336}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 241, "image": "lot251_JPEG_jpg.rf.5ae906b5fd537b40c5fabb806ecf5fd9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [178, 342, 200, 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[696, 552, 734, 577], \"label\": \"chicory seed\"},\n {\"box_2d\": [715, 580, 742, 623], \"label\": \"chicory seed\"},\n {\"box_2d\": [729, 622, 754, 667], \"label\": \"chicory seed\"},\n {\"box_2d\": [750, 591, 785, 629], \"label\": \"chicory seed\"},\n {\"box_2d\": [737, 576, 771, 616], \"label\": \"chicory seed\"},\n {\"box_2d\": [730, 541, 755, 585], \"label\": \"chicory seed\"},\n {\"box_2d\": [761, 525, 798, 557], \"label\": \"chicory seed\"},\n {\"box_2d\": [742, 502, 771, 543], \"label\": \"chicory seed\"},\n {\"box_2d\": [755, 485, 787, 528], \"label\": \"chicory seed\"},\n {\"box_2d\": [773, 474, 809, 512], \"label\": \"chicory seed\"},\n {\"box_2d\": [712, 497, 747, 535], \"label\": \"chicory seed\"},\n {\"box_2d\": [692, 485, 720, 527], \"label\": \"chicory seed\"},\n {\"box_2d\": [673, 481, 704, 523], \"label\": \"chicory seed\"},\n {\"box_2d\": [735, 463, 771, 500], \"label\": \"chicory seed\"},\n {\"box_2d\": [716, 461, 748, 503], \"label\": \"chicory seed\"},\n {\"box_2d\": [691, 450, 731, 479], \"label\": \"chicory seed\"},\n {\"box_2d\": [742, 420, 779, 458], \"label\": \"chicory seed\"},\n {\"box_2d\": [759, 401, 799, 426], \"label\": \"chicory seed\"},\n {\"box_2d\": [712, 419, 750, 447], \"label\": \"chicory seed\"},\n {\"box_2d\": [703, 401, 745, 427], \"label\": \"chicory seed\"},\n {\"box_2d\": [755, 347, 776, 389], \"label\": \"chicory seed\"},\n {\"box_2d\": [738, 365, 762, 407], \"label\": \"chicory seed\"},\n {\"box_2d\": [714, 355, 739, 399], \"label\": \"chicory seed\"},\n {\"box_2d\": [696, 361, 718, 405], \"label\": \"chicory seed\"},\n {\"box_2d\": [742, 283, 769, 329], \"label\": \"chicory seed\"},\n {\"box_2d\": [723, 317, 752, 357], \"label\": \"chicory seed\"},\n {\"box_2d\": [702, 321, 736, 359], \"label\": \"chicory seed\"},\n {\"box_2d\": [718, 284, 749, 327], \"label\": \"chicory seed\"},\n {\"box_2d\": [696, 281, 725, 320], \"label\": \"chicory seed\"},\n {\"box_2d\": [702, 245, 730, 284], \"label\": \"chicory seed\"},\n {\"box_2d\": [680, 244, 705, 286], \"label\": \"chicory seed\"},\n {\"box_2d\": [660, 203, 699, 234], \"label\": \"chicory seed\"},\n {\"box_2d\": [647, 232, 688, 255], \"label\": \"chicory seed\"},\n {\"box_2d\": [639, 255, 680, 280], \"label\": \"chicory seed\"},\n {\"box_2d\": [654, 280, 696, 303], \"label\": \"chicory seed\"},\n {\"box_2d\": [678, 302, 704, 345], \"label\": \"chicory seed\"},\n {\"box_2d\": [657, 301, 687, 342], \"label\": \"chicory seed\"},\n {\"box_2d\": [671, 342, 709, 372], \"label\": \"chicory seed\"},\n {\"box_2d\": [654, 371, 681, 412], \"label\": \"chicory seed\"},\n {\"box_2d\": [682, 420, 704, 461], \"label\": \"chicory seed\"},\n {\"box_2d\": [662, 444, 684, 488], \"label\": \"chicory seed\"},\n {\"box_2d\": [630, 466, 672, 494], \"label\": \"chicory seed\"},\n {\"box_2d\": [644, 427, 682, 465], \"label\": \"chicory seed\"},\n {\"box_2d\": [654, 405, 695, 431], \"label\": \"chicory seed\"},\n {\"box_2d\": [623, 424, 659, 462], \"label\": \"chicory seed\"},\n {\"box_2d\": [603, 448, 626, 491], \"label\": \"chicory seed\"},\n {\"box_2d\": [584, 451, 606, 493], \"label\": \"chicory seed\"},\n {\"box_2d\": [545, 455, 584, 481], \"label\": \"chicory seed\"},\n {\"box_2d\": [537, 431, 579, 460], \"label\": \"chicory seed\"},\n {\"box_2d\": [512, 444, 537, 486], \"label\": \"chicory seed\"},\n {\"box_2d\": [471, 430, 512, 456], \"label\": \"chicory seed\"},\n {\"box_2d\": [491, 415, 533, 441], \"label\": \"chicory seed\"},\n {\"box_2d\": [530, 411, 570, 445], \"label\": \"chicory seed\"},\n {\"box_2d\": [524, 394, 563, 426], \"label\": \"chicory seed\"},\n {\"box_2d\": [513, 387, 551, 419], \"label\": \"chicory seed\"},\n {\"box_2d\": [565, 399, 594, 440], \"label\": \"chicory seed\"},\n {\"box_2d\": [588, 407, 621, 448], \"label\": \"chicory seed\"},\n {\"box_2d\": [605, 410, 643, 448], \"label\": \"chicory seed\"},\n {\"box_2d\": [618, 375, 658, 407], \"label\": \"chicory seed\"},\n {\"box_2d\": [623, 348, 656, 386], \"label\": \"chicory seed\"},\n {\"box_2d\": [644, 330, 669, 372], \"label\": \"chicory seed\"},\n {\"box_2d\": [617, 312, 659, 344], \"label\": \"chicory seed\"},\n {\"box_2d\": [601, 336, 625, 379], \"label\": \"chicory seed\"},\n {\"box_2d\": [590, 366, 612, 409], \"label\": \"chicory seed\"},\n {\"box_2d\": [584, 325, 606, 369], \"label\": \"chicory seed\"},\n {\"box_2d\": [569, 341, 592, 382], \"label\": \"chicory seed\"},\n {\"box_2d\": [525, 360, 562, 391], \"label\": \"chicory seed\"},\n {\"box_2d\": [518, 326, 552, 362], \"label\": \"chicory seed\"},\n {\"box_2d\": [549, 325, 574, 369], \"label\": \"chicory seed\"},\n {\"box_2d\": [522, 294, 559, 331], \"label\": \"chicory seed\"},\n {\"box_2d\": [557, 296, 586, 339], \"label\": \"chicory seed\"},\n {\"box_2d\": [573, 277, 600, 320], \"label\": \"chicory seed\"},\n {\"box_2d\": [591, 270, 614, 311], \"label\": \"chicory seed\"},\n {\"box_2d\": [611, 277, 636, 319], \"label\": \"chicory seed\"},\n {\"box_2d\": [628, 268, 654, 310], \"label\": \"chicory seed\"},\n {\"box_2d\": [616, 239, 648, 280], \"label\": \"chicory seed\"},\n {\"box_2d\": [602, 231, 627, 273], \"label\": \"chicory seed\"},\n {\"box_2d\": [618, 195, 658, 227], \"label\": \"chicory seed\"},\n {\"box_2d\": [579, 241, 602, 282], \"label\": \"chicory seed\"},\n {\"box_2d\": [556, 256, 580, 298], \"label\": \"chicory seed\"},\n {\"box_2d\": [536, 252, 560, 294], \"label\": \"chicory seed\"},\n {\"box_2d\": [517, 252, 540, 292], \"label\": \"chicory seed\"},\n {\"box_2d\": [574, 209, 613, 243], \"label\": \"chicory seed\"},\n {\"box_2d\": [560, 195, 599, 229], \"label\": \"chicory seed\"},\n {\"box_2d\": [566, 166, 601, 202], \"label\": \"chicory seed\"},\n {\"box_2d\": [559, 146, 589, 185], \"label\": \"chicory seed\"},\n {\"box_2d\": [529, 143, 555, 187], \"label\": \"chicory seed\"},\n {\"box_2d\": [504, 141, 533, 181], \"label\": \"chicory seed\"},\n {\"box_2d\": [454, 149, 496, 168], \"label\": \"chicory seed\"},\n {\"box_2d\": [498, 184, 519, 220], \"label\": \"chicory seed\"},\n {\"box_2d\": [499, 209, 539, 236], \"label\": \"chicory seed\"},\n {\"box_2d\": [532, 222, 572, 251], \"label\": \"chicory seed\"},\n {\"box_2d\": [502, 235, 541, 260], \"label\": \"chicory seed\"},\n {\"box_2d\": [473, 197, 493, 239], \"label\": \"chicory seed\"},\n {\"box_2d\": [451, 184, 471, 228], \"label\": \"chicory seed\"},\n {\"box_2d\": [399, 156, 440, 177], \"label\": \"chicory seed\"},\n {\"box_2d\": [404, 179, 446, 208], \"label\": \"chicory seed\"},\n {\"box_2d\": [409, 194, 449, 224], \"label\": \"chicory seed\"},\n {\"box_2d\": [410, 217, 448, 247], \"label\": \"chicory seed\"},\n {\"box_2d\": [454, 240, 495, 267], \"label\": \"chicory seed\"},\n {\"box_2d\": [453, 260, 492, 293], \"label\": \"chicory seed\"},\n {\"box_2d\": [490, 263, 513, 304], \"label\": \"chicory seed\"},\n {\"box_2d\": [484, 304, 519, 339], \"label\": \"chicory seed\"},\n {\"box_2d\": [489, 339, 526, 362], \"label\": \"chicory seed\"},\n {\"box_2d\": [485, 360, 526, 381], \"label\": \"chicory seed\"},\n {\"box_2d\": [480, 381, 521, 405], \"label\": \"chicory seed\"},\n {\"box_2d\": [465, 400, 506, 422], \"label\": \"chicory seed\"},\n {\"box_2d\": [445, 422, 472, 462], \"label\": \"chicory seed\"},\n {\"box_2d\": [425, 410, 458, 448], \"label\": \"chicory seed\"},\n {\"box_2d\": [438, 382, 478, 412], \"label\": \"chicory seed\"},\n {\"box_2d\": [460, 332, 486, 375], \"label\": \"chicory seed\"},\n {\"box_2d\": [448, 312, 486, 342], \"label\": \"chicory seed\"},\n {\"box_2d\": [448, 289, 489, 318], \"label\": \"chicory seed\"},\n {\"box_2d\": [427, 344, 465, 370], \"label\": \"chicory seed\"},\n {\"box_2d\": [425, 304, 447, 345], \"label\": \"chicory seed\"},\n {\"box_2d\": [404, 280, 442, 303], \"label\": \"chicory seed\"},\n {\"box_2d\": [417, 245, 452, 282], \"label\": \"chicory seed\"},\n {\"box_2d\": [400, 237, 426, 279], \"label\": \"chicory seed\"},\n {\"box_2d\": [374, 211, 396, 255], \"label\": \"chicory seed\"},\n {\"box_2d\": [364, 259, 399, 294], \"label\": \"chicory seed\"},\n {\"box_2d\": [364, 281, 404, 310], \"label\": \"chicory seed\"},\n {\"box_2d\": [352, 308, 392, 332], \"label\": \"chicory seed\"},\n {\"box_2d\": [393, 311, 426, 347], \"label\": \"chicory seed\"},\n {\"box_2d\": [379, 326, 414, 363], \"label\": \"chicory seed\"},\n {\"box_2d\": [360, 330, 389, 368], \"label\": \"chicory seed\"},\n {\"box_2d\": [411, 356, 449, 391], \"label\": \"chicory seed\"},\n {\"box_2d\": [391, 363, 429, 395], \"label\": \"chicory seed\"},\n {\"box_2d\": [351, 376, 391, 400], \"label\": \"chicory seed\"},\n {\"box_2d\": [364, 391, 404, 416], \"label\": \"chicory seed\"},\n {\"box_2d\": [396, 391, 434, 421], \"label\": \"chicory seed\"},\n {\"box_2d\": [402, 406, 440, 441], \"label\": \"chicory seed\"},\n {\"box_2d\": [391, 439, 429, 469], \"label\": \"chicory seed\"},\n {\"box_2d\": [375, 452, 407, 488], \"label\": \"chicory seed\"},\n {\"box_2d\": [354, 464, 392, 499], \"label\": \"chicory seed\"},\n {\"box_2d\": [366, 414, 401, 450], \"label\": \"chicory seed\"},\n {\"box_2d\": [352, 416, 377, 458], \"label\": \"chicory seed\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 10812, "elapsed_seconds": 79.61823995795567, "metadata": {"match_method": "map", "num_predictions": 300, "num_ground_truth": 300, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3366336524486542, "attempts": 1, "retries": 0, "total_seconds": 79.7412}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 242, "image": "4105625_ContRightUpper_f_jpg.rf.262f5072bce0f2365a2193d631224fd1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [329, 0, 616, 267], \"label\": \"shipping container wall dent\"}\n]\n```", "correct": false, "input_tokens": 1255, "output_tokens": 47, "elapsed_seconds": 3.6077367910183966, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 3.7463}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 243, "image": "18_jpeg_jpg.rf.b131f08c745acace9daeeea095e0d1ef.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [283, 845, 405, 968], \"label\": \"potato\"},\n {\"box_2d\": [721, 542, 817, 628], \"label\": \"potato\"},\n {\"box_2d\": [92, 888, 211, 987], \"label\": \"potato\"},\n {\"box_2d\": [501, 613, 603, 698], \"label\": \"potato\"},\n {\"box_2d\": [86, 20, 190, 109], \"label\": \"potato\"},\n {\"box_2d\": [699, 143, 811, 248], \"label\": \"potato\"},\n {\"box_2d\": [301, 179, 389, 261], \"label\": \"potato\"},\n {\"box_2d\": [92, 445, 179, 540], \"label\": \"potato\"},\n {\"box_2d\": [499, 877, 597, 956], \"label\": \"potato\"},\n {\"box_2d\": [715, 665, 817, 748], \"label\": \"potato\"},\n {\"box_2d\": [906, 595, 1000, 691], \"label\": \"potato\"},\n {\"box_2d\": [497, 449, 593, 535], \"label\": \"potato\"},\n {\"box_2d\": [690, 937, 792, 1000], \"label\": \"potato\"},\n {\"box_2d\": [904, 148, 1000, 253], \"label\": \"potato\"},\n {\"box_2d\": [501, 1, 684, 61], \"label\": \"potato\"},\n {\"box_2d\": [870, 917, 984, 1000], \"label\": \"potato\"},\n {\"box_2d\": [493, 236, 619, 322], \"label\": \"potato\"},\n {\"box_2d\": [715, 357, 817, 477], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1240, "output_tokens": 621, "elapsed_seconds": 7.190128750051372, "metadata": {"match_method": "map", "num_predictions": 18, "num_ground_truth": 18, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 7.2322}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 244, "image": "lot312_JPEG_jpg.rf.6c72b39304c1a45a005f911f32e89494.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [191, 315, 217, 355], \"label\": \"chicory seed\"},\n {\"box_2d\": [151, 381, 180, 419], \"label\": \"chicory seed\"},\n {\"box_2d\": [203, 530, 230, 567], \"label\": \"chicory seed\"},\n {\"box_2d\": [273, 737, 297, 777], \"label\": \"chicory seed\"},\n {\"box_2d\": [392, 419, 418, 456], \"label\": \"chicory seed\"},\n {\"box_2d\": [319, 157, 344, 194], \"label\": \"chicory seed\"},\n {\"box_2d\": [450, 111, 474, 141], \"label\": \"chicory seed\"},\n {\"box_2d\": [568, 444, 594, 480], \"label\": \"chicory seed\"},\n {\"box_2d\": [614, 123, 639, 159], \"label\": \"chicory seed\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 336, "elapsed_seconds": 7.276324167032726, "metadata": {"match_method": "map", "num_predictions": 9, "num_ground_truth": 291, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 2, "retries": 1, "total_seconds": 71.5065, "transient_errors": ["RemoteProtocolError"]}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 245, "image": "DJI_0271_JPG_jpg.rf.58c0e5179915be4446df421b02825d3d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [553, 789, 718, 913], \"label\": \"excavator\"},\n {\"box_2d\": [0, 361, 1000, 622], \"label\": \"tower crane\"},\n {\"box_2d\": [186, 789, 232, 827], \"label\": \"dump truck\"}\n]\n```", "correct": false, "input_tokens": 1206, "output_tokens": 117, "elapsed_seconds": 23.12114591593854, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 6, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7524751424789429, "attempts": 1, "retries": 0, "total_seconds": 24.4175}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 246, "image": "IMG_3900_JPG.rf.5ee75659ac02193213ba7636038947a4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [405, 152, 478, 265], \"label\": \"500 poker chip\"},\n {\"box_2d\": [501, 92, 581, 211], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [591, 134, 681, 263], \"label\": \"10 poker chip\"},\n {\"box_2d\": [513, 204, 597, 326], \"label\": \"100 poker chip\"},\n {\"box_2d\": [415, 265, 488, 376], \"label\": \"10 poker chip\"},\n {\"box_2d\": [357, 319, 424, 427], \"label\": \"10 poker chip\"},\n {\"box_2d\": [468, 326, 546, 440], \"label\": \"500 poker chip\"},\n {\"box_2d\": [427, 422, 502, 533], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [368, 486, 437, 593], \"label\": \"5 poker chip\"},\n {\"box_2d\": [324, 566, 391, 669], \"label\": \"50 poker chip\"},\n {\"box_2d\": [393, 637, 464, 748], \"label\": \"10000 poker chip\"},\n {\"box_2d\": [457, 682, 536, 799], \"label\": \"50 poker chip\"},\n {\"box_2d\": [482, 489, 562, 604], \"label\": \"100 poker chip\"},\n {\"box_2d\": [502, 598, 585, 716], \"label\": \"100 poker chip\"},\n {\"box_2d\": [540, 740, 626, 864], \"label\": \"100 poker chip\"},\n {\"box_2d\": [525, 393, 608, 511], \"label\": \"10 poker chip\"},\n {\"box_2d\": [566, 284, 655, 408], \"label\": \"10 poker chip\"},\n {\"box_2d\": [631, 355, 728, 484], \"label\": \"10 poker chip\"},\n {\"box_2d\": [592, 469, 686, 594], \"label\": \"50 poker chip\"},\n {\"box_2d\": [581, 616, 672, 741], \"label\": \"5 poker chip\"},\n {\"box_2d\": [623, 738, 719, 869], \"label\": \"100 poker chip\"},\n {\"box_2d\": [690, 637, 794, 773], \"label\": \"100 poker chip\"},\n {\"box_2d\": [742, 528, 853, 667], \"label\": \"100 poker chip\"},\n {\"box_2d\": [718, 398, 826, 534], \"label\": \"10 poker chip\"},\n {\"box_2d\": [698, 250, 804, 386], \"label\": \"20 poker chip\"}\n]\n```", "correct": true, "input_tokens": 1252, "output_tokens": 950, "elapsed_seconds": 24.339918458019383, "metadata": {"match_method": "map", "num_predictions": 25, "num_ground_truth": 25, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 25.1973}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 247, "image": "9AAEA6F5-FD0E-47BE-8596-0D85E5F62F1A_jpg.rf.7b7e8cbfdfc78f2c2cad6219290c51d6.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [757, 631, 800, 721], \"label\": \"pill\"},\n {\"box_2d\": [794, 288, 843, 381], \"label\": \"pill\"},\n {\"box_2d\": [720, 642, 764, 730], \"label\": \"pill\"},\n {\"box_2d\": [686, 639, 724, 729], \"label\": \"pill\"},\n {\"box_2d\": [694, 286, 751, 376], \"label\": \"pill\"},\n {\"box_2d\": [602, 362, 691, 396], \"label\": \"pill\"},\n {\"box_2d\": [556, 354, 590, 444], \"label\": \"pill\"},\n {\"box_2d\": [520, 389, 558, 476], \"label\": \"pill\"},\n {\"box_2d\": [465, 443, 537, 513], \"label\": \"pill\"},\n {\"box_2d\": [498, 251, 574, 322], \"label\": \"pill\"},\n {\"box_2d\": [447, 167, 535, 206], \"label\": \"pill\"},\n {\"box_2d\": [381, 187, 447, 265], \"label\": \"pill\"},\n {\"box_2d\": [444, 328, 529, 373], \"label\": \"pill\"},\n {\"box_2d\": [451, 359, 537, 405], \"label\": \"pill\"},\n {\"box_2d\": [262, 205, 344, 260], \"label\": \"pill\"},\n {\"box_2d\": [588, 725, 672, 780], \"label\": \"pill\"},\n {\"box_2d\": [563, 749, 647, 804], \"label\": \"pill\"},\n {\"box_2d\": [556, 686, 642, 730], \"label\": \"pill\"},\n {\"box_2d\": [520, 619, 597, 684], \"label\": \"pill\"},\n {\"box_2d\": [467, 575, 528, 653], \"label\": \"pill\"},\n {\"box_2d\": [442, 549, 510, 622], \"label\": \"pill\"},\n {\"box_2d\": [404, 528, 469, 601], \"label\": \"pill\"},\n {\"box_2d\": [350, 522, 434, 567], \"label\": \"pill\"},\n {\"box_2d\": [317, 568, 401, 599], \"label\": \"pill\"},\n {\"box_2d\": [313, 600, 396, 631], \"label\": \"pill\"},\n {\"box_2d\": [338, 629, 422, 662], \"label\": \"pill\"},\n {\"box_2d\": [334, 663, 419, 695], \"label\": \"pill\"},\n {\"box_2d\": [297, 689, 381, 723], \"label\": \"pill\"},\n {\"box_2d\": [295, 721, 376, 777], \"label\": \"pill\"},\n {\"box_2d\": [360, 707, 444, 751], \"label\": \"pill\"},\n {\"box_2d\": [377, 738, 462, 779], \"label\": \"pill\"},\n {\"box_2d\": [467, 730, 548, 788], \"label\": \"pill\"},\n {\"box_2d\": [319, 484, 376, 564], \"label\": \"pill\"},\n {\"box_2d\": [287, 473, 341, 552], \"label\": \"pill\"},\n {\"box_2d\": [296, 432, 379, 484], \"label\": \"pill\"},\n {\"box_2d\": [244, 372, 300, 452], \"label\": \"pill\"},\n {\"box_2d\": [165, 410, 245, 452], \"label\": \"pill\"},\n {\"box_2d\": [165, 468, 236, 535], \"label\": \"pill\"},\n {\"box_2d\": [161, 542, 206, 622], \"label\": \"pill\"},\n {\"box_2d\": [155, 687, 223, 756], \"label\": \"pill\"},\n {\"box_2d\": [92, 728, 173, 764], \"label\": \"pill\"},\n {\"box_2d\": [171, 213, 209, 298], \"label\": \"pill\"},\n {\"box_2d\": [138, 269, 195, 349], \"label\": \"pill\"},\n {\"box_2d\": [137, 182, 189, 265], \"label\": \"pill\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 1507, "elapsed_seconds": 19.76557383290492, "metadata": {"match_method": "map", "num_predictions": 44, "num_ground_truth": 44, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 20.4369}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 248, "image": "DJI_0237_JPG_jpg.rf.cb5e6b368dca69cc9b7bc36fb47fd6fb.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [585, 565, 745, 622], \"label\": \"excavator\"},\n {\"box_2d\": [381, 864, 434, 949], \"label\": \"concrete mixer\"},\n {\"box_2d\": [274, 226, 307, 272], \"label\": \"dump truck\"},\n {\"box_2d\": [298, 181, 336, 229], \"label\": \"dump truck\"},\n {\"box_2d\": [0, 833, 227, 976], \"label\": \"tower crane\"},\n {\"box_2d\": [254, 922, 692, 1000], \"label\": \"tower crane\"}\n]\n```", "correct": true, "input_tokens": 1209, "output_tokens": 222, "elapsed_seconds": 30.24597954202909, "metadata": {"match_method": "map", "num_predictions": 6, "num_ground_truth": 7, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8762375712394714, "attempts": 1, "retries": 0, "total_seconds": 31.517}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_070835", "index": 249, "image": "42ba34_9_9_png_jpg.rf.30ad6b17178011a7360591145cf422a2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [298, 408, 333, 417], \"label\": \"player\"},\n {\"box_2d\": [367, 307, 405, 321], \"label\": \"player\"},\n {\"box_2d\": [357, 319, 396, 330], \"label\": \"player\"},\n {\"box_2d\": [315, 567, 345, 577], \"label\": \"player\"},\n {\"box_2d\": [324, 657, 359, 669], \"label\": \"player\"},\n {\"box_2d\": [384, 715, 441, 725], \"label\": \"player\"},\n {\"box_2d\": [443, 672, 489, 686], \"label\": \"player\"},\n {\"box_2d\": [546, 697, 601, 714], \"label\": \"player\"},\n {\"box_2d\": [614, 676, 674, 695], \"label\": \"player\"},\n {\"box_2d\": [399, 589, 446, 600], \"label\": \"player\"},\n {\"box_2d\": [381, 479, 416, 495], \"label\": \"player\"},\n {\"box_2d\": [423, 478, 469, 490], \"label\": \"referee\"},\n {\"box_2d\": [401, 452, 444, 463], \"label\": \"player\"},\n {\"box_2d\": [405, 455, 451, 467], \"label\": \"player\"},\n {\"box_2d\": [471, 502, 520, 519], \"label\": \"player\"},\n {\"box_2d\": [511, 437, 562, 449], \"label\": \"player\"},\n {\"box_2d\": [588, 315, 640, 328], \"label\": \"player\"},\n {\"box_2d\": [612, 256, 666, 269], \"label\": \"player\"},\n {\"box_2d\": [476, 200, 527, 211], \"label\": \"player\"},\n {\"box_2d\": [465, 165, 513, 181], \"label\": \"player\"},\n {\"box_2d\": [380, 19, 421, 31], \"label\": \"goalkeeper\"},\n {\"box_2d\": [756, 888, 825, 911], \"label\": \"referee\"}\n]\n```", "correct": false, "input_tokens": 1242, "output_tokens": 761, "elapsed_seconds": 10.357877750066109, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5297029614448547, "attempts": 1, "retries": 0, "total_seconds": 10.4864}} diff --git a/results/detection_gemini-4-argon_low_20261013_071022.jsonl b/results/detection_gemini-4-argon_low_20261013_071022.jsonl new file mode 100644 index 0000000..e3b404b --- /dev/null +++ b/results/detection_gemini-4-argon_low_20261013_071022.jsonl @@ -0,0 +1,250 @@ +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 0, "image": "Screenshot-2024-05-16-144612_png.rf.ae5a345319058fdba768605388143544.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [777, 703, 800, 731], \"label\": \"bullet hole\"},\n {\"box_2d\": [832, 573, 858, 603], \"label\": \"bullet hole\"},\n {\"box_2d\": [819, 458, 845, 485], \"label\": \"bullet hole\"},\n {\"box_2d\": [869, 429, 892, 460], \"label\": \"bullet hole\"},\n {\"box_2d\": [839, 892, 868, 919], \"label\": \"bullet hole\"},\n {\"box_2d\": [955, 887, 984, 919], \"label\": \"bullet hole\"},\n {\"box_2d\": [958, 687, 979, 710], \"label\": \"bullet hole\"},\n {\"box_2d\": [577, 887, 602, 916], \"label\": \"bullet hole\"},\n {\"box_2d\": [529, 968, 553, 995], \"label\": \"bullet hole\"},\n {\"box_2d\": [521, 829, 545, 856], \"label\": \"bullet hole\"},\n {\"box_2d\": [455, 892, 482, 918], \"label\": \"bullet hole\"},\n {\"box_2d\": [419, 969, 444, 998], \"label\": \"bullet hole\"},\n {\"box_2d\": [405, 761, 429, 787], \"label\": \"bullet hole\"},\n {\"box_2d\": [274, 835, 297, 856], \"label\": \"bullet hole\"},\n {\"box_2d\": [119, 834, 140, 860], \"label\": \"bullet hole\"},\n {\"box_2d\": [216, 550, 237, 577], \"label\": \"bullet hole\"},\n {\"box_2d\": [290, 550, 315, 576], \"label\": \"bullet hole\"},\n {\"box_2d\": [365, 548, 389, 574], \"label\": \"bullet hole\"},\n {\"box_2d\": [419, 294, 444, 323], \"label\": \"bullet hole\"},\n {\"box_2d\": [350, 287, 376, 313], \"label\": \"bullet hole\"},\n {\"box_2d\": [247, 273, 269, 297], \"label\": \"bullet hole\"},\n {\"box_2d\": [163, 261, 189, 289], \"label\": \"bullet hole\"},\n {\"box_2d\": [568, 466, 594, 492], \"label\": \"bullet hole\"},\n {\"box_2d\": [650, 394, 676, 421], \"label\": \"bullet hole\"},\n {\"box_2d\": [703, 313, 726, 334], \"label\": \"bullet hole\"},\n {\"box_2d\": [821, 231, 848, 260], \"label\": \"bullet hole\"},\n {\"box_2d\": [895, 160, 915, 182], \"label\": \"bullet hole\"},\n {\"box_2d\": [835, 40, 856, 71], \"label\": \"bullet hole\"},\n {\"box_2d\": [618, 73, 640, 97], \"label\": \"bullet hole\"}\n]\n```", "correct": false, "input_tokens": 1226, "output_tokens": 1023, "elapsed_seconds": 9.50312904198654, "metadata": {"match_method": "map", "num_predictions": 29, "num_ground_truth": 29, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.205636128783226, "attempts": 1, "retries": 0, "total_seconds": 9.5301}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 1, "image": "img_462887999701516572_png.rf.318af6a4e9ad42c15e8fcc520375ad9b.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [723, 114, 818, 286], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [646, 134, 725, 303], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [579, 159, 648, 319], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [513, 179, 581, 331], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [454, 198, 521, 341], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [400, 217, 468, 351], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [352, 239, 419, 360], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [307, 255, 372, 369], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [290, 366, 353, 476], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [334, 357, 396, 475], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [381, 351, 446, 473], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [433, 335, 500, 463], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [490, 326, 558, 461], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [553, 314, 622, 456], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [618, 294, 691, 446], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [691, 276, 779, 439], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [732, 414, 829, 577], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [658, 426, 737, 582], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [590, 438, 660, 585], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [524, 446, 594, 585], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [464, 452, 531, 583], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [410, 456, 473, 581], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [358, 465, 421, 581], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [312, 469, 372, 580], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [295, 572, 357, 687], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [339, 573, 401, 692], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [388, 572, 453, 695], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [442, 572, 510, 703], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [500, 573, 569, 711], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [565, 571, 636, 717], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [632, 568, 706, 725], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [704, 565, 797, 731], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [736, 715, 835, 902], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [661, 706, 744, 886], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [593, 696, 665, 868], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [527, 696, 597, 855], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [468, 691, 535, 840], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [411, 686, 478, 827], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [361, 684, 426, 813], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [315, 680, 377, 800], \"label\": \"full portable gas cylinder\"}\n]\n```", "correct": true, "input_tokens": 1217, "output_tokens": 1492, "elapsed_seconds": 17.086098124971613, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 40, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 17.3925}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 2, "image": "basketball-player-detection_boston-celtics-new-york-knicks-game-1-q1-03-16-03-11-0135_png.rf.87404d3bb76bef98d9e926e5ec1e2966.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [266, 290, 300, 307], \"label\": \"basketball\"},\n {\"box_2d\": [267, 298, 295, 336], \"label\": \"basket rim\"},\n {\"box_2d\": [290, 263, 474, 303], \"label\": \"referee\"},\n {\"box_2d\": [836, 412, 998, 470], \"label\": \"referee\"},\n {\"box_2d\": [898, 429, 924, 444], \"label\": \"jersey number\"},\n {\"box_2d\": [703, 377, 734, 391], \"label\": \"jersey number\"},\n {\"box_2d\": [525, 455, 550, 461], \"label\": \"jersey number\"},\n {\"box_2d\": [336, 704, 360, 712], \"label\": \"jersey number\"},\n {\"box_2d\": [729, 779, 759, 801], \"label\": \"jersey number\"},\n {\"box_2d\": [461, 412, 695, 486], \"label\": \"player\"},\n {\"box_2d\": [631, 348, 902, 417], \"label\": \"player\"},\n {\"box_2d\": [370, 370, 597, 434], \"label\": \"player\"},\n {\"box_2d\": [401, 284, 643, 391], \"label\": \"player\"},\n {\"box_2d\": [274, 672, 504, 735], \"label\": \"player\"},\n {\"box_2d\": [410, 800, 687, 851], \"label\": \"player\"},\n {\"box_2d\": [656, 725, 952, 821], \"label\": \"player\"},\n {\"box_2d\": [748, 882, 998, 966], \"label\": \"player\"},\n {\"box_2d\": [274, 319, 622, 370], \"label\": \"player doing layup dunk\"}\n]\n```", "correct": false, "input_tokens": 1256, "output_tokens": 636, "elapsed_seconds": 10.152041124994867, "metadata": {"match_method": "map", "num_predictions": 18, "num_ground_truth": 19, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6630834341049194, "attempts": 1, "retries": 0, "total_seconds": 10.2906}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 3, "image": "fall-detection_all_mp4-1653_jpg.rf.9fa9a5ca42070b76929d3ba6ab91e945.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [512, 428, 623, 588], \"label\": \"fallen person\"},\n {\"box_2d\": [468, 355, 535, 513], \"label\": \"fallen person\"},\n {\"box_2d\": [423, 212, 478, 336], \"label\": \"fallen person\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 117, "elapsed_seconds": 3.926610666909255, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 3.9495}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 4, "image": "Screenshot-2024-05-16-150857_png.rf.d53edfaec65ba17dbc56ff856e70ed0d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [779, 362, 811, 396], \"label\": \"bullet hole\"},\n {\"box_2d\": [116, 319, 148, 349], \"label\": \"bullet hole\"},\n {\"box_2d\": [922, 629, 951, 660], \"label\": \"bullet hole\"},\n {\"box_2d\": [61, 518, 86, 549], \"label\": \"bullet hole\"},\n {\"box_2d\": [29, 463, 52, 488], \"label\": \"bullet hole\"},\n {\"box_2d\": [520, 543, 550, 570], \"label\": \"bullet hole\"},\n {\"box_2d\": [468, 142, 498, 171], \"label\": \"bullet hole\"},\n {\"box_2d\": [409, 921, 436, 949], \"label\": \"bullet hole\"},\n {\"box_2d\": [71, 628, 97, 658], \"label\": \"bullet hole\"},\n {\"box_2d\": [209, 889, 236, 918], \"label\": \"bullet hole\"},\n {\"box_2d\": [112, 825, 141, 855], \"label\": \"bullet hole\"},\n {\"box_2d\": [956, 976, 987, 1000], \"label\": \"bullet hole\"},\n {\"box_2d\": [437, 308, 465, 336], \"label\": \"bullet hole\"},\n {\"box_2d\": [692, 721, 720, 751], \"label\": \"bullet hole\"},\n {\"box_2d\": [812, 809, 839, 839], \"label\": \"bullet hole\"},\n {\"box_2d\": [891, 185, 922, 213], \"label\": \"bullet hole\"},\n {\"box_2d\": [163, 618, 189, 646], \"label\": \"bullet hole\"},\n {\"box_2d\": [339, 323, 364, 352], \"label\": \"bullet hole\"},\n {\"box_2d\": [436, 671, 464, 701], \"label\": \"bullet hole\"},\n {\"box_2d\": [614, 405, 643, 436], \"label\": \"bullet hole\"},\n {\"box_2d\": [138, 209, 165, 236], \"label\": \"bullet hole\"},\n {\"box_2d\": [546, 962, 575, 991], \"label\": \"bullet hole\"},\n {\"box_2d\": [798, 226, 831, 258], \"label\": \"bullet hole\"},\n {\"box_2d\": [710, 567, 738, 597], \"label\": \"bullet hole\"},\n {\"box_2d\": [294, 62, 324, 92], \"label\": \"bullet hole\"},\n {\"box_2d\": [682, 265, 711, 294], \"label\": \"bullet hole\"},\n {\"box_2d\": [609, 879, 638, 907], \"label\": \"bullet hole\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 950, "elapsed_seconds": 10.290161959012039, "metadata": {"match_method": "map", "num_predictions": 27, "num_ground_truth": 32, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8415841460227966, "attempts": 1, "retries": 0, "total_seconds": 10.3186}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 5, "image": "oil-tank-detection_oiltank_9_jpg.rf.acb372553a5f5f447313e4035eef562f.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [117, 100, 232, 200], \"label\": \"oil tank\"},\n {\"box_2d\": [113, 234, 226, 333], \"label\": \"oil tank\"},\n {\"box_2d\": [109, 364, 222, 467], \"label\": \"oil tank\"},\n {\"box_2d\": [100, 495, 213, 601], \"label\": \"oil tank\"},\n {\"box_2d\": [96, 629, 213, 731], \"label\": \"oil tank\"},\n {\"box_2d\": [90, 761, 207, 868], \"label\": \"oil tank\"},\n {\"box_2d\": [270, 99, 386, 206], \"label\": \"oil tank\"},\n {\"box_2d\": [266, 234, 381, 339], \"label\": \"oil tank\"},\n {\"box_2d\": [259, 368, 376, 471], \"label\": \"oil tank\"},\n {\"box_2d\": [251, 504, 368, 606], \"label\": \"oil tank\"},\n {\"box_2d\": [244, 636, 366, 737], \"label\": \"oil tank\"},\n {\"box_2d\": [238, 767, 361, 875], \"label\": \"oil tank\"},\n {\"box_2d\": [482, 99, 606, 207], \"label\": \"oil tank\"},\n {\"box_2d\": [478, 236, 599, 345], \"label\": \"oil tank\"},\n {\"box_2d\": [471, 371, 595, 480], \"label\": \"oil tank\"},\n {\"box_2d\": [468, 505, 588, 613], \"label\": \"oil tank\"},\n {\"box_2d\": [459, 643, 583, 750], \"label\": \"oil tank\"},\n {\"box_2d\": [623, 370, 750, 483], \"label\": \"oil tank\"},\n {\"box_2d\": [621, 510, 744, 620], \"label\": \"oil tank\"},\n {\"box_2d\": [616, 649, 738, 758], \"label\": \"oil tank\"}\n]\n```", "correct": true, "input_tokens": 1217, "output_tokens": 708, "elapsed_seconds": 9.245831083040684, "metadata": {"match_method": "map", "num_predictions": 20, "num_ground_truth": 20, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 9.3253}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 6, "image": "signatures_image_38_png_jpg.rf.1d9c4bd922f8563e58275de808cd3984.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [363, 748, 412, 929], \"label\": \"signature\"},\n {\"box_2d\": [860, 761, 916, 949], \"label\": \"signature\"},\n {\"box_2d\": [442, 646, 469, 703], \"label\": \"signature\"},\n {\"box_2d\": [953, 634, 982, 694], \"label\": \"signature\"}\n]\n```", "correct": true, "input_tokens": 1211, "output_tokens": 148, "elapsed_seconds": 4.57983120798599, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 4.6096}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 7, "image": "1704193901210_jpg.rf.2395376f26cee29d85e60b22c59c37b4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [578, 261, 638, 305], \"label\": \"corn kernel\"},\n {\"box_2d\": [406, 314, 475, 370], \"label\": \"corn kernel\"},\n {\"box_2d\": [542, 425, 589, 488], \"label\": \"corn kernel\"},\n {\"box_2d\": [266, 409, 327, 469], \"label\": \"corn kernel\"},\n {\"box_2d\": [309, 525, 353, 597], \"label\": \"corn kernel\"},\n {\"box_2d\": [416, 617, 477, 681], \"label\": \"corn kernel\"},\n {\"box_2d\": [530, 653, 583, 725], \"label\": \"corn kernel\"},\n {\"box_2d\": [617, 562, 677, 608], \"label\": \"corn kernel\"},\n {\"box_2d\": [609, 747, 658, 806], \"label\": \"corn kernel\"},\n {\"box_2d\": [512, 767, 578, 811], \"label\": \"corn kernel\"},\n {\"box_2d\": [455, 783, 502, 845], \"label\": \"corn kernel\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 397, "elapsed_seconds": 9.092870749998838, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 9.114}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 8, "image": "IMG_0620_jpeg.rf.0c9c3b0a23079483a0b0e1651801d9a9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [288, 382, 369, 475], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [280, 511, 377, 584], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [284, 581, 391, 645], \"label\": \"caramel corn jelly bean\"},\n {\"box_2d\": [381, 510, 487, 594], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [397, 388, 501, 481], \"label\": \"peach jelly bean\"},\n {\"box_2d\": [377, 265, 491, 330], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [507, 331, 641, 413], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [489, 512, 613, 594], \"label\": \"peach jelly bean\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 315, "elapsed_seconds": 5.658139707986265, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 5.7076}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 9, "image": "paper-parts_163482_102_jpg.rf.d878bfe8193ad78ee6e9bd012ea9324e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [93, 118, 108, 573], \"label\": \"subsection\"},\n {\"box_2d\": [128, 118, 141, 708], \"label\": \"paragraph\"},\n {\"box_2d\": [191, 323, 344, 676], \"label\": \"figure\"},\n {\"box_2d\": [369, 341, 383, 658], \"label\": \"figure caption\"},\n {\"box_2d\": [432, 118, 447, 493], \"label\": \"subsection\"},\n {\"box_2d\": [467, 118, 512, 862], \"label\": \"paragraph\"},\n {\"box_2d\": [530, 333, 565, 666], \"label\": \"equation\"},\n {\"box_2d\": [581, 422, 608, 577], \"label\": \"equation\"},\n {\"box_2d\": [624, 118, 637, 613], \"label\": \"paragraph\"},\n {\"box_2d\": [655, 338, 691, 662], \"label\": \"equation\"},\n {\"box_2d\": [706, 431, 734, 569], \"label\": \"equation\"},\n {\"box_2d\": [749, 118, 762, 547], \"label\": \"paragraph\"},\n {\"box_2d\": [780, 328, 816, 671], \"label\": \"equation\"},\n {\"box_2d\": [831, 431, 859, 569], \"label\": \"equation\"},\n {\"box_2d\": [923, 491, 937, 509], \"label\": \"page number\"}\n]\n```", "correct": true, "input_tokens": 1250, "output_tokens": 523, "elapsed_seconds": 6.793920750031248, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 14, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8440593481063843, "attempts": 1, "retries": 0, "total_seconds": 6.836}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 10, "image": "20210325_203432_jpg.rf.8eb2129f7a101d085f4cb925da755682.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [702, 200, 882, 382], \"label\": \"5 euro cent coin\"},\n {\"box_2d\": [650, 540, 868, 760], \"label\": \"2 euro coin\"},\n {\"box_2d\": [537, 417, 675, 554], \"label\": \"1 euro cent coin\"},\n {\"box_2d\": [332, 659, 521, 848], \"label\": \"20 euro cent coin\"},\n {\"box_2d\": [290, 460, 456, 628], \"label\": \"10 euro cent coin\"},\n {\"box_2d\": [376, 159, 575, 360], \"label\": \"1 euro coin\"},\n {\"box_2d\": [103, 273, 309, 479], \"label\": \"50 euro cent coin\"},\n {\"box_2d\": [134, 612, 293, 773], \"label\": \"2 euro cent coin\"}\n]\n```", "correct": true, "input_tokens": 1272, "output_tokens": 309, "elapsed_seconds": 5.597140417085029, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 5.6269}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 11, "image": "2024-12-05T02-01-20-119Z-4010_jpg.rf.4f789285ff5c3a1889420326440bc9d1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [457, 451, 616, 571], \"label\": \"screw\"},\n {\"box_2d\": [829, 699, 907, 757], \"label\": \"screw\"}\n]\n```", "correct": false, "input_tokens": 1203, "output_tokens": 80, "elapsed_seconds": 4.836399291991256, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.08415841311216354, "attempts": 1, "retries": 0, "total_seconds": 5.0494}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 12, "image": "Container-146_jpg.rf.1f5b3bfa7143f6b016b2b85ca3940e5c.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [160, 611, 203, 916], \"label\": \"shipping container number\"},\n {\"box_2d\": [213, 750, 250, 824], \"label\": \"container ISO type code\"}\n]\n```", "correct": true, "input_tokens": 1232, "output_tokens": 85, "elapsed_seconds": 3.189490083954297, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 3.2063}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 13, "image": "GP010248_JPG_jpg.rf.c2ac2602f1905971af1173c3ba311542.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [556, 473, 661, 672], \"label\": \"carrot\"},\n {\"box_2d\": [469, 28, 712, 144], \"label\": \"carrot\"},\n {\"box_2d\": [367, 41, 520, 148], \"label\": \"carrot\"},\n {\"box_2d\": [402, 119, 673, 189], \"label\": \"carrot\"},\n {\"box_2d\": [478, 188, 683, 275], \"label\": \"carrot\"},\n {\"box_2d\": [447, 223, 681, 330], \"label\": \"carrot\"},\n {\"box_2d\": [495, 264, 666, 366], \"label\": \"carrot\"},\n {\"box_2d\": [512, 341, 681, 380], \"label\": \"carrot\"},\n {\"box_2d\": [427, 375, 612, 414], \"label\": \"carrot\"},\n {\"box_2d\": [388, 367, 672, 453], \"label\": \"carrot\"},\n {\"box_2d\": [633, 281, 719, 472], \"label\": \"carrot\"},\n {\"box_2d\": [377, 142, 439, 339], \"label\": \"carrot\"},\n {\"box_2d\": [347, 117, 386, 359], \"label\": \"carrot\"},\n {\"box_2d\": [291, 181, 353, 412], \"label\": \"carrot\"},\n {\"box_2d\": [270, 281, 306, 455], \"label\": \"carrot\"},\n {\"box_2d\": [230, 305, 284, 495], \"label\": \"carrot\"},\n {\"box_2d\": [345, 228, 488, 441], \"label\": \"carrot\"},\n {\"box_2d\": [378, 441, 444, 619], \"label\": \"carrot\"},\n {\"box_2d\": [353, 483, 414, 681], \"label\": \"carrot\"},\n {\"box_2d\": [336, 545, 367, 717], \"label\": \"carrot\"},\n {\"box_2d\": [306, 472, 336, 684], \"label\": \"carrot\"},\n {\"box_2d\": [219, 616, 330, 761], \"label\": \"carrot\"},\n {\"box_2d\": [244, 756, 475, 825], \"label\": \"carrot\"},\n {\"box_2d\": [420, 661, 548, 795], \"label\": \"carrot\"},\n {\"box_2d\": [441, 567, 588, 711], \"label\": \"carrot\"},\n {\"box_2d\": [495, 450, 580, 597], \"label\": \"carrot\"},\n {\"box_2d\": [528, 453, 614, 570], \"label\": \"carrot\"},\n {\"box_2d\": [648, 419, 694, 584], \"label\": \"carrot\"},\n {\"box_2d\": [606, 570, 650, 716], \"label\": \"carrot\"},\n {\"box_2d\": [538, 709, 644, 847], \"label\": \"carrot\"},\n {\"box_2d\": [352, 792, 581, 930], \"label\": \"carrot\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 1064, "elapsed_seconds": 11.092777333920822, "metadata": {"match_method": "map", "num_predictions": 31, "num_ground_truth": 31, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 11.1198}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 14, "image": "DJI_20230529095953_0646_T_JPG_jpg.rf.9806615efd3123cda770b6e1a3358930.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [588, 371, 603, 381], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [578, 461, 595, 473], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [573, 507, 591, 517], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [559, 642, 578, 651], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [557, 687, 572, 697], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [928, 860, 943, 871], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [930, 817, 947, 827], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [178, 667, 196, 678], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [182, 622, 199, 632], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [224, 148, 241, 159], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [235, 61, 248, 70], \"label\": \"solar panel hot spot\"}\n]\n```", "correct": false, "input_tokens": 1228, "output_tokens": 417, "elapsed_seconds": 5.6236911659361795, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5643564462661743, "attempts": 1, "retries": 0, "total_seconds": 5.6483}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 15, "image": "floorplan-windows-doors_1036_png.rf.377e8848ebf77a1b3fd4e54e9aaa327d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [771, 368, 845, 452], \"label\": \"door\"},\n {\"box_2d\": [773, 150, 789, 290], \"label\": \"window\"},\n {\"box_2d\": [447, 211, 505, 290], \"label\": \"door\"},\n {\"box_2d\": [166, 300, 186, 355], \"label\": \"window\"},\n {\"box_2d\": [164, 102, 185, 241], \"label\": \"window\"},\n {\"box_2d\": [109, 366, 250, 449], \"label\": \"door\"},\n {\"box_2d\": [168, 576, 187, 621], \"label\": \"window\"},\n {\"box_2d\": [171, 777, 190, 830], \"label\": \"window\"},\n {\"box_2d\": [117, 842, 256, 926], \"label\": \"door\"},\n {\"box_2d\": [323, 703, 383, 849], \"label\": \"door\"},\n {\"box_2d\": [332, 588, 381, 643], \"label\": \"door\"},\n {\"box_2d\": [498, 675, 557, 756], \"label\": \"door\"},\n {\"box_2d\": [556, 686, 616, 759], \"label\": \"door\"},\n {\"box_2d\": [776, 730, 794, 846], \"label\": \"window\"},\n {\"box_2d\": [772, 574, 790, 620], \"label\": \"window\"}\n]\n```", "correct": false, "input_tokens": 1211, "output_tokens": 522, "elapsed_seconds": 7.243849250022322, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 19, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7766088843345642, "attempts": 1, "retries": 0, "total_seconds": 7.3114}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 16, "image": "IMG_4942_JPG.rf.2d54601c43bd5fdd67c9d6de8428a9ef.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [298, 531, 315, 537], \"label\": \"face\"},\n {\"box_2d\": [300, 557, 316, 563], \"label\": \"face\"},\n {\"box_2d\": [301, 613, 319, 621], \"label\": \"face\"},\n {\"box_2d\": [298, 640, 316, 649], \"label\": \"face\"},\n {\"box_2d\": [336, 661, 353, 670], \"label\": \"face\"},\n {\"box_2d\": [349, 694, 366, 703], \"label\": \"face\"},\n {\"box_2d\": [356, 735, 371, 742], \"label\": \"face\"},\n {\"box_2d\": [363, 756, 378, 764], \"label\": \"face\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 284, "elapsed_seconds": 165.3144504999509, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 9, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7178217768669128, "attempts": 1, "retries": 0, "total_seconds": 165.7992}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 17, "image": "4103433_ContLeftUpper_f_jpg.rf.c38c0a22d926bfd30646b27374a1f854.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [278, 179, 412, 203], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [254, 102, 415, 124], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [253, 339, 415, 360], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [324, 260, 415, 281], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [391, 418, 416, 440], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [437, 696, 466, 716], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [592, 165, 623, 204], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [585, 84, 621, 126], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [471, 24, 513, 47], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [266, 37, 307, 63], \"label\": \"shipping container wall dent\"}\n]\n```", "correct": false, "input_tokens": 1224, "output_tokens": 377, "elapsed_seconds": 10.624535000068136, "metadata": {"match_method": "map", "num_predictions": 10, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.28069308400154114, "attempts": 1, "retries": 0, "total_seconds": 10.7587}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 18, "image": "a9f16c_8_1_png_jpg.rf.21f65c07fc1fd4b937623a9b2c4bf919.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [274, 325, 307, 336], \"label\": \"player\"},\n {\"box_2d\": [393, 21, 440, 39], \"label\": \"goalkeeper\"},\n {\"box_2d\": [341, 297, 377, 308], \"label\": \"player\"},\n {\"box_2d\": [344, 272, 383, 283], \"label\": \"player\"},\n {\"box_2d\": [417, 232, 460, 245], \"label\": \"player\"},\n {\"box_2d\": [423, 288, 463, 303], \"label\": \"player\"},\n {\"box_2d\": [406, 403, 446, 417], \"label\": \"referee\"},\n {\"box_2d\": [443, 403, 491, 419], \"label\": \"player\"},\n {\"box_2d\": [501, 513, 553, 526], \"label\": \"player\"},\n {\"box_2d\": [422, 525, 471, 533], \"label\": \"player\"},\n {\"box_2d\": [373, 534, 414, 545], \"label\": \"player\"},\n {\"box_2d\": [308, 450, 348, 459], \"label\": \"player\"},\n {\"box_2d\": [306, 468, 342, 477], \"label\": \"player\"},\n {\"box_2d\": [340, 730, 377, 739], \"label\": \"player\"},\n {\"box_2d\": [340, 978, 384, 991], \"label\": \"goalkeeper\"},\n {\"box_2d\": [474, 206, 524, 226], \"label\": \"player\"},\n {\"box_2d\": [553, 190, 603, 215], \"label\": \"player\"},\n {\"box_2d\": [540, 206, 588, 227], \"label\": \"player\"},\n {\"box_2d\": [644, 279, 709, 299], \"label\": \"player\"},\n {\"box_2d\": [820, 280, 892, 302], \"label\": \"player\"},\n {\"box_2d\": [592, 560, 654, 584], \"label\": \"player\"},\n {\"box_2d\": [644, 560, 656, 566], \"label\": \"football\"},\n {\"box_2d\": [854, 956, 938, 979], \"label\": \"referee\"}\n]\n```", "correct": true, "input_tokens": 1242, "output_tokens": 796, "elapsed_seconds": 10.756447624997236, "metadata": {"match_method": "map", "num_predictions": 23, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8910890817642212, "attempts": 1, "retries": 0, "total_seconds": 10.877}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 19, "image": "20230220_113558_jpg.rf.d5df52cc566f78f19b292c4a237d076c.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [761, 439, 956, 456], \"label\": \"crack\"}\n]\n```", "correct": false, "input_tokens": 1225, "output_tokens": 46, "elapsed_seconds": 2.959393333992921, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 2.9808}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 20, "image": "frame_0277_jpg.rf.c6aa8dac950a9954eaaa15c2c1350db2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [858, 217, 938, 263], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [869, 494, 916, 537], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [606, 437, 676, 481], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [540, 554, 623, 591], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [451, 586, 509, 623], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [458, 676, 513, 710], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [332, 657, 389, 689], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [211, 640, 276, 672], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [209, 530, 270, 570], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [311, 546, 363, 577], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [357, 587, 398, 610], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [404, 466, 466, 506], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [333, 456, 408, 489], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [256, 370, 322, 406], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [168, 433, 222, 466], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [51, 430, 123, 463], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [32, 527, 94, 559], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [96, 628, 148, 658], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [33, 360, 84, 391], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [63, 270, 114, 296], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [136, 247, 192, 286], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [283, 239, 353, 280], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [443, 228, 521, 268], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [337, 90, 403, 132], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [196, 129, 256, 174], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [11, 130, 64, 169], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [631, 688, 662, 731], \"label\": \"garlic on conveyor\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 974, "elapsed_seconds": 16.05829941597767, "metadata": {"match_method": "map", "num_predictions": 27, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.977264404296875, "attempts": 1, "retries": 0, "total_seconds": 16.1944}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 21, "image": "construction-safety_ppe_0034_jpg.rf.38e91c4daafe26a0be27d2c1133af960.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [309, 134, 355, 182], \"label\": \"safety helmet\"},\n {\"box_2d\": [468, 646, 658, 728], \"label\": \"safety vest\"},\n {\"box_2d\": [392, 629, 910, 731], \"label\": \"person\"},\n {\"box_2d\": [447, 549, 687, 646], \"label\": \"safety vest\"},\n {\"box_2d\": [454, 195, 672, 289], \"label\": \"safety vest\"},\n {\"box_2d\": [387, 290, 917, 386], \"label\": \"person\"},\n {\"box_2d\": [309, 77, 922, 200], \"label\": \"person\"},\n {\"box_2d\": [339, 804, 910, 922], \"label\": \"person\"},\n {\"box_2d\": [373, 569, 412, 610], \"label\": \"safety helmet\"},\n {\"box_2d\": [385, 321, 435, 367], \"label\": \"safety helmet\"},\n {\"box_2d\": [392, 660, 439, 703], \"label\": \"safety helmet\"},\n {\"box_2d\": [410, 499, 459, 544], \"label\": \"safety helmet\"},\n {\"box_2d\": [474, 290, 674, 382], \"label\": \"safety vest\"},\n {\"box_2d\": [373, 194, 917, 300], \"label\": \"person\"},\n {\"box_2d\": [366, 735, 408, 778], \"label\": \"safety helmet\"},\n {\"box_2d\": [371, 543, 906, 648], \"label\": \"person\"},\n {\"box_2d\": [383, 416, 433, 459], \"label\": \"safety helmet\"},\n {\"box_2d\": [383, 391, 908, 488], \"label\": \"person\"},\n {\"box_2d\": [401, 97, 610, 194], \"label\": \"safety vest\"},\n {\"box_2d\": [498, 484, 706, 558], \"label\": \"safety vest\"},\n {\"box_2d\": [410, 479, 906, 560], \"label\": \"person\"},\n {\"box_2d\": [373, 224, 421, 273], \"label\": \"safety helmet\"},\n {\"box_2d\": [416, 825, 624, 911], \"label\": \"safety vest\"},\n {\"box_2d\": [461, 390, 718, 486], \"label\": \"safety vest\"},\n {\"box_2d\": [365, 705, 912, 820], \"label\": \"person\"},\n {\"box_2d\": [451, 718, 642, 813], \"label\": \"safety vest\"},\n {\"box_2d\": [339, 832, 383, 876], \"label\": \"safety helmet\"}\n]\n```", "correct": true, "input_tokens": 1222, "output_tokens": 946, "elapsed_seconds": 11.333254417055286, "metadata": {"match_method": "map", "num_predictions": 27, "num_ground_truth": 27, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 11.3771}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 22, "image": "2024-12-05T02-00-55-647Z-1001_jpg.rf.c0a64fec0c1e44672b8338dc3d88f40e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [592, 307, 734, 404], \"label\": \"wire hole\"},\n {\"box_2d\": [267, 675, 340, 731], \"label\": \"screw\"},\n {\"box_2d\": [521, 677, 594, 735], \"label\": \"screw\"},\n {\"box_2d\": [430, 536, 502, 593], \"label\": \"cable screw\"}\n]\n```", "correct": false, "input_tokens": 1206, "output_tokens": 150, "elapsed_seconds": 17.895470540970564, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6666666269302368, "attempts": 1, "retries": 0, "total_seconds": 18.2049}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 23, "image": "uav20221018_ixfZ_3857_391_png.rf.363cfc1a99bee6043b1535d35e5cf8f5.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [757, 793, 810, 839], \"label\": \"banana tree\"},\n {\"box_2d\": [715, 801, 761, 845], \"label\": \"banana tree\"},\n {\"box_2d\": [753, 749, 787, 786], \"label\": \"banana tree\"},\n {\"box_2d\": [676, 738, 725, 790], \"label\": \"banana tree\"},\n {\"box_2d\": [649, 798, 690, 843], \"label\": \"banana tree\"},\n {\"box_2d\": [612, 745, 653, 786], \"label\": \"banana tree\"},\n {\"box_2d\": [581, 792, 629, 840], \"label\": \"banana tree\"},\n {\"box_2d\": [546, 742, 586, 788], \"label\": \"banana tree\"},\n {\"box_2d\": [504, 800, 551, 831], \"label\": \"banana tree\"},\n {\"box_2d\": [476, 738, 521, 779], \"label\": \"banana tree\"},\n {\"box_2d\": [434, 794, 482, 840], \"label\": \"banana tree\"},\n {\"box_2d\": [405, 742, 449, 782], \"label\": \"banana tree\"},\n {\"box_2d\": [368, 794, 415, 830], \"label\": \"banana tree\"},\n {\"box_2d\": [341, 735, 381, 778], \"label\": \"banana tree\"},\n {\"box_2d\": [306, 798, 344, 834], \"label\": \"banana tree\"},\n {\"box_2d\": [269, 737, 309, 772], \"label\": \"banana tree\"},\n {\"box_2d\": [232, 797, 274, 833], \"label\": \"banana tree\"},\n {\"box_2d\": [199, 735, 232, 772], \"label\": \"banana tree\"},\n {\"box_2d\": [161, 789, 206, 829], \"label\": \"banana tree\"},\n {\"box_2d\": [130, 735, 174, 774], \"label\": \"banana tree\"},\n {\"box_2d\": [88, 795, 134, 830], \"label\": \"banana tree\"},\n {\"box_2d\": [60, 725, 102, 770], \"label\": \"banana tree\"},\n {\"box_2d\": [18, 791, 66, 831], \"label\": \"banana tree\"},\n {\"box_2d\": [0, 730, 32, 772], \"label\": \"banana tree\"},\n {\"box_2d\": [410, 544, 451, 588], \"label\": \"banana tree\"},\n {\"box_2d\": [437, 496, 480, 534], \"label\": \"banana tree\"},\n {\"box_2d\": [371, 494, 414, 545], \"label\": \"banana tree\"},\n {\"box_2d\": [340, 548, 378, 591], \"label\": \"banana tree\"},\n {\"box_2d\": [300, 498, 344, 535], \"label\": \"banana tree\"},\n {\"box_2d\": [273, 546, 312, 580], \"label\": \"banana tree\"},\n {\"box_2d\": [228, 492, 276, 536], \"label\": \"banana tree\"},\n {\"box_2d\": [194, 539, 246, 586], \"label\": \"banana tree\"},\n {\"box_2d\": [155, 495, 205, 537], \"label\": \"banana tree\"},\n {\"box_2d\": [127, 553, 169, 590], \"label\": \"banana tree\"},\n {\"box_2d\": [63, 554, 98, 584], \"label\": \"banana tree\"},\n {\"box_2d\": [24, 500, 62, 537], \"label\": \"banana tree\"},\n {\"box_2d\": [72, 246, 111, 281], \"label\": \"banana tree\"},\n {\"box_2d\": [32, 300, 72, 336], \"label\": \"banana tree\"},\n {\"box_2d\": [1, 242, 46, 290], \"label\": \"banana tree\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 1360, "elapsed_seconds": 16.04265979200136, "metadata": {"match_method": "map", "num_predictions": 39, "num_ground_truth": 43, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9009901285171509, "attempts": 1, "retries": 0, "total_seconds": 16.1459}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 24, "image": "fabric-defect_511_jpg.rf.c9746a1a958e01686335a4e0e7bec57c.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [417, 402, 571, 484], \"label\": \"fabric cut\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 47, "elapsed_seconds": 3.4816622500075027, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 3.4949}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 25, "image": "z4517190691608_e13e5a7742dfd1e1497d7f34e43b9a19_jpg.rf.53f3adf34b3bcf75125b6512855911b0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [757, 656, 916, 853], \"label\": \"50 poker chip\"},\n {\"box_2d\": [733, 454, 888, 646], \"label\": \"50 poker chip\"},\n {\"box_2d\": [663, 294, 809, 479], \"label\": \"20 poker chip\"},\n {\"box_2d\": [592, 150, 729, 329], \"label\": \"50 poker chip\"},\n {\"box_2d\": [526, 309, 658, 485], \"label\": \"10 poker chip\"},\n {\"box_2d\": [584, 483, 723, 665], \"label\": \"20 poker chip\"},\n {\"box_2d\": [615, 718, 757, 907], \"label\": \"500 poker chip\"},\n {\"box_2d\": [494, 636, 626, 817], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [460, 459, 586, 631], \"label\": \"20 poker chip\"},\n {\"box_2d\": [433, 206, 555, 375], \"label\": \"100 poker chip\"},\n {\"box_2d\": [346, 111, 463, 276], \"label\": \"100 poker chip\"},\n {\"box_2d\": [373, 353, 489, 518], \"label\": \"20 poker chip\"},\n {\"box_2d\": [349, 517, 467, 683], \"label\": \"20 poker chip\"},\n {\"box_2d\": [298, 672, 415, 840], \"label\": \"50 poker chip\"},\n {\"box_2d\": [191, 648, 298, 809], \"label\": \"20 poker chip\"},\n {\"box_2d\": [244, 481, 354, 641], \"label\": \"10 poker chip\"},\n {\"box_2d\": [280, 275, 390, 434], \"label\": \"500 poker chip\"},\n {\"box_2d\": [195, 169, 302, 325], \"label\": \"5 poker chip\"},\n {\"box_2d\": [186, 350, 293, 506], \"label\": \"5 poker chip\"},\n {\"box_2d\": [129, 485, 233, 640], \"label\": \"5 poker chip\"},\n {\"box_2d\": [92, 327, 193, 477], \"label\": \"5 poker chip\"},\n {\"box_2d\": [430, 824, 557, 1000], \"label\": \"5000 poker chip\"}\n]\n```", "correct": true, "input_tokens": 1251, "output_tokens": 830, "elapsed_seconds": 16.557566292001866, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 16.8542}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 26, "image": "floorplan-windows-doors_10156_png.rf.46b4865a81b54b57dfa53b894c0a0632.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [254, 240, 272, 299], \"label\": \"window\"},\n {\"box_2d\": [210, 297, 323, 359], \"label\": \"door\"},\n {\"box_2d\": [255, 369, 273, 474], \"label\": \"window\"},\n {\"box_2d\": [254, 646, 272, 749], \"label\": \"window\"},\n {\"box_2d\": [255, 816, 277, 860], \"label\": \"window\"},\n {\"box_2d\": [393, 811, 431, 853], \"label\": \"door\"},\n {\"box_2d\": [450, 743, 507, 804], \"label\": \"door\"},\n {\"box_2d\": [530, 752, 576, 804], \"label\": \"door\"},\n {\"box_2d\": [624, 742, 681, 801], \"label\": \"door\"},\n {\"box_2d\": [820, 647, 836, 750], \"label\": \"window\"},\n {\"box_2d\": [820, 783, 836, 843], \"label\": \"window\"},\n {\"box_2d\": [820, 391, 836, 491], \"label\": \"window\"},\n {\"box_2d\": [819, 297, 886, 358], \"label\": \"door\"},\n {\"box_2d\": [733, 297, 795, 359], \"label\": \"door\"},\n {\"box_2d\": [696, 236, 742, 281], \"label\": \"door\"},\n {\"box_2d\": [914, 263, 967, 329], \"label\": \"door\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 556, "elapsed_seconds": 11.747289708000608, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 17, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9504950642585754, "attempts": 1, "retries": 0, "total_seconds": 11.8098}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 27, "image": "fabric-defect_323_jpg.rf.371f41f855eb62c4f2068f1bac0ca297.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [76, 591, 134, 639], \"label\": \"fabric cut\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 46, "elapsed_seconds": 3.441199583001435, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 3.4529}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 28, "image": "54_png.rf.e797ccd3ab1732fcc95dc8f12eac1e73.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [199, 79, 303, 136], \"label\": \"not gate symbol\"},\n {\"box_2d\": [199, 179, 303, 236], \"label\": \"not gate symbol\"},\n {\"box_2d\": [199, 279, 303, 336], \"label\": \"not gate symbol\"},\n {\"box_2d\": [199, 379, 303, 437], \"label\": \"not gate symbol\"},\n {\"box_2d\": [311, 513, 432, 613], \"label\": \"and gate symbol\"},\n {\"box_2d\": [453, 513, 574, 613], \"label\": \"and gate symbol\"},\n {\"box_2d\": [595, 513, 716, 613], \"label\": \"and gate symbol\"},\n {\"box_2d\": [737, 513, 858, 613], \"label\": \"and gate symbol\"},\n {\"box_2d\": [381, 660, 504, 758], \"label\": \"or gate symbol\"},\n {\"box_2d\": [665, 659, 788, 758], \"label\": \"or gate symbol\"},\n {\"box_2d\": [523, 804, 646, 904], \"label\": \"and gate symbol\"}\n]\n```", "correct": true, "input_tokens": 1212, "output_tokens": 407, "elapsed_seconds": 5.523059375002049, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 5.5286}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 29, "image": "IMG_3802_JPG.rf.a7e888d2c6d99ef929355eb2fffb322e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [232, 415, 250, 424], \"label\": \"face\"},\n {\"box_2d\": [254, 499, 270, 506], \"label\": \"face\"},\n {\"box_2d\": [306, 338, 326, 348], \"label\": \"face\"},\n {\"box_2d\": [315, 361, 333, 371], \"label\": \"face\"},\n {\"box_2d\": [438, 524, 469, 537], \"label\": \"face\"},\n {\"box_2d\": [482, 439, 511, 452], \"label\": \"face\"},\n {\"box_2d\": [471, 381, 505, 396], \"label\": \"face\"},\n {\"box_2d\": [240, 441, 255, 448], \"label\": \"face\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 284, "elapsed_seconds": 48.28346516599413, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7227723002433777, "attempts": 1, "retries": 0, "total_seconds": 48.7756}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 30, "image": "DJI_20230529112019_0221_T_JPG_jpg.rf.8e72d3393da7d92494fccfb7bb75bfc8.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [72, 162, 173, 211], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [78, 198, 179, 250], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [166, 623, 267, 675], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [173, 667, 273, 716], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [181, 708, 281, 756], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [206, 830, 306, 878], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [103, 798, 202, 850], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [111, 841, 211, 889], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [520, 620, 620, 669], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [530, 661, 628, 709], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [538, 702, 636, 752], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [545, 744, 644, 792], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [553, 784, 652, 833], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [855, 500, 956, 548], \"label\": \"solar panel hot spot\"}\n]\n```", "correct": false, "input_tokens": 1228, "output_tokens": 528, "elapsed_seconds": 6.146370333037339, "metadata": {"match_method": "map", "num_predictions": 14, "num_ground_truth": 17, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 6.1684}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 31, "image": "Atlantic_2025_NCPT-189_JPG_jpg.rf.7a382ad19f3061fc65305d93b2678aef.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [777, 331, 864, 369], \"label\": \"potato\"},\n {\"box_2d\": [116, 297, 183, 323], \"label\": \"potato\"},\n {\"box_2d\": [723, 281, 833, 321], \"label\": \"potato\"},\n {\"box_2d\": [101, 421, 199, 459], \"label\": \"potato\"},\n {\"box_2d\": [133, 336, 217, 370], \"label\": \"potato\"},\n {\"box_2d\": [123, 734, 183, 761], \"label\": \"potato\"},\n {\"box_2d\": [213, 408, 324, 459], \"label\": \"potato\"},\n {\"box_2d\": [283, 374, 389, 413], \"label\": \"potato\"},\n {\"box_2d\": [80, 472, 155, 502], \"label\": \"potato\"},\n {\"box_2d\": [468, 500, 577, 545], \"label\": \"potato\"},\n {\"box_2d\": [13, 300, 77, 326], \"label\": \"potato\"},\n {\"box_2d\": [146, 639, 250, 681], \"label\": \"potato\"},\n {\"box_2d\": [865, 506, 952, 538], \"label\": \"potato\"},\n {\"box_2d\": [656, 289, 725, 316], \"label\": \"potato\"},\n {\"box_2d\": [749, 419, 829, 449], \"label\": \"potato\"},\n {\"box_2d\": [254, 511, 361, 552], \"label\": \"potato\"},\n {\"box_2d\": [397, 380, 482, 415], \"label\": \"potato\"},\n {\"box_2d\": [6, 517, 74, 546], \"label\": \"potato\"},\n {\"box_2d\": [72, 512, 146, 546], \"label\": \"potato\"},\n {\"box_2d\": [8, 339, 93, 371], \"label\": \"potato\"},\n {\"box_2d\": [316, 426, 384, 455], \"label\": \"potato\"},\n {\"box_2d\": [230, 384, 290, 409], \"label\": \"potato\"},\n {\"box_2d\": [196, 551, 292, 592], \"label\": \"potato\"},\n {\"box_2d\": [356, 511, 446, 546], \"label\": \"potato\"},\n {\"box_2d\": [6, 606, 80, 634], \"label\": \"potato\"},\n {\"box_2d\": [918, 417, 1000, 453], \"label\": \"potato\"},\n {\"box_2d\": [435, 338, 502, 364], \"label\": \"potato\"},\n {\"box_2d\": [757, 373, 842, 409], \"label\": \"potato\"},\n {\"box_2d\": [573, 508, 685, 552], \"label\": \"potato\"},\n {\"box_2d\": [480, 551, 570, 587], \"label\": \"potato\"},\n {\"box_2d\": [477, 375, 571, 410], \"label\": \"potato\"},\n {\"box_2d\": [548, 284, 650, 329], \"label\": \"potato\"},\n {\"box_2d\": [210, 688, 316, 725], \"label\": \"potato\"},\n {\"box_2d\": [155, 466, 267, 509], \"label\": \"potato\"},\n {\"box_2d\": [456, 466, 545, 497], \"label\": \"potato\"},\n {\"box_2d\": [586, 463, 680, 499], \"label\": \"potato\"},\n {\"box_2d\": [736, 591, 835, 627], \"label\": \"potato\"},\n {\"box_2d\": [618, 333, 687, 363], \"label\": \"potato\"},\n {\"box_2d\": [6, 472, 85, 505], \"label\": \"potato\"},\n {\"box_2d\": [689, 336, 761, 363], \"label\": \"potato\"},\n {\"box_2d\": [117, 599, 219, 640], \"label\": \"potato\"},\n {\"box_2d\": [266, 646, 334, 675], \"label\": \"potato\"},\n {\"box_2d\": [368, 550, 485, 605], \"label\": \"potato\"},\n {\"box_2d\": [21, 385, 108, 417], \"label\": \"potato\"},\n {\"box_2d\": [128, 251, 217, 287], \"label\": \"potato\"},\n {\"box_2d\": [835, 288, 896, 315], \"label\": \"potato\"},\n {\"box_2d\": [214, 340, 280, 367], \"label\": \"potato\"},\n {\"box_2d\": [364, 463, 453, 502], \"label\": \"potato\"},\n {\"box_2d\": [845, 461, 926, 494], \"label\": \"potato\"},\n {\"box_2d\": [6, 426, 85, 460], \"label\": \"potato\"},\n {\"box_2d\": [290, 557, 367, 590], \"label\": \"potato\"},\n {\"box_2d\": [314, 680, 430, 726], \"label\": \"potato\"},\n {\"box_2d\": [399, 414, 511, 458], \"label\": \"potato\"},\n {\"box_2d\": [96, 685, 176, 721], \"label\": \"potato\"},\n {\"box_2d\": [501, 329, 610, 372], \"label\": \"potato\"},\n {\"box_2d\": [144, 513, 245, 547], \"label\": \"potato\"},\n {\"box_2d\": [508, 597, 614, 637], \"label\": \"potato\"},\n {\"box_2d\": [663, 551, 771, 594], \"label\": \"potato\"},\n {\"box_2d\": [159, 383, 232, 416], \"label\": \"potato\"},\n {\"box_2d\": [689, 680, 793, 718], \"label\": \"potato\"},\n {\"box_2d\": [581, 372, 669, 412], \"label\": \"potato\"},\n {\"box_2d\": [341, 336, 439, 371], \"label\": \"potato\"},\n {\"box_2d\": [266, 464, 367, 505], \"label\": \"potato\"},\n {\"box_2d\": [377, 600, 474, 639], \"label\": \"potato\"},\n {\"box_2d\": [580, 415, 689, 456], \"label\": \"potato\"},\n {\"box_2d\": [23, 729, 117, 770], \"label\": \"potato\"},\n {\"box_2d\": [692, 466, 754, 492], \"label\": \"potato\"},\n {\"box_2d\": [445, 289, 533, 325], \"label\": \"potato\"},\n {\"box_2d\": [302, 731, 383, 763], \"label\": \"potato\"},\n {\"box_2d\": [443, 724, 535, 763], \"label\": \"potato\"},\n {\"box_2d\": [352, 285, 447, 329], \"label\": \"potato\"},\n {\"box_2d\": [480, 635, 600, 677], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 2439, "elapsed_seconds": 172.3177694999613, "metadata": {"match_method": "map", "num_predictions": 72, "num_ground_truth": 72, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 173.0241}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 32, "image": "V000078_0_0_jpeg_jpg.rf.ea93b54e17810ab845506f60bf69b7dd.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [799, 92, 968, 956], \"label\": \"technical drawing table\"},\n {\"box_2d\": [162, 342, 211, 444], \"label\": \"surface roughness symbol\"},\n {\"box_2d\": [123, 643, 187, 716], \"label\": \"dimension annotation\"},\n {\"box_2d\": [149, 757, 255, 928], \"label\": \"dimension annotation\"},\n {\"box_2d\": [324, 691, 383, 779], \"label\": \"dimension annotation\"},\n {\"box_2d\": [268, 169, 323, 232], \"label\": \"dimension annotation\"},\n {\"box_2d\": [275, 235, 322, 434], \"label\": \"dimension annotation\"},\n {\"box_2d\": [288, 431, 322, 483], \"label\": \"dimension annotation\"},\n {\"box_2d\": [288, 488, 322, 566], \"label\": \"dimension annotation\"},\n {\"box_2d\": [268, 167, 369, 483], \"label\": \"dimension annotation\"},\n {\"box_2d\": [336, 481, 369, 554], \"label\": \"dimension annotation\"},\n {\"box_2d\": [441, 134, 487, 239], \"label\": \"dimension annotation\"},\n {\"box_2d\": [440, 238, 487, 297], \"label\": \"dimension annotation\"},\n {\"box_2d\": [440, 491, 466, 602], \"label\": \"dimension annotation\"},\n {\"box_2d\": [493, 125, 531, 166], \"label\": \"dimension annotation\"},\n {\"box_2d\": [493, 181, 584, 217], \"label\": \"dimension annotation\"},\n {\"box_2d\": [478, 297, 577, 333], \"label\": \"dimension annotation\"},\n {\"box_2d\": [468, 565, 556, 629], \"label\": \"dimension annotation\"}\n]\n```", "correct": false, "input_tokens": 1237, "output_tokens": 643, "elapsed_seconds": 29.034496249980293, "metadata": {"match_method": "map", "num_predictions": 18, "num_ground_truth": 18, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.666666567325592, "attempts": 1, "retries": 0, "total_seconds": 29.0503}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 33, "image": "1226_8_jpg.rf.ca0a21572938b5c31e601cfcbf119e1e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [20, 20, 117, 117], \"label\": \"black rook\"},\n {\"box_2d\": [0, 139, 94, 245], \"label\": \"black knight\"},\n {\"box_2d\": [36, 265, 134, 355], \"label\": \"black bishop\"},\n {\"box_2d\": [9, 403, 128, 491], \"label\": \"black king\"},\n {\"box_2d\": [8, 533, 127, 620], \"label\": \"black queen\"},\n {\"box_2d\": [19, 899, 116, 1000], \"label\": \"black rook\"},\n {\"box_2d\": [141, 45, 214, 121], \"label\": \"black pawn\"},\n {\"box_2d\": [163, 652, 234, 723], \"label\": \"black pawn\"},\n {\"box_2d\": [169, 765, 240, 839], \"label\": \"black pawn\"},\n {\"box_2d\": [178, 914, 250, 996], \"label\": \"black pawn\"},\n {\"box_2d\": [281, 289, 351, 358], \"label\": \"black pawn\"},\n {\"box_2d\": [286, 399, 374, 488], \"label\": \"black bishop\"},\n {\"box_2d\": [426, 539, 496, 608], \"label\": \"black pawn\"},\n {\"box_2d\": [410, 895, 490, 1000], \"label\": \"black knight\"},\n {\"box_2d\": [523, 294, 594, 365], \"label\": \"white pawn\"},\n {\"box_2d\": [553, 760, 623, 834], \"label\": \"white pawn\"},\n {\"box_2d\": [643, 401, 714, 471], \"label\": \"white pawn\"},\n {\"box_2d\": [631, 641, 711, 745], \"label\": \"white knight\"},\n {\"box_2d\": [757, 57, 830, 132], \"label\": \"white pawn\"},\n {\"box_2d\": [767, 171, 840, 243], \"label\": \"white pawn\"},\n {\"box_2d\": [788, 642, 860, 713], \"label\": \"white pawn\"},\n {\"box_2d\": [774, 892, 846, 972], \"label\": \"white pawn\"},\n {\"box_2d\": [869, 39, 968, 134], \"label\": \"white rook\"},\n {\"box_2d\": [866, 133, 956, 237], \"label\": \"white knight\"},\n {\"box_2d\": [871, 283, 974, 373], \"label\": \"white bishop\"},\n {\"box_2d\": [866, 410, 988, 499], \"label\": \"white king\"},\n {\"box_2d\": [866, 533, 988, 621], \"label\": \"white queen\"},\n {\"box_2d\": [870, 655, 972, 745], \"label\": \"white bishop\"},\n {\"box_2d\": [879, 887, 977, 990], \"label\": \"white rook\"}\n]\n```", "correct": true, "input_tokens": 1259, "output_tokens": 1015, "elapsed_seconds": 41.74019037501421, "metadata": {"match_method": "map", "num_predictions": 29, "num_ground_truth": 29, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 42.0166}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 34, "image": "1218_18_jpg.rf.8c844a918f3bbbea9bc4a4e8bb703b7d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [134, 6, 223, 104], \"label\": \"white rook\"},\n {\"box_2d\": [32, 520, 132, 608], \"label\": \"black bishop\"},\n {\"box_2d\": [254, 257, 342, 346], \"label\": \"black knight\"},\n {\"box_2d\": [258, 632, 351, 718], \"label\": \"white knight\"},\n {\"box_2d\": [264, 876, 358, 1000], \"label\": \"white queen\"},\n {\"box_2d\": [378, 5, 464, 118], \"label\": \"black queen\"},\n {\"box_2d\": [508, 0, 597, 118], \"label\": \"white king\"},\n {\"box_2d\": [513, 278, 602, 367], \"label\": \"white bishop\"},\n {\"box_2d\": [518, 524, 606, 610], \"label\": \"black king\"},\n {\"box_2d\": [535, 766, 605, 839], \"label\": \"white pawn\"},\n {\"box_2d\": [628, 390, 707, 478], \"label\": \"black knight\"},\n {\"box_2d\": [637, 522, 718, 602], \"label\": \"white rook\"},\n {\"box_2d\": [641, 884, 720, 995], \"label\": \"white knight\"},\n {\"box_2d\": [746, 140, 849, 245], \"label\": \"white queen\"},\n {\"box_2d\": [769, 642, 843, 714], \"label\": \"black pawn\"},\n {\"box_2d\": [765, 768, 853, 859], \"label\": \"black rook\"},\n {\"box_2d\": [888, 405, 968, 480], \"label\": \"white pawn\"},\n {\"box_2d\": [882, 762, 1000, 871], \"label\": \"black queen\"}\n]\n```", "correct": true, "input_tokens": 1259, "output_tokens": 637, "elapsed_seconds": 79.19435320794582, "metadata": {"match_method": "map", "num_predictions": 18, "num_ground_truth": 18, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 79.469}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 35, "image": "42ba34_3_4_png_jpg.rf.963d6715a391a3a2fee3176cace44325.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [375, 0, 417, 10], \"label\": \"goalkeeper\"},\n {\"box_2d\": [676, 152, 740, 171], \"label\": \"player\"},\n {\"box_2d\": [581, 234, 638, 248], \"label\": \"player\"},\n {\"box_2d\": [517, 281, 571, 294], \"label\": \"player\"},\n {\"box_2d\": [494, 265, 546, 275], \"label\": \"player\"},\n {\"box_2d\": [351, 250, 391, 259], \"label\": \"player\"},\n {\"box_2d\": [356, 257, 394, 267], \"label\": \"player\"},\n {\"box_2d\": [301, 282, 336, 290], \"label\": \"player\"},\n {\"box_2d\": [294, 318, 331, 326], \"label\": \"player\"},\n {\"box_2d\": [283, 405, 317, 414], \"label\": \"player\"},\n {\"box_2d\": [401, 350, 447, 359], \"label\": \"referee\"},\n {\"box_2d\": [360, 434, 400, 443], \"label\": \"player\"},\n {\"box_2d\": [332, 463, 372, 474], \"label\": \"player\"},\n {\"box_2d\": [244, 491, 274, 498], \"label\": \"referee\"},\n {\"box_2d\": [353, 587, 393, 595], \"label\": \"player\"},\n {\"box_2d\": [294, 691, 332, 699], \"label\": \"player\"},\n {\"box_2d\": [352, 914, 388, 926], \"label\": \"goalkeeper\"},\n {\"box_2d\": [425, 804, 470, 814], \"label\": \"player\"},\n {\"box_2d\": [454, 722, 502, 735], \"label\": \"player\"},\n {\"box_2d\": [468, 677, 519, 689], \"label\": \"player\"},\n {\"box_2d\": [529, 606, 583, 619], \"label\": \"player\"},\n {\"box_2d\": [540, 583, 595, 595], \"label\": \"player\"},\n {\"box_2d\": [489, 563, 540, 575], \"label\": \"player\"},\n {\"box_2d\": [637, 956, 694, 978], \"label\": \"referee\"}\n]\n```", "correct": false, "input_tokens": 1242, "output_tokens": 830, "elapsed_seconds": 18.473246917012148, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6262376308441162, "attempts": 1, "retries": 0, "total_seconds": 18.603}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 36, "image": "170567v_JPG_jpg.rf.b4ec6b9d23ca24e31da874cd6f035dfa.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [568, 608, 697, 667], \"label\": \"cracked insulator\"},\n {\"box_2d\": [553, 574, 650, 632], \"label\": \"cracked insulator\"},\n {\"box_2d\": [540, 537, 668, 595], \"label\": \"cracked insulator\"},\n {\"box_2d\": [526, 513, 653, 560], \"label\": \"cracked insulator\"},\n {\"box_2d\": [502, 447, 619, 495], \"label\": \"cracked insulator\"},\n {\"box_2d\": [489, 405, 616, 461], \"label\": \"cracked insulator\"}\n]\n```", "correct": true, "input_tokens": 1244, "output_tokens": 228, "elapsed_seconds": 43.795380665920675, "metadata": {"match_method": "map", "num_predictions": 6, "num_ground_truth": 6, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 44.3369}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 37, "image": "wood-log-detection_092_png_jpg.rf.b7bfbb1ba7a477ea02f5974fce28583e.jpg", "expected": "", "predicted": "```json\n[{\"box_2d\": [770, 266, 845, 319], \"label\": \"log cross-section\"}, {\"box_2d\": [781, 358, 845, 405], \"label\": \"log cross-section\"}, {\"box_2d\": [742, 391, 809, 439], \"label\": \"log cross-section\"}, {\"box_2d\": [844, 266, 895, 297], \"label\": \"log cross-section\"}, {\"box_2d\": [828, 300, 912, 362], \"label\": \"log cross-section\"}, {\"box_2d\": [845, 364, 908, 403], \"label\": \"log cross-section\"}, {\"box_2d\": [834, 402, 898, 444], \"label\": \"log cross-section\"}, {\"box_2d\": [873, 431, 909, 456], \"label\": \"log cross-section\"}, {\"box_2d\": [875, 453, 916, 478], \"label\": \"log cross-section\"}, {\"box_2d\": [827, 467, 916, 528], \"label\": \"log cross-section\"}, {\"box_2d\": [759, 475, 830, 527], \"label\": \"log cross-section\"}, {\"box_2d\": [806, 520, 858, 558], \"label\": \"log cross-section\"}, {\"box_2d\": [758, 525, 814, 561], \"label\": \"log cross-section\"}, {\"box_2d\": [827, 552, 869, 570], \"label\": \"log cross-section\"}, {\"box_2d\": [847, 556, 916, 605], \"label\": \"log cross-section\"}, {\"box_2d\": [827, 600, 891, 642], \"label\": \"log cross-section\"}, {\"box_2d\": [731, 581, 830, 648], \"label\": \"log cross-section\"}, {\"box_2d\": [680, 464, 767, 533], \"label\": \"log cross-section\"}, {\"box_2d\": [694, 425, 756, 466], \"label\": \"log cross-section\"}, {\"box_2d\": [752, 355, 791, 381], \"label\": \"log cross-section\"}, {\"box_2d\": [712, 312, 780, 366], \"label\": \"log cross-section\"}, {\"box_2d\": [680, 266, 753, 314], \"label\": \"log cross-section\"}, {\"box_2d\": [695, 366, 761, 405], \"label\": \"log cross-section\"}, {\"box_2d\": [672, 397, 738, 434], \"label\": \"log cross-section\"}, {\"box_2d\": [644, 444, 697, 483], \"label\": \"log cross-section\"}, {\"box_2d\": [639, 362, 697, 406], \"label\": \"log cross-section\"}, {\"box_2d\": [641, 309, 711, 355], \"label\": \"log cross-section\"}, {\"box_2d\": [650, 272, 688, 300], \"label\": \"log cross-section\"}, {\"box_2d\": [588, 273, 656, 323], \"label\": \"log cross-section\"}, {\"box_2d\": [578, 320, 647, 369], \"label\": \"log cross-section\"}, {\"box_2d\": [575, 369, 645, 422], \"label\": \"log cross-section\"}, {\"box_2d\": [533, 333, 594, 381], \"label\": \"log cross-section\"}, {\"box_2d\": [553, 261, 600, 300], \"label\": \"log cross-section\"}, {\"box_2d\": [494, 267, 569, 323], \"label\": \"log cross-section\"}, {\"box_2d\": [505, 323, 550, 353], \"label\": \"log cross-section\"}, {\"box_2d\": [506, 372, 577, 423], \"label\": \"log cross-section\"}, {\"box_2d\": [469, 403, 523, 441], \"label\": \"log cross-section\"}, {\"box_2d\": [442, 369, 494, 408], \"label\": \"log cross-section\"}, {\"box_2d\": [425, 273, 495, 327], \"label\": \"log cross-section\"}, {\"box_2d\": [392, 308, 445, 352], \"label\": \"log cross-section\"}, {\"box_2d\": [345, 266, 398, 306], \"label\": \"log cross-section\"}, {\"box_2d\": [298, 262, 347, 303], \"label\": \"log cross-section\"}, {\"box_2d\": [234, 259, 302, 311], \"label\": \"log cross-section\"}, {\"box_2d\": [270, 314, 347, 378], \"label\": \"log cross-section\"}, {\"box_2d\": [153, 258, 236, 316], \"label\": \"log cross-section\"}, {\"box_2d\": [125, 214, 169, 248], \"label\": \"log cross-section\"}, {\"box_2d\": [109, 277, 159, 319], \"label\": \"log cross-section\"}, {\"box_2d\": [97, 320, 144, 355], \"label\": \"log cross-section\"}, {\"box_2d\": [36, 338, 97, 388], \"label\": \"log cross-section\"}, {\"box_2d\": [91, 383, 138, 420], \"label\": \"log cross-section\"}, {\"box_2d\": [142, 352, 211, 402], \"label\": \"log cross-section\"}, {\"box_2d\": [123, 431, 161, 456], \"label\": \"log cross-section\"}, {\"box_2d\": [150, 436, 214, 475], \"label\": \"log cross-section\"}, {\"box_2d\": [100, 466, 148, 498], \"label\": \"log cross-section\"}, {\"box_2d\": [138, 502, 189, 539], \"label\": \"log cross-section\"}, {\"box_2d\": [69, 531, 144, 586], \"label\": \"log cross-section\"}, {\"box_2d\": [83, 628, 127, 658], \"label\": \"log cross-section\"}, {\"box_2d\": [112, 584, 162, 622], \"label\": \"log cross-section\"}, {\"box_2d\": [148, 533, 217, 586], \"label\": \"log cross-section\"}, {\"box_2d\": [169, 583, 222, 620], \"label\": \"log cross-section\"}, {\"box_2d\": [114, 655, 161, 688], \"label\": \"log cross-section\"}, {\"box_2d\": [161, 631, 227, 681], \"label\": \"log cross-section\"}, {\"box_2d\": [138, 678, 222, 744], \"label\": \"log cross-section\"}, {\"box_2d\": [162, 742, 206, 775], \"label\": \"log cross-section\"}, {\"box_2d\": [161, 780, 209, 811], \"label\": \"log cross-section\"}, {\"box_2d\": [166, 808, 228, 850], \"label\": \"log cross-section\"}, {\"box_2d\": [222, 825, 272, 862], \"label\": \"log cross-section\"}, {\"box_2d\": [256, 767, 305, 817], \"label\": \"log cross-section\"}, {\"box_2d\": [295, 791, 356, 839], \"label\": \"log cross-section\"}, {\"box_2d\": [319, 731, 378, 773], \"label\": \"log cross-section\"}, {\"box_2d\": [306, 680, 381, 733], \"label\": \"log cross-section\"}, {\"box_2d\": [244, 639, 314, 695], \"label\": \"log cross-section\"}, {\"box_2d\": [219, 603, 281, 645], \"label\": \"log cross-section\"}, {\"box_2d\": [211, 558, 273, 605], \"label\": \"log cross-section\"}, {\"box_2d\": [266, 567, 336, 625], \"label\": \"log cross-section\"}, {\"box_2d\": [178, 495, 236, 536], \"label\": \"log cross-section\"}, {\"box_2d\": [208, 520, 255, 553], \"label\": \"log cross-section\"}, {\"box_2d\": [227, 359, 288, 408], \"label\": \"log cross-section\"}, {\"box_2d\": [273, 395, 323, 431], \"label\": \"log cross-section\"}, {\"box_2d\": [272, 430, 336, 473], \"label\": \"log cross-section\"}, {\"box_2d\": [230, 448, 286, 491], \"label\": \"log cross-section\"}, {\"box_2d\": [267, 488, 320, 528], \"label\": \"log cross-section\"}, {\"box_2d\": [317, 459, 392, 514], \"label\": \"log cross-section\"}, {\"box_2d\": [328, 384, 386, 425], \"label\": \"log cross-section\"}, {\"box_2d\": [362, 352, 417, 389], \"label\": \"log cross-section\"}, {\"box_2d\": [397, 380, 452, 417], \"label\": \"log cross-section\"}, {\"box_2d\": [422, 406, 473, 445], \"label\": \"log cross-section\"}, {\"box_2d\": [423, 447, 484, 492], \"label\": \"log cross-section\"}, {\"box_2d\": [423, 495, 481, 539], \"label\": \"log cross-section\"}, {\"box_2d\": [391, 556, 452, 603], \"label\": \"log cross-section\"}, {\"box_2d\": [387, 522, 439, 559], \"label\": \"log cross-section\"}, {\"box_2d\": [387, 639, 445, 686], \"label\": \"log cross-section\"}, {\"box_2d\": [367, 716, 420, 756], \"label\": \"log cross-section\"}, {\"box_2d\": [356, 764, 430, 822], \"label\": \"log cross-section\"}, {\"box_2d\": [416, 689, 473, 738], \"label\": \"log cross-section\"}, {\"box_2d\": [464, 744, 538, 800], \"label\": \"log cross-section\"}, {\"box_2d\": [508, 708, 572, 766], \"label\": \"log cross-section\"}, {\"box_2d\": [506, 628, 566, 675], \"label\": \"log cross-section\"}, {\"box_2d\": [489, 577, 545, 622], \"label\": \"log cross-section\"}, {\"box_2d\": [508, 536, 584, 588], \"label\": \"log cross-section\"}, {\"box_2d\": [481, 448, 552, 503], \"label\": \"log cross-section\"}, {\"box_2d\": [525, 417, 588, 459], \"label\": \"log cross-section\"}, {\"box_2d\": [550, 450, 627, 505], \"label\": \"log cross-section\"}, {\"box_2d\": [562, 508, 622, 552], \"label\": \"log cross-section\"}, {\"box_2d\": [573, 569, 639, 620], \"label\": \"log cross-section\"}, {\"box_2d\": [602, 533, 658, 575], \"label\": \"log cross-section\"}, {\"box_2d\": [644, 514, 703, 556], \"label\": \"log cross-section\"}, {\"box_2d\": [692, 534, 766, 589], \"label\": \"log cross-section\"}, {\"box_2d\": [673, 583, 731, 627], \"label\": \"log cross-section\"}, {\"box_2d\": [606, 616, 669, 666], \"label\": \"log cross-section\"}, {\"box_2d\": [562, 698, 614, 738], \"label\": \"log cross-section\"}, {\"box_2d\": [578, 733, 642, 783], \"label\": \"log cross-section\"}, {\"box_2d\": [575, 780, 638, 834], \"label\": \"log cross-section\"}, {\"box_2d\": [628, 744, 709, 808], \"label\": \"log cross-section\"}, {\"box_2d\": [686, 725, 741, 770], \"label\": \"log cross-section\"}, {\"box_2d\": [739, 730, 817, 791], \"label\": \"log cross-section\"}, {\"box_2d\": [798, 662, 870, 712], \"label\": \"log cross-section\"}, {\"box_2d\": [802, 628, 870, 670], \"label\": \"log cross-section\"}, {\"box_2d\": [748, 647, 811, 691], \"label\": \"log cross-section\"}, {\"box_2d\": [712, 670, 764, 709], \"label\": \"log cross-section\"}, {\"box_2d\": [705, 625, 756, 667], \"label\": \"log cross-section\"}]\n```", "correct": false, "input_tokens": 1228, "output_tokens": 4238, "elapsed_seconds": 57.02705683396198, "metadata": {"match_method": "map", "num_predictions": 121, "num_ground_truth": 206, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.4470086395740509, "attempts": 1, "retries": 0, "total_seconds": 57.0537}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 38, "image": "DJI_20230529111632_0087_T_JPG_jpg.rf.a0bcf6f9fb3a8158bd511491a1f333d9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [631, 681, 645, 694], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [525, 756, 536, 767], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [536, 594, 548, 603], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [264, 886, 275, 895], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [267, 845, 278, 855], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [261, 969, 272, 978], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [262, 927, 273, 938], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [647, 477, 658, 486], \"label\": \"solar panel hot spot\"}\n]\n```", "correct": false, "input_tokens": 1228, "output_tokens": 308, "elapsed_seconds": 10.54131195798982, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 9, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.11881186813116074, "attempts": 1, "retries": 0, "total_seconds": 10.5646}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 39, "image": "IMG_20260128_081648_jpg.rf.195a895d6fe7552e4b9d0fc4e44e0f46.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [618, 76, 725, 151], \"label\": \"white standard price tag\"},\n {\"box_2d\": [624, 150, 722, 236], \"label\": \"white standard price tag\"},\n {\"box_2d\": [624, 235, 727, 290], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [625, 290, 724, 370], \"label\": \"white standard price tag\"},\n {\"box_2d\": [627, 369, 726, 421], \"label\": \"white standard price tag\"},\n {\"box_2d\": [626, 421, 725, 492], \"label\": \"white standard price tag\"},\n {\"box_2d\": [626, 492, 727, 569], \"label\": \"white standard price tag\"},\n {\"box_2d\": [626, 569, 726, 639], \"label\": \"white standard price tag\"},\n {\"box_2d\": [619, 636, 951, 734], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [617, 712, 952, 804], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [633, 855, 729, 932], \"label\": \"white standard price tag\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 418, "elapsed_seconds": 160.62847387499642, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 161.1091}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 40, "image": "m4_tire_2024-10-17_18_png_jpg.rf.b3da826931757f1612878ecf9680a260.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [92, 300, 179, 519], \"label\": \"tire size text\"},\n {\"box_2d\": [708, 217, 774, 267], \"label\": \"tire size text\"},\n {\"box_2d\": [886, 535, 956, 718], \"label\": \"tire size text\"}\n]\n```", "correct": false, "input_tokens": 1226, "output_tokens": 119, "elapsed_seconds": 22.46010775002651, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5544553995132446, "attempts": 1, "retries": 0, "total_seconds": 22.8392}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 41, "image": "IMG_3864_JPG.rf.85dd012a4824e9d1050c085dd0a2e519.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [559, 41, 648, 168], \"label\": \"10000 poker chip\"},\n {\"box_2d\": [467, 98, 545, 217], \"label\": \"500 poker chip\"},\n {\"box_2d\": [607, 131, 703, 263], \"label\": \"500 poker chip\"},\n {\"box_2d\": [522, 218, 608, 343], \"label\": \"500 poker chip\"},\n {\"box_2d\": [350, 224, 419, 333], \"label\": \"100 poker chip\"},\n {\"box_2d\": [430, 286, 507, 402], \"label\": \"500 poker chip\"},\n {\"box_2d\": [361, 398, 429, 506], \"label\": \"500 poker chip\"},\n {\"box_2d\": [429, 402, 505, 516], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [441, 514, 519, 631], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [405, 612, 479, 728], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [447, 707, 526, 830], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [426, 819, 504, 944], \"label\": \"100 poker chip\"},\n {\"box_2d\": [512, 779, 601, 912], \"label\": \"100 poker chip\"},\n {\"box_2d\": [516, 650, 602, 780], \"label\": \"500 poker chip\"},\n {\"box_2d\": [529, 525, 618, 654], \"label\": \"500 poker chip\"},\n {\"box_2d\": [518, 399, 604, 524], \"label\": \"500 poker chip\"},\n {\"box_2d\": [575, 298, 669, 430], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [601, 420, 697, 553], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [662, 239, 766, 381], \"label\": \"500 poker chip\"},\n {\"box_2d\": [676, 495, 784, 639], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [675, 636, 783, 780], \"label\": \"500 poker chip\"},\n {\"box_2d\": [594, 706, 691, 847], \"label\": \"100 poker chip\"},\n {\"box_2d\": [685, 796, 796, 948], \"label\": \"1000 poker chip\"}\n]\n```", "correct": true, "input_tokens": 1229, "output_tokens": 894, "elapsed_seconds": 76.1451554580126, "metadata": {"match_method": "map", "num_predictions": 23, "num_ground_truth": 24, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9702969789505005, "attempts": 1, "retries": 0, "total_seconds": 76.9822}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 42, "image": "1217_2_jpg.rf.e0a2a15bcd44d66668e689fd59ca61fe.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [767, 159, 855, 250], \"label\": \"black bishop\"},\n {\"box_2d\": [2, 908, 86, 989], \"label\": \"black pawn\"},\n {\"box_2d\": [746, 745, 853, 854], \"label\": \"black king\"},\n {\"box_2d\": [27, 139, 128, 236], \"label\": \"white bishop\"},\n {\"box_2d\": [525, 275, 596, 346], \"label\": \"black pawn\"},\n {\"box_2d\": [2, 400, 125, 488], \"label\": \"white queen\"},\n {\"box_2d\": [546, 0, 624, 113], \"label\": \"black knight\"},\n {\"box_2d\": [397, 639, 476, 728], \"label\": \"white knight\"},\n {\"box_2d\": [179, 764, 255, 839], \"label\": \"white pawn\"},\n {\"box_2d\": [433, 901, 504, 978], \"label\": \"white pawn\"},\n {\"box_2d\": [287, 386, 358, 456], \"label\": \"black pawn\"},\n {\"box_2d\": [411, 25, 482, 108], \"label\": \"white pawn\"},\n {\"box_2d\": [285, 154, 358, 229], \"label\": \"white pawn\"},\n {\"box_2d\": [309, 869, 382, 949], \"label\": \"black pawn\"},\n {\"box_2d\": [387, 507, 473, 596], \"label\": \"black bishop\"},\n {\"box_2d\": [888, 882, 999, 999], \"label\": \"black queen\"},\n {\"box_2d\": [650, 878, 720, 954], \"label\": \"white pawn\"},\n {\"box_2d\": [149, 646, 224, 719], \"label\": \"white pawn\"},\n {\"box_2d\": [513, 124, 597, 231], \"label\": \"black queen\"},\n {\"box_2d\": [898, 641, 994, 722], \"label\": \"black rook\"},\n {\"box_2d\": [651, 631, 742, 721], \"label\": \"white queen\"},\n {\"box_2d\": [425, 768, 503, 870], \"label\": \"black knight\"},\n {\"box_2d\": [406, 298, 476, 370], \"label\": \"white pawn\"},\n {\"box_2d\": [517, 399, 597, 480], \"label\": \"white rook\"},\n {\"box_2d\": [761, 16, 845, 114], \"label\": \"white rook\"},\n {\"box_2d\": [881, 400, 974, 480], \"label\": \"black rook\"},\n {\"box_2d\": [781, 398, 855, 469], \"label\": \"black pawn\"},\n {\"box_2d\": [273, 625, 361, 716], \"label\": \"white bishop\"},\n {\"box_2d\": [899, 3, 996, 113], \"label\": \"white knight\"},\n {\"box_2d\": [171, 18, 243, 97], \"label\": \"black pawn\"},\n {\"box_2d\": [558, 608, 631, 680], \"label\": \"white pawn\"},\n {\"box_2d\": [5, 507, 130, 600], \"label\": \"white king\"}\n]\n```", "correct": true, "input_tokens": 1259, "output_tokens": 1116, "elapsed_seconds": 69.82556570798624, "metadata": {"match_method": "map", "num_predictions": 32, "num_ground_truth": 32, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 70.111}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 43, "image": "fabric-defect_904_jpg.rf.1cf391ad7827c3f000e3c8ea35472e5d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [401, 459, 509, 535], \"label\": \"fabric cut\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 47, "elapsed_seconds": 30.279212582972832, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 30.3054}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 44, "image": "20210325_204058_jpg.rf.29e7808c087a71e473dd9c19badaff2c.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [148, 430, 366, 645], \"label\": \"50 euro cent coin\"},\n {\"box_2d\": [256, 62, 444, 248], \"label\": \"5 euro cent coin\"},\n {\"box_2d\": [345, 267, 575, 498], \"label\": \"2 euro coin\"},\n {\"box_2d\": [500, 511, 645, 658], \"label\": \"1 euro cent coin\"},\n {\"box_2d\": [366, 645, 533, 816], \"label\": \"2 euro cent coin\"},\n {\"box_2d\": [606, 150, 808, 352], \"label\": \"20 euro cent coin\"},\n {\"box_2d\": [702, 439, 914, 650], \"label\": \"1 euro coin\"},\n {\"box_2d\": [562, 691, 744, 875], \"label\": \"10 euro cent coin\"}\n]\n```", "correct": true, "input_tokens": 1272, "output_tokens": 308, "elapsed_seconds": 18.07599945901893, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 18.1001}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 45, "image": "9999942_00000_d_0000135_jpg.rf.52553444f2adb8d7ba245527bc1de4b5.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [546, 535, 590, 603], \"label\": \"car\"},\n {\"box_2d\": [607, 519, 650, 591], \"label\": \"car\"},\n {\"box_2d\": [607, 673, 646, 722], \"label\": \"car\"},\n {\"box_2d\": [572, 372, 633, 449], \"label\": \"car\"},\n {\"box_2d\": [471, 463, 491, 474], \"label\": \"person\"},\n {\"box_2d\": [482, 471, 502, 480], \"label\": \"person\"},\n {\"box_2d\": [478, 449, 498, 459], \"label\": \"person\"},\n {\"box_2d\": [530, 271, 548, 290], \"label\": \"motorcycle\"},\n {\"box_2d\": [691, 102, 792, 160], \"label\": \"car\"},\n {\"box_2d\": [812, 136, 926, 185], \"label\": \"car\"},\n {\"box_2d\": [524, 9, 570, 77], \"label\": \"van\"},\n {\"box_2d\": [504, 54, 528, 75], \"label\": \"person\"},\n {\"box_2d\": [468, 82, 489, 102], \"label\": \"person\"},\n {\"box_2d\": [400, 58, 422, 74], \"label\": \"person\"},\n {\"box_2d\": [414, 71, 434, 91], \"label\": \"person\"},\n {\"box_2d\": [319, 174, 379, 204], \"label\": \"car\"},\n {\"box_2d\": [384, 151, 434, 184], \"label\": \"car\"},\n {\"box_2d\": [238, 373, 336, 412], \"label\": \"truck\"},\n {\"box_2d\": [133, 392, 200, 422], \"label\": \"car\"},\n {\"box_2d\": [188, 269, 259, 302], \"label\": \"car\"},\n {\"box_2d\": [238, 125, 304, 181], \"label\": \"car\"},\n {\"box_2d\": [92, 282, 170, 315], \"label\": \"van\"},\n {\"box_2d\": [158, 167, 193, 211], \"label\": \"car\"},\n {\"box_2d\": [126, 169, 164, 230], \"label\": \"car\"},\n {\"box_2d\": [95, 171, 131, 230], \"label\": \"car\"},\n {\"box_2d\": [0, 191, 36, 256], \"label\": \"van\"},\n {\"box_2d\": [44, 239, 103, 267], \"label\": \"car\"},\n {\"box_2d\": [28, 294, 93, 323], \"label\": \"car\"},\n {\"box_2d\": [0, 308, 23, 333], \"label\": \"car\"},\n {\"box_2d\": [0, 381, 41, 404], \"label\": \"van\"},\n {\"box_2d\": [20, 406, 78, 432], \"label\": \"car\"},\n {\"box_2d\": [110, 246, 140, 261], \"label\": \"person\"},\n {\"box_2d\": [109, 349, 138, 361], \"label\": \"person\"},\n {\"box_2d\": [120, 350, 143, 361], \"label\": \"bike\"}\n]\n```", "correct": false, "input_tokens": 1215, "output_tokens": 1142, "elapsed_seconds": 18.165083874948323, "metadata": {"match_method": "map", "num_predictions": 34, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.29965054988861084, "attempts": 1, "retries": 0, "total_seconds": 18.2794}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 46, "image": "tire_2024-09-25_27_png_jpg.rf.86e579b04ca3a3e9f7a480c31239539e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [77, 274, 161, 471], \"label\": \"tire size text\"},\n {\"box_2d\": [892, 470, 954, 678], \"label\": \"tire size text\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 83, "elapsed_seconds": 23.97154825006146, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6633663177490234, "attempts": 1, "retries": 0, "total_seconds": 24.4965}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 47, "image": "Container-144_jpg.rf.4f556fc57071dc9d870c03989b923d26.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [283, 558, 306, 607], \"label\": \"container ISO type code\"},\n {\"box_2d\": [251, 556, 275, 734], \"label\": \"shipping container number\"}\n]\n```", "correct": true, "input_tokens": 1232, "output_tokens": 85, "elapsed_seconds": 24.55679050006438, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 24.6002}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 48, "image": "frame_0151_jpg.rf.6c7fef6c392aec746239d36e4257e862.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [779, 581, 847, 621], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [473, 675, 534, 709], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [349, 648, 405, 681], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [417, 569, 484, 606], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [265, 538, 321, 574], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [166, 532, 224, 567], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [493, 466, 557, 502], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [275, 444, 344, 483], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [199, 442, 257, 476], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [114, 427, 173, 459], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [639, 369, 712, 409], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [578, 365, 646, 406], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [339, 333, 407, 371], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [216, 339, 282, 376], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [110, 335, 168, 370], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [138, 238, 204, 279], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [293, 248, 356, 286], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [502, 254, 572, 297], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [468, 206, 529, 245], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [720, 237, 799, 282], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [895, 238, 960, 287], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [786, 68, 871, 131], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [618, 86, 697, 132], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [427, 83, 501, 139], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [301, 117, 366, 161], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [130, 128, 196, 172], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 348, 49, 381], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [5, 381, 46, 409], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [5, 415, 49, 444], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [15, 443, 54, 469], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 514, 49, 546], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [26, 550, 77, 582], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 611, 56, 636], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 252, 43, 283], \"label\": \"garlic on conveyor\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 1211, "elapsed_seconds": 18.450531875016168, "metadata": {"match_method": "map", "num_predictions": 34, "num_ground_truth": 27, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9938119053840637, "attempts": 1, "retries": 0, "total_seconds": 18.5894}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 49, "image": "4106884_ContLeftUpper_f_jpg.rf.92488d92926163302f246be3b53efb13.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [230, 17, 260, 44], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [219, 100, 262, 127], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [224, 179, 263, 206], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [232, 255, 265, 282], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [238, 336, 264, 362], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [235, 417, 263, 443], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [236, 493, 262, 517], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [240, 571, 262, 597], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [243, 650, 263, 676], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [399, 200, 456, 245], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [411, 297, 452, 323], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [422, 379, 450, 405], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [520, 67, 548, 89], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [521, 145, 550, 169], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [525, 223, 552, 244], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [529, 303, 551, 323], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [529, 382, 550, 403], \"label\": \"shipping container wall dent\"}\n]\n```", "correct": false, "input_tokens": 1219, "output_tokens": 637, "elapsed_seconds": 28.292883082991466, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.37871286273002625, "attempts": 1, "retries": 0, "total_seconds": 28.4578}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 50, "image": "img_459031286691397716_png.rf.6de9abc735878b2b2cc1f1fa95486a5f.jpg", "expected": "", "predicted": "```json\n[{\"box_2d\": [39, 166, 178, 303], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [128, 148, 258, 290], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [221, 130, 353, 281], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [324, 104, 463, 267], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [436, 79, 576, 253], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [560, 48, 699, 240], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [699, 17, 839, 224], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [841, 0, 1000, 198], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [9, 299, 129, 430], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [96, 287, 217, 425], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [187, 275, 310, 420], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [283, 259, 417, 412], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [391, 246, 526, 405], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [512, 226, 650, 396], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [649, 208, 787, 386], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [789, 181, 944, 374], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [48, 420, 165, 554], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [134, 414, 250, 555], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [229, 408, 353, 555], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [332, 396, 462, 548], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [444, 393, 577, 552], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [567, 375, 703, 544], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [705, 369, 845, 549], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [847, 354, 1000, 545], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [13, 547, 136, 678], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [99, 545, 214, 682], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [190, 542, 311, 686], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [288, 538, 423, 689], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [397, 539, 531, 697], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [517, 533, 652, 700], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [649, 534, 789, 710], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [791, 532, 944, 718], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [50, 673, 181, 805], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [137, 676, 267, 815], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [231, 679, 365, 825], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [333, 679, 469, 837], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [447, 685, 581, 853], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [573, 687, 709, 867], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [709, 699, 849, 886], \"label\": \"empty portable gas cylinder\"},\n{\"box_2d\": [852, 708, 1000, 913], \"label\": \"empty portable gas cylinder\"}]```", "correct": true, "input_tokens": 1203, "output_tokens": 1437, "elapsed_seconds": 67.47091066697612, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 40, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 67.584}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 51, "image": "1668147211__jpg.rf.0ee3d637cd990a070a8c1bcc234c9d5a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [53, 648, 111, 681], \"label\": \"six die\"},\n {\"box_2d\": [88, 673, 151, 707], \"label\": \"three die\"},\n {\"box_2d\": [149, 769, 206, 802], \"label\": \"two die\"},\n {\"box_2d\": [283, 739, 340, 770], \"label\": \"three die\"},\n {\"box_2d\": [287, 870, 341, 902], \"label\": \"five die\"},\n {\"box_2d\": [427, 806, 479, 836], \"label\": \"two die\"},\n {\"box_2d\": [478, 862, 534, 895], \"label\": \"one die\"},\n {\"box_2d\": [504, 799, 562, 833], \"label\": \"four die\"},\n {\"box_2d\": [506, 842, 562, 875], \"label\": \"four die\"},\n {\"box_2d\": [584, 797, 636, 829], \"label\": \"two die\"},\n {\"box_2d\": [599, 838, 648, 867], \"label\": \"one die\"},\n {\"box_2d\": [652, 800, 710, 833], \"label\": \"four die\"},\n {\"box_2d\": [649, 833, 701, 863], \"label\": \"two die\"},\n {\"box_2d\": [600, 878, 660, 912], \"label\": \"two die\"},\n {\"box_2d\": [107, 243, 165, 274], \"label\": \"three die\"},\n {\"box_2d\": [155, 255, 211, 288], \"label\": \"four die\"},\n {\"box_2d\": [210, 218, 268, 251], \"label\": \"two die\"},\n {\"box_2d\": [254, 194, 314, 227], \"label\": \"four die\"},\n {\"box_2d\": [250, 238, 302, 268], \"label\": \"three die\"},\n {\"box_2d\": [219, 296, 273, 326], \"label\": \"two die\"},\n {\"box_2d\": [373, 193, 419, 221], \"label\": \"three die\"},\n {\"box_2d\": [432, 198, 487, 230], \"label\": \"five die\"},\n {\"box_2d\": [189, 365, 249, 399], \"label\": \"three die\"},\n {\"box_2d\": [227, 340, 285, 372], \"label\": \"five die\"},\n {\"box_2d\": [244, 370, 304, 403], \"label\": \"one die\"},\n {\"box_2d\": [271, 400, 323, 427], \"label\": \"one die\"},\n {\"box_2d\": [329, 369, 383, 398], \"label\": \"six die\"},\n {\"box_2d\": [177, 454, 231, 484], \"label\": \"one die\"},\n {\"box_2d\": [242, 458, 303, 491], \"label\": \"four die\"},\n {\"box_2d\": [237, 491, 294, 522], \"label\": \"three die\"},\n {\"box_2d\": [391, 418, 440, 445], \"label\": \"five die\"},\n {\"box_2d\": [354, 446, 413, 479], \"label\": \"two die\"},\n {\"box_2d\": [350, 555, 412, 590], \"label\": \"six die\"},\n {\"box_2d\": [529, 304, 583, 335], \"label\": \"one die\"},\n {\"box_2d\": [619, 308, 673, 339], \"label\": \"one die\"},\n {\"box_2d\": [623, 177, 673, 206], \"label\": \"six die\"},\n {\"box_2d\": [637, 208, 695, 242], \"label\": \"four die\"},\n {\"box_2d\": [757, 221, 817, 255], \"label\": \"five die\"},\n {\"box_2d\": [654, 28, 701, 56], \"label\": \"six die\"},\n {\"box_2d\": [888, 112, 941, 141], \"label\": \"one die\"},\n {\"box_2d\": [602, 379, 659, 411], \"label\": \"three die\"},\n {\"box_2d\": [578, 416, 631, 445], \"label\": \"four die\"},\n {\"box_2d\": [654, 397, 703, 426], \"label\": \"six die\"},\n {\"box_2d\": [682, 425, 738, 456], \"label\": \"four die\"},\n {\"box_2d\": [661, 449, 715, 479], \"label\": \"three die\"},\n {\"box_2d\": [618, 507, 665, 534], \"label\": \"one die\"},\n {\"box_2d\": [659, 526, 712, 556], \"label\": \"four die\"},\n {\"box_2d\": [776, 470, 829, 500], \"label\": \"three die\"},\n {\"box_2d\": [779, 535, 830, 563], \"label\": \"one die\"},\n {\"box_2d\": [694, 616, 753, 649], \"label\": \"three die\"},\n {\"box_2d\": [854, 580, 908, 610], \"label\": \"two die\"}\n]\n```", "correct": true, "input_tokens": 1252, "output_tokens": 1793, "elapsed_seconds": 40.18456437496934, "metadata": {"match_method": "map", "num_predictions": 51, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8611294627189636, "attempts": 1, "retries": 0, "total_seconds": 40.2416}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 52, "image": "3533container_jpg.rf.12bfe57075507c019cfd5dc24dd08b40.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [506, 148, 560, 181], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [461, 646, 526, 667], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [416, 487, 456, 543], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [324, 484, 380, 505], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [508, 25, 581, 142], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [630, 315, 678, 585], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [357, 239, 463, 344], \"label\": \"shipping container wall dent\"}\n]\n```", "correct": false, "input_tokens": 1219, "output_tokens": 270, "elapsed_seconds": 68.7186787079554, "metadata": {"match_method": "map", "num_predictions": 7, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0891088992357254, "attempts": 1, "retries": 0, "total_seconds": 68.8408}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 53, "image": "DJI_20230529095121_0346_T_JPG_jpg.rf.a2baa2ffdce5ec84e5f5d22342f6b310.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [703, 464, 725, 483], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [706, 502, 728, 517], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [712, 589, 730, 603], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [319, 302, 333, 319], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [828, 858, 845, 875], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [831, 900, 847, 916], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [459, 916, 475, 933], \"label\": \"solar panel hot spot\"}\n]\n```", "correct": true, "input_tokens": 1228, "output_tokens": 271, "elapsed_seconds": 7.265365249942988, "metadata": {"match_method": "map", "num_predictions": 7, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8712871074676514, "attempts": 1, "retries": 0, "total_seconds": 7.2878}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 54, "image": "IMG_20250815_170041_jpg.rf.a65978ab35e2cb48c68d9eebdeaab87b.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [584, 309, 672, 412], \"label\": \"barcode\"},\n {\"box_2d\": [666, 0, 756, 75], \"label\": \"barcode\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 77, "elapsed_seconds": 54.092516999924555, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 54.5431}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 55, "image": "1_000070_png.rf.a431761eff2c713a18daff7bade25bde.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [779, 845, 819, 859], \"label\": \"tire spike absent\"},\n {\"box_2d\": [781, 635, 816, 648], \"label\": \"tire spike absent\"},\n {\"box_2d\": [787, 751, 829, 766], \"label\": \"tire spike normal\"},\n {\"box_2d\": [761, 502, 812, 522], \"label\": \"tire spike normal\"},\n {\"box_2d\": [659, 444, 703, 463], \"label\": \"tire spike normal\"},\n {\"box_2d\": [742, 391, 780, 405], \"label\": \"tire spike absent\"},\n {\"box_2d\": [637, 330, 675, 345], \"label\": \"tire spike normal\"},\n {\"box_2d\": [729, 285, 766, 297], \"label\": \"tire spike normal\"},\n {\"box_2d\": [757, 228, 795, 244], \"label\": \"tire spike absent\"},\n {\"box_2d\": [699, 178, 738, 191], \"label\": \"tire spike absent\"},\n {\"box_2d\": [623, 138, 656, 152], \"label\": \"tire spike normal\"},\n {\"box_2d\": [686, 102, 718, 114], \"label\": \"tire spike normal\"},\n {\"box_2d\": [592, 72, 623, 84], \"label\": \"tire spike normal\"},\n {\"box_2d\": [666, 51, 697, 61], \"label\": \"tire spike normal\"},\n {\"box_2d\": [603, 27, 639, 36], \"label\": \"tire spike absent\"},\n {\"box_2d\": [324, 38, 353, 45], \"label\": \"tire spike absent\"},\n {\"box_2d\": [276, 57, 309, 67], \"label\": \"tire spike normal\"},\n {\"box_2d\": [182, 89, 214, 100], \"label\": \"tire spike normal\"},\n {\"box_2d\": [266, 110, 297, 119], \"label\": \"tire spike absent\"},\n {\"box_2d\": [219, 140, 250, 152], \"label\": \"tire spike normal\"},\n {\"box_2d\": [151, 194, 189, 206], \"label\": \"tire spike normal\"},\n {\"box_2d\": [209, 246, 246, 260], \"label\": \"tire spike normal\"},\n {\"box_2d\": [291, 286, 331, 301], \"label\": \"tire spike normal\"},\n {\"box_2d\": [189, 351, 229, 366], \"label\": \"tire spike normal\"},\n {\"box_2d\": [301, 396, 340, 412], \"label\": \"tire spike absent\"},\n {\"box_2d\": [199, 464, 244, 482], \"label\": \"tire spike normal\"},\n {\"box_2d\": [184, 521, 232, 537], \"label\": \"tire spike normal\"},\n {\"box_2d\": [244, 594, 289, 612], \"label\": \"tire spike normal\"},\n {\"box_2d\": [215, 648, 259, 663], \"label\": \"tire spike normal\"},\n {\"box_2d\": [270, 716, 314, 730], \"label\": \"tire spike normal\"},\n {\"box_2d\": [228, 764, 269, 774], \"label\": \"tire spike normal\"},\n {\"box_2d\": [295, 818, 333, 829], \"label\": \"tire spike normal\"},\n {\"box_2d\": [377, 855, 414, 865], \"label\": \"tire spike normal\"},\n {\"box_2d\": [292, 895, 326, 903], \"label\": \"tire spike normal\"},\n {\"box_2d\": [392, 918, 424, 926], \"label\": \"tire spike normal\"},\n {\"box_2d\": [306, 945, 341, 952], \"label\": \"tire spike normal\"},\n {\"box_2d\": [408, 959, 439, 965], \"label\": \"tire spike normal\"},\n {\"box_2d\": [315, 970, 348, 976], \"label\": \"tire spike normal\"},\n {\"box_2d\": [757, 961, 795, 966], \"label\": \"tire spike normal\"},\n {\"box_2d\": [689, 964, 725, 970], \"label\": \"tire spike normal\"},\n {\"box_2d\": [755, 932, 793, 942], \"label\": \"tire spike absent\"},\n {\"box_2d\": [691, 939, 729, 947], \"label\": \"tire spike normal\"},\n {\"box_2d\": [702, 884, 739, 894], \"label\": \"tire spike normal\"},\n {\"box_2d\": [779, 891, 815, 902], \"label\": \"tire spike absent\"},\n {\"box_2d\": [828, 799, 870, 812], \"label\": \"tire spike absent\"},\n {\"box_2d\": [822, 695, 864, 710], \"label\": \"tire spike absent\"},\n {\"box_2d\": [812, 572, 854, 588], \"label\": \"tire spike normal\"}\n]\n```", "correct": false, "input_tokens": 1222, "output_tokens": 1693, "elapsed_seconds": 58.49776774994098, "metadata": {"match_method": "map", "num_predictions": 47, "num_ground_truth": 46, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.46735554933547974, "attempts": 1, "retries": 0, "total_seconds": 58.5797}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 56, "image": "egg-detection_image148_jpg.rf.7ef43d25f8e9b9b7f3d805f238830ff7.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [774, 520, 855, 580], \"label\": \"egg\"},\n {\"box_2d\": [704, 617, 787, 676], \"label\": \"egg\"},\n {\"box_2d\": [753, 657, 836, 718], \"label\": \"egg\"},\n {\"box_2d\": [799, 699, 881, 756], \"label\": \"egg\"},\n {\"box_2d\": [739, 742, 816, 795], \"label\": \"egg\"},\n {\"box_2d\": [909, 676, 983, 732], \"label\": \"egg\"},\n {\"box_2d\": [891, 731, 976, 773], \"label\": \"egg\"},\n {\"box_2d\": [585, 595, 673, 659], \"label\": \"egg\"},\n {\"box_2d\": [579, 659, 666, 719], \"label\": \"egg\"},\n {\"box_2d\": [632, 699, 719, 759], \"label\": \"egg\"},\n {\"box_2d\": [624, 757, 706, 809], \"label\": \"egg\"},\n {\"box_2d\": [513, 715, 595, 769], \"label\": \"egg\"},\n {\"box_2d\": [441, 762, 553, 803], \"label\": \"egg\"},\n {\"box_2d\": [400, 631, 487, 694], \"label\": \"egg\"},\n {\"box_2d\": [406, 531, 493, 594], \"label\": \"egg\"},\n {\"box_2d\": [332, 713, 419, 771], \"label\": \"egg\"},\n {\"box_2d\": [275, 660, 360, 719], \"label\": \"egg\"},\n {\"box_2d\": [222, 699, 303, 754], \"label\": \"egg\"},\n {\"box_2d\": [111, 686, 189, 739], \"label\": \"egg\"},\n {\"box_2d\": [104, 613, 185, 675], \"label\": \"egg\"},\n {\"box_2d\": [158, 517, 239, 577], \"label\": \"egg\"},\n {\"box_2d\": [54, 570, 134, 625], \"label\": \"egg\"},\n {\"box_2d\": [20, 706, 94, 759], \"label\": \"egg\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 791, "elapsed_seconds": 42.272532333037816, "metadata": {"match_method": "map", "num_predictions": 23, "num_ground_truth": 23, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 42.41}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 57, "image": "wood-log-detection_024_png_jpg.rf.263e49a755104b6d29dbdffe768891e9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [66, 294, 189, 434], \"label\": \"log cross-section\"},\n {\"box_2d\": [103, 412, 166, 483], \"label\": \"log cross-section\"},\n {\"box_2d\": [122, 597, 181, 691], \"label\": \"log cross-section\"},\n {\"box_2d\": [153, 656, 223, 725], \"label\": \"log cross-section\"},\n {\"box_2d\": [200, 681, 255, 742], \"label\": \"log cross-section\"},\n {\"box_2d\": [177, 595, 250, 659], \"label\": \"log cross-section\"},\n {\"box_2d\": [208, 616, 273, 683], \"label\": \"log cross-section\"},\n {\"box_2d\": [153, 533, 223, 598], \"label\": \"log cross-section\"},\n {\"box_2d\": [184, 511, 227, 550], \"label\": \"log cross-section\"},\n {\"box_2d\": [223, 562, 267, 597], \"label\": \"log cross-section\"},\n {\"box_2d\": [259, 558, 344, 628], \"label\": \"log cross-section\"},\n {\"box_2d\": [269, 611, 338, 662], \"label\": \"log cross-section\"},\n {\"box_2d\": [253, 655, 323, 738], \"label\": \"log cross-section\"},\n {\"box_2d\": [295, 672, 353, 742], \"label\": \"log cross-section\"},\n {\"box_2d\": [328, 622, 355, 691], \"label\": \"log cross-section\"},\n {\"box_2d\": [295, 528, 356, 580], \"label\": \"log cross-section\"},\n {\"box_2d\": [225, 517, 294, 566], \"label\": \"log cross-section\"},\n {\"box_2d\": [252, 489, 305, 534], \"label\": \"log cross-section\"},\n {\"box_2d\": [294, 475, 342, 517], \"label\": \"log cross-section\"},\n {\"box_2d\": [298, 417, 361, 498], \"label\": \"log cross-section\"},\n {\"box_2d\": [269, 420, 314, 480], \"label\": \"log cross-section\"},\n {\"box_2d\": [231, 439, 275, 483], \"label\": \"log cross-section\"},\n {\"box_2d\": [203, 422, 244, 478], \"label\": \"log cross-section\"},\n {\"box_2d\": [216, 486, 250, 522], \"label\": \"log cross-section\"},\n {\"box_2d\": [153, 444, 214, 502], \"label\": \"log cross-section\"},\n {\"box_2d\": [127, 475, 169, 502], \"label\": \"log cross-section\"},\n {\"box_2d\": [169, 389, 223, 425], \"label\": \"log cross-section\"},\n {\"box_2d\": [238, 388, 283, 431], \"label\": \"log cross-section\"},\n {\"box_2d\": [278, 352, 345, 400], \"label\": \"log cross-section\"},\n {\"box_2d\": [248, 323, 306, 367], \"label\": \"log cross-section\"},\n {\"box_2d\": [191, 320, 267, 386], \"label\": \"log cross-section\"},\n {\"box_2d\": [147, 319, 192, 370], \"label\": \"log cross-section\"},\n {\"box_2d\": [127, 241, 175, 294], \"label\": \"log cross-section\"},\n {\"box_2d\": [145, 281, 198, 328], \"label\": \"log cross-section\"},\n {\"box_2d\": [175, 245, 234, 316], \"label\": \"log cross-section\"},\n {\"box_2d\": [216, 239, 258, 286], \"label\": \"log cross-section\"},\n {\"box_2d\": [225, 294, 272, 339], \"label\": \"log cross-section\"},\n {\"box_2d\": [252, 248, 325, 323], \"label\": \"log cross-section\"},\n {\"box_2d\": [308, 242, 355, 311], \"label\": \"log cross-section\"},\n {\"box_2d\": [306, 392, 355, 425], \"label\": \"log cross-section\"}\n]\n```", "correct": false, "input_tokens": 1228, "output_tokens": 1491, "elapsed_seconds": 17.194185417029075, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 40, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.16577352583408356, "attempts": 1, "retries": 0, "total_seconds": 17.2184}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 58, "image": "img_458587397241176242_png.rf.41b1d861ca437ce5097848dacad76db8.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [742, 424, 868, 591], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [850, 121, 991, 299], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [865, 412, 1000, 585], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [817, 571, 971, 742], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [875, 728, 1000, 915], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [806, 267, 943, 449], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [736, 146, 855, 319], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [689, 288, 809, 456], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [694, 572, 821, 738], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [746, 721, 882, 899], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [623, 718, 748, 885], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [575, 573, 697, 730], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [623, 434, 743, 591], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [578, 303, 692, 459], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [623, 168, 738, 333], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [518, 189, 632, 342], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [474, 317, 586, 466], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [512, 441, 630, 591], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [465, 572, 582, 722], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [504, 712, 628, 871], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [396, 706, 517, 859], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [363, 572, 476, 719], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [413, 448, 526, 591], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [377, 329, 492, 471], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [423, 210, 535, 355], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [332, 224, 442, 366], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [289, 342, 401, 478], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [319, 456, 428, 591], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [269, 575, 378, 716], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [298, 701, 415, 847], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [208, 701, 319, 839], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [182, 576, 289, 711], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [229, 461, 336, 591], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [206, 351, 312, 478], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [249, 244, 352, 375], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [171, 250, 273, 375], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [127, 364, 226, 483], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [147, 464, 249, 588], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [101, 583, 207, 709], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [121, 697, 232, 833], \"label\": \"empty portable gas cylinder\"}\n]\n```", "correct": false, "input_tokens": 1208, "output_tokens": 1494, "elapsed_seconds": 21.79319212504197, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 40, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.375, "attempts": 1, "retries": 0, "total_seconds": 21.9122}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 59, "image": "frame_0008_jpg.rf.87aed24f253375f69a3bb398f6521d18.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [771, 485, 819, 511], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [654, 490, 704, 518], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [541, 502, 588, 530], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [526, 438, 577, 466], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [641, 424, 691, 453], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [757, 419, 807, 446], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [742, 357, 790, 383], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [628, 362, 678, 390], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [512, 376, 563, 404], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [497, 315, 549, 343], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [607, 302, 659, 329], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [721, 296, 770, 322], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [216, 326, 260, 350], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [209, 384, 253, 409], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [117, 390, 162, 414], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [126, 333, 170, 357], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [39, 341, 82, 364], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [31, 396, 73, 419], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [25, 451, 69, 474], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [112, 448, 155, 472], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [204, 446, 248, 471], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [204, 509, 248, 534], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [112, 506, 155, 531], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [27, 506, 68, 529], \"label\": \"soda bottle cap\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 868, "elapsed_seconds": 148.3817145000212, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 24, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 148.9636}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 60, "image": "uav20221018_ixfZ_3857_0_png.rf.68f3022f53a4bfe08c731fb3a58473cf.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [230, 329, 315, 405], \"label\": \"banana tree\"},\n {\"box_2d\": [206, 407, 272, 471], \"label\": \"banana tree\"},\n {\"box_2d\": [283, 404, 344, 469], \"label\": \"banana tree\"},\n {\"box_2d\": [324, 322, 397, 396], \"label\": \"banana tree\"},\n {\"box_2d\": [368, 402, 439, 480], \"label\": \"banana tree\"},\n {\"box_2d\": [416, 336, 480, 396], \"label\": \"banana tree\"},\n {\"box_2d\": [447, 406, 513, 479], \"label\": \"banana tree\"},\n {\"box_2d\": [498, 324, 571, 406], \"label\": \"banana tree\"},\n {\"box_2d\": [540, 412, 603, 465], \"label\": \"banana tree\"},\n {\"box_2d\": [579, 334, 659, 396], \"label\": \"banana tree\"},\n {\"box_2d\": [666, 338, 738, 412], \"label\": \"banana tree\"},\n {\"box_2d\": [623, 409, 703, 484], \"label\": \"banana tree\"},\n {\"box_2d\": [750, 321, 833, 402], \"label\": \"banana tree\"},\n {\"box_2d\": [713, 416, 783, 473], \"label\": \"banana tree\"},\n {\"box_2d\": [797, 404, 875, 478], \"label\": \"banana tree\"},\n {\"box_2d\": [845, 340, 913, 402], \"label\": \"banana tree\"},\n {\"box_2d\": [880, 406, 949, 485], \"label\": \"banana tree\"},\n {\"box_2d\": [928, 338, 998, 399], \"label\": \"banana tree\"},\n {\"box_2d\": [960, 408, 1000, 475], \"label\": \"banana tree\"},\n {\"box_2d\": [958, 619, 1000, 697], \"label\": \"banana tree\"},\n {\"box_2d\": [870, 622, 938, 704], \"label\": \"banana tree\"},\n {\"box_2d\": [909, 702, 988, 771], \"label\": \"banana tree\"},\n {\"box_2d\": [820, 694, 907, 771], \"label\": \"banana tree\"},\n {\"box_2d\": [786, 634, 862, 702], \"label\": \"banana tree\"},\n {\"box_2d\": [739, 699, 816, 779], \"label\": \"banana tree\"},\n {\"box_2d\": [702, 622, 773, 707], \"label\": \"banana tree\"},\n {\"box_2d\": [654, 697, 735, 780], \"label\": \"banana tree\"},\n {\"box_2d\": [618, 646, 678, 706], \"label\": \"banana tree\"},\n {\"box_2d\": [566, 705, 650, 777], \"label\": \"banana tree\"},\n {\"box_2d\": [531, 619, 608, 701], \"label\": \"banana tree\"},\n {\"box_2d\": [454, 623, 513, 698], \"label\": \"banana tree\"},\n {\"box_2d\": [474, 694, 565, 774], \"label\": \"banana tree\"},\n {\"box_2d\": [397, 698, 483, 773], \"label\": \"banana tree\"},\n {\"box_2d\": [363, 618, 443, 693], \"label\": \"banana tree\"},\n {\"box_2d\": [315, 690, 405, 767], \"label\": \"banana tree\"},\n {\"box_2d\": [275, 627, 344, 690], \"label\": \"banana tree\"},\n {\"box_2d\": [231, 690, 315, 763], \"label\": \"banana tree\"},\n {\"box_2d\": [181, 681, 250, 756], \"label\": \"banana tree\"},\n {\"box_2d\": [199, 934, 267, 987], \"label\": \"banana tree\"},\n {\"box_2d\": [283, 927, 372, 995], \"label\": \"banana tree\"},\n {\"box_2d\": [377, 928, 446, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [447, 933, 533, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [540, 920, 622, 999], \"label\": \"banana tree\"},\n {\"box_2d\": [628, 938, 699, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [708, 931, 784, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [797, 946, 864, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [878, 933, 956, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [960, 949, 1000, 999], \"label\": \"banana tree\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 1701, "elapsed_seconds": 20.523569916025735, "metadata": {"match_method": "map", "num_predictions": 48, "num_ground_truth": 47, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9344059228897095, "attempts": 1, "retries": 0, "total_seconds": 20.5905}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 61, "image": "egg-detection_image32_jpg.rf.bd04bf65691e0bae0f1d97601289a543.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [450, 427, 537, 491], \"label\": \"egg\"},\n {\"box_2d\": [177, 694, 255, 753], \"label\": \"egg\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 80, "elapsed_seconds": 108.48487212497275, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 108.6273}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 62, "image": "construction-safety_ppe_0407_jpg.rf.b54d8bba5b223e0515f3d28ff728e79a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [329, 822, 375, 862], \"label\": \"safety helmet\"},\n {\"box_2d\": [306, 697, 369, 742], \"label\": \"safety helmet\"},\n {\"box_2d\": [349, 654, 392, 683], \"label\": \"safety helmet\"},\n {\"box_2d\": [399, 591, 444, 617], \"label\": \"safety helmet\"},\n {\"box_2d\": [377, 535, 434, 567], \"label\": \"safety helmet\"},\n {\"box_2d\": [344, 463, 389, 495], \"label\": \"safety helmet\"},\n {\"box_2d\": [357, 404, 405, 433], \"label\": \"safety helmet\"},\n {\"box_2d\": [372, 353, 417, 382], \"label\": \"safety helmet\"},\n {\"box_2d\": [417, 825, 637, 891], \"label\": \"safety vest\"},\n {\"box_2d\": [401, 686, 680, 765], \"label\": \"safety vest\"},\n {\"box_2d\": [434, 646, 608, 695], \"label\": \"safety vest\"},\n {\"box_2d\": [461, 583, 652, 631], \"label\": \"safety vest\"},\n {\"box_2d\": [450, 524, 649, 574], \"label\": \"safety vest\"},\n {\"box_2d\": [417, 456, 613, 505], \"label\": \"safety vest\"},\n {\"box_2d\": [425, 392, 586, 443], \"label\": \"safety vest\"},\n {\"box_2d\": [447, 340, 637, 392], \"label\": \"safety vest\"},\n {\"box_2d\": [372, 333, 822, 416], \"label\": \"person\"},\n {\"box_2d\": [356, 390, 784, 445], \"label\": \"person\"},\n {\"box_2d\": [345, 454, 738, 513], \"label\": \"person\"},\n {\"box_2d\": [378, 516, 809, 576], \"label\": \"person\"},\n {\"box_2d\": [400, 577, 809, 636], \"label\": \"person\"},\n {\"box_2d\": [351, 642, 820, 699], \"label\": \"person\"},\n {\"box_2d\": [307, 610, 991, 766], \"label\": \"person\"},\n {\"box_2d\": [329, 809, 893, 894], \"label\": \"person\"},\n {\"box_2d\": [358, 725, 860, 777], \"label\": \"person\"}\n]\n```", "correct": true, "input_tokens": 1220, "output_tokens": 878, "elapsed_seconds": 19.657324459054507, "metadata": {"match_method": "map", "num_predictions": 25, "num_ground_truth": 28, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8877887725830078, "attempts": 1, "retries": 0, "total_seconds": 19.6957}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 63, "image": "IMG_4931_jpg.rf.58c129944a1f2b663c55dbd43e27cf91.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [598, 249, 643, 274], \"label\": \"face\"},\n {\"box_2d\": [632, 341, 676, 364], \"label\": \"face\"},\n {\"box_2d\": [432, 281, 464, 297], \"label\": \"face\"},\n {\"box_2d\": [417, 250, 449, 267], \"label\": \"face\"},\n {\"box_2d\": [419, 376, 449, 391], \"label\": \"face\"},\n {\"box_2d\": [336, 400, 360, 412], \"label\": \"face\"},\n {\"box_2d\": [351, 429, 374, 442], \"label\": \"face\"},\n {\"box_2d\": [358, 597, 379, 608], \"label\": \"face\"},\n {\"box_2d\": [345, 646, 363, 655], \"label\": \"face\"},\n {\"box_2d\": [365, 623, 386, 634], \"label\": \"face\"},\n {\"box_2d\": [345, 614, 363, 623], \"label\": \"face\"},\n {\"box_2d\": [321, 524, 340, 534], \"label\": \"face\"},\n {\"box_2d\": [338, 696, 355, 704], \"label\": \"face\"},\n {\"box_2d\": [357, 727, 374, 735], \"label\": \"face\"},\n {\"box_2d\": [359, 758, 376, 767], \"label\": \"face\"},\n {\"box_2d\": [321, 633, 338, 642], \"label\": \"face\"},\n {\"box_2d\": [295, 608, 312, 616], \"label\": \"face\"},\n {\"box_2d\": [295, 556, 311, 565], \"label\": \"face\"},\n {\"box_2d\": [306, 492, 323, 502], \"label\": \"face\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 658, "elapsed_seconds": 256.96760979201645, "metadata": {"match_method": "map", "num_predictions": 19, "num_ground_truth": 28, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6732673048973083, "attempts": 1, "retries": 0, "total_seconds": 257.4605}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 64, "image": "tile_232_jpg.rf.d215d900b9cd862d3217f88435d7ad8a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [592, 412, 643, 517], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [630, 560, 718, 744], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [674, 785, 728, 970], \"label\": \"ship in SAR satellite image\"}\n]\n```", "correct": true, "input_tokens": 1229, "output_tokens": 126, "elapsed_seconds": 15.001892957952805, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 15.0383}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 65, "image": "IMG_20250815_164441_jpg.rf.3c12e140b11a4091c99d31ed66a86850.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [598, 38, 622, 66], \"label\": \"barcode\"},\n {\"box_2d\": [832, 41, 885, 69], \"label\": \"barcode\"},\n {\"box_2d\": [603, 229, 627, 258], \"label\": \"barcode\"},\n {\"box_2d\": [514, 209, 568, 237], \"label\": \"barcode\"},\n {\"box_2d\": [831, 214, 855, 241], \"label\": \"barcode\"},\n {\"box_2d\": [503, 323, 557, 352], \"label\": \"barcode\"},\n {\"box_2d\": [612, 372, 637, 400], \"label\": \"barcode\"},\n {\"box_2d\": [864, 396, 890, 424], \"label\": \"barcode\"},\n {\"box_2d\": [499, 486, 524, 514], \"label\": \"barcode\"},\n {\"box_2d\": [616, 519, 640, 547], \"label\": \"barcode\"},\n {\"box_2d\": [866, 525, 891, 552], \"label\": \"barcode\"},\n {\"box_2d\": [863, 653, 887, 680], \"label\": \"barcode\"},\n {\"box_2d\": [621, 666, 646, 694], \"label\": \"barcode\"},\n {\"box_2d\": [507, 629, 560, 657], \"label\": \"barcode\"},\n {\"box_2d\": [535, 838, 588, 866], \"label\": \"barcode\"},\n {\"box_2d\": [629, 838, 653, 865], \"label\": \"barcode\"},\n {\"box_2d\": [633, 979, 656, 1000], \"label\": \"barcode\"},\n {\"box_2d\": [93, 637, 148, 665], \"label\": \"barcode\"},\n {\"box_2d\": [181, 510, 235, 538], \"label\": \"barcode\"},\n {\"box_2d\": [155, 418, 181, 446], \"label\": \"barcode\"},\n {\"box_2d\": [147, 261, 203, 290], \"label\": \"barcode\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 722, "elapsed_seconds": 80.24731087498367, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 21, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 80.7364}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 66, "image": "car-part-detection_Car-damages-128_png_jpg.rf.e07bc73742c49cec70d8b7dc538a39d2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [553, 56, 773, 111], \"label\": \"front bumper\"},\n {\"box_2d\": [498, 68, 581, 102], \"label\": \"headlight\"},\n {\"box_2d\": [361, 70, 502, 319], \"label\": \"hood\"},\n {\"box_2d\": [224, 297, 417, 456], \"label\": \"windshield\"},\n {\"box_2d\": [343, 378, 419, 419], \"label\": \"mirror\"},\n {\"box_2d\": [219, 405, 412, 584], \"label\": \"front window\"},\n {\"box_2d\": [219, 315, 718, 597], \"label\": \"front door\"},\n {\"box_2d\": [215, 598, 396, 813], \"label\": \"back window\"},\n {\"box_2d\": [215, 562, 704, 812], \"label\": \"back door\"},\n {\"box_2d\": [243, 864, 368, 920], \"label\": \"back windshield\"},\n {\"box_2d\": [354, 895, 479, 932], \"label\": \"tail light\"},\n {\"box_2d\": [472, 850, 718, 950], \"label\": \"back bumper\"}\n]\n```", "correct": true, "input_tokens": 1224, "output_tokens": 427, "elapsed_seconds": 6.852810375043191, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 13, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9587457776069641, "attempts": 1, "retries": 0, "total_seconds": 6.8746}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 67, "image": "Lego_73_low_jpeg.rf.bf207a14dd8d49e9b00aae2e1a8886e1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [715, 396, 756, 496], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [457, 271, 550, 326], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [590, 428, 650, 528], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [234, 669, 319, 736], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [721, 633, 781, 731], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [707, 846, 789, 927], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [771, 894, 835, 967], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [529, 850, 622, 945], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [571, 779, 651, 850], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [494, 797, 567, 862], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [387, 809, 469, 876], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [410, 726, 485, 811], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [388, 681, 465, 773], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [199, 765, 300, 823], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [185, 813, 286, 855], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [128, 843, 236, 885], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [160, 941, 248, 1000], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [399, 42, 495, 113], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [637, 940, 725, 1000], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [37, 678, 136, 784], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [188, 241, 258, 333], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [62, 205, 132, 295], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [228, 44, 304, 145], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [706, 94, 804, 168], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [610, 294, 657, 409], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [548, 394, 624, 484], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [414, 427, 481, 535], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [529, 535, 603, 622], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [595, 588, 652, 689], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [379, 631, 476, 688], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [202, 454, 257, 556], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [106, 519, 180, 616], \"label\": \"lego 4x1 brick\"}\n]\n```", "correct": true, "input_tokens": 1244, "output_tokens": 1257, "elapsed_seconds": 25.841470457962714, "metadata": {"match_method": "map", "num_predictions": 32, "num_ground_truth": 32, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9111161231994629, "attempts": 1, "retries": 0, "total_seconds": 25.9255}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 68, "image": "IMG_6646_jpeg_jpg.rf.bb15616ff058bc9ba8f9683f61ab5fbb.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [311, 529, 370, 711], \"label\": \"green poker chip\"},\n {\"box_2d\": [336, 531, 386, 706], \"label\": \"green poker chip\"},\n {\"box_2d\": [354, 529, 403, 706], \"label\": \"green poker chip\"},\n {\"box_2d\": [370, 532, 419, 706], \"label\": \"green poker chip\"},\n {\"box_2d\": [389, 532, 437, 705], \"label\": \"green poker chip\"},\n {\"box_2d\": [402, 531, 452, 703], \"label\": \"green poker chip\"},\n {\"box_2d\": [417, 529, 469, 702], \"label\": \"green poker chip\"},\n {\"box_2d\": [434, 531, 483, 699], \"label\": \"green poker chip\"},\n {\"box_2d\": [447, 529, 498, 697], \"label\": \"green poker chip\"},\n {\"box_2d\": [461, 550, 521, 717], \"label\": \"green poker chip\"},\n {\"box_2d\": [345, 336, 410, 506], \"label\": \"green poker chip\"},\n {\"box_2d\": [384, 336, 426, 508], \"label\": \"green poker chip\"},\n {\"box_2d\": [404, 340, 444, 509], \"label\": \"green poker chip\"},\n {\"box_2d\": [410, 345, 459, 514], \"label\": \"green poker chip\"},\n {\"box_2d\": [432, 348, 476, 517], \"label\": \"green poker chip\"},\n {\"box_2d\": [447, 349, 492, 517], \"label\": \"green poker chip\"},\n {\"box_2d\": [449, 342, 511, 509], \"label\": \"green poker chip\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 624, "elapsed_seconds": 20.788854042068124, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 17, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 20.8133}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 69, "image": "41_jpg.rf.2cb4080a10f215e4bd4d6ed6d4ea3e68.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [234, 240, 546, 323], \"label\": \"blood sample tube\"},\n {\"box_2d\": [468, 179, 704, 381], \"label\": \"blood sample tube\"},\n {\"box_2d\": [548, 335, 731, 560], \"label\": \"blood sample tube\"},\n {\"box_2d\": [556, 415, 735, 642], \"label\": \"blood sample tube\"},\n {\"box_2d\": [337, 378, 603, 550], \"label\": \"blood sample tube\"},\n {\"box_2d\": [356, 475, 648, 623], \"label\": \"blood sample tube\"},\n {\"box_2d\": [231, 498, 535, 618], \"label\": \"blood sample tube\"},\n {\"box_2d\": [92, 331, 348, 512], \"label\": \"blood sample tube\"},\n {\"box_2d\": [134, 467, 198, 709], \"label\": \"blood sample tube\"},\n {\"box_2d\": [78, 385, 143, 621], \"label\": \"blood sample tube\"},\n {\"box_2d\": [25, 384, 86, 625], \"label\": \"blood sample tube\"},\n {\"box_2d\": [20, 621, 86, 865], \"label\": \"blood sample tube\"},\n {\"box_2d\": [75, 631, 139, 876], \"label\": \"blood sample tube\"},\n {\"box_2d\": [23, 867, 353, 918], \"label\": \"blood sample tube\"},\n {\"box_2d\": [173, 631, 275, 885], \"label\": \"blood sample tube\"},\n {\"box_2d\": [303, 618, 604, 746], \"label\": \"blood sample tube\"},\n {\"box_2d\": [397, 637, 682, 789], \"label\": \"blood sample tube\"},\n {\"box_2d\": [367, 720, 678, 845], \"label\": \"blood sample tube\"},\n {\"box_2d\": [345, 829, 681, 882], \"label\": \"blood sample tube\"},\n {\"box_2d\": [353, 881, 684, 926], \"label\": \"blood sample tube\"},\n {\"box_2d\": [676, 671, 735, 926], \"label\": \"blood sample tube\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 760, "elapsed_seconds": 18.989793499931693, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 21, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 19.0188}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 70, "image": "construction-safety_ppe_0710_jpg.rf.d335438ef5819cfad67cee1d9e8c6eab.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [224, 175, 297, 245], \"label\": \"safety helmet\"},\n {\"box_2d\": [206, 650, 864, 795], \"label\": \"person\"},\n {\"box_2d\": [298, 259, 513, 345], \"label\": \"safety vest\"},\n {\"box_2d\": [278, 571, 336, 625], \"label\": \"safety helmet\"},\n {\"box_2d\": [171, 44, 892, 184], \"label\": \"person\"},\n {\"box_2d\": [210, 700, 267, 755], \"label\": \"safety helmet\"},\n {\"box_2d\": [219, 349, 276, 405], \"label\": \"safety helmet\"},\n {\"box_2d\": [283, 74, 518, 182], \"label\": \"safety vest\"},\n {\"box_2d\": [329, 446, 540, 548], \"label\": \"safety vest\"},\n {\"box_2d\": [318, 667, 526, 785], \"label\": \"safety vest\"},\n {\"box_2d\": [171, 102, 232, 165], \"label\": \"safety helmet\"},\n {\"box_2d\": [221, 785, 296, 859], \"label\": \"safety helmet\"},\n {\"box_2d\": [224, 150, 895, 281], \"label\": \"person\"},\n {\"box_2d\": [278, 544, 890, 672], \"label\": \"person\"},\n {\"box_2d\": [329, 323, 561, 427], \"label\": \"safety vest\"},\n {\"box_2d\": [222, 462, 281, 518], \"label\": \"safety helmet\"},\n {\"box_2d\": [333, 759, 572, 898], \"label\": \"safety vest\"},\n {\"box_2d\": [217, 738, 965, 930], \"label\": \"person\"},\n {\"box_2d\": [191, 279, 244, 330], \"label\": \"safety helmet\"},\n {\"box_2d\": [189, 247, 836, 355], \"label\": \"person\"},\n {\"box_2d\": [222, 434, 840, 568], \"label\": \"person\"},\n {\"box_2d\": [215, 312, 864, 444], \"label\": \"person\"},\n {\"box_2d\": [346, 167, 588, 273], \"label\": \"safety vest\"},\n {\"box_2d\": [390, 554, 623, 650], \"label\": \"safety vest\"}\n]\n```", "correct": true, "input_tokens": 1222, "output_tokens": 842, "elapsed_seconds": 54.10644975001924, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 24, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 54.1661}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 71, "image": "4103456_ContLeftUpper_f_jpg.rf.6635963edc568c350879157eaf0b4b06.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [535, 19, 577, 46], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [529, 98, 566, 129], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [533, 180, 581, 206], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [548, 259, 583, 286], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [554, 340, 582, 366], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [547, 139, 567, 162], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [468, 178, 504, 204], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [443, 19, 491, 43], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [391, 16, 417, 40], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [387, 139, 410, 163], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [365, 178, 416, 202], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [366, 256, 396, 280], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [425, 257, 462, 281], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [364, 336, 393, 361], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [416, 339, 460, 363], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [349, 417, 386, 442], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [440, 419, 470, 445], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [354, 499, 396, 524], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [401, 740, 429, 761], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [328, 701, 355, 725], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [414, 701, 443, 725], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [278, 578, 300, 603], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [341, 619, 371, 642], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [420, 618, 449, 641], \"label\": \"shipping container wall dent\"}\n]\n```", "correct": false, "input_tokens": 1255, "output_tokens": 893, "elapsed_seconds": 37.12519483291544, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 20, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6243447661399841, "attempts": 1, "retries": 0, "total_seconds": 37.2452}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 72, "image": "V000087_0_0-Drive-Shaft_jpeg_jpg.rf.148a90e2fb96f98fb22ea082d09655d1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [799, 95, 968, 954], \"label\": \"technical drawing table\"},\n {\"box_2d\": [169, 348, 215, 444], \"label\": \"surface roughness symbol\"},\n {\"box_2d\": [163, 434, 223, 502], \"label\": \"dimension annotation\"},\n {\"box_2d\": [169, 494, 240, 566], \"label\": \"dimension annotation\"},\n {\"box_2d\": [186, 540, 243, 636], \"label\": \"dimension annotation\"},\n {\"box_2d\": [264, 576, 285, 667], \"label\": \"dimension annotation\"},\n {\"box_2d\": [243, 491, 290, 554], \"label\": \"dimension annotation\"},\n {\"box_2d\": [264, 434, 319, 579], \"label\": \"dimension annotation\"},\n {\"box_2d\": [267, 312, 320, 434], \"label\": \"dimension annotation\"},\n {\"box_2d\": [146, 826, 209, 905], \"label\": \"dimension annotation\"},\n {\"box_2d\": [157, 672, 267, 819], \"label\": \"dimension annotation\"},\n {\"box_2d\": [427, 434, 484, 671], \"label\": \"dimension annotation\"},\n {\"box_2d\": [437, 576, 474, 626], \"label\": \"dimension annotation\"},\n {\"box_2d\": [482, 577, 517, 624], \"label\": \"dimension annotation\"},\n {\"box_2d\": [482, 217, 540, 579], \"label\": \"dimension annotation\"}\n]\n```", "correct": false, "input_tokens": 1237, "output_tokens": 538, "elapsed_seconds": 8.251654457999393, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6699669361114502, "attempts": 1, "retries": 0, "total_seconds": 8.2657}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 73, "image": "1_000290_png.rf.2ed72f4c5f09c4e50e5326dbdb424cd7.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [751, 200, 779, 232], \"label\": \"tire spike normal\"},\n {\"box_2d\": [823, 319, 850, 355], \"label\": \"tire spike normal\"},\n {\"box_2d\": [654, 166, 680, 200], \"label\": \"tire spike normal\"},\n {\"box_2d\": [529, 240, 560, 278], \"label\": \"tire spike normal\"},\n {\"box_2d\": [454, 198, 474, 229], \"label\": \"tire spike normal\"},\n {\"box_2d\": [447, 391, 464, 428], \"label\": \"tire spike normal\"},\n {\"box_2d\": [381, 360, 394, 398], \"label\": \"tire spike normal\"},\n {\"box_2d\": [300, 214, 317, 244], \"label\": \"tire spike normal\"},\n {\"box_2d\": [295, 494, 310, 526], \"label\": \"tire spike normal\"},\n {\"box_2d\": [205, 429, 217, 456], \"label\": \"tire spike normal\"},\n {\"box_2d\": [217, 272, 230, 300], \"label\": \"tire spike normal\"},\n {\"box_2d\": [113, 256, 126, 286], \"label\": \"tire spike normal\"},\n {\"box_2d\": [134, 352, 146, 378], \"label\": \"tire spike normal\"},\n {\"box_2d\": [80, 562, 88, 591], \"label\": \"tire spike normal\"},\n {\"box_2d\": [94, 769, 108, 796], \"label\": \"tire spike normal\"},\n {\"box_2d\": [132, 745, 147, 774], \"label\": \"tire spike normal\"},\n {\"box_2d\": [158, 646, 171, 676], \"label\": \"tire spike normal\"},\n {\"box_2d\": [235, 562, 250, 595], \"label\": \"tire spike normal\"},\n {\"box_2d\": [248, 720, 265, 754], \"label\": \"tire spike normal\"},\n {\"box_2d\": [338, 779, 357, 811], \"label\": \"tire spike normal\"},\n {\"box_2d\": [423, 619, 441, 654], \"label\": \"tire spike normal\"},\n {\"box_2d\": [493, 588, 514, 622], \"label\": \"tire spike normal\"},\n {\"box_2d\": [498, 785, 520, 821], \"label\": \"tire spike normal\"},\n {\"box_2d\": [583, 736, 610, 772], \"label\": \"tire spike normal\"},\n {\"box_2d\": [694, 565, 712, 599], \"label\": \"tire spike normal\"},\n {\"box_2d\": [707, 812, 725, 845], \"label\": \"tire spike normal\"},\n {\"box_2d\": [812, 778, 836, 815], \"label\": \"tire spike normal\"},\n {\"box_2d\": [641, 415, 661, 446], \"label\": \"tire spike absent\"},\n {\"box_2d\": [878, 664, 900, 699], \"label\": \"tire spike normal\"},\n {\"box_2d\": [887, 488, 916, 521], \"label\": \"tire spike normal\"}\n]\n```", "correct": false, "input_tokens": 1215, "output_tokens": 1089, "elapsed_seconds": 13.995786958024837, "metadata": {"match_method": "map", "num_predictions": 30, "num_ground_truth": 35, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.17897415161132812, "attempts": 1, "retries": 0, "total_seconds": 14.0547}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 74, "image": "GP010212_JPG_jpg.rf.6a034cdac286be2f0a162b6bfc04e1c0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [278, 506, 369, 681], \"label\": \"carrot\"},\n {\"box_2d\": [322, 486, 391, 645], \"label\": \"carrot\"},\n {\"box_2d\": [298, 673, 453, 698], \"label\": \"carrot\"},\n {\"box_2d\": [380, 523, 444, 688], \"label\": \"carrot\"},\n {\"box_2d\": [341, 431, 412, 586], \"label\": \"carrot\"},\n {\"box_2d\": [255, 448, 311, 608], \"label\": \"carrot\"},\n {\"box_2d\": [231, 498, 272, 720], \"label\": \"carrot\"},\n {\"box_2d\": [269, 234, 381, 439], \"label\": \"carrot\"},\n {\"box_2d\": [256, 200, 362, 386], \"label\": \"carrot\"},\n {\"box_2d\": [364, 250, 408, 488], \"label\": \"carrot\"},\n {\"box_2d\": [397, 327, 434, 503], \"label\": \"carrot\"},\n {\"box_2d\": [427, 369, 455, 512], \"label\": \"carrot\"},\n {\"box_2d\": [453, 439, 488, 650], \"label\": \"carrot\"},\n {\"box_2d\": [458, 405, 522, 566], \"label\": \"carrot\"},\n {\"box_2d\": [427, 286, 519, 495], \"label\": \"carrot\"},\n {\"box_2d\": [472, 286, 527, 455], \"label\": \"carrot\"},\n {\"box_2d\": [523, 427, 553, 591], \"label\": \"carrot\"},\n {\"box_2d\": [533, 333, 588, 584], \"label\": \"carrot\"},\n {\"box_2d\": [488, 616, 567, 806], \"label\": \"carrot\"},\n {\"box_2d\": [573, 523, 609, 722], \"label\": \"carrot\"},\n {\"box_2d\": [608, 562, 642, 722], \"label\": \"carrot\"},\n {\"box_2d\": [630, 525, 686, 767], \"label\": \"carrot\"},\n {\"box_2d\": [534, 300, 659, 489], \"label\": \"carrot\"},\n {\"box_2d\": [628, 206, 669, 428], \"label\": \"carrot\"},\n {\"box_2d\": [480, 209, 623, 353], \"label\": \"carrot\"},\n {\"box_2d\": [498, 108, 634, 236], \"label\": \"carrot\"},\n {\"box_2d\": [375, 183, 509, 289], \"label\": \"carrot\"},\n {\"box_2d\": [355, 95, 492, 258], \"label\": \"carrot\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 963, "elapsed_seconds": 20.812529791961424, "metadata": {"match_method": "map", "num_predictions": 28, "num_ground_truth": 28, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 20.8382}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 75, "image": "egg-detection_image25_jpg.rf.5c4d3f7ce6887203cc33b5f86e849ef9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [74, 752, 144, 797], \"label\": \"egg\"},\n {\"box_2d\": [113, 715, 185, 764], \"label\": \"egg\"},\n {\"box_2d\": [89, 797, 159, 839], \"label\": \"egg\"},\n {\"box_2d\": [243, 395, 329, 453], \"label\": \"egg\"},\n {\"box_2d\": [264, 689, 349, 750], \"label\": \"egg\"},\n {\"box_2d\": [324, 661, 402, 712], \"label\": \"egg\"},\n {\"box_2d\": [373, 582, 466, 632], \"label\": \"egg\"},\n {\"box_2d\": [288, 811, 362, 853], \"label\": \"egg\"},\n {\"box_2d\": [400, 809, 472, 853], \"label\": \"egg\"},\n {\"box_2d\": [495, 444, 579, 504], \"label\": \"egg\"},\n {\"box_2d\": [565, 521, 646, 579], \"label\": \"egg\"},\n {\"box_2d\": [617, 485, 719, 533], \"label\": \"egg\"},\n {\"box_2d\": [685, 430, 760, 488], \"label\": \"egg\"},\n {\"box_2d\": [854, 600, 932, 654], \"label\": \"egg\"},\n {\"box_2d\": [847, 677, 920, 730], \"label\": \"egg\"},\n {\"box_2d\": [890, 710, 962, 755], \"label\": \"egg\"},\n {\"box_2d\": [836, 745, 904, 789], \"label\": \"egg\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 588, "elapsed_seconds": 30.679309875005856, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 17, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 30.8075}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 76, "image": "94D76C4A-9650-486B-8278-406A692F552F_jpg.rf.441749660b1bde146bfdbfa517d4e058.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [732, 206, 777, 246], \"label\": \"pill\"},\n {\"box_2d\": [615, 344, 659, 389], \"label\": \"pill\"},\n {\"box_2d\": [526, 303, 570, 347], \"label\": \"pill\"},\n {\"box_2d\": [469, 281, 513, 326], \"label\": \"pill\"},\n {\"box_2d\": [433, 238, 476, 281], \"label\": \"pill\"},\n {\"box_2d\": [427, 287, 469, 329], \"label\": \"pill\"},\n {\"box_2d\": [468, 331, 511, 374], \"label\": \"pill\"},\n {\"box_2d\": [387, 301, 430, 344], \"label\": \"pill\"},\n {\"box_2d\": [345, 275, 389, 318], \"label\": \"pill\"},\n {\"box_2d\": [364, 340, 407, 382], \"label\": \"pill\"},\n {\"box_2d\": [405, 360, 449, 404], \"label\": \"pill\"},\n {\"box_2d\": [513, 404, 557, 448], \"label\": \"pill\"},\n {\"box_2d\": [500, 486, 543, 530], \"label\": \"pill\"},\n {\"box_2d\": [603, 661, 648, 705], \"label\": \"pill\"},\n {\"box_2d\": [497, 634, 541, 678], \"label\": \"pill\"},\n {\"box_2d\": [485, 576, 530, 619], \"label\": \"pill\"},\n {\"box_2d\": [454, 677, 499, 721], \"label\": \"pill\"},\n {\"box_2d\": [452, 518, 495, 561], \"label\": \"pill\"},\n {\"box_2d\": [445, 587, 488, 631], \"label\": \"pill\"},\n {\"box_2d\": [424, 550, 467, 593], \"label\": \"pill\"},\n {\"box_2d\": [409, 510, 452, 554], \"label\": \"pill\"},\n {\"box_2d\": [416, 426, 460, 470], \"label\": \"pill\"},\n {\"box_2d\": [385, 457, 428, 499], \"label\": \"pill\"},\n {\"box_2d\": [322, 434, 366, 478], \"label\": \"pill\"},\n {\"box_2d\": [309, 475, 353, 518], \"label\": \"pill\"},\n {\"box_2d\": [362, 499, 405, 542], \"label\": \"pill\"},\n {\"box_2d\": [322, 519, 365, 562], \"label\": \"pill\"},\n {\"box_2d\": [361, 543, 404, 585], \"label\": \"pill\"},\n {\"box_2d\": [386, 580, 430, 623], \"label\": \"pill\"},\n {\"box_2d\": [387, 625, 431, 670], \"label\": \"pill\"},\n {\"box_2d\": [408, 668, 453, 713], \"label\": \"pill\"},\n {\"box_2d\": [362, 709, 406, 754], \"label\": \"pill\"},\n {\"box_2d\": [343, 640, 388, 684], \"label\": \"pill\"},\n {\"box_2d\": [318, 591, 362, 636], \"label\": \"pill\"},\n {\"box_2d\": [299, 661, 344, 706], \"label\": \"pill\"},\n {\"box_2d\": [269, 606, 314, 650], \"label\": \"pill\"},\n {\"box_2d\": [264, 563, 308, 606], \"label\": \"pill\"},\n {\"box_2d\": [268, 462, 311, 505], \"label\": \"pill\"},\n {\"box_2d\": [235, 437, 278, 479], \"label\": \"pill\"},\n {\"box_2d\": [196, 359, 240, 401], \"label\": \"pill\"},\n {\"box_2d\": [190, 414, 232, 456], \"label\": \"pill\"},\n {\"box_2d\": [182, 491, 225, 534], \"label\": \"pill\"},\n {\"box_2d\": [164, 578, 207, 621], \"label\": \"pill\"},\n {\"box_2d\": [166, 623, 210, 667], \"label\": \"pill\"},\n {\"box_2d\": [199, 661, 243, 706], \"label\": \"pill\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 1542, "elapsed_seconds": 52.459015708067454, "metadata": {"match_method": "map", "num_predictions": 45, "num_ground_truth": 45, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 52.9248}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 77, "image": "IMG_3989_JPG.rf.c4cc3b74f996b28db8e9373b455775a3.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [200, 275, 222, 288], \"label\": \"face\"},\n {\"box_2d\": [306, 332, 326, 344], \"label\": \"face\"},\n {\"box_2d\": [206, 309, 224, 321], \"label\": \"face\"},\n {\"box_2d\": [401, 597, 421, 611], \"label\": \"face\"},\n {\"box_2d\": [213, 336, 232, 346], \"label\": \"face\"},\n {\"box_2d\": [199, 246, 221, 259], \"label\": \"face\"},\n {\"box_2d\": [307, 381, 330, 394], \"label\": \"face\"},\n {\"box_2d\": [417, 412, 449, 430], \"label\": \"face\"},\n {\"box_2d\": [197, 232, 217, 242], \"label\": \"face\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 318, "elapsed_seconds": 29.25650862499606, "metadata": {"match_method": "map", "num_predictions": 9, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6083608269691467, "attempts": 1, "retries": 0, "total_seconds": 29.723}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 78, "image": "basketball-player-detection_boston-celtics-new-york-knicks-game-4-q1-01-22-01-16-0112_png.rf.813de841eef35ee5de0aa209e2d3e51f.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [562, 750, 588, 767], \"label\": \"jersey number\"},\n {\"box_2d\": [678, 279, 706, 290], \"label\": \"jersey number\"},\n {\"box_2d\": [291, 353, 491, 412], \"label\": \"player\"},\n {\"box_2d\": [278, 591, 463, 634], \"label\": \"player\"},\n {\"box_2d\": [556, 429, 582, 444], \"label\": \"jersey number\"},\n {\"box_2d\": [517, 401, 772, 452], \"label\": \"player\"},\n {\"box_2d\": [269, 767, 463, 804], \"label\": \"referee\"},\n {\"box_2d\": [273, 628, 292, 637], \"label\": \"jersey number\"},\n {\"box_2d\": [324, 223, 584, 319], \"label\": \"player\"},\n {\"box_2d\": [607, 250, 880, 314], \"label\": \"player\"},\n {\"box_2d\": [741, 596, 763, 608], \"label\": \"jersey number\"},\n {\"box_2d\": [244, 0, 436, 46], \"label\": \"referee\"},\n {\"box_2d\": [686, 576, 874, 622], \"label\": \"referee\"},\n {\"box_2d\": [306, 179, 598, 226], \"label\": \"player taking jump shot\"},\n {\"box_2d\": [624, 821, 822, 871], \"label\": \"player\"},\n {\"box_2d\": [224, 713, 286, 758], \"label\": \"basket rim\"},\n {\"box_2d\": [219, 225, 252, 245], \"label\": \"basketball\"},\n {\"box_2d\": [229, 304, 414, 360], \"label\": \"player\"},\n {\"box_2d\": [336, 379, 356, 389], \"label\": \"jersey number\"},\n {\"box_2d\": [223, 611, 376, 646], \"label\": \"player\"},\n {\"box_2d\": [397, 263, 416, 278], \"label\": \"jersey number\"},\n {\"box_2d\": [692, 840, 721, 853], \"label\": \"jersey number\"},\n {\"box_2d\": [306, 179, 598, 226], \"label\": \"player\"},\n {\"box_2d\": [512, 720, 728, 786], \"label\": \"player\"}\n]\n```", "correct": false, "input_tokens": 1251, "output_tokens": 840, "elapsed_seconds": 113.35311358305626, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 25, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7401815056800842, "attempts": 1, "retries": 0, "total_seconds": 113.4836}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 79, "image": "Screenshot-2024-05-16-150258_png.rf.730fbfcbd2cdbb24d8003d2a2cd88782.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [59, 773, 87, 799], \"label\": \"bullet hole\"},\n {\"box_2d\": [27, 892, 53, 913], \"label\": \"bullet hole\"},\n {\"box_2d\": [108, 898, 134, 922], \"label\": \"bullet hole\"},\n {\"box_2d\": [140, 816, 174, 847], \"label\": \"bullet hole\"},\n {\"box_2d\": [161, 686, 191, 718], \"label\": \"bullet hole\"},\n {\"box_2d\": [235, 742, 267, 773], \"label\": \"bullet hole\"},\n {\"box_2d\": [235, 907, 265, 941], \"label\": \"bullet hole\"},\n {\"box_2d\": [328, 799, 360, 835], \"label\": \"bullet hole\"},\n {\"box_2d\": [400, 725, 428, 761], \"label\": \"bullet hole\"},\n {\"box_2d\": [436, 619, 466, 653], \"label\": \"bullet hole\"},\n {\"box_2d\": [455, 818, 483, 852], \"label\": \"bullet hole\"},\n {\"box_2d\": [485, 697, 517, 731], \"label\": \"bullet hole\"},\n {\"box_2d\": [530, 790, 557, 826], \"label\": \"bullet hole\"},\n {\"box_2d\": [661, 686, 691, 718], \"label\": \"bullet hole\"},\n {\"box_2d\": [720, 894, 752, 928], \"label\": \"bullet hole\"},\n {\"box_2d\": [831, 930, 862, 962], \"label\": \"bullet hole\"},\n {\"box_2d\": [818, 847, 848, 879], \"label\": \"bullet hole\"},\n {\"box_2d\": [920, 919, 951, 953], \"label\": \"bullet hole\"},\n {\"box_2d\": [902, 610, 932, 642], \"label\": \"bullet hole\"},\n {\"box_2d\": [879, 356, 905, 388], \"label\": \"bullet hole\"},\n {\"box_2d\": [699, 417, 731, 449], \"label\": \"bullet hole\"},\n {\"box_2d\": [441, 223, 468, 254], \"label\": \"bullet hole\"},\n {\"box_2d\": [335, 0, 364, 25], \"label\": \"bullet hole\"},\n {\"box_2d\": [254, 483, 282, 513], \"label\": \"bullet hole\"},\n {\"box_2d\": [186, 347, 212, 377], \"label\": \"bullet hole\"},\n {\"box_2d\": [170, 193, 201, 225], \"label\": \"bullet hole\"},\n {\"box_2d\": [112, 102, 144, 133], \"label\": \"bullet hole\"},\n {\"box_2d\": [64, 15, 95, 44], \"label\": \"bullet hole\"},\n {\"box_2d\": [0, 610, 25, 640], \"label\": \"bullet hole\"},\n {\"box_2d\": [350, 977, 381, 1000], \"label\": \"bullet hole\"}\n]\n```", "correct": false, "input_tokens": 1226, "output_tokens": 1049, "elapsed_seconds": 45.52277104102541, "metadata": {"match_method": "map", "num_predictions": 30, "num_ground_truth": 30, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3297579884529114, "attempts": 1, "retries": 0, "total_seconds": 45.5374}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 80, "image": "AF6880-9_2025_NCPT-128_JPG_jpg.rf.58feab8edece278692e9ee124939da54.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [219, 197, 297, 224], \"label\": \"potato\"},\n {\"box_2d\": [28, 250, 88, 269], \"label\": \"potato\"},\n {\"box_2d\": [265, 242, 351, 266], \"label\": \"potato\"},\n {\"box_2d\": [437, 194, 505, 223], \"label\": \"potato\"},\n {\"box_2d\": [505, 195, 574, 225], \"label\": \"potato\"},\n {\"box_2d\": [572, 189, 642, 224], \"label\": \"potato\"},\n {\"box_2d\": [641, 184, 732, 224], \"label\": \"potato\"},\n {\"box_2d\": [729, 190, 845, 234], \"label\": \"potato\"},\n {\"box_2d\": [416, 232, 517, 271], \"label\": \"potato\"},\n {\"box_2d\": [572, 228, 653, 268], \"label\": \"potato\"},\n {\"box_2d\": [303, 279, 381, 310], \"label\": \"potato\"},\n {\"box_2d\": [151, 285, 241, 317], \"label\": \"potato\"},\n {\"box_2d\": [380, 274, 469, 316], \"label\": \"potato\"},\n {\"box_2d\": [495, 272, 586, 311], \"label\": \"potato\"},\n {\"box_2d\": [584, 281, 639, 308], \"label\": \"potato\"},\n {\"box_2d\": [638, 273, 725, 311], \"label\": \"potato\"},\n {\"box_2d\": [852, 271, 970, 318], \"label\": \"potato\"},\n {\"box_2d\": [905, 224, 1000, 266], \"label\": \"potato\"},\n {\"box_2d\": [909, 322, 987, 352], \"label\": \"potato\"},\n {\"box_2d\": [791, 320, 905, 364], \"label\": \"potato\"},\n {\"box_2d\": [713, 316, 795, 352], \"label\": \"potato\"},\n {\"box_2d\": [602, 316, 721, 364], \"label\": \"potato\"},\n {\"box_2d\": [502, 315, 597, 360], \"label\": \"potato\"},\n {\"box_2d\": [332, 309, 456, 359], \"label\": \"potato\"},\n {\"box_2d\": [240, 327, 336, 361], \"label\": \"potato\"},\n {\"box_2d\": [168, 325, 242, 357], \"label\": \"potato\"},\n {\"box_2d\": [92, 324, 170, 357], \"label\": \"potato\"},\n {\"box_2d\": [5, 322, 94, 360], \"label\": \"potato\"},\n {\"box_2d\": [27, 377, 83, 401], \"label\": \"potato\"},\n {\"box_2d\": [80, 368, 171, 406], \"label\": \"potato\"},\n {\"box_2d\": [170, 357, 294, 406], \"label\": \"potato\"},\n {\"box_2d\": [317, 359, 421, 406], \"label\": \"potato\"},\n {\"box_2d\": [419, 351, 527, 404], \"label\": \"potato\"},\n {\"box_2d\": [525, 366, 613, 404], \"label\": \"potato\"},\n {\"box_2d\": [727, 364, 841, 400], \"label\": \"potato\"},\n {\"box_2d\": [836, 368, 900, 391], \"label\": \"potato\"},\n {\"box_2d\": [839, 410, 929, 441], \"label\": \"potato\"},\n {\"box_2d\": [779, 410, 843, 437], \"label\": \"potato\"},\n {\"box_2d\": [664, 404, 783, 449], \"label\": \"potato\"},\n {\"box_2d\": [823, 446, 924, 486], \"label\": \"potato\"},\n {\"box_2d\": [932, 451, 1000, 485], \"label\": \"potato\"},\n {\"box_2d\": [842, 485, 952, 532], \"label\": \"potato\"},\n {\"box_2d\": [685, 448, 790, 490], \"label\": \"potato\"},\n {\"box_2d\": [579, 451, 688, 494], \"label\": \"potato\"},\n {\"box_2d\": [508, 452, 581, 487], \"label\": \"potato\"},\n {\"box_2d\": [442, 407, 553, 452], \"label\": \"potato\"},\n {\"box_2d\": [406, 447, 509, 491], \"label\": \"potato\"},\n {\"box_2d\": [314, 409, 405, 445], \"label\": \"potato\"},\n {\"box_2d\": [278, 421, 316, 439], \"label\": \"potato\"},\n {\"box_2d\": [151, 407, 263, 447], \"label\": \"potato\"},\n {\"box_2d\": [32, 408, 152, 457], \"label\": \"potato\"},\n {\"box_2d\": [9, 424, 37, 443], \"label\": \"potato\"},\n {\"box_2d\": [71, 466, 113, 486], \"label\": \"potato\"},\n {\"box_2d\": [109, 455, 200, 490], \"label\": \"potato\"},\n {\"box_2d\": [265, 450, 364, 492], \"label\": \"potato\"},\n {\"box_2d\": [256, 503, 345, 539], \"label\": \"potato\"},\n {\"box_2d\": [363, 495, 468, 535], \"label\": \"potato\"},\n {\"box_2d\": [468, 499, 555, 533], \"label\": \"potato\"},\n {\"box_2d\": [558, 496, 642, 528], \"label\": \"potato\"},\n {\"box_2d\": [495, 532, 615, 576], \"label\": \"potato\"},\n {\"box_2d\": [686, 539, 796, 583], \"label\": \"potato\"},\n {\"box_2d\": [886, 584, 970, 612], \"label\": \"potato\"},\n {\"box_2d\": [391, 540, 493, 579], \"label\": \"potato\"},\n {\"box_2d\": [288, 545, 375, 578], \"label\": \"potato\"},\n {\"box_2d\": [213, 548, 290, 578], \"label\": \"potato\"},\n {\"box_2d\": [122, 500, 217, 541], \"label\": \"potato\"},\n {\"box_2d\": [38, 503, 124, 539], \"label\": \"potato\"},\n {\"box_2d\": [0, 539, 113, 591], \"label\": \"potato\"},\n {\"box_2d\": [110, 542, 220, 591], \"label\": \"potato\"},\n {\"box_2d\": [3, 590, 111, 634], \"label\": \"potato\"},\n {\"box_2d\": [122, 589, 222, 631], \"label\": \"potato\"},\n {\"box_2d\": [38, 631, 138, 668], \"label\": \"potato\"},\n {\"box_2d\": [399, 588, 504, 624], \"label\": \"potato\"},\n {\"box_2d\": [491, 625, 600, 661], \"label\": \"potato\"},\n {\"box_2d\": [607, 630, 715, 665], \"label\": \"potato\"},\n {\"box_2d\": [773, 675, 838, 699], \"label\": \"potato\"},\n {\"box_2d\": [511, 678, 572, 703], \"label\": \"potato\"},\n {\"box_2d\": [478, 707, 581, 748], \"label\": \"potato\"},\n {\"box_2d\": [215, 670, 333, 717], \"label\": \"potato\"},\n {\"box_2d\": [209, 720, 304, 757], \"label\": \"potato\"},\n {\"box_2d\": [94, 722, 159, 750], \"label\": \"potato\"},\n {\"box_2d\": [115, 761, 237, 812], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 2781, "elapsed_seconds": 130.1939692919841, "metadata": {"match_method": "map", "num_predictions": 82, "num_ground_truth": 82, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 130.8972}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 81, "image": "GP010253_JPG_jpg.rf.617173565602dbb2684e6af5ddab9032.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [727, 697, 888, 869], \"label\": \"carrot\"},\n {\"box_2d\": [545, 686, 811, 756], \"label\": \"carrot\"},\n {\"box_2d\": [633, 625, 839, 717], \"label\": \"carrot\"},\n {\"box_2d\": [561, 612, 811, 653], \"label\": \"carrot\"},\n {\"box_2d\": [455, 541, 738, 628], \"label\": \"carrot\"},\n {\"box_2d\": [566, 520, 789, 573], \"label\": \"carrot\"},\n {\"box_2d\": [520, 439, 766, 495], \"label\": \"carrot\"},\n {\"box_2d\": [483, 425, 667, 528], \"label\": \"carrot\"},\n {\"box_2d\": [483, 350, 558, 561], \"label\": \"carrot\"},\n {\"box_2d\": [447, 305, 639, 370], \"label\": \"carrot\"},\n {\"box_2d\": [412, 725, 645, 800], \"label\": \"carrot\"},\n {\"box_2d\": [275, 381, 469, 573], \"label\": \"carrot\"},\n {\"box_2d\": [306, 480, 462, 783], \"label\": \"carrot\"},\n {\"box_2d\": [283, 505, 408, 773], \"label\": \"carrot\"},\n {\"box_2d\": [309, 606, 441, 802], \"label\": \"carrot\"},\n {\"box_2d\": [194, 725, 294, 862], \"label\": \"carrot\"},\n {\"box_2d\": [177, 355, 359, 495], \"label\": \"carrot\"},\n {\"box_2d\": [188, 392, 330, 514], \"label\": \"carrot\"},\n {\"box_2d\": [184, 416, 309, 711], \"label\": \"carrot\"},\n {\"box_2d\": [158, 398, 270, 695], \"label\": \"carrot\"},\n {\"box_2d\": [141, 559, 206, 858], \"label\": \"carrot\"},\n {\"box_2d\": [50, 541, 184, 872], \"label\": \"carrot\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 759, "elapsed_seconds": 39.979487291071564, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 40.008}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 82, "image": "1704195139272_jpg.rf.6a6621507dbbf3a3fbb417d17569c709.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [83, 661, 127, 709], \"label\": \"lentil grain\"},\n {\"box_2d\": [219, 570, 263, 617], \"label\": \"lentil grain\"},\n {\"box_2d\": [216, 344, 256, 385], \"label\": \"lentil grain\"},\n {\"box_2d\": [393, 378, 434, 421], \"label\": \"lentil grain\"},\n {\"box_2d\": [410, 563, 449, 608], \"label\": \"lentil grain\"},\n {\"box_2d\": [408, 619, 445, 662], \"label\": \"lentil grain\"},\n {\"box_2d\": [542, 423, 580, 463], \"label\": \"lentil grain\"},\n {\"box_2d\": [672, 612, 712, 656], \"label\": \"lentil grain\"},\n {\"box_2d\": [739, 389, 775, 429], \"label\": \"lentil grain\"},\n {\"box_2d\": [744, 730, 786, 780], \"label\": \"lentil grain\"},\n {\"box_2d\": [900, 403, 941, 447], \"label\": \"lentil grain\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 407, "elapsed_seconds": 6.119962165947072, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 6.1356}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 83, "image": "preannot1_326_png.rf.9e036dcc9355b37dec6ff1b3aff71d0b.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [598, 549, 613, 571], \"label\": \"tire spike normal\"},\n {\"box_2d\": [425, 434, 442, 458], \"label\": \"tire spike normal\"},\n {\"box_2d\": [612, 642, 628, 664], \"label\": \"tire spike normal\"},\n {\"box_2d\": [661, 675, 678, 697], \"label\": \"tire spike normal\"},\n {\"box_2d\": [725, 647, 742, 670], \"label\": \"tire spike normal\"},\n {\"box_2d\": [774, 673, 791, 696], \"label\": \"tire spike normal\"},\n {\"box_2d\": [833, 628, 847, 650], \"label\": \"tire spike normal\"},\n {\"box_2d\": [708, 424, 725, 449], \"label\": \"tire spike normal\"},\n {\"box_2d\": [737, 366, 753, 389], \"label\": \"tire spike normal\"},\n {\"box_2d\": [775, 315, 791, 338], \"label\": \"tire spike normal\"},\n {\"box_2d\": [610, 329, 624, 349], \"label\": \"tire spike normal\"},\n {\"box_2d\": [557, 365, 574, 386], \"label\": \"tire spike normal\"},\n {\"box_2d\": [491, 324, 508, 347], \"label\": \"tire spike normal\"},\n {\"box_2d\": [438, 329, 454, 350], \"label\": \"tire spike normal\"},\n {\"box_2d\": [329, 355, 346, 378], \"label\": \"tire spike normal\"},\n {\"box_2d\": [273, 316, 287, 337], \"label\": \"tire spike normal\"},\n {\"box_2d\": [228, 361, 243, 383], \"label\": \"tire spike normal\"},\n {\"box_2d\": [213, 436, 227, 457], \"label\": \"tire spike normal\"},\n {\"box_2d\": [167, 540, 182, 560], \"label\": \"tire spike normal\"},\n {\"box_2d\": [142, 325, 155, 345], \"label\": \"tire spike normal\"},\n {\"box_2d\": [107, 356, 118, 375], \"label\": \"tire spike normal\"},\n {\"box_2d\": [67, 620, 77, 636], \"label\": \"tire spike normal\"},\n {\"box_2d\": [184, 616, 198, 636], \"label\": \"tire spike normal\"},\n {\"box_2d\": [224, 666, 240, 687], \"label\": \"tire spike normal\"},\n {\"box_2d\": [280, 617, 294, 638], \"label\": \"tire spike normal\"},\n {\"box_2d\": [324, 660, 338, 678], \"label\": \"tire spike normal\"},\n {\"box_2d\": [387, 633, 403, 657], \"label\": \"tire spike normal\"},\n {\"box_2d\": [506, 624, 520, 643], \"label\": \"tire spike normal\"},\n {\"box_2d\": [862, 449, 875, 470], \"label\": \"tire spike normal\"},\n {\"box_2d\": [875, 381, 886, 400], \"label\": \"tire spike normal\"}\n]\n```", "correct": false, "input_tokens": 1202, "output_tokens": 1090, "elapsed_seconds": 27.144434040994383, "metadata": {"match_method": "map", "num_predictions": 30, "num_ground_truth": 42, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7128713130950928, "attempts": 1, "retries": 0, "total_seconds": 27.2706}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 84, "image": "fall-detection_cameraOne-blue-before_mp4-10_jpg.rf.e26a811f1502cc342db7badfe48642d4.jpg", "expected": "", "predicted": "```json\n[{\"box_2d\": [579, 546, 725, 728], \"label\": \"fallen person\"}]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 42, "elapsed_seconds": 33.68018825002946, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 33.697}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 85, "image": "IMG_3898_JPG.rf.7efec82c7f803d0db60f9543524df2d2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [751, 446, 902, 631], \"label\": \"5 poker chip\"},\n {\"box_2d\": [380, 456, 478, 600], \"label\": \"5 poker chip\"},\n {\"box_2d\": [680, 598, 820, 777], \"label\": \"10 poker chip\"},\n {\"box_2d\": [639, 360, 773, 534], \"label\": \"10 poker chip\"},\n {\"box_2d\": [363, 315, 458, 459], \"label\": \"10 poker chip\"},\n {\"box_2d\": [486, 237, 595, 394], \"label\": \"20 poker chip\"},\n {\"box_2d\": [551, 474, 672, 637], \"label\": \"50 poker chip\"},\n {\"box_2d\": [466, 393, 573, 545], \"label\": \"50 poker chip\"},\n {\"box_2d\": [413, 146, 513, 295], \"label\": \"50 poker chip\"},\n {\"box_2d\": [355, 734, 451, 882], \"label\": \"100 poker chip\"},\n {\"box_2d\": [303, 610, 393, 754], \"label\": \"100 poker chip\"},\n {\"box_2d\": [330, 81, 422, 223], \"label\": \"100 poker chip\"},\n {\"box_2d\": [396, 603, 494, 754], \"label\": \"500 poker chip\"},\n {\"box_2d\": [307, 221, 395, 359], \"label\": \"500 poker chip\"},\n {\"box_2d\": [492, 606, 604, 767], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [595, 211, 720, 380], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [588, 703, 713, 875], \"label\": \"10000 poker chip\"}\n]\n```", "correct": true, "input_tokens": 1252, "output_tokens": 650, "elapsed_seconds": 75.25053654098883, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 18, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9579207897186279, "attempts": 1, "retries": 0, "total_seconds": 76.1179}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 86, "image": "2024-12-05T02-00-59-875Z-1008_jpg.rf.e6de2a9a15084a14389fc0bcc250e3a1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [291, 459, 378, 520], \"label\": \"screw\"},\n {\"box_2d\": [742, 792, 807, 836], \"label\": \"screw\"},\n {\"box_2d\": [637, 932, 699, 975], \"label\": \"screw\"},\n {\"box_2d\": [641, 828, 798, 941], \"label\": \"wire hole\"}\n]\n```", "correct": true, "input_tokens": 1203, "output_tokens": 149, "elapsed_seconds": 39.866979958023876, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 6, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8019801378250122, "attempts": 1, "retries": 0, "total_seconds": 40.0896}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 87, "image": "IMG_20220316_165535_jpg.rf.b4968ac9965090df369ee94c30225977.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [631, 108, 974, 428], \"label\": \"ten of diamonds\"},\n {\"box_2d\": [381, 175, 708, 479], \"label\": \"king of diamonds\"},\n {\"box_2d\": [419, 472, 819, 726], \"label\": \"queen of diamonds\"},\n {\"box_2d\": [108, 309, 475, 591], \"label\": \"nine of diamonds\"},\n {\"box_2d\": [39, 539, 381, 796], \"label\": \"jack of diamonds\"}\n]\n```", "correct": true, "input_tokens": 1218, "output_tokens": 191, "elapsed_seconds": 17.3690054169856, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 17.4075}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 88, "image": "F64FE944-4E23-4E33-ABE4-44B45EEE879E_jpg.rf.4a9fc6077618a5882fd446c7da6c295e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [736, 94, 796, 198], \"label\": \"pill\"},\n {\"box_2d\": [682, 162, 779, 244], \"label\": \"pill\"},\n {\"box_2d\": [680, 217, 745, 321], \"label\": \"pill\"},\n {\"box_2d\": [725, 299, 788, 403], \"label\": \"pill\"},\n {\"box_2d\": [664, 358, 748, 453], \"label\": \"pill\"},\n {\"box_2d\": [782, 412, 838, 517], \"label\": \"pill\"},\n {\"box_2d\": [722, 467, 807, 563], \"label\": \"pill\"},\n {\"box_2d\": [718, 543, 808, 634], \"label\": \"pill\"},\n {\"box_2d\": [696, 632, 792, 721], \"label\": \"pill\"},\n {\"box_2d\": [798, 738, 892, 828], \"label\": \"pill\"},\n {\"box_2d\": [692, 694, 782, 788], \"label\": \"pill\"},\n {\"box_2d\": [680, 754, 734, 865], \"label\": \"pill\"},\n {\"box_2d\": [625, 536, 721, 619], \"label\": \"pill\"},\n {\"box_2d\": [631, 424, 718, 517], \"label\": \"pill\"},\n {\"box_2d\": [597, 459, 675, 557], \"label\": \"pill\"},\n {\"box_2d\": [638, 270, 674, 378], \"label\": \"pill\"},\n {\"box_2d\": [592, 290, 643, 396], \"label\": \"pill\"},\n {\"box_2d\": [589, 180, 672, 277], \"label\": \"pill\"},\n {\"box_2d\": [514, 128, 591, 229], \"label\": \"pill\"},\n {\"box_2d\": [433, 129, 521, 221], \"label\": \"pill\"},\n {\"box_2d\": [478, 256, 582, 315], \"label\": \"pill\"},\n {\"box_2d\": [476, 310, 581, 369], \"label\": \"pill\"},\n {\"box_2d\": [551, 391, 611, 495], \"label\": \"pill\"},\n {\"box_2d\": [532, 523, 615, 618], \"label\": \"pill\"},\n {\"box_2d\": [576, 592, 669, 681], \"label\": \"pill\"},\n {\"box_2d\": [507, 634, 613, 697], \"label\": \"pill\"},\n {\"box_2d\": [555, 695, 612, 805], \"label\": \"pill\"},\n {\"box_2d\": [431, 667, 517, 766], \"label\": \"pill\"},\n {\"box_2d\": [363, 621, 471, 680], \"label\": \"pill\"},\n {\"box_2d\": [356, 560, 463, 620], \"label\": \"pill\"},\n {\"box_2d\": [446, 504, 515, 606], \"label\": \"pill\"},\n {\"box_2d\": [489, 467, 555, 570], \"label\": \"pill\"},\n {\"box_2d\": [456, 376, 550, 459], \"label\": \"pill\"},\n {\"box_2d\": [360, 371, 458, 450], \"label\": \"pill\"},\n {\"box_2d\": [387, 276, 480, 362], \"label\": \"pill\"},\n {\"box_2d\": [349, 241, 446, 323], \"label\": \"pill\"},\n {\"box_2d\": [380, 187, 484, 250], \"label\": \"pill\"},\n {\"box_2d\": [288, 154, 394, 209], \"label\": \"pill\"},\n {\"box_2d\": [276, 208, 383, 270], \"label\": \"pill\"},\n {\"box_2d\": [289, 289, 379, 383], \"label\": \"pill\"},\n {\"box_2d\": [244, 326, 324, 428], \"label\": \"pill\"},\n {\"box_2d\": [186, 238, 290, 315], \"label\": \"pill\"},\n {\"box_2d\": [176, 163, 281, 239], \"label\": \"pill\"},\n {\"box_2d\": [138, 297, 248, 351], \"label\": \"pill\"},\n {\"box_2d\": [184, 391, 284, 474], \"label\": \"pill\"},\n {\"box_2d\": [285, 417, 389, 490], \"label\": \"pill\"},\n {\"box_2d\": [259, 487, 369, 546], \"label\": \"pill\"},\n {\"box_2d\": [169, 524, 277, 597], \"label\": \"pill\"},\n {\"box_2d\": [300, 692, 387, 794], \"label\": \"pill\"},\n {\"box_2d\": [370, 841, 479, 899], \"label\": \"pill\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 1711, "elapsed_seconds": 158.39917474996764, "metadata": {"match_method": "map", "num_predictions": 50, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 159.014}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 89, "image": "20210326_152417_jpg.rf.49d888684dcb029777f91a35c5731fda.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [514, 678, 675, 839], \"label\": \"1 euro cent coin\"},\n {\"box_2d\": [723, 577, 906, 759], \"label\": \"2 euro cent coin\"},\n {\"box_2d\": [420, 80, 628, 294], \"label\": \"5 euro cent coin\"},\n {\"box_2d\": [653, 236, 905, 491], \"label\": \"2 euro coin\"},\n {\"box_2d\": [378, 395, 609, 630], \"label\": \"1 euro coin\"},\n {\"box_2d\": [200, 125, 397, 323], \"label\": \"10 euro cent coin\"},\n {\"box_2d\": [103, 369, 327, 591], \"label\": \"20 euro cent coin\"},\n {\"box_2d\": [203, 645, 445, 889], \"label\": \"50 euro cent coin\"}\n]\n```", "correct": true, "input_tokens": 1272, "output_tokens": 308, "elapsed_seconds": 10.551358458935283, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 10.5771}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 90, "image": "egg-detection_image33_jpg.rf.842de73d6f921d804acd1ea8a1f28413.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [746, 694, 822, 753], \"label\": \"egg\"},\n {\"box_2d\": [468, 428, 553, 491], \"label\": \"egg\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 80, "elapsed_seconds": 88.15831829200033, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 88.2958}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 91, "image": "uav20221018_ixfZ_3857_215_png.rf.8020e1329eefd7e68bf3f7c0394e8bdf.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [773, 779, 804, 807], \"label\": \"banana tree\"},\n {\"box_2d\": [797, 720, 840, 767], \"label\": \"banana tree\"},\n {\"box_2d\": [736, 724, 767, 753], \"label\": \"banana tree\"},\n {\"box_2d\": [703, 779, 738, 815], \"label\": \"banana tree\"},\n {\"box_2d\": [666, 725, 697, 753], \"label\": \"banana tree\"},\n {\"box_2d\": [618, 769, 658, 805], \"label\": \"banana tree\"},\n {\"box_2d\": [553, 772, 589, 809], \"label\": \"banana tree\"},\n {\"box_2d\": [529, 719, 558, 749], \"label\": \"banana tree\"},\n {\"box_2d\": [489, 770, 521, 803], \"label\": \"banana tree\"},\n {\"box_2d\": [406, 761, 449, 803], \"label\": \"banana tree\"},\n {\"box_2d\": [367, 699, 412, 738], \"label\": \"banana tree\"},\n {\"box_2d\": [336, 763, 376, 796], \"label\": \"banana tree\"},\n {\"box_2d\": [298, 693, 349, 746], \"label\": \"banana tree\"},\n {\"box_2d\": [269, 754, 307, 788], \"label\": \"banana tree\"},\n {\"box_2d\": [232, 687, 278, 733], \"label\": \"banana tree\"},\n {\"box_2d\": [191, 749, 238, 792], \"label\": \"banana tree\"},\n {\"box_2d\": [155, 691, 211, 742], \"label\": \"banana tree\"},\n {\"box_2d\": [123, 747, 173, 791], \"label\": \"banana tree\"},\n {\"box_2d\": [92, 684, 134, 728], \"label\": \"banana tree\"},\n {\"box_2d\": [47, 746, 98, 789], \"label\": \"banana tree\"},\n {\"box_2d\": [7, 682, 70, 729], \"label\": \"banana tree\"},\n {\"box_2d\": [46, 938, 102, 996], \"label\": \"banana tree\"},\n {\"box_2d\": [117, 945, 169, 997], \"label\": \"banana tree\"},\n {\"box_2d\": [186, 942, 230, 993], \"label\": \"banana tree\"},\n {\"box_2d\": [254, 946, 294, 990], \"label\": \"banana tree\"},\n {\"box_2d\": [323, 949, 369, 998], \"label\": \"banana tree\"},\n {\"box_2d\": [454, 959, 505, 999], \"label\": \"banana tree\"},\n {\"box_2d\": [595, 954, 639, 998], \"label\": \"banana tree\"},\n {\"box_2d\": [666, 966, 705, 998], \"label\": \"banana tree\"},\n {\"box_2d\": [731, 967, 777, 998], \"label\": \"banana tree\"},\n {\"box_2d\": [869, 723, 920, 764], \"label\": \"banana tree\"},\n {\"box_2d\": [838, 777, 869, 809], \"label\": \"banana tree\"},\n {\"box_2d\": [909, 787, 941, 821], \"label\": \"banana tree\"},\n {\"box_2d\": [934, 732, 976, 767], \"label\": \"banana tree\"},\n {\"box_2d\": [802, 972, 838, 999], \"label\": \"banana tree\"},\n {\"box_2d\": [878, 976, 910, 999], \"label\": \"banana tree\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 1265, "elapsed_seconds": 24.35321929201018, "metadata": {"match_method": "map", "num_predictions": 36, "num_ground_truth": 41, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8011817336082458, "attempts": 1, "retries": 0, "total_seconds": 24.4611}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 92, "image": "DJI_0151_JPG_jpg.rf.3936c799be65e9829061aeb413261c06.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [478, 345, 678, 405], \"label\": \"excavator\"},\n {\"box_2d\": [0, 629, 495, 706], \"label\": \"tower crane\"},\n {\"box_2d\": [160, 427, 211, 487], \"label\": \"concrete mixer\"},\n {\"box_2d\": [162, 338, 211, 391], \"label\": \"dump truck\"},\n {\"box_2d\": [126, 60, 173, 108], \"label\": \"concrete mixer\"}\n]\n```", "correct": true, "input_tokens": 1245, "output_tokens": 185, "elapsed_seconds": 221.0400802079821, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 221.5716}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 93, "image": "55_jpeg_jpg.rf.004155dfb8cf69dfe8eec1fad7b643e0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [713, 0, 798, 97], \"label\": \"potato\"},\n {\"box_2d\": [922, 0, 973, 14], \"label\": \"potato\"},\n {\"box_2d\": [65, 321, 183, 434], \"label\": \"potato\"},\n {\"box_2d\": [694, 349, 850, 432], \"label\": \"potato\"},\n {\"box_2d\": [903, 368, 991, 456], \"label\": \"potato\"},\n {\"box_2d\": [478, 520, 621, 635], \"label\": \"potato\"},\n {\"box_2d\": [708, 585, 800, 680], \"label\": \"potato\"},\n {\"box_2d\": [884, 616, 984, 718], \"label\": \"potato\"},\n {\"box_2d\": [478, 646, 580, 747], \"label\": \"potato\"},\n {\"box_2d\": [244, 804, 386, 910], \"label\": \"potato\"},\n {\"box_2d\": [478, 808, 574, 909], \"label\": \"potato\"},\n {\"box_2d\": [680, 840, 780, 919], \"label\": \"potato\"},\n {\"box_2d\": [63, 911, 179, 999], \"label\": \"potato\"},\n {\"box_2d\": [454, 960, 550, 998], \"label\": \"potato\"},\n {\"box_2d\": [633, 981, 750, 998], \"label\": \"potato\"},\n {\"box_2d\": [869, 986, 922, 998], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1240, "output_tokens": 548, "elapsed_seconds": 38.58077379106544, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 38.6226}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 94, "image": "2024-12-05T02-01-39-892Z-3009_jpg.rf.22fd37099b783ab1f80e4172f8bb073a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [553, 309, 675, 412], \"label\": \"retaining clip\"},\n {\"box_2d\": [461, 493, 594, 583], \"label\": \"retaining clip\"},\n {\"box_2d\": [366, 677, 485, 766], \"label\": \"retaining clip\"},\n {\"box_2d\": [647, 634, 779, 738], \"label\": \"retaining clip\"}\n]\n```", "correct": true, "input_tokens": 1201, "output_tokens": 156, "elapsed_seconds": 22.62242733302992, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 22.9205}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 95, "image": "IMG_20251126_160341_jpg.rf.90a2111f9611ba9b2da6fb1312d0ef72.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 336, 200, 426], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [654, 922, 750, 995], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [656, 830, 754, 904], \"label\": \"white standard price tag\"},\n {\"box_2d\": [661, 699, 761, 771], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [661, 587, 761, 658], \"label\": \"white standard price tag\"},\n {\"box_2d\": [650, 492, 926, 563], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [674, 386, 776, 456], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [683, 297, 783, 369], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [689, 206, 793, 277], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [693, 108, 798, 179], \"label\": \"yellow standard price tag\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 380, "elapsed_seconds": 118.17484420794062, "metadata": {"match_method": "map", "num_predictions": 10, "num_ground_truth": 10, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 118.545}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 96, "image": "tile_267_jpg.rf.d3e282883cf21b5fa393f473090fd4b9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [598, 444, 839, 690], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [826, 152, 999, 396], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [41, 314, 286, 504], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [298, 514, 540, 704], \"label\": \"ship in SAR satellite image\"}\n]\n```", "correct": true, "input_tokens": 1229, "output_tokens": 163, "elapsed_seconds": 6.306456417078152, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 6.3411}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 97, "image": "IMG_20250815_165441_jpg.rf.4c737e973da64b017b0e386f2b455f62.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [771, 706, 851, 746], \"label\": \"barcode\"},\n {\"box_2d\": [828, 256, 864, 304], \"label\": \"barcode\"},\n {\"box_2d\": [219, 444, 314, 491], \"label\": \"barcode\"},\n {\"box_2d\": [193, 629, 234, 672], \"label\": \"barcode\"},\n {\"box_2d\": [680, 65, 720, 117], \"label\": \"barcode\"},\n {\"box_2d\": [741, 551, 825, 594], \"label\": \"barcode\"},\n {\"box_2d\": [213, 179, 311, 232], \"label\": \"barcode\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 249, "elapsed_seconds": 51.6849289170932, "metadata": {"match_method": "map", "num_predictions": 7, "num_ground_truth": 7, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 52.0946}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 98, "image": "Lego_63_low_jpeg.rf.6dd24c9abacc96bac5fb5a7d9ce3f907.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [583, 323, 669, 411], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [278, 315, 339, 405], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [776, 421, 860, 533], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [711, 588, 749, 684], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [603, 905, 697, 1000], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [468, 537, 571, 610], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [293, 579, 396, 651], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [166, 672, 265, 712], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [202, 864, 298, 938], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [581, 253, 663, 331], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [826, 265, 907, 365], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [411, 788, 492, 855], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [173, 709, 250, 762], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [497, 371, 594, 430], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [99, 428, 206, 530], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [672, 412, 766, 511], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [765, 86, 854, 181], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [677, 777, 728, 873], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [670, 673, 750, 735], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [48, 196, 136, 295], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [182, 104, 269, 189], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [58, 670, 152, 777], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [620, 44, 725, 143], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [200, 13, 308, 105], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [445, 725, 519, 777], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [711, 730, 796, 809], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [213, 352, 281, 453], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [28, 752, 132, 822], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [394, 316, 466, 430], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [742, 788, 845, 888], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [222, 795, 307, 875], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [603, 579, 707, 662], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [457, 835, 533, 916], \"label\": \"lego 3x2 brick\"}\n]\n```", "correct": true, "input_tokens": 1244, "output_tokens": 1293, "elapsed_seconds": 36.51923379197251, "metadata": {"match_method": "map", "num_predictions": 33, "num_ground_truth": 34, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8858085870742798, "attempts": 1, "retries": 0, "total_seconds": 36.6087}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 99, "image": "frame_0085_jpg.rf.df2f77641da4fa475877d40e14103949.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [132, 229, 198, 268], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [272, 229, 342, 271], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [261, 130, 326, 174], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [376, 107, 452, 161], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [464, 107, 535, 155], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [417, 234, 487, 281], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [160, 345, 220, 381], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [229, 428, 309, 471], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [317, 353, 391, 396], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [436, 356, 499, 394], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [423, 467, 485, 505], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [529, 340, 597, 386], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [676, 228, 807, 272], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [703, 347, 795, 389], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [637, 473, 738, 522], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [779, 577, 885, 617], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [864, 472, 920, 515], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [848, 339, 932, 387], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [886, 211, 964, 258], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [802, 77, 886, 130], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [590, 84, 672, 136], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [341, 552, 403, 586], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [182, 609, 236, 642], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [368, 675, 434, 710], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [49, 339, 123, 384], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [24, 247, 76, 289], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [44, 139, 108, 181], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [140, 112, 205, 153], \"label\": \"garlic on conveyor\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 1014, "elapsed_seconds": 69.54190104198642, "metadata": {"match_method": "map", "num_predictions": 28, "num_ground_truth": 28, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 69.6764}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 100, "image": "basketball-player-detection_boston-celtics-new-york-knicks-game-4-q1-00-05-00-01-0115_png.rf.268163bdbdd382dbeaa9df9d19cf50ae.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [771, 179, 800, 194], \"label\": \"jersey number\"},\n {\"box_2d\": [387, 563, 405, 576], \"label\": \"jersey number\"},\n {\"box_2d\": [504, 746, 526, 759], \"label\": \"jersey number\"},\n {\"box_2d\": [356, 165, 372, 177], \"label\": \"jersey number\"},\n {\"box_2d\": [314, 107, 456, 161], \"label\": \"player\"},\n {\"box_2d\": [669, 849, 692, 860], \"label\": \"jersey number\"},\n {\"box_2d\": [336, 541, 535, 610], \"label\": \"player\"},\n {\"box_2d\": [295, 712, 336, 750], \"label\": \"basket rim\"},\n {\"box_2d\": [276, 338, 456, 378], \"label\": \"referee\"},\n {\"box_2d\": [721, 297, 880, 326], \"label\": \"referee\"},\n {\"box_2d\": [556, 748, 790, 809], \"label\": \"player\"},\n {\"box_2d\": [703, 167, 962, 236], \"label\": \"player\"},\n {\"box_2d\": [448, 735, 676, 777], \"label\": \"player\"},\n {\"box_2d\": [315, 522, 488, 567], \"label\": \"player\"},\n {\"box_2d\": [306, 146, 513, 198], \"label\": \"player\"},\n {\"box_2d\": [539, 360, 761, 404], \"label\": \"player\"},\n {\"box_2d\": [461, 710, 646, 753], \"label\": \"player\"},\n {\"box_2d\": [610, 811, 845, 872], \"label\": \"player\"}\n]\n```", "correct": false, "input_tokens": 1250, "output_tokens": 632, "elapsed_seconds": 68.37121625000145, "metadata": {"match_method": "map", "num_predictions": 18, "num_ground_truth": 25, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3696369528770447, "attempts": 1, "retries": 0, "total_seconds": 68.5019}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 101, "image": "construction-safety_ppe_0720_jpg.rf.cfd070890ac09790250bebd1b430d69f.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [235, 1, 991, 86], \"label\": \"person\"},\n {\"box_2d\": [190, 294, 991, 405], \"label\": \"person\"},\n {\"box_2d\": [140, 899, 232, 980], \"label\": \"safety helmet\"},\n {\"box_2d\": [324, 399, 598, 487], \"label\": \"safety vest\"},\n {\"box_2d\": [204, 159, 989, 272], \"label\": \"person\"},\n {\"box_2d\": [321, 168, 595, 250], \"label\": \"safety vest\"},\n {\"box_2d\": [243, 563, 983, 666], \"label\": \"person\"},\n {\"box_2d\": [397, 81, 656, 166], \"label\": \"safety vest\"},\n {\"box_2d\": [254, 744, 545, 839], \"label\": \"safety vest\"},\n {\"box_2d\": [240, 577, 304, 625], \"label\": \"safety helmet\"},\n {\"box_2d\": [324, 829, 637, 902], \"label\": \"safety vest\"},\n {\"box_2d\": [193, 677, 263, 728], \"label\": \"safety helmet\"},\n {\"box_2d\": [117, 738, 986, 845], \"label\": \"person\"},\n {\"box_2d\": [288, 96, 355, 141], \"label\": \"safety helmet\"},\n {\"box_2d\": [187, 329, 257, 377], \"label\": \"safety helmet\"},\n {\"box_2d\": [327, 483, 578, 566], \"label\": \"safety vest\"},\n {\"box_2d\": [237, 13, 302, 59], \"label\": \"safety helmet\"},\n {\"box_2d\": [117, 745, 207, 804], \"label\": \"safety helmet\"},\n {\"box_2d\": [327, 661, 601, 746], \"label\": \"safety vest\"},\n {\"box_2d\": [265, 259, 338, 305], \"label\": \"safety helmet\"},\n {\"box_2d\": [209, 419, 274, 466], \"label\": \"safety helmet\"},\n {\"box_2d\": [204, 476, 972, 573], \"label\": \"person\"},\n {\"box_2d\": [148, 808, 223, 853], \"label\": \"safety helmet\"},\n {\"box_2d\": [360, 0, 628, 76], \"label\": \"safety vest\"},\n {\"box_2d\": [204, 184, 271, 230], \"label\": \"safety helmet\"},\n {\"box_2d\": [265, 238, 983, 324], \"label\": \"person\"},\n {\"box_2d\": [209, 395, 983, 495], \"label\": \"person\"},\n {\"box_2d\": [179, 823, 986, 907], \"label\": \"person\"},\n {\"box_2d\": [179, 837, 265, 896], \"label\": \"safety helmet\"},\n {\"box_2d\": [380, 251, 617, 314], \"label\": \"safety vest\"},\n {\"box_2d\": [327, 307, 578, 405], \"label\": \"safety vest\"},\n {\"box_2d\": [134, 874, 989, 999], \"label\": \"person\"},\n {\"box_2d\": [307, 888, 670, 998], \"label\": \"safety vest\"},\n {\"box_2d\": [291, 75, 983, 181], \"label\": \"person\"},\n {\"box_2d\": [190, 651, 989, 755], \"label\": \"person\"},\n {\"box_2d\": [363, 572, 601, 646], \"label\": \"safety vest\"},\n {\"box_2d\": [207, 492, 274, 540], \"label\": \"safety helmet\"}\n]\n```", "correct": true, "input_tokens": 1198, "output_tokens": 1284, "elapsed_seconds": 13.61669516703114, "metadata": {"match_method": "map", "num_predictions": 37, "num_ground_truth": 38, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9735973477363586, "attempts": 1, "retries": 0, "total_seconds": 13.6529}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 102, "image": "fabric-defect_1213_jpg.rf.f4cb351d5d6f226d23075b9a6a549416.jpg", "expected": "", "predicted": "```json\n[{\"box_2d\": [468, 725, 591, 775], \"label\": \"fabric cut\"}, {\"box_2d\": [579, 412, 616, 444], \"label\": \"fabric cut\"}]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 75, "elapsed_seconds": 5.567316166940145, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 5.58}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 103, "image": "indir-2-_jpeg_jpg.rf.cabde9f9d89b7527f52820f6df64e1b7.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [757, 251, 775, 344], \"label\": \"dimension annotation\"},\n {\"box_2d\": [618, 754, 678, 888], \"label\": \"dimension annotation\"},\n {\"box_2d\": [752, 661, 804, 750], \"label\": \"dimension annotation\"},\n {\"box_2d\": [812, 581, 844, 646], \"label\": \"dimension annotation\"},\n {\"box_2d\": [703, 55, 845, 249], \"label\": \"dimension annotation\"},\n {\"box_2d\": [674, 53, 709, 113], \"label\": \"dimension annotation\"},\n {\"box_2d\": [572, 180, 634, 290], \"label\": \"dimension annotation\"},\n {\"box_2d\": [416, 87, 480, 159], \"label\": \"dimension annotation\"},\n {\"box_2d\": [529, 71, 576, 137], \"label\": \"dimension annotation\"},\n {\"box_2d\": [433, 305, 488, 391], \"label\": \"dimension annotation\"},\n {\"box_2d\": [363, 245, 424, 581], \"label\": \"dimension annotation\"},\n {\"box_2d\": [423, 578, 577, 681], \"label\": \"dimension annotation\"},\n {\"box_2d\": [540, 412, 634, 517], \"label\": \"dimension annotation\"},\n {\"box_2d\": [574, 515, 635, 582], \"label\": \"dimension annotation\"},\n {\"box_2d\": [914, 207, 983, 976], \"label\": \"technical drawing table\"}\n]\n```", "correct": false, "input_tokens": 1233, "output_tokens": 534, "elapsed_seconds": 6.3546786670340225, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5201319456100464, "attempts": 1, "retries": 0, "total_seconds": 6.3681}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 104, "image": "wood-log-detection_019_png_jpg.rf.0c10ed1caffd0ca9926a3f2f5de3a24a.jpg", "expected": "", "predicted": "```json\n[{\"box_2d\": [151, 56, 211, 146], \"label\": \"log cross-section\"}, {\"box_2d\": [219, 102, 268, 165], \"label\": \"log cross-section\"}, {\"box_2d\": [264, 53, 314, 121], \"label\": \"log cross-section\"}, {\"box_2d\": [315, 68, 362, 134], \"label\": \"log cross-section\"}, {\"box_2d\": [393, 93, 446, 169], \"label\": \"log cross-section\"}, {\"box_2d\": [332, 132, 368, 177], \"label\": \"log cross-section\"}, {\"box_2d\": [280, 140, 319, 182], \"label\": \"log cross-section\"}, {\"box_2d\": [202, 165, 265, 253], \"label\": \"log cross-section\"}, {\"box_2d\": [188, 237, 224, 276], \"label\": \"log cross-section\"}, {\"box_2d\": [168, 287, 212, 344], \"label\": \"log cross-section\"}, {\"box_2d\": [209, 284, 236, 323], \"label\": \"log cross-section\"}, {\"box_2d\": [254, 281, 291, 330], \"label\": \"log cross-section\"}, {\"box_2d\": [288, 200, 369, 307], \"label\": \"log cross-section\"}, {\"box_2d\": [212, 329, 290, 420], \"label\": \"log cross-section\"}, {\"box_2d\": [170, 405, 205, 453], \"label\": \"log cross-section\"}, {\"box_2d\": [163, 362, 207, 407], \"label\": \"log cross-section\"}, {\"box_2d\": [166, 500, 229, 577], \"label\": \"log cross-section\"}, {\"box_2d\": [235, 418, 331, 551], \"label\": \"log cross-section\"}, {\"box_2d\": [229, 540, 299, 633], \"label\": \"log cross-section\"}, {\"box_2d\": [224, 672, 271, 732], \"label\": \"log cross-section\"}, {\"box_2d\": [224, 734, 278, 800], \"label\": \"log cross-section\"}, {\"box_2d\": [215, 809, 293, 892], \"label\": \"log cross-section\"}, {\"box_2d\": [278, 754, 311, 795], \"label\": \"log cross-section\"}, {\"box_2d\": [271, 658, 338, 739], \"label\": \"log cross-section\"}, {\"box_2d\": [303, 537, 372, 622], \"label\": \"log cross-section\"}, {\"box_2d\": [302, 777, 359, 845], \"label\": \"log cross-section\"}, {\"box_2d\": [324, 703, 388, 785], \"label\": \"log cross-section\"}, {\"box_2d\": [368, 806, 404, 853], \"label\": \"log cross-section\"}, {\"box_2d\": [351, 603, 430, 703], \"label\": \"log cross-section\"}, {\"box_2d\": [371, 501, 441, 586], \"label\": \"log cross-section\"}, {\"box_2d\": [356, 424, 398, 492], \"label\": \"log cross-section\"}, {\"box_2d\": [323, 322, 400, 431], \"label\": \"log cross-section\"}, {\"box_2d\": [348, 242, 400, 315], \"label\": \"log cross-section\"}, {\"box_2d\": [425, 273, 471, 332], \"label\": \"log cross-section\"}, {\"box_2d\": [397, 427, 430, 479], \"label\": \"log cross-section\"}, {\"box_2d\": [430, 414, 469, 466], \"label\": \"log cross-section\"}, {\"box_2d\": [455, 449, 513, 539], \"label\": \"log cross-section\"}, {\"box_2d\": [461, 358, 526, 442], \"label\": \"log cross-section\"}, {\"box_2d\": [468, 319, 496, 353], \"label\": \"log cross-section\"}, {\"box_2d\": [482, 267, 522, 321], \"label\": \"log cross-section\"}, {\"box_2d\": [438, 152, 528, 272], \"label\": \"log cross-section\"}, {\"box_2d\": [455, 91, 494, 144], \"label\": \"log cross-section\"}, {\"box_2d\": [495, 72, 558, 152], \"label\": \"log cross-section\"}, {\"box_2d\": [557, 79, 613, 150], \"label\": \"log cross-section\"}, {\"box_2d\": [530, 161, 560, 204], \"label\": \"log cross-section\"}, {\"box_2d\": [560, 168, 603, 219], \"label\": \"log cross-section\"}, {\"box_2d\": [602, 169, 639, 224], \"label\": \"log cross-section\"}, {\"box_2d\": [628, 66, 721, 195], \"label\": \"log cross-section\"}, {\"box_2d\": [595, 224, 646, 286], \"label\": \"log cross-section\"}, {\"box_2d\": [516, 213, 581, 302], \"label\": \"log cross-section\"}, {\"box_2d\": [504, 307, 566, 383], \"label\": \"log cross-section\"}, {\"box_2d\": [641, 203, 722, 322], \"label\": \"log cross-section\"}, {\"box_2d\": [692, 300, 724, 338], \"label\": \"log cross-section\"}, {\"box_2d\": [637, 325, 722, 452], \"label\": \"log cross-section\"}, {\"box_2d\": [579, 391, 625, 475], \"label\": \"log cross-section\"}, {\"box_2d\": [511, 487, 578, 577], \"label\": \"log cross-section\"}, {\"box_2d\": [466, 550, 519, 622], \"label\": \"log cross-section\"}, {\"box_2d\": [434, 620, 485, 691], \"label\": \"log cross-section\"}, {\"box_2d\": [482, 678, 515, 724], \"label\": \"log cross-section\"}, {\"box_2d\": [456, 722, 512, 792], \"label\": \"log cross-section\"}, {\"box_2d\": [440, 791, 472, 832], \"label\": \"log cross-section\"}, {\"box_2d\": [407, 899, 444, 946], \"label\": \"log cross-section\"}, {\"box_2d\": [469, 836, 499, 874], \"label\": \"log cross-section\"}, {\"box_2d\": [504, 856, 535, 895], \"label\": \"log cross-section\"}, {\"box_2d\": [525, 829, 551, 862], \"label\": \"log cross-section\"}, {\"box_2d\": [512, 773, 555, 820], \"label\": \"log cross-section\"}, {\"box_2d\": [512, 718, 556, 774], \"label\": \"log cross-section\"}, {\"box_2d\": [515, 641, 554, 686], \"label\": \"log cross-section\"}, {\"box_2d\": [546, 613, 598, 677], \"label\": \"log cross-section\"}, {\"box_2d\": [556, 691, 615, 772], \"label\": \"log cross-section\"}, {\"box_2d\": [558, 786, 600, 845], \"label\": \"log cross-section\"}, {\"box_2d\": [584, 845, 616, 886], \"label\": \"log cross-section\"}, {\"box_2d\": [603, 818, 641, 853], \"label\": \"log cross-section\"}, {\"box_2d\": [625, 830, 673, 889], \"label\": \"log cross-section\"}, {\"box_2d\": [614, 732, 665, 797], \"label\": \"log cross-section\"}, {\"box_2d\": [612, 673, 659, 730], \"label\": \"log cross-section\"}, {\"box_2d\": [654, 686, 679, 732], \"label\": \"log cross-section\"}, {\"box_2d\": [671, 844, 689, 876], \"label\": \"log cross-section\"}, {\"box_2d\": [689, 836, 719, 881], \"label\": \"log cross-section\"}, {\"box_2d\": [713, 792, 749, 832], \"label\": \"log cross-section\"}, {\"box_2d\": [688, 721, 720, 759], \"label\": \"log cross-section\"}, {\"box_2d\": [703, 639, 745, 687], \"label\": \"log cross-section\"}, {\"box_2d\": [708, 595, 747, 640], \"label\": \"log cross-section\"}, {\"box_2d\": [678, 475, 740, 554], \"label\": \"log cross-section\"}, {\"box_2d\": [635, 469, 670, 513], \"label\": \"log cross-section\"}, {\"box_2d\": [624, 520, 673, 583], \"label\": \"log cross-section\"}, {\"box_2d\": [634, 584, 675, 642], \"label\": \"log cross-section\"}, {\"box_2d\": [610, 578, 638, 620], \"label\": \"log cross-section\"}, {\"box_2d\": [579, 495, 625, 572], \"label\": \"log cross-section\"}, {\"box_2d\": [568, 572, 608, 613], \"label\": \"log cross-section\"}]\n```", "correct": true, "input_tokens": 1228, "output_tokens": 3151, "elapsed_seconds": 28.602754542022012, "metadata": {"match_method": "map", "num_predictions": 90, "num_ground_truth": 91, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9410340785980225, "attempts": 1, "retries": 0, "total_seconds": 28.6306}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 105, "image": "170571v_JPG_jpg.rf.044f16a58ffbf60b2d7a3d41cd3a4fdf.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [445, 459, 511, 672], \"label\": \"cracked insulator\"},\n {\"box_2d\": [498, 466, 571, 672], \"label\": \"cracked insulator\"},\n {\"box_2d\": [562, 463, 639, 677], \"label\": \"cracked insulator\"},\n {\"box_2d\": [713, 495, 780, 681], \"label\": \"cracked insulator\"},\n {\"box_2d\": [763, 487, 839, 685], \"label\": \"cracked insulator\"}\n]\n```", "correct": true, "input_tokens": 1244, "output_tokens": 192, "elapsed_seconds": 105.0929681659909, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 105.5987}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 106, "image": "IMG_20260128_081412_jpg.rf.4a044ae2d306c8ba7e741477be920225.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [70, 529, 152, 591], \"label\": \"white standard price tag\"},\n {\"box_2d\": [66, 667, 146, 728], \"label\": \"white standard price tag\"},\n {\"box_2d\": [699, 646, 775, 704], \"label\": \"white standard price tag\"},\n {\"box_2d\": [699, 723, 777, 783], \"label\": \"white standard price tag\"},\n {\"box_2d\": [703, 818, 783, 875], \"label\": \"white standard price tag\"},\n {\"box_2d\": [708, 894, 786, 950], \"label\": \"white standard price tag\"},\n {\"box_2d\": [694, 943, 945, 999], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [676, 560, 932, 626], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [670, 419, 926, 485], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [691, 326, 767, 386], \"label\": \"white standard price tag\"},\n {\"box_2d\": [686, 217, 759, 279], \"label\": \"white standard price tag\"},\n {\"box_2d\": [659, 44, 737, 108], \"label\": \"white standard price tag\"},\n {\"box_2d\": [54, 417, 134, 480], \"label\": \"white standard price tag\"},\n {\"box_2d\": [55, 336, 134, 399], \"label\": \"white standard price tag\"},\n {\"box_2d\": [52, 238, 131, 302], \"label\": \"white standard price tag\"},\n {\"box_2d\": [46, 145, 125, 211], \"label\": \"white standard price tag\"},\n {\"box_2d\": [41, 66, 127, 131], \"label\": \"white standard price tag\"},\n {\"box_2d\": [39, 0, 122, 46], \"label\": \"white standard price tag\"},\n {\"box_2d\": [79, 767, 159, 829], \"label\": \"white standard price tag\"},\n {\"box_2d\": [88, 848, 169, 909], \"label\": \"white standard price tag\"},\n {\"box_2d\": [81, 924, 157, 986], \"label\": \"white standard price tag\"}\n]\n```", "correct": true, "input_tokens": 1222, "output_tokens": 773, "elapsed_seconds": 109.93814374995418, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 21, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 110.4145}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 107, "image": "IMG_20220316_163220_jpg.rf.07e174636631b0be143879d240f8f468.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [288, 79, 756, 378], \"label\": \"three of diamonds\"},\n {\"box_2d\": [406, 81, 926, 405], \"label\": \"ace of diamonds\"},\n {\"box_2d\": [399, 396, 872, 731], \"label\": \"two of diamonds\"},\n {\"box_2d\": [153, 452, 636, 809], \"label\": \"four of diamonds\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 154, "elapsed_seconds": 10.424587290966883, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 10.4648}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 108, "image": "2e57b9_3_10_png_jpg.rf.93746b4a960366b1a012ad339a5d68e1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [746, 159, 811, 180], \"label\": \"player\"},\n {\"box_2d\": [575, 58, 625, 70], \"label\": \"player\"},\n {\"box_2d\": [581, 237, 628, 248], \"label\": \"player\"},\n {\"box_2d\": [474, 136, 513, 148], \"label\": \"goalkeeper\"},\n {\"box_2d\": [477, 213, 520, 224], \"label\": \"player\"},\n {\"box_2d\": [457, 217, 496, 229], \"label\": \"player\"},\n {\"box_2d\": [423, 263, 461, 272], \"label\": \"player\"},\n {\"box_2d\": [498, 283, 543, 297], \"label\": \"player\"},\n {\"box_2d\": [587, 349, 639, 360], \"label\": \"player\"},\n {\"box_2d\": [584, 438, 633, 447], \"label\": \"player\"},\n {\"box_2d\": [540, 463, 591, 476], \"label\": \"player\"},\n {\"box_2d\": [540, 495, 590, 504], \"label\": \"player\"},\n {\"box_2d\": [492, 480, 535, 489], \"label\": \"referee\"},\n {\"box_2d\": [471, 499, 512, 509], \"label\": \"player\"},\n {\"box_2d\": [445, 457, 484, 465], \"label\": \"player\"},\n {\"box_2d\": [414, 389, 448, 398], \"label\": \"player\"},\n {\"box_2d\": [376, 392, 405, 398], \"label\": \"player\"},\n {\"box_2d\": [404, 630, 439, 638], \"label\": \"player\"},\n {\"box_2d\": [405, 658, 439, 666], \"label\": \"player\"},\n {\"box_2d\": [451, 675, 491, 684], \"label\": \"player\"},\n {\"box_2d\": [535, 694, 581, 704], \"label\": \"player\"},\n {\"box_2d\": [689, 487, 749, 499], \"label\": \"player\"},\n {\"box_2d\": [910, 742, 987, 773], \"label\": \"referee\"},\n {\"box_2d\": [498, 159, 506, 164], \"label\": \"football\"}\n]\n```", "correct": false, "input_tokens": 1242, "output_tokens": 829, "elapsed_seconds": 15.45207208301872, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6534653306007385, "attempts": 1, "retries": 0, "total_seconds": 15.5841}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 109, "image": "img283_png.rf.c0609f1f38390a89165e7c735d693ab6.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [77, 366, 143, 450], \"label\": \"and gate symbol\"},\n {\"box_2d\": [29, 540, 96, 624], \"label\": \"and gate symbol\"},\n {\"box_2d\": [123, 540, 191, 624], \"label\": \"and gate symbol\"},\n {\"box_2d\": [219, 540, 286, 624], \"label\": \"and gate symbol\"},\n {\"box_2d\": [250, 366, 317, 450], \"label\": \"and gate symbol\"},\n {\"box_2d\": [329, 540, 396, 624], \"label\": \"and gate symbol\"},\n {\"box_2d\": [392, 393, 460, 477], \"label\": \"and gate symbol\"},\n {\"box_2d\": [488, 393, 554, 477], \"label\": \"and gate symbol\"},\n {\"box_2d\": [582, 393, 649, 477], \"label\": \"and gate symbol\"},\n {\"box_2d\": [678, 393, 744, 477], \"label\": \"and gate symbol\"},\n {\"box_2d\": [788, 366, 855, 450], \"label\": \"and gate symbol\"},\n {\"box_2d\": [914, 353, 982, 437], \"label\": \"and gate symbol\"},\n {\"box_2d\": [836, 555, 902, 639], \"label\": \"or gate symbol\"},\n {\"box_2d\": [630, 540, 697, 625], \"label\": \"or gate symbol\"},\n {\"box_2d\": [440, 540, 507, 625], \"label\": \"or gate symbol\"},\n {\"box_2d\": [535, 702, 602, 786], \"label\": \"and gate symbol\"},\n {\"box_2d\": [661, 862, 728, 947], \"label\": \"or gate symbol\"},\n {\"box_2d\": [171, 755, 238, 840], \"label\": \"or gate symbol\"},\n {\"box_2d\": [551, 144, 594, 187], \"label\": \"not gate symbol\"},\n {\"box_2d\": [551, 198, 594, 241], \"label\": \"not gate symbol\"},\n {\"box_2d\": [346, 36, 389, 79], \"label\": \"not gate symbol\"},\n {\"box_2d\": [346, 90, 389, 134], \"label\": \"not gate symbol\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 798, "elapsed_seconds": 9.662904915981926, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 9.6754}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 110, "image": "000002_png.rf.4f51fa98e7c1b825375b26d30324d587.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [173, 574, 189, 597], \"label\": \"tire spike normal\"},\n {\"box_2d\": [243, 642, 260, 667], \"label\": \"tire spike normal\"},\n {\"box_2d\": [334, 678, 351, 700], \"label\": \"tire spike normal\"},\n {\"box_2d\": [390, 745, 408, 769], \"label\": \"tire spike normal\"},\n {\"box_2d\": [464, 766, 483, 790], \"label\": \"tire spike normal\"},\n {\"box_2d\": [545, 780, 563, 804], \"label\": \"tire spike normal\"},\n {\"box_2d\": [614, 840, 632, 862], \"label\": \"tire spike normal\"},\n {\"box_2d\": [715, 835, 731, 859], \"label\": \"tire spike normal\"},\n {\"box_2d\": [765, 876, 781, 895], \"label\": \"tire spike normal\"},\n {\"box_2d\": [759, 496, 781, 526], \"label\": \"tire spike normal\"},\n {\"box_2d\": [572, 435, 590, 463], \"label\": \"tire spike normal\"},\n {\"box_2d\": [507, 378, 529, 405], \"label\": \"tire spike normal\"},\n {\"box_2d\": [410, 381, 429, 406], \"label\": \"tire spike normal\"},\n {\"box_2d\": [348, 327, 368, 352], \"label\": \"tire spike normal\"},\n {\"box_2d\": [250, 297, 271, 325], \"label\": \"tire spike absent\"},\n {\"box_2d\": [196, 246, 211, 270], \"label\": \"tire spike absent\"},\n {\"box_2d\": [153, 204, 168, 228], \"label\": \"tire spike absent\"}\n]\n```", "correct": false, "input_tokens": 1244, "output_tokens": 624, "elapsed_seconds": 15.849170499946922, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 25, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5841584205627441, "attempts": 1, "retries": 0, "total_seconds": 15.8803}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 111, "image": "20210325_203906_jpg.rf.933d9e03e479d146bb70034cc952f103.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [761, 434, 927, 605], \"label\": \"10 euro cent coin\"},\n {\"box_2d\": [541, 217, 742, 420], \"label\": \"1 euro coin\"},\n {\"box_2d\": [320, 72, 539, 291], \"label\": \"50 euro cent coin\"},\n {\"box_2d\": [153, 223, 302, 372], \"label\": \"1 euro cent coin\"},\n {\"box_2d\": [266, 366, 455, 555], \"label\": \"5 euro cent coin\"},\n {\"box_2d\": [125, 517, 300, 691], \"label\": \"2 euro cent coin\"},\n {\"box_2d\": [477, 458, 672, 656], \"label\": \"20 euro cent coin\"},\n {\"box_2d\": [331, 652, 567, 894], \"label\": \"2 euro coin\"}\n]\n```", "correct": true, "input_tokens": 1272, "output_tokens": 308, "elapsed_seconds": 6.825292875058949, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 6.8443}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 112, "image": "IMG_6680_jpeg_jpg.rf.a7e13dbe56d360a8422903a30c5bef2b.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [450, 29, 526, 198], \"label\": \"green poker chip\"},\n {\"box_2d\": [488, 28, 545, 200], \"label\": \"green poker chip\"},\n {\"box_2d\": [501, 32, 562, 204], \"label\": \"green poker chip\"},\n {\"box_2d\": [447, 227, 521, 382], \"label\": \"orange poker chip\"},\n {\"box_2d\": [482, 232, 541, 387], \"label\": \"orange poker chip\"},\n {\"box_2d\": [498, 215, 562, 369], \"label\": \"orange poker chip\"},\n {\"box_2d\": [445, 431, 517, 583], \"label\": \"red poker chip\"},\n {\"box_2d\": [473, 421, 537, 570], \"label\": \"red poker chip\"},\n {\"box_2d\": [496, 435, 558, 589], \"label\": \"red poker chip\"},\n {\"box_2d\": [448, 623, 520, 782], \"label\": \"blue poker chip\"},\n {\"box_2d\": [483, 622, 538, 782], \"label\": \"blue poker chip\"},\n {\"box_2d\": [504, 625, 563, 788], \"label\": \"blue poker chip\"},\n {\"box_2d\": [438, 802, 508, 970], \"label\": \"white poker chip\"},\n {\"box_2d\": [478, 813, 532, 988], \"label\": \"white poker chip\"},\n {\"box_2d\": [489, 811, 550, 987], \"label\": \"white poker chip\"}\n]\n```", "correct": true, "input_tokens": 1243, "output_tokens": 549, "elapsed_seconds": 13.156051250058226, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 13.1787}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 113, "image": "paper-parts_1947_92_jpg.rf.c89564b4b37a6d7828cc26ccdadbe488.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [99, 861, 113, 880], \"label\": \"page number\"},\n {\"box_2d\": [143, 236, 471, 764], \"label\": \"figure\"},\n {\"box_2d\": [485, 118, 518, 881], \"label\": \"figure caption\"},\n {\"box_2d\": [549, 267, 565, 732], \"label\": \"table caption\"},\n {\"box_2d\": [579, 226, 691, 774], \"label\": \"table\"},\n {\"box_2d\": [720, 118, 753, 881], \"label\": \"paragraph\"},\n {\"box_2d\": [776, 118, 790, 336], \"label\": \"subsection\"},\n {\"box_2d\": [804, 118, 837, 881], \"label\": \"paragraph\"},\n {\"box_2d\": [853, 427, 872, 571], \"label\": \"equation\"},\n {\"box_2d\": [888, 118, 906, 536], \"label\": \"paragraph\"}\n]\n```", "correct": true, "input_tokens": 1255, "output_tokens": 354, "elapsed_seconds": 34.981355208088644, "metadata": {"match_method": "map", "num_predictions": 10, "num_ground_truth": 10, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8749998807907104, "attempts": 1, "retries": 0, "total_seconds": 35.0403}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 114, "image": "160623_JPG_jpg.rf.4a3c396118b0f749044f2bf5dc9876a6.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 405, 964, 517], \"label\": \"insulator flashover\"}\n]\n```", "correct": false, "input_tokens": 1218, "output_tokens": 47, "elapsed_seconds": 66.96605000004638, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 67.8735}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 115, "image": "97_jpg.rf.6e96875525666efd5c6ee92a42ea704b.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [155, 444, 229, 488], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [393, 258, 427, 314], \"label\": \"resistor symbol\"},\n {\"box_2d\": [365, 417, 452, 466], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [399, 639, 437, 709], \"label\": \"resistor symbol\"},\n {\"box_2d\": [362, 771, 446, 809], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [502, 114, 616, 159], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [551, 519, 647, 560], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [557, 865, 690, 888], \"label\": \"resistor symbol\"},\n {\"box_2d\": [814, 281, 858, 349], \"label\": \"resistor symbol\"}\n]\n```", "correct": true, "input_tokens": 1251, "output_tokens": 341, "elapsed_seconds": 7.067210334003903, "metadata": {"match_method": "map", "num_predictions": 9, "num_ground_truth": 9, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 7.0753}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 116, "image": "IMG_20260128_081234_jpg.rf.66b0abebc9fc2c6dc309b213a32ddf78.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [729, 36, 839, 108], \"label\": \"white standard price tag\"},\n {\"box_2d\": [739, 256, 845, 332], \"label\": \"white standard price tag\"},\n {\"box_2d\": [738, 355, 845, 427], \"label\": \"white standard price tag\"},\n {\"box_2d\": [735, 441, 842, 511], \"label\": \"white standard price tag\"},\n {\"box_2d\": [735, 557, 844, 629], \"label\": \"white standard price tag\"},\n {\"box_2d\": [736, 699, 846, 769], \"label\": \"white standard price tag\"},\n {\"box_2d\": [738, 807, 847, 875], \"label\": \"white standard price tag\"},\n {\"box_2d\": [739, 882, 846, 947], \"label\": \"white standard price tag\"},\n {\"box_2d\": [740, 949, 849, 1000], \"label\": \"white standard price tag\"},\n {\"box_2d\": [46, 899, 173, 976], \"label\": \"white standard price tag\"},\n {\"box_2d\": [36, 588, 166, 667], \"label\": \"white standard price tag\"},\n {\"box_2d\": [27, 405, 358, 492], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [13, 298, 353, 396], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [7, 80, 361, 188], \"label\": \"yellow large price tag\"}\n]\n```", "correct": true, "input_tokens": 1222, "output_tokens": 523, "elapsed_seconds": 20.080720582976937, "metadata": {"match_method": "map", "num_predictions": 14, "num_ground_truth": 14, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 20.4808}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 117, "image": "1668147222__jpg.rf.44d299ff8b2787b4176e92260de001ce.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [598, 40, 643, 68], \"label\": \"five die\"},\n {\"box_2d\": [841, 120, 899, 154], \"label\": \"five die\"},\n {\"box_2d\": [504, 108, 560, 142], \"label\": \"six die\"},\n {\"box_2d\": [356, 124, 402, 154], \"label\": \"six die\"},\n {\"box_2d\": [280, 206, 328, 236], \"label\": \"five die\"},\n {\"box_2d\": [423, 220, 468, 249], \"label\": \"five die\"},\n {\"box_2d\": [568, 145, 624, 179], \"label\": \"three die\"},\n {\"box_2d\": [584, 284, 634, 312], \"label\": \"six die\"},\n {\"box_2d\": [425, 304, 473, 331], \"label\": \"two die\"},\n {\"box_2d\": [373, 292, 428, 325], \"label\": \"one die\"},\n {\"box_2d\": [129, 318, 187, 349], \"label\": \"four die\"},\n {\"box_2d\": [174, 381, 233, 413], \"label\": \"two die\"},\n {\"box_2d\": [134, 398, 193, 430], \"label\": \"one die\"},\n {\"box_2d\": [525, 391, 581, 422], \"label\": \"four die\"},\n {\"box_2d\": [643, 373, 699, 404], \"label\": \"six die\"},\n {\"box_2d\": [757, 448, 803, 475], \"label\": \"five die\"},\n {\"box_2d\": [758, 509, 812, 538], \"label\": \"four die\"},\n {\"box_2d\": [771, 563, 828, 595], \"label\": \"four die\"},\n {\"box_2d\": [624, 501, 672, 528], \"label\": \"two die\"},\n {\"box_2d\": [629, 540, 686, 573], \"label\": \"two die\"},\n {\"box_2d\": [589, 583, 637, 609], \"label\": \"five die\"},\n {\"box_2d\": [401, 473, 456, 504], \"label\": \"one die\"},\n {\"box_2d\": [301, 490, 353, 518], \"label\": \"three die\"},\n {\"box_2d\": [376, 530, 432, 562], \"label\": \"six die\"},\n {\"box_2d\": [211, 496, 271, 529], \"label\": \"one die\"},\n {\"box_2d\": [229, 529, 281, 556], \"label\": \"two die\"},\n {\"box_2d\": [181, 538, 239, 571], \"label\": \"five die\"},\n {\"box_2d\": [124, 553, 181, 583], \"label\": \"two die\"},\n {\"box_2d\": [170, 569, 226, 601], \"label\": \"two die\"},\n {\"box_2d\": [20, 613, 82, 645], \"label\": \"five die\"},\n {\"box_2d\": [136, 729, 193, 760], \"label\": \"one die\"},\n {\"box_2d\": [158, 792, 217, 826], \"label\": \"three die\"},\n {\"box_2d\": [284, 612, 343, 645], \"label\": \"two die\"},\n {\"box_2d\": [333, 633, 384, 662], \"label\": \"two die\"},\n {\"box_2d\": [395, 638, 446, 667], \"label\": \"five die\"},\n {\"box_2d\": [460, 586, 518, 619], \"label\": \"six die\"},\n {\"box_2d\": [481, 626, 539, 659], \"label\": \"one die\"},\n {\"box_2d\": [536, 628, 589, 659], \"label\": \"four die\"},\n {\"box_2d\": [568, 650, 624, 683], \"label\": \"six die\"},\n {\"box_2d\": [641, 665, 696, 697], \"label\": \"three die\"},\n {\"box_2d\": [353, 695, 401, 723], \"label\": \"four die\"},\n {\"box_2d\": [399, 730, 459, 765], \"label\": \"four die\"},\n {\"box_2d\": [463, 742, 520, 776], \"label\": \"five die\"},\n {\"box_2d\": [513, 757, 565, 788], \"label\": \"two die\"},\n {\"box_2d\": [585, 770, 641, 802], \"label\": \"three die\"},\n {\"box_2d\": [450, 857, 496, 887], \"label\": \"four die\"},\n {\"box_2d\": [699, 912, 747, 942], \"label\": \"five die\"},\n {\"box_2d\": [82, 935, 134, 965], \"label\": \"two die\"},\n {\"box_2d\": [125, 919, 184, 951], \"label\": \"one die\"},\n {\"box_2d\": [127, 949, 177, 978], \"label\": \"three die\"}\n]\n```", "correct": true, "input_tokens": 1252, "output_tokens": 1757, "elapsed_seconds": 27.065714417025447, "metadata": {"match_method": "map", "num_predictions": 50, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9752475023269653, "attempts": 1, "retries": 0, "total_seconds": 27.1248}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 118, "image": "IMG_0603_jpeg.rf.ecb146a41f95c297fa9a3a9efb0e3ea5.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [461, 213, 616, 311], \"label\": \"peach jelly bean\"},\n {\"box_2d\": [339, 396, 456, 466], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [468, 521, 588, 639], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [345, 689, 447, 798], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [97, 772, 159, 822], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [103, 821, 161, 871], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [121, 868, 164, 910], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [153, 856, 215, 903], \"label\": \"caramel corn jelly bean\"}\n]\n```", "correct": true, "input_tokens": 1230, "output_tokens": 315, "elapsed_seconds": 7.73719675000757, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8341583609580994, "attempts": 1, "retries": 0, "total_seconds": 7.7904}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 119, "image": "lot229_JPEG_jpg.rf.ffdf35568953f3fde9f8f46749018268.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [771, 355, 790, 395], \"label\": \"chicory seed\"},\n {\"box_2d\": [709, 278, 747, 309], \"label\": \"chicory seed\"},\n {\"box_2d\": [686, 329, 720, 352], \"label\": \"chicory seed\"},\n {\"box_2d\": [678, 345, 706, 386], \"label\": \"chicory seed\"},\n {\"box_2d\": [633, 275, 676, 294], \"label\": \"chicory seed\"},\n {\"box_2d\": [639, 195, 674, 232], \"label\": \"chicory seed\"},\n {\"box_2d\": [598, 196, 634, 232], \"label\": \"chicory seed\"},\n {\"box_2d\": [593, 173, 629, 204], \"label\": \"chicory seed\"},\n {\"box_2d\": [553, 182, 588, 219], \"label\": \"chicory seed\"},\n {\"box_2d\": [566, 265, 606, 291], \"label\": \"chicory seed\"},\n {\"box_2d\": [525, 221, 563, 252], \"label\": \"chicory seed\"},\n {\"box_2d\": [485, 190, 523, 214], \"label\": \"chicory seed\"},\n {\"box_2d\": [461, 192, 479, 231], \"label\": \"chicory seed\"},\n {\"box_2d\": [406, 178, 447, 200], \"label\": \"chicory seed\"},\n {\"box_2d\": [384, 146, 415, 178], \"label\": \"chicory seed\"},\n {\"box_2d\": [377, 126, 400, 168], \"label\": \"chicory seed\"},\n {\"box_2d\": [363, 189, 404, 211], \"label\": \"chicory seed\"},\n {\"box_2d\": [425, 195, 459, 226], \"label\": \"chicory seed\"},\n {\"box_2d\": [393, 202, 424, 244], \"label\": \"chicory seed\"},\n {\"box_2d\": [398, 231, 434, 258], \"label\": \"chicory seed\"},\n {\"box_2d\": [424, 233, 455, 270], \"label\": \"chicory seed\"},\n {\"box_2d\": [401, 274, 442, 305], \"label\": \"chicory seed\"},\n {\"box_2d\": [403, 304, 443, 325], \"label\": \"chicory seed\"},\n {\"box_2d\": [422, 326, 461, 350], \"label\": \"chicory seed\"},\n {\"box_2d\": [462, 241, 496, 281], \"label\": \"chicory seed\"},\n {\"box_2d\": [478, 233, 509, 272], \"label\": \"chicory seed\"},\n {\"box_2d\": [508, 267, 532, 307], \"label\": \"chicory seed\"},\n {\"box_2d\": [520, 247, 555, 285], \"label\": \"chicory seed\"},\n {\"box_2d\": [482, 315, 510, 360], \"label\": \"chicory seed\"},\n {\"box_2d\": [508, 309, 534, 348], \"label\": \"chicory seed\"},\n {\"box_2d\": [525, 312, 558, 350], \"label\": \"chicory seed\"},\n {\"box_2d\": [506, 344, 543, 373], \"label\": \"chicory seed\"},\n {\"box_2d\": [579, 306, 603, 349], \"label\": \"chicory seed\"},\n {\"box_2d\": [579, 347, 605, 390], \"label\": \"chicory seed\"},\n {\"box_2d\": [602, 333, 631, 369], \"label\": \"chicory seed\"},\n {\"box_2d\": [647, 369, 677, 409], \"label\": \"chicory seed\"},\n {\"box_2d\": [674, 389, 710, 412], \"label\": \"chicory seed\"},\n {\"box_2d\": [650, 407, 673, 448], \"label\": \"chicory seed\"},\n {\"box_2d\": [629, 415, 660, 456], \"label\": \"chicory seed\"},\n {\"box_2d\": [671, 412, 709, 443], \"label\": \"chicory seed\"},\n {\"box_2d\": [707, 406, 745, 440], \"label\": \"chicory seed\"},\n {\"box_2d\": [749, 411, 770, 456], \"label\": \"chicory seed\"},\n {\"box_2d\": [769, 396, 800, 433], \"label\": \"chicory seed\"},\n {\"box_2d\": [765, 454, 804, 475], \"label\": \"chicory seed\"},\n {\"box_2d\": [725, 443, 753, 483], \"label\": \"chicory seed\"},\n {\"box_2d\": [686, 463, 730, 486], \"label\": \"chicory seed\"},\n {\"box_2d\": [656, 451, 691, 488], \"label\": \"chicory seed\"},\n {\"box_2d\": [661, 486, 703, 509], \"label\": \"chicory seed\"},\n {\"box_2d\": [625, 458, 660, 490], \"label\": \"chicory seed\"},\n {\"box_2d\": [606, 490, 649, 513], \"label\": \"chicory seed\"},\n {\"box_2d\": [579, 474, 622, 496], \"label\": \"chicory seed\"},\n {\"box_2d\": [585, 405, 625, 437], \"label\": \"chicory seed\"},\n {\"box_2d\": [566, 391, 597, 432], \"label\": \"chicory seed\"},\n {\"box_2d\": [553, 380, 584, 422], \"label\": \"chicory seed\"},\n {\"box_2d\": [572, 437, 593, 479], \"label\": \"chicory seed\"},\n {\"box_2d\": [548, 424, 572, 468], \"label\": \"chicory seed\"},\n {\"box_2d\": [524, 418, 556, 459], \"label\": \"chicory seed\"},\n {\"box_2d\": [513, 404, 540, 443], \"label\": \"chicory seed\"},\n {\"box_2d\": [519, 371, 548, 406], \"label\": \"chicory seed\"},\n {\"box_2d\": [485, 387, 524, 410], \"label\": \"chicory seed\"},\n {\"box_2d\": [461, 342, 483, 386], \"label\": \"chicory seed\"},\n {\"box_2d\": [442, 355, 465, 397], \"label\": \"chicory seed\"},\n {\"box_2d\": [399, 342, 436, 373], \"label\": \"chicory seed\"},\n {\"box_2d\": [402, 377, 443, 404], \"label\": \"chicory seed\"},\n {\"box_2d\": [434, 388, 467, 428], \"label\": \"chicory seed\"},\n {\"box_2d\": [420, 399, 453, 432], \"label\": \"chicory seed\"},\n {\"box_2d\": [405, 408, 432, 445], \"label\": \"chicory seed\"},\n {\"box_2d\": [464, 398, 505, 421], \"label\": \"chicory seed\"},\n {\"box_2d\": [474, 419, 513, 449], \"label\": \"chicory seed\"},\n {\"box_2d\": [468, 450, 510, 485], \"label\": \"chicory seed\"},\n {\"box_2d\": [482, 479, 524, 501], \"label\": \"chicory seed\"},\n {\"box_2d\": [473, 499, 517, 524], \"label\": \"chicory seed\"},\n {\"box_2d\": [494, 508, 535, 537], \"label\": \"chicory seed\"},\n {\"box_2d\": [528, 484, 571, 510], \"label\": \"chicory seed\"},\n {\"box_2d\": [557, 497, 599, 520], \"label\": \"chicory seed\"},\n {\"box_2d\": [540, 511, 577, 543], \"label\": \"chicory seed\"},\n {\"box_2d\": [573, 520, 596, 556], \"label\": \"chicory seed\"},\n {\"box_2d\": [592, 523, 619, 565], \"label\": \"chicory seed\"},\n {\"box_2d\": [618, 519, 642, 563], \"label\": \"chicory seed\"},\n {\"box_2d\": [614, 562, 654, 583], \"label\": \"chicory seed\"},\n {\"box_2d\": [652, 546, 673, 589], \"label\": \"chicory seed\"},\n {\"box_2d\": [678, 531, 714, 570], \"label\": \"chicory seed\"},\n {\"box_2d\": [723, 499, 764, 522], \"label\": \"chicory seed\"},\n {\"box_2d\": [731, 519, 755, 561], \"label\": \"chicory seed\"},\n {\"box_2d\": [753, 511, 790, 546], \"label\": \"chicory seed\"},\n {\"box_2d\": [741, 552, 779, 584], \"label\": \"chicory seed\"},\n {\"box_2d\": [682, 554, 719, 593], \"label\": \"chicory seed\"},\n {\"box_2d\": [699, 565, 738, 601], \"label\": \"chicory seed\"},\n {\"box_2d\": [708, 581, 745, 620], \"label\": \"chicory seed\"},\n {\"box_2d\": [761, 602, 787, 643], \"label\": \"chicory seed\"},\n {\"box_2d\": [741, 601, 768, 648], \"label\": \"chicory seed\"},\n {\"box_2d\": [713, 641, 756, 663], \"label\": \"chicory seed\"},\n {\"box_2d\": [691, 639, 714, 680], \"label\": \"chicory seed\"},\n {\"box_2d\": [702, 661, 742, 694], \"label\": \"chicory seed\"},\n {\"box_2d\": [685, 678, 717, 718], \"label\": \"chicory seed\"},\n {\"box_2d\": [664, 718, 696, 758], \"label\": \"chicory seed\"},\n {\"box_2d\": [638, 709, 662, 755], \"label\": \"chicory seed\"},\n {\"box_2d\": [617, 736, 642, 774], \"label\": \"chicory seed\"},\n {\"box_2d\": [633, 673, 656, 715], \"label\": \"chicory seed\"},\n {\"box_2d\": [612, 680, 634, 728], \"label\": \"chicory seed\"},\n {\"box_2d\": [616, 634, 640, 678], \"label\": \"chicory seed\"},\n {\"box_2d\": [607, 605, 646, 640], \"label\": \"chicory seed\"},\n {\"box_2d\": [598, 579, 632, 621], \"label\": \"chicory seed\"},\n {\"box_2d\": [572, 566, 613, 598], \"label\": \"chicory seed\"},\n {\"box_2d\": [554, 550, 597, 575], \"label\": \"chicory seed\"},\n {\"box_2d\": [575, 600, 610, 638], \"label\": \"chicory seed\"},\n {\"box_2d\": [588, 633, 621, 670], \"label\": \"chicory seed\"},\n {\"box_2d\": [557, 609, 596, 644], \"label\": \"chicory seed\"},\n {\"box_2d\": [556, 635, 599, 668], \"label\": \"chicory seed\"},\n {\"box_2d\": [535, 606, 558, 644], \"label\": \"chicory seed\"},\n {\"box_2d\": [529, 588, 576, 612], \"label\": \"chicory seed\"},\n {\"box_2d\": [526, 569, 567, 591], \"label\": \"chicory seed\"},\n {\"box_2d\": [504, 533, 529, 578], \"label\": \"chicory seed\"},\n {\"box_2d\": [315, 204, 353, 235], \"label\": \"chicory seed\"},\n {\"box_2d\": [248, 198, 279, 240], \"label\": \"chicory seed\"},\n {\"box_2d\": [260, 221, 297, 250], \"label\": \"chicory seed\"},\n {\"box_2d\": [217, 231, 259, 251], \"label\": \"chicory seed\"},\n {\"box_2d\": [230, 247, 270, 265], \"label\": \"chicory seed\"},\n {\"box_2d\": [266, 242, 289, 285], \"label\": \"chicory seed\"},\n {\"box_2d\": [224, 265, 261, 303], \"label\": \"chicory seed\"},\n {\"box_2d\": [211, 254, 234, 296], \"label\": \"chicory seed\"},\n {\"box_2d\": [194, 239, 215, 283], \"label\": \"chicory seed\"},\n {\"box_2d\": [178, 263, 204, 301], \"label\": \"chicory seed\"},\n {\"box_2d\": [165, 299, 191, 342], \"label\": \"chicory seed\"},\n {\"box_2d\": [188, 314, 221, 353], \"label\": \"chicory seed\"},\n {\"box_2d\": [205, 315, 250, 346], \"label\": \"chicory seed\"},\n {\"box_2d\": [224, 302, 262, 336], \"label\": \"chicory seed\"},\n {\"box_2d\": [258, 305, 281, 351], \"label\": \"chicory seed\"},\n {\"box_2d\": [288, 256, 316, 296], \"label\": \"chicory seed\"},\n {\"box_2d\": [304, 235, 340, 271], \"label\": \"chicory seed\"},\n {\"box_2d\": [332, 246, 371, 288], \"label\": \"chicory seed\"},\n {\"box_2d\": [311, 269, 344, 312], \"label\": \"chicory seed\"},\n {\"box_2d\": [329, 266, 362, 312], \"label\": \"chicory seed\"},\n {\"box_2d\": [363, 279, 387, 320], \"label\": \"chicory seed\"},\n {\"box_2d\": [281, 285, 304, 329], \"label\": \"chicory seed\"},\n {\"box_2d\": [302, 297, 331, 340], \"label\": \"chicory seed\"},\n {\"box_2d\": [291, 323, 320, 366], \"label\": \"chicory seed\"},\n {\"box_2d\": [274, 329, 294, 373], \"label\": \"chicory seed\"},\n {\"box_2d\": [232, 339, 268, 378], \"label\": \"chicory seed\"},\n {\"box_2d\": [238, 354, 276, 389], \"label\": \"chicory seed\"},\n {\"box_2d\": [200, 354, 234, 396], \"label\": \"chicory seed\"},\n {\"box_2d\": [169, 347, 210, 372], \"label\": \"chicory seed\"},\n {\"box_2d\": [128, 355, 171, 379], \"label\": \"chicory seed\"},\n {\"box_2d\": [139, 374, 181, 399], \"label\": \"chicory seed\"},\n {\"box_2d\": [117, 411, 161, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [186, 390, 222, 425], \"label\": \"chicory seed\"},\n {\"box_2d\": [191, 424, 219, 469], \"label\": \"chicory seed\"},\n {\"box_2d\": [224, 381, 243, 421], \"label\": \"chicory seed\"},\n {\"box_2d\": [239, 389, 277, 425], \"label\": \"chicory seed\"},\n {\"box_2d\": [210, 446, 232, 488], \"label\": \"chicory seed\"},\n {\"box_2d\": [232, 469, 278, 498], \"label\": \"chicory seed\"},\n {\"box_2d\": [261, 409, 281, 454], \"label\": \"chicory seed\"},\n {\"box_2d\": [280, 399, 300, 441], \"label\": \"chicory seed\"},\n {\"box_2d\": [269, 372, 311, 403], \"label\": \"chicory seed\"},\n {\"box_2d\": [288, 365, 327, 401], \"label\": \"chicory seed\"},\n {\"box_2d\": [318, 347, 342, 388], \"label\": \"chicory seed\"},\n {\"box_2d\": [332, 321, 357, 365], \"label\": \"chicory seed\"},\n {\"box_2d\": [346, 313, 373, 356], \"label\": \"chicory seed\"},\n {\"box_2d\": [342, 355, 382, 388], \"label\": \"chicory seed\"},\n {\"box_2d\": [366, 374, 406, 397], \"label\": \"chicory seed\"},\n {\"box_2d\": [362, 396, 389, 436], \"label\": \"chicory seed\"},\n {\"box_2d\": [375, 406, 402, 447], \"label\": \"chicory seed\"},\n {\"box_2d\": [342, 388, 367, 430], \"label\": \"chicory seed\"},\n {\"box_2d\": [322, 390, 345, 432], \"label\": \"chicory seed\"},\n {\"box_2d\": [298, 406, 336, 440], \"label\": \"chicory seed\"},\n {\"box_2d\": [295, 427, 333, 456], \"label\": \"chicory seed\"},\n {\"box_2d\": [285, 443, 325, 474], \"label\": \"chicory seed\"},\n {\"box_2d\": [288, 458, 318, 500], \"label\": \"chicory seed\"},\n {\"box_2d\": [316, 456, 340, 503], \"label\": \"chicory seed\"},\n {\"box_2d\": [331, 437, 361, 481], \"label\": \"chicory seed\"},\n {\"box_2d\": [341, 430, 380, 463], \"label\": \"chicory seed\"},\n {\"box_2d\": [356, 452, 391, 490], \"label\": \"chicory seed\"},\n {\"box_2d\": [384, 439, 417, 478], \"label\": \"chicory seed\"},\n {\"box_2d\": [419, 430, 460, 463], \"label\": \"chicory seed\"},\n {\"box_2d\": [427, 445, 468, 475], \"label\": \"chicory seed\"},\n {\"box_2d\": [453, 466, 478, 511], \"label\": \"chicory seed\"},\n {\"box_2d\": [425, 476, 453, 521], \"label\": \"chicory seed\"},\n {\"box_2d\": [399, 457, 431, 501], \"label\": \"chicory seed\"},\n {\"box_2d\": [387, 477, 423, 514], \"label\": \"chicory seed\"},\n {\"box_2d\": [377, 493, 403, 535], \"label\": \"chicory seed\"},\n {\"box_2d\": [324, 494, 366, 520], \"label\": \"chicory seed\"},\n {\"box_2d\": [287, 499, 325, 530], \"label\": \"chicory seed\"},\n {\"box_2d\": [114, 451, 136, 494], \"label\": \"chicory seed\"},\n {\"box_2d\": [132, 430, 168, 469], \"label\": \"chicory seed\"},\n {\"box_2d\": [121, 466, 152, 507], \"label\": \"chicory seed\"},\n {\"box_2d\": [151, 449, 184, 489], \"label\": \"chicory seed\"},\n {\"box_2d\": [126, 488, 164, 522], \"label\": \"chicory seed\"},\n {\"box_2d\": [162, 490, 204, 516], \"label\": \"chicory seed\"},\n {\"box_2d\": [123, 539, 145, 586], \"label\": \"chicory seed\"},\n {\"box_2d\": [154, 510, 178, 553], \"label\": \"chicory seed\"},\n {\"box_2d\": [168, 512, 195, 554], \"label\": \"chicory seed\"},\n {\"box_2d\": [190, 506, 220, 548], \"label\": \"chicory seed\"},\n {\"box_2d\": [193, 527, 230, 564], \"label\": \"chicory seed\"},\n {\"box_2d\": [153, 549, 183, 591], \"label\": \"chicory seed\"},\n {\"box_2d\": [169, 555, 197, 599], \"label\": \"chicory seed\"},\n {\"box_2d\": [217, 487, 244, 533], \"label\": \"chicory seed\"},\n {\"box_2d\": [230, 494, 260, 538], \"label\": \"chicory seed\"},\n {\"box_2d\": [256, 498, 289, 536], \"label\": \"chicory seed\"},\n {\"box_2d\": [232, 516, 264, 557], \"label\": \"chicory seed\"},\n {\"box_2d\": [206, 544, 240, 583], \"label\": \"chicory seed\"},\n {\"box_2d\": [214, 554, 249, 597], \"label\": \"chicory seed\"},\n {\"box_2d\": [228, 562, 261, 606], \"label\": \"chicory seed\"},\n {\"box_2d\": [254, 529, 280, 569], \"label\": \"chicory seed\"},\n {\"box_2d\": [269, 536, 293, 573], \"label\": \"chicory seed\"},\n {\"box_2d\": [291, 531, 313, 577], \"label\": \"chicory seed\"},\n {\"box_2d\": [306, 516, 333, 560], \"label\": \"chicory seed\"},\n {\"box_2d\": [336, 523, 381, 555], \"label\": \"chicory seed\"},\n {\"box_2d\": [333, 543, 376, 578], \"label\": \"chicory seed\"},\n {\"box_2d\": [308, 556, 349, 579], \"label\": \"chicory seed\"},\n {\"box_2d\": [313, 569, 357, 595], \"label\": \"chicory seed\"},\n {\"box_2d\": [331, 577, 375, 603], \"label\": \"chicory seed\"},\n {\"box_2d\": [276, 570, 317, 597], \"label\": \"chicory seed\"},\n {\"box_2d\": [251, 566, 281, 610], \"label\": \"chicory seed\"},\n {\"box_2d\": [269, 586, 307, 623], \"label\": \"chicory seed\"},\n {\"box_2d\": [257, 603, 296, 639], \"label\": \"chicory seed\"},\n {\"box_2d\": [159, 597, 202, 620], \"label\": \"chicory seed\"},\n {\"box_2d\": [166, 616, 210, 638], \"label\": \"chicory seed\"},\n {\"box_2d\": [200, 598, 241, 621], \"label\": \"chicory seed\"},\n {\"box_2d\": [211, 609, 252, 643], \"label\": \"chicory seed\"},\n {\"box_2d\": [227, 616, 266, 652], \"label\": \"chicory seed\"},\n {\"box_2d\": [220, 646, 255, 673], \"label\": \"chicory seed\"},\n {\"box_2d\": [251, 636, 294, 666], \"label\": \"chicory seed\"},\n {\"box_2d\": [166, 658, 198, 697], \"label\": \"chicory seed\"},\n {\"box_2d\": [196, 678, 240, 703], \"label\": \"chicory seed\"},\n {\"box_2d\": [206, 697, 247, 720], \"label\": \"chicory seed\"},\n {\"box_2d\": [239, 667, 274, 704], \"label\": \"chicory seed\"},\n {\"box_2d\": [233, 717, 279, 744], \"label\": \"chicory seed\"},\n {\"box_2d\": [278, 718, 321, 741], \"label\": \"chicory seed\"},\n {\"box_2d\": [272, 747, 315, 772], \"label\": \"chicory seed\"},\n {\"box_2d\": [277, 761, 314, 793], \"label\": \"chicory seed\"},\n {\"box_2d\": [306, 773, 350, 801], \"label\": \"chicory seed\"},\n {\"box_2d\": [328, 786, 365, 824], \"label\": \"chicory seed\"},\n {\"box_2d\": [350, 788, 381, 832], \"label\": \"chicory seed\"},\n {\"box_2d\": [357, 744, 380, 787], \"label\": \"chicory seed\"},\n {\"box_2d\": [323, 681, 363, 719], \"label\": \"chicory seed\"},\n {\"box_2d\": [304, 595, 347, 620], \"label\": \"chicory seed\"},\n {\"box_2d\": [293, 616, 331, 656], \"label\": \"chicory seed\"},\n {\"box_2d\": [303, 637, 333, 681], \"label\": \"chicory seed\"},\n {\"box_2d\": [325, 654, 369, 684], \"label\": \"chicory seed\"},\n {\"box_2d\": [327, 620, 367, 651], \"label\": \"chicory seed\"},\n {\"box_2d\": [329, 600, 372, 631], \"label\": \"chicory seed\"},\n {\"box_2d\": [348, 616, 381, 659], \"label\": \"chicory seed\"},\n {\"box_2d\": [367, 632, 395, 678], \"label\": \"chicory seed\"},\n {\"box_2d\": [359, 678, 389, 716], \"label\": \"chicory seed\"},\n {\"box_2d\": [360, 703, 397, 740], \"label\": \"chicory seed\"},\n {\"box_2d\": [380, 684, 412, 726], \"label\": \"chicory seed\"},\n {\"box_2d\": [386, 658, 417, 697], \"label\": \"chicory seed\"},\n {\"box_2d\": [411, 687, 454, 715], \"label\": \"chicory seed\"},\n {\"box_2d\": [411, 711, 453, 736], \"label\": \"chicory seed\"},\n {\"box_2d\": [395, 733, 436, 769], \"label\": \"chicory seed\"},\n {\"box_2d\": [397, 771, 437, 809], \"label\": \"chicory seed\"},\n {\"box_2d\": [423, 752, 460, 780], \"label\": \"chicory seed\"},\n {\"box_2d\": [427, 777, 466, 815], \"label\": \"chicory seed\"},\n {\"box_2d\": [451, 725, 478, 767], \"label\": \"chicory seed\"},\n {\"box_2d\": [465, 750, 495, 793], \"label\": \"chicory seed\"},\n {\"box_2d\": [476, 795, 507, 834], \"label\": \"chicory seed\"},\n {\"box_2d\": [491, 802, 529, 843], \"label\": \"chicory seed\"},\n {\"box_2d\": [500, 780, 537, 805], \"label\": \"chicory seed\"},\n {\"box_2d\": [540, 769, 586, 793], \"label\": \"chicory seed\"},\n {\"box_2d\": [575, 748, 618, 771], \"label\": \"chicory seed\"},\n {\"box_2d\": [539, 738, 576, 770], \"label\": \"chicory seed\"},\n {\"box_2d\": [560, 728, 600, 752], \"label\": \"chicory seed\"},\n {\"box_2d\": [513, 737, 548, 777], \"label\": \"chicory seed\"},\n {\"box_2d\": [480, 723, 513, 763], \"label\": \"chicory seed\"},\n {\"box_2d\": [453, 687, 495, 719], \"label\": \"chicory seed\"},\n {\"box_2d\": [485, 680, 525, 716], \"label\": \"chicory seed\"},\n {\"box_2d\": [504, 703, 536, 744], \"label\": \"chicory seed\"},\n {\"box_2d\": [523, 688, 548, 735], \"label\": \"chicory seed\"},\n {\"box_2d\": [544, 693, 567, 737], \"label\": \"chicory seed\"},\n {\"box_2d\": [553, 677, 593, 709], \"label\": \"chicory seed\"},\n {\"box_2d\": [567, 694, 610, 729], \"label\": \"chicory seed\"},\n {\"box_2d\": [520, 668, 560, 692], \"label\": \"chicory seed\"},\n {\"box_2d\": [493, 657, 533, 690], \"label\": \"chicory seed\"},\n {\"box_2d\": [509, 635, 543, 670], \"label\": \"chicory seed\"},\n {\"box_2d\": [478, 653, 517, 676], \"label\": \"chicory seed\"},\n {\"box_2d\": [459, 642, 483, 683], \"label\": \"chicory seed\"},\n {\"box_2d\": [439, 648, 463, 694], \"label\": \"chicory seed\"},\n {\"box_2d\": [415, 644, 444, 688], \"label\": \"chicory seed\"},\n {\"box_2d\": [401, 632, 437, 672], \"label\": \"chicory seed\"},\n {\"box_2d\": [391, 619, 432, 654], \"label\": \"chicory seed\"},\n {\"box_2d\": [377, 607, 421, 636], \"label\": \"chicory seed\"},\n {\"box_2d\": [368, 592, 415, 616], \"label\": \"chicory seed\"},\n {\"box_2d\": [369, 550, 400, 594], \"label\": \"chicory seed\"},\n {\"box_2d\": [384, 546, 424, 584], \"label\": \"chicory seed\"},\n {\"box_2d\": [397, 575, 439, 606], \"label\": \"chicory seed\"},\n {\"box_2d\": [421, 605, 451, 650], \"label\": \"chicory seed\"},\n {\"box_2d\": [440, 603, 472, 647], \"label\": \"chicory seed\"},\n {\"box_2d\": [468, 618, 502, 657], \"label\": \"chicory seed\"},\n {\"box_2d\": [480, 610, 524, 639], \"label\": \"chicory seed\"},\n {\"box_2d\": [514, 593, 535, 634], \"label\": \"chicory seed\"},\n {\"box_2d\": [478, 576, 517, 616], \"label\": \"chicory seed\"},\n {\"box_2d\": [456, 574, 490, 618], \"label\": \"chicory seed\"},\n {\"box_2d\": [443, 583, 477, 626], \"label\": \"chicory seed\"},\n {\"box_2d\": [419, 553, 450, 596], \"label\": \"chicory seed\"},\n {\"box_2d\": [384, 523, 423, 563], \"label\": \"chicory seed\"},\n {\"box_2d\": [402, 513, 439, 555], \"label\": \"chicory seed\"},\n {\"box_2d\": [414, 500, 449, 545], \"label\": \"chicory seed\"},\n {\"box_2d\": [443, 514, 477, 552], \"label\": \"chicory seed\"},\n {\"box_2d\": [437, 541, 470, 582], \"label\": \"chicory seed\"},\n {\"box_2d\": [455, 543, 499, 580], \"label\": \"chicory seed\"},\n {\"box_2d\": [474, 522, 507, 563], \"label\": \"chicory seed\"},\n {\"box_2d\": [495, 556, 524, 599], \"label\": \"chicory seed\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 10884, "elapsed_seconds": 76.98561895801686, "metadata": {"match_method": "map", "num_predictions": 302, "num_ground_truth": 303, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3366336524486542, "attempts": 1, "retries": 0, "total_seconds": 77.1084}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 120, "image": "Screenshot-2024-05-16-144630_png.rf.ac24f71a7370686a36ea1f2bec910257.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [529, 460, 557, 488], \"label\": \"bullet hole\"},\n {\"box_2d\": [579, 360, 605, 386], \"label\": \"bullet hole\"},\n {\"box_2d\": [585, 611, 611, 632], \"label\": \"bullet hole\"},\n {\"box_2d\": [567, 269, 591, 294], \"label\": \"bullet hole\"},\n {\"box_2d\": [610, 246, 632, 272], \"label\": \"bullet hole\"},\n {\"box_2d\": [721, 355, 745, 382], \"label\": \"bullet hole\"},\n {\"box_2d\": [686, 449, 710, 474], \"label\": \"bullet hole\"},\n {\"box_2d\": [685, 608, 710, 632], \"label\": \"bullet hole\"},\n {\"box_2d\": [360, 608, 383, 630], \"label\": \"bullet hole\"},\n {\"box_2d\": [313, 559, 336, 582], \"label\": \"bullet hole\"},\n {\"box_2d\": [350, 275, 375, 298], \"label\": \"bullet hole\"},\n {\"box_2d\": [423, 220, 446, 242], \"label\": \"bullet hole\"},\n {\"box_2d\": [213, 509, 236, 530], \"label\": \"bullet hole\"},\n {\"box_2d\": [256, 611, 278, 632], \"label\": \"bullet hole\"},\n {\"box_2d\": [321, 669, 342, 692], \"label\": \"bullet hole\"},\n {\"box_2d\": [224, 670, 249, 694], \"label\": \"bullet hole\"},\n {\"box_2d\": [101, 565, 122, 584], \"label\": \"bullet hole\"},\n {\"box_2d\": [113, 341, 136, 362], \"label\": \"bullet hole\"},\n {\"box_2d\": [178, 340, 200, 362], \"label\": \"bullet hole\"},\n {\"box_2d\": [51, 341, 70, 365], \"label\": \"bullet hole\"},\n {\"box_2d\": [67, 808, 89, 830], \"label\": \"bullet hole\"},\n {\"box_2d\": [138, 795, 162, 818], \"label\": \"bullet hole\"},\n {\"box_2d\": [225, 848, 246, 869], \"label\": \"bullet hole\"},\n {\"box_2d\": [332, 835, 356, 858], \"label\": \"bullet hole\"},\n {\"box_2d\": [389, 828, 415, 850], \"label\": \"bullet hole\"},\n {\"box_2d\": [7, 118, 28, 139], \"label\": \"bullet hole\"},\n {\"box_2d\": [75, 125, 96, 146], \"label\": \"bullet hole\"},\n {\"box_2d\": [167, 138, 189, 159], \"label\": \"bullet hole\"},\n {\"box_2d\": [226, 145, 249, 166], \"label\": \"bullet hole\"},\n {\"box_2d\": [474, 158, 489, 171], \"label\": \"bullet hole\"},\n {\"box_2d\": [568, 92, 594, 115], \"label\": \"bullet hole\"},\n {\"box_2d\": [633, 35, 648, 55], \"label\": \"bullet hole\"},\n {\"box_2d\": [743, 174, 764, 192], \"label\": \"bullet hole\"},\n {\"box_2d\": [745, 259, 764, 284], \"label\": \"bullet hole\"},\n {\"box_2d\": [796, 236, 820, 256], \"label\": \"bullet hole\"},\n {\"box_2d\": [782, 342, 805, 362], \"label\": \"bullet hole\"},\n {\"box_2d\": [853, 321, 880, 341], \"label\": \"bullet hole\"},\n {\"box_2d\": [928, 169, 946, 188], \"label\": \"bullet hole\"},\n {\"box_2d\": [812, 519, 834, 539], \"label\": \"bullet hole\"},\n {\"box_2d\": [881, 455, 905, 480], \"label\": \"bullet hole\"},\n {\"box_2d\": [934, 539, 954, 560], \"label\": \"bullet hole\"},\n {\"box_2d\": [862, 608, 882, 632], \"label\": \"bullet hole\"},\n {\"box_2d\": [891, 781, 913, 802], \"label\": \"bullet hole\"},\n {\"box_2d\": [894, 888, 918, 908], \"label\": \"bullet hole\"}\n]\n```", "correct": false, "input_tokens": 1222, "output_tokens": 1540, "elapsed_seconds": 15.000533208018169, "metadata": {"match_method": "map", "num_predictions": 44, "num_ground_truth": 44, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.43373727798461914, "attempts": 1, "retries": 0, "total_seconds": 15.0321}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 121, "image": "GP010255_JPG_jpg.rf.a9c124de642391662cf0875377214d1e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [72, 527, 166, 783], \"label\": \"carrot\"},\n {\"box_2d\": [123, 511, 200, 770], \"label\": \"carrot\"},\n {\"box_2d\": [92, 344, 245, 558], \"label\": \"carrot\"},\n {\"box_2d\": [173, 377, 298, 622], \"label\": \"carrot\"},\n {\"box_2d\": [270, 422, 417, 616], \"label\": \"carrot\"},\n {\"box_2d\": [186, 594, 345, 777], \"label\": \"carrot\"},\n {\"box_2d\": [306, 644, 464, 791], \"label\": \"carrot\"},\n {\"box_2d\": [377, 516, 636, 573], \"label\": \"carrot\"},\n {\"box_2d\": [456, 625, 672, 688], \"label\": \"carrot\"},\n {\"box_2d\": [459, 683, 694, 761], \"label\": \"carrot\"},\n {\"box_2d\": [489, 555, 730, 631], \"label\": \"carrot\"},\n {\"box_2d\": [572, 491, 766, 588], \"label\": \"carrot\"},\n {\"box_2d\": [517, 466, 720, 520], \"label\": \"carrot\"},\n {\"box_2d\": [495, 369, 703, 461], \"label\": \"carrot\"},\n {\"box_2d\": [461, 378, 622, 473], \"label\": \"carrot\"},\n {\"box_2d\": [436, 330, 483, 519], \"label\": \"carrot\"},\n {\"box_2d\": [441, 277, 712, 342], \"label\": \"carrot\"},\n {\"box_2d\": [314, 305, 491, 367], \"label\": \"carrot\"},\n {\"box_2d\": [238, 342, 434, 444], \"label\": \"carrot\"},\n {\"box_2d\": [209, 314, 342, 394], \"label\": \"carrot\"},\n {\"box_2d\": [138, 281, 286, 419], \"label\": \"carrot\"},\n {\"box_2d\": [666, 631, 814, 794], \"label\": \"carrot\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 758, "elapsed_seconds": 8.590986917028204, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 8.6176}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 122, "image": "20210325_203749_jpg.rf.1705fa1e1420cef9584e0f51c930586c.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [200, 136, 405, 348], \"label\": \"50 euro cent coin\"},\n {\"box_2d\": [439, 228, 603, 394], \"label\": \"2 euro cent coin\"},\n {\"box_2d\": [134, 425, 327, 620], \"label\": \"1 euro coin\"},\n {\"box_2d\": [367, 481, 505, 620], \"label\": \"1 euro cent coin\"},\n {\"box_2d\": [611, 417, 805, 609], \"label\": \"20 euro cent coin\"},\n {\"box_2d\": [158, 683, 322, 852], \"label\": \"10 euro cent coin\"},\n {\"box_2d\": [384, 750, 562, 934], \"label\": \"5 euro cent coin\"},\n {\"box_2d\": [611, 634, 834, 858], \"label\": \"2 euro coin\"}\n]\n```", "correct": true, "input_tokens": 1272, "output_tokens": 309, "elapsed_seconds": 8.801370625034906, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 8.8225}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 123, "image": "53_jpeg_jpg.rf.827706d6e6ec3d14c5952c8d4c752e99.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [713, 66, 797, 193], \"label\": \"potato\"},\n {\"box_2d\": [715, 416, 859, 499], \"label\": \"potato\"},\n {\"box_2d\": [922, 675, 1000, 770], \"label\": \"potato\"},\n {\"box_2d\": [721, 625, 822, 717], \"label\": \"potato\"},\n {\"box_2d\": [520, 699, 623, 801], \"label\": \"potato\"},\n {\"box_2d\": [488, 574, 619, 688], \"label\": \"potato\"},\n {\"box_2d\": [514, 845, 621, 947], \"label\": \"potato\"},\n {\"box_2d\": [314, 848, 426, 951], \"label\": \"potato\"},\n {\"box_2d\": [719, 890, 801, 969], \"label\": \"potato\"},\n {\"box_2d\": [90, 378, 203, 490], \"label\": \"potato\"},\n {\"box_2d\": [918, 13, 1000, 108], \"label\": \"potato\"},\n {\"box_2d\": [924, 437, 1000, 526], \"label\": \"potato\"},\n {\"box_2d\": [129, 957, 250, 1000], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1240, "output_tokens": 455, "elapsed_seconds": 36.692337791086175, "metadata": {"match_method": "map", "num_predictions": 13, "num_ground_truth": 13, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 36.7351}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 124, "image": "car-part-detection_Car-damages-1749_png_jpg.rf.841bd72a48ea0726dc55d3cf93207af1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [562, 60, 725, 114], \"label\": \"back bumper\"},\n {\"box_2d\": [432, 74, 549, 130], \"label\": \"tail light\"},\n {\"box_2d\": [297, 81, 412, 152], \"label\": \"back windshield\"},\n {\"box_2d\": [283, 211, 444, 434], \"label\": \"back window\"},\n {\"box_2d\": [280, 198, 724, 466], \"label\": \"back door\"},\n {\"box_2d\": [281, 452, 724, 738], \"label\": \"front door\"},\n {\"box_2d\": [283, 452, 462, 682], \"label\": \"front window\"},\n {\"box_2d\": [407, 675, 471, 712], \"label\": \"mirror\"},\n {\"box_2d\": [395, 732, 466, 922], \"label\": \"hood\"},\n {\"box_2d\": [291, 594, 435, 767], \"label\": \"windshield\"},\n {\"box_2d\": [573, 898, 712, 987], \"label\": \"front bumper\"},\n {\"box_2d\": [357, 845, 396, 916], \"label\": \"headlight\"},\n {\"box_2d\": [354, 769, 391, 790], \"label\": \"headlight\"},\n {\"box_2d\": [324, 956, 350, 982], \"label\": \"mirror\"},\n {\"box_2d\": [307, 768, 326, 789], \"label\": \"mirror\"},\n {\"box_2d\": [345, 682, 376, 725], \"label\": \"headlight\"},\n {\"box_2d\": [332, 772, 389, 919], \"label\": \"hood\"},\n {\"box_2d\": [274, 818, 340, 956], \"label\": \"windshield\"},\n {\"box_2d\": [271, 667, 324, 772], \"label\": \"windshield\"},\n {\"box_2d\": [317, 639, 360, 745], \"label\": \"hood\"},\n {\"box_2d\": [274, 944, 444, 998], \"label\": \"front door\"},\n {\"box_2d\": [278, 950, 350, 990], \"label\": \"front window\"},\n {\"box_2d\": [271, 756, 399, 809], \"label\": \"front door\"},\n {\"box_2d\": [274, 804, 317, 832], \"label\": \"back window\"},\n {\"box_2d\": [275, 760, 326, 805], \"label\": \"front window\"},\n {\"box_2d\": [389, 765, 430, 882], \"label\": \"front bumper\"},\n {\"box_2d\": [300, 1, 399, 65], \"label\": \"front door\"},\n {\"box_2d\": [303, 1, 346, 56], \"label\": \"front window\"},\n {\"box_2d\": [300, 29, 336, 92], \"label\": \"windshield\"}\n]\n```", "correct": false, "input_tokens": 1246, "output_tokens": 1010, "elapsed_seconds": 11.487487457925454, "metadata": {"match_method": "map", "num_predictions": 29, "num_ground_truth": 13, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7087457776069641, "attempts": 1, "retries": 0, "total_seconds": 11.5187}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 125, "image": "1704196661687_jpg.rf.15374227e4fbd79145880dc340991d51.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [76, 451, 173, 520], \"label\": \"bean grain\"},\n {\"box_2d\": [110, 584, 198, 675], \"label\": \"bean grain\"},\n {\"box_2d\": [189, 304, 298, 378], \"label\": \"bean grain\"},\n {\"box_2d\": [200, 142, 285, 212], \"label\": \"bean grain\"},\n {\"box_2d\": [217, 534, 298, 640], \"label\": \"bean grain\"},\n {\"box_2d\": [190, 815, 270, 910], \"label\": \"bean grain\"},\n {\"box_2d\": [375, 134, 446, 237], \"label\": \"bean grain\"},\n {\"box_2d\": [454, 382, 539, 478], \"label\": \"bean grain\"},\n {\"box_2d\": [387, 715, 493, 795], \"label\": \"bean grain\"},\n {\"box_2d\": [548, 562, 625, 664], \"label\": \"bean grain\"},\n {\"box_2d\": [610, 157, 692, 267], \"label\": \"bean grain\"},\n {\"box_2d\": [646, 403, 715, 500], \"label\": \"bean grain\"},\n {\"box_2d\": [803, 343, 890, 437], \"label\": \"bean grain\"},\n {\"box_2d\": [754, 557, 842, 648], \"label\": \"bean grain\"},\n {\"box_2d\": [637, 764, 703, 862], \"label\": \"bean grain\"},\n {\"box_2d\": [537, 859, 610, 962], \"label\": \"bean grain\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 571, "elapsed_seconds": 7.798330249963328, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 7.8173}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 126, "image": "fall-detection_13_mp4-274_jpg.rf.81d37af519564fd17e00cbdde20bedcf.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [389, 470, 434, 537], \"label\": \"fallen person\"},\n {\"box_2d\": [420, 588, 472, 725], \"label\": \"fallen person\"},\n {\"box_2d\": [386, 523, 447, 631], \"label\": \"fallen person\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 117, "elapsed_seconds": 8.988820499973372, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 9.0053}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 127, "image": "tile_672_jpg.rf.563bc07bfb63272303ba7c8beec3dfd0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [24, 444, 79, 471], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [222, 715, 259, 735], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [436, 684, 470, 702], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [471, 829, 520, 862], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [689, 822, 732, 855], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [876, 850, 916, 871], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [832, 82, 892, 114], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [332, 829, 355, 849], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [602, 691, 626, 705], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [515, 366, 539, 386], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [610, 426, 626, 448], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [375, 336, 392, 365], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [854, 132, 874, 148], \"label\": \"ship in SAR satellite image\"}\n]\n```", "correct": true, "input_tokens": 1229, "output_tokens": 503, "elapsed_seconds": 8.464393291971646, "metadata": {"match_method": "map", "num_predictions": 13, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 8.5083}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 128, "image": "Screenshot-2024-05-16-150353_png.rf.28f931ef1556f4fbfc5b8964a85b5e08.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [77, 984, 108, 1000], \"label\": \"bullet hole\"},\n {\"box_2d\": [397, 986, 429, 1000], \"label\": \"bullet hole\"},\n {\"box_2d\": [123, 895, 155, 927], \"label\": \"bullet hole\"},\n {\"box_2d\": [110, 764, 144, 795], \"label\": \"bullet hole\"},\n {\"box_2d\": [336, 764, 370, 795], \"label\": \"bullet hole\"},\n {\"box_2d\": [82, 599, 114, 629], \"label\": \"bullet hole\"},\n {\"box_2d\": [431, 616, 463, 653], \"label\": \"bullet hole\"},\n {\"box_2d\": [548, 798, 578, 829], \"label\": \"bullet hole\"},\n {\"box_2d\": [585, 674, 621, 703], \"label\": \"bullet hole\"},\n {\"box_2d\": [735, 646, 767, 677], \"label\": \"bullet hole\"},\n {\"box_2d\": [794, 759, 826, 790], \"label\": \"bullet hole\"},\n {\"box_2d\": [712, 315, 738, 345], \"label\": \"bullet hole\"},\n {\"box_2d\": [810, 319, 840, 351], \"label\": \"bullet hole\"},\n {\"box_2d\": [708, 150, 744, 183], \"label\": \"bullet hole\"},\n {\"box_2d\": [811, 109, 843, 138], \"label\": \"bullet hole\"},\n {\"box_2d\": [826, 183, 858, 212], \"label\": \"bullet hole\"},\n {\"box_2d\": [918, 174, 947, 206], \"label\": \"bullet hole\"},\n {\"box_2d\": [509, 57, 541, 91], \"label\": \"bullet hole\"},\n {\"box_2d\": [459, 302, 491, 333], \"label\": \"bullet hole\"},\n {\"box_2d\": [431, 80, 463, 114], \"label\": \"bullet hole\"},\n {\"box_2d\": [375, 1, 409, 36], \"label\": \"bullet hole\"},\n {\"box_2d\": [388, 255, 420, 286], \"label\": \"bullet hole\"},\n {\"box_2d\": [324, 224, 358, 255], \"label\": \"bullet hole\"},\n {\"box_2d\": [299, 68, 333, 102], \"label\": \"bullet hole\"},\n {\"box_2d\": [251, 285, 285, 316], \"label\": \"bullet hole\"},\n {\"box_2d\": [203, 160, 237, 193], \"label\": \"bullet hole\"},\n {\"box_2d\": [205, 12, 238, 43], \"label\": \"bullet hole\"},\n {\"box_2d\": [107, 81, 141, 112], \"label\": \"bullet hole\"},\n {\"box_2d\": [194, 375, 224, 405], \"label\": \"bullet hole\"},\n {\"box_2d\": [180, 466, 212, 498], \"label\": \"bullet hole\"},\n {\"box_2d\": [68, 336, 101, 366], \"label\": \"bullet hole\"},\n {\"box_2d\": [27, 415, 60, 446], \"label\": \"bullet hole\"},\n {\"box_2d\": [20, 35, 53, 66], \"label\": \"bullet hole\"},\n {\"box_2d\": [66, 152, 98, 180], \"label\": \"bullet hole\"}\n]\n```", "correct": false, "input_tokens": 1222, "output_tokens": 1183, "elapsed_seconds": 10.872374332975596, "metadata": {"match_method": "map", "num_predictions": 34, "num_ground_truth": 34, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3396921455860138, "attempts": 1, "retries": 0, "total_seconds": 10.8902}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 129, "image": "9999942_00000_d_0000179_jpg.rf.00eabf74c1cd10c40aa228a466f9fe04.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [721, 256, 745, 274], \"label\": \"person\"},\n {\"box_2d\": [652, 111, 707, 177], \"label\": \"car\"},\n {\"box_2d\": [612, 131, 665, 200], \"label\": \"car\"},\n {\"box_2d\": [466, 345, 504, 400], \"label\": \"car\"},\n {\"box_2d\": [434, 355, 470, 409], \"label\": \"car\"},\n {\"box_2d\": [375, 372, 408, 421], \"label\": \"car\"},\n {\"box_2d\": [298, 379, 329, 424], \"label\": \"car\"},\n {\"box_2d\": [301, 276, 330, 326], \"label\": \"car\"},\n {\"box_2d\": [335, 251, 371, 300], \"label\": \"car\"},\n {\"box_2d\": [329, 187, 381, 223], \"label\": \"car\"},\n {\"box_2d\": [334, 138, 391, 170], \"label\": \"van\"},\n {\"box_2d\": [363, 56, 417, 100], \"label\": \"car\"},\n {\"box_2d\": [357, 16, 413, 60], \"label\": \"car\"},\n {\"box_2d\": [343, 0, 396, 25], \"label\": \"car\"},\n {\"box_2d\": [82, 395, 105, 423], \"label\": \"car\"},\n {\"box_2d\": [307, 678, 342, 719], \"label\": \"car\"},\n {\"box_2d\": [174, 833, 274, 877], \"label\": \"bus\"},\n {\"box_2d\": [40, 761, 102, 786], \"label\": \"bus\"},\n {\"box_2d\": [54, 880, 72, 886], \"label\": \"person\"},\n {\"box_2d\": [49, 913, 69, 927], \"label\": \"car\"},\n {\"box_2d\": [75, 935, 129, 965], \"label\": \"truck\"},\n {\"box_2d\": [112, 976, 150, 999], \"label\": \"van\"},\n {\"box_2d\": [116, 951, 138, 966], \"label\": \"tricycle\"},\n {\"box_2d\": [329, 968, 368, 997], \"label\": \"car\"},\n {\"box_2d\": [250, 811, 272, 819], \"label\": \"person\"},\n {\"box_2d\": [457, 771, 479, 782], \"label\": \"person\"},\n {\"box_2d\": [329, 719, 349, 738], \"label\": \"bike\"}\n]\n```", "correct": false, "input_tokens": 1217, "output_tokens": 918, "elapsed_seconds": 21.265789041062817, "metadata": {"match_method": "map", "num_predictions": 27, "num_ground_truth": 36, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.41177961230278015, "attempts": 1, "retries": 0, "total_seconds": 21.3721}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 130, "image": "125_jpg.rf.c69f3d1b75a33297315d1889af6311e9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [504, 151, 632, 187], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [349, 267, 390, 306], \"label\": \"resistor symbol\"},\n {\"box_2d\": [529, 375, 695, 394], \"label\": \"resistor symbol\"},\n {\"box_2d\": [346, 463, 386, 509], \"label\": \"resistor symbol\"},\n {\"box_2d\": [551, 636, 728, 656], \"label\": \"resistor symbol\"},\n {\"box_2d\": [357, 720, 404, 774], \"label\": \"resistor symbol\"},\n {\"box_2d\": [143, 735, 250, 783], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [518, 841, 651, 862], \"label\": \"resistor symbol\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 302, "elapsed_seconds": 18.161729000043124, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 18.1696}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 131, "image": "IMG_20250815_164311_jpg.rf.83efd32a603d001fd15e3979d744bb04.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [553, 185, 616, 260], \"label\": \"barcode\"},\n {\"box_2d\": [627, 694, 697, 771], \"label\": \"barcode\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 80, "elapsed_seconds": 22.880319125019014, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 23.3756}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 132, "image": "Container-259_jpg.rf.0707fcc208504e8c70d360815ec87ed2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [238, 580, 293, 728], \"label\": \"shipping container number\"},\n {\"box_2d\": [289, 578, 320, 636], \"label\": \"container ISO type code\"}\n]\n```", "correct": true, "input_tokens": 1232, "output_tokens": 85, "elapsed_seconds": 6.602648249943741, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 6.6184}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 133, "image": "1704195139360_jpg.rf.325f2c91dbc2bf8869d0a95b29652b2f.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [750, 742, 790, 792], \"label\": \"lentil grain\"},\n {\"box_2d\": [797, 434, 834, 480], \"label\": \"lentil grain\"},\n {\"box_2d\": [631, 534, 670, 577], \"label\": \"lentil grain\"},\n {\"box_2d\": [616, 616, 653, 659], \"label\": \"lentil grain\"},\n {\"box_2d\": [556, 433, 592, 473], \"label\": \"lentil grain\"},\n {\"box_2d\": [412, 253, 453, 295], \"label\": \"lentil grain\"},\n {\"box_2d\": [472, 614, 509, 653], \"label\": \"lentil grain\"},\n {\"box_2d\": [338, 566, 372, 605], \"label\": \"lentil grain\"},\n {\"box_2d\": [206, 438, 248, 483], \"label\": \"lentil grain\"},\n {\"box_2d\": [119, 738, 159, 783], \"label\": \"lentil grain\"},\n {\"box_2d\": [309, 750, 347, 791], \"label\": \"lentil grain\"},\n {\"box_2d\": [303, 822, 339, 867], \"label\": \"lentil grain\"},\n {\"box_2d\": [534, 862, 575, 908], \"label\": \"lentil grain\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 480, "elapsed_seconds": 10.969279250013642, "metadata": {"match_method": "map", "num_predictions": 13, "num_ground_truth": 13, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 10.9853}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 134, "image": "IMG_20250815_165037_jpg.rf.d4afcf541c2eaa2a500b0fc3e74f380a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [760, 823,,, 797, 859], \"label\": \"barcode\"},\n {\"box_2d\": [274, 566,,, 309, 608], \"label\": \"barcode\"},\n {\"box_2d\": [280, 843,,, 359, 881], \"label\": \"barcode\"},\n {\"box_2d\": [123, 265,,, 212, 311], \"label\": \"barcode\"},\n {\"box_2d\": [797, 220,,, 888, 267], \"label\": \"barcode\"},\n {\"box_2d\": [303, 428,,, 340, 471], \"label\": \"barcode\"},\n {\"box_2d\": [811, 430,,, 898, 474], \"label\": \"barcode\"},\n {\"box_2d\": [804, 665,,, 890, 706], \"label\": \"barcode\"}\n]\n```", "correct": false, "input_tokens": 1214, "output_tokens": 300, "elapsed_seconds": 45.16473266703542, "metadata": {"match_method": "map", "num_predictions": 0, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 45.5843}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 135, "image": "frame_0213_jpg.rf.a492e6ad2bcd535fad151a853f122d53.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [77, 127, 138, 165], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [88, 253, 145, 290], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [173, 232, 232, 272], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [167, 349, 227, 384], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [427, 233, 495, 272], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [635, 241, 704, 281], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [535, 365, 610, 405], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [624, 362, 695, 405], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [746, 349, 822, 394], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [708, 452, 789, 494], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [835, 469, 912, 511], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [421, 466, 483, 505], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [273, 444, 333, 476], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [191, 456, 240, 489], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [50, 415, 110, 447], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [108, 553, 166, 586], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [62, 620, 117, 651], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [213, 548, 269, 580], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [283, 542, 338, 578], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [420, 547, 482, 582], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [558, 563, 626, 603], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [579, 604, 622, 631], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [546, 670, 610, 707], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [678, 559, 745, 610], \"label\": \"garlic on conveyor\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 872, "elapsed_seconds": 42.64362512505613, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 23, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9962871074676514, "attempts": 1, "retries": 0, "total_seconds": 42.7731}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 136, "image": "1668147836__jpg.rf.c1a720811dddd913a56ced8dd87e3a53.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [52, 362, 111, 389], \"label\": \"three die\"},\n {\"box_2d\": [244, 142, 310, 177], \"label\": \"two die\"},\n {\"box_2d\": [246, 179, 300, 208], \"label\": \"one die\"},\n {\"box_2d\": [274, 284, 330, 312], \"label\": \"four die\"},\n {\"box_2d\": [232, 410, 289, 437], \"label\": \"two die\"},\n {\"box_2d\": [259, 565, 326, 598], \"label\": \"five die\"},\n {\"box_2d\": [47, 714, 108, 745], \"label\": \"five die\"},\n {\"box_2d\": [214, 741, 274, 772], \"label\": \"three die\"},\n {\"box_2d\": [339, 730, 407, 766], \"label\": \"two die\"},\n {\"box_2d\": [373, 657, 427, 685], \"label\": \"one die\"},\n {\"box_2d\": [345, 564, 399, 592], \"label\": \"three die\"},\n {\"box_2d\": [314, 527, 378, 560], \"label\": \"four die\"},\n {\"box_2d\": [339, 480, 396, 509], \"label\": \"five die\"},\n {\"box_2d\": [397, 569, 459, 601], \"label\": \"one die\"},\n {\"box_2d\": [468, 568, 524, 597], \"label\": \"three die\"},\n {\"box_2d\": [537, 628, 591, 656], \"label\": \"four die\"},\n {\"box_2d\": [428, 798, 485, 830], \"label\": \"six die\"},\n {\"box_2d\": [433, 825, 496, 860], \"label\": \"three die\"},\n {\"box_2d\": [545, 847, 607, 882], \"label\": \"one die\"},\n {\"box_2d\": [558, 901, 620, 936], \"label\": \"one die\"},\n {\"box_2d\": [642, 760, 694, 789], \"label\": \"six die\"},\n {\"box_2d\": [723, 825, 780, 857], \"label\": \"four die\"},\n {\"box_2d\": [755, 792, 815, 826], \"label\": \"six die\"},\n {\"box_2d\": [749, 717, 812, 752], \"label\": \"two die\"},\n {\"box_2d\": [799, 823, 853, 854], \"label\": \"one die\"},\n {\"box_2d\": [912, 777, 962, 806], \"label\": \"two die\"},\n {\"box_2d\": [805, 908, 860, 941], \"label\": \"two die\"},\n {\"box_2d\": [603, 569, 659, 597], \"label\": \"four die\"},\n {\"box_2d\": [696, 509, 750, 537], \"label\": \"six die\"},\n {\"box_2d\": [533, 458, 595, 492], \"label\": \"four die\"},\n {\"box_2d\": [633, 436, 697, 470], \"label\": \"four die\"},\n {\"box_2d\": [733, 463, 793, 494], \"label\": \"two die\"},\n {\"box_2d\": [894, 404, 956, 438], \"label\": \"one die\"},\n {\"box_2d\": [428, 380, 487, 411], \"label\": \"four die\"},\n {\"box_2d\": [404, 351, 456, 377], \"label\": \"four die\"},\n {\"box_2d\": [461, 315, 524, 349], \"label\": \"four die\"},\n {\"box_2d\": [494, 148, 554, 181], \"label\": \"five die\"},\n {\"box_2d\": [618, 139, 681, 175], \"label\": \"five die\"},\n {\"box_2d\": [647, 191, 706, 224], \"label\": \"four die\"},\n {\"box_2d\": [524, 274, 581, 304], \"label\": \"four die\"},\n {\"box_2d\": [565, 283, 626, 316], \"label\": \"four die\"},\n {\"box_2d\": [583, 350, 636, 378], \"label\": \"three die\"},\n {\"box_2d\": [660, 275, 716, 307], \"label\": \"two die\"},\n {\"box_2d\": [711, 278, 761, 305], \"label\": \"six die\"},\n {\"box_2d\": [733, 244, 787, 275], \"label\": \"two die\"},\n {\"box_2d\": [725, 211, 787, 245], \"label\": \"four die\"},\n {\"box_2d\": [759, 183, 821, 218], \"label\": \"three die\"},\n {\"box_2d\": [811, 241, 872, 275], \"label\": \"six die\"},\n {\"box_2d\": [757, 271, 811, 302], \"label\": \"four die\"},\n {\"box_2d\": [785, 300, 841, 331], \"label\": \"four die\"}\n]\n```", "correct": false, "input_tokens": 1252, "output_tokens": 1760, "elapsed_seconds": 37.53239233302884, "metadata": {"match_method": "map", "num_predictions": 50, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6670084595680237, "attempts": 1, "retries": 0, "total_seconds": 37.5969}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 137, "image": "Lego_170_high_jpeg.rf.173b945a080a292465fe84cab83086af.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [749, 498,, 845, 567], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [699, 474,, 755, 577], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [718, 424,, 800, 500], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [592, 321,, 667, 429], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [546, 348,, 623, 456], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [618, 417,, 688, 500], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [520, 256,, 591, 363], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [654, 255,, 725, 340], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [649, 219,, 743, 290], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [698, 281,, 764, 384], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [638, 104,, 695, 195], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [472, 466,, 565, 545], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [472, 392,, 555, 480], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [397, 378,, 491, 424], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [381, 427,, 451, 526], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [332, 296,, 377, 400], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [261, 576,, 343, 649], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [228, 499,, 330, 600], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [394, 104,, 479, 200], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [364, 36,,, 444, 138], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [252, 155,, 314, 264], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [196, 151,, 269, 254], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [196, 86,,, 282, 185], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [117, 96,,, 217, 209], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [85, 239,, 153, 342], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [151, 307,, 206, 393], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [117, 736,, 174, 832], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [119, 879,, 162, 974], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [176, 813,, 268, 916], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [336, 754,, 411, 837], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [408, 770,, 487, 833], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [485, 711,, 581, 768], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [539, 756,, 639, 825], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [585, 929,, 665, 991], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [711, 700,, 796, 779], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [669, 783,, 765, 835], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [671, 825,, 740, 905], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [736, 828,, 810, 892], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [804, 816,, 882, 899], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [851, 798,, 930, 880], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [702, 896,, 785, 960], \"label\": \"lego 3x2 brick\"}\n]\n```", "correct": false, "input_tokens": 1244, "output_tokens": 1651, "elapsed_seconds": 37.42194037500303, "metadata": {"match_method": "map", "num_predictions": 0, "num_ground_truth": 42, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 37.5174}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 138, "image": "DJI_0290_JPG_jpg.rf.052c45a410708d5965bfee1fe9dd1918.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 0, 1000, 183], \"label\": \"tower crane\"},\n {\"box_2d\": [489, 371, 588, 480], \"label\": \"excavator\"},\n {\"box_2d\": [321, 196, 368, 250], \"label\": \"excavator\"},\n {\"box_2d\": [290, 417, 360, 487], \"label\": \"concrete mixer\"},\n {\"box_2d\": [448, 835, 529, 930], \"label\": \"dump truck\"},\n {\"box_2d\": [200, 300, 249, 345], \"label\": \"dump truck\"},\n {\"box_2d\": [132, 220, 175, 250], \"label\": \"concrete mixer\"}\n]\n```", "correct": true, "input_tokens": 1209, "output_tokens": 256, "elapsed_seconds": 177.89207533397712, "metadata": {"match_method": "map", "num_predictions": 7, "num_ground_truth": 6, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.875, "attempts": 1, "retries": 0, "total_seconds": 179.1084}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 139, "image": "oil-tank-detection_oiltank_165_jpg.rf.7a5e38aa38fc11f1234038d454ec044d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [581, 14, 711, 123], \"label\": \"oil tank\"},\n {\"box_2d\": [715, 11, 853, 121], \"label\": \"oil tank\"},\n {\"box_2d\": [713, 127, 853, 240], \"label\": \"oil tank\"},\n {\"box_2d\": [579, 131, 709, 238], \"label\": \"oil tank\"},\n {\"box_2d\": [573, 247, 705, 355], \"label\": \"oil tank\"},\n {\"box_2d\": [713, 245, 845, 356], \"label\": \"oil tank\"},\n {\"box_2d\": [708, 361, 860, 488], \"label\": \"oil tank\"},\n {\"box_2d\": [556, 360, 702, 481], \"label\": \"oil tank\"},\n {\"box_2d\": [550, 486, 696, 608], \"label\": \"oil tank\"},\n {\"box_2d\": [706, 487, 856, 616], \"label\": \"oil tank\"},\n {\"box_2d\": [700, 616, 852, 744], \"label\": \"oil tank\"},\n {\"box_2d\": [546, 614, 691, 738], \"label\": \"oil tank\"},\n {\"box_2d\": [543, 742, 687, 865], \"label\": \"oil tank\"},\n {\"box_2d\": [699, 745, 847, 871], \"label\": \"oil tank\"}\n]\n```", "correct": true, "input_tokens": 1217, "output_tokens": 500, "elapsed_seconds": 29.291595457936637, "metadata": {"match_method": "map", "num_predictions": 14, "num_ground_truth": 14, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 29.3669}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 140, "image": "img268_png.rf.77932c9124f7e63f288e2be4179d983b.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [77, 250, 111, 299], \"label\": \"not gate symbol\"},\n {\"box_2d\": [29, 389, 108, 459], \"label\": \"and gate symbol\"},\n {\"box_2d\": [80, 545, 160, 616], \"label\": \"and gate symbol\"},\n {\"box_2d\": [153, 409, 190, 459], \"label\": \"not gate symbol\"},\n {\"box_2d\": [277, 409, 313, 459], \"label\": \"not gate symbol\"},\n {\"box_2d\": [228, 545, 310, 616], \"label\": \"and gate symbol\"},\n {\"box_2d\": [155, 702, 235, 775], \"label\": \"or gate symbol\"},\n {\"box_2d\": [356, 545, 434, 616], \"label\": \"and gate symbol\"},\n {\"box_2d\": [480, 569, 513, 616], \"label\": \"not gate symbol\"},\n {\"box_2d\": [405, 704, 487, 776], \"label\": \"and gate symbol\"},\n {\"box_2d\": [279, 860, 360, 935], \"label\": \"or gate symbol\"},\n {\"box_2d\": [553, 251, 591, 299], \"label\": \"not gate symbol\"},\n {\"box_2d\": [631, 251, 667, 299], \"label\": \"not gate symbol\"},\n {\"box_2d\": [557, 388, 636, 458], \"label\": \"and gate symbol\"},\n {\"box_2d\": [606, 545, 686, 617], \"label\": \"and gate symbol\"},\n {\"box_2d\": [731, 409, 769, 459], \"label\": \"not gate symbol\"},\n {\"box_2d\": [732, 545, 813, 616], \"label\": \"and gate symbol\"},\n {\"box_2d\": [858, 409, 895, 459], \"label\": \"not gate symbol\"},\n {\"box_2d\": [857, 546, 940, 616], \"label\": \"and gate symbol\"},\n {\"box_2d\": [886, 704, 965, 775], \"label\": \"and gate symbol\"},\n {\"box_2d\": [656, 701, 738, 774], \"label\": \"or gate symbol\"},\n {\"box_2d\": [757, 860, 839, 933], \"label\": \"or gate symbol\"}\n]\n```", "correct": true, "input_tokens": 1231, "output_tokens": 801, "elapsed_seconds": 20.45373608393129, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 20.4897}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 141, "image": "170211-2-h_JPG_jpg.rf.4b0d2b71f289bdb00cd0502c7a7a2a5d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [248, 464, 927, 567], \"label\": \"insulator flashover\"}\n]\n```", "correct": false, "input_tokens": 1218, "output_tokens": 49, "elapsed_seconds": 116.42504466697574, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 117.2373}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 142, "image": "floorplan-windows-doors_10361_png.rf.0282a156e3e18e32c9b31eca83a8df92.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [729, 591, 792, 654], \"label\": \"door\"},\n {\"box_2d\": [613, 476, 667, 538], \"label\": \"door\"},\n {\"box_2d\": [549, 477, 603, 539], \"label\": \"door\"},\n {\"box_2d\": [548, 720, 602, 783], \"label\": \"door\"},\n {\"box_2d\": [482, 593, 536, 654], \"label\": \"door\"},\n {\"box_2d\": [357, 704, 412, 766], \"label\": \"door\"},\n {\"box_2d\": [291, 770, 343, 825], \"label\": \"door\"},\n {\"box_2d\": [151, 770, 203, 821], \"label\": \"door\"},\n {\"box_2d\": [92, 121, 152, 198], \"label\": \"door\"},\n {\"box_2d\": [188, 174, 286, 199], \"label\": \"window\"},\n {\"box_2d\": [314, 174, 411, 199], \"label\": \"window\"},\n {\"box_2d\": [437, 174, 534, 198], \"label\": \"window\"},\n {\"box_2d\": [637, 174, 735, 198], \"label\": \"window\"},\n {\"box_2d\": [868, 288, 891, 396], \"label\": \"window\"},\n {\"box_2d\": [869, 590, 940, 656], \"label\": \"door\"},\n {\"box_2d\": [869, 777, 892, 886], \"label\": \"window\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 555, "elapsed_seconds": 10.954464333015494, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 11.0438}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 143, "image": "IMG_0588_jpeg.rf.ff3a785b0ac1ba5a56ab8eed6ca615a1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [32, 574, 96, 646], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [248, 549, 313, 628], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [237, 743, 316, 818], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [376, 481, 476, 533], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [439, 631, 513, 704], \"label\": \"caramel corn jelly bean\"},\n {\"box_2d\": [617, 554, 719, 602], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [629, 735, 736, 783], \"label\": \"mixed berry smoothie jelly bean\"}\n]\n```", "correct": true, "input_tokens": 1219, "output_tokens": 274, "elapsed_seconds": 14.520737458020449, "metadata": {"match_method": "map", "num_predictions": 7, "num_ground_truth": 7, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 14.568}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 144, "image": "signatures_image_100_png_jpg.rf.1b732e075f2453b4400e76d3923fe526.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [322, 72, 396, 434], \"label\": \"signature\"},\n {\"box_2d\": [345, 526, 391, 891], \"label\": \"signature\"},\n {\"box_2d\": [463, 128, 542, 444], \"label\": \"signature\"},\n {\"box_2d\": [450, 555, 514, 819], \"label\": \"signature\"},\n {\"box_2d\": [586, 108, 639, 427], \"label\": \"signature\"}\n]\n```", "correct": true, "input_tokens": 1200, "output_tokens": 181, "elapsed_seconds": 62.458978791953996, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 62.4722}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 145, "image": "paper-parts_8548_70_jpg.rf.61a39e9181e5ebef57cae728c932b730.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [96, 198, 396, 829], \"label\": \"figure\"},\n {\"box_2d\": [400, 118, 430, 882], \"label\": \"figure caption\"},\n {\"box_2d\": [482, 118, 512, 881], \"label\": \"table caption\"},\n {\"box_2d\": [529, 107, 585, 891], \"label\": \"table\"},\n {\"box_2d\": [633, 118, 654, 312], \"label\": \"subsection\"},\n {\"box_2d\": [674, 118, 723, 881], \"label\": \"paragraph\"},\n {\"box_2d\": [742, 305, 766, 882], \"label\": \"equation\"},\n {\"box_2d\": [779, 118, 880, 882], \"label\": \"paragraph\"},\n {\"box_2d\": [901, 490, 913, 509], \"label\": \"page number\"}\n]\n```", "correct": true, "input_tokens": 1255, "output_tokens": 320, "elapsed_seconds": 57.603800583980046, "metadata": {"match_method": "map", "num_predictions": 9, "num_ground_truth": 9, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8749998807907104, "attempts": 1, "retries": 0, "total_seconds": 57.6614}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 146, "image": "19_jpeg_jpg.rf.34c89435b5ff9122cacb0cab18a49f99.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [791, 35, 900, 141], \"label\": \"potato\"},\n {\"box_2d\": [603, 57, 710, 175], \"label\": \"potato\"},\n {\"box_2d\": [403, 66, 496, 152], \"label\": \"potato\"},\n {\"box_2d\": [220, 0, 311, 82], \"label\": \"potato\"},\n {\"box_2d\": [32, 20, 125, 105], \"label\": \"potato\"},\n {\"box_2d\": [10, 333, 96, 429], \"label\": \"potato\"},\n {\"box_2d\": [186, 279, 297, 356], \"label\": \"potato\"},\n {\"box_2d\": [189, 396, 294, 476], \"label\": \"potato\"},\n {\"box_2d\": [403, 329, 505, 413], \"label\": \"potato\"},\n {\"box_2d\": [397, 489, 513, 569], \"label\": \"potato\"},\n {\"box_2d\": [199, 549, 307, 665], \"label\": \"potato\"},\n {\"box_2d\": [24, 785, 130, 892], \"label\": \"potato\"},\n {\"box_2d\": [219, 791, 319, 900], \"label\": \"potato\"},\n {\"box_2d\": [395, 709, 524, 793], \"label\": \"potato\"},\n {\"box_2d\": [610, 781, 713, 864], \"label\": \"potato\"},\n {\"box_2d\": [831, 487, 930, 581], \"label\": \"potato\"},\n {\"box_2d\": [845, 935, 949, 1000], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1240, "output_tokens": 580, "elapsed_seconds": 9.665211290935986, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 18, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9405940771102905, "attempts": 1, "retries": 0, "total_seconds": 9.7072}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 147, "image": "f12_jpg.rf.fa104f4d104f326761c5485949eec7bb.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [721, 155, 932, 419], \"label\": \"wildfire\"},\n {\"box_2d\": [324, 239, 610, 381], \"label\": \"wildfire\"},\n {\"box_2d\": [315, 597, 558, 787], \"label\": \"wildfire\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 117, "elapsed_seconds": 37.83479908306617, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 37.9578}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 148, "image": "f36_jpg.rf.8c77ed13627d4f4c8abf32c1c7573442.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 62, 588, 307], \"label\": \"wildfire\"},\n {\"box_2d\": [0, 704, 412, 839], \"label\": \"wildfire\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 77, "elapsed_seconds": 63.94751837500371, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 64.0688}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 149, "image": "46_jpg.rf.ed53b85cf8112394121da4a88ce9efc4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [572, 150, 725, 213], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [519, 302, 651, 323], \"label\": \"resistor symbol\"},\n {\"box_2d\": [376, 376, 428, 444], \"label\": \"resistor symbol\"},\n {\"box_2d\": [171, 471, 305, 531], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [571, 465, 715, 521], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [381, 560, 440, 642], \"label\": \"resistor symbol\"},\n {\"box_2d\": [529, 670, 691, 692], \"label\": \"resistor symbol\"},\n {\"box_2d\": [602, 808, 729, 859], \"label\": \"dc current source symbol\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 304, "elapsed_seconds": 21.005742499954067, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 21.1093}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 150, "image": "Lego_131_low_jpeg.rf.be14ef4b77b52f77c1ed45c59ee5b3a4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [757, 787,, 860, 882], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [814, 730,, 879, 822], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [788, 424,, 867, 514], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [745, 597,, 833, 678], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [715, 386,, 795, 469], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [680, 439,, 765, 526], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [659, 342,, 718, 449], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [597, 368,, 663, 457], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [517, 329,, 598, 405], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [437, 281,, 537, 357], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [373, 267,, 467, 331], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [514, 160,, 599, 262], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [636, 189,, 705, 297], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [699, 171,, 766, 278], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [812, 261,, 906, 373], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [274, 507,, 353, 596], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [248, 229,, 338, 318], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [226, 309,, 305, 425], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [125, 275,, 211, 391], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [145, 146,, 219, 253], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [188, 34,, 289, 150], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [41, 439,, 138, 551], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [64, 616,, 155, 694], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [149, 622,, 236, 695], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [0, 730,, 70, 795], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [250, 651,, 326, 746], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [183, 930,, 286, 985], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [351, 685,, 449, 746], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [373, 728,, 476, 807], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [449, 526,, 495, 629], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [468, 746,, 569, 832], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [441, 800,, 541, 891], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [533, 816,, 601, 896], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [687, 916,, 785, 999], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [457, 945,, 546, 1000], \"label\": \"lego 4x1 brick\"}\n]\n```", "correct": false, "input_tokens": 1244, "output_tokens": 1407, "elapsed_seconds": 45.93293541693129, "metadata": {"match_method": "map", "num_predictions": 0, "num_ground_truth": 35, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 46.0213}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 151, "image": "IMG_6677_jpeg_jpg.rf.66bd4292eb85ae8da61a8cef3e3384f8.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [540, 54, 608, 250], \"label\": \"green poker chip\"},\n {\"box_2d\": [535, 312, 607, 492], \"label\": \"orange poker chip\"},\n {\"box_2d\": [525, 297, 587, 483], \"label\": \"orange poker chip\"},\n {\"box_2d\": [504, 298, 562, 482], \"label\": \"orange poker chip\"},\n {\"box_2d\": [489, 297, 544, 480], \"label\": \"orange poker chip\"},\n {\"box_2d\": [468, 298, 526, 488], \"label\": \"orange poker chip\"},\n {\"box_2d\": [455, 298, 510, 488], \"label\": \"orange poker chip\"},\n {\"box_2d\": [434, 297, 492, 491], \"label\": \"orange poker chip\"},\n {\"box_2d\": [423, 297, 474, 491], \"label\": \"orange poker chip\"},\n {\"box_2d\": [368, 291, 455, 489], \"label\": \"orange poker chip\"},\n {\"box_2d\": [531, 521, 614, 715], \"label\": \"orange poker chip\"},\n {\"box_2d\": [498, 524, 581, 709], \"label\": \"orange poker chip\"},\n {\"box_2d\": [462, 533, 560, 720], \"label\": \"orange poker chip\"},\n {\"box_2d\": [525, 727, 602, 932], \"label\": \"green poker chip\"},\n {\"box_2d\": [499, 718, 580, 920], \"label\": \"green poker chip\"},\n {\"box_2d\": [450, 708, 542, 901], \"label\": \"green poker chip\"},\n {\"box_2d\": [373, 30, 461, 244], \"label\": \"green poker chip\"},\n {\"box_2d\": [402, 56, 477, 255], \"label\": \"green poker chip\"},\n {\"box_2d\": [422, 51, 493, 259], \"label\": \"green poker chip\"},\n {\"box_2d\": [452, 51, 510, 255], \"label\": \"green poker chip\"},\n {\"box_2d\": [465, 51, 523, 255], \"label\": \"green poker chip\"},\n {\"box_2d\": [478, 54, 541, 255], \"label\": \"green poker chip\"},\n {\"box_2d\": [496, 53, 559, 253], \"label\": \"green poker chip\"},\n {\"box_2d\": [513, 56, 575, 252], \"label\": \"green poker chip\"},\n {\"box_2d\": [523, 56, 590, 255], \"label\": \"green poker chip\"}\n]\n```", "correct": true, "input_tokens": 1231, "output_tokens": 902, "elapsed_seconds": 16.20702125004027, "metadata": {"match_method": "map", "num_predictions": 25, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9603960514068604, "attempts": 1, "retries": 0, "total_seconds": 16.232}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 152, "image": "indir-1-_jpeg_jpg.rf.8d614705afcf35f2ac222aa7d9e608ff.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [749, 196, 795, 270], \"label\": \"dimension annotation\"},\n {\"box_2d\": [761, 138, 799, 187], \"label\": \"dimension annotation\"},\n {\"box_2d\": [727, 736, 756, 759], \"label\": \"dimension annotation\"},\n {\"box_2d\": [727, 785, 823, 807], \"label\": \"dimension annotation\"},\n {\"box_2d\": [798, 738, 823, 759], \"label\": \"dimension annotation\"},\n {\"box_2d\": [767, 613, 785, 672], \"label\": \"dimension annotation\"},\n {\"box_2d\": [850, 628, 867, 754], \"label\": \"dimension annotation\"},\n {\"box_2d\": [850, 317, 867, 426], \"label\": \"dimension annotation\"},\n {\"box_2d\": [682, 340, 700, 531], \"label\": \"dimension annotation\"},\n {\"box_2d\": [565, 160, 646, 307], \"label\": \"dimension annotation\"},\n {\"box_2d\": [429, 155, 513, 287], \"label\": \"dimension annotation\"},\n {\"box_2d\": [447, 626, 502, 725], \"label\": \"dimension annotation\"},\n {\"box_2d\": [612, 653, 660, 748], \"label\": \"dimension annotation\"},\n {\"box_2d\": [776, 700, 815, 723], \"label\": \"dimension annotation\"},\n {\"box_2d\": [914, 208, 984, 976], \"label\": \"technical drawing table\"}\n]\n```", "correct": false, "input_tokens": 1233, "output_tokens": 538, "elapsed_seconds": 8.520193584030494, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5247524380683899, "attempts": 1, "retries": 0, "total_seconds": 8.5354}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 153, "image": "1217_4_jpg.rf.834d702ab7cd425111d5c60612f66627.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [4, 37, 108, 128], \"label\": \"black rook\"},\n {\"box_2d\": [26, 134, 118, 240], \"label\": \"black knight\"},\n {\"box_2d\": [17, 286, 117, 375], \"label\": \"black bishop\"},\n {\"box_2d\": [0, 405, 121, 492], \"label\": \"black king\"},\n {\"box_2d\": [2, 526, 121, 611], \"label\": \"black queen\"},\n {\"box_2d\": [26, 654, 129, 742], \"label\": \"black bishop\"},\n {\"box_2d\": [5, 769, 113, 879], \"label\": \"black knight\"},\n {\"box_2d\": [14, 899, 114, 999], \"label\": \"black rook\"},\n {\"box_2d\": [162, 34, 234, 113], \"label\": \"black pawn\"},\n {\"box_2d\": [163, 181, 234, 252], \"label\": \"black pawn\"},\n {\"box_2d\": [159, 286, 231, 357], \"label\": \"black pawn\"},\n {\"box_2d\": [172, 412, 244, 483], \"label\": \"black pawn\"},\n {\"box_2d\": [169, 544, 241, 616], \"label\": \"black pawn\"},\n {\"box_2d\": [165, 651, 238, 722], \"label\": \"black pawn\"},\n {\"box_2d\": [162, 764, 234, 835], \"label\": \"black pawn\"},\n {\"box_2d\": [151, 892, 223, 972], \"label\": \"black pawn\"},\n {\"box_2d\": [771, 18, 845, 97], \"label\": \"white pawn\"},\n {\"box_2d\": [772, 159, 845, 231], \"label\": \"white pawn\"},\n {\"box_2d\": [765, 278, 838, 350], \"label\": \"white pawn\"},\n {\"box_2d\": [768, 396, 843, 469], \"label\": \"white pawn\"},\n {\"box_2d\": [757, 498, 831, 569], \"label\": \"white pawn\"},\n {\"box_2d\": [772, 651, 846, 723], \"label\": \"white pawn\"},\n {\"box_2d\": [757, 773, 829, 848], \"label\": \"white pawn\"},\n {\"box_2d\": [754, 876, 828, 956], \"label\": \"white pawn\"},\n {\"box_2d\": [880, 12, 980, 108], \"label\": \"white rook\"},\n {\"box_2d\": [888, 124, 985, 232], \"label\": \"white knight\"},\n {\"box_2d\": [885, 276, 989, 366], \"label\": \"white bishop\"},\n {\"box_2d\": [871, 389, 995, 477], \"label\": \"white king\"},\n {\"box_2d\": [878, 515, 998, 601], \"label\": \"white queen\"},\n {\"box_2d\": [874, 634, 975, 723], \"label\": \"white bishop\"},\n {\"box_2d\": [891, 764, 984, 868], \"label\": \"white knight\"},\n {\"box_2d\": [875, 887, 977, 988], \"label\": \"white rook\"}\n]\n```", "correct": true, "input_tokens": 1259, "output_tokens": 1115, "elapsed_seconds": 40.903985917102545, "metadata": {"match_method": "map", "num_predictions": 32, "num_ground_truth": 32, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 41.1889}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 154, "image": "123_jpg.rf.dd57cefde1b1d657a6704903a0c29594.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [171, 326, 200, 377], \"label\": \"resistor symbol\"},\n {\"box_2d\": [164, 624, 190, 686], \"label\": \"resistor symbol\"},\n {\"box_2d\": [276, 208, 349, 244], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [266, 441, 335, 474], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [230, 805, 321, 848], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [456, 326, 487, 374], \"label\": \"resistor symbol\"},\n {\"box_2d\": [447, 656, 480, 704], \"label\": \"resistor symbol\"},\n {\"box_2d\": [610, 216, 684, 236], \"label\": \"resistor symbol\"},\n {\"box_2d\": [596, 834, 663, 849], \"label\": \"resistor symbol\"},\n {\"box_2d\": [637, 447, 720, 493], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [829, 623, 855, 678], \"label\": \"resistor symbol\"},\n {\"box_2d\": [819, 312, 903, 358], \"label\": \"dc voltage source symbol\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 449, "elapsed_seconds": 7.209288832964376, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 7.222}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 155, "image": "Container_799_jpg.rf.18c1df3db98a6063d7285fb7c0ffd780.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [224, 804, 263, 945], \"label\": \"shipping container number\"},\n {\"box_2d\": [271, 865, 302, 904], \"label\": \"container ISO type code\"},\n {\"box_2d\": [134, 349, 287, 367], \"label\": \"container ISO type code\"},\n {\"box_2d\": [146, 304, 566, 326], \"label\": \"shipping container number\"}\n]\n```", "correct": true, "input_tokens": 1232, "output_tokens": 158, "elapsed_seconds": 9.171019459026866, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 9.1892}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 156, "image": "08fd33_0_1_png_jpg.rf.49b1ec7a3f580266e0267dce06883980.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [461, 147, 502, 158], \"label\": \"goalkeeper\"},\n {\"box_2d\": [416, 250, 452, 260], \"label\": \"player\"},\n {\"box_2d\": [341, 439, 369, 448], \"label\": \"player\"},\n {\"box_2d\": [376, 488, 411, 498], \"label\": \"referee\"},\n {\"box_2d\": [374, 532, 404, 541], \"label\": \"player\"},\n {\"box_2d\": [397, 508, 431, 517], \"label\": \"player\"},\n {\"box_2d\": [441, 492, 478, 504], \"label\": \"player\"},\n {\"box_2d\": [478, 431, 526, 443], \"label\": \"player\"},\n {\"box_2d\": [524, 408, 560, 421], \"label\": \"player\"},\n {\"box_2d\": [612, 429, 661, 441], \"label\": \"player\"},\n {\"box_2d\": [399, 606, 433, 616], \"label\": \"player\"},\n {\"box_2d\": [350, 627, 378, 636], \"label\": \"player\"},\n {\"box_2d\": [371, 631, 403, 640], \"label\": \"player\"},\n {\"box_2d\": [387, 660, 422, 670], \"label\": \"player\"},\n {\"box_2d\": [416, 623, 452, 634], \"label\": \"player\"},\n {\"box_2d\": [418, 646, 454, 657], \"label\": \"player\"},\n {\"box_2d\": [448, 617, 490, 626], \"label\": \"player\"},\n {\"box_2d\": [504, 627, 544, 637], \"label\": \"player\"},\n {\"box_2d\": [465, 706, 510, 720], \"label\": \"player\"},\n {\"box_2d\": [598, 680, 651, 694], \"label\": \"player\"},\n {\"box_2d\": [572, 774, 611, 786], \"label\": \"player\"},\n {\"box_2d\": [631, 838, 682, 851], \"label\": \"player\"},\n {\"box_2d\": [644, 825, 702, 843], \"label\": \"referee\"},\n {\"box_2d\": [401, 904, 443, 918], \"label\": \"goalkeeper\"},\n {\"box_2d\": [607, 340, 618, 345], \"label\": \"football\"},\n {\"box_2d\": [297, 325, 323, 333], \"label\": \"referee\"}\n]\n```", "correct": true, "input_tokens": 1242, "output_tokens": 901, "elapsed_seconds": 10.732695249957033, "metadata": {"match_method": "map", "num_predictions": 26, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 10.857}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 157, "image": "Lego_122_low_jpeg.rf.ea0402c215977271fc16971fe6cad37a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [77, 192, 155, 309], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [138, 364, 246, 443], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [188, 464, 285, 575], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [215, 593, 314, 648], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [100, 650, 211, 748], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [96, 833, 198, 935], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [60, 777, 154, 860], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [268, 315, 355, 408], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [348, 321, 444, 383], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [342, 183, 436, 261], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [378, 55, 460, 161], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [508, 134, 597, 253], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [785, 188, 870, 285], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [627, 402, 710, 479], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [710, 389, 813, 480], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [710, 452, 795, 536], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [750, 551, 827, 608], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [340, 473, 444, 554], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [553, 538, 640, 626], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [554, 627, 625, 712], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [609, 688, 689, 740], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [374, 680, 462, 766], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [334, 748, 438, 827], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [326, 938, 425, 1000], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [600, 913, 675, 965], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [636, 741, 709, 842], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [692, 780, 784, 850], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [679, 825, 764, 930], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [779, 875, 862, 933], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [761, 945, 857, 1000], \"label\": \"lego 4x1 brick\"}\n]\n```", "correct": false, "input_tokens": 1244, "output_tokens": 1180, "elapsed_seconds": 18.2030952910427, "metadata": {"match_method": "map", "num_predictions": 30, "num_ground_truth": 30, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7091309428215027, "attempts": 1, "retries": 0, "total_seconds": 18.3112}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 158, "image": "20230220_110126_jpg.rf.9dd19de1f35f973245770a80a67f5a86.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [470, 39, 491, 130], \"label\": \"crack\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 45, "elapsed_seconds": 4.77214625000488, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 4.794}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 159, "image": "20230224_102553_jpg.rf.405f8900643fe92cf5dde61e03ca7cd9.jpg", "expected": "", "predicted": "```json\n[{\"box_2d\": [596, 815, 709, 914], \"label\": \"crack\"}]```", "correct": true, "input_tokens": 1225, "output_tokens": 40, "elapsed_seconds": 2.619982708012685, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 2.6416}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 160, "image": "40_jpg.rf.9c5565949caf7c10eef3c765c461dcc3.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [36, 161, 355, 217], \"label\": \"blood sample tube\"},\n {\"box_2d\": [205, 167, 517, 261], \"label\": \"blood sample tube\"},\n {\"box_2d\": [389, 152, 694, 272], \"label\": \"blood sample tube\"},\n {\"box_2d\": [150, 256, 466, 336], \"label\": \"blood sample tube\"},\n {\"box_2d\": [36, 319, 158, 548], \"label\": \"blood sample tube\"},\n {\"box_2d\": [30, 503, 94, 742], \"label\": \"blood sample tube\"},\n {\"box_2d\": [83, 597, 159, 845], \"label\": \"blood sample tube\"},\n {\"box_2d\": [72, 841, 405, 895], \"label\": \"blood sample tube\"},\n {\"box_2d\": [145, 886, 472, 938], \"label\": \"blood sample tube\"},\n {\"box_2d\": [144, 478, 466, 533], \"label\": \"blood sample tube\"},\n {\"box_2d\": [138, 534, 444, 667], \"label\": \"blood sample tube\"},\n {\"box_2d\": [197, 581, 430, 788], \"label\": \"blood sample tube\"},\n {\"box_2d\": [264, 767, 558, 927], \"label\": \"blood sample tube\"},\n {\"box_2d\": [384, 550, 503, 795], \"label\": \"blood sample tube\"},\n {\"box_2d\": [430, 594, 547, 839], \"label\": \"blood sample tube\"},\n {\"box_2d\": [512, 691, 648, 945], \"label\": \"blood sample tube\"},\n {\"box_2d\": [556, 666, 709, 912], \"label\": \"blood sample tube\"},\n {\"box_2d\": [602, 616, 738, 861], \"label\": \"blood sample tube\"},\n {\"box_2d\": [611, 480, 731, 730], \"label\": \"blood sample tube\"},\n {\"box_2d\": [670, 491, 739, 736], \"label\": \"blood sample tube\"},\n {\"box_2d\": [392, 372, 570, 600], \"label\": \"blood sample tube\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 762, "elapsed_seconds": 8.660656958003528, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 21, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 8.6906}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 161, "image": "car-part-detection_Car-damages-765_png_jpg.rf.98f80e9f33638af692acb0b18adddcfd.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [500, 502, 620, 742], \"label\": \"headlight\"},\n {\"box_2d\": [290, 206, 355, 326], \"label\": \"mirror\"},\n {\"box_2d\": [132, 315, 344, 675], \"label\": \"windshield\"},\n {\"box_2d\": [251, 389, 551, 909], \"label\": \"hood\"},\n {\"box_2d\": [144, 212, 316, 310], \"label\": \"front window\"},\n {\"box_2d\": [137, 151, 290, 213], \"label\": \"back window\"},\n {\"box_2d\": [137, 179, 639, 341], \"label\": \"front door\"},\n {\"box_2d\": [137, 108, 520, 224], \"label\": \"back door\"},\n {\"box_2d\": [465, 458, 895, 932], \"label\": \"front bumper\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 325, "elapsed_seconds": 7.677124458015896, "metadata": {"match_method": "map", "num_predictions": 9, "num_ground_truth": 13, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7281727194786072, "attempts": 1, "retries": 0, "total_seconds": 7.6952}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 162, "image": "frame_0089_jpg.rf.c7cd5f3b9d3ee6d5f30b8357b148d8d4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [238, 325, 278, 350], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [248, 381, 293, 409], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [258, 442, 303, 469], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [281, 502, 323, 529], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [336, 314, 381, 338], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [351, 371, 399, 398], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [363, 431, 410, 459], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [383, 493, 432, 521], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [443, 306, 491, 331], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [461, 365, 511, 392], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [474, 425, 524, 453], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [496, 488, 545, 516], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [918, 292, 966, 317], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [930, 352, 978, 379], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [942, 415, 991, 442], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [949, 481, 997, 507], \"label\": \"soda bottle cap\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 588, "elapsed_seconds": 41.216619792045094, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 41.7747}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 163, "image": "IMG_5103_JPG.rf.05aa0caa3f6431dd232e7223cc79a35a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [592, 270, 657, 300], \"label\": \"face\"},\n {\"box_2d\": [639, 323, 697, 353], \"label\": \"face\"},\n {\"box_2d\": [686, 401, 756, 444], \"label\": \"face\"},\n {\"box_2d\": [368, 404, 396, 419], \"label\": \"face\"},\n {\"box_2d\": [362, 386, 390, 398], \"label\": \"face\"},\n {\"box_2d\": [356, 351, 386, 367], \"label\": \"face\"},\n {\"box_2d\": [417, 539, 449, 557], \"label\": \"face\"},\n {\"box_2d\": [425, 574, 456, 591], \"label\": \"face\"},\n {\"box_2d\": [438, 619, 469, 636], \"label\": \"face\"},\n {\"box_2d\": [457, 771, 490, 787], \"label\": \"face\"},\n {\"box_2d\": [434, 712, 463, 728], \"label\": \"face\"},\n {\"box_2d\": [425, 687, 457, 703], \"label\": \"face\"},\n {\"box_2d\": [416, 646, 451, 665], \"label\": \"face\"},\n {\"box_2d\": [395, 605, 424, 622], \"label\": \"face\"},\n {\"box_2d\": [391, 560, 418, 577], \"label\": \"face\"},\n {\"box_2d\": [373, 604, 398, 617], \"label\": \"face\"},\n {\"box_2d\": [381, 667, 407, 681], \"label\": \"face\"},\n {\"box_2d\": [371, 714, 395, 727], \"label\": \"face\"},\n {\"box_2d\": [334, 755, 360, 769], \"label\": \"face\"},\n {\"box_2d\": [332, 720, 358, 732], \"label\": \"face\"},\n {\"box_2d\": [332, 699, 361, 711], \"label\": \"face\"},\n {\"box_2d\": [364, 678, 393, 692], \"label\": \"face\"},\n {\"box_2d\": [324, 661, 352, 675], \"label\": \"face\"},\n {\"box_2d\": [338, 649, 367, 663], \"label\": \"face\"},\n {\"box_2d\": [319, 634, 345, 645], \"label\": \"face\"},\n {\"box_2d\": [374, 628, 398, 642], \"label\": \"face\"},\n {\"box_2d\": [298, 608, 323, 620], \"label\": \"face\"},\n {\"box_2d\": [341, 616, 366, 629], \"label\": \"face\"},\n {\"box_2d\": [330, 501, 356, 515], \"label\": \"face\"},\n {\"box_2d\": [317, 528, 347, 542], \"label\": \"face\"},\n {\"box_2d\": [292, 550, 322, 564], \"label\": \"face\"},\n {\"box_2d\": [288, 522, 319, 535], \"label\": \"face\"},\n {\"box_2d\": [317, 402, 341, 417], \"label\": \"face\"},\n {\"box_2d\": [326, 444, 353, 460], \"label\": \"face\"},\n {\"box_2d\": [289, 441, 315, 452], \"label\": \"face\"},\n {\"box_2d\": [284, 419, 307, 431], \"label\": \"face\"},\n {\"box_2d\": [269, 470, 294, 482], \"label\": \"face\"},\n {\"box_2d\": [260, 483, 287, 495], \"label\": \"face\"},\n {\"box_2d\": [308, 537, 336, 549], \"label\": \"face\"},\n {\"box_2d\": [297, 497, 322, 511], \"label\": \"face\"},\n {\"box_2d\": [326, 471, 352, 484], \"label\": \"face\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 1406, "elapsed_seconds": 29.317276749992743, "metadata": {"match_method": "map", "num_predictions": 41, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.19990570843219757, "attempts": 1, "retries": 0, "total_seconds": 29.7884}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 164, "image": "fall-detection_camerathree-second_mp4-114_jpg.rf.8d4ab219233d1b243e3602fc397d1bfa.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [581, 358, 678, 588], \"label\": \"fallen person\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 47, "elapsed_seconds": 25.901602374971844, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 25.9181}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 165, "image": "lot301_JPEG_jpg.rf.190ac2533508d09b091e542956d526a5.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [779, 531, 811, 567], \"label\": \"chicory seed\"},\n {\"box_2d\": [329, 767, 353, 811], \"label\": \"chicory seed\"},\n {\"box_2d\": [737, 290, 756, 305], \"label\": \"chicory seed\"},\n {\"box_2d\": [332, 353, 360, 386], \"label\": \"chicory seed\"},\n {\"box_2d\": [368, 286, 400, 319], \"label\": \"chicory seed\"},\n {\"box_2d\": [540, 385, 570, 429], \"label\": \"chicory seed\"},\n {\"box_2d\": [553, 755, 588, 774], \"label\": \"chicory seed\"},\n {\"box_2d\": [469, 469, 495, 502], \"label\": \"chicory seed\"},\n {\"box_2d\": [657, 773, 678, 813], \"label\": \"chicory seed\"},\n {\"box_2d\": [496, 150, 529, 174], \"label\": \"chicory seed\"},\n {\"box_2d\": [445, 321, 487, 355], \"label\": \"chicory seed\"},\n {\"box_2d\": [380, 646, 401, 686], \"label\": \"chicory seed\"},\n {\"box_2d\": [666, 353, 691, 391], \"label\": \"chicory seed\"},\n {\"box_2d\": [555, 653, 585, 677], \"label\": \"chicory seed\"},\n {\"box_2d\": [389, 198, 423, 236], \"label\": \"chicory seed\"},\n {\"box_2d\": [715, 763, 735, 804], \"label\": \"chicory seed\"},\n {\"box_2d\": [699, 745, 719, 783], \"label\": \"chicory seed\"},\n {\"box_2d\": [699, 600, 725, 639], \"label\": \"chicory seed\"},\n {\"box_2d\": [210, 408, 229, 449], \"label\": \"chicory seed\"},\n {\"box_2d\": [472, 805, 502, 838], \"label\": \"chicory seed\"},\n {\"box_2d\": [317, 738, 355, 761], \"label\": \"chicory seed\"},\n {\"box_2d\": [694, 468, 724, 504], \"label\": \"chicory seed\"},\n {\"box_2d\": [553, 178, 584, 211], \"label\": \"chicory seed\"},\n {\"box_2d\": [423, 185, 466, 211], \"label\": \"chicory seed\"},\n {\"box_2d\": [454, 423, 499, 449], \"label\": \"chicory seed\"},\n {\"box_2d\": [393, 305, 425, 338], \"label\": \"chicory seed\"},\n {\"box_2d\": [377, 178, 412, 220], \"label\": \"chicory seed\"},\n {\"box_2d\": [660, 196, 687, 234], \"label\": \"chicory seed\"},\n {\"box_2d\": [306, 213, 339, 245], \"label\": \"chicory seed\"},\n {\"box_2d\": [368, 747, 386, 792], \"label\": \"chicory seed\"},\n {\"box_2d\": [313, 585, 339, 623], \"label\": \"chicory seed\"},\n {\"box_2d\": [726, 272, 756, 306], \"label\": \"chicory seed\"},\n {\"box_2d\": [700, 294, 726, 314], \"label\": \"chicory seed\"},\n {\"box_2d\": [790, 580, 813, 623], \"label\": \"chicory seed\"},\n {\"box_2d\": [498, 710, 521, 744], \"label\": \"chicory seed\"},\n {\"box_2d\": [512, 705, 545, 740], \"label\": \"chicory seed\"},\n {\"box_2d\": [607, 195, 628, 232], \"label\": \"chicory seed\"},\n {\"box_2d\": [712, 250, 731, 293], \"label\": \"chicory seed\"},\n {\"box_2d\": [489, 817, 520, 847], \"label\": \"chicory seed\"},\n {\"box_2d\": [520, 388, 543, 429], \"label\": \"chicory seed\"},\n {\"box_2d\": [275, 729, 313, 749], \"label\": \"chicory seed\"},\n {\"box_2d\": [336, 513, 377, 535], \"label\": \"chicory seed\"},\n {\"box_2d\": [617, 169, 654, 191], \"label\": \"chicory seed\"},\n {\"box_2d\": [519, 661, 550, 686], \"label\": \"chicory seed\"},\n {\"box_2d\": [377, 491, 419, 515], \"label\": \"chicory seed\"},\n {\"box_2d\": [623, 312, 664, 335], \"label\": \"chicory seed\"},\n {\"box_2d\": [822, 456, 850, 494], \"label\": \"chicory seed\"},\n {\"box_2d\": [506, 360, 533, 401], \"label\": \"chicory seed\"},\n {\"box_2d\": [506, 337, 544, 361], \"label\": \"chicory seed\"},\n {\"box_2d\": [499, 672, 540, 699], \"label\": \"chicory seed\"},\n {\"box_2d\": [644, 728, 682, 754], \"label\": \"chicory seed\"},\n {\"box_2d\": [513, 297, 548, 336], \"label\": \"chicory seed\"},\n {\"box_2d\": [614, 672, 653, 691], \"label\": \"chicory seed\"},\n {\"box_2d\": [230, 392, 255, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [306, 608, 342, 623], \"label\": \"chicory seed\"},\n {\"box_2d\": [380, 511, 419, 535], \"label\": \"chicory seed\"},\n {\"box_2d\": [779, 300, 796, 343], \"label\": \"chicory seed\"},\n {\"box_2d\": [489, 316, 509, 355], \"label\": \"chicory seed\"},\n {\"box_2d\": [685, 650, 713, 686], \"label\": \"chicory seed\"},\n {\"box_2d\": [666, 270, 703, 296], \"label\": \"chicory seed\"},\n {\"box_2d\": [473, 567, 500, 605], \"label\": \"chicory seed\"},\n {\"box_2d\": [412, 234, 444, 271], \"label\": \"chicory seed\"},\n {\"box_2d\": [645, 386, 682, 409], \"label\": \"chicory seed\"},\n {\"box_2d\": [343, 694, 378, 725], \"label\": \"chicory seed\"},\n {\"box_2d\": [440, 297, 476, 319], \"label\": \"chicory seed\"},\n {\"box_2d\": [483, 749, 502, 786], \"label\": \"chicory seed\"},\n {\"box_2d\": [699, 438, 731, 466], \"label\": \"chicory seed\"},\n {\"box_2d\": [416, 639, 437, 681], \"label\": \"chicory seed\"},\n {\"box_2d\": [347, 535, 369, 577], \"label\": \"chicory seed\"},\n {\"box_2d\": [674, 408, 696, 449], \"label\": \"chicory seed\"},\n {\"box_2d\": [562, 281, 581, 319], \"label\": \"chicory seed\"},\n {\"box_2d\": [731, 326, 761, 361], \"label\": \"chicory seed\"},\n {\"box_2d\": [670, 211, 695, 250], \"label\": \"chicory seed\"},\n {\"box_2d\": [485, 278, 526, 307], \"label\": \"chicory seed\"},\n {\"box_2d\": [592, 694, 624, 725], \"label\": \"chicory seed\"},\n {\"box_2d\": [284, 707, 320, 734], \"label\": \"chicory seed\"},\n {\"box_2d\": [786, 333, 811, 376], \"label\": \"chicory seed\"},\n {\"box_2d\": [644, 685, 682, 713], \"label\": \"chicory seed\"},\n {\"box_2d\": [315, 338, 342, 379], \"label\": \"chicory seed\"},\n {\"box_2d\": [267, 661, 294, 699], \"label\": \"chicory seed\"},\n {\"box_2d\": [715, 351, 743, 386], \"label\": \"chicory seed\"},\n {\"box_2d\": [512, 224, 549, 256], \"label\": \"chicory seed\"},\n {\"box_2d\": [365, 720, 402, 749], \"label\": \"chicory seed\"},\n {\"box_2d\": [573, 576, 599, 610], \"label\": \"chicory seed\"},\n {\"box_2d\": [630, 365, 665, 386], \"label\": \"chicory seed\"},\n {\"box_2d\": [294, 694, 330, 721], \"label\": \"chicory seed\"},\n {\"box_2d\": [454, 531, 480, 574], \"label\": \"chicory seed\"},\n {\"box_2d\": [639, 187, 668, 224], \"label\": \"chicory seed\"},\n {\"box_2d\": [531, 238, 570, 267], \"label\": \"chicory seed\"},\n {\"box_2d\": [336, 713, 370, 744], \"label\": \"chicory seed\"},\n {\"box_2d\": [699, 320, 734, 349], \"label\": \"chicory seed\"},\n {\"box_2d\": [275, 646, 307, 681], \"label\": \"chicory seed\"},\n {\"box_2d\": [540, 517, 566, 557], \"label\": \"chicory seed\"},\n {\"box_2d\": [359, 165, 396, 190], \"label\": \"chicory seed\"},\n {\"box_2d\": [817, 531, 850, 555], \"label\": \"chicory seed\"},\n {\"box_2d\": [501, 749, 521, 789], \"label\": \"chicory seed\"},\n {\"box_2d\": [592, 650, 611, 691], \"label\": \"chicory seed\"},\n {\"box_2d\": [422, 286, 452, 326], \"label\": \"chicory seed\"},\n {\"box_2d\": [774, 480, 807, 511], \"label\": \"chicory seed\"},\n {\"box_2d\": [535, 211, 575, 236], \"label\": \"chicory seed\"},\n {\"box_2d\": [469, 369, 509, 398], \"label\": \"chicory seed\"},\n {\"box_2d\": [459, 694, 495, 713], \"label\": \"chicory seed\"},\n {\"box_2d\": [393, 705, 434, 728], \"label\": \"chicory seed\"},\n {\"box_2d\": [694, 211, 716, 250], \"label\": \"chicory seed\"},\n {\"box_2d\": [804, 481, 835, 511], \"label\": \"chicory seed\"},\n {\"box_2d\": [427, 472, 449, 511], \"label\": \"chicory seed\"},\n {\"box_2d\": [806, 361, 834, 401], \"label\": \"chicory seed\"},\n {\"box_2d\": [438, 361, 464, 401], \"label\": \"chicory seed\"},\n {\"box_2d\": [765, 699, 801, 731], \"label\": \"chicory seed\"},\n {\"box_2d\": [520, 741, 548, 777], \"label\": \"chicory seed\"},\n {\"box_2d\": [278, 749, 304, 785], \"label\": \"chicory seed\"},\n {\"box_2d\": [306, 750, 342, 770], \"label\": \"chicory seed\"},\n {\"box_2d\": [806, 398, 835, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [592, 600, 628, 623], \"label\": \"chicory seed\"},\n {\"box_2d\": [357, 468, 393, 498], \"label\": \"chicory seed\"},\n {\"box_2d\": [416, 398, 442, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [375, 600, 408, 634], \"label\": \"chicory seed\"},\n {\"box_2d\": [414, 434, 452, 458], \"label\": \"chicory seed\"},\n {\"box_2d\": [454, 229, 491, 256], \"label\": \"chicory seed\"},\n {\"box_2d\": [414, 577, 442, 610], \"label\": \"chicory seed\"},\n {\"box_2d\": [746, 365, 772, 403], \"label\": \"chicory seed\"},\n {\"box_2d\": [357, 637, 377, 674], \"label\": \"chicory seed\"},\n {\"box_2d\": [660, 750, 696, 774], \"label\": \"chicory seed\"},\n {\"box_2d\": [553, 615, 581, 650], \"label\": \"chicory seed\"},\n {\"box_2d\": [347, 763, 370, 805], \"label\": \"chicory seed\"},\n {\"box_2d\": [581, 297, 617, 322], \"label\": \"chicory seed\"},\n {\"box_2d\": [685, 369, 716, 405], \"label\": \"chicory seed\"},\n {\"box_2d\": [721, 585, 744, 623], \"label\": \"chicory seed\"},\n {\"box_2d\": [560, 544, 592, 574], \"label\": \"chicory seed\"},\n {\"box_2d\": [731, 469, 767, 502], \"label\": \"chicory seed\"},\n {\"box_2d\": [550, 590, 584, 623], \"label\": \"chicory seed\"},\n {\"box_2d\": [806, 547, 845, 574], \"label\": \"chicory seed\"},\n {\"box_2d\": [553, 725, 592, 755], \"label\": \"chicory seed\"},\n {\"box_2d\": [716, 300, 754, 324], \"label\": \"chicory seed\"},\n {\"box_2d\": [721, 741, 755, 770], \"label\": \"chicory seed\"},\n {\"box_2d\": [573, 365, 604, 401], \"label\": \"chicory seed\"},\n {\"box_2d\": [566, 401, 604, 429], \"label\": \"chicory seed\"},\n {\"box_2d\": [459, 600, 491, 634], \"label\": \"chicory seed\"},\n {\"box_2d\": [637, 232, 668, 267], \"label\": \"chicory seed\"},\n {\"box_2d\": [674, 456, 694, 498], \"label\": \"chicory seed\"},\n {\"box_2d\": [715, 385, 735, 425], \"label\": \"chicory seed\"},\n {\"box_2d\": [660, 517, 687, 557], \"label\": \"chicory seed\"},\n {\"box_2d\": [461, 720, 495, 750], \"label\": \"chicory seed\"},\n {\"box_2d\": [617, 218, 645, 259], \"label\": \"chicory seed\"},\n {\"box_2d\": [275, 319, 315, 342], \"label\": \"chicory seed\"},\n {\"box_2d\": [393, 691, 429, 710], \"label\": \"chicory seed\"},\n {\"box_2d\": [630, 338, 670, 365], \"label\": \"chicory seed\"},\n {\"box_2d\": [617, 600, 645, 639], \"label\": \"chicory seed\"},\n {\"box_2d\": [746, 342, 786, 365], \"label\": \"chicory seed\"},\n {\"box_2d\": [336, 580, 362, 618], \"label\": \"chicory seed\"},\n {\"box_2d\": [750, 491, 774, 529], \"label\": \"chicory seed\"},\n {\"box_2d\": [774, 442, 799, 480], \"label\": \"chicory seed\"},\n {\"box_2d\": [473, 408, 515, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [790, 640, 825, 674], \"label\": \"chicory seed\"},\n {\"box_2d\": [456, 250, 491, 281], \"label\": \"chicory seed\"},\n {\"box_2d\": [750, 524, 792, 550], \"label\": \"chicory seed\"},\n {\"box_2d\": [377, 336, 400, 376], \"label\": \"chicory seed\"},\n {\"box_2d\": [666, 585, 704, 615], \"label\": \"chicory seed\"},\n {\"box_2d\": [489, 592, 509, 634], \"label\": \"chicory seed\"},\n {\"box_2d\": [755, 290, 782, 331], \"label\": \"chicory seed\"},\n {\"box_2d\": [459, 297, 499, 319], \"label\": \"chicory seed\"},\n {\"box_2d\": [375, 220, 409, 256], \"label\": \"chicory seed\"},\n {\"box_2d\": [419, 165, 459, 196], \"label\": \"chicory seed\"},\n {\"box_2d\": [454, 381, 473, 423], \"label\": \"chicory seed\"},\n {\"box_2d\": [438, 547, 469, 585], \"label\": \"chicory seed\"},\n {\"box_2d\": [452, 502, 481, 535], \"label\": \"chicory seed\"},\n {\"box_2d\": [599, 728, 623, 770], \"label\": \"chicory seed\"},\n {\"box_2d\": [637, 524, 660, 567], \"label\": \"chicory seed\"},\n {\"box_2d\": [708, 519, 750, 544], \"label\": \"chicory seed\"},\n {\"box_2d\": [480, 524, 502, 567], \"label\": \"chicory seed\"},\n {\"box_2d\": [737, 434, 761, 474], \"label\": \"chicory seed\"},\n {\"box_2d\": [377, 376, 416, 398], \"label\": \"chicory seed\"},\n {\"box_2d\": [540, 360, 581, 385], \"label\": \"chicory seed\"},\n {\"box_2d\": [315, 657, 353, 686], \"label\": \"chicory seed\"},\n {\"box_2d\": [485, 181, 526, 205], \"label\": \"chicory seed\"},\n {\"box_2d\": [357, 592, 380, 631], \"label\": \"chicory seed\"},\n {\"box_2d\": [357, 259, 384, 297], \"label\": \"chicory seed\"},\n {\"box_2d\": [668, 686, 699, 725], \"label\": \"chicory seed\"},\n {\"box_2d\": [617, 286, 648, 314], \"label\": \"chicory seed\"},\n {\"box_2d\": [607, 342, 628, 386], \"label\": \"chicory seed\"},\n {\"box_2d\": [434, 623, 469, 657], \"label\": \"chicory seed\"},\n {\"box_2d\": [546, 154, 581, 190], \"label\": \"chicory seed\"},\n {\"box_2d\": [691, 717, 726, 750], \"label\": \"chicory seed\"},\n {\"box_2d\": [573, 234, 607, 276], \"label\": \"chicory seed\"},\n {\"box_2d\": [342, 429, 375, 463], \"label\": \"chicory seed\"},\n {\"box_2d\": [585, 412, 617, 449], \"label\": \"chicory seed\"},\n {\"box_2d\": [592, 322, 617, 365], \"label\": \"chicory seed\"},\n {\"box_2d\": [585, 469, 617, 507], \"label\": \"chicory seed\"},\n {\"box_2d\": [434, 211, 473, 234], \"label\": \"chicory seed\"},\n {\"box_2d\": [660, 250, 699, 281], \"label\": \"chicory seed\"},\n {\"box_2d\": [550, 336, 592, 365], \"label\": \"chicory seed\"},\n {\"box_2d\": [412, 531, 434, 574], \"label\": \"chicory seed\"},\n {\"box_2d\": [774, 396, 811, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [496, 207, 524, 249], \"label\": \"chicory seed\"},\n {\"box_2d\": [755, 567, 782, 605], \"label\": \"chicory seed\"},\n {\"box_2d\": [617, 557, 639, 598], \"label\": \"chicory seed\"},\n {\"box_2d\": [414, 331, 437, 370], \"label\": \"chicory seed\"},\n {\"box_2d\": [400, 254, 437, 286], \"label\": \"chicory seed\"},\n {\"box_2d\": [336, 463, 359, 502], \"label\": \"chicory seed\"},\n {\"box_2d\": [585, 224, 617, 259], \"label\": \"chicory seed\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 7212, "elapsed_seconds": 62.82302416698076, "metadata": {"match_method": "map", "num_predictions": 200, "num_ground_truth": 303, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.305053174495697, "attempts": 2, "retries": 1, "total_seconds": 153.9677, "transient_errors": ["RemoteProtocolError"]}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 166, "image": "9pro_tire_2024-10-17_2_png_jpg.rf.4f51ee46ba892a991a30327b934d13a9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [77, 198, 181, 396], \"label\": \"tire size text\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 47, "elapsed_seconds": 73.20845245802775, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5049504637718201, "attempts": 1, "retries": 0, "total_seconds": 73.7252}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 167, "image": "2024-12-05T02-00-56-789Z-1004_jpg.rf.16e81306ce0ce847c1fdd836e6752b92.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [243, 0, 658, 159], \"label\": \"velcro cable tie\"},\n {\"box_2d\": [628, 149, 673, 180], \"label\": \"screw\"},\n {\"box_2d\": [649, 524, 686, 563], \"label\": \"screw\"},\n {\"box_2d\": [430, 868, 502, 926], \"label\": \"screw\"}\n]\n```", "correct": false, "input_tokens": 1204, "output_tokens": 149, "elapsed_seconds": 11.48420216597151, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6666666269302368, "attempts": 1, "retries": 0, "total_seconds": 11.7907}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 168, "image": "45_png.rf.5c5cd31ecf12f414c9d6c446b6599fc0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [56, 238, 90, 299], \"label\": \"not gate symbol\"},\n {\"box_2d\": [101, 424, 152, 524], \"label\": \"and gate symbol\"},\n {\"box_2d\": [90, 789, 141, 886], \"label\": \"or gate symbol\"},\n {\"box_2d\": [298, 551, 359, 630], \"label\": \"and gate symbol\"},\n {\"box_2d\": [298, 667, 360, 745], \"label\": \"and gate symbol\"},\n {\"box_2d\": [368, 789, 419, 886], \"label\": \"or gate symbol\"},\n {\"box_2d\": [581, 574, 642, 652], \"label\": \"and gate symbol\"},\n {\"box_2d\": [581, 690, 642, 768], \"label\": \"and gate symbol\"},\n {\"box_2d\": [650, 811, 701, 909], \"label\": \"or gate symbol\"},\n {\"box_2d\": [870, 591, 932, 669], \"label\": \"and gate symbol\"},\n {\"box_2d\": [870, 707, 932, 785], \"label\": \"and gate symbol\"},\n {\"box_2d\": [939, 811, 991, 909], \"label\": \"or gate symbol\"}\n]\n```", "correct": true, "input_tokens": 1264, "output_tokens": 441, "elapsed_seconds": 5.83243283291813, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 5.8374}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 169, "image": "paper-parts_112786_53_jpg.rf.0483acf3782b23a87f49280c7a03b327.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [92, 175, 330, 667], \"label\": \"figure\"},\n {\"box_2d\": [372, 176, 424, 882], \"label\": \"figure caption\"},\n {\"box_2d\": [478, 176, 493, 207], \"label\": \"paragraph\"},\n {\"box_2d\": [523, 274, 550, 753], \"label\": \"equation\"},\n {\"box_2d\": [560, 274, 586, 712], \"label\": \"equation\"},\n {\"box_2d\": [596, 274, 623, 784], \"label\": \"equation\"},\n {\"box_2d\": [633, 274, 660, 735], \"label\": \"equation\"},\n {\"box_2d\": [669, 274, 696, 736], \"label\": \"equation\"},\n {\"box_2d\": [708, 274, 723, 529], \"label\": \"equation\"},\n {\"box_2d\": [755, 176, 869, 882], \"label\": \"paragraph\"},\n {\"box_2d\": [898, 519, 913, 539], \"label\": \"page number\"}\n]\n```", "correct": false, "input_tokens": 1248, "output_tokens": 387, "elapsed_seconds": 9.688283458934166, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6504949927330017, "attempts": 1, "retries": 0, "total_seconds": 9.7277}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 170, "image": "signatures_image_21_png_jpg.rf.af64d00b20a92b8a4d92e9aefc5cd1f8.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [72, 217, 176, 358], \"label\": \"signature\"},\n {\"box_2d\": [301, 678, 398, 868], \"label\": \"signature\"},\n {\"box_2d\": [654, 511, 756, 725], \"label\": \"signature\"},\n {\"box_2d\": [833, 419, 945, 643], \"label\": \"signature\"},\n {\"box_2d\": [829, 650, 926, 853], \"label\": \"signature\"}\n]\n```", "correct": true, "input_tokens": 1252, "output_tokens": 181, "elapsed_seconds": 11.994631082983688, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.800000011920929, "attempts": 1, "retries": 0, "total_seconds": 12.1228}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 171, "image": "1668146885__jpg.rf.3d8577f11d5831de64da2c2964b98050.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [59, 789, 114, 820], \"label\": \"two die\"},\n {\"box_2d\": [107, 749, 162, 781], \"label\": \"three die\"},\n {\"box_2d\": [131, 710, 185, 742], \"label\": \"six die\"},\n {\"box_2d\": [209, 882, 261, 916], \"label\": \"five die\"},\n {\"box_2d\": [194, 633, 252, 667], \"label\": \"six die\"},\n {\"box_2d\": [259, 632, 314, 664], \"label\": \"four die\"},\n {\"box_2d\": [291, 682, 348, 714], \"label\": \"two die\"},\n {\"box_2d\": [296, 787, 353, 821], \"label\": \"three die\"},\n {\"box_2d\": [304, 915, 360, 949], \"label\": \"three die\"},\n {\"box_2d\": [341, 777, 400, 811], \"label\": \"four die\"},\n {\"box_2d\": [375, 686, 431, 719], \"label\": \"three die\"},\n {\"box_2d\": [421, 660, 475, 691], \"label\": \"six die\"},\n {\"box_2d\": [474, 683, 531, 716], \"label\": \"three die\"},\n {\"box_2d\": [485, 714, 540, 746], \"label\": \"two die\"},\n {\"box_2d\": [540, 804, 586, 832], \"label\": \"six die\"},\n {\"box_2d\": [579, 827, 624, 855], \"label\": \"five die\"},\n {\"box_2d\": [610, 789, 656, 816], \"label\": \"six die\"},\n {\"box_2d\": [653, 710, 709, 743], \"label\": \"two die\"},\n {\"box_2d\": [678, 855, 728, 885], \"label\": \"six die\"},\n {\"box_2d\": [696, 583, 745, 612], \"label\": \"six die\"},\n {\"box_2d\": [448, 588, 495, 615], \"label\": \"three die\"},\n {\"box_2d\": [344, 544, 400, 575], \"label\": \"five die\"},\n {\"box_2d\": [303, 563, 350, 589], \"label\": \"six die\"},\n {\"box_2d\": [309, 597, 358, 623], \"label\": \"one die\"},\n {\"box_2d\": [506, 537, 565, 569], \"label\": \"five die\"},\n {\"box_2d\": [541, 559, 596, 590], \"label\": \"five die\"},\n {\"box_2d\": [556, 533, 608, 560], \"label\": \"two die\"},\n {\"box_2d\": [615, 553, 668, 584], \"label\": \"two die\"},\n {\"box_2d\": [623, 511, 678, 542], \"label\": \"four die\"},\n {\"box_2d\": [572, 496, 628, 527], \"label\": \"six die\"},\n {\"box_2d\": [508, 468, 563, 499], \"label\": \"five die\"},\n {\"box_2d\": [596, 449, 643, 476], \"label\": \"two die\"},\n {\"box_2d\": [24, 354, 84, 386], \"label\": \"two die\"},\n {\"box_2d\": [49, 205, 100, 234], \"label\": \"four die\"},\n {\"box_2d\": [171, 226, 227, 257], \"label\": \"two die\"},\n {\"box_2d\": [141, 142, 193, 171], \"label\": \"two die\"},\n {\"box_2d\": [327, 213, 385, 246], \"label\": \"five die\"},\n {\"box_2d\": [376, 201, 434, 234], \"label\": \"six die\"},\n {\"box_2d\": [391, 138, 450, 171], \"label\": \"three die\"},\n {\"box_2d\": [441, 216, 497, 248], \"label\": \"one die\"},\n {\"box_2d\": [380, 276, 438, 309], \"label\": \"four die\"},\n {\"box_2d\": [345, 318, 400, 349], \"label\": \"five die\"},\n {\"box_2d\": [519, 273, 576, 305], \"label\": \"two die\"},\n {\"box_2d\": [516, 217, 571, 249], \"label\": \"three die\"},\n {\"box_2d\": [626, 165, 676, 194], \"label\": \"two die\"},\n {\"box_2d\": [691, 225, 745, 258], \"label\": \"two die\"},\n {\"box_2d\": [729, 259, 784, 291], \"label\": \"four die\"}\n]\n```", "correct": true, "input_tokens": 1252, "output_tokens": 1653, "elapsed_seconds": 16.150115541997366, "metadata": {"match_method": "map", "num_predictions": 47, "num_ground_truth": 48, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9087014198303223, "attempts": 1, "retries": 0, "total_seconds": 16.207}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 172, "image": "IMG_20220316_171754_jpg.rf.02842914dec30f998cea03868026b96a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [86, 192, 405, 485], \"label\": \"eight of clubs\"},\n {\"box_2d\": [283, 274, 650, 538], \"label\": \"seven of clubs\"},\n {\"box_2d\": [291, 419, 673, 738], \"label\": \"five of clubs\"},\n {\"box_2d\": [461, 517, 941, 922], \"label\": \"six of clubs\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 155, "elapsed_seconds": 11.050986374961212, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 11.0913}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 173, "image": "39_jpg.rf.edb5339d00a37b75d6cf16c1f9a301ff.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [174, 162, 211, 205], \"label\": \"resistor symbol\"},\n {\"box_2d\": [151, 353, 198, 405], \"label\": \"resistor symbol\"},\n {\"box_2d\": [354, 271, 449, 286], \"label\": \"resistor symbol\"},\n {\"box_2d\": [468, 61, 634, 125], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [774, 329, 834, 398], \"label\": \"resistor symbol\"},\n {\"box_2d\": [352, 480, 448, 498], \"label\": \"resistor symbol\"},\n {\"box_2d\": [319, 675, 420, 690], \"label\": \"resistor symbol\"},\n {\"box_2d\": [155, 769, 193, 811], \"label\": \"resistor symbol\"},\n {\"box_2d\": [441, 855, 543, 874], \"label\": \"resistor symbol\"},\n {\"box_2d\": [806, 273, 895, 298], \"label\": \"ground symbol\"}\n]\n```", "correct": true, "input_tokens": 1216, "output_tokens": 371, "elapsed_seconds": 8.136982916039415, "metadata": {"match_method": "map", "num_predictions": 10, "num_ground_truth": 10, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 8.2505}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 174, "image": "99FB9DDE-58F9-4BBA-8CC2-48146BC0EBC5_jpg.rf.1cef29e3b05e7507a4b618bd8b857503.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [191, 249, 252, 309], \"label\": \"pill\"},\n {\"box_2d\": [182, 444, 245, 502], \"label\": \"pill\"},\n {\"box_2d\": [278, 450, 338, 509], \"label\": \"pill\"},\n {\"box_2d\": [269, 327, 331, 386], \"label\": \"pill\"},\n {\"box_2d\": [294, 202, 355, 265], \"label\": \"pill\"},\n {\"box_2d\": [354, 180, 414, 243], \"label\": \"pill\"},\n {\"box_2d\": [417, 134, 476, 198], \"label\": \"pill\"},\n {\"box_2d\": [419, 244, 479, 306], \"label\": \"pill\"},\n {\"box_2d\": [336, 283, 396, 344], \"label\": \"pill\"},\n {\"box_2d\": [387, 309, 445, 370], \"label\": \"pill\"},\n {\"box_2d\": [445, 359, 506, 419], \"label\": \"pill\"},\n {\"box_2d\": [472, 304, 533, 364], \"label\": \"pill\"},\n {\"box_2d\": [513, 345, 574, 405], \"label\": \"pill\"},\n {\"box_2d\": [602, 282, 665, 345], \"label\": \"pill\"},\n {\"box_2d\": [621, 199, 683, 263], \"label\": \"pill\"},\n {\"box_2d\": [592, 365, 654, 426], \"label\": \"pill\"},\n {\"box_2d\": [504, 414, 565, 473], \"label\": \"pill\"},\n {\"box_2d\": [445, 439, 505, 499], \"label\": \"pill\"},\n {\"box_2d\": [377, 390, 436, 449], \"label\": \"pill\"},\n {\"box_2d\": [319, 408, 377, 467], \"label\": \"pill\"},\n {\"box_2d\": [334, 469, 393, 528], \"label\": \"pill\"},\n {\"box_2d\": [399, 477, 459, 536], \"label\": \"pill\"},\n {\"box_2d\": [387, 545, 447, 604], \"label\": \"pill\"},\n {\"box_2d\": [450, 532, 509, 591], \"label\": \"pill\"},\n {\"box_2d\": [430, 613, 490, 672], \"label\": \"pill\"},\n {\"box_2d\": [404, 668, 464, 729], \"label\": \"pill\"},\n {\"box_2d\": [506, 561, 569, 621], \"label\": \"pill\"},\n {\"box_2d\": [489, 485, 550, 545], \"label\": \"pill\"},\n {\"box_2d\": [551, 466, 612, 526], \"label\": \"pill\"},\n {\"box_2d\": [562, 530, 624, 591], \"label\": \"pill\"},\n {\"box_2d\": [612, 449, 674, 509], \"label\": \"pill\"},\n {\"box_2d\": [635, 539, 699, 600], \"label\": \"pill\"},\n {\"box_2d\": [685, 761, 750, 829], \"label\": \"pill\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 1134, "elapsed_seconds": 56.13510004198179, "metadata": {"match_method": "map", "num_predictions": 33, "num_ground_truth": 33, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 56.6282}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 175, "image": "8a_tire_2024-10-17_62_png_jpg.rf.da90fbf7f0527f341a28f165c3e83dac.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [146, 344, 189, 439], \"label\": \"tire size text\"},\n {\"box_2d\": [463, 62, 654, 96], \"label\": \"tire size text\"},\n {\"box_2d\": [461, 915, 648, 945], \"label\": \"tire size text\"}\n]\n```", "correct": false, "input_tokens": 1226, "output_tokens": 118, "elapsed_seconds": 40.479029916925356, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.4422442317008972, "attempts": 1, "retries": 0, "total_seconds": 41.0306}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 176, "image": "frame_0002_03_jpg.rf.dda0be95dbf94773efee5983feb50582.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [742, 461, 804, 493], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [747, 535, 808, 567], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [468, 330, 523, 359], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [482, 474, 543, 505], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [592, 327, 650, 356], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [611, 543, 677, 574], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [731, 389, 795, 420], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [604, 398, 667, 428], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [609, 469, 672, 500], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [488, 545, 546, 575], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [715, 320, 774, 349], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [477, 399, 534, 429], \"label\": \"soda bottle cap\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 444, "elapsed_seconds": 76.20666679204442, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 76.8209}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 177, "image": "f77_jpg.rf.82279850cbac861dc93376eb2c7be55d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 745, 725, 1000], \"label\": \"wildfire\"},\n {\"box_2d\": [468, 745, 725, 868], \"label\": \"wildfire\"},\n {\"box_2d\": [0, 56, 444, 240], \"label\": \"wildfire\"},\n {\"box_2d\": [306, 134, 444, 229], \"label\": \"wildfire\"},\n {\"box_2d\": [155, 297, 196, 315], \"label\": \"wildfire\"},\n {\"box_2d\": [491, 643, 523, 661], \"label\": \"wildfire\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 218, "elapsed_seconds": 37.16491937497631, "metadata": {"match_method": "map", "num_predictions": 6, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.301980197429657, "attempts": 1, "retries": 0, "total_seconds": 37.2915}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 178, "image": "1219_48_jpg.rf.d6aecd0b221112666e45beae667e3572.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 8, 122, 130], \"label\": \"white king\"},\n {\"box_2d\": [5, 386, 126, 472], \"label\": \"white queen\"},\n {\"box_2d\": [17, 891, 117, 995], \"label\": \"white bishop\"},\n {\"box_2d\": [143, 387, 236, 475], \"label\": \"white bishop\"},\n {\"box_2d\": [279, 648, 350, 719], \"label\": \"white pawn\"},\n {\"box_2d\": [397, 276, 487, 366], \"label\": \"black king\"},\n {\"box_2d\": [398, 520, 479, 599], \"label\": \"white rook\"},\n {\"box_2d\": [398, 768, 482, 879], \"label\": \"black queen\"},\n {\"box_2d\": [533, 146, 613, 231], \"label\": \"black rook\"},\n {\"box_2d\": [513, 272, 595, 355], \"label\": \"white knight\"},\n {\"box_2d\": [522, 638, 601, 735], \"label\": \"black knight\"},\n {\"box_2d\": [498, 770, 576, 862], \"label\": \"black rook\"},\n {\"box_2d\": [637, 8, 715, 117], \"label\": \"black knight\"},\n {\"box_2d\": [647, 528, 728, 621], \"label\": \"white knight\"},\n {\"box_2d\": [666, 753, 738, 825], \"label\": \"black pawn\"},\n {\"box_2d\": [748, 254, 837, 342], \"label\": \"black bishop\"},\n {\"box_2d\": [869, 278, 983, 367], \"label\": \"black queen\"}\n]\n```", "correct": true, "input_tokens": 1259, "output_tokens": 598, "elapsed_seconds": 67.62753766705282, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 17, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 67.9038}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 179, "image": "f27_jpg.rf.b153b2c59a95b68f3f9edb924d42cee4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [54, 240, 444, 392], \"label\": \"wildfire\"},\n {\"box_2d\": [173, 599, 443, 734], \"label\": \"wildfire\"},\n {\"box_2d\": [652, 678, 745, 737], \"label\": \"wildfire\"},\n {\"box_2d\": [612, 181, 938, 392], \"label\": \"wildfire\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 151, "elapsed_seconds": 15.303611916024238, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 15.4307}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 180, "image": "img_461922717831528641_png.rf.c1eccbe6f38478b43fbba2e4cba33ac0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [58, 181, 155, 326], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [153, 171, 259, 319], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [29, 324, 121, 456], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [121, 312, 220, 455], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [68, 444, 166, 581], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [36, 577, 134, 709], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [79, 695, 178, 839], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [171, 699, 276, 853], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [128, 576, 228, 720], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [166, 443, 265, 584], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [219, 306, 324, 452], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [254, 159, 367, 313], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [360, 145, 480, 305], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [321, 297, 434, 450], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [265, 441, 371, 588], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [224, 575, 328, 722], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [269, 704, 379, 862], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [374, 710, 489, 875], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [326, 578, 439, 731], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [368, 438, 482, 591], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [433, 292, 553, 448], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [476, 130, 599, 299], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [598, 113, 724, 290], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [552, 281, 675, 445], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [480, 434, 599, 593], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [434, 578, 553, 736], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [483, 715, 603, 888], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [602, 725, 725, 906], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [551, 581, 672, 745], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [599, 431, 722, 597], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [676, 272, 801, 440], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [725, 92, 864, 275], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [860, 77, 1000, 267], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [804, 260, 956, 435], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [855, 421, 1000, 599], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [723, 428, 855, 599], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [672, 576, 800, 752], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [802, 579, 952, 762], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [725, 731, 855, 921], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [853, 744, 1000, 938], \"label\": \"empty portable gas cylinder\"}\n]\n```", "correct": false, "input_tokens": 1208, "output_tokens": 1488, "elapsed_seconds": 37.004189583007246, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 40, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.41462114453315735, "attempts": 1, "retries": 0, "total_seconds": 37.1318}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 181, "image": "20230113_134921_jpg.rf.98498c853848c0b93af6274d6758c4d5.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [520, 809, 536, 876], \"label\": \"crack\"}\n]\n```", "correct": false, "input_tokens": 1225, "output_tokens": 46, "elapsed_seconds": 4.182789625017904, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 4.2019}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 182, "image": "IMG_0618_jpeg.rf.efa7b9f1261718cff400e2cf104b3017.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [276, 461, 333, 526], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [344, 578, 417, 624], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [357, 396, 429, 458], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [375, 240, 441, 308], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [436, 521, 516, 583], \"label\": \"caramel corn jelly bean\"},\n {\"box_2d\": [452, 694, 521, 772], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [487, 346, 573, 408], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [499, 206, 588, 255], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [613, 244, 681, 327], \"label\": \"peach jelly bean\"},\n {\"box_2d\": [616, 403, 712, 474], \"label\": \"peach jelly bean\"},\n {\"box_2d\": [607, 627, 711, 682], \"label\": \"top banana jelly bean\"}\n]\n```", "correct": true, "input_tokens": 1230, "output_tokens": 428, "elapsed_seconds": 21.164793500094675, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 21.2123}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 183, "image": "1668146875__jpg.rf.3051c36c0a756d3687be5c2fb0ad5141.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [572, 169, 622, 198], \"label\": \"five die\"},\n {\"box_2d\": [438, 217, 494, 249], \"label\": \"three die\"},\n {\"box_2d\": [390, 311, 437, 340], \"label\": \"five die\"},\n {\"box_2d\": [412, 341, 469, 372], \"label\": \"two die\"},\n {\"box_2d\": [341, 300, 388, 329], \"label\": \"six die\"},\n {\"box_2d\": [303, 325, 355, 351], \"label\": \"four die\"},\n {\"box_2d\": [270, 301, 326, 333], \"label\": \"six die\"},\n {\"box_2d\": [230, 273, 286, 303], \"label\": \"six die\"},\n {\"box_2d\": [217, 297, 273, 329], \"label\": \"five die\"},\n {\"box_2d\": [200, 347, 258, 381], \"label\": \"four die\"},\n {\"box_2d\": [298, 349, 350, 376], \"label\": \"six die\"},\n {\"box_2d\": [293, 372, 341, 400], \"label\": \"two die\"},\n {\"box_2d\": [280, 396, 331, 424], \"label\": \"two die\"},\n {\"box_2d\": [341, 366, 390, 395], \"label\": \"four die\"},\n {\"box_2d\": [350, 336, 395, 364], \"label\": \"five die\"},\n {\"box_2d\": [182, 389, 238, 420], \"label\": \"two die\"},\n {\"box_2d\": [99, 361, 161, 396], \"label\": \"six die\"},\n {\"box_2d\": [112, 405, 169, 437], \"label\": \"two die\"},\n {\"box_2d\": [180, 434, 242, 468], \"label\": \"six die\"},\n {\"box_2d\": [513, 390, 571, 422], \"label\": \"five die\"},\n {\"box_2d\": [588, 381, 643, 412], \"label\": \"two die\"},\n {\"box_2d\": [530, 450, 588, 482], \"label\": \"three die\"},\n {\"box_2d\": [292, 517, 350, 550], \"label\": \"six die\"},\n {\"box_2d\": [361, 540, 417, 572], \"label\": \"two die\"},\n {\"box_2d\": [412, 492, 463, 521], \"label\": \"five die\"},\n {\"box_2d\": [769, 325, 819, 353], \"label\": \"six die\"},\n {\"box_2d\": [817, 314, 868, 342], \"label\": \"five die\"},\n {\"box_2d\": [850, 375, 899, 401], \"label\": \"six die\"},\n {\"box_2d\": [820, 427, 878, 458], \"label\": \"five die\"},\n {\"box_2d\": [757, 441, 804, 467], \"label\": \"five die\"},\n {\"box_2d\": [708, 442, 756, 470], \"label\": \"four die\"},\n {\"box_2d\": [650, 472, 703, 502], \"label\": \"six die\"},\n {\"box_2d\": [685, 495, 740, 527], \"label\": \"six die\"},\n {\"box_2d\": [641, 515, 694, 545], \"label\": \"two die\"},\n {\"box_2d\": [589, 531, 634, 558], \"label\": \"five die\"},\n {\"box_2d\": [399, 649, 444, 675], \"label\": \"four die\"},\n {\"box_2d\": [341, 684, 397, 715], \"label\": \"three die\"},\n {\"box_2d\": [256, 715, 314, 748], \"label\": \"three die\"},\n {\"box_2d\": [200, 765, 250, 793], \"label\": \"one die\"},\n {\"box_2d\": [147, 781, 198, 809], \"label\": \"three die\"},\n {\"box_2d\": [32, 674, 92, 707], \"label\": \"four die\"},\n {\"box_2d\": [363, 773, 412, 802], \"label\": \"three die\"},\n {\"box_2d\": [394, 748, 450, 781], \"label\": \"two die\"},\n {\"box_2d\": [450, 758, 495, 785], \"label\": \"four die\"},\n {\"box_2d\": [498, 758, 544, 786], \"label\": \"four die\"},\n {\"box_2d\": [440, 809, 490, 838], \"label\": \"six die\"},\n {\"box_2d\": [666, 793, 722, 826], \"label\": \"three die\"}\n]\n```", "correct": false, "input_tokens": 1252, "output_tokens": 1654, "elapsed_seconds": 31.504894291982055, "metadata": {"match_method": "map", "num_predictions": 47, "num_ground_truth": 48, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5514419078826904, "attempts": 1, "retries": 0, "total_seconds": 31.5629}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 184, "image": "C440AC87-A6AC-47BA-9CB8-2E8D0B276501_jpg.rf.8b0f079f1f23f56b5c9934be046152df.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [793, 60, 884, 152], \"label\": \"pill\"},\n {\"box_2d\": [701, 161, 790, 248], \"label\": \"pill\"},\n {\"box_2d\": [780, 221, 871, 310], \"label\": \"pill\"},\n {\"box_2d\": [689, 246, 777, 331], \"label\": \"pill\"},\n {\"box_2d\": [719, 321, 809, 408], \"label\": \"pill\"},\n {\"box_2d\": [542, 283, 626, 366], \"label\": \"pill\"},\n {\"box_2d\": [573, 355, 657, 437], \"label\": \"pill\"},\n {\"box_2d\": [465, 163, 546, 246], \"label\": \"pill\"},\n {\"box_2d\": [481, 240, 562, 321], \"label\": \"pill\"},\n {\"box_2d\": [474, 321, 554, 401], \"label\": \"pill\"},\n {\"box_2d\": [415, 277, 493, 356], \"label\": \"pill\"},\n {\"box_2d\": [326, 124, 404, 205], \"label\": \"pill\"},\n {\"box_2d\": [229, 167, 305, 245], \"label\": \"pill\"},\n {\"box_2d\": [163, 250, 238, 324], \"label\": \"pill\"},\n {\"box_2d\": [161, 369, 235, 443], \"label\": \"pill\"},\n {\"box_2d\": [243, 306, 319, 382], \"label\": \"pill\"},\n {\"box_2d\": [306, 273, 383, 352], \"label\": \"pill\"},\n {\"box_2d\": [357, 322, 434, 398], \"label\": \"pill\"},\n {\"box_2d\": [413, 365, 491, 442], \"label\": \"pill\"},\n {\"box_2d\": [353, 406, 430, 482], \"label\": \"pill\"},\n {\"box_2d\": [297, 456, 373, 531], \"label\": \"pill\"},\n {\"box_2d\": [438, 434, 517, 513], \"label\": \"pill\"},\n {\"box_2d\": [602, 438, 686, 520], \"label\": \"pill\"},\n {\"box_2d\": [587, 521, 670, 603], \"label\": \"pill\"},\n {\"box_2d\": [508, 515, 588, 594], \"label\": \"pill\"},\n {\"box_2d\": [430, 523, 509, 601], \"label\": \"pill\"},\n {\"box_2d\": [361, 545, 437, 622], \"label\": \"pill\"},\n {\"box_2d\": [290, 548, 364, 624], \"label\": \"pill\"},\n {\"box_2d\": [315, 616, 392, 692], \"label\": \"pill\"},\n {\"box_2d\": [306, 690, 383, 767], \"label\": \"pill\"},\n {\"box_2d\": [375, 704, 452, 785], \"label\": \"pill\"},\n {\"box_2d\": [429, 648, 509, 729], \"label\": \"pill\"},\n {\"box_2d\": [475, 583, 557, 663], \"label\": \"pill\"},\n {\"box_2d\": [581, 677, 665, 762], \"label\": \"pill\"},\n {\"box_2d\": [694, 783, 780, 871], \"label\": \"pill\"},\n {\"box_2d\": [699, 703, 786, 788], \"label\": \"pill\"},\n {\"box_2d\": [704, 620, 793, 706], \"label\": \"pill\"},\n {\"box_2d\": [771, 571, 862, 659], \"label\": \"pill\"},\n {\"box_2d\": [723, 496, 811, 581], \"label\": \"pill\"},\n {\"box_2d\": [811, 479, 902, 567], \"label\": \"pill\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 1371, "elapsed_seconds": 36.02010220789816, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 40, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 36.629}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 185, "image": "preannot3_62_png.rf.0c5f5d9500c1d4c579c64d746f68b358.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [757, 240, 773, 270], \"label\": \"tire spike normal\"},\n {\"box_2d\": [707, 314, 725, 343], \"label\": \"tire spike normal\"},\n {\"box_2d\": [617, 267, 636, 296], \"label\": \"tire spike normal\"},\n {\"box_2d\": [560, 325, 578, 355], \"label\": \"tire spike normal\"},\n {\"box_2d\": [444, 219, 463, 248], \"label\": \"tire spike normal\"},\n {\"box_2d\": [365, 200, 384, 229], \"label\": \"tire spike absent\"},\n {\"box_2d\": [293, 241, 311, 271], \"label\": \"tire spike normal\"},\n {\"box_2d\": [235, 302, 253, 331], \"label\": \"tire spike normal\"},\n {\"box_2d\": [150, 236, 167, 264], \"label\": \"tire spike normal\"},\n {\"box_2d\": [91, 297, 105, 322], \"label\": \"tire spike normal\"},\n {\"box_2d\": [19, 329, 32, 354], \"label\": \"tire spike normal\"},\n {\"box_2d\": [28, 637, 42, 667], \"label\": \"tire spike normal\"},\n {\"box_2d\": [70, 619, 86, 646], \"label\": \"tire spike normal\"},\n {\"box_2d\": [108, 695, 125, 723], \"label\": \"tire spike normal\"},\n {\"box_2d\": [181, 651, 198, 680], \"label\": \"tire spike normal\"},\n {\"box_2d\": [252, 697, 270, 728], \"label\": \"tire spike normal\"},\n {\"box_2d\": [320, 744, 339, 774], \"label\": \"tire spike absent\"},\n {\"box_2d\": [395, 769, 413, 797], \"label\": \"tire spike normal\"},\n {\"box_2d\": [506, 651, 524, 682], \"label\": \"tire spike normal\"},\n {\"box_2d\": [572, 694, 591, 723], \"label\": \"tire spike normal\"},\n {\"box_2d\": [678, 634, 695, 662], \"label\": \"tire spike normal\"},\n {\"box_2d\": [709, 752, 726, 780], \"label\": \"tire spike normal\"},\n {\"box_2d\": [802, 670, 818, 697], \"label\": \"tire spike normal\"},\n {\"box_2d\": [855, 719, 871, 746], \"label\": \"tire spike normal\"},\n {\"box_2d\": [899, 289, 914, 315], \"label\": \"tire spike normal\"},\n {\"box_2d\": [932, 639, 944, 664], \"label\": \"tire spike normal\"},\n {\"box_2d\": [942, 732, 954, 756], \"label\": \"tire spike normal\"}\n]\n```", "correct": false, "input_tokens": 1206, "output_tokens": 977, "elapsed_seconds": 12.030608832952566, "metadata": {"match_method": "map", "num_predictions": 27, "num_ground_truth": 32, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.698019802570343, "attempts": 1, "retries": 0, "total_seconds": 12.1078}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 186, "image": "floorplan-windows-doors_10035_png.rf.4ea81a436186bba253c43df724f8ab26.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [779, 489, 899, 535], \"label\": \"door\"},\n {\"box_2d\": [751, 594, 780, 675], \"label\": \"window\"},\n {\"box_2d\": [751, 773, 780, 836], \"label\": \"window\"},\n {\"box_2d\": [751, 333, 780, 408], \"label\": \"window\"},\n {\"box_2d\": [219, 184, 304, 238], \"label\": \"door\"},\n {\"box_2d\": [7, 134, 36, 191], \"label\": \"window\"},\n {\"box_2d\": [7, 347, 36, 424], \"label\": \"window\"},\n {\"box_2d\": [7, 503, 36, 581], \"label\": \"window\"},\n {\"box_2d\": [7, 588, 36, 667], \"label\": \"window\"},\n {\"box_2d\": [7, 773, 36, 851], \"label\": \"window\"},\n {\"box_2d\": [287, 311, 349, 345], \"label\": \"door\"},\n {\"box_2d\": [266, 396, 336, 444], \"label\": \"door\"},\n {\"box_2d\": [460, 311, 519, 345], \"label\": \"door\"},\n {\"box_2d\": [471, 396, 542, 445], \"label\": \"door\"},\n {\"box_2d\": [384, 442, 452, 490], \"label\": \"door\"},\n {\"box_2d\": [218, 678, 285, 725], \"label\": \"door\"},\n {\"box_2d\": [562, 677, 630, 725], \"label\": \"door\"},\n {\"box_2d\": [393, 769, 463, 816], \"label\": \"door\"},\n {\"box_2d\": [540, 765, 614, 811], \"label\": \"door\"},\n {\"box_2d\": [597, 828, 661, 868], \"label\": \"door\"},\n {\"box_2d\": [618, 886, 690, 935], \"label\": \"door\"},\n {\"box_2d\": [319, 915, 415, 935], \"label\": \"window\"}\n]\n```", "correct": true, "input_tokens": 1245, "output_tokens": 745, "elapsed_seconds": 9.529739042045549, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8857260942459106, "attempts": 1, "retries": 0, "total_seconds": 9.5813}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 187, "image": "IMG_6647_jpeg_jpg.rf.c9080c42346e2e5efd9c896163bdce7e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [568, 259, 653, 463], \"label\": \"white poker chip\"},\n {\"box_2d\": [562, 265, 628, 464], \"label\": \"white poker chip\"},\n {\"box_2d\": [546, 265, 610, 467], \"label\": \"white poker chip\"},\n {\"box_2d\": [479, 265, 594, 470], \"label\": \"white poker chip\"},\n {\"box_2d\": [579, 472, 668, 678], \"label\": \"white poker chip\"},\n {\"box_2d\": [553, 470, 652, 678], \"label\": \"white poker chip\"},\n {\"box_2d\": [540, 476, 636, 682], \"label\": \"white poker chip\"},\n {\"box_2d\": [529, 479, 619, 695], \"label\": \"white poker chip\"},\n {\"box_2d\": [504, 483, 603, 697], \"label\": \"white poker chip\"},\n {\"box_2d\": [495, 488, 588, 701], \"label\": \"white poker chip\"},\n {\"box_2d\": [468, 486, 569, 712], \"label\": \"white poker chip\"},\n {\"box_2d\": [450, 492, 549, 714], \"label\": \"white poker chip\"},\n {\"box_2d\": [447, 502, 529, 720], \"label\": \"white poker chip\"},\n {\"box_2d\": [416, 499, 509, 723], \"label\": \"white poker chip\"},\n {\"box_2d\": [399, 499, 487, 725], \"label\": \"white poker chip\"},\n {\"box_2d\": [377, 497, 467, 724], \"label\": \"white poker chip\"},\n {\"box_2d\": [373, 513, 446, 742], \"label\": \"white poker chip\"},\n {\"box_2d\": [356, 516, 424, 748], \"label\": \"white poker chip\"},\n {\"box_2d\": [332, 513, 403, 747], \"label\": \"white poker chip\"},\n {\"box_2d\": [315, 516, 381, 756], \"label\": \"white poker chip\"},\n {\"box_2d\": [301, 525, 359, 766], \"label\": \"white poker chip\"},\n {\"box_2d\": [274, 515, 333, 758], \"label\": \"white poker chip\"},\n {\"box_2d\": [254, 512, 307, 750], \"label\": \"white poker chip\"},\n {\"box_2d\": [220, 506, 282, 748], \"label\": \"white poker chip\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 876, "elapsed_seconds": 13.9479612079449, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 24, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9455445408821106, "attempts": 1, "retries": 0, "total_seconds": 13.9728}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 188, "image": "IMG_20220316_141641_jpg.rf.2b5b442678a6dd37dce39460868771a9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [548, 344, 960, 695], \"label\": \"king of spades\"},\n {\"box_2d\": [447, 29, 882, 398], \"label\": \"nine of spades\"},\n {\"box_2d\": [191, 97, 581, 424], \"label\": \"jack of spades\"},\n {\"box_2d\": [141, 333, 529, 657], \"label\": \"ten of spades\"},\n {\"box_2d\": [145, 563, 530, 868], \"label\": \"queen of spades\"}\n]\n```", "correct": true, "input_tokens": 1218, "output_tokens": 190, "elapsed_seconds": 4.006026249960996, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 4.0383}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 189, "image": "img_460975841708081304_png.rf.71eaf0b919ddab2a648aa76c72cc4a00.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [160, 147, 307, 250], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [178, 253, 326, 350], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [190, 353, 309, 444], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [202, 446, 326, 537], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [217, 538, 336, 629], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [231, 625, 349, 718], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [242, 712, 360, 804], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [244, 118, 419, 237], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [264, 238, 439, 344], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [278, 346, 405, 445], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [288, 449, 415, 545], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [299, 544, 450, 643], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [310, 639, 454, 740], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [322, 732, 456, 834], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [347, 89, 540, 217], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [365, 218, 558, 336], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [377, 339, 517, 445], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [387, 449, 555, 555], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [397, 554, 570, 660], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [410, 656, 559, 767], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [420, 756, 560, 868], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [468, 46, 682, 194], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [485, 192, 691, 323], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [497, 326, 672, 445], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [504, 448, 695, 565], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [509, 561, 693, 684], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [522, 674, 689, 797], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [528, 782, 692, 909], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [620, 0, 864, 173], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [637, 165, 866, 312], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [641, 312, 855, 445], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [644, 448, 861, 578], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [648, 574, 853, 710], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [659, 696, 859, 837], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [663, 818, 845, 956], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [817, 0, 1000, 134], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [823, 124, 1000, 297], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [820, 297, 1000, 445], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [822, 448, 1000, 594], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [820, 591, 1000, 740], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [826, 728, 1000, 880], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [828, 853, 1000, 1000], \"label\": \"full portable gas cylinder\"}\n]\n```", "correct": true, "input_tokens": 1203, "output_tokens": 1568, "elapsed_seconds": 16.401058958028443, "metadata": {"match_method": "map", "num_predictions": 42, "num_ground_truth": 42, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 16.5165}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 190, "image": "0000242_03668_d_0000012_jpg.rf.06096e6f084464419e172f0d35ca4d48.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [777, 157, 964, 227], \"label\": \"car\"},\n {\"box_2d\": [603, 622, 1000, 770], \"label\": \"bus\"},\n {\"box_2d\": [453, 320, 550, 359], \"label\": \"car\"},\n {\"box_2d\": [446, 488, 533, 521], \"label\": \"car\"},\n {\"box_2d\": [557, 691, 631, 740], \"label\": \"car\"},\n {\"box_2d\": [309, 241, 368, 302], \"label\": \"car\"},\n {\"box_2d\": [353, 111, 405, 185], \"label\": \"car\"},\n {\"box_2d\": [274, 59, 335, 103], \"label\": \"van\"},\n {\"box_2d\": [224, 306, 287, 340], \"label\": \"car\"},\n {\"box_2d\": [248, 510, 303, 538], \"label\": \"car\"},\n {\"box_2d\": [309, 715, 357, 779], \"label\": \"car\"},\n {\"box_2d\": [374, 864, 429, 904], \"label\": \"car\"},\n {\"box_2d\": [135, 543, 177, 563], \"label\": \"car\"},\n {\"box_2d\": [32, 481, 64, 497], \"label\": \"car\"},\n {\"box_2d\": [393, 41, 437, 94], \"label\": \"tricycle\"},\n {\"box_2d\": [416, 176, 453, 216], \"label\": \"tricycle\"},\n {\"box_2d\": [398, 105, 431, 134], \"label\": \"motorcycle\"},\n {\"box_2d\": [275, 863, 311, 875], \"label\": \"person\"}\n]\n```", "correct": false, "input_tokens": 1253, "output_tokens": 622, "elapsed_seconds": 8.561614959035069, "metadata": {"match_method": "map", "num_predictions": 18, "num_ground_truth": 41, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.39530616998672485, "attempts": 1, "retries": 0, "total_seconds": 8.5957}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 191, "image": "DJI_20230529111835_0160_T_JPG_jpg.rf.cb5b9a9d87fdc7c9ff407eb5530abb88.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [92, 608, 191, 653], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [95, 528, 195, 572], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [98, 488, 195, 531], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [100, 447, 197, 489], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [447, 509, 545, 550], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [361, 383, 456, 427], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [445, 588, 542, 631], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [423, 961, 522, 1000], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [31, 77, 125, 117], \"label\": \"solar panel hot spot\"}\n]\n```", "correct": false, "input_tokens": 1228, "output_tokens": 341, "elapsed_seconds": 9.518484832951799, "metadata": {"match_method": "map", "num_predictions": 9, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 9.5412}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 192, "image": "oil-tank-detection_oiltank_72_jpg.rf.bfd5af54297ea9f409419db50cd04705.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [562, 41, 667, 134], \"label\": \"oil tank\"},\n {\"box_2d\": [472, 179, 577, 271], \"label\": \"oil tank\"},\n {\"box_2d\": [585, 229, 691, 323], \"label\": \"oil tank\"},\n {\"box_2d\": [676, 86, 789, 184], \"label\": \"oil tank\"},\n {\"box_2d\": [797, 135, 916, 234], \"label\": \"oil tank\"},\n {\"box_2d\": [699, 279, 813, 378], \"label\": \"oil tank\"},\n {\"box_2d\": [244, 324, 344, 412], \"label\": \"oil tank\"},\n {\"box_2d\": [357, 381, 460, 471], \"label\": \"oil tank\"},\n {\"box_2d\": [356, 504, 456, 594], \"label\": \"oil tank\"},\n {\"box_2d\": [475, 442, 583, 535], \"label\": \"oil tank\"},\n {\"box_2d\": [602, 508, 712, 602], \"label\": \"oil tank\"}\n]\n```", "correct": true, "input_tokens": 1217, "output_tokens": 395, "elapsed_seconds": 6.139797083102167, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 6.2191}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 193, "image": "fall-detection_11_mp4-445_jpg.rf.ec9538d8514a0521c6f155cde47497f3.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [489, 833, 536, 945], \"label\": \"fallen person\"},\n {\"box_2d\": [498, 616, 566, 709], \"label\": \"fallen person\"},\n {\"box_2d\": [686, 222, 781, 369], \"label\": \"fallen person\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 117, "elapsed_seconds": 3.778275540913455, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 3.7949}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 194, "image": "IMG_0619_jpeg.rf.c3c23da72f8dbeb2815ccc4646178889.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [266, 309, 349, 376], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [347, 749, 434, 839], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [261, 479, 333, 542], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [254, 639, 323, 701], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [319, 544, 410, 610], \"label\": \"caramel corn jelly bean\"},\n {\"box_2d\": [348, 362, 448, 423], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [451, 495, 570, 578], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [485, 677, 574, 789], \"label\": \"peach jelly bean\"},\n {\"box_2d\": [598, 579, 750, 675], \"label\": \"peach jelly bean\"},\n {\"box_2d\": [621, 344, 756, 476], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [481, 185, 609, 278], \"label\": \"tutti-fruitti jelly bean\"}\n]\n```", "correct": true, "input_tokens": 1230, "output_tokens": 428, "elapsed_seconds": 7.554356541950256, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 7.6071}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 195, "image": "GP010243_JPG_jpg.rf.64d32b7106e99e9f954d84ee868d21ec.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [584, 483, 616, 681], \"label\": \"carrot\"},\n {\"box_2d\": [609, 470, 648, 652], \"label\": \"carrot\"},\n {\"box_2d\": [614, 386, 730, 444], \"label\": \"carrot\"},\n {\"box_2d\": [627, 386, 755, 542], \"label\": \"carrot\"},\n {\"box_2d\": [528, 344, 577, 472], \"label\": \"carrot\"},\n {\"box_2d\": [433, 345, 591, 394], \"label\": \"carrot\"},\n {\"box_2d\": [373, 392, 542, 416], \"label\": \"carrot\"},\n {\"box_2d\": [288, 345, 378, 452], \"label\": \"carrot\"},\n {\"box_2d\": [345, 408, 520, 441], \"label\": \"carrot\"},\n {\"box_2d\": [472, 412, 497, 572], \"label\": \"carrot\"},\n {\"box_2d\": [498, 423, 536, 569], \"label\": \"carrot\"},\n {\"box_2d\": [275, 450, 475, 489], \"label\": \"carrot\"},\n {\"box_2d\": [288, 484, 422, 508], \"label\": \"carrot\"},\n {\"box_2d\": [259, 475, 408, 608], \"label\": \"carrot\"},\n {\"box_2d\": [397, 489, 453, 631], \"label\": \"carrot\"},\n {\"box_2d\": [348, 598, 511, 623], \"label\": \"carrot\"},\n {\"box_2d\": [423, 569, 519, 603], \"label\": \"carrot\"},\n {\"box_2d\": [375, 561, 484, 683], \"label\": \"carrot\"},\n {\"box_2d\": [169, 375, 311, 416], \"label\": \"carrot\"},\n {\"box_2d\": [162, 392, 302, 442], \"label\": \"carrot\"},\n {\"box_2d\": [59, 355, 253, 388], \"label\": \"carrot\"},\n {\"box_2d\": [91, 389, 217, 461], \"label\": \"carrot\"},\n {\"box_2d\": [134, 472, 320, 570], \"label\": \"carrot\"},\n {\"box_2d\": [95, 447, 223, 500], \"label\": \"carrot\"},\n {\"box_2d\": [91, 497, 180, 611], \"label\": \"carrot\"},\n {\"box_2d\": [130, 566, 333, 605], \"label\": \"carrot\"},\n {\"box_2d\": [150, 527, 220, 680], \"label\": \"carrot\"},\n {\"box_2d\": [159, 622, 294, 684], \"label\": \"carrot\"},\n {\"box_2d\": [219, 616, 364, 689], \"label\": \"carrot\"},\n {\"box_2d\": [233, 617, 389, 705], \"label\": \"carrot\"},\n {\"box_2d\": [278, 680, 420, 708], \"label\": \"carrot\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 1062, "elapsed_seconds": 10.777383832959458, "metadata": {"match_method": "map", "num_predictions": 31, "num_ground_truth": 31, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 10.8084}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 196, "image": "AF6880-9_2025_NCPT-169_JPG_jpg.rf.ea0bce7069f12d5c1ba29710a0998228.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [58, 191, 148, 227], \"label\": \"potato\"},\n {\"box_2d\": [17, 239, 81, 266], \"label\": \"potato\"},\n {\"box_2d\": [81, 238, 148, 267], \"label\": \"potato\"},\n {\"box_2d\": [146, 233, 222, 267], \"label\": \"potato\"},\n {\"box_2d\": [32, 286, 91, 308], \"label\": \"potato\"},\n {\"box_2d\": [58, 320, 155, 357], \"label\": \"potato\"},\n {\"box_2d\": [9, 371, 88, 401], \"label\": \"potato\"},\n {\"box_2d\": [95, 369, 162, 400], \"label\": \"potato\"},\n {\"box_2d\": [162, 371, 237, 399], \"label\": \"potato\"},\n {\"box_2d\": [228, 361, 279, 383], \"label\": \"potato\"},\n {\"box_2d\": [74, 412, 145, 444], \"label\": \"potato\"},\n {\"box_2d\": [141, 409, 250, 449], \"label\": \"potato\"},\n {\"box_2d\": [248, 410, 345, 445], \"label\": \"potato\"},\n {\"box_2d\": [341, 412, 395, 437], \"label\": \"potato\"},\n {\"box_2d\": [275, 358, 389, 403], \"label\": \"potato\"},\n {\"box_2d\": [252, 275, 349, 312], \"label\": \"potato\"},\n {\"box_2d\": [323, 322, 427, 361], \"label\": \"potato\"},\n {\"box_2d\": [390, 365, 474, 398], \"label\": \"potato\"},\n {\"box_2d\": [401, 400, 496, 440], \"label\": \"potato\"},\n {\"box_2d\": [5, 454, 108, 497], \"label\": \"potato\"},\n {\"box_2d\": [111, 454, 206, 490], \"label\": \"potato\"},\n {\"box_2d\": [205, 453, 291, 490], \"label\": \"potato\"},\n {\"box_2d\": [288, 447, 363, 479], \"label\": \"potato\"},\n {\"box_2d\": [363, 448, 464, 489], \"label\": \"potato\"},\n {\"box_2d\": [51, 501, 136, 536], \"label\": \"potato\"},\n {\"box_2d\": [134, 501, 214, 532], \"label\": \"potato\"},\n {\"box_2d\": [213, 503, 281, 529], \"label\": \"potato\"},\n {\"box_2d\": [279, 500, 376, 537], \"label\": \"potato\"},\n {\"box_2d\": [227, 543, 315, 574], \"label\": \"potato\"},\n {\"box_2d\": [78, 586, 169, 621], \"label\": \"potato\"},\n {\"box_2d\": [237, 582, 351, 620], \"label\": \"potato\"},\n {\"box_2d\": [7, 634, 96, 665], \"label\": \"potato\"},\n {\"box_2d\": [92, 633, 176, 670], \"label\": \"potato\"},\n {\"box_2d\": [173, 634, 234, 659], \"label\": \"potato\"},\n {\"box_2d\": [193, 671, 294, 707], \"label\": \"potato\"},\n {\"box_2d\": [387, 536, 483, 580], \"label\": \"potato\"},\n {\"box_2d\": [422, 669, 514, 704], \"label\": \"potato\"},\n {\"box_2d\": [568, 670, 630, 695], \"label\": \"potato\"},\n {\"box_2d\": [562, 585, 633, 611], \"label\": \"potato\"},\n {\"box_2d\": [637, 582, 728, 611], \"label\": \"potato\"},\n {\"box_2d\": [579, 753, 682, 791], \"label\": \"potato\"},\n {\"box_2d\": [823, 664, 916, 699], \"label\": \"potato\"},\n {\"box_2d\": [485, 493, 597, 540], \"label\": \"potato\"},\n {\"box_2d\": [515, 452, 589, 484], \"label\": \"potato\"},\n {\"box_2d\": [505, 402, 613, 438], \"label\": \"potato\"},\n {\"box_2d\": [472, 361, 575, 399], \"label\": \"potato\"},\n {\"box_2d\": [455, 320, 533, 350], \"label\": \"potato\"},\n {\"box_2d\": [430, 276, 517, 309], \"label\": \"potato\"},\n {\"box_2d\": [402, 234, 461, 261], \"label\": \"potato\"},\n {\"box_2d\": [526, 276, 616, 312], \"label\": \"potato\"},\n {\"box_2d\": [592, 317, 671, 351], \"label\": \"potato\"},\n {\"box_2d\": [641, 273, 728, 307], \"label\": \"potato\"},\n {\"box_2d\": [670, 232, 749, 262], \"label\": \"potato\"},\n {\"box_2d\": [617, 195, 668, 217], \"label\": \"potato\"},\n {\"box_2d\": [727, 275, 804, 303], \"label\": \"potato\"},\n {\"box_2d\": [661, 365, 729, 393], \"label\": \"potato\"},\n {\"box_2d\": [656, 402, 748, 440], \"label\": \"potato\"},\n {\"box_2d\": [606, 447, 694, 485], \"label\": \"potato\"},\n {\"box_2d\": [728, 356, 825, 398], \"label\": \"potato\"},\n {\"box_2d\": [826, 353, 930, 393], \"label\": \"potato\"},\n {\"box_2d\": [918, 314, 1000, 346], \"label\": \"potato\"},\n {\"box_2d\": [925, 360, 1000, 397], \"label\": \"potato\"},\n {\"box_2d\": [864, 398, 942, 434], \"label\": \"potato\"},\n {\"box_2d\": [937, 405, 1000, 434], \"label\": \"potato\"},\n {\"box_2d\": [765, 487, 857, 529], \"label\": \"potato\"},\n {\"box_2d\": [858, 492, 932, 521], \"label\": \"potato\"},\n {\"box_2d\": [932, 490, 1000, 524], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 2274, "elapsed_seconds": 55.58078770793509, "metadata": {"match_method": "map", "num_predictions": 67, "num_ground_truth": 67, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 56.3318}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 197, "image": "frame_0086_jpg.rf.5ae0e80356e2c5bb993a052e5023c7f1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [112, 326, 152, 353], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [27, 339, 68, 362], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [29, 396, 68, 419], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [114, 383, 156, 408], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [118, 440, 161, 466], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [32, 452, 71, 474], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [38, 507, 79, 531], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [123, 498, 166, 524], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [654, 299, 703, 325], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [656, 361, 709, 387], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [669, 424, 720, 452], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [682, 490, 732, 515], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [767, 295, 816, 321], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [771, 356, 822, 383], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [781, 421, 835, 448], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [798, 486, 847, 513], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [913, 483, 962, 509], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [898, 418, 949, 444], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [886, 353, 936, 380], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [878, 293, 927, 318], \"label\": \"soda bottle cap\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 724, "elapsed_seconds": 87.90267679200042, "metadata": {"match_method": "map", "num_predictions": 20, "num_ground_truth": 20, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 88.4806}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 198, "image": "image_147_png_jpg.rf.fd3e0f5032b1ae386c027b1058ac751a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [117, 673, 405, 895], \"label\": \"tire size text\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 48, "elapsed_seconds": 23.299988917075098, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5049504637718201, "attempts": 1, "retries": 0, "total_seconds": 23.7834}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 199, "image": "fabric-defect_1080_jpg.rf.77a4ab03e25cfeeaaa1f6bbdcb3e7742.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [563, 487, 667, 730], \"label\": \"fabric cut\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 47, "elapsed_seconds": 4.012026084004901, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 4.0238}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 200, "image": "oil-tank-detection_oiltank_137_jpg.rf.be33343bf10652832014b855d080a80c.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [77, 462, 232, 591], \"label\": \"oil tank\"},\n {\"box_2d\": [92, 599, 237, 725], \"label\": \"oil tank\"},\n {\"box_2d\": [104, 736, 224, 839], \"label\": \"oil tank\"},\n {\"box_2d\": [230, 730, 362, 837], \"label\": \"oil tank\"},\n {\"box_2d\": [236, 595, 391, 725], \"label\": \"oil tank\"},\n {\"box_2d\": [230, 456, 381, 583], \"label\": \"oil tank\"},\n {\"box_2d\": [391, 449, 540, 578], \"label\": \"oil tank\"},\n {\"box_2d\": [399, 591, 551, 721], \"label\": \"oil tank\"},\n {\"box_2d\": [363, 728, 495, 836], \"label\": \"oil tank\"},\n {\"box_2d\": [548, 593, 691, 709], \"label\": \"oil tank\"},\n {\"box_2d\": [546, 450, 684, 563], \"label\": \"oil tank\"},\n {\"box_2d\": [117, 848, 194, 922], \"label\": \"oil tank\"},\n {\"box_2d\": [194, 846, 275, 921], \"label\": \"oil tank\"},\n {\"box_2d\": [275, 849, 360, 920], \"label\": \"oil tank\"},\n {\"box_2d\": [360, 845, 443, 919], \"label\": \"oil tank\"},\n {\"box_2d\": [443, 845, 530, 920], \"label\": \"oil tank\"},\n {\"box_2d\": [588, 846, 675, 914], \"label\": \"oil tank\"}\n]\n```", "correct": true, "input_tokens": 1217, "output_tokens": 605, "elapsed_seconds": 10.01420625008177, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 17, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 10.0897}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 201, "image": "basketball-player-detection_boston-celtics-new-york-knicks-game-1-q1-05-13-05-09-0000_png.rf.31fd4573143b8c82031c8804c4754e40.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [325, 198, 349, 211], \"label\": \"basketball\"},\n {\"box_2d\": [194, 711, 250, 742], \"label\": \"basket rim\"},\n {\"box_2d\": [290, 158, 459, 200], \"label\": \"player in possession\"},\n {\"box_2d\": [356, 130, 610, 181], \"label\": \"player\"},\n {\"box_2d\": [397, 223, 648, 281], \"label\": \"player\"},\n {\"box_2d\": [307, 297, 488, 355], \"label\": \"player\"},\n {\"box_2d\": [579, 467, 804, 530], \"label\": \"player\"},\n {\"box_2d\": [478, 482, 686, 529], \"label\": \"player\"},\n {\"box_2d\": [205, 539, 375, 591], \"label\": \"player\"},\n {\"box_2d\": [244, 658, 452, 694], \"label\": \"player\"},\n {\"box_2d\": [173, 670, 356, 709], \"label\": \"player\"},\n {\"box_2d\": [219, 9, 400, 67], \"label\": \"referee\"},\n {\"box_2d\": [678, 632, 910, 678], \"label\": \"referee\"},\n {\"box_2d\": [202, 742, 376, 783], \"label\": \"referee\"},\n {\"box_2d\": [294, 671, 316, 680], \"label\": \"jersey number\"},\n {\"box_2d\": [232, 562, 254, 570], \"label\": \"jersey number\"},\n {\"box_2d\": [329, 319, 352, 335], \"label\": \"jersey number\"},\n {\"box_2d\": [457, 241, 486, 252], \"label\": \"jersey number\"},\n {\"box_2d\": [636, 473, 667, 481], \"label\": \"jersey number\"},\n {\"box_2d\": [723, 651, 745, 664], \"label\": \"jersey number\"},\n {\"box_2d\": [401, 141, 439, 152], \"label\": \"jersey number\"},\n {\"box_2d\": [141, 534, 307, 567], \"label\": \"player\"}\n]\n```", "correct": false, "input_tokens": 1250, "output_tokens": 770, "elapsed_seconds": 19.5472273749765, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 23, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7524280548095703, "attempts": 1, "retries": 0, "total_seconds": 19.6788}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 202, "image": "z4517190790071_c6f2ede212488ea95f254bbe631608fc_jpg.rf.f7f6570fcaaac50f965457b35ee9278d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [158, 350, 261, 505], \"label\": \"10 poker chip\"},\n {\"box_2d\": [280, 241, 394, 405], \"label\": \"20 poker chip\"},\n {\"box_2d\": [364, 102, 483, 274], \"label\": \"100 poker chip\"},\n {\"box_2d\": [457, 187, 586, 364], \"label\": \"10 poker chip\"},\n {\"box_2d\": [549, 27, 687, 207], \"label\": \"50 poker chip\"},\n {\"box_2d\": [573, 248, 714, 431], \"label\": \"20 poker chip\"},\n {\"box_2d\": [421, 357, 545, 529], \"label\": \"20 poker chip\"},\n {\"box_2d\": [292, 439, 408, 604], \"label\": \"20 poker chip\"},\n {\"box_2d\": [228, 588, 340, 752], \"label\": \"50 poker chip\"},\n {\"box_2d\": [425, 606, 552, 785], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [344, 771, 464, 945], \"label\": \"5000 poker chip\"},\n {\"box_2d\": [526, 456, 663, 637], \"label\": \"20 poker chip\"},\n {\"box_2d\": [549, 698, 689, 886], \"label\": \"500 poker chip\"},\n {\"box_2d\": [692, 602, 847, 799], \"label\": \"50 poker chip\"},\n {\"box_2d\": [705, 396, 862, 591], \"label\": \"50 poker chip\"}\n]\n```", "correct": true, "input_tokens": 1246, "output_tokens": 572, "elapsed_seconds": 34.467488041031174, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 34.7622}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 203, "image": "0000272_05500_d_0000012_jpg.rf.4ba2cfdc69b70f306855d444db49f509.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [771, 351, 848, 369], \"label\": \"person\"},\n {\"box_2d\": [742, 404, 800, 417], \"label\": \"bike\"},\n {\"box_2d\": [715, 403, 767, 418], \"label\": \"person\"},\n {\"box_2d\": [870, 452, 1000, 519], \"label\": \"car\"},\n {\"box_2d\": [592, 475, 742, 526], \"label\": \"car\"},\n {\"box_2d\": [617, 581, 731, 646], \"label\": \"car\"},\n {\"box_2d\": [750, 29, 832, 83], \"label\": \"car\"},\n {\"box_2d\": [423, 480, 518, 520], \"label\": \"car\"},\n {\"box_2d\": [419, 413, 471, 424], \"label\": \"person\"},\n {\"box_2d\": [332, 384, 392, 402], \"label\": \"awning tricycle\"},\n {\"box_2d\": [291, 386, 338, 403], \"label\": \"awning tricycle\"},\n {\"box_2d\": [283, 488, 359, 520], \"label\": \"car\"},\n {\"box_2d\": [186, 482, 249, 506], \"label\": \"van\"},\n {\"box_2d\": [230, 529, 282, 555], \"label\": \"car\"},\n {\"box_2d\": [261, 566, 319, 588], \"label\": \"awning tricycle\"},\n {\"box_2d\": [356, 610, 386, 620], \"label\": \"motorcycle\"},\n {\"box_2d\": [335, 608, 376, 621], \"label\": \"person\"},\n {\"box_2d\": [491, 672, 550, 691], \"label\": \"person\"},\n {\"box_2d\": [219, 461, 245, 470], \"label\": \"bike\"},\n {\"box_2d\": [205, 460, 239, 469], \"label\": \"person\"},\n {\"box_2d\": [268, 406, 294, 415], \"label\": \"motorcycle\"},\n {\"box_2d\": [209, 401, 276, 421], \"label\": \"awning tricycle\"},\n {\"box_2d\": [194, 397, 224, 426], \"label\": \"car\"},\n {\"box_2d\": [112, 425, 160, 442], \"label\": \"car\"},\n {\"box_2d\": [75, 426, 121, 446], \"label\": \"van\"},\n {\"box_2d\": [173, 585, 219, 611], \"label\": \"car\"},\n {\"box_2d\": [134, 448, 165, 454], \"label\": \"person\"},\n {\"box_2d\": [75, 562, 108, 582], \"label\": \"car\"},\n {\"box_2d\": [35, 557, 74, 575], \"label\": \"van\"},\n {\"box_2d\": [26, 519, 58, 536], \"label\": \"car\"},\n {\"box_2d\": [6, 555, 31, 569], \"label\": \"car\"},\n {\"box_2d\": [0, 459, 17, 475], \"label\": \"car\"},\n {\"box_2d\": [34, 434, 71, 452], \"label\": \"van\"},\n {\"box_2d\": [17, 440, 56, 455], \"label\": \"truck\"},\n {\"box_2d\": [54, 429, 108, 451], \"label\": \"truck\"},\n {\"box_2d\": [213, 608, 244, 616], \"label\": \"person\"},\n {\"box_2d\": [216, 622, 244, 628], \"label\": \"person\"},\n {\"box_2d\": [235, 748, 267, 770], \"label\": \"motorcycle\"},\n {\"box_2d\": [239, 797, 281, 807], \"label\": \"person\"},\n {\"box_2d\": [283, 784, 323, 808], \"label\": \"tricycle\"},\n {\"box_2d\": [425, 847, 460, 868], \"label\": \"motorcycle\"},\n {\"box_2d\": [453, 924, 487, 938], \"label\": \"person\"}\n]\n```", "correct": false, "input_tokens": 1251, "output_tokens": 1427, "elapsed_seconds": 17.436113291070797, "metadata": {"match_method": "map", "num_predictions": 42, "num_ground_truth": 48, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.553512454032898, "attempts": 1, "retries": 0, "total_seconds": 17.5053}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 204, "image": "IMG_20251126_160326_jpg.rf.31a216199c4280d746f5865a68a63ce2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 476, 195, 553], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [0, 629, 179, 710], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [686, 33, 779, 103], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [659, 118, 949, 194], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [674, 241, 769, 311], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [656, 313, 765, 385], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [669, 383, 765, 449], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [664, 463, 756, 530], \"label\": \"white standard price tag\"},\n {\"box_2d\": [636, 591, 922, 667], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [656, 688, 749, 757], \"label\": \"white standard price tag\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 377, "elapsed_seconds": 12.66439008305315, "metadata": {"match_method": "map", "num_predictions": 10, "num_ground_truth": 10, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 13.0798}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 205, "image": "54_jpg.rf.3f4031b98a1a0622e63a0c84142db646.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [46, 108, 121, 350], \"label\": \"blood sample tube\"},\n {\"box_2d\": [39, 294, 326, 449], \"label\": \"blood sample tube\"},\n {\"box_2d\": [173, 321, 419, 513], \"label\": \"blood sample tube\"},\n {\"box_2d\": [311, 224, 631, 275], \"label\": \"blood sample tube\"},\n {\"box_2d\": [400, 110, 697, 241], \"label\": \"blood sample tube\"},\n {\"box_2d\": [686, 118, 750, 359], \"label\": \"blood sample tube\"},\n {\"box_2d\": [678, 417, 744, 660], \"label\": \"blood sample tube\"},\n {\"box_2d\": [540, 555, 725, 785], \"label\": \"blood sample tube\"},\n {\"box_2d\": [512, 650, 692, 886], \"label\": \"blood sample tube\"},\n {\"box_2d\": [423, 616, 608, 848], \"label\": \"blood sample tube\"},\n {\"box_2d\": [230, 642, 507, 822], \"label\": \"blood sample tube\"},\n {\"box_2d\": [191, 559, 461, 738], \"label\": \"blood sample tube\"},\n {\"box_2d\": [69, 652, 378, 785], \"label\": \"blood sample tube\"},\n {\"box_2d\": [49, 452, 237, 675], \"label\": \"blood sample tube\"},\n {\"box_2d\": [18, 544, 93, 785], \"label\": \"blood sample tube\"},\n {\"box_2d\": [50, 782, 375, 839], \"label\": \"blood sample tube\"},\n {\"box_2d\": [155, 828, 483, 879], \"label\": \"blood sample tube\"},\n {\"box_2d\": [332, 471, 613, 640], \"label\": \"blood sample tube\"},\n {\"box_2d\": [411, 371, 710, 516], \"label\": \"blood sample tube\"},\n {\"box_2d\": [293, 369, 600, 496], \"label\": \"blood sample tube\"},\n {\"box_2d\": [377, 304, 684, 428], \"label\": \"blood sample tube\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 761, "elapsed_seconds": 12.007125832955353, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 21, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 12.0366}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 206, "image": "car-part-detection_Car-damages-100_png_jpg.rf.662e4c271efc89eea96c10e14886a134.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [228, 344, 360, 535], \"label\": \"front window\"},\n {\"box_2d\": [228, 550, 355, 744], \"label\": \"back window\"},\n {\"box_2d\": [224, 524, 591, 766], \"label\": \"back door\"},\n {\"box_2d\": [224, 297, 581, 549], \"label\": \"front door\"},\n {\"box_2d\": [329, 134, 391, 286], \"label\": \"hood\"},\n {\"box_2d\": [391, 115, 440, 162], \"label\": \"headlight\"},\n {\"box_2d\": [369, 879, 435, 954], \"label\": \"tail light\"},\n {\"box_2d\": [235, 310, 322, 429], \"label\": \"windshield\"},\n {\"box_2d\": [315, 322, 362, 341], \"label\": \"mirror\"},\n {\"box_2d\": [235, 728, 311, 833], \"label\": \"back windshield\"},\n {\"box_2d\": [416, 829, 607, 961], \"label\": \"back bumper\"},\n {\"box_2d\": [412, 104, 574, 178], \"label\": \"front bumper\"}\n]\n```", "correct": false, "input_tokens": 1273, "output_tokens": 430, "elapsed_seconds": 5.86350824998226, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 13, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7499998807907104, "attempts": 1, "retries": 0, "total_seconds": 5.8811}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 207, "image": "11_jpeg_jpg.rf.39329fe23320cf7bc33af6b9a57582d1.jpg", "expected": "", "predicted": "```json\n[{\"box_2d\": [77, 259, 184, 340], \"label\": \"potato\"}, {\"box_2d\": [298, 34, 425, 134], \"label\": \"potato\"}, {\"box_2d\": [715, 0, 810, 34], \"label\": \"potato\"}, {\"box_2d\": [298, 345, 391, 435], \"label\": \"potato\"}, {\"box_2d\": [498, 200, 661, 316], \"label\": \"potato\"}, {\"box_2d\": [488, 405, 594, 498], \"label\": \"potato\"}, {\"box_2d\": [698, 323, 830, 434], \"label\": \"potato\"}, {\"box_2d\": [914, 314, 1000, 422], \"label\": \"potato\"}, {\"box_2d\": [651, 510, 819, 621], \"label\": \"potato\"}, {\"box_2d\": [88, 643, 184, 738], \"label\": \"potato\"}, {\"box_2d\": [504, 618, 596, 702], \"label\": \"potato\"}, {\"box_2d\": [504, 788, 603, 879], \"label\": \"potato\"}, {\"box_2d\": [710, 703, 811, 783], \"label\": \"potato\"}, {\"box_2d\": [703, 813, 809, 882], \"label\": \"potato\"}, {\"box_2d\": [898, 744, 1000, 838], \"label\": \"potato\"}]```", "correct": true, "input_tokens": 1240, "output_tokens": 484, "elapsed_seconds": 6.317863874952309, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9306930899620056, "attempts": 1, "retries": 0, "total_seconds": 6.3611}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 208, "image": "oil-tank-detection_oiltank_3_jpg.rf.be0eb144cee15c2f85755ead464dc286.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [537, 226, 623, 294], \"label\": \"oil tank\"},\n {\"box_2d\": [278, 229, 412, 333], \"label\": \"oil tank\"},\n {\"box_2d\": [283, 74, 417, 179], \"label\": \"oil tank\"},\n {\"box_2d\": [540, 132, 628, 200], \"label\": \"oil tank\"},\n {\"box_2d\": [105, 72, 234, 173], \"label\": \"oil tank\"},\n {\"box_2d\": [100, 229, 232, 332], \"label\": \"oil tank\"},\n {\"box_2d\": [92, 458, 218, 560], \"label\": \"oil tank\"},\n {\"box_2d\": [86, 613, 214, 718], \"label\": \"oil tank\"},\n {\"box_2d\": [269, 464, 404, 566], \"label\": \"oil tank\"},\n {\"box_2d\": [262, 621, 396, 722], \"label\": \"oil tank\"}\n]\n```", "correct": true, "input_tokens": 1217, "output_tokens": 358, "elapsed_seconds": 6.415279167005792, "metadata": {"match_method": "map", "num_predictions": 10, "num_ground_truth": 10, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 6.4874}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 209, "image": "tile_558_jpg.rf.98aa48e6c54062f1e67b01de665e6887.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [76, 882, 95, 922], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [311, 569, 334, 602], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [345, 248, 376, 322], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [624, 340, 665, 421], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [869, 152, 898, 224], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [602, 839, 620, 892], \"label\": \"ship in SAR satellite image\"}\n]\n```", "correct": true, "input_tokens": 1229, "output_tokens": 238, "elapsed_seconds": 7.283474541036412, "metadata": {"match_method": "map", "num_predictions": 6, "num_ground_truth": 6, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 7.3305}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 210, "image": "20230224_110122_jpg.rf.94c8b9d6caaec8593c315337e30857d7.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [589, 196, 650, 284], \"label\": \"crack\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 46, "elapsed_seconds": 3.0077316659735516, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 3.0233}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 211, "image": "IMG_20220316_144550_jpg.rf.92c6d74a9ccc9c6c90918613d40eb144.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [553, 170, 999, 513], \"label\": \"five of hearts\"},\n {\"box_2d\": [443, 405, 892, 667], \"label\": \"seven of hearts\"},\n {\"box_2d\": [244, 290, 657, 521], \"label\": \"six of hearts\"},\n {\"box_2d\": [282, 513, 669, 684], \"label\": \"eight of hearts\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 156, "elapsed_seconds": 4.893078749999404, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 4.9158}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 212, "image": "wood-log-detection_006_png_jpg.rf.45786538ddac406dd0014f409b1d4caa.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [56, 448, 194, 534], \"label\": \"log cross-section\"},\n {\"box_2d\": [117, 475, 248, 558], \"label\": \"log cross-section\"},\n {\"box_2d\": [56, 553, 173, 628], \"label\": \"log cross-section\"},\n {\"box_2d\": [80, 623, 134, 678], \"label\": \"log cross-section\"},\n {\"box_2d\": [108, 650, 178, 711], \"label\": \"log cross-section\"},\n {\"box_2d\": [123, 558, 159, 594], \"label\": \"log cross-section\"},\n {\"box_2d\": [117, 592, 162, 641], \"label\": \"log cross-section\"},\n {\"box_2d\": [147, 561, 248, 619], \"label\": \"log cross-section\"},\n {\"box_2d\": [159, 617, 250, 686], \"label\": \"log cross-section\"},\n {\"box_2d\": [159, 683, 252, 780], \"label\": \"log cross-section\"},\n {\"box_2d\": [189, 445, 250, 486], \"label\": \"log cross-section\"},\n {\"box_2d\": [119, 389, 250, 452], \"label\": \"log cross-section\"},\n {\"box_2d\": [86, 294, 252, 419], \"label\": \"log cross-section\"},\n {\"box_2d\": [205, 323, 252, 366], \"label\": \"log cross-section\"},\n {\"box_2d\": [92, 200, 255, 336], \"label\": \"log cross-section\"},\n {\"box_2d\": [181, 239, 253, 305], \"label\": \"log cross-section\"}\n]\n```", "correct": false, "input_tokens": 1228, "output_tokens": 599, "elapsed_seconds": 7.426242292043753, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0806223452091217, "attempts": 1, "retries": 0, "total_seconds": 7.452}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 213, "image": "Container_864_jpg.rf.9627e6adc1ff8e75c7d8ca9f8cc06311.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [111, 541, 389, 566], \"label\": \"shipping container number\"},\n {\"box_2d\": [96, 604, 195, 619], \"label\": \"container ISO type code\"}\n]\n```", "correct": true, "input_tokens": 1232, "output_tokens": 84, "elapsed_seconds": 2.9726950830081478, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 2.9927}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 214, "image": "uav20221018_ixfZ_3857_14_png.rf.64d1ce8897202b1ab5141c12ebcde0db.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [767, 859, 822, 916], \"label\": \"banana tree\"},\n {\"box_2d\": [858, 865, 902, 904], \"label\": \"banana tree\"},\n {\"box_2d\": [809, 783, 875, 845], \"label\": \"banana tree\"},\n {\"box_2d\": [934, 864, 999, 919], \"label\": \"banana tree\"},\n {\"box_2d\": [898, 795, 962, 852], \"label\": \"banana tree\"},\n {\"box_2d\": [958, 488, 1000, 551], \"label\": \"banana tree\"},\n {\"box_2d\": [922, 571, 965, 616], \"label\": \"banana tree\"},\n {\"box_2d\": [870, 489, 933, 550], \"label\": \"banana tree\"},\n {\"box_2d\": [791, 479, 858, 546], \"label\": \"banana tree\"},\n {\"box_2d\": [832, 567, 875, 608], \"label\": \"banana tree\"},\n {\"box_2d\": [746, 554, 797, 612], \"label\": \"banana tree\"},\n {\"box_2d\": [686, 481, 773, 569], \"label\": \"banana tree\"},\n {\"box_2d\": [617, 484, 682, 552], \"label\": \"banana tree\"},\n {\"box_2d\": [656, 549, 711, 610], \"label\": \"banana tree\"},\n {\"box_2d\": [572, 561, 623, 608], \"label\": \"banana tree\"},\n {\"box_2d\": [524, 476, 588, 542], \"label\": \"banana tree\"},\n {\"box_2d\": [436, 482, 497, 545], \"label\": \"banana tree\"},\n {\"box_2d\": [477, 565, 535, 606], \"label\": \"banana tree\"},\n {\"box_2d\": [397, 551, 444, 604], \"label\": \"banana tree\"},\n {\"box_2d\": [349, 478, 434, 547], \"label\": \"banana tree\"},\n {\"box_2d\": [275, 486, 325, 536], \"label\": \"banana tree\"},\n {\"box_2d\": [311, 557, 360, 601], \"label\": \"banana tree\"},\n {\"box_2d\": [228, 558, 271, 597], \"label\": \"banana tree\"},\n {\"box_2d\": [172, 473, 250, 545], \"label\": \"banana tree\"},\n {\"box_2d\": [138, 545, 198, 606], \"label\": \"banana tree\"},\n {\"box_2d\": [92, 464, 165, 536], \"label\": \"banana tree\"},\n {\"box_2d\": [54, 554, 108, 601], \"label\": \"banana tree\"},\n {\"box_2d\": [2, 466, 75, 541], \"label\": \"banana tree\"},\n {\"box_2d\": [0, 551, 21, 598], \"label\": \"banana tree\"},\n {\"box_2d\": [0, 155, 41, 231], \"label\": \"banana tree\"},\n {\"box_2d\": [86, 173, 134, 212], \"label\": \"banana tree\"},\n {\"box_2d\": [46, 245, 81, 282], \"label\": \"banana tree\"},\n {\"box_2d\": [117, 246, 169, 290], \"label\": \"banana tree\"},\n {\"box_2d\": [168, 172, 218, 223], \"label\": \"banana tree\"},\n {\"box_2d\": [213, 240, 260, 283], \"label\": \"banana tree\"},\n {\"box_2d\": [260, 175, 300, 217], \"label\": \"banana tree\"},\n {\"box_2d\": [306, 240, 344, 279], \"label\": \"banana tree\"},\n {\"box_2d\": [341, 172, 397, 230], \"label\": \"banana tree\"},\n {\"box_2d\": [427, 177, 483, 223], \"label\": \"banana tree\"},\n {\"box_2d\": [389, 251, 424, 289], \"label\": \"banana tree\"},\n {\"box_2d\": [471, 248, 524, 296], \"label\": \"banana tree\"},\n {\"box_2d\": [517, 182, 563, 228], \"label\": \"banana tree\"},\n {\"box_2d\": [562, 247, 613, 292], \"label\": \"banana tree\"},\n {\"box_2d\": [602, 182, 653, 236], \"label\": \"banana tree\"},\n {\"box_2d\": [682, 168, 742, 238], \"label\": \"banana tree\"},\n {\"box_2d\": [637, 247, 709, 299], \"label\": \"banana tree\"},\n {\"box_2d\": [729, 243, 789, 297], \"label\": \"banana tree\"},\n {\"box_2d\": [779, 175, 833, 235], \"label\": \"banana tree\"},\n {\"box_2d\": [826, 251, 880, 299], \"label\": \"banana tree\"},\n {\"box_2d\": [864, 177, 922, 240], \"label\": \"banana tree\"},\n {\"box_2d\": [909, 250, 965, 309], \"label\": \"banana tree\"},\n {\"box_2d\": [955, 180, 1000, 242], \"label\": \"banana tree\"}\n]\n```", "correct": false, "input_tokens": 1226, "output_tokens": 1820, "elapsed_seconds": 25.442537333001383, "metadata": {"match_method": "map", "num_predictions": 52, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6832185387611389, "attempts": 1, "retries": 0, "total_seconds": 25.5133}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 215, "image": "1704192313045_jpg.rf.f68f24072cd4a5061cddf9521b0b617a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [430, 294, 514, 366], \"label\": \"chickpea grain\"},\n {\"box_2d\": [502, 439, 566, 511], \"label\": \"chickpea grain\"},\n {\"box_2d\": [698, 228, 780, 302], \"label\": \"chickpea grain\"},\n {\"box_2d\": [264, 603, 336, 688], \"label\": \"chickpea grain\"},\n {\"box_2d\": [591, 731, 670, 808], \"label\": \"chickpea grain\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 192, "elapsed_seconds": 4.40915674995631, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 4.4288}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 216, "image": "A15311-6Ctrv_2025_NCPT-174_JPG_jpg.rf.fc9ee0cac2da2d059bc0db453be0c788.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [928, 722, 995, 748], \"label\": \"potato\"},\n {\"box_2d\": [704, 594, 772, 623], \"label\": \"potato\"},\n {\"box_2d\": [918, 549, 974, 574], \"label\": \"potato\"},\n {\"box_2d\": [829, 544, 920, 577], \"label\": \"potato\"},\n {\"box_2d\": [824, 493, 949, 545], \"label\": \"potato\"},\n {\"box_2d\": [928, 458, 999, 488], \"label\": \"potato\"},\n {\"box_2d\": [731, 448, 840, 494], \"label\": \"potato\"},\n {\"box_2d\": [598, 456, 736, 497], \"label\": \"potato\"},\n {\"box_2d\": [504, 591, 639, 639], \"label\": \"potato\"},\n {\"box_2d\": [451, 637, 553, 674], \"label\": \"potato\"},\n {\"box_2d\": [401, 550, 501, 583], \"label\": \"potato\"},\n {\"box_2d\": [366, 501, 499, 544], \"label\": \"potato\"},\n {\"box_2d\": [156, 590, 286, 646], \"label\": \"potato\"},\n {\"box_2d\": [26, 630, 151, 680], \"label\": \"potato\"},\n {\"box_2d\": [6, 600, 84, 631], \"label\": \"potato\"},\n {\"box_2d\": [3, 557, 89, 589], \"label\": \"potato\"},\n {\"box_2d\": [6, 515, 67, 539], \"label\": \"potato\"},\n {\"box_2d\": [610, 415, 691, 450], \"label\": \"potato\"},\n {\"box_2d\": [431, 463, 503, 495], \"label\": \"potato\"},\n {\"box_2d\": [409, 415, 508, 452], \"label\": \"potato\"},\n {\"box_2d\": [311, 453, 434, 503], \"label\": \"potato\"},\n {\"box_2d\": [278, 413, 407, 456], \"label\": \"potato\"},\n {\"box_2d\": [123, 459, 241, 501], \"label\": \"potato\"},\n {\"box_2d\": [153, 416, 263, 458], \"label\": \"potato\"},\n {\"box_2d\": [72, 420, 156, 454], \"label\": \"potato\"},\n {\"box_2d\": [33, 379, 108, 408], \"label\": \"potato\"},\n {\"box_2d\": [107, 375, 190, 410], \"label\": \"potato\"},\n {\"box_2d\": [188, 376, 271, 410], \"label\": \"potato\"},\n {\"box_2d\": [268, 369, 372, 410], \"label\": \"potato\"},\n {\"box_2d\": [806, 373, 882, 401], \"label\": \"potato\"},\n {\"box_2d\": [715, 369, 804, 405], \"label\": \"potato\"},\n {\"box_2d\": [618, 368, 712, 405], \"label\": \"potato\"},\n {\"box_2d\": [485, 364, 599, 408], \"label\": \"potato\"},\n {\"box_2d\": [443, 326, 550, 366], \"label\": \"potato\"},\n {\"box_2d\": [560, 328, 655, 367], \"label\": \"potato\"},\n {\"box_2d\": [652, 333, 713, 359], \"label\": \"potato\"},\n {\"box_2d\": [804, 241, 887, 272], \"label\": \"potato\"},\n {\"box_2d\": [687, 285, 761, 314], \"label\": \"potato\"},\n {\"box_2d\": [606, 288, 672, 314], \"label\": \"potato\"},\n {\"box_2d\": [548, 290, 608, 315], \"label\": \"potato\"},\n {\"box_2d\": [514, 293, 551, 312], \"label\": \"potato\"},\n {\"box_2d\": [391, 280, 516, 325], \"label\": \"potato\"},\n {\"box_2d\": [496, 243, 584, 278], \"label\": \"potato\"},\n {\"box_2d\": [375, 244, 456, 276], \"label\": \"potato\"},\n {\"box_2d\": [567, 198, 646, 230], \"label\": \"potato\"},\n {\"box_2d\": [428, 202, 496, 229], \"label\": \"potato\"},\n {\"box_2d\": [300, 329, 399, 367], \"label\": \"potato\"},\n {\"box_2d\": [179, 319, 303, 366], \"label\": \"potato\"},\n {\"box_2d\": [63, 332, 154, 369], \"label\": \"potato\"},\n {\"box_2d\": [7, 340, 65, 364], \"label\": \"potato\"},\n {\"box_2d\": [8, 292, 92, 325], \"label\": \"potato\"},\n {\"box_2d\": [92, 292, 151, 319], \"label\": \"potato\"},\n {\"box_2d\": [149, 288, 229, 322], \"label\": \"potato\"},\n {\"box_2d\": [181, 242, 273, 281], \"label\": \"potato\"},\n {\"box_2d\": [74, 246, 158, 281], \"label\": \"potato\"},\n {\"box_2d\": [11, 253, 69, 277], \"label\": \"potato\"},\n {\"box_2d\": [104, 206, 184, 237], \"label\": \"potato\"},\n {\"box_2d\": [200, 162, 267, 191], \"label\": \"potato\"},\n {\"box_2d\": [108, 156, 202, 193], \"label\": \"potato\"},\n {\"box_2d\": [16, 170, 67, 190], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 2027, "elapsed_seconds": 25.352136083994992, "metadata": {"match_method": "map", "num_predictions": 60, "num_ground_truth": 60, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 26.0642}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 217, "image": "signatures_image_15_png_jpg.rf.6b815d82f5451daedc9c9077d66f9599.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [243, 75, 290, 400], \"label\": \"signature\"},\n {\"box_2d\": [230, 467, 279, 825], \"label\": \"signature\"},\n {\"box_2d\": [354, 71, 494, 433], \"label\": \"signature\"},\n {\"box_2d\": [414, 511, 479, 752], \"label\": \"signature\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 146, "elapsed_seconds": 8.091924792039208, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 8.2016}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 218, "image": "lot222_JPEG_jpg.rf.50df16e1f4326083fe341ec20a62dbe4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [529, 173, 560, 211], \"label\": \"chicory seed\"},\n {\"box_2d\": [477, 163, 517, 181], \"label\": \"chicory seed\"},\n {\"box_2d\": [411, 171, 431, 213], \"label\": \"chicory seed\"},\n {\"box_2d\": [430, 173, 448, 210], \"label\": \"chicory seed\"},\n {\"box_2d\": [395, 219, 424, 255], \"label\": \"chicory seed\"},\n {\"box_2d\": [413, 218, 441, 260], \"label\": \"chicory seed\"},\n {\"box_2d\": [444, 187, 476, 227], \"label\": \"chicory seed\"},\n {\"box_2d\": [468, 195, 488, 234], \"label\": \"chicory seed\"},\n {\"box_2d\": [434, 231, 461, 268], \"label\": \"chicory seed\"},\n {\"box_2d\": [455, 234, 491, 264], \"label\": \"chicory seed\"},\n {\"box_2d\": [486, 229, 515, 265], \"label\": \"chicory seed\"},\n {\"box_2d\": [512, 229, 539, 264], \"label\": \"chicory seed\"},\n {\"box_2d\": [563, 210, 588, 250], \"label\": \"chicory seed\"},\n {\"box_2d\": [642, 218, 684, 240], \"label\": \"chicory seed\"},\n {\"box_2d\": [696, 235, 728, 270], \"label\": \"chicory seed\"},\n {\"box_2d\": [703, 274, 740, 296], \"label\": \"chicory seed\"},\n {\"box_2d\": [741, 254, 769, 292], \"label\": \"chicory seed\"},\n {\"box_2d\": [725, 290, 765, 313], \"label\": \"chicory seed\"},\n {\"box_2d\": [765, 289, 781, 330], \"label\": \"chicory seed\"},\n {\"box_2d\": [769, 317, 807, 348], \"label\": \"chicory seed\"},\n {\"box_2d\": [709, 317, 747, 337], \"label\": \"chicory seed\"},\n {\"box_2d\": [685, 293, 710, 328], \"label\": \"chicory seed\"},\n {\"box_2d\": [727, 338, 744, 374], \"label\": \"chicory seed\"},\n {\"box_2d\": [798, 363, 813, 399], \"label\": \"chicory seed\"},\n {\"box_2d\": [812, 359, 836, 399], \"label\": \"chicory seed\"},\n {\"box_2d\": [763, 362, 785, 400], \"label\": \"chicory seed\"},\n {\"box_2d\": [735, 389, 773, 406], \"label\": \"chicory seed\"},\n {\"box_2d\": [776, 406, 816, 429], \"label\": \"chicory seed\"},\n {\"box_2d\": [779, 443, 816, 461], \"label\": \"chicory seed\"},\n {\"box_2d\": [769, 459, 811, 483], \"label\": \"chicory seed\"},\n {\"box_2d\": [791, 489, 829, 515], \"label\": \"chicory seed\"},\n {\"box_2d\": [786, 519, 811, 559], \"label\": \"chicory seed\"},\n {\"box_2d\": [814, 536, 833, 581], \"label\": \"chicory seed\"},\n {\"box_2d\": [740, 540, 777, 558], \"label\": \"chicory seed\"},\n {\"box_2d\": [719, 415, 739, 452], \"label\": \"chicory seed\"},\n {\"box_2d\": [711, 462, 748, 490], \"label\": \"chicory seed\"},\n {\"box_2d\": [748, 449, 773, 489], \"label\": \"chicory seed\"},\n {\"box_2d\": [761, 483, 785, 523], \"label\": \"chicory seed\"},\n {\"box_2d\": [742, 489, 760, 526], \"label\": \"chicory seed\"},\n {\"box_2d\": [718, 491, 744, 531], \"label\": \"chicory seed\"},\n {\"box_2d\": [702, 517, 740, 542], \"label\": \"chicory seed\"},\n {\"box_2d\": [682, 495, 718, 517], \"label\": \"chicory seed\"},\n {\"box_2d\": [670, 454, 703, 490], \"label\": \"chicory seed\"},\n {\"box_2d\": [661, 427, 699, 452], \"label\": \"chicory seed\"},\n {\"box_2d\": [652, 412, 692, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [654, 386, 695, 408], \"label\": \"chicory seed\"},\n {\"box_2d\": [668, 352, 702, 385], \"label\": \"chicory seed\"},\n {\"box_2d\": [649, 340, 681, 377], \"label\": \"chicory seed\"},\n {\"box_2d\": [641, 316, 675, 353], \"label\": \"chicory seed\"},\n {\"box_2d\": [617, 298, 657, 319], \"label\": \"chicory seed\"},\n {\"box_2d\": [609, 259, 639, 294], \"label\": \"chicory seed\"},\n {\"box_2d\": [578, 256, 603, 294], \"label\": \"chicory seed\"},\n {\"box_2d\": [535, 248, 567, 286], \"label\": \"chicory seed\"},\n {\"box_2d\": [554, 286, 592, 313], \"label\": \"chicory seed\"},\n {\"box_2d\": [604, 308, 639, 347], \"label\": \"chicory seed\"},\n {\"box_2d\": [589, 311, 610, 353], \"label\": \"chicory seed\"},\n {\"box_2d\": [575, 321, 591, 363], \"label\": \"chicory seed\"},\n 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321, 572, 350], \"label\": \"chicory seed\"},\n {\"box_2d\": [546, 349, 580, 372], \"label\": \"chicory seed\"},\n {\"box_2d\": [545, 367, 564, 408], \"label\": \"chicory seed\"},\n {\"box_2d\": [568, 371, 591, 411], \"label\": \"chicory seed\"},\n {\"box_2d\": [581, 366, 615, 404], \"label\": \"chicory seed\"},\n {\"box_2d\": [592, 354, 634, 373], \"label\": \"chicory seed\"},\n {\"box_2d\": [613, 370, 651, 391], \"label\": \"chicory seed\"},\n {\"box_2d\": [629, 379, 669, 406], \"label\": \"chicory seed\"},\n {\"box_2d\": [607, 393, 629, 433], \"label\": \"chicory seed\"},\n {\"box_2d\": [617, 411, 646, 450], \"label\": \"chicory seed\"},\n {\"box_2d\": [582, 404, 614, 442], \"label\": \"chicory seed\"},\n {\"box_2d\": [558, 406, 591, 443], \"label\": \"chicory seed\"},\n {\"box_2d\": [547, 429, 566, 471], \"label\": \"chicory seed\"},\n {\"box_2d\": [579, 445, 616, 466], \"label\": \"chicory seed\"},\n {\"box_2d\": [560, 468, 600, 491], \"label\": \"chicory seed\"},\n {\"box_2d\": [546, 479, 582, 502], \"label\": \"chicory seed\"},\n {\"box_2d\": [532, 502, 575, 523], \"label\": \"chicory seed\"},\n {\"box_2d\": [519, 545, 553, 582], \"label\": \"chicory seed\"},\n {\"box_2d\": [535, 536, 571, 571], \"label\": \"chicory seed\"},\n {\"box_2d\": [552, 527, 592, 558], \"label\": \"chicory seed\"},\n {\"box_2d\": [547, 576, 572, 616], \"label\": \"chicory seed\"},\n {\"box_2d\": [568, 582, 589, 623], \"label\": \"chicory seed\"},\n {\"box_2d\": [571, 559, 608, 590], \"label\": \"chicory seed\"},\n {\"box_2d\": [577, 496, 598, 538], \"label\": \"chicory seed\"},\n {\"box_2d\": [595, 527, 621, 567], \"label\": \"chicory seed\"},\n {\"box_2d\": [618, 526, 646, 567], \"label\": \"chicory seed\"},\n {\"box_2d\": [633, 546, 663, 585], \"label\": \"chicory seed\"},\n {\"box_2d\": [596, 490, 615, 523], \"label\": \"chicory seed\"},\n {\"box_2d\": [601, 454, 626, 493], \"label\": \"chicory seed\"},\n {\"box_2d\": [615, 490, 646, 527], \"label\": \"chicory seed\"},\n {\"box_2d\": [626, 437, 659, 474], \"label\": \"chicory seed\"},\n {\"box_2d\": [624, 460, 663, 490], \"label\": \"chicory seed\"},\n {\"box_2d\": [637, 478, 676, 499], \"label\": \"chicory seed\"},\n {\"box_2d\": [644, 498, 682, 519], \"label\": \"chicory seed\"},\n {\"box_2d\": [654, 519, 691, 545], \"label\": \"chicory seed\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 10812, "elapsed_seconds": 82.46283270802815, "metadata": {"match_method": "map", "num_predictions": 300, "num_ground_truth": 299, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3366336524486542, "attempts": 1, "retries": 0, "total_seconds": 82.5997}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 219, "image": "66_png.rf.39bf6d177f61078e6d35cc7449f636fc.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [32, 260, 94, 308], \"label\": \"not gate symbol\"},\n {\"box_2d\": [248, 108, 321, 152], \"label\": \"not gate symbol\"},\n {\"box_2d\": [250, 161, 320, 204], \"label\": \"not gate symbol\"},\n {\"box_2d\": [410, 504, 483, 547], \"label\": \"not gate symbol\"},\n {\"box_2d\": [659, 260, 720, 308], \"label\": \"not gate symbol\"},\n {\"box_2d\": [906, 260, 967, 308], \"label\": \"not gate symbol\"},\n {\"box_2d\": [155, 253, 237, 332], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [174, 567, 256, 648], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [326, 253, 408, 333], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [478, 567, 560, 648], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [631, 567, 712, 648], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [554, 777, 636, 858], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [781, 567, 864, 648], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [801, 777, 882, 858], \"label\": \"nand gate symbol\"}\n]\n```", "correct": true, "input_tokens": 1222, "output_tokens": 514, "elapsed_seconds": 6.3520351249026135, "metadata": {"match_method": "map", "num_predictions": 14, "num_ground_truth": 14, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 6.3623}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 220, "image": "car-part-detection_Car-damages-1497_png_jpg.rf.e852cda680508c1a167266952897c9ec.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [540, 81, 756, 179], \"label\": \"back bumper\"},\n {\"box_2d\": [426, 98, 543, 165], \"label\": \"tail light\"},\n {\"box_2d\": [266, 125, 405, 206], \"label\": \"back windshield\"},\n {\"box_2d\": [248, 250, 426, 474], \"label\": \"back window\"},\n {\"box_2d\": [236, 232, 734, 504], \"label\": \"back door\"},\n {\"box_2d\": [254, 507, 463, 735], \"label\": \"front window\"},\n {\"box_2d\": [401, 739, 463, 767], \"label\": \"mirror\"},\n {\"box_2d\": [238, 485, 728, 783], \"label\": \"front door\"},\n {\"box_2d\": [256, 632, 364, 781], \"label\": \"windshield\"},\n {\"box_2d\": [391, 838, 475, 950], \"label\": \"hood\"},\n {\"box_2d\": [450, 898, 540, 976], \"label\": \"headlight\"},\n {\"box_2d\": [534, 926, 744, 991], \"label\": \"front bumper\"}\n]\n```", "correct": true, "input_tokens": 1232, "output_tokens": 428, "elapsed_seconds": 5.3627710830187425, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 14, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8754124641418457, "attempts": 1, "retries": 0, "total_seconds": 5.3874}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 221, "image": "51_jpg.rf.058febb668fb3dcd1ddaf96ac46d336e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [584, 333, 697, 569], \"label\": \"blood sample tube\"},\n {\"box_2d\": [48, 281, 166, 517], \"label\": \"blood sample tube\"},\n {\"box_2d\": [166, 569, 300, 811], \"label\": \"blood sample tube\"},\n {\"box_2d\": [105, 522, 228, 762], \"label\": \"blood sample tube\"},\n {\"box_2d\": [88, 661, 159, 916], \"label\": \"blood sample tube\"},\n {\"box_2d\": [278, 653, 567, 811], \"label\": \"blood sample tube\"},\n {\"box_2d\": [483, 612, 672, 850], \"label\": \"blood sample tube\"},\n {\"box_2d\": [380, 472, 656, 639], \"label\": \"blood sample tube\"},\n {\"box_2d\": [583, 648, 756, 888], \"label\": \"blood sample tube\"},\n {\"box_2d\": [686, 412, 756, 655], \"label\": \"blood sample tube\"},\n {\"box_2d\": [525, 327, 634, 566], \"label\": \"blood sample tube\"},\n {\"box_2d\": [656, 195, 761, 442], \"label\": \"blood sample tube\"},\n {\"box_2d\": [350, 197, 636, 338], \"label\": \"blood sample tube\"},\n {\"box_2d\": [270, 278, 569, 405], \"label\": \"blood sample tube\"},\n {\"box_2d\": [147, 231, 400, 427], \"label\": \"blood sample tube\"},\n {\"box_2d\": [64, 194, 384, 241], \"label\": \"blood sample tube\"},\n {\"box_2d\": [181, 861, 495, 967], \"label\": \"blood sample tube\"},\n {\"box_2d\": [117, 777, 380, 956], \"label\": \"blood sample tube\"},\n {\"box_2d\": [39, 711, 100, 955], \"label\": \"blood sample tube\"},\n {\"box_2d\": [41, 467, 108, 711], \"label\": \"blood sample tube\"},\n {\"box_2d\": [167, 433, 319, 658], \"label\": \"blood sample tube\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 763, "elapsed_seconds": 9.167356749996543, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 21, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 9.1982}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 222, "image": "161056d_JPG_jpg.rf.9a7d680b73d40b7f57e4788c75d35faa.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [266, 395, 349, 530], \"label\": \"cracked insulator\"},\n {\"box_2d\": [468, 394, 558, 520], \"label\": \"cracked insulator\"}\n]\n```", "correct": false, "input_tokens": 1217, "output_tokens": 84, "elapsed_seconds": 12.902346541988663, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5049505233764648, "attempts": 1, "retries": 0, "total_seconds": 13.7505}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 223, "image": "signatures_image_176_png_jpg.rf.ba5b095c7ba79857b44be19e553b8621.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [592, 807, 635, 895], \"label\": \"signature\"},\n {\"box_2d\": [551, 656, 588, 717], \"label\": \"signature\"},\n {\"box_2d\": [562, 452, 598, 487], \"label\": \"signature\"},\n {\"box_2d\": [576, 184, 612, 223], \"label\": \"signature\"},\n {\"box_2d\": [529, 184, 581, 260], \"label\": \"signature\"}\n]\n```", "correct": true, "input_tokens": 1228, "output_tokens": 182, "elapsed_seconds": 8.200486165937036, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 8.4683}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 224, "image": "floorplan-windows-doors_10363_png.rf.022a393bcce41347db46c0ae8f821ac1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [729, 349, 804, 419], \"label\": \"door\"},\n {\"box_2d\": [644, 369, 699, 434], \"label\": \"door\"},\n {\"box_2d\": [592, 267, 639, 358], \"label\": \"door\"},\n {\"box_2d\": [459, 83, 591, 95], \"label\": \"window\"},\n {\"box_2d\": [485, 692, 535, 706], \"label\": \"window\"},\n {\"box_2d\": [600, 693, 672, 706], \"label\": \"window\"},\n {\"box_2d\": [537, 635, 588, 705], \"label\": \"door\"},\n {\"box_2d\": [108, 86, 194, 98], \"label\": \"window\"},\n {\"box_2d\": [174, 246, 227, 302], \"label\": \"door\"},\n {\"box_2d\": [328, 88, 355, 100], \"label\": \"window\"},\n {\"box_2d\": [206, 313, 241, 356], \"label\": \"door\"},\n {\"box_2d\": [248, 389, 293, 440], \"label\": \"door\"},\n {\"box_2d\": [259, 528, 304, 593], \"label\": \"door\"},\n {\"box_2d\": [283, 693, 319, 706], \"label\": \"window\"},\n {\"box_2d\": [129, 691, 165, 705], \"label\": \"window\"},\n {\"box_2d\": [169, 638, 221, 761], \"label\": \"door\"},\n {\"box_2d\": [169, 444, 222, 502], \"label\": \"door\"}\n]\n```", "correct": false, "input_tokens": 1223, "output_tokens": 585, "elapsed_seconds": 9.598536957986653, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 19, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6108911037445068, "attempts": 1, "retries": 0, "total_seconds": 9.6566}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 225, "image": "paper-parts_194472_30_jpg.rf.b0a602d4dcc7284ce0bac985bedfd7a6.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [93, 176, 213, 882], \"label\": \"paragraph\"},\n {\"box_2d\": [233, 176, 248, 417], \"label\": \"paragraph\"},\n {\"box_2d\": [267, 176, 352, 882], \"label\": \"paragraph\"},\n {\"box_2d\": [380, 415, 530, 703], \"label\": \"figure\"},\n {\"box_2d\": [552, 447, 567, 671], \"label\": \"figure caption\"},\n {\"box_2d\": [592, 235, 606, 511], \"label\": \"paragraph\"},\n {\"box_2d\": [586, 536, 622, 680], \"label\": \"equation\"},\n {\"box_2d\": [630, 403, 665, 655], \"label\": \"equation\"},\n {\"box_2d\": [669, 453, 697, 605], \"label\": \"equation\"},\n {\"box_2d\": [703, 456, 739, 882], \"label\": \"equation\"},\n {\"box_2d\": [748, 176, 798, 882], \"label\": \"paragraph\"},\n {\"box_2d\": [826, 235, 840, 509], \"label\": \"paragraph\"},\n {\"box_2d\": [817, 514, 860, 646], \"label\": \"equation\"},\n {\"box_2d\": [868, 389, 882, 667], \"label\": \"equation\"},\n {\"box_2d\": [886, 521, 899, 538], \"label\": \"page number\"}\n]\n```", "correct": false, "input_tokens": 1248, "output_tokens": 523, "elapsed_seconds": 6.539604583056644, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7413860559463501, "attempts": 1, "retries": 0, "total_seconds": 6.581}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 226, "image": "IMG_6641_jpeg_jpg.rf.d4a1ba083ff18ae1c9807cc69a86b03e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [566, 2, 598, 198], \"label\": \"blue poker chip\"},\n {\"box_2d\": [593, 2, 616, 196], \"label\": \"blue poker chip\"},\n {\"box_2d\": [610, 2, 635, 196], \"label\": \"blue poker chip\"},\n {\"box_2d\": [626, 2, 653, 195], \"label\": \"blue poker chip\"},\n {\"box_2d\": [644, 0, 671, 196], \"label\": \"blue poker chip\"},\n {\"box_2d\": [659, 0, 689, 196], \"label\": \"blue poker chip\"},\n {\"box_2d\": [676, 1, 708, 196], \"label\": \"blue poker chip\"},\n {\"box_2d\": [676, 195, 711, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [659, 196, 692, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [641, 196, 673, 377], \"label\": \"green poker chip\"},\n {\"box_2d\": [625, 195, 656, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [607, 195, 638, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [592, 196, 619, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [577, 196, 601, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [560, 196, 585, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [546, 196, 567, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [529, 196, 550, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [512, 196, 533, 379], \"label\": \"green poker chip\"},\n {\"box_2d\": [427, 384, 452, 562], \"label\": \"red poker chip\"},\n {\"box_2d\": [445, 383, 469, 562], \"label\": \"red poker chip\"},\n {\"box_2d\": [461, 383, 483, 563], \"label\": \"red poker chip\"},\n {\"box_2d\": [478, 383, 499, 564], \"label\": \"red poker chip\"},\n {\"box_2d\": [495, 383, 515, 564], \"label\": \"red poker chip\"},\n {\"box_2d\": [512, 382, 533, 564], \"label\": \"red poker chip\"},\n {\"box_2d\": [529, 383, 550, 565], \"label\": \"red poker chip\"},\n {\"box_2d\": [544, 383, 567, 565], \"label\": \"red poker chip\"},\n {\"box_2d\": [560, 383, 584, 566], \"label\": \"red poker chip\"},\n {\"box_2d\": [577, 384, 601, 565], \"label\": \"red poker chip\"},\n {\"box_2d\": [593, 385, 619, 566], \"label\": \"red poker chip\"},\n {\"box_2d\": [610, 385, 638, 565], \"label\": \"red poker chip\"},\n {\"box_2d\": [625, 385, 656, 565], \"label\": \"red poker chip\"},\n {\"box_2d\": [641, 385, 673, 566], \"label\": \"red poker chip\"},\n {\"box_2d\": [656, 385, 691, 566], \"label\": \"red poker chip\"},\n {\"box_2d\": [673, 385, 709, 568], \"label\": \"red poker chip\"},\n {\"box_2d\": [666, 571, 703, 762], \"label\": \"white poker chip\"},\n {\"box_2d\": [650, 571, 686, 762], \"label\": \"white poker chip\"},\n {\"box_2d\": [635, 572, 667, 761], \"label\": \"white poker chip\"},\n {\"box_2d\": [620, 572, 649, 761], \"label\": \"white poker chip\"},\n {\"box_2d\": [604, 571, 630, 760], \"label\": \"white poker chip\"},\n {\"box_2d\": [588, 570, 612, 759], \"label\": \"white poker chip\"},\n {\"box_2d\": [571, 570, 594, 759], \"label\": \"white poker chip\"},\n {\"box_2d\": [551, 569, 576, 758], \"label\": \"white poker chip\"},\n {\"box_2d\": [555, 756, 617, 960], \"label\": \"orange poker chip\"},\n {\"box_2d\": [585, 756, 636, 960], \"label\": \"orange poker chip\"},\n {\"box_2d\": [607, 757, 654, 960], \"label\": \"orange poker chip\"},\n {\"box_2d\": [625, 758, 672, 962], \"label\": \"orange poker chip\"},\n {\"box_2d\": [640, 758, 689, 963], \"label\": \"orange poker chip\"},\n {\"box_2d\": [656, 760, 708, 964], \"label\": \"orange poker chip\"},\n {\"box_2d\": [672, 760, 728, 964], \"label\": \"orange poker chip\"}\n]\n```", "correct": true, "input_tokens": 1243, "output_tokens": 1762, "elapsed_seconds": 14.297235541045666, "metadata": {"match_method": "map", "num_predictions": 49, "num_ground_truth": 49, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 14.3236}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 227, "image": "69_jpg.rf.832734e487772068d6b9bf469788de8f.jpg", "expected": "", "predicted": "```json\n[{\"box_2d\": [535, 481, 745, 700], \"label\": \"blood sample tube\"}, {\"box_2d\": [439, 493, 520, 735], \"label\": \"blood sample tube\"}, {\"box_2d\": [348, 281, 409, 518], \"label\": \"blood sample tube\"}, {\"box_2d\": [79, 589, 403, 634], \"label\": \"blood sample tube\"}, {\"box_2d\": [17, 634, 323, 746], \"label\": \"blood sample tube\"}]```", "correct": true, "input_tokens": 1227, "output_tokens": 176, "elapsed_seconds": 3.564404624979943, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 3.5786}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 228, "image": "uav20221018_ixfZ_3857_431_png.rf.d4d8056faccd6284b96584515af21de0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [72, 249, 102, 275], \"label\": \"banana tree\"},\n {\"box_2d\": [35, 182, 83, 226], \"label\": \"banana tree\"},\n {\"box_2d\": [0, 241, 41, 286], \"label\": \"banana tree\"},\n {\"box_2d\": [2, 434, 48, 471], \"label\": \"banana tree\"},\n {\"box_2d\": [36, 493, 83, 529], \"label\": \"banana tree\"},\n {\"box_2d\": [73, 425, 114, 478], \"label\": \"banana tree\"},\n {\"box_2d\": [110, 496, 139, 523], \"label\": \"banana tree\"},\n {\"box_2d\": [141, 438, 181, 483], \"label\": \"banana tree\"},\n {\"box_2d\": [178, 496, 211, 535], \"label\": \"banana tree\"},\n {\"box_2d\": [209, 441, 249, 488], \"label\": \"banana tree\"},\n {\"box_2d\": [238, 493, 287, 529], \"label\": \"banana tree\"},\n {\"box_2d\": [0, 711, 31, 750], \"label\": \"banana tree\"},\n {\"box_2d\": [21, 663, 55, 699], \"label\": \"banana tree\"},\n {\"box_2d\": [59, 715, 97, 752], \"label\": \"banana tree\"},\n {\"box_2d\": [91, 665, 128, 702], \"label\": \"banana tree\"},\n {\"box_2d\": [128, 718, 162, 758], \"label\": \"banana tree\"},\n {\"box_2d\": [166, 669, 198, 698], \"label\": \"banana tree\"},\n {\"box_2d\": [199, 719, 232, 752], \"label\": \"banana tree\"},\n {\"box_2d\": [230, 672, 263, 704], \"label\": \"banana tree\"},\n {\"box_2d\": [266, 722, 302, 751], \"label\": \"banana tree\"},\n {\"box_2d\": [306, 677, 344, 707], \"label\": \"banana tree\"},\n {\"box_2d\": [336, 729, 371, 758], \"label\": \"banana tree\"},\n {\"box_2d\": [373, 675, 408, 705], \"label\": \"banana tree\"},\n {\"box_2d\": [39, 910, 69, 938], \"label\": \"banana tree\"},\n {\"box_2d\": [0, 962, 36, 987], \"label\": \"banana tree\"},\n {\"box_2d\": [66, 960, 108, 991], \"label\": \"banana tree\"},\n {\"box_2d\": [110, 902, 150, 939], \"label\": \"banana tree\"},\n {\"box_2d\": [138, 954, 178, 992], \"label\": \"banana tree\"},\n {\"box_2d\": [182, 916, 212, 949], \"label\": \"banana tree\"},\n {\"box_2d\": [254, 926, 286, 951], \"label\": \"banana tree\"},\n {\"box_2d\": [209, 962, 255, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [277, 976, 319, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [321, 927, 358, 962], \"label\": \"banana tree\"},\n {\"box_2d\": [388, 934, 428, 966], \"label\": \"banana tree\"},\n {\"box_2d\": [459, 939, 495, 972], \"label\": \"banana tree\"},\n {\"box_2d\": [526, 939, 559, 969], \"label\": \"banana tree\"},\n {\"box_2d\": [356, 976, 391, 1000], \"label\": \"banana tree\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 1284, "elapsed_seconds": 12.037208000081591, "metadata": {"match_method": "map", "num_predictions": 37, "num_ground_truth": 38, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9702970385551453, "attempts": 1, "retries": 0, "total_seconds": 12.1442}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 229, "image": "f39_jpg.rf.8a677bbf5bbbcde071dc3887db6e2b75.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 353, 370, 682], \"label\": \"wildfire\"},\n {\"box_2d\": [298, 650, 789, 1000], \"label\": \"wildfire\"},\n {\"box_2d\": [0, 444, 603, 949], \"label\": \"wildfire\"},\n {\"box_2d\": [0, 260, 232, 616], \"label\": \"wildfire\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 147, "elapsed_seconds": 4.954743416979909, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 5.0841}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 230, "image": "wood-log-detection_003_png_jpg.rf.34aeb3fc6262ec00696c0cc722964b3e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [56, 273, 108, 327], \"label\": \"log cross-section\"},\n {\"box_2d\": [50, 412, 117, 459], \"label\": \"log cross-section\"},\n {\"box_2d\": [75, 353, 128, 405], \"label\": \"log cross-section\"},\n {\"box_2d\": [88, 327, 114, 358], \"label\": \"log cross-section\"},\n {\"box_2d\": [92, 294, 134, 336], \"label\": \"log cross-section\"},\n {\"box_2d\": [88, 247, 130, 294], \"label\": \"log cross-section\"},\n {\"box_2d\": [111, 214, 152, 259], \"label\": \"log cross-section\"},\n {\"box_2d\": [117, 258, 159, 305], \"label\": \"log cross-section\"},\n {\"box_2d\": [103, 334, 153, 386], \"label\": \"log cross-section\"},\n {\"box_2d\": [103, 406, 152, 444], \"label\": \"log cross-section\"},\n {\"box_2d\": [112, 445, 152, 484], \"label\": \"log cross-section\"},\n {\"box_2d\": [111, 484, 161, 530], \"label\": \"log cross-section\"},\n {\"box_2d\": [109, 530, 150, 577], \"label\": \"log cross-section\"},\n {\"box_2d\": [108, 575, 169, 622], \"label\": \"log cross-section\"},\n {\"box_2d\": [83, 605, 145, 659], \"label\": \"log cross-section\"},\n {\"box_2d\": [134, 639, 173, 667], \"label\": \"log cross-section\"},\n {\"box_2d\": [144, 595, 195, 647], \"label\": \"log cross-section\"},\n {\"box_2d\": [134, 528, 195, 570], \"label\": \"log cross-section\"},\n {\"box_2d\": [141, 491, 194, 536], \"label\": \"log cross-section\"},\n {\"box_2d\": [139, 452, 189, 491], \"label\": \"log cross-section\"},\n {\"box_2d\": [142, 408, 188, 450], \"label\": \"log cross-section\"},\n {\"box_2d\": [136, 377, 194, 412], \"label\": \"log cross-section\"},\n {\"box_2d\": [136, 323, 191, 377], \"label\": \"log cross-section\"},\n {\"box_2d\": [131, 305, 155, 334], \"label\": \"log cross-section\"},\n {\"box_2d\": [148, 286, 200, 336], \"label\": \"log cross-section\"},\n {\"box_2d\": [139, 223, 191, 275], \"label\": \"log cross-section\"},\n {\"box_2d\": [130, 173, 180, 227], \"label\": \"log cross-section\"},\n {\"box_2d\": [166, 156, 203, 206], \"label\": \"log cross-section\"},\n {\"box_2d\": [169, 203, 211, 256], \"label\": \"log cross-section\"},\n {\"box_2d\": [188, 159, 241, 214], \"label\": \"log cross-section\"},\n {\"box_2d\": [230, 178, 298, 238], \"label\": \"log cross-section\"},\n {\"box_2d\": [202, 211, 300, 294], \"label\": \"log cross-section\"},\n {\"box_2d\": [164, 253, 214, 298], \"label\": \"log cross-section\"},\n {\"box_2d\": [200, 277, 291, 328], \"label\": \"log cross-section\"},\n {\"box_2d\": [202, 311, 289, 361], \"label\": \"log cross-section\"},\n {\"box_2d\": [177, 342, 214, 380], \"label\": \"log cross-section\"},\n {\"box_2d\": [202, 362, 242, 408], \"label\": \"log cross-section\"},\n {\"box_2d\": [184, 397, 216, 430], \"label\": \"log cross-section\"},\n {\"box_2d\": [180, 428, 219, 469], \"label\": \"log cross-section\"},\n {\"box_2d\": [205, 412, 233, 447], \"label\": \"log cross-section\"},\n {\"box_2d\": [223, 400, 302, 439], \"label\": \"log cross-section\"},\n {\"box_2d\": [236, 355, 308, 408], \"label\": \"log cross-section\"},\n {\"box_2d\": [203, 448, 244, 491], \"label\": \"log cross-section\"},\n {\"box_2d\": [184, 466, 203, 491], \"label\": \"log cross-section\"},\n {\"box_2d\": [189, 484, 234, 523], \"label\": \"log cross-section\"},\n {\"box_2d\": [186, 523, 206, 558], \"label\": \"log cross-section\"},\n {\"box_2d\": [202, 523, 250, 561], \"label\": \"log cross-section\"},\n {\"box_2d\": [177, 562, 223, 598], \"label\": \"log cross-section\"},\n {\"box_2d\": [219, 556, 258, 594], \"label\": \"log cross-section\"},\n {\"box_2d\": [189, 594, 242, 642], \"label\": \"log cross-section\"},\n {\"box_2d\": [123, 662, 189, 720], \"label\": \"log cross-section\"},\n {\"box_2d\": [167, 642, 225, 683], \"label\": \"log cross-section\"},\n {\"box_2d\": [184, 675, 209, 705], \"label\": \"log cross-section\"},\n {\"box_2d\": [200, 650, 256, 697], \"label\": \"log cross-section\"},\n {\"box_2d\": [206, 680, 247, 728], \"label\": \"log cross-section\"},\n {\"box_2d\": [244, 675, 294, 722], \"label\": \"log cross-section\"},\n {\"box_2d\": [261, 631, 314, 681], \"label\": \"log cross-section\"},\n {\"box_2d\": [227, 608, 275, 653], \"label\": \"log cross-section\"},\n {\"box_2d\": [255, 583, 309, 631], \"label\": \"log cross-section\"},\n {\"box_2d\": [248, 536, 314, 586], \"label\": \"log cross-section\"},\n {\"box_2d\": [230, 489, 286, 528], \"label\": \"log cross-section\"},\n {\"box_2d\": [231, 434, 312, 489], \"label\": \"log cross-section\"},\n {\"box_2d\": [306, 464, 344, 497], \"label\": \"log cross-section\"},\n {\"box_2d\": [300, 412, 342, 456], \"label\": \"log cross-section\"},\n {\"box_2d\": [327, 372, 348, 422], \"label\": \"log cross-section\"},\n {\"box_2d\": [309, 344, 345, 381], \"label\": \"log cross-section\"},\n {\"box_2d\": [294, 297, 327, 336], \"label\": \"log cross-section\"},\n {\"box_2d\": [325, 306, 350, 341], \"label\": \"log cross-section\"},\n {\"box_2d\": [294, 248, 331, 297], \"label\": \"log cross-section\"},\n {\"box_2d\": [303, 209, 350, 262], \"label\": \"log cross-section\"},\n {\"box_2d\": [330, 267, 350, 308], \"label\": \"log cross-section\"},\n {\"box_2d\": [331, 489, 347, 527], \"label\": \"log cross-section\"},\n {\"box_2d\": [302, 509, 344, 552], \"label\": \"log cross-section\"},\n {\"box_2d\": [317, 555, 345, 594], \"label\": \"log cross-section\"},\n {\"box_2d\": [309, 595, 344, 634], \"label\": \"log cross-section\"},\n {\"box_2d\": [303, 650, 338, 691], \"label\": \"log cross-section\"},\n {\"box_2d\": [331, 656, 341, 678], \"label\": \"log cross-section\"}\n]\n```", "correct": false, "input_tokens": 1228, "output_tokens": 2854, "elapsed_seconds": 25.558885917067528, "metadata": {"match_method": "map", "num_predictions": 77, "num_ground_truth": 78, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.16085301339626312, "attempts": 1, "retries": 0, "total_seconds": 25.583}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 231, "image": "basketball-player-detection_boston-celtics-new-york-knicks-game-1-q1-04-28-04-20-0185_png.rf.5bf3baa6a3ce5adfe29dab142647c8bc.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [504, 452, 795, 509], \"label\": \"player\"},\n {\"box_2d\": [520, 412, 871, 463], \"label\": \"player taking jump shot\"},\n {\"box_2d\": [349, 619, 610, 672], \"label\": \"player\"},\n {\"box_2d\": [294, 571, 514, 646], \"label\": \"player\"},\n {\"box_2d\": [244, 453, 462, 506], \"label\": \"player\"},\n {\"box_2d\": [179, 381, 376, 421], \"label\": \"player\"},\n {\"box_2d\": [297, 300, 506, 333], \"label\": \"player\"},\n {\"box_2d\": [377, 276, 604, 332], \"label\": \"player\"},\n {\"box_2d\": [342, 152, 550, 219], \"label\": \"player\"},\n {\"box_2d\": [254, 141, 457, 190], \"label\": \"player\"},\n {\"box_2d\": [213, 0, 415, 43], \"label\": \"referee\"},\n {\"box_2d\": [686, 555, 987, 630], \"label\": \"referee\"},\n {\"box_2d\": [258, 697, 467, 738], \"label\": \"referee\"},\n {\"box_2d\": [785, 589, 811, 604], \"label\": \"jersey number\"},\n {\"box_2d\": [652, 434, 678, 444], \"label\": \"jersey number\"},\n {\"box_2d\": [398, 645, 421, 654], \"label\": \"jersey number\"},\n {\"box_2d\": [235, 398, 252, 410], \"label\": \"jersey number\"},\n {\"box_2d\": [401, 184, 422, 193], \"label\": \"jersey number\"},\n {\"box_2d\": [310, 155, 331, 166], \"label\": \"jersey number\"},\n {\"box_2d\": [332, 470, 365, 487], \"label\": \"basketball\"},\n {\"box_2d\": [202, 622, 267, 659], \"label\": \"basket rim\"}\n]\n```", "correct": false, "input_tokens": 1251, "output_tokens": 736, "elapsed_seconds": 29.572246541967615, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 23, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7533003091812134, "attempts": 1, "retries": 0, "total_seconds": 29.7104}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 232, "image": "construction-safety_ppe_0016_jpg.rf.d53d80274c0b6fdd6cccc30b2f5316b2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [278, 745, 392, 855], \"label\": \"safety helmet\"},\n {\"box_2d\": [323, 62, 1000, 297], \"label\": \"person\"},\n {\"box_2d\": [328, 333, 424, 404], \"label\": \"safety helmet\"},\n {\"box_2d\": [461, 574, 801, 703], \"label\": \"safety vest\"},\n {\"box_2d\": [287, 137, 999, 293], \"label\": \"person\"},\n {\"box_2d\": [485, 691, 864, 797], \"label\": \"safety vest\"},\n {\"box_2d\": [328, 253, 954, 444], \"label\": \"person\"},\n {\"box_2d\": [322, 69, 434, 178], \"label\": \"safety helmet\"},\n {\"box_2d\": [478, 458, 787, 594], \"label\": \"safety vest\"},\n {\"box_2d\": [325, 446, 949, 593], \"label\": \"person\"},\n {\"box_2d\": [307, 573, 886, 718], \"label\": \"person\"},\n {\"box_2d\": [287, 184, 375, 259], \"label\": \"safety helmet\"},\n {\"box_2d\": [466, 747, 861, 902], \"label\": \"safety vest\"},\n {\"box_2d\": [280, 667, 1000, 903], \"label\": \"person\"},\n {\"box_2d\": [324, 485, 432, 573], \"label\": \"safety helmet\"},\n {\"box_2d\": [484, 259, 851, 442], \"label\": \"safety vest\"},\n {\"box_2d\": [362, 601, 880, 798], \"label\": \"person\"},\n {\"box_2d\": [362, 679, 464, 779], \"label\": \"safety helmet\"},\n {\"box_2d\": [307, 576, 393, 675], \"label\": \"safety helmet\"}\n]\n```", "correct": true, "input_tokens": 1222, "output_tokens": 670, "elapsed_seconds": 33.1662013749592, "metadata": {"match_method": "map", "num_predictions": 19, "num_ground_truth": 19, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 34.684}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 233, "image": "ind_jpeg_jpg.rf.838960e9a8a04626878832d54c63b122.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [769, 55, 833, 81], \"label\": \"dimension annotation\"},\n {\"box_2d\": [654, 339, 718, 402], \"label\": \"dimension annotation\"},\n {\"box_2d\": [661, 430, 715, 513], \"label\": \"dimension annotation\"},\n {\"box_2d\": [637, 686, 653, 725], \"label\": \"dimension annotation\"},\n {\"box_2d\": [637, 718, 653, 845], \"label\": \"dimension annotation\"},\n {\"box_2d\": [637, 838, 653, 875], \"label\": \"dimension annotation\"},\n {\"box_2d\": [727, 584, 790, 610], \"label\": \"dimension annotation\"},\n {\"box_2d\": [790, 583, 832, 608], \"label\": \"dimension annotation\"},\n {\"box_2d\": [765, 554, 782, 576], \"label\": \"dimension annotation\"},\n {\"box_2d\": [690, 936, 832, 962], \"label\": \"dimension annotation\"},\n {\"box_2d\": [368, 70, 429, 151], \"label\": \"dimension annotation\"},\n {\"box_2d\": [469, 66, 513, 128], \"label\": \"dimension annotation\"},\n {\"box_2d\": [558, 314, 575, 410], \"label\": \"dimension annotation\"},\n {\"box_2d\": [588, 171, 604, 410], \"label\": \"dimension annotation\"},\n {\"box_2d\": [357, 531, 400, 618], \"label\": \"dimension annotation\"},\n {\"box_2d\": [914, 207, 984, 978], \"label\": \"technical drawing table\"}\n]\n```", "correct": false, "input_tokens": 1233, "output_tokens": 569, "elapsed_seconds": 6.8124779999488965, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5086632966995239, "attempts": 1, "retries": 0, "total_seconds": 6.8267}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 234, "image": "frame_0102_jpg.rf.17d6c3b1d93b1bd2e8d8880687a7f794.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [960, 294, 1000, 319], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [858, 306, 908, 333], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [881, 366, 932, 394], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [898, 430, 947, 458], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [914, 493, 964, 521], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [746, 297, 796, 326], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [765, 358, 814, 386], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [781, 421, 833, 451], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [799, 487, 849, 515], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [686, 490, 738, 520], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [670, 425, 720, 456], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [653, 361, 703, 390], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [633, 301, 686, 329], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [525, 312, 575, 340], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [540, 372, 591, 401], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [556, 436, 608, 465], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [571, 501, 622, 530], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [416, 307, 463, 335], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [425, 366, 474, 395], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [433, 427, 483, 457], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [453, 490, 502, 519], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [349, 504, 394, 533], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [329, 441, 378, 470], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [322, 379, 369, 408], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [311, 322, 357, 348], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [213, 332, 260, 357], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [222, 389, 266, 417], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [229, 450, 275, 477], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [248, 508, 293, 536], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [119, 329, 161, 353], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [123, 384, 164, 411], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [128, 441, 171, 468], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [131, 499, 174, 526], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [44, 504, 83, 530], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [43, 448, 84, 473], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [37, 392, 76, 418], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [36, 338, 76, 362], \"label\": \"soda bottle cap\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 1337, "elapsed_seconds": 37.2732681670459, "metadata": {"match_method": "map", "num_predictions": 37, "num_ground_truth": 38, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9702970385551453, "attempts": 1, "retries": 0, "total_seconds": 37.8423}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 235, "image": "tile_559_jpg.rf.2e36153b3f0a023e43755fc06e0c32dc.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [742, 353, 756, 422], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [666, 667, 687, 747], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [886, 0, 905, 73], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [928, 778, 952, 856], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [958, 553, 980, 597], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [321, 253, 358, 345], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [213, 452, 237, 535], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [6, 326, 28, 375], \"label\": \"ship in SAR satellite image\"}\n]\n```", "correct": true, "input_tokens": 1229, "output_tokens": 310, "elapsed_seconds": 6.2036340000340715, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 6.2513}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 236, "image": "frame_0555_jpg.rf.e5603989fbc45aefce0b30f65bdbe361.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [785, 241, 864, 289], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [610, 232, 691, 280], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [461, 235, 535, 279], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [248, 255, 315, 292], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [80, 244, 144, 282], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [60, 349, 121, 391], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [163, 336, 233, 372], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [219, 353, 278, 389], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [298, 370, 365, 408], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [406, 356, 466, 394], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [493, 348, 558, 386], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [739, 348, 825, 392], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [798, 450, 882, 490], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [769, 486, 851, 527], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [375, 434, 440, 476], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [237, 441, 305, 478], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [26, 431, 80, 463], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 354, 43, 384], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 273, 41, 306], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [45, 537, 105, 570], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 595, 49, 622], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [138, 541, 198, 572], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [423, 653, 485, 694], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [465, 549, 526, 584], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [584, 579, 654, 622], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [729, 603, 802, 645], \"label\": \"garlic on conveyor\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 934, "elapsed_seconds": 20.607190166949295, "metadata": {"match_method": "map", "num_predictions": 26, "num_ground_truth": 23, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9699162244796753, "attempts": 1, "retries": 0, "total_seconds": 20.7469}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 237, "image": "DJI_0236_JPG_jpg.rf.d7ac178bd4662b9ae881e21c92284693.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [721, 556, 895, 626], \"label\": \"excavator\"},\n {\"box_2d\": [161, 822, 368, 946], \"label\": \"tower crane\"},\n {\"box_2d\": [201, 931, 845, 1000], \"label\": \"tower crane\"},\n {\"box_2d\": [461, 384, 492, 439], \"label\": \"dump truck\"},\n {\"box_2d\": [381, 543, 415, 561], \"label\": \"concrete mixer\"},\n {\"box_2d\": [417, 231, 444, 272], \"label\": \"dump truck\"}\n]\n```", "correct": true, "input_tokens": 1209, "output_tokens": 224, "elapsed_seconds": 67.55004470900167, "metadata": {"match_method": "map", "num_predictions": 6, "num_ground_truth": 6, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 68.7272}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 238, "image": "9999981_00000_d_0000108_jpg.rf.808757c317fef3db00edefab735a3c05.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [540, 325, 629, 377], \"label\": \"car\"},\n {\"box_2d\": [393, 570, 502, 687], \"label\": \"bus\"},\n {\"box_2d\": [368, 655, 424, 715], \"label\": \"car\"},\n {\"box_2d\": [288, 231, 360, 271], \"label\": \"car\"},\n {\"box_2d\": [259, 483, 323, 521], \"label\": \"car\"},\n {\"box_2d\": [210, 495, 272, 542], \"label\": \"car\"},\n {\"box_2d\": [199, 405, 265, 444], \"label\": \"car\"},\n {\"box_2d\": [82, 439, 147, 477], \"label\": \"car\"},\n {\"box_2d\": [58, 148, 170, 200], \"label\": \"truck\"},\n {\"box_2d\": [120, 21, 200, 60], \"label\": \"van\"},\n {\"box_2d\": [0, 403, 56, 440], \"label\": \"car\"},\n {\"box_2d\": [540, 738, 608, 809], \"label\": \"car\"},\n {\"box_2d\": [785, 735, 871, 795], \"label\": \"car\"},\n {\"box_2d\": [811, 761, 899, 818], \"label\": \"car\"},\n {\"box_2d\": [925, 452, 999, 528], \"label\": \"car\"},\n {\"box_2d\": [287, 58, 360, 93], \"label\": \"van\"},\n {\"box_2d\": [529, 130, 605, 169], \"label\": \"truck\"},\n {\"box_2d\": [368, 86, 425, 118], \"label\": \"car\"},\n {\"box_2d\": [909, 198, 980, 237], \"label\": \"tricycle\"},\n {\"box_2d\": [66, 9, 121, 41], \"label\": \"car\"},\n {\"box_2d\": [838, 173, 885, 205], \"label\": \"tricycle\"},\n {\"box_2d\": [864, 389, 902, 412], \"label\": \"motorcycle\"},\n {\"box_2d\": [888, 342, 913, 362], \"label\": \"motorcycle\"},\n {\"box_2d\": [863, 391, 894, 409], \"label\": \"person\"},\n {\"box_2d\": [905, 197, 932, 215], \"label\": \"person\"},\n {\"box_2d\": [306, 553, 333, 567], \"label\": \"person\"},\n {\"box_2d\": [928, 954, 962, 978], \"label\": \"motorcycle\"},\n {\"box_2d\": [468, 17, 488, 36], \"label\": \"person\"},\n {\"box_2d\": [838, 187, 872, 204], \"label\": \"person\"},\n {\"box_2d\": [707, 566, 731, 584], \"label\": \"bike\"}\n]\n```", "correct": false, "input_tokens": 1214, "output_tokens": 1018, "elapsed_seconds": 13.702986750053242, "metadata": {"match_method": "map", "num_predictions": 30, "num_ground_truth": 46, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.4448543190956116, "attempts": 1, "retries": 0, "total_seconds": 13.8091}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 239, "image": "egg-detection_image381_jpg.rf.26b6182b9e6a29f3cd96c54029e234f8.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [708, 479, 770, 517], \"label\": \"egg\"},\n {\"box_2d\": [712, 417, 767, 456], \"label\": \"egg\"},\n {\"box_2d\": [678, 383, 738, 419], \"label\": \"egg\"},\n {\"box_2d\": [590, 302, 645, 338], \"label\": \"egg\"},\n {\"box_2d\": [532, 316, 597, 349], \"label\": \"egg\"},\n {\"box_2d\": [308, 427, 377, 458], \"label\": \"egg\"},\n {\"box_2d\": [244, 419, 309, 455], \"label\": \"egg\"},\n {\"box_2d\": [244, 465, 303, 505], \"label\": \"egg\"},\n {\"box_2d\": [290, 481, 353, 518], \"label\": \"egg\"},\n {\"box_2d\": [265, 559, 333, 592], \"label\": \"egg\"},\n {\"box_2d\": [165, 371, 220, 408], \"label\": \"egg\"},\n {\"box_2d\": [92, 385, 148, 421], \"label\": \"egg\"},\n {\"box_2d\": [64, 427, 125, 456], \"label\": \"egg\"},\n {\"box_2d\": [14, 433, 66, 465], \"label\": \"egg\"},\n {\"box_2d\": [31, 471, 91, 501], \"label\": \"egg\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 516, "elapsed_seconds": 10.518823750084266, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 10.666}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 240, "image": "A16150-1C_2025_NCPT-175_JPG_jpg.rf.2c6e330d745fc218d09f761944d1e142.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [13, 249, 98, 275], \"label\": \"potato\"},\n {\"box_2d\": [96, 248, 163, 273], \"label\": \"potato\"},\n {\"box_2d\": [7, 296, 56, 315], \"label\": \"potato\"},\n {\"box_2d\": [54, 294, 106, 317], \"label\": \"potato\"},\n {\"box_2d\": [104, 287, 162, 314], \"label\": \"potato\"},\n {\"box_2d\": [161, 285, 240, 315], \"label\": \"potato\"},\n {\"box_2d\": [238, 285, 315, 316], \"label\": \"potato\"},\n {\"box_2d\": [410, 280, 515, 317], \"label\": \"potato\"},\n {\"box_2d\": [577, 284, 646, 310], \"label\": \"potato\"},\n {\"box_2d\": [647, 275, 740, 315], \"label\": \"potato\"},\n {\"box_2d\": [748, 284, 816, 308], \"label\": \"potato\"},\n {\"box_2d\": [920, 283, 988, 311], \"label\": \"potato\"},\n {\"box_2d\": [920, 325, 1000, 350], \"label\": \"potato\"},\n {\"box_2d\": [776, 326, 853, 353], \"label\": \"potato\"},\n {\"box_2d\": [699, 326, 777, 355], \"label\": \"potato\"},\n {\"box_2d\": [515, 324, 594, 355], \"label\": \"potato\"},\n {\"box_2d\": [439, 329, 517, 359], \"label\": \"potato\"},\n {\"box_2d\": [332, 323, 421, 359], \"label\": \"potato\"},\n {\"box_2d\": [239, 324, 333, 360], \"label\": \"potato\"},\n {\"box_2d\": [169, 329, 241, 359], \"label\": \"potato\"},\n {\"box_2d\": [91, 330, 170, 361], \"label\": \"potato\"},\n {\"box_2d\": [5, 331, 91, 365], \"label\": \"potato\"},\n {\"box_2d\": [19, 378, 92, 409], \"label\": \"potato\"},\n {\"box_2d\": [110, 373, 189, 404], \"label\": \"potato\"},\n {\"box_2d\": [189, 375, 265, 405], \"label\": \"potato\"},\n {\"box_2d\": [264, 375, 349, 409], \"label\": \"potato\"},\n {\"box_2d\": [334, 364, 386, 388], \"label\": \"potato\"},\n {\"box_2d\": [381, 368, 487, 405], \"label\": \"potato\"},\n {\"box_2d\": [482, 370, 575, 407], \"label\": \"potato\"},\n {\"box_2d\": [686, 368, 761, 398], \"label\": \"potato\"},\n {\"box_2d\": [759, 367, 847, 398], \"label\": \"potato\"},\n {\"box_2d\": [918, 364, 999, 399], \"label\": \"potato\"},\n {\"box_2d\": [686, 411, 777, 443], \"label\": \"potato\"},\n {\"box_2d\": [602, 411, 687, 445], \"label\": \"potato\"},\n {\"box_2d\": [525, 415, 603, 448], \"label\": \"potato\"},\n {\"box_2d\": [437, 416, 526, 448], \"label\": \"potato\"},\n {\"box_2d\": [348, 415, 437, 448], \"label\": \"potato\"},\n {\"box_2d\": [193, 416, 274, 451], \"label\": \"potato\"},\n {\"box_2d\": [86, 414, 195, 460], \"label\": \"potato\"},\n {\"box_2d\": [6, 414, 87, 453], \"label\": \"potato\"},\n {\"box_2d\": [6, 466, 80, 495], \"label\": \"potato\"},\n {\"box_2d\": [81, 466, 139, 494], \"label\": \"potato\"},\n {\"box_2d\": [138, 456, 255, 497], \"label\": \"potato\"},\n {\"box_2d\": [264, 463, 333, 490], \"label\": \"potato\"},\n {\"box_2d\": [336, 460, 411, 488], \"label\": \"potato\"},\n {\"box_2d\": [408, 461, 502, 496], \"label\": \"potato\"},\n {\"box_2d\": [729, 453, 825, 495], \"label\": \"potato\"},\n {\"box_2d\": [914, 456, 993, 486], \"label\": \"potato\"},\n {\"box_2d\": [681, 496, 798, 545], \"label\": \"potato\"},\n {\"box_2d\": [493, 497, 588, 535], \"label\": \"potato\"},\n {\"box_2d\": [243, 506, 338, 546], \"label\": \"potato\"},\n {\"box_2d\": [139, 507, 243, 544], \"label\": \"potato\"},\n {\"box_2d\": [75, 507, 139, 537], \"label\": \"potato\"},\n {\"box_2d\": [4, 508, 76, 537], \"label\": \"potato\"},\n {\"box_2d\": [5, 551, 79, 583], \"label\": \"potato\"},\n {\"box_2d\": [151, 550, 231, 583], \"label\": \"potato\"},\n {\"box_2d\": [230, 551, 319, 581], \"label\": \"potato\"},\n {\"box_2d\": [492, 548, 568, 581], \"label\": \"potato\"},\n {\"box_2d\": [686, 548, 745, 572], \"label\": \"potato\"},\n {\"box_2d\": [786, 541, 876, 579], \"label\": \"potato\"},\n {\"box_2d\": [922, 541, 1000, 573], \"label\": \"potato\"},\n {\"box_2d\": [647, 585, 729, 619], \"label\": \"potato\"},\n {\"box_2d\": [307, 593, 419, 636], \"label\": \"potato\"},\n {\"box_2d\": [169, 596, 256, 628], \"label\": \"potato\"},\n {\"box_2d\": [68, 595, 173, 632], \"label\": \"potato\"},\n {\"box_2d\": [2, 596, 69, 628], \"label\": \"potato\"},\n {\"box_2d\": [0, 629, 86, 666], \"label\": \"potato\"},\n {\"box_2d\": [85, 639, 158, 668], \"label\": \"potato\"},\n {\"box_2d\": [158, 639, 232, 669], \"label\": \"potato\"},\n {\"box_2d\": [256, 640, 320, 667], \"label\": \"potato\"},\n {\"box_2d\": [370, 637, 439, 666], \"label\": \"potato\"},\n {\"box_2d\": [508, 637, 575, 662], \"label\": \"potato\"},\n {\"box_2d\": [815, 625, 938, 663], \"label\": \"potato\"},\n {\"box_2d\": [60, 683, 132, 712], \"label\": \"potato\"},\n {\"box_2d\": [13, 727, 98, 761], \"label\": \"potato\"},\n {\"box_2d\": [520, 722, 608, 761], \"label\": \"potato\"},\n {\"box_2d\": [441, 766, 517, 795], \"label\": \"potato\"},\n {\"box_2d\": [287, 767, 355, 790], \"label\": \"potato\"},\n {\"box_2d\": [21, 813, 82, 842], \"label\": \"potato\"},\n {\"box_2d\": [329, 810, 386, 835], \"label\": \"potato\"},\n {\"box_2d\": [315, 850, 391, 877], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 2727, "elapsed_seconds": 50.59846708399709, "metadata": {"match_method": "map", "num_predictions": 81, "num_ground_truth": 81, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 51.3255}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 241, "image": "lot251_JPEG_jpg.rf.5ae906b5fd537b40c5fabb806ecf5fd9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [178, 342, 200, 381], \"label\": \"chicory seed\"},\n {\"box_2d\": [199, 281, 224, 323], \"label\": \"chicory seed\"},\n {\"box_2d\": [223, 250, 252, 283], \"label\": \"chicory seed\"},\n {\"box_2d\": [230, 261, 259, 297], \"label\": \"chicory seed\"},\n {\"box_2d\": [202, 319, 224, 355], \"label\": \"chicory seed\"},\n {\"box_2d\": [221, 300, 258, 328], \"label\": \"chicory seed\"},\n {\"box_2d\": [248, 288, 284, 315], \"label\": \"chicory seed\"},\n {\"box_2d\": [264, 241, 286, 280], \"label\": \"chicory seed\"},\n {\"box_2d\": [266, 276, 298, 308], \"label\": \"chicory seed\"},\n {\"box_2d\": [283, 193, 313, 229], \"label\": \"chicory seed\"},\n {\"box_2d\": [295, 209, 319, 248], \"label\": \"chicory seed\"},\n {\"box_2d\": [326, 207, 346, 245], \"label\": \"chicory seed\"},\n {\"box_2d\": [350, 174, 381, 210], \"label\": \"chicory seed\"},\n {\"box_2d\": [351, 203, 384, 232], \"label\": \"chicory seed\"},\n {\"box_2d\": [374, 212, 394, 254], \"label\": \"chicory seed\"},\n {\"box_2d\": [400, 158, 439, 176], \"label\": \"chicory seed\"},\n {\"box_2d\": [404, 179, 444, 206], \"label\": \"chicory seed\"},\n {\"box_2d\": [408, 194, 446, 222], \"label\": \"chicory seed\"},\n {\"box_2d\": [411, 217, 446, 245], \"label\": \"chicory seed\"},\n {\"box_2d\": [457, 150, 495, 169], \"label\": \"chicory seed\"},\n {\"box_2d\": [453, 185, 470, 228], \"label\": \"chicory seed\"},\n {\"box_2d\": [474, 197, 492, 238], \"label\": \"chicory seed\"},\n {\"box_2d\": [498, 185, 518, 219], \"label\": \"chicory seed\"},\n {\"box_2d\": [504, 141, 532, 180], \"label\": \"chicory seed\"},\n {\"box_2d\": [530, 143, 553, 187], \"label\": \"chicory seed\"},\n {\"box_2d\": [559, 147, 587, 184], \"label\": \"chicory seed\"},\n {\"box_2d\": [565, 166, 599, 199], \"label\": \"chicory seed\"},\n {\"box_2d\": [563, 195, 598, 226], \"label\": \"chicory seed\"},\n {\"box_2d\": [575, 208, 612, 239], \"label\": \"chicory seed\"},\n {\"box_2d\": [502, 209, 538, 234], \"label\": \"chicory seed\"},\n {\"box_2d\": [534, 223, 571, 250], \"label\": \"chicory seed\"},\n {\"box_2d\": [503, 236, 540, 259], \"label\": \"chicory seed\"},\n {\"box_2d\": [456, 241, 494, 267], \"label\": \"chicory seed\"},\n {\"box_2d\": [453, 261, 490, 293], \"label\": \"chicory seed\"},\n {\"box_2d\": [450, 290, 488, 316], \"label\": \"chicory seed\"},\n {\"box_2d\": [492, 263, 513, 303], \"label\": \"chicory seed\"},\n {\"box_2d\": [518, 252, 539, 292], \"label\": \"chicory seed\"},\n {\"box_2d\": [536, 253, 559, 293], \"label\": \"chicory seed\"},\n {\"box_2d\": [558, 257, 580, 295], \"label\": \"chicory seed\"},\n {\"box_2d\": [421, 246, 451, 281], \"label\": \"chicory seed\"},\n {\"box_2d\": [401, 239, 426, 280], \"label\": \"chicory seed\"},\n {\"box_2d\": [405, 280, 441, 302], \"label\": \"chicory seed\"},\n {\"box_2d\": [364, 263, 398, 293], \"label\": \"chicory seed\"},\n {\"box_2d\": [365, 281, 403, 307], \"label\": \"chicory seed\"},\n {\"box_2d\": [336, 242, 372, 264], \"label\": \"chicory seed\"},\n {\"box_2d\": [324, 259, 365, 283], \"label\": \"chicory seed\"},\n {\"box_2d\": [301, 269, 336, 303], \"label\": \"chicory seed\"},\n {\"box_2d\": [298, 283, 319, 323], \"label\": \"chicory seed\"},\n {\"box_2d\": [274, 311, 296, 350], \"label\": \"chicory seed\"},\n {\"box_2d\": [213, 336, 249, 365], \"label\": \"chicory seed\"},\n {\"box_2d\": [186, 362, 211, 405], \"label\": \"chicory seed\"},\n {\"box_2d\": [208, 367, 230, 408], \"label\": \"chicory seed\"},\n {\"box_2d\": [224, 355, 263, 376], \"label\": \"chicory seed\"},\n {\"box_2d\": [196, 424, 231, 459], \"label\": \"chicory seed\"},\n {\"box_2d\": [219, 397, 252, 436], \"label\": \"chicory seed\"},\n {\"box_2d\": [238, 375, 258, 417], \"label\": \"chicory seed\"},\n {\"box_2d\": [259, 372, 280, 412], \"label\": \"chicory seed\"},\n {\"box_2d\": [276, 336, 311, 371], \"label\": \"chicory seed\"},\n {\"box_2d\": [278, 374, 297, 411], \"label\": \"chicory seed\"},\n {\"box_2d\": [296, 364, 324, 404], \"label\": \"chicory seed\"},\n {\"box_2d\": [313, 321, 333, 365], \"label\": \"chicory seed\"},\n {\"box_2d\": [329, 284, 361, 322], \"label\": \"chicory seed\"},\n {\"box_2d\": [354, 309, 391, 333], \"label\": \"chicory seed\"},\n {\"box_2d\": [336, 338, 367, 375], \"label\": \"chicory seed\"},\n {\"box_2d\": [323, 361, 349, 399], \"label\": \"chicory seed\"},\n {\"box_2d\": [362, 333, 389, 371], \"label\": \"chicory seed\"},\n {\"box_2d\": [381, 326, 412, 364], \"label\": \"chicory seed\"},\n {\"box_2d\": [393, 312, 425, 347], \"label\": \"chicory seed\"},\n {\"box_2d\": [425, 305, 446, 344], \"label\": \"chicory seed\"},\n {\"box_2d\": [408, 355, 448, 389], \"label\": \"chicory seed\"},\n {\"box_2d\": [429, 345, 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seed\"},\n {\"box_2d\": [618, 375, 658, 406], \"label\": \"chicory seed\"},\n {\"box_2d\": [589, 407, 621, 446], \"label\": \"chicory seed\"},\n {\"box_2d\": [608, 411, 642, 448], \"label\": \"chicory seed\"},\n {\"box_2d\": [605, 448, 624, 490], \"label\": \"chicory seed\"},\n {\"box_2d\": [626, 424, 659, 462], \"label\": \"chicory seed\"},\n {\"box_2d\": [647, 427, 681, 464], \"label\": \"chicory seed\"},\n {\"box_2d\": [657, 404, 695, 429], \"label\": \"chicory seed\"},\n {\"box_2d\": [655, 371, 681, 410], \"label\": \"chicory seed\"},\n {\"box_2d\": [646, 328, 669, 370], \"label\": \"chicory seed\"},\n {\"box_2d\": [657, 301, 686, 341], \"label\": \"chicory seed\"},\n {\"box_2d\": [680, 303, 703, 344], \"label\": \"chicory seed\"},\n {\"box_2d\": [672, 342, 709, 372], \"label\": \"chicory seed\"},\n {\"box_2d\": [703, 322, 735, 359], \"label\": \"chicory seed\"},\n {\"box_2d\": [723, 319, 751, 357], \"label\": \"chicory seed\"},\n {\"box_2d\": [696, 358, 718, 404], \"label\": 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\"label\": \"chicory seed\"},\n {\"box_2d\": [626, 559, 663, 586], \"label\": \"chicory seed\"},\n {\"box_2d\": [640, 585, 672, 623], \"label\": \"chicory seed\"},\n {\"box_2d\": [666, 520, 701, 558], \"label\": \"chicory seed\"},\n {\"box_2d\": [673, 483, 703, 523], \"label\": \"chicory seed\"},\n {\"box_2d\": [692, 450, 730, 479], \"label\": \"chicory seed\"},\n {\"box_2d\": [693, 486, 718, 527], \"label\": \"chicory seed\"},\n {\"box_2d\": [718, 461, 747, 503], \"label\": \"chicory seed\"},\n {\"box_2d\": [735, 463, 769, 501], \"label\": \"chicory seed\"},\n {\"box_2d\": [711, 498, 745, 535], \"label\": \"chicory seed\"},\n {\"box_2d\": [743, 502, 770, 543], \"label\": \"chicory seed\"},\n {\"box_2d\": [755, 484, 785, 526], \"label\": \"chicory seed\"},\n {\"box_2d\": [773, 474, 807, 511], \"label\": \"chicory seed\"},\n {\"box_2d\": [761, 526, 798, 558], \"label\": \"chicory seed\"},\n {\"box_2d\": [697, 552, 734, 577], \"label\": \"chicory seed\"},\n {\"box_2d\": [730, 541, 754, 584], \"label\": \"chicory seed\"},\n {\"box_2d\": [680, 602, 706, 645], \"label\": \"chicory seed\"},\n {\"box_2d\": [696, 645, 734, 667], \"label\": \"chicory seed\"},\n {\"box_2d\": [716, 579, 741, 621], \"label\": \"chicory seed\"},\n {\"box_2d\": [738, 578, 769, 616], \"label\": \"chicory seed\"},\n {\"box_2d\": [750, 591, 783, 629], \"label\": \"chicory seed\"},\n {\"box_2d\": [730, 622, 753, 665], \"label\": \"chicory seed\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 10812, "elapsed_seconds": 85.45883741695434, "metadata": {"match_method": "map", "num_predictions": 300, "num_ground_truth": 300, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3366336524486542, "attempts": 1, "retries": 0, "total_seconds": 85.5782}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 242, "image": "4105625_ContRightUpper_f_jpg.rf.262f5072bce0f2365a2193d631224fd1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [329, 0, 608, 255], \"label\": \"shipping container wall dent\"}\n]\n```", "correct": false, "input_tokens": 1255, "output_tokens": 47, "elapsed_seconds": 8.84487504104618, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 8.9936}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 243, "image": "18_jpeg_jpg.rf.b131f08c745acace9daeeea095e0d1ef.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [500, 1, 686, 60], \"label\": \"potato\"},\n {\"box_2d\": [84, 21, 189, 108], \"label\": \"potato\"},\n {\"box_2d\": [301, 179, 389, 260], \"label\": \"potato\"},\n {\"box_2d\": [494, 237, 619, 323], \"label\": \"potato\"},\n {\"box_2d\": [703, 143, 811, 248], \"label\": \"potato\"},\n {\"box_2d\": [906, 149, 1000, 253], \"label\": \"potato\"},\n {\"box_2d\": [729, 357, 818, 476], \"label\": \"potato\"},\n {\"box_2d\": [496, 449, 594, 535], \"label\": \"potato\"},\n {\"box_2d\": [92, 445, 178, 540], \"label\": \"potato\"},\n {\"box_2d\": [500, 613, 604, 699], \"label\": \"potato\"},\n {\"box_2d\": [719, 543, 818, 628], \"label\": \"potato\"},\n {\"box_2d\": [713, 665, 818, 748], \"label\": \"potato\"},\n {\"box_2d\": [906, 596, 1000, 692], \"label\": \"potato\"},\n {\"box_2d\": [871, 916, 986, 1000], \"label\": \"potato\"},\n {\"box_2d\": [689, 936, 795, 1000], \"label\": \"potato\"},\n {\"box_2d\": [500, 876, 596, 956], \"label\": \"potato\"},\n {\"box_2d\": [283, 845, 404, 967], \"label\": \"potato\"},\n {\"box_2d\": [90, 888, 211, 987], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1240, "output_tokens": 621, "elapsed_seconds": 9.956818415899761, "metadata": {"match_method": "map", "num_predictions": 18, "num_ground_truth": 18, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 10.0028}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 244, "image": "lot312_JPEG_jpg.rf.6c72b39304c1a45a005f911f32e89494.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [191, 315, 217, 355], \"label\": \"chicory seed\"},\n {\"box_2d\": [151, 381, 180, 419], \"label\": \"chicory seed\"},\n {\"box_2d\": [204, 529, 232, 567], \"label\": \"chicory seed\"},\n {\"box_2d\": [273, 736, 297, 777], \"label\": \"chicory seed\"},\n {\"box_2d\": [392, 419, 419, 456], \"label\": \"chicory seed\"},\n {\"box_2d\": [319, 158, 344, 194], \"label\": \"chicory seed\"},\n {\"box_2d\": [450, 111, 473, 141], \"label\": \"chicory seed\"},\n {\"box_2d\": [567, 444, 594, 481], \"label\": \"chicory seed\"},\n {\"box_2d\": [615, 123, 639, 160], \"label\": \"chicory seed\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 336, "elapsed_seconds": 16.5410940409638, "metadata": {"match_method": "map", "num_predictions": 9, "num_ground_truth": 291, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 16.7685}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 245, "image": "DJI_0271_JPG_jpg.rf.58c0e5179915be4446df421b02825d3d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [553, 791, 718, 912], \"label\": \"excavator\"},\n {\"box_2d\": [323, 682, 355, 735], \"label\": \"excavator\"},\n {\"box_2d\": [0, 358, 1000, 622], \"label\": \"tower crane\"},\n {\"box_2d\": [185, 790, 232, 827], \"label\": \"dump truck\"}\n]\n```", "correct": true, "input_tokens": 1206, "output_tokens": 153, "elapsed_seconds": 100.60203812504187, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 6, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8349834084510803, "attempts": 1, "retries": 0, "total_seconds": 101.9082}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 246, "image": "IMG_3900_JPG.rf.5ee75659ac02193213ba7636038947a4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [500, 93, 581, 211], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [590, 136, 681, 261], \"label\": \"10 poker chip\"},\n {\"box_2d\": [513, 206, 595, 323], \"label\": \"100 poker chip\"},\n {\"box_2d\": [405, 154, 478, 265], \"label\": \"500 poker chip\"},\n {\"box_2d\": [415, 266, 488, 376], \"label\": \"10 poker chip\"},\n {\"box_2d\": [358, 320, 425, 425], \"label\": \"10 poker chip\"},\n {\"box_2d\": [468, 326, 546, 439], \"label\": \"500 poker chip\"},\n {\"box_2d\": [566, 286, 653, 408], \"label\": \"10 poker chip\"},\n {\"box_2d\": [699, 252, 803, 386], \"label\": \"20 poker chip\"},\n {\"box_2d\": [631, 356, 728, 483], \"label\": \"10 poker chip\"},\n {\"box_2d\": [718, 399, 825, 533], \"label\": \"10 poker chip\"},\n {\"box_2d\": [742, 529, 852, 667], \"label\": \"100 poker chip\"},\n {\"box_2d\": [593, 470, 684, 594], \"label\": \"50 poker chip\"},\n {\"box_2d\": [525, 393, 608, 510], \"label\": \"10 poker chip\"},\n {\"box_2d\": [428, 424, 502, 533], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [368, 486, 437, 592], \"label\": \"5 poker chip\"},\n {\"box_2d\": [325, 566, 390, 669], \"label\": \"50 poker chip\"},\n {\"box_2d\": [393, 638, 463, 747], \"label\": \"10000 poker chip\"},\n {\"box_2d\": [458, 683, 536, 798], \"label\": \"50 poker chip\"},\n {\"box_2d\": [503, 599, 585, 715], \"label\": \"100 poker chip\"},\n {\"box_2d\": [482, 489, 562, 603], \"label\": \"100 poker chip\"},\n {\"box_2d\": [581, 616, 671, 740], \"label\": \"5 poker chip\"},\n {\"box_2d\": [689, 639, 792, 773], \"label\": \"100 poker chip\"},\n {\"box_2d\": [623, 738, 718, 868], \"label\": \"100 poker chip\"},\n {\"box_2d\": [540, 740, 625, 863], \"label\": \"100 poker chip\"}\n]\n```", "correct": true, "input_tokens": 1252, "output_tokens": 950, "elapsed_seconds": 54.75829895900097, "metadata": {"match_method": "map", "num_predictions": 25, "num_ground_truth": 25, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 55.7943}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 247, "image": "9AAEA6F5-FD0E-47BE-8596-0D85E5F62F1A_jpg.rf.7b7e8cbfdfc78f2c2cad6219290c51d6.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [757, 631, 800, 721], \"label\": \"pill\"},\n {\"box_2d\": [718, 642, 764, 730], \"label\": \"pill\"},\n {\"box_2d\": [685, 639, 725, 728], \"label\": \"pill\"},\n {\"box_2d\": [794, 289, 845, 381], \"label\": \"pill\"},\n {\"box_2d\": [694, 286, 752, 376], \"label\": \"pill\"},\n {\"box_2d\": [600, 363, 692, 396], \"label\": \"pill\"},\n {\"box_2d\": [556, 355, 589, 444], \"label\": \"pill\"},\n {\"box_2d\": [520, 388, 559, 476], \"label\": \"pill\"},\n {\"box_2d\": [465, 443, 538, 513], \"label\": \"pill\"},\n {\"box_2d\": [451, 358, 537, 405], \"label\": \"pill\"},\n {\"box_2d\": [443, 329, 530, 373], \"label\": \"pill\"},\n {\"box_2d\": [496, 252, 574, 323], \"label\": \"pill\"},\n {\"box_2d\": [446, 168, 536, 207], \"label\": \"pill\"},\n {\"box_2d\": [380, 187, 447, 265], \"label\": \"pill\"},\n {\"box_2d\": [263, 206, 344, 259], \"label\": \"pill\"},\n {\"box_2d\": [171, 213, 209, 299], \"label\": \"pill\"},\n {\"box_2d\": [138, 182, 189, 266], \"label\": \"pill\"},\n {\"box_2d\": [138, 269, 195, 349], \"label\": \"pill\"},\n {\"box_2d\": [165, 410, 246, 453], \"label\": \"pill\"},\n {\"box_2d\": [244, 373, 300, 453], \"label\": \"pill\"},\n {\"box_2d\": [165, 467, 236, 534], \"label\": \"pill\"},\n {\"box_2d\": [162, 543, 205, 624], \"label\": \"pill\"},\n {\"box_2d\": [155, 687, 223, 756], \"label\": \"pill\"},\n {\"box_2d\": [92, 729, 173, 764], \"label\": \"pill\"},\n {\"box_2d\": [297, 433, 381, 484], \"label\": \"pill\"},\n {\"box_2d\": [287, 473, 341, 553], \"label\": \"pill\"},\n {\"box_2d\": [320, 485, 377, 563], \"label\": \"pill\"},\n {\"box_2d\": [351, 521, 434, 566], \"label\": \"pill\"},\n {\"box_2d\": [316, 568, 401, 600], \"label\": \"pill\"},\n {\"box_2d\": [313, 600, 398, 631], \"label\": \"pill\"},\n {\"box_2d\": [337, 629, 422, 662], \"label\": \"pill\"},\n {\"box_2d\": [334, 662, 419, 695], \"label\": \"pill\"},\n {\"box_2d\": [296, 690, 381, 722], \"label\": \"pill\"},\n {\"box_2d\": [295, 721, 375, 777], \"label\": \"pill\"},\n {\"box_2d\": [361, 707, 445, 752], \"label\": \"pill\"},\n {\"box_2d\": [378, 738, 463, 779], \"label\": \"pill\"},\n {\"box_2d\": [468, 728, 548, 787], \"label\": \"pill\"},\n {\"box_2d\": [562, 749, 648, 804], \"label\": \"pill\"},\n {\"box_2d\": [588, 726, 672, 781], \"label\": \"pill\"},\n {\"box_2d\": [556, 685, 642, 730], \"label\": \"pill\"},\n {\"box_2d\": [519, 619, 597, 684], \"label\": \"pill\"},\n {\"box_2d\": [466, 575, 528, 653], \"label\": \"pill\"},\n {\"box_2d\": [442, 549, 511, 621], \"label\": \"pill\"},\n {\"box_2d\": [402, 529, 469, 602], \"label\": \"pill\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 1507, "elapsed_seconds": 52.10903133300599, "metadata": {"match_method": "map", "num_predictions": 44, "num_ground_truth": 44, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 52.7674}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 248, "image": "DJI_0237_JPG_jpg.rf.cb5e6b368dca69cc9b7bc36fb47fd6fb.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [585, 560, 750, 622], \"label\": \"excavator\"},\n {\"box_2d\": [381, 864, 434, 954], \"label\": \"concrete mixer\"},\n {\"box_2d\": [274, 224, 303, 272], \"label\": \"dump truck\"},\n {\"box_2d\": [300, 180, 333, 232], \"label\": \"dump truck\"},\n {\"box_2d\": [3, 833, 224, 976], \"label\": \"tower crane\"}\n]\n```", "correct": false, "input_tokens": 1209, "output_tokens": 186, "elapsed_seconds": 26.2280024579959, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 7, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7524752020835876, "attempts": 1, "retries": 0, "total_seconds": 27.451}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071022", "index": 249, "image": "42ba34_9_9_png_jpg.rf.30ad6b17178011a7360591145cf422a2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [757, 891, 825, 910], \"label\": \"referee\"},\n {\"box_2d\": [423, 479, 467, 489], \"label\": \"referee\"},\n {\"box_2d\": [617, 678, 675, 694], \"label\": \"player\"},\n {\"box_2d\": [546, 697, 599, 714], \"label\": \"player\"},\n {\"box_2d\": [443, 675, 488, 686], \"label\": \"player\"},\n {\"box_2d\": [399, 592, 443, 600], \"label\": \"player\"},\n {\"box_2d\": [387, 717, 440, 725], \"label\": \"player\"},\n {\"box_2d\": [323, 658, 357, 667], \"label\": \"player\"},\n {\"box_2d\": [315, 567, 345, 576], \"label\": \"player\"},\n {\"box_2d\": [472, 504, 520, 519], \"label\": \"player\"},\n {\"box_2d\": [383, 481, 417, 493], \"label\": \"player\"},\n {\"box_2d\": [401, 452, 439, 461], \"label\": \"player\"},\n {\"box_2d\": [406, 456, 450, 466], \"label\": \"player\"},\n {\"box_2d\": [512, 438, 561, 449], \"label\": \"player\"},\n {\"box_2d\": [588, 316, 637, 326], \"label\": \"player\"},\n {\"box_2d\": [615, 256, 664, 267], \"label\": \"player\"},\n {\"box_2d\": [477, 200, 525, 209], \"label\": \"player\"},\n {\"box_2d\": [468, 166, 512, 179], \"label\": \"player\"},\n {\"box_2d\": [377, 20, 417, 31], \"label\": \"goalkeeper\"},\n {\"box_2d\": [357, 319, 396, 328], \"label\": \"player\"},\n {\"box_2d\": [368, 307, 405, 319], \"label\": \"player\"},\n {\"box_2d\": [301, 410, 333, 416], \"label\": \"player\"},\n {\"box_2d\": [266, 311, 275, 316], \"label\": \"referee\"},\n {\"box_2d\": [383, 478, 390, 481], \"label\": \"football\"}\n]\n```", "correct": false, "input_tokens": 1242, "output_tokens": 830, "elapsed_seconds": 10.127751791966148, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5297029614448547, "attempts": 1, "retries": 0, "total_seconds": 10.2527}} diff --git a/results/detection_gemini-4-argon_low_20261013_071120.jsonl b/results/detection_gemini-4-argon_low_20261013_071120.jsonl new file mode 100644 index 0000000..871b904 --- /dev/null +++ b/results/detection_gemini-4-argon_low_20261013_071120.jsonl @@ -0,0 +1,250 @@ +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 0, "image": "Screenshot-2024-05-16-144612_png.rf.ae5a345319058fdba768605388143544.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [774, 703, 801, 732], \"label\": \"bullet hole\"},\n {\"box_2d\": [832, 573, 862, 608], \"label\": \"bullet hole\"},\n {\"box_2d\": [821, 458, 848, 488], \"label\": \"bullet hole\"},\n {\"box_2d\": [869, 434, 892, 461], \"label\": \"bullet hole\"},\n {\"box_2d\": [955, 687, 987, 725], \"label\": \"bullet hole\"},\n {\"box_2d\": [955, 892, 984, 921], \"label\": \"bullet hole\"},\n {\"box_2d\": [841, 892, 868, 921], \"label\": \"bullet hole\"},\n {\"box_2d\": [577, 888, 604, 916], \"label\": \"bullet hole\"},\n {\"box_2d\": [529, 967, 554, 995], \"label\": \"bullet hole\"},\n {\"box_2d\": [522, 827, 545, 855], \"label\": \"bullet hole\"},\n {\"box_2d\": [456, 891, 483, 919], \"label\": \"bullet hole\"},\n {\"box_2d\": [417, 969, 444, 1000], \"label\": \"bullet hole\"},\n {\"box_2d\": [404, 761, 431, 789], \"label\": \"bullet hole\"},\n {\"box_2d\": [365, 549, 391, 577], \"label\": \"bullet hole\"},\n {\"box_2d\": [288, 549, 315, 576], \"label\": \"bullet hole\"},\n {\"box_2d\": [216, 549, 237, 578], \"label\": \"bullet hole\"},\n {\"box_2d\": [275, 835, 297, 858], \"label\": \"bullet hole\"},\n {\"box_2d\": [121, 833, 144, 858], \"label\": \"bullet hole\"},\n {\"box_2d\": [163, 259, 190, 290], \"label\": \"bullet hole\"},\n {\"box_2d\": [244, 272, 271, 300], \"label\": \"bullet hole\"},\n {\"box_2d\": [350, 286, 376, 314], \"label\": \"bullet hole\"},\n {\"box_2d\": [418, 294, 444, 323], \"label\": \"bullet hole\"},\n {\"box_2d\": [566, 464, 594, 493], \"label\": \"bullet hole\"},\n {\"box_2d\": [650, 391, 678, 424], \"label\": \"bullet hole\"},\n {\"box_2d\": [711, 314, 728, 333], \"label\": \"bullet hole\"},\n {\"box_2d\": [617, 72, 640, 99], \"label\": \"bullet hole\"},\n {\"box_2d\": [836, 41, 857, 70], \"label\": \"bullet hole\"},\n {\"box_2d\": [895, 159, 913, 184], \"label\": \"bullet hole\"},\n {\"box_2d\": [821, 233, 848, 260], \"label\": \"bullet hole\"}\n]\n```", "correct": false, "input_tokens": 1226, "output_tokens": 1024, "elapsed_seconds": 11.02100391604472, "metadata": {"match_method": "map", "num_predictions": 29, "num_ground_truth": 29, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.4594876766204834, "attempts": 1, "retries": 0, "total_seconds": 11.0477}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 1, "image": "img_462887999701516572_png.rf.318af6a4e9ad42c15e8fcc520375ad9b.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [723, 114, 818, 286], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [646, 134, 725, 303], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [692, 275, 780, 439], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [733, 415, 829, 578], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [704, 566, 797, 731], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [739, 722, 833, 901], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [661, 710, 743, 885], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [632, 568, 706, 724], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [657, 427, 736, 583], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [620, 294, 692, 447], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [576, 159, 646, 319], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [552, 312, 620, 459], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [588, 438, 658, 586], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [563, 571, 632, 719], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [592, 702, 661, 868], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [526, 697, 593, 855], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [499, 573, 565, 713], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [523, 444, 589, 586], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [490, 323, 554, 464], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [512, 181, 578, 329], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [453, 198, 517, 339], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [432, 333, 494, 464], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [463, 452, 525, 584], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [441, 572, 502, 704], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [467, 695, 529, 839], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [410, 687, 475, 825], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [387, 570, 448, 697], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [409, 455, 467, 581], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [381, 349, 442, 473], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [400, 217, 462, 348], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [351, 238, 412, 359], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [306, 256, 366, 368], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [289, 368, 344, 474], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [334, 357, 389, 473], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [311, 468, 365, 577], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [358, 464, 413, 581], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [339, 573, 394, 693], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [294, 574, 351, 685], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [314, 681, 372, 798], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [360, 687, 421, 811], \"label\": \"full portable gas cylinder\"}\n]\n```", "correct": true, "input_tokens": 1217, "output_tokens": 1492, "elapsed_seconds": 43.993793125031516, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 40, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 44.2982}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 2, "image": "basketball-player-detection_boston-celtics-new-york-knicks-game-1-q1-03-16-03-11-0135_png.rf.87404d3bb76bef98d9e926e5ec1e2966.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [746, 879, 999, 965], \"label\": \"player\"},\n {\"box_2d\": [654, 722, 955, 821], \"label\": \"player\"},\n {\"box_2d\": [727, 777, 761, 801], \"label\": \"jersey number\"},\n {\"box_2d\": [410, 799, 688, 851], \"label\": \"player\"},\n {\"box_2d\": [273, 672, 505, 736], \"label\": \"player\"},\n {\"box_2d\": [336, 703, 362, 712], \"label\": \"jersey number\"},\n {\"box_2d\": [833, 412, 1000, 470], \"label\": \"referee\"},\n {\"box_2d\": [898, 429, 926, 444], \"label\": \"jersey number\"},\n {\"box_2d\": [628, 348, 904, 417], \"label\": \"player\"},\n {\"box_2d\": [703, 377, 732, 391], \"label\": \"jersey number\"},\n {\"box_2d\": [459, 412, 697, 488], \"label\": \"player\"},\n {\"box_2d\": [371, 369, 603, 434], \"label\": \"player\"},\n {\"box_2d\": [291, 319, 623, 371], \"label\": \"player doing layup dunk\"},\n {\"box_2d\": [368, 283, 646, 393], \"label\": \"player\"},\n {\"box_2d\": [266, 307, 297, 336], \"label\": \"basket rim\"},\n {\"box_2d\": [265, 291, 300, 308], \"label\": \"basketball\"}\n]\n```", "correct": false, "input_tokens": 1256, "output_tokens": 567, "elapsed_seconds": 14.831442583003081, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 19, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5799151062965393, "attempts": 1, "retries": 0, "total_seconds": 14.9689}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 3, "image": "fall-detection_all_mp4-1653_jpg.rf.9fa9a5ca42070b76929d3ba6ab91e945.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [512, 428, 623, 588], \"label\": \"fallen person\"},\n {\"box_2d\": [468, 355, 535, 513], \"label\": \"fallen person\"},\n {\"box_2d\": [417, 212, 479, 340], \"label\": \"fallen person\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 117, "elapsed_seconds": 5.30509970895946, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 5.3281}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 4, "image": "Screenshot-2024-05-16-150857_png.rf.d53edfaec65ba17dbc56ff856e70ed0d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [779, 365, 811, 396], \"label\": \"bullet hole\"},\n {\"box_2d\": [796, 0, 829, 20], \"label\": \"bullet hole\"},\n {\"box_2d\": [468, 141, 502, 173], \"label\": \"bullet hole\"},\n {\"box_2d\": [689, 720, 722, 752], \"label\": \"bullet hole\"},\n {\"box_2d\": [614, 405, 646, 439], \"label\": \"bullet hole\"},\n {\"box_2d\": [407, 919, 438, 949], \"label\": \"bullet hole\"},\n {\"box_2d\": [336, 321, 368, 353], \"label\": \"bullet hole\"},\n {\"box_2d\": [920, 629, 950, 661], \"label\": \"bullet hole\"},\n {\"box_2d\": [952, 976, 986, 1000], \"label\": \"bullet hole\"},\n {\"box_2d\": [436, 309, 466, 339], \"label\": \"bullet hole\"},\n {\"box_2d\": [68, 628, 100, 659], \"label\": \"bullet hole\"},\n {\"box_2d\": [982, 182, 1000, 211], \"label\": \"bullet hole\"},\n {\"box_2d\": [27, 460, 53, 490], \"label\": \"bullet hole\"},\n {\"box_2d\": [623, 0, 653, 24], \"label\": \"bullet hole\"},\n {\"box_2d\": [0, 744, 20, 773], \"label\": \"bullet hole\"},\n {\"box_2d\": [290, 60, 326, 93], \"label\": \"bullet hole\"},\n {\"box_2d\": [546, 963, 577, 994], \"label\": \"bullet hole\"},\n {\"box_2d\": [607, 879, 639, 910], \"label\": \"bullet hole\"},\n {\"box_2d\": [206, 888, 238, 918], \"label\": \"bullet hole\"},\n {\"box_2d\": [110, 824, 142, 855], \"label\": \"bullet hole\"},\n {\"box_2d\": [810, 809, 838, 839], \"label\": \"bullet hole\"},\n {\"box_2d\": [520, 540, 550, 571], \"label\": \"bullet hole\"},\n {\"box_2d\": [57, 517, 87, 549], \"label\": \"bullet hole\"},\n {\"box_2d\": [681, 265, 714, 296], \"label\": \"bullet hole\"},\n {\"box_2d\": [890, 184, 922, 215], \"label\": \"bullet hole\"},\n {\"box_2d\": [434, 670, 464, 703], \"label\": \"bullet hole\"},\n {\"box_2d\": [797, 226, 831, 259], \"label\": \"bullet hole\"},\n {\"box_2d\": [986, 523, 1000, 553], \"label\": \"bullet hole\"},\n {\"box_2d\": [135, 208, 167, 239], \"label\": \"bullet hole\"},\n {\"box_2d\": [116, 318, 151, 350], \"label\": \"bullet hole\"},\n {\"box_2d\": [708, 565, 742, 598], \"label\": \"bullet hole\"},\n {\"box_2d\": [160, 617, 190, 649], \"label\": \"bullet hole\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 1119, "elapsed_seconds": 11.750613583019003, "metadata": {"match_method": "map", "num_predictions": 32, "num_ground_truth": 32, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 11.7792}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 5, "image": "oil-tank-detection_oiltank_9_jpg.rf.acb372553a5f5f447313e4035eef562f.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [117, 100, 232, 200], \"label\": \"oil tank\"},\n {\"box_2d\": [109, 232, 226, 333], \"label\": \"oil tank\"},\n {\"box_2d\": [106, 366, 221, 466], \"label\": \"oil tank\"},\n {\"box_2d\": [103, 500, 217, 598], \"label\": \"oil tank\"},\n {\"box_2d\": [96, 628, 215, 731], \"label\": \"oil tank\"},\n {\"box_2d\": [92, 761, 208, 864], \"label\": \"oil tank\"},\n {\"box_2d\": [271, 102, 386, 203], \"label\": \"oil tank\"},\n {\"box_2d\": [266, 237, 380, 337], \"label\": \"oil tank\"},\n {\"box_2d\": [258, 370, 376, 471], \"label\": \"oil tank\"},\n {\"box_2d\": [251, 506, 368, 606], \"label\": \"oil tank\"},\n {\"box_2d\": [248, 634, 368, 739], \"label\": \"oil tank\"},\n {\"box_2d\": [243, 769, 360, 874], \"label\": \"oil tank\"},\n {\"box_2d\": [484, 98, 603, 206], \"label\": \"oil tank\"},\n {\"box_2d\": [478, 236, 598, 342], \"label\": \"oil tank\"},\n {\"box_2d\": [474, 370, 594, 478], \"label\": \"oil tank\"},\n {\"box_2d\": [468, 506, 588, 613], \"label\": \"oil tank\"},\n {\"box_2d\": [461, 643, 580, 749], \"label\": \"oil tank\"},\n {\"box_2d\": [626, 370, 750, 481], \"label\": \"oil tank\"},\n {\"box_2d\": [622, 511, 744, 618], \"label\": \"oil tank\"},\n {\"box_2d\": [617, 649, 738, 757], \"label\": \"oil tank\"}\n]\n```", "correct": true, "input_tokens": 1217, "output_tokens": 709, "elapsed_seconds": 10.16190941608511, "metadata": {"match_method": "map", "num_predictions": 20, "num_ground_truth": 20, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 10.2415}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 6, "image": "signatures_image_38_png_jpg.rf.1d9c4bd922f8563e58275de808cd3984.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [363, 748, 408, 851], \"label\": \"signature\"},\n {\"box_2d\": [860, 761, 908, 898], \"label\": \"signature\"},\n {\"box_2d\": [438, 646, 467, 703], \"label\": \"signature\"},\n {\"box_2d\": [952, 636, 982, 694], \"label\": \"signature\"}\n]\n```", "correct": false, "input_tokens": 1211, "output_tokens": 148, "elapsed_seconds": 4.862861083005555, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5643564462661743, "attempts": 1, "retries": 0, "total_seconds": 4.8929}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 7, "image": "1704193901210_jpg.rf.2395376f26cee29d85e60b22c59c37b4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [575, 262, 636, 305], \"label\": \"corn kernel\"},\n {\"box_2d\": [406, 316, 475, 369], \"label\": \"corn kernel\"},\n {\"box_2d\": [539, 427, 588, 491], \"label\": \"corn kernel\"},\n {\"box_2d\": [266, 411, 327, 469], \"label\": \"corn kernel\"},\n {\"box_2d\": [309, 528, 355, 600], \"label\": \"corn kernel\"},\n {\"box_2d\": [416, 619, 477, 681], \"label\": \"corn kernel\"},\n {\"box_2d\": [617, 562, 677, 611], \"label\": \"corn kernel\"},\n {\"box_2d\": [531, 655, 583, 728], \"label\": \"corn kernel\"},\n {\"box_2d\": [609, 748, 659, 806], \"label\": \"corn kernel\"},\n {\"box_2d\": [514, 770, 577, 814], \"label\": \"corn kernel\"},\n {\"box_2d\": [455, 784, 502, 845], \"label\": \"corn kernel\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 397, "elapsed_seconds": 5.21172879205551, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 5.2342}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 8, "image": "IMG_0620_jpeg.rf.0c9c3b0a23079483a0b0e1651801d9a9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [377, 265, 491, 329], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [291, 383, 368, 474], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [281, 511, 379, 583], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [284, 582, 391, 643], \"label\": \"caramel corn jelly bean\"},\n {\"box_2d\": [397, 388, 501, 480], \"label\": \"peach jelly bean\"},\n {\"box_2d\": [381, 510, 487, 594], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [507, 331, 641, 413], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [488, 512, 613, 594], \"label\": \"peach jelly bean\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 315, "elapsed_seconds": 5.03063195804134, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 5.0793}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 9, "image": "paper-parts_163482_102_jpg.rf.d878bfe8193ad78ee6e9bd012ea9324e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [93, 118, 108, 573], \"label\": \"subsection\"},\n {\"box_2d\": [128, 118, 141, 707], \"label\": \"paragraph\"},\n {\"box_2d\": [196, 333, 344, 670], \"label\": \"figure\"},\n {\"box_2d\": [369, 341, 383, 658], \"label\": \"figure caption\"},\n {\"box_2d\": [432, 118, 446, 493], \"label\": \"subsection\"},\n {\"box_2d\": [467, 118, 511, 862], \"label\": \"paragraph\"},\n {\"box_2d\": [529, 333, 574, 666], \"label\": \"equation\"},\n {\"box_2d\": [581, 422, 608, 578], \"label\": \"equation\"},\n {\"box_2d\": [624, 118, 637, 613], \"label\": \"paragraph\"},\n {\"box_2d\": [654, 338, 699, 662], \"label\": \"equation\"},\n {\"box_2d\": [706, 431, 734, 569], \"label\": \"equation\"},\n {\"box_2d\": [749, 118, 762, 547], \"label\": \"paragraph\"},\n {\"box_2d\": [779, 329, 825, 671], \"label\": \"equation\"},\n {\"box_2d\": [831, 431, 859, 569], \"label\": \"equation\"},\n {\"box_2d\": [923, 491, 936, 509], \"label\": \"page number\"}\n]\n```", "correct": false, "input_tokens": 1250, "output_tokens": 523, "elapsed_seconds": 7.15776395809371, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 14, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6773926615715027, "attempts": 1, "retries": 0, "total_seconds": 7.1998}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 10, "image": "20210325_203432_jpg.rf.8eb2129f7a101d085f4cb925da755682.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [103, 275, 311, 480], \"label\": \"50 euro cent coin\"},\n {\"box_2d\": [134, 616, 294, 773], \"label\": \"2 euro cent coin\"},\n {\"box_2d\": [291, 464, 456, 628], \"label\": \"10 euro cent coin\"},\n {\"box_2d\": [333, 661, 520, 848], \"label\": \"20 euro cent coin\"},\n {\"box_2d\": [378, 164, 577, 361], \"label\": \"1 euro coin\"},\n {\"box_2d\": [536, 419, 675, 555], \"label\": \"1 euro cent coin\"},\n {\"box_2d\": [702, 205, 881, 383], \"label\": \"5 euro cent coin\"},\n {\"box_2d\": [650, 542, 869, 761], \"label\": \"2 euro coin\"}\n]\n```", "correct": true, "input_tokens": 1272, "output_tokens": 309, "elapsed_seconds": 4.999157083104365, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 5.0299}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 11, "image": "2024-12-05T02-01-20-119Z-4010_jpg.rf.4f789285ff5c3a1889420326440bc9d1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [829, 700, 910, 756], \"label\": \"screw\"},\n {\"box_2d\": [632, 489, 697, 537], \"label\": \"wire hole\"},\n {\"box_2d\": [374, 482, 439, 531], \"label\": \"wire hole\"},\n {\"box_2d\": [456, 451, 619, 571], \"label\": \"screw\"}\n]\n```", "correct": false, "input_tokens": 1203, "output_tokens": 150, "elapsed_seconds": 16.671016499982215, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.1683168113231659, "attempts": 1, "retries": 0, "total_seconds": 16.8825}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 12, "image": "Container-146_jpg.rf.1f5b3bfa7143f6b016b2b85ca3940e5c.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [160, 611, 203, 916], \"label\": \"shipping container number\"},\n {\"box_2d\": [213, 750, 250, 824], \"label\": \"container ISO type code\"}\n]\n```", "correct": true, "input_tokens": 1232, "output_tokens": 85, "elapsed_seconds": 3.2662578329909593, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 3.2827}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 13, "image": "GP010248_JPG_jpg.rf.c2ac2602f1905971af1173c3ba311542.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [467, 29, 712, 143], \"label\": \"carrot\"},\n {\"box_2d\": [401, 117, 675, 189], \"label\": \"carrot\"},\n {\"box_2d\": [367, 40, 521, 151], \"label\": \"carrot\"},\n {\"box_2d\": [478, 187, 682, 276], \"label\": \"carrot\"},\n {\"box_2d\": [445, 221, 682, 331], \"label\": \"carrot\"},\n {\"box_2d\": [494, 265, 667, 365], \"label\": \"carrot\"},\n {\"box_2d\": [512, 339, 681, 381], \"label\": \"carrot\"},\n {\"box_2d\": [428, 375, 610, 412], \"label\": \"carrot\"},\n {\"box_2d\": [387, 368, 670, 454], \"label\": \"carrot\"},\n {\"box_2d\": [632, 279, 718, 473], \"label\": \"carrot\"},\n {\"box_2d\": [648, 415, 694, 584], \"label\": \"carrot\"},\n {\"box_2d\": [556, 475, 660, 675], \"label\": \"carrot\"},\n {\"box_2d\": [606, 568, 650, 718], \"label\": \"carrot\"},\n {\"box_2d\": [538, 709, 645, 848], \"label\": \"carrot\"},\n {\"box_2d\": [351, 793, 579, 931], \"label\": \"carrot\"},\n {\"box_2d\": [244, 757, 473, 825], \"label\": \"carrot\"},\n {\"box_2d\": [219, 614, 331, 761], \"label\": \"carrot\"},\n {\"box_2d\": [421, 657, 548, 795], \"label\": \"carrot\"},\n {\"box_2d\": [439, 565, 587, 710], \"label\": \"carrot\"},\n {\"box_2d\": [529, 453, 614, 571], \"label\": \"carrot\"},\n {\"box_2d\": [495, 447, 581, 599], \"label\": \"carrot\"},\n {\"box_2d\": [378, 439, 442, 620], \"label\": \"carrot\"},\n {\"box_2d\": [351, 479, 414, 681], \"label\": \"carrot\"},\n {\"box_2d\": [334, 545, 367, 717], \"label\": \"carrot\"},\n {\"box_2d\": [304, 468, 337, 685], \"label\": \"carrot\"},\n {\"box_2d\": [231, 297, 284, 496], \"label\": \"carrot\"},\n {\"box_2d\": [269, 278, 307, 457], \"label\": \"carrot\"},\n {\"box_2d\": [289, 181, 353, 412], \"label\": \"carrot\"},\n {\"box_2d\": [345, 117, 385, 360], \"label\": \"carrot\"},\n {\"box_2d\": [376, 141, 437, 344], \"label\": \"carrot\"},\n {\"box_2d\": [345, 225, 487, 441], \"label\": \"carrot\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 1064, "elapsed_seconds": 12.529703458072618, "metadata": {"match_method": "map", "num_predictions": 31, "num_ground_truth": 31, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 12.5555}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 14, "image": "DJI_20230529095953_0646_T_JPG_jpg.rf.9806615efd3123cda770b6e1a3358930.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [572, 505, 591, 517], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [556, 686, 577, 697], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [548, 791, 566, 802], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [584, 370, 603, 383], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [173, 666, 197, 678], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [181, 622, 200, 633], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [222, 148, 241, 161], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [928, 816, 948, 828], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [925, 861, 944, 872], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [575, 459, 595, 472], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [558, 641, 578, 653], \"label\": \"solar panel hot spot\"}\n]\n```", "correct": false, "input_tokens": 1228, "output_tokens": 419, "elapsed_seconds": 5.728417958016507, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7326732873916626, "attempts": 1, "retries": 0, "total_seconds": 5.7517}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 15, "image": "floorplan-windows-doors_1036_png.rf.377e8848ebf77a1b3fd4e54e9aaa327d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [773, 365, 845, 452], \"label\": \"door\"},\n {\"box_2d\": [769, 151, 789, 290], \"label\": \"window\"},\n {\"box_2d\": [771, 576, 787, 619], \"label\": \"window\"},\n {\"box_2d\": [775, 731, 795, 843], \"label\": \"window\"},\n {\"box_2d\": [656, 558, 725, 616], \"label\": \"door\"},\n {\"box_2d\": [443, 208, 498, 290], \"label\": \"door\"},\n {\"box_2d\": [329, 588, 379, 646], \"label\": \"door\"},\n {\"box_2d\": [494, 672, 553, 755], \"label\": \"door\"},\n {\"box_2d\": [553, 681, 616, 761], \"label\": \"door\"},\n {\"box_2d\": [168, 575, 187, 619], \"label\": \"window\"},\n {\"box_2d\": [171, 777, 190, 839], \"label\": \"window\"},\n {\"box_2d\": [117, 842, 255, 924], \"label\": \"door\"},\n {\"box_2d\": [165, 300, 184, 363], \"label\": \"window\"},\n {\"box_2d\": [162, 102, 184, 241], \"label\": \"window\"},\n {\"box_2d\": [109, 364, 248, 449], \"label\": \"door\"}\n]\n```", "correct": false, "input_tokens": 1211, "output_tokens": 522, "elapsed_seconds": 8.6838786250446, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 19, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7611386179924011, "attempts": 1, "retries": 0, "total_seconds": 8.751}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 16, "image": "IMG_4942_JPG.rf.2d54601c43bd5fdd67c9d6de8428a9ef.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [298, 558, 315, 567], \"label\": \"face\"},\n {\"box_2d\": [296, 639, 315, 650], \"label\": \"face\"},\n {\"box_2d\": [299, 613, 317, 622], \"label\": \"face\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 114, "elapsed_seconds": 49.6178891249001, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 9, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.19141912460327148, "attempts": 1, "retries": 0, "total_seconds": 50.1042}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 17, "image": "4103433_ContLeftUpper_f_jpg.rf.c38c0a22d926bfd30646b27374a1f854.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [585, 99, 616, 130], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [595, 177, 622, 204], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [468, 25, 513, 47], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [416, 493, 470, 520], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [445, 694, 464, 718], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [393, 417, 421, 444], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [323, 257, 360, 286], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [389, 257, 414, 285], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [265, 336, 420, 363], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [266, 98, 414, 129], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [274, 178, 414, 204], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [392, 26, 420, 48], \"label\": \"shipping container wall dent\"}\n]\n```", "correct": false, "input_tokens": 1224, "output_tokens": 450, "elapsed_seconds": 8.041588541935198, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.1440144032239914, "attempts": 1, "retries": 0, "total_seconds": 8.1748}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 18, "image": "a9f16c_8_1_png_jpg.rf.21f65c07fc1fd4b937623a9b2c4bf919.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [273, 327, 304, 338], \"label\": \"player\"},\n {\"box_2d\": [308, 450, 344, 461], \"label\": \"player\"},\n {\"box_2d\": [304, 468, 338, 476], \"label\": \"player\"},\n {\"box_2d\": [373, 535, 412, 546], \"label\": \"player\"},\n {\"box_2d\": [423, 524, 468, 533], \"label\": \"player\"},\n {\"box_2d\": [501, 514, 550, 526], \"label\": \"player\"},\n {\"box_2d\": [592, 563, 650, 585], \"label\": \"player\"},\n {\"box_2d\": [644, 560, 654, 566], \"label\": \"football\"},\n {\"box_2d\": [339, 730, 376, 738], \"label\": \"player\"},\n {\"box_2d\": [341, 978, 383, 992], \"label\": \"goalkeeper\"},\n {\"box_2d\": [346, 272, 383, 284], \"label\": \"player\"},\n {\"box_2d\": [342, 298, 379, 310], \"label\": \"player\"},\n {\"box_2d\": [416, 232, 457, 246], \"label\": \"player\"},\n {\"box_2d\": [422, 287, 459, 303], \"label\": \"player\"},\n {\"box_2d\": [474, 206, 522, 226], \"label\": \"player\"},\n {\"box_2d\": [537, 206, 587, 227], \"label\": \"player\"},\n {\"box_2d\": [552, 189, 599, 214], \"label\": \"player\"},\n {\"box_2d\": [646, 279, 706, 298], \"label\": \"player\"},\n {\"box_2d\": [821, 281, 888, 300], \"label\": \"player\"},\n {\"box_2d\": [393, 21, 439, 41], \"label\": \"goalkeeper\"},\n {\"box_2d\": [408, 403, 448, 417], \"label\": \"referee\"},\n {\"box_2d\": [441, 404, 490, 420], \"label\": \"player\"},\n {\"box_2d\": [854, 956, 933, 978], \"label\": \"referee\"}\n]\n```", "correct": true, "input_tokens": 1242, "output_tokens": 796, "elapsed_seconds": 21.092793417046778, "metadata": {"match_method": "map", "num_predictions": 23, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8910890817642212, "attempts": 1, "retries": 0, "total_seconds": 21.2117}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 19, "image": "20230220_113558_jpg.rf.d5df52cc566f78f19b292c4a237d076c.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [759, 434, 956, 467], \"label\": \"crack\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 46, "elapsed_seconds": 10.59880245802924, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 10.6186}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 20, "image": "frame_0277_jpg.rf.c6aa8dac950a9954eaaa15c2c1350db2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [855, 217, 938, 263], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [868, 493, 916, 537], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [606, 437, 675, 481], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [540, 554, 623, 591], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [444, 227, 524, 267], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [336, 90, 405, 132], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [196, 128, 255, 174], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [284, 237, 355, 280], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [136, 246, 193, 287], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [63, 270, 111, 294], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [12, 130, 67, 171], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 242, 34, 268], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 271, 38, 300], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [3, 305, 43, 336], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [31, 360, 84, 391], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [1, 412, 46, 439], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 449, 48, 480], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [54, 430, 124, 463], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [167, 433, 226, 466], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [256, 369, 322, 405], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [333, 456, 408, 496], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [405, 465, 466, 506], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [311, 546, 365, 577], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [209, 530, 271, 571], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [35, 526, 97, 558], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [96, 626, 148, 658], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [211, 640, 275, 671], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [326, 656, 389, 690], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [451, 585, 509, 621], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [458, 675, 514, 710], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [629, 688, 663, 733], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [1, 494, 48, 526], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [1, 566, 52, 591], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [7, 542, 46, 567], \"label\": \"garlic on conveyor\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 1202, "elapsed_seconds": 53.01899320795201, "metadata": {"match_method": "map", "num_predictions": 34, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9073778390884399, "attempts": 1, "retries": 0, "total_seconds": 53.1542}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 21, "image": "construction-safety_ppe_0034_jpg.rf.38e91c4daafe26a0be27d2c1133af960.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [391, 631, 912, 728], \"label\": \"person\"},\n {\"box_2d\": [373, 192, 919, 300], \"label\": \"person\"},\n {\"box_2d\": [370, 569, 411, 610], \"label\": \"safety helmet\"},\n {\"box_2d\": [410, 480, 909, 558], \"label\": \"person\"},\n {\"box_2d\": [373, 541, 908, 646], \"label\": \"person\"},\n {\"box_2d\": [309, 134, 353, 184], \"label\": \"safety helmet\"},\n {\"box_2d\": [391, 659, 430, 703], \"label\": \"safety helmet\"},\n {\"box_2d\": [338, 833, 384, 877], \"label\": \"safety helmet\"},\n {\"box_2d\": [461, 193, 669, 287], \"label\": \"safety vest\"},\n {\"box_2d\": [366, 735, 406, 779], \"label\": \"safety helmet\"},\n {\"box_2d\": [387, 290, 918, 384], \"label\": \"person\"},\n {\"box_2d\": [309, 77, 922, 200], \"label\": \"person\"},\n {\"box_2d\": [382, 417, 429, 458], \"label\": \"safety helmet\"},\n {\"box_2d\": [499, 484, 706, 557], \"label\": \"safety vest\"},\n {\"box_2d\": [373, 226, 419, 272], \"label\": \"safety helmet\"},\n {\"box_2d\": [401, 98, 608, 194], \"label\": \"safety vest\"},\n {\"box_2d\": [454, 722, 643, 811], \"label\": \"safety vest\"},\n {\"box_2d\": [366, 707, 912, 819], \"label\": \"person\"},\n {\"box_2d\": [420, 825, 624, 910], \"label\": \"safety vest\"},\n {\"box_2d\": [384, 391, 909, 484], \"label\": \"person\"},\n {\"box_2d\": [388, 321, 432, 366], \"label\": \"safety helmet\"},\n {\"box_2d\": [340, 804, 912, 921], \"label\": \"person\"},\n {\"box_2d\": [471, 645, 659, 728], \"label\": \"safety vest\"},\n {\"box_2d\": [479, 291, 675, 381], \"label\": \"safety vest\"},\n {\"box_2d\": [410, 501, 463, 545], \"label\": \"safety helmet\"}\n]\n```", "correct": true, "input_tokens": 1222, "output_tokens": 876, "elapsed_seconds": 14.41061925003305, "metadata": {"match_method": "map", "num_predictions": 25, "num_ground_truth": 27, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9240924119949341, "attempts": 1, "retries": 0, "total_seconds": 14.4542}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 22, "image": "2024-12-05T02-00-55-647Z-1001_jpg.rf.c0a64fec0c1e44672b8338dc3d88f40e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [592, 307, 735, 404], \"label\": \"wire hole\"},\n {\"box_2d\": [427, 535, 502, 591], \"label\": \"cable screw\"},\n {\"box_2d\": [266, 675, 340, 730], \"label\": \"screw\"},\n {\"box_2d\": [524, 677, 596, 731], \"label\": \"screw\"}\n]\n```", "correct": false, "input_tokens": 1206, "output_tokens": 150, "elapsed_seconds": 28.414781957981177, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6666666269302368, "attempts": 1, "retries": 0, "total_seconds": 28.7274}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 23, "image": "uav20221018_ixfZ_3857_391_png.rf.363cfc1a99bee6043b1535d35e5cf8f5.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [757, 793, 811, 832], \"label\": \"banana tree\"},\n {\"box_2d\": [715, 801, 761, 845], \"label\": \"banana tree\"},\n {\"box_2d\": [652, 796, 695, 840], \"label\": \"banana tree\"},\n {\"box_2d\": [749, 750, 790, 787], \"label\": \"banana tree\"},\n {\"box_2d\": [681, 738, 725, 791], \"label\": \"banana tree\"},\n {\"box_2d\": [612, 742, 657, 787], \"label\": \"banana tree\"},\n {\"box_2d\": [581, 790, 626, 840], \"label\": \"banana tree\"},\n {\"box_2d\": [545, 744, 583, 787], \"label\": \"banana tree\"},\n {\"box_2d\": [504, 801, 550, 825], \"label\": \"banana tree\"},\n {\"box_2d\": [474, 739, 521, 779], \"label\": \"banana tree\"},\n {\"box_2d\": [433, 795, 480, 837], \"label\": \"banana tree\"},\n {\"box_2d\": [405, 737, 452, 777], \"label\": \"banana tree\"},\n {\"box_2d\": [371, 792, 419, 827], \"label\": \"banana tree\"},\n {\"box_2d\": [341, 735, 381, 774], \"label\": \"banana tree\"},\n {\"box_2d\": [306, 798, 348, 834], \"label\": \"banana tree\"},\n {\"box_2d\": [266, 736, 306, 769], \"label\": \"banana tree\"},\n {\"box_2d\": [232, 798, 276, 830], \"label\": \"banana tree\"},\n {\"box_2d\": [202, 735, 238, 772], \"label\": \"banana tree\"},\n {\"box_2d\": [163, 790, 206, 830], \"label\": \"banana tree\"},\n {\"box_2d\": [132, 736, 174, 773], \"label\": \"banana tree\"},\n {\"box_2d\": [92, 795, 141, 826], \"label\": \"banana tree\"},\n {\"box_2d\": [61, 728, 102, 769], \"label\": \"banana tree\"},\n {\"box_2d\": [18, 792, 65, 830], \"label\": \"banana tree\"},\n {\"box_2d\": [0, 728, 31, 769], \"label\": \"banana tree\"},\n {\"box_2d\": [409, 549, 449, 588], \"label\": \"banana tree\"},\n {\"box_2d\": [437, 500, 480, 533], \"label\": \"banana tree\"},\n {\"box_2d\": [372, 495, 415, 547], \"label\": \"banana tree\"},\n {\"box_2d\": [336, 549, 378, 591], \"label\": \"banana tree\"},\n {\"box_2d\": [298, 502, 343, 536], \"label\": \"banana tree\"},\n {\"box_2d\": [273, 545, 315, 579], \"label\": \"banana tree\"},\n {\"box_2d\": [228, 494, 275, 534], \"label\": \"banana tree\"},\n {\"box_2d\": [194, 541, 244, 584], \"label\": \"banana tree\"},\n {\"box_2d\": [155, 500, 209, 534], \"label\": \"banana tree\"},\n {\"box_2d\": [126, 553, 165, 591], \"label\": \"banana tree\"},\n {\"box_2d\": [63, 553, 98, 584], \"label\": \"banana tree\"},\n {\"box_2d\": [23, 503, 57, 537], \"label\": \"banana tree\"},\n {\"box_2d\": [72, 249, 109, 282], \"label\": \"banana tree\"},\n {\"box_2d\": [34, 300, 74, 336], \"label\": \"banana tree\"},\n {\"box_2d\": [1, 245, 44, 290], \"label\": \"banana tree\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 1360, "elapsed_seconds": 48.465889125014655, "metadata": {"match_method": "map", "num_predictions": 39, "num_ground_truth": 43, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9009901285171509, "attempts": 1, "retries": 0, "total_seconds": 48.5683}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 24, "image": "fabric-defect_511_jpg.rf.c9746a1a958e01686335a4e0e7bec57c.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [417, 402, 571, 484], \"label\": \"fabric cut\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 47, "elapsed_seconds": 23.06214200006798, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 23.0752}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 25, "image": "z4517190691608_e13e5a7742dfd1e1497d7f34e43b9a19_jpg.rf.53f3adf34b3bcf75125b6512855911b0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [191, 646, 300, 809], \"label\": \"20 poker chip\"},\n {\"box_2d\": [298, 670, 417, 840], \"label\": \"50 poker chip\"},\n {\"box_2d\": [430, 818, 558, 1000], \"label\": \"5000 poker chip\"},\n {\"box_2d\": [495, 635, 626, 817], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [614, 717, 756, 907], \"label\": \"500 poker chip\"},\n {\"box_2d\": [757, 654, 913, 853], \"label\": \"50 poker chip\"},\n {\"box_2d\": [731, 454, 886, 645], \"label\": \"50 poker chip\"},\n {\"box_2d\": [584, 480, 725, 665], \"label\": \"20 poker chip\"},\n {\"box_2d\": [460, 456, 584, 633], \"label\": \"20 poker chip\"},\n {\"box_2d\": [349, 513, 467, 683], \"label\": \"20 poker chip\"},\n {\"box_2d\": [244, 479, 355, 641], \"label\": \"10 poker chip\"},\n {\"box_2d\": [128, 485, 232, 641], \"label\": \"5 poker chip\"},\n {\"box_2d\": [92, 326, 194, 477], \"label\": \"5 poker chip\"},\n {\"box_2d\": [195, 169, 302, 324], \"label\": \"5 poker chip\"},\n {\"box_2d\": [186, 350, 294, 506], \"label\": \"5 poker chip\"},\n {\"box_2d\": [278, 275, 391, 434], \"label\": \"500 poker chip\"},\n {\"box_2d\": [346, 110, 464, 275], \"label\": \"100 poker chip\"},\n {\"box_2d\": [431, 207, 556, 375], \"label\": \"100 poker chip\"},\n {\"box_2d\": [372, 352, 489, 518], \"label\": \"20 poker chip\"},\n {\"box_2d\": [525, 310, 658, 486], \"label\": \"10 poker chip\"},\n {\"box_2d\": [592, 150, 730, 328], \"label\": \"50 poker chip\"},\n {\"box_2d\": [662, 295, 811, 480], \"label\": \"20 poker chip\"}\n]\n```", "correct": true, "input_tokens": 1251, "output_tokens": 830, "elapsed_seconds": 109.53282554098405, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 109.8294}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 26, "image": "floorplan-windows-doors_10156_png.rf.46b4865a81b54b57dfa53b894c0a0632.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [209, 297, 323, 358], \"label\": \"door\"},\n {\"box_2d\": [254, 240, 273, 297], \"label\": \"window\"},\n {\"box_2d\": [257, 369, 274, 470], \"label\": \"window\"},\n {\"box_2d\": [254, 646, 273, 745], \"label\": \"window\"},\n {\"box_2d\": [255, 816, 274, 859], \"label\": \"window\"},\n {\"box_2d\": [390, 810, 432, 850], \"label\": \"door\"},\n {\"box_2d\": [450, 742, 507, 801], \"label\": \"door\"},\n {\"box_2d\": [531, 753, 574, 805], \"label\": \"door\"},\n {\"box_2d\": [624, 741, 681, 799], \"label\": \"door\"},\n {\"box_2d\": [820, 649, 839, 750], \"label\": \"window\"},\n {\"box_2d\": [820, 783, 839, 841], \"label\": \"window\"},\n {\"box_2d\": [821, 391, 838, 490], \"label\": \"window\"},\n {\"box_2d\": [821, 297, 882, 355], \"label\": \"door\"},\n {\"box_2d\": [741, 299, 794, 355], \"label\": \"door\"},\n {\"box_2d\": [696, 236, 742, 281], \"label\": \"door\"},\n {\"box_2d\": [914, 263, 967, 328], \"label\": \"door\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 556, "elapsed_seconds": 27.928027584101073, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 17, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9504950642585754, "attempts": 1, "retries": 0, "total_seconds": 27.9912}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 27, "image": "fabric-defect_323_jpg.rf.371f41f855eb62c4f2068f1bac0ca297.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [73, 591, 134, 639], \"label\": \"fabric cut\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 46, "elapsed_seconds": 9.723672542022541, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 9.7351}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 28, "image": "54_png.rf.e797ccd3ab1732fcc95dc8f12eac1e73.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [196, 78, 304, 138], \"label\": \"not gate symbol\"},\n {\"box_2d\": [196, 178, 302, 238], \"label\": \"not gate symbol\"},\n {\"box_2d\": [196, 278, 302, 338], \"label\": \"not gate symbol\"},\n {\"box_2d\": [196, 378, 304, 439], \"label\": \"not gate symbol\"},\n {\"box_2d\": [310, 513, 434, 613], \"label\": \"and gate symbol\"},\n {\"box_2d\": [452, 513, 574, 614], \"label\": \"and gate symbol\"},\n {\"box_2d\": [380, 659, 504, 759], \"label\": \"or gate symbol\"},\n {\"box_2d\": [592, 513, 716, 614], \"label\": \"and gate symbol\"},\n {\"box_2d\": [734, 513, 858, 613], \"label\": \"and gate symbol\"},\n {\"box_2d\": [664, 658, 788, 759], \"label\": \"or gate symbol\"},\n {\"box_2d\": [522, 804, 646, 905], \"label\": \"and gate symbol\"}\n]\n```", "correct": true, "input_tokens": 1212, "output_tokens": 407, "elapsed_seconds": 6.077399207977578, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 6.083}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 29, "image": "IMG_3802_JPG.rf.a7e888d2c6d99ef929355eb2fffb322e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [468, 379, 505, 396], \"label\": \"face\"},\n {\"box_2d\": [300, 336, 326, 350], \"label\": \"face\"},\n {\"box_2d\": [474, 434, 513, 452], \"label\": \"face\"},\n {\"box_2d\": [437, 523, 467, 538], \"label\": \"face\"},\n {\"box_2d\": [309, 360, 334, 372], \"label\": \"face\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 182, "elapsed_seconds": 14.442456500022672, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.4554455578327179, "attempts": 1, "retries": 0, "total_seconds": 14.949}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 30, "image": "DJI_20230529112019_0221_T_JPG_jpg.rf.8e72d3393da7d92494fccfb7bb75bfc8.jpg", "expected": "", "predicted": "```json\n[{\"box_2d\": [75, 161, 181, 211], \"label\": \"solar panel hot spot\"}, {\"box_2d\": [86, 200, 189, 250], \"label\": \"solar panel hot spot\"}, {\"box_2d\": [66, 117, 173, 170], \"label\": \"solar panel hot spot\"}, {\"box_2d\": [172, 661, 278, 712], \"label\": \"solar panel hot spot\"}, {\"box_2d\": [180, 703, 286, 755], \"label\": \"solar panel hot spot\"}, {\"box_2d\": [162, 622, 269, 672], \"label\": \"solar panel hot spot\"}, {\"box_2d\": [205, 830, 309, 878], \"label\": \"solar panel hot spot\"}, {\"box_2d\": [520, 619, 623, 669], \"label\": \"solar panel hot spot\"}, {\"box_2d\": [528, 659, 631, 709], \"label\": \"solar panel hot spot\"}, {\"box_2d\": [536, 702, 639, 750], \"label\": \"solar panel hot spot\"}, {\"box_2d\": [544, 742, 647, 791], \"label\": \"solar panel hot spot\"}, {\"box_2d\": [552, 783, 653, 831], \"label\": \"solar panel hot spot\"}, {\"box_2d\": [845, 456, 950, 508], \"label\": \"solar panel hot spot\"}, {\"box_2d\": [855, 497, 956, 548], \"label\": \"solar panel hot spot\"}, {\"box_2d\": [870, 581, 972, 631], \"label\": \"solar panel hot spot\"}, {\"box_2d\": [92, 797, 198, 848], \"label\": \"solar panel hot spot\"}, {\"box_2d\": [103, 839, 208, 889], \"label\": \"solar panel hot spot\"}]\n```", "correct": false, "input_tokens": 1228, "output_tokens": 600, "elapsed_seconds": 8.073404041002505, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 17, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 8.0981}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 31, "image": "Atlantic_2025_NCPT-189_JPG_jpg.rf.7a382ad19f3061fc65305d93b2678aef.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [128, 252, 217, 286], \"label\": \"potato\"},\n {\"box_2d\": [117, 297, 183, 323], \"label\": \"potato\"},\n {\"box_2d\": [12, 300, 77, 326], \"label\": \"potato\"},\n {\"box_2d\": [8, 340, 91, 369], \"label\": \"potato\"},\n {\"box_2d\": [19, 385, 108, 416], \"label\": \"potato\"},\n {\"box_2d\": [7, 427, 85, 459], \"label\": \"potato\"},\n {\"box_2d\": [7, 474, 83, 504], \"label\": \"potato\"},\n {\"box_2d\": [5, 517, 73, 546], \"label\": \"potato\"},\n {\"box_2d\": [6, 606, 80, 634], \"label\": \"potato\"},\n {\"box_2d\": [23, 730, 118, 769], \"label\": \"potato\"},\n {\"box_2d\": [96, 686, 176, 720], \"label\": \"potato\"},\n {\"box_2d\": [122, 734, 184, 761], \"label\": \"potato\"},\n {\"box_2d\": [117, 599, 219, 640], \"label\": \"potato\"},\n {\"box_2d\": [146, 641, 249, 682], \"label\": \"potato\"},\n {\"box_2d\": [210, 689, 316, 725], \"label\": \"potato\"},\n {\"box_2d\": [266, 646, 333, 673], \"label\": \"potato\"},\n {\"box_2d\": [301, 731, 383, 762], \"label\": \"potato\"},\n {\"box_2d\": [315, 681, 430, 726], \"label\": \"potato\"},\n {\"box_2d\": [443, 724, 535, 763], \"label\": \"potato\"},\n {\"box_2d\": [689, 681, 793, 717], \"label\": \"potato\"},\n {\"box_2d\": [479, 635, 599, 677], \"label\": \"potato\"},\n {\"box_2d\": [508, 596, 615, 636], \"label\": \"potato\"},\n {\"box_2d\": [376, 601, 474, 639], \"label\": \"potato\"},\n {\"box_2d\": [368, 550, 483, 604], \"label\": \"potato\"},\n {\"box_2d\": [288, 558, 366, 590], \"label\": \"potato\"},\n {\"box_2d\": [196, 553, 290, 592], \"label\": \"potato\"},\n {\"box_2d\": [72, 512, 146, 545], \"label\": \"potato\"},\n {\"box_2d\": [145, 514, 243, 546], \"label\": \"potato\"},\n {\"box_2d\": [82, 472, 155, 502], \"label\": \"potato\"},\n {\"box_2d\": [155, 467, 267, 508], \"label\": \"potato\"},\n {\"box_2d\": [103, 421, 199, 458], \"label\": \"potato\"},\n {\"box_2d\": [160, 384, 232, 415], \"label\": \"potato\"},\n {\"box_2d\": [134, 337, 217, 370], \"label\": \"potato\"},\n {\"box_2d\": [217, 341, 279, 366], \"label\": \"potato\"},\n {\"box_2d\": [231, 384, 289, 409], \"label\": \"potato\"},\n {\"box_2d\": [214, 409, 323, 459], \"label\": \"potato\"},\n {\"box_2d\": [266, 465, 365, 505], \"label\": \"potato\"},\n {\"box_2d\": [254, 512, 361, 552], \"label\": \"potato\"},\n {\"box_2d\": [357, 511, 446, 545], \"label\": \"potato\"},\n {\"box_2d\": [364, 465, 452, 502], \"label\": \"potato\"},\n {\"box_2d\": [317, 426, 383, 454], \"label\": \"potato\"},\n {\"box_2d\": [286, 375, 389, 413], \"label\": \"potato\"},\n {\"box_2d\": [343, 336, 437, 370], \"label\": \"potato\"},\n {\"box_2d\": [352, 285, 446, 329], \"label\": \"potato\"},\n {\"box_2d\": [446, 289, 532, 324], \"label\": \"potato\"},\n {\"box_2d\": [436, 338, 501, 364], \"label\": \"potato\"},\n {\"box_2d\": [397, 381, 481, 415], \"label\": \"potato\"},\n {\"box_2d\": [401, 414, 510, 457], \"label\": \"potato\"},\n {\"box_2d\": [457, 466, 545, 496], \"label\": \"potato\"},\n {\"box_2d\": [471, 501, 577, 544], \"label\": \"potato\"},\n {\"box_2d\": [481, 553, 568, 587], \"label\": \"potato\"},\n {\"box_2d\": [576, 508, 683, 551], \"label\": \"potato\"},\n {\"box_2d\": [665, 553, 770, 593], \"label\": \"potato\"},\n {\"box_2d\": [736, 591, 835, 626], \"label\": \"potato\"},\n {\"box_2d\": [867, 507, 950, 539], \"label\": \"potato\"},\n {\"box_2d\": [845, 462, 926, 493], \"label\": \"potato\"},\n {\"box_2d\": [918, 418, 999, 453], \"label\": \"potato\"},\n {\"box_2d\": [750, 420, 829, 448], \"label\": \"potato\"},\n {\"box_2d\": [694, 467, 753, 492], \"label\": \"potato\"},\n {\"box_2d\": [588, 464, 678, 498], \"label\": \"potato\"},\n {\"box_2d\": [581, 416, 687, 455], \"label\": \"potato\"},\n {\"box_2d\": [581, 373, 668, 412], \"label\": \"potato\"},\n {\"box_2d\": [477, 375, 569, 410], \"label\": \"potato\"},\n {\"box_2d\": [501, 329, 608, 371], \"label\": \"potato\"},\n {\"box_2d\": [548, 284, 648, 328], \"label\": \"potato\"},\n {\"box_2d\": [618, 334, 687, 363], \"label\": \"potato\"},\n {\"box_2d\": [656, 289, 723, 315], \"label\": \"potato\"},\n {\"box_2d\": [690, 336, 761, 362], \"label\": \"potato\"},\n {\"box_2d\": [758, 374, 842, 409], \"label\": \"potato\"},\n {\"box_2d\": [778, 331, 864, 368], \"label\": \"potato\"},\n {\"box_2d\": [723, 282, 832, 321], \"label\": \"potato\"},\n {\"box_2d\": [834, 288, 896, 315], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 2438, "elapsed_seconds": 125.90563074999955, "metadata": {"match_method": "map", "num_predictions": 72, "num_ground_truth": 72, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 126.6143}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 32, "image": "V000078_0_0_jpeg_jpg.rf.ea93b54e17810ab845506f60bf69b7dd.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [799, 95, 968, 954], \"label\": \"technical drawing table\"},\n {\"box_2d\": [163, 342, 212, 439], \"label\": \"surface roughness symbol\"},\n {\"box_2d\": [151, 864, 203, 932], \"label\": \"dimension annotation\"},\n {\"box_2d\": [123, 643, 185, 712], \"label\": \"dimension annotation\"},\n {\"box_2d\": [324, 703, 381, 783], \"label\": \"dimension annotation\"},\n {\"box_2d\": [266, 170, 323, 234], \"label\": \"dimension annotation\"},\n {\"box_2d\": [274, 237, 323, 435], \"label\": \"dimension annotation\"},\n {\"box_2d\": [288, 432, 323, 483], \"label\": \"dimension annotation\"},\n {\"box_2d\": [288, 489, 323, 564], \"label\": \"dimension annotation\"},\n {\"box_2d\": [266, 170, 371, 483], \"label\": \"dimension annotation\"},\n {\"box_2d\": [336, 489, 371, 550], \"label\": \"dimension annotation\"},\n {\"box_2d\": [468, 560, 555, 628], \"label\": \"dimension annotation\"},\n {\"box_2d\": [438, 488, 466, 600], \"label\": \"dimension annotation\"},\n {\"box_2d\": [442, 236, 485, 300], \"label\": \"dimension annotation\"},\n {\"box_2d\": [442, 136, 491, 240], \"label\": \"dimension annotation\"},\n {\"box_2d\": [493, 126, 530, 173], \"label\": \"dimension annotation\"},\n {\"box_2d\": [501, 184, 586, 216], \"label\": \"dimension annotation\"},\n {\"box_2d\": [477, 297, 577, 336], \"label\": \"dimension annotation\"}\n]\n```", "correct": false, "input_tokens": 1237, "output_tokens": 643, "elapsed_seconds": 7.557448750012554, "metadata": {"match_method": "map", "num_predictions": 18, "num_ground_truth": 18, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6782177686691284, "attempts": 1, "retries": 0, "total_seconds": 7.5734}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 33, "image": "1226_8_jpg.rf.ca0a21572938b5c31e601cfcbf119e1e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [20, 20, 117, 118], \"label\": \"black rook\"},\n {\"box_2d\": [0, 139, 95, 245], \"label\": \"black knight\"},\n {\"box_2d\": [36, 265, 134, 355], \"label\": \"black bishop\"},\n {\"box_2d\": [8, 403, 128, 489], \"label\": \"black king\"},\n {\"box_2d\": [8, 533, 127, 620], \"label\": \"black queen\"},\n {\"box_2d\": [20, 899, 114, 1000], \"label\": \"black rook\"},\n {\"box_2d\": [141, 45, 212, 120], \"label\": \"black pawn\"},\n {\"box_2d\": [163, 652, 234, 722], \"label\": \"black pawn\"},\n {\"box_2d\": [169, 764, 241, 838], \"label\": \"black pawn\"},\n {\"box_2d\": [179, 914, 250, 995], \"label\": \"black pawn\"},\n {\"box_2d\": [281, 288, 351, 358], \"label\": \"black pawn\"},\n {\"box_2d\": [285, 399, 374, 487], \"label\": \"black bishop\"},\n {\"box_2d\": [427, 538, 496, 608], \"label\": \"black pawn\"},\n {\"box_2d\": [410, 895, 490, 1000], \"label\": \"black knight\"},\n {\"box_2d\": [525, 294, 594, 365], \"label\": \"white pawn\"},\n {\"box_2d\": [553, 759, 623, 835], \"label\": \"white pawn\"},\n {\"box_2d\": [644, 400, 713, 471], \"label\": \"white pawn\"},\n {\"box_2d\": [631, 641, 712, 745], \"label\": \"white knight\"},\n {\"box_2d\": [757, 57, 830, 132], \"label\": \"white pawn\"},\n {\"box_2d\": [769, 171, 841, 243], \"label\": \"white pawn\"},\n {\"box_2d\": [788, 642, 862, 712], \"label\": \"white pawn\"},\n {\"box_2d\": [775, 891, 847, 972], \"label\": \"white pawn\"},\n {\"box_2d\": [869, 41, 968, 133], \"label\": \"white rook\"},\n {\"box_2d\": [867, 133, 956, 239], \"label\": \"white knight\"},\n {\"box_2d\": [873, 283, 972, 372], \"label\": \"white bishop\"},\n {\"box_2d\": [867, 409, 988, 497], \"label\": \"white king\"},\n {\"box_2d\": [867, 532, 988, 620], \"label\": \"white queen\"},\n {\"box_2d\": [871, 654, 971, 745], \"label\": \"white bishop\"},\n {\"box_2d\": [880, 886, 976, 988], \"label\": \"white rook\"}\n]\n```", "correct": true, "input_tokens": 1259, "output_tokens": 1015, "elapsed_seconds": 23.565193625050597, "metadata": {"match_method": "map", "num_predictions": 29, "num_ground_truth": 29, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 23.8435}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 34, "image": "1218_18_jpg.rf.8c844a918f3bbbea9bc4a4e8bb703b7d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [134, 6, 223, 105], \"label\": \"white rook\"},\n {\"box_2d\": [32, 520, 132, 608], \"label\": \"black bishop\"},\n {\"box_2d\": [254, 255, 342, 348], \"label\": \"black knight\"},\n {\"box_2d\": [261, 632, 350, 718], \"label\": \"white knight\"},\n {\"box_2d\": [264, 875, 358, 1000], \"label\": \"white queen\"},\n {\"box_2d\": [381, 4, 464, 118], \"label\": \"black queen\"},\n {\"box_2d\": [508, 0, 597, 118], \"label\": \"white king\"},\n {\"box_2d\": [513, 279, 602, 370], \"label\": \"white bishop\"},\n {\"box_2d\": [516, 522, 605, 610], \"label\": \"black king\"},\n {\"box_2d\": [535, 764, 606, 840], \"label\": \"white pawn\"},\n {\"box_2d\": [628, 391, 707, 478], \"label\": \"black knight\"},\n {\"box_2d\": [637, 522, 719, 603], \"label\": \"white rook\"},\n {\"box_2d\": [640, 882, 720, 995], \"label\": \"white knight\"},\n {\"box_2d\": [746, 140, 847, 245], \"label\": \"white queen\"},\n {\"box_2d\": [771, 642, 843, 714], \"label\": \"black pawn\"},\n {\"box_2d\": [767, 767, 853, 859], \"label\": \"black rook\"},\n {\"box_2d\": [888, 405, 966, 480], \"label\": \"white pawn\"},\n {\"box_2d\": [884, 761, 1000, 871], \"label\": \"black queen\"}\n]\n```", "correct": true, "input_tokens": 1259, "output_tokens": 637, "elapsed_seconds": 32.494146707933396, "metadata": {"match_method": "map", "num_predictions": 18, "num_ground_truth": 18, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 32.7695}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 35, "image": "42ba34_3_4_png_jpg.rf.963d6715a391a3a2fee3176cace44325.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [375, 0, 417, 11], \"label\": \"goalkeeper\"},\n {\"box_2d\": [676, 152, 740, 171], \"label\": \"player\"},\n {\"box_2d\": [581, 232, 636, 248], \"label\": \"player\"},\n {\"box_2d\": [517, 282, 571, 294], \"label\": \"player\"},\n {\"box_2d\": [491, 265, 546, 275], \"label\": \"player\"},\n {\"box_2d\": [350, 251, 391, 260], \"label\": \"player\"},\n {\"box_2d\": [353, 258, 393, 267], \"label\": \"player\"},\n {\"box_2d\": [301, 281, 336, 290], \"label\": \"player\"},\n {\"box_2d\": [293, 318, 329, 327], \"label\": \"player\"},\n {\"box_2d\": [283, 405, 317, 414], \"label\": \"player\"},\n {\"box_2d\": [403, 350, 448, 358], \"label\": \"referee\"},\n {\"box_2d\": [360, 434, 400, 443], \"label\": \"player\"},\n {\"box_2d\": [332, 462, 372, 474], \"label\": \"player\"},\n {\"box_2d\": [243, 491, 276, 498], \"label\": \"referee\"},\n {\"box_2d\": [352, 586, 393, 595], \"label\": \"player\"},\n {\"box_2d\": [489, 563, 535, 575], \"label\": \"player\"},\n {\"box_2d\": [540, 583, 596, 596], \"label\": \"player\"},\n {\"box_2d\": [530, 606, 581, 619], \"label\": \"player\"},\n {\"box_2d\": [468, 676, 519, 688], \"label\": \"player\"},\n {\"box_2d\": [454, 722, 501, 735], \"label\": \"player\"},\n {\"box_2d\": [423, 803, 470, 814], \"label\": \"player\"},\n {\"box_2d\": [292, 690, 332, 699], \"label\": \"player\"},\n {\"box_2d\": [349, 912, 389, 926], \"label\": \"goalkeeper\"},\n {\"box_2d\": [637, 956, 698, 978], \"label\": \"referee\"}\n]\n```", "correct": false, "input_tokens": 1242, "output_tokens": 830, "elapsed_seconds": 22.977932667010464, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6262376308441162, "attempts": 1, "retries": 0, "total_seconds": 23.1067}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 36, "image": "170567v_JPG_jpg.rf.b4ec6b9d23ca24e31da874cd6f035dfa.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [569, 608, 697, 667], \"label\": \"cracked insulator\"},\n {\"box_2d\": [556, 574, 650, 632], \"label\": \"cracked insulator\"},\n {\"box_2d\": [542, 538, 669, 595], \"label\": \"cracked insulator\"},\n {\"box_2d\": [529, 505, 651, 560], \"label\": \"cracked insulator\"},\n {\"box_2d\": [504, 439, 616, 493], \"label\": \"cracked insulator\"},\n {\"box_2d\": [491, 405, 614, 461], \"label\": \"cracked insulator\"}\n]\n```", "correct": true, "input_tokens": 1244, "output_tokens": 228, "elapsed_seconds": 95.6608240409987, "metadata": {"match_method": "map", "num_predictions": 6, "num_ground_truth": 6, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 96.2016}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 37, "image": "wood-log-detection_092_png_jpg.rf.b7bfbb1ba7a477ea02f5974fce28583e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [777, 261, 845, 314], \"label\": \"log cross-section\"},\n {\"box_2d\": [831, 297, 909, 359], \"label\": \"log cross-section\"},\n {\"box_2d\": [845, 266, 895, 298], \"label\": \"log cross-section\"},\n {\"box_2d\": [711, 311, 780, 366], \"label\": \"log cross-section\"},\n {\"box_2d\": [683, 266, 750, 314], \"label\": \"log cross-section\"},\n {\"box_2d\": [652, 270, 686, 300], \"label\": \"log cross-section\"},\n {\"box_2d\": [644, 306, 709, 347], \"label\": \"log cross-section\"},\n {\"box_2d\": [591, 273, 656, 323], \"label\": \"log cross-section\"},\n {\"box_2d\": [587, 323, 648, 366], \"label\": \"log cross-section\"},\n {\"box_2d\": [578, 367, 645, 422], \"label\": \"log cross-section\"},\n {\"box_2d\": [642, 361, 697, 405], \"label\": \"log cross-section\"},\n {\"box_2d\": [742, 391, 806, 436], \"label\": \"log cross-section\"},\n {\"box_2d\": [786, 356, 842, 400], \"label\": \"log cross-section\"},\n {\"box_2d\": [852, 362, 908, 403], \"label\": \"log cross-section\"},\n {\"box_2d\": [836, 400, 898, 441], \"label\": \"log cross-section\"},\n {\"box_2d\": [678, 461, 769, 530], \"label\": \"log cross-section\"},\n {\"box_2d\": [728, 578, 825, 648], \"label\": \"log cross-section\"},\n {\"box_2d\": [831, 469, 912, 528], \"label\": \"log cross-section\"},\n {\"box_2d\": [762, 475, 830, 527], \"label\": \"log cross-section\"},\n {\"box_2d\": [694, 419, 758, 462], \"label\": \"log cross-section\"},\n {\"box_2d\": [695, 533, 764, 588], \"label\": \"log cross-section\"},\n {\"box_2d\": [647, 514, 703, 558], \"label\": \"log cross-section\"},\n {\"box_2d\": [552, 448, 623, 505], \"label\": \"log cross-section\"},\n {\"box_2d\": [538, 334, 592, 381], \"label\": \"log cross-section\"},\n {\"box_2d\": [495, 267, 567, 323], \"label\": \"log cross-section\"},\n {\"box_2d\": [505, 372, 570, 420], \"label\": \"log cross-section\"},\n {\"box_2d\": [530, 419, 588, 459], \"label\": \"log cross-section\"},\n {\"box_2d\": [427, 273, 492, 323], \"label\": \"log cross-section\"},\n {\"box_2d\": [395, 309, 441, 353], \"label\": \"log cross-section\"},\n {\"box_2d\": [347, 264, 395, 305], \"label\": \"log cross-section\"},\n {\"box_2d\": [273, 314, 344, 377], \"label\": \"log cross-section\"},\n {\"box_2d\": [234, 259, 300, 311], \"label\": \"log cross-section\"},\n {\"box_2d\": [156, 258, 234, 317], \"label\": \"log cross-section\"},\n {\"box_2d\": [127, 214, 169, 252], \"label\": \"log cross-section\"},\n {\"box_2d\": [111, 280, 156, 320], \"label\": \"log cross-section\"},\n {\"box_2d\": [144, 350, 211, 402], \"label\": \"log cross-section\"},\n {\"box_2d\": [38, 336, 97, 386], \"label\": \"log cross-section\"},\n {\"box_2d\": [92, 386, 138, 420], \"label\": \"log cross-section\"},\n {\"box_2d\": [98, 320, 144, 355], \"label\": \"log cross-section\"},\n {\"box_2d\": [230, 362, 283, 408], \"label\": \"log cross-section\"},\n {\"box_2d\": [233, 450, 283, 491], \"label\": \"log cross-section\"},\n {\"box_2d\": [275, 431, 334, 475], \"label\": \"log cross-section\"},\n {\"box_2d\": [320, 459, 391, 512], \"label\": \"log cross-section\"},\n {\"box_2d\": [333, 386, 384, 425], \"label\": \"log cross-section\"},\n {\"box_2d\": [277, 397, 322, 431], \"label\": \"log cross-section\"},\n {\"box_2d\": [364, 352, 416, 389], \"label\": \"log cross-section\"},\n {\"box_2d\": [400, 380, 450, 420], \"label\": \"log cross-section\"},\n {\"box_2d\": [425, 408, 473, 445], \"label\": \"log cross-section\"},\n {\"box_2d\": [472, 405, 522, 444], \"label\": \"log cross-section\"},\n {\"box_2d\": [445, 367, 491, 408], \"label\": \"log cross-section\"},\n {\"box_2d\": [425, 447, 483, 492], \"label\": \"log cross-section\"},\n {\"box_2d\": [483, 448, 548, 502], \"label\": \"log cross-section\"},\n {\"box_2d\": [425, 494, 480, 539], \"label\": \"log cross-section\"},\n {\"box_2d\": [389, 522, 438, 559], \"label\": \"log cross-section\"},\n {\"box_2d\": [392, 556, 450, 603], \"label\": \"log cross-section\"},\n {\"box_2d\": [509, 536, 583, 588], \"label\": \"log cross-section\"},\n {\"box_2d\": [566, 506, 622, 552], \"label\": \"log cross-section\"},\n {\"box_2d\": [606, 533, 661, 575], \"label\": \"log cross-section\"},\n {\"box_2d\": [572, 567, 639, 622], \"label\": \"log cross-section\"},\n {\"box_2d\": [489, 577, 544, 622], \"label\": \"log cross-section\"},\n {\"box_2d\": [506, 627, 564, 675], \"label\": \"log cross-section\"},\n {\"box_2d\": [389, 638, 445, 684], \"label\": \"log cross-section\"},\n {\"box_2d\": [308, 680, 378, 733], \"label\": \"log cross-section\"},\n {\"box_2d\": [247, 639, 314, 694], \"label\": \"log cross-section\"},\n {\"box_2d\": [139, 678, 223, 744], \"label\": \"log cross-section\"},\n {\"box_2d\": [159, 628, 227, 680], \"label\": \"log cross-section\"},\n {\"box_2d\": [72, 531, 142, 586], \"label\": \"log cross-section\"},\n {\"box_2d\": [152, 531, 217, 584], \"label\": \"log cross-section\"},\n {\"box_2d\": [212, 556, 273, 605], \"label\": \"log cross-section\"},\n {\"box_2d\": [269, 569, 334, 625], \"label\": \"log cross-section\"},\n {\"box_2d\": [166, 808, 225, 850], \"label\": \"log cross-section\"},\n {\"box_2d\": [298, 792, 355, 838], \"label\": \"log cross-section\"},\n {\"box_2d\": [359, 764, 427, 822], \"label\": \"log cross-section\"},\n {\"box_2d\": [469, 745, 536, 800], \"label\": \"log cross-section\"},\n {\"box_2d\": [506, 706, 572, 766], \"label\": \"log cross-section\"},\n {\"box_2d\": [577, 777, 636, 833], \"label\": \"log cross-section\"},\n {\"box_2d\": [578, 731, 641, 783], \"label\": \"log cross-section\"},\n {\"box_2d\": [633, 744, 706, 806], \"label\": \"log cross-section\"},\n {\"box_2d\": [741, 730, 814, 789], \"label\": \"log cross-section\"},\n {\"box_2d\": [797, 662, 867, 712], \"label\": \"log cross-section\"},\n {\"box_2d\": [809, 628, 872, 672], \"label\": \"log cross-section\"},\n {\"box_2d\": [833, 598, 891, 642], \"label\": \"log cross-section\"},\n {\"box_2d\": [853, 555, 912, 603], \"label\": \"log cross-section\"},\n {\"box_2d\": [748, 647, 809, 689], \"label\": \"log cross-section\"},\n {\"box_2d\": [608, 616, 669, 666], \"label\": \"log cross-section\"},\n {\"box_2d\": [673, 583, 728, 628], \"label\": \"log cross-section\"},\n {\"box_2d\": [697, 362, 758, 408], \"label\": \"log cross-section\"},\n {\"box_2d\": [644, 444, 697, 483], \"label\": \"log cross-section\"},\n {\"box_2d\": [809, 519, 856, 556], \"label\": \"log cross-section\"},\n {\"box_2d\": [762, 523, 812, 561], \"label\": \"log cross-section\"},\n {\"box_2d\": [712, 672, 762, 711], \"label\": \"log cross-section\"},\n {\"box_2d\": [689, 727, 738, 769], \"label\": \"log cross-section\"},\n {\"box_2d\": [416, 691, 469, 736], \"label\": \"log cross-section\"},\n {\"box_2d\": [320, 731, 378, 775], \"label\": \"log cross-section\"},\n {\"box_2d\": [367, 716, 419, 755], \"label\": \"log cross-section\"},\n {\"box_2d\": [222, 602, 281, 645], \"label\": \"log cross-section\"},\n {\"box_2d\": [173, 583, 222, 622], \"label\": \"log cross-section\"},\n {\"box_2d\": [114, 584, 166, 622], \"label\": \"log cross-section\"},\n {\"box_2d\": [84, 628, 125, 659], \"label\": \"log cross-section\"},\n {\"box_2d\": [100, 466, 145, 498], \"label\": \"log cross-section\"},\n {\"box_2d\": [180, 469, 223, 500], \"label\": \"log cross-section\"},\n {\"box_2d\": [184, 495, 234, 533], \"label\": \"log cross-section\"},\n {\"box_2d\": [270, 488, 320, 528], \"label\": \"log cross-section\"},\n {\"box_2d\": [209, 519, 255, 552], \"label\": \"log cross-section\"},\n {\"box_2d\": [231, 489, 273, 522], \"label\": \"log cross-section\"},\n {\"box_2d\": [380, 430, 431, 473], \"label\": \"log cross-section\"},\n {\"box_2d\": [298, 262, 345, 302], \"label\": \"log cross-section\"},\n {\"box_2d\": [214, 314, 270, 358], \"label\": \"log cross-section\"},\n {\"box_2d\": [562, 698, 611, 738], \"label\": \"log cross-section\"},\n {\"box_2d\": [483, 667, 534, 708], \"label\": \"log cross-section\"},\n {\"box_2d\": [509, 503, 558, 538], \"label\": \"log cross-section\"},\n {\"box_2d\": [662, 620, 711, 661], \"label\": \"log cross-section\"},\n {\"box_2d\": [706, 625, 756, 666], \"label\": \"log cross-section\"},\n {\"box_2d\": [823, 759, 883, 819], \"label\": \"log cross-section\"},\n {\"box_2d\": [641, 697, 694, 741], \"label\": \"log cross-section\"},\n {\"box_2d\": [161, 780, 206, 811], \"label\": \"log cross-section\"},\n {\"box_2d\": [162, 742, 203, 775], \"label\": \"log cross-section\"},\n {\"box_2d\": [256, 770, 305, 817], \"label\": \"log cross-section\"},\n {\"box_2d\": [222, 825, 269, 862], \"label\": \"log cross-section\"},\n {\"box_2d\": [306, 616, 361, 656], \"label\": \"log cross-section\"},\n {\"box_2d\": [409, 603, 456, 641], \"label\": \"log cross-section\"},\n {\"box_2d\": [448, 575, 492, 609], \"label\": \"log cross-section\"}\n]\n```", "correct": false, "input_tokens": 1228, "output_tokens": 4520, "elapsed_seconds": 45.67253616696689, "metadata": {"match_method": "map", "num_predictions": 122, "num_ground_truth": 206, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.4667292535305023, "attempts": 1, "retries": 0, "total_seconds": 45.6997}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 38, "image": "DJI_20230529111632_0087_T_JPG_jpg.rf.a0bcf6f9fb3a8158bd511491a1f333d9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [631, 681, 645, 694], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [525, 756, 539, 770], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [264, 884, 278, 895], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [266, 845, 278, 855], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [536, 594, 548, 603], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [644, 477, 658, 486], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [258, 969, 270, 978], \"label\": \"solar panel hot spot\"}\n]\n```", "correct": false, "input_tokens": 1228, "output_tokens": 271, "elapsed_seconds": 8.784550625015981, "metadata": {"match_method": "map", "num_predictions": 7, "num_ground_truth": 9, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3366336524486542, "attempts": 1, "retries": 0, "total_seconds": 8.8072}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 39, "image": "IMG_20260128_081648_jpg.rf.195a895d6fe7552e4b9d0fc4e44e0f46.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [618, 76, 725, 152], \"label\": \"white standard price tag\"},\n {\"box_2d\": [624, 151, 724, 232], \"label\": \"white standard price tag\"},\n {\"box_2d\": [624, 233, 726, 290], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [625, 290, 726, 370], \"label\": \"white standard price tag\"},\n {\"box_2d\": [626, 369, 726, 419], \"label\": \"white standard price tag\"},\n {\"box_2d\": [626, 418, 728, 492], \"label\": \"white standard price tag\"},\n {\"box_2d\": [627, 492, 729, 571], \"label\": \"white standard price tag\"},\n {\"box_2d\": [627, 570, 729, 642], \"label\": \"white standard price tag\"},\n {\"box_2d\": [620, 637, 954, 735], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [618, 714, 954, 804], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [628, 855, 729, 932], \"label\": \"white standard price tag\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 418, "elapsed_seconds": 30.54877787490841, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 31.0156}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 40, "image": "m4_tire_2024-10-17_18_png_jpg.rf.b3da826931757f1612878ecf9680a260.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [92, 300, 179, 519], \"label\": \"tire size text\"},\n {\"box_2d\": [708, 215, 774, 267], \"label\": \"tire size text\"}\n]\n```", "correct": false, "input_tokens": 1226, "output_tokens": 83, "elapsed_seconds": 23.685711166937836, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3366336226463318, "attempts": 1, "retries": 0, "total_seconds": 24.0934}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 41, "image": "IMG_3864_JPG.rf.85dd012a4824e9d1050c085dd0a2e519.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [558, 39, 648, 168], \"label\": \"10000 poker chip\"},\n {\"box_2d\": [467, 98, 545, 217], \"label\": \"500 poker chip\"},\n {\"box_2d\": [351, 224, 419, 335], \"label\": \"100 poker chip\"},\n {\"box_2d\": [430, 286, 507, 403], \"label\": \"500 poker chip\"},\n {\"box_2d\": [522, 217, 608, 343], \"label\": \"500 poker chip\"},\n {\"box_2d\": [606, 130, 702, 263], \"label\": \"500 poker chip\"},\n {\"box_2d\": [661, 239, 766, 378], \"label\": \"500 poker chip\"},\n {\"box_2d\": [575, 300, 669, 430], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [518, 398, 604, 524], \"label\": \"500 poker chip\"},\n {\"box_2d\": [361, 398, 429, 506], \"label\": \"500 poker chip\"},\n {\"box_2d\": [429, 403, 505, 515], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [440, 513, 518, 631], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [405, 612, 479, 729], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [447, 709, 526, 832], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [426, 818, 504, 945], \"label\": \"100 poker chip\"},\n {\"box_2d\": [514, 780, 601, 912], \"label\": \"100 poker chip\"},\n {\"box_2d\": [516, 650, 602, 780], \"label\": \"500 poker chip\"},\n {\"box_2d\": [529, 524, 617, 654], \"label\": \"500 poker chip\"},\n {\"box_2d\": [600, 421, 697, 553], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [676, 497, 785, 638], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [674, 637, 784, 781], \"label\": \"500 poker chip\"},\n {\"box_2d\": [594, 708, 691, 847], \"label\": \"100 poker chip\"},\n {\"box_2d\": [685, 799, 796, 948], \"label\": \"1000 poker chip\"}\n]\n```", "correct": true, "input_tokens": 1229, "output_tokens": 894, "elapsed_seconds": 35.985309417010285, "metadata": {"match_method": "map", "num_predictions": 23, "num_ground_truth": 24, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9702969789505005, "attempts": 1, "retries": 0, "total_seconds": 37.2493}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 42, "image": "1217_2_jpg.rf.e0a2a15bcd44d66668e689fd59ca61fe.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [765, 165, 855, 253], \"label\": \"black bishop\"},\n {\"box_2d\": [393, 642, 474, 731], \"label\": \"white knight\"},\n {\"box_2d\": [520, 400, 594, 480], \"label\": \"white rook\"},\n {\"box_2d\": [888, 885, 1000, 999], \"label\": \"black queen\"},\n {\"box_2d\": [898, 2, 996, 113], \"label\": \"white knight\"},\n {\"box_2d\": [171, 20, 239, 97], \"label\": \"black pawn\"},\n {\"box_2d\": [433, 902, 502, 979], \"label\": \"white pawn\"},\n {\"box_2d\": [759, 17, 845, 115], \"label\": \"white rook\"},\n {\"box_2d\": [781, 398, 854, 469], \"label\": \"black pawn\"},\n {\"box_2d\": [182, 767, 255, 839], \"label\": \"white pawn\"},\n {\"box_2d\": [3, 910, 86, 988], \"label\": \"black pawn\"},\n {\"box_2d\": [27, 139, 128, 236], \"label\": \"white bishop\"},\n {\"box_2d\": [3, 403, 125, 490], \"label\": \"white queen\"},\n {\"box_2d\": [385, 508, 473, 596], \"label\": \"black bishop\"},\n {\"box_2d\": [149, 649, 224, 719], \"label\": \"white pawn\"},\n {\"box_2d\": [650, 880, 720, 954], \"label\": \"white pawn\"},\n {\"box_2d\": [546, 2, 625, 115], \"label\": \"black knight\"},\n {\"box_2d\": [513, 124, 600, 231], \"label\": \"black queen\"},\n {\"box_2d\": [560, 610, 629, 681], \"label\": \"white pawn\"},\n {\"box_2d\": [285, 155, 355, 228], \"label\": \"white pawn\"},\n {\"box_2d\": [748, 748, 853, 854], \"label\": \"black king\"},\n {\"box_2d\": [311, 871, 381, 949], \"label\": \"black pawn\"},\n {\"box_2d\": [881, 399, 974, 480], \"label\": \"black rook\"},\n {\"box_2d\": [4, 509, 127, 600], \"label\": \"white king\"},\n {\"box_2d\": [525, 276, 597, 346], \"label\": \"black pawn\"},\n {\"box_2d\": [404, 300, 474, 370], \"label\": \"white pawn\"},\n {\"box_2d\": [270, 626, 362, 715], \"label\": \"white bishop\"},\n {\"box_2d\": [288, 388, 358, 456], \"label\": \"black pawn\"},\n {\"box_2d\": [410, 28, 481, 108], \"label\": \"white pawn\"},\n {\"box_2d\": [899, 642, 995, 723], \"label\": \"black rook\"},\n {\"box_2d\": [649, 631, 738, 721], \"label\": \"white queen\"},\n {\"box_2d\": [423, 768, 502, 871], \"label\": \"black knight\"}\n]\n```", "correct": true, "input_tokens": 1259, "output_tokens": 1117, "elapsed_seconds": 29.433292499976233, "metadata": {"match_method": "map", "num_predictions": 32, "num_ground_truth": 32, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 29.7256}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 43, "image": "fabric-defect_904_jpg.rf.1cf391ad7827c3f000e3c8ea35472e5d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [402, 444, 511, 558], \"label\": \"fabric cut\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 47, "elapsed_seconds": 31.0201829590369, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 31.0476}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 44, "image": "20210325_204058_jpg.rf.29e7808c087a71e473dd9c19badaff2c.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [562, 691, 742, 875], \"label\": \"10 euro cent coin\"},\n {\"box_2d\": [702, 439, 914, 650], \"label\": \"1 euro coin\"},\n {\"box_2d\": [366, 645, 534, 817], \"label\": \"2 euro cent coin\"},\n {\"box_2d\": [148, 431, 366, 645], \"label\": \"50 euro cent coin\"},\n {\"box_2d\": [348, 267, 577, 498], \"label\": \"2 euro coin\"},\n {\"box_2d\": [256, 61, 444, 248], \"label\": \"5 euro cent coin\"},\n {\"box_2d\": [500, 509, 647, 658], \"label\": \"1 euro cent coin\"},\n {\"box_2d\": [605, 148, 808, 353], \"label\": \"20 euro cent coin\"}\n]\n```", "correct": true, "input_tokens": 1272, "output_tokens": 308, "elapsed_seconds": 38.993180291960016, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 39.0152}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 45, "image": "9999942_00000_d_0000135_jpg.rf.52553444f2adb8d7ba245527bc1de4b5.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [548, 535, 593, 603], \"label\": \"van\"},\n {\"box_2d\": [609, 520, 650, 591], \"label\": \"car\"},\n {\"box_2d\": [606, 672, 646, 722], \"label\": \"car\"},\n {\"box_2d\": [572, 372, 634, 449], \"label\": \"car\"},\n {\"box_2d\": [525, 11, 569, 77], \"label\": \"van\"},\n {\"box_2d\": [694, 102, 792, 158], \"label\": \"car\"},\n {\"box_2d\": [812, 138, 926, 185], \"label\": \"car\"},\n {\"box_2d\": [237, 376, 336, 417], \"label\": \"truck\"},\n {\"box_2d\": [319, 174, 381, 207], \"label\": \"car\"},\n {\"box_2d\": [387, 151, 434, 185], \"label\": \"car\"},\n {\"box_2d\": [191, 270, 260, 303], \"label\": \"car\"},\n {\"box_2d\": [134, 396, 200, 424], \"label\": \"car\"},\n {\"box_2d\": [92, 282, 170, 315], \"label\": \"van\"},\n {\"box_2d\": [20, 405, 78, 432], \"label\": \"car\"},\n {\"box_2d\": [1, 381, 41, 402], \"label\": \"van\"},\n {\"box_2d\": [27, 297, 94, 324], \"label\": \"car\"},\n {\"box_2d\": [0, 308, 25, 335], \"label\": \"car\"},\n {\"box_2d\": [46, 240, 101, 269], \"label\": \"car\"},\n {\"box_2d\": [0, 189, 34, 258], \"label\": \"van\"},\n {\"box_2d\": [94, 172, 130, 232], \"label\": \"car\"},\n {\"box_2d\": [126, 169, 165, 229], \"label\": \"car\"},\n {\"box_2d\": [160, 169, 193, 211], \"label\": \"car\"},\n {\"box_2d\": [237, 132, 291, 181], \"label\": \"car\"}\n]\n```", "correct": false, "input_tokens": 1215, "output_tokens": 776, "elapsed_seconds": 35.859551750007086, "metadata": {"match_method": "map", "num_predictions": 23, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.24767033755779266, "attempts": 1, "retries": 0, "total_seconds": 35.9655}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 46, "image": "tire_2024-09-25_27_png_jpg.rf.86e579b04ca3a3e9f7a480c31239539e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [77, 274, 161, 471], \"label\": \"tire size text\"},\n {\"box_2d\": [332, 807, 456, 860], \"label\": \"tire size text\"},\n {\"box_2d\": [896, 472, 950, 678], \"label\": \"tire size text\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 119, "elapsed_seconds": 21.0496697089402, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5544553995132446, "attempts": 1, "retries": 0, "total_seconds": 21.5624}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 47, "image": "Container-144_jpg.rf.4f556fc57071dc9d870c03989b923d26.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [248, 556, 275, 736], \"label\": \"shipping container number\"},\n {\"box_2d\": [283, 558, 304, 607], \"label\": \"container ISO type code\"}\n]\n```", "correct": true, "input_tokens": 1232, "output_tokens": 85, "elapsed_seconds": 8.30495149991475, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 8.3233}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 48, "image": "frame_0151_jpg.rf.6c7fef6c392aec746239d36e4257e862.jpg", "expected": "", "predicted": "```json\n[{\"box_2d\": [779, 580, 847, 620], \"label\": \"garlic on conveyor\"},\n{\"box_2d\": [468, 675, 535, 709], \"label\": \"garlic on conveyor\"},\n{\"box_2d\": [417, 567, 483, 606], \"label\": \"garlic on conveyor\"},\n{\"box_2d\": [349, 648, 405, 681], \"label\": \"garlic on conveyor\"},\n{\"box_2d\": [264, 540, 319, 573], \"label\": \"garlic on conveyor\"},\n{\"box_2d\": [165, 533, 224, 566], \"label\": \"garlic on conveyor\"},\n{\"box_2d\": [491, 466, 557, 502], \"label\": \"garlic on conveyor\"},\n{\"box_2d\": [275, 444, 344, 483], \"label\": \"garlic on conveyor\"},\n{\"box_2d\": [197, 441, 260, 476], \"label\": \"garlic on conveyor\"},\n{\"box_2d\": [116, 426, 174, 459], \"label\": \"garlic on conveyor\"},\n{\"box_2d\": [641, 369, 711, 412], \"label\": \"garlic on conveyor\"},\n{\"box_2d\": [579, 366, 647, 406], \"label\": \"garlic on conveyor\"},\n{\"box_2d\": [338, 333, 408, 372], \"label\": \"garlic on conveyor\"},\n{\"box_2d\": [216, 339, 281, 376], \"label\": \"garlic on conveyor\"},\n{\"box_2d\": [110, 333, 171, 370], \"label\": \"garlic on conveyor\"},\n{\"box_2d\": [895, 238, 962, 286], \"label\": \"garlic on conveyor\"},\n{\"box_2d\": [719, 236, 797, 282], \"label\": \"garlic on conveyor\"},\n{\"box_2d\": [500, 254, 571, 297], \"label\": \"garlic on conveyor\"},\n{\"box_2d\": [468, 207, 529, 244], \"label\": \"garlic on conveyor\"},\n{\"box_2d\": [292, 248, 355, 286], \"label\": \"garlic on conveyor\"},\n{\"box_2d\": [140, 237, 206, 279], \"label\": \"garlic on conveyor\"},\n{\"box_2d\": [788, 67, 871, 131], \"label\": \"garlic on conveyor\"},\n{\"box_2d\": [617, 86, 694, 132], \"label\": \"garlic on conveyor\"},\n{\"box_2d\": [425, 83, 501, 139], \"label\": \"garlic on conveyor\"},\n{\"box_2d\": [301, 114, 365, 162], \"label\": \"garlic on conveyor\"},\n{\"box_2d\": [130, 128, 194, 172], \"label\": \"garlic on conveyor\"},\n{\"box_2d\": [29, 549, 75, 581], \"label\": \"garlic on conveyor\"},\n{\"box_2d\": [2, 610, 56, 636], \"label\": \"garlic on conveyor\"},\n{\"box_2d\": [0, 513, 51, 546], \"label\": \"garlic on conveyor\"},\n{\"box_2d\": [17, 443, 56, 470], \"label\": \"garlic on conveyor\"},\n{\"box_2d\": [6, 414, 51, 444], \"label\": \"garlic on conveyor\"},\n{\"box_2d\": [5, 381, 47, 410], \"label\": \"garlic on conveyor\"},\n{\"box_2d\": [1, 347, 47, 382], \"label\": \"garlic on conveyor\"},\n{\"box_2d\": [0, 252, 46, 283], \"label\": \"garlic on conveyor\"}]```", "correct": true, "input_tokens": 1238, "output_tokens": 1172, "elapsed_seconds": 53.297432207968086, "metadata": {"match_method": "map", "num_predictions": 34, "num_ground_truth": 27, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 53.4379}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 49, "image": "4106884_ContLeftUpper_f_jpg.rf.92488d92926163302f246be3b53efb13.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [520, 62, 545, 86], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [524, 145, 550, 166], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [529, 297, 550, 323], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [529, 381, 548, 400], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [530, 458, 551, 479], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [532, 616, 551, 639], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [410, 222, 439, 241], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [416, 300, 444, 322], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [418, 378, 445, 399], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [423, 461, 452, 479], \"label\": \"shipping container wall dent\"}\n]\n```", "correct": false, "input_tokens": 1219, "output_tokens": 380, "elapsed_seconds": 34.09575804206543, "metadata": {"match_method": "map", "num_predictions": 10, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 34.2542}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 50, "image": "img_459031286691397716_png.rf.6de9abc735878b2b2cc1f1fa95486a5f.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [7, 294, 129, 434], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [36, 159, 174, 307], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [46, 421, 165, 558], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [10, 544, 134, 683], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [47, 670, 178, 811], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [134, 675, 267, 818], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [96, 544, 217, 685], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [131, 413, 254, 559], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [93, 287, 219, 430], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [125, 143, 259, 294], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [219, 125, 355, 284], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [184, 274, 314, 424], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [227, 405, 353, 560], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [186, 541, 312, 691], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [229, 676, 362, 833], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [329, 679, 468, 846], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [285, 535, 420, 694], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [281, 255, 413, 416], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [321, 99, 459, 272], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [329, 391, 459, 553], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [434, 77, 576, 261], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [389, 240, 526, 410], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [441, 389, 578, 558], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [395, 535, 530, 701], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [444, 681, 583, 860], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [570, 685, 712, 872], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [514, 530, 655, 705], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [563, 372, 704, 548], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [508, 222, 648, 399], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [557, 44, 698, 241], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [694, 15, 841, 224], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [644, 204, 787, 391], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [702, 365, 847, 551], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [645, 531, 790, 716], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [707, 695, 853, 892], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [850, 705, 1000, 916], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [790, 529, 945, 722], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [845, 353, 999, 549], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [788, 177, 944, 377], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [840, 0, 1000, 198], \"label\": \"empty portable gas cylinder\"}\n]\n```", "correct": true, "input_tokens": 1203, "output_tokens": 1480, "elapsed_seconds": 61.145940875052474, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 40, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 61.259}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 51, "image": "1668147211__jpg.rf.0ee3d637cd990a070a8c1bcc234c9d5a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [56, 650, 111, 680], \"label\": \"six die\"},\n {\"box_2d\": [91, 675, 150, 707], \"label\": \"three die\"},\n {\"box_2d\": [151, 770, 204, 801], \"label\": \"two die\"},\n {\"box_2d\": [287, 740, 336, 769], \"label\": \"three die\"},\n {\"box_2d\": [291, 871, 339, 901], \"label\": \"five die\"},\n {\"box_2d\": [430, 809, 476, 835], \"label\": \"four die\"},\n {\"box_2d\": [479, 864, 530, 894], \"label\": \"one die\"},\n {\"box_2d\": [504, 843, 558, 874], \"label\": \"five die\"},\n {\"box_2d\": [506, 801, 560, 833], \"label\": \"five die\"},\n {\"box_2d\": [585, 798, 634, 828], \"label\": \"two die\"},\n {\"box_2d\": [602, 839, 645, 867], \"label\": \"one die\"},\n {\"box_2d\": [603, 880, 657, 912], \"label\": \"two die\"},\n {\"box_2d\": [652, 834, 699, 862], \"label\": \"one die\"},\n {\"box_2d\": [654, 801, 708, 832], \"label\": \"two die\"},\n {\"box_2d\": [696, 618, 750, 648], \"label\": \"three die\"},\n {\"box_2d\": [855, 581, 906, 609], \"label\": \"two die\"},\n {\"box_2d\": [782, 537, 829, 563], \"label\": \"one die\"},\n {\"box_2d\": [778, 472, 829, 499], \"label\": \"three die\"},\n {\"box_2d\": [661, 527, 709, 555], \"label\": \"four die\"},\n {\"box_2d\": [620, 508, 664, 533], \"label\": \"one die\"},\n {\"box_2d\": [664, 451, 713, 478], \"label\": \"two die\"},\n {\"box_2d\": [686, 426, 738, 455], \"label\": \"four die\"},\n {\"box_2d\": [657, 399, 703, 424], \"label\": \"six die\"},\n {\"box_2d\": [580, 417, 629, 444], \"label\": \"four die\"},\n {\"box_2d\": [603, 380, 655, 410], \"label\": \"three die\"},\n {\"box_2d\": [620, 310, 671, 338], \"label\": \"one die\"},\n {\"box_2d\": [531, 305, 582, 334], \"label\": \"one die\"},\n {\"box_2d\": [637, 210, 694, 242], \"label\": \"five die\"},\n {\"box_2d\": [624, 178, 671, 206], \"label\": \"six die\"},\n {\"box_2d\": [760, 223, 815, 255], \"label\": \"five die\"},\n {\"box_2d\": [892, 114, 941, 141], \"label\": \"one die\"},\n {\"box_2d\": [655, 28, 701, 56], \"label\": \"six die\"},\n {\"box_2d\": [434, 200, 484, 228], \"label\": \"five die\"},\n {\"box_2d\": [375, 194, 417, 219], \"label\": \"three die\"},\n {\"box_2d\": [255, 194, 313, 226], \"label\": \"five die\"},\n {\"box_2d\": [212, 219, 267, 251], \"label\": \"one die\"},\n {\"box_2d\": [250, 239, 301, 267], \"label\": \"two die\"},\n {\"box_2d\": [109, 244, 161, 272], \"label\": \"three die\"},\n {\"box_2d\": [156, 256, 210, 287], \"label\": \"five die\"},\n {\"box_2d\": [218, 297, 272, 324], \"label\": \"two die\"},\n {\"box_2d\": [229, 342, 282, 372], \"label\": \"five die\"},\n {\"box_2d\": [190, 367, 247, 398], \"label\": \"three die\"},\n {\"box_2d\": [244, 372, 303, 403], \"label\": \"one die\"},\n {\"box_2d\": [274, 401, 321, 426], \"label\": \"one die\"},\n {\"box_2d\": [331, 370, 382, 398], \"label\": \"six die\"},\n {\"box_2d\": [393, 419, 437, 444], \"label\": \"five die\"},\n {\"box_2d\": [355, 448, 410, 479], \"label\": \"three die\"},\n {\"box_2d\": [178, 456, 230, 484], \"label\": \"one die\"},\n {\"box_2d\": [244, 459, 303, 490], \"label\": \"five die\"},\n {\"box_2d\": [237, 491, 294, 521], \"label\": \"three die\"},\n {\"box_2d\": [351, 557, 410, 589], \"label\": \"six die\"}\n]\n```", "correct": false, "input_tokens": 1252, "output_tokens": 1793, "elapsed_seconds": 80.68261058302596, "metadata": {"match_method": "map", "num_predictions": 51, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6951320171356201, "attempts": 1, "retries": 0, "total_seconds": 80.7401}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 52, "image": "3533container_jpg.rf.12bfe57075507c019cfd5dc24dd08b40.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [595, 293, 712, 600], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [365, 224, 463, 353], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [468, 43, 567, 200], \"label\": \"shipping container wall dent\"}\n]\n```", "correct": false, "input_tokens": 1219, "output_tokens": 122, "elapsed_seconds": 9.936027665971778, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 10.0574}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 53, "image": "DJI_20230529095121_0346_T_JPG_jpg.rf.a2baa2ffdce5ec84e5f5d22342f6b310.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [703, 464, 725, 483], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [705, 502, 728, 520], \"label\": \"solar panel hot spot\"}\n]\n```", "correct": false, "input_tokens": 1228, "output_tokens": 86, "elapsed_seconds": 4.653108042082749, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.2574257552623749, "attempts": 1, "retries": 0, "total_seconds": 4.6787}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 54, "image": "IMG_20250815_170041_jpg.rf.a65978ab35e2cb48c68d9eebdeaab87b.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [584, 309, 672, 412], \"label\": \"barcode\"},\n {\"box_2d\": [666, 0, 756, 75], \"label\": \"barcode\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 77, "elapsed_seconds": 73.21825262496714, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 73.6711}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 55, "image": "1_000070_png.rf.a431761eff2c713a18daff7bade25bde.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [779, 507, 795, 517], \"label\": \"tire spike normal\"},\n {\"box_2d\": [672, 449, 691, 459], \"label\": \"tire spike normal\"},\n {\"box_2d\": [826, 577, 845, 586], \"label\": \"tire spike normal\"},\n {\"box_2d\": [650, 336, 667, 344], \"label\": \"tire spike normal\"},\n {\"box_2d\": [739, 289, 756, 297], \"label\": \"tire spike normal\"},\n {\"box_2d\": [203, 355, 223, 365], \"label\": \"tire spike normal\"},\n {\"box_2d\": [306, 289, 323, 297], \"label\": \"tire spike normal\"},\n {\"box_2d\": [220, 249, 238, 256], \"label\": \"tire spike normal\"},\n {\"box_2d\": [163, 195, 181, 202], \"label\": \"tire spike normal\"},\n {\"box_2d\": [213, 470, 235, 480], \"label\": \"tire spike normal\"},\n {\"box_2d\": [196, 526, 217, 535], \"label\": \"tire spike normal\"},\n {\"box_2d\": [258, 599, 280, 608], \"label\": \"tire spike normal\"},\n {\"box_2d\": [230, 653, 250, 663], \"label\": \"tire spike normal\"},\n {\"box_2d\": [280, 720, 300, 727], \"label\": \"tire spike normal\"},\n {\"box_2d\": [239, 767, 260, 774], \"label\": \"tire spike normal\"},\n {\"box_2d\": [304, 822, 322, 829], \"label\": \"tire spike normal\"},\n {\"box_2d\": [389, 860, 405, 865], \"label\": \"tire spike normal\"},\n {\"box_2d\": [401, 922, 415, 927], \"label\": \"tire spike normal\"},\n {\"box_2d\": [301, 899, 319, 904], \"label\": \"tire spike normal\"},\n {\"box_2d\": [315, 947, 333, 952], \"label\": \"tire spike normal\"},\n {\"box_2d\": [432, 962, 444, 966], \"label\": \"tire spike normal\"},\n {\"box_2d\": [757, 949, 766, 954], \"label\": \"tire spike normal\"},\n {\"box_2d\": [702, 942, 718, 946], \"label\": \"tire spike normal\"},\n {\"box_2d\": [712, 889, 730, 894], \"label\": \"tire spike normal\"},\n {\"box_2d\": [800, 756, 822, 764], \"label\": \"tire spike normal\"},\n {\"box_2d\": [805, 896, 816, 899], \"label\": \"tire spike absent\"},\n {\"box_2d\": [791, 851, 811, 858], \"label\": \"tire spike absent\"},\n {\"box_2d\": [841, 804, 864, 811], \"label\": \"tire spike absent\"},\n {\"box_2d\": [833, 699, 861, 709], \"label\": \"tire spike absent\"},\n {\"box_2d\": [788, 639, 807, 646], \"label\": \"tire spike absent\"},\n {\"box_2d\": [755, 396, 772, 402], \"label\": \"tire spike absent\"},\n {\"box_2d\": [758, 229, 783, 241], \"label\": \"tire spike absent\"},\n {\"box_2d\": [716, 180, 737, 186], \"label\": \"tire spike absent\"},\n {\"box_2d\": [633, 141, 649, 149], \"label\": \"tire spike normal\"},\n {\"box_2d\": [696, 105, 711, 111], \"label\": \"tire spike normal\"},\n {\"box_2d\": [596, 75, 610, 80], \"label\": \"tire spike normal\"},\n {\"box_2d\": [676, 53, 687, 58], \"label\": \"tire spike normal\"},\n {\"box_2d\": [328, 39, 342, 43], \"label\": \"tire spike normal\"},\n {\"box_2d\": [290, 59, 304, 65], \"label\": \"tire spike normal\"},\n {\"box_2d\": [196, 94, 211, 100], \"label\": \"tire spike normal\"},\n {\"box_2d\": [278, 128, 301, 136], \"label\": \"tire spike absent\"},\n {\"box_2d\": [311, 399, 333, 409], \"label\": \"tire spike absent\"}\n]\n```", "correct": false, "input_tokens": 1222, "output_tokens": 1515, "elapsed_seconds": 19.57675524998922, "metadata": {"match_method": "map", "num_predictions": 42, "num_ground_truth": 46, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 19.6599}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 56, "image": "egg-detection_image148_jpg.rf.7ef43d25f8e9b9b7f3d805f238830ff7.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [56, 570, 134, 625], \"label\": \"egg\"},\n {\"box_2d\": [160, 517, 240, 576], \"label\": \"egg\"},\n {\"box_2d\": [105, 613, 183, 676], \"label\": \"egg\"},\n {\"box_2d\": [21, 705, 92, 759], \"label\": \"egg\"},\n {\"box_2d\": [111, 686, 187, 738], \"label\": \"egg\"},\n {\"box_2d\": [224, 699, 300, 754], \"label\": \"egg\"},\n {\"box_2d\": [278, 661, 359, 719], \"label\": \"egg\"},\n {\"box_2d\": [336, 714, 417, 770], \"label\": \"egg\"},\n {\"box_2d\": [401, 632, 483, 694], \"label\": \"egg\"},\n {\"box_2d\": [408, 532, 489, 594], \"label\": \"egg\"},\n {\"box_2d\": [443, 761, 550, 804], \"label\": \"egg\"},\n {\"box_2d\": [515, 716, 595, 769], \"label\": \"egg\"},\n {\"box_2d\": [624, 757, 705, 809], \"label\": \"egg\"},\n {\"box_2d\": [633, 699, 717, 758], \"label\": \"egg\"},\n {\"box_2d\": [581, 660, 664, 719], \"label\": \"egg\"},\n {\"box_2d\": [587, 595, 673, 658], \"label\": \"egg\"},\n {\"box_2d\": [705, 618, 787, 676], \"label\": \"egg\"},\n {\"box_2d\": [753, 658, 836, 717], \"label\": \"egg\"},\n {\"box_2d\": [739, 742, 816, 795], \"label\": \"egg\"},\n {\"box_2d\": [802, 698, 880, 755], \"label\": \"egg\"},\n {\"box_2d\": [775, 519, 855, 581], \"label\": \"egg\"},\n {\"box_2d\": [911, 677, 985, 733], \"label\": \"egg\"},\n {\"box_2d\": [891, 731, 976, 773], \"label\": \"egg\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 791, "elapsed_seconds": 67.65682250005193, "metadata": {"match_method": "map", "num_predictions": 23, "num_ground_truth": 23, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 67.7942}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 57, "image": "wood-log-detection_024_png_jpg.rf.263e49a755104b6d29dbdffe768891e9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [66, 294, 189, 434], \"label\": \"log cross-section\"},\n {\"box_2d\": [103, 412, 161, 478], \"label\": \"log cross-section\"},\n {\"box_2d\": [125, 475, 167, 502], \"label\": \"log cross-section\"},\n {\"box_2d\": [150, 444, 217, 508], \"label\": \"log cross-section\"},\n {\"box_2d\": [147, 320, 203, 378], \"label\": \"log cross-section\"},\n {\"box_2d\": [169, 389, 234, 428], \"label\": \"log cross-section\"},\n {\"box_2d\": [125, 241, 180, 300], \"label\": \"log cross-section\"},\n {\"box_2d\": [144, 283, 198, 330], \"label\": \"log cross-section\"},\n {\"box_2d\": [173, 247, 236, 320], \"label\": \"log cross-section\"},\n {\"box_2d\": [191, 320, 267, 388], \"label\": \"log cross-section\"},\n {\"box_2d\": [216, 239, 259, 286], \"label\": \"log cross-section\"},\n {\"box_2d\": [223, 294, 267, 341], \"label\": \"log cross-section\"},\n {\"box_2d\": [252, 244, 336, 327], \"label\": \"log cross-section\"},\n {\"box_2d\": [308, 242, 355, 306], \"label\": \"log cross-section\"},\n {\"box_2d\": [248, 323, 344, 372], \"label\": \"log cross-section\"},\n {\"box_2d\": [278, 352, 353, 405], \"label\": \"log cross-section\"},\n {\"box_2d\": [238, 388, 284, 434], \"label\": \"log cross-section\"},\n {\"box_2d\": [202, 423, 242, 480], \"label\": \"log cross-section\"},\n {\"box_2d\": [231, 439, 275, 484], \"label\": \"log cross-section\"},\n {\"box_2d\": [267, 419, 308, 481], \"label\": \"log cross-section\"},\n {\"box_2d\": [298, 416, 359, 500], \"label\": \"log cross-section\"},\n {\"box_2d\": [306, 392, 355, 423], \"label\": \"log cross-section\"},\n {\"box_2d\": [292, 473, 336, 517], \"label\": \"log cross-section\"},\n {\"box_2d\": [216, 484, 256, 523], \"label\": \"log cross-section\"},\n {\"box_2d\": [250, 489, 302, 533], \"label\": \"log cross-section\"},\n {\"box_2d\": [184, 511, 227, 550], \"label\": \"log cross-section\"},\n {\"box_2d\": [153, 533, 223, 600], \"label\": \"log cross-section\"},\n {\"box_2d\": [120, 595, 181, 691], \"label\": \"log cross-section\"},\n {\"box_2d\": [150, 653, 223, 725], \"label\": \"log cross-section\"},\n {\"box_2d\": [175, 597, 244, 659], \"label\": \"log cross-section\"},\n {\"box_2d\": [223, 520, 277, 567], \"label\": \"log cross-section\"},\n {\"box_2d\": [222, 564, 267, 598], \"label\": \"log cross-section\"},\n {\"box_2d\": [206, 616, 270, 686], \"label\": \"log cross-section\"},\n {\"box_2d\": [200, 681, 255, 744], \"label\": \"log cross-section\"},\n {\"box_2d\": [252, 659, 319, 738], \"label\": \"log cross-section\"},\n {\"box_2d\": [295, 678, 350, 744], \"label\": \"log cross-section\"},\n {\"box_2d\": [269, 617, 333, 666], \"label\": \"log cross-section\"},\n {\"box_2d\": [259, 558, 342, 628], \"label\": \"log cross-section\"},\n {\"box_2d\": [295, 527, 355, 581], \"label\": \"log cross-section\"},\n {\"box_2d\": [327, 619, 355, 689], \"label\": \"log cross-section\"}\n]\n```", "correct": false, "input_tokens": 1228, "output_tokens": 1491, "elapsed_seconds": 41.07719966699369, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 40, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.20912306010723114, "attempts": 1, "retries": 0, "total_seconds": 41.1001}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 58, "image": "img_458587397241176242_png.rf.41b1d861ca437ce5097848dacad76db8.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [742, 427, 868, 606], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [624, 439, 744, 594], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [513, 444, 629, 591], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [414, 452, 526, 587], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [320, 458, 430, 585], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [231, 463, 345, 588], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [149, 468, 257, 585], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [101, 583, 208, 709], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [182, 580, 292, 711], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [269, 577, 378, 711], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [364, 576, 478, 714], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [465, 576, 584, 718], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [575, 577, 699, 728], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [694, 573, 819, 731], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [820, 569, 969, 741], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [877, 731, 1000, 913], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [746, 723, 882, 899], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [623, 717, 747, 885], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [504, 712, 629, 871], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [397, 709, 520, 860], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [298, 705, 416, 845], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [208, 701, 319, 839], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [121, 701, 229, 832], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [128, 365, 226, 477], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [172, 253, 272, 369], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [250, 244, 349, 362], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [333, 227, 439, 355], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [424, 211, 533, 345], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [520, 191, 631, 336], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [623, 171, 738, 326], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [736, 148, 853, 314], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [852, 123, 989, 300], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [810, 269, 943, 449], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [866, 415, 1000, 588], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [689, 290, 811, 463], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [579, 305, 692, 463], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [475, 321, 585, 459], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [377, 334, 493, 468], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [289, 343, 401, 471], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [205, 354, 317, 477], \"label\": \"empty portable gas cylinder\"}\n]\n```", "correct": false, "input_tokens": 1208, "output_tokens": 1494, "elapsed_seconds": 56.42102937493473, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 40, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.375, "attempts": 1, "retries": 0, "total_seconds": 56.5393}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 59, "image": "frame_0008_jpg.rf.87aed24f253375f69a3bb398f6521d18.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [219, 326, 260, 350], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [206, 447, 250, 473], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [110, 449, 152, 474], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [126, 334, 165, 357], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [117, 390, 158, 414], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [205, 509, 248, 535], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [111, 507, 152, 532], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [41, 342, 79, 365], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [32, 397, 68, 420], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [28, 507, 63, 531], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [27, 452, 62, 475], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [540, 503, 591, 532], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [525, 439, 577, 467], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [512, 377, 563, 405], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [497, 315, 550, 343], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [603, 303, 661, 329], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [624, 362, 678, 391], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [639, 426, 692, 455], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [654, 490, 707, 519], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [770, 485, 822, 513], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [757, 421, 807, 449], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [739, 357, 790, 383], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [723, 297, 773, 323], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [209, 385, 253, 411], \"label\": \"soda bottle cap\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 868, "elapsed_seconds": 41.61805545806419, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 24, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 42.199}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 60, "image": "uav20221018_ixfZ_3857_0_png.rf.68f3022f53a4bfe08c731fb3a58473cf.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [757, 326, 835, 405], \"label\": \"banana tree\"},\n {\"box_2d\": [880, 938, 954, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [453, 622, 505, 697], \"label\": \"banana tree\"},\n {\"box_2d\": [238, 692, 315, 764], \"label\": \"banana tree\"},\n {\"box_2d\": [928, 336, 998, 400], \"label\": \"banana tree\"},\n {\"box_2d\": [659, 695, 738, 777], \"label\": \"banana tree\"},\n {\"box_2d\": [397, 698, 476, 770], \"label\": \"banana tree\"},\n {\"box_2d\": [628, 943, 698, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [203, 941, 267, 987], \"label\": \"banana tree\"},\n {\"box_2d\": [909, 700, 983, 769], \"label\": \"banana tree\"},\n {\"box_2d\": [540, 412, 603, 468], \"label\": \"banana tree\"},\n {\"box_2d\": [205, 412, 275, 470], \"label\": \"banana tree\"},\n {\"box_2d\": [969, 411, 1000, 479], \"label\": \"banana tree\"},\n {\"box_2d\": [421, 344, 469, 395], \"label\": \"banana tree\"},\n {\"box_2d\": [826, 697, 907, 769], \"label\": \"banana tree\"},\n {\"box_2d\": [619, 646, 681, 708], \"label\": \"banana tree\"},\n {\"box_2d\": [450, 939, 533, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [800, 405, 875, 480], \"label\": \"banana tree\"},\n {\"box_2d\": [880, 411, 950, 483], \"label\": \"banana tree\"},\n {\"box_2d\": [283, 631, 337, 691], \"label\": \"banana tree\"},\n {\"box_2d\": [702, 624, 769, 708], \"label\": \"banana tree\"},\n {\"box_2d\": [315, 694, 400, 767], \"label\": \"banana tree\"},\n {\"box_2d\": [876, 624, 936, 706], \"label\": \"banana tree\"},\n {\"box_2d\": [377, 931, 444, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [374, 398, 447, 481], \"label\": \"banana tree\"},\n {\"box_2d\": [666, 343, 740, 411], \"label\": \"banana tree\"},\n {\"box_2d\": [788, 638, 860, 700], \"label\": \"banana tree\"},\n {\"box_2d\": [742, 703, 814, 777], \"label\": \"banana tree\"},\n {\"box_2d\": [960, 626, 1000, 698], \"label\": \"banana tree\"},\n {\"box_2d\": [566, 705, 649, 776], \"label\": \"banana tree\"},\n {\"box_2d\": [498, 322, 571, 405], \"label\": \"banana tree\"},\n {\"box_2d\": [285, 930, 369, 995], \"label\": \"banana tree\"},\n {\"box_2d\": [233, 339, 314, 403], \"label\": \"banana tree\"},\n {\"box_2d\": [540, 922, 619, 998], \"label\": \"banana tree\"},\n {\"box_2d\": [326, 326, 394, 395], \"label\": \"banana tree\"},\n {\"box_2d\": [535, 621, 608, 698], \"label\": \"banana tree\"},\n {\"box_2d\": [367, 619, 443, 692], \"label\": \"banana tree\"},\n {\"box_2d\": [713, 933, 780, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [447, 405, 513, 476], \"label\": \"banana tree\"},\n {\"box_2d\": [286, 406, 353, 470], \"label\": \"banana tree\"},\n {\"box_2d\": [480, 696, 565, 769], \"label\": \"banana tree\"},\n {\"box_2d\": [845, 342, 910, 403], \"label\": \"banana tree\"},\n {\"box_2d\": [632, 412, 701, 482], \"label\": \"banana tree\"},\n {\"box_2d\": [716, 420, 782, 474], \"label\": \"banana tree\"},\n {\"box_2d\": [585, 338, 659, 396], \"label\": \"banana tree\"},\n {\"box_2d\": [797, 949, 864, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [186, 681, 255, 756], \"label\": \"banana tree\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 1665, "elapsed_seconds": 19.18517895892728, "metadata": {"match_method": "map", "num_predictions": 47, "num_ground_truth": 47, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9551295638084412, "attempts": 1, "retries": 0, "total_seconds": 19.2511}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 61, "image": "egg-detection_image32_jpg.rf.bd04bf65691e0bae0f1d97601289a543.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [450, 427, 536, 491], \"label\": \"egg\"},\n {\"box_2d\": [177, 694, 255, 753], \"label\": \"egg\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 80, "elapsed_seconds": 14.250911832903512, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 14.389}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 62, "image": "construction-safety_ppe_0407_jpg.rf.b54d8bba5b223e0515f3d28ff728e79a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [329, 825, 377, 862], \"label\": \"safety helmet\"},\n {\"box_2d\": [343, 464, 386, 495], \"label\": \"safety helmet\"},\n {\"box_2d\": [357, 405, 401, 434], \"label\": \"safety helmet\"},\n {\"box_2d\": [377, 535, 434, 567], \"label\": \"safety helmet\"},\n {\"box_2d\": [399, 591, 437, 617], \"label\": \"safety helmet\"},\n {\"box_2d\": [357, 735, 396, 753], \"label\": \"safety helmet\"},\n {\"box_2d\": [307, 697, 375, 744], \"label\": \"safety helmet\"},\n {\"box_2d\": [348, 654, 390, 682], \"label\": \"safety helmet\"},\n {\"box_2d\": [372, 353, 418, 383], \"label\": \"safety helmet\"},\n {\"box_2d\": [461, 581, 650, 631], \"label\": \"safety vest\"},\n {\"box_2d\": [426, 392, 588, 443], \"label\": \"safety vest\"},\n {\"box_2d\": [417, 456, 614, 509], \"label\": \"safety vest\"},\n {\"box_2d\": [432, 647, 608, 695], \"label\": \"safety vest\"},\n {\"box_2d\": [449, 523, 648, 573], \"label\": \"safety vest\"},\n {\"box_2d\": [444, 340, 635, 394], \"label\": \"safety vest\"},\n {\"box_2d\": [399, 686, 680, 764], \"label\": \"safety vest\"},\n {\"box_2d\": [418, 826, 637, 891], \"label\": \"safety vest\"},\n {\"box_2d\": [374, 333, 821, 417], \"label\": \"person\"},\n {\"box_2d\": [358, 390, 783, 445], \"label\": \"person\"},\n {\"box_2d\": [345, 456, 738, 513], \"label\": \"person\"},\n {\"box_2d\": [378, 518, 807, 575], \"label\": \"person\"},\n {\"box_2d\": [400, 578, 808, 636], \"label\": \"person\"},\n {\"box_2d\": [349, 640, 816, 697], \"label\": \"person\"},\n {\"box_2d\": [307, 613, 989, 768], \"label\": \"person\"},\n {\"box_2d\": [332, 810, 895, 895], \"label\": \"person\"},\n {\"box_2d\": [360, 725, 860, 780], \"label\": \"person\"}\n]\n```", "correct": true, "input_tokens": 1220, "output_tokens": 913, "elapsed_seconds": 11.492295125033706, "metadata": {"match_method": "map", "num_predictions": 26, "num_ground_truth": 28, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9273927211761475, "attempts": 1, "retries": 0, "total_seconds": 11.5296}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 63, "image": "IMG_4931_jpg.rf.58c129944a1f2b663c55dbd43e27cf91.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [598, 250, 646, 274], \"label\": \"face\"},\n {\"box_2d\": [633, 344, 678, 366], \"label\": \"face\"},\n {\"box_2d\": [432, 282, 464, 297], \"label\": \"face\"},\n {\"box_2d\": [422, 252, 450, 267], \"label\": \"face\"},\n {\"box_2d\": [420, 376, 449, 391], \"label\": \"face\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 182, "elapsed_seconds": 271.8994155830005, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 28, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.1782178282737732, "attempts": 1, "retries": 0, "total_seconds": 272.3924}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 64, "image": "tile_232_jpg.rf.d215d900b9cd862d3217f88435d7ad8a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [585, 405, 650, 520], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [666, 783, 738, 976], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [624, 540, 725, 748], \"label\": \"ship in SAR satellite image\"}\n]\n```", "correct": true, "input_tokens": 1229, "output_tokens": 126, "elapsed_seconds": 28.500159583985806, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 28.5389}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 65, "image": "IMG_20250815_164441_jpg.rf.3c12e140b11a4091c99d31ed66a86850.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [598, 38, 622, 66], \"label\": \"barcode\"},\n {\"box_2d\": [603, 229, 627, 258], \"label\": \"barcode\"},\n {\"box_2d\": [612, 372, 637, 400], \"label\": \"barcode\"},\n {\"box_2d\": [616, 519, 640, 547], \"label\": \"barcode\"},\n {\"box_2d\": [621, 666, 645, 693], \"label\": \"barcode\"},\n {\"box_2d\": [631, 839, 653, 865], \"label\": \"barcode\"},\n {\"box_2d\": [633, 979, 656, 1000], \"label\": \"barcode\"},\n {\"box_2d\": [534, 838, 588, 866], \"label\": \"barcode\"},\n {\"box_2d\": [506, 629, 559, 657], \"label\": \"barcode\"},\n {\"box_2d\": [864, 653, 886, 680], \"label\": \"barcode\"},\n {\"box_2d\": [866, 525, 890, 552], \"label\": \"barcode\"},\n {\"box_2d\": [864, 396, 890, 424], \"label\": \"barcode\"},\n {\"box_2d\": [831, 214, 855, 241], \"label\": \"barcode\"},\n {\"box_2d\": [831, 41, 885, 69], \"label\": \"barcode\"},\n {\"box_2d\": [513, 209, 567, 237], \"label\": \"barcode\"},\n {\"box_2d\": [502, 324, 557, 351], \"label\": \"barcode\"},\n {\"box_2d\": [500, 486, 523, 513], \"label\": \"barcode\"},\n {\"box_2d\": [181, 510, 235, 538], \"label\": \"barcode\"},\n {\"box_2d\": [92, 637, 148, 665], \"label\": \"barcode\"},\n {\"box_2d\": [155, 418, 181, 446], \"label\": \"barcode\"},\n {\"box_2d\": [145, 261, 204, 290], \"label\": \"barcode\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 722, "elapsed_seconds": 110.86482162494212, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 21, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 111.3603}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 66, "image": "car-part-detection_Car-damages-128_png_jpg.rf.e07bc73742c49cec70d8b7dc538a39d2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [556, 56, 772, 111], \"label\": \"front bumper\"},\n {\"box_2d\": [362, 74, 495, 315], \"label\": \"hood\"},\n {\"box_2d\": [498, 67, 581, 102], \"label\": \"headlight\"},\n {\"box_2d\": [228, 305, 417, 456], \"label\": \"windshield\"},\n {\"box_2d\": [345, 378, 420, 419], \"label\": \"mirror\"},\n {\"box_2d\": [219, 349, 417, 608], \"label\": \"front window\"},\n {\"box_2d\": [218, 603, 391, 811], \"label\": \"back window\"},\n {\"box_2d\": [218, 563, 703, 811], \"label\": \"back door\"},\n {\"box_2d\": [219, 316, 718, 608], \"label\": \"front door\"},\n {\"box_2d\": [356, 895, 480, 932], \"label\": \"tail light\"},\n {\"box_2d\": [498, 864, 720, 949], \"label\": \"back bumper\"},\n {\"box_2d\": [243, 864, 372, 922], \"label\": \"back windshield\"}\n]\n```", "correct": true, "input_tokens": 1224, "output_tokens": 427, "elapsed_seconds": 6.815019959001802, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 13, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9587457776069641, "attempts": 1, "retries": 0, "total_seconds": 6.8368}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 67, "image": "Lego_73_low_jpeg.rf.bf207a14dd8d49e9b00aae2e1a8886e1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [769, 892, 836, 970], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [705, 845, 790, 929], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [568, 777, 653, 852], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [635, 938, 728, 999], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [525, 851, 622, 949], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [491, 797, 567, 864], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [718, 632, 783, 732], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [592, 588, 653, 691], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [526, 535, 604, 623], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [712, 396, 759, 496], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [588, 429, 652, 530], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [546, 393, 625, 483], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [606, 294, 659, 412], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [412, 425, 482, 538], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [454, 270, 550, 329], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [702, 93, 807, 171], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [398, 41, 496, 114], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [228, 43, 305, 146], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [188, 241, 258, 333], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [62, 203, 133, 297], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [104, 517, 183, 617], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [200, 452, 260, 558], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [37, 678, 137, 787], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [233, 667, 319, 738], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [199, 764, 302, 825], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [185, 810, 286, 858], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [127, 842, 237, 886], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [158, 941, 248, 1000], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [386, 807, 468, 878], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [409, 728, 487, 813], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [386, 681, 467, 774], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [378, 629, 477, 690], \"label\": \"lego 4x1 brick\"}\n]\n```", "correct": true, "input_tokens": 1244, "output_tokens": 1256, "elapsed_seconds": 17.439413625048473, "metadata": {"match_method": "map", "num_predictions": 32, "num_ground_truth": 32, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8426292538642883, "attempts": 1, "retries": 0, "total_seconds": 17.5228}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 68, "image": "IMG_6646_jpeg_jpg.rf.bb15616ff058bc9ba8f9683f61ab5fbb.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [345, 336, 411, 505], \"label\": \"green poker chip\"},\n {\"box_2d\": [385, 336, 429, 504], \"label\": \"green poker chip\"},\n {\"box_2d\": [399, 339, 444, 508], \"label\": \"green poker chip\"},\n {\"box_2d\": [411, 343, 461, 511], \"label\": \"green poker chip\"},\n {\"box_2d\": [427, 346, 477, 516], \"label\": \"green poker chip\"},\n {\"box_2d\": [444, 351, 492, 516], \"label\": \"green poker chip\"},\n {\"box_2d\": [447, 342, 511, 508], \"label\": \"green poker chip\"},\n {\"box_2d\": [461, 550, 521, 717], \"label\": \"green poker chip\"},\n {\"box_2d\": [446, 530, 500, 696], \"label\": \"green poker chip\"},\n {\"box_2d\": [431, 530, 483, 702], \"label\": \"green poker chip\"},\n {\"box_2d\": [419, 533, 468, 702], \"label\": \"green poker chip\"},\n {\"box_2d\": [401, 530, 453, 705], \"label\": \"green poker chip\"},\n {\"box_2d\": [390, 535, 437, 706], \"label\": \"green poker chip\"},\n {\"box_2d\": [375, 532, 420, 706], \"label\": \"green poker chip\"},\n {\"box_2d\": [357, 530, 405, 705], \"label\": \"green poker chip\"},\n {\"box_2d\": [348, 535, 387, 705], \"label\": \"green poker chip\"},\n {\"box_2d\": [312, 530, 369, 709], \"label\": \"green poker chip\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 624, "elapsed_seconds": 7.928715333924629, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 17, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 7.9532}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 69, "image": "41_jpg.rf.2cb4080a10f215e4bd4d6ed6d4ea3e68.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [234, 238, 545, 323], \"label\": \"blood sample tube\"},\n {\"box_2d\": [467, 180, 703, 381], \"label\": \"blood sample tube\"},\n {\"box_2d\": [548, 336, 731, 561], \"label\": \"blood sample tube\"},\n {\"box_2d\": [556, 416, 736, 642], \"label\": \"blood sample tube\"},\n {\"box_2d\": [336, 378, 603, 550], \"label\": \"blood sample tube\"},\n {\"box_2d\": [356, 473, 648, 622], \"label\": \"blood sample tube\"},\n {\"box_2d\": [231, 498, 536, 619], \"label\": \"blood sample tube\"},\n {\"box_2d\": [92, 330, 345, 512], \"label\": \"blood sample tube\"},\n {\"box_2d\": [303, 617, 608, 747], \"label\": \"blood sample tube\"},\n {\"box_2d\": [397, 636, 684, 789], \"label\": \"blood sample tube\"},\n {\"box_2d\": [367, 722, 681, 842], \"label\": \"blood sample tube\"},\n {\"box_2d\": [345, 830, 680, 884], \"label\": \"blood sample tube\"},\n {\"box_2d\": [353, 881, 684, 927], \"label\": \"blood sample tube\"},\n {\"box_2d\": [678, 673, 736, 927], \"label\": \"blood sample tube\"},\n {\"box_2d\": [23, 870, 353, 916], \"label\": \"blood sample tube\"},\n {\"box_2d\": [173, 631, 275, 884], \"label\": \"blood sample tube\"},\n {\"box_2d\": [134, 466, 200, 708], \"label\": \"blood sample tube\"},\n {\"box_2d\": [77, 386, 144, 617], \"label\": \"blood sample tube\"},\n {\"box_2d\": [77, 631, 141, 875], \"label\": \"blood sample tube\"},\n {\"box_2d\": [20, 623, 84, 864], \"label\": \"blood sample tube\"},\n {\"box_2d\": [25, 384, 89, 622], \"label\": \"blood sample tube\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 760, "elapsed_seconds": 9.388201333000325, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 21, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 9.4174}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 70, "image": "construction-safety_ppe_0710_jpg.rf.d335438ef5819cfad67cee1d9e8c6eab.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [219, 434, 836, 567], \"label\": \"person\"},\n {\"box_2d\": [222, 463, 281, 514], \"label\": \"safety helmet\"},\n {\"box_2d\": [224, 150, 892, 280], \"label\": \"person\"},\n {\"box_2d\": [171, 47, 888, 187], \"label\": \"person\"},\n {\"box_2d\": [324, 323, 558, 427], \"label\": \"safety vest\"},\n {\"box_2d\": [221, 783, 297, 858], \"label\": \"safety helmet\"},\n {\"box_2d\": [210, 650, 862, 795], \"label\": \"person\"},\n {\"box_2d\": [320, 667, 526, 782], \"label\": \"safety vest\"},\n {\"box_2d\": [216, 313, 861, 444], \"label\": \"person\"},\n {\"box_2d\": [278, 571, 333, 626], \"label\": \"safety helmet\"},\n {\"box_2d\": [280, 543, 889, 672], \"label\": \"person\"},\n {\"box_2d\": [224, 176, 296, 245], \"label\": \"safety helmet\"},\n {\"box_2d\": [191, 279, 242, 329], \"label\": \"safety helmet\"},\n {\"box_2d\": [284, 76, 515, 181], \"label\": \"safety vest\"},\n {\"box_2d\": [221, 738, 960, 932], \"label\": \"person\"},\n {\"box_2d\": [298, 259, 509, 345], \"label\": \"safety vest\"},\n {\"box_2d\": [170, 103, 231, 163], \"label\": \"safety helmet\"},\n {\"box_2d\": [325, 450, 541, 546], \"label\": \"safety vest\"},\n {\"box_2d\": [191, 247, 829, 355], \"label\": \"person\"},\n {\"box_2d\": [389, 554, 620, 655], \"label\": \"safety vest\"},\n {\"box_2d\": [332, 764, 570, 895], \"label\": \"safety vest\"},\n {\"box_2d\": [216, 348, 275, 403], \"label\": \"safety helmet\"},\n {\"box_2d\": [211, 698, 265, 753], \"label\": \"safety helmet\"},\n {\"box_2d\": [341, 169, 588, 273], \"label\": \"safety vest\"}\n]\n```", "correct": true, "input_tokens": 1222, "output_tokens": 842, "elapsed_seconds": 12.338398750056513, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 24, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 12.3958}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 71, "image": "4103456_ContLeftUpper_f_jpg.rf.6635963edc568c350879157eaf0b4b06.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [529, 98, 560, 123], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [525, 180, 581, 204], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [556, 259, 576, 282], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [556, 338, 577, 365], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [361, 257, 459, 281], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [363, 179, 463, 200], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [363, 338, 455, 362], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [353, 417, 449, 444], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [350, 498, 393, 524], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [391, 16, 466, 39], \"label\": \"shipping container wall dent\"},\n {\"box_2d\": [540, 18, 571, 41], \"label\": \"shipping container wall dent\"}\n]\n```", "correct": false, "input_tokens": 1255, "output_tokens": 414, "elapsed_seconds": 8.066090625012293, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 20, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.20792078971862793, "attempts": 1, "retries": 0, "total_seconds": 8.1846}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 72, "image": "V000087_0_0-Drive-Shaft_jpeg_jpg.rf.148a90e2fb96f98fb22ea082d09655d1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [799, 95, 968, 952], \"label\": \"technical drawing table\"},\n {\"box_2d\": [171, 349, 214, 444], \"label\": \"surface roughness symbol\"},\n {\"box_2d\": [163, 434, 221, 502], \"label\": \"dimension annotation\"},\n {\"box_2d\": [168, 494, 240, 567], \"label\": \"dimension annotation\"},\n {\"box_2d\": [186, 540, 214, 629], \"label\": \"dimension annotation\"},\n {\"box_2d\": [266, 550, 287, 667], \"label\": \"dimension annotation\"},\n {\"box_2d\": [266, 488, 287, 550], \"label\": \"dimension annotation\"},\n {\"box_2d\": [296, 311, 323, 434], \"label\": \"dimension annotation\"},\n {\"box_2d\": [296, 433, 323, 577], \"label\": \"dimension annotation\"},\n {\"box_2d\": [157, 672, 263, 819], \"label\": \"dimension annotation\"},\n {\"box_2d\": [145, 731, 284, 907], \"label\": \"dimension annotation\"},\n {\"box_2d\": [513, 215, 540, 578], \"label\": \"dimension annotation\"},\n {\"box_2d\": [437, 583, 474, 628], \"label\": \"dimension annotation\"},\n {\"box_2d\": [427, 583, 484, 668], \"label\": \"dimension annotation\"},\n {\"box_2d\": [482, 583, 515, 628], \"label\": \"dimension annotation\"}\n]\n```", "correct": false, "input_tokens": 1237, "output_tokens": 538, "elapsed_seconds": 8.560030334047042, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.666666567325592, "attempts": 1, "retries": 0, "total_seconds": 8.5743}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 73, "image": "1_000290_png.rf.2ed72f4c5f09c4e50e5326dbdb424cd7.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [757, 199, 779, 232], \"label\": \"tire spike normal\"},\n {\"box_2d\": [654, 171, 678, 200], \"label\": \"tire spike normal\"},\n {\"box_2d\": [535, 245, 559, 277], \"label\": \"tire spike normal\"},\n {\"box_2d\": [457, 199, 476, 229], \"label\": \"tire spike normal\"},\n {\"box_2d\": [301, 217, 319, 244], \"label\": \"tire spike normal\"},\n {\"box_2d\": [218, 273, 231, 299], \"label\": \"tire spike normal\"},\n {\"box_2d\": [114, 259, 126, 285], \"label\": \"tire spike normal\"},\n {\"box_2d\": [134, 353, 145, 378], \"label\": \"tire spike normal\"},\n {\"box_2d\": [205, 430, 218, 456], \"label\": \"tire spike normal\"},\n {\"box_2d\": [297, 496, 312, 523], \"label\": \"tire spike normal\"},\n {\"box_2d\": [237, 563, 251, 591], \"label\": \"tire spike normal\"},\n {\"box_2d\": [158, 646, 171, 676], \"label\": \"tire spike normal\"},\n {\"box_2d\": [134, 745, 146, 772], \"label\": \"tire spike normal\"},\n {\"box_2d\": [96, 773, 108, 796], \"label\": \"tire spike normal\"},\n {\"box_2d\": [248, 722, 265, 752], \"label\": \"tire spike normal\"},\n {\"box_2d\": [338, 779, 356, 809], \"label\": \"tire spike normal\"},\n {\"box_2d\": [425, 622, 443, 653], \"label\": \"tire spike normal\"},\n {\"box_2d\": [381, 366, 396, 396], \"label\": \"tire spike normal\"},\n {\"box_2d\": [450, 397, 467, 427], \"label\": \"tire spike normal\"},\n {\"box_2d\": [494, 590, 516, 623], \"label\": \"tire spike normal\"},\n {\"box_2d\": [498, 788, 520, 818], \"label\": \"tire spike normal\"},\n {\"box_2d\": [583, 738, 608, 770], \"label\": \"tire spike normal\"},\n {\"box_2d\": [706, 816, 729, 847], \"label\": \"tire spike normal\"},\n {\"box_2d\": [812, 783, 836, 814], \"label\": \"tire spike normal\"},\n {\"box_2d\": [881, 667, 900, 697], \"label\": \"tire spike normal\"},\n {\"box_2d\": [696, 566, 715, 597], \"label\": \"tire spike normal\"},\n {\"box_2d\": [639, 417, 662, 449], \"label\": \"tire spike absent\"},\n {\"box_2d\": [826, 318, 847, 349], \"label\": \"tire spike normal\"},\n {\"box_2d\": [891, 487, 916, 524], \"label\": \"tire spike normal\"},\n {\"box_2d\": [81, 563, 89, 590], \"label\": \"tire spike normal\"},\n {\"box_2d\": [173, 502, 191, 524], \"label\": \"tire spike absent\"}\n]\n```", "correct": false, "input_tokens": 1215, "output_tokens": 1125, "elapsed_seconds": 32.335917625110596, "metadata": {"match_method": "map", "num_predictions": 31, "num_ground_truth": 35, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3564355969429016, "attempts": 1, "retries": 0, "total_seconds": 32.394}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 74, "image": "GP010212_JPG_jpg.rf.6a034cdac286be2f0a162b6bfc04e1c0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [230, 500, 272, 720], \"label\": \"carrot\"},\n {\"box_2d\": [254, 449, 314, 608], \"label\": \"carrot\"},\n {\"box_2d\": [256, 200, 362, 383], \"label\": \"carrot\"},\n {\"box_2d\": [269, 231, 376, 449], \"label\": \"carrot\"},\n {\"box_2d\": [278, 505, 369, 681], \"label\": \"carrot\"},\n {\"box_2d\": [298, 673, 453, 700], \"label\": \"carrot\"},\n {\"box_2d\": [321, 485, 391, 646], \"label\": \"carrot\"},\n {\"box_2d\": [339, 431, 412, 583], \"label\": \"carrot\"},\n {\"box_2d\": [379, 524, 442, 686], \"label\": \"carrot\"},\n {\"box_2d\": [363, 250, 408, 488], \"label\": \"carrot\"},\n {\"box_2d\": [354, 95, 491, 256], \"label\": \"carrot\"},\n {\"box_2d\": [373, 182, 505, 289], \"label\": \"carrot\"},\n {\"box_2d\": [397, 326, 434, 503], \"label\": \"carrot\"},\n {\"box_2d\": [427, 368, 455, 513], \"label\": \"carrot\"},\n {\"box_2d\": [427, 282, 520, 494], \"label\": \"carrot\"},\n {\"box_2d\": [471, 286, 527, 455], \"label\": \"carrot\"},\n {\"box_2d\": [457, 403, 524, 567], \"label\": \"carrot\"},\n {\"box_2d\": [451, 440, 488, 650], \"label\": \"carrot\"},\n {\"box_2d\": [523, 427, 554, 591], \"label\": \"carrot\"},\n {\"box_2d\": [479, 209, 623, 353], \"label\": \"carrot\"},\n {\"box_2d\": [498, 107, 634, 235], \"label\": \"carrot\"},\n {\"box_2d\": [532, 328, 589, 585], \"label\": \"carrot\"},\n {\"box_2d\": [532, 300, 661, 491], \"label\": \"carrot\"},\n {\"box_2d\": [628, 206, 669, 428], \"label\": \"carrot\"},\n {\"box_2d\": [486, 616, 568, 807], \"label\": \"carrot\"},\n {\"box_2d\": [573, 525, 611, 725], \"label\": \"carrot\"},\n {\"box_2d\": [607, 559, 643, 722], \"label\": \"carrot\"},\n {\"box_2d\": [629, 525, 687, 767], \"label\": \"carrot\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 963, "elapsed_seconds": 30.740049624932, "metadata": {"match_method": "map", "num_predictions": 28, "num_ground_truth": 28, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 30.7668}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 75, "image": "egg-detection_image25_jpg.rf.5c4d3f7ce6887203cc33b5f86e849ef9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [74, 752, 144, 797], \"label\": \"egg\"},\n {\"box_2d\": [113, 715, 185, 764], \"label\": \"egg\"},\n {\"box_2d\": [92, 798, 159, 839], \"label\": \"egg\"},\n {\"box_2d\": [243, 395, 328, 452], \"label\": \"egg\"},\n {\"box_2d\": [264, 689, 349, 750], \"label\": \"egg\"},\n {\"box_2d\": [324, 661, 402, 712], \"label\": \"egg\"},\n {\"box_2d\": [373, 582, 466, 632], \"label\": \"egg\"},\n {\"box_2d\": [290, 811, 362, 853], \"label\": \"egg\"},\n {\"box_2d\": [400, 809, 471, 852], \"label\": \"egg\"},\n {\"box_2d\": [495, 444, 579, 504], \"label\": \"egg\"},\n {\"box_2d\": [565, 521, 646, 579], \"label\": \"egg\"},\n {\"box_2d\": [616, 485, 719, 533], \"label\": \"egg\"},\n {\"box_2d\": [685, 430, 761, 488], \"label\": \"egg\"},\n {\"box_2d\": [854, 601, 932, 653], \"label\": \"egg\"},\n {\"box_2d\": [847, 677, 920, 730], \"label\": \"egg\"},\n {\"box_2d\": [888, 710, 962, 755], \"label\": \"egg\"},\n {\"box_2d\": [836, 745, 904, 789], \"label\": \"egg\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 588, "elapsed_seconds": 40.28562891704496, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 17, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 40.4159}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 76, "image": "94D76C4A-9650-486B-8278-406A692F552F_jpg.rf.441749660b1bde146bfdbfa517d4e058.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [732, 206, 777, 246], \"label\": \"pill\"},\n {\"box_2d\": [615, 344, 659, 389], \"label\": \"pill\"},\n {\"box_2d\": [526, 303, 570, 347], \"label\": \"pill\"},\n {\"box_2d\": [469, 281, 513, 326], \"label\": \"pill\"},\n {\"box_2d\": [433, 238, 476, 282], \"label\": \"pill\"},\n {\"box_2d\": [427, 286, 470, 330], \"label\": \"pill\"},\n {\"box_2d\": [468, 331, 512, 375], \"label\": \"pill\"},\n {\"box_2d\": [387, 301, 430, 345], \"label\": \"pill\"},\n {\"box_2d\": [345, 275, 389, 319], \"label\": \"pill\"},\n {\"box_2d\": [364, 339, 408, 384], \"label\": \"pill\"},\n {\"box_2d\": [405, 360, 449, 404], \"label\": \"pill\"},\n {\"box_2d\": [513, 404, 558, 448], \"label\": \"pill\"},\n {\"box_2d\": [499, 486, 544, 531], \"label\": \"pill\"},\n {\"box_2d\": [416, 425, 459, 469], \"label\": \"pill\"},\n {\"box_2d\": [385, 456, 429, 500], \"label\": \"pill\"},\n {\"box_2d\": [322, 434, 366, 478], \"label\": \"pill\"},\n {\"box_2d\": [196, 359, 240, 403], \"label\": \"pill\"},\n {\"box_2d\": [189, 414, 233, 458], \"label\": \"pill\"},\n {\"box_2d\": [235, 436, 278, 480], \"label\": \"pill\"},\n {\"box_2d\": [268, 462, 312, 506], \"label\": \"pill\"},\n {\"box_2d\": [309, 475, 353, 519], \"label\": \"pill\"},\n {\"box_2d\": [182, 490, 226, 534], \"label\": \"pill\"},\n {\"box_2d\": [163, 578, 207, 622], \"label\": \"pill\"},\n {\"box_2d\": [166, 622, 211, 667], \"label\": \"pill\"},\n {\"box_2d\": [198, 662, 242, 707], \"label\": \"pill\"},\n {\"box_2d\": [264, 562, 308, 606], \"label\": \"pill\"},\n {\"box_2d\": [269, 605, 314, 650], \"label\": \"pill\"},\n {\"box_2d\": [299, 660, 344, 706], \"label\": \"pill\"},\n {\"box_2d\": [322, 519, 366, 563], \"label\": \"pill\"},\n {\"box_2d\": [361, 498, 405, 542], \"label\": \"pill\"},\n {\"box_2d\": [360, 542, 404, 586], \"label\": \"pill\"},\n {\"box_2d\": [317, 591, 362, 636], \"label\": \"pill\"},\n {\"box_2d\": [343, 640, 387, 685], \"label\": \"pill\"},\n {\"box_2d\": [361, 709, 406, 754], \"label\": \"pill\"},\n {\"box_2d\": [408, 510, 452, 554], \"label\": \"pill\"},\n {\"box_2d\": [452, 517, 496, 561], \"label\": \"pill\"},\n {\"box_2d\": [423, 550, 467, 594], \"label\": \"pill\"},\n {\"box_2d\": [386, 579, 430, 624], \"label\": \"pill\"},\n {\"box_2d\": [387, 625, 431, 670], \"label\": \"pill\"},\n {\"box_2d\": [408, 668, 452, 713], \"label\": \"pill\"},\n {\"box_2d\": [455, 676, 499, 722], \"label\": \"pill\"},\n {\"box_2d\": [445, 586, 489, 631], \"label\": \"pill\"},\n {\"box_2d\": [486, 574, 530, 619], \"label\": \"pill\"},\n {\"box_2d\": [496, 634, 541, 679], \"label\": \"pill\"},\n {\"box_2d\": [603, 660, 649, 706], \"label\": \"pill\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 1542, "elapsed_seconds": 73.29686633404344, "metadata": {"match_method": "map", "num_predictions": 45, "num_ground_truth": 45, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 73.7681}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 77, "image": "IMG_3989_JPG.rf.c4cc3b74f996b28db8e9373b455775a3.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [213, 336, 232, 344], \"label\": \"face\"},\n {\"box_2d\": [272, 461, 290, 469], \"label\": \"face\"},\n {\"box_2d\": [423, 417, 450, 428], \"label\": \"face\"},\n {\"box_2d\": [200, 279, 217, 286], \"label\": \"face\"},\n {\"box_2d\": [311, 384, 332, 394], \"label\": \"face\"},\n {\"box_2d\": [306, 335, 326, 344], \"label\": \"face\"},\n {\"box_2d\": [401, 601, 419, 610], \"label\": \"face\"},\n {\"box_2d\": [208, 313, 226, 320], \"label\": \"face\"},\n {\"box_2d\": [200, 249, 217, 257], \"label\": \"face\"},\n {\"box_2d\": [244, 469, 260, 476], \"label\": \"face\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 352, "elapsed_seconds": 73.17980916704983, "metadata": {"match_method": "map", "num_predictions": 10, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6940593719482422, "attempts": 1, "retries": 0, "total_seconds": 73.6479}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 78, "image": "basketball-player-detection_boston-celtics-new-york-knicks-game-4-q1-01-22-01-16-0112_png.rf.813de841eef35ee5de0aa209e2d3e51f.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [562, 434, 581, 444], \"label\": \"jersey number\"},\n {\"box_2d\": [324, 376, 355, 388], \"label\": \"jersey number\"},\n {\"box_2d\": [742, 597, 764, 608], \"label\": \"jersey number\"},\n {\"box_2d\": [278, 631, 294, 635], \"label\": \"jersey number\"},\n {\"box_2d\": [678, 279, 706, 290], \"label\": \"jersey number\"},\n {\"box_2d\": [220, 610, 374, 646], \"label\": \"player\"},\n {\"box_2d\": [329, 622, 344, 626], \"label\": \"jersey number\"},\n {\"box_2d\": [512, 720, 728, 787], \"label\": \"player\"},\n {\"box_2d\": [283, 592, 463, 635], \"label\": \"player\"},\n {\"box_2d\": [248, 0, 434, 46], \"label\": \"referee\"},\n {\"box_2d\": [626, 821, 825, 870], \"label\": \"player\"},\n {\"box_2d\": [270, 768, 460, 801], \"label\": \"referee\"},\n {\"box_2d\": [231, 302, 408, 359], \"label\": \"player\"},\n {\"box_2d\": [691, 839, 722, 853], \"label\": \"jersey number\"},\n {\"box_2d\": [572, 755, 590, 761], \"label\": \"jersey number\"},\n {\"box_2d\": [517, 401, 771, 452], \"label\": \"player\"},\n {\"box_2d\": [291, 347, 492, 412], \"label\": \"player\"},\n {\"box_2d\": [397, 265, 415, 277], \"label\": \"jersey number\"},\n {\"box_2d\": [607, 251, 879, 315], \"label\": \"player\"},\n {\"box_2d\": [296, 213, 586, 320], \"label\": \"player\"},\n {\"box_2d\": [227, 714, 281, 757], \"label\": \"basket rim\"},\n {\"box_2d\": [296, 178, 598, 227], \"label\": \"player taking jump shot\"},\n {\"box_2d\": [686, 577, 868, 623], \"label\": \"referee\"},\n {\"box_2d\": [219, 225, 255, 245], \"label\": \"basketball\"},\n {\"box_2d\": [405, 181, 432, 186], \"label\": \"jersey number\"}\n]\n```", "correct": false, "input_tokens": 1251, "output_tokens": 876, "elapsed_seconds": 51.398208208032884, "metadata": {"match_method": "map", "num_predictions": 25, "num_ground_truth": 25, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6967362761497498, "attempts": 1, "retries": 0, "total_seconds": 51.5316}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 79, "image": "Screenshot-2024-05-16-150258_png.rf.730fbfcbd2cdbb24d8003d2a2cd88782.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 611, 24, 639], \"label\": \"bullet hole\"},\n {\"box_2d\": [66, 15, 92, 43], \"label\": \"bullet hole\"},\n {\"box_2d\": [113, 102, 141, 132], \"label\": \"bullet hole\"},\n {\"box_2d\": [171, 193, 199, 225], \"label\": \"bullet hole\"},\n {\"box_2d\": [184, 346, 211, 376], \"label\": \"bullet hole\"},\n {\"box_2d\": [250, 482, 282, 512], \"label\": \"bullet hole\"},\n {\"box_2d\": [336, 0, 365, 25], \"label\": \"bullet hole\"},\n {\"box_2d\": [438, 225, 466, 251], \"label\": \"bullet hole\"},\n {\"box_2d\": [701, 418, 729, 448], \"label\": \"bullet hole\"},\n {\"box_2d\": [878, 357, 904, 386], \"label\": \"bullet hole\"},\n {\"box_2d\": [985, 185, 1000, 214], \"label\": \"bullet hole\"},\n {\"box_2d\": [902, 611, 930, 643], \"label\": \"bullet hole\"},\n {\"box_2d\": [662, 686, 690, 715], \"label\": \"bullet hole\"},\n {\"box_2d\": [720, 894, 752, 926], \"label\": \"bullet hole\"},\n {\"box_2d\": [820, 847, 848, 879], \"label\": \"bullet hole\"},\n {\"box_2d\": [833, 932, 861, 962], \"label\": \"bullet hole\"},\n {\"box_2d\": [921, 922, 947, 951], \"label\": \"bullet hole\"},\n {\"box_2d\": [530, 792, 556, 826], \"label\": \"bullet hole\"},\n {\"box_2d\": [487, 698, 515, 730], \"label\": \"bullet hole\"},\n {\"box_2d\": [436, 620, 462, 650], \"label\": \"bullet hole\"},\n {\"box_2d\": [400, 728, 427, 758], \"label\": \"bullet hole\"},\n {\"box_2d\": [455, 819, 481, 851], \"label\": \"bullet hole\"},\n {\"box_2d\": [327, 800, 357, 832], \"label\": \"bullet hole\"},\n {\"box_2d\": [352, 977, 382, 1000], \"label\": \"bullet hole\"},\n {\"box_2d\": [235, 905, 267, 940], \"label\": \"bullet hole\"},\n {\"box_2d\": [237, 741, 269, 773], \"label\": \"bullet hole\"},\n {\"box_2d\": [160, 686, 188, 713], \"label\": \"bullet hole\"},\n {\"box_2d\": [143, 817, 173, 847], \"label\": \"bullet hole\"},\n {\"box_2d\": [109, 898, 137, 926], \"label\": \"bullet hole\"},\n {\"box_2d\": [58, 767, 86, 796], \"label\": \"bullet hole\"},\n {\"box_2d\": [26, 894, 53, 922], \"label\": \"bullet hole\"}\n]\n```", "correct": false, "input_tokens": 1226, "output_tokens": 1085, "elapsed_seconds": 13.185904165962711, "metadata": {"match_method": "map", "num_predictions": 31, "num_ground_truth": 30, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.17410147190093994, "attempts": 1, "retries": 0, "total_seconds": 13.2017}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 80, "image": "AF6880-9_2025_NCPT-128_JPG_jpg.rf.58feab8edece278692e9ee124939da54.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [771, 673, 837, 698], \"label\": \"potato\"},\n {\"box_2d\": [886, 581, 965, 610], \"label\": \"potato\"},\n {\"box_2d\": [603, 628, 709, 665], \"label\": \"potato\"},\n {\"box_2d\": [495, 626, 600, 661], \"label\": \"potato\"},\n {\"box_2d\": [508, 676, 571, 699], \"label\": \"potato\"},\n {\"box_2d\": [477, 704, 585, 745], \"label\": \"potato\"},\n {\"box_2d\": [117, 756, 232, 811], \"label\": \"potato\"},\n {\"box_2d\": [210, 718, 300, 754], \"label\": \"potato\"},\n {\"box_2d\": [217, 668, 329, 715], \"label\": \"potato\"},\n {\"box_2d\": [92, 719, 159, 748], \"label\": \"potato\"},\n {\"box_2d\": [39, 629, 134, 667], \"label\": \"potato\"},\n {\"box_2d\": [2, 589, 111, 632], \"label\": \"potato\"},\n {\"box_2d\": [1, 536, 116, 588], \"label\": \"potato\"},\n {\"box_2d\": [123, 587, 217, 629], \"label\": \"potato\"},\n {\"box_2d\": [109, 540, 223, 589], \"label\": \"potato\"},\n {\"box_2d\": [34, 502, 123, 536], \"label\": \"potato\"},\n {\"box_2d\": [123, 498, 216, 538], \"label\": \"potato\"},\n {\"box_2d\": [210, 547, 289, 576], \"label\": \"potato\"},\n {\"box_2d\": [291, 543, 370, 576], \"label\": \"potato\"},\n {\"box_2d\": [254, 501, 344, 537], \"label\": \"potato\"},\n {\"box_2d\": [389, 539, 490, 575], \"label\": \"potato\"},\n {\"box_2d\": [398, 587, 499, 621], \"label\": \"potato\"},\n {\"box_2d\": [498, 530, 610, 574], \"label\": \"potato\"},\n {\"box_2d\": [365, 493, 466, 532], \"label\": \"potato\"},\n {\"box_2d\": [468, 498, 551, 530], \"label\": \"potato\"},\n {\"box_2d\": [556, 495, 640, 526], \"label\": \"potato\"},\n {\"box_2d\": [686, 537, 796, 581], \"label\": \"potato\"},\n {\"box_2d\": [845, 483, 949, 529], \"label\": \"potato\"},\n {\"box_2d\": [928, 449, 999, 483], \"label\": \"potato\"},\n {\"box_2d\": [826, 444, 922, 483], \"label\": \"potato\"},\n {\"box_2d\": [684, 445, 790, 486], \"label\": \"potato\"},\n {\"box_2d\": [579, 449, 686, 492], \"label\": \"potato\"},\n {\"box_2d\": [664, 404, 780, 446], \"label\": \"potato\"},\n {\"box_2d\": [779, 408, 845, 434], \"label\": \"potato\"},\n {\"box_2d\": [842, 407, 922, 437], \"label\": \"potato\"},\n {\"box_2d\": [504, 450, 580, 485], \"label\": \"potato\"},\n {\"box_2d\": [408, 446, 506, 488], \"label\": \"potato\"},\n {\"box_2d\": [266, 448, 365, 488], \"label\": \"potato\"},\n {\"box_2d\": [109, 454, 198, 488], \"label\": \"potato\"},\n {\"box_2d\": [68, 464, 114, 486], \"label\": \"potato\"},\n {\"box_2d\": [149, 405, 259, 443], \"label\": \"potato\"},\n {\"box_2d\": [275, 418, 314, 438], \"label\": \"potato\"},\n {\"box_2d\": [314, 407, 406, 442], \"label\": \"potato\"},\n {\"box_2d\": [438, 406, 549, 450], \"label\": \"potato\"},\n {\"box_2d\": [26, 406, 151, 455], \"label\": \"potato\"},\n {\"box_2d\": [28, 376, 85, 398], \"label\": \"potato\"},\n {\"box_2d\": [82, 366, 169, 404], \"label\": \"potato\"},\n {\"box_2d\": [171, 354, 291, 404], \"label\": \"potato\"},\n {\"box_2d\": [314, 356, 417, 403], \"label\": \"potato\"},\n {\"box_2d\": [416, 350, 526, 401], \"label\": \"potato\"},\n {\"box_2d\": [525, 364, 610, 400], \"label\": \"potato\"},\n {\"box_2d\": [6, 321, 90, 357], \"label\": \"potato\"},\n {\"box_2d\": [89, 323, 166, 354], \"label\": \"potato\"},\n {\"box_2d\": [166, 324, 239, 354], \"label\": \"potato\"},\n {\"box_2d\": [151, 281, 240, 315], \"label\": \"potato\"},\n {\"box_2d\": [239, 325, 333, 358], \"label\": \"potato\"},\n {\"box_2d\": [332, 308, 451, 356], \"label\": \"potato\"},\n {\"box_2d\": [298, 276, 376, 307], \"label\": \"potato\"},\n {\"box_2d\": [377, 273, 468, 314], \"label\": \"potato\"},\n {\"box_2d\": [501, 313, 594, 358], \"label\": \"potato\"},\n {\"box_2d\": [495, 272, 581, 309], \"label\": \"potato\"},\n {\"box_2d\": [581, 279, 639, 307], \"label\": \"potato\"},\n {\"box_2d\": [637, 272, 722, 308], \"label\": \"potato\"},\n {\"box_2d\": [603, 314, 719, 362], \"label\": \"potato\"},\n {\"box_2d\": [715, 313, 796, 349], \"label\": \"potato\"},\n {\"box_2d\": [729, 363, 839, 397], \"label\": \"potato\"},\n {\"box_2d\": [832, 366, 899, 389], \"label\": \"potato\"},\n {\"box_2d\": [790, 318, 899, 361], \"label\": \"potato\"},\n {\"box_2d\": [909, 318, 985, 351], \"label\": \"potato\"},\n {\"box_2d\": [850, 271, 965, 315], \"label\": \"potato\"},\n {\"box_2d\": [902, 222, 995, 266], \"label\": \"potato\"},\n {\"box_2d\": [729, 188, 839, 232], \"label\": \"potato\"},\n {\"box_2d\": [640, 181, 728, 222], \"label\": \"potato\"},\n {\"box_2d\": [568, 187, 637, 220], \"label\": \"potato\"},\n {\"box_2d\": [506, 193, 571, 222], \"label\": \"potato\"},\n {\"box_2d\": [437, 193, 502, 221], \"label\": \"potato\"},\n {\"box_2d\": [571, 226, 650, 266], \"label\": \"potato\"},\n {\"box_2d\": [416, 229, 514, 269], \"label\": \"potato\"},\n {\"box_2d\": [264, 239, 351, 264], \"label\": \"potato\"},\n {\"box_2d\": [216, 193, 294, 222], \"label\": \"potato\"},\n {\"box_2d\": [29, 248, 85, 267], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 2748, "elapsed_seconds": 307.52135249995627, "metadata": {"match_method": "map", "num_predictions": 81, "num_ground_truth": 82, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9801980257034302, "attempts": 1, "retries": 0, "total_seconds": 308.2289}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 81, "image": "GP010253_JPG_jpg.rf.617173565602dbb2684e6af5ddab9032.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [727, 695, 888, 864], \"label\": \"carrot\"},\n {\"box_2d\": [562, 686, 811, 756], \"label\": \"carrot\"},\n {\"box_2d\": [636, 625, 839, 717], \"label\": \"carrot\"},\n {\"box_2d\": [559, 612, 811, 653], \"label\": \"carrot\"},\n {\"box_2d\": [456, 542, 738, 623], \"label\": \"carrot\"},\n {\"box_2d\": [572, 522, 791, 570], \"label\": \"carrot\"},\n {\"box_2d\": [489, 434, 658, 520], \"label\": \"carrot\"},\n {\"box_2d\": [525, 444, 766, 495], \"label\": \"carrot\"},\n {\"box_2d\": [484, 348, 558, 559], \"label\": \"carrot\"},\n {\"box_2d\": [452, 305, 636, 369], \"label\": \"carrot\"},\n {\"box_2d\": [278, 381, 469, 573], \"label\": \"carrot\"},\n {\"box_2d\": [178, 355, 358, 492], \"label\": \"carrot\"},\n {\"box_2d\": [191, 395, 327, 514], \"label\": \"carrot\"},\n {\"box_2d\": [188, 412, 302, 711], \"label\": \"carrot\"},\n {\"box_2d\": [158, 400, 267, 694], \"label\": \"carrot\"},\n {\"box_2d\": [144, 561, 203, 855], \"label\": \"carrot\"},\n {\"box_2d\": [52, 538, 178, 869], \"label\": \"carrot\"},\n {\"box_2d\": [197, 731, 291, 861], \"label\": \"carrot\"},\n {\"box_2d\": [288, 505, 403, 770], \"label\": \"carrot\"},\n {\"box_2d\": [306, 483, 462, 783], \"label\": \"carrot\"},\n {\"box_2d\": [314, 608, 434, 798], \"label\": \"carrot\"},\n {\"box_2d\": [423, 728, 642, 797], \"label\": \"carrot\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 759, "elapsed_seconds": 8.368285292061046, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 8.3945}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 82, "image": "1704195139272_jpg.rf.6a6621507dbbf3a3fbb417d17569c709.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [84, 661, 125, 709], \"label\": \"lentil grain\"},\n {\"box_2d\": [216, 344, 256, 384], \"label\": \"lentil grain\"},\n {\"box_2d\": [220, 567, 262, 616], \"label\": \"lentil grain\"},\n {\"box_2d\": [392, 378, 434, 420], \"label\": \"lentil grain\"},\n {\"box_2d\": [411, 561, 448, 608], \"label\": \"lentil grain\"},\n {\"box_2d\": [409, 616, 445, 662], \"label\": \"lentil grain\"},\n {\"box_2d\": [544, 420, 580, 462], \"label\": \"lentil grain\"},\n {\"box_2d\": [739, 388, 777, 428], \"label\": \"lentil grain\"},\n {\"box_2d\": [672, 609, 712, 656], \"label\": \"lentil grain\"},\n {\"box_2d\": [742, 728, 786, 780], \"label\": \"lentil grain\"},\n {\"box_2d\": [902, 400, 942, 447], \"label\": \"lentil grain\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 407, "elapsed_seconds": 12.056520667043515, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 12.0723}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 83, "image": "preannot1_326_png.rf.9e036dcc9355b37dec6ff1b3aff71d0b.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [598, 549, 616, 572], \"label\": \"tire spike normal\"},\n {\"box_2d\": [425, 434, 444, 458], \"label\": \"tire spike normal\"},\n {\"box_2d\": [332, 357, 348, 378], \"label\": \"tire spike normal\"},\n {\"box_2d\": [273, 316, 287, 336], \"label\": \"tire spike normal\"},\n {\"box_2d\": [230, 362, 245, 383], \"label\": \"tire spike normal\"},\n {\"box_2d\": [211, 436, 227, 457], \"label\": \"tire spike normal\"},\n {\"box_2d\": [168, 542, 182, 560], \"label\": \"tire spike normal\"},\n {\"box_2d\": [141, 326, 155, 344], \"label\": \"tire spike normal\"},\n {\"box_2d\": [105, 355, 119, 372], \"label\": \"tire spike normal\"},\n {\"box_2d\": [184, 617, 198, 636], \"label\": \"tire spike normal\"},\n {\"box_2d\": [226, 665, 241, 684], \"label\": \"tire spike normal\"},\n {\"box_2d\": [279, 620, 294, 639], \"label\": \"tire spike normal\"},\n {\"box_2d\": [324, 660, 340, 681], \"label\": \"tire spike normal\"},\n {\"box_2d\": [387, 632, 405, 658], \"label\": \"tire spike normal\"},\n {\"box_2d\": [440, 328, 456, 350], \"label\": \"tire spike normal\"},\n {\"box_2d\": [492, 326, 509, 348], \"label\": \"tire spike normal\"},\n {\"box_2d\": [556, 365, 574, 389], \"label\": \"tire spike normal\"},\n {\"box_2d\": [609, 328, 626, 350], \"label\": \"tire spike normal\"},\n {\"box_2d\": [611, 641, 629, 664], \"label\": \"tire spike normal\"},\n {\"box_2d\": [663, 677, 681, 699], \"label\": \"tire spike normal\"},\n {\"box_2d\": [725, 646, 742, 669], \"label\": \"tire spike normal\"},\n {\"box_2d\": [709, 427, 728, 450], \"label\": \"tire spike normal\"},\n {\"box_2d\": [738, 367, 755, 389], \"label\": \"tire spike normal\"},\n {\"box_2d\": [776, 319, 791, 338], \"label\": \"tire spike normal\"},\n {\"box_2d\": [776, 674, 793, 696], \"label\": \"tire spike normal\"},\n {\"box_2d\": [832, 628, 847, 648], \"label\": \"tire spike normal\"},\n {\"box_2d\": [860, 449, 875, 469], \"label\": \"tire spike normal\"},\n {\"box_2d\": [874, 382, 888, 399], \"label\": \"tire spike normal\"},\n {\"box_2d\": [506, 622, 521, 643], \"label\": \"tire spike normal\"},\n {\"box_2d\": [66, 620, 77, 636], \"label\": \"tire spike normal\"},\n {\"box_2d\": [894, 670, 907, 687], \"label\": \"tire spike normal\"},\n {\"box_2d\": [898, 346, 909, 362], \"label\": \"tire spike normal\"}\n]\n```", "correct": false, "input_tokens": 1202, "output_tokens": 1162, "elapsed_seconds": 26.037803290993907, "metadata": {"match_method": "map", "num_predictions": 32, "num_ground_truth": 42, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7623762488365173, "attempts": 1, "retries": 0, "total_seconds": 26.1619}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 84, "image": "fall-detection_cameraOne-blue-before_mp4-10_jpg.rf.e26a811f1502cc342db7badfe48642d4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [581, 535, 726, 730], \"label\": \"fallen person\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 47, "elapsed_seconds": 13.949963749968447, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 13.9665}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 85, "image": "IMG_3898_JPG.rf.7efec82c7f803d0db60f9543524df2d2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [751, 446, 902, 631], \"label\": \"5 poker chip\"},\n {\"box_2d\": [680, 599, 820, 777], \"label\": \"10 poker chip\"},\n {\"box_2d\": [639, 361, 773, 533], \"label\": \"10 poker chip\"},\n {\"box_2d\": [588, 703, 713, 875], \"label\": \"10000 poker chip\"},\n {\"box_2d\": [595, 211, 720, 381], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [551, 474, 672, 638], \"label\": \"50 poker chip\"},\n {\"box_2d\": [466, 392, 574, 545], \"label\": \"50 poker chip\"},\n {\"box_2d\": [486, 238, 595, 394], \"label\": \"20 poker chip\"},\n {\"box_2d\": [413, 146, 515, 295], \"label\": \"50 poker chip\"},\n {\"box_2d\": [329, 81, 421, 224], \"label\": \"100 poker chip\"},\n {\"box_2d\": [306, 221, 396, 359], \"label\": \"500 poker chip\"},\n {\"box_2d\": [363, 314, 460, 458], \"label\": \"10 poker chip\"},\n {\"box_2d\": [380, 455, 479, 600], \"label\": \"5 poker chip\"},\n {\"box_2d\": [395, 603, 495, 753], \"label\": \"500 poker chip\"},\n {\"box_2d\": [302, 611, 395, 754], \"label\": \"100 poker chip\"},\n {\"box_2d\": [354, 734, 452, 882], \"label\": \"100 poker chip\"},\n {\"box_2d\": [492, 606, 604, 767], \"label\": \"1000 poker chip\"}\n]\n```", "correct": true, "input_tokens": 1252, "output_tokens": 650, "elapsed_seconds": 43.878038833034225, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 18, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9579207897186279, "attempts": 1, "retries": 0, "total_seconds": 44.7379}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 86, "image": "2024-12-05T02-00-59-875Z-1008_jpg.rf.e6de2a9a15084a14389fc0bcc250e3a1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [291, 459, 378, 520], \"label\": \"screw\"},\n {\"box_2d\": [742, 792, 807, 836], \"label\": \"screw\"},\n {\"box_2d\": [637, 932, 697, 976], \"label\": \"screw\"},\n {\"box_2d\": [641, 827, 798, 941], \"label\": \"wire hole\"}\n]\n```", "correct": true, "input_tokens": 1203, "output_tokens": 149, "elapsed_seconds": 107.08728045900352, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 6, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8019801378250122, "attempts": 1, "retries": 0, "total_seconds": 107.308}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 87, "image": "IMG_20220316_165535_jpg.rf.b4968ac9965090df369ee94c30225977.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [39, 540, 381, 796], \"label\": \"jack of diamonds\"},\n {\"box_2d\": [419, 472, 820, 726], \"label\": \"queen of diamonds\"},\n {\"box_2d\": [108, 309, 474, 591], \"label\": \"nine of diamonds\"},\n {\"box_2d\": [381, 175, 709, 478], \"label\": \"king of diamonds\"},\n {\"box_2d\": [631, 108, 972, 427], \"label\": \"ten of diamonds\"}\n]\n```", "correct": true, "input_tokens": 1218, "output_tokens": 191, "elapsed_seconds": 12.73434374993667, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 12.7725}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 88, "image": "F64FE944-4E23-4E33-ABE4-44B45EEE879E_jpg.rf.4a9fc6077618a5882fd446c7da6c295e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [736, 94, 797, 198], \"label\": \"pill\"},\n {\"box_2d\": [682, 162, 780, 245], \"label\": \"pill\"},\n {\"box_2d\": [680, 217, 745, 321], \"label\": \"pill\"},\n {\"box_2d\": [590, 180, 672, 276], \"label\": \"pill\"},\n {\"box_2d\": [513, 127, 590, 229], \"label\": \"pill\"},\n {\"box_2d\": [434, 129, 521, 222], \"label\": \"pill\"},\n {\"box_2d\": [379, 187, 484, 251], \"label\": \"pill\"},\n {\"box_2d\": [287, 154, 394, 210], \"label\": \"pill\"},\n {\"box_2d\": [276, 208, 383, 270], \"label\": \"pill\"},\n {\"box_2d\": [176, 163, 281, 238], \"label\": \"pill\"},\n {\"box_2d\": [187, 237, 291, 315], \"label\": \"pill\"},\n {\"box_2d\": [137, 298, 249, 352], \"label\": \"pill\"},\n {\"box_2d\": [244, 326, 323, 429], \"label\": \"pill\"},\n {\"box_2d\": [288, 289, 380, 383], \"label\": \"pill\"},\n {\"box_2d\": [349, 240, 446, 323], \"label\": \"pill\"},\n {\"box_2d\": [387, 275, 480, 363], \"label\": \"pill\"},\n {\"box_2d\": [477, 256, 582, 315], \"label\": \"pill\"},\n {\"box_2d\": [477, 311, 582, 370], \"label\": \"pill\"},\n {\"box_2d\": [592, 290, 643, 396], \"label\": \"pill\"},\n {\"box_2d\": [639, 272, 675, 378], \"label\": \"pill\"},\n {\"box_2d\": [725, 298, 789, 403], \"label\": \"pill\"},\n {\"box_2d\": [664, 358, 749, 454], \"label\": \"pill\"},\n {\"box_2d\": [783, 412, 838, 518], \"label\": \"pill\"},\n {\"box_2d\": [724, 467, 808, 563], \"label\": \"pill\"},\n {\"box_2d\": [630, 424, 718, 518], \"label\": \"pill\"},\n {\"box_2d\": [598, 459, 675, 558], \"label\": \"pill\"},\n {\"box_2d\": [550, 390, 611, 495], \"label\": \"pill\"},\n {\"box_2d\": [456, 376, 551, 460], \"label\": \"pill\"},\n {\"box_2d\": [359, 370, 458, 451], \"label\": \"pill\"},\n {\"box_2d\": [285, 416, 390, 490], \"label\": \"pill\"},\n {\"box_2d\": [184, 390, 285, 474], \"label\": \"pill\"},\n {\"box_2d\": [168, 524, 278, 598], \"label\": \"pill\"},\n {\"box_2d\": [259, 487, 369, 547], \"label\": \"pill\"},\n {\"box_2d\": [355, 560, 463, 621], \"label\": \"pill\"},\n {\"box_2d\": [445, 504, 516, 607], \"label\": \"pill\"},\n {\"box_2d\": [488, 467, 554, 570], \"label\": \"pill\"},\n {\"box_2d\": [532, 522, 616, 618], \"label\": \"pill\"},\n {\"box_2d\": [624, 536, 720, 620], \"label\": \"pill\"},\n {\"box_2d\": [718, 543, 809, 634], \"label\": \"pill\"},\n {\"box_2d\": [696, 631, 793, 722], \"label\": \"pill\"},\n {\"box_2d\": [575, 591, 669, 682], \"label\": \"pill\"},\n {\"box_2d\": [507, 634, 614, 697], \"label\": \"pill\"},\n {\"box_2d\": [363, 620, 471, 680], \"label\": \"pill\"},\n {\"box_2d\": [431, 667, 517, 766], \"label\": \"pill\"},\n {\"box_2d\": [300, 691, 387, 794], \"label\": \"pill\"},\n {\"box_2d\": [556, 696, 613, 805], \"label\": \"pill\"},\n {\"box_2d\": [370, 841, 479, 899], \"label\": \"pill\"},\n {\"box_2d\": [680, 754, 734, 866], \"label\": \"pill\"},\n {\"box_2d\": [692, 693, 783, 789], \"label\": \"pill\"},\n {\"box_2d\": [797, 738, 893, 830], \"label\": \"pill\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 1711, "elapsed_seconds": 46.09508987504523, "metadata": {"match_method": "map", "num_predictions": 50, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 46.7057}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 89, "image": "20210326_152417_jpg.rf.49d888684dcb029777f91a35c5731fda.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [517, 678, 675, 838], \"label\": \"1 euro cent coin\"},\n {\"box_2d\": [723, 577, 905, 761], \"label\": \"2 euro cent coin\"},\n {\"box_2d\": [653, 236, 902, 489], \"label\": \"2 euro coin\"},\n {\"box_2d\": [420, 80, 628, 291], \"label\": \"5 euro cent coin\"},\n {\"box_2d\": [200, 127, 395, 323], \"label\": \"10 euro cent coin\"},\n {\"box_2d\": [103, 369, 325, 591], \"label\": \"20 euro cent coin\"},\n {\"box_2d\": [203, 645, 445, 888], \"label\": \"50 euro cent coin\"},\n {\"box_2d\": [380, 397, 608, 628], \"label\": \"1 euro coin\"}\n]\n```", "correct": true, "input_tokens": 1272, "output_tokens": 308, "elapsed_seconds": 17.564331665984355, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 17.5906}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 90, "image": "egg-detection_image33_jpg.rf.842de73d6f921d804acd1ea8a1f28413.jpg", "expected": "", "predicted": "```json\n[{\"box_2d\": [746, 694, 822, 753], \"label\": \"egg\"}, {\"box_2d\": [468, 428, 550, 491], \"label\": \"egg\"}]```", "correct": true, "input_tokens": 1236, "output_tokens": 72, "elapsed_seconds": 58.912857790943235, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 59.0537}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 91, "image": "uav20221018_ixfZ_3857_215_png.rf.8020e1329eefd7e68bf3f7c0394e8bdf.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [773, 779, 804, 807], \"label\": \"banana tree\"},\n {\"box_2d\": [838, 777, 868, 809], \"label\": \"banana tree\"},\n {\"box_2d\": [914, 787, 946, 818], \"label\": \"banana tree\"},\n {\"box_2d\": [934, 731, 976, 764], \"label\": \"banana tree\"},\n {\"box_2d\": [870, 725, 920, 767], \"label\": \"banana tree\"},\n {\"box_2d\": [797, 721, 839, 766], \"label\": \"banana tree\"},\n {\"box_2d\": [731, 722, 766, 755], \"label\": \"banana tree\"},\n {\"box_2d\": [659, 722, 695, 754], \"label\": \"banana tree\"},\n {\"box_2d\": [702, 778, 733, 811], \"label\": \"banana tree\"},\n {\"box_2d\": [623, 769, 659, 805], \"label\": \"banana tree\"},\n {\"box_2d\": [556, 773, 591, 808], \"label\": \"banana tree\"},\n {\"box_2d\": [517, 721, 558, 750], \"label\": \"banana tree\"},\n {\"box_2d\": [485, 769, 517, 799], \"label\": \"banana tree\"},\n {\"box_2d\": [406, 758, 449, 801], \"label\": \"banana tree\"},\n {\"box_2d\": [336, 762, 376, 797], \"label\": \"banana tree\"},\n {\"box_2d\": [368, 703, 412, 739], \"label\": \"banana tree\"},\n {\"box_2d\": [300, 694, 349, 745], \"label\": \"banana tree\"},\n {\"box_2d\": [266, 754, 311, 791], \"label\": \"banana tree\"},\n {\"box_2d\": [235, 690, 282, 734], \"label\": \"banana tree\"},\n {\"box_2d\": [194, 754, 240, 790], \"label\": \"banana tree\"},\n {\"box_2d\": [155, 694, 212, 742], \"label\": \"banana tree\"},\n {\"box_2d\": [117, 748, 173, 787], \"label\": \"banana tree\"},\n {\"box_2d\": [86, 686, 134, 728], \"label\": \"banana tree\"},\n {\"box_2d\": [46, 744, 99, 792], \"label\": \"banana tree\"},\n {\"box_2d\": [7, 686, 69, 732], \"label\": \"banana tree\"},\n {\"box_2d\": [48, 945, 99, 997], \"label\": \"banana tree\"},\n {\"box_2d\": [113, 950, 165, 997], \"label\": \"banana tree\"},\n {\"box_2d\": [181, 950, 232, 994], \"label\": \"banana tree\"},\n {\"box_2d\": [254, 951, 293, 992], \"label\": \"banana tree\"},\n {\"box_2d\": [319, 954, 369, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [454, 962, 503, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [595, 957, 643, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [666, 971, 703, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [736, 971, 779, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [804, 982, 834, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [876, 981, 912, 1000], \"label\": \"banana tree\"}\n]\n```", "correct": false, "input_tokens": 1226, "output_tokens": 1271, "elapsed_seconds": 21.65101087500807, "metadata": {"match_method": "map", "num_predictions": 36, "num_ground_truth": 41, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7221527099609375, "attempts": 1, "retries": 0, "total_seconds": 21.7544}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 92, "image": "DJI_0151_JPG_jpg.rf.3936c799be65e9829061aeb413261c06.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 629, 495, 706], \"label\": \"tower crane\"},\n {\"box_2d\": [482, 344, 681, 405], \"label\": \"excavator\"},\n {\"box_2d\": [162, 336, 211, 391], \"label\": \"dump truck\"},\n {\"box_2d\": [158, 437, 211, 487], \"label\": \"concrete mixer\"},\n {\"box_2d\": [126, 61, 173, 129], \"label\": \"concrete mixer\"}\n]\n```", "correct": true, "input_tokens": 1245, "output_tokens": 185, "elapsed_seconds": 180.18471695797052, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 180.7368}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 93, "image": "55_jpeg_jpg.rf.004155dfb8cf69dfe8eec1fad7b643e0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [715, 0, 796, 98], \"label\": \"potato\"},\n {\"box_2d\": [66, 322, 181, 434], \"label\": \"potato\"},\n {\"box_2d\": [63, 912, 173, 1000], \"label\": \"potato\"},\n {\"box_2d\": [247, 804, 385, 910], \"label\": \"potato\"},\n {\"box_2d\": [480, 808, 572, 909], \"label\": \"potato\"},\n {\"box_2d\": [454, 960, 549, 1000], \"label\": \"potato\"},\n {\"box_2d\": [478, 646, 581, 748], \"label\": \"potato\"},\n {\"box_2d\": [478, 520, 619, 636], \"label\": \"potato\"},\n {\"box_2d\": [680, 840, 779, 920], \"label\": \"potato\"},\n {\"box_2d\": [637, 981, 748, 1000], \"label\": \"potato\"},\n {\"box_2d\": [708, 584, 798, 680], \"label\": \"potato\"},\n {\"box_2d\": [885, 617, 984, 718], \"label\": \"potato\"},\n {\"box_2d\": [694, 350, 848, 433], \"label\": \"potato\"},\n {\"box_2d\": [900, 368, 989, 457], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1240, "output_tokens": 486, "elapsed_seconds": 24.599835792090744, "metadata": {"match_method": "map", "num_predictions": 14, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8712871074676514, "attempts": 1, "retries": 0, "total_seconds": 24.641}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 94, "image": "2024-12-05T02-01-39-892Z-3009_jpg.rf.22fd37099b783ab1f80e4172f8bb073a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [553, 310, 675, 412], \"label\": \"retaining clip\"},\n {\"box_2d\": [461, 493, 594, 583], \"label\": \"retaining clip\"},\n {\"box_2d\": [366, 667, 484, 766], \"label\": \"retaining clip\"},\n {\"box_2d\": [647, 634, 779, 738], \"label\": \"retaining clip\"}\n]\n```", "correct": true, "input_tokens": 1201, "output_tokens": 156, "elapsed_seconds": 26.40118775004521, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 26.6909}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 95, "image": "IMG_20251126_160341_jpg.rf.90a2111f9611ba9b2da6fb1312d0ef72.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 336, 200, 427], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [654, 922, 749, 995], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [652, 830, 754, 902], \"label\": \"white standard price tag\"},\n {\"box_2d\": [661, 699, 761, 771], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [659, 587, 765, 658], \"label\": \"white standard price tag\"},\n {\"box_2d\": [652, 492, 929, 563], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [674, 386, 776, 456], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [681, 297, 783, 368], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [687, 206, 792, 277], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [692, 108, 794, 179], \"label\": \"yellow standard price tag\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 380, "elapsed_seconds": 98.13352862501051, "metadata": {"match_method": "map", "num_predictions": 10, "num_ground_truth": 10, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 98.504}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 96, "image": "tile_267_jpg.rf.d3e282883cf21b5fa393f473090fd4b9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [298, 510, 540, 698], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [36, 305, 281, 498], \"label\": \"ship in SAR satellite image\"}\n]\n```", "correct": false, "input_tokens": 1229, "output_tokens": 87, "elapsed_seconds": 7.50546891707927, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5049505233764648, "attempts": 1, "retries": 0, "total_seconds": 7.54}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 97, "image": "IMG_20250815_165441_jpg.rf.4c737e973da64b017b0e386f2b455f62.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [771, 705, 853, 745], \"label\": \"barcode\"},\n {\"box_2d\": [741, 551, 825, 594], \"label\": \"barcode\"},\n {\"box_2d\": [194, 629, 234, 671], \"label\": \"barcode\"},\n {\"box_2d\": [219, 443, 314, 490], \"label\": \"barcode\"},\n {\"box_2d\": [826, 256, 864, 303], \"label\": \"barcode\"},\n {\"box_2d\": [213, 180, 310, 232], \"label\": \"barcode\"},\n {\"box_2d\": [680, 65, 720, 117], \"label\": \"barcode\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 249, "elapsed_seconds": 84.870969666983, "metadata": {"match_method": "map", "num_predictions": 7, "num_ground_truth": 7, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 85.281}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 98, "image": "Lego_63_low_jpeg.rf.6dd24c9abacc96bac5fb5a7d9ce3f907.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [774, 421,, 860, 533], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [672, 413, 767, 512], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [827, 267, 907, 366], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [765, 86, 853, 180], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [622, 44, 725, 143], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [581, 254, 663, 331], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [584, 323, 670, 412], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [498, 372, 594, 431], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [395, 317, 466, 429], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [279, 316, 339, 406], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [214, 352, 281, 453], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [100, 428, 206, 531], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [48, 198, 136, 294], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [183, 104, 268, 189], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [202, 13, 307, 106], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [59, 671, 151, 776], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [28, 753, 131, 823], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [173, 711, 249, 761], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [167, 672, 265, 712], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [222, 796, 308, 876], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [203, 864, 299, 938], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [294, 581, 396, 651], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [471, 538, 571, 610], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [447, 725, 519, 777], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [412, 790, 492, 855], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [459, 835, 534, 916], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [605, 580, 707, 661], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [712, 588, 749, 684], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [670, 673, 749, 734], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [712, 731, 797, 807], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [678, 778, 728, 873], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [744, 789, 845, 886], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [605, 906, 697, 1000], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [673, 963, 747, 1000], \"label\": \"lego 4x1 brick\"}\n]\n```", "correct": false, "input_tokens": 1244, "output_tokens": 1335, "elapsed_seconds": 23.855227416963317, "metadata": {"match_method": "map", "num_predictions": 0, "num_ground_truth": 34, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 23.9493}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 99, "image": "frame_0085_jpg.rf.df2f77641da4fa475877d40e14103949.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [779, 576, 850, 617], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [637, 474, 719, 521], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [703, 347, 796, 389], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [676, 228, 761, 271], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [592, 84, 672, 136], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [803, 77, 886, 129], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [888, 211, 963, 256], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [848, 340, 932, 386], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [866, 472, 919, 514], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [465, 106, 534, 155], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [377, 107, 449, 159], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [262, 129, 326, 174], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [140, 113, 206, 152], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [44, 139, 106, 180], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 189, 29, 219], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [25, 247, 73, 289], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [134, 229, 197, 268], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [273, 229, 340, 270], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [418, 234, 487, 281], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [530, 340, 597, 387], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [437, 355, 501, 392], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [424, 469, 484, 504], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [341, 552, 402, 586], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [368, 676, 432, 709], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [183, 610, 234, 641], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [232, 428, 309, 471], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [316, 353, 389, 397], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [161, 345, 220, 381], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [49, 341, 108, 374], \"label\": \"garlic on conveyor\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 1047, "elapsed_seconds": 33.01366250007413, "metadata": {"match_method": "map", "num_predictions": 29, "num_ground_truth": 28, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9829292893409729, "attempts": 1, "retries": 0, "total_seconds": 33.1481}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 100, "image": "basketball-player-detection_boston-celtics-new-york-knicks-game-4-q1-00-05-00-01-0115_png.rf.268163bdbdd382dbeaa9df9d19cf50ae.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [773, 180, 799, 195], \"label\": \"jersey number\"},\n {\"box_2d\": [704, 168, 963, 236], \"label\": \"player\"},\n {\"box_2d\": [540, 360, 761, 405], \"label\": \"player\"},\n {\"box_2d\": [283, 338, 455, 378], \"label\": \"referee\"},\n {\"box_2d\": [324, 108, 468, 163], \"label\": \"player\"},\n {\"box_2d\": [306, 151, 517, 194], \"label\": \"player\"},\n {\"box_2d\": [356, 165, 371, 177], \"label\": \"jersey number\"},\n {\"box_2d\": [319, 523, 492, 567], \"label\": \"player\"},\n {\"box_2d\": [387, 563, 404, 578], \"label\": \"jersey number\"},\n {\"box_2d\": [346, 545, 535, 610], \"label\": \"player\"},\n {\"box_2d\": [506, 745, 526, 758], \"label\": \"jersey number\"},\n {\"box_2d\": [295, 711, 326, 753], \"label\": \"basket rim\"},\n {\"box_2d\": [459, 711, 635, 750], \"label\": \"player\"},\n {\"box_2d\": [453, 735, 678, 777], \"label\": \"player\"},\n {\"box_2d\": [565, 748, 792, 807], \"label\": \"player\"},\n {\"box_2d\": [669, 850, 692, 860], \"label\": \"jersey number\"},\n {\"box_2d\": [610, 811, 845, 872], \"label\": \"player\"},\n {\"box_2d\": [723, 297, 880, 327], \"label\": \"referee\"}\n]\n```", "correct": false, "input_tokens": 1250, "output_tokens": 632, "elapsed_seconds": 86.23512129101437, "metadata": {"match_method": "map", "num_predictions": 18, "num_ground_truth": 25, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3696369528770447, "attempts": 1, "retries": 0, "total_seconds": 86.365}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 101, "image": "construction-safety_ppe_0720_jpg.rf.cfd070890ac09790250bebd1b430d69f.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [238, 12, 297, 58], \"label\": \"safety helmet\"},\n {\"box_2d\": [291, 93, 353, 141], \"label\": \"safety helmet\"},\n {\"box_2d\": [209, 184, 270, 229], \"label\": \"safety helmet\"},\n {\"box_2d\": [267, 259, 337, 304], \"label\": \"safety helmet\"},\n {\"box_2d\": [189, 329, 250, 374], \"label\": \"safety helmet\"},\n {\"box_2d\": [211, 420, 272, 466], \"label\": \"safety helmet\"},\n {\"box_2d\": [211, 492, 270, 538], \"label\": \"safety helmet\"},\n {\"box_2d\": [243, 577, 303, 624], \"label\": \"safety helmet\"},\n {\"box_2d\": [196, 678, 261, 727], \"label\": \"safety helmet\"},\n {\"box_2d\": [117, 745, 200, 804], \"label\": \"safety helmet\"},\n {\"box_2d\": [151, 809, 220, 853], \"label\": \"safety helmet\"},\n {\"box_2d\": [180, 836, 261, 896], \"label\": \"safety helmet\"},\n {\"box_2d\": [139, 900, 229, 978], \"label\": \"safety helmet\"},\n {\"box_2d\": [360, 0, 622, 77], \"label\": \"safety vest\"},\n {\"box_2d\": [400, 79, 654, 165], \"label\": \"safety vest\"},\n {\"box_2d\": [324, 171, 596, 251], \"label\": \"safety vest\"},\n {\"box_2d\": [378, 252, 616, 313], \"label\": \"safety vest\"},\n {\"box_2d\": [326, 309, 582, 405], \"label\": \"safety vest\"},\n {\"box_2d\": [321, 402, 593, 484], \"label\": \"safety vest\"},\n {\"box_2d\": [328, 484, 573, 563], \"label\": \"safety vest\"},\n {\"box_2d\": [362, 572, 596, 646], \"label\": \"safety vest\"},\n {\"box_2d\": [330, 665, 596, 745], \"label\": \"safety vest\"},\n {\"box_2d\": [254, 745, 548, 832], \"label\": \"safety vest\"},\n {\"box_2d\": [324, 829, 636, 900], \"label\": \"safety vest\"},\n {\"box_2d\": [308, 886, 667, 1000], \"label\": \"safety vest\"},\n {\"box_2d\": [238, 0, 998, 82], \"label\": \"person\"},\n {\"box_2d\": [290, 74, 987, 178], \"label\": \"person\"},\n {\"box_2d\": [209, 160, 982, 275], \"label\": \"person\"},\n {\"box_2d\": [267, 239, 978, 320], \"label\": \"person\"},\n {\"box_2d\": [189, 294, 998, 402], \"label\": \"person\"},\n {\"box_2d\": [211, 396, 980, 493], \"label\": \"person\"},\n {\"box_2d\": [209, 478, 966, 572], \"label\": \"person\"},\n {\"box_2d\": [243, 564, 987, 662], \"label\": \"person\"},\n {\"box_2d\": [196, 656, 998, 748], \"label\": \"person\"},\n {\"box_2d\": [117, 738, 998, 845], \"label\": \"person\"},\n {\"box_2d\": [151, 809, 297, 853], \"label\": \"person\"},\n {\"box_2d\": [180, 820, 998, 902], \"label\": \"person\"},\n {\"box_2d\": [139, 871, 998, 1000], \"label\": \"person\"}\n]\n```", "correct": true, "input_tokens": 1198, "output_tokens": 1320, "elapsed_seconds": 23.531098457984626, "metadata": {"match_method": "map", "num_predictions": 38, "num_ground_truth": 38, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 23.5649}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 102, "image": "fabric-defect_1213_jpg.rf.f4cb351d5d6f226d23075b9a6a549416.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [468, 725, 591, 780], \"label\": \"fabric cut\"}\n]\n```", "correct": false, "input_tokens": 1226, "output_tokens": 47, "elapsed_seconds": 13.113083750009537, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5049504637718201, "attempts": 1, "retries": 0, "total_seconds": 13.1268}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 103, "image": "indir-2-_jpeg_jpg.rf.cabde9f9d89b7527f52820f6df64e1b7.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [17, 25, 48, 309], \"label\": \"technical drawing table\"},\n {\"box_2d\": [17, 905, 47, 976], \"label\": \"technical drawing table\"},\n {\"box_2d\": [915, 209, 983, 975], \"label\": \"technical drawing table\"},\n {\"box_2d\": [364, 248, 381, 582], \"label\": \"dimension annotation\"},\n {\"box_2d\": [417, 89, 517, 203], \"label\": \"dimension annotation\"},\n {\"box_2d\": [434, 305, 513, 450], \"label\": \"dimension annotation\"},\n {\"box_2d\": [498, 70, 574, 182], \"label\": \"dimension annotation\"},\n {\"box_2d\": [423, 656, 574, 681], \"label\": \"dimension annotation\"},\n {\"box_2d\": [617, 182, 633, 289], \"label\": \"dimension annotation\"},\n {\"box_2d\": [617, 415, 633, 515], \"label\": \"dimension annotation\"},\n {\"box_2d\": [617, 516, 633, 582], \"label\": \"dimension annotation\"},\n {\"box_2d\": [619, 755, 640, 888], \"label\": \"dimension annotation\"},\n {\"box_2d\": [678, 56, 706, 80], \"label\": \"dimension annotation\"},\n {\"box_2d\": [706, 56, 843, 80], \"label\": \"dimension annotation\"},\n {\"box_2d\": [760, 249, 777, 343], \"label\": \"dimension annotation\"},\n {\"box_2d\": [815, 623, 844, 647], \"label\": \"dimension annotation\"},\n {\"box_2d\": [755, 665, 802, 748], \"label\": \"dimension annotation\"}\n]\n```", "correct": false, "input_tokens": 1233, "output_tokens": 599, "elapsed_seconds": 9.970369667047635, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.1772748827934265, "attempts": 1, "retries": 0, "total_seconds": 9.983}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 104, "image": "wood-log-detection_019_png_jpg.rf.0c10ed1caffd0ca9926a3f2f5de3a24a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [148, 56, 211, 144], \"label\": \"log cross-section\"},\n {\"box_2d\": [219, 102, 267, 162], \"label\": \"log cross-section\"},\n {\"box_2d\": [202, 162, 264, 253], \"label\": \"log cross-section\"},\n {\"box_2d\": [188, 236, 223, 275], \"label\": \"log cross-section\"},\n {\"box_2d\": [209, 286, 238, 323], \"label\": \"log cross-section\"},\n {\"box_2d\": [166, 286, 212, 344], \"label\": \"log cross-section\"},\n {\"box_2d\": [167, 405, 206, 456], \"label\": \"log cross-section\"},\n {\"box_2d\": [167, 498, 231, 578], \"label\": \"log cross-section\"},\n {\"box_2d\": [212, 328, 289, 422], \"label\": \"log cross-section\"},\n {\"box_2d\": [250, 281, 294, 330], \"label\": \"log cross-section\"},\n {\"box_2d\": [288, 200, 369, 306], \"label\": \"log cross-section\"},\n {\"box_2d\": [264, 53, 309, 117], \"label\": \"log cross-section\"},\n {\"box_2d\": [278, 134, 320, 183], \"label\": \"log cross-section\"},\n {\"box_2d\": [314, 67, 362, 134], \"label\": \"log cross-section\"},\n {\"box_2d\": [331, 133, 370, 180], \"label\": \"log cross-section\"},\n {\"box_2d\": [392, 92, 447, 166], \"label\": \"log cross-section\"},\n {\"box_2d\": [456, 89, 494, 141], \"label\": \"log cross-section\"},\n {\"box_2d\": [438, 152, 530, 273], \"label\": \"log cross-section\"},\n {\"box_2d\": [495, 70, 558, 153], \"label\": \"log cross-section\"},\n {\"box_2d\": [530, 161, 561, 203], \"label\": \"log cross-section\"},\n {\"box_2d\": [558, 77, 612, 150], \"label\": \"log cross-section\"},\n {\"box_2d\": [562, 170, 603, 217], \"label\": \"log cross-section\"},\n {\"box_2d\": [514, 212, 581, 303], \"label\": \"log cross-section\"},\n {\"box_2d\": [483, 267, 522, 314], \"label\": \"log cross-section\"},\n {\"box_2d\": [420, 270, 472, 333], \"label\": \"log cross-section\"},\n {\"box_2d\": [348, 241, 402, 316], \"label\": \"log cross-section\"},\n {\"box_2d\": [322, 322, 400, 431], \"label\": \"log cross-section\"},\n {\"box_2d\": [234, 419, 327, 553], \"label\": \"log cross-section\"},\n {\"box_2d\": [228, 541, 298, 634], \"label\": \"log cross-section\"},\n {\"box_2d\": [225, 672, 272, 731], \"label\": \"log cross-section\"},\n {\"box_2d\": [222, 736, 278, 800], \"label\": \"log cross-section\"},\n {\"box_2d\": [214, 808, 294, 894], \"label\": \"log cross-section\"},\n {\"box_2d\": [278, 752, 314, 795], \"label\": \"log cross-section\"},\n {\"box_2d\": [270, 658, 338, 739], \"label\": \"log cross-section\"},\n {\"box_2d\": [303, 538, 372, 622], \"label\": \"log cross-section\"},\n {\"box_2d\": [355, 427, 398, 492], \"label\": \"log cross-section\"},\n {\"box_2d\": [397, 427, 430, 480], \"label\": \"log cross-section\"},\n {\"box_2d\": [370, 498, 441, 586], \"label\": \"log cross-section\"},\n {\"box_2d\": [352, 603, 430, 703], \"label\": \"log cross-section\"},\n {\"box_2d\": [323, 703, 388, 788], \"label\": \"log cross-section\"},\n {\"box_2d\": [302, 777, 358, 845], \"label\": \"log cross-section\"},\n {\"box_2d\": [367, 805, 406, 855], \"label\": \"log cross-section\"},\n {\"box_2d\": [406, 897, 444, 945], \"label\": \"log cross-section\"},\n {\"box_2d\": [441, 791, 472, 833], \"label\": \"log cross-section\"},\n {\"box_2d\": [469, 834, 498, 875], \"label\": \"log cross-section\"},\n {\"box_2d\": [456, 720, 511, 792], \"label\": \"log cross-section\"},\n {\"box_2d\": [434, 622, 488, 691], \"label\": \"log cross-section\"},\n {\"box_2d\": [478, 678, 516, 723], \"label\": \"log cross-section\"},\n {\"box_2d\": [505, 864, 536, 897], \"label\": \"log cross-section\"},\n {\"box_2d\": [525, 828, 553, 861], \"label\": \"log cross-section\"},\n {\"box_2d\": [511, 772, 556, 819], \"label\": \"log cross-section\"},\n {\"box_2d\": [511, 717, 556, 775], \"label\": \"log cross-section\"},\n {\"box_2d\": [514, 639, 555, 686], \"label\": \"log cross-section\"},\n {\"box_2d\": [466, 548, 520, 622], \"label\": \"log cross-section\"},\n {\"box_2d\": [455, 450, 514, 538], \"label\": \"log cross-section\"},\n {\"box_2d\": [431, 412, 467, 467], \"label\": \"log cross-section\"},\n {\"box_2d\": [456, 355, 525, 444], \"label\": \"log cross-section\"},\n {\"box_2d\": [506, 308, 567, 384], \"label\": \"log cross-section\"},\n {\"box_2d\": [602, 169, 639, 223], \"label\": \"log cross-section\"},\n {\"box_2d\": [594, 223, 647, 286], \"label\": \"log cross-section\"},\n {\"box_2d\": [623, 67, 720, 195], \"label\": \"log cross-section\"},\n {\"box_2d\": [639, 202, 722, 323], \"label\": \"log cross-section\"},\n {\"box_2d\": [691, 300, 723, 338], \"label\": \"log cross-section\"},\n {\"box_2d\": [622, 322, 725, 452], \"label\": \"log cross-section\"},\n {\"box_2d\": [578, 391, 625, 477], \"label\": \"log cross-section\"},\n {\"box_2d\": [508, 483, 578, 578], \"label\": \"log cross-section\"},\n {\"box_2d\": [567, 572, 608, 612], \"label\": \"log cross-section\"},\n {\"box_2d\": [542, 609, 597, 678], \"label\": \"log cross-section\"},\n {\"box_2d\": [556, 691, 616, 773], \"label\": \"log cross-section\"},\n {\"box_2d\": [558, 788, 600, 845], \"label\": \"log cross-section\"},\n {\"box_2d\": [584, 844, 617, 884], \"label\": \"log cross-section\"},\n {\"box_2d\": [605, 817, 639, 855], \"label\": \"log cross-section\"},\n {\"box_2d\": [625, 830, 672, 889], \"label\": \"log cross-section\"},\n {\"box_2d\": [672, 844, 691, 875], \"label\": \"log cross-section\"},\n {\"box_2d\": [689, 834, 720, 881], \"label\": \"log cross-section\"},\n {\"box_2d\": [712, 792, 748, 831], \"label\": \"log cross-section\"},\n {\"box_2d\": [688, 722, 720, 759], \"label\": \"log cross-section\"},\n {\"box_2d\": [612, 731, 666, 797], \"label\": \"log cross-section\"},\n {\"box_2d\": [614, 672, 658, 730], \"label\": \"log cross-section\"},\n {\"box_2d\": [653, 686, 680, 733], \"label\": \"log cross-section\"},\n {\"box_2d\": [577, 489, 623, 573], \"label\": \"log cross-section\"},\n {\"box_2d\": [611, 578, 639, 623], \"label\": \"log cross-section\"},\n {\"box_2d\": [633, 583, 675, 642], \"label\": \"log cross-section\"},\n {\"box_2d\": [623, 519, 673, 583], \"label\": \"log cross-section\"},\n {\"box_2d\": [636, 469, 670, 512], \"label\": \"log cross-section\"},\n {\"box_2d\": [675, 475, 739, 555], \"label\": \"log cross-section\"},\n {\"box_2d\": [706, 595, 747, 641], \"label\": \"log cross-section\"},\n {\"box_2d\": [702, 639, 745, 688], \"label\": \"log cross-section\"}\n]\n```", "correct": true, "input_tokens": 1228, "output_tokens": 3260, "elapsed_seconds": 47.54466391704045, "metadata": {"match_method": "map", "num_predictions": 88, "num_ground_truth": 91, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9401440024375916, "attempts": 1, "retries": 0, "total_seconds": 47.5731}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 105, "image": "170571v_JPG_jpg.rf.044f16a58ffbf60b2d7a3d41cd3a4fdf.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [445, 463, 513, 672], \"label\": \"cracked insulator\"},\n {\"box_2d\": [497, 466, 569, 674], \"label\": \"cracked insulator\"},\n {\"box_2d\": [562, 464, 637, 676], \"label\": \"cracked insulator\"},\n {\"box_2d\": [713, 496, 779, 681], \"label\": \"cracked insulator\"},\n {\"box_2d\": [763, 487, 839, 684], \"label\": \"cracked insulator\"}\n]\n```", "correct": true, "input_tokens": 1244, "output_tokens": 192, "elapsed_seconds": 108.68609629198909, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 109.194}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 106, "image": "IMG_20260128_081412_jpg.rf.4a044ae2d306c8ba7e741477be920225.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [32, 0, 118, 43], \"label\": \"white standard price tag\"},\n {\"box_2d\": [39, 71, 118, 128], \"label\": \"white standard price tag\"},\n {\"box_2d\": [38, 148, 120, 211], \"label\": \"white standard price tag\"},\n {\"box_2d\": [52, 241, 127, 301], \"label\": \"white standard price tag\"},\n {\"box_2d\": [54, 342, 129, 398], \"label\": \"white standard price tag\"},\n {\"box_2d\": [52, 421, 127, 479], \"label\": \"white standard price tag\"},\n {\"box_2d\": [66, 529, 145, 588], \"label\": \"white standard price tag\"},\n {\"box_2d\": [68, 670, 140, 728], \"label\": \"white standard price tag\"},\n {\"box_2d\": [77, 770, 152, 829], \"label\": \"white standard price tag\"},\n {\"box_2d\": [88, 849, 163, 909], \"label\": \"white standard price tag\"},\n {\"box_2d\": [77, 926, 152, 987], \"label\": \"white standard price tag\"},\n {\"box_2d\": [662, 50, 730, 106], \"label\": \"white standard price tag\"},\n {\"box_2d\": [683, 222, 757, 276], \"label\": \"white standard price tag\"},\n {\"box_2d\": [691, 329, 764, 381], \"label\": \"white standard price tag\"},\n {\"box_2d\": [699, 648, 773, 703], \"label\": \"white standard price tag\"},\n {\"box_2d\": [701, 726, 775, 782], \"label\": \"white standard price tag\"},\n {\"box_2d\": [703, 819, 776, 876], \"label\": \"white standard price tag\"},\n {\"box_2d\": [712, 895, 784, 950], \"label\": \"white standard price tag\"},\n {\"box_2d\": [674, 419, 927, 487], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [676, 562, 932, 628], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [696, 945, 945, 1000], \"label\": \"yellow large price tag\"}\n]\n```", "correct": true, "input_tokens": 1222, "output_tokens": 774, "elapsed_seconds": 121.55817608302459, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 21, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 122.0374}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 107, "image": "IMG_20220316_163220_jpg.rf.07e174636631b0be143879d240f8f468.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [288, 79, 756, 378], \"label\": \"three of diamonds\"},\n {\"box_2d\": [406, 82, 924, 405], \"label\": \"ace of diamonds\"},\n {\"box_2d\": [400, 396, 871, 731], \"label\": \"two of diamonds\"},\n {\"box_2d\": [156, 452, 636, 809], \"label\": \"four of diamonds\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 154, "elapsed_seconds": 9.685998750035651, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 9.7272}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 108, "image": "2e57b9_3_10_png_jpg.rf.93746b4a960366b1a012ad339a5d68e1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [749, 160, 811, 180], \"label\": \"player\"},\n {\"box_2d\": [579, 59, 623, 70], \"label\": \"player\"},\n {\"box_2d\": [474, 138, 513, 145], \"label\": \"goalkeeper\"},\n {\"box_2d\": [506, 144, 513, 149], \"label\": \"football\"},\n {\"box_2d\": [457, 217, 495, 229], \"label\": \"player\"},\n {\"box_2d\": [482, 213, 519, 224], \"label\": \"player\"},\n {\"box_2d\": [501, 284, 542, 295], \"label\": \"player\"},\n {\"box_2d\": [581, 237, 626, 246], \"label\": \"player\"},\n {\"box_2d\": [425, 265, 461, 272], \"label\": \"player\"},\n {\"box_2d\": [380, 391, 405, 397], \"label\": \"player\"},\n {\"box_2d\": [416, 389, 449, 397], \"label\": \"player\"},\n {\"box_2d\": [589, 350, 637, 360], \"label\": \"player\"},\n {\"box_2d\": [586, 439, 634, 446], \"label\": \"player\"},\n {\"box_2d\": [448, 458, 482, 465], \"label\": \"player\"},\n {\"box_2d\": [494, 480, 535, 489], \"label\": \"referee\"},\n {\"box_2d\": [473, 501, 512, 508], \"label\": \"player\"},\n {\"box_2d\": [545, 464, 589, 476], \"label\": \"player\"},\n {\"box_2d\": [544, 496, 590, 504], \"label\": \"player\"},\n {\"box_2d\": [691, 488, 747, 499], \"label\": \"player\"},\n {\"box_2d\": [406, 631, 438, 637], \"label\": \"player\"},\n {\"box_2d\": [407, 658, 438, 666], \"label\": \"player\"},\n {\"box_2d\": [452, 677, 490, 684], \"label\": \"player\"},\n {\"box_2d\": [535, 694, 580, 703], \"label\": \"player\"},\n {\"box_2d\": [913, 743, 987, 771], \"label\": \"referee\"}\n]\n```", "correct": true, "input_tokens": 1242, "output_tokens": 829, "elapsed_seconds": 46.150410707923584, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9034652709960938, "attempts": 1, "retries": 0, "total_seconds": 46.2832}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 109, "image": "img283_png.rf.c0609f1f38390a89165e7c735d693ab6.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [29, 540, 95, 623], \"label\": \"and gate symbol\"},\n {\"box_2d\": [77, 366, 143, 449], \"label\": \"and gate symbol\"},\n {\"box_2d\": [123, 540, 189, 623], \"label\": \"and gate symbol\"},\n {\"box_2d\": [218, 540, 284, 623], \"label\": \"and gate symbol\"},\n {\"box_2d\": [171, 755, 237, 839], \"label\": \"or gate symbol\"},\n {\"box_2d\": [250, 366, 316, 449], \"label\": \"and gate symbol\"},\n {\"box_2d\": [329, 540, 396, 623], \"label\": \"and gate symbol\"},\n {\"box_2d\": [393, 393, 459, 476], \"label\": \"and gate symbol\"},\n {\"box_2d\": [488, 393, 554, 476], \"label\": \"and gate symbol\"},\n {\"box_2d\": [582, 393, 648, 476], \"label\": \"and gate symbol\"},\n {\"box_2d\": [678, 393, 744, 476], \"label\": \"and gate symbol\"},\n {\"box_2d\": [440, 540, 506, 623], \"label\": \"or gate symbol\"},\n {\"box_2d\": [630, 540, 696, 623], \"label\": \"or gate symbol\"},\n {\"box_2d\": [535, 701, 601, 785], \"label\": \"and gate symbol\"},\n {\"box_2d\": [661, 862, 728, 946], \"label\": \"or gate symbol\"},\n {\"box_2d\": [788, 366, 855, 449], \"label\": \"and gate symbol\"},\n {\"box_2d\": [836, 554, 902, 637], \"label\": \"or gate symbol\"},\n {\"box_2d\": [915, 353, 981, 436], \"label\": \"and gate symbol\"},\n {\"box_2d\": [345, 37, 389, 78], \"label\": \"not gate symbol\"},\n {\"box_2d\": [345, 91, 389, 132], \"label\": \"not gate symbol\"},\n {\"box_2d\": [551, 145, 594, 186], \"label\": \"not gate symbol\"},\n {\"box_2d\": [551, 198, 594, 240], \"label\": \"not gate symbol\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 798, "elapsed_seconds": 10.031225832994096, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 10.0443}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 110, "image": "000002_png.rf.4f51fa98e7c1b825375b26d30324d587.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [75, 480, 102, 560], \"label\": \"tire spike absent\"},\n {\"box_2d\": [92, 502, 130, 588], \"label\": \"tire spike absent\"},\n {\"box_2d\": [108, 502, 150, 622], \"label\": \"tire spike absent\"},\n {\"box_2d\": [132, 520, 165, 627], \"label\": \"tire spike absent\"},\n {\"box_2d\": [149, 558, 223, 667], \"label\": \"tire spike normal\"},\n {\"box_2d\": [219, 585, 304, 718], \"label\": \"tire spike normal\"},\n {\"box_2d\": [288, 635, 366, 757], \"label\": \"tire spike normal\"},\n {\"box_2d\": [360, 667, 459, 807], \"label\": \"tire spike normal\"},\n {\"box_2d\": [438, 715, 520, 833], \"label\": \"tire spike normal\"},\n {\"box_2d\": [508, 745, 598, 862], \"label\": \"tire spike normal\"},\n {\"box_2d\": [584, 780, 691, 882], \"label\": \"tire spike normal\"},\n {\"box_2d\": [666, 795, 761, 907], \"label\": \"tire spike normal\"},\n {\"box_2d\": [732, 825, 830, 912], \"label\": \"tire spike normal\"},\n {\"box_2d\": [791, 823, 886, 918], \"label\": \"tire spike absent\"},\n {\"box_2d\": [925, 522, 991, 662], \"label\": \"tire spike normal\"},\n {\"box_2d\": [864, 513, 938, 637], \"label\": \"tire spike absent\"},\n {\"box_2d\": [795, 470, 881, 610], \"label\": \"tire spike absent\"},\n {\"box_2d\": [700, 442, 806, 583], \"label\": \"tire spike normal\"},\n {\"box_2d\": [610, 388, 715, 540], \"label\": \"tire spike absent\"},\n {\"box_2d\": [535, 345, 630, 502], \"label\": \"tire spike normal\"},\n {\"box_2d\": [459, 323, 555, 472], \"label\": \"tire spike normal\"},\n {\"box_2d\": [376, 275, 488, 442], \"label\": \"tire spike normal\"},\n {\"box_2d\": [291, 240, 408, 405], \"label\": \"tire spike normal\"},\n {\"box_2d\": [214, 198, 321, 360], \"label\": \"tire spike absent\"},\n {\"box_2d\": [160, 178, 250, 315], \"label\": \"tire spike absent\"},\n {\"box_2d\": [120, 152, 192, 273], \"label\": \"tire spike normal\"},\n {\"box_2d\": [92, 153, 144, 248], \"label\": \"tire spike normal\"},\n {\"box_2d\": [78, 138, 121, 232], \"label\": \"tire spike absent\"}\n]\n```", "correct": false, "input_tokens": 1244, "output_tokens": 1016, "elapsed_seconds": 14.090215542004444, "metadata": {"match_method": "map", "num_predictions": 28, "num_ground_truth": 25, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 14.1211}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 111, "image": "20210325_203906_jpg.rf.933d9e03e479d146bb70034cc952f103.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [759, 434, 927, 606], \"label\": \"10 euro cent coin\"},\n {\"box_2d\": [541, 217, 742, 420], \"label\": \"1 euro coin\"},\n {\"box_2d\": [477, 458, 672, 656], \"label\": \"20 euro cent coin\"},\n {\"box_2d\": [319, 70, 539, 292], \"label\": \"50 euro cent coin\"},\n {\"box_2d\": [266, 366, 455, 555], \"label\": \"5 euro cent coin\"},\n {\"box_2d\": [153, 223, 300, 372], \"label\": \"1 euro cent coin\"},\n {\"box_2d\": [125, 517, 300, 691], \"label\": \"2 euro cent coin\"},\n {\"box_2d\": [331, 652, 567, 894], \"label\": \"2 euro coin\"}\n]\n```", "correct": true, "input_tokens": 1272, "output_tokens": 308, "elapsed_seconds": 6.0395802080165595, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 6.0583}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 112, "image": "IMG_6680_jpeg_jpg.rf.a7e13dbe56d360a8422903a30c5bef2b.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [504, 33, 562, 203], \"label\": \"green poker chip\"},\n {\"box_2d\": [450, 31, 526, 198], \"label\": \"green poker chip\"},\n {\"box_2d\": [488, 29, 545, 202], \"label\": \"green poker chip\"},\n {\"box_2d\": [485, 232, 538, 386], \"label\": \"orange poker chip\"},\n {\"box_2d\": [497, 217, 560, 369], \"label\": \"orange poker chip\"},\n {\"box_2d\": [447, 229, 519, 383], \"label\": \"orange poker chip\"},\n {\"box_2d\": [474, 421, 536, 574], \"label\": \"red poker chip\"},\n {\"box_2d\": [446, 432, 517, 583], \"label\": \"red poker chip\"},\n {\"box_2d\": [498, 437, 557, 589], \"label\": \"red poker chip\"},\n {\"box_2d\": [447, 623, 521, 782], \"label\": \"blue poker chip\"},\n {\"box_2d\": [506, 625, 561, 786], \"label\": \"blue poker chip\"},\n {\"box_2d\": [488, 624, 538, 780], \"label\": \"blue poker chip\"},\n {\"box_2d\": [477, 815, 533, 987], \"label\": \"white poker chip\"},\n {\"box_2d\": [438, 804, 509, 970], \"label\": \"white poker chip\"},\n {\"box_2d\": [488, 813, 549, 988], \"label\": \"white poker chip\"}\n]\n```", "correct": true, "input_tokens": 1243, "output_tokens": 549, "elapsed_seconds": 11.661634625052102, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 11.684}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 113, "image": "paper-parts_1947_92_jpg.rf.c89564b4b37a6d7828cc26ccdadbe488.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [99, 861, 113, 879], \"label\": \"page number\"},\n {\"box_2d\": [99, 118, 113, 631], \"label\": \"paragraph\"},\n {\"box_2d\": [141, 232, 472, 769], \"label\": \"figure\"},\n {\"box_2d\": [485, 118, 518, 881], \"label\": \"figure caption\"},\n {\"box_2d\": [521, 494, 536, 499], \"label\": \"paragraph\"},\n {\"box_2d\": [549, 267, 564, 732], \"label\": \"table caption\"},\n {\"box_2d\": [579, 225, 691, 774], \"label\": \"table\"},\n {\"box_2d\": [720, 118, 753, 881], \"label\": \"paragraph\"},\n {\"box_2d\": [776, 118, 791, 336], \"label\": \"subsection\"},\n {\"box_2d\": [804, 118, 837, 881], \"label\": \"paragraph\"},\n {\"box_2d\": [845, 427, 878, 571], \"label\": \"equation\"},\n {\"box_2d\": [888, 118, 912, 536], \"label\": \"paragraph\"}\n]\n```", "correct": true, "input_tokens": 1255, "output_tokens": 421, "elapsed_seconds": 12.26050249999389, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 10, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8249999284744263, "attempts": 1, "retries": 0, "total_seconds": 12.3203}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 114, "image": "160623_JPG_jpg.rf.4a3c396118b0f749044f2bf5dc9876a6.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 405, 962, 517], \"label\": \"insulator flashover\"}\n]\n```", "correct": false, "input_tokens": 1218, "output_tokens": 47, "elapsed_seconds": 167.3116772089852, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 168.2164}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 115, "image": "97_jpg.rf.6e96875525666efd5c6ee92a42ea704b.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [156, 444, 232, 488], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [365, 417, 454, 468], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [397, 258, 432, 314], \"label\": \"resistor symbol\"},\n {\"box_2d\": [400, 639, 435, 709], \"label\": \"resistor symbol\"},\n {\"box_2d\": [362, 770, 444, 809], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [546, 519, 648, 561], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [505, 114, 616, 159], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [813, 281, 860, 353], \"label\": \"resistor symbol\"},\n {\"box_2d\": [556, 863, 692, 886], \"label\": \"resistor symbol\"}\n]\n```", "correct": true, "input_tokens": 1251, "output_tokens": 341, "elapsed_seconds": 5.807546957978047, "metadata": {"match_method": "map", "num_predictions": 9, "num_ground_truth": 9, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 5.8152}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 116, "image": "IMG_20260128_081234_jpg.rf.66b0abebc9fc2c6dc309b213a32ddf78.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [742, 43, 839, 108], \"label\": \"white standard price tag\"},\n {\"box_2d\": [746, 258, 845, 329], \"label\": \"white standard price tag\"},\n {\"box_2d\": [744, 355, 843, 427], \"label\": \"white standard price tag\"},\n {\"box_2d\": [736, 441, 835, 512], \"label\": \"white standard price tag\"},\n {\"box_2d\": [746, 558, 842, 628], \"label\": \"white standard price tag\"},\n {\"box_2d\": [747, 701, 846, 769], \"label\": \"white standard price tag\"},\n {\"box_2d\": [749, 807, 847, 874], \"label\": \"white standard price tag\"},\n {\"box_2d\": [746, 882, 844, 947], \"label\": \"white standard price tag\"},\n {\"box_2d\": [748, 950, 846, 1000], \"label\": \"white standard price tag\"},\n {\"box_2d\": [3, 80, 363, 189], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [11, 297, 354, 396], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [27, 405, 358, 492], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [65, 589, 170, 667], \"label\": \"white standard price tag\"},\n {\"box_2d\": [71, 900, 176, 976], \"label\": \"white standard price tag\"}\n]\n```", "correct": true, "input_tokens": 1222, "output_tokens": 523, "elapsed_seconds": 84.91857858304866, "metadata": {"match_method": "map", "num_predictions": 14, "num_ground_truth": 14, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 85.3337}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 117, "image": "1668147222__jpg.rf.44d299ff8b2787b4176e92260de001ce.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [598, 40, 643, 68], \"label\": \"five die\"},\n {\"box_2d\": [506, 108, 560, 141], \"label\": \"six die\"},\n {\"box_2d\": [356, 125, 401, 152], \"label\": \"six die\"},\n {\"box_2d\": [567, 145, 624, 179], \"label\": \"three die\"},\n {\"box_2d\": [841, 121, 899, 154], \"label\": \"five die\"},\n {\"box_2d\": [423, 221, 469, 248], \"label\": \"five die\"},\n {\"box_2d\": [281, 206, 327, 234], \"label\": \"five die\"},\n {\"box_2d\": [373, 293, 427, 324], \"label\": \"one die\"},\n {\"box_2d\": [424, 305, 471, 330], \"label\": \"two die\"},\n {\"box_2d\": [583, 285, 634, 313], \"label\": \"six die\"},\n {\"box_2d\": [130, 318, 185, 349], \"label\": \"four die\"},\n {\"box_2d\": [174, 381, 231, 412], \"label\": \"two die\"},\n {\"box_2d\": [135, 398, 191, 429], \"label\": \"one die\"},\n {\"box_2d\": [525, 391, 580, 422], \"label\": \"four die\"},\n {\"box_2d\": [643, 373, 699, 404], \"label\": \"six die\"},\n {\"box_2d\": [757, 449, 804, 474], \"label\": \"five die\"},\n {\"box_2d\": [758, 509, 811, 537], \"label\": \"four die\"},\n {\"box_2d\": [771, 563, 828, 595], \"label\": \"five die\"},\n {\"box_2d\": [626, 502, 671, 527], \"label\": \"two die\"},\n {\"box_2d\": [630, 540, 686, 572], \"label\": \"two die\"},\n {\"box_2d\": [592, 583, 637, 608], \"label\": \"five die\"},\n {\"box_2d\": [401, 473, 456, 503], \"label\": \"one die\"},\n {\"box_2d\": [302, 490, 353, 517], \"label\": \"three die\"},\n {\"box_2d\": [212, 496, 269, 528], \"label\": \"one die\"},\n {\"box_2d\": [229, 529, 281, 556], \"label\": \"two die\"},\n {\"box_2d\": [181, 538, 239, 571], \"label\": \"five die\"},\n {\"box_2d\": [125, 553, 180, 582], \"label\": \"two die\"},\n {\"box_2d\": [169, 569, 224, 600], \"label\": \"two die\"},\n {\"box_2d\": [20, 613, 80, 645], \"label\": \"five die\"},\n {\"box_2d\": [376, 530, 430, 562], \"label\": \"six die\"},\n {\"box_2d\": [461, 586, 517, 618], \"label\": \"six die\"},\n {\"box_2d\": [482, 626, 537, 658], \"label\": \"one die\"},\n {\"box_2d\": [537, 628, 589, 658], \"label\": \"four die\"},\n {\"box_2d\": [568, 651, 625, 682], \"label\": \"six die\"},\n {\"box_2d\": [641, 665, 696, 696], \"label\": \"three die\"},\n {\"box_2d\": [286, 612, 342, 644], \"label\": \"two die\"},\n {\"box_2d\": [332, 634, 383, 661], \"label\": \"two die\"},\n {\"box_2d\": [397, 639, 446, 667], \"label\": \"five die\"},\n {\"box_2d\": [354, 695, 400, 722], \"label\": \"four die\"},\n {\"box_2d\": [400, 731, 459, 764], \"label\": \"five die\"},\n {\"box_2d\": [463, 742, 521, 775], \"label\": \"five die\"},\n {\"box_2d\": [514, 757, 566, 787], \"label\": \"two die\"},\n {\"box_2d\": [585, 770, 641, 802], \"label\": \"two die\"},\n {\"box_2d\": [137, 729, 191, 759], \"label\": \"one die\"},\n {\"box_2d\": [157, 792, 216, 825], \"label\": \"three die\"},\n {\"box_2d\": [450, 858, 496, 887], \"label\": \"four die\"},\n {\"box_2d\": [699, 912, 746, 941], \"label\": \"five die\"},\n {\"box_2d\": [82, 935, 130, 964], \"label\": \"two die\"},\n {\"box_2d\": [126, 918, 183, 950], \"label\": \"two die\"},\n {\"box_2d\": [126, 947, 176, 977], \"label\": \"three die\"}\n]\n```", "correct": true, "input_tokens": 1252, "output_tokens": 1757, "elapsed_seconds": 21.458932667039335, "metadata": {"match_method": "map", "num_predictions": 50, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8987517952919006, "attempts": 1, "retries": 0, "total_seconds": 21.5178}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 118, "image": "IMG_0603_jpeg.rf.ecb146a41f95c297fa9a3a9efb0e3ea5.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [461, 213, 616, 311], \"label\": \"peach jelly bean\"},\n {\"box_2d\": [339, 396, 456, 466], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [468, 520, 588, 640], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [345, 689, 447, 798], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [96, 771, 157, 823], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [101, 821, 160, 872], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [153, 856, 215, 904], \"label\": \"caramel corn jelly bean\"},\n {\"box_2d\": [121, 868, 165, 910], \"label\": \"mixed berry smoothie jelly bean\"}\n]\n```", "correct": true, "input_tokens": 1230, "output_tokens": 315, "elapsed_seconds": 49.43548700003885, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8341583609580994, "attempts": 1, "retries": 0, "total_seconds": 49.4868}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 119, "image": "lot229_JPEG_jpg.rf.ffdf35568953f3fde9f8f46749018268.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [771, 355, 790, 396], \"label\": \"chicory seed\"},\n {\"box_2d\": [769, 396, 800, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [765, 453, 803, 476], \"label\": \"chicory seed\"},\n {\"box_2d\": [749, 409, 770, 456], \"label\": \"chicory seed\"},\n {\"box_2d\": [750, 511, 790, 545], \"label\": \"chicory seed\"},\n {\"box_2d\": [740, 551, 779, 586], \"label\": \"chicory seed\"},\n {\"box_2d\": [761, 601, 786, 643], \"label\": \"chicory seed\"},\n {\"box_2d\": [740, 600, 767, 647], \"label\": \"chicory seed\"},\n {\"box_2d\": [713, 641, 756, 665], \"label\": \"chicory seed\"},\n {\"box_2d\": [702, 661, 744, 694], \"label\": \"chicory seed\"},\n {\"box_2d\": [685, 678, 720, 720], \"label\": \"chicory seed\"},\n {\"box_2d\": [665, 717, 697, 757], \"label\": \"chicory seed\"},\n {\"box_2d\": [691, 639, 715, 681], \"label\": \"chicory seed\"},\n {\"box_2d\": [705, 583, 745, 620], \"label\": \"chicory seed\"},\n {\"box_2d\": [698, 566, 738, 602], \"label\": \"chicory seed\"},\n {\"box_2d\": [683, 555, 720, 594], \"label\": \"chicory seed\"},\n {\"box_2d\": [678, 531, 716, 569], \"label\": \"chicory seed\"},\n {\"box_2d\": [731, 519, 754, 564], \"label\": \"chicory seed\"},\n {\"box_2d\": [724, 498, 764, 522], \"label\": \"chicory seed\"},\n {\"box_2d\": [725, 444, 753, 483], \"label\": \"chicory seed\"},\n {\"box_2d\": [707, 405, 747, 444], \"label\": \"chicory seed\"},\n {\"box_2d\": [686, 461, 730, 484], \"label\": \"chicory seed\"},\n {\"box_2d\": [661, 484, 703, 510], \"label\": \"chicory seed\"},\n {\"box_2d\": [654, 451, 690, 489], \"label\": \"chicory seed\"},\n {\"box_2d\": [671, 412, 711, 444], \"label\": \"chicory seed\"},\n {\"box_2d\": [673, 386, 708, 412], \"label\": \"chicory seed\"},\n {\"box_2d\": [678, 344, 705, 388], \"label\": \"chicory seed\"},\n {\"box_2d\": [684, 327, 722, 353], \"label\": \"chicory seed\"},\n {\"box_2d\": [708, 277, 747, 310], \"label\": \"chicory seed\"},\n {\"box_2d\": [632, 273, 677, 297], \"label\": \"chicory seed\"},\n {\"box_2d\": [639, 195, 675, 232], \"label\": \"chicory seed\"},\n {\"box_2d\": [598, 196, 636, 234], \"label\": \"chicory seed\"},\n {\"box_2d\": [594, 171, 631, 205], \"label\": \"chicory seed\"},\n {\"box_2d\": [553, 184, 588, 219], \"label\": \"chicory seed\"},\n {\"box_2d\": [565, 263, 606, 293], \"label\": \"chicory seed\"},\n {\"box_2d\": [602, 331, 632, 371], \"label\": \"chicory seed\"},\n {\"box_2d\": [579, 305, 605, 350], \"label\": \"chicory seed\"},\n {\"box_2d\": [578, 346, 606, 390], \"label\": \"chicory seed\"},\n {\"box_2d\": [554, 378, 586, 421], \"label\": \"chicory seed\"},\n {\"box_2d\": [567, 389, 599, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [585, 404, 624, 436], \"label\": \"chicory seed\"},\n {\"box_2d\": [629, 415, 658, 456], \"label\": \"chicory seed\"},\n {\"box_2d\": [647, 369, 678, 409], \"label\": \"chicory seed\"},\n {\"box_2d\": [650, 406, 671, 450], \"label\": \"chicory seed\"},\n {\"box_2d\": [623, 458, 661, 490], \"label\": \"chicory seed\"},\n {\"box_2d\": [607, 490, 648, 513], \"label\": \"chicory seed\"},\n {\"box_2d\": [579, 472, 623, 496], \"label\": \"chicory seed\"},\n {\"box_2d\": [573, 437, 594, 480], \"label\": \"chicory seed\"},\n {\"box_2d\": [548, 424, 573, 469], \"label\": \"chicory seed\"},\n {\"box_2d\": [525, 419, 556, 460], \"label\": \"chicory seed\"},\n {\"box_2d\": [514, 405, 543, 444], \"label\": \"chicory seed\"},\n {\"box_2d\": [518, 370, 548, 408], \"label\": \"chicory seed\"},\n {\"box_2d\": [525, 310, 560, 351], \"label\": \"chicory seed\"},\n {\"box_2d\": [510, 309, 534, 349], \"label\": \"chicory seed\"},\n {\"box_2d\": [504, 343, 546, 375], \"label\": \"chicory seed\"},\n {\"box_2d\": [482, 316, 511, 361], \"label\": \"chicory seed\"},\n {\"box_2d\": [508, 270, 533, 309], \"label\": \"chicory seed\"},\n {\"box_2d\": [522, 245, 556, 286], \"label\": \"chicory seed\"},\n {\"box_2d\": [525, 219, 565, 253], \"label\": \"chicory seed\"},\n {\"box_2d\": [484, 187, 526, 216], \"label\": \"chicory seed\"},\n {\"box_2d\": [478, 232, 509, 273], \"label\": \"chicory seed\"},\n {\"box_2d\": [461, 242, 496, 282], \"label\": \"chicory seed\"},\n {\"box_2d\": [460, 191, 480, 233], \"label\": \"chicory seed\"},\n {\"box_2d\": [425, 230, 459, 272], \"label\": \"chicory seed\"},\n {\"box_2d\": [422, 196, 461, 230], \"label\": \"chicory seed\"},\n {\"box_2d\": [404, 177, 448, 203], \"label\": \"chicory seed\"},\n {\"box_2d\": [397, 230, 434, 260], \"label\": \"chicory seed\"},\n {\"box_2d\": [394, 204, 425, 245], \"label\": \"chicory seed\"},\n {\"box_2d\": [384, 145, 417, 177], \"label\": \"chicory seed\"},\n {\"box_2d\": [375, 126, 401, 168], \"label\": \"chicory seed\"},\n {\"box_2d\": [363, 186, 405, 213], \"label\": \"chicory seed\"},\n {\"box_2d\": [315, 202, 355, 236], \"label\": \"chicory seed\"},\n {\"box_2d\": [401, 273, 443, 306], \"label\": \"chicory seed\"},\n {\"box_2d\": [404, 304, 445, 329], \"label\": \"chicory seed\"},\n {\"box_2d\": [421, 325, 461, 350], \"label\": \"chicory seed\"},\n {\"box_2d\": [399, 342, 437, 374], \"label\": \"chicory seed\"},\n {\"box_2d\": [461, 342, 483, 386], \"label\": \"chicory seed\"},\n {\"box_2d\": [443, 356, 463, 402], \"label\": \"chicory seed\"},\n {\"box_2d\": [485, 386, 525, 411], \"label\": \"chicory seed\"},\n {\"box_2d\": [465, 398, 505, 421], \"label\": \"chicory seed\"},\n {\"box_2d\": [474, 417, 516, 450], \"label\": \"chicory seed\"},\n {\"box_2d\": [466, 451, 508, 485], \"label\": \"chicory seed\"},\n {\"box_2d\": [482, 478, 524, 502], \"label\": \"chicory seed\"},\n {\"box_2d\": [473, 499, 517, 525], \"label\": \"chicory seed\"},\n {\"box_2d\": [495, 508, 536, 538], \"label\": \"chicory seed\"},\n {\"box_2d\": [529, 482, 571, 510], \"label\": \"chicory seed\"},\n {\"box_2d\": [557, 497, 599, 520], \"label\": \"chicory seed\"},\n {\"box_2d\": [540, 511, 578, 545], \"label\": \"chicory seed\"},\n {\"box_2d\": [574, 518, 596, 557], \"label\": \"chicory seed\"},\n {\"box_2d\": [592, 522, 620, 567], \"label\": \"chicory seed\"},\n {\"box_2d\": [619, 519, 642, 564], \"label\": \"chicory seed\"},\n {\"box_2d\": [654, 544, 675, 588], \"label\": \"chicory seed\"},\n {\"box_2d\": [613, 561, 655, 586], \"label\": \"chicory seed\"},\n {\"box_2d\": [599, 578, 633, 620], \"label\": \"chicory seed\"},\n {\"box_2d\": [607, 603, 648, 640], \"label\": \"chicory seed\"},\n {\"box_2d\": [618, 634, 641, 679], \"label\": \"chicory seed\"},\n {\"box_2d\": [633, 673, 656, 716], \"label\": \"chicory seed\"},\n {\"box_2d\": [614, 679, 635, 728], \"label\": \"chicory seed\"},\n {\"box_2d\": [638, 709, 661, 754], \"label\": 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[67, 809, 89, 830], \"label\": \"bullet hole\"},\n {\"box_2d\": [140, 795, 162, 816], \"label\": \"bullet hole\"},\n {\"box_2d\": [225, 848, 246, 868], \"label\": \"bullet hole\"},\n {\"box_2d\": [332, 835, 355, 857], \"label\": \"bullet hole\"},\n {\"box_2d\": [390, 829, 415, 851], \"label\": \"bullet hole\"},\n {\"box_2d\": [320, 668, 341, 692], \"label\": \"bullet hole\"},\n {\"box_2d\": [313, 561, 335, 581], \"label\": \"bullet hole\"},\n {\"box_2d\": [359, 608, 381, 630], \"label\": \"bullet hole\"},\n {\"box_2d\": [351, 276, 375, 297], \"label\": \"bullet hole\"},\n {\"box_2d\": [423, 219, 444, 242], \"label\": \"bullet hole\"},\n {\"box_2d\": [474, 157, 488, 170], \"label\": \"bullet hole\"},\n {\"box_2d\": [571, 94, 594, 114], \"label\": \"bullet hole\"},\n {\"box_2d\": [633, 35, 646, 56], \"label\": \"bullet hole\"},\n {\"box_2d\": [568, 272, 591, 294], \"label\": \"bullet hole\"},\n {\"box_2d\": [612, 249, 630, 271], \"label\": \"bullet hole\"},\n {\"box_2d\": [581, 363, 603, 386], \"label\": \"bullet hole\"},\n {\"box_2d\": [530, 463, 553, 486], \"label\": \"bullet hole\"},\n {\"box_2d\": [586, 611, 609, 632], \"label\": \"bullet hole\"},\n {\"box_2d\": [685, 606, 709, 632], \"label\": \"bullet hole\"},\n {\"box_2d\": [686, 449, 710, 475], \"label\": \"bullet hole\"},\n {\"box_2d\": [721, 356, 742, 381], \"label\": \"bullet hole\"},\n {\"box_2d\": [745, 259, 763, 284], \"label\": \"bullet hole\"},\n {\"box_2d\": [743, 173, 761, 192], \"label\": \"bullet hole\"},\n {\"box_2d\": [797, 238, 817, 256], \"label\": \"bullet hole\"},\n {\"box_2d\": [781, 343, 804, 362], \"label\": \"bullet hole\"},\n {\"box_2d\": [854, 322, 875, 340], \"label\": \"bullet hole\"},\n {\"box_2d\": [928, 170, 944, 187], \"label\": \"bullet hole\"},\n {\"box_2d\": [812, 517, 833, 539], \"label\": \"bullet hole\"},\n {\"box_2d\": [879, 456, 904, 481], \"label\": \"bullet hole\"},\n {\"box_2d\": [934, 539, 953, 560], \"label\": \"bullet hole\"},\n {\"box_2d\": [862, 609, 880, 632], \"label\": \"bullet hole\"},\n {\"box_2d\": [891, 781, 912, 801], \"label\": \"bullet hole\"},\n {\"box_2d\": [895, 887, 917, 907], \"label\": \"bullet hole\"}\n]\n```", "correct": false, "input_tokens": 1222, "output_tokens": 1540, "elapsed_seconds": 16.882513583055697, "metadata": {"match_method": "map", "num_predictions": 44, "num_ground_truth": 44, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.10431105643510818, "attempts": 1, "retries": 0, "total_seconds": 16.9149}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 121, "image": "GP010255_JPG_jpg.rf.a9c124de642391662cf0875377214d1e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [72, 531, 169, 777], \"label\": \"carrot\"},\n {\"box_2d\": [123, 514, 195, 769], \"label\": \"carrot\"},\n {\"box_2d\": [188, 594, 342, 777], \"label\": \"carrot\"},\n {\"box_2d\": [311, 645, 459, 789], \"label\": \"carrot\"},\n {\"box_2d\": [92, 344, 241, 559], \"label\": \"carrot\"},\n {\"box_2d\": [180, 380, 297, 619], \"label\": \"carrot\"},\n {\"box_2d\": [138, 281, 286, 417], \"label\": \"carrot\"},\n {\"box_2d\": [219, 323, 339, 391], \"label\": \"carrot\"},\n {\"box_2d\": [250, 345, 434, 439], \"label\": \"carrot\"},\n {\"box_2d\": [316, 306, 488, 367], \"label\": \"carrot\"},\n {\"box_2d\": [273, 427, 412, 612], \"label\": \"carrot\"},\n {\"box_2d\": [436, 333, 480, 514], \"label\": \"carrot\"},\n {\"box_2d\": [461, 381, 617, 470], \"label\": \"carrot\"},\n {\"box_2d\": [498, 370, 703, 461], \"label\": \"carrot\"},\n {\"box_2d\": [447, 278, 705, 342], \"label\": \"carrot\"},\n {\"box_2d\": [383, 519, 633, 570], \"label\": \"carrot\"},\n {\"box_2d\": [517, 469, 719, 517], \"label\": \"carrot\"},\n {\"box_2d\": [573, 494, 756, 586], \"label\": \"carrot\"},\n {\"box_2d\": [492, 558, 725, 631], \"label\": \"carrot\"},\n {\"box_2d\": [464, 628, 670, 688], \"label\": \"carrot\"},\n {\"box_2d\": [466, 684, 689, 761], \"label\": \"carrot\"},\n {\"box_2d\": [666, 633, 811, 789], \"label\": \"carrot\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 758, "elapsed_seconds": 13.839838500018232, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 13.8675}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 122, "image": "20210325_203749_jpg.rf.1705fa1e1420cef9584e0f51c930586c.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [200, 136, 405, 348], \"label\": \"50 euro cent coin\"},\n {\"box_2d\": [134, 425, 327, 620], \"label\": \"1 euro coin\"},\n {\"box_2d\": [158, 683, 322, 850], \"label\": \"10 euro cent coin\"},\n {\"box_2d\": [367, 481, 505, 620], \"label\": \"1 euro cent coin\"},\n {\"box_2d\": [439, 228, 602, 394], \"label\": \"2 euro cent coin\"},\n {\"box_2d\": [384, 750, 562, 933], \"label\": \"5 euro cent coin\"},\n {\"box_2d\": [612, 419, 805, 609], \"label\": \"20 euro cent coin\"},\n {\"box_2d\": [611, 634, 833, 856], \"label\": \"2 euro coin\"}\n]\n```", "correct": true, "input_tokens": 1272, "output_tokens": 309, "elapsed_seconds": 5.684484582976438, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 5.7025}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 123, "image": "53_jpeg_jpg.rf.827706d6e6ec3d14c5952c8d4c752e99.jpg", "expected": "", "predicted": "```json\n[{\"box_2d\": [718, 888, 800, 969], \"label\": \"potato\"}, {\"box_2d\": [91, 378, 203, 490], \"label\": \"potato\"}, {\"box_2d\": [314, 847, 426, 951], \"label\": \"potato\"}, {\"box_2d\": [720, 625, 818, 716], \"label\": \"potato\"}, {\"box_2d\": [712, 66, 795, 194], \"label\": \"potato\"}, {\"box_2d\": [714, 415, 858, 499], \"label\": \"potato\"}, {\"box_2d\": [519, 699, 621, 800], \"label\": \"potato\"}, {\"box_2d\": [515, 844, 621, 947], \"label\": \"potato\"}, {\"box_2d\": [922, 675, 1000, 769], \"label\": \"potato\"}, {\"box_2d\": [920, 12, 1000, 107], \"label\": \"potato\"}, {\"box_2d\": [924, 436, 1000, 526], \"label\": \"potato\"}, {\"box_2d\": [489, 574, 617, 688], \"label\": \"potato\"}]```", "correct": true, "input_tokens": 1240, "output_tokens": 392, "elapsed_seconds": 20.172664750018157, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 13, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9207921028137207, "attempts": 1, "retries": 0, "total_seconds": 20.2147}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 124, "image": "car-part-detection_Car-damages-1749_png_jpg.rf.841bd72a48ea0726dc55d3cf93207af1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [562, 61, 718, 120], \"label\": \"back bumper\"},\n {\"box_2d\": [556, 899, 712, 987], \"label\": \"front bumper\"},\n {\"box_2d\": [400, 725, 480, 927], \"label\": \"hood\"},\n {\"box_2d\": [278, 194, 718, 467], \"label\": \"back door\"},\n {\"box_2d\": [289, 200, 444, 429], \"label\": \"back window\"},\n {\"box_2d\": [286, 445, 461, 681], \"label\": \"front window\"},\n {\"box_2d\": [278, 444, 718, 742], \"label\": \"front door\"},\n {\"box_2d\": [402, 675, 469, 715], \"label\": \"mirror\"},\n {\"box_2d\": [432, 74, 549, 129], \"label\": \"tail light\"},\n {\"box_2d\": [324, 956, 354, 981], \"label\": \"mirror\"},\n {\"box_2d\": [310, 767, 326, 789], \"label\": \"mirror\"},\n {\"box_2d\": [278, 823, 339, 954], \"label\": \"windshield\"},\n {\"box_2d\": [272, 671, 322, 769], \"label\": \"windshield\"},\n {\"box_2d\": [356, 855, 396, 919], \"label\": \"headlight\"},\n {\"box_2d\": [352, 770, 389, 787], \"label\": \"headlight\"},\n {\"box_2d\": [280, 952, 349, 988], \"label\": \"front window\"},\n {\"box_2d\": [278, 987, 333, 999], \"label\": \"back window\"},\n {\"box_2d\": [284, 943, 434, 998], \"label\": \"front door\"},\n {\"box_2d\": [347, 764, 438, 902], \"label\": \"front bumper\"},\n {\"box_2d\": [333, 789, 377, 926], \"label\": \"hood\"},\n {\"box_2d\": [320, 646, 360, 745], \"label\": \"hood\"},\n {\"box_2d\": [345, 683, 375, 723], \"label\": \"headlight\"},\n {\"box_2d\": [274, 761, 326, 805], \"label\": \"front window\"},\n {\"box_2d\": [274, 804, 316, 839], \"label\": \"back window\"},\n {\"box_2d\": [274, 756, 398, 811], \"label\": \"front door\"},\n {\"box_2d\": [274, 805, 343, 843], \"label\": \"back door\"},\n {\"box_2d\": [301, 2, 339, 44], \"label\": \"front window\"},\n {\"box_2d\": [301, 2, 398, 63], \"label\": \"front door\"},\n {\"box_2d\": [328, 39, 349, 55], \"label\": \"mirror\"},\n {\"box_2d\": [291, 90, 427, 173], \"label\": \"back windshield\"},\n {\"box_2d\": [291, 579, 444, 757], \"label\": \"windshield\"}\n]\n```", "correct": false, "input_tokens": 1246, "output_tokens": 1079, "elapsed_seconds": 12.575797082972713, "metadata": {"match_method": "map", "num_predictions": 31, "num_ground_truth": 13, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7365235686302185, "attempts": 1, "retries": 0, "total_seconds": 12.606}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 125, "image": "1704196661687_jpg.rf.15374227e4fbd79145880dc340991d51.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [77, 452, 173, 520], \"label\": \"bean grain\"},\n {\"box_2d\": [111, 586, 197, 675], \"label\": \"bean grain\"},\n {\"box_2d\": [191, 816, 270, 909], \"label\": \"bean grain\"},\n {\"box_2d\": [219, 536, 297, 642], \"label\": \"bean grain\"},\n {\"box_2d\": [189, 303, 297, 378], \"label\": \"bean grain\"},\n {\"box_2d\": [200, 142, 286, 211], \"label\": \"bean grain\"},\n {\"box_2d\": [373, 134, 445, 241], \"label\": \"bean grain\"},\n {\"box_2d\": [456, 381, 538, 480], \"label\": \"bean grain\"},\n {\"box_2d\": [389, 717, 494, 795], \"label\": \"bean grain\"},\n {\"box_2d\": [548, 562, 623, 666], \"label\": \"bean grain\"},\n {\"box_2d\": [611, 159, 691, 267], \"label\": \"bean grain\"},\n {\"box_2d\": [647, 403, 714, 502], \"label\": \"bean grain\"},\n {\"box_2d\": [803, 344, 889, 439], \"label\": \"bean grain\"},\n {\"box_2d\": [755, 558, 842, 650], \"label\": \"bean grain\"},\n {\"box_2d\": [639, 764, 700, 862], \"label\": \"bean grain\"},\n {\"box_2d\": [539, 859, 609, 962], \"label\": \"bean grain\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 571, "elapsed_seconds": 8.584097000071779, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 8.6034}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 126, "image": "fall-detection_13_mp4-274_jpg.rf.81d37af519564fd17e00cbdde20bedcf.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [384, 520, 444, 627], \"label\": \"fallen person\"},\n {\"box_2d\": [425, 588, 472, 725], \"label\": \"fallen person\"},\n {\"box_2d\": [389, 470, 434, 558], \"label\": \"fallen person\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 117, "elapsed_seconds": 4.178027499932796, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 4.1944}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 127, "image": "tile_672_jpg.rf.563bc07bfb63272303ba7c8beec3dfd0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [219, 714, 260, 738], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [332, 830, 355, 849], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [434, 682, 472, 704], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [471, 829, 520, 862], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [602, 690, 628, 705], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [691, 828, 734, 858], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [875, 848, 926, 875], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [610, 425, 628, 449], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [512, 365, 538, 390], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [375, 329, 396, 366], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [25, 441, 80, 471], \"label\": \"ship in SAR satellite image\"}\n]\n```", "correct": true, "input_tokens": 1229, "output_tokens": 428, "elapsed_seconds": 6.645542332902551, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9108911156654358, "attempts": 1, "retries": 0, "total_seconds": 6.6911}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 128, "image": "Screenshot-2024-05-16-150353_png.rf.28f931ef1556f4fbfc5b8964a85b5e08.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [77, 984, 108, 1000], \"label\": \"bullet hole\"},\n {\"box_2d\": [397, 986, 429, 1000], \"label\": \"bullet hole\"},\n {\"box_2d\": [123, 895, 155, 927], \"label\": \"bullet hole\"},\n {\"box_2d\": [110, 764, 144, 795], \"label\": \"bullet hole\"},\n {\"box_2d\": [338, 765, 369, 795], \"label\": \"bullet hole\"},\n {\"box_2d\": [549, 798, 579, 829], \"label\": \"bullet hole\"},\n {\"box_2d\": [795, 760, 826, 789], \"label\": \"bullet hole\"},\n {\"box_2d\": [735, 646, 766, 677], \"label\": \"bullet hole\"},\n {\"box_2d\": [588, 675, 621, 704], \"label\": \"bullet hole\"},\n {\"box_2d\": [430, 622, 462, 654], \"label\": \"bullet hole\"},\n {\"box_2d\": [82, 598, 113, 629], \"label\": \"bullet hole\"},\n {\"box_2d\": [30, 415, 60, 446], \"label\": \"bullet hole\"},\n {\"box_2d\": [70, 336, 102, 366], \"label\": \"bullet hole\"},\n {\"box_2d\": [180, 467, 211, 498], \"label\": \"bullet hole\"},\n {\"box_2d\": [196, 376, 226, 405], \"label\": \"bullet hole\"},\n {\"box_2d\": [252, 285, 284, 316], \"label\": \"bullet hole\"},\n {\"box_2d\": [326, 224, 357, 255], \"label\": \"bullet hole\"},\n {\"box_2d\": [388, 255, 421, 286], \"label\": \"bullet hole\"},\n {\"box_2d\": [459, 302, 491, 333], \"label\": \"bullet hole\"},\n {\"box_2d\": [511, 58, 541, 90], \"label\": \"bullet hole\"},\n {\"box_2d\": [433, 83, 464, 114], \"label\": \"bullet hole\"},\n {\"box_2d\": [375, 1, 408, 34], \"label\": \"bullet hole\"},\n {\"box_2d\": [300, 68, 335, 101], \"label\": \"bullet hole\"},\n {\"box_2d\": [205, 13, 237, 42], \"label\": \"bullet hole\"},\n {\"box_2d\": [204, 160, 237, 193], \"label\": \"bullet hole\"},\n {\"box_2d\": [108, 80, 140, 112], \"label\": \"bullet hole\"},\n {\"box_2d\": [65, 155, 95, 181], \"label\": \"bullet hole\"},\n {\"box_2d\": [23, 38, 52, 66], \"label\": \"bullet hole\"},\n {\"box_2d\": [711, 316, 738, 345], \"label\": \"bullet hole\"},\n {\"box_2d\": [809, 321, 839, 351], \"label\": \"bullet hole\"},\n {\"box_2d\": [712, 151, 745, 182], \"label\": \"bullet hole\"},\n {\"box_2d\": [812, 109, 844, 138], \"label\": \"bullet hole\"},\n {\"box_2d\": [826, 183, 858, 212], \"label\": \"bullet hole\"},\n {\"box_2d\": [918, 176, 947, 205], \"label\": \"bullet hole\"}\n]\n```", "correct": false, "input_tokens": 1222, "output_tokens": 1183, "elapsed_seconds": 11.853168833069503, "metadata": {"match_method": "map", "num_predictions": 34, "num_ground_truth": 34, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3166424632072449, "attempts": 1, "retries": 0, "total_seconds": 11.8705}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 129, "image": "9999942_00000_d_0000179_jpg.rf.00eabf74c1cd10c40aa228a466f9fe04.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [721, 256, 745, 273], \"label\": \"person\"},\n {\"box_2d\": [652, 111, 709, 177], \"label\": \"car\"},\n {\"box_2d\": [612, 129, 665, 200], \"label\": \"car\"},\n {\"box_2d\": [466, 346, 505, 399], \"label\": \"car\"},\n {\"box_2d\": [434, 355, 470, 409], \"label\": \"car\"},\n {\"box_2d\": [375, 372, 408, 421], \"label\": \"car\"},\n {\"box_2d\": [298, 378, 329, 424], \"label\": \"car\"},\n {\"box_2d\": [299, 276, 329, 325], \"label\": \"car\"},\n {\"box_2d\": [334, 249, 370, 299], \"label\": \"van\"},\n {\"box_2d\": [329, 187, 381, 222], \"label\": \"car\"},\n {\"box_2d\": [336, 137, 390, 170], \"label\": \"van\"},\n {\"box_2d\": [363, 56, 417, 100], \"label\": \"car\"},\n {\"box_2d\": [358, 16, 413, 59], \"label\": \"car\"},\n {\"box_2d\": [341, 0, 393, 22], \"label\": \"car\"},\n {\"box_2d\": [306, 681, 342, 718], \"label\": \"car\"},\n {\"box_2d\": [250, 811, 270, 821], \"label\": \"person\"},\n {\"box_2d\": [174, 833, 274, 876], \"label\": \"bus\"},\n {\"box_2d\": [328, 969, 369, 996], \"label\": \"car\"},\n {\"box_2d\": [41, 761, 100, 785], \"label\": \"bus\"},\n {\"box_2d\": [54, 881, 71, 886], \"label\": \"person\"},\n {\"box_2d\": [49, 912, 68, 926], \"label\": \"car\"},\n {\"box_2d\": [75, 936, 132, 967], \"label\": \"truck\"},\n {\"box_2d\": [112, 976, 148, 1000], \"label\": \"van\"},\n {\"box_2d\": [80, 395, 103, 422], \"label\": \"car\"}\n]\n```", "correct": false, "input_tokens": 1217, "output_tokens": 816, "elapsed_seconds": 15.215435374993831, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 36, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.42560920119285583, "attempts": 1, "retries": 0, "total_seconds": 15.3208}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 130, "image": "125_jpg.rf.c69f3d1b75a33297315d1889af6311e9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [504, 150, 629, 187], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [346, 267, 396, 305], \"label\": \"resistor symbol\"},\n {\"box_2d\": [529, 372, 686, 395], \"label\": \"resistor symbol\"},\n {\"box_2d\": [346, 463, 389, 507], \"label\": \"resistor symbol\"},\n {\"box_2d\": [139, 736, 250, 783], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [357, 720, 404, 774], \"label\": \"resistor symbol\"},\n {\"box_2d\": [554, 635, 725, 656], \"label\": \"resistor symbol\"},\n {\"box_2d\": [525, 841, 639, 861], \"label\": \"resistor symbol\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 302, "elapsed_seconds": 4.7876434590434656, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 4.7964}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 131, "image": "IMG_20250815_164311_jpg.rf.83efd32a603d001fd15e3979d744bb04.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [553, 185, 616, 260], \"label\": \"barcode\"},\n {\"box_2d\": [627, 695, 697, 770], \"label\": \"barcode\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 80, "elapsed_seconds": 54.94798058294691, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 55.4395}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 132, "image": "Container-259_jpg.rf.0707fcc208504e8c70d360815ec87ed2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [238, 580, 294, 728], \"label\": \"shipping container number\"},\n {\"box_2d\": [289, 580, 320, 636], \"label\": \"container ISO type code\"}\n]\n```", "correct": true, "input_tokens": 1232, "output_tokens": 85, "elapsed_seconds": 4.9351333329686895, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 4.952}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 133, "image": "1704195139360_jpg.rf.325f2c91dbc2bf8869d0a95b29652b2f.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [748, 742, 792, 794], \"label\": \"lentil grain\"},\n {\"box_2d\": [532, 860, 574, 908], \"label\": \"lentil grain\"},\n {\"box_2d\": [797, 434, 834, 480], \"label\": \"lentil grain\"},\n {\"box_2d\": [614, 613, 653, 660], \"label\": \"lentil grain\"},\n {\"box_2d\": [630, 533, 672, 578], \"label\": \"lentil grain\"},\n {\"box_2d\": [554, 431, 591, 475], \"label\": \"lentil grain\"},\n {\"box_2d\": [412, 252, 453, 297], \"label\": \"lentil grain\"},\n {\"box_2d\": [206, 435, 249, 483], \"label\": \"lentil grain\"},\n {\"box_2d\": [336, 563, 372, 606], \"label\": \"lentil grain\"},\n {\"box_2d\": [471, 614, 509, 653], \"label\": \"lentil grain\"},\n {\"box_2d\": [308, 750, 347, 791], \"label\": \"lentil grain\"},\n {\"box_2d\": [303, 822, 339, 867], \"label\": \"lentil grain\"},\n {\"box_2d\": [118, 735, 160, 783], \"label\": \"lentil grain\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 480, "elapsed_seconds": 6.457359749940224, "metadata": {"match_method": "map", "num_predictions": 13, "num_ground_truth": 13, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 6.473}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 134, "image": "IMG_20250815_165037_jpg.rf.d4afcf541c2eaa2a500b0fc3e74f380a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [760, 823,,, 797, 859], \"label\": \"barcode\"},\n {\"box_2d\": [804, 665,,, 890, 706], \"label\": \"barcode\"},\n {\"box_2d\": [811, 430,,,, 474, 898], \"label\": \"barcode\"},\n {\"box_2d\": [797, 220,,, 888, 268], \"label\": \"barcode\"},\n {\"box_2d\": [123, 265,,,, 311], \"label\": \"barcode\"},\n {\"box_2d\": [303, 427,,,, 341, 471], \"label\": \"barcode\"},\n {\"box_2d\": [274, 566,,,, 309, 608], \"label\": \"barcode\"},\n {\"box_2d\": [280, 843,,,, 359, 881], \"label\": \"barcode\"}\n]\n```", "correct": false, "input_tokens": 1214, "output_tokens": 300, "elapsed_seconds": 24.020860792021267, "metadata": {"match_method": "map", "num_predictions": 0, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 24.431}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 135, "image": "frame_0213_jpg.rf.a492e6ad2bcd535fad151a853f122d53.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [77, 127, 138, 165], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [88, 253, 145, 290], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [171, 232, 232, 272], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [165, 349, 227, 384], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [48, 412, 108, 451], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [108, 554, 167, 586], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [65, 620, 117, 651], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [211, 548, 269, 581], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [283, 546, 339, 579], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [272, 444, 333, 476], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [191, 456, 241, 488], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [420, 466, 482, 502], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [419, 548, 482, 582], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [427, 234, 495, 273], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [633, 241, 703, 282], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [535, 366, 610, 405], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [623, 363, 696, 404], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [736, 349, 822, 394], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [710, 452, 788, 495], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [832, 469, 912, 511], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [678, 556, 745, 611], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [556, 562, 626, 604], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [545, 670, 608, 708], \"label\": \"garlic on conveyor\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 836, "elapsed_seconds": 16.703382374951616, "metadata": {"match_method": "map", "num_predictions": 23, "num_ground_truth": 23, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 16.8365}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 136, "image": "1668147836__jpg.rf.c1a720811dddd913a56ced8dd87e3a53.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [53, 362, 108, 387], \"label\": \"three die\"},\n {\"box_2d\": [46, 715, 106, 744], \"label\": \"six die\"},\n {\"box_2d\": [213, 742, 273, 773], \"label\": \"three die\"},\n {\"box_2d\": [339, 730, 405, 767], \"label\": \"three die\"},\n {\"box_2d\": [373, 657, 424, 685], \"label\": \"one die\"},\n {\"box_2d\": [259, 565, 323, 598], \"label\": \"five die\"},\n {\"box_2d\": [315, 526, 377, 560], \"label\": \"five die\"},\n {\"box_2d\": [343, 565, 398, 591], \"label\": \"three die\"},\n {\"box_2d\": [398, 569, 459, 601], \"label\": \"one die\"},\n {\"box_2d\": [468, 568, 523, 596], \"label\": \"three die\"},\n {\"box_2d\": [339, 480, 394, 509], \"label\": \"six die\"},\n {\"box_2d\": [232, 410, 287, 437], \"label\": \"one die\"},\n {\"box_2d\": [273, 284, 328, 311], \"label\": \"four die\"},\n {\"box_2d\": [244, 179, 300, 208], \"label\": \"one die\"},\n {\"box_2d\": [243, 142, 309, 177], \"label\": \"two die\"},\n {\"box_2d\": [495, 148, 553, 181], \"label\": \"five die\"},\n {\"box_2d\": [618, 139, 680, 174], \"label\": \"five die\"},\n {\"box_2d\": [647, 190, 706, 223], \"label\": \"six die\"},\n {\"box_2d\": [757, 183, 820, 219], \"label\": \"five die\"},\n {\"box_2d\": [725, 211, 787, 245], \"label\": \"five die\"},\n {\"box_2d\": [733, 243, 787, 274], \"label\": \"four die\"},\n {\"box_2d\": [810, 240, 871, 274], \"label\": \"six die\"},\n {\"box_2d\": [757, 270, 811, 301], \"label\": \"four die\"},\n {\"box_2d\": [711, 277, 761, 305], \"label\": \"six die\"},\n {\"box_2d\": [661, 274, 715, 306], \"label\": \"four die\"},\n {\"box_2d\": [566, 283, 626, 316], \"label\": \"five die\"},\n {\"box_2d\": [524, 274, 581, 303], \"label\": \"four die\"},\n {\"box_2d\": [461, 315, 524, 349], \"label\": \"four die\"},\n {\"box_2d\": [403, 351, 454, 377], \"label\": \"four die\"},\n {\"box_2d\": [427, 380, 486, 411], \"label\": \"four die\"},\n {\"box_2d\": [581, 350, 637, 378], \"label\": \"four die\"},\n {\"box_2d\": [532, 458, 595, 492], \"label\": \"six die\"},\n {\"box_2d\": [633, 436, 697, 471], \"label\": \"five die\"},\n {\"box_2d\": [733, 463, 792, 494], \"label\": \"four die\"},\n {\"box_2d\": [785, 300, 840, 330], \"label\": \"four die\"},\n {\"box_2d\": [895, 405, 956, 438], \"label\": \"one die\"},\n {\"box_2d\": [696, 509, 750, 538], \"label\": \"six die\"},\n {\"box_2d\": [604, 568, 658, 597], \"label\": \"five die\"},\n {\"box_2d\": [537, 628, 591, 656], \"label\": \"four die\"},\n {\"box_2d\": [643, 760, 694, 789], \"label\": \"six die\"},\n {\"box_2d\": [749, 717, 812, 752], \"label\": \"three die\"},\n {\"box_2d\": [755, 792, 814, 825], \"label\": \"six die\"},\n {\"box_2d\": [723, 824, 780, 857], \"label\": \"four die\"},\n {\"box_2d\": [799, 824, 853, 854], \"label\": \"two die\"},\n {\"box_2d\": [912, 777, 961, 805], \"label\": \"two die\"},\n {\"box_2d\": [805, 908, 860, 942], \"label\": \"two die\"},\n {\"box_2d\": [558, 902, 622, 937], \"label\": \"one die\"},\n {\"box_2d\": [546, 847, 608, 882], \"label\": \"one die\"},\n {\"box_2d\": [433, 826, 496, 860], \"label\": \"three die\"},\n {\"box_2d\": [428, 798, 485, 829], \"label\": \"six die\"}\n]\n```", "correct": false, "input_tokens": 1252, "output_tokens": 1760, "elapsed_seconds": 19.497482209000736, "metadata": {"match_method": "map", "num_predictions": 50, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5562438368797302, "attempts": 1, "retries": 0, "total_seconds": 19.5597}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 137, "image": "Lego_170_high_jpeg.rf.173b945a080a292465fe84cab83086af.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [117, 736, 173, 830], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [119, 878, 161, 972], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [176, 813, 267, 916], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [227, 498, 329, 599], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [261, 577, 344, 652], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [336, 753, 410, 836], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [408, 770, 487, 832], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [485, 710, 581, 767], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [538, 757, 639, 825], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [587, 929, 666, 991], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [669, 782, 766, 832], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [670, 825, 740, 905], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [700, 898, 785, 960], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [736, 828, 810, 891], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [804, 815, 882, 897], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [851, 797, 929, 879], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [710, 700, 796, 778], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [116, 95, 216, 207], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [196, 86, 282, 185], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [196, 152, 269, 255], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [252, 156, 314, 265], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [365, 36, 444, 139], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [393, 102, 478, 200], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [85, 238, 152, 344], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [150, 307, 206, 393], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [332, 296, 377, 400], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [396, 378, 492, 427], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [380, 427, 451, 526], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [472, 391, 555, 481], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [473, 466, 566, 546], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [520, 257, 591, 363], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [546, 347, 625, 458], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [589, 321, 667, 431], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [617, 417, 688, 502], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [635, 103, 696, 195], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [647, 219, 744, 292], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [651, 255, 725, 345], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [696, 281, 764, 384], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [716, 424, 801, 500], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [698, 474, 756, 578], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [751, 497, 847, 567], \"label\": \"lego 4x2 brick\"}\n]\n```", "correct": true, "input_tokens": 1244, "output_tokens": 1607, "elapsed_seconds": 18.78834458300844, "metadata": {"match_method": "map", "num_predictions": 41, "num_ground_truth": 42, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9430143237113953, "attempts": 1, "retries": 0, "total_seconds": 18.8855}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 138, "image": "DJI_0290_JPG_jpg.rf.052c45a410708d5965bfee1fe9dd1918.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [489, 371, 589, 480], \"label\": \"excavator\"},\n {\"box_2d\": [288, 417, 362, 487], \"label\": \"concrete mixer\"},\n {\"box_2d\": [321, 198, 370, 245], \"label\": \"excavator\"},\n {\"box_2d\": [447, 835, 528, 932], \"label\": \"dump truck\"},\n {\"box_2d\": [200, 303, 247, 346], \"label\": \"dump truck\"},\n {\"box_2d\": [133, 220, 175, 253], \"label\": \"concrete mixer\"},\n {\"box_2d\": [59, 0, 1000, 152], \"label\": \"tower crane\"}\n]\n```", "correct": true, "input_tokens": 1209, "output_tokens": 257, "elapsed_seconds": 98.42723899998236, "metadata": {"match_method": "map", "num_predictions": 7, "num_ground_truth": 6, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.875, "attempts": 1, "retries": 0, "total_seconds": 99.6602}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 139, "image": "oil-tank-detection_oiltank_165_jpg.rf.7a5e38aa38fc11f1234038d454ec044d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [584, 15, 709, 120], \"label\": \"oil tank\"},\n {\"box_2d\": [721, 14, 853, 122], \"label\": \"oil tank\"},\n {\"box_2d\": [718, 128, 847, 237], \"label\": \"oil tank\"},\n {\"box_2d\": [579, 130, 705, 236], \"label\": \"oil tank\"},\n {\"box_2d\": [575, 245, 700, 353], \"label\": \"oil tank\"},\n {\"box_2d\": [713, 246, 845, 354], \"label\": \"oil tank\"},\n {\"box_2d\": [556, 360, 700, 480], \"label\": \"oil tank\"},\n {\"box_2d\": [710, 363, 860, 485], \"label\": \"oil tank\"},\n {\"box_2d\": [553, 487, 695, 608], \"label\": \"oil tank\"},\n {\"box_2d\": [708, 491, 857, 613], \"label\": \"oil tank\"},\n {\"box_2d\": [548, 614, 691, 736], \"label\": \"oil tank\"},\n {\"box_2d\": [702, 620, 851, 743], \"label\": \"oil tank\"},\n {\"box_2d\": [700, 750, 847, 871], \"label\": \"oil tank\"},\n {\"box_2d\": [544, 744, 686, 865], \"label\": \"oil tank\"}\n]\n```", "correct": true, "input_tokens": 1217, "output_tokens": 500, "elapsed_seconds": 18.388426209101453, "metadata": {"match_method": "map", "num_predictions": 14, "num_ground_truth": 14, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 18.464}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 140, "image": "img268_png.rf.77932c9124f7e63f288e2be4179d983b.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [77, 250, 117, 297], \"label\": \"not gate symbol\"},\n {\"box_2d\": [153, 409, 193, 456], \"label\": \"not gate symbol\"},\n {\"box_2d\": [276, 409, 316, 456], \"label\": \"not gate symbol\"},\n {\"box_2d\": [472, 567, 512, 616], \"label\": \"not gate symbol\"},\n {\"box_2d\": [546, 251, 586, 299], \"label\": \"not gate symbol\"},\n {\"box_2d\": [619, 251, 659, 299], \"label\": \"not gate symbol\"},\n {\"box_2d\": [718, 409, 757, 457], \"label\": \"not gate symbol\"},\n {\"box_2d\": [841, 409, 881, 457], \"label\": \"not gate symbol\"},\n {\"box_2d\": [32, 388, 113, 457], \"label\": \"and gate symbol\"},\n {\"box_2d\": [81, 545, 162, 616], \"label\": \"and gate symbol\"},\n {\"box_2d\": [228, 546, 309, 616], \"label\": \"and gate symbol\"},\n {\"box_2d\": [351, 545, 431, 615], \"label\": \"and gate symbol\"},\n {\"box_2d\": [400, 704, 481, 775], \"label\": \"and gate symbol\"},\n {\"box_2d\": [549, 387, 630, 458], \"label\": \"and gate symbol\"},\n {\"box_2d\": [598, 545, 680, 616], \"label\": \"and gate symbol\"},\n {\"box_2d\": [721, 545, 803, 616], \"label\": \"and gate symbol\"},\n {\"box_2d\": [845, 545, 926, 616], \"label\": \"and gate symbol\"},\n {\"box_2d\": [870, 704, 952, 775], \"label\": \"and gate symbol\"},\n {\"box_2d\": [155, 702, 236, 774], \"label\": \"or gate symbol\"},\n {\"box_2d\": [278, 860, 359, 931], \"label\": \"or gate symbol\"},\n {\"box_2d\": [647, 702, 728, 774], \"label\": \"or gate symbol\"},\n {\"box_2d\": [746, 860, 827, 932], \"label\": \"or gate symbol\"}\n]\n```", "correct": true, "input_tokens": 1231, "output_tokens": 801, "elapsed_seconds": 11.625767582911067, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 11.6417}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 141, "image": "170211-2-h_JPG_jpg.rf.4b0d2b71f289bdb00cd0502c7a7a2a5d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [248, 464, 926, 567], \"label\": \"insulator flashover\"}\n]\n```", "correct": false, "input_tokens": 1218, "output_tokens": 49, "elapsed_seconds": 90.3961472089868, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 91.0852}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 142, "image": "floorplan-windows-doors_10361_png.rf.0282a156e3e18e32c9b31eca83a8df92.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [729, 591, 792, 657], \"label\": \"door\"},\n {\"box_2d\": [613, 476, 668, 539], \"label\": \"door\"},\n {\"box_2d\": [548, 475, 603, 539], \"label\": \"door\"},\n {\"box_2d\": [482, 591, 536, 654], \"label\": \"door\"},\n {\"box_2d\": [357, 703, 412, 766], \"label\": \"door\"},\n {\"box_2d\": [548, 721, 603, 784], \"label\": \"door\"},\n {\"box_2d\": [288, 773, 344, 825], \"label\": \"door\"},\n {\"box_2d\": [154, 773, 207, 821], \"label\": \"door\"},\n {\"box_2d\": [92, 121, 152, 198], \"label\": \"door\"},\n {\"box_2d\": [868, 590, 941, 656], \"label\": \"door\"},\n {\"box_2d\": [189, 174, 286, 199], \"label\": \"window\"},\n {\"box_2d\": [313, 173, 410, 199], \"label\": \"window\"},\n {\"box_2d\": [433, 174, 535, 199], \"label\": \"window\"},\n {\"box_2d\": [637, 173, 735, 199], \"label\": \"window\"},\n {\"box_2d\": [867, 290, 889, 396], \"label\": \"window\"},\n {\"box_2d\": [867, 778, 891, 884], \"label\": \"window\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 555, "elapsed_seconds": 19.422076290939003, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 19.514}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 143, "image": "IMG_0588_jpeg.rf.ff3a785b0ac1ba5a56ab8eed6ca615a1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [35, 574, 93, 646], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [377, 483, 475, 532], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [248, 550, 313, 628], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [240, 743, 315, 818], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [440, 630, 513, 703], \"label\": \"caramel corn jelly bean\"},\n {\"box_2d\": [620, 554, 716, 601], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [631, 735, 735, 783], \"label\": \"mixed berry smoothie jelly bean\"}\n]\n```", "correct": true, "input_tokens": 1219, "output_tokens": 274, "elapsed_seconds": 29.385058208950795, "metadata": {"match_method": "map", "num_predictions": 7, "num_ground_truth": 7, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 29.4329}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 144, "image": "signatures_image_100_png_jpg.rf.1b732e075f2453b4400e76d3923fe526.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [322, 72, 396, 434], \"label\": \"signature\"},\n {\"box_2d\": [345, 526, 390, 891], \"label\": \"signature\"},\n {\"box_2d\": [464, 128, 543, 449], \"label\": \"signature\"},\n {\"box_2d\": [450, 555, 517, 821], \"label\": \"signature\"},\n {\"box_2d\": [586, 108, 639, 427], \"label\": \"signature\"}\n]\n```", "correct": true, "input_tokens": 1200, "output_tokens": 181, "elapsed_seconds": 6.916784542030655, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 6.9295}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 145, "image": "paper-parts_8548_70_jpg.rf.61a39e9181e5ebef57cae728c932b730.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [97, 200, 396, 825], \"label\": \"figure\"},\n {\"box_2d\": [397, 118, 430, 882], \"label\": \"figure caption\"},\n {\"box_2d\": [482, 118, 512, 882], \"label\": \"table caption\"},\n {\"box_2d\": [529, 107, 583, 892], \"label\": \"table\"},\n {\"box_2d\": [633, 118, 654, 312], \"label\": \"subsection\"},\n {\"box_2d\": [674, 118, 723, 882], \"label\": \"paragraph\"},\n {\"box_2d\": [740, 305, 761, 882], \"label\": \"equation\"},\n {\"box_2d\": [779, 118, 881, 882], \"label\": \"paragraph\"},\n {\"box_2d\": [901, 490, 913, 509], \"label\": \"page number\"}\n]\n```", "correct": true, "input_tokens": 1255, "output_tokens": 320, "elapsed_seconds": 6.438441791920923, "metadata": {"match_method": "map", "num_predictions": 9, "num_ground_truth": 9, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8749998807907104, "attempts": 1, "retries": 0, "total_seconds": 6.4962}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 146, "image": "19_jpeg_jpg.rf.34c89435b5ff9122cacb0cab18a49f99.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [32, 18, 127, 105], \"label\": \"potato\"},\n {\"box_2d\": [8, 331, 95, 429], \"label\": \"potato\"},\n {\"box_2d\": [21, 782, 131, 895], \"label\": \"potato\"},\n {\"box_2d\": [218, 790, 322, 902], \"label\": \"potato\"},\n {\"box_2d\": [195, 548, 307, 666], \"label\": \"potato\"},\n {\"box_2d\": [188, 396, 294, 478], \"label\": \"potato\"},\n {\"box_2d\": [182, 277, 295, 356], \"label\": \"potato\"},\n {\"box_2d\": [222, 0, 314, 83], \"label\": \"potato\"},\n {\"box_2d\": [400, 64, 500, 152], \"label\": \"potato\"},\n {\"box_2d\": [402, 327, 506, 414], \"label\": \"potato\"},\n {\"box_2d\": [396, 488, 513, 568], \"label\": \"potato\"},\n {\"box_2d\": [396, 709, 527, 794], \"label\": \"potato\"},\n {\"box_2d\": [610, 779, 712, 865], \"label\": \"potato\"},\n {\"box_2d\": [602, 57, 710, 177], \"label\": \"potato\"},\n {\"box_2d\": [790, 34, 900, 143], \"label\": \"potato\"},\n {\"box_2d\": [828, 486, 932, 581], \"label\": \"potato\"},\n {\"box_2d\": [845, 934, 953, 999], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1240, "output_tokens": 578, "elapsed_seconds": 7.132003334001638, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 18, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9405940771102905, "attempts": 1, "retries": 0, "total_seconds": 7.1728}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 147, "image": "f12_jpg.rf.fa104f4d104f326761c5485949eec7bb.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [718, 93, 932, 419], \"label\": \"wildfire\"},\n {\"box_2d\": [0, 57, 610, 381], \"label\": \"wildfire\"},\n {\"box_2d\": [0, 597, 558, 830], \"label\": \"wildfire\"},\n {\"box_2d\": [489, 89, 931, 419], \"label\": \"wildfire\"},\n {\"box_2d\": [324, 239, 610, 381], \"label\": \"wildfire\"},\n {\"box_2d\": [315, 597, 558, 795], \"label\": \"wildfire\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 215, "elapsed_seconds": 22.122368000098504, "metadata": {"match_method": "map", "num_predictions": 6, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6683167815208435, "attempts": 1, "retries": 0, "total_seconds": 22.2461}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 148, "image": "f36_jpg.rf.8c77ed13627d4f4c8abf32c1c7573442.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [199, 709, 412, 777], \"label\": \"wildfire\"},\n {\"box_2d\": [75, 651, 134, 670], \"label\": \"wildfire\"},\n {\"box_2d\": [468, 211, 587, 276], \"label\": \"wildfire\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 116, "elapsed_seconds": 135.61866045801435, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7524752616882324, "attempts": 1, "retries": 0, "total_seconds": 135.739}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 149, "image": "46_jpg.rf.ed53b85cf8112394121da4a88ce9efc4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [572, 150, 725, 213], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [529, 300, 651, 323], \"label\": \"resistor symbol\"},\n {\"box_2d\": [376, 376, 428, 444], \"label\": \"resistor symbol\"},\n {\"box_2d\": [170, 471, 302, 531], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [377, 560, 439, 639], \"label\": \"resistor symbol\"},\n {\"box_2d\": [572, 464, 718, 520], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [529, 670, 691, 695], \"label\": \"resistor symbol\"},\n {\"box_2d\": [603, 808, 727, 860], \"label\": \"dc current source symbol\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 304, "elapsed_seconds": 11.07940279203467, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 11.1799}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 150, "image": "Lego_131_low_jpeg.rf.be14ef4b77b52f77c1ed45c59ee5b3a4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [746, 597, 832, 678], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [815, 731, 880, 825], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [756, 788, 860, 882], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [687, 916, 784, 999], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [788, 425, 866, 515], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [680, 440, 766, 526], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [715, 388, 793, 469], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [813, 261, 906, 372], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [657, 343, 718, 450], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [596, 368, 662, 458], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [696, 171, 765, 277], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [636, 191, 704, 297], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [514, 161, 598, 262], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [518, 330, 598, 405], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [437, 281, 537, 357], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [372, 268, 468, 332], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [247, 229, 336, 317], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [226, 309, 306, 425], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [188, 33, 288, 150], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [144, 146, 219, 253], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [125, 275, 211, 391], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [41, 439, 137, 550], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [64, 617, 154, 694], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [150, 622, 236, 694], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [0, 730, 69, 795], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [274, 507, 353, 598], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [250, 652, 324, 746], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [352, 684, 449, 745], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [373, 728, 476, 807], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [468, 746, 569, 833], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [441, 800, 541, 891], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [533, 818, 601, 896], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [457, 947, 545, 999], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [182, 930, 286, 985], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [449, 527, 494, 628], \"label\": \"lego 4x1 brick\"}\n]\n```", "correct": true, "input_tokens": 1244, "output_tokens": 1371, "elapsed_seconds": 30.60079883306753, "metadata": {"match_method": "map", "num_predictions": 35, "num_ground_truth": 35, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8630362749099731, "attempts": 1, "retries": 0, "total_seconds": 30.6879}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 151, "image": "IMG_6677_jpeg_jpg.rf.66bd4292eb85ae8da61a8cef3e3384f8.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [368, 290, 454, 488], \"label\": \"orange poker chip\"},\n {\"box_2d\": [417, 296, 473, 490], \"label\": \"orange poker chip\"},\n {\"box_2d\": [436, 298, 493, 488], \"label\": \"orange poker chip\"},\n {\"box_2d\": [454, 296, 511, 490], \"label\": \"orange poker chip\"},\n {\"box_2d\": [468, 298, 526, 488], \"label\": \"orange poker chip\"},\n {\"box_2d\": [489, 296, 543, 481], \"label\": \"orange poker chip\"},\n {\"box_2d\": [504, 298, 560, 484], \"label\": \"orange poker chip\"},\n {\"box_2d\": [520, 298, 576, 482], \"label\": \"orange poker chip\"},\n {\"box_2d\": [529, 299, 591, 482], \"label\": \"orange poker chip\"},\n {\"box_2d\": [529, 315, 607, 491], \"label\": \"orange poker chip\"},\n {\"box_2d\": [461, 531, 560, 719], \"label\": \"orange poker chip\"},\n {\"box_2d\": [498, 524, 581, 708], \"label\": \"orange poker chip\"},\n {\"box_2d\": [529, 522, 613, 713], \"label\": \"orange poker chip\"},\n {\"box_2d\": [448, 707, 540, 899], \"label\": \"green poker chip\"},\n {\"box_2d\": [498, 717, 569, 920], \"label\": \"green poker chip\"},\n {\"box_2d\": [518, 722, 580, 914], \"label\": \"green poker chip\"},\n {\"box_2d\": [533, 731, 601, 932], \"label\": \"green poker chip\"},\n {\"box_2d\": [373, 30, 461, 241], \"label\": \"green poker chip\"},\n {\"box_2d\": [401, 52, 476, 253], \"label\": \"green poker chip\"},\n {\"box_2d\": [417, 54, 493, 259], \"label\": \"green poker chip\"},\n {\"box_2d\": [454, 52, 507, 251], \"label\": \"green poker chip\"},\n {\"box_2d\": [465, 52, 523, 250], \"label\": \"green poker chip\"},\n {\"box_2d\": [473, 52, 539, 254], \"label\": \"green poker chip\"},\n {\"box_2d\": [493, 55, 557, 251], \"label\": \"green poker chip\"},\n {\"box_2d\": [514, 55, 575, 253], \"label\": \"green poker chip\"},\n {\"box_2d\": [535, 58, 591, 247], \"label\": \"green poker chip\"},\n {\"box_2d\": [545, 52, 608, 246], \"label\": \"green poker chip\"}\n]\n```", "correct": true, "input_tokens": 1231, "output_tokens": 974, "elapsed_seconds": 12.111913125030696, "metadata": {"match_method": "map", "num_predictions": 27, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9699434041976929, "attempts": 1, "retries": 0, "total_seconds": 12.138}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 152, "image": "indir-1-_jpeg_jpg.rf.8d614705afcf35f2ac222aa7d9e608ff.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [779, 701, 785, 718], \"label\": \"dimension annotation\"},\n {\"box_2d\": [739, 735, 745, 751], \"label\": \"dimension annotation\"},\n {\"box_2d\": [768, 784, 782, 800], \"label\": \"dimension annotation\"},\n {\"box_2d\": [802, 736, 820, 752], \"label\": \"dimension annotation\"},\n {\"box_2d\": [447, 687, 467, 720], \"label\": \"dimension annotation\"},\n {\"box_2d\": [767, 622, 781, 665], \"label\": \"dimension annotation\"},\n {\"box_2d\": [850, 689, 864, 749], \"label\": \"dimension annotation\"},\n {\"box_2d\": [632, 715, 653, 749], \"label\": \"dimension annotation\"},\n {\"box_2d\": [849, 377, 863, 420], \"label\": \"dimension annotation\"},\n {\"box_2d\": [624, 159, 641, 183], \"label\": \"dimension annotation\"},\n {\"box_2d\": [429, 162, 454, 199], \"label\": \"dimension annotation\"},\n {\"box_2d\": [682, 417, 694, 454], \"label\": \"dimension annotation\"},\n {\"box_2d\": [750, 204, 767, 228], \"label\": \"dimension annotation\"},\n {\"box_2d\": [762, 147, 779, 171], \"label\": \"dimension annotation\"},\n {\"box_2d\": [17, 22, 49, 311], \"label\": \"technical drawing table\"},\n {\"box_2d\": [17, 904, 48, 976], \"label\": \"technical drawing table\"},\n {\"box_2d\": [914, 207, 984, 976], \"label\": \"technical drawing table\"}\n]\n```", "correct": false, "input_tokens": 1233, "output_tokens": 605, "elapsed_seconds": 8.632153499987908, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.47395095229148865, "attempts": 1, "retries": 0, "total_seconds": 8.648}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 153, "image": "1217_4_jpg.rf.834d702ab7cd425111d5c60612f66627.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [7, 36, 107, 130], \"label\": \"black rook\"},\n {\"box_2d\": [26, 134, 119, 240], \"label\": \"black knight\"},\n {\"box_2d\": [17, 286, 117, 374], \"label\": \"black bishop\"},\n {\"box_2d\": [0, 405, 121, 492], \"label\": \"black king\"},\n {\"box_2d\": [0, 526, 121, 612], \"label\": \"black queen\"},\n {\"box_2d\": [26, 656, 129, 745], \"label\": \"black bishop\"},\n {\"box_2d\": [6, 769, 112, 879], \"label\": \"black knight\"},\n {\"box_2d\": [16, 899, 115, 1000], \"label\": \"black rook\"},\n {\"box_2d\": [162, 35, 234, 112], \"label\": \"black pawn\"},\n {\"box_2d\": [163, 182, 234, 251], \"label\": \"black pawn\"},\n {\"box_2d\": [159, 286, 231, 356], \"label\": \"black pawn\"},\n {\"box_2d\": [173, 412, 244, 482], \"label\": \"black pawn\"},\n {\"box_2d\": [169, 545, 242, 616], \"label\": \"black pawn\"},\n {\"box_2d\": [166, 652, 237, 722], \"label\": \"black pawn\"},\n {\"box_2d\": [162, 764, 235, 835], \"label\": \"black pawn\"},\n {\"box_2d\": [151, 891, 223, 972], \"label\": \"black pawn\"},\n {\"box_2d\": [771, 18, 843, 96], \"label\": \"white pawn\"},\n {\"box_2d\": [773, 159, 845, 230], \"label\": \"white pawn\"},\n {\"box_2d\": [765, 278, 837, 350], \"label\": \"white pawn\"},\n {\"box_2d\": [770, 396, 842, 468], \"label\": \"white pawn\"},\n {\"box_2d\": [759, 499, 832, 570], \"label\": \"white pawn\"},\n {\"box_2d\": [772, 651, 845, 722], \"label\": \"white pawn\"},\n {\"box_2d\": [757, 773, 829, 847], \"label\": \"white pawn\"},\n {\"box_2d\": [756, 877, 828, 956], \"label\": \"white pawn\"},\n {\"box_2d\": [881, 12, 980, 108], \"label\": \"white rook\"},\n {\"box_2d\": [890, 122, 987, 234], \"label\": \"white knight\"},\n {\"box_2d\": [887, 276, 991, 366], \"label\": \"white bishop\"},\n {\"box_2d\": [870, 389, 995, 478], \"label\": \"white king\"},\n {\"box_2d\": [878, 515, 999, 601], \"label\": \"white queen\"},\n {\"box_2d\": [873, 634, 975, 724], \"label\": \"white bishop\"},\n {\"box_2d\": [891, 764, 985, 865], \"label\": \"white knight\"},\n {\"box_2d\": [876, 887, 975, 990], \"label\": \"white rook\"}\n]\n```", "correct": true, "input_tokens": 1259, "output_tokens": 1116, "elapsed_seconds": 17.197045500040986, "metadata": {"match_method": "map", "num_predictions": 32, "num_ground_truth": 32, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 17.4705}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 154, "image": "123_jpg.rf.dd57cefde1b1d657a6704903a0c29594.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [171, 324, 199, 377], \"label\": \"resistor symbol\"},\n {\"box_2d\": [273, 208, 349, 245], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [266, 440, 337, 474], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [163, 622, 189, 686], \"label\": \"resistor symbol\"},\n {\"box_2d\": [229, 804, 323, 848], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [456, 326, 487, 376], \"label\": \"resistor symbol\"},\n {\"box_2d\": [447, 655, 480, 703], \"label\": \"resistor symbol\"},\n {\"box_2d\": [612, 217, 683, 236], \"label\": \"resistor symbol\"},\n {\"box_2d\": [639, 447, 720, 493], \"label\": \"dc current source symbol\"},\n {\"box_2d\": [596, 833, 665, 850], \"label\": \"resistor symbol\"},\n {\"box_2d\": [820, 313, 903, 359], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [829, 620, 859, 678], \"label\": \"resistor symbol\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 449, "elapsed_seconds": 6.627432292094454, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 6.6395}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 155, "image": "Container_799_jpg.rf.18c1df3db98a6063d7285fb7c0ffd780.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [227, 805, 260, 945], \"label\": \"shipping container number\"},\n {\"box_2d\": [273, 865, 303, 902], \"label\": \"container ISO type code\"},\n {\"box_2d\": [139, 354, 285, 365], \"label\": \"container ISO type code\"},\n {\"box_2d\": [148, 309, 566, 326], \"label\": \"shipping container number\"}\n]\n```", "correct": false, "input_tokens": 1232, "output_tokens": 158, "elapsed_seconds": 4.457070333068259, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7524752020835876, "attempts": 1, "retries": 0, "total_seconds": 4.4759}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 156, "image": "08fd33_0_1_png_jpg.rf.49b1ec7a3f580266e0267dce06883980.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [662, 633, 720, 648], \"label\": \"referee\"},\n {\"box_2d\": [712, 538, 777, 553], \"label\": \"referee\"},\n {\"box_2d\": [461, 148, 502, 158], \"label\": \"goalkeeper\"},\n {\"box_2d\": [416, 250, 451, 259], \"label\": \"player\"},\n {\"box_2d\": [478, 431, 526, 443], \"label\": \"player\"},\n {\"box_2d\": [526, 408, 562, 421], \"label\": \"player\"},\n {\"box_2d\": [612, 429, 661, 442], \"label\": \"player\"},\n {\"box_2d\": [437, 491, 480, 503], \"label\": \"player\"},\n {\"box_2d\": [397, 509, 432, 519], \"label\": \"player\"},\n {\"box_2d\": [375, 490, 412, 499], \"label\": \"referee\"},\n {\"box_2d\": [371, 532, 404, 541], \"label\": \"player\"},\n {\"box_2d\": [341, 438, 369, 449], \"label\": \"player\"},\n {\"box_2d\": [352, 628, 386, 637], \"label\": \"player\"},\n {\"box_2d\": [369, 631, 405, 640], \"label\": \"player\"},\n {\"box_2d\": [398, 606, 436, 616], \"label\": \"player\"},\n {\"box_2d\": [415, 623, 455, 635], \"label\": \"player\"},\n {\"box_2d\": [416, 646, 455, 657], \"label\": \"player\"},\n {\"box_2d\": [387, 659, 424, 670], \"label\": \"player\"},\n {\"box_2d\": [447, 616, 493, 625], \"label\": \"player\"},\n {\"box_2d\": [502, 626, 547, 638], \"label\": \"player\"},\n {\"box_2d\": [463, 706, 508, 720], \"label\": \"player\"},\n {\"box_2d\": [599, 680, 650, 694], \"label\": \"player\"},\n {\"box_2d\": [572, 773, 616, 787], \"label\": \"player\"},\n {\"box_2d\": [629, 837, 682, 851], \"label\": \"player\"},\n {\"box_2d\": [644, 825, 702, 843], \"label\": \"referee\"},\n {\"box_2d\": [401, 905, 441, 918], \"label\": \"goalkeeper\"},\n {\"box_2d\": [301, 326, 326, 335], \"label\": \"referee\"},\n {\"box_2d\": [607, 340, 619, 346], \"label\": \"football\"},\n {\"box_2d\": [662, 387, 726, 402], \"label\": \"referee\"}\n]\n```", "correct": true, "input_tokens": 1242, "output_tokens": 1006, "elapsed_seconds": 14.770954749896191, "metadata": {"match_method": "map", "num_predictions": 29, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8999999761581421, "attempts": 1, "retries": 0, "total_seconds": 14.8968}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 157, "image": "Lego_122_low_jpeg.rf.ea0402c215977271fc16971fe6cad37a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [779, 875, 862, 932], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [750, 550, 826, 608], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [708, 452, 795, 537], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [708, 389, 813, 479], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [626, 403, 710, 479], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [600, 914, 675, 964], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [678, 827, 764, 931], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [691, 782, 784, 850], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [637, 741, 709, 842], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [608, 688, 690, 741], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [553, 628, 626, 712], \"label\": \"lego 3x2 brick\"},\n {\"box_2d\": [552, 537, 640, 625], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [326, 940, 425, 1000], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [333, 749, 437, 828], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [373, 680, 461, 764], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [96, 833, 198, 936], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [60, 777, 155, 860], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [100, 651, 211, 748], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [214, 593, 314, 649], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [188, 466, 286, 575], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [338, 472, 444, 554], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [138, 364, 246, 442], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [268, 316, 355, 408], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [349, 321, 444, 383], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [77, 193, 155, 310], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [340, 183, 437, 261], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [378, 56, 460, 160], \"label\": \"lego 4x1 brick\"},\n {\"box_2d\": [508, 134, 597, 253], \"label\": \"lego 4x2 brick\"},\n {\"box_2d\": [784, 187, 870, 286], \"label\": \"lego 4x1 brick\"}\n]\n```", "correct": true, "input_tokens": 1244, "output_tokens": 1140, "elapsed_seconds": 41.60398541693576, "metadata": {"match_method": "map", "num_predictions": 29, "num_ground_truth": 30, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9669967293739319, "attempts": 1, "retries": 0, "total_seconds": 41.6876}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 158, "image": "20230220_110126_jpg.rf.9dd19de1f35f973245770a80a67f5a86.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [468, 37, 493, 134], \"label\": \"crack\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 45, "elapsed_seconds": 9.99669850000646, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 10.0173}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 159, "image": "20230224_102553_jpg.rf.405f8900643fe92cf5dde61e03ca7cd9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [598, 816, 703, 914], \"label\": \"crack\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 46, "elapsed_seconds": 20.746493082959205, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 20.7682}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 160, "image": "40_jpg.rf.9c5565949caf7c10eef3c765c461dcc3.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [392, 371, 567, 597], \"label\": \"blood sample tube\"},\n {\"box_2d\": [264, 767, 558, 926], \"label\": \"blood sample tube\"},\n {\"box_2d\": [384, 553, 503, 796], \"label\": \"blood sample tube\"},\n {\"box_2d\": [195, 586, 431, 789], \"label\": \"blood sample tube\"},\n {\"box_2d\": [136, 533, 444, 666], \"label\": \"blood sample tube\"},\n {\"box_2d\": [144, 476, 469, 532], \"label\": \"blood sample tube\"},\n {\"box_2d\": [34, 316, 159, 549], \"label\": \"blood sample tube\"},\n {\"box_2d\": [26, 502, 95, 742], \"label\": \"blood sample tube\"},\n {\"box_2d\": [82, 591, 161, 843], \"label\": \"blood sample tube\"},\n {\"box_2d\": [70, 839, 403, 894], \"label\": \"blood sample tube\"},\n {\"box_2d\": [142, 886, 474, 935], \"label\": \"blood sample tube\"},\n {\"box_2d\": [425, 594, 549, 839], \"label\": \"blood sample tube\"},\n {\"box_2d\": [512, 690, 652, 943], \"label\": \"blood sample tube\"},\n {\"box_2d\": [558, 664, 707, 910], \"label\": \"blood sample tube\"},\n {\"box_2d\": [596, 613, 736, 856], \"label\": \"blood sample tube\"},\n {\"box_2d\": [612, 480, 731, 730], \"label\": \"blood sample tube\"},\n {\"box_2d\": [673, 492, 741, 738], \"label\": \"blood sample tube\"},\n {\"box_2d\": [35, 164, 357, 217], \"label\": \"blood sample tube\"},\n {\"box_2d\": [204, 167, 519, 265], \"label\": \"blood sample tube\"},\n {\"box_2d\": [151, 258, 465, 336], \"label\": \"blood sample tube\"},\n {\"box_2d\": [384, 154, 695, 275], \"label\": \"blood sample tube\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 762, "elapsed_seconds": 11.949356207973324, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 21, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 11.9807}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 161, "image": "car-part-detection_Car-damages-765_png_jpg.rf.98f80e9f33638af692acb0b18adddcfd.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [504, 505, 632, 742], \"label\": \"headlight\"},\n {\"box_2d\": [298, 212, 353, 307], \"label\": \"mirror\"},\n {\"box_2d\": [132, 293, 344, 675], \"label\": \"windshield\"},\n {\"box_2d\": [251, 389, 551, 907], \"label\": \"hood\"},\n {\"box_2d\": [149, 212, 326, 314], \"label\": \"front window\"},\n {\"box_2d\": [142, 132, 290, 212], \"label\": \"back window\"},\n {\"box_2d\": [140, 128, 518, 212], \"label\": \"back door\"},\n {\"box_2d\": [140, 198, 616, 333], \"label\": \"front door\"},\n {\"box_2d\": [637, 463, 898, 921], \"label\": \"front bumper\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 325, "elapsed_seconds": 22.170918375020847, "metadata": {"match_method": "map", "num_predictions": 9, "num_ground_truth": 13, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6822681427001953, "attempts": 1, "retries": 0, "total_seconds": 22.1874}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 162, "image": "frame_0089_jpg.rf.c7cd5f3b9d3ee6d5f30b8357b148d8d4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [238, 325, 280, 350], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [248, 382, 293, 409], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [258, 442, 303, 469], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [280, 502, 326, 529], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [336, 314, 383, 339], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [351, 371, 399, 398], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [363, 431, 411, 459], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [383, 493, 433, 520], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [443, 306, 493, 332], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [461, 365, 512, 392], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [474, 425, 524, 454], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [496, 488, 546, 517], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [918, 293, 967, 317], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [928, 353, 980, 381], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [942, 415, 992, 444], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [948, 480, 998, 509], \"label\": \"soda bottle cap\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 588, "elapsed_seconds": 69.02799162501469, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 69.5886}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 163, "image": "IMG_5103_JPG.rf.05aa0caa3f6431dd232e7223cc79a35a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [592, 272, 654, 300], \"label\": \"face\"},\n {\"box_2d\": [639, 323, 688, 353], \"label\": \"face\"},\n {\"box_2d\": [686, 401, 743, 439], \"label\": \"face\"},\n {\"box_2d\": [368, 404, 396, 417], \"label\": \"face\"},\n {\"box_2d\": [361, 386, 386, 399], \"label\": \"face\"},\n {\"box_2d\": [356, 352, 381, 366], \"label\": \"face\"},\n {\"box_2d\": [417, 540, 444, 554], \"label\": \"face\"},\n {\"box_2d\": [425, 574, 452, 589], \"label\": \"face\"},\n {\"box_2d\": [438, 619, 469, 634], \"label\": \"face\"},\n {\"box_2d\": [397, 605, 421, 618], \"label\": \"face\"},\n {\"box_2d\": [390, 560, 416, 574], \"label\": \"face\"},\n {\"box_2d\": [418, 646, 444, 659], \"label\": \"face\"},\n {\"box_2d\": [427, 689, 453, 701], \"label\": \"face\"},\n {\"box_2d\": [435, 715, 460, 728], \"label\": \"face\"},\n {\"box_2d\": [381, 667, 407, 678], \"label\": \"face\"},\n {\"box_2d\": [373, 628, 395, 640], \"label\": \"face\"},\n {\"box_2d\": [371, 603, 394, 614], \"label\": \"face\"},\n {\"box_2d\": [456, 771, 484, 785], \"label\": \"face\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 624, "elapsed_seconds": 71.03878225001972, "metadata": {"match_method": "map", "num_predictions": 18, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3344334363937378, "attempts": 1, "retries": 0, "total_seconds": 71.5369}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 164, "image": "fall-detection_camerathree-second_mp4-114_jpg.rf.8d4ab219233d1b243e3602fc397d1bfa.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [581, 358, 678, 588], \"label\": \"fallen person\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 47, "elapsed_seconds": 5.703726209001616, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 5.7212}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 165, "image": "lot301_JPEG_jpg.rf.190ac2533508d09b091e542956d526a5.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [588, 469, 619, 505], \"label\": \"chicory seed\"},\n {\"box_2d\": [537, 514, 567, 557], \"label\": \"chicory seed\"},\n {\"box_2d\": [465, 467, 495, 504], \"label\": \"chicory seed\"},\n {\"box_2d\": [413, 434, 453, 458], \"label\": \"chicory seed\"},\n {\"box_2d\": [341, 427, 376, 463], \"label\": \"chicory seed\"},\n {\"box_2d\": [377, 376, 417, 396], \"label\": \"chicory seed\"},\n {\"box_2d\": [378, 336, 400, 376], \"label\": \"chicory seed\"},\n {\"box_2d\": [331, 350, 362, 386], \"label\": \"chicory seed\"},\n {\"box_2d\": [425, 469, 449, 508], \"label\": \"chicory seed\"},\n {\"box_2d\": [380, 491, 419, 516], \"label\": \"chicory seed\"},\n {\"box_2d\": [381, 510, 420, 537], \"label\": \"chicory seed\"},\n {\"box_2d\": [411, 533, 433, 574], \"label\": \"chicory seed\"},\n {\"box_2d\": [412, 575, 442, 611], \"label\": 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{\"box_2d\": [712, 383, 735, 426], \"label\": \"chicory seed\"},\n {\"box_2d\": [734, 384, 758, 429], \"label\": \"chicory seed\"},\n {\"box_2d\": [743, 364, 772, 405], \"label\": \"chicory seed\"},\n {\"box_2d\": [732, 324, 765, 362], \"label\": \"chicory seed\"},\n {\"box_2d\": [749, 341, 789, 365], \"label\": \"chicory seed\"},\n {\"box_2d\": [756, 287, 784, 328], \"label\": \"chicory seed\"},\n {\"box_2d\": [776, 300, 797, 344], \"label\": \"chicory seed\"},\n {\"box_2d\": [787, 330, 811, 376], \"label\": \"chicory seed\"},\n {\"box_2d\": [769, 366, 809, 394], \"label\": \"chicory seed\"},\n {\"box_2d\": [806, 359, 835, 402], \"label\": \"chicory seed\"},\n {\"box_2d\": [776, 394, 812, 432], \"label\": \"chicory seed\"},\n {\"box_2d\": [805, 395, 836, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [757, 412, 796, 439], \"label\": \"chicory seed\"},\n {\"box_2d\": [698, 434, 735, 466], \"label\": \"chicory seed\"},\n {\"box_2d\": [694, 466, 725, 505], \"label\": \"chicory seed\"},\n {\"box_2d\": [738, 429, 763, 474], \"label\": \"chicory seed\"},\n {\"box_2d\": [732, 469, 770, 502], \"label\": \"chicory seed\"},\n {\"box_2d\": [708, 520, 751, 543], \"label\": \"chicory seed\"},\n {\"box_2d\": [750, 489, 775, 531], \"label\": \"chicory seed\"},\n {\"box_2d\": [775, 442, 802, 484], \"label\": \"chicory seed\"},\n {\"box_2d\": [793, 435, 818, 474], \"label\": \"chicory seed\"},\n {\"box_2d\": [810, 433, 847, 456], \"label\": \"chicory seed\"},\n {\"box_2d\": [824, 455, 853, 495], \"label\": \"chicory seed\"},\n {\"box_2d\": [776, 480, 810, 511], \"label\": \"chicory seed\"},\n {\"box_2d\": [800, 480, 836, 512], \"label\": \"chicory seed\"},\n {\"box_2d\": [752, 524, 795, 551], \"label\": \"chicory seed\"},\n {\"box_2d\": [731, 554, 771, 586], \"label\": \"chicory seed\"},\n {\"box_2d\": [721, 584, 745, 624], \"label\": \"chicory seed\"},\n {\"box_2d\": [755, 564, 785, 606], \"label\": \"chicory seed\"},\n {\"box_2d\": [782, 529, 816, 568], \"label\": \"chicory seed\"},\n {\"box_2d\": [815, 530, 853, 555], \"label\": \"chicory seed\"},\n {\"box_2d\": [806, 550, 846, 574], \"label\": \"chicory seed\"},\n {\"box_2d\": [773, 594, 807, 632], \"label\": \"chicory seed\"},\n {\"box_2d\": [791, 578, 816, 621], \"label\": \"chicory seed\"},\n {\"box_2d\": [810, 594, 836, 638], \"label\": \"chicory seed\"},\n {\"box_2d\": [791, 639, 829, 675], \"label\": \"chicory seed\"},\n {\"box_2d\": [736, 637, 776, 663], \"label\": \"chicory seed\"},\n {\"box_2d\": [743, 661, 785, 684], \"label\": \"chicory seed\"},\n {\"box_2d\": [718, 638, 742, 680], \"label\": \"chicory seed\"},\n {\"box_2d\": [682, 648, 715, 687], \"label\": \"chicory seed\"},\n {\"box_2d\": [644, 684, 684, 713], \"label\": \"chicory seed\"},\n {\"box_2d\": [670, 686, 702, 723], \"label\": \"chicory seed\"},\n {\"box_2d\": [642, 726, 683, 753], \"label\": \"chicory seed\"},\n {\"box_2d\": [694, 715, 730, 751], \"label\": \"chicory seed\"},\n {\"box_2d\": [765, 697, 803, 729], \"label\": \"chicory seed\"},\n {\"box_2d\": [721, 740, 759, 770], \"label\": \"chicory seed\"},\n {\"box_2d\": [661, 749, 701, 774], \"label\": \"chicory seed\"},\n {\"box_2d\": [656, 769, 680, 813], \"label\": \"chicory seed\"},\n {\"box_2d\": [699, 744, 722, 785], \"label\": \"chicory seed\"},\n {\"box_2d\": [711, 764, 735, 806], \"label\": \"chicory seed\"},\n {\"box_2d\": [618, 804, 651, 840], \"label\": \"chicory seed\"},\n {\"box_2d\": [588, 784, 613, 824], \"label\": \"chicory seed\"},\n {\"box_2d\": [581, 824, 603, 869], \"label\": \"chicory seed\"},\n {\"box_2d\": [556, 803, 587, 846], \"label\": \"chicory seed\"},\n {\"box_2d\": [556, 776, 586, 817], \"label\": \"chicory seed\"},\n {\"box_2d\": [549, 754, 591, 776], \"label\": \"chicory seed\"},\n {\"box_2d\": [520, 737, 547, 779], \"label\": \"chicory seed\"},\n {\"box_2d\": [522, 772, 563, 793], \"label\": \"chicory seed\"},\n {\"box_2d\": [501, 792, 544, 816], \"label\": \"chicory seed\"},\n {\"box_2d\": [526, 807, 564, 833], \"label\": \"chicory seed\"},\n {\"box_2d\": [526, 833, 559, 870], \"label\": \"chicory seed\"},\n {\"box_2d\": [499, 835, 523, 882], \"label\": \"chicory seed\"},\n {\"box_2d\": [489, 815, 525, 848], \"label\": \"chicory seed\"},\n {\"box_2d\": [468, 834, 498, 865], \"label\": \"chicory seed\"},\n {\"box_2d\": [469, 804, 502, 836], \"label\": \"chicory seed\"},\n {\"box_2d\": [467, 782, 508, 804], \"label\": \"chicory seed\"},\n {\"box_2d\": [481, 749, 504, 786], \"label\": \"chicory seed\"},\n {\"box_2d\": [498, 747, 521, 791], \"label\": \"chicory seed\"},\n {\"box_2d\": [439, 764, 482, 786], \"label\": \"chicory seed\"},\n {\"box_2d\": [425, 730, 448, 768], \"label\": \"chicory seed\"},\n {\"box_2d\": [404, 731, 426, 772], \"label\": \"chicory seed\"},\n {\"box_2d\": [408, 777, 429, 822], \"label\": \"chicory seed\"},\n {\"box_2d\": [428, 784, 469, 811], \"label\": \"chicory seed\"},\n {\"box_2d\": [427, 806, 450, 850], \"label\": \"chicory seed\"},\n {\"box_2d\": [447, 811, 469, 854], \"label\": \"chicory seed\"},\n {\"box_2d\": [381, 827, 417, 859], \"label\": \"chicory seed\"},\n {\"box_2d\": [360, 816, 400, 845], \"label\": \"chicory seed\"},\n {\"box_2d\": [367, 751, 389, 793], \"label\": \"chicory seed\"},\n {\"box_2d\": [347, 762, 371, 807], \"label\": \"chicory seed\"},\n {\"box_2d\": [327, 769, 350, 813], \"label\": \"chicory seed\"},\n {\"box_2d\": [303, 748, 342, 771], \"label\": \"chicory seed\"},\n {\"box_2d\": [276, 748, 304, 785], \"label\": \"chicory seed\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 10920, "elapsed_seconds": 77.53483979101293, "metadata": {"match_method": "map", "num_predictions": 303, "num_ground_truth": 303, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3366336524486542, "attempts": 1, "retries": 0, "total_seconds": 77.6774}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 166, "image": "9pro_tire_2024-10-17_2_png_jpg.rf.4f51ee46ba892a991a30327b934d13a9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [77, 198, 179, 396], \"label\": \"tire size text\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 47, "elapsed_seconds": 19.31727445893921, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5049504637718201, "attempts": 1, "retries": 0, "total_seconds": 19.6366}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 167, "image": "2024-12-05T02-00-56-789Z-1004_jpg.rf.16e81306ce0ce847c1fdd836e6752b92.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [243, 0, 658, 162], \"label\": \"velcro cable tie\"},\n {\"box_2d\": [427, 868, 502, 927], \"label\": \"screw\"}\n]\n```", "correct": true, "input_tokens": 1204, "output_tokens": 81, "elapsed_seconds": 10.123836624901742, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 10.4359}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 168, "image": "45_png.rf.5c5cd31ecf12f414c9d6c446b6599fc0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [56, 239, 90, 298], \"label\": \"not gate symbol\"},\n {\"box_2d\": [92, 789, 141, 888], \"label\": \"or gate symbol\"},\n {\"box_2d\": [103, 424, 154, 524], \"label\": \"and gate symbol\"},\n {\"box_2d\": [300, 550, 360, 629], \"label\": \"and gate symbol\"},\n {\"box_2d\": [300, 667, 360, 745], \"label\": \"and gate symbol\"},\n {\"box_2d\": [370, 789, 419, 888], \"label\": \"or gate symbol\"},\n {\"box_2d\": [581, 574, 639, 653], \"label\": \"and gate symbol\"},\n {\"box_2d\": [581, 691, 639, 769], \"label\": \"and gate symbol\"},\n {\"box_2d\": [648, 811, 699, 910], \"label\": \"or gate symbol\"},\n {\"box_2d\": [871, 591, 932, 669], \"label\": \"and gate symbol\"},\n {\"box_2d\": [871, 706, 932, 784], \"label\": \"and gate symbol\"},\n {\"box_2d\": [940, 811, 991, 910], \"label\": \"or gate symbol\"}\n]\n```", "correct": true, "input_tokens": 1264, "output_tokens": 441, "elapsed_seconds": 5.8988725830568, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 5.9039}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 169, "image": "paper-parts_112786_53_jpg.rf.0483acf3782b23a87f49280c7a03b327.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [92, 177, 330, 667], \"label\": \"figure\"},\n {\"box_2d\": [372, 177, 424, 882], \"label\": \"figure caption\"},\n {\"box_2d\": [478, 177, 493, 207], \"label\": \"paragraph\"},\n {\"box_2d\": [524, 274, 551, 753], \"label\": \"equation\"},\n {\"box_2d\": [560, 274, 588, 711], \"label\": \"equation\"},\n {\"box_2d\": [597, 274, 624, 783], \"label\": \"equation\"},\n {\"box_2d\": [633, 274, 661, 734], \"label\": \"equation\"},\n {\"box_2d\": [669, 274, 697, 735], \"label\": \"equation\"},\n {\"box_2d\": [708, 274, 725, 530], \"label\": \"equation\"},\n {\"box_2d\": [756, 177, 869, 882], \"label\": \"paragraph\"},\n {\"box_2d\": [898, 520, 913, 539], \"label\": \"page number\"}\n]\n```", "correct": false, "input_tokens": 1248, "output_tokens": 387, "elapsed_seconds": 5.302815333940089, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6504949927330017, "attempts": 1, "retries": 0, "total_seconds": 5.3441}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 170, "image": "signatures_image_21_png_jpg.rf.af64d00b20a92b8a4d92e9aefc5cd1f8.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [72, 217, 176, 358], \"label\": \"signature\"},\n {\"box_2d\": [301, 678, 405, 868], \"label\": \"signature\"},\n {\"box_2d\": [654, 511, 761, 725], \"label\": \"signature\"},\n {\"box_2d\": [829, 651, 932, 852], \"label\": \"signature\"},\n {\"box_2d\": [832, 418, 945, 643], \"label\": \"signature\"}\n]\n```", "correct": true, "input_tokens": 1252, "output_tokens": 181, "elapsed_seconds": 5.810936207999475, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.800000011920929, "attempts": 1, "retries": 0, "total_seconds": 5.9406}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 171, "image": "1668146885__jpg.rf.3d8577f11d5831de64da2c2964b98050.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [50, 206, 98, 234], \"label\": \"six die\"},\n {\"box_2d\": [27, 353, 81, 384], \"label\": \"four die\"},\n {\"box_2d\": [174, 226, 224, 256], \"label\": \"two die\"},\n {\"box_2d\": [143, 143, 193, 171], \"label\": \"two die\"},\n {\"box_2d\": [327, 214, 384, 245], \"label\": \"six die\"},\n {\"box_2d\": [393, 138, 448, 171], \"label\": \"three die\"},\n {\"box_2d\": [377, 202, 434, 235], \"label\": \"six die\"},\n {\"box_2d\": [443, 217, 496, 247], \"label\": \"one die\"},\n {\"box_2d\": [381, 276, 438, 307], \"label\": \"four die\"},\n {\"box_2d\": [348, 319, 399, 348], \"label\": \"five die\"},\n {\"box_2d\": [520, 273, 577, 305], \"label\": \"three die\"},\n {\"box_2d\": [517, 218, 572, 249], \"label\": \"three die\"},\n {\"box_2d\": [628, 166, 675, 193], \"label\": \"two die\"},\n {\"box_2d\": [694, 226, 748, 257], \"label\": \"three die\"},\n {\"box_2d\": [731, 259, 785, 290], \"label\": \"four die\"},\n {\"box_2d\": [596, 449, 643, 475], \"label\": \"two die\"},\n {\"box_2d\": [510, 469, 563, 499], \"label\": \"four die\"},\n {\"box_2d\": [573, 496, 629, 527], \"label\": \"six die\"},\n {\"box_2d\": [624, 511, 678, 542], \"label\": \"four die\"},\n {\"box_2d\": [618, 555, 671, 584], \"label\": \"four die\"},\n {\"box_2d\": [558, 533, 608, 561], \"label\": \"one die\"},\n {\"box_2d\": [508, 538, 563, 570], \"label\": \"five die\"},\n {\"box_2d\": [541, 560, 597, 590], \"label\": \"five die\"},\n {\"box_2d\": [448, 589, 496, 616], \"label\": \"three die\"},\n {\"box_2d\": [347, 545, 401, 575], \"label\": \"five die\"},\n {\"box_2d\": [304, 564, 349, 590], \"label\": \"six die\"},\n {\"box_2d\": [311, 598, 358, 623], \"label\": \"one die\"},\n {\"box_2d\": [261, 634, 314, 664], \"label\": \"four die\"},\n {\"box_2d\": [196, 635, 251, 666], \"label\": \"six die\"},\n {\"box_2d\": [131, 711, 184, 742], \"label\": \"six die\"},\n {\"box_2d\": [107, 750, 162, 781], \"label\": \"three die\"},\n {\"box_2d\": [60, 791, 113, 821], \"label\": \"two die\"},\n {\"box_2d\": [210, 885, 261, 916], \"label\": \"five die\"},\n {\"box_2d\": [305, 918, 358, 950], \"label\": \"three die\"},\n {\"box_2d\": [298, 790, 353, 821], \"label\": \"three die\"},\n {\"box_2d\": [343, 779, 400, 811], \"label\": \"four die\"},\n {\"box_2d\": [293, 684, 345, 715], \"label\": \"four die\"},\n {\"box_2d\": [376, 687, 431, 720], \"label\": \"three die\"},\n {\"box_2d\": [421, 661, 474, 691], \"label\": \"six die\"},\n {\"box_2d\": [475, 684, 531, 715], \"label\": \"three die\"},\n {\"box_2d\": [485, 716, 540, 748], \"label\": \"two die\"},\n {\"box_2d\": [540, 806, 585, 833], \"label\": \"six die\"},\n {\"box_2d\": [581, 828, 625, 855], \"label\": \"five die\"},\n {\"box_2d\": [612, 789, 656, 817], \"label\": \"six die\"},\n {\"box_2d\": [654, 712, 709, 743], \"label\": \"two die\"},\n {\"box_2d\": [682, 857, 727, 885], \"label\": \"six die\"},\n {\"box_2d\": [965, 761, 1000, 790], \"label\": \"six die\"},\n {\"box_2d\": [699, 584, 745, 611], \"label\": \"six die\"}\n]\n```", "correct": false, "input_tokens": 1252, "output_tokens": 1688, "elapsed_seconds": 18.218972874921747, "metadata": {"match_method": "map", "num_predictions": 48, "num_ground_truth": 48, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.789709746837616, "attempts": 1, "retries": 0, "total_seconds": 18.2771}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 172, "image": "IMG_20220316_171754_jpg.rf.02842914dec30f998cea03868026b96a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [86, 192, 405, 487], \"label\": \"eight of clubs\"},\n {\"box_2d\": [283, 274, 650, 538], \"label\": \"seven of clubs\"},\n {\"box_2d\": [294, 419, 675, 740], \"label\": \"five of clubs\"},\n {\"box_2d\": [461, 517, 941, 924], \"label\": \"six of clubs\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 155, "elapsed_seconds": 6.158816415932961, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 6.1991}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 173, "image": "39_jpg.rf.edb5339d00a37b75d6cf16c1f9a301ff.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [173, 165, 211, 206], \"label\": \"resistor symbol\"},\n {\"box_2d\": [151, 353, 198, 405], \"label\": \"resistor symbol\"},\n {\"box_2d\": [118, 554, 210, 619], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [156, 769, 190, 811], \"label\": \"resistor symbol\"},\n {\"box_2d\": [324, 673, 419, 691], \"label\": \"resistor symbol\"},\n {\"box_2d\": [432, 855, 540, 873], \"label\": \"resistor symbol\"},\n {\"box_2d\": [353, 481, 444, 498], \"label\": \"resistor symbol\"},\n {\"box_2d\": [771, 329, 833, 399], \"label\": \"resistor symbol\"},\n {\"box_2d\": [354, 270, 447, 285], \"label\": \"resistor symbol\"},\n {\"box_2d\": [461, 61, 636, 125], \"label\": \"dc voltage source symbol\"},\n {\"box_2d\": [805, 274, 895, 298], \"label\": \"ground symbol\"}\n]\n```", "correct": true, "input_tokens": 1216, "output_tokens": 408, "elapsed_seconds": 12.574533540988341, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 10, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8333333134651184, "attempts": 1, "retries": 0, "total_seconds": 12.6853}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 174, "image": "99FB9DDE-58F9-4BBA-8CC2-48146BC0EBC5_jpg.rf.1cef29e3b05e7507a4b618bd8b857503.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [191, 249, 253, 309], \"label\": \"pill\"},\n {\"box_2d\": [181, 444, 245, 502], \"label\": \"pill\"},\n {\"box_2d\": [278, 450, 338, 508], \"label\": \"pill\"},\n {\"box_2d\": [270, 327, 329, 386], \"label\": \"pill\"},\n {\"box_2d\": [294, 202, 353, 265], \"label\": \"pill\"},\n {\"box_2d\": [354, 180, 412, 242], \"label\": \"pill\"},\n {\"box_2d\": [417, 134, 476, 198], \"label\": \"pill\"},\n {\"box_2d\": [420, 246, 478, 305], \"label\": \"pill\"},\n {\"box_2d\": [387, 311, 445, 370], \"label\": \"pill\"},\n {\"box_2d\": [336, 285, 394, 344], \"label\": \"pill\"},\n {\"box_2d\": [320, 408, 378, 466], \"label\": \"pill\"},\n {\"box_2d\": [333, 469, 392, 528], \"label\": \"pill\"},\n {\"box_2d\": [377, 391, 436, 449], \"label\": \"pill\"},\n {\"box_2d\": [445, 360, 504, 419], \"label\": \"pill\"},\n {\"box_2d\": [472, 303, 531, 362], \"label\": \"pill\"},\n {\"box_2d\": [515, 345, 574, 404], \"label\": \"pill\"},\n {\"box_2d\": [504, 414, 563, 472], \"label\": \"pill\"},\n {\"box_2d\": [446, 440, 504, 498], \"label\": \"pill\"},\n {\"box_2d\": [399, 478, 458, 537], \"label\": \"pill\"},\n {\"box_2d\": [386, 546, 446, 606], \"label\": \"pill\"},\n {\"box_2d\": [449, 534, 508, 592], \"label\": \"pill\"},\n {\"box_2d\": [428, 613, 488, 672], \"label\": \"pill\"},\n {\"box_2d\": [404, 668, 464, 729], \"label\": \"pill\"},\n {\"box_2d\": [507, 562, 567, 620], \"label\": \"pill\"},\n {\"box_2d\": [490, 486, 549, 544], \"label\": \"pill\"},\n {\"box_2d\": [552, 466, 611, 526], \"label\": \"pill\"},\n {\"box_2d\": [563, 530, 623, 589], \"label\": \"pill\"},\n {\"box_2d\": [637, 539, 697, 600], \"label\": \"pill\"},\n {\"box_2d\": [612, 449, 672, 508], \"label\": \"pill\"},\n {\"box_2d\": [593, 366, 653, 425], \"label\": \"pill\"},\n {\"box_2d\": [603, 283, 663, 344], \"label\": \"pill\"},\n {\"box_2d\": [620, 199, 681, 263], \"label\": \"pill\"},\n {\"box_2d\": [686, 763, 749, 829], \"label\": \"pill\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 1134, "elapsed_seconds": 42.94940337492153, "metadata": {"match_method": "map", "num_predictions": 33, "num_ground_truth": 33, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 43.437}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 175, "image": "8a_tire_2024-10-17_62_png_jpg.rf.da90fbf7f0527f341a28f165c3e83dac.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [146, 344, 187, 439], \"label\": \"tire size text\"},\n {\"box_2d\": [465, 58, 656, 94], \"label\": \"tire size text\"},\n {\"box_2d\": [457, 913, 646, 946], \"label\": \"tire size text\"}\n]\n```", "correct": false, "input_tokens": 1226, "output_tokens": 118, "elapsed_seconds": 68.75813470897265, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.4422442317008972, "attempts": 1, "retries": 0, "total_seconds": 69.3016}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 176, "image": "frame_0002_03_jpg.rf.dda0be95dbf94773efee5983feb50582.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [731, 389, 795, 421], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [746, 535, 811, 567], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [715, 320, 773, 350], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [742, 461, 804, 493], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [590, 327, 650, 358], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [603, 398, 667, 429], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [609, 470, 672, 502], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [616, 543, 679, 575], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [489, 544, 548, 577], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [484, 472, 544, 504], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [464, 330, 524, 360], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [478, 398, 535, 430], \"label\": \"soda bottle cap\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 444, "elapsed_seconds": 32.58022050000727, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 33.6371}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 177, "image": "f77_jpg.rf.82279850cbac861dc93376eb2c7be55d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 56, 444, 244], \"label\": \"wildfire\"},\n {\"box_2d\": [146, 294, 194, 314], \"label\": \"wildfire\"},\n {\"box_2d\": [489, 643, 526, 661], \"label\": \"wildfire\"},\n {\"box_2d\": [0, 745, 725, 1000], \"label\": \"wildfire\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 148, "elapsed_seconds": 58.85663433303125, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.27062708139419556, "attempts": 1, "retries": 0, "total_seconds": 58.9779}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 178, "image": "1219_48_jpg.rf.d6aecd0b221112666e45beae667e3572.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 8, 124, 130], \"label\": \"white king\"},\n {\"box_2d\": [3, 386, 125, 473], \"label\": \"white queen\"},\n {\"box_2d\": [17, 891, 117, 995], \"label\": \"white bishop\"},\n {\"box_2d\": [143, 385, 236, 476], \"label\": \"white bishop\"},\n {\"box_2d\": [279, 648, 350, 720], \"label\": \"white pawn\"},\n {\"box_2d\": [397, 275, 486, 366], \"label\": \"black king\"},\n {\"box_2d\": [397, 519, 479, 599], \"label\": \"white rook\"},\n {\"box_2d\": [398, 769, 481, 879], \"label\": \"black queen\"},\n {\"box_2d\": [533, 146, 613, 233], \"label\": \"black rook\"},\n {\"box_2d\": [513, 273, 594, 356], \"label\": \"white knight\"},\n {\"box_2d\": [522, 637, 601, 734], \"label\": \"black knight\"},\n {\"box_2d\": [498, 770, 575, 862], \"label\": \"black rook\"},\n {\"box_2d\": [635, 9, 715, 117], \"label\": \"black knight\"},\n {\"box_2d\": [647, 526, 728, 620], \"label\": \"white knight\"},\n {\"box_2d\": [666, 751, 737, 825], \"label\": \"black pawn\"},\n {\"box_2d\": [748, 253, 837, 342], \"label\": \"black bishop\"},\n {\"box_2d\": [866, 278, 982, 368], \"label\": \"black queen\"}\n]\n```", "correct": true, "input_tokens": 1259, "output_tokens": 598, "elapsed_seconds": 19.55115895799827, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 17, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 19.8171}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 179, "image": "f27_jpg.rf.b153b2c59a95b68f3f9edb924d42cee4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [586, 179, 954, 396], \"label\": \"wildfire\"},\n {\"box_2d\": [213, 603, 452, 740], \"label\": \"wildfire\"},\n {\"box_2d\": [650, 678, 756, 738], \"label\": \"wildfire\"},\n {\"box_2d\": [56, 240, 449, 396], \"label\": \"wildfire\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 151, "elapsed_seconds": 10.295430124970153, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 10.4261}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 180, "image": "img_461922717831528641_png.rf.c1eccbe6f38478b43fbba2e4cba33ac0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [58, 178, 173, 326], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [29, 319, 134, 456], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [67, 444, 178, 585], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [36, 577, 146, 712], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [77, 697, 189, 840], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [171, 695, 291, 845], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [269, 697, 393, 855], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [373, 703, 500, 868], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [484, 709, 608, 882], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [598, 720, 722, 900], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [721, 725, 855, 916], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [850, 742, 1000, 931], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [800, 576, 950, 761], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [855, 421, 999, 594], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [803, 259, 956, 434], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [860, 78, 999, 267], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [724, 92, 865, 289], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [599, 115, 725, 300], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [475, 132, 605, 305], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [361, 147, 488, 308], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [254, 159, 381, 315], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [153, 171, 275, 323], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [122, 312, 236, 456], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [219, 307, 336, 453], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [321, 297, 444, 447], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [433, 294, 557, 447], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [552, 282, 677, 443], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [674, 273, 801, 436], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [721, 428, 855, 595], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [598, 431, 720, 593], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [479, 432, 601, 588], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [368, 434, 489, 586], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [264, 437, 380, 586], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [166, 441, 278, 586], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [128, 573, 240, 715], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [224, 571, 341, 718], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [325, 573, 447, 726], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [435, 572, 559, 730], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [549, 572, 671, 740], \"label\": \"empty portable gas cylinder\"},\n {\"box_2d\": [673, 575, 799, 750], \"label\": \"empty portable gas cylinder\"}\n]\n```", "correct": false, "input_tokens": 1208, "output_tokens": 1486, "elapsed_seconds": 16.918042290955782, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 40, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.4615024924278259, "attempts": 1, "retries": 0, "total_seconds": 17.0376}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 181, "image": "20230113_134921_jpg.rf.98498c853848c0b93af6274d6758c4d5.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [520, 801, 537, 881], \"label\": \"crack\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 46, "elapsed_seconds": 3.619081500102766, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 3.6392}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 182, "image": "IMG_0618_jpeg.rf.efa7b9f1261718cff400e2cf104b3017.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [276, 460, 336, 526], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [357, 395, 429, 458], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [343, 577, 419, 624], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [436, 521, 517, 583], \"label\": \"caramel corn jelly bean\"},\n {\"box_2d\": [375, 239, 441, 307], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [485, 346, 573, 408], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [499, 205, 588, 255], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [612, 244, 681, 326], \"label\": \"peach jelly bean\"},\n {\"box_2d\": [616, 402, 712, 472], \"label\": \"peach jelly bean\"},\n {\"box_2d\": [451, 694, 521, 771], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [607, 627, 712, 681], \"label\": \"top banana jelly bean\"}\n]\n```", "correct": true, "input_tokens": 1230, "output_tokens": 428, "elapsed_seconds": 21.41921550000552, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 21.4665}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 183, "image": "1668146875__jpg.rf.3051c36c0a756d3687be5c2fb0ad5141.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [572, 169, 622, 198], \"label\": \"four die\"},\n {\"box_2d\": [437, 217, 494, 249], \"label\": \"three die\"},\n {\"box_2d\": [230, 272, 290, 304], \"label\": \"six die\"},\n {\"box_2d\": [219, 297, 276, 329], \"label\": \"six die\"},\n {\"box_2d\": [199, 348, 259, 381], \"label\": \"four die\"},\n {\"box_2d\": [100, 362, 159, 395], \"label\": \"six die\"},\n {\"box_2d\": [112, 404, 172, 437], \"label\": \"two die\"},\n {\"box_2d\": [181, 389, 241, 420], \"label\": \"two die\"},\n {\"box_2d\": [181, 435, 243, 468], \"label\": \"six die\"},\n {\"box_2d\": [270, 301, 329, 333], \"label\": \"four die\"},\n {\"box_2d\": [301, 325, 353, 353], \"label\": \"four die\"},\n {\"box_2d\": [339, 301, 389, 329], \"label\": \"five die\"},\n {\"box_2d\": [387, 311, 437, 338], \"label\": \"five die\"},\n {\"box_2d\": [349, 338, 396, 363], \"label\": \"four die\"},\n {\"box_2d\": [298, 350, 348, 375], \"label\": \"six die\"},\n {\"box_2d\": [292, 372, 342, 400], \"label\": \"three die\"},\n {\"box_2d\": [338, 366, 389, 395], \"label\": \"four die\"},\n {\"box_2d\": [280, 395, 331, 424], \"label\": \"two die\"},\n {\"box_2d\": [410, 340, 466, 372], \"label\": \"two die\"},\n {\"box_2d\": [513, 389, 571, 421], \"label\": \"five die\"},\n {\"box_2d\": [586, 381, 645, 412], \"label\": \"two die\"},\n {\"box_2d\": [530, 450, 589, 483], \"label\": \"three die\"},\n {\"box_2d\": [412, 492, 464, 522], \"label\": \"five die\"},\n {\"box_2d\": [361, 540, 417, 573], \"label\": \"two die\"},\n {\"box_2d\": [291, 517, 352, 550], \"label\": \"six die\"},\n {\"box_2d\": [767, 324, 818, 353], \"label\": \"six die\"},\n {\"box_2d\": [816, 314, 868, 343], \"label\": \"five die\"},\n {\"box_2d\": [845, 373, 901, 401], \"label\": \"six die\"},\n {\"box_2d\": [820, 426, 879, 459], \"label\": \"five die\"},\n {\"box_2d\": [757, 440, 804, 466], \"label\": \"five die\"},\n {\"box_2d\": [706, 441, 757, 470], \"label\": \"four die\"},\n {\"box_2d\": [649, 471, 704, 502], \"label\": \"six die\"},\n {\"box_2d\": [682, 495, 740, 528], \"label\": \"six die\"},\n {\"box_2d\": [640, 514, 696, 546], \"label\": \"two die\"},\n {\"box_2d\": [588, 531, 636, 558], \"label\": \"five die\"},\n {\"box_2d\": [398, 649, 444, 675], \"label\": \"four die\"},\n {\"box_2d\": [340, 683, 396, 715], \"label\": \"two die\"},\n {\"box_2d\": [256, 715, 314, 748], \"label\": \"three die\"},\n {\"box_2d\": [200, 764, 250, 793], \"label\": \"one die\"},\n {\"box_2d\": [147, 780, 198, 809], \"label\": \"three die\"},\n {\"box_2d\": [32, 674, 92, 707], \"label\": \"four die\"},\n {\"box_2d\": [364, 772, 413, 802], \"label\": \"three die\"},\n {\"box_2d\": [393, 748, 451, 781], \"label\": \"one die\"},\n {\"box_2d\": [449, 757, 496, 785], \"label\": \"four die\"},\n {\"box_2d\": [495, 757, 543, 786], \"label\": \"four die\"},\n {\"box_2d\": [438, 807, 491, 839], \"label\": \"six die\"},\n {\"box_2d\": [666, 793, 722, 826], \"label\": \"three die\"}\n]\n```", "correct": false, "input_tokens": 1252, "output_tokens": 1655, "elapsed_seconds": 37.77398012496997, "metadata": {"match_method": "map", "num_predictions": 47, "num_ground_truth": 48, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7626146674156189, "attempts": 1, "retries": 0, "total_seconds": 37.8322}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 184, "image": "C440AC87-A6AC-47BA-9CB8-2E8D0B276501_jpg.rf.8b0f079f1f23f56b5c9934be046152df.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [793, 60, 884, 152], \"label\": \"pill\"},\n {\"box_2d\": [702, 161, 789, 248], \"label\": \"pill\"},\n {\"box_2d\": [781, 219, 871, 310], \"label\": \"pill\"},\n {\"box_2d\": [689, 245, 777, 331], \"label\": \"pill\"},\n {\"box_2d\": [720, 320, 809, 408], \"label\": \"pill\"},\n {\"box_2d\": [723, 497, 811, 582], \"label\": \"pill\"},\n {\"box_2d\": [811, 479, 902, 567], \"label\": \"pill\"},\n {\"box_2d\": [771, 571, 862, 658], \"label\": \"pill\"},\n {\"box_2d\": [705, 620, 792, 706], \"label\": \"pill\"},\n {\"box_2d\": [699, 703, 786, 789], \"label\": \"pill\"},\n {\"box_2d\": [693, 783, 780, 870], \"label\": \"pill\"},\n {\"box_2d\": [581, 677, 665, 763], \"label\": \"pill\"},\n {\"box_2d\": [587, 520, 670, 603], \"label\": \"pill\"},\n {\"box_2d\": [602, 437, 686, 520], \"label\": \"pill\"},\n {\"box_2d\": [573, 355, 657, 437], \"label\": \"pill\"},\n {\"box_2d\": [542, 283, 625, 365], \"label\": \"pill\"},\n {\"box_2d\": [465, 162, 547, 245], \"label\": \"pill\"},\n {\"box_2d\": [480, 239, 561, 321], \"label\": \"pill\"},\n {\"box_2d\": [474, 320, 554, 401], \"label\": \"pill\"},\n {\"box_2d\": [415, 276, 494, 356], \"label\": \"pill\"},\n {\"box_2d\": [413, 364, 491, 443], \"label\": \"pill\"},\n {\"box_2d\": [438, 435, 517, 513], \"label\": \"pill\"},\n {\"box_2d\": [508, 514, 588, 595], \"label\": \"pill\"},\n {\"box_2d\": [430, 523, 509, 600], \"label\": \"pill\"},\n {\"box_2d\": [476, 583, 556, 663], \"label\": \"pill\"},\n {\"box_2d\": [430, 648, 509, 730], \"label\": \"pill\"},\n {\"box_2d\": [375, 704, 452, 785], \"label\": \"pill\"},\n {\"box_2d\": [307, 689, 382, 766], \"label\": \"pill\"},\n {\"box_2d\": [316, 616, 392, 692], \"label\": \"pill\"},\n {\"box_2d\": [361, 545, 437, 621], \"label\": \"pill\"},\n {\"box_2d\": [291, 548, 365, 623], \"label\": \"pill\"},\n {\"box_2d\": [298, 456, 374, 531], \"label\": \"pill\"},\n {\"box_2d\": [354, 406, 430, 483], \"label\": \"pill\"},\n {\"box_2d\": [357, 321, 434, 399], \"label\": \"pill\"},\n {\"box_2d\": [306, 273, 382, 352], \"label\": \"pill\"},\n {\"box_2d\": [244, 306, 319, 382], \"label\": \"pill\"},\n {\"box_2d\": [162, 369, 236, 443], \"label\": \"pill\"},\n {\"box_2d\": [164, 249, 238, 324], \"label\": \"pill\"},\n {\"box_2d\": [229, 167, 305, 246], \"label\": \"pill\"},\n {\"box_2d\": [327, 123, 405, 205], \"label\": \"pill\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 1371, "elapsed_seconds": 48.76311404199805, "metadata": {"match_method": "map", "num_predictions": 40, "num_ground_truth": 40, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 49.3838}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 185, "image": "preannot3_62_png.rf.0c5f5d9500c1d4c579c64d746f68b358.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [757, 240, 780, 274], \"label\": \"tire spike normal\"},\n {\"box_2d\": [704, 309, 731, 353], \"label\": \"tire spike normal\"},\n {\"box_2d\": [613, 259, 641, 301], \"label\": \"tire spike normal\"},\n {\"box_2d\": [556, 319, 585, 365], \"label\": \"tire spike normal\"},\n {\"box_2d\": [438, 211, 470, 255], \"label\": \"tire spike normal\"},\n {\"box_2d\": [360, 198, 391, 232], \"label\": \"tire spike absent\"},\n {\"box_2d\": [288, 232, 322, 277], \"label\": \"tire spike normal\"},\n {\"box_2d\": [232, 297, 259, 342], \"label\": \"tire spike normal\"},\n {\"box_2d\": [146, 235, 169, 272], \"label\": \"tire spike normal\"},\n {\"box_2d\": [88, 296, 108, 331], \"label\": \"tire spike normal\"},\n {\"box_2d\": [68, 619, 86, 650], \"label\": \"tire spike normal\"},\n {\"box_2d\": [107, 687, 130, 720], \"label\": \"tire spike normal\"},\n {\"box_2d\": [179, 648, 200, 684], \"label\": \"tire spike normal\"},\n {\"box_2d\": [248, 691, 279, 732], \"label\": \"tire spike normal\"},\n {\"box_2d\": [319, 738, 342, 774], \"label\": \"tire spike absent\"},\n {\"box_2d\": [391, 761, 421, 797], \"label\": \"tire spike normal\"},\n {\"box_2d\": [497, 646, 533, 689], \"label\": \"tire spike normal\"},\n {\"box_2d\": [566, 688, 597, 732], \"label\": \"tire spike normal\"},\n {\"box_2d\": [674, 628, 703, 672], \"label\": \"tire spike normal\"},\n {\"box_2d\": [703, 745, 732, 788], \"label\": \"tire spike normal\"},\n {\"box_2d\": [797, 667, 822, 705], \"label\": \"tire spike normal\"},\n {\"box_2d\": [852, 718, 875, 750], \"label\": \"tire spike normal\"},\n {\"box_2d\": [896, 286, 916, 320], \"label\": \"tire spike normal\"}\n]\n```", "correct": false, "input_tokens": 1206, "output_tokens": 837, "elapsed_seconds": 18.73565712501295, "metadata": {"match_method": "map", "num_predictions": 23, "num_ground_truth": 32, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.03223714977502823, "attempts": 1, "retries": 0, "total_seconds": 18.8152}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 186, "image": "floorplan-windows-doors_10035_png.rf.4ea81a436186bba253c43df724f8ab26.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [777, 487, 895, 558], \"label\": \"door\"},\n {\"box_2d\": [749, 594, 780, 675], \"label\": \"window\"},\n {\"box_2d\": [750, 773, 780, 836], \"label\": \"window\"},\n {\"box_2d\": [750, 330, 780, 409], \"label\": \"window\"},\n {\"box_2d\": [468, 396, 540, 445], \"label\": \"door\"},\n {\"box_2d\": [462, 311, 519, 346], \"label\": \"door\"},\n {\"box_2d\": [291, 310, 349, 346], \"label\": \"door\"},\n {\"box_2d\": [266, 396, 338, 445], \"label\": \"door\"},\n {\"box_2d\": [384, 440, 452, 489], \"label\": \"door\"},\n {\"box_2d\": [562, 677, 634, 726], \"label\": \"door\"},\n {\"box_2d\": [540, 765, 614, 814], \"label\": \"door\"},\n {\"box_2d\": [592, 828, 661, 868], \"label\": \"door\"},\n {\"box_2d\": [614, 922, 691, 974], \"label\": \"door\"},\n {\"box_2d\": [319, 916, 417, 936], \"label\": \"window\"},\n {\"box_2d\": [395, 765, 462, 815], \"label\": \"door\"},\n {\"box_2d\": [217, 677, 289, 725], \"label\": \"door\"},\n {\"box_2d\": [7, 772, 37, 851], \"label\": \"window\"},\n {\"box_2d\": [7, 587, 36, 667], \"label\": \"window\"},\n {\"box_2d\": [7, 502, 36, 581], \"label\": \"window\"},\n {\"box_2d\": [7, 348, 36, 426], \"label\": \"window\"},\n {\"box_2d\": [7, 132, 37, 192], \"label\": \"window\"},\n {\"box_2d\": [217, 184, 297, 239], \"label\": \"door\"}\n]\n```", "correct": true, "input_tokens": 1245, "output_tokens": 745, "elapsed_seconds": 11.701234332984313, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 22, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9249809384346008, "attempts": 1, "retries": 0, "total_seconds": 11.7531}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 187, "image": "IMG_6647_jpeg_jpg.rf.c9080c42346e2e5efd9c896163bdce7e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [562, 470, 668, 678], \"label\": \"white poker chip\"},\n {\"box_2d\": [548, 473, 649, 678], \"label\": \"white poker chip\"},\n {\"box_2d\": [537, 480, 634, 678], \"label\": \"white poker chip\"},\n {\"box_2d\": [533, 479, 622, 696], \"label\": \"white poker chip\"},\n {\"box_2d\": [508, 482, 603, 691], \"label\": \"white poker chip\"},\n {\"box_2d\": [498, 488, 586, 699], \"label\": \"white poker chip\"},\n {\"box_2d\": [490, 488, 568, 709], \"label\": \"white poker chip\"},\n {\"box_2d\": [451, 486, 548, 712], \"label\": \"white poker chip\"},\n {\"box_2d\": [454, 502, 529, 718], \"label\": \"white poker chip\"},\n {\"box_2d\": [441, 503, 507, 723], \"label\": \"white poker chip\"},\n {\"box_2d\": [408, 500, 488, 724], \"label\": \"white poker chip\"},\n {\"box_2d\": [378, 498, 466, 724], \"label\": \"white poker chip\"},\n {\"box_2d\": [376, 514, 444, 738], \"label\": \"white poker chip\"},\n {\"box_2d\": [366, 514, 425, 747], \"label\": \"white poker chip\"},\n {\"box_2d\": [332, 514, 401, 745], \"label\": \"white poker chip\"},\n {\"box_2d\": [315, 518, 379, 753], \"label\": \"white poker chip\"},\n {\"box_2d\": [306, 527, 357, 765], \"label\": \"white poker chip\"},\n {\"box_2d\": [278, 517, 332, 758], \"label\": \"white poker chip\"},\n {\"box_2d\": [256, 512, 305, 750], \"label\": \"white poker chip\"},\n {\"box_2d\": [221, 506, 281, 747], \"label\": \"white poker chip\"},\n {\"box_2d\": [572, 261, 652, 462], \"label\": \"white poker chip\"},\n {\"box_2d\": [562, 267, 628, 462], \"label\": \"white poker chip\"},\n {\"box_2d\": [546, 267, 611, 465], \"label\": \"white poker chip\"},\n {\"box_2d\": [480, 267, 593, 470], \"label\": \"white poker chip\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 876, "elapsed_seconds": 13.22398675000295, "metadata": {"match_method": "map", "num_predictions": 24, "num_ground_truth": 24, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9216171503067017, "attempts": 1, "retries": 0, "total_seconds": 13.2497}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 188, "image": "IMG_20220316_141641_jpg.rf.2b5b442678a6dd37dce39460868771a9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [547, 344, 960, 695], \"label\": \"king of spades\"},\n {\"box_2d\": [146, 565, 531, 868], \"label\": \"queen of spades\"},\n {\"box_2d\": [193, 98, 581, 422], \"label\": \"jack of spades\"},\n {\"box_2d\": [143, 333, 528, 654], \"label\": \"ten of spades\"},\n {\"box_2d\": [449, 29, 882, 398], \"label\": \"nine of spades\"}\n]\n```", "correct": true, "input_tokens": 1218, "output_tokens": 190, "elapsed_seconds": 10.720732084009796, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 10.7521}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 189, "image": "img_460975841708081304_png.rf.71eaf0b919ddab2a648aa76c72cc4a00.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [826, 859, 1000, 1000], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [825, 731, 999, 882], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [819, 591, 999, 742], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [822, 449, 1000, 596], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [821, 297, 999, 441], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [822, 124, 1000, 290], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [816, 1, 999, 134], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [661, 821, 845, 956], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [659, 697, 847, 838], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [647, 577, 840, 711], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [644, 449, 839, 579], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [639, 314, 838, 444], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [638, 163, 841, 307], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [620, 0, 828, 159], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [468, 46, 650, 187], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [485, 191, 667, 320], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [497, 326, 664, 443], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [504, 452, 665, 566], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [510, 567, 678, 684], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [521, 678, 687, 798], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [528, 787, 689, 908], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [420, 761, 562, 868], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [410, 660, 551, 768], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [397, 556, 543, 662], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [385, 451, 526, 554], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [377, 339, 523, 444], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [365, 217, 513, 333], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [345, 88, 504, 214], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [242, 119, 391, 234], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [160, 146, 294, 249], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [178, 252, 304, 348], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [264, 237, 405, 344], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [277, 346, 408, 444], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [189, 353, 308, 444], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [202, 447, 319, 537], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [288, 450, 412, 546], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [300, 548, 428, 644], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [217, 539, 336, 631], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [230, 628, 346, 718], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [311, 642, 439, 741], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [323, 736, 450, 833], \"label\": \"full portable gas cylinder\"},\n {\"box_2d\": [241, 714, 357, 804], \"label\": \"full portable gas cylinder\"}\n]\n```", "correct": true, "input_tokens": 1203, "output_tokens": 1564, "elapsed_seconds": 20.39944062498398, "metadata": {"match_method": "map", "num_predictions": 42, "num_ground_truth": 42, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 20.518}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 190, "image": "0000242_03668_d_0000012_jpg.rf.06096e6f084464419e172f0d35ca4d48.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [777, 157, 964, 227], \"label\": \"car\"},\n {\"box_2d\": [603, 621, 1000, 770], \"label\": \"bus\"},\n {\"box_2d\": [557, 689, 631, 742], \"label\": \"car\"},\n {\"box_2d\": [448, 488, 535, 521], \"label\": \"car\"},\n {\"box_2d\": [453, 320, 550, 360], \"label\": \"car\"},\n {\"box_2d\": [422, 177, 455, 216], \"label\": \"tricycle\"},\n {\"box_2d\": [400, 106, 433, 134], \"label\": \"motorcycle\"},\n {\"box_2d\": [396, 42, 437, 96], \"label\": \"tricycle\"},\n {\"box_2d\": [353, 111, 405, 184], \"label\": \"car\"},\n {\"box_2d\": [307, 241, 368, 302], \"label\": \"car\"},\n {\"box_2d\": [274, 59, 333, 103], \"label\": \"van\"},\n {\"box_2d\": [248, 511, 301, 537], \"label\": \"car\"},\n {\"box_2d\": [224, 306, 287, 338], \"label\": \"car\"},\n {\"box_2d\": [311, 715, 357, 779], \"label\": \"car\"},\n {\"box_2d\": [375, 864, 431, 905], \"label\": \"car\"},\n {\"box_2d\": [135, 543, 179, 566], \"label\": \"car\"},\n {\"box_2d\": [31, 480, 62, 496], \"label\": \"car\"},\n {\"box_2d\": [133, 521, 161, 534], \"label\": \"tricycle\"},\n {\"box_2d\": [231, 860, 266, 876], \"label\": \"tricycle\"},\n {\"box_2d\": [409, 192, 444, 206], \"label\": \"person\"},\n {\"box_2d\": [390, 111, 424, 125], \"label\": \"person\"},\n {\"box_2d\": [390, 68, 425, 82], \"label\": \"person\"}\n]\n```", "correct": false, "input_tokens": 1253, "output_tokens": 758, "elapsed_seconds": 11.51716591604054, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 41, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.4513201117515564, "attempts": 1, "retries": 0, "total_seconds": 11.5525}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 191, "image": "DJI_20230529111835_0160_T_JPG_jpg.rf.cb5b9a9d87fdc7c9ff407eb5530abb88.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [92, 608, 191, 653], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [98, 530, 195, 572], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [102, 488, 197, 531], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [103, 447, 198, 492], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [445, 589, 542, 633], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [450, 508, 545, 550], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [361, 384, 455, 427], \"label\": \"solar panel hot spot\"},\n {\"box_2d\": [425, 961, 522, 1000], \"label\": \"solar panel hot spot\"}\n]\n```", "correct": false, "input_tokens": 1228, "output_tokens": 307, "elapsed_seconds": 9.345956249977462, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 12, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 9.3689}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 192, "image": "oil-tank-detection_oiltank_72_jpg.rf.bfd5af54297ea9f409419db50cd04705.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [235, 281, 353, 412], \"label\": \"oil tank\"},\n {\"box_2d\": [345, 336, 466, 471], \"label\": \"oil tank\"},\n {\"box_2d\": [343, 461, 463, 594], \"label\": \"oil tank\"},\n {\"box_2d\": [461, 396, 588, 535], \"label\": \"oil tank\"},\n {\"box_2d\": [585, 459, 718, 603], \"label\": \"oil tank\"},\n {\"box_2d\": [678, 236, 818, 382], \"label\": \"oil tank\"},\n {\"box_2d\": [566, 184, 697, 323], \"label\": \"oil tank\"},\n {\"box_2d\": [460, 136, 581, 272], \"label\": \"oil tank\"},\n {\"box_2d\": [551, 0, 675, 135], \"label\": \"oil tank\"},\n {\"box_2d\": [661, 41, 795, 184], \"label\": \"oil tank\"},\n {\"box_2d\": [781, 90, 922, 234], \"label\": \"oil tank\"}\n]\n```", "correct": true, "input_tokens": 1217, "output_tokens": 393, "elapsed_seconds": 11.59985975001473, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 11.68}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 193, "image": "fall-detection_11_mp4-445_jpg.rf.ec9538d8514a0521c6f155cde47497f3.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [500, 611, 567, 712], \"label\": \"fallen person\"},\n {\"box_2d\": [489, 825, 536, 948], \"label\": \"fallen person\"},\n {\"box_2d\": [686, 222, 781, 369], \"label\": \"fallen person\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 117, "elapsed_seconds": 3.066887916997075, "metadata": {"match_method": "map", "num_predictions": 3, "num_ground_truth": 3, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 3.0843}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 194, "image": "IMG_0619_jpeg.rf.c3c23da72f8dbeb2815ccc4646178889.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [266, 309, 349, 376], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [260, 479, 330, 542], \"label\": \"mixed berry smoothie jelly bean\"},\n {\"box_2d\": [320, 545, 409, 608], \"label\": \"caramel corn jelly bean\"},\n {\"box_2d\": [347, 749, 434, 839], \"label\": \"top banana jelly bean\"},\n {\"box_2d\": [347, 360, 447, 422], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [482, 185, 610, 278], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [623, 344, 756, 475], \"label\": \"tutti-fruitti jelly bean\"},\n {\"box_2d\": [600, 578, 749, 675], \"label\": \"peach jelly bean\"},\n {\"box_2d\": [453, 495, 570, 577], \"label\": \"juicy pear jelly bean\"},\n {\"box_2d\": [484, 676, 573, 788], \"label\": \"peach jelly bean\"},\n {\"box_2d\": [254, 639, 323, 701], \"label\": \"mixed berry smoothie jelly bean\"}\n]\n```", "correct": true, "input_tokens": 1230, "output_tokens": 428, "elapsed_seconds": 35.084058917011134, "metadata": {"match_method": "map", "num_predictions": 11, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 35.1412}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 195, "image": "GP010243_JPG_jpg.rf.64d32b7106e99e9f954d84ee868d21ec.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [58, 353, 250, 386], \"label\": \"carrot\"},\n {\"box_2d\": [88, 388, 217, 459], \"label\": \"carrot\"},\n {\"box_2d\": [161, 392, 300, 444], \"label\": \"carrot\"},\n {\"box_2d\": [166, 372, 311, 417], \"label\": \"carrot\"},\n {\"box_2d\": [134, 470, 319, 570], \"label\": \"carrot\"},\n {\"box_2d\": [92, 445, 223, 500], \"label\": \"carrot\"},\n {\"box_2d\": [89, 497, 180, 616], \"label\": \"carrot\"},\n {\"box_2d\": [130, 566, 330, 606], \"label\": \"carrot\"},\n {\"box_2d\": [147, 523, 219, 681], \"label\": \"carrot\"},\n {\"box_2d\": [158, 622, 294, 686], \"label\": \"carrot\"},\n {\"box_2d\": [217, 611, 364, 691], \"label\": \"carrot\"},\n {\"box_2d\": [230, 614, 389, 706], \"label\": \"carrot\"},\n {\"box_2d\": [280, 678, 422, 708], \"label\": \"carrot\"},\n {\"box_2d\": [259, 473, 405, 608], \"label\": \"carrot\"},\n {\"box_2d\": [270, 450, 475, 488], \"label\": \"carrot\"},\n {\"box_2d\": [291, 484, 422, 509], \"label\": \"carrot\"},\n {\"box_2d\": [283, 344, 381, 453], \"label\": \"carrot\"},\n {\"box_2d\": [341, 408, 522, 442], \"label\": \"carrot\"},\n {\"box_2d\": [370, 392, 541, 417], \"label\": \"carrot\"},\n {\"box_2d\": [433, 344, 589, 395], \"label\": \"carrot\"},\n {\"box_2d\": [525, 341, 575, 473], \"label\": \"carrot\"},\n {\"box_2d\": [612, 384, 728, 444], \"label\": \"carrot\"},\n {\"box_2d\": [625, 386, 756, 544], \"label\": \"carrot\"},\n {\"box_2d\": [609, 472, 650, 652], \"label\": \"carrot\"},\n {\"box_2d\": [581, 484, 614, 686], \"label\": \"carrot\"},\n {\"box_2d\": [498, 422, 536, 572], \"label\": \"carrot\"},\n {\"box_2d\": [472, 425, 498, 573], \"label\": \"carrot\"},\n {\"box_2d\": [373, 558, 484, 683], \"label\": \"carrot\"},\n {\"box_2d\": [397, 489, 453, 631], \"label\": \"carrot\"},\n {\"box_2d\": [347, 597, 509, 623], \"label\": \"carrot\"},\n {\"box_2d\": [423, 567, 519, 605], \"label\": \"carrot\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 1062, "elapsed_seconds": 12.87542116700206, "metadata": {"match_method": "map", "num_predictions": 31, "num_ground_truth": 31, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 12.9056}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 196, "image": "AF6880-9_2025_NCPT-169_JPG_jpg.rf.ea0bce7069f12d5c1ba29710a0998228.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [58, 190, 146, 227], \"label\": \"potato\"},\n {\"box_2d\": [13, 238, 79, 265], \"label\": \"potato\"},\n {\"box_2d\": [79, 238, 147, 267], \"label\": \"potato\"},\n {\"box_2d\": [146, 233, 223, 266], \"label\": \"potato\"},\n {\"box_2d\": [32, 286, 89, 307], \"label\": \"potato\"},\n {\"box_2d\": [59, 320, 155, 355], \"label\": \"potato\"},\n {\"box_2d\": [9, 371, 86, 401], \"label\": \"potato\"},\n {\"box_2d\": [94, 369, 161, 399], \"label\": \"potato\"},\n {\"box_2d\": [163, 371, 235, 398], \"label\": \"potato\"},\n {\"box_2d\": [72, 412, 142, 443], \"label\": \"potato\"},\n {\"box_2d\": [142, 408, 250, 449], \"label\": \"potato\"},\n {\"box_2d\": [227, 361, 276, 383], \"label\": \"potato\"},\n {\"box_2d\": [277, 358, 390, 404], \"label\": \"potato\"},\n {\"box_2d\": [250, 275, 347, 311], \"label\": \"potato\"},\n {\"box_2d\": [400, 234, 460, 261], \"label\": \"potato\"},\n {\"box_2d\": [322, 321, 425, 360], \"label\": \"potato\"},\n {\"box_2d\": [427, 276, 517, 308], \"label\": \"potato\"},\n {\"box_2d\": [525, 275, 616, 311], \"label\": \"potato\"},\n {\"box_2d\": [641, 273, 728, 306], \"label\": \"potato\"},\n {\"box_2d\": [670, 231, 748, 262], \"label\": \"potato\"},\n {\"box_2d\": [728, 275, 804, 303], \"label\": \"potato\"},\n {\"box_2d\": [454, 320, 533, 349], \"label\": \"potato\"},\n {\"box_2d\": [590, 317, 670, 350], \"label\": \"potato\"},\n {\"box_2d\": [389, 365, 473, 397], \"label\": \"potato\"},\n {\"box_2d\": [473, 360, 574, 399], \"label\": \"potato\"},\n {\"box_2d\": [248, 410, 343, 444], \"label\": \"potato\"},\n {\"box_2d\": [341, 413, 395, 437], \"label\": \"potato\"},\n {\"box_2d\": [398, 400, 495, 440], \"label\": \"potato\"},\n {\"box_2d\": [504, 401, 612, 437], \"label\": \"potato\"},\n {\"box_2d\": [5, 454, 108, 497], \"label\": \"potato\"},\n {\"box_2d\": [110, 454, 206, 489], \"label\": \"potato\"},\n {\"box_2d\": [206, 452, 290, 489], \"label\": \"potato\"},\n {\"box_2d\": [288, 446, 363, 478], \"label\": \"potato\"},\n {\"box_2d\": [363, 448, 463, 489], \"label\": \"potato\"},\n {\"box_2d\": [51, 501, 134, 536], \"label\": \"potato\"},\n {\"box_2d\": [134, 502, 212, 531], \"label\": \"potato\"},\n {\"box_2d\": [213, 503, 279, 529], \"label\": \"potato\"},\n {\"box_2d\": [279, 500, 376, 537], \"label\": \"potato\"},\n {\"box_2d\": [228, 543, 313, 573], \"label\": \"potato\"},\n {\"box_2d\": [77, 586, 168, 620], \"label\": \"potato\"},\n {\"box_2d\": [237, 581, 351, 620], \"label\": \"potato\"},\n {\"box_2d\": [383, 536, 483, 580], \"label\": \"potato\"},\n {\"box_2d\": [485, 493, 597, 540], \"label\": \"potato\"},\n {\"box_2d\": [514, 451, 589, 483], \"label\": \"potato\"},\n {\"box_2d\": [606, 446, 692, 483], \"label\": \"potato\"},\n {\"box_2d\": [655, 401, 747, 440], \"label\": \"potato\"},\n {\"box_2d\": [661, 365, 728, 392], \"label\": \"potato\"},\n {\"box_2d\": [727, 355, 825, 398], \"label\": \"potato\"},\n {\"box_2d\": [825, 353, 927, 393], \"label\": \"potato\"},\n {\"box_2d\": [925, 360, 1000, 397], \"label\": \"potato\"},\n {\"box_2d\": [918, 314, 1000, 345], \"label\": \"potato\"},\n {\"box_2d\": [862, 398, 941, 434], \"label\": \"potato\"},\n {\"box_2d\": [937, 405, 1000, 434], \"label\": \"potato\"},\n {\"box_2d\": [764, 487, 856, 529], \"label\": \"potato\"},\n {\"box_2d\": [857, 492, 932, 520], \"label\": \"potato\"},\n {\"box_2d\": [931, 489, 1000, 524], \"label\": \"potato\"},\n {\"box_2d\": [562, 585, 633, 611], \"label\": \"potato\"},\n {\"box_2d\": [637, 582, 727, 610], \"label\": \"potato\"},\n {\"box_2d\": [6, 634, 94, 664], \"label\": \"potato\"},\n {\"box_2d\": [92, 633, 174, 670], \"label\": \"potato\"},\n {\"box_2d\": [174, 634, 234, 660], \"label\": \"potato\"},\n {\"box_2d\": [194, 671, 293, 707], \"label\": \"potato\"},\n {\"box_2d\": [420, 670, 513, 704], \"label\": \"potato\"},\n {\"box_2d\": [570, 670, 630, 695], \"label\": \"potato\"},\n {\"box_2d\": [821, 664, 913, 698], \"label\": \"potato\"},\n {\"box_2d\": [579, 752, 681, 790], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 2240, "elapsed_seconds": 120.09244762500748, "metadata": {"match_method": "map", "num_predictions": 66, "num_ground_truth": 67, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9801980257034302, "attempts": 1, "retries": 0, "total_seconds": 120.8039}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 197, "image": "frame_0086_jpg.rf.5ae0e80356e2c5bb993a052e5023c7f1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [111, 327, 152, 351], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [27, 340, 68, 362], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [29, 395, 67, 417], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [32, 452, 71, 474], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [37, 509, 75, 530], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [125, 500, 165, 524], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [117, 441, 158, 464], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [113, 383, 153, 406], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [654, 300, 703, 325], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [656, 362, 706, 386], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [669, 424, 718, 450], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [682, 489, 732, 514], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [797, 487, 847, 512], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [781, 421, 833, 447], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [769, 357, 821, 381], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [762, 297, 814, 320], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [881, 294, 926, 316], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [886, 355, 933, 378], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [900, 419, 946, 443], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [914, 483, 960, 508], \"label\": \"soda bottle cap\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 724, "elapsed_seconds": 54.27455191698391, "metadata": {"match_method": "map", "num_predictions": 20, "num_ground_truth": 20, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 54.8716}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 198, "image": "image_147_png_jpg.rf.fd3e0f5032b1ae386c027b1058ac751a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [117, 673, 405, 891], \"label\": \"tire size text\"},\n {\"box_2d\": [419, 86, 783, 211], \"label\": \"tire size text\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 83, "elapsed_seconds": 8.313853541971184, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 8.7565}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 199, "image": "fabric-defect_1080_jpg.rf.77a4ab03e25cfeeaaa1f6bbdcb3e7742.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [565, 489, 670, 743], \"label\": \"fabric cut\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 47, "elapsed_seconds": 10.862031874945387, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 10.8746}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 200, "image": "oil-tank-detection_oiltank_137_jpg.rf.be33343bf10652832014b855d080a80c.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [77, 459, 232, 591], \"label\": \"oil tank\"},\n {\"box_2d\": [227, 449, 382, 581], \"label\": \"oil tank\"},\n {\"box_2d\": [393, 443, 540, 575], \"label\": \"oil tank\"},\n {\"box_2d\": [540, 445, 686, 567], \"label\": \"oil tank\"},\n {\"box_2d\": [92, 592, 237, 725], \"label\": \"oil tank\"},\n {\"box_2d\": [237, 588, 391, 722], \"label\": \"oil tank\"},\n {\"box_2d\": [395, 584, 549, 717], \"label\": \"oil tank\"},\n {\"box_2d\": [553, 588, 695, 709], \"label\": \"oil tank\"},\n {\"box_2d\": [363, 722, 495, 835], \"label\": \"oil tank\"},\n {\"box_2d\": [229, 726, 360, 840], \"label\": \"oil tank\"},\n {\"box_2d\": [99, 728, 226, 839], \"label\": \"oil tank\"},\n {\"box_2d\": [117, 842, 196, 920], \"label\": \"oil tank\"},\n {\"box_2d\": [194, 839, 275, 920], \"label\": \"oil tank\"},\n {\"box_2d\": [274, 839, 358, 920], \"label\": \"oil tank\"},\n {\"box_2d\": [356, 840, 440, 921], \"label\": \"oil tank\"},\n {\"box_2d\": [438, 841, 527, 921], \"label\": \"oil tank\"},\n {\"box_2d\": [579, 843, 672, 919], \"label\": \"oil tank\"}\n]\n```", "correct": true, "input_tokens": 1217, "output_tokens": 604, "elapsed_seconds": 9.037301333039068, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 17, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 9.1166}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 201, "image": "basketball-player-detection_boston-celtics-new-york-knicks-game-1-q1-05-13-05-09-0000_png.rf.31fd4573143b8c82031c8804c4754e40.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [324, 198, 349, 213], \"label\": \"basketball\"},\n {\"box_2d\": [676, 631, 907, 678], \"label\": \"referee\"},\n {\"box_2d\": [729, 652, 745, 663], \"label\": \"jersey number\"},\n {\"box_2d\": [578, 466, 804, 531], \"label\": \"player\"},\n {\"box_2d\": [482, 483, 686, 529], \"label\": \"player\"},\n {\"box_2d\": [399, 224, 650, 275], \"label\": \"player\"},\n {\"box_2d\": [461, 243, 485, 251], \"label\": \"jersey number\"},\n {\"box_2d\": [357, 130, 610, 181], \"label\": \"player\"},\n {\"box_2d\": [306, 296, 489, 355], \"label\": \"player\"},\n {\"box_2d\": [291, 159, 456, 200], \"label\": \"player in possession\"},\n {\"box_2d\": [224, 9, 399, 69], \"label\": \"referee\"},\n {\"box_2d\": [196, 538, 377, 591], \"label\": \"player\"},\n {\"box_2d\": [250, 657, 456, 695], \"label\": \"player\"},\n {\"box_2d\": [294, 671, 314, 679], \"label\": \"jersey number\"},\n {\"box_2d\": [227, 560, 249, 567], \"label\": \"jersey number\"},\n {\"box_2d\": [211, 743, 376, 782], \"label\": \"referee\"},\n {\"box_2d\": [174, 667, 356, 704], \"label\": \"player\"},\n {\"box_2d\": [141, 533, 307, 564], \"label\": \"player\"},\n {\"box_2d\": [194, 712, 256, 750], \"label\": \"basket rim\"}\n]\n```", "correct": false, "input_tokens": 1250, "output_tokens": 665, "elapsed_seconds": 16.21457383292727, "metadata": {"match_method": "map", "num_predictions": 19, "num_ground_truth": 23, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6952694654464722, "attempts": 1, "retries": 0, "total_seconds": 16.3455}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 202, "image": "z4517190790071_c6f2ede212488ea95f254bbe631608fc_jpg.rf.f7f6570fcaaac50f965457b35ee9278d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [158, 351, 261, 505], \"label\": \"10 poker chip\"},\n {\"box_2d\": [229, 588, 339, 752], \"label\": \"50 poker chip\"},\n {\"box_2d\": [282, 241, 394, 404], \"label\": \"20 poker chip\"},\n {\"box_2d\": [293, 441, 406, 603], \"label\": \"20 poker chip\"},\n {\"box_2d\": [345, 772, 464, 945], \"label\": \"5000 poker chip\"},\n {\"box_2d\": [364, 103, 483, 274], \"label\": \"100 poker chip\"},\n {\"box_2d\": [422, 359, 545, 528], \"label\": \"20 poker chip\"},\n {\"box_2d\": [426, 607, 551, 783], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [549, 700, 688, 886], \"label\": \"500 poker chip\"},\n {\"box_2d\": [457, 187, 585, 362], \"label\": \"10 poker chip\"},\n {\"box_2d\": [549, 27, 686, 207], \"label\": \"50 poker chip\"},\n {\"box_2d\": [574, 249, 714, 431], \"label\": \"20 poker chip\"},\n {\"box_2d\": [526, 457, 662, 636], \"label\": \"20 poker chip\"},\n {\"box_2d\": [706, 397, 862, 591], \"label\": \"50 poker chip\"},\n {\"box_2d\": [693, 603, 846, 798], \"label\": \"50 poker chip\"}\n]\n```", "correct": true, "input_tokens": 1246, "output_tokens": 572, "elapsed_seconds": 43.262849665945396, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 43.5577}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 203, "image": "0000272_05500_d_0000012_jpg.rf.4ba2cfdc69b70f306855d444db49f509.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [774, 353, 850, 369], \"label\": \"person\"},\n {\"box_2d\": [715, 404, 780, 419], \"label\": \"person\"},\n {\"box_2d\": [749, 402, 800, 421], \"label\": \"bike\"},\n {\"box_2d\": [869, 456, 1000, 514], \"label\": \"car\"},\n {\"box_2d\": [617, 581, 731, 643], \"label\": \"car\"},\n {\"box_2d\": [595, 479, 737, 526], \"label\": \"car\"},\n {\"box_2d\": [420, 483, 516, 518], \"label\": \"car\"},\n {\"box_2d\": [420, 414, 474, 427], \"label\": \"person\"},\n {\"box_2d\": [284, 487, 361, 519], \"label\": \"car\"},\n {\"box_2d\": [490, 673, 550, 690], \"label\": \"person\"},\n {\"box_2d\": [430, 847, 460, 870], \"label\": \"motorcycle\"},\n {\"box_2d\": [280, 784, 323, 807], \"label\": \"tricycle\"},\n {\"box_2d\": [237, 809, 287, 819], \"label\": \"person\"},\n {\"box_2d\": [240, 799, 284, 809], \"label\": \"person\"},\n {\"box_2d\": [336, 610, 376, 622], \"label\": \"person\"},\n {\"box_2d\": [259, 567, 321, 588], \"label\": \"awning tricycle\"},\n {\"box_2d\": [231, 529, 283, 554], \"label\": \"car\"},\n {\"box_2d\": [174, 586, 220, 612], \"label\": \"car\"},\n {\"box_2d\": [186, 484, 250, 505], \"label\": \"van\"},\n {\"box_2d\": [206, 461, 240, 469], \"label\": \"person\"},\n {\"box_2d\": [134, 448, 169, 455], \"label\": \"person\"},\n {\"box_2d\": [26, 519, 57, 536], \"label\": \"car\"},\n {\"box_2d\": [7, 556, 33, 569], \"label\": \"car\"},\n {\"box_2d\": [36, 558, 70, 574], \"label\": \"car\"},\n {\"box_2d\": [77, 563, 107, 581], \"label\": \"car\"},\n {\"box_2d\": [199, 396, 236, 426], \"label\": \"car\"},\n {\"box_2d\": [296, 385, 344, 405], \"label\": \"tricycle\"},\n {\"box_2d\": [336, 384, 394, 402], \"label\": \"awning tricycle\"},\n {\"box_2d\": [109, 425, 160, 441], \"label\": \"car\"},\n {\"box_2d\": [59, 426, 120, 449], \"label\": \"truck\"},\n {\"box_2d\": [29, 434, 70, 452], \"label\": \"van\"},\n {\"box_2d\": [0, 460, 17, 474], \"label\": \"car\"}\n]\n```", "correct": false, "input_tokens": 1251, "output_tokens": 1091, "elapsed_seconds": 13.963226500083692, "metadata": {"match_method": "map", "num_predictions": 32, "num_ground_truth": 48, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.47019389271736145, "attempts": 1, "retries": 0, "total_seconds": 14.0297}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 204, "image": "IMG_20251126_160326_jpg.rf.31a216199c4280d746f5865a68a63ce2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [686, 33, 777, 103], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [664, 118, 950, 193], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [680, 241, 769, 310], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [658, 311, 767, 386], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [670, 382, 765, 450], \"label\": \"yellow standard price tag\"},\n {\"box_2d\": [666, 463, 761, 531], \"label\": \"white standard price tag\"},\n {\"box_2d\": [644, 591, 922, 667], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [657, 688, 756, 757], \"label\": \"white standard price tag\"},\n {\"box_2d\": [0, 475, 194, 553], \"label\": \"yellow large price tag\"},\n {\"box_2d\": [0, 628, 179, 710], \"label\": \"yellow large price tag\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 377, "elapsed_seconds": 11.75462962500751, "metadata": {"match_method": "map", "num_predictions": 10, "num_ground_truth": 10, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 12.172}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 205, "image": "54_jpg.rf.3f4031b98a1a0622e63a0c84142db646.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [46, 107, 121, 350], \"label\": \"blood sample tube\"},\n {\"box_2d\": [398, 106, 696, 243], \"label\": \"blood sample tube\"},\n {\"box_2d\": [309, 225, 631, 276], \"label\": \"blood sample tube\"},\n {\"box_2d\": [687, 117, 749, 360], \"label\": \"blood sample tube\"},\n {\"box_2d\": [40, 292, 326, 450], \"label\": \"blood sample tube\"},\n {\"box_2d\": [173, 318, 421, 514], \"label\": \"blood sample tube\"},\n {\"box_2d\": [376, 303, 684, 426], \"label\": \"blood sample tube\"},\n {\"box_2d\": [293, 370, 598, 496], \"label\": \"blood sample tube\"},\n {\"box_2d\": [410, 370, 710, 515], \"label\": \"blood sample tube\"},\n {\"box_2d\": [679, 415, 743, 660], \"label\": \"blood sample tube\"},\n {\"box_2d\": [332, 471, 614, 637], \"label\": \"blood sample tube\"},\n {\"box_2d\": [540, 553, 728, 787], \"label\": \"blood sample tube\"},\n {\"box_2d\": [510, 648, 692, 885], \"label\": \"blood sample tube\"},\n {\"box_2d\": [423, 615, 606, 850], \"label\": \"blood sample tube\"},\n {\"box_2d\": [189, 557, 464, 737], \"label\": \"blood sample tube\"},\n {\"box_2d\": [231, 642, 506, 825], \"label\": \"blood sample tube\"},\n {\"box_2d\": [46, 451, 240, 676], \"label\": \"blood sample tube\"},\n {\"box_2d\": [18, 542, 95, 787], \"label\": \"blood sample tube\"},\n {\"box_2d\": [70, 650, 378, 787], \"label\": \"blood sample tube\"},\n {\"box_2d\": [48, 782, 375, 835], \"label\": \"blood sample tube\"},\n {\"box_2d\": [154, 828, 482, 879], \"label\": \"blood sample tube\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 761, "elapsed_seconds": 9.241486208047718, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 21, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 9.2723}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 206, "image": "car-part-detection_Car-damages-100_png_jpg.rf.662e4c271efc89eea96c10e14886a134.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [224, 344, 366, 537], \"label\": \"front window\"},\n {\"box_2d\": [314, 322, 366, 344], \"label\": \"mirror\"},\n {\"box_2d\": [392, 124, 429, 160], \"label\": \"headlight\"},\n {\"box_2d\": [410, 102, 575, 181], \"label\": \"front bumper\"},\n {\"box_2d\": [323, 140, 389, 297], \"label\": \"hood\"},\n {\"box_2d\": [224, 300, 583, 537], \"label\": \"front door\"},\n {\"box_2d\": [224, 524, 594, 767], \"label\": \"back door\"},\n {\"box_2d\": [224, 551, 356, 759], \"label\": \"back window\"},\n {\"box_2d\": [427, 838, 608, 960], \"label\": \"back bumper\"},\n {\"box_2d\": [368, 879, 439, 954], \"label\": \"tail light\"}\n]\n```", "correct": false, "input_tokens": 1273, "output_tokens": 360, "elapsed_seconds": 6.215457333019003, "metadata": {"match_method": "map", "num_predictions": 10, "num_ground_truth": 13, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.666666567325592, "attempts": 1, "retries": 0, "total_seconds": 6.2343}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 207, "image": "11_jpeg_jpg.rf.39329fe23320cf7bc33af6b9a57582d1.jpg", "expected": "", "predicted": "```json\n[{\"box_2d\": [77, 259, 181, 339], \"label\": \"potato\"}, {\"box_2d\": [298, 34, 421, 134], \"label\": \"potato\"}, {\"box_2d\": [298, 346, 391, 434], \"label\": \"potato\"}, {\"box_2d\": [525, 229, 659, 316], \"label\": \"potato\"}, {\"box_2d\": [501, 202, 604, 305], \"label\": \"potato\"}, {\"box_2d\": [699, 323, 829, 432], \"label\": \"potato\"}, {\"box_2d\": [914, 315, 1000, 421], \"label\": \"potato\"}, {\"box_2d\": [489, 405, 593, 497], \"label\": \"potato\"}, {\"box_2d\": [653, 511, 820, 621], \"label\": \"potato\"}, {\"box_2d\": [503, 619, 593, 701], \"label\": \"potato\"}, {\"box_2d\": [88, 643, 181, 738], \"label\": \"potato\"}, {\"box_2d\": [503, 790, 602, 878], \"label\": \"potato\"}, {\"box_2d\": [712, 703, 811, 782], \"label\": \"potato\"}, {\"box_2d\": [705, 813, 807, 882], \"label\": \"potato\"}, {\"box_2d\": [899, 744, 1000, 839], \"label\": \"potato\"}]\n```", "correct": true, "input_tokens": 1240, "output_tokens": 488, "elapsed_seconds": 6.621769500081427, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8303630352020264, "attempts": 1, "retries": 0, "total_seconds": 6.6638}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 208, "image": "oil-tank-detection_oiltank_3_jpg.rf.be0eb144cee15c2f85755ead464dc286.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [105, 73, 232, 173], \"label\": \"oil tank\"},\n {\"box_2d\": [100, 229, 228, 330], \"label\": \"oil tank\"},\n {\"box_2d\": [278, 231, 409, 332], \"label\": \"oil tank\"},\n {\"box_2d\": [283, 73, 415, 174], \"label\": \"oil tank\"},\n {\"box_2d\": [269, 463, 402, 565], \"label\": \"oil tank\"},\n {\"box_2d\": [90, 459, 219, 559], \"label\": \"oil tank\"},\n {\"box_2d\": [84, 615, 213, 715], \"label\": \"oil tank\"},\n {\"box_2d\": [263, 622, 396, 723], \"label\": \"oil tank\"},\n {\"box_2d\": [540, 134, 629, 198], \"label\": \"oil tank\"},\n {\"box_2d\": [537, 226, 626, 290], \"label\": \"oil tank\"}\n]\n```", "correct": true, "input_tokens": 1217, "output_tokens": 358, "elapsed_seconds": 7.365525083034299, "metadata": {"match_method": "map", "num_predictions": 10, "num_ground_truth": 10, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 7.4399}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 209, "image": "tile_558_jpg.rf.98aa48e6c54062f1e67b01de665e6887.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [77, 880, 99, 922], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [311, 569, 336, 602], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [345, 248, 379, 323], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [623, 339, 665, 421], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [869, 152, 901, 226], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [602, 838, 621, 892], \"label\": \"ship in SAR satellite image\"}\n]\n```", "correct": true, "input_tokens": 1229, "output_tokens": 238, "elapsed_seconds": 5.124059958034195, "metadata": {"match_method": "map", "num_predictions": 6, "num_ground_truth": 6, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 5.1706}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 210, "image": "20230224_110122_jpg.rf.94c8b9d6caaec8593c315337e30857d7.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [589, 196, 650, 286], \"label\": \"crack\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 46, "elapsed_seconds": 2.9116061250679195, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 2.9269}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 211, "image": "IMG_20220316_144550_jpg.rf.92c6d74a9ccc9c6c90918613d40eb144.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [553, 171, 1000, 513], \"label\": \"five of hearts\"},\n {\"box_2d\": [444, 405, 892, 667], \"label\": \"seven of hearts\"},\n {\"box_2d\": [286, 514, 672, 684], \"label\": \"eight of hearts\"},\n {\"box_2d\": [244, 290, 646, 521], \"label\": \"six of hearts\"}\n]\n```", "correct": true, "input_tokens": 1214, "output_tokens": 157, "elapsed_seconds": 5.471691916114651, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 5.4935}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 212, "image": "wood-log-detection_006_png_jpg.rf.45786538ddac406dd0014f409b1d4caa.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [56, 448, 223, 534], \"label\": \"log cross-section\"},\n {\"box_2d\": [58, 550, 211, 631], \"label\": \"log cross-section\"},\n {\"box_2d\": [83, 622, 178, 678], \"label\": \"log cross-section\"},\n {\"box_2d\": [109, 648, 198, 712], \"label\": \"log cross-section\"},\n {\"box_2d\": [162, 677, 255, 780], \"label\": \"log cross-section\"},\n {\"box_2d\": [164, 616, 255, 684], \"label\": \"log cross-section\"},\n {\"box_2d\": [148, 558, 255, 620], \"label\": \"log cross-section\"},\n {\"box_2d\": [120, 475, 255, 552], \"label\": \"log cross-section\"},\n {\"box_2d\": [127, 552, 239, 594], \"label\": \"log cross-section\"},\n {\"box_2d\": [120, 595, 234, 642], \"label\": \"log cross-section\"},\n {\"box_2d\": [191, 448, 253, 483], \"label\": \"log cross-section\"},\n {\"box_2d\": [120, 389, 256, 456], \"label\": \"log cross-section\"},\n {\"box_2d\": [88, 294, 256, 420], \"label\": \"log cross-section\"},\n {\"box_2d\": [208, 323, 256, 369], \"label\": \"log cross-section\"},\n {\"box_2d\": [95, 200, 255, 344], \"label\": \"log cross-section\"},\n {\"box_2d\": [186, 241, 258, 319], \"label\": \"log cross-section\"}\n]\n```", "correct": false, "input_tokens": 1228, "output_tokens": 599, "elapsed_seconds": 17.78787724999711, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 17.8158}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 213, "image": "Container_864_jpg.rf.9627e6adc1ff8e75c7d8ca9f8cc06311.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [96, 604, 195, 619], \"label\": \"container ISO type code\"},\n {\"box_2d\": [113, 543, 391, 566], \"label\": \"shipping container number\"},\n {\"box_2d\": [199, 912, 232, 926], \"label\": \"shipping container number\"},\n {\"box_2d\": [219, 938, 250, 963], \"label\": \"shipping container number\"},\n {\"box_2d\": [248, 938, 275, 955], \"label\": \"container ISO type code\"}\n]\n```", "correct": true, "input_tokens": 1232, "output_tokens": 193, "elapsed_seconds": 26.77439129096456, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 2, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999998807907104, "attempts": 1, "retries": 0, "total_seconds": 26.7915}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 214, "image": "uav20221018_ixfZ_3857_14_png.rf.64d1ce8897202b1ab5141c12ebcde0db.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 159, 44, 224], \"label\": \"banana tree\"},\n {\"box_2d\": [88, 179, 132, 209], \"label\": \"banana tree\"},\n {\"box_2d\": [46, 250, 82, 275], \"label\": \"banana tree\"},\n {\"box_2d\": [173, 173, 213, 217], \"label\": \"banana tree\"},\n {\"box_2d\": [123, 250, 169, 286], \"label\": \"banana tree\"},\n {\"box_2d\": [213, 246, 253, 274], \"label\": \"banana tree\"},\n {\"box_2d\": [261, 178, 293, 206], \"label\": \"banana tree\"},\n {\"box_2d\": [311, 245, 344, 276], \"label\": \"banana tree\"},\n {\"box_2d\": [345, 173, 398, 225], \"label\": \"banana tree\"},\n {\"box_2d\": [431, 180, 482, 218], \"label\": \"banana tree\"},\n {\"box_2d\": [395, 255, 424, 285], \"label\": \"banana tree\"},\n {\"box_2d\": [472, 251, 520, 294], \"label\": \"banana tree\"},\n {\"box_2d\": [520, 183, 562, 220], \"label\": \"banana tree\"},\n {\"box_2d\": [562, 251, 610, 289], \"label\": \"banana tree\"},\n {\"box_2d\": [602, 181, 650, 228], \"label\": \"banana tree\"},\n {\"box_2d\": [685, 173, 738, 234], \"label\": \"banana tree\"},\n {\"box_2d\": [641, 249, 703, 294], \"label\": \"banana tree\"},\n {\"box_2d\": [731, 243, 785, 292], \"label\": \"banana tree\"},\n {\"box_2d\": [779, 178, 827, 231], \"label\": \"banana tree\"},\n {\"box_2d\": [864, 178, 920, 237], \"label\": \"banana tree\"},\n {\"box_2d\": [832, 255, 875, 294], \"label\": \"banana tree\"},\n {\"box_2d\": [914, 254, 968, 304], \"label\": \"banana tree\"},\n {\"box_2d\": [958, 183, 999, 236], \"label\": \"banana tree\"},\n {\"box_2d\": [2, 469, 73, 540], \"label\": \"banana tree\"},\n {\"box_2d\": [93, 466, 165, 534], \"label\": \"banana tree\"},\n {\"box_2d\": [57, 557, 104, 594], \"label\": \"banana tree\"},\n {\"box_2d\": [173, 475, 251, 545], \"label\": \"banana tree\"},\n {\"box_2d\": [140, 546, 198, 603], \"label\": \"banana tree\"},\n {\"box_2d\": [235, 562, 272, 591], \"label\": \"banana tree\"},\n {\"box_2d\": [274, 487, 326, 531], \"label\": \"banana tree\"},\n {\"box_2d\": [315, 560, 360, 594], \"label\": \"banana tree\"},\n {\"box_2d\": [354, 478, 434, 543], \"label\": \"banana tree\"},\n {\"box_2d\": [401, 553, 444, 601], \"label\": \"banana tree\"},\n {\"box_2d\": [437, 483, 496, 542], \"label\": \"banana tree\"},\n {\"box_2d\": [525, 480, 585, 541], \"label\": \"banana tree\"},\n {\"box_2d\": [478, 567, 531, 601], \"label\": \"banana tree\"},\n {\"box_2d\": [581, 562, 623, 603], \"label\": \"banana tree\"},\n {\"box_2d\": [618, 484, 682, 547], \"label\": \"banana tree\"},\n {\"box_2d\": [661, 553, 709, 603], \"label\": \"banana tree\"},\n {\"box_2d\": [686, 480, 771, 564], \"label\": \"banana tree\"},\n {\"box_2d\": [749, 556, 789, 607], \"label\": \"banana tree\"},\n {\"box_2d\": [797, 482, 864, 543], \"label\": \"banana tree\"},\n {\"box_2d\": [838, 570, 867, 604], \"label\": \"banana tree\"},\n {\"box_2d\": [869, 493, 932, 545], \"label\": \"banana tree\"},\n {\"box_2d\": [925, 576, 956, 606], \"label\": \"banana tree\"},\n {\"box_2d\": [965, 492, 1000, 547], \"label\": \"banana tree\"},\n {\"box_2d\": [811, 785, 875, 842], \"label\": \"banana tree\"},\n {\"box_2d\": [767, 858, 820, 914], \"label\": \"banana tree\"},\n {\"box_2d\": [860, 865, 896, 902], \"label\": \"banana tree\"},\n {\"box_2d\": [898, 793, 962, 848], \"label\": \"banana tree\"},\n {\"box_2d\": [938, 866, 995, 915], \"label\": \"banana tree\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 1787, "elapsed_seconds": 37.249021791969426, "metadata": {"match_method": "map", "num_predictions": 51, "num_ground_truth": 50, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9513686895370483, "attempts": 1, "retries": 0, "total_seconds": 37.318}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 215, "image": "1704192313045_jpg.rf.f68f24072cd4a5061cddf9521b0b617a.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [264, 603, 336, 686], \"label\": \"chickpea grain\"},\n {\"box_2d\": [430, 294, 514, 366], \"label\": \"chickpea grain\"},\n {\"box_2d\": [502, 439, 564, 511], \"label\": \"chickpea grain\"},\n {\"box_2d\": [697, 228, 780, 300], \"label\": \"chickpea grain\"},\n {\"box_2d\": [589, 731, 669, 806], \"label\": \"chickpea grain\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 192, "elapsed_seconds": 4.217871417058632, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 4.2385}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 216, "image": "A15311-6Ctrv_2025_NCPT-174_JPG_jpg.rf.fc9ee0cac2da2d059bc0db453be0c788.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [17, 170, 68, 190], \"label\": \"potato\"},\n {\"box_2d\": [107, 158, 200, 192], \"label\": \"potato\"},\n {\"box_2d\": [199, 162, 267, 191], \"label\": \"potato\"},\n {\"box_2d\": [105, 206, 185, 236], \"label\": \"potato\"},\n {\"box_2d\": [182, 243, 272, 280], \"label\": \"potato\"},\n {\"box_2d\": [75, 247, 157, 279], \"label\": \"potato\"},\n {\"box_2d\": [13, 254, 71, 277], \"label\": \"potato\"},\n {\"box_2d\": [11, 292, 93, 323], \"label\": \"potato\"},\n {\"box_2d\": [92, 293, 151, 319], \"label\": \"potato\"},\n {\"box_2d\": [147, 290, 226, 320], \"label\": \"potato\"},\n {\"box_2d\": [7, 340, 64, 365], \"label\": \"potato\"},\n {\"box_2d\": [65, 333, 154, 369], \"label\": \"potato\"},\n {\"box_2d\": [181, 320, 303, 366], \"label\": \"potato\"},\n {\"box_2d\": [300, 330, 398, 368], \"label\": \"potato\"},\n {\"box_2d\": [393, 281, 517, 324], \"label\": \"potato\"},\n {\"box_2d\": [377, 245, 456, 276], \"label\": \"potato\"},\n {\"box_2d\": [427, 202, 498, 229], \"label\": \"potato\"},\n {\"box_2d\": [566, 199, 646, 229], \"label\": \"potato\"},\n {\"box_2d\": [498, 244, 586, 278], \"label\": \"potato\"},\n {\"box_2d\": [517, 294, 550, 312], \"label\": \"potato\"},\n {\"box_2d\": [548, 292, 608, 315], \"label\": \"potato\"},\n {\"box_2d\": [607, 289, 672, 314], \"label\": \"potato\"},\n {\"box_2d\": [689, 286, 764, 314], \"label\": \"potato\"},\n {\"box_2d\": [804, 243, 886, 272], \"label\": \"potato\"},\n {\"box_2d\": [653, 334, 714, 359], \"label\": \"potato\"},\n {\"box_2d\": [561, 328, 654, 366], \"label\": \"potato\"},\n {\"box_2d\": [445, 328, 551, 366], \"label\": \"potato\"},\n {\"box_2d\": [485, 365, 598, 409], \"label\": \"potato\"},\n {\"box_2d\": [617, 369, 711, 404], \"label\": \"potato\"},\n {\"box_2d\": [715, 369, 804, 403], \"label\": \"potato\"},\n {\"box_2d\": [806, 375, 882, 401], \"label\": \"potato\"},\n {\"box_2d\": [610, 415, 691, 449], \"label\": \"potato\"},\n {\"box_2d\": [596, 456, 735, 497], \"label\": \"potato\"},\n {\"box_2d\": [733, 449, 842, 493], \"label\": \"potato\"},\n {\"box_2d\": [932, 458, 999, 488], \"label\": \"potato\"},\n {\"box_2d\": [827, 493, 952, 546], \"label\": \"potato\"},\n {\"box_2d\": [832, 546, 920, 578], \"label\": \"potato\"},\n {\"box_2d\": [918, 550, 972, 574], \"label\": \"potato\"},\n {\"box_2d\": [928, 722, 996, 749], \"label\": \"potato\"},\n {\"box_2d\": [705, 595, 776, 623], \"label\": \"potato\"},\n {\"box_2d\": [507, 591, 640, 639], \"label\": \"potato\"},\n {\"box_2d\": [454, 637, 551, 673], \"label\": \"potato\"},\n {\"box_2d\": [158, 590, 286, 645], \"label\": \"potato\"},\n {\"box_2d\": [27, 631, 150, 680], \"label\": \"potato\"},\n {\"box_2d\": [4, 600, 84, 631], \"label\": \"potato\"},\n {\"box_2d\": [4, 557, 90, 588], \"label\": \"potato\"},\n {\"box_2d\": [7, 514, 67, 537], \"label\": \"potato\"},\n {\"box_2d\": [123, 459, 241, 500], \"label\": \"potato\"},\n {\"box_2d\": [75, 421, 157, 453], \"label\": \"potato\"},\n {\"box_2d\": [155, 417, 265, 457], \"label\": \"potato\"},\n {\"box_2d\": [33, 380, 108, 408], \"label\": \"potato\"},\n {\"box_2d\": [107, 376, 189, 410], \"label\": \"potato\"},\n {\"box_2d\": [188, 377, 272, 410], \"label\": \"potato\"},\n {\"box_2d\": [270, 369, 373, 409], \"label\": \"potato\"},\n {\"box_2d\": [283, 414, 407, 455], \"label\": \"potato\"},\n {\"box_2d\": [409, 415, 507, 452], \"label\": \"potato\"},\n {\"box_2d\": [313, 454, 435, 503], \"label\": \"potato\"},\n {\"box_2d\": [433, 464, 503, 493], \"label\": \"potato\"},\n {\"box_2d\": [366, 501, 498, 543], \"label\": \"potato\"},\n {\"box_2d\": [401, 550, 499, 583], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 2028, "elapsed_seconds": 31.979466625023633, "metadata": {"match_method": "map", "num_predictions": 60, "num_ground_truth": 60, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 32.6955}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 217, "image": "signatures_image_15_png_jpg.rf.6b815d82f5451daedc9c9077d66f9599.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [243, 74, 289, 400], \"label\": \"signature\"},\n {\"box_2d\": [354, 71, 494, 434], \"label\": \"signature\"},\n {\"box_2d\": [230, 467, 281, 825], \"label\": \"signature\"},\n {\"box_2d\": [414, 511, 479, 750], \"label\": \"signature\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 146, "elapsed_seconds": 7.641043915995397, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 7.7514}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 218, "image": "lot222_JPEG_jpg.rf.50df16e1f4326083fe341ec20a62dbe4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [535, 246, 567, 286], \"label\": \"chicory seed\"},\n {\"box_2d\": [554, 286, 593, 315], \"label\": \"chicory seed\"},\n {\"box_2d\": [468, 196, 489, 234], \"label\": \"chicory seed\"},\n {\"box_2d\": [573, 319, 591, 362], \"label\": \"chicory seed\"},\n {\"box_2d\": [570, 370, 592, 412], \"label\": \"chicory seed\"},\n {\"box_2d\": [650, 386, 692, 408], \"label\": \"chicory seed\"},\n {\"box_2d\": [546, 429, 566, 471], \"label\": \"chicory seed\"},\n {\"box_2d\": [623, 524, 646, 566], \"label\": \"chicory seed\"},\n {\"box_2d\": [529, 502, 577, 521], \"label\": \"chicory seed\"},\n {\"box_2d\": [499, 537, 523, 577], \"label\": \"chicory seed\"},\n {\"box_2d\": [627, 461, 665, 489], \"label\": \"chicory seed\"},\n {\"box_2d\": [517, 546, 553, 581], \"label\": \"chicory seed\"},\n {\"box_2d\": [637, 478, 675, 499], \"label\": \"chicory seed\"},\n {\"box_2d\": [495, 679, 525, 720], \"label\": \"chicory seed\"},\n {\"box_2d\": [423, 596, 464, 619], \"label\": \"chicory seed\"},\n {\"box_2d\": [411, 577, 449, 595], \"label\": \"chicory seed\"},\n {\"box_2d\": [482, 715, 501, 756], \"label\": \"chicory seed\"},\n {\"box_2d\": [623, 593, 643, 635], \"label\": \"chicory seed\"},\n {\"box_2d\": [630, 718, 645, 759], \"label\": \"chicory seed\"},\n {\"box_2d\": [562, 623, 588, 667], \"label\": \"chicory seed\"},\n {\"box_2d\": [772, 404, 817, 426], \"label\": \"chicory seed\"},\n {\"box_2d\": [798, 638, 833, 658], \"label\": \"chicory seed\"},\n {\"box_2d\": [719, 415, 740, 453], \"label\": \"chicory seed\"},\n {\"box_2d\": [765, 289, 783, 330], \"label\": \"chicory seed\"},\n {\"box_2d\": [400, 307, 429, 345], \"label\": \"chicory seed\"},\n {\"box_2d\": [560, 467, 602, 491], \"label\": \"chicory seed\"},\n {\"box_2d\": [395, 217, 423, 255], \"label\": \"chicory seed\"},\n {\"box_2d\": [529, 173, 559, 211], \"label\": \"chicory seed\"},\n {\"box_2d\": [454, 463, 474, 504], \"label\": \"chicory seed\"},\n {\"box_2d\": [414, 612, 437, 653], \"label\": \"chicory seed\"},\n {\"box_2d\": [278, 281, 301, 318], \"label\": \"chicory seed\"},\n {\"box_2d\": [357, 424, 381, 459], \"label\": \"chicory seed\"},\n {\"box_2d\": [228, 371, 248, 412], \"label\": \"chicory seed\"},\n {\"box_2d\": [269, 245, 308, 279], \"label\": \"chicory seed\"},\n {\"box_2d\": [254, 535, 276, 578], \"label\": \"chicory seed\"},\n {\"box_2d\": [328, 501, 347, 543], \"label\": \"chicory seed\"},\n {\"box_2d\": [313, 355, 335, 398], \"label\": \"chicory seed\"},\n {\"box_2d\": [332, 795, 358, 835], \"label\": \"chicory seed\"},\n {\"box_2d\": [298, 613, 339, 640], \"label\": \"chicory seed\"},\n {\"box_2d\": [459, 556, 495, 587], \"label\": \"chicory seed\"},\n {\"box_2d\": [171, 553, 198, 591], \"label\": \"chicory seed\"},\n {\"box_2d\": [216, 534, 253, 567], \"label\": \"chicory seed\"},\n {\"box_2d\": [181, 544, 210, 580], \"label\": \"chicory seed\"},\n {\"box_2d\": [232, 490, 263, 526], \"label\": \"chicory seed\"},\n {\"box_2d\": [306, 258, 330, 297], \"label\": \"chicory seed\"},\n {\"box_2d\": [280, 542, 314, 578], \"label\": \"chicory seed\"},\n {\"box_2d\": [545, 366, 563, 409], \"label\": \"chicory seed\"},\n {\"box_2d\": [779, 672, 800, 711], \"label\": \"chicory seed\"},\n {\"box_2d\": [275, 439, 301, 478], \"label\": \"chicory seed\"},\n {\"box_2d\": [199, 410, 232, 444], \"label\": \"chicory seed\"},\n {\"box_2d\": [726, 665, 744, 704], \"label\": \"chicory seed\"},\n {\"box_2d\": [585, 622, 618, 661], \"label\": \"chicory seed\"},\n {\"box_2d\": [433, 681, 463, 711], \"label\": \"chicory seed\"},\n {\"box_2d\": [379, 365, 417, 396], \"label\": \"chicory seed\"},\n {\"box_2d\": [393, 530, 434, 557], \"label\": \"chicory seed\"},\n {\"box_2d\": [650, 412, 691, 435], \"label\": \"chicory seed\"},\n {\"box_2d\": [406, 417, 445, 446], \"label\": \"chicory seed\"},\n {\"box_2d\": [400, 253, 436, 286], \"label\": \"chicory seed\"},\n {\"box_2d\": [769, 459, 811, 483], \"label\": \"chicory seed\"},\n {\"box_2d\": [499, 391, 528, 432], \"label\": \"chicory seed\"},\n {\"box_2d\": [545, 478, 583, 502], \"label\": \"chicory seed\"},\n {\"box_2d\": [582, 366, 614, 405], \"label\": \"chicory seed\"},\n {\"box_2d\": [592, 601, 624, 629], \"label\": \"chicory seed\"},\n {\"box_2d\": [298, 441, 319, 482], \"label\": \"chicory seed\"},\n {\"box_2d\": [283, 513, 304, 552], \"label\": \"chicory seed\"},\n {\"box_2d\": [319, 444, 360, 466], \"label\": \"chicory seed\"},\n {\"box_2d\": [345, 344, 386, 369], \"label\": \"chicory seed\"},\n {\"box_2d\": [244, 278, 282, 308], \"label\": \"chicory seed\"},\n {\"box_2d\": [173, 462, 198, 499], \"label\": \"chicory seed\"},\n {\"box_2d\": [324, 282, 353, 321], \"label\": \"chicory seed\"},\n {\"box_2d\": [291, 744, 320, 777], \"label\": \"chicory seed\"},\n {\"box_2d\": [472, 442, 495, 478], \"label\": \"chicory seed\"},\n {\"box_2d\": [320, 313, 358, 344], \"label\": \"chicory seed\"},\n {\"box_2d\": [363, 730, 384, 773], \"label\": \"chicory seed\"},\n {\"box_2d\": [666, 560, 691, 602], \"label\": \"chicory seed\"},\n {\"box_2d\": [425, 650, 465, 677], \"label\": \"chicory seed\"},\n {\"box_2d\": [414, 219, 443, 258], \"label\": \"chicory seed\"},\n {\"box_2d\": [347, 365, 382, 396], \"label\": \"chicory seed\"},\n {\"box_2d\": [776, 441, 818, 461], \"label\": \"chicory seed\"},\n {\"box_2d\": [666, 353, 702, 386], \"label\": \"chicory seed\"},\n {\"box_2d\": [592, 526, 621, 566], \"label\": \"chicory seed\"},\n {\"box_2d\": [742, 646, 771, 686], \"label\": \"chicory seed\"},\n {\"box_2d\": [535, 535, 571, 573], \"label\": \"chicory seed\"},\n {\"box_2d\": [489, 364, 508, 405], \"label\": \"chicory seed\"},\n {\"box_2d\": [273, 488, 291, 529], \"label\": \"chicory seed\"},\n {\"box_2d\": [498, 273, 520, 313], \"label\": \"chicory seed\"},\n {\"box_2d\": [553, 527, 591, 559], \"label\": \"chicory seed\"},\n {\"box_2d\": [498, 424, 529, 462], \"label\": \"chicory seed\"},\n {\"box_2d\": [573, 709, 608, 733], \"label\": \"chicory seed\"},\n {\"box_2d\": [354, 817, 389, 853], \"label\": \"chicory seed\"},\n {\"box_2d\": [790, 491, 830, 514], \"label\": \"chicory seed\"},\n {\"box_2d\": [550, 671, 573, 712], \"label\": \"chicory seed\"},\n {\"box_2d\": [617, 297, 657, 320], \"label\": \"chicory seed\"},\n {\"box_2d\": [266, 397, 307, 420], \"label\": \"chicory seed\"},\n {\"box_2d\": [504, 725, 531, 767], \"label\": \"chicory seed\"},\n {\"box_2d\": [562, 211, 588, 250], \"label\": \"chicory seed\"},\n {\"box_2d\": [468, 796, 492, 839], \"label\": \"chicory seed\"},\n {\"box_2d\": [506, 605, 545, 623], \"label\": \"chicory seed\"},\n {\"box_2d\": [417, 395, 455, 419], \"label\": \"chicory seed\"},\n {\"box_2d\": [771, 317, 807, 347], \"label\": \"chicory seed\"},\n {\"box_2d\": [319, 465, 360, 492], \"label\": \"chicory seed\"},\n {\"box_2d\": [669, 456, 703, 491], \"label\": \"chicory seed\"},\n {\"box_2d\": [243, 502, 273, 541], \"label\": \"chicory seed\"},\n {\"box_2d\": [318, 534, 339, 578], \"label\": \"chicory seed\"},\n {\"box_2d\": [686, 292, 709, 329], \"label\": \"chicory seed\"},\n {\"box_2d\": [610, 712, 630, 755], \"label\": \"chicory seed\"},\n {\"box_2d\": [262, 355, 306, 383], \"label\": \"chicory seed\"},\n {\"box_2d\": [579, 496, 598, 538], \"label\": \"chicory seed\"},\n {\"box_2d\": [199, 657, 234, 691], \"label\": \"chicory seed\"},\n {\"box_2d\": [240, 306, 267, 346], \"label\": \"chicory seed\"},\n {\"box_2d\": [674, 642, 707, 680], \"label\": \"chicory seed\"},\n {\"box_2d\": [447, 187, 476, 224], \"label\": \"chicory seed\"},\n {\"box_2d\": [535, 811, 565, 849], \"label\": \"chicory seed\"},\n {\"box_2d\": [765, 360, 785, 401], \"label\": \"chicory seed\"},\n {\"box_2d\": [489, 229, 517, 266], \"label\": \"chicory seed\"},\n {\"box_2d\": [532, 765, 550, 804], \"label\": \"chicory seed\"},\n {\"box_2d\": [364, 680, 402, 708], \"label\": \"chicory seed\"},\n {\"box_2d\": [363, 700, 399, 734], \"label\": \"chicory seed\"},\n {\"box_2d\": [485, 658, 526, 684], \"label\": \"chicory seed\"},\n {\"box_2d\": [489, 483, 529, 505], \"label\": \"chicory seed\"},\n {\"box_2d\": [334, 215, 353, 255], \"label\": \"chicory seed\"},\n {\"box_2d\": [508, 362, 544, 403], \"label\": \"chicory seed\"},\n {\"box_2d\": [200, 471, 240, 489], \"label\": \"chicory seed\"},\n {\"box_2d\": [649, 634, 673, 674], \"label\": \"chicory seed\"},\n {\"box_2d\": [568, 756, 591, 796], \"label\": \"chicory seed\"},\n {\"box_2d\": [425, 364, 463, 386], \"label\": \"chicory seed\"},\n {\"box_2d\": [245, 427, 286, 456], \"label\": \"chicory seed\"},\n {\"box_2d\": [397, 769, 431, 804], \"label\": \"chicory seed\"},\n {\"box_2d\": [345, 244, 376, 285], \"label\": \"chicory seed\"},\n {\"box_2d\": [630, 545, 661, 586], \"label\": \"chicory seed\"},\n {\"box_2d\": [585, 662, 623, 685], \"label\": \"chicory seed\"},\n {\"box_2d\": [224, 593, 263, 616], \"label\": \"chicory seed\"},\n {\"box_2d\": [373, 279, 412, 309], \"label\": \"chicory seed\"},\n {\"box_2d\": [243, 466, 280, 497], \"label\": \"chicory seed\"},\n {\"box_2d\": [468, 301, 500, 338], \"label\": \"chicory seed\"},\n {\"box_2d\": [357, 268, 394, 297], \"label\": \"chicory seed\"},\n {\"box_2d\": [721, 583, 754, 625], \"label\": \"chicory seed\"},\n {\"box_2d\": [733, 389, 774, 406], \"label\": \"chicory seed\"},\n {\"box_2d\": [478, 594, 507, 635], \"label\": \"chicory seed\"},\n {\"box_2d\": [336, 491, 377, 510], \"label\": \"chicory seed\"},\n {\"box_2d\": [338, 540, 369, 582], \"label\": \"chicory seed\"},\n {\"box_2d\": [524, 304, 566, 324], \"label\": \"chicory seed\"},\n {\"box_2d\": [699, 514, 738, 542], \"label\": \"chicory seed\"},\n {\"box_2d\": [433, 478, 454, 520], \"label\": \"chicory seed\"},\n {\"box_2d\": [695, 236, 728, 270], \"label\": \"chicory seed\"},\n {\"box_2d\": [264, 578, 285, 621], \"label\": \"chicory seed\"},\n {\"box_2d\": [650, 340, 683, 377], \"label\": \"chicory seed\"},\n {\"box_2d\": [489, 464, 529, 488], \"label\": \"chicory seed\"},\n {\"box_2d\": [527, 667, 555, 706], \"label\": \"chicory seed\"},\n {\"box_2d\": [309, 394, 338, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [168, 502, 187, 542], \"label\": \"chicory seed\"},\n {\"box_2d\": [217, 695, 250, 731], \"label\": \"chicory seed\"},\n {\"box_2d\": [592, 406, 616, 444], \"label\": \"chicory seed\"},\n {\"box_2d\": [512, 346, 548, 379], \"label\": \"chicory seed\"},\n {\"box_2d\": [447, 639, 486, 660], \"label\": \"chicory seed\"},\n {\"box_2d\": [524, 402, 545, 443], \"label\": \"chicory seed\"},\n {\"box_2d\": [249, 650, 271, 689], \"label\": \"chicory seed\"},\n {\"box_2d\": [191, 489, 209, 531], \"label\": \"chicory seed\"},\n {\"box_2d\": [441, 500, 480, 530], \"label\": \"chicory seed\"},\n {\"box_2d\": [578, 445, 617, 466], \"label\": \"chicory seed\"},\n {\"box_2d\": [746, 449, 773, 489], \"label\": \"chicory seed\"},\n {\"box_2d\": [302, 497, 323, 540], \"label\": \"chicory seed\"},\n {\"box_2d\": [432, 282, 459, 323], \"label\": \"chicory seed\"},\n {\"box_2d\": [448, 297, 480, 337], \"label\": \"chicory seed\"},\n {\"box_2d\": [508, 267, 541, 304], \"label\": \"chicory seed\"},\n {\"box_2d\": [584, 678, 623, 707], \"label\": \"chicory seed\"},\n {\"box_2d\": [434, 522, 471, 557], \"label\": \"chicory seed\"},\n {\"box_2d\": [577, 690, 615, 719], \"label\": \"chicory seed\"},\n {\"box_2d\": [577, 255, 605, 294], \"label\": \"chicory seed\"},\n {\"box_2d\": [556, 407, 591, 444], \"label\": \"chicory seed\"},\n {\"box_2d\": [264, 635, 289, 677], \"label\": \"chicory seed\"},\n {\"box_2d\": [410, 171, 430, 213], \"label\": \"chicory seed\"},\n {\"box_2d\": [529, 622, 547, 663], \"label\": \"chicory seed\"},\n {\"box_2d\": [432, 745, 461, 783], \"label\": \"chicory seed\"},\n {\"box_2d\": [797, 657, 819, 697], \"label\": \"chicory seed\"},\n {\"box_2d\": [663, 719, 691, 760], \"label\": \"chicory seed\"},\n {\"box_2d\": [191, 444, 230, 464], \"label\": \"chicory seed\"},\n {\"box_2d\": [603, 646, 642, 664], \"label\": \"chicory seed\"},\n {\"box_2d\": [471, 366, 489, 406], \"label\": \"chicory seed\"},\n {\"box_2d\": [568, 560, 608, 590], \"label\": \"chicory seed\"},\n {\"box_2d\": [472, 567, 509, 604], \"label\": \"chicory seed\"},\n {\"box_2d\": [545, 577, 571, 618], \"label\": \"chicory seed\"},\n {\"box_2d\": [473, 513, 512, 535], \"label\": \"chicory seed\"},\n {\"box_2d\": [485, 796, 510, 839], \"label\": \"chicory seed\"},\n {\"box_2d\": [654, 518, 692, 545], \"label\": \"chicory seed\"},\n {\"box_2d\": [416, 686, 445, 721], \"label\": \"chicory seed\"},\n {\"box_2d\": [785, 519, 811, 559], \"label\": \"chicory seed\"},\n {\"box_2d\": [524, 707, 565, 738], \"label\": \"chicory seed\"},\n {\"box_2d\": [607, 309, 639, 347], \"label\": \"chicory seed\"},\n {\"box_2d\": [589, 311, 610, 353], \"label\": \"chicory seed\"},\n {\"box_2d\": [264, 329, 302, 356], \"label\": \"chicory seed\"},\n {\"box_2d\": [181, 404, 207, 443], \"label\": \"chicory seed\"},\n {\"box_2d\": [712, 562, 749, 598], \"label\": \"chicory seed\"},\n {\"box_2d\": [624, 439, 659, 476], \"label\": \"chicory seed\"},\n {\"box_2d\": [373, 614, 398, 656], \"label\": \"chicory seed\"},\n {\"box_2d\": [607, 258, 639, 294], \"label\": \"chicory seed\"},\n {\"box_2d\": [413, 339, 446, 374], \"label\": \"chicory seed\"},\n {\"box_2d\": [397, 656, 419, 697], \"label\": \"chicory seed\"},\n {\"box_2d\": [294, 304, 325, 342], \"label\": \"chicory seed\"},\n {\"box_2d\": [702, 274, 742, 295], \"label\": \"chicory seed\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 7212, "elapsed_seconds": 55.2263692090055, "metadata": {"match_method": "map", "num_predictions": 200, "num_ground_truth": 299, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3358415961265564, "attempts": 1, "retries": 0, "total_seconds": 55.4287}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 219, "image": "66_png.rf.39bf6d177f61078e6d35cc7449f636fc.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [32, 260, 94, 309], \"label\": \"not gate symbol\"},\n {\"box_2d\": [155, 253, 236, 331], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [174, 568, 256, 646], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [250, 109, 321, 152], \"label\": \"not gate symbol\"},\n {\"box_2d\": [250, 161, 321, 204], \"label\": \"not gate symbol\"},\n {\"box_2d\": [326, 253, 408, 331], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [411, 503, 482, 546], \"label\": \"not gate symbol\"},\n {\"box_2d\": [478, 568, 559, 646], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [553, 778, 635, 856], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [659, 260, 720, 309], \"label\": \"not gate symbol\"},\n {\"box_2d\": [629, 568, 711, 646], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [782, 568, 862, 646], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [800, 778, 882, 856], \"label\": \"nand gate symbol\"},\n {\"box_2d\": [905, 260, 967, 309], \"label\": \"not gate symbol\"}\n]\n```", "correct": true, "input_tokens": 1222, "output_tokens": 514, "elapsed_seconds": 6.7369645410217345, "metadata": {"match_method": "map", "num_predictions": 14, "num_ground_truth": 14, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 6.749}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 220, "image": "car-part-detection_Car-damages-1497_png_jpg.rf.e852cda680508c1a167266952897c9ec.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [540, 82, 756, 179], \"label\": \"back bumper\"},\n {\"box_2d\": [425, 96, 544, 165], \"label\": \"tail light\"},\n {\"box_2d\": [266, 117, 405, 206], \"label\": \"back windshield\"},\n {\"box_2d\": [254, 249, 421, 470], \"label\": \"back window\"},\n {\"box_2d\": [254, 509, 456, 740], \"label\": \"front window\"},\n {\"box_2d\": [401, 738, 464, 767], \"label\": \"mirror\"},\n {\"box_2d\": [244, 485, 728, 783], \"label\": \"front door\"},\n {\"box_2d\": [244, 232, 732, 504], \"label\": \"back door\"},\n {\"box_2d\": [450, 898, 538, 974], \"label\": \"headlight\"},\n {\"box_2d\": [397, 845, 490, 961], \"label\": \"hood\"},\n {\"box_2d\": [520, 931, 744, 991], \"label\": \"front bumper\"},\n {\"box_2d\": [256, 634, 421, 853], \"label\": \"windshield\"}\n]\n```", "correct": true, "input_tokens": 1232, "output_tokens": 428, "elapsed_seconds": 9.907077666954137, "metadata": {"match_method": "map", "num_predictions": 12, "num_ground_truth": 14, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8754124641418457, "attempts": 1, "retries": 0, "total_seconds": 9.9307}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 221, "image": "51_jpg.rf.058febb668fb3dcd1ddaf96ac46d336e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [585, 646, 756, 885], \"label\": \"blood sample tube\"},\n {\"box_2d\": [689, 412, 754, 656], \"label\": \"blood sample tube\"},\n {\"box_2d\": [485, 612, 667, 848], \"label\": \"blood sample tube\"},\n {\"box_2d\": [656, 198, 756, 443], \"label\": \"blood sample tube\"},\n {\"box_2d\": [585, 331, 693, 571], \"label\": \"blood sample tube\"},\n {\"box_2d\": [525, 326, 631, 567], \"label\": \"blood sample tube\"},\n {\"box_2d\": [381, 471, 658, 639], \"label\": \"blood sample tube\"},\n {\"box_2d\": [348, 196, 634, 337], \"label\": \"blood sample tube\"},\n {\"box_2d\": [270, 279, 568, 406], \"label\": \"blood sample tube\"},\n {\"box_2d\": [151, 232, 396, 425], \"label\": \"blood sample tube\"},\n {\"box_2d\": [62, 193, 384, 240], \"label\": \"blood sample tube\"},\n {\"box_2d\": [46, 281, 162, 517], \"label\": \"blood sample tube\"},\n {\"box_2d\": [168, 432, 315, 660], \"label\": \"blood sample tube\"},\n {\"box_2d\": [279, 653, 567, 809], \"label\": \"blood sample tube\"},\n {\"box_2d\": [181, 859, 495, 965], \"label\": \"blood sample tube\"},\n {\"box_2d\": [118, 775, 376, 954], \"label\": \"blood sample tube\"},\n {\"box_2d\": [167, 570, 296, 807], \"label\": \"blood sample tube\"},\n {\"box_2d\": [104, 521, 226, 759], \"label\": \"blood sample tube\"},\n {\"box_2d\": [92, 664, 154, 914], \"label\": \"blood sample tube\"},\n {\"box_2d\": [39, 712, 95, 954], \"label\": \"blood sample tube\"},\n {\"box_2d\": [42, 468, 104, 710], \"label\": \"blood sample tube\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 762, "elapsed_seconds": 9.493423625011928, "metadata": {"match_method": "map", "num_predictions": 21, "num_ground_truth": 21, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 9.5244}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 222, "image": "161056d_JPG_jpg.rf.9a7d680b73d40b7f57e4788c75d35faa.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [264, 395, 349, 530], \"label\": \"cracked insulator\"},\n {\"box_2d\": [468, 394, 559, 520], \"label\": \"cracked insulator\"}\n]\n```", "correct": false, "input_tokens": 1217, "output_tokens": 84, "elapsed_seconds": 33.86730200005695, "metadata": {"match_method": "map", "num_predictions": 2, "num_ground_truth": 4, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.5049505233764648, "attempts": 1, "retries": 0, "total_seconds": 34.7127}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 223, "image": "signatures_image_176_png_jpg.rf.ba5b095c7ba79857b44be19e553b8621.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [529, 183, 612, 260], \"label\": \"signature\"},\n {\"box_2d\": [562, 452, 598, 488], \"label\": \"signature\"},\n {\"box_2d\": [551, 656, 591, 717], \"label\": \"signature\"},\n {\"box_2d\": [592, 806, 634, 895], \"label\": \"signature\"}\n]\n```", "correct": true, "input_tokens": 1228, "output_tokens": 148, "elapsed_seconds": 11.99065687507391, "metadata": {"match_method": "map", "num_predictions": 4, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.801980197429657, "attempts": 1, "retries": 0, "total_seconds": 12.2511}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 224, "image": "floorplan-windows-doors_10363_png.rf.022a393bcce41347db46c0ae8f821ac1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [736, 351, 801, 417], \"label\": \"door\"},\n {\"box_2d\": [602, 314, 638, 358], \"label\": \"door\"},\n {\"box_2d\": [646, 370, 699, 434], \"label\": \"door\"},\n {\"box_2d\": [598, 693, 667, 707], \"label\": \"window\"},\n {\"box_2d\": [537, 636, 588, 693], \"label\": \"door\"},\n {\"box_2d\": [489, 693, 526, 706], \"label\": \"window\"},\n {\"box_2d\": [459, 84, 591, 96], \"label\": \"window\"},\n {\"box_2d\": [329, 86, 355, 100], \"label\": \"window\"},\n {\"box_2d\": [110, 86, 193, 100], \"label\": \"window\"},\n {\"box_2d\": [174, 248, 226, 304], \"label\": \"door\"},\n {\"box_2d\": [206, 312, 241, 355], \"label\": \"door\"},\n {\"box_2d\": [248, 391, 293, 438], \"label\": \"door\"},\n {\"box_2d\": [169, 444, 222, 502], \"label\": \"door\"},\n {\"box_2d\": [169, 638, 221, 761], \"label\": \"door\"},\n {\"box_2d\": [130, 692, 163, 706], \"label\": \"window\"},\n {\"box_2d\": [259, 529, 305, 580], \"label\": \"door\"},\n {\"box_2d\": [283, 686, 317, 704], \"label\": \"window\"}\n]\n```", "correct": false, "input_tokens": 1223, "output_tokens": 586, "elapsed_seconds": 11.228363082977012, "metadata": {"match_method": "map", "num_predictions": 17, "num_ground_truth": 19, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7423620820045471, "attempts": 1, "retries": 0, "total_seconds": 11.285}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 225, "image": "paper-parts_194472_30_jpg.rf.b0a602d4dcc7284ce0bac985bedfd7a6.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [94, 176, 213, 882], \"label\": \"paragraph\"},\n {\"box_2d\": [233, 176, 248, 417], \"label\": \"paragraph\"},\n {\"box_2d\": [267, 176, 352, 882], \"label\": \"paragraph\"},\n {\"box_2d\": [380, 417, 529, 699], \"label\": \"figure\"},\n {\"box_2d\": [552, 446, 567, 672], \"label\": \"figure caption\"},\n {\"box_2d\": [586, 235, 612, 683], \"label\": \"paragraph\"},\n {\"box_2d\": [631, 403, 667, 654], \"label\": \"equation\"},\n {\"box_2d\": [669, 453, 684, 605], \"label\": \"equation\"},\n {\"box_2d\": [703, 456, 728, 882], \"label\": \"equation\"},\n {\"box_2d\": [748, 176, 798, 881], \"label\": \"paragraph\"},\n {\"box_2d\": [817, 235, 861, 646], \"label\": \"paragraph\"},\n {\"box_2d\": [868, 390, 883, 667], \"label\": \"equation\"},\n {\"box_2d\": [886, 520, 899, 538], \"label\": \"page number\"}\n]\n```", "correct": false, "input_tokens": 1248, "output_tokens": 455, "elapsed_seconds": 12.21736587502528, "metadata": {"match_method": "map", "num_predictions": 13, "num_ground_truth": 11, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.6532672643661499, "attempts": 1, "retries": 0, "total_seconds": 12.2591}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 226, "image": "IMG_6641_jpeg_jpg.rf.d4a1ba083ff18ae1c9807cc69a86b03e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [568, 3, 598, 198], \"label\": \"blue poker chip\"},\n {\"box_2d\": [589, 3, 616, 198], \"label\": \"blue poker chip\"},\n {\"box_2d\": [607, 4, 634, 196], \"label\": \"blue poker chip\"},\n {\"box_2d\": [624, 3, 653, 196], \"label\": \"blue poker chip\"},\n {\"box_2d\": [640, 1, 670, 196], \"label\": \"blue poker chip\"},\n {\"box_2d\": [656, 0, 689, 196], \"label\": \"blue poker chip\"},\n {\"box_2d\": [672, 1, 707, 196], \"label\": \"blue poker chip\"},\n {\"box_2d\": [676, 196, 708, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [659, 195, 691, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [641, 196, 673, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [626, 196, 655, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [608, 196, 636, 376], \"label\": \"green poker chip\"},\n {\"box_2d\": [592, 196, 621, 376], \"label\": \"green poker chip\"},\n {\"box_2d\": [575, 196, 602, 376], \"label\": \"green poker chip\"},\n {\"box_2d\": [560, 196, 585, 376], \"label\": \"green poker chip\"},\n {\"box_2d\": [546, 198, 567, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [529, 198, 550, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [513, 198, 534, 378], \"label\": \"green poker chip\"},\n {\"box_2d\": [428, 384, 453, 562], \"label\": \"red poker chip\"},\n {\"box_2d\": [445, 384, 469, 562], \"label\": \"red poker chip\"},\n {\"box_2d\": [463, 384, 486, 562], \"label\": \"red poker chip\"},\n {\"box_2d\": [478, 384, 500, 562], \"label\": \"red poker chip\"},\n {\"box_2d\": [496, 384, 517, 563], \"label\": \"red poker chip\"},\n {\"box_2d\": [513, 384, 534, 563], \"label\": \"red poker chip\"},\n {\"box_2d\": [531, 384, 550, 563], \"label\": \"red poker chip\"},\n {\"box_2d\": [547, 385, 568, 563], \"label\": \"red poker chip\"},\n {\"box_2d\": [562, 385, 585, 563], \"label\": \"red poker chip\"},\n {\"box_2d\": [579, 387, 602, 563], \"label\": \"red poker chip\"},\n {\"box_2d\": [595, 387, 620, 563], \"label\": \"red poker chip\"},\n {\"box_2d\": [610, 387, 639, 565], \"label\": \"red poker chip\"},\n {\"box_2d\": [628, 387, 656, 565], \"label\": \"red poker chip\"},\n {\"box_2d\": [644, 387, 673, 566], \"label\": \"red poker chip\"},\n {\"box_2d\": [659, 387, 691, 566], \"label\": \"red poker chip\"},\n {\"box_2d\": [676, 387, 708, 568], \"label\": \"red poker chip\"},\n {\"box_2d\": [672, 574, 702, 761], \"label\": \"white poker chip\"},\n {\"box_2d\": [656, 574, 685, 761], \"label\": \"white poker chip\"},\n {\"box_2d\": [637, 574, 667, 761], \"label\": \"white poker chip\"},\n {\"box_2d\": [620, 572, 649, 761], \"label\": \"white poker chip\"},\n {\"box_2d\": [602, 571, 631, 759], \"label\": \"white poker chip\"},\n {\"box_2d\": [585, 569, 613, 759], \"label\": \"white poker chip\"},\n {\"box_2d\": [571, 569, 594, 758], \"label\": \"white poker chip\"},\n {\"box_2d\": [551, 571, 576, 758], \"label\": \"white poker chip\"},\n {\"box_2d\": [555, 756, 616, 958], \"label\": \"orange poker chip\"},\n {\"box_2d\": [588, 758, 634, 958], \"label\": \"orange poker chip\"},\n {\"box_2d\": [607, 759, 652, 959], \"label\": \"orange poker chip\"},\n {\"box_2d\": [624, 759, 672, 961], \"label\": \"orange poker chip\"},\n {\"box_2d\": [641, 761, 690, 961], \"label\": \"orange poker chip\"},\n {\"box_2d\": [659, 761, 708, 962], \"label\": \"orange poker chip\"},\n {\"box_2d\": [675, 761, 725, 962], \"label\": \"orange poker chip\"}\n]\n```", "correct": true, "input_tokens": 1243, "output_tokens": 1762, "elapsed_seconds": 20.164069707971066, "metadata": {"match_method": "map", "num_predictions": 49, "num_ground_truth": 49, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 20.1888}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 227, "image": "69_jpg.rf.832734e487772068d6b9bf469788de8f.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [78, 588, 405, 636], \"label\": \"blood sample tube\"},\n {\"box_2d\": [16, 634, 323, 748], \"label\": \"blood sample tube\"},\n {\"box_2d\": [350, 281, 409, 519], \"label\": \"blood sample tube\"},\n {\"box_2d\": [438, 494, 520, 736], \"label\": \"blood sample tube\"},\n {\"box_2d\": [534, 480, 747, 700], \"label\": \"blood sample tube\"}\n]\n```", "correct": true, "input_tokens": 1227, "output_tokens": 190, "elapsed_seconds": 4.493112207972445, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 5, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 4.5186}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 228, "image": "uav20221018_ixfZ_3857_431_png.rf.d4d8056faccd6284b96584515af21de0.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [72, 249, 102, 275], \"label\": \"banana tree\"},\n {\"box_2d\": [210, 442, 250, 488], \"label\": \"banana tree\"},\n {\"box_2d\": [139, 439, 181, 483], \"label\": \"banana tree\"},\n {\"box_2d\": [173, 496, 211, 535], \"label\": \"banana tree\"},\n {\"box_2d\": [109, 496, 139, 523], \"label\": \"banana tree\"},\n {\"box_2d\": [1, 433, 50, 471], \"label\": \"banana tree\"},\n {\"box_2d\": [237, 492, 288, 530], \"label\": \"banana tree\"},\n {\"box_2d\": [29, 184, 78, 227], \"label\": \"banana tree\"},\n {\"box_2d\": [70, 424, 113, 481], \"label\": \"banana tree\"},\n {\"box_2d\": [32, 492, 81, 531], \"label\": \"banana tree\"},\n {\"box_2d\": [0, 239, 39, 288], \"label\": \"banana tree\"},\n {\"box_2d\": [300, 678, 344, 709], \"label\": \"banana tree\"},\n {\"box_2d\": [329, 725, 373, 763], \"label\": \"banana tree\"},\n {\"box_2d\": [261, 724, 297, 755], \"label\": \"banana tree\"},\n {\"box_2d\": [228, 672, 270, 705], \"label\": \"banana tree\"},\n {\"box_2d\": [369, 674, 412, 706], \"label\": \"banana tree\"},\n {\"box_2d\": [120, 716, 165, 761], \"label\": \"banana tree\"},\n {\"box_2d\": [88, 661, 130, 702], \"label\": \"banana tree\"},\n {\"box_2d\": [161, 671, 200, 700], \"label\": \"banana tree\"},\n {\"box_2d\": [54, 713, 100, 756], \"label\": \"banana tree\"},\n {\"box_2d\": [15, 662, 60, 697], \"label\": \"banana tree\"},\n {\"box_2d\": [191, 718, 234, 753], \"label\": \"banana tree\"},\n {\"box_2d\": [31, 905, 74, 938], \"label\": \"banana tree\"},\n {\"box_2d\": [205, 962, 256, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [275, 969, 319, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [351, 974, 389, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [417, 984, 456, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [317, 927, 360, 965], \"label\": \"banana tree\"},\n {\"box_2d\": [140, 954, 180, 1000], \"label\": \"banana tree\"},\n {\"box_2d\": [65, 956, 111, 995], \"label\": \"banana tree\"},\n {\"box_2d\": [250, 923, 286, 952], \"label\": \"banana tree\"},\n {\"box_2d\": [109, 902, 150, 939], \"label\": \"banana tree\"},\n {\"box_2d\": [524, 940, 560, 974], \"label\": \"banana tree\"},\n {\"box_2d\": [457, 937, 497, 972], \"label\": \"banana tree\"},\n {\"box_2d\": [387, 934, 429, 965], \"label\": \"banana tree\"},\n {\"box_2d\": [179, 916, 212, 958], \"label\": \"banana tree\"}\n]\n```", "correct": true, "input_tokens": 1226, "output_tokens": 1258, "elapsed_seconds": 15.915462584001943, "metadata": {"match_method": "map", "num_predictions": 36, "num_ground_truth": 38, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9405940771102905, "attempts": 1, "retries": 0, "total_seconds": 16.0207}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 229, "image": "f39_jpg.rf.8a677bbf5bbbcde071dc3887db6e2b75.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [0, 353, 369, 777], \"label\": \"wildfire\"},\n {\"box_2d\": [0, 255, 240, 567], \"label\": \"wildfire\"},\n {\"box_2d\": [416, 444, 603, 569], \"label\": \"wildfire\"},\n {\"box_2d\": [329, 643, 801, 1000], \"label\": \"wildfire\"},\n {\"box_2d\": [0, 440, 594, 839], \"label\": \"wildfire\"}\n]\n```", "correct": false, "input_tokens": 1236, "output_tokens": 182, "elapsed_seconds": 5.730005042045377, "metadata": {"match_method": "map", "num_predictions": 5, "num_ground_truth": 1, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3333333432674408, "attempts": 1, "retries": 0, "total_seconds": 5.8582}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 230, "image": "wood-log-detection_003_png_jpg.rf.34aeb3fc6262ec00696c0cc722964b3e.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [56, 273, 94, 320], \"label\": \"log cross-section\"},\n {\"box_2d\": [86, 245, 114, 287], \"label\": \"log cross-section\"},\n {\"box_2d\": [90, 293, 121, 332], \"label\": \"log cross-section\"},\n {\"box_2d\": [77, 353, 102, 389], \"label\": \"log cross-section\"},\n {\"box_2d\": [84, 331, 108, 354], \"label\": \"log cross-section\"},\n {\"box_2d\": [105, 331, 134, 381], \"label\": \"log cross-section\"},\n {\"box_2d\": [121, 259, 146, 303], \"label\": \"log cross-section\"},\n {\"box_2d\": [110, 214, 137, 251], \"label\": \"log cross-section\"},\n {\"box_2d\": [131, 173, 165, 223], \"label\": \"log cross-section\"},\n {\"box_2d\": [140, 226, 173, 273], \"label\": \"log cross-section\"},\n {\"box_2d\": [150, 285, 174, 326], \"label\": \"log cross-section\"},\n {\"box_2d\": [134, 325, 168, 370], \"label\": \"log cross-section\"},\n {\"box_2d\": [162, 254, 192, 292], \"label\": \"log cross-section\"},\n {\"box_2d\": [168, 204, 200, 250], \"label\": \"log cross-section\"},\n {\"box_2d\": [167, 154, 196, 203], \"label\": \"log cross-section\"},\n {\"box_2d\": [189, 159, 217, 206], \"label\": \"log cross-section\"},\n {\"box_2d\": [199, 211, 236, 267], \"label\": \"log cross-section\"},\n {\"box_2d\": [232, 178, 255, 215], \"label\": \"log cross-section\"},\n {\"box_2d\": [304, 209, 332, 250], \"label\": \"log cross-section\"},\n {\"box_2d\": [295, 253, 319, 285], \"label\": \"log cross-section\"},\n {\"box_2d\": [332, 267, 350, 304], \"label\": \"log cross-section\"},\n {\"box_2d\": [296, 296, 320, 335], \"label\": \"log cross-section\"},\n {\"box_2d\": [326, 307, 350, 342], \"label\": \"log cross-section\"},\n {\"box_2d\": [310, 343, 338, 381], \"label\": \"log cross-section\"},\n {\"box_2d\": [330, 371, 348, 417], \"label\": \"log cross-section\"},\n {\"box_2d\": [199, 276, 224, 314], \"label\": \"log cross-section\"},\n {\"box_2d\": [199, 309, 239, 359], \"label\": \"log cross-section\"},\n {\"box_2d\": [237, 354, 267, 404], \"label\": \"log cross-section\"},\n {\"box_2d\": [174, 340, 199, 379], \"label\": \"log cross-section\"},\n {\"box_2d\": [198, 362, 230, 406], \"label\": \"log cross-section\"},\n {\"box_2d\": [223, 398, 245, 437], \"label\": \"log cross-section\"},\n {\"box_2d\": [229, 435, 267, 488], \"label\": \"log cross-section\"},\n {\"box_2d\": [202, 449, 232, 491], \"label\": \"log cross-section\"},\n {\"box_2d\": [206, 413, 232, 449], \"label\": \"log cross-section\"},\n {\"box_2d\": [181, 395, 208, 429], \"label\": \"log cross-section\"},\n {\"box_2d\": [178, 427, 204, 466], \"label\": \"log cross-section\"},\n {\"box_2d\": [147, 407, 176, 445], \"label\": \"log cross-section\"},\n {\"box_2d\": [137, 376, 165, 413], \"label\": \"log cross-section\"},\n {\"box_2d\": [103, 409, 125, 441], \"label\": \"log cross-section\"},\n {\"box_2d\": [52, 420, 77, 456], \"label\": \"log cross-section\"},\n {\"box_2d\": [112, 449, 139, 484], \"label\": \"log cross-section\"},\n {\"box_2d\": [139, 456, 168, 488], \"label\": \"log cross-section\"},\n {\"box_2d\": [112, 485, 146, 530], \"label\": \"log cross-section\"},\n {\"box_2d\": [140, 490, 170, 535], \"label\": \"log cross-section\"},\n {\"box_2d\": [189, 484, 214, 524], \"label\": \"log cross-section\"},\n {\"box_2d\": [199, 526, 226, 560], \"label\": \"log cross-section\"},\n {\"box_2d\": [184, 524, 204, 555], \"label\": \"log cross-section\"},\n {\"box_2d\": [136, 530, 165, 568], \"label\": \"log cross-section\"},\n {\"box_2d\": [108, 534, 137, 574], \"label\": \"log cross-section\"},\n {\"box_2d\": [108, 576, 145, 622], \"label\": \"log cross-section\"},\n {\"box_2d\": [83, 608, 121, 657], \"label\": \"log cross-section\"},\n {\"box_2d\": [137, 637, 168, 665], \"label\": \"log cross-section\"},\n {\"box_2d\": [142, 598, 178, 646], \"label\": \"log cross-section\"},\n {\"box_2d\": [125, 672, 156, 721], \"label\": \"log cross-section\"},\n {\"box_2d\": [168, 643, 192, 682], \"label\": \"log cross-section\"},\n {\"box_2d\": [181, 666, 205, 704], \"label\": \"log cross-section\"},\n {\"box_2d\": [199, 658, 223, 694], \"label\": \"log cross-section\"},\n {\"box_2d\": [206, 682, 239, 727], \"label\": \"log cross-section\"},\n {\"box_2d\": [243, 679, 271, 721], \"label\": \"log cross-section\"},\n {\"box_2d\": [261, 638, 294, 680], \"label\": \"log cross-section\"},\n {\"box_2d\": [224, 610, 260, 654], \"label\": \"log cross-section\"},\n {\"box_2d\": [186, 596, 214, 640], \"label\": \"log cross-section\"},\n {\"box_2d\": [174, 566, 204, 599], \"label\": \"log cross-section\"},\n {\"box_2d\": [220, 559, 245, 594], \"label\": \"log cross-section\"},\n {\"box_2d\": [249, 540, 285, 583], \"label\": \"log cross-section\"},\n {\"box_2d\": [254, 587, 288, 630], \"label\": \"log cross-section\"},\n {\"box_2d\": [299, 655, 326, 693], \"label\": \"log cross-section\"},\n {\"box_2d\": [311, 599, 336, 635], \"label\": \"log cross-section\"},\n {\"box_2d\": [301, 509, 338, 552], \"label\": \"log cross-section\"},\n {\"box_2d\": [305, 463, 332, 496], \"label\": \"log cross-section\"},\n {\"box_2d\": [301, 412, 329, 452], \"label\": \"log cross-section\"},\n {\"box_2d\": [230, 488, 261, 527], \"label\": \"log cross-section\"}\n]\n```", "correct": true, "input_tokens": 1228, "output_tokens": 2667, "elapsed_seconds": 22.296255917055532, "metadata": {"match_method": "map", "num_predictions": 72, "num_ground_truth": 78, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9207921028137207, "attempts": 1, "retries": 0, "total_seconds": 22.3215}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 231, "image": "basketball-player-detection_boston-celtics-new-york-knicks-game-1-q1-04-28-04-20-0185_png.rf.5bf3baa6a3ce5adfe29dab142647c8bc.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [508, 412, 870, 463], \"label\": \"player taking jump shot\"},\n {\"box_2d\": [512, 449, 795, 509], \"label\": \"player\"},\n {\"box_2d\": [686, 554, 987, 626], \"label\": \"referee\"},\n {\"box_2d\": [378, 278, 603, 333], \"label\": \"player\"},\n {\"box_2d\": [298, 300, 513, 332], \"label\": \"player\"},\n {\"box_2d\": [341, 149, 545, 217], \"label\": \"player\"},\n {\"box_2d\": [254, 141, 459, 189], \"label\": \"player\"},\n {\"box_2d\": [179, 379, 373, 420], \"label\": \"player\"},\n {\"box_2d\": [250, 454, 462, 505], \"label\": \"player\"},\n {\"box_2d\": [296, 573, 516, 643], \"label\": \"player\"},\n {\"box_2d\": [349, 616, 609, 670], \"label\": \"player\"},\n {\"box_2d\": [259, 695, 469, 738], \"label\": \"referee\"},\n {\"box_2d\": [199, 621, 267, 672], \"label\": \"basket rim\"},\n {\"box_2d\": [787, 591, 808, 603], \"label\": \"jersey number\"},\n {\"box_2d\": [652, 434, 678, 443], \"label\": \"jersey number\"},\n {\"box_2d\": [399, 646, 423, 654], \"label\": \"jersey number\"},\n {\"box_2d\": [356, 616, 377, 628], \"label\": \"jersey number\"},\n {\"box_2d\": [237, 399, 252, 412], \"label\": \"jersey number\"},\n {\"box_2d\": [398, 181, 421, 195], \"label\": \"jersey number\"},\n {\"box_2d\": [307, 155, 331, 169], \"label\": \"jersey number\"},\n {\"box_2d\": [210, 0, 418, 41], \"label\": \"referee\"},\n {\"box_2d\": [336, 469, 362, 487], \"label\": \"basketball\"}\n]\n```", "correct": false, "input_tokens": 1251, "output_tokens": 771, "elapsed_seconds": 66.00510325003415, "metadata": {"match_method": "map", "num_predictions": 22, "num_ground_truth": 23, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.7533003091812134, "attempts": 1, "retries": 0, "total_seconds": 66.1439}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 232, "image": "construction-safety_ppe_0016_jpg.rf.d53d80274c0b6fdd6cccc30b2f5316b2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [278, 747, 405, 853], \"label\": \"safety helmet\"},\n {\"box_2d\": [465, 748, 862, 902], \"label\": \"safety vest\"},\n {\"box_2d\": [278, 672, 1000, 902], \"label\": \"person\"},\n {\"box_2d\": [361, 679, 463, 777], \"label\": \"safety helmet\"},\n {\"box_2d\": [361, 603, 987, 796], \"label\": \"person\"},\n {\"box_2d\": [482, 689, 866, 796], \"label\": \"safety vest\"},\n {\"box_2d\": [306, 579, 418, 675], \"label\": \"safety helmet\"},\n {\"box_2d\": [461, 574, 800, 701], \"label\": \"safety vest\"},\n {\"box_2d\": [306, 574, 885, 720], \"label\": \"person\"},\n {\"box_2d\": [324, 485, 429, 575], \"label\": \"safety helmet\"},\n {\"box_2d\": [477, 458, 785, 593], \"label\": \"safety vest\"},\n {\"box_2d\": [324, 439, 956, 593], \"label\": \"person\"},\n {\"box_2d\": [326, 332, 424, 403], \"label\": \"safety helmet\"},\n {\"box_2d\": [482, 265, 850, 441], \"label\": \"safety vest\"},\n {\"box_2d\": [326, 252, 953, 449], \"label\": \"person\"},\n {\"box_2d\": [287, 185, 381, 261], \"label\": \"safety helmet\"},\n {\"box_2d\": [287, 134, 1000, 290], \"label\": \"person\"},\n {\"box_2d\": [322, 70, 440, 174], \"label\": \"safety helmet\"},\n {\"box_2d\": [322, 61, 1000, 292], \"label\": \"person\"},\n {\"box_2d\": [870, 859, 1000, 974], \"label\": \"safety vest\"}\n]\n```", "correct": true, "input_tokens": 1222, "output_tokens": 707, "elapsed_seconds": 107.12951687502209, "metadata": {"match_method": "map", "num_predictions": 20, "num_ground_truth": 19, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 108.6345}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 233, "image": "ind_jpeg_jpg.rf.838960e9a8a04626878832d54c63b122.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [769, 55, 833, 107], \"label\": \"dimension annotation\"},\n {\"box_2d\": [370, 69, 463, 200], \"label\": \"dimension annotation\"},\n {\"box_2d\": [397, 68, 513, 236], \"label\": \"dimension annotation\"},\n {\"box_2d\": [359, 533, 400, 616], \"label\": \"dimension annotation\"},\n {\"box_2d\": [654, 338, 738, 424], \"label\": \"dimension annotation\"},\n {\"box_2d\": [661, 428, 715, 513], \"label\": \"dimension annotation\"},\n {\"box_2d\": [727, 439, 789, 608], \"label\": \"dimension annotation\"},\n {\"box_2d\": [766, 452, 804, 575], \"label\": \"dimension annotation\"},\n {\"box_2d\": [790, 546, 833, 608], \"label\": \"dimension annotation\"},\n {\"box_2d\": [689, 845, 833, 960], \"label\": \"dimension annotation\"},\n {\"box_2d\": [637, 844, 689, 873], \"label\": \"dimension annotation\"},\n {\"box_2d\": [637, 717, 689, 845], \"label\": \"dimension annotation\"},\n {\"box_2d\": [637, 687, 709, 717], \"label\": \"dimension annotation\"},\n {\"box_2d\": [501, 314, 575, 410], \"label\": \"dimension annotation\"},\n {\"box_2d\": [506, 171, 604, 410], \"label\": \"dimension annotation\"},\n {\"box_2d\": [914, 208, 984, 978], \"label\": \"technical drawing table\"}\n]\n```", "correct": false, "input_tokens": 1233, "output_tokens": 570, "elapsed_seconds": 22.8449872500496, "metadata": {"match_method": "map", "num_predictions": 16, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.4999999403953552, "attempts": 1, "retries": 0, "total_seconds": 22.8602}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 234, "image": "frame_0102_jpg.rf.17d6c3b1d93b1bd2e8d8880687a7f794.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [39, 340, 72, 360], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [36, 393, 74, 415], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [45, 449, 80, 471], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [46, 505, 81, 529], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [132, 502, 169, 524], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [132, 444, 169, 466], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [125, 386, 161, 408], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [123, 330, 159, 353], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [217, 333, 256, 358], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [224, 391, 265, 415], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [229, 449, 272, 476], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [248, 511, 289, 535], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [349, 506, 394, 532], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [330, 442, 376, 470], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [324, 381, 369, 408], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [314, 323, 355, 349], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [417, 307, 459, 334], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [425, 366, 471, 394], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [435, 428, 481, 456], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [454, 491, 500, 518], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [568, 502, 619, 529], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [556, 437, 606, 466], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [539, 373, 591, 401], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [525, 313, 574, 340], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [633, 301, 682, 329], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [652, 362, 699, 389], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [670, 427, 718, 454], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [686, 491, 735, 518], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [801, 488, 847, 515], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [781, 421, 830, 450], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [765, 357, 811, 385], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [746, 297, 793, 324], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [860, 305, 907, 333], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [882, 366, 930, 394], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [897, 431, 945, 459], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [914, 495, 962, 522], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [957, 293, 999, 320], \"label\": \"soda bottle cap\"},\n {\"box_2d\": [975, 351, 999, 377], \"label\": \"soda bottle cap\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 1372, "elapsed_seconds": 56.45260441605933, "metadata": {"match_method": "map", "num_predictions": 38, "num_ground_truth": 38, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 57.1518}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 235, "image": "tile_559_jpg.rf.2e36153b3f0a023e43755fc06e0c32dc.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [5, 325, 29, 378], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [216, 449, 238, 534], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [324, 250, 360, 349], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [741, 350, 759, 431], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [666, 666, 686, 750], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [886, 0, 905, 76], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [958, 550, 982, 601], \"label\": \"ship in SAR satellite image\"},\n {\"box_2d\": [928, 774, 954, 860], \"label\": \"ship in SAR satellite image\"}\n]\n```", "correct": true, "input_tokens": 1229, "output_tokens": 310, "elapsed_seconds": 6.104276834055781, "metadata": {"match_method": "map", "num_predictions": 8, "num_ground_truth": 8, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 6.151}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 236, "image": "frame_0555_jpg.rf.e5603989fbc45aefce0b30f65bdbe361.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [785, 241, 864, 289], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [742, 344, 822, 392], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [612, 232, 691, 280], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [463, 234, 535, 279], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [250, 255, 315, 291], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [82, 234, 145, 282], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 267, 42, 307], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 342, 42, 386], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [65, 346, 129, 391], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [163, 336, 233, 372], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [219, 353, 277, 388], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [298, 369, 362, 409], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [406, 357, 467, 394], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [493, 346, 558, 386], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [375, 434, 439, 477], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [222, 442, 302, 479], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [28, 430, 81, 463], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [46, 536, 106, 570], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [0, 594, 49, 623], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [139, 540, 196, 572], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [464, 548, 526, 584], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [584, 579, 654, 621], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [729, 603, 804, 646], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [770, 484, 850, 526], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [797, 450, 882, 489], \"label\": \"garlic on conveyor\"},\n {\"box_2d\": [423, 653, 486, 694], \"label\": \"garlic on conveyor\"}\n]\n```", "correct": true, "input_tokens": 1238, "output_tokens": 934, "elapsed_seconds": 31.101068458054215, "metadata": {"match_method": "map", "num_predictions": 26, "num_ground_truth": 23, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9172801971435547, "attempts": 1, "retries": 0, "total_seconds": 31.2488}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 237, "image": "DJI_0236_JPG_jpg.rf.d7ac178bd4662b9ae881e21c92284693.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [723, 556, 895, 626], \"label\": \"excavator\"},\n {\"box_2d\": [461, 381, 491, 439], \"label\": \"dump truck\"},\n {\"box_2d\": [376, 543, 412, 560], \"label\": \"concrete mixer\"},\n {\"box_2d\": [206, 932, 833, 1000], \"label\": \"tower crane\"},\n {\"box_2d\": [163, 822, 366, 946], \"label\": \"tower crane\"},\n {\"box_2d\": [416, 230, 441, 273], \"label\": \"dump truck\"}\n]\n```", "correct": true, "input_tokens": 1209, "output_tokens": 224, "elapsed_seconds": 108.66106541699264, "metadata": {"match_method": "map", "num_predictions": 6, "num_ground_truth": 6, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 109.8387}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 238, "image": "9999981_00000_d_0000108_jpg.rf.808757c317fef3db00edefab735a3c05.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [540, 325, 628, 377], \"label\": \"car\"},\n {\"box_2d\": [288, 229, 360, 273], \"label\": \"car\"},\n {\"box_2d\": [59, 148, 171, 200], \"label\": \"truck\"},\n {\"box_2d\": [259, 483, 323, 521], \"label\": \"car\"},\n {\"box_2d\": [209, 497, 273, 543], \"label\": \"car\"},\n {\"box_2d\": [199, 405, 267, 444], \"label\": \"car\"},\n {\"box_2d\": [82, 439, 146, 476], \"label\": \"car\"},\n {\"box_2d\": [1, 405, 56, 438], \"label\": \"car\"},\n {\"box_2d\": [24, 407, 46, 415], \"label\": \"person\"},\n {\"box_2d\": [925, 452, 1000, 527], \"label\": \"car\"},\n {\"box_2d\": [870, 391, 902, 416], \"label\": \"motorcycle\"},\n {\"box_2d\": [891, 343, 914, 359], \"label\": \"motorcycle\"},\n {\"box_2d\": [909, 198, 978, 237], \"label\": \"tricycle\"},\n {\"box_2d\": [841, 173, 885, 208], \"label\": \"tricycle\"},\n {\"box_2d\": [809, 761, 899, 821], \"label\": \"car\"},\n {\"box_2d\": [785, 735, 868, 795], \"label\": \"car\"},\n {\"box_2d\": [539, 738, 608, 809], \"label\": \"car\"},\n {\"box_2d\": [395, 571, 505, 691], \"label\": \"bus\"},\n {\"box_2d\": [368, 657, 424, 714], \"label\": \"car\"},\n {\"box_2d\": [306, 556, 333, 566], \"label\": \"person\"},\n {\"box_2d\": [387, 770, 404, 779], \"label\": \"person\"},\n {\"box_2d\": [427, 750, 447, 763], \"label\": \"person\"},\n {\"box_2d\": [924, 950, 963, 986], \"label\": \"bike\"},\n {\"box_2d\": [65, 11, 121, 41], \"label\": \"car\"},\n {\"box_2d\": [117, 19, 204, 59], \"label\": \"van\"},\n {\"box_2d\": [288, 59, 360, 89], \"label\": \"van\"},\n {\"box_2d\": [366, 84, 425, 114], \"label\": \"car\"},\n {\"box_2d\": [529, 129, 604, 169], \"label\": \"truck\"}\n]\n```", "correct": false, "input_tokens": 1214, "output_tokens": 952, "elapsed_seconds": 12.7037378330715, "metadata": {"match_method": "map", "num_predictions": 28, "num_ground_truth": 46, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.440726637840271, "attempts": 1, "retries": 0, "total_seconds": 12.8112}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 239, "image": "egg-detection_image381_jpg.rf.26b6182b9e6a29f3cd96c54029e234f8.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [708, 479, 770, 517], \"label\": \"egg\"},\n {\"box_2d\": [712, 417, 768, 456], \"label\": \"egg\"},\n {\"box_2d\": [678, 383, 738, 419], \"label\": \"egg\"},\n {\"box_2d\": [590, 302, 646, 338], \"label\": \"egg\"},\n {\"box_2d\": [532, 316, 597, 349], \"label\": \"egg\"},\n {\"box_2d\": [264, 559, 332, 591], \"label\": \"egg\"},\n {\"box_2d\": [290, 481, 352, 518], \"label\": \"egg\"},\n {\"box_2d\": [244, 464, 301, 505], \"label\": \"egg\"},\n {\"box_2d\": [309, 427, 377, 459], \"label\": \"egg\"},\n {\"box_2d\": [244, 419, 308, 456], \"label\": \"egg\"},\n {\"box_2d\": [165, 371, 220, 407], \"label\": \"egg\"},\n {\"box_2d\": [92, 385, 148, 421], \"label\": \"egg\"},\n {\"box_2d\": [64, 427, 125, 456], \"label\": \"egg\"},\n {\"box_2d\": [13, 433, 66, 466], \"label\": \"egg\"},\n {\"box_2d\": [31, 471, 91, 501], \"label\": \"egg\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 516, "elapsed_seconds": 12.712569750030525, "metadata": {"match_method": "map", "num_predictions": 15, "num_ground_truth": 15, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 12.8582}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 240, "image": "A16150-1C_2025_NCPT-175_JPG_jpg.rf.2c6e330d745fc218d09f761944d1e142.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [17, 250, 99, 275], \"label\": \"potato\"},\n {\"box_2d\": [99, 248, 161, 274], \"label\": \"potato\"},\n {\"box_2d\": [10, 297, 56, 315], \"label\": \"potato\"},\n {\"box_2d\": [54, 295, 105, 317], \"label\": \"potato\"},\n {\"box_2d\": [104, 289, 162, 315], \"label\": \"potato\"},\n {\"box_2d\": [162, 286, 242, 316], \"label\": \"potato\"},\n {\"box_2d\": [242, 286, 316, 317], \"label\": \"potato\"},\n {\"box_2d\": [412, 281, 514, 318], \"label\": \"potato\"},\n {\"box_2d\": [579, 286, 646, 310], \"label\": \"potato\"},\n {\"box_2d\": [650, 276, 742, 315], \"label\": \"potato\"},\n {\"box_2d\": [751, 285, 816, 309], \"label\": \"potato\"},\n {\"box_2d\": [923, 284, 987, 312], \"label\": \"potato\"},\n {\"box_2d\": [7, 332, 92, 366], \"label\": \"potato\"},\n {\"box_2d\": [93, 331, 171, 363], \"label\": \"potato\"},\n {\"box_2d\": [172, 331, 244, 361], \"label\": \"potato\"},\n {\"box_2d\": [244, 325, 335, 363], \"label\": \"potato\"},\n {\"box_2d\": [336, 324, 424, 360], \"label\": \"potato\"},\n {\"box_2d\": [442, 330, 517, 360], \"label\": \"potato\"},\n {\"box_2d\": [517, 326, 594, 357], \"label\": \"potato\"},\n {\"box_2d\": [702, 327, 777, 357], \"label\": \"potato\"},\n {\"box_2d\": [779, 327, 853, 354], \"label\": \"potato\"},\n {\"box_2d\": [922, 326, 1000, 352], \"label\": \"potato\"},\n {\"box_2d\": [920, 365, 999, 400], \"label\": \"potato\"},\n {\"box_2d\": [763, 367, 849, 400], \"label\": \"potato\"},\n {\"box_2d\": [689, 369, 761, 400], \"label\": \"potato\"},\n {\"box_2d\": [482, 371, 576, 409], \"label\": \"potato\"},\n {\"box_2d\": [387, 369, 485, 406], \"label\": \"potato\"},\n {\"box_2d\": [336, 366, 386, 389], \"label\": \"potato\"},\n {\"box_2d\": [266, 375, 351, 409], \"label\": \"potato\"},\n {\"box_2d\": [191, 376, 266, 406], \"label\": \"potato\"},\n {\"box_2d\": [110, 375, 190, 405], \"label\": \"potato\"},\n {\"box_2d\": [18, 379, 95, 410], \"label\": \"potato\"},\n {\"box_2d\": [4, 415, 89, 453], \"label\": \"potato\"},\n {\"box_2d\": [86, 414, 195, 461], \"label\": \"potato\"},\n {\"box_2d\": [195, 417, 275, 451], \"label\": \"potato\"},\n {\"box_2d\": [350, 416, 436, 449], \"label\": \"potato\"},\n {\"box_2d\": [438, 417, 526, 450], \"label\": \"potato\"},\n {\"box_2d\": [526, 417, 603, 448], \"label\": \"potato\"},\n {\"box_2d\": [603, 412, 687, 446], \"label\": \"potato\"},\n {\"box_2d\": [687, 412, 779, 444], \"label\": \"potato\"},\n {\"box_2d\": [918, 456, 994, 488], \"label\": \"potato\"},\n {\"box_2d\": [729, 455, 825, 497], \"label\": \"potato\"},\n {\"box_2d\": [411, 461, 502, 497], \"label\": \"potato\"},\n {\"box_2d\": [339, 461, 412, 490], \"label\": \"potato\"},\n {\"box_2d\": [266, 464, 335, 491], \"label\": \"potato\"},\n {\"box_2d\": [139, 457, 255, 497], \"label\": \"potato\"},\n {\"box_2d\": [80, 467, 140, 494], \"label\": \"potato\"},\n {\"box_2d\": [8, 467, 80, 495], \"label\": \"potato\"},\n {\"box_2d\": [5, 509, 77, 538], \"label\": \"potato\"},\n {\"box_2d\": [77, 508, 142, 538], \"label\": \"potato\"},\n {\"box_2d\": [140, 507, 243, 545], \"label\": \"potato\"},\n {\"box_2d\": [243, 506, 339, 548], \"label\": \"potato\"},\n {\"box_2d\": [494, 498, 588, 537], \"label\": \"potato\"},\n {\"box_2d\": [683, 497, 800, 547], \"label\": \"potato\"},\n {\"box_2d\": [925, 542, 1000, 574], \"label\": \"potato\"},\n {\"box_2d\": [788, 542, 879, 580], \"label\": \"potato\"},\n {\"box_2d\": [690, 549, 745, 573], \"label\": \"potato\"},\n {\"box_2d\": [494, 549, 569, 581], \"label\": \"potato\"},\n {\"box_2d\": [232, 552, 319, 581], \"label\": \"potato\"},\n {\"box_2d\": [151, 551, 232, 583], \"label\": \"potato\"},\n {\"box_2d\": [7, 552, 84, 583], \"label\": \"potato\"},\n {\"box_2d\": [5, 597, 74, 630], \"label\": \"potato\"},\n {\"box_2d\": [71, 595, 173, 633], \"label\": \"potato\"},\n {\"box_2d\": [169, 596, 257, 630], \"label\": \"potato\"},\n {\"box_2d\": [309, 594, 419, 637], \"label\": \"potato\"},\n {\"box_2d\": [648, 586, 731, 619], \"label\": \"potato\"},\n {\"box_2d\": [817, 625, 938, 663], \"label\": \"potato\"},\n {\"box_2d\": [509, 639, 574, 663], \"label\": \"potato\"},\n {\"box_2d\": [371, 639, 441, 667], \"label\": \"potato\"},\n {\"box_2d\": [258, 642, 323, 668], \"label\": \"potato\"},\n {\"box_2d\": [158, 640, 234, 670], \"label\": \"potato\"},\n {\"box_2d\": [86, 640, 158, 670], \"label\": \"potato\"},\n {\"box_2d\": [2, 631, 88, 667], \"label\": \"potato\"},\n {\"box_2d\": [62, 684, 132, 713], \"label\": \"potato\"},\n {\"box_2d\": [16, 728, 99, 761], \"label\": \"potato\"},\n {\"box_2d\": [21, 814, 84, 842], \"label\": \"potato\"},\n {\"box_2d\": [290, 768, 357, 790], \"label\": \"potato\"},\n {\"box_2d\": [329, 811, 388, 836], \"label\": \"potato\"},\n {\"box_2d\": [315, 850, 394, 878], \"label\": \"potato\"},\n {\"box_2d\": [442, 767, 518, 796], \"label\": \"potato\"},\n {\"box_2d\": [520, 723, 608, 763], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1236, "output_tokens": 2728, "elapsed_seconds": 50.8933975410182, "metadata": {"match_method": "map", "num_predictions": 81, "num_ground_truth": 81, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 51.6176}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 241, "image": "lot251_JPEG_jpg.rf.5ae906b5fd537b40c5fabb806ecf5fd9.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [562, 148, 588, 183], \"label\": \"chicory seed\"},\n {\"box_2d\": [327, 261, 363, 282], \"label\": \"chicory seed\"},\n {\"box_2d\": [468, 402, 504, 419], \"label\": \"chicory seed\"},\n {\"box_2d\": [416, 463, 431, 503], \"label\": \"chicory seed\"},\n {\"box_2d\": [666, 446, 682, 485], \"label\": \"chicory seed\"},\n {\"box_2d\": [512, 517, 549, 544], \"label\": \"chicory seed\"},\n {\"box_2d\": [447, 757, 480, 777], \"label\": \"chicory seed\"},\n {\"box_2d\": [630, 560, 661, 584], \"label\": \"chicory seed\"},\n {\"box_2d\": [278, 376, 297, 409], \"label\": \"chicory seed\"},\n {\"box_2d\": [291, 646, 309, 681], \"label\": \"chicory seed\"},\n {\"box_2d\": [592, 369, 610, 404], \"label\": \"chicory seed\"},\n {\"box_2d\": [498, 690, 534, 715], \"label\": \"chicory seed\"},\n {\"box_2d\": [219, 493, 250, 517], \"label\": \"chicory seed\"},\n {\"box_2d\": [425, 305, 446, 342], \"label\": \"chicory seed\"},\n {\"box_2d\": [323, 398, 360, 416], \"label\": \"chicory seed\"},\n {\"box_2d\": [411, 217, 446, 244], \"label\": \"chicory seed\"},\n {\"box_2d\": [296, 209, 321, 246], \"label\": \"chicory seed\"},\n {\"box_2d\": [315, 323, 332, 363], \"label\": \"chicory seed\"},\n {\"box_2d\": [489, 340, 523, 358], \"label\": \"chicory seed\"},\n {\"box_2d\": [617, 675, 657, 697], \"label\": \"chicory seed\"},\n {\"box_2d\": [294, 510, 327, 533], \"label\": \"chicory seed\"},\n {\"box_2d\": [314, 571, 347, 603], \"label\": \"chicory seed\"},\n {\"box_2d\": [520, 496, 557, 522], \"label\": \"chicory seed\"},\n {\"box_2d\": [341, 494, 373, 522], \"label\": \"chicory seed\"},\n {\"box_2d\": [667, 521, 699, 556], \"label\": \"chicory seed\"},\n {\"box_2d\": [336, 749, 369, 774], \"label\": \"chicory seed\"},\n {\"box_2d\": [356, 467, 389, 496], \"label\": \"chicory seed\"},\n {\"box_2d\": [243, 639, 281, 665], \"label\": \"chicory seed\"},\n {\"box_2d\": [203, 319, 224, 353], \"label\": \"chicory seed\"},\n {\"box_2d\": [623, 348, 651, 381], \"label\": \"chicory seed\"},\n {\"box_2d\": [504, 141, 529, 177], \"label\": \"chicory seed\"},\n {\"box_2d\": [202, 285, 223, 322], \"label\": \"chicory seed\"},\n {\"box_2d\": [377, 712, 412, 738], \"label\": \"chicory seed\"},\n {\"box_2d\": [699, 554, 731, 575], \"label\": \"chicory seed\"},\n {\"box_2d\": [659, 672, 690, 700], \"label\": \"chicory seed\"},\n {\"box_2d\": [556, 495, 587, 530], \"label\": \"chicory seed\"},\n {\"box_2d\": [757, 349, 775, 387], \"label\": \"chicory seed\"},\n {\"box_2d\": [715, 421, 748, 444], \"label\": \"chicory seed\"},\n {\"box_2d\": [527, 400, 560, 422], \"label\": \"chicory seed\"},\n {\"box_2d\": [224, 401, 251, 435], \"label\": \"chicory seed\"},\n {\"box_2d\": [357, 309, 391, 329], \"label\": \"chicory seed\"},\n {\"box_2d\": [501, 236, 536, 258], \"label\": \"chicory seed\"},\n {\"box_2d\": [602, 597, 622, 636], \"label\": \"chicory seed\"},\n {\"box_2d\": 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{\"box_2d\": [485, 306, 517, 336], \"label\": \"chicory seed\"},\n {\"box_2d\": [571, 709, 605, 738], \"label\": \"chicory seed\"},\n {\"box_2d\": [186, 363, 211, 404], \"label\": \"chicory seed\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 10776, "elapsed_seconds": 78.37241066689603, "metadata": {"match_method": "map", "num_predictions": 299, "num_ground_truth": 300, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.3203139305114746, "attempts": 1, "retries": 0, "total_seconds": 78.4932}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 242, "image": "4105625_ContRightUpper_f_jpg.rf.262f5072bce0f2365a2193d631224fd1.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [323, 0, 505, 162], \"label\": \"shipping container wall dent\"}\n]\n```", "correct": false, "input_tokens": 1255, "output_tokens": 47, "elapsed_seconds": 22.57098370906897, "metadata": {"match_method": "map", "num_predictions": 1, "num_ground_truth": 16, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.0, "attempts": 1, "retries": 0, "total_seconds": 22.7153}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 243, "image": "18_jpeg_jpg.rf.b131f08c745acace9daeeea095e0d1ef.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [283, 845, 405, 968], \"label\": \"potato\"},\n {\"box_2d\": [88, 444, 180, 540], \"label\": \"potato\"},\n {\"box_2d\": [84, 19, 191, 108], \"label\": \"potato\"},\n {\"box_2d\": [90, 886, 212, 987], \"label\": \"potato\"},\n {\"box_2d\": [498, 449, 594, 535], \"label\": \"potato\"},\n {\"box_2d\": [500, 613, 603, 699], \"label\": \"potato\"},\n {\"box_2d\": [498, 875, 597, 956], \"label\": \"potato\"},\n {\"box_2d\": [504, 1, 684, 60], \"label\": \"potato\"},\n {\"box_2d\": [493, 236, 622, 323], \"label\": \"potato\"},\n {\"box_2d\": [300, 179, 390, 261], \"label\": \"potato\"},\n {\"box_2d\": [702, 141, 811, 249], \"label\": \"potato\"},\n {\"box_2d\": [721, 542, 817, 627], \"label\": \"potato\"},\n {\"box_2d\": [715, 665, 817, 749], \"label\": \"potato\"},\n {\"box_2d\": [689, 936, 792, 1000], \"label\": \"potato\"},\n {\"box_2d\": [721, 355, 819, 476], \"label\": \"potato\"},\n {\"box_2d\": [906, 147, 998, 254], \"label\": \"potato\"},\n {\"box_2d\": [904, 596, 998, 691], \"label\": \"potato\"},\n {\"box_2d\": [871, 916, 985, 1000], \"label\": \"potato\"}\n]\n```", "correct": true, "input_tokens": 1240, "output_tokens": 619, "elapsed_seconds": 8.050019292044453, "metadata": {"match_method": "map", "num_predictions": 18, "num_ground_truth": 18, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 8.0943}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 244, "image": "lot312_JPEG_jpg.rf.6c72b39304c1a45a005f911f32e89494.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [134, 480, 159, 520], \"label\": \"chicory seed\"},\n {\"box_2d\": [140, 417, 169, 459], \"label\": \"chicory seed\"},\n {\"box_2d\": [153, 381, 181, 417], \"label\": \"chicory seed\"},\n {\"box_2d\": [166, 323, 194, 363], \"label\": \"chicory seed\"},\n {\"box_2d\": [181, 357, 211, 398], \"label\": \"chicory seed\"},\n {\"box_2d\": [191, 314, 218, 357], \"label\": \"chicory seed\"},\n {\"box_2d\": [190, 390, 218, 430], \"label\": \"chicory seed\"},\n {\"box_2d\": [213, 344, 238, 388], \"label\": \"chicory seed\"},\n {\"box_2d\": [216, 265, 241, 309], \"label\": \"chicory seed\"},\n {\"box_2d\": [224, 310, 250, 351], \"label\": \"chicory seed\"},\n {\"box_2d\": [218, 376, 250, 415], \"label\": \"chicory seed\"},\n {\"box_2d\": [225, 396, 265, 430], \"label\": \"chicory seed\"},\n {\"box_2d\": [238, 348, 271, 388], \"label\": \"chicory seed\"},\n {\"box_2d\": [264, 376, 294, 417], \"label\": \"chicory seed\"},\n {\"box_2d\": [210, 427, 250, 464], \"label\": \"chicory seed\"},\n {\"box_2d\": [243, 427, 276, 468], \"label\": \"chicory seed\"},\n {\"box_2d\": [215, 470, 260, 498], \"label\": \"chicory seed\"},\n {\"box_2d\": [193, 449, 222, 490], \"label\": \"chicory seed\"},\n {\"box_2d\": [173, 462, 198, 504], \"label\": \"chicory seed\"},\n {\"box_2d\": [155, 469, 181, 511], \"label\": \"chicory seed\"},\n {\"box_2d\": [193, 488, 234, 517], \"label\": \"chicory seed\"},\n {\"box_2d\": [140, 538, 166, 581], \"label\": \"chicory seed\"},\n {\"box_2d\": [151, 583, 180, 623], \"label\": \"chicory seed\"},\n {\"box_2d\": [160, 542, 185, 584], \"label\": \"chicory seed\"},\n {\"box_2d\": [184, 529, 211, 577], \"label\": \"chicory seed\"},\n {\"box_2d\": [174, 577, 214, 610], \"label\": \"chicory seed\"},\n {\"box_2d\": [171, 610, 203, 651], \"label\": \"chicory seed\"},\n {\"box_2d\": [170, 658, 199, 699], \"label\": \"chicory seed\"},\n {\"box_2d\": [196, 667, 220, 706], \"label\": \"chicory seed\"},\n {\"box_2d\": [216, 655, 249, 696], \"label\": \"chicory seed\"},\n {\"box_2d\": [218, 605, 244, 649], \"label\": \"chicory seed\"},\n {\"box_2d\": [214, 563, 241, 606], \"label\": \"chicory seed\"},\n {\"box_2d\": [204, 529, 231, 567], \"label\": \"chicory seed\"},\n {\"box_2d\": [229, 515, 253, 560], \"label\": \"chicory seed\"},\n {\"box_2d\": [244, 533, 270, 574], \"label\": \"chicory seed\"},\n {\"box_2d\": [244, 500, 281, 539], \"label\": \"chicory seed\"},\n {\"box_2d\": [260, 465, 288, 507], \"label\": \"chicory seed\"},\n {\"box_2d\": [268, 413, 297, 458], \"label\": \"chicory seed\"},\n {\"box_2d\": [283, 449, 311, 492], \"label\": \"chicory seed\"},\n {\"box_2d\": [271, 492, 309, 531], \"label\": \"chicory seed\"},\n {\"box_2d\": [268, 533, 313, 562], \"label\": \"chicory seed\"},\n {\"box_2d\": [258, 570, 297, 608], \"label\": \"chicory seed\"},\n {\"box_2d\": [241, 594, 284, 626], \"label\": \"chicory seed\"},\n {\"box_2d\": [244, 669, 289, 699], \"label\": \"chicory seed\"},\n {\"box_2d\": [277, 628, 313, 668], \"label\": \"chicory seed\"},\n {\"box_2d\": [212, 730, 245, 769], \"label\": \"chicory seed\"},\n {\"box_2d\": [250, 749, 274, 792], \"label\": \"chicory seed\"},\n {\"box_2d\": [261, 699, 289, 740], \"label\": \"chicory seed\"},\n {\"box_2d\": [272, 736, 299, 777], \"label\": \"chicory seed\"},\n {\"box_2d\": [286, 695, 316, 735], \"label\": \"chicory seed\"},\n {\"box_2d\": [289, 661, 330, 695], \"label\": \"chicory seed\"},\n {\"box_2d\": [317, 636, 343, 681], \"label\": \"chicory seed\"},\n {\"box_2d\": [307, 591, 349, 617], \"label\": \"chicory seed\"},\n {\"box_2d\": [301, 545, 335, 584], \"label\": \"chicory seed\"},\n {\"box_2d\": [332, 531, 360, 574], \"label\": \"chicory seed\"},\n {\"box_2d\": [301, 501, 333, 541], \"label\": \"chicory seed\"},\n {\"box_2d\": [311, 474, 336, 517], \"label\": \"chicory seed\"},\n {\"box_2d\": [333, 480, 358, 524], \"label\": \"chicory seed\"},\n {\"box_2d\": [294, 412, 323, 457], \"label\": \"chicory seed\"},\n {\"box_2d\": [291, 383, 334, 411], \"label\": \"chicory seed\"},\n {\"box_2d\": [307, 405, 350, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [323, 433, 354, 477], \"label\": \"chicory seed\"},\n {\"box_2d\": [344, 419, 371, 463], \"label\": \"chicory seed\"},\n {\"box_2d\": [354, 464, 384, 509], \"label\": \"chicory seed\"},\n {\"box_2d\": [370, 434, 399, 477], \"label\": \"chicory seed\"},\n {\"box_2d\": [379, 474, 414, 514], \"label\": \"chicory seed\"},\n {\"box_2d\": [368, 521, 408, 558], \"label\": \"chicory seed\"},\n {\"box_2d\": [365, 553, 404, 583], \"label\": \"chicory seed\"},\n {\"box_2d\": [362, 587, 398, 634], \"label\": \"chicory seed\"},\n {\"box_2d\": [391, 419, 421, 456], \"label\": \"chicory seed\"},\n {\"box_2d\": [352, 384, 385, 424], \"label\": \"chicory seed\"},\n {\"box_2d\": [317, 360, 358, 398], \"label\": \"chicory seed\"},\n {\"box_2d\": [345, 353, 386, 384], \"label\": \"chicory seed\"},\n {\"box_2d\": [314, 327, 356, 356], \"label\": \"chicory seed\"},\n {\"box_2d\": [279, 332, 309, 373], \"label\": \"chicory seed\"},\n {\"box_2d\": [238, 205, 273, 243], \"label\": \"chicory seed\"},\n {\"box_2d\": [254, 241, 278, 283], \"label\": \"chicory seed\"},\n {\"box_2d\": [278, 234, 304, 277], \"label\": \"chicory seed\"},\n {\"box_2d\": [280, 174, 315, 211], \"label\": \"chicory seed\"},\n {\"box_2d\": [286, 259, 313, 299], \"label\": \"chicory seed\"},\n {\"box_2d\": [296, 283, 329, 332], \"label\": \"chicory seed\"},\n {\"box_2d\": [302, 211, 327, 256], \"label\": \"chicory seed\"},\n {\"box_2d\": [318, 156, 345, 195], \"label\": \"chicory seed\"},\n {\"box_2d\": [316, 238, 349, 281], \"label\": \"chicory seed\"},\n {\"box_2d\": [332, 272, 358, 318], \"label\": \"chicory seed\"},\n {\"box_2d\": [357, 283, 383, 328], \"label\": \"chicory seed\"},\n {\"box_2d\": [375, 295, 412, 333], \"label\": \"chicory seed\"},\n {\"box_2d\": [391, 313, 430, 350], \"label\": \"chicory seed\"},\n {\"box_2d\": [410, 337, 439, 380], \"label\": \"chicory seed\"},\n {\"box_2d\": [381, 272, 421, 298], \"label\": \"chicory seed\"},\n {\"box_2d\": [391, 245, 431, 273], \"label\": \"chicory seed\"},\n {\"box_2d\": [354, 226, 381, 271], \"label\": \"chicory seed\"},\n {\"box_2d\": [377, 206, 405, 249], \"label\": \"chicory seed\"},\n {\"box_2d\": [356, 176, 382, 216], \"label\": \"chicory seed\"},\n {\"box_2d\": [360, 130, 396, 166], \"label\": \"chicory seed\"},\n {\"box_2d\": [376, 160, 403, 203], \"label\": \"chicory seed\"},\n {\"box_2d\": [416, 114, 452, 141], \"label\": \"chicory seed\"},\n {\"box_2d\": [451, 109, 476, 143], \"label\": \"chicory seed\"},\n {\"box_2d\": [468, 108, 494, 151], \"label\": \"chicory seed\"},\n {\"box_2d\": [493, 111, 517, 151], \"label\": \"chicory seed\"},\n {\"box_2d\": [526, 106, 565, 138], \"label\": \"chicory seed\"},\n {\"box_2d\": [528, 143, 553, 186], \"label\": \"chicory seed\"},\n {\"box_2d\": [459, 183, 490, 225], \"label\": \"chicory seed\"},\n {\"box_2d\": [485, 190, 518, 230], \"label\": \"chicory seed\"},\n {\"box_2d\": [508, 208, 543, 248], \"label\": \"chicory seed\"},\n {\"box_2d\": [429, 281, 457, 323], \"label\": \"chicory seed\"},\n {\"box_2d\": [455, 252, 484, 291], \"label\": \"chicory seed\"},\n {\"box_2d\": [450, 292, 492, 326], \"label\": \"chicory seed\"},\n {\"box_2d\": [438, 317, 479, 351], \"label\": \"chicory seed\"},\n {\"box_2d\": [447, 335, 484, 372], \"label\": \"chicory seed\"},\n {\"box_2d\": [469, 358, 508, 386], \"label\": \"chicory seed\"},\n {\"box_2d\": [481, 323, 514, 361], \"label\": \"chicory seed\"},\n {\"box_2d\": [474, 278, 509, 318], \"label\": \"chicory seed\"},\n {\"box_2d\": [498, 265, 538, 297], \"label\": \"chicory seed\"},\n {\"box_2d\": [530, 247, 559, 287], \"label\": \"chicory seed\"},\n {\"box_2d\": [518, 295, 546, 338], \"label\": \"chicory seed\"},\n {\"box_2d\": [545, 280, 575, 323], \"label\": \"chicory seed\"},\n {\"box_2d\": [512, 363, 548, 405], \"label\": \"chicory seed\"},\n {\"box_2d\": [443, 390, 469, 431], \"label\": \"chicory seed\"},\n {\"box_2d\": [469, 392, 500, 433], \"label\": \"chicory seed\"},\n {\"box_2d\": [490, 399, 521, 442], \"label\": \"chicory seed\"},\n {\"box_2d\": [451, 440, 493, 469], \"label\": \"chicory seed\"},\n {\"box_2d\": [468, 484, 506, 517], \"label\": \"chicory seed\"},\n {\"box_2d\": [443, 501, 475, 542], \"label\": \"chicory seed\"},\n {\"box_2d\": [473, 548, 512, 574], \"label\": \"chicory seed\"},\n {\"box_2d\": [514, 456, 543, 500], \"label\": \"chicory seed\"},\n {\"box_2d\": [538, 456, 567, 500], \"label\": \"chicory seed\"},\n {\"box_2d\": [520, 507, 555, 550], \"label\": \"chicory seed\"},\n {\"box_2d\": [566, 443, 595, 482], \"label\": \"chicory seed\"},\n {\"box_2d\": [556, 362, 597, 396], \"label\": \"chicory seed\"},\n {\"box_2d\": [571, 286, 600, 329], \"label\": \"chicory seed\"},\n {\"box_2d\": [577, 255, 616, 292], \"label\": \"chicory seed\"},\n {\"box_2d\": [551, 137, 586, 173], \"label\": \"chicory seed\"},\n {\"box_2d\": [560, 164, 599, 193], \"label\": \"chicory seed\"},\n {\"box_2d\": [566, 112, 608, 139], \"label\": \"chicory seed\"},\n {\"box_2d\": [571, 195, 610, 224], \"label\": \"chicory seed\"},\n {\"box_2d\": [586, 139, 617, 181], \"label\": \"chicory seed\"},\n {\"box_2d\": [609, 166, 637, 209], \"label\": \"chicory seed\"},\n {\"box_2d\": [614, 121, 640, 162], \"label\": \"chicory seed\"},\n {\"box_2d\": [635, 127, 673, 156], \"label\": \"chicory seed\"},\n {\"box_2d\": [637, 152, 679, 178], \"label\": \"chicory seed\"},\n {\"box_2d\": [668, 145, 709, 172], \"label\": \"chicory seed\"},\n {\"box_2d\": [661, 171, 701, 200], \"label\": \"chicory seed\"},\n {\"box_2d\": [634, 198, 672, 235], \"label\": \"chicory seed\"},\n {\"box_2d\": [661, 209, 688, 251], \"label\": \"chicory seed\"},\n {\"box_2d\": [674, 196, 713, 226], \"label\": \"chicory seed\"},\n {\"box_2d\": [686, 219, 720, 260], \"label\": \"chicory seed\"},\n {\"box_2d\": [696, 168, 729, 208], \"label\": \"chicory seed\"},\n {\"box_2d\": [712, 187, 750, 221], \"label\": \"chicory seed\"},\n {\"box_2d\": [723, 204, 764, 237], \"label\": \"chicory seed\"},\n {\"box_2d\": [741, 226, 775, 264], \"label\": \"chicory seed\"},\n {\"box_2d\": [753, 240, 793, 267], \"label\": \"chicory seed\"},\n {\"box_2d\": [592, 314, 619, 360], \"label\": \"chicory seed\"},\n {\"box_2d\": [607, 297, 643, 333], \"label\": \"chicory seed\"},\n {\"box_2d\": [607, 352, 636, 394], \"label\": \"chicory seed\"},\n {\"box_2d\": [620, 390, 657, 427], \"label\": \"chicory seed\"},\n {\"box_2d\": [602, 417, 635, 459], \"label\": \"chicory seed\"},\n {\"box_2d\": [652, 402, 687, 444], \"label\": \"chicory seed\"},\n {\"box_2d\": [676, 420, 713, 456], \"label\": \"chicory seed\"},\n {\"box_2d\": [618, 331, 661, 359], \"label\": \"chicory seed\"},\n {\"box_2d\": [637, 282, 677, 316], \"label\": \"chicory seed\"},\n {\"box_2d\": [641, 249, 675, 287], \"label\": \"chicory seed\"},\n {\"box_2d\": [674, 236, 701, 281], \"label\": \"chicory seed\"},\n {\"box_2d\": [668, 279, 707, 310], \"label\": \"chicory seed\"},\n {\"box_2d\": [656, 309, 697, 336], \"label\": \"chicory seed\"},\n {\"box_2d\": [641, 319, 675, 344], \"label\": \"chicory seed\"},\n {\"box_2d\": [659, 334, 700, 358], \"label\": \"chicory seed\"},\n {\"box_2d\": [670, 354, 695, 395], \"label\": \"chicory seed\"},\n {\"box_2d\": [691, 341, 723, 377], \"label\": \"chicory seed\"},\n {\"box_2d\": [696, 303, 722, 345], \"label\": \"chicory seed\"},\n {\"box_2d\": [704, 261, 733, 306], \"label\": \"chicory seed\"},\n {\"box_2d\": [718, 301, 747, 346], \"label\": \"chicory seed\"},\n {\"box_2d\": [733, 266, 761, 306], \"label\": \"chicory seed\"},\n {\"box_2d\": [759, 265, 785, 308], \"label\": \"chicory seed\"},\n {\"box_2d\": [777, 253, 811, 294], \"label\": \"chicory seed\"},\n {\"box_2d\": [742, 303, 784, 323], \"label\": \"chicory seed\"},\n {\"box_2d\": [745, 321, 785, 342], \"label\": \"chicory seed\"},\n {\"box_2d\": [783, 293, 816, 333], \"label\": \"chicory seed\"},\n {\"box_2d\": [806, 311, 846, 337], \"label\": \"chicory seed\"},\n {\"box_2d\": [797, 336, 835, 366], \"label\": \"chicory seed\"},\n {\"box_2d\": [756, 334, 797, 363], \"label\": \"chicory seed\"},\n {\"box_2d\": [715, 347, 742, 392], \"label\": \"chicory seed\"},\n {\"box_2d\": [701, 373, 728, 414], \"label\": \"chicory seed\"},\n {\"box_2d\": [713, 414, 740, 458], \"label\": \"chicory seed\"},\n {\"box_2d\": [731, 407, 758, 450], \"label\": \"chicory seed\"},\n {\"box_2d\": [733, 360, 775, 383], \"label\": \"chicory seed\"},\n {\"box_2d\": [732, 380, 775, 405], \"label\": \"chicory seed\"},\n {\"box_2d\": [774, 350, 799, 391], \"label\": \"chicory seed\"},\n {\"box_2d\": [796, 360, 826, 399], \"label\": \"chicory seed\"},\n {\"box_2d\": [751, 390, 795, 421], \"label\": \"chicory seed\"},\n {\"box_2d\": [777, 398, 815, 434], \"label\": \"chicory seed\"},\n {\"box_2d\": [758, 421, 801, 453], \"label\": \"chicory seed\"},\n {\"box_2d\": [760, 458, 802, 487], \"label\": \"chicory seed\"},\n {\"box_2d\": [719, 458, 747, 504], \"label\": \"chicory seed\"},\n {\"box_2d\": [824, 362, 864, 388], \"label\": \"chicory seed\"},\n {\"box_2d\": [820, 387, 861, 413], \"label\": \"chicory seed\"},\n {\"box_2d\": [804, 432, 832, 476], \"label\": \"chicory seed\"},\n {\"box_2d\": [829, 442, 856, 486], \"label\": \"chicory seed\"},\n {\"box_2d\": [857, 414, 885, 466], \"label\": \"chicory seed\"},\n {\"box_2d\": [860, 500, 886, 546], \"label\": \"chicory seed\"},\n {\"box_2d\": [607, 480, 648, 514], \"label\": \"chicory seed\"},\n {\"box_2d\": [601, 517, 639, 562], \"label\": \"chicory seed\"},\n {\"box_2d\": [560, 522, 599, 560], \"label\": \"chicory seed\"},\n {\"box_2d\": [574, 550, 606, 594], \"label\": \"chicory seed\"},\n {\"box_2d\": [635, 572, 672, 610], \"label\": \"chicory seed\"},\n {\"box_2d\": [666, 525, 700, 565], \"label\": \"chicory seed\"},\n {\"box_2d\": [686, 490, 720, 533], \"label\": \"chicory seed\"},\n {\"box_2d\": [699, 542, 738, 567], \"label\": \"chicory seed\"},\n {\"box_2d\": [680, 563, 718, 600], \"label\": \"chicory seed\"},\n {\"box_2d\": [718, 567, 758, 599], \"label\": \"chicory seed\"},\n {\"box_2d\": [740, 537, 783, 565], \"label\": \"chicory seed\"},\n {\"box_2d\": [753, 510, 793, 549], \"label\": \"chicory seed\"},\n {\"box_2d\": [779, 496, 815, 538], \"label\": \"chicory seed\"},\n {\"box_2d\": [756, 560, 792, 599], \"label\": \"chicory seed\"},\n {\"box_2d\": [796, 553, 830, 593], \"label\": \"chicory seed\"},\n {\"box_2d\": [815, 522, 855, 550], \"label\": \"chicory seed\"},\n {\"box_2d\": [831, 556, 860, 604], \"label\": \"chicory seed\"},\n {\"box_2d\": [841, 611, 871, 656], \"label\": \"chicory seed\"},\n {\"box_2d\": [692, 607, 719, 652], \"label\": \"chicory seed\"},\n {\"box_2d\": [716, 595, 747, 639], \"label\": \"chicory seed\"},\n {\"box_2d\": [750, 629, 791, 659], \"label\": \"chicory seed\"},\n {\"box_2d\": [723, 646, 761, 683], \"label\": \"chicory seed\"},\n {\"box_2d\": [760, 658, 793, 698], \"label\": \"chicory seed\"},\n {\"box_2d\": [797, 661, 830, 701], \"label\": \"chicory seed\"},\n {\"box_2d\": [825, 660, 855, 702], \"label\": \"chicory seed\"},\n {\"box_2d\": [804, 698, 836, 740], \"label\": \"chicory seed\"},\n {\"box_2d\": [764, 693, 804, 725], \"label\": \"chicory seed\"},\n {\"box_2d\": [739, 693, 768, 737], \"label\": \"chicory seed\"},\n {\"box_2d\": [760, 729, 799, 767], \"label\": \"chicory seed\"},\n {\"box_2d\": [721, 720, 757, 759], \"label\": \"chicory seed\"},\n {\"box_2d\": [711, 772, 753, 797], \"label\": \"chicory seed\"},\n {\"box_2d\": [701, 737, 738, 774], \"label\": \"chicory seed\"},\n {\"box_2d\": [678, 756, 712, 797], \"label\": \"chicory seed\"},\n {\"box_2d\": [690, 799, 722, 842], \"label\": \"chicory seed\"},\n {\"box_2d\": [652, 794, 690, 832], \"label\": \"chicory seed\"},\n {\"box_2d\": [690, 701, 727, 737], \"label\": \"chicory seed\"},\n {\"box_2d\": [672, 687, 709, 731], \"label\": \"chicory seed\"},\n {\"box_2d\": [649, 724, 690, 759], \"label\": \"chicory seed\"},\n {\"box_2d\": [664, 643, 688, 685], \"label\": \"chicory seed\"},\n {\"box_2d\": [630, 659, 664, 701], \"label\": \"chicory seed\"},\n {\"box_2d\": [607, 642, 642, 678], \"label\": \"chicory seed\"},\n {\"box_2d\": [598, 610, 641, 641], \"label\": \"chicory seed\"},\n {\"box_2d\": [594, 658, 622, 703], \"label\": \"chicory seed\"},\n {\"box_2d\": [575, 718, 616, 750], \"label\": \"chicory seed\"},\n {\"box_2d\": [566, 748, 594, 792], \"label\": \"chicory seed\"},\n {\"box_2d\": [598, 789, 636, 827], \"label\": \"chicory seed\"},\n {\"box_2d\": [601, 821, 643, 848], \"label\": \"chicory seed\"},\n {\"box_2d\": [626, 847, 668, 872], \"label\": \"chicory seed\"},\n {\"box_2d\": [596, 855, 634, 889], \"label\": \"chicory seed\"},\n {\"box_2d\": [574, 843, 613, 881], \"label\": \"chicory seed\"},\n {\"box_2d\": [529, 568, 569, 596], \"label\": \"chicory seed\"},\n {\"box_2d\": [518, 590, 561, 620], \"label\": \"chicory seed\"},\n {\"box_2d\": [498, 612, 542, 639], \"label\": \"chicory seed\"},\n {\"box_2d\": [471, 587, 502, 630], \"label\": \"chicory seed\"},\n {\"box_2d\": [546, 608, 590, 638], \"label\": \"chicory seed\"},\n {\"box_2d\": [540, 635, 567, 677], \"label\": \"chicory seed\"},\n {\"box_2d\": [556, 642, 597, 674], \"label\": \"chicory seed\"},\n {\"box_2d\": [545, 680, 589, 707], \"label\": \"chicory seed\"},\n {\"box_2d\": [512, 638, 543, 685], \"label\": \"chicory seed\"},\n {\"box_2d\": [495, 658, 530, 702], \"label\": \"chicory seed\"},\n {\"box_2d\": [525, 702, 567, 730], \"label\": \"chicory seed\"},\n {\"box_2d\": [512, 727, 553, 755], \"label\": \"chicory seed\"},\n {\"box_2d\": [508, 753, 538, 796], \"label\": \"chicory seed\"},\n {\"box_2d\": [533, 757, 565, 800], \"label\": \"chicory seed\"},\n {\"box_2d\": [506, 806, 538, 849], \"label\": \"chicory seed\"},\n {\"box_2d\": [477, 777, 517, 813], \"label\": \"chicory seed\"},\n {\"box_2d\": [450, 798, 493, 825], \"label\": \"chicory seed\"},\n {\"box_2d\": [464, 827, 504, 858], \"label\": \"chicory seed\"},\n {\"box_2d\": [448, 855, 478, 898], \"label\": \"chicory seed\"},\n {\"box_2d\": [423, 850, 452, 893], \"label\": \"chicory seed\"},\n {\"box_2d\": [406, 832, 431, 875], \"label\": \"chicory seed\"},\n {\"box_2d\": [423, 794, 451, 836], \"label\": \"chicory seed\"},\n {\"box_2d\": [406, 769, 445, 805], \"label\": \"chicory seed\"},\n {\"box_2d\": [421, 743, 464, 767], \"label\": \"chicory seed\"},\n {\"box_2d\": [438, 704, 481, 743], \"label\": \"chicory seed\"},\n {\"box_2d\": [473, 699, 502, 743], \"label\": \"chicory seed\"},\n {\"box_2d\": [491, 685, 523, 725], \"label\": \"chicory seed\"},\n {\"box_2d\": [466, 663, 496, 707], \"label\": \"chicory seed\"},\n {\"box_2d\": [442, 635, 484, 663], \"label\": \"chicory seed\"},\n {\"box_2d\": [404, 604, 449, 632], \"label\": \"chicory seed\"},\n {\"box_2d\": [423, 653, 464, 684], \"label\": \"chicory seed\"},\n {\"box_2d\": [429, 678, 461, 717], \"label\": \"chicory seed\"},\n {\"box_2d\": [409, 676, 432, 720], \"label\": \"chicory seed\"},\n {\"box_2d\": [390, 685, 418, 728], \"label\": \"chicory seed\"},\n {\"box_2d\": [379, 644, 408, 687], \"label\": \"chicory seed\"},\n {\"box_2d\": [366, 721, 408, 753], \"label\": \"chicory seed\"},\n {\"box_2d\": [384, 751, 423, 783], \"label\": \"chicory seed\"},\n {\"box_2d\": [369, 757, 404, 797], \"label\": \"chicory seed\"},\n {\"box_2d\": [357, 785, 391, 824], \"label\": \"chicory seed\"},\n {\"box_2d\": [373, 840, 412, 878], \"label\": \"chicory seed\"},\n {\"box_2d\": [357, 821, 400, 850], \"label\": \"chicory seed\"},\n {\"box_2d\": [325, 816, 360, 856], \"label\": \"chicory seed\"},\n {\"box_2d\": [335, 768, 376, 800], \"label\": \"chicory seed\"},\n {\"box_2d\": [329, 731, 367, 769], \"label\": \"chicory seed\"},\n {\"box_2d\": [322, 688, 362, 722], \"label\": \"chicory seed\"},\n {\"box_2d\": [301, 716, 333, 759], \"label\": \"chicory seed\"},\n {\"box_2d\": [313, 759, 338, 802], \"label\": \"chicory seed\"},\n {\"box_2d\": [298, 800, 337, 836], \"label\": \"chicory seed\"},\n {\"box_2d\": [278, 788, 319, 820], \"label\": \"chicory seed\"},\n {\"box_2d\": [283, 755, 316, 792], \"label\": \"chicory seed\"}\n]\n```", "correct": false, "input_tokens": 1227, "output_tokens": 10812, "elapsed_seconds": 72.95143229106907, "metadata": {"match_method": "map", "num_predictions": 300, "num_ground_truth": 291, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.2987273037433624, "attempts": 1, "retries": 0, "total_seconds": 73.089}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 245, "image": "DJI_0271_JPG_jpg.rf.58c0e5179915be4446df421b02825d3d.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [553, 792, 699, 916], \"label\": \"excavator\"},\n {\"box_2d\": [182, 790, 232, 828], \"label\": \"dump truck\"},\n {\"box_2d\": [266, 87, 314, 130], \"label\": \"excavator\"},\n {\"box_2d\": [219, 86, 281, 117], \"label\": \"excavator\"},\n {\"box_2d\": [323, 681, 355, 735], \"label\": \"excavator\"},\n {\"box_2d\": [0, 360, 1000, 622], \"label\": \"tower crane\"}\n]\n```", "correct": true, "input_tokens": 1206, "output_tokens": 223, "elapsed_seconds": 70.04270887502935, "metadata": {"match_method": "map", "num_predictions": 6, "num_ground_truth": 6, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.9999999403953552, "attempts": 1, "retries": 0, "total_seconds": 71.3197}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 246, "image": "IMG_3900_JPG.rf.5ee75659ac02193213ba7636038947a4.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [405, 152, 478, 265], \"label\": \"500 poker chip\"},\n {\"box_2d\": [501, 92, 581, 211], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [590, 134, 682, 264], \"label\": \"10 poker chip\"},\n {\"box_2d\": [513, 206, 597, 323], \"label\": \"100 poker chip\"},\n {\"box_2d\": [416, 266, 488, 376], \"label\": \"10 poker chip\"},\n {\"box_2d\": [358, 321, 426, 427], \"label\": \"10 poker chip\"},\n {\"box_2d\": [468, 325, 546, 439], \"label\": \"500 poker chip\"},\n {\"box_2d\": [565, 286, 653, 408], \"label\": \"10 poker chip\"},\n {\"box_2d\": [699, 250, 804, 386], \"label\": \"20 poker chip\"},\n {\"box_2d\": [630, 355, 728, 483], \"label\": \"10 poker chip\"},\n {\"box_2d\": [718, 397, 825, 535], \"label\": \"10 poker chip\"},\n {\"box_2d\": [525, 393, 608, 511], \"label\": \"10 poker chip\"},\n {\"box_2d\": [428, 422, 502, 532], \"label\": \"1000 poker chip\"},\n {\"box_2d\": [368, 486, 437, 591], \"label\": \"5 poker chip\"},\n {\"box_2d\": [324, 567, 391, 669], \"label\": \"50 poker chip\"},\n {\"box_2d\": [393, 639, 463, 748], \"label\": \"10000 poker chip\"},\n {\"box_2d\": [482, 488, 562, 603], \"label\": \"100 poker chip\"},\n {\"box_2d\": [502, 600, 585, 718], \"label\": \"100 poker chip\"},\n {\"box_2d\": [458, 682, 536, 799], \"label\": \"50 poker chip\"},\n {\"box_2d\": [540, 740, 625, 864], \"label\": \"100 poker chip\"},\n {\"box_2d\": [581, 616, 672, 740], \"label\": \"5 poker chip\"},\n {\"box_2d\": [592, 470, 685, 595], \"label\": \"50 poker chip\"},\n {\"box_2d\": [624, 738, 720, 869], \"label\": \"100 poker chip\"},\n {\"box_2d\": [689, 638, 794, 773], \"label\": \"100 poker chip\"},\n {\"box_2d\": [742, 528, 854, 668], \"label\": \"100 poker chip\"}\n]\n```", "correct": true, "input_tokens": 1252, "output_tokens": 950, "elapsed_seconds": 25.167007124982774, "metadata": {"match_method": "map", "num_predictions": 25, "num_ground_truth": 25, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 26.0545}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 247, "image": "9AAEA6F5-FD0E-47BE-8596-0D85E5F62F1A_jpg.rf.7b7e8cbfdfc78f2c2cad6219290c51d6.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [757, 631, 800, 720], \"label\": \"pill\"},\n {\"box_2d\": [794, 289, 845, 381], \"label\": \"pill\"},\n {\"box_2d\": [694, 286, 752, 375], \"label\": \"pill\"},\n {\"box_2d\": [602, 362, 691, 396], \"label\": \"pill\"},\n {\"box_2d\": [718, 640, 764, 730], \"label\": \"pill\"},\n {\"box_2d\": [685, 638, 725, 727], \"label\": \"pill\"},\n {\"box_2d\": [588, 725, 672, 780], \"label\": \"pill\"},\n {\"box_2d\": [562, 749, 646, 804], \"label\": \"pill\"},\n {\"box_2d\": [556, 686, 642, 729], \"label\": \"pill\"},\n {\"box_2d\": [519, 619, 597, 684], \"label\": \"pill\"},\n {\"box_2d\": [468, 728, 548, 787], \"label\": \"pill\"},\n {\"box_2d\": [379, 737, 463, 777], \"label\": \"pill\"},\n {\"box_2d\": [360, 706, 444, 751], \"label\": \"pill\"},\n {\"box_2d\": [295, 721, 375, 777], \"label\": \"pill\"},\n {\"box_2d\": [297, 690, 381, 722], \"label\": \"pill\"},\n {\"box_2d\": [334, 661, 419, 695], \"label\": \"pill\"},\n {\"box_2d\": [336, 628, 421, 661], \"label\": \"pill\"},\n {\"box_2d\": [313, 599, 397, 631], \"label\": \"pill\"},\n {\"box_2d\": [316, 567, 401, 599], \"label\": \"pill\"},\n {\"box_2d\": [351, 522, 434, 567], \"label\": \"pill\"},\n {\"box_2d\": [401, 528, 468, 602], \"label\": \"pill\"},\n {\"box_2d\": [442, 549, 511, 622], \"label\": \"pill\"},\n {\"box_2d\": [465, 575, 528, 653], \"label\": \"pill\"},\n {\"box_2d\": [465, 443, 537, 511], \"label\": \"pill\"},\n {\"box_2d\": [520, 388, 558, 474], \"label\": \"pill\"},\n {\"box_2d\": [555, 355, 590, 443], \"label\": \"pill\"},\n {\"box_2d\": [451, 358, 535, 404], \"label\": \"pill\"},\n {\"box_2d\": [443, 329, 529, 374], \"label\": \"pill\"},\n {\"box_2d\": [496, 251, 573, 322], \"label\": \"pill\"},\n {\"box_2d\": [446, 168, 534, 206], \"label\": \"pill\"},\n {\"box_2d\": [380, 187, 447, 263], \"label\": \"pill\"},\n {\"box_2d\": [261, 205, 344, 258], \"label\": \"pill\"},\n {\"box_2d\": [244, 371, 300, 452], \"label\": \"pill\"},\n {\"box_2d\": [296, 432, 379, 483], \"label\": \"pill\"},\n {\"box_2d\": [287, 472, 342, 551], \"label\": \"pill\"},\n {\"box_2d\": [318, 484, 375, 562], \"label\": \"pill\"},\n {\"box_2d\": [164, 410, 245, 452], \"label\": \"pill\"},\n {\"box_2d\": [164, 467, 236, 534], \"label\": \"pill\"},\n {\"box_2d\": [161, 542, 205, 622], \"label\": \"pill\"},\n {\"box_2d\": [155, 687, 222, 756], \"label\": \"pill\"},\n {\"box_2d\": [92, 728, 173, 764], \"label\": \"pill\"},\n {\"box_2d\": [138, 269, 194, 347], \"label\": \"pill\"},\n {\"box_2d\": [171, 213, 208, 297], \"label\": \"pill\"},\n {\"box_2d\": [138, 182, 189, 264], \"label\": \"pill\"}\n]\n```", "correct": true, "input_tokens": 1225, "output_tokens": 1507, "elapsed_seconds": 22.848994207917713, "metadata": {"match_method": "map", "num_predictions": 44, "num_ground_truth": 44, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 1.0, "attempts": 1, "retries": 0, "total_seconds": 23.5102}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 248, "image": "DJI_0237_JPG_jpg.rf.cb5e6b368dca69cc9b7bc36fb47fd6fb.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [585, 556, 750, 623], \"label\": \"excavator\"},\n {\"box_2d\": [266, 920, 712, 1000], \"label\": \"tower crane\"},\n {\"box_2d\": [381, 864, 434, 952], \"label\": \"concrete mixer\"},\n {\"box_2d\": [254, 539, 294, 558], \"label\": \"concrete mixer\"},\n {\"box_2d\": [275, 226, 303, 273], \"label\": \"dump truck\"},\n {\"box_2d\": [301, 181, 333, 231], \"label\": \"dump truck\"}\n]\n```", "correct": true, "input_tokens": 1209, "output_tokens": 224, "elapsed_seconds": 37.611252125003375, "metadata": {"match_method": "map", "num_predictions": 6, "num_ground_truth": 7, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.8762375712394714, "attempts": 1, "retries": 0, "total_seconds": 38.8385}} +{"model": "gemini-4-argon", "effort": "low", "task": "detection", "timestamp": "20261013_071120", "index": 249, "image": "42ba34_9_9_png_jpg.rf.30ad6b17178011a7360591145cf422a2.jpg", "expected": "", "predicted": "```json\n[\n {\"box_2d\": [397, 991, 421, 1000], \"label\": \"goalkeeper\"},\n {\"box_2d\": [757, 891, 822, 910], \"label\": \"referee\"},\n {\"box_2d\": [614, 675, 678, 692], \"label\": \"player\"},\n {\"box_2d\": [547, 698, 597, 714], \"label\": \"player\"},\n {\"box_2d\": [443, 675, 488, 686], \"label\": \"player\"},\n {\"box_2d\": [387, 716, 443, 725], \"label\": \"player\"},\n {\"box_2d\": [399, 716, 442, 724], \"label\": \"player\"},\n {\"box_2d\": [324, 658, 359, 669], \"label\": \"player\"},\n {\"box_2d\": [401, 591, 443, 600], \"label\": \"player\"},\n {\"box_2d\": [314, 567, 345, 577], \"label\": \"player\"},\n {\"box_2d\": [383, 479, 419, 494], \"label\": \"player\"},\n {\"box_2d\": [423, 479, 469, 489], \"label\": \"referee\"},\n {\"box_2d\": [408, 456, 453, 467], \"label\": \"player\"},\n {\"box_2d\": [399, 451, 439, 464], \"label\": \"player\"},\n {\"box_2d\": [471, 502, 521, 519], \"label\": \"player\"},\n {\"box_2d\": [512, 438, 565, 449], \"label\": \"player\"},\n {\"box_2d\": [298, 409, 333, 417], \"label\": \"player\"},\n {\"box_2d\": [357, 320, 396, 330], \"label\": \"player\"},\n {\"box_2d\": [368, 307, 406, 319], \"label\": \"player\"},\n {\"box_2d\": [588, 316, 639, 326], \"label\": \"player\"},\n {\"box_2d\": [614, 256, 667, 267], \"label\": \"player\"},\n {\"box_2d\": [477, 200, 528, 210], \"label\": \"player\"},\n {\"box_2d\": [468, 166, 514, 180], \"label\": \"player\"},\n {\"box_2d\": [378, 18, 418, 29], \"label\": \"goalkeeper\"},\n {\"box_2d\": [266, 313, 278, 324], \"label\": \"referee\"}\n]\n```", "correct": false, "input_tokens": 1242, "output_tokens": 866, "elapsed_seconds": 9.18493829201907, "metadata": {"match_method": "map", "num_predictions": 25, "num_ground_truth": 26, "prompt_classes": "image", "coordinate_format": "yxyx_normalized_0_to_1000", "map50": 0.4573019742965698, "attempts": 1, "retries": 0, "total_seconds": 9.3102}} diff --git a/results/extraction_gemini-4-argon-eap_high_20261013_071307.jsonl b/results/extraction_gemini-4-argon-eap_high_20261013_071307.jsonl deleted file mode 100644 index 4f1c4da..0000000 --- a/results/extraction_gemini-4-argon-eap_high_20261013_071307.jsonl +++ /dev/null @@ -1,97 +0,0 @@ -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 0, "image": "9a8c8b2e-fb85-4a29-8a8e-c4d8e90a263c_input-input-1771415218745-lelho5crz_png_jpg.rf.c532e07f580fa8f33418c4e51767f52f.jpg", "expected": "10:27", "predicted": "10:27", "correct": true, "input_tokens": 1184, "output_tokens": 417, "elapsed_seconds": 24.822358084027655, "metadata": {"question": "What is the time displayed in the top left corner of the dashboard? Format the answer exactly as it appears (e.g., 12:34).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 24.9149}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 1, "image": "9a8c8b2e-fb85-4a29-8a8e-c4d8e90a263c_input-input-1771415218745-lelho5crz_png_jpg.rf.c532e07f580fa8f33418c4e51767f52f.jpg", "expected": "7507 km", "predicted": "7507 km", "correct": true, "input_tokens": 1191, "output_tokens": 108, "elapsed_seconds": 25.329344957950525, "metadata": {"question": "What is the total odometer reading shown directly to the right of the 'P' gear indicator? Format the answer exactly as printed including the unit (e.g., 1234 km).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 25.4217}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 2, "image": "9a8c8b2e-fb85-4a29-8a8e-c4d8e90a263c_input-input-1771415218745-lelho5crz_png_jpg.rf.c532e07f580fa8f33418c4e51767f52f.jpg", "expected": "20.5\u00b0C", "predicted": "20.5\u00b0C", "correct": true, "input_tokens": 1191, "output_tokens": 149, "elapsed_seconds": 5.831761375069618, "metadata": {"question": "What is the temperature reading displayed in the top right corner of the dashboard? Format the answer exactly as printed including the degree symbol and unit (e.g., 22.0\u00b0C).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.9207}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 3, "image": "66bbef87-2e52-4a5a-8583-f52fbfa7465d_input-input-1778826066883-6t9qhnglh_png_jpg.rf.90a49214642ae3efbd28a7ef58d4a0d0.jpg", "expected": "$254", "predicted": "$254", "correct": true, "input_tokens": 1173, "output_tokens": 302, "elapsed_seconds": 6.8984232500661165, "metadata": {"question": "What is the total price for the Icon Room, explicitly stated to include taxes & fees? Output the answer exactly as printed, including the dollar sign.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.9417}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 4, "image": "66bbef87-2e52-4a5a-8583-f52fbfa7465d_input-input-1778826066883-6t9qhnglh_png_jpg.rf.90a49214642ae3efbd28a7ef58d4a0d0.jpg", "expected": "1500", "predicted": "1500", "correct": true, "input_tokens": 1183, "output_tokens": 338, "elapsed_seconds": 5.576404083985835, "metadata": {"question": "According to the \"Surroundings\" list on the right side of the page, what is the exact distance in feet to the Richmond Night Market? Output the answer as a single integer without units.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.6206}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 5, "image": "66bbef87-2e52-4a5a-8583-f52fbfa7465d_input-input-1778826066883-6t9qhnglh_png_jpg.rf.90a49214642ae3efbd28a7ef58d4a0d0.jpg", "expected": "9.1", "predicted": "9.1", "correct": true, "input_tokens": 1176, "output_tokens": 165, "elapsed_seconds": 5.247587000019848, "metadata": {"question": "What is the numerical customer review rating out of 10 displayed in the blue circle on the right side of the page? Output the answer as a decimal number.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.2912}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 6, "image": "c9b00dcb-e093-43d9-baf8-f1971ff328af_input-input-1769103177177-3x5hfzwbp_png_jpg.rf.95edcd11e5d8724ab285b69ba52f6deb.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1143, "output_tokens": 299, "elapsed_seconds": 7.378643458010629, "metadata": {"question": "What handwritten number appears near the upper left corner of the card? Format the answer as a single digit (e.g., 7).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.4307}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 7, "image": "c9b00dcb-e093-43d9-baf8-f1971ff328af_input-input-1769103177177-3x5hfzwbp_png_jpg.rf.95edcd11e5d8724ab285b69ba52f6deb.jpg", "expected": "G230", "predicted": "G230", "correct": true, "input_tokens": 1144, "output_tokens": 566, "elapsed_seconds": 8.734252625028603, "metadata": {"question": "What is the alphanumeric code printed on the tan half of the capsule? Output the exact text (e.g., \"A123\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.7894}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 8, "image": "f0d4c0bf-3a21-41a5-b0c2-c33b94feadb4_input-input-1771859752511-bk56l0pe1_png_jpg.rf.6c4ddb547fa7d14bea520ceb83d179fe.jpg", "expected": "63.490", "predicted": "63.490", "correct": true, "input_tokens": 1147, "output_tokens": 241, "elapsed_seconds": 20.32053124997765, "metadata": {"question": "What is the numerical value for the NET weight in LBS printed on the right door of the shipping container? Format the answer as a number including the decimal point.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 20.4228}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 9, "image": "f0d4c0bf-3a21-41a5-b0c2-c33b94feadb4_input-input-1771859752511-bk56l0pe1_png_jpg.rf.6c4ddb547fa7d14bea520ceb83d179fe.jpg", "expected": "TCKU 612608 6 45G1", "predicted": "TCKU 612608 6 45G1", "correct": true, "input_tokens": 1153, "output_tokens": 1138, "elapsed_seconds": 23.615497792023234, "metadata": {"question": "What is the complete two-line identification text printed in white on the upper right side of the container doors? Format the answer with a single space separating the top sequence from the bottom sequence.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 23.7144}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 10, "image": "f0d4c0bf-3a21-41a5-b0c2-c33b94feadb4_input-input-1771859752511-bk56l0pe1_png_jpg.rf.6c4ddb547fa7d14bea520ceb83d179fe.jpg", "expected": "2516510", "predicted": "2518330", "correct": false, "input_tokens": 1135, "output_tokens": 17362, "elapsed_seconds": 168.01681912492495, "metadata": {"question": "What is the license plate number on the trailer? Format the answer as a continuous sequence of digits.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 168.0938}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 11, "image": "c9dbd271-e8bd-4a4c-9d90-dcc53a4910f6_input-input-1776792452299-9guc9kcwh_png_jpg.rf.499be0493ce07a3ce99ad741b1087b71.jpg", "expected": "0.40", "predicted": "0.40", "correct": true, "input_tokens": 1177, "output_tokens": 1140, "elapsed_seconds": 28.42034862493165, "metadata": {"question": "What time is shown on the left display of the red chess clock behind the board? Format the answer as a time with a colon (e.g., 1.23).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 28.4719}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 12, "image": "91b13b86-2929-4232-a4d1-a9a98420477e_png_jpg.rf.2d391bd85b3ed91712271a024089677e.jpg", "expected": "GZ808S", "predicted": "GZ808S", "correct": true, "input_tokens": 1172, "output_tokens": 372, "elapsed_seconds": 6.387516334070824, "metadata": {"question": "What is the license plate number on the vehicle? Format the answer as a continuous sequence of uppercase letters and digits with no spaces (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.3938}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 13, "image": "d2029347-fd3c-40be-8d89-b0e1abf64e9b_input-input-1781204084098-88xr6eavh_png_jpg.rf.21d8156058ed4f8ed2cffba4507eedee.jpg", "expected": "9CGN302", "predicted": "9CGN302", "correct": true, "input_tokens": 1152, "output_tokens": 249, "elapsed_seconds": 11.129749292042106, "metadata": {"question": "What is the license plate number on the rear of the black SUV? Format the answer as a continuous sequence of uppercase letters and digits (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.1957}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 14, "image": "d2029347-fd3c-40be-8d89-b0e1abf64e9b_input-input-1781204084098-88xr6eavh_png_jpg.rf.21d8156058ed4f8ed2cffba4507eedee.jpg", "expected": "7WQV954", "predicted": "7WQV954", "correct": true, "input_tokens": 1156, "output_tokens": 534, "elapsed_seconds": 12.258828374906443, "metadata": {"question": "What is the license plate number on the rear of the grey car in the upper left? Format the answer as a continuous sequence of uppercase letters and digits (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 12.3257}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 15, "image": "d2029347-fd3c-40be-8d89-b0e1abf64e9b_input-input-1781204084098-88xr6eavh_png_jpg.rf.21d8156058ed4f8ed2cffba4507eedee.jpg", "expected": "YUKON", "predicted": "YUKON", "correct": true, "input_tokens": 1149, "output_tokens": 286, "elapsed_seconds": 6.24232254200615, "metadata": {"question": "What text is written in silver letters on the lower left of the black SUV's tailgate? Output the exact text as printed (e.g., EXPLORER).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.3134}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 16, "image": "020c3db8-dcc2-40e0-bf26-c874edb1612b_png_jpg.rf.a299e53bc85c66b204fae58e26a1e19b.jpg", "expected": "NCY1", "predicted": "NCY1", "correct": true, "input_tokens": 1178, "output_tokens": 265, "elapsed_seconds": 5.966806959011592, "metadata": {"question": "What is the item code listed directly above 'CDMF' in the 'Item Code' column? Output the code exactly as printed in uppercase (e.g., ABCD).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.0223}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 17, "image": "41a7e177-1031-4d8e-bdee-eecbb1f0d240_input-input-1774997209388-d3qjo2hm2_png_jpg.rf.9a0e0f41aecab5811b006d59b42506db.jpg", "expected": "005708", "predicted": "005708", "correct": true, "input_tokens": 1169, "output_tokens": 342, "elapsed_seconds": 5.1372573339613155, "metadata": {"question": "What six-digit meter reading is shown in the black-framed LCD display? Format the answer as a continuous sequence of digits.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.1462}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 18, "image": "26584325-f95e-41e4-9f4b-99afc5ff078d_png_jpg.rf.30e30b60362db55140cd5874abc92899.jpg", "expected": "SIMONE KOVENSKY", "predicted": "SIMONE KOVENSKY", "correct": true, "input_tokens": 1152, "output_tokens": 286, "elapsed_seconds": 12.839630499947816, "metadata": {"question": "What is the name written in the 'CLIENT:' field at the top right of the form? Output the name exactly as written in all capital letters (e.g., JOHN DOE).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 12.9188}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 19, "image": "c56ead6c-0697-4216-a27e-fbd28c19aaed_input-input-1781393738001-e3qhlmchi_png_jpg.rf.904ea3d34bf309c1a08a8147dd181e22.jpg", "expected": "225/65 R 17", "predicted": "225/65 R 17", "correct": true, "input_tokens": 1203, "output_tokens": 123, "elapsed_seconds": 10.330161500023678, "metadata": {"question": "What is the tire size printed directly to the right of the top-left \"MICHELIN\" brand name? Output the exact text as printed (e.g., 205/55 R 16).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.3763}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 20, "image": "c56ead6c-0697-4216-a27e-fbd28c19aaed_input-input-1781393738001-e3qhlmchi_png_jpg.rf.904ea3d34bf309c1a08a8147dd181e22.jpg", "expected": "POLAND", "predicted": "POLAND", "correct": true, "input_tokens": 1191, "output_tokens": 416, "elapsed_seconds": 15.837291667005047, "metadata": {"question": "What country is printed inside the oval directly below the words \"MADE IN\" on the bottom tire? Output the exact text as printed (e.g., GERMANY).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 15.8816}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 21, "image": "dce06136-2d24-422b-a3b6-e100c9a4bad1_input-input-1780992231793-0zf74ymfd_png_jpg.rf.d839d1c678628694e2bff03a7de7f25a.jpg", "expected": "1800 22 4020", "predicted": "1800 22 4020", "correct": true, "input_tokens": 1164, "output_tokens": 324, "elapsed_seconds": 16.58984229201451, "metadata": {"question": "What phone number is printed after the line \"OR CALL US AT\"? Output the number exactly as printed, preserving spaces.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 16.6414}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 22, "image": "dce06136-2d24-422b-a3b6-e100c9a4bad1_input-input-1780992231793-0zf74ymfd_png_jpg.rf.d839d1c678628694e2bff03a7de7f25a.jpg", "expected": "8901491361026", "predicted": "8901491361026", "correct": true, "input_tokens": 1157, "output_tokens": 358, "elapsed_seconds": 26.708411416970193, "metadata": {"question": "What number is printed directly beneath the barcode on the package? Respond with digits only.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 26.7567}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 23, "image": "dce06136-2d24-422b-a3b6-e100c9a4bad1_input-input-1780992231793-0zf74ymfd_png_jpg.rf.d839d1c678628694e2bff03a7de7f25a.jpg", "expected": "558 kcal", "predicted": "558 kcal", "correct": true, "input_tokens": 1168, "output_tokens": 257, "elapsed_seconds": 11.183483291068114, "metadata": {"question": "In the nutritional information table, what is the Energy value per 100g? Respond with the number and unit exactly as shown.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.2317}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 24, "image": "145655c9-ac14-4dbb-8925-e2b81fb119e3_input-input-1778072520416-hq28k5crq_png_jpg.rf.4778c32b3806b491466ac777daff1840.jpg", "expected": "0176213", "predicted": "0176213", "correct": true, "input_tokens": 1150, "output_tokens": 521, "elapsed_seconds": 9.156231583096087, "metadata": {"question": "What is the large, bold, seven digit number printed at the bottom right corner of the label attached to the metal shelf? Format the answer as a continuous sequence of digits.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.2273}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 25, "image": "145655c9-ac14-4dbb-8925-e2b81fb119e3_input-input-1778072520416-hq28k5crq_png_jpg.rf.4778c32b3806b491466ac777daff1840.jpg", "expected": "36", "predicted": "36", "correct": true, "input_tokens": 1142, "output_tokens": 991, "elapsed_seconds": 11.431512583978474, "metadata": {"question": "What is the total number of white PVC profile cross-sections visible in the entire stack? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.5032}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 26, "image": "47ad34a1-d784-48fd-bf0b-9814791703e3_input-input-1779422613724-1i91z3id8_png_jpg.rf.b05b9398755d107d94666106dd5d8aa8.jpg", "expected": "6315", "predicted": "6315", "correct": true, "input_tokens": 1169, "output_tokens": 270, "elapsed_seconds": 26.88677754101809, "metadata": {"question": "What fleet number is printed on the rear window of the yellow bus at the right edge? Format the answer as a continuous sequence of digits (e.g., 1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 26.9616}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 27, "image": "47ad34a1-d784-48fd-bf0b-9814791703e3_input-input-1779422613724-1i91z3id8_png_jpg.rf.b05b9398755d107d94666106dd5d8aa8.jpg", "expected": "ZL 7237", "predicted": "ZL 7237", "correct": true, "input_tokens": 1168, "output_tokens": 239, "elapsed_seconds": 11.717088041012175, "metadata": {"question": "What is the license plate number of the black SUV in the foreground right lane? Format the answer exactly as printed, including spaces (e.g., AB 1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.7929}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 28, "image": "cc68304c-144a-4975-a93a-d8efa85db6ed_input-input-1769095484858-rohdg9mmc_png_jpg.rf.378e0d7628c9899c5d343c8f700ca50b.jpg", "expected": "34", "predicted": "34", "correct": true, "input_tokens": 1170, "output_tokens": 324, "elapsed_seconds": 8.301158082904294, "metadata": {"question": "What is the large number displayed on the digital screen of the device? Output the exact number.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.36}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 29, "image": "d489f405-013e-4e8b-968a-1d9db2060050_png_jpg.rf.b6ede8915c0c026e32f0e8d070b1d247.jpg", "expected": "18", "predicted": "18", "correct": true, "input_tokens": 1170, "output_tokens": 624, "elapsed_seconds": 7.925200249999762, "metadata": {"question": "What is the total quantity (QTY) of all items described as \"Air Filter\" in the DESCRIPTION column? Output the final sum as a single integer (e.g., 15).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.9407}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 30, "image": "d0b99ce8-8a3b-4d1d-98d4-b34137b19f08_input-input-1768805031339-rs4dctz0p_png_jpg.rf.0b9ba7244c8f71c6879248740d0f2a0d.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1176, "output_tokens": 334, "elapsed_seconds": 17.792681292048655, "metadata": {"question": "Counting rows from the top starting at 1, in which row is the green 'American Bankers Association' stamp located? Output the row number as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 17.8935}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 31, "image": "06072daf-424d-471e-a5cb-f8821cf88eb6_input-input-1772637869821-qu9ua1cb8_png_jpg.rf.dbc22b4330271e95f97fe41a59e1179c.jpg", "expected": "0.1", "predicted": "0.1", "correct": true, "input_tokens": 1165, "output_tokens": 249, "elapsed_seconds": 8.013400291907601, "metadata": {"question": "What is the exact numerical value listed for Trans Fat per 100g? Format the answer as a decimal number.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.0619}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 32, "image": "06072daf-424d-471e-a5cb-f8821cf88eb6_input-input-1772637869821-qu9ua1cb8_png_jpg.rf.dbc22b4330271e95f97fe41a59e1179c.jpg", "expected": "CONSUMER.FEEDBACK@PEPSICO.COM", "predicted": "CONSUMER.FEEDBACK@PEPSICO.COM", "correct": true, "input_tokens": 1160, "output_tokens": 248, "elapsed_seconds": 7.162191416951828, "metadata": {"question": "What is the email address provided for consumer feedback or queries? Output the email address exactly as printed.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.2117}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 33, "image": "06072daf-424d-471e-a5cb-f8821cf88eb6_input-input-1772637869821-qu9ua1cb8_png_jpg.rf.dbc22b4330271e95f97fe41a59e1179c.jpg", "expected": "8901491001137", "predicted": "8901491001137", "correct": true, "input_tokens": 1165, "output_tokens": 399, "elapsed_seconds": 8.223515000077896, "metadata": {"question": "What is the 13-digit number printed directly below the barcode? Format the answer as a continuous sequence of digits.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.2717}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 34, "image": "5382e8f7-15f4-42a9-a54d-379a13cef073_input-input-1778848976488-hc2g5oq4u_png_jpg.rf.00a60ea7c1d1fe980ffa61040dbb248a.jpg", "expected": "13877350", "predicted": "13877350", "correct": true, "input_tokens": 1146, "output_tokens": 224, "elapsed_seconds": 8.99010079097934, "metadata": {"question": "What is the exact eight-digit number printed directly beneath the barcode in the top center \"Process Order\" section? Output the answer as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.1055}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 35, "image": "5382e8f7-15f4-42a9-a54d-379a13cef073_input-input-1778848976488-hc2g5oq4u_png_jpg.rf.00a60ea7c1d1fe980ffa61040dbb248a.jpg", "expected": "23:59:59", "predicted": "23:59:59", "correct": true, "input_tokens": 1146, "output_tokens": 269, "elapsed_seconds": 22.152152082999237, "metadata": {"question": "What is the precise time listed under \"Scheduled Finish\" in the Production Scheduler section? Format the answer exactly as it appears (HH:MM:SS)", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 22.2658}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 36, "image": "df23429e-5fcf-4520-b958-bc8eda842562_input-input-1779516894552-yx6kf3wwi_png_jpg.rf.162bd99f2b2cc0a242610ac878dada35.jpg", "expected": "000865491059", "predicted": "000865491059", "correct": true, "input_tokens": 1175, "output_tokens": 220, "elapsed_seconds": 6.644243833026849, "metadata": {"question": "What TIN is printed beside the QR code near the top right of the receipt? Format the answer as a continuous sequence of digits (e.g., 123456789012).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.738}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 37, "image": "df23429e-5fcf-4520-b958-bc8eda842562_input-input-1779516894552-yx6kf3wwi_png_jpg.rf.162bd99f2b2cc0a242610ac878dada35.jpg", "expected": "GAX2354", "predicted": "GAX2354", "correct": true, "input_tokens": 1164, "output_tokens": 209, "elapsed_seconds": 5.590177749982104, "metadata": {"question": "What plate number is printed in large type under the 'PAYMENT DETAILS' header? Output the text exactly as printed (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.6845}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 38, "image": "df23429e-5fcf-4520-b958-bc8eda842562_input-input-1779516894552-yx6kf3wwi_png_jpg.rf.162bd99f2b2cc0a242610ac878dada35.jpg", "expected": "0760-000000202792", "predicted": "0760-000000202792", "correct": true, "input_tokens": 1186, "output_tokens": 434, "elapsed_seconds": 8.84444437501952, "metadata": {"question": "What is the long number printed immediately to the right of the dark \"OFFICIAL RECEIPT\" box? Format the answer as a continuous sequence of digits and hyphens (e.g., 1234-000000123456).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.9389}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 39, "image": "1710a83d-1506-464e-83bf-f015141f1c37_input-input-1779171626146-78hoa3cju_png_jpg.rf.a4a6a3c3c8761b330dfe9cd2bc8a847a.jpg", "expected": "Thursday 22", "predicted": "Thursday 22", "correct": true, "input_tokens": 1183, "output_tokens": 235, "elapsed_seconds": 4.609208749956451, "metadata": {"question": "What is the specific day of the week and date highlighted with a solid blue background on the right side of the calendar grid? Format the answer exactly as \"[Day of week] [Date number]\".", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.6233}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 40, "image": "fc6e5e8d-4b33-4a20-a63a-96c0205ae8f6_png_jpg.rf.25fdc583a5ef5268cc575d85fb3c0924.jpg", "expected": "189300", "predicted": "189300", "correct": true, "input_tokens": 1185, "output_tokens": 343, "elapsed_seconds": 7.341944790910929, "metadata": {"question": "What is the handwritten number written directly after \"R#\" at the bottom right corner of the page? Format the answer as a continuous sequence of digits (e.g., 123456).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.3714}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 41, "image": "76b25762-3b57-4158-9fab-945416165ada_png_jpg.rf.f417d6fc1ac47927bd5024452bf580e7.jpg", "expected": "#1123656-1", "predicted": "#1123656-1", "correct": true, "input_tokens": 1167, "output_tokens": 349, "elapsed_seconds": 5.973492624936625, "metadata": {"question": "What is the check number printed directly below the date 'TUE JANUARY 20, 2026'? Format the answer exactly as printed, including the hash symbol and hyphen (e.g., #123456-7).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.1064}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 42, "image": "c3f661e1-1ce5-4c6b-ba39-f052aa469ae2_input-input-1780892587755-2dtxi0at3_png_jpg.rf.2e59559f9c0a22eb34f879380e77c649.jpg", "expected": "Andrew Ainsley", "predicted": "Andrew Ainsley", "correct": true, "input_tokens": 1159, "output_tokens": 186, "elapsed_seconds": 4.508229249971919, "metadata": {"question": "What full name is shown beneath the 'Full Name' label? Output the text exactly as printed, preserving capitalization (e.g., Jane Doe).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.5256}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 43, "image": "c3f661e1-1ce5-4c6b-ba39-f052aa469ae2_input-input-1780892587755-2dtxi0at3_png_jpg.rf.2e59559f9c0a22eb34f879380e77c649.jpg", "expected": "+1-300-555-0399", "predicted": "+1-300-555-0399", "correct": true, "input_tokens": 1170, "output_tokens": 191, "elapsed_seconds": 3.734517665929161, "metadata": {"question": "What phone number is shown beneath the 'Phone Number' label? Output the phone number exactly as printed (e.g., +1-222-333-4444).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.7518}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 44, "image": "acc53733-7609-4a88-9125-d9671368e31c_png_jpg.rf.1ebb25f78d83e52eabcdf2422409904b.jpg", "expected": "1:31.396", "predicted": "1:31.396", "correct": true, "input_tokens": 1196, "output_tokens": 121, "elapsed_seconds": 4.424172375001945, "metadata": {"question": "What is the lap time displayed next to the driver \"NOR\" at the top of the timing tower? Format the answer exactly as it appears on screen (e.g., 1:23.456).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.4677}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 45, "image": "fc635714-9747-4562-934a-76a998f30986_input-input-1769516774340-ndngcy0b8_png_jpg.rf.69006b774b46928d96d99b793ff005ee.jpg", "expected": "09/2023", "predicted": "09/2023", "correct": true, "input_tokens": 1192, "output_tokens": 581, "elapsed_seconds": 24.078470791922882, "metadata": {"question": "What is the date printed vertically along the left edge of the central blister pack? Format the answer exactly as it appears, including any punctuation (e.g., 12/2025).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 24.1289}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 46, "image": "25e6ed9c-2d37-4533-8021-977770aa97d1_input-input-1780691294811-oql9y0w9f_png_jpg.rf.c03fb5cccd8a068f05019d0a4d371fc7.jpg", "expected": "026", "predicted": "026", "correct": true, "input_tokens": 1179, "output_tokens": 167, "elapsed_seconds": 7.29056554089766, "metadata": {"question": "What is the three-digit identification number printed on the white roof of the truck cab? Format the answer as a sequence of three digits.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.3433}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 47, "image": "1ad1c779-b18f-4aaa-9cf0-6155cb19879b_input-input-1769444672197-ug2bdacps_png_jpg.rf.995e162e3e39f5709ab077e0fbe2798b.jpg", "expected": "03/2027", "predicted": "The expiration date stamped at the bottom of the blister pack is too blurry and low-resolution to read clearly. Please provide a clearer, higher-resolution image so I can accurately read the text.", "correct": false, "input_tokens": 1164, "output_tokens": 521, "elapsed_seconds": 15.346079665934667, "metadata": {"question": "What is the expiration date stamped at the bottom right corner of the left blister pack? Format the answer exactly as printed.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 15.3619}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 48, "image": "295f6019-a4f4-4a00-bb7b-6edfc37f54b6_input-input-1772410888497-d7tv6uegi_png_jpg.rf.efb04911d99ad83c1ce8d416c9966d16.jpg", "expected": "7811897358", "predicted": "7811897358", "correct": true, "input_tokens": 1138, "output_tokens": 436, "elapsed_seconds": 8.509262749925256, "metadata": {"question": "What is the NIP number printed near the top of the receipt? Format the answer as a continuous sequence of digits.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.6156}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 49, "image": "21a6d806-d16e-4452-a2e3-7fa520bd671d_input-input-1769360430457-50a88jpis_png_jpg.rf.aa61306d9e54120882fabd13146cb148.jpg", "expected": "DIN 912 M8x25", "predicted": "DIN 912 M8x25", "correct": true, "input_tokens": 1151, "output_tokens": 338, "elapsed_seconds": 7.351317583001219, "metadata": {"question": "What is the exact text printed on the white label attached to the front of the middle plastic bin? Format the answer exactly as it appears in the image, preserving capitalization and spacing.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.4806}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 50, "image": "db35c41c-a9ed-41bc-96cf-60186d715477_input-input-1774653477270-a4j6j7v6e_png_jpg.rf.57d75a03d42f0fc2b1029367596197db.jpg", "expected": "218", "predicted": "218", "correct": true, "input_tokens": 1188, "output_tokens": 150, "elapsed_seconds": 8.424963667057455, "metadata": {"question": "What number is printed on the side of the large white crane in the upper right background? Format the answer as a continuous sequence of digits (e.g., 123).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.4759}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 51, "image": "ac750e7d-de93-4813-828d-409d16bd176b_png_jpg.rf.8ce341df035e51f25255571745407ba8.jpg", "expected": "Rev #1", "predicted": "Rev #1", "correct": true, "input_tokens": 1161, "output_tokens": 230, "elapsed_seconds": 7.665243333089165, "metadata": {"question": "What is the handwritten text located at the top right corner of the page, above the \"OVERVIEW\" heading? Output the text exactly as written (e.g., Text #1).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.6849}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 52, "image": "f5be5818-9476-456d-be90-9636ea5b6baa_input-input-1775884904023-qoueoyinv_png_jpg.rf.bbf654b12e9dfcd3cdde57ef87b4b7d6.jpg", "expected": "510-795-6305", "predicted": "510-795-6305", "correct": true, "input_tokens": 1165, "output_tokens": 289, "elapsed_seconds": 13.909859374980442, "metadata": {"question": "What phone number is printed on the 'Fremont Hub' line below the bullseye logo? Format the answer exactly as a phone number with hyphens (e.g., 123-456-7890).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 13.9483}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 53, "image": "f5be5818-9476-456d-be90-9636ea5b6baa_input-input-1775884904023-qoueoyinv_png_jpg.rf.bbf654b12e9dfcd3cdde57ef87b4b7d6.jpg", "expected": "39201 Fremont Blvd", "predicted": "39201 Fremont Blvd", "correct": true, "input_tokens": 1151, "output_tokens": 174, "elapsed_seconds": 6.2031827920582145, "metadata": {"question": "What street address is printed on the line below 'Fremont Hub'? Output the address exactly as printed (e.g., 12345 Main St).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.2466}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 54, "image": "f5be5818-9476-456d-be90-9636ea5b6baa_input-input-1775884904023-qoueoyinv_png_jpg.rf.bbf654b12e9dfcd3cdde57ef87b4b7d6.jpg", "expected": "01/16/2026", "predicted": "01/16/2026", "correct": true, "input_tokens": 1155, "output_tokens": 317, "elapsed_seconds": 5.0733667080057785, "metadata": {"question": "What date is printed on the line directly above the barcode? Format the answer as MM/DD/YYYY (e.g., 04/05/2024).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.1161}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 55, "image": "f5be5818-9476-456d-be90-9636ea5b6baa_input-input-1775884904023-qoueoyinv_png_jpg.rf.bbf654b12e9dfcd3cdde57ef87b4b7d6.jpg", "expected": "$29.99", "predicted": "$29.99", "correct": true, "input_tokens": 1154, "output_tokens": 190, "elapsed_seconds": 4.406087584095076, "metadata": {"question": "What is the price listed for the \"BRITA ON TAP\" item in the KITCHEN section? Format the answer exactly as a dollar amount (e.g., $XX.XX).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.4468}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 56, "image": "f5be5818-9476-456d-be90-9636ea5b6baa_input-input-1775884904023-qoueoyinv_png_jpg.rf.bbf654b12e9dfcd3cdde57ef87b4b7d6.jpg", "expected": "245090218", "predicted": "245090218", "correct": true, "input_tokens": 1161, "output_tokens": 415, "elapsed_seconds": 8.222671249997802, "metadata": {"question": "What is the nine-digit item number printed to the left of \"BIOTRUE\"? Format the answer as a continuous sequence of digits (e.g., 890149100).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.2603}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 57, "image": "e6e06b1b-da53-41ac-bfdf-9316443ff037_png_jpg.rf.c1d6533563d5395cd9da770734324ce4.jpg", "expected": "31/3/24", "predicted": "31/3/24", "correct": true, "input_tokens": 1186, "output_tokens": 175, "elapsed_seconds": 6.611387624987401, "metadata": {"question": "What is the handwritten date written at the top left corner of the left page? Format the answer exactly as written (e.g., DD/M/YY).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.6646}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 58, "image": "1a2826ae-6b4f-402d-871c-c99feec8673f_input-input-1773615096287-0i6s4vldj_png_jpg.rf.0bb97f973f3ca866a8ddeff16f4a9ab8.jpg", "expected": "4e63b-59184", "predicted": "4e63b-59184", "correct": true, "input_tokens": 1199, "output_tokens": 386, "elapsed_seconds": 5.194909541052766, "metadata": {"question": "What is the first recovery code in the right column inside the dark code box? Format the answer as lowercase letters, digits, and a hyphen exactly as printed (e.g., ab123-cd456).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.2152}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 59, "image": "3250b041-2ce2-4500-a99d-6f95f5536be5_input-input-1779670032347-3m1xayuws_png_jpg.rf.f45bb85a65adb055ae0b0ce37334eb6d.jpg", "expected": "225/55 ZR 17", "predicted": "225/55 ZR 17", "correct": true, "input_tokens": 1165, "output_tokens": 258, "elapsed_seconds": 7.122592416941188, "metadata": {"question": "What is the large tire-size marking beside the checkered-flag logo? Output the text exactly as printed, preserving spaces and symbols (e.g., 205/60 R 16).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.197}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 60, "image": "04a7e555-066a-4662-be7d-1fab1d0a89bb_input-input-1773204169910-pu44i2o85_png_jpg.rf.f1ffe888c2d54063f42898d657dfa906.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1140, "output_tokens": 520, "elapsed_seconds": 8.261518125073053, "metadata": {"question": "Which whole number on the dial is the needle of the main gauge pointing closest to? Output the answer as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.3437}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 61, "image": "9524ed4d-178c-4051-9357-7c560b07815a_png_jpg.rf.59849ff479e380b534b74d0addc8a4e5.jpg", "expected": "GBK9951P", "predicted": "GBK9951P", "correct": true, "input_tokens": 1162, "output_tokens": 95, "elapsed_seconds": 5.007471333956346, "metadata": {"question": "What is the license plate number on the vehicle? Format the answer as a continuous sequence of uppercase letters and digits with no spaces (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.0411}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 62, "image": "4bd1305c-ba69-4b95-acbd-aeedcde5aeb5_input-input-1778614713022-g8ey7mf8j_png_jpg.rf.05583223686725fe6e962b4344e9fc7c.jpg", "expected": "2026-02-10 14:30:56", "predicted": "2026-02-10 14:30:56", "correct": true, "input_tokens": 1172, "output_tokens": 389, "elapsed_seconds": 11.18600770807825, "metadata": {"question": "What timestamp is overlaid near the top-right corner of the image? Output the timestamp exactly as printed.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.2311}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 63, "image": "2147a9a8-913a-4b7f-9b36-908eb54628d3_input-input-1771463083999-cj6damrec_png_jpg.rf.b1aa904aaf7b7942d731f9a9f25bc3e1.jpg", "expected": "06-28-2014", "predicted": "06-28-2014", "correct": true, "input_tokens": 1163, "output_tokens": 189, "elapsed_seconds": 7.573548959102482, "metadata": {"question": "What is the exact date printed in the bottom left section of the receipt, just below the item count? Format the answer exactly as it appears in the image.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.6188}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 64, "image": "2147a9a8-913a-4b7f-9b36-908eb54628d3_input-input-1771463083999-cj6damrec_png_jpg.rf.b1aa904aaf7b7942d731f9a9f25bc3e1.jpg", "expected": "3.79", "predicted": "3.79", "correct": true, "input_tokens": 1168, "output_tokens": 466, "elapsed_seconds": 27.816687874961644, "metadata": {"question": "What is the numerical price listed in the right column for the item specifically named \"EGGS 1 DOZ ORGANIC BROWN.\"? Output the price as a decimal number without currency symbols.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 27.8638}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 65, "image": "2147a9a8-913a-4b7f-9b36-908eb54628d3_input-input-1771463083999-cj6damrec_png_jpg.rf.b1aa904aaf7b7942d731f9a9f25bc3e1.jpg", "expected": "$40.00", "predicted": "$40.00", "correct": true, "input_tokens": 1170, "output_tokens": 188, "elapsed_seconds": 5.479235167033039, "metadata": {"question": "What is the exact cash amount tendered, printed directly to the right of the bold word \"CASH\" near the bottom of the receipt? Format the answer exactly as printed, including the dollar sign.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.5283}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 66, "image": "c1300d50-94fc-4081-b871-8338cef58e16_input-input-1778695950497-jbtexy630_png_jpg.rf.6fbb0636423109f2dfca5f2a22a6883a.jpg", "expected": "10:26", "predicted": "10:26", "correct": true, "input_tokens": 1190, "output_tokens": 252, "elapsed_seconds": 6.772955833002925, "metadata": {"question": "What is the time remaining in the period displayed in the center of the top scoreboard? Format the answer exactly as it appears on the screen (e.g., 12:34).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.8128}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 67, "image": "c1300d50-94fc-4081-b871-8338cef58e16_input-input-1778695950497-jbtexy630_png_jpg.rf.6fbb0636423109f2dfca5f2a22a6883a.jpg", "expected": "53", "predicted": "53", "correct": true, "input_tokens": 1186, "output_tokens": 252, "elapsed_seconds": 5.005512167001143, "metadata": {"question": "What is the total combined number of shots taken by both teams as displayed on the top scoreboard? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.0464}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 68, "image": "c1300d50-94fc-4081-b871-8338cef58e16_input-input-1778695950497-jbtexy630_png_jpg.rf.6fbb0636423109f2dfca5f2a22a6883a.jpg", "expected": "SEA 1 - TOR 1", "predicted": "SEA 1 - TOR 1", "correct": true, "input_tokens": 1189, "output_tokens": 175, "elapsed_seconds": 5.052026874967851, "metadata": {"question": "What is the current score shown on the top scoreboard? Format your answer as ABC N - ABC N using the two team abbreviations (e.g., SEA 1 - TOR 2).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.093}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 69, "image": "eeee1640-5005-460c-a3f3-12dfff951fc5_png_jpg.rf.648ce83a788a4eb5a650235397675f44.jpg", "expected": "PC5949A", "predicted": "PC5949A", "correct": true, "input_tokens": 1162, "output_tokens": 113, "elapsed_seconds": 3.6186159590724856, "metadata": {"question": "What is the license plate number on the vehicle? Format the answer as a continuous sequence of uppercase letters and digits with no spaces (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.6695}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 70, "image": "93441566-50c0-4bfb-9a31-437a2bc5e4f2_png_jpg.rf.078ab0583bc75e5a47971dc175d8a0a3.jpg", "expected": "OP01-013", "predicted": "OP01-013", "correct": true, "input_tokens": 1191, "output_tokens": 307, "elapsed_seconds": 5.391997333033942, "metadata": {"question": "What is the alphanumeric card code printed in the bottom right corner just before the block icon? Output the exact text as printed (e.g., \"OP02-001\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.4086}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 71, "image": "93441566-50c0-4bfb-9a31-437a2bc5e4f2_png_jpg.rf.078ab0583bc75e5a47971dc175d8a0a3.jpg", "expected": "3000", "predicted": "3000", "correct": true, "input_tokens": 1192, "output_tokens": 75, "elapsed_seconds": 3.1949566669063643, "metadata": {"question": "What power value is printed in the white box at the top-right corner of the card? Format the answer as a continuous sequence of digits (e.g., 7000).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.2082}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 72, "image": "94f3adfa-0184-4872-8eb9-9f24e1a81a95_png_jpg.rf.2be986b2ba0f23bc57b7056a30d7423b.jpg", "expected": "1:26.0", "predicted": "1:26.0", "correct": true, "input_tokens": 1191, "output_tokens": 334, "elapsed_seconds": 5.18360816698987, "metadata": {"question": "What lap time is shown in large white digits inside the center HAMILTON panel? Format the answer exactly as a time with a colon and decimal (e.g., 1:23.4).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.2308}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 73, "image": "36e6af65-9cf0-4b16-b5b2-2dbf5d54ffae_input-input-1778190001786-w0937ikxt_png_jpg.rf.e59dce98ea670882a0a0bfb3e59730b2.jpg", "expected": "14", "predicted": "14", "correct": true, "input_tokens": 1173, "output_tokens": 1505, "elapsed_seconds": 19.23746099998243, "metadata": {"question": "What is the total number of empty ports on the white panel? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 19.2671}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 74, "image": "33299f4b-1857-4400-a31d-677ecd2c277a_input-input-1771415890481-7pfiombu0_png_jpg.rf.feabb125c41c69cf7d8c3aca315be50d.jpg", "expected": "12:07:56", "predicted": "12:07:56", "correct": true, "input_tokens": 1155, "output_tokens": 217, "elapsed_seconds": 4.71547254093457, "metadata": {"question": "What is the exact time displayed in the timestamp at the top left corner of the image? Format the answer exactly as HH:MM:SS.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.8197}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 75, "image": "621387a6-d868-4912-90f1-7e8abd9df0c0_png_jpg.rf.a8276e972135e7eecb7d2d74936e608e.jpg", "expected": "TISSOT", "predicted": "TISSOT", "correct": true, "input_tokens": 1175, "output_tokens": 198, "elapsed_seconds": 6.023315250058658, "metadata": {"question": "aahat brand name is printed upside-down in large letters in the lower half of the watch dial? Output the exact text as printed (e.g., ROLEX).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.1218}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 76, "image": "621387a6-d868-4912-90f1-7e8abd9df0c0_png_jpg.rf.a8276e972135e7eecb7d2d74936e608e.jpg", "expected": "15", "predicted": "15", "correct": true, "input_tokens": 1178, "output_tokens": 1419, "elapsed_seconds": 20.566243542009033, "metadata": {"question": "What number is visible in the small date window near the upper-left edge of the blue dial? Format the answer as a continuous sequence of digits (e.g., 24).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 20.6651}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 77, "image": "0e9ddffb-4d1d-4c64-bfce-3e518dd1c8ae_input-input-1779391692177-bujnsi4tk_png_jpg.rf.36d93ac4b35d2ac11fcc66f37ebddb4b.jpg", "expected": "2 000111 111112", "predicted": "2 000111 111112", "correct": true, "input_tokens": 1144, "output_tokens": 481, "elapsed_seconds": 9.53708433394786, "metadata": {"question": "What is the sequence of digits printed directly alongside the barcode on the left side of the meter? Format the answer exactly as printed, including spaces.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.66}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 78, "image": "9557f58e-ee73-4877-8bff-54aaa8bee062_input-input-1769507524173-1hzc9hfio_png_jpg.rf.a5376988f390a31b2c12912c07892281.jpg", "expected": "18", "predicted": "18", "correct": true, "input_tokens": 1174, "output_tokens": 1284, "elapsed_seconds": 17.486856292001903, "metadata": {"question": "What number is displayed clearly on the uppermost, flat face of the die? Output the answer as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 17.5439}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 79, "image": "f0c68933-64c5-49e6-8845-707afdc32a4e_input-input-1776058768062-tn8vkqrxk_png_jpg.rf.5d66532520dc17be0083a5fe2664c963.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1168, "output_tokens": 269, "elapsed_seconds": 6.173462791950442, "metadata": {"question": "What number is displayed in red on the digital indicator above the leftmost elevator doors? Output the exact digit (e.g., 5).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.2539}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 80, "image": "f0c68933-64c5-49e6-8845-707afdc32a4e_input-input-1776058768062-tn8vkqrxk_png_jpg.rf.5d66532520dc17be0083a5fe2664c963.jpg", "expected": "14", "predicted": "14", "correct": true, "input_tokens": 1176, "output_tokens": 405, "elapsed_seconds": 8.212665249942802, "metadata": {"question": "What floor is this scene on, based on any floor signage or indicators visible in the image? Format the answer as a continuous sequence of digits (e.g., 5).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.29}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 81, "image": "4409ba1c-5b55-47e4-8fb3-ed245021d0bb_input-input-1776892569933-6scj88bzo_png_jpg.rf.c5d4d0e67097acc2dc0e5a026f4d5514.jpg", "expected": "NEXT", "predicted": "NEXT", "correct": true, "input_tokens": 1143, "output_tokens": 149, "elapsed_seconds": 4.31891266698949, "metadata": {"question": "What retailer name is printed in large letters near the left side of the receipt? Output the exact uppercase word (e.g., STORE).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.3942}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 82, "image": "4409ba1c-5b55-47e4-8fb3-ed245021d0bb_input-input-1776892569933-6scj88bzo_png_jpg.rf.c5d4d0e67097acc2dc0e5a026f4d5514.jpg", "expected": "0333 0055 512", "predicted": "0333 0055 512", "correct": true, "input_tokens": 1165, "output_tokens": 249, "elapsed_seconds": 6.026011292007752, "metadata": {"question": "What telephone number is printed on the line beginning with 'TEL' beneath 'London New Retail 0512'? Output the number exactly with spaces (e.g., 0123 4567 890).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.097}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 83, "image": "4409ba1c-5b55-47e4-8fb3-ed245021d0bb_input-input-1776892569933-6scj88bzo_png_jpg.rf.c5d4d0e67097acc2dc0e5a026f4d5514.jpg", "expected": "14 Mar 2026", "predicted": "14 Mar 2026", "correct": true, "input_tokens": 1155, "output_tokens": 321, "elapsed_seconds": 5.493321291985922, "metadata": {"question": "What calendar date is printed on the timestamp line beneath the TEL line? Output the date exactly as printed without the weekday or time (e.g., 01 Jan 2026).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.5659}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 84, "image": "4409ba1c-5b55-47e4-8fb3-ed245021d0bb_input-input-1776892569933-6scj88bzo_png_jpg.rf.c5d4d0e67097acc2dc0e5a026f4d5514.jpg", "expected": "\u00a397.00", "predicted": "\u00a397.00", "correct": true, "input_tokens": 1156, "output_tokens": 374, "elapsed_seconds": 13.183917124988511, "metadata": {"question": "What total refund amount is printed next to 'TOTAL REFUNDED TO ACCOUNT' in the middle of the receipt? Format the answer exactly as a pound amount (e.g., \u00a3XX.XX).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 13.2534}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 85, "image": "19f45907-d682-40cf-bb87-9133dc873871_input-input-1778506438615-gyarfruw4_png_jpg.rf.22e9fb7526b6b695a79118f2794a9ab3.jpg", "expected": "037156273", "predicted": "037156273", "correct": true, "input_tokens": 1191, "output_tokens": 527, "elapsed_seconds": 10.197211332968436, "metadata": {"question": "What is the serial number printed directly after \"S/N:\" at the top of the meter? Format the answer as a continuous sequence of digits.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.2226}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 86, "image": "1a8ee468-d168-4cec-bf83-881ad2853ed9_png_jpg.rf.02ee8e87c0ee9b2581f17ccbdb8fa702.jpg", "expected": "NYKU3687780", "predicted": "NYKU3687780", "correct": true, "input_tokens": 1159, "output_tokens": 713, "elapsed_seconds": 12.100865000043996, "metadata": {"question": "What is the vertical container identification code printed on the far left of the blue container? Format the answer as a continuous sequence of letters and numbers without spaces (e.g., ABCD1234567).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 12.1753}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 87, "image": "1a8ee468-d168-4cec-bf83-881ad2853ed9_png_jpg.rf.02ee8e87c0ee9b2581f17ccbdb8fa702.jpg", "expected": "22G1", "predicted": "22G1", "correct": true, "input_tokens": 1148, "output_tokens": 205, "elapsed_seconds": 4.225938082905486, "metadata": {"question": "Which four-character code is printed vertically directly above the yellow height limit sign on the blue container? Output the code exactly as printed (e.g., ABCD).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.2941}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 88, "image": "ae20b44c-9be6-47a5-8002-2c417a2a2441_png_jpg.rf.d312136933cbfcb91483a2dfad0d53bd.jpg", "expected": "Sesame Seed", "predicted": "Sesame Seed", "correct": true, "input_tokens": 1165, "output_tokens": 182, "elapsed_seconds": 3.8025285420008004, "metadata": {"question": "What bold allergen name appears in the ingredients paragraph next to the word \"Paste\"? Output the text exactly as printed (e.g., Wheat).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.8162}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 89, "image": "ae20b44c-9be6-47a5-8002-2c417a2a2441_png_jpg.rf.d312136933cbfcb91483a2dfad0d53bd.jpg", "expected": "Per 1/4 pot", "predicted": "Per 1/4 pot", "correct": true, "input_tokens": 1176, "output_tokens": 295, "elapsed_seconds": 4.180203124997206, "metadata": {"question": "Which nutrition table header is immediately to the right of \"Per 100g\" in the row beneath \"NUTRITION\"? Output the text exactly as printed (e.g., Per item).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.1924}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 90, "image": "0212eb3d-e4b1-4ef4-9204-e920654bf677_input-input-1778110710064-oqhw5zz8j_png_jpg.rf.014217c55a8b2da0df65b97e042ed090.jpg", "expected": "$44.99", "predicted": "$44.99", "correct": true, "input_tokens": 1158, "output_tokens": 434, "elapsed_seconds": 8.05531341698952, "metadata": {"question": "What is the price displayed on the green \"Price Cut\" tag directly beneath the Four Roses Single Barrel on the top shelf? Format the answer exactly as a dollar amount (e.g., $XX.XX).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.1774}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 91, "image": "bab22192-40dc-46bd-b314-ea08adf480e4_input-input-1768993566899-f1f6n85t5_png_jpg.rf.e266ed38188402a2fd66c6ee3416a4f0.jpg", "expected": "250ml", "predicted": "250ml", "correct": true, "input_tokens": 1147, "output_tokens": 220, "elapsed_seconds": 4.870229625026695, "metadata": {"question": "What capacity text is printed beneath the Fisherbrand logo on the right beaker? Output exactly with no added space (e.g., 100ml).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.9514}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 92, "image": "bab22192-40dc-46bd-b314-ea08adf480e4_input-input-1768993566899-f1f6n85t5_png_jpg.rf.e266ed38188402a2fd66c6ee3416a4f0.jpg", "expected": "150ml", "predicted": "150 ml", "correct": true, "input_tokens": 1156, "output_tokens": 1653, "elapsed_seconds": 22.501475042081438, "metadata": {"question": "What is the liquid level in the leftmost beaker, as read from its printed measurement scale? Format the answer as a number followed by a space and ml (e.g., 100ml).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 22.5813}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 93, "image": "537aaf5f-ca39-4266-beec-32e4e9b2e3aa_png_jpg.rf.7a1f952bb873dc687f3b3f3d0dfe0301.jpg", "expected": "SLV3235L", "predicted": "SLV3235L", "correct": true, "input_tokens": 1167, "output_tokens": 120, "elapsed_seconds": 3.3237004159018397, "metadata": {"question": "What is the license plate number on the vehicle? Format the answer as a continuous sequence of uppercase letters and digits with no spaces (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.332}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 94, "image": "39fe721b-44c4-4a0c-aeac-2897520dfa68_input-input-1781394102861-00bvuicbi_png_jpg.rf.363242f15c7e98f02eea7cb38d065c13.jpg", "expected": "205/60 R 16", "predicted": "205/60 R 16", "correct": true, "input_tokens": 1166, "output_tokens": 1139, "elapsed_seconds": 14.966106624924578, "metadata": {"question": "What is the large alphanumeric tire size sequence printed on the right side of the sidewall? Output the exact text including spaces and slashes.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 15.0448}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 95, "image": "0e4e059a-dffb-4d94-8827-06ec9a325906_input-input-1780878352625-ut880vj94_png_jpg.rf.bfa6b203688cdd30b56b2d4a213fe38e.jpg", "expected": "Brixx", "predicted": "Brixx", "correct": true, "input_tokens": 1159, "output_tokens": 132, "elapsed_seconds": 3.357067917007953, "metadata": {"question": "What restaurant name is printed at the top center of the receipt? Output the text exactly as printed (e.g., Pizzeria Uno).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.3719}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 96, "image": "0e4e059a-dffb-4d94-8827-06ec9a325906_input-input-1780878352625-ut880vj94_png_jpg.rf.bfa6b203688cdd30b56b2d4a213fe38e.jpg", "expected": "501 Meadowmont Village Circle", "predicted": "501 Meadowmont Village Circle", "correct": true, "input_tokens": 1164, "output_tokens": 243, "elapsed_seconds": 4.602419332950376, "metadata": {"question": "What street address is printed directly beneath the \"Brixx\" heading? Output the address exactly as printed (e.g., 123 Main Street).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.6167}} diff --git a/results/extraction_gemini-4-argon-eap_high_20261013_071359.jsonl b/results/extraction_gemini-4-argon-eap_high_20261013_071359.jsonl deleted file mode 100644 index cf6180b..0000000 --- a/results/extraction_gemini-4-argon-eap_high_20261013_071359.jsonl +++ /dev/null @@ -1,97 +0,0 @@ -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 0, "image": "9a8c8b2e-fb85-4a29-8a8e-c4d8e90a263c_input-input-1771415218745-lelho5crz_png_jpg.rf.c532e07f580fa8f33418c4e51767f52f.jpg", "expected": "10:27", "predicted": "10:27", "correct": true, "input_tokens": 1184, "output_tokens": 413, "elapsed_seconds": 25.514552375068888, "metadata": {"question": "What is the time displayed in the top left corner of the dashboard? Format the answer exactly as it appears (e.g., 12:34).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 25.6068}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 1, "image": "9a8c8b2e-fb85-4a29-8a8e-c4d8e90a263c_input-input-1771415218745-lelho5crz_png_jpg.rf.c532e07f580fa8f33418c4e51767f52f.jpg", "expected": "7507 km", "predicted": "7507 km", "correct": true, "input_tokens": 1191, "output_tokens": 242, "elapsed_seconds": 23.389013707987033, "metadata": {"question": "What is the total odometer reading shown directly to the right of the 'P' gear indicator? Format the answer exactly as printed including the unit (e.g., 1234 km).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 23.4911}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 2, "image": "9a8c8b2e-fb85-4a29-8a8e-c4d8e90a263c_input-input-1771415218745-lelho5crz_png_jpg.rf.c532e07f580fa8f33418c4e51767f52f.jpg", "expected": "20.5\u00b0C", "predicted": "20.5\u00b0C", "correct": true, "input_tokens": 1191, "output_tokens": 267, "elapsed_seconds": 10.493582000024617, "metadata": {"question": "What is the temperature reading displayed in the top right corner of the dashboard? Format the answer exactly as printed including the degree symbol and unit (e.g., 22.0\u00b0C).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.5839}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 3, "image": "66bbef87-2e52-4a5a-8583-f52fbfa7465d_input-input-1778826066883-6t9qhnglh_png_jpg.rf.90a49214642ae3efbd28a7ef58d4a0d0.jpg", "expected": "$254", "predicted": "$254", "correct": true, "input_tokens": 1173, "output_tokens": 146, "elapsed_seconds": 8.98931995802559, "metadata": {"question": "What is the total price for the Icon Room, explicitly stated to include taxes & fees? Output the answer exactly as printed, including the dollar sign.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.0322}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 4, "image": "66bbef87-2e52-4a5a-8583-f52fbfa7465d_input-input-1778826066883-6t9qhnglh_png_jpg.rf.90a49214642ae3efbd28a7ef58d4a0d0.jpg", "expected": "1500", "predicted": "1500", "correct": true, "input_tokens": 1183, "output_tokens": 305, "elapsed_seconds": 8.24862408300396, "metadata": {"question": "According to the \"Surroundings\" list on the right side of the page, what is the exact distance in feet to the Richmond Night Market? Output the answer as a single integer without units.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.2885}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 5, "image": "66bbef87-2e52-4a5a-8583-f52fbfa7465d_input-input-1778826066883-6t9qhnglh_png_jpg.rf.90a49214642ae3efbd28a7ef58d4a0d0.jpg", "expected": "9.1", "predicted": "9.1", "correct": true, "input_tokens": 1176, "output_tokens": 156, "elapsed_seconds": 8.04106508300174, "metadata": {"question": "What is the numerical customer review rating out of 10 displayed in the blue circle on the right side of the page? Output the answer as a decimal number.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.0849}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 6, "image": "c9b00dcb-e093-43d9-baf8-f1971ff328af_input-input-1769103177177-3x5hfzwbp_png_jpg.rf.95edcd11e5d8724ab285b69ba52f6deb.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1143, "output_tokens": 468, "elapsed_seconds": 10.05513912497554, "metadata": {"question": "What handwritten number appears near the upper left corner of the card? Format the answer as a single digit (e.g., 7).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.1114}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 7, "image": "c9b00dcb-e093-43d9-baf8-f1971ff328af_input-input-1769103177177-3x5hfzwbp_png_jpg.rf.95edcd11e5d8724ab285b69ba52f6deb.jpg", "expected": "G230", "predicted": "G230", "correct": true, "input_tokens": 1144, "output_tokens": 682, "elapsed_seconds": 12.608176541980356, "metadata": {"question": "What is the alphanumeric code printed on the tan half of the capsule? Output the exact text (e.g., \"A123\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 12.66}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 8, "image": "f0d4c0bf-3a21-41a5-b0c2-c33b94feadb4_input-input-1771859752511-bk56l0pe1_png_jpg.rf.6c4ddb547fa7d14bea520ceb83d179fe.jpg", "expected": "63.490", "predicted": "63.490", "correct": true, "input_tokens": 1147, "output_tokens": 412, "elapsed_seconds": 13.868652916979045, "metadata": {"question": "What is the numerical value for the NET weight in LBS printed on the right door of the shipping container? Format the answer as a number including the decimal point.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 13.9709}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 9, "image": "f0d4c0bf-3a21-41a5-b0c2-c33b94feadb4_input-input-1771859752511-bk56l0pe1_png_jpg.rf.6c4ddb547fa7d14bea520ceb83d179fe.jpg", "expected": "TCKU 612608 6 45G1", "predicted": "TCKU 612608 6 45G1", "correct": true, "input_tokens": 1153, "output_tokens": 1762, "elapsed_seconds": 25.611327749909833, "metadata": {"question": "What is the complete two-line identification text printed in white on the upper right side of the container doors? Format the answer with a single space separating the top sequence from the bottom sequence.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 25.7135}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 10, "image": "f0d4c0bf-3a21-41a5-b0c2-c33b94feadb4_input-input-1771859752511-bk56l0pe1_png_jpg.rf.6c4ddb547fa7d14bea520ceb83d179fe.jpg", "expected": "2516510", "predicted": "2516390", "correct": false, "input_tokens": 1135, "output_tokens": 12440, "elapsed_seconds": 124.55219958396628, "metadata": {"question": "What is the license plate number on the trailer? Format the answer as a continuous sequence of digits.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 124.616}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 11, "image": "c9dbd271-e8bd-4a4c-9d90-dcc53a4910f6_input-input-1776792452299-9guc9kcwh_png_jpg.rf.499be0493ce07a3ce99ad741b1087b71.jpg", "expected": "0.40", "predicted": "0.40", "correct": true, "input_tokens": 1177, "output_tokens": 1221, "elapsed_seconds": 18.804095291998237, "metadata": {"question": "What time is shown on the left display of the red chess clock behind the board? Format the answer as a time with a colon (e.g., 1.23).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 18.8569}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 12, "image": "91b13b86-2929-4232-a4d1-a9a98420477e_png_jpg.rf.2d391bd85b3ed91712271a024089677e.jpg", "expected": "GZ808S", "predicted": "GZ808S", "correct": true, "input_tokens": 1172, "output_tokens": 474, "elapsed_seconds": 6.300994207966141, "metadata": {"question": "What is the license plate number on the vehicle? Format the answer as a continuous sequence of uppercase letters and digits with no spaces (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.3083}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 13, "image": "d2029347-fd3c-40be-8d89-b0e1abf64e9b_input-input-1781204084098-88xr6eavh_png_jpg.rf.21d8156058ed4f8ed2cffba4507eedee.jpg", "expected": "9CGN302", "predicted": "9CGN302", "correct": true, "input_tokens": 1152, "output_tokens": 121, "elapsed_seconds": 4.883688458008692, "metadata": {"question": "What is the license plate number on the rear of the black SUV? Format the answer as a continuous sequence of uppercase letters and digits (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.9511}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 14, "image": "d2029347-fd3c-40be-8d89-b0e1abf64e9b_input-input-1781204084098-88xr6eavh_png_jpg.rf.21d8156058ed4f8ed2cffba4507eedee.jpg", "expected": "7WQV954", "predicted": "7WQV954", "correct": true, "input_tokens": 1156, "output_tokens": 561, "elapsed_seconds": 11.794765540980734, "metadata": {"question": "What is the license plate number on the rear of the grey car in the upper left? Format the answer as a continuous sequence of uppercase letters and digits (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.8638}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 15, "image": "d2029347-fd3c-40be-8d89-b0e1abf64e9b_input-input-1781204084098-88xr6eavh_png_jpg.rf.21d8156058ed4f8ed2cffba4507eedee.jpg", "expected": "YUKON", "predicted": "YUKON", "correct": true, "input_tokens": 1149, "output_tokens": 234, "elapsed_seconds": 7.361619750037789, "metadata": {"question": "What text is written in silver letters on the lower left of the black SUV's tailgate? Output the exact text as printed (e.g., EXPLORER).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.43}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 16, "image": "020c3db8-dcc2-40e0-bf26-c874edb1612b_png_jpg.rf.a299e53bc85c66b204fae58e26a1e19b.jpg", "expected": "NCY1", "predicted": "NCY1", "correct": true, "input_tokens": 1178, "output_tokens": 871, "elapsed_seconds": 12.12861979205627, "metadata": {"question": "What is the item code listed directly above 'CDMF' in the 'Item Code' column? Output the code exactly as printed in uppercase (e.g., ABCD).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 12.1846}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 17, "image": "41a7e177-1031-4d8e-bdee-eecbb1f0d240_input-input-1774997209388-d3qjo2hm2_png_jpg.rf.9a0e0f41aecab5811b006d59b42506db.jpg", "expected": "005708", "predicted": "005708", "correct": true, "input_tokens": 1169, "output_tokens": 385, "elapsed_seconds": 7.288927624933422, "metadata": {"question": "What six-digit meter reading is shown in the black-framed LCD display? Format the answer as a continuous sequence of digits.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.2955}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 18, "image": "26584325-f95e-41e4-9f4b-99afc5ff078d_png_jpg.rf.30e30b60362db55140cd5874abc92899.jpg", "expected": "SIMONE KOVENSKY", "predicted": "SIMONE KOVENSKY", "correct": true, "input_tokens": 1152, "output_tokens": 265, "elapsed_seconds": 8.771695667062886, "metadata": {"question": "What is the name written in the 'CLIENT:' field at the top right of the form? Output the name exactly as written in all capital letters (e.g., JOHN DOE).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.8514}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 19, "image": "c56ead6c-0697-4216-a27e-fbd28c19aaed_input-input-1781393738001-e3qhlmchi_png_jpg.rf.904ea3d34bf309c1a08a8147dd181e22.jpg", "expected": "225/65 R 17", "predicted": "225/65 R 17", "correct": true, "input_tokens": 1203, "output_tokens": 229, "elapsed_seconds": 12.304738125065342, "metadata": {"question": "What is the tire size printed directly to the right of the top-left \"MICHELIN\" brand name? Output the exact text as printed (e.g., 205/55 R 16).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 12.3495}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 20, "image": "c56ead6c-0697-4216-a27e-fbd28c19aaed_input-input-1781393738001-e3qhlmchi_png_jpg.rf.904ea3d34bf309c1a08a8147dd181e22.jpg", "expected": "POLAND", "predicted": "POLAND", "correct": true, "input_tokens": 1191, "output_tokens": 392, "elapsed_seconds": 16.636120582930744, "metadata": {"question": "What country is printed inside the oval directly below the words \"MADE IN\" on the bottom tire? Output the exact text as printed (e.g., GERMANY).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 16.6832}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 21, "image": "dce06136-2d24-422b-a3b6-e100c9a4bad1_input-input-1780992231793-0zf74ymfd_png_jpg.rf.d839d1c678628694e2bff03a7de7f25a.jpg", "expected": "1800 22 4020", "predicted": "1800 22 4020", "correct": true, "input_tokens": 1164, "output_tokens": 335, "elapsed_seconds": 8.004448457970284, "metadata": {"question": "What phone number is printed after the line \"OR CALL US AT\"? Output the number exactly as printed, preserving spaces.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.0527}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 22, "image": "dce06136-2d24-422b-a3b6-e100c9a4bad1_input-input-1780992231793-0zf74ymfd_png_jpg.rf.d839d1c678628694e2bff03a7de7f25a.jpg", "expected": "8901491361026", "predicted": "8901491361026", "correct": true, "input_tokens": 1157, "output_tokens": 406, "elapsed_seconds": 10.632573542068712, "metadata": {"question": "What number is printed directly beneath the barcode on the package? Respond with digits only.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.6806}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 23, "image": "dce06136-2d24-422b-a3b6-e100c9a4bad1_input-input-1780992231793-0zf74ymfd_png_jpg.rf.d839d1c678628694e2bff03a7de7f25a.jpg", "expected": "558 kcal", "predicted": "558 kcal", "correct": true, "input_tokens": 1168, "output_tokens": 192, "elapsed_seconds": 16.449376125005074, "metadata": {"question": "In the nutritional information table, what is the Energy value per 100g? Respond with the number and unit exactly as shown.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 16.5001}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 24, "image": "145655c9-ac14-4dbb-8925-e2b81fb119e3_input-input-1778072520416-hq28k5crq_png_jpg.rf.4778c32b3806b491466ac777daff1840.jpg", "expected": "0176213", "predicted": "0176213", "correct": true, "input_tokens": 1150, "output_tokens": 527, "elapsed_seconds": 13.988916665897705, "metadata": {"question": "What is the large, bold, seven digit number printed at the bottom right corner of the label attached to the metal shelf? Format the answer as a continuous sequence of digits.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 14.0581}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 25, "image": "145655c9-ac14-4dbb-8925-e2b81fb119e3_input-input-1778072520416-hq28k5crq_png_jpg.rf.4778c32b3806b491466ac777daff1840.jpg", "expected": "36", "predicted": "36", "correct": true, "input_tokens": 1142, "output_tokens": 1134, "elapsed_seconds": 17.243902665912174, "metadata": {"question": "What is the total number of white PVC profile cross-sections visible in the entire stack? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 17.3143}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 26, "image": "47ad34a1-d784-48fd-bf0b-9814791703e3_input-input-1779422613724-1i91z3id8_png_jpg.rf.b05b9398755d107d94666106dd5d8aa8.jpg", "expected": "6315", "predicted": "6315", "correct": true, "input_tokens": 1169, "output_tokens": 269, "elapsed_seconds": 12.142242875066586, "metadata": {"question": "What fleet number is printed on the rear window of the yellow bus at the right edge? Format the answer as a continuous sequence of digits (e.g., 1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 12.2158}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 27, "image": "47ad34a1-d784-48fd-bf0b-9814791703e3_input-input-1779422613724-1i91z3id8_png_jpg.rf.b05b9398755d107d94666106dd5d8aa8.jpg", "expected": "ZL 7237", "predicted": "ZL 7237", "correct": true, "input_tokens": 1168, "output_tokens": 222, "elapsed_seconds": 9.550151792005636, "metadata": {"question": "What is the license plate number of the black SUV in the foreground right lane? Format the answer exactly as printed, including spaces (e.g., AB 1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.6256}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 28, "image": "cc68304c-144a-4975-a93a-d8efa85db6ed_input-input-1769095484858-rohdg9mmc_png_jpg.rf.378e0d7628c9899c5d343c8f700ca50b.jpg", "expected": "34", "predicted": "34", "correct": true, "input_tokens": 1170, "output_tokens": 327, "elapsed_seconds": 6.923343041911721, "metadata": {"question": "What is the large number displayed on the digital screen of the device? Output the exact number.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.9791}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 29, "image": "d489f405-013e-4e8b-968a-1d9db2060050_png_jpg.rf.b6ede8915c0c026e32f0e8d070b1d247.jpg", "expected": "18", "predicted": "18", "correct": true, "input_tokens": 1170, "output_tokens": 530, "elapsed_seconds": 6.903231124975719, "metadata": {"question": "What is the total quantity (QTY) of all items described as \"Air Filter\" in the DESCRIPTION column? Output the final sum as a single integer (e.g., 15).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.9223}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 30, "image": "d0b99ce8-8a3b-4d1d-98d4-b34137b19f08_input-input-1768805031339-rs4dctz0p_png_jpg.rf.0b9ba7244c8f71c6879248740d0f2a0d.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1176, "output_tokens": 487, "elapsed_seconds": 7.844690875033848, "metadata": {"question": "Counting rows from the top starting at 1, in which row is the green 'American Bankers Association' stamp located? Output the row number as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.9454}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 31, "image": "06072daf-424d-471e-a5cb-f8821cf88eb6_input-input-1772637869821-qu9ua1cb8_png_jpg.rf.dbc22b4330271e95f97fe41a59e1179c.jpg", "expected": "0.1", "predicted": "0.1", "correct": true, "input_tokens": 1165, "output_tokens": 252, "elapsed_seconds": 4.88014570903033, "metadata": {"question": "What is the exact numerical value listed for Trans Fat per 100g? Format the answer as a decimal number.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.9317}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 32, "image": "06072daf-424d-471e-a5cb-f8821cf88eb6_input-input-1772637869821-qu9ua1cb8_png_jpg.rf.dbc22b4330271e95f97fe41a59e1179c.jpg", "expected": "CONSUMER.FEEDBACK@PEPSICO.COM", "predicted": "CONSUMER.FEEDBACK@PEPSICO.COM", "correct": true, "input_tokens": 1160, "output_tokens": 206, "elapsed_seconds": 5.108544875052758, "metadata": {"question": "What is the email address provided for consumer feedback or queries? Output the email address exactly as printed.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.1552}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 33, "image": "06072daf-424d-471e-a5cb-f8821cf88eb6_input-input-1772637869821-qu9ua1cb8_png_jpg.rf.dbc22b4330271e95f97fe41a59e1179c.jpg", "expected": "8901491001137", "predicted": "8901491001137", "correct": true, "input_tokens": 1165, "output_tokens": 534, "elapsed_seconds": 6.791424624971114, "metadata": {"question": "What is the 13-digit number printed directly below the barcode? Format the answer as a continuous sequence of digits.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.8387}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 34, "image": "5382e8f7-15f4-42a9-a54d-379a13cef073_input-input-1778848976488-hc2g5oq4u_png_jpg.rf.00a60ea7c1d1fe980ffa61040dbb248a.jpg", "expected": "13877350", "predicted": "13877350", "correct": true, "input_tokens": 1146, "output_tokens": 299, "elapsed_seconds": 6.807850959012285, "metadata": {"question": "What is the exact eight-digit number printed directly beneath the barcode in the top center \"Process Order\" section? Output the answer as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.9225}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 35, "image": "5382e8f7-15f4-42a9-a54d-379a13cef073_input-input-1778848976488-hc2g5oq4u_png_jpg.rf.00a60ea7c1d1fe980ffa61040dbb248a.jpg", "expected": "23:59:59", "predicted": "23:59:59", "correct": true, "input_tokens": 1146, "output_tokens": 304, "elapsed_seconds": 6.838387042051181, "metadata": {"question": "What is the precise time listed under \"Scheduled Finish\" in the Production Scheduler section? Format the answer exactly as it appears (HH:MM:SS)", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.9534}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 36, "image": "df23429e-5fcf-4520-b958-bc8eda842562_input-input-1779516894552-yx6kf3wwi_png_jpg.rf.162bd99f2b2cc0a242610ac878dada35.jpg", "expected": "000865491059", "predicted": "000865491059", "correct": true, "input_tokens": 1175, "output_tokens": 216, "elapsed_seconds": 6.194401292013936, "metadata": {"question": "What TIN is printed beside the QR code near the top right of the receipt? Format the answer as a continuous sequence of digits (e.g., 123456789012).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.2866}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 37, "image": "df23429e-5fcf-4520-b958-bc8eda842562_input-input-1779516894552-yx6kf3wwi_png_jpg.rf.162bd99f2b2cc0a242610ac878dada35.jpg", "expected": "GAX2354", "predicted": "GAX2354", "correct": true, "input_tokens": 1164, "output_tokens": 124, "elapsed_seconds": 3.975802958011627, "metadata": {"question": "What plate number is printed in large type under the 'PAYMENT DETAILS' header? Output the text exactly as printed (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.0731}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 38, "image": "df23429e-5fcf-4520-b958-bc8eda842562_input-input-1779516894552-yx6kf3wwi_png_jpg.rf.162bd99f2b2cc0a242610ac878dada35.jpg", "expected": "0760-000000202792", "predicted": "0760-000000202792", "correct": true, "input_tokens": 1186, "output_tokens": 334, "elapsed_seconds": 6.695676249917597, "metadata": {"question": "What is the long number printed immediately to the right of the dark \"OFFICIAL RECEIPT\" box? Format the answer as a continuous sequence of digits and hyphens (e.g., 1234-000000123456).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.7905}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 39, "image": "1710a83d-1506-464e-83bf-f015141f1c37_input-input-1779171626146-78hoa3cju_png_jpg.rf.a4a6a3c3c8761b330dfe9cd2bc8a847a.jpg", "expected": "Thursday 22", "predicted": "Thursday 22", "correct": true, "input_tokens": 1183, "output_tokens": 192, "elapsed_seconds": 6.138873083051294, "metadata": {"question": "What is the specific day of the week and date highlighted with a solid blue background on the right side of the calendar grid? Format the answer exactly as \"[Day of week] [Date number]\".", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.1567}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 40, "image": "fc6e5e8d-4b33-4a20-a63a-96c0205ae8f6_png_jpg.rf.25fdc583a5ef5268cc575d85fb3c0924.jpg", "expected": "189300", "predicted": "189300", "correct": true, "input_tokens": 1185, "output_tokens": 339, "elapsed_seconds": 7.451870875083841, "metadata": {"question": "What is the handwritten number written directly after \"R#\" at the bottom right corner of the page? Format the answer as a continuous sequence of digits (e.g., 123456).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.4807}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 41, "image": "76b25762-3b57-4158-9fab-945416165ada_png_jpg.rf.f417d6fc1ac47927bd5024452bf580e7.jpg", "expected": "#1123656-1", "predicted": "#1123656-1", "correct": true, "input_tokens": 1167, "output_tokens": 342, "elapsed_seconds": 13.262200416997075, "metadata": {"question": "What is the check number printed directly below the date 'TUE JANUARY 20, 2026'? Format the answer exactly as printed, including the hash symbol and hyphen (e.g., #123456-7).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 13.3867}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 42, "image": "c3f661e1-1ce5-4c6b-ba39-f052aa469ae2_input-input-1780892587755-2dtxi0at3_png_jpg.rf.2e59559f9c0a22eb34f879380e77c649.jpg", "expected": "Andrew Ainsley", "predicted": "Andrew Ainsley", "correct": true, "input_tokens": 1159, "output_tokens": 102, "elapsed_seconds": 9.302077917032875, "metadata": {"question": "What full name is shown beneath the 'Full Name' label? Output the text exactly as printed, preserving capitalization (e.g., Jane Doe).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.3188}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 43, "image": "c3f661e1-1ce5-4c6b-ba39-f052aa469ae2_input-input-1780892587755-2dtxi0at3_png_jpg.rf.2e59559f9c0a22eb34f879380e77c649.jpg", "expected": "+1-300-555-0399", "predicted": "+1-300-555-0399", "correct": true, "input_tokens": 1170, "output_tokens": 132, "elapsed_seconds": 4.066723290947266, "metadata": {"question": "What phone number is shown beneath the 'Phone Number' label? Output the phone number exactly as printed (e.g., +1-222-333-4444).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.0878}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 44, "image": "acc53733-7609-4a88-9125-d9671368e31c_png_jpg.rf.1ebb25f78d83e52eabcdf2422409904b.jpg", "expected": "1:31.396", "predicted": "1:31.396", "correct": true, "input_tokens": 1196, "output_tokens": 203, "elapsed_seconds": 5.380259832949378, "metadata": {"question": "What is the lap time displayed next to the driver \"NOR\" at the top of the timing tower? Format the answer exactly as it appears on screen (e.g., 1:23.456).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.423}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 45, "image": "fc635714-9747-4562-934a-76a998f30986_input-input-1769516774340-ndngcy0b8_png_jpg.rf.69006b774b46928d96d99b793ff005ee.jpg", "expected": "09/2023", "predicted": "09/2023", "correct": true, "input_tokens": 1192, "output_tokens": 1969, "elapsed_seconds": 25.098805124987848, "metadata": {"question": "What is the date printed vertically along the left edge of the central blister pack? Format the answer exactly as it appears, including any punctuation (e.g., 12/2025).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 25.1502}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 46, "image": "25e6ed9c-2d37-4533-8021-977770aa97d1_input-input-1780691294811-oql9y0w9f_png_jpg.rf.c03fb5cccd8a068f05019d0a4d371fc7.jpg", "expected": "026", "predicted": "026", "correct": true, "input_tokens": 1179, "output_tokens": 161, "elapsed_seconds": 5.041700750007294, "metadata": {"question": "What is the three-digit identification number printed on the white roof of the truck cab? Format the answer as a sequence of three digits.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.1683}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 47, "image": "1ad1c779-b18f-4aaa-9cf0-6155cb19879b_input-input-1769444672197-ug2bdacps_png_jpg.rf.995e162e3e39f5709ab077e0fbe2798b.jpg", "expected": "03/2027", "predicted": "I am unable to read the expiration date as the stamped text at the bottom of the blister pack is too blurry and degraded. Please provide a clearer, higher-resolution image.", "correct": false, "input_tokens": 1164, "output_tokens": 541, "elapsed_seconds": 9.65942591696512, "metadata": {"question": "What is the expiration date stamped at the bottom right corner of the left blister pack? Format the answer exactly as printed.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 9.6743}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 48, "image": "295f6019-a4f4-4a00-bb7b-6edfc37f54b6_input-input-1772410888497-d7tv6uegi_png_jpg.rf.efb04911d99ad83c1ce8d416c9966d16.jpg", "expected": "7811897358", "predicted": "7811897358", "correct": true, "input_tokens": 1138, "output_tokens": 450, "elapsed_seconds": 7.251783084007911, "metadata": {"question": "What is the NIP number printed near the top of the receipt? Format the answer as a continuous sequence of digits.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.3565}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 49, "image": "21a6d806-d16e-4452-a2e3-7fa520bd671d_input-input-1769360430457-50a88jpis_png_jpg.rf.aa61306d9e54120882fabd13146cb148.jpg", "expected": "DIN 912 M8x25", "predicted": "DIN 912 M8x25", "correct": true, "input_tokens": 1151, "output_tokens": 249, "elapsed_seconds": 29.16013545799069, "metadata": {"question": "What is the exact text printed on the white label attached to the front of the middle plastic bin? Format the answer exactly as it appears in the image, preserving capitalization and spacing.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 29.2848}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 50, "image": "db35c41c-a9ed-41bc-96cf-60186d715477_input-input-1774653477270-a4j6j7v6e_png_jpg.rf.57d75a03d42f0fc2b1029367596197db.jpg", "expected": "218", "predicted": "218", "correct": true, "input_tokens": 1188, "output_tokens": 183, "elapsed_seconds": 5.472515958012082, "metadata": {"question": "What number is printed on the side of the large white crane in the upper right background? Format the answer as a continuous sequence of digits (e.g., 123).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.5208}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 51, "image": "ac750e7d-de93-4813-828d-409d16bd176b_png_jpg.rf.8ce341df035e51f25255571745407ba8.jpg", "expected": "Rev #1", "predicted": "Rev #1", "correct": true, "input_tokens": 1161, "output_tokens": 265, "elapsed_seconds": 10.666487333015539, "metadata": {"question": "What is the handwritten text located at the top right corner of the page, above the \"OVERVIEW\" heading? Output the text exactly as written (e.g., Text #1).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.6875}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 52, "image": "f5be5818-9476-456d-be90-9636ea5b6baa_input-input-1775884904023-qoueoyinv_png_jpg.rf.bbf654b12e9dfcd3cdde57ef87b4b7d6.jpg", "expected": "510-795-6305", "predicted": "510-795-6305", "correct": true, "input_tokens": 1165, "output_tokens": 152, "elapsed_seconds": 6.806627625017427, "metadata": {"question": "What phone number is printed on the 'Fremont Hub' line below the bullseye logo? Format the answer exactly as a phone number with hyphens (e.g., 123-456-7890).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.8457}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 53, "image": "f5be5818-9476-456d-be90-9636ea5b6baa_input-input-1775884904023-qoueoyinv_png_jpg.rf.bbf654b12e9dfcd3cdde57ef87b4b7d6.jpg", "expected": "39201 Fremont Blvd", "predicted": "39201 Fremont Blvd", "correct": true, "input_tokens": 1151, "output_tokens": 178, "elapsed_seconds": 4.901885834056884, "metadata": {"question": "What street address is printed on the line below 'Fremont Hub'? Output the address exactly as printed (e.g., 12345 Main St).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.9428}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 54, "image": "f5be5818-9476-456d-be90-9636ea5b6baa_input-input-1775884904023-qoueoyinv_png_jpg.rf.bbf654b12e9dfcd3cdde57ef87b4b7d6.jpg", "expected": "01/16/2026", "predicted": "01/16/2026", "correct": true, "input_tokens": 1155, "output_tokens": 165, "elapsed_seconds": 4.709910499979742, "metadata": {"question": "What date is printed on the line directly above the barcode? Format the answer as MM/DD/YYYY (e.g., 04/05/2024).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.7483}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 55, "image": "f5be5818-9476-456d-be90-9636ea5b6baa_input-input-1775884904023-qoueoyinv_png_jpg.rf.bbf654b12e9dfcd3cdde57ef87b4b7d6.jpg", "expected": "$29.99", "predicted": "$29.99", "correct": true, "input_tokens": 1154, "output_tokens": 270, "elapsed_seconds": 6.554838124895468, "metadata": {"question": "What is the price listed for the \"BRITA ON TAP\" item in the KITCHEN section? Format the answer exactly as a dollar amount (e.g., $XX.XX).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.5944}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 56, "image": "f5be5818-9476-456d-be90-9636ea5b6baa_input-input-1775884904023-qoueoyinv_png_jpg.rf.bbf654b12e9dfcd3cdde57ef87b4b7d6.jpg", "expected": "245090218", "predicted": "245090218", "correct": true, "input_tokens": 1161, "output_tokens": 160, "elapsed_seconds": 9.843929041991942, "metadata": {"question": "What is the nine-digit item number printed to the left of \"BIOTRUE\"? Format the answer as a continuous sequence of digits (e.g., 890149100).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.8831}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 57, "image": "e6e06b1b-da53-41ac-bfdf-9316443ff037_png_jpg.rf.c1d6533563d5395cd9da770734324ce4.jpg", "expected": "31/3/24", "predicted": "31/3/24", "correct": true, "input_tokens": 1186, "output_tokens": 172, "elapsed_seconds": 5.889869124977849, "metadata": {"question": "What is the handwritten date written at the top left corner of the left page? Format the answer exactly as written (e.g., DD/M/YY).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.9401}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 58, "image": "1a2826ae-6b4f-402d-871c-c99feec8673f_input-input-1773615096287-0i6s4vldj_png_jpg.rf.0bb97f973f3ca866a8ddeff16f4a9ab8.jpg", "expected": "4e63b-59184", "predicted": "4e63b-59184", "correct": true, "input_tokens": 1199, "output_tokens": 550, "elapsed_seconds": 7.248285291949287, "metadata": {"question": "What is the first recovery code in the right column inside the dark code box? Format the answer as lowercase letters, digits, and a hyphen exactly as printed (e.g., ab123-cd456).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.2684}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 59, "image": "3250b041-2ce2-4500-a99d-6f95f5536be5_input-input-1779670032347-3m1xayuws_png_jpg.rf.f45bb85a65adb055ae0b0ce37334eb6d.jpg", "expected": "225/55 ZR 17", "predicted": "225/55 ZR 17", "correct": true, "input_tokens": 1165, "output_tokens": 274, "elapsed_seconds": 8.639492374961264, "metadata": {"question": "What is the large tire-size marking beside the checkered-flag logo? Output the text exactly as printed, preserving spaces and symbols (e.g., 205/60 R 16).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.7143}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 60, "image": "04a7e555-066a-4662-be7d-1fab1d0a89bb_input-input-1773204169910-pu44i2o85_png_jpg.rf.f1ffe888c2d54063f42898d657dfa906.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1140, "output_tokens": 297, "elapsed_seconds": 6.742577958037145, "metadata": {"question": "Which whole number on the dial is the needle of the main gauge pointing closest to? Output the answer as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.8212}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 61, "image": "9524ed4d-178c-4051-9357-7c560b07815a_png_jpg.rf.59849ff479e380b534b74d0addc8a4e5.jpg", "expected": "GBK9951P", "predicted": "GBK9951P", "correct": true, "input_tokens": 1162, "output_tokens": 139, "elapsed_seconds": 4.264776833006181, "metadata": {"question": "What is the license plate number on the vehicle? Format the answer as a continuous sequence of uppercase letters and digits with no spaces (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.2956}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 62, "image": "4bd1305c-ba69-4b95-acbd-aeedcde5aeb5_input-input-1778614713022-g8ey7mf8j_png_jpg.rf.05583223686725fe6e962b4344e9fc7c.jpg", "expected": "2026-02-10 14:30:56", "predicted": "2026-02-10 14:30:56", "correct": true, "input_tokens": 1172, "output_tokens": 258, "elapsed_seconds": 5.483281666995026, "metadata": {"question": "What timestamp is overlaid near the top-right corner of the image? Output the timestamp exactly as printed.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.53}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 63, "image": "2147a9a8-913a-4b7f-9b36-908eb54628d3_input-input-1771463083999-cj6damrec_png_jpg.rf.b1aa904aaf7b7942d731f9a9f25bc3e1.jpg", "expected": "06-28-2014", "predicted": "06-28-2014", "correct": true, "input_tokens": 1163, "output_tokens": 185, "elapsed_seconds": 28.232867125072517, "metadata": {"question": "What is the exact date printed in the bottom left section of the receipt, just below the item count? Format the answer exactly as it appears in the image.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 28.6469}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 64, "image": "2147a9a8-913a-4b7f-9b36-908eb54628d3_input-input-1771463083999-cj6damrec_png_jpg.rf.b1aa904aaf7b7942d731f9a9f25bc3e1.jpg", "expected": "3.79", "predicted": "3.79", "correct": true, "input_tokens": 1168, "output_tokens": 423, "elapsed_seconds": 6.584887124947272, "metadata": {"question": "What is the numerical price listed in the right column for the item specifically named \"EGGS 1 DOZ ORGANIC BROWN.\"? Output the price as a decimal number without currency symbols.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.6319}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 65, "image": "2147a9a8-913a-4b7f-9b36-908eb54628d3_input-input-1771463083999-cj6damrec_png_jpg.rf.b1aa904aaf7b7942d731f9a9f25bc3e1.jpg", "expected": "$40.00", "predicted": "$40.00", "correct": true, "input_tokens": 1170, "output_tokens": 293, "elapsed_seconds": 17.791670624981634, "metadata": {"question": "What is the exact cash amount tendered, printed directly to the right of the bold word \"CASH\" near the bottom of the receipt? Format the answer exactly as printed, including the dollar sign.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 17.8415}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 66, "image": "c1300d50-94fc-4081-b871-8338cef58e16_input-input-1778695950497-jbtexy630_png_jpg.rf.6fbb0636423109f2dfca5f2a22a6883a.jpg", "expected": "10:26", "predicted": "10:26", "correct": true, "input_tokens": 1190, "output_tokens": 240, "elapsed_seconds": 10.48812741599977, "metadata": {"question": "What is the time remaining in the period displayed in the center of the top scoreboard? Format the answer exactly as it appears on the screen (e.g., 12:34).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.5301}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 67, "image": "c1300d50-94fc-4081-b871-8338cef58e16_input-input-1778695950497-jbtexy630_png_jpg.rf.6fbb0636423109f2dfca5f2a22a6883a.jpg", "expected": "53", "predicted": "53", "correct": true, "input_tokens": 1186, "output_tokens": 256, "elapsed_seconds": 5.143136834027246, "metadata": {"question": "What is the total combined number of shots taken by both teams as displayed on the top scoreboard? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.1864}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 68, "image": "c1300d50-94fc-4081-b871-8338cef58e16_input-input-1778695950497-jbtexy630_png_jpg.rf.6fbb0636423109f2dfca5f2a22a6883a.jpg", "expected": "SEA 1 - TOR 1", "predicted": "SEA 1 - TOR 1", "correct": true, "input_tokens": 1189, "output_tokens": 219, "elapsed_seconds": 6.753524624975398, "metadata": {"question": "What is the current score shown on the top scoreboard? Format your answer as ABC N - ABC N using the two team abbreviations (e.g., SEA 1 - TOR 2).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.7941}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 69, "image": "eeee1640-5005-460c-a3f3-12dfff951fc5_png_jpg.rf.648ce83a788a4eb5a650235397675f44.jpg", "expected": "PC5949A", "predicted": "PC5949A", "correct": true, "input_tokens": 1162, "output_tokens": 254, "elapsed_seconds": 12.926481999922544, "metadata": {"question": "What is the license plate number on the vehicle? Format the answer as a continuous sequence of uppercase letters and digits with no spaces (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 12.9758}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 70, "image": "93441566-50c0-4bfb-9a31-437a2bc5e4f2_png_jpg.rf.078ab0583bc75e5a47971dc175d8a0a3.jpg", "expected": "OP01-013", "predicted": "OP01-013", "correct": true, "input_tokens": 1191, "output_tokens": 187, "elapsed_seconds": 4.272552374983206, "metadata": {"question": "What is the alphanumeric card code printed in the bottom right corner just before the block icon? Output the exact text as printed (e.g., \"OP02-001\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.2856}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 71, "image": "93441566-50c0-4bfb-9a31-437a2bc5e4f2_png_jpg.rf.078ab0583bc75e5a47971dc175d8a0a3.jpg", "expected": "3000", "predicted": "3000", "correct": true, "input_tokens": 1192, "output_tokens": 174, "elapsed_seconds": 4.225774999940768, "metadata": {"question": "What power value is printed in the white box at the top-right corner of the card? Format the answer as a continuous sequence of digits (e.g., 7000).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.2391}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 72, "image": "94f3adfa-0184-4872-8eb9-9f24e1a81a95_png_jpg.rf.2be986b2ba0f23bc57b7056a30d7423b.jpg", "expected": "1:26.0", "predicted": "1:26.0", "correct": true, "input_tokens": 1191, "output_tokens": 255, "elapsed_seconds": 5.349438334000297, "metadata": {"question": "What lap time is shown in large white digits inside the center HAMILTON panel? Format the answer exactly as a time with a colon and decimal (e.g., 1:23.4).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.3981}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 73, "image": "36e6af65-9cf0-4b16-b5b2-2dbf5d54ffae_input-input-1778190001786-w0937ikxt_png_jpg.rf.e59dce98ea670882a0a0bfb3e59730b2.jpg", "expected": "14", "predicted": "14", "correct": true, "input_tokens": 1173, "output_tokens": 2375, "elapsed_seconds": 30.000872500007972, "metadata": {"question": "What is the total number of empty ports on the white panel? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 30.0309}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 74, "image": "33299f4b-1857-4400-a31d-677ecd2c277a_input-input-1771415890481-7pfiombu0_png_jpg.rf.feabb125c41c69cf7d8c3aca315be50d.jpg", "expected": "12:07:56", "predicted": "12:07:56", "correct": true, "input_tokens": 1155, "output_tokens": 239, "elapsed_seconds": 4.945344290928915, "metadata": {"question": "What is the exact time displayed in the timestamp at the top left corner of the image? Format the answer exactly as HH:MM:SS.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.004}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 75, "image": "621387a6-d868-4912-90f1-7e8abd9df0c0_png_jpg.rf.a8276e972135e7eecb7d2d74936e608e.jpg", "expected": "TISSOT", "predicted": "TISSOT", "correct": true, "input_tokens": 1175, "output_tokens": 158, "elapsed_seconds": 6.132601749966852, "metadata": {"question": "aahat brand name is printed upside-down in large letters in the lower half of the watch dial? Output the exact text as printed (e.g., ROLEX).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.2309}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 76, "image": "621387a6-d868-4912-90f1-7e8abd9df0c0_png_jpg.rf.a8276e972135e7eecb7d2d74936e608e.jpg", "expected": "15", "predicted": "15", "correct": true, "input_tokens": 1178, "output_tokens": 823, "elapsed_seconds": 13.33450404193718, "metadata": {"question": "What number is visible in the small date window near the upper-left edge of the blue dial? Format the answer as a continuous sequence of digits (e.g., 24).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 13.4376}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 77, "image": "0e9ddffb-4d1d-4c64-bfce-3e518dd1c8ae_input-input-1779391692177-bujnsi4tk_png_jpg.rf.36d93ac4b35d2ac11fcc66f37ebddb4b.jpg", "expected": "2 000111 111112", "predicted": "2 000111 111112", "correct": true, "input_tokens": 1144, "output_tokens": 704, "elapsed_seconds": 9.3500996659277, "metadata": {"question": "What is the sequence of digits printed directly alongside the barcode on the left side of the meter? Format the answer exactly as printed, including spaces.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.4793}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 78, "image": "9557f58e-ee73-4877-8bff-54aaa8bee062_input-input-1769507524173-1hzc9hfio_png_jpg.rf.a5376988f390a31b2c12912c07892281.jpg", "expected": "18", "predicted": "18", "correct": true, "input_tokens": 1174, "output_tokens": 446, "elapsed_seconds": 7.249463582993485, "metadata": {"question": "What number is displayed clearly on the uppermost, flat face of the die? Output the answer as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.3134}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 79, "image": "f0c68933-64c5-49e6-8845-707afdc32a4e_input-input-1776058768062-tn8vkqrxk_png_jpg.rf.5d66532520dc17be0083a5fe2664c963.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1168, "output_tokens": 265, "elapsed_seconds": 6.503923749900423, "metadata": {"question": "What number is displayed in red on the digital indicator above the leftmost elevator doors? Output the exact digit (e.g., 5).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.5822}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 80, "image": "f0c68933-64c5-49e6-8845-707afdc32a4e_input-input-1776058768062-tn8vkqrxk_png_jpg.rf.5d66532520dc17be0083a5fe2664c963.jpg", "expected": "14", "predicted": "14", "correct": true, "input_tokens": 1176, "output_tokens": 390, "elapsed_seconds": 7.86770420789253, "metadata": {"question": "What floor is this scene on, based on any floor signage or indicators visible in the image? Format the answer as a continuous sequence of digits (e.g., 5).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.9473}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 81, "image": "4409ba1c-5b55-47e4-8fb3-ed245021d0bb_input-input-1776892569933-6scj88bzo_png_jpg.rf.c5d4d0e67097acc2dc0e5a026f4d5514.jpg", "expected": "NEXT", "predicted": "NEXT", "correct": true, "input_tokens": 1143, "output_tokens": 213, "elapsed_seconds": 5.5723874169634655, "metadata": {"question": "What retailer name is printed in large letters near the left side of the receipt? Output the exact uppercase word (e.g., STORE).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.6461}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 82, "image": "4409ba1c-5b55-47e4-8fb3-ed245021d0bb_input-input-1776892569933-6scj88bzo_png_jpg.rf.c5d4d0e67097acc2dc0e5a026f4d5514.jpg", "expected": "0333 0055 512", "predicted": "0333 0055 512", "correct": true, "input_tokens": 1165, "output_tokens": 276, "elapsed_seconds": 5.3267937920754775, "metadata": {"question": "What telephone number is printed on the line beginning with 'TEL' beneath 'London New Retail 0512'? Output the number exactly with spaces (e.g., 0123 4567 890).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.4009}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 83, "image": "4409ba1c-5b55-47e4-8fb3-ed245021d0bb_input-input-1776892569933-6scj88bzo_png_jpg.rf.c5d4d0e67097acc2dc0e5a026f4d5514.jpg", "expected": "14 Mar 2026", "predicted": "14 Mar 2026", "correct": true, "input_tokens": 1155, "output_tokens": 316, "elapsed_seconds": 5.4887545419624075, "metadata": {"question": "What calendar date is printed on the timestamp line beneath the TEL line? Output the date exactly as printed without the weekday or time (e.g., 01 Jan 2026).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.562}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 84, "image": "4409ba1c-5b55-47e4-8fb3-ed245021d0bb_input-input-1776892569933-6scj88bzo_png_jpg.rf.c5d4d0e67097acc2dc0e5a026f4d5514.jpg", "expected": "\u00a397.00", "predicted": "\u00a397.00", "correct": true, "input_tokens": 1156, "output_tokens": 367, "elapsed_seconds": 5.238501165993512, "metadata": {"question": "What total refund amount is printed next to 'TOTAL REFUNDED TO ACCOUNT' in the middle of the receipt? Format the answer exactly as a pound amount (e.g., \u00a3XX.XX).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.3155}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 85, "image": "19f45907-d682-40cf-bb87-9133dc873871_input-input-1778506438615-gyarfruw4_png_jpg.rf.22e9fb7526b6b695a79118f2794a9ab3.jpg", "expected": "037156273", "predicted": "037156273", "correct": true, "input_tokens": 1191, "output_tokens": 469, "elapsed_seconds": 7.0689024169696495, "metadata": {"question": "What is the serial number printed directly after \"S/N:\" at the top of the meter? Format the answer as a continuous sequence of digits.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.0908}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 86, "image": "1a8ee468-d168-4cec-bf83-881ad2853ed9_png_jpg.rf.02ee8e87c0ee9b2581f17ccbdb8fa702.jpg", "expected": "NYKU3687780", "predicted": "NYKU3687780", "correct": true, "input_tokens": 1159, "output_tokens": 699, "elapsed_seconds": 8.30542716709897, "metadata": {"question": "What is the vertical container identification code printed on the far left of the blue container? Format the answer as a continuous sequence of letters and numbers without spaces (e.g., ABCD1234567).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.3751}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 87, "image": "1a8ee468-d168-4cec-bf83-881ad2853ed9_png_jpg.rf.02ee8e87c0ee9b2581f17ccbdb8fa702.jpg", "expected": "22G1", "predicted": "22G1", "correct": true, "input_tokens": 1148, "output_tokens": 347, "elapsed_seconds": 12.634141625021584, "metadata": {"question": "Which four-character code is printed vertically directly above the yellow height limit sign on the blue container? Output the code exactly as printed (e.g., ABCD).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 12.7077}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 88, "image": "ae20b44c-9be6-47a5-8002-2c417a2a2441_png_jpg.rf.d312136933cbfcb91483a2dfad0d53bd.jpg", "expected": "Sesame Seed", "predicted": "Sesame Seed", "correct": true, "input_tokens": 1165, "output_tokens": 219, "elapsed_seconds": 7.99853283399716, "metadata": {"question": "What bold allergen name appears in the ingredients paragraph next to the word \"Paste\"? Output the text exactly as printed (e.g., Wheat).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.0125}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 89, "image": "ae20b44c-9be6-47a5-8002-2c417a2a2441_png_jpg.rf.d312136933cbfcb91483a2dfad0d53bd.jpg", "expected": "Per 1/4 pot", "predicted": "Per 1/4 pot", "correct": true, "input_tokens": 1176, "output_tokens": 299, "elapsed_seconds": 4.495472208014689, "metadata": {"question": "Which nutrition table header is immediately to the right of \"Per 100g\" in the row beneath \"NUTRITION\"? Output the text exactly as printed (e.g., Per item).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.506}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 90, "image": "0212eb3d-e4b1-4ef4-9204-e920654bf677_input-input-1778110710064-oqhw5zz8j_png_jpg.rf.014217c55a8b2da0df65b97e042ed090.jpg", "expected": "$44.99", "predicted": "$44.99", "correct": true, "input_tokens": 1158, "output_tokens": 340, "elapsed_seconds": 7.803447415935807, "metadata": {"question": "What is the price displayed on the green \"Price Cut\" tag directly beneath the Four Roses Single Barrel on the top shelf? Format the answer exactly as a dollar amount (e.g., $XX.XX).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.9294}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 91, "image": "bab22192-40dc-46bd-b314-ea08adf480e4_input-input-1768993566899-f1f6n85t5_png_jpg.rf.e266ed38188402a2fd66c6ee3416a4f0.jpg", "expected": "250ml", "predicted": "250ml", "correct": true, "input_tokens": 1147, "output_tokens": 214, "elapsed_seconds": 4.411023666034453, "metadata": {"question": "What capacity text is printed beneath the Fisherbrand logo on the right beaker? Output exactly with no added space (e.g., 100ml).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.4907}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 92, "image": "bab22192-40dc-46bd-b314-ea08adf480e4_input-input-1768993566899-f1f6n85t5_png_jpg.rf.e266ed38188402a2fd66c6ee3416a4f0.jpg", "expected": "150ml", "predicted": "150 ml", "correct": true, "input_tokens": 1156, "output_tokens": 2712, "elapsed_seconds": 32.371200874913484, "metadata": {"question": "What is the liquid level in the leftmost beaker, as read from its printed measurement scale? Format the answer as a number followed by a space and ml (e.g., 100ml).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 32.4511}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 93, "image": "537aaf5f-ca39-4266-beec-32e4e9b2e3aa_png_jpg.rf.7a1f952bb873dc687f3b3f3d0dfe0301.jpg", "expected": "SLV3235L", "predicted": "SLV3235L", "correct": true, "input_tokens": 1167, "output_tokens": 390, "elapsed_seconds": 6.031093499972485, "metadata": {"question": "What is the license plate number on the vehicle? Format the answer as a continuous sequence of uppercase letters and digits with no spaces (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.0385}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 94, "image": "39fe721b-44c4-4a0c-aeac-2897520dfa68_input-input-1781394102861-00bvuicbi_png_jpg.rf.363242f15c7e98f02eea7cb38d065c13.jpg", "expected": "205/60 R 16", "predicted": "205/60 R 16", "correct": true, "input_tokens": 1166, "output_tokens": 674, "elapsed_seconds": 10.3337164579425, "metadata": {"question": "What is the large alphanumeric tire size sequence printed on the right side of the sidewall? Output the exact text including spaces and slashes.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.4096}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 95, "image": "0e4e059a-dffb-4d94-8827-06ec9a325906_input-input-1780878352625-ut880vj94_png_jpg.rf.bfa6b203688cdd30b56b2d4a213fe38e.jpg", "expected": "Brixx", "predicted": "Brixx", "correct": true, "input_tokens": 1159, "output_tokens": 140, "elapsed_seconds": 3.513212416903116, "metadata": {"question": "What restaurant name is printed at the top center of the receipt? Output the text exactly as printed (e.g., Pizzeria Uno).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.5321}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 96, "image": "0e4e059a-dffb-4d94-8827-06ec9a325906_input-input-1780878352625-ut880vj94_png_jpg.rf.bfa6b203688cdd30b56b2d4a213fe38e.jpg", "expected": "501 Meadowmont Village Circle", "predicted": "501 Meadowmont Village Circle", "correct": true, "input_tokens": 1164, "output_tokens": 396, "elapsed_seconds": 5.388212582911365, "metadata": {"question": "What street address is printed directly beneath the \"Brixx\" heading? Output the address exactly as printed (e.g., 123 Main Street).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.4041}} diff --git a/results/extraction_gemini-4-argon-eap_high_20261013_071605.jsonl b/results/extraction_gemini-4-argon-eap_high_20261013_071605.jsonl deleted file mode 100644 index 1a17797..0000000 --- a/results/extraction_gemini-4-argon-eap_high_20261013_071605.jsonl +++ /dev/null @@ -1,97 +0,0 @@ -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 0, "image": "9a8c8b2e-fb85-4a29-8a8e-c4d8e90a263c_input-input-1771415218745-lelho5crz_png_jpg.rf.c532e07f580fa8f33418c4e51767f52f.jpg", "expected": "10:27", "predicted": "10:27", "correct": true, "input_tokens": 1184, "output_tokens": 151, "elapsed_seconds": 44.8679248749977, "metadata": {"question": "What is the time displayed in the top left corner of the dashboard? Format the answer exactly as it appears (e.g., 12:34).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 44.9704}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 1, "image": "9a8c8b2e-fb85-4a29-8a8e-c4d8e90a263c_input-input-1771415218745-lelho5crz_png_jpg.rf.c532e07f580fa8f33418c4e51767f52f.jpg", "expected": "7507 km", "predicted": "7507 km", "correct": true, "input_tokens": 1191, "output_tokens": 488, "elapsed_seconds": 19.737039375002496, "metadata": {"question": "What is the total odometer reading shown directly to the right of the 'P' gear indicator? Format the answer exactly as printed including the unit (e.g., 1234 km).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 19.8293}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 2, "image": "9a8c8b2e-fb85-4a29-8a8e-c4d8e90a263c_input-input-1771415218745-lelho5crz_png_jpg.rf.c532e07f580fa8f33418c4e51767f52f.jpg", "expected": "20.5\u00b0C", "predicted": "20.5\u00b0C", "correct": true, "input_tokens": 1191, "output_tokens": 308, "elapsed_seconds": 20.87120179203339, "metadata": {"question": "What is the temperature reading displayed in the top right corner of the dashboard? Format the answer exactly as printed including the degree symbol and unit (e.g., 22.0\u00b0C).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 20.9594}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 3, "image": "66bbef87-2e52-4a5a-8583-f52fbfa7465d_input-input-1778826066883-6t9qhnglh_png_jpg.rf.90a49214642ae3efbd28a7ef58d4a0d0.jpg", "expected": "$254", "predicted": "$254", "correct": true, "input_tokens": 1173, "output_tokens": 133, "elapsed_seconds": 15.56650349998381, "metadata": {"question": "What is the total price for the Icon Room, explicitly stated to include taxes & fees? Output the answer exactly as printed, including the dollar sign.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 15.6068}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 4, "image": "66bbef87-2e52-4a5a-8583-f52fbfa7465d_input-input-1778826066883-6t9qhnglh_png_jpg.rf.90a49214642ae3efbd28a7ef58d4a0d0.jpg", "expected": "1500", "predicted": "1500", "correct": true, "input_tokens": 1183, "output_tokens": 264, "elapsed_seconds": 11.334505792008713, "metadata": {"question": "According to the \"Surroundings\" list on the right side of the page, what is the exact distance in feet to the Richmond Night Market? Output the answer as a single integer without units.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.3786}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 5, "image": "66bbef87-2e52-4a5a-8583-f52fbfa7465d_input-input-1778826066883-6t9qhnglh_png_jpg.rf.90a49214642ae3efbd28a7ef58d4a0d0.jpg", "expected": "9.1", "predicted": "9.1", "correct": true, "input_tokens": 1176, "output_tokens": 164, "elapsed_seconds": 17.30035041598603, "metadata": {"question": "What is the numerical customer review rating out of 10 displayed in the blue circle on the right side of the page? Output the answer as a decimal number.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 17.3442}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 6, "image": "c9b00dcb-e093-43d9-baf8-f1971ff328af_input-input-1769103177177-3x5hfzwbp_png_jpg.rf.95edcd11e5d8724ab285b69ba52f6deb.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1143, "output_tokens": 137, "elapsed_seconds": 11.641175915952772, "metadata": {"question": "What handwritten number appears near the upper left corner of the card? Format the answer as a single digit (e.g., 7).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.6933}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 7, "image": "c9b00dcb-e093-43d9-baf8-f1971ff328af_input-input-1769103177177-3x5hfzwbp_png_jpg.rf.95edcd11e5d8724ab285b69ba52f6deb.jpg", "expected": "G230", "predicted": "G230", "correct": true, "input_tokens": 1144, "output_tokens": 633, "elapsed_seconds": 15.779131458024494, "metadata": {"question": "What is the alphanumeric code printed on the tan half of the capsule? Output the exact text (e.g., \"A123\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 15.8318}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 8, "image": "f0d4c0bf-3a21-41a5-b0c2-c33b94feadb4_input-input-1771859752511-bk56l0pe1_png_jpg.rf.6c4ddb547fa7d14bea520ceb83d179fe.jpg", "expected": "63.490", "predicted": "63.490", "correct": true, "input_tokens": 1147, "output_tokens": 198, "elapsed_seconds": 8.500996834016405, "metadata": {"question": "What is the numerical value for the NET weight in LBS printed on the right door of the shipping container? Format the answer as a number including the decimal point.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.5997}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 9, "image": "f0d4c0bf-3a21-41a5-b0c2-c33b94feadb4_input-input-1771859752511-bk56l0pe1_png_jpg.rf.6c4ddb547fa7d14bea520ceb83d179fe.jpg", "expected": "TCKU 612608 6 45G1", "predicted": "TCKU 612608 6 45G1", "correct": true, "input_tokens": 1153, "output_tokens": 1376, "elapsed_seconds": 30.354571084026247, "metadata": {"question": "What is the complete two-line identification text printed in white on the upper right side of the container doors? Format the answer with a single space separating the top sequence from the bottom sequence.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 30.4535}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 10, "image": "f0d4c0bf-3a21-41a5-b0c2-c33b94feadb4_input-input-1771859752511-bk56l0pe1_png_jpg.rf.6c4ddb547fa7d14bea520ceb83d179fe.jpg", "expected": "2516510", "predicted": "2516890", "correct": false, "input_tokens": 1135, "output_tokens": 11801, "elapsed_seconds": 117.35947316605598, "metadata": {"question": "What is the license plate number on the trailer? Format the answer as a continuous sequence of digits.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 117.4254}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 11, "image": "c9dbd271-e8bd-4a4c-9d90-dcc53a4910f6_input-input-1776792452299-9guc9kcwh_png_jpg.rf.499be0493ce07a3ce99ad741b1087b71.jpg", "expected": "0.40", "predicted": "0.40", "correct": true, "input_tokens": 1177, "output_tokens": 919, "elapsed_seconds": 15.728182999999262, "metadata": {"question": "What time is shown on the left display of the red chess clock behind the board? Format the answer as a time with a colon (e.g., 1.23).", "strict_correct": true, "judge_correct": true, "attempts": 2, "retries": 1, "total_seconds": 79.5275, "transient_errors": ["RemoteProtocolError"]}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 12, "image": "91b13b86-2929-4232-a4d1-a9a98420477e_png_jpg.rf.2d391bd85b3ed91712271a024089677e.jpg", "expected": "GZ808S", "predicted": "GZ808S", "correct": true, "input_tokens": 1172, "output_tokens": 598, "elapsed_seconds": 19.905634499969892, "metadata": {"question": "What is the license plate number on the vehicle? Format the answer as a continuous sequence of uppercase letters and digits with no spaces (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 19.912}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 13, "image": "d2029347-fd3c-40be-8d89-b0e1abf64e9b_input-input-1781204084098-88xr6eavh_png_jpg.rf.21d8156058ed4f8ed2cffba4507eedee.jpg", "expected": "9CGN302", "predicted": "9CGN302", "correct": true, "input_tokens": 1152, "output_tokens": 129, "elapsed_seconds": 8.545134415966459, "metadata": {"question": "What is the license plate number on the rear of the black SUV? Format the answer as a continuous sequence of uppercase letters and digits (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.6173}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 14, "image": "d2029347-fd3c-40be-8d89-b0e1abf64e9b_input-input-1781204084098-88xr6eavh_png_jpg.rf.21d8156058ed4f8ed2cffba4507eedee.jpg", "expected": "7WQV954", "predicted": "7WQV954", "correct": true, "input_tokens": 1156, "output_tokens": 699, "elapsed_seconds": 14.55413479206618, "metadata": {"question": "What is the license plate number on the rear of the grey car in the upper left? Format the answer as a continuous sequence of uppercase letters and digits (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 14.6225}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 15, "image": "d2029347-fd3c-40be-8d89-b0e1abf64e9b_input-input-1781204084098-88xr6eavh_png_jpg.rf.21d8156058ed4f8ed2cffba4507eedee.jpg", "expected": "YUKON", "predicted": "YUKON", "correct": true, "input_tokens": 1149, "output_tokens": 174, "elapsed_seconds": 6.6173553329426795, "metadata": {"question": "What text is written in silver letters on the lower left of the black SUV's tailgate? Output the exact text as printed (e.g., EXPLORER).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.6858}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 16, "image": "020c3db8-dcc2-40e0-bf26-c874edb1612b_png_jpg.rf.a299e53bc85c66b204fae58e26a1e19b.jpg", "expected": "NCY1", "predicted": "NCY1", "correct": true, "input_tokens": 1178, "output_tokens": 557, "elapsed_seconds": 16.52741387509741, "metadata": {"question": "What is the item code listed directly above 'CDMF' in the 'Item Code' column? Output the code exactly as printed in uppercase (e.g., ABCD).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 16.5813}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 17, "image": "41a7e177-1031-4d8e-bdee-eecbb1f0d240_input-input-1774997209388-d3qjo2hm2_png_jpg.rf.9a0e0f41aecab5811b006d59b42506db.jpg", "expected": "005708", "predicted": "005708", "correct": true, "input_tokens": 1169, "output_tokens": 202, "elapsed_seconds": 6.81954212510027, "metadata": {"question": "What six-digit meter reading is shown in the black-framed LCD display? Format the answer as a continuous sequence of digits.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.8291}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 18, "image": "26584325-f95e-41e4-9f4b-99afc5ff078d_png_jpg.rf.30e30b60362db55140cd5874abc92899.jpg", "expected": "SIMONE KOVENSKY", "predicted": "SIMONE KOVENSKY", "correct": true, "input_tokens": 1152, "output_tokens": 211, "elapsed_seconds": 8.0008727919776, "metadata": {"question": "What is the name written in the 'CLIENT:' field at the top right of the form? Output the name exactly as written in all capital letters (e.g., JOHN DOE).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.0841}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 19, "image": "c56ead6c-0697-4216-a27e-fbd28c19aaed_input-input-1781393738001-e3qhlmchi_png_jpg.rf.904ea3d34bf309c1a08a8147dd181e22.jpg", "expected": "225/65 R 17", "predicted": "225/65 R 17", "correct": true, "input_tokens": 1203, "output_tokens": 270, "elapsed_seconds": 11.286755457986146, "metadata": {"question": "What is the tire size printed directly to the right of the top-left \"MICHELIN\" brand name? Output the exact text as printed (e.g., 205/55 R 16).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.3355}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 20, "image": "c56ead6c-0697-4216-a27e-fbd28c19aaed_input-input-1781393738001-e3qhlmchi_png_jpg.rf.904ea3d34bf309c1a08a8147dd181e22.jpg", "expected": "POLAND", "predicted": "POLAND", "correct": true, "input_tokens": 1191, "output_tokens": 357, "elapsed_seconds": 8.050430875038728, "metadata": {"question": "What country is printed inside the oval directly below the words \"MADE IN\" on the bottom tire? Output the exact text as printed (e.g., GERMANY).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.0961}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 21, "image": "dce06136-2d24-422b-a3b6-e100c9a4bad1_input-input-1780992231793-0zf74ymfd_png_jpg.rf.d839d1c678628694e2bff03a7de7f25a.jpg", "expected": "1800 22 4020", "predicted": "1800 22 4020", "correct": true, "input_tokens": 1164, "output_tokens": 211, "elapsed_seconds": 4.807273458107375, "metadata": {"question": "What phone number is printed after the line \"OR CALL US AT\"? Output the number exactly as printed, preserving spaces.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.8548}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 22, "image": "dce06136-2d24-422b-a3b6-e100c9a4bad1_input-input-1780992231793-0zf74ymfd_png_jpg.rf.d839d1c678628694e2bff03a7de7f25a.jpg", "expected": "8901491361026", "predicted": "8901491361026", "correct": true, "input_tokens": 1157, "output_tokens": 372, "elapsed_seconds": 28.703677041921765, "metadata": {"question": "What number is printed directly beneath the barcode on the package? Respond with digits only.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 28.7521}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 23, "image": "dce06136-2d24-422b-a3b6-e100c9a4bad1_input-input-1780992231793-0zf74ymfd_png_jpg.rf.d839d1c678628694e2bff03a7de7f25a.jpg", "expected": "558 kcal", "predicted": "558 kcal", "correct": true, "input_tokens": 1168, "output_tokens": 426, "elapsed_seconds": 14.755685833049938, "metadata": {"question": "In the nutritional information table, what is the Energy value per 100g? Respond with the number and unit exactly as shown.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 14.8042}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 24, "image": "145655c9-ac14-4dbb-8925-e2b81fb119e3_input-input-1778072520416-hq28k5crq_png_jpg.rf.4778c32b3806b491466ac777daff1840.jpg", "expected": "0176213", "predicted": "0176213", "correct": true, "input_tokens": 1150, "output_tokens": 503, "elapsed_seconds": 10.145566625054926, "metadata": {"question": "What is the large, bold, seven digit number printed at the bottom right corner of the label attached to the metal shelf? Format the answer as a continuous sequence of digits.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.2133}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 25, "image": "145655c9-ac14-4dbb-8925-e2b81fb119e3_input-input-1778072520416-hq28k5crq_png_jpg.rf.4778c32b3806b491466ac777daff1840.jpg", "expected": "36", "predicted": "36", "correct": true, "input_tokens": 1142, "output_tokens": 1757, "elapsed_seconds": 22.01358575001359, "metadata": {"question": "What is the total number of white PVC profile cross-sections visible in the entire stack? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 22.0852}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 26, "image": "47ad34a1-d784-48fd-bf0b-9814791703e3_input-input-1779422613724-1i91z3id8_png_jpg.rf.b05b9398755d107d94666106dd5d8aa8.jpg", "expected": "6315", "predicted": "6315", "correct": true, "input_tokens": 1169, "output_tokens": 260, "elapsed_seconds": 6.168518624966964, "metadata": {"question": "What fleet number is printed on the rear window of the yellow bus at the right edge? Format the answer as a continuous sequence of digits (e.g., 1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.2432}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 27, "image": "47ad34a1-d784-48fd-bf0b-9814791703e3_input-input-1779422613724-1i91z3id8_png_jpg.rf.b05b9398755d107d94666106dd5d8aa8.jpg", "expected": "ZL 7237", "predicted": "ZL 7237", "correct": true, "input_tokens": 1168, "output_tokens": 126, "elapsed_seconds": 4.3084286249941215, "metadata": {"question": "What is the license plate number of the black SUV in the foreground right lane? Format the answer exactly as printed, including spaces (e.g., AB 1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.3852}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 28, "image": "cc68304c-144a-4975-a93a-d8efa85db6ed_input-input-1769095484858-rohdg9mmc_png_jpg.rf.378e0d7628c9899c5d343c8f700ca50b.jpg", "expected": "34", "predicted": "34", "correct": true, "input_tokens": 1170, "output_tokens": 402, "elapsed_seconds": 7.354083750047721, "metadata": {"question": "What is the large number displayed on the digital screen of the device? Output the exact number.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.4096}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 29, "image": "d489f405-013e-4e8b-968a-1d9db2060050_png_jpg.rf.b6ede8915c0c026e32f0e8d070b1d247.jpg", "expected": "18", "predicted": "18", "correct": true, "input_tokens": 1170, "output_tokens": 582, "elapsed_seconds": 7.116144958999939, "metadata": {"question": "What is the total quantity (QTY) of all items described as \"Air Filter\" in the DESCRIPTION column? Output the final sum as a single integer (e.g., 15).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.1324}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 30, "image": "d0b99ce8-8a3b-4d1d-98d4-b34137b19f08_input-input-1768805031339-rs4dctz0p_png_jpg.rf.0b9ba7244c8f71c6879248740d0f2a0d.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1176, "output_tokens": 307, "elapsed_seconds": 25.043123916955665, "metadata": {"question": "Counting rows from the top starting at 1, in which row is the green 'American Bankers Association' stamp located? Output the row number as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 25.1448}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 31, "image": "06072daf-424d-471e-a5cb-f8821cf88eb6_input-input-1772637869821-qu9ua1cb8_png_jpg.rf.dbc22b4330271e95f97fe41a59e1179c.jpg", "expected": "0.1", "predicted": "0.1", "correct": true, "input_tokens": 1165, "output_tokens": 266, "elapsed_seconds": 6.613892416935414, "metadata": {"question": "What is the exact numerical value listed for Trans Fat per 100g? Format the answer as a decimal number.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.6632}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 32, "image": "06072daf-424d-471e-a5cb-f8821cf88eb6_input-input-1772637869821-qu9ua1cb8_png_jpg.rf.dbc22b4330271e95f97fe41a59e1179c.jpg", "expected": "CONSUMER.FEEDBACK@PEPSICO.COM", "predicted": "CONSUMER.FEEDBACK@PEPSICO.COM", "correct": true, "input_tokens": 1160, "output_tokens": 260, "elapsed_seconds": 5.392113792011514, "metadata": {"question": "What is the email address provided for consumer feedback or queries? Output the email address exactly as printed.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.4399}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 33, "image": "06072daf-424d-471e-a5cb-f8821cf88eb6_input-input-1772637869821-qu9ua1cb8_png_jpg.rf.dbc22b4330271e95f97fe41a59e1179c.jpg", "expected": "8901491001137", "predicted": "8901491001137", "correct": true, "input_tokens": 1165, "output_tokens": 362, "elapsed_seconds": 5.403701292001642, "metadata": {"question": "What is the 13-digit number printed directly below the barcode? Format the answer as a continuous sequence of digits.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.4543}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 34, "image": "5382e8f7-15f4-42a9-a54d-379a13cef073_input-input-1778848976488-hc2g5oq4u_png_jpg.rf.00a60ea7c1d1fe980ffa61040dbb248a.jpg", "expected": "13877350", "predicted": "13877350", "correct": true, "input_tokens": 1146, "output_tokens": 308, "elapsed_seconds": 5.790826834039763, "metadata": {"question": "What is the exact eight-digit number printed directly beneath the barcode in the top center \"Process Order\" section? Output the answer as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.9097}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 35, "image": "5382e8f7-15f4-42a9-a54d-379a13cef073_input-input-1778848976488-hc2g5oq4u_png_jpg.rf.00a60ea7c1d1fe980ffa61040dbb248a.jpg", "expected": "23:59:59", "predicted": "23:59:59", "correct": true, "input_tokens": 1146, "output_tokens": 340, "elapsed_seconds": 15.848925417056307, "metadata": {"question": "What is the precise time listed under \"Scheduled Finish\" in the Production Scheduler section? Format the answer exactly as it appears (HH:MM:SS)", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 15.9677}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 36, "image": "df23429e-5fcf-4520-b958-bc8eda842562_input-input-1779516894552-yx6kf3wwi_png_jpg.rf.162bd99f2b2cc0a242610ac878dada35.jpg", "expected": "000865491059", "predicted": "000865491059", "correct": true, "input_tokens": 1175, "output_tokens": 296, "elapsed_seconds": 9.345934666926041, "metadata": {"question": "What TIN is printed beside the QR code near the top right of the receipt? Format the answer as a continuous sequence of digits (e.g., 123456789012).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.4405}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 37, "image": "df23429e-5fcf-4520-b958-bc8eda842562_input-input-1779516894552-yx6kf3wwi_png_jpg.rf.162bd99f2b2cc0a242610ac878dada35.jpg", "expected": "GAX2354", "predicted": "GAX2354", "correct": true, "input_tokens": 1164, "output_tokens": 179, "elapsed_seconds": 5.465883624972776, "metadata": {"question": "What plate number is printed in large type under the 'PAYMENT DETAILS' header? Output the text exactly as printed (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.5642}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 38, "image": "df23429e-5fcf-4520-b958-bc8eda842562_input-input-1779516894552-yx6kf3wwi_png_jpg.rf.162bd99f2b2cc0a242610ac878dada35.jpg", "expected": "0760-000000202792", "predicted": "0760-000000202792", "correct": true, "input_tokens": 1186, "output_tokens": 471, "elapsed_seconds": 12.784727999940515, "metadata": {"question": "What is the long number printed immediately to the right of the dark \"OFFICIAL RECEIPT\" box? Format the answer as a continuous sequence of digits and hyphens (e.g., 1234-000000123456).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 12.88}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 39, "image": "1710a83d-1506-464e-83bf-f015141f1c37_input-input-1779171626146-78hoa3cju_png_jpg.rf.a4a6a3c3c8761b330dfe9cd2bc8a847a.jpg", "expected": "Thursday 22", "predicted": "Thursday 22", "correct": true, "input_tokens": 1183, "output_tokens": 185, "elapsed_seconds": 4.600276917102747, "metadata": {"question": "What is the specific day of the week and date highlighted with a solid blue background on the right side of the calendar grid? Format the answer exactly as \"[Day of week] [Date number]\".", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.6151}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 40, "image": "fc6e5e8d-4b33-4a20-a63a-96c0205ae8f6_png_jpg.rf.25fdc583a5ef5268cc575d85fb3c0924.jpg", "expected": "189300", "predicted": "189300", "correct": true, "input_tokens": 1185, "output_tokens": 343, "elapsed_seconds": 6.121596207958646, "metadata": {"question": "What is the handwritten number written directly after \"R#\" at the bottom right corner of the page? Format the answer as a continuous sequence of digits (e.g., 123456).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.1514}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 41, "image": "76b25762-3b57-4158-9fab-945416165ada_png_jpg.rf.f417d6fc1ac47927bd5024452bf580e7.jpg", "expected": "#1123656-1", "predicted": "#1123656-1", "correct": true, "input_tokens": 1167, "output_tokens": 215, "elapsed_seconds": 22.701416249969043, "metadata": {"question": "What is the check number printed directly below the date 'TUE JANUARY 20, 2026'? Format the answer exactly as printed, including the hash symbol and hyphen (e.g., #123456-7).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 22.8349}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 42, "image": "c3f661e1-1ce5-4c6b-ba39-f052aa469ae2_input-input-1780892587755-2dtxi0at3_png_jpg.rf.2e59559f9c0a22eb34f879380e77c649.jpg", "expected": "Andrew Ainsley", "predicted": "Andrew Ainsley", "correct": true, "input_tokens": 1159, "output_tokens": 196, "elapsed_seconds": 4.270209583104588, "metadata": {"question": "What full name is shown beneath the 'Full Name' label? Output the text exactly as printed, preserving capitalization (e.g., Jane Doe).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.2881}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 43, "image": "c3f661e1-1ce5-4c6b-ba39-f052aa469ae2_input-input-1780892587755-2dtxi0at3_png_jpg.rf.2e59559f9c0a22eb34f879380e77c649.jpg", "expected": "+1-300-555-0399", "predicted": "+1-300-555-0399", "correct": true, "input_tokens": 1170, "output_tokens": 152, "elapsed_seconds": 3.98324158298783, "metadata": {"question": "What phone number is shown beneath the 'Phone Number' label? Output the phone number exactly as printed (e.g., +1-222-333-4444).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.0174}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 44, "image": "acc53733-7609-4a88-9125-d9671368e31c_png_jpg.rf.1ebb25f78d83e52eabcdf2422409904b.jpg", "expected": "1:31.396", "predicted": "1:31.396", "correct": true, "input_tokens": 1196, "output_tokens": 299, "elapsed_seconds": 19.823846374987625, "metadata": {"question": "What is the lap time displayed next to the driver \"NOR\" at the top of the timing tower? Format the answer exactly as it appears on screen (e.g., 1:23.456).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 19.8676}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 45, "image": "fc635714-9747-4562-934a-76a998f30986_input-input-1769516774340-ndngcy0b8_png_jpg.rf.69006b774b46928d96d99b793ff005ee.jpg", "expected": "09/2023", "predicted": "09/2023", "correct": true, "input_tokens": 1192, "output_tokens": 554, "elapsed_seconds": 12.708289916045032, "metadata": {"question": "What is the date printed vertically along the left edge of the central blister pack? Format the answer exactly as it appears, including any punctuation (e.g., 12/2025).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 12.7592}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 46, "image": "25e6ed9c-2d37-4533-8021-977770aa97d1_input-input-1780691294811-oql9y0w9f_png_jpg.rf.c03fb5cccd8a068f05019d0a4d371fc7.jpg", "expected": "026", "predicted": "026", "correct": true, "input_tokens": 1179, "output_tokens": 627, "elapsed_seconds": 13.067716792109422, "metadata": {"question": "What is the three-digit identification number printed on the white roof of the truck cab? Format the answer as a sequence of three digits.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 13.1211}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 47, "image": "1ad1c779-b18f-4aaa-9cf0-6155cb19879b_input-input-1769444672197-ug2bdacps_png_jpg.rf.995e162e3e39f5709ab077e0fbe2798b.jpg", "expected": "03/2027", "predicted": "The stamped expiration date is too blurry and degraded to read clearly. Please provide a clearer, higher-resolution image so I can read it accurately.", "correct": false, "input_tokens": 1164, "output_tokens": 683, "elapsed_seconds": 10.175695042009465, "metadata": {"question": "What is the expiration date stamped at the bottom right corner of the left blister pack? Format the answer exactly as printed.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 10.1917}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 48, "image": "295f6019-a4f4-4a00-bb7b-6edfc37f54b6_input-input-1772410888497-d7tv6uegi_png_jpg.rf.efb04911d99ad83c1ce8d416c9966d16.jpg", "expected": "7811897358", "predicted": "7811897358", "correct": true, "input_tokens": 1138, "output_tokens": 380, "elapsed_seconds": 8.298872500075959, "metadata": {"question": "What is the NIP number printed near the top of the receipt? Format the answer as a continuous sequence of digits.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.3994}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 49, "image": "21a6d806-d16e-4452-a2e3-7fa520bd671d_input-input-1769360430457-50a88jpis_png_jpg.rf.aa61306d9e54120882fabd13146cb148.jpg", "expected": "DIN 912 M8x25", "predicted": "DIN 912 M8x25", "correct": true, "input_tokens": 1151, "output_tokens": 308, "elapsed_seconds": 6.940051291952841, "metadata": {"question": "What is the exact text printed on the white label attached to the front of the middle plastic bin? Format the answer exactly as it appears in the image, preserving capitalization and spacing.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.0621}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 50, "image": "db35c41c-a9ed-41bc-96cf-60186d715477_input-input-1774653477270-a4j6j7v6e_png_jpg.rf.57d75a03d42f0fc2b1029367596197db.jpg", "expected": "218", "predicted": "218", "correct": true, "input_tokens": 1188, "output_tokens": 270, "elapsed_seconds": 6.268825458944775, "metadata": {"question": "What number is printed on the side of the large white crane in the upper right background? Format the answer as a continuous sequence of digits (e.g., 123).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.3167}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 51, "image": "ac750e7d-de93-4813-828d-409d16bd176b_png_jpg.rf.8ce341df035e51f25255571745407ba8.jpg", "expected": "Rev #1", "predicted": "Rev #1", "correct": true, "input_tokens": 1161, "output_tokens": 158, "elapsed_seconds": 4.1856433330103755, "metadata": {"question": "What is the handwritten text located at the top right corner of the page, above the \"OVERVIEW\" heading? Output the text exactly as written (e.g., Text #1).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.2087}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 52, "image": "f5be5818-9476-456d-be90-9636ea5b6baa_input-input-1775884904023-qoueoyinv_png_jpg.rf.bbf654b12e9dfcd3cdde57ef87b4b7d6.jpg", "expected": "510-795-6305", "predicted": "510-795-6305", "correct": true, "input_tokens": 1165, "output_tokens": 255, "elapsed_seconds": 8.57134458294604, "metadata": {"question": "What phone number is printed on the 'Fremont Hub' line below the bullseye logo? Format the answer exactly as a phone number with hyphens (e.g., 123-456-7890).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.6102}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 53, "image": "f5be5818-9476-456d-be90-9636ea5b6baa_input-input-1775884904023-qoueoyinv_png_jpg.rf.bbf654b12e9dfcd3cdde57ef87b4b7d6.jpg", "expected": "39201 Fremont Blvd", "predicted": "39201 Fremont Blvd", "correct": true, "input_tokens": 1151, "output_tokens": 222, "elapsed_seconds": 4.768080499954522, "metadata": {"question": "What street address is printed on the line below 'Fremont Hub'? Output the address exactly as printed (e.g., 12345 Main St).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.816}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 54, "image": "f5be5818-9476-456d-be90-9636ea5b6baa_input-input-1775884904023-qoueoyinv_png_jpg.rf.bbf654b12e9dfcd3cdde57ef87b4b7d6.jpg", "expected": "01/16/2026", "predicted": "01/16/2026", "correct": true, "input_tokens": 1155, "output_tokens": 173, "elapsed_seconds": 4.558587249950506, "metadata": {"question": "What date is printed on the line directly above the barcode? Format the answer as MM/DD/YYYY (e.g., 04/05/2024).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.5968}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 55, "image": "f5be5818-9476-456d-be90-9636ea5b6baa_input-input-1775884904023-qoueoyinv_png_jpg.rf.bbf654b12e9dfcd3cdde57ef87b4b7d6.jpg", "expected": "$29.99", "predicted": "$29.99", "correct": true, "input_tokens": 1154, "output_tokens": 157, "elapsed_seconds": 3.9303928749868646, "metadata": {"question": "What is the price listed for the \"BRITA ON TAP\" item in the KITCHEN section? Format the answer exactly as a dollar amount (e.g., $XX.XX).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.9686}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 56, "image": "f5be5818-9476-456d-be90-9636ea5b6baa_input-input-1775884904023-qoueoyinv_png_jpg.rf.bbf654b12e9dfcd3cdde57ef87b4b7d6.jpg", "expected": "245090218", "predicted": "245090218", "correct": true, "input_tokens": 1161, "output_tokens": 207, "elapsed_seconds": 4.148005000082776, "metadata": {"question": "What is the nine-digit item number printed to the left of \"BIOTRUE\"? Format the answer as a continuous sequence of digits (e.g., 890149100).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.1892}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 57, "image": "e6e06b1b-da53-41ac-bfdf-9316443ff037_png_jpg.rf.c1d6533563d5395cd9da770734324ce4.jpg", "expected": "31/3/24", "predicted": "31/3/24", "correct": true, "input_tokens": 1186, "output_tokens": 155, "elapsed_seconds": 7.026392875006422, "metadata": {"question": "What is the handwritten date written at the top left corner of the left page? Format the answer exactly as written (e.g., DD/M/YY).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.0791}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 58, "image": "1a2826ae-6b4f-402d-871c-c99feec8673f_input-input-1773615096287-0i6s4vldj_png_jpg.rf.0bb97f973f3ca866a8ddeff16f4a9ab8.jpg", "expected": "4e63b-59184", "predicted": "4e63b-59184", "correct": true, "input_tokens": 1199, "output_tokens": 465, "elapsed_seconds": 6.30474408401642, "metadata": {"question": "What is the first recovery code in the right column inside the dark code box? Format the answer as lowercase letters, digits, and a hyphen exactly as printed (e.g., ab123-cd456).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.3283}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 59, "image": "3250b041-2ce2-4500-a99d-6f95f5536be5_input-input-1779670032347-3m1xayuws_png_jpg.rf.f45bb85a65adb055ae0b0ce37334eb6d.jpg", "expected": "225/55 ZR 17", "predicted": "225/55 ZR 17", "correct": true, "input_tokens": 1165, "output_tokens": 409, "elapsed_seconds": 8.098534791963175, "metadata": {"question": "What is the large tire-size marking beside the checkered-flag logo? Output the text exactly as printed, preserving spaces and symbols (e.g., 205/60 R 16).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.1698}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 60, "image": "04a7e555-066a-4662-be7d-1fab1d0a89bb_input-input-1773204169910-pu44i2o85_png_jpg.rf.f1ffe888c2d54063f42898d657dfa906.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1140, "output_tokens": 458, "elapsed_seconds": 9.765671332948841, "metadata": {"question": "Which whole number on the dial is the needle of the main gauge pointing closest to? Output the answer as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.8436}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 61, "image": "9524ed4d-178c-4051-9357-7c560b07815a_png_jpg.rf.59849ff479e380b534b74d0addc8a4e5.jpg", "expected": "GBK9951P", "predicted": "GBK9951P", "correct": true, "input_tokens": 1162, "output_tokens": 164, "elapsed_seconds": 6.662881915923208, "metadata": {"question": "What is the license plate number on the vehicle? Format the answer as a continuous sequence of uppercase letters and digits with no spaces (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.6956}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 62, "image": "4bd1305c-ba69-4b95-acbd-aeedcde5aeb5_input-input-1778614713022-g8ey7mf8j_png_jpg.rf.05583223686725fe6e962b4344e9fc7c.jpg", "expected": "2026-02-10 14:30:56", "predicted": "2026-02-10 14:30:56", "correct": true, "input_tokens": 1172, "output_tokens": 370, "elapsed_seconds": 6.595397750032134, "metadata": {"question": "What timestamp is overlaid near the top-right corner of the image? Output the timestamp exactly as printed.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.6397}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 63, "image": "2147a9a8-913a-4b7f-9b36-908eb54628d3_input-input-1771463083999-cj6damrec_png_jpg.rf.b1aa904aaf7b7942d731f9a9f25bc3e1.jpg", "expected": "06-28-2014", "predicted": "06-28-2014", "correct": true, "input_tokens": 1163, "output_tokens": 295, "elapsed_seconds": 5.842785916989669, "metadata": {"question": "What is the exact date printed in the bottom left section of the receipt, just below the item count? Format the answer exactly as it appears in the image.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.8916}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 64, "image": "2147a9a8-913a-4b7f-9b36-908eb54628d3_input-input-1771463083999-cj6damrec_png_jpg.rf.b1aa904aaf7b7942d731f9a9f25bc3e1.jpg", "expected": "3.79", "predicted": "3.79", "correct": true, "input_tokens": 1168, "output_tokens": 459, "elapsed_seconds": 5.826470625004731, "metadata": {"question": "What is the numerical price listed in the right column for the item specifically named \"EGGS 1 DOZ ORGANIC BROWN.\"? Output the price as a decimal number without currency symbols.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.8724}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 65, "image": "2147a9a8-913a-4b7f-9b36-908eb54628d3_input-input-1771463083999-cj6damrec_png_jpg.rf.b1aa904aaf7b7942d731f9a9f25bc3e1.jpg", "expected": "$40.00", "predicted": "$40.00", "correct": true, "input_tokens": 1170, "output_tokens": 265, "elapsed_seconds": 5.248505583032966, "metadata": {"question": "What is the exact cash amount tendered, printed directly to the right of the bold word \"CASH\" near the bottom of the receipt? Format the answer exactly as printed, including the dollar sign.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.2979}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 66, "image": "c1300d50-94fc-4081-b871-8338cef58e16_input-input-1778695950497-jbtexy630_png_jpg.rf.6fbb0636423109f2dfca5f2a22a6883a.jpg", "expected": "10:26", "predicted": "10:26", "correct": true, "input_tokens": 1190, "output_tokens": 184, "elapsed_seconds": 4.097316917032003, "metadata": {"question": "What is the time remaining in the period displayed in the center of the top scoreboard? Format the answer exactly as it appears on the screen (e.g., 12:34).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.1381}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 67, "image": "c1300d50-94fc-4081-b871-8338cef58e16_input-input-1778695950497-jbtexy630_png_jpg.rf.6fbb0636423109f2dfca5f2a22a6883a.jpg", "expected": "53", "predicted": "53", "correct": true, "input_tokens": 1186, "output_tokens": 222, "elapsed_seconds": 4.506357416976243, "metadata": {"question": "What is the total combined number of shots taken by both teams as displayed on the top scoreboard? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.5459}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 68, "image": "c1300d50-94fc-4081-b871-8338cef58e16_input-input-1778695950497-jbtexy630_png_jpg.rf.6fbb0636423109f2dfca5f2a22a6883a.jpg", "expected": "SEA 1 - TOR 1", "predicted": "SEA 1 - TOR 1", "correct": true, "input_tokens": 1189, "output_tokens": 90, "elapsed_seconds": 3.672235791105777, "metadata": {"question": "What is the current score shown on the top scoreboard? Format your answer as ABC N - ABC N using the two team abbreviations (e.g., SEA 1 - TOR 2).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.7128}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 69, "image": "eeee1640-5005-460c-a3f3-12dfff951fc5_png_jpg.rf.648ce83a788a4eb5a650235397675f44.jpg", "expected": "PC5949A", "predicted": "PC5949A", "correct": true, "input_tokens": 1162, "output_tokens": 288, "elapsed_seconds": 5.252068332978524, "metadata": {"question": "What is the license plate number on the vehicle? Format the answer as a continuous sequence of uppercase letters and digits with no spaces (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.2973}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 70, "image": "93441566-50c0-4bfb-9a31-437a2bc5e4f2_png_jpg.rf.078ab0583bc75e5a47971dc175d8a0a3.jpg", "expected": "OP01-013", "predicted": "OP01-013", "correct": true, "input_tokens": 1191, "output_tokens": 332, "elapsed_seconds": 5.247412082972005, "metadata": {"question": "What is the alphanumeric card code printed in the bottom right corner just before the block icon? Output the exact text as printed (e.g., \"OP02-001\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.2651}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 71, "image": "93441566-50c0-4bfb-9a31-437a2bc5e4f2_png_jpg.rf.078ab0583bc75e5a47971dc175d8a0a3.jpg", "expected": "3000", "predicted": "3000", "correct": true, "input_tokens": 1192, "output_tokens": 157, "elapsed_seconds": 9.091913999989629, "metadata": {"question": "What power value is printed in the white box at the top-right corner of the card? Format the answer as a continuous sequence of digits (e.g., 7000).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.1087}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 72, "image": "94f3adfa-0184-4872-8eb9-9f24e1a81a95_png_jpg.rf.2be986b2ba0f23bc57b7056a30d7423b.jpg", "expected": "1:26.0", "predicted": "1:26.0", "correct": true, "input_tokens": 1191, "output_tokens": 251, "elapsed_seconds": 4.539247332955711, "metadata": {"question": "What lap time is shown in large white digits inside the center HAMILTON panel? Format the answer exactly as a time with a colon and decimal (e.g., 1:23.4).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.5927}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 73, "image": "36e6af65-9cf0-4b16-b5b2-2dbf5d54ffae_input-input-1778190001786-w0937ikxt_png_jpg.rf.e59dce98ea670882a0a0bfb3e59730b2.jpg", "expected": "14", "predicted": "14", "correct": true, "input_tokens": 1173, "output_tokens": 1622, "elapsed_seconds": 16.50892420799937, "metadata": {"question": "What is the total number of empty ports on the white panel? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 16.5449}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 74, "image": "33299f4b-1857-4400-a31d-677ecd2c277a_input-input-1771415890481-7pfiombu0_png_jpg.rf.feabb125c41c69cf7d8c3aca315be50d.jpg", "expected": "12:07:56", "predicted": "12:07:56", "correct": true, "input_tokens": 1155, "output_tokens": 100, "elapsed_seconds": 4.773949624970555, "metadata": {"question": "What is the exact time displayed in the timestamp at the top left corner of the image? Format the answer exactly as HH:MM:SS.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.8377}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 75, "image": "621387a6-d868-4912-90f1-7e8abd9df0c0_png_jpg.rf.a8276e972135e7eecb7d2d74936e608e.jpg", "expected": "TISSOT", "predicted": "TISSOT", "correct": true, "input_tokens": 1175, "output_tokens": 182, "elapsed_seconds": 5.023761249962263, "metadata": {"question": "aahat brand name is printed upside-down in large letters in the lower half of the watch dial? Output the exact text as printed (e.g., ROLEX).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.1243}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 76, "image": "621387a6-d868-4912-90f1-7e8abd9df0c0_png_jpg.rf.a8276e972135e7eecb7d2d74936e608e.jpg", "expected": "15", "predicted": "15", "correct": true, "input_tokens": 1178, "output_tokens": 822, "elapsed_seconds": 11.850299165933393, "metadata": {"question": "What number is visible in the small date window near the upper-left edge of the blue dial? Format the answer as a continuous sequence of digits (e.g., 24).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.9456}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 77, "image": "0e9ddffb-4d1d-4c64-bfce-3e518dd1c8ae_input-input-1779391692177-bujnsi4tk_png_jpg.rf.36d93ac4b35d2ac11fcc66f37ebddb4b.jpg", "expected": "2 000111 111112", "predicted": "2 000111 111112", "correct": true, "input_tokens": 1144, "output_tokens": 585, "elapsed_seconds": 7.245032582897693, "metadata": {"question": "What is the sequence of digits printed directly alongside the barcode on the left side of the meter? Format the answer exactly as printed, including spaces.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.3691}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 78, "image": "9557f58e-ee73-4877-8bff-54aaa8bee062_input-input-1769507524173-1hzc9hfio_png_jpg.rf.a5376988f390a31b2c12912c07892281.jpg", "expected": "18", "predicted": "18", "correct": true, "input_tokens": 1174, "output_tokens": 1040, "elapsed_seconds": 13.239674750017002, "metadata": {"question": "What number is displayed clearly on the uppermost, flat face of the die? Output the answer as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 13.2985}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 79, "image": "f0c68933-64c5-49e6-8845-707afdc32a4e_input-input-1776058768062-tn8vkqrxk_png_jpg.rf.5d66532520dc17be0083a5fe2664c963.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1168, "output_tokens": 404, "elapsed_seconds": 7.074571333010681, "metadata": {"question": "What number is displayed in red on the digital indicator above the leftmost elevator doors? Output the exact digit (e.g., 5).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.1564}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 80, "image": "f0c68933-64c5-49e6-8845-707afdc32a4e_input-input-1776058768062-tn8vkqrxk_png_jpg.rf.5d66532520dc17be0083a5fe2664c963.jpg", "expected": "14", "predicted": "14", "correct": true, "input_tokens": 1176, "output_tokens": 468, "elapsed_seconds": 7.894694957998581, "metadata": {"question": "What floor is this scene on, based on any floor signage or indicators visible in the image? Format the answer as a continuous sequence of digits (e.g., 5).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.9708}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 81, "image": "4409ba1c-5b55-47e4-8fb3-ed245021d0bb_input-input-1776892569933-6scj88bzo_png_jpg.rf.c5d4d0e67097acc2dc0e5a026f4d5514.jpg", "expected": "NEXT", "predicted": "NEXT", "correct": true, "input_tokens": 1143, "output_tokens": 93, "elapsed_seconds": 3.388049124972895, "metadata": {"question": "What retailer name is printed in large letters near the left side of the receipt? Output the exact uppercase word (e.g., STORE).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.4613}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 82, "image": "4409ba1c-5b55-47e4-8fb3-ed245021d0bb_input-input-1776892569933-6scj88bzo_png_jpg.rf.c5d4d0e67097acc2dc0e5a026f4d5514.jpg", "expected": "0333 0055 512", "predicted": "0333 0055 512", "correct": true, "input_tokens": 1165, "output_tokens": 219, "elapsed_seconds": 4.638047375017777, "metadata": {"question": "What telephone number is printed on the line beginning with 'TEL' beneath 'London New Retail 0512'? Output the number exactly with spaces (e.g., 0123 4567 890).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.7091}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 83, "image": "4409ba1c-5b55-47e4-8fb3-ed245021d0bb_input-input-1776892569933-6scj88bzo_png_jpg.rf.c5d4d0e67097acc2dc0e5a026f4d5514.jpg", "expected": "14 Mar 2026", "predicted": "14 Mar 2026", "correct": true, "input_tokens": 1155, "output_tokens": 196, "elapsed_seconds": 4.637810167041607, "metadata": {"question": "What calendar date is printed on the timestamp line beneath the TEL line? Output the date exactly as printed without the weekday or time (e.g., 01 Jan 2026).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.7104}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 84, "image": "4409ba1c-5b55-47e4-8fb3-ed245021d0bb_input-input-1776892569933-6scj88bzo_png_jpg.rf.c5d4d0e67097acc2dc0e5a026f4d5514.jpg", "expected": "\u00a397.00", "predicted": "\u00a397.00", "correct": true, "input_tokens": 1156, "output_tokens": 265, "elapsed_seconds": 4.8250152909895405, "metadata": {"question": "What total refund amount is printed next to 'TOTAL REFUNDED TO ACCOUNT' in the middle of the receipt? Format the answer exactly as a pound amount (e.g., \u00a3XX.XX).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.9017}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 85, "image": "19f45907-d682-40cf-bb87-9133dc873871_input-input-1778506438615-gyarfruw4_png_jpg.rf.22e9fb7526b6b695a79118f2794a9ab3.jpg", "expected": "037156273", "predicted": "037156273", "correct": true, "input_tokens": 1191, "output_tokens": 466, "elapsed_seconds": 6.66508783295285, "metadata": {"question": "What is the serial number printed directly after \"S/N:\" at the top of the meter? Format the answer as a continuous sequence of digits.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.6869}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 86, "image": "1a8ee468-d168-4cec-bf83-881ad2853ed9_png_jpg.rf.02ee8e87c0ee9b2581f17ccbdb8fa702.jpg", "expected": "NYKU3687780", "predicted": "NYKU3687780", "correct": true, "input_tokens": 1159, "output_tokens": 855, "elapsed_seconds": 8.217780459090136, "metadata": {"question": "What is the vertical container identification code printed on the far left of the blue container? Format the answer as a continuous sequence of letters and numbers without spaces (e.g., ABCD1234567).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.2873}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 87, "image": "1a8ee468-d168-4cec-bf83-881ad2853ed9_png_jpg.rf.02ee8e87c0ee9b2581f17ccbdb8fa702.jpg", "expected": "22G1", "predicted": "22G1", "correct": true, "input_tokens": 1148, "output_tokens": 303, "elapsed_seconds": 5.204039833042771, "metadata": {"question": "Which four-character code is printed vertically directly above the yellow height limit sign on the blue container? Output the code exactly as printed (e.g., ABCD).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.278}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 88, "image": "ae20b44c-9be6-47a5-8002-2c417a2a2441_png_jpg.rf.d312136933cbfcb91483a2dfad0d53bd.jpg", "expected": "Sesame Seed", "predicted": "Sesame Seed", "correct": true, "input_tokens": 1165, "output_tokens": 221, "elapsed_seconds": 3.7383716671029106, "metadata": {"question": "What bold allergen name appears in the ingredients paragraph next to the word \"Paste\"? Output the text exactly as printed (e.g., Wheat).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.749}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 89, "image": "ae20b44c-9be6-47a5-8002-2c417a2a2441_png_jpg.rf.d312136933cbfcb91483a2dfad0d53bd.jpg", "expected": "Per 1/4 pot", "predicted": "Per 1/4 pot", "correct": true, "input_tokens": 1176, "output_tokens": 300, "elapsed_seconds": 4.49276866693981, "metadata": {"question": "Which nutrition table header is immediately to the right of \"Per 100g\" in the row beneath \"NUTRITION\"? Output the text exactly as printed (e.g., Per item).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.5033}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 90, "image": "0212eb3d-e4b1-4ef4-9204-e920654bf677_input-input-1778110710064-oqhw5zz8j_png_jpg.rf.014217c55a8b2da0df65b97e042ed090.jpg", "expected": "$44.99", "predicted": "$44.99", "correct": true, "input_tokens": 1158, "output_tokens": 353, "elapsed_seconds": 12.693932417081669, "metadata": {"question": "What is the price displayed on the green \"Price Cut\" tag directly beneath the Four Roses Single Barrel on the top shelf? Format the answer exactly as a dollar amount (e.g., $XX.XX).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 12.8113}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 91, "image": "bab22192-40dc-46bd-b314-ea08adf480e4_input-input-1768993566899-f1f6n85t5_png_jpg.rf.e266ed38188402a2fd66c6ee3416a4f0.jpg", "expected": "250ml", "predicted": "250ml", "correct": true, "input_tokens": 1147, "output_tokens": 234, "elapsed_seconds": 3.8144954999443144, "metadata": {"question": "What capacity text is printed beneath the Fisherbrand logo on the right beaker? Output exactly with no added space (e.g., 100ml).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.8957}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 92, "image": "bab22192-40dc-46bd-b314-ea08adf480e4_input-input-1768993566899-f1f6n85t5_png_jpg.rf.e266ed38188402a2fd66c6ee3416a4f0.jpg", "expected": "150ml", "predicted": "150 ml", "correct": true, "input_tokens": 1156, "output_tokens": 1543, "elapsed_seconds": 19.337825041962788, "metadata": {"question": "What is the liquid level in the leftmost beaker, as read from its printed measurement scale? Format the answer as a number followed by a space and ml (e.g., 100ml).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 19.4202}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 93, "image": "537aaf5f-ca39-4266-beec-32e4e9b2e3aa_png_jpg.rf.7a1f952bb873dc687f3b3f3d0dfe0301.jpg", "expected": "SLV3235L", "predicted": "SLV3235L", "correct": true, "input_tokens": 1167, "output_tokens": 385, "elapsed_seconds": 5.62587099999655, "metadata": {"question": "What is the license plate number on the vehicle? Format the answer as a continuous sequence of uppercase letters and digits with no spaces (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.6316}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 94, "image": "39fe721b-44c4-4a0c-aeac-2897520dfa68_input-input-1781394102861-00bvuicbi_png_jpg.rf.363242f15c7e98f02eea7cb38d065c13.jpg", "expected": "205/60 R 16", "predicted": "205/60 R 16", "correct": true, "input_tokens": 1166, "output_tokens": 791, "elapsed_seconds": 10.065968832932413, "metadata": {"question": "What is the large alphanumeric tire size sequence printed on the right side of the sidewall? Output the exact text including spaces and slashes.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.1449}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 95, "image": "0e4e059a-dffb-4d94-8827-06ec9a325906_input-input-1780878352625-ut880vj94_png_jpg.rf.bfa6b203688cdd30b56b2d4a213fe38e.jpg", "expected": "Brixx", "predicted": "Brixx", "correct": true, "input_tokens": 1159, "output_tokens": 124, "elapsed_seconds": 2.9040827919961885, "metadata": {"question": "What restaurant name is printed at the top center of the receipt? Output the text exactly as printed (e.g., Pizzeria Uno).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.92}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 96, "image": "0e4e059a-dffb-4d94-8827-06ec9a325906_input-input-1780878352625-ut880vj94_png_jpg.rf.bfa6b203688cdd30b56b2d4a213fe38e.jpg", "expected": "501 Meadowmont Village Circle", "predicted": "501 Meadowmont Village Circle", "correct": true, "input_tokens": 1164, "output_tokens": 352, "elapsed_seconds": 6.07993795897346, "metadata": {"question": "What street address is printed directly beneath the \"Brixx\" heading? Output the address exactly as printed (e.g., 123 Main Street).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.0985}} diff --git a/results/extraction_gemini-4-argon-eap_low_20261012_223722.jsonl b/results/extraction_gemini-4-argon-eap_low_20261012_223722.jsonl deleted file mode 100644 index 08207e1..0000000 --- a/results/extraction_gemini-4-argon-eap_low_20261012_223722.jsonl +++ /dev/null @@ -1,97 +0,0 @@ -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 0, "image": "9a8c8b2e-fb85-4a29-8a8e-c4d8e90a263c_input-input-1771415218745-lelho5crz_png_jpg.rf.c532e07f580fa8f33418c4e51767f52f.jpg", "expected": "10:27", "predicted": "10:27", "correct": true, "input_tokens": 1184, "output_tokens": 9, "elapsed_seconds": 5.0314767910167575, "metadata": {"question": "What is the time displayed in the top left corner of the dashboard? Format the answer exactly as it appears (e.g., 12:34).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.1244}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 1, "image": "9a8c8b2e-fb85-4a29-8a8e-c4d8e90a263c_input-input-1771415218745-lelho5crz_png_jpg.rf.c532e07f580fa8f33418c4e51767f52f.jpg", "expected": "7507 km", "predicted": "7507 km", "correct": true, "input_tokens": 1191, "output_tokens": 9, "elapsed_seconds": 4.932788000092842, "metadata": {"question": "What is the total odometer reading shown directly to the right of the 'P' gear indicator? Format the answer exactly as printed including the unit (e.g., 1234 km).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.026}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 2, "image": "9a8c8b2e-fb85-4a29-8a8e-c4d8e90a263c_input-input-1771415218745-lelho5crz_png_jpg.rf.c532e07f580fa8f33418c4e51767f52f.jpg", "expected": "20.5\u00b0C", "predicted": "20.5\u00b0C", "correct": true, "input_tokens": 1191, "output_tokens": 10, "elapsed_seconds": 3.694923499948345, "metadata": {"question": "What is the temperature reading displayed in the top right corner of the dashboard? Format the answer exactly as printed including the degree symbol and unit (e.g., 22.0\u00b0C).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.7834}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 3, "image": "66bbef87-2e52-4a5a-8583-f52fbfa7465d_input-input-1778826066883-6t9qhnglh_png_jpg.rf.90a49214642ae3efbd28a7ef58d4a0d0.jpg", "expected": "$254", "predicted": "$254", "correct": true, "input_tokens": 1173, "output_tokens": 8, "elapsed_seconds": 6.331501791952178, "metadata": {"question": "What is the total price for the Icon Room, explicitly stated to include taxes & fees? Output the answer exactly as printed, including the dollar sign.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.3713}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 4, "image": "66bbef87-2e52-4a5a-8583-f52fbfa7465d_input-input-1778826066883-6t9qhnglh_png_jpg.rf.90a49214642ae3efbd28a7ef58d4a0d0.jpg", "expected": "1500", "predicted": "1500", "correct": true, "input_tokens": 1183, "output_tokens": 8, "elapsed_seconds": 3.9055122499121353, "metadata": {"question": "According to the \"Surroundings\" list on the right side of the page, what is the exact distance in feet to the Richmond Night Market? Output the answer as a single integer without units.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.9458}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 5, "image": "66bbef87-2e52-4a5a-8583-f52fbfa7465d_input-input-1778826066883-6t9qhnglh_png_jpg.rf.90a49214642ae3efbd28a7ef58d4a0d0.jpg", "expected": "9.1", "predicted": "9.1", "correct": true, "input_tokens": 1176, "output_tokens": 7, "elapsed_seconds": 4.6303559159860015, "metadata": {"question": "What is the numerical customer review rating out of 10 displayed in the blue circle on the right side of the page? Output the answer as a decimal number.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.6738}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 6, "image": "c9b00dcb-e093-43d9-baf8-f1971ff328af_input-input-1769103177177-3x5hfzwbp_png_jpg.rf.95edcd11e5d8724ab285b69ba52f6deb.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1143, "output_tokens": 5, "elapsed_seconds": 3.1854806669289246, "metadata": {"question": "What handwritten number appears near the upper left corner of the card? Format the answer as a single digit (e.g., 7).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.2385}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 7, "image": "c9b00dcb-e093-43d9-baf8-f1971ff328af_input-input-1769103177177-3x5hfzwbp_png_jpg.rf.95edcd11e5d8724ab285b69ba52f6deb.jpg", "expected": "G230", "predicted": "G230", "correct": true, "input_tokens": 1144, "output_tokens": 8, "elapsed_seconds": 2.8540250420337543, "metadata": {"question": "What is the alphanumeric code printed on the tan half of the capsule? Output the exact text (e.g., \"A123\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9081}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 8, "image": "f0d4c0bf-3a21-41a5-b0c2-c33b94feadb4_input-input-1771859752511-bk56l0pe1_png_jpg.rf.6c4ddb547fa7d14bea520ceb83d179fe.jpg", "expected": "63.490", "predicted": "63.490", "correct": true, "input_tokens": 1147, "output_tokens": 10, "elapsed_seconds": 4.169397708028555, "metadata": {"question": "What is the numerical value for the NET weight in LBS printed on the right door of the shipping container? Format the answer as a number including the decimal point.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.2711}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 9, "image": "f0d4c0bf-3a21-41a5-b0c2-c33b94feadb4_input-input-1771859752511-bk56l0pe1_png_jpg.rf.6c4ddb547fa7d14bea520ceb83d179fe.jpg", "expected": "TCKU 612608 6 45G1", "predicted": "TCKU 612608 6 45G1", "correct": true, "input_tokens": 1153, "output_tokens": 20, "elapsed_seconds": 4.121045124949887, "metadata": {"question": "What is the complete two-line identification text printed in white on the upper right side of the container doors? Format the answer with a single space separating the top sequence from the bottom sequence.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.224}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 10, "image": "f0d4c0bf-3a21-41a5-b0c2-c33b94feadb4_input-input-1771859752511-bk56l0pe1_png_jpg.rf.6c4ddb547fa7d14bea520ceb83d179fe.jpg", "expected": "2516510", "predicted": "2516590", "correct": false, "input_tokens": 1135, "output_tokens": 11, "elapsed_seconds": 5.044364416971803, "metadata": {"question": "What is the license plate number on the trailer? Format the answer as a continuous sequence of digits.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 5.1441}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 11, "image": "c9dbd271-e8bd-4a4c-9d90-dcc53a4910f6_input-input-1776792452299-9guc9kcwh_png_jpg.rf.499be0493ce07a3ce99ad741b1087b71.jpg", "expected": "0.40", "predicted": "0.40", "correct": true, "input_tokens": 1177, "output_tokens": 8, "elapsed_seconds": 4.436292959027924, "metadata": {"question": "What time is shown on the left display of the red chess clock behind the board? Format the answer as a time with a colon (e.g., 1.23).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.4882}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 12, "image": "91b13b86-2929-4232-a4d1-a9a98420477e_png_jpg.rf.2d391bd85b3ed91712271a024089677e.jpg", "expected": "GZ808S", "predicted": "GZ808S", "correct": true, "input_tokens": 1172, "output_tokens": 9, "elapsed_seconds": 2.568288292037323, "metadata": {"question": "What is the license plate number on the vehicle? Format the answer as a continuous sequence of uppercase letters and digits with no spaces (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.5746}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 13, "image": "d2029347-fd3c-40be-8d89-b0e1abf64e9b_input-input-1781204084098-88xr6eavh_png_jpg.rf.21d8156058ed4f8ed2cffba4507eedee.jpg", "expected": "9CGN302", "predicted": "9CGN302", "correct": true, "input_tokens": 1152, "output_tokens": 10, "elapsed_seconds": 4.859067791956477, "metadata": {"question": "What is the license plate number on the rear of the black SUV? Format the answer as a continuous sequence of uppercase letters and digits (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.9283}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 14, "image": "d2029347-fd3c-40be-8d89-b0e1abf64e9b_input-input-1781204084098-88xr6eavh_png_jpg.rf.21d8156058ed4f8ed2cffba4507eedee.jpg", "expected": "7WQV954", "predicted": "7WQV954", "correct": true, "input_tokens": 1156, "output_tokens": 10, "elapsed_seconds": 4.570780667010695, "metadata": {"question": "What is the license plate number on the rear of the grey car in the upper left? Format the answer as a continuous sequence of uppercase letters and digits (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.6387}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 15, "image": "d2029347-fd3c-40be-8d89-b0e1abf64e9b_input-input-1781204084098-88xr6eavh_png_jpg.rf.21d8156058ed4f8ed2cffba4507eedee.jpg", "expected": "YUKON", "predicted": "YUKON", "correct": true, "input_tokens": 1149, "output_tokens": 7, "elapsed_seconds": 2.880733959027566, "metadata": {"question": "What text is written in silver letters on the lower left of the black SUV's tailgate? Output the exact text as printed (e.g., EXPLORER).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9478}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 16, "image": "020c3db8-dcc2-40e0-bf26-c874edb1612b_png_jpg.rf.a299e53bc85c66b204fae58e26a1e19b.jpg", "expected": "NCY1", "predicted": "NCY1", "correct": true, "input_tokens": 1178, "output_tokens": 7, "elapsed_seconds": 4.110153874964453, "metadata": {"question": "What is the item code listed directly above 'CDMF' in the 'Item Code' column? Output the code exactly as printed in uppercase (e.g., ABCD).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.1643}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 17, "image": "41a7e177-1031-4d8e-bdee-eecbb1f0d240_input-input-1774997209388-d3qjo2hm2_png_jpg.rf.9a0e0f41aecab5811b006d59b42506db.jpg", "expected": "005708", "predicted": "005708", "correct": true, "input_tokens": 1169, "output_tokens": 10, "elapsed_seconds": 1.9977017090423033, "metadata": {"question": "What six-digit meter reading is shown in the black-framed LCD display? Format the answer as a continuous sequence of digits.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.0041}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 18, "image": "26584325-f95e-41e4-9f4b-99afc5ff078d_png_jpg.rf.30e30b60362db55140cd5874abc92899.jpg", "expected": "SIMONE KOVENSKY", "predicted": "SIMONE KOVENSKY", "correct": true, "input_tokens": 1152, "output_tokens": 10, "elapsed_seconds": 2.7056772499345243, "metadata": {"question": "What is the name written in the 'CLIENT:' field at the top right of the form? Output the name exactly as written in all capital letters (e.g., JOHN DOE).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7861}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 19, "image": "c56ead6c-0697-4216-a27e-fbd28c19aaed_input-input-1781393738001-e3qhlmchi_png_jpg.rf.904ea3d34bf309c1a08a8147dd181e22.jpg", "expected": "225/65 R 17", "predicted": "225/65 R 17", "correct": true, "input_tokens": 1203, "output_tokens": 14, "elapsed_seconds": 4.249905083095655, "metadata": {"question": "What is the tire size printed directly to the right of the top-left \"MICHELIN\" brand name? Output the exact text as printed (e.g., 205/55 R 16).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.2962}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 20, "image": "c56ead6c-0697-4216-a27e-fbd28c19aaed_input-input-1781393738001-e3qhlmchi_png_jpg.rf.904ea3d34bf309c1a08a8147dd181e22.jpg", "expected": "POLAND", "predicted": "POLAND", "correct": true, "input_tokens": 1191, "output_tokens": 6, "elapsed_seconds": 11.92013537499588, "metadata": {"question": "What country is printed inside the oval directly below the words \"MADE IN\" on the bottom tire? Output the exact text as printed (e.g., GERMANY).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.966}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 21, "image": "dce06136-2d24-422b-a3b6-e100c9a4bad1_input-input-1780992231793-0zf74ymfd_png_jpg.rf.d839d1c678628694e2bff03a7de7f25a.jpg", "expected": "1800 22 4020", "predicted": "1800 22 4020", "correct": true, "input_tokens": 1164, "output_tokens": 16, "elapsed_seconds": 5.772286958061159, "metadata": {"question": "What phone number is printed after the line \"OR CALL US AT\"? Output the number exactly as printed, preserving spaces.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.821}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 22, "image": "dce06136-2d24-422b-a3b6-e100c9a4bad1_input-input-1780992231793-0zf74ymfd_png_jpg.rf.d839d1c678628694e2bff03a7de7f25a.jpg", "expected": "8901491361026", "predicted": "8901491361026", "correct": true, "input_tokens": 1157, "output_tokens": 17, "elapsed_seconds": 4.978133041993715, "metadata": {"question": "What number is printed directly beneath the barcode on the package? Respond with digits only.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.0263}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 23, "image": "dce06136-2d24-422b-a3b6-e100c9a4bad1_input-input-1780992231793-0zf74ymfd_png_jpg.rf.d839d1c678628694e2bff03a7de7f25a.jpg", "expected": "558 kcal", "predicted": "558 kcal", "correct": true, "input_tokens": 1168, "output_tokens": 8, "elapsed_seconds": 2.9532192500773817, "metadata": {"question": "In the nutritional information table, what is the Energy value per 100g? Respond with the number and unit exactly as shown.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.0006}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 24, "image": "145655c9-ac14-4dbb-8925-e2b81fb119e3_input-input-1778072520416-hq28k5crq_png_jpg.rf.4778c32b3806b491466ac777daff1840.jpg", "expected": "0176213", "predicted": "0176213", "correct": true, "input_tokens": 1150, "output_tokens": 11, "elapsed_seconds": 5.123455042019486, "metadata": {"question": "What is the large, bold, seven digit number printed at the bottom right corner of the label attached to the metal shelf? Format the answer as a continuous sequence of digits.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.1907}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 25, "image": "145655c9-ac14-4dbb-8925-e2b81fb119e3_input-input-1778072520416-hq28k5crq_png_jpg.rf.4778c32b3806b491466ac777daff1840.jpg", "expected": "36", "predicted": "36", "correct": true, "input_tokens": 1142, "output_tokens": 6, "elapsed_seconds": 4.229758625035174, "metadata": {"question": "What is the total number of white PVC profile cross-sections visible in the entire stack? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.2962}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 26, "image": "47ad34a1-d784-48fd-bf0b-9814791703e3_input-input-1779422613724-1i91z3id8_png_jpg.rf.b05b9398755d107d94666106dd5d8aa8.jpg", "expected": "6315", "predicted": "6315", "correct": true, "input_tokens": 1169, "output_tokens": 8, "elapsed_seconds": 5.14907004206907, "metadata": {"question": "What fleet number is printed on the rear window of the yellow bus at the right edge? Format the answer as a continuous sequence of digits (e.g., 1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.226}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 27, "image": "47ad34a1-d784-48fd-bf0b-9814791703e3_input-input-1779422613724-1i91z3id8_png_jpg.rf.b05b9398755d107d94666106dd5d8aa8.jpg", "expected": "ZL 7237", "predicted": "ZL 7237", "correct": true, "input_tokens": 1168, "output_tokens": 10, "elapsed_seconds": 5.244176082895137, "metadata": {"question": "What is the license plate number of the black SUV in the foreground right lane? Format the answer exactly as printed, including spaces (e.g., AB 1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.3192}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 28, "image": "cc68304c-144a-4975-a93a-d8efa85db6ed_input-input-1769095484858-rohdg9mmc_png_jpg.rf.378e0d7628c9899c5d343c8f700ca50b.jpg", "expected": "34", "predicted": "34", "correct": true, "input_tokens": 1170, "output_tokens": 6, "elapsed_seconds": 2.293614499969408, "metadata": {"question": "What is the large number displayed on the digital screen of the device? Output the exact number.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.3506}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 29, "image": "d489f405-013e-4e8b-968a-1d9db2060050_png_jpg.rf.b6ede8915c0c026e32f0e8d070b1d247.jpg", "expected": "18", "predicted": "18", "correct": true, "input_tokens": 1170, "output_tokens": 6, "elapsed_seconds": 2.6759090829873458, "metadata": {"question": "What is the total quantity (QTY) of all items described as \"Air Filter\" in the DESCRIPTION column? Output the final sum as a single integer (e.g., 15).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.6931}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 30, "image": "d0b99ce8-8a3b-4d1d-98d4-b34137b19f08_input-input-1768805031339-rs4dctz0p_png_jpg.rf.0b9ba7244c8f71c6879248740d0f2a0d.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1176, "output_tokens": 5, "elapsed_seconds": 3.8858163750264794, "metadata": {"question": "Counting rows from the top starting at 1, in which row is the green 'American Bankers Association' stamp located? Output the row number as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.987}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 31, "image": "06072daf-424d-471e-a5cb-f8821cf88eb6_input-input-1772637869821-qu9ua1cb8_png_jpg.rf.dbc22b4330271e95f97fe41a59e1179c.jpg", "expected": "0.1", "predicted": "0.1", "correct": true, "input_tokens": 1165, "output_tokens": 7, "elapsed_seconds": 2.5974505830090493, "metadata": {"question": "What is the exact numerical value listed for Trans Fat per 100g? Format the answer as a decimal number.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.6432}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 32, "image": "06072daf-424d-471e-a5cb-f8821cf88eb6_input-input-1772637869821-qu9ua1cb8_png_jpg.rf.dbc22b4330271e95f97fe41a59e1179c.jpg", "expected": "CONSUMER.FEEDBACK@PEPSICO.COM", "predicted": "CONSUMER.FEEDBACK@PEPSICO.COM", "correct": true, "input_tokens": 1160, "output_tokens": 14, "elapsed_seconds": 2.873315916978754, "metadata": {"question": "What is the email address provided for consumer feedback or queries? Output the email address exactly as printed.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.921}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 33, "image": "06072daf-424d-471e-a5cb-f8821cf88eb6_input-input-1772637869821-qu9ua1cb8_png_jpg.rf.dbc22b4330271e95f97fe41a59e1179c.jpg", "expected": "8901491001137", "predicted": "8901491001137", "correct": true, "input_tokens": 1165, "output_tokens": 17, "elapsed_seconds": 3.8252775830915198, "metadata": {"question": "What is the 13-digit number printed directly below the barcode? Format the answer as a continuous sequence of digits.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.8718}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 34, "image": "5382e8f7-15f4-42a9-a54d-379a13cef073_input-input-1778848976488-hc2g5oq4u_png_jpg.rf.00a60ea7c1d1fe980ffa61040dbb248a.jpg", "expected": "13877350", "predicted": "13877350", "correct": true, "input_tokens": 1146, "output_tokens": 12, "elapsed_seconds": 3.8077354159904644, "metadata": {"question": "What is the exact eight-digit number printed directly beneath the barcode in the top center \"Process Order\" section? Output the answer as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.9199}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 35, "image": "5382e8f7-15f4-42a9-a54d-379a13cef073_input-input-1778848976488-hc2g5oq4u_png_jpg.rf.00a60ea7c1d1fe980ffa61040dbb248a.jpg", "expected": "23:59:59", "predicted": "23:59:59", "correct": true, "input_tokens": 1146, "output_tokens": 12, "elapsed_seconds": 3.1744896669406444, "metadata": {"question": "What is the precise time listed under \"Scheduled Finish\" in the Production Scheduler section? Format the answer exactly as it appears (HH:MM:SS)", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.286}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 36, "image": "df23429e-5fcf-4520-b958-bc8eda842562_input-input-1779516894552-yx6kf3wwi_png_jpg.rf.162bd99f2b2cc0a242610ac878dada35.jpg", "expected": "000865491059", "predicted": "000865491059", "correct": true, "input_tokens": 1175, "output_tokens": 16, "elapsed_seconds": 3.0641719589475542, "metadata": {"question": "What TIN is printed beside the QR code near the top right of the receipt? Format the answer as a continuous sequence of digits (e.g., 123456789012).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1576}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 37, "image": "df23429e-5fcf-4520-b958-bc8eda842562_input-input-1779516894552-yx6kf3wwi_png_jpg.rf.162bd99f2b2cc0a242610ac878dada35.jpg", "expected": "GAX2354", "predicted": "GAX2354", "correct": true, "input_tokens": 1164, "output_tokens": 10, "elapsed_seconds": 3.374091292032972, "metadata": {"question": "What plate number is printed in large type under the 'PAYMENT DETAILS' header? Output the text exactly as printed (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.466}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 38, "image": "df23429e-5fcf-4520-b958-bc8eda842562_input-input-1779516894552-yx6kf3wwi_png_jpg.rf.162bd99f2b2cc0a242610ac878dada35.jpg", "expected": "0760-000000202792", "predicted": "0760-000000202792", "correct": true, "input_tokens": 1186, "output_tokens": 21, "elapsed_seconds": 2.6662929160520434, "metadata": {"question": "What is the long number printed immediately to the right of the dark \"OFFICIAL RECEIPT\" box? Format the answer as a continuous sequence of digits and hyphens (e.g., 1234-000000123456).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.762}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 39, "image": "1710a83d-1506-464e-83bf-f015141f1c37_input-input-1779171626146-78hoa3cju_png_jpg.rf.a4a6a3c3c8761b330dfe9cd2bc8a847a.jpg", "expected": "Thursday 22", "predicted": "Thursday 22", "correct": true, "input_tokens": 1183, "output_tokens": 8, "elapsed_seconds": 2.3171608339762315, "metadata": {"question": "What is the specific day of the week and date highlighted with a solid blue background on the right side of the calendar grid? Format the answer exactly as \"[Day of week] [Date number]\".", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.3341}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 40, "image": "fc6e5e8d-4b33-4a20-a63a-96c0205ae8f6_png_jpg.rf.25fdc583a5ef5268cc575d85fb3c0924.jpg", "expected": "189300", "predicted": "189300", "correct": true, "input_tokens": 1185, "output_tokens": 10, "elapsed_seconds": 2.9818186670308933, "metadata": {"question": "What is the handwritten number written directly after \"R#\" at the bottom right corner of the page? Format the answer as a continuous sequence of digits (e.g., 123456).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.0123}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 41, "image": "76b25762-3b57-4158-9fab-945416165ada_png_jpg.rf.f417d6fc1ac47927bd5024452bf580e7.jpg", "expected": "#1123656-1", "predicted": "#1123656-1", "correct": true, "input_tokens": 1167, "output_tokens": 14, "elapsed_seconds": 3.6994142499752343, "metadata": {"question": "What is the check number printed directly below the date 'TUE JANUARY 20, 2026'? Format the answer exactly as printed, including the hash symbol and hyphen (e.g., #123456-7).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.8249}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 42, "image": "c3f661e1-1ce5-4c6b-ba39-f052aa469ae2_input-input-1780892587755-2dtxi0at3_png_jpg.rf.2e59559f9c0a22eb34f879380e77c649.jpg", "expected": "Andrew Ainsley", "predicted": "Andrew Ainsley", "correct": true, "input_tokens": 1159, "output_tokens": 7, "elapsed_seconds": 2.9151872920338064, "metadata": {"question": "What full name is shown beneath the 'Full Name' label? Output the text exactly as printed, preserving capitalization (e.g., Jane Doe).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9319}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 43, "image": "c3f661e1-1ce5-4c6b-ba39-f052aa469ae2_input-input-1780892587755-2dtxi0at3_png_jpg.rf.2e59559f9c0a22eb34f879380e77c649.jpg", "expected": "+1-300-555-0399", "predicted": "+1-300-555-0399", "correct": true, "input_tokens": 1170, "output_tokens": 19, "elapsed_seconds": 2.2234007079387084, "metadata": {"question": "What phone number is shown beneath the 'Phone Number' label? Output the phone number exactly as printed (e.g., +1-222-333-4444).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.2433}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 44, "image": "acc53733-7609-4a88-9125-d9671368e31c_png_jpg.rf.1ebb25f78d83e52eabcdf2422409904b.jpg", "expected": "1:31.396", "predicted": "1:31.396", "correct": true, "input_tokens": 1196, "output_tokens": 12, "elapsed_seconds": 3.075089666992426, "metadata": {"question": "What is the lap time displayed next to the driver \"NOR\" at the top of the timing tower? Format the answer exactly as it appears on screen (e.g., 1:23.456).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1167}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 45, "image": "fc635714-9747-4562-934a-76a998f30986_input-input-1769516774340-ndngcy0b8_png_jpg.rf.69006b774b46928d96d99b793ff005ee.jpg", "expected": "09/2023", "predicted": "09/2023", "correct": true, "input_tokens": 1192, "output_tokens": 11, "elapsed_seconds": 2.957213249988854, "metadata": {"question": "What is the date printed vertically along the left edge of the central blister pack? Format the answer exactly as it appears, including any punctuation (e.g., 12/2025).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.0058}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 46, "image": "25e6ed9c-2d37-4533-8021-977770aa97d1_input-input-1780691294811-oql9y0w9f_png_jpg.rf.c03fb5cccd8a068f05019d0a4d371fc7.jpg", "expected": "026", "predicted": "026", "correct": true, "input_tokens": 1179, "output_tokens": 7, "elapsed_seconds": 2.6692697079852223, "metadata": {"question": "What is the three-digit identification number printed on the white roof of the truck cab? Format the answer as a sequence of three digits.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7191}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 47, "image": "1ad1c779-b18f-4aaa-9cf0-6155cb19879b_input-input-1769444672197-ug2bdacps_png_jpg.rf.995e162e3e39f5709ab077e0fbe2798b.jpg", "expected": "03/2027", "predicted": "I cannot read the expiration date from this image as the embossed text at the bottom right of the left blister pack is too blurry and low-resolution to decipher accurately. Please provide a clearer, higher-resolution photo of the bottom edge of the packaging.", "correct": false, "input_tokens": 1164, "output_tokens": 54, "elapsed_seconds": 3.7212387080071494, "metadata": {"question": "What is the expiration date stamped at the bottom right corner of the left blister pack? Format the answer exactly as printed.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 3.7397}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 48, "image": "295f6019-a4f4-4a00-bb7b-6edfc37f54b6_input-input-1772410888497-d7tv6uegi_png_jpg.rf.efb04911d99ad83c1ce8d416c9966d16.jpg", "expected": "7811897358", "predicted": "7811897358", "correct": true, "input_tokens": 1138, "output_tokens": 14, "elapsed_seconds": 3.317677624989301, "metadata": {"question": "What is the NIP number printed near the top of the receipt? Format the answer as a continuous sequence of digits.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.4189}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 49, "image": "21a6d806-d16e-4452-a2e3-7fa520bd671d_input-input-1769360430457-50a88jpis_png_jpg.rf.aa61306d9e54120882fabd13146cb148.jpg", "expected": "DIN 912 M8x25", "predicted": "DIN 912 M8x25", "correct": true, "input_tokens": 1151, "output_tokens": 14, "elapsed_seconds": 9.663752499967813, "metadata": {"question": "What is the exact text printed on the white label attached to the front of the middle plastic bin? Format the answer exactly as it appears in the image, preserving capitalization and spacing.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.7835}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 50, "image": "db35c41c-a9ed-41bc-96cf-60186d715477_input-input-1774653477270-a4j6j7v6e_png_jpg.rf.57d75a03d42f0fc2b1029367596197db.jpg", "expected": "218", "predicted": "218", "correct": true, "input_tokens": 1188, "output_tokens": 7, "elapsed_seconds": 3.0014387079281732, "metadata": {"question": "What number is printed on the side of the large white crane in the upper right background? Format the answer as a continuous sequence of digits (e.g., 123).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.0507}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 51, "image": "ac750e7d-de93-4813-828d-409d16bd176b_png_jpg.rf.8ce341df035e51f25255571745407ba8.jpg", "expected": "Rev #1", "predicted": "Rev #1", "correct": true, "input_tokens": 1161, "output_tokens": 7, "elapsed_seconds": 3.310204332927242, "metadata": {"question": "What is the handwritten text located at the top right corner of the page, above the \"OVERVIEW\" heading? Output the text exactly as written (e.g., Text #1).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.3325}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 52, "image": "f5be5818-9476-456d-be90-9636ea5b6baa_input-input-1775884904023-qoueoyinv_png_jpg.rf.bbf654b12e9dfcd3cdde57ef87b4b7d6.jpg", "expected": "510-795-6305", "predicted": "510-795-6305", "correct": true, "input_tokens": 1165, "output_tokens": 16, "elapsed_seconds": 2.6994104590266943, "metadata": {"question": "What phone number is printed on the 'Fremont Hub' line below the bullseye logo? Format the answer exactly as a phone number with hyphens (e.g., 123-456-7890).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7382}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 53, "image": "f5be5818-9476-456d-be90-9636ea5b6baa_input-input-1775884904023-qoueoyinv_png_jpg.rf.bbf654b12e9dfcd3cdde57ef87b4b7d6.jpg", "expected": "39201 Fremont Blvd", "predicted": "39201 Fremont Blvd", "correct": true, "input_tokens": 1151, "output_tokens": 11, "elapsed_seconds": 2.2280196249485016, "metadata": {"question": "What street address is printed on the line below 'Fremont Hub'? Output the address exactly as printed (e.g., 12345 Main St).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.2657}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 54, "image": "f5be5818-9476-456d-be90-9636ea5b6baa_input-input-1775884904023-qoueoyinv_png_jpg.rf.bbf654b12e9dfcd3cdde57ef87b4b7d6.jpg", "expected": "01/16/2026", "predicted": "01/16/2026", "correct": true, "input_tokens": 1155, "output_tokens": 14, "elapsed_seconds": 2.836375124985352, "metadata": {"question": "What date is printed on the line directly above the barcode? Format the answer as MM/DD/YYYY (e.g., 04/05/2024).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8755}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 55, "image": "f5be5818-9476-456d-be90-9636ea5b6baa_input-input-1775884904023-qoueoyinv_png_jpg.rf.bbf654b12e9dfcd3cdde57ef87b4b7d6.jpg", "expected": "$29.99", "predicted": "$29.99", "correct": true, "input_tokens": 1154, "output_tokens": 10, "elapsed_seconds": 3.0525045410031453, "metadata": {"question": "What is the price listed for the \"BRITA ON TAP\" item in the KITCHEN section? Format the answer exactly as a dollar amount (e.g., $XX.XX).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.0907}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 56, "image": "f5be5818-9476-456d-be90-9636ea5b6baa_input-input-1775884904023-qoueoyinv_png_jpg.rf.bbf654b12e9dfcd3cdde57ef87b4b7d6.jpg", "expected": "245090218", "predicted": "245090218", "correct": true, "input_tokens": 1161, "output_tokens": 13, "elapsed_seconds": 2.5502695000031963, "metadata": {"question": "What is the nine-digit item number printed to the left of \"BIOTRUE\"? Format the answer as a continuous sequence of digits (e.g., 890149100).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.5899}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 57, "image": "e6e06b1b-da53-41ac-bfdf-9316443ff037_png_jpg.rf.c1d6533563d5395cd9da770734324ce4.jpg", "expected": "31/3/24", "predicted": "31/3/24", "correct": true, "input_tokens": 1186, "output_tokens": 11, "elapsed_seconds": 2.6777760420227423, "metadata": {"question": "What is the handwritten date written at the top left corner of the left page? Format the answer exactly as written (e.g., DD/M/YY).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7292}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 58, "image": "1a2826ae-6b4f-402d-871c-c99feec8673f_input-input-1773615096287-0i6s4vldj_png_jpg.rf.0bb97f973f3ca866a8ddeff16f4a9ab8.jpg", "expected": "4e63b-59184", "predicted": "4e63b-59184", "correct": true, "input_tokens": 1199, "output_tokens": 15, "elapsed_seconds": 2.567106124944985, "metadata": {"question": "What is the first recovery code in the right column inside the dark code box? Format the answer as lowercase letters, digits, and a hyphen exactly as printed (e.g., ab123-cd456).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.5882}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 59, "image": "3250b041-2ce2-4500-a99d-6f95f5536be5_input-input-1779670032347-3m1xayuws_png_jpg.rf.f45bb85a65adb055ae0b0ce37334eb6d.jpg", "expected": "225/55 ZR 17", "predicted": "225/55 ZR 17", "correct": true, "input_tokens": 1165, "output_tokens": 14, "elapsed_seconds": 2.594696916989051, "metadata": {"question": "What is the large tire-size marking beside the checkered-flag logo? Output the text exactly as printed, preserving spaces and symbols (e.g., 205/60 R 16).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.6679}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 60, "image": "04a7e555-066a-4662-be7d-1fab1d0a89bb_input-input-1773204169910-pu44i2o85_png_jpg.rf.f1ffe888c2d54063f42898d657dfa906.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1140, "output_tokens": 5, "elapsed_seconds": 3.1656104589346796, "metadata": {"question": "Which whole number on the dial is the needle of the main gauge pointing closest to? Output the answer as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.244}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 61, "image": "9524ed4d-178c-4051-9357-7c560b07815a_png_jpg.rf.59849ff479e380b534b74d0addc8a4e5.jpg", "expected": "GBK9951P", "predicted": "GBK9951P", "correct": true, "input_tokens": 1162, "output_tokens": 11, "elapsed_seconds": 2.313095874967985, "metadata": {"question": "What is the license plate number on the vehicle? Format the answer as a continuous sequence of uppercase letters and digits with no spaces (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.3471}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 62, "image": "4bd1305c-ba69-4b95-acbd-aeedcde5aeb5_input-input-1778614713022-g8ey7mf8j_png_jpg.rf.05583223686725fe6e962b4344e9fc7c.jpg", "expected": "2026-02-10 14:30:56", "predicted": "2026-02-10 14:30:56", "correct": true, "input_tokens": 1172, "output_tokens": 23, "elapsed_seconds": 4.355101292021573, "metadata": {"question": "What timestamp is overlaid near the top-right corner of the image? Output the timestamp exactly as printed.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.3992}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 63, "image": "2147a9a8-913a-4b7f-9b36-908eb54628d3_input-input-1771463083999-cj6damrec_png_jpg.rf.b1aa904aaf7b7942d731f9a9f25bc3e1.jpg", "expected": "06-28-2014", "predicted": "06-28-2014", "correct": true, "input_tokens": 1163, "output_tokens": 14, "elapsed_seconds": 2.953262333991006, "metadata": {"question": "What is the exact date printed in the bottom left section of the receipt, just below the item count? Format the answer exactly as it appears in the image.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.002}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 64, "image": "2147a9a8-913a-4b7f-9b36-908eb54628d3_input-input-1771463083999-cj6damrec_png_jpg.rf.b1aa904aaf7b7942d731f9a9f25bc3e1.jpg", "expected": "3.79", "predicted": "3.79", "correct": true, "input_tokens": 1168, "output_tokens": 8, "elapsed_seconds": 2.624161583953537, "metadata": {"question": "What is the numerical price listed in the right column for the item specifically named \"EGGS 1 DOZ ORGANIC BROWN.\"? Output the price as a decimal number without currency symbols.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.6731}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 65, "image": "2147a9a8-913a-4b7f-9b36-908eb54628d3_input-input-1771463083999-cj6damrec_png_jpg.rf.b1aa904aaf7b7942d731f9a9f25bc3e1.jpg", "expected": "$40.00", "predicted": "$40.00", "correct": true, "input_tokens": 1170, "output_tokens": 10, "elapsed_seconds": 3.4669651659205556, "metadata": {"question": "What is the exact cash amount tendered, printed directly to the right of the bold word \"CASH\" near the bottom of the receipt? Format the answer exactly as printed, including the dollar sign.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.5146}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 66, "image": "c1300d50-94fc-4081-b871-8338cef58e16_input-input-1778695950497-jbtexy630_png_jpg.rf.6fbb0636423109f2dfca5f2a22a6883a.jpg", "expected": "10:26", "predicted": "10:26", "correct": true, "input_tokens": 1190, "output_tokens": 9, "elapsed_seconds": 3.1431982499780133, "metadata": {"question": "What is the time remaining in the period displayed in the center of the top scoreboard? Format the answer exactly as it appears on the screen (e.g., 12:34).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1871}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 67, "image": "c1300d50-94fc-4081-b871-8338cef58e16_input-input-1778695950497-jbtexy630_png_jpg.rf.6fbb0636423109f2dfca5f2a22a6883a.jpg", "expected": "53", "predicted": "53", "correct": true, "input_tokens": 1186, "output_tokens": 6, "elapsed_seconds": 2.5267846250208095, "metadata": {"question": "What is the total combined number of shots taken by both teams as displayed on the top scoreboard? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.5694}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 68, "image": "c1300d50-94fc-4081-b871-8338cef58e16_input-input-1778695950497-jbtexy630_png_jpg.rf.6fbb0636423109f2dfca5f2a22a6883a.jpg", "expected": "SEA 1 - TOR 1", "predicted": "SEA 1 - TOR 1", "correct": true, "input_tokens": 1189, "output_tokens": 11, "elapsed_seconds": 2.4434605420101434, "metadata": {"question": "What is the current score shown on the top scoreboard? Format your answer as ABC N - ABC N using the two team abbreviations (e.g., SEA 1 - TOR 2).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.4837}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 69, "image": "eeee1640-5005-460c-a3f3-12dfff951fc5_png_jpg.rf.648ce83a788a4eb5a650235397675f44.jpg", "expected": "PC5949A", "predicted": "PC5949A", "correct": true, "input_tokens": 1162, "output_tokens": 10, "elapsed_seconds": 3.6537753329612315, "metadata": {"question": "What is the license plate number on the vehicle? Format the answer as a continuous sequence of uppercase letters and digits with no spaces (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.7016}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 70, "image": "93441566-50c0-4bfb-9a31-437a2bc5e4f2_png_jpg.rf.078ab0583bc75e5a47971dc175d8a0a3.jpg", "expected": "OP01-013", "predicted": "OP01-013", "correct": true, "input_tokens": 1191, "output_tokens": 11, "elapsed_seconds": 2.9750853340374306, "metadata": {"question": "What is the alphanumeric card code printed in the bottom right corner just before the block icon? Output the exact text as printed (e.g., \"OP02-001\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.988}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 71, "image": "93441566-50c0-4bfb-9a31-437a2bc5e4f2_png_jpg.rf.078ab0583bc75e5a47971dc175d8a0a3.jpg", "expected": "3000", "predicted": "3000", "correct": true, "input_tokens": 1192, "output_tokens": 8, "elapsed_seconds": 2.7871577499900013, "metadata": {"question": "What power value is printed in the white box at the top-right corner of the card? Format the answer as a continuous sequence of digits (e.g., 7000).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8011}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 72, "image": "94f3adfa-0184-4872-8eb9-9f24e1a81a95_png_jpg.rf.2be986b2ba0f23bc57b7056a30d7423b.jpg", "expected": "1:26.0", "predicted": "1:26.0", "correct": true, "input_tokens": 1191, "output_tokens": 10, "elapsed_seconds": 3.060509374947287, "metadata": {"question": "What lap time is shown in large white digits inside the center HAMILTON panel? Format the answer exactly as a time with a colon and decimal (e.g., 1:23.4).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1076}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 73, "image": "36e6af65-9cf0-4b16-b5b2-2dbf5d54ffae_input-input-1778190001786-w0937ikxt_png_jpg.rf.e59dce98ea670882a0a0bfb3e59730b2.jpg", "expected": "14", "predicted": "14", "correct": true, "input_tokens": 1173, "output_tokens": 6, "elapsed_seconds": 3.097221542033367, "metadata": {"question": "What is the total number of empty ports on the white panel? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1263}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 74, "image": "33299f4b-1857-4400-a31d-677ecd2c277a_input-input-1771415890481-7pfiombu0_png_jpg.rf.feabb125c41c69cf7d8c3aca315be50d.jpg", "expected": "12:07:56", "predicted": "12:07:56", "correct": true, "input_tokens": 1155, "output_tokens": 12, "elapsed_seconds": 2.79982720897533, "metadata": {"question": "What is the exact time displayed in the timestamp at the top left corner of the image? Format the answer exactly as HH:MM:SS.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.858}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 75, "image": "621387a6-d868-4912-90f1-7e8abd9df0c0_png_jpg.rf.a8276e972135e7eecb7d2d74936e608e.jpg", "expected": "TISSOT", "predicted": "TISSOT", "correct": true, "input_tokens": 1175, "output_tokens": 7, "elapsed_seconds": 2.777791375061497, "metadata": {"question": "aahat brand name is printed upside-down in large letters in the lower half of the watch dial? Output the exact text as printed (e.g., ROLEX).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8733}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 76, "image": "621387a6-d868-4912-90f1-7e8abd9df0c0_png_jpg.rf.a8276e972135e7eecb7d2d74936e608e.jpg", "expected": "15", "predicted": "15", "correct": true, "input_tokens": 1178, "output_tokens": 6, "elapsed_seconds": 3.5518429999938235, "metadata": {"question": "What number is visible in the small date window near the upper-left edge of the blue dial? Format the answer as a continuous sequence of digits (e.g., 24).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.6549}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 77, "image": "0e9ddffb-4d1d-4c64-bfce-3e518dd1c8ae_input-input-1779391692177-bujnsi4tk_png_jpg.rf.36d93ac4b35d2ac11fcc66f37ebddb4b.jpg", "expected": "2 000111 111112", "predicted": "2 000111 111112", "correct": true, "input_tokens": 1144, "output_tokens": 19, "elapsed_seconds": 3.5450305830454454, "metadata": {"question": "What is the sequence of digits printed directly alongside the barcode on the left side of the meter? Format the answer exactly as printed, including spaces.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.7263}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 78, "image": "9557f58e-ee73-4877-8bff-54aaa8bee062_input-input-1769507524173-1hzc9hfio_png_jpg.rf.a5376988f390a31b2c12912c07892281.jpg", "expected": "18", "predicted": "18", "correct": true, "input_tokens": 1174, "output_tokens": 6, "elapsed_seconds": 4.256731625064276, "metadata": {"question": "What number is displayed clearly on the uppermost, flat face of the die? Output the answer as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.3148}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 79, "image": "f0c68933-64c5-49e6-8845-707afdc32a4e_input-input-1776058768062-tn8vkqrxk_png_jpg.rf.5d66532520dc17be0083a5fe2664c963.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1168, "output_tokens": 5, "elapsed_seconds": 4.016780374920927, "metadata": {"question": "What number is displayed in red on the digital indicator above the leftmost elevator doors? Output the exact digit (e.g., 5).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.0932}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 80, "image": "f0c68933-64c5-49e6-8845-707afdc32a4e_input-input-1776058768062-tn8vkqrxk_png_jpg.rf.5d66532520dc17be0083a5fe2664c963.jpg", "expected": "14", "predicted": "14", "correct": true, "input_tokens": 1176, "output_tokens": 6, "elapsed_seconds": 5.924644708051346, "metadata": {"question": "What floor is this scene on, based on any floor signage or indicators visible in the image? Format the answer as a continuous sequence of digits (e.g., 5).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.0042}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 81, "image": "4409ba1c-5b55-47e4-8fb3-ed245021d0bb_input-input-1776892569933-6scj88bzo_png_jpg.rf.c5d4d0e67097acc2dc0e5a026f4d5514.jpg", "expected": "NEXT", "predicted": "NEXT", "correct": true, "input_tokens": 1143, "output_tokens": 5, "elapsed_seconds": 4.930521958973259, "metadata": {"question": "What retailer name is printed in large letters near the left side of the receipt? Output the exact uppercase word (e.g., STORE).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.0016}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 82, "image": "4409ba1c-5b55-47e4-8fb3-ed245021d0bb_input-input-1776892569933-6scj88bzo_png_jpg.rf.c5d4d0e67097acc2dc0e5a026f4d5514.jpg", "expected": "0333 0055 512", "predicted": "0333 0055 512", "correct": true, "input_tokens": 1165, "output_tokens": 17, "elapsed_seconds": 2.9079841669881716, "metadata": {"question": "What telephone number is printed on the line beginning with 'TEL' beneath 'London New Retail 0512'? Output the number exactly with spaces (e.g., 0123 4567 890).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9806}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 83, "image": "4409ba1c-5b55-47e4-8fb3-ed245021d0bb_input-input-1776892569933-6scj88bzo_png_jpg.rf.c5d4d0e67097acc2dc0e5a026f4d5514.jpg", "expected": "14 Mar 2026", "predicted": "14 Mar 2026", "correct": true, "input_tokens": 1155, "output_tokens": 12, "elapsed_seconds": 7.341412957990542, "metadata": {"question": "What calendar date is printed on the timestamp line beneath the TEL line? Output the date exactly as printed without the weekday or time (e.g., 01 Jan 2026).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.4125}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 84, "image": "4409ba1c-5b55-47e4-8fb3-ed245021d0bb_input-input-1776892569933-6scj88bzo_png_jpg.rf.c5d4d0e67097acc2dc0e5a026f4d5514.jpg", "expected": "\u00a397.00", "predicted": "\u00a397.00", "correct": true, "input_tokens": 1156, "output_tokens": 10, "elapsed_seconds": 3.08792370907031, "metadata": {"question": "What total refund amount is printed next to 'TOTAL REFUNDED TO ACCOUNT' in the middle of the receipt? Format the answer exactly as a pound amount (e.g., \u00a3XX.XX).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1589}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 85, "image": "19f45907-d682-40cf-bb87-9133dc873871_input-input-1778506438615-gyarfruw4_png_jpg.rf.22e9fb7526b6b695a79118f2794a9ab3.jpg", "expected": "037156273", "predicted": "037156273", "correct": true, "input_tokens": 1191, "output_tokens": 13, "elapsed_seconds": 2.310948417056352, "metadata": {"question": "What is the serial number printed directly after \"S/N:\" at the top of the meter? Format the answer as a continuous sequence of digits.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.3358}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 86, "image": "1a8ee468-d168-4cec-bf83-881ad2853ed9_png_jpg.rf.02ee8e87c0ee9b2581f17ccbdb8fa702.jpg", "expected": "NYKU3687780", "predicted": "NYKU3687780", "correct": true, "input_tokens": 1159, "output_tokens": 13, "elapsed_seconds": 3.9542938749073073, "metadata": {"question": "What is the vertical container identification code printed on the far left of the blue container? Format the answer as a continuous sequence of letters and numbers without spaces (e.g., ABCD1234567).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.0245}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 87, "image": "1a8ee468-d168-4cec-bf83-881ad2853ed9_png_jpg.rf.02ee8e87c0ee9b2581f17ccbdb8fa702.jpg", "expected": "22G1", "predicted": "22G1", "correct": true, "input_tokens": 1148, "output_tokens": 8, "elapsed_seconds": 3.192620416986756, "metadata": {"question": "Which four-character code is printed vertically directly above the yellow height limit sign on the blue container? Output the code exactly as printed (e.g., ABCD).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.2643}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 88, "image": "ae20b44c-9be6-47a5-8002-2c417a2a2441_png_jpg.rf.d312136933cbfcb91483a2dfad0d53bd.jpg", "expected": "Sesame Seed", "predicted": "Sesame Seed", "correct": true, "input_tokens": 1165, "output_tokens": 7, "elapsed_seconds": 1.9229637919925153, "metadata": {"question": "What bold allergen name appears in the ingredients paragraph next to the word \"Paste\"? Output the text exactly as printed (e.g., Wheat).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 1.9362}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 89, "image": "ae20b44c-9be6-47a5-8002-2c417a2a2441_png_jpg.rf.d312136933cbfcb91483a2dfad0d53bd.jpg", "expected": "Per 1/4 pot", "predicted": "Per 1/4 pot", "correct": true, "input_tokens": 1176, "output_tokens": 10, "elapsed_seconds": 2.612169959000312, "metadata": {"question": "Which nutrition table header is immediately to the right of \"Per 100g\" in the row beneath \"NUTRITION\"? Output the text exactly as printed (e.g., Per item).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.6227}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 90, "image": "0212eb3d-e4b1-4ef4-9204-e920654bf677_input-input-1778110710064-oqhw5zz8j_png_jpg.rf.014217c55a8b2da0df65b97e042ed090.jpg", "expected": "$44.99", "predicted": "$44.99", "correct": true, "input_tokens": 1158, "output_tokens": 10, "elapsed_seconds": 3.475524957990274, "metadata": {"question": "What is the price displayed on the green \"Price Cut\" tag directly beneath the Four Roses Single Barrel on the top shelf? Format the answer exactly as a dollar amount (e.g., $XX.XX).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.5958}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 91, "image": "bab22192-40dc-46bd-b314-ea08adf480e4_input-input-1768993566899-f1f6n85t5_png_jpg.rf.e266ed38188402a2fd66c6ee3416a4f0.jpg", "expected": "250ml", "predicted": "250ml", "correct": true, "input_tokens": 1147, "output_tokens": 8, "elapsed_seconds": 2.5843358340207487, "metadata": {"question": "What capacity text is printed beneath the Fisherbrand logo on the right beaker? Output exactly with no added space (e.g., 100ml).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.6643}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 92, "image": "bab22192-40dc-46bd-b314-ea08adf480e4_input-input-1768993566899-f1f6n85t5_png_jpg.rf.e266ed38188402a2fd66c6ee3416a4f0.jpg", "expected": "150ml", "predicted": "150 ml", "correct": true, "input_tokens": 1156, "output_tokens": 8, "elapsed_seconds": 3.610085375024937, "metadata": {"question": "What is the liquid level in the leftmost beaker, as read from its printed measurement scale? Format the answer as a number followed by a space and ml (e.g., 100ml).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.6871}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 93, "image": "537aaf5f-ca39-4266-beec-32e4e9b2e3aa_png_jpg.rf.7a1f952bb873dc687f3b3f3d0dfe0301.jpg", "expected": "SLV3235L", "predicted": "SLV3235L", "correct": true, "input_tokens": 1167, "output_tokens": 11, "elapsed_seconds": 2.589522417052649, "metadata": {"question": "What is the license plate number on the vehicle? Format the answer as a continuous sequence of uppercase letters and digits with no spaces (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.5977}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 94, "image": "39fe721b-44c4-4a0c-aeac-2897520dfa68_input-input-1781394102861-00bvuicbi_png_jpg.rf.363242f15c7e98f02eea7cb38d065c13.jpg", "expected": "205/60 R 16", "predicted": "205/60 R 16", "correct": true, "input_tokens": 1166, "output_tokens": 14, "elapsed_seconds": 2.6638940420234576, "metadata": {"question": "What is the large alphanumeric tire size sequence printed on the right side of the sidewall? Output the exact text including spaces and slashes.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7425}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 95, "image": "0e4e059a-dffb-4d94-8827-06ec9a325906_input-input-1780878352625-ut880vj94_png_jpg.rf.bfa6b203688cdd30b56b2d4a213fe38e.jpg", "expected": "Brixx", "predicted": "Brixx", "correct": true, "input_tokens": 1159, "output_tokens": 7, "elapsed_seconds": 2.2951908750692382, "metadata": {"question": "What restaurant name is printed at the top center of the receipt? Output the text exactly as printed (e.g., Pizzeria Uno).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.313}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 96, "image": "0e4e059a-dffb-4d94-8827-06ec9a325906_input-input-1780878352625-ut880vj94_png_jpg.rf.bfa6b203688cdd30b56b2d4a213fe38e.jpg", "expected": "501 Meadowmont Village Circle", "predicted": "501 Meadowmont Village Circle", "correct": true, "input_tokens": 1164, "output_tokens": 11, "elapsed_seconds": 4.786715542082675, "metadata": {"question": "What street address is printed directly beneath the \"Brixx\" heading? Output the address exactly as printed (e.g., 123 Main Street).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.8043}} diff --git a/results/extraction_gemini-4-argon-eap_low_20261012_223724.jsonl b/results/extraction_gemini-4-argon-eap_low_20261012_223724.jsonl deleted file mode 100644 index 19c2b4d..0000000 --- a/results/extraction_gemini-4-argon-eap_low_20261012_223724.jsonl +++ /dev/null @@ -1,97 +0,0 @@ -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 0, "image": "9a8c8b2e-fb85-4a29-8a8e-c4d8e90a263c_input-input-1771415218745-lelho5crz_png_jpg.rf.c532e07f580fa8f33418c4e51767f52f.jpg", "expected": "10:27", "predicted": "10:27", "correct": true, "input_tokens": 1184, "output_tokens": 9, "elapsed_seconds": 5.223061915952712, "metadata": {"question": "What is the time displayed in the top left corner of the dashboard? Format the answer exactly as it appears (e.g., 12:34).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.3171}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 1, "image": "9a8c8b2e-fb85-4a29-8a8e-c4d8e90a263c_input-input-1771415218745-lelho5crz_png_jpg.rf.c532e07f580fa8f33418c4e51767f52f.jpg", "expected": "7507 km", "predicted": "7507 km", "correct": true, "input_tokens": 1191, "output_tokens": 9, "elapsed_seconds": 5.342119249980897, "metadata": {"question": "What is the total odometer reading shown directly to the right of the 'P' gear indicator? Format the answer exactly as printed including the unit (e.g., 1234 km).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.4362}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 2, "image": "9a8c8b2e-fb85-4a29-8a8e-c4d8e90a263c_input-input-1771415218745-lelho5crz_png_jpg.rf.c532e07f580fa8f33418c4e51767f52f.jpg", "expected": "20.5\u00b0C", "predicted": "20.5\u00b0C", "correct": true, "input_tokens": 1191, "output_tokens": 10, "elapsed_seconds": 5.316338249947876, "metadata": {"question": "What is the temperature reading displayed in the top right corner of the dashboard? Format the answer exactly as printed including the degree symbol and unit (e.g., 22.0\u00b0C).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.4038}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 3, "image": "66bbef87-2e52-4a5a-8583-f52fbfa7465d_input-input-1778826066883-6t9qhnglh_png_jpg.rf.90a49214642ae3efbd28a7ef58d4a0d0.jpg", "expected": "$254", "predicted": "$254", "correct": true, "input_tokens": 1173, "output_tokens": 8, "elapsed_seconds": 4.763771584024653, "metadata": {"question": "What is the total price for the Icon Room, explicitly stated to include taxes & fees? Output the answer exactly as printed, including the dollar sign.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.804}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 4, "image": "66bbef87-2e52-4a5a-8583-f52fbfa7465d_input-input-1778826066883-6t9qhnglh_png_jpg.rf.90a49214642ae3efbd28a7ef58d4a0d0.jpg", "expected": "1500", "predicted": "1500", "correct": true, "input_tokens": 1183, "output_tokens": 8, "elapsed_seconds": 3.1949242079863325, "metadata": {"question": "According to the \"Surroundings\" list on the right side of the page, what is the exact distance in feet to the Richmond Night Market? Output the answer as a single integer without units.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.2354}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 5, "image": "66bbef87-2e52-4a5a-8583-f52fbfa7465d_input-input-1778826066883-6t9qhnglh_png_jpg.rf.90a49214642ae3efbd28a7ef58d4a0d0.jpg", "expected": "9.1", "predicted": "9.1", "correct": true, "input_tokens": 1176, "output_tokens": 7, "elapsed_seconds": 4.343894041958265, "metadata": {"question": "What is the numerical customer review rating out of 10 displayed in the blue circle on the right side of the page? Output the answer as a decimal number.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.3861}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 6, "image": "c9b00dcb-e093-43d9-baf8-f1971ff328af_input-input-1769103177177-3x5hfzwbp_png_jpg.rf.95edcd11e5d8724ab285b69ba52f6deb.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1143, "output_tokens": 5, "elapsed_seconds": 3.3072806249838322, "metadata": {"question": "What handwritten number appears near the upper left corner of the card? Format the answer as a single digit (e.g., 7).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.376}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 7, "image": "c9b00dcb-e093-43d9-baf8-f1971ff328af_input-input-1769103177177-3x5hfzwbp_png_jpg.rf.95edcd11e5d8724ab285b69ba52f6deb.jpg", "expected": "G230", "predicted": "G230", "correct": true, "input_tokens": 1144, "output_tokens": 8, "elapsed_seconds": 3.4916508329333737, "metadata": {"question": "What is the alphanumeric code printed on the tan half of the capsule? Output the exact text (e.g., \"A123\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.5467}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 8, "image": "f0d4c0bf-3a21-41a5-b0c2-c33b94feadb4_input-input-1771859752511-bk56l0pe1_png_jpg.rf.6c4ddb547fa7d14bea520ceb83d179fe.jpg", "expected": "63.490", "predicted": "63.490", "correct": true, "input_tokens": 1147, "output_tokens": 10, "elapsed_seconds": 3.7950970840174705, "metadata": {"question": "What is the numerical value for the NET weight in LBS printed on the right door of the shipping container? Format the answer as a number including the decimal point.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.8958}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 9, "image": "f0d4c0bf-3a21-41a5-b0c2-c33b94feadb4_input-input-1771859752511-bk56l0pe1_png_jpg.rf.6c4ddb547fa7d14bea520ceb83d179fe.jpg", "expected": "TCKU 612608 6 45G1", "predicted": "TCKU 612608 6 45G1", "correct": true, "input_tokens": 1153, "output_tokens": 20, "elapsed_seconds": 5.67690937500447, "metadata": {"question": "What is the complete two-line identification text printed in white on the upper right side of the container doors? Format the answer with a single space separating the top sequence from the bottom sequence.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.7775}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 10, "image": "f0d4c0bf-3a21-41a5-b0c2-c33b94feadb4_input-input-1771859752511-bk56l0pe1_png_jpg.rf.6c4ddb547fa7d14bea520ceb83d179fe.jpg", "expected": "2516510", "predicted": "2516100", "correct": false, "input_tokens": 1135, "output_tokens": 11, "elapsed_seconds": 4.00075554207433, "metadata": {"question": "What is the license plate number on the trailer? Format the answer as a continuous sequence of digits.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 4.1005}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 11, "image": "c9dbd271-e8bd-4a4c-9d90-dcc53a4910f6_input-input-1776792452299-9guc9kcwh_png_jpg.rf.499be0493ce07a3ce99ad741b1087b71.jpg", "expected": "0.40", "predicted": "0.40", "correct": true, "input_tokens": 1177, "output_tokens": 8, "elapsed_seconds": 3.3393445409601554, "metadata": {"question": "What time is shown on the left display of the red chess clock behind the board? Format the answer as a time with a colon (e.g., 1.23).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.3931}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 12, "image": "91b13b86-2929-4232-a4d1-a9a98420477e_png_jpg.rf.2d391bd85b3ed91712271a024089677e.jpg", "expected": "GZ808S", "predicted": "GZ808S", "correct": true, "input_tokens": 1172, "output_tokens": 9, "elapsed_seconds": 3.026148958946578, "metadata": {"question": "What is the license plate number on the vehicle? Format the answer as a continuous sequence of uppercase letters and digits with no spaces (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.0325}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 13, "image": "d2029347-fd3c-40be-8d89-b0e1abf64e9b_input-input-1781204084098-88xr6eavh_png_jpg.rf.21d8156058ed4f8ed2cffba4507eedee.jpg", "expected": "9CGN302", "predicted": "9CGN302", "correct": true, "input_tokens": 1152, "output_tokens": 10, "elapsed_seconds": 3.4961325830081478, "metadata": {"question": "What is the license plate number on the rear of the black SUV? Format the answer as a continuous sequence of uppercase letters and digits (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.5655}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 14, "image": "d2029347-fd3c-40be-8d89-b0e1abf64e9b_input-input-1781204084098-88xr6eavh_png_jpg.rf.21d8156058ed4f8ed2cffba4507eedee.jpg", "expected": "7WQV954", "predicted": "7WQV954", "correct": true, "input_tokens": 1156, "output_tokens": 10, "elapsed_seconds": 3.309951208997518, "metadata": {"question": "What is the license plate number on the rear of the grey car in the upper left? Format the answer as a continuous sequence of uppercase letters and digits (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.3791}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 15, "image": "d2029347-fd3c-40be-8d89-b0e1abf64e9b_input-input-1781204084098-88xr6eavh_png_jpg.rf.21d8156058ed4f8ed2cffba4507eedee.jpg", "expected": "YUKON", "predicted": "YUKON", "correct": true, "input_tokens": 1149, "output_tokens": 7, "elapsed_seconds": 2.562558125006035, "metadata": {"question": "What text is written in silver letters on the lower left of the black SUV's tailgate? Output the exact text as printed (e.g., EXPLORER).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.6293}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 16, "image": "020c3db8-dcc2-40e0-bf26-c874edb1612b_png_jpg.rf.a299e53bc85c66b204fae58e26a1e19b.jpg", "expected": "NCY1", "predicted": "NCY1", "correct": true, "input_tokens": 1178, "output_tokens": 7, "elapsed_seconds": 2.7696762919658795, "metadata": {"question": "What is the item code listed directly above 'CDMF' in the 'Item Code' column? Output the code exactly as printed in uppercase (e.g., ABCD).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8222}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 17, "image": "41a7e177-1031-4d8e-bdee-eecbb1f0d240_input-input-1774997209388-d3qjo2hm2_png_jpg.rf.9a0e0f41aecab5811b006d59b42506db.jpg", "expected": "005708", "predicted": "005708", "correct": true, "input_tokens": 1169, "output_tokens": 10, "elapsed_seconds": 3.055975625058636, "metadata": {"question": "What six-digit meter reading is shown in the black-framed LCD display? Format the answer as a continuous sequence of digits.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.065}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 18, "image": "26584325-f95e-41e4-9f4b-99afc5ff078d_png_jpg.rf.30e30b60362db55140cd5874abc92899.jpg", "expected": "SIMONE KOVENSKY", "predicted": "SIMONE KOVENSKY", "correct": true, "input_tokens": 1152, "output_tokens": 10, "elapsed_seconds": 4.718386167078279, "metadata": {"question": "What is the name written in the 'CLIENT:' field at the top right of the form? Output the name exactly as written in all capital letters (e.g., JOHN DOE).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.7983}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 19, "image": "c56ead6c-0697-4216-a27e-fbd28c19aaed_input-input-1781393738001-e3qhlmchi_png_jpg.rf.904ea3d34bf309c1a08a8147dd181e22.jpg", "expected": "225/65 R 17", "predicted": "225/65 R 17", "correct": true, "input_tokens": 1203, "output_tokens": 14, "elapsed_seconds": 5.745096958940849, "metadata": {"question": "What is the tire size printed directly to the right of the top-left \"MICHELIN\" brand name? Output the exact text as printed (e.g., 205/55 R 16).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.7907}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 20, "image": "c56ead6c-0697-4216-a27e-fbd28c19aaed_input-input-1781393738001-e3qhlmchi_png_jpg.rf.904ea3d34bf309c1a08a8147dd181e22.jpg", "expected": "POLAND", "predicted": "POLAND", "correct": true, "input_tokens": 1191, "output_tokens": 6, "elapsed_seconds": 10.835518207983114, "metadata": {"question": "What country is printed inside the oval directly below the words \"MADE IN\" on the bottom tire? Output the exact text as printed (e.g., GERMANY).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.8805}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 21, "image": "dce06136-2d24-422b-a3b6-e100c9a4bad1_input-input-1780992231793-0zf74ymfd_png_jpg.rf.d839d1c678628694e2bff03a7de7f25a.jpg", "expected": "1800 22 4020", "predicted": "1800 22 4020", "correct": true, "input_tokens": 1164, "output_tokens": 16, "elapsed_seconds": 8.218267374904826, "metadata": {"question": "What phone number is printed after the line \"OR CALL US AT\"? Output the number exactly as printed, preserving spaces.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.2659}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 22, "image": "dce06136-2d24-422b-a3b6-e100c9a4bad1_input-input-1780992231793-0zf74ymfd_png_jpg.rf.d839d1c678628694e2bff03a7de7f25a.jpg", "expected": "8901491361026", "predicted": "8901491361026", "correct": true, "input_tokens": 1157, "output_tokens": 17, "elapsed_seconds": 4.047383875004016, "metadata": {"question": "What number is printed directly beneath the barcode on the package? Respond with digits only.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.0962}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 23, "image": "dce06136-2d24-422b-a3b6-e100c9a4bad1_input-input-1780992231793-0zf74ymfd_png_jpg.rf.d839d1c678628694e2bff03a7de7f25a.jpg", "expected": "558 kcal", "predicted": "558 kcal", "correct": true, "input_tokens": 1168, "output_tokens": 8, "elapsed_seconds": 3.562526624999009, "metadata": {"question": "In the nutritional information table, what is the Energy value per 100g? Respond with the number and unit exactly as shown.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.6108}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 24, "image": "145655c9-ac14-4dbb-8925-e2b81fb119e3_input-input-1778072520416-hq28k5crq_png_jpg.rf.4778c32b3806b491466ac777daff1840.jpg", "expected": "0176213", "predicted": "0176213", "correct": true, "input_tokens": 1150, "output_tokens": 11, "elapsed_seconds": 3.818093875073828, "metadata": {"question": "What is the large, bold, seven digit number printed at the bottom right corner of the label attached to the metal shelf? Format the answer as a continuous sequence of digits.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.8858}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 25, "image": "145655c9-ac14-4dbb-8925-e2b81fb119e3_input-input-1778072520416-hq28k5crq_png_jpg.rf.4778c32b3806b491466ac777daff1840.jpg", "expected": "36", "predicted": "36", "correct": true, "input_tokens": 1142, "output_tokens": 6, "elapsed_seconds": 3.0006002079462633, "metadata": {"question": "What is the total number of white PVC profile cross-sections visible in the entire stack? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.0686}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 26, "image": "47ad34a1-d784-48fd-bf0b-9814791703e3_input-input-1779422613724-1i91z3id8_png_jpg.rf.b05b9398755d107d94666106dd5d8aa8.jpg", "expected": "6315", "predicted": "6315", "correct": true, "input_tokens": 1169, "output_tokens": 8, "elapsed_seconds": 4.140230791992508, "metadata": {"question": "What fleet number is printed on the rear window of the yellow bus at the right edge? Format the answer as a continuous sequence of digits (e.g., 1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.2158}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 27, "image": "47ad34a1-d784-48fd-bf0b-9814791703e3_input-input-1779422613724-1i91z3id8_png_jpg.rf.b05b9398755d107d94666106dd5d8aa8.jpg", "expected": "ZL 7237", "predicted": "ZL 7237", "correct": true, "input_tokens": 1168, "output_tokens": 10, "elapsed_seconds": 3.6413574579637498, "metadata": {"question": "What is the license plate number of the black SUV in the foreground right lane? Format the answer exactly as printed, including spaces (e.g., AB 1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.7151}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 28, "image": "cc68304c-144a-4975-a93a-d8efa85db6ed_input-input-1769095484858-rohdg9mmc_png_jpg.rf.378e0d7628c9899c5d343c8f700ca50b.jpg", "expected": "34", "predicted": "34", "correct": true, "input_tokens": 1170, "output_tokens": 6, "elapsed_seconds": 3.100795791950077, "metadata": {"question": "What is the large number displayed on the digital screen of the device? Output the exact number.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1557}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 29, "image": "d489f405-013e-4e8b-968a-1d9db2060050_png_jpg.rf.b6ede8915c0c026e32f0e8d070b1d247.jpg", "expected": "18", "predicted": "18", "correct": true, "input_tokens": 1170, "output_tokens": 6, "elapsed_seconds": 3.8324037910206243, "metadata": {"question": "What is the total quantity (QTY) of all items described as \"Air Filter\" in the DESCRIPTION column? Output the final sum as a single integer (e.g., 15).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.8503}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 30, "image": "d0b99ce8-8a3b-4d1d-98d4-b34137b19f08_input-input-1768805031339-rs4dctz0p_png_jpg.rf.0b9ba7244c8f71c6879248740d0f2a0d.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1176, "output_tokens": 5, "elapsed_seconds": 4.021716749994084, "metadata": {"question": "Counting rows from the top starting at 1, in which row is the green 'American Bankers Association' stamp located? Output the row number as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.1185}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 31, "image": "06072daf-424d-471e-a5cb-f8821cf88eb6_input-input-1772637869821-qu9ua1cb8_png_jpg.rf.dbc22b4330271e95f97fe41a59e1179c.jpg", "expected": "0.1", "predicted": "0.1", "correct": true, "input_tokens": 1165, "output_tokens": 7, "elapsed_seconds": 2.7879340840736404, "metadata": {"question": "What is the exact numerical value listed for Trans Fat per 100g? Format the answer as a decimal number.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8347}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 32, "image": "06072daf-424d-471e-a5cb-f8821cf88eb6_input-input-1772637869821-qu9ua1cb8_png_jpg.rf.dbc22b4330271e95f97fe41a59e1179c.jpg", "expected": "CONSUMER.FEEDBACK@PEPSICO.COM", "predicted": "CONSUMER.FEEDBACK@PEPSICO.COM", "correct": true, "input_tokens": 1160, "output_tokens": 14, "elapsed_seconds": 4.516157999983989, "metadata": {"question": "What is the email address provided for consumer feedback or queries? Output the email address exactly as printed.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.5629}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 33, "image": "06072daf-424d-471e-a5cb-f8821cf88eb6_input-input-1772637869821-qu9ua1cb8_png_jpg.rf.dbc22b4330271e95f97fe41a59e1179c.jpg", "expected": "8901491001137", "predicted": "8901491001137", "correct": true, "input_tokens": 1165, "output_tokens": 17, "elapsed_seconds": 3.577055500005372, "metadata": {"question": "What is the 13-digit number printed directly below the barcode? Format the answer as a continuous sequence of digits.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.6265}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 34, "image": "5382e8f7-15f4-42a9-a54d-379a13cef073_input-input-1778848976488-hc2g5oq4u_png_jpg.rf.00a60ea7c1d1fe980ffa61040dbb248a.jpg", "expected": "13877350", "predicted": "13877350", "correct": true, "input_tokens": 1146, "output_tokens": 12, "elapsed_seconds": 6.984328666003421, "metadata": {"question": "What is the exact eight-digit number printed directly beneath the barcode in the top center \"Process Order\" section? Output the answer as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.1059}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 35, "image": "5382e8f7-15f4-42a9-a54d-379a13cef073_input-input-1778848976488-hc2g5oq4u_png_jpg.rf.00a60ea7c1d1fe980ffa61040dbb248a.jpg", "expected": "23:59:59", "predicted": "23:59:59", "correct": true, "input_tokens": 1146, "output_tokens": 12, "elapsed_seconds": 3.8662871250417084, "metadata": {"question": "What is the precise time listed under \"Scheduled Finish\" in the Production Scheduler section? Format the answer exactly as it appears (HH:MM:SS)", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.9787}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 36, "image": "df23429e-5fcf-4520-b958-bc8eda842562_input-input-1779516894552-yx6kf3wwi_png_jpg.rf.162bd99f2b2cc0a242610ac878dada35.jpg", "expected": "000865491059", "predicted": "000865491059", "correct": true, "input_tokens": 1175, "output_tokens": 16, "elapsed_seconds": 3.6914852500194684, "metadata": {"question": "What TIN is printed beside the QR code near the top right of the receipt? Format the answer as a continuous sequence of digits (e.g., 123456789012).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.7813}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 37, "image": "df23429e-5fcf-4520-b958-bc8eda842562_input-input-1779516894552-yx6kf3wwi_png_jpg.rf.162bd99f2b2cc0a242610ac878dada35.jpg", "expected": "GAX2354", "predicted": "GAX2354", "correct": true, "input_tokens": 1164, "output_tokens": 10, "elapsed_seconds": 3.6085243329871446, "metadata": {"question": "What plate number is printed in large type under the 'PAYMENT DETAILS' header? Output the text exactly as printed (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.6991}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 38, "image": "df23429e-5fcf-4520-b958-bc8eda842562_input-input-1779516894552-yx6kf3wwi_png_jpg.rf.162bd99f2b2cc0a242610ac878dada35.jpg", "expected": "0760-000000202792", "predicted": "0760-000000202792", "correct": true, "input_tokens": 1186, "output_tokens": 21, "elapsed_seconds": 3.0614685410400853, "metadata": {"question": "What is the long number printed immediately to the right of the dark \"OFFICIAL RECEIPT\" box? Format the answer as a continuous sequence of digits and hyphens (e.g., 1234-000000123456).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1536}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 39, "image": "1710a83d-1506-464e-83bf-f015141f1c37_input-input-1779171626146-78hoa3cju_png_jpg.rf.a4a6a3c3c8761b330dfe9cd2bc8a847a.jpg", "expected": "Thursday 22", "predicted": "Thursday 22", "correct": true, "input_tokens": 1183, "output_tokens": 8, "elapsed_seconds": 2.9254739159950987, "metadata": {"question": "What is the specific day of the week and date highlighted with a solid blue background on the right side of the calendar grid? Format the answer exactly as \"[Day of week] [Date number]\".", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9403}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 40, "image": "fc6e5e8d-4b33-4a20-a63a-96c0205ae8f6_png_jpg.rf.25fdc583a5ef5268cc575d85fb3c0924.jpg", "expected": "189300", "predicted": "189300", "correct": true, "input_tokens": 1185, "output_tokens": 10, "elapsed_seconds": 2.2235842500813305, "metadata": {"question": "What is the handwritten number written directly after \"R#\" at the bottom right corner of the page? Format the answer as a continuous sequence of digits (e.g., 123456).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.2533}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 41, "image": "76b25762-3b57-4158-9fab-945416165ada_png_jpg.rf.f417d6fc1ac47927bd5024452bf580e7.jpg", "expected": "#1123656-1", "predicted": "#1123656-1", "correct": true, "input_tokens": 1167, "output_tokens": 14, "elapsed_seconds": 2.939360124990344, "metadata": {"question": "What is the check number printed directly below the date 'TUE JANUARY 20, 2026'? Format the answer exactly as printed, including the hash symbol and hyphen (e.g., #123456-7).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.063}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 42, "image": "c3f661e1-1ce5-4c6b-ba39-f052aa469ae2_input-input-1780892587755-2dtxi0at3_png_jpg.rf.2e59559f9c0a22eb34f879380e77c649.jpg", "expected": "Andrew Ainsley", "predicted": "Andrew Ainsley", "correct": true, "input_tokens": 1159, "output_tokens": 7, "elapsed_seconds": 2.802806166931987, "metadata": {"question": "What full name is shown beneath the 'Full Name' label? Output the text exactly as printed, preserving capitalization (e.g., Jane Doe).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8226}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 43, "image": "c3f661e1-1ce5-4c6b-ba39-f052aa469ae2_input-input-1780892587755-2dtxi0at3_png_jpg.rf.2e59559f9c0a22eb34f879380e77c649.jpg", "expected": "+1-300-555-0399", "predicted": "+1-300-555-0399", "correct": true, "input_tokens": 1170, "output_tokens": 19, "elapsed_seconds": 2.2668998329900205, "metadata": {"question": "What phone number is shown beneath the 'Phone Number' label? Output the phone number exactly as printed (e.g., +1-222-333-4444).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.2835}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 44, "image": "acc53733-7609-4a88-9125-d9671368e31c_png_jpg.rf.1ebb25f78d83e52eabcdf2422409904b.jpg", "expected": "1:31.396", "predicted": "1:31.396", "correct": true, "input_tokens": 1196, "output_tokens": 12, "elapsed_seconds": 2.669849625090137, "metadata": {"question": "What is the lap time displayed next to the driver \"NOR\" at the top of the timing tower? Format the answer exactly as it appears on screen (e.g., 1:23.456).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.714}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 45, "image": "fc635714-9747-4562-934a-76a998f30986_input-input-1769516774340-ndngcy0b8_png_jpg.rf.69006b774b46928d96d99b793ff005ee.jpg", "expected": "09/2023", "predicted": "09/2023", "correct": true, "input_tokens": 1192, "output_tokens": 11, "elapsed_seconds": 2.7597270000260323, "metadata": {"question": "What is the date printed vertically along the left edge of the central blister pack? Format the answer exactly as it appears, including any punctuation (e.g., 12/2025).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8093}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 46, "image": "25e6ed9c-2d37-4533-8021-977770aa97d1_input-input-1780691294811-oql9y0w9f_png_jpg.rf.c03fb5cccd8a068f05019d0a4d371fc7.jpg", "expected": "026", "predicted": "026", "correct": true, "input_tokens": 1179, "output_tokens": 7, "elapsed_seconds": 2.7088002080563456, "metadata": {"question": "What is the three-digit identification number printed on the white roof of the truck cab? Format the answer as a sequence of three digits.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7608}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 47, "image": "1ad1c779-b18f-4aaa-9cf0-6155cb19879b_input-input-1769444672197-ug2bdacps_png_jpg.rf.995e162e3e39f5709ab077e0fbe2798b.jpg", "expected": "03/2027", "predicted": "The expiration date stamped on the bottom right corner of the blister pack is too blurry and low-resolution to be read with certainty. Please provide a clearer, higher-resolution close-up of the bottom edge of the packaging.", "correct": false, "input_tokens": 1164, "output_tokens": 49, "elapsed_seconds": 2.9384450829820707, "metadata": {"question": "What is the expiration date stamped at the bottom right corner of the left blister pack? Format the answer exactly as printed.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 2.9542}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 48, "image": "295f6019-a4f4-4a00-bb7b-6edfc37f54b6_input-input-1772410888497-d7tv6uegi_png_jpg.rf.efb04911d99ad83c1ce8d416c9966d16.jpg", "expected": "7811897358", "predicted": "7811897358", "correct": true, "input_tokens": 1138, "output_tokens": 14, "elapsed_seconds": 2.674603790976107, "metadata": {"question": "What is the NIP number printed near the top of the receipt? Format the answer as a continuous sequence of digits.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7764}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 49, "image": "21a6d806-d16e-4452-a2e3-7fa520bd671d_input-input-1769360430457-50a88jpis_png_jpg.rf.aa61306d9e54120882fabd13146cb148.jpg", "expected": "DIN 912 M8x25", "predicted": "DIN 912 M8x25", "correct": true, "input_tokens": 1151, "output_tokens": 14, "elapsed_seconds": 10.692382666980848, "metadata": {"question": "What is the exact text printed on the white label attached to the front of the middle plastic bin? Format the answer exactly as it appears in the image, preserving capitalization and spacing.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.811}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 50, "image": "db35c41c-a9ed-41bc-96cf-60186d715477_input-input-1774653477270-a4j6j7v6e_png_jpg.rf.57d75a03d42f0fc2b1029367596197db.jpg", "expected": "218", "predicted": "218", "correct": true, "input_tokens": 1188, "output_tokens": 7, "elapsed_seconds": 3.3485827499534935, "metadata": {"question": "What number is printed on the side of the large white crane in the upper right background? Format the answer as a continuous sequence of digits (e.g., 123).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.3995}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 51, "image": "ac750e7d-de93-4813-828d-409d16bd176b_png_jpg.rf.8ce341df035e51f25255571745407ba8.jpg", "expected": "Rev #1", "predicted": "Rev #1", "correct": true, "input_tokens": 1161, "output_tokens": 7, "elapsed_seconds": 3.2963823329191655, "metadata": {"question": "What is the handwritten text located at the top right corner of the page, above the \"OVERVIEW\" heading? Output the text exactly as written (e.g., Text #1).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.3197}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 52, "image": "f5be5818-9476-456d-be90-9636ea5b6baa_input-input-1775884904023-qoueoyinv_png_jpg.rf.bbf654b12e9dfcd3cdde57ef87b4b7d6.jpg", "expected": "510-795-6305", "predicted": "510-795-6305", "correct": true, "input_tokens": 1165, "output_tokens": 16, "elapsed_seconds": 2.532355082919821, "metadata": {"question": "What phone number is printed on the 'Fremont Hub' line below the bullseye logo? Format the answer exactly as a phone number with hyphens (e.g., 123-456-7890).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.5723}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 53, "image": "f5be5818-9476-456d-be90-9636ea5b6baa_input-input-1775884904023-qoueoyinv_png_jpg.rf.bbf654b12e9dfcd3cdde57ef87b4b7d6.jpg", "expected": "39201 Fremont Blvd", "predicted": "39201 Fremont Blvd", "correct": true, "input_tokens": 1151, "output_tokens": 11, "elapsed_seconds": 2.295979875023477, "metadata": {"question": "What street address is printed on the line below 'Fremont Hub'? Output the address exactly as printed (e.g., 12345 Main St).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.3343}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 54, "image": "f5be5818-9476-456d-be90-9636ea5b6baa_input-input-1775884904023-qoueoyinv_png_jpg.rf.bbf654b12e9dfcd3cdde57ef87b4b7d6.jpg", "expected": "01/16/2026", "predicted": "01/16/2026", "correct": true, "input_tokens": 1155, "output_tokens": 14, "elapsed_seconds": 3.512683290988207, "metadata": {"question": "What date is printed on the line directly above the barcode? Format the answer as MM/DD/YYYY (e.g., 04/05/2024).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.5533}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 55, "image": "f5be5818-9476-456d-be90-9636ea5b6baa_input-input-1775884904023-qoueoyinv_png_jpg.rf.bbf654b12e9dfcd3cdde57ef87b4b7d6.jpg", "expected": "$29.99", "predicted": "$29.99", "correct": true, "input_tokens": 1154, "output_tokens": 10, "elapsed_seconds": 4.083364416030236, "metadata": {"question": "What is the price listed for the \"BRITA ON TAP\" item in the KITCHEN section? Format the answer exactly as a dollar amount (e.g., $XX.XX).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.1229}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 56, "image": "f5be5818-9476-456d-be90-9636ea5b6baa_input-input-1775884904023-qoueoyinv_png_jpg.rf.bbf654b12e9dfcd3cdde57ef87b4b7d6.jpg", "expected": "245090218", "predicted": "245090218", "correct": true, "input_tokens": 1161, "output_tokens": 13, "elapsed_seconds": 5.73155649995897, "metadata": {"question": "What is the nine-digit item number printed to the left of \"BIOTRUE\"? Format the answer as a continuous sequence of digits (e.g., 890149100).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.7713}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 57, "image": "e6e06b1b-da53-41ac-bfdf-9316443ff037_png_jpg.rf.c1d6533563d5395cd9da770734324ce4.jpg", "expected": "31/3/24", "predicted": "31/3/24", "correct": true, "input_tokens": 1186, "output_tokens": 11, "elapsed_seconds": 4.357339833048172, "metadata": {"question": "What is the handwritten date written at the top left corner of the left page? Format the answer exactly as written (e.g., DD/M/YY).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.408}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 58, "image": "1a2826ae-6b4f-402d-871c-c99feec8673f_input-input-1773615096287-0i6s4vldj_png_jpg.rf.0bb97f973f3ca866a8ddeff16f4a9ab8.jpg", "expected": "4e63b-59184", "predicted": "4e63b-59184", "correct": true, "input_tokens": 1199, "output_tokens": 15, "elapsed_seconds": 2.5109002500539646, "metadata": {"question": "What is the first recovery code in the right column inside the dark code box? Format the answer as lowercase letters, digits, and a hyphen exactly as printed (e.g., ab123-cd456).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.5333}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 59, "image": "3250b041-2ce2-4500-a99d-6f95f5536be5_input-input-1779670032347-3m1xayuws_png_jpg.rf.f45bb85a65adb055ae0b0ce37334eb6d.jpg", "expected": "225/55 ZR 17", "predicted": "225/55 ZR 17", "correct": true, "input_tokens": 1165, "output_tokens": 14, "elapsed_seconds": 3.2784808330470696, "metadata": {"question": "What is the large tire-size marking beside the checkered-flag logo? Output the text exactly as printed, preserving spaces and symbols (e.g., 205/60 R 16).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.3516}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 60, "image": "04a7e555-066a-4662-be7d-1fab1d0a89bb_input-input-1773204169910-pu44i2o85_png_jpg.rf.f1ffe888c2d54063f42898d657dfa906.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1140, "output_tokens": 5, "elapsed_seconds": 2.5043008748907596, "metadata": {"question": "Which whole number on the dial is the needle of the main gauge pointing closest to? Output the answer as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.5816}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 61, "image": "9524ed4d-178c-4051-9357-7c560b07815a_png_jpg.rf.59849ff479e380b534b74d0addc8a4e5.jpg", "expected": "GBK9951P", "predicted": "GBK9951P", "correct": true, "input_tokens": 1162, "output_tokens": 11, "elapsed_seconds": 2.812347291968763, "metadata": {"question": "What is the license plate number on the vehicle? Format the answer as a continuous sequence of uppercase letters and digits with no spaces (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8481}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 62, "image": "4bd1305c-ba69-4b95-acbd-aeedcde5aeb5_input-input-1778614713022-g8ey7mf8j_png_jpg.rf.05583223686725fe6e962b4344e9fc7c.jpg", "expected": "2026-02-10 14:30:56", "predicted": "2026-02-10 14:30:56", "correct": true, "input_tokens": 1172, "output_tokens": 23, "elapsed_seconds": 4.007967458921485, "metadata": {"question": "What timestamp is overlaid near the top-right corner of the image? Output the timestamp exactly as printed.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.0496}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 63, "image": "2147a9a8-913a-4b7f-9b36-908eb54628d3_input-input-1771463083999-cj6damrec_png_jpg.rf.b1aa904aaf7b7942d731f9a9f25bc3e1.jpg", "expected": "06-28-2014", "predicted": "06-28-2014", "correct": true, "input_tokens": 1163, "output_tokens": 14, "elapsed_seconds": 2.6446615000022575, "metadata": {"question": "What is the exact date printed in the bottom left section of the receipt, just below the item count? Format the answer exactly as it appears in the image.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.689}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 64, "image": "2147a9a8-913a-4b7f-9b36-908eb54628d3_input-input-1771463083999-cj6damrec_png_jpg.rf.b1aa904aaf7b7942d731f9a9f25bc3e1.jpg", "expected": "3.79", "predicted": "3.79", "correct": true, "input_tokens": 1168, "output_tokens": 8, "elapsed_seconds": 3.7611289160558954, "metadata": {"question": "What is the numerical price listed in the right column for the item specifically named \"EGGS 1 DOZ ORGANIC BROWN.\"? Output the price as a decimal number without currency symbols.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.8064}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 65, "image": "2147a9a8-913a-4b7f-9b36-908eb54628d3_input-input-1771463083999-cj6damrec_png_jpg.rf.b1aa904aaf7b7942d731f9a9f25bc3e1.jpg", "expected": "$40.00", "predicted": "$40.00", "correct": true, "input_tokens": 1170, "output_tokens": 10, "elapsed_seconds": 3.6339422919554636, "metadata": {"question": "What is the exact cash amount tendered, printed directly to the right of the bold word \"CASH\" near the bottom of the receipt? Format the answer exactly as printed, including the dollar sign.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.6821}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 66, "image": "c1300d50-94fc-4081-b871-8338cef58e16_input-input-1778695950497-jbtexy630_png_jpg.rf.6fbb0636423109f2dfca5f2a22a6883a.jpg", "expected": "10:26", "predicted": "10:26", "correct": true, "input_tokens": 1190, "output_tokens": 9, "elapsed_seconds": 2.748385832994245, "metadata": {"question": "What is the time remaining in the period displayed in the center of the top scoreboard? Format the answer exactly as it appears on the screen (e.g., 12:34).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7883}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 67, "image": "c1300d50-94fc-4081-b871-8338cef58e16_input-input-1778695950497-jbtexy630_png_jpg.rf.6fbb0636423109f2dfca5f2a22a6883a.jpg", "expected": "53", "predicted": "53", "correct": true, "input_tokens": 1186, "output_tokens": 6, "elapsed_seconds": 2.3034309579525143, "metadata": {"question": "What is the total combined number of shots taken by both teams as displayed on the top scoreboard? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.3465}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 68, "image": "c1300d50-94fc-4081-b871-8338cef58e16_input-input-1778695950497-jbtexy630_png_jpg.rf.6fbb0636423109f2dfca5f2a22a6883a.jpg", "expected": "SEA 1 - TOR 1", "predicted": "SEA 1 - TOR 1", "correct": true, "input_tokens": 1189, "output_tokens": 11, "elapsed_seconds": 2.5473632919602096, "metadata": {"question": "What is the current score shown on the top scoreboard? Format your answer as ABC N - ABC N using the two team abbreviations (e.g., SEA 1 - TOR 2).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.5875}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 69, "image": "eeee1640-5005-460c-a3f3-12dfff951fc5_png_jpg.rf.648ce83a788a4eb5a650235397675f44.jpg", "expected": "PC5949A", "predicted": "PC5949A", "correct": true, "input_tokens": 1162, "output_tokens": 10, "elapsed_seconds": 3.571784249972552, "metadata": {"question": "What is the license plate number on the vehicle? Format the answer as a continuous sequence of uppercase letters and digits with no spaces (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.6174}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 70, "image": "93441566-50c0-4bfb-9a31-437a2bc5e4f2_png_jpg.rf.078ab0583bc75e5a47971dc175d8a0a3.jpg", "expected": "OP01-013", "predicted": "OP01-013", "correct": true, "input_tokens": 1191, "output_tokens": 11, "elapsed_seconds": 2.4031529169296846, "metadata": {"question": "What is the alphanumeric card code printed in the bottom right corner just before the block icon? Output the exact text as printed (e.g., \"OP02-001\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.4158}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 71, "image": "93441566-50c0-4bfb-9a31-437a2bc5e4f2_png_jpg.rf.078ab0583bc75e5a47971dc175d8a0a3.jpg", "expected": "3000", "predicted": "3000", "correct": true, "input_tokens": 1192, "output_tokens": 8, "elapsed_seconds": 2.9631886249408126, "metadata": {"question": "What power value is printed in the white box at the top-right corner of the card? Format the answer as a continuous sequence of digits (e.g., 7000).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.976}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 72, "image": "94f3adfa-0184-4872-8eb9-9f24e1a81a95_png_jpg.rf.2be986b2ba0f23bc57b7056a30d7423b.jpg", "expected": "1:26.0", "predicted": "1:26.0", "correct": true, "input_tokens": 1191, "output_tokens": 10, "elapsed_seconds": 2.9199982080608606, "metadata": {"question": "What lap time is shown in large white digits inside the center HAMILTON panel? Format the answer exactly as a time with a colon and decimal (e.g., 1:23.4).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.966}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 73, "image": "36e6af65-9cf0-4b16-b5b2-2dbf5d54ffae_input-input-1778190001786-w0937ikxt_png_jpg.rf.e59dce98ea670882a0a0bfb3e59730b2.jpg", "expected": "14", "predicted": "14", "correct": true, "input_tokens": 1173, "output_tokens": 6, "elapsed_seconds": 2.5925503749167547, "metadata": {"question": "What is the total number of empty ports on the white panel? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.6215}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 74, "image": "33299f4b-1857-4400-a31d-677ecd2c277a_input-input-1771415890481-7pfiombu0_png_jpg.rf.feabb125c41c69cf7d8c3aca315be50d.jpg", "expected": "12:07:56", "predicted": "12:07:56", "correct": true, "input_tokens": 1155, "output_tokens": 12, "elapsed_seconds": 2.842854500049725, "metadata": {"question": "What is the exact time displayed in the timestamp at the top left corner of the image? Format the answer exactly as HH:MM:SS.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9013}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 75, "image": "621387a6-d868-4912-90f1-7e8abd9df0c0_png_jpg.rf.a8276e972135e7eecb7d2d74936e608e.jpg", "expected": "TISSOT", "predicted": "TISSOT", "correct": true, "input_tokens": 1175, "output_tokens": 7, "elapsed_seconds": 3.0680096249561757, "metadata": {"question": "aahat brand name is printed upside-down in large letters in the lower half of the watch dial? Output the exact text as printed (e.g., ROLEX).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1638}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 76, "image": "621387a6-d868-4912-90f1-7e8abd9df0c0_png_jpg.rf.a8276e972135e7eecb7d2d74936e608e.jpg", "expected": "15", "predicted": "15", "correct": true, "input_tokens": 1178, "output_tokens": 6, "elapsed_seconds": 2.8941028750268742, "metadata": {"question": "What number is visible in the small date window near the upper-left edge of the blue dial? Format the answer as a continuous sequence of digits (e.g., 24).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.0061}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 77, "image": "0e9ddffb-4d1d-4c64-bfce-3e518dd1c8ae_input-input-1779391692177-bujnsi4tk_png_jpg.rf.36d93ac4b35d2ac11fcc66f37ebddb4b.jpg", "expected": "2 000111 111112", "predicted": "2 000111 111112", "correct": true, "input_tokens": 1144, "output_tokens": 19, "elapsed_seconds": 5.785661999951117, "metadata": {"question": "What is the sequence of digits printed directly alongside the barcode on the left side of the meter? Format the answer exactly as printed, including spaces.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.9065}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 78, "image": "9557f58e-ee73-4877-8bff-54aaa8bee062_input-input-1769507524173-1hzc9hfio_png_jpg.rf.a5376988f390a31b2c12912c07892281.jpg", "expected": "18", "predicted": "18", "correct": true, "input_tokens": 1174, "output_tokens": 6, "elapsed_seconds": 3.2156389580341056, "metadata": {"question": "What number is displayed clearly on the uppermost, flat face of the die? Output the answer as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.2758}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 79, "image": "f0c68933-64c5-49e6-8845-707afdc32a4e_input-input-1776058768062-tn8vkqrxk_png_jpg.rf.5d66532520dc17be0083a5fe2664c963.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1168, "output_tokens": 5, "elapsed_seconds": 2.826948541915044, "metadata": {"question": "What number is displayed in red on the digital indicator above the leftmost elevator doors? Output the exact digit (e.g., 5).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9046}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 80, "image": "f0c68933-64c5-49e6-8845-707afdc32a4e_input-input-1776058768062-tn8vkqrxk_png_jpg.rf.5d66532520dc17be0083a5fe2664c963.jpg", "expected": "14", "predicted": "14", "correct": true, "input_tokens": 1176, "output_tokens": 6, "elapsed_seconds": 5.355976540944539, "metadata": {"question": "What floor is this scene on, based on any floor signage or indicators visible in the image? Format the answer as a continuous sequence of digits (e.g., 5).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.4325}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 81, "image": "4409ba1c-5b55-47e4-8fb3-ed245021d0bb_input-input-1776892569933-6scj88bzo_png_jpg.rf.c5d4d0e67097acc2dc0e5a026f4d5514.jpg", "expected": "NEXT", "predicted": "NEXT", "correct": true, "input_tokens": 1143, "output_tokens": 5, "elapsed_seconds": 3.7565552920568734, "metadata": {"question": "What retailer name is printed in large letters near the left side of the receipt? Output the exact uppercase word (e.g., STORE).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.8326}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 82, "image": "4409ba1c-5b55-47e4-8fb3-ed245021d0bb_input-input-1776892569933-6scj88bzo_png_jpg.rf.c5d4d0e67097acc2dc0e5a026f4d5514.jpg", "expected": "0333 0055 512", "predicted": "0333 0055 512", "correct": true, "input_tokens": 1165, "output_tokens": 17, "elapsed_seconds": 3.116398499929346, "metadata": {"question": "What telephone number is printed on the line beginning with 'TEL' beneath 'London New Retail 0512'? Output the number exactly with spaces (e.g., 0123 4567 890).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1867}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 83, "image": "4409ba1c-5b55-47e4-8fb3-ed245021d0bb_input-input-1776892569933-6scj88bzo_png_jpg.rf.c5d4d0e67097acc2dc0e5a026f4d5514.jpg", "expected": "14 Mar 2026", "predicted": "14 Mar 2026", "correct": true, "input_tokens": 1155, "output_tokens": 12, "elapsed_seconds": 3.503226042026654, "metadata": {"question": "What calendar date is printed on the timestamp line beneath the TEL line? Output the date exactly as printed without the weekday or time (e.g., 01 Jan 2026).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.5772}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 84, "image": "4409ba1c-5b55-47e4-8fb3-ed245021d0bb_input-input-1776892569933-6scj88bzo_png_jpg.rf.c5d4d0e67097acc2dc0e5a026f4d5514.jpg", "expected": "\u00a397.00", "predicted": "\u00a397.00", "correct": true, "input_tokens": 1156, "output_tokens": 10, "elapsed_seconds": 3.40681266610045, "metadata": {"question": "What total refund amount is printed next to 'TOTAL REFUNDED TO ACCOUNT' in the middle of the receipt? Format the answer exactly as a pound amount (e.g., \u00a3XX.XX).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.4775}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 85, "image": "19f45907-d682-40cf-bb87-9133dc873871_input-input-1778506438615-gyarfruw4_png_jpg.rf.22e9fb7526b6b695a79118f2794a9ab3.jpg", "expected": "037156273", "predicted": "037156273", "correct": true, "input_tokens": 1191, "output_tokens": 13, "elapsed_seconds": 2.8161694580921903, "metadata": {"question": "What is the serial number printed directly after \"S/N:\" at the top of the meter? Format the answer as a continuous sequence of digits.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8388}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 86, "image": "1a8ee468-d168-4cec-bf83-881ad2853ed9_png_jpg.rf.02ee8e87c0ee9b2581f17ccbdb8fa702.jpg", "expected": "NYKU3687780", "predicted": "NYKU3687780", "correct": true, "input_tokens": 1159, "output_tokens": 13, "elapsed_seconds": 3.089291999931447, "metadata": {"question": "What is the vertical container identification code printed on the far left of the blue container? Format the answer as a continuous sequence of letters and numbers without spaces (e.g., ABCD1234567).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1565}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 87, "image": "1a8ee468-d168-4cec-bf83-881ad2853ed9_png_jpg.rf.02ee8e87c0ee9b2581f17ccbdb8fa702.jpg", "expected": "22G1", "predicted": "22G1", "correct": true, "input_tokens": 1148, "output_tokens": 8, "elapsed_seconds": 2.990663999924436, "metadata": {"question": "Which four-character code is printed vertically directly above the yellow height limit sign on the blue container? Output the code exactly as printed (e.g., ABCD).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.0592}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 88, "image": "ae20b44c-9be6-47a5-8002-2c417a2a2441_png_jpg.rf.d312136933cbfcb91483a2dfad0d53bd.jpg", "expected": "Sesame Seed", "predicted": "Sesame Seed", "correct": true, "input_tokens": 1165, "output_tokens": 7, "elapsed_seconds": 2.3339843340218067, "metadata": {"question": "What bold allergen name appears in the ingredients paragraph next to the word \"Paste\"? Output the text exactly as printed (e.g., Wheat).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.3445}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 89, "image": "ae20b44c-9be6-47a5-8002-2c417a2a2441_png_jpg.rf.d312136933cbfcb91483a2dfad0d53bd.jpg", "expected": "Per 1/4 pot", "predicted": "Per 1/4 pot", "correct": true, "input_tokens": 1176, "output_tokens": 10, "elapsed_seconds": 2.537760542007163, "metadata": {"question": "Which nutrition table header is immediately to the right of \"Per 100g\" in the row beneath \"NUTRITION\"? Output the text exactly as printed (e.g., Per item).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.5482}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 90, "image": "0212eb3d-e4b1-4ef4-9204-e920654bf677_input-input-1778110710064-oqhw5zz8j_png_jpg.rf.014217c55a8b2da0df65b97e042ed090.jpg", "expected": "$44.99", "predicted": "$44.99", "correct": true, "input_tokens": 1158, "output_tokens": 10, "elapsed_seconds": 3.450078667025082, "metadata": {"question": "What is the price displayed on the green \"Price Cut\" tag directly beneath the Four Roses Single Barrel on the top shelf? Format the answer exactly as a dollar amount (e.g., $XX.XX).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.5697}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 91, "image": "bab22192-40dc-46bd-b314-ea08adf480e4_input-input-1768993566899-f1f6n85t5_png_jpg.rf.e266ed38188402a2fd66c6ee3416a4f0.jpg", "expected": "250ml", "predicted": "250ml", "correct": true, "input_tokens": 1147, "output_tokens": 8, "elapsed_seconds": 3.3913171249441803, "metadata": {"question": "What capacity text is printed beneath the Fisherbrand logo on the right beaker? Output exactly with no added space (e.g., 100ml).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.472}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 92, "image": "bab22192-40dc-46bd-b314-ea08adf480e4_input-input-1768993566899-f1f6n85t5_png_jpg.rf.e266ed38188402a2fd66c6ee3416a4f0.jpg", "expected": "150ml", "predicted": "150 ml", "correct": true, "input_tokens": 1156, "output_tokens": 8, "elapsed_seconds": 2.5176127079175785, "metadata": {"question": "What is the liquid level in the leftmost beaker, as read from its printed measurement scale? Format the answer as a number followed by a space and ml (e.g., 100ml).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.6003}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 93, "image": "537aaf5f-ca39-4266-beec-32e4e9b2e3aa_png_jpg.rf.7a1f952bb873dc687f3b3f3d0dfe0301.jpg", "expected": "SLV3235L", "predicted": "SLV3235L", "correct": true, "input_tokens": 1167, "output_tokens": 11, "elapsed_seconds": 2.8722625829977915, "metadata": {"question": "What is the license plate number on the vehicle? Format the answer as a continuous sequence of uppercase letters and digits with no spaces (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8796}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 94, "image": "39fe721b-44c4-4a0c-aeac-2897520dfa68_input-input-1781394102861-00bvuicbi_png_jpg.rf.363242f15c7e98f02eea7cb38d065c13.jpg", "expected": "205/60 R 16", "predicted": "205/60 R 16", "correct": true, "input_tokens": 1166, "output_tokens": 14, "elapsed_seconds": 3.958189250086434, "metadata": {"question": "What is the large alphanumeric tire size sequence printed on the right side of the sidewall? Output the exact text including spaces and slashes.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.0356}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 95, "image": "0e4e059a-dffb-4d94-8827-06ec9a325906_input-input-1780878352625-ut880vj94_png_jpg.rf.bfa6b203688cdd30b56b2d4a213fe38e.jpg", "expected": "Brixx", "predicted": "Brixx", "correct": true, "input_tokens": 1159, "output_tokens": 7, "elapsed_seconds": 2.8999397080624476, "metadata": {"question": "What restaurant name is printed at the top center of the receipt? Output the text exactly as printed (e.g., Pizzeria Uno).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9189}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 96, "image": "0e4e059a-dffb-4d94-8827-06ec9a325906_input-input-1780878352625-ut880vj94_png_jpg.rf.bfa6b203688cdd30b56b2d4a213fe38e.jpg", "expected": "501 Meadowmont Village Circle", "predicted": "501 Meadowmont Village Circle", "correct": true, "input_tokens": 1164, "output_tokens": 11, "elapsed_seconds": 2.4388442089548334, "metadata": {"question": "What street address is printed directly beneath the \"Brixx\" heading? Output the address exactly as printed (e.g., 123 Main Street).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.4571}} diff --git a/results/extraction_gemini-4-argon-eap_low_20261012_223726.jsonl b/results/extraction_gemini-4-argon-eap_low_20261012_223726.jsonl deleted file mode 100644 index e85b362..0000000 --- a/results/extraction_gemini-4-argon-eap_low_20261012_223726.jsonl +++ /dev/null @@ -1,97 +0,0 @@ -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 0, "image": "9a8c8b2e-fb85-4a29-8a8e-c4d8e90a263c_input-input-1771415218745-lelho5crz_png_jpg.rf.c532e07f580fa8f33418c4e51767f52f.jpg", "expected": "10:27", "predicted": "10:27", "correct": true, "input_tokens": 1184, "output_tokens": 9, "elapsed_seconds": 4.9955497910268605, "metadata": {"question": "What is the time displayed in the top left corner of the dashboard? Format the answer exactly as it appears (e.g., 12:34).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.0984}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 1, "image": "9a8c8b2e-fb85-4a29-8a8e-c4d8e90a263c_input-input-1771415218745-lelho5crz_png_jpg.rf.c532e07f580fa8f33418c4e51767f52f.jpg", "expected": "7507 km", "predicted": "7507 km", "correct": true, "input_tokens": 1191, "output_tokens": 9, "elapsed_seconds": 4.400318457977846, "metadata": {"question": "What is the total odometer reading shown directly to the right of the 'P' gear indicator? Format the answer exactly as printed including the unit (e.g., 1234 km).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.493}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 2, "image": "9a8c8b2e-fb85-4a29-8a8e-c4d8e90a263c_input-input-1771415218745-lelho5crz_png_jpg.rf.c532e07f580fa8f33418c4e51767f52f.jpg", "expected": "20.5\u00b0C", "predicted": "20.5\u00b0C", "correct": true, "input_tokens": 1191, "output_tokens": 10, "elapsed_seconds": 4.0699114999733865, "metadata": {"question": "What is the temperature reading displayed in the top right corner of the dashboard? Format the answer exactly as printed including the degree symbol and unit (e.g., 22.0\u00b0C).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.1604}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 3, "image": "66bbef87-2e52-4a5a-8583-f52fbfa7465d_input-input-1778826066883-6t9qhnglh_png_jpg.rf.90a49214642ae3efbd28a7ef58d4a0d0.jpg", "expected": "$254", "predicted": "$254", "correct": true, "input_tokens": 1173, "output_tokens": 8, "elapsed_seconds": 2.5202345839934424, "metadata": {"question": "What is the total price for the Icon Room, explicitly stated to include taxes & fees? Output the answer exactly as printed, including the dollar sign.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.5605}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 4, "image": "66bbef87-2e52-4a5a-8583-f52fbfa7465d_input-input-1778826066883-6t9qhnglh_png_jpg.rf.90a49214642ae3efbd28a7ef58d4a0d0.jpg", "expected": "1500", "predicted": "1500", "correct": true, "input_tokens": 1183, "output_tokens": 8, "elapsed_seconds": 3.646538291941397, "metadata": {"question": "According to the \"Surroundings\" list on the right side of the page, what is the exact distance in feet to the Richmond Night Market? Output the answer as a single integer without units.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.6883}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 5, "image": "66bbef87-2e52-4a5a-8583-f52fbfa7465d_input-input-1778826066883-6t9qhnglh_png_jpg.rf.90a49214642ae3efbd28a7ef58d4a0d0.jpg", "expected": "9.1", "predicted": "9.1", "correct": true, "input_tokens": 1176, "output_tokens": 7, "elapsed_seconds": 2.823880249983631, "metadata": {"question": "What is the numerical customer review rating out of 10 displayed in the blue circle on the right side of the page? Output the answer as a decimal number.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8659}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 6, "image": "c9b00dcb-e093-43d9-baf8-f1971ff328af_input-input-1769103177177-3x5hfzwbp_png_jpg.rf.95edcd11e5d8724ab285b69ba52f6deb.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1143, "output_tokens": 5, "elapsed_seconds": 3.1679033329710364, "metadata": {"question": "What handwritten number appears near the upper left corner of the card? Format the answer as a single digit (e.g., 7).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.2214}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 7, "image": "c9b00dcb-e093-43d9-baf8-f1971ff328af_input-input-1769103177177-3x5hfzwbp_png_jpg.rf.95edcd11e5d8724ab285b69ba52f6deb.jpg", "expected": "G230", "predicted": "G230", "correct": true, "input_tokens": 1144, "output_tokens": 8, "elapsed_seconds": 2.641215958050452, "metadata": {"question": "What is the alphanumeric code printed on the tan half of the capsule? Output the exact text (e.g., \"A123\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.6966}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 8, "image": "f0d4c0bf-3a21-41a5-b0c2-c33b94feadb4_input-input-1771859752511-bk56l0pe1_png_jpg.rf.6c4ddb547fa7d14bea520ceb83d179fe.jpg", "expected": "63.490", "predicted": "63.490", "correct": true, "input_tokens": 1147, "output_tokens": 10, "elapsed_seconds": 7.391226417035796, "metadata": {"question": "What is the numerical value for the NET weight in LBS printed on the right door of the shipping container? Format the answer as a number including the decimal point.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.4942}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 9, "image": "f0d4c0bf-3a21-41a5-b0c2-c33b94feadb4_input-input-1771859752511-bk56l0pe1_png_jpg.rf.6c4ddb547fa7d14bea520ceb83d179fe.jpg", "expected": "TCKU 612608 6 45G1", "predicted": "TCKU 612608 6 45G1", "correct": true, "input_tokens": 1153, "output_tokens": 20, "elapsed_seconds": 3.8929531660396606, "metadata": {"question": "What is the complete two-line identification text printed in white on the upper right side of the container doors? Format the answer with a single space separating the top sequence from the bottom sequence.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.0017}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 10, "image": "f0d4c0bf-3a21-41a5-b0c2-c33b94feadb4_input-input-1771859752511-bk56l0pe1_png_jpg.rf.6c4ddb547fa7d14bea520ceb83d179fe.jpg", "expected": "2516510", "predicted": "2516390", "correct": false, "input_tokens": 1135, "output_tokens": 11, "elapsed_seconds": 3.8830969999544322, "metadata": {"question": "What is the license plate number on the trailer? Format the answer as a continuous sequence of digits.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 3.9823}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 11, "image": "c9dbd271-e8bd-4a4c-9d90-dcc53a4910f6_input-input-1776792452299-9guc9kcwh_png_jpg.rf.499be0493ce07a3ce99ad741b1087b71.jpg", "expected": "0.40", "predicted": "0.40", "correct": true, "input_tokens": 1177, "output_tokens": 8, "elapsed_seconds": 4.799591082963161, "metadata": {"question": "What time is shown on the left display of the red chess clock behind the board? Format the answer as a time with a colon (e.g., 1.23).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.8509}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 12, "image": "91b13b86-2929-4232-a4d1-a9a98420477e_png_jpg.rf.2d391bd85b3ed91712271a024089677e.jpg", "expected": "GZ808S", "predicted": "GZ808S", "correct": true, "input_tokens": 1172, "output_tokens": 9, "elapsed_seconds": 2.7254881659755483, "metadata": {"question": "What is the license plate number on the vehicle? Format the answer as a continuous sequence of uppercase letters and digits with no spaces (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7318}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 13, "image": "d2029347-fd3c-40be-8d89-b0e1abf64e9b_input-input-1781204084098-88xr6eavh_png_jpg.rf.21d8156058ed4f8ed2cffba4507eedee.jpg", "expected": "9CGN302", "predicted": "9CGN302", "correct": true, "input_tokens": 1152, "output_tokens": 10, "elapsed_seconds": 3.9211384580703452, "metadata": {"question": "What is the license plate number on the rear of the black SUV? Format the answer as a continuous sequence of uppercase letters and digits (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.9888}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 14, "image": "d2029347-fd3c-40be-8d89-b0e1abf64e9b_input-input-1781204084098-88xr6eavh_png_jpg.rf.21d8156058ed4f8ed2cffba4507eedee.jpg", "expected": "7WQV954", "predicted": "7WQV954", "correct": true, "input_tokens": 1156, "output_tokens": 10, "elapsed_seconds": 5.597362083964981, "metadata": {"question": "What is the license plate number on the rear of the grey car in the upper left? Format the answer as a continuous sequence of uppercase letters and digits (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.6648}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 15, "image": "d2029347-fd3c-40be-8d89-b0e1abf64e9b_input-input-1781204084098-88xr6eavh_png_jpg.rf.21d8156058ed4f8ed2cffba4507eedee.jpg", "expected": "YUKON", "predicted": "YUKON", "correct": true, "input_tokens": 1149, "output_tokens": 7, "elapsed_seconds": 3.4265729169128463, "metadata": {"question": "What text is written in silver letters on the lower left of the black SUV's tailgate? Output the exact text as printed (e.g., EXPLORER).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.494}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 16, "image": "020c3db8-dcc2-40e0-bf26-c874edb1612b_png_jpg.rf.a299e53bc85c66b204fae58e26a1e19b.jpg", "expected": "NCY1", "predicted": "NCY1", "correct": true, "input_tokens": 1178, "output_tokens": 7, "elapsed_seconds": 3.2630948750302196, "metadata": {"question": "What is the item code listed directly above 'CDMF' in the 'Item Code' column? Output the code exactly as printed in uppercase (e.g., ABCD).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.3185}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 17, "image": "41a7e177-1031-4d8e-bdee-eecbb1f0d240_input-input-1774997209388-d3qjo2hm2_png_jpg.rf.9a0e0f41aecab5811b006d59b42506db.jpg", "expected": "005708", "predicted": "005708", "correct": true, "input_tokens": 1169, "output_tokens": 10, "elapsed_seconds": 2.4244829999515787, "metadata": {"question": "What six-digit meter reading is shown in the black-framed LCD display? Format the answer as a continuous sequence of digits.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.4309}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 18, "image": "26584325-f95e-41e4-9f4b-99afc5ff078d_png_jpg.rf.30e30b60362db55140cd5874abc92899.jpg", "expected": "SIMONE KOVENSKY", "predicted": "SIMONE KOVENSKY", "correct": true, "input_tokens": 1152, "output_tokens": 10, "elapsed_seconds": 3.4633142920210958, "metadata": {"question": "What is the name written in the 'CLIENT:' field at the top right of the form? Output the name exactly as written in all capital letters (e.g., JOHN DOE).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.5428}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 19, "image": "c56ead6c-0697-4216-a27e-fbd28c19aaed_input-input-1781393738001-e3qhlmchi_png_jpg.rf.904ea3d34bf309c1a08a8147dd181e22.jpg", "expected": "225/65 R 17", "predicted": "225/65 R 17", "correct": true, "input_tokens": 1203, "output_tokens": 14, "elapsed_seconds": 5.09560249990318, "metadata": {"question": "What is the tire size printed directly to the right of the top-left \"MICHELIN\" brand name? Output the exact text as printed (e.g., 205/55 R 16).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.1395}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 20, "image": "c56ead6c-0697-4216-a27e-fbd28c19aaed_input-input-1781393738001-e3qhlmchi_png_jpg.rf.904ea3d34bf309c1a08a8147dd181e22.jpg", "expected": "POLAND", "predicted": "POLAND", "correct": true, "input_tokens": 1191, "output_tokens": 6, "elapsed_seconds": 4.175456750090234, "metadata": {"question": "What country is printed inside the oval directly below the words \"MADE IN\" on the bottom tire? Output the exact text as printed (e.g., GERMANY).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.2214}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 21, "image": "dce06136-2d24-422b-a3b6-e100c9a4bad1_input-input-1780992231793-0zf74ymfd_png_jpg.rf.d839d1c678628694e2bff03a7de7f25a.jpg", "expected": "1800 22 4020", "predicted": "1800 22 4020", "correct": true, "input_tokens": 1164, "output_tokens": 16, "elapsed_seconds": 5.7667388749541715, "metadata": {"question": "What phone number is printed after the line \"OR CALL US AT\"? Output the number exactly as printed, preserving spaces.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.8151}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 22, "image": "dce06136-2d24-422b-a3b6-e100c9a4bad1_input-input-1780992231793-0zf74ymfd_png_jpg.rf.d839d1c678628694e2bff03a7de7f25a.jpg", "expected": "8901491361026", "predicted": "8901491361026", "correct": true, "input_tokens": 1157, "output_tokens": 17, "elapsed_seconds": 5.33781745901797, "metadata": {"question": "What number is printed directly beneath the barcode on the package? Respond with digits only.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.3861}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 23, "image": "dce06136-2d24-422b-a3b6-e100c9a4bad1_input-input-1780992231793-0zf74ymfd_png_jpg.rf.d839d1c678628694e2bff03a7de7f25a.jpg", "expected": "558 kcal", "predicted": "558 kcal", "correct": true, "input_tokens": 1168, "output_tokens": 8, "elapsed_seconds": 3.85113874997478, "metadata": {"question": "In the nutritional information table, what is the Energy value per 100g? Respond with the number and unit exactly as shown.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.8993}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 24, "image": "145655c9-ac14-4dbb-8925-e2b81fb119e3_input-input-1778072520416-hq28k5crq_png_jpg.rf.4778c32b3806b491466ac777daff1840.jpg", "expected": "0176213", "predicted": "0176213", "correct": true, "input_tokens": 1150, "output_tokens": 11, "elapsed_seconds": 3.6797025409759954, "metadata": {"question": "What is the large, bold, seven digit number printed at the bottom right corner of the label attached to the metal shelf? Format the answer as a continuous sequence of digits.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.7473}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 25, "image": "145655c9-ac14-4dbb-8925-e2b81fb119e3_input-input-1778072520416-hq28k5crq_png_jpg.rf.4778c32b3806b491466ac777daff1840.jpg", "expected": "36", "predicted": "36", "correct": true, "input_tokens": 1142, "output_tokens": 6, "elapsed_seconds": 4.285972791956738, "metadata": {"question": "What is the total number of white PVC profile cross-sections visible in the entire stack? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.3527}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 26, "image": "47ad34a1-d784-48fd-bf0b-9814791703e3_input-input-1779422613724-1i91z3id8_png_jpg.rf.b05b9398755d107d94666106dd5d8aa8.jpg", "expected": "6315", "predicted": "6315", "correct": true, "input_tokens": 1169, "output_tokens": 8, "elapsed_seconds": 3.9290694589726627, "metadata": {"question": "What fleet number is printed on the rear window of the yellow bus at the right edge? Format the answer as a continuous sequence of digits (e.g., 1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.0039}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 27, "image": "47ad34a1-d784-48fd-bf0b-9814791703e3_input-input-1779422613724-1i91z3id8_png_jpg.rf.b05b9398755d107d94666106dd5d8aa8.jpg", "expected": "ZL 7237", "predicted": "ZL 7237", "correct": true, "input_tokens": 1168, "output_tokens": 10, "elapsed_seconds": 3.5866092909127474, "metadata": {"question": "What is the license plate number of the black SUV in the foreground right lane? Format the answer exactly as printed, including spaces (e.g., AB 1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.6634}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 28, "image": "cc68304c-144a-4975-a93a-d8efa85db6ed_input-input-1769095484858-rohdg9mmc_png_jpg.rf.378e0d7628c9899c5d343c8f700ca50b.jpg", "expected": "34", "predicted": "34", "correct": true, "input_tokens": 1170, "output_tokens": 6, "elapsed_seconds": 2.912318625021726, "metadata": {"question": "What is the large number displayed on the digital screen of the device? Output the exact number.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9691}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 29, "image": "d489f405-013e-4e8b-968a-1d9db2060050_png_jpg.rf.b6ede8915c0c026e32f0e8d070b1d247.jpg", "expected": "18", "predicted": "18", "correct": true, "input_tokens": 1170, "output_tokens": 6, "elapsed_seconds": 2.6830205420264974, "metadata": {"question": "What is the total quantity (QTY) of all items described as \"Air Filter\" in the DESCRIPTION column? Output the final sum as a single integer (e.g., 15).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7003}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 30, "image": "d0b99ce8-8a3b-4d1d-98d4-b34137b19f08_input-input-1768805031339-rs4dctz0p_png_jpg.rf.0b9ba7244c8f71c6879248740d0f2a0d.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1176, "output_tokens": 5, "elapsed_seconds": 3.5898582079680637, "metadata": {"question": "Counting rows from the top starting at 1, in which row is the green 'American Bankers Association' stamp located? Output the row number as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.6873}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 31, "image": "06072daf-424d-471e-a5cb-f8821cf88eb6_input-input-1772637869821-qu9ua1cb8_png_jpg.rf.dbc22b4330271e95f97fe41a59e1179c.jpg", "expected": "0.1", "predicted": "0.1", "correct": true, "input_tokens": 1165, "output_tokens": 7, "elapsed_seconds": 3.829978417023085, "metadata": {"question": "What is the exact numerical value listed for Trans Fat per 100g? Format the answer as a decimal number.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.8764}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 32, "image": "06072daf-424d-471e-a5cb-f8821cf88eb6_input-input-1772637869821-qu9ua1cb8_png_jpg.rf.dbc22b4330271e95f97fe41a59e1179c.jpg", "expected": "CONSUMER.FEEDBACK@PEPSICO.COM", "predicted": "CONSUMER.FEEDBACK@PEPSICO.COM", "correct": true, "input_tokens": 1160, "output_tokens": 14, "elapsed_seconds": 2.744783249916509, "metadata": {"question": "What is the email address provided for consumer feedback or queries? Output the email address exactly as printed.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7919}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 33, "image": "06072daf-424d-471e-a5cb-f8821cf88eb6_input-input-1772637869821-qu9ua1cb8_png_jpg.rf.dbc22b4330271e95f97fe41a59e1179c.jpg", "expected": "8901491001137", "predicted": "8901491001137", "correct": true, "input_tokens": 1165, "output_tokens": 17, "elapsed_seconds": 8.95775100006722, "metadata": {"question": "What is the 13-digit number printed directly below the barcode? Format the answer as a continuous sequence of digits.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.0055}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 34, "image": "5382e8f7-15f4-42a9-a54d-379a13cef073_input-input-1778848976488-hc2g5oq4u_png_jpg.rf.00a60ea7c1d1fe980ffa61040dbb248a.jpg", "expected": "13877350", "predicted": "13877350", "correct": true, "input_tokens": 1146, "output_tokens": 12, "elapsed_seconds": 4.214686791063286, "metadata": {"question": "What is the exact eight-digit number printed directly beneath the barcode in the top center \"Process Order\" section? Output the answer as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.3282}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 35, "image": "5382e8f7-15f4-42a9-a54d-379a13cef073_input-input-1778848976488-hc2g5oq4u_png_jpg.rf.00a60ea7c1d1fe980ffa61040dbb248a.jpg", "expected": "23:59:59", "predicted": "23:59:59", "correct": true, "input_tokens": 1146, "output_tokens": 12, "elapsed_seconds": 3.088480333914049, "metadata": {"question": "What is the precise time listed under \"Scheduled Finish\" in the Production Scheduler section? Format the answer exactly as it appears (HH:MM:SS)", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.2021}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 36, "image": "df23429e-5fcf-4520-b958-bc8eda842562_input-input-1779516894552-yx6kf3wwi_png_jpg.rf.162bd99f2b2cc0a242610ac878dada35.jpg", "expected": "000865491059", "predicted": "000865491059", "correct": true, "input_tokens": 1175, "output_tokens": 16, "elapsed_seconds": 4.245342124952003, "metadata": {"question": "What TIN is printed beside the QR code near the top right of the receipt? Format the answer as a continuous sequence of digits (e.g., 123456789012).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.3353}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 37, "image": "df23429e-5fcf-4520-b958-bc8eda842562_input-input-1779516894552-yx6kf3wwi_png_jpg.rf.162bd99f2b2cc0a242610ac878dada35.jpg", "expected": "GAX2354", "predicted": "GAX2354", "correct": true, "input_tokens": 1164, "output_tokens": 10, "elapsed_seconds": 3.37739854096435, "metadata": {"question": "What plate number is printed in large type under the 'PAYMENT DETAILS' header? Output the text exactly as printed (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.4683}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 38, "image": "df23429e-5fcf-4520-b958-bc8eda842562_input-input-1779516894552-yx6kf3wwi_png_jpg.rf.162bd99f2b2cc0a242610ac878dada35.jpg", "expected": "0760-000000202792", "predicted": "0760-000000202792", "correct": true, "input_tokens": 1186, "output_tokens": 21, "elapsed_seconds": 3.8579123329836875, "metadata": {"question": "What is the long number printed immediately to the right of the dark \"OFFICIAL RECEIPT\" box? Format the answer as a continuous sequence of digits and hyphens (e.g., 1234-000000123456).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.9508}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 39, "image": "1710a83d-1506-464e-83bf-f015141f1c37_input-input-1779171626146-78hoa3cju_png_jpg.rf.a4a6a3c3c8761b330dfe9cd2bc8a847a.jpg", "expected": "Thursday 22", "predicted": "Thursday 22", "correct": true, "input_tokens": 1183, "output_tokens": 8, "elapsed_seconds": 3.539499583072029, "metadata": {"question": "What is the specific day of the week and date highlighted with a solid blue background on the right side of the calendar grid? Format the answer exactly as \"[Day of week] [Date number]\".", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.5566}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 40, "image": "fc6e5e8d-4b33-4a20-a63a-96c0205ae8f6_png_jpg.rf.25fdc583a5ef5268cc575d85fb3c0924.jpg", "expected": "189300", "predicted": "189300", "correct": true, "input_tokens": 1185, "output_tokens": 10, "elapsed_seconds": 2.3896701670018956, "metadata": {"question": "What is the handwritten number written directly after \"R#\" at the bottom right corner of the page? Format the answer as a continuous sequence of digits (e.g., 123456).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.4201}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 41, "image": "76b25762-3b57-4158-9fab-945416165ada_png_jpg.rf.f417d6fc1ac47927bd5024452bf580e7.jpg", "expected": "#1123656-1", "predicted": "#1123656-1", "correct": true, "input_tokens": 1167, "output_tokens": 14, "elapsed_seconds": 3.0229980420554057, "metadata": {"question": "What is the check number printed directly below the date 'TUE JANUARY 20, 2026'? Format the answer exactly as printed, including the hash symbol and hyphen (e.g., #123456-7).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1463}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 42, "image": "c3f661e1-1ce5-4c6b-ba39-f052aa469ae2_input-input-1780892587755-2dtxi0at3_png_jpg.rf.2e59559f9c0a22eb34f879380e77c649.jpg", "expected": "Andrew Ainsley", "predicted": "Andrew Ainsley", "correct": true, "input_tokens": 1159, "output_tokens": 7, "elapsed_seconds": 2.499062583083287, "metadata": {"question": "What full name is shown beneath the 'Full Name' label? Output the text exactly as printed, preserving capitalization (e.g., Jane Doe).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.5156}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 43, "image": "c3f661e1-1ce5-4c6b-ba39-f052aa469ae2_input-input-1780892587755-2dtxi0at3_png_jpg.rf.2e59559f9c0a22eb34f879380e77c649.jpg", "expected": "+1-300-555-0399", "predicted": "+1-300-555-0399", "correct": true, "input_tokens": 1170, "output_tokens": 19, "elapsed_seconds": 2.19340300001204, "metadata": {"question": "What phone number is shown beneath the 'Phone Number' label? Output the phone number exactly as printed (e.g., +1-222-333-4444).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.2131}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 44, "image": "acc53733-7609-4a88-9125-d9671368e31c_png_jpg.rf.1ebb25f78d83e52eabcdf2422409904b.jpg", "expected": "1:31.396", "predicted": "1:31.396", "correct": true, "input_tokens": 1196, "output_tokens": 12, "elapsed_seconds": 3.9116443340899423, "metadata": {"question": "What is the lap time displayed next to the driver \"NOR\" at the top of the timing tower? Format the answer exactly as it appears on screen (e.g., 1:23.456).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.952}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 45, "image": "fc635714-9747-4562-934a-76a998f30986_input-input-1769516774340-ndngcy0b8_png_jpg.rf.69006b774b46928d96d99b793ff005ee.jpg", "expected": "09/2023", "predicted": "09/2023", "correct": true, "input_tokens": 1192, "output_tokens": 11, "elapsed_seconds": 2.9934019579086453, "metadata": {"question": "What is the date printed vertically along the left edge of the central blister pack? Format the answer exactly as it appears, including any punctuation (e.g., 12/2025).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.0461}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 46, "image": "25e6ed9c-2d37-4533-8021-977770aa97d1_input-input-1780691294811-oql9y0w9f_png_jpg.rf.c03fb5cccd8a068f05019d0a4d371fc7.jpg", "expected": "026", "predicted": "026", "correct": true, "input_tokens": 1179, "output_tokens": 7, "elapsed_seconds": 2.7446337920846418, "metadata": {"question": "What is the three-digit identification number printed on the white roof of the truck cab? Format the answer as a sequence of three digits.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7962}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 47, "image": "1ad1c779-b18f-4aaa-9cf0-6155cb19879b_input-input-1769444672197-ug2bdacps_png_jpg.rf.995e162e3e39f5709ab077e0fbe2798b.jpg", "expected": "03/2027", "predicted": "The expiration date stamped at the bottom right corner of the left blister pack is too blurry and low-resolution to be read with certainty. Please provide a clearer, higher-resolution close-up of the bottom edge of the blister pack so the stamped text can be accurately identified.", "correct": false, "input_tokens": 1164, "output_tokens": 59, "elapsed_seconds": 2.5847906249109656, "metadata": {"question": "What is the expiration date stamped at the bottom right corner of the left blister pack? Format the answer exactly as printed.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 2.6025}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 48, "image": "295f6019-a4f4-4a00-bb7b-6edfc37f54b6_input-input-1772410888497-d7tv6uegi_png_jpg.rf.efb04911d99ad83c1ce8d416c9966d16.jpg", "expected": "7811897358", "predicted": "7811897358", "correct": true, "input_tokens": 1138, "output_tokens": 14, "elapsed_seconds": 2.662199459038675, "metadata": {"question": "What is the NIP number printed near the top of the receipt? Format the answer as a continuous sequence of digits.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7643}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 49, "image": "21a6d806-d16e-4452-a2e3-7fa520bd671d_input-input-1769360430457-50a88jpis_png_jpg.rf.aa61306d9e54120882fabd13146cb148.jpg", "expected": "DIN 912 M8x25", "predicted": "DIN 912 M8x25", "correct": true, "input_tokens": 1151, "output_tokens": 14, "elapsed_seconds": 7.690103375003673, "metadata": {"question": "What is the exact text printed on the white label attached to the front of the middle plastic bin? Format the answer exactly as it appears in the image, preserving capitalization and spacing.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.8128}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 50, "image": "db35c41c-a9ed-41bc-96cf-60186d715477_input-input-1774653477270-a4j6j7v6e_png_jpg.rf.57d75a03d42f0fc2b1029367596197db.jpg", "expected": "218", "predicted": "218", "correct": true, "input_tokens": 1188, "output_tokens": 7, "elapsed_seconds": 2.763197415973991, "metadata": {"question": "What number is printed on the side of the large white crane in the upper right background? Format the answer as a continuous sequence of digits (e.g., 123).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8159}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 51, "image": "ac750e7d-de93-4813-828d-409d16bd176b_png_jpg.rf.8ce341df035e51f25255571745407ba8.jpg", "expected": "Rev #1", "predicted": "Rev #1", "correct": true, "input_tokens": 1161, "output_tokens": 7, "elapsed_seconds": 2.3259460841072723, "metadata": {"question": "What is the handwritten text located at the top right corner of the page, above the \"OVERVIEW\" heading? Output the text exactly as written (e.g., Text #1).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.3476}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 52, "image": "f5be5818-9476-456d-be90-9636ea5b6baa_input-input-1775884904023-qoueoyinv_png_jpg.rf.bbf654b12e9dfcd3cdde57ef87b4b7d6.jpg", "expected": "510-795-6305", "predicted": "510-795-6305", "correct": true, "input_tokens": 1165, "output_tokens": 16, "elapsed_seconds": 2.797090374981053, "metadata": {"question": "What phone number is printed on the 'Fremont Hub' line below the bullseye logo? Format the answer exactly as a phone number with hyphens (e.g., 123-456-7890).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8357}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 53, "image": "f5be5818-9476-456d-be90-9636ea5b6baa_input-input-1775884904023-qoueoyinv_png_jpg.rf.bbf654b12e9dfcd3cdde57ef87b4b7d6.jpg", "expected": "39201 Fremont Blvd", "predicted": "39201 Fremont Blvd", "correct": true, "input_tokens": 1151, "output_tokens": 11, "elapsed_seconds": 2.324122750083916, "metadata": {"question": "What street address is printed on the line below 'Fremont Hub'? Output the address exactly as printed (e.g., 12345 Main St).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.3648}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 54, "image": "f5be5818-9476-456d-be90-9636ea5b6baa_input-input-1775884904023-qoueoyinv_png_jpg.rf.bbf654b12e9dfcd3cdde57ef87b4b7d6.jpg", "expected": "01/16/2026", "predicted": "01/16/2026", "correct": true, "input_tokens": 1155, "output_tokens": 14, "elapsed_seconds": 2.8823799579404294, "metadata": {"question": "What date is printed on the line directly above the barcode? Format the answer as MM/DD/YYYY (e.g., 04/05/2024).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9195}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 55, "image": "f5be5818-9476-456d-be90-9636ea5b6baa_input-input-1775884904023-qoueoyinv_png_jpg.rf.bbf654b12e9dfcd3cdde57ef87b4b7d6.jpg", "expected": "$29.99", "predicted": "$29.99", "correct": true, "input_tokens": 1154, "output_tokens": 10, "elapsed_seconds": 2.6180745830060914, "metadata": {"question": "What is the price listed for the \"BRITA ON TAP\" item in the KITCHEN section? Format the answer exactly as a dollar amount (e.g., $XX.XX).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.6548}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 56, "image": "f5be5818-9476-456d-be90-9636ea5b6baa_input-input-1775884904023-qoueoyinv_png_jpg.rf.bbf654b12e9dfcd3cdde57ef87b4b7d6.jpg", "expected": "245090218", "predicted": "245090218", "correct": true, "input_tokens": 1161, "output_tokens": 13, "elapsed_seconds": 2.6685229579452425, "metadata": {"question": "What is the nine-digit item number printed to the left of \"BIOTRUE\"? Format the answer as a continuous sequence of digits (e.g., 890149100).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7058}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 57, "image": "e6e06b1b-da53-41ac-bfdf-9316443ff037_png_jpg.rf.c1d6533563d5395cd9da770734324ce4.jpg", "expected": "31/3/24", "predicted": "31/3/24", "correct": true, "input_tokens": 1186, "output_tokens": 11, "elapsed_seconds": 3.31298299995251, "metadata": {"question": "What is the handwritten date written at the top left corner of the left page? Format the answer exactly as written (e.g., DD/M/YY).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.3629}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 58, "image": "1a2826ae-6b4f-402d-871c-c99feec8673f_input-input-1773615096287-0i6s4vldj_png_jpg.rf.0bb97f973f3ca866a8ddeff16f4a9ab8.jpg", "expected": "4e63b-59184", "predicted": "4e63b-59184", "correct": true, "input_tokens": 1199, "output_tokens": 15, "elapsed_seconds": 2.947770875063725, "metadata": {"question": "What is the first recovery code in the right column inside the dark code box? Format the answer as lowercase letters, digits, and a hyphen exactly as printed (e.g., ab123-cd456).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9696}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 59, "image": "3250b041-2ce2-4500-a99d-6f95f5536be5_input-input-1779670032347-3m1xayuws_png_jpg.rf.f45bb85a65adb055ae0b0ce37334eb6d.jpg", "expected": "225/55 ZR 17", "predicted": "225/55 ZR 17", "correct": true, "input_tokens": 1165, "output_tokens": 14, "elapsed_seconds": 3.362960333004594, "metadata": {"question": "What is the large tire-size marking beside the checkered-flag logo? Output the text exactly as printed, preserving spaces and symbols (e.g., 205/60 R 16).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.4364}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 60, "image": "04a7e555-066a-4662-be7d-1fab1d0a89bb_input-input-1773204169910-pu44i2o85_png_jpg.rf.f1ffe888c2d54063f42898d657dfa906.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1140, "output_tokens": 5, "elapsed_seconds": 3.3934866250492632, "metadata": {"question": "Which whole number on the dial is the needle of the main gauge pointing closest to? Output the answer as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.471}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 61, "image": "9524ed4d-178c-4051-9357-7c560b07815a_png_jpg.rf.59849ff479e380b534b74d0addc8a4e5.jpg", "expected": "GBK9951P", "predicted": "GBK9951P", "correct": true, "input_tokens": 1162, "output_tokens": 11, "elapsed_seconds": 2.5050480409990996, "metadata": {"question": "What is the license plate number on the vehicle? Format the answer as a continuous sequence of uppercase letters and digits with no spaces (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.5359}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 62, "image": "4bd1305c-ba69-4b95-acbd-aeedcde5aeb5_input-input-1778614713022-g8ey7mf8j_png_jpg.rf.05583223686725fe6e962b4344e9fc7c.jpg", "expected": "2026-02-10 14:30:56", "predicted": "2026-02-10 14:30:56", "correct": true, "input_tokens": 1172, "output_tokens": 23, "elapsed_seconds": 3.4073970000026748, "metadata": {"question": "What timestamp is overlaid near the top-right corner of the image? Output the timestamp exactly as printed.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.4493}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 63, "image": "2147a9a8-913a-4b7f-9b36-908eb54628d3_input-input-1771463083999-cj6damrec_png_jpg.rf.b1aa904aaf7b7942d731f9a9f25bc3e1.jpg", "expected": "06-28-2014", "predicted": "06-28-2014", "correct": true, "input_tokens": 1163, "output_tokens": 14, "elapsed_seconds": 4.14589512499515, "metadata": {"question": "What is the exact date printed in the bottom left section of the receipt, just below the item count? Format the answer exactly as it appears in the image.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.1907}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 64, "image": "2147a9a8-913a-4b7f-9b36-908eb54628d3_input-input-1771463083999-cj6damrec_png_jpg.rf.b1aa904aaf7b7942d731f9a9f25bc3e1.jpg", "expected": "3.79", "predicted": "3.79", "correct": true, "input_tokens": 1168, "output_tokens": 8, "elapsed_seconds": 2.5872348330449313, "metadata": {"question": "What is the numerical price listed in the right column for the item specifically named \"EGGS 1 DOZ ORGANIC BROWN.\"? Output the price as a decimal number without currency symbols.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.6326}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 65, "image": "2147a9a8-913a-4b7f-9b36-908eb54628d3_input-input-1771463083999-cj6damrec_png_jpg.rf.b1aa904aaf7b7942d731f9a9f25bc3e1.jpg", "expected": "$40.00", "predicted": "$40.00", "correct": true, "input_tokens": 1170, "output_tokens": 10, "elapsed_seconds": 2.556109542027116, "metadata": {"question": "What is the exact cash amount tendered, printed directly to the right of the bold word \"CASH\" near the bottom of the receipt? Format the answer exactly as printed, including the dollar sign.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.6026}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 66, "image": "c1300d50-94fc-4081-b871-8338cef58e16_input-input-1778695950497-jbtexy630_png_jpg.rf.6fbb0636423109f2dfca5f2a22a6883a.jpg", "expected": "10:26", "predicted": "10:26", "correct": true, "input_tokens": 1190, "output_tokens": 9, "elapsed_seconds": 3.99430233403109, "metadata": {"question": "What is the time remaining in the period displayed in the center of the top scoreboard? Format the answer exactly as it appears on the screen (e.g., 12:34).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.0339}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 67, "image": "c1300d50-94fc-4081-b871-8338cef58e16_input-input-1778695950497-jbtexy630_png_jpg.rf.6fbb0636423109f2dfca5f2a22a6883a.jpg", "expected": "53", "predicted": "53", "correct": true, "input_tokens": 1186, "output_tokens": 6, "elapsed_seconds": 2.833661500015296, "metadata": {"question": "What is the total combined number of shots taken by both teams as displayed on the top scoreboard? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8733}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 68, "image": "c1300d50-94fc-4081-b871-8338cef58e16_input-input-1778695950497-jbtexy630_png_jpg.rf.6fbb0636423109f2dfca5f2a22a6883a.jpg", "expected": "SEA 1 - TOR 1", "predicted": "SEA 1 - TOR 1", "correct": true, "input_tokens": 1189, "output_tokens": 11, "elapsed_seconds": 2.716308208066039, "metadata": {"question": "What is the current score shown on the top scoreboard? Format your answer as ABC N - ABC N using the two team abbreviations (e.g., SEA 1 - TOR 2).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8257}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 69, "image": "eeee1640-5005-460c-a3f3-12dfff951fc5_png_jpg.rf.648ce83a788a4eb5a650235397675f44.jpg", "expected": "PC5949A", "predicted": "PC5949A", "correct": true, "input_tokens": 1162, "output_tokens": 10, "elapsed_seconds": 2.511347541003488, "metadata": {"question": "What is the license plate number on the vehicle? Format the answer as a continuous sequence of uppercase letters and digits with no spaces (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.5595}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 70, "image": "93441566-50c0-4bfb-9a31-437a2bc5e4f2_png_jpg.rf.078ab0583bc75e5a47971dc175d8a0a3.jpg", "expected": "OP01-013", "predicted": "OP01-013", "correct": true, "input_tokens": 1191, "output_tokens": 11, "elapsed_seconds": 2.6856079580029473, "metadata": {"question": "What is the alphanumeric card code printed in the bottom right corner just before the block icon? Output the exact text as printed (e.g., \"OP02-001\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.6988}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 71, "image": "93441566-50c0-4bfb-9a31-437a2bc5e4f2_png_jpg.rf.078ab0583bc75e5a47971dc175d8a0a3.jpg", "expected": "3000", "predicted": "3000", "correct": true, "input_tokens": 1192, "output_tokens": 8, "elapsed_seconds": 2.2405654590111226, "metadata": {"question": "What power value is printed in the white box at the top-right corner of the card? Format the answer as a continuous sequence of digits (e.g., 7000).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.2534}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 72, "image": "94f3adfa-0184-4872-8eb9-9f24e1a81a95_png_jpg.rf.2be986b2ba0f23bc57b7056a30d7423b.jpg", "expected": "1:26.0", "predicted": "1:26.0", "correct": true, "input_tokens": 1191, "output_tokens": 10, "elapsed_seconds": 2.8276826669462025, "metadata": {"question": "What lap time is shown in large white digits inside the center HAMILTON panel? Format the answer exactly as a time with a colon and decimal (e.g., 1:23.4).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8744}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 73, "image": "36e6af65-9cf0-4b16-b5b2-2dbf5d54ffae_input-input-1778190001786-w0937ikxt_png_jpg.rf.e59dce98ea670882a0a0bfb3e59730b2.jpg", "expected": "14", "predicted": "14", "correct": true, "input_tokens": 1173, "output_tokens": 6, "elapsed_seconds": 2.6893779159290716, "metadata": {"question": "What is the total number of empty ports on the white panel? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7182}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 74, "image": "33299f4b-1857-4400-a31d-677ecd2c277a_input-input-1771415890481-7pfiombu0_png_jpg.rf.feabb125c41c69cf7d8c3aca315be50d.jpg", "expected": "12:07:56", "predicted": "12:07:56", "correct": true, "input_tokens": 1155, "output_tokens": 12, "elapsed_seconds": 2.8533158749341965, "metadata": {"question": "What is the exact time displayed in the timestamp at the top left corner of the image? Format the answer exactly as HH:MM:SS.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9142}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 75, "image": "621387a6-d868-4912-90f1-7e8abd9df0c0_png_jpg.rf.a8276e972135e7eecb7d2d74936e608e.jpg", "expected": "TISSOT", "predicted": "TISSOT", "correct": true, "input_tokens": 1175, "output_tokens": 7, "elapsed_seconds": 4.011843209038489, "metadata": {"question": "aahat brand name is printed upside-down in large letters in the lower half of the watch dial? Output the exact text as printed (e.g., ROLEX).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.1083}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 76, "image": "621387a6-d868-4912-90f1-7e8abd9df0c0_png_jpg.rf.a8276e972135e7eecb7d2d74936e608e.jpg", "expected": "15", "predicted": "15", "correct": true, "input_tokens": 1178, "output_tokens": 6, "elapsed_seconds": 2.786089958040975, "metadata": {"question": "What number is visible in the small date window near the upper-left edge of the blue dial? Format the answer as a continuous sequence of digits (e.g., 24).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8843}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 77, "image": "0e9ddffb-4d1d-4c64-bfce-3e518dd1c8ae_input-input-1779391692177-bujnsi4tk_png_jpg.rf.36d93ac4b35d2ac11fcc66f37ebddb4b.jpg", "expected": "2 000111 111112", "predicted": "2 000111 111112", "correct": true, "input_tokens": 1144, "output_tokens": 19, "elapsed_seconds": 6.233003624947742, "metadata": {"question": "What is the sequence of digits printed directly alongside the barcode on the left side of the meter? Format the answer exactly as printed, including spaces.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.3579}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 78, "image": "9557f58e-ee73-4877-8bff-54aaa8bee062_input-input-1769507524173-1hzc9hfio_png_jpg.rf.a5376988f390a31b2c12912c07892281.jpg", "expected": "18", "predicted": "18", "correct": true, "input_tokens": 1174, "output_tokens": 6, "elapsed_seconds": 2.8723991670412943, "metadata": {"question": "What number is displayed clearly on the uppermost, flat face of the die? Output the answer as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9299}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 79, "image": "f0c68933-64c5-49e6-8845-707afdc32a4e_input-input-1776058768062-tn8vkqrxk_png_jpg.rf.5d66532520dc17be0083a5fe2664c963.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1168, "output_tokens": 5, "elapsed_seconds": 7.35866737505421, "metadata": {"question": "What number is displayed in red on the digital indicator above the leftmost elevator doors? Output the exact digit (e.g., 5).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.4345}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 80, "image": "f0c68933-64c5-49e6-8845-707afdc32a4e_input-input-1776058768062-tn8vkqrxk_png_jpg.rf.5d66532520dc17be0083a5fe2664c963.jpg", "expected": "14", "predicted": "14", "correct": true, "input_tokens": 1176, "output_tokens": 6, "elapsed_seconds": 6.814611207926646, "metadata": {"question": "What floor is this scene on, based on any floor signage or indicators visible in the image? Format the answer as a continuous sequence of digits (e.g., 5).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.8896}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 81, "image": "4409ba1c-5b55-47e4-8fb3-ed245021d0bb_input-input-1776892569933-6scj88bzo_png_jpg.rf.c5d4d0e67097acc2dc0e5a026f4d5514.jpg", "expected": "NEXT", "predicted": "NEXT", "correct": true, "input_tokens": 1143, "output_tokens": 5, "elapsed_seconds": 2.537885917001404, "metadata": {"question": "What retailer name is printed in large letters near the left side of the receipt? Output the exact uppercase word (e.g., STORE).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.6096}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 82, "image": "4409ba1c-5b55-47e4-8fb3-ed245021d0bb_input-input-1776892569933-6scj88bzo_png_jpg.rf.c5d4d0e67097acc2dc0e5a026f4d5514.jpg", "expected": "0333 0055 512", "predicted": "0333 0055 512", "correct": true, "input_tokens": 1165, "output_tokens": 17, "elapsed_seconds": 4.523415667004883, "metadata": {"question": "What telephone number is printed on the line beginning with 'TEL' beneath 'London New Retail 0512'? Output the number exactly with spaces (e.g., 0123 4567 890).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.6007}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 83, "image": "4409ba1c-5b55-47e4-8fb3-ed245021d0bb_input-input-1776892569933-6scj88bzo_png_jpg.rf.c5d4d0e67097acc2dc0e5a026f4d5514.jpg", "expected": "14 Mar 2026", "predicted": "14 Mar 2026", "correct": true, "input_tokens": 1155, "output_tokens": 12, "elapsed_seconds": 3.403554833959788, "metadata": {"question": "What calendar date is printed on the timestamp line beneath the TEL line? Output the date exactly as printed without the weekday or time (e.g., 01 Jan 2026).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.4733}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 84, "image": "4409ba1c-5b55-47e4-8fb3-ed245021d0bb_input-input-1776892569933-6scj88bzo_png_jpg.rf.c5d4d0e67097acc2dc0e5a026f4d5514.jpg", "expected": "\u00a397.00", "predicted": "\u00a397.00", "correct": true, "input_tokens": 1156, "output_tokens": 10, "elapsed_seconds": 2.848933208035305, "metadata": {"question": "What total refund amount is printed next to 'TOTAL REFUNDED TO ACCOUNT' in the middle of the receipt? Format the answer exactly as a pound amount (e.g., \u00a3XX.XX).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9224}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 85, "image": "19f45907-d682-40cf-bb87-9133dc873871_input-input-1778506438615-gyarfruw4_png_jpg.rf.22e9fb7526b6b695a79118f2794a9ab3.jpg", "expected": "037156273", "predicted": "037156273", "correct": true, "input_tokens": 1191, "output_tokens": 13, "elapsed_seconds": 2.236805042019114, "metadata": {"question": "What is the serial number printed directly after \"S/N:\" at the top of the meter? Format the answer as a continuous sequence of digits.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.258}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 86, "image": "1a8ee468-d168-4cec-bf83-881ad2853ed9_png_jpg.rf.02ee8e87c0ee9b2581f17ccbdb8fa702.jpg", "expected": "NYKU3687780", "predicted": "NYKU3687780", "correct": true, "input_tokens": 1159, "output_tokens": 13, "elapsed_seconds": 3.114250458078459, "metadata": {"question": "What is the vertical container identification code printed on the far left of the blue container? Format the answer as a continuous sequence of letters and numbers without spaces (e.g., ABCD1234567).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1843}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 87, "image": "1a8ee468-d168-4cec-bf83-881ad2853ed9_png_jpg.rf.02ee8e87c0ee9b2581f17ccbdb8fa702.jpg", "expected": "22G1", "predicted": "22G1", "correct": true, "input_tokens": 1148, "output_tokens": 8, "elapsed_seconds": 3.1836238340474665, "metadata": {"question": "Which four-character code is printed vertically directly above the yellow height limit sign on the blue container? Output the code exactly as printed (e.g., ABCD).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.2506}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 88, "image": "ae20b44c-9be6-47a5-8002-2c417a2a2441_png_jpg.rf.d312136933cbfcb91483a2dfad0d53bd.jpg", "expected": "Sesame Seed", "predicted": "Sesame Seed", "correct": true, "input_tokens": 1165, "output_tokens": 7, "elapsed_seconds": 2.7369707920588553, "metadata": {"question": "What bold allergen name appears in the ingredients paragraph next to the word \"Paste\"? Output the text exactly as printed (e.g., Wheat).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7506}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 89, "image": "ae20b44c-9be6-47a5-8002-2c417a2a2441_png_jpg.rf.d312136933cbfcb91483a2dfad0d53bd.jpg", "expected": "Per 1/4 pot", "predicted": "Per 1/4 pot", "correct": true, "input_tokens": 1176, "output_tokens": 10, "elapsed_seconds": 2.387629665900022, "metadata": {"question": "Which nutrition table header is immediately to the right of \"Per 100g\" in the row beneath \"NUTRITION\"? Output the text exactly as printed (e.g., Per item).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.3988}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 90, "image": "0212eb3d-e4b1-4ef4-9204-e920654bf677_input-input-1778110710064-oqhw5zz8j_png_jpg.rf.014217c55a8b2da0df65b97e042ed090.jpg", "expected": "$44.99", "predicted": "$44.99", "correct": true, "input_tokens": 1158, "output_tokens": 10, "elapsed_seconds": 3.9211650830693543, "metadata": {"question": "What is the price displayed on the green \"Price Cut\" tag directly beneath the Four Roses Single Barrel on the top shelf? Format the answer exactly as a dollar amount (e.g., $XX.XX).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.0402}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 91, "image": "bab22192-40dc-46bd-b314-ea08adf480e4_input-input-1768993566899-f1f6n85t5_png_jpg.rf.e266ed38188402a2fd66c6ee3416a4f0.jpg", "expected": "250ml", "predicted": "250ml", "correct": true, "input_tokens": 1147, "output_tokens": 8, "elapsed_seconds": 2.644685000064783, "metadata": {"question": "What capacity text is printed beneath the Fisherbrand logo on the right beaker? Output exactly with no added space (e.g., 100ml).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7271}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 92, "image": "bab22192-40dc-46bd-b314-ea08adf480e4_input-input-1768993566899-f1f6n85t5_png_jpg.rf.e266ed38188402a2fd66c6ee3416a4f0.jpg", "expected": "150ml", "predicted": "150 ml", "correct": true, "input_tokens": 1156, "output_tokens": 8, "elapsed_seconds": 2.597006708965637, "metadata": {"question": "What is the liquid level in the leftmost beaker, as read from its printed measurement scale? Format the answer as a number followed by a space and ml (e.g., 100ml).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.6801}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 93, "image": "537aaf5f-ca39-4266-beec-32e4e9b2e3aa_png_jpg.rf.7a1f952bb873dc687f3b3f3d0dfe0301.jpg", "expected": "SLV3235L", "predicted": "SLV3235L", "correct": true, "input_tokens": 1167, "output_tokens": 11, "elapsed_seconds": 2.4125704169273376, "metadata": {"question": "What is the license plate number on the vehicle? Format the answer as a continuous sequence of uppercase letters and digits with no spaces (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.4182}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 94, "image": "39fe721b-44c4-4a0c-aeac-2897520dfa68_input-input-1781394102861-00bvuicbi_png_jpg.rf.363242f15c7e98f02eea7cb38d065c13.jpg", "expected": "205/60 R 16", "predicted": "205/60 R 16", "correct": true, "input_tokens": 1166, "output_tokens": 14, "elapsed_seconds": 3.562446334050037, "metadata": {"question": "What is the large alphanumeric tire size sequence printed on the right side of the sidewall? Output the exact text including spaces and slashes.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.6402}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 95, "image": "0e4e059a-dffb-4d94-8827-06ec9a325906_input-input-1780878352625-ut880vj94_png_jpg.rf.bfa6b203688cdd30b56b2d4a213fe38e.jpg", "expected": "Brixx", "predicted": "Brixx", "correct": true, "input_tokens": 1159, "output_tokens": 7, "elapsed_seconds": 2.7586353339720517, "metadata": {"question": "What restaurant name is printed at the top center of the receipt? Output the text exactly as printed (e.g., Pizzeria Uno).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7726}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 96, "image": "0e4e059a-dffb-4d94-8827-06ec9a325906_input-input-1780878352625-ut880vj94_png_jpg.rf.bfa6b203688cdd30b56b2d4a213fe38e.jpg", "expected": "501 Meadowmont Village Circle", "predicted": "501 Meadowmont Village Circle", "correct": true, "input_tokens": 1164, "output_tokens": 11, "elapsed_seconds": 4.501146459020674, "metadata": {"question": "What street address is printed directly beneath the \"Brixx\" heading? Output the address exactly as printed (e.g., 123 Main Street).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.515}} diff --git a/results/extraction_gemini-4-argon_high_20261013_071307.jsonl b/results/extraction_gemini-4-argon_high_20261013_071307.jsonl new file mode 100644 index 0000000..c0b93bc --- /dev/null +++ b/results/extraction_gemini-4-argon_high_20261013_071307.jsonl @@ -0,0 +1,97 @@ +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 0, "image": "9a8c8b2e-fb85-4a29-8a8e-c4d8e90a263c_input-input-1771415218745-lelho5crz_png_jpg.rf.c532e07f580fa8f33418c4e51767f52f.jpg", "expected": "10:27", "predicted": "10:27", "correct": true, "input_tokens": 1184, "output_tokens": 417, "elapsed_seconds": 24.822358084027655, "metadata": {"question": "What is the time displayed in the top left corner of the dashboard? Format the answer exactly as it appears (e.g., 12:34).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 24.9149}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 1, "image": "9a8c8b2e-fb85-4a29-8a8e-c4d8e90a263c_input-input-1771415218745-lelho5crz_png_jpg.rf.c532e07f580fa8f33418c4e51767f52f.jpg", "expected": "7507 km", "predicted": "7507 km", "correct": true, "input_tokens": 1191, "output_tokens": 108, "elapsed_seconds": 25.329344957950525, "metadata": {"question": "What is the total odometer reading shown directly to the right of the 'P' gear indicator? Format the answer exactly as printed including the unit (e.g., 1234 km).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 25.4217}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 2, "image": "9a8c8b2e-fb85-4a29-8a8e-c4d8e90a263c_input-input-1771415218745-lelho5crz_png_jpg.rf.c532e07f580fa8f33418c4e51767f52f.jpg", "expected": "20.5\u00b0C", "predicted": "20.5\u00b0C", "correct": true, "input_tokens": 1191, "output_tokens": 149, "elapsed_seconds": 5.831761375069618, "metadata": {"question": "What is the temperature reading displayed in the top right corner of the dashboard? Format the answer exactly as printed including the degree symbol and unit (e.g., 22.0\u00b0C).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.9207}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 3, "image": "66bbef87-2e52-4a5a-8583-f52fbfa7465d_input-input-1778826066883-6t9qhnglh_png_jpg.rf.90a49214642ae3efbd28a7ef58d4a0d0.jpg", "expected": "$254", "predicted": "$254", "correct": true, "input_tokens": 1173, "output_tokens": 302, "elapsed_seconds": 6.8984232500661165, "metadata": {"question": "What is the total price for the Icon Room, explicitly stated to include taxes & fees? Output the answer exactly as printed, including the dollar sign.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.9417}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 4, "image": "66bbef87-2e52-4a5a-8583-f52fbfa7465d_input-input-1778826066883-6t9qhnglh_png_jpg.rf.90a49214642ae3efbd28a7ef58d4a0d0.jpg", "expected": "1500", "predicted": "1500", "correct": true, "input_tokens": 1183, "output_tokens": 338, "elapsed_seconds": 5.576404083985835, "metadata": {"question": "According to the \"Surroundings\" list on the right side of the page, what is the exact distance in feet to the Richmond Night Market? Output the answer as a single integer without units.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.6206}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 5, "image": "66bbef87-2e52-4a5a-8583-f52fbfa7465d_input-input-1778826066883-6t9qhnglh_png_jpg.rf.90a49214642ae3efbd28a7ef58d4a0d0.jpg", "expected": "9.1", "predicted": "9.1", "correct": true, "input_tokens": 1176, "output_tokens": 165, "elapsed_seconds": 5.247587000019848, "metadata": {"question": "What is the numerical customer review rating out of 10 displayed in the blue circle on the right side of the page? Output the answer as a decimal number.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.2912}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 6, "image": "c9b00dcb-e093-43d9-baf8-f1971ff328af_input-input-1769103177177-3x5hfzwbp_png_jpg.rf.95edcd11e5d8724ab285b69ba52f6deb.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1143, "output_tokens": 299, "elapsed_seconds": 7.378643458010629, "metadata": {"question": "What handwritten number appears near the upper left corner of the card? Format the answer as a single digit (e.g., 7).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.4307}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 7, "image": "c9b00dcb-e093-43d9-baf8-f1971ff328af_input-input-1769103177177-3x5hfzwbp_png_jpg.rf.95edcd11e5d8724ab285b69ba52f6deb.jpg", "expected": "G230", "predicted": "G230", "correct": true, "input_tokens": 1144, "output_tokens": 566, "elapsed_seconds": 8.734252625028603, "metadata": {"question": "What is the alphanumeric code printed on the tan half of the capsule? Output the exact text (e.g., \"A123\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.7894}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 8, "image": "f0d4c0bf-3a21-41a5-b0c2-c33b94feadb4_input-input-1771859752511-bk56l0pe1_png_jpg.rf.6c4ddb547fa7d14bea520ceb83d179fe.jpg", "expected": "63.490", "predicted": "63.490", "correct": true, "input_tokens": 1147, "output_tokens": 241, "elapsed_seconds": 20.32053124997765, "metadata": {"question": "What is the numerical value for the NET weight in LBS printed on the right door of the shipping container? Format the answer as a number including the decimal point.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 20.4228}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 9, "image": "f0d4c0bf-3a21-41a5-b0c2-c33b94feadb4_input-input-1771859752511-bk56l0pe1_png_jpg.rf.6c4ddb547fa7d14bea520ceb83d179fe.jpg", "expected": "TCKU 612608 6 45G1", "predicted": "TCKU 612608 6 45G1", "correct": true, "input_tokens": 1153, "output_tokens": 1138, "elapsed_seconds": 23.615497792023234, "metadata": {"question": "What is the complete two-line identification text printed in white on the upper right side of the container doors? Format the answer with a single space separating the top sequence from the bottom sequence.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 23.7144}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 10, "image": "f0d4c0bf-3a21-41a5-b0c2-c33b94feadb4_input-input-1771859752511-bk56l0pe1_png_jpg.rf.6c4ddb547fa7d14bea520ceb83d179fe.jpg", "expected": "2516510", "predicted": "2518330", "correct": false, "input_tokens": 1135, "output_tokens": 17362, "elapsed_seconds": 168.01681912492495, "metadata": {"question": "What is the license plate number on the trailer? Format the answer as a continuous sequence of digits.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 168.0938}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 11, "image": "c9dbd271-e8bd-4a4c-9d90-dcc53a4910f6_input-input-1776792452299-9guc9kcwh_png_jpg.rf.499be0493ce07a3ce99ad741b1087b71.jpg", "expected": "0.40", "predicted": "0.40", "correct": true, "input_tokens": 1177, "output_tokens": 1140, "elapsed_seconds": 28.42034862493165, "metadata": {"question": "What time is shown on the left display of the red chess clock behind the board? Format the answer as a time with a colon (e.g., 1.23).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 28.4719}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 12, "image": "91b13b86-2929-4232-a4d1-a9a98420477e_png_jpg.rf.2d391bd85b3ed91712271a024089677e.jpg", "expected": "GZ808S", "predicted": "GZ808S", "correct": true, "input_tokens": 1172, "output_tokens": 372, "elapsed_seconds": 6.387516334070824, "metadata": {"question": "What is the license plate number on the vehicle? Format the answer as a continuous sequence of uppercase letters and digits with no spaces (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.3938}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 13, "image": "d2029347-fd3c-40be-8d89-b0e1abf64e9b_input-input-1781204084098-88xr6eavh_png_jpg.rf.21d8156058ed4f8ed2cffba4507eedee.jpg", "expected": "9CGN302", "predicted": "9CGN302", "correct": true, "input_tokens": 1152, "output_tokens": 249, "elapsed_seconds": 11.129749292042106, "metadata": {"question": "What is the license plate number on the rear of the black SUV? Format the answer as a continuous sequence of uppercase letters and digits (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.1957}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 14, "image": "d2029347-fd3c-40be-8d89-b0e1abf64e9b_input-input-1781204084098-88xr6eavh_png_jpg.rf.21d8156058ed4f8ed2cffba4507eedee.jpg", "expected": "7WQV954", "predicted": "7WQV954", "correct": true, "input_tokens": 1156, "output_tokens": 534, "elapsed_seconds": 12.258828374906443, "metadata": {"question": "What is the license plate number on the rear of the grey car in the upper left? Format the answer as a continuous sequence of uppercase letters and digits (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 12.3257}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 15, "image": "d2029347-fd3c-40be-8d89-b0e1abf64e9b_input-input-1781204084098-88xr6eavh_png_jpg.rf.21d8156058ed4f8ed2cffba4507eedee.jpg", "expected": "YUKON", "predicted": "YUKON", "correct": true, "input_tokens": 1149, "output_tokens": 286, "elapsed_seconds": 6.24232254200615, "metadata": {"question": "What text is written in silver letters on the lower left of the black SUV's tailgate? Output the exact text as printed (e.g., EXPLORER).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.3134}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 16, "image": "020c3db8-dcc2-40e0-bf26-c874edb1612b_png_jpg.rf.a299e53bc85c66b204fae58e26a1e19b.jpg", "expected": "NCY1", "predicted": "NCY1", "correct": true, "input_tokens": 1178, "output_tokens": 265, "elapsed_seconds": 5.966806959011592, "metadata": {"question": "What is the item code listed directly above 'CDMF' in the 'Item Code' column? Output the code exactly as printed in uppercase (e.g., ABCD).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.0223}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 17, "image": "41a7e177-1031-4d8e-bdee-eecbb1f0d240_input-input-1774997209388-d3qjo2hm2_png_jpg.rf.9a0e0f41aecab5811b006d59b42506db.jpg", "expected": "005708", "predicted": "005708", "correct": true, "input_tokens": 1169, "output_tokens": 342, "elapsed_seconds": 5.1372573339613155, "metadata": {"question": "What six-digit meter reading is shown in the black-framed LCD display? Format the answer as a continuous sequence of digits.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.1462}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 18, "image": "26584325-f95e-41e4-9f4b-99afc5ff078d_png_jpg.rf.30e30b60362db55140cd5874abc92899.jpg", "expected": "SIMONE KOVENSKY", "predicted": "SIMONE KOVENSKY", "correct": true, "input_tokens": 1152, "output_tokens": 286, "elapsed_seconds": 12.839630499947816, "metadata": {"question": "What is the name written in the 'CLIENT:' field at the top right of the form? Output the name exactly as written in all capital letters (e.g., JOHN DOE).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 12.9188}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 19, "image": "c56ead6c-0697-4216-a27e-fbd28c19aaed_input-input-1781393738001-e3qhlmchi_png_jpg.rf.904ea3d34bf309c1a08a8147dd181e22.jpg", "expected": "225/65 R 17", "predicted": "225/65 R 17", "correct": true, "input_tokens": 1203, "output_tokens": 123, "elapsed_seconds": 10.330161500023678, "metadata": {"question": "What is the tire size printed directly to the right of the top-left \"MICHELIN\" brand name? Output the exact text as printed (e.g., 205/55 R 16).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.3763}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 20, "image": "c56ead6c-0697-4216-a27e-fbd28c19aaed_input-input-1781393738001-e3qhlmchi_png_jpg.rf.904ea3d34bf309c1a08a8147dd181e22.jpg", "expected": "POLAND", "predicted": "POLAND", "correct": true, "input_tokens": 1191, "output_tokens": 416, "elapsed_seconds": 15.837291667005047, "metadata": {"question": "What country is printed inside the oval directly below the words \"MADE IN\" on the bottom tire? Output the exact text as printed (e.g., GERMANY).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 15.8816}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 21, "image": "dce06136-2d24-422b-a3b6-e100c9a4bad1_input-input-1780992231793-0zf74ymfd_png_jpg.rf.d839d1c678628694e2bff03a7de7f25a.jpg", "expected": "1800 22 4020", "predicted": "1800 22 4020", "correct": true, "input_tokens": 1164, "output_tokens": 324, "elapsed_seconds": 16.58984229201451, "metadata": {"question": "What phone number is printed after the line \"OR CALL US AT\"? Output the number exactly as printed, preserving spaces.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 16.6414}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 22, "image": "dce06136-2d24-422b-a3b6-e100c9a4bad1_input-input-1780992231793-0zf74ymfd_png_jpg.rf.d839d1c678628694e2bff03a7de7f25a.jpg", "expected": "8901491361026", "predicted": "8901491361026", "correct": true, "input_tokens": 1157, "output_tokens": 358, "elapsed_seconds": 26.708411416970193, "metadata": {"question": "What number is printed directly beneath the barcode on the package? Respond with digits only.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 26.7567}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 23, "image": "dce06136-2d24-422b-a3b6-e100c9a4bad1_input-input-1780992231793-0zf74ymfd_png_jpg.rf.d839d1c678628694e2bff03a7de7f25a.jpg", "expected": "558 kcal", "predicted": "558 kcal", "correct": true, "input_tokens": 1168, "output_tokens": 257, "elapsed_seconds": 11.183483291068114, "metadata": {"question": "In the nutritional information table, what is the Energy value per 100g? Respond with the number and unit exactly as shown.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.2317}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 24, "image": "145655c9-ac14-4dbb-8925-e2b81fb119e3_input-input-1778072520416-hq28k5crq_png_jpg.rf.4778c32b3806b491466ac777daff1840.jpg", "expected": "0176213", "predicted": "0176213", "correct": true, "input_tokens": 1150, "output_tokens": 521, "elapsed_seconds": 9.156231583096087, "metadata": {"question": "What is the large, bold, seven digit number printed at the bottom right corner of the label attached to the metal shelf? Format the answer as a continuous sequence of digits.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.2273}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 25, "image": "145655c9-ac14-4dbb-8925-e2b81fb119e3_input-input-1778072520416-hq28k5crq_png_jpg.rf.4778c32b3806b491466ac777daff1840.jpg", "expected": "36", "predicted": "36", "correct": true, "input_tokens": 1142, "output_tokens": 991, "elapsed_seconds": 11.431512583978474, "metadata": {"question": "What is the total number of white PVC profile cross-sections visible in the entire stack? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.5032}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 26, "image": "47ad34a1-d784-48fd-bf0b-9814791703e3_input-input-1779422613724-1i91z3id8_png_jpg.rf.b05b9398755d107d94666106dd5d8aa8.jpg", "expected": "6315", "predicted": "6315", "correct": true, "input_tokens": 1169, "output_tokens": 270, "elapsed_seconds": 26.88677754101809, "metadata": {"question": "What fleet number is printed on the rear window of the yellow bus at the right edge? Format the answer as a continuous sequence of digits (e.g., 1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 26.9616}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 27, "image": "47ad34a1-d784-48fd-bf0b-9814791703e3_input-input-1779422613724-1i91z3id8_png_jpg.rf.b05b9398755d107d94666106dd5d8aa8.jpg", "expected": "ZL 7237", "predicted": "ZL 7237", "correct": true, "input_tokens": 1168, "output_tokens": 239, "elapsed_seconds": 11.717088041012175, "metadata": {"question": "What is the license plate number of the black SUV in the foreground right lane? Format the answer exactly as printed, including spaces (e.g., AB 1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.7929}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 28, "image": "cc68304c-144a-4975-a93a-d8efa85db6ed_input-input-1769095484858-rohdg9mmc_png_jpg.rf.378e0d7628c9899c5d343c8f700ca50b.jpg", "expected": "34", "predicted": "34", "correct": true, "input_tokens": 1170, "output_tokens": 324, "elapsed_seconds": 8.301158082904294, "metadata": {"question": "What is the large number displayed on the digital screen of the device? Output the exact number.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.36}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 29, "image": "d489f405-013e-4e8b-968a-1d9db2060050_png_jpg.rf.b6ede8915c0c026e32f0e8d070b1d247.jpg", "expected": "18", "predicted": "18", "correct": true, "input_tokens": 1170, "output_tokens": 624, "elapsed_seconds": 7.925200249999762, "metadata": {"question": "What is the total quantity (QTY) of all items described as \"Air Filter\" in the DESCRIPTION column? Output the final sum as a single integer (e.g., 15).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.9407}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 30, "image": "d0b99ce8-8a3b-4d1d-98d4-b34137b19f08_input-input-1768805031339-rs4dctz0p_png_jpg.rf.0b9ba7244c8f71c6879248740d0f2a0d.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1176, "output_tokens": 334, "elapsed_seconds": 17.792681292048655, "metadata": {"question": "Counting rows from the top starting at 1, in which row is the green 'American Bankers Association' stamp located? Output the row number as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 17.8935}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 31, "image": "06072daf-424d-471e-a5cb-f8821cf88eb6_input-input-1772637869821-qu9ua1cb8_png_jpg.rf.dbc22b4330271e95f97fe41a59e1179c.jpg", "expected": "0.1", "predicted": "0.1", "correct": true, "input_tokens": 1165, "output_tokens": 249, "elapsed_seconds": 8.013400291907601, "metadata": {"question": "What is the exact numerical value listed for Trans Fat per 100g? Format the answer as a decimal number.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.0619}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 32, "image": "06072daf-424d-471e-a5cb-f8821cf88eb6_input-input-1772637869821-qu9ua1cb8_png_jpg.rf.dbc22b4330271e95f97fe41a59e1179c.jpg", "expected": "CONSUMER.FEEDBACK@PEPSICO.COM", "predicted": "CONSUMER.FEEDBACK@PEPSICO.COM", "correct": true, "input_tokens": 1160, "output_tokens": 248, "elapsed_seconds": 7.162191416951828, "metadata": {"question": "What is the email address provided for consumer feedback or queries? Output the email address exactly as printed.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.2117}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 33, "image": "06072daf-424d-471e-a5cb-f8821cf88eb6_input-input-1772637869821-qu9ua1cb8_png_jpg.rf.dbc22b4330271e95f97fe41a59e1179c.jpg", "expected": "8901491001137", "predicted": "8901491001137", "correct": true, "input_tokens": 1165, "output_tokens": 399, "elapsed_seconds": 8.223515000077896, "metadata": {"question": "What is the 13-digit number printed directly below the barcode? Format the answer as a continuous sequence of digits.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.2717}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 34, "image": "5382e8f7-15f4-42a9-a54d-379a13cef073_input-input-1778848976488-hc2g5oq4u_png_jpg.rf.00a60ea7c1d1fe980ffa61040dbb248a.jpg", "expected": "13877350", "predicted": "13877350", "correct": true, "input_tokens": 1146, "output_tokens": 224, "elapsed_seconds": 8.99010079097934, "metadata": {"question": "What is the exact eight-digit number printed directly beneath the barcode in the top center \"Process Order\" section? Output the answer as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.1055}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 35, "image": "5382e8f7-15f4-42a9-a54d-379a13cef073_input-input-1778848976488-hc2g5oq4u_png_jpg.rf.00a60ea7c1d1fe980ffa61040dbb248a.jpg", "expected": "23:59:59", "predicted": "23:59:59", "correct": true, "input_tokens": 1146, "output_tokens": 269, "elapsed_seconds": 22.152152082999237, "metadata": {"question": "What is the precise time listed under \"Scheduled Finish\" in the Production Scheduler section? Format the answer exactly as it appears (HH:MM:SS)", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 22.2658}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 36, "image": "df23429e-5fcf-4520-b958-bc8eda842562_input-input-1779516894552-yx6kf3wwi_png_jpg.rf.162bd99f2b2cc0a242610ac878dada35.jpg", "expected": "000865491059", "predicted": "000865491059", "correct": true, "input_tokens": 1175, "output_tokens": 220, "elapsed_seconds": 6.644243833026849, "metadata": {"question": "What TIN is printed beside the QR code near the top right of the receipt? Format the answer as a continuous sequence of digits (e.g., 123456789012).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.738}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 37, "image": "df23429e-5fcf-4520-b958-bc8eda842562_input-input-1779516894552-yx6kf3wwi_png_jpg.rf.162bd99f2b2cc0a242610ac878dada35.jpg", "expected": "GAX2354", "predicted": "GAX2354", "correct": true, "input_tokens": 1164, "output_tokens": 209, "elapsed_seconds": 5.590177749982104, "metadata": {"question": "What plate number is printed in large type under the 'PAYMENT DETAILS' header? Output the text exactly as printed (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.6845}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 38, "image": "df23429e-5fcf-4520-b958-bc8eda842562_input-input-1779516894552-yx6kf3wwi_png_jpg.rf.162bd99f2b2cc0a242610ac878dada35.jpg", "expected": "0760-000000202792", "predicted": "0760-000000202792", "correct": true, "input_tokens": 1186, "output_tokens": 434, "elapsed_seconds": 8.84444437501952, "metadata": {"question": "What is the long number printed immediately to the right of the dark \"OFFICIAL RECEIPT\" box? Format the answer as a continuous sequence of digits and hyphens (e.g., 1234-000000123456).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.9389}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 39, "image": "1710a83d-1506-464e-83bf-f015141f1c37_input-input-1779171626146-78hoa3cju_png_jpg.rf.a4a6a3c3c8761b330dfe9cd2bc8a847a.jpg", "expected": "Thursday 22", "predicted": "Thursday 22", "correct": true, "input_tokens": 1183, "output_tokens": 235, "elapsed_seconds": 4.609208749956451, "metadata": {"question": "What is the specific day of the week and date highlighted with a solid blue background on the right side of the calendar grid? Format the answer exactly as \"[Day of week] [Date number]\".", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.6233}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 40, "image": "fc6e5e8d-4b33-4a20-a63a-96c0205ae8f6_png_jpg.rf.25fdc583a5ef5268cc575d85fb3c0924.jpg", "expected": "189300", "predicted": "189300", "correct": true, "input_tokens": 1185, "output_tokens": 343, "elapsed_seconds": 7.341944790910929, "metadata": {"question": "What is the handwritten number written directly after \"R#\" at the bottom right corner of the page? Format the answer as a continuous sequence of digits (e.g., 123456).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.3714}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 41, "image": "76b25762-3b57-4158-9fab-945416165ada_png_jpg.rf.f417d6fc1ac47927bd5024452bf580e7.jpg", "expected": "#1123656-1", "predicted": "#1123656-1", "correct": true, "input_tokens": 1167, "output_tokens": 349, "elapsed_seconds": 5.973492624936625, "metadata": {"question": "What is the check number printed directly below the date 'TUE JANUARY 20, 2026'? Format the answer exactly as printed, including the hash symbol and hyphen (e.g., #123456-7).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.1064}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 42, "image": "c3f661e1-1ce5-4c6b-ba39-f052aa469ae2_input-input-1780892587755-2dtxi0at3_png_jpg.rf.2e59559f9c0a22eb34f879380e77c649.jpg", "expected": "Andrew Ainsley", "predicted": "Andrew Ainsley", "correct": true, "input_tokens": 1159, "output_tokens": 186, "elapsed_seconds": 4.508229249971919, "metadata": {"question": "What full name is shown beneath the 'Full Name' label? Output the text exactly as printed, preserving capitalization (e.g., Jane Doe).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.5256}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 43, "image": "c3f661e1-1ce5-4c6b-ba39-f052aa469ae2_input-input-1780892587755-2dtxi0at3_png_jpg.rf.2e59559f9c0a22eb34f879380e77c649.jpg", "expected": "+1-300-555-0399", "predicted": "+1-300-555-0399", "correct": true, "input_tokens": 1170, "output_tokens": 191, "elapsed_seconds": 3.734517665929161, "metadata": {"question": "What phone number is shown beneath the 'Phone Number' label? Output the phone number exactly as printed (e.g., +1-222-333-4444).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.7518}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 44, "image": "acc53733-7609-4a88-9125-d9671368e31c_png_jpg.rf.1ebb25f78d83e52eabcdf2422409904b.jpg", "expected": "1:31.396", "predicted": "1:31.396", "correct": true, "input_tokens": 1196, "output_tokens": 121, "elapsed_seconds": 4.424172375001945, "metadata": {"question": "What is the lap time displayed next to the driver \"NOR\" at the top of the timing tower? Format the answer exactly as it appears on screen (e.g., 1:23.456).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.4677}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 45, "image": "fc635714-9747-4562-934a-76a998f30986_input-input-1769516774340-ndngcy0b8_png_jpg.rf.69006b774b46928d96d99b793ff005ee.jpg", "expected": "09/2023", "predicted": "09/2023", "correct": true, "input_tokens": 1192, "output_tokens": 581, "elapsed_seconds": 24.078470791922882, "metadata": {"question": "What is the date printed vertically along the left edge of the central blister pack? Format the answer exactly as it appears, including any punctuation (e.g., 12/2025).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 24.1289}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 46, "image": "25e6ed9c-2d37-4533-8021-977770aa97d1_input-input-1780691294811-oql9y0w9f_png_jpg.rf.c03fb5cccd8a068f05019d0a4d371fc7.jpg", "expected": "026", "predicted": "026", "correct": true, "input_tokens": 1179, "output_tokens": 167, "elapsed_seconds": 7.29056554089766, "metadata": {"question": "What is the three-digit identification number printed on the white roof of the truck cab? Format the answer as a sequence of three digits.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.3433}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 47, "image": "1ad1c779-b18f-4aaa-9cf0-6155cb19879b_input-input-1769444672197-ug2bdacps_png_jpg.rf.995e162e3e39f5709ab077e0fbe2798b.jpg", "expected": "03/2027", "predicted": "The expiration date stamped at the bottom of the blister pack is too blurry and low-resolution to read clearly. Please provide a clearer, higher-resolution image so I can accurately read the text.", "correct": false, "input_tokens": 1164, "output_tokens": 521, "elapsed_seconds": 15.346079665934667, "metadata": {"question": "What is the expiration date stamped at the bottom right corner of the left blister pack? Format the answer exactly as printed.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 15.3619}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 48, "image": "295f6019-a4f4-4a00-bb7b-6edfc37f54b6_input-input-1772410888497-d7tv6uegi_png_jpg.rf.efb04911d99ad83c1ce8d416c9966d16.jpg", "expected": "7811897358", "predicted": "7811897358", "correct": true, "input_tokens": 1138, "output_tokens": 436, "elapsed_seconds": 8.509262749925256, "metadata": {"question": "What is the NIP number printed near the top of the receipt? Format the answer as a continuous sequence of digits.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.6156}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 49, "image": "21a6d806-d16e-4452-a2e3-7fa520bd671d_input-input-1769360430457-50a88jpis_png_jpg.rf.aa61306d9e54120882fabd13146cb148.jpg", "expected": "DIN 912 M8x25", "predicted": "DIN 912 M8x25", "correct": true, "input_tokens": 1151, "output_tokens": 338, "elapsed_seconds": 7.351317583001219, "metadata": {"question": "What is the exact text printed on the white label attached to the front of the middle plastic bin? Format the answer exactly as it appears in the image, preserving capitalization and spacing.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.4806}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 50, "image": "db35c41c-a9ed-41bc-96cf-60186d715477_input-input-1774653477270-a4j6j7v6e_png_jpg.rf.57d75a03d42f0fc2b1029367596197db.jpg", "expected": "218", "predicted": "218", "correct": true, "input_tokens": 1188, "output_tokens": 150, "elapsed_seconds": 8.424963667057455, "metadata": {"question": "What number is printed on the side of the large white crane in the upper right background? Format the answer as a continuous sequence of digits (e.g., 123).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.4759}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 51, "image": "ac750e7d-de93-4813-828d-409d16bd176b_png_jpg.rf.8ce341df035e51f25255571745407ba8.jpg", "expected": "Rev #1", "predicted": "Rev #1", "correct": true, "input_tokens": 1161, "output_tokens": 230, "elapsed_seconds": 7.665243333089165, "metadata": {"question": "What is the handwritten text located at the top right corner of the page, above the \"OVERVIEW\" heading? Output the text exactly as written (e.g., Text #1).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.6849}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 52, "image": "f5be5818-9476-456d-be90-9636ea5b6baa_input-input-1775884904023-qoueoyinv_png_jpg.rf.bbf654b12e9dfcd3cdde57ef87b4b7d6.jpg", "expected": "510-795-6305", "predicted": "510-795-6305", "correct": true, "input_tokens": 1165, "output_tokens": 289, "elapsed_seconds": 13.909859374980442, "metadata": {"question": "What phone number is printed on the 'Fremont Hub' line below the bullseye logo? Format the answer exactly as a phone number with hyphens (e.g., 123-456-7890).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 13.9483}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 53, "image": "f5be5818-9476-456d-be90-9636ea5b6baa_input-input-1775884904023-qoueoyinv_png_jpg.rf.bbf654b12e9dfcd3cdde57ef87b4b7d6.jpg", "expected": "39201 Fremont Blvd", "predicted": "39201 Fremont Blvd", "correct": true, "input_tokens": 1151, "output_tokens": 174, "elapsed_seconds": 6.2031827920582145, "metadata": {"question": "What street address is printed on the line below 'Fremont Hub'? Output the address exactly as printed (e.g., 12345 Main St).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.2466}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 54, "image": "f5be5818-9476-456d-be90-9636ea5b6baa_input-input-1775884904023-qoueoyinv_png_jpg.rf.bbf654b12e9dfcd3cdde57ef87b4b7d6.jpg", "expected": "01/16/2026", "predicted": "01/16/2026", "correct": true, "input_tokens": 1155, "output_tokens": 317, "elapsed_seconds": 5.0733667080057785, "metadata": {"question": "What date is printed on the line directly above the barcode? Format the answer as MM/DD/YYYY (e.g., 04/05/2024).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.1161}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 55, "image": "f5be5818-9476-456d-be90-9636ea5b6baa_input-input-1775884904023-qoueoyinv_png_jpg.rf.bbf654b12e9dfcd3cdde57ef87b4b7d6.jpg", "expected": "$29.99", "predicted": "$29.99", "correct": true, "input_tokens": 1154, "output_tokens": 190, "elapsed_seconds": 4.406087584095076, "metadata": {"question": "What is the price listed for the \"BRITA ON TAP\" item in the KITCHEN section? Format the answer exactly as a dollar amount (e.g., $XX.XX).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.4468}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 56, "image": "f5be5818-9476-456d-be90-9636ea5b6baa_input-input-1775884904023-qoueoyinv_png_jpg.rf.bbf654b12e9dfcd3cdde57ef87b4b7d6.jpg", "expected": "245090218", "predicted": "245090218", "correct": true, "input_tokens": 1161, "output_tokens": 415, "elapsed_seconds": 8.222671249997802, "metadata": {"question": "What is the nine-digit item number printed to the left of \"BIOTRUE\"? Format the answer as a continuous sequence of digits (e.g., 890149100).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.2603}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 57, "image": "e6e06b1b-da53-41ac-bfdf-9316443ff037_png_jpg.rf.c1d6533563d5395cd9da770734324ce4.jpg", "expected": "31/3/24", "predicted": "31/3/24", "correct": true, "input_tokens": 1186, "output_tokens": 175, "elapsed_seconds": 6.611387624987401, "metadata": {"question": "What is the handwritten date written at the top left corner of the left page? Format the answer exactly as written (e.g., DD/M/YY).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.6646}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 58, "image": "1a2826ae-6b4f-402d-871c-c99feec8673f_input-input-1773615096287-0i6s4vldj_png_jpg.rf.0bb97f973f3ca866a8ddeff16f4a9ab8.jpg", "expected": "4e63b-59184", "predicted": "4e63b-59184", "correct": true, "input_tokens": 1199, "output_tokens": 386, "elapsed_seconds": 5.194909541052766, "metadata": {"question": "What is the first recovery code in the right column inside the dark code box? Format the answer as lowercase letters, digits, and a hyphen exactly as printed (e.g., ab123-cd456).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.2152}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 59, "image": "3250b041-2ce2-4500-a99d-6f95f5536be5_input-input-1779670032347-3m1xayuws_png_jpg.rf.f45bb85a65adb055ae0b0ce37334eb6d.jpg", "expected": "225/55 ZR 17", "predicted": "225/55 ZR 17", "correct": true, "input_tokens": 1165, "output_tokens": 258, "elapsed_seconds": 7.122592416941188, "metadata": {"question": "What is the large tire-size marking beside the checkered-flag logo? Output the text exactly as printed, preserving spaces and symbols (e.g., 205/60 R 16).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.197}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 60, "image": "04a7e555-066a-4662-be7d-1fab1d0a89bb_input-input-1773204169910-pu44i2o85_png_jpg.rf.f1ffe888c2d54063f42898d657dfa906.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1140, "output_tokens": 520, "elapsed_seconds": 8.261518125073053, "metadata": {"question": "Which whole number on the dial is the needle of the main gauge pointing closest to? Output the answer as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.3437}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 61, "image": "9524ed4d-178c-4051-9357-7c560b07815a_png_jpg.rf.59849ff479e380b534b74d0addc8a4e5.jpg", "expected": "GBK9951P", "predicted": "GBK9951P", "correct": true, "input_tokens": 1162, "output_tokens": 95, "elapsed_seconds": 5.007471333956346, "metadata": {"question": "What is the license plate number on the vehicle? Format the answer as a continuous sequence of uppercase letters and digits with no spaces (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.0411}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 62, "image": "4bd1305c-ba69-4b95-acbd-aeedcde5aeb5_input-input-1778614713022-g8ey7mf8j_png_jpg.rf.05583223686725fe6e962b4344e9fc7c.jpg", "expected": "2026-02-10 14:30:56", "predicted": "2026-02-10 14:30:56", "correct": true, "input_tokens": 1172, "output_tokens": 389, "elapsed_seconds": 11.18600770807825, "metadata": {"question": "What timestamp is overlaid near the top-right corner of the image? Output the timestamp exactly as printed.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.2311}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 63, "image": "2147a9a8-913a-4b7f-9b36-908eb54628d3_input-input-1771463083999-cj6damrec_png_jpg.rf.b1aa904aaf7b7942d731f9a9f25bc3e1.jpg", "expected": "06-28-2014", "predicted": "06-28-2014", "correct": true, "input_tokens": 1163, "output_tokens": 189, "elapsed_seconds": 7.573548959102482, "metadata": {"question": "What is the exact date printed in the bottom left section of the receipt, just below the item count? Format the answer exactly as it appears in the image.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.6188}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 64, "image": "2147a9a8-913a-4b7f-9b36-908eb54628d3_input-input-1771463083999-cj6damrec_png_jpg.rf.b1aa904aaf7b7942d731f9a9f25bc3e1.jpg", "expected": "3.79", "predicted": "3.79", "correct": true, "input_tokens": 1168, "output_tokens": 466, "elapsed_seconds": 27.816687874961644, "metadata": {"question": "What is the numerical price listed in the right column for the item specifically named \"EGGS 1 DOZ ORGANIC BROWN.\"? Output the price as a decimal number without currency symbols.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 27.8638}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 65, "image": "2147a9a8-913a-4b7f-9b36-908eb54628d3_input-input-1771463083999-cj6damrec_png_jpg.rf.b1aa904aaf7b7942d731f9a9f25bc3e1.jpg", "expected": "$40.00", "predicted": "$40.00", "correct": true, "input_tokens": 1170, "output_tokens": 188, "elapsed_seconds": 5.479235167033039, "metadata": {"question": "What is the exact cash amount tendered, printed directly to the right of the bold word \"CASH\" near the bottom of the receipt? Format the answer exactly as printed, including the dollar sign.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.5283}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 66, "image": "c1300d50-94fc-4081-b871-8338cef58e16_input-input-1778695950497-jbtexy630_png_jpg.rf.6fbb0636423109f2dfca5f2a22a6883a.jpg", "expected": "10:26", "predicted": "10:26", "correct": true, "input_tokens": 1190, "output_tokens": 252, "elapsed_seconds": 6.772955833002925, "metadata": {"question": "What is the time remaining in the period displayed in the center of the top scoreboard? Format the answer exactly as it appears on the screen (e.g., 12:34).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.8128}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 67, "image": "c1300d50-94fc-4081-b871-8338cef58e16_input-input-1778695950497-jbtexy630_png_jpg.rf.6fbb0636423109f2dfca5f2a22a6883a.jpg", "expected": "53", "predicted": "53", "correct": true, "input_tokens": 1186, "output_tokens": 252, "elapsed_seconds": 5.005512167001143, "metadata": {"question": "What is the total combined number of shots taken by both teams as displayed on the top scoreboard? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.0464}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 68, "image": "c1300d50-94fc-4081-b871-8338cef58e16_input-input-1778695950497-jbtexy630_png_jpg.rf.6fbb0636423109f2dfca5f2a22a6883a.jpg", "expected": "SEA 1 - TOR 1", "predicted": "SEA 1 - TOR 1", "correct": true, "input_tokens": 1189, "output_tokens": 175, "elapsed_seconds": 5.052026874967851, "metadata": {"question": "What is the current score shown on the top scoreboard? Format your answer as ABC N - ABC N using the two team abbreviations (e.g., SEA 1 - TOR 2).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.093}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 69, "image": "eeee1640-5005-460c-a3f3-12dfff951fc5_png_jpg.rf.648ce83a788a4eb5a650235397675f44.jpg", "expected": "PC5949A", "predicted": "PC5949A", "correct": true, "input_tokens": 1162, "output_tokens": 113, "elapsed_seconds": 3.6186159590724856, "metadata": {"question": "What is the license plate number on the vehicle? Format the answer as a continuous sequence of uppercase letters and digits with no spaces (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.6695}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 70, "image": "93441566-50c0-4bfb-9a31-437a2bc5e4f2_png_jpg.rf.078ab0583bc75e5a47971dc175d8a0a3.jpg", "expected": "OP01-013", "predicted": "OP01-013", "correct": true, "input_tokens": 1191, "output_tokens": 307, "elapsed_seconds": 5.391997333033942, "metadata": {"question": "What is the alphanumeric card code printed in the bottom right corner just before the block icon? Output the exact text as printed (e.g., \"OP02-001\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.4086}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 71, "image": "93441566-50c0-4bfb-9a31-437a2bc5e4f2_png_jpg.rf.078ab0583bc75e5a47971dc175d8a0a3.jpg", "expected": "3000", "predicted": "3000", "correct": true, "input_tokens": 1192, "output_tokens": 75, "elapsed_seconds": 3.1949566669063643, "metadata": {"question": "What power value is printed in the white box at the top-right corner of the card? Format the answer as a continuous sequence of digits (e.g., 7000).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.2082}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 72, "image": "94f3adfa-0184-4872-8eb9-9f24e1a81a95_png_jpg.rf.2be986b2ba0f23bc57b7056a30d7423b.jpg", "expected": "1:26.0", "predicted": "1:26.0", "correct": true, "input_tokens": 1191, "output_tokens": 334, "elapsed_seconds": 5.18360816698987, "metadata": {"question": "What lap time is shown in large white digits inside the center HAMILTON panel? Format the answer exactly as a time with a colon and decimal (e.g., 1:23.4).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.2308}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 73, "image": "36e6af65-9cf0-4b16-b5b2-2dbf5d54ffae_input-input-1778190001786-w0937ikxt_png_jpg.rf.e59dce98ea670882a0a0bfb3e59730b2.jpg", "expected": "14", "predicted": "14", "correct": true, "input_tokens": 1173, "output_tokens": 1505, "elapsed_seconds": 19.23746099998243, "metadata": {"question": "What is the total number of empty ports on the white panel? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 19.2671}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 74, "image": "33299f4b-1857-4400-a31d-677ecd2c277a_input-input-1771415890481-7pfiombu0_png_jpg.rf.feabb125c41c69cf7d8c3aca315be50d.jpg", "expected": "12:07:56", "predicted": "12:07:56", "correct": true, "input_tokens": 1155, "output_tokens": 217, "elapsed_seconds": 4.71547254093457, "metadata": {"question": "What is the exact time displayed in the timestamp at the top left corner of the image? Format the answer exactly as HH:MM:SS.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.8197}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 75, "image": "621387a6-d868-4912-90f1-7e8abd9df0c0_png_jpg.rf.a8276e972135e7eecb7d2d74936e608e.jpg", "expected": "TISSOT", "predicted": "TISSOT", "correct": true, "input_tokens": 1175, "output_tokens": 198, "elapsed_seconds": 6.023315250058658, "metadata": {"question": "aahat brand name is printed upside-down in large letters in the lower half of the watch dial? Output the exact text as printed (e.g., ROLEX).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.1218}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 76, "image": "621387a6-d868-4912-90f1-7e8abd9df0c0_png_jpg.rf.a8276e972135e7eecb7d2d74936e608e.jpg", "expected": "15", "predicted": "15", "correct": true, "input_tokens": 1178, "output_tokens": 1419, "elapsed_seconds": 20.566243542009033, "metadata": {"question": "What number is visible in the small date window near the upper-left edge of the blue dial? Format the answer as a continuous sequence of digits (e.g., 24).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 20.6651}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 77, "image": "0e9ddffb-4d1d-4c64-bfce-3e518dd1c8ae_input-input-1779391692177-bujnsi4tk_png_jpg.rf.36d93ac4b35d2ac11fcc66f37ebddb4b.jpg", "expected": "2 000111 111112", "predicted": "2 000111 111112", "correct": true, "input_tokens": 1144, "output_tokens": 481, "elapsed_seconds": 9.53708433394786, "metadata": {"question": "What is the sequence of digits printed directly alongside the barcode on the left side of the meter? Format the answer exactly as printed, including spaces.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.66}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 78, "image": "9557f58e-ee73-4877-8bff-54aaa8bee062_input-input-1769507524173-1hzc9hfio_png_jpg.rf.a5376988f390a31b2c12912c07892281.jpg", "expected": "18", "predicted": "18", "correct": true, "input_tokens": 1174, "output_tokens": 1284, "elapsed_seconds": 17.486856292001903, "metadata": {"question": "What number is displayed clearly on the uppermost, flat face of the die? Output the answer as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 17.5439}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 79, "image": "f0c68933-64c5-49e6-8845-707afdc32a4e_input-input-1776058768062-tn8vkqrxk_png_jpg.rf.5d66532520dc17be0083a5fe2664c963.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1168, "output_tokens": 269, "elapsed_seconds": 6.173462791950442, "metadata": {"question": "What number is displayed in red on the digital indicator above the leftmost elevator doors? Output the exact digit (e.g., 5).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.2539}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 80, "image": "f0c68933-64c5-49e6-8845-707afdc32a4e_input-input-1776058768062-tn8vkqrxk_png_jpg.rf.5d66532520dc17be0083a5fe2664c963.jpg", "expected": "14", "predicted": "14", "correct": true, "input_tokens": 1176, "output_tokens": 405, "elapsed_seconds": 8.212665249942802, "metadata": {"question": "What floor is this scene on, based on any floor signage or indicators visible in the image? Format the answer as a continuous sequence of digits (e.g., 5).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.29}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 81, "image": "4409ba1c-5b55-47e4-8fb3-ed245021d0bb_input-input-1776892569933-6scj88bzo_png_jpg.rf.c5d4d0e67097acc2dc0e5a026f4d5514.jpg", "expected": "NEXT", "predicted": "NEXT", "correct": true, "input_tokens": 1143, "output_tokens": 149, "elapsed_seconds": 4.31891266698949, "metadata": {"question": "What retailer name is printed in large letters near the left side of the receipt? Output the exact uppercase word (e.g., STORE).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.3942}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 82, "image": "4409ba1c-5b55-47e4-8fb3-ed245021d0bb_input-input-1776892569933-6scj88bzo_png_jpg.rf.c5d4d0e67097acc2dc0e5a026f4d5514.jpg", "expected": "0333 0055 512", "predicted": "0333 0055 512", "correct": true, "input_tokens": 1165, "output_tokens": 249, "elapsed_seconds": 6.026011292007752, "metadata": {"question": "What telephone number is printed on the line beginning with 'TEL' beneath 'London New Retail 0512'? Output the number exactly with spaces (e.g., 0123 4567 890).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.097}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 83, "image": "4409ba1c-5b55-47e4-8fb3-ed245021d0bb_input-input-1776892569933-6scj88bzo_png_jpg.rf.c5d4d0e67097acc2dc0e5a026f4d5514.jpg", "expected": "14 Mar 2026", "predicted": "14 Mar 2026", "correct": true, "input_tokens": 1155, "output_tokens": 321, "elapsed_seconds": 5.493321291985922, "metadata": {"question": "What calendar date is printed on the timestamp line beneath the TEL line? Output the date exactly as printed without the weekday or time (e.g., 01 Jan 2026).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.5659}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 84, "image": "4409ba1c-5b55-47e4-8fb3-ed245021d0bb_input-input-1776892569933-6scj88bzo_png_jpg.rf.c5d4d0e67097acc2dc0e5a026f4d5514.jpg", "expected": "\u00a397.00", "predicted": "\u00a397.00", "correct": true, "input_tokens": 1156, "output_tokens": 374, "elapsed_seconds": 13.183917124988511, "metadata": {"question": "What total refund amount is printed next to 'TOTAL REFUNDED TO ACCOUNT' in the middle of the receipt? Format the answer exactly as a pound amount (e.g., \u00a3XX.XX).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 13.2534}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 85, "image": "19f45907-d682-40cf-bb87-9133dc873871_input-input-1778506438615-gyarfruw4_png_jpg.rf.22e9fb7526b6b695a79118f2794a9ab3.jpg", "expected": "037156273", "predicted": "037156273", "correct": true, "input_tokens": 1191, "output_tokens": 527, "elapsed_seconds": 10.197211332968436, "metadata": {"question": "What is the serial number printed directly after \"S/N:\" at the top of the meter? Format the answer as a continuous sequence of digits.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.2226}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 86, "image": "1a8ee468-d168-4cec-bf83-881ad2853ed9_png_jpg.rf.02ee8e87c0ee9b2581f17ccbdb8fa702.jpg", "expected": "NYKU3687780", "predicted": "NYKU3687780", "correct": true, "input_tokens": 1159, "output_tokens": 713, "elapsed_seconds": 12.100865000043996, "metadata": {"question": "What is the vertical container identification code printed on the far left of the blue container? Format the answer as a continuous sequence of letters and numbers without spaces (e.g., ABCD1234567).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 12.1753}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 87, "image": "1a8ee468-d168-4cec-bf83-881ad2853ed9_png_jpg.rf.02ee8e87c0ee9b2581f17ccbdb8fa702.jpg", "expected": "22G1", "predicted": "22G1", "correct": true, "input_tokens": 1148, "output_tokens": 205, "elapsed_seconds": 4.225938082905486, "metadata": {"question": "Which four-character code is printed vertically directly above the yellow height limit sign on the blue container? Output the code exactly as printed (e.g., ABCD).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.2941}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 88, "image": "ae20b44c-9be6-47a5-8002-2c417a2a2441_png_jpg.rf.d312136933cbfcb91483a2dfad0d53bd.jpg", "expected": "Sesame Seed", "predicted": "Sesame Seed", "correct": true, "input_tokens": 1165, "output_tokens": 182, "elapsed_seconds": 3.8025285420008004, "metadata": {"question": "What bold allergen name appears in the ingredients paragraph next to the word \"Paste\"? Output the text exactly as printed (e.g., Wheat).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.8162}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 89, "image": "ae20b44c-9be6-47a5-8002-2c417a2a2441_png_jpg.rf.d312136933cbfcb91483a2dfad0d53bd.jpg", "expected": "Per 1/4 pot", "predicted": "Per 1/4 pot", "correct": true, "input_tokens": 1176, "output_tokens": 295, "elapsed_seconds": 4.180203124997206, "metadata": {"question": "Which nutrition table header is immediately to the right of \"Per 100g\" in the row beneath \"NUTRITION\"? Output the text exactly as printed (e.g., Per item).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.1924}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 90, "image": "0212eb3d-e4b1-4ef4-9204-e920654bf677_input-input-1778110710064-oqhw5zz8j_png_jpg.rf.014217c55a8b2da0df65b97e042ed090.jpg", "expected": "$44.99", "predicted": "$44.99", "correct": true, "input_tokens": 1158, "output_tokens": 434, "elapsed_seconds": 8.05531341698952, "metadata": {"question": "What is the price displayed on the green \"Price Cut\" tag directly beneath the Four Roses Single Barrel on the top shelf? Format the answer exactly as a dollar amount (e.g., $XX.XX).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.1774}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 91, "image": "bab22192-40dc-46bd-b314-ea08adf480e4_input-input-1768993566899-f1f6n85t5_png_jpg.rf.e266ed38188402a2fd66c6ee3416a4f0.jpg", "expected": "250ml", "predicted": "250ml", "correct": true, "input_tokens": 1147, "output_tokens": 220, "elapsed_seconds": 4.870229625026695, "metadata": {"question": "What capacity text is printed beneath the Fisherbrand logo on the right beaker? Output exactly with no added space (e.g., 100ml).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.9514}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 92, "image": "bab22192-40dc-46bd-b314-ea08adf480e4_input-input-1768993566899-f1f6n85t5_png_jpg.rf.e266ed38188402a2fd66c6ee3416a4f0.jpg", "expected": "150ml", "predicted": "150 ml", "correct": true, "input_tokens": 1156, "output_tokens": 1653, "elapsed_seconds": 22.501475042081438, "metadata": {"question": "What is the liquid level in the leftmost beaker, as read from its printed measurement scale? Format the answer as a number followed by a space and ml (e.g., 100ml).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 22.5813}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 93, "image": "537aaf5f-ca39-4266-beec-32e4e9b2e3aa_png_jpg.rf.7a1f952bb873dc687f3b3f3d0dfe0301.jpg", "expected": "SLV3235L", "predicted": "SLV3235L", "correct": true, "input_tokens": 1167, "output_tokens": 120, "elapsed_seconds": 3.3237004159018397, "metadata": {"question": "What is the license plate number on the vehicle? Format the answer as a continuous sequence of uppercase letters and digits with no spaces (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.332}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 94, "image": "39fe721b-44c4-4a0c-aeac-2897520dfa68_input-input-1781394102861-00bvuicbi_png_jpg.rf.363242f15c7e98f02eea7cb38d065c13.jpg", "expected": "205/60 R 16", "predicted": "205/60 R 16", "correct": true, "input_tokens": 1166, "output_tokens": 1139, "elapsed_seconds": 14.966106624924578, "metadata": {"question": "What is the large alphanumeric tire size sequence printed on the right side of the sidewall? Output the exact text including spaces and slashes.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 15.0448}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 95, "image": "0e4e059a-dffb-4d94-8827-06ec9a325906_input-input-1780878352625-ut880vj94_png_jpg.rf.bfa6b203688cdd30b56b2d4a213fe38e.jpg", "expected": "Brixx", "predicted": "Brixx", "correct": true, "input_tokens": 1159, "output_tokens": 132, "elapsed_seconds": 3.357067917007953, "metadata": {"question": "What restaurant name is printed at the top center of the receipt? Output the text exactly as printed (e.g., Pizzeria Uno).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.3719}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071307", "index": 96, "image": "0e4e059a-dffb-4d94-8827-06ec9a325906_input-input-1780878352625-ut880vj94_png_jpg.rf.bfa6b203688cdd30b56b2d4a213fe38e.jpg", "expected": "501 Meadowmont Village Circle", "predicted": "501 Meadowmont Village Circle", "correct": true, "input_tokens": 1164, "output_tokens": 243, "elapsed_seconds": 4.602419332950376, "metadata": {"question": "What street address is printed directly beneath the \"Brixx\" heading? Output the address exactly as printed (e.g., 123 Main Street).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.6167}} diff --git a/results/extraction_gemini-4-argon_high_20261013_071359.jsonl b/results/extraction_gemini-4-argon_high_20261013_071359.jsonl new file mode 100644 index 0000000..366633f --- /dev/null +++ b/results/extraction_gemini-4-argon_high_20261013_071359.jsonl @@ -0,0 +1,97 @@ +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 0, "image": "9a8c8b2e-fb85-4a29-8a8e-c4d8e90a263c_input-input-1771415218745-lelho5crz_png_jpg.rf.c532e07f580fa8f33418c4e51767f52f.jpg", "expected": "10:27", "predicted": "10:27", "correct": true, "input_tokens": 1184, "output_tokens": 413, "elapsed_seconds": 25.514552375068888, "metadata": {"question": "What is the time displayed in the top left corner of the dashboard? Format the answer exactly as it appears (e.g., 12:34).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 25.6068}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 1, "image": "9a8c8b2e-fb85-4a29-8a8e-c4d8e90a263c_input-input-1771415218745-lelho5crz_png_jpg.rf.c532e07f580fa8f33418c4e51767f52f.jpg", "expected": "7507 km", "predicted": "7507 km", "correct": true, "input_tokens": 1191, "output_tokens": 242, "elapsed_seconds": 23.389013707987033, "metadata": {"question": "What is the total odometer reading shown directly to the right of the 'P' gear indicator? Format the answer exactly as printed including the unit (e.g., 1234 km).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 23.4911}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 2, "image": "9a8c8b2e-fb85-4a29-8a8e-c4d8e90a263c_input-input-1771415218745-lelho5crz_png_jpg.rf.c532e07f580fa8f33418c4e51767f52f.jpg", "expected": "20.5\u00b0C", "predicted": "20.5\u00b0C", "correct": true, "input_tokens": 1191, "output_tokens": 267, "elapsed_seconds": 10.493582000024617, "metadata": {"question": "What is the temperature reading displayed in the top right corner of the dashboard? Format the answer exactly as printed including the degree symbol and unit (e.g., 22.0\u00b0C).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.5839}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 3, "image": "66bbef87-2e52-4a5a-8583-f52fbfa7465d_input-input-1778826066883-6t9qhnglh_png_jpg.rf.90a49214642ae3efbd28a7ef58d4a0d0.jpg", "expected": "$254", "predicted": "$254", "correct": true, "input_tokens": 1173, "output_tokens": 146, "elapsed_seconds": 8.98931995802559, "metadata": {"question": "What is the total price for the Icon Room, explicitly stated to include taxes & fees? Output the answer exactly as printed, including the dollar sign.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.0322}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 4, "image": "66bbef87-2e52-4a5a-8583-f52fbfa7465d_input-input-1778826066883-6t9qhnglh_png_jpg.rf.90a49214642ae3efbd28a7ef58d4a0d0.jpg", "expected": "1500", "predicted": "1500", "correct": true, "input_tokens": 1183, "output_tokens": 305, "elapsed_seconds": 8.24862408300396, "metadata": {"question": "According to the \"Surroundings\" list on the right side of the page, what is the exact distance in feet to the Richmond Night Market? Output the answer as a single integer without units.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.2885}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 5, "image": "66bbef87-2e52-4a5a-8583-f52fbfa7465d_input-input-1778826066883-6t9qhnglh_png_jpg.rf.90a49214642ae3efbd28a7ef58d4a0d0.jpg", "expected": "9.1", "predicted": "9.1", "correct": true, "input_tokens": 1176, "output_tokens": 156, "elapsed_seconds": 8.04106508300174, "metadata": {"question": "What is the numerical customer review rating out of 10 displayed in the blue circle on the right side of the page? Output the answer as a decimal number.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.0849}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 6, "image": "c9b00dcb-e093-43d9-baf8-f1971ff328af_input-input-1769103177177-3x5hfzwbp_png_jpg.rf.95edcd11e5d8724ab285b69ba52f6deb.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1143, "output_tokens": 468, "elapsed_seconds": 10.05513912497554, "metadata": {"question": "What handwritten number appears near the upper left corner of the card? Format the answer as a single digit (e.g., 7).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.1114}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 7, "image": "c9b00dcb-e093-43d9-baf8-f1971ff328af_input-input-1769103177177-3x5hfzwbp_png_jpg.rf.95edcd11e5d8724ab285b69ba52f6deb.jpg", "expected": "G230", "predicted": "G230", "correct": true, "input_tokens": 1144, "output_tokens": 682, "elapsed_seconds": 12.608176541980356, "metadata": {"question": "What is the alphanumeric code printed on the tan half of the capsule? Output the exact text (e.g., \"A123\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 12.66}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 8, "image": "f0d4c0bf-3a21-41a5-b0c2-c33b94feadb4_input-input-1771859752511-bk56l0pe1_png_jpg.rf.6c4ddb547fa7d14bea520ceb83d179fe.jpg", "expected": "63.490", "predicted": "63.490", "correct": true, "input_tokens": 1147, "output_tokens": 412, "elapsed_seconds": 13.868652916979045, "metadata": {"question": "What is the numerical value for the NET weight in LBS printed on the right door of the shipping container? Format the answer as a number including the decimal point.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 13.9709}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 9, "image": "f0d4c0bf-3a21-41a5-b0c2-c33b94feadb4_input-input-1771859752511-bk56l0pe1_png_jpg.rf.6c4ddb547fa7d14bea520ceb83d179fe.jpg", "expected": "TCKU 612608 6 45G1", "predicted": "TCKU 612608 6 45G1", "correct": true, "input_tokens": 1153, "output_tokens": 1762, "elapsed_seconds": 25.611327749909833, "metadata": {"question": "What is the complete two-line identification text printed in white on the upper right side of the container doors? Format the answer with a single space separating the top sequence from the bottom sequence.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 25.7135}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 10, "image": "f0d4c0bf-3a21-41a5-b0c2-c33b94feadb4_input-input-1771859752511-bk56l0pe1_png_jpg.rf.6c4ddb547fa7d14bea520ceb83d179fe.jpg", "expected": "2516510", "predicted": "2516390", "correct": false, "input_tokens": 1135, "output_tokens": 12440, "elapsed_seconds": 124.55219958396628, "metadata": {"question": "What is the license plate number on the trailer? Format the answer as a continuous sequence of digits.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 124.616}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 11, "image": "c9dbd271-e8bd-4a4c-9d90-dcc53a4910f6_input-input-1776792452299-9guc9kcwh_png_jpg.rf.499be0493ce07a3ce99ad741b1087b71.jpg", "expected": "0.40", "predicted": "0.40", "correct": true, "input_tokens": 1177, "output_tokens": 1221, "elapsed_seconds": 18.804095291998237, "metadata": {"question": "What time is shown on the left display of the red chess clock behind the board? Format the answer as a time with a colon (e.g., 1.23).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 18.8569}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 12, "image": "91b13b86-2929-4232-a4d1-a9a98420477e_png_jpg.rf.2d391bd85b3ed91712271a024089677e.jpg", "expected": "GZ808S", "predicted": "GZ808S", "correct": true, "input_tokens": 1172, "output_tokens": 474, "elapsed_seconds": 6.300994207966141, "metadata": {"question": "What is the license plate number on the vehicle? Format the answer as a continuous sequence of uppercase letters and digits with no spaces (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.3083}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 13, "image": "d2029347-fd3c-40be-8d89-b0e1abf64e9b_input-input-1781204084098-88xr6eavh_png_jpg.rf.21d8156058ed4f8ed2cffba4507eedee.jpg", "expected": "9CGN302", "predicted": "9CGN302", "correct": true, "input_tokens": 1152, "output_tokens": 121, "elapsed_seconds": 4.883688458008692, "metadata": {"question": "What is the license plate number on the rear of the black SUV? Format the answer as a continuous sequence of uppercase letters and digits (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.9511}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 14, "image": "d2029347-fd3c-40be-8d89-b0e1abf64e9b_input-input-1781204084098-88xr6eavh_png_jpg.rf.21d8156058ed4f8ed2cffba4507eedee.jpg", "expected": "7WQV954", "predicted": "7WQV954", "correct": true, "input_tokens": 1156, "output_tokens": 561, "elapsed_seconds": 11.794765540980734, "metadata": {"question": "What is the license plate number on the rear of the grey car in the upper left? Format the answer as a continuous sequence of uppercase letters and digits (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.8638}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 15, "image": "d2029347-fd3c-40be-8d89-b0e1abf64e9b_input-input-1781204084098-88xr6eavh_png_jpg.rf.21d8156058ed4f8ed2cffba4507eedee.jpg", "expected": "YUKON", "predicted": "YUKON", "correct": true, "input_tokens": 1149, "output_tokens": 234, "elapsed_seconds": 7.361619750037789, "metadata": {"question": "What text is written in silver letters on the lower left of the black SUV's tailgate? Output the exact text as printed (e.g., EXPLORER).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.43}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 16, "image": "020c3db8-dcc2-40e0-bf26-c874edb1612b_png_jpg.rf.a299e53bc85c66b204fae58e26a1e19b.jpg", "expected": "NCY1", "predicted": "NCY1", "correct": true, "input_tokens": 1178, "output_tokens": 871, "elapsed_seconds": 12.12861979205627, "metadata": {"question": "What is the item code listed directly above 'CDMF' in the 'Item Code' column? Output the code exactly as printed in uppercase (e.g., ABCD).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 12.1846}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 17, "image": "41a7e177-1031-4d8e-bdee-eecbb1f0d240_input-input-1774997209388-d3qjo2hm2_png_jpg.rf.9a0e0f41aecab5811b006d59b42506db.jpg", "expected": "005708", "predicted": "005708", "correct": true, "input_tokens": 1169, "output_tokens": 385, "elapsed_seconds": 7.288927624933422, "metadata": {"question": "What six-digit meter reading is shown in the black-framed LCD display? Format the answer as a continuous sequence of digits.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.2955}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 18, "image": "26584325-f95e-41e4-9f4b-99afc5ff078d_png_jpg.rf.30e30b60362db55140cd5874abc92899.jpg", "expected": "SIMONE KOVENSKY", "predicted": "SIMONE KOVENSKY", "correct": true, "input_tokens": 1152, "output_tokens": 265, "elapsed_seconds": 8.771695667062886, "metadata": {"question": "What is the name written in the 'CLIENT:' field at the top right of the form? Output the name exactly as written in all capital letters (e.g., JOHN DOE).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.8514}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 19, "image": "c56ead6c-0697-4216-a27e-fbd28c19aaed_input-input-1781393738001-e3qhlmchi_png_jpg.rf.904ea3d34bf309c1a08a8147dd181e22.jpg", "expected": "225/65 R 17", "predicted": "225/65 R 17", "correct": true, "input_tokens": 1203, "output_tokens": 229, "elapsed_seconds": 12.304738125065342, "metadata": {"question": "What is the tire size printed directly to the right of the top-left \"MICHELIN\" brand name? Output the exact text as printed (e.g., 205/55 R 16).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 12.3495}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 20, "image": "c56ead6c-0697-4216-a27e-fbd28c19aaed_input-input-1781393738001-e3qhlmchi_png_jpg.rf.904ea3d34bf309c1a08a8147dd181e22.jpg", "expected": "POLAND", "predicted": "POLAND", "correct": true, "input_tokens": 1191, "output_tokens": 392, "elapsed_seconds": 16.636120582930744, "metadata": {"question": "What country is printed inside the oval directly below the words \"MADE IN\" on the bottom tire? Output the exact text as printed (e.g., GERMANY).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 16.6832}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 21, "image": "dce06136-2d24-422b-a3b6-e100c9a4bad1_input-input-1780992231793-0zf74ymfd_png_jpg.rf.d839d1c678628694e2bff03a7de7f25a.jpg", "expected": "1800 22 4020", "predicted": "1800 22 4020", "correct": true, "input_tokens": 1164, "output_tokens": 335, "elapsed_seconds": 8.004448457970284, "metadata": {"question": "What phone number is printed after the line \"OR CALL US AT\"? Output the number exactly as printed, preserving spaces.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.0527}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 22, "image": "dce06136-2d24-422b-a3b6-e100c9a4bad1_input-input-1780992231793-0zf74ymfd_png_jpg.rf.d839d1c678628694e2bff03a7de7f25a.jpg", "expected": "8901491361026", "predicted": "8901491361026", "correct": true, "input_tokens": 1157, "output_tokens": 406, "elapsed_seconds": 10.632573542068712, "metadata": {"question": "What number is printed directly beneath the barcode on the package? Respond with digits only.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.6806}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 23, "image": "dce06136-2d24-422b-a3b6-e100c9a4bad1_input-input-1780992231793-0zf74ymfd_png_jpg.rf.d839d1c678628694e2bff03a7de7f25a.jpg", "expected": "558 kcal", "predicted": "558 kcal", "correct": true, "input_tokens": 1168, "output_tokens": 192, "elapsed_seconds": 16.449376125005074, "metadata": {"question": "In the nutritional information table, what is the Energy value per 100g? Respond with the number and unit exactly as shown.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 16.5001}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 24, "image": "145655c9-ac14-4dbb-8925-e2b81fb119e3_input-input-1778072520416-hq28k5crq_png_jpg.rf.4778c32b3806b491466ac777daff1840.jpg", "expected": "0176213", "predicted": "0176213", "correct": true, "input_tokens": 1150, "output_tokens": 527, "elapsed_seconds": 13.988916665897705, "metadata": {"question": "What is the large, bold, seven digit number printed at the bottom right corner of the label attached to the metal shelf? Format the answer as a continuous sequence of digits.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 14.0581}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 25, "image": "145655c9-ac14-4dbb-8925-e2b81fb119e3_input-input-1778072520416-hq28k5crq_png_jpg.rf.4778c32b3806b491466ac777daff1840.jpg", "expected": "36", "predicted": "36", "correct": true, "input_tokens": 1142, "output_tokens": 1134, "elapsed_seconds": 17.243902665912174, "metadata": {"question": "What is the total number of white PVC profile cross-sections visible in the entire stack? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 17.3143}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 26, "image": "47ad34a1-d784-48fd-bf0b-9814791703e3_input-input-1779422613724-1i91z3id8_png_jpg.rf.b05b9398755d107d94666106dd5d8aa8.jpg", "expected": "6315", "predicted": "6315", "correct": true, "input_tokens": 1169, "output_tokens": 269, "elapsed_seconds": 12.142242875066586, "metadata": {"question": "What fleet number is printed on the rear window of the yellow bus at the right edge? Format the answer as a continuous sequence of digits (e.g., 1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 12.2158}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 27, "image": "47ad34a1-d784-48fd-bf0b-9814791703e3_input-input-1779422613724-1i91z3id8_png_jpg.rf.b05b9398755d107d94666106dd5d8aa8.jpg", "expected": "ZL 7237", "predicted": "ZL 7237", "correct": true, "input_tokens": 1168, "output_tokens": 222, "elapsed_seconds": 9.550151792005636, "metadata": {"question": "What is the license plate number of the black SUV in the foreground right lane? Format the answer exactly as printed, including spaces (e.g., AB 1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.6256}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 28, "image": "cc68304c-144a-4975-a93a-d8efa85db6ed_input-input-1769095484858-rohdg9mmc_png_jpg.rf.378e0d7628c9899c5d343c8f700ca50b.jpg", "expected": "34", "predicted": "34", "correct": true, "input_tokens": 1170, "output_tokens": 327, "elapsed_seconds": 6.923343041911721, "metadata": {"question": "What is the large number displayed on the digital screen of the device? Output the exact number.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.9791}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 29, "image": "d489f405-013e-4e8b-968a-1d9db2060050_png_jpg.rf.b6ede8915c0c026e32f0e8d070b1d247.jpg", "expected": "18", "predicted": "18", "correct": true, "input_tokens": 1170, "output_tokens": 530, "elapsed_seconds": 6.903231124975719, "metadata": {"question": "What is the total quantity (QTY) of all items described as \"Air Filter\" in the DESCRIPTION column? Output the final sum as a single integer (e.g., 15).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.9223}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 30, "image": "d0b99ce8-8a3b-4d1d-98d4-b34137b19f08_input-input-1768805031339-rs4dctz0p_png_jpg.rf.0b9ba7244c8f71c6879248740d0f2a0d.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1176, "output_tokens": 487, "elapsed_seconds": 7.844690875033848, "metadata": {"question": "Counting rows from the top starting at 1, in which row is the green 'American Bankers Association' stamp located? Output the row number as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.9454}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 31, "image": "06072daf-424d-471e-a5cb-f8821cf88eb6_input-input-1772637869821-qu9ua1cb8_png_jpg.rf.dbc22b4330271e95f97fe41a59e1179c.jpg", "expected": "0.1", "predicted": "0.1", "correct": true, "input_tokens": 1165, "output_tokens": 252, "elapsed_seconds": 4.88014570903033, "metadata": {"question": "What is the exact numerical value listed for Trans Fat per 100g? Format the answer as a decimal number.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.9317}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 32, "image": "06072daf-424d-471e-a5cb-f8821cf88eb6_input-input-1772637869821-qu9ua1cb8_png_jpg.rf.dbc22b4330271e95f97fe41a59e1179c.jpg", "expected": "CONSUMER.FEEDBACK@PEPSICO.COM", "predicted": "CONSUMER.FEEDBACK@PEPSICO.COM", "correct": true, "input_tokens": 1160, "output_tokens": 206, "elapsed_seconds": 5.108544875052758, "metadata": {"question": "What is the email address provided for consumer feedback or queries? Output the email address exactly as printed.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.1552}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 33, "image": "06072daf-424d-471e-a5cb-f8821cf88eb6_input-input-1772637869821-qu9ua1cb8_png_jpg.rf.dbc22b4330271e95f97fe41a59e1179c.jpg", "expected": "8901491001137", "predicted": "8901491001137", "correct": true, "input_tokens": 1165, "output_tokens": 534, "elapsed_seconds": 6.791424624971114, "metadata": {"question": "What is the 13-digit number printed directly below the barcode? Format the answer as a continuous sequence of digits.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.8387}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 34, "image": "5382e8f7-15f4-42a9-a54d-379a13cef073_input-input-1778848976488-hc2g5oq4u_png_jpg.rf.00a60ea7c1d1fe980ffa61040dbb248a.jpg", "expected": "13877350", "predicted": "13877350", "correct": true, "input_tokens": 1146, "output_tokens": 299, "elapsed_seconds": 6.807850959012285, "metadata": {"question": "What is the exact eight-digit number printed directly beneath the barcode in the top center \"Process Order\" section? Output the answer as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.9225}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 35, "image": "5382e8f7-15f4-42a9-a54d-379a13cef073_input-input-1778848976488-hc2g5oq4u_png_jpg.rf.00a60ea7c1d1fe980ffa61040dbb248a.jpg", "expected": "23:59:59", "predicted": "23:59:59", "correct": true, "input_tokens": 1146, "output_tokens": 304, "elapsed_seconds": 6.838387042051181, "metadata": {"question": "What is the precise time listed under \"Scheduled Finish\" in the Production Scheduler section? Format the answer exactly as it appears (HH:MM:SS)", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.9534}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 36, "image": "df23429e-5fcf-4520-b958-bc8eda842562_input-input-1779516894552-yx6kf3wwi_png_jpg.rf.162bd99f2b2cc0a242610ac878dada35.jpg", "expected": "000865491059", "predicted": "000865491059", "correct": true, "input_tokens": 1175, "output_tokens": 216, "elapsed_seconds": 6.194401292013936, "metadata": {"question": "What TIN is printed beside the QR code near the top right of the receipt? Format the answer as a continuous sequence of digits (e.g., 123456789012).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.2866}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 37, "image": "df23429e-5fcf-4520-b958-bc8eda842562_input-input-1779516894552-yx6kf3wwi_png_jpg.rf.162bd99f2b2cc0a242610ac878dada35.jpg", "expected": "GAX2354", "predicted": "GAX2354", "correct": true, "input_tokens": 1164, "output_tokens": 124, "elapsed_seconds": 3.975802958011627, "metadata": {"question": "What plate number is printed in large type under the 'PAYMENT DETAILS' header? Output the text exactly as printed (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.0731}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 38, "image": "df23429e-5fcf-4520-b958-bc8eda842562_input-input-1779516894552-yx6kf3wwi_png_jpg.rf.162bd99f2b2cc0a242610ac878dada35.jpg", "expected": "0760-000000202792", "predicted": "0760-000000202792", "correct": true, "input_tokens": 1186, "output_tokens": 334, "elapsed_seconds": 6.695676249917597, "metadata": {"question": "What is the long number printed immediately to the right of the dark \"OFFICIAL RECEIPT\" box? Format the answer as a continuous sequence of digits and hyphens (e.g., 1234-000000123456).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.7905}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 39, "image": "1710a83d-1506-464e-83bf-f015141f1c37_input-input-1779171626146-78hoa3cju_png_jpg.rf.a4a6a3c3c8761b330dfe9cd2bc8a847a.jpg", "expected": "Thursday 22", "predicted": "Thursday 22", "correct": true, "input_tokens": 1183, "output_tokens": 192, "elapsed_seconds": 6.138873083051294, "metadata": {"question": "What is the specific day of the week and date highlighted with a solid blue background on the right side of the calendar grid? Format the answer exactly as \"[Day of week] [Date number]\".", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.1567}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 40, "image": "fc6e5e8d-4b33-4a20-a63a-96c0205ae8f6_png_jpg.rf.25fdc583a5ef5268cc575d85fb3c0924.jpg", "expected": "189300", "predicted": "189300", "correct": true, "input_tokens": 1185, "output_tokens": 339, "elapsed_seconds": 7.451870875083841, "metadata": {"question": "What is the handwritten number written directly after \"R#\" at the bottom right corner of the page? Format the answer as a continuous sequence of digits (e.g., 123456).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.4807}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 41, "image": "76b25762-3b57-4158-9fab-945416165ada_png_jpg.rf.f417d6fc1ac47927bd5024452bf580e7.jpg", "expected": "#1123656-1", "predicted": "#1123656-1", "correct": true, "input_tokens": 1167, "output_tokens": 342, "elapsed_seconds": 13.262200416997075, "metadata": {"question": "What is the check number printed directly below the date 'TUE JANUARY 20, 2026'? Format the answer exactly as printed, including the hash symbol and hyphen (e.g., #123456-7).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 13.3867}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 42, "image": "c3f661e1-1ce5-4c6b-ba39-f052aa469ae2_input-input-1780892587755-2dtxi0at3_png_jpg.rf.2e59559f9c0a22eb34f879380e77c649.jpg", "expected": "Andrew Ainsley", "predicted": "Andrew Ainsley", "correct": true, "input_tokens": 1159, "output_tokens": 102, "elapsed_seconds": 9.302077917032875, "metadata": {"question": "What full name is shown beneath the 'Full Name' label? Output the text exactly as printed, preserving capitalization (e.g., Jane Doe).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.3188}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 43, "image": "c3f661e1-1ce5-4c6b-ba39-f052aa469ae2_input-input-1780892587755-2dtxi0at3_png_jpg.rf.2e59559f9c0a22eb34f879380e77c649.jpg", "expected": "+1-300-555-0399", "predicted": "+1-300-555-0399", "correct": true, "input_tokens": 1170, "output_tokens": 132, "elapsed_seconds": 4.066723290947266, "metadata": {"question": "What phone number is shown beneath the 'Phone Number' label? Output the phone number exactly as printed (e.g., +1-222-333-4444).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.0878}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 44, "image": "acc53733-7609-4a88-9125-d9671368e31c_png_jpg.rf.1ebb25f78d83e52eabcdf2422409904b.jpg", "expected": "1:31.396", "predicted": "1:31.396", "correct": true, "input_tokens": 1196, "output_tokens": 203, "elapsed_seconds": 5.380259832949378, "metadata": {"question": "What is the lap time displayed next to the driver \"NOR\" at the top of the timing tower? Format the answer exactly as it appears on screen (e.g., 1:23.456).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.423}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 45, "image": "fc635714-9747-4562-934a-76a998f30986_input-input-1769516774340-ndngcy0b8_png_jpg.rf.69006b774b46928d96d99b793ff005ee.jpg", "expected": "09/2023", "predicted": "09/2023", "correct": true, "input_tokens": 1192, "output_tokens": 1969, "elapsed_seconds": 25.098805124987848, "metadata": {"question": "What is the date printed vertically along the left edge of the central blister pack? Format the answer exactly as it appears, including any punctuation (e.g., 12/2025).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 25.1502}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 46, "image": "25e6ed9c-2d37-4533-8021-977770aa97d1_input-input-1780691294811-oql9y0w9f_png_jpg.rf.c03fb5cccd8a068f05019d0a4d371fc7.jpg", "expected": "026", "predicted": "026", "correct": true, "input_tokens": 1179, "output_tokens": 161, "elapsed_seconds": 5.041700750007294, "metadata": {"question": "What is the three-digit identification number printed on the white roof of the truck cab? Format the answer as a sequence of three digits.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.1683}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 47, "image": "1ad1c779-b18f-4aaa-9cf0-6155cb19879b_input-input-1769444672197-ug2bdacps_png_jpg.rf.995e162e3e39f5709ab077e0fbe2798b.jpg", "expected": "03/2027", "predicted": "I am unable to read the expiration date as the stamped text at the bottom of the blister pack is too blurry and degraded. Please provide a clearer, higher-resolution image.", "correct": false, "input_tokens": 1164, "output_tokens": 541, "elapsed_seconds": 9.65942591696512, "metadata": {"question": "What is the expiration date stamped at the bottom right corner of the left blister pack? Format the answer exactly as printed.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 9.6743}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 48, "image": "295f6019-a4f4-4a00-bb7b-6edfc37f54b6_input-input-1772410888497-d7tv6uegi_png_jpg.rf.efb04911d99ad83c1ce8d416c9966d16.jpg", "expected": "7811897358", "predicted": "7811897358", "correct": true, "input_tokens": 1138, "output_tokens": 450, "elapsed_seconds": 7.251783084007911, "metadata": {"question": "What is the NIP number printed near the top of the receipt? Format the answer as a continuous sequence of digits.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.3565}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 49, "image": "21a6d806-d16e-4452-a2e3-7fa520bd671d_input-input-1769360430457-50a88jpis_png_jpg.rf.aa61306d9e54120882fabd13146cb148.jpg", "expected": "DIN 912 M8x25", "predicted": "DIN 912 M8x25", "correct": true, "input_tokens": 1151, "output_tokens": 249, "elapsed_seconds": 29.16013545799069, "metadata": {"question": "What is the exact text printed on the white label attached to the front of the middle plastic bin? Format the answer exactly as it appears in the image, preserving capitalization and spacing.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 29.2848}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 50, "image": "db35c41c-a9ed-41bc-96cf-60186d715477_input-input-1774653477270-a4j6j7v6e_png_jpg.rf.57d75a03d42f0fc2b1029367596197db.jpg", "expected": "218", "predicted": "218", "correct": true, "input_tokens": 1188, "output_tokens": 183, "elapsed_seconds": 5.472515958012082, "metadata": {"question": "What number is printed on the side of the large white crane in the upper right background? Format the answer as a continuous sequence of digits (e.g., 123).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.5208}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 51, "image": "ac750e7d-de93-4813-828d-409d16bd176b_png_jpg.rf.8ce341df035e51f25255571745407ba8.jpg", "expected": "Rev #1", "predicted": "Rev #1", "correct": true, "input_tokens": 1161, "output_tokens": 265, "elapsed_seconds": 10.666487333015539, "metadata": {"question": "What is the handwritten text located at the top right corner of the page, above the \"OVERVIEW\" heading? Output the text exactly as written (e.g., Text #1).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.6875}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 52, "image": "f5be5818-9476-456d-be90-9636ea5b6baa_input-input-1775884904023-qoueoyinv_png_jpg.rf.bbf654b12e9dfcd3cdde57ef87b4b7d6.jpg", "expected": "510-795-6305", "predicted": "510-795-6305", "correct": true, "input_tokens": 1165, "output_tokens": 152, "elapsed_seconds": 6.806627625017427, "metadata": {"question": "What phone number is printed on the 'Fremont Hub' line below the bullseye logo? Format the answer exactly as a phone number with hyphens (e.g., 123-456-7890).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.8457}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 53, "image": "f5be5818-9476-456d-be90-9636ea5b6baa_input-input-1775884904023-qoueoyinv_png_jpg.rf.bbf654b12e9dfcd3cdde57ef87b4b7d6.jpg", "expected": "39201 Fremont Blvd", "predicted": "39201 Fremont Blvd", "correct": true, "input_tokens": 1151, "output_tokens": 178, "elapsed_seconds": 4.901885834056884, "metadata": {"question": "What street address is printed on the line below 'Fremont Hub'? Output the address exactly as printed (e.g., 12345 Main St).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.9428}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 54, "image": "f5be5818-9476-456d-be90-9636ea5b6baa_input-input-1775884904023-qoueoyinv_png_jpg.rf.bbf654b12e9dfcd3cdde57ef87b4b7d6.jpg", "expected": "01/16/2026", "predicted": "01/16/2026", "correct": true, "input_tokens": 1155, "output_tokens": 165, "elapsed_seconds": 4.709910499979742, "metadata": {"question": "What date is printed on the line directly above the barcode? Format the answer as MM/DD/YYYY (e.g., 04/05/2024).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.7483}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 55, "image": "f5be5818-9476-456d-be90-9636ea5b6baa_input-input-1775884904023-qoueoyinv_png_jpg.rf.bbf654b12e9dfcd3cdde57ef87b4b7d6.jpg", "expected": "$29.99", "predicted": "$29.99", "correct": true, "input_tokens": 1154, "output_tokens": 270, "elapsed_seconds": 6.554838124895468, "metadata": {"question": "What is the price listed for the \"BRITA ON TAP\" item in the KITCHEN section? Format the answer exactly as a dollar amount (e.g., $XX.XX).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.5944}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 56, "image": "f5be5818-9476-456d-be90-9636ea5b6baa_input-input-1775884904023-qoueoyinv_png_jpg.rf.bbf654b12e9dfcd3cdde57ef87b4b7d6.jpg", "expected": "245090218", "predicted": "245090218", "correct": true, "input_tokens": 1161, "output_tokens": 160, "elapsed_seconds": 9.843929041991942, "metadata": {"question": "What is the nine-digit item number printed to the left of \"BIOTRUE\"? Format the answer as a continuous sequence of digits (e.g., 890149100).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.8831}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 57, "image": "e6e06b1b-da53-41ac-bfdf-9316443ff037_png_jpg.rf.c1d6533563d5395cd9da770734324ce4.jpg", "expected": "31/3/24", "predicted": "31/3/24", "correct": true, "input_tokens": 1186, "output_tokens": 172, "elapsed_seconds": 5.889869124977849, "metadata": {"question": "What is the handwritten date written at the top left corner of the left page? Format the answer exactly as written (e.g., DD/M/YY).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.9401}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 58, "image": "1a2826ae-6b4f-402d-871c-c99feec8673f_input-input-1773615096287-0i6s4vldj_png_jpg.rf.0bb97f973f3ca866a8ddeff16f4a9ab8.jpg", "expected": "4e63b-59184", "predicted": "4e63b-59184", "correct": true, "input_tokens": 1199, "output_tokens": 550, "elapsed_seconds": 7.248285291949287, "metadata": {"question": "What is the first recovery code in the right column inside the dark code box? Format the answer as lowercase letters, digits, and a hyphen exactly as printed (e.g., ab123-cd456).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.2684}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 59, "image": "3250b041-2ce2-4500-a99d-6f95f5536be5_input-input-1779670032347-3m1xayuws_png_jpg.rf.f45bb85a65adb055ae0b0ce37334eb6d.jpg", "expected": "225/55 ZR 17", "predicted": "225/55 ZR 17", "correct": true, "input_tokens": 1165, "output_tokens": 274, "elapsed_seconds": 8.639492374961264, "metadata": {"question": "What is the large tire-size marking beside the checkered-flag logo? Output the text exactly as printed, preserving spaces and symbols (e.g., 205/60 R 16).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.7143}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 60, "image": "04a7e555-066a-4662-be7d-1fab1d0a89bb_input-input-1773204169910-pu44i2o85_png_jpg.rf.f1ffe888c2d54063f42898d657dfa906.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1140, "output_tokens": 297, "elapsed_seconds": 6.742577958037145, "metadata": {"question": "Which whole number on the dial is the needle of the main gauge pointing closest to? Output the answer as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.8212}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 61, "image": "9524ed4d-178c-4051-9357-7c560b07815a_png_jpg.rf.59849ff479e380b534b74d0addc8a4e5.jpg", "expected": "GBK9951P", "predicted": "GBK9951P", "correct": true, "input_tokens": 1162, "output_tokens": 139, "elapsed_seconds": 4.264776833006181, "metadata": {"question": "What is the license plate number on the vehicle? Format the answer as a continuous sequence of uppercase letters and digits with no spaces (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.2956}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 62, "image": "4bd1305c-ba69-4b95-acbd-aeedcde5aeb5_input-input-1778614713022-g8ey7mf8j_png_jpg.rf.05583223686725fe6e962b4344e9fc7c.jpg", "expected": "2026-02-10 14:30:56", "predicted": "2026-02-10 14:30:56", "correct": true, "input_tokens": 1172, "output_tokens": 258, "elapsed_seconds": 5.483281666995026, "metadata": {"question": "What timestamp is overlaid near the top-right corner of the image? Output the timestamp exactly as printed.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.53}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 63, "image": "2147a9a8-913a-4b7f-9b36-908eb54628d3_input-input-1771463083999-cj6damrec_png_jpg.rf.b1aa904aaf7b7942d731f9a9f25bc3e1.jpg", "expected": "06-28-2014", "predicted": "06-28-2014", "correct": true, "input_tokens": 1163, "output_tokens": 185, "elapsed_seconds": 28.232867125072517, "metadata": {"question": "What is the exact date printed in the bottom left section of the receipt, just below the item count? Format the answer exactly as it appears in the image.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 28.6469}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 64, "image": "2147a9a8-913a-4b7f-9b36-908eb54628d3_input-input-1771463083999-cj6damrec_png_jpg.rf.b1aa904aaf7b7942d731f9a9f25bc3e1.jpg", "expected": "3.79", "predicted": "3.79", "correct": true, "input_tokens": 1168, "output_tokens": 423, "elapsed_seconds": 6.584887124947272, "metadata": {"question": "What is the numerical price listed in the right column for the item specifically named \"EGGS 1 DOZ ORGANIC BROWN.\"? Output the price as a decimal number without currency symbols.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.6319}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 65, "image": "2147a9a8-913a-4b7f-9b36-908eb54628d3_input-input-1771463083999-cj6damrec_png_jpg.rf.b1aa904aaf7b7942d731f9a9f25bc3e1.jpg", "expected": "$40.00", "predicted": "$40.00", "correct": true, "input_tokens": 1170, "output_tokens": 293, "elapsed_seconds": 17.791670624981634, "metadata": {"question": "What is the exact cash amount tendered, printed directly to the right of the bold word \"CASH\" near the bottom of the receipt? Format the answer exactly as printed, including the dollar sign.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 17.8415}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 66, "image": "c1300d50-94fc-4081-b871-8338cef58e16_input-input-1778695950497-jbtexy630_png_jpg.rf.6fbb0636423109f2dfca5f2a22a6883a.jpg", "expected": "10:26", "predicted": "10:26", "correct": true, "input_tokens": 1190, "output_tokens": 240, "elapsed_seconds": 10.48812741599977, "metadata": {"question": "What is the time remaining in the period displayed in the center of the top scoreboard? Format the answer exactly as it appears on the screen (e.g., 12:34).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.5301}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 67, "image": "c1300d50-94fc-4081-b871-8338cef58e16_input-input-1778695950497-jbtexy630_png_jpg.rf.6fbb0636423109f2dfca5f2a22a6883a.jpg", "expected": "53", "predicted": "53", "correct": true, "input_tokens": 1186, "output_tokens": 256, "elapsed_seconds": 5.143136834027246, "metadata": {"question": "What is the total combined number of shots taken by both teams as displayed on the top scoreboard? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.1864}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 68, "image": "c1300d50-94fc-4081-b871-8338cef58e16_input-input-1778695950497-jbtexy630_png_jpg.rf.6fbb0636423109f2dfca5f2a22a6883a.jpg", "expected": "SEA 1 - TOR 1", "predicted": "SEA 1 - TOR 1", "correct": true, "input_tokens": 1189, "output_tokens": 219, "elapsed_seconds": 6.753524624975398, "metadata": {"question": "What is the current score shown on the top scoreboard? Format your answer as ABC N - ABC N using the two team abbreviations (e.g., SEA 1 - TOR 2).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.7941}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 69, "image": "eeee1640-5005-460c-a3f3-12dfff951fc5_png_jpg.rf.648ce83a788a4eb5a650235397675f44.jpg", "expected": "PC5949A", "predicted": "PC5949A", "correct": true, "input_tokens": 1162, "output_tokens": 254, "elapsed_seconds": 12.926481999922544, "metadata": {"question": "What is the license plate number on the vehicle? Format the answer as a continuous sequence of uppercase letters and digits with no spaces (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 12.9758}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 70, "image": "93441566-50c0-4bfb-9a31-437a2bc5e4f2_png_jpg.rf.078ab0583bc75e5a47971dc175d8a0a3.jpg", "expected": "OP01-013", "predicted": "OP01-013", "correct": true, "input_tokens": 1191, "output_tokens": 187, "elapsed_seconds": 4.272552374983206, "metadata": {"question": "What is the alphanumeric card code printed in the bottom right corner just before the block icon? Output the exact text as printed (e.g., \"OP02-001\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.2856}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 71, "image": "93441566-50c0-4bfb-9a31-437a2bc5e4f2_png_jpg.rf.078ab0583bc75e5a47971dc175d8a0a3.jpg", "expected": "3000", "predicted": "3000", "correct": true, "input_tokens": 1192, "output_tokens": 174, "elapsed_seconds": 4.225774999940768, "metadata": {"question": "What power value is printed in the white box at the top-right corner of the card? Format the answer as a continuous sequence of digits (e.g., 7000).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.2391}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 72, "image": "94f3adfa-0184-4872-8eb9-9f24e1a81a95_png_jpg.rf.2be986b2ba0f23bc57b7056a30d7423b.jpg", "expected": "1:26.0", "predicted": "1:26.0", "correct": true, "input_tokens": 1191, "output_tokens": 255, "elapsed_seconds": 5.349438334000297, "metadata": {"question": "What lap time is shown in large white digits inside the center HAMILTON panel? Format the answer exactly as a time with a colon and decimal (e.g., 1:23.4).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.3981}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 73, "image": "36e6af65-9cf0-4b16-b5b2-2dbf5d54ffae_input-input-1778190001786-w0937ikxt_png_jpg.rf.e59dce98ea670882a0a0bfb3e59730b2.jpg", "expected": "14", "predicted": "14", "correct": true, "input_tokens": 1173, "output_tokens": 2375, "elapsed_seconds": 30.000872500007972, "metadata": {"question": "What is the total number of empty ports on the white panel? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 30.0309}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 74, "image": "33299f4b-1857-4400-a31d-677ecd2c277a_input-input-1771415890481-7pfiombu0_png_jpg.rf.feabb125c41c69cf7d8c3aca315be50d.jpg", "expected": "12:07:56", "predicted": "12:07:56", "correct": true, "input_tokens": 1155, "output_tokens": 239, "elapsed_seconds": 4.945344290928915, "metadata": {"question": "What is the exact time displayed in the timestamp at the top left corner of the image? Format the answer exactly as HH:MM:SS.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.004}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 75, "image": "621387a6-d868-4912-90f1-7e8abd9df0c0_png_jpg.rf.a8276e972135e7eecb7d2d74936e608e.jpg", "expected": "TISSOT", "predicted": "TISSOT", "correct": true, "input_tokens": 1175, "output_tokens": 158, "elapsed_seconds": 6.132601749966852, "metadata": {"question": "aahat brand name is printed upside-down in large letters in the lower half of the watch dial? Output the exact text as printed (e.g., ROLEX).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.2309}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 76, "image": "621387a6-d868-4912-90f1-7e8abd9df0c0_png_jpg.rf.a8276e972135e7eecb7d2d74936e608e.jpg", "expected": "15", "predicted": "15", "correct": true, "input_tokens": 1178, "output_tokens": 823, "elapsed_seconds": 13.33450404193718, "metadata": {"question": "What number is visible in the small date window near the upper-left edge of the blue dial? Format the answer as a continuous sequence of digits (e.g., 24).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 13.4376}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 77, "image": "0e9ddffb-4d1d-4c64-bfce-3e518dd1c8ae_input-input-1779391692177-bujnsi4tk_png_jpg.rf.36d93ac4b35d2ac11fcc66f37ebddb4b.jpg", "expected": "2 000111 111112", "predicted": "2 000111 111112", "correct": true, "input_tokens": 1144, "output_tokens": 704, "elapsed_seconds": 9.3500996659277, "metadata": {"question": "What is the sequence of digits printed directly alongside the barcode on the left side of the meter? Format the answer exactly as printed, including spaces.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.4793}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 78, "image": "9557f58e-ee73-4877-8bff-54aaa8bee062_input-input-1769507524173-1hzc9hfio_png_jpg.rf.a5376988f390a31b2c12912c07892281.jpg", "expected": "18", "predicted": "18", "correct": true, "input_tokens": 1174, "output_tokens": 446, "elapsed_seconds": 7.249463582993485, "metadata": {"question": "What number is displayed clearly on the uppermost, flat face of the die? Output the answer as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.3134}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 79, "image": "f0c68933-64c5-49e6-8845-707afdc32a4e_input-input-1776058768062-tn8vkqrxk_png_jpg.rf.5d66532520dc17be0083a5fe2664c963.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1168, "output_tokens": 265, "elapsed_seconds": 6.503923749900423, "metadata": {"question": "What number is displayed in red on the digital indicator above the leftmost elevator doors? Output the exact digit (e.g., 5).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.5822}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 80, "image": "f0c68933-64c5-49e6-8845-707afdc32a4e_input-input-1776058768062-tn8vkqrxk_png_jpg.rf.5d66532520dc17be0083a5fe2664c963.jpg", "expected": "14", "predicted": "14", "correct": true, "input_tokens": 1176, "output_tokens": 390, "elapsed_seconds": 7.86770420789253, "metadata": {"question": "What floor is this scene on, based on any floor signage or indicators visible in the image? Format the answer as a continuous sequence of digits (e.g., 5).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.9473}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 81, "image": "4409ba1c-5b55-47e4-8fb3-ed245021d0bb_input-input-1776892569933-6scj88bzo_png_jpg.rf.c5d4d0e67097acc2dc0e5a026f4d5514.jpg", "expected": "NEXT", "predicted": "NEXT", "correct": true, "input_tokens": 1143, "output_tokens": 213, "elapsed_seconds": 5.5723874169634655, "metadata": {"question": "What retailer name is printed in large letters near the left side of the receipt? Output the exact uppercase word (e.g., STORE).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.6461}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 82, "image": "4409ba1c-5b55-47e4-8fb3-ed245021d0bb_input-input-1776892569933-6scj88bzo_png_jpg.rf.c5d4d0e67097acc2dc0e5a026f4d5514.jpg", "expected": "0333 0055 512", "predicted": "0333 0055 512", "correct": true, "input_tokens": 1165, "output_tokens": 276, "elapsed_seconds": 5.3267937920754775, "metadata": {"question": "What telephone number is printed on the line beginning with 'TEL' beneath 'London New Retail 0512'? Output the number exactly with spaces (e.g., 0123 4567 890).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.4009}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 83, "image": "4409ba1c-5b55-47e4-8fb3-ed245021d0bb_input-input-1776892569933-6scj88bzo_png_jpg.rf.c5d4d0e67097acc2dc0e5a026f4d5514.jpg", "expected": "14 Mar 2026", "predicted": "14 Mar 2026", "correct": true, "input_tokens": 1155, "output_tokens": 316, "elapsed_seconds": 5.4887545419624075, "metadata": {"question": "What calendar date is printed on the timestamp line beneath the TEL line? Output the date exactly as printed without the weekday or time (e.g., 01 Jan 2026).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.562}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 84, "image": "4409ba1c-5b55-47e4-8fb3-ed245021d0bb_input-input-1776892569933-6scj88bzo_png_jpg.rf.c5d4d0e67097acc2dc0e5a026f4d5514.jpg", "expected": "\u00a397.00", "predicted": "\u00a397.00", "correct": true, "input_tokens": 1156, "output_tokens": 367, "elapsed_seconds": 5.238501165993512, "metadata": {"question": "What total refund amount is printed next to 'TOTAL REFUNDED TO ACCOUNT' in the middle of the receipt? Format the answer exactly as a pound amount (e.g., \u00a3XX.XX).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.3155}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 85, "image": "19f45907-d682-40cf-bb87-9133dc873871_input-input-1778506438615-gyarfruw4_png_jpg.rf.22e9fb7526b6b695a79118f2794a9ab3.jpg", "expected": "037156273", "predicted": "037156273", "correct": true, "input_tokens": 1191, "output_tokens": 469, "elapsed_seconds": 7.0689024169696495, "metadata": {"question": "What is the serial number printed directly after \"S/N:\" at the top of the meter? Format the answer as a continuous sequence of digits.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.0908}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 86, "image": "1a8ee468-d168-4cec-bf83-881ad2853ed9_png_jpg.rf.02ee8e87c0ee9b2581f17ccbdb8fa702.jpg", "expected": "NYKU3687780", "predicted": "NYKU3687780", "correct": true, "input_tokens": 1159, "output_tokens": 699, "elapsed_seconds": 8.30542716709897, "metadata": {"question": "What is the vertical container identification code printed on the far left of the blue container? Format the answer as a continuous sequence of letters and numbers without spaces (e.g., ABCD1234567).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.3751}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 87, "image": "1a8ee468-d168-4cec-bf83-881ad2853ed9_png_jpg.rf.02ee8e87c0ee9b2581f17ccbdb8fa702.jpg", "expected": "22G1", "predicted": "22G1", "correct": true, "input_tokens": 1148, "output_tokens": 347, "elapsed_seconds": 12.634141625021584, "metadata": {"question": "Which four-character code is printed vertically directly above the yellow height limit sign on the blue container? Output the code exactly as printed (e.g., ABCD).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 12.7077}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 88, "image": "ae20b44c-9be6-47a5-8002-2c417a2a2441_png_jpg.rf.d312136933cbfcb91483a2dfad0d53bd.jpg", "expected": "Sesame Seed", "predicted": "Sesame Seed", "correct": true, "input_tokens": 1165, "output_tokens": 219, "elapsed_seconds": 7.99853283399716, "metadata": {"question": "What bold allergen name appears in the ingredients paragraph next to the word \"Paste\"? Output the text exactly as printed (e.g., Wheat).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.0125}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 89, "image": "ae20b44c-9be6-47a5-8002-2c417a2a2441_png_jpg.rf.d312136933cbfcb91483a2dfad0d53bd.jpg", "expected": "Per 1/4 pot", "predicted": "Per 1/4 pot", "correct": true, "input_tokens": 1176, "output_tokens": 299, "elapsed_seconds": 4.495472208014689, "metadata": {"question": "Which nutrition table header is immediately to the right of \"Per 100g\" in the row beneath \"NUTRITION\"? Output the text exactly as printed (e.g., Per item).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.506}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 90, "image": "0212eb3d-e4b1-4ef4-9204-e920654bf677_input-input-1778110710064-oqhw5zz8j_png_jpg.rf.014217c55a8b2da0df65b97e042ed090.jpg", "expected": "$44.99", "predicted": "$44.99", "correct": true, "input_tokens": 1158, "output_tokens": 340, "elapsed_seconds": 7.803447415935807, "metadata": {"question": "What is the price displayed on the green \"Price Cut\" tag directly beneath the Four Roses Single Barrel on the top shelf? Format the answer exactly as a dollar amount (e.g., $XX.XX).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.9294}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 91, "image": "bab22192-40dc-46bd-b314-ea08adf480e4_input-input-1768993566899-f1f6n85t5_png_jpg.rf.e266ed38188402a2fd66c6ee3416a4f0.jpg", "expected": "250ml", "predicted": "250ml", "correct": true, "input_tokens": 1147, "output_tokens": 214, "elapsed_seconds": 4.411023666034453, "metadata": {"question": "What capacity text is printed beneath the Fisherbrand logo on the right beaker? Output exactly with no added space (e.g., 100ml).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.4907}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 92, "image": "bab22192-40dc-46bd-b314-ea08adf480e4_input-input-1768993566899-f1f6n85t5_png_jpg.rf.e266ed38188402a2fd66c6ee3416a4f0.jpg", "expected": "150ml", "predicted": "150 ml", "correct": true, "input_tokens": 1156, "output_tokens": 2712, "elapsed_seconds": 32.371200874913484, "metadata": {"question": "What is the liquid level in the leftmost beaker, as read from its printed measurement scale? Format the answer as a number followed by a space and ml (e.g., 100ml).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 32.4511}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 93, "image": "537aaf5f-ca39-4266-beec-32e4e9b2e3aa_png_jpg.rf.7a1f952bb873dc687f3b3f3d0dfe0301.jpg", "expected": "SLV3235L", "predicted": "SLV3235L", "correct": true, "input_tokens": 1167, "output_tokens": 390, "elapsed_seconds": 6.031093499972485, "metadata": {"question": "What is the license plate number on the vehicle? Format the answer as a continuous sequence of uppercase letters and digits with no spaces (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.0385}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 94, "image": "39fe721b-44c4-4a0c-aeac-2897520dfa68_input-input-1781394102861-00bvuicbi_png_jpg.rf.363242f15c7e98f02eea7cb38d065c13.jpg", "expected": "205/60 R 16", "predicted": "205/60 R 16", "correct": true, "input_tokens": 1166, "output_tokens": 674, "elapsed_seconds": 10.3337164579425, "metadata": {"question": "What is the large alphanumeric tire size sequence printed on the right side of the sidewall? Output the exact text including spaces and slashes.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.4096}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 95, "image": "0e4e059a-dffb-4d94-8827-06ec9a325906_input-input-1780878352625-ut880vj94_png_jpg.rf.bfa6b203688cdd30b56b2d4a213fe38e.jpg", "expected": "Brixx", "predicted": "Brixx", "correct": true, "input_tokens": 1159, "output_tokens": 140, "elapsed_seconds": 3.513212416903116, "metadata": {"question": "What restaurant name is printed at the top center of the receipt? Output the text exactly as printed (e.g., Pizzeria Uno).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.5321}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071359", "index": 96, "image": "0e4e059a-dffb-4d94-8827-06ec9a325906_input-input-1780878352625-ut880vj94_png_jpg.rf.bfa6b203688cdd30b56b2d4a213fe38e.jpg", "expected": "501 Meadowmont Village Circle", "predicted": "501 Meadowmont Village Circle", "correct": true, "input_tokens": 1164, "output_tokens": 396, "elapsed_seconds": 5.388212582911365, "metadata": {"question": "What street address is printed directly beneath the \"Brixx\" heading? Output the address exactly as printed (e.g., 123 Main Street).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.4041}} diff --git a/results/extraction_gemini-4-argon_high_20261013_071605.jsonl b/results/extraction_gemini-4-argon_high_20261013_071605.jsonl new file mode 100644 index 0000000..61ebda2 --- /dev/null +++ b/results/extraction_gemini-4-argon_high_20261013_071605.jsonl @@ -0,0 +1,97 @@ +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 0, "image": "9a8c8b2e-fb85-4a29-8a8e-c4d8e90a263c_input-input-1771415218745-lelho5crz_png_jpg.rf.c532e07f580fa8f33418c4e51767f52f.jpg", "expected": "10:27", "predicted": "10:27", "correct": true, "input_tokens": 1184, "output_tokens": 151, "elapsed_seconds": 44.8679248749977, "metadata": {"question": "What is the time displayed in the top left corner of the dashboard? Format the answer exactly as it appears (e.g., 12:34).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 44.9704}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 1, "image": "9a8c8b2e-fb85-4a29-8a8e-c4d8e90a263c_input-input-1771415218745-lelho5crz_png_jpg.rf.c532e07f580fa8f33418c4e51767f52f.jpg", "expected": "7507 km", "predicted": "7507 km", "correct": true, "input_tokens": 1191, "output_tokens": 488, "elapsed_seconds": 19.737039375002496, "metadata": {"question": "What is the total odometer reading shown directly to the right of the 'P' gear indicator? Format the answer exactly as printed including the unit (e.g., 1234 km).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 19.8293}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 2, "image": "9a8c8b2e-fb85-4a29-8a8e-c4d8e90a263c_input-input-1771415218745-lelho5crz_png_jpg.rf.c532e07f580fa8f33418c4e51767f52f.jpg", "expected": "20.5\u00b0C", "predicted": "20.5\u00b0C", "correct": true, "input_tokens": 1191, "output_tokens": 308, "elapsed_seconds": 20.87120179203339, "metadata": {"question": "What is the temperature reading displayed in the top right corner of the dashboard? Format the answer exactly as printed including the degree symbol and unit (e.g., 22.0\u00b0C).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 20.9594}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 3, "image": "66bbef87-2e52-4a5a-8583-f52fbfa7465d_input-input-1778826066883-6t9qhnglh_png_jpg.rf.90a49214642ae3efbd28a7ef58d4a0d0.jpg", "expected": "$254", "predicted": "$254", "correct": true, "input_tokens": 1173, "output_tokens": 133, "elapsed_seconds": 15.56650349998381, "metadata": {"question": "What is the total price for the Icon Room, explicitly stated to include taxes & fees? Output the answer exactly as printed, including the dollar sign.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 15.6068}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 4, "image": "66bbef87-2e52-4a5a-8583-f52fbfa7465d_input-input-1778826066883-6t9qhnglh_png_jpg.rf.90a49214642ae3efbd28a7ef58d4a0d0.jpg", "expected": "1500", "predicted": "1500", "correct": true, "input_tokens": 1183, "output_tokens": 264, "elapsed_seconds": 11.334505792008713, "metadata": {"question": "According to the \"Surroundings\" list on the right side of the page, what is the exact distance in feet to the Richmond Night Market? Output the answer as a single integer without units.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.3786}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 5, "image": "66bbef87-2e52-4a5a-8583-f52fbfa7465d_input-input-1778826066883-6t9qhnglh_png_jpg.rf.90a49214642ae3efbd28a7ef58d4a0d0.jpg", "expected": "9.1", "predicted": "9.1", "correct": true, "input_tokens": 1176, "output_tokens": 164, "elapsed_seconds": 17.30035041598603, "metadata": {"question": "What is the numerical customer review rating out of 10 displayed in the blue circle on the right side of the page? Output the answer as a decimal number.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 17.3442}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 6, "image": "c9b00dcb-e093-43d9-baf8-f1971ff328af_input-input-1769103177177-3x5hfzwbp_png_jpg.rf.95edcd11e5d8724ab285b69ba52f6deb.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1143, "output_tokens": 137, "elapsed_seconds": 11.641175915952772, "metadata": {"question": "What handwritten number appears near the upper left corner of the card? Format the answer as a single digit (e.g., 7).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.6933}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 7, "image": "c9b00dcb-e093-43d9-baf8-f1971ff328af_input-input-1769103177177-3x5hfzwbp_png_jpg.rf.95edcd11e5d8724ab285b69ba52f6deb.jpg", "expected": "G230", "predicted": "G230", "correct": true, "input_tokens": 1144, "output_tokens": 633, "elapsed_seconds": 15.779131458024494, "metadata": {"question": "What is the alphanumeric code printed on the tan half of the capsule? Output the exact text (e.g., \"A123\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 15.8318}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 8, "image": "f0d4c0bf-3a21-41a5-b0c2-c33b94feadb4_input-input-1771859752511-bk56l0pe1_png_jpg.rf.6c4ddb547fa7d14bea520ceb83d179fe.jpg", "expected": "63.490", "predicted": "63.490", "correct": true, "input_tokens": 1147, "output_tokens": 198, "elapsed_seconds": 8.500996834016405, "metadata": {"question": "What is the numerical value for the NET weight in LBS printed on the right door of the shipping container? Format the answer as a number including the decimal point.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.5997}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 9, "image": "f0d4c0bf-3a21-41a5-b0c2-c33b94feadb4_input-input-1771859752511-bk56l0pe1_png_jpg.rf.6c4ddb547fa7d14bea520ceb83d179fe.jpg", "expected": "TCKU 612608 6 45G1", "predicted": "TCKU 612608 6 45G1", "correct": true, "input_tokens": 1153, "output_tokens": 1376, "elapsed_seconds": 30.354571084026247, "metadata": {"question": "What is the complete two-line identification text printed in white on the upper right side of the container doors? Format the answer with a single space separating the top sequence from the bottom sequence.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 30.4535}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 10, "image": "f0d4c0bf-3a21-41a5-b0c2-c33b94feadb4_input-input-1771859752511-bk56l0pe1_png_jpg.rf.6c4ddb547fa7d14bea520ceb83d179fe.jpg", "expected": "2516510", "predicted": "2516890", "correct": false, "input_tokens": 1135, "output_tokens": 11801, "elapsed_seconds": 117.35947316605598, "metadata": {"question": "What is the license plate number on the trailer? Format the answer as a continuous sequence of digits.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 117.4254}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 11, "image": "c9dbd271-e8bd-4a4c-9d90-dcc53a4910f6_input-input-1776792452299-9guc9kcwh_png_jpg.rf.499be0493ce07a3ce99ad741b1087b71.jpg", "expected": "0.40", "predicted": "0.40", "correct": true, "input_tokens": 1177, "output_tokens": 919, "elapsed_seconds": 15.728182999999262, "metadata": {"question": "What time is shown on the left display of the red chess clock behind the board? Format the answer as a time with a colon (e.g., 1.23).", "strict_correct": true, "judge_correct": true, "attempts": 2, "retries": 1, "total_seconds": 79.5275, "transient_errors": ["RemoteProtocolError"]}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 12, "image": "91b13b86-2929-4232-a4d1-a9a98420477e_png_jpg.rf.2d391bd85b3ed91712271a024089677e.jpg", "expected": "GZ808S", "predicted": "GZ808S", "correct": true, "input_tokens": 1172, "output_tokens": 598, "elapsed_seconds": 19.905634499969892, "metadata": {"question": "What is the license plate number on the vehicle? Format the answer as a continuous sequence of uppercase letters and digits with no spaces (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 19.912}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 13, "image": "d2029347-fd3c-40be-8d89-b0e1abf64e9b_input-input-1781204084098-88xr6eavh_png_jpg.rf.21d8156058ed4f8ed2cffba4507eedee.jpg", "expected": "9CGN302", "predicted": "9CGN302", "correct": true, "input_tokens": 1152, "output_tokens": 129, "elapsed_seconds": 8.545134415966459, "metadata": {"question": "What is the license plate number on the rear of the black SUV? Format the answer as a continuous sequence of uppercase letters and digits (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.6173}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 14, "image": "d2029347-fd3c-40be-8d89-b0e1abf64e9b_input-input-1781204084098-88xr6eavh_png_jpg.rf.21d8156058ed4f8ed2cffba4507eedee.jpg", "expected": "7WQV954", "predicted": "7WQV954", "correct": true, "input_tokens": 1156, "output_tokens": 699, "elapsed_seconds": 14.55413479206618, "metadata": {"question": "What is the license plate number on the rear of the grey car in the upper left? Format the answer as a continuous sequence of uppercase letters and digits (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 14.6225}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 15, "image": "d2029347-fd3c-40be-8d89-b0e1abf64e9b_input-input-1781204084098-88xr6eavh_png_jpg.rf.21d8156058ed4f8ed2cffba4507eedee.jpg", "expected": "YUKON", "predicted": "YUKON", "correct": true, "input_tokens": 1149, "output_tokens": 174, "elapsed_seconds": 6.6173553329426795, "metadata": {"question": "What text is written in silver letters on the lower left of the black SUV's tailgate? Output the exact text as printed (e.g., EXPLORER).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.6858}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 16, "image": "020c3db8-dcc2-40e0-bf26-c874edb1612b_png_jpg.rf.a299e53bc85c66b204fae58e26a1e19b.jpg", "expected": "NCY1", "predicted": "NCY1", "correct": true, "input_tokens": 1178, "output_tokens": 557, "elapsed_seconds": 16.52741387509741, "metadata": {"question": "What is the item code listed directly above 'CDMF' in the 'Item Code' column? Output the code exactly as printed in uppercase (e.g., ABCD).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 16.5813}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 17, "image": "41a7e177-1031-4d8e-bdee-eecbb1f0d240_input-input-1774997209388-d3qjo2hm2_png_jpg.rf.9a0e0f41aecab5811b006d59b42506db.jpg", "expected": "005708", "predicted": "005708", "correct": true, "input_tokens": 1169, "output_tokens": 202, "elapsed_seconds": 6.81954212510027, "metadata": {"question": "What six-digit meter reading is shown in the black-framed LCD display? Format the answer as a continuous sequence of digits.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.8291}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 18, "image": "26584325-f95e-41e4-9f4b-99afc5ff078d_png_jpg.rf.30e30b60362db55140cd5874abc92899.jpg", "expected": "SIMONE KOVENSKY", "predicted": "SIMONE KOVENSKY", "correct": true, "input_tokens": 1152, "output_tokens": 211, "elapsed_seconds": 8.0008727919776, "metadata": {"question": "What is the name written in the 'CLIENT:' field at the top right of the form? Output the name exactly as written in all capital letters (e.g., JOHN DOE).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.0841}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 19, "image": "c56ead6c-0697-4216-a27e-fbd28c19aaed_input-input-1781393738001-e3qhlmchi_png_jpg.rf.904ea3d34bf309c1a08a8147dd181e22.jpg", "expected": "225/65 R 17", "predicted": "225/65 R 17", "correct": true, "input_tokens": 1203, "output_tokens": 270, "elapsed_seconds": 11.286755457986146, "metadata": {"question": "What is the tire size printed directly to the right of the top-left \"MICHELIN\" brand name? Output the exact text as printed (e.g., 205/55 R 16).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.3355}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 20, "image": "c56ead6c-0697-4216-a27e-fbd28c19aaed_input-input-1781393738001-e3qhlmchi_png_jpg.rf.904ea3d34bf309c1a08a8147dd181e22.jpg", "expected": "POLAND", "predicted": "POLAND", "correct": true, "input_tokens": 1191, "output_tokens": 357, "elapsed_seconds": 8.050430875038728, "metadata": {"question": "What country is printed inside the oval directly below the words \"MADE IN\" on the bottom tire? Output the exact text as printed (e.g., GERMANY).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.0961}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 21, "image": "dce06136-2d24-422b-a3b6-e100c9a4bad1_input-input-1780992231793-0zf74ymfd_png_jpg.rf.d839d1c678628694e2bff03a7de7f25a.jpg", "expected": "1800 22 4020", "predicted": "1800 22 4020", "correct": true, "input_tokens": 1164, "output_tokens": 211, "elapsed_seconds": 4.807273458107375, "metadata": {"question": "What phone number is printed after the line \"OR CALL US AT\"? Output the number exactly as printed, preserving spaces.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.8548}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 22, "image": "dce06136-2d24-422b-a3b6-e100c9a4bad1_input-input-1780992231793-0zf74ymfd_png_jpg.rf.d839d1c678628694e2bff03a7de7f25a.jpg", "expected": "8901491361026", "predicted": "8901491361026", "correct": true, "input_tokens": 1157, "output_tokens": 372, "elapsed_seconds": 28.703677041921765, "metadata": {"question": "What number is printed directly beneath the barcode on the package? Respond with digits only.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 28.7521}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 23, "image": "dce06136-2d24-422b-a3b6-e100c9a4bad1_input-input-1780992231793-0zf74ymfd_png_jpg.rf.d839d1c678628694e2bff03a7de7f25a.jpg", "expected": "558 kcal", "predicted": "558 kcal", "correct": true, "input_tokens": 1168, "output_tokens": 426, "elapsed_seconds": 14.755685833049938, "metadata": {"question": "In the nutritional information table, what is the Energy value per 100g? Respond with the number and unit exactly as shown.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 14.8042}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 24, "image": "145655c9-ac14-4dbb-8925-e2b81fb119e3_input-input-1778072520416-hq28k5crq_png_jpg.rf.4778c32b3806b491466ac777daff1840.jpg", "expected": "0176213", "predicted": "0176213", "correct": true, "input_tokens": 1150, "output_tokens": 503, "elapsed_seconds": 10.145566625054926, "metadata": {"question": "What is the large, bold, seven digit number printed at the bottom right corner of the label attached to the metal shelf? Format the answer as a continuous sequence of digits.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.2133}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 25, "image": "145655c9-ac14-4dbb-8925-e2b81fb119e3_input-input-1778072520416-hq28k5crq_png_jpg.rf.4778c32b3806b491466ac777daff1840.jpg", "expected": "36", "predicted": "36", "correct": true, "input_tokens": 1142, "output_tokens": 1757, "elapsed_seconds": 22.01358575001359, "metadata": {"question": "What is the total number of white PVC profile cross-sections visible in the entire stack? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 22.0852}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 26, "image": "47ad34a1-d784-48fd-bf0b-9814791703e3_input-input-1779422613724-1i91z3id8_png_jpg.rf.b05b9398755d107d94666106dd5d8aa8.jpg", "expected": "6315", "predicted": "6315", "correct": true, "input_tokens": 1169, "output_tokens": 260, "elapsed_seconds": 6.168518624966964, "metadata": {"question": "What fleet number is printed on the rear window of the yellow bus at the right edge? Format the answer as a continuous sequence of digits (e.g., 1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.2432}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 27, "image": "47ad34a1-d784-48fd-bf0b-9814791703e3_input-input-1779422613724-1i91z3id8_png_jpg.rf.b05b9398755d107d94666106dd5d8aa8.jpg", "expected": "ZL 7237", "predicted": "ZL 7237", "correct": true, "input_tokens": 1168, "output_tokens": 126, "elapsed_seconds": 4.3084286249941215, "metadata": {"question": "What is the license plate number of the black SUV in the foreground right lane? Format the answer exactly as printed, including spaces (e.g., AB 1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.3852}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 28, "image": "cc68304c-144a-4975-a93a-d8efa85db6ed_input-input-1769095484858-rohdg9mmc_png_jpg.rf.378e0d7628c9899c5d343c8f700ca50b.jpg", "expected": "34", "predicted": "34", "correct": true, "input_tokens": 1170, "output_tokens": 402, "elapsed_seconds": 7.354083750047721, "metadata": {"question": "What is the large number displayed on the digital screen of the device? Output the exact number.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.4096}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 29, "image": "d489f405-013e-4e8b-968a-1d9db2060050_png_jpg.rf.b6ede8915c0c026e32f0e8d070b1d247.jpg", "expected": "18", "predicted": "18", "correct": true, "input_tokens": 1170, "output_tokens": 582, "elapsed_seconds": 7.116144958999939, "metadata": {"question": "What is the total quantity (QTY) of all items described as \"Air Filter\" in the DESCRIPTION column? Output the final sum as a single integer (e.g., 15).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.1324}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 30, "image": "d0b99ce8-8a3b-4d1d-98d4-b34137b19f08_input-input-1768805031339-rs4dctz0p_png_jpg.rf.0b9ba7244c8f71c6879248740d0f2a0d.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1176, "output_tokens": 307, "elapsed_seconds": 25.043123916955665, "metadata": {"question": "Counting rows from the top starting at 1, in which row is the green 'American Bankers Association' stamp located? Output the row number as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 25.1448}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 31, "image": "06072daf-424d-471e-a5cb-f8821cf88eb6_input-input-1772637869821-qu9ua1cb8_png_jpg.rf.dbc22b4330271e95f97fe41a59e1179c.jpg", "expected": "0.1", "predicted": "0.1", "correct": true, "input_tokens": 1165, "output_tokens": 266, "elapsed_seconds": 6.613892416935414, "metadata": {"question": "What is the exact numerical value listed for Trans Fat per 100g? Format the answer as a decimal number.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.6632}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 32, "image": "06072daf-424d-471e-a5cb-f8821cf88eb6_input-input-1772637869821-qu9ua1cb8_png_jpg.rf.dbc22b4330271e95f97fe41a59e1179c.jpg", "expected": "CONSUMER.FEEDBACK@PEPSICO.COM", "predicted": "CONSUMER.FEEDBACK@PEPSICO.COM", "correct": true, "input_tokens": 1160, "output_tokens": 260, "elapsed_seconds": 5.392113792011514, "metadata": {"question": "What is the email address provided for consumer feedback or queries? Output the email address exactly as printed.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.4399}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 33, "image": "06072daf-424d-471e-a5cb-f8821cf88eb6_input-input-1772637869821-qu9ua1cb8_png_jpg.rf.dbc22b4330271e95f97fe41a59e1179c.jpg", "expected": "8901491001137", "predicted": "8901491001137", "correct": true, "input_tokens": 1165, "output_tokens": 362, "elapsed_seconds": 5.403701292001642, "metadata": {"question": "What is the 13-digit number printed directly below the barcode? Format the answer as a continuous sequence of digits.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.4543}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 34, "image": "5382e8f7-15f4-42a9-a54d-379a13cef073_input-input-1778848976488-hc2g5oq4u_png_jpg.rf.00a60ea7c1d1fe980ffa61040dbb248a.jpg", "expected": "13877350", "predicted": "13877350", "correct": true, "input_tokens": 1146, "output_tokens": 308, "elapsed_seconds": 5.790826834039763, "metadata": {"question": "What is the exact eight-digit number printed directly beneath the barcode in the top center \"Process Order\" section? Output the answer as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.9097}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 35, "image": "5382e8f7-15f4-42a9-a54d-379a13cef073_input-input-1778848976488-hc2g5oq4u_png_jpg.rf.00a60ea7c1d1fe980ffa61040dbb248a.jpg", "expected": "23:59:59", "predicted": "23:59:59", "correct": true, "input_tokens": 1146, "output_tokens": 340, "elapsed_seconds": 15.848925417056307, "metadata": {"question": "What is the precise time listed under \"Scheduled Finish\" in the Production Scheduler section? Format the answer exactly as it appears (HH:MM:SS)", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 15.9677}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 36, "image": "df23429e-5fcf-4520-b958-bc8eda842562_input-input-1779516894552-yx6kf3wwi_png_jpg.rf.162bd99f2b2cc0a242610ac878dada35.jpg", "expected": "000865491059", "predicted": "000865491059", "correct": true, "input_tokens": 1175, "output_tokens": 296, "elapsed_seconds": 9.345934666926041, "metadata": {"question": "What TIN is printed beside the QR code near the top right of the receipt? Format the answer as a continuous sequence of digits (e.g., 123456789012).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.4405}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 37, "image": "df23429e-5fcf-4520-b958-bc8eda842562_input-input-1779516894552-yx6kf3wwi_png_jpg.rf.162bd99f2b2cc0a242610ac878dada35.jpg", "expected": "GAX2354", "predicted": "GAX2354", "correct": true, "input_tokens": 1164, "output_tokens": 179, "elapsed_seconds": 5.465883624972776, "metadata": {"question": "What plate number is printed in large type under the 'PAYMENT DETAILS' header? Output the text exactly as printed (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.5642}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 38, "image": "df23429e-5fcf-4520-b958-bc8eda842562_input-input-1779516894552-yx6kf3wwi_png_jpg.rf.162bd99f2b2cc0a242610ac878dada35.jpg", "expected": "0760-000000202792", "predicted": "0760-000000202792", "correct": true, "input_tokens": 1186, "output_tokens": 471, "elapsed_seconds": 12.784727999940515, "metadata": {"question": "What is the long number printed immediately to the right of the dark \"OFFICIAL RECEIPT\" box? Format the answer as a continuous sequence of digits and hyphens (e.g., 1234-000000123456).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 12.88}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 39, "image": "1710a83d-1506-464e-83bf-f015141f1c37_input-input-1779171626146-78hoa3cju_png_jpg.rf.a4a6a3c3c8761b330dfe9cd2bc8a847a.jpg", "expected": "Thursday 22", "predicted": "Thursday 22", "correct": true, "input_tokens": 1183, "output_tokens": 185, "elapsed_seconds": 4.600276917102747, "metadata": {"question": "What is the specific day of the week and date highlighted with a solid blue background on the right side of the calendar grid? Format the answer exactly as \"[Day of week] [Date number]\".", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.6151}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 40, "image": "fc6e5e8d-4b33-4a20-a63a-96c0205ae8f6_png_jpg.rf.25fdc583a5ef5268cc575d85fb3c0924.jpg", "expected": "189300", "predicted": "189300", "correct": true, "input_tokens": 1185, "output_tokens": 343, "elapsed_seconds": 6.121596207958646, "metadata": {"question": "What is the handwritten number written directly after \"R#\" at the bottom right corner of the page? Format the answer as a continuous sequence of digits (e.g., 123456).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.1514}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 41, "image": "76b25762-3b57-4158-9fab-945416165ada_png_jpg.rf.f417d6fc1ac47927bd5024452bf580e7.jpg", "expected": "#1123656-1", "predicted": "#1123656-1", "correct": true, "input_tokens": 1167, "output_tokens": 215, "elapsed_seconds": 22.701416249969043, "metadata": {"question": "What is the check number printed directly below the date 'TUE JANUARY 20, 2026'? Format the answer exactly as printed, including the hash symbol and hyphen (e.g., #123456-7).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 22.8349}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 42, "image": "c3f661e1-1ce5-4c6b-ba39-f052aa469ae2_input-input-1780892587755-2dtxi0at3_png_jpg.rf.2e59559f9c0a22eb34f879380e77c649.jpg", "expected": "Andrew Ainsley", "predicted": "Andrew Ainsley", "correct": true, "input_tokens": 1159, "output_tokens": 196, "elapsed_seconds": 4.270209583104588, "metadata": {"question": "What full name is shown beneath the 'Full Name' label? Output the text exactly as printed, preserving capitalization (e.g., Jane Doe).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.2881}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 43, "image": "c3f661e1-1ce5-4c6b-ba39-f052aa469ae2_input-input-1780892587755-2dtxi0at3_png_jpg.rf.2e59559f9c0a22eb34f879380e77c649.jpg", "expected": "+1-300-555-0399", "predicted": "+1-300-555-0399", "correct": true, "input_tokens": 1170, "output_tokens": 152, "elapsed_seconds": 3.98324158298783, "metadata": {"question": "What phone number is shown beneath the 'Phone Number' label? Output the phone number exactly as printed (e.g., +1-222-333-4444).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.0174}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 44, "image": "acc53733-7609-4a88-9125-d9671368e31c_png_jpg.rf.1ebb25f78d83e52eabcdf2422409904b.jpg", "expected": "1:31.396", "predicted": "1:31.396", "correct": true, "input_tokens": 1196, "output_tokens": 299, "elapsed_seconds": 19.823846374987625, "metadata": {"question": "What is the lap time displayed next to the driver \"NOR\" at the top of the timing tower? Format the answer exactly as it appears on screen (e.g., 1:23.456).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 19.8676}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 45, "image": "fc635714-9747-4562-934a-76a998f30986_input-input-1769516774340-ndngcy0b8_png_jpg.rf.69006b774b46928d96d99b793ff005ee.jpg", "expected": "09/2023", "predicted": "09/2023", "correct": true, "input_tokens": 1192, "output_tokens": 554, "elapsed_seconds": 12.708289916045032, "metadata": {"question": "What is the date printed vertically along the left edge of the central blister pack? Format the answer exactly as it appears, including any punctuation (e.g., 12/2025).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 12.7592}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 46, "image": "25e6ed9c-2d37-4533-8021-977770aa97d1_input-input-1780691294811-oql9y0w9f_png_jpg.rf.c03fb5cccd8a068f05019d0a4d371fc7.jpg", "expected": "026", "predicted": "026", "correct": true, "input_tokens": 1179, "output_tokens": 627, "elapsed_seconds": 13.067716792109422, "metadata": {"question": "What is the three-digit identification number printed on the white roof of the truck cab? Format the answer as a sequence of three digits.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 13.1211}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 47, "image": "1ad1c779-b18f-4aaa-9cf0-6155cb19879b_input-input-1769444672197-ug2bdacps_png_jpg.rf.995e162e3e39f5709ab077e0fbe2798b.jpg", "expected": "03/2027", "predicted": "The stamped expiration date is too blurry and degraded to read clearly. Please provide a clearer, higher-resolution image so I can read it accurately.", "correct": false, "input_tokens": 1164, "output_tokens": 683, "elapsed_seconds": 10.175695042009465, "metadata": {"question": "What is the expiration date stamped at the bottom right corner of the left blister pack? Format the answer exactly as printed.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 10.1917}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 48, "image": "295f6019-a4f4-4a00-bb7b-6edfc37f54b6_input-input-1772410888497-d7tv6uegi_png_jpg.rf.efb04911d99ad83c1ce8d416c9966d16.jpg", "expected": "7811897358", "predicted": "7811897358", "correct": true, "input_tokens": 1138, "output_tokens": 380, "elapsed_seconds": 8.298872500075959, "metadata": {"question": "What is the NIP number printed near the top of the receipt? Format the answer as a continuous sequence of digits.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.3994}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 49, "image": "21a6d806-d16e-4452-a2e3-7fa520bd671d_input-input-1769360430457-50a88jpis_png_jpg.rf.aa61306d9e54120882fabd13146cb148.jpg", "expected": "DIN 912 M8x25", "predicted": "DIN 912 M8x25", "correct": true, "input_tokens": 1151, "output_tokens": 308, "elapsed_seconds": 6.940051291952841, "metadata": {"question": "What is the exact text printed on the white label attached to the front of the middle plastic bin? Format the answer exactly as it appears in the image, preserving capitalization and spacing.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.0621}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 50, "image": "db35c41c-a9ed-41bc-96cf-60186d715477_input-input-1774653477270-a4j6j7v6e_png_jpg.rf.57d75a03d42f0fc2b1029367596197db.jpg", "expected": "218", "predicted": "218", "correct": true, "input_tokens": 1188, "output_tokens": 270, "elapsed_seconds": 6.268825458944775, "metadata": {"question": "What number is printed on the side of the large white crane in the upper right background? Format the answer as a continuous sequence of digits (e.g., 123).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.3167}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 51, "image": "ac750e7d-de93-4813-828d-409d16bd176b_png_jpg.rf.8ce341df035e51f25255571745407ba8.jpg", "expected": "Rev #1", "predicted": "Rev #1", "correct": true, "input_tokens": 1161, "output_tokens": 158, "elapsed_seconds": 4.1856433330103755, "metadata": {"question": "What is the handwritten text located at the top right corner of the page, above the \"OVERVIEW\" heading? Output the text exactly as written (e.g., Text #1).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.2087}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 52, "image": "f5be5818-9476-456d-be90-9636ea5b6baa_input-input-1775884904023-qoueoyinv_png_jpg.rf.bbf654b12e9dfcd3cdde57ef87b4b7d6.jpg", "expected": "510-795-6305", "predicted": "510-795-6305", "correct": true, "input_tokens": 1165, "output_tokens": 255, "elapsed_seconds": 8.57134458294604, "metadata": {"question": "What phone number is printed on the 'Fremont Hub' line below the bullseye logo? Format the answer exactly as a phone number with hyphens (e.g., 123-456-7890).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.6102}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 53, "image": "f5be5818-9476-456d-be90-9636ea5b6baa_input-input-1775884904023-qoueoyinv_png_jpg.rf.bbf654b12e9dfcd3cdde57ef87b4b7d6.jpg", "expected": "39201 Fremont Blvd", "predicted": "39201 Fremont Blvd", "correct": true, "input_tokens": 1151, "output_tokens": 222, "elapsed_seconds": 4.768080499954522, "metadata": {"question": "What street address is printed on the line below 'Fremont Hub'? Output the address exactly as printed (e.g., 12345 Main St).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.816}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 54, "image": "f5be5818-9476-456d-be90-9636ea5b6baa_input-input-1775884904023-qoueoyinv_png_jpg.rf.bbf654b12e9dfcd3cdde57ef87b4b7d6.jpg", "expected": "01/16/2026", "predicted": "01/16/2026", "correct": true, "input_tokens": 1155, "output_tokens": 173, "elapsed_seconds": 4.558587249950506, "metadata": {"question": "What date is printed on the line directly above the barcode? Format the answer as MM/DD/YYYY (e.g., 04/05/2024).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.5968}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 55, "image": "f5be5818-9476-456d-be90-9636ea5b6baa_input-input-1775884904023-qoueoyinv_png_jpg.rf.bbf654b12e9dfcd3cdde57ef87b4b7d6.jpg", "expected": "$29.99", "predicted": "$29.99", "correct": true, "input_tokens": 1154, "output_tokens": 157, "elapsed_seconds": 3.9303928749868646, "metadata": {"question": "What is the price listed for the \"BRITA ON TAP\" item in the KITCHEN section? Format the answer exactly as a dollar amount (e.g., $XX.XX).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.9686}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 56, "image": "f5be5818-9476-456d-be90-9636ea5b6baa_input-input-1775884904023-qoueoyinv_png_jpg.rf.bbf654b12e9dfcd3cdde57ef87b4b7d6.jpg", "expected": "245090218", "predicted": "245090218", "correct": true, "input_tokens": 1161, "output_tokens": 207, "elapsed_seconds": 4.148005000082776, "metadata": {"question": "What is the nine-digit item number printed to the left of \"BIOTRUE\"? Format the answer as a continuous sequence of digits (e.g., 890149100).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.1892}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 57, "image": "e6e06b1b-da53-41ac-bfdf-9316443ff037_png_jpg.rf.c1d6533563d5395cd9da770734324ce4.jpg", "expected": "31/3/24", "predicted": "31/3/24", "correct": true, "input_tokens": 1186, "output_tokens": 155, "elapsed_seconds": 7.026392875006422, "metadata": {"question": "What is the handwritten date written at the top left corner of the left page? Format the answer exactly as written (e.g., DD/M/YY).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.0791}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 58, "image": "1a2826ae-6b4f-402d-871c-c99feec8673f_input-input-1773615096287-0i6s4vldj_png_jpg.rf.0bb97f973f3ca866a8ddeff16f4a9ab8.jpg", "expected": "4e63b-59184", "predicted": "4e63b-59184", "correct": true, "input_tokens": 1199, "output_tokens": 465, "elapsed_seconds": 6.30474408401642, "metadata": {"question": "What is the first recovery code in the right column inside the dark code box? Format the answer as lowercase letters, digits, and a hyphen exactly as printed (e.g., ab123-cd456).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.3283}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 59, "image": "3250b041-2ce2-4500-a99d-6f95f5536be5_input-input-1779670032347-3m1xayuws_png_jpg.rf.f45bb85a65adb055ae0b0ce37334eb6d.jpg", "expected": "225/55 ZR 17", "predicted": "225/55 ZR 17", "correct": true, "input_tokens": 1165, "output_tokens": 409, "elapsed_seconds": 8.098534791963175, "metadata": {"question": "What is the large tire-size marking beside the checkered-flag logo? Output the text exactly as printed, preserving spaces and symbols (e.g., 205/60 R 16).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.1698}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 60, "image": "04a7e555-066a-4662-be7d-1fab1d0a89bb_input-input-1773204169910-pu44i2o85_png_jpg.rf.f1ffe888c2d54063f42898d657dfa906.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1140, "output_tokens": 458, "elapsed_seconds": 9.765671332948841, "metadata": {"question": "Which whole number on the dial is the needle of the main gauge pointing closest to? Output the answer as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.8436}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 61, "image": "9524ed4d-178c-4051-9357-7c560b07815a_png_jpg.rf.59849ff479e380b534b74d0addc8a4e5.jpg", "expected": "GBK9951P", "predicted": "GBK9951P", "correct": true, "input_tokens": 1162, "output_tokens": 164, "elapsed_seconds": 6.662881915923208, "metadata": {"question": "What is the license plate number on the vehicle? Format the answer as a continuous sequence of uppercase letters and digits with no spaces (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.6956}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 62, "image": "4bd1305c-ba69-4b95-acbd-aeedcde5aeb5_input-input-1778614713022-g8ey7mf8j_png_jpg.rf.05583223686725fe6e962b4344e9fc7c.jpg", "expected": "2026-02-10 14:30:56", "predicted": "2026-02-10 14:30:56", "correct": true, "input_tokens": 1172, "output_tokens": 370, "elapsed_seconds": 6.595397750032134, "metadata": {"question": "What timestamp is overlaid near the top-right corner of the image? Output the timestamp exactly as printed.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.6397}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 63, "image": "2147a9a8-913a-4b7f-9b36-908eb54628d3_input-input-1771463083999-cj6damrec_png_jpg.rf.b1aa904aaf7b7942d731f9a9f25bc3e1.jpg", "expected": "06-28-2014", "predicted": "06-28-2014", "correct": true, "input_tokens": 1163, "output_tokens": 295, "elapsed_seconds": 5.842785916989669, "metadata": {"question": "What is the exact date printed in the bottom left section of the receipt, just below the item count? Format the answer exactly as it appears in the image.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.8916}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 64, "image": "2147a9a8-913a-4b7f-9b36-908eb54628d3_input-input-1771463083999-cj6damrec_png_jpg.rf.b1aa904aaf7b7942d731f9a9f25bc3e1.jpg", "expected": "3.79", "predicted": "3.79", "correct": true, "input_tokens": 1168, "output_tokens": 459, "elapsed_seconds": 5.826470625004731, "metadata": {"question": "What is the numerical price listed in the right column for the item specifically named \"EGGS 1 DOZ ORGANIC BROWN.\"? Output the price as a decimal number without currency symbols.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.8724}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 65, "image": "2147a9a8-913a-4b7f-9b36-908eb54628d3_input-input-1771463083999-cj6damrec_png_jpg.rf.b1aa904aaf7b7942d731f9a9f25bc3e1.jpg", "expected": "$40.00", "predicted": "$40.00", "correct": true, "input_tokens": 1170, "output_tokens": 265, "elapsed_seconds": 5.248505583032966, "metadata": {"question": "What is the exact cash amount tendered, printed directly to the right of the bold word \"CASH\" near the bottom of the receipt? Format the answer exactly as printed, including the dollar sign.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.2979}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 66, "image": "c1300d50-94fc-4081-b871-8338cef58e16_input-input-1778695950497-jbtexy630_png_jpg.rf.6fbb0636423109f2dfca5f2a22a6883a.jpg", "expected": "10:26", "predicted": "10:26", "correct": true, "input_tokens": 1190, "output_tokens": 184, "elapsed_seconds": 4.097316917032003, "metadata": {"question": "What is the time remaining in the period displayed in the center of the top scoreboard? Format the answer exactly as it appears on the screen (e.g., 12:34).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.1381}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 67, "image": "c1300d50-94fc-4081-b871-8338cef58e16_input-input-1778695950497-jbtexy630_png_jpg.rf.6fbb0636423109f2dfca5f2a22a6883a.jpg", "expected": "53", "predicted": "53", "correct": true, "input_tokens": 1186, "output_tokens": 222, "elapsed_seconds": 4.506357416976243, "metadata": {"question": "What is the total combined number of shots taken by both teams as displayed on the top scoreboard? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.5459}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 68, "image": "c1300d50-94fc-4081-b871-8338cef58e16_input-input-1778695950497-jbtexy630_png_jpg.rf.6fbb0636423109f2dfca5f2a22a6883a.jpg", "expected": "SEA 1 - TOR 1", "predicted": "SEA 1 - TOR 1", "correct": true, "input_tokens": 1189, "output_tokens": 90, "elapsed_seconds": 3.672235791105777, "metadata": {"question": "What is the current score shown on the top scoreboard? Format your answer as ABC N - ABC N using the two team abbreviations (e.g., SEA 1 - TOR 2).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.7128}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 69, "image": "eeee1640-5005-460c-a3f3-12dfff951fc5_png_jpg.rf.648ce83a788a4eb5a650235397675f44.jpg", "expected": "PC5949A", "predicted": "PC5949A", "correct": true, "input_tokens": 1162, "output_tokens": 288, "elapsed_seconds": 5.252068332978524, "metadata": {"question": "What is the license plate number on the vehicle? Format the answer as a continuous sequence of uppercase letters and digits with no spaces (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.2973}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 70, "image": "93441566-50c0-4bfb-9a31-437a2bc5e4f2_png_jpg.rf.078ab0583bc75e5a47971dc175d8a0a3.jpg", "expected": "OP01-013", "predicted": "OP01-013", "correct": true, "input_tokens": 1191, "output_tokens": 332, "elapsed_seconds": 5.247412082972005, "metadata": {"question": "What is the alphanumeric card code printed in the bottom right corner just before the block icon? Output the exact text as printed (e.g., \"OP02-001\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.2651}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 71, "image": "93441566-50c0-4bfb-9a31-437a2bc5e4f2_png_jpg.rf.078ab0583bc75e5a47971dc175d8a0a3.jpg", "expected": "3000", "predicted": "3000", "correct": true, "input_tokens": 1192, "output_tokens": 157, "elapsed_seconds": 9.091913999989629, "metadata": {"question": "What power value is printed in the white box at the top-right corner of the card? Format the answer as a continuous sequence of digits (e.g., 7000).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.1087}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 72, "image": "94f3adfa-0184-4872-8eb9-9f24e1a81a95_png_jpg.rf.2be986b2ba0f23bc57b7056a30d7423b.jpg", "expected": "1:26.0", "predicted": "1:26.0", "correct": true, "input_tokens": 1191, "output_tokens": 251, "elapsed_seconds": 4.539247332955711, "metadata": {"question": "What lap time is shown in large white digits inside the center HAMILTON panel? Format the answer exactly as a time with a colon and decimal (e.g., 1:23.4).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.5927}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 73, "image": "36e6af65-9cf0-4b16-b5b2-2dbf5d54ffae_input-input-1778190001786-w0937ikxt_png_jpg.rf.e59dce98ea670882a0a0bfb3e59730b2.jpg", "expected": "14", "predicted": "14", "correct": true, "input_tokens": 1173, "output_tokens": 1622, "elapsed_seconds": 16.50892420799937, "metadata": {"question": "What is the total number of empty ports on the white panel? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 16.5449}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 74, "image": "33299f4b-1857-4400-a31d-677ecd2c277a_input-input-1771415890481-7pfiombu0_png_jpg.rf.feabb125c41c69cf7d8c3aca315be50d.jpg", "expected": "12:07:56", "predicted": "12:07:56", "correct": true, "input_tokens": 1155, "output_tokens": 100, "elapsed_seconds": 4.773949624970555, "metadata": {"question": "What is the exact time displayed in the timestamp at the top left corner of the image? Format the answer exactly as HH:MM:SS.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.8377}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 75, "image": "621387a6-d868-4912-90f1-7e8abd9df0c0_png_jpg.rf.a8276e972135e7eecb7d2d74936e608e.jpg", "expected": "TISSOT", "predicted": "TISSOT", "correct": true, "input_tokens": 1175, "output_tokens": 182, "elapsed_seconds": 5.023761249962263, "metadata": {"question": "aahat brand name is printed upside-down in large letters in the lower half of the watch dial? Output the exact text as printed (e.g., ROLEX).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.1243}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 76, "image": "621387a6-d868-4912-90f1-7e8abd9df0c0_png_jpg.rf.a8276e972135e7eecb7d2d74936e608e.jpg", "expected": "15", "predicted": "15", "correct": true, "input_tokens": 1178, "output_tokens": 822, "elapsed_seconds": 11.850299165933393, "metadata": {"question": "What number is visible in the small date window near the upper-left edge of the blue dial? Format the answer as a continuous sequence of digits (e.g., 24).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.9456}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 77, "image": "0e9ddffb-4d1d-4c64-bfce-3e518dd1c8ae_input-input-1779391692177-bujnsi4tk_png_jpg.rf.36d93ac4b35d2ac11fcc66f37ebddb4b.jpg", "expected": "2 000111 111112", "predicted": "2 000111 111112", "correct": true, "input_tokens": 1144, "output_tokens": 585, "elapsed_seconds": 7.245032582897693, "metadata": {"question": "What is the sequence of digits printed directly alongside the barcode on the left side of the meter? Format the answer exactly as printed, including spaces.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.3691}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 78, "image": "9557f58e-ee73-4877-8bff-54aaa8bee062_input-input-1769507524173-1hzc9hfio_png_jpg.rf.a5376988f390a31b2c12912c07892281.jpg", "expected": "18", "predicted": "18", "correct": true, "input_tokens": 1174, "output_tokens": 1040, "elapsed_seconds": 13.239674750017002, "metadata": {"question": "What number is displayed clearly on the uppermost, flat face of the die? Output the answer as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 13.2985}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 79, "image": "f0c68933-64c5-49e6-8845-707afdc32a4e_input-input-1776058768062-tn8vkqrxk_png_jpg.rf.5d66532520dc17be0083a5fe2664c963.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1168, "output_tokens": 404, "elapsed_seconds": 7.074571333010681, "metadata": {"question": "What number is displayed in red on the digital indicator above the leftmost elevator doors? Output the exact digit (e.g., 5).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.1564}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 80, "image": "f0c68933-64c5-49e6-8845-707afdc32a4e_input-input-1776058768062-tn8vkqrxk_png_jpg.rf.5d66532520dc17be0083a5fe2664c963.jpg", "expected": "14", "predicted": "14", "correct": true, "input_tokens": 1176, "output_tokens": 468, "elapsed_seconds": 7.894694957998581, "metadata": {"question": "What floor is this scene on, based on any floor signage or indicators visible in the image? Format the answer as a continuous sequence of digits (e.g., 5).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.9708}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 81, "image": "4409ba1c-5b55-47e4-8fb3-ed245021d0bb_input-input-1776892569933-6scj88bzo_png_jpg.rf.c5d4d0e67097acc2dc0e5a026f4d5514.jpg", "expected": "NEXT", "predicted": "NEXT", "correct": true, "input_tokens": 1143, "output_tokens": 93, "elapsed_seconds": 3.388049124972895, "metadata": {"question": "What retailer name is printed in large letters near the left side of the receipt? Output the exact uppercase word (e.g., STORE).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.4613}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 82, "image": "4409ba1c-5b55-47e4-8fb3-ed245021d0bb_input-input-1776892569933-6scj88bzo_png_jpg.rf.c5d4d0e67097acc2dc0e5a026f4d5514.jpg", "expected": "0333 0055 512", "predicted": "0333 0055 512", "correct": true, "input_tokens": 1165, "output_tokens": 219, "elapsed_seconds": 4.638047375017777, "metadata": {"question": "What telephone number is printed on the line beginning with 'TEL' beneath 'London New Retail 0512'? Output the number exactly with spaces (e.g., 0123 4567 890).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.7091}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 83, "image": "4409ba1c-5b55-47e4-8fb3-ed245021d0bb_input-input-1776892569933-6scj88bzo_png_jpg.rf.c5d4d0e67097acc2dc0e5a026f4d5514.jpg", "expected": "14 Mar 2026", "predicted": "14 Mar 2026", "correct": true, "input_tokens": 1155, "output_tokens": 196, "elapsed_seconds": 4.637810167041607, "metadata": {"question": "What calendar date is printed on the timestamp line beneath the TEL line? Output the date exactly as printed without the weekday or time (e.g., 01 Jan 2026).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.7104}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 84, "image": "4409ba1c-5b55-47e4-8fb3-ed245021d0bb_input-input-1776892569933-6scj88bzo_png_jpg.rf.c5d4d0e67097acc2dc0e5a026f4d5514.jpg", "expected": "\u00a397.00", "predicted": "\u00a397.00", "correct": true, "input_tokens": 1156, "output_tokens": 265, "elapsed_seconds": 4.8250152909895405, "metadata": {"question": "What total refund amount is printed next to 'TOTAL REFUNDED TO ACCOUNT' in the middle of the receipt? Format the answer exactly as a pound amount (e.g., \u00a3XX.XX).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.9017}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 85, "image": "19f45907-d682-40cf-bb87-9133dc873871_input-input-1778506438615-gyarfruw4_png_jpg.rf.22e9fb7526b6b695a79118f2794a9ab3.jpg", "expected": "037156273", "predicted": "037156273", "correct": true, "input_tokens": 1191, "output_tokens": 466, "elapsed_seconds": 6.66508783295285, "metadata": {"question": "What is the serial number printed directly after \"S/N:\" at the top of the meter? Format the answer as a continuous sequence of digits.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.6869}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 86, "image": "1a8ee468-d168-4cec-bf83-881ad2853ed9_png_jpg.rf.02ee8e87c0ee9b2581f17ccbdb8fa702.jpg", "expected": "NYKU3687780", "predicted": "NYKU3687780", "correct": true, "input_tokens": 1159, "output_tokens": 855, "elapsed_seconds": 8.217780459090136, "metadata": {"question": "What is the vertical container identification code printed on the far left of the blue container? Format the answer as a continuous sequence of letters and numbers without spaces (e.g., ABCD1234567).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.2873}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 87, "image": "1a8ee468-d168-4cec-bf83-881ad2853ed9_png_jpg.rf.02ee8e87c0ee9b2581f17ccbdb8fa702.jpg", "expected": "22G1", "predicted": "22G1", "correct": true, "input_tokens": 1148, "output_tokens": 303, "elapsed_seconds": 5.204039833042771, "metadata": {"question": "Which four-character code is printed vertically directly above the yellow height limit sign on the blue container? Output the code exactly as printed (e.g., ABCD).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.278}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 88, "image": "ae20b44c-9be6-47a5-8002-2c417a2a2441_png_jpg.rf.d312136933cbfcb91483a2dfad0d53bd.jpg", "expected": "Sesame Seed", "predicted": "Sesame Seed", "correct": true, "input_tokens": 1165, "output_tokens": 221, "elapsed_seconds": 3.7383716671029106, "metadata": {"question": "What bold allergen name appears in the ingredients paragraph next to the word \"Paste\"? Output the text exactly as printed (e.g., Wheat).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.749}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 89, "image": "ae20b44c-9be6-47a5-8002-2c417a2a2441_png_jpg.rf.d312136933cbfcb91483a2dfad0d53bd.jpg", "expected": "Per 1/4 pot", "predicted": "Per 1/4 pot", "correct": true, "input_tokens": 1176, "output_tokens": 300, "elapsed_seconds": 4.49276866693981, "metadata": {"question": "Which nutrition table header is immediately to the right of \"Per 100g\" in the row beneath \"NUTRITION\"? Output the text exactly as printed (e.g., Per item).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.5033}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 90, "image": "0212eb3d-e4b1-4ef4-9204-e920654bf677_input-input-1778110710064-oqhw5zz8j_png_jpg.rf.014217c55a8b2da0df65b97e042ed090.jpg", "expected": "$44.99", "predicted": "$44.99", "correct": true, "input_tokens": 1158, "output_tokens": 353, "elapsed_seconds": 12.693932417081669, "metadata": {"question": "What is the price displayed on the green \"Price Cut\" tag directly beneath the Four Roses Single Barrel on the top shelf? Format the answer exactly as a dollar amount (e.g., $XX.XX).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 12.8113}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 91, "image": "bab22192-40dc-46bd-b314-ea08adf480e4_input-input-1768993566899-f1f6n85t5_png_jpg.rf.e266ed38188402a2fd66c6ee3416a4f0.jpg", "expected": "250ml", "predicted": "250ml", "correct": true, "input_tokens": 1147, "output_tokens": 234, "elapsed_seconds": 3.8144954999443144, "metadata": {"question": "What capacity text is printed beneath the Fisherbrand logo on the right beaker? Output exactly with no added space (e.g., 100ml).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.8957}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 92, "image": "bab22192-40dc-46bd-b314-ea08adf480e4_input-input-1768993566899-f1f6n85t5_png_jpg.rf.e266ed38188402a2fd66c6ee3416a4f0.jpg", "expected": "150ml", "predicted": "150 ml", "correct": true, "input_tokens": 1156, "output_tokens": 1543, "elapsed_seconds": 19.337825041962788, "metadata": {"question": "What is the liquid level in the leftmost beaker, as read from its printed measurement scale? Format the answer as a number followed by a space and ml (e.g., 100ml).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 19.4202}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 93, "image": "537aaf5f-ca39-4266-beec-32e4e9b2e3aa_png_jpg.rf.7a1f952bb873dc687f3b3f3d0dfe0301.jpg", "expected": "SLV3235L", "predicted": "SLV3235L", "correct": true, "input_tokens": 1167, "output_tokens": 385, "elapsed_seconds": 5.62587099999655, "metadata": {"question": "What is the license plate number on the vehicle? Format the answer as a continuous sequence of uppercase letters and digits with no spaces (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.6316}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 94, "image": "39fe721b-44c4-4a0c-aeac-2897520dfa68_input-input-1781394102861-00bvuicbi_png_jpg.rf.363242f15c7e98f02eea7cb38d065c13.jpg", "expected": "205/60 R 16", "predicted": "205/60 R 16", "correct": true, "input_tokens": 1166, "output_tokens": 791, "elapsed_seconds": 10.065968832932413, "metadata": {"question": "What is the large alphanumeric tire size sequence printed on the right side of the sidewall? Output the exact text including spaces and slashes.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.1449}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 95, "image": "0e4e059a-dffb-4d94-8827-06ec9a325906_input-input-1780878352625-ut880vj94_png_jpg.rf.bfa6b203688cdd30b56b2d4a213fe38e.jpg", "expected": "Brixx", "predicted": "Brixx", "correct": true, "input_tokens": 1159, "output_tokens": 124, "elapsed_seconds": 2.9040827919961885, "metadata": {"question": "What restaurant name is printed at the top center of the receipt? Output the text exactly as printed (e.g., Pizzeria Uno).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.92}} +{"model": "gemini-4-argon", "effort": "high", "task": "extraction", "timestamp": "20261013_071605", "index": 96, "image": "0e4e059a-dffb-4d94-8827-06ec9a325906_input-input-1780878352625-ut880vj94_png_jpg.rf.bfa6b203688cdd30b56b2d4a213fe38e.jpg", "expected": "501 Meadowmont Village Circle", "predicted": "501 Meadowmont Village Circle", "correct": true, "input_tokens": 1164, "output_tokens": 352, "elapsed_seconds": 6.07993795897346, "metadata": {"question": "What street address is printed directly beneath the \"Brixx\" heading? Output the address exactly as printed (e.g., 123 Main Street).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.0985}} diff --git a/results/extraction_gemini-4-argon_low_20261012_223722.jsonl b/results/extraction_gemini-4-argon_low_20261012_223722.jsonl new file mode 100644 index 0000000..15f0d26 --- /dev/null +++ b/results/extraction_gemini-4-argon_low_20261012_223722.jsonl @@ -0,0 +1,97 @@ +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 0, "image": "9a8c8b2e-fb85-4a29-8a8e-c4d8e90a263c_input-input-1771415218745-lelho5crz_png_jpg.rf.c532e07f580fa8f33418c4e51767f52f.jpg", "expected": "10:27", "predicted": "10:27", "correct": true, "input_tokens": 1184, "output_tokens": 9, "elapsed_seconds": 5.0314767910167575, "metadata": {"question": "What is the time displayed in the top left corner of the dashboard? Format the answer exactly as it appears (e.g., 12:34).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.1244}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 1, "image": "9a8c8b2e-fb85-4a29-8a8e-c4d8e90a263c_input-input-1771415218745-lelho5crz_png_jpg.rf.c532e07f580fa8f33418c4e51767f52f.jpg", "expected": "7507 km", "predicted": "7507 km", "correct": true, "input_tokens": 1191, "output_tokens": 9, "elapsed_seconds": 4.932788000092842, "metadata": {"question": "What is the total odometer reading shown directly to the right of the 'P' gear indicator? Format the answer exactly as printed including the unit (e.g., 1234 km).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.026}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 2, "image": "9a8c8b2e-fb85-4a29-8a8e-c4d8e90a263c_input-input-1771415218745-lelho5crz_png_jpg.rf.c532e07f580fa8f33418c4e51767f52f.jpg", "expected": "20.5\u00b0C", "predicted": "20.5\u00b0C", "correct": true, "input_tokens": 1191, "output_tokens": 10, "elapsed_seconds": 3.694923499948345, "metadata": {"question": "What is the temperature reading displayed in the top right corner of the dashboard? Format the answer exactly as printed including the degree symbol and unit (e.g., 22.0\u00b0C).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.7834}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 3, "image": "66bbef87-2e52-4a5a-8583-f52fbfa7465d_input-input-1778826066883-6t9qhnglh_png_jpg.rf.90a49214642ae3efbd28a7ef58d4a0d0.jpg", "expected": "$254", "predicted": "$254", "correct": true, "input_tokens": 1173, "output_tokens": 8, "elapsed_seconds": 6.331501791952178, "metadata": {"question": "What is the total price for the Icon Room, explicitly stated to include taxes & fees? Output the answer exactly as printed, including the dollar sign.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.3713}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 4, "image": "66bbef87-2e52-4a5a-8583-f52fbfa7465d_input-input-1778826066883-6t9qhnglh_png_jpg.rf.90a49214642ae3efbd28a7ef58d4a0d0.jpg", "expected": "1500", "predicted": "1500", "correct": true, "input_tokens": 1183, "output_tokens": 8, "elapsed_seconds": 3.9055122499121353, "metadata": {"question": "According to the \"Surroundings\" list on the right side of the page, what is the exact distance in feet to the Richmond Night Market? Output the answer as a single integer without units.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.9458}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 5, "image": "66bbef87-2e52-4a5a-8583-f52fbfa7465d_input-input-1778826066883-6t9qhnglh_png_jpg.rf.90a49214642ae3efbd28a7ef58d4a0d0.jpg", "expected": "9.1", "predicted": "9.1", "correct": true, "input_tokens": 1176, "output_tokens": 7, "elapsed_seconds": 4.6303559159860015, "metadata": {"question": "What is the numerical customer review rating out of 10 displayed in the blue circle on the right side of the page? Output the answer as a decimal number.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.6738}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 6, "image": "c9b00dcb-e093-43d9-baf8-f1971ff328af_input-input-1769103177177-3x5hfzwbp_png_jpg.rf.95edcd11e5d8724ab285b69ba52f6deb.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1143, "output_tokens": 5, "elapsed_seconds": 3.1854806669289246, "metadata": {"question": "What handwritten number appears near the upper left corner of the card? Format the answer as a single digit (e.g., 7).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.2385}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 7, "image": "c9b00dcb-e093-43d9-baf8-f1971ff328af_input-input-1769103177177-3x5hfzwbp_png_jpg.rf.95edcd11e5d8724ab285b69ba52f6deb.jpg", "expected": "G230", "predicted": "G230", "correct": true, "input_tokens": 1144, "output_tokens": 8, "elapsed_seconds": 2.8540250420337543, "metadata": {"question": "What is the alphanumeric code printed on the tan half of the capsule? Output the exact text (e.g., \"A123\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9081}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 8, "image": "f0d4c0bf-3a21-41a5-b0c2-c33b94feadb4_input-input-1771859752511-bk56l0pe1_png_jpg.rf.6c4ddb547fa7d14bea520ceb83d179fe.jpg", "expected": "63.490", "predicted": "63.490", "correct": true, "input_tokens": 1147, "output_tokens": 10, "elapsed_seconds": 4.169397708028555, "metadata": {"question": "What is the numerical value for the NET weight in LBS printed on the right door of the shipping container? Format the answer as a number including the decimal point.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.2711}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 9, "image": "f0d4c0bf-3a21-41a5-b0c2-c33b94feadb4_input-input-1771859752511-bk56l0pe1_png_jpg.rf.6c4ddb547fa7d14bea520ceb83d179fe.jpg", "expected": "TCKU 612608 6 45G1", "predicted": "TCKU 612608 6 45G1", "correct": true, "input_tokens": 1153, "output_tokens": 20, "elapsed_seconds": 4.121045124949887, "metadata": {"question": "What is the complete two-line identification text printed in white on the upper right side of the container doors? Format the answer with a single space separating the top sequence from the bottom sequence.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.224}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 10, "image": "f0d4c0bf-3a21-41a5-b0c2-c33b94feadb4_input-input-1771859752511-bk56l0pe1_png_jpg.rf.6c4ddb547fa7d14bea520ceb83d179fe.jpg", "expected": "2516510", "predicted": "2516590", "correct": false, "input_tokens": 1135, "output_tokens": 11, "elapsed_seconds": 5.044364416971803, "metadata": {"question": "What is the license plate number on the trailer? Format the answer as a continuous sequence of digits.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 5.1441}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 11, "image": "c9dbd271-e8bd-4a4c-9d90-dcc53a4910f6_input-input-1776792452299-9guc9kcwh_png_jpg.rf.499be0493ce07a3ce99ad741b1087b71.jpg", "expected": "0.40", "predicted": "0.40", "correct": true, "input_tokens": 1177, "output_tokens": 8, "elapsed_seconds": 4.436292959027924, "metadata": {"question": "What time is shown on the left display of the red chess clock behind the board? Format the answer as a time with a colon (e.g., 1.23).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.4882}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 12, "image": "91b13b86-2929-4232-a4d1-a9a98420477e_png_jpg.rf.2d391bd85b3ed91712271a024089677e.jpg", "expected": "GZ808S", "predicted": "GZ808S", "correct": true, "input_tokens": 1172, "output_tokens": 9, "elapsed_seconds": 2.568288292037323, "metadata": {"question": "What is the license plate number on the vehicle? Format the answer as a continuous sequence of uppercase letters and digits with no spaces (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.5746}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 13, "image": "d2029347-fd3c-40be-8d89-b0e1abf64e9b_input-input-1781204084098-88xr6eavh_png_jpg.rf.21d8156058ed4f8ed2cffba4507eedee.jpg", "expected": "9CGN302", "predicted": "9CGN302", "correct": true, "input_tokens": 1152, "output_tokens": 10, "elapsed_seconds": 4.859067791956477, "metadata": {"question": "What is the license plate number on the rear of the black SUV? Format the answer as a continuous sequence of uppercase letters and digits (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.9283}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 14, "image": "d2029347-fd3c-40be-8d89-b0e1abf64e9b_input-input-1781204084098-88xr6eavh_png_jpg.rf.21d8156058ed4f8ed2cffba4507eedee.jpg", "expected": "7WQV954", "predicted": "7WQV954", "correct": true, "input_tokens": 1156, "output_tokens": 10, "elapsed_seconds": 4.570780667010695, "metadata": {"question": "What is the license plate number on the rear of the grey car in the upper left? Format the answer as a continuous sequence of uppercase letters and digits (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.6387}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 15, "image": "d2029347-fd3c-40be-8d89-b0e1abf64e9b_input-input-1781204084098-88xr6eavh_png_jpg.rf.21d8156058ed4f8ed2cffba4507eedee.jpg", "expected": "YUKON", "predicted": "YUKON", "correct": true, "input_tokens": 1149, "output_tokens": 7, "elapsed_seconds": 2.880733959027566, "metadata": {"question": "What text is written in silver letters on the lower left of the black SUV's tailgate? Output the exact text as printed (e.g., EXPLORER).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9478}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 16, "image": "020c3db8-dcc2-40e0-bf26-c874edb1612b_png_jpg.rf.a299e53bc85c66b204fae58e26a1e19b.jpg", "expected": "NCY1", "predicted": "NCY1", "correct": true, "input_tokens": 1178, "output_tokens": 7, "elapsed_seconds": 4.110153874964453, "metadata": {"question": "What is the item code listed directly above 'CDMF' in the 'Item Code' column? Output the code exactly as printed in uppercase (e.g., ABCD).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.1643}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 17, "image": "41a7e177-1031-4d8e-bdee-eecbb1f0d240_input-input-1774997209388-d3qjo2hm2_png_jpg.rf.9a0e0f41aecab5811b006d59b42506db.jpg", "expected": "005708", "predicted": "005708", "correct": true, "input_tokens": 1169, "output_tokens": 10, "elapsed_seconds": 1.9977017090423033, "metadata": {"question": "What six-digit meter reading is shown in the black-framed LCD display? Format the answer as a continuous sequence of digits.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.0041}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 18, "image": "26584325-f95e-41e4-9f4b-99afc5ff078d_png_jpg.rf.30e30b60362db55140cd5874abc92899.jpg", "expected": "SIMONE KOVENSKY", "predicted": "SIMONE KOVENSKY", "correct": true, "input_tokens": 1152, "output_tokens": 10, "elapsed_seconds": 2.7056772499345243, "metadata": {"question": "What is the name written in the 'CLIENT:' field at the top right of the form? Output the name exactly as written in all capital letters (e.g., JOHN DOE).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7861}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 19, "image": "c56ead6c-0697-4216-a27e-fbd28c19aaed_input-input-1781393738001-e3qhlmchi_png_jpg.rf.904ea3d34bf309c1a08a8147dd181e22.jpg", "expected": "225/65 R 17", "predicted": "225/65 R 17", "correct": true, "input_tokens": 1203, "output_tokens": 14, "elapsed_seconds": 4.249905083095655, "metadata": {"question": "What is the tire size printed directly to the right of the top-left \"MICHELIN\" brand name? Output the exact text as printed (e.g., 205/55 R 16).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.2962}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 20, "image": "c56ead6c-0697-4216-a27e-fbd28c19aaed_input-input-1781393738001-e3qhlmchi_png_jpg.rf.904ea3d34bf309c1a08a8147dd181e22.jpg", "expected": "POLAND", "predicted": "POLAND", "correct": true, "input_tokens": 1191, "output_tokens": 6, "elapsed_seconds": 11.92013537499588, "metadata": {"question": "What country is printed inside the oval directly below the words \"MADE IN\" on the bottom tire? Output the exact text as printed (e.g., GERMANY).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.966}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 21, "image": "dce06136-2d24-422b-a3b6-e100c9a4bad1_input-input-1780992231793-0zf74ymfd_png_jpg.rf.d839d1c678628694e2bff03a7de7f25a.jpg", "expected": "1800 22 4020", "predicted": "1800 22 4020", "correct": true, "input_tokens": 1164, "output_tokens": 16, "elapsed_seconds": 5.772286958061159, "metadata": {"question": "What phone number is printed after the line \"OR CALL US AT\"? Output the number exactly as printed, preserving spaces.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.821}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 22, "image": "dce06136-2d24-422b-a3b6-e100c9a4bad1_input-input-1780992231793-0zf74ymfd_png_jpg.rf.d839d1c678628694e2bff03a7de7f25a.jpg", "expected": "8901491361026", "predicted": "8901491361026", "correct": true, "input_tokens": 1157, "output_tokens": 17, "elapsed_seconds": 4.978133041993715, "metadata": {"question": "What number is printed directly beneath the barcode on the package? Respond with digits only.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.0263}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 23, "image": "dce06136-2d24-422b-a3b6-e100c9a4bad1_input-input-1780992231793-0zf74ymfd_png_jpg.rf.d839d1c678628694e2bff03a7de7f25a.jpg", "expected": "558 kcal", "predicted": "558 kcal", "correct": true, "input_tokens": 1168, "output_tokens": 8, "elapsed_seconds": 2.9532192500773817, "metadata": {"question": "In the nutritional information table, what is the Energy value per 100g? Respond with the number and unit exactly as shown.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.0006}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 24, "image": "145655c9-ac14-4dbb-8925-e2b81fb119e3_input-input-1778072520416-hq28k5crq_png_jpg.rf.4778c32b3806b491466ac777daff1840.jpg", "expected": "0176213", "predicted": "0176213", "correct": true, "input_tokens": 1150, "output_tokens": 11, "elapsed_seconds": 5.123455042019486, "metadata": {"question": "What is the large, bold, seven digit number printed at the bottom right corner of the label attached to the metal shelf? Format the answer as a continuous sequence of digits.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.1907}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 25, "image": "145655c9-ac14-4dbb-8925-e2b81fb119e3_input-input-1778072520416-hq28k5crq_png_jpg.rf.4778c32b3806b491466ac777daff1840.jpg", "expected": "36", "predicted": "36", "correct": true, "input_tokens": 1142, "output_tokens": 6, "elapsed_seconds": 4.229758625035174, "metadata": {"question": "What is the total number of white PVC profile cross-sections visible in the entire stack? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.2962}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 26, "image": "47ad34a1-d784-48fd-bf0b-9814791703e3_input-input-1779422613724-1i91z3id8_png_jpg.rf.b05b9398755d107d94666106dd5d8aa8.jpg", "expected": "6315", "predicted": "6315", "correct": true, "input_tokens": 1169, "output_tokens": 8, "elapsed_seconds": 5.14907004206907, "metadata": {"question": "What fleet number is printed on the rear window of the yellow bus at the right edge? Format the answer as a continuous sequence of digits (e.g., 1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.226}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 27, "image": "47ad34a1-d784-48fd-bf0b-9814791703e3_input-input-1779422613724-1i91z3id8_png_jpg.rf.b05b9398755d107d94666106dd5d8aa8.jpg", "expected": "ZL 7237", "predicted": "ZL 7237", "correct": true, "input_tokens": 1168, "output_tokens": 10, "elapsed_seconds": 5.244176082895137, "metadata": {"question": "What is the license plate number of the black SUV in the foreground right lane? Format the answer exactly as printed, including spaces (e.g., AB 1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.3192}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 28, "image": "cc68304c-144a-4975-a93a-d8efa85db6ed_input-input-1769095484858-rohdg9mmc_png_jpg.rf.378e0d7628c9899c5d343c8f700ca50b.jpg", "expected": "34", "predicted": "34", "correct": true, "input_tokens": 1170, "output_tokens": 6, "elapsed_seconds": 2.293614499969408, "metadata": {"question": "What is the large number displayed on the digital screen of the device? Output the exact number.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.3506}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 29, "image": "d489f405-013e-4e8b-968a-1d9db2060050_png_jpg.rf.b6ede8915c0c026e32f0e8d070b1d247.jpg", "expected": "18", "predicted": "18", "correct": true, "input_tokens": 1170, "output_tokens": 6, "elapsed_seconds": 2.6759090829873458, "metadata": {"question": "What is the total quantity (QTY) of all items described as \"Air Filter\" in the DESCRIPTION column? Output the final sum as a single integer (e.g., 15).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.6931}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 30, "image": "d0b99ce8-8a3b-4d1d-98d4-b34137b19f08_input-input-1768805031339-rs4dctz0p_png_jpg.rf.0b9ba7244c8f71c6879248740d0f2a0d.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1176, "output_tokens": 5, "elapsed_seconds": 3.8858163750264794, "metadata": {"question": "Counting rows from the top starting at 1, in which row is the green 'American Bankers Association' stamp located? Output the row number as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.987}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 31, "image": "06072daf-424d-471e-a5cb-f8821cf88eb6_input-input-1772637869821-qu9ua1cb8_png_jpg.rf.dbc22b4330271e95f97fe41a59e1179c.jpg", "expected": "0.1", "predicted": "0.1", "correct": true, "input_tokens": 1165, "output_tokens": 7, "elapsed_seconds": 2.5974505830090493, "metadata": {"question": "What is the exact numerical value listed for Trans Fat per 100g? Format the answer as a decimal number.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.6432}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 32, "image": "06072daf-424d-471e-a5cb-f8821cf88eb6_input-input-1772637869821-qu9ua1cb8_png_jpg.rf.dbc22b4330271e95f97fe41a59e1179c.jpg", "expected": "CONSUMER.FEEDBACK@PEPSICO.COM", "predicted": "CONSUMER.FEEDBACK@PEPSICO.COM", "correct": true, "input_tokens": 1160, "output_tokens": 14, "elapsed_seconds": 2.873315916978754, "metadata": {"question": "What is the email address provided for consumer feedback or queries? Output the email address exactly as printed.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.921}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 33, "image": "06072daf-424d-471e-a5cb-f8821cf88eb6_input-input-1772637869821-qu9ua1cb8_png_jpg.rf.dbc22b4330271e95f97fe41a59e1179c.jpg", "expected": "8901491001137", "predicted": "8901491001137", "correct": true, "input_tokens": 1165, "output_tokens": 17, "elapsed_seconds": 3.8252775830915198, "metadata": {"question": "What is the 13-digit number printed directly below the barcode? Format the answer as a continuous sequence of digits.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.8718}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 34, "image": "5382e8f7-15f4-42a9-a54d-379a13cef073_input-input-1778848976488-hc2g5oq4u_png_jpg.rf.00a60ea7c1d1fe980ffa61040dbb248a.jpg", "expected": "13877350", "predicted": "13877350", "correct": true, "input_tokens": 1146, "output_tokens": 12, "elapsed_seconds": 3.8077354159904644, "metadata": {"question": "What is the exact eight-digit number printed directly beneath the barcode in the top center \"Process Order\" section? Output the answer as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.9199}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 35, "image": "5382e8f7-15f4-42a9-a54d-379a13cef073_input-input-1778848976488-hc2g5oq4u_png_jpg.rf.00a60ea7c1d1fe980ffa61040dbb248a.jpg", "expected": "23:59:59", "predicted": "23:59:59", "correct": true, "input_tokens": 1146, "output_tokens": 12, "elapsed_seconds": 3.1744896669406444, "metadata": {"question": "What is the precise time listed under \"Scheduled Finish\" in the Production Scheduler section? Format the answer exactly as it appears (HH:MM:SS)", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.286}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 36, "image": "df23429e-5fcf-4520-b958-bc8eda842562_input-input-1779516894552-yx6kf3wwi_png_jpg.rf.162bd99f2b2cc0a242610ac878dada35.jpg", "expected": "000865491059", "predicted": "000865491059", "correct": true, "input_tokens": 1175, "output_tokens": 16, "elapsed_seconds": 3.0641719589475542, "metadata": {"question": "What TIN is printed beside the QR code near the top right of the receipt? Format the answer as a continuous sequence of digits (e.g., 123456789012).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1576}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 37, "image": "df23429e-5fcf-4520-b958-bc8eda842562_input-input-1779516894552-yx6kf3wwi_png_jpg.rf.162bd99f2b2cc0a242610ac878dada35.jpg", "expected": "GAX2354", "predicted": "GAX2354", "correct": true, "input_tokens": 1164, "output_tokens": 10, "elapsed_seconds": 3.374091292032972, "metadata": {"question": "What plate number is printed in large type under the 'PAYMENT DETAILS' header? Output the text exactly as printed (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.466}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 38, "image": "df23429e-5fcf-4520-b958-bc8eda842562_input-input-1779516894552-yx6kf3wwi_png_jpg.rf.162bd99f2b2cc0a242610ac878dada35.jpg", "expected": "0760-000000202792", "predicted": "0760-000000202792", "correct": true, "input_tokens": 1186, "output_tokens": 21, "elapsed_seconds": 2.6662929160520434, "metadata": {"question": "What is the long number printed immediately to the right of the dark \"OFFICIAL RECEIPT\" box? Format the answer as a continuous sequence of digits and hyphens (e.g., 1234-000000123456).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.762}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 39, "image": "1710a83d-1506-464e-83bf-f015141f1c37_input-input-1779171626146-78hoa3cju_png_jpg.rf.a4a6a3c3c8761b330dfe9cd2bc8a847a.jpg", "expected": "Thursday 22", "predicted": "Thursday 22", "correct": true, "input_tokens": 1183, "output_tokens": 8, "elapsed_seconds": 2.3171608339762315, "metadata": {"question": "What is the specific day of the week and date highlighted with a solid blue background on the right side of the calendar grid? Format the answer exactly as \"[Day of week] [Date number]\".", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.3341}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 40, "image": "fc6e5e8d-4b33-4a20-a63a-96c0205ae8f6_png_jpg.rf.25fdc583a5ef5268cc575d85fb3c0924.jpg", "expected": "189300", "predicted": "189300", "correct": true, "input_tokens": 1185, "output_tokens": 10, "elapsed_seconds": 2.9818186670308933, "metadata": {"question": "What is the handwritten number written directly after \"R#\" at the bottom right corner of the page? Format the answer as a continuous sequence of digits (e.g., 123456).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.0123}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 41, "image": "76b25762-3b57-4158-9fab-945416165ada_png_jpg.rf.f417d6fc1ac47927bd5024452bf580e7.jpg", "expected": "#1123656-1", "predicted": "#1123656-1", "correct": true, "input_tokens": 1167, "output_tokens": 14, "elapsed_seconds": 3.6994142499752343, "metadata": {"question": "What is the check number printed directly below the date 'TUE JANUARY 20, 2026'? Format the answer exactly as printed, including the hash symbol and hyphen (e.g., #123456-7).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.8249}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 42, "image": "c3f661e1-1ce5-4c6b-ba39-f052aa469ae2_input-input-1780892587755-2dtxi0at3_png_jpg.rf.2e59559f9c0a22eb34f879380e77c649.jpg", "expected": "Andrew Ainsley", "predicted": "Andrew Ainsley", "correct": true, "input_tokens": 1159, "output_tokens": 7, "elapsed_seconds": 2.9151872920338064, "metadata": {"question": "What full name is shown beneath the 'Full Name' label? Output the text exactly as printed, preserving capitalization (e.g., Jane Doe).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9319}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 43, "image": "c3f661e1-1ce5-4c6b-ba39-f052aa469ae2_input-input-1780892587755-2dtxi0at3_png_jpg.rf.2e59559f9c0a22eb34f879380e77c649.jpg", "expected": "+1-300-555-0399", "predicted": "+1-300-555-0399", "correct": true, "input_tokens": 1170, "output_tokens": 19, "elapsed_seconds": 2.2234007079387084, "metadata": {"question": "What phone number is shown beneath the 'Phone Number' label? Output the phone number exactly as printed (e.g., +1-222-333-4444).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.2433}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 44, "image": "acc53733-7609-4a88-9125-d9671368e31c_png_jpg.rf.1ebb25f78d83e52eabcdf2422409904b.jpg", "expected": "1:31.396", "predicted": "1:31.396", "correct": true, "input_tokens": 1196, "output_tokens": 12, "elapsed_seconds": 3.075089666992426, "metadata": {"question": "What is the lap time displayed next to the driver \"NOR\" at the top of the timing tower? Format the answer exactly as it appears on screen (e.g., 1:23.456).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1167}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 45, "image": "fc635714-9747-4562-934a-76a998f30986_input-input-1769516774340-ndngcy0b8_png_jpg.rf.69006b774b46928d96d99b793ff005ee.jpg", "expected": "09/2023", "predicted": "09/2023", "correct": true, "input_tokens": 1192, "output_tokens": 11, "elapsed_seconds": 2.957213249988854, "metadata": {"question": "What is the date printed vertically along the left edge of the central blister pack? Format the answer exactly as it appears, including any punctuation (e.g., 12/2025).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.0058}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 46, "image": "25e6ed9c-2d37-4533-8021-977770aa97d1_input-input-1780691294811-oql9y0w9f_png_jpg.rf.c03fb5cccd8a068f05019d0a4d371fc7.jpg", "expected": "026", "predicted": "026", "correct": true, "input_tokens": 1179, "output_tokens": 7, "elapsed_seconds": 2.6692697079852223, "metadata": {"question": "What is the three-digit identification number printed on the white roof of the truck cab? Format the answer as a sequence of three digits.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7191}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 47, "image": "1ad1c779-b18f-4aaa-9cf0-6155cb19879b_input-input-1769444672197-ug2bdacps_png_jpg.rf.995e162e3e39f5709ab077e0fbe2798b.jpg", "expected": "03/2027", "predicted": "I cannot read the expiration date from this image as the embossed text at the bottom right of the left blister pack is too blurry and low-resolution to decipher accurately. Please provide a clearer, higher-resolution photo of the bottom edge of the packaging.", "correct": false, "input_tokens": 1164, "output_tokens": 54, "elapsed_seconds": 3.7212387080071494, "metadata": {"question": "What is the expiration date stamped at the bottom right corner of the left blister pack? Format the answer exactly as printed.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 3.7397}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 48, "image": "295f6019-a4f4-4a00-bb7b-6edfc37f54b6_input-input-1772410888497-d7tv6uegi_png_jpg.rf.efb04911d99ad83c1ce8d416c9966d16.jpg", "expected": "7811897358", "predicted": "7811897358", "correct": true, "input_tokens": 1138, "output_tokens": 14, "elapsed_seconds": 3.317677624989301, "metadata": {"question": "What is the NIP number printed near the top of the receipt? Format the answer as a continuous sequence of digits.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.4189}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 49, "image": "21a6d806-d16e-4452-a2e3-7fa520bd671d_input-input-1769360430457-50a88jpis_png_jpg.rf.aa61306d9e54120882fabd13146cb148.jpg", "expected": "DIN 912 M8x25", "predicted": "DIN 912 M8x25", "correct": true, "input_tokens": 1151, "output_tokens": 14, "elapsed_seconds": 9.663752499967813, "metadata": {"question": "What is the exact text printed on the white label attached to the front of the middle plastic bin? Format the answer exactly as it appears in the image, preserving capitalization and spacing.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.7835}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 50, "image": "db35c41c-a9ed-41bc-96cf-60186d715477_input-input-1774653477270-a4j6j7v6e_png_jpg.rf.57d75a03d42f0fc2b1029367596197db.jpg", "expected": "218", "predicted": "218", "correct": true, "input_tokens": 1188, "output_tokens": 7, "elapsed_seconds": 3.0014387079281732, "metadata": {"question": "What number is printed on the side of the large white crane in the upper right background? Format the answer as a continuous sequence of digits (e.g., 123).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.0507}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 51, "image": "ac750e7d-de93-4813-828d-409d16bd176b_png_jpg.rf.8ce341df035e51f25255571745407ba8.jpg", "expected": "Rev #1", "predicted": "Rev #1", "correct": true, "input_tokens": 1161, "output_tokens": 7, "elapsed_seconds": 3.310204332927242, "metadata": {"question": "What is the handwritten text located at the top right corner of the page, above the \"OVERVIEW\" heading? Output the text exactly as written (e.g., Text #1).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.3325}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 52, "image": "f5be5818-9476-456d-be90-9636ea5b6baa_input-input-1775884904023-qoueoyinv_png_jpg.rf.bbf654b12e9dfcd3cdde57ef87b4b7d6.jpg", "expected": "510-795-6305", "predicted": "510-795-6305", "correct": true, "input_tokens": 1165, "output_tokens": 16, "elapsed_seconds": 2.6994104590266943, "metadata": {"question": "What phone number is printed on the 'Fremont Hub' line below the bullseye logo? Format the answer exactly as a phone number with hyphens (e.g., 123-456-7890).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7382}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 53, "image": "f5be5818-9476-456d-be90-9636ea5b6baa_input-input-1775884904023-qoueoyinv_png_jpg.rf.bbf654b12e9dfcd3cdde57ef87b4b7d6.jpg", "expected": "39201 Fremont Blvd", "predicted": "39201 Fremont Blvd", "correct": true, "input_tokens": 1151, "output_tokens": 11, "elapsed_seconds": 2.2280196249485016, "metadata": {"question": "What street address is printed on the line below 'Fremont Hub'? Output the address exactly as printed (e.g., 12345 Main St).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.2657}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 54, "image": "f5be5818-9476-456d-be90-9636ea5b6baa_input-input-1775884904023-qoueoyinv_png_jpg.rf.bbf654b12e9dfcd3cdde57ef87b4b7d6.jpg", "expected": "01/16/2026", "predicted": "01/16/2026", "correct": true, "input_tokens": 1155, "output_tokens": 14, "elapsed_seconds": 2.836375124985352, "metadata": {"question": "What date is printed on the line directly above the barcode? Format the answer as MM/DD/YYYY (e.g., 04/05/2024).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8755}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 55, "image": "f5be5818-9476-456d-be90-9636ea5b6baa_input-input-1775884904023-qoueoyinv_png_jpg.rf.bbf654b12e9dfcd3cdde57ef87b4b7d6.jpg", "expected": "$29.99", "predicted": "$29.99", "correct": true, "input_tokens": 1154, "output_tokens": 10, "elapsed_seconds": 3.0525045410031453, "metadata": {"question": "What is the price listed for the \"BRITA ON TAP\" item in the KITCHEN section? Format the answer exactly as a dollar amount (e.g., $XX.XX).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.0907}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 56, "image": "f5be5818-9476-456d-be90-9636ea5b6baa_input-input-1775884904023-qoueoyinv_png_jpg.rf.bbf654b12e9dfcd3cdde57ef87b4b7d6.jpg", "expected": "245090218", "predicted": "245090218", "correct": true, "input_tokens": 1161, "output_tokens": 13, "elapsed_seconds": 2.5502695000031963, "metadata": {"question": "What is the nine-digit item number printed to the left of \"BIOTRUE\"? Format the answer as a continuous sequence of digits (e.g., 890149100).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.5899}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 57, "image": "e6e06b1b-da53-41ac-bfdf-9316443ff037_png_jpg.rf.c1d6533563d5395cd9da770734324ce4.jpg", "expected": "31/3/24", "predicted": "31/3/24", "correct": true, "input_tokens": 1186, "output_tokens": 11, "elapsed_seconds": 2.6777760420227423, "metadata": {"question": "What is the handwritten date written at the top left corner of the left page? Format the answer exactly as written (e.g., DD/M/YY).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7292}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 58, "image": "1a2826ae-6b4f-402d-871c-c99feec8673f_input-input-1773615096287-0i6s4vldj_png_jpg.rf.0bb97f973f3ca866a8ddeff16f4a9ab8.jpg", "expected": "4e63b-59184", "predicted": "4e63b-59184", "correct": true, "input_tokens": 1199, "output_tokens": 15, "elapsed_seconds": 2.567106124944985, "metadata": {"question": "What is the first recovery code in the right column inside the dark code box? Format the answer as lowercase letters, digits, and a hyphen exactly as printed (e.g., ab123-cd456).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.5882}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 59, "image": "3250b041-2ce2-4500-a99d-6f95f5536be5_input-input-1779670032347-3m1xayuws_png_jpg.rf.f45bb85a65adb055ae0b0ce37334eb6d.jpg", "expected": "225/55 ZR 17", "predicted": "225/55 ZR 17", "correct": true, "input_tokens": 1165, "output_tokens": 14, "elapsed_seconds": 2.594696916989051, "metadata": {"question": "What is the large tire-size marking beside the checkered-flag logo? Output the text exactly as printed, preserving spaces and symbols (e.g., 205/60 R 16).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.6679}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 60, "image": "04a7e555-066a-4662-be7d-1fab1d0a89bb_input-input-1773204169910-pu44i2o85_png_jpg.rf.f1ffe888c2d54063f42898d657dfa906.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1140, "output_tokens": 5, "elapsed_seconds": 3.1656104589346796, "metadata": {"question": "Which whole number on the dial is the needle of the main gauge pointing closest to? Output the answer as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.244}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 61, "image": "9524ed4d-178c-4051-9357-7c560b07815a_png_jpg.rf.59849ff479e380b534b74d0addc8a4e5.jpg", "expected": "GBK9951P", "predicted": "GBK9951P", "correct": true, "input_tokens": 1162, "output_tokens": 11, "elapsed_seconds": 2.313095874967985, "metadata": {"question": "What is the license plate number on the vehicle? Format the answer as a continuous sequence of uppercase letters and digits with no spaces (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.3471}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 62, "image": "4bd1305c-ba69-4b95-acbd-aeedcde5aeb5_input-input-1778614713022-g8ey7mf8j_png_jpg.rf.05583223686725fe6e962b4344e9fc7c.jpg", "expected": "2026-02-10 14:30:56", "predicted": "2026-02-10 14:30:56", "correct": true, "input_tokens": 1172, "output_tokens": 23, "elapsed_seconds": 4.355101292021573, "metadata": {"question": "What timestamp is overlaid near the top-right corner of the image? Output the timestamp exactly as printed.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.3992}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 63, "image": "2147a9a8-913a-4b7f-9b36-908eb54628d3_input-input-1771463083999-cj6damrec_png_jpg.rf.b1aa904aaf7b7942d731f9a9f25bc3e1.jpg", "expected": "06-28-2014", "predicted": "06-28-2014", "correct": true, "input_tokens": 1163, "output_tokens": 14, "elapsed_seconds": 2.953262333991006, "metadata": {"question": "What is the exact date printed in the bottom left section of the receipt, just below the item count? Format the answer exactly as it appears in the image.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.002}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 64, "image": "2147a9a8-913a-4b7f-9b36-908eb54628d3_input-input-1771463083999-cj6damrec_png_jpg.rf.b1aa904aaf7b7942d731f9a9f25bc3e1.jpg", "expected": "3.79", "predicted": "3.79", "correct": true, "input_tokens": 1168, "output_tokens": 8, "elapsed_seconds": 2.624161583953537, "metadata": {"question": "What is the numerical price listed in the right column for the item specifically named \"EGGS 1 DOZ ORGANIC BROWN.\"? Output the price as a decimal number without currency symbols.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.6731}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 65, "image": "2147a9a8-913a-4b7f-9b36-908eb54628d3_input-input-1771463083999-cj6damrec_png_jpg.rf.b1aa904aaf7b7942d731f9a9f25bc3e1.jpg", "expected": "$40.00", "predicted": "$40.00", "correct": true, "input_tokens": 1170, "output_tokens": 10, "elapsed_seconds": 3.4669651659205556, "metadata": {"question": "What is the exact cash amount tendered, printed directly to the right of the bold word \"CASH\" near the bottom of the receipt? Format the answer exactly as printed, including the dollar sign.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.5146}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 66, "image": "c1300d50-94fc-4081-b871-8338cef58e16_input-input-1778695950497-jbtexy630_png_jpg.rf.6fbb0636423109f2dfca5f2a22a6883a.jpg", "expected": "10:26", "predicted": "10:26", "correct": true, "input_tokens": 1190, "output_tokens": 9, "elapsed_seconds": 3.1431982499780133, "metadata": {"question": "What is the time remaining in the period displayed in the center of the top scoreboard? Format the answer exactly as it appears on the screen (e.g., 12:34).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1871}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 67, "image": "c1300d50-94fc-4081-b871-8338cef58e16_input-input-1778695950497-jbtexy630_png_jpg.rf.6fbb0636423109f2dfca5f2a22a6883a.jpg", "expected": "53", "predicted": "53", "correct": true, "input_tokens": 1186, "output_tokens": 6, "elapsed_seconds": 2.5267846250208095, "metadata": {"question": "What is the total combined number of shots taken by both teams as displayed on the top scoreboard? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.5694}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 68, "image": "c1300d50-94fc-4081-b871-8338cef58e16_input-input-1778695950497-jbtexy630_png_jpg.rf.6fbb0636423109f2dfca5f2a22a6883a.jpg", "expected": "SEA 1 - TOR 1", "predicted": "SEA 1 - TOR 1", "correct": true, "input_tokens": 1189, "output_tokens": 11, "elapsed_seconds": 2.4434605420101434, "metadata": {"question": "What is the current score shown on the top scoreboard? Format your answer as ABC N - ABC N using the two team abbreviations (e.g., SEA 1 - TOR 2).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.4837}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 69, "image": "eeee1640-5005-460c-a3f3-12dfff951fc5_png_jpg.rf.648ce83a788a4eb5a650235397675f44.jpg", "expected": "PC5949A", "predicted": "PC5949A", "correct": true, "input_tokens": 1162, "output_tokens": 10, "elapsed_seconds": 3.6537753329612315, "metadata": {"question": "What is the license plate number on the vehicle? Format the answer as a continuous sequence of uppercase letters and digits with no spaces (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.7016}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 70, "image": "93441566-50c0-4bfb-9a31-437a2bc5e4f2_png_jpg.rf.078ab0583bc75e5a47971dc175d8a0a3.jpg", "expected": "OP01-013", "predicted": "OP01-013", "correct": true, "input_tokens": 1191, "output_tokens": 11, "elapsed_seconds": 2.9750853340374306, "metadata": {"question": "What is the alphanumeric card code printed in the bottom right corner just before the block icon? Output the exact text as printed (e.g., \"OP02-001\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.988}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 71, "image": "93441566-50c0-4bfb-9a31-437a2bc5e4f2_png_jpg.rf.078ab0583bc75e5a47971dc175d8a0a3.jpg", "expected": "3000", "predicted": "3000", "correct": true, "input_tokens": 1192, "output_tokens": 8, "elapsed_seconds": 2.7871577499900013, "metadata": {"question": "What power value is printed in the white box at the top-right corner of the card? Format the answer as a continuous sequence of digits (e.g., 7000).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8011}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 72, "image": "94f3adfa-0184-4872-8eb9-9f24e1a81a95_png_jpg.rf.2be986b2ba0f23bc57b7056a30d7423b.jpg", "expected": "1:26.0", "predicted": "1:26.0", "correct": true, "input_tokens": 1191, "output_tokens": 10, "elapsed_seconds": 3.060509374947287, "metadata": {"question": "What lap time is shown in large white digits inside the center HAMILTON panel? Format the answer exactly as a time with a colon and decimal (e.g., 1:23.4).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1076}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 73, "image": "36e6af65-9cf0-4b16-b5b2-2dbf5d54ffae_input-input-1778190001786-w0937ikxt_png_jpg.rf.e59dce98ea670882a0a0bfb3e59730b2.jpg", "expected": "14", "predicted": "14", "correct": true, "input_tokens": 1173, "output_tokens": 6, "elapsed_seconds": 3.097221542033367, "metadata": {"question": "What is the total number of empty ports on the white panel? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1263}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 74, "image": "33299f4b-1857-4400-a31d-677ecd2c277a_input-input-1771415890481-7pfiombu0_png_jpg.rf.feabb125c41c69cf7d8c3aca315be50d.jpg", "expected": "12:07:56", "predicted": "12:07:56", "correct": true, "input_tokens": 1155, "output_tokens": 12, "elapsed_seconds": 2.79982720897533, "metadata": {"question": "What is the exact time displayed in the timestamp at the top left corner of the image? Format the answer exactly as HH:MM:SS.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.858}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 75, "image": "621387a6-d868-4912-90f1-7e8abd9df0c0_png_jpg.rf.a8276e972135e7eecb7d2d74936e608e.jpg", "expected": "TISSOT", "predicted": "TISSOT", "correct": true, "input_tokens": 1175, "output_tokens": 7, "elapsed_seconds": 2.777791375061497, "metadata": {"question": "aahat brand name is printed upside-down in large letters in the lower half of the watch dial? Output the exact text as printed (e.g., ROLEX).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8733}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 76, "image": "621387a6-d868-4912-90f1-7e8abd9df0c0_png_jpg.rf.a8276e972135e7eecb7d2d74936e608e.jpg", "expected": "15", "predicted": "15", "correct": true, "input_tokens": 1178, "output_tokens": 6, "elapsed_seconds": 3.5518429999938235, "metadata": {"question": "What number is visible in the small date window near the upper-left edge of the blue dial? Format the answer as a continuous sequence of digits (e.g., 24).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.6549}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 77, "image": "0e9ddffb-4d1d-4c64-bfce-3e518dd1c8ae_input-input-1779391692177-bujnsi4tk_png_jpg.rf.36d93ac4b35d2ac11fcc66f37ebddb4b.jpg", "expected": "2 000111 111112", "predicted": "2 000111 111112", "correct": true, "input_tokens": 1144, "output_tokens": 19, "elapsed_seconds": 3.5450305830454454, "metadata": {"question": "What is the sequence of digits printed directly alongside the barcode on the left side of the meter? Format the answer exactly as printed, including spaces.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.7263}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 78, "image": "9557f58e-ee73-4877-8bff-54aaa8bee062_input-input-1769507524173-1hzc9hfio_png_jpg.rf.a5376988f390a31b2c12912c07892281.jpg", "expected": "18", "predicted": "18", "correct": true, "input_tokens": 1174, "output_tokens": 6, "elapsed_seconds": 4.256731625064276, "metadata": {"question": "What number is displayed clearly on the uppermost, flat face of the die? Output the answer as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.3148}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 79, "image": "f0c68933-64c5-49e6-8845-707afdc32a4e_input-input-1776058768062-tn8vkqrxk_png_jpg.rf.5d66532520dc17be0083a5fe2664c963.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1168, "output_tokens": 5, "elapsed_seconds": 4.016780374920927, "metadata": {"question": "What number is displayed in red on the digital indicator above the leftmost elevator doors? Output the exact digit (e.g., 5).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.0932}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 80, "image": "f0c68933-64c5-49e6-8845-707afdc32a4e_input-input-1776058768062-tn8vkqrxk_png_jpg.rf.5d66532520dc17be0083a5fe2664c963.jpg", "expected": "14", "predicted": "14", "correct": true, "input_tokens": 1176, "output_tokens": 6, "elapsed_seconds": 5.924644708051346, "metadata": {"question": "What floor is this scene on, based on any floor signage or indicators visible in the image? Format the answer as a continuous sequence of digits (e.g., 5).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.0042}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 81, "image": "4409ba1c-5b55-47e4-8fb3-ed245021d0bb_input-input-1776892569933-6scj88bzo_png_jpg.rf.c5d4d0e67097acc2dc0e5a026f4d5514.jpg", "expected": "NEXT", "predicted": "NEXT", "correct": true, "input_tokens": 1143, "output_tokens": 5, "elapsed_seconds": 4.930521958973259, "metadata": {"question": "What retailer name is printed in large letters near the left side of the receipt? Output the exact uppercase word (e.g., STORE).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.0016}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 82, "image": "4409ba1c-5b55-47e4-8fb3-ed245021d0bb_input-input-1776892569933-6scj88bzo_png_jpg.rf.c5d4d0e67097acc2dc0e5a026f4d5514.jpg", "expected": "0333 0055 512", "predicted": "0333 0055 512", "correct": true, "input_tokens": 1165, "output_tokens": 17, "elapsed_seconds": 2.9079841669881716, "metadata": {"question": "What telephone number is printed on the line beginning with 'TEL' beneath 'London New Retail 0512'? Output the number exactly with spaces (e.g., 0123 4567 890).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9806}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 83, "image": "4409ba1c-5b55-47e4-8fb3-ed245021d0bb_input-input-1776892569933-6scj88bzo_png_jpg.rf.c5d4d0e67097acc2dc0e5a026f4d5514.jpg", "expected": "14 Mar 2026", "predicted": "14 Mar 2026", "correct": true, "input_tokens": 1155, "output_tokens": 12, "elapsed_seconds": 7.341412957990542, "metadata": {"question": "What calendar date is printed on the timestamp line beneath the TEL line? Output the date exactly as printed without the weekday or time (e.g., 01 Jan 2026).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.4125}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 84, "image": "4409ba1c-5b55-47e4-8fb3-ed245021d0bb_input-input-1776892569933-6scj88bzo_png_jpg.rf.c5d4d0e67097acc2dc0e5a026f4d5514.jpg", "expected": "\u00a397.00", "predicted": "\u00a397.00", "correct": true, "input_tokens": 1156, "output_tokens": 10, "elapsed_seconds": 3.08792370907031, "metadata": {"question": "What total refund amount is printed next to 'TOTAL REFUNDED TO ACCOUNT' in the middle of the receipt? Format the answer exactly as a pound amount (e.g., \u00a3XX.XX).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1589}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 85, "image": "19f45907-d682-40cf-bb87-9133dc873871_input-input-1778506438615-gyarfruw4_png_jpg.rf.22e9fb7526b6b695a79118f2794a9ab3.jpg", "expected": "037156273", "predicted": "037156273", "correct": true, "input_tokens": 1191, "output_tokens": 13, "elapsed_seconds": 2.310948417056352, "metadata": {"question": "What is the serial number printed directly after \"S/N:\" at the top of the meter? Format the answer as a continuous sequence of digits.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.3358}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 86, "image": "1a8ee468-d168-4cec-bf83-881ad2853ed9_png_jpg.rf.02ee8e87c0ee9b2581f17ccbdb8fa702.jpg", "expected": "NYKU3687780", "predicted": "NYKU3687780", "correct": true, "input_tokens": 1159, "output_tokens": 13, "elapsed_seconds": 3.9542938749073073, "metadata": {"question": "What is the vertical container identification code printed on the far left of the blue container? Format the answer as a continuous sequence of letters and numbers without spaces (e.g., ABCD1234567).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.0245}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 87, "image": "1a8ee468-d168-4cec-bf83-881ad2853ed9_png_jpg.rf.02ee8e87c0ee9b2581f17ccbdb8fa702.jpg", "expected": "22G1", "predicted": "22G1", "correct": true, "input_tokens": 1148, "output_tokens": 8, "elapsed_seconds": 3.192620416986756, "metadata": {"question": "Which four-character code is printed vertically directly above the yellow height limit sign on the blue container? Output the code exactly as printed (e.g., ABCD).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.2643}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 88, "image": "ae20b44c-9be6-47a5-8002-2c417a2a2441_png_jpg.rf.d312136933cbfcb91483a2dfad0d53bd.jpg", "expected": "Sesame Seed", "predicted": "Sesame Seed", "correct": true, "input_tokens": 1165, "output_tokens": 7, "elapsed_seconds": 1.9229637919925153, "metadata": {"question": "What bold allergen name appears in the ingredients paragraph next to the word \"Paste\"? Output the text exactly as printed (e.g., Wheat).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 1.9362}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 89, "image": "ae20b44c-9be6-47a5-8002-2c417a2a2441_png_jpg.rf.d312136933cbfcb91483a2dfad0d53bd.jpg", "expected": "Per 1/4 pot", "predicted": "Per 1/4 pot", "correct": true, "input_tokens": 1176, "output_tokens": 10, "elapsed_seconds": 2.612169959000312, "metadata": {"question": "Which nutrition table header is immediately to the right of \"Per 100g\" in the row beneath \"NUTRITION\"? Output the text exactly as printed (e.g., Per item).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.6227}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 90, "image": "0212eb3d-e4b1-4ef4-9204-e920654bf677_input-input-1778110710064-oqhw5zz8j_png_jpg.rf.014217c55a8b2da0df65b97e042ed090.jpg", "expected": "$44.99", "predicted": "$44.99", "correct": true, "input_tokens": 1158, "output_tokens": 10, "elapsed_seconds": 3.475524957990274, "metadata": {"question": "What is the price displayed on the green \"Price Cut\" tag directly beneath the Four Roses Single Barrel on the top shelf? Format the answer exactly as a dollar amount (e.g., $XX.XX).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.5958}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 91, "image": "bab22192-40dc-46bd-b314-ea08adf480e4_input-input-1768993566899-f1f6n85t5_png_jpg.rf.e266ed38188402a2fd66c6ee3416a4f0.jpg", "expected": "250ml", "predicted": "250ml", "correct": true, "input_tokens": 1147, "output_tokens": 8, "elapsed_seconds": 2.5843358340207487, "metadata": {"question": "What capacity text is printed beneath the Fisherbrand logo on the right beaker? Output exactly with no added space (e.g., 100ml).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.6643}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 92, "image": "bab22192-40dc-46bd-b314-ea08adf480e4_input-input-1768993566899-f1f6n85t5_png_jpg.rf.e266ed38188402a2fd66c6ee3416a4f0.jpg", "expected": "150ml", "predicted": "150 ml", "correct": true, "input_tokens": 1156, "output_tokens": 8, "elapsed_seconds": 3.610085375024937, "metadata": {"question": "What is the liquid level in the leftmost beaker, as read from its printed measurement scale? Format the answer as a number followed by a space and ml (e.g., 100ml).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.6871}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 93, "image": "537aaf5f-ca39-4266-beec-32e4e9b2e3aa_png_jpg.rf.7a1f952bb873dc687f3b3f3d0dfe0301.jpg", "expected": "SLV3235L", "predicted": "SLV3235L", "correct": true, "input_tokens": 1167, "output_tokens": 11, "elapsed_seconds": 2.589522417052649, "metadata": {"question": "What is the license plate number on the vehicle? Format the answer as a continuous sequence of uppercase letters and digits with no spaces (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.5977}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 94, "image": "39fe721b-44c4-4a0c-aeac-2897520dfa68_input-input-1781394102861-00bvuicbi_png_jpg.rf.363242f15c7e98f02eea7cb38d065c13.jpg", "expected": "205/60 R 16", "predicted": "205/60 R 16", "correct": true, "input_tokens": 1166, "output_tokens": 14, "elapsed_seconds": 2.6638940420234576, "metadata": {"question": "What is the large alphanumeric tire size sequence printed on the right side of the sidewall? Output the exact text including spaces and slashes.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7425}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 95, "image": "0e4e059a-dffb-4d94-8827-06ec9a325906_input-input-1780878352625-ut880vj94_png_jpg.rf.bfa6b203688cdd30b56b2d4a213fe38e.jpg", "expected": "Brixx", "predicted": "Brixx", "correct": true, "input_tokens": 1159, "output_tokens": 7, "elapsed_seconds": 2.2951908750692382, "metadata": {"question": "What restaurant name is printed at the top center of the receipt? Output the text exactly as printed (e.g., Pizzeria Uno).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.313}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223722", "index": 96, "image": "0e4e059a-dffb-4d94-8827-06ec9a325906_input-input-1780878352625-ut880vj94_png_jpg.rf.bfa6b203688cdd30b56b2d4a213fe38e.jpg", "expected": "501 Meadowmont Village Circle", "predicted": "501 Meadowmont Village Circle", "correct": true, "input_tokens": 1164, "output_tokens": 11, "elapsed_seconds": 4.786715542082675, "metadata": {"question": "What street address is printed directly beneath the \"Brixx\" heading? Output the address exactly as printed (e.g., 123 Main Street).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.8043}} diff --git a/results/extraction_gemini-4-argon_low_20261012_223724.jsonl b/results/extraction_gemini-4-argon_low_20261012_223724.jsonl new file mode 100644 index 0000000..f0e9740 --- /dev/null +++ b/results/extraction_gemini-4-argon_low_20261012_223724.jsonl @@ -0,0 +1,97 @@ +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 0, "image": "9a8c8b2e-fb85-4a29-8a8e-c4d8e90a263c_input-input-1771415218745-lelho5crz_png_jpg.rf.c532e07f580fa8f33418c4e51767f52f.jpg", "expected": "10:27", "predicted": "10:27", "correct": true, "input_tokens": 1184, "output_tokens": 9, "elapsed_seconds": 5.223061915952712, "metadata": {"question": "What is the time displayed in the top left corner of the dashboard? Format the answer exactly as it appears (e.g., 12:34).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.3171}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 1, "image": "9a8c8b2e-fb85-4a29-8a8e-c4d8e90a263c_input-input-1771415218745-lelho5crz_png_jpg.rf.c532e07f580fa8f33418c4e51767f52f.jpg", "expected": "7507 km", "predicted": "7507 km", "correct": true, "input_tokens": 1191, "output_tokens": 9, "elapsed_seconds": 5.342119249980897, "metadata": {"question": "What is the total odometer reading shown directly to the right of the 'P' gear indicator? Format the answer exactly as printed including the unit (e.g., 1234 km).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.4362}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 2, "image": "9a8c8b2e-fb85-4a29-8a8e-c4d8e90a263c_input-input-1771415218745-lelho5crz_png_jpg.rf.c532e07f580fa8f33418c4e51767f52f.jpg", "expected": "20.5\u00b0C", "predicted": "20.5\u00b0C", "correct": true, "input_tokens": 1191, "output_tokens": 10, "elapsed_seconds": 5.316338249947876, "metadata": {"question": "What is the temperature reading displayed in the top right corner of the dashboard? Format the answer exactly as printed including the degree symbol and unit (e.g., 22.0\u00b0C).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.4038}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 3, "image": "66bbef87-2e52-4a5a-8583-f52fbfa7465d_input-input-1778826066883-6t9qhnglh_png_jpg.rf.90a49214642ae3efbd28a7ef58d4a0d0.jpg", "expected": "$254", "predicted": "$254", "correct": true, "input_tokens": 1173, "output_tokens": 8, "elapsed_seconds": 4.763771584024653, "metadata": {"question": "What is the total price for the Icon Room, explicitly stated to include taxes & fees? Output the answer exactly as printed, including the dollar sign.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.804}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 4, "image": "66bbef87-2e52-4a5a-8583-f52fbfa7465d_input-input-1778826066883-6t9qhnglh_png_jpg.rf.90a49214642ae3efbd28a7ef58d4a0d0.jpg", "expected": "1500", "predicted": "1500", "correct": true, "input_tokens": 1183, "output_tokens": 8, "elapsed_seconds": 3.1949242079863325, "metadata": {"question": "According to the \"Surroundings\" list on the right side of the page, what is the exact distance in feet to the Richmond Night Market? Output the answer as a single integer without units.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.2354}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 5, "image": "66bbef87-2e52-4a5a-8583-f52fbfa7465d_input-input-1778826066883-6t9qhnglh_png_jpg.rf.90a49214642ae3efbd28a7ef58d4a0d0.jpg", "expected": "9.1", "predicted": "9.1", "correct": true, "input_tokens": 1176, "output_tokens": 7, "elapsed_seconds": 4.343894041958265, "metadata": {"question": "What is the numerical customer review rating out of 10 displayed in the blue circle on the right side of the page? Output the answer as a decimal number.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.3861}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 6, "image": "c9b00dcb-e093-43d9-baf8-f1971ff328af_input-input-1769103177177-3x5hfzwbp_png_jpg.rf.95edcd11e5d8724ab285b69ba52f6deb.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1143, "output_tokens": 5, "elapsed_seconds": 3.3072806249838322, "metadata": {"question": "What handwritten number appears near the upper left corner of the card? Format the answer as a single digit (e.g., 7).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.376}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 7, "image": "c9b00dcb-e093-43d9-baf8-f1971ff328af_input-input-1769103177177-3x5hfzwbp_png_jpg.rf.95edcd11e5d8724ab285b69ba52f6deb.jpg", "expected": "G230", "predicted": "G230", "correct": true, "input_tokens": 1144, "output_tokens": 8, "elapsed_seconds": 3.4916508329333737, "metadata": {"question": "What is the alphanumeric code printed on the tan half of the capsule? Output the exact text (e.g., \"A123\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.5467}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 8, "image": "f0d4c0bf-3a21-41a5-b0c2-c33b94feadb4_input-input-1771859752511-bk56l0pe1_png_jpg.rf.6c4ddb547fa7d14bea520ceb83d179fe.jpg", "expected": "63.490", "predicted": "63.490", "correct": true, "input_tokens": 1147, "output_tokens": 10, "elapsed_seconds": 3.7950970840174705, "metadata": {"question": "What is the numerical value for the NET weight in LBS printed on the right door of the shipping container? Format the answer as a number including the decimal point.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.8958}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 9, "image": "f0d4c0bf-3a21-41a5-b0c2-c33b94feadb4_input-input-1771859752511-bk56l0pe1_png_jpg.rf.6c4ddb547fa7d14bea520ceb83d179fe.jpg", "expected": "TCKU 612608 6 45G1", "predicted": "TCKU 612608 6 45G1", "correct": true, "input_tokens": 1153, "output_tokens": 20, "elapsed_seconds": 5.67690937500447, "metadata": {"question": "What is the complete two-line identification text printed in white on the upper right side of the container doors? Format the answer with a single space separating the top sequence from the bottom sequence.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.7775}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 10, "image": "f0d4c0bf-3a21-41a5-b0c2-c33b94feadb4_input-input-1771859752511-bk56l0pe1_png_jpg.rf.6c4ddb547fa7d14bea520ceb83d179fe.jpg", "expected": "2516510", "predicted": "2516100", "correct": false, "input_tokens": 1135, "output_tokens": 11, "elapsed_seconds": 4.00075554207433, "metadata": {"question": "What is the license plate number on the trailer? Format the answer as a continuous sequence of digits.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 4.1005}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 11, "image": "c9dbd271-e8bd-4a4c-9d90-dcc53a4910f6_input-input-1776792452299-9guc9kcwh_png_jpg.rf.499be0493ce07a3ce99ad741b1087b71.jpg", "expected": "0.40", "predicted": "0.40", "correct": true, "input_tokens": 1177, "output_tokens": 8, "elapsed_seconds": 3.3393445409601554, "metadata": {"question": "What time is shown on the left display of the red chess clock behind the board? Format the answer as a time with a colon (e.g., 1.23).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.3931}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 12, "image": "91b13b86-2929-4232-a4d1-a9a98420477e_png_jpg.rf.2d391bd85b3ed91712271a024089677e.jpg", "expected": "GZ808S", "predicted": "GZ808S", "correct": true, "input_tokens": 1172, "output_tokens": 9, "elapsed_seconds": 3.026148958946578, "metadata": {"question": "What is the license plate number on the vehicle? Format the answer as a continuous sequence of uppercase letters and digits with no spaces (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.0325}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 13, "image": "d2029347-fd3c-40be-8d89-b0e1abf64e9b_input-input-1781204084098-88xr6eavh_png_jpg.rf.21d8156058ed4f8ed2cffba4507eedee.jpg", "expected": "9CGN302", "predicted": "9CGN302", "correct": true, "input_tokens": 1152, "output_tokens": 10, "elapsed_seconds": 3.4961325830081478, "metadata": {"question": "What is the license plate number on the rear of the black SUV? Format the answer as a continuous sequence of uppercase letters and digits (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.5655}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 14, "image": "d2029347-fd3c-40be-8d89-b0e1abf64e9b_input-input-1781204084098-88xr6eavh_png_jpg.rf.21d8156058ed4f8ed2cffba4507eedee.jpg", "expected": "7WQV954", "predicted": "7WQV954", "correct": true, "input_tokens": 1156, "output_tokens": 10, "elapsed_seconds": 3.309951208997518, "metadata": {"question": "What is the license plate number on the rear of the grey car in the upper left? Format the answer as a continuous sequence of uppercase letters and digits (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.3791}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 15, "image": "d2029347-fd3c-40be-8d89-b0e1abf64e9b_input-input-1781204084098-88xr6eavh_png_jpg.rf.21d8156058ed4f8ed2cffba4507eedee.jpg", "expected": "YUKON", "predicted": "YUKON", "correct": true, "input_tokens": 1149, "output_tokens": 7, "elapsed_seconds": 2.562558125006035, "metadata": {"question": "What text is written in silver letters on the lower left of the black SUV's tailgate? Output the exact text as printed (e.g., EXPLORER).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.6293}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 16, "image": "020c3db8-dcc2-40e0-bf26-c874edb1612b_png_jpg.rf.a299e53bc85c66b204fae58e26a1e19b.jpg", "expected": "NCY1", "predicted": "NCY1", "correct": true, "input_tokens": 1178, "output_tokens": 7, "elapsed_seconds": 2.7696762919658795, "metadata": {"question": "What is the item code listed directly above 'CDMF' in the 'Item Code' column? Output the code exactly as printed in uppercase (e.g., ABCD).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8222}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 17, "image": "41a7e177-1031-4d8e-bdee-eecbb1f0d240_input-input-1774997209388-d3qjo2hm2_png_jpg.rf.9a0e0f41aecab5811b006d59b42506db.jpg", "expected": "005708", "predicted": "005708", "correct": true, "input_tokens": 1169, "output_tokens": 10, "elapsed_seconds": 3.055975625058636, "metadata": {"question": "What six-digit meter reading is shown in the black-framed LCD display? Format the answer as a continuous sequence of digits.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.065}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 18, "image": "26584325-f95e-41e4-9f4b-99afc5ff078d_png_jpg.rf.30e30b60362db55140cd5874abc92899.jpg", "expected": "SIMONE KOVENSKY", "predicted": "SIMONE KOVENSKY", "correct": true, "input_tokens": 1152, "output_tokens": 10, "elapsed_seconds": 4.718386167078279, "metadata": {"question": "What is the name written in the 'CLIENT:' field at the top right of the form? Output the name exactly as written in all capital letters (e.g., JOHN DOE).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.7983}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 19, "image": "c56ead6c-0697-4216-a27e-fbd28c19aaed_input-input-1781393738001-e3qhlmchi_png_jpg.rf.904ea3d34bf309c1a08a8147dd181e22.jpg", "expected": "225/65 R 17", "predicted": "225/65 R 17", "correct": true, "input_tokens": 1203, "output_tokens": 14, "elapsed_seconds": 5.745096958940849, "metadata": {"question": "What is the tire size printed directly to the right of the top-left \"MICHELIN\" brand name? Output the exact text as printed (e.g., 205/55 R 16).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.7907}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 20, "image": "c56ead6c-0697-4216-a27e-fbd28c19aaed_input-input-1781393738001-e3qhlmchi_png_jpg.rf.904ea3d34bf309c1a08a8147dd181e22.jpg", "expected": "POLAND", "predicted": "POLAND", "correct": true, "input_tokens": 1191, "output_tokens": 6, "elapsed_seconds": 10.835518207983114, "metadata": {"question": "What country is printed inside the oval directly below the words \"MADE IN\" on the bottom tire? Output the exact text as printed (e.g., GERMANY).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.8805}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 21, "image": "dce06136-2d24-422b-a3b6-e100c9a4bad1_input-input-1780992231793-0zf74ymfd_png_jpg.rf.d839d1c678628694e2bff03a7de7f25a.jpg", "expected": "1800 22 4020", "predicted": "1800 22 4020", "correct": true, "input_tokens": 1164, "output_tokens": 16, "elapsed_seconds": 8.218267374904826, "metadata": {"question": "What phone number is printed after the line \"OR CALL US AT\"? Output the number exactly as printed, preserving spaces.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.2659}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 22, "image": "dce06136-2d24-422b-a3b6-e100c9a4bad1_input-input-1780992231793-0zf74ymfd_png_jpg.rf.d839d1c678628694e2bff03a7de7f25a.jpg", "expected": "8901491361026", "predicted": "8901491361026", "correct": true, "input_tokens": 1157, "output_tokens": 17, "elapsed_seconds": 4.047383875004016, "metadata": {"question": "What number is printed directly beneath the barcode on the package? Respond with digits only.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.0962}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 23, "image": "dce06136-2d24-422b-a3b6-e100c9a4bad1_input-input-1780992231793-0zf74ymfd_png_jpg.rf.d839d1c678628694e2bff03a7de7f25a.jpg", "expected": "558 kcal", "predicted": "558 kcal", "correct": true, "input_tokens": 1168, "output_tokens": 8, "elapsed_seconds": 3.562526624999009, "metadata": {"question": "In the nutritional information table, what is the Energy value per 100g? Respond with the number and unit exactly as shown.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.6108}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 24, "image": "145655c9-ac14-4dbb-8925-e2b81fb119e3_input-input-1778072520416-hq28k5crq_png_jpg.rf.4778c32b3806b491466ac777daff1840.jpg", "expected": "0176213", "predicted": "0176213", "correct": true, "input_tokens": 1150, "output_tokens": 11, "elapsed_seconds": 3.818093875073828, "metadata": {"question": "What is the large, bold, seven digit number printed at the bottom right corner of the label attached to the metal shelf? Format the answer as a continuous sequence of digits.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.8858}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 25, "image": "145655c9-ac14-4dbb-8925-e2b81fb119e3_input-input-1778072520416-hq28k5crq_png_jpg.rf.4778c32b3806b491466ac777daff1840.jpg", "expected": "36", "predicted": "36", "correct": true, "input_tokens": 1142, "output_tokens": 6, "elapsed_seconds": 3.0006002079462633, "metadata": {"question": "What is the total number of white PVC profile cross-sections visible in the entire stack? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.0686}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 26, "image": "47ad34a1-d784-48fd-bf0b-9814791703e3_input-input-1779422613724-1i91z3id8_png_jpg.rf.b05b9398755d107d94666106dd5d8aa8.jpg", "expected": "6315", "predicted": "6315", "correct": true, "input_tokens": 1169, "output_tokens": 8, "elapsed_seconds": 4.140230791992508, "metadata": {"question": "What fleet number is printed on the rear window of the yellow bus at the right edge? Format the answer as a continuous sequence of digits (e.g., 1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.2158}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 27, "image": "47ad34a1-d784-48fd-bf0b-9814791703e3_input-input-1779422613724-1i91z3id8_png_jpg.rf.b05b9398755d107d94666106dd5d8aa8.jpg", "expected": "ZL 7237", "predicted": "ZL 7237", "correct": true, "input_tokens": 1168, "output_tokens": 10, "elapsed_seconds": 3.6413574579637498, "metadata": {"question": "What is the license plate number of the black SUV in the foreground right lane? Format the answer exactly as printed, including spaces (e.g., AB 1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.7151}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 28, "image": "cc68304c-144a-4975-a93a-d8efa85db6ed_input-input-1769095484858-rohdg9mmc_png_jpg.rf.378e0d7628c9899c5d343c8f700ca50b.jpg", "expected": "34", "predicted": "34", "correct": true, "input_tokens": 1170, "output_tokens": 6, "elapsed_seconds": 3.100795791950077, "metadata": {"question": "What is the large number displayed on the digital screen of the device? Output the exact number.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1557}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 29, "image": "d489f405-013e-4e8b-968a-1d9db2060050_png_jpg.rf.b6ede8915c0c026e32f0e8d070b1d247.jpg", "expected": "18", "predicted": "18", "correct": true, "input_tokens": 1170, "output_tokens": 6, "elapsed_seconds": 3.8324037910206243, "metadata": {"question": "What is the total quantity (QTY) of all items described as \"Air Filter\" in the DESCRIPTION column? Output the final sum as a single integer (e.g., 15).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.8503}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 30, "image": "d0b99ce8-8a3b-4d1d-98d4-b34137b19f08_input-input-1768805031339-rs4dctz0p_png_jpg.rf.0b9ba7244c8f71c6879248740d0f2a0d.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1176, "output_tokens": 5, "elapsed_seconds": 4.021716749994084, "metadata": {"question": "Counting rows from the top starting at 1, in which row is the green 'American Bankers Association' stamp located? Output the row number as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.1185}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 31, "image": "06072daf-424d-471e-a5cb-f8821cf88eb6_input-input-1772637869821-qu9ua1cb8_png_jpg.rf.dbc22b4330271e95f97fe41a59e1179c.jpg", "expected": "0.1", "predicted": "0.1", "correct": true, "input_tokens": 1165, "output_tokens": 7, "elapsed_seconds": 2.7879340840736404, "metadata": {"question": "What is the exact numerical value listed for Trans Fat per 100g? Format the answer as a decimal number.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8347}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 32, "image": "06072daf-424d-471e-a5cb-f8821cf88eb6_input-input-1772637869821-qu9ua1cb8_png_jpg.rf.dbc22b4330271e95f97fe41a59e1179c.jpg", "expected": "CONSUMER.FEEDBACK@PEPSICO.COM", "predicted": "CONSUMER.FEEDBACK@PEPSICO.COM", "correct": true, "input_tokens": 1160, "output_tokens": 14, "elapsed_seconds": 4.516157999983989, "metadata": {"question": "What is the email address provided for consumer feedback or queries? Output the email address exactly as printed.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.5629}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 33, "image": "06072daf-424d-471e-a5cb-f8821cf88eb6_input-input-1772637869821-qu9ua1cb8_png_jpg.rf.dbc22b4330271e95f97fe41a59e1179c.jpg", "expected": "8901491001137", "predicted": "8901491001137", "correct": true, "input_tokens": 1165, "output_tokens": 17, "elapsed_seconds": 3.577055500005372, "metadata": {"question": "What is the 13-digit number printed directly below the barcode? Format the answer as a continuous sequence of digits.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.6265}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 34, "image": "5382e8f7-15f4-42a9-a54d-379a13cef073_input-input-1778848976488-hc2g5oq4u_png_jpg.rf.00a60ea7c1d1fe980ffa61040dbb248a.jpg", "expected": "13877350", "predicted": "13877350", "correct": true, "input_tokens": 1146, "output_tokens": 12, "elapsed_seconds": 6.984328666003421, "metadata": {"question": "What is the exact eight-digit number printed directly beneath the barcode in the top center \"Process Order\" section? Output the answer as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.1059}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 35, "image": "5382e8f7-15f4-42a9-a54d-379a13cef073_input-input-1778848976488-hc2g5oq4u_png_jpg.rf.00a60ea7c1d1fe980ffa61040dbb248a.jpg", "expected": "23:59:59", "predicted": "23:59:59", "correct": true, "input_tokens": 1146, "output_tokens": 12, "elapsed_seconds": 3.8662871250417084, "metadata": {"question": "What is the precise time listed under \"Scheduled Finish\" in the Production Scheduler section? Format the answer exactly as it appears (HH:MM:SS)", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.9787}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 36, "image": "df23429e-5fcf-4520-b958-bc8eda842562_input-input-1779516894552-yx6kf3wwi_png_jpg.rf.162bd99f2b2cc0a242610ac878dada35.jpg", "expected": "000865491059", "predicted": "000865491059", "correct": true, "input_tokens": 1175, "output_tokens": 16, "elapsed_seconds": 3.6914852500194684, "metadata": {"question": "What TIN is printed beside the QR code near the top right of the receipt? Format the answer as a continuous sequence of digits (e.g., 123456789012).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.7813}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 37, "image": "df23429e-5fcf-4520-b958-bc8eda842562_input-input-1779516894552-yx6kf3wwi_png_jpg.rf.162bd99f2b2cc0a242610ac878dada35.jpg", "expected": "GAX2354", "predicted": "GAX2354", "correct": true, "input_tokens": 1164, "output_tokens": 10, "elapsed_seconds": 3.6085243329871446, "metadata": {"question": "What plate number is printed in large type under the 'PAYMENT DETAILS' header? Output the text exactly as printed (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.6991}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 38, "image": "df23429e-5fcf-4520-b958-bc8eda842562_input-input-1779516894552-yx6kf3wwi_png_jpg.rf.162bd99f2b2cc0a242610ac878dada35.jpg", "expected": "0760-000000202792", "predicted": "0760-000000202792", "correct": true, "input_tokens": 1186, "output_tokens": 21, "elapsed_seconds": 3.0614685410400853, "metadata": {"question": "What is the long number printed immediately to the right of the dark \"OFFICIAL RECEIPT\" box? Format the answer as a continuous sequence of digits and hyphens (e.g., 1234-000000123456).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1536}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 39, "image": "1710a83d-1506-464e-83bf-f015141f1c37_input-input-1779171626146-78hoa3cju_png_jpg.rf.a4a6a3c3c8761b330dfe9cd2bc8a847a.jpg", "expected": "Thursday 22", "predicted": "Thursday 22", "correct": true, "input_tokens": 1183, "output_tokens": 8, "elapsed_seconds": 2.9254739159950987, "metadata": {"question": "What is the specific day of the week and date highlighted with a solid blue background on the right side of the calendar grid? Format the answer exactly as \"[Day of week] [Date number]\".", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9403}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 40, "image": "fc6e5e8d-4b33-4a20-a63a-96c0205ae8f6_png_jpg.rf.25fdc583a5ef5268cc575d85fb3c0924.jpg", "expected": "189300", "predicted": "189300", "correct": true, "input_tokens": 1185, "output_tokens": 10, "elapsed_seconds": 2.2235842500813305, "metadata": {"question": "What is the handwritten number written directly after \"R#\" at the bottom right corner of the page? Format the answer as a continuous sequence of digits (e.g., 123456).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.2533}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 41, "image": "76b25762-3b57-4158-9fab-945416165ada_png_jpg.rf.f417d6fc1ac47927bd5024452bf580e7.jpg", "expected": "#1123656-1", "predicted": "#1123656-1", "correct": true, "input_tokens": 1167, "output_tokens": 14, "elapsed_seconds": 2.939360124990344, "metadata": {"question": "What is the check number printed directly below the date 'TUE JANUARY 20, 2026'? Format the answer exactly as printed, including the hash symbol and hyphen (e.g., #123456-7).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.063}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 42, "image": "c3f661e1-1ce5-4c6b-ba39-f052aa469ae2_input-input-1780892587755-2dtxi0at3_png_jpg.rf.2e59559f9c0a22eb34f879380e77c649.jpg", "expected": "Andrew Ainsley", "predicted": "Andrew Ainsley", "correct": true, "input_tokens": 1159, "output_tokens": 7, "elapsed_seconds": 2.802806166931987, "metadata": {"question": "What full name is shown beneath the 'Full Name' label? Output the text exactly as printed, preserving capitalization (e.g., Jane Doe).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8226}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 43, "image": "c3f661e1-1ce5-4c6b-ba39-f052aa469ae2_input-input-1780892587755-2dtxi0at3_png_jpg.rf.2e59559f9c0a22eb34f879380e77c649.jpg", "expected": "+1-300-555-0399", "predicted": "+1-300-555-0399", "correct": true, "input_tokens": 1170, "output_tokens": 19, "elapsed_seconds": 2.2668998329900205, "metadata": {"question": "What phone number is shown beneath the 'Phone Number' label? Output the phone number exactly as printed (e.g., +1-222-333-4444).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.2835}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 44, "image": "acc53733-7609-4a88-9125-d9671368e31c_png_jpg.rf.1ebb25f78d83e52eabcdf2422409904b.jpg", "expected": "1:31.396", "predicted": "1:31.396", "correct": true, "input_tokens": 1196, "output_tokens": 12, "elapsed_seconds": 2.669849625090137, "metadata": {"question": "What is the lap time displayed next to the driver \"NOR\" at the top of the timing tower? Format the answer exactly as it appears on screen (e.g., 1:23.456).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.714}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 45, "image": "fc635714-9747-4562-934a-76a998f30986_input-input-1769516774340-ndngcy0b8_png_jpg.rf.69006b774b46928d96d99b793ff005ee.jpg", "expected": "09/2023", "predicted": "09/2023", "correct": true, "input_tokens": 1192, "output_tokens": 11, "elapsed_seconds": 2.7597270000260323, "metadata": {"question": "What is the date printed vertically along the left edge of the central blister pack? Format the answer exactly as it appears, including any punctuation (e.g., 12/2025).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8093}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 46, "image": "25e6ed9c-2d37-4533-8021-977770aa97d1_input-input-1780691294811-oql9y0w9f_png_jpg.rf.c03fb5cccd8a068f05019d0a4d371fc7.jpg", "expected": "026", "predicted": "026", "correct": true, "input_tokens": 1179, "output_tokens": 7, "elapsed_seconds": 2.7088002080563456, "metadata": {"question": "What is the three-digit identification number printed on the white roof of the truck cab? Format the answer as a sequence of three digits.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7608}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 47, "image": "1ad1c779-b18f-4aaa-9cf0-6155cb19879b_input-input-1769444672197-ug2bdacps_png_jpg.rf.995e162e3e39f5709ab077e0fbe2798b.jpg", "expected": "03/2027", "predicted": "The expiration date stamped on the bottom right corner of the blister pack is too blurry and low-resolution to be read with certainty. Please provide a clearer, higher-resolution close-up of the bottom edge of the packaging.", "correct": false, "input_tokens": 1164, "output_tokens": 49, "elapsed_seconds": 2.9384450829820707, "metadata": {"question": "What is the expiration date stamped at the bottom right corner of the left blister pack? Format the answer exactly as printed.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 2.9542}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 48, "image": "295f6019-a4f4-4a00-bb7b-6edfc37f54b6_input-input-1772410888497-d7tv6uegi_png_jpg.rf.efb04911d99ad83c1ce8d416c9966d16.jpg", "expected": "7811897358", "predicted": "7811897358", "correct": true, "input_tokens": 1138, "output_tokens": 14, "elapsed_seconds": 2.674603790976107, "metadata": {"question": "What is the NIP number printed near the top of the receipt? Format the answer as a continuous sequence of digits.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7764}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 49, "image": "21a6d806-d16e-4452-a2e3-7fa520bd671d_input-input-1769360430457-50a88jpis_png_jpg.rf.aa61306d9e54120882fabd13146cb148.jpg", "expected": "DIN 912 M8x25", "predicted": "DIN 912 M8x25", "correct": true, "input_tokens": 1151, "output_tokens": 14, "elapsed_seconds": 10.692382666980848, "metadata": {"question": "What is the exact text printed on the white label attached to the front of the middle plastic bin? Format the answer exactly as it appears in the image, preserving capitalization and spacing.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.811}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 50, "image": "db35c41c-a9ed-41bc-96cf-60186d715477_input-input-1774653477270-a4j6j7v6e_png_jpg.rf.57d75a03d42f0fc2b1029367596197db.jpg", "expected": "218", "predicted": "218", "correct": true, "input_tokens": 1188, "output_tokens": 7, "elapsed_seconds": 3.3485827499534935, "metadata": {"question": "What number is printed on the side of the large white crane in the upper right background? Format the answer as a continuous sequence of digits (e.g., 123).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.3995}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 51, "image": "ac750e7d-de93-4813-828d-409d16bd176b_png_jpg.rf.8ce341df035e51f25255571745407ba8.jpg", "expected": "Rev #1", "predicted": "Rev #1", "correct": true, "input_tokens": 1161, "output_tokens": 7, "elapsed_seconds": 3.2963823329191655, "metadata": {"question": "What is the handwritten text located at the top right corner of the page, above the \"OVERVIEW\" heading? Output the text exactly as written (e.g., Text #1).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.3197}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 52, "image": "f5be5818-9476-456d-be90-9636ea5b6baa_input-input-1775884904023-qoueoyinv_png_jpg.rf.bbf654b12e9dfcd3cdde57ef87b4b7d6.jpg", "expected": "510-795-6305", "predicted": "510-795-6305", "correct": true, "input_tokens": 1165, "output_tokens": 16, "elapsed_seconds": 2.532355082919821, "metadata": {"question": "What phone number is printed on the 'Fremont Hub' line below the bullseye logo? Format the answer exactly as a phone number with hyphens (e.g., 123-456-7890).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.5723}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 53, "image": "f5be5818-9476-456d-be90-9636ea5b6baa_input-input-1775884904023-qoueoyinv_png_jpg.rf.bbf654b12e9dfcd3cdde57ef87b4b7d6.jpg", "expected": "39201 Fremont Blvd", "predicted": "39201 Fremont Blvd", "correct": true, "input_tokens": 1151, "output_tokens": 11, "elapsed_seconds": 2.295979875023477, "metadata": {"question": "What street address is printed on the line below 'Fremont Hub'? Output the address exactly as printed (e.g., 12345 Main St).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.3343}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 54, "image": "f5be5818-9476-456d-be90-9636ea5b6baa_input-input-1775884904023-qoueoyinv_png_jpg.rf.bbf654b12e9dfcd3cdde57ef87b4b7d6.jpg", "expected": "01/16/2026", "predicted": "01/16/2026", "correct": true, "input_tokens": 1155, "output_tokens": 14, "elapsed_seconds": 3.512683290988207, "metadata": {"question": "What date is printed on the line directly above the barcode? Format the answer as MM/DD/YYYY (e.g., 04/05/2024).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.5533}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 55, "image": "f5be5818-9476-456d-be90-9636ea5b6baa_input-input-1775884904023-qoueoyinv_png_jpg.rf.bbf654b12e9dfcd3cdde57ef87b4b7d6.jpg", "expected": "$29.99", "predicted": "$29.99", "correct": true, "input_tokens": 1154, "output_tokens": 10, "elapsed_seconds": 4.083364416030236, "metadata": {"question": "What is the price listed for the \"BRITA ON TAP\" item in the KITCHEN section? Format the answer exactly as a dollar amount (e.g., $XX.XX).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.1229}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 56, "image": "f5be5818-9476-456d-be90-9636ea5b6baa_input-input-1775884904023-qoueoyinv_png_jpg.rf.bbf654b12e9dfcd3cdde57ef87b4b7d6.jpg", "expected": "245090218", "predicted": "245090218", "correct": true, "input_tokens": 1161, "output_tokens": 13, "elapsed_seconds": 5.73155649995897, "metadata": {"question": "What is the nine-digit item number printed to the left of \"BIOTRUE\"? Format the answer as a continuous sequence of digits (e.g., 890149100).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.7713}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 57, "image": "e6e06b1b-da53-41ac-bfdf-9316443ff037_png_jpg.rf.c1d6533563d5395cd9da770734324ce4.jpg", "expected": "31/3/24", "predicted": "31/3/24", "correct": true, "input_tokens": 1186, "output_tokens": 11, "elapsed_seconds": 4.357339833048172, "metadata": {"question": "What is the handwritten date written at the top left corner of the left page? Format the answer exactly as written (e.g., DD/M/YY).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.408}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 58, "image": "1a2826ae-6b4f-402d-871c-c99feec8673f_input-input-1773615096287-0i6s4vldj_png_jpg.rf.0bb97f973f3ca866a8ddeff16f4a9ab8.jpg", "expected": "4e63b-59184", "predicted": "4e63b-59184", "correct": true, "input_tokens": 1199, "output_tokens": 15, "elapsed_seconds": 2.5109002500539646, "metadata": {"question": "What is the first recovery code in the right column inside the dark code box? Format the answer as lowercase letters, digits, and a hyphen exactly as printed (e.g., ab123-cd456).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.5333}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 59, "image": "3250b041-2ce2-4500-a99d-6f95f5536be5_input-input-1779670032347-3m1xayuws_png_jpg.rf.f45bb85a65adb055ae0b0ce37334eb6d.jpg", "expected": "225/55 ZR 17", "predicted": "225/55 ZR 17", "correct": true, "input_tokens": 1165, "output_tokens": 14, "elapsed_seconds": 3.2784808330470696, "metadata": {"question": "What is the large tire-size marking beside the checkered-flag logo? Output the text exactly as printed, preserving spaces and symbols (e.g., 205/60 R 16).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.3516}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 60, "image": "04a7e555-066a-4662-be7d-1fab1d0a89bb_input-input-1773204169910-pu44i2o85_png_jpg.rf.f1ffe888c2d54063f42898d657dfa906.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1140, "output_tokens": 5, "elapsed_seconds": 2.5043008748907596, "metadata": {"question": "Which whole number on the dial is the needle of the main gauge pointing closest to? Output the answer as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.5816}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 61, "image": "9524ed4d-178c-4051-9357-7c560b07815a_png_jpg.rf.59849ff479e380b534b74d0addc8a4e5.jpg", "expected": "GBK9951P", "predicted": "GBK9951P", "correct": true, "input_tokens": 1162, "output_tokens": 11, "elapsed_seconds": 2.812347291968763, "metadata": {"question": "What is the license plate number on the vehicle? Format the answer as a continuous sequence of uppercase letters and digits with no spaces (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8481}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 62, "image": "4bd1305c-ba69-4b95-acbd-aeedcde5aeb5_input-input-1778614713022-g8ey7mf8j_png_jpg.rf.05583223686725fe6e962b4344e9fc7c.jpg", "expected": "2026-02-10 14:30:56", "predicted": "2026-02-10 14:30:56", "correct": true, "input_tokens": 1172, "output_tokens": 23, "elapsed_seconds": 4.007967458921485, "metadata": {"question": "What timestamp is overlaid near the top-right corner of the image? Output the timestamp exactly as printed.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.0496}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 63, "image": "2147a9a8-913a-4b7f-9b36-908eb54628d3_input-input-1771463083999-cj6damrec_png_jpg.rf.b1aa904aaf7b7942d731f9a9f25bc3e1.jpg", "expected": "06-28-2014", "predicted": "06-28-2014", "correct": true, "input_tokens": 1163, "output_tokens": 14, "elapsed_seconds": 2.6446615000022575, "metadata": {"question": "What is the exact date printed in the bottom left section of the receipt, just below the item count? Format the answer exactly as it appears in the image.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.689}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 64, "image": "2147a9a8-913a-4b7f-9b36-908eb54628d3_input-input-1771463083999-cj6damrec_png_jpg.rf.b1aa904aaf7b7942d731f9a9f25bc3e1.jpg", "expected": "3.79", "predicted": "3.79", "correct": true, "input_tokens": 1168, "output_tokens": 8, "elapsed_seconds": 3.7611289160558954, "metadata": {"question": "What is the numerical price listed in the right column for the item specifically named \"EGGS 1 DOZ ORGANIC BROWN.\"? Output the price as a decimal number without currency symbols.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.8064}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 65, "image": "2147a9a8-913a-4b7f-9b36-908eb54628d3_input-input-1771463083999-cj6damrec_png_jpg.rf.b1aa904aaf7b7942d731f9a9f25bc3e1.jpg", "expected": "$40.00", "predicted": "$40.00", "correct": true, "input_tokens": 1170, "output_tokens": 10, "elapsed_seconds": 3.6339422919554636, "metadata": {"question": "What is the exact cash amount tendered, printed directly to the right of the bold word \"CASH\" near the bottom of the receipt? Format the answer exactly as printed, including the dollar sign.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.6821}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 66, "image": "c1300d50-94fc-4081-b871-8338cef58e16_input-input-1778695950497-jbtexy630_png_jpg.rf.6fbb0636423109f2dfca5f2a22a6883a.jpg", "expected": "10:26", "predicted": "10:26", "correct": true, "input_tokens": 1190, "output_tokens": 9, "elapsed_seconds": 2.748385832994245, "metadata": {"question": "What is the time remaining in the period displayed in the center of the top scoreboard? Format the answer exactly as it appears on the screen (e.g., 12:34).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7883}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 67, "image": "c1300d50-94fc-4081-b871-8338cef58e16_input-input-1778695950497-jbtexy630_png_jpg.rf.6fbb0636423109f2dfca5f2a22a6883a.jpg", "expected": "53", "predicted": "53", "correct": true, "input_tokens": 1186, "output_tokens": 6, "elapsed_seconds": 2.3034309579525143, "metadata": {"question": "What is the total combined number of shots taken by both teams as displayed on the top scoreboard? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.3465}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 68, "image": "c1300d50-94fc-4081-b871-8338cef58e16_input-input-1778695950497-jbtexy630_png_jpg.rf.6fbb0636423109f2dfca5f2a22a6883a.jpg", "expected": "SEA 1 - TOR 1", "predicted": "SEA 1 - TOR 1", "correct": true, "input_tokens": 1189, "output_tokens": 11, "elapsed_seconds": 2.5473632919602096, "metadata": {"question": "What is the current score shown on the top scoreboard? Format your answer as ABC N - ABC N using the two team abbreviations (e.g., SEA 1 - TOR 2).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.5875}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 69, "image": "eeee1640-5005-460c-a3f3-12dfff951fc5_png_jpg.rf.648ce83a788a4eb5a650235397675f44.jpg", "expected": "PC5949A", "predicted": "PC5949A", "correct": true, "input_tokens": 1162, "output_tokens": 10, "elapsed_seconds": 3.571784249972552, "metadata": {"question": "What is the license plate number on the vehicle? Format the answer as a continuous sequence of uppercase letters and digits with no spaces (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.6174}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 70, "image": "93441566-50c0-4bfb-9a31-437a2bc5e4f2_png_jpg.rf.078ab0583bc75e5a47971dc175d8a0a3.jpg", "expected": "OP01-013", "predicted": "OP01-013", "correct": true, "input_tokens": 1191, "output_tokens": 11, "elapsed_seconds": 2.4031529169296846, "metadata": {"question": "What is the alphanumeric card code printed in the bottom right corner just before the block icon? Output the exact text as printed (e.g., \"OP02-001\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.4158}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 71, "image": "93441566-50c0-4bfb-9a31-437a2bc5e4f2_png_jpg.rf.078ab0583bc75e5a47971dc175d8a0a3.jpg", "expected": "3000", "predicted": "3000", "correct": true, "input_tokens": 1192, "output_tokens": 8, "elapsed_seconds": 2.9631886249408126, "metadata": {"question": "What power value is printed in the white box at the top-right corner of the card? Format the answer as a continuous sequence of digits (e.g., 7000).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.976}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 72, "image": "94f3adfa-0184-4872-8eb9-9f24e1a81a95_png_jpg.rf.2be986b2ba0f23bc57b7056a30d7423b.jpg", "expected": "1:26.0", "predicted": "1:26.0", "correct": true, "input_tokens": 1191, "output_tokens": 10, "elapsed_seconds": 2.9199982080608606, "metadata": {"question": "What lap time is shown in large white digits inside the center HAMILTON panel? Format the answer exactly as a time with a colon and decimal (e.g., 1:23.4).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.966}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 73, "image": "36e6af65-9cf0-4b16-b5b2-2dbf5d54ffae_input-input-1778190001786-w0937ikxt_png_jpg.rf.e59dce98ea670882a0a0bfb3e59730b2.jpg", "expected": "14", "predicted": "14", "correct": true, "input_tokens": 1173, "output_tokens": 6, "elapsed_seconds": 2.5925503749167547, "metadata": {"question": "What is the total number of empty ports on the white panel? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.6215}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 74, "image": "33299f4b-1857-4400-a31d-677ecd2c277a_input-input-1771415890481-7pfiombu0_png_jpg.rf.feabb125c41c69cf7d8c3aca315be50d.jpg", "expected": "12:07:56", "predicted": "12:07:56", "correct": true, "input_tokens": 1155, "output_tokens": 12, "elapsed_seconds": 2.842854500049725, "metadata": {"question": "What is the exact time displayed in the timestamp at the top left corner of the image? Format the answer exactly as HH:MM:SS.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9013}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 75, "image": "621387a6-d868-4912-90f1-7e8abd9df0c0_png_jpg.rf.a8276e972135e7eecb7d2d74936e608e.jpg", "expected": "TISSOT", "predicted": "TISSOT", "correct": true, "input_tokens": 1175, "output_tokens": 7, "elapsed_seconds": 3.0680096249561757, "metadata": {"question": "aahat brand name is printed upside-down in large letters in the lower half of the watch dial? Output the exact text as printed (e.g., ROLEX).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1638}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 76, "image": "621387a6-d868-4912-90f1-7e8abd9df0c0_png_jpg.rf.a8276e972135e7eecb7d2d74936e608e.jpg", "expected": "15", "predicted": "15", "correct": true, "input_tokens": 1178, "output_tokens": 6, "elapsed_seconds": 2.8941028750268742, "metadata": {"question": "What number is visible in the small date window near the upper-left edge of the blue dial? Format the answer as a continuous sequence of digits (e.g., 24).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.0061}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 77, "image": "0e9ddffb-4d1d-4c64-bfce-3e518dd1c8ae_input-input-1779391692177-bujnsi4tk_png_jpg.rf.36d93ac4b35d2ac11fcc66f37ebddb4b.jpg", "expected": "2 000111 111112", "predicted": "2 000111 111112", "correct": true, "input_tokens": 1144, "output_tokens": 19, "elapsed_seconds": 5.785661999951117, "metadata": {"question": "What is the sequence of digits printed directly alongside the barcode on the left side of the meter? Format the answer exactly as printed, including spaces.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.9065}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 78, "image": "9557f58e-ee73-4877-8bff-54aaa8bee062_input-input-1769507524173-1hzc9hfio_png_jpg.rf.a5376988f390a31b2c12912c07892281.jpg", "expected": "18", "predicted": "18", "correct": true, "input_tokens": 1174, "output_tokens": 6, "elapsed_seconds": 3.2156389580341056, "metadata": {"question": "What number is displayed clearly on the uppermost, flat face of the die? Output the answer as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.2758}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 79, "image": "f0c68933-64c5-49e6-8845-707afdc32a4e_input-input-1776058768062-tn8vkqrxk_png_jpg.rf.5d66532520dc17be0083a5fe2664c963.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1168, "output_tokens": 5, "elapsed_seconds": 2.826948541915044, "metadata": {"question": "What number is displayed in red on the digital indicator above the leftmost elevator doors? Output the exact digit (e.g., 5).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9046}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 80, "image": "f0c68933-64c5-49e6-8845-707afdc32a4e_input-input-1776058768062-tn8vkqrxk_png_jpg.rf.5d66532520dc17be0083a5fe2664c963.jpg", "expected": "14", "predicted": "14", "correct": true, "input_tokens": 1176, "output_tokens": 6, "elapsed_seconds": 5.355976540944539, "metadata": {"question": "What floor is this scene on, based on any floor signage or indicators visible in the image? Format the answer as a continuous sequence of digits (e.g., 5).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.4325}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 81, "image": "4409ba1c-5b55-47e4-8fb3-ed245021d0bb_input-input-1776892569933-6scj88bzo_png_jpg.rf.c5d4d0e67097acc2dc0e5a026f4d5514.jpg", "expected": "NEXT", "predicted": "NEXT", "correct": true, "input_tokens": 1143, "output_tokens": 5, "elapsed_seconds": 3.7565552920568734, "metadata": {"question": "What retailer name is printed in large letters near the left side of the receipt? Output the exact uppercase word (e.g., STORE).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.8326}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 82, "image": "4409ba1c-5b55-47e4-8fb3-ed245021d0bb_input-input-1776892569933-6scj88bzo_png_jpg.rf.c5d4d0e67097acc2dc0e5a026f4d5514.jpg", "expected": "0333 0055 512", "predicted": "0333 0055 512", "correct": true, "input_tokens": 1165, "output_tokens": 17, "elapsed_seconds": 3.116398499929346, "metadata": {"question": "What telephone number is printed on the line beginning with 'TEL' beneath 'London New Retail 0512'? Output the number exactly with spaces (e.g., 0123 4567 890).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1867}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 83, "image": "4409ba1c-5b55-47e4-8fb3-ed245021d0bb_input-input-1776892569933-6scj88bzo_png_jpg.rf.c5d4d0e67097acc2dc0e5a026f4d5514.jpg", "expected": "14 Mar 2026", "predicted": "14 Mar 2026", "correct": true, "input_tokens": 1155, "output_tokens": 12, "elapsed_seconds": 3.503226042026654, "metadata": {"question": "What calendar date is printed on the timestamp line beneath the TEL line? Output the date exactly as printed without the weekday or time (e.g., 01 Jan 2026).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.5772}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 84, "image": "4409ba1c-5b55-47e4-8fb3-ed245021d0bb_input-input-1776892569933-6scj88bzo_png_jpg.rf.c5d4d0e67097acc2dc0e5a026f4d5514.jpg", "expected": "\u00a397.00", "predicted": "\u00a397.00", "correct": true, "input_tokens": 1156, "output_tokens": 10, "elapsed_seconds": 3.40681266610045, "metadata": {"question": "What total refund amount is printed next to 'TOTAL REFUNDED TO ACCOUNT' in the middle of the receipt? Format the answer exactly as a pound amount (e.g., \u00a3XX.XX).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.4775}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 85, "image": "19f45907-d682-40cf-bb87-9133dc873871_input-input-1778506438615-gyarfruw4_png_jpg.rf.22e9fb7526b6b695a79118f2794a9ab3.jpg", "expected": "037156273", "predicted": "037156273", "correct": true, "input_tokens": 1191, "output_tokens": 13, "elapsed_seconds": 2.8161694580921903, "metadata": {"question": "What is the serial number printed directly after \"S/N:\" at the top of the meter? Format the answer as a continuous sequence of digits.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8388}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 86, "image": "1a8ee468-d168-4cec-bf83-881ad2853ed9_png_jpg.rf.02ee8e87c0ee9b2581f17ccbdb8fa702.jpg", "expected": "NYKU3687780", "predicted": "NYKU3687780", "correct": true, "input_tokens": 1159, "output_tokens": 13, "elapsed_seconds": 3.089291999931447, "metadata": {"question": "What is the vertical container identification code printed on the far left of the blue container? Format the answer as a continuous sequence of letters and numbers without spaces (e.g., ABCD1234567).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1565}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 87, "image": "1a8ee468-d168-4cec-bf83-881ad2853ed9_png_jpg.rf.02ee8e87c0ee9b2581f17ccbdb8fa702.jpg", "expected": "22G1", "predicted": "22G1", "correct": true, "input_tokens": 1148, "output_tokens": 8, "elapsed_seconds": 2.990663999924436, "metadata": {"question": "Which four-character code is printed vertically directly above the yellow height limit sign on the blue container? Output the code exactly as printed (e.g., ABCD).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.0592}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 88, "image": "ae20b44c-9be6-47a5-8002-2c417a2a2441_png_jpg.rf.d312136933cbfcb91483a2dfad0d53bd.jpg", "expected": "Sesame Seed", "predicted": "Sesame Seed", "correct": true, "input_tokens": 1165, "output_tokens": 7, "elapsed_seconds": 2.3339843340218067, "metadata": {"question": "What bold allergen name appears in the ingredients paragraph next to the word \"Paste\"? Output the text exactly as printed (e.g., Wheat).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.3445}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 89, "image": "ae20b44c-9be6-47a5-8002-2c417a2a2441_png_jpg.rf.d312136933cbfcb91483a2dfad0d53bd.jpg", "expected": "Per 1/4 pot", "predicted": "Per 1/4 pot", "correct": true, "input_tokens": 1176, "output_tokens": 10, "elapsed_seconds": 2.537760542007163, "metadata": {"question": "Which nutrition table header is immediately to the right of \"Per 100g\" in the row beneath \"NUTRITION\"? Output the text exactly as printed (e.g., Per item).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.5482}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 90, "image": "0212eb3d-e4b1-4ef4-9204-e920654bf677_input-input-1778110710064-oqhw5zz8j_png_jpg.rf.014217c55a8b2da0df65b97e042ed090.jpg", "expected": "$44.99", "predicted": "$44.99", "correct": true, "input_tokens": 1158, "output_tokens": 10, "elapsed_seconds": 3.450078667025082, "metadata": {"question": "What is the price displayed on the green \"Price Cut\" tag directly beneath the Four Roses Single Barrel on the top shelf? Format the answer exactly as a dollar amount (e.g., $XX.XX).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.5697}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 91, "image": "bab22192-40dc-46bd-b314-ea08adf480e4_input-input-1768993566899-f1f6n85t5_png_jpg.rf.e266ed38188402a2fd66c6ee3416a4f0.jpg", "expected": "250ml", "predicted": "250ml", "correct": true, "input_tokens": 1147, "output_tokens": 8, "elapsed_seconds": 3.3913171249441803, "metadata": {"question": "What capacity text is printed beneath the Fisherbrand logo on the right beaker? Output exactly with no added space (e.g., 100ml).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.472}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 92, "image": "bab22192-40dc-46bd-b314-ea08adf480e4_input-input-1768993566899-f1f6n85t5_png_jpg.rf.e266ed38188402a2fd66c6ee3416a4f0.jpg", "expected": "150ml", "predicted": "150 ml", "correct": true, "input_tokens": 1156, "output_tokens": 8, "elapsed_seconds": 2.5176127079175785, "metadata": {"question": "What is the liquid level in the leftmost beaker, as read from its printed measurement scale? Format the answer as a number followed by a space and ml (e.g., 100ml).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.6003}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 93, "image": "537aaf5f-ca39-4266-beec-32e4e9b2e3aa_png_jpg.rf.7a1f952bb873dc687f3b3f3d0dfe0301.jpg", "expected": "SLV3235L", "predicted": "SLV3235L", "correct": true, "input_tokens": 1167, "output_tokens": 11, "elapsed_seconds": 2.8722625829977915, "metadata": {"question": "What is the license plate number on the vehicle? Format the answer as a continuous sequence of uppercase letters and digits with no spaces (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8796}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 94, "image": "39fe721b-44c4-4a0c-aeac-2897520dfa68_input-input-1781394102861-00bvuicbi_png_jpg.rf.363242f15c7e98f02eea7cb38d065c13.jpg", "expected": "205/60 R 16", "predicted": "205/60 R 16", "correct": true, "input_tokens": 1166, "output_tokens": 14, "elapsed_seconds": 3.958189250086434, "metadata": {"question": "What is the large alphanumeric tire size sequence printed on the right side of the sidewall? Output the exact text including spaces and slashes.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.0356}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 95, "image": "0e4e059a-dffb-4d94-8827-06ec9a325906_input-input-1780878352625-ut880vj94_png_jpg.rf.bfa6b203688cdd30b56b2d4a213fe38e.jpg", "expected": "Brixx", "predicted": "Brixx", "correct": true, "input_tokens": 1159, "output_tokens": 7, "elapsed_seconds": 2.8999397080624476, "metadata": {"question": "What restaurant name is printed at the top center of the receipt? Output the text exactly as printed (e.g., Pizzeria Uno).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9189}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223724", "index": 96, "image": "0e4e059a-dffb-4d94-8827-06ec9a325906_input-input-1780878352625-ut880vj94_png_jpg.rf.bfa6b203688cdd30b56b2d4a213fe38e.jpg", "expected": "501 Meadowmont Village Circle", "predicted": "501 Meadowmont Village Circle", "correct": true, "input_tokens": 1164, "output_tokens": 11, "elapsed_seconds": 2.4388442089548334, "metadata": {"question": "What street address is printed directly beneath the \"Brixx\" heading? Output the address exactly as printed (e.g., 123 Main Street).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.4571}} diff --git a/results/extraction_gemini-4-argon_low_20261012_223726.jsonl b/results/extraction_gemini-4-argon_low_20261012_223726.jsonl new file mode 100644 index 0000000..feedc30 --- /dev/null +++ b/results/extraction_gemini-4-argon_low_20261012_223726.jsonl @@ -0,0 +1,97 @@ +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 0, "image": "9a8c8b2e-fb85-4a29-8a8e-c4d8e90a263c_input-input-1771415218745-lelho5crz_png_jpg.rf.c532e07f580fa8f33418c4e51767f52f.jpg", "expected": "10:27", "predicted": "10:27", "correct": true, "input_tokens": 1184, "output_tokens": 9, "elapsed_seconds": 4.9955497910268605, "metadata": {"question": "What is the time displayed in the top left corner of the dashboard? Format the answer exactly as it appears (e.g., 12:34).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.0984}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 1, "image": "9a8c8b2e-fb85-4a29-8a8e-c4d8e90a263c_input-input-1771415218745-lelho5crz_png_jpg.rf.c532e07f580fa8f33418c4e51767f52f.jpg", "expected": "7507 km", "predicted": "7507 km", "correct": true, "input_tokens": 1191, "output_tokens": 9, "elapsed_seconds": 4.400318457977846, "metadata": {"question": "What is the total odometer reading shown directly to the right of the 'P' gear indicator? Format the answer exactly as printed including the unit (e.g., 1234 km).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.493}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 2, "image": "9a8c8b2e-fb85-4a29-8a8e-c4d8e90a263c_input-input-1771415218745-lelho5crz_png_jpg.rf.c532e07f580fa8f33418c4e51767f52f.jpg", "expected": "20.5\u00b0C", "predicted": "20.5\u00b0C", "correct": true, "input_tokens": 1191, "output_tokens": 10, "elapsed_seconds": 4.0699114999733865, "metadata": {"question": "What is the temperature reading displayed in the top right corner of the dashboard? Format the answer exactly as printed including the degree symbol and unit (e.g., 22.0\u00b0C).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.1604}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 3, "image": "66bbef87-2e52-4a5a-8583-f52fbfa7465d_input-input-1778826066883-6t9qhnglh_png_jpg.rf.90a49214642ae3efbd28a7ef58d4a0d0.jpg", "expected": "$254", "predicted": "$254", "correct": true, "input_tokens": 1173, "output_tokens": 8, "elapsed_seconds": 2.5202345839934424, "metadata": {"question": "What is the total price for the Icon Room, explicitly stated to include taxes & fees? Output the answer exactly as printed, including the dollar sign.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.5605}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 4, "image": "66bbef87-2e52-4a5a-8583-f52fbfa7465d_input-input-1778826066883-6t9qhnglh_png_jpg.rf.90a49214642ae3efbd28a7ef58d4a0d0.jpg", "expected": "1500", "predicted": "1500", "correct": true, "input_tokens": 1183, "output_tokens": 8, "elapsed_seconds": 3.646538291941397, "metadata": {"question": "According to the \"Surroundings\" list on the right side of the page, what is the exact distance in feet to the Richmond Night Market? Output the answer as a single integer without units.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.6883}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 5, "image": "66bbef87-2e52-4a5a-8583-f52fbfa7465d_input-input-1778826066883-6t9qhnglh_png_jpg.rf.90a49214642ae3efbd28a7ef58d4a0d0.jpg", "expected": "9.1", "predicted": "9.1", "correct": true, "input_tokens": 1176, "output_tokens": 7, "elapsed_seconds": 2.823880249983631, "metadata": {"question": "What is the numerical customer review rating out of 10 displayed in the blue circle on the right side of the page? Output the answer as a decimal number.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8659}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 6, "image": "c9b00dcb-e093-43d9-baf8-f1971ff328af_input-input-1769103177177-3x5hfzwbp_png_jpg.rf.95edcd11e5d8724ab285b69ba52f6deb.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1143, "output_tokens": 5, "elapsed_seconds": 3.1679033329710364, "metadata": {"question": "What handwritten number appears near the upper left corner of the card? Format the answer as a single digit (e.g., 7).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.2214}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 7, "image": "c9b00dcb-e093-43d9-baf8-f1971ff328af_input-input-1769103177177-3x5hfzwbp_png_jpg.rf.95edcd11e5d8724ab285b69ba52f6deb.jpg", "expected": "G230", "predicted": "G230", "correct": true, "input_tokens": 1144, "output_tokens": 8, "elapsed_seconds": 2.641215958050452, "metadata": {"question": "What is the alphanumeric code printed on the tan half of the capsule? Output the exact text (e.g., \"A123\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.6966}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 8, "image": "f0d4c0bf-3a21-41a5-b0c2-c33b94feadb4_input-input-1771859752511-bk56l0pe1_png_jpg.rf.6c4ddb547fa7d14bea520ceb83d179fe.jpg", "expected": "63.490", "predicted": "63.490", "correct": true, "input_tokens": 1147, "output_tokens": 10, "elapsed_seconds": 7.391226417035796, "metadata": {"question": "What is the numerical value for the NET weight in LBS printed on the right door of the shipping container? Format the answer as a number including the decimal point.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.4942}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 9, "image": "f0d4c0bf-3a21-41a5-b0c2-c33b94feadb4_input-input-1771859752511-bk56l0pe1_png_jpg.rf.6c4ddb547fa7d14bea520ceb83d179fe.jpg", "expected": "TCKU 612608 6 45G1", "predicted": "TCKU 612608 6 45G1", "correct": true, "input_tokens": 1153, "output_tokens": 20, "elapsed_seconds": 3.8929531660396606, "metadata": {"question": "What is the complete two-line identification text printed in white on the upper right side of the container doors? Format the answer with a single space separating the top sequence from the bottom sequence.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.0017}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 10, "image": "f0d4c0bf-3a21-41a5-b0c2-c33b94feadb4_input-input-1771859752511-bk56l0pe1_png_jpg.rf.6c4ddb547fa7d14bea520ceb83d179fe.jpg", "expected": "2516510", "predicted": "2516390", "correct": false, "input_tokens": 1135, "output_tokens": 11, "elapsed_seconds": 3.8830969999544322, "metadata": {"question": "What is the license plate number on the trailer? Format the answer as a continuous sequence of digits.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 3.9823}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 11, "image": "c9dbd271-e8bd-4a4c-9d90-dcc53a4910f6_input-input-1776792452299-9guc9kcwh_png_jpg.rf.499be0493ce07a3ce99ad741b1087b71.jpg", "expected": "0.40", "predicted": "0.40", "correct": true, "input_tokens": 1177, "output_tokens": 8, "elapsed_seconds": 4.799591082963161, "metadata": {"question": "What time is shown on the left display of the red chess clock behind the board? Format the answer as a time with a colon (e.g., 1.23).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.8509}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 12, "image": "91b13b86-2929-4232-a4d1-a9a98420477e_png_jpg.rf.2d391bd85b3ed91712271a024089677e.jpg", "expected": "GZ808S", "predicted": "GZ808S", "correct": true, "input_tokens": 1172, "output_tokens": 9, "elapsed_seconds": 2.7254881659755483, "metadata": {"question": "What is the license plate number on the vehicle? Format the answer as a continuous sequence of uppercase letters and digits with no spaces (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7318}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 13, "image": "d2029347-fd3c-40be-8d89-b0e1abf64e9b_input-input-1781204084098-88xr6eavh_png_jpg.rf.21d8156058ed4f8ed2cffba4507eedee.jpg", "expected": "9CGN302", "predicted": "9CGN302", "correct": true, "input_tokens": 1152, "output_tokens": 10, "elapsed_seconds": 3.9211384580703452, "metadata": {"question": "What is the license plate number on the rear of the black SUV? Format the answer as a continuous sequence of uppercase letters and digits (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.9888}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 14, "image": "d2029347-fd3c-40be-8d89-b0e1abf64e9b_input-input-1781204084098-88xr6eavh_png_jpg.rf.21d8156058ed4f8ed2cffba4507eedee.jpg", "expected": "7WQV954", "predicted": "7WQV954", "correct": true, "input_tokens": 1156, "output_tokens": 10, "elapsed_seconds": 5.597362083964981, "metadata": {"question": "What is the license plate number on the rear of the grey car in the upper left? Format the answer as a continuous sequence of uppercase letters and digits (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.6648}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 15, "image": "d2029347-fd3c-40be-8d89-b0e1abf64e9b_input-input-1781204084098-88xr6eavh_png_jpg.rf.21d8156058ed4f8ed2cffba4507eedee.jpg", "expected": "YUKON", "predicted": "YUKON", "correct": true, "input_tokens": 1149, "output_tokens": 7, "elapsed_seconds": 3.4265729169128463, "metadata": {"question": "What text is written in silver letters on the lower left of the black SUV's tailgate? Output the exact text as printed (e.g., EXPLORER).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.494}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 16, "image": "020c3db8-dcc2-40e0-bf26-c874edb1612b_png_jpg.rf.a299e53bc85c66b204fae58e26a1e19b.jpg", "expected": "NCY1", "predicted": "NCY1", "correct": true, "input_tokens": 1178, "output_tokens": 7, "elapsed_seconds": 3.2630948750302196, "metadata": {"question": "What is the item code listed directly above 'CDMF' in the 'Item Code' column? Output the code exactly as printed in uppercase (e.g., ABCD).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.3185}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 17, "image": "41a7e177-1031-4d8e-bdee-eecbb1f0d240_input-input-1774997209388-d3qjo2hm2_png_jpg.rf.9a0e0f41aecab5811b006d59b42506db.jpg", "expected": "005708", "predicted": "005708", "correct": true, "input_tokens": 1169, "output_tokens": 10, "elapsed_seconds": 2.4244829999515787, "metadata": {"question": "What six-digit meter reading is shown in the black-framed LCD display? Format the answer as a continuous sequence of digits.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.4309}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 18, "image": "26584325-f95e-41e4-9f4b-99afc5ff078d_png_jpg.rf.30e30b60362db55140cd5874abc92899.jpg", "expected": "SIMONE KOVENSKY", "predicted": "SIMONE KOVENSKY", "correct": true, "input_tokens": 1152, "output_tokens": 10, "elapsed_seconds": 3.4633142920210958, "metadata": {"question": "What is the name written in the 'CLIENT:' field at the top right of the form? Output the name exactly as written in all capital letters (e.g., JOHN DOE).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.5428}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 19, "image": "c56ead6c-0697-4216-a27e-fbd28c19aaed_input-input-1781393738001-e3qhlmchi_png_jpg.rf.904ea3d34bf309c1a08a8147dd181e22.jpg", "expected": "225/65 R 17", "predicted": "225/65 R 17", "correct": true, "input_tokens": 1203, "output_tokens": 14, "elapsed_seconds": 5.09560249990318, "metadata": {"question": "What is the tire size printed directly to the right of the top-left \"MICHELIN\" brand name? Output the exact text as printed (e.g., 205/55 R 16).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.1395}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 20, "image": "c56ead6c-0697-4216-a27e-fbd28c19aaed_input-input-1781393738001-e3qhlmchi_png_jpg.rf.904ea3d34bf309c1a08a8147dd181e22.jpg", "expected": "POLAND", "predicted": "POLAND", "correct": true, "input_tokens": 1191, "output_tokens": 6, "elapsed_seconds": 4.175456750090234, "metadata": {"question": "What country is printed inside the oval directly below the words \"MADE IN\" on the bottom tire? Output the exact text as printed (e.g., GERMANY).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.2214}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 21, "image": "dce06136-2d24-422b-a3b6-e100c9a4bad1_input-input-1780992231793-0zf74ymfd_png_jpg.rf.d839d1c678628694e2bff03a7de7f25a.jpg", "expected": "1800 22 4020", "predicted": "1800 22 4020", "correct": true, "input_tokens": 1164, "output_tokens": 16, "elapsed_seconds": 5.7667388749541715, "metadata": {"question": "What phone number is printed after the line \"OR CALL US AT\"? Output the number exactly as printed, preserving spaces.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.8151}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 22, "image": "dce06136-2d24-422b-a3b6-e100c9a4bad1_input-input-1780992231793-0zf74ymfd_png_jpg.rf.d839d1c678628694e2bff03a7de7f25a.jpg", "expected": "8901491361026", "predicted": "8901491361026", "correct": true, "input_tokens": 1157, "output_tokens": 17, "elapsed_seconds": 5.33781745901797, "metadata": {"question": "What number is printed directly beneath the barcode on the package? Respond with digits only.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.3861}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 23, "image": "dce06136-2d24-422b-a3b6-e100c9a4bad1_input-input-1780992231793-0zf74ymfd_png_jpg.rf.d839d1c678628694e2bff03a7de7f25a.jpg", "expected": "558 kcal", "predicted": "558 kcal", "correct": true, "input_tokens": 1168, "output_tokens": 8, "elapsed_seconds": 3.85113874997478, "metadata": {"question": "In the nutritional information table, what is the Energy value per 100g? Respond with the number and unit exactly as shown.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.8993}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 24, "image": "145655c9-ac14-4dbb-8925-e2b81fb119e3_input-input-1778072520416-hq28k5crq_png_jpg.rf.4778c32b3806b491466ac777daff1840.jpg", "expected": "0176213", "predicted": "0176213", "correct": true, "input_tokens": 1150, "output_tokens": 11, "elapsed_seconds": 3.6797025409759954, "metadata": {"question": "What is the large, bold, seven digit number printed at the bottom right corner of the label attached to the metal shelf? Format the answer as a continuous sequence of digits.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.7473}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 25, "image": "145655c9-ac14-4dbb-8925-e2b81fb119e3_input-input-1778072520416-hq28k5crq_png_jpg.rf.4778c32b3806b491466ac777daff1840.jpg", "expected": "36", "predicted": "36", "correct": true, "input_tokens": 1142, "output_tokens": 6, "elapsed_seconds": 4.285972791956738, "metadata": {"question": "What is the total number of white PVC profile cross-sections visible in the entire stack? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.3527}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 26, "image": "47ad34a1-d784-48fd-bf0b-9814791703e3_input-input-1779422613724-1i91z3id8_png_jpg.rf.b05b9398755d107d94666106dd5d8aa8.jpg", "expected": "6315", "predicted": "6315", "correct": true, "input_tokens": 1169, "output_tokens": 8, "elapsed_seconds": 3.9290694589726627, "metadata": {"question": "What fleet number is printed on the rear window of the yellow bus at the right edge? Format the answer as a continuous sequence of digits (e.g., 1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.0039}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 27, "image": "47ad34a1-d784-48fd-bf0b-9814791703e3_input-input-1779422613724-1i91z3id8_png_jpg.rf.b05b9398755d107d94666106dd5d8aa8.jpg", "expected": "ZL 7237", "predicted": "ZL 7237", "correct": true, "input_tokens": 1168, "output_tokens": 10, "elapsed_seconds": 3.5866092909127474, "metadata": {"question": "What is the license plate number of the black SUV in the foreground right lane? Format the answer exactly as printed, including spaces (e.g., AB 1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.6634}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 28, "image": "cc68304c-144a-4975-a93a-d8efa85db6ed_input-input-1769095484858-rohdg9mmc_png_jpg.rf.378e0d7628c9899c5d343c8f700ca50b.jpg", "expected": "34", "predicted": "34", "correct": true, "input_tokens": 1170, "output_tokens": 6, "elapsed_seconds": 2.912318625021726, "metadata": {"question": "What is the large number displayed on the digital screen of the device? Output the exact number.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9691}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 29, "image": "d489f405-013e-4e8b-968a-1d9db2060050_png_jpg.rf.b6ede8915c0c026e32f0e8d070b1d247.jpg", "expected": "18", "predicted": "18", "correct": true, "input_tokens": 1170, "output_tokens": 6, "elapsed_seconds": 2.6830205420264974, "metadata": {"question": "What is the total quantity (QTY) of all items described as \"Air Filter\" in the DESCRIPTION column? Output the final sum as a single integer (e.g., 15).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7003}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 30, "image": "d0b99ce8-8a3b-4d1d-98d4-b34137b19f08_input-input-1768805031339-rs4dctz0p_png_jpg.rf.0b9ba7244c8f71c6879248740d0f2a0d.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1176, "output_tokens": 5, "elapsed_seconds": 3.5898582079680637, "metadata": {"question": "Counting rows from the top starting at 1, in which row is the green 'American Bankers Association' stamp located? Output the row number as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.6873}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 31, "image": "06072daf-424d-471e-a5cb-f8821cf88eb6_input-input-1772637869821-qu9ua1cb8_png_jpg.rf.dbc22b4330271e95f97fe41a59e1179c.jpg", "expected": "0.1", "predicted": "0.1", "correct": true, "input_tokens": 1165, "output_tokens": 7, "elapsed_seconds": 3.829978417023085, "metadata": {"question": "What is the exact numerical value listed for Trans Fat per 100g? Format the answer as a decimal number.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.8764}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 32, "image": "06072daf-424d-471e-a5cb-f8821cf88eb6_input-input-1772637869821-qu9ua1cb8_png_jpg.rf.dbc22b4330271e95f97fe41a59e1179c.jpg", "expected": "CONSUMER.FEEDBACK@PEPSICO.COM", "predicted": "CONSUMER.FEEDBACK@PEPSICO.COM", "correct": true, "input_tokens": 1160, "output_tokens": 14, "elapsed_seconds": 2.744783249916509, "metadata": {"question": "What is the email address provided for consumer feedback or queries? Output the email address exactly as printed.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7919}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 33, "image": "06072daf-424d-471e-a5cb-f8821cf88eb6_input-input-1772637869821-qu9ua1cb8_png_jpg.rf.dbc22b4330271e95f97fe41a59e1179c.jpg", "expected": "8901491001137", "predicted": "8901491001137", "correct": true, "input_tokens": 1165, "output_tokens": 17, "elapsed_seconds": 8.95775100006722, "metadata": {"question": "What is the 13-digit number printed directly below the barcode? Format the answer as a continuous sequence of digits.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.0055}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 34, "image": "5382e8f7-15f4-42a9-a54d-379a13cef073_input-input-1778848976488-hc2g5oq4u_png_jpg.rf.00a60ea7c1d1fe980ffa61040dbb248a.jpg", "expected": "13877350", "predicted": "13877350", "correct": true, "input_tokens": 1146, "output_tokens": 12, "elapsed_seconds": 4.214686791063286, "metadata": {"question": "What is the exact eight-digit number printed directly beneath the barcode in the top center \"Process Order\" section? Output the answer as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.3282}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 35, "image": "5382e8f7-15f4-42a9-a54d-379a13cef073_input-input-1778848976488-hc2g5oq4u_png_jpg.rf.00a60ea7c1d1fe980ffa61040dbb248a.jpg", "expected": "23:59:59", "predicted": "23:59:59", "correct": true, "input_tokens": 1146, "output_tokens": 12, "elapsed_seconds": 3.088480333914049, "metadata": {"question": "What is the precise time listed under \"Scheduled Finish\" in the Production Scheduler section? Format the answer exactly as it appears (HH:MM:SS)", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.2021}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 36, "image": "df23429e-5fcf-4520-b958-bc8eda842562_input-input-1779516894552-yx6kf3wwi_png_jpg.rf.162bd99f2b2cc0a242610ac878dada35.jpg", "expected": "000865491059", "predicted": "000865491059", "correct": true, "input_tokens": 1175, "output_tokens": 16, "elapsed_seconds": 4.245342124952003, "metadata": {"question": "What TIN is printed beside the QR code near the top right of the receipt? Format the answer as a continuous sequence of digits (e.g., 123456789012).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.3353}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 37, "image": "df23429e-5fcf-4520-b958-bc8eda842562_input-input-1779516894552-yx6kf3wwi_png_jpg.rf.162bd99f2b2cc0a242610ac878dada35.jpg", "expected": "GAX2354", "predicted": "GAX2354", "correct": true, "input_tokens": 1164, "output_tokens": 10, "elapsed_seconds": 3.37739854096435, "metadata": {"question": "What plate number is printed in large type under the 'PAYMENT DETAILS' header? Output the text exactly as printed (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.4683}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 38, "image": "df23429e-5fcf-4520-b958-bc8eda842562_input-input-1779516894552-yx6kf3wwi_png_jpg.rf.162bd99f2b2cc0a242610ac878dada35.jpg", "expected": "0760-000000202792", "predicted": "0760-000000202792", "correct": true, "input_tokens": 1186, "output_tokens": 21, "elapsed_seconds": 3.8579123329836875, "metadata": {"question": "What is the long number printed immediately to the right of the dark \"OFFICIAL RECEIPT\" box? Format the answer as a continuous sequence of digits and hyphens (e.g., 1234-000000123456).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.9508}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 39, "image": "1710a83d-1506-464e-83bf-f015141f1c37_input-input-1779171626146-78hoa3cju_png_jpg.rf.a4a6a3c3c8761b330dfe9cd2bc8a847a.jpg", "expected": "Thursday 22", "predicted": "Thursday 22", "correct": true, "input_tokens": 1183, "output_tokens": 8, "elapsed_seconds": 3.539499583072029, "metadata": {"question": "What is the specific day of the week and date highlighted with a solid blue background on the right side of the calendar grid? Format the answer exactly as \"[Day of week] [Date number]\".", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.5566}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 40, "image": "fc6e5e8d-4b33-4a20-a63a-96c0205ae8f6_png_jpg.rf.25fdc583a5ef5268cc575d85fb3c0924.jpg", "expected": "189300", "predicted": "189300", "correct": true, "input_tokens": 1185, "output_tokens": 10, "elapsed_seconds": 2.3896701670018956, "metadata": {"question": "What is the handwritten number written directly after \"R#\" at the bottom right corner of the page? Format the answer as a continuous sequence of digits (e.g., 123456).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.4201}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 41, "image": "76b25762-3b57-4158-9fab-945416165ada_png_jpg.rf.f417d6fc1ac47927bd5024452bf580e7.jpg", "expected": "#1123656-1", "predicted": "#1123656-1", "correct": true, "input_tokens": 1167, "output_tokens": 14, "elapsed_seconds": 3.0229980420554057, "metadata": {"question": "What is the check number printed directly below the date 'TUE JANUARY 20, 2026'? Format the answer exactly as printed, including the hash symbol and hyphen (e.g., #123456-7).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1463}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 42, "image": "c3f661e1-1ce5-4c6b-ba39-f052aa469ae2_input-input-1780892587755-2dtxi0at3_png_jpg.rf.2e59559f9c0a22eb34f879380e77c649.jpg", "expected": "Andrew Ainsley", "predicted": "Andrew Ainsley", "correct": true, "input_tokens": 1159, "output_tokens": 7, "elapsed_seconds": 2.499062583083287, "metadata": {"question": "What full name is shown beneath the 'Full Name' label? Output the text exactly as printed, preserving capitalization (e.g., Jane Doe).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.5156}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 43, "image": "c3f661e1-1ce5-4c6b-ba39-f052aa469ae2_input-input-1780892587755-2dtxi0at3_png_jpg.rf.2e59559f9c0a22eb34f879380e77c649.jpg", "expected": "+1-300-555-0399", "predicted": "+1-300-555-0399", "correct": true, "input_tokens": 1170, "output_tokens": 19, "elapsed_seconds": 2.19340300001204, "metadata": {"question": "What phone number is shown beneath the 'Phone Number' label? Output the phone number exactly as printed (e.g., +1-222-333-4444).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.2131}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 44, "image": "acc53733-7609-4a88-9125-d9671368e31c_png_jpg.rf.1ebb25f78d83e52eabcdf2422409904b.jpg", "expected": "1:31.396", "predicted": "1:31.396", "correct": true, "input_tokens": 1196, "output_tokens": 12, "elapsed_seconds": 3.9116443340899423, "metadata": {"question": "What is the lap time displayed next to the driver \"NOR\" at the top of the timing tower? Format the answer exactly as it appears on screen (e.g., 1:23.456).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.952}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 45, "image": "fc635714-9747-4562-934a-76a998f30986_input-input-1769516774340-ndngcy0b8_png_jpg.rf.69006b774b46928d96d99b793ff005ee.jpg", "expected": "09/2023", "predicted": "09/2023", "correct": true, "input_tokens": 1192, "output_tokens": 11, "elapsed_seconds": 2.9934019579086453, "metadata": {"question": "What is the date printed vertically along the left edge of the central blister pack? Format the answer exactly as it appears, including any punctuation (e.g., 12/2025).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.0461}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 46, "image": "25e6ed9c-2d37-4533-8021-977770aa97d1_input-input-1780691294811-oql9y0w9f_png_jpg.rf.c03fb5cccd8a068f05019d0a4d371fc7.jpg", "expected": "026", "predicted": "026", "correct": true, "input_tokens": 1179, "output_tokens": 7, "elapsed_seconds": 2.7446337920846418, "metadata": {"question": "What is the three-digit identification number printed on the white roof of the truck cab? Format the answer as a sequence of three digits.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7962}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 47, "image": "1ad1c779-b18f-4aaa-9cf0-6155cb19879b_input-input-1769444672197-ug2bdacps_png_jpg.rf.995e162e3e39f5709ab077e0fbe2798b.jpg", "expected": "03/2027", "predicted": "The expiration date stamped at the bottom right corner of the left blister pack is too blurry and low-resolution to be read with certainty. Please provide a clearer, higher-resolution close-up of the bottom edge of the blister pack so the stamped text can be accurately identified.", "correct": false, "input_tokens": 1164, "output_tokens": 59, "elapsed_seconds": 2.5847906249109656, "metadata": {"question": "What is the expiration date stamped at the bottom right corner of the left blister pack? Format the answer exactly as printed.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 2.6025}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 48, "image": "295f6019-a4f4-4a00-bb7b-6edfc37f54b6_input-input-1772410888497-d7tv6uegi_png_jpg.rf.efb04911d99ad83c1ce8d416c9966d16.jpg", "expected": "7811897358", "predicted": "7811897358", "correct": true, "input_tokens": 1138, "output_tokens": 14, "elapsed_seconds": 2.662199459038675, "metadata": {"question": "What is the NIP number printed near the top of the receipt? Format the answer as a continuous sequence of digits.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7643}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 49, "image": "21a6d806-d16e-4452-a2e3-7fa520bd671d_input-input-1769360430457-50a88jpis_png_jpg.rf.aa61306d9e54120882fabd13146cb148.jpg", "expected": "DIN 912 M8x25", "predicted": "DIN 912 M8x25", "correct": true, "input_tokens": 1151, "output_tokens": 14, "elapsed_seconds": 7.690103375003673, "metadata": {"question": "What is the exact text printed on the white label attached to the front of the middle plastic bin? Format the answer exactly as it appears in the image, preserving capitalization and spacing.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.8128}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 50, "image": "db35c41c-a9ed-41bc-96cf-60186d715477_input-input-1774653477270-a4j6j7v6e_png_jpg.rf.57d75a03d42f0fc2b1029367596197db.jpg", "expected": "218", "predicted": "218", "correct": true, "input_tokens": 1188, "output_tokens": 7, "elapsed_seconds": 2.763197415973991, "metadata": {"question": "What number is printed on the side of the large white crane in the upper right background? Format the answer as a continuous sequence of digits (e.g., 123).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8159}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 51, "image": "ac750e7d-de93-4813-828d-409d16bd176b_png_jpg.rf.8ce341df035e51f25255571745407ba8.jpg", "expected": "Rev #1", "predicted": "Rev #1", "correct": true, "input_tokens": 1161, "output_tokens": 7, "elapsed_seconds": 2.3259460841072723, "metadata": {"question": "What is the handwritten text located at the top right corner of the page, above the \"OVERVIEW\" heading? Output the text exactly as written (e.g., Text #1).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.3476}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 52, "image": "f5be5818-9476-456d-be90-9636ea5b6baa_input-input-1775884904023-qoueoyinv_png_jpg.rf.bbf654b12e9dfcd3cdde57ef87b4b7d6.jpg", "expected": "510-795-6305", "predicted": "510-795-6305", "correct": true, "input_tokens": 1165, "output_tokens": 16, "elapsed_seconds": 2.797090374981053, "metadata": {"question": "What phone number is printed on the 'Fremont Hub' line below the bullseye logo? Format the answer exactly as a phone number with hyphens (e.g., 123-456-7890).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8357}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 53, "image": "f5be5818-9476-456d-be90-9636ea5b6baa_input-input-1775884904023-qoueoyinv_png_jpg.rf.bbf654b12e9dfcd3cdde57ef87b4b7d6.jpg", "expected": "39201 Fremont Blvd", "predicted": "39201 Fremont Blvd", "correct": true, "input_tokens": 1151, "output_tokens": 11, "elapsed_seconds": 2.324122750083916, "metadata": {"question": "What street address is printed on the line below 'Fremont Hub'? Output the address exactly as printed (e.g., 12345 Main St).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.3648}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 54, "image": "f5be5818-9476-456d-be90-9636ea5b6baa_input-input-1775884904023-qoueoyinv_png_jpg.rf.bbf654b12e9dfcd3cdde57ef87b4b7d6.jpg", "expected": "01/16/2026", "predicted": "01/16/2026", "correct": true, "input_tokens": 1155, "output_tokens": 14, "elapsed_seconds": 2.8823799579404294, "metadata": {"question": "What date is printed on the line directly above the barcode? Format the answer as MM/DD/YYYY (e.g., 04/05/2024).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9195}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 55, "image": "f5be5818-9476-456d-be90-9636ea5b6baa_input-input-1775884904023-qoueoyinv_png_jpg.rf.bbf654b12e9dfcd3cdde57ef87b4b7d6.jpg", "expected": "$29.99", "predicted": "$29.99", "correct": true, "input_tokens": 1154, "output_tokens": 10, "elapsed_seconds": 2.6180745830060914, "metadata": {"question": "What is the price listed for the \"BRITA ON TAP\" item in the KITCHEN section? Format the answer exactly as a dollar amount (e.g., $XX.XX).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.6548}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 56, "image": "f5be5818-9476-456d-be90-9636ea5b6baa_input-input-1775884904023-qoueoyinv_png_jpg.rf.bbf654b12e9dfcd3cdde57ef87b4b7d6.jpg", "expected": "245090218", "predicted": "245090218", "correct": true, "input_tokens": 1161, "output_tokens": 13, "elapsed_seconds": 2.6685229579452425, "metadata": {"question": "What is the nine-digit item number printed to the left of \"BIOTRUE\"? Format the answer as a continuous sequence of digits (e.g., 890149100).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7058}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 57, "image": "e6e06b1b-da53-41ac-bfdf-9316443ff037_png_jpg.rf.c1d6533563d5395cd9da770734324ce4.jpg", "expected": "31/3/24", "predicted": "31/3/24", "correct": true, "input_tokens": 1186, "output_tokens": 11, "elapsed_seconds": 3.31298299995251, "metadata": {"question": "What is the handwritten date written at the top left corner of the left page? Format the answer exactly as written (e.g., DD/M/YY).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.3629}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 58, "image": "1a2826ae-6b4f-402d-871c-c99feec8673f_input-input-1773615096287-0i6s4vldj_png_jpg.rf.0bb97f973f3ca866a8ddeff16f4a9ab8.jpg", "expected": "4e63b-59184", "predicted": "4e63b-59184", "correct": true, "input_tokens": 1199, "output_tokens": 15, "elapsed_seconds": 2.947770875063725, "metadata": {"question": "What is the first recovery code in the right column inside the dark code box? Format the answer as lowercase letters, digits, and a hyphen exactly as printed (e.g., ab123-cd456).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9696}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 59, "image": "3250b041-2ce2-4500-a99d-6f95f5536be5_input-input-1779670032347-3m1xayuws_png_jpg.rf.f45bb85a65adb055ae0b0ce37334eb6d.jpg", "expected": "225/55 ZR 17", "predicted": "225/55 ZR 17", "correct": true, "input_tokens": 1165, "output_tokens": 14, "elapsed_seconds": 3.362960333004594, "metadata": {"question": "What is the large tire-size marking beside the checkered-flag logo? Output the text exactly as printed, preserving spaces and symbols (e.g., 205/60 R 16).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.4364}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 60, "image": "04a7e555-066a-4662-be7d-1fab1d0a89bb_input-input-1773204169910-pu44i2o85_png_jpg.rf.f1ffe888c2d54063f42898d657dfa906.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1140, "output_tokens": 5, "elapsed_seconds": 3.3934866250492632, "metadata": {"question": "Which whole number on the dial is the needle of the main gauge pointing closest to? Output the answer as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.471}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 61, "image": "9524ed4d-178c-4051-9357-7c560b07815a_png_jpg.rf.59849ff479e380b534b74d0addc8a4e5.jpg", "expected": "GBK9951P", "predicted": "GBK9951P", "correct": true, "input_tokens": 1162, "output_tokens": 11, "elapsed_seconds": 2.5050480409990996, "metadata": {"question": "What is the license plate number on the vehicle? Format the answer as a continuous sequence of uppercase letters and digits with no spaces (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.5359}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 62, "image": "4bd1305c-ba69-4b95-acbd-aeedcde5aeb5_input-input-1778614713022-g8ey7mf8j_png_jpg.rf.05583223686725fe6e962b4344e9fc7c.jpg", "expected": "2026-02-10 14:30:56", "predicted": "2026-02-10 14:30:56", "correct": true, "input_tokens": 1172, "output_tokens": 23, "elapsed_seconds": 3.4073970000026748, "metadata": {"question": "What timestamp is overlaid near the top-right corner of the image? Output the timestamp exactly as printed.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.4493}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 63, "image": "2147a9a8-913a-4b7f-9b36-908eb54628d3_input-input-1771463083999-cj6damrec_png_jpg.rf.b1aa904aaf7b7942d731f9a9f25bc3e1.jpg", "expected": "06-28-2014", "predicted": "06-28-2014", "correct": true, "input_tokens": 1163, "output_tokens": 14, "elapsed_seconds": 4.14589512499515, "metadata": {"question": "What is the exact date printed in the bottom left section of the receipt, just below the item count? Format the answer exactly as it appears in the image.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.1907}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 64, "image": "2147a9a8-913a-4b7f-9b36-908eb54628d3_input-input-1771463083999-cj6damrec_png_jpg.rf.b1aa904aaf7b7942d731f9a9f25bc3e1.jpg", "expected": "3.79", "predicted": "3.79", "correct": true, "input_tokens": 1168, "output_tokens": 8, "elapsed_seconds": 2.5872348330449313, "metadata": {"question": "What is the numerical price listed in the right column for the item specifically named \"EGGS 1 DOZ ORGANIC BROWN.\"? Output the price as a decimal number without currency symbols.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.6326}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 65, "image": "2147a9a8-913a-4b7f-9b36-908eb54628d3_input-input-1771463083999-cj6damrec_png_jpg.rf.b1aa904aaf7b7942d731f9a9f25bc3e1.jpg", "expected": "$40.00", "predicted": "$40.00", "correct": true, "input_tokens": 1170, "output_tokens": 10, "elapsed_seconds": 2.556109542027116, "metadata": {"question": "What is the exact cash amount tendered, printed directly to the right of the bold word \"CASH\" near the bottom of the receipt? Format the answer exactly as printed, including the dollar sign.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.6026}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 66, "image": "c1300d50-94fc-4081-b871-8338cef58e16_input-input-1778695950497-jbtexy630_png_jpg.rf.6fbb0636423109f2dfca5f2a22a6883a.jpg", "expected": "10:26", "predicted": "10:26", "correct": true, "input_tokens": 1190, "output_tokens": 9, "elapsed_seconds": 3.99430233403109, "metadata": {"question": "What is the time remaining in the period displayed in the center of the top scoreboard? Format the answer exactly as it appears on the screen (e.g., 12:34).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.0339}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 67, "image": "c1300d50-94fc-4081-b871-8338cef58e16_input-input-1778695950497-jbtexy630_png_jpg.rf.6fbb0636423109f2dfca5f2a22a6883a.jpg", "expected": "53", "predicted": "53", "correct": true, "input_tokens": 1186, "output_tokens": 6, "elapsed_seconds": 2.833661500015296, "metadata": {"question": "What is the total combined number of shots taken by both teams as displayed on the top scoreboard? Output the final count as a single integer (e.g., 3).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8733}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 68, "image": "c1300d50-94fc-4081-b871-8338cef58e16_input-input-1778695950497-jbtexy630_png_jpg.rf.6fbb0636423109f2dfca5f2a22a6883a.jpg", "expected": "SEA 1 - TOR 1", "predicted": "SEA 1 - TOR 1", "correct": true, "input_tokens": 1189, "output_tokens": 11, "elapsed_seconds": 2.716308208066039, "metadata": {"question": "What is the current score shown on the top scoreboard? Format your answer as ABC N - ABC N using the two team abbreviations (e.g., SEA 1 - TOR 2).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8257}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 69, "image": "eeee1640-5005-460c-a3f3-12dfff951fc5_png_jpg.rf.648ce83a788a4eb5a650235397675f44.jpg", "expected": "PC5949A", "predicted": "PC5949A", "correct": true, "input_tokens": 1162, "output_tokens": 10, "elapsed_seconds": 2.511347541003488, "metadata": {"question": "What is the license plate number on the vehicle? Format the answer as a continuous sequence of uppercase letters and digits with no spaces (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.5595}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 70, "image": "93441566-50c0-4bfb-9a31-437a2bc5e4f2_png_jpg.rf.078ab0583bc75e5a47971dc175d8a0a3.jpg", "expected": "OP01-013", "predicted": "OP01-013", "correct": true, "input_tokens": 1191, "output_tokens": 11, "elapsed_seconds": 2.6856079580029473, "metadata": {"question": "What is the alphanumeric card code printed in the bottom right corner just before the block icon? Output the exact text as printed (e.g., \"OP02-001\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.6988}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 71, "image": "93441566-50c0-4bfb-9a31-437a2bc5e4f2_png_jpg.rf.078ab0583bc75e5a47971dc175d8a0a3.jpg", "expected": "3000", "predicted": "3000", "correct": true, "input_tokens": 1192, "output_tokens": 8, "elapsed_seconds": 2.2405654590111226, "metadata": {"question": "What power value is printed in the white box at the top-right corner of the card? Format the answer as a continuous sequence of digits (e.g., 7000).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.2534}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 72, "image": "94f3adfa-0184-4872-8eb9-9f24e1a81a95_png_jpg.rf.2be986b2ba0f23bc57b7056a30d7423b.jpg", "expected": "1:26.0", "predicted": "1:26.0", "correct": true, "input_tokens": 1191, "output_tokens": 10, "elapsed_seconds": 2.8276826669462025, "metadata": {"question": "What lap time is shown in large white digits inside the center HAMILTON panel? Format the answer exactly as a time with a colon and decimal (e.g., 1:23.4).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8744}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 73, "image": "36e6af65-9cf0-4b16-b5b2-2dbf5d54ffae_input-input-1778190001786-w0937ikxt_png_jpg.rf.e59dce98ea670882a0a0bfb3e59730b2.jpg", "expected": "14", "predicted": "14", "correct": true, "input_tokens": 1173, "output_tokens": 6, "elapsed_seconds": 2.6893779159290716, "metadata": {"question": "What is the total number of empty ports on the white panel? Output the final count as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7182}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 74, "image": "33299f4b-1857-4400-a31d-677ecd2c277a_input-input-1771415890481-7pfiombu0_png_jpg.rf.feabb125c41c69cf7d8c3aca315be50d.jpg", "expected": "12:07:56", "predicted": "12:07:56", "correct": true, "input_tokens": 1155, "output_tokens": 12, "elapsed_seconds": 2.8533158749341965, "metadata": {"question": "What is the exact time displayed in the timestamp at the top left corner of the image? Format the answer exactly as HH:MM:SS.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9142}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 75, "image": "621387a6-d868-4912-90f1-7e8abd9df0c0_png_jpg.rf.a8276e972135e7eecb7d2d74936e608e.jpg", "expected": "TISSOT", "predicted": "TISSOT", "correct": true, "input_tokens": 1175, "output_tokens": 7, "elapsed_seconds": 4.011843209038489, "metadata": {"question": "aahat brand name is printed upside-down in large letters in the lower half of the watch dial? Output the exact text as printed (e.g., ROLEX).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.1083}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 76, "image": "621387a6-d868-4912-90f1-7e8abd9df0c0_png_jpg.rf.a8276e972135e7eecb7d2d74936e608e.jpg", "expected": "15", "predicted": "15", "correct": true, "input_tokens": 1178, "output_tokens": 6, "elapsed_seconds": 2.786089958040975, "metadata": {"question": "What number is visible in the small date window near the upper-left edge of the blue dial? Format the answer as a continuous sequence of digits (e.g., 24).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8843}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 77, "image": "0e9ddffb-4d1d-4c64-bfce-3e518dd1c8ae_input-input-1779391692177-bujnsi4tk_png_jpg.rf.36d93ac4b35d2ac11fcc66f37ebddb4b.jpg", "expected": "2 000111 111112", "predicted": "2 000111 111112", "correct": true, "input_tokens": 1144, "output_tokens": 19, "elapsed_seconds": 6.233003624947742, "metadata": {"question": "What is the sequence of digits printed directly alongside the barcode on the left side of the meter? Format the answer exactly as printed, including spaces.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.3579}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 78, "image": "9557f58e-ee73-4877-8bff-54aaa8bee062_input-input-1769507524173-1hzc9hfio_png_jpg.rf.a5376988f390a31b2c12912c07892281.jpg", "expected": "18", "predicted": "18", "correct": true, "input_tokens": 1174, "output_tokens": 6, "elapsed_seconds": 2.8723991670412943, "metadata": {"question": "What number is displayed clearly on the uppermost, flat face of the die? Output the answer as a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9299}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 79, "image": "f0c68933-64c5-49e6-8845-707afdc32a4e_input-input-1776058768062-tn8vkqrxk_png_jpg.rf.5d66532520dc17be0083a5fe2664c963.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1168, "output_tokens": 5, "elapsed_seconds": 7.35866737505421, "metadata": {"question": "What number is displayed in red on the digital indicator above the leftmost elevator doors? Output the exact digit (e.g., 5).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.4345}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 80, "image": "f0c68933-64c5-49e6-8845-707afdc32a4e_input-input-1776058768062-tn8vkqrxk_png_jpg.rf.5d66532520dc17be0083a5fe2664c963.jpg", "expected": "14", "predicted": "14", "correct": true, "input_tokens": 1176, "output_tokens": 6, "elapsed_seconds": 6.814611207926646, "metadata": {"question": "What floor is this scene on, based on any floor signage or indicators visible in the image? Format the answer as a continuous sequence of digits (e.g., 5).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.8896}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 81, "image": "4409ba1c-5b55-47e4-8fb3-ed245021d0bb_input-input-1776892569933-6scj88bzo_png_jpg.rf.c5d4d0e67097acc2dc0e5a026f4d5514.jpg", "expected": "NEXT", "predicted": "NEXT", "correct": true, "input_tokens": 1143, "output_tokens": 5, "elapsed_seconds": 2.537885917001404, "metadata": {"question": "What retailer name is printed in large letters near the left side of the receipt? Output the exact uppercase word (e.g., STORE).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.6096}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 82, "image": "4409ba1c-5b55-47e4-8fb3-ed245021d0bb_input-input-1776892569933-6scj88bzo_png_jpg.rf.c5d4d0e67097acc2dc0e5a026f4d5514.jpg", "expected": "0333 0055 512", "predicted": "0333 0055 512", "correct": true, "input_tokens": 1165, "output_tokens": 17, "elapsed_seconds": 4.523415667004883, "metadata": {"question": "What telephone number is printed on the line beginning with 'TEL' beneath 'London New Retail 0512'? Output the number exactly with spaces (e.g., 0123 4567 890).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.6007}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 83, "image": "4409ba1c-5b55-47e4-8fb3-ed245021d0bb_input-input-1776892569933-6scj88bzo_png_jpg.rf.c5d4d0e67097acc2dc0e5a026f4d5514.jpg", "expected": "14 Mar 2026", "predicted": "14 Mar 2026", "correct": true, "input_tokens": 1155, "output_tokens": 12, "elapsed_seconds": 3.403554833959788, "metadata": {"question": "What calendar date is printed on the timestamp line beneath the TEL line? Output the date exactly as printed without the weekday or time (e.g., 01 Jan 2026).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.4733}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 84, "image": "4409ba1c-5b55-47e4-8fb3-ed245021d0bb_input-input-1776892569933-6scj88bzo_png_jpg.rf.c5d4d0e67097acc2dc0e5a026f4d5514.jpg", "expected": "\u00a397.00", "predicted": "\u00a397.00", "correct": true, "input_tokens": 1156, "output_tokens": 10, "elapsed_seconds": 2.848933208035305, "metadata": {"question": "What total refund amount is printed next to 'TOTAL REFUNDED TO ACCOUNT' in the middle of the receipt? Format the answer exactly as a pound amount (e.g., \u00a3XX.XX).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9224}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 85, "image": "19f45907-d682-40cf-bb87-9133dc873871_input-input-1778506438615-gyarfruw4_png_jpg.rf.22e9fb7526b6b695a79118f2794a9ab3.jpg", "expected": "037156273", "predicted": "037156273", "correct": true, "input_tokens": 1191, "output_tokens": 13, "elapsed_seconds": 2.236805042019114, "metadata": {"question": "What is the serial number printed directly after \"S/N:\" at the top of the meter? Format the answer as a continuous sequence of digits.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.258}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 86, "image": "1a8ee468-d168-4cec-bf83-881ad2853ed9_png_jpg.rf.02ee8e87c0ee9b2581f17ccbdb8fa702.jpg", "expected": "NYKU3687780", "predicted": "NYKU3687780", "correct": true, "input_tokens": 1159, "output_tokens": 13, "elapsed_seconds": 3.114250458078459, "metadata": {"question": "What is the vertical container identification code printed on the far left of the blue container? Format the answer as a continuous sequence of letters and numbers without spaces (e.g., ABCD1234567).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1843}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 87, "image": "1a8ee468-d168-4cec-bf83-881ad2853ed9_png_jpg.rf.02ee8e87c0ee9b2581f17ccbdb8fa702.jpg", "expected": "22G1", "predicted": "22G1", "correct": true, "input_tokens": 1148, "output_tokens": 8, "elapsed_seconds": 3.1836238340474665, "metadata": {"question": "Which four-character code is printed vertically directly above the yellow height limit sign on the blue container? Output the code exactly as printed (e.g., ABCD).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.2506}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 88, "image": "ae20b44c-9be6-47a5-8002-2c417a2a2441_png_jpg.rf.d312136933cbfcb91483a2dfad0d53bd.jpg", "expected": "Sesame Seed", "predicted": "Sesame Seed", "correct": true, "input_tokens": 1165, "output_tokens": 7, "elapsed_seconds": 2.7369707920588553, "metadata": {"question": "What bold allergen name appears in the ingredients paragraph next to the word \"Paste\"? Output the text exactly as printed (e.g., Wheat).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7506}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 89, "image": "ae20b44c-9be6-47a5-8002-2c417a2a2441_png_jpg.rf.d312136933cbfcb91483a2dfad0d53bd.jpg", "expected": "Per 1/4 pot", "predicted": "Per 1/4 pot", "correct": true, "input_tokens": 1176, "output_tokens": 10, "elapsed_seconds": 2.387629665900022, "metadata": {"question": "Which nutrition table header is immediately to the right of \"Per 100g\" in the row beneath \"NUTRITION\"? Output the text exactly as printed (e.g., Per item).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.3988}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 90, "image": "0212eb3d-e4b1-4ef4-9204-e920654bf677_input-input-1778110710064-oqhw5zz8j_png_jpg.rf.014217c55a8b2da0df65b97e042ed090.jpg", "expected": "$44.99", "predicted": "$44.99", "correct": true, "input_tokens": 1158, "output_tokens": 10, "elapsed_seconds": 3.9211650830693543, "metadata": {"question": "What is the price displayed on the green \"Price Cut\" tag directly beneath the Four Roses Single Barrel on the top shelf? Format the answer exactly as a dollar amount (e.g., $XX.XX).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.0402}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 91, "image": "bab22192-40dc-46bd-b314-ea08adf480e4_input-input-1768993566899-f1f6n85t5_png_jpg.rf.e266ed38188402a2fd66c6ee3416a4f0.jpg", "expected": "250ml", "predicted": "250ml", "correct": true, "input_tokens": 1147, "output_tokens": 8, "elapsed_seconds": 2.644685000064783, "metadata": {"question": "What capacity text is printed beneath the Fisherbrand logo on the right beaker? Output exactly with no added space (e.g., 100ml).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7271}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 92, "image": "bab22192-40dc-46bd-b314-ea08adf480e4_input-input-1768993566899-f1f6n85t5_png_jpg.rf.e266ed38188402a2fd66c6ee3416a4f0.jpg", "expected": "150ml", "predicted": "150 ml", "correct": true, "input_tokens": 1156, "output_tokens": 8, "elapsed_seconds": 2.597006708965637, "metadata": {"question": "What is the liquid level in the leftmost beaker, as read from its printed measurement scale? Format the answer as a number followed by a space and ml (e.g., 100ml).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.6801}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 93, "image": "537aaf5f-ca39-4266-beec-32e4e9b2e3aa_png_jpg.rf.7a1f952bb873dc687f3b3f3d0dfe0301.jpg", "expected": "SLV3235L", "predicted": "SLV3235L", "correct": true, "input_tokens": 1167, "output_tokens": 11, "elapsed_seconds": 2.4125704169273376, "metadata": {"question": "What is the license plate number on the vehicle? Format the answer as a continuous sequence of uppercase letters and digits with no spaces (e.g., ABC1234).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.4182}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 94, "image": "39fe721b-44c4-4a0c-aeac-2897520dfa68_input-input-1781394102861-00bvuicbi_png_jpg.rf.363242f15c7e98f02eea7cb38d065c13.jpg", "expected": "205/60 R 16", "predicted": "205/60 R 16", "correct": true, "input_tokens": 1166, "output_tokens": 14, "elapsed_seconds": 3.562446334050037, "metadata": {"question": "What is the large alphanumeric tire size sequence printed on the right side of the sidewall? Output the exact text including spaces and slashes.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.6402}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 95, "image": "0e4e059a-dffb-4d94-8827-06ec9a325906_input-input-1780878352625-ut880vj94_png_jpg.rf.bfa6b203688cdd30b56b2d4a213fe38e.jpg", "expected": "Brixx", "predicted": "Brixx", "correct": true, "input_tokens": 1159, "output_tokens": 7, "elapsed_seconds": 2.7586353339720517, "metadata": {"question": "What restaurant name is printed at the top center of the receipt? Output the text exactly as printed (e.g., Pizzeria Uno).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7726}} +{"model": "gemini-4-argon", "effort": "low", "task": "extraction", "timestamp": "20261012_223726", "index": 96, "image": "0e4e059a-dffb-4d94-8827-06ec9a325906_input-input-1780878352625-ut880vj94_png_jpg.rf.bfa6b203688cdd30b56b2d4a213fe38e.jpg", "expected": "501 Meadowmont Village Circle", "predicted": "501 Meadowmont Village Circle", "correct": true, "input_tokens": 1164, "output_tokens": 11, "elapsed_seconds": 4.501146459020674, "metadata": {"question": "What street address is printed directly beneath the \"Brixx\" heading? Output the address exactly as printed (e.g., 123 Main Street).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.515}} diff --git a/results/identification_gemini-4-argon-eap_high_20261012_230959.jsonl b/results/identification_gemini-4-argon-eap_high_20261012_230959.jsonl deleted file mode 100644 index e527b76..0000000 --- a/results/identification_gemini-4-argon-eap_high_20261012_230959.jsonl +++ /dev/null @@ -1,32 +0,0 @@ -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_230959", "index": 0, "image": "3cd889b7-4626-47fe-af90-b98b2d5ffdfc_png_jpg.rf.5c5d4f21c762f72d90520cb6109cb09f.jpg", "expected": "THYRONORM 25 MCG", "predicted": "THYRONORM 25 MCG", "correct": true, "input_tokens": 1192, "output_tokens": 455, "elapsed_seconds": 6.485652250004932, "metadata": {"question": "Which medicine description is listed directly below \"TRAJENTA 5\" in the DESCRIPTION column? Output the exact text as printed in uppercase (e.g., THYRONORM 25 MCG).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.5583}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_230959", "index": 1, "image": "17d4ef5a-1a26-408b-be0a-58c1dafeac60_input-input-1770908217014-bcp37tuu1_png_jpg.rf.9cea7c7b2576ac1d69d590779d8503b7.jpg", "expected": "phone", "predicted": "phone", "correct": true, "input_tokens": 1146, "output_tokens": 1297, "elapsed_seconds": 18.147361667011864, "metadata": {"question": "What type of electronic device is located in the top left corner of the suitcase? Answer strictly with a single lowercase word (e.g., tablet).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 18.1719}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_230959", "index": 2, "image": "17d4ef5a-1a26-408b-be0a-58c1dafeac60_input-input-1770908217014-bcp37tuu1_png_jpg.rf.9cea7c7b2576ac1d69d590779d8503b7.jpg", "expected": "gun", "predicted": "gun", "correct": true, "input_tokens": 1144, "output_tokens": 401, "elapsed_seconds": 7.04368079197593, "metadata": {"question": "What type of weapon is located in the bottom left section of the bag? Answer strictly with a single lowercase word (e.g., knife).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.09}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_230959", "index": 3, "image": "4cf40711-7419-4961-8920-88715c8b601f_input-input-1777166096829-s1ov2lkxh_png_jpg.rf.34eac53cd89940a961da242f1505b83a.jpg", "expected": "yellow", "predicted": "yellow", "correct": true, "input_tokens": 1179, "output_tokens": 170, "elapsed_seconds": 4.588742124964483, "metadata": {"question": "What color is the long, rectangular plate with four studs located near the center of the scattered pieces? Answer strictly with the lowercase color name.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.6479}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_230959", "index": 4, "image": "4cf40711-7419-4961-8920-88715c8b601f_input-input-1777166096829-s1ov2lkxh_png_jpg.rf.34eac53cd89940a961da242f1505b83a.jpg", "expected": "lightsaber", "predicted": "lightsaber", "correct": true, "input_tokens": 1187, "output_tokens": 234, "elapsed_seconds": 6.801656916970387, "metadata": {"question": "Several weapons are scattered in the image. Which specific weapon distinctly belongs to a sci-fi setting rather than a medieval theme? Answer strictly with the common lowercase name of the item.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.8574}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_230959", "index": 5, "image": "10560d19-89be-46e5-9c67-5bcd6fbe63fa_input-input-1778794839979-nzi2gvpcw_png_jpg.rf.59aede2d1a7b1d753dab3e55af9bec36.jpg", "expected": "kPa", "predicted": "kPa", "correct": true, "input_tokens": 1180, "output_tokens": 290, "elapsed_seconds": 6.0444227090338245, "metadata": {"question": "Which unit of measurement is printed on the dial of the gauge positioned furthest to the right on the blue pipe? Output the exact text as printed.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.0931}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_230959", "index": 6, "image": "cc68304c-144a-4975-a93a-d8efa85db6ed_input-input-1769095484858-rohdg9mmc_png_jpg.rf.af1b26038a5e163c931dc4e983f53a56.jpg", "expected": "Yoplait", "predicted": "Yoplait", "correct": true, "input_tokens": 1169, "output_tokens": 213, "elapsed_seconds": 5.491928292089142, "metadata": {"question": "What brand name is printed on the yogurt labels? Output the exact text exactly as printed.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.5463}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_230959", "index": 7, "image": "c3f661e1-1ce5-4c6b-ba39-f052aa469ae2_input-input-1780892587755-2dtxi0at3_png_jpg.rf.20b39c22d4076f012a024e6dc30f9a9a.jpg", "expected": "pencil", "predicted": "pencil", "correct": true, "input_tokens": 1159, "output_tokens": 248, "elapsed_seconds": 4.792913666926324, "metadata": {"question": "What object is shown on the small brown edit button overlapping the circular profile photo? Answer strictly with a lowercase singular noun (e.g., camera).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.8133}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_230959", "index": 8, "image": "1478f318-0372-4bbb-bf28-6cab8c447a59_input-input-1771868885484-ua18hynnb_png_jpg.rf.4ad7f50638ebe01dc084da1b0f1ad471.jpg", "expected": "M&M's", "predicted": "M&M's", "correct": true, "input_tokens": 1146, "output_tokens": 530, "elapsed_seconds": 8.794318709056824, "metadata": {"question": "Which candy brand appears in two different flavor versions in the machine? Output the exact brand name as printed on the wrapper (e.g., Snickers).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.8628}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_230959", "index": 9, "image": "1478f318-0372-4bbb-bf28-6cab8c447a59_input-input-1771868885484-ua18hynnb_png_jpg.rf.4ad7f50638ebe01dc084da1b0f1ad471.jpg", "expected": "SNICKERS", "predicted": "M&M's", "correct": false, "input_tokens": 1149, "output_tokens": 938, "elapsed_seconds": 11.084572540945373, "metadata": {"question": "Which brand of candy has the most packages visible in the machine? Output the exact brand name as printed on the wrapper (e.g., M&M's).", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 11.1567}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_230959", "index": 10, "image": "1279aeec-75d6-46ab-89c1-69cb067d9aaf_input-input-1769306313178-lbvw9serc_png_jpg.rf.41361767492fa1a80e6afea73573cfe3.jpg", "expected": "bottom", "predicted": "bottom", "correct": true, "input_tokens": 1175, "output_tokens": 225, "elapsed_seconds": 5.004526042030193, "metadata": {"question": "Which of the three vertically stacked targets has an arrow stuck directly into its yellow center ring? Answer strictly with a positional word (e.g., top, middle, bottom).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.0319}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_230959", "index": 11, "image": "93441566-50c0-4bfb-9a31-437a2bc5e4f2_png_jpg.rf.76f710b9bae11e645b2e2f321c4c28c7.jpg", "expected": "Sanji", "predicted": "Sanji", "correct": true, "input_tokens": 1189, "output_tokens": 183, "elapsed_seconds": 3.6688862920273095, "metadata": {"question": "What is the large white text printed directly below the word \"CHARACTER\" at the bottom of the card? Output the exact text as printed (e.g., \"Luffy\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.6852}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_230959", "index": 12, "image": "097f7d52-0fd1-4385-9ec4-65a9ee83d81b_input-input-1776852419339-bqf3nz0wx_png_jpg.rf.40fa273eb7f690671e9c0e59d85e7be5.jpg", "expected": "black", "predicted": "black", "correct": true, "input_tokens": 1164, "output_tokens": 267, "elapsed_seconds": 6.9902874999679625, "metadata": {"question": "What color is the vehicle parked immediately to the left of the bright green car? Answer strictly with the lowercase color name.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.0927}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_230959", "index": 13, "image": "25e6ed9c-2d37-4533-8021-977770aa97d1_input-input-1780691294811-oql9y0w9f_png_jpg.rf.c641fe7967e345c1802f26f48ff5ec25.jpg", "expected": "blue", "predicted": "blue", "correct": true, "input_tokens": 1182, "output_tokens": 242, "elapsed_seconds": 4.378482999978587, "metadata": {"question": "What is the primary color of the gas cylinders that occupy the majority of the truck bed? Answer strictly with the lowercase word 'blue' or 'green'.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.43}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_230959", "index": 14, "image": "7073c8ac-b9a8-4916-a976-5097055bd4a2_input-input-1772183761136-f7du2lnk9_png_jpg.rf.a437e0bf4a8959fdd8424bec09d3f864.jpg", "expected": "4C", "predicted": "4C", "correct": true, "input_tokens": 1144, "output_tokens": 215, "elapsed_seconds": 4.981352625065483, "metadata": {"question": "What US size is printed on the white shoe label on the tongue? Output the size exactly as printed (e.g., 7Y).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.1036}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_230959", "index": 15, "image": "e060bfb7-df44-43fd-83e7-fd09ac632863_png_jpg.rf.f9d7b657fbf6487e431e4598bc34eb01.jpg", "expected": "Quatemberkinder", "predicted": "Quatemberkinder", "correct": true, "input_tokens": 1159, "output_tokens": 575, "elapsed_seconds": 7.791330541949719, "metadata": {"question": "What is the title of the book located directly to the left of the black-spined book \"THE GLASS CASTLE\"? Output the title exactly as printed on the spine (e.g., \"The Great Gatsby\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.8621}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_230959", "index": 16, "image": "1f2fe1d2-a6a6-4e60-a8e9-5a44e686ea1f_input-input-1779734721670-w5z71vx1i_png_jpg.rf.c777ed0d816ef9faedc3eb7e1f521d5a.jpg", "expected": "Puffs", "predicted": "Puffs", "correct": true, "input_tokens": 1171, "output_tokens": 507, "elapsed_seconds": 7.322241583024152, "metadata": {"question": "Which brand's box is located closest to the bottom edge of the black table? Output the brand name exactly as printed on the box.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.3928}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_230959", "index": 17, "image": "0212eb3d-e4b1-4ef4-9204-e920654bf677_input-input-1778110710064-oqhw5zz8j_png_jpg.rf.d60dbb42e49e957743af859ee42767f0.jpg", "expected": "Seagram's", "predicted": "Seagram's", "correct": true, "input_tokens": 1149, "output_tokens": 436, "elapsed_seconds": 7.111819874960929, "metadata": {"question": "Which brand of liquor is located directly to the left of the bright orange Glenmorangie box? Output the exact text found on the bottle's main upper label.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.2306}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_230959", "index": 18, "image": "2e15743f-6bc8-4cce-8ec0-66eea3a6ca2f_input-input-1779607392296-qwxxnltdb_png_jpg.rf.cb1d3d6cd6b04ff35f30afcd26ec0a54.jpg", "expected": "Tuc", "predicted": "Tuc", "correct": true, "input_tokens": 1189, "output_tokens": 888, "elapsed_seconds": 14.258150542038493, "metadata": {"question": "Which brand of snack is located directly to the right of the Fiorentini package on the far left of the third row? Output the exact text found on the main label.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 14.2933}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_230959", "index": 19, "image": "1710a83d-1506-464e-83bf-f015141f1c37_input-input-1779171626146-78hoa3cju_png_jpg.rf.d99746d7404eb8a4900f9f714f0dbb68.jpg", "expected": "Appointment", "predicted": "Appointment", "correct": true, "input_tokens": 1177, "output_tokens": 417, "elapsed_seconds": 6.7954908340470865, "metadata": {"question": "Which step in the horizontal progress tracker near the top of the page is currently active and marked with a filled blue circle? Output the exact text label of the active step.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.8097}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_230959", "index": 20, "image": "1710a83d-1506-464e-83bf-f015141f1c37_input-input-1779171626146-78hoa3cju_png_jpg.rf.d99746d7404eb8a4900f9f714f0dbb68.jpg", "expected": "blue", "predicted": "blue", "correct": true, "input_tokens": 1174, "output_tokens": 127, "elapsed_seconds": 3.342818084056489, "metadata": {"question": "What color is the background of the \"Continue\" button located at the bottom right corner of the interface? Answer strictly with the lowercase name of the color.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.357}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_230959", "index": 21, "image": "20c6f561-491b-44ca-a96a-8f6d926b8307_png_jpg.rf.d7a585c3f57932b5a082de3f1a393832.jpg", "expected": "green", "predicted": "green", "correct": true, "input_tokens": 1148, "output_tokens": 274, "elapsed_seconds": 5.051410457934253, "metadata": {"question": "What color is the illuminated circular button on the metal control panel at the top center? Answer strictly with the lowercase color name (e.g., yellow).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.0874}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_230959", "index": 22, "image": "ae20b44c-9be6-47a5-8002-2c417a2a2441_png_jpg.rf.831df5c9ebce5644f8482c403e349df4.jpg", "expected": "clockwise", "predicted": "clockwise", "correct": true, "input_tokens": 1168, "output_tokens": 433, "elapsed_seconds": 6.352827042108402, "metadata": {"question": "In which direction does the circular arrow inside the green \"SLEEVE\" recycling icon rotate? Answer strictly with a single lowercase word (e.g., clockwise).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.363}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_230959", "index": 23, "image": "94f3adfa-0184-4872-8eb9-9f24e1a81a95_png_jpg.rf.e61cbf03dfc0c1c01510c48e93cdb983.jpg", "expected": "BOSS", "predicted": "BOSS", "correct": true, "input_tokens": 1182, "output_tokens": 177, "elapsed_seconds": 4.3935609590262175, "metadata": {"question": "What is the sponsor name printed in white on the left side mirror winglet? Output the exact text as printed (e.g., \"ROLEX\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.4393}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_230959", "index": 24, "image": "94f3adfa-0184-4872-8eb9-9f24e1a81a95_png_jpg.rf.e61cbf03dfc0c1c01510c48e93cdb983.jpg", "expected": "LECLERC", "predicted": "LECLERC", "correct": true, "input_tokens": 1189, "output_tokens": 277, "elapsed_seconds": 6.146811457932927, "metadata": {"question": "Which driver's name is displayed in the timing panel directly to the right of Hamilton's panel? Output the exact name as printed (e.g., \"VERSTAPPEN\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.1926}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_230959", "index": 25, "image": "1b427858-f42b-4083-a3c7-09695ea0f3de_png_jpg.rf.4c978aae775eb6005121e9fdaf79a4c1.jpg", "expected": "E70-21-27-03-001", "predicted": "E70-21-27-03-001", "correct": true, "input_tokens": 1204, "output_tokens": 260, "elapsed_seconds": 4.526672416017391, "metadata": {"question": "Which E/C code is associated with the description \"FORWARD CARGO COMPARTMENT CHECK VALVE - OPERATIONAL TEST\" in the bottom section? Output the exact code as printed (e.g., E70-XX-XX-XX-XX).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.5448}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_230959", "index": 26, "image": "acc53733-7609-4a88-9125-d9671368e31c_png_jpg.rf.12c7cc10f331789e9443ed17a5069e81.jpg", "expected": "yellow", "predicted": "yellow", "correct": true, "input_tokens": 1188, "output_tokens": 294, "elapsed_seconds": 4.868101416039281, "metadata": {"question": "What color is the letter \"M\" displayed in the column to the right of the lap times on the leaderboard? Answer strictly with the lowercase color name (e.g., blue).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.9089}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_230959", "index": 27, "image": "0f07f712-f1ce-4b90-963e-7849862d827d_input-input-1779919148318-fedk52cp8_png_jpg.rf.4ca482cc2aba45b411de65cad76253e2.jpg", "expected": "red", "predicted": "red", "correct": true, "input_tokens": 1176, "output_tokens": 351, "elapsed_seconds": 5.549750500009395, "metadata": {"question": "What color is the rectangular brick located directly below the green 2x4 brick? Answer strictly with the lowercase color name.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.5824}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_230959", "index": 28, "image": "3250b041-2ce2-4500-a99d-6f95f5536be5_input-input-1779670032347-3m1xayuws_png_jpg.rf.95a4592009a0c672498005632e81c9d5.jpg", "expected": "checkered flag", "predicted": "Checkered flag", "correct": true, "input_tokens": 1153, "output_tokens": 213, "elapsed_seconds": 5.030206416966394, "metadata": {"question": " What specific racing-related object is depicted in the logo directly above the large number \"17\" on the tire? Answer with a short descriptive phrase.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.1008}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_230959", "index": 29, "image": "1a2826ae-6b4f-402d-871c-c99feec8673f_input-input-1773615096287-0i6s4vldj_png_jpg.rf.8ab2ade21a5b6f6dee2307de719eb877.jpg", "expected": "Enable two-factor authentication (2FA)", "predicted": "Enable two-factor authentication (2FA)", "correct": true, "input_tokens": 1184, "output_tokens": 174, "elapsed_seconds": 3.2652038329979405, "metadata": {"question": "What is the main heading centered above the progress indicator at the top of the screen? Output the text exactly as printed (e.g., Account Settings).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.2842}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_230959", "index": 30, "image": "bab22192-40dc-46bd-b314-ea08adf480e4_input-input-1768993566899-f1f6n85t5_png_jpg.rf.57bf3349d30203ce44bff8a502abf964.jpg", "expected": "Fisherbrand", "predicted": "Fisherbrand", "correct": true, "input_tokens": 1143, "output_tokens": 94, "elapsed_seconds": 3.409070207970217, "metadata": {"question": "What brand name is printed in large white text on the rightmost beaker? Output the text exactly as printed (e.g., Pyrex).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.4871}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_230959", "index": 31, "image": "4f2b6aab-f1c1-4f16-b3ca-bbe4d399a897_input-input-1773381300920-0uaf4zno9_png_jpg.rf.cafad4b6eb9a3ec94667457e32e8b7f5.jpg", "expected": "strawberry", "predicted": "strawberry", "correct": true, "input_tokens": 1188, "output_tokens": 181, "elapsed_seconds": 5.044741332996637, "metadata": {"question": "What specific type of red fruit is present in both the loose rectangular metal container on the left and inside the small white portion bowls? Answer strictly with the lowercase singular name of the fruit.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.096}} diff --git a/results/identification_gemini-4-argon-eap_high_20261012_231035.jsonl b/results/identification_gemini-4-argon-eap_high_20261012_231035.jsonl deleted file mode 100644 index 43f05bc..0000000 --- a/results/identification_gemini-4-argon-eap_high_20261012_231035.jsonl +++ /dev/null @@ -1,32 +0,0 @@ -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_231035", "index": 0, "image": "3cd889b7-4626-47fe-af90-b98b2d5ffdfc_png_jpg.rf.5c5d4f21c762f72d90520cb6109cb09f.jpg", "expected": "THYRONORM 25 MCG", "predicted": "THYRONORM 25 MCG", "correct": true, "input_tokens": 1192, "output_tokens": 390, "elapsed_seconds": 6.239042958011851, "metadata": {"question": "Which medicine description is listed directly below \"TRAJENTA 5\" in the DESCRIPTION column? Output the exact text as printed in uppercase (e.g., THYRONORM 25 MCG).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.311}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_231035", "index": 1, "image": "17d4ef5a-1a26-408b-be0a-58c1dafeac60_input-input-1770908217014-bcp37tuu1_png_jpg.rf.9cea7c7b2576ac1d69d590779d8503b7.jpg", "expected": "phone", "predicted": "phone", "correct": true, "input_tokens": 1146, "output_tokens": 1022, "elapsed_seconds": 16.80476120801177, "metadata": {"question": "What type of electronic device is located in the top left corner of the suitcase? Answer strictly with a single lowercase word (e.g., tablet).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 16.8278}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_231035", "index": 2, "image": "17d4ef5a-1a26-408b-be0a-58c1dafeac60_input-input-1770908217014-bcp37tuu1_png_jpg.rf.9cea7c7b2576ac1d69d590779d8503b7.jpg", "expected": "gun", "predicted": "gun", "correct": true, "input_tokens": 1144, "output_tokens": 270, "elapsed_seconds": 4.326149374945089, "metadata": {"question": "What type of weapon is located in the bottom left section of the bag? Answer strictly with a single lowercase word (e.g., knife).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.3468}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_231035", "index": 3, "image": "4cf40711-7419-4961-8920-88715c8b601f_input-input-1777166096829-s1ov2lkxh_png_jpg.rf.34eac53cd89940a961da242f1505b83a.jpg", "expected": "yellow", "predicted": "yellow", "correct": true, "input_tokens": 1179, "output_tokens": 245, "elapsed_seconds": 5.535471250070259, "metadata": {"question": "What color is the long, rectangular plate with four studs located near the center of the scattered pieces? Answer strictly with the lowercase color name.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.5889}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_231035", "index": 4, "image": "4cf40711-7419-4961-8920-88715c8b601f_input-input-1777166096829-s1ov2lkxh_png_jpg.rf.34eac53cd89940a961da242f1505b83a.jpg", "expected": "lightsaber", "predicted": "lightsaber", "correct": true, "input_tokens": 1187, "output_tokens": 221, "elapsed_seconds": 5.559056625002995, "metadata": {"question": "Several weapons are scattered in the image. Which specific weapon distinctly belongs to a sci-fi setting rather than a medieval theme? Answer strictly with the common lowercase name of the item.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.6136}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_231035", "index": 5, "image": "10560d19-89be-46e5-9c67-5bcd6fbe63fa_input-input-1778794839979-nzi2gvpcw_png_jpg.rf.59aede2d1a7b1d753dab3e55af9bec36.jpg", "expected": "kPa", "predicted": "kPa", "correct": true, "input_tokens": 1180, "output_tokens": 293, "elapsed_seconds": 5.434877458028495, "metadata": {"question": "Which unit of measurement is printed on the dial of the gauge positioned furthest to the right on the blue pipe? Output the exact text as printed.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.4814}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_231035", "index": 6, "image": "cc68304c-144a-4975-a93a-d8efa85db6ed_input-input-1769095484858-rohdg9mmc_png_jpg.rf.af1b26038a5e163c931dc4e983f53a56.jpg", "expected": "Yoplait", "predicted": "Yoplait", "correct": true, "input_tokens": 1169, "output_tokens": 314, "elapsed_seconds": 6.077510082977824, "metadata": {"question": "What brand name is printed on the yogurt labels? Output the exact text exactly as printed.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.1334}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_231035", "index": 7, "image": "c3f661e1-1ce5-4c6b-ba39-f052aa469ae2_input-input-1780892587755-2dtxi0at3_png_jpg.rf.20b39c22d4076f012a024e6dc30f9a9a.jpg", "expected": "pencil", "predicted": "pencil", "correct": true, "input_tokens": 1159, "output_tokens": 183, "elapsed_seconds": 3.752715792041272, "metadata": {"question": "What object is shown on the small brown edit button overlapping the circular profile photo? Answer strictly with a lowercase singular noun (e.g., camera).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.7691}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_231035", "index": 8, "image": "1478f318-0372-4bbb-bf28-6cab8c447a59_input-input-1771868885484-ua18hynnb_png_jpg.rf.4ad7f50638ebe01dc084da1b0f1ad471.jpg", "expected": "M&M's", "predicted": "M&M's", "correct": true, "input_tokens": 1146, "output_tokens": 502, "elapsed_seconds": 7.56101854192093, "metadata": {"question": "Which candy brand appears in two different flavor versions in the machine? Output the exact brand name as printed on the wrapper (e.g., Snickers).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.6294}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_231035", "index": 9, "image": "1478f318-0372-4bbb-bf28-6cab8c447a59_input-input-1771868885484-ua18hynnb_png_jpg.rf.4ad7f50638ebe01dc084da1b0f1ad471.jpg", "expected": "SNICKERS", "predicted": "M&M's", "correct": false, "input_tokens": 1149, "output_tokens": 935, "elapsed_seconds": 11.989975249976851, "metadata": {"question": "Which brand of candy has the most packages visible in the machine? Output the exact brand name as printed on the wrapper (e.g., M&M's).", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 12.0583}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_231035", "index": 10, "image": "1279aeec-75d6-46ab-89c1-69cb067d9aaf_input-input-1769306313178-lbvw9serc_png_jpg.rf.41361767492fa1a80e6afea73573cfe3.jpg", "expected": "bottom", "predicted": "bottom", "correct": true, "input_tokens": 1175, "output_tokens": 218, "elapsed_seconds": 4.302315083914436, "metadata": {"question": "Which of the three vertically stacked targets has an arrow stuck directly into its yellow center ring? Answer strictly with a positional word (e.g., top, middle, bottom).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.3292}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_231035", "index": 11, "image": "93441566-50c0-4bfb-9a31-437a2bc5e4f2_png_jpg.rf.76f710b9bae11e645b2e2f321c4c28c7.jpg", "expected": "Sanji", "predicted": "Sanji", "correct": true, "input_tokens": 1189, "output_tokens": 164, "elapsed_seconds": 3.6864744171034545, "metadata": {"question": "What is the large white text printed directly below the word \"CHARACTER\" at the bottom of the card? Output the exact text as printed (e.g., \"Luffy\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.6995}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_231035", "index": 12, "image": "097f7d52-0fd1-4385-9ec4-65a9ee83d81b_input-input-1776852419339-bqf3nz0wx_png_jpg.rf.40fa273eb7f690671e9c0e59d85e7be5.jpg", "expected": "black", "predicted": "black", "correct": true, "input_tokens": 1164, "output_tokens": 182, "elapsed_seconds": 5.429169083945453, "metadata": {"question": "What color is the vehicle parked immediately to the left of the bright green car? Answer strictly with the lowercase color name.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.5302}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_231035", "index": 13, "image": "25e6ed9c-2d37-4533-8021-977770aa97d1_input-input-1780691294811-oql9y0w9f_png_jpg.rf.c641fe7967e345c1802f26f48ff5ec25.jpg", "expected": "blue", "predicted": "blue", "correct": true, "input_tokens": 1182, "output_tokens": 234, "elapsed_seconds": 4.631582833011635, "metadata": {"question": "What is the primary color of the gas cylinders that occupy the majority of the truck bed? Answer strictly with the lowercase word 'blue' or 'green'.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.6815}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_231035", "index": 14, "image": "7073c8ac-b9a8-4916-a976-5097055bd4a2_input-input-1772183761136-f7du2lnk9_png_jpg.rf.a437e0bf4a8959fdd8424bec09d3f864.jpg", "expected": "4C", "predicted": "4C", "correct": true, "input_tokens": 1144, "output_tokens": 160, "elapsed_seconds": 4.511515207937919, "metadata": {"question": "What US size is printed on the white shoe label on the tongue? Output the size exactly as printed (e.g., 7Y).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.6346}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_231035", "index": 15, "image": "e060bfb7-df44-43fd-83e7-fd09ac632863_png_jpg.rf.f9d7b657fbf6487e431e4598bc34eb01.jpg", "expected": "Quatemberkinder", "predicted": "Quatemberkinder", "correct": true, "input_tokens": 1159, "output_tokens": 434, "elapsed_seconds": 6.812919124960899, "metadata": {"question": "What is the title of the book located directly to the left of the black-spined book \"THE GLASS CASTLE\"? Output the title exactly as printed on the spine (e.g., \"The Great Gatsby\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.8834}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_231035", "index": 16, "image": "1f2fe1d2-a6a6-4e60-a8e9-5a44e686ea1f_input-input-1779734721670-w5z71vx1i_png_jpg.rf.c777ed0d816ef9faedc3eb7e1f521d5a.jpg", "expected": "Puffs", "predicted": "Puffs", "correct": true, "input_tokens": 1171, "output_tokens": 306, "elapsed_seconds": 6.088215749943629, "metadata": {"question": "Which brand's box is located closest to the bottom edge of the black table? Output the brand name exactly as printed on the box.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.1545}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_231035", "index": 17, "image": "0212eb3d-e4b1-4ef4-9204-e920654bf677_input-input-1778110710064-oqhw5zz8j_png_jpg.rf.d60dbb42e49e957743af859ee42767f0.jpg", "expected": "Seagram's", "predicted": "Seagram's", "correct": true, "input_tokens": 1149, "output_tokens": 476, "elapsed_seconds": 7.854011500021443, "metadata": {"question": "Which brand of liquor is located directly to the left of the bright orange Glenmorangie box? Output the exact text found on the bottle's main upper label.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.2557}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_231035", "index": 18, "image": "2e15743f-6bc8-4cce-8ec0-66eea3a6ca2f_input-input-1779607392296-qwxxnltdb_png_jpg.rf.cb1d3d6cd6b04ff35f30afcd26ec0a54.jpg", "expected": "Tuc", "predicted": "TUC", "correct": true, "input_tokens": 1189, "output_tokens": 336, "elapsed_seconds": 5.582389250048436, "metadata": {"question": "Which brand of snack is located directly to the right of the Fiorentini package on the far left of the third row? Output the exact text found on the main label.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.6181}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_231035", "index": 19, "image": "1710a83d-1506-464e-83bf-f015141f1c37_input-input-1779171626146-78hoa3cju_png_jpg.rf.d99746d7404eb8a4900f9f714f0dbb68.jpg", "expected": "Appointment", "predicted": "Appointment", "correct": true, "input_tokens": 1177, "output_tokens": 366, "elapsed_seconds": 6.307507290970534, "metadata": {"question": "Which step in the horizontal progress tracker near the top of the page is currently active and marked with a filled blue circle? Output the exact text label of the active step.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.3232}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_231035", "index": 20, "image": "1710a83d-1506-464e-83bf-f015141f1c37_input-input-1779171626146-78hoa3cju_png_jpg.rf.d99746d7404eb8a4900f9f714f0dbb68.jpg", "expected": "blue", "predicted": "blue", "correct": true, "input_tokens": 1174, "output_tokens": 138, "elapsed_seconds": 4.026430167024955, "metadata": {"question": "What color is the background of the \"Continue\" button located at the bottom right corner of the interface? Answer strictly with the lowercase name of the color.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.0407}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_231035", "index": 21, "image": "20c6f561-491b-44ca-a96a-8f6d926b8307_png_jpg.rf.d7a585c3f57932b5a082de3f1a393832.jpg", "expected": "green", "predicted": "green", "correct": true, "input_tokens": 1148, "output_tokens": 191, "elapsed_seconds": 4.200726583017968, "metadata": {"question": "What color is the illuminated circular button on the metal control panel at the top center? Answer strictly with the lowercase color name (e.g., yellow).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.2428}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_231035", "index": 22, "image": "ae20b44c-9be6-47a5-8002-2c417a2a2441_png_jpg.rf.831df5c9ebce5644f8482c403e349df4.jpg", "expected": "clockwise", "predicted": "clockwise", "correct": true, "input_tokens": 1168, "output_tokens": 235, "elapsed_seconds": 4.175076124956831, "metadata": {"question": "In which direction does the circular arrow inside the green \"SLEEVE\" recycling icon rotate? Answer strictly with a single lowercase word (e.g., clockwise).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.1855}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_231035", "index": 23, "image": "94f3adfa-0184-4872-8eb9-9f24e1a81a95_png_jpg.rf.e61cbf03dfc0c1c01510c48e93cdb983.jpg", "expected": "BOSS", "predicted": "BOSS", "correct": true, "input_tokens": 1182, "output_tokens": 200, "elapsed_seconds": 3.8381250830134377, "metadata": {"question": "What is the sponsor name printed in white on the left side mirror winglet? Output the exact text as printed (e.g., \"ROLEX\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.8891}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_231035", "index": 24, "image": "94f3adfa-0184-4872-8eb9-9f24e1a81a95_png_jpg.rf.e61cbf03dfc0c1c01510c48e93cdb983.jpg", "expected": "LECLERC", "predicted": "LECLERC", "correct": true, "input_tokens": 1189, "output_tokens": 285, "elapsed_seconds": 4.845970332971774, "metadata": {"question": "Which driver's name is displayed in the timing panel directly to the right of Hamilton's panel? Output the exact name as printed (e.g., \"VERSTAPPEN\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.8928}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_231035", "index": 25, "image": "1b427858-f42b-4083-a3c7-09695ea0f3de_png_jpg.rf.4c978aae775eb6005121e9fdaf79a4c1.jpg", "expected": "E70-21-27-03-001", "predicted": "E70-21-27-03-001", "correct": true, "input_tokens": 1204, "output_tokens": 408, "elapsed_seconds": 5.704120249953121, "metadata": {"question": "Which E/C code is associated with the description \"FORWARD CARGO COMPARTMENT CHECK VALVE - OPERATIONAL TEST\" in the bottom section? Output the exact code as printed (e.g., E70-XX-XX-XX-XX).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.7219}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_231035", "index": 26, "image": "acc53733-7609-4a88-9125-d9671368e31c_png_jpg.rf.12c7cc10f331789e9443ed17a5069e81.jpg", "expected": "yellow", "predicted": "yellow", "correct": true, "input_tokens": 1188, "output_tokens": 294, "elapsed_seconds": 5.966861041029915, "metadata": {"question": "What color is the letter \"M\" displayed in the column to the right of the lap times on the leaderboard? Answer strictly with the lowercase color name (e.g., blue).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.0087}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_231035", "index": 27, "image": "0f07f712-f1ce-4b90-963e-7849862d827d_input-input-1779919148318-fedk52cp8_png_jpg.rf.4ca482cc2aba45b411de65cad76253e2.jpg", "expected": "red", "predicted": "red", "correct": true, "input_tokens": 1176, "output_tokens": 318, "elapsed_seconds": 5.330217458074912, "metadata": {"question": "What color is the rectangular brick located directly below the green 2x4 brick? Answer strictly with the lowercase color name.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.3665}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_231035", "index": 28, "image": "3250b041-2ce2-4500-a99d-6f95f5536be5_input-input-1779670032347-3m1xayuws_png_jpg.rf.95a4592009a0c672498005632e81c9d5.jpg", "expected": "checkered flag", "predicted": "checkered flag", "correct": true, "input_tokens": 1153, "output_tokens": 163, "elapsed_seconds": 4.311210040934384, "metadata": {"question": " What specific racing-related object is depicted in the logo directly above the large number \"17\" on the tire? Answer with a short descriptive phrase.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.3812}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_231035", "index": 29, "image": "1a2826ae-6b4f-402d-871c-c99feec8673f_input-input-1773615096287-0i6s4vldj_png_jpg.rf.8ab2ade21a5b6f6dee2307de719eb877.jpg", "expected": "Enable two-factor authentication (2FA)", "predicted": "Enable two-factor authentication (2FA)", "correct": true, "input_tokens": 1184, "output_tokens": 110, "elapsed_seconds": 3.0109540830599144, "metadata": {"question": "What is the main heading centered above the progress indicator at the top of the screen? Output the text exactly as printed (e.g., Account Settings).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.0294}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_231035", "index": 30, "image": "bab22192-40dc-46bd-b314-ea08adf480e4_input-input-1768993566899-f1f6n85t5_png_jpg.rf.57bf3349d30203ce44bff8a502abf964.jpg", "expected": "Fisherbrand", "predicted": "Fisherbrand", "correct": true, "input_tokens": 1143, "output_tokens": 230, "elapsed_seconds": 4.94331870903261, "metadata": {"question": "What brand name is printed in large white text on the rightmost beaker? Output the text exactly as printed (e.g., Pyrex).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.0206}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_231035", "index": 31, "image": "4f2b6aab-f1c1-4f16-b3ca-bbe4d399a897_input-input-1773381300920-0uaf4zno9_png_jpg.rf.cafad4b6eb9a3ec94667457e32e8b7f5.jpg", "expected": "strawberry", "predicted": "strawberry", "correct": true, "input_tokens": 1188, "output_tokens": 179, "elapsed_seconds": 4.481096250005066, "metadata": {"question": "What specific type of red fruit is present in both the loose rectangular metal container on the left and inside the small white portion bowls? Answer strictly with the lowercase singular name of the fruit.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.5295}} diff --git a/results/identification_gemini-4-argon-eap_high_20261012_231059.jsonl b/results/identification_gemini-4-argon-eap_high_20261012_231059.jsonl deleted file mode 100644 index 93da22b..0000000 --- a/results/identification_gemini-4-argon-eap_high_20261012_231059.jsonl +++ /dev/null @@ -1,32 +0,0 @@ -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_231059", "index": 0, "image": "3cd889b7-4626-47fe-af90-b98b2d5ffdfc_png_jpg.rf.5c5d4f21c762f72d90520cb6109cb09f.jpg", "expected": "THYRONORM 25 MCG", "predicted": "THYRONORM 25 MCG", "correct": true, "input_tokens": 1192, "output_tokens": 393, "elapsed_seconds": 6.674183708964847, "metadata": {"question": "Which medicine description is listed directly below \"TRAJENTA 5\" in the DESCRIPTION column? Output the exact text as printed in uppercase (e.g., THYRONORM 25 MCG).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.7461}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_231059", "index": 1, "image": "17d4ef5a-1a26-408b-be0a-58c1dafeac60_input-input-1770908217014-bcp37tuu1_png_jpg.rf.9cea7c7b2576ac1d69d590779d8503b7.jpg", "expected": "phone", "predicted": "phone", "correct": true, "input_tokens": 1146, "output_tokens": 1091, "elapsed_seconds": 16.885117209050804, "metadata": {"question": "What type of electronic device is located in the top left corner of the suitcase? Answer strictly with a single lowercase word (e.g., tablet).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 16.9081}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_231059", "index": 2, "image": "17d4ef5a-1a26-408b-be0a-58c1dafeac60_input-input-1770908217014-bcp37tuu1_png_jpg.rf.9cea7c7b2576ac1d69d590779d8503b7.jpg", "expected": "gun", "predicted": "gun", "correct": true, "input_tokens": 1144, "output_tokens": 332, "elapsed_seconds": 5.485781041090377, "metadata": {"question": "What type of weapon is located in the bottom left section of the bag? Answer strictly with a single lowercase word (e.g., knife).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.5044}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_231059", "index": 3, "image": "4cf40711-7419-4961-8920-88715c8b601f_input-input-1777166096829-s1ov2lkxh_png_jpg.rf.34eac53cd89940a961da242f1505b83a.jpg", "expected": "yellow", "predicted": "yellow", "correct": true, "input_tokens": 1179, "output_tokens": 268, "elapsed_seconds": 4.447911208029836, "metadata": {"question": "What color is the long, rectangular plate with four studs located near the center of the scattered pieces? Answer strictly with the lowercase color name.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.5011}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_231059", "index": 4, "image": "4cf40711-7419-4961-8920-88715c8b601f_input-input-1777166096829-s1ov2lkxh_png_jpg.rf.34eac53cd89940a961da242f1505b83a.jpg", "expected": "lightsaber", "predicted": "lightsaber", "correct": true, "input_tokens": 1187, "output_tokens": 210, "elapsed_seconds": 4.3990703750168905, "metadata": {"question": "Several weapons are scattered in the image. Which specific weapon distinctly belongs to a sci-fi setting rather than a medieval theme? Answer strictly with the common lowercase name of the item.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.4527}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_231059", "index": 5, "image": "10560d19-89be-46e5-9c67-5bcd6fbe63fa_input-input-1778794839979-nzi2gvpcw_png_jpg.rf.59aede2d1a7b1d753dab3e55af9bec36.jpg", "expected": "kPa", "predicted": "kPa", "correct": true, "input_tokens": 1180, "output_tokens": 263, "elapsed_seconds": 4.643867208040319, "metadata": {"question": "Which unit of measurement is printed on the dial of the gauge positioned furthest to the right on the blue pipe? Output the exact text as printed.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.69}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_231059", "index": 6, "image": "cc68304c-144a-4975-a93a-d8efa85db6ed_input-input-1769095484858-rohdg9mmc_png_jpg.rf.af1b26038a5e163c931dc4e983f53a56.jpg", "expected": "Yoplait", "predicted": "Yoplait", "correct": true, "input_tokens": 1169, "output_tokens": 253, "elapsed_seconds": 5.184545791940764, "metadata": {"question": "What brand name is printed on the yogurt labels? Output the exact text exactly as printed.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.2389}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_231059", "index": 7, "image": "c3f661e1-1ce5-4c6b-ba39-f052aa469ae2_input-input-1780892587755-2dtxi0at3_png_jpg.rf.20b39c22d4076f012a024e6dc30f9a9a.jpg", "expected": "pencil", "predicted": "pencil", "correct": true, "input_tokens": 1159, "output_tokens": 256, "elapsed_seconds": 5.098049332969822, "metadata": {"question": "What object is shown on the small brown edit button overlapping the circular profile photo? Answer strictly with a lowercase singular noun (e.g., camera).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.1147}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_231059", "index": 8, "image": "1478f318-0372-4bbb-bf28-6cab8c447a59_input-input-1771868885484-ua18hynnb_png_jpg.rf.4ad7f50638ebe01dc084da1b0f1ad471.jpg", "expected": "M&M's", "predicted": "M&M's", "correct": true, "input_tokens": 1146, "output_tokens": 474, "elapsed_seconds": 7.101267500082031, "metadata": {"question": "Which candy brand appears in two different flavor versions in the machine? Output the exact brand name as printed on the wrapper (e.g., Snickers).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.1706}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_231059", "index": 9, "image": "1478f318-0372-4bbb-bf28-6cab8c447a59_input-input-1771868885484-ua18hynnb_png_jpg.rf.4ad7f50638ebe01dc084da1b0f1ad471.jpg", "expected": "SNICKERS", "predicted": "M&M's", "correct": false, "input_tokens": 1149, "output_tokens": 1088, "elapsed_seconds": 12.801644874969497, "metadata": {"question": "Which brand of candy has the most packages visible in the machine? Output the exact brand name as printed on the wrapper (e.g., M&M's).", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 12.8705}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_231059", "index": 10, "image": "1279aeec-75d6-46ab-89c1-69cb067d9aaf_input-input-1769306313178-lbvw9serc_png_jpg.rf.41361767492fa1a80e6afea73573cfe3.jpg", "expected": "bottom", "predicted": "bottom", "correct": true, "input_tokens": 1175, "output_tokens": 240, "elapsed_seconds": 4.996680708019994, "metadata": {"question": "Which of the three vertically stacked targets has an arrow stuck directly into its yellow center ring? Answer strictly with a positional word (e.g., top, middle, bottom).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.0238}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_231059", "index": 11, "image": "93441566-50c0-4bfb-9a31-437a2bc5e4f2_png_jpg.rf.76f710b9bae11e645b2e2f321c4c28c7.jpg", "expected": "Sanji", "predicted": "Sanji", "correct": true, "input_tokens": 1189, "output_tokens": 143, "elapsed_seconds": 3.541090000071563, "metadata": {"question": "What is the large white text printed directly below the word \"CHARACTER\" at the bottom of the card? Output the exact text as printed (e.g., \"Luffy\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.5573}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_231059", "index": 12, "image": "097f7d52-0fd1-4385-9ec4-65a9ee83d81b_input-input-1776852419339-bqf3nz0wx_png_jpg.rf.40fa273eb7f690671e9c0e59d85e7be5.jpg", "expected": "black", "predicted": "black", "correct": true, "input_tokens": 1164, "output_tokens": 603, "elapsed_seconds": 10.071595916058868, "metadata": {"question": "What color is the vehicle parked immediately to the left of the bright green car? Answer strictly with the lowercase color name.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.175}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_231059", "index": 13, "image": "25e6ed9c-2d37-4533-8021-977770aa97d1_input-input-1780691294811-oql9y0w9f_png_jpg.rf.c641fe7967e345c1802f26f48ff5ec25.jpg", "expected": "blue", "predicted": "blue", "correct": true, "input_tokens": 1182, "output_tokens": 241, "elapsed_seconds": 4.389514125068672, "metadata": {"question": "What is the primary color of the gas cylinders that occupy the majority of the truck bed? Answer strictly with the lowercase word 'blue' or 'green'.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.4416}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_231059", "index": 14, "image": "7073c8ac-b9a8-4916-a976-5097055bd4a2_input-input-1772183761136-f7du2lnk9_png_jpg.rf.a437e0bf4a8959fdd8424bec09d3f864.jpg", "expected": "4C", "predicted": "4C", "correct": true, "input_tokens": 1144, "output_tokens": 211, "elapsed_seconds": 5.604401582968421, "metadata": {"question": "What US size is printed on the white shoe label on the tongue? Output the size exactly as printed (e.g., 7Y).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.7286}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_231059", "index": 15, "image": "e060bfb7-df44-43fd-83e7-fd09ac632863_png_jpg.rf.f9d7b657fbf6487e431e4598bc34eb01.jpg", "expected": "Quatemberkinder", "predicted": "Quatemberkinder", "correct": true, "input_tokens": 1159, "output_tokens": 376, "elapsed_seconds": 6.153852957999334, "metadata": {"question": "What is the title of the book located directly to the left of the black-spined book \"THE GLASS CASTLE\"? Output the title exactly as printed on the spine (e.g., \"The Great Gatsby\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.2241}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_231059", "index": 16, "image": "1f2fe1d2-a6a6-4e60-a8e9-5a44e686ea1f_input-input-1779734721670-w5z71vx1i_png_jpg.rf.c777ed0d816ef9faedc3eb7e1f521d5a.jpg", "expected": "Puffs", "predicted": "Puffs", "correct": true, "input_tokens": 1171, "output_tokens": 553, "elapsed_seconds": 10.07464083400555, "metadata": {"question": "Which brand's box is located closest to the bottom edge of the black table? Output the brand name exactly as printed on the box.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.1443}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_231059", "index": 17, "image": "0212eb3d-e4b1-4ef4-9204-e920654bf677_input-input-1778110710064-oqhw5zz8j_png_jpg.rf.d60dbb42e49e957743af859ee42767f0.jpg", "expected": "Seagram's", "predicted": "Seagram's", "correct": true, "input_tokens": 1149, "output_tokens": 659, "elapsed_seconds": 9.223827500012703, "metadata": {"question": "Which brand of liquor is located directly to the left of the bright orange Glenmorangie box? Output the exact text found on the bottle's main upper label.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.3436}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_231059", "index": 18, "image": "2e15743f-6bc8-4cce-8ec0-66eea3a6ca2f_input-input-1779607392296-qwxxnltdb_png_jpg.rf.cb1d3d6cd6b04ff35f30afcd26ec0a54.jpg", "expected": "Tuc", "predicted": "TUC", "correct": true, "input_tokens": 1189, "output_tokens": 392, "elapsed_seconds": 6.862749958061613, "metadata": {"question": "Which brand of snack is located directly to the right of the Fiorentini package on the far left of the third row? Output the exact text found on the main label.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.8984}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_231059", "index": 19, "image": "1710a83d-1506-464e-83bf-f015141f1c37_input-input-1779171626146-78hoa3cju_png_jpg.rf.d99746d7404eb8a4900f9f714f0dbb68.jpg", "expected": "Appointment", "predicted": "Appointment", "correct": true, "input_tokens": 1177, "output_tokens": 329, "elapsed_seconds": 6.012572832987644, "metadata": {"question": "Which step in the horizontal progress tracker near the top of the page is currently active and marked with a filled blue circle? Output the exact text label of the active step.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.0266}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_231059", "index": 20, "image": "1710a83d-1506-464e-83bf-f015141f1c37_input-input-1779171626146-78hoa3cju_png_jpg.rf.d99746d7404eb8a4900f9f714f0dbb68.jpg", "expected": "blue", "predicted": "blue", "correct": true, "input_tokens": 1174, "output_tokens": 151, "elapsed_seconds": 3.175387041992508, "metadata": {"question": "What color is the background of the \"Continue\" button located at the bottom right corner of the interface? Answer strictly with the lowercase name of the color.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1895}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_231059", "index": 21, "image": "20c6f561-491b-44ca-a96a-8f6d926b8307_png_jpg.rf.d7a585c3f57932b5a082de3f1a393832.jpg", "expected": "green", "predicted": "green", "correct": true, "input_tokens": 1148, "output_tokens": 230, "elapsed_seconds": 4.837596875033341, "metadata": {"question": "What color is the illuminated circular button on the metal control panel at the top center? Answer strictly with the lowercase color name (e.g., yellow).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.8746}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_231059", "index": 22, "image": "ae20b44c-9be6-47a5-8002-2c417a2a2441_png_jpg.rf.831df5c9ebce5644f8482c403e349df4.jpg", "expected": "clockwise", "predicted": "clockwise", "correct": true, "input_tokens": 1168, "output_tokens": 230, "elapsed_seconds": 4.590364083996974, "metadata": {"question": "In which direction does the circular arrow inside the green \"SLEEVE\" recycling icon rotate? Answer strictly with a single lowercase word (e.g., clockwise).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.6007}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_231059", "index": 23, "image": "94f3adfa-0184-4872-8eb9-9f24e1a81a95_png_jpg.rf.e61cbf03dfc0c1c01510c48e93cdb983.jpg", "expected": "BOSS", "predicted": "BOSS", "correct": true, "input_tokens": 1182, "output_tokens": 161, "elapsed_seconds": 4.18887737498153, "metadata": {"question": "What is the sponsor name printed in white on the left side mirror winglet? Output the exact text as printed (e.g., \"ROLEX\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.2349}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_231059", "index": 24, "image": "94f3adfa-0184-4872-8eb9-9f24e1a81a95_png_jpg.rf.e61cbf03dfc0c1c01510c48e93cdb983.jpg", "expected": "LECLERC", "predicted": "LECLERC", "correct": true, "input_tokens": 1189, "output_tokens": 281, "elapsed_seconds": 5.091941124992445, "metadata": {"question": "Which driver's name is displayed in the timing panel directly to the right of Hamilton's panel? Output the exact name as printed (e.g., \"VERSTAPPEN\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.1408}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_231059", "index": 25, "image": "1b427858-f42b-4083-a3c7-09695ea0f3de_png_jpg.rf.4c978aae775eb6005121e9fdaf79a4c1.jpg", "expected": "E70-21-27-03-001", "predicted": "E70-21-27-03-001", "correct": true, "input_tokens": 1204, "output_tokens": 181, "elapsed_seconds": 14.072305875015445, "metadata": {"question": "Which E/C code is associated with the description \"FORWARD CARGO COMPARTMENT CHECK VALVE - OPERATIONAL TEST\" in the bottom section? Output the exact code as printed (e.g., E70-XX-XX-XX-XX).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 14.0911}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_231059", "index": 26, "image": "acc53733-7609-4a88-9125-d9671368e31c_png_jpg.rf.12c7cc10f331789e9443ed17a5069e81.jpg", "expected": "yellow", "predicted": "yellow", "correct": true, "input_tokens": 1188, "output_tokens": 284, "elapsed_seconds": 9.48637466703076, "metadata": {"question": "What color is the letter \"M\" displayed in the column to the right of the lap times on the leaderboard? Answer strictly with the lowercase color name (e.g., blue).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.5284}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_231059", "index": 27, "image": "0f07f712-f1ce-4b90-963e-7849862d827d_input-input-1779919148318-fedk52cp8_png_jpg.rf.4ca482cc2aba45b411de65cad76253e2.jpg", "expected": "red", "predicted": "red", "correct": true, "input_tokens": 1176, "output_tokens": 324, "elapsed_seconds": 4.908704416942783, "metadata": {"question": "What color is the rectangular brick located directly below the green 2x4 brick? Answer strictly with the lowercase color name.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.9426}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_231059", "index": 28, "image": "3250b041-2ce2-4500-a99d-6f95f5536be5_input-input-1779670032347-3m1xayuws_png_jpg.rf.95a4592009a0c672498005632e81c9d5.jpg", "expected": "checkered flag", "predicted": "Checkered flag", "correct": true, "input_tokens": 1153, "output_tokens": 182, "elapsed_seconds": 5.676658707903698, "metadata": {"question": " What specific racing-related object is depicted in the logo directly above the large number \"17\" on the tire? Answer with a short descriptive phrase.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.7469}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_231059", "index": 29, "image": "1a2826ae-6b4f-402d-871c-c99feec8673f_input-input-1773615096287-0i6s4vldj_png_jpg.rf.8ab2ade21a5b6f6dee2307de719eb877.jpg", "expected": "Enable two-factor authentication (2FA)", "predicted": "Enable two-factor authentication (2FA)", "correct": true, "input_tokens": 1184, "output_tokens": 136, "elapsed_seconds": 3.2390577079495415, "metadata": {"question": "What is the main heading centered above the progress indicator at the top of the screen? Output the text exactly as printed (e.g., Account Settings).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.2585}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_231059", "index": 30, "image": "bab22192-40dc-46bd-b314-ea08adf480e4_input-input-1768993566899-f1f6n85t5_png_jpg.rf.57bf3349d30203ce44bff8a502abf964.jpg", "expected": "Fisherbrand", "predicted": "Fisherbrand", "correct": true, "input_tokens": 1143, "output_tokens": 298, "elapsed_seconds": 6.012766125029884, "metadata": {"question": "What brand name is printed in large white text on the rightmost beaker? Output the text exactly as printed (e.g., Pyrex).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.0948}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "identification", "timestamp": "20261012_231059", "index": 31, "image": "4f2b6aab-f1c1-4f16-b3ca-bbe4d399a897_input-input-1773381300920-0uaf4zno9_png_jpg.rf.cafad4b6eb9a3ec94667457e32e8b7f5.jpg", "expected": "strawberry", "predicted": "strawberry", "correct": true, "input_tokens": 1188, "output_tokens": 202, "elapsed_seconds": 5.732485458953306, "metadata": {"question": "What specific type of red fruit is present in both the loose rectangular metal container on the left and inside the small white portion bowls? Answer strictly with the lowercase singular name of the fruit.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.7855}} diff --git a/results/identification_gemini-4-argon-eap_low_20261012_224142.jsonl b/results/identification_gemini-4-argon-eap_low_20261012_224142.jsonl deleted file mode 100644 index 976c47b..0000000 --- a/results/identification_gemini-4-argon-eap_low_20261012_224142.jsonl +++ /dev/null @@ -1,32 +0,0 @@ -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224142", "index": 0, "image": "3cd889b7-4626-47fe-af90-b98b2d5ffdfc_png_jpg.rf.5c5d4f21c762f72d90520cb6109cb09f.jpg", "expected": "THYRONORM 25 MCG", "predicted": "THYRONORM 25 MCG", "correct": true, "input_tokens": 1192, "output_tokens": 12, "elapsed_seconds": 4.060309124994092, "metadata": {"question": "Which medicine description is listed directly below \"TRAJENTA 5\" in the DESCRIPTION column? Output the exact text as printed in uppercase (e.g., THYRONORM 25 MCG).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.1339}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224142", "index": 1, "image": "17d4ef5a-1a26-408b-be0a-58c1dafeac60_input-input-1770908217014-bcp37tuu1_png_jpg.rf.9cea7c7b2576ac1d69d590779d8503b7.jpg", "expected": "phone", "predicted": "smartphone", "correct": true, "input_tokens": 1146, "output_tokens": 5, "elapsed_seconds": 2.8566654169699177, "metadata": {"question": "What type of electronic device is located in the top left corner of the suitcase? Answer strictly with a single lowercase word (e.g., tablet).", "strict_correct": false, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8804}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224142", "index": 2, "image": "17d4ef5a-1a26-408b-be0a-58c1dafeac60_input-input-1770908217014-bcp37tuu1_png_jpg.rf.9cea7c7b2576ac1d69d590779d8503b7.jpg", "expected": "gun", "predicted": "gun", "correct": true, "input_tokens": 1144, "output_tokens": 5, "elapsed_seconds": 3.6264210410881788, "metadata": {"question": "What type of weapon is located in the bottom left section of the bag? Answer strictly with a single lowercase word (e.g., knife).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.645}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224142", "index": 3, "image": "4cf40711-7419-4961-8920-88715c8b601f_input-input-1777166096829-s1ov2lkxh_png_jpg.rf.34eac53cd89940a961da242f1505b83a.jpg", "expected": "yellow", "predicted": "yellow", "correct": true, "input_tokens": 1179, "output_tokens": 5, "elapsed_seconds": 2.461889416910708, "metadata": {"question": "What color is the long, rectangular plate with four studs located near the center of the scattered pieces? Answer strictly with the lowercase color name.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.5177}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224142", "index": 4, "image": "4cf40711-7419-4961-8920-88715c8b601f_input-input-1777166096829-s1ov2lkxh_png_jpg.rf.34eac53cd89940a961da242f1505b83a.jpg", "expected": "lightsaber", "predicted": "lightsaber", "correct": true, "input_tokens": 1187, "output_tokens": 6, "elapsed_seconds": 3.0911378329619765, "metadata": {"question": "Several weapons are scattered in the image. Which specific weapon distinctly belongs to a sci-fi setting rather than a medieval theme? Answer strictly with the common lowercase name of the item.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1445}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224142", "index": 5, "image": "10560d19-89be-46e5-9c67-5bcd6fbe63fa_input-input-1778794839979-nzi2gvpcw_png_jpg.rf.59aede2d1a7b1d753dab3e55af9bec36.jpg", "expected": "kPa", "predicted": "kPa", "correct": true, "input_tokens": 1180, "output_tokens": 6, "elapsed_seconds": 2.6474397499114275, "metadata": {"question": "Which unit of measurement is printed on the dial of the gauge positioned furthest to the right on the blue pipe? Output the exact text as printed.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.6934}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224142", "index": 6, "image": "cc68304c-144a-4975-a93a-d8efa85db6ed_input-input-1769095484858-rohdg9mmc_png_jpg.rf.af1b26038a5e163c931dc4e983f53a56.jpg", "expected": "Yoplait", "predicted": "Yoplait", "correct": true, "input_tokens": 1169, "output_tokens": 7, "elapsed_seconds": 2.809174499940127, "metadata": {"question": "What brand name is printed on the yogurt labels? Output the exact text exactly as printed.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8682}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224142", "index": 7, "image": "c3f661e1-1ce5-4c6b-ba39-f052aa469ae2_input-input-1780892587755-2dtxi0at3_png_jpg.rf.20b39c22d4076f012a024e6dc30f9a9a.jpg", "expected": "pencil", "predicted": "pencil", "correct": true, "input_tokens": 1159, "output_tokens": 5, "elapsed_seconds": 3.2698078750399873, "metadata": {"question": "What object is shown on the small brown edit button overlapping the circular profile photo? Answer strictly with a lowercase singular noun (e.g., camera).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.2895}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224142", "index": 8, "image": "1478f318-0372-4bbb-bf28-6cab8c447a59_input-input-1771868885484-ua18hynnb_png_jpg.rf.4ad7f50638ebe01dc084da1b0f1ad471.jpg", "expected": "M&M's", "predicted": "M&M'S", "correct": true, "input_tokens": 1146, "output_tokens": 9, "elapsed_seconds": 3.1234977500280365, "metadata": {"question": "Which candy brand appears in two different flavor versions in the machine? Output the exact brand name as printed on the wrapper (e.g., Snickers).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1923}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224142", "index": 9, "image": "1478f318-0372-4bbb-bf28-6cab8c447a59_input-input-1771868885484-ua18hynnb_png_jpg.rf.4ad7f50638ebe01dc084da1b0f1ad471.jpg", "expected": "SNICKERS", "predicted": "M&M's", "correct": false, "input_tokens": 1149, "output_tokens": 9, "elapsed_seconds": 3.588535250048153, "metadata": {"question": "Which brand of candy has the most packages visible in the machine? Output the exact brand name as printed on the wrapper (e.g., M&M's).", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 3.6568}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224142", "index": 10, "image": "1279aeec-75d6-46ab-89c1-69cb067d9aaf_input-input-1769306313178-lbvw9serc_png_jpg.rf.41361767492fa1a80e6afea73573cfe3.jpg", "expected": "bottom", "predicted": "bottom", "correct": true, "input_tokens": 1175, "output_tokens": 5, "elapsed_seconds": 3.090133708086796, "metadata": {"question": "Which of the three vertically stacked targets has an arrow stuck directly into its yellow center ring? Answer strictly with a positional word (e.g., top, middle, bottom).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.117}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224142", "index": 11, "image": "93441566-50c0-4bfb-9a31-437a2bc5e4f2_png_jpg.rf.76f710b9bae11e645b2e2f321c4c28c7.jpg", "expected": "Sanji", "predicted": "Sanji", "correct": true, "input_tokens": 1189, "output_tokens": 6, "elapsed_seconds": 2.716562000103295, "metadata": {"question": "What is the large white text printed directly below the word \"CHARACTER\" at the bottom of the card? Output the exact text as printed (e.g., \"Luffy\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7334}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224142", "index": 12, "image": "097f7d52-0fd1-4385-9ec4-65a9ee83d81b_input-input-1776852419339-bqf3nz0wx_png_jpg.rf.40fa273eb7f690671e9c0e59d85e7be5.jpg", "expected": "black", "predicted": "black", "correct": true, "input_tokens": 1164, "output_tokens": 5, "elapsed_seconds": 3.679407999967225, "metadata": {"question": "What color is the vehicle parked immediately to the left of the bright green car? Answer strictly with the lowercase color name.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.7843}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224142", "index": 13, "image": "25e6ed9c-2d37-4533-8021-977770aa97d1_input-input-1780691294811-oql9y0w9f_png_jpg.rf.c641fe7967e345c1802f26f48ff5ec25.jpg", "expected": "blue", "predicted": "blue", "correct": true, "input_tokens": 1182, "output_tokens": 5, "elapsed_seconds": 2.7352181249298155, "metadata": {"question": "What is the primary color of the gas cylinders that occupy the majority of the truck bed? Answer strictly with the lowercase word 'blue' or 'green'.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.789}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224142", "index": 14, "image": "7073c8ac-b9a8-4916-a976-5097055bd4a2_input-input-1772183761136-f7du2lnk9_png_jpg.rf.a437e0bf4a8959fdd8424bec09d3f864.jpg", "expected": "4C", "predicted": "4C", "correct": true, "input_tokens": 1144, "output_tokens": 6, "elapsed_seconds": 4.434403749997728, "metadata": {"question": "What US size is printed on the white shoe label on the tongue? Output the size exactly as printed (e.g., 7Y).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.5593}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224142", "index": 15, "image": "e060bfb7-df44-43fd-83e7-fd09ac632863_png_jpg.rf.f9d7b657fbf6487e431e4598bc34eb01.jpg", "expected": "Quatemberkinder", "predicted": "Quatemberkinder", "correct": true, "input_tokens": 1159, "output_tokens": 9, "elapsed_seconds": 2.9831659159390256, "metadata": {"question": "What is the title of the book located directly to the left of the black-spined book \"THE GLASS CASTLE\"? Output the title exactly as printed on the spine (e.g., \"The Great Gatsby\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.0542}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224142", "index": 16, "image": "1f2fe1d2-a6a6-4e60-a8e9-5a44e686ea1f_input-input-1779734721670-w5z71vx1i_png_jpg.rf.c777ed0d816ef9faedc3eb7e1f521d5a.jpg", "expected": "Puffs", "predicted": "Puffs", "correct": true, "input_tokens": 1171, "output_tokens": 6, "elapsed_seconds": 2.935181667096913, "metadata": {"question": "Which brand's box is located closest to the bottom edge of the black table? Output the brand name exactly as printed on the box.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.004}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224142", "index": 17, "image": "0212eb3d-e4b1-4ef4-9204-e920654bf677_input-input-1778110710064-oqhw5zz8j_png_jpg.rf.d60dbb42e49e957743af859ee42767f0.jpg", "expected": "Seagram's", "predicted": "Seagram's 7", "correct": false, "input_tokens": 1149, "output_tokens": 10, "elapsed_seconds": 12.385986250010319, "metadata": {"question": "Which brand of liquor is located directly to the left of the bright orange Glenmorangie box? Output the exact text found on the bottle's main upper label.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 12.5072}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224142", "index": 18, "image": "2e15743f-6bc8-4cce-8ec0-66eea3a6ca2f_input-input-1779607392296-qwxxnltdb_png_jpg.rf.cb1d3d6cd6b04ff35f30afcd26ec0a54.jpg", "expected": "Tuc", "predicted": "TUC", "correct": true, "input_tokens": 1189, "output_tokens": 6, "elapsed_seconds": 2.21836437494494, "metadata": {"question": "Which brand of snack is located directly to the right of the Fiorentini package on the far left of the third row? Output the exact text found on the main label.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.2557}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224142", "index": 19, "image": "1710a83d-1506-464e-83bf-f015141f1c37_input-input-1779171626146-78hoa3cju_png_jpg.rf.d99746d7404eb8a4900f9f714f0dbb68.jpg", "expected": "Appointment", "predicted": "Appointment", "correct": true, "input_tokens": 1177, "output_tokens": 5, "elapsed_seconds": 2.76367229106836, "metadata": {"question": "Which step in the horizontal progress tracker near the top of the page is currently active and marked with a filled blue circle? Output the exact text label of the active step.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7792}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224142", "index": 20, "image": "1710a83d-1506-464e-83bf-f015141f1c37_input-input-1779171626146-78hoa3cju_png_jpg.rf.d99746d7404eb8a4900f9f714f0dbb68.jpg", "expected": "blue", "predicted": "blue", "correct": true, "input_tokens": 1174, "output_tokens": 5, "elapsed_seconds": 2.50934412505012, "metadata": {"question": "What color is the background of the \"Continue\" button located at the bottom right corner of the interface? Answer strictly with the lowercase name of the color.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.5259}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224142", "index": 21, "image": "20c6f561-491b-44ca-a96a-8f6d926b8307_png_jpg.rf.d7a585c3f57932b5a082de3f1a393832.jpg", "expected": "green", "predicted": "green", "correct": true, "input_tokens": 1148, "output_tokens": 5, "elapsed_seconds": 2.6650525419972837, "metadata": {"question": "What color is the illuminated circular button on the metal control panel at the top center? Answer strictly with the lowercase color name (e.g., yellow).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7015}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224142", "index": 22, "image": "ae20b44c-9be6-47a5-8002-2c417a2a2441_png_jpg.rf.831df5c9ebce5644f8482c403e349df4.jpg", "expected": "clockwise", "predicted": "clockwise", "correct": true, "input_tokens": 1168, "output_tokens": 5, "elapsed_seconds": 2.50499983294867, "metadata": {"question": "In which direction does the circular arrow inside the green \"SLEEVE\" recycling icon rotate? Answer strictly with a single lowercase word (e.g., clockwise).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.5153}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224142", "index": 23, "image": "94f3adfa-0184-4872-8eb9-9f24e1a81a95_png_jpg.rf.e61cbf03dfc0c1c01510c48e93cdb983.jpg", "expected": "BOSS", "predicted": "BOSS", "correct": true, "input_tokens": 1182, "output_tokens": 5, "elapsed_seconds": 3.3699135000351816, "metadata": {"question": "What is the sponsor name printed in white on the left side mirror winglet? Output the exact text as printed (e.g., \"ROLEX\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.4181}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224142", "index": 24, "image": "94f3adfa-0184-4872-8eb9-9f24e1a81a95_png_jpg.rf.e61cbf03dfc0c1c01510c48e93cdb983.jpg", "expected": "LECLERC", "predicted": "LECLERC", "correct": true, "input_tokens": 1189, "output_tokens": 7, "elapsed_seconds": 3.6761610829271376, "metadata": {"question": "Which driver's name is displayed in the timing panel directly to the right of Hamilton's panel? Output the exact name as printed (e.g., \"VERSTAPPEN\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.7257}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224142", "index": 25, "image": "1b427858-f42b-4083-a3c7-09695ea0f3de_png_jpg.rf.4c978aae775eb6005121e9fdaf79a4c1.jpg", "expected": "E70-21-27-03-001", "predicted": "E70-21-27-03-001", "correct": true, "input_tokens": 1204, "output_tokens": 20, "elapsed_seconds": 3.67761699995026, "metadata": {"question": "Which E/C code is associated with the description \"FORWARD CARGO COMPARTMENT CHECK VALVE - OPERATIONAL TEST\" in the bottom section? Output the exact code as printed (e.g., E70-XX-XX-XX-XX).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.6967}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224142", "index": 26, "image": "acc53733-7609-4a88-9125-d9671368e31c_png_jpg.rf.12c7cc10f331789e9443ed17a5069e81.jpg", "expected": "yellow", "predicted": "yellow", "correct": true, "input_tokens": 1188, "output_tokens": 5, "elapsed_seconds": 2.8208308749599382, "metadata": {"question": "What color is the letter \"M\" displayed in the column to the right of the lap times on the leaderboard? Answer strictly with the lowercase color name (e.g., blue).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9014}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224142", "index": 27, "image": "0f07f712-f1ce-4b90-963e-7849862d827d_input-input-1779919148318-fedk52cp8_png_jpg.rf.4ca482cc2aba45b411de65cad76253e2.jpg", "expected": "red", "predicted": "red", "correct": true, "input_tokens": 1176, "output_tokens": 5, "elapsed_seconds": 2.8700529999332502, "metadata": {"question": "What color is the rectangular brick located directly below the green 2x4 brick? Answer strictly with the lowercase color name.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9045}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224142", "index": 28, "image": "3250b041-2ce2-4500-a99d-6f95f5536be5_input-input-1779670032347-3m1xayuws_png_jpg.rf.95a4592009a0c672498005632e81c9d5.jpg", "expected": "checkered flag", "predicted": "A checkered flag", "correct": true, "input_tokens": 1153, "output_tokens": 7, "elapsed_seconds": 2.972119041951373, "metadata": {"question": " What specific racing-related object is depicted in the logo directly above the large number \"17\" on the tire? Answer with a short descriptive phrase.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.0445}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224142", "index": 29, "image": "1a2826ae-6b4f-402d-871c-c99feec8673f_input-input-1773615096287-0i6s4vldj_png_jpg.rf.8ab2ade21a5b6f6dee2307de719eb877.jpg", "expected": "Enable two-factor authentication (2FA)", "predicted": "Enable two-factor authentication (2FA)", "correct": true, "input_tokens": 1184, "output_tokens": 13, "elapsed_seconds": 3.0708073750138283, "metadata": {"question": "What is the main heading centered above the progress indicator at the top of the screen? Output the text exactly as printed (e.g., Account Settings).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.0907}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224142", "index": 30, "image": "bab22192-40dc-46bd-b314-ea08adf480e4_input-input-1768993566899-f1f6n85t5_png_jpg.rf.57bf3349d30203ce44bff8a502abf964.jpg", "expected": "Fisherbrand", "predicted": "Fisherbrand", "correct": true, "input_tokens": 1143, "output_tokens": 6, "elapsed_seconds": 4.822086542029865, "metadata": {"question": "What brand name is printed in large white text on the rightmost beaker? Output the text exactly as printed (e.g., Pyrex).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.9015}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224142", "index": 31, "image": "4f2b6aab-f1c1-4f16-b3ca-bbe4d399a897_input-input-1773381300920-0uaf4zno9_png_jpg.rf.cafad4b6eb9a3ec94667457e32e8b7f5.jpg", "expected": "strawberry", "predicted": "strawberry", "correct": true, "input_tokens": 1188, "output_tokens": 5, "elapsed_seconds": 2.909321125014685, "metadata": {"question": "What specific type of red fruit is present in both the loose rectangular metal container on the left and inside the small white portion bowls? Answer strictly with the lowercase singular name of the fruit.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9614}} diff --git a/results/identification_gemini-4-argon-eap_low_20261012_224146.jsonl b/results/identification_gemini-4-argon-eap_low_20261012_224146.jsonl deleted file mode 100644 index f4321b5..0000000 --- a/results/identification_gemini-4-argon-eap_low_20261012_224146.jsonl +++ /dev/null @@ -1,32 +0,0 @@ -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224146", "index": 0, "image": "3cd889b7-4626-47fe-af90-b98b2d5ffdfc_png_jpg.rf.5c5d4f21c762f72d90520cb6109cb09f.jpg", "expected": "THYRONORM 25 MCG", "predicted": "THYRONORM 25 MCG", "correct": true, "input_tokens": 1192, "output_tokens": 12, "elapsed_seconds": 3.522697874926962, "metadata": {"question": "Which medicine description is listed directly below \"TRAJENTA 5\" in the DESCRIPTION column? Output the exact text as printed in uppercase (e.g., THYRONORM 25 MCG).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.5969}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224146", "index": 1, "image": "17d4ef5a-1a26-408b-be0a-58c1dafeac60_input-input-1770908217014-bcp37tuu1_png_jpg.rf.9cea7c7b2576ac1d69d590779d8503b7.jpg", "expected": "phone", "predicted": "smartphone", "correct": true, "input_tokens": 1146, "output_tokens": 5, "elapsed_seconds": 2.6311159169999883, "metadata": {"question": "What type of electronic device is located in the top left corner of the suitcase? Answer strictly with a single lowercase word (e.g., tablet).", "strict_correct": false, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.6547}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224146", "index": 2, "image": "17d4ef5a-1a26-408b-be0a-58c1dafeac60_input-input-1770908217014-bcp37tuu1_png_jpg.rf.9cea7c7b2576ac1d69d590779d8503b7.jpg", "expected": "gun", "predicted": "gun", "correct": true, "input_tokens": 1144, "output_tokens": 5, "elapsed_seconds": 3.353384207934141, "metadata": {"question": "What type of weapon is located in the bottom left section of the bag? Answer strictly with a single lowercase word (e.g., knife).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.3724}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224146", "index": 3, "image": "4cf40711-7419-4961-8920-88715c8b601f_input-input-1777166096829-s1ov2lkxh_png_jpg.rf.34eac53cd89940a961da242f1505b83a.jpg", "expected": "yellow", "predicted": "yellow", "correct": true, "input_tokens": 1179, "output_tokens": 5, "elapsed_seconds": 2.628520334023051, "metadata": {"question": "What color is the long, rectangular plate with four studs located near the center of the scattered pieces? Answer strictly with the lowercase color name.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.6828}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224146", "index": 4, "image": "4cf40711-7419-4961-8920-88715c8b601f_input-input-1777166096829-s1ov2lkxh_png_jpg.rf.34eac53cd89940a961da242f1505b83a.jpg", "expected": "lightsaber", "predicted": "lightsaber", "correct": true, "input_tokens": 1187, "output_tokens": 6, "elapsed_seconds": 5.580475750030018, "metadata": {"question": "Several weapons are scattered in the image. Which specific weapon distinctly belongs to a sci-fi setting rather than a medieval theme? Answer strictly with the common lowercase name of the item.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.6379}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224146", "index": 5, "image": "10560d19-89be-46e5-9c67-5bcd6fbe63fa_input-input-1778794839979-nzi2gvpcw_png_jpg.rf.59aede2d1a7b1d753dab3e55af9bec36.jpg", "expected": "kPa", "predicted": "kPa", "correct": true, "input_tokens": 1180, "output_tokens": 6, "elapsed_seconds": 4.836349415942095, "metadata": {"question": "Which unit of measurement is printed on the dial of the gauge positioned furthest to the right on the blue pipe? Output the exact text as printed.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.883}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224146", "index": 6, "image": "cc68304c-144a-4975-a93a-d8efa85db6ed_input-input-1769095484858-rohdg9mmc_png_jpg.rf.af1b26038a5e163c931dc4e983f53a56.jpg", "expected": "Yoplait", "predicted": "Yoplait", "correct": true, "input_tokens": 1169, "output_tokens": 7, "elapsed_seconds": 3.2011847919784486, "metadata": {"question": "What brand name is printed on the yogurt labels? Output the exact text exactly as printed.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.2592}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224146", "index": 7, "image": "c3f661e1-1ce5-4c6b-ba39-f052aa469ae2_input-input-1780892587755-2dtxi0at3_png_jpg.rf.20b39c22d4076f012a024e6dc30f9a9a.jpg", "expected": "pencil", "predicted": "pencil", "correct": true, "input_tokens": 1159, "output_tokens": 5, "elapsed_seconds": 2.15688612498343, "metadata": {"question": "What object is shown on the small brown edit button overlapping the circular profile photo? Answer strictly with a lowercase singular noun (e.g., camera).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.1741}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224146", "index": 8, "image": "1478f318-0372-4bbb-bf28-6cab8c447a59_input-input-1771868885484-ua18hynnb_png_jpg.rf.4ad7f50638ebe01dc084da1b0f1ad471.jpg", "expected": "M&M's", "predicted": "M&M's", "correct": true, "input_tokens": 1146, "output_tokens": 9, "elapsed_seconds": 11.546287791104987, "metadata": {"question": "Which candy brand appears in two different flavor versions in the machine? Output the exact brand name as printed on the wrapper (e.g., Snickers).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.6151}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224146", "index": 9, "image": "1478f318-0372-4bbb-bf28-6cab8c447a59_input-input-1771868885484-ua18hynnb_png_jpg.rf.4ad7f50638ebe01dc084da1b0f1ad471.jpg", "expected": "SNICKERS", "predicted": "M&M's", "correct": false, "input_tokens": 1149, "output_tokens": 9, "elapsed_seconds": 4.725503416033462, "metadata": {"question": "Which brand of candy has the most packages visible in the machine? Output the exact brand name as printed on the wrapper (e.g., M&M's).", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 4.8045}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224146", "index": 10, "image": "1279aeec-75d6-46ab-89c1-69cb067d9aaf_input-input-1769306313178-lbvw9serc_png_jpg.rf.41361767492fa1a80e6afea73573cfe3.jpg", "expected": "bottom", "predicted": "bottom", "correct": true, "input_tokens": 1175, "output_tokens": 5, "elapsed_seconds": 3.5234517919598147, "metadata": {"question": "Which of the three vertically stacked targets has an arrow stuck directly into its yellow center ring? Answer strictly with a positional word (e.g., top, middle, bottom).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.5509}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224146", "index": 11, "image": "93441566-50c0-4bfb-9a31-437a2bc5e4f2_png_jpg.rf.76f710b9bae11e645b2e2f321c4c28c7.jpg", "expected": "Sanji", "predicted": "Sanji", "correct": true, "input_tokens": 1189, "output_tokens": 6, "elapsed_seconds": 2.240318417083472, "metadata": {"question": "What is the large white text printed directly below the word \"CHARACTER\" at the bottom of the card? Output the exact text as printed (e.g., \"Luffy\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.2534}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224146", "index": 12, "image": "097f7d52-0fd1-4385-9ec4-65a9ee83d81b_input-input-1776852419339-bqf3nz0wx_png_jpg.rf.40fa273eb7f690671e9c0e59d85e7be5.jpg", "expected": "black", "predicted": "black", "correct": true, "input_tokens": 1164, "output_tokens": 5, "elapsed_seconds": 4.683880666969344, "metadata": {"question": "What color is the vehicle parked immediately to the left of the bright green car? Answer strictly with the lowercase color name.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.7864}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224146", "index": 13, "image": "25e6ed9c-2d37-4533-8021-977770aa97d1_input-input-1780691294811-oql9y0w9f_png_jpg.rf.c641fe7967e345c1802f26f48ff5ec25.jpg", "expected": "blue", "predicted": "blue", "correct": true, "input_tokens": 1182, "output_tokens": 5, "elapsed_seconds": 3.0088959169806913, "metadata": {"question": "What is the primary color of the gas cylinders that occupy the majority of the truck bed? Answer strictly with the lowercase word 'blue' or 'green'.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.0609}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224146", "index": 14, "image": "7073c8ac-b9a8-4916-a976-5097055bd4a2_input-input-1772183761136-f7du2lnk9_png_jpg.rf.a437e0bf4a8959fdd8424bec09d3f864.jpg", "expected": "4C", "predicted": "4C", "correct": true, "input_tokens": 1144, "output_tokens": 6, "elapsed_seconds": 13.207312542013824, "metadata": {"question": "What US size is printed on the white shoe label on the tongue? Output the size exactly as printed (e.g., 7Y).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 13.3325}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224146", "index": 15, "image": "e060bfb7-df44-43fd-83e7-fd09ac632863_png_jpg.rf.f9d7b657fbf6487e431e4598bc34eb01.jpg", "expected": "Quatemberkinder", "predicted": "Quatemberkinder", "correct": true, "input_tokens": 1159, "output_tokens": 9, "elapsed_seconds": 3.991515792091377, "metadata": {"question": "What is the title of the book located directly to the left of the black-spined book \"THE GLASS CASTLE\"? Output the title exactly as printed on the spine (e.g., \"The Great Gatsby\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.0633}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224146", "index": 16, "image": "1f2fe1d2-a6a6-4e60-a8e9-5a44e686ea1f_input-input-1779734721670-w5z71vx1i_png_jpg.rf.c777ed0d816ef9faedc3eb7e1f521d5a.jpg", "expected": "Puffs", "predicted": "Puffs", "correct": true, "input_tokens": 1171, "output_tokens": 6, "elapsed_seconds": 3.3363904169527814, "metadata": {"question": "Which brand's box is located closest to the bottom edge of the black table? Output the brand name exactly as printed on the box.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.4034}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224146", "index": 17, "image": "0212eb3d-e4b1-4ef4-9204-e920654bf677_input-input-1778110710064-oqhw5zz8j_png_jpg.rf.d60dbb42e49e957743af859ee42767f0.jpg", "expected": "Seagram's", "predicted": "Seagram's 7", "correct": false, "input_tokens": 1149, "output_tokens": 10, "elapsed_seconds": 5.028643541038036, "metadata": {"question": "Which brand of liquor is located directly to the left of the bright orange Glenmorangie box? Output the exact text found on the bottle's main upper label.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 5.1474}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224146", "index": 18, "image": "2e15743f-6bc8-4cce-8ec0-66eea3a6ca2f_input-input-1779607392296-qwxxnltdb_png_jpg.rf.cb1d3d6cd6b04ff35f30afcd26ec0a54.jpg", "expected": "Tuc", "predicted": "TUC", "correct": true, "input_tokens": 1189, "output_tokens": 6, "elapsed_seconds": 3.2644722500117496, "metadata": {"question": "Which brand of snack is located directly to the right of the Fiorentini package on the far left of the third row? Output the exact text found on the main label.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.3003}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224146", "index": 19, "image": "1710a83d-1506-464e-83bf-f015141f1c37_input-input-1779171626146-78hoa3cju_png_jpg.rf.d99746d7404eb8a4900f9f714f0dbb68.jpg", "expected": "Appointment", "predicted": "Appointment", "correct": true, "input_tokens": 1177, "output_tokens": 5, "elapsed_seconds": 2.9844650839222595, "metadata": {"question": "Which step in the horizontal progress tracker near the top of the page is currently active and marked with a filled blue circle? Output the exact text label of the active step.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9995}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224146", "index": 20, "image": "1710a83d-1506-464e-83bf-f015141f1c37_input-input-1779171626146-78hoa3cju_png_jpg.rf.d99746d7404eb8a4900f9f714f0dbb68.jpg", "expected": "blue", "predicted": "blue", "correct": true, "input_tokens": 1174, "output_tokens": 5, "elapsed_seconds": 3.1149268329609185, "metadata": {"question": "What color is the background of the \"Continue\" button located at the bottom right corner of the interface? Answer strictly with the lowercase name of the color.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1292}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224146", "index": 21, "image": "20c6f561-491b-44ca-a96a-8f6d926b8307_png_jpg.rf.d7a585c3f57932b5a082de3f1a393832.jpg", "expected": "green", "predicted": "green", "correct": true, "input_tokens": 1148, "output_tokens": 5, "elapsed_seconds": 2.939399707945995, "metadata": {"question": "What color is the illuminated circular button on the metal control panel at the top center? Answer strictly with the lowercase color name (e.g., yellow).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9768}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224146", "index": 22, "image": "ae20b44c-9be6-47a5-8002-2c417a2a2441_png_jpg.rf.831df5c9ebce5644f8482c403e349df4.jpg", "expected": "clockwise", "predicted": "clockwise", "correct": true, "input_tokens": 1168, "output_tokens": 5, "elapsed_seconds": 2.1083289589732885, "metadata": {"question": "In which direction does the circular arrow inside the green \"SLEEVE\" recycling icon rotate? Answer strictly with a single lowercase word (e.g., clockwise).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.1188}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224146", "index": 23, "image": "94f3adfa-0184-4872-8eb9-9f24e1a81a95_png_jpg.rf.e61cbf03dfc0c1c01510c48e93cdb983.jpg", "expected": "BOSS", "predicted": "BOSS", "correct": true, "input_tokens": 1182, "output_tokens": 5, "elapsed_seconds": 3.273626417038031, "metadata": {"question": "What is the sponsor name printed in white on the left side mirror winglet? Output the exact text as printed (e.g., \"ROLEX\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.3673}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224146", "index": 24, "image": "94f3adfa-0184-4872-8eb9-9f24e1a81a95_png_jpg.rf.e61cbf03dfc0c1c01510c48e93cdb983.jpg", "expected": "LECLERC", "predicted": "LECLERC", "correct": true, "input_tokens": 1189, "output_tokens": 7, "elapsed_seconds": 3.8201630410039797, "metadata": {"question": "Which driver's name is displayed in the timing panel directly to the right of Hamilton's panel? Output the exact name as printed (e.g., \"VERSTAPPEN\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.9133}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224146", "index": 25, "image": "1b427858-f42b-4083-a3c7-09695ea0f3de_png_jpg.rf.4c978aae775eb6005121e9fdaf79a4c1.jpg", "expected": "E70-21-27-03-001", "predicted": "E70-21-27-03-001", "correct": true, "input_tokens": 1204, "output_tokens": 20, "elapsed_seconds": 3.25839274993632, "metadata": {"question": "Which E/C code is associated with the description \"FORWARD CARGO COMPARTMENT CHECK VALVE - OPERATIONAL TEST\" in the bottom section? Output the exact code as printed (e.g., E70-XX-XX-XX-XX).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.2774}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224146", "index": 26, "image": "acc53733-7609-4a88-9125-d9671368e31c_png_jpg.rf.12c7cc10f331789e9443ed17a5069e81.jpg", "expected": "yellow", "predicted": "yellow", "correct": true, "input_tokens": 1188, "output_tokens": 5, "elapsed_seconds": 2.8507589999353513, "metadata": {"question": "What color is the letter \"M\" displayed in the column to the right of the lap times on the leaderboard? Answer strictly with the lowercase color name (e.g., blue).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8922}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224146", "index": 27, "image": "0f07f712-f1ce-4b90-963e-7849862d827d_input-input-1779919148318-fedk52cp8_png_jpg.rf.4ca482cc2aba45b411de65cad76253e2.jpg", "expected": "red", "predicted": "red", "correct": true, "input_tokens": 1176, "output_tokens": 5, "elapsed_seconds": 2.63315349991899, "metadata": {"question": "What color is the rectangular brick located directly below the green 2x4 brick? Answer strictly with the lowercase color name.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.6658}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224146", "index": 28, "image": "3250b041-2ce2-4500-a99d-6f95f5536be5_input-input-1779670032347-3m1xayuws_png_jpg.rf.95a4592009a0c672498005632e81c9d5.jpg", "expected": "checkered flag", "predicted": "Checkered flag", "correct": true, "input_tokens": 1153, "output_tokens": 7, "elapsed_seconds": 10.900968124973588, "metadata": {"question": " What specific racing-related object is depicted in the logo directly above the large number \"17\" on the tire? Answer with a short descriptive phrase.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.97}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224146", "index": 29, "image": "1a2826ae-6b4f-402d-871c-c99feec8673f_input-input-1773615096287-0i6s4vldj_png_jpg.rf.8ab2ade21a5b6f6dee2307de719eb877.jpg", "expected": "Enable two-factor authentication (2FA)", "predicted": "Enable two-factor authentication (2FA)", "correct": true, "input_tokens": 1184, "output_tokens": 13, "elapsed_seconds": 3.0514657080639154, "metadata": {"question": "What is the main heading centered above the progress indicator at the top of the screen? Output the text exactly as printed (e.g., Account Settings).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.0702}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224146", "index": 30, "image": "bab22192-40dc-46bd-b314-ea08adf480e4_input-input-1768993566899-f1f6n85t5_png_jpg.rf.57bf3349d30203ce44bff8a502abf964.jpg", "expected": "Fisherbrand", "predicted": "Fisherbrand", "correct": true, "input_tokens": 1143, "output_tokens": 6, "elapsed_seconds": 2.883937375037931, "metadata": {"question": "What brand name is printed in large white text on the rightmost beaker? Output the text exactly as printed (e.g., Pyrex).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9614}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224146", "index": 31, "image": "4f2b6aab-f1c1-4f16-b3ca-bbe4d399a897_input-input-1773381300920-0uaf4zno9_png_jpg.rf.cafad4b6eb9a3ec94667457e32e8b7f5.jpg", "expected": "strawberry", "predicted": "strawberry", "correct": true, "input_tokens": 1188, "output_tokens": 5, "elapsed_seconds": 2.5445156660862267, "metadata": {"question": "What specific type of red fruit is present in both the loose rectangular metal container on the left and inside the small white portion bowls? Answer strictly with the lowercase singular name of the fruit.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.5929}} diff --git a/results/identification_gemini-4-argon-eap_low_20261012_224148.jsonl b/results/identification_gemini-4-argon-eap_low_20261012_224148.jsonl deleted file mode 100644 index 78a0166..0000000 --- a/results/identification_gemini-4-argon-eap_low_20261012_224148.jsonl +++ /dev/null @@ -1,32 +0,0 @@ -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224148", "index": 0, "image": "3cd889b7-4626-47fe-af90-b98b2d5ffdfc_png_jpg.rf.5c5d4f21c762f72d90520cb6109cb09f.jpg", "expected": "THYRONORM 25 MCG", "predicted": "THYRONORM 25 MCG", "correct": true, "input_tokens": 1192, "output_tokens": 12, "elapsed_seconds": 3.463578417082317, "metadata": {"question": "Which medicine description is listed directly below \"TRAJENTA 5\" in the DESCRIPTION column? Output the exact text as printed in uppercase (e.g., THYRONORM 25 MCG).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.5347}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224148", "index": 1, "image": "17d4ef5a-1a26-408b-be0a-58c1dafeac60_input-input-1770908217014-bcp37tuu1_png_jpg.rf.9cea7c7b2576ac1d69d590779d8503b7.jpg", "expected": "phone", "predicted": "smartphone", "correct": true, "input_tokens": 1146, "output_tokens": 5, "elapsed_seconds": 4.734017415903509, "metadata": {"question": "What type of electronic device is located in the top left corner of the suitcase? Answer strictly with a single lowercase word (e.g., tablet).", "strict_correct": false, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.7579}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224148", "index": 2, "image": "17d4ef5a-1a26-408b-be0a-58c1dafeac60_input-input-1770908217014-bcp37tuu1_png_jpg.rf.9cea7c7b2576ac1d69d590779d8503b7.jpg", "expected": "gun", "predicted": "gun", "correct": true, "input_tokens": 1144, "output_tokens": 5, "elapsed_seconds": 3.215006166952662, "metadata": {"question": "What type of weapon is located in the bottom left section of the bag? Answer strictly with a single lowercase word (e.g., knife).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.2337}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224148", "index": 3, "image": "4cf40711-7419-4961-8920-88715c8b601f_input-input-1777166096829-s1ov2lkxh_png_jpg.rf.34eac53cd89940a961da242f1505b83a.jpg", "expected": "yellow", "predicted": "yellow", "correct": true, "input_tokens": 1179, "output_tokens": 5, "elapsed_seconds": 3.0066186250187457, "metadata": {"question": "What color is the long, rectangular plate with four studs located near the center of the scattered pieces? Answer strictly with the lowercase color name.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.0599}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224148", "index": 4, "image": "4cf40711-7419-4961-8920-88715c8b601f_input-input-1777166096829-s1ov2lkxh_png_jpg.rf.34eac53cd89940a961da242f1505b83a.jpg", "expected": "lightsaber", "predicted": "lightsaber", "correct": true, "input_tokens": 1187, "output_tokens": 6, "elapsed_seconds": 2.659508957993239, "metadata": {"question": "Several weapons are scattered in the image. Which specific weapon distinctly belongs to a sci-fi setting rather than a medieval theme? Answer strictly with the common lowercase name of the item.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7165}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224148", "index": 5, "image": "10560d19-89be-46e5-9c67-5bcd6fbe63fa_input-input-1778794839979-nzi2gvpcw_png_jpg.rf.59aede2d1a7b1d753dab3e55af9bec36.jpg", "expected": "kPa", "predicted": "kPa", "correct": true, "input_tokens": 1180, "output_tokens": 6, "elapsed_seconds": 2.612087415996939, "metadata": {"question": "Which unit of measurement is printed on the dial of the gauge positioned furthest to the right on the blue pipe? Output the exact text as printed.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.6608}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224148", "index": 6, "image": "cc68304c-144a-4975-a93a-d8efa85db6ed_input-input-1769095484858-rohdg9mmc_png_jpg.rf.af1b26038a5e163c931dc4e983f53a56.jpg", "expected": "Yoplait", "predicted": "Yoplait", "correct": true, "input_tokens": 1169, "output_tokens": 7, "elapsed_seconds": 2.769106624997221, "metadata": {"question": "What brand name is printed on the yogurt labels? Output the exact text exactly as printed.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8256}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224148", "index": 7, "image": "c3f661e1-1ce5-4c6b-ba39-f052aa469ae2_input-input-1780892587755-2dtxi0at3_png_jpg.rf.20b39c22d4076f012a024e6dc30f9a9a.jpg", "expected": "pencil", "predicted": "pencil", "correct": true, "input_tokens": 1159, "output_tokens": 5, "elapsed_seconds": 4.355155332945287, "metadata": {"question": "What object is shown on the small brown edit button overlapping the circular profile photo? Answer strictly with a lowercase singular noun (e.g., camera).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.3716}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224148", "index": 8, "image": "1478f318-0372-4bbb-bf28-6cab8c447a59_input-input-1771868885484-ua18hynnb_png_jpg.rf.4ad7f50638ebe01dc084da1b0f1ad471.jpg", "expected": "M&M's", "predicted": "M&M'S", "correct": true, "input_tokens": 1146, "output_tokens": 9, "elapsed_seconds": 4.916932500083931, "metadata": {"question": "Which candy brand appears in two different flavor versions in the machine? Output the exact brand name as printed on the wrapper (e.g., Snickers).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.9866}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224148", "index": 9, "image": "1478f318-0372-4bbb-bf28-6cab8c447a59_input-input-1771868885484-ua18hynnb_png_jpg.rf.4ad7f50638ebe01dc084da1b0f1ad471.jpg", "expected": "SNICKERS", "predicted": "M&M's", "correct": false, "input_tokens": 1149, "output_tokens": 9, "elapsed_seconds": 11.196225375053473, "metadata": {"question": "Which brand of candy has the most packages visible in the machine? Output the exact brand name as printed on the wrapper (e.g., M&M's).", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 11.2678}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224148", "index": 10, "image": "1279aeec-75d6-46ab-89c1-69cb067d9aaf_input-input-1769306313178-lbvw9serc_png_jpg.rf.41361767492fa1a80e6afea73573cfe3.jpg", "expected": "bottom", "predicted": "bottom", "correct": true, "input_tokens": 1175, "output_tokens": 5, "elapsed_seconds": 4.315138458041474, "metadata": {"question": "Which of the three vertically stacked targets has an arrow stuck directly into its yellow center ring? Answer strictly with a positional word (e.g., top, middle, bottom).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.3419}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224148", "index": 11, "image": "93441566-50c0-4bfb-9a31-437a2bc5e4f2_png_jpg.rf.76f710b9bae11e645b2e2f321c4c28c7.jpg", "expected": "Sanji", "predicted": "Sanji", "correct": true, "input_tokens": 1189, "output_tokens": 6, "elapsed_seconds": 2.9377984170569107, "metadata": {"question": "What is the large white text printed directly below the word \"CHARACTER\" at the bottom of the card? Output the exact text as printed (e.g., \"Luffy\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9526}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224148", "index": 12, "image": "097f7d52-0fd1-4385-9ec4-65a9ee83d81b_input-input-1776852419339-bqf3nz0wx_png_jpg.rf.40fa273eb7f690671e9c0e59d85e7be5.jpg", "expected": "black", "predicted": "black", "correct": true, "input_tokens": 1164, "output_tokens": 5, "elapsed_seconds": 5.613469083909877, "metadata": {"question": "What color is the vehicle parked immediately to the left of the bright green car? Answer strictly with the lowercase color name.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.7197}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224148", "index": 13, "image": "25e6ed9c-2d37-4533-8021-977770aa97d1_input-input-1780691294811-oql9y0w9f_png_jpg.rf.c641fe7967e345c1802f26f48ff5ec25.jpg", "expected": "blue", "predicted": "blue", "correct": true, "input_tokens": 1182, "output_tokens": 5, "elapsed_seconds": 3.053732499945909, "metadata": {"question": "What is the primary color of the gas cylinders that occupy the majority of the truck bed? Answer strictly with the lowercase word 'blue' or 'green'.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1052}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224148", "index": 14, "image": "7073c8ac-b9a8-4916-a976-5097055bd4a2_input-input-1772183761136-f7du2lnk9_png_jpg.rf.a437e0bf4a8959fdd8424bec09d3f864.jpg", "expected": "4C", "predicted": "4C", "correct": true, "input_tokens": 1144, "output_tokens": 6, "elapsed_seconds": 5.291436959058046, "metadata": {"question": "What US size is printed on the white shoe label on the tongue? Output the size exactly as printed (e.g., 7Y).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.4163}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224148", "index": 15, "image": "e060bfb7-df44-43fd-83e7-fd09ac632863_png_jpg.rf.f9d7b657fbf6487e431e4598bc34eb01.jpg", "expected": "Quatemberkinder", "predicted": "Quatemberkinder", "correct": true, "input_tokens": 1159, "output_tokens": 9, "elapsed_seconds": 3.512124790926464, "metadata": {"question": "What is the title of the book located directly to the left of the black-spined book \"THE GLASS CASTLE\"? Output the title exactly as printed on the spine (e.g., \"The Great Gatsby\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.5843}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224148", "index": 16, "image": "1f2fe1d2-a6a6-4e60-a8e9-5a44e686ea1f_input-input-1779734721670-w5z71vx1i_png_jpg.rf.c777ed0d816ef9faedc3eb7e1f521d5a.jpg", "expected": "Puffs", "predicted": "Puffs", "correct": true, "input_tokens": 1171, "output_tokens": 6, "elapsed_seconds": 3.2020151669858024, "metadata": {"question": "Which brand's box is located closest to the bottom edge of the black table? Output the brand name exactly as printed on the box.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.2704}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224148", "index": 17, "image": "0212eb3d-e4b1-4ef4-9204-e920654bf677_input-input-1778110710064-oqhw5zz8j_png_jpg.rf.d60dbb42e49e957743af859ee42767f0.jpg", "expected": "Seagram's", "predicted": "Seagram's 7", "correct": false, "input_tokens": 1149, "output_tokens": 10, "elapsed_seconds": 5.224054291029461, "metadata": {"question": "Which brand of liquor is located directly to the left of the bright orange Glenmorangie box? Output the exact text found on the bottle's main upper label.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 5.3504}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224148", "index": 18, "image": "2e15743f-6bc8-4cce-8ec0-66eea3a6ca2f_input-input-1779607392296-qwxxnltdb_png_jpg.rf.cb1d3d6cd6b04ff35f30afcd26ec0a54.jpg", "expected": "Tuc", "predicted": "Tuc", "correct": true, "input_tokens": 1189, "output_tokens": 5, "elapsed_seconds": 3.0408692080527544, "metadata": {"question": "Which brand of snack is located directly to the right of the Fiorentini package on the far left of the third row? Output the exact text found on the main label.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.078}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224148", "index": 19, "image": "1710a83d-1506-464e-83bf-f015141f1c37_input-input-1779171626146-78hoa3cju_png_jpg.rf.d99746d7404eb8a4900f9f714f0dbb68.jpg", "expected": "Appointment", "predicted": "Appointment", "correct": true, "input_tokens": 1177, "output_tokens": 5, "elapsed_seconds": 3.180389374960214, "metadata": {"question": "Which step in the horizontal progress tracker near the top of the page is currently active and marked with a filled blue circle? Output the exact text label of the active step.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1948}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224148", "index": 20, "image": "1710a83d-1506-464e-83bf-f015141f1c37_input-input-1779171626146-78hoa3cju_png_jpg.rf.d99746d7404eb8a4900f9f714f0dbb68.jpg", "expected": "blue", "predicted": "blue", "correct": true, "input_tokens": 1174, "output_tokens": 5, "elapsed_seconds": 1.9806693750433624, "metadata": {"question": "What color is the background of the \"Continue\" button located at the bottom right corner of the interface? Answer strictly with the lowercase name of the color.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 1.998}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224148", "index": 21, "image": "20c6f561-491b-44ca-a96a-8f6d926b8307_png_jpg.rf.d7a585c3f57932b5a082de3f1a393832.jpg", "expected": "green", "predicted": "green", "correct": true, "input_tokens": 1148, "output_tokens": 5, "elapsed_seconds": 5.574564834008925, "metadata": {"question": "What color is the illuminated circular button on the metal control panel at the top center? Answer strictly with the lowercase color name (e.g., yellow).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.6118}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224148", "index": 22, "image": "ae20b44c-9be6-47a5-8002-2c417a2a2441_png_jpg.rf.831df5c9ebce5644f8482c403e349df4.jpg", "expected": "clockwise", "predicted": "clockwise", "correct": true, "input_tokens": 1168, "output_tokens": 5, "elapsed_seconds": 2.6609788340283558, "metadata": {"question": "In which direction does the circular arrow inside the green \"SLEEVE\" recycling icon rotate? Answer strictly with a single lowercase word (e.g., clockwise).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.6724}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224148", "index": 23, "image": "94f3adfa-0184-4872-8eb9-9f24e1a81a95_png_jpg.rf.e61cbf03dfc0c1c01510c48e93cdb983.jpg", "expected": "BOSS", "predicted": "BOSS", "correct": true, "input_tokens": 1182, "output_tokens": 5, "elapsed_seconds": 2.712616250035353, "metadata": {"question": "What is the sponsor name printed in white on the left side mirror winglet? Output the exact text as printed (e.g., \"ROLEX\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7607}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224148", "index": 24, "image": "94f3adfa-0184-4872-8eb9-9f24e1a81a95_png_jpg.rf.e61cbf03dfc0c1c01510c48e93cdb983.jpg", "expected": "LECLERC", "predicted": "LECLERC", "correct": true, "input_tokens": 1189, "output_tokens": 7, "elapsed_seconds": 3.4293304999591783, "metadata": {"question": "Which driver's name is displayed in the timing panel directly to the right of Hamilton's panel? Output the exact name as printed (e.g., \"VERSTAPPEN\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.4752}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224148", "index": 25, "image": "1b427858-f42b-4083-a3c7-09695ea0f3de_png_jpg.rf.4c978aae775eb6005121e9fdaf79a4c1.jpg", "expected": "E70-21-27-03-001", "predicted": "E70-21-27-03-001", "correct": true, "input_tokens": 1204, "output_tokens": 20, "elapsed_seconds": 2.922793374978937, "metadata": {"question": "Which E/C code is associated with the description \"FORWARD CARGO COMPARTMENT CHECK VALVE - OPERATIONAL TEST\" in the bottom section? Output the exact code as printed (e.g., E70-XX-XX-XX-XX).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9412}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224148", "index": 26, "image": "acc53733-7609-4a88-9125-d9671368e31c_png_jpg.rf.12c7cc10f331789e9443ed17a5069e81.jpg", "expected": "yellow", "predicted": "yellow", "correct": true, "input_tokens": 1188, "output_tokens": 5, "elapsed_seconds": 3.5144960419274867, "metadata": {"question": "What color is the letter \"M\" displayed in the column to the right of the lap times on the leaderboard? Answer strictly with the lowercase color name (e.g., blue).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.5548}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224148", "index": 27, "image": "0f07f712-f1ce-4b90-963e-7849862d827d_input-input-1779919148318-fedk52cp8_png_jpg.rf.4ca482cc2aba45b411de65cad76253e2.jpg", "expected": "red", "predicted": "red", "correct": true, "input_tokens": 1176, "output_tokens": 5, "elapsed_seconds": 2.186983500025235, "metadata": {"question": "What color is the rectangular brick located directly below the green 2x4 brick? Answer strictly with the lowercase color name.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.2195}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224148", "index": 28, "image": "3250b041-2ce2-4500-a99d-6f95f5536be5_input-input-1779670032347-3m1xayuws_png_jpg.rf.95a4592009a0c672498005632e81c9d5.jpg", "expected": "checkered flag", "predicted": "A checkered flag", "correct": true, "input_tokens": 1153, "output_tokens": 7, "elapsed_seconds": 7.239770666928962, "metadata": {"question": " What specific racing-related object is depicted in the logo directly above the large number \"17\" on the tire? Answer with a short descriptive phrase.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.3085}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224148", "index": 29, "image": "1a2826ae-6b4f-402d-871c-c99feec8673f_input-input-1773615096287-0i6s4vldj_png_jpg.rf.8ab2ade21a5b6f6dee2307de719eb877.jpg", "expected": "Enable two-factor authentication (2FA)", "predicted": "Enable two-factor authentication (2FA)", "correct": true, "input_tokens": 1184, "output_tokens": 13, "elapsed_seconds": 3.3531787500251085, "metadata": {"question": "What is the main heading centered above the progress indicator at the top of the screen? Output the text exactly as printed (e.g., Account Settings).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.3721}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224148", "index": 30, "image": "bab22192-40dc-46bd-b314-ea08adf480e4_input-input-1768993566899-f1f6n85t5_png_jpg.rf.57bf3349d30203ce44bff8a502abf964.jpg", "expected": "Fisherbrand", "predicted": "Fisherbrand", "correct": true, "input_tokens": 1143, "output_tokens": 6, "elapsed_seconds": 3.5335375419817865, "metadata": {"question": "What brand name is printed in large white text on the rightmost beaker? Output the text exactly as printed (e.g., Pyrex).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.611}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "identification", "timestamp": "20261012_224148", "index": 31, "image": "4f2b6aab-f1c1-4f16-b3ca-bbe4d399a897_input-input-1773381300920-0uaf4zno9_png_jpg.rf.cafad4b6eb9a3ec94667457e32e8b7f5.jpg", "expected": "strawberry", "predicted": "strawberry", "correct": true, "input_tokens": 1188, "output_tokens": 5, "elapsed_seconds": 3.3444240000098944, "metadata": {"question": "What specific type of red fruit is present in both the loose rectangular metal container on the left and inside the small white portion bowls? Answer strictly with the lowercase singular name of the fruit.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.3937}} diff --git a/results/identification_gemini-4-argon_high_20261012_230959.jsonl b/results/identification_gemini-4-argon_high_20261012_230959.jsonl new file mode 100644 index 0000000..efa64f8 --- /dev/null +++ b/results/identification_gemini-4-argon_high_20261012_230959.jsonl @@ -0,0 +1,32 @@ +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_230959", "index": 0, "image": "3cd889b7-4626-47fe-af90-b98b2d5ffdfc_png_jpg.rf.5c5d4f21c762f72d90520cb6109cb09f.jpg", "expected": "THYRONORM 25 MCG", "predicted": "THYRONORM 25 MCG", "correct": true, "input_tokens": 1192, "output_tokens": 455, "elapsed_seconds": 6.485652250004932, "metadata": {"question": "Which medicine description is listed directly below \"TRAJENTA 5\" in the DESCRIPTION column? Output the exact text as printed in uppercase (e.g., THYRONORM 25 MCG).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.5583}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_230959", "index": 1, "image": "17d4ef5a-1a26-408b-be0a-58c1dafeac60_input-input-1770908217014-bcp37tuu1_png_jpg.rf.9cea7c7b2576ac1d69d590779d8503b7.jpg", "expected": "phone", "predicted": "phone", "correct": true, "input_tokens": 1146, "output_tokens": 1297, "elapsed_seconds": 18.147361667011864, "metadata": {"question": "What type of electronic device is located in the top left corner of the suitcase? Answer strictly with a single lowercase word (e.g., tablet).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 18.1719}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_230959", "index": 2, "image": "17d4ef5a-1a26-408b-be0a-58c1dafeac60_input-input-1770908217014-bcp37tuu1_png_jpg.rf.9cea7c7b2576ac1d69d590779d8503b7.jpg", "expected": "gun", "predicted": "gun", "correct": true, "input_tokens": 1144, "output_tokens": 401, "elapsed_seconds": 7.04368079197593, "metadata": {"question": "What type of weapon is located in the bottom left section of the bag? Answer strictly with a single lowercase word (e.g., knife).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.09}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_230959", "index": 3, "image": "4cf40711-7419-4961-8920-88715c8b601f_input-input-1777166096829-s1ov2lkxh_png_jpg.rf.34eac53cd89940a961da242f1505b83a.jpg", "expected": "yellow", "predicted": "yellow", "correct": true, "input_tokens": 1179, "output_tokens": 170, "elapsed_seconds": 4.588742124964483, "metadata": {"question": "What color is the long, rectangular plate with four studs located near the center of the scattered pieces? Answer strictly with the lowercase color name.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.6479}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_230959", "index": 4, "image": "4cf40711-7419-4961-8920-88715c8b601f_input-input-1777166096829-s1ov2lkxh_png_jpg.rf.34eac53cd89940a961da242f1505b83a.jpg", "expected": "lightsaber", "predicted": "lightsaber", "correct": true, "input_tokens": 1187, "output_tokens": 234, "elapsed_seconds": 6.801656916970387, "metadata": {"question": "Several weapons are scattered in the image. Which specific weapon distinctly belongs to a sci-fi setting rather than a medieval theme? Answer strictly with the common lowercase name of the item.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.8574}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_230959", "index": 5, "image": "10560d19-89be-46e5-9c67-5bcd6fbe63fa_input-input-1778794839979-nzi2gvpcw_png_jpg.rf.59aede2d1a7b1d753dab3e55af9bec36.jpg", "expected": "kPa", "predicted": "kPa", "correct": true, "input_tokens": 1180, "output_tokens": 290, "elapsed_seconds": 6.0444227090338245, "metadata": {"question": "Which unit of measurement is printed on the dial of the gauge positioned furthest to the right on the blue pipe? Output the exact text as printed.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.0931}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_230959", "index": 6, "image": "cc68304c-144a-4975-a93a-d8efa85db6ed_input-input-1769095484858-rohdg9mmc_png_jpg.rf.af1b26038a5e163c931dc4e983f53a56.jpg", "expected": "Yoplait", "predicted": "Yoplait", "correct": true, "input_tokens": 1169, "output_tokens": 213, "elapsed_seconds": 5.491928292089142, "metadata": {"question": "What brand name is printed on the yogurt labels? Output the exact text exactly as printed.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.5463}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_230959", "index": 7, "image": "c3f661e1-1ce5-4c6b-ba39-f052aa469ae2_input-input-1780892587755-2dtxi0at3_png_jpg.rf.20b39c22d4076f012a024e6dc30f9a9a.jpg", "expected": "pencil", "predicted": "pencil", "correct": true, "input_tokens": 1159, "output_tokens": 248, "elapsed_seconds": 4.792913666926324, "metadata": {"question": "What object is shown on the small brown edit button overlapping the circular profile photo? Answer strictly with a lowercase singular noun (e.g., camera).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.8133}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_230959", "index": 8, "image": "1478f318-0372-4bbb-bf28-6cab8c447a59_input-input-1771868885484-ua18hynnb_png_jpg.rf.4ad7f50638ebe01dc084da1b0f1ad471.jpg", "expected": "M&M's", "predicted": "M&M's", "correct": true, "input_tokens": 1146, "output_tokens": 530, "elapsed_seconds": 8.794318709056824, "metadata": {"question": "Which candy brand appears in two different flavor versions in the machine? Output the exact brand name as printed on the wrapper (e.g., Snickers).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.8628}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_230959", "index": 9, "image": "1478f318-0372-4bbb-bf28-6cab8c447a59_input-input-1771868885484-ua18hynnb_png_jpg.rf.4ad7f50638ebe01dc084da1b0f1ad471.jpg", "expected": "SNICKERS", "predicted": "M&M's", "correct": false, "input_tokens": 1149, "output_tokens": 938, "elapsed_seconds": 11.084572540945373, "metadata": {"question": "Which brand of candy has the most packages visible in the machine? Output the exact brand name as printed on the wrapper (e.g., M&M's).", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 11.1567}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_230959", "index": 10, "image": "1279aeec-75d6-46ab-89c1-69cb067d9aaf_input-input-1769306313178-lbvw9serc_png_jpg.rf.41361767492fa1a80e6afea73573cfe3.jpg", "expected": "bottom", "predicted": "bottom", "correct": true, "input_tokens": 1175, "output_tokens": 225, "elapsed_seconds": 5.004526042030193, "metadata": {"question": "Which of the three vertically stacked targets has an arrow stuck directly into its yellow center ring? Answer strictly with a positional word (e.g., top, middle, bottom).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.0319}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_230959", "index": 11, "image": "93441566-50c0-4bfb-9a31-437a2bc5e4f2_png_jpg.rf.76f710b9bae11e645b2e2f321c4c28c7.jpg", "expected": "Sanji", "predicted": "Sanji", "correct": true, "input_tokens": 1189, "output_tokens": 183, "elapsed_seconds": 3.6688862920273095, "metadata": {"question": "What is the large white text printed directly below the word \"CHARACTER\" at the bottom of the card? Output the exact text as printed (e.g., \"Luffy\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.6852}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_230959", "index": 12, "image": "097f7d52-0fd1-4385-9ec4-65a9ee83d81b_input-input-1776852419339-bqf3nz0wx_png_jpg.rf.40fa273eb7f690671e9c0e59d85e7be5.jpg", "expected": "black", "predicted": "black", "correct": true, "input_tokens": 1164, "output_tokens": 267, "elapsed_seconds": 6.9902874999679625, "metadata": {"question": "What color is the vehicle parked immediately to the left of the bright green car? Answer strictly with the lowercase color name.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.0927}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_230959", "index": 13, "image": "25e6ed9c-2d37-4533-8021-977770aa97d1_input-input-1780691294811-oql9y0w9f_png_jpg.rf.c641fe7967e345c1802f26f48ff5ec25.jpg", "expected": "blue", "predicted": "blue", "correct": true, "input_tokens": 1182, "output_tokens": 242, "elapsed_seconds": 4.378482999978587, "metadata": {"question": "What is the primary color of the gas cylinders that occupy the majority of the truck bed? Answer strictly with the lowercase word 'blue' or 'green'.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.43}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_230959", "index": 14, "image": "7073c8ac-b9a8-4916-a976-5097055bd4a2_input-input-1772183761136-f7du2lnk9_png_jpg.rf.a437e0bf4a8959fdd8424bec09d3f864.jpg", "expected": "4C", "predicted": "4C", "correct": true, "input_tokens": 1144, "output_tokens": 215, "elapsed_seconds": 4.981352625065483, "metadata": {"question": "What US size is printed on the white shoe label on the tongue? Output the size exactly as printed (e.g., 7Y).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.1036}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_230959", "index": 15, "image": "e060bfb7-df44-43fd-83e7-fd09ac632863_png_jpg.rf.f9d7b657fbf6487e431e4598bc34eb01.jpg", "expected": "Quatemberkinder", "predicted": "Quatemberkinder", "correct": true, "input_tokens": 1159, "output_tokens": 575, "elapsed_seconds": 7.791330541949719, "metadata": {"question": "What is the title of the book located directly to the left of the black-spined book \"THE GLASS CASTLE\"? Output the title exactly as printed on the spine (e.g., \"The Great Gatsby\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.8621}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_230959", "index": 16, "image": "1f2fe1d2-a6a6-4e60-a8e9-5a44e686ea1f_input-input-1779734721670-w5z71vx1i_png_jpg.rf.c777ed0d816ef9faedc3eb7e1f521d5a.jpg", "expected": "Puffs", "predicted": "Puffs", "correct": true, "input_tokens": 1171, "output_tokens": 507, "elapsed_seconds": 7.322241583024152, "metadata": {"question": "Which brand's box is located closest to the bottom edge of the black table? Output the brand name exactly as printed on the box.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.3928}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_230959", "index": 17, "image": "0212eb3d-e4b1-4ef4-9204-e920654bf677_input-input-1778110710064-oqhw5zz8j_png_jpg.rf.d60dbb42e49e957743af859ee42767f0.jpg", "expected": "Seagram's", "predicted": "Seagram's", "correct": true, "input_tokens": 1149, "output_tokens": 436, "elapsed_seconds": 7.111819874960929, "metadata": {"question": "Which brand of liquor is located directly to the left of the bright orange Glenmorangie box? Output the exact text found on the bottle's main upper label.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.2306}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_230959", "index": 18, "image": "2e15743f-6bc8-4cce-8ec0-66eea3a6ca2f_input-input-1779607392296-qwxxnltdb_png_jpg.rf.cb1d3d6cd6b04ff35f30afcd26ec0a54.jpg", "expected": "Tuc", "predicted": "Tuc", "correct": true, "input_tokens": 1189, "output_tokens": 888, "elapsed_seconds": 14.258150542038493, "metadata": {"question": "Which brand of snack is located directly to the right of the Fiorentini package on the far left of the third row? Output the exact text found on the main label.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 14.2933}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_230959", "index": 19, "image": "1710a83d-1506-464e-83bf-f015141f1c37_input-input-1779171626146-78hoa3cju_png_jpg.rf.d99746d7404eb8a4900f9f714f0dbb68.jpg", "expected": "Appointment", "predicted": "Appointment", "correct": true, "input_tokens": 1177, "output_tokens": 417, "elapsed_seconds": 6.7954908340470865, "metadata": {"question": "Which step in the horizontal progress tracker near the top of the page is currently active and marked with a filled blue circle? Output the exact text label of the active step.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.8097}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_230959", "index": 20, "image": "1710a83d-1506-464e-83bf-f015141f1c37_input-input-1779171626146-78hoa3cju_png_jpg.rf.d99746d7404eb8a4900f9f714f0dbb68.jpg", "expected": "blue", "predicted": "blue", "correct": true, "input_tokens": 1174, "output_tokens": 127, "elapsed_seconds": 3.342818084056489, "metadata": {"question": "What color is the background of the \"Continue\" button located at the bottom right corner of the interface? Answer strictly with the lowercase name of the color.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.357}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_230959", "index": 21, "image": "20c6f561-491b-44ca-a96a-8f6d926b8307_png_jpg.rf.d7a585c3f57932b5a082de3f1a393832.jpg", "expected": "green", "predicted": "green", "correct": true, "input_tokens": 1148, "output_tokens": 274, "elapsed_seconds": 5.051410457934253, "metadata": {"question": "What color is the illuminated circular button on the metal control panel at the top center? Answer strictly with the lowercase color name (e.g., yellow).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.0874}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_230959", "index": 22, "image": "ae20b44c-9be6-47a5-8002-2c417a2a2441_png_jpg.rf.831df5c9ebce5644f8482c403e349df4.jpg", "expected": "clockwise", "predicted": "clockwise", "correct": true, "input_tokens": 1168, "output_tokens": 433, "elapsed_seconds": 6.352827042108402, "metadata": {"question": "In which direction does the circular arrow inside the green \"SLEEVE\" recycling icon rotate? Answer strictly with a single lowercase word (e.g., clockwise).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.363}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_230959", "index": 23, "image": "94f3adfa-0184-4872-8eb9-9f24e1a81a95_png_jpg.rf.e61cbf03dfc0c1c01510c48e93cdb983.jpg", "expected": "BOSS", "predicted": "BOSS", "correct": true, "input_tokens": 1182, "output_tokens": 177, "elapsed_seconds": 4.3935609590262175, "metadata": {"question": "What is the sponsor name printed in white on the left side mirror winglet? Output the exact text as printed (e.g., \"ROLEX\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.4393}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_230959", "index": 24, "image": "94f3adfa-0184-4872-8eb9-9f24e1a81a95_png_jpg.rf.e61cbf03dfc0c1c01510c48e93cdb983.jpg", "expected": "LECLERC", "predicted": "LECLERC", "correct": true, "input_tokens": 1189, "output_tokens": 277, "elapsed_seconds": 6.146811457932927, "metadata": {"question": "Which driver's name is displayed in the timing panel directly to the right of Hamilton's panel? Output the exact name as printed (e.g., \"VERSTAPPEN\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.1926}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_230959", "index": 25, "image": "1b427858-f42b-4083-a3c7-09695ea0f3de_png_jpg.rf.4c978aae775eb6005121e9fdaf79a4c1.jpg", "expected": "E70-21-27-03-001", "predicted": "E70-21-27-03-001", "correct": true, "input_tokens": 1204, "output_tokens": 260, "elapsed_seconds": 4.526672416017391, "metadata": {"question": "Which E/C code is associated with the description \"FORWARD CARGO COMPARTMENT CHECK VALVE - OPERATIONAL TEST\" in the bottom section? Output the exact code as printed (e.g., E70-XX-XX-XX-XX).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.5448}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_230959", "index": 26, "image": "acc53733-7609-4a88-9125-d9671368e31c_png_jpg.rf.12c7cc10f331789e9443ed17a5069e81.jpg", "expected": "yellow", "predicted": "yellow", "correct": true, "input_tokens": 1188, "output_tokens": 294, "elapsed_seconds": 4.868101416039281, "metadata": {"question": "What color is the letter \"M\" displayed in the column to the right of the lap times on the leaderboard? Answer strictly with the lowercase color name (e.g., blue).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.9089}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_230959", "index": 27, "image": "0f07f712-f1ce-4b90-963e-7849862d827d_input-input-1779919148318-fedk52cp8_png_jpg.rf.4ca482cc2aba45b411de65cad76253e2.jpg", "expected": "red", "predicted": "red", "correct": true, "input_tokens": 1176, "output_tokens": 351, "elapsed_seconds": 5.549750500009395, "metadata": {"question": "What color is the rectangular brick located directly below the green 2x4 brick? Answer strictly with the lowercase color name.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.5824}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_230959", "index": 28, "image": "3250b041-2ce2-4500-a99d-6f95f5536be5_input-input-1779670032347-3m1xayuws_png_jpg.rf.95a4592009a0c672498005632e81c9d5.jpg", "expected": "checkered flag", "predicted": "Checkered flag", "correct": true, "input_tokens": 1153, "output_tokens": 213, "elapsed_seconds": 5.030206416966394, "metadata": {"question": " What specific racing-related object is depicted in the logo directly above the large number \"17\" on the tire? Answer with a short descriptive phrase.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.1008}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_230959", "index": 29, "image": "1a2826ae-6b4f-402d-871c-c99feec8673f_input-input-1773615096287-0i6s4vldj_png_jpg.rf.8ab2ade21a5b6f6dee2307de719eb877.jpg", "expected": "Enable two-factor authentication (2FA)", "predicted": "Enable two-factor authentication (2FA)", "correct": true, "input_tokens": 1184, "output_tokens": 174, "elapsed_seconds": 3.2652038329979405, "metadata": {"question": "What is the main heading centered above the progress indicator at the top of the screen? Output the text exactly as printed (e.g., Account Settings).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.2842}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_230959", "index": 30, "image": "bab22192-40dc-46bd-b314-ea08adf480e4_input-input-1768993566899-f1f6n85t5_png_jpg.rf.57bf3349d30203ce44bff8a502abf964.jpg", "expected": "Fisherbrand", "predicted": "Fisherbrand", "correct": true, "input_tokens": 1143, "output_tokens": 94, "elapsed_seconds": 3.409070207970217, "metadata": {"question": "What brand name is printed in large white text on the rightmost beaker? Output the text exactly as printed (e.g., Pyrex).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.4871}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_230959", "index": 31, "image": "4f2b6aab-f1c1-4f16-b3ca-bbe4d399a897_input-input-1773381300920-0uaf4zno9_png_jpg.rf.cafad4b6eb9a3ec94667457e32e8b7f5.jpg", "expected": "strawberry", "predicted": "strawberry", "correct": true, "input_tokens": 1188, "output_tokens": 181, "elapsed_seconds": 5.044741332996637, "metadata": {"question": "What specific type of red fruit is present in both the loose rectangular metal container on the left and inside the small white portion bowls? Answer strictly with the lowercase singular name of the fruit.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.096}} diff --git a/results/identification_gemini-4-argon_high_20261012_231035.jsonl b/results/identification_gemini-4-argon_high_20261012_231035.jsonl new file mode 100644 index 0000000..4aec315 --- /dev/null +++ b/results/identification_gemini-4-argon_high_20261012_231035.jsonl @@ -0,0 +1,32 @@ +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_231035", "index": 0, "image": "3cd889b7-4626-47fe-af90-b98b2d5ffdfc_png_jpg.rf.5c5d4f21c762f72d90520cb6109cb09f.jpg", "expected": "THYRONORM 25 MCG", "predicted": "THYRONORM 25 MCG", "correct": true, "input_tokens": 1192, "output_tokens": 390, "elapsed_seconds": 6.239042958011851, "metadata": {"question": "Which medicine description is listed directly below \"TRAJENTA 5\" in the DESCRIPTION column? Output the exact text as printed in uppercase (e.g., THYRONORM 25 MCG).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.311}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_231035", "index": 1, "image": "17d4ef5a-1a26-408b-be0a-58c1dafeac60_input-input-1770908217014-bcp37tuu1_png_jpg.rf.9cea7c7b2576ac1d69d590779d8503b7.jpg", "expected": "phone", "predicted": "phone", "correct": true, "input_tokens": 1146, "output_tokens": 1022, "elapsed_seconds": 16.80476120801177, "metadata": {"question": "What type of electronic device is located in the top left corner of the suitcase? Answer strictly with a single lowercase word (e.g., tablet).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 16.8278}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_231035", "index": 2, "image": "17d4ef5a-1a26-408b-be0a-58c1dafeac60_input-input-1770908217014-bcp37tuu1_png_jpg.rf.9cea7c7b2576ac1d69d590779d8503b7.jpg", "expected": "gun", "predicted": "gun", "correct": true, "input_tokens": 1144, "output_tokens": 270, "elapsed_seconds": 4.326149374945089, "metadata": {"question": "What type of weapon is located in the bottom left section of the bag? Answer strictly with a single lowercase word (e.g., knife).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.3468}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_231035", "index": 3, "image": "4cf40711-7419-4961-8920-88715c8b601f_input-input-1777166096829-s1ov2lkxh_png_jpg.rf.34eac53cd89940a961da242f1505b83a.jpg", "expected": "yellow", "predicted": "yellow", "correct": true, "input_tokens": 1179, "output_tokens": 245, "elapsed_seconds": 5.535471250070259, "metadata": {"question": "What color is the long, rectangular plate with four studs located near the center of the scattered pieces? Answer strictly with the lowercase color name.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.5889}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_231035", "index": 4, "image": "4cf40711-7419-4961-8920-88715c8b601f_input-input-1777166096829-s1ov2lkxh_png_jpg.rf.34eac53cd89940a961da242f1505b83a.jpg", "expected": "lightsaber", "predicted": "lightsaber", "correct": true, "input_tokens": 1187, "output_tokens": 221, "elapsed_seconds": 5.559056625002995, "metadata": {"question": "Several weapons are scattered in the image. Which specific weapon distinctly belongs to a sci-fi setting rather than a medieval theme? Answer strictly with the common lowercase name of the item.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.6136}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_231035", "index": 5, "image": "10560d19-89be-46e5-9c67-5bcd6fbe63fa_input-input-1778794839979-nzi2gvpcw_png_jpg.rf.59aede2d1a7b1d753dab3e55af9bec36.jpg", "expected": "kPa", "predicted": "kPa", "correct": true, "input_tokens": 1180, "output_tokens": 293, "elapsed_seconds": 5.434877458028495, "metadata": {"question": "Which unit of measurement is printed on the dial of the gauge positioned furthest to the right on the blue pipe? Output the exact text as printed.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.4814}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_231035", "index": 6, "image": "cc68304c-144a-4975-a93a-d8efa85db6ed_input-input-1769095484858-rohdg9mmc_png_jpg.rf.af1b26038a5e163c931dc4e983f53a56.jpg", "expected": "Yoplait", "predicted": "Yoplait", "correct": true, "input_tokens": 1169, "output_tokens": 314, "elapsed_seconds": 6.077510082977824, "metadata": {"question": "What brand name is printed on the yogurt labels? Output the exact text exactly as printed.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.1334}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_231035", "index": 7, "image": "c3f661e1-1ce5-4c6b-ba39-f052aa469ae2_input-input-1780892587755-2dtxi0at3_png_jpg.rf.20b39c22d4076f012a024e6dc30f9a9a.jpg", "expected": "pencil", "predicted": "pencil", "correct": true, "input_tokens": 1159, "output_tokens": 183, "elapsed_seconds": 3.752715792041272, "metadata": {"question": "What object is shown on the small brown edit button overlapping the circular profile photo? Answer strictly with a lowercase singular noun (e.g., camera).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.7691}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_231035", "index": 8, "image": "1478f318-0372-4bbb-bf28-6cab8c447a59_input-input-1771868885484-ua18hynnb_png_jpg.rf.4ad7f50638ebe01dc084da1b0f1ad471.jpg", "expected": "M&M's", "predicted": "M&M's", "correct": true, "input_tokens": 1146, "output_tokens": 502, "elapsed_seconds": 7.56101854192093, "metadata": {"question": "Which candy brand appears in two different flavor versions in the machine? Output the exact brand name as printed on the wrapper (e.g., Snickers).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.6294}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_231035", "index": 9, "image": "1478f318-0372-4bbb-bf28-6cab8c447a59_input-input-1771868885484-ua18hynnb_png_jpg.rf.4ad7f50638ebe01dc084da1b0f1ad471.jpg", "expected": "SNICKERS", "predicted": "M&M's", "correct": false, "input_tokens": 1149, "output_tokens": 935, "elapsed_seconds": 11.989975249976851, "metadata": {"question": "Which brand of candy has the most packages visible in the machine? Output the exact brand name as printed on the wrapper (e.g., M&M's).", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 12.0583}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_231035", "index": 10, "image": "1279aeec-75d6-46ab-89c1-69cb067d9aaf_input-input-1769306313178-lbvw9serc_png_jpg.rf.41361767492fa1a80e6afea73573cfe3.jpg", "expected": "bottom", "predicted": "bottom", "correct": true, "input_tokens": 1175, "output_tokens": 218, "elapsed_seconds": 4.302315083914436, "metadata": {"question": "Which of the three vertically stacked targets has an arrow stuck directly into its yellow center ring? Answer strictly with a positional word (e.g., top, middle, bottom).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.3292}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_231035", "index": 11, "image": "93441566-50c0-4bfb-9a31-437a2bc5e4f2_png_jpg.rf.76f710b9bae11e645b2e2f321c4c28c7.jpg", "expected": "Sanji", "predicted": "Sanji", "correct": true, "input_tokens": 1189, "output_tokens": 164, "elapsed_seconds": 3.6864744171034545, "metadata": {"question": "What is the large white text printed directly below the word \"CHARACTER\" at the bottom of the card? Output the exact text as printed (e.g., \"Luffy\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.6995}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_231035", "index": 12, "image": "097f7d52-0fd1-4385-9ec4-65a9ee83d81b_input-input-1776852419339-bqf3nz0wx_png_jpg.rf.40fa273eb7f690671e9c0e59d85e7be5.jpg", "expected": "black", "predicted": "black", "correct": true, "input_tokens": 1164, "output_tokens": 182, "elapsed_seconds": 5.429169083945453, "metadata": {"question": "What color is the vehicle parked immediately to the left of the bright green car? Answer strictly with the lowercase color name.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.5302}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_231035", "index": 13, "image": "25e6ed9c-2d37-4533-8021-977770aa97d1_input-input-1780691294811-oql9y0w9f_png_jpg.rf.c641fe7967e345c1802f26f48ff5ec25.jpg", "expected": "blue", "predicted": "blue", "correct": true, "input_tokens": 1182, "output_tokens": 234, "elapsed_seconds": 4.631582833011635, "metadata": {"question": "What is the primary color of the gas cylinders that occupy the majority of the truck bed? Answer strictly with the lowercase word 'blue' or 'green'.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.6815}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_231035", "index": 14, "image": "7073c8ac-b9a8-4916-a976-5097055bd4a2_input-input-1772183761136-f7du2lnk9_png_jpg.rf.a437e0bf4a8959fdd8424bec09d3f864.jpg", "expected": "4C", "predicted": "4C", "correct": true, "input_tokens": 1144, "output_tokens": 160, "elapsed_seconds": 4.511515207937919, "metadata": {"question": "What US size is printed on the white shoe label on the tongue? Output the size exactly as printed (e.g., 7Y).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.6346}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_231035", "index": 15, "image": "e060bfb7-df44-43fd-83e7-fd09ac632863_png_jpg.rf.f9d7b657fbf6487e431e4598bc34eb01.jpg", "expected": "Quatemberkinder", "predicted": "Quatemberkinder", "correct": true, "input_tokens": 1159, "output_tokens": 434, "elapsed_seconds": 6.812919124960899, "metadata": {"question": "What is the title of the book located directly to the left of the black-spined book \"THE GLASS CASTLE\"? Output the title exactly as printed on the spine (e.g., \"The Great Gatsby\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.8834}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_231035", "index": 16, "image": "1f2fe1d2-a6a6-4e60-a8e9-5a44e686ea1f_input-input-1779734721670-w5z71vx1i_png_jpg.rf.c777ed0d816ef9faedc3eb7e1f521d5a.jpg", "expected": "Puffs", "predicted": "Puffs", "correct": true, "input_tokens": 1171, "output_tokens": 306, "elapsed_seconds": 6.088215749943629, "metadata": {"question": "Which brand's box is located closest to the bottom edge of the black table? Output the brand name exactly as printed on the box.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.1545}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_231035", "index": 17, "image": "0212eb3d-e4b1-4ef4-9204-e920654bf677_input-input-1778110710064-oqhw5zz8j_png_jpg.rf.d60dbb42e49e957743af859ee42767f0.jpg", "expected": "Seagram's", "predicted": "Seagram's", "correct": true, "input_tokens": 1149, "output_tokens": 476, "elapsed_seconds": 7.854011500021443, "metadata": {"question": "Which brand of liquor is located directly to the left of the bright orange Glenmorangie box? Output the exact text found on the bottle's main upper label.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.2557}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_231035", "index": 18, "image": "2e15743f-6bc8-4cce-8ec0-66eea3a6ca2f_input-input-1779607392296-qwxxnltdb_png_jpg.rf.cb1d3d6cd6b04ff35f30afcd26ec0a54.jpg", "expected": "Tuc", "predicted": "TUC", "correct": true, "input_tokens": 1189, "output_tokens": 336, "elapsed_seconds": 5.582389250048436, "metadata": {"question": "Which brand of snack is located directly to the right of the Fiorentini package on the far left of the third row? Output the exact text found on the main label.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.6181}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_231035", "index": 19, "image": "1710a83d-1506-464e-83bf-f015141f1c37_input-input-1779171626146-78hoa3cju_png_jpg.rf.d99746d7404eb8a4900f9f714f0dbb68.jpg", "expected": "Appointment", "predicted": "Appointment", "correct": true, "input_tokens": 1177, "output_tokens": 366, "elapsed_seconds": 6.307507290970534, "metadata": {"question": "Which step in the horizontal progress tracker near the top of the page is currently active and marked with a filled blue circle? Output the exact text label of the active step.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.3232}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_231035", "index": 20, "image": "1710a83d-1506-464e-83bf-f015141f1c37_input-input-1779171626146-78hoa3cju_png_jpg.rf.d99746d7404eb8a4900f9f714f0dbb68.jpg", "expected": "blue", "predicted": "blue", "correct": true, "input_tokens": 1174, "output_tokens": 138, "elapsed_seconds": 4.026430167024955, "metadata": {"question": "What color is the background of the \"Continue\" button located at the bottom right corner of the interface? Answer strictly with the lowercase name of the color.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.0407}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_231035", "index": 21, "image": "20c6f561-491b-44ca-a96a-8f6d926b8307_png_jpg.rf.d7a585c3f57932b5a082de3f1a393832.jpg", "expected": "green", "predicted": "green", "correct": true, "input_tokens": 1148, "output_tokens": 191, "elapsed_seconds": 4.200726583017968, "metadata": {"question": "What color is the illuminated circular button on the metal control panel at the top center? Answer strictly with the lowercase color name (e.g., yellow).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.2428}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_231035", "index": 22, "image": "ae20b44c-9be6-47a5-8002-2c417a2a2441_png_jpg.rf.831df5c9ebce5644f8482c403e349df4.jpg", "expected": "clockwise", "predicted": "clockwise", "correct": true, "input_tokens": 1168, "output_tokens": 235, "elapsed_seconds": 4.175076124956831, "metadata": {"question": "In which direction does the circular arrow inside the green \"SLEEVE\" recycling icon rotate? Answer strictly with a single lowercase word (e.g., clockwise).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.1855}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_231035", "index": 23, "image": "94f3adfa-0184-4872-8eb9-9f24e1a81a95_png_jpg.rf.e61cbf03dfc0c1c01510c48e93cdb983.jpg", "expected": "BOSS", "predicted": "BOSS", "correct": true, "input_tokens": 1182, "output_tokens": 200, "elapsed_seconds": 3.8381250830134377, "metadata": {"question": "What is the sponsor name printed in white on the left side mirror winglet? Output the exact text as printed (e.g., \"ROLEX\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.8891}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_231035", "index": 24, "image": "94f3adfa-0184-4872-8eb9-9f24e1a81a95_png_jpg.rf.e61cbf03dfc0c1c01510c48e93cdb983.jpg", "expected": "LECLERC", "predicted": "LECLERC", "correct": true, "input_tokens": 1189, "output_tokens": 285, "elapsed_seconds": 4.845970332971774, "metadata": {"question": "Which driver's name is displayed in the timing panel directly to the right of Hamilton's panel? Output the exact name as printed (e.g., \"VERSTAPPEN\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.8928}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_231035", "index": 25, "image": "1b427858-f42b-4083-a3c7-09695ea0f3de_png_jpg.rf.4c978aae775eb6005121e9fdaf79a4c1.jpg", "expected": "E70-21-27-03-001", "predicted": "E70-21-27-03-001", "correct": true, "input_tokens": 1204, "output_tokens": 408, "elapsed_seconds": 5.704120249953121, "metadata": {"question": "Which E/C code is associated with the description \"FORWARD CARGO COMPARTMENT CHECK VALVE - OPERATIONAL TEST\" in the bottom section? Output the exact code as printed (e.g., E70-XX-XX-XX-XX).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.7219}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_231035", "index": 26, "image": "acc53733-7609-4a88-9125-d9671368e31c_png_jpg.rf.12c7cc10f331789e9443ed17a5069e81.jpg", "expected": "yellow", "predicted": "yellow", "correct": true, "input_tokens": 1188, "output_tokens": 294, "elapsed_seconds": 5.966861041029915, "metadata": {"question": "What color is the letter \"M\" displayed in the column to the right of the lap times on the leaderboard? Answer strictly with the lowercase color name (e.g., blue).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.0087}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_231035", "index": 27, "image": "0f07f712-f1ce-4b90-963e-7849862d827d_input-input-1779919148318-fedk52cp8_png_jpg.rf.4ca482cc2aba45b411de65cad76253e2.jpg", "expected": "red", "predicted": "red", "correct": true, "input_tokens": 1176, "output_tokens": 318, "elapsed_seconds": 5.330217458074912, "metadata": {"question": "What color is the rectangular brick located directly below the green 2x4 brick? Answer strictly with the lowercase color name.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.3665}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_231035", "index": 28, "image": "3250b041-2ce2-4500-a99d-6f95f5536be5_input-input-1779670032347-3m1xayuws_png_jpg.rf.95a4592009a0c672498005632e81c9d5.jpg", "expected": "checkered flag", "predicted": "checkered flag", "correct": true, "input_tokens": 1153, "output_tokens": 163, "elapsed_seconds": 4.311210040934384, "metadata": {"question": " What specific racing-related object is depicted in the logo directly above the large number \"17\" on the tire? Answer with a short descriptive phrase.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.3812}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_231035", "index": 29, "image": "1a2826ae-6b4f-402d-871c-c99feec8673f_input-input-1773615096287-0i6s4vldj_png_jpg.rf.8ab2ade21a5b6f6dee2307de719eb877.jpg", "expected": "Enable two-factor authentication (2FA)", "predicted": "Enable two-factor authentication (2FA)", "correct": true, "input_tokens": 1184, "output_tokens": 110, "elapsed_seconds": 3.0109540830599144, "metadata": {"question": "What is the main heading centered above the progress indicator at the top of the screen? Output the text exactly as printed (e.g., Account Settings).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.0294}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_231035", "index": 30, "image": "bab22192-40dc-46bd-b314-ea08adf480e4_input-input-1768993566899-f1f6n85t5_png_jpg.rf.57bf3349d30203ce44bff8a502abf964.jpg", "expected": "Fisherbrand", "predicted": "Fisherbrand", "correct": true, "input_tokens": 1143, "output_tokens": 230, "elapsed_seconds": 4.94331870903261, "metadata": {"question": "What brand name is printed in large white text on the rightmost beaker? Output the text exactly as printed (e.g., Pyrex).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.0206}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_231035", "index": 31, "image": "4f2b6aab-f1c1-4f16-b3ca-bbe4d399a897_input-input-1773381300920-0uaf4zno9_png_jpg.rf.cafad4b6eb9a3ec94667457e32e8b7f5.jpg", "expected": "strawberry", "predicted": "strawberry", "correct": true, "input_tokens": 1188, "output_tokens": 179, "elapsed_seconds": 4.481096250005066, "metadata": {"question": "What specific type of red fruit is present in both the loose rectangular metal container on the left and inside the small white portion bowls? Answer strictly with the lowercase singular name of the fruit.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.5295}} diff --git a/results/identification_gemini-4-argon_high_20261012_231059.jsonl b/results/identification_gemini-4-argon_high_20261012_231059.jsonl new file mode 100644 index 0000000..ced71a7 --- /dev/null +++ b/results/identification_gemini-4-argon_high_20261012_231059.jsonl @@ -0,0 +1,32 @@ +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_231059", "index": 0, "image": "3cd889b7-4626-47fe-af90-b98b2d5ffdfc_png_jpg.rf.5c5d4f21c762f72d90520cb6109cb09f.jpg", "expected": "THYRONORM 25 MCG", "predicted": "THYRONORM 25 MCG", "correct": true, "input_tokens": 1192, "output_tokens": 393, "elapsed_seconds": 6.674183708964847, "metadata": {"question": "Which medicine description is listed directly below \"TRAJENTA 5\" in the DESCRIPTION column? Output the exact text as printed in uppercase (e.g., THYRONORM 25 MCG).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.7461}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_231059", "index": 1, "image": "17d4ef5a-1a26-408b-be0a-58c1dafeac60_input-input-1770908217014-bcp37tuu1_png_jpg.rf.9cea7c7b2576ac1d69d590779d8503b7.jpg", "expected": "phone", "predicted": "phone", "correct": true, "input_tokens": 1146, "output_tokens": 1091, "elapsed_seconds": 16.885117209050804, "metadata": {"question": "What type of electronic device is located in the top left corner of the suitcase? Answer strictly with a single lowercase word (e.g., tablet).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 16.9081}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_231059", "index": 2, "image": "17d4ef5a-1a26-408b-be0a-58c1dafeac60_input-input-1770908217014-bcp37tuu1_png_jpg.rf.9cea7c7b2576ac1d69d590779d8503b7.jpg", "expected": "gun", "predicted": "gun", "correct": true, "input_tokens": 1144, "output_tokens": 332, "elapsed_seconds": 5.485781041090377, "metadata": {"question": "What type of weapon is located in the bottom left section of the bag? Answer strictly with a single lowercase word (e.g., knife).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.5044}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_231059", "index": 3, "image": "4cf40711-7419-4961-8920-88715c8b601f_input-input-1777166096829-s1ov2lkxh_png_jpg.rf.34eac53cd89940a961da242f1505b83a.jpg", "expected": "yellow", "predicted": "yellow", "correct": true, "input_tokens": 1179, "output_tokens": 268, "elapsed_seconds": 4.447911208029836, "metadata": {"question": "What color is the long, rectangular plate with four studs located near the center of the scattered pieces? Answer strictly with the lowercase color name.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.5011}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_231059", "index": 4, "image": "4cf40711-7419-4961-8920-88715c8b601f_input-input-1777166096829-s1ov2lkxh_png_jpg.rf.34eac53cd89940a961da242f1505b83a.jpg", "expected": "lightsaber", "predicted": "lightsaber", "correct": true, "input_tokens": 1187, "output_tokens": 210, "elapsed_seconds": 4.3990703750168905, "metadata": {"question": "Several weapons are scattered in the image. Which specific weapon distinctly belongs to a sci-fi setting rather than a medieval theme? Answer strictly with the common lowercase name of the item.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.4527}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_231059", "index": 5, "image": "10560d19-89be-46e5-9c67-5bcd6fbe63fa_input-input-1778794839979-nzi2gvpcw_png_jpg.rf.59aede2d1a7b1d753dab3e55af9bec36.jpg", "expected": "kPa", "predicted": "kPa", "correct": true, "input_tokens": 1180, "output_tokens": 263, "elapsed_seconds": 4.643867208040319, "metadata": {"question": "Which unit of measurement is printed on the dial of the gauge positioned furthest to the right on the blue pipe? Output the exact text as printed.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.69}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_231059", "index": 6, "image": "cc68304c-144a-4975-a93a-d8efa85db6ed_input-input-1769095484858-rohdg9mmc_png_jpg.rf.af1b26038a5e163c931dc4e983f53a56.jpg", "expected": "Yoplait", "predicted": "Yoplait", "correct": true, "input_tokens": 1169, "output_tokens": 253, "elapsed_seconds": 5.184545791940764, "metadata": {"question": "What brand name is printed on the yogurt labels? Output the exact text exactly as printed.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.2389}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_231059", "index": 7, "image": "c3f661e1-1ce5-4c6b-ba39-f052aa469ae2_input-input-1780892587755-2dtxi0at3_png_jpg.rf.20b39c22d4076f012a024e6dc30f9a9a.jpg", "expected": "pencil", "predicted": "pencil", "correct": true, "input_tokens": 1159, "output_tokens": 256, "elapsed_seconds": 5.098049332969822, "metadata": {"question": "What object is shown on the small brown edit button overlapping the circular profile photo? Answer strictly with a lowercase singular noun (e.g., camera).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.1147}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_231059", "index": 8, "image": "1478f318-0372-4bbb-bf28-6cab8c447a59_input-input-1771868885484-ua18hynnb_png_jpg.rf.4ad7f50638ebe01dc084da1b0f1ad471.jpg", "expected": "M&M's", "predicted": "M&M's", "correct": true, "input_tokens": 1146, "output_tokens": 474, "elapsed_seconds": 7.101267500082031, "metadata": {"question": "Which candy brand appears in two different flavor versions in the machine? Output the exact brand name as printed on the wrapper (e.g., Snickers).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.1706}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_231059", "index": 9, "image": "1478f318-0372-4bbb-bf28-6cab8c447a59_input-input-1771868885484-ua18hynnb_png_jpg.rf.4ad7f50638ebe01dc084da1b0f1ad471.jpg", "expected": "SNICKERS", "predicted": "M&M's", "correct": false, "input_tokens": 1149, "output_tokens": 1088, "elapsed_seconds": 12.801644874969497, "metadata": {"question": "Which brand of candy has the most packages visible in the machine? Output the exact brand name as printed on the wrapper (e.g., M&M's).", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 12.8705}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_231059", "index": 10, "image": "1279aeec-75d6-46ab-89c1-69cb067d9aaf_input-input-1769306313178-lbvw9serc_png_jpg.rf.41361767492fa1a80e6afea73573cfe3.jpg", "expected": "bottom", "predicted": "bottom", "correct": true, "input_tokens": 1175, "output_tokens": 240, "elapsed_seconds": 4.996680708019994, "metadata": {"question": "Which of the three vertically stacked targets has an arrow stuck directly into its yellow center ring? Answer strictly with a positional word (e.g., top, middle, bottom).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.0238}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_231059", "index": 11, "image": "93441566-50c0-4bfb-9a31-437a2bc5e4f2_png_jpg.rf.76f710b9bae11e645b2e2f321c4c28c7.jpg", "expected": "Sanji", "predicted": "Sanji", "correct": true, "input_tokens": 1189, "output_tokens": 143, "elapsed_seconds": 3.541090000071563, "metadata": {"question": "What is the large white text printed directly below the word \"CHARACTER\" at the bottom of the card? Output the exact text as printed (e.g., \"Luffy\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.5573}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_231059", "index": 12, "image": "097f7d52-0fd1-4385-9ec4-65a9ee83d81b_input-input-1776852419339-bqf3nz0wx_png_jpg.rf.40fa273eb7f690671e9c0e59d85e7be5.jpg", "expected": "black", "predicted": "black", "correct": true, "input_tokens": 1164, "output_tokens": 603, "elapsed_seconds": 10.071595916058868, "metadata": {"question": "What color is the vehicle parked immediately to the left of the bright green car? Answer strictly with the lowercase color name.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.175}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_231059", "index": 13, "image": "25e6ed9c-2d37-4533-8021-977770aa97d1_input-input-1780691294811-oql9y0w9f_png_jpg.rf.c641fe7967e345c1802f26f48ff5ec25.jpg", "expected": "blue", "predicted": "blue", "correct": true, "input_tokens": 1182, "output_tokens": 241, "elapsed_seconds": 4.389514125068672, "metadata": {"question": "What is the primary color of the gas cylinders that occupy the majority of the truck bed? Answer strictly with the lowercase word 'blue' or 'green'.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.4416}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_231059", "index": 14, "image": "7073c8ac-b9a8-4916-a976-5097055bd4a2_input-input-1772183761136-f7du2lnk9_png_jpg.rf.a437e0bf4a8959fdd8424bec09d3f864.jpg", "expected": "4C", "predicted": "4C", "correct": true, "input_tokens": 1144, "output_tokens": 211, "elapsed_seconds": 5.604401582968421, "metadata": {"question": "What US size is printed on the white shoe label on the tongue? Output the size exactly as printed (e.g., 7Y).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.7286}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_231059", "index": 15, "image": "e060bfb7-df44-43fd-83e7-fd09ac632863_png_jpg.rf.f9d7b657fbf6487e431e4598bc34eb01.jpg", "expected": "Quatemberkinder", "predicted": "Quatemberkinder", "correct": true, "input_tokens": 1159, "output_tokens": 376, "elapsed_seconds": 6.153852957999334, "metadata": {"question": "What is the title of the book located directly to the left of the black-spined book \"THE GLASS CASTLE\"? Output the title exactly as printed on the spine (e.g., \"The Great Gatsby\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.2241}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_231059", "index": 16, "image": "1f2fe1d2-a6a6-4e60-a8e9-5a44e686ea1f_input-input-1779734721670-w5z71vx1i_png_jpg.rf.c777ed0d816ef9faedc3eb7e1f521d5a.jpg", "expected": "Puffs", "predicted": "Puffs", "correct": true, "input_tokens": 1171, "output_tokens": 553, "elapsed_seconds": 10.07464083400555, "metadata": {"question": "Which brand's box is located closest to the bottom edge of the black table? Output the brand name exactly as printed on the box.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.1443}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_231059", "index": 17, "image": "0212eb3d-e4b1-4ef4-9204-e920654bf677_input-input-1778110710064-oqhw5zz8j_png_jpg.rf.d60dbb42e49e957743af859ee42767f0.jpg", "expected": "Seagram's", "predicted": "Seagram's", "correct": true, "input_tokens": 1149, "output_tokens": 659, "elapsed_seconds": 9.223827500012703, "metadata": {"question": "Which brand of liquor is located directly to the left of the bright orange Glenmorangie box? Output the exact text found on the bottle's main upper label.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.3436}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_231059", "index": 18, "image": "2e15743f-6bc8-4cce-8ec0-66eea3a6ca2f_input-input-1779607392296-qwxxnltdb_png_jpg.rf.cb1d3d6cd6b04ff35f30afcd26ec0a54.jpg", "expected": "Tuc", "predicted": "TUC", "correct": true, "input_tokens": 1189, "output_tokens": 392, "elapsed_seconds": 6.862749958061613, "metadata": {"question": "Which brand of snack is located directly to the right of the Fiorentini package on the far left of the third row? Output the exact text found on the main label.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.8984}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_231059", "index": 19, "image": "1710a83d-1506-464e-83bf-f015141f1c37_input-input-1779171626146-78hoa3cju_png_jpg.rf.d99746d7404eb8a4900f9f714f0dbb68.jpg", "expected": "Appointment", "predicted": "Appointment", "correct": true, "input_tokens": 1177, "output_tokens": 329, "elapsed_seconds": 6.012572832987644, "metadata": {"question": "Which step in the horizontal progress tracker near the top of the page is currently active and marked with a filled blue circle? Output the exact text label of the active step.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.0266}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_231059", "index": 20, "image": "1710a83d-1506-464e-83bf-f015141f1c37_input-input-1779171626146-78hoa3cju_png_jpg.rf.d99746d7404eb8a4900f9f714f0dbb68.jpg", "expected": "blue", "predicted": "blue", "correct": true, "input_tokens": 1174, "output_tokens": 151, "elapsed_seconds": 3.175387041992508, "metadata": {"question": "What color is the background of the \"Continue\" button located at the bottom right corner of the interface? Answer strictly with the lowercase name of the color.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1895}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_231059", "index": 21, "image": "20c6f561-491b-44ca-a96a-8f6d926b8307_png_jpg.rf.d7a585c3f57932b5a082de3f1a393832.jpg", "expected": "green", "predicted": "green", "correct": true, "input_tokens": 1148, "output_tokens": 230, "elapsed_seconds": 4.837596875033341, "metadata": {"question": "What color is the illuminated circular button on the metal control panel at the top center? Answer strictly with the lowercase color name (e.g., yellow).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.8746}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_231059", "index": 22, "image": "ae20b44c-9be6-47a5-8002-2c417a2a2441_png_jpg.rf.831df5c9ebce5644f8482c403e349df4.jpg", "expected": "clockwise", "predicted": "clockwise", "correct": true, "input_tokens": 1168, "output_tokens": 230, "elapsed_seconds": 4.590364083996974, "metadata": {"question": "In which direction does the circular arrow inside the green \"SLEEVE\" recycling icon rotate? Answer strictly with a single lowercase word (e.g., clockwise).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.6007}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_231059", "index": 23, "image": "94f3adfa-0184-4872-8eb9-9f24e1a81a95_png_jpg.rf.e61cbf03dfc0c1c01510c48e93cdb983.jpg", "expected": "BOSS", "predicted": "BOSS", "correct": true, "input_tokens": 1182, "output_tokens": 161, "elapsed_seconds": 4.18887737498153, "metadata": {"question": "What is the sponsor name printed in white on the left side mirror winglet? Output the exact text as printed (e.g., \"ROLEX\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.2349}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_231059", "index": 24, "image": "94f3adfa-0184-4872-8eb9-9f24e1a81a95_png_jpg.rf.e61cbf03dfc0c1c01510c48e93cdb983.jpg", "expected": "LECLERC", "predicted": "LECLERC", "correct": true, "input_tokens": 1189, "output_tokens": 281, "elapsed_seconds": 5.091941124992445, "metadata": {"question": "Which driver's name is displayed in the timing panel directly to the right of Hamilton's panel? Output the exact name as printed (e.g., \"VERSTAPPEN\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.1408}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_231059", "index": 25, "image": "1b427858-f42b-4083-a3c7-09695ea0f3de_png_jpg.rf.4c978aae775eb6005121e9fdaf79a4c1.jpg", "expected": "E70-21-27-03-001", "predicted": "E70-21-27-03-001", "correct": true, "input_tokens": 1204, "output_tokens": 181, "elapsed_seconds": 14.072305875015445, "metadata": {"question": "Which E/C code is associated with the description \"FORWARD CARGO COMPARTMENT CHECK VALVE - OPERATIONAL TEST\" in the bottom section? Output the exact code as printed (e.g., E70-XX-XX-XX-XX).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 14.0911}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_231059", "index": 26, "image": "acc53733-7609-4a88-9125-d9671368e31c_png_jpg.rf.12c7cc10f331789e9443ed17a5069e81.jpg", "expected": "yellow", "predicted": "yellow", "correct": true, "input_tokens": 1188, "output_tokens": 284, "elapsed_seconds": 9.48637466703076, "metadata": {"question": "What color is the letter \"M\" displayed in the column to the right of the lap times on the leaderboard? Answer strictly with the lowercase color name (e.g., blue).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.5284}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_231059", "index": 27, "image": "0f07f712-f1ce-4b90-963e-7849862d827d_input-input-1779919148318-fedk52cp8_png_jpg.rf.4ca482cc2aba45b411de65cad76253e2.jpg", "expected": "red", "predicted": "red", "correct": true, "input_tokens": 1176, "output_tokens": 324, "elapsed_seconds": 4.908704416942783, "metadata": {"question": "What color is the rectangular brick located directly below the green 2x4 brick? Answer strictly with the lowercase color name.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.9426}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_231059", "index": 28, "image": "3250b041-2ce2-4500-a99d-6f95f5536be5_input-input-1779670032347-3m1xayuws_png_jpg.rf.95a4592009a0c672498005632e81c9d5.jpg", "expected": "checkered flag", "predicted": "Checkered flag", "correct": true, "input_tokens": 1153, "output_tokens": 182, "elapsed_seconds": 5.676658707903698, "metadata": {"question": " What specific racing-related object is depicted in the logo directly above the large number \"17\" on the tire? Answer with a short descriptive phrase.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.7469}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_231059", "index": 29, "image": "1a2826ae-6b4f-402d-871c-c99feec8673f_input-input-1773615096287-0i6s4vldj_png_jpg.rf.8ab2ade21a5b6f6dee2307de719eb877.jpg", "expected": "Enable two-factor authentication (2FA)", "predicted": "Enable two-factor authentication (2FA)", "correct": true, "input_tokens": 1184, "output_tokens": 136, "elapsed_seconds": 3.2390577079495415, "metadata": {"question": "What is the main heading centered above the progress indicator at the top of the screen? Output the text exactly as printed (e.g., Account Settings).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.2585}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_231059", "index": 30, "image": "bab22192-40dc-46bd-b314-ea08adf480e4_input-input-1768993566899-f1f6n85t5_png_jpg.rf.57bf3349d30203ce44bff8a502abf964.jpg", "expected": "Fisherbrand", "predicted": "Fisherbrand", "correct": true, "input_tokens": 1143, "output_tokens": 298, "elapsed_seconds": 6.012766125029884, "metadata": {"question": "What brand name is printed in large white text on the rightmost beaker? Output the text exactly as printed (e.g., Pyrex).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.0948}} +{"model": "gemini-4-argon", "effort": "high", "task": "identification", "timestamp": "20261012_231059", "index": 31, "image": "4f2b6aab-f1c1-4f16-b3ca-bbe4d399a897_input-input-1773381300920-0uaf4zno9_png_jpg.rf.cafad4b6eb9a3ec94667457e32e8b7f5.jpg", "expected": "strawberry", "predicted": "strawberry", "correct": true, "input_tokens": 1188, "output_tokens": 202, "elapsed_seconds": 5.732485458953306, "metadata": {"question": "What specific type of red fruit is present in both the loose rectangular metal container on the left and inside the small white portion bowls? Answer strictly with the lowercase singular name of the fruit.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.7855}} diff --git a/results/identification_gemini-4-argon_low_20261012_224142.jsonl b/results/identification_gemini-4-argon_low_20261012_224142.jsonl new file mode 100644 index 0000000..967409b --- /dev/null +++ b/results/identification_gemini-4-argon_low_20261012_224142.jsonl @@ -0,0 +1,32 @@ +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224142", "index": 0, "image": "3cd889b7-4626-47fe-af90-b98b2d5ffdfc_png_jpg.rf.5c5d4f21c762f72d90520cb6109cb09f.jpg", "expected": "THYRONORM 25 MCG", "predicted": "THYRONORM 25 MCG", "correct": true, "input_tokens": 1192, "output_tokens": 12, "elapsed_seconds": 4.060309124994092, "metadata": {"question": "Which medicine description is listed directly below \"TRAJENTA 5\" in the DESCRIPTION column? Output the exact text as printed in uppercase (e.g., THYRONORM 25 MCG).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.1339}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224142", "index": 1, "image": "17d4ef5a-1a26-408b-be0a-58c1dafeac60_input-input-1770908217014-bcp37tuu1_png_jpg.rf.9cea7c7b2576ac1d69d590779d8503b7.jpg", "expected": "phone", "predicted": "smartphone", "correct": true, "input_tokens": 1146, "output_tokens": 5, "elapsed_seconds": 2.8566654169699177, "metadata": {"question": "What type of electronic device is located in the top left corner of the suitcase? Answer strictly with a single lowercase word (e.g., tablet).", "strict_correct": false, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8804}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224142", "index": 2, "image": "17d4ef5a-1a26-408b-be0a-58c1dafeac60_input-input-1770908217014-bcp37tuu1_png_jpg.rf.9cea7c7b2576ac1d69d590779d8503b7.jpg", "expected": "gun", "predicted": "gun", "correct": true, "input_tokens": 1144, "output_tokens": 5, "elapsed_seconds": 3.6264210410881788, "metadata": {"question": "What type of weapon is located in the bottom left section of the bag? Answer strictly with a single lowercase word (e.g., knife).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.645}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224142", "index": 3, "image": "4cf40711-7419-4961-8920-88715c8b601f_input-input-1777166096829-s1ov2lkxh_png_jpg.rf.34eac53cd89940a961da242f1505b83a.jpg", "expected": "yellow", "predicted": "yellow", "correct": true, "input_tokens": 1179, "output_tokens": 5, "elapsed_seconds": 2.461889416910708, "metadata": {"question": "What color is the long, rectangular plate with four studs located near the center of the scattered pieces? Answer strictly with the lowercase color name.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.5177}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224142", "index": 4, "image": "4cf40711-7419-4961-8920-88715c8b601f_input-input-1777166096829-s1ov2lkxh_png_jpg.rf.34eac53cd89940a961da242f1505b83a.jpg", "expected": "lightsaber", "predicted": "lightsaber", "correct": true, "input_tokens": 1187, "output_tokens": 6, "elapsed_seconds": 3.0911378329619765, "metadata": {"question": "Several weapons are scattered in the image. Which specific weapon distinctly belongs to a sci-fi setting rather than a medieval theme? Answer strictly with the common lowercase name of the item.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1445}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224142", "index": 5, "image": "10560d19-89be-46e5-9c67-5bcd6fbe63fa_input-input-1778794839979-nzi2gvpcw_png_jpg.rf.59aede2d1a7b1d753dab3e55af9bec36.jpg", "expected": "kPa", "predicted": "kPa", "correct": true, "input_tokens": 1180, "output_tokens": 6, "elapsed_seconds": 2.6474397499114275, "metadata": {"question": "Which unit of measurement is printed on the dial of the gauge positioned furthest to the right on the blue pipe? Output the exact text as printed.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.6934}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224142", "index": 6, "image": "cc68304c-144a-4975-a93a-d8efa85db6ed_input-input-1769095484858-rohdg9mmc_png_jpg.rf.af1b26038a5e163c931dc4e983f53a56.jpg", "expected": "Yoplait", "predicted": "Yoplait", "correct": true, "input_tokens": 1169, "output_tokens": 7, "elapsed_seconds": 2.809174499940127, "metadata": {"question": "What brand name is printed on the yogurt labels? Output the exact text exactly as printed.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8682}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224142", "index": 7, "image": "c3f661e1-1ce5-4c6b-ba39-f052aa469ae2_input-input-1780892587755-2dtxi0at3_png_jpg.rf.20b39c22d4076f012a024e6dc30f9a9a.jpg", "expected": "pencil", "predicted": "pencil", "correct": true, "input_tokens": 1159, "output_tokens": 5, "elapsed_seconds": 3.2698078750399873, "metadata": {"question": "What object is shown on the small brown edit button overlapping the circular profile photo? Answer strictly with a lowercase singular noun (e.g., camera).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.2895}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224142", "index": 8, "image": "1478f318-0372-4bbb-bf28-6cab8c447a59_input-input-1771868885484-ua18hynnb_png_jpg.rf.4ad7f50638ebe01dc084da1b0f1ad471.jpg", "expected": "M&M's", "predicted": "M&M'S", "correct": true, "input_tokens": 1146, "output_tokens": 9, "elapsed_seconds": 3.1234977500280365, "metadata": {"question": "Which candy brand appears in two different flavor versions in the machine? Output the exact brand name as printed on the wrapper (e.g., Snickers).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1923}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224142", "index": 9, "image": "1478f318-0372-4bbb-bf28-6cab8c447a59_input-input-1771868885484-ua18hynnb_png_jpg.rf.4ad7f50638ebe01dc084da1b0f1ad471.jpg", "expected": "SNICKERS", "predicted": "M&M's", "correct": false, "input_tokens": 1149, "output_tokens": 9, "elapsed_seconds": 3.588535250048153, "metadata": {"question": "Which brand of candy has the most packages visible in the machine? Output the exact brand name as printed on the wrapper (e.g., M&M's).", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 3.6568}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224142", "index": 10, "image": "1279aeec-75d6-46ab-89c1-69cb067d9aaf_input-input-1769306313178-lbvw9serc_png_jpg.rf.41361767492fa1a80e6afea73573cfe3.jpg", "expected": "bottom", "predicted": "bottom", "correct": true, "input_tokens": 1175, "output_tokens": 5, "elapsed_seconds": 3.090133708086796, "metadata": {"question": "Which of the three vertically stacked targets has an arrow stuck directly into its yellow center ring? Answer strictly with a positional word (e.g., top, middle, bottom).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.117}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224142", "index": 11, "image": "93441566-50c0-4bfb-9a31-437a2bc5e4f2_png_jpg.rf.76f710b9bae11e645b2e2f321c4c28c7.jpg", "expected": "Sanji", "predicted": "Sanji", "correct": true, "input_tokens": 1189, "output_tokens": 6, "elapsed_seconds": 2.716562000103295, "metadata": {"question": "What is the large white text printed directly below the word \"CHARACTER\" at the bottom of the card? Output the exact text as printed (e.g., \"Luffy\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7334}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224142", "index": 12, "image": "097f7d52-0fd1-4385-9ec4-65a9ee83d81b_input-input-1776852419339-bqf3nz0wx_png_jpg.rf.40fa273eb7f690671e9c0e59d85e7be5.jpg", "expected": "black", "predicted": "black", "correct": true, "input_tokens": 1164, "output_tokens": 5, "elapsed_seconds": 3.679407999967225, "metadata": {"question": "What color is the vehicle parked immediately to the left of the bright green car? Answer strictly with the lowercase color name.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.7843}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224142", "index": 13, "image": "25e6ed9c-2d37-4533-8021-977770aa97d1_input-input-1780691294811-oql9y0w9f_png_jpg.rf.c641fe7967e345c1802f26f48ff5ec25.jpg", "expected": "blue", "predicted": "blue", "correct": true, "input_tokens": 1182, "output_tokens": 5, "elapsed_seconds": 2.7352181249298155, "metadata": {"question": "What is the primary color of the gas cylinders that occupy the majority of the truck bed? Answer strictly with the lowercase word 'blue' or 'green'.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.789}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224142", "index": 14, "image": "7073c8ac-b9a8-4916-a976-5097055bd4a2_input-input-1772183761136-f7du2lnk9_png_jpg.rf.a437e0bf4a8959fdd8424bec09d3f864.jpg", "expected": "4C", "predicted": "4C", "correct": true, "input_tokens": 1144, "output_tokens": 6, "elapsed_seconds": 4.434403749997728, "metadata": {"question": "What US size is printed on the white shoe label on the tongue? Output the size exactly as printed (e.g., 7Y).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.5593}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224142", "index": 15, "image": "e060bfb7-df44-43fd-83e7-fd09ac632863_png_jpg.rf.f9d7b657fbf6487e431e4598bc34eb01.jpg", "expected": "Quatemberkinder", "predicted": "Quatemberkinder", "correct": true, "input_tokens": 1159, "output_tokens": 9, "elapsed_seconds": 2.9831659159390256, "metadata": {"question": "What is the title of the book located directly to the left of the black-spined book \"THE GLASS CASTLE\"? Output the title exactly as printed on the spine (e.g., \"The Great Gatsby\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.0542}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224142", "index": 16, "image": "1f2fe1d2-a6a6-4e60-a8e9-5a44e686ea1f_input-input-1779734721670-w5z71vx1i_png_jpg.rf.c777ed0d816ef9faedc3eb7e1f521d5a.jpg", "expected": "Puffs", "predicted": "Puffs", "correct": true, "input_tokens": 1171, "output_tokens": 6, "elapsed_seconds": 2.935181667096913, "metadata": {"question": "Which brand's box is located closest to the bottom edge of the black table? Output the brand name exactly as printed on the box.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.004}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224142", "index": 17, "image": "0212eb3d-e4b1-4ef4-9204-e920654bf677_input-input-1778110710064-oqhw5zz8j_png_jpg.rf.d60dbb42e49e957743af859ee42767f0.jpg", "expected": "Seagram's", "predicted": "Seagram's 7", "correct": false, "input_tokens": 1149, "output_tokens": 10, "elapsed_seconds": 12.385986250010319, "metadata": {"question": "Which brand of liquor is located directly to the left of the bright orange Glenmorangie box? Output the exact text found on the bottle's main upper label.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 12.5072}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224142", "index": 18, "image": "2e15743f-6bc8-4cce-8ec0-66eea3a6ca2f_input-input-1779607392296-qwxxnltdb_png_jpg.rf.cb1d3d6cd6b04ff35f30afcd26ec0a54.jpg", "expected": "Tuc", "predicted": "TUC", "correct": true, "input_tokens": 1189, "output_tokens": 6, "elapsed_seconds": 2.21836437494494, "metadata": {"question": "Which brand of snack is located directly to the right of the Fiorentini package on the far left of the third row? Output the exact text found on the main label.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.2557}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224142", "index": 19, "image": "1710a83d-1506-464e-83bf-f015141f1c37_input-input-1779171626146-78hoa3cju_png_jpg.rf.d99746d7404eb8a4900f9f714f0dbb68.jpg", "expected": "Appointment", "predicted": "Appointment", "correct": true, "input_tokens": 1177, "output_tokens": 5, "elapsed_seconds": 2.76367229106836, "metadata": {"question": "Which step in the horizontal progress tracker near the top of the page is currently active and marked with a filled blue circle? Output the exact text label of the active step.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7792}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224142", "index": 20, "image": "1710a83d-1506-464e-83bf-f015141f1c37_input-input-1779171626146-78hoa3cju_png_jpg.rf.d99746d7404eb8a4900f9f714f0dbb68.jpg", "expected": "blue", "predicted": "blue", "correct": true, "input_tokens": 1174, "output_tokens": 5, "elapsed_seconds": 2.50934412505012, "metadata": {"question": "What color is the background of the \"Continue\" button located at the bottom right corner of the interface? Answer strictly with the lowercase name of the color.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.5259}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224142", "index": 21, "image": "20c6f561-491b-44ca-a96a-8f6d926b8307_png_jpg.rf.d7a585c3f57932b5a082de3f1a393832.jpg", "expected": "green", "predicted": "green", "correct": true, "input_tokens": 1148, "output_tokens": 5, "elapsed_seconds": 2.6650525419972837, "metadata": {"question": "What color is the illuminated circular button on the metal control panel at the top center? Answer strictly with the lowercase color name (e.g., yellow).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7015}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224142", "index": 22, "image": "ae20b44c-9be6-47a5-8002-2c417a2a2441_png_jpg.rf.831df5c9ebce5644f8482c403e349df4.jpg", "expected": "clockwise", "predicted": "clockwise", "correct": true, "input_tokens": 1168, "output_tokens": 5, "elapsed_seconds": 2.50499983294867, "metadata": {"question": "In which direction does the circular arrow inside the green \"SLEEVE\" recycling icon rotate? Answer strictly with a single lowercase word (e.g., clockwise).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.5153}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224142", "index": 23, "image": "94f3adfa-0184-4872-8eb9-9f24e1a81a95_png_jpg.rf.e61cbf03dfc0c1c01510c48e93cdb983.jpg", "expected": "BOSS", "predicted": "BOSS", "correct": true, "input_tokens": 1182, "output_tokens": 5, "elapsed_seconds": 3.3699135000351816, "metadata": {"question": "What is the sponsor name printed in white on the left side mirror winglet? Output the exact text as printed (e.g., \"ROLEX\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.4181}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224142", "index": 24, "image": "94f3adfa-0184-4872-8eb9-9f24e1a81a95_png_jpg.rf.e61cbf03dfc0c1c01510c48e93cdb983.jpg", "expected": "LECLERC", "predicted": "LECLERC", "correct": true, "input_tokens": 1189, "output_tokens": 7, "elapsed_seconds": 3.6761610829271376, "metadata": {"question": "Which driver's name is displayed in the timing panel directly to the right of Hamilton's panel? Output the exact name as printed (e.g., \"VERSTAPPEN\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.7257}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224142", "index": 25, "image": "1b427858-f42b-4083-a3c7-09695ea0f3de_png_jpg.rf.4c978aae775eb6005121e9fdaf79a4c1.jpg", "expected": "E70-21-27-03-001", "predicted": "E70-21-27-03-001", "correct": true, "input_tokens": 1204, "output_tokens": 20, "elapsed_seconds": 3.67761699995026, "metadata": {"question": "Which E/C code is associated with the description \"FORWARD CARGO COMPARTMENT CHECK VALVE - OPERATIONAL TEST\" in the bottom section? Output the exact code as printed (e.g., E70-XX-XX-XX-XX).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.6967}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224142", "index": 26, "image": "acc53733-7609-4a88-9125-d9671368e31c_png_jpg.rf.12c7cc10f331789e9443ed17a5069e81.jpg", "expected": "yellow", "predicted": "yellow", "correct": true, "input_tokens": 1188, "output_tokens": 5, "elapsed_seconds": 2.8208308749599382, "metadata": {"question": "What color is the letter \"M\" displayed in the column to the right of the lap times on the leaderboard? Answer strictly with the lowercase color name (e.g., blue).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9014}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224142", "index": 27, "image": "0f07f712-f1ce-4b90-963e-7849862d827d_input-input-1779919148318-fedk52cp8_png_jpg.rf.4ca482cc2aba45b411de65cad76253e2.jpg", "expected": "red", "predicted": "red", "correct": true, "input_tokens": 1176, "output_tokens": 5, "elapsed_seconds": 2.8700529999332502, "metadata": {"question": "What color is the rectangular brick located directly below the green 2x4 brick? Answer strictly with the lowercase color name.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9045}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224142", "index": 28, "image": "3250b041-2ce2-4500-a99d-6f95f5536be5_input-input-1779670032347-3m1xayuws_png_jpg.rf.95a4592009a0c672498005632e81c9d5.jpg", "expected": "checkered flag", "predicted": "A checkered flag", "correct": true, "input_tokens": 1153, "output_tokens": 7, "elapsed_seconds": 2.972119041951373, "metadata": {"question": " What specific racing-related object is depicted in the logo directly above the large number \"17\" on the tire? Answer with a short descriptive phrase.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.0445}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224142", "index": 29, "image": "1a2826ae-6b4f-402d-871c-c99feec8673f_input-input-1773615096287-0i6s4vldj_png_jpg.rf.8ab2ade21a5b6f6dee2307de719eb877.jpg", "expected": "Enable two-factor authentication (2FA)", "predicted": "Enable two-factor authentication (2FA)", "correct": true, "input_tokens": 1184, "output_tokens": 13, "elapsed_seconds": 3.0708073750138283, "metadata": {"question": "What is the main heading centered above the progress indicator at the top of the screen? Output the text exactly as printed (e.g., Account Settings).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.0907}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224142", "index": 30, "image": "bab22192-40dc-46bd-b314-ea08adf480e4_input-input-1768993566899-f1f6n85t5_png_jpg.rf.57bf3349d30203ce44bff8a502abf964.jpg", "expected": "Fisherbrand", "predicted": "Fisherbrand", "correct": true, "input_tokens": 1143, "output_tokens": 6, "elapsed_seconds": 4.822086542029865, "metadata": {"question": "What brand name is printed in large white text on the rightmost beaker? Output the text exactly as printed (e.g., Pyrex).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.9015}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224142", "index": 31, "image": "4f2b6aab-f1c1-4f16-b3ca-bbe4d399a897_input-input-1773381300920-0uaf4zno9_png_jpg.rf.cafad4b6eb9a3ec94667457e32e8b7f5.jpg", "expected": "strawberry", "predicted": "strawberry", "correct": true, "input_tokens": 1188, "output_tokens": 5, "elapsed_seconds": 2.909321125014685, "metadata": {"question": "What specific type of red fruit is present in both the loose rectangular metal container on the left and inside the small white portion bowls? Answer strictly with the lowercase singular name of the fruit.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9614}} diff --git a/results/identification_gemini-4-argon_low_20261012_224146.jsonl b/results/identification_gemini-4-argon_low_20261012_224146.jsonl new file mode 100644 index 0000000..2539d19 --- /dev/null +++ b/results/identification_gemini-4-argon_low_20261012_224146.jsonl @@ -0,0 +1,32 @@ +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224146", "index": 0, "image": "3cd889b7-4626-47fe-af90-b98b2d5ffdfc_png_jpg.rf.5c5d4f21c762f72d90520cb6109cb09f.jpg", "expected": "THYRONORM 25 MCG", "predicted": "THYRONORM 25 MCG", "correct": true, "input_tokens": 1192, "output_tokens": 12, "elapsed_seconds": 3.522697874926962, "metadata": {"question": "Which medicine description is listed directly below \"TRAJENTA 5\" in the DESCRIPTION column? Output the exact text as printed in uppercase (e.g., THYRONORM 25 MCG).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.5969}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224146", "index": 1, "image": "17d4ef5a-1a26-408b-be0a-58c1dafeac60_input-input-1770908217014-bcp37tuu1_png_jpg.rf.9cea7c7b2576ac1d69d590779d8503b7.jpg", "expected": "phone", "predicted": "smartphone", "correct": true, "input_tokens": 1146, "output_tokens": 5, "elapsed_seconds": 2.6311159169999883, "metadata": {"question": "What type of electronic device is located in the top left corner of the suitcase? Answer strictly with a single lowercase word (e.g., tablet).", "strict_correct": false, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.6547}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224146", "index": 2, "image": "17d4ef5a-1a26-408b-be0a-58c1dafeac60_input-input-1770908217014-bcp37tuu1_png_jpg.rf.9cea7c7b2576ac1d69d590779d8503b7.jpg", "expected": "gun", "predicted": "gun", "correct": true, "input_tokens": 1144, "output_tokens": 5, "elapsed_seconds": 3.353384207934141, "metadata": {"question": "What type of weapon is located in the bottom left section of the bag? Answer strictly with a single lowercase word (e.g., knife).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.3724}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224146", "index": 3, "image": "4cf40711-7419-4961-8920-88715c8b601f_input-input-1777166096829-s1ov2lkxh_png_jpg.rf.34eac53cd89940a961da242f1505b83a.jpg", "expected": "yellow", "predicted": "yellow", "correct": true, "input_tokens": 1179, "output_tokens": 5, "elapsed_seconds": 2.628520334023051, "metadata": {"question": "What color is the long, rectangular plate with four studs located near the center of the scattered pieces? Answer strictly with the lowercase color name.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.6828}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224146", "index": 4, "image": "4cf40711-7419-4961-8920-88715c8b601f_input-input-1777166096829-s1ov2lkxh_png_jpg.rf.34eac53cd89940a961da242f1505b83a.jpg", "expected": "lightsaber", "predicted": "lightsaber", "correct": true, "input_tokens": 1187, "output_tokens": 6, "elapsed_seconds": 5.580475750030018, "metadata": {"question": "Several weapons are scattered in the image. Which specific weapon distinctly belongs to a sci-fi setting rather than a medieval theme? Answer strictly with the common lowercase name of the item.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.6379}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224146", "index": 5, "image": "10560d19-89be-46e5-9c67-5bcd6fbe63fa_input-input-1778794839979-nzi2gvpcw_png_jpg.rf.59aede2d1a7b1d753dab3e55af9bec36.jpg", "expected": "kPa", "predicted": "kPa", "correct": true, "input_tokens": 1180, "output_tokens": 6, "elapsed_seconds": 4.836349415942095, "metadata": {"question": "Which unit of measurement is printed on the dial of the gauge positioned furthest to the right on the blue pipe? Output the exact text as printed.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.883}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224146", "index": 6, "image": "cc68304c-144a-4975-a93a-d8efa85db6ed_input-input-1769095484858-rohdg9mmc_png_jpg.rf.af1b26038a5e163c931dc4e983f53a56.jpg", "expected": "Yoplait", "predicted": "Yoplait", "correct": true, "input_tokens": 1169, "output_tokens": 7, "elapsed_seconds": 3.2011847919784486, "metadata": {"question": "What brand name is printed on the yogurt labels? Output the exact text exactly as printed.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.2592}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224146", "index": 7, "image": "c3f661e1-1ce5-4c6b-ba39-f052aa469ae2_input-input-1780892587755-2dtxi0at3_png_jpg.rf.20b39c22d4076f012a024e6dc30f9a9a.jpg", "expected": "pencil", "predicted": "pencil", "correct": true, "input_tokens": 1159, "output_tokens": 5, "elapsed_seconds": 2.15688612498343, "metadata": {"question": "What object is shown on the small brown edit button overlapping the circular profile photo? Answer strictly with a lowercase singular noun (e.g., camera).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.1741}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224146", "index": 8, "image": "1478f318-0372-4bbb-bf28-6cab8c447a59_input-input-1771868885484-ua18hynnb_png_jpg.rf.4ad7f50638ebe01dc084da1b0f1ad471.jpg", "expected": "M&M's", "predicted": "M&M's", "correct": true, "input_tokens": 1146, "output_tokens": 9, "elapsed_seconds": 11.546287791104987, "metadata": {"question": "Which candy brand appears in two different flavor versions in the machine? Output the exact brand name as printed on the wrapper (e.g., Snickers).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.6151}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224146", "index": 9, "image": "1478f318-0372-4bbb-bf28-6cab8c447a59_input-input-1771868885484-ua18hynnb_png_jpg.rf.4ad7f50638ebe01dc084da1b0f1ad471.jpg", "expected": "SNICKERS", "predicted": "M&M's", "correct": false, "input_tokens": 1149, "output_tokens": 9, "elapsed_seconds": 4.725503416033462, "metadata": {"question": "Which brand of candy has the most packages visible in the machine? Output the exact brand name as printed on the wrapper (e.g., M&M's).", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 4.8045}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224146", "index": 10, "image": "1279aeec-75d6-46ab-89c1-69cb067d9aaf_input-input-1769306313178-lbvw9serc_png_jpg.rf.41361767492fa1a80e6afea73573cfe3.jpg", "expected": "bottom", "predicted": "bottom", "correct": true, "input_tokens": 1175, "output_tokens": 5, "elapsed_seconds": 3.5234517919598147, "metadata": {"question": "Which of the three vertically stacked targets has an arrow stuck directly into its yellow center ring? Answer strictly with a positional word (e.g., top, middle, bottom).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.5509}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224146", "index": 11, "image": "93441566-50c0-4bfb-9a31-437a2bc5e4f2_png_jpg.rf.76f710b9bae11e645b2e2f321c4c28c7.jpg", "expected": "Sanji", "predicted": "Sanji", "correct": true, "input_tokens": 1189, "output_tokens": 6, "elapsed_seconds": 2.240318417083472, "metadata": {"question": "What is the large white text printed directly below the word \"CHARACTER\" at the bottom of the card? Output the exact text as printed (e.g., \"Luffy\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.2534}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224146", "index": 12, "image": "097f7d52-0fd1-4385-9ec4-65a9ee83d81b_input-input-1776852419339-bqf3nz0wx_png_jpg.rf.40fa273eb7f690671e9c0e59d85e7be5.jpg", "expected": "black", "predicted": "black", "correct": true, "input_tokens": 1164, "output_tokens": 5, "elapsed_seconds": 4.683880666969344, "metadata": {"question": "What color is the vehicle parked immediately to the left of the bright green car? Answer strictly with the lowercase color name.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.7864}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224146", "index": 13, "image": "25e6ed9c-2d37-4533-8021-977770aa97d1_input-input-1780691294811-oql9y0w9f_png_jpg.rf.c641fe7967e345c1802f26f48ff5ec25.jpg", "expected": "blue", "predicted": "blue", "correct": true, "input_tokens": 1182, "output_tokens": 5, "elapsed_seconds": 3.0088959169806913, "metadata": {"question": "What is the primary color of the gas cylinders that occupy the majority of the truck bed? Answer strictly with the lowercase word 'blue' or 'green'.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.0609}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224146", "index": 14, "image": "7073c8ac-b9a8-4916-a976-5097055bd4a2_input-input-1772183761136-f7du2lnk9_png_jpg.rf.a437e0bf4a8959fdd8424bec09d3f864.jpg", "expected": "4C", "predicted": "4C", "correct": true, "input_tokens": 1144, "output_tokens": 6, "elapsed_seconds": 13.207312542013824, "metadata": {"question": "What US size is printed on the white shoe label on the tongue? Output the size exactly as printed (e.g., 7Y).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 13.3325}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224146", "index": 15, "image": "e060bfb7-df44-43fd-83e7-fd09ac632863_png_jpg.rf.f9d7b657fbf6487e431e4598bc34eb01.jpg", "expected": "Quatemberkinder", "predicted": "Quatemberkinder", "correct": true, "input_tokens": 1159, "output_tokens": 9, "elapsed_seconds": 3.991515792091377, "metadata": {"question": "What is the title of the book located directly to the left of the black-spined book \"THE GLASS CASTLE\"? Output the title exactly as printed on the spine (e.g., \"The Great Gatsby\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.0633}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224146", "index": 16, "image": "1f2fe1d2-a6a6-4e60-a8e9-5a44e686ea1f_input-input-1779734721670-w5z71vx1i_png_jpg.rf.c777ed0d816ef9faedc3eb7e1f521d5a.jpg", "expected": "Puffs", "predicted": "Puffs", "correct": true, "input_tokens": 1171, "output_tokens": 6, "elapsed_seconds": 3.3363904169527814, "metadata": {"question": "Which brand's box is located closest to the bottom edge of the black table? Output the brand name exactly as printed on the box.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.4034}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224146", "index": 17, "image": "0212eb3d-e4b1-4ef4-9204-e920654bf677_input-input-1778110710064-oqhw5zz8j_png_jpg.rf.d60dbb42e49e957743af859ee42767f0.jpg", "expected": "Seagram's", "predicted": "Seagram's 7", "correct": false, "input_tokens": 1149, "output_tokens": 10, "elapsed_seconds": 5.028643541038036, "metadata": {"question": "Which brand of liquor is located directly to the left of the bright orange Glenmorangie box? Output the exact text found on the bottle's main upper label.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 5.1474}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224146", "index": 18, "image": "2e15743f-6bc8-4cce-8ec0-66eea3a6ca2f_input-input-1779607392296-qwxxnltdb_png_jpg.rf.cb1d3d6cd6b04ff35f30afcd26ec0a54.jpg", "expected": "Tuc", "predicted": "TUC", "correct": true, "input_tokens": 1189, "output_tokens": 6, "elapsed_seconds": 3.2644722500117496, "metadata": {"question": "Which brand of snack is located directly to the right of the Fiorentini package on the far left of the third row? Output the exact text found on the main label.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.3003}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224146", "index": 19, "image": "1710a83d-1506-464e-83bf-f015141f1c37_input-input-1779171626146-78hoa3cju_png_jpg.rf.d99746d7404eb8a4900f9f714f0dbb68.jpg", "expected": "Appointment", "predicted": "Appointment", "correct": true, "input_tokens": 1177, "output_tokens": 5, "elapsed_seconds": 2.9844650839222595, "metadata": {"question": "Which step in the horizontal progress tracker near the top of the page is currently active and marked with a filled blue circle? Output the exact text label of the active step.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9995}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224146", "index": 20, "image": "1710a83d-1506-464e-83bf-f015141f1c37_input-input-1779171626146-78hoa3cju_png_jpg.rf.d99746d7404eb8a4900f9f714f0dbb68.jpg", "expected": "blue", "predicted": "blue", "correct": true, "input_tokens": 1174, "output_tokens": 5, "elapsed_seconds": 3.1149268329609185, "metadata": {"question": "What color is the background of the \"Continue\" button located at the bottom right corner of the interface? Answer strictly with the lowercase name of the color.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1292}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224146", "index": 21, "image": "20c6f561-491b-44ca-a96a-8f6d926b8307_png_jpg.rf.d7a585c3f57932b5a082de3f1a393832.jpg", "expected": "green", "predicted": "green", "correct": true, "input_tokens": 1148, "output_tokens": 5, "elapsed_seconds": 2.939399707945995, "metadata": {"question": "What color is the illuminated circular button on the metal control panel at the top center? Answer strictly with the lowercase color name (e.g., yellow).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9768}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224146", "index": 22, "image": "ae20b44c-9be6-47a5-8002-2c417a2a2441_png_jpg.rf.831df5c9ebce5644f8482c403e349df4.jpg", "expected": "clockwise", "predicted": "clockwise", "correct": true, "input_tokens": 1168, "output_tokens": 5, "elapsed_seconds": 2.1083289589732885, "metadata": {"question": "In which direction does the circular arrow inside the green \"SLEEVE\" recycling icon rotate? Answer strictly with a single lowercase word (e.g., clockwise).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.1188}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224146", "index": 23, "image": "94f3adfa-0184-4872-8eb9-9f24e1a81a95_png_jpg.rf.e61cbf03dfc0c1c01510c48e93cdb983.jpg", "expected": "BOSS", "predicted": "BOSS", "correct": true, "input_tokens": 1182, "output_tokens": 5, "elapsed_seconds": 3.273626417038031, "metadata": {"question": "What is the sponsor name printed in white on the left side mirror winglet? Output the exact text as printed (e.g., \"ROLEX\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.3673}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224146", "index": 24, "image": "94f3adfa-0184-4872-8eb9-9f24e1a81a95_png_jpg.rf.e61cbf03dfc0c1c01510c48e93cdb983.jpg", "expected": "LECLERC", "predicted": "LECLERC", "correct": true, "input_tokens": 1189, "output_tokens": 7, "elapsed_seconds": 3.8201630410039797, "metadata": {"question": "Which driver's name is displayed in the timing panel directly to the right of Hamilton's panel? Output the exact name as printed (e.g., \"VERSTAPPEN\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.9133}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224146", "index": 25, "image": "1b427858-f42b-4083-a3c7-09695ea0f3de_png_jpg.rf.4c978aae775eb6005121e9fdaf79a4c1.jpg", "expected": "E70-21-27-03-001", "predicted": "E70-21-27-03-001", "correct": true, "input_tokens": 1204, "output_tokens": 20, "elapsed_seconds": 3.25839274993632, "metadata": {"question": "Which E/C code is associated with the description \"FORWARD CARGO COMPARTMENT CHECK VALVE - OPERATIONAL TEST\" in the bottom section? Output the exact code as printed (e.g., E70-XX-XX-XX-XX).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.2774}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224146", "index": 26, "image": "acc53733-7609-4a88-9125-d9671368e31c_png_jpg.rf.12c7cc10f331789e9443ed17a5069e81.jpg", "expected": "yellow", "predicted": "yellow", "correct": true, "input_tokens": 1188, "output_tokens": 5, "elapsed_seconds": 2.8507589999353513, "metadata": {"question": "What color is the letter \"M\" displayed in the column to the right of the lap times on the leaderboard? Answer strictly with the lowercase color name (e.g., blue).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8922}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224146", "index": 27, "image": "0f07f712-f1ce-4b90-963e-7849862d827d_input-input-1779919148318-fedk52cp8_png_jpg.rf.4ca482cc2aba45b411de65cad76253e2.jpg", "expected": "red", "predicted": "red", "correct": true, "input_tokens": 1176, "output_tokens": 5, "elapsed_seconds": 2.63315349991899, "metadata": {"question": "What color is the rectangular brick located directly below the green 2x4 brick? Answer strictly with the lowercase color name.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.6658}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224146", "index": 28, "image": "3250b041-2ce2-4500-a99d-6f95f5536be5_input-input-1779670032347-3m1xayuws_png_jpg.rf.95a4592009a0c672498005632e81c9d5.jpg", "expected": "checkered flag", "predicted": "Checkered flag", "correct": true, "input_tokens": 1153, "output_tokens": 7, "elapsed_seconds": 10.900968124973588, "metadata": {"question": " What specific racing-related object is depicted in the logo directly above the large number \"17\" on the tire? Answer with a short descriptive phrase.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.97}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224146", "index": 29, "image": "1a2826ae-6b4f-402d-871c-c99feec8673f_input-input-1773615096287-0i6s4vldj_png_jpg.rf.8ab2ade21a5b6f6dee2307de719eb877.jpg", "expected": "Enable two-factor authentication (2FA)", "predicted": "Enable two-factor authentication (2FA)", "correct": true, "input_tokens": 1184, "output_tokens": 13, "elapsed_seconds": 3.0514657080639154, "metadata": {"question": "What is the main heading centered above the progress indicator at the top of the screen? Output the text exactly as printed (e.g., Account Settings).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.0702}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224146", "index": 30, "image": "bab22192-40dc-46bd-b314-ea08adf480e4_input-input-1768993566899-f1f6n85t5_png_jpg.rf.57bf3349d30203ce44bff8a502abf964.jpg", "expected": "Fisherbrand", "predicted": "Fisherbrand", "correct": true, "input_tokens": 1143, "output_tokens": 6, "elapsed_seconds": 2.883937375037931, "metadata": {"question": "What brand name is printed in large white text on the rightmost beaker? Output the text exactly as printed (e.g., Pyrex).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9614}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224146", "index": 31, "image": "4f2b6aab-f1c1-4f16-b3ca-bbe4d399a897_input-input-1773381300920-0uaf4zno9_png_jpg.rf.cafad4b6eb9a3ec94667457e32e8b7f5.jpg", "expected": "strawberry", "predicted": "strawberry", "correct": true, "input_tokens": 1188, "output_tokens": 5, "elapsed_seconds": 2.5445156660862267, "metadata": {"question": "What specific type of red fruit is present in both the loose rectangular metal container on the left and inside the small white portion bowls? Answer strictly with the lowercase singular name of the fruit.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.5929}} diff --git a/results/identification_gemini-4-argon_low_20261012_224148.jsonl b/results/identification_gemini-4-argon_low_20261012_224148.jsonl new file mode 100644 index 0000000..7707b64 --- /dev/null +++ b/results/identification_gemini-4-argon_low_20261012_224148.jsonl @@ -0,0 +1,32 @@ +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224148", "index": 0, "image": "3cd889b7-4626-47fe-af90-b98b2d5ffdfc_png_jpg.rf.5c5d4f21c762f72d90520cb6109cb09f.jpg", "expected": "THYRONORM 25 MCG", "predicted": "THYRONORM 25 MCG", "correct": true, "input_tokens": 1192, "output_tokens": 12, "elapsed_seconds": 3.463578417082317, "metadata": {"question": "Which medicine description is listed directly below \"TRAJENTA 5\" in the DESCRIPTION column? Output the exact text as printed in uppercase (e.g., THYRONORM 25 MCG).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.5347}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224148", "index": 1, "image": "17d4ef5a-1a26-408b-be0a-58c1dafeac60_input-input-1770908217014-bcp37tuu1_png_jpg.rf.9cea7c7b2576ac1d69d590779d8503b7.jpg", "expected": "phone", "predicted": "smartphone", "correct": true, "input_tokens": 1146, "output_tokens": 5, "elapsed_seconds": 4.734017415903509, "metadata": {"question": "What type of electronic device is located in the top left corner of the suitcase? Answer strictly with a single lowercase word (e.g., tablet).", "strict_correct": false, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.7579}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224148", "index": 2, "image": "17d4ef5a-1a26-408b-be0a-58c1dafeac60_input-input-1770908217014-bcp37tuu1_png_jpg.rf.9cea7c7b2576ac1d69d590779d8503b7.jpg", "expected": "gun", "predicted": "gun", "correct": true, "input_tokens": 1144, "output_tokens": 5, "elapsed_seconds": 3.215006166952662, "metadata": {"question": "What type of weapon is located in the bottom left section of the bag? Answer strictly with a single lowercase word (e.g., knife).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.2337}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224148", "index": 3, "image": "4cf40711-7419-4961-8920-88715c8b601f_input-input-1777166096829-s1ov2lkxh_png_jpg.rf.34eac53cd89940a961da242f1505b83a.jpg", "expected": "yellow", "predicted": "yellow", "correct": true, "input_tokens": 1179, "output_tokens": 5, "elapsed_seconds": 3.0066186250187457, "metadata": {"question": "What color is the long, rectangular plate with four studs located near the center of the scattered pieces? Answer strictly with the lowercase color name.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.0599}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224148", "index": 4, "image": "4cf40711-7419-4961-8920-88715c8b601f_input-input-1777166096829-s1ov2lkxh_png_jpg.rf.34eac53cd89940a961da242f1505b83a.jpg", "expected": "lightsaber", "predicted": "lightsaber", "correct": true, "input_tokens": 1187, "output_tokens": 6, "elapsed_seconds": 2.659508957993239, "metadata": {"question": "Several weapons are scattered in the image. Which specific weapon distinctly belongs to a sci-fi setting rather than a medieval theme? Answer strictly with the common lowercase name of the item.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7165}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224148", "index": 5, "image": "10560d19-89be-46e5-9c67-5bcd6fbe63fa_input-input-1778794839979-nzi2gvpcw_png_jpg.rf.59aede2d1a7b1d753dab3e55af9bec36.jpg", "expected": "kPa", "predicted": "kPa", "correct": true, "input_tokens": 1180, "output_tokens": 6, "elapsed_seconds": 2.612087415996939, "metadata": {"question": "Which unit of measurement is printed on the dial of the gauge positioned furthest to the right on the blue pipe? Output the exact text as printed.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.6608}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224148", "index": 6, "image": "cc68304c-144a-4975-a93a-d8efa85db6ed_input-input-1769095484858-rohdg9mmc_png_jpg.rf.af1b26038a5e163c931dc4e983f53a56.jpg", "expected": "Yoplait", "predicted": "Yoplait", "correct": true, "input_tokens": 1169, "output_tokens": 7, "elapsed_seconds": 2.769106624997221, "metadata": {"question": "What brand name is printed on the yogurt labels? Output the exact text exactly as printed.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8256}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224148", "index": 7, "image": "c3f661e1-1ce5-4c6b-ba39-f052aa469ae2_input-input-1780892587755-2dtxi0at3_png_jpg.rf.20b39c22d4076f012a024e6dc30f9a9a.jpg", "expected": "pencil", "predicted": "pencil", "correct": true, "input_tokens": 1159, "output_tokens": 5, "elapsed_seconds": 4.355155332945287, "metadata": {"question": "What object is shown on the small brown edit button overlapping the circular profile photo? Answer strictly with a lowercase singular noun (e.g., camera).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.3716}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224148", "index": 8, "image": "1478f318-0372-4bbb-bf28-6cab8c447a59_input-input-1771868885484-ua18hynnb_png_jpg.rf.4ad7f50638ebe01dc084da1b0f1ad471.jpg", "expected": "M&M's", "predicted": "M&M'S", "correct": true, "input_tokens": 1146, "output_tokens": 9, "elapsed_seconds": 4.916932500083931, "metadata": {"question": "Which candy brand appears in two different flavor versions in the machine? Output the exact brand name as printed on the wrapper (e.g., Snickers).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.9866}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224148", "index": 9, "image": "1478f318-0372-4bbb-bf28-6cab8c447a59_input-input-1771868885484-ua18hynnb_png_jpg.rf.4ad7f50638ebe01dc084da1b0f1ad471.jpg", "expected": "SNICKERS", "predicted": "M&M's", "correct": false, "input_tokens": 1149, "output_tokens": 9, "elapsed_seconds": 11.196225375053473, "metadata": {"question": "Which brand of candy has the most packages visible in the machine? Output the exact brand name as printed on the wrapper (e.g., M&M's).", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 11.2678}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224148", "index": 10, "image": "1279aeec-75d6-46ab-89c1-69cb067d9aaf_input-input-1769306313178-lbvw9serc_png_jpg.rf.41361767492fa1a80e6afea73573cfe3.jpg", "expected": "bottom", "predicted": "bottom", "correct": true, "input_tokens": 1175, "output_tokens": 5, "elapsed_seconds": 4.315138458041474, "metadata": {"question": "Which of the three vertically stacked targets has an arrow stuck directly into its yellow center ring? Answer strictly with a positional word (e.g., top, middle, bottom).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.3419}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224148", "index": 11, "image": "93441566-50c0-4bfb-9a31-437a2bc5e4f2_png_jpg.rf.76f710b9bae11e645b2e2f321c4c28c7.jpg", "expected": "Sanji", "predicted": "Sanji", "correct": true, "input_tokens": 1189, "output_tokens": 6, "elapsed_seconds": 2.9377984170569107, "metadata": {"question": "What is the large white text printed directly below the word \"CHARACTER\" at the bottom of the card? Output the exact text as printed (e.g., \"Luffy\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9526}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224148", "index": 12, "image": "097f7d52-0fd1-4385-9ec4-65a9ee83d81b_input-input-1776852419339-bqf3nz0wx_png_jpg.rf.40fa273eb7f690671e9c0e59d85e7be5.jpg", "expected": "black", "predicted": "black", "correct": true, "input_tokens": 1164, "output_tokens": 5, "elapsed_seconds": 5.613469083909877, "metadata": {"question": "What color is the vehicle parked immediately to the left of the bright green car? Answer strictly with the lowercase color name.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.7197}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224148", "index": 13, "image": "25e6ed9c-2d37-4533-8021-977770aa97d1_input-input-1780691294811-oql9y0w9f_png_jpg.rf.c641fe7967e345c1802f26f48ff5ec25.jpg", "expected": "blue", "predicted": "blue", "correct": true, "input_tokens": 1182, "output_tokens": 5, "elapsed_seconds": 3.053732499945909, "metadata": {"question": "What is the primary color of the gas cylinders that occupy the majority of the truck bed? Answer strictly with the lowercase word 'blue' or 'green'.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1052}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224148", "index": 14, "image": "7073c8ac-b9a8-4916-a976-5097055bd4a2_input-input-1772183761136-f7du2lnk9_png_jpg.rf.a437e0bf4a8959fdd8424bec09d3f864.jpg", "expected": "4C", "predicted": "4C", "correct": true, "input_tokens": 1144, "output_tokens": 6, "elapsed_seconds": 5.291436959058046, "metadata": {"question": "What US size is printed on the white shoe label on the tongue? Output the size exactly as printed (e.g., 7Y).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.4163}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224148", "index": 15, "image": "e060bfb7-df44-43fd-83e7-fd09ac632863_png_jpg.rf.f9d7b657fbf6487e431e4598bc34eb01.jpg", "expected": "Quatemberkinder", "predicted": "Quatemberkinder", "correct": true, "input_tokens": 1159, "output_tokens": 9, "elapsed_seconds": 3.512124790926464, "metadata": {"question": "What is the title of the book located directly to the left of the black-spined book \"THE GLASS CASTLE\"? Output the title exactly as printed on the spine (e.g., \"The Great Gatsby\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.5843}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224148", "index": 16, "image": "1f2fe1d2-a6a6-4e60-a8e9-5a44e686ea1f_input-input-1779734721670-w5z71vx1i_png_jpg.rf.c777ed0d816ef9faedc3eb7e1f521d5a.jpg", "expected": "Puffs", "predicted": "Puffs", "correct": true, "input_tokens": 1171, "output_tokens": 6, "elapsed_seconds": 3.2020151669858024, "metadata": {"question": "Which brand's box is located closest to the bottom edge of the black table? Output the brand name exactly as printed on the box.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.2704}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224148", "index": 17, "image": "0212eb3d-e4b1-4ef4-9204-e920654bf677_input-input-1778110710064-oqhw5zz8j_png_jpg.rf.d60dbb42e49e957743af859ee42767f0.jpg", "expected": "Seagram's", "predicted": "Seagram's 7", "correct": false, "input_tokens": 1149, "output_tokens": 10, "elapsed_seconds": 5.224054291029461, "metadata": {"question": "Which brand of liquor is located directly to the left of the bright orange Glenmorangie box? Output the exact text found on the bottle's main upper label.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 5.3504}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224148", "index": 18, "image": "2e15743f-6bc8-4cce-8ec0-66eea3a6ca2f_input-input-1779607392296-qwxxnltdb_png_jpg.rf.cb1d3d6cd6b04ff35f30afcd26ec0a54.jpg", "expected": "Tuc", "predicted": "Tuc", "correct": true, "input_tokens": 1189, "output_tokens": 5, "elapsed_seconds": 3.0408692080527544, "metadata": {"question": "Which brand of snack is located directly to the right of the Fiorentini package on the far left of the third row? Output the exact text found on the main label.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.078}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224148", "index": 19, "image": "1710a83d-1506-464e-83bf-f015141f1c37_input-input-1779171626146-78hoa3cju_png_jpg.rf.d99746d7404eb8a4900f9f714f0dbb68.jpg", "expected": "Appointment", "predicted": "Appointment", "correct": true, "input_tokens": 1177, "output_tokens": 5, "elapsed_seconds": 3.180389374960214, "metadata": {"question": "Which step in the horizontal progress tracker near the top of the page is currently active and marked with a filled blue circle? Output the exact text label of the active step.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1948}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224148", "index": 20, "image": "1710a83d-1506-464e-83bf-f015141f1c37_input-input-1779171626146-78hoa3cju_png_jpg.rf.d99746d7404eb8a4900f9f714f0dbb68.jpg", "expected": "blue", "predicted": "blue", "correct": true, "input_tokens": 1174, "output_tokens": 5, "elapsed_seconds": 1.9806693750433624, "metadata": {"question": "What color is the background of the \"Continue\" button located at the bottom right corner of the interface? Answer strictly with the lowercase name of the color.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 1.998}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224148", "index": 21, "image": "20c6f561-491b-44ca-a96a-8f6d926b8307_png_jpg.rf.d7a585c3f57932b5a082de3f1a393832.jpg", "expected": "green", "predicted": "green", "correct": true, "input_tokens": 1148, "output_tokens": 5, "elapsed_seconds": 5.574564834008925, "metadata": {"question": "What color is the illuminated circular button on the metal control panel at the top center? Answer strictly with the lowercase color name (e.g., yellow).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.6118}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224148", "index": 22, "image": "ae20b44c-9be6-47a5-8002-2c417a2a2441_png_jpg.rf.831df5c9ebce5644f8482c403e349df4.jpg", "expected": "clockwise", "predicted": "clockwise", "correct": true, "input_tokens": 1168, "output_tokens": 5, "elapsed_seconds": 2.6609788340283558, "metadata": {"question": "In which direction does the circular arrow inside the green \"SLEEVE\" recycling icon rotate? Answer strictly with a single lowercase word (e.g., clockwise).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.6724}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224148", "index": 23, "image": "94f3adfa-0184-4872-8eb9-9f24e1a81a95_png_jpg.rf.e61cbf03dfc0c1c01510c48e93cdb983.jpg", "expected": "BOSS", "predicted": "BOSS", "correct": true, "input_tokens": 1182, "output_tokens": 5, "elapsed_seconds": 2.712616250035353, "metadata": {"question": "What is the sponsor name printed in white on the left side mirror winglet? Output the exact text as printed (e.g., \"ROLEX\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7607}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224148", "index": 24, "image": "94f3adfa-0184-4872-8eb9-9f24e1a81a95_png_jpg.rf.e61cbf03dfc0c1c01510c48e93cdb983.jpg", "expected": "LECLERC", "predicted": "LECLERC", "correct": true, "input_tokens": 1189, "output_tokens": 7, "elapsed_seconds": 3.4293304999591783, "metadata": {"question": "Which driver's name is displayed in the timing panel directly to the right of Hamilton's panel? Output the exact name as printed (e.g., \"VERSTAPPEN\").", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.4752}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224148", "index": 25, "image": "1b427858-f42b-4083-a3c7-09695ea0f3de_png_jpg.rf.4c978aae775eb6005121e9fdaf79a4c1.jpg", "expected": "E70-21-27-03-001", "predicted": "E70-21-27-03-001", "correct": true, "input_tokens": 1204, "output_tokens": 20, "elapsed_seconds": 2.922793374978937, "metadata": {"question": "Which E/C code is associated with the description \"FORWARD CARGO COMPARTMENT CHECK VALVE - OPERATIONAL TEST\" in the bottom section? Output the exact code as printed (e.g., E70-XX-XX-XX-XX).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9412}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224148", "index": 26, "image": "acc53733-7609-4a88-9125-d9671368e31c_png_jpg.rf.12c7cc10f331789e9443ed17a5069e81.jpg", "expected": "yellow", "predicted": "yellow", "correct": true, "input_tokens": 1188, "output_tokens": 5, "elapsed_seconds": 3.5144960419274867, "metadata": {"question": "What color is the letter \"M\" displayed in the column to the right of the lap times on the leaderboard? Answer strictly with the lowercase color name (e.g., blue).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.5548}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224148", "index": 27, "image": "0f07f712-f1ce-4b90-963e-7849862d827d_input-input-1779919148318-fedk52cp8_png_jpg.rf.4ca482cc2aba45b411de65cad76253e2.jpg", "expected": "red", "predicted": "red", "correct": true, "input_tokens": 1176, "output_tokens": 5, "elapsed_seconds": 2.186983500025235, "metadata": {"question": "What color is the rectangular brick located directly below the green 2x4 brick? Answer strictly with the lowercase color name.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.2195}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224148", "index": 28, "image": "3250b041-2ce2-4500-a99d-6f95f5536be5_input-input-1779670032347-3m1xayuws_png_jpg.rf.95a4592009a0c672498005632e81c9d5.jpg", "expected": "checkered flag", "predicted": "A checkered flag", "correct": true, "input_tokens": 1153, "output_tokens": 7, "elapsed_seconds": 7.239770666928962, "metadata": {"question": " What specific racing-related object is depicted in the logo directly above the large number \"17\" on the tire? Answer with a short descriptive phrase.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.3085}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224148", "index": 29, "image": "1a2826ae-6b4f-402d-871c-c99feec8673f_input-input-1773615096287-0i6s4vldj_png_jpg.rf.8ab2ade21a5b6f6dee2307de719eb877.jpg", "expected": "Enable two-factor authentication (2FA)", "predicted": "Enable two-factor authentication (2FA)", "correct": true, "input_tokens": 1184, "output_tokens": 13, "elapsed_seconds": 3.3531787500251085, "metadata": {"question": "What is the main heading centered above the progress indicator at the top of the screen? Output the text exactly as printed (e.g., Account Settings).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.3721}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224148", "index": 30, "image": "bab22192-40dc-46bd-b314-ea08adf480e4_input-input-1768993566899-f1f6n85t5_png_jpg.rf.57bf3349d30203ce44bff8a502abf964.jpg", "expected": "Fisherbrand", "predicted": "Fisherbrand", "correct": true, "input_tokens": 1143, "output_tokens": 6, "elapsed_seconds": 3.5335375419817865, "metadata": {"question": "What brand name is printed in large white text on the rightmost beaker? Output the text exactly as printed (e.g., Pyrex).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.611}} +{"model": "gemini-4-argon", "effort": "low", "task": "identification", "timestamp": "20261012_224148", "index": 31, "image": "4f2b6aab-f1c1-4f16-b3ca-bbe4d399a897_input-input-1773381300920-0uaf4zno9_png_jpg.rf.cafad4b6eb9a3ec94667457e32e8b7f5.jpg", "expected": "strawberry", "predicted": "strawberry", "correct": true, "input_tokens": 1188, "output_tokens": 5, "elapsed_seconds": 3.3444240000098944, "metadata": {"question": "What specific type of red fruit is present in both the loose rectangular metal container on the left and inside the small white portion bowls? Answer strictly with the lowercase singular name of the fruit.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.3937}} diff --git a/results/ocr_gemini-4-argon-eap_high_20261012_225050.jsonl b/results/ocr_gemini-4-argon-eap_high_20261012_225050.jsonl deleted file mode 100644 index d417659..0000000 --- a/results/ocr_gemini-4-argon-eap_high_20261012_225050.jsonl +++ /dev/null @@ -1,37 +0,0 @@ -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 0, "image": "4f770728-7b1f-4bf3-b877-e3d33fcc135d_png.rf.dffcaaeb26fd7fe4fd14891cb00a0adf.jpg", "expected": "100 Good Cookies\n1 cup white sugar 1 teaspoon baking soda\n1 cup brown sugar 1 cup quick oatmeal\n1 cup margarine 1 cup coconut\n1 cup cooking oil 1 cup Rice Krispies\n1 egg 1 cup chopped walnuts\n1 teaspoon vanilla 3\u00bd cups flour\n1 teaspoon cream of tartar 1-12oz. package mini\nchocolate chips\nMix in order given. Drop by teaspoonful onto cookie sheet. Bake at 350\u00b0 for 8-10 minutes.\n(over)", "predicted": "100 Good Cookies\n1 cup white sugar 1 teaspoon baking soda\n1 cup brown sugar 1 cup quick oatmeal\n1 cup margarine 1 cup coconut\n1 cup cooking oil 1 cup Rice Krispies\n1 egg 1 cup chopped walnuts\n1 teaspoon vanilla 3\u00bd cups flour\n1 teaspoon cream of tartar 1-12oz. package mini\n chocolate chips\nMix in order given. Drop by teaspoonful onto\ncookie sheet. Bake at 350\u00b0 for 8-10 minutes.\n (over)", "correct": true, "input_tokens": 1163, "output_tokens": 1362, "elapsed_seconds": 45.303729915991426, "metadata": {"question": "Transcribe all handwritten and printed text exactly as written, reading top to bottom and left to right, and omit nothing; mark only genuinely unreadable words as [illegible]. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9922, "attempts": 1, "retries": 0, "total_seconds": 45.3321}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 1, "image": "0de03edc-15c5-4782-a74b-7cedb1df477b_png.rf.357da74f0ffbbb05467a6069097f2740.jpg", "expected": "(1) 8 + 7 = 15 (9) 17 - 9 = 8\n(2) 15 - 6 = 9 (10) 7 + 9 = 16\n(3) 9 + 4 = 13 (11) 14 - 8 = 6\n(4) 13 - 5 = 8 (12) 5 + 6 = 11\n(5) 6 + 8 = 14 (13) 16 - 7 = 9\n(6) 5 + 9 = 14 (14) 3 + 7 = 10", "predicted": "(1) 8 + 7 = 15 (9) 17 - 9 = 8\n(2) 15 - 6 = 9 (10) 7 + 9 = 16\n(3) 9 + 4 = 13 (11) 14 - 8 = 6\n(4) 13 - 5 = 8 (12) 5 + 6 = 11\n(5) 6 + 8 = 14 (13) 16 - 7 = 9\n(6) 5 + 9 = 14 (14) 3 + 7 = 10", "correct": true, "input_tokens": 1178, "output_tokens": 1075, "elapsed_seconds": 32.18608083296567, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 1.0, "attempts": 1, "retries": 0, "total_seconds": 32.201}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 2, "image": "861cb64d-800a-4635-999c-739199f8b473_png.rf.2dfcae9315498e5af9851962b9b1b65d.jpg", "expected": "2516 Country Club Rd.\nWinston Salem NC 27104\nJuly 17, 1981\n\nDr T S Osdene\nDirector of Research and Scientific Affairs\nPHILIP MORRIS USA\nResearch Center\nP.O Box 26583\nRichmond VA 23261\n\nDear Tom \u2014\n\nRe MDA NO/NOx Field Kit\n\nMDA requires prepayment before shipment\nof materials to private individuals. Accordingly\nI mailed check for $2505.00 for Kit yesterday.\nCopies for verification are enclosed. I presume\nthis will suffice to reimburse me.\n\nAs soon as MDA receives check, presumably\nJuly 20, Kit will be shipped to me by UPS and\nI will immediately trans ship by UPS to\nyou.\n\nCongrats on the birth of your son. Best wishes\nto Mrs Osdene and you.\n\n\u03a6000018736\n\nSincerely\nMurray", "predicted": "2516 Country Club Rd.\n Winston Salem NC 27104\n July 17, 1981\n\nDr T S Osdene\nDirector of Research and Scientific Affairs\nPHILIP MORRIS USA\nResearch Center\nP.O Box 26583\nRichmond VA 23261\n\nDear Tom -\n Re MDA NO/NOx Field Kit\n\n MDA requires prepayment before shipment\nof materials to private individuals. Accordingly\nI mailed check for $ 2505 00 for kit yesterday.\nCopies for verification are enclosed. I presume\nthis will suffice to reimburse me.\n As soon as MDA receives check, presumably\nJuly 20, kit will be shipped to me by UPS and\nI will immediately trans ship by UPS to\nyou.\n Congrats on the birth of your son. Best wishes\nto Mrs Osdene and you. 1000018736\n\n Sincerely\n Murray", "correct": true, "input_tokens": 1161, "output_tokens": 1798, "elapsed_seconds": 48.37515995895956, "metadata": {"question": "Transcribe all handwritten and printed text exactly as written, reading top to bottom and left to right, and omit nothing; mark only genuinely unreadable words as [illegible]. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9765, "attempts": 1, "retries": 0, "total_seconds": 48.3924}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 3, "image": "bfe2208e-9dcb-4273-9781-be20d0ae766a_png.rf.2506b1cf22374cc1de2823bf766ef968.jpg", "expected": "Ent 103326 Bk 331 Pg 470\nDate: 20-JUN-2006 2:28PM\nORDINANCE NO. CO-06-5 Fee: None\nFiled By: AKT\nBRENDA NELSON, Recorder\nMORGAN COUNTY\nAN ORDINANCE ADOPTING THE STATE WILDLIFE RESOURCES CODE\nFOR MORGAN COUNTY.\n\nWHEREAS, the Morgan County Sheriff's Office is charged with the enforcement of\nregulations and laws relating to wildlife resources within Morgan County; and\n\nWHEREAS, in the course of the Sheriff's enforcement duties it is often necessary to cite\nindividuals for violations of the various state rules regulating wildlife resources; and\n\nWHEREAS, Morgan County would like to cite violators for county ordinance violations\nrather than state code violations since violators are processed by county enforcement officers,\nprosecuted in county courts by county prosecutors, and incarcerated, if necessary, in county jails;\n\nNOW THEREFOR, the County Council of Morgan County, State of Utah, hereby\nordains as follows:\n\nWILDLIFE RESOURCES ORDINANCE\n\nSection 1. Adoption of the Utah wildlife resources Code, Rules and Regulations\n\nThe Rules and Regulations contained in Utah Code Annotated Title 23, as amended, and the\nRules promulgated thereunder, are hereby adopted as the wildlife resources Code, Rules and\nRegulations of Morgan County. Any provisions of Title 23 providing a penalty greater than a\nClass B misdemeanor, or not relating to criminal or administrative sanctions, are not incorporated\nas part of this ordinance.\n\nSection 2. Amendments\n\nIn order to assure continuing uniformity between the Utah wildlife resources Rules and\nRegulations and the Morgan County wildlife resources Rules and Regulations, this Ordinance\nwill include any and all periodic amendments to the State Rules and Regulations, Title 23, after\nthe effective date of this title, made by the Utah State Legislature or by the Utah Department of\nNatural Resources.\n\nSection 3. Effective Date\n\nThis ordinance shall take effect 15 days after passage, after required publication and after a copy\nof the ordinance is deposited with the Morgan County Clerk's Office.\n\nAPPROVED, ADOPTED, AND PASSED and ordered published by the Morgan County\nCouncil, this 6th day of June, 2006.", "predicted": "Ent 103326 Bk 231 Pg 470\nDate: 20-JUN-2006 2:28PM\nFee: None\nFiled By: AKT\nBRENDA NELSON, Recorder\nMORGAN COUNTY\nFor: MORGAN COUNTY\n\nORDINANCE NO. CO-06-5\n\nAN ORDINANCE ADOPTING THE STATE WILDLIFE RESOURCES CODE\nFOR MORGAN COUNTY.\n\n WHEREAS, the Morgan County Sheriff's Office is charged with the enforcement of\nregulations and laws relating to wildlife resources within Morgan County; and\n\n WHEREAS, in the course of the Sheriff's enforcement duties it is often necessary to cite\nindividuals for violations of the various state rules regulating wildlife resources; and\n\n WHEREAS, Morgan County would like to cite violators for county ordinance violations\nrather than state code violations since violators are processed by county enforcement officers,\nprosecuted in county courts by county prosecutors, and incarcerated, if necessary, in county jails;\n\n NOW THEREFOR, the County Council of Morgan County, State of Utah, hereby\nordains as follows:\n\nWILDLIFE RESOURCES ORDINANCE\n\nSection 1. Adoption of the Utah wildlife resources Code, Rules and Regulations\n\nThe Rules and Regulations contained in Utah Code Annotated Title 23, as amended, and the\nRules promulgated thereunder, are hereby adopted as the wildlife resources Code, Rules and\nRegulations of Morgan County. Any provisions of Title 23 providing a penalty greater than a\nClass B misdemeanor, or not relating to criminal or administrative sanctions, are not incorporated\nas part of this ordinance.\n\nSection 2. Amendments\n\nIn order to assure continuing uniformity between the Utah wildlife resources Rules and\nRegulations and the Morgan County wildlife resources Rules and Regulations, this Ordinance\nwill include any and all periodic amendments to the State Rules and Regulations, Title 23, after\nthe effective date of this title, made by the Utah State Legislature or by the Utah Department of\nNatural Resources.\n\nSection 3. Effective Date\n\nThis ordinance shall take effect 15 days after passage, after required publication and after a copy\nof the ordinance is deposited with the Morgan County Clerk's Office.\n\n APPROVED, ADOPTED, AND PASSED and ordered published by the Morgan County\nCouncil, this 6th day of June , 2006.", "correct": true, "input_tokens": 1168, "output_tokens": 5638, "elapsed_seconds": 62.75568066700362, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.967, "attempts": 1, "retries": 0, "total_seconds": 62.7861}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 4, "image": "d6b410b8-2381-4e65-8113-2dbcca295990_png.rf.794671b291d105d363ebd6d8d93b3fc8.jpg", "expected": "THIS SENTENCE WAS WRITTEN BY SOMEONE WITH DYSGRAPHIA", "predicted": "THIS SENTENCE WAS WRITTEN BY SOM\n EONE WITH Dysgraphia", "correct": false, "input_tokens": 1181, "output_tokens": 1022, "elapsed_seconds": 18.233625667053275, "metadata": {"question": "Transcribe all handwritten and printed text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.7963, "attempts": 1, "retries": 0, "total_seconds": 18.2473}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 5, "image": "9c225ac4-3b44-42cf-a0dc-4a3984c5bac9_png.rf.1455a695dcdb15839a0deb51bf270c04.jpg", "expected": "When I built menugen ~1 year ago, I observed that the hardest part by far was not the code itself, it was the plethora of services you have to assemble like IKEA furniture to make it real, the DevOps: services, payments, auth, database, security, domain names, etc...\n\nI am really looking forward to a day where I could simply tell my agent: \"build menugen\" (referencing the post) and it would just work. The whole thing up to the deployed web page. The agent would have to browse a number of services, read the docs, get all the api keys, make everything work, debug it in dev, and deploy to prod. This is the actually hard part, not the code itself. Or rather, the better way to think about it is that the entire DevOps lifecycle has to become code, in addition to the necessary sensors/actuators of the CLIs/APIs with agent-native ergonomics. And there should be no need to visit web pages, click buttons, or anything like that for the human.\n\nIt's easy to state, it's now just barely technically possible and expected to work maybe, but it definitely requires from-scratch re-design, work and thought. Very exciting direction!", "predicted": "Andrej Karpathy\n@karpathy\n\nWhen I built menugen ~1 year ago, I observed that the hardest part by far\nwas not the code itself, it was the plethora of services you have to\nassemble like IKEA furniture to make it real, the DevOps: services,\npayments, auth, database, security, domain names, etc...\n\nI am really looking forward to a day where I could simply tell my agent:\n\"build menugen\" (referencing the post) and it would just work. The whole\nthing up to the deployed web page. The agent would have to browse a\nnumber of services, read the docs, get all the api keys, make everything\nwork, debug it in dev, and deploy to prod. This is the actually hard part,\nnot the code itself. Or rather, the better way to think about it is that the\nentire DevOps lifecycle has to become code, in addition to the necessary\nsensors/actuators of the CLIs/APIs with agent-native ergonomics. And\nthere should be no need to visit web pages, click buttons, or anything\nlike that for the human.\n\nIt's easy to state, it's now just barely technically possible and expected\nto work maybe, but it definitely requires from-scratch re-design, work\nand thought. Very exciting direction!", "correct": true, "input_tokens": 1173, "output_tokens": 2629, "elapsed_seconds": 33.754357957979664, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom, keeping each author's handle with their message, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the top-level tweet authored by Andrej Karpathy (@karpathy).", "match_method": "similarity", "score": 0.9646, "attempts": 1, "retries": 0, "total_seconds": 33.7686}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 6, "image": "9fdae0ac-7d89-45f1-b628-bcdbac72c185_png.rf.7b62d1c22ac071a0003f46d2feaae5e5.jpg", "expected": "```javascript\nconst BROWSER_APP_NAMES = new Set([\n \"google chrome\",\n \"google chrome canary\",\n \"chromium\",\n \"microsoft edge\",\n \"mozilla firefox\",\n \"firefox\",\n \"opera\",\n \"brave browser\",\n \"vivaldi\",\n \"arc\",\n]);\n```", "predicted": "```javascript\nconst BROWSER_APP_NAMES = new Set([\n \"google chrome\",\n \"google chrome canary\",\n \"chromium\",\n \"microsoft edge\",\n \"mozilla firefox\",\n \"firefox\",\n \"opera\",\n \"brave browser\",\n \"vivaldi\",\n \"arc\",\n]);\n```", "correct": false, "input_tokens": 1219, "output_tokens": 760, "elapsed_seconds": 15.110709459055215, "metadata": {"question": "Transcribe every piece of text in this screenshot exactly as written, in reading order, and omit nothing. Put source code inside fenced code blocks, preserving indentation, quotes, and casing exactly, and transcribe surrounding interface text as Markdown. Transcribe only the definition of the `BROWSER_APP_NAMES` constant shown in the code editor, and ignore all other code, the editor chrome, file tabs, sidebars, and the terminal.", "match_method": "similarity", "score": 0.9107, "attempts": 1, "retries": 0, "total_seconds": 15.1351}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 7, "image": "5cf55f37-8adb-4adb-9520-148340548028_png.rf.d09a7340877434f1cbdb25f1eccd4774.jpg", "expected": "TOM GREEN HANDYMAN\n5 Any Street, Any City, That Area Code\nTelephone: 0800 XXX XXX\n\nDate : 6/5/2016\nInvoice No : 0003521\nTax Registered No 123456\n\nMr and Mrs Fielding\nThis Address\nThis City\nThis Area Code\n\nTAX INVOICE\n\n
QuantityDescriptionUnit PriceCost
Upgrade to Bathroom
23.75Labour40.00950.00
50Nails and screws0.8040.00
1Paint and Plywood1000.001000.00
40Imported wall tiles14.00560.00
1Freight150.00150.00
1Sub-contractor : Tile-It228.00
Subtotal2928.00
Tax439.20
Total Due$3,367.20
\n\nPayment due by the 10th of the month following the date of invoice.\nPlease make payment into Bank Account No. 12 3456 789112 012\n\nInterest of 10% per year will be charged on late payments.\n\nCut here\n\nRemittance\n\nMr and Mrs Fielding\n\nTOM GREEN HANDYMAN\n5 Any Street\nAny City\nThat Area Code\n\nAmount Due $3,367.20\nAmount Paid ______", "predicted": "TOM GREEN HANDYMAN\n5 Any Street, Any City, That Area Code\nTelephone: 0800 XXX XXX\n\nDate : 6/5/2016 Invoice No : 0003521\n\nTax Registered No 123456\nMr and Mrs Fielding\nThis Address\nThis City\nThis Area Code\n\nT A X I N V O I C E\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
QuantityDescriptionUnit PriceCost
Upgrade to Bathroom
23.75Labour40.00950.00
50Nails and screws0.8040.00
1Paint and Plywood1000.001000.00
40Imported wall tiles14.00560.00
1Freight150.00150.00
1Sub-contractor : Tile-It228.00
Subtotal2928.00
Tax439.20
Total Due$3,367.20
\n\nPayment due by the 10th of the month following the date of invoice.\nPlease make payment into Bank Account No. 12 3456 789112 012\n\nInterest of 10% per year will be charged on late payments.\n\nCut here\nRemittance\nMr and Mrs Fielding\nTOM GREEN HANDYMAN\n5 Any Street Amount Due $3,367.20\nAny City\nThat Area Code Amount Paid ___________", "correct": false, "input_tokens": 1194, "output_tokens": 2797, "elapsed_seconds": 29.244144750060514, "metadata": {"question": "Transcribe all text in this document exactly and completely, in reading order, preserving casing, punctuation, currency symbols, and codes. Use an HTML table only for genuinely tabular content, mirroring its rows, columns, and merged cells; write the HTML on single lines with no indentation or blank lines between tags, and collapse horizontal alignment to a single space.", "match_method": "similarity", "score": 0.9213, "attempts": 1, "retries": 0, "total_seconds": 29.2576}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 8, "image": "1bce4a54-e6bc-4752-b48e-d9889895936a_png.rf.6f12b4139eeac41161f2fb59dad48237.jpg", "expected": "I run hermes handling whatsapp, email, cron jobs, building apps, outreaching customers, outbound and inbound calls \u2014 the whole thing. hasn't needed babysitting in weeks. if you're on the fence just try it. worst case you go back. but I don't think you will", "predicted": "Falcon @Falconve_ \u00b7 6\u5c0f\u65f6\nI run hermes handling whatsapp, email, cron jobs, building apps,\noutreaching customers, outbound and inbound calls \u2014 the whole thing.\nhasn't needed babysitting in weeks. if you're on the fence just try it. worst\ncase you go back. but I don't think you will", "correct": false, "input_tokens": 1159, "output_tokens": 1625, "elapsed_seconds": 26.080989458947442, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom, keeping each author's handle with their message, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the last (bottom-most) tweet in the thread by Falcon (@Falconve_).", "match_method": "similarity", "score": 0.9036, "attempts": 1, "retries": 0, "total_seconds": 26.1159}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 9, "image": "eb592312-33c0-41ff-91ec-6e87ad25f12e_png.rf.ad80ac2d57c33733bd20600e13e312f3.jpg", "expected": "(SAE09TR.72) A 13-year-old girl sustained an isolated midshaft left femoral fracture in a motor vehicle accident. The fracture was treated with a rigid, antegrade intramedullary nail placed through the piriformis fossa. The fracture healed uneventfully, as shown in Figure 46a; however, at 12 months postoperatively she now reports left hip pain. A current AP radiograph and MRI scan are shown in Figures 46b and 46c. What complication occurred in this patient? Review Topic\n\n1 Chondrolysis\n2 Ischemic necrosis of the femoral head\n3 Ischemic necrosis of the greater trochanter\n4 Femoral neck fracture\n5 Trochanteric overgrowth\n\nPREFERRED RESPONSE 2\n\nThe development of femoral head ischemic necrosis is the iatrogenically created complication in this skeletally immature patient. Placement of a rigid, antegrade intramedullary nail through the piriformis fossa is likely to damage the vascular supply to the femoral head as the vessels ascend the femoral neck on the way to the femoral head. The MRI scan reveals ischemic necrosis with early collapse of the femoral head. The joint space is preserved on the MRI scan, ruling out chondrolysis.\n\n(SAE08OS.196) An adult patient has had low-grade fevers, malaise, and joint pain for the past several days. Examination reveals an erythematous \"bulls eye\" rash over the right thigh (erythema migrans). What is the organism associated with this infection? Review Topic", "predicted": "(SAE09TR.72) A 13-year-old girl sustained an isolated midshaft left femoral fracture in a motor vehicle accident. The fracture was treated with a rigid, antegrade intramedullary nail placed through the piriformis fossa. The fracture healed uneventfully, as shown in Figure 46a; however, at 12 months postoperatively she now reports left hip pain. A current AP radiograph and MRI scan are shown in Figures 46b and 46c. What complication occurred in this patient? Review Topic\n\n*1* Chondrolysis \n*2* Ischemic necrosis of the femoral head \n*3* Ischemic necrosis of the greater trochanter \n*4* Femoral neck fracture \n*5* Trochanteric overgrowth \n\nPREFERRED RESPONSE 2\n\nThe development of femoral head ischemic necrosis is the iatrogenically created complication in this skeletally immature patient. Placement of a rigid, antegrade intramedullary nail through the piriformis fossa is likely to damage the vascular supply to the femoral head as the vessels ascend the femoral neck on the way to the femoral head. The MRI scan reveals ischemic necrosis with early collapse of the femoral head. The joint space is preserved on the MRI scan, ruling out chondrolysis.\n\n\n(SAE08OS.196) An adult patient has had low-grade fevers, malaise, and joint pain for the past several days. Examination reveals an erythematous \"bulls eye\" rash over the right thigh (erythema migrans). What is the organism associated with this infection? Review Topic", "correct": true, "input_tokens": 1169, "output_tokens": 1440, "elapsed_seconds": 19.23465762496926, "metadata": {"question": "Transcribe every piece of text in this image exactly as written, in reading order, preserving question and option numbering, and omit nothing. Write mathematical expressions in LaTeX and format the result as Markdown that mirrors the layout.", "match_method": "similarity", "score": 0.9923, "attempts": 1, "retries": 0, "total_seconds": 19.2694}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 10, "image": "c50bed4d-e825-46b7-ac5c-a84806fa0481_png.rf.dbad52cae24c6759d646ebb0ad6c30a3.jpg", "expected": "```python\nimport random\n\ndef roll_dice(n=2, sides=6):\n return [random.randint(1, sides) for _ in range(n)]\n\ndef magic_8ball():\n responses = [\n \"Yes\", \"No\", \"Maybe\", \"Ask again later\",\n \"Absolutely\", \"No way\", \"Signs point to yes\",\n \"Don't count on it\", \"Without a doubt\",\n ]\n return random.choice(responses)\n\nif __name__ == \"__main__\":\n print(f\"Rolling 2 dice: {roll_dice()}\")\n print(f\"Magic 8-Ball says: {magic_8ball()}\")\n print(f\"Your lucky number: {random.randint(1, 100)}\")\n```", "predicted": "```python\nimport random\n\ndef roll_dice(n=2, sides=6):\n return [random.randint(1, sides) for _ in range(n)]\n\ndef magic_8ball():\n responses = [\n \"Yes\", \"No\", \"Maybe\", \"Ask again later\",\n \"Absolutely\", \"No way\", \"Signs point to yes\",\n \"Don't count on it\", \"Without a doubt\",\n ]\n return random.choice(responses)\n\nif __name__ == \"__main__\":\n print(f\"Rolling 2 dice: {roll_dice()}\")\n print(f\"Magic 8-Ball says: {magic_8ball()}\")\n print(f\"Your lucky number: {random.randint(1, 100)}\")\n```", "correct": true, "input_tokens": 1171, "output_tokens": 1154, "elapsed_seconds": 45.06986620801035, "metadata": {"question": "Transcribe every piece of text in this screenshot exactly as written, in reading order, and omit nothing. Put source code inside fenced code blocks, preserving indentation, quotes, and casing exactly, and transcribe surrounding interface text as Markdown. Transcribe only the code shown in the editor pane, ignoring the editor chrome, file tabs, sidebars, and the line-number gutter.", "match_method": "similarity", "score": 1.0, "attempts": 1, "retries": 0, "total_seconds": 45.1864}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 11, "image": "d0980bab-2f15-4550-b3e6-813a2ad7e709_png.rf.4002baedf14c91e52686c70ec58fd7f0.jpg", "expected": "Example 3 (HW)\nEach of the numbers 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 is written\non a separate piece of paper. The 10 pieces of paper\nare then placed in a hat. If one piece of paper is\nselected at random from hat, estimate the probability\nthat:\n(i) the number written on piece of paper is an even\nnumber or greater than 6.\n(ii) the number written on piece of paper is less than 5\nor greater than 8.\n(iii) the number written on piece of paper is divisible by 4.\n(iv) the \" \" \" \" \" \" \" at least 7.\n(v) \" \" \" \" \" \" \" at most 3.", "predicted": "Example 3 (HW)\nEach of the numbers 1,2,3,4,5,6,7,8,9,10 is written\non a separate piece of paper. The 10 pieces of paper\nare then placed in a hat. If one piece of paper is\nselected at random from hat, estimate the probability\n that:\n(i) the number written on piece of paper is an even\n number or greater than 6.\n(ii) the number written on piece of paper is less than 5\n or greater than 8.\n(iii) the number written on piece of paper is divisible by 4.\n(iv) the \" \" \" \" \" \" \" at least 7.\n(v) \" \" \" \" \" \" \" \" at most 3.\nCS Scanned with CamScanner", "correct": false, "input_tokens": 1180, "output_tokens": 1671, "elapsed_seconds": 44.612425290979445, "metadata": {"question": "Transcribe all handwritten and printed text exactly as written, reading top to bottom and left to right, and omit nothing; mark only genuinely unreadable words as [illegible]. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9244, "attempts": 1, "retries": 0, "total_seconds": 44.6687}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 12, "image": "00099ca8-7388-4ccb-a9ae-0def0f38e1d4_png.rf.87454ebaa2a188c18aadac0664ef70f6.jpg", "expected": "I'm losing so much money every single second I dont spend in the states. Every day I wake up, I'm hyperventilating about the fact that I am irresponsibly putting my young family's future at great risk because I can't but help listen to my gut. I am filled with doubt every day", "predicted": "kache @yacineMTB \u00b7 9\u5c0f\u65f6\nI'm losing so much money every single second I dont spend in the states.\nEvery day I wake up, I'm hyperventilating about the fact that I am\nirresponsibly putting my young family's future at great risk because I can't\nbut help listen to my gut. I am filled with doubt every day\nstainlesssteelcockroach @stainle55446702 \u00b7 10\u5c0f\u65f6\n\u56de\u590d @yacineMTB\nYou would like it down south as well. Where engineers are honored as\nthe future.....\n40 1 248 2.5\u4e07", "correct": false, "input_tokens": 1188, "output_tokens": 1535, "elapsed_seconds": 34.34749829105567, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom, keeping each author's handle with their message, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the first tweet by kache (@yacineMTB).", "match_method": "similarity", "score": 0.5935, "attempts": 1, "retries": 0, "total_seconds": 34.3617}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 13, "image": "838b00ad-2a6d-4bc7-84a3-d3cb3e6fdfb8_png.rf.86b85c55a59bba487946e192adc78406.jpg", "expected": "The French Revolution began in 1789 in France and was caused by several political, social, and economic factors. One major cause was the inequality in the social structure known as the Estates System, where the clergy and nobility enjoyed privileges while the common people had to pay heavy taxes. Another cause was the financial crisis faced by the monarchy due to wars and extravagant spending by Louis XVI and the royal court.\n\nThe influence of Enlightenment thinkers also played a significant role. Philosophers like Jean-Jacques Rousseau and Voltaire promoted ideas of liberty, equality, and popular sovereignty. These ideas encouraged people to question the authority of the monarchy.\n\nThe revolution had major effects on French society and politics. The monarchy was abolished, and France eventually became a republic. The revolution led to the Reign of Terror, during which many people were executed. In the long term, the revolution spread the ideals of liberty, equality, and fraternity across Europe and influenced many future democratic movements.", "predicted": "The French Revolution began in 1789 in France and was caused by several political, social, and economic factors. One major cause was the\ninequality in the social structure known as the Estates System, where the clergy and nobility enjoyed privileges while the common people had\nto pay heavy taxes. Another cause was the financial crisis faced by the monarchy due to wars and extravagant spending by Louis XVI and the\nroyal court.\n\nThe influence of Enlightenment thinkers also played a significant role. Philosophers like Jean-Jacques Rousseau and Voltaire promoted ideas\nof liberty, equality, and popular sovereignty. These ideas encouraged people to question the authority of the monarchy.\n\nThe revolution had major effects on French society and politics. The monarchy was abolished, and France eventually became a republic. The\nrevolution led to the Reign of Terror, during which many people were executed. In the long term, the revolution spread the ideals of\nliberty, equality, and fraternity across Europe and influenced many future democratic movements.", "correct": true, "input_tokens": 1140, "output_tokens": 735, "elapsed_seconds": 9.23368504201062, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9943, "attempts": 1, "retries": 0, "total_seconds": 9.2445}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 14, "image": "efe6537c-b164-43c1-8a9b-a329c7b96ec1_png.rf.96d23b9a67c8c503dd57cc8ddb11363b.jpg", "expected": "Clinical Nurse Manager Sep 2012 \u2013 Jul 2014\nBarron Center \u2013 Portland, ME\nManaged nursing operations on a 26-bed skilled rehabilitation unit, ensuring effective clinical care delivery.\n\u2022 Supervised nursing staff performance and provided ongoing competency evaluations.\n\u2022 Developed individualized care plans in collaboration with physicians and rehabilitation teams.\n\u2022 Implemented policies and procedures to meet regulatory and accreditation requirements.\n\nRegistered Nurse, Medical-Surgical Unit (Float Pool) Jun 2012 \u2013 Sep 2012\nMercy Hospital \u2013 Portland, ME\nProvided direct patient care within medical-surgical units, ensuring safe and effective treatment delivery.\n\u2022 Performed comprehensive physical assessments and monitored patient progress.\n\u2022 Administered medications and documented interventions per hospital protocols.\n\u2022 Collaborated with multidisciplinary teams to coordinate and plan care.\n\nEDUCATION, CERTIFICATIONS & LICENSURE\n\nBachelor of Science in Nursing (BSN)\nWestern Governors University, Salt Lake City, UT | Graduated January 2019\n\nAssociate of Science in Nursing (ASN)\nCollege of Nursing and Health Professions, Lewiston, ME | Graduated May 2010\n\nCertifications & Licensure\n\u2022 Registered Nurse (RN License #R057634) \u2013 State of Maine\n\u2022 Basic Life Support (BLS) \u2013 Current through December 2027\n\u2022 Educated in: Accountable Care Organizations (ACOs), Patient-Driven Payment Model (PDPM)\n\u2022 Clinical Systems Proficiency: Cerner / PowerChart, EPIC, Quantum, PointClickCare\n\u2022 Utilization Review Tools: InterQual, NaviHealth, CarePort\n\u2022 Analytics & Administrative Systems: Salesforce, Tableau, Microsoft Excel & PowerPoint, ADP, SAP Concur\n\nSKILLS & ADDITIONAL INFORMATION\n\nTechnical Skills\n\u2022 Clinical Systems & EMRs: Cerner / PowerChart, EPIC, Quantum, PointClickCare\n\u2022 Utilization Management Tools: InterQual, NaviHealth, CarePort\n\u2022 Data & Analytics Platforms: Tableau, Salesforce\n\u2022 Productivity Software: Microsoft Office Suite (Excel, PowerPoint, Word, Outlook)\n\u2022 Administrative Systems: ADP, SAP Concur\n\u2022 Quality & Compliance Tools: Electronic Health Record Audit Systems, Core Measure Review PlatformDedicated and results-\ndriven Recruiter/Talent Acquisition Specialist.\n\nPersonal Strengths\n\u2022 Strong leadership and team mentorship abilities\n\u2022 Critical thinking and complex problem-solving\n\u2022 Effective interdisciplinary communication and collaboration\n\u2022 Process improvement and workflow optimization\n\u2022 Independent and solution-focused decision-making\n\u2022 High attention to detail and documentation accuracy\n\u2022 Adaptable to evolving healthcare technologies and remote environments\n\u2022 Empathetic approach to patient advocacy and care coordination\n\nReferences are available upon request", "predicted": "Clinical Nurse Manager Sep 2012 \u2013 Jul 2014\nBarron Center \u2013 Portland, ME\nManaged nursing operations on a 26-bed skilled rehabilitation unit, ensuring effective clinical care delivery.\n \u2022 Supervised nursing staff performance and provided ongoing competency evaluations.\n \u2022 Developed individualized care plans in collaboration with physicians and rehabilitation teams.\n \u2022 Implemented policies and procedures to meet regulatory and accreditation requirements.\n\nRegistered Nurse, Medical-Surgical Unit (Float Pool) Jun 2012 \u2013 Sep 2012\nMercy Hospital \u2013 Portland, ME\nProvided direct patient care within medical-surgical units, ensuring safe and effective treatment delivery.\n \u2022 Performed comprehensive physical assessments and monitored patient progress.\n \u2022 Administered medications and documented interventions per hospital protocols.\n \u2022 Collaborated with multidisciplinary teams to coordinate and plan care.\n\nEDUCATION, CERTIFICATIONS & LICENSURE\n\nBachelor of Science in Nursing (BSN)\nWestern Governors University, Salt Lake City, UT | Graduated January 2019\n\nAssociate of Science in Nursing (ASN)\nCollege of Nursing and Health Professions, Lewiston, ME | Graduated May 2010\n\nCertifications & Licensure\n \u2022 Registered Nurse (RN License #R057634) \u2013 State of Maine\n \u2022 Basic Life Support (BLS) \u2013 Current through December 2027\n \u2022 Educated in: Accountable Care Organizations (ACOs), Patient-Driven Payment Model (PDPM)\n \u2022 Clinical Systems Proficiency: Cerner / PowerChart, EPIC, Quantum, PointClickCare\n \u2022 Utilization Review Tools: InterQual, NaviHealth, CarePort\n \u2022 Analytics & Administrative Systems: Salesforce, Tableau, Microsoft Excel & PowerPoint, ADP, SAP Concur\n\nSKILLS & ADDITIONAL INFORMATION\n\nTechnical Skills\n \u2022 Clinical Systems & EMRs: Cerner / PowerChart, EPIC, Quantum, PointClickCare\n \u2022 Utilization Management Tools: InterQual, NaviHealth, CarePort\n \u2022 Data & Analytics Platforms: Tableau, Salesforce\n \u2022 Productivity Software: Microsoft Office Suite (Excel, PowerPoint, Word, Outlook)\n \u2022 Administrative Systems: ADP, SAP Concur\n \u2022 Quality & Compliance Tools: Electronic Health Record Audit Systems, Core Measure Review PlatformDedicated and results-\n driven Recruiter/Talent Acquisition Specialist.\n\nPersonal Strengths\n \u2022 Strong leadership and team mentorship abilities\n \u2022 Critical thinking and complex problem-solving\n \u2022 Effective interdisciplinary communication and collaboration\n \u2022 Process improvement and workflow optimization\n \u2022 Independent and solution-focused decision-making\n \u2022 High attention to detail and documentation accuracy\n \u2022 Adaptable to evolving healthcare technologies and remote environments\n \u2022 Empathetic approach to patient advocacy and care coordination\n\nReferences are available upon request", "correct": true, "input_tokens": 1178, "output_tokens": 2326, "elapsed_seconds": 34.23333462502342, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9901, "attempts": 1, "retries": 0, "total_seconds": 34.2531}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 15, "image": "e21e8de4-67cb-4b99-acaf-7c73dc28df9f_png.rf.c9c271f7c9fe67f7186ee45aebf42a40.jpg", "expected": "ACS PLUS\n\nADVERTISING COMMUNICATION SERVICES\n\nBloc 17 App 233 1003 Cit\u00e9 les Olympiades\n\nTEL 71 771 324 FAX 71 770 682\n\nCode TVA1243006M/A/M/000\n\nEmail: acs.info@topnet.tn\n\nDEVIS N\u00b0 89-24\n\nClient: IEEE\n\nCode TVA:\n\nAdresse:\n\nT\u00e9l: Fax:\n\nTunis le 12/04/24\n\nCCB : 03210119011500465159A BNA KHERREDINE PACHA\n\n
R\u00e9f\u00e9renceD\u00e9signationQuantit\u00e9P. U.T.V.A.P.H.T.
Rollup 2 x 0,851170.00019%170.000
Pins1201.40019%168.000
Affiche A4 120 g impression R/V301.00019%30.000
Total H.T.368.000
Remise
Total HT368.000
\n\n
Total T.V.A. 10%
Total T.V.A. 7%
Total T.V.A. 19%69.920
Total T.V.A. 29%
Timbre Fiscal1.000
Total T.T.C.438.920
\n\n,\n\nArr\u00eat\u00e9 le pr\u00e9sent devis \u00e0 la somme de:\n\nDIRECTION COMMERCIALE", "predicted": "ACS PLUS\nADVERTISING COMMUNICATION SERVICES\nBloc 17 App 233 1003 Cit\u00e9 les Olympiades\nTEL 71 771 324 FAX 71 770 682\nCode TVA1243006M/A/M/000\nEmail: acs.info@topnet.tn\n\nDEVIS N\u00b0 89-24\n\nClient: IEEE\nCode TVA:\nAdresse:\nT\u00e9l: Fax:\n\nTunis le 12/04/24\n\nCCB : 03210119011500465159A BNA KHERREDINE PACHA\n
R\u00e9f\u00e9renceD\u00e9signationQuantit\u00e9P. U.T.V.A.P.H.T.
Rollup 2 x 0,851170.00019%170.000
Pins1201.40019%168.000
Affiche A4 120 g impression R/V301.00019%30.000
\n
Total H.T.368.000
Remise
Total HT368.000
\n
Total T.V.A. 10%
Total T.V.A. 7%
Total T.V.A. 19%69.920
Total T.V.A. 29%
Timbre Fiscal1.000
Total T.T.C.438.920
\n,\nArr\u00eat\u00e9 le pr\u00e9sent devis \u00e0 la somme de:\n\nDIRECTION COMMERCIALE", "correct": false, "input_tokens": 1194, "output_tokens": 3389, "elapsed_seconds": 41.40200583299156, "metadata": {"question": "Transcribe all text in this document exactly and completely, in reading order, preserving casing, punctuation, currency symbols, and codes. Use an HTML table only for genuinely tabular content, mirroring its rows, columns, and merged cells; write the HTML on single lines with no indentation or blank lines between tags, and collapse horizontal alignment to a single space.", "match_method": "similarity", "score": 0.9191, "attempts": 1, "retries": 0, "total_seconds": 41.412}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 16, "image": "280f2634-897d-499e-9e0e-2426fb6ed193_png.rf.de84ffe2f1cd78e0c4f16f319320c449.jpg", "expected": "Deloitte.\n\nDeloitte Touche Tohmatsu\nIndia LLP\nPrestige Trade Tower, Level 19\n46, Palace Road, High Grounds\nBengaluru - 560 001\nKarnataka, India\n\nTel: +91 80 6188 6000\nFax: +91 80 6188 6011\nwww.deloitte.com\n\nStrictly Private and Confidential\n\nDate: 8 July, 2025\n\nFlipkart Internet Private Limited\nAlyssa Begonia and Clover,\nEmbassy Tech Village ORR,\nDevarabeesanahalli Village,\nVarthur Hobli, Bangalore - 560103, Karnataka\n\nKind Attention: Mr. Kamal Chopra\n\nDear Sir,\n\nRe: Indirect Tax Services \u2013 Engagement Letter\n\nWe thank you for giving an opportunity to Deloitte Touche Tohmatsu India LLP (\u201cDTTI LLP\u201d or \u201cService Provider\u201d) to assist FLIPKART INTERNET PRIVATE LIMITED (\u201cClient\u201d/\u201dFKN\u201d/\u201dCompany\u201d) in Indirect tax services (\u201cServices\u201d) for the benefit of the Client and the subsidiaries and/or Affiliates of the Client as specified in Annexure-2.\n\n(The identified subsidiaries and Affiliates in Annexure-2 together with the Client, are hereinafter collectively referred to as \u201cBeneficiary/(ies)\u201d). The Services will be provided in accordance with and subject to the provisions of this engagement letter (including any Work Orders/Statement of Work and Annexures 1, 2, 3, 4, 5 and 6 hereto) (\u201cEngagement Letter\u201d) and the Standard Tax Terms attached hereto (the Engagement Letter and Standard Tax Terms hereinafter are collectively referred to as collectively \u201cContract\u201d).\n\n1. BACKGROUND\n\n1.1 Flipkart Internet Private Limited is a company which owns the E-commerce portal \u201cFlipkart.com\u201d. It functions as a marketplace wherein various business entities can list their products in the website in return to a fee charged to use its portal.\n\n1.2 We further understand that the company receives revenue through payment gateway services, hosting services, advertisement services, etc and is also engaged in fulfilment services rendered to the sellers listed on the website.\n\n1.3 We would be glad to provide assistance, more specifically described in below paragraph(s).", "predicted": "Deloitte. Deloitte Touche Tohmatsu\nIndia LLP\nPrestige Trade Tower, Level 19\n46, Palace Road, High Grounds\nBengaluru - 560 001\nKarnataka, India\n\nTel: +91 80 6188 6000\nFax: +91 80 6188 6011\nwww.deloitte.com\n\nStrictly Private and Confidential\n\nDate: 8 July, 2025\n\nFlipkart Internet Private Limited\nAlyssa Begonia and Clover,\nEmbassy Tech Village ORR,\nDevarabeesanahalli Village,\nVarthur Hobli, Bangalore - 560103, Karnataka\n\nKind Attention: Mr. Kamal Chopra\n\nDear Sir,\nRe: Indirect Tax Services \u2013 Engagement Letter\n\nWe thank you for giving an opportunity to Deloitte Touche Tohmatsu India LLP (\u201cDTTI LLP\u201d or \u201cService\nProvider\u201d) to assist FLIPKART INTERNET PRIVATE LIMITED (\u201cClient\u201d/\u201dFKN\u201d/\u201dCompany\u201d) in Indirect tax\nservices (\u201cServices\u201d) for the benefit of the Client and the subsidiaries and/or Affiliates of the Client as\nspecified in Annexure-2.\n\n(The identified subsidiaries and Affiliates in Annexure-2 together with the Client, are hereinafter collectively\nreferred to as \u201cBeneficiary/(ies)\u201d). The Services will be provided in accordance with and subject to the\nprovisions of this engagement letter (including any Work Orders/Statement of Work and Annexures 1, 2, 3,\n4, 5 and 6 hereto) (\u201cEngagement Letter\u201d) and the Standard Tax Terms attached hereto (the Engagement\nLetter and Standard Tax Terms hereinafter are collectively referred to as collectively \u201cContract\u201d).\n\n1. BACKGROUND\n\n1.1 Flipkart Internet Private Limited is a company which owns the E-commerce portal \u201cFlipkart.com\u201d.\n It functions as a marketplace wherein various business entities can list their products in the website\n in return to a fee charged to use its portal.\n\n1.2 We further understand that the company receives revenue through payment gateway services,\n hosting services, advertisement services, etc and is also engaged in fulfilment services rendered to\n the sellers listed on the website.\n\n1.3 We would be glad to provide assistance, more specifically described in below paragraph(s).", "correct": true, "input_tokens": 1161, "output_tokens": 3572, "elapsed_seconds": 43.18786516704131, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9929, "attempts": 1, "retries": 0, "total_seconds": 43.2236}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 17, "image": "93441566-50c0-4bfb-9a31-437a2bc5e4f2_png.rf.cd5bf1f53754c220ec912b1c44ade759.jpg", "expected": "2\n3000\nCOUNTER +2000\nActivate:Main Once Per Turn You may add 1 card from your Life area to your hand: This Character gains +2000 power during this turn. Then, give this Character up to 2 rested DON!! cards.\nCHARACTER\nSanji\nStraw Hat Crew\nOP01-013", "predicted": "2 3000 \u6253\nSTRIKE\nCOUNTER +2000\nActivate:Main Once Per Turn You may add 1 card from\nyour Life area to your hand: This Character gains +2000\npower during this turn. Then, give this Character up to 2\nrested DON!! cards.\nCHARACTER\nSanji\nStraw Hat Crew OP01-013 R 1\n\u00a9E.O./S \u00a9E.O./S., T.A. BANDAI MADE IN JAPAN", "correct": false, "input_tokens": 1178, "output_tokens": 1267, "elapsed_seconds": 21.77508874994237, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.7954, "attempts": 1, "retries": 0, "total_seconds": 21.7909}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 18, "image": "2e43ea51-fc34-4d42-8b0f-66b2172d81f7_png.rf.345ac976ac43b542da24279e8683876b.jpg", "expected": "Q.5\n\nLet $L_1$ be the line of intersection of the planes given by the equations\n\n$$2x + 3y + z = 4 \\quad \\text{and} \\quad x + 2y + z = 5.$$\n\nLet $L_2$ be the line passing through the point $P(2, -1, 3)$ and parallel to $L_1$. Let $M$ denote the plane given by the equation\n\n$$2x + y - 2z = 6.$$\n\nSuppose that the line $L_2$ meets the plane $M$ at the point $Q$. Let $R$ be the foot of the perpendicular drawn from $P$ to the plane $M$ .\n\nThen which of the following statements is (are) TRUE?\n\n| | |\n|---|---|\n| (A) | The length of the line segment $PQ$ is $9\\sqrt{3}$ |\n| (B) | The length of the line segment $QR$ is $15$ |\n| (C) | The area of $\\triangle PQR$ is $\\dfrac{3}{2}\\sqrt{234}$ |\n| (D) | The acute angle between the line segments $PQ$ and $PR$ is $\\cos^{-1}\\left(\\dfrac{1}{2\\sqrt{3}}\\right)$ |\n\nAnswer: A, C\n\n3/9", "predicted": "**Q.5**\n\nLet $L_1$ be the line of intersection of the planes given by the equations\n\n$$2x + 3y + z = 4 \\text{ and } x + 2y + z = 5 .$$\n\nLet $L_2$ be the line passing through the point $P(2, -1, 3)$ and parallel to $L_1$. Let $M$ denote the plane given by the equation\n\n$$2x + y - 2z = 6 .$$\n\nSuppose that the line $L_2$ meets the plane $M$ at the point $Q$. Let $R$ be the foot of the perpendicular drawn from $P$ to the plane $M$ .\n\nThen which of the following statements is (are) TRUE?\n\n| | |\n| :--- | :--- |\n| (A) | The length of the line segment $PQ$ is $9\\sqrt{3}$ |\n| (B) | The length of the line segment $QR$ is $15$ |\n| (C) | The area of $\\Delta PQR$ is $\\frac{3}{2}\\sqrt{234}$ |\n| (D) | The acute angle between the line segments $PQ$ and $PR$ is $\\cos^{-1}\\left(\\frac{1}{2\\sqrt{3}}\\right)$ |\n\n**Answer: A, C**\n\n---\n
3/9
", "correct": false, "input_tokens": 1184, "output_tokens": 1423, "elapsed_seconds": 16.731442707940005, "metadata": {"question": "Transcribe every piece of text in this image exactly as written, in reading order, preserving question and option numbering, and omit nothing. Write mathematical expressions in LaTeX and format the result as Markdown that mirrors the layout.", "match_method": "similarity", "score": 0.9202, "attempts": 1, "retries": 0, "total_seconds": 16.7466}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 19, "image": "8b690a3e-b9cd-48e1-a323-981e43142145_png.rf.84216f941b59ba17963217ea5bea26e9.jpg", "expected": "Question 37:\nConsider a system with six I/O-bound processes and one CPU-bound process. Each I/O-bound process executes for 1 ms before blocking for a 12 ms I/O operation. The context-switch overhead is 0.1 ms.\nUsing Round-Robin scheduling:\na. Time quantum = 1 ms\nb. Time quantum = 6 ms\nFor each case:\n\u2022 Draw the execution timeline.\n\u2022 Determine the average waiting time of the CPU-bound process.\n\u2022 Explain how the choice of quantum affects waiting time.\n\nQuestion 38:\nConsider a system with twelve I/O-bound tasks and one CPU-bound task. Each I/O-bound task runs for 1 ms before performing an 8 ms I/O operation.\nUsing Round-Robin scheduling:\na. Time quantum = 1 ms\nb. Time quantum = 4 ms\nFor each case:\n\u2022 Show the sequence of process execution.\n\u2022 Determine the average number of processes in the ready queue.\n\u2022 Explain how the quantum affects queue length.\n\nQuestion 39:\nConsider a system with eight I/O-bound tasks and two CPU-bound tasks. Each I/O-bound task requests an I/O operation after every 2 ms of CPU execution. Each I/O operation requires 12 ms. Using Round-Robin scheduling:\na. Time quantum = 2 ms\nb. Time quantum = 8 ms\nDetermine:\n\u2022 CPU utilization.\n\u2022 I/O device utilization.\n\u2022 Periods when the I/O device is idle.", "predicted": "Question 37:\nConsider a system with six I/O-bound processes and one CPU-bound process. Each I/O-bound\nprocess executes for 1 ms before blocking for a 12 ms I/O operation. The context-switch\noverhead is 0.1 ms.\nUsing Round-Robin scheduling:\n a. Time quantum = 1 ms\n b. Time quantum = 6 ms\nFor each case:\n \u2022 Draw the execution timeline.\n \u2022 Determine the average waiting time of the CPU-bound process.\n \u2022 Explain how the choice of quantum affects waiting time.\n\nQuestion 38:\nConsider a system with twelve I/O-bound tasks and one CPU-bound task. Each I/O-bound task\nruns for 1 ms before performing an 8 ms I/O operation.\nUsing Round-Robin scheduling:\n a. Time quantum = 1 ms\n b. Time quantum = 4 ms\nFor each case:\n \u2022 Show the sequence of process execution.\n \u2022 Determine the average number of processes in the ready queue.\n \u2022 Explain how the quantum affects queue length.\n\nQuestion 39:\nConsider a system with eight I/O-bound tasks and two CPU-bound tasks. Each I/O-bound task\nrequests an I/O operation after every 2 ms of CPU execution. Each I/O operation requires 12\nms. Using Round-Robin scheduling:\n a. Time quantum = 2 ms\n b. Time quantum = 8 ms\nDetermine:\n \u2022 CPU utilization.\n \u2022 I/O device utilization.\n \u2022 Periods when the I/O device is idle.", "correct": false, "input_tokens": 1162, "output_tokens": 1229, "elapsed_seconds": 14.006408874993213, "metadata": {"question": "Transcribe every piece of text in this image exactly as written, in reading order, preserving question and option numbering, and omit nothing. Output as plain text but preserve the visual structure. Do not add any extra markdown styling.", "match_method": "similarity", "score": 0.9495, "attempts": 1, "retries": 0, "total_seconds": 14.0196}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 20, "image": "056e17c9-9b46-496a-9cf8-c1b54bd73216_png.rf.ad6da03e5299b085ff446174b8c6cc4b.jpg", "expected": "```python\nclass Snapshot(BaseModel):\n pageIndex: int = 1\n stateId: str # computed by extension\n interactive: List[InteractiveElement] = Field(default_factory=list)\n extracted: Optional[ExtractedCard] = None\n ts_ms: int\n```", "predicted": "```python\nclass Snapshot(BaseModel):\n pageIndex: int = 1\n stateId: str # computed by extension\n interactive: List[InteractiveElement] = Field(default_factory=list)\n extracted: Optional[ExtractedCard] = None\n ts_ms: int\n```", "correct": true, "input_tokens": 1200, "output_tokens": 1531, "elapsed_seconds": 25.032698667026125, "metadata": {"question": "Transcribe every piece of text in this screenshot exactly as written, in reading order, and omit nothing. Put source code inside fenced code blocks, preserving indentation, quotes, and casing exactly, and transcribe surrounding interface text as Markdown. Transcribe only the complete definition of the `Snapshot` class exactly as it appears in the code editor, including the class line and all its fields, and ignore all other code, editor chrome, file tabs, sidebars, and the terminal.", "match_method": "similarity", "score": 1.0, "attempts": 1, "retries": 0, "total_seconds": 25.073}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 21, "image": "0f7a1b1b-b0f9-4dba-9659-0455701b7a3f_png.rf.a006d974af16d067a2ee124fe9e15f3f.jpg", "expected": "Department of Computer Science and Engineering\nFaculty of Technology & Engineering\nThe M. S. University of Baroda, Vadodara\nS.S BE IV CSE (______)\n\nINDUSTRY PROJECT EVALUATION FORM\n\nName of the Student : Raval Sumit Bharatbhai\nName of Project Guide : Sukhvala Prit Hasmukhbhai\nTitle / Designation : Jr. Salesforce Developer\nEmail of Project Guide : sukhvalaps@gmail.com\nAddress of the Organization : Dev Arcade, U3, Eru Char Rasta, Vejalpore, Jalalpore, Eroo, Navsari, Gujarat-396450\nContact No. : 98751 62607\n\n(Indicate your choice by tick a (\u2713) mark):\n\nHighest-----------------------------------------------------------------Lowest\n\n
Attributes of ObservancePO54321
1Punctuality/ RegularityPO8\u2713
2Sincerity in LearningPO12\u2713
3Enthusiasm to use new technological toolsPO5\u2713
4Team Spirit: Relationship with Team MembersPO9\u2713
5Technical/Programming SkillsPO1\u2713
6Societal Impact of ProjectPO7\u2713
7InnovationPO1,PO5\u2713
8Knowledge of Algorithm OptimizationPO1,PO4\u2713
9Problem Solving AbilityPO2\u2713
10Project Management/Leadership Skills: Taking responsibilitiesPO11\u2713
11Communication SkillsPO10\u2713
12Implementing InstructionsPO3\u2713
13Achievement of DeadlinesPO11\u2713
14Follows Sustainable Development practices in day to day work and project workPO6\u2713
15Overall Performance, Behavior and AttitudePO8\u2713
\n\nPage 1 of 2", "predicted": "Department of Computer Science and Engineering\nFaculty of Technology & Engineering\nThe M. S. University of Baroda, Vadodara\nS.S BE IV CSE ( )\n\nINDUSTRY PROJECT EVALUATION FORM\n\nName of the Student : Raval Sumit Bharatbhai\nName of Project Guide : Sakhvala Prit Hasmukhbhai\nTitle / Designation : Jr. Salesforce Developer\nEmail of Project Guide : sakhvalaps@gmail.com\nAddress of the Organization : Dev Arcade, U3, Eru Char Rasta, Vejalpore, Jalapore, Eroo, Navsari, Gujarat-396450\nContact No. : 98751 62607\n\n(Indicate your choice by tick a (\u221a) mark):\n\nHighest-------------------------------------------------------Lowest\n\n
Attributes of ObservancePO54321
1Punctuality/ RegularityPO8\u2713
2Sincerity in LearningPO12\u2713
3Enthusiasm to use new technological toolsPO5\u2713
4Team Spirit: Relationship with Team MembersPO9\u2713
5Technical/Programming SkillsPO1\u2713
6Societal Impact of ProjectPO7\u2713
7InnovationPO1,PO5\u2713
8Knowledge of Algorithm OptimizationPO1,PO4\u2713
9Problem Solving AbilityPO2\u2713
10Project Management/Leadership Skills: Taking responsibilitiesPO11\u2713
11Communication SkillsPO10\u2713
12Implementing InstructionsPO3\u2713
13Achievement of DeadlinesPO11\u2713
14Follows Sustainable Development practices in day to day work and project workPO6\u2713
15Overall Performance, Behavior and AttitudePO8\u2713
\n\nPage 1 of 2", "correct": true, "input_tokens": 1166, "output_tokens": 1733, "elapsed_seconds": 23.806218125042506, "metadata": {"question": "Transcribe all text in this document exactly and completely, in reading order, preserving casing, punctuation, currency symbols, and codes. Use an HTML table only for genuinely tabular content, mirroring its rows, columns, and merged cells; write the HTML on single lines with no indentation or blank lines between tags, and collapse horizontal alignment to a single space.", "match_method": "similarity", "score": 0.9809, "attempts": 1, "retries": 0, "total_seconds": 23.8216}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 22, "image": "4f216ea0-af67-40e1-a226-2884e051db56_png.rf.b2fadeee17b3985c08325bec449bfd27.jpg", "expected": "NANAVATI\nMAX Super Speciality Hospital\n\n28/11/25\n\nTo\n\nWHOM SO EVER IT MAY CONCERNS\n\nMrs. Tanvi Mehta, 33/F, K/c/o CKD Stage 5 is planned for Live related kidney transplant on 2/12/2025. Post op patient is given immunosuppressants so require Isolation / Single room for infection prevention.\n\nSo kindly consider the same.\n\nFor Dr. Jalin Kotuan.\n\nDr. Balabhai Nanavati Hospital (Charitable) \nS.V. Road, Vile Parle (W), Mumbai - 400 056 \nTel.: +91-22-6134 7500 \nManaged by Max Hospitals and Allied services Limited\n\nwww.nanavatimaxhospital.org", "predicted": "NANAVATI\nMAX Super Speciality 28/11/25\nHospital\nTo\n WHOM SO EVER IT MAY CONCERNS\n Mrs. Tanvi Mehta, 33/F, K/c/o CKD stage 5\nis planned for Live related kidney transplant\non 2/12/2025. Post op patient is given\nimmunosuppressants so recquire Isolation/\nSingle room for infection prevention.\n So kindly consider the same.\nDR. BALABHAI NANAVATI HOSPITAL\n For Dr. Jatin Kothari.\nDr. Balabhai Nanavati Hospital (Charitable)\nS.V. Road, Vile Parle (W), Mumbai - 400 056\nTel.: +91-22-6134 7500\nManaged by Max Hospitals and Allied services Limited\nwww.nanavatimaxhospital.org", "correct": false, "input_tokens": 1140, "output_tokens": 1845, "elapsed_seconds": 23.942137209000066, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.885, "attempts": 1, "retries": 0, "total_seconds": 24.0011}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 23, "image": "058e2b7c-372e-4d28-8921-9686341124d1_png.rf.17dd3d796974c2aef56049a1e6edcee8.jpg", "expected": "Sir Ganga Ram Hospital\nSir Ganga Ram Hospital Marg, Rajinder Nagar,\nNew Delhi-110060, INDIA Tel : +91-11-4225 4000\n\nMedical Superintendent (Offg.)\nSir Ganga Ram Kolmet Hospital, 7-B, Pusa Road,\nNew Delhi-110005. Tel : +91-11-45099999, (D) 45099980\n\nDr. Raj Kamal Agarwal\nSr. Consultant\nDeptt. of Anaesthesiology\nPain & Peri Operative Medicine\nMobile : +91 98101 52201\nE-mail : kamalagarwal300@gmail.com\n\nTO WHOM IT MAY CONCERN\n\nAs per ICMR guideline, the contacts of COVID +ve cases should be put on HOME ISOLATION even with Mild Symptoms\n\nIt is advised that everybody takes these preventive medication apart from following SOCIAL DISTANCING, HAND HYGIENE & WEARING MASK\n\nRx\n\u2022 TAB HYDROXY CHLOROQUINE 400mg once a week\n\u2022 TAB VITAMIN C one gram once a day\n\u2022 TAB ZINC 50 mg once a day\n\nIn case of fever\n\n* \u2022 TAB CROCIN/CALPOL 650 mg SOS\n\nIn case of throat pain & cough\n\n* \u2022 TAB CETRIZINE 10mg once a day.\n\u2022 SYRUP ALEX 2/3 Tea spoon 3 times a day.\n\nDr. RAJ KAMAL AGARWAL\nMBBS, DA\nDMC No. 14517\nSENIOR CONSULTANT\nDEPTT. OF ANAESTHSIOLOGY\nPERIOPERATIVE MEDICINE & PAIN\nSIR GANGARAM HOSPITAL\nRAJINDER NAGAR, NEW DELHI-110060\nPh.9810152201\n\nResidence :\n181, Royalton Tower, Princeton Estate, DLF Phase-V, Gurugram, Haryana", "predicted": "Sir Ganga Ram Hospital\nSir Ganga Ram Hospital Marg, Rajinder Nagar,\nNew Delhi-110060, INDIA Tel : +91-11-4225 4000\nMedical Superintendent (Offg.)\nSir Ganga Ram Kolmet Hospital, 7-B, Pusa Road,\nNew Delhi-110005. Tel : +91-11-45099999, (D) 45099980\n\nDr. Raj Kamal Agarwal\nSr. Consultant\nDeptt. of Anaesthesiology\nPain & Peri Operative Medicine\nMobile : +91 98101 52201\nE-mail : kamalagarwal300@gmail.com\n\n TO WHOM IT MAY CONCERN\n\n As per ICMR guideline, the contacts of\nCOVID +ve cases should be put on HOME\nISOLATION even with Mild Symptoms\n It is advised that everybody takes these\npreventive medication apart from following\nSOCIAL DISTANCING, HAND HYGIENE & WEARING\nMASK\n Rx\n \u2022 TAB HYDROXY CHLOROQUINE 400mg once a week\n \u2022 TAB VITAMIN C one gram once a day\n \u2022 TAB ZINC 50 mg once a day\n In case of fever\n * \u2022 TAB CROCIN / CALPOL 650 mg SOS\n In case of throat pain & cough\n * \u2022 TAB CETRIZINE 10 mg once a day.\n \u2022 SYRUP ALEX 2/3 tea spoon 3 times a day.\n\n [illegible]\n DR. RAJ KAMAL AGARWAL\n MBBS, DA\n DMC No. 4537\n SENIOR CONSULTANT\n DEPTT. OF ANAESTHSIOLOGY\n PERIOPERATIVE MEDICINE & PAIN\n SIR GANGARAM HOSPITAL\n RAJINDER NAGAR, NEW DELHI-110060\n PH: 9810152201\n\n Residence :\n 181, Royalton Tower, Princeton Estate, DLF Phase-V, Gurugram, Haryana-122002", "correct": true, "input_tokens": 1152, "output_tokens": 4818, "elapsed_seconds": 54.526232249918394, "metadata": {"question": "Transcribe all handwritten and printed text exactly as written, reading top to bottom and left to right, and omit nothing; mark only genuinely unreadable words as [illegible]. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.953, "attempts": 1, "retries": 0, "total_seconds": 54.6072}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 24, "image": "1b4e5426-d109-4398-8e45-ab1dc497980f_png.rf.bded2a0f08d8a00ca919034e8f04cf48.jpg", "expected": "Lesson \n1.1\n\nReading (Recognizing Uppercase and Lowercase Letters)\n\nActivity\n\nCircle the matching lowercase letter in each row. The first one has been completed.\n\n| | | | | |\n|---|---|---|---|---|\n| A | c | (a) | e | h |\n| B | v | n | (b) | l |\n| C | a | w | e | (c) |\n| D | (d) | l | t | i |\n| E | b | m | x | (e) |\n| F | e | o | (f) | p |\n| G | h | (g) | r | s |\n| H | v | a | (h) | r |\n| I | c | a | (i) | p |\n| J | t | y | o | (j) |\n| K | (k) | x | d | u |\n| L | o | (l) | a | t |\n| M | b | (m) | n | w |", "predicted": "Lesson\n1.1\n\n# Reading (Recognizing Uppercase and Lowercase Letters)\n\n## Activity\n\n**Circle the matching lowercase letter in each row. The first one has been completed.**\n\n| | | | | |\n| :---: | :---: | :---: | :---: | :---: |\n| A | c | a | e | h |\n| B | v | n | b | l |\n| C | a | w | e | c |\n| D | d | l | t | i |\n| E | b | m | x | e |\n| F | e | o | f | p |\n| G | h | g | r | s |\n| H | v | a | h | r |\n| I | c | a | i | p |\n| J | t | y | o | j |\n| K | k | x | d | u |\n| L | o | l | a | t |\n| M | b | m | n | w |\n\nTabsera", "correct": false, "input_tokens": 1190, "output_tokens": 931, "elapsed_seconds": 30.21715712500736, "metadata": {"question": "Transcribe every piece of text in this image exactly as written, in reading order, preserving question and option numbering, and omit nothing. Write mathematical expressions in LaTeX and format the result as Markdown that mirrors the layout. Ignore the vertical text printed sideways along the page margin.", "match_method": "similarity", "score": 0.8651, "attempts": 1, "retries": 0, "total_seconds": 30.2536}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 25, "image": "9e81338a-33bb-479d-939a-0df376f0a972_png.rf.917d36705351e18951147dc224677339.jpg", "expected": "yes exactly! a bit like i'm being manipulated in some creepy way. \"please like me, look how much i know about you, we are good friends\".", "predicted": "Andrej Karpathy @karpathy \u00b7 1\u5c0f\u65f6\nyes exactly! a bit like i'm being manipulated in some creepy way. \"please like\nme, look how much i know about you, we are good friends\".\n4 2 105 4,300", "correct": false, "input_tokens": 1184, "output_tokens": 1184, "elapsed_seconds": 17.325356959016062, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom, keeping each author's handle with their message, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the last (bottom-most) tweet authored by Andrej Karpathy (@karpathy).", "match_method": "similarity", "score": 0.7418, "attempts": 1, "retries": 0, "total_seconds": 17.3614}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 26, "image": "e6e06b1b-da53-41ac-bfdf-9316443ff037_png.rf.39688157a0a030c060170f7400170d30.jpg", "expected": "31/3/24 AI OCR Tools\n\nQuite unusually for me, this essay started its life as a scribble in a notebook rather than something I typed into a markdown editor. A few weeks ago Tiago Forte made a short video suggesting that people can use GPT4-V to capture their hand-written notes digitally. I've been looking for a \"smart\" OCR tool that can process my terribly scratchy, spidery hand writing for many years and none have quite cut the mustard. But, I thought, why not give it a go. To my absolute surprise, GPT did a phenomenal job of parsing my scrawlings and spitting out text. I was seriously impressed. Handwriting OCR has now gone from a fun toy and conversation piece to something I can actually, seriously use in my workflow. So then, is GPT via ChatGPT the best option I've got for this task or are there any FOSS tools and models that I could use instead?\n\nThe Closest option: CRAFT-TROCR\n\nI played with this a couple of years ago and it was reasonably good at certain content but only if I write in my very best hand writing all the time. And I don't do that because when I am taking notes in a meeting or something, I am thinking about the meeting, not my hand writing.\n\nHow does CRAFT-TROCR work? Are there any major differences? I'm guessing a big transformer model is able to maximise probability globally across the image + the generated text.\n\n68", "predicted": "31/3/24 AI OCR Tools\n\nQuite unusually for me, this essay started its life\nas a scribble in a notebook rather than something\nI typed into a markdown editor. A few weeks ago\nTiago Forte made a short video suggesting that\npeople can use GPT4-V to capture their hand-written\nnotes digitaly. I've been looking for a \"smart\"\nOCR tool that can process my terribly scratchy,\nspidery hand writing for many years and none have\nquite cut the mustard. But, I thought, why not\ngive it a go. To my absolute surprise, GPT did\na phenomenal job of parsing my scrawlings and\nspitting out text. I was seriously impressed.\nHandwriting OCR has now gone from a fun toy\nand conversation piece to something I can actually, seriously\nuse in my workflow. So then, is GPT via ChatGPT\nthe best option I've got for this task or are\nthere any FOSS tools and models that I could\nuse instead?\n\nThe Classic option: CRAFT-TROCR\n\nI played with this a couple of years ago and\nit was reasonably good at certain content but only\nif I write in my very best hand writing all the time.\nAnd I don't do that because when I am taking\nnotes in a meeting or something, I am thinking about\nthe meeting, not my hand writing.\n\nHow does CRAFT-TROCR work? Are there any major\ndifferences? I'm guessing a big transformer model\nis able to maximise probability globally across the\nimage + the generated text.\n\n68", "correct": true, "input_tokens": 1210, "output_tokens": 2795, "elapsed_seconds": 55.11359054094646, "metadata": {"question": "Transcribe all handwritten and printed text exactly as written, reading top to bottom and left to right, and omit nothing; mark only genuinely unreadable words as [illegible]. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the text on the left page of the notebook, ignoring the partially visible right page.", "match_method": "similarity", "score": 0.9779, "attempts": 1, "retries": 0, "total_seconds": 55.1619}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 27, "image": "d1d7aaf7-169c-4847-866d-61bc0a6784b4_png.rf.47c7117d83bf6448f821dbc28e0e6255.jpg", "expected": "R\u00c9PUBLIQUE FRAN\u00c7AISE\nCARTE NATIONALE D'IDENTIT\u00c9 / IDENTITY CARD\n\nNOM / Surname \nMARTIN\n\nPr\u00e9noms / Given names \nMa\u00eblys Ga\u00eblle, Marie\n\nSEXE / Sex\nF\n\nNATIONALIT\u00c9 / Nationality\nFRA\n\nDATE DE NAISS. / Date of birth \n13 07 1990\n\nLIEU DE NAISSANCE / Place of birth \nPARIS\n\nNOM D'USAGE / Alternate name \nNOM D'USAGE\n\nN\u00b0 DU DOCUMENT / Document No. \nX4RTBPFW4\n\nDATE D'EXPIR. / Expiry date \n11 02 2030\n\nSignature\n\n384213", "predicted": "R\u00c9PUBLIQUE FRAN\u00c7AISE FR\nCARTE NATIONALE D'IDENTIT\u00c9 / IDENTITY CARD\nNOM / Surname\nMARTIN\nPr\u00e9noms / Given names\nMa\u00eblys-Ga\u00eblle, Marie\nSEXE / Sex NATIONALIT\u00c9 / Nationality DATE DE NAISS. / Date of birth\nF FRA 13 07 1990\nLIEU DE NAISSANCE / Place of birth\nPARIS\nNOM D'USAGE / Alternate name\nNOM D'USAGE\nN\u00b0 DU DOCUMENT / Document No. DATE D'EXPIR. / Expiry date\nX4RTBPFW4 11 02 2030\n384213", "correct": false, "input_tokens": 1179, "output_tokens": 1680, "elapsed_seconds": 54.30771212500986, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the main identity document, reading top to bottom and left to right, and ignore the vertical text along the left edge, the signature graphic, and the faint background watermark.", "match_method": "similarity", "score": 0.8504, "attempts": 1, "retries": 0, "total_seconds": 54.3698}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 28, "image": "bcd74d99-f2d8-4005-aa54-2cc083e5a293_png.rf.1d000af6e7da39b4a95398db67f4bcbb.jpg", "expected": "4/16/26, 3:09 PM\n\nDocs\n\nGetting Started with Docker setup\n\nTo begin developing and deploying applications within this environment, you must have Docker Engine and the Docker Compose plugin installed. Follow the steps below to set up the environment on a Debian/Ubuntu-based system.\n\n1. Update the Package Index\n\nsudo apt update\n\nsudo apt install -y ca-certificates curl gnupg lsb-release\n\ncurl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --dearmor -o /etc/apt/keyrings/docker.gpg\n\nsudo chmod a+r /etc/apt/keyrings/docker.gpg\n\necho \\\n \"deb [arch=$(dpkg --print-architecture) signed-by=/etc/apt/keyrings/docker.gpg] https://download.docker.com/linux/ubuntu \\\n $(. /etc/os-release && echo \"$VERSION_CODENAME\") stable\" | \\\n sudo tee /etc/apt/sources.list.d/docker.list > /dev/null\n\nsudo apt update\n\nsudo apt install -y docker-ce docker-ce-cli containerd.io docker-buildx-plugin docker-compose-plugin", "predicted": "4/16/26, 3:09 PM Docs\n\nGetting Started with Docker setup\n\nTo begin developing and deploying applications within this environment, you must\nhave Docker Engine and the Docker Compose plugin installed. Follow the steps\nbelow to set up the environment on a Debian/Ubuntu-based system.\n\n1. Update the Package Index\n\nsudo apt update\n\nsudo apt install -y ca-certificates curl gnupg lsb-release\n\ncurl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --\ndearmor -o /etc/apt/keyrings/docker.gpg\n\nsudo chmod a+r /etc/apt/keyrings/docker.gpg\n\necho \\\n \"deb [arch=$(dpkg --print-architecture) signed-\nby=/etc/apt/keyrings/docker.gpg]\nhttps://download.docker.com/linux/ubuntu \\\n $(. /etc/os-release && echo \"$VERSION_CODENAME\") stable\" | \\\n sudo tee /etc/apt/sources.list.d/docker.list > /dev/null\n\nsudo apt update\n\nsudo apt install -y docker-ce docker-ce-cli containerd.io docker-\nbuildx-plugin docker-compose-plugin", "correct": true, "input_tokens": 1161, "output_tokens": 1680, "elapsed_seconds": 17.21518349996768, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9913, "attempts": 1, "retries": 0, "total_seconds": 17.2246}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 29, "image": "8aa12106-fbe5-4983-96bf-a1243a7c4020_png.rf.83832cdeaaf470d6954bbada16920ccd.jpg", "expected": "\"Jade City\"\nBaan 16 - 8256 AX\nBiddinghuizen\n\nT.Nr: L7\n\n
1 Gebraden magere spek met pikante saus a 19.50 (1 Nasi a EUR 1.00)EUR20.50
1 Chinese bami a la \"Jade City\" a 19.00EUR19.00
1 Babi pangang met pikante saus a 19.00 (1 Nasi a EUR 1.00)EUR20.00
1 Koe Loe Kai a 18.00 (1 Nasi a EUR 1.00)EUR19.00
1 Ossenhaas met oestersaus a 21.00EUR21.00
2 Dame blanche(ijs.choc.slagroom)EUR9.00
1 Cola a 3.25EUR3.25
2 Cola-max a 3.25EUR6.50
1 Sinas a 3.25EUR3.25
1 Seven-up a 3.25EUR3.25
2 ice thee met prik a 3.75EUR7.50
3 ijs a 4.00EUR12.00
\n\n============ +\nTotaal: EUR 144.25\n============\n\nBTW 9.0% EUR 11.91\n\nBedankt voor Uw bezoek\nRabobank NL29 0348178123\nKvk 39037611", "predicted": "\"Jade City\"\nBaan 16 - 8256 AX\nBiddinghuizen\n\nT.Nr: L7\n\n
1 Gebraden magere spek metEUR20.50
pikante saus a 19.50
(1 Nasi a EUR 1.00)
1 Chinese bami a la \"JadeEUR19.00
City\" a 19.00
1 Babi pangang met pikanteEUR20.00
saus a 19.00
(1 Nasi a EUR 1.00)
1 Koe Loe Kai a 18.00EUR19.00
(1 Nasi a EUR 1.00)
1 Ossenhaas met oestersausEUR21.00
a 21.00
2 DameEUR9.00
blanche(ijs.choc.slagroom)
1 Cola a 3.25EUR3.25
2 Cola-max a 3.25EUR6.50
1 Sinas a 3.25EUR3.25
1 Seven-up a 3.25EUR3.25
2 ice thee met prik a 3.75EUR7.50
3 ijs a 4.00EUR12.00
=========== +
Totaal:EUR144.25
===========
\n\nBTW 9.0% EUR 11.91\n\nBedankt voor Uw bezoek\nRabobank NL29 0348178123\nKvk 39037611", "correct": false, "input_tokens": 1204, "output_tokens": 3994, "elapsed_seconds": 42.25325162510853, "metadata": {"question": "Transcribe all text in this document exactly and completely, in reading order, preserving casing, punctuation, currency symbols, and codes. Use an HTML table only for genuinely tabular content, mirroring its rows, columns, and merged cells; write the HTML on single lines with no indentation or blank lines between tags, and collapse horizontal alignment to a single space. Transcribe only the main receipt in the foreground, and ignore the upside-down, semi-transparent receipt behind it.", "match_method": "similarity", "score": 0.6682, "attempts": 1, "retries": 0, "total_seconds": 42.3205}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 30, "image": "11b83a24-c9b8-4d9a-b4db-b73d396719cd_png.rf.358e9a65b048e920c8eacbd7b7fb1df6.jpg", "expected": "Something tells me that if they released their chat/tool/hyper-param templates which they use on their cloud service, there'd be a lot more love and acceptance. Why anyone is still using a llama.cpp wrapper anymore is the better question and beyond me.", "predicted": "Eric @Ex0byt \u00b7 1\u5c0f\u65f6\nSomething tells me that if they released their chat/tool/hyper-param\ntemplates which they use on their cloud service, there\u2019d be a lot more love\nand acceptance. Why anyone is still using a llama.cpp wrapper anymore is\nthe better question and beyond me.\n40", "correct": false, "input_tokens": 1199, "output_tokens": 1513, "elapsed_seconds": 19.694265707978047, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom, keeping each author's handle with their message, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the reply authored by Eric (@Ex0byt).", "match_method": "similarity", "score": 0.9051, "attempts": 1, "retries": 0, "total_seconds": 19.7265}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 31, "image": "fc6e5e8d-4b33-4a20-a63a-96c0205ae8f6_png.rf.6cdeb04c221a85b1895ded05acdbfa1b.jpg", "expected": "When recorded return to:\nSTRIBLING LAW FIRM PO\n101 E MCINTOSH ST\nMILLEDGEVILLE GA 3106\n\nDoc ID: 001029530008 Type: GLR\nRecorded: 10/21/2013 at 04:07:30 PM\nPage 1 of 8\nBaldwin, Ga. Clerk Superior Court\nRosemary Phillips Clerk of Courts\nBK 1150 PG 483-490\n\nFILED & RECORDED\nCLERK, SUPERIOR COURT\nBALDWIN COUNTY, GA\n2013 OCT 21 PM 4: 07\nBY\nROSEMARY PHILLIPS, CLERK\n\nDeed To Secure Debt\n(With Future Advance Clause)\n\n1. Date and Parties. The date of this Deed to Secure Debt (Security Instrument) is OCTOBER 21, 2013\n. The parties and their addresses are:\n\nGrantor: THE BRACK FAMILY LIMITED\nPARTNERSHIP\n891 S JEFFERSON STREET SE\nMILLEDGEVILLE GA 31061\n\n\u2610 If checked, refer to the attached Addendum incorporated herein, for additional Grantors, their signatures\nand acknowledgments.\n\nGrantee: CENTURY BANK AND TRUST\n(\"Lender\") 141 S WAYNE ST\nMILLEDGEVILLE, GA 31061-5708\n\n2. Conveyance. For good and valuable consideration, the receipt and sufficiency of which is acknowledged,\nand to secure the Secured Debt (defined below) and Grantor\u2019s performance under this Security Instrument,\nGrantor irrevocably grants, bargains, transfers, conveys and sells to Lender, with power of sale, the\nfollowing described property:\n*SEE EXHIBIT 'A' ATTACHED HERETO AND INCORPORATED HEREIN BY REFERENCE.\n\nThe property is located in BALDWIN at\n(County)\n101 KINGS RD , MILLEDGEVILLE , Georgia 31061-0000\n(Address) (City) (ZIP Code)\nTogether with all rights, easements, appurtenances, royalties, mineral rights, oil and gas rights, all water and\nriparian rights, ditches, and water stock and all existing and future improvements, structures, fixtures, and\nreplacements that may now, or at any time in the future, be part of the real estate described above (all\nreferred to as \"Property\").\n\n3. Maximum Obligation Limit. The total principal amount secured by this Security Instrument at any one time\nshall not exceed $ UNLIMITED . This limitation of amount does not include\ninterest and other fees and charges validly made pursuant to this Security Instrument. Also, this limitation\ndoes not apply to advances made under the terms of this Security Instrument to protect Lender\u2019s security and\nto perform any of the covenants contained in this Security Instrument.\n\nReal Estate Security Instrument-Consumer-GA\nVMP\u00ae Bankers Systems\u2122\nWolters Kluwer Financial Services \u00a9 1994, 2011\n\nRE-DSD-GA 1/24/2011\nVMPC231(GA) (1101).00\nPage 1 of 6\n\nBB R# 189300", "predicted": "When recorded return to:\nSTRIBLING LAW FIRM PC 2\n101 E MCINTOSH ST\nMILLEDGEVILLE GA 31061\n\nDoc ID: 001029530008 Type: GLR\nRecorded: 10/21/2013 at 04:07:30 PM\nPage 1 of 8\nBaldwin, Ga. Clerk Superior Court\nRosemary Phillips Clerk of Courts\nBK 1150 PG483-490\n\nFILED & RECORDED\nCLERK, SUPERIOR COURT\nBALDWIN COUNTY, GA\n2013 OCT 21 PM 4: 07\nBY Barbara Boyer\nROSEMARY PHILLIPS, CLERK\nDpty Clerk\n\nDeed To Secure Debt\n(With Future Advance Clause)\n\n1. Date and Parties. The date of this Deed to Secure Debt (Security Instrument) is OCTOBER 21, 2013\n . The parties and their addresses are:\n\n Grantor: THE BRACK FAMILY LIMITED\n PARTNERSHIP\n 891 S JEFFERSON STREET SE\n MILLEDGEVILLE GA 31061\n\n If checked, refer to the attached Addendum incorporated herein, for additional Grantors, their signatures\n and acknowledgments.\n\n Grantee: CENTURY BANK AND TRUST\n (\"Lender\") 141 S WAYNE ST\n MILLEDGEVILLE, GA 31061-5708\n\n2. Conveyance. For good and valuable consideration, the receipt and sufficiency of which is acknowledged,\n and to secure the Secured Debt (defined below) and Grantor's performance under this Security Instrument,\n Grantor irrevocably grants, bargains, transfers, conveys and sells to Lender, with power of sale, the\n following described property:\n *SEE EXHIBIT 'A' ATTACHED HERETO AND INCORPORATED HEREIN BY REFERENCE.\n\n The property is located in BALDWIN at\n (County)\n101 KINGS RD , MILLEDGEVILLE , Georgia 31061-0000\n (Address) (City) (ZIP Code)\n Together with all rights, easements, appurtenances, royalties, mineral rights, oil and gas rights, all water and\n riparian rights, ditches, and water stock and all existing and future improvements, structures, fixtures, and\n replacements that may now, or at any time in the future, be part of the real estate described above (all\n referred to as \"Property\").\n\n3. Maximum Obligation Limit. The total principal amount secured by this Security Instrument at any one time\n shall not exceed $ UNLIMITED . This limitation of amount does not include\n interest and other fees and charges validly made pursuant to this Security Instrument. Also, this limitation\n does not apply to advances made under the terms of this Security Instrument to protect Lender's security and\n to perform any of the covenants contained in this Security Instrument.\n\nReal Estate Security Instrument-Consumer-GA RE-DSD-GA 1/24/2011\nVMP\u00ae Bankers Systems\u2122 VMPC231(GA) (1101).00\nWolters Kluwer Financial Services \u00a9 1994, 2011 Page 1 of 6\n\n BB R# 189300", "correct": false, "input_tokens": 1168, "output_tokens": 3387, "elapsed_seconds": 36.455447165993974, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.942, "attempts": 1, "retries": 0, "total_seconds": 36.4856}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 32, "image": "c05c3288-ac14-47d6-8756-9ad484ae9696_png.rf.0ff67a7a39c5d5c7c9739988d851c032.jpg", "expected": "COST OF LIVING\n\nThe following figures are a general guide to essential monthly expenses for an expatriate executive living in Azerbaijan.\n\nMarried\nSingle couple with\nperson two children\n(US$) (US$)\n\nRent 800 3,000\nFood 300 1,200\nTransport 150 300\nUtilities 100 150\nEducation n. a. 1,000\nMiscellaneous 500 1,000\n\nTotal 1,850 6,650", "predicted": "COST OF LIVING\n\nThe following figures are a general guide to\nessential monthly expenses for an expatriate\nexecutive living in Azerbaijan.\n\nMarried\nSingle couple with\nperson two children\n(US$) (US$)\nRent 800 3,000\nFood 300 1,200\nTransport 150 300\nUtilities 100 150\nEducation n. a. 1,000\nMiscellaneous 500 1,000\nTotal 1,850 6,650", "correct": true, "input_tokens": 1164, "output_tokens": 688, "elapsed_seconds": 8.89896299992688, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9878, "attempts": 1, "retries": 0, "total_seconds": 8.9404}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 33, "image": "5327a38f-11a2-45f2-9a38-e1375dfbeb43_png.rf.b6a2243d098302d780056ad980a16a9c.jpg", "expected": "Probabilistic two-stage detection\n\ncosts of the second stage. Our second stage makes full use of years of progress in two-stage detection (Cai & Vasconcelos, 2018; Chen et al., 2019a) and yields a significant increase in detection accuracy over one-stage baselines. It also easily scales to large-vocabulary detection.\n\nExperiments on COCO (Lin et al., 2014), LVIS (Gupta et al., 2019), and Objects365 (Shao et al., 2019) demonstrate that our probabilistic two-stage framework boosts the accuracy of a strong CascadeRCNN model by 1-3 mAP, while also improving its speed. Using a standard ResNeXt-101-DCN backbone with a CenterNet (Zhou et al., 2019a) first stage, our detector achieves 50.2 mAP on COCO test-dev. With a strong Res2Net-101-DCN-BiFPN (Gao et al., 2019a; Tan et al., 2020b) backbone and self-training (Zoph et al., 2020), it achieves 56.4 mAP with single-scale testing, outperforming all published results. Using a small DLA-BiFPN backbone and lower input resolution, we achieve 49.2 mAP on COCO at 33 fps on a Titan Xp, outperforming the popular YOLOv4 model (43.5 mAP at 33 fps) on the same hardware. Code and models are release at https://github.com/xingyizhou/CenterNet2.\n\n2. Related Work\n\nOne-stage detectors jointly predict an output class and location of objects densely throughout the image. RetinaNet (Lin et al., 2017b) classifies a set of predefined sliding anchor boxes and handles the foreground-background imbalance by reweighting losses for each output. FCOS (Tian et al., 2019) and CenterNet (Zhou et al., 2019a) eliminate the need of multiple anchors per pixel and classify foreground/background by location. ATSS (Zhang et al., 2020b) and PAA (Kim & Lee, 2020) further improve FCOS by changing the definition of foreground and background. GFL (Li et al., 2020b) and Autoassign (Zhu et al., 2020a) change the hard foreground-background assignment to a weighted soft assignment. AlignDet (Chen et al., 2019c) uses a deformable convolution layer before the output to gather richer features for classification and regression. RepPoint (Yang et al., 2019) and DenseRepPoint (Yang et al., 2020) encode bounding boxes as the outline of a set of points and use the features of the point set for classification. BorderDet (Qiu et al., 2020) pools features along the bounding box for better localization. Most one-stage detectors have a sound probabilistic interpretation.\n\nWhile one-stage detectors have achieved competitive performance (Zhang et al., 2020b; Kim & Lee, 2020; Zhang et al., 2019; Li et al., 2020b; Zhu et al., 2020a), they usually rely on heavier separate classification and regression branches than two-stage models. In fact, they are no longer faster than their two-stage counterparts if the vocabulary (i.e., the set of object classes) is large (as in the LVIS or Objects365 datasets). Also, one-stage detectors only use the local features of the positive cell for regression and classification, which is sometimes misaligned with the object (Chen et al., 2019c; Song et al., 2020).\n\nOur probabilistic two-stage framework retains the probabilistic interpretation of one-stage detectors, but factorizes the probability distribution over multiple stages, improving both accuracy and speed.\n\nTwo-stage detectors first use a region proposal network (RPN) to generate coarse object proposals, and then use a dedicated per-region head to classify and refine them. Faster-RCNN (Ren et al., 2015; He et al., 2017) uses two fully-connected layers as the RoI heads. CascadeRCNN (Cai & Vasconcelos, 2018) uses three cascaded stages of Faster-RCNN, each with a different positive threshold so that the later stages focus more on localization accuracy. HTC (Chen et al., 2019a) utilizes additional instance and semantic segmentation annotations to enhance the inter-stage feature flow of CascadeRCNN. TSD (Song et al., 2020) decouples the classification and localization branches for each RoI.\n\nTwo-stage detectors are still more accurate in many settings (Gupta et al., 2019; Sun et al., 2020; Kuznetsova et al., 2018). Currently, all two-stage detectors use a relatively weak RPN that maximizes the recall of the top 1K proposals, and does not utilize the proposal score at test time. The large number of proposals slows the system down, and the recall-based proposal network does not directly offer the same clear probabilistic interpretation as one-stage detectors. Our framework addresses this, and integrates a strong class-agnostic single-stage object detector with later classification stages. Our first stage uses fewer, but higher quality, regions, yielding both faster inference and higher accuracy.\n\nOther detectors. A family of object detectors identify objects via points in the image. CornerNet (Law & Deng, 2018) detects the top-left and bottom-right corners and groups them using an embedding feature. ExtremeNet (Zhou et al., 2019b) detects four extreme points and groups them using an additional center point. Duan et al. (2019) detect the center point and use it to improve corner grouping. Corner Proposal Net (Duan et al., 2020) uses pairwise corner groupings as region proposals. CenterNet (Zhou et al., 2019a) detects the center point and regresses the bounding box parameters from it.\n\nDETR (Carion et al., 2020) and Deformable DETR (Zhu et al., 2020c) remove the dense output in a detector, and instead use a Transformer (Vaswani et al., 2017) that directly predicts a set of bounding boxes.\n\nThe major difference between point-based detectors, DETR, and conventional detectors lies in the network architecture. Point-based detectors use a fully-convolutional network (Newell et al., 2016; Yu et al., 2018), usually with symmetric downsampling and upsampling layers, and pro-", "predicted": "Probabilistic two-stage detection\n\ncosts of the second stage. Our second stage makes full use\nof years of progress in two-stage detection (Cai & Vascon-\ncelos, 2018; Chen et al., 2019a) and yields a significant\nincrease in detection accuracy over one-stage baselines. It\nalso easily scales to large-vocabulary detection.\nExperiments on COCO (Lin et al., 2014), LVIS (Gupta\net al., 2019), and Objects365 (Shao et al., 2019) demon-\nstrate that our probabilistic two-stage framework boosts the\naccuracy of a strong CascadeRCNN model by 1-3 mAP,\nwhile also improving its speed. Using a standard ResNeXt-\n101-DCN backbone with a CenterNet (Zhou et al., 2019a)\nfirst stage, our detector achieves 50.2 mAP on COCO test-\ndev. With a strong Res2Net-101-DCN-BiFPN (Gao et al.,\n2019a; Tan et al., 2020b) backbone and self-training (Zoph\net al., 2020), it achieves 56.4 mAP with single-scale testing,\noutperforming all published results. Using a small DLA-\nBiFPN backbone and lower input resolution, we achieve\n49.2 mAP on COCO at 33 fps on a Titan Xp, outperforming\nthe popular YOLOv4 model (43.5 mAP at 33 fps) on the\nsame hardware. Code and models are release at https:\n//github.com/xingyizhou/CenterNet2.\n\n2. Related Work\nOne-stage detectors jointly predict an output class and\nlocation of objects densely throughout the image. Reti-\nnaNet (Lin et al., 2017b) classifies a set of predefined sliding\nanchor boxes and handles the foreground-background im-\nbalance by reweighting losses for each output. FCOS (Tian\net al., 2019) and CenterNet (Zhou et al., 2019a) elimi-\nnate the need of multiple anchors per pixel and classify\nforeground/background by location. ATSS (Zhang et al.,\n2020b) and PAA (Kim & Lee, 2020) further improve FCOS\nby changing the definition of foreground and background.\nGFL (Li et al., 2020b) and Autoassign (Zhu et al., 2020a)\nchange the hard foreground-background assignment to a\nweighted soft assignment. AlignDet (Chen et al., 2019c)\nuses a deformable convolution layer before the output to\ngather richer features for classification and regression. Rep-\nPoint (Yang et al., 2019) and DenseRepPoint (Yang et al.,\n2020) encode bounding boxes as the outline of a set of\npoints and use the features of the point set for classification.\nBorderDet (Qiu et al., 2020) pools features along the bound-\ning box for better localization. Most one-stage detectors\nhave a sound probabilistic interpretation.\nWhile one-stage detectors have achieved competitive perfor-\nmance (Zhang et al., 2020b; Kim & Lee, 2020; Zhang et al.,\n2019; Li et al., 2020b; Zhu et al., 2020a), they usually rely\non heavier separate classification and regression branches\nthan two-stage models. In fact, they are no longer faster\nthan their two-stage counterparts if the vocabulary (i.e., the\nset of object classes) is large (as in the LVIS or Objects365\ndatasets). Also, one-stage detectors only use the local fea-\nture of the positive cell for regression and classification,\nwhich is sometimes misaligned with the object (Chen et al.,\n2019c; Song et al., 2020).\nOur probabilistic two-stage framework retains the proba-\nbilistic interpretation of one-stage detectors, but factorizes\nthe probability distribution over multiple stages, improving\nboth accuracy and speed.\nTwo-stage detectors first use a region proposal network\n(RPN) to generate coarse object proposals, and then use a\ndedicated per-region head to classify and refine them. Faster-\nRCNN (Ren et al., 2015; He et al., 2017) uses two fully-\nconnected layers as the RoI heads. CascadeRCNN (Cai &\nVasconcelos, 2018) uses three cascaded stages of Faster-\nRCNN, each with a different positive threshold so that the\nlater stages focus more on localization accuracy. HTC (Chen\net al., 2019a) utilizes additional instance and semantic seg-\nmentation annotations to enhance the inter-stage feature\nflow of CascadeRCNN. TSD (Song et al., 2020) decouples\nthe classification and localization branches for each RoI.\nTwo-stage detectors are still more accurate in many set-\ntings (Gupta et al., 2019; Sun et al., 2020; Kuznetsova et al.,\n2018). Currently, all two-stage detectors use a relatively\nweak RPN that maximizes the recall of the top 1K propos-\nals, and does not utilize the proposal score at test time. The\nlarge number of proposals slows the system down, and the\nrecall-based proposal network does not directly offer the\nsame clear probabilistic interpretation as one-stage detec-\ntors. Our framework addresses this, and integrates a strong\nclass-agnostic single-stage object detector with later classi-\nfication stages. Our first stage uses fewer, but higher quality,\nregions, yielding both faster inference and higher accuracy.\nOther detectors. A family of object detectors iden-\ntify objects via points in the image. CornerNet (Law\n& Deng, 2018) detects the top-left and bottom-right cor-\nners and groups them using an embedding feature. Ex-\ntremeNet (Zhou et al., 2019b) detects four extreme points\nand groups them using an additional center point. Duan\net al. (2019) detect the center point and use it to improve\ncorner grouping. Corner Proposal Net (Duan et al., 2020)\nuses pairwise corner groupings as region proposals. Cen-\nterNet (Zhou et al., 2019a) detects the center point and\nregresses the bounding box parameters from it.\nDETR (Carion et al., 2020) and Deformable DETR (Zhu\net al., 2020c) remove the dense output in a detector, and\ninstead use a Transformer (Vaswani et al., 2017) that directly\npredicts a set of bounding boxes.\nThe major difference between point-based detectors, DETR,\nand conventional detectors lies in the network architec-\nture. Point-based detectors use a fully-convolutional net-\nwork (Newell et al., 2016; Yu et al., 2018), usually with\nsymmetric downsampling and upsampling layers, and pro-", "correct": true, "input_tokens": 1156, "output_tokens": 6006, "elapsed_seconds": 50.25269062502775, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9789, "attempts": 1, "retries": 0, "total_seconds": 50.2936}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 34, "image": "f3701711-56c0-4e6d-94ad-edbe5931b13c_png.rf.0dfe995026d12d57bfa8621b501a51c9.jpg", "expected": "Table.10 Nutrient availability after harvesting of pigeon pea (pooled data of 3 years).\n\n
Tr.TreatmentsAvailable NAvailable PAvailable KDTPA-FeDTPA-ZnDTPA-CuDTPA-Mn
Kg ha-1mgkg-1
T1Absolute control (No Fertilizers)144.536.11535.003.350.411.114.60
T2RDF only (25:50:00 NPK/ha)147.517.21539.673.390.431.134.69
T3RDF+ 25 Kg K2O/ha148.427.57558.933.520.441.154.79
T4RDF+ 50 Kg K2O/ha154.517.71560.003.520.441.224.81
T5RDF+ 25 Kg K2O/ha+ Grade I micronutrient (soil application)154.697.59562.003.580.561.325.79
T6RDF+ 50Kg K2O/ha + Grade I micronutrient (soil application)157.918.16596.003.830.581.346.11
T7RDF+ 25 Kg K2O/ha + Grade II micronutrient (0.5 % foliar spray)155.407.90592.003.590.451.265.53
T8RDF+ 50 Kg K2O/ha + Grade II micronutrient (0.5 % foliar spray)157.058.12595.003.710.451.315.70
T9RDF+ 25 Kg K2O/ha + 2 % KNO3(foliar spray)148.677.60558.003.530.421.155.51
T10RDF+ 50 Kg K2O/ha + 2 % KNO3(foliar spray)152.517.77592.673.450.431.235.54
SEm (\u00b1)1.900.4111.300.020.020.010.32
CD at 5 %5.631.2733.540.060.030.97
Grand mean152.127.57568.933.540.081.225.31
\n\n13", "predicted": "Table.10 Nutrient availability after harvesting of pigeon pea (pooled data of 3 years).\n\n
Tr.TreatmentsAvailable NAvailable PAvailable KDTPA-FeDTPA-ZnDTPA-CuDTPA-Mn
Kg ha\u207b\u00b9mgkg\u207b\u00b9
T\u2081Absolute control (No Fertilizers)144.536.11535.003.350.411.114.60
T\u2082RDF only (25:50:00 NPK/ha)147.517.21539.673.390.431.134.69
T\u2083RDF+ 25 Kg K\u2082O/ha148.427.57558.933.520.441.154.79
T\u2084RDF+ 50 Kg K\u2082O/ha154.517.71560.003.520.441.224.81
T\u2085RDF+ 25 Kg K\u2082O/ha+ Grade I micronutrient (soil application)154.697.59562.003.580.561.325.79
T\u2086RDF+ 50Kg K\u2082O/ha + Grade I micronutrient (soil application)157.918.16596.003.830.581.346.11
T\u2087RDF+ 25 Kg K\u2082O/ha + Grade II micronutrient (0.5 % foliar spray)155.407.90592.003.590.451.265.53
T\u2088RDF+ 50 Kg K\u2082O/ha + Grade II micronutrient (0.5 % foliar spray)157.058.12595.003.710.451.315.70
T\u2089RDF+ 25 Kg K\u2082O/ha + 2 % KNO\u2083(foliar spray)148.677.60558.003.530.421.155.51
T\u2081\u2080RDF+ 50 Kg K\u2082O/ha + 2 % KNO\u2083(foliar spray)152.517.77592.673.450.431.235.54
SEm (\u00b1)1.900.4111.300.020.020.010.32
CD at 5 %5.631.2733.540.060.030.97
Grand mean152.127.57568.933.540.081.225.31
\n\n13", "correct": false, "input_tokens": 1194, "output_tokens": 4507, "elapsed_seconds": 40.106526499963365, "metadata": {"question": "Transcribe all text in this document exactly and completely, in reading order, preserving casing, punctuation, currency symbols, and codes. Use an HTML table only for genuinely tabular content, mirroring its rows, columns, and merged cells; write the HTML on single lines with no indentation or blank lines between tags, and collapse horizontal alignment to a single space.", "match_method": "similarity", "score": 0.8776, "attempts": 1, "retries": 0, "total_seconds": 40.1399}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 35, "image": "c81c96a7-296d-4050-827a-f89309f7a523_png.rf.28cfadfc50dc15c7a43434f17af3489f.jpg", "expected": "will i am \nPlumbing & Heating\n\nBusiness Address \n24 Godwin House \nLondon, E2 8PH\n\n07851 499 470\n\n020 7 686 8226\n\ninfo@will-i-am-pnh.co.uk\n\nInvoice to: \nOrkun Acikgoz \nFlat 3 Pedlers Apartments, 1C Hewison \nStreet E3 2HZ\n\nInvoice No: 17065 \nDate: 12th May 2025\n\nRef: Flat 3 Pedlers Apartments, 1C Hewison \nStreet E3 2HZ\n\n
DESCRIPTIONQTYUNIT PRICETOTAL PRICE
Carried out an investigation, fault diagnosis and attempt to repair a leak going downstairs after the shower was used on 12/05/25 (2 hours on site - please refer to email for a report)2\u00a3100.00\u00a3200.00
Materials - x1 white silicone, x1 PTFE1\u00a310.78\u00a310.78
\n\n
SUBTOTAL:\u00a3210.78
20.0% S:\u00a342.16
TOTAL:\u00a3252.94
PAID:\u00a30.00
BALANCE DUE:\u00a3252.94
\n\nBank details as follows: \nBANK \u2013 HSBC \nwill i am Plumbing & Heating Limited \nSORT CODE \u2013 40-01-18 \nACCOUNT NO. - 41837478\n\n\u00a3252.94 due on 12th May 2025\n\nThank You", "predicted": "will i am\nPlumbing & Heating\n\nBusiness Address\n24 Godwin House\nLondon, E2 8PH\n07851 499 470\n020 7 686 8226\ninfo@will-i-am-pnh.co.uk\n\nInvoice to:\nOrkun Acikgoz\nFlat 3 Pedlers Apartments, 1C Hewison\nStreet E3 2HZ\n\nInvoice No: 17065\nDate: 12th May 2025\nRef: Flat 3 Pedlers Apartments, 1C Hewison\nStreet E3 2HZ\n\n
DESCRIPTIONQTYUNIT PRICETOTAL PRICE
Carried out an investigation, fault diagnosis and attempt to repair a leak going downstairs after the shower was used on 12/05/25 (2 hours on site - please refer to email for a report)2\u00a3100.00\u00a3200.00
Materials - x1 white silicone, x1 PTFE1\u00a310.78\u00a310.78
\n\nSUBTOTAL: \u00a3210.78\n20.0% S: \u00a342.16\nTOTAL: \u00a3252.94\nPAID: \u00a30.00\nBALANCE DUE: \u00a3252.94\n\nBank details as follows:\nBANK \u2013 HSBC\nwill i am Plumbing & Heating Limited\nSORT CODE \u2013 40-01-18\nACCOUNT NO. - 41837478\n\n\u00a3252.94 due on 12th May 2025\nThank You", "correct": false, "input_tokens": 1194, "output_tokens": 2118, "elapsed_seconds": 26.60156308300793, "metadata": {"question": "Transcribe all text in this document exactly and completely, in reading order, preserving casing, punctuation, currency symbols, and codes. Use an HTML table only for genuinely tabular content, mirroring its rows, columns, and merged cells; write the HTML on single lines with no indentation or blank lines between tags, and collapse horizontal alignment to a single space.", "match_method": "similarity", "score": 0.8435, "attempts": 1, "retries": 0, "total_seconds": 26.6264}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 36, "image": "b883e11d-433f-4c18-b0a5-11a0599a241b_png.rf.1efeebf4c96c16074b4f57edde37de47.jpg", "expected": "AUTORES\n\n01- ANA LUIZA BAPTISTA\n02- ANA MARA ALVES DE FREITAS\n03- AMANDA MACHADO AGUIAR\n04- ANDREA NICOLAU PASCHOAL\n05- CARLOS EDUARDO PEREIRA DE MELLO\n06- CRISTIANE HONDA\n07- DANIEL DELAZERI DE FARIA\n08- DIEGO VIEIRA DE SOUZA\n09- ILAN AKISABURO KIMURA\n10- MARIANA BOTELHO MENEGATTI\n11- MARINA PEINADO BERBERIAN\n12- MICHAEL MENDES\n13- RAFAEL DONIZETI SOUZA DE TOLEDO\n14- RAFAEL PADILLA\n15- RAFAEL SCHULIEN\n16- RENATA QUISSAK BARTELEGA PEIXOTO\n17- SILVIA RIBEIRO BROTTO\n18- THAIS NAGOSHI SUZUKI", "predicted": "AUTORES\n\n01- ANA LUIZA BAPTISTA\n02- ANA MARA ALVES DE FREITAS\n03- AMANDA MACHADO AGUIAR\n04- ANDREA NICOLAU PASCHOAL\n05- CARLOS EDUARDO PEREIRA DE MELLO\n06- CRISTIANE HONDA\n07- DANIEL DELAZERI DE FARIA\n08- DIEGO VIEIRA DE SOUZA\n09- ILAN AKISABURO KIMURA\n10- MARIANA BOTELHO MENEGATTI\n11- MARINA PEINADO BERBERIAN\n12- MICHAEL MENDES\n13- RAFAEL DONIZETI SOUZA DE TOLEDO\n14- RAFAEL PADILLA\n15- RAFAEL SCHULIEN\n16- RENATA QUISSAK BARTELEGA PEIXOTO\n17- SILVIA RIBEIRO BROTTO\n18- THAIS NAGOSHI SUZUKI", "correct": true, "input_tokens": 1176, "output_tokens": 947, "elapsed_seconds": 27.596007458050735, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 1.0, "attempts": 1, "retries": 0, "total_seconds": 27.6932}} diff --git a/results/ocr_gemini-4-argon-eap_high_20261012_225128.jsonl b/results/ocr_gemini-4-argon-eap_high_20261012_225128.jsonl deleted file mode 100644 index a2f8c67..0000000 --- a/results/ocr_gemini-4-argon-eap_high_20261012_225128.jsonl +++ /dev/null @@ -1,37 +0,0 @@ -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 0, "image": "4f770728-7b1f-4bf3-b877-e3d33fcc135d_png.rf.dffcaaeb26fd7fe4fd14891cb00a0adf.jpg", "expected": "100 Good Cookies\n1 cup white sugar 1 teaspoon baking soda\n1 cup brown sugar 1 cup quick oatmeal\n1 cup margarine 1 cup coconut\n1 cup cooking oil 1 cup Rice Krispies\n1 egg 1 cup chopped walnuts\n1 teaspoon vanilla 3\u00bd cups flour\n1 teaspoon cream of tartar 1-12oz. package mini\nchocolate chips\nMix in order given. Drop by teaspoonful onto cookie sheet. Bake at 350\u00b0 for 8-10 minutes.\n(over)", "predicted": "100 Good Cookies\n1 cup white sugar 1 teaspoon baking soda\n1 cup brown sugar 1 cup quick oatmeal\n1 cup margarine 1 cup coconut\n1 cup cooking oil 1 cup Rice Krispies\n1 egg 1 cup chopped walnuts\n1 teaspoon vanilla 3\u00bd cups flour\n1 teaspoon cream of tartar 1-12oz. package mini\n Chocolate chips\nMix in order given. Drop by teaspoonful onto\ncookie sheet. Bake at 350\u00b0 for 8-10 minutes.\n (over)", "correct": true, "input_tokens": 1163, "output_tokens": 1746, "elapsed_seconds": 33.86683291592635, "metadata": {"question": "Transcribe all handwritten and printed text exactly as written, reading top to bottom and left to right, and omit nothing; mark only genuinely unreadable words as [illegible]. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9897, "attempts": 1, "retries": 0, "total_seconds": 33.8947}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 1, "image": "0de03edc-15c5-4782-a74b-7cedb1df477b_png.rf.357da74f0ffbbb05467a6069097f2740.jpg", "expected": "(1) 8 + 7 = 15 (9) 17 - 9 = 8\n(2) 15 - 6 = 9 (10) 7 + 9 = 16\n(3) 9 + 4 = 13 (11) 14 - 8 = 6\n(4) 13 - 5 = 8 (12) 5 + 6 = 11\n(5) 6 + 8 = 14 (13) 16 - 7 = 9\n(6) 5 + 9 = 14 (14) 3 + 7 = 10", "predicted": "(1) 8 + 7 = 15 (9) 17 - 9 = 8\n(2) 15 - 6 = 9 (10) 7 + 9 = 16\n(3) 9 + 4 = 13 (11) 14 - 8 = 6\n(4) 13 - 5 = 8 (12) 5 + 6 = 11\n(5) 6 + 8 = 14 (13) 16 - 7 = 9\n(6) 5 + 9 = 14 (14) 3 + 7 = 10", "correct": true, "input_tokens": 1178, "output_tokens": 645, "elapsed_seconds": 21.46425012499094, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 1.0, "attempts": 1, "retries": 0, "total_seconds": 21.4784}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 2, "image": "861cb64d-800a-4635-999c-739199f8b473_png.rf.2dfcae9315498e5af9851962b9b1b65d.jpg", "expected": "2516 Country Club Rd.\nWinston Salem NC 27104\nJuly 17, 1981\n\nDr T S Osdene\nDirector of Research and Scientific Affairs\nPHILIP MORRIS USA\nResearch Center\nP.O Box 26583\nRichmond VA 23261\n\nDear Tom \u2014\n\nRe MDA NO/NOx Field Kit\n\nMDA requires prepayment before shipment\nof materials to private individuals. Accordingly\nI mailed check for $2505.00 for Kit yesterday.\nCopies for verification are enclosed. I presume\nthis will suffice to reimburse me.\n\nAs soon as MDA receives check, presumably\nJuly 20, Kit will be shipped to me by UPS and\nI will immediately trans ship by UPS to\nyou.\n\nCongrats on the birth of your son. Best wishes\nto Mrs Osdene and you.\n\n\u03a6000018736\n\nSincerely\nMurray", "predicted": "2516 Country Club Rd.\n Winston Salem NC 27104\n July 17, 1981\nDr TS Osdene\nDirector of Research and Scientific Affairs\nPHILIP MORRIS USA\nResearch Center\nP.O Box 26583\nRichmond VA 23261\n\nDear Tom -\n Re MDA NO/NOx Field Kit\n\n MDA requires prepayment before shipment\nof materials to private individuals. Accordingly\nI mailed check for $ 2505 00 for kit yesterday.\nCopies for verification are enclosed. I presume\nthis will suffice to reimburse me.\n As soon as MDA receives check, presumably\nJuly 20, kit will be shipped to me by UPS and\nI will immediately trans ship by UPS to\nyou.\n Congrats on the birth of your son. Best wishes\nto Mrs Osdene and you. 1000018736\n\n Sincerely\n Murray", "correct": true, "input_tokens": 1161, "output_tokens": 2246, "elapsed_seconds": 41.644879000028595, "metadata": {"question": "Transcribe all handwritten and printed text exactly as written, reading top to bottom and left to right, and omit nothing; mark only genuinely unreadable words as [illegible]. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9735, "attempts": 1, "retries": 0, "total_seconds": 41.6623}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 3, "image": "bfe2208e-9dcb-4273-9781-be20d0ae766a_png.rf.2506b1cf22374cc1de2823bf766ef968.jpg", "expected": "Ent 103326 Bk 331 Pg 470\nDate: 20-JUN-2006 2:28PM\nORDINANCE NO. CO-06-5 Fee: None\nFiled By: AKT\nBRENDA NELSON, Recorder\nMORGAN COUNTY\nAN ORDINANCE ADOPTING THE STATE WILDLIFE RESOURCES CODE\nFOR MORGAN COUNTY.\n\nWHEREAS, the Morgan County Sheriff's Office is charged with the enforcement of\nregulations and laws relating to wildlife resources within Morgan County; and\n\nWHEREAS, in the course of the Sheriff's enforcement duties it is often necessary to cite\nindividuals for violations of the various state rules regulating wildlife resources; and\n\nWHEREAS, Morgan County would like to cite violators for county ordinance violations\nrather than state code violations since violators are processed by county enforcement officers,\nprosecuted in county courts by county prosecutors, and incarcerated, if necessary, in county jails;\n\nNOW THEREFOR, the County Council of Morgan County, State of Utah, hereby\nordains as follows:\n\nWILDLIFE RESOURCES ORDINANCE\n\nSection 1. Adoption of the Utah wildlife resources Code, Rules and Regulations\n\nThe Rules and Regulations contained in Utah Code Annotated Title 23, as amended, and the\nRules promulgated thereunder, are hereby adopted as the wildlife resources Code, Rules and\nRegulations of Morgan County. Any provisions of Title 23 providing a penalty greater than a\nClass B misdemeanor, or not relating to criminal or administrative sanctions, are not incorporated\nas part of this ordinance.\n\nSection 2. Amendments\n\nIn order to assure continuing uniformity between the Utah wildlife resources Rules and\nRegulations and the Morgan County wildlife resources Rules and Regulations, this Ordinance\nwill include any and all periodic amendments to the State Rules and Regulations, Title 23, after\nthe effective date of this title, made by the Utah State Legislature or by the Utah Department of\nNatural Resources.\n\nSection 3. Effective Date\n\nThis ordinance shall take effect 15 days after passage, after required publication and after a copy\nof the ordinance is deposited with the Morgan County Clerk's Office.\n\nAPPROVED, ADOPTED, AND PASSED and ordered published by the Morgan County\nCouncil, this 6th day of June, 2006.", "predicted": "Ent 103326 Bk 231 Pg 470\nDate: 20-JUN-2006 2:28PM\nFee: None\nFiled By: AKT\nBRENDA NELSON, Recorder\nMORGAN COUNTY\nFor: MORGAN COUNTY\n\nORDINANCE NO. CO-06-11\n\nAN ORDINANCE ADOPTING THE STATE WILDLIFE RESOURCES CODE\nFOR MORGAN COUNTY.\n\n WHEREAS, the Morgan County Sheriff's Office is charged with the enforcement of\nregulations and laws relating to wildlife resources within Morgan County; and\n\n WHEREAS, in the course of the Sheriff's enforcement duties it is often necessary to cite\nindividuals for violations of the various state rules regulating wildlife resources; and\n\n WHEREAS, Morgan County would like to cite violators for county ordinance violations\nrather than state code violations since violators are processed by county enforcement officers,\nprosecuted in county courts by county prosecutors, and incarcerated, if necessary, in county jails;\n\n NOW THEREFOR, the County Council of Morgan County, State of Utah, hereby\nordains as follows:\n\nWILDLIFE RESOURCES ORDINANCE\n\nSection 1. Adoption of the Utah wildlife resources Code, Rules and Regulations\n\nThe Rules and Regulations contained in Utah Code Annotated Title 23, as amended, and the\nRules promulgated thereunder, are hereby adopted as the wildlife resources Code, Rules and\nRegulations of Morgan County. Any provisions of Title 23 providing a penalty greater than a\nClass B misdemeanor, or not relating to criminal or administrative sanctions, are not incorporated\nas part of this ordinance.\n\nSection 2. Amendments\n\nIn order to assure continuing uniformity between the Utah wildlife resources Rules and\nRegulations and the Morgan County wildlife resources Rules and Regulations, this Ordinance\nwill include any and all periodic amendments to the State Rules and Regulations, Title 23, after\nthe effective date of this title, made by the Utah State Legislature or by the Utah Department of\nNatural Resources.\n\nSection 3. Effective Date\n\nThis ordinance shall take effect 15 days after passage, after required publication and after a copy\nof the ordinance is deposited with the Morgan County Clerk's Office.\n\n APPROVED, ADOPTED, AND PASSED and ordered published by the Morgan County\nCouncil, this 6th day of June , 2006.", "correct": true, "input_tokens": 1168, "output_tokens": 2541, "elapsed_seconds": 26.482675457955338, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9665, "attempts": 1, "retries": 0, "total_seconds": 26.5136}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 4, "image": "d6b410b8-2381-4e65-8113-2dbcca295990_png.rf.794671b291d105d363ebd6d8d93b3fc8.jpg", "expected": "THIS SENTENCE WAS WRITTEN BY SOMEONE WITH DYSGRAPHIA", "predicted": "THIS SENTENCE WAS WRITTEN BY SOM\n EONE WITH Dysgraphia", "correct": false, "input_tokens": 1181, "output_tokens": 835, "elapsed_seconds": 14.51559141697362, "metadata": {"question": "Transcribe all handwritten and printed text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.7963, "attempts": 1, "retries": 0, "total_seconds": 14.5285}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 5, "image": "9c225ac4-3b44-42cf-a0dc-4a3984c5bac9_png.rf.1455a695dcdb15839a0deb51bf270c04.jpg", "expected": "When I built menugen ~1 year ago, I observed that the hardest part by far was not the code itself, it was the plethora of services you have to assemble like IKEA furniture to make it real, the DevOps: services, payments, auth, database, security, domain names, etc...\n\nI am really looking forward to a day where I could simply tell my agent: \"build menugen\" (referencing the post) and it would just work. The whole thing up to the deployed web page. The agent would have to browse a number of services, read the docs, get all the api keys, make everything work, debug it in dev, and deploy to prod. This is the actually hard part, not the code itself. Or rather, the better way to think about it is that the entire DevOps lifecycle has to become code, in addition to the necessary sensors/actuators of the CLIs/APIs with agent-native ergonomics. And there should be no need to visit web pages, click buttons, or anything like that for the human.\n\nIt's easy to state, it's now just barely technically possible and expected to work maybe, but it definitely requires from-scratch re-design, work and thought. Very exciting direction!", "predicted": "Andrej Karpathy\n@karpathy\n\nWhen I built menugen ~1 year ago, I observed that the hardest part by far\nwas not the code itself, it was the plethora of services you have to\nassemble like IKEA furniture to make it real, the DevOps: services,\npayments, auth, database, security, domain names, etc...\n\nI am really looking forward to a day where I could simply tell my agent:\n\"build menugen\" (referencing the post) and it would just work. The whole\nthing up to the deployed web page. The agent would have to browse a\nnumber of services, read the docs, get all the api keys, make everything\nwork, debug it in dev, and deploy to prod. This is the actually hard part,\nnot the code itself. Or rather, the better way to think about it is that the\nentire DevOps lifecycle has to become code, in addition to the necessary\nsensors/actuators of the CLIs/APIs with agent-native ergonomics. And\nthere should be no need to visit web pages, click buttons, or anything\nlike that for the human.\n\nIt's easy to state, it's now just barely technically possible and expected\nto work maybe, but it definitely requires from-scratch re-design, work\nand thought. Very exciting direction!", "correct": true, "input_tokens": 1173, "output_tokens": 2058, "elapsed_seconds": 21.1864516249625, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom, keeping each author's handle with their message, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the top-level tweet authored by Andrej Karpathy (@karpathy).", "match_method": "similarity", "score": 0.9646, "attempts": 1, "retries": 0, "total_seconds": 21.2005}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 6, "image": "9fdae0ac-7d89-45f1-b628-bcdbac72c185_png.rf.7b62d1c22ac071a0003f46d2feaae5e5.jpg", "expected": "```javascript\nconst BROWSER_APP_NAMES = new Set([\n \"google chrome\",\n \"google chrome canary\",\n \"chromium\",\n \"microsoft edge\",\n \"mozilla firefox\",\n \"firefox\",\n \"opera\",\n \"brave browser\",\n \"vivaldi\",\n \"arc\",\n]);\n```", "predicted": "```javascript\nconst BROWSER_APP_NAMES = new Set([\n \"google chrome\",\n \"google chrome canary\",\n \"chromium\",\n \"microsoft edge\",\n \"mozilla firefox\",\n \"firefox\",\n \"opera\",\n \"brave browser\",\n \"vivaldi\",\n \"arc\",\n]);\n```", "correct": false, "input_tokens": 1219, "output_tokens": 674, "elapsed_seconds": 9.100699458038434, "metadata": {"question": "Transcribe every piece of text in this screenshot exactly as written, in reading order, and omit nothing. Put source code inside fenced code blocks, preserving indentation, quotes, and casing exactly, and transcribe surrounding interface text as Markdown. Transcribe only the definition of the `BROWSER_APP_NAMES` constant shown in the code editor, and ignore all other code, the editor chrome, file tabs, sidebars, and the terminal.", "match_method": "similarity", "score": 0.9107, "attempts": 1, "retries": 0, "total_seconds": 9.1287}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 7, "image": "5cf55f37-8adb-4adb-9520-148340548028_png.rf.d09a7340877434f1cbdb25f1eccd4774.jpg", "expected": "TOM GREEN HANDYMAN\n5 Any Street, Any City, That Area Code\nTelephone: 0800 XXX XXX\n\nDate : 6/5/2016\nInvoice No : 0003521\nTax Registered No 123456\n\nMr and Mrs Fielding\nThis Address\nThis City\nThis Area Code\n\nTAX INVOICE\n\n
QuantityDescriptionUnit PriceCost
Upgrade to Bathroom
23.75Labour40.00950.00
50Nails and screws0.8040.00
1Paint and Plywood1000.001000.00
40Imported wall tiles14.00560.00
1Freight150.00150.00
1Sub-contractor : Tile-It228.00
Subtotal2928.00
Tax439.20
Total Due$3,367.20
\n\nPayment due by the 10th of the month following the date of invoice.\nPlease make payment into Bank Account No. 12 3456 789112 012\n\nInterest of 10% per year will be charged on late payments.\n\nCut here\n\nRemittance\n\nMr and Mrs Fielding\n\nTOM GREEN HANDYMAN\n5 Any Street\nAny City\nThat Area Code\n\nAmount Due $3,367.20\nAmount Paid ______", "predicted": "TOM GREEN HANDYMAN\n5 Any Street, Any City, That Area Code\nTelephone: 0800 XXX XXX\n\nDate : 6/5/2016 Invoice No : 0003521\n\nTax Registered No 123456\nMr and Mrs Fielding\nThis Address\nThis City\nThis Area Code\n\nTAX INVOICE\n\n\n\n\n\n\n\n\n\n\n\n\n\n
QuantityDescriptionUnit PriceCost
Upgrade to Bathroom
23.75Labour40.00950.00
50Nails and screws0.8040.00
1Paint and Plywood1000.001000.00
40Imported wall tiles14.00560.00
1Freight150.00150.00
1Sub-contractor : Tile-It228.00
Subtotal2928.00
Tax439.20
Total Due$3,367.20
\n\nPayment due by the 10th of the month following the date of invoice.\nPlease make payment into Bank Account No. 12 3456 789112 012\n\nInterest of 10% per year will be charged on late payments.\n\nCut here\nRemittance\nMr and Mrs Fielding\nTOM GREEN HANDYMAN\n5 Any Street Amount Due $3,367.20\nAny City\nThat Area Code Amount Paid", "correct": false, "input_tokens": 1194, "output_tokens": 3957, "elapsed_seconds": 41.76880262501072, "metadata": {"question": "Transcribe all text in this document exactly and completely, in reading order, preserving casing, punctuation, currency symbols, and codes. Use an HTML table only for genuinely tabular content, mirroring its rows, columns, and merged cells; write the HTML on single lines with no indentation or blank lines between tags, and collapse horizontal alignment to a single space.", "match_method": "similarity", "score": 0.9484, "attempts": 1, "retries": 0, "total_seconds": 41.7832}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 8, "image": "1bce4a54-e6bc-4752-b48e-d9889895936a_png.rf.6f12b4139eeac41161f2fb59dad48237.jpg", "expected": "I run hermes handling whatsapp, email, cron jobs, building apps, outreaching customers, outbound and inbound calls \u2014 the whole thing. hasn't needed babysitting in weeks. if you're on the fence just try it. worst case you go back. but I don't think you will", "predicted": "Falcon @Falconve_ \u00b7 6\u5c0f\u65f6\nI run hermes handling whatsapp, email, cron jobs, building apps,\noutreaching customers, outbound and inbound calls \u2014 the whole thing.\nhasn't needed babysitting in weeks. if you're on the fence just try it. worst\ncase you go back. but I don't think you will", "correct": false, "input_tokens": 1159, "output_tokens": 825, "elapsed_seconds": 21.022591667016968, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom, keeping each author's handle with their message, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the last (bottom-most) tweet in the thread by Falcon (@Falconve_).", "match_method": "similarity", "score": 0.9036, "attempts": 1, "retries": 0, "total_seconds": 21.0547}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 9, "image": "eb592312-33c0-41ff-91ec-6e87ad25f12e_png.rf.ad80ac2d57c33733bd20600e13e312f3.jpg", "expected": "(SAE09TR.72) A 13-year-old girl sustained an isolated midshaft left femoral fracture in a motor vehicle accident. The fracture was treated with a rigid, antegrade intramedullary nail placed through the piriformis fossa. The fracture healed uneventfully, as shown in Figure 46a; however, at 12 months postoperatively she now reports left hip pain. A current AP radiograph and MRI scan are shown in Figures 46b and 46c. What complication occurred in this patient? Review Topic\n\n1 Chondrolysis\n2 Ischemic necrosis of the femoral head\n3 Ischemic necrosis of the greater trochanter\n4 Femoral neck fracture\n5 Trochanteric overgrowth\n\nPREFERRED RESPONSE 2\n\nThe development of femoral head ischemic necrosis is the iatrogenically created complication in this skeletally immature patient. Placement of a rigid, antegrade intramedullary nail through the piriformis fossa is likely to damage the vascular supply to the femoral head as the vessels ascend the femoral neck on the way to the femoral head. The MRI scan reveals ischemic necrosis with early collapse of the femoral head. The joint space is preserved on the MRI scan, ruling out chondrolysis.\n\n(SAE08OS.196) An adult patient has had low-grade fevers, malaise, and joint pain for the past several days. Examination reveals an erythematous \"bulls eye\" rash over the right thigh (erythema migrans). What is the organism associated with this infection? Review Topic", "predicted": "(SAE09TR.72) A 13-year-old girl sustained an isolated midshaft left femoral fracture in a motor vehicle accident. The fracture was treated with a rigid, antegrade intramedullary nail placed through the piriformis fossa. The fracture healed uneventfully, as shown in Figure 46a; however, at 12 months postoperatively she now reports left hip pain. A current AP radiograph and MRI scan are shown in Figures 46b and 46c. What complication occurred in this patient? Review Topic\n\n1 Chondrolysis\n2 Ischemic necrosis of the femoral head\n3 Ischemic necrosis of the greater trochanter\n4 Femoral neck fracture\n5 Trochanteric overgrowth\n\n\nPREFERRED RESPONSE 2\n\nThe development of femoral head ischemic necrosis is the iatrogenically created complication in this skeletally immature patient. Placement of a rigid, antegrade intramedullary nail through the piriformis fossa is likely to damage the vascular supply to the femoral head as the vessels ascend the femoral neck on the way to the femoral head. The MRI scan reveals ischemic necrosis with early collapse of the femoral head. The joint space is preserved on the MRI scan, ruling out chondrolysis.\n\n\n(SAE08OS.196) An adult patient has had low-grade fevers, malaise, and joint pain for the past several days. Examination reveals an erythematous \"bulls eye\" rash over the right thigh (erythema migrans). What is the organism associated with this infection? Review Topic", "correct": true, "input_tokens": 1169, "output_tokens": 1211, "elapsed_seconds": 14.768162624910474, "metadata": {"question": "Transcribe every piece of text in this image exactly as written, in reading order, preserving question and option numbering, and omit nothing. Write mathematical expressions in LaTeX and format the result as Markdown that mirrors the layout.", "match_method": "similarity", "score": 0.9986, "attempts": 1, "retries": 0, "total_seconds": 14.8055}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 10, "image": "c50bed4d-e825-46b7-ac5c-a84806fa0481_png.rf.dbad52cae24c6759d646ebb0ad6c30a3.jpg", "expected": "```python\nimport random\n\ndef roll_dice(n=2, sides=6):\n return [random.randint(1, sides) for _ in range(n)]\n\ndef magic_8ball():\n responses = [\n \"Yes\", \"No\", \"Maybe\", \"Ask again later\",\n \"Absolutely\", \"No way\", \"Signs point to yes\",\n \"Don't count on it\", \"Without a doubt\",\n ]\n return random.choice(responses)\n\nif __name__ == \"__main__\":\n print(f\"Rolling 2 dice: {roll_dice()}\")\n print(f\"Magic 8-Ball says: {magic_8ball()}\")\n print(f\"Your lucky number: {random.randint(1, 100)}\")\n```", "predicted": "```python\nimport random\n\ndef roll_dice(n=2, sides=6):\n return [random.randint(1, sides) for _ in range(n)]\n\ndef magic_8ball():\n responses = [\n \"Yes\", \"No\", \"Maybe\", \"Ask again later\",\n \"Absolutely\", \"No way\", \"Signs point to yes\",\n \"Don't count on it\", \"Without a doubt\",\n ]\n return random.choice(responses)\n\nif __name__ == \"__main__\":\n print(f\"Rolling 2 dice: {roll_dice()}\")\n print(f\"Magic 8-Ball says: {magic_8ball()}\")\n print(f\"Your lucky number: {random.randint(1, 100)}\")\n```", "correct": true, "input_tokens": 1171, "output_tokens": 1032, "elapsed_seconds": 32.46737883309834, "metadata": {"question": "Transcribe every piece of text in this screenshot exactly as written, in reading order, and omit nothing. Put source code inside fenced code blocks, preserving indentation, quotes, and casing exactly, and transcribe surrounding interface text as Markdown. Transcribe only the code shown in the editor pane, ignoring the editor chrome, file tabs, sidebars, and the line-number gutter.", "match_method": "similarity", "score": 1.0, "attempts": 1, "retries": 0, "total_seconds": 32.5845}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 11, "image": "d0980bab-2f15-4550-b3e6-813a2ad7e709_png.rf.4002baedf14c91e52686c70ec58fd7f0.jpg", "expected": "Example 3 (HW)\nEach of the numbers 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 is written\non a separate piece of paper. The 10 pieces of paper\nare then placed in a hat. If one piece of paper is\nselected at random from hat, estimate the probability\nthat:\n(i) the number written on piece of paper is an even\nnumber or greater than 6.\n(ii) the number written on piece of paper is less than 5\nor greater than 8.\n(iii) the number written on piece of paper is divisible by 4.\n(iv) the \" \" \" \" \" \" \" at least 7.\n(v) \" \" \" \" \" \" \" at most 3.", "predicted": "Example 3 (HW)\nEach of the numbers 1,2,3,4,5,6,7,8,9,10 is written\non a separate piece of paper. The 10 pieces of paper\nare then placed in a hat. If one piece of paper is\nselected at random from hat, estimate the probability\n that:\n(i) the number written on piece of paper is an even\n number or greater than 6.\n(ii) the number written on piece of paper is less than 5\n or greater than 8.\n(iii) the number written on piece of paper is divisible by 4.\n(iv) the \" \" \" \" \" \" \" at least 7.\n(v) \" \" \" \" \" \" \" \" at most 3.\nCS Scanned with CamScanner", "correct": false, "input_tokens": 1180, "output_tokens": 2032, "elapsed_seconds": 42.778064500074834, "metadata": {"question": "Transcribe all handwritten and printed text exactly as written, reading top to bottom and left to right, and omit nothing; mark only genuinely unreadable words as [illegible]. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9244, "attempts": 1, "retries": 0, "total_seconds": 42.8391}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 12, "image": "00099ca8-7388-4ccb-a9ae-0def0f38e1d4_png.rf.87454ebaa2a188c18aadac0664ef70f6.jpg", "expected": "I'm losing so much money every single second I dont spend in the states. Every day I wake up, I'm hyperventilating about the fact that I am irresponsibly putting my young family's future at great risk because I can't but help listen to my gut. I am filled with doubt every day", "predicted": "kache @yacineMTB \u00b7 9\u5c0f\u65f6\nI'm losing so much money every single second I dont spend in the states.\nEvery day I wake up, I'm hyperventilating about the fact that I am\nirresponsibly putting my young family's future at great risk because I can't\nbut help listen to my gut. I am filled with doubt every day\n stainlesssteelcockroach @stainle55446702 \u00b7 10\u5c0f\u65f6\n \u56de\u590d @yacineMTB\n You would like it down south as well. Where engineers are honored as\n the future.....\n40 1 248 2.5\u4e07", "correct": false, "input_tokens": 1188, "output_tokens": 3514, "elapsed_seconds": 40.4578503749799, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom, keeping each author's handle with their message, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the first tweet by kache (@yacineMTB).", "match_method": "similarity", "score": 0.5884, "attempts": 1, "retries": 0, "total_seconds": 40.4758}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 13, "image": "838b00ad-2a6d-4bc7-84a3-d3cb3e6fdfb8_png.rf.86b85c55a59bba487946e192adc78406.jpg", "expected": "The French Revolution began in 1789 in France and was caused by several political, social, and economic factors. One major cause was the inequality in the social structure known as the Estates System, where the clergy and nobility enjoyed privileges while the common people had to pay heavy taxes. Another cause was the financial crisis faced by the monarchy due to wars and extravagant spending by Louis XVI and the royal court.\n\nThe influence of Enlightenment thinkers also played a significant role. Philosophers like Jean-Jacques Rousseau and Voltaire promoted ideas of liberty, equality, and popular sovereignty. These ideas encouraged people to question the authority of the monarchy.\n\nThe revolution had major effects on French society and politics. The monarchy was abolished, and France eventually became a republic. The revolution led to the Reign of Terror, during which many people were executed. In the long term, the revolution spread the ideals of liberty, equality, and fraternity across Europe and influenced many future democratic movements.", "predicted": "The French Revolution began in 1789 in France and was caused by several political, social, and economic factors. One major cause was the\ninequality in the social structure known as the Estates System, where the clergy and nobility enjoyed privileges while the common people had\nto pay heavy taxes. Another cause was the financial crisis faced by the monarchy due to wars and extravagant spending by Louis XVI and the\nroyal court.\n\nThe influence of Enlightenment thinkers also played a significant role. Philosophers like Jean-Jacques Rousseau and Voltaire promoted ideas\nof liberty, equality, and popular sovereignty. These ideas encouraged people to question the authority of the monarchy.\n\nThe revolution had major effects on French society and politics. The monarchy was abolished, and France eventually became a republic. The\nrevolution led to the Reign of Terror, during which many people were executed. In the long term, the revolution spread the ideals of\nliberty, equality, and fraternity across Europe and influenced many future democratic movements.", "correct": true, "input_tokens": 1140, "output_tokens": 743, "elapsed_seconds": 8.920067582977936, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9943, "attempts": 1, "retries": 0, "total_seconds": 8.9317}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 14, "image": "efe6537c-b164-43c1-8a9b-a329c7b96ec1_png.rf.96d23b9a67c8c503dd57cc8ddb11363b.jpg", "expected": "Clinical Nurse Manager Sep 2012 \u2013 Jul 2014\nBarron Center \u2013 Portland, ME\nManaged nursing operations on a 26-bed skilled rehabilitation unit, ensuring effective clinical care delivery.\n\u2022 Supervised nursing staff performance and provided ongoing competency evaluations.\n\u2022 Developed individualized care plans in collaboration with physicians and rehabilitation teams.\n\u2022 Implemented policies and procedures to meet regulatory and accreditation requirements.\n\nRegistered Nurse, Medical-Surgical Unit (Float Pool) Jun 2012 \u2013 Sep 2012\nMercy Hospital \u2013 Portland, ME\nProvided direct patient care within medical-surgical units, ensuring safe and effective treatment delivery.\n\u2022 Performed comprehensive physical assessments and monitored patient progress.\n\u2022 Administered medications and documented interventions per hospital protocols.\n\u2022 Collaborated with multidisciplinary teams to coordinate and plan care.\n\nEDUCATION, CERTIFICATIONS & LICENSURE\n\nBachelor of Science in Nursing (BSN)\nWestern Governors University, Salt Lake City, UT | Graduated January 2019\n\nAssociate of Science in Nursing (ASN)\nCollege of Nursing and Health Professions, Lewiston, ME | Graduated May 2010\n\nCertifications & Licensure\n\u2022 Registered Nurse (RN License #R057634) \u2013 State of Maine\n\u2022 Basic Life Support (BLS) \u2013 Current through December 2027\n\u2022 Educated in: Accountable Care Organizations (ACOs), Patient-Driven Payment Model (PDPM)\n\u2022 Clinical Systems Proficiency: Cerner / PowerChart, EPIC, Quantum, PointClickCare\n\u2022 Utilization Review Tools: InterQual, NaviHealth, CarePort\n\u2022 Analytics & Administrative Systems: Salesforce, Tableau, Microsoft Excel & PowerPoint, ADP, SAP Concur\n\nSKILLS & ADDITIONAL INFORMATION\n\nTechnical Skills\n\u2022 Clinical Systems & EMRs: Cerner / PowerChart, EPIC, Quantum, PointClickCare\n\u2022 Utilization Management Tools: InterQual, NaviHealth, CarePort\n\u2022 Data & Analytics Platforms: Tableau, Salesforce\n\u2022 Productivity Software: Microsoft Office Suite (Excel, PowerPoint, Word, Outlook)\n\u2022 Administrative Systems: ADP, SAP Concur\n\u2022 Quality & Compliance Tools: Electronic Health Record Audit Systems, Core Measure Review PlatformDedicated and results-\ndriven Recruiter/Talent Acquisition Specialist.\n\nPersonal Strengths\n\u2022 Strong leadership and team mentorship abilities\n\u2022 Critical thinking and complex problem-solving\n\u2022 Effective interdisciplinary communication and collaboration\n\u2022 Process improvement and workflow optimization\n\u2022 Independent and solution-focused decision-making\n\u2022 High attention to detail and documentation accuracy\n\u2022 Adaptable to evolving healthcare technologies and remote environments\n\u2022 Empathetic approach to patient advocacy and care coordination\n\nReferences are available upon request", "predicted": "Clinical Nurse Manager Sep 2012 \u2013 Jul 2014\nBarron Center \u2013 Portland, ME\nManaged nursing operations on a 26-bed skilled rehabilitation unit, ensuring effective clinical care delivery.\n \u2022 Supervised nursing staff performance and provided ongoing competency evaluations.\n \u2022 Developed individualized care plans in collaboration with physicians and rehabilitation teams.\n \u2022 Implemented policies and procedures to meet regulatory and accreditation requirements.\n\nRegistered Nurse, Medical-Surgical Unit (Float Pool) Jun 2012 \u2013 Sep 2012\nMercy Hospital \u2013 Portland, ME\nProvided direct patient care within medical-surgical units, ensuring safe and effective treatment delivery.\n \u2022 Performed comprehensive physical assessments and monitored patient progress.\n \u2022 Administered medications and documented interventions per hospital protocols.\n \u2022 Collaborated with multidisciplinary teams to coordinate and plan care.\n\nEDUCATION, CERTIFICATIONS & LICENSURE\n\nBachelor of Science in Nursing (BSN)\nWestern Governors University, Salt Lake City, UT | Graduated January 2019\n\nAssociate of Science in Nursing (ASN)\nCollege of Nursing and Health Professions, Lewiston, ME | Graduated May 2010\n\nCertifications & Licensure\n \u2022 Registered Nurse (RN License #R057634) \u2013 State of Maine\n \u2022 Basic Life Support (BLS) \u2013 Current through December 2027\n \u2022 Educated in: Accountable Care Organizations (ACOs), Patient-Driven Payment Model (PDPM)\n \u2022 Clinical Systems Proficiency: Cerner / PowerChart, EPIC, Quantum, PointClickCare\n \u2022 Utilization Review Tools: InterQual, NaviHealth, CarePort\n \u2022 Analytics & Administrative Systems: Salesforce, Tableau, Microsoft Excel & PowerPoint, ADP, SAP Concur\n\nSKILLS & ADDITIONAL INFORMATION\n\nTechnical Skills\n \u2022 Clinical Systems & EMRs: Cerner / PowerChart, EPIC, Quantum, PointClickCare\n \u2022 Utilization Management Tools: InterQual, NaviHealth, CarePort\n \u2022 Data & Analytics Platforms: Tableau, Salesforce\n \u2022 Productivity Software: Microsoft Office Suite (Excel, PowerPoint, Word, Outlook)\n \u2022 Administrative Systems: ADP, SAP Concur\n \u2022 Quality & Compliance Tools: Electronic Health Record Audit Systems, Core Measure Review PlatformDedicated and results-\n driven Recruiter/Talent Acquisition Specialist.\n\nPersonal Strengths\n \u2022 Strong leadership and team mentorship abilities\n \u2022 Critical thinking and complex problem-solving\n \u2022 Effective interdisciplinary communication and collaboration\n \u2022 Process improvement and workflow optimization\n \u2022 Independent and solution-focused decision-making\n \u2022 High attention to detail and documentation accuracy\n \u2022 Adaptable to evolving healthcare technologies and remote environments\n \u2022 Empathetic approach to patient advocacy and care coordination\n\n References are available upon request", "correct": true, "input_tokens": 1178, "output_tokens": 2488, "elapsed_seconds": 29.266364166978747, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9897, "attempts": 1, "retries": 0, "total_seconds": 29.2862}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 15, "image": "e21e8de4-67cb-4b99-acaf-7c73dc28df9f_png.rf.c9c271f7c9fe67f7186ee45aebf42a40.jpg", "expected": "ACS PLUS\n\nADVERTISING COMMUNICATION SERVICES\n\nBloc 17 App 233 1003 Cit\u00e9 les Olympiades\n\nTEL 71 771 324 FAX 71 770 682\n\nCode TVA1243006M/A/M/000\n\nEmail: acs.info@topnet.tn\n\nDEVIS N\u00b0 89-24\n\nClient: IEEE\n\nCode TVA:\n\nAdresse:\n\nT\u00e9l: Fax:\n\nTunis le 12/04/24\n\nCCB : 03210119011500465159A BNA KHERREDINE PACHA\n\n
R\u00e9f\u00e9renceD\u00e9signationQuantit\u00e9P. U.T.V.A.P.H.T.
Rollup 2 x 0,851170.00019%170.000
Pins1201.40019%168.000
Affiche A4 120 g impression R/V301.00019%30.000
Total H.T.368.000
Remise
Total HT368.000
\n\n
Total T.V.A. 10%
Total T.V.A. 7%
Total T.V.A. 19%69.920
Total T.V.A. 29%
Timbre Fiscal1.000
Total T.T.C.438.920
\n\n,\n\nArr\u00eat\u00e9 le pr\u00e9sent devis \u00e0 la somme de:\n\nDIRECTION COMMERCIALE", "predicted": "ACS PLUS\nADVERTISING COMMUNICATION SERVICES\nBloc 17 App 233 1003 Cit\u00e9 les Olympiades\nTEL 71 771 324 FAX 71 770 682\nCode TVA1243006M/A/M/000\nEmail: acs.info@topnet.tn\n\nDEVIS N\u00b0 89-24\n\nClient: IEEE\nCode TVA:\nAdresse:\nT\u00e9l: Fax:\n\nTunis le 12/04/24\n\nCCB : 03210119011500465159A BNA KHERREDINE PACHA\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
R\u00e9f\u00e9renceD\u00e9signationQuantit\u00e9P. U.T.V.A.P.H.T.
Rollup 2 x 0,851170.00019%170.000
Pins1201.40019%168.000
Affiche A4 120 g impression R/V301.00019%30.000
Total H.T.368.000
Remise
Total HT368.000
Total T.V.A. 10%
Total T.V.A. 7%
Total T.V.A. 19%69.920
Total T.V.A. 29%
Timbre Fiscal1.000
Total T.T.C.438.920
\n\n,\nArr\u00eat\u00e9 le pr\u00e9sent devis \u00e0 la somme de:\n\nDIRECTION COMMERCIALE", "correct": false, "input_tokens": 1194, "output_tokens": 4004, "elapsed_seconds": 49.31251408311073, "metadata": {"question": "Transcribe all text in this document exactly and completely, in reading order, preserving casing, punctuation, currency symbols, and codes. Use an HTML table only for genuinely tabular content, mirroring its rows, columns, and merged cells; write the HTML on single lines with no indentation or blank lines between tags, and collapse horizontal alignment to a single space.", "match_method": "similarity", "score": 0.8717, "attempts": 1, "retries": 0, "total_seconds": 49.3224}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 16, "image": "280f2634-897d-499e-9e0e-2426fb6ed193_png.rf.de84ffe2f1cd78e0c4f16f319320c449.jpg", "expected": "Deloitte.\n\nDeloitte Touche Tohmatsu\nIndia LLP\nPrestige Trade Tower, Level 19\n46, Palace Road, High Grounds\nBengaluru - 560 001\nKarnataka, India\n\nTel: +91 80 6188 6000\nFax: +91 80 6188 6011\nwww.deloitte.com\n\nStrictly Private and Confidential\n\nDate: 8 July, 2025\n\nFlipkart Internet Private Limited\nAlyssa Begonia and Clover,\nEmbassy Tech Village ORR,\nDevarabeesanahalli Village,\nVarthur Hobli, Bangalore - 560103, Karnataka\n\nKind Attention: Mr. Kamal Chopra\n\nDear Sir,\n\nRe: Indirect Tax Services \u2013 Engagement Letter\n\nWe thank you for giving an opportunity to Deloitte Touche Tohmatsu India LLP (\u201cDTTI LLP\u201d or \u201cService Provider\u201d) to assist FLIPKART INTERNET PRIVATE LIMITED (\u201cClient\u201d/\u201dFKN\u201d/\u201dCompany\u201d) in Indirect tax services (\u201cServices\u201d) for the benefit of the Client and the subsidiaries and/or Affiliates of the Client as specified in Annexure-2.\n\n(The identified subsidiaries and Affiliates in Annexure-2 together with the Client, are hereinafter collectively referred to as \u201cBeneficiary/(ies)\u201d). The Services will be provided in accordance with and subject to the provisions of this engagement letter (including any Work Orders/Statement of Work and Annexures 1, 2, 3, 4, 5 and 6 hereto) (\u201cEngagement Letter\u201d) and the Standard Tax Terms attached hereto (the Engagement Letter and Standard Tax Terms hereinafter are collectively referred to as collectively \u201cContract\u201d).\n\n1. BACKGROUND\n\n1.1 Flipkart Internet Private Limited is a company which owns the E-commerce portal \u201cFlipkart.com\u201d. It functions as a marketplace wherein various business entities can list their products in the website in return to a fee charged to use its portal.\n\n1.2 We further understand that the company receives revenue through payment gateway services, hosting services, advertisement services, etc and is also engaged in fulfilment services rendered to the sellers listed on the website.\n\n1.3 We would be glad to provide assistance, more specifically described in below paragraph(s).", "predicted": "Deloitte. Deloitte Touche Tohmatsu\nIndia LLP\nPrestige Trade Tower, Level 19\n46, Palace Road, High Grounds\nBengaluru - 560 001\nKarnataka, India\n\nTel: +91 80 6188 6000\nFax: +91 80 6188 6011\nwww.deloitte.com\n\nStrictly Private and Confidential\n\nDate: 8 July, 2025\n\nFlipkart Internet Private Limited\nAlyssa Begonia and Clover,\nEmbassy Tech Village ORR,\nDevarabeesanahalli Village,\nVarthur Hobli, Bangalore - 560103, Karnataka\n\nKind Attention: Mr. Kamal Chopra\n\nDear Sir,\n\nRe: Indirect Tax Services \u2013 Engagement Letter\n\nWe thank you for giving an opportunity to Deloitte Touche Tohmatsu India LLP (\u201cDTTI LLP\u201d or \u201cService\nProvider\u201d) to assist FLIPKART INTERNET PRIVATE LIMITED (\u201cClient\u201d/\u201dFKN\u201d/\u201dCompany\u201d) in Indirect tax\nservices (\u201cServices\u201d) for the benefit of the Client and the subsidiaries and/or Affiliates of the Client as\nspecified in Annexure-2.\n\n(The identified subsidiaries and Affiliates in Annexure-2 together with the Client, are hereinafter collectively\nreferred to as \u201cBeneficiary/(ies)\u201d). The Services will be provided in accordance with and subject to the\nprovisions of this engagement letter (including any Work Orders/Statement of Work and Annexures 1, 2, 3,\n4, 5 and 6 hereto) (\u201cEngagement Letter\u201d) and the Standard Tax Terms attached hereto (the Engagement\nLetter and Standard Tax Terms hereinafter are collectively referred to as collectively \u201cContract\u201d).\n\n1. BACKGROUND\n\n1.1 Flipkart Internet Private Limited is a company which owns the E-commerce portal \u201cFlipkart.com\u201d.\n It functions as a marketplace wherein various business entities can list their products in the website\n in return to a fee charged to use its portal.\n\n1.2 We further understand that the company receives revenue through payment gateway services,\n hosting services, advertisement services, etc and is also engaged in fulfilment services rendered to\n the sellers listed on the website.\n\n1.3 We would be glad to provide assistance, more specifically described in below paragraph(s).", "correct": true, "input_tokens": 1161, "output_tokens": 2472, "elapsed_seconds": 38.23240079195239, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9934, "attempts": 1, "retries": 0, "total_seconds": 38.2654}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 17, "image": "93441566-50c0-4bfb-9a31-437a2bc5e4f2_png.rf.cd5bf1f53754c220ec912b1c44ade759.jpg", "expected": "2\n3000\nCOUNTER +2000\nActivate:Main Once Per Turn You may add 1 card from your Life area to your hand: This Character gains +2000 power during this turn. Then, give this Character up to 2 rested DON!! cards.\nCHARACTER\nSanji\nStraw Hat Crew\nOP01-013", "predicted": "2 3000 \u6253\nSTRIKE\nCOUNTER +2000\nActivate:Main Once Per Turn You may add 1 card from\nyour Life area to your hand: This Character gains +2000\npower during this turn. Then, give this Character up to 2\nrested DON!! cards.\nCHARACTER\nSanji\nStraw Hat Crew OP01-013 R 1\n\u00a9E.O./S \u00a9E.O./S., T.A. BANDAI MADE IN JAPAN", "correct": false, "input_tokens": 1178, "output_tokens": 902, "elapsed_seconds": 12.353037292021327, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.7954, "attempts": 1, "retries": 0, "total_seconds": 12.3704}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 18, "image": "2e43ea51-fc34-4d42-8b0f-66b2172d81f7_png.rf.345ac976ac43b542da24279e8683876b.jpg", "expected": "Q.5\n\nLet $L_1$ be the line of intersection of the planes given by the equations\n\n$$2x + 3y + z = 4 \\quad \\text{and} \\quad x + 2y + z = 5.$$\n\nLet $L_2$ be the line passing through the point $P(2, -1, 3)$ and parallel to $L_1$. Let $M$ denote the plane given by the equation\n\n$$2x + y - 2z = 6.$$\n\nSuppose that the line $L_2$ meets the plane $M$ at the point $Q$. Let $R$ be the foot of the perpendicular drawn from $P$ to the plane $M$ .\n\nThen which of the following statements is (are) TRUE?\n\n| | |\n|---|---|\n| (A) | The length of the line segment $PQ$ is $9\\sqrt{3}$ |\n| (B) | The length of the line segment $QR$ is $15$ |\n| (C) | The area of $\\triangle PQR$ is $\\dfrac{3}{2}\\sqrt{234}$ |\n| (D) | The acute angle between the line segments $PQ$ and $PR$ is $\\cos^{-1}\\left(\\dfrac{1}{2\\sqrt{3}}\\right)$ |\n\nAnswer: A, C\n\n3/9", "predicted": "**Q.5** Let $L_1$ be the line of intersection of the planes given by the equations\n\n$$2x + 3y + z = 4 \\text{ and } x + 2y + z = 5 .$$\n\nLet $L_2$ be the line passing through the point $P(2, -1, 3)$ and parallel to $L_1$. Let $M$ denote the plane given by the equation\n\n$$2x + y - 2z = 6 .$$\n\nSuppose that the line $L_2$ meets the plane $M$ at the point $Q$. Let $R$ be the foot of the perpendicular drawn from $P$ to the plane $M$ .\n\nThen which of the following statements is (are) TRUE?\n\n| | |\n| :--- | :--- |\n| (A) | The length of the line segment $PQ$ is $9\\sqrt{3}$ |\n| (B) | The length of the line segment $QR$ is $15$ |\n| (C) | The area of $\\Delta PQR$ is $\\frac{3}{2}\\sqrt{234}$ |\n| (D) | The acute angle between the line segments $PQ$ and $PR$ is $\\cos^{-1}\\left(\\frac{1}{2\\sqrt{3}}\\right)$ |\n\n**Answer: A, C**\n\n---\n
3/9
", "correct": false, "input_tokens": 1184, "output_tokens": 1202, "elapsed_seconds": 13.19843262503855, "metadata": {"question": "Transcribe every piece of text in this image exactly as written, in reading order, preserving question and option numbering, and omit nothing. Write mathematical expressions in LaTeX and format the result as Markdown that mirrors the layout.", "match_method": "similarity", "score": 0.9189, "attempts": 1, "retries": 0, "total_seconds": 13.2157}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 19, "image": "8b690a3e-b9cd-48e1-a323-981e43142145_png.rf.84216f941b59ba17963217ea5bea26e9.jpg", "expected": "Question 37:\nConsider a system with six I/O-bound processes and one CPU-bound process. Each I/O-bound process executes for 1 ms before blocking for a 12 ms I/O operation. The context-switch overhead is 0.1 ms.\nUsing Round-Robin scheduling:\na. Time quantum = 1 ms\nb. Time quantum = 6 ms\nFor each case:\n\u2022 Draw the execution timeline.\n\u2022 Determine the average waiting time of the CPU-bound process.\n\u2022 Explain how the choice of quantum affects waiting time.\n\nQuestion 38:\nConsider a system with twelve I/O-bound tasks and one CPU-bound task. Each I/O-bound task runs for 1 ms before performing an 8 ms I/O operation.\nUsing Round-Robin scheduling:\na. Time quantum = 1 ms\nb. Time quantum = 4 ms\nFor each case:\n\u2022 Show the sequence of process execution.\n\u2022 Determine the average number of processes in the ready queue.\n\u2022 Explain how the quantum affects queue length.\n\nQuestion 39:\nConsider a system with eight I/O-bound tasks and two CPU-bound tasks. Each I/O-bound task requests an I/O operation after every 2 ms of CPU execution. Each I/O operation requires 12 ms. Using Round-Robin scheduling:\na. Time quantum = 2 ms\nb. Time quantum = 8 ms\nDetermine:\n\u2022 CPU utilization.\n\u2022 I/O device utilization.\n\u2022 Periods when the I/O device is idle.", "predicted": "Question 37:\nConsider a system with six I/O-bound processes and one CPU-bound process. Each I/O-bound\nprocess executes for 1 ms before blocking for a 12 ms I/O operation. The context-switch\noverhead is 0.1 ms.\nUsing Round-Robin scheduling:\n a. Time quantum = 1 ms\n b. Time quantum = 6 ms\nFor each case:\n \u2022 Draw the execution timeline.\n \u2022 Determine the average waiting time of the CPU-bound process.\n \u2022 Explain how the choice of quantum affects waiting time.\n\nQuestion 38:\nConsider a system with twelve I/O-bound tasks and one CPU-bound task. Each I/O-bound task\nruns for 1 ms before performing an 8 ms I/O operation.\nUsing Round-Robin scheduling:\n a. Time quantum = 1 ms\n b. Time quantum = 4 ms\nFor each case:\n \u2022 Show the sequence of process execution.\n \u2022 Determine the average number of processes in the ready queue.\n \u2022 Explain how the quantum affects queue length.\n\nQuestion 39:\nConsider a system with eight I/O-bound tasks and two CPU-bound tasks. Each I/O-bound task\nrequests an I/O operation after every 2 ms of CPU execution. Each I/O operation requires 12\nms. Using Round-Robin scheduling:\n a. Time quantum = 2 ms\n b. Time quantum = 8 ms\nDetermine:\n \u2022 CPU utilization.\n \u2022 I/O device utilization.\n \u2022 Periods when the I/O device is idle.", "correct": false, "input_tokens": 1162, "output_tokens": 1293, "elapsed_seconds": 29.801618250086904, "metadata": {"question": "Transcribe every piece of text in this image exactly as written, in reading order, preserving question and option numbering, and omit nothing. Output as plain text but preserve the visual structure. Do not add any extra markdown styling.", "match_method": "similarity", "score": 0.9495, "attempts": 1, "retries": 0, "total_seconds": 29.8123}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 20, "image": "056e17c9-9b46-496a-9cf8-c1b54bd73216_png.rf.ad6da03e5299b085ff446174b8c6cc4b.jpg", "expected": "```python\nclass Snapshot(BaseModel):\n pageIndex: int = 1\n stateId: str # computed by extension\n interactive: List[InteractiveElement] = Field(default_factory=list)\n extracted: Optional[ExtractedCard] = None\n ts_ms: int\n```", "predicted": "```python\nclass Snapshot(BaseModel):\n pageIndex: int = 1\n stateId: str # computed by extension\n interactive: List[InteractiveElement] = Field(default_factory=list)\n extracted: Optional[ExtractedCard] = None\n ts_ms: int\n```", "correct": true, "input_tokens": 1200, "output_tokens": 919, "elapsed_seconds": 16.692301707924344, "metadata": {"question": "Transcribe every piece of text in this screenshot exactly as written, in reading order, and omit nothing. Put source code inside fenced code blocks, preserving indentation, quotes, and casing exactly, and transcribe surrounding interface text as Markdown. Transcribe only the complete definition of the `Snapshot` class exactly as it appears in the code editor, including the class line and all its fields, and ignore all other code, editor chrome, file tabs, sidebars, and the terminal.", "match_method": "similarity", "score": 1.0, "attempts": 1, "retries": 0, "total_seconds": 16.7316}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 21, "image": "0f7a1b1b-b0f9-4dba-9659-0455701b7a3f_png.rf.a006d974af16d067a2ee124fe9e15f3f.jpg", "expected": "Department of Computer Science and Engineering\nFaculty of Technology & Engineering\nThe M. S. University of Baroda, Vadodara\nS.S BE IV CSE (______)\n\nINDUSTRY PROJECT EVALUATION FORM\n\nName of the Student : Raval Sumit Bharatbhai\nName of Project Guide : Sukhvala Prit Hasmukhbhai\nTitle / Designation : Jr. Salesforce Developer\nEmail of Project Guide : sukhvalaps@gmail.com\nAddress of the Organization : Dev Arcade, U3, Eru Char Rasta, Vejalpore, Jalalpore, Eroo, Navsari, Gujarat-396450\nContact No. : 98751 62607\n\n(Indicate your choice by tick a (\u2713) mark):\n\nHighest-----------------------------------------------------------------Lowest\n\n
Attributes of ObservancePO54321
1Punctuality/ RegularityPO8\u2713
2Sincerity in LearningPO12\u2713
3Enthusiasm to use new technological toolsPO5\u2713
4Team Spirit: Relationship with Team MembersPO9\u2713
5Technical/Programming SkillsPO1\u2713
6Societal Impact of ProjectPO7\u2713
7InnovationPO1,PO5\u2713
8Knowledge of Algorithm OptimizationPO1,PO4\u2713
9Problem Solving AbilityPO2\u2713
10Project Management/Leadership Skills: Taking responsibilitiesPO11\u2713
11Communication SkillsPO10\u2713
12Implementing InstructionsPO3\u2713
13Achievement of DeadlinesPO11\u2713
14Follows Sustainable Development practices in day to day work and project workPO6\u2713
15Overall Performance, Behavior and AttitudePO8\u2713
\n\nPage 1 of 2", "predicted": "Department of Computer Science and Engineering\nFaculty of Technology & Engineering\nThe M. S. University of Baroda, Vadodara\nS.S BE IV CSE ( )\n\nINDUSTRY PROJECT EVALUATION FORM\n\nName of the Student : Raval Sumit Bharatbhai\nName of Project Guide : Sakhvala Prit Hasmukhbhai\nTitle / Designation : Jr. Salesforce Developer\nEmail of Project Guide : sakhvalaps@gmail.com\nAddress of the Organization : Dev Arcade, U3, Eru Char Rasta, Vejalpore, Jalapore, Eroo , Navsari, Gujarat-396450\nContact No. : 98751 62607\n\n(Indicate your choice by tick a (\u221a) mark):\n\nHighest---------------------------------------------------------Lowest\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Attributes of ObservancePO54321
1Punctuality/ RegularityPO8\u2713
2Sincerity in LearningPO12\u2713
3Enthusiasm to use new technological toolsPO5\u2713
4Team Spirit: Relationship with Team MembersPO9\u2713
5Technical/Programming SkillsPO1\u2713
6Societal Impact of ProjectPO7\u2713
7InnovationPO1,PO5\u2713
8Knowledge of Algorithm OptimizationPO1,PO4\u2713
9Problem Solving AbilityPO2\u2713
10Project Management/Leadership Skills: Taking responsibilitiesPO11\u2713
11Communication SkillsPO10\u2713
12Implementing InstructionsPO3\u2713
13Achievement of DeadlinesPO11\u2713
14Follows Sustainable Development practices in day to day work and project workPO6\u2713
15Overall Performance, Behavior and AttitudePO8\u2713
\n\nPage 1 of 2", "correct": true, "input_tokens": 1166, "output_tokens": 3297, "elapsed_seconds": 31.99851858301554, "metadata": {"question": "Transcribe all text in this document exactly and completely, in reading order, preserving casing, punctuation, currency symbols, and codes. Use an HTML table only for genuinely tabular content, mirroring its rows, columns, and merged cells; write the HTML on single lines with no indentation or blank lines between tags, and collapse horizontal alignment to a single space.", "match_method": "similarity", "score": 0.9759, "attempts": 1, "retries": 0, "total_seconds": 32.0124}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 22, "image": "4f216ea0-af67-40e1-a226-2884e051db56_png.rf.b2fadeee17b3985c08325bec449bfd27.jpg", "expected": "NANAVATI\nMAX Super Speciality Hospital\n\n28/11/25\n\nTo\n\nWHOM SO EVER IT MAY CONCERNS\n\nMrs. Tanvi Mehta, 33/F, K/c/o CKD Stage 5 is planned for Live related kidney transplant on 2/12/2025. Post op patient is given immunosuppressants so require Isolation / Single room for infection prevention.\n\nSo kindly consider the same.\n\nFor Dr. Jalin Kotuan.\n\nDr. Balabhai Nanavati Hospital (Charitable) \nS.V. Road, Vile Parle (W), Mumbai - 400 056 \nTel.: +91-22-6134 7500 \nManaged by Max Hospitals and Allied services Limited\n\nwww.nanavatimaxhospital.org", "predicted": "NANAVATI MAX Super Speciality Hospital 28/11/25\n\nTo\n WHOM SO EVER IT MAY CONCERNS\n\n Mrs. Tanvi Mehta, 33/F, k/c/o CKD stage 5\nis planned for Live related kidney transplant\non 2/12/2025. Post op patient is given\n immunosuppressants so require Isolation/\n Single room for infection prevention.\n So kindly consider the same.\n\n DR. BALABHAI NANAVATI HOSPITAL MUMBAI - 56\n For Dr. Jatin Kothari.\n\nDr. Balabhai Nanavati Hospital (Charitable)\nS.V. Road, Vile Parle (W), Mumbai - 400 056\nTel.: +91-22-6134 7500\nManaged by Max Hospitals and Allied Services Limited\n\nwww.nanavatimaxhospital.org", "correct": false, "input_tokens": 1140, "output_tokens": 2393, "elapsed_seconds": 31.459814125089906, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.8921, "attempts": 1, "retries": 0, "total_seconds": 31.5188}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 23, "image": "058e2b7c-372e-4d28-8921-9686341124d1_png.rf.17dd3d796974c2aef56049a1e6edcee8.jpg", "expected": "Sir Ganga Ram Hospital\nSir Ganga Ram Hospital Marg, Rajinder Nagar,\nNew Delhi-110060, INDIA Tel : +91-11-4225 4000\n\nMedical Superintendent (Offg.)\nSir Ganga Ram Kolmet Hospital, 7-B, Pusa Road,\nNew Delhi-110005. Tel : +91-11-45099999, (D) 45099980\n\nDr. Raj Kamal Agarwal\nSr. Consultant\nDeptt. of Anaesthesiology\nPain & Peri Operative Medicine\nMobile : +91 98101 52201\nE-mail : kamalagarwal300@gmail.com\n\nTO WHOM IT MAY CONCERN\n\nAs per ICMR guideline, the contacts of COVID +ve cases should be put on HOME ISOLATION even with Mild Symptoms\n\nIt is advised that everybody takes these preventive medication apart from following SOCIAL DISTANCING, HAND HYGIENE & WEARING MASK\n\nRx\n\u2022 TAB HYDROXY CHLOROQUINE 400mg once a week\n\u2022 TAB VITAMIN C one gram once a day\n\u2022 TAB ZINC 50 mg once a day\n\nIn case of fever\n\n* \u2022 TAB CROCIN/CALPOL 650 mg SOS\n\nIn case of throat pain & cough\n\n* \u2022 TAB CETRIZINE 10mg once a day.\n\u2022 SYRUP ALEX 2/3 Tea spoon 3 times a day.\n\nDr. RAJ KAMAL AGARWAL\nMBBS, DA\nDMC No. 14517\nSENIOR CONSULTANT\nDEPTT. OF ANAESTHSIOLOGY\nPERIOPERATIVE MEDICINE & PAIN\nSIR GANGARAM HOSPITAL\nRAJINDER NAGAR, NEW DELHI-110060\nPh.9810152201\n\nResidence :\n181, Royalton Tower, Princeton Estate, DLF Phase-V, Gurugram, Haryana", "predicted": "Sir Ganga Ram Hospital Dr. Raj Kamal Agarwal\nSir Ganga Ram Hospital Marg, Rajinder Nagar, Sr. Consultant\nNew Delhi-110060, INDIA Tel : +91-11-4225 4000 Deptt. of Anaesthesiology\nMedical Superintendent (Offg.) Pain & Peri Operative Medicine\nSir Ganga Ram Kolmet Hospital, 7-B, Pusa Road, Mobile : +91 98101 52201\nNew Delhi-110005. Tel : +91-11-45099999, (D) 45099980 E-mail : kamalagarwal300@gmail.com\n\nTO WHOM IT MAY CONCERN\n\nAs per ICMR guideline, the contacts of\nCOVID +ve cases should be put on HOME\nISOLATION even with Mild Symptoms\nIt is advised that everybody takes these\npreventive medication apart from following\nSOCIAL DISTANCING, HAND HYGIENE & WEARING\nMASK\nRx\n\u2022 TAB HYDROXY CHLOROQUINE 400mg once a week\n\u2022 TAB VITAMIN C one gram once a day\n\u2022 TAB ZINC 50 mg once a day\nIn case of fever\n* \u2022 TAB CROCIN/CALPOL 650 mg SOS\nIn case of throat pain & cough\n* \u2022 TAB CETRIZINE 10 mg once a day.\n\u2022 SYRUP ALEX 2/3 tea spoon 3 times a day.\n\nDR. RAJ KAMAL AGARWAL\nMBBS, DA\nDMC No. 4537\nSENIOR CONSULTANT\nDEPTT. OF ANAESTHSIOLOGY\nPERIOPERATIVE MEDICINE & PAIN\nSIR GANGARAM HOSPITAL\nRAJINDER NAGAR, NEW DELHI-110060\nPH: 9810152201\n\nResidence :\n181, Royalton Tower, Princeton Estate, DLF Phase-V, Gurugram, Haryana-122002", "correct": false, "input_tokens": 1152, "output_tokens": 5394, "elapsed_seconds": 79.7148417920107, "metadata": {"question": "Transcribe all handwritten and printed text exactly as written, reading top to bottom and left to right, and omit nothing; mark only genuinely unreadable words as [illegible]. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.7819, "attempts": 1, "retries": 0, "total_seconds": 79.7992}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 24, "image": "1b4e5426-d109-4398-8e45-ab1dc497980f_png.rf.bded2a0f08d8a00ca919034e8f04cf48.jpg", "expected": "Lesson \n1.1\n\nReading (Recognizing Uppercase and Lowercase Letters)\n\nActivity\n\nCircle the matching lowercase letter in each row. The first one has been completed.\n\n| | | | | |\n|---|---|---|---|---|\n| A | c | (a) | e | h |\n| B | v | n | (b) | l |\n| C | a | w | e | (c) |\n| D | (d) | l | t | i |\n| E | b | m | x | (e) |\n| F | e | o | (f) | p |\n| G | h | (g) | r | s |\n| H | v | a | (h) | r |\n| I | c | a | (i) | p |\n| J | t | y | o | (j) |\n| K | (k) | x | d | u |\n| L | o | (l) | a | t |\n| M | b | (m) | n | w |", "predicted": "Lesson 1.1\n\n# Reading (Recognizing Uppercase and Lowercase Letters)\n\n## Activity\n\n**Circle the matching lowercase letter in each row. The first one has been completed.**\n\n| | | | | |\n| :---: | :---: | :---: | :---: | :---: |\n| A | c | a | e | h |\n| B | v | n | b | l |\n| C | a | w | e | c |\n| D | d | l | t | i |\n| E | b | m | x | e |\n| F | e | o | f | p |\n| G | h | g | r | s |\n| H | v | a | h | r |\n| I | c | a | i | p |\n| J | t | y | o | j |\n| K | k | x | d | u |\n| L | o | l | a | t |\n| M | b | m | n | w |\n\nTabsera", "correct": false, "input_tokens": 1190, "output_tokens": 914, "elapsed_seconds": 12.352002125000581, "metadata": {"question": "Transcribe every piece of text in this image exactly as written, in reading order, preserving question and option numbering, and omit nothing. Write mathematical expressions in LaTeX and format the result as Markdown that mirrors the layout. Ignore the vertical text printed sideways along the page margin.", "match_method": "similarity", "score": 0.8632, "attempts": 1, "retries": 0, "total_seconds": 12.3882}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 25, "image": "9e81338a-33bb-479d-939a-0df376f0a972_png.rf.917d36705351e18951147dc224677339.jpg", "expected": "yes exactly! a bit like i'm being manipulated in some creepy way. \"please like me, look how much i know about you, we are good friends\".", "predicted": "Andrej Karpathy @karpathy \u00b7 1\u5c0f\u65f6\nyes exactly! a bit like i'm being manipulated in some creepy way. \"please like\nme, look how much i know about you, we are good friends\".\n4 2 105 4,300", "correct": false, "input_tokens": 1184, "output_tokens": 882, "elapsed_seconds": 40.06069979199674, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom, keeping each author's handle with their message, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the last (bottom-most) tweet authored by Andrej Karpathy (@karpathy).", "match_method": "similarity", "score": 0.7418, "attempts": 1, "retries": 0, "total_seconds": 40.0958}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 26, "image": "e6e06b1b-da53-41ac-bfdf-9316443ff037_png.rf.39688157a0a030c060170f7400170d30.jpg", "expected": "31/3/24 AI OCR Tools\n\nQuite unusually for me, this essay started its life as a scribble in a notebook rather than something I typed into a markdown editor. A few weeks ago Tiago Forte made a short video suggesting that people can use GPT4-V to capture their hand-written notes digitally. I've been looking for a \"smart\" OCR tool that can process my terribly scratchy, spidery hand writing for many years and none have quite cut the mustard. But, I thought, why not give it a go. To my absolute surprise, GPT did a phenomenal job of parsing my scrawlings and spitting out text. I was seriously impressed. Handwriting OCR has now gone from a fun toy and conversation piece to something I can actually, seriously use in my workflow. So then, is GPT via ChatGPT the best option I've got for this task or are there any FOSS tools and models that I could use instead?\n\nThe Closest option: CRAFT-TROCR\n\nI played with this a couple of years ago and it was reasonably good at certain content but only if I write in my very best hand writing all the time. And I don't do that because when I am taking notes in a meeting or something, I am thinking about the meeting, not my hand writing.\n\nHow does CRAFT-TROCR work? Are there any major differences? I'm guessing a big transformer model is able to maximise probability globally across the image + the generated text.\n\n68", "predicted": "31/3/24 AI OCR Tools\n\nQuite unusually for me, this essay started its life\nas a scribble in a notebook rather than something\nI typed into a markdown editor. A few weeks ago\nTiago Forte made a short video suggesting that\npeople can use GPT4-V to capture their hand-written\nnotes digitaly. I've been looking for a \"smart\"\nOCR tool that can process my terribly scratchy,\nspidery hand writing for many years and none have\nquite cut the mustard. But, I thought, why not\ngive it a go. To my absolute surprise, GPT did\na phenomenal job of parsing my scrawlings and\nspitting out text. I was seriously impressed.\nHandwriting OCR has now gone from a fun toy\nand conversation piece to something I can actually, seriously\nuse in my workflow. So then, is GPT via ChatGPT\nthe best option I've got for this task or are\nthere any FOSS tools and models that I could\nuse instead?\n\nThe Classic option: CRAFT-TROCR\n\nI played with this a couple of years ago and\nit was reasonably good at certain content but only\nif I write in my very best hand writing all the time.\nAnd I don't do that because when I am taking\nnotes in a meeting or something, I am thinking about\nthe meeting, not my hand writing.\n\nHow does CRAFT-TROCR work? Are there any major\ndifferences? I'm guessing a big transformer model\nis able to maximise probability globally across the\nimage + the generated text.\n\n68", "correct": true, "input_tokens": 1210, "output_tokens": 2027, "elapsed_seconds": 54.02177133306395, "metadata": {"question": "Transcribe all handwritten and printed text exactly as written, reading top to bottom and left to right, and omit nothing; mark only genuinely unreadable words as [illegible]. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the text on the left page of the notebook, ignoring the partially visible right page.", "match_method": "similarity", "score": 0.9779, "attempts": 1, "retries": 0, "total_seconds": 54.0701}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 27, "image": "d1d7aaf7-169c-4847-866d-61bc0a6784b4_png.rf.47c7117d83bf6448f821dbc28e0e6255.jpg", "expected": "R\u00c9PUBLIQUE FRAN\u00c7AISE\nCARTE NATIONALE D'IDENTIT\u00c9 / IDENTITY CARD\n\nNOM / Surname \nMARTIN\n\nPr\u00e9noms / Given names \nMa\u00eblys Ga\u00eblle, Marie\n\nSEXE / Sex\nF\n\nNATIONALIT\u00c9 / Nationality\nFRA\n\nDATE DE NAISS. / Date of birth \n13 07 1990\n\nLIEU DE NAISSANCE / Place of birth \nPARIS\n\nNOM D'USAGE / Alternate name \nNOM D'USAGE\n\nN\u00b0 DU DOCUMENT / Document No. \nX4RTBPFW4\n\nDATE D'EXPIR. / Expiry date \n11 02 2030\n\nSignature\n\n384213", "predicted": "R\u00c9PUBLIQUE FRAN\u00c7AISE FR\nCARTE NATIONALE D'IDENTIT\u00c9 / IDENTITY CARD\nNOM / Surname\nMARTIN\nPr\u00e9noms / Given names\nMa\u00eblys-Ga\u00eblle, Marie\nSEXE / Sex NATIONALIT\u00c9 / Nationality DATE DE NAISS. / Date of birth\nF FRA 13 07 1990\nLIEU DE NAISSANCE / Place of birth\nPARIS\nNOM D'USAGE / Alternate name\nNOM D'USAGE\nN\u00b0 DU DOCUMENT / Document No. DATE D'EXPIR. / Expiry date\nX4RTBPFW4 11 02 2030\n384213", "correct": false, "input_tokens": 1179, "output_tokens": 1898, "elapsed_seconds": 33.87406824994832, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the main identity document, reading top to bottom and left to right, and ignore the vertical text along the left edge, the signature graphic, and the faint background watermark.", "match_method": "similarity", "score": 0.8504, "attempts": 1, "retries": 0, "total_seconds": 33.9379}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 28, "image": "bcd74d99-f2d8-4005-aa54-2cc083e5a293_png.rf.1d000af6e7da39b4a95398db67f4bcbb.jpg", "expected": "4/16/26, 3:09 PM\n\nDocs\n\nGetting Started with Docker setup\n\nTo begin developing and deploying applications within this environment, you must have Docker Engine and the Docker Compose plugin installed. Follow the steps below to set up the environment on a Debian/Ubuntu-based system.\n\n1. Update the Package Index\n\nsudo apt update\n\nsudo apt install -y ca-certificates curl gnupg lsb-release\n\ncurl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --dearmor -o /etc/apt/keyrings/docker.gpg\n\nsudo chmod a+r /etc/apt/keyrings/docker.gpg\n\necho \\\n \"deb [arch=$(dpkg --print-architecture) signed-by=/etc/apt/keyrings/docker.gpg] https://download.docker.com/linux/ubuntu \\\n $(. /etc/os-release && echo \"$VERSION_CODENAME\") stable\" | \\\n sudo tee /etc/apt/sources.list.d/docker.list > /dev/null\n\nsudo apt update\n\nsudo apt install -y docker-ce docker-ce-cli containerd.io docker-buildx-plugin docker-compose-plugin", "predicted": "4/16/26, 3:09 PM Docs\n\nGetting Started with Docker setup\n\nTo begin developing and deploying applications within this environment, you must\nhave Docker Engine and the Docker Compose plugin installed. Follow the steps\nbelow to set up the environment on a Debian/Ubuntu-based system.\n\n1. Update the Package Index\n\nsudo apt update\n\nsudo apt install -y ca-certificates curl gnupg lsb-release\n\ncurl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --\ndearmor -o /etc/apt/keyrings/docker.gpg\n\nsudo chmod a+r /etc/apt/keyrings/docker.gpg\n\necho \\\n \"deb [arch=$(dpkg --print-architecture) signed-\nby=/etc/apt/keyrings/docker.gpg]\nhttps://download.docker.com/linux/ubuntu \\\n $(. /etc/os-release && echo \"$VERSION_CODENAME\") stable\" | \\\n sudo tee /etc/apt/sources.list.d/docker.list > /dev/null\n\nsudo apt update\n\nsudo apt install -y docker-ce docker-ce-cli containerd.io docker-\nbuildx-plugin docker-compose-plugin", "correct": true, "input_tokens": 1161, "output_tokens": 1191, "elapsed_seconds": 12.886133374995552, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9913, "attempts": 1, "retries": 0, "total_seconds": 12.8973}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 29, "image": "8aa12106-fbe5-4983-96bf-a1243a7c4020_png.rf.83832cdeaaf470d6954bbada16920ccd.jpg", "expected": "\"Jade City\"\nBaan 16 - 8256 AX\nBiddinghuizen\n\nT.Nr: L7\n\n
1 Gebraden magere spek met pikante saus a 19.50 (1 Nasi a EUR 1.00)EUR20.50
1 Chinese bami a la \"Jade City\" a 19.00EUR19.00
1 Babi pangang met pikante saus a 19.00 (1 Nasi a EUR 1.00)EUR20.00
1 Koe Loe Kai a 18.00 (1 Nasi a EUR 1.00)EUR19.00
1 Ossenhaas met oestersaus a 21.00EUR21.00
2 Dame blanche(ijs.choc.slagroom)EUR9.00
1 Cola a 3.25EUR3.25
2 Cola-max a 3.25EUR6.50
1 Sinas a 3.25EUR3.25
1 Seven-up a 3.25EUR3.25
2 ice thee met prik a 3.75EUR7.50
3 ijs a 4.00EUR12.00
\n\n============ +\nTotaal: EUR 144.25\n============\n\nBTW 9.0% EUR 11.91\n\nBedankt voor Uw bezoek\nRabobank NL29 0348178123\nKvk 39037611", "predicted": "\"Jade City\"\nBaan 16 - 8256 AX\nBiddinghuizen\n\nT.Nr: L7\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
1 Gebraden magere spek metEUR20.50
pikante saus a 19.50
(1 Nasi a EUR 1.00)
1 Chinese bami a la \"JadeEUR19.00
City\" a 19.00
1 Babi pangang met pikanteEUR20.00
saus a 19.00
(1 Nasi a EUR 1.00)
1 Koe Loe Kai a 18.00EUR19.00
(1 Nasi a EUR 1.00)
1 Ossenhaas met oestersausEUR21.00
a 21.00
2 DameEUR9.00
blanche(ijs.choc.slagroom)
1 Cola a 3.25EUR3.25
2 Cola-max a 3.25EUR6.50
1 Sinas a 3.25EUR3.25
1 Seven-up a 3.25EUR3.25
2 ice thee met prik a 3.75EUR7.50
3 ijs a 4.00EUR12.00
=========== +
Totaal: EUR144.25
===========
\n\nBTW 9.0% EUR 11.91\n\nBedankt voor Uw bezoek\nRabobank NL29 0348178123\nKvk 39037611", "correct": false, "input_tokens": 1204, "output_tokens": 4662, "elapsed_seconds": 49.42288470896892, "metadata": {"question": "Transcribe all text in this document exactly and completely, in reading order, preserving casing, punctuation, currency symbols, and codes. Use an HTML table only for genuinely tabular content, mirroring its rows, columns, and merged cells; write the HTML on single lines with no indentation or blank lines between tags, and collapse horizontal alignment to a single space. Transcribe only the main receipt in the foreground, and ignore the upside-down, semi-transparent receipt behind it.", "match_method": "similarity", "score": 0.6585, "attempts": 1, "retries": 0, "total_seconds": 49.4927}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 30, "image": "11b83a24-c9b8-4d9a-b4db-b73d396719cd_png.rf.358e9a65b048e920c8eacbd7b7fb1df6.jpg", "expected": "Something tells me that if they released their chat/tool/hyper-param templates which they use on their cloud service, there'd be a lot more love and acceptance. Why anyone is still using a llama.cpp wrapper anymore is the better question and beyond me.", "predicted": "Eric @Ex0byt \u00b7 1\u5c0f\u65f6\nSomething tells me that if they released their chat/tool/hyper-param\ntemplates which they use on their cloud service, there\u2019d be a lot more love\nand acceptance. Why anyone is still using a llama.cpp wrapper anymore is\nthe better question and beyond me.\n40", "correct": false, "input_tokens": 1199, "output_tokens": 2809, "elapsed_seconds": 32.993787624989636, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom, keeping each author's handle with their message, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the reply authored by Eric (@Ex0byt).", "match_method": "similarity", "score": 0.9051, "attempts": 1, "retries": 0, "total_seconds": 33.0264}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 31, "image": "fc6e5e8d-4b33-4a20-a63a-96c0205ae8f6_png.rf.6cdeb04c221a85b1895ded05acdbfa1b.jpg", "expected": "When recorded return to:\nSTRIBLING LAW FIRM PO\n101 E MCINTOSH ST\nMILLEDGEVILLE GA 3106\n\nDoc ID: 001029530008 Type: GLR\nRecorded: 10/21/2013 at 04:07:30 PM\nPage 1 of 8\nBaldwin, Ga. Clerk Superior Court\nRosemary Phillips Clerk of Courts\nBK 1150 PG 483-490\n\nFILED & RECORDED\nCLERK, SUPERIOR COURT\nBALDWIN COUNTY, GA\n2013 OCT 21 PM 4: 07\nBY\nROSEMARY PHILLIPS, CLERK\n\nDeed To Secure Debt\n(With Future Advance Clause)\n\n1. Date and Parties. The date of this Deed to Secure Debt (Security Instrument) is OCTOBER 21, 2013\n. The parties and their addresses are:\n\nGrantor: THE BRACK FAMILY LIMITED\nPARTNERSHIP\n891 S JEFFERSON STREET SE\nMILLEDGEVILLE GA 31061\n\n\u2610 If checked, refer to the attached Addendum incorporated herein, for additional Grantors, their signatures\nand acknowledgments.\n\nGrantee: CENTURY BANK AND TRUST\n(\"Lender\") 141 S WAYNE ST\nMILLEDGEVILLE, GA 31061-5708\n\n2. Conveyance. For good and valuable consideration, the receipt and sufficiency of which is acknowledged,\nand to secure the Secured Debt (defined below) and Grantor\u2019s performance under this Security Instrument,\nGrantor irrevocably grants, bargains, transfers, conveys and sells to Lender, with power of sale, the\nfollowing described property:\n*SEE EXHIBIT 'A' ATTACHED HERETO AND INCORPORATED HEREIN BY REFERENCE.\n\nThe property is located in BALDWIN at\n(County)\n101 KINGS RD , MILLEDGEVILLE , Georgia 31061-0000\n(Address) (City) (ZIP Code)\nTogether with all rights, easements, appurtenances, royalties, mineral rights, oil and gas rights, all water and\nriparian rights, ditches, and water stock and all existing and future improvements, structures, fixtures, and\nreplacements that may now, or at any time in the future, be part of the real estate described above (all\nreferred to as \"Property\").\n\n3. Maximum Obligation Limit. The total principal amount secured by this Security Instrument at any one time\nshall not exceed $ UNLIMITED . This limitation of amount does not include\ninterest and other fees and charges validly made pursuant to this Security Instrument. Also, this limitation\ndoes not apply to advances made under the terms of this Security Instrument to protect Lender\u2019s security and\nto perform any of the covenants contained in this Security Instrument.\n\nReal Estate Security Instrument-Consumer-GA\nVMP\u00ae Bankers Systems\u2122\nWolters Kluwer Financial Services \u00a9 1994, 2011\n\nRE-DSD-GA 1/24/2011\nVMPC231(GA) (1101).00\nPage 1 of 6\n\nBB R# 189300", "predicted": "When recorded return to:\nSTRIBLING LAW FIRM PC\n101 E MCINTOSH ST\nMILLEDGEVILLE GA 31061\n2\n\nDoc ID: 001029530008 Type: GLR\nRecorded: 10/21/2013 at 04:07:30 PM\nPage 1 of 8\nBaldwin, Ga. Clerk Superior Court\nRosemary Phillips Clerk of Courts\nBK 1150 PG483-490\n\nFILED & RECORDED\nCLERK, SUPERIOR COURT\nBALDWIN COUNTY, GA\n2013 OCT 21 PM 4: 07\nBY Barbara Boyer\nROSEMARY PHILLIPS, CLERK\nDty Clerk\n\nDeed To Secure Debt\n(With Future Advance Clause)\n\n1. Date and Parties. The date of this Deed to Secure Debt (Security Instrument) is OCTOBER 21, 2013\n . The parties and their addresses are:\n\n Grantor: THE BRACK FAMILY LIMITED\n PARTNERSHIP\n 891 S JEFFERSON STREET SE\n MILLEDGEVILLE GA 31061\n\n If checked, refer to the attached Addendum incorporated herein, for additional Grantors, their signatures\n and acknowledgments.\n\n Grantee: CENTURY BANK AND TRUST\n (\"Lender\") 141 S WAYNE ST\n MILLEDGEVILLE, GA 31061-5708\n\n2. Conveyance. For good and valuable consideration, the receipt and sufficiency of which is acknowledged,\n and to secure the Secured Debt (defined below) and Grantor's performance under this Security Instrument,\n Grantor irrevocably grants, bargains, transfers, conveys and sells to Lender, with power of sale, the\n following described property:\n *SEE EXHIBIT 'A' ATTACHED HERETO AND INCORPORATED HEREIN BY REFERENCE.\n\n The property is located in BALDWIN at\n (County)\n 101 KINGS RD , MILLEDGEVILLE , Georgia 31061-0000\n (Address) (City) (ZIP Code)\n Together with all rights, easements, appurtenances, royalties, mineral rights, oil and gas rights, all water and\n riparian rights, ditches, and water stock and all existing and future improvements, structures, fixtures, and\n replacements that may now, or at any time in the future, be part of the real estate described above (all\n referred to as \"Property\").\n\n3. Maximum Obligation Limit. The total principal amount secured by this Security Instrument at any one time\n shall not exceed $ UNLIMITED . This limitation of amount does not include\n interest and other fees and charges validly made pursuant to this Security Instrument. Also, this limitation\n does not apply to advances made under the terms of this Security Instrument to protect Lender's security and\n to perform any of the covenants contained in this Security Instrument.\n\nReal Estate Security Instrument-Consumer-GA RE-DSD-GA 1/24/2011\nVMP\u00ae Bankers Systems\u2122 VMPC231(GA) (1101).00\nWolters Kluwer Financial Services \u00a9 1994, 2011 Page 1 of 6\n\nBB R# 189300", "correct": false, "input_tokens": 1168, "output_tokens": 2821, "elapsed_seconds": 24.61324308393523, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9424, "attempts": 1, "retries": 0, "total_seconds": 24.643}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 32, "image": "c05c3288-ac14-47d6-8756-9ad484ae9696_png.rf.0ff67a7a39c5d5c7c9739988d851c032.jpg", "expected": "COST OF LIVING\n\nThe following figures are a general guide to essential monthly expenses for an expatriate executive living in Azerbaijan.\n\nMarried\nSingle couple with\nperson two children\n(US$) (US$)\n\nRent 800 3,000\nFood 300 1,200\nTransport 150 300\nUtilities 100 150\nEducation n. a. 1,000\nMiscellaneous 500 1,000\n\nTotal 1,850 6,650", "predicted": "COST OF LIVING\n\nThe following figures are a general guide to\nessential monthly expenses for an expatriate\nexecutive living in Azerbaijan.\n\nMarried\nSingle couple with\nperson two children\n(US$) (US$)\nRent 800 3,000\nFood 300 1,200\nTransport 150 300\nUtilities 100 150\nEducation n. a. 1,000\nMiscellaneous 500 1,000\nTotal 1,850 6,650", "correct": true, "input_tokens": 1164, "output_tokens": 882, "elapsed_seconds": 12.427977291983552, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9878, "attempts": 1, "retries": 0, "total_seconds": 12.4658}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 33, "image": "5327a38f-11a2-45f2-9a38-e1375dfbeb43_png.rf.b6a2243d098302d780056ad980a16a9c.jpg", "expected": "Probabilistic two-stage detection\n\ncosts of the second stage. Our second stage makes full use of years of progress in two-stage detection (Cai & Vasconcelos, 2018; Chen et al., 2019a) and yields a significant increase in detection accuracy over one-stage baselines. It also easily scales to large-vocabulary detection.\n\nExperiments on COCO (Lin et al., 2014), LVIS (Gupta et al., 2019), and Objects365 (Shao et al., 2019) demonstrate that our probabilistic two-stage framework boosts the accuracy of a strong CascadeRCNN model by 1-3 mAP, while also improving its speed. Using a standard ResNeXt-101-DCN backbone with a CenterNet (Zhou et al., 2019a) first stage, our detector achieves 50.2 mAP on COCO test-dev. With a strong Res2Net-101-DCN-BiFPN (Gao et al., 2019a; Tan et al., 2020b) backbone and self-training (Zoph et al., 2020), it achieves 56.4 mAP with single-scale testing, outperforming all published results. Using a small DLA-BiFPN backbone and lower input resolution, we achieve 49.2 mAP on COCO at 33 fps on a Titan Xp, outperforming the popular YOLOv4 model (43.5 mAP at 33 fps) on the same hardware. Code and models are release at https://github.com/xingyizhou/CenterNet2.\n\n2. Related Work\n\nOne-stage detectors jointly predict an output class and location of objects densely throughout the image. RetinaNet (Lin et al., 2017b) classifies a set of predefined sliding anchor boxes and handles the foreground-background imbalance by reweighting losses for each output. FCOS (Tian et al., 2019) and CenterNet (Zhou et al., 2019a) eliminate the need of multiple anchors per pixel and classify foreground/background by location. ATSS (Zhang et al., 2020b) and PAA (Kim & Lee, 2020) further improve FCOS by changing the definition of foreground and background. GFL (Li et al., 2020b) and Autoassign (Zhu et al., 2020a) change the hard foreground-background assignment to a weighted soft assignment. AlignDet (Chen et al., 2019c) uses a deformable convolution layer before the output to gather richer features for classification and regression. RepPoint (Yang et al., 2019) and DenseRepPoint (Yang et al., 2020) encode bounding boxes as the outline of a set of points and use the features of the point set for classification. BorderDet (Qiu et al., 2020) pools features along the bounding box for better localization. Most one-stage detectors have a sound probabilistic interpretation.\n\nWhile one-stage detectors have achieved competitive performance (Zhang et al., 2020b; Kim & Lee, 2020; Zhang et al., 2019; Li et al., 2020b; Zhu et al., 2020a), they usually rely on heavier separate classification and regression branches than two-stage models. In fact, they are no longer faster than their two-stage counterparts if the vocabulary (i.e., the set of object classes) is large (as in the LVIS or Objects365 datasets). Also, one-stage detectors only use the local features of the positive cell for regression and classification, which is sometimes misaligned with the object (Chen et al., 2019c; Song et al., 2020).\n\nOur probabilistic two-stage framework retains the probabilistic interpretation of one-stage detectors, but factorizes the probability distribution over multiple stages, improving both accuracy and speed.\n\nTwo-stage detectors first use a region proposal network (RPN) to generate coarse object proposals, and then use a dedicated per-region head to classify and refine them. Faster-RCNN (Ren et al., 2015; He et al., 2017) uses two fully-connected layers as the RoI heads. CascadeRCNN (Cai & Vasconcelos, 2018) uses three cascaded stages of Faster-RCNN, each with a different positive threshold so that the later stages focus more on localization accuracy. HTC (Chen et al., 2019a) utilizes additional instance and semantic segmentation annotations to enhance the inter-stage feature flow of CascadeRCNN. TSD (Song et al., 2020) decouples the classification and localization branches for each RoI.\n\nTwo-stage detectors are still more accurate in many settings (Gupta et al., 2019; Sun et al., 2020; Kuznetsova et al., 2018). Currently, all two-stage detectors use a relatively weak RPN that maximizes the recall of the top 1K proposals, and does not utilize the proposal score at test time. The large number of proposals slows the system down, and the recall-based proposal network does not directly offer the same clear probabilistic interpretation as one-stage detectors. Our framework addresses this, and integrates a strong class-agnostic single-stage object detector with later classification stages. Our first stage uses fewer, but higher quality, regions, yielding both faster inference and higher accuracy.\n\nOther detectors. A family of object detectors identify objects via points in the image. CornerNet (Law & Deng, 2018) detects the top-left and bottom-right corners and groups them using an embedding feature. ExtremeNet (Zhou et al., 2019b) detects four extreme points and groups them using an additional center point. Duan et al. (2019) detect the center point and use it to improve corner grouping. Corner Proposal Net (Duan et al., 2020) uses pairwise corner groupings as region proposals. CenterNet (Zhou et al., 2019a) detects the center point and regresses the bounding box parameters from it.\n\nDETR (Carion et al., 2020) and Deformable DETR (Zhu et al., 2020c) remove the dense output in a detector, and instead use a Transformer (Vaswani et al., 2017) that directly predicts a set of bounding boxes.\n\nThe major difference between point-based detectors, DETR, and conventional detectors lies in the network architecture. Point-based detectors use a fully-convolutional network (Newell et al., 2016; Yu et al., 2018), usually with symmetric downsampling and upsampling layers, and pro-", "predicted": "Probabilistic two-stage detection\n\ncosts of the second stage. Our second stage makes full use\nof years of progress in two-stage detection (Cai & Vascon-\ncelos, 2018; Chen et al., 2019a) and yields a significant\nincrease in detection accuracy over one-stage baselines. It\nalso easily scales to large-vocabulary detection.\nExperiments on COCO (Lin et al., 2014), LVIS (Gupta\net al., 2019), and Objects365 (Shao et al., 2019) demon-\nstrate that our probabilistic two-stage framework boosts the\naccuracy of a strong CascadeRCNN model by 1-3 mAP,\nwhile also improving its speed. Using a standard ResNeXt-\n101-DCN backbone with a CenterNet (Zhou et al., 2019a)\nfirst stage, our detector achieves 50.2 mAP on COCO test-\ndev. With a strong Res2Net-101-DCN-BiFPN (Gao et al.,\n2019a; Tan et al., 2020b) backbone and self-training (Zoph\net al., 2020), it achieves 56.4 mAP with single-scale testing,\noutperforming all published results. Using a small DLA-\nBiFPN backbone and lower input resolution, we achieve\n49.2 mAP on COCO at 33 fps on a Titan Xp, outperforming\nthe popular YOLOv4 model (43.5 mAP at 33 fps) on the\nsame hardware. Code and models are release at https:\n//github.com/xingyizhou/CenterNet2.\n\n2. Related Work\n\nOne-stage detectors jointly predict an output class and\nlocation of objects densely throughout the image. Reti-\nnaNet (Lin et al., 2017b) classifies a set of predefined sliding\nanchor boxes and handles the foreground-background im-\nbalance by reweighting losses for each output. FCOS (Tian\net al., 2019) and CenterNet (Zhou et al., 2019a) elimi-\nnate the need of multiple anchors per pixel and classify\nforeground/background by location. ATSS (Zhang et al.,\n2020b) and PAA (Kim & Lee, 2020) further improve FCOS\nby changing the definition of foreground and background.\nGFL (Li et al., 2020b) and Autoassign (Zhu et al., 2020a)\nchange the hard foreground-background assignment to a\nweighted soft assignment. AlignDet (Chen et al., 2019c)\nuses a deformable convolution layer before the output to\ngather richer features for classification and regression. Rep-\nPoint (Yang et al., 2019) and DenseRepPoint (Yang et al.,\n2020) encode bounding boxes as the outline of a set of\npoints and use the features of the point set for classification.\nBorderDet (Qiu et al., 2020) pools features along the bound-\ning box for better localization. Most one-stage detectors\nhave a sound probabilistic interpretation.\nWhile one-stage detectors have achieved competitive perfor-\nmance (Zhang et al., 2020b; Kim & Lee, 2020; Zhang et al.,\n2019; Li et al., 2020b; Zhu et al., 2020a), they usually rely\non heavier separate classification and regression branches\nthan two-stage models. In fact, they are no longer faster\nthan their two-stage counterparts if the vocabulary (i.e., the\nset of object classes) is large (as in the LVIS or Objects365\ndatasets). Also, one-stage detectors only use the local fea-\nture of the positive cell for regression and classification,\nwhich is sometimes misaligned with the object (Chen et al.,\n2019c; Song et al., 2020).\nOur probabilistic two-stage framework retains the proba-\nbilistic interpretation of one-stage detectors, but factorizes\nthe probability distribution over multiple stages, improving\nboth accuracy and speed.\nTwo-stage detectors first use a region proposal network\n(RPN) to generate coarse object proposals, and then use a\ndedicated per-region head to classify and refine them. Faster-\nRCNN (Ren et al., 2015; He et al., 2017) uses two fully-\nconnected layers as the RoI heads. CascadeRCNN (Cai &\nVasconcelos, 2018) uses three cascaded stages of Faster-\nRCNN, each with a different positive threshold so that the\nlater stages focus more on localization accuracy. HTC (Chen\net al., 2019a) utilizes additional instance and semantic seg-\nmentation annotations to enhance the inter-stage feature\nflow of CascadeRCNN. TSD (Song et al., 2020) decouples\nthe classification and localization branches for each RoI.\nTwo-stage detectors are still more accurate in many set-\ntings (Gupta et al., 2019; Sun et al., 2020; Kuznetsova et al.,\n2018). Currently, all two-stage detectors use a relatively\nweak RPN that maximizes the recall of the top 1K propos-\nals, and does not utilize the proposal score at test time. The\nlarge number of proposals slows the system down, and the\nrecall-based proposal network does not directly offer the\nsame clear probabilistic interpretation as one-stage detec-\ntors. Our framework addresses this, and integrates a strong\nclass-agnostic single-stage object detector with later classi-\nfication stages. Our first stage uses fewer, but higher quality,\nregions, yielding both faster inference and higher accuracy.\nOther detectors. A family of object detectors iden-\ntify objects via points in the image. CornerNet (Law\n& Deng, 2018) detects the top-left and bottom-right cor-\nners and groups them using an embedding feature. Ex-\ntremeNet (Zhou et al., 2019b) detects four extreme points\nand groups them using an additional center point. Duan\net al. (2019) detect the center point and use it to improve\ncorner grouping. Corner Proposal Net (Duan et al., 2020)\nuses pairwise corner groupings as region proposals. Cen-\nterNet (Zhou et al., 2019a) detects the center point and\nregresses the bounding box parameters from it.\nDETR (Carion et al., 2020) and Deformable DETR (Zhu\net al., 2020c) remove the dense output in a detector, and\ninstead use a Transformer (Vaswani et al., 2017) that directly\npredicts a set of bounding boxes.\nThe major difference between point-based detectors, DETR,\nand conventional detectors lies in the network architec-\nture. Point-based detectors use a fully-convolutional net-\nwork (Newell et al., 2016; Yu et al., 2018), usually with\nsymmetric downsampling and upsampling layers, and pro-", "correct": true, "input_tokens": 1156, "output_tokens": 6753, "elapsed_seconds": 67.96606350003276, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.979, "attempts": 1, "retries": 0, "total_seconds": 68.0056}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 34, "image": "f3701711-56c0-4e6d-94ad-edbe5931b13c_png.rf.0dfe995026d12d57bfa8621b501a51c9.jpg", "expected": "Table.10 Nutrient availability after harvesting of pigeon pea (pooled data of 3 years).\n\n
Tr.TreatmentsAvailable NAvailable PAvailable KDTPA-FeDTPA-ZnDTPA-CuDTPA-Mn
Kg ha-1mgkg-1
T1Absolute control (No Fertilizers)144.536.11535.003.350.411.114.60
T2RDF only (25:50:00 NPK/ha)147.517.21539.673.390.431.134.69
T3RDF+ 25 Kg K2O/ha148.427.57558.933.520.441.154.79
T4RDF+ 50 Kg K2O/ha154.517.71560.003.520.441.224.81
T5RDF+ 25 Kg K2O/ha+ Grade I micronutrient (soil application)154.697.59562.003.580.561.325.79
T6RDF+ 50Kg K2O/ha + Grade I micronutrient (soil application)157.918.16596.003.830.581.346.11
T7RDF+ 25 Kg K2O/ha + Grade II micronutrient (0.5 % foliar spray)155.407.90592.003.590.451.265.53
T8RDF+ 50 Kg K2O/ha + Grade II micronutrient (0.5 % foliar spray)157.058.12595.003.710.451.315.70
T9RDF+ 25 Kg K2O/ha + 2 % KNO3(foliar spray)148.677.60558.003.530.421.155.51
T10RDF+ 50 Kg K2O/ha + 2 % KNO3(foliar spray)152.517.77592.673.450.431.235.54
SEm (\u00b1)1.900.4111.300.020.020.010.32
CD at 5 %5.631.2733.540.060.030.97
Grand mean152.127.57568.933.540.081.225.31
\n\n13", "predicted": "Table.10 Nutrient availability after harvesting of pigeon pea (pooled data of 3 years).\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Tr.TreatmentsAvailable NAvailable PAvailable KDTPA-FeDTPA-ZnDTPA-CuDTPA-Mn
Kg ha\u207b\u00b9mgkg\u207b\u00b9
T\u2081Absolute control (No Fertilizers)144.536.11535.003.350.411.114.60
T\u2082RDF only (25:50:00 NPK/ha)147.517.21539.673.390.431.134.69
T\u2083RDF+ 25 Kg K\u2082O/ha148.427.57558.933.520.441.154.79
T\u2084RDF+ 50 Kg K\u2082O/ha154.517.71560.003.520.441.224.81
T\u2085RDF+ 25 Kg K\u2082O/ha+ Grade I micronutrient (soil application)154.697.59562.003.580.561.325.79
T\u2086RDF+ 50Kg K\u2082O/ha + Grade I micronutrient (soil application)157.918.16596.003.830.581.346.11
T\u2087RDF+ 25 Kg K\u2082O/ha + Grade II micronutrient (0.5 % foliar spray)155.407.90592.003.590.451.265.53
T\u2088RDF+ 50 Kg K\u2082O/ha + Grade II micronutrient (0.5 % foliar spray)157.058.12595.003.710.451.315.70
T\u2089RDF+ 25 Kg K\u2082O/ha + 2 % KNO\u2083(foliar spray)148.677.60558.003.530.421.155.51
T\u2081\u2080RDF+ 50 Kg K\u2082O/ha + 2 % KNO\u2083(foliar spray)152.517.77592.673.450.431.235.54
SEm (\u00b1)1.900.4111.300.020.020.010.32
CD at 5 %5.631.2733.540.060.030.97
Grand mean152.127.57568.933.540.081.225.31
\n\n13", "correct": false, "input_tokens": 1194, "output_tokens": 4055, "elapsed_seconds": 33.042670499999076, "metadata": {"question": "Transcribe all text in this document exactly and completely, in reading order, preserving casing, punctuation, currency symbols, and codes. Use an HTML table only for genuinely tabular content, mirroring its rows, columns, and merged cells; write the HTML on single lines with no indentation or blank lines between tags, and collapse horizontal alignment to a single space.", "match_method": "similarity", "score": 0.8716, "attempts": 1, "retries": 0, "total_seconds": 33.0762}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 35, "image": "c81c96a7-296d-4050-827a-f89309f7a523_png.rf.28cfadfc50dc15c7a43434f17af3489f.jpg", "expected": "will i am \nPlumbing & Heating\n\nBusiness Address \n24 Godwin House \nLondon, E2 8PH\n\n07851 499 470\n\n020 7 686 8226\n\ninfo@will-i-am-pnh.co.uk\n\nInvoice to: \nOrkun Acikgoz \nFlat 3 Pedlers Apartments, 1C Hewison \nStreet E3 2HZ\n\nInvoice No: 17065 \nDate: 12th May 2025\n\nRef: Flat 3 Pedlers Apartments, 1C Hewison \nStreet E3 2HZ\n\n
DESCRIPTIONQTYUNIT PRICETOTAL PRICE
Carried out an investigation, fault diagnosis and attempt to repair a leak going downstairs after the shower was used on 12/05/25 (2 hours on site - please refer to email for a report)2\u00a3100.00\u00a3200.00
Materials - x1 white silicone, x1 PTFE1\u00a310.78\u00a310.78
\n\n
SUBTOTAL:\u00a3210.78
20.0% S:\u00a342.16
TOTAL:\u00a3252.94
PAID:\u00a30.00
BALANCE DUE:\u00a3252.94
\n\nBank details as follows: \nBANK \u2013 HSBC \nwill i am Plumbing & Heating Limited \nSORT CODE \u2013 40-01-18 \nACCOUNT NO. - 41837478\n\n\u00a3252.94 due on 12th May 2025\n\nThank You", "predicted": "will i am\nPlumbing & Heating\n\nBusiness Address\n24 Godwin House\nLondon, E2 8PH\n07851 499 470\n020 7 686 8226\ninfo@will-i-am-pnh.co.uk\n\nInvoice to:\nOrkun Acikgoz\nFlat 3 Pedlers Apartments, 1C Hewison\nStreet E3 2HZ\n\nInvoice No: 17065\nDate: 12th May 2025\nRef: Flat 3 Pedlers Apartments, 1C Hewison\nStreet E3 2HZ\n\n\n\n\n\n
DESCRIPTIONQTYUNIT PRICETOTAL PRICE
Carried out an investigation, fault diagnosis and attempt to repair a leak going downstairs after the shower was used on 12/05/25 (2 hours on site - please refer to email for a report)2\u00a3100.00\u00a3200.00
Materials - x1 white silicone, x1 PTFE1\u00a310.78\u00a310.78
\n\nSUBTOTAL: \u00a3210.78\n20.0% S: \u00a342.16\nTOTAL: \u00a3252.94\nPAID: \u00a30.00\nBALANCE DUE: \u00a3252.94\n\nBank details as follows:\nBANK \u2013 HSBC\nwill i am Plumbing & Heating Limited\nSORT CODE \u2013 40-01-18\nACCOUNT NO. - 41837478\n\n\u00a3252.94 due on 12th May 2025\nThank You", "correct": false, "input_tokens": 1194, "output_tokens": 2048, "elapsed_seconds": 26.516415584017523, "metadata": {"question": "Transcribe all text in this document exactly and completely, in reading order, preserving casing, punctuation, currency symbols, and codes. Use an HTML table only for genuinely tabular content, mirroring its rows, columns, and merged cells; write the HTML on single lines with no indentation or blank lines between tags, and collapse horizontal alignment to a single space.", "match_method": "similarity", "score": 0.8594, "attempts": 1, "retries": 0, "total_seconds": 26.5431}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 36, "image": "b883e11d-433f-4c18-b0a5-11a0599a241b_png.rf.1efeebf4c96c16074b4f57edde37de47.jpg", "expected": "AUTORES\n\n01- ANA LUIZA BAPTISTA\n02- ANA MARA ALVES DE FREITAS\n03- AMANDA MACHADO AGUIAR\n04- ANDREA NICOLAU PASCHOAL\n05- CARLOS EDUARDO PEREIRA DE MELLO\n06- CRISTIANE HONDA\n07- DANIEL DELAZERI DE FARIA\n08- DIEGO VIEIRA DE SOUZA\n09- ILAN AKISABURO KIMURA\n10- MARIANA BOTELHO MENEGATTI\n11- MARINA PEINADO BERBERIAN\n12- MICHAEL MENDES\n13- RAFAEL DONIZETI SOUZA DE TOLEDO\n14- RAFAEL PADILLA\n15- RAFAEL SCHULIEN\n16- RENATA QUISSAK BARTELEGA PEIXOTO\n17- SILVIA RIBEIRO BROTTO\n18- THAIS NAGOSHI SUZUKI", "predicted": "AUTORES\n\n01- ANA LUIZA BAPTISTA\n02- ANA MARA ALVES DE FREITAS\n03- AMANDA MACHADO AGUIAR\n04- ANDREA NICOLAU PASCHOAL\n05- CARLOS EDUARDO PEREIRA DE MELLO\n06- CRISTIANE HONDA\n07- DANIEL DELAZERI DE FARIA\n08- DIEGO VIEIRA DE SOUZA\n09- ILAN AKISABURO KIMURA\n10- MARIANA BOTELHO MENEGATTI\n11- MARINA PEINADO BERBERIAN\n12- MICHAEL MENDES\n13- RAFAEL DONIZETI SOUZA DE TOLEDO\n14- RAFAEL PADILLA\n15- RAFAEL SCHULIEN\n16- RENATA QUISSAK BARTELEGA PEIXOTO\n17- SILVIA RIBEIRO BROTTO\n18- THAIS NAGOSHI SUZUKI", "correct": true, "input_tokens": 1176, "output_tokens": 910, "elapsed_seconds": 16.605673542013392, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 1.0, "attempts": 1, "retries": 0, "total_seconds": 16.6997}} diff --git a/results/ocr_gemini-4-argon-eap_high_20261012_225132.jsonl b/results/ocr_gemini-4-argon-eap_high_20261012_225132.jsonl deleted file mode 100644 index d5627a5..0000000 --- a/results/ocr_gemini-4-argon-eap_high_20261012_225132.jsonl +++ /dev/null @@ -1,37 +0,0 @@ -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 0, "image": "4f770728-7b1f-4bf3-b877-e3d33fcc135d_png.rf.dffcaaeb26fd7fe4fd14891cb00a0adf.jpg", "expected": "100 Good Cookies\n1 cup white sugar 1 teaspoon baking soda\n1 cup brown sugar 1 cup quick oatmeal\n1 cup margarine 1 cup coconut\n1 cup cooking oil 1 cup Rice Krispies\n1 egg 1 cup chopped walnuts\n1 teaspoon vanilla 3\u00bd cups flour\n1 teaspoon cream of tartar 1-12oz. package mini\nchocolate chips\nMix in order given. Drop by teaspoonful onto cookie sheet. Bake at 350\u00b0 for 8-10 minutes.\n(over)", "predicted": "100 Good Cookies\n1 cup white sugar 1 teaspoon baking soda\n1 cup brown sugar 1 cup quick oatmeal\n1 cup margarine 1 cup coconut\n1 cup cooking oil 1 cup Rice Krispies\n1 egg 1 cup chopped walnuts\n1 teaspoon vanilla 3\u00bd cups flour\n1 teaspoon cream of tartar 1-12oz. package mini\n Chocolate chips\nMix in order given. Drop by teaspoonful onto\ncookie sheet. Bake at 350\u00b0 for 8-10 minutes.\n (over)", "correct": true, "input_tokens": 1163, "output_tokens": 954, "elapsed_seconds": 30.736053416971117, "metadata": {"question": "Transcribe all handwritten and printed text exactly as written, reading top to bottom and left to right, and omit nothing; mark only genuinely unreadable words as [illegible]. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9897, "attempts": 1, "retries": 0, "total_seconds": 30.7648}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 1, "image": "0de03edc-15c5-4782-a74b-7cedb1df477b_png.rf.357da74f0ffbbb05467a6069097f2740.jpg", "expected": "(1) 8 + 7 = 15 (9) 17 - 9 = 8\n(2) 15 - 6 = 9 (10) 7 + 9 = 16\n(3) 9 + 4 = 13 (11) 14 - 8 = 6\n(4) 13 - 5 = 8 (12) 5 + 6 = 11\n(5) 6 + 8 = 14 (13) 16 - 7 = 9\n(6) 5 + 9 = 14 (14) 3 + 7 = 10", "predicted": "(1) 8 + 7 = 15 (9) 17 - 9 = 8\n(2) 15 - 6 = 9 (10) 7 + 9 = 16\n(3) 9 + 4 = 13 (11) 14 - 8 = 6\n(4) 13 - 5 = 8 (12) 5 + 6 = 11\n(5) 6 + 8 = 14 (13) 16 - 7 = 9\n(6) 5 + 9 = 14 (14) 3 + 7 = 10", "correct": true, "input_tokens": 1178, "output_tokens": 1000, "elapsed_seconds": 21.834567583049648, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 1.0, "attempts": 1, "retries": 0, "total_seconds": 21.8492}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 2, "image": "861cb64d-800a-4635-999c-739199f8b473_png.rf.2dfcae9315498e5af9851962b9b1b65d.jpg", "expected": "2516 Country Club Rd.\nWinston Salem NC 27104\nJuly 17, 1981\n\nDr T S Osdene\nDirector of Research and Scientific Affairs\nPHILIP MORRIS USA\nResearch Center\nP.O Box 26583\nRichmond VA 23261\n\nDear Tom \u2014\n\nRe MDA NO/NOx Field Kit\n\nMDA requires prepayment before shipment\nof materials to private individuals. Accordingly\nI mailed check for $2505.00 for Kit yesterday.\nCopies for verification are enclosed. I presume\nthis will suffice to reimburse me.\n\nAs soon as MDA receives check, presumably\nJuly 20, Kit will be shipped to me by UPS and\nI will immediately trans ship by UPS to\nyou.\n\nCongrats on the birth of your son. Best wishes\nto Mrs Osdene and you.\n\n\u03a6000018736\n\nSincerely\nMurray", "predicted": "2516 Country Club Rd.\n Winston Salem NC 27104\n July 17, 1981\n\nDr T S Osdene\nDirector of Research and Scientific Affairs\nPHILIP MORRIS USA\nResearch Center\nP.O Box 26583\nRichmond VA 23261\n\nDear Tom -\n Re MDA NO/NOx Field Kit\n\n MDA requires prepayment before shipment\nof materials to private individuals. Accordingly\nI mailed check for $ 2505 00 for kit yesterday.\nCopies for verification are enclosed. I presume\nthis will suffice to reimburse me.\n As soon as MDA receives check, presumably\nJuly 20, kit will be shipped to me by UPS and\nI will immediately trans ship by UPS to\nyou.\n Congrats on the birth of your son. Best wishes\nto Mrs Osdene and you. 1000018736\n\n Sincerely\n Murray", "correct": true, "input_tokens": 1161, "output_tokens": 1479, "elapsed_seconds": 30.060381083982065, "metadata": {"question": "Transcribe all handwritten and printed text exactly as written, reading top to bottom and left to right, and omit nothing; mark only genuinely unreadable words as [illegible]. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9765, "attempts": 1, "retries": 0, "total_seconds": 30.0774}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 3, "image": "bfe2208e-9dcb-4273-9781-be20d0ae766a_png.rf.2506b1cf22374cc1de2823bf766ef968.jpg", "expected": "Ent 103326 Bk 331 Pg 470\nDate: 20-JUN-2006 2:28PM\nORDINANCE NO. CO-06-5 Fee: None\nFiled By: AKT\nBRENDA NELSON, Recorder\nMORGAN COUNTY\nAN ORDINANCE ADOPTING THE STATE WILDLIFE RESOURCES CODE\nFOR MORGAN COUNTY.\n\nWHEREAS, the Morgan County Sheriff's Office is charged with the enforcement of\nregulations and laws relating to wildlife resources within Morgan County; and\n\nWHEREAS, in the course of the Sheriff's enforcement duties it is often necessary to cite\nindividuals for violations of the various state rules regulating wildlife resources; and\n\nWHEREAS, Morgan County would like to cite violators for county ordinance violations\nrather than state code violations since violators are processed by county enforcement officers,\nprosecuted in county courts by county prosecutors, and incarcerated, if necessary, in county jails;\n\nNOW THEREFOR, the County Council of Morgan County, State of Utah, hereby\nordains as follows:\n\nWILDLIFE RESOURCES ORDINANCE\n\nSection 1. Adoption of the Utah wildlife resources Code, Rules and Regulations\n\nThe Rules and Regulations contained in Utah Code Annotated Title 23, as amended, and the\nRules promulgated thereunder, are hereby adopted as the wildlife resources Code, Rules and\nRegulations of Morgan County. Any provisions of Title 23 providing a penalty greater than a\nClass B misdemeanor, or not relating to criminal or administrative sanctions, are not incorporated\nas part of this ordinance.\n\nSection 2. Amendments\n\nIn order to assure continuing uniformity between the Utah wildlife resources Rules and\nRegulations and the Morgan County wildlife resources Rules and Regulations, this Ordinance\nwill include any and all periodic amendments to the State Rules and Regulations, Title 23, after\nthe effective date of this title, made by the Utah State Legislature or by the Utah Department of\nNatural Resources.\n\nSection 3. Effective Date\n\nThis ordinance shall take effect 15 days after passage, after required publication and after a copy\nof the ordinance is deposited with the Morgan County Clerk's Office.\n\nAPPROVED, ADOPTED, AND PASSED and ordered published by the Morgan County\nCouncil, this 6th day of June, 2006.", "predicted": "Ent 103326 Bk 231 Pg 470\nDate: 20-JUN-2006 2:28PM\nORDINANCE NO. CO-06 Fee: None\nFiled By: AKT\nBRENDA NELSON, Recorder\nAN ORDINANCE ADOPTING THE STATE WILDLIFE RESOURCES CODE MORGAN COUNTY\nFOR MORGAN COUNTY. For: MORGAN COUNTY\n\n WHEREAS, the Morgan County Sheriff's Office is charged with the enforcement of\nregulations and laws relating to wildlife resources within Morgan County; and\n\n WHEREAS, in the course of the Sheriff's enforcement duties it is often necessary to cite\nindividuals for violations of the various state rules regulating wildlife resources; and\n\n WHEREAS, Morgan County would like to cite violators for county ordinance violations\nrather than state code violations since violators are processed by county enforcement officers,\nprosecuted in county courts by county prosecutors, and incarcerated, if necessary, in county jails;\n\n NOW THEREFOR, the County Council of Morgan County, State of Utah, hereby\nordains as follows:\n\n\nWILDLIFE RESOURCES ORDINANCE\n\nSection 1. Adoption of the Utah wildlife resources Code, Rules and Regulations\n\nThe Rules and Regulations contained in Utah Code Annotated Title 23, as amended, and the\nRules promulgated thereunder, are hereby adopted as the wildlife resources Code, Rules and\nRegulations of Morgan County. Any provisions of Title 23 providing a penalty greater than a\nClass B misdemeanor, or not relating to criminal or administrative sanctions, are not incorporated\nas part of this ordinance.\n\nSection 2. Amendments\n\nIn order to assure continuing uniformity between the Utah wildlife resources Rules and\nRegulations and the Morgan County wildlife resources Rules and Regulations, this Ordinance\nwill include any and all periodic amendments to the State Rules and Regulations, Title 23, after\nthe effective date of this title, made by the Utah State Legislature or by the Utah Department of\nNatural Resources.\n\nSection 3. Effective Date\n\nThis ordinance shall take effect 15 days after passage, after required publication and after a copy\nof the ordinance is deposited with the Morgan County Clerk's Office.\n\n\n APPROVED, ADOPTED, AND PASSED and ordered published by the Morgan County\nCouncil, this 6th day of June , 2006.", "correct": true, "input_tokens": 1168, "output_tokens": 5507, "elapsed_seconds": 64.50029150000773, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9734, "attempts": 2, "retries": 1, "total_seconds": 129.8111, "transient_errors": ["RemoteProtocolError"]}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 4, "image": "d6b410b8-2381-4e65-8113-2dbcca295990_png.rf.794671b291d105d363ebd6d8d93b3fc8.jpg", "expected": "THIS SENTENCE WAS WRITTEN BY SOMEONE WITH DYSGRAPHIA", "predicted": "THIS SENTENCE WAS WRITTEN BY SOM\n EONE WITH Dysgraphia", "correct": false, "input_tokens": 1181, "output_tokens": 976, "elapsed_seconds": 15.076311874901876, "metadata": {"question": "Transcribe all handwritten and printed text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.7963, "attempts": 1, "retries": 0, "total_seconds": 15.0897}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 5, "image": "9c225ac4-3b44-42cf-a0dc-4a3984c5bac9_png.rf.1455a695dcdb15839a0deb51bf270c04.jpg", "expected": "When I built menugen ~1 year ago, I observed that the hardest part by far was not the code itself, it was the plethora of services you have to assemble like IKEA furniture to make it real, the DevOps: services, payments, auth, database, security, domain names, etc...\n\nI am really looking forward to a day where I could simply tell my agent: \"build menugen\" (referencing the post) and it would just work. The whole thing up to the deployed web page. The agent would have to browse a number of services, read the docs, get all the api keys, make everything work, debug it in dev, and deploy to prod. This is the actually hard part, not the code itself. Or rather, the better way to think about it is that the entire DevOps lifecycle has to become code, in addition to the necessary sensors/actuators of the CLIs/APIs with agent-native ergonomics. And there should be no need to visit web pages, click buttons, or anything like that for the human.\n\nIt's easy to state, it's now just barely technically possible and expected to work maybe, but it definitely requires from-scratch re-design, work and thought. Very exciting direction!", "predicted": "Andrej Karpathy\n@karpathy\n\nWhen I built menugen ~1 year ago, I observed that the hardest part by far\nwas not the code itself, it was the plethora of services you have to\nassemble like IKEA furniture to make it real, the DevOps: services,\npayments, auth, database, security, domain names, etc...\n\nI am really looking forward to a day where I could simply tell my agent:\n\"build menugen\" (referencing the post) and it would just work. The whole\nthing up to the deployed web page. The agent would have to browse a\nnumber of services, read the docs, get all the api keys, make everything\nwork, debug it in dev, and deploy to prod. This is the actually hard part,\nnot the code itself. Or rather, the better way to think about it is that the\nentire DevOps lifecycle has to become code, in addition to the necessary\nsensors/actuators of the CLIs/APIs with agent-native ergonomics. And\nthere should be no need to visit web pages, click buttons, or anything\nlike that for the human.\n\nIt's easy to state, it's now just barely technically possible and expected\nto work maybe, but it definitely requires from-scratch re-design, work\nand thought. Very exciting direction!", "correct": true, "input_tokens": 1173, "output_tokens": 2384, "elapsed_seconds": 37.75480237498414, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom, keeping each author's handle with their message, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the top-level tweet authored by Andrej Karpathy (@karpathy).", "match_method": "similarity", "score": 0.9646, "attempts": 1, "retries": 0, "total_seconds": 37.7733}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 6, "image": "9fdae0ac-7d89-45f1-b628-bcdbac72c185_png.rf.7b62d1c22ac071a0003f46d2feaae5e5.jpg", "expected": "```javascript\nconst BROWSER_APP_NAMES = new Set([\n \"google chrome\",\n \"google chrome canary\",\n \"chromium\",\n \"microsoft edge\",\n \"mozilla firefox\",\n \"firefox\",\n \"opera\",\n \"brave browser\",\n \"vivaldi\",\n \"arc\",\n]);\n```", "predicted": "```javascript\nconst BROWSER_APP_NAMES = new Set([\n \"google chrome\",\n \"google chrome canary\",\n \"chromium\",\n \"microsoft edge\",\n \"mozilla firefox\",\n \"firefox\",\n \"opera\",\n \"brave browser\",\n \"vivaldi\",\n \"arc\",\n]);\n```", "correct": false, "input_tokens": 1219, "output_tokens": 790, "elapsed_seconds": 10.402971541043371, "metadata": {"question": "Transcribe every piece of text in this screenshot exactly as written, in reading order, and omit nothing. Put source code inside fenced code blocks, preserving indentation, quotes, and casing exactly, and transcribe surrounding interface text as Markdown. Transcribe only the definition of the `BROWSER_APP_NAMES` constant shown in the code editor, and ignore all other code, the editor chrome, file tabs, sidebars, and the terminal.", "match_method": "similarity", "score": 0.9107, "attempts": 1, "retries": 0, "total_seconds": 10.428}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 7, "image": "5cf55f37-8adb-4adb-9520-148340548028_png.rf.d09a7340877434f1cbdb25f1eccd4774.jpg", "expected": "TOM GREEN HANDYMAN\n5 Any Street, Any City, That Area Code\nTelephone: 0800 XXX XXX\n\nDate : 6/5/2016\nInvoice No : 0003521\nTax Registered No 123456\n\nMr and Mrs Fielding\nThis Address\nThis City\nThis Area Code\n\nTAX INVOICE\n\n
QuantityDescriptionUnit PriceCost
Upgrade to Bathroom
23.75Labour40.00950.00
50Nails and screws0.8040.00
1Paint and Plywood1000.001000.00
40Imported wall tiles14.00560.00
1Freight150.00150.00
1Sub-contractor : Tile-It228.00
Subtotal2928.00
Tax439.20
Total Due$3,367.20
\n\nPayment due by the 10th of the month following the date of invoice.\nPlease make payment into Bank Account No. 12 3456 789112 012\n\nInterest of 10% per year will be charged on late payments.\n\nCut here\n\nRemittance\n\nMr and Mrs Fielding\n\nTOM GREEN HANDYMAN\n5 Any Street\nAny City\nThat Area Code\n\nAmount Due $3,367.20\nAmount Paid ______", "predicted": "TOM GREEN HANDYMAN\n5 Any Street, Any City, That Area Code\nTelephone: 0800 XXX XXX\n\nDate : 6/5/2016 Invoice No : 0003521\n\nTax Registered No 123456\nMr and Mrs Fielding\nThis Address\nThis City\nThis Area Code\n\nT A X I N V O I C E\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
QuantityDescriptionUnit PriceCost
Upgrade to Bathroom
23.75Labour40.00950.00
50Nails and screws0.8040.00
1Paint and Plywood1000.001000.00
40Imported wall tiles14.00560.00
1Freight150.00150.00
1Sub-contractor : Tile-It228.00
Subtotal2928.00
Tax439.20
Total Due$3,367.20
\n\nPayment due by the 10th of the month following the date of invoice.\nPlease make payment into Bank Account No. 12 3456 789112 012\n\nInterest of 10% per year will be charged on late payments.\n\nCut here\nRemittance\nMr and Mrs Fielding\nTOM GREEN HANDYMAN\n5 Any Street Amount Due $3,367.20\nAny City\nThat Area Code Amount Paid", "correct": false, "input_tokens": 1194, "output_tokens": 3525, "elapsed_seconds": 37.7149542090483, "metadata": {"question": "Transcribe all text in this document exactly and completely, in reading order, preserving casing, punctuation, currency symbols, and codes. Use an HTML table only for genuinely tabular content, mirroring its rows, columns, and merged cells; write the HTML on single lines with no indentation or blank lines between tags, and collapse horizontal alignment to a single space.", "match_method": "similarity", "score": 0.9191, "attempts": 1, "retries": 0, "total_seconds": 37.7305}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 8, "image": "1bce4a54-e6bc-4752-b48e-d9889895936a_png.rf.6f12b4139eeac41161f2fb59dad48237.jpg", "expected": "I run hermes handling whatsapp, email, cron jobs, building apps, outreaching customers, outbound and inbound calls \u2014 the whole thing. hasn't needed babysitting in weeks. if you're on the fence just try it. worst case you go back. but I don't think you will", "predicted": "Falcon @Falconve_ \u00b7 6\u5c0f\u65f6\nI run hermes handling whatsapp, email, cron jobs, building apps,\noutreaching customers, outbound and inbound calls \u2014 the whole thing.\nhasn't needed babysitting in weeks. if you're on the fence just try it. worst\ncase you go back. but I don't think you will", "correct": false, "input_tokens": 1159, "output_tokens": 1011, "elapsed_seconds": 35.23392529191915, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom, keeping each author's handle with their message, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the last (bottom-most) tweet in the thread by Falcon (@Falconve_).", "match_method": "similarity", "score": 0.9036, "attempts": 1, "retries": 0, "total_seconds": 35.2689}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 9, "image": "eb592312-33c0-41ff-91ec-6e87ad25f12e_png.rf.ad80ac2d57c33733bd20600e13e312f3.jpg", "expected": "(SAE09TR.72) A 13-year-old girl sustained an isolated midshaft left femoral fracture in a motor vehicle accident. The fracture was treated with a rigid, antegrade intramedullary nail placed through the piriformis fossa. The fracture healed uneventfully, as shown in Figure 46a; however, at 12 months postoperatively she now reports left hip pain. A current AP radiograph and MRI scan are shown in Figures 46b and 46c. What complication occurred in this patient? Review Topic\n\n1 Chondrolysis\n2 Ischemic necrosis of the femoral head\n3 Ischemic necrosis of the greater trochanter\n4 Femoral neck fracture\n5 Trochanteric overgrowth\n\nPREFERRED RESPONSE 2\n\nThe development of femoral head ischemic necrosis is the iatrogenically created complication in this skeletally immature patient. Placement of a rigid, antegrade intramedullary nail through the piriformis fossa is likely to damage the vascular supply to the femoral head as the vessels ascend the femoral neck on the way to the femoral head. The MRI scan reveals ischemic necrosis with early collapse of the femoral head. The joint space is preserved on the MRI scan, ruling out chondrolysis.\n\n(SAE08OS.196) An adult patient has had low-grade fevers, malaise, and joint pain for the past several days. Examination reveals an erythematous \"bulls eye\" rash over the right thigh (erythema migrans). What is the organism associated with this infection? Review Topic", "predicted": "(SAE09TR.72) A 13-year-old girl sustained an isolated midshaft left femoral fracture in a motor vehicle accident. The fracture was treated with a rigid, antegrade intramedullary nail placed through the piriformis fossa. The fracture healed uneventfully, as shown in Figure 46a; however, at 12 months postoperatively she now reports left hip pain. A current AP radiograph and MRI scan are shown in Figures 46b and 46c. What complication occurred in this patient? Review Topic\n\n*1* Chondrolysis \n*2* Ischemic necrosis of the femoral head \n*3* Ischemic necrosis of the greater trochanter \n*4* Femoral neck fracture \n*5* Trochanteric overgrowth \n\nPREFERRED RESPONSE 2\n\nThe development of femoral head ischemic necrosis is the iatrogenically created complication in this skeletally immature patient. Placement of a rigid, antegrade intramedullary nail through the piriformis fossa is likely to damage the vascular supply to the femoral head as the vessels ascend the femoral neck on the way to the femoral head. The MRI scan reveals ischemic necrosis with early collapse of the femoral head. The joint space is preserved on the MRI scan, ruling out chondrolysis.\n\n
\n\n(SAE08OS.196) An adult patient has had low-grade fevers, malaise, and joint pain for the past several days. Examination reveals an erythematous \"bulls eye\" rash over the right thigh (erythema migrans). What is the organism associated with this infection? Review Topic", "correct": true, "input_tokens": 1169, "output_tokens": 1270, "elapsed_seconds": 17.326520291971974, "metadata": {"question": "Transcribe every piece of text in this image exactly as written, in reading order, preserving question and option numbering, and omit nothing. Write mathematical expressions in LaTeX and format the result as Markdown that mirrors the layout.", "match_method": "similarity", "score": 0.9888, "attempts": 1, "retries": 0, "total_seconds": 17.3633}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 10, "image": "c50bed4d-e825-46b7-ac5c-a84806fa0481_png.rf.dbad52cae24c6759d646ebb0ad6c30a3.jpg", "expected": "```python\nimport random\n\ndef roll_dice(n=2, sides=6):\n return [random.randint(1, sides) for _ in range(n)]\n\ndef magic_8ball():\n responses = [\n \"Yes\", \"No\", \"Maybe\", \"Ask again later\",\n \"Absolutely\", \"No way\", \"Signs point to yes\",\n \"Don't count on it\", \"Without a doubt\",\n ]\n return random.choice(responses)\n\nif __name__ == \"__main__\":\n print(f\"Rolling 2 dice: {roll_dice()}\")\n print(f\"Magic 8-Ball says: {magic_8ball()}\")\n print(f\"Your lucky number: {random.randint(1, 100)}\")\n```", "predicted": "```python\nimport random\n\ndef roll_dice(n=2, sides=6):\n return [random.randint(1, sides) for _ in range(n)]\n\ndef magic_8ball():\n responses = [\n \"Yes\", \"No\", \"Maybe\", \"Ask again later\",\n \"Absolutely\", \"No way\", \"Signs point to yes\",\n \"Don't count on it\", \"Without a doubt\",\n ]\n return random.choice(responses)\n\nif __name__ == \"__main__\":\n print(f\"Rolling 2 dice: {roll_dice()}\")\n print(f\"Magic 8-Ball says: {magic_8ball()}\")\n print(f\"Your lucky number: {random.randint(1, 100)}\")\n```", "correct": true, "input_tokens": 1171, "output_tokens": 884, "elapsed_seconds": 16.494163917028345, "metadata": {"question": "Transcribe every piece of text in this screenshot exactly as written, in reading order, and omit nothing. Put source code inside fenced code blocks, preserving indentation, quotes, and casing exactly, and transcribe surrounding interface text as Markdown. Transcribe only the code shown in the editor pane, ignoring the editor chrome, file tabs, sidebars, and the line-number gutter.", "match_method": "similarity", "score": 1.0, "attempts": 1, "retries": 0, "total_seconds": 16.6136}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 11, "image": "d0980bab-2f15-4550-b3e6-813a2ad7e709_png.rf.4002baedf14c91e52686c70ec58fd7f0.jpg", "expected": "Example 3 (HW)\nEach of the numbers 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 is written\non a separate piece of paper. The 10 pieces of paper\nare then placed in a hat. If one piece of paper is\nselected at random from hat, estimate the probability\nthat:\n(i) the number written on piece of paper is an even\nnumber or greater than 6.\n(ii) the number written on piece of paper is less than 5\nor greater than 8.\n(iii) the number written on piece of paper is divisible by 4.\n(iv) the \" \" \" \" \" \" \" at least 7.\n(v) \" \" \" \" \" \" \" at most 3.", "predicted": "Example 3 (HW)\nEach of the numbers 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 is written\non a separate piece of paper. The 10 pieces of paper\nare then placed in a hat. If one piece of paper is\nselected at random from hat, estimate the probability\n that:\n(i) the number written on piece of paper is an even\n number or greater than 6.\n(ii) the number written on piece of paper is less than 5\n or greater than 8.\n(iii) the number written on piece of paper is divisible by 4.\n(iv) the \" \" \" \" \" \" \" at least 7.\n(v) \" \" \" \" \" \" \" \" at most 3.\nCS Scanned with CamScanner", "correct": false, "input_tokens": 1180, "output_tokens": 1232, "elapsed_seconds": 18.97718154208269, "metadata": {"question": "Transcribe all handwritten and printed text exactly as written, reading top to bottom and left to right, and omit nothing; mark only genuinely unreadable words as [illegible]. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9419, "attempts": 1, "retries": 0, "total_seconds": 19.0394}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 12, "image": "00099ca8-7388-4ccb-a9ae-0def0f38e1d4_png.rf.87454ebaa2a188c18aadac0664ef70f6.jpg", "expected": "I'm losing so much money every single second I dont spend in the states. Every day I wake up, I'm hyperventilating about the fact that I am irresponsibly putting my young family's future at great risk because I can't but help listen to my gut. I am filled with doubt every day", "predicted": "kache @yacineMTB \u00b7 9\u5c0f\u65f6\nI'm losing so much money every single second I dont spend in the states.\nEvery day I wake up, I'm hyperventilating about the fact that I am\nirresponsibly putting my young family's future at great risk because I can't\nbut help listen to my gut. I am filled with doubt every day\nstainlesssteelcockroach @stainle55446702 \u00b7 10\u5c0f\u65f6\n\u56de\u590d @yacineMTB\nYou would like it down south as well. Where engineers are honored as\nthe future.....\n40 1 248 2.5\u4e07", "correct": false, "input_tokens": 1188, "output_tokens": 2261, "elapsed_seconds": 33.72368445794564, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom, keeping each author's handle with their message, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the first tweet by kache (@yacineMTB).", "match_method": "similarity", "score": 0.5935, "attempts": 2, "retries": 1, "total_seconds": 100.3813, "transient_errors": ["RemoteProtocolError"]}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 13, "image": "838b00ad-2a6d-4bc7-84a3-d3cb3e6fdfb8_png.rf.86b85c55a59bba487946e192adc78406.jpg", "expected": "The French Revolution began in 1789 in France and was caused by several political, social, and economic factors. One major cause was the inequality in the social structure known as the Estates System, where the clergy and nobility enjoyed privileges while the common people had to pay heavy taxes. Another cause was the financial crisis faced by the monarchy due to wars and extravagant spending by Louis XVI and the royal court.\n\nThe influence of Enlightenment thinkers also played a significant role. Philosophers like Jean-Jacques Rousseau and Voltaire promoted ideas of liberty, equality, and popular sovereignty. These ideas encouraged people to question the authority of the monarchy.\n\nThe revolution had major effects on French society and politics. The monarchy was abolished, and France eventually became a republic. The revolution led to the Reign of Terror, during which many people were executed. In the long term, the revolution spread the ideals of liberty, equality, and fraternity across Europe and influenced many future democratic movements.", "predicted": "The French Revolution began in 1789 in France and was caused by several political, social, and economic factors. One major cause was the\ninequality in the social structure known as the Estates System, where the clergy and nobility enjoyed privileges while the common people had\nto pay heavy taxes. Another cause was the financial crisis faced by the monarchy due to wars and extravagant spending by Louis XVI and the\nroyal court.\n\nThe influence of Enlightenment thinkers also played a significant role. Philosophers like Jean-Jacques Rousseau and Voltaire promoted ideas\nof liberty, equality, and popular sovereignty. These ideas encouraged people to question the authority of the monarchy.\n\nThe revolution had major effects on French society and politics. The monarchy was abolished, and France eventually became a republic. The\nrevolution led to the Reign of Terror, during which many people were executed. In the long term, the revolution spread the ideals of\nliberty, equality, and fraternity across Europe and influenced many future democratic movements.", "correct": true, "input_tokens": 1140, "output_tokens": 778, "elapsed_seconds": 11.351721209008247, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9943, "attempts": 1, "retries": 0, "total_seconds": 11.3641}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 14, "image": "efe6537c-b164-43c1-8a9b-a329c7b96ec1_png.rf.96d23b9a67c8c503dd57cc8ddb11363b.jpg", "expected": "Clinical Nurse Manager Sep 2012 \u2013 Jul 2014\nBarron Center \u2013 Portland, ME\nManaged nursing operations on a 26-bed skilled rehabilitation unit, ensuring effective clinical care delivery.\n\u2022 Supervised nursing staff performance and provided ongoing competency evaluations.\n\u2022 Developed individualized care plans in collaboration with physicians and rehabilitation teams.\n\u2022 Implemented policies and procedures to meet regulatory and accreditation requirements.\n\nRegistered Nurse, Medical-Surgical Unit (Float Pool) Jun 2012 \u2013 Sep 2012\nMercy Hospital \u2013 Portland, ME\nProvided direct patient care within medical-surgical units, ensuring safe and effective treatment delivery.\n\u2022 Performed comprehensive physical assessments and monitored patient progress.\n\u2022 Administered medications and documented interventions per hospital protocols.\n\u2022 Collaborated with multidisciplinary teams to coordinate and plan care.\n\nEDUCATION, CERTIFICATIONS & LICENSURE\n\nBachelor of Science in Nursing (BSN)\nWestern Governors University, Salt Lake City, UT | Graduated January 2019\n\nAssociate of Science in Nursing (ASN)\nCollege of Nursing and Health Professions, Lewiston, ME | Graduated May 2010\n\nCertifications & Licensure\n\u2022 Registered Nurse (RN License #R057634) \u2013 State of Maine\n\u2022 Basic Life Support (BLS) \u2013 Current through December 2027\n\u2022 Educated in: Accountable Care Organizations (ACOs), Patient-Driven Payment Model (PDPM)\n\u2022 Clinical Systems Proficiency: Cerner / PowerChart, EPIC, Quantum, PointClickCare\n\u2022 Utilization Review Tools: InterQual, NaviHealth, CarePort\n\u2022 Analytics & Administrative Systems: Salesforce, Tableau, Microsoft Excel & PowerPoint, ADP, SAP Concur\n\nSKILLS & ADDITIONAL INFORMATION\n\nTechnical Skills\n\u2022 Clinical Systems & EMRs: Cerner / PowerChart, EPIC, Quantum, PointClickCare\n\u2022 Utilization Management Tools: InterQual, NaviHealth, CarePort\n\u2022 Data & Analytics Platforms: Tableau, Salesforce\n\u2022 Productivity Software: Microsoft Office Suite (Excel, PowerPoint, Word, Outlook)\n\u2022 Administrative Systems: ADP, SAP Concur\n\u2022 Quality & Compliance Tools: Electronic Health Record Audit Systems, Core Measure Review PlatformDedicated and results-\ndriven Recruiter/Talent Acquisition Specialist.\n\nPersonal Strengths\n\u2022 Strong leadership and team mentorship abilities\n\u2022 Critical thinking and complex problem-solving\n\u2022 Effective interdisciplinary communication and collaboration\n\u2022 Process improvement and workflow optimization\n\u2022 Independent and solution-focused decision-making\n\u2022 High attention to detail and documentation accuracy\n\u2022 Adaptable to evolving healthcare technologies and remote environments\n\u2022 Empathetic approach to patient advocacy and care coordination\n\nReferences are available upon request", "predicted": "Clinical Nurse Manager Sep 2012 \u2013 Jul 2014\nBarron Center \u2013 Portland, ME\nManaged nursing operations on a 26-bed skilled rehabilitation unit, ensuring effective clinical care delivery.\n \u2022 Supervised nursing staff performance and provided ongoing competency evaluations.\n \u2022 Developed individualized care plans in collaboration with physicians and rehabilitation teams.\n \u2022 Implemented policies and procedures to meet regulatory and accreditation requirements.\n\nRegistered Nurse, Medical-Surgical Unit (Float Pool) Jun 2012 \u2013 Sep 2012\nMercy Hospital \u2013 Portland, ME\nProvided direct patient care within medical-surgical units, ensuring safe and effective treatment delivery.\n \u2022 Performed comprehensive physical assessments and monitored patient progress.\n \u2022 Administered medications and documented interventions per hospital protocols.\n \u2022 Collaborated with multidisciplinary teams to coordinate and plan care.\n\nEDUCATION, CERTIFICATIONS & LICENSURE\n\nBachelor of Science in Nursing (BSN)\nWestern Governors University, Salt Lake City, UT | Graduated January 2019\n\nAssociate of Science in Nursing (ASN)\nCollege of Nursing and Health Professions, Lewiston, ME | Graduated May 2010\n\nCertifications & Licensure\n \u2022 Registered Nurse (RN License #R057634) \u2013 State of Maine\n \u2022 Basic Life Support (BLS) \u2013 Current through December 2027\n \u2022 Educated in: Accountable Care Organizations (ACOs), Patient-Driven Payment Model (PDPM)\n \u2022 Clinical Systems Proficiency: Cerner / PowerChart, EPIC, Quantum, PointClickCare\n \u2022 Utilization Review Tools: InterQual, NaviHealth, CarePort\n \u2022 Analytics & Administrative Systems: Salesforce, Tableau, Microsoft Excel & PowerPoint, ADP, SAP Concur\n\nSKILLS & ADDITIONAL INFORMATION\n\nTechnical Skills\n \u2022 Clinical Systems & EMRs: Cerner / PowerChart, EPIC, Quantum, PointClickCare\n \u2022 Utilization Management Tools: InterQual, NaviHealth, CarePort\n \u2022 Data & Analytics Platforms: Tableau, Salesforce\n \u2022 Productivity Software: Microsoft Office Suite (Excel, PowerPoint, Word, Outlook)\n \u2022 Administrative Systems: ADP, SAP Concur\n \u2022 Quality & Compliance Tools: Electronic Health Record Audit Systems, Core Measure Review PlatformDedicated and results-\n driven Recruiter/Talent Acquisition Specialist.\n\nPersonal Strengths\n \u2022 Strong leadership and team mentorship abilities\n \u2022 Critical thinking and complex problem-solving\n \u2022 Effective interdisciplinary communication and collaboration\n \u2022 Process improvement and workflow optimization\n \u2022 Independent and solution-focused decision-making\n \u2022 High attention to detail and documentation accuracy\n \u2022 Adaptable to evolving healthcare technologies and remote environments\n \u2022 Empathetic approach to patient advocacy and care coordination\n\n References are available upon request", "correct": true, "input_tokens": 1178, "output_tokens": 3026, "elapsed_seconds": 31.230415750062093, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9897, "attempts": 1, "retries": 0, "total_seconds": 31.2466}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 15, "image": "e21e8de4-67cb-4b99-acaf-7c73dc28df9f_png.rf.c9c271f7c9fe67f7186ee45aebf42a40.jpg", "expected": "ACS PLUS\n\nADVERTISING COMMUNICATION SERVICES\n\nBloc 17 App 233 1003 Cit\u00e9 les Olympiades\n\nTEL 71 771 324 FAX 71 770 682\n\nCode TVA1243006M/A/M/000\n\nEmail: acs.info@topnet.tn\n\nDEVIS N\u00b0 89-24\n\nClient: IEEE\n\nCode TVA:\n\nAdresse:\n\nT\u00e9l: Fax:\n\nTunis le 12/04/24\n\nCCB : 03210119011500465159A BNA KHERREDINE PACHA\n\n
R\u00e9f\u00e9renceD\u00e9signationQuantit\u00e9P. U.T.V.A.P.H.T.
Rollup 2 x 0,851170.00019%170.000
Pins1201.40019%168.000
Affiche A4 120 g impression R/V301.00019%30.000
Total H.T.368.000
Remise
Total HT368.000
\n\n
Total T.V.A. 10%
Total T.V.A. 7%
Total T.V.A. 19%69.920
Total T.V.A. 29%
Timbre Fiscal1.000
Total T.T.C.438.920
\n\n,\n\nArr\u00eat\u00e9 le pr\u00e9sent devis \u00e0 la somme de:\n\nDIRECTION COMMERCIALE", "predicted": "ACS PLUS\nADVERTISING COMMUNICATION SERVICES\nBloc 17 App 233 1003 Cit\u00e9 les Olympiades\nTEL 71 771 324 FAX 71 770 682\nCode TVA1243006M/A/M/000\nEmail: acs.info@topnet.tn\n\nDEVIS N\u00b0 89-24\nClient: IEEE\nCode TVA:\nAdresse:\nT\u00e9l: Fax:\n\nTunis le 12/04/24\nCCB : 03210119011500465159A BNA KHERREDINE PACHA\n\n
R\u00e9f\u00e9renceD\u00e9signationQuantit\u00e9P. U.T.V.A.P.H.T.
Rollup 2 x 0,851170.00019%170.000
Pins1201.40019%168.000
Affiche A4 120 g impression R/V301.00019%30.000
Total H.T.368.000
Remise
Total HT368.000
Total T.V.A. 10%
Total T.V.A. 7%
Total T.V.A. 19%69.920
Total T.V.A. 29%
Timbre Fiscal1.000
Total T.T.C.438.920
\n\nArr\u00eat\u00e9 le pr\u00e9sent devis \u00e0 la somme de:\n\nDIRECTION COMMERCIALE", "correct": false, "input_tokens": 1194, "output_tokens": 2799, "elapsed_seconds": 28.56429912499152, "metadata": {"question": "Transcribe all text in this document exactly and completely, in reading order, preserving casing, punctuation, currency symbols, and codes. Use an HTML table only for genuinely tabular content, mirroring its rows, columns, and merged cells; write the HTML on single lines with no indentation or blank lines between tags, and collapse horizontal alignment to a single space.", "match_method": "similarity", "score": 0.8564, "attempts": 1, "retries": 0, "total_seconds": 28.5714}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 16, "image": "280f2634-897d-499e-9e0e-2426fb6ed193_png.rf.de84ffe2f1cd78e0c4f16f319320c449.jpg", "expected": "Deloitte.\n\nDeloitte Touche Tohmatsu\nIndia LLP\nPrestige Trade Tower, Level 19\n46, Palace Road, High Grounds\nBengaluru - 560 001\nKarnataka, India\n\nTel: +91 80 6188 6000\nFax: +91 80 6188 6011\nwww.deloitte.com\n\nStrictly Private and Confidential\n\nDate: 8 July, 2025\n\nFlipkart Internet Private Limited\nAlyssa Begonia and Clover,\nEmbassy Tech Village ORR,\nDevarabeesanahalli Village,\nVarthur Hobli, Bangalore - 560103, Karnataka\n\nKind Attention: Mr. Kamal Chopra\n\nDear Sir,\n\nRe: Indirect Tax Services \u2013 Engagement Letter\n\nWe thank you for giving an opportunity to Deloitte Touche Tohmatsu India LLP (\u201cDTTI LLP\u201d or \u201cService Provider\u201d) to assist FLIPKART INTERNET PRIVATE LIMITED (\u201cClient\u201d/\u201dFKN\u201d/\u201dCompany\u201d) in Indirect tax services (\u201cServices\u201d) for the benefit of the Client and the subsidiaries and/or Affiliates of the Client as specified in Annexure-2.\n\n(The identified subsidiaries and Affiliates in Annexure-2 together with the Client, are hereinafter collectively referred to as \u201cBeneficiary/(ies)\u201d). The Services will be provided in accordance with and subject to the provisions of this engagement letter (including any Work Orders/Statement of Work and Annexures 1, 2, 3, 4, 5 and 6 hereto) (\u201cEngagement Letter\u201d) and the Standard Tax Terms attached hereto (the Engagement Letter and Standard Tax Terms hereinafter are collectively referred to as collectively \u201cContract\u201d).\n\n1. BACKGROUND\n\n1.1 Flipkart Internet Private Limited is a company which owns the E-commerce portal \u201cFlipkart.com\u201d. It functions as a marketplace wherein various business entities can list their products in the website in return to a fee charged to use its portal.\n\n1.2 We further understand that the company receives revenue through payment gateway services, hosting services, advertisement services, etc and is also engaged in fulfilment services rendered to the sellers listed on the website.\n\n1.3 We would be glad to provide assistance, more specifically described in below paragraph(s).", "predicted": "Deloitte.\nDeloitte Touche Tohmatsu\nIndia LLP\nPrestige Trade Tower, Level 19\n46, Palace Road, High Grounds\nBengaluru - 560 001\nKarnataka, India\n\nTel: +91 80 6188 6000\nFax: +91 80 6188 6011\nwww.deloitte.com\n\nStrictly Private and Confidential\n\nDate: 8 July, 2025\n\nFlipkart Internet Private Limited\nAlyssa Begonia and Clover,\nEmbassy Tech Village ORR,\nDevarabeesanahalli Village,\nVarthur Hobli, Bangalore - 560103, Karnataka\n\nKind Attention: Mr. Kamal Chopra\n\nDear Sir,\nRe: Indirect Tax Services \u2013 Engagement Letter\n\nWe thank you for giving an opportunity to Deloitte Touche Tohmatsu India LLP (\u201cDTTI LLP\u201d or \u201cService\nProvider\u201d) to assist FLIPKART INTERNET PRIVATE LIMITED (\u201cClient\u201d/\u201dFKN\u201d/\u201dCompany\u201d) in Indirect tax\nservices (\u201cServices\u201d) for the benefit of the Client and the subsidiaries and/or Affiliates of the Client as\nspecified in Annexure-2.\n\n(The identified subsidiaries and Affiliates in Annexure-2 together with the Client, are hereinafter collectively\nreferred to as \u201cBeneficiary/(ies)\u201d). The Services will be provided in accordance with and subject to the\nprovisions of this engagement letter (including any Work Orders/Statement of Work and Annexures 1, 2, 3,\n4, 5 and 6 hereto) (\u201cEngagement Letter\u201d) and the Standard Tax Terms attached hereto (the Engagement\nLetter and Standard Tax Terms hereinafter are collectively referred to as collectively \u201cContract\u201d).\n\n1. BACKGROUND\n\n1.1 Flipkart Internet Private Limited is a company which owns the E-commerce portal \u201cFlipkart.com\u201d.\nIt functions as a marketplace wherein various business entities can list their products in the website\nin return to a fee charged to use its portal.\n\n1.2 We further understand that the company receives revenue through payment gateway services,\nhosting services, advertisement services, etc and is also engaged in fulfilment services rendered to\nthe sellers listed on the website.\n\n1.3 We would be glad to provide assistance, more specifically described in below paragraph(s).\n\nMamatha", "correct": true, "input_tokens": 1161, "output_tokens": 2368, "elapsed_seconds": 29.853604582953267, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9888, "attempts": 1, "retries": 0, "total_seconds": 29.8877}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 17, "image": "93441566-50c0-4bfb-9a31-437a2bc5e4f2_png.rf.cd5bf1f53754c220ec912b1c44ade759.jpg", "expected": "2\n3000\nCOUNTER +2000\nActivate:Main Once Per Turn You may add 1 card from your Life area to your hand: This Character gains +2000 power during this turn. Then, give this Character up to 2 rested DON!! cards.\nCHARACTER\nSanji\nStraw Hat Crew\nOP01-013", "predicted": "2 3000 \u6253\nSTRIKE\nCOUNTER +2000\nActivate:Main Once Per Turn You may add 1 card from\nyour Life area to your hand: This Character gains +2000\npower during this turn. Then, give this Character up to 2\nrested DON!! cards.\nCHARACTER\nSanji\nStraw Hat Crew OP01-013 R 1\n\u00a9E.O./S \u00a9E.O./S., T.A. BANDAI MADE IN JAPAN", "correct": false, "input_tokens": 1178, "output_tokens": 895, "elapsed_seconds": 11.810651624924503, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.7954, "attempts": 1, "retries": 0, "total_seconds": 11.8265}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 18, "image": "2e43ea51-fc34-4d42-8b0f-66b2172d81f7_png.rf.345ac976ac43b542da24279e8683876b.jpg", "expected": "Q.5\n\nLet $L_1$ be the line of intersection of the planes given by the equations\n\n$$2x + 3y + z = 4 \\quad \\text{and} \\quad x + 2y + z = 5.$$\n\nLet $L_2$ be the line passing through the point $P(2, -1, 3)$ and parallel to $L_1$. Let $M$ denote the plane given by the equation\n\n$$2x + y - 2z = 6.$$\n\nSuppose that the line $L_2$ meets the plane $M$ at the point $Q$. Let $R$ be the foot of the perpendicular drawn from $P$ to the plane $M$ .\n\nThen which of the following statements is (are) TRUE?\n\n| | |\n|---|---|\n| (A) | The length of the line segment $PQ$ is $9\\sqrt{3}$ |\n| (B) | The length of the line segment $QR$ is $15$ |\n| (C) | The area of $\\triangle PQR$ is $\\dfrac{3}{2}\\sqrt{234}$ |\n| (D) | The acute angle between the line segments $PQ$ and $PR$ is $\\cos^{-1}\\left(\\dfrac{1}{2\\sqrt{3}}\\right)$ |\n\nAnswer: A, C\n\n3/9", "predicted": "**Q.5** Let $L_1$ be the line of intersection of the planes given by the equations\n\n$$2x + 3y + z = 4 \\text{ and } x + 2y + z = 5 .$$\n\nLet $L_2$ be the line passing through the point $P(2, -1, 3)$ and parallel to $L_1$. Let $M$ denote the plane given by the equation\n\n$$2x + y - 2z = 6 .$$\n\nSuppose that the line $L_2$ meets the plane $M$ at the point $Q$. Let $R$ be the foot of the perpendicular drawn from $P$ to the plane $M$ .\n\nThen which of the following statements is (are) TRUE?\n\n| | |\n| :--- | :--- |\n| (A) | The length of the line segment $PQ$ is $9\\sqrt{3}$ |\n| (B) | The length of the line segment $QR$ is $15$ |\n| (C) | The area of $\\Delta PQR$ is $\\frac{3}{2}\\sqrt{234}$ |\n| (D) | The acute angle between the line segments $PQ$ and $PR$ is $\\cos^{-1}\\left(\\frac{1}{2\\sqrt{3}}\\right)$ |\n\n**Answer: A, C**\n\n---\n3/9", "correct": false, "input_tokens": 1184, "output_tokens": 1463, "elapsed_seconds": 22.47975249995943, "metadata": {"question": "Transcribe every piece of text in this image exactly as written, in reading order, preserving question and option numbering, and omit nothing. Write mathematical expressions in LaTeX and format the result as Markdown that mirrors the layout.", "match_method": "similarity", "score": 0.9467, "attempts": 1, "retries": 0, "total_seconds": 22.4938}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 19, "image": "8b690a3e-b9cd-48e1-a323-981e43142145_png.rf.84216f941b59ba17963217ea5bea26e9.jpg", "expected": "Question 37:\nConsider a system with six I/O-bound processes and one CPU-bound process. Each I/O-bound process executes for 1 ms before blocking for a 12 ms I/O operation. The context-switch overhead is 0.1 ms.\nUsing Round-Robin scheduling:\na. Time quantum = 1 ms\nb. Time quantum = 6 ms\nFor each case:\n\u2022 Draw the execution timeline.\n\u2022 Determine the average waiting time of the CPU-bound process.\n\u2022 Explain how the choice of quantum affects waiting time.\n\nQuestion 38:\nConsider a system with twelve I/O-bound tasks and one CPU-bound task. Each I/O-bound task runs for 1 ms before performing an 8 ms I/O operation.\nUsing Round-Robin scheduling:\na. Time quantum = 1 ms\nb. Time quantum = 4 ms\nFor each case:\n\u2022 Show the sequence of process execution.\n\u2022 Determine the average number of processes in the ready queue.\n\u2022 Explain how the quantum affects queue length.\n\nQuestion 39:\nConsider a system with eight I/O-bound tasks and two CPU-bound tasks. Each I/O-bound task requests an I/O operation after every 2 ms of CPU execution. Each I/O operation requires 12 ms. Using Round-Robin scheduling:\na. Time quantum = 2 ms\nb. Time quantum = 8 ms\nDetermine:\n\u2022 CPU utilization.\n\u2022 I/O device utilization.\n\u2022 Periods when the I/O device is idle.", "predicted": "Question 37:\nConsider a system with six I/O-bound processes and one CPU-bound process. Each I/O-bound\nprocess executes for 1 ms before blocking for a 12 ms I/O operation. The context-switch\noverhead is 0.1 ms.\nUsing Round-Robin scheduling:\n a. Time quantum = 1 ms\n b. Time quantum = 6 ms\nFor each case:\n \u2022 Draw the execution timeline.\n \u2022 Determine the average waiting time of the CPU-bound process.\n \u2022 Explain how the choice of quantum affects waiting time.\n\nQuestion 38:\nConsider a system with twelve I/O-bound tasks and one CPU-bound task. Each I/O-bound task\nruns for 1 ms before performing an 8 ms I/O operation.\nUsing Round-Robin scheduling:\n a. Time quantum = 1 ms\n b. Time quantum = 4 ms\nFor each case:\n \u2022 Show the sequence of process execution.\n \u2022 Determine the average number of processes in the ready queue.\n \u2022 Explain how the quantum affects queue length.\n\nQuestion 39:\nConsider a system with eight I/O-bound tasks and two CPU-bound tasks. Each I/O-bound task\nrequests an I/O operation after every 2 ms of CPU execution. Each I/O operation requires 12\nms. Using Round-Robin scheduling:\n a. Time quantum = 2 ms\n b. Time quantum = 8 ms\nDetermine:\n \u2022 CPU utilization.\n \u2022 I/O device utilization.\n \u2022 Periods when the I/O device is idle.", "correct": false, "input_tokens": 1162, "output_tokens": 1261, "elapsed_seconds": 14.33228083292488, "metadata": {"question": "Transcribe every piece of text in this image exactly as written, in reading order, preserving question and option numbering, and omit nothing. Output as plain text but preserve the visual structure. Do not add any extra markdown styling.", "match_method": "similarity", "score": 0.9495, "attempts": 1, "retries": 0, "total_seconds": 14.3425}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 20, "image": "056e17c9-9b46-496a-9cf8-c1b54bd73216_png.rf.ad6da03e5299b085ff446174b8c6cc4b.jpg", "expected": "```python\nclass Snapshot(BaseModel):\n pageIndex: int = 1\n stateId: str # computed by extension\n interactive: List[InteractiveElement] = Field(default_factory=list)\n extracted: Optional[ExtractedCard] = None\n ts_ms: int\n```", "predicted": "```python\nclass Snapshot(BaseModel):\n pageIndex: int = 1\n stateId: str # computed by extension\n interactive: List[InteractiveElement] = Field(default_factory=list)\n extracted: Optional[ExtractedCard] = None\n ts_ms: int\n```", "correct": true, "input_tokens": 1200, "output_tokens": 856, "elapsed_seconds": 19.080518874921836, "metadata": {"question": "Transcribe every piece of text in this screenshot exactly as written, in reading order, and omit nothing. Put source code inside fenced code blocks, preserving indentation, quotes, and casing exactly, and transcribe surrounding interface text as Markdown. Transcribe only the complete definition of the `Snapshot` class exactly as it appears in the code editor, including the class line and all its fields, and ignore all other code, editor chrome, file tabs, sidebars, and the terminal.", "match_method": "similarity", "score": 1.0, "attempts": 1, "retries": 0, "total_seconds": 19.1218}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 21, "image": "0f7a1b1b-b0f9-4dba-9659-0455701b7a3f_png.rf.a006d974af16d067a2ee124fe9e15f3f.jpg", "expected": "Department of Computer Science and Engineering\nFaculty of Technology & Engineering\nThe M. S. University of Baroda, Vadodara\nS.S BE IV CSE (______)\n\nINDUSTRY PROJECT EVALUATION FORM\n\nName of the Student : Raval Sumit Bharatbhai\nName of Project Guide : Sukhvala Prit Hasmukhbhai\nTitle / Designation : Jr. Salesforce Developer\nEmail of Project Guide : sukhvalaps@gmail.com\nAddress of the Organization : Dev Arcade, U3, Eru Char Rasta, Vejalpore, Jalalpore, Eroo, Navsari, Gujarat-396450\nContact No. : 98751 62607\n\n(Indicate your choice by tick a (\u2713) mark):\n\nHighest-----------------------------------------------------------------Lowest\n\n
Attributes of ObservancePO54321
1Punctuality/ RegularityPO8\u2713
2Sincerity in LearningPO12\u2713
3Enthusiasm to use new technological toolsPO5\u2713
4Team Spirit: Relationship with Team MembersPO9\u2713
5Technical/Programming SkillsPO1\u2713
6Societal Impact of ProjectPO7\u2713
7InnovationPO1,PO5\u2713
8Knowledge of Algorithm OptimizationPO1,PO4\u2713
9Problem Solving AbilityPO2\u2713
10Project Management/Leadership Skills: Taking responsibilitiesPO11\u2713
11Communication SkillsPO10\u2713
12Implementing InstructionsPO3\u2713
13Achievement of DeadlinesPO11\u2713
14Follows Sustainable Development practices in day to day work and project workPO6\u2713
15Overall Performance, Behavior and AttitudePO8\u2713
\n\nPage 1 of 2", "predicted": "Department of Computer Science and Engineering\nFaculty of Technology & Engineering\nThe M. S. University of Baroda, Vadodara\nS.S BE IV CSE ( )\n\nINDUSTRY PROJECT EVALUATION FORM\n\nName of the Student : Raval Sumit Bharatbhai\nName of Project Guide : Sakhvala Prit Hasmukhbhai\nTitle / Designation : Jr. Salesforce Developer\nEmail of Project Guide : sakhvalaps@gmail.com\nAddress of the Organization : Dev Arcade, U3, Eru Char Rasta,\nVejalpore, Jalapore, Eroo , Navsari,\nGujarat-396450\nContact No. : 98751 62607\n\n(Indicate your choice by tick a (\u221a) mark):\n\nHighest------------------------------------------------------------Lowest\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Attributes of ObservancePO54321
1Punctuality/ RegularityPO8\u2713
2Sincerity in LearningPO12\u2713
3Enthusiasm to use new technological toolsPO5\u2713
4Team Spirit: Relationship with Team MembersPO9\u2713
5Technical/Programming SkillsPO1\u2713
6Societal Impact of ProjectPO7\u2713
7InnovationPO1,PO5\u2713
8Knowledge of Algorithm OptimizationPO1,PO4\u2713
9Problem Solving AbilityPO2\u2713
10Project Management/Leadership Skills: Taking responsibilitiesPO11\u2713
11Communication SkillsPO10\u2713
12Implementing InstructionsPO3\u2713
13Achievement of DeadlinesPO11\u2713
14Follows Sustainable Development practices in day to day work and project workPO6\u2713
15Overall Performance, Behavior and AttitudePO8\u2713
\n\nPage 1 of 2", "correct": true, "input_tokens": 1166, "output_tokens": 2231, "elapsed_seconds": 23.659742292016745, "metadata": {"question": "Transcribe all text in this document exactly and completely, in reading order, preserving casing, punctuation, currency symbols, and codes. Use an HTML table only for genuinely tabular content, mirroring its rows, columns, and merged cells; write the HTML on single lines with no indentation or blank lines between tags, and collapse horizontal alignment to a single space.", "match_method": "similarity", "score": 0.9763, "attempts": 1, "retries": 0, "total_seconds": 23.6775}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 22, "image": "4f216ea0-af67-40e1-a226-2884e051db56_png.rf.b2fadeee17b3985c08325bec449bfd27.jpg", "expected": "NANAVATI\nMAX Super Speciality Hospital\n\n28/11/25\n\nTo\n\nWHOM SO EVER IT MAY CONCERNS\n\nMrs. Tanvi Mehta, 33/F, K/c/o CKD Stage 5 is planned for Live related kidney transplant on 2/12/2025. Post op patient is given immunosuppressants so require Isolation / Single room for infection prevention.\n\nSo kindly consider the same.\n\nFor Dr. Jalin Kotuan.\n\nDr. Balabhai Nanavati Hospital (Charitable) \nS.V. Road, Vile Parle (W), Mumbai - 400 056 \nTel.: +91-22-6134 7500 \nManaged by Max Hospitals and Allied services Limited\n\nwww.nanavatimaxhospital.org", "predicted": "NANAVATI\nMAX Super Speciality 28/11/25\nHospital\n\nTo\n WHOM SO EVER IT MAY CONCERNS\n\n Mrs. Tanvi Mehta, 33/F, k/c/o CKD stage 5\nis planned for Live related kidney transplant\non 2/12/2025. Post op patient is given\nimmunosuppressants so recquire Isolation/\nSingle room for infection prevention.\n So kindly consider the same.\n\n DR. BALABHAI NANAVATI HOSPITAL\n MUMBAI-56\n For Dr. Jatin Kothari.\n\nDr. Balabhai Nanavati Hospital (Charitable)\nS.V. Road, Vile Parle (W), Mumbai - 400 056\nTel.: +91-22-6134 7500\nManaged by Max Hospitals and Allied Services Limited\n\nwww.nanavatimaxhospital.org", "correct": false, "input_tokens": 1140, "output_tokens": 1621, "elapsed_seconds": 27.17475841694977, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.8677, "attempts": 1, "retries": 0, "total_seconds": 27.2318}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 23, "image": "058e2b7c-372e-4d28-8921-9686341124d1_png.rf.17dd3d796974c2aef56049a1e6edcee8.jpg", "expected": "Sir Ganga Ram Hospital\nSir Ganga Ram Hospital Marg, Rajinder Nagar,\nNew Delhi-110060, INDIA Tel : +91-11-4225 4000\n\nMedical Superintendent (Offg.)\nSir Ganga Ram Kolmet Hospital, 7-B, Pusa Road,\nNew Delhi-110005. Tel : +91-11-45099999, (D) 45099980\n\nDr. Raj Kamal Agarwal\nSr. Consultant\nDeptt. of Anaesthesiology\nPain & Peri Operative Medicine\nMobile : +91 98101 52201\nE-mail : kamalagarwal300@gmail.com\n\nTO WHOM IT MAY CONCERN\n\nAs per ICMR guideline, the contacts of COVID +ve cases should be put on HOME ISOLATION even with Mild Symptoms\n\nIt is advised that everybody takes these preventive medication apart from following SOCIAL DISTANCING, HAND HYGIENE & WEARING MASK\n\nRx\n\u2022 TAB HYDROXY CHLOROQUINE 400mg once a week\n\u2022 TAB VITAMIN C one gram once a day\n\u2022 TAB ZINC 50 mg once a day\n\nIn case of fever\n\n* \u2022 TAB CROCIN/CALPOL 650 mg SOS\n\nIn case of throat pain & cough\n\n* \u2022 TAB CETRIZINE 10mg once a day.\n\u2022 SYRUP ALEX 2/3 Tea spoon 3 times a day.\n\nDr. RAJ KAMAL AGARWAL\nMBBS, DA\nDMC No. 14517\nSENIOR CONSULTANT\nDEPTT. OF ANAESTHSIOLOGY\nPERIOPERATIVE MEDICINE & PAIN\nSIR GANGARAM HOSPITAL\nRAJINDER NAGAR, NEW DELHI-110060\nPh.9810152201\n\nResidence :\n181, Royalton Tower, Princeton Estate, DLF Phase-V, Gurugram, Haryana", "predicted": "Sir Ganga Ram Hospital Dr. Raj Kamal Agarwal\nSir Ganga Ram Hospital Marg, Rajinder Nagar, Sr. Consultant\nNew Delhi-110060, INDIA Tel : +91-11-4225 4000 Deptt. of Anaesthesiology\nMedical Superintendent (Offg.) Pain & Peri Operative Medicine\nSir Ganga Ram Kolmet Hospital, 7-B, Pusa Road, Mobile : +91 98101 52201\nNew Delhi-110005. Tel : +91-11-45099999, (D) 45099980 E-mail : kamalagarwal300@gmail.com\n\n TO WHOM IT MAY CONCERN\n As per ICMR guideline, the contacts of\nCOVID +ve cases should be put on HOME\nISOLATION even with Mild Symptoms\n It is advised that everybody takes these\npreventive medication apart from following\nSOCIAL DISTANCING, HAND HYGIENE & WEARING\nMASK\n Rx\n \u2022 TAB HYDROXYCHLOROQUINE 400mg once a week\n \u2022 TAB VITAMIN C one gram once a day\n \u2022 TAB ZINC 50 mg once a day\n In case of fever\n * \u2022 TAB CROCIN / CALPOL 650 mg SOS\n In case of throat pain & cough\n * \u2022 TAB CETRIZINE 10 mg once a day.\n \u2022 SYRUP ALEX 2/3 Tea spoon 3 times a day.\n\n DR. RAJ KAMAL AGARWAL\n MBBS, DA\n [illegible] DMC NO 4537\n SENIOR CONSULTANT\n DEPTT. OF ANAESTHSIOLOGY\n PERIOPERATIVE MEDICINE & PAIN\n SIR GANGARAM HOSPITAL\n Residence : RAJINDER NAGAR, NEW DELHI-110060\n 181, Royalton Tower, Princeton Estate, DLF Phase-V, Gurugram, Haryana-122002 PH: 9810152201", "correct": false, "input_tokens": 1152, "output_tokens": 2282, "elapsed_seconds": 26.379774458007887, "metadata": {"question": "Transcribe all handwritten and printed text exactly as written, reading top to bottom and left to right, and omit nothing; mark only genuinely unreadable words as [illegible]. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.7231, "attempts": 1, "retries": 0, "total_seconds": 26.4611}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 24, "image": "1b4e5426-d109-4398-8e45-ab1dc497980f_png.rf.bded2a0f08d8a00ca919034e8f04cf48.jpg", "expected": "Lesson \n1.1\n\nReading (Recognizing Uppercase and Lowercase Letters)\n\nActivity\n\nCircle the matching lowercase letter in each row. The first one has been completed.\n\n| | | | | |\n|---|---|---|---|---|\n| A | c | (a) | e | h |\n| B | v | n | (b) | l |\n| C | a | w | e | (c) |\n| D | (d) | l | t | i |\n| E | b | m | x | (e) |\n| F | e | o | (f) | p |\n| G | h | (g) | r | s |\n| H | v | a | (h) | r |\n| I | c | a | (i) | p |\n| J | t | y | o | (j) |\n| K | (k) | x | d | u |\n| L | o | (l) | a | t |\n| M | b | (m) | n | w |", "predicted": "Lesson\n1.1\n\n# Reading (Recognizing Uppercase and Lowercase Letters)\n\n### Activity\n\n**Circle the matching lowercase letter in each row. The first one has been completed.**\n\n| A | c | a | e | h |\n| :---: | :---: | :---: | :---: | :---: |\n| B | v | n | b | l |\n| C | a | w | e | c |\n| D | d | l | t | i |\n| E | b | m | x | e |\n| F | e | o | f | p |\n| G | h | g | r | s |\n| H | v | a | h | r |\n| I | c | a | i | p |\n| J | t | y | o | j |\n| K | k | x | d | u |\n| L | o | l | a | t |\n| M | b | m | n | w |\n\nCabsera", "correct": false, "input_tokens": 1190, "output_tokens": 1362, "elapsed_seconds": 16.4684752500616, "metadata": {"question": "Transcribe every piece of text in this image exactly as written, in reading order, preserving question and option numbering, and omit nothing. Write mathematical expressions in LaTeX and format the result as Markdown that mirrors the layout. Ignore the vertical text printed sideways along the page margin.", "match_method": "similarity", "score": 0.8511, "attempts": 1, "retries": 0, "total_seconds": 16.505}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 25, "image": "9e81338a-33bb-479d-939a-0df376f0a972_png.rf.917d36705351e18951147dc224677339.jpg", "expected": "yes exactly! a bit like i'm being manipulated in some creepy way. \"please like me, look how much i know about you, we are good friends\".", "predicted": "Andrej Karpathy @karpathy \u00b7 1\u5c0f\u65f6\nyes exactly! a bit like i'm being manipulated in some creepy way. \"please like\nme, look how much i know about you, we are good friends\".\n4 2 105 4,300", "correct": false, "input_tokens": 1184, "output_tokens": 1120, "elapsed_seconds": 20.059258457971737, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom, keeping each author's handle with their message, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the last (bottom-most) tweet authored by Andrej Karpathy (@karpathy).", "match_method": "similarity", "score": 0.7418, "attempts": 1, "retries": 0, "total_seconds": 20.0914}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 26, "image": "e6e06b1b-da53-41ac-bfdf-9316443ff037_png.rf.39688157a0a030c060170f7400170d30.jpg", "expected": "31/3/24 AI OCR Tools\n\nQuite unusually for me, this essay started its life as a scribble in a notebook rather than something I typed into a markdown editor. A few weeks ago Tiago Forte made a short video suggesting that people can use GPT4-V to capture their hand-written notes digitally. I've been looking for a \"smart\" OCR tool that can process my terribly scratchy, spidery hand writing for many years and none have quite cut the mustard. But, I thought, why not give it a go. To my absolute surprise, GPT did a phenomenal job of parsing my scrawlings and spitting out text. I was seriously impressed. Handwriting OCR has now gone from a fun toy and conversation piece to something I can actually, seriously use in my workflow. So then, is GPT via ChatGPT the best option I've got for this task or are there any FOSS tools and models that I could use instead?\n\nThe Closest option: CRAFT-TROCR\n\nI played with this a couple of years ago and it was reasonably good at certain content but only if I write in my very best hand writing all the time. And I don't do that because when I am taking notes in a meeting or something, I am thinking about the meeting, not my hand writing.\n\nHow does CRAFT-TROCR work? Are there any major differences? I'm guessing a big transformer model is able to maximise probability globally across the image + the generated text.\n\n68", "predicted": "31/3/24 AI OCR Tools\n\nQuite unusually for me, this essay started its life\nas a scribble in a notebook rather than something\nI typed into a markdown editor. A few weeks ago\nTiago Forte made a short video suggesting that\npeople can use GPT4-V to capture their hand-written\nnotes digitaly. I've been looking for a \"smart\"\nOCR tool that can process my terribly scratchy,\nspidery hand writing for many years and none have\nquite cut the mustard. But, I thought, why not\ngive it a go. To my absolute surprise, GPT did\na phenomenal job of parsing my scrawlings and\nspitting out text. I was seriously impressed.\nHandwriting OCR has now gone from a fun toy\nand conversation piece to something I can actually, seriously\nuse in my workflow. So then, is GPT via ChatGPT\nthe best option I've got for this task or are\nthere any FOSS tools and models that I could\nuse instead?\n\nThe classic option: CRAFT-TROCR\n\nI played with this a couple of years ago and\nit was reasonably good at certain content but only\nif I write in my very best hand writing all the time.\nAnd I don't do that because when I am taking\nnotes in a meeting or something, I am thinking about\nthe meeting, not my hand writing.\n\nHow does CRAFT-TROCR work? Are there any major\ndifferences? I'm guessing a big transformer model\nis able to maximise probability globally across the\nimage + the generated text.\n\n68", "correct": true, "input_tokens": 1210, "output_tokens": 2554, "elapsed_seconds": 35.621056083007716, "metadata": {"question": "Transcribe all handwritten and printed text exactly as written, reading top to bottom and left to right, and omit nothing; mark only genuinely unreadable words as [illegible]. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the text on the left page of the notebook, ignoring the partially visible right page.", "match_method": "similarity", "score": 0.9772, "attempts": 1, "retries": 0, "total_seconds": 35.6691}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 27, "image": "d1d7aaf7-169c-4847-866d-61bc0a6784b4_png.rf.47c7117d83bf6448f821dbc28e0e6255.jpg", "expected": "R\u00c9PUBLIQUE FRAN\u00c7AISE\nCARTE NATIONALE D'IDENTIT\u00c9 / IDENTITY CARD\n\nNOM / Surname \nMARTIN\n\nPr\u00e9noms / Given names \nMa\u00eblys Ga\u00eblle, Marie\n\nSEXE / Sex\nF\n\nNATIONALIT\u00c9 / Nationality\nFRA\n\nDATE DE NAISS. / Date of birth \n13 07 1990\n\nLIEU DE NAISSANCE / Place of birth \nPARIS\n\nNOM D'USAGE / Alternate name \nNOM D'USAGE\n\nN\u00b0 DU DOCUMENT / Document No. \nX4RTBPFW4\n\nDATE D'EXPIR. / Expiry date \n11 02 2030\n\nSignature\n\n384213", "predicted": "R\u00c9PUBLIQUE FRAN\u00c7AISE FR\nCARTE NATIONALE D'IDENTIT\u00c9 / IDENTITY CARD\nNOM / Surname\nMARTIN\nPr\u00e9noms / Given names\nMa\u00eblys-Ga\u00eblle, Marie\nSEXE / Sex NATIONALIT\u00c9 / Nationality DATE DE NAISS. / Date of birth\nF FRA 13 07 1990\nLIEU DE NAISSANCE / Place of birth\nPARIS\nNOM D'USAGE / Alternate name\nNOM D'USAGE\nN\u00b0 DU DOCUMENT / Document No. DATE D'EXPIR. / Expiry date\nX4RTBPFW4 11 02 2030\n384213", "correct": false, "input_tokens": 1179, "output_tokens": 1780, "elapsed_seconds": 21.49229704204481, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the main identity document, reading top to bottom and left to right, and ignore the vertical text along the left edge, the signature graphic, and the faint background watermark.", "match_method": "similarity", "score": 0.8504, "attempts": 1, "retries": 0, "total_seconds": 21.5558}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 28, "image": "bcd74d99-f2d8-4005-aa54-2cc083e5a293_png.rf.1d000af6e7da39b4a95398db67f4bcbb.jpg", "expected": "4/16/26, 3:09 PM\n\nDocs\n\nGetting Started with Docker setup\n\nTo begin developing and deploying applications within this environment, you must have Docker Engine and the Docker Compose plugin installed. Follow the steps below to set up the environment on a Debian/Ubuntu-based system.\n\n1. Update the Package Index\n\nsudo apt update\n\nsudo apt install -y ca-certificates curl gnupg lsb-release\n\ncurl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --dearmor -o /etc/apt/keyrings/docker.gpg\n\nsudo chmod a+r /etc/apt/keyrings/docker.gpg\n\necho \\\n \"deb [arch=$(dpkg --print-architecture) signed-by=/etc/apt/keyrings/docker.gpg] https://download.docker.com/linux/ubuntu \\\n $(. /etc/os-release && echo \"$VERSION_CODENAME\") stable\" | \\\n sudo tee /etc/apt/sources.list.d/docker.list > /dev/null\n\nsudo apt update\n\nsudo apt install -y docker-ce docker-ce-cli containerd.io docker-buildx-plugin docker-compose-plugin", "predicted": "4/16/26, 3:09 PM Docs\n\nGetting Started with Docker setup\n\nTo begin developing and deploying applications within this environment, you must\nhave Docker Engine and the Docker Compose plugin installed. Follow the steps\nbelow to set up the environment on a Debian/Ubuntu-based system.\n\n1. Update the Package Index\n\nsudo apt update\n\nsudo apt install -y ca-certificates curl gnupg lsb-release\n\ncurl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --\ndearmor -o /etc/apt/keyrings/docker.gpg\n\nsudo chmod a+r /etc/apt/keyrings/docker.gpg\n\necho \\\n \"deb [arch=$(dpkg --print-architecture) signed-\nby=/etc/apt/keyrings/docker.gpg]\nhttps://download.docker.com/linux/ubuntu \\\n $(. /etc/os-release && echo \"$VERSION_CODENAME\") stable\" | \\\n sudo tee /etc/apt/sources.list.d/docker.list > /dev/null\n\nsudo apt update\n\nsudo apt install -y docker-ce docker-ce-cli containerd.io docker-\nbuildx-plugin docker-compose-plugin", "correct": true, "input_tokens": 1161, "output_tokens": 1395, "elapsed_seconds": 12.835587374982424, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9913, "attempts": 1, "retries": 0, "total_seconds": 12.8453}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 29, "image": "8aa12106-fbe5-4983-96bf-a1243a7c4020_png.rf.83832cdeaaf470d6954bbada16920ccd.jpg", "expected": "\"Jade City\"\nBaan 16 - 8256 AX\nBiddinghuizen\n\nT.Nr: L7\n\n
1 Gebraden magere spek met pikante saus a 19.50 (1 Nasi a EUR 1.00)EUR20.50
1 Chinese bami a la \"Jade City\" a 19.00EUR19.00
1 Babi pangang met pikante saus a 19.00 (1 Nasi a EUR 1.00)EUR20.00
1 Koe Loe Kai a 18.00 (1 Nasi a EUR 1.00)EUR19.00
1 Ossenhaas met oestersaus a 21.00EUR21.00
2 Dame blanche(ijs.choc.slagroom)EUR9.00
1 Cola a 3.25EUR3.25
2 Cola-max a 3.25EUR6.50
1 Sinas a 3.25EUR3.25
1 Seven-up a 3.25EUR3.25
2 ice thee met prik a 3.75EUR7.50
3 ijs a 4.00EUR12.00
\n\n============ +\nTotaal: EUR 144.25\n============\n\nBTW 9.0% EUR 11.91\n\nBedankt voor Uw bezoek\nRabobank NL29 0348178123\nKvk 39037611", "predicted": "\"Jade City\"\nBaan 16 - 8256 AX\nBiddinghuizen\n\nT.Nr: L7\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
1 Gebraden magere spek metEUR20.50
pikante saus a 19.50
(1 Nasi a EUR 1.00)
1 Chinese bami a la \"JadeEUR19.00
City\" a 19.00
1 Babi pangang met pikanteEUR20.00
saus a 19.00
(1 Nasi a EUR 1.00)
1 Koe Loe Kai a 18.00EUR19.00
(1 Nasi a EUR 1.00)
1 Ossenhaas met oestersausEUR21.00
a 21.00
2 DameEUR9.00
blanche(ijs.choc.slagroom)
1 Cola a 3.25EUR3.25
2 Cola-max a 3.25EUR6.50
1 Sinas a 3.25EUR3.25
1 Seven-up a 3.25EUR3.25
2 ice thee met prik a 3.75EUR7.50
3 ijs a 4.00EUR12.00
========== +
Totaal:EUR144.25
==========
\n\nBTW 9.0% EUR 11.91\n\nBedankt voor Uw bezoek\nRabobank NL29 0348178123\nKvk 39037611", "correct": false, "input_tokens": 1204, "output_tokens": 5860, "elapsed_seconds": 58.26389445795212, "metadata": {"question": "Transcribe all text in this document exactly and completely, in reading order, preserving casing, punctuation, currency symbols, and codes. Use an HTML table only for genuinely tabular content, mirroring its rows, columns, and merged cells; write the HTML on single lines with no indentation or blank lines between tags, and collapse horizontal alignment to a single space. Transcribe only the main receipt in the foreground, and ignore the upside-down, semi-transparent receipt behind it.", "match_method": "similarity", "score": 0.6585, "attempts": 1, "retries": 0, "total_seconds": 58.3341}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 30, "image": "11b83a24-c9b8-4d9a-b4db-b73d396719cd_png.rf.358e9a65b048e920c8eacbd7b7fb1df6.jpg", "expected": "Something tells me that if they released their chat/tool/hyper-param templates which they use on their cloud service, there'd be a lot more love and acceptance. Why anyone is still using a llama.cpp wrapper anymore is the better question and beyond me.", "predicted": "Eric @Ex0byt \u00b7 1\u5c0f\u65f6\nSomething tells me that if they released their chat/tool/hyper-param\ntemplates which they use on their cloud service, there\u2019d be a lot more love\nand acceptance. Why anyone is still using a llama.cpp wrapper anymore is\nthe better question and beyond me.\n40", "correct": false, "input_tokens": 1199, "output_tokens": 2466, "elapsed_seconds": 30.3191117499955, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom, keeping each author's handle with their message, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the reply authored by Eric (@Ex0byt).", "match_method": "similarity", "score": 0.9051, "attempts": 1, "retries": 0, "total_seconds": 30.3484}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 31, "image": "fc6e5e8d-4b33-4a20-a63a-96c0205ae8f6_png.rf.6cdeb04c221a85b1895ded05acdbfa1b.jpg", "expected": "When recorded return to:\nSTRIBLING LAW FIRM PO\n101 E MCINTOSH ST\nMILLEDGEVILLE GA 3106\n\nDoc ID: 001029530008 Type: GLR\nRecorded: 10/21/2013 at 04:07:30 PM\nPage 1 of 8\nBaldwin, Ga. Clerk Superior Court\nRosemary Phillips Clerk of Courts\nBK 1150 PG 483-490\n\nFILED & RECORDED\nCLERK, SUPERIOR COURT\nBALDWIN COUNTY, GA\n2013 OCT 21 PM 4: 07\nBY\nROSEMARY PHILLIPS, CLERK\n\nDeed To Secure Debt\n(With Future Advance Clause)\n\n1. Date and Parties. The date of this Deed to Secure Debt (Security Instrument) is OCTOBER 21, 2013\n. The parties and their addresses are:\n\nGrantor: THE BRACK FAMILY LIMITED\nPARTNERSHIP\n891 S JEFFERSON STREET SE\nMILLEDGEVILLE GA 31061\n\n\u2610 If checked, refer to the attached Addendum incorporated herein, for additional Grantors, their signatures\nand acknowledgments.\n\nGrantee: CENTURY BANK AND TRUST\n(\"Lender\") 141 S WAYNE ST\nMILLEDGEVILLE, GA 31061-5708\n\n2. Conveyance. For good and valuable consideration, the receipt and sufficiency of which is acknowledged,\nand to secure the Secured Debt (defined below) and Grantor\u2019s performance under this Security Instrument,\nGrantor irrevocably grants, bargains, transfers, conveys and sells to Lender, with power of sale, the\nfollowing described property:\n*SEE EXHIBIT 'A' ATTACHED HERETO AND INCORPORATED HEREIN BY REFERENCE.\n\nThe property is located in BALDWIN at\n(County)\n101 KINGS RD , MILLEDGEVILLE , Georgia 31061-0000\n(Address) (City) (ZIP Code)\nTogether with all rights, easements, appurtenances, royalties, mineral rights, oil and gas rights, all water and\nriparian rights, ditches, and water stock and all existing and future improvements, structures, fixtures, and\nreplacements that may now, or at any time in the future, be part of the real estate described above (all\nreferred to as \"Property\").\n\n3. Maximum Obligation Limit. The total principal amount secured by this Security Instrument at any one time\nshall not exceed $ UNLIMITED . This limitation of amount does not include\ninterest and other fees and charges validly made pursuant to this Security Instrument. Also, this limitation\ndoes not apply to advances made under the terms of this Security Instrument to protect Lender\u2019s security and\nto perform any of the covenants contained in this Security Instrument.\n\nReal Estate Security Instrument-Consumer-GA\nVMP\u00ae Bankers Systems\u2122\nWolters Kluwer Financial Services \u00a9 1994, 2011\n\nRE-DSD-GA 1/24/2011\nVMPC231(GA) (1101).00\nPage 1 of 6\n\nBB R# 189300", "predicted": "When recorded return to:\nSTRIBLING LAW FIRM PC 2\n101 E MCINTOSH ST\nMILLEDGEVILLE GA 31061\n\n1\nFILED & RECORDED\nCLERK, SUPERIOR COURT\nBALDWIN COUNTY, GA\n\nDoc ID: 001029530008 Type: GLR\nRecorded: 10/21/2013 at 04:07:30 PM 2013 OCT 21 PM 4: 07\nPage 1 of 8\nBaldwin, Ga. Clerk Superior Court\nRosemary Phillips Clerk of Courts BY Barbara Boyer\nBK 1150 PG 483-490 ROSEMARY PHILLIPS, CLERK\ndpty Clerk\n\nDeed To Secure Debt\n(With Future Advance Clause)\n\n1. Date and Parties. The date of this Deed to Secure Debt (Security Instrument) is OCTOBER 21, 2013\n . The parties and their addresses are:\n\n Grantor: THE BRACK FAMILY LIMITED\n PARTNERSHIP\n 891 S JEFFERSON STREET SE\n MILLEDGEVILLE GA 31061\n\n If checked, refer to the attached Addendum incorporated herein, for additional Grantors, their signatures\n and acknowledgments.\n\n Grantee: CENTURY BANK AND TRUST\n (\"Lender\") 141 S WAYNE ST\n MILLEDGEVILLE, GA 31061-5708\n\n2. Conveyance. For good and valuable consideration, the receipt and sufficiency of which is acknowledged,\n and to secure the Secured Debt (defined below) and Grantor's performance under this Security Instrument,\n Grantor irrevocably grants, bargains, transfers, conveys and sells to Lender, with power of sale, the\n following described property:\n *SEE EXHIBIT 'A' ATTACHED HERETO AND INCORPORATED HEREIN BY REFERENCE.\n\n The property is located in BALDWIN at\n (County)\n 101 KINGS RD , MILLEDGEVILLE , Georgia 31061-0000\n (Address) (City) (ZIP Code)\n Together with all rights, easements, appurtenances, royalties, mineral rights, oil and gas rights, all water and\n riparian rights, ditches, and water stock and all existing and future improvements, structures, fixtures, and\n replacements that may now, or at any time in the future, be part of the real estate described above (all\n referred to as \"Property\").\n\n3. Maximum Obligation Limit. The total principal amount secured by this Security Instrument at any one time\n shall not exceed $ UNLIMITED . This limitation of amount does not include\n interest and other fees and charges validly made pursuant to this Security Instrument. Also, this limitation\n does not apply to advances made under the terms of this Security Instrument to protect Lender's security and\n to perform any of the covenants contained in this Security Instrument.\n\nReal Estate Security Instrument-Consumer-GA RE-DSD-GA 1/24/2011\nVMP\u00ae Bankers Systems\u2122 VMPC231(GA) (1101).00\nWolters Kluwer Financial Services \u00a9 1994, 2011 Page 1 of 6\n\nBB R# 189300", "correct": false, "input_tokens": 1168, "output_tokens": 2255, "elapsed_seconds": 20.755247958935797, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.8777, "attempts": 1, "retries": 0, "total_seconds": 20.7857}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 32, "image": "c05c3288-ac14-47d6-8756-9ad484ae9696_png.rf.0ff67a7a39c5d5c7c9739988d851c032.jpg", "expected": "COST OF LIVING\n\nThe following figures are a general guide to essential monthly expenses for an expatriate executive living in Azerbaijan.\n\nMarried\nSingle couple with\nperson two children\n(US$) (US$)\n\nRent 800 3,000\nFood 300 1,200\nTransport 150 300\nUtilities 100 150\nEducation n. a. 1,000\nMiscellaneous 500 1,000\n\nTotal 1,850 6,650", "predicted": "COST OF LIVING\n\nThe following figures are a general guide to\nessential monthly expenses for an expatriate\nexecutive living in Azerbaijan.\n\nMarried\nSingle couple with\nperson two children\n(US$) (US$)\nRent 800 3,000\nFood 300 1,200\nTransport 150 300\nUtilities 100 150\nEducation n. a. 1,000\nMiscellaneous 500 1,000\nTotal 1,850 6,650", "correct": true, "input_tokens": 1164, "output_tokens": 1520, "elapsed_seconds": 30.15996133396402, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9878, "attempts": 1, "retries": 0, "total_seconds": 30.198}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 33, "image": "5327a38f-11a2-45f2-9a38-e1375dfbeb43_png.rf.b6a2243d098302d780056ad980a16a9c.jpg", "expected": "Probabilistic two-stage detection\n\ncosts of the second stage. Our second stage makes full use of years of progress in two-stage detection (Cai & Vasconcelos, 2018; Chen et al., 2019a) and yields a significant increase in detection accuracy over one-stage baselines. It also easily scales to large-vocabulary detection.\n\nExperiments on COCO (Lin et al., 2014), LVIS (Gupta et al., 2019), and Objects365 (Shao et al., 2019) demonstrate that our probabilistic two-stage framework boosts the accuracy of a strong CascadeRCNN model by 1-3 mAP, while also improving its speed. Using a standard ResNeXt-101-DCN backbone with a CenterNet (Zhou et al., 2019a) first stage, our detector achieves 50.2 mAP on COCO test-dev. With a strong Res2Net-101-DCN-BiFPN (Gao et al., 2019a; Tan et al., 2020b) backbone and self-training (Zoph et al., 2020), it achieves 56.4 mAP with single-scale testing, outperforming all published results. Using a small DLA-BiFPN backbone and lower input resolution, we achieve 49.2 mAP on COCO at 33 fps on a Titan Xp, outperforming the popular YOLOv4 model (43.5 mAP at 33 fps) on the same hardware. Code and models are release at https://github.com/xingyizhou/CenterNet2.\n\n2. Related Work\n\nOne-stage detectors jointly predict an output class and location of objects densely throughout the image. RetinaNet (Lin et al., 2017b) classifies a set of predefined sliding anchor boxes and handles the foreground-background imbalance by reweighting losses for each output. FCOS (Tian et al., 2019) and CenterNet (Zhou et al., 2019a) eliminate the need of multiple anchors per pixel and classify foreground/background by location. ATSS (Zhang et al., 2020b) and PAA (Kim & Lee, 2020) further improve FCOS by changing the definition of foreground and background. GFL (Li et al., 2020b) and Autoassign (Zhu et al., 2020a) change the hard foreground-background assignment to a weighted soft assignment. AlignDet (Chen et al., 2019c) uses a deformable convolution layer before the output to gather richer features for classification and regression. RepPoint (Yang et al., 2019) and DenseRepPoint (Yang et al., 2020) encode bounding boxes as the outline of a set of points and use the features of the point set for classification. BorderDet (Qiu et al., 2020) pools features along the bounding box for better localization. Most one-stage detectors have a sound probabilistic interpretation.\n\nWhile one-stage detectors have achieved competitive performance (Zhang et al., 2020b; Kim & Lee, 2020; Zhang et al., 2019; Li et al., 2020b; Zhu et al., 2020a), they usually rely on heavier separate classification and regression branches than two-stage models. In fact, they are no longer faster than their two-stage counterparts if the vocabulary (i.e., the set of object classes) is large (as in the LVIS or Objects365 datasets). Also, one-stage detectors only use the local features of the positive cell for regression and classification, which is sometimes misaligned with the object (Chen et al., 2019c; Song et al., 2020).\n\nOur probabilistic two-stage framework retains the probabilistic interpretation of one-stage detectors, but factorizes the probability distribution over multiple stages, improving both accuracy and speed.\n\nTwo-stage detectors first use a region proposal network (RPN) to generate coarse object proposals, and then use a dedicated per-region head to classify and refine them. Faster-RCNN (Ren et al., 2015; He et al., 2017) uses two fully-connected layers as the RoI heads. CascadeRCNN (Cai & Vasconcelos, 2018) uses three cascaded stages of Faster-RCNN, each with a different positive threshold so that the later stages focus more on localization accuracy. HTC (Chen et al., 2019a) utilizes additional instance and semantic segmentation annotations to enhance the inter-stage feature flow of CascadeRCNN. TSD (Song et al., 2020) decouples the classification and localization branches for each RoI.\n\nTwo-stage detectors are still more accurate in many settings (Gupta et al., 2019; Sun et al., 2020; Kuznetsova et al., 2018). Currently, all two-stage detectors use a relatively weak RPN that maximizes the recall of the top 1K proposals, and does not utilize the proposal score at test time. The large number of proposals slows the system down, and the recall-based proposal network does not directly offer the same clear probabilistic interpretation as one-stage detectors. Our framework addresses this, and integrates a strong class-agnostic single-stage object detector with later classification stages. Our first stage uses fewer, but higher quality, regions, yielding both faster inference and higher accuracy.\n\nOther detectors. A family of object detectors identify objects via points in the image. CornerNet (Law & Deng, 2018) detects the top-left and bottom-right corners and groups them using an embedding feature. ExtremeNet (Zhou et al., 2019b) detects four extreme points and groups them using an additional center point. Duan et al. (2019) detect the center point and use it to improve corner grouping. Corner Proposal Net (Duan et al., 2020) uses pairwise corner groupings as region proposals. CenterNet (Zhou et al., 2019a) detects the center point and regresses the bounding box parameters from it.\n\nDETR (Carion et al., 2020) and Deformable DETR (Zhu et al., 2020c) remove the dense output in a detector, and instead use a Transformer (Vaswani et al., 2017) that directly predicts a set of bounding boxes.\n\nThe major difference between point-based detectors, DETR, and conventional detectors lies in the network architecture. Point-based detectors use a fully-convolutional network (Newell et al., 2016; Yu et al., 2018), usually with symmetric downsampling and upsampling layers, and pro-", "predicted": "Probabilistic two-stage detection\n\ncosts of the second stage. Our second stage makes full use\nof years of progress in two-stage detection (Cai & Vascon-\ncelos, 2018; Chen et al., 2019a) and yields a significant\nincrease in detection accuracy over one-stage baselines. It\nalso easily scales to large-vocabulary detection.\nExperiments on COCO (Lin et al., 2014), LVIS (Gupta\net al., 2019), and Objects365 (Shao et al., 2019) demon-\nstrate that our probabilistic two-stage framework boosts the\naccuracy of a strong CascadeRCNN model by 1-3 mAP,\nwhile also improving its speed. Using a standard ResNeXt-\n101-DCN backbone with a CenterNet (Zhou et al., 2019a)\nfirst stage, our detector achieves 50.2 mAP on COCO test-\ndev. With a strong Res2Net-101-DCN-BiFPN (Gao et al.,\n2019a; Tan et al., 2020b) backbone and self-training (Zoph\net al., 2020), it achieves 56.4 mAP with single-scale testing,\noutperforming all published results. Using a small DLA-\nBiFPN backbone and lower input resolution, we achieve\n49.2 mAP on COCO at 33 fps on a Titan Xp, outperforming\nthe popular YOLOv4 model (43.5 mAP at 33 fps) on the\nsame hardware. Code and models are release at https:\n//github.com/xingyizhou/CenterNet2.\n\n2. Related Work\nOne-stage detectors jointly predict an output class and\nlocation of objects densely throughout the image. Reti-\nnaNet (Lin et al., 2017b) classifies a set of predefined sliding\nanchor boxes and handles the foreground-background im-\nbalance by reweighting losses for each output. FCOS (Tian\net al., 2019) and CenterNet (Zhou et al., 2019a) elimi-\nnate the need of multiple anchors per pixel and classify\nforeground/background by location. ATSS (Zhang et al.,\n2020b) and PAA (Kim & Lee, 2020) further improve FCOS\nby changing the definition of foreground and background.\nGFL (Li et al., 2020b) and Autoassign (Zhu et al., 2020a)\nchange the hard foreground-background assignment to a\nweighted soft assignment. AlignDet (Chen et al., 2019c)\nuses a deformable convolution layer before the output to\ngather richer features for classification and regression. Rep-\nPoint (Yang et al., 2019) and DenseRepPoint (Yang et al.,\n2020) encode bounding boxes as the outline of a set of\npoints and use the features of the point set for classification.\nBorderDet (Qiu et al., 2020) pools features along the bound-\ning box for better localization. Most one-stage detectors\nhave a sound probabilistic interpretation.\nWhile one-stage detectors have achieved competitive perfor-\nmance (Zhang et al., 2020b; Kim & Lee, 2020; Zhang et al.,\n2019; Li et al., 2020b; Zhu et al., 2020a), they usually rely\non heavier separate classification and regression branches\nthan two-stage models. In fact, they are no longer faster\nthan their two-stage counterparts if the vocabulary (i.e., the\nset of object classes) is large (as in the LVIS or Objects365\ndatasets). Also, one-stage detectors only use the local fea-\nture of the positive cell for regression and classification,\nwhich is sometimes misaligned with the object (Chen et al.,\n2019c; Song et al., 2020).\nOur probabilistic two-stage framework retains the proba-\nbilistic interpretation of one-stage detectors, but factorizes\nthe probability distribution over multiple stages, improving\nboth accuracy and speed.\nTwo-stage detectors first use a region proposal network\n(RPN) to generate coarse object proposals, and then use a\ndedicated per-region head to classify and refine them. Faster-\nRCNN (Ren et al., 2015; He et al., 2017) uses two fully-\nconnected layers as the RoI heads. CascadeRCNN (Cai &\nVasconcelos, 2018) uses three cascaded stages of Faster-\nRCNN, each with a different positive threshold so that the\nlater stages focus more on localization accuracy. HTC (Chen\net al., 2019a) utilizes additional instance and semantic seg-\nmentation annotations to enhance the inter-stage feature\nflow of CascadeRCNN. TSD (Song et al., 2020) decouples\nthe classification and localization branches for each RoI.\nTwo-stage detectors are still more accurate in many set-\ntings (Gupta et al., 2019; Sun et al., 2020; Kuznetsova et al.,\n2018). Currently, all two-stage detectors use a relatively\nweak RPN that maximizes the recall of the top 1K propos-\nals, and does not utilize the proposal score at test time. The\nlarge number of proposals slows the system down, and the\nrecall-based proposal network does not directly offer the\nsame clear probabilistic interpretation as one-stage detec-\ntors. Our framework addresses this, and integrates a strong\nclass-agnostic single-stage object detector with later classi-\nfication stages. Our first stage uses fewer, but higher quality,\nregions, yielding both faster inference and higher accuracy.\nOther detectors. A family of object detectors iden-\ntify objects via points in the image. CornerNet (Law\n& Deng, 2018) detects the top-left and bottom-right cor-\nners and groups them using an embedding feature. Ex-\ntremeNet (Zhou et al., 2019b) detects four extreme points\nand groups them using an additional center point. Duan\net al. (2019) detect the center point and use it to improve\ncorner grouping. Corner Proposal Net (Duan et al., 2020)\nuses pairwise corner groupings as region proposals. Cen-\nterNet (Zhou et al., 2019a) detects the center point and\nregresses the bounding box parameters from it.\nDETR (Carion et al., 2020) and Deformable DETR (Zhu\net al., 2020c) remove the dense output in a detector, and\ninstead use a Transformer (Vaswani et al., 2017) that directly\npredicts a set of bounding boxes.\nThe major difference between point-based detectors, DETR,\nand conventional detectors lies in the network architec-\nture. Point-based detectors use a fully-convolutional net-\nwork (Newell et al., 2016; Yu et al., 2018), usually with\nsymmetric downsampling and upsampling layers, and pro-", "correct": true, "input_tokens": 1156, "output_tokens": 5390, "elapsed_seconds": 44.548677999991924, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9789, "attempts": 1, "retries": 0, "total_seconds": 44.5869}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 34, "image": "f3701711-56c0-4e6d-94ad-edbe5931b13c_png.rf.0dfe995026d12d57bfa8621b501a51c9.jpg", "expected": "Table.10 Nutrient availability after harvesting of pigeon pea (pooled data of 3 years).\n\n
Tr.TreatmentsAvailable NAvailable PAvailable KDTPA-FeDTPA-ZnDTPA-CuDTPA-Mn
Kg ha-1mgkg-1
T1Absolute control (No Fertilizers)144.536.11535.003.350.411.114.60
T2RDF only (25:50:00 NPK/ha)147.517.21539.673.390.431.134.69
T3RDF+ 25 Kg K2O/ha148.427.57558.933.520.441.154.79
T4RDF+ 50 Kg K2O/ha154.517.71560.003.520.441.224.81
T5RDF+ 25 Kg K2O/ha+ Grade I micronutrient (soil application)154.697.59562.003.580.561.325.79
T6RDF+ 50Kg K2O/ha + Grade I micronutrient (soil application)157.918.16596.003.830.581.346.11
T7RDF+ 25 Kg K2O/ha + Grade II micronutrient (0.5 % foliar spray)155.407.90592.003.590.451.265.53
T8RDF+ 50 Kg K2O/ha + Grade II micronutrient (0.5 % foliar spray)157.058.12595.003.710.451.315.70
T9RDF+ 25 Kg K2O/ha + 2 % KNO3(foliar spray)148.677.60558.003.530.421.155.51
T10RDF+ 50 Kg K2O/ha + 2 % KNO3(foliar spray)152.517.77592.673.450.431.235.54
SEm (\u00b1)1.900.4111.300.020.020.010.32
CD at 5 %5.631.2733.540.060.030.97
Grand mean152.127.57568.933.540.081.225.31
\n\n13", "predicted": "Table.10 Nutrient availability after harvesting of pigeon pea (pooled data of 3 years).\n\n
Tr.TreatmentsAvailable NAvailable PAvailable KDTPA- FeDTPA- ZnDTPA- CuDTPA- Mn
Kg ha\u207b\u00b9mgkg\u207b\u00b9
T\u2081Absolute control (No Fertilizers)144.536.11535.003.350.411.114.60
T\u2082RDF only (25:50:00 NPK/ha)147.517.21539.673.390.431.134.69
T\u2083RDF+ 25 Kg K\u2082O/ha148.427.57558.933.520.441.154.79
T\u2084RDF+ 50 Kg K\u2082O/ha154.517.71560.003.520.441.224.81
T\u2085RDF+ 25 Kg K\u2082O/ha+ Grade I micronutrient (soil application)154.697.59562.003.580.561.325.79
T\u2086RDF+ 50Kg K\u2082O/ha + Grade I micronutrient (soil application)157.918.16596.003.830.581.346.11
T\u2087RDF+ 25 Kg K\u2082O/ha + Grade II micronutrient (0.5 % foliar spray)155.407.90592.003.590.451.265.53
T\u2088RDF+ 50 Kg K\u2082O/ha + Grade II micronutrient (0.5 % foliar spray)157.058.12595.003.710.451.315.70
T\u2089RDF+ 25 Kg K\u2082O/ha + 2 % KNO\u2083(foliar spray)148.677.60558.003.530.421.155.51
T\u2081\u2080RDF+ 50 Kg K\u2082O/ha + 2 % KNO\u2083(foliar spray)152.517.77592.673.450.431.235.54
SEm (\u00b1)1.900.4111.300.020.020.010.32
CD at 5 %5.631.2733.540.060.030.97
Grand mean152.127.57568.933.540.081.225.31
\n\n13", "correct": false, "input_tokens": 1194, "output_tokens": 4177, "elapsed_seconds": 33.51828995801043, "metadata": {"question": "Transcribe all text in this document exactly and completely, in reading order, preserving casing, punctuation, currency symbols, and codes. Use an HTML table only for genuinely tabular content, mirroring its rows, columns, and merged cells; write the HTML on single lines with no indentation or blank lines between tags, and collapse horizontal alignment to a single space.", "match_method": "similarity", "score": 0.8693, "attempts": 1, "retries": 0, "total_seconds": 33.5498}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 35, "image": "c81c96a7-296d-4050-827a-f89309f7a523_png.rf.28cfadfc50dc15c7a43434f17af3489f.jpg", "expected": "will i am \nPlumbing & Heating\n\nBusiness Address \n24 Godwin House \nLondon, E2 8PH\n\n07851 499 470\n\n020 7 686 8226\n\ninfo@will-i-am-pnh.co.uk\n\nInvoice to: \nOrkun Acikgoz \nFlat 3 Pedlers Apartments, 1C Hewison \nStreet E3 2HZ\n\nInvoice No: 17065 \nDate: 12th May 2025\n\nRef: Flat 3 Pedlers Apartments, 1C Hewison \nStreet E3 2HZ\n\n
DESCRIPTIONQTYUNIT PRICETOTAL PRICE
Carried out an investigation, fault diagnosis and attempt to repair a leak going downstairs after the shower was used on 12/05/25 (2 hours on site - please refer to email for a report)2\u00a3100.00\u00a3200.00
Materials - x1 white silicone, x1 PTFE1\u00a310.78\u00a310.78
\n\n
SUBTOTAL:\u00a3210.78
20.0% S:\u00a342.16
TOTAL:\u00a3252.94
PAID:\u00a30.00
BALANCE DUE:\u00a3252.94
\n\nBank details as follows: \nBANK \u2013 HSBC \nwill i am Plumbing & Heating Limited \nSORT CODE \u2013 40-01-18 \nACCOUNT NO. - 41837478\n\n\u00a3252.94 due on 12th May 2025\n\nThank You", "predicted": "will i am\nPlumbing & Heating\n\nBusiness Address\n24 Godwin House\nLondon, E2 8PH\n07851 499 470\n020 7 686 8226\ninfo@will-i-am-pnh.co.uk\n\nInvoice to:\nOrkun Acikgoz\nFlat 3 Pedlers Apartments, 1C Hewison\nStreet E3 2HZ\n\nInvoice No: 17065\nDate: 12th May 2025\nRef: Flat 3 Pedlers Apartments, 1C Hewison\nStreet E3 2HZ\n\n\n\n\n\n
DESCRIPTIONQTYUNIT PRICETOTAL PRICE
Carried out an investigation, fault diagnosis and attempt to repair a leak going downstairs after the shower was used on 12/05/25 (2 hours on site - please refer to email for a report)2\u00a3100.00\u00a3200.00
Materials - x1 white silicone, x1 PTFE1\u00a310.78\u00a310.78
\n\nSUBTOTAL: \u00a3210.78\n20.0% S: \u00a342.16\nTOTAL: \u00a3252.94\nPAID: \u00a30.00\nBALANCE DUE: \u00a3252.94\n\nBank details as follows:\nBANK \u2013 HSBC\nwill i am Plumbing & Heating Limited\nSORT CODE \u2013 40-01-18\nACCOUNT NO. - 41837478\n\n\u00a3252.94 due on 12th May 2025\nThank You", "correct": false, "input_tokens": 1194, "output_tokens": 2137, "elapsed_seconds": 29.607080874964595, "metadata": {"question": "Transcribe all text in this document exactly and completely, in reading order, preserving casing, punctuation, currency symbols, and codes. Use an HTML table only for genuinely tabular content, mirroring its rows, columns, and merged cells; write the HTML on single lines with no indentation or blank lines between tags, and collapse horizontal alignment to a single space.", "match_method": "similarity", "score": 0.8594, "attempts": 1, "retries": 0, "total_seconds": 29.6343}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 36, "image": "b883e11d-433f-4c18-b0a5-11a0599a241b_png.rf.1efeebf4c96c16074b4f57edde37de47.jpg", "expected": "AUTORES\n\n01- ANA LUIZA BAPTISTA\n02- ANA MARA ALVES DE FREITAS\n03- AMANDA MACHADO AGUIAR\n04- ANDREA NICOLAU PASCHOAL\n05- CARLOS EDUARDO PEREIRA DE MELLO\n06- CRISTIANE HONDA\n07- DANIEL DELAZERI DE FARIA\n08- DIEGO VIEIRA DE SOUZA\n09- ILAN AKISABURO KIMURA\n10- MARIANA BOTELHO MENEGATTI\n11- MARINA PEINADO BERBERIAN\n12- MICHAEL MENDES\n13- RAFAEL DONIZETI SOUZA DE TOLEDO\n14- RAFAEL PADILLA\n15- RAFAEL SCHULIEN\n16- RENATA QUISSAK BARTELEGA PEIXOTO\n17- SILVIA RIBEIRO BROTTO\n18- THAIS NAGOSHI SUZUKI", "predicted": "AUTORES\n\n01- ANA LUIZA BAPTISTA\n02- ANA MARA ALVES DE FREITAS\n03- AMANDA MACHADO AGUIAR\n04- ANDREA NICOLAU PASCHOAL\n05- CARLOS EDUARDO PEREIRA DE MELLO\n06- CRISTIANE HONDA\n07- DANIEL DELAZERI DE FARIA\n08- DIEGO VIEIRA DE SOUZA\n09- ILAN AKISABURO KIMURA\n10- MARIANA BOTELHO MENEGATTI\n11- MARINA PEINADO BERBERIAN\n12- MICHAEL MENDES\n13- RAFAEL DONIZETI SOUZA DE TOLEDO\n14- RAFAEL PADILLA\n15- RAFAEL SCHULIEN\n16- RENATA QUISSAK BARTELEGA PEIXOTO\n17- SILVIA RIBEIRO BROTTO\n18- THAIS NAGOSHI SUZUKI", "correct": true, "input_tokens": 1176, "output_tokens": 814, "elapsed_seconds": 13.275090584065765, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 1.0, "attempts": 1, "retries": 0, "total_seconds": 13.3688}} diff --git a/results/ocr_gemini-4-argon-eap_low_20261012_223715.jsonl b/results/ocr_gemini-4-argon-eap_low_20261012_223715.jsonl deleted file mode 100644 index ad7fee3..0000000 --- a/results/ocr_gemini-4-argon-eap_low_20261012_223715.jsonl +++ /dev/null @@ -1,37 +0,0 @@ -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 0, "image": "4f770728-7b1f-4bf3-b877-e3d33fcc135d_png.rf.dffcaaeb26fd7fe4fd14891cb00a0adf.jpg", "expected": "100 Good Cookies\n1 cup white sugar 1 teaspoon baking soda\n1 cup brown sugar 1 cup quick oatmeal\n1 cup margarine 1 cup coconut\n1 cup cooking oil 1 cup Rice Krispies\n1 egg 1 cup chopped walnuts\n1 teaspoon vanilla 3\u00bd cups flour\n1 teaspoon cream of tartar 1-12oz. package mini\nchocolate chips\nMix in order given. Drop by teaspoonful onto cookie sheet. Bake at 350\u00b0 for 8-10 minutes.\n(over)", "predicted": "100 Good Cookies\n1 cup white sugar 1 teaspoon baking soda\n1 cup brown sugar 1 cup quick oatmeal\n1 cup margarine 1 cup coconut\n1 cup cooking oil 1 cup Rice Krispies\n1 egg 1 cup chopped walnuts\n1 teaspoon vanilla 3 1/2 cups flour\n1 teaspoon cream of tartar 1-12oz. package mini\n Chocolate chips\nMix in order given. Drop by teaspoonful onto\ncookie sheet. Bake at 350\u00b0 for 8-10 minutes.\n (over)", "correct": true, "input_tokens": 1163, "output_tokens": 120, "elapsed_seconds": 4.153376208967529, "metadata": {"question": "Transcribe all handwritten and printed text exactly as written, reading top to bottom and left to right, and omit nothing; mark only genuinely unreadable words as [illegible]. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9795, "attempts": 1, "retries": 0, "total_seconds": 4.1812}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 1, "image": "0de03edc-15c5-4782-a74b-7cedb1df477b_png.rf.357da74f0ffbbb05467a6069097f2740.jpg", "expected": "(1) 8 + 7 = 15 (9) 17 - 9 = 8\n(2) 15 - 6 = 9 (10) 7 + 9 = 16\n(3) 9 + 4 = 13 (11) 14 - 8 = 6\n(4) 13 - 5 = 8 (12) 5 + 6 = 11\n(5) 6 + 8 = 14 (13) 16 - 7 = 9\n(6) 5 + 9 = 14 (14) 3 + 7 = 10", "predicted": "(1) 8 + 7 = 15 (9) 17 - 9 = 8\n(2) 15 - 6 = 9 (10) 7 + 9 = 16\n(3) 9 + 4 = 13 (11) 14 - 8 = 6\n(4) 13 - 5 = 8 (12) 5 + 6 = 11\n(5) 6 + 8 = 14 (13) 16 - 7 = 9\n(6) 5 + 9 = 14 (14) 3 + 7 = 10", "correct": true, "input_tokens": 1178, "output_tokens": 158, "elapsed_seconds": 3.837110082968138, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 1.0, "attempts": 1, "retries": 0, "total_seconds": 3.8516}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 2, "image": "861cb64d-800a-4635-999c-739199f8b473_png.rf.2dfcae9315498e5af9851962b9b1b65d.jpg", "expected": "2516 Country Club Rd.\nWinston Salem NC 27104\nJuly 17, 1981\n\nDr T S Osdene\nDirector of Research and Scientific Affairs\nPHILIP MORRIS USA\nResearch Center\nP.O Box 26583\nRichmond VA 23261\n\nDear Tom \u2014\n\nRe MDA NO/NOx Field Kit\n\nMDA requires prepayment before shipment\nof materials to private individuals. Accordingly\nI mailed check for $2505.00 for Kit yesterday.\nCopies for verification are enclosed. I presume\nthis will suffice to reimburse me.\n\nAs soon as MDA receives check, presumably\nJuly 20, Kit will be shipped to me by UPS and\nI will immediately trans ship by UPS to\nyou.\n\nCongrats on the birth of your son. Best wishes\nto Mrs Osdene and you.\n\n\u03a6000018736\n\nSincerely\nMurray", "predicted": "2516 Country Club Rd.\nWinston Salem NC 27104\nJuly 17, 1981\n\nDr T S Osdene\nDirector of Research and Scientific Affairs\nPHILIP MORRIS USA\nResearch Center\nP.O Box 26583\nRichmond VA 23261\n\nDear Tom -\n\nRe MDA NO/NOx Field Kit\n\nMDA requires prepayment before shipment\nof materials to private individuals. Accordingly\nI mailed check for $2505.00 for kit yesterday.\nCopies for verification are enclosed. I presume\nthis will suffice to reimburse me.\n\nAs soon as MDA receives check, presumably\nJuly 20, kit will be shipped to me by UPS and\nI will immediately trans ship by UPS to\nyou.\n\nCongrats on the birth of your son. Best wishes\nto Mrs Osdene and you. 1000018736\n\nSincerely\nMurray", "correct": true, "input_tokens": 1161, "output_tokens": 207, "elapsed_seconds": 4.543883583042771, "metadata": {"question": "Transcribe all handwritten and printed text exactly as written, reading top to bottom and left to right, and omit nothing; mark only genuinely unreadable words as [illegible]. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9911, "attempts": 1, "retries": 0, "total_seconds": 4.5609}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 3, "image": "bfe2208e-9dcb-4273-9781-be20d0ae766a_png.rf.2506b1cf22374cc1de2823bf766ef968.jpg", "expected": "Ent 103326 Bk 331 Pg 470\nDate: 20-JUN-2006 2:28PM\nORDINANCE NO. CO-06-5 Fee: None\nFiled By: AKT\nBRENDA NELSON, Recorder\nMORGAN COUNTY\nAN ORDINANCE ADOPTING THE STATE WILDLIFE RESOURCES CODE\nFOR MORGAN COUNTY.\n\nWHEREAS, the Morgan County Sheriff's Office is charged with the enforcement of\nregulations and laws relating to wildlife resources within Morgan County; and\n\nWHEREAS, in the course of the Sheriff's enforcement duties it is often necessary to cite\nindividuals for violations of the various state rules regulating wildlife resources; and\n\nWHEREAS, Morgan County would like to cite violators for county ordinance violations\nrather than state code violations since violators are processed by county enforcement officers,\nprosecuted in county courts by county prosecutors, and incarcerated, if necessary, in county jails;\n\nNOW THEREFOR, the County Council of Morgan County, State of Utah, hereby\nordains as follows:\n\nWILDLIFE RESOURCES ORDINANCE\n\nSection 1. Adoption of the Utah wildlife resources Code, Rules and Regulations\n\nThe Rules and Regulations contained in Utah Code Annotated Title 23, as amended, and the\nRules promulgated thereunder, are hereby adopted as the wildlife resources Code, Rules and\nRegulations of Morgan County. Any provisions of Title 23 providing a penalty greater than a\nClass B misdemeanor, or not relating to criminal or administrative sanctions, are not incorporated\nas part of this ordinance.\n\nSection 2. Amendments\n\nIn order to assure continuing uniformity between the Utah wildlife resources Rules and\nRegulations and the Morgan County wildlife resources Rules and Regulations, this Ordinance\nwill include any and all periodic amendments to the State Rules and Regulations, Title 23, after\nthe effective date of this title, made by the Utah State Legislature or by the Utah Department of\nNatural Resources.\n\nSection 3. Effective Date\n\nThis ordinance shall take effect 15 days after passage, after required publication and after a copy\nof the ordinance is deposited with the Morgan County Clerk's Office.\n\nAPPROVED, ADOPTED, AND PASSED and ordered published by the Morgan County\nCouncil, this 6th day of June, 2006.", "predicted": "Ent 103326 Bk 231 Pg 470\n Date: 20-JUN-2006 2:28PM\n ORDINANCE NO. CO-06-9\n Fee: None\n Filed By: AKT\n BRENDA NELSON, Recorder\n MORGAN COUNTY\n AN ORDINANCE ADOPTING THE STATE WILDLIFE RESOURCES CODE\n For: MORGAN COUNTY\n FOR MORGAN COUNTY.\n\n WHEREAS, the Morgan County Sheriff's Office is charged with the enforcement of\nregulations and laws relating to wildlife resources within Morgan County; and\n\n WHEREAS, in the course of the Sheriff's enforcement duties it is often necessary to cite\nindividuals for violations of the various state rules regulating wildlife resources; and\n\n WHEREAS, Morgan County would like to cite violators for county ordinance violations\nrather than state code violations since violators are processed by county enforcement officers,\nprosecuted in county courts by county prosecutors, and incarcerated, if necessary, in county jails;\n\n NOW THEREFOR, the County Council of Morgan County, State of Utah, hereby\nordains as follows:\n\n\n WILDLIFE RESOURCES ORDINANCE\n\n\nSection 1. Adoption of the Utah wildlife resources Code, Rules and Regulations\n\nThe Rules and Regulations contained in Utah Code Annotated Title 23, as amended, and the\nRules promulgated thereunder, are hereby adopted as the wildlife resources Code, Rules and\nRegulations of Morgan County. Any provisions of Title 23 providing a penalty greater than a\nClass B misdemeanor, or not relating to criminal or administrative sanctions, are not incorporated\nas part of this ordinance.\n\nSection 2. Amendments\n\nIn order to assure continuing uniformity between the Utah wildlife resources Rules and\nRegulations and the Morgan County wildlife resources Rules and Regulations, this Ordinance\nwill include any and all periodic amendments to the State Rules and Regulations, Title 23, after\nthe effective date of this title, made by the Utah State Legislature or by the Utah Department of\nNatural Resources.\n\nSection 3. Effective Date\n\nThis ordinance shall take effect 15 days after passage, after required publication and after a copy\nof the ordinance is deposited with the Morgan County Clerk's Office.\n\n\n APPROVED, ADOPTED, AND PASSED and ordered published by the Morgan County\nCouncil, this 6th day of June , 2006.", "correct": true, "input_tokens": 1168, "output_tokens": 480, "elapsed_seconds": 7.1937762080924585, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9817, "attempts": 1, "retries": 0, "total_seconds": 7.2245}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 4, "image": "d6b410b8-2381-4e65-8113-2dbcca295990_png.rf.794671b291d105d363ebd6d8d93b3fc8.jpg", "expected": "THIS SENTENCE WAS WRITTEN BY SOMEONE WITH DYSGRAPHIA", "predicted": "[model returned no content]", "correct": false, "input_tokens": 1181, "output_tokens": 19, "elapsed_seconds": 2.3924927919870242, "metadata": {"question": "Transcribe all handwritten and printed text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.0577, "attempts": 1, "retries": 0, "total_seconds": 2.4052}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 5, "image": "9c225ac4-3b44-42cf-a0dc-4a3984c5bac9_png.rf.1455a695dcdb15839a0deb51bf270c04.jpg", "expected": "When I built menugen ~1 year ago, I observed that the hardest part by far was not the code itself, it was the plethora of services you have to assemble like IKEA furniture to make it real, the DevOps: services, payments, auth, database, security, domain names, etc...\n\nI am really looking forward to a day where I could simply tell my agent: \"build menugen\" (referencing the post) and it would just work. The whole thing up to the deployed web page. The agent would have to browse a number of services, read the docs, get all the api keys, make everything work, debug it in dev, and deploy to prod. This is the actually hard part, not the code itself. Or rather, the better way to think about it is that the entire DevOps lifecycle has to become code, in addition to the necessary sensors/actuators of the CLIs/APIs with agent-native ergonomics. And there should be no need to visit web pages, click buttons, or anything like that for the human.\n\nIt's easy to state, it's now just barely technically possible and expected to work maybe, but it definitely requires from-scratch re-design, work and thought. Very exciting direction!", "predicted": "Andrej Karpathy\n@karpathy\n\nWhen I built menugen ~1 year ago, I observed that the hardest part by far was not the code itself, it was the plethora of services you have to assemble like IKEA furniture to make it real, the DevOps: services, payments, auth, database, security, domain names, etc...\n\nI am really looking forward to a day where I could simply tell my agent: \"build menugen\" (referencing the post) and it would just work. The whole thing up to the deployed web page. The agent would have to browse a number of services, read the docs, get all the api keys, make everything work, debug it in dev, and deploy to prod. This is the actually hard part, not the code itself. Or rather, the better way to think about it is that the entire DevOps lifecycle has to become code, in addition to the necessary sensors/actuators of the CLIs/APIs with agent-native ergonomics. And there should be no need to visit web pages, click buttons, or anything like that for the human.\n\nIt's easy to state, it's now just barely technically possible and expected to work maybe, but it definitely requires from-scratch re-design, work and thought. Very exciting direction!\n\u7ffb\u8bd1\u5e16\u5b50", "correct": true, "input_tokens": 1173, "output_tokens": 274, "elapsed_seconds": 4.97481216606684, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom, keeping each author's handle with their message, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the top-level tweet authored by Andrej Karpathy (@karpathy).", "match_method": "similarity", "score": 0.9725, "attempts": 1, "retries": 0, "total_seconds": 4.9891}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 6, "image": "9fdae0ac-7d89-45f1-b628-bcdbac72c185_png.rf.7b62d1c22ac071a0003f46d2feaae5e5.jpg", "expected": "```javascript\nconst BROWSER_APP_NAMES = new Set([\n \"google chrome\",\n \"google chrome canary\",\n \"chromium\",\n \"microsoft edge\",\n \"mozilla firefox\",\n \"firefox\",\n \"opera\",\n \"brave browser\",\n \"vivaldi\",\n \"arc\",\n]);\n```", "predicted": "```javascript\nconst BROWSER_APP_NAMES = new Set([\n \"google chrome\",\n \"google chrome canary\",\n \"chromium\",\n \"microsoft edge\",\n \"mozilla firefox\",\n \"firefox\",\n \"opera\",\n \"brave browser\",\n \"vivaldi\",\n \"arc\",\n]);\n```", "correct": false, "input_tokens": 1219, "output_tokens": 80, "elapsed_seconds": 3.920031457906589, "metadata": {"question": "Transcribe every piece of text in this screenshot exactly as written, in reading order, and omit nothing. Put source code inside fenced code blocks, preserving indentation, quotes, and casing exactly, and transcribe surrounding interface text as Markdown. Transcribe only the definition of the `BROWSER_APP_NAMES` constant shown in the code editor, and ignore all other code, the editor chrome, file tabs, sidebars, and the terminal.", "match_method": "similarity", "score": 0.9107, "attempts": 1, "retries": 0, "total_seconds": 3.9442}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 7, "image": "5cf55f37-8adb-4adb-9520-148340548028_png.rf.d09a7340877434f1cbdb25f1eccd4774.jpg", "expected": "TOM GREEN HANDYMAN\n5 Any Street, Any City, That Area Code\nTelephone: 0800 XXX XXX\n\nDate : 6/5/2016\nInvoice No : 0003521\nTax Registered No 123456\n\nMr and Mrs Fielding\nThis Address\nThis City\nThis Area Code\n\nTAX INVOICE\n\n
QuantityDescriptionUnit PriceCost
Upgrade to Bathroom
23.75Labour40.00950.00
50Nails and screws0.8040.00
1Paint and Plywood1000.001000.00
40Imported wall tiles14.00560.00
1Freight150.00150.00
1Sub-contractor : Tile-It228.00
Subtotal2928.00
Tax439.20
Total Due$3,367.20
\n\nPayment due by the 10th of the month following the date of invoice.\nPlease make payment into Bank Account No. 12 3456 789112 012\n\nInterest of 10% per year will be charged on late payments.\n\nCut here\n\nRemittance\n\nMr and Mrs Fielding\n\nTOM GREEN HANDYMAN\n5 Any Street\nAny City\nThat Area Code\n\nAmount Due $3,367.20\nAmount Paid ______", "predicted": "**TOM GREEN HANDYMAN**\n**5 Any Street, Any City, That Area Code**\n**Telephone: 0800 XXX XXX**\n\n**Date :** 6/5/2016 **Invoice No :** 0003521\n\n**Tax Registered No 123456**\n\nMr and Mrs Fielding\nThis Address\nThis City\nThis Area Code\n\n**T A X I N V O I C E**\n\n
QuantityDescriptionUnit PriceCost
Upgrade to Bathroom
23.75Labour40.00950.00
50Nails and screws0.8040.00
1Paint and Plywood1000.001000.00
40Imported wall tiles14.00560.00
1Freight150.00150.00
1Sub-contractor : Tile-It228.00
Subtotal2928.00
Tax439.20
Total Due$3,367.20
\n\nPayment due by the 10th of the month following the date of invoice.\nPlease make payment into Bank Account No. **12 3456 789112 012**\n\nInterest of 10% per year will be charged on late payments.\n\n---\n**Cut here**\n**Remittance**\n**Mr and Mrs Fielding**\nTOM GREEN HANDYMAN\n5 Any Street **Amount Due $3,367.20**\nAny City\nThat Area Code **Amount Paid** \\_\\_\\_\\_\\_\\_\\_\\_\\_\\_", "correct": false, "input_tokens": 1194, "output_tokens": 473, "elapsed_seconds": 6.474449582980014, "metadata": {"question": "Transcribe all text in this document exactly and completely, in reading order, preserving casing, punctuation, currency symbols, and codes. Use an HTML table only for genuinely tabular content, mirroring its rows, columns, and merged cells; write the HTML on single lines with no indentation or blank lines between tags, and collapse horizontal alignment to a single space.", "match_method": "similarity", "score": 0.8669, "attempts": 1, "retries": 0, "total_seconds": 6.4879}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 8, "image": "1bce4a54-e6bc-4752-b48e-d9889895936a_png.rf.6f12b4139eeac41161f2fb59dad48237.jpg", "expected": "I run hermes handling whatsapp, email, cron jobs, building apps, outreaching customers, outbound and inbound calls \u2014 the whole thing. hasn't needed babysitting in weeks. if you're on the fence just try it. worst case you go back. but I don't think you will", "predicted": "Falcon @Falconve_ \u00b7 6\u5c0f\u65f6\nI run hermes handling whatsapp, email, cron jobs, building apps, outreaching customers, outbound and inbound calls \u2014 the whole thing. hasn't needed babysitting in weeks. if you're on the fence just try it. worst case you go back. but I don't think you will", "correct": false, "input_tokens": 1159, "output_tokens": 76, "elapsed_seconds": 3.906180249992758, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom, keeping each author's handle with their message, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the last (bottom-most) tweet in the thread by Falcon (@Falconve_).", "match_method": "similarity", "score": 0.9143, "attempts": 1, "retries": 0, "total_seconds": 3.9377}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 9, "image": "eb592312-33c0-41ff-91ec-6e87ad25f12e_png.rf.ad80ac2d57c33733bd20600e13e312f3.jpg", "expected": "(SAE09TR.72) A 13-year-old girl sustained an isolated midshaft left femoral fracture in a motor vehicle accident. The fracture was treated with a rigid, antegrade intramedullary nail placed through the piriformis fossa. The fracture healed uneventfully, as shown in Figure 46a; however, at 12 months postoperatively she now reports left hip pain. A current AP radiograph and MRI scan are shown in Figures 46b and 46c. What complication occurred in this patient? Review Topic\n\n1 Chondrolysis\n2 Ischemic necrosis of the femoral head\n3 Ischemic necrosis of the greater trochanter\n4 Femoral neck fracture\n5 Trochanteric overgrowth\n\nPREFERRED RESPONSE 2\n\nThe development of femoral head ischemic necrosis is the iatrogenically created complication in this skeletally immature patient. Placement of a rigid, antegrade intramedullary nail through the piriformis fossa is likely to damage the vascular supply to the femoral head as the vessels ascend the femoral neck on the way to the femoral head. The MRI scan reveals ischemic necrosis with early collapse of the femoral head. The joint space is preserved on the MRI scan, ruling out chondrolysis.\n\n(SAE08OS.196) An adult patient has had low-grade fevers, malaise, and joint pain for the past several days. Examination reveals an erythematous \"bulls eye\" rash over the right thigh (erythema migrans). What is the organism associated with this infection? Review Topic", "predicted": "(SAE09TR.72) A 13-year-old girl sustained an isolated midshaft left femoral fracture in a motor vehicle accident. The fracture was treated with a rigid, antegrade intramedullary nail placed through the piriformis fossa. The fracture healed uneventfully, as shown in Figure 46a; however, at 12 months postoperatively she now reports left hip pain. A current AP radiograph and MRI scan are shown in Figures 46b and 46c. What complication occurred in this patient? Review Topic\n\n*1* Chondrolysis\n*2* Ischemic necrosis of the femoral head\n*3* Ischemic necrosis of the greater trochanter\n*4* Femoral neck fracture\n*5* Trochanteric overgrowth\n\n\nPREFERRED RESPONSE 2\n\nThe development of femoral head ischemic necrosis is the iatrogenically created complication in this skeletally immature patient. Placement of a rigid, antegrade intramedullary nail through the piriformis fossa is likely to damage the vascular supply to the femoral head as the vessels ascend the femoral neck on the way to the femoral head. The MRI scan reveals ischemic necrosis with early collapse of the femoral head. The joint space is preserved on the MRI scan, ruling out chondrolysis.\n\n\n(SAE08OS.196) An adult patient has had low-grade fevers, malaise, and joint pain for the past several days. Examination reveals an erythematous \"bulls eye\" rash over the right thigh (erythema migrans). What is the organism associated with this infection? Review Topic", "correct": true, "input_tokens": 1169, "output_tokens": 334, "elapsed_seconds": 5.700265709077939, "metadata": {"question": "Transcribe every piece of text in this image exactly as written, in reading order, preserving question and option numbering, and omit nothing. Write mathematical expressions in LaTeX and format the result as Markdown that mirrors the layout.", "match_method": "similarity", "score": 0.9916, "attempts": 1, "retries": 0, "total_seconds": 5.7367}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 10, "image": "c50bed4d-e825-46b7-ac5c-a84806fa0481_png.rf.dbad52cae24c6759d646ebb0ad6c30a3.jpg", "expected": "```python\nimport random\n\ndef roll_dice(n=2, sides=6):\n return [random.randint(1, sides) for _ in range(n)]\n\ndef magic_8ball():\n responses = [\n \"Yes\", \"No\", \"Maybe\", \"Ask again later\",\n \"Absolutely\", \"No way\", \"Signs point to yes\",\n \"Don't count on it\", \"Without a doubt\",\n ]\n return random.choice(responses)\n\nif __name__ == \"__main__\":\n print(f\"Rolling 2 dice: {roll_dice()}\")\n print(f\"Magic 8-Ball says: {magic_8ball()}\")\n print(f\"Your lucky number: {random.randint(1, 100)}\")\n```", "predicted": "```python\nimport random\n\ndef roll_dice(n=2, sides=6):\n return [random.randint(1, sides) for _ in range(n)]\n\ndef magic_8ball():\n responses = [\n \"Yes\", \"No\", \"Maybe\", \"Ask again later\",\n \"Absolutely\", \"No way\", \"Signs point to yes\",\n \"Don't count on it\", \"Without a doubt\",\n ]\n return random.choice(responses)\n\nif __name__ == \"__main__\":\n print(f\"Rolling 2 dice: {roll_dice()}\")\n print(f\"Magic 8-Ball says: {magic_8ball()}\")\n print(f\"Your lucky number: {random.randint(1, 100)}\")\n```", "correct": true, "input_tokens": 1171, "output_tokens": 180, "elapsed_seconds": 8.793039166019298, "metadata": {"question": "Transcribe every piece of text in this screenshot exactly as written, in reading order, and omit nothing. Put source code inside fenced code blocks, preserving indentation, quotes, and casing exactly, and transcribe surrounding interface text as Markdown. Transcribe only the code shown in the editor pane, ignoring the editor chrome, file tabs, sidebars, and the line-number gutter.", "match_method": "similarity", "score": 1.0, "attempts": 1, "retries": 0, "total_seconds": 8.9099}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 11, "image": "d0980bab-2f15-4550-b3e6-813a2ad7e709_png.rf.4002baedf14c91e52686c70ec58fd7f0.jpg", "expected": "Example 3 (HW)\nEach of the numbers 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 is written\non a separate piece of paper. The 10 pieces of paper\nare then placed in a hat. If one piece of paper is\nselected at random from hat, estimate the probability\nthat:\n(i) the number written on piece of paper is an even\nnumber or greater than 6.\n(ii) the number written on piece of paper is less than 5\nor greater than 8.\n(iii) the number written on piece of paper is divisible by 4.\n(iv) the \" \" \" \" \" \" \" at least 7.\n(v) \" \" \" \" \" \" \" at most 3.", "predicted": "Example 3 (HW)\nEach of the numbers 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 is written\non a separate piece of paper. The 10 pieces of paper\nare then placed in a hat. If one piece of paper is\nselected at random from hat, estimate the probability\nthat:\n(i) the number written on piece of paper is an even\n number or greater than 6.\n(ii) the number written on piece of paper is less than 5\n or greater than 8.\n(iii) the number written on piece of paper is divisible by 4.\n(iv) the \" \" \" \" \" \" \" at least 7.\n(v) \" \" \" \" \" \" \" \" at most 3.\nCS Scanned with CamScanner", "correct": false, "input_tokens": 1180, "output_tokens": 192, "elapsed_seconds": 4.89382483297959, "metadata": {"question": "Transcribe all handwritten and printed text exactly as written, reading top to bottom and left to right, and omit nothing; mark only genuinely unreadable words as [illegible]. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9436, "attempts": 1, "retries": 0, "total_seconds": 4.9533}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 12, "image": "00099ca8-7388-4ccb-a9ae-0def0f38e1d4_png.rf.87454ebaa2a188c18aadac0664ef70f6.jpg", "expected": "I'm losing so much money every single second I dont spend in the states. Every day I wake up, I'm hyperventilating about the fact that I am irresponsibly putting my young family's future at great risk because I can't but help listen to my gut. I am filled with doubt every day", "predicted": "kache @yacineMTB \u00b7 9\u5c0f\u65f6\nI'm losing so much money every single second I dont spend in the states. Every day I wake up, I'm hyperventilating about the fact that I am irresponsibly putting my young family's future at great risk because I can't but help listen to my gut. I am filled with doubt every day\n\nstainlesssteelcockroach @stainle55446702 \u00b7 10\u5c0f\u65f6\n\u56de\u590d @yacineMTB\nYou would like it down south as well. Where engineers are honored as the future.....\n\n40 1 248 2.5\u4e07\n\nkache @yacineMTB \u00b7 9\u5c0f\u65f6\nEvery time my friends tell me about the random 2 million dollar equity bonus they got, I am staring into the devil's eyes. I can't do it. It's not what Jesus would do\n\n4 61 3,873\n\nFirst tweet by kache (@yacineMTB):\nI'm losing so much money every single second I dont spend in the states. Every day I wake up, I'm hyperventilating about the fact that I am irresponsibly putting my young family's future at great risk because I can't but help listen to my gut. I am filled with doubt every day", "correct": false, "input_tokens": 1188, "output_tokens": 286, "elapsed_seconds": 5.264299041940831, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom, keeping each author's handle with their message, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the first tweet by kache (@yacineMTB).", "match_method": "similarity", "score": 0.2822, "attempts": 1, "retries": 0, "total_seconds": 5.2783}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 13, "image": "838b00ad-2a6d-4bc7-84a3-d3cb3e6fdfb8_png.rf.86b85c55a59bba487946e192adc78406.jpg", "expected": "The French Revolution began in 1789 in France and was caused by several political, social, and economic factors. One major cause was the inequality in the social structure known as the Estates System, where the clergy and nobility enjoyed privileges while the common people had to pay heavy taxes. Another cause was the financial crisis faced by the monarchy due to wars and extravagant spending by Louis XVI and the royal court.\n\nThe influence of Enlightenment thinkers also played a significant role. Philosophers like Jean-Jacques Rousseau and Voltaire promoted ideas of liberty, equality, and popular sovereignty. These ideas encouraged people to question the authority of the monarchy.\n\nThe revolution had major effects on French society and politics. The monarchy was abolished, and France eventually became a republic. The revolution led to the Reign of Terror, during which many people were executed. In the long term, the revolution spread the ideals of liberty, equality, and fraternity across Europe and influenced many future democratic movements.", "predicted": "The French Revolution began in 1789 in France and was caused by several political, social, and economic factors. One major cause was the\ninequality in the social structure known as the Estates System, where the clergy and nobility enjoyed privileges while the common people had\nto pay heavy taxes. Another cause was the financial crisis faced by the monarchy due to wars and extravagant spending by Louis XVI and the\nroyal court.\n\nThe influence of Enlightenment thinkers also played a significant role. Philosophers like Jean-Jacques Rousseau and Voltaire promoted ideas\nof liberty, equality, and popular sovereignty. These ideas encouraged people to question the authority of the monarchy.\n\nThe revolution had major effects on French society and politics. The monarchy was abolished, and France eventually became a republic. The\nrevolution led to the Reign of Terror, during which many people were executed. In the long term, the revolution spread the ideals of\nliberty, equality, and fraternity across Europe and influenced many future democratic movements.", "correct": true, "input_tokens": 1140, "output_tokens": 203, "elapsed_seconds": 4.443502917070873, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9943, "attempts": 1, "retries": 0, "total_seconds": 4.4543}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 14, "image": "efe6537c-b164-43c1-8a9b-a329c7b96ec1_png.rf.96d23b9a67c8c503dd57cc8ddb11363b.jpg", "expected": "Clinical Nurse Manager Sep 2012 \u2013 Jul 2014\nBarron Center \u2013 Portland, ME\nManaged nursing operations on a 26-bed skilled rehabilitation unit, ensuring effective clinical care delivery.\n\u2022 Supervised nursing staff performance and provided ongoing competency evaluations.\n\u2022 Developed individualized care plans in collaboration with physicians and rehabilitation teams.\n\u2022 Implemented policies and procedures to meet regulatory and accreditation requirements.\n\nRegistered Nurse, Medical-Surgical Unit (Float Pool) Jun 2012 \u2013 Sep 2012\nMercy Hospital \u2013 Portland, ME\nProvided direct patient care within medical-surgical units, ensuring safe and effective treatment delivery.\n\u2022 Performed comprehensive physical assessments and monitored patient progress.\n\u2022 Administered medications and documented interventions per hospital protocols.\n\u2022 Collaborated with multidisciplinary teams to coordinate and plan care.\n\nEDUCATION, CERTIFICATIONS & LICENSURE\n\nBachelor of Science in Nursing (BSN)\nWestern Governors University, Salt Lake City, UT | Graduated January 2019\n\nAssociate of Science in Nursing (ASN)\nCollege of Nursing and Health Professions, Lewiston, ME | Graduated May 2010\n\nCertifications & Licensure\n\u2022 Registered Nurse (RN License #R057634) \u2013 State of Maine\n\u2022 Basic Life Support (BLS) \u2013 Current through December 2027\n\u2022 Educated in: Accountable Care Organizations (ACOs), Patient-Driven Payment Model (PDPM)\n\u2022 Clinical Systems Proficiency: Cerner / PowerChart, EPIC, Quantum, PointClickCare\n\u2022 Utilization Review Tools: InterQual, NaviHealth, CarePort\n\u2022 Analytics & Administrative Systems: Salesforce, Tableau, Microsoft Excel & PowerPoint, ADP, SAP Concur\n\nSKILLS & ADDITIONAL INFORMATION\n\nTechnical Skills\n\u2022 Clinical Systems & EMRs: Cerner / PowerChart, EPIC, Quantum, PointClickCare\n\u2022 Utilization Management Tools: InterQual, NaviHealth, CarePort\n\u2022 Data & Analytics Platforms: Tableau, Salesforce\n\u2022 Productivity Software: Microsoft Office Suite (Excel, PowerPoint, Word, Outlook)\n\u2022 Administrative Systems: ADP, SAP Concur\n\u2022 Quality & Compliance Tools: Electronic Health Record Audit Systems, Core Measure Review PlatformDedicated and results-\ndriven Recruiter/Talent Acquisition Specialist.\n\nPersonal Strengths\n\u2022 Strong leadership and team mentorship abilities\n\u2022 Critical thinking and complex problem-solving\n\u2022 Effective interdisciplinary communication and collaboration\n\u2022 Process improvement and workflow optimization\n\u2022 Independent and solution-focused decision-making\n\u2022 High attention to detail and documentation accuracy\n\u2022 Adaptable to evolving healthcare technologies and remote environments\n\u2022 Empathetic approach to patient advocacy and care coordination\n\nReferences are available upon request", "predicted": "Clinical Nurse Manager Sep 2012 \u2013 Jul 2014\n Barron Center \u2013 Portland, ME\n Managed nursing operations on a 26-bed skilled rehabilitation unit, ensuring effective clinical care delivery.\n \u2022 Supervised nursing staff performance and provided ongoing competency evaluations.\n \u2022 Developed individualized care plans in collaboration with physicians and rehabilitation teams.\n \u2022 Implemented policies and procedures to meet regulatory and accreditation requirements.\n\n Registered Nurse, Medical-Surgical Unit (Float Pool) Jun 2012 \u2013 Sep 2012\n Mercy Hospital \u2013 Portland, ME\n Provided direct patient care within medical-surgical units, ensuring safe and effective treatment delivery.\n \u2022 Performed comprehensive physical assessments and monitored patient progress.\n \u2022 Administered medications and documented interventions per hospital protocols.\n \u2022 Collaborated with multidisciplinary teams to coordinate and plan care.\n\n EDUCATION, CERTIFICATIONS & LICENSURE\n\n Bachelor of Science in Nursing (BSN)\n Western Governors University, Salt Lake City, UT | Graduated January 2019\n\n Associate of Science in Nursing (ASN)\n College of Nursing and Health Professions, Lewiston, ME | Graduated May 2010\n\n Certifications & Licensure\n \u2022 Registered Nurse (RN License #R057634) \u2013 State of Maine\n \u2022 Basic Life Support (BLS) \u2013 Current through December 2027\n \u2022 Educated in: Accountable Care Organizations (ACOs), Patient-Driven Payment Model (PDPM)\n \u2022 Clinical Systems Proficiency: Cerner / PowerChart, EPIC, Quantum, PointClickCare\n \u2022 Utilization Review Tools: InterQual, NaviHealth, CarePort\n \u2022 Analytics & Administrative Systems: Salesforce, Tableau, Microsoft Excel & PowerPoint, ADP, SAP Concur\n\n SKILLS & ADDITIONAL INFORMATION\n\n Technical Skills\n \u2022 Clinical Systems & EMRs: Cerner / PowerChart, EPIC, Quantum, PointClickCare\n \u2022 Utilization Management Tools: InterQual, NaviHealth, CarePort\n \u2022 Data & Analytics Platforms: Tableau, Salesforce\n \u2022 Productivity Software: Microsoft Office Suite (Excel, PowerPoint, Word, Outlook)\n \u2022 Administrative Systems: ADP, SAP Concur\n \u2022 Quality & Compliance Tools: Electronic Health Record Audit Systems, Core Measure Review PlatformDedicated and results-\n driven Recruiter/Talent Acquisition Specialist.\n\n Personal Strengths\n \u2022 Strong leadership and team mentorship abilities\n \u2022 Critical thinking and complex problem-solving\n \u2022 Effective interdisciplinary communication and collaboration\n \u2022 Process improvement and workflow optimization\n \u2022 Independent and solution-focused decision-making\n \u2022 High attention to detail and documentation accuracy\n \u2022 Adaptable to evolving healthcare technologies and remote environments\n \u2022 Empathetic approach to patient advocacy and care coordination\n\n References are available upon request", "correct": true, "input_tokens": 1178, "output_tokens": 554, "elapsed_seconds": 7.577705124975182, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9846, "attempts": 1, "retries": 0, "total_seconds": 7.5958}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 15, "image": "e21e8de4-67cb-4b99-acaf-7c73dc28df9f_png.rf.c9c271f7c9fe67f7186ee45aebf42a40.jpg", "expected": "ACS PLUS\n\nADVERTISING COMMUNICATION SERVICES\n\nBloc 17 App 233 1003 Cit\u00e9 les Olympiades\n\nTEL 71 771 324 FAX 71 770 682\n\nCode TVA1243006M/A/M/000\n\nEmail: acs.info@topnet.tn\n\nDEVIS N\u00b0 89-24\n\nClient: IEEE\n\nCode TVA:\n\nAdresse:\n\nT\u00e9l: Fax:\n\nTunis le 12/04/24\n\nCCB : 03210119011500465159A BNA KHERREDINE PACHA\n\n
R\u00e9f\u00e9renceD\u00e9signationQuantit\u00e9P. U.T.V.A.P.H.T.
Rollup 2 x 0,851170.00019%170.000
Pins1201.40019%168.000
Affiche A4 120 g impression R/V301.00019%30.000
Total H.T.368.000
Remise
Total HT368.000
\n\n
Total T.V.A. 10%
Total T.V.A. 7%
Total T.V.A. 19%69.920
Total T.V.A. 29%
Timbre Fiscal1.000
Total T.T.C.438.920
\n\n,\n\nArr\u00eat\u00e9 le pr\u00e9sent devis \u00e0 la somme de:\n\nDIRECTION COMMERCIALE", "predicted": "# ACS PLUS\nADVERTISING COMMUNICATION SERVICES\n---\nBloc 17 App 233 1003 Cit\u00e9 les Olympiades\nTEL 71 771 324 FAX 71 770 682\nCode TVA1243006M/A/M/000\nEmail: acs.info@topnet.tn\n\n# DEVIS N\u00b0 89-24\n\nClient: IEEE\nCode TVA:\nAdresse:\nT\u00e9l: Fax:\n\nTunis le 12/04/24\n\nCCB: 03210119011500465159A BNA KHERREDINE PACHA\n
R\u00e9f\u00e9renceD\u00e9signationQuantit\u00e9P. U.T.V.A.P.H.T.
Rollup 2 x 0,851170.00019%170.000
Pins1201.40019%168.000
Affiche A4 120 g impression R/V301.00019%30.000
\n\n
Total H.T.368.000
Remise
Total HT368.000
\n\n
Total T.V.A. 10%
Total T.V.A. 7%
Total T.V.A. 19%69.920
Total T.V.A. 29%
Timbre Fiscal1.000
Total T.T.C.438.920
\n\n,\nArr\u00eat\u00e9 le pr\u00e9sent devis \u00e0 la somme de:\n\nDIRECTION COMMERCIALE", "correct": false, "input_tokens": 1194, "output_tokens": 504, "elapsed_seconds": 5.933761624968611, "metadata": {"question": "Transcribe all text in this document exactly and completely, in reading order, preserving casing, punctuation, currency symbols, and codes. Use an HTML table only for genuinely tabular content, mirroring its rows, columns, and merged cells; write the HTML on single lines with no indentation or blank lines between tags, and collapse horizontal alignment to a single space.", "match_method": "similarity", "score": 0.8872, "attempts": 1, "retries": 0, "total_seconds": 5.941}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 16, "image": "280f2634-897d-499e-9e0e-2426fb6ed193_png.rf.de84ffe2f1cd78e0c4f16f319320c449.jpg", "expected": "Deloitte.\n\nDeloitte Touche Tohmatsu\nIndia LLP\nPrestige Trade Tower, Level 19\n46, Palace Road, High Grounds\nBengaluru - 560 001\nKarnataka, India\n\nTel: +91 80 6188 6000\nFax: +91 80 6188 6011\nwww.deloitte.com\n\nStrictly Private and Confidential\n\nDate: 8 July, 2025\n\nFlipkart Internet Private Limited\nAlyssa Begonia and Clover,\nEmbassy Tech Village ORR,\nDevarabeesanahalli Village,\nVarthur Hobli, Bangalore - 560103, Karnataka\n\nKind Attention: Mr. Kamal Chopra\n\nDear Sir,\n\nRe: Indirect Tax Services \u2013 Engagement Letter\n\nWe thank you for giving an opportunity to Deloitte Touche Tohmatsu India LLP (\u201cDTTI LLP\u201d or \u201cService Provider\u201d) to assist FLIPKART INTERNET PRIVATE LIMITED (\u201cClient\u201d/\u201dFKN\u201d/\u201dCompany\u201d) in Indirect tax services (\u201cServices\u201d) for the benefit of the Client and the subsidiaries and/or Affiliates of the Client as specified in Annexure-2.\n\n(The identified subsidiaries and Affiliates in Annexure-2 together with the Client, are hereinafter collectively referred to as \u201cBeneficiary/(ies)\u201d). The Services will be provided in accordance with and subject to the provisions of this engagement letter (including any Work Orders/Statement of Work and Annexures 1, 2, 3, 4, 5 and 6 hereto) (\u201cEngagement Letter\u201d) and the Standard Tax Terms attached hereto (the Engagement Letter and Standard Tax Terms hereinafter are collectively referred to as collectively \u201cContract\u201d).\n\n1. BACKGROUND\n\n1.1 Flipkart Internet Private Limited is a company which owns the E-commerce portal \u201cFlipkart.com\u201d. It functions as a marketplace wherein various business entities can list their products in the website in return to a fee charged to use its portal.\n\n1.2 We further understand that the company receives revenue through payment gateway services, hosting services, advertisement services, etc and is also engaged in fulfilment services rendered to the sellers listed on the website.\n\n1.3 We would be glad to provide assistance, more specifically described in below paragraph(s).", "predicted": "Deloitte.\n\nDeloitte Touche Tohmatsu\nIndia LLP\nPrestige Trade Tower, Level 19\n46, Palace Road, High Grounds\nBengaluru - 560 001\nKarnataka, India\n\nTel: +91 80 6188 6000\nFax: +91 80 6188 6011\nwww.deloitte.com\n\nStrictly Private and Confidential\n\nDate: 8 July, 2025\n\nFlipkart Internet Private Limited\nAlyssa Begonia and Clover,\nEmbassy Tech Village ORR,\nDevarabeesanahalli Village,\nVarthur Hobli, Bangalore - 560103, Karnataka\n\nKind Attention: Mr. Kamal Chopra\n\nDear Sir,\nRe: Indirect Tax Services \u2013 Engagement Letter\n\nWe thank you for giving an opportunity to Deloitte Touche Tohmatsu India LLP (\"DTTI LLP\" or \"Service Provider\") to assist FLIPKART INTERNET PRIVATE LIMITED (\"Client\"/\"FKN\"/\"Company\") in Indirect tax services (\"Services\") for the benefit of the Client and the subsidiaries and/or Affiliates of the Client as specified in Annexure-2.\n\n(The identified subsidiaries and Affiliates in Annexure-2 together with the Client, are hereinafter collectively referred to as \"Beneficiary/(ies)\"). The Services will be provided in accordance with and subject to the provisions of this engagement letter (including any Work Orders/Statement of Work and Annexures 1, 2, 3, 4, 5 and 6 hereto) (\"Engagement Letter\") and the Standard Tax Terms attached hereto (the Engagement Letter and Standard Tax Terms hereinafter are collectively referred to as collectively \"Contract\").\n\n1. BACKGROUND\n\n1.1 Flipkart Internet Private Limited is a company which owns the E-commerce portal \"Flipkart.com\". It functions as a marketplace wherein various business entities can list their products in the website in return to a fee charged to use its portal.\n\n1.2 We further understand that the company receives revenue through payment gateway services, hosting services, advertisement services, etc and is also engaged in fulfilment services rendered to the sellers listed on the website.\n\n1.3 We would be glad to provide assistance, more specifically described in below paragraph(s).\n\nMamatha T", "correct": true, "input_tokens": 1161, "output_tokens": 482, "elapsed_seconds": 6.5556794999865815, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9838, "attempts": 1, "retries": 0, "total_seconds": 6.6143}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 17, "image": "93441566-50c0-4bfb-9a31-437a2bc5e4f2_png.rf.cd5bf1f53754c220ec912b1c44ade759.jpg", "expected": "2\n3000\nCOUNTER +2000\nActivate:Main Once Per Turn You may add 1 card from your Life area to your hand: This Character gains +2000 power during this turn. Then, give this Character up to 2 rested DON!! cards.\nCHARACTER\nSanji\nStraw Hat Crew\nOP01-013", "predicted": "2 3000 \u6253\nSTRIKE\nCOUNTER +2000\nActivate:Main Once Per Turn You may add 1 card from\nyour Life area to your hand: This Character gains +2000\npower during this turn. Then, give this Character up to 2\nrested DON!! cards.\nCHARACTER\nSanji\nStraw Hat Crew OP01-013 R 1\n\u00a9E.O./S \u00a9E.O./S., T.A. BANDAI MADE IN JAPAN", "correct": false, "input_tokens": 1178, "output_tokens": 115, "elapsed_seconds": 4.137257416034117, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.7954, "attempts": 1, "retries": 0, "total_seconds": 4.1534}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 18, "image": "2e43ea51-fc34-4d42-8b0f-66b2172d81f7_png.rf.345ac976ac43b542da24279e8683876b.jpg", "expected": "Q.5\n\nLet $L_1$ be the line of intersection of the planes given by the equations\n\n$$2x + 3y + z = 4 \\quad \\text{and} \\quad x + 2y + z = 5.$$\n\nLet $L_2$ be the line passing through the point $P(2, -1, 3)$ and parallel to $L_1$. Let $M$ denote the plane given by the equation\n\n$$2x + y - 2z = 6.$$\n\nSuppose that the line $L_2$ meets the plane $M$ at the point $Q$. Let $R$ be the foot of the perpendicular drawn from $P$ to the plane $M$ .\n\nThen which of the following statements is (are) TRUE?\n\n| | |\n|---|---|\n| (A) | The length of the line segment $PQ$ is $9\\sqrt{3}$ |\n| (B) | The length of the line segment $QR$ is $15$ |\n| (C) | The area of $\\triangle PQR$ is $\\dfrac{3}{2}\\sqrt{234}$ |\n| (D) | The acute angle between the line segments $PQ$ and $PR$ is $\\cos^{-1}\\left(\\dfrac{1}{2\\sqrt{3}}\\right)$ |\n\nAnswer: A, C\n\n3/9", "predicted": "Q.5 Let $L_1$ be the line of intersection of the planes given by the equations\n\n$$2x + 3y + z = 4 \\text{ and } x + 2y + z = 5.$$\n\nLet $L_2$ be the line passing through the point $P(2, -1, 3)$ and parallel to $L_1$. Let $M$ denote the plane given by the equation\n\n$$2x + y - 2z = 6.$$\n\nSuppose that the line $L_2$ meets the plane $M$ at the point $Q$. Let $R$ be the foot of the perpendicular drawn from $P$ to the plane $M$.\n\nThen which of the following statements is (are) TRUE?\n\n| | |\n| :--- | :--- |\n| (A) | The length of the line segment $PQ$ is $9\\sqrt{3}$ |\n| (B) | The length of the line segment $QR$ is $15$ |\n| (C) | The area of $\\Delta PQR$ is $\\frac{3}{2}\\sqrt{234}$ |\n| (D) | The acute angle between the line segments $PQ$ and $PR$ is $\\cos^{-1}\\left(\\frac{1}{2\\sqrt{3}}\\right)$ |\n\n**Answer: A, C**\n\n---\n3/9", "correct": true, "input_tokens": 1184, "output_tokens": 307, "elapsed_seconds": 4.941227332921699, "metadata": {"question": "Transcribe every piece of text in this image exactly as written, in reading order, preserving question and option numbering, and omit nothing. Write mathematical expressions in LaTeX and format the result as Markdown that mirrors the layout.", "match_method": "similarity", "score": 0.9513, "attempts": 1, "retries": 0, "total_seconds": 4.9585}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 19, "image": "8b690a3e-b9cd-48e1-a323-981e43142145_png.rf.84216f941b59ba17963217ea5bea26e9.jpg", "expected": "Question 37:\nConsider a system with six I/O-bound processes and one CPU-bound process. Each I/O-bound process executes for 1 ms before blocking for a 12 ms I/O operation. The context-switch overhead is 0.1 ms.\nUsing Round-Robin scheduling:\na. Time quantum = 1 ms\nb. Time quantum = 6 ms\nFor each case:\n\u2022 Draw the execution timeline.\n\u2022 Determine the average waiting time of the CPU-bound process.\n\u2022 Explain how the choice of quantum affects waiting time.\n\nQuestion 38:\nConsider a system with twelve I/O-bound tasks and one CPU-bound task. Each I/O-bound task runs for 1 ms before performing an 8 ms I/O operation.\nUsing Round-Robin scheduling:\na. Time quantum = 1 ms\nb. Time quantum = 4 ms\nFor each case:\n\u2022 Show the sequence of process execution.\n\u2022 Determine the average number of processes in the ready queue.\n\u2022 Explain how the quantum affects queue length.\n\nQuestion 39:\nConsider a system with eight I/O-bound tasks and two CPU-bound tasks. Each I/O-bound task requests an I/O operation after every 2 ms of CPU execution. Each I/O operation requires 12 ms. Using Round-Robin scheduling:\na. Time quantum = 2 ms\nb. Time quantum = 8 ms\nDetermine:\n\u2022 CPU utilization.\n\u2022 I/O device utilization.\n\u2022 Periods when the I/O device is idle.", "predicted": "Question 37:\nConsider a system with six I/O-bound processes and one CPU-bound process. Each I/O-bound process executes for 1 ms before blocking for a 12 ms I/O operation. The context-switch overhead is 0.1 ms.\nUsing Round-Robin scheduling:\n a. Time quantum = 1 ms\n b. Time quantum = 6 ms\nFor each case:\n \u2022 Draw the execution timeline.\n \u2022 Determine the average waiting time of the CPU-bound process.\n \u2022 Explain how the choice of quantum affects waiting time.\n\nQuestion 38:\nConsider a system with twelve I/O-bound tasks and one CPU-bound task. Each I/O-bound task runs for 1 ms before performing an 8 ms I/O operation.\nUsing Round-Robin scheduling:\n a. Time quantum = 1 ms\n b. Time quantum = 4 ms\nFor each case:\n \u2022 Show the sequence of process execution.\n \u2022 Determine the average number of processes in the ready queue.\n \u2022 Explain how the quantum affects queue length.\n\nQuestion 39:\nConsider a system with eight I/O-bound tasks and two CPU-bound tasks. Each I/O-bound task requests an I/O operation after every 2 ms of CPU execution. Each I/O operation requires 12 ms. Using Round-Robin scheduling:\n a. Time quantum = 2 ms\n b. Time quantum = 8 ms\nDetermine:\n \u2022 CPU utilization.\n \u2022 I/O device utilization.\n \u2022 Periods when the I/O device is idle.", "correct": true, "input_tokens": 1162, "output_tokens": 363, "elapsed_seconds": 5.185847125016153, "metadata": {"question": "Transcribe every piece of text in this image exactly as written, in reading order, preserving question and option numbering, and omit nothing. Output as plain text but preserve the visual structure. Do not add any extra markdown styling.", "match_method": "similarity", "score": 0.9646, "attempts": 1, "retries": 0, "total_seconds": 5.1961}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 20, "image": "056e17c9-9b46-496a-9cf8-c1b54bd73216_png.rf.ad6da03e5299b085ff446174b8c6cc4b.jpg", "expected": "```python\nclass Snapshot(BaseModel):\n pageIndex: int = 1\n stateId: str # computed by extension\n interactive: List[InteractiveElement] = Field(default_factory=list)\n extracted: Optional[ExtractedCard] = None\n ts_ms: int\n```", "predicted": "```python\nclass Snapshot(BaseModel):\n pageIndex: int = 1\n stateId: str # computed by extension\n interactive: List[InteractiveElement] = Field(default_factory=list)\n extracted: Optional[ExtractedCard] = None\n ts_ms: int\n```", "correct": true, "input_tokens": 1200, "output_tokens": 71, "elapsed_seconds": 3.734610625077039, "metadata": {"question": "Transcribe every piece of text in this screenshot exactly as written, in reading order, and omit nothing. Put source code inside fenced code blocks, preserving indentation, quotes, and casing exactly, and transcribe surrounding interface text as Markdown. Transcribe only the complete definition of the `Snapshot` class exactly as it appears in the code editor, including the class line and all its fields, and ignore all other code, editor chrome, file tabs, sidebars, and the terminal.", "match_method": "similarity", "score": 1.0, "attempts": 1, "retries": 0, "total_seconds": 3.7742}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 21, "image": "0f7a1b1b-b0f9-4dba-9659-0455701b7a3f_png.rf.a006d974af16d067a2ee124fe9e15f3f.jpg", "expected": "Department of Computer Science and Engineering\nFaculty of Technology & Engineering\nThe M. S. University of Baroda, Vadodara\nS.S BE IV CSE (______)\n\nINDUSTRY PROJECT EVALUATION FORM\n\nName of the Student : Raval Sumit Bharatbhai\nName of Project Guide : Sukhvala Prit Hasmukhbhai\nTitle / Designation : Jr. Salesforce Developer\nEmail of Project Guide : sukhvalaps@gmail.com\nAddress of the Organization : Dev Arcade, U3, Eru Char Rasta, Vejalpore, Jalalpore, Eroo, Navsari, Gujarat-396450\nContact No. : 98751 62607\n\n(Indicate your choice by tick a (\u2713) mark):\n\nHighest-----------------------------------------------------------------Lowest\n\n
Attributes of ObservancePO54321
1Punctuality/ RegularityPO8\u2713
2Sincerity in LearningPO12\u2713
3Enthusiasm to use new technological toolsPO5\u2713
4Team Spirit: Relationship with Team MembersPO9\u2713
5Technical/Programming SkillsPO1\u2713
6Societal Impact of ProjectPO7\u2713
7InnovationPO1,PO5\u2713
8Knowledge of Algorithm OptimizationPO1,PO4\u2713
9Problem Solving AbilityPO2\u2713
10Project Management/Leadership Skills: Taking responsibilitiesPO11\u2713
11Communication SkillsPO10\u2713
12Implementing InstructionsPO3\u2713
13Achievement of DeadlinesPO11\u2713
14Follows Sustainable Development practices in day to day work and project workPO6\u2713
15Overall Performance, Behavior and AttitudePO8\u2713
\n\nPage 1 of 2", "predicted": "Department of Computer Science and Engineering\nFaculty of Technology & Engineering\nThe M. S. University of Baroda, Vadodara\nS.S BE IV CSE (         )\n\nINDUSTRY PROJECT EVALUATION FORM\n\nName of the Student : Raval Sumit Bharatbhai\nName of Project Guide : Sakhvala Prit Hasmukhbhai\nTitle / Designation : Jr. Salesforce Developer\nEmail of Project Guide : sakhvalaps@gmail.com\nAddress of the Organization : Dev Arcade, U3, Eru Char Rasta,\nVejalpore, Jalalpore, Eroo, Navsari,\nContact No. : 98751 62607         Gujarat-396450\n\n**(Indicate your choice by tick a ($\\sqrt{}$) mark):**\n\nHighest-----------------------------------------------------Lowest\n\n
Attributes of ObservancePO54321
1Punctuality/ RegularityPO8\u2713
2Sincerity in LearningPO12\u2713
3Enthusiasm to use new technological toolsPO5\u2713
4Team Spirit: Relationship with Team MembersPO9\u2713
5Technical/Programming SkillsPO1\u2713
6Societal Impact of ProjectPO7\u2713
7InnovationPO1,PO5\u2713
8Knowledge of Algorithm OptimizationPO1,PO4\u2713
9Problem Solving AbilityPO2\u2713
10Project Management/Leadership Skills: Taking responsibilitiesPO11\u2713
11Communication SkillsPO10\u2713
12Implementing InstructionsPO3\u2713
13Achievement of DeadlinesPO11\u2713
14Follows Sustainable Development practices in day to day work and project workPO6\u2713
15Overall Performance, Behavior and AttitudePO8\u2713
\n\nPage 1 of 2", "correct": false, "input_tokens": 1166, "output_tokens": 679, "elapsed_seconds": 8.282163582975045, "metadata": {"question": "Transcribe all text in this document exactly and completely, in reading order, preserving casing, punctuation, currency symbols, and codes. Use an HTML table only for genuinely tabular content, mirroring its rows, columns, and merged cells; write the HTML on single lines with no indentation or blank lines between tags, and collapse horizontal alignment to a single space.", "match_method": "similarity", "score": 0.9188, "attempts": 1, "retries": 0, "total_seconds": 8.2964}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 22, "image": "4f216ea0-af67-40e1-a226-2884e051db56_png.rf.b2fadeee17b3985c08325bec449bfd27.jpg", "expected": "NANAVATI\nMAX Super Speciality Hospital\n\n28/11/25\n\nTo\n\nWHOM SO EVER IT MAY CONCERNS\n\nMrs. Tanvi Mehta, 33/F, K/c/o CKD Stage 5 is planned for Live related kidney transplant on 2/12/2025. Post op patient is given immunosuppressants so require Isolation / Single room for infection prevention.\n\nSo kindly consider the same.\n\nFor Dr. Jalin Kotuan.\n\nDr. Balabhai Nanavati Hospital (Charitable) \nS.V. Road, Vile Parle (W), Mumbai - 400 056 \nTel.: +91-22-6134 7500 \nManaged by Max Hospitals and Allied services Limited\n\nwww.nanavatimaxhospital.org", "predicted": "NANAVATI\nMAX Super Speciality Hospital 28/11/25\nTo\nWHOM SO EVER IT MAY CONCERNS\nMrs. Tanvi Mehta, 33/F, K/c/o CKD Stage 5\nis planned for Live related kidney transplant\non 2/12/2025. Post op patient is given\nimmunosuppressants so require Isolation/\nSingle room for infection prevention.\nSo kindly consider the same.\nDR. BALABHAI NANAVATI HOSPITAL MUMBAI - 56\nFor Dr. Jatin Kothari.\nDr. Balabhai Nanavati Hospital (Charitable)\nS.V. Road, Vile Parle (W), Mumbai - 400 056\nTel.: +91-22-6134 7500\nManaged by Max Hospitals and Allied services Limited\nwww.nanavatimaxhospital.org\nNABH\nH-2015-0389\nDec 02, 18 - Dec 01, 21\nSince Dec 02, 2018", "correct": false, "input_tokens": 1140, "output_tokens": 250, "elapsed_seconds": 4.959760584053583, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.8117, "attempts": 1, "retries": 0, "total_seconds": 5.0149}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 23, "image": "058e2b7c-372e-4d28-8921-9686341124d1_png.rf.17dd3d796974c2aef56049a1e6edcee8.jpg", "expected": "Sir Ganga Ram Hospital\nSir Ganga Ram Hospital Marg, Rajinder Nagar,\nNew Delhi-110060, INDIA Tel : +91-11-4225 4000\n\nMedical Superintendent (Offg.)\nSir Ganga Ram Kolmet Hospital, 7-B, Pusa Road,\nNew Delhi-110005. Tel : +91-11-45099999, (D) 45099980\n\nDr. Raj Kamal Agarwal\nSr. Consultant\nDeptt. of Anaesthesiology\nPain & Peri Operative Medicine\nMobile : +91 98101 52201\nE-mail : kamalagarwal300@gmail.com\n\nTO WHOM IT MAY CONCERN\n\nAs per ICMR guideline, the contacts of COVID +ve cases should be put on HOME ISOLATION even with Mild Symptoms\n\nIt is advised that everybody takes these preventive medication apart from following SOCIAL DISTANCING, HAND HYGIENE & WEARING MASK\n\nRx\n\u2022 TAB HYDROXY CHLOROQUINE 400mg once a week\n\u2022 TAB VITAMIN C one gram once a day\n\u2022 TAB ZINC 50 mg once a day\n\nIn case of fever\n\n* \u2022 TAB CROCIN/CALPOL 650 mg SOS\n\nIn case of throat pain & cough\n\n* \u2022 TAB CETRIZINE 10mg once a day.\n\u2022 SYRUP ALEX 2/3 Tea spoon 3 times a day.\n\nDr. RAJ KAMAL AGARWAL\nMBBS, DA\nDMC No. 14517\nSENIOR CONSULTANT\nDEPTT. OF ANAESTHSIOLOGY\nPERIOPERATIVE MEDICINE & PAIN\nSIR GANGARAM HOSPITAL\nRAJINDER NAGAR, NEW DELHI-110060\nPh.9810152201\n\nResidence :\n181, Royalton Tower, Princeton Estate, DLF Phase-V, Gurugram, Haryana", "predicted": "Sir Ganga Ram Hospital Dr. Raj Kamal Agarwal\nSir Ganga Ram Hospital Marg, Rajinder Nagar, Sr. Consultant\nNew Delhi-110060, INDIA Tel : +91-11-4225 4000 Deptt. of Anaesthesiology\nMedical Superintendent (Offg.) Pain & Peri Operative Medicine\nSir Ganga Ram Kolmet Hospital, 7-B, Pusa Road, Mobile : +91 98101 52201\nNew Delhi-110005. Tel : +91-11-45099999, (D) 45099980 E-mail : kamalagarwal300@gmail.com\n\nTO WHOM IT MAY CONCERN\n\nAs per ICMR guideline, the contacts of\nCOVID +ve cases should be put on HOME\nISOLATION even with Mild symptoms\nIt is advised that everybody takes these\npreventive medication apart from following\nSOCIAL DISTANCING, HAND HYGIENE & WEARING\nMASK\nRx\n\u2022 TAB HYDROXYCHLOROQUINE 400mg once a week\n\u2022 TAB VITAMIN C one gram once a day\n\u2022 TAB ZINC 50mg once a day\nIn case of fever\n* \u2022 TAB CROCIN / CALPOL 650 mg SOS\nIn case of throat pain & cough\n* \u2022 TAB CETRIZINE 10mg once a day.\n\u2022 SYRUP ALEX 2/3 tea spoon 3 times a day.\n\nDR. RAJ KAMAL AGARWAL\nMBBS, DA\nDMC No 4537\n10-4-20 SENIOR CONSULTANT\nDEPTT. OF ANAESTHSIOLOGY\nPERIOPERATIVE MEDICINE & PAIN\nResidence : SIR GANGARAM HOSPITAL\n181, Royalton Tower, Princeton Estate, DLF Phase-V, Gurugram, Haryana-122001 RAJINDER NAGAR, NEW DELHI-110060\nPH 9810152201", "correct": false, "input_tokens": 1152, "output_tokens": 447, "elapsed_seconds": 9.371075292001478, "metadata": {"question": "Transcribe all handwritten and printed text exactly as written, reading top to bottom and left to right, and omit nothing; mark only genuinely unreadable words as [illegible]. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.6792, "attempts": 1, "retries": 0, "total_seconds": 9.4532}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 24, "image": "1b4e5426-d109-4398-8e45-ab1dc497980f_png.rf.bded2a0f08d8a00ca919034e8f04cf48.jpg", "expected": "Lesson \n1.1\n\nReading (Recognizing Uppercase and Lowercase Letters)\n\nActivity\n\nCircle the matching lowercase letter in each row. The first one has been completed.\n\n| | | | | |\n|---|---|---|---|---|\n| A | c | (a) | e | h |\n| B | v | n | (b) | l |\n| C | a | w | e | (c) |\n| D | (d) | l | t | i |\n| E | b | m | x | (e) |\n| F | e | o | (f) | p |\n| G | h | (g) | r | s |\n| H | v | a | (h) | r |\n| I | c | a | (i) | p |\n| J | t | y | o | (j) |\n| K | (k) | x | d | u |\n| L | o | (l) | a | t |\n| M | b | (m) | n | w |", "predicted": "Lesson 1.1\n\n# Reading (Recognizing Uppercase and Lowercase Letters)\n\n## Activity\n\n**Circle the matching lowercase letter in each row. The first one has been completed.**\n\n| | | | | |\n| :---: | :---: | :---: | :---: | :---: |\n| A | c | $\\textcircled{\\text{a}}$ | e | h |\n| B | v | n | $\\textcircled{\\text{b}}$ | l |\n| C | a | w | $\\textcircled{\\text{e}}$ | c |\n| D | $\\textcircled{\\text{d}}$ | l | t | i |\n| E | b | m | x | $\\textcircled{\\text{e}}$ |\n| F | e | o | $\\textcircled{\\text{f}}$ | p |\n| G | h | $\\textcircled{\\text{g}}$ | r | s |\n| H | v | a | $\\textcircled{\\text{h}}$ | r |\n| I | c | a | $\\textcircled{\\text{i}}$ | p |\n| J | t | y | o | $\\textcircled{\\text{j}}$ |\n| K | $\\textcircled{\\text{k}}$ | x | d | u |\n| L | o | $\\textcircled{\\text{l}}$ | a | t |\n| M | b | $\\textcircled{\\text{m}}$ | n | w |\n\nCabsera", "correct": false, "input_tokens": 1190, "output_tokens": 311, "elapsed_seconds": 5.358387624961324, "metadata": {"question": "Transcribe every piece of text in this image exactly as written, in reading order, preserving question and option numbering, and omit nothing. Write mathematical expressions in LaTeX and format the result as Markdown that mirrors the layout. Ignore the vertical text printed sideways along the page margin.", "match_method": "similarity", "score": 0.577, "attempts": 1, "retries": 0, "total_seconds": 5.3964}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 25, "image": "9e81338a-33bb-479d-939a-0df376f0a972_png.rf.917d36705351e18951147dc224677339.jpg", "expected": "yes exactly! a bit like i'm being manipulated in some creepy way. \"please like me, look how much i know about you, we are good friends\".", "predicted": "Andrej Karpathy @karpathy \u00b7 1\u5c0f\u65f6\nyes exactly! a bit like i'm being manipulated in some creepy way. \"please like me, look how much i know about you, we are good friends\".\n4 2 105 4,300", "correct": false, "input_tokens": 1184, "output_tokens": 64, "elapsed_seconds": 3.2494179169880226, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom, keeping each author's handle with their message, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the last (bottom-most) tweet authored by Andrej Karpathy (@karpathy).", "match_method": "similarity", "score": 0.7473, "attempts": 1, "retries": 0, "total_seconds": 3.2813}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 26, "image": "e6e06b1b-da53-41ac-bfdf-9316443ff037_png.rf.39688157a0a030c060170f7400170d30.jpg", "expected": "31/3/24 AI OCR Tools\n\nQuite unusually for me, this essay started its life as a scribble in a notebook rather than something I typed into a markdown editor. A few weeks ago Tiago Forte made a short video suggesting that people can use GPT4-V to capture their hand-written notes digitally. I've been looking for a \"smart\" OCR tool that can process my terribly scratchy, spidery hand writing for many years and none have quite cut the mustard. But, I thought, why not give it a go. To my absolute surprise, GPT did a phenomenal job of parsing my scrawlings and spitting out text. I was seriously impressed. Handwriting OCR has now gone from a fun toy and conversation piece to something I can actually, seriously use in my workflow. So then, is GPT via ChatGPT the best option I've got for this task or are there any FOSS tools and models that I could use instead?\n\nThe Closest option: CRAFT-TROCR\n\nI played with this a couple of years ago and it was reasonably good at certain content but only if I write in my very best hand writing all the time. And I don't do that because when I am taking notes in a meeting or something, I am thinking about the meeting, not my hand writing.\n\nHow does CRAFT-TROCR work? Are there any major differences? I'm guessing a big transformer model is able to maximise probability globally across the image + the generated text.\n\n68", "predicted": "31/3/24 AI OCR Tools\n\nQuite unusually for me, this essay started its life\nas a scribble in a notebook rather than something\nI typed into a markdown editor. A few weeks ago\nTiago Forte made a short video suggesting that\npeople can use GPT4-V to capture their hand-written\nnotes digitally. I've been looking for a \"smart\"\nOCR tool that can process my terribly scratchy,\nspidery hand writing for many years and none have\nquite cut the mustard. But, I thought, why not\ngive it a go. To my absolute surprise, GPT did\na phenomenal job of parsing my scrawlings and\nspitting out [illegible] text. I was seriously impressed.\nHandwriting OCR has now gone from a fun toy\nand conversation piece to something I can actually, seriously\nuse in my workflow. So then, is GPT via ChatGPT\nthe best option I've got for this task or are\n[illegible] there any FOSS tools and models that I could\nuse instead?\n\nThe Classic option: CRAFT-TROCR\n\nI played with this a couple of years ago and\nit was reasonably good at certain content but only\nif I write in my very best hand writing all the time.\nAnd I don't do that because when I am taking\nnotes in a meeting or something, I am thinking about\nthe meeting, not my hand writing.\n\nHow does CRAFT-TROCR work? Are there any major\ndifferences? I'm guessing a big transformer model\nis able to maximise probability globally across the\nimage + the generated text.\n\n68", "correct": true, "input_tokens": 1210, "output_tokens": 347, "elapsed_seconds": 5.230970124946907, "metadata": {"question": "Transcribe all handwritten and printed text exactly as written, reading top to bottom and left to right, and omit nothing; mark only genuinely unreadable words as [illegible]. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the text on the left page of the notebook, ignoring the partially visible right page.", "match_method": "similarity", "score": 0.9624, "attempts": 1, "retries": 0, "total_seconds": 5.2806}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 27, "image": "d1d7aaf7-169c-4847-866d-61bc0a6784b4_png.rf.47c7117d83bf6448f821dbc28e0e6255.jpg", "expected": "R\u00c9PUBLIQUE FRAN\u00c7AISE\nCARTE NATIONALE D'IDENTIT\u00c9 / IDENTITY CARD\n\nNOM / Surname \nMARTIN\n\nPr\u00e9noms / Given names \nMa\u00eblys Ga\u00eblle, Marie\n\nSEXE / Sex\nF\n\nNATIONALIT\u00c9 / Nationality\nFRA\n\nDATE DE NAISS. / Date of birth \n13 07 1990\n\nLIEU DE NAISSANCE / Place of birth \nPARIS\n\nNOM D'USAGE / Alternate name \nNOM D'USAGE\n\nN\u00b0 DU DOCUMENT / Document No. \nX4RTBPFW4\n\nDATE D'EXPIR. / Expiry date \n11 02 2030\n\nSignature\n\n384213", "predicted": "R\u00c9PUBLIQUE FRAN\u00c7AISE FR\nCARTE NATIONALE D'IDENTIT\u00c9 / IDENTITY CARD\nNOM / Surname\nMARTIN\nPr\u00e9noms / Given names\nMa\u00eblys-Ga\u00eblle, Marie\nSEXE / Sex NATIONALIT\u00c9 / Nationality DATE DE NAISS. / Date of birth\nF FRA 13 07 1990\nLIEU DE NAISSANCE / Place of birth\nPARIS\nNOM D'USAGE / Alternate name\nNOM D'USAGE\nN\u00b0 DU DOCUMENT / Document No. DATE D'EXPIR. / Expiry date\nX4RTBPFW4 11 02 2030\n384213", "correct": false, "input_tokens": 1179, "output_tokens": 149, "elapsed_seconds": 5.482991209020838, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the main identity document, reading top to bottom and left to right, and ignore the vertical text along the left edge, the signature graphic, and the faint background watermark.", "match_method": "similarity", "score": 0.8504, "attempts": 1, "retries": 0, "total_seconds": 5.5438}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 28, "image": "bcd74d99-f2d8-4005-aa54-2cc083e5a293_png.rf.1d000af6e7da39b4a95398db67f4bcbb.jpg", "expected": "4/16/26, 3:09 PM\n\nDocs\n\nGetting Started with Docker setup\n\nTo begin developing and deploying applications within this environment, you must have Docker Engine and the Docker Compose plugin installed. Follow the steps below to set up the environment on a Debian/Ubuntu-based system.\n\n1. Update the Package Index\n\nsudo apt update\n\nsudo apt install -y ca-certificates curl gnupg lsb-release\n\ncurl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --dearmor -o /etc/apt/keyrings/docker.gpg\n\nsudo chmod a+r /etc/apt/keyrings/docker.gpg\n\necho \\\n \"deb [arch=$(dpkg --print-architecture) signed-by=/etc/apt/keyrings/docker.gpg] https://download.docker.com/linux/ubuntu \\\n $(. /etc/os-release && echo \"$VERSION_CODENAME\") stable\" | \\\n sudo tee /etc/apt/sources.list.d/docker.list > /dev/null\n\nsudo apt update\n\nsudo apt install -y docker-ce docker-ce-cli containerd.io docker-buildx-plugin docker-compose-plugin", "predicted": "4/16/26, 3:09 PM Docs\n\nGetting Started with Docker setup\n\nTo begin developing and deploying applications within this environment, you must\nhave Docker Engine and the Docker Compose plugin installed. Follow the steps\nbelow to set up the environment on a Debian/Ubuntu-based system.\n\n 1. Update the Package Index\n\n sudo apt update\n\n sudo apt install -y ca-certificates curl gnupg lsb-release\n\n curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --\n dearmor -o /etc/apt/keyrings/docker.gpg\n\n sudo chmod a+r /etc/apt/keyrings/docker.gpg\n\n echo \\\n \"deb [arch=$(dpkg --print-architecture) signed-\n by=/etc/apt/keyrings/docker.gpg]\n https://download.docker.com/linux/ubuntu \\\n $(. /etc/os-release && echo \"$VERSION_CODENAME\") stable\" | \\\n sudo tee /etc/apt/sources.list.d/docker.list > /dev/null\n\n sudo apt update\n\n sudo apt install -y docker-ce docker-ce-cli containerd.io docker-\n buildx-plugin docker-compose-plugin", "correct": true, "input_tokens": 1161, "output_tokens": 269, "elapsed_seconds": 4.41706312505994, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9795, "attempts": 1, "retries": 0, "total_seconds": 4.4263}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 29, "image": "8aa12106-fbe5-4983-96bf-a1243a7c4020_png.rf.83832cdeaaf470d6954bbada16920ccd.jpg", "expected": "\"Jade City\"\nBaan 16 - 8256 AX\nBiddinghuizen\n\nT.Nr: L7\n\n
1 Gebraden magere spek met pikante saus a 19.50 (1 Nasi a EUR 1.00)EUR20.50
1 Chinese bami a la \"Jade City\" a 19.00EUR19.00
1 Babi pangang met pikante saus a 19.00 (1 Nasi a EUR 1.00)EUR20.00
1 Koe Loe Kai a 18.00 (1 Nasi a EUR 1.00)EUR19.00
1 Ossenhaas met oestersaus a 21.00EUR21.00
2 Dame blanche(ijs.choc.slagroom)EUR9.00
1 Cola a 3.25EUR3.25
2 Cola-max a 3.25EUR6.50
1 Sinas a 3.25EUR3.25
1 Seven-up a 3.25EUR3.25
2 ice thee met prik a 3.75EUR7.50
3 ijs a 4.00EUR12.00
\n\n============ +\nTotaal: EUR 144.25\n============\n\nBTW 9.0% EUR 11.91\n\nBedankt voor Uw bezoek\nRabobank NL29 0348178123\nKvk 39037611", "predicted": "\"Jade City\"
Baan 16 - 8256 AX
Biddinghuizen
T.Nr: L7
1Gebraden magere spek met
pikante saus a 19.50
(1 Nasi a EUR 1.00)		EUR20.50
1Chinese bami a la \"Jade
City\" a 19.00		EUR19.00
1Babi pangang met pikante
saus a 19.00
(1 Nasi a EUR 1.00)		EUR20.00
1Koe Loe Kai a 18.00
(1 Nasi a EUR 1.00)		EUR19.00
1Ossenhaas met oestersaus
a 21.00		EUR21.00
2Dame
blanche(ijs.choc.slagroom)		EUR9.00
1Cola a 3.25EUR3.25
2Cola-max a 3.25EUR6.50
1Sinas a 3.25EUR3.25
1Seven-up a 3.25EUR3.25
2ice thee met prik a 3.75EUR7.50
3ijs a 4.00EUR12.00
=========== +
Totaal: EUR144.25
===========

BTW 9.0% EUR 11.91
Bedankt voor Uw bezoek
Rabobank NL29 0348178123
Kvk 39037611", "correct": false, "input_tokens": 1204, "output_tokens": 551, "elapsed_seconds": 7.933591665932909, "metadata": {"question": "Transcribe all text in this document exactly and completely, in reading order, preserving casing, punctuation, currency symbols, and codes. Use an HTML table only for genuinely tabular content, mirroring its rows, columns, and merged cells; write the HTML on single lines with no indentation or blank lines between tags, and collapse horizontal alignment to a single space. Transcribe only the main receipt in the foreground, and ignore the upside-down, semi-transparent receipt behind it.", "match_method": "similarity", "score": 0.7638, "attempts": 1, "retries": 0, "total_seconds": 8.0016}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 30, "image": "11b83a24-c9b8-4d9a-b4db-b73d396719cd_png.rf.358e9a65b048e920c8eacbd7b7fb1df6.jpg", "expected": "Something tells me that if they released their chat/tool/hyper-param templates which they use on their cloud service, there'd be a lot more love and acceptance. Why anyone is still using a llama.cpp wrapper anymore is the better question and beyond me.", "predicted": "Eric @Ex0byt \u00b7 1\u5c0f\u65f6\nSomething tells me that if they released their chat/tool/hyper-param templates which they use on their cloud service, there\u2019d be a lot more love and acceptance. Why anyone is still using a llama.cpp wrapper anymore is the better question and beyond me.\n40", "correct": false, "input_tokens": 1199, "output_tokens": 71, "elapsed_seconds": 3.3189343330450356, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom, keeping each author's handle with their message, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the reply authored by Eric (@Ex0byt).", "match_method": "similarity", "score": 0.9161, "attempts": 1, "retries": 0, "total_seconds": 3.3502}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 31, "image": "fc6e5e8d-4b33-4a20-a63a-96c0205ae8f6_png.rf.6cdeb04c221a85b1895ded05acdbfa1b.jpg", "expected": "When recorded return to:\nSTRIBLING LAW FIRM PO\n101 E MCINTOSH ST\nMILLEDGEVILLE GA 3106\n\nDoc ID: 001029530008 Type: GLR\nRecorded: 10/21/2013 at 04:07:30 PM\nPage 1 of 8\nBaldwin, Ga. Clerk Superior Court\nRosemary Phillips Clerk of Courts\nBK 1150 PG 483-490\n\nFILED & RECORDED\nCLERK, SUPERIOR COURT\nBALDWIN COUNTY, GA\n2013 OCT 21 PM 4: 07\nBY\nROSEMARY PHILLIPS, CLERK\n\nDeed To Secure Debt\n(With Future Advance Clause)\n\n1. Date and Parties. The date of this Deed to Secure Debt (Security Instrument) is OCTOBER 21, 2013\n. The parties and their addresses are:\n\nGrantor: THE BRACK FAMILY LIMITED\nPARTNERSHIP\n891 S JEFFERSON STREET SE\nMILLEDGEVILLE GA 31061\n\n\u2610 If checked, refer to the attached Addendum incorporated herein, for additional Grantors, their signatures\nand acknowledgments.\n\nGrantee: CENTURY BANK AND TRUST\n(\"Lender\") 141 S WAYNE ST\nMILLEDGEVILLE, GA 31061-5708\n\n2. Conveyance. For good and valuable consideration, the receipt and sufficiency of which is acknowledged,\nand to secure the Secured Debt (defined below) and Grantor\u2019s performance under this Security Instrument,\nGrantor irrevocably grants, bargains, transfers, conveys and sells to Lender, with power of sale, the\nfollowing described property:\n*SEE EXHIBIT 'A' ATTACHED HERETO AND INCORPORATED HEREIN BY REFERENCE.\n\nThe property is located in BALDWIN at\n(County)\n101 KINGS RD , MILLEDGEVILLE , Georgia 31061-0000\n(Address) (City) (ZIP Code)\nTogether with all rights, easements, appurtenances, royalties, mineral rights, oil and gas rights, all water and\nriparian rights, ditches, and water stock and all existing and future improvements, structures, fixtures, and\nreplacements that may now, or at any time in the future, be part of the real estate described above (all\nreferred to as \"Property\").\n\n3. Maximum Obligation Limit. The total principal amount secured by this Security Instrument at any one time\nshall not exceed $ UNLIMITED . This limitation of amount does not include\ninterest and other fees and charges validly made pursuant to this Security Instrument. Also, this limitation\ndoes not apply to advances made under the terms of this Security Instrument to protect Lender\u2019s security and\nto perform any of the covenants contained in this Security Instrument.\n\nReal Estate Security Instrument-Consumer-GA\nVMP\u00ae Bankers Systems\u2122\nWolters Kluwer Financial Services \u00a9 1994, 2011\n\nRE-DSD-GA 1/24/2011\nVMPC231(GA) (1101).00\nPage 1 of 6\n\nBB R# 189300", "predicted": "When recorded return to:\nSTRIBLING LAW FIRM PC 2\n101 E MCINTOSH ST\nMILLEDGEVILLE GA 31061\n\nFILED & RECORDED\nCLERK, SUPERIOR COURT\nBALDWIN COUNTY, GA\n\nDoc ID: 001029530008 Type: GLR\nRecorded: 10/21/2013 at 04:07:30 PM 2013 OCT 21 PM 4: 07\nPage 1 of 8\nBaldwin, Ga. Clerk Superior Court\nRosemary Phillips Clerk of Courts BY Barbara Boyer\nBK 1150 PG 483-490 ROSEMARY PHILLIPS, CLERK\ndpy Clerk\n\n\nDeed To Secure Debt\n(With Future Advance Clause)\n\n\n1. Date and Parties. The date of this Deed to Secure Debt (Security Instrument) is OCTOBER 21, 2013\n . The parties and their addresses are:\n\n Grantor: THE BRACK FAMILY LIMITED\n PARTNERSHIP\n 891 S JEFFERSON STREET SE\n MILLEDGEVILLE GA 31061\n\n\n \u2610 If checked, refer to the attached Addendum incorporated herein, for additional Grantors, their signatures\n and acknowledgments.\n\n Grantee: CENTURY BANK AND TRUST\n (\"Lender\") 141 S WAYNE ST\n MILLEDGEVILLE, GA 31061-5708\n\n\n2. Conveyance. For good and valuable consideration, the receipt and sufficiency of which is acknowledged,\n and to secure the Secured Debt (defined below) and Grantor's performance under this Security Instrument,\n Grantor irrevocably grants, bargains, transfers, conveys and sells to Lender, with power of sale, the\n following described property:\n\n *SEE EXHIBIT 'A' ATTACHED HERETO AND INCORPORATED HEREIN BY REFERENCE.\n\n\n The property is located in BALDWIN at\n (County)\n 101 KINGS RD , MILLEDGEVILLE , Georgia 31061-0000\n (Address) (City) (ZIP Code)\n Together with all rights, easements, appurtenances, royalties, mineral rights, oil and gas rights, all water and\n riparian rights, ditches, and water stock and all existing and future improvements, structures, fixtures, and\n replacements that may now, or at any time in the future, be part of the real estate described above (all\n referred to as \"Property\").\n\n3. Maximum Obligation Limit. The total principal amount secured by this Security Instrument at any one time\n shall not exceed $ UNLIMITED . This limitation of amount does not include\n interest and other fees and charges validly made pursuant to this Security Instrument. Also, this limitation\n does not apply to advances made under the terms of this Security Instrument to protect Lender's security and\n to perform any of the covenants contained in this Security Instrument.\n\n\nReal Estate Security Instrument-Consumer-GA RE-DSD-GA 1/24/2011\nVMP\u00ae Bankers Systems\u2122 VMPC231(GA) (1101).00\nWolters Kluwer Financial Services \u00a9 1994, 2011 Page 1 of 6\n\nBB R# 189300", "correct": false, "input_tokens": 1168, "output_tokens": 699, "elapsed_seconds": 8.420647708931938, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.8764, "attempts": 1, "retries": 0, "total_seconds": 8.4482}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 32, "image": "c05c3288-ac14-47d6-8756-9ad484ae9696_png.rf.0ff67a7a39c5d5c7c9739988d851c032.jpg", "expected": "COST OF LIVING\n\nThe following figures are a general guide to essential monthly expenses for an expatriate executive living in Azerbaijan.\n\nMarried\nSingle couple with\nperson two children\n(US$) (US$)\n\nRent 800 3,000\nFood 300 1,200\nTransport 150 300\nUtilities 100 150\nEducation n. a. 1,000\nMiscellaneous 500 1,000\n\nTotal 1,850 6,650", "predicted": "COST OF LIVING\n\nThe following figures are a general guide to\nessential monthly expenses for an expatriate\nexecutive living in Azerbaijan.\n\nMarried\nSingle couple with\nperson two children\n(US$) (US$)\nRent 800 3,000\nFood 300 1,200\nTransport 150 300\nUtilities 100 150\nEducation n. a. 1,000\nMiscellaneous 500 1,000\nTotal 1,850 6,650", "correct": true, "input_tokens": 1164, "output_tokens": 129, "elapsed_seconds": 3.7022465839982033, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9878, "attempts": 1, "retries": 0, "total_seconds": 3.7398}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 33, "image": "5327a38f-11a2-45f2-9a38-e1375dfbeb43_png.rf.b6a2243d098302d780056ad980a16a9c.jpg", "expected": "Probabilistic two-stage detection\n\ncosts of the second stage. Our second stage makes full use of years of progress in two-stage detection (Cai & Vasconcelos, 2018; Chen et al., 2019a) and yields a significant increase in detection accuracy over one-stage baselines. It also easily scales to large-vocabulary detection.\n\nExperiments on COCO (Lin et al., 2014), LVIS (Gupta et al., 2019), and Objects365 (Shao et al., 2019) demonstrate that our probabilistic two-stage framework boosts the accuracy of a strong CascadeRCNN model by 1-3 mAP, while also improving its speed. Using a standard ResNeXt-101-DCN backbone with a CenterNet (Zhou et al., 2019a) first stage, our detector achieves 50.2 mAP on COCO test-dev. With a strong Res2Net-101-DCN-BiFPN (Gao et al., 2019a; Tan et al., 2020b) backbone and self-training (Zoph et al., 2020), it achieves 56.4 mAP with single-scale testing, outperforming all published results. Using a small DLA-BiFPN backbone and lower input resolution, we achieve 49.2 mAP on COCO at 33 fps on a Titan Xp, outperforming the popular YOLOv4 model (43.5 mAP at 33 fps) on the same hardware. Code and models are release at https://github.com/xingyizhou/CenterNet2.\n\n2. Related Work\n\nOne-stage detectors jointly predict an output class and location of objects densely throughout the image. RetinaNet (Lin et al., 2017b) classifies a set of predefined sliding anchor boxes and handles the foreground-background imbalance by reweighting losses for each output. FCOS (Tian et al., 2019) and CenterNet (Zhou et al., 2019a) eliminate the need of multiple anchors per pixel and classify foreground/background by location. ATSS (Zhang et al., 2020b) and PAA (Kim & Lee, 2020) further improve FCOS by changing the definition of foreground and background. GFL (Li et al., 2020b) and Autoassign (Zhu et al., 2020a) change the hard foreground-background assignment to a weighted soft assignment. AlignDet (Chen et al., 2019c) uses a deformable convolution layer before the output to gather richer features for classification and regression. RepPoint (Yang et al., 2019) and DenseRepPoint (Yang et al., 2020) encode bounding boxes as the outline of a set of points and use the features of the point set for classification. BorderDet (Qiu et al., 2020) pools features along the bounding box for better localization. Most one-stage detectors have a sound probabilistic interpretation.\n\nWhile one-stage detectors have achieved competitive performance (Zhang et al., 2020b; Kim & Lee, 2020; Zhang et al., 2019; Li et al., 2020b; Zhu et al., 2020a), they usually rely on heavier separate classification and regression branches than two-stage models. In fact, they are no longer faster than their two-stage counterparts if the vocabulary (i.e., the set of object classes) is large (as in the LVIS or Objects365 datasets). Also, one-stage detectors only use the local features of the positive cell for regression and classification, which is sometimes misaligned with the object (Chen et al., 2019c; Song et al., 2020).\n\nOur probabilistic two-stage framework retains the probabilistic interpretation of one-stage detectors, but factorizes the probability distribution over multiple stages, improving both accuracy and speed.\n\nTwo-stage detectors first use a region proposal network (RPN) to generate coarse object proposals, and then use a dedicated per-region head to classify and refine them. Faster-RCNN (Ren et al., 2015; He et al., 2017) uses two fully-connected layers as the RoI heads. CascadeRCNN (Cai & Vasconcelos, 2018) uses three cascaded stages of Faster-RCNN, each with a different positive threshold so that the later stages focus more on localization accuracy. HTC (Chen et al., 2019a) utilizes additional instance and semantic segmentation annotations to enhance the inter-stage feature flow of CascadeRCNN. TSD (Song et al., 2020) decouples the classification and localization branches for each RoI.\n\nTwo-stage detectors are still more accurate in many settings (Gupta et al., 2019; Sun et al., 2020; Kuznetsova et al., 2018). Currently, all two-stage detectors use a relatively weak RPN that maximizes the recall of the top 1K proposals, and does not utilize the proposal score at test time. The large number of proposals slows the system down, and the recall-based proposal network does not directly offer the same clear probabilistic interpretation as one-stage detectors. Our framework addresses this, and integrates a strong class-agnostic single-stage object detector with later classification stages. Our first stage uses fewer, but higher quality, regions, yielding both faster inference and higher accuracy.\n\nOther detectors. A family of object detectors identify objects via points in the image. CornerNet (Law & Deng, 2018) detects the top-left and bottom-right corners and groups them using an embedding feature. ExtremeNet (Zhou et al., 2019b) detects four extreme points and groups them using an additional center point. Duan et al. (2019) detect the center point and use it to improve corner grouping. Corner Proposal Net (Duan et al., 2020) uses pairwise corner groupings as region proposals. CenterNet (Zhou et al., 2019a) detects the center point and regresses the bounding box parameters from it.\n\nDETR (Carion et al., 2020) and Deformable DETR (Zhu et al., 2020c) remove the dense output in a detector, and instead use a Transformer (Vaswani et al., 2017) that directly predicts a set of bounding boxes.\n\nThe major difference between point-based detectors, DETR, and conventional detectors lies in the network architecture. Point-based detectors use a fully-convolutional network (Newell et al., 2016; Yu et al., 2018), usually with symmetric downsampling and upsampling layers, and pro-", "predicted": "Probabilistic two-stage detection\n\ncosts of the second stage. Our second stage makes full use\nof years of progress in two-stage detection (Cai & Vascon-\ncelos, 2018; Chen et al., 2019a) and yields a significant\nincrease in detection accuracy over one-stage baselines. It\nalso easily scales to large-vocabulary detection.\n Experiments on COCO (Lin et al., 2014), LVIS (Gupta\net al., 2019), and Objects365 (Shao et al., 2019) demon-\nstrate that our probabilistic two-stage framework boosts the\naccuracy of a strong CascadeRCNN model by 1-3 mAP,\nwhile also improving its speed. Using a standard ResNeXt-\n101-DCN backbone with a CenterNet (Zhou et al., 2019a)\nfirst stage, our detector achieves 50.2 mAP on COCO test-\ndev. With a strong Res2Net-101-DCN-BiFPN (Gao et al.,\n2019a; Tan et al., 2020b) backbone and self-training (Zoph\net al., 2020), it achieves 56.4 mAP with single-scale testing,\noutperforming all published results. Using a small DLA-\nBiFPN backbone and lower input resolution, we achieve\n49.2 mAP on COCO at 33 fps on a Titan Xp, outperforming\nthe popular YOLOv4 model (43.5 mAP at 33 fps) on the\nsame hardware. Code and models are release at https:\n//github.com/xingyizhou/CenterNet2.\n\n2. Related Work\n\nOne-stage detectors jointly predict an output class and\nlocation of objects densely throughout the image. Reti-\nnaNet (Lin et al., 2017b) classifies a set of predefined sliding\nanchor boxes and handles the foreground-background im-\nbalance by reweighting losses for each output. FCOS (Tian\net al., 2019) and CenterNet (Zhou et al., 2019a) elimi-\nnate the need of multiple anchors per pixel and classify\nforeground/background by location. ATSS (Zhang et al.,\n2020b) and PAA (Kim & Lee, 2020) further improve FCOS\nby changing the definition of foreground and background.\nGFL (Li et al., 2020b) and Autoassign (Zhu et al., 2020a)\nchange the hard foreground-background assignment to a\nweighted soft assignment. AlignDet (Chen et al., 2019c)\nuses a deformable convolution layer before the output to\ngather richer features for classification and regression. Rep-\nPoint (Yang et al., 2019) and DenseRepPoint (Yang et al.,\n2020) encode bounding boxes as the outline of a set of\npoints and use the features of the point set for classification.\nBorderDet (Qiu et al., 2020) pools features along the bound-\ning box for better localization. Most one-stage detectors\nhave a sound probabilistic interpretation.\n While one-stage detectors have achieved competitive perfor-\nmance (Zhang et al., 2020b; Kim & Lee, 2020; Zhang et al.,\n2019; Li et al., 2020b; Zhu et al., 2020a), they usually rely\non heavier separate classification and regression branches\nthan two-stage models. In fact, they are no longer faster\nthan their two-stage counterparts if the vocabulary (i.e., the\nset of object classes) is large (as in the LVIS or Objects365\ndatasets). Also, one-stage detectors only use the local fea-\nture of the positive cell for regression and classification,\nwhich is sometimes misaligned with the object (Chen et al.,\n2019c; Song et al., 2020).\n Our probabilistic two-stage framework retains the proba-\nbilistic interpretation of one-stage detectors, but factorizes\nthe probability distribution over multiple stages, improving\nboth accuracy and speed.\nTwo-stage detectors first use a region proposal network\n(RPN) to generate coarse object proposals, and then use a\ndedicated per-region head to classify and refine them. Faster-\nRCNN (Ren et al., 2015; He et al., 2017) uses two fully-\nconnected layers as the RoI heads. CascadeRCNN (Cai &\nVasconcelos, 2018) uses three cascaded stages of Faster-\nRCNN, each with a different positive threshold so that the\nlater stages focus more on localization accuracy. HTC (Chen\net al., 2019a) utilizes additional instance and semantic seg-\nmentation annotations to enhance the inter-stage feature\nflow of CascadeRCNN. TSD (Song et al., 2020) decouples\nthe classification and localization branches for each RoI.\n Two-stage detectors are still more accurate in many set-\ntings (Gupta et al., 2019; Sun et al., 2020; Kuznetsova et al.,\n2018). Currently, all two-stage detectors use a relatively\nweak RPN that maximizes the recall of the top 1K propos-\nals, and does not utilize the proposal score at test time. The\nlarge number of proposals slows the system down, and the\nrecall-based proposal network does not directly offer the\nsame clear probabilistic interpretation as one-stage detec-\ntors. Our framework addresses this, and integrates a strong\nclass-agnostic single-stage object detector with later classi-\nfication stages. Our first stage uses fewer, but higher quality,\nregions, yielding both faster inference and higher accuracy.\nOther detectors. A family of object detectors iden-\ntify objects via points in the image. CornerNet (Law\n& Deng, 2018) detects the top-left and bottom-right cor-\nners and groups them using an embedding feature. Ex-\ntremeNet (Zhou et al., 2019b) detects four extreme points\nand groups them using an additional center point. Duan\net al. (2019) detect the center point and use it to improve\ncorner grouping. Corner Proposal Net (Duan et al., 2020)\nuses pairwise corner groupings as region proposals. Cen-\nterNet (Zhou et al., 2019a) detects the center point and\nregresses the bounding box parameters from it.\n DETR (Carion et al., 2020) and Deformable DETR (Zhu\net al., 2020c) remove the dense output in a detector, and\ninstead use a Transformer (Vaswani et al., 2017) that directly\npredicts a set of bounding boxes.\n The major difference between point-based detectors, DETR,\nand conventional detectors lies in the network architec-\nture. Point-based detectors use a fully-convolutional net-\nwork (Newell et al., 2016; Yu et al., 2018), usually with\nsymmetric downsampling and upsampling layers, and pro-", "correct": true, "input_tokens": 1156, "output_tokens": 1621, "elapsed_seconds": 17.466998041956685, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9791, "attempts": 1, "retries": 0, "total_seconds": 17.5051}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 34, "image": "f3701711-56c0-4e6d-94ad-edbe5931b13c_png.rf.0dfe995026d12d57bfa8621b501a51c9.jpg", "expected": "Table.10 Nutrient availability after harvesting of pigeon pea (pooled data of 3 years).\n\n
Tr.TreatmentsAvailable NAvailable PAvailable KDTPA-FeDTPA-ZnDTPA-CuDTPA-Mn
Kg ha-1mgkg-1
T1Absolute control (No Fertilizers)144.536.11535.003.350.411.114.60
T2RDF only (25:50:00 NPK/ha)147.517.21539.673.390.431.134.69
T3RDF+ 25 Kg K2O/ha148.427.57558.933.520.441.154.79
T4RDF+ 50 Kg K2O/ha154.517.71560.003.520.441.224.81
T5RDF+ 25 Kg K2O/ha+ Grade I micronutrient (soil application)154.697.59562.003.580.561.325.79
T6RDF+ 50Kg K2O/ha + Grade I micronutrient (soil application)157.918.16596.003.830.581.346.11
T7RDF+ 25 Kg K2O/ha + Grade II micronutrient (0.5 % foliar spray)155.407.90592.003.590.451.265.53
T8RDF+ 50 Kg K2O/ha + Grade II micronutrient (0.5 % foliar spray)157.058.12595.003.710.451.315.70
T9RDF+ 25 Kg K2O/ha + 2 % KNO3(foliar spray)148.677.60558.003.530.421.155.51
T10RDF+ 50 Kg K2O/ha + 2 % KNO3(foliar spray)152.517.77592.673.450.431.235.54
SEm (\u00b1)1.900.4111.300.020.020.010.32
CD at 5 %5.631.2733.540.060.030.97
Grand mean152.127.57568.933.540.081.225.31
\n\n13", "predicted": "**Table.10** Nutrient availability after harvesting of pigeon pea (pooled data of 3 years).\n\n
Tr.TreatmentsAvailable
N		Available
P		Available
K		DTPA-
Fe		DTPA-
Zn		DTPA-
Cu		DTPA-
Mn
Kg ha-1mgkg-1
T1Absolute control (No Fertilizers)144.536.11535.003.350.411.114.60
T2RDF only (25:50:00 NPK/ha)147.517.21539.673.390.431.134.69
T3RDF+ 25 Kg K2O/ha148.427.57558.933.520.441.154.79
T4RDF+ 50 Kg K2O/ha154.517.71560.003.520.441.224.81
T5RDF+ 25 Kg K2O/ha+ Grade I micronutrient (soil
application)		154.697.59562.003.580.561.325.79
T6RDF+ 50Kg K2O/ha + Grade I micronutrient (soil
application)		157.918.16596.003.830.581.346.11
T7RDF+ 25 Kg K2O/ha + Grade II micronutrient (0.5 %
foliar spray)		155.407.90592.003.590.451.265.53
T8RDF+ 50 Kg K2O/ha + Grade II micronutrient (0.5 %
foliar spray)		157.058.12595.003.710.451.315.70
T9RDF+ 25 Kg K2O/ha + 2 % KNO3(foliar spray)148.677.60558.003.530.421.155.51
T10RDF+ 50 Kg K2O/ha + 2 % KNO3(foliar spray)152.517.77592.673.450.431.235.54
SEm (\u00b1)1.900.4111.300.020.020.010.32
CD at 5 %5.631.2733.540.060.030.97
Grand mean152.127.57568.933.540.081.225.31
\n\n13", "correct": false, "input_tokens": 1194, "output_tokens": 1086, "elapsed_seconds": 10.828197291004471, "metadata": {"question": "Transcribe all text in this document exactly and completely, in reading order, preserving casing, punctuation, currency symbols, and codes. Use an HTML table only for genuinely tabular content, mirroring its rows, columns, and merged cells; write the HTML on single lines with no indentation or blank lines between tags, and collapse horizontal alignment to a single space.", "match_method": "similarity", "score": 0.9261, "attempts": 1, "retries": 0, "total_seconds": 10.861}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 35, "image": "c81c96a7-296d-4050-827a-f89309f7a523_png.rf.28cfadfc50dc15c7a43434f17af3489f.jpg", "expected": "will i am \nPlumbing & Heating\n\nBusiness Address \n24 Godwin House \nLondon, E2 8PH\n\n07851 499 470\n\n020 7 686 8226\n\ninfo@will-i-am-pnh.co.uk\n\nInvoice to: \nOrkun Acikgoz \nFlat 3 Pedlers Apartments, 1C Hewison \nStreet E3 2HZ\n\nInvoice No: 17065 \nDate: 12th May 2025\n\nRef: Flat 3 Pedlers Apartments, 1C Hewison \nStreet E3 2HZ\n\n
DESCRIPTIONQTYUNIT PRICETOTAL PRICE
Carried out an investigation, fault diagnosis and attempt to repair a leak going downstairs after the shower was used on 12/05/25 (2 hours on site - please refer to email for a report)2\u00a3100.00\u00a3200.00
Materials - x1 white silicone, x1 PTFE1\u00a310.78\u00a310.78
\n\n
SUBTOTAL:\u00a3210.78
20.0% S:\u00a342.16
TOTAL:\u00a3252.94
PAID:\u00a30.00
BALANCE DUE:\u00a3252.94
\n\nBank details as follows: \nBANK \u2013 HSBC \nwill i am Plumbing & Heating Limited \nSORT CODE \u2013 40-01-18 \nACCOUNT NO. - 41837478\n\n\u00a3252.94 due on 12th May 2025\n\nThank You", "predicted": "will i am\nPlumbing & Heating\n\nBusiness Address\n24 Godwin House\nLondon, E2 8PH\n\n07851 499 470\n\n020 7 686 8226\n\ninfo@will-i-am-pnh.co.uk\n\nInvoice to:\nOrkun Acikgoz\nFlat 3 Pedlers Apartments, 1C Hewison\nStreet E3 2HZ\n\nInvoice No: 17065\nDate: 12th May 2025\n\nRef: Flat 3 Pedlers Apartments, 1C Hewison\nStreet E3 2HZ\n\n
DESCRIPTIONQTYUNIT PRICETOTAL
PRICE
Carried out an investigation, fault diagnosis and attempt to repair a
leak going downstairs after the shower was used on 12/05/25 (2
hours on site - please refer to email for a report)		2\u00a3100.00\u00a3200.00
Materials - x1 white silicone, x1 PTFE1\u00a310.78\u00a310.78
\n\nSUBTOTAL: \u00a3210.78\n20.0% S: \u00a342.16\nTOTAL: \u00a3252.94\nPAID: \u00a30.00\nBALANCE DUE: \u00a3252.94\n\nBank details as follows:\nBANK \u2013 HSBC\nwill i am Plumbing & Heating Limited\nSORT CODE \u2013 40-01-18\nACCOUNT NO. - 41837478\n\n\u00a3252.94 due on 12th May 2025\n\nThank You", "correct": false, "input_tokens": 1194, "output_tokens": 404, "elapsed_seconds": 6.371450667036697, "metadata": {"question": "Transcribe all text in this document exactly and completely, in reading order, preserving casing, punctuation, currency symbols, and codes. Use an HTML table only for genuinely tabular content, mirroring its rows, columns, and merged cells; write the HTML on single lines with no indentation or blank lines between tags, and collapse horizontal alignment to a single space.", "match_method": "similarity", "score": 0.8373, "attempts": 1, "retries": 0, "total_seconds": 6.3961}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 36, "image": "b883e11d-433f-4c18-b0a5-11a0599a241b_png.rf.1efeebf4c96c16074b4f57edde37de47.jpg", "expected": "AUTORES\n\n01- ANA LUIZA BAPTISTA\n02- ANA MARA ALVES DE FREITAS\n03- AMANDA MACHADO AGUIAR\n04- ANDREA NICOLAU PASCHOAL\n05- CARLOS EDUARDO PEREIRA DE MELLO\n06- CRISTIANE HONDA\n07- DANIEL DELAZERI DE FARIA\n08- DIEGO VIEIRA DE SOUZA\n09- ILAN AKISABURO KIMURA\n10- MARIANA BOTELHO MENEGATTI\n11- MARINA PEINADO BERBERIAN\n12- MICHAEL MENDES\n13- RAFAEL DONIZETI SOUZA DE TOLEDO\n14- RAFAEL PADILLA\n15- RAFAEL SCHULIEN\n16- RENATA QUISSAK BARTELEGA PEIXOTO\n17- SILVIA RIBEIRO BROTTO\n18- THAIS NAGOSHI SUZUKI", "predicted": "AUTORES\n01- ANA LUIZA BAPTISTA\n02- ANA MARA ALVES DE FREITAS\n03- AMANDA MACHADO AGUIAR\n04- ANDREA NICOLAU PASCHOAL\n05- CARLOS EDUARDO PEREIRA DE MELLO\n06- CRISTIANE HONDA\n07- DANIEL DELAZERI DE FARIA\n08- DIEGO VIEIRA DE SOUZA\n09- ILAN AKISABURO KIMURA\n10- MARIANA BOTELHO MENEGATTI\n11- MARINA PEINADO BERBERIAN\n12- MICHAEL MENDES\n13- RAFAEL DONIZETI SOUZA DE TOLEDO\n14- RAFAEL PADILLA\n15- RAFAEL SCHULIEN\n16- RENATA QUISSAK BARTELEGA PEIXOTO\n17- SILVIA RIBEIRO BROTTO\n18- THAIS NAGOSHI SUZUKI", "correct": true, "input_tokens": 1176, "output_tokens": 214, "elapsed_seconds": 10.335622499929741, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.998, "attempts": 1, "retries": 0, "total_seconds": 10.4299}} diff --git a/results/ocr_gemini-4-argon-eap_low_20261012_223717.jsonl b/results/ocr_gemini-4-argon-eap_low_20261012_223717.jsonl deleted file mode 100644 index 509e223..0000000 --- a/results/ocr_gemini-4-argon-eap_low_20261012_223717.jsonl +++ /dev/null @@ -1,37 +0,0 @@ -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 0, "image": "4f770728-7b1f-4bf3-b877-e3d33fcc135d_png.rf.dffcaaeb26fd7fe4fd14891cb00a0adf.jpg", "expected": "100 Good Cookies\n1 cup white sugar 1 teaspoon baking soda\n1 cup brown sugar 1 cup quick oatmeal\n1 cup margarine 1 cup coconut\n1 cup cooking oil 1 cup Rice Krispies\n1 egg 1 cup chopped walnuts\n1 teaspoon vanilla 3\u00bd cups flour\n1 teaspoon cream of tartar 1-12oz. package mini\nchocolate chips\nMix in order given. Drop by teaspoonful onto cookie sheet. Bake at 350\u00b0 for 8-10 minutes.\n(over)", "predicted": "100 Good Cookies\n1 cup white sugar 1 teaspoon baking soda\n1 cup brown sugar 1 cup quick oatmeal\n1 cup margarine 1 cup coconut\n1 cup cooking oil 1 cup Rice Krispies\n1 egg 1 cup chopped walnuts\n1 teaspoon vanilla 3 \u00bd cups flour\n1 teaspoon cream of tartar 1 - 12oz. package mini\n chocolate chips\nMix in order given. Drop by teaspoonful onto\ncookie sheet. Bake at 350\u00b0 for 8-10 minutes.\n (over)", "correct": true, "input_tokens": 1163, "output_tokens": 118, "elapsed_seconds": 3.8259220420150086, "metadata": {"question": "Transcribe all handwritten and printed text exactly as written, reading top to bottom and left to right, and omit nothing; mark only genuinely unreadable words as [illegible]. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9846, "attempts": 1, "retries": 0, "total_seconds": 3.8537}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 1, "image": "0de03edc-15c5-4782-a74b-7cedb1df477b_png.rf.357da74f0ffbbb05467a6069097f2740.jpg", "expected": "(1) 8 + 7 = 15 (9) 17 - 9 = 8\n(2) 15 - 6 = 9 (10) 7 + 9 = 16\n(3) 9 + 4 = 13 (11) 14 - 8 = 6\n(4) 13 - 5 = 8 (12) 5 + 6 = 11\n(5) 6 + 8 = 14 (13) 16 - 7 = 9\n(6) 5 + 9 = 14 (14) 3 + 7 = 10", "predicted": "(1) 8 + 7 = 15 (9) 17 - 9 = 8\n(2) 15 - 6 = 9 (10) 7 + 9 = 16\n(3) 9 + 4 = 13 (11) 14 - 8 = 6\n(4) 13 - 5 = 8 (12) 5 + 6 = 11\n(5) 6 + 8 = 14 (13) 16 - 7 = 9\n(6) 5 + 9 = 14 (14) 3 + 7 = 10", "correct": true, "input_tokens": 1178, "output_tokens": 158, "elapsed_seconds": 3.499307959107682, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 1.0, "attempts": 1, "retries": 0, "total_seconds": 3.5142}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 2, "image": "861cb64d-800a-4635-999c-739199f8b473_png.rf.2dfcae9315498e5af9851962b9b1b65d.jpg", "expected": "2516 Country Club Rd.\nWinston Salem NC 27104\nJuly 17, 1981\n\nDr T S Osdene\nDirector of Research and Scientific Affairs\nPHILIP MORRIS USA\nResearch Center\nP.O Box 26583\nRichmond VA 23261\n\nDear Tom \u2014\n\nRe MDA NO/NOx Field Kit\n\nMDA requires prepayment before shipment\nof materials to private individuals. Accordingly\nI mailed check for $2505.00 for Kit yesterday.\nCopies for verification are enclosed. I presume\nthis will suffice to reimburse me.\n\nAs soon as MDA receives check, presumably\nJuly 20, Kit will be shipped to me by UPS and\nI will immediately trans ship by UPS to\nyou.\n\nCongrats on the birth of your son. Best wishes\nto Mrs Osdene and you.\n\n\u03a6000018736\n\nSincerely\nMurray", "predicted": "2516 Country Club Rd.\nWinston Salem NC 27104\nJuly 17, 1981\n\nDr T S Osdene\nDirector of Research and Scientific Affairs\nPHILIP MORRIS USA\nResearch Center\nP.O. Box 26583\nRichmond VA 23261\n\nDear Tom -\n\nRe MDA NO/NOx Field Kit\n\nMDA requires prepayment before shipment\nof materials to private individuals. Accordingly\nI mailed check for $2505.00 for kit yesterday.\nCopies for verification are enclosed. I presume\nthis will suffice to reimburse me.\n\nAs soon as MDA receives check, presumably\nJuly 20, kit will be shipped to me by UPS and\nI will immediately trans ship by UPS to\nyou.\n\nCongrats on the birth of your son. Best wishes\nto Mrs Osdene and you.\n\n1000018736\n\nSincerely\nMurray", "correct": true, "input_tokens": 1161, "output_tokens": 208, "elapsed_seconds": 4.563961375039071, "metadata": {"question": "Transcribe all handwritten and printed text exactly as written, reading top to bottom and left to right, and omit nothing; mark only genuinely unreadable words as [illegible]. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9926, "attempts": 1, "retries": 0, "total_seconds": 4.5813}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 3, "image": "bfe2208e-9dcb-4273-9781-be20d0ae766a_png.rf.2506b1cf22374cc1de2823bf766ef968.jpg", "expected": "Ent 103326 Bk 331 Pg 470\nDate: 20-JUN-2006 2:28PM\nORDINANCE NO. CO-06-5 Fee: None\nFiled By: AKT\nBRENDA NELSON, Recorder\nMORGAN COUNTY\nAN ORDINANCE ADOPTING THE STATE WILDLIFE RESOURCES CODE\nFOR MORGAN COUNTY.\n\nWHEREAS, the Morgan County Sheriff's Office is charged with the enforcement of\nregulations and laws relating to wildlife resources within Morgan County; and\n\nWHEREAS, in the course of the Sheriff's enforcement duties it is often necessary to cite\nindividuals for violations of the various state rules regulating wildlife resources; and\n\nWHEREAS, Morgan County would like to cite violators for county ordinance violations\nrather than state code violations since violators are processed by county enforcement officers,\nprosecuted in county courts by county prosecutors, and incarcerated, if necessary, in county jails;\n\nNOW THEREFOR, the County Council of Morgan County, State of Utah, hereby\nordains as follows:\n\nWILDLIFE RESOURCES ORDINANCE\n\nSection 1. Adoption of the Utah wildlife resources Code, Rules and Regulations\n\nThe Rules and Regulations contained in Utah Code Annotated Title 23, as amended, and the\nRules promulgated thereunder, are hereby adopted as the wildlife resources Code, Rules and\nRegulations of Morgan County. Any provisions of Title 23 providing a penalty greater than a\nClass B misdemeanor, or not relating to criminal or administrative sanctions, are not incorporated\nas part of this ordinance.\n\nSection 2. Amendments\n\nIn order to assure continuing uniformity between the Utah wildlife resources Rules and\nRegulations and the Morgan County wildlife resources Rules and Regulations, this Ordinance\nwill include any and all periodic amendments to the State Rules and Regulations, Title 23, after\nthe effective date of this title, made by the Utah State Legislature or by the Utah Department of\nNatural Resources.\n\nSection 3. Effective Date\n\nThis ordinance shall take effect 15 days after passage, after required publication and after a copy\nof the ordinance is deposited with the Morgan County Clerk's Office.\n\nAPPROVED, ADOPTED, AND PASSED and ordered published by the Morgan County\nCouncil, this 6th day of June, 2006.", "predicted": "Ent 103326 Bk 231 Pg 470\nDate: 20-JUN-2006 2:28PM\nFee: None\nFiled By: AKT\nBRENDA NELSON, Recorder\nMORGAN COUNTY\nFor: MORGAN COUNTY\n\nORDINANCE NO. CO-06-05\n\nAN ORDINANCE ADOPTING THE STATE WILDLIFE RESOURCES CODE\nFOR MORGAN COUNTY.\n\n WHEREAS, the Morgan County Sheriff's Office is charged with the enforcement of\nregulations and laws relating to wildlife resources within Morgan County; and\n\n WHEREAS, in the course of the Sheriff's enforcement duties it is often necessary to cite\nindividuals for violations of the various state rules regulating wildlife resources; and\n\n WHEREAS, Morgan County would like to cite violators for county ordinance violations\nrather than state code violations since violators are processed by county enforcement officers,\nprosecuted in county courts by county prosecutors, and incarcerated, if necessary, in county jails;\n\n NOW THEREFOR, the County Council of Morgan County, State of Utah, hereby\nordains as follows:\n\nWILDLIFE RESOURCES ORDINANCE\n\nSection 1. Adoption of the Utah wildlife resources Code, Rules and Regulations\n\nThe Rules and Regulations contained in Utah Code Annotated Title 23, as amended, and the\nRules promulgated thereunder, are hereby adopted as the wildlife resources Code, Rules and\nRegulations of Morgan County. Any provisions of Title 23 providing a penalty greater than a\nClass B misdemeanor, or not relating to criminal or administrative sanctions, are not incorporated\nas part of this ordinance.\n\nSection 2. Amendments\n\nIn order to assure continuing uniformity between the Utah wildlife resources Rules and\nRegulations and the Morgan County wildlife resources Rules and Regulations, this Ordinance\nwill include any and all periodic amendments to the State Rules and Regulations, Title 23, after\nthe effective date of this title, made by the Utah State Legislature or by the Utah Department of\nNatural Resources.\n\nSection 3. Effective Date\n\nThis ordinance shall take effect 15 days after passage, after required publication and after a copy\nof the ordinance is deposited with the Morgan County Clerk's Office.\n\n APPROVED, ADOPTED, AND PASSED and ordered published by the Morgan County\nCouncil, this 6th day of June , 2006.", "correct": true, "input_tokens": 1168, "output_tokens": 483, "elapsed_seconds": 5.673789583961479, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9665, "attempts": 1, "retries": 0, "total_seconds": 5.705}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 4, "image": "d6b410b8-2381-4e65-8113-2dbcca295990_png.rf.794671b291d105d363ebd6d8d93b3fc8.jpg", "expected": "THIS SENTENCE WAS WRITTEN BY SOMEONE WITH DYSGRAPHIA", "predicted": "[model returned no content]", "correct": false, "input_tokens": 1181, "output_tokens": 18, "elapsed_seconds": 2.8364261660026386, "metadata": {"question": "Transcribe all handwritten and printed text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.0577, "attempts": 1, "retries": 0, "total_seconds": 2.849}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 5, "image": "9c225ac4-3b44-42cf-a0dc-4a3984c5bac9_png.rf.1455a695dcdb15839a0deb51bf270c04.jpg", "expected": "When I built menugen ~1 year ago, I observed that the hardest part by far was not the code itself, it was the plethora of services you have to assemble like IKEA furniture to make it real, the DevOps: services, payments, auth, database, security, domain names, etc...\n\nI am really looking forward to a day where I could simply tell my agent: \"build menugen\" (referencing the post) and it would just work. The whole thing up to the deployed web page. The agent would have to browse a number of services, read the docs, get all the api keys, make everything work, debug it in dev, and deploy to prod. This is the actually hard part, not the code itself. Or rather, the better way to think about it is that the entire DevOps lifecycle has to become code, in addition to the necessary sensors/actuators of the CLIs/APIs with agent-native ergonomics. And there should be no need to visit web pages, click buttons, or anything like that for the human.\n\nIt's easy to state, it's now just barely technically possible and expected to work maybe, but it definitely requires from-scratch re-design, work and thought. Very exciting direction!", "predicted": "Andrej Karpathy\n@karpathy\n\nWhen I built menugen ~1 year ago, I observed that the hardest part by far was not the code itself, it was the plethora of services you have to assemble like IKEA furniture to make it real, the DevOps: services, payments, auth, database, security, domain names, etc...\n\nI am really looking forward to a day where I could simply tell my agent: \"build menugen\" (referencing the post) and it would just work. The whole thing up to the deployed web page. The agent would have to browse a number of services, read the docs, get all the api keys, make everything work, debug it in dev, and deploy to prod. This is the actually hard part, not the code itself. Or rather, the better way to think about it is that the entire DevOps lifecycle has to become code, in addition to the necessary sensors/actuators of the CLIs/APIs with agent-native ergonomics. And there should be no need to visit web pages, click buttons, or anything like that for the human.\n\nIt's easy to state, it's now just barely technically possible and expected to work maybe, but it definitely requires from-scratch re-design, work and thought. Very exciting direction!\n\u7ffb\u8bd1\u5e16\u5b50", "correct": true, "input_tokens": 1173, "output_tokens": 274, "elapsed_seconds": 4.6582468749256805, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom, keeping each author's handle with their message, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the top-level tweet authored by Andrej Karpathy (@karpathy).", "match_method": "similarity", "score": 0.9725, "attempts": 1, "retries": 0, "total_seconds": 4.6723}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 6, "image": "9fdae0ac-7d89-45f1-b628-bcdbac72c185_png.rf.7b62d1c22ac071a0003f46d2feaae5e5.jpg", "expected": "```javascript\nconst BROWSER_APP_NAMES = new Set([\n \"google chrome\",\n \"google chrome canary\",\n \"chromium\",\n \"microsoft edge\",\n \"mozilla firefox\",\n \"firefox\",\n \"opera\",\n \"brave browser\",\n \"vivaldi\",\n \"arc\",\n]);\n```", "predicted": "```javascript\nconst BROWSER_APP_NAMES = new Set([\n \"google chrome\",\n \"google chrome canary\",\n \"chromium\",\n \"microsoft edge\",\n \"mozilla firefox\",\n \"firefox\",\n \"opera\",\n \"brave browser\",\n \"vivaldi\",\n \"arc\",\n]);\n```", "correct": false, "input_tokens": 1219, "output_tokens": 80, "elapsed_seconds": 3.666151999961585, "metadata": {"question": "Transcribe every piece of text in this screenshot exactly as written, in reading order, and omit nothing. Put source code inside fenced code blocks, preserving indentation, quotes, and casing exactly, and transcribe surrounding interface text as Markdown. Transcribe only the definition of the `BROWSER_APP_NAMES` constant shown in the code editor, and ignore all other code, the editor chrome, file tabs, sidebars, and the terminal.", "match_method": "similarity", "score": 0.9107, "attempts": 1, "retries": 0, "total_seconds": 3.6903}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 7, "image": "5cf55f37-8adb-4adb-9520-148340548028_png.rf.d09a7340877434f1cbdb25f1eccd4774.jpg", "expected": "TOM GREEN HANDYMAN\n5 Any Street, Any City, That Area Code\nTelephone: 0800 XXX XXX\n\nDate : 6/5/2016\nInvoice No : 0003521\nTax Registered No 123456\n\nMr and Mrs Fielding\nThis Address\nThis City\nThis Area Code\n\nTAX INVOICE\n\n
QuantityDescriptionUnit PriceCost
Upgrade to Bathroom
23.75Labour40.00950.00
50Nails and screws0.8040.00
1Paint and Plywood1000.001000.00
40Imported wall tiles14.00560.00
1Freight150.00150.00
1Sub-contractor : Tile-It228.00
Subtotal2928.00
Tax439.20
Total Due$3,367.20
\n\nPayment due by the 10th of the month following the date of invoice.\nPlease make payment into Bank Account No. 12 3456 789112 012\n\nInterest of 10% per year will be charged on late payments.\n\nCut here\n\nRemittance\n\nMr and Mrs Fielding\n\nTOM GREEN HANDYMAN\n5 Any Street\nAny City\nThat Area Code\n\nAmount Due $3,367.20\nAmount Paid ______", "predicted": "**TOM GREEN HANDYMAN**\n**5 Any Street, Any City, That Area Code**\n**Telephone: 0800 XXX XXX**\n\n**Date :** 6/5/2016 **Invoice No :** 0003521\n\n**Tax Registered No 123456**\nMr and Mrs Fielding\nThis Address\nThis City\nThis Area Code\n\n**T A X I N V O I C E**\n\n
QuantityDescriptionUnit PriceCost
Upgrade to Bathroom
23.75Labour40.00950.00
50Nails and screws0.8040.00
1Paint and Plywood1000.001000.00
40Imported wall tiles14.00560.00
1Freight150.00150.00
1Sub-contractor : Tile-It228.00
Subtotal2928.00
Tax439.20
Total Due$3,367.20
\n\nPayment due by the 10th of the month following the date of invoice.\nPlease make payment into Bank Account No. **12 3456 789112 012**\n\nInterest of 10% per year will be charged on late payments.\n\n---\n**Cut here**\n**Remittance**\n**Mr and Mrs Fielding**\nTOM GREEN HANDYMAN\n5 Any Street **Amount Due $3,367.20**\nAny City\nThat Area Code **Amount Paid** \\_\\_\\_\\_\\_\\_\\_\\_\\_\\_", "correct": false, "input_tokens": 1194, "output_tokens": 473, "elapsed_seconds": 5.5760907920775935, "metadata": {"question": "Transcribe all text in this document exactly and completely, in reading order, preserving casing, punctuation, currency symbols, and codes. Use an HTML table only for genuinely tabular content, mirroring its rows, columns, and merged cells; write the HTML on single lines with no indentation or blank lines between tags, and collapse horizontal alignment to a single space.", "match_method": "similarity", "score": 0.8668, "attempts": 1, "retries": 0, "total_seconds": 5.5894}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 8, "image": "1bce4a54-e6bc-4752-b48e-d9889895936a_png.rf.6f12b4139eeac41161f2fb59dad48237.jpg", "expected": "I run hermes handling whatsapp, email, cron jobs, building apps, outreaching customers, outbound and inbound calls \u2014 the whole thing. hasn't needed babysitting in weeks. if you're on the fence just try it. worst case you go back. but I don't think you will", "predicted": "Falcon @Falconve_ \u00b7 6\u5c0f\u65f6 ...\nI run hermes handling whatsapp, email, cron jobs, building apps,\noutreaching customers, outbound and inbound calls \u2014 the whole thing.\nhasn't needed babysitting in weeks. if you're on the fence just try it. worst\ncase you go back. but I don't think you will", "correct": false, "input_tokens": 1159, "output_tokens": 81, "elapsed_seconds": 3.659517833031714, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom, keeping each author's handle with their message, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the last (bottom-most) tweet in the thread by Falcon (@Falconve_).", "match_method": "similarity", "score": 0.8908, "attempts": 1, "retries": 0, "total_seconds": 3.691}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 9, "image": "eb592312-33c0-41ff-91ec-6e87ad25f12e_png.rf.ad80ac2d57c33733bd20600e13e312f3.jpg", "expected": "(SAE09TR.72) A 13-year-old girl sustained an isolated midshaft left femoral fracture in a motor vehicle accident. The fracture was treated with a rigid, antegrade intramedullary nail placed through the piriformis fossa. The fracture healed uneventfully, as shown in Figure 46a; however, at 12 months postoperatively she now reports left hip pain. A current AP radiograph and MRI scan are shown in Figures 46b and 46c. What complication occurred in this patient? Review Topic\n\n1 Chondrolysis\n2 Ischemic necrosis of the femoral head\n3 Ischemic necrosis of the greater trochanter\n4 Femoral neck fracture\n5 Trochanteric overgrowth\n\nPREFERRED RESPONSE 2\n\nThe development of femoral head ischemic necrosis is the iatrogenically created complication in this skeletally immature patient. Placement of a rigid, antegrade intramedullary nail through the piriformis fossa is likely to damage the vascular supply to the femoral head as the vessels ascend the femoral neck on the way to the femoral head. The MRI scan reveals ischemic necrosis with early collapse of the femoral head. The joint space is preserved on the MRI scan, ruling out chondrolysis.\n\n(SAE08OS.196) An adult patient has had low-grade fevers, malaise, and joint pain for the past several days. Examination reveals an erythematous \"bulls eye\" rash over the right thigh (erythema migrans). What is the organism associated with this infection? Review Topic", "predicted": "(SAE09TR.72) A 13-year-old girl sustained an isolated midshaft left femoral fracture in a motor vehicle accident. The fracture was treated with a rigid, antegrade intramedullary nail placed through the piriformis fossa. The fracture healed uneventfully, as shown in Figure 46a; however, at 12 months postoperatively she now reports left hip pain. A current AP radiograph and MRI scan are shown in Figures 46b and 46c. What complication occurred in this patient? Review Topic\n\n![img-0.jpeg](img-0.jpeg)\n\n![img-1.jpeg](img-1.jpeg)\n\n![img-2.jpeg](img-2.jpeg)\n\n*1* Chondrolysis\n*2* Ischemic necrosis of the femoral head\n*3* Ischemic necrosis of the greater trochanter\n*4* Femoral neck fracture\n*5* Trochanteric overgrowth\n\nPREFERRED RESPONSE 2\n\nThe development of femoral head ischemic necrosis is the iatrogenically created complication in this skeletally immature patient. Placement of a rigid, antegrade intramedullary nail through the piriformis fossa is likely to damage the vascular supply to the femoral head as the vessels ascend the femoral neck on the way to the femoral head. The MRI scan reveals ischemic necrosis with early collapse of the femoral head. The joint space is preserved on the MRI scan, ruling out chondrolysis.\n\n(SAE08OS.196) An adult patient has had low-grade fevers, malaise, and joint pain for the past several days. Examination reveals an erythematous \"bulls eye\" rash over the right thigh (erythema migrans). What is the organism associated with this infection? Review Topic", "correct": false, "input_tokens": 1169, "output_tokens": 376, "elapsed_seconds": 5.122500000055879, "metadata": {"question": "Transcribe every piece of text in this image exactly as written, in reading order, preserving question and option numbering, and omit nothing. Write mathematical expressions in LaTeX and format the result as Markdown that mirrors the layout.", "match_method": "similarity", "score": 0.9394, "attempts": 1, "retries": 0, "total_seconds": 5.1581}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 10, "image": "c50bed4d-e825-46b7-ac5c-a84806fa0481_png.rf.dbad52cae24c6759d646ebb0ad6c30a3.jpg", "expected": "```python\nimport random\n\ndef roll_dice(n=2, sides=6):\n return [random.randint(1, sides) for _ in range(n)]\n\ndef magic_8ball():\n responses = [\n \"Yes\", \"No\", \"Maybe\", \"Ask again later\",\n \"Absolutely\", \"No way\", \"Signs point to yes\",\n \"Don't count on it\", \"Without a doubt\",\n ]\n return random.choice(responses)\n\nif __name__ == \"__main__\":\n print(f\"Rolling 2 dice: {roll_dice()}\")\n print(f\"Magic 8-Ball says: {magic_8ball()}\")\n print(f\"Your lucky number: {random.randint(1, 100)}\")\n```", "predicted": "```python\nimport random\n\ndef roll_dice(n=2, sides=6):\n return [random.randint(1, sides) for _ in range(n)]\n\ndef magic_8ball():\n responses = [\n \"Yes\", \"No\", \"Maybe\", \"Ask again later\",\n \"Absolutely\", \"No way\", \"Signs point to yes\",\n \"Don't count on it\", \"Without a doubt\",\n ]\n return random.choice(responses)\n\nif __name__ == \"__main__\":\n print(f\"Rolling 2 dice: {roll_dice()}\")\n print(f\"Magic 8-Ball says: {magic_8ball()}\")\n print(f\"Your lucky number: {random.randint(1, 100)}\")\n```", "correct": true, "input_tokens": 1171, "output_tokens": 180, "elapsed_seconds": 6.019190541002899, "metadata": {"question": "Transcribe every piece of text in this screenshot exactly as written, in reading order, and omit nothing. Put source code inside fenced code blocks, preserving indentation, quotes, and casing exactly, and transcribe surrounding interface text as Markdown. Transcribe only the code shown in the editor pane, ignoring the editor chrome, file tabs, sidebars, and the line-number gutter.", "match_method": "similarity", "score": 1.0, "attempts": 1, "retries": 0, "total_seconds": 6.1401}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 11, "image": "d0980bab-2f15-4550-b3e6-813a2ad7e709_png.rf.4002baedf14c91e52686c70ec58fd7f0.jpg", "expected": "Example 3 (HW)\nEach of the numbers 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 is written\non a separate piece of paper. The 10 pieces of paper\nare then placed in a hat. If one piece of paper is\nselected at random from hat, estimate the probability\nthat:\n(i) the number written on piece of paper is an even\nnumber or greater than 6.\n(ii) the number written on piece of paper is less than 5\nor greater than 8.\n(iii) the number written on piece of paper is divisible by 4.\n(iv) the \" \" \" \" \" \" \" at least 7.\n(v) \" \" \" \" \" \" \" at most 3.", "predicted": "Example 3 (HW)\nEach of the numbers 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 is written\non a separate piece of paper. The 10 pieces of paper\nare then placed in a hat. If one piece of paper is\nselected at random from hat, estimate the probability\nthat:\n(i) the number written on piece of paper is an even\n number or greater than 6.\n(ii) the number written on piece of paper is less than 5\n or greater than 8.\n(iii) the number written on piece of paper is divisible by 4.\n(iv) the \" \" \" \" \" \" \" at least 7.\n(v) \" \" \" \" \" \" \" \" at most 3.\nCS Scanned with CamScanner", "correct": false, "input_tokens": 1180, "output_tokens": 192, "elapsed_seconds": 6.900601083994843, "metadata": {"question": "Transcribe all handwritten and printed text exactly as written, reading top to bottom and left to right, and omit nothing; mark only genuinely unreadable words as [illegible]. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9436, "attempts": 1, "retries": 0, "total_seconds": 6.9586}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 12, "image": "00099ca8-7388-4ccb-a9ae-0def0f38e1d4_png.rf.87454ebaa2a188c18aadac0664ef70f6.jpg", "expected": "I'm losing so much money every single second I dont spend in the states. Every day I wake up, I'm hyperventilating about the fact that I am irresponsibly putting my young family's future at great risk because I can't but help listen to my gut. I am filled with doubt every day", "predicted": "kache @yacineMTB \u00b7 9\u5c0f\u65f6 ...\nI'm losing so much money every single second I dont spend in the states.\nEvery day I wake up, I'm hyperventilating about the fact that I am\nirresponsibly putting my young family's future at great risk because I can't\nbut help listen to my gut. I am filled with doubt every day\n\n stainlesssteelcockroach @stainle55446702 \u00b7 10\u5c0f\u65f6\n \u56de\u590d @yacineMTB\n You would like it down south as well. Where engineers are honored as\n the future.....\n\n40 1 248 2.5\u4e07", "correct": false, "input_tokens": 1188, "output_tokens": 146, "elapsed_seconds": 3.5215623329859227, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom, keeping each author's handle with their message, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the first tweet by kache (@yacineMTB).", "match_method": "similarity", "score": 0.5809, "attempts": 1, "retries": 0, "total_seconds": 3.5382}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 13, "image": "838b00ad-2a6d-4bc7-84a3-d3cb3e6fdfb8_png.rf.86b85c55a59bba487946e192adc78406.jpg", "expected": "The French Revolution began in 1789 in France and was caused by several political, social, and economic factors. One major cause was the inequality in the social structure known as the Estates System, where the clergy and nobility enjoyed privileges while the common people had to pay heavy taxes. Another cause was the financial crisis faced by the monarchy due to wars and extravagant spending by Louis XVI and the royal court.\n\nThe influence of Enlightenment thinkers also played a significant role. Philosophers like Jean-Jacques Rousseau and Voltaire promoted ideas of liberty, equality, and popular sovereignty. These ideas encouraged people to question the authority of the monarchy.\n\nThe revolution had major effects on French society and politics. The monarchy was abolished, and France eventually became a republic. The revolution led to the Reign of Terror, during which many people were executed. In the long term, the revolution spread the ideals of liberty, equality, and fraternity across Europe and influenced many future democratic movements.", "predicted": "The French Revolution began in 1789 in France and was caused by several political, social, and economic factors. One major cause was the\ninequality in the social structure known as the Estates System, where the clergy and nobility enjoyed privileges while the common people had\nto pay heavy taxes. Another cause was the financial crisis faced by the monarchy due to wars and extravagant spending by Louis XVI and the\nroyal court.\n\nThe influence of Enlightenment thinkers also played a significant role. Philosophers like Jean-Jacques Rousseau and Voltaire promoted ideas\nof liberty, equality, and popular sovereignty. These ideas encouraged people to question the authority of the monarchy.\n\nThe revolution had major effects on French society and politics. The monarchy was abolished, and France eventually became a republic. The\nrevolution led to the Reign of Terror, during which many people were executed. In the long term, the revolution spread the ideals of\nliberty, equality, and fraternity across Europe and influenced many future democratic movements.", "correct": true, "input_tokens": 1140, "output_tokens": 203, "elapsed_seconds": 3.6287042920012027, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9943, "attempts": 1, "retries": 0, "total_seconds": 3.6395}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 14, "image": "efe6537c-b164-43c1-8a9b-a329c7b96ec1_png.rf.96d23b9a67c8c503dd57cc8ddb11363b.jpg", "expected": "Clinical Nurse Manager Sep 2012 \u2013 Jul 2014\nBarron Center \u2013 Portland, ME\nManaged nursing operations on a 26-bed skilled rehabilitation unit, ensuring effective clinical care delivery.\n\u2022 Supervised nursing staff performance and provided ongoing competency evaluations.\n\u2022 Developed individualized care plans in collaboration with physicians and rehabilitation teams.\n\u2022 Implemented policies and procedures to meet regulatory and accreditation requirements.\n\nRegistered Nurse, Medical-Surgical Unit (Float Pool) Jun 2012 \u2013 Sep 2012\nMercy Hospital \u2013 Portland, ME\nProvided direct patient care within medical-surgical units, ensuring safe and effective treatment delivery.\n\u2022 Performed comprehensive physical assessments and monitored patient progress.\n\u2022 Administered medications and documented interventions per hospital protocols.\n\u2022 Collaborated with multidisciplinary teams to coordinate and plan care.\n\nEDUCATION, CERTIFICATIONS & LICENSURE\n\nBachelor of Science in Nursing (BSN)\nWestern Governors University, Salt Lake City, UT | Graduated January 2019\n\nAssociate of Science in Nursing (ASN)\nCollege of Nursing and Health Professions, Lewiston, ME | Graduated May 2010\n\nCertifications & Licensure\n\u2022 Registered Nurse (RN License #R057634) \u2013 State of Maine\n\u2022 Basic Life Support (BLS) \u2013 Current through December 2027\n\u2022 Educated in: Accountable Care Organizations (ACOs), Patient-Driven Payment Model (PDPM)\n\u2022 Clinical Systems Proficiency: Cerner / PowerChart, EPIC, Quantum, PointClickCare\n\u2022 Utilization Review Tools: InterQual, NaviHealth, CarePort\n\u2022 Analytics & Administrative Systems: Salesforce, Tableau, Microsoft Excel & PowerPoint, ADP, SAP Concur\n\nSKILLS & ADDITIONAL INFORMATION\n\nTechnical Skills\n\u2022 Clinical Systems & EMRs: Cerner / PowerChart, EPIC, Quantum, PointClickCare\n\u2022 Utilization Management Tools: InterQual, NaviHealth, CarePort\n\u2022 Data & Analytics Platforms: Tableau, Salesforce\n\u2022 Productivity Software: Microsoft Office Suite (Excel, PowerPoint, Word, Outlook)\n\u2022 Administrative Systems: ADP, SAP Concur\n\u2022 Quality & Compliance Tools: Electronic Health Record Audit Systems, Core Measure Review PlatformDedicated and results-\ndriven Recruiter/Talent Acquisition Specialist.\n\nPersonal Strengths\n\u2022 Strong leadership and team mentorship abilities\n\u2022 Critical thinking and complex problem-solving\n\u2022 Effective interdisciplinary communication and collaboration\n\u2022 Process improvement and workflow optimization\n\u2022 Independent and solution-focused decision-making\n\u2022 High attention to detail and documentation accuracy\n\u2022 Adaptable to evolving healthcare technologies and remote environments\n\u2022 Empathetic approach to patient advocacy and care coordination\n\nReferences are available upon request", "predicted": "Clinical Nurse Manager Sep 2012 - Jul 2014\nBarron Center - Portland, ME\nManaged nursing operations on a 26-bed skilled rehabilitation unit, ensuring effective clinical care delivery.\n \u2022 Supervised nursing staff performance and provided ongoing competency evaluations.\n \u2022 Developed individualized care plans in collaboration with physicians and rehabilitation teams.\n \u2022 Implemented policies and procedures to meet regulatory and accreditation requirements.\n\nRegistered Nurse, Medical-Surgical Unit (Float Pool) Jun 2012 - Sep 2012\nMercy Hospital - Portland, ME\nProvided direct patient care within medical-surgical units, ensuring safe and effective treatment delivery.\n \u2022 Performed comprehensive physical assessments and monitored patient progress.\n \u2022 Administered medications and documented interventions per hospital protocols.\n \u2022 Collaborated with multidisciplinary teams to coordinate and plan care.\n\nEDUCATION, CERTIFICATIONS & LICENSURE\n\nBachelor of Science in Nursing (BSN)\nWestern Governors University, Salt Lake City, UT | Graduated January 2019\n\nAssociate of Science in Nursing (ASN)\nCollege of Nursing and Health Professions, Lewiston, ME | Graduated May 2010\n\nCertifications & Licensure\n \u2022 Registered Nurse (RN License #R057634) - State of Maine\n \u2022 Basic Life Support (BLS) - Current through December 2027\n \u2022 Educated in: Accountable Care Organizations (ACOs), Patient-Driven Payment Model (PDPM)\n \u2022 Clinical Systems Proficiency: Cerner / PowerChart, EPIC, Quantum, PointClickCare\n \u2022 Utilization Review Tools: InterQual, NaviHealth, CarePort\n \u2022 Analytics & Administrative Systems: Salesforce, Tableau, Microsoft Excel & PowerPoint, ADP, SAP Concur\n\nSKILLS & ADDITIONAL INFORMATION\n\nTechnical Skills\n \u2022 Clinical Systems & EMRs: Cerner / PowerChart, EPIC, Quantum, PointClickCare\n \u2022 Utilization Management Tools: InterQual, NaviHealth, CarePort\n \u2022 Data & Analytics Platforms: Tableau, Salesforce\n \u2022 Productivity Software: Microsoft Office Suite (Excel, PowerPoint, Word, Outlook)\n \u2022 Administrative Systems: ADP, SAP Concur\n \u2022 Quality & Compliance Tools: Electronic Health Record Audit Systems, Core Measure Review PlatformDedicated and results-\n driven Recruiter/Talent Acquisition Specialist.\n\nPersonal Strengths\n \u2022 Strong leadership and team mentorship abilities\n \u2022 Critical thinking and complex problem-solving\n \u2022 Effective interdisciplinary communication and collaboration\n \u2022 Process improvement and workflow optimization\n \u2022 Independent and solution-focused decision-making\n \u2022 High attention to detail and documentation accuracy\n \u2022 Adaptable to evolving healthcare technologies and remote environments\n \u2022 Empathetic approach to patient advocacy and care coordination\n\nReferences are available upon request", "correct": true, "input_tokens": 1178, "output_tokens": 557, "elapsed_seconds": 6.131033333018422, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9879, "attempts": 1, "retries": 0, "total_seconds": 6.1483}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 15, "image": "e21e8de4-67cb-4b99-acaf-7c73dc28df9f_png.rf.c9c271f7c9fe67f7186ee45aebf42a40.jpg", "expected": "ACS PLUS\n\nADVERTISING COMMUNICATION SERVICES\n\nBloc 17 App 233 1003 Cit\u00e9 les Olympiades\n\nTEL 71 771 324 FAX 71 770 682\n\nCode TVA1243006M/A/M/000\n\nEmail: acs.info@topnet.tn\n\nDEVIS N\u00b0 89-24\n\nClient: IEEE\n\nCode TVA:\n\nAdresse:\n\nT\u00e9l: Fax:\n\nTunis le 12/04/24\n\nCCB : 03210119011500465159A BNA KHERREDINE PACHA\n\n
R\u00e9f\u00e9renceD\u00e9signationQuantit\u00e9P. U.T.V.A.P.H.T.
Rollup 2 x 0,851170.00019%170.000
Pins1201.40019%168.000
Affiche A4 120 g impression R/V301.00019%30.000
Total H.T.368.000
Remise
Total HT368.000
\n\n
Total T.V.A. 10%
Total T.V.A. 7%
Total T.V.A. 19%69.920
Total T.V.A. 29%
Timbre Fiscal1.000
Total T.T.C.438.920
\n\n,\n\nArr\u00eat\u00e9 le pr\u00e9sent devis \u00e0 la somme de:\n\nDIRECTION COMMERCIALE", "predicted": "# ACS PLUS\nADVERTISING COMMUNICATION SERVICES\n---\nBloc 17 App 233 1003 Cit\u00e9 les Olympiades\nTEL 71 771 324 FAX 71 770 682\nCode TVA1243006M/A/M/000\nEmail: acs.info@topnet.tn\n\n# DEVIS N\u00b0 89-24\n\nClient: IEEE\nCode TVA:\nAdresse:\nT\u00e9l: Fax:\n\nTunis le 12/04/24\n\nCCB: 03210119011500465159A BNA KHERREDINE PACHA\n\n
R\u00e9f\u00e9renceD\u00e9signationQuantit\u00e9P. U.T.V.A.P.H.T.
Rollup 2 x 0,851170.00019%170.000
Pins1201.40019%168.000
Affiche A4 120 g impression R/V301.00019%30.000
Total H.T.368.000
Remise
Total HT368.000
\n\n
Total T.V.A. 10%
Total T.V.A. 7%
Total T.V.A. 19%69.920
Total T.V.A. 29%
Timbre Fiscal1.000
Total T.T.C.438.920
\n\n'\nArr\u00eat\u00e9 le pr\u00e9sent devis \u00e0 la somme de:\n\nDIRECTION COMMERCIALE", "correct": false, "input_tokens": 1194, "output_tokens": 523, "elapsed_seconds": 6.46390012500342, "metadata": {"question": "Transcribe all text in this document exactly and completely, in reading order, preserving casing, punctuation, currency symbols, and codes. Use an HTML table only for genuinely tabular content, mirroring its rows, columns, and merged cells; write the HTML on single lines with no indentation or blank lines between tags, and collapse horizontal alignment to a single space.", "match_method": "similarity", "score": 0.9174, "attempts": 1, "retries": 0, "total_seconds": 6.471}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 16, "image": "280f2634-897d-499e-9e0e-2426fb6ed193_png.rf.de84ffe2f1cd78e0c4f16f319320c449.jpg", "expected": "Deloitte.\n\nDeloitte Touche Tohmatsu\nIndia LLP\nPrestige Trade Tower, Level 19\n46, Palace Road, High Grounds\nBengaluru - 560 001\nKarnataka, India\n\nTel: +91 80 6188 6000\nFax: +91 80 6188 6011\nwww.deloitte.com\n\nStrictly Private and Confidential\n\nDate: 8 July, 2025\n\nFlipkart Internet Private Limited\nAlyssa Begonia and Clover,\nEmbassy Tech Village ORR,\nDevarabeesanahalli Village,\nVarthur Hobli, Bangalore - 560103, Karnataka\n\nKind Attention: Mr. Kamal Chopra\n\nDear Sir,\n\nRe: Indirect Tax Services \u2013 Engagement Letter\n\nWe thank you for giving an opportunity to Deloitte Touche Tohmatsu India LLP (\u201cDTTI LLP\u201d or \u201cService Provider\u201d) to assist FLIPKART INTERNET PRIVATE LIMITED (\u201cClient\u201d/\u201dFKN\u201d/\u201dCompany\u201d) in Indirect tax services (\u201cServices\u201d) for the benefit of the Client and the subsidiaries and/or Affiliates of the Client as specified in Annexure-2.\n\n(The identified subsidiaries and Affiliates in Annexure-2 together with the Client, are hereinafter collectively referred to as \u201cBeneficiary/(ies)\u201d). The Services will be provided in accordance with and subject to the provisions of this engagement letter (including any Work Orders/Statement of Work and Annexures 1, 2, 3, 4, 5 and 6 hereto) (\u201cEngagement Letter\u201d) and the Standard Tax Terms attached hereto (the Engagement Letter and Standard Tax Terms hereinafter are collectively referred to as collectively \u201cContract\u201d).\n\n1. BACKGROUND\n\n1.1 Flipkart Internet Private Limited is a company which owns the E-commerce portal \u201cFlipkart.com\u201d. It functions as a marketplace wherein various business entities can list their products in the website in return to a fee charged to use its portal.\n\n1.2 We further understand that the company receives revenue through payment gateway services, hosting services, advertisement services, etc and is also engaged in fulfilment services rendered to the sellers listed on the website.\n\n1.3 We would be glad to provide assistance, more specifically described in below paragraph(s).", "predicted": "Deloitte.\n\nDeloitte Touche Tohmatsu\nIndia LLP\nPrestige Trade Tower, Level 19\n46, Palace Road, High Grounds\nBengaluru - 560 001\nKarnataka, India\n\nTel: +91 80 6188 6000\nFax: +91 80 6188 6011\nwww.deloitte.com\n\nStrictly Private and Confidential\n\nDate: 8 July, 2025\n\nFlipkart Internet Private Limited\nAlyssa Begonia and Clover,\nEmbassy Tech Village ORR,\nDevarabeesanahalli Village,\nVarthur Hobli, Bangalore - 560103, Karnataka\n\nKind Attention: Mr. Kamal Chopra\n\nDear Sir,\nRe: Indirect Tax Services \u2013 Engagement Letter\n\nWe thank you for giving an opportunity to Deloitte Touche Tohmatsu India LLP (\"DTTI LLP\" or \"Service\nProvider\") to assist FLIPKART INTERNET PRIVATE LIMITED (\"Client\"/\"FKN\"/\"Company\") in Indirect tax\nservices (\"Services\") for the benefit of the Client and the subsidiaries and/or Affiliates of the Client as\nspecified in Annexure-2.\n\n(The identified subsidiaries and Affiliates in Annexure-2 together with the Client, are hereinafter collectively\nreferred to as \"Beneficiary/(ies)\"). The Services will be provided in accordance with and subject to the\nprovisions of this engagement letter (including any Work Orders/Statement of Work and Annexures 1, 2, 3,\n4, 5 and 6 hereto) (\"Engagement Letter\") and the Standard Tax Terms attached hereto (the Engagement\nLetter and Standard Tax Terms hereinafter are collectively referred to as collectively \"Contract\").\n\n1. BACKGROUND\n\n1.1 Flipkart Internet Private Limited is a company which owns the E-commerce portal \"Flipkart.com\".\nIt functions as a marketplace wherein various business entities can list their products in the website\nin return to a fee charged to use its portal.\n\n1.2 We further understand that the company receives revenue through payment gateway services,\nhosting services, advertisement services, etc and is also engaged in fulfilment services rendered to\nthe sellers listed on the website.\n\n1.3 We would be glad to provide assistance, more specifically described in below paragraph(s).\n\nMamatha J", "correct": true, "input_tokens": 1161, "output_tokens": 493, "elapsed_seconds": 6.344371584011242, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9782, "attempts": 1, "retries": 0, "total_seconds": 6.3783}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 17, "image": "93441566-50c0-4bfb-9a31-437a2bc5e4f2_png.rf.cd5bf1f53754c220ec912b1c44ade759.jpg", "expected": "2\n3000\nCOUNTER +2000\nActivate:Main Once Per Turn You may add 1 card from your Life area to your hand: This Character gains +2000 power during this turn. Then, give this Character up to 2 rested DON!! cards.\nCHARACTER\nSanji\nStraw Hat Crew\nOP01-013", "predicted": "2\n3000\n\u6253\nSTRIKE\n\nCOUNTER +2000\n\nActivate:Main Once Per Turn You may add 1 card from\nyour Life area to your hand: This Character gains +2000\npower during this turn. Then, give this Character up to 2\nrested DON!! cards.\n\nCHARACTER\nSanji\nStraw Hat Crew\n\nOP01-013 R 1\n\u00a9E.O./S \u00a9E.O./S., T.A. BANDAI MADE IN JAPAN", "correct": false, "input_tokens": 1178, "output_tokens": 117, "elapsed_seconds": 3.3997372910380363, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.7915, "attempts": 1, "retries": 0, "total_seconds": 3.4126}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 18, "image": "2e43ea51-fc34-4d42-8b0f-66b2172d81f7_png.rf.345ac976ac43b542da24279e8683876b.jpg", "expected": "Q.5\n\nLet $L_1$ be the line of intersection of the planes given by the equations\n\n$$2x + 3y + z = 4 \\quad \\text{and} \\quad x + 2y + z = 5.$$\n\nLet $L_2$ be the line passing through the point $P(2, -1, 3)$ and parallel to $L_1$. Let $M$ denote the plane given by the equation\n\n$$2x + y - 2z = 6.$$\n\nSuppose that the line $L_2$ meets the plane $M$ at the point $Q$. Let $R$ be the foot of the perpendicular drawn from $P$ to the plane $M$ .\n\nThen which of the following statements is (are) TRUE?\n\n| | |\n|---|---|\n| (A) | The length of the line segment $PQ$ is $9\\sqrt{3}$ |\n| (B) | The length of the line segment $QR$ is $15$ |\n| (C) | The area of $\\triangle PQR$ is $\\dfrac{3}{2}\\sqrt{234}$ |\n| (D) | The acute angle between the line segments $PQ$ and $PR$ is $\\cos^{-1}\\left(\\dfrac{1}{2\\sqrt{3}}\\right)$ |\n\nAnswer: A, C\n\n3/9", "predicted": "Q.5\n\nLet $L_1$ be the line of intersection of the planes given by the equations\n$$2x + 3y + z = 4 \\text{ and } x + 2y + z = 5 \\text{ .}$$\nLet $L_2$ be the line passing through the point $P(2, -1, 3)$ and parallel to $L_1$. Let $M$ denote the plane given by the equation\n$$2x + y - 2z = 6 \\text{ .}$$\nSuppose that the line $L_2$ meets the plane $M$ at the point $Q$. Let $R$ be the foot of the perpendicular drawn from $P$ to the plane $M$ .\n\nThen which of the following statements is (are) TRUE?\n\n| | |\n| :--- | :--- |\n| (A) | The length of the line segment $PQ$ is $9\\sqrt{3}$ |\n| (B) | The length of the line segment $QR$ is $15$ |\n| (C) | The area of $\\Delta PQR$ is $\\frac{3}{2}\\sqrt{234}$ |\n| (D) | The acute angle between the line segments $PQ$ and $PR$ is $\\cos^{-1}\\left(\\frac{1}{2\\sqrt{3}}\\right)$ |\n\n**Answer: A, C**\n\n---\n
3/9
", "correct": false, "input_tokens": 1184, "output_tokens": 324, "elapsed_seconds": 4.876175542012788, "metadata": {"question": "Transcribe every piece of text in this image exactly as written, in reading order, preserving question and option numbering, and omit nothing. Write mathematical expressions in LaTeX and format the result as Markdown that mirrors the layout.", "match_method": "similarity", "score": 0.9023, "attempts": 1, "retries": 0, "total_seconds": 4.8902}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 19, "image": "8b690a3e-b9cd-48e1-a323-981e43142145_png.rf.84216f941b59ba17963217ea5bea26e9.jpg", "expected": "Question 37:\nConsider a system with six I/O-bound processes and one CPU-bound process. Each I/O-bound process executes for 1 ms before blocking for a 12 ms I/O operation. The context-switch overhead is 0.1 ms.\nUsing Round-Robin scheduling:\na. Time quantum = 1 ms\nb. Time quantum = 6 ms\nFor each case:\n\u2022 Draw the execution timeline.\n\u2022 Determine the average waiting time of the CPU-bound process.\n\u2022 Explain how the choice of quantum affects waiting time.\n\nQuestion 38:\nConsider a system with twelve I/O-bound tasks and one CPU-bound task. Each I/O-bound task runs for 1 ms before performing an 8 ms I/O operation.\nUsing Round-Robin scheduling:\na. Time quantum = 1 ms\nb. Time quantum = 4 ms\nFor each case:\n\u2022 Show the sequence of process execution.\n\u2022 Determine the average number of processes in the ready queue.\n\u2022 Explain how the quantum affects queue length.\n\nQuestion 39:\nConsider a system with eight I/O-bound tasks and two CPU-bound tasks. Each I/O-bound task requests an I/O operation after every 2 ms of CPU execution. Each I/O operation requires 12 ms. Using Round-Robin scheduling:\na. Time quantum = 2 ms\nb. Time quantum = 8 ms\nDetermine:\n\u2022 CPU utilization.\n\u2022 I/O device utilization.\n\u2022 Periods when the I/O device is idle.", "predicted": "Question 37:\nConsider a system with six I/O-bound processes and one CPU-bound process. Each I/O-bound\nprocess executes for 1 ms before blocking for a 12 ms I/O operation. The context-switch\noverhead is 0.1 ms.\nUsing Round-Robin scheduling:\n a. Time quantum = 1 ms\n b. Time quantum = 6 ms\nFor each case:\n \u2022 Draw the execution timeline.\n \u2022 Determine the average waiting time of the CPU-bound process.\n \u2022 Explain how the choice of quantum affects waiting time.\n\nQuestion 38:\nConsider a system with twelve I/O-bound tasks and one CPU-bound task. Each I/O-bound task\nruns for 1 ms before performing an 8 ms I/O operation.\nUsing Round-Robin scheduling:\n a. Time quantum = 1 ms\n b. Time quantum = 4 ms\nFor each case:\n \u2022 Show the sequence of process execution.\n \u2022 Determine the average number of processes in the ready queue.\n \u2022 Explain how the quantum affects queue length.\n\nQuestion 39:\nConsider a system with eight I/O-bound tasks and two CPU-bound tasks. Each I/O-bound task\nrequests an I/O operation after every 2 ms of CPU execution. Each I/O operation requires 12\nms. Using Round-Robin scheduling:\n a. Time quantum = 2 ms\n b. Time quantum = 8 ms\nDetermine:\n \u2022 CPU utilization.\n \u2022 I/O device utilization.\n \u2022 Periods when the I/O device is idle.", "correct": true, "input_tokens": 1162, "output_tokens": 377, "elapsed_seconds": 5.923938499996439, "metadata": {"question": "Transcribe every piece of text in this image exactly as written, in reading order, preserving question and option numbering, and omit nothing. Output as plain text but preserve the visual structure. Do not add any extra markdown styling.", "match_method": "similarity", "score": 0.9539, "attempts": 1, "retries": 0, "total_seconds": 5.9385}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 20, "image": "056e17c9-9b46-496a-9cf8-c1b54bd73216_png.rf.ad6da03e5299b085ff446174b8c6cc4b.jpg", "expected": "```python\nclass Snapshot(BaseModel):\n pageIndex: int = 1\n stateId: str # computed by extension\n interactive: List[InteractiveElement] = Field(default_factory=list)\n extracted: Optional[ExtractedCard] = None\n ts_ms: int\n```", "predicted": "```python\nclass Snapshot(BaseModel):\n pageIndex: int = 1\n stateId: str # computed by extension\n interactive: List[InteractiveElement] = Field(default_factory=list)\n extracted: Optional[ExtractedCard] = None\n ts_ms: int\n```", "correct": true, "input_tokens": 1200, "output_tokens": 71, "elapsed_seconds": 4.059932666015811, "metadata": {"question": "Transcribe every piece of text in this screenshot exactly as written, in reading order, and omit nothing. Put source code inside fenced code blocks, preserving indentation, quotes, and casing exactly, and transcribe surrounding interface text as Markdown. Transcribe only the complete definition of the `Snapshot` class exactly as it appears in the code editor, including the class line and all its fields, and ignore all other code, editor chrome, file tabs, sidebars, and the terminal.", "match_method": "similarity", "score": 1.0, "attempts": 1, "retries": 0, "total_seconds": 4.1007}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 21, "image": "0f7a1b1b-b0f9-4dba-9659-0455701b7a3f_png.rf.a006d974af16d067a2ee124fe9e15f3f.jpg", "expected": "Department of Computer Science and Engineering\nFaculty of Technology & Engineering\nThe M. S. University of Baroda, Vadodara\nS.S BE IV CSE (______)\n\nINDUSTRY PROJECT EVALUATION FORM\n\nName of the Student : Raval Sumit Bharatbhai\nName of Project Guide : Sukhvala Prit Hasmukhbhai\nTitle / Designation : Jr. Salesforce Developer\nEmail of Project Guide : sukhvalaps@gmail.com\nAddress of the Organization : Dev Arcade, U3, Eru Char Rasta, Vejalpore, Jalalpore, Eroo, Navsari, Gujarat-396450\nContact No. : 98751 62607\n\n(Indicate your choice by tick a (\u2713) mark):\n\nHighest-----------------------------------------------------------------Lowest\n\n
Attributes of ObservancePO54321
1Punctuality/ RegularityPO8\u2713
2Sincerity in LearningPO12\u2713
3Enthusiasm to use new technological toolsPO5\u2713
4Team Spirit: Relationship with Team MembersPO9\u2713
5Technical/Programming SkillsPO1\u2713
6Societal Impact of ProjectPO7\u2713
7InnovationPO1,PO5\u2713
8Knowledge of Algorithm OptimizationPO1,PO4\u2713
9Problem Solving AbilityPO2\u2713
10Project Management/Leadership Skills: Taking responsibilitiesPO11\u2713
11Communication SkillsPO10\u2713
12Implementing InstructionsPO3\u2713
13Achievement of DeadlinesPO11\u2713
14Follows Sustainable Development practices in day to day work and project workPO6\u2713
15Overall Performance, Behavior and AttitudePO8\u2713
\n\nPage 1 of 2", "predicted": "Department of Computer Science and Engineering\nFaculty of Technology & Engineering\nThe M. S. University of Baroda, Vadodara\nS.S BE IV CSE (   )\n\n**INDUSTRY PROJECT EVALUATION FORM**\n\n**Name of the Student** : Raval Sumit Bharatbhai\n**Name of Project Guide** : Sakhvala Prit Hasmukhbhai\n**Title / Designation** : Jr. Salesforce Developer\n**Email of Project Guide** : sakhvalaps@gmail.com\n**Address of the Organization** : Dev Arcade, U3, Eru Char Rasta,\nVejalpore, Jalapore, Eroo , Navsari.\n**Contact No.** : 98751 62607   Gujarat-396450\n\n**(Indicate your choice by tick a ($\\sqrt{}$) mark):**\n\n**Highest---------------------------------------------------Lowest**\n\n
Attributes of ObservancePO54321
1Punctuality/ RegularityPO8\u2713
2Sincerity in LearningPO12\u2713
3Enthusiasm to use new technological toolsPO5\u2713
4Team Spirit: Relationship with Team MembersPO9\u2713
5Technical/Programming SkillsPO1\u2713
6Societal Impact of ProjectPO7\u2713
7InnovationPO1,PO5\u2713
8Knowledge of Algorithm OptimizationPO1,PO4\u2713
9Problem Solving AbilityPO2\u2713
10Project Management/Leadership Skills: Taking responsibilitiesPO11\u2713
11Communication SkillsPO10\u2713
12Implementing InstructionsPO3\u2713
13Achievement of DeadlinesPO11\u2713
14Follows Sustainable Development practices in day to day work and project workPO6\u2713
15Overall Performance, Behavior and AttitudePO8\u2713
\n\nPage **1** of **2**", "correct": false, "input_tokens": 1166, "output_tokens": 681, "elapsed_seconds": 7.304855375085026, "metadata": {"question": "Transcribe all text in this document exactly and completely, in reading order, preserving casing, punctuation, currency symbols, and codes. Use an HTML table only for genuinely tabular content, mirroring its rows, columns, and merged cells; write the HTML on single lines with no indentation or blank lines between tags, and collapse horizontal alignment to a single space.", "match_method": "similarity", "score": 0.9357, "attempts": 1, "retries": 0, "total_seconds": 7.3187}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 22, "image": "4f216ea0-af67-40e1-a226-2884e051db56_png.rf.b2fadeee17b3985c08325bec449bfd27.jpg", "expected": "NANAVATI\nMAX Super Speciality Hospital\n\n28/11/25\n\nTo\n\nWHOM SO EVER IT MAY CONCERNS\n\nMrs. Tanvi Mehta, 33/F, K/c/o CKD Stage 5 is planned for Live related kidney transplant on 2/12/2025. Post op patient is given immunosuppressants so require Isolation / Single room for infection prevention.\n\nSo kindly consider the same.\n\nFor Dr. Jalin Kotuan.\n\nDr. Balabhai Nanavati Hospital (Charitable) \nS.V. Road, Vile Parle (W), Mumbai - 400 056 \nTel.: +91-22-6134 7500 \nManaged by Max Hospitals and Allied services Limited\n\nwww.nanavatimaxhospital.org", "predicted": "NANAVATI\nMAX Super Speciality\nHospital 28/11/25\nTo\nWHOM SO EVER IT MAY CONCERNS\nMrs.Tanvi Mehta, 33/F, K/c/o CKD stage 5\nis planned for Live related kidney transplant\non 2/12/2025. Post op patient is given\nimmunosuppressants so require Isolation/\nSingle room for infection prevention.\nSo kindly consider the same.\nDR. BALABHAI NANAVATI HOSPITAL\nMUMBAI-56\nFor Dr. Jatin Kothari\nDr. Balabhai Nanavati Hospital (Charitable)\nS.V. Road, Vile Parle (W), Mumbai - 400 056\nTel.: +91-22-6134 7500\nManaged by Max Hospitals and Allied services Limited\nwww.nanavatimaxhospital.org\nNABH\nH-2015-0289\nDec 02, 18 - Dec 01, 21\nSince Dec 02, 2015", "correct": false, "input_tokens": 1140, "output_tokens": 251, "elapsed_seconds": 4.437581917038187, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.8089, "attempts": 1, "retries": 0, "total_seconds": 4.4927}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 23, "image": "058e2b7c-372e-4d28-8921-9686341124d1_png.rf.17dd3d796974c2aef56049a1e6edcee8.jpg", "expected": "Sir Ganga Ram Hospital\nSir Ganga Ram Hospital Marg, Rajinder Nagar,\nNew Delhi-110060, INDIA Tel : +91-11-4225 4000\n\nMedical Superintendent (Offg.)\nSir Ganga Ram Kolmet Hospital, 7-B, Pusa Road,\nNew Delhi-110005. Tel : +91-11-45099999, (D) 45099980\n\nDr. Raj Kamal Agarwal\nSr. Consultant\nDeptt. of Anaesthesiology\nPain & Peri Operative Medicine\nMobile : +91 98101 52201\nE-mail : kamalagarwal300@gmail.com\n\nTO WHOM IT MAY CONCERN\n\nAs per ICMR guideline, the contacts of COVID +ve cases should be put on HOME ISOLATION even with Mild Symptoms\n\nIt is advised that everybody takes these preventive medication apart from following SOCIAL DISTANCING, HAND HYGIENE & WEARING MASK\n\nRx\n\u2022 TAB HYDROXY CHLOROQUINE 400mg once a week\n\u2022 TAB VITAMIN C one gram once a day\n\u2022 TAB ZINC 50 mg once a day\n\nIn case of fever\n\n* \u2022 TAB CROCIN/CALPOL 650 mg SOS\n\nIn case of throat pain & cough\n\n* \u2022 TAB CETRIZINE 10mg once a day.\n\u2022 SYRUP ALEX 2/3 Tea spoon 3 times a day.\n\nDr. RAJ KAMAL AGARWAL\nMBBS, DA\nDMC No. 14517\nSENIOR CONSULTANT\nDEPTT. OF ANAESTHSIOLOGY\nPERIOPERATIVE MEDICINE & PAIN\nSIR GANGARAM HOSPITAL\nRAJINDER NAGAR, NEW DELHI-110060\nPh.9810152201\n\nResidence :\n181, Royalton Tower, Princeton Estate, DLF Phase-V, Gurugram, Haryana", "predicted": "Sir Ganga Ram Hospital\nSir Ganga Ram Hospital Marg, Rajinder Nagar,\nNew Delhi-110060, INDIA Tel : +91-11-4225 4000\nMedical Superintendent (Offg.)\nSir Ganga Ram Kolmet Hospital, 7-B, Pusa Road,\nNew Delhi-110005. Tel : +91-11-45099999, (D) 45099980\nDr. Raj Kamal Agarwal\nSr. Consultant\nDeptt. of Anaesthesiology\nPain & Peri Operative Medicine\nMobile : +91 98101 52201\nE-mail : kamalagarwal300@gmail.com\n\nTO WHOM IT MAY CONCERN\nAs per ICMR guideline, the contacts of\nCOVID +ve cases should be put on HOME\nISOLATION even with Mild Symptoms\nIt is advised that everybody takes these\npreventive medication apart from following\nSOCIAL DISTANCING, HAND HYGIENE & WEARING\nMASK\n\nRx\n\u2022 TAB HYDROXYCHLOROQUINE 400mg once a week\n\u2022 TAB VITAMIN C one gram once a day\n\u2022 TAB ZINC 50mg once a day\nIn case of fever\n* \u2022 TAB CROCIN / CALPOL 650mg SOS\nIn case of throat pain & cough\n* \u2022 TAB CETRIZINE 10mg once a day.\n\u2022 SYRUP ALEX 2/3 tea spoon 3 times a day.\n\n[illegible]\n10 - 3 - 2020\nDR. RAJ KAMAL AGARWAL\nMBBS, DA\nDMC No 4537\nSENIOR CONSULTANT\nDEPTT. OF ANAESTHSIOLOGY\nPERIOPERATIVE MEDICINE & PAIN\nSIR GANGARAM HOSPITAL\nRAJINDER NAGAR, NEW DELHI-110060\nPH 9810152201\n\nResidence :\n181, Royalton Tower, Princeton Estate, DLF Phase-V, Gurugram, Haryana-122011", "correct": true, "input_tokens": 1152, "output_tokens": 464, "elapsed_seconds": 7.192864375072531, "metadata": {"question": "Transcribe all handwritten and printed text exactly as written, reading top to bottom and left to right, and omit nothing; mark only genuinely unreadable words as [illegible]. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9531, "attempts": 1, "retries": 0, "total_seconds": 7.273}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 24, "image": "1b4e5426-d109-4398-8e45-ab1dc497980f_png.rf.bded2a0f08d8a00ca919034e8f04cf48.jpg", "expected": "Lesson \n1.1\n\nReading (Recognizing Uppercase and Lowercase Letters)\n\nActivity\n\nCircle the matching lowercase letter in each row. The first one has been completed.\n\n| | | | | |\n|---|---|---|---|---|\n| A | c | (a) | e | h |\n| B | v | n | (b) | l |\n| C | a | w | e | (c) |\n| D | (d) | l | t | i |\n| E | b | m | x | (e) |\n| F | e | o | (f) | p |\n| G | h | (g) | r | s |\n| H | v | a | (h) | r |\n| I | c | a | (i) | p |\n| J | t | y | o | (j) |\n| K | (k) | x | d | u |\n| L | o | (l) | a | t |\n| M | b | (m) | n | w |", "predicted": "Lesson\n1.1\n\n# Reading (Recognizing Uppercase and Lowercase Letters)\n\n## Activity\n\n**Circle the matching lowercase letter in each row. The first one has been completed.**\n\n| | | | | |\n| :--- | :---: | :---: | :---: | :---: |\n| A | c | $\\textcircled{\\text{a}}$ | e | h |\n| B | v | n | $\\textcircled{\\text{b}}$ | l |\n| C | a | w | $\\textcircled{\\text{e}}$ | c |\n| D | $\\textcircled{\\text{d}}$ | l | t | i |\n| E | b | m | x | $\\textcircled{\\text{e}}$ |\n| F | e | o | $\\textcircled{\\text{f}}$ | p |\n| G | h | $\\textcircled{\\text{g}}$ | r | s |\n| H | v | a | $\\textcircled{\\text{h}}$ | r |\n| I | c | a | $\\textcircled{\\text{i}}$ | p |\n| J | t | y | o | $\\textcircled{\\text{j}}$ |\n| K | $\\textcircled{\\text{k}}$ | x | d | u |\n| L | o | $\\textcircled{\\text{l}}$ | a | t |\n| M | b | $\\textcircled{\\text{m}}$ | n | w |\n\nCabsera", "correct": false, "input_tokens": 1190, "output_tokens": 311, "elapsed_seconds": 5.818099832977168, "metadata": {"question": "Transcribe every piece of text in this image exactly as written, in reading order, preserving question and option numbering, and omit nothing. Write mathematical expressions in LaTeX and format the result as Markdown that mirrors the layout. Ignore the vertical text printed sideways along the page margin.", "match_method": "similarity", "score": 0.5777, "attempts": 1, "retries": 0, "total_seconds": 5.8565}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 25, "image": "9e81338a-33bb-479d-939a-0df376f0a972_png.rf.917d36705351e18951147dc224677339.jpg", "expected": "yes exactly! a bit like i'm being manipulated in some creepy way. \"please like me, look how much i know about you, we are good friends\".", "predicted": "Andrej Karpathy @karpathy \u00b7 1\u5c0f\u65f6\nyes exactly! a bit like i'm being manipulated in some creepy way. \"please like me, look how much i know about you, we are good friends\".\n4 2 105 4,300", "correct": false, "input_tokens": 1184, "output_tokens": 64, "elapsed_seconds": 3.0822614580392838, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom, keeping each author's handle with their message, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the last (bottom-most) tweet authored by Andrej Karpathy (@karpathy).", "match_method": "similarity", "score": 0.7473, "attempts": 1, "retries": 0, "total_seconds": 3.1145}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 26, "image": "e6e06b1b-da53-41ac-bfdf-9316443ff037_png.rf.39688157a0a030c060170f7400170d30.jpg", "expected": "31/3/24 AI OCR Tools\n\nQuite unusually for me, this essay started its life as a scribble in a notebook rather than something I typed into a markdown editor. A few weeks ago Tiago Forte made a short video suggesting that people can use GPT4-V to capture their hand-written notes digitally. I've been looking for a \"smart\" OCR tool that can process my terribly scratchy, spidery hand writing for many years and none have quite cut the mustard. But, I thought, why not give it a go. To my absolute surprise, GPT did a phenomenal job of parsing my scrawlings and spitting out text. I was seriously impressed. Handwriting OCR has now gone from a fun toy and conversation piece to something I can actually, seriously use in my workflow. So then, is GPT via ChatGPT the best option I've got for this task or are there any FOSS tools and models that I could use instead?\n\nThe Closest option: CRAFT-TROCR\n\nI played with this a couple of years ago and it was reasonably good at certain content but only if I write in my very best hand writing all the time. And I don't do that because when I am taking notes in a meeting or something, I am thinking about the meeting, not my hand writing.\n\nHow does CRAFT-TROCR work? Are there any major differences? I'm guessing a big transformer model is able to maximise probability globally across the image + the generated text.\n\n68", "predicted": "31/3/24 AI OCR Tools\n\nQuite unusually for me, this essay started its life\nas a scribble in a notebook rather than something\nI typed into a markdown editor. A few weeks ago\nTiago Forte made a short video suggesting that\npeople can use GPT4-V to capture their hand-written\nnotes digitally. I've been looking for a \"smart\"\nOCR tool that can process my terribly scratchy,\nspidery hand writing for many years and none have\nquite cut the mustard. But, I thought, why not\ngive it a go. To my absolute surprise, GPT did\na phenomenal job of parsing my scrawlings and\nspitting out text. I was seriously impressed.\nHandwriting OCR has now gone from a fun toy\nand conversation piece to something I can actually, seriously\nuse in my workflow. So then, is GPT via ChatGPT\nthe best option I've got for this task or are\nthere any FOSS tools and models that I could\nuse instead?\n\nThe Classic option: CRAFT-TROCR\n\nI played with this a couple of years ago and\nit was reasonably good at certain content but only\nif I write in my very best hand writing all the time.\nAnd I don't do that because when I am taking\nnotes in a meeting or something, I am thinking about\nthe meeting, not my hand writing.\n\nHow does CRAFT-TROCR work? Are there any major\ndifferences? I'm guessing a big transformer model\nis able to maximise probability globally across the\nimage + the generated text.\n\n68", "correct": true, "input_tokens": 1210, "output_tokens": 341, "elapsed_seconds": 5.827392957988195, "metadata": {"question": "Transcribe all handwritten and printed text exactly as written, reading top to bottom and left to right, and omit nothing; mark only genuinely unreadable words as [illegible]. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the text on the left page of the notebook, ignoring the partially visible right page.", "match_method": "similarity", "score": 0.9787, "attempts": 1, "retries": 0, "total_seconds": 5.8783}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 27, "image": "d1d7aaf7-169c-4847-866d-61bc0a6784b4_png.rf.47c7117d83bf6448f821dbc28e0e6255.jpg", "expected": "R\u00c9PUBLIQUE FRAN\u00c7AISE\nCARTE NATIONALE D'IDENTIT\u00c9 / IDENTITY CARD\n\nNOM / Surname \nMARTIN\n\nPr\u00e9noms / Given names \nMa\u00eblys Ga\u00eblle, Marie\n\nSEXE / Sex\nF\n\nNATIONALIT\u00c9 / Nationality\nFRA\n\nDATE DE NAISS. / Date of birth \n13 07 1990\n\nLIEU DE NAISSANCE / Place of birth \nPARIS\n\nNOM D'USAGE / Alternate name \nNOM D'USAGE\n\nN\u00b0 DU DOCUMENT / Document No. \nX4RTBPFW4\n\nDATE D'EXPIR. / Expiry date \n11 02 2030\n\nSignature\n\n384213", "predicted": "R\u00c9PUBLIQUE FRAN\u00c7AISE FR\nCARTE NATIONALE D'IDENTIT\u00c9 / IDENTITY CARD\nNOM / Surname\nMARTIN\nPr\u00e9noms / Given names\nMa\u00eblys-Ga\u00eblle, Marie\nSEXE / Sex NATIONALIT\u00c9 / Nationality DATE DE NAISS. / Date of birth\nF FRA 13 07 1990\nLIEU DE NAISSANCE / Place of birth\nPARIS\nNOM D'USAGE / Alternate name\nNOM D'USAGE\nN\u00b0 DU DOCUMENT / Document No. DATE D'EXPIR. / Expiry date\nX4RTBPFW4 11 02 2030\n384213", "correct": false, "input_tokens": 1179, "output_tokens": 149, "elapsed_seconds": 4.465634541003965, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the main identity document, reading top to bottom and left to right, and ignore the vertical text along the left edge, the signature graphic, and the faint background watermark.", "match_method": "similarity", "score": 0.8504, "attempts": 1, "retries": 0, "total_seconds": 4.5267}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 28, "image": "bcd74d99-f2d8-4005-aa54-2cc083e5a293_png.rf.1d000af6e7da39b4a95398db67f4bcbb.jpg", "expected": "4/16/26, 3:09 PM\n\nDocs\n\nGetting Started with Docker setup\n\nTo begin developing and deploying applications within this environment, you must have Docker Engine and the Docker Compose plugin installed. Follow the steps below to set up the environment on a Debian/Ubuntu-based system.\n\n1. Update the Package Index\n\nsudo apt update\n\nsudo apt install -y ca-certificates curl gnupg lsb-release\n\ncurl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --dearmor -o /etc/apt/keyrings/docker.gpg\n\nsudo chmod a+r /etc/apt/keyrings/docker.gpg\n\necho \\\n \"deb [arch=$(dpkg --print-architecture) signed-by=/etc/apt/keyrings/docker.gpg] https://download.docker.com/linux/ubuntu \\\n $(. /etc/os-release && echo \"$VERSION_CODENAME\") stable\" | \\\n sudo tee /etc/apt/sources.list.d/docker.list > /dev/null\n\nsudo apt update\n\nsudo apt install -y docker-ce docker-ce-cli containerd.io docker-buildx-plugin docker-compose-plugin", "predicted": "4/16/26, 3:09 PM Docs\n\nGetting Started with Docker setup\n\nTo begin developing and deploying applications within this environment, you must\nhave Docker Engine and the Docker Compose plugin installed. Follow the steps\nbelow to set up the environment on a Debian/Ubuntu-based system.\n\n1. Update the Package Index\n\nsudo apt update\n\nsudo apt install -y ca-certificates curl gnupg lsb-release\n\ncurl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --\ndearmor -o /etc/apt/keyrings/docker.gpg\n\nsudo chmod a+r /etc/apt/keyrings/docker.gpg\n\necho \\\n \"deb [arch=$(dpkg --print-architecture) signed-\nby=/etc/apt/keyrings/docker.gpg]\nhttps://download.docker.com/linux/ubuntu \\\n $(. /etc/os-release && echo \"$VERSION_CODENAME\") stable\" | \\\n sudo tee /etc/apt/sources.list.d/docker.list > /dev/null\n\nsudo apt update\n\nsudo apt install -y docker-ce docker-ce-cli containerd.io docker-\nbuildx-plugin docker-compose-plugin", "correct": true, "input_tokens": 1161, "output_tokens": 268, "elapsed_seconds": 5.429954083985649, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9913, "attempts": 1, "retries": 0, "total_seconds": 5.4392}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 29, "image": "8aa12106-fbe5-4983-96bf-a1243a7c4020_png.rf.83832cdeaaf470d6954bbada16920ccd.jpg", "expected": "\"Jade City\"\nBaan 16 - 8256 AX\nBiddinghuizen\n\nT.Nr: L7\n\n
1 Gebraden magere spek met pikante saus a 19.50 (1 Nasi a EUR 1.00)EUR20.50
1 Chinese bami a la \"Jade City\" a 19.00EUR19.00
1 Babi pangang met pikante saus a 19.00 (1 Nasi a EUR 1.00)EUR20.00
1 Koe Loe Kai a 18.00 (1 Nasi a EUR 1.00)EUR19.00
1 Ossenhaas met oestersaus a 21.00EUR21.00
2 Dame blanche(ijs.choc.slagroom)EUR9.00
1 Cola a 3.25EUR3.25
2 Cola-max a 3.25EUR6.50
1 Sinas a 3.25EUR3.25
1 Seven-up a 3.25EUR3.25
2 ice thee met prik a 3.75EUR7.50
3 ijs a 4.00EUR12.00
\n\n============ +\nTotaal: EUR 144.25\n============\n\nBTW 9.0% EUR 11.91\n\nBedankt voor Uw bezoek\nRabobank NL29 0348178123\nKvk 39037611", "predicted": "\"Jade City\"\nBaan 16 - 8256 AX\nBiddinghuizen\n\nT.Nr: L7\n\n
1Gebraden magere spek met pikante saus a 19.50 (1 Nasi a EUR 1.00)EUR20.50
1Chinese bami a la \"Jade City\" a 19.00EUR19.00
1Babi pangang met pikante saus a 19.00 (1 Nasi a EUR 1.00)EUR20.00
1Koe Loe Kai a 18.00 (1 Nasi a EUR 1.00)EUR19.00
1Ossenhaas met oestersaus a 21.00EUR21.00
2Dame blanche(ijs,choc,slagroom)EUR9.00
1Cola a 3.25EUR3.25
2Cola-max a 3.25EUR6.50
1Sinas a 3.25EUR3.25
1Seven-up a 3.25EUR3.25
2ice thee met prik a 3.75EUR7.50
3ijs a 4.00EUR12.00
========== +
Totaal: EUR144.25
==========
\n\nBTW 9.0% EUR 11.91\n\nBedankt voor Uw bezoek\nRabobank NL29 0348178123\nKvk 39037611", "correct": false, "input_tokens": 1204, "output_tokens": 513, "elapsed_seconds": 6.221044084057212, "metadata": {"question": "Transcribe all text in this document exactly and completely, in reading order, preserving casing, punctuation, currency symbols, and codes. Use an HTML table only for genuinely tabular content, mirroring its rows, columns, and merged cells; write the HTML on single lines with no indentation or blank lines between tags, and collapse horizontal alignment to a single space. Transcribe only the main receipt in the foreground, and ignore the upside-down, semi-transparent receipt behind it.", "match_method": "similarity", "score": 0.8028, "attempts": 1, "retries": 0, "total_seconds": 6.2882}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 30, "image": "11b83a24-c9b8-4d9a-b4db-b73d396719cd_png.rf.358e9a65b048e920c8eacbd7b7fb1df6.jpg", "expected": "Something tells me that if they released their chat/tool/hyper-param templates which they use on their cloud service, there'd be a lot more love and acceptance. Why anyone is still using a llama.cpp wrapper anymore is the better question and beyond me.", "predicted": "Eric @Ex0byt \u00b7 1\u5c0f\u65f6\nSomething tells me that if they released their chat/tool/hyper-param templates which they use on their cloud service, there\u2019d be a lot more love and acceptance. Why anyone is still using a llama.cpp wrapper anymore is the better question and beyond me.\n 40", "correct": false, "input_tokens": 1199, "output_tokens": 72, "elapsed_seconds": 4.048482500016689, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom, keeping each author's handle with their message, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the reply authored by Eric (@Ex0byt).", "match_method": "similarity", "score": 0.9127, "attempts": 1, "retries": 0, "total_seconds": 4.078}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 31, "image": "fc6e5e8d-4b33-4a20-a63a-96c0205ae8f6_png.rf.6cdeb04c221a85b1895ded05acdbfa1b.jpg", "expected": "When recorded return to:\nSTRIBLING LAW FIRM PO\n101 E MCINTOSH ST\nMILLEDGEVILLE GA 3106\n\nDoc ID: 001029530008 Type: GLR\nRecorded: 10/21/2013 at 04:07:30 PM\nPage 1 of 8\nBaldwin, Ga. Clerk Superior Court\nRosemary Phillips Clerk of Courts\nBK 1150 PG 483-490\n\nFILED & RECORDED\nCLERK, SUPERIOR COURT\nBALDWIN COUNTY, GA\n2013 OCT 21 PM 4: 07\nBY\nROSEMARY PHILLIPS, CLERK\n\nDeed To Secure Debt\n(With Future Advance Clause)\n\n1. Date and Parties. The date of this Deed to Secure Debt (Security Instrument) is OCTOBER 21, 2013\n. The parties and their addresses are:\n\nGrantor: THE BRACK FAMILY LIMITED\nPARTNERSHIP\n891 S JEFFERSON STREET SE\nMILLEDGEVILLE GA 31061\n\n\u2610 If checked, refer to the attached Addendum incorporated herein, for additional Grantors, their signatures\nand acknowledgments.\n\nGrantee: CENTURY BANK AND TRUST\n(\"Lender\") 141 S WAYNE ST\nMILLEDGEVILLE, GA 31061-5708\n\n2. Conveyance. For good and valuable consideration, the receipt and sufficiency of which is acknowledged,\nand to secure the Secured Debt (defined below) and Grantor\u2019s performance under this Security Instrument,\nGrantor irrevocably grants, bargains, transfers, conveys and sells to Lender, with power of sale, the\nfollowing described property:\n*SEE EXHIBIT 'A' ATTACHED HERETO AND INCORPORATED HEREIN BY REFERENCE.\n\nThe property is located in BALDWIN at\n(County)\n101 KINGS RD , MILLEDGEVILLE , Georgia 31061-0000\n(Address) (City) (ZIP Code)\nTogether with all rights, easements, appurtenances, royalties, mineral rights, oil and gas rights, all water and\nriparian rights, ditches, and water stock and all existing and future improvements, structures, fixtures, and\nreplacements that may now, or at any time in the future, be part of the real estate described above (all\nreferred to as \"Property\").\n\n3. Maximum Obligation Limit. The total principal amount secured by this Security Instrument at any one time\nshall not exceed $ UNLIMITED . This limitation of amount does not include\ninterest and other fees and charges validly made pursuant to this Security Instrument. Also, this limitation\ndoes not apply to advances made under the terms of this Security Instrument to protect Lender\u2019s security and\nto perform any of the covenants contained in this Security Instrument.\n\nReal Estate Security Instrument-Consumer-GA\nVMP\u00ae Bankers Systems\u2122\nWolters Kluwer Financial Services \u00a9 1994, 2011\n\nRE-DSD-GA 1/24/2011\nVMPC231(GA) (1101).00\nPage 1 of 6\n\nBB R# 189300", "predicted": "When recorded return to:\nSTRIBLING LAW FIRM PC 2\n101 E MCINTOSH ST\nMILLEDGEVILLE GA 31061\n\nFILED & RECORDED\nCLERK, SUPERIOR COURT\nBALDWIN COUNTY, GA\n\nDoc ID: 001029530008 Type: GLR\nRecorded: 10/21/2013 at 04:07:30 PM 2013 OCT 21 PM 4: 07\nPage 1 of 8\nBaldwin, Ga. Clerk Superior Court\nRosemary Phillips Clerk of Courts BY Barbara Boyer\nBK 1150 PG 483-490 ROSEMARY PHILLIPS, CLERK\ndpty Clerk\n\nDeed To Secure Debt\n(With Future Advance Clause)\n\n1. Date and Parties. The date of this Deed to Secure Debt (Security Instrument) is OCTOBER 21, 2013\n. The parties and their addresses are:\n\nGrantor: THE BRACK FAMILY LIMITED\nPARTNERSHIP\n891 S JEFFERSON STREET SE\nMILLEDGEVILLE GA 31061\n\nIf checked, refer to the attached Addendum incorporated herein, for additional Grantors, their signatures\nand acknowledgments.\n\nGrantee: CENTURY BANK AND TRUST\n(\"Lender\") 141 S WAYNE ST\nMILLEDGEVILLE, GA 31061-5708\n\n2. Conveyance. For good and valuable consideration, the receipt and sufficiency of which is acknowledged,\nand to secure the Secured Debt (defined below) and Grantor's performance under this Security Instrument,\nGrantor irrevocably grants, bargains, transfers, conveys and sells to Lender, with power of sale, the\nfollowing described property:\n\n*SEE EXHIBIT 'A' ATTACHED HERETO AND INCORPORATED HEREIN BY REFERENCE.\n\nThe property is located in BALDWIN at\n(County)\n101 KINGS RD , MILLEDGEVILLE , Georgia 31061-0000\n(Address) (City) (ZIP Code)\nTogether with all rights, easements, appurtenances, royalties, mineral rights, oil and gas rights, all water and\nriparian rights, ditches, and water stock and all existing and future improvements, structures, fixtures, and\nreplacements that may now, or at any time in the future, be part of the real estate described above (all\nreferred to as \"Property\").\n\n3. Maximum Obligation Limit. The total principal amount secured by this Security Instrument at any one time\nshall not exceed $ UNLIMITED . This limitation of amount does not include\ninterest and other fees and charges validly made pursuant to this Security Instrument. Also, this limitation\ndoes not apply to advances made under the terms of this Security Instrument to protect Lender's security and\nto perform any of the covenants contained in this Security Instrument.\n\nReal Estate Security Instrument-Consumer-GA RE-DSD-GA 1/24/2011\nVMP\u00ae Bankers Systems\u2122 VMPC231(GA) (1101).00\nWolters Kluwer Financial Services \u00a9 1994, 2011 Page 1 of 6\n\nBB R# 189300", "correct": false, "input_tokens": 1168, "output_tokens": 702, "elapsed_seconds": 7.5291259590303525, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.8866, "attempts": 1, "retries": 0, "total_seconds": 7.5581}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 32, "image": "c05c3288-ac14-47d6-8756-9ad484ae9696_png.rf.0ff67a7a39c5d5c7c9739988d851c032.jpg", "expected": "COST OF LIVING\n\nThe following figures are a general guide to essential monthly expenses for an expatriate executive living in Azerbaijan.\n\nMarried\nSingle couple with\nperson two children\n(US$) (US$)\n\nRent 800 3,000\nFood 300 1,200\nTransport 150 300\nUtilities 100 150\nEducation n. a. 1,000\nMiscellaneous 500 1,000\n\nTotal 1,850 6,650", "predicted": "COST OF LIVING\n\nThe following figures are a general guide to\nessential monthly expenses for an expatriate\nexecutive living in Azerbaijan.\n\nMarried\nSingle couple with\nperson two children\n(US$) (US$)\nRent 800 3,000\nFood 300 1,200\nTransport 150 300\nUtilities 100 150\nEducation n. a. 1,000\nMiscellaneous 500 1,000\nTotal 1,850 6,650", "correct": true, "input_tokens": 1164, "output_tokens": 129, "elapsed_seconds": 3.611256916075945, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9878, "attempts": 1, "retries": 0, "total_seconds": 3.6526}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 33, "image": "5327a38f-11a2-45f2-9a38-e1375dfbeb43_png.rf.b6a2243d098302d780056ad980a16a9c.jpg", "expected": "Probabilistic two-stage detection\n\ncosts of the second stage. Our second stage makes full use of years of progress in two-stage detection (Cai & Vasconcelos, 2018; Chen et al., 2019a) and yields a significant increase in detection accuracy over one-stage baselines. It also easily scales to large-vocabulary detection.\n\nExperiments on COCO (Lin et al., 2014), LVIS (Gupta et al., 2019), and Objects365 (Shao et al., 2019) demonstrate that our probabilistic two-stage framework boosts the accuracy of a strong CascadeRCNN model by 1-3 mAP, while also improving its speed. Using a standard ResNeXt-101-DCN backbone with a CenterNet (Zhou et al., 2019a) first stage, our detector achieves 50.2 mAP on COCO test-dev. With a strong Res2Net-101-DCN-BiFPN (Gao et al., 2019a; Tan et al., 2020b) backbone and self-training (Zoph et al., 2020), it achieves 56.4 mAP with single-scale testing, outperforming all published results. Using a small DLA-BiFPN backbone and lower input resolution, we achieve 49.2 mAP on COCO at 33 fps on a Titan Xp, outperforming the popular YOLOv4 model (43.5 mAP at 33 fps) on the same hardware. Code and models are release at https://github.com/xingyizhou/CenterNet2.\n\n2. Related Work\n\nOne-stage detectors jointly predict an output class and location of objects densely throughout the image. RetinaNet (Lin et al., 2017b) classifies a set of predefined sliding anchor boxes and handles the foreground-background imbalance by reweighting losses for each output. FCOS (Tian et al., 2019) and CenterNet (Zhou et al., 2019a) eliminate the need of multiple anchors per pixel and classify foreground/background by location. ATSS (Zhang et al., 2020b) and PAA (Kim & Lee, 2020) further improve FCOS by changing the definition of foreground and background. GFL (Li et al., 2020b) and Autoassign (Zhu et al., 2020a) change the hard foreground-background assignment to a weighted soft assignment. AlignDet (Chen et al., 2019c) uses a deformable convolution layer before the output to gather richer features for classification and regression. RepPoint (Yang et al., 2019) and DenseRepPoint (Yang et al., 2020) encode bounding boxes as the outline of a set of points and use the features of the point set for classification. BorderDet (Qiu et al., 2020) pools features along the bounding box for better localization. Most one-stage detectors have a sound probabilistic interpretation.\n\nWhile one-stage detectors have achieved competitive performance (Zhang et al., 2020b; Kim & Lee, 2020; Zhang et al., 2019; Li et al., 2020b; Zhu et al., 2020a), they usually rely on heavier separate classification and regression branches than two-stage models. In fact, they are no longer faster than their two-stage counterparts if the vocabulary (i.e., the set of object classes) is large (as in the LVIS or Objects365 datasets). Also, one-stage detectors only use the local features of the positive cell for regression and classification, which is sometimes misaligned with the object (Chen et al., 2019c; Song et al., 2020).\n\nOur probabilistic two-stage framework retains the probabilistic interpretation of one-stage detectors, but factorizes the probability distribution over multiple stages, improving both accuracy and speed.\n\nTwo-stage detectors first use a region proposal network (RPN) to generate coarse object proposals, and then use a dedicated per-region head to classify and refine them. Faster-RCNN (Ren et al., 2015; He et al., 2017) uses two fully-connected layers as the RoI heads. CascadeRCNN (Cai & Vasconcelos, 2018) uses three cascaded stages of Faster-RCNN, each with a different positive threshold so that the later stages focus more on localization accuracy. HTC (Chen et al., 2019a) utilizes additional instance and semantic segmentation annotations to enhance the inter-stage feature flow of CascadeRCNN. TSD (Song et al., 2020) decouples the classification and localization branches for each RoI.\n\nTwo-stage detectors are still more accurate in many settings (Gupta et al., 2019; Sun et al., 2020; Kuznetsova et al., 2018). Currently, all two-stage detectors use a relatively weak RPN that maximizes the recall of the top 1K proposals, and does not utilize the proposal score at test time. The large number of proposals slows the system down, and the recall-based proposal network does not directly offer the same clear probabilistic interpretation as one-stage detectors. Our framework addresses this, and integrates a strong class-agnostic single-stage object detector with later classification stages. Our first stage uses fewer, but higher quality, regions, yielding both faster inference and higher accuracy.\n\nOther detectors. A family of object detectors identify objects via points in the image. CornerNet (Law & Deng, 2018) detects the top-left and bottom-right corners and groups them using an embedding feature. ExtremeNet (Zhou et al., 2019b) detects four extreme points and groups them using an additional center point. Duan et al. (2019) detect the center point and use it to improve corner grouping. Corner Proposal Net (Duan et al., 2020) uses pairwise corner groupings as region proposals. CenterNet (Zhou et al., 2019a) detects the center point and regresses the bounding box parameters from it.\n\nDETR (Carion et al., 2020) and Deformable DETR (Zhu et al., 2020c) remove the dense output in a detector, and instead use a Transformer (Vaswani et al., 2017) that directly predicts a set of bounding boxes.\n\nThe major difference between point-based detectors, DETR, and conventional detectors lies in the network architecture. Point-based detectors use a fully-convolutional network (Newell et al., 2016; Yu et al., 2018), usually with symmetric downsampling and upsampling layers, and pro-", "predicted": "Probabilistic two-stage detection\n\ncosts of the second stage. Our second stage makes full use\nof years of progress in two-stage detection (Cai & Vascon-\ncelos, 2018; Chen et al., 2019a) and yields a significant\nincrease in detection accuracy over one-stage baselines. It\nalso easily scales to large-vocabulary detection.\n Experiments on COCO (Lin et al., 2014), LVIS (Gupta\net al., 2019), and Objects365 (Shao et al., 2019) demon-\nstrate that our probabilistic two-stage framework boosts the\naccuracy of a strong CascadeRCNN model by 1-3 mAP,\nwhile also improving its speed. Using a standard ResNeXt-\n101-DCN backbone with a CenterNet (Zhou et al., 2019a)\nfirst stage, our detector achieves 50.2 mAP on COCO test-\ndev. With a strong Res2Net-101-DCN-BiFPN (Gao et al.,\n2019a; Tan et al., 2020b) backbone and self-training (Zoph\net al., 2020), it achieves 56.4 mAP with single-scale testing,\noutperforming all published results. Using a small DLA-\nBiFPN backbone and lower input resolution, we achieve\n49.2 mAP on COCO at 33 fps on a Titan Xp, outperforming\nthe popular YOLOv4 model (43.5 mAP at 33 fps) on the\nsame hardware. Code and models are release at https:\n//github.com/xingyizhou/CenterNet2.\n\n2. Related Work\n\nOne-stage detectors jointly predict an output class and\nlocation of objects densely throughout the image. Reti-\nnaNet (Lin et al., 2017b) classifies a set of predefined sliding\nanchor boxes and handles the foreground-background im-\nbalance by reweighting losses for each output. FCOS (Tian\net al., 2019) and CenterNet (Zhou et al., 2019a) elimi-\nnate the need of multiple anchors per pixel and classify\nforeground/background by location. ATSS (Zhang et al.,\n2020b) and PAA (Kim & Lee, 2020) further improve FCOS\nby changing the definition of foreground and background.\nGFL (Li et al., 2020b) and Autoassign (Zhu et al., 2020a)\nchange the hard foreground-background assignment to a\nweighted soft assignment. AlignDet (Chen et al., 2019c)\nuses a deformable convolution layer before the output to\ngather richer features for classification and regression. Rep-\nPoint (Yang et al., 2019) and DenseRepPoint (Yang et al.,\n2020) encode bounding boxes as the outline of a set of\npoints and use the features of the point set for classification.\nBorderDet (Qiu et al., 2020) pools features along the bound-\ning box for better localization. Most one-stage detectors\nhave a sound probabilistic interpretation.\n While one-stage detectors have achieved competitive perfor-\nmance (Zhang et al., 2020b; Kim & Lee, 2020; Zhang et al.,\n2019; Li et al., 2020b; Zhu et al., 2020a), they usually rely\non heavier separate classification and regression branches\nthan two-stage models. In fact, they are no longer faster\nthan their two-stage counterparts if the vocabulary (i.e., the\nset of object classes) is large (as in the LVIS or Objects365\ndatasets). Also, one-stage detectors only use the local fea-\nture of the positive cell for regression and classification,\nwhich is sometimes misaligned with the object (Chen et al.,\n2019c; Song et al., 2020).\n Our probabilistic two-stage framework retains the proba-\nbilistic interpretation of one-stage detectors, but factorizes\nthe probability distribution over multiple stages, improving\nboth accuracy and speed.\n Two-stage detectors first use a region proposal network\n(RPN) to generate coarse object proposals, and then use a\ndedicated per-region head to classify and refine them. Faster-\nRCNN (Ren et al., 2015; He et al., 2017) uses two fully-\nconnected layers as the RoI heads. CascadeRCNN (Cai &\nVasconcelos, 2018) uses three cascaded stages of Faster-\nRCNN, each with a different positive threshold so that the\nlater stages focus more on localization accuracy. HTC (Chen\net al., 2019a) utilizes additional instance and semantic seg-\nmentation annotations to enhance the inter-stage feature\nflow of CascadeRCNN. TSD (Song et al., 2020) decouples\nthe classification and localization branches for each RoI.\n Two-stage detectors are still more accurate in many set-\ntings (Gupta et al., 2019; Sun et al., 2020; Kuznetsova et al.,\n2018). Currently, all two-stage detectors use a relatively\nweak RPN that maximizes the recall of the top 1K propos-\nals, and does not utilize the proposal score at test time. The\nlarge number of proposals slows the system down, and the\nrecall-based proposal network does not directly offer the\nsame clear probabilistic interpretation as one-stage detec-\ntors. Our framework addresses this, and integrates a strong\nclass-agnostic single-stage object detector with later classi-\nfication stages. Our first stage uses fewer, but higher quality,\nregions, yielding both faster inference and higher accuracy.\n Other detectors. A family of object detectors iden-\ntify objects via points in the image. CornerNet (Law\n& Deng, 2018) detects the top-left and bottom-right cor-\nners and groups them using an embedding feature. Ex-\ntremeNet (Zhou et al., 2019b) detects four extreme points\nand groups them using an additional center point. Duan\net al. (2019) detect the center point and use it to improve\ncorner grouping. Corner Proposal Net (Duan et al., 2020)\nuses pairwise corner groupings as region proposals. Cen-\nterNet (Zhou et al., 2019a) detects the center point and\nregresses the bounding box parameters from it.\n DETR (Carion et al., 2020) and Deformable DETR (Zhu\net al., 2020c) remove the dense output in a detector, and\ninstead use a Transformer (Vaswani et al., 2017) that directly\npredicts a set of bounding boxes.\n The major difference between point-based detectors, DETR,\nand conventional detectors lies in the network architec-\nture. Point-based detectors use a fully-convolutional net-\nwork (Newell et al., 2016; Yu et al., 2018), usually with\nsymmetric downsampling and upsampling layers, and pro-", "correct": true, "input_tokens": 1156, "output_tokens": 1621, "elapsed_seconds": 16.4235725000035, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9791, "attempts": 1, "retries": 0, "total_seconds": 16.4625}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 34, "image": "f3701711-56c0-4e6d-94ad-edbe5931b13c_png.rf.0dfe995026d12d57bfa8621b501a51c9.jpg", "expected": "Table.10 Nutrient availability after harvesting of pigeon pea (pooled data of 3 years).\n\n
Tr.TreatmentsAvailable NAvailable PAvailable KDTPA-FeDTPA-ZnDTPA-CuDTPA-Mn
Kg ha-1mgkg-1
T1Absolute control (No Fertilizers)144.536.11535.003.350.411.114.60
T2RDF only (25:50:00 NPK/ha)147.517.21539.673.390.431.134.69
T3RDF+ 25 Kg K2O/ha148.427.57558.933.520.441.154.79
T4RDF+ 50 Kg K2O/ha154.517.71560.003.520.441.224.81
T5RDF+ 25 Kg K2O/ha+ Grade I micronutrient (soil application)154.697.59562.003.580.561.325.79
T6RDF+ 50Kg K2O/ha + Grade I micronutrient (soil application)157.918.16596.003.830.581.346.11
T7RDF+ 25 Kg K2O/ha + Grade II micronutrient (0.5 % foliar spray)155.407.90592.003.590.451.265.53
T8RDF+ 50 Kg K2O/ha + Grade II micronutrient (0.5 % foliar spray)157.058.12595.003.710.451.315.70
T9RDF+ 25 Kg K2O/ha + 2 % KNO3(foliar spray)148.677.60558.003.530.421.155.51
T10RDF+ 50 Kg K2O/ha + 2 % KNO3(foliar spray)152.517.77592.673.450.431.235.54
SEm (\u00b1)1.900.4111.300.020.020.010.32
CD at 5 %5.631.2733.540.060.030.97
Grand mean152.127.57568.933.540.081.225.31
\n\n13", "predicted": "Table.10 Nutrient availability after harvesting of pigeon pea (pooled data of 3 years).\n
Tr.TreatmentsAvailable
N		Available
P		Available
K		DTPA-
Fe		DTPA-
Zn		DTPA-
Cu		DTPA-
Mn
Kg ha-1mgkg-1
T1Absolute control (No Fertilizers)144.536.11535.003.350.411.114.60
T2RDF only (25:50:00 NPK/ha)147.517.21539.673.390.431.134.69
T3RDF+ 25 Kg K2O/ha148.427.57558.933.520.441.154.79
T4RDF+ 50 Kg K2O/ha154.517.71560.003.520.441.224.81
T5RDF+ 25 Kg K2O/ha+ Grade I micronutrient (soil
application)		154.697.59562.003.580.561.325.79
T6RDF+ 50Kg K2O/ha + Grade I micronutrient (soil
application)		157.918.16596.003.830.581.346.11
T7RDF+ 25 Kg K2O/ha + Grade II micronutrient (0.5 %
foliar spray)		155.407.90592.003.590.451.265.53
T8RDF+ 50 Kg K2O/ha + Grade II micronutrient (0.5 %
foliar spray)		157.058.12595.003.710.451.315.70
T9RDF+ 25 Kg K2O/ha + 2 % KNO3(foliar spray)148.677.60558.003.530.421.155.51
T10RDF+ 50 Kg K2O/ha + 2 % KNO3(foliar spray)152.517.77592.673.450.431.235.54
SEm (\u00b1)1.900.4111.300.020.020.010.32
CD at 5 %5.631.2733.540.060.030.97
Grand mean152.127.57568.933.540.081.225.31
\n13", "correct": true, "input_tokens": 1194, "output_tokens": 1064, "elapsed_seconds": 10.442616499960423, "metadata": {"question": "Transcribe all text in this document exactly and completely, in reading order, preserving casing, punctuation, currency symbols, and codes. Use an HTML table only for genuinely tabular content, mirroring its rows, columns, and merged cells; write the HTML on single lines with no indentation or blank lines between tags, and collapse horizontal alignment to a single space.", "match_method": "similarity", "score": 0.9506, "attempts": 1, "retries": 0, "total_seconds": 10.4766}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 35, "image": "c81c96a7-296d-4050-827a-f89309f7a523_png.rf.28cfadfc50dc15c7a43434f17af3489f.jpg", "expected": "will i am \nPlumbing & Heating\n\nBusiness Address \n24 Godwin House \nLondon, E2 8PH\n\n07851 499 470\n\n020 7 686 8226\n\ninfo@will-i-am-pnh.co.uk\n\nInvoice to: \nOrkun Acikgoz \nFlat 3 Pedlers Apartments, 1C Hewison \nStreet E3 2HZ\n\nInvoice No: 17065 \nDate: 12th May 2025\n\nRef: Flat 3 Pedlers Apartments, 1C Hewison \nStreet E3 2HZ\n\n
DESCRIPTIONQTYUNIT PRICETOTAL PRICE
Carried out an investigation, fault diagnosis and attempt to repair a leak going downstairs after the shower was used on 12/05/25 (2 hours on site - please refer to email for a report)2\u00a3100.00\u00a3200.00
Materials - x1 white silicone, x1 PTFE1\u00a310.78\u00a310.78
\n\n
SUBTOTAL:\u00a3210.78
20.0% S:\u00a342.16
TOTAL:\u00a3252.94
PAID:\u00a30.00
BALANCE DUE:\u00a3252.94
\n\nBank details as follows: \nBANK \u2013 HSBC \nwill i am Plumbing & Heating Limited \nSORT CODE \u2013 40-01-18 \nACCOUNT NO. - 41837478\n\n\u00a3252.94 due on 12th May 2025\n\nThank You", "predicted": "will i am\nPlumbing & Heating\n\nBusiness Address\n24 Godwin House\nLondon, E2 8PH\n07851 499 470\n020 7 686 8226\ninfo@will-i-am-pnh.co.uk\n\nInvoice to:\nOrkun Acikgoz\nFlat 3 Pedlers Apartments, 1C Hewison\nStreet E3 2HZ\n\nInvoice No: 17065\nDate: 12th May 2025\nRef: Flat 3 Pedlers Apartments, 1C Hewison\nStreet E3 2HZ\n\n
DESCRIPTIONQTYUNIT PRICETOTAL
PRICE
Carried out an investigation, fault diagnosis and attempt to repair a
leak going downstairs after the shower was used on 12/05/25 (2
hours on site - please refer to email for a report)		2\u00a3100.00\u00a3200.00
Materials - x1 white silicone, x1 PTFE1\u00a310.78\u00a310.78
\n\nSUBTOTAL: \u00a3210.78\n20.0% S: \u00a342.16\nTOTAL: \u00a3252.94\nPAID: \u00a30.00\nBALANCE DUE: \u00a3252.94\n\nBank details as follows:\nBANK \u2013 HSBC\nwill i am Plumbing & Heating Limited\nSORT CODE \u2013 40-01-18\nACCOUNT NO. - 41837478\n\n\u00a3252.94 due on 12th May 2025\n\nThank You", "correct": false, "input_tokens": 1194, "output_tokens": 404, "elapsed_seconds": 5.726608915952966, "metadata": {"question": "Transcribe all text in this document exactly and completely, in reading order, preserving casing, punctuation, currency symbols, and codes. Use an HTML table only for genuinely tabular content, mirroring its rows, columns, and merged cells; write the HTML on single lines with no indentation or blank lines between tags, and collapse horizontal alignment to a single space.", "match_method": "similarity", "score": 0.8338, "attempts": 1, "retries": 0, "total_seconds": 5.7524}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 36, "image": "b883e11d-433f-4c18-b0a5-11a0599a241b_png.rf.1efeebf4c96c16074b4f57edde37de47.jpg", "expected": "AUTORES\n\n01- ANA LUIZA BAPTISTA\n02- ANA MARA ALVES DE FREITAS\n03- AMANDA MACHADO AGUIAR\n04- ANDREA NICOLAU PASCHOAL\n05- CARLOS EDUARDO PEREIRA DE MELLO\n06- CRISTIANE HONDA\n07- DANIEL DELAZERI DE FARIA\n08- DIEGO VIEIRA DE SOUZA\n09- ILAN AKISABURO KIMURA\n10- MARIANA BOTELHO MENEGATTI\n11- MARINA PEINADO BERBERIAN\n12- MICHAEL MENDES\n13- RAFAEL DONIZETI SOUZA DE TOLEDO\n14- RAFAEL PADILLA\n15- RAFAEL SCHULIEN\n16- RENATA QUISSAK BARTELEGA PEIXOTO\n17- SILVIA RIBEIRO BROTTO\n18- THAIS NAGOSHI SUZUKI", "predicted": "AUTORES\n\n01- ANA LUIZA BAPTISTA\n02- ANA MARA ALVES DE FREITAS\n03- AMANDA MACHADO AGUIAR\n04- ANDREA NICOLAU PASCHOAL\n05- CARLOS EDUARDO PEREIRA DE MELLO\n06- CRISTIANE HONDA\n07- DANIEL DELAZERI DE FARIA\n08- DIEGO VIEIRA DE SOUZA\n09- ILAN AKISABURO KIMURA\n10- MARIANA BOTELHO MENEGATTI\n11- MARINA PEINADO BERBERIAN\n12- MICHAEL MENDES\n13- RAFAEL DONIZETI SOUZA DE TOLEDO\n14- RAFAEL PADILLA\n15- RAFAEL SCHULIEN\n16- RENATA QUISSAK BARTELEGA PEIXOTO\n17- SILVIA RIBEIRO BROTTO\n18- THAIS NAGOSHI SUZUKI", "correct": true, "input_tokens": 1176, "output_tokens": 214, "elapsed_seconds": 5.937370165949687, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 1.0, "attempts": 1, "retries": 0, "total_seconds": 6.0307}} diff --git a/results/ocr_gemini-4-argon-eap_low_20261012_223719.jsonl b/results/ocr_gemini-4-argon-eap_low_20261012_223719.jsonl deleted file mode 100644 index 8399a43..0000000 --- a/results/ocr_gemini-4-argon-eap_low_20261012_223719.jsonl +++ /dev/null @@ -1,37 +0,0 @@ -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 0, "image": "4f770728-7b1f-4bf3-b877-e3d33fcc135d_png.rf.dffcaaeb26fd7fe4fd14891cb00a0adf.jpg", "expected": "100 Good Cookies\n1 cup white sugar 1 teaspoon baking soda\n1 cup brown sugar 1 cup quick oatmeal\n1 cup margarine 1 cup coconut\n1 cup cooking oil 1 cup Rice Krispies\n1 egg 1 cup chopped walnuts\n1 teaspoon vanilla 3\u00bd cups flour\n1 teaspoon cream of tartar 1-12oz. package mini\nchocolate chips\nMix in order given. Drop by teaspoonful onto cookie sheet. Bake at 350\u00b0 for 8-10 minutes.\n(over)", "predicted": "100 Good Cookies\n1 cup white sugar 1 teaspoon baking soda\n1 cup brown sugar 1 cup quick oatmeal\n1 cup margarine 1 cup coconut\n1 cup cooking oil 1 cup Rice Krispies\n1 egg 1 cup chopped walnuts\n1 teaspoon vanilla 3 1/2 cups flour\n1 teaspoon cream of tartar 1-12oz. package mini\n chocolate chips\nMix in order given. Drop by teaspoonful onto\ncookie sheet. Bake at 350\u00b0 for 8-10 minutes.\n (over)", "correct": true, "input_tokens": 1163, "output_tokens": 120, "elapsed_seconds": 4.028325750026852, "metadata": {"question": "Transcribe all handwritten and printed text exactly as written, reading top to bottom and left to right, and omit nothing; mark only genuinely unreadable words as [illegible]. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9821, "attempts": 1, "retries": 0, "total_seconds": 4.0557}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 1, "image": "0de03edc-15c5-4782-a74b-7cedb1df477b_png.rf.357da74f0ffbbb05467a6069097f2740.jpg", "expected": "(1) 8 + 7 = 15 (9) 17 - 9 = 8\n(2) 15 - 6 = 9 (10) 7 + 9 = 16\n(3) 9 + 4 = 13 (11) 14 - 8 = 6\n(4) 13 - 5 = 8 (12) 5 + 6 = 11\n(5) 6 + 8 = 14 (13) 16 - 7 = 9\n(6) 5 + 9 = 14 (14) 3 + 7 = 10", "predicted": "(1) 8 + 7 = 15 (9) 17 - 9 = 8\n(2) 15 - 6 = 9 (10) 7 + 9 = 16\n(3) 9 + 4 = 13 (11) 14 - 8 = 6\n(4) 13 - 5 = 8 (12) 5 + 6 = 11\n(5) 6 + 8 = 14 (13) 16 - 7 = 9\n(6) 5 + 9 = 14 (14) 3 + 7 = 10", "correct": true, "input_tokens": 1178, "output_tokens": 158, "elapsed_seconds": 4.077229875023477, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 1.0, "attempts": 1, "retries": 0, "total_seconds": 4.0916}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 2, "image": "861cb64d-800a-4635-999c-739199f8b473_png.rf.2dfcae9315498e5af9851962b9b1b65d.jpg", "expected": "2516 Country Club Rd.\nWinston Salem NC 27104\nJuly 17, 1981\n\nDr T S Osdene\nDirector of Research and Scientific Affairs\nPHILIP MORRIS USA\nResearch Center\nP.O Box 26583\nRichmond VA 23261\n\nDear Tom \u2014\n\nRe MDA NO/NOx Field Kit\n\nMDA requires prepayment before shipment\nof materials to private individuals. Accordingly\nI mailed check for $2505.00 for Kit yesterday.\nCopies for verification are enclosed. I presume\nthis will suffice to reimburse me.\n\nAs soon as MDA receives check, presumably\nJuly 20, Kit will be shipped to me by UPS and\nI will immediately trans ship by UPS to\nyou.\n\nCongrats on the birth of your son. Best wishes\nto Mrs Osdene and you.\n\n\u03a6000018736\n\nSincerely\nMurray", "predicted": "2516 Country Club Rd.\nWinston Salem NC 27104\nJuly 17, 1981\n\nDr T S Osdene\nDirector of Research and Scientific Affairs\nPHILIP MORRIS USA\nResearch Center\nP.O Box 26583\nRichmond VA 23261\n\nDear Tom -\n\nRe MDA NO/NOx Field Kit\n\nMDA requires prepayment before shipment\nof materials to private individuals. Accordingly\nI mailed check for $2505 00 for kit yesterday.\nCopies for verification are enclosed. I presume\nthis will suffice to reimburse me.\nAs soon as MDA receives check, presumably\nJuly 20, kit will be shipped to me by UPS and\nI will immediately trans ship by UPS to\nyou.\nCongrats on the birth of your son. Best wishes\nto Mrs Osdene and you. 1000018736\n\nSincerely\nMurray", "correct": true, "input_tokens": 1161, "output_tokens": 207, "elapsed_seconds": 4.1980841249460354, "metadata": {"question": "Transcribe all handwritten and printed text exactly as written, reading top to bottom and left to right, and omit nothing; mark only genuinely unreadable words as [illegible]. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9867, "attempts": 1, "retries": 0, "total_seconds": 4.2153}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 3, "image": "bfe2208e-9dcb-4273-9781-be20d0ae766a_png.rf.2506b1cf22374cc1de2823bf766ef968.jpg", "expected": "Ent 103326 Bk 331 Pg 470\nDate: 20-JUN-2006 2:28PM\nORDINANCE NO. CO-06-5 Fee: None\nFiled By: AKT\nBRENDA NELSON, Recorder\nMORGAN COUNTY\nAN ORDINANCE ADOPTING THE STATE WILDLIFE RESOURCES CODE\nFOR MORGAN COUNTY.\n\nWHEREAS, the Morgan County Sheriff's Office is charged with the enforcement of\nregulations and laws relating to wildlife resources within Morgan County; and\n\nWHEREAS, in the course of the Sheriff's enforcement duties it is often necessary to cite\nindividuals for violations of the various state rules regulating wildlife resources; and\n\nWHEREAS, Morgan County would like to cite violators for county ordinance violations\nrather than state code violations since violators are processed by county enforcement officers,\nprosecuted in county courts by county prosecutors, and incarcerated, if necessary, in county jails;\n\nNOW THEREFOR, the County Council of Morgan County, State of Utah, hereby\nordains as follows:\n\nWILDLIFE RESOURCES ORDINANCE\n\nSection 1. Adoption of the Utah wildlife resources Code, Rules and Regulations\n\nThe Rules and Regulations contained in Utah Code Annotated Title 23, as amended, and the\nRules promulgated thereunder, are hereby adopted as the wildlife resources Code, Rules and\nRegulations of Morgan County. Any provisions of Title 23 providing a penalty greater than a\nClass B misdemeanor, or not relating to criminal or administrative sanctions, are not incorporated\nas part of this ordinance.\n\nSection 2. Amendments\n\nIn order to assure continuing uniformity between the Utah wildlife resources Rules and\nRegulations and the Morgan County wildlife resources Rules and Regulations, this Ordinance\nwill include any and all periodic amendments to the State Rules and Regulations, Title 23, after\nthe effective date of this title, made by the Utah State Legislature or by the Utah Department of\nNatural Resources.\n\nSection 3. Effective Date\n\nThis ordinance shall take effect 15 days after passage, after required publication and after a copy\nof the ordinance is deposited with the Morgan County Clerk's Office.\n\nAPPROVED, ADOPTED, AND PASSED and ordered published by the Morgan County\nCouncil, this 6th day of June, 2006.", "predicted": "Ent 103326 Bk 231 Pg 470\nDate: 20-JUN-2006 2:28PM\nORDINANCE NO. CO-06-11 Fee: None\nFiled By: AKT\nBRENDA NELSON, Recorder\nAN ORDINANCE ADOPTING THE STATE WILDLIFE RESOURCES CODE\nMORGAN COUNTY\nFOR MORGAN COUNTY. FOR: MORGAN COUNTY\n\nWHEREAS, the Morgan County Sheriff's Office is charged with the enforcement of\nregulations and laws relating to wildlife resources within Morgan County; and\n\nWHEREAS, in the course of the Sheriff's enforcement duties it is often necessary to cite\nindividuals for violations of the various state rules regulating wildlife resources; and\n\nWHEREAS, Morgan County would like to cite violators for county ordinance violations\nrather than state code violations since violators are processed by county enforcement officers,\nprosecuted in county courts by county prosecutors, and incarcerated, if necessary, in county jails;\n\nNOW THEREFOR, the County Council of Morgan County, State of Utah, hereby\nordains as follows:\n\nWILDLIFE RESOURCES ORDINANCE\n\nSection 1. Adoption of the Utah wildlife resources Code, Rules and Regulations\n\nThe Rules and Regulations contained in Utah Code Annotated Title 23, as amended, and the\nRules promulgated thereunder, are hereby adopted as the wildlife resources Code, Rules and\nRegulations of Morgan County. Any provisions of Title 23 providing a penalty greater than a\nClass B misdemeanor, or not relating to criminal or administrative sanctions, are not incorporated\nas part of this ordinance.\n\nSection 2. Amendments\n\nIn order to assure continuing uniformity between the Utah wildlife resources Rules and\nRegulations and the Morgan County wildlife resources Rules and Regulations, this Ordinance\nwill include any and all periodic amendments to the State Rules and Regulations, Title 23, after\nthe effective date of this title, made by the Utah State Legislature or by the Utah Department of\nNatural Resources.\n\nSection 3. Effective Date\n\nThis ordinance shall take effect 15 days after passage, after required publication and after a copy\nof the ordinance is deposited with the Morgan County Clerk's Office.\n\nAPPROVED, ADOPTED, AND PASSED and ordered published by the Morgan County\nCouncil, this 6th day of June , 2006.", "correct": true, "input_tokens": 1168, "output_tokens": 481, "elapsed_seconds": 6.104376500006765, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9765, "attempts": 1, "retries": 0, "total_seconds": 6.1354}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 4, "image": "d6b410b8-2381-4e65-8113-2dbcca295990_png.rf.794671b291d105d363ebd6d8d93b3fc8.jpg", "expected": "THIS SENTENCE WAS WRITTEN BY SOMEONE WITH DYSGRAPHIA", "predicted": "THis SENTENCE WAS WRITTEN BY SOM\n EONE WITH Dysgraphia", "correct": false, "input_tokens": 1181, "output_tokens": 19, "elapsed_seconds": 2.1180684589780867, "metadata": {"question": "Transcribe all handwritten and printed text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.7593, "attempts": 1, "retries": 0, "total_seconds": 2.1314}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 5, "image": "9c225ac4-3b44-42cf-a0dc-4a3984c5bac9_png.rf.1455a695dcdb15839a0deb51bf270c04.jpg", "expected": "When I built menugen ~1 year ago, I observed that the hardest part by far was not the code itself, it was the plethora of services you have to assemble like IKEA furniture to make it real, the DevOps: services, payments, auth, database, security, domain names, etc...\n\nI am really looking forward to a day where I could simply tell my agent: \"build menugen\" (referencing the post) and it would just work. The whole thing up to the deployed web page. The agent would have to browse a number of services, read the docs, get all the api keys, make everything work, debug it in dev, and deploy to prod. This is the actually hard part, not the code itself. Or rather, the better way to think about it is that the entire DevOps lifecycle has to become code, in addition to the necessary sensors/actuators of the CLIs/APIs with agent-native ergonomics. And there should be no need to visit web pages, click buttons, or anything like that for the human.\n\nIt's easy to state, it's now just barely technically possible and expected to work maybe, but it definitely requires from-scratch re-design, work and thought. Very exciting direction!", "predicted": "Andrej Karpathy\n@karpathy\n\nWhen I built menugen ~1 year ago, I observed that the hardest part by far was not the code itself, it was the plethora of services you have to assemble like IKEA furniture to make it real, the DevOps: services, payments, auth, database, security, domain names, etc...\n\nI am really looking forward to a day where I could simply tell my agent: \"build menugen\" (referencing the post) and it would just work. The whole thing up to the deployed web page. The agent would have to browse a number of services, read the docs, get all the api keys, make everything work, debug it in dev, and deploy to prod. This is the actually hard part, not the code itself. Or rather, the better way to think about it is that the entire DevOps lifecycle has to become code, in addition to the necessary sensors/actuators of the CLIs/APIs with agent-native ergonomics. And there should be no need to visit web pages, click buttons, or anything like that for the human.\n\nIt's easy to state, it's now just barely technically possible and expected to work maybe, but it definitely requires from-scratch re-design, work and thought. Very exciting direction!\n\u7ffb\u8bd1\u5e16\u5b50", "correct": true, "input_tokens": 1173, "output_tokens": 274, "elapsed_seconds": 4.342675416031852, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom, keeping each author's handle with their message, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the top-level tweet authored by Andrej Karpathy (@karpathy).", "match_method": "similarity", "score": 0.9725, "attempts": 1, "retries": 0, "total_seconds": 4.3566}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 6, "image": "9fdae0ac-7d89-45f1-b628-bcdbac72c185_png.rf.7b62d1c22ac071a0003f46d2feaae5e5.jpg", "expected": "```javascript\nconst BROWSER_APP_NAMES = new Set([\n \"google chrome\",\n \"google chrome canary\",\n \"chromium\",\n \"microsoft edge\",\n \"mozilla firefox\",\n \"firefox\",\n \"opera\",\n \"brave browser\",\n \"vivaldi\",\n \"arc\",\n]);\n```", "predicted": "```javascript\nconst BROWSER_APP_NAMES = new Set([\n \"google chrome\",\n \"google chrome canary\",\n \"chromium\",\n \"microsoft edge\",\n \"mozilla firefox\",\n \"firefox\",\n \"opera\",\n \"brave browser\",\n \"vivaldi\",\n \"arc\",\n]);\n```", "correct": false, "input_tokens": 1219, "output_tokens": 80, "elapsed_seconds": 3.3392935839947313, "metadata": {"question": "Transcribe every piece of text in this screenshot exactly as written, in reading order, and omit nothing. Put source code inside fenced code blocks, preserving indentation, quotes, and casing exactly, and transcribe surrounding interface text as Markdown. Transcribe only the definition of the `BROWSER_APP_NAMES` constant shown in the code editor, and ignore all other code, the editor chrome, file tabs, sidebars, and the terminal.", "match_method": "similarity", "score": 0.9107, "attempts": 1, "retries": 0, "total_seconds": 3.3635}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 7, "image": "5cf55f37-8adb-4adb-9520-148340548028_png.rf.d09a7340877434f1cbdb25f1eccd4774.jpg", "expected": "TOM GREEN HANDYMAN\n5 Any Street, Any City, That Area Code\nTelephone: 0800 XXX XXX\n\nDate : 6/5/2016\nInvoice No : 0003521\nTax Registered No 123456\n\nMr and Mrs Fielding\nThis Address\nThis City\nThis Area Code\n\nTAX INVOICE\n\n
QuantityDescriptionUnit PriceCost
Upgrade to Bathroom
23.75Labour40.00950.00
50Nails and screws0.8040.00
1Paint and Plywood1000.001000.00
40Imported wall tiles14.00560.00
1Freight150.00150.00
1Sub-contractor : Tile-It228.00
Subtotal2928.00
Tax439.20
Total Due$3,367.20
\n\nPayment due by the 10th of the month following the date of invoice.\nPlease make payment into Bank Account No. 12 3456 789112 012\n\nInterest of 10% per year will be charged on late payments.\n\nCut here\n\nRemittance\n\nMr and Mrs Fielding\n\nTOM GREEN HANDYMAN\n5 Any Street\nAny City\nThat Area Code\n\nAmount Due $3,367.20\nAmount Paid ______", "predicted": "**TOM GREEN HANDYMAN**\n**5 Any Street, Any City, That Area Code**\n**Telephone: 0800 XXX XXX**\n\n**Date :** 6/5/2016 **Invoice No :** 0003521\n\n**Tax Registered No 123456**\n\nMr and Mrs Fielding\nThis Address\nThis City\nThis Area Code\n\n**T A X I N V O I C E**\n\n
QuantityDescriptionUnit PriceCost
Upgrade to Bathroom
23.75Labour40.00950.00
50Nails and screws0.8040.00
1Paint and Plywood1000.001000.00
40Imported wall tiles14.00560.00
1Freight150.00150.00
1Sub-contractor : Tile-It228.00
Subtotal2928.00
Tax439.20
Total Due$3,367.20
\n\nPayment due by the 10th of the month following the date of invoice.\nPlease make payment into Bank Account No. **12 3456 789112 012**\n\nInterest of 10% per year will be charged on late payments.\n\n---\n**Cut here**\n**Remittance**\n**Mr and Mrs Fielding**\n\nTOM GREEN HANDYMAN\n5 Any Street **Amount Due $3,367.20**\nAny City\nThat Area Code **Amount Paid** \\_\\_\\_\\_\\_\\_\\_\\_\\_\\_", "correct": false, "input_tokens": 1194, "output_tokens": 473, "elapsed_seconds": 6.304473584052175, "metadata": {"question": "Transcribe all text in this document exactly and completely, in reading order, preserving casing, punctuation, currency symbols, and codes. Use an HTML table only for genuinely tabular content, mirroring its rows, columns, and merged cells; write the HTML on single lines with no indentation or blank lines between tags, and collapse horizontal alignment to a single space.", "match_method": "similarity", "score": 0.867, "attempts": 1, "retries": 0, "total_seconds": 6.3179}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 8, "image": "1bce4a54-e6bc-4752-b48e-d9889895936a_png.rf.6f12b4139eeac41161f2fb59dad48237.jpg", "expected": "I run hermes handling whatsapp, email, cron jobs, building apps, outreaching customers, outbound and inbound calls \u2014 the whole thing. hasn't needed babysitting in weeks. if you're on the fence just try it. worst case you go back. but I don't think you will", "predicted": "Falcon @Falconve_ \u00b7 6\u5c0f\u65f6\nI run hermes handling whatsapp, email, cron jobs, building apps, outreaching customers, outbound and inbound calls \u2014 the whole thing. hasn't needed babysitting in weeks. if you're on the fence just try it. worst case you go back. but I don't think you will", "correct": false, "input_tokens": 1159, "output_tokens": 76, "elapsed_seconds": 4.769513541017659, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom, keeping each author's handle with their message, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the last (bottom-most) tweet in the thread by Falcon (@Falconve_).", "match_method": "similarity", "score": 0.9143, "attempts": 1, "retries": 0, "total_seconds": 4.8013}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 9, "image": "eb592312-33c0-41ff-91ec-6e87ad25f12e_png.rf.ad80ac2d57c33733bd20600e13e312f3.jpg", "expected": "(SAE09TR.72) A 13-year-old girl sustained an isolated midshaft left femoral fracture in a motor vehicle accident. The fracture was treated with a rigid, antegrade intramedullary nail placed through the piriformis fossa. The fracture healed uneventfully, as shown in Figure 46a; however, at 12 months postoperatively she now reports left hip pain. A current AP radiograph and MRI scan are shown in Figures 46b and 46c. What complication occurred in this patient? Review Topic\n\n1 Chondrolysis\n2 Ischemic necrosis of the femoral head\n3 Ischemic necrosis of the greater trochanter\n4 Femoral neck fracture\n5 Trochanteric overgrowth\n\nPREFERRED RESPONSE 2\n\nThe development of femoral head ischemic necrosis is the iatrogenically created complication in this skeletally immature patient. Placement of a rigid, antegrade intramedullary nail through the piriformis fossa is likely to damage the vascular supply to the femoral head as the vessels ascend the femoral neck on the way to the femoral head. The MRI scan reveals ischemic necrosis with early collapse of the femoral head. The joint space is preserved on the MRI scan, ruling out chondrolysis.\n\n(SAE08OS.196) An adult patient has had low-grade fevers, malaise, and joint pain for the past several days. Examination reveals an erythematous \"bulls eye\" rash over the right thigh (erythema migrans). What is the organism associated with this infection? Review Topic", "predicted": "(SAE09TR.72) A 13-year-old girl sustained an isolated midshaft left femoral fracture in a motor vehicle accident. The fracture was treated with a rigid, antegrade intramedullary nail placed through the piriformis fossa. The fracture healed uneventfully, as shown in Figure 46a; however, at 12 months postoperatively she now reports left hip pain. A current AP radiograph and MRI scan are shown in Figures 46b and 46c. What complication occurred in this patient? Review Topic\n\n*1* Chondrolysis\n*2* Ischemic necrosis of the femoral head\n*3* Ischemic necrosis of the greater trochanter\n*4* Femoral neck fracture\n*5* Trochanteric overgrowth\n\n\nPREFERRED RESPONSE 2\n\nThe development of femoral head ischemic necrosis is the iatrogenically created complication in this skeletally immature patient. Placement of a rigid, antegrade intramedullary nail through the piriformis fossa is likely to damage the vascular supply to the femoral head as the vessels ascend the femoral neck on the way to the femoral head. The MRI scan reveals ischemic necrosis with early collapse of the femoral head. The joint space is preserved on the MRI scan, ruling out chondrolysis.\n\n\n(SAE08OS.196) An adult patient has had low-grade fevers, malaise, and joint pain for the past several days. Examination reveals an erythematous \"bulls eye\" rash over the right thigh (erythema migrans). What is the organism associated with this infection? Review Topic", "correct": true, "input_tokens": 1169, "output_tokens": 334, "elapsed_seconds": 4.654788332991302, "metadata": {"question": "Transcribe every piece of text in this image exactly as written, in reading order, preserving question and option numbering, and omit nothing. Write mathematical expressions in LaTeX and format the result as Markdown that mirrors the layout.", "match_method": "similarity", "score": 0.9916, "attempts": 1, "retries": 0, "total_seconds": 4.6886}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 10, "image": "c50bed4d-e825-46b7-ac5c-a84806fa0481_png.rf.dbad52cae24c6759d646ebb0ad6c30a3.jpg", "expected": "```python\nimport random\n\ndef roll_dice(n=2, sides=6):\n return [random.randint(1, sides) for _ in range(n)]\n\ndef magic_8ball():\n responses = [\n \"Yes\", \"No\", \"Maybe\", \"Ask again later\",\n \"Absolutely\", \"No way\", \"Signs point to yes\",\n \"Don't count on it\", \"Without a doubt\",\n ]\n return random.choice(responses)\n\nif __name__ == \"__main__\":\n print(f\"Rolling 2 dice: {roll_dice()}\")\n print(f\"Magic 8-Ball says: {magic_8ball()}\")\n print(f\"Your lucky number: {random.randint(1, 100)}\")\n```", "predicted": "```python\nimport random\n\ndef roll_dice(n=2, sides=6):\n return [random.randint(1, sides) for _ in range(n)]\n\ndef magic_8ball():\n responses = [\n \"Yes\", \"No\", \"Maybe\", \"Ask again later\",\n \"Absolutely\", \"No way\", \"Signs point to yes\",\n \"Don't count on it\", \"Without a doubt\",\n ]\n return random.choice(responses)\n\nif __name__ == \"__main__\":\n print(f\"Rolling 2 dice: {roll_dice()}\")\n print(f\"Magic 8-Ball says: {magic_8ball()}\")\n print(f\"Your lucky number: {random.randint(1, 100)}\")\n```", "correct": true, "input_tokens": 1171, "output_tokens": 180, "elapsed_seconds": 5.181234374991618, "metadata": {"question": "Transcribe every piece of text in this screenshot exactly as written, in reading order, and omit nothing. Put source code inside fenced code blocks, preserving indentation, quotes, and casing exactly, and transcribe surrounding interface text as Markdown. Transcribe only the code shown in the editor pane, ignoring the editor chrome, file tabs, sidebars, and the line-number gutter.", "match_method": "similarity", "score": 1.0, "attempts": 1, "retries": 0, "total_seconds": 5.2973}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 11, "image": "d0980bab-2f15-4550-b3e6-813a2ad7e709_png.rf.4002baedf14c91e52686c70ec58fd7f0.jpg", "expected": "Example 3 (HW)\nEach of the numbers 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 is written\non a separate piece of paper. The 10 pieces of paper\nare then placed in a hat. If one piece of paper is\nselected at random from hat, estimate the probability\nthat:\n(i) the number written on piece of paper is an even\nnumber or greater than 6.\n(ii) the number written on piece of paper is less than 5\nor greater than 8.\n(iii) the number written on piece of paper is divisible by 4.\n(iv) the \" \" \" \" \" \" \" at least 7.\n(v) \" \" \" \" \" \" \" at most 3.", "predicted": "Example 3 (HW)\nEach of the numbers 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 is written\non a separate piece of paper. The 10 pieces of paper\nare then placed in a hat. If one piece of paper is\nselected at random from hat, estimate the probability\nthat:\n(i) the number written on piece of paper is an even\nnumber or greater than 6.\n(ii) the number written on piece of paper is less than 5\nor greater than 8.\n(iii) the number written on piece of paper is divisible by 4.\n(iv) the \" \" \" \" \" \" \" at least 7.\n(v) CS Scanned with CamScanner\n\" \" \" \" \" \" \" at most 3.", "correct": true, "input_tokens": 1180, "output_tokens": 191, "elapsed_seconds": 4.941334457951598, "metadata": {"question": "Transcribe all handwritten and printed text exactly as written, reading top to bottom and left to right, and omit nothing; mark only genuinely unreadable words as [illegible]. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9505, "attempts": 1, "retries": 0, "total_seconds": 4.999}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 12, "image": "00099ca8-7388-4ccb-a9ae-0def0f38e1d4_png.rf.87454ebaa2a188c18aadac0664ef70f6.jpg", "expected": "I'm losing so much money every single second I dont spend in the states. Every day I wake up, I'm hyperventilating about the fact that I am irresponsibly putting my young family's future at great risk because I can't but help listen to my gut. I am filled with doubt every day", "predicted": "kache @yacineMTB \u00b7 9\u5c0f\u65f6 ...\nI'm losing so much money every single second I dont spend in the states. Every day I wake up, I'm hyperventilating about the fact that I am irresponsibly putting my young family's future at great risk because I can't but help listen to my gut. I am filled with doubt every day\n stainlesssteelcockroach @stainle55446702 \u00b7 10\u5c0f\u65f6\n \u56de\u590d @yacineMTB\n You would like it down south as well. Where engineers are honored as the future.....\n40 1 248 2.5\u4e07", "correct": false, "input_tokens": 1188, "output_tokens": 142, "elapsed_seconds": 3.244001750019379, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom, keeping each author's handle with their message, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the first tweet by kache (@yacineMTB).", "match_method": "similarity", "score": 0.591, "attempts": 1, "retries": 0, "total_seconds": 3.2579}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 13, "image": "838b00ad-2a6d-4bc7-84a3-d3cb3e6fdfb8_png.rf.86b85c55a59bba487946e192adc78406.jpg", "expected": "The French Revolution began in 1789 in France and was caused by several political, social, and economic factors. One major cause was the inequality in the social structure known as the Estates System, where the clergy and nobility enjoyed privileges while the common people had to pay heavy taxes. Another cause was the financial crisis faced by the monarchy due to wars and extravagant spending by Louis XVI and the royal court.\n\nThe influence of Enlightenment thinkers also played a significant role. Philosophers like Jean-Jacques Rousseau and Voltaire promoted ideas of liberty, equality, and popular sovereignty. These ideas encouraged people to question the authority of the monarchy.\n\nThe revolution had major effects on French society and politics. The monarchy was abolished, and France eventually became a republic. The revolution led to the Reign of Terror, during which many people were executed. In the long term, the revolution spread the ideals of liberty, equality, and fraternity across Europe and influenced many future democratic movements.", "predicted": "The French Revolution began in 1789 in France and was caused by several political, social, and economic factors. One major cause was the\ninequality in the social structure known as the Estates System, where the clergy and nobility enjoyed privileges while the common people had\nto pay heavy taxes. Another cause was the financial crisis faced by the monarchy due to wars and extravagant spending by Louis XVI and the\nroyal court.\n\nThe influence of Enlightenment thinkers also played a significant role. Philosophers like Jean-Jacques Rousseau and Voltaire promoted ideas\nof liberty, equality, and popular sovereignty. These ideas encouraged people to question the authority of the monarchy.\n\nThe revolution had major effects on French society and politics. The monarchy was abolished, and France eventually became a republic. The\nrevolution led to the Reign of Terror, during which many people were executed. In the long term, the revolution spread the ideals of\nliberty, equality, and fraternity across Europe and influenced many future democratic movements.", "correct": true, "input_tokens": 1140, "output_tokens": 203, "elapsed_seconds": 3.860842291964218, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9943, "attempts": 1, "retries": 0, "total_seconds": 3.872}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 14, "image": "efe6537c-b164-43c1-8a9b-a329c7b96ec1_png.rf.96d23b9a67c8c503dd57cc8ddb11363b.jpg", "expected": "Clinical Nurse Manager Sep 2012 \u2013 Jul 2014\nBarron Center \u2013 Portland, ME\nManaged nursing operations on a 26-bed skilled rehabilitation unit, ensuring effective clinical care delivery.\n\u2022 Supervised nursing staff performance and provided ongoing competency evaluations.\n\u2022 Developed individualized care plans in collaboration with physicians and rehabilitation teams.\n\u2022 Implemented policies and procedures to meet regulatory and accreditation requirements.\n\nRegistered Nurse, Medical-Surgical Unit (Float Pool) Jun 2012 \u2013 Sep 2012\nMercy Hospital \u2013 Portland, ME\nProvided direct patient care within medical-surgical units, ensuring safe and effective treatment delivery.\n\u2022 Performed comprehensive physical assessments and monitored patient progress.\n\u2022 Administered medications and documented interventions per hospital protocols.\n\u2022 Collaborated with multidisciplinary teams to coordinate and plan care.\n\nEDUCATION, CERTIFICATIONS & LICENSURE\n\nBachelor of Science in Nursing (BSN)\nWestern Governors University, Salt Lake City, UT | Graduated January 2019\n\nAssociate of Science in Nursing (ASN)\nCollege of Nursing and Health Professions, Lewiston, ME | Graduated May 2010\n\nCertifications & Licensure\n\u2022 Registered Nurse (RN License #R057634) \u2013 State of Maine\n\u2022 Basic Life Support (BLS) \u2013 Current through December 2027\n\u2022 Educated in: Accountable Care Organizations (ACOs), Patient-Driven Payment Model (PDPM)\n\u2022 Clinical Systems Proficiency: Cerner / PowerChart, EPIC, Quantum, PointClickCare\n\u2022 Utilization Review Tools: InterQual, NaviHealth, CarePort\n\u2022 Analytics & Administrative Systems: Salesforce, Tableau, Microsoft Excel & PowerPoint, ADP, SAP Concur\n\nSKILLS & ADDITIONAL INFORMATION\n\nTechnical Skills\n\u2022 Clinical Systems & EMRs: Cerner / PowerChart, EPIC, Quantum, PointClickCare\n\u2022 Utilization Management Tools: InterQual, NaviHealth, CarePort\n\u2022 Data & Analytics Platforms: Tableau, Salesforce\n\u2022 Productivity Software: Microsoft Office Suite (Excel, PowerPoint, Word, Outlook)\n\u2022 Administrative Systems: ADP, SAP Concur\n\u2022 Quality & Compliance Tools: Electronic Health Record Audit Systems, Core Measure Review PlatformDedicated and results-\ndriven Recruiter/Talent Acquisition Specialist.\n\nPersonal Strengths\n\u2022 Strong leadership and team mentorship abilities\n\u2022 Critical thinking and complex problem-solving\n\u2022 Effective interdisciplinary communication and collaboration\n\u2022 Process improvement and workflow optimization\n\u2022 Independent and solution-focused decision-making\n\u2022 High attention to detail and documentation accuracy\n\u2022 Adaptable to evolving healthcare technologies and remote environments\n\u2022 Empathetic approach to patient advocacy and care coordination\n\nReferences are available upon request", "predicted": "Clinical Nurse Manager Sep 2012 \u2013 Jul 2014\nBarron Center \u2013 Portland, ME\nManaged nursing operations on a 26-bed skilled rehabilitation unit, ensuring effective clinical care delivery.\n \u2022 Supervised nursing staff performance and provided ongoing competency evaluations.\n \u2022 Developed individualized care plans in collaboration with physicians and rehabilitation teams.\n \u2022 Implemented policies and procedures to meet regulatory and accreditation requirements.\n\nRegistered Nurse, Medical-Surgical Unit (Float Pool) Jun 2012 \u2013 Sep 2012\nMercy Hospital \u2013 Portland, ME\nProvided direct patient care within medical-surgical units, ensuring safe and effective treatment delivery.\n \u2022 Performed comprehensive physical assessments and monitored patient progress.\n \u2022 Administered medications and documented interventions per hospital protocols.\n \u2022 Collaborated with multidisciplinary teams to coordinate and plan care.\n\nEDUCATION, CERTIFICATIONS & LICENSURE\n\nBachelor of Science in Nursing (BSN)\nWestern Governors University, Salt Lake City, UT | Graduated January 2019\n\nAssociate of Science in Nursing (ASN)\nCollege of Nursing and Health Professions, Lewiston, ME | Graduated May 2010\n\nCertifications & Licensure\n \u2022 Registered Nurse (RN License #R057634) \u2013 State of Maine\n \u2022 Basic Life Support (BLS) \u2013 Current through December 2027\n \u2022 Educated in: Accountable Care Organizations (ACOs), Patient-Driven Payment Model (PDPM)\n \u2022 Clinical Systems Proficiency: Cerner / PowerChart, EPIC, Quantum, PointClickCare\n \u2022 Utilization Review Tools: InterQual, NaviHealth, CarePort\n \u2022 Analytics & Administrative Systems: Salesforce, Tableau, Microsoft Excel & PowerPoint, ADP, SAP Concur\n\nSKILLS & ADDITIONAL INFORMATION\n\nTechnical Skills\n \u2022 Clinical Systems & EMRs: Cerner / PowerChart, EPIC, Quantum, PointClickCare\n \u2022 Utilization Management Tools: InterQual, NaviHealth, CarePort\n \u2022 Data & Analytics Platforms: Tableau, Salesforce\n \u2022 Productivity Software: Microsoft Office Suite (Excel, PowerPoint, Word, Outlook)\n \u2022 Administrative Systems: ADP, SAP Concur\n \u2022 Quality & Compliance Tools: Electronic Health Record Audit Systems, Core Measure Review PlatformDedicated and results-\n driven Recruiter/Talent Acquisition Specialist.\n\nPersonal Strengths\n \u2022 Strong leadership and team mentorship abilities\n \u2022 Critical thinking and complex problem-solving\n \u2022 Effective interdisciplinary communication and collaboration\n \u2022 Process improvement and workflow optimization\n \u2022 Independent and solution-focused decision-making\n \u2022 High attention to detail and documentation accuracy\n \u2022 Adaptable to evolving healthcare technologies and remote environments\n \u2022 Empathetic approach to patient advocacy and care coordination\n\nReferences are available upon request", "correct": true, "input_tokens": 1178, "output_tokens": 557, "elapsed_seconds": 6.045639958931133, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9901, "attempts": 1, "retries": 0, "total_seconds": 6.0632}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 15, "image": "e21e8de4-67cb-4b99-acaf-7c73dc28df9f_png.rf.c9c271f7c9fe67f7186ee45aebf42a40.jpg", "expected": "ACS PLUS\n\nADVERTISING COMMUNICATION SERVICES\n\nBloc 17 App 233 1003 Cit\u00e9 les Olympiades\n\nTEL 71 771 324 FAX 71 770 682\n\nCode TVA1243006M/A/M/000\n\nEmail: acs.info@topnet.tn\n\nDEVIS N\u00b0 89-24\n\nClient: IEEE\n\nCode TVA:\n\nAdresse:\n\nT\u00e9l: Fax:\n\nTunis le 12/04/24\n\nCCB : 03210119011500465159A BNA KHERREDINE PACHA\n\n
R\u00e9f\u00e9renceD\u00e9signationQuantit\u00e9P. U.T.V.A.P.H.T.
Rollup 2 x 0,851170.00019%170.000
Pins1201.40019%168.000
Affiche A4 120 g impression R/V301.00019%30.000
Total H.T.368.000
Remise
Total HT368.000
\n\n
Total T.V.A. 10%
Total T.V.A. 7%
Total T.V.A. 19%69.920
Total T.V.A. 29%
Timbre Fiscal1.000
Total T.T.C.438.920
\n\n,\n\nArr\u00eat\u00e9 le pr\u00e9sent devis \u00e0 la somme de:\n\nDIRECTION COMMERCIALE", "predicted": "**ACS PLUS**\nADVERTISING COMMUNICATION SERVICES\nBloc 17 App 233 1003 Cit\u00e9 les Olympiades\nTEL 71 771 324 FAX 71 770 682\nCode TVA1243006M/A/M/000\nEmail: acs.info@topnet.tn\n\n*DEVIS N\u00b0 89-24*\n\nClient: **IEEE**\nCode TVA:\nAdresse:\nT\u00e9l: Fax:\n\nTunis le 12/04/24\n\nCCB : 03210119011500465159A BNA KHERREDINE PACHA\n\n
R\u00e9f\u00e9renceD\u00e9signationQuantit\u00e9P. U.T.V.A.P.H.T.
Rollup 2 x 0,851170.00019%170.000
Pins1201.40019%168.000
Affiche A4 120 g impression R/V301.00019%30.000
\n\n
Total H.T.368.000
Remise
Total HT368.000
Total T.V.A. 10%
Total T.V.A. 7%
Total T.V.A. 19%69.920
Total T.V.A. 29%
Timbre Fiscal1.000
Total T.T.C.438.920
\n\n'\nArr\u00eat\u00e9 le pr\u00e9sent devis \u00e0 la somme de:\n\nDIRECTION COMMERCIALE", "correct": false, "input_tokens": 1194, "output_tokens": 501, "elapsed_seconds": 6.135292208055034, "metadata": {"question": "Transcribe all text in this document exactly and completely, in reading order, preserving casing, punctuation, currency symbols, and codes. Use an HTML table only for genuinely tabular content, mirroring its rows, columns, and merged cells; write the HTML on single lines with no indentation or blank lines between tags, and collapse horizontal alignment to a single space.", "match_method": "similarity", "score": 0.8849, "attempts": 1, "retries": 0, "total_seconds": 6.1424}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 16, "image": "280f2634-897d-499e-9e0e-2426fb6ed193_png.rf.de84ffe2f1cd78e0c4f16f319320c449.jpg", "expected": "Deloitte.\n\nDeloitte Touche Tohmatsu\nIndia LLP\nPrestige Trade Tower, Level 19\n46, Palace Road, High Grounds\nBengaluru - 560 001\nKarnataka, India\n\nTel: +91 80 6188 6000\nFax: +91 80 6188 6011\nwww.deloitte.com\n\nStrictly Private and Confidential\n\nDate: 8 July, 2025\n\nFlipkart Internet Private Limited\nAlyssa Begonia and Clover,\nEmbassy Tech Village ORR,\nDevarabeesanahalli Village,\nVarthur Hobli, Bangalore - 560103, Karnataka\n\nKind Attention: Mr. Kamal Chopra\n\nDear Sir,\n\nRe: Indirect Tax Services \u2013 Engagement Letter\n\nWe thank you for giving an opportunity to Deloitte Touche Tohmatsu India LLP (\u201cDTTI LLP\u201d or \u201cService Provider\u201d) to assist FLIPKART INTERNET PRIVATE LIMITED (\u201cClient\u201d/\u201dFKN\u201d/\u201dCompany\u201d) in Indirect tax services (\u201cServices\u201d) for the benefit of the Client and the subsidiaries and/or Affiliates of the Client as specified in Annexure-2.\n\n(The identified subsidiaries and Affiliates in Annexure-2 together with the Client, are hereinafter collectively referred to as \u201cBeneficiary/(ies)\u201d). The Services will be provided in accordance with and subject to the provisions of this engagement letter (including any Work Orders/Statement of Work and Annexures 1, 2, 3, 4, 5 and 6 hereto) (\u201cEngagement Letter\u201d) and the Standard Tax Terms attached hereto (the Engagement Letter and Standard Tax Terms hereinafter are collectively referred to as collectively \u201cContract\u201d).\n\n1. BACKGROUND\n\n1.1 Flipkart Internet Private Limited is a company which owns the E-commerce portal \u201cFlipkart.com\u201d. It functions as a marketplace wherein various business entities can list their products in the website in return to a fee charged to use its portal.\n\n1.2 We further understand that the company receives revenue through payment gateway services, hosting services, advertisement services, etc and is also engaged in fulfilment services rendered to the sellers listed on the website.\n\n1.3 We would be glad to provide assistance, more specifically described in below paragraph(s).", "predicted": "Deloitte.\n\nDeloitte Touche Tohmatsu\nIndia LLP\nPrestige Trade Tower, Level 19\n46, Palace Road, High Grounds\nBengaluru - 560 001\nKarnataka, India\n\nTel: +91 80 6188 6000\nFax: +91 80 6188 6011\nwww.deloitte.com\n\nStrictly Private and Confidential\n\nDate: 8 July, 2025\n\nFlipkart Internet Private Limited\nAlyssa Begonia and Clover,\nEmbassy Tech Village ORR,\nDevarabeesanahalli Village,\nVarthur Hobli, Bangalore - 560103, Karnataka\n\nKind Attention: Mr. Kamal Chopra\n\nDear Sir,\n\nRe: Indirect Tax Services \u2013 Engagement Letter\n\nWe thank you for giving an opportunity to Deloitte Touche Tohmatsu India LLP (\"DTTI LLP\" or \"Service Provider\") to assist FLIPKART INTERNET PRIVATE LIMITED (\"Client\"/\"FKN\"/\"Company\") in Indirect tax services (\"Services\") for the benefit of the Client and the subsidiaries and/or Affiliates of the Client as specified in Annexure-2.\n\n(The identified subsidiaries and Affiliates in Annexure-2 together with the Client, are hereinafter collectively referred to as \"Beneficiary/(ies)\"). The Services will be provided in accordance with and subject to the provisions of this engagement letter (including any Work Orders/Statement of Work and Annexures 1, 2, 3, 4, 5 and 6 hereto) (\"Engagement Letter\") and the Standard Tax Terms attached hereto (the Engagement Letter and Standard Tax Terms hereinafter are collectively referred to as collectively \"Contract\").\n\n1. BACKGROUND\n\n1.1 Flipkart Internet Private Limited is a company which owns the E-commerce portal \"Flipkart.com\". It functions as a marketplace wherein various business entities can list their products in the website in return to a fee charged to use its portal.\n\n1.2 We further understand that the company receives revenue through payment gateway services, hosting services, advertisement services, etc and is also engaged in fulfilment services rendered to the sellers listed on the website.\n\n1.3 We would be glad to provide assistance, more specifically described in below paragraph(s).\n\nMamatha", "correct": true, "input_tokens": 1161, "output_tokens": 481, "elapsed_seconds": 5.954838957986794, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9853, "attempts": 1, "retries": 0, "total_seconds": 5.9899}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 17, "image": "93441566-50c0-4bfb-9a31-437a2bc5e4f2_png.rf.cd5bf1f53754c220ec912b1c44ade759.jpg", "expected": "2\n3000\nCOUNTER +2000\nActivate:Main Once Per Turn You may add 1 card from your Life area to your hand: This Character gains +2000 power during this turn. Then, give this Character up to 2 rested DON!! cards.\nCHARACTER\nSanji\nStraw Hat Crew\nOP01-013", "predicted": "2 3000 \u6253\nSTRIKE\nCOUNTER +2000\nActivate:Main Once Per Turn You may add 1 card from\nyour Life area to your hand: This Character gains +2000\npower during this turn. Then, give this Character up to 2\nrested DON!! cards.\nCHARACTER\nSanji\nStraw Hat Crew OP01-013 R 1\n\u00a9E.O./S \u00a9E.O./S., T.A. BANDAI MADE IN JAPAN", "correct": false, "input_tokens": 1178, "output_tokens": 115, "elapsed_seconds": 3.651270459056832, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.7954, "attempts": 1, "retries": 0, "total_seconds": 3.664}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 18, "image": "2e43ea51-fc34-4d42-8b0f-66b2172d81f7_png.rf.345ac976ac43b542da24279e8683876b.jpg", "expected": "Q.5\n\nLet $L_1$ be the line of intersection of the planes given by the equations\n\n$$2x + 3y + z = 4 \\quad \\text{and} \\quad x + 2y + z = 5.$$\n\nLet $L_2$ be the line passing through the point $P(2, -1, 3)$ and parallel to $L_1$. Let $M$ denote the plane given by the equation\n\n$$2x + y - 2z = 6.$$\n\nSuppose that the line $L_2$ meets the plane $M$ at the point $Q$. Let $R$ be the foot of the perpendicular drawn from $P$ to the plane $M$ .\n\nThen which of the following statements is (are) TRUE?\n\n| | |\n|---|---|\n| (A) | The length of the line segment $PQ$ is $9\\sqrt{3}$ |\n| (B) | The length of the line segment $QR$ is $15$ |\n| (C) | The area of $\\triangle PQR$ is $\\dfrac{3}{2}\\sqrt{234}$ |\n| (D) | The acute angle between the line segments $PQ$ and $PR$ is $\\cos^{-1}\\left(\\dfrac{1}{2\\sqrt{3}}\\right)$ |\n\nAnswer: A, C\n\n3/9", "predicted": "Q.5 Let $L_1$ be the line of intersection of the planes given by the equations\n\n$$2x + 3y + z = 4 \\text{ and } x + 2y + z = 5.$$\n\nLet $L_2$ be the line passing through the point $P(2, -1, 3)$ and parallel to $L_1$. Let $M$ denote the plane given by the equation\n\n$$2x + y - 2z = 6.$$\n\nSuppose that the line $L_2$ meets the plane $M$ at the point $Q$. Let $R$ be the foot of the perpendicular drawn from $P$ to the plane $M$.\n\nThen which of the following statements is (are) TRUE?\n\n| | |\n| :--- | :--- |\n| (A) | The length of the line segment $PQ$ is $9\\sqrt{3}$ |\n| (B) | The length of the line segment $QR$ is $15$ |\n| (C) | The area of $\\Delta PQR$ is $\\frac{3}{2}\\sqrt{234}$ |\n| (D) | The acute angle between the line segments $PQ$ and $PR$ is $\\cos^{-1}\\left(\\frac{1}{2\\sqrt{3}}\\right)$ |\n\n**Answer: A, C**\n\n---\n
3/9
", "correct": false, "input_tokens": 1184, "output_tokens": 314, "elapsed_seconds": 4.654287124983966, "metadata": {"question": "Transcribe every piece of text in this image exactly as written, in reading order, preserving question and option numbering, and omit nothing. Write mathematical expressions in LaTeX and format the result as Markdown that mirrors the layout.", "match_method": "similarity", "score": 0.923, "attempts": 1, "retries": 0, "total_seconds": 4.6683}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 19, "image": "8b690a3e-b9cd-48e1-a323-981e43142145_png.rf.84216f941b59ba17963217ea5bea26e9.jpg", "expected": "Question 37:\nConsider a system with six I/O-bound processes and one CPU-bound process. Each I/O-bound process executes for 1 ms before blocking for a 12 ms I/O operation. The context-switch overhead is 0.1 ms.\nUsing Round-Robin scheduling:\na. Time quantum = 1 ms\nb. Time quantum = 6 ms\nFor each case:\n\u2022 Draw the execution timeline.\n\u2022 Determine the average waiting time of the CPU-bound process.\n\u2022 Explain how the choice of quantum affects waiting time.\n\nQuestion 38:\nConsider a system with twelve I/O-bound tasks and one CPU-bound task. Each I/O-bound task runs for 1 ms before performing an 8 ms I/O operation.\nUsing Round-Robin scheduling:\na. Time quantum = 1 ms\nb. Time quantum = 4 ms\nFor each case:\n\u2022 Show the sequence of process execution.\n\u2022 Determine the average number of processes in the ready queue.\n\u2022 Explain how the quantum affects queue length.\n\nQuestion 39:\nConsider a system with eight I/O-bound tasks and two CPU-bound tasks. Each I/O-bound task requests an I/O operation after every 2 ms of CPU execution. Each I/O operation requires 12 ms. Using Round-Robin scheduling:\na. Time quantum = 2 ms\nb. Time quantum = 8 ms\nDetermine:\n\u2022 CPU utilization.\n\u2022 I/O device utilization.\n\u2022 Periods when the I/O device is idle.", "predicted": "Question 37:\nConsider a system with six I/O-bound processes and one CPU-bound process. Each I/O-bound\nprocess executes for 1 ms before blocking for a 12 ms I/O operation. The context-switch\noverhead is 0.1 ms.\nUsing Round-Robin scheduling:\n a. Time quantum = 1 ms\n b. Time quantum = 6 ms\nFor each case:\n \u2022 Draw the execution timeline.\n \u2022 Determine the average waiting time of the CPU-bound process.\n \u2022 Explain how the choice of quantum affects waiting time.\n\nQuestion 38:\nConsider a system with twelve I/O-bound tasks and one CPU-bound task. Each I/O-bound task\nruns for 1 ms before performing an 8 ms I/O operation.\nUsing Round-Robin scheduling:\n a. Time quantum = 1 ms\n b. Time quantum = 4 ms\nFor each case:\n \u2022 Show the sequence of process execution.\n \u2022 Determine the average number of processes in the ready queue.\n \u2022 Explain how the quantum affects queue length.\n\nQuestion 39:\nConsider a system with eight I/O-bound tasks and two CPU-bound tasks. Each I/O-bound task\nrequests an I/O operation after every 2 ms of CPU execution. Each I/O operation requires 12\nms. Using Round-Robin scheduling:\n a. Time quantum = 2 ms\n b. Time quantum = 8 ms\nDetermine:\n \u2022 CPU utilization.\n \u2022 I/O device utilization.\n \u2022 Periods when the I/O device is idle.", "correct": false, "input_tokens": 1162, "output_tokens": 368, "elapsed_seconds": 5.163906500092708, "metadata": {"question": "Transcribe every piece of text in this image exactly as written, in reading order, preserving question and option numbering, and omit nothing. Output as plain text but preserve the visual structure. Do not add any extra markdown styling.", "match_method": "similarity", "score": 0.9495, "attempts": 1, "retries": 0, "total_seconds": 5.1743}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 20, "image": "056e17c9-9b46-496a-9cf8-c1b54bd73216_png.rf.ad6da03e5299b085ff446174b8c6cc4b.jpg", "expected": "```python\nclass Snapshot(BaseModel):\n pageIndex: int = 1\n stateId: str # computed by extension\n interactive: List[InteractiveElement] = Field(default_factory=list)\n extracted: Optional[ExtractedCard] = None\n ts_ms: int\n```", "predicted": "```python\nclass Snapshot(BaseModel):\n pageIndex: int = 1\n stateId: str # computed by extension\n interactive: List[InteractiveElement] = Field(default_factory=list)\n extracted: Optional[ExtractedCard] = None\n ts_ms: int\n```", "correct": true, "input_tokens": 1200, "output_tokens": 71, "elapsed_seconds": 3.6073927499819547, "metadata": {"question": "Transcribe every piece of text in this screenshot exactly as written, in reading order, and omit nothing. Put source code inside fenced code blocks, preserving indentation, quotes, and casing exactly, and transcribe surrounding interface text as Markdown. Transcribe only the complete definition of the `Snapshot` class exactly as it appears in the code editor, including the class line and all its fields, and ignore all other code, editor chrome, file tabs, sidebars, and the terminal.", "match_method": "similarity", "score": 1.0, "attempts": 1, "retries": 0, "total_seconds": 3.6463}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 21, "image": "0f7a1b1b-b0f9-4dba-9659-0455701b7a3f_png.rf.a006d974af16d067a2ee124fe9e15f3f.jpg", "expected": "Department of Computer Science and Engineering\nFaculty of Technology & Engineering\nThe M. S. University of Baroda, Vadodara\nS.S BE IV CSE (______)\n\nINDUSTRY PROJECT EVALUATION FORM\n\nName of the Student : Raval Sumit Bharatbhai\nName of Project Guide : Sukhvala Prit Hasmukhbhai\nTitle / Designation : Jr. Salesforce Developer\nEmail of Project Guide : sukhvalaps@gmail.com\nAddress of the Organization : Dev Arcade, U3, Eru Char Rasta, Vejalpore, Jalalpore, Eroo, Navsari, Gujarat-396450\nContact No. : 98751 62607\n\n(Indicate your choice by tick a (\u2713) mark):\n\nHighest-----------------------------------------------------------------Lowest\n\n
Attributes of ObservancePO54321
1Punctuality/ RegularityPO8\u2713
2Sincerity in LearningPO12\u2713
3Enthusiasm to use new technological toolsPO5\u2713
4Team Spirit: Relationship with Team MembersPO9\u2713
5Technical/Programming SkillsPO1\u2713
6Societal Impact of ProjectPO7\u2713
7InnovationPO1,PO5\u2713
8Knowledge of Algorithm OptimizationPO1,PO4\u2713
9Problem Solving AbilityPO2\u2713
10Project Management/Leadership Skills: Taking responsibilitiesPO11\u2713
11Communication SkillsPO10\u2713
12Implementing InstructionsPO3\u2713
13Achievement of DeadlinesPO11\u2713
14Follows Sustainable Development practices in day to day work and project workPO6\u2713
15Overall Performance, Behavior and AttitudePO8\u2713
\n\nPage 1 of 2", "predicted": "Department of Computer Science and Engineering\nFaculty of Technology & Engineering\nThe M. S. University of Baroda, Vadodara\nS.S BE IV CSE ( )\n\nINDUSTRY PROJECT EVALUATION FORM\n\n
Name of the Student: Raval Sumit Bharatbhai
Name of Project Guide: Sukhvala Prit Hasmukhbhai
Title / Designation: Jr. Salesforce Developer
Email of Project Guide: sukhvalaps@gmail.com
Address of the Organization: Dev Arcade, U3, Eru Char Rasta,
Vejalpore, Jalapore, Eroo, Navsari,
Contact No.: 98751 62607 Gujarat-396450
\n\n(Indicate your choice by tick a (\u221a) mark):\n\nHighest-----------------------------------------------------Lowest\n\n
Attributes of ObservancePO54321
1Punctuality/ RegularityPO8\u2713
2Sincerity in LearningPO12\u2713
3Enthusiasm to use new technological toolsPO5\u2713
4Team Spirit: Relationship with Team MembersPO9\u2713
5Technical/Programming SkillsPO1\u2713
6Societal Impact of ProjectPO7\u2713
7InnovationPO1,PO5\u2713
8Knowledge of Algorithm OptimizationPO1,PO4\u2713
9Problem Solving AbilityPO2\u2713
10Project Management/Leadership Skills: Taking responsibilitiesPO11\u2713
11Communication SkillsPO10\u2713
12Implementing InstructionsPO3\u2713
13Achievement of DeadlinesPO11\u2713
14Follows Sustainable Development practices in day to day work and project workPO6\u2713
15Overall Performance, Behavior and AttitudePO8\u2713
\n\nPage 1 of 2", "correct": false, "input_tokens": 1166, "output_tokens": 669, "elapsed_seconds": 6.844451833050698, "metadata": {"question": "Transcribe all text in this document exactly and completely, in reading order, preserving casing, punctuation, currency symbols, and codes. Use an HTML table only for genuinely tabular content, mirroring its rows, columns, and merged cells; write the HTML on single lines with no indentation or blank lines between tags, and collapse horizontal alignment to a single space.", "match_method": "similarity", "score": 0.8984, "attempts": 1, "retries": 0, "total_seconds": 6.8587}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 22, "image": "4f216ea0-af67-40e1-a226-2884e051db56_png.rf.b2fadeee17b3985c08325bec449bfd27.jpg", "expected": "NANAVATI\nMAX Super Speciality Hospital\n\n28/11/25\n\nTo\n\nWHOM SO EVER IT MAY CONCERNS\n\nMrs. Tanvi Mehta, 33/F, K/c/o CKD Stage 5 is planned for Live related kidney transplant on 2/12/2025. Post op patient is given immunosuppressants so require Isolation / Single room for infection prevention.\n\nSo kindly consider the same.\n\nFor Dr. Jalin Kotuan.\n\nDr. Balabhai Nanavati Hospital (Charitable) \nS.V. Road, Vile Parle (W), Mumbai - 400 056 \nTel.: +91-22-6134 7500 \nManaged by Max Hospitals and Allied services Limited\n\nwww.nanavatimaxhospital.org", "predicted": "NANAVATI\nMAX Super Speciality\nHospital 28/11/25\nTo\nWHOM SO EVER IT MAY CONCERNS\nMrs. Tanvi Mehta, 33/F, K/c/o CKD Stage 5\nis planned for Live related Kidney transplant\non 2/12/2025. Post op patient is given\nimmunosuppressants so require Isolation/\nSingle room for infection prevention.\nSo Kindly consider the same.\n\nDR. BALABHAI NANAVATI HOSPITAL\nMUMBAI-56.\nFor Dr. Jatin Kothari.\n\nDr. Balabhai Nanavati Hospital (Charitable)\nS.V. Road, Vile Parle (W), Mumbai - 400 056\nTel.: +91-22-6134 7500\nManaged by Max Hospitals and Allied services Limited\nwww.nanavatimaxhospital.org\nNABH\nH-2015-0359\nDec 02, 18 - Dec 01, 21\nSince Dec 02, 2015", "correct": false, "input_tokens": 1140, "output_tokens": 253, "elapsed_seconds": 9.482245292048901, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.8088, "attempts": 1, "retries": 0, "total_seconds": 9.5375}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 23, "image": "058e2b7c-372e-4d28-8921-9686341124d1_png.rf.17dd3d796974c2aef56049a1e6edcee8.jpg", "expected": "Sir Ganga Ram Hospital\nSir Ganga Ram Hospital Marg, Rajinder Nagar,\nNew Delhi-110060, INDIA Tel : +91-11-4225 4000\n\nMedical Superintendent (Offg.)\nSir Ganga Ram Kolmet Hospital, 7-B, Pusa Road,\nNew Delhi-110005. Tel : +91-11-45099999, (D) 45099980\n\nDr. Raj Kamal Agarwal\nSr. Consultant\nDeptt. of Anaesthesiology\nPain & Peri Operative Medicine\nMobile : +91 98101 52201\nE-mail : kamalagarwal300@gmail.com\n\nTO WHOM IT MAY CONCERN\n\nAs per ICMR guideline, the contacts of COVID +ve cases should be put on HOME ISOLATION even with Mild Symptoms\n\nIt is advised that everybody takes these preventive medication apart from following SOCIAL DISTANCING, HAND HYGIENE & WEARING MASK\n\nRx\n\u2022 TAB HYDROXY CHLOROQUINE 400mg once a week\n\u2022 TAB VITAMIN C one gram once a day\n\u2022 TAB ZINC 50 mg once a day\n\nIn case of fever\n\n* \u2022 TAB CROCIN/CALPOL 650 mg SOS\n\nIn case of throat pain & cough\n\n* \u2022 TAB CETRIZINE 10mg once a day.\n\u2022 SYRUP ALEX 2/3 Tea spoon 3 times a day.\n\nDr. RAJ KAMAL AGARWAL\nMBBS, DA\nDMC No. 14517\nSENIOR CONSULTANT\nDEPTT. OF ANAESTHSIOLOGY\nPERIOPERATIVE MEDICINE & PAIN\nSIR GANGARAM HOSPITAL\nRAJINDER NAGAR, NEW DELHI-110060\nPh.9810152201\n\nResidence :\n181, Royalton Tower, Princeton Estate, DLF Phase-V, Gurugram, Haryana", "predicted": "Sir Ganga Ram Hospital\nSir Ganga Ram Hospital Marg, Rajinder Nagar,\nNew Delhi-110060, INDIA Tel : +91-11-4225 4000\nMedical Superintendent (Offg.)\nSir Ganga Ram Kolmet Hospital, 7-B, Pusa Road,\nNew Delhi-110005. Tel : +91-11-45099999, (D) 45099980\nDr. Raj Kamal Agarwal\nSr. Consultant\nDeptt. of Anaesthesiology\nPain & Peri Operative Medicine\nMobile : +91 98101 52201\nE-mail : kamalagarwal300@gmail.com\n\nTO WHOM IT MAY CONCERN\nAs per ICMR guideline, the contacts of\nCOVID +ve cases should be put on HOME\nISOLATION even with Mild Symptoms\nIt is advised that everybody takes these\npreventive medication apart from following\nSOCIAL DISTANCING, HAND HYGIENE & WEARING\nMASK\nRx\n\u2022 TAB HYDROXYCHLOROQUINE 400mg once a week\n\u2022 TAB VITAMIN C one gram once a day\n\u2022 TAB ZINC 50mg once a day\nIn case of fever\n* \u2022 TAB CROCIN / CALPOL 650mg SOS\nIn case of throat pain & cough\n* \u2022 TAB CETRIZINE 10mg once a day.\n\u2022 SYRUP ALEX 2/3 tea spoon 3 times a day.\n\nDR. RAJ KAMAL AGARWAL\n[illegible] MBBS, DA\n10- DMC No 4537\nSENIOR CONSULTANT\nDEPTT. OF ANAESTHSIOLOGY\nPERIOPERATIVE MEDICINE & PAIN\nSIR GANGARAM HOSPITAL\nRAJINDER NAGAR, NEW DELHI-110060\nPH: 9810152201\nResidence :\n181, Royalton Tower, Princeton Estate, DLF Phase-V, Gurugram, Haryana-122011", "correct": true, "input_tokens": 1152, "output_tokens": 454, "elapsed_seconds": 8.039064957993105, "metadata": {"question": "Transcribe all handwritten and printed text exactly as written, reading top to bottom and left to right, and omit nothing; mark only genuinely unreadable words as [illegible]. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9584, "attempts": 1, "retries": 0, "total_seconds": 8.1195}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 24, "image": "1b4e5426-d109-4398-8e45-ab1dc497980f_png.rf.bded2a0f08d8a00ca919034e8f04cf48.jpg", "expected": "Lesson \n1.1\n\nReading (Recognizing Uppercase and Lowercase Letters)\n\nActivity\n\nCircle the matching lowercase letter in each row. The first one has been completed.\n\n| | | | | |\n|---|---|---|---|---|\n| A | c | (a) | e | h |\n| B | v | n | (b) | l |\n| C | a | w | e | (c) |\n| D | (d) | l | t | i |\n| E | b | m | x | (e) |\n| F | e | o | (f) | p |\n| G | h | (g) | r | s |\n| H | v | a | (h) | r |\n| I | c | a | (i) | p |\n| J | t | y | o | (j) |\n| K | (k) | x | d | u |\n| L | o | (l) | a | t |\n| M | b | (m) | n | w |", "predicted": "Lesson\n1.1\n\n# Reading (Recognizing Uppercase and Lowercase Letters)\n\n## Activity\n\n**Circle the matching lowercase letter in each row. The first one has been completed.**\n\n| A | c | $\\textcircled{\\text{a}}$ | e | h |\n| :--- | :---: | :---: | :---: | :---: |\n| **B** | v | n | $\\textcircled{\\text{b}}$ | l |\n| **C** | a | w | $\\textcircled{\\text{e}}$ | c |\n| **D** | $\\textcircled{\\text{d}}$ | l | t | i |\n| **E** | b | m | x | $\\textcircled{\\text{e}}$ |\n| **F** | e | o | $\\textcircled{\\text{f}}$ | p |\n| **G** | h | $\\textcircled{\\text{g}}$ | r | s |\n| **H** | v | a | $\\textcircled{\\text{h}}$ | r |\n| **I** | c | a | $\\textcircled{\\text{i}}$ | p |\n| **J** | t | y | o | $\\textcircled{\\text{j}}$ |\n| **K** | $\\textcircled{\\text{k}}$ | x | d | u |\n| **L** | o | $\\textcircled{\\text{l}}$ | a | t |\n| **M** | b | $\\textcircled{\\text{m}}$ | n | w |\n\nCabsera", "correct": false, "input_tokens": 1190, "output_tokens": 328, "elapsed_seconds": 4.690741917002015, "metadata": {"question": "Transcribe every piece of text in this image exactly as written, in reading order, preserving question and option numbering, and omit nothing. Write mathematical expressions in LaTeX and format the result as Markdown that mirrors the layout. Ignore the vertical text printed sideways along the page margin.", "match_method": "similarity", "score": 0.5358, "attempts": 1, "retries": 0, "total_seconds": 4.7279}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 25, "image": "9e81338a-33bb-479d-939a-0df376f0a972_png.rf.917d36705351e18951147dc224677339.jpg", "expected": "yes exactly! a bit like i'm being manipulated in some creepy way. \"please like me, look how much i know about you, we are good friends\".", "predicted": "Andrej Karpathy @karpathy \u00b7 1\u5c0f\u65f6\nyes exactly! a bit like i'm being manipulated in some creepy way. \"please like me, look how much i know about you, we are good friends\".\n4 2 105 4,300", "correct": false, "input_tokens": 1184, "output_tokens": 64, "elapsed_seconds": 3.304465707973577, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom, keeping each author's handle with their message, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the last (bottom-most) tweet authored by Andrej Karpathy (@karpathy).", "match_method": "similarity", "score": 0.7473, "attempts": 1, "retries": 0, "total_seconds": 3.337}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 26, "image": "e6e06b1b-da53-41ac-bfdf-9316443ff037_png.rf.39688157a0a030c060170f7400170d30.jpg", "expected": "31/3/24 AI OCR Tools\n\nQuite unusually for me, this essay started its life as a scribble in a notebook rather than something I typed into a markdown editor. A few weeks ago Tiago Forte made a short video suggesting that people can use GPT4-V to capture their hand-written notes digitally. I've been looking for a \"smart\" OCR tool that can process my terribly scratchy, spidery hand writing for many years and none have quite cut the mustard. But, I thought, why not give it a go. To my absolute surprise, GPT did a phenomenal job of parsing my scrawlings and spitting out text. I was seriously impressed. Handwriting OCR has now gone from a fun toy and conversation piece to something I can actually, seriously use in my workflow. So then, is GPT via ChatGPT the best option I've got for this task or are there any FOSS tools and models that I could use instead?\n\nThe Closest option: CRAFT-TROCR\n\nI played with this a couple of years ago and it was reasonably good at certain content but only if I write in my very best hand writing all the time. And I don't do that because when I am taking notes in a meeting or something, I am thinking about the meeting, not my hand writing.\n\nHow does CRAFT-TROCR work? Are there any major differences? I'm guessing a big transformer model is able to maximise probability globally across the image + the generated text.\n\n68", "predicted": "31/3/24 AI OCR Tools\n\nQuite unusually for me, this essay started its life\nas a scribble in a notebook rather than something\nI typed into a markdown editor. A few weeks ago\nTiago Forte made a short video suggesting that\npeople can use GPT4-V to capture their hand-written\nnotes digitally. I've been looking for a \"smart\"\nOCR tool that can process my terribly scratchy,\nspidery hand writing for many years and none have\nquite cut the mustard. But, I thought, why not\ngive it a go. To my absolute surprise, GPT did\na phenomenal job of parsing my scrawlings and\nspitting out text. I was seriously impressed.\nHandwriting OCR has now gone from a fun toy\nand conversation piece to something I can actually, seriously\nuse in my workflow. So then, is GPT via ChatGPT\nthe best option I've got for this task or are\nthere any FOSS tools and models that I could\nuse instead?\n\nThe Classic option: CRAFT-TROCR\n\nI played with this a couple of years ago and\nit was reasonably good at certain content but only\nif I write in my very best hand writing all the time.\nAnd I don't do that because when I am taking\nnotes in a meeting or something, I am thinking about\nthe meeting, not my hand writing.\n\nHow does CRAFT-TROCR work? Are there any major\ndifferences? I'm guessing a big transformer model\nis able to maximise probability globally across the\nimage + the generated text.\n\n68", "correct": true, "input_tokens": 1210, "output_tokens": 341, "elapsed_seconds": 6.424516541999765, "metadata": {"question": "Transcribe all handwritten and printed text exactly as written, reading top to bottom and left to right, and omit nothing; mark only genuinely unreadable words as [illegible]. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the text on the left page of the notebook, ignoring the partially visible right page.", "match_method": "similarity", "score": 0.9787, "attempts": 1, "retries": 0, "total_seconds": 6.4739}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 27, "image": "d1d7aaf7-169c-4847-866d-61bc0a6784b4_png.rf.47c7117d83bf6448f821dbc28e0e6255.jpg", "expected": "R\u00c9PUBLIQUE FRAN\u00c7AISE\nCARTE NATIONALE D'IDENTIT\u00c9 / IDENTITY CARD\n\nNOM / Surname \nMARTIN\n\nPr\u00e9noms / Given names \nMa\u00eblys Ga\u00eblle, Marie\n\nSEXE / Sex\nF\n\nNATIONALIT\u00c9 / Nationality\nFRA\n\nDATE DE NAISS. / Date of birth \n13 07 1990\n\nLIEU DE NAISSANCE / Place of birth \nPARIS\n\nNOM D'USAGE / Alternate name \nNOM D'USAGE\n\nN\u00b0 DU DOCUMENT / Document No. \nX4RTBPFW4\n\nDATE D'EXPIR. / Expiry date \n11 02 2030\n\nSignature\n\n384213", "predicted": "R\u00c9PUBLIQUE FRAN\u00c7AISE FR\nCARTE NATIONALE D'IDENTIT\u00c9 / IDENTITY CARD\nNOM / Surname\nMARTIN\nPr\u00e9noms / Given names\nMa\u00eblys-Ga\u00eblle, Marie\nSEXE / Sex NATIONALIT\u00c9 / Nationality DATE DE NAISS. / Date of birth\nF FRA 13 07 1990\nLIEU DE NAISSANCE / Place of birth\nPARIS\nNOM D'USAGE / Alternate name\nNOM D'USAGE\nN\u00b0 DU DOCUMENT / Document No. DATE D'EXPIR. / Expiry date\nX4RTBPFW4 11 02 2030\n384213", "correct": false, "input_tokens": 1179, "output_tokens": 149, "elapsed_seconds": 5.989012333913706, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the main identity document, reading top to bottom and left to right, and ignore the vertical text along the left edge, the signature graphic, and the faint background watermark.", "match_method": "similarity", "score": 0.8504, "attempts": 1, "retries": 0, "total_seconds": 6.0498}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 28, "image": "bcd74d99-f2d8-4005-aa54-2cc083e5a293_png.rf.1d000af6e7da39b4a95398db67f4bcbb.jpg", "expected": "4/16/26, 3:09 PM\n\nDocs\n\nGetting Started with Docker setup\n\nTo begin developing and deploying applications within this environment, you must have Docker Engine and the Docker Compose plugin installed. Follow the steps below to set up the environment on a Debian/Ubuntu-based system.\n\n1. Update the Package Index\n\nsudo apt update\n\nsudo apt install -y ca-certificates curl gnupg lsb-release\n\ncurl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --dearmor -o /etc/apt/keyrings/docker.gpg\n\nsudo chmod a+r /etc/apt/keyrings/docker.gpg\n\necho \\\n \"deb [arch=$(dpkg --print-architecture) signed-by=/etc/apt/keyrings/docker.gpg] https://download.docker.com/linux/ubuntu \\\n $(. /etc/os-release && echo \"$VERSION_CODENAME\") stable\" | \\\n sudo tee /etc/apt/sources.list.d/docker.list > /dev/null\n\nsudo apt update\n\nsudo apt install -y docker-ce docker-ce-cli containerd.io docker-buildx-plugin docker-compose-plugin", "predicted": "4/16/26, 3:09 PM Docs\n\nGetting Started with Docker setup\n\nTo begin developing and deploying applications within this environment, you must\nhave Docker Engine and the Docker Compose plugin installed. Follow the steps\nbelow to set up the environment on a Debian/Ubuntu-based system.\n\n 1. Update the Package Index\n\n sudo apt update\n\n sudo apt install -y ca-certificates curl gnupg lsb-release\n\n curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --\n dearmor -o /etc/apt/keyrings/docker.gpg\n\n sudo chmod a+r /etc/apt/keyrings/docker.gpg\n\n echo \\\n \"deb [arch=$(dpkg --print-architecture) signed-\n by=/etc/apt/keyrings/docker.gpg]\n https://download.docker.com/linux/ubuntu \\\n $(. /etc/os-release && echo \"$VERSION_CODENAME\") stable\" | \\\n sudo tee /etc/apt/sources.list.d/docker.list > /dev/null\n\n sudo apt update\n\n sudo apt install -y docker-ce docker-ce-cli containerd.io docker-\n buildx-plugin docker-compose-plugin", "correct": true, "input_tokens": 1161, "output_tokens": 269, "elapsed_seconds": 4.677433667005971, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9795, "attempts": 1, "retries": 0, "total_seconds": 4.6866}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 29, "image": "8aa12106-fbe5-4983-96bf-a1243a7c4020_png.rf.83832cdeaaf470d6954bbada16920ccd.jpg", "expected": "\"Jade City\"\nBaan 16 - 8256 AX\nBiddinghuizen\n\nT.Nr: L7\n\n
1 Gebraden magere spek met pikante saus a 19.50 (1 Nasi a EUR 1.00)EUR20.50
1 Chinese bami a la \"Jade City\" a 19.00EUR19.00
1 Babi pangang met pikante saus a 19.00 (1 Nasi a EUR 1.00)EUR20.00
1 Koe Loe Kai a 18.00 (1 Nasi a EUR 1.00)EUR19.00
1 Ossenhaas met oestersaus a 21.00EUR21.00
2 Dame blanche(ijs.choc.slagroom)EUR9.00
1 Cola a 3.25EUR3.25
2 Cola-max a 3.25EUR6.50
1 Sinas a 3.25EUR3.25
1 Seven-up a 3.25EUR3.25
2 ice thee met prik a 3.75EUR7.50
3 ijs a 4.00EUR12.00
\n\n============ +\nTotaal: EUR 144.25\n============\n\nBTW 9.0% EUR 11.91\n\nBedankt voor Uw bezoek\nRabobank NL29 0348178123\nKvk 39037611", "predicted": "\"Jade City\"
Baan 16 - 8256 AX
Biddinghuizen\n\nT.Nr: L7\n\n
1Gebraden magere spek met
pikante saus a 19.50
(1 Nasi a EUR 1.00)		EUR20.50
1Chinese bami a la \"Jade
City\" a 19.00		EUR19.00
1Babi pangang met pikante
saus a 19.00
(1 Nasi a EUR 1.00)		EUR20.00
1Koe Loe Kai a 18.00
(1 Nasi a EUR 1.00)		EUR19.00
1Ossenhaas met oestersaus
a 21.00		EUR21.00
2Dame
blanche(ijs.choc.slagroom)		EUR9.00
1Cola a 3.25EUR3.25
2Cola-max a 3.25EUR6.50
1Sinas a 3.25EUR3.25
1Seven-up a 3.25EUR3.25
2ice thee met prik a 3.75EUR7.50
3ijs a 4.00EUR12.00
=========== +
Totaal: EUR144.25
===========
\n\nBTW 9.0% EUR 11.91\n\nBedankt voor Uw bezoek
Rabobank NL29 0348178123
Kvk 39037611", "correct": false, "input_tokens": 1204, "output_tokens": 537, "elapsed_seconds": 8.313562124967575, "metadata": {"question": "Transcribe all text in this document exactly and completely, in reading order, preserving casing, punctuation, currency symbols, and codes. Use an HTML table only for genuinely tabular content, mirroring its rows, columns, and merged cells; write the HTML on single lines with no indentation or blank lines between tags, and collapse horizontal alignment to a single space. Transcribe only the main receipt in the foreground, and ignore the upside-down, semi-transparent receipt behind it.", "match_method": "similarity", "score": 0.7775, "attempts": 1, "retries": 0, "total_seconds": 8.3835}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 30, "image": "11b83a24-c9b8-4d9a-b4db-b73d396719cd_png.rf.358e9a65b048e920c8eacbd7b7fb1df6.jpg", "expected": "Something tells me that if they released their chat/tool/hyper-param templates which they use on their cloud service, there'd be a lot more love and acceptance. Why anyone is still using a llama.cpp wrapper anymore is the better question and beyond me.", "predicted": "Eric @Ex0byt \u00b7 1\u5c0f\u65f6\nSomething tells me that if they released their chat/tool/hyper-param templates which they use on their cloud service, there\u2019d be a lot more love and acceptance. Why anyone is still using a llama.cpp wrapper anymore is the better question and beyond me.\n40", "correct": false, "input_tokens": 1199, "output_tokens": 71, "elapsed_seconds": 3.729506832896732, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom, keeping each author's handle with their message, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the reply authored by Eric (@Ex0byt).", "match_method": "similarity", "score": 0.9161, "attempts": 1, "retries": 0, "total_seconds": 3.759}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 31, "image": "fc6e5e8d-4b33-4a20-a63a-96c0205ae8f6_png.rf.6cdeb04c221a85b1895ded05acdbfa1b.jpg", "expected": "When recorded return to:\nSTRIBLING LAW FIRM PO\n101 E MCINTOSH ST\nMILLEDGEVILLE GA 3106\n\nDoc ID: 001029530008 Type: GLR\nRecorded: 10/21/2013 at 04:07:30 PM\nPage 1 of 8\nBaldwin, Ga. Clerk Superior Court\nRosemary Phillips Clerk of Courts\nBK 1150 PG 483-490\n\nFILED & RECORDED\nCLERK, SUPERIOR COURT\nBALDWIN COUNTY, GA\n2013 OCT 21 PM 4: 07\nBY\nROSEMARY PHILLIPS, CLERK\n\nDeed To Secure Debt\n(With Future Advance Clause)\n\n1. Date and Parties. The date of this Deed to Secure Debt (Security Instrument) is OCTOBER 21, 2013\n. The parties and their addresses are:\n\nGrantor: THE BRACK FAMILY LIMITED\nPARTNERSHIP\n891 S JEFFERSON STREET SE\nMILLEDGEVILLE GA 31061\n\n\u2610 If checked, refer to the attached Addendum incorporated herein, for additional Grantors, their signatures\nand acknowledgments.\n\nGrantee: CENTURY BANK AND TRUST\n(\"Lender\") 141 S WAYNE ST\nMILLEDGEVILLE, GA 31061-5708\n\n2. Conveyance. For good and valuable consideration, the receipt and sufficiency of which is acknowledged,\nand to secure the Secured Debt (defined below) and Grantor\u2019s performance under this Security Instrument,\nGrantor irrevocably grants, bargains, transfers, conveys and sells to Lender, with power of sale, the\nfollowing described property:\n*SEE EXHIBIT 'A' ATTACHED HERETO AND INCORPORATED HEREIN BY REFERENCE.\n\nThe property is located in BALDWIN at\n(County)\n101 KINGS RD , MILLEDGEVILLE , Georgia 31061-0000\n(Address) (City) (ZIP Code)\nTogether with all rights, easements, appurtenances, royalties, mineral rights, oil and gas rights, all water and\nriparian rights, ditches, and water stock and all existing and future improvements, structures, fixtures, and\nreplacements that may now, or at any time in the future, be part of the real estate described above (all\nreferred to as \"Property\").\n\n3. Maximum Obligation Limit. The total principal amount secured by this Security Instrument at any one time\nshall not exceed $ UNLIMITED . This limitation of amount does not include\ninterest and other fees and charges validly made pursuant to this Security Instrument. Also, this limitation\ndoes not apply to advances made under the terms of this Security Instrument to protect Lender\u2019s security and\nto perform any of the covenants contained in this Security Instrument.\n\nReal Estate Security Instrument-Consumer-GA\nVMP\u00ae Bankers Systems\u2122\nWolters Kluwer Financial Services \u00a9 1994, 2011\n\nRE-DSD-GA 1/24/2011\nVMPC231(GA) (1101).00\nPage 1 of 6\n\nBB R# 189300", "predicted": "When recorded return to: 1\nSTRIBLING LAW FIRM PC 2 FILED & RECORDED\n101 E MCINTOSH ST CLERK, SUPERIOR COURT\nMILLEDGEVILLE GA 31061 BALDWIN COUNTY, GA\nDoc ID: 001029530008 Type: GLR\nRecorded: 10/21/2013 at 04:07:30 PM 2013 OCT 21 PM 4:07\nPage 1 of 8\nBaldwin, Ga. Clerk Superior Court\nRosemary Phillips Clerk of Courts BY Barbara Boyer\nBK 1150 PG 483-490 ROSEMARY PHILLIPS, CLERK\nDpy Clerk\n\nDeed To Secure Debt\n(With Future Advance Clause)\n\n1. Date and Parties. The date of this Deed to Secure Debt (Security Instrument) is OCTOBER 21, 2013\n. The parties and their addresses are:\n\nGrantor: THE BRACK FAMILY LIMITED\nPARTNERSHIP\n891 S JEFFERSON STREET SE\nMILLEDGEVILLE GA 31061\n\nIf checked, refer to the attached Addendum incorporated herein, for additional Grantors, their signatures\nand acknowledgments.\n\nGrantee: CENTURY BANK AND TRUST\n(\"Lender\") 141 S WAYNE ST\nMILLEDGEVILLE, GA 31061-5708\n\n2. Conveyance. For good and valuable consideration, the receipt and sufficiency of which is acknowledged,\nand to secure the Secured Debt (defined below) and Grantor's performance under this Security Instrument,\nGrantor irrevocably grants, bargains, transfers, conveys and sells to Lender, with power of sale, the\nfollowing described property:\n*SEE EXHIBIT 'A' ATTACHED HERETO AND INCORPORATED HEREIN BY REFERENCE.\n\nThe property is located in BALDWIN at\n(County)\n101 KINGS RD , MILLEDGEVILLE , Georgia 31061-0000\n(Address) (City) (ZIP Code)\nTogether with all rights, easements, appurtenances, royalties, mineral rights, oil and gas rights, all water and\nriparian rights, ditches, and water stock and all existing and future improvements, structures, fixtures, and\nreplacements that may now, or at any time in the future, be part of the real estate described above (all\nreferred to as \"Property\").\n\n3. Maximum Obligation Limit. The total principal amount secured by this Security Instrument at any one time\nshall not exceed $ UNLIMITED . This limitation of amount does not include\ninterest and other fees and charges validly made pursuant to this Security Instrument. Also, this limitation\ndoes not apply to advances made under the terms of this Security Instrument to protect Lender's security and\nto perform any of the covenants contained in this Security Instrument.\n\nReal Estate Security Instrument-Consumer-GA RE-DSD-GA 1/24/2011\nVMP\u00ae Bankers Systems\u2122 VMPC231(GA) (1101).00\nWolters Kluwer Financial Services \u00a9 1994, 2011 Page 1 of 6\n\nBB R# 189300", "correct": false, "input_tokens": 1168, "output_tokens": 699, "elapsed_seconds": 7.601848165970296, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.8877, "attempts": 1, "retries": 0, "total_seconds": 7.6294}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 32, "image": "c05c3288-ac14-47d6-8756-9ad484ae9696_png.rf.0ff67a7a39c5d5c7c9739988d851c032.jpg", "expected": "COST OF LIVING\n\nThe following figures are a general guide to essential monthly expenses for an expatriate executive living in Azerbaijan.\n\nMarried\nSingle couple with\nperson two children\n(US$) (US$)\n\nRent 800 3,000\nFood 300 1,200\nTransport 150 300\nUtilities 100 150\nEducation n. a. 1,000\nMiscellaneous 500 1,000\n\nTotal 1,850 6,650", "predicted": "COST OF LIVING\n\nThe following figures are a general guide to essential monthly expenses for an expatriate executive living in Azerbaijan.\n\nMarried\nSingle couple with\nperson two children\n(US$) (US$)\n\nRent 800 3,000\nFood 300 1,200\nTransport 150 300\nUtilities 100 150\nEducation n. a. 1,000\nMiscellaneous 500 1,000\n\nTotal 1,850 6,650", "correct": true, "input_tokens": 1164, "output_tokens": 127, "elapsed_seconds": 2.953558750101365, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 1.0, "attempts": 1, "retries": 0, "total_seconds": 2.9917}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 33, "image": "5327a38f-11a2-45f2-9a38-e1375dfbeb43_png.rf.b6a2243d098302d780056ad980a16a9c.jpg", "expected": "Probabilistic two-stage detection\n\ncosts of the second stage. Our second stage makes full use of years of progress in two-stage detection (Cai & Vasconcelos, 2018; Chen et al., 2019a) and yields a significant increase in detection accuracy over one-stage baselines. It also easily scales to large-vocabulary detection.\n\nExperiments on COCO (Lin et al., 2014), LVIS (Gupta et al., 2019), and Objects365 (Shao et al., 2019) demonstrate that our probabilistic two-stage framework boosts the accuracy of a strong CascadeRCNN model by 1-3 mAP, while also improving its speed. Using a standard ResNeXt-101-DCN backbone with a CenterNet (Zhou et al., 2019a) first stage, our detector achieves 50.2 mAP on COCO test-dev. With a strong Res2Net-101-DCN-BiFPN (Gao et al., 2019a; Tan et al., 2020b) backbone and self-training (Zoph et al., 2020), it achieves 56.4 mAP with single-scale testing, outperforming all published results. Using a small DLA-BiFPN backbone and lower input resolution, we achieve 49.2 mAP on COCO at 33 fps on a Titan Xp, outperforming the popular YOLOv4 model (43.5 mAP at 33 fps) on the same hardware. Code and models are release at https://github.com/xingyizhou/CenterNet2.\n\n2. Related Work\n\nOne-stage detectors jointly predict an output class and location of objects densely throughout the image. RetinaNet (Lin et al., 2017b) classifies a set of predefined sliding anchor boxes and handles the foreground-background imbalance by reweighting losses for each output. FCOS (Tian et al., 2019) and CenterNet (Zhou et al., 2019a) eliminate the need of multiple anchors per pixel and classify foreground/background by location. ATSS (Zhang et al., 2020b) and PAA (Kim & Lee, 2020) further improve FCOS by changing the definition of foreground and background. GFL (Li et al., 2020b) and Autoassign (Zhu et al., 2020a) change the hard foreground-background assignment to a weighted soft assignment. AlignDet (Chen et al., 2019c) uses a deformable convolution layer before the output to gather richer features for classification and regression. RepPoint (Yang et al., 2019) and DenseRepPoint (Yang et al., 2020) encode bounding boxes as the outline of a set of points and use the features of the point set for classification. BorderDet (Qiu et al., 2020) pools features along the bounding box for better localization. Most one-stage detectors have a sound probabilistic interpretation.\n\nWhile one-stage detectors have achieved competitive performance (Zhang et al., 2020b; Kim & Lee, 2020; Zhang et al., 2019; Li et al., 2020b; Zhu et al., 2020a), they usually rely on heavier separate classification and regression branches than two-stage models. In fact, they are no longer faster than their two-stage counterparts if the vocabulary (i.e., the set of object classes) is large (as in the LVIS or Objects365 datasets). Also, one-stage detectors only use the local features of the positive cell for regression and classification, which is sometimes misaligned with the object (Chen et al., 2019c; Song et al., 2020).\n\nOur probabilistic two-stage framework retains the probabilistic interpretation of one-stage detectors, but factorizes the probability distribution over multiple stages, improving both accuracy and speed.\n\nTwo-stage detectors first use a region proposal network (RPN) to generate coarse object proposals, and then use a dedicated per-region head to classify and refine them. Faster-RCNN (Ren et al., 2015; He et al., 2017) uses two fully-connected layers as the RoI heads. CascadeRCNN (Cai & Vasconcelos, 2018) uses three cascaded stages of Faster-RCNN, each with a different positive threshold so that the later stages focus more on localization accuracy. HTC (Chen et al., 2019a) utilizes additional instance and semantic segmentation annotations to enhance the inter-stage feature flow of CascadeRCNN. TSD (Song et al., 2020) decouples the classification and localization branches for each RoI.\n\nTwo-stage detectors are still more accurate in many settings (Gupta et al., 2019; Sun et al., 2020; Kuznetsova et al., 2018). Currently, all two-stage detectors use a relatively weak RPN that maximizes the recall of the top 1K proposals, and does not utilize the proposal score at test time. The large number of proposals slows the system down, and the recall-based proposal network does not directly offer the same clear probabilistic interpretation as one-stage detectors. Our framework addresses this, and integrates a strong class-agnostic single-stage object detector with later classification stages. Our first stage uses fewer, but higher quality, regions, yielding both faster inference and higher accuracy.\n\nOther detectors. A family of object detectors identify objects via points in the image. CornerNet (Law & Deng, 2018) detects the top-left and bottom-right corners and groups them using an embedding feature. ExtremeNet (Zhou et al., 2019b) detects four extreme points and groups them using an additional center point. Duan et al. (2019) detect the center point and use it to improve corner grouping. Corner Proposal Net (Duan et al., 2020) uses pairwise corner groupings as region proposals. CenterNet (Zhou et al., 2019a) detects the center point and regresses the bounding box parameters from it.\n\nDETR (Carion et al., 2020) and Deformable DETR (Zhu et al., 2020c) remove the dense output in a detector, and instead use a Transformer (Vaswani et al., 2017) that directly predicts a set of bounding boxes.\n\nThe major difference between point-based detectors, DETR, and conventional detectors lies in the network architecture. Point-based detectors use a fully-convolutional network (Newell et al., 2016; Yu et al., 2018), usually with symmetric downsampling and upsampling layers, and pro-", "predicted": "Probabilistic two-stage detection\n\ncosts of the second stage. Our second stage makes full use\nof years of progress in two-stage detection (Cai & Vascon-\ncelos, 2018; Chen et al., 2019a) and yields a significant\nincrease in detection accuracy over one-stage baselines. It\nalso easily scales to large-vocabulary detection.\n Experiments on COCO (Lin et al., 2014), LVIS (Gupta\net al., 2019), and Objects365 (Shao et al., 2019) demon-\nstrate that our probabilistic two-stage framework boosts the\naccuracy of a strong CascadeRCNN model by 1-3 mAP,\nwhile also improving its speed. Using a standard ResNeXt-\n101-DCN backbone with a CenterNet (Zhou et al., 2019a)\nfirst stage, our detector achieves 50.2 mAP on COCO test-\ndev. With a strong Res2Net-101-DCN-BiFPN (Gao et al.,\n2019a; Tan et al., 2020b) backbone and self-training (Zoph\net al., 2020), it achieves 56.4 mAP with single-scale testing,\noutperforming all published results. Using a small DLA-\nBiFPN backbone and lower input resolution, we achieve\n49.2 mAP on COCO at 33 fps on a Titan Xp, outperforming\nthe popular YOLOv4 model (43.5 mAP at 33 fps) on the\nsame hardware. Code and models are release at https:\n//github.com/xingyizhou/CenterNet2.\n\n2. Related Work\n\nOne-stage detectors jointly predict an output class and\nlocation of objects densely throughout the image. Reti-\nnaNet (Lin et al., 2017b) classifies a set of predefined sliding\nanchor boxes and handles the foreground-background im-\nbalance by reweighting losses for each output. FCOS (Tian\net al., 2019) and CenterNet (Zhou et al., 2019a) elimi-\nnate the need of multiple anchors per pixel and classify\nforeground/background by location. ATSS (Zhang et al.,\n2020b) and PAA (Kim & Lee, 2020) further improve FCOS\nby changing the definition of foreground and background.\nGFL (Li et al., 2020b) and Autoassign (Zhu et al., 2020a)\nchange the hard foreground-background assignment to a\nweighted soft assignment. AlignDet (Chen et al., 2019c)\nuses a deformable convolution layer before the output to\ngather richer features for classification and regression. Rep-\nPoint (Yang et al., 2019) and DenseRepPoint (Yang et al.,\n2020) encode bounding boxes as the outline of a set of\npoints and use the features of the point set for classification.\nBorderDet (Qiu et al., 2020) pools features along the bound-\ning box for better localization. Most one-stage detectors\nhave a sound probabilistic interpretation.\n While one-stage detectors have achieved competitive perfor-\nmance (Zhang et al., 2020b; Kim & Lee, 2020; Zhang et al.,\n2019; Li et al., 2020b; Zhu et al., 2020a), they usually rely\non heavier separate classification and regression branches\nthan two-stage models. In fact, they are no longer faster\nthan their two-stage counterparts if the vocabulary (i.e., the\nset of object classes) is large (as in the LVIS or Objects365\ndatasets). Also, one-stage detectors only use the local fea-\nture of the positive cell for regression and classification,\nwhich is sometimes misaligned with the object (Chen et al.,\n2019c; Song et al., 2020).\n Our probabilistic two-stage framework retains the proba-\nbilistic interpretation of one-stage detectors, but factorizes\nthe probability distribution over multiple stages, improving\nboth accuracy and speed.\nTwo-stage detectors first use a region proposal network\n(RPN) to generate coarse object proposals, and then use a\ndedicated per-region head to classify and refine them. Faster-\nRCNN (Ren et al., 2015; He et al., 2017) uses two fully-\nconnected layers as the RoI heads. CascadeRCNN (Cai &\nVasconcelos, 2018) uses three cascaded stages of Faster-\nRCNN, each with a different positive threshold so that the\nlater stages focus more on localization accuracy. HTC (Chen\net al., 2019a) utilizes additional instance and semantic seg-\nmentation annotations to enhance the inter-stage feature\nflow of CascadeRCNN. TSD (Song et al., 2020) decouples\nthe classification and localization branches for each RoI.\n Two-stage detectors are still more accurate in many set-\ntings (Gupta et al., 2019; Sun et al., 2020; Kuznetsova et al.,\n2018). Currently, all two-stage detectors use a relatively\nweak RPN that maximizes the recall of the top 1K propos-\nals, and does not utilize the proposal score at test time. The\nlarge number of proposals slows the system down, and the\nrecall-based proposal network does not directly offer the\nsame clear probabilistic interpretation as one-stage detec-\ntors. Our framework addresses this, and integrates a strong\nclass-agnostic single-stage object detector with later classi-\nfication stages. Our first stage uses fewer, but higher quality,\nregions, yielding both faster inference and higher accuracy.\nOther detectors. A family of object detectors iden-\ntify objects via points in the image. CornerNet (Law\n& Deng, 2018) detects the top-left and bottom-right cor-\nners and groups them using an embedding feature. Ex-\ntremeNet (Zhou et al., 2019b) detects four extreme points\nand groups them using an additional center point. Duan\net al. (2019) detect the center point and use it to improve\ncorner grouping. Corner Proposal Net (Duan et al., 2020)\nuses pairwise corner groupings as region proposals. Cen-\nterNet (Zhou et al., 2019a) detects the center point and\nregresses the bounding box parameters from it.\n DETR (Carion et al., 2020) and Deformable DETR (Zhu\net al., 2020c) remove the dense output in a detector, and\ninstead use a Transformer (Vaswani et al., 2017) that directly\npredicts a set of bounding boxes.\n The major difference between point-based detectors, DETR,\nand conventional detectors lies in the network architec-\nture. Point-based detectors use a fully-convolutional net-\nwork (Newell et al., 2016; Yu et al., 2018), usually with\nsymmetric downsampling and upsampling layers, and pro-", "correct": true, "input_tokens": 1156, "output_tokens": 1621, "elapsed_seconds": 18.35462387499865, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9791, "attempts": 1, "retries": 0, "total_seconds": 18.3929}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 34, "image": "f3701711-56c0-4e6d-94ad-edbe5931b13c_png.rf.0dfe995026d12d57bfa8621b501a51c9.jpg", "expected": "Table.10 Nutrient availability after harvesting of pigeon pea (pooled data of 3 years).\n\n
Tr.TreatmentsAvailable NAvailable PAvailable KDTPA-FeDTPA-ZnDTPA-CuDTPA-Mn
Kg ha-1mgkg-1
T1Absolute control (No Fertilizers)144.536.11535.003.350.411.114.60
T2RDF only (25:50:00 NPK/ha)147.517.21539.673.390.431.134.69
T3RDF+ 25 Kg K2O/ha148.427.57558.933.520.441.154.79
T4RDF+ 50 Kg K2O/ha154.517.71560.003.520.441.224.81
T5RDF+ 25 Kg K2O/ha+ Grade I micronutrient (soil application)154.697.59562.003.580.561.325.79
T6RDF+ 50Kg K2O/ha + Grade I micronutrient (soil application)157.918.16596.003.830.581.346.11
T7RDF+ 25 Kg K2O/ha + Grade II micronutrient (0.5 % foliar spray)155.407.90592.003.590.451.265.53
T8RDF+ 50 Kg K2O/ha + Grade II micronutrient (0.5 % foliar spray)157.058.12595.003.710.451.315.70
T9RDF+ 25 Kg K2O/ha + 2 % KNO3(foliar spray)148.677.60558.003.530.421.155.51
T10RDF+ 50 Kg K2O/ha + 2 % KNO3(foliar spray)152.517.77592.673.450.431.235.54
SEm (\u00b1)1.900.4111.300.020.020.010.32
CD at 5 %5.631.2733.540.060.030.97
Grand mean152.127.57568.933.540.081.225.31
\n\n13", "predicted": "Table.10 Nutrient availability after harvesting of pigeon pea (pooled data of 3 years).\n
Tr.TreatmentsAvailable
N		Available
P		Available
K		DTPA-
Fe		DTPA-
Zn		DTPA-
Cu		DTPA-
Mn
Kg ha-1mgkg-1
T1Absolute control (No Fertilizers)144.536.11535.003.350.411.114.60
T2RDF only (25:50:00 NPK/ha)147.517.21539.673.390.431.134.69
T3RDF+ 25 Kg K2O/ha148.427.57558.933.520.441.154.79
T4RDF+ 50 Kg K2O/ha154.517.71560.003.520.441.224.81
T5RDF+ 25 Kg K2O/ha+ Grade I micronutrient (soil
application)		154.697.59562.003.580.561.325.79
T6RDF+ 50Kg K2O/ha + Grade I micronutrient (soil
application)		157.918.16596.003.830.581.346.11
T7RDF+ 25 Kg K2O/ha + Grade II micronutrient (0.5 %
foliar spray)		155.407.90592.003.590.451.265.53
T8RDF+ 50 Kg K2O/ha + Grade II micronutrient (0.5 %
foliar spray)		157.058.12595.003.710.451.315.70
T9RDF+ 25 Kg K2O/ha + 2 % KNO3(foliar spray)148.677.60558.003.530.421.155.51
T10RDF+ 50 Kg K2O/ha + 2 % KNO3(foliar spray)152.517.77592.673.450.431.235.54
SEm (\u00b1)1.900.4111.300.020.020.010.32
CD at 5 %5.631.2733.540.060.030.97
Grand mean152.127.57568.933.540.081.225.31
\n\n13", "correct": true, "input_tokens": 1194, "output_tokens": 1064, "elapsed_seconds": 11.140342583996244, "metadata": {"question": "Transcribe all text in this document exactly and completely, in reading order, preserving casing, punctuation, currency symbols, and codes. Use an HTML table only for genuinely tabular content, mirroring its rows, columns, and merged cells; write the HTML on single lines with no indentation or blank lines between tags, and collapse horizontal alignment to a single space.", "match_method": "similarity", "score": 0.951, "attempts": 1, "retries": 0, "total_seconds": 11.1741}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 35, "image": "c81c96a7-296d-4050-827a-f89309f7a523_png.rf.28cfadfc50dc15c7a43434f17af3489f.jpg", "expected": "will i am \nPlumbing & Heating\n\nBusiness Address \n24 Godwin House \nLondon, E2 8PH\n\n07851 499 470\n\n020 7 686 8226\n\ninfo@will-i-am-pnh.co.uk\n\nInvoice to: \nOrkun Acikgoz \nFlat 3 Pedlers Apartments, 1C Hewison \nStreet E3 2HZ\n\nInvoice No: 17065 \nDate: 12th May 2025\n\nRef: Flat 3 Pedlers Apartments, 1C Hewison \nStreet E3 2HZ\n\n
DESCRIPTIONQTYUNIT PRICETOTAL PRICE
Carried out an investigation, fault diagnosis and attempt to repair a leak going downstairs after the shower was used on 12/05/25 (2 hours on site - please refer to email for a report)2\u00a3100.00\u00a3200.00
Materials - x1 white silicone, x1 PTFE1\u00a310.78\u00a310.78
\n\n
SUBTOTAL:\u00a3210.78
20.0% S:\u00a342.16
TOTAL:\u00a3252.94
PAID:\u00a30.00
BALANCE DUE:\u00a3252.94
\n\nBank details as follows: \nBANK \u2013 HSBC \nwill i am Plumbing & Heating Limited \nSORT CODE \u2013 40-01-18 \nACCOUNT NO. - 41837478\n\n\u00a3252.94 due on 12th May 2025\n\nThank You", "predicted": "will i am\nPlumbing & Heating\n\nBusiness Address\n24 Godwin House\nLondon, E2 8PH\n07851 499 470\n020 7 686 8226\ninfo@will-i-am-pnh.co.uk\n\nInvoice to:\nOrkun Acikgoz\nFlat 3 Pedlers Apartments, 1C Hewison\nStreet E3 2HZ\n\nInvoice No: 17065\nDate: 12th May 2025\nRef: Flat 3 Pedlers Apartments, 1C Hewison\nStreet E3 2HZ\n\n
DESCRIPTIONQTYUNIT PRICETOTAL
PRICE
Carried out an investigation, fault diagnosis and attempt to repair a
leak going downstairs after the shower was used on 12/05/25 (2
hours on site - please refer to email for a report)		2\u00a3100.00\u00a3200.00
Materials - x1 white silicone, x1 PTFE1\u00a310.78\u00a310.78
\n\nSUBTOTAL: \u00a3210.78\n20.0% S: \u00a342.16\nTOTAL: \u00a3252.94\nPAID: \u00a30.00\nBALANCE DUE: \u00a3252.94\n\nBank details as follows:\nBANK \u2013 HSBC\nwill i am Plumbing & Heating Limited\nSORT CODE \u2013 40-01-18\nACCOUNT NO. - 41837478\n\n\u00a3252.94 due on 12th May 2025\n\nThank You", "correct": false, "input_tokens": 1194, "output_tokens": 404, "elapsed_seconds": 10.676393833011389, "metadata": {"question": "Transcribe all text in this document exactly and completely, in reading order, preserving casing, punctuation, currency symbols, and codes. Use an HTML table only for genuinely tabular content, mirroring its rows, columns, and merged cells; write the HTML on single lines with no indentation or blank lines between tags, and collapse horizontal alignment to a single space.", "match_method": "similarity", "score": 0.8338, "attempts": 1, "retries": 0, "total_seconds": 10.7}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 36, "image": "b883e11d-433f-4c18-b0a5-11a0599a241b_png.rf.1efeebf4c96c16074b4f57edde37de47.jpg", "expected": "AUTORES\n\n01- ANA LUIZA BAPTISTA\n02- ANA MARA ALVES DE FREITAS\n03- AMANDA MACHADO AGUIAR\n04- ANDREA NICOLAU PASCHOAL\n05- CARLOS EDUARDO PEREIRA DE MELLO\n06- CRISTIANE HONDA\n07- DANIEL DELAZERI DE FARIA\n08- DIEGO VIEIRA DE SOUZA\n09- ILAN AKISABURO KIMURA\n10- MARIANA BOTELHO MENEGATTI\n11- MARINA PEINADO BERBERIAN\n12- MICHAEL MENDES\n13- RAFAEL DONIZETI SOUZA DE TOLEDO\n14- RAFAEL PADILLA\n15- RAFAEL SCHULIEN\n16- RENATA QUISSAK BARTELEGA PEIXOTO\n17- SILVIA RIBEIRO BROTTO\n18- THAIS NAGOSHI SUZUKI", "predicted": "AUTORES\n\n01- ANA LUIZA BAPTISTA\n02- ANA MARA ALVES DE FREITAS\n03- AMANDA MACHADO AGUIAR\n04- ANDREA NICOLAU PASCHOAL\n05- CARLOS EDUARDO PEREIRA DE MELLO\n06- CRISTIANE HONDA\n07- DANIEL DELAZERI DE FARIA\n08- DIEGO VIEIRA DE SOUZA\n09- ILAN AKISABURO KIMURA\n10- MARIANA BOTELHO MENEGATTI\n11- MARINA PEINADO BERBERIAN\n12- MICHAEL MENDES\n13- RAFAEL DONIZETI SOUZA DE TOLEDO\n14- RAFAEL PADILLA\n15- RAFAEL SCHULIEN\n16- RENATA QUISSAK BARTELEGA PEIXOTO\n17- SILVIA RIBEIRO BROTTO\n18- THAIS NAGOSHI SUZUKI", "correct": true, "input_tokens": 1176, "output_tokens": 214, "elapsed_seconds": 7.496413875021972, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 1.0, "attempts": 1, "retries": 0, "total_seconds": 7.5901}} diff --git a/results/ocr_gemini-4-argon_high_20261012_225050.jsonl b/results/ocr_gemini-4-argon_high_20261012_225050.jsonl new file mode 100644 index 0000000..782e103 --- /dev/null +++ b/results/ocr_gemini-4-argon_high_20261012_225050.jsonl @@ -0,0 +1,37 @@ +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 0, "image": "4f770728-7b1f-4bf3-b877-e3d33fcc135d_png.rf.dffcaaeb26fd7fe4fd14891cb00a0adf.jpg", "expected": "100 Good Cookies\n1 cup white sugar 1 teaspoon baking soda\n1 cup brown sugar 1 cup quick oatmeal\n1 cup margarine 1 cup coconut\n1 cup cooking oil 1 cup Rice Krispies\n1 egg 1 cup chopped walnuts\n1 teaspoon vanilla 3\u00bd cups flour\n1 teaspoon cream of tartar 1-12oz. package mini\nchocolate chips\nMix in order given. Drop by teaspoonful onto cookie sheet. Bake at 350\u00b0 for 8-10 minutes.\n(over)", "predicted": "100 Good Cookies\n1 cup white sugar 1 teaspoon baking soda\n1 cup brown sugar 1 cup quick oatmeal\n1 cup margarine 1 cup coconut\n1 cup cooking oil 1 cup Rice Krispies\n1 egg 1 cup chopped walnuts\n1 teaspoon vanilla 3\u00bd cups flour\n1 teaspoon cream of tartar 1-12oz. package mini\n chocolate chips\nMix in order given. Drop by teaspoonful onto\ncookie sheet. Bake at 350\u00b0 for 8-10 minutes.\n (over)", "correct": true, "input_tokens": 1163, "output_tokens": 1362, "elapsed_seconds": 45.303729915991426, "metadata": {"question": "Transcribe all handwritten and printed text exactly as written, reading top to bottom and left to right, and omit nothing; mark only genuinely unreadable words as [illegible]. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9922, "attempts": 1, "retries": 0, "total_seconds": 45.3321}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 1, "image": "0de03edc-15c5-4782-a74b-7cedb1df477b_png.rf.357da74f0ffbbb05467a6069097f2740.jpg", "expected": "(1) 8 + 7 = 15 (9) 17 - 9 = 8\n(2) 15 - 6 = 9 (10) 7 + 9 = 16\n(3) 9 + 4 = 13 (11) 14 - 8 = 6\n(4) 13 - 5 = 8 (12) 5 + 6 = 11\n(5) 6 + 8 = 14 (13) 16 - 7 = 9\n(6) 5 + 9 = 14 (14) 3 + 7 = 10", "predicted": "(1) 8 + 7 = 15 (9) 17 - 9 = 8\n(2) 15 - 6 = 9 (10) 7 + 9 = 16\n(3) 9 + 4 = 13 (11) 14 - 8 = 6\n(4) 13 - 5 = 8 (12) 5 + 6 = 11\n(5) 6 + 8 = 14 (13) 16 - 7 = 9\n(6) 5 + 9 = 14 (14) 3 + 7 = 10", "correct": true, "input_tokens": 1178, "output_tokens": 1075, "elapsed_seconds": 32.18608083296567, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 1.0, "attempts": 1, "retries": 0, "total_seconds": 32.201}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 2, "image": "861cb64d-800a-4635-999c-739199f8b473_png.rf.2dfcae9315498e5af9851962b9b1b65d.jpg", "expected": "2516 Country Club Rd.\nWinston Salem NC 27104\nJuly 17, 1981\n\nDr T S Osdene\nDirector of Research and Scientific Affairs\nPHILIP MORRIS USA\nResearch Center\nP.O Box 26583\nRichmond VA 23261\n\nDear Tom \u2014\n\nRe MDA NO/NOx Field Kit\n\nMDA requires prepayment before shipment\nof materials to private individuals. Accordingly\nI mailed check for $2505.00 for Kit yesterday.\nCopies for verification are enclosed. I presume\nthis will suffice to reimburse me.\n\nAs soon as MDA receives check, presumably\nJuly 20, Kit will be shipped to me by UPS and\nI will immediately trans ship by UPS to\nyou.\n\nCongrats on the birth of your son. Best wishes\nto Mrs Osdene and you.\n\n\u03a6000018736\n\nSincerely\nMurray", "predicted": "2516 Country Club Rd.\n Winston Salem NC 27104\n July 17, 1981\n\nDr T S Osdene\nDirector of Research and Scientific Affairs\nPHILIP MORRIS USA\nResearch Center\nP.O Box 26583\nRichmond VA 23261\n\nDear Tom -\n Re MDA NO/NOx Field Kit\n\n MDA requires prepayment before shipment\nof materials to private individuals. Accordingly\nI mailed check for $ 2505 00 for kit yesterday.\nCopies for verification are enclosed. I presume\nthis will suffice to reimburse me.\n As soon as MDA receives check, presumably\nJuly 20, kit will be shipped to me by UPS and\nI will immediately trans ship by UPS to\nyou.\n Congrats on the birth of your son. Best wishes\nto Mrs Osdene and you. 1000018736\n\n Sincerely\n Murray", "correct": true, "input_tokens": 1161, "output_tokens": 1798, "elapsed_seconds": 48.37515995895956, "metadata": {"question": "Transcribe all handwritten and printed text exactly as written, reading top to bottom and left to right, and omit nothing; mark only genuinely unreadable words as [illegible]. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9765, "attempts": 1, "retries": 0, "total_seconds": 48.3924}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 3, "image": "bfe2208e-9dcb-4273-9781-be20d0ae766a_png.rf.2506b1cf22374cc1de2823bf766ef968.jpg", "expected": "Ent 103326 Bk 331 Pg 470\nDate: 20-JUN-2006 2:28PM\nORDINANCE NO. CO-06-5 Fee: None\nFiled By: AKT\nBRENDA NELSON, Recorder\nMORGAN COUNTY\nAN ORDINANCE ADOPTING THE STATE WILDLIFE RESOURCES CODE\nFOR MORGAN COUNTY.\n\nWHEREAS, the Morgan County Sheriff's Office is charged with the enforcement of\nregulations and laws relating to wildlife resources within Morgan County; and\n\nWHEREAS, in the course of the Sheriff's enforcement duties it is often necessary to cite\nindividuals for violations of the various state rules regulating wildlife resources; and\n\nWHEREAS, Morgan County would like to cite violators for county ordinance violations\nrather than state code violations since violators are processed by county enforcement officers,\nprosecuted in county courts by county prosecutors, and incarcerated, if necessary, in county jails;\n\nNOW THEREFOR, the County Council of Morgan County, State of Utah, hereby\nordains as follows:\n\nWILDLIFE RESOURCES ORDINANCE\n\nSection 1. Adoption of the Utah wildlife resources Code, Rules and Regulations\n\nThe Rules and Regulations contained in Utah Code Annotated Title 23, as amended, and the\nRules promulgated thereunder, are hereby adopted as the wildlife resources Code, Rules and\nRegulations of Morgan County. Any provisions of Title 23 providing a penalty greater than a\nClass B misdemeanor, or not relating to criminal or administrative sanctions, are not incorporated\nas part of this ordinance.\n\nSection 2. Amendments\n\nIn order to assure continuing uniformity between the Utah wildlife resources Rules and\nRegulations and the Morgan County wildlife resources Rules and Regulations, this Ordinance\nwill include any and all periodic amendments to the State Rules and Regulations, Title 23, after\nthe effective date of this title, made by the Utah State Legislature or by the Utah Department of\nNatural Resources.\n\nSection 3. Effective Date\n\nThis ordinance shall take effect 15 days after passage, after required publication and after a copy\nof the ordinance is deposited with the Morgan County Clerk's Office.\n\nAPPROVED, ADOPTED, AND PASSED and ordered published by the Morgan County\nCouncil, this 6th day of June, 2006.", "predicted": "Ent 103326 Bk 231 Pg 470\nDate: 20-JUN-2006 2:28PM\nFee: None\nFiled By: AKT\nBRENDA NELSON, Recorder\nMORGAN COUNTY\nFor: MORGAN COUNTY\n\nORDINANCE NO. CO-06-5\n\nAN ORDINANCE ADOPTING THE STATE WILDLIFE RESOURCES CODE\nFOR MORGAN COUNTY.\n\n WHEREAS, the Morgan County Sheriff's Office is charged with the enforcement of\nregulations and laws relating to wildlife resources within Morgan County; and\n\n WHEREAS, in the course of the Sheriff's enforcement duties it is often necessary to cite\nindividuals for violations of the various state rules regulating wildlife resources; and\n\n WHEREAS, Morgan County would like to cite violators for county ordinance violations\nrather than state code violations since violators are processed by county enforcement officers,\nprosecuted in county courts by county prosecutors, and incarcerated, if necessary, in county jails;\n\n NOW THEREFOR, the County Council of Morgan County, State of Utah, hereby\nordains as follows:\n\nWILDLIFE RESOURCES ORDINANCE\n\nSection 1. Adoption of the Utah wildlife resources Code, Rules and Regulations\n\nThe Rules and Regulations contained in Utah Code Annotated Title 23, as amended, and the\nRules promulgated thereunder, are hereby adopted as the wildlife resources Code, Rules and\nRegulations of Morgan County. Any provisions of Title 23 providing a penalty greater than a\nClass B misdemeanor, or not relating to criminal or administrative sanctions, are not incorporated\nas part of this ordinance.\n\nSection 2. Amendments\n\nIn order to assure continuing uniformity between the Utah wildlife resources Rules and\nRegulations and the Morgan County wildlife resources Rules and Regulations, this Ordinance\nwill include any and all periodic amendments to the State Rules and Regulations, Title 23, after\nthe effective date of this title, made by the Utah State Legislature or by the Utah Department of\nNatural Resources.\n\nSection 3. Effective Date\n\nThis ordinance shall take effect 15 days after passage, after required publication and after a copy\nof the ordinance is deposited with the Morgan County Clerk's Office.\n\n APPROVED, ADOPTED, AND PASSED and ordered published by the Morgan County\nCouncil, this 6th day of June , 2006.", "correct": true, "input_tokens": 1168, "output_tokens": 5638, "elapsed_seconds": 62.75568066700362, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.967, "attempts": 1, "retries": 0, "total_seconds": 62.7861}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 4, "image": "d6b410b8-2381-4e65-8113-2dbcca295990_png.rf.794671b291d105d363ebd6d8d93b3fc8.jpg", "expected": "THIS SENTENCE WAS WRITTEN BY SOMEONE WITH DYSGRAPHIA", "predicted": "THIS SENTENCE WAS WRITTEN BY SOM\n EONE WITH Dysgraphia", "correct": false, "input_tokens": 1181, "output_tokens": 1022, "elapsed_seconds": 18.233625667053275, "metadata": {"question": "Transcribe all handwritten and printed text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.7963, "attempts": 1, "retries": 0, "total_seconds": 18.2473}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 5, "image": "9c225ac4-3b44-42cf-a0dc-4a3984c5bac9_png.rf.1455a695dcdb15839a0deb51bf270c04.jpg", "expected": "When I built menugen ~1 year ago, I observed that the hardest part by far was not the code itself, it was the plethora of services you have to assemble like IKEA furniture to make it real, the DevOps: services, payments, auth, database, security, domain names, etc...\n\nI am really looking forward to a day where I could simply tell my agent: \"build menugen\" (referencing the post) and it would just work. The whole thing up to the deployed web page. The agent would have to browse a number of services, read the docs, get all the api keys, make everything work, debug it in dev, and deploy to prod. This is the actually hard part, not the code itself. Or rather, the better way to think about it is that the entire DevOps lifecycle has to become code, in addition to the necessary sensors/actuators of the CLIs/APIs with agent-native ergonomics. And there should be no need to visit web pages, click buttons, or anything like that for the human.\n\nIt's easy to state, it's now just barely technically possible and expected to work maybe, but it definitely requires from-scratch re-design, work and thought. Very exciting direction!", "predicted": "Andrej Karpathy\n@karpathy\n\nWhen I built menugen ~1 year ago, I observed that the hardest part by far\nwas not the code itself, it was the plethora of services you have to\nassemble like IKEA furniture to make it real, the DevOps: services,\npayments, auth, database, security, domain names, etc...\n\nI am really looking forward to a day where I could simply tell my agent:\n\"build menugen\" (referencing the post) and it would just work. The whole\nthing up to the deployed web page. The agent would have to browse a\nnumber of services, read the docs, get all the api keys, make everything\nwork, debug it in dev, and deploy to prod. This is the actually hard part,\nnot the code itself. Or rather, the better way to think about it is that the\nentire DevOps lifecycle has to become code, in addition to the necessary\nsensors/actuators of the CLIs/APIs with agent-native ergonomics. And\nthere should be no need to visit web pages, click buttons, or anything\nlike that for the human.\n\nIt's easy to state, it's now just barely technically possible and expected\nto work maybe, but it definitely requires from-scratch re-design, work\nand thought. Very exciting direction!", "correct": true, "input_tokens": 1173, "output_tokens": 2629, "elapsed_seconds": 33.754357957979664, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom, keeping each author's handle with their message, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the top-level tweet authored by Andrej Karpathy (@karpathy).", "match_method": "similarity", "score": 0.9646, "attempts": 1, "retries": 0, "total_seconds": 33.7686}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 6, "image": "9fdae0ac-7d89-45f1-b628-bcdbac72c185_png.rf.7b62d1c22ac071a0003f46d2feaae5e5.jpg", "expected": "```javascript\nconst BROWSER_APP_NAMES = new Set([\n \"google chrome\",\n \"google chrome canary\",\n \"chromium\",\n \"microsoft edge\",\n \"mozilla firefox\",\n \"firefox\",\n \"opera\",\n \"brave browser\",\n \"vivaldi\",\n \"arc\",\n]);\n```", "predicted": "```javascript\nconst BROWSER_APP_NAMES = new Set([\n \"google chrome\",\n \"google chrome canary\",\n \"chromium\",\n \"microsoft edge\",\n \"mozilla firefox\",\n \"firefox\",\n \"opera\",\n \"brave browser\",\n \"vivaldi\",\n \"arc\",\n]);\n```", "correct": false, "input_tokens": 1219, "output_tokens": 760, "elapsed_seconds": 15.110709459055215, "metadata": {"question": "Transcribe every piece of text in this screenshot exactly as written, in reading order, and omit nothing. Put source code inside fenced code blocks, preserving indentation, quotes, and casing exactly, and transcribe surrounding interface text as Markdown. Transcribe only the definition of the `BROWSER_APP_NAMES` constant shown in the code editor, and ignore all other code, the editor chrome, file tabs, sidebars, and the terminal.", "match_method": "similarity", "score": 0.9107, "attempts": 1, "retries": 0, "total_seconds": 15.1351}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 7, "image": "5cf55f37-8adb-4adb-9520-148340548028_png.rf.d09a7340877434f1cbdb25f1eccd4774.jpg", "expected": "TOM GREEN HANDYMAN\n5 Any Street, Any City, That Area Code\nTelephone: 0800 XXX XXX\n\nDate : 6/5/2016\nInvoice No : 0003521\nTax Registered No 123456\n\nMr and Mrs Fielding\nThis Address\nThis City\nThis Area Code\n\nTAX INVOICE\n\n
QuantityDescriptionUnit PriceCost
Upgrade to Bathroom
23.75Labour40.00950.00
50Nails and screws0.8040.00
1Paint and Plywood1000.001000.00
40Imported wall tiles14.00560.00
1Freight150.00150.00
1Sub-contractor : Tile-It228.00
Subtotal2928.00
Tax439.20
Total Due$3,367.20
\n\nPayment due by the 10th of the month following the date of invoice.\nPlease make payment into Bank Account No. 12 3456 789112 012\n\nInterest of 10% per year will be charged on late payments.\n\nCut here\n\nRemittance\n\nMr and Mrs Fielding\n\nTOM GREEN HANDYMAN\n5 Any Street\nAny City\nThat Area Code\n\nAmount Due $3,367.20\nAmount Paid ______", "predicted": "TOM GREEN HANDYMAN\n5 Any Street, Any City, That Area Code\nTelephone: 0800 XXX XXX\n\nDate : 6/5/2016 Invoice No : 0003521\n\nTax Registered No 123456\nMr and Mrs Fielding\nThis Address\nThis City\nThis Area Code\n\nT A X I N V O I C E\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
QuantityDescriptionUnit PriceCost
Upgrade to Bathroom
23.75Labour40.00950.00
50Nails and screws0.8040.00
1Paint and Plywood1000.001000.00
40Imported wall tiles14.00560.00
1Freight150.00150.00
1Sub-contractor : Tile-It228.00
Subtotal2928.00
Tax439.20
Total Due$3,367.20
\n\nPayment due by the 10th of the month following the date of invoice.\nPlease make payment into Bank Account No. 12 3456 789112 012\n\nInterest of 10% per year will be charged on late payments.\n\nCut here\nRemittance\nMr and Mrs Fielding\nTOM GREEN HANDYMAN\n5 Any Street Amount Due $3,367.20\nAny City\nThat Area Code Amount Paid ___________", "correct": false, "input_tokens": 1194, "output_tokens": 2797, "elapsed_seconds": 29.244144750060514, "metadata": {"question": "Transcribe all text in this document exactly and completely, in reading order, preserving casing, punctuation, currency symbols, and codes. Use an HTML table only for genuinely tabular content, mirroring its rows, columns, and merged cells; write the HTML on single lines with no indentation or blank lines between tags, and collapse horizontal alignment to a single space.", "match_method": "similarity", "score": 0.9213, "attempts": 1, "retries": 0, "total_seconds": 29.2576}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 8, "image": "1bce4a54-e6bc-4752-b48e-d9889895936a_png.rf.6f12b4139eeac41161f2fb59dad48237.jpg", "expected": "I run hermes handling whatsapp, email, cron jobs, building apps, outreaching customers, outbound and inbound calls \u2014 the whole thing. hasn't needed babysitting in weeks. if you're on the fence just try it. worst case you go back. but I don't think you will", "predicted": "Falcon @Falconve_ \u00b7 6\u5c0f\u65f6\nI run hermes handling whatsapp, email, cron jobs, building apps,\noutreaching customers, outbound and inbound calls \u2014 the whole thing.\nhasn't needed babysitting in weeks. if you're on the fence just try it. worst\ncase you go back. but I don't think you will", "correct": false, "input_tokens": 1159, "output_tokens": 1625, "elapsed_seconds": 26.080989458947442, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom, keeping each author's handle with their message, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the last (bottom-most) tweet in the thread by Falcon (@Falconve_).", "match_method": "similarity", "score": 0.9036, "attempts": 1, "retries": 0, "total_seconds": 26.1159}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 9, "image": "eb592312-33c0-41ff-91ec-6e87ad25f12e_png.rf.ad80ac2d57c33733bd20600e13e312f3.jpg", "expected": "(SAE09TR.72) A 13-year-old girl sustained an isolated midshaft left femoral fracture in a motor vehicle accident. The fracture was treated with a rigid, antegrade intramedullary nail placed through the piriformis fossa. The fracture healed uneventfully, as shown in Figure 46a; however, at 12 months postoperatively she now reports left hip pain. A current AP radiograph and MRI scan are shown in Figures 46b and 46c. What complication occurred in this patient? Review Topic\n\n1 Chondrolysis\n2 Ischemic necrosis of the femoral head\n3 Ischemic necrosis of the greater trochanter\n4 Femoral neck fracture\n5 Trochanteric overgrowth\n\nPREFERRED RESPONSE 2\n\nThe development of femoral head ischemic necrosis is the iatrogenically created complication in this skeletally immature patient. Placement of a rigid, antegrade intramedullary nail through the piriformis fossa is likely to damage the vascular supply to the femoral head as the vessels ascend the femoral neck on the way to the femoral head. The MRI scan reveals ischemic necrosis with early collapse of the femoral head. The joint space is preserved on the MRI scan, ruling out chondrolysis.\n\n(SAE08OS.196) An adult patient has had low-grade fevers, malaise, and joint pain for the past several days. Examination reveals an erythematous \"bulls eye\" rash over the right thigh (erythema migrans). What is the organism associated with this infection? Review Topic", "predicted": "(SAE09TR.72) A 13-year-old girl sustained an isolated midshaft left femoral fracture in a motor vehicle accident. The fracture was treated with a rigid, antegrade intramedullary nail placed through the piriformis fossa. The fracture healed uneventfully, as shown in Figure 46a; however, at 12 months postoperatively she now reports left hip pain. A current AP radiograph and MRI scan are shown in Figures 46b and 46c. What complication occurred in this patient? Review Topic\n\n*1* Chondrolysis \n*2* Ischemic necrosis of the femoral head \n*3* Ischemic necrosis of the greater trochanter \n*4* Femoral neck fracture \n*5* Trochanteric overgrowth \n\nPREFERRED RESPONSE 2\n\nThe development of femoral head ischemic necrosis is the iatrogenically created complication in this skeletally immature patient. Placement of a rigid, antegrade intramedullary nail through the piriformis fossa is likely to damage the vascular supply to the femoral head as the vessels ascend the femoral neck on the way to the femoral head. The MRI scan reveals ischemic necrosis with early collapse of the femoral head. The joint space is preserved on the MRI scan, ruling out chondrolysis.\n\n\n(SAE08OS.196) An adult patient has had low-grade fevers, malaise, and joint pain for the past several days. Examination reveals an erythematous \"bulls eye\" rash over the right thigh (erythema migrans). What is the organism associated with this infection? Review Topic", "correct": true, "input_tokens": 1169, "output_tokens": 1440, "elapsed_seconds": 19.23465762496926, "metadata": {"question": "Transcribe every piece of text in this image exactly as written, in reading order, preserving question and option numbering, and omit nothing. Write mathematical expressions in LaTeX and format the result as Markdown that mirrors the layout.", "match_method": "similarity", "score": 0.9923, "attempts": 1, "retries": 0, "total_seconds": 19.2694}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 10, "image": "c50bed4d-e825-46b7-ac5c-a84806fa0481_png.rf.dbad52cae24c6759d646ebb0ad6c30a3.jpg", "expected": "```python\nimport random\n\ndef roll_dice(n=2, sides=6):\n return [random.randint(1, sides) for _ in range(n)]\n\ndef magic_8ball():\n responses = [\n \"Yes\", \"No\", \"Maybe\", \"Ask again later\",\n \"Absolutely\", \"No way\", \"Signs point to yes\",\n \"Don't count on it\", \"Without a doubt\",\n ]\n return random.choice(responses)\n\nif __name__ == \"__main__\":\n print(f\"Rolling 2 dice: {roll_dice()}\")\n print(f\"Magic 8-Ball says: {magic_8ball()}\")\n print(f\"Your lucky number: {random.randint(1, 100)}\")\n```", "predicted": "```python\nimport random\n\ndef roll_dice(n=2, sides=6):\n return [random.randint(1, sides) for _ in range(n)]\n\ndef magic_8ball():\n responses = [\n \"Yes\", \"No\", \"Maybe\", \"Ask again later\",\n \"Absolutely\", \"No way\", \"Signs point to yes\",\n \"Don't count on it\", \"Without a doubt\",\n ]\n return random.choice(responses)\n\nif __name__ == \"__main__\":\n print(f\"Rolling 2 dice: {roll_dice()}\")\n print(f\"Magic 8-Ball says: {magic_8ball()}\")\n print(f\"Your lucky number: {random.randint(1, 100)}\")\n```", "correct": true, "input_tokens": 1171, "output_tokens": 1154, "elapsed_seconds": 45.06986620801035, "metadata": {"question": "Transcribe every piece of text in this screenshot exactly as written, in reading order, and omit nothing. Put source code inside fenced code blocks, preserving indentation, quotes, and casing exactly, and transcribe surrounding interface text as Markdown. Transcribe only the code shown in the editor pane, ignoring the editor chrome, file tabs, sidebars, and the line-number gutter.", "match_method": "similarity", "score": 1.0, "attempts": 1, "retries": 0, "total_seconds": 45.1864}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 11, "image": "d0980bab-2f15-4550-b3e6-813a2ad7e709_png.rf.4002baedf14c91e52686c70ec58fd7f0.jpg", "expected": "Example 3 (HW)\nEach of the numbers 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 is written\non a separate piece of paper. The 10 pieces of paper\nare then placed in a hat. If one piece of paper is\nselected at random from hat, estimate the probability\nthat:\n(i) the number written on piece of paper is an even\nnumber or greater than 6.\n(ii) the number written on piece of paper is less than 5\nor greater than 8.\n(iii) the number written on piece of paper is divisible by 4.\n(iv) the \" \" \" \" \" \" \" at least 7.\n(v) \" \" \" \" \" \" \" at most 3.", "predicted": "Example 3 (HW)\nEach of the numbers 1,2,3,4,5,6,7,8,9,10 is written\non a separate piece of paper. The 10 pieces of paper\nare then placed in a hat. If one piece of paper is\nselected at random from hat, estimate the probability\n that:\n(i) the number written on piece of paper is an even\n number or greater than 6.\n(ii) the number written on piece of paper is less than 5\n or greater than 8.\n(iii) the number written on piece of paper is divisible by 4.\n(iv) the \" \" \" \" \" \" \" at least 7.\n(v) \" \" \" \" \" \" \" \" at most 3.\nCS Scanned with CamScanner", "correct": false, "input_tokens": 1180, "output_tokens": 1671, "elapsed_seconds": 44.612425290979445, "metadata": {"question": "Transcribe all handwritten and printed text exactly as written, reading top to bottom and left to right, and omit nothing; mark only genuinely unreadable words as [illegible]. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9244, "attempts": 1, "retries": 0, "total_seconds": 44.6687}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 12, "image": "00099ca8-7388-4ccb-a9ae-0def0f38e1d4_png.rf.87454ebaa2a188c18aadac0664ef70f6.jpg", "expected": "I'm losing so much money every single second I dont spend in the states. Every day I wake up, I'm hyperventilating about the fact that I am irresponsibly putting my young family's future at great risk because I can't but help listen to my gut. I am filled with doubt every day", "predicted": "kache @yacineMTB \u00b7 9\u5c0f\u65f6\nI'm losing so much money every single second I dont spend in the states.\nEvery day I wake up, I'm hyperventilating about the fact that I am\nirresponsibly putting my young family's future at great risk because I can't\nbut help listen to my gut. I am filled with doubt every day\nstainlesssteelcockroach @stainle55446702 \u00b7 10\u5c0f\u65f6\n\u56de\u590d @yacineMTB\nYou would like it down south as well. Where engineers are honored as\nthe future.....\n40 1 248 2.5\u4e07", "correct": false, "input_tokens": 1188, "output_tokens": 1535, "elapsed_seconds": 34.34749829105567, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom, keeping each author's handle with their message, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the first tweet by kache (@yacineMTB).", "match_method": "similarity", "score": 0.5935, "attempts": 1, "retries": 0, "total_seconds": 34.3617}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 13, "image": "838b00ad-2a6d-4bc7-84a3-d3cb3e6fdfb8_png.rf.86b85c55a59bba487946e192adc78406.jpg", "expected": "The French Revolution began in 1789 in France and was caused by several political, social, and economic factors. One major cause was the inequality in the social structure known as the Estates System, where the clergy and nobility enjoyed privileges while the common people had to pay heavy taxes. Another cause was the financial crisis faced by the monarchy due to wars and extravagant spending by Louis XVI and the royal court.\n\nThe influence of Enlightenment thinkers also played a significant role. Philosophers like Jean-Jacques Rousseau and Voltaire promoted ideas of liberty, equality, and popular sovereignty. These ideas encouraged people to question the authority of the monarchy.\n\nThe revolution had major effects on French society and politics. The monarchy was abolished, and France eventually became a republic. The revolution led to the Reign of Terror, during which many people were executed. In the long term, the revolution spread the ideals of liberty, equality, and fraternity across Europe and influenced many future democratic movements.", "predicted": "The French Revolution began in 1789 in France and was caused by several political, social, and economic factors. One major cause was the\ninequality in the social structure known as the Estates System, where the clergy and nobility enjoyed privileges while the common people had\nto pay heavy taxes. Another cause was the financial crisis faced by the monarchy due to wars and extravagant spending by Louis XVI and the\nroyal court.\n\nThe influence of Enlightenment thinkers also played a significant role. Philosophers like Jean-Jacques Rousseau and Voltaire promoted ideas\nof liberty, equality, and popular sovereignty. These ideas encouraged people to question the authority of the monarchy.\n\nThe revolution had major effects on French society and politics. The monarchy was abolished, and France eventually became a republic. The\nrevolution led to the Reign of Terror, during which many people were executed. In the long term, the revolution spread the ideals of\nliberty, equality, and fraternity across Europe and influenced many future democratic movements.", "correct": true, "input_tokens": 1140, "output_tokens": 735, "elapsed_seconds": 9.23368504201062, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9943, "attempts": 1, "retries": 0, "total_seconds": 9.2445}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 14, "image": "efe6537c-b164-43c1-8a9b-a329c7b96ec1_png.rf.96d23b9a67c8c503dd57cc8ddb11363b.jpg", "expected": "Clinical Nurse Manager Sep 2012 \u2013 Jul 2014\nBarron Center \u2013 Portland, ME\nManaged nursing operations on a 26-bed skilled rehabilitation unit, ensuring effective clinical care delivery.\n\u2022 Supervised nursing staff performance and provided ongoing competency evaluations.\n\u2022 Developed individualized care plans in collaboration with physicians and rehabilitation teams.\n\u2022 Implemented policies and procedures to meet regulatory and accreditation requirements.\n\nRegistered Nurse, Medical-Surgical Unit (Float Pool) Jun 2012 \u2013 Sep 2012\nMercy Hospital \u2013 Portland, ME\nProvided direct patient care within medical-surgical units, ensuring safe and effective treatment delivery.\n\u2022 Performed comprehensive physical assessments and monitored patient progress.\n\u2022 Administered medications and documented interventions per hospital protocols.\n\u2022 Collaborated with multidisciplinary teams to coordinate and plan care.\n\nEDUCATION, CERTIFICATIONS & LICENSURE\n\nBachelor of Science in Nursing (BSN)\nWestern Governors University, Salt Lake City, UT | Graduated January 2019\n\nAssociate of Science in Nursing (ASN)\nCollege of Nursing and Health Professions, Lewiston, ME | Graduated May 2010\n\nCertifications & Licensure\n\u2022 Registered Nurse (RN License #R057634) \u2013 State of Maine\n\u2022 Basic Life Support (BLS) \u2013 Current through December 2027\n\u2022 Educated in: Accountable Care Organizations (ACOs), Patient-Driven Payment Model (PDPM)\n\u2022 Clinical Systems Proficiency: Cerner / PowerChart, EPIC, Quantum, PointClickCare\n\u2022 Utilization Review Tools: InterQual, NaviHealth, CarePort\n\u2022 Analytics & Administrative Systems: Salesforce, Tableau, Microsoft Excel & PowerPoint, ADP, SAP Concur\n\nSKILLS & ADDITIONAL INFORMATION\n\nTechnical Skills\n\u2022 Clinical Systems & EMRs: Cerner / PowerChart, EPIC, Quantum, PointClickCare\n\u2022 Utilization Management Tools: InterQual, NaviHealth, CarePort\n\u2022 Data & Analytics Platforms: Tableau, Salesforce\n\u2022 Productivity Software: Microsoft Office Suite (Excel, PowerPoint, Word, Outlook)\n\u2022 Administrative Systems: ADP, SAP Concur\n\u2022 Quality & Compliance Tools: Electronic Health Record Audit Systems, Core Measure Review PlatformDedicated and results-\ndriven Recruiter/Talent Acquisition Specialist.\n\nPersonal Strengths\n\u2022 Strong leadership and team mentorship abilities\n\u2022 Critical thinking and complex problem-solving\n\u2022 Effective interdisciplinary communication and collaboration\n\u2022 Process improvement and workflow optimization\n\u2022 Independent and solution-focused decision-making\n\u2022 High attention to detail and documentation accuracy\n\u2022 Adaptable to evolving healthcare technologies and remote environments\n\u2022 Empathetic approach to patient advocacy and care coordination\n\nReferences are available upon request", "predicted": "Clinical Nurse Manager Sep 2012 \u2013 Jul 2014\nBarron Center \u2013 Portland, ME\nManaged nursing operations on a 26-bed skilled rehabilitation unit, ensuring effective clinical care delivery.\n \u2022 Supervised nursing staff performance and provided ongoing competency evaluations.\n \u2022 Developed individualized care plans in collaboration with physicians and rehabilitation teams.\n \u2022 Implemented policies and procedures to meet regulatory and accreditation requirements.\n\nRegistered Nurse, Medical-Surgical Unit (Float Pool) Jun 2012 \u2013 Sep 2012\nMercy Hospital \u2013 Portland, ME\nProvided direct patient care within medical-surgical units, ensuring safe and effective treatment delivery.\n \u2022 Performed comprehensive physical assessments and monitored patient progress.\n \u2022 Administered medications and documented interventions per hospital protocols.\n \u2022 Collaborated with multidisciplinary teams to coordinate and plan care.\n\nEDUCATION, CERTIFICATIONS & LICENSURE\n\nBachelor of Science in Nursing (BSN)\nWestern Governors University, Salt Lake City, UT | Graduated January 2019\n\nAssociate of Science in Nursing (ASN)\nCollege of Nursing and Health Professions, Lewiston, ME | Graduated May 2010\n\nCertifications & Licensure\n \u2022 Registered Nurse (RN License #R057634) \u2013 State of Maine\n \u2022 Basic Life Support (BLS) \u2013 Current through December 2027\n \u2022 Educated in: Accountable Care Organizations (ACOs), Patient-Driven Payment Model (PDPM)\n \u2022 Clinical Systems Proficiency: Cerner / PowerChart, EPIC, Quantum, PointClickCare\n \u2022 Utilization Review Tools: InterQual, NaviHealth, CarePort\n \u2022 Analytics & Administrative Systems: Salesforce, Tableau, Microsoft Excel & PowerPoint, ADP, SAP Concur\n\nSKILLS & ADDITIONAL INFORMATION\n\nTechnical Skills\n \u2022 Clinical Systems & EMRs: Cerner / PowerChart, EPIC, Quantum, PointClickCare\n \u2022 Utilization Management Tools: InterQual, NaviHealth, CarePort\n \u2022 Data & Analytics Platforms: Tableau, Salesforce\n \u2022 Productivity Software: Microsoft Office Suite (Excel, PowerPoint, Word, Outlook)\n \u2022 Administrative Systems: ADP, SAP Concur\n \u2022 Quality & Compliance Tools: Electronic Health Record Audit Systems, Core Measure Review PlatformDedicated and results-\n driven Recruiter/Talent Acquisition Specialist.\n\nPersonal Strengths\n \u2022 Strong leadership and team mentorship abilities\n \u2022 Critical thinking and complex problem-solving\n \u2022 Effective interdisciplinary communication and collaboration\n \u2022 Process improvement and workflow optimization\n \u2022 Independent and solution-focused decision-making\n \u2022 High attention to detail and documentation accuracy\n \u2022 Adaptable to evolving healthcare technologies and remote environments\n \u2022 Empathetic approach to patient advocacy and care coordination\n\nReferences are available upon request", "correct": true, "input_tokens": 1178, "output_tokens": 2326, "elapsed_seconds": 34.23333462502342, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9901, "attempts": 1, "retries": 0, "total_seconds": 34.2531}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 15, "image": "e21e8de4-67cb-4b99-acaf-7c73dc28df9f_png.rf.c9c271f7c9fe67f7186ee45aebf42a40.jpg", "expected": "ACS PLUS\n\nADVERTISING COMMUNICATION SERVICES\n\nBloc 17 App 233 1003 Cit\u00e9 les Olympiades\n\nTEL 71 771 324 FAX 71 770 682\n\nCode TVA1243006M/A/M/000\n\nEmail: acs.info@topnet.tn\n\nDEVIS N\u00b0 89-24\n\nClient: IEEE\n\nCode TVA:\n\nAdresse:\n\nT\u00e9l: Fax:\n\nTunis le 12/04/24\n\nCCB : 03210119011500465159A BNA KHERREDINE PACHA\n\n
R\u00e9f\u00e9renceD\u00e9signationQuantit\u00e9P. U.T.V.A.P.H.T.
Rollup 2 x 0,851170.00019%170.000
Pins1201.40019%168.000
Affiche A4 120 g impression R/V301.00019%30.000
Total H.T.368.000
Remise
Total HT368.000
\n\n
Total T.V.A. 10%
Total T.V.A. 7%
Total T.V.A. 19%69.920
Total T.V.A. 29%
Timbre Fiscal1.000
Total T.T.C.438.920
\n\n,\n\nArr\u00eat\u00e9 le pr\u00e9sent devis \u00e0 la somme de:\n\nDIRECTION COMMERCIALE", "predicted": "ACS PLUS\nADVERTISING COMMUNICATION SERVICES\nBloc 17 App 233 1003 Cit\u00e9 les Olympiades\nTEL 71 771 324 FAX 71 770 682\nCode TVA1243006M/A/M/000\nEmail: acs.info@topnet.tn\n\nDEVIS N\u00b0 89-24\n\nClient: IEEE\nCode TVA:\nAdresse:\nT\u00e9l: Fax:\n\nTunis le 12/04/24\n\nCCB : 03210119011500465159A BNA KHERREDINE PACHA\n
R\u00e9f\u00e9renceD\u00e9signationQuantit\u00e9P. U.T.V.A.P.H.T.
Rollup 2 x 0,851170.00019%170.000
Pins1201.40019%168.000
Affiche A4 120 g impression R/V301.00019%30.000
\n
Total H.T.368.000
Remise
Total HT368.000
\n
Total T.V.A. 10%
Total T.V.A. 7%
Total T.V.A. 19%69.920
Total T.V.A. 29%
Timbre Fiscal1.000
Total T.T.C.438.920
\n,\nArr\u00eat\u00e9 le pr\u00e9sent devis \u00e0 la somme de:\n\nDIRECTION COMMERCIALE", "correct": false, "input_tokens": 1194, "output_tokens": 3389, "elapsed_seconds": 41.40200583299156, "metadata": {"question": "Transcribe all text in this document exactly and completely, in reading order, preserving casing, punctuation, currency symbols, and codes. Use an HTML table only for genuinely tabular content, mirroring its rows, columns, and merged cells; write the HTML on single lines with no indentation or blank lines between tags, and collapse horizontal alignment to a single space.", "match_method": "similarity", "score": 0.9191, "attempts": 1, "retries": 0, "total_seconds": 41.412}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 16, "image": "280f2634-897d-499e-9e0e-2426fb6ed193_png.rf.de84ffe2f1cd78e0c4f16f319320c449.jpg", "expected": "Deloitte.\n\nDeloitte Touche Tohmatsu\nIndia LLP\nPrestige Trade Tower, Level 19\n46, Palace Road, High Grounds\nBengaluru - 560 001\nKarnataka, India\n\nTel: +91 80 6188 6000\nFax: +91 80 6188 6011\nwww.deloitte.com\n\nStrictly Private and Confidential\n\nDate: 8 July, 2025\n\nFlipkart Internet Private Limited\nAlyssa Begonia and Clover,\nEmbassy Tech Village ORR,\nDevarabeesanahalli Village,\nVarthur Hobli, Bangalore - 560103, Karnataka\n\nKind Attention: Mr. Kamal Chopra\n\nDear Sir,\n\nRe: Indirect Tax Services \u2013 Engagement Letter\n\nWe thank you for giving an opportunity to Deloitte Touche Tohmatsu India LLP (\u201cDTTI LLP\u201d or \u201cService Provider\u201d) to assist FLIPKART INTERNET PRIVATE LIMITED (\u201cClient\u201d/\u201dFKN\u201d/\u201dCompany\u201d) in Indirect tax services (\u201cServices\u201d) for the benefit of the Client and the subsidiaries and/or Affiliates of the Client as specified in Annexure-2.\n\n(The identified subsidiaries and Affiliates in Annexure-2 together with the Client, are hereinafter collectively referred to as \u201cBeneficiary/(ies)\u201d). The Services will be provided in accordance with and subject to the provisions of this engagement letter (including any Work Orders/Statement of Work and Annexures 1, 2, 3, 4, 5 and 6 hereto) (\u201cEngagement Letter\u201d) and the Standard Tax Terms attached hereto (the Engagement Letter and Standard Tax Terms hereinafter are collectively referred to as collectively \u201cContract\u201d).\n\n1. BACKGROUND\n\n1.1 Flipkart Internet Private Limited is a company which owns the E-commerce portal \u201cFlipkart.com\u201d. It functions as a marketplace wherein various business entities can list their products in the website in return to a fee charged to use its portal.\n\n1.2 We further understand that the company receives revenue through payment gateway services, hosting services, advertisement services, etc and is also engaged in fulfilment services rendered to the sellers listed on the website.\n\n1.3 We would be glad to provide assistance, more specifically described in below paragraph(s).", "predicted": "Deloitte. Deloitte Touche Tohmatsu\nIndia LLP\nPrestige Trade Tower, Level 19\n46, Palace Road, High Grounds\nBengaluru - 560 001\nKarnataka, India\n\nTel: +91 80 6188 6000\nFax: +91 80 6188 6011\nwww.deloitte.com\n\nStrictly Private and Confidential\n\nDate: 8 July, 2025\n\nFlipkart Internet Private Limited\nAlyssa Begonia and Clover,\nEmbassy Tech Village ORR,\nDevarabeesanahalli Village,\nVarthur Hobli, Bangalore - 560103, Karnataka\n\nKind Attention: Mr. Kamal Chopra\n\nDear Sir,\nRe: Indirect Tax Services \u2013 Engagement Letter\n\nWe thank you for giving an opportunity to Deloitte Touche Tohmatsu India LLP (\u201cDTTI LLP\u201d or \u201cService\nProvider\u201d) to assist FLIPKART INTERNET PRIVATE LIMITED (\u201cClient\u201d/\u201dFKN\u201d/\u201dCompany\u201d) in Indirect tax\nservices (\u201cServices\u201d) for the benefit of the Client and the subsidiaries and/or Affiliates of the Client as\nspecified in Annexure-2.\n\n(The identified subsidiaries and Affiliates in Annexure-2 together with the Client, are hereinafter collectively\nreferred to as \u201cBeneficiary/(ies)\u201d). The Services will be provided in accordance with and subject to the\nprovisions of this engagement letter (including any Work Orders/Statement of Work and Annexures 1, 2, 3,\n4, 5 and 6 hereto) (\u201cEngagement Letter\u201d) and the Standard Tax Terms attached hereto (the Engagement\nLetter and Standard Tax Terms hereinafter are collectively referred to as collectively \u201cContract\u201d).\n\n1. BACKGROUND\n\n1.1 Flipkart Internet Private Limited is a company which owns the E-commerce portal \u201cFlipkart.com\u201d.\n It functions as a marketplace wherein various business entities can list their products in the website\n in return to a fee charged to use its portal.\n\n1.2 We further understand that the company receives revenue through payment gateway services,\n hosting services, advertisement services, etc and is also engaged in fulfilment services rendered to\n the sellers listed on the website.\n\n1.3 We would be glad to provide assistance, more specifically described in below paragraph(s).", "correct": true, "input_tokens": 1161, "output_tokens": 3572, "elapsed_seconds": 43.18786516704131, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9929, "attempts": 1, "retries": 0, "total_seconds": 43.2236}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 17, "image": "93441566-50c0-4bfb-9a31-437a2bc5e4f2_png.rf.cd5bf1f53754c220ec912b1c44ade759.jpg", "expected": "2\n3000\nCOUNTER +2000\nActivate:Main Once Per Turn You may add 1 card from your Life area to your hand: This Character gains +2000 power during this turn. Then, give this Character up to 2 rested DON!! cards.\nCHARACTER\nSanji\nStraw Hat Crew\nOP01-013", "predicted": "2 3000 \u6253\nSTRIKE\nCOUNTER +2000\nActivate:Main Once Per Turn You may add 1 card from\nyour Life area to your hand: This Character gains +2000\npower during this turn. Then, give this Character up to 2\nrested DON!! cards.\nCHARACTER\nSanji\nStraw Hat Crew OP01-013 R 1\n\u00a9E.O./S \u00a9E.O./S., T.A. BANDAI MADE IN JAPAN", "correct": false, "input_tokens": 1178, "output_tokens": 1267, "elapsed_seconds": 21.77508874994237, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.7954, "attempts": 1, "retries": 0, "total_seconds": 21.7909}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 18, "image": "2e43ea51-fc34-4d42-8b0f-66b2172d81f7_png.rf.345ac976ac43b542da24279e8683876b.jpg", "expected": "Q.5\n\nLet $L_1$ be the line of intersection of the planes given by the equations\n\n$$2x + 3y + z = 4 \\quad \\text{and} \\quad x + 2y + z = 5.$$\n\nLet $L_2$ be the line passing through the point $P(2, -1, 3)$ and parallel to $L_1$. Let $M$ denote the plane given by the equation\n\n$$2x + y - 2z = 6.$$\n\nSuppose that the line $L_2$ meets the plane $M$ at the point $Q$. Let $R$ be the foot of the perpendicular drawn from $P$ to the plane $M$ .\n\nThen which of the following statements is (are) TRUE?\n\n| | |\n|---|---|\n| (A) | The length of the line segment $PQ$ is $9\\sqrt{3}$ |\n| (B) | The length of the line segment $QR$ is $15$ |\n| (C) | The area of $\\triangle PQR$ is $\\dfrac{3}{2}\\sqrt{234}$ |\n| (D) | The acute angle between the line segments $PQ$ and $PR$ is $\\cos^{-1}\\left(\\dfrac{1}{2\\sqrt{3}}\\right)$ |\n\nAnswer: A, C\n\n3/9", "predicted": "**Q.5**\n\nLet $L_1$ be the line of intersection of the planes given by the equations\n\n$$2x + 3y + z = 4 \\text{ and } x + 2y + z = 5 .$$\n\nLet $L_2$ be the line passing through the point $P(2, -1, 3)$ and parallel to $L_1$. Let $M$ denote the plane given by the equation\n\n$$2x + y - 2z = 6 .$$\n\nSuppose that the line $L_2$ meets the plane $M$ at the point $Q$. Let $R$ be the foot of the perpendicular drawn from $P$ to the plane $M$ .\n\nThen which of the following statements is (are) TRUE?\n\n| | |\n| :--- | :--- |\n| (A) | The length of the line segment $PQ$ is $9\\sqrt{3}$ |\n| (B) | The length of the line segment $QR$ is $15$ |\n| (C) | The area of $\\Delta PQR$ is $\\frac{3}{2}\\sqrt{234}$ |\n| (D) | The acute angle between the line segments $PQ$ and $PR$ is $\\cos^{-1}\\left(\\frac{1}{2\\sqrt{3}}\\right)$ |\n\n**Answer: A, C**\n\n---\n
3/9
", "correct": false, "input_tokens": 1184, "output_tokens": 1423, "elapsed_seconds": 16.731442707940005, "metadata": {"question": "Transcribe every piece of text in this image exactly as written, in reading order, preserving question and option numbering, and omit nothing. Write mathematical expressions in LaTeX and format the result as Markdown that mirrors the layout.", "match_method": "similarity", "score": 0.9202, "attempts": 1, "retries": 0, "total_seconds": 16.7466}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 19, "image": "8b690a3e-b9cd-48e1-a323-981e43142145_png.rf.84216f941b59ba17963217ea5bea26e9.jpg", "expected": "Question 37:\nConsider a system with six I/O-bound processes and one CPU-bound process. Each I/O-bound process executes for 1 ms before blocking for a 12 ms I/O operation. The context-switch overhead is 0.1 ms.\nUsing Round-Robin scheduling:\na. Time quantum = 1 ms\nb. Time quantum = 6 ms\nFor each case:\n\u2022 Draw the execution timeline.\n\u2022 Determine the average waiting time of the CPU-bound process.\n\u2022 Explain how the choice of quantum affects waiting time.\n\nQuestion 38:\nConsider a system with twelve I/O-bound tasks and one CPU-bound task. Each I/O-bound task runs for 1 ms before performing an 8 ms I/O operation.\nUsing Round-Robin scheduling:\na. Time quantum = 1 ms\nb. Time quantum = 4 ms\nFor each case:\n\u2022 Show the sequence of process execution.\n\u2022 Determine the average number of processes in the ready queue.\n\u2022 Explain how the quantum affects queue length.\n\nQuestion 39:\nConsider a system with eight I/O-bound tasks and two CPU-bound tasks. Each I/O-bound task requests an I/O operation after every 2 ms of CPU execution. Each I/O operation requires 12 ms. Using Round-Robin scheduling:\na. Time quantum = 2 ms\nb. Time quantum = 8 ms\nDetermine:\n\u2022 CPU utilization.\n\u2022 I/O device utilization.\n\u2022 Periods when the I/O device is idle.", "predicted": "Question 37:\nConsider a system with six I/O-bound processes and one CPU-bound process. Each I/O-bound\nprocess executes for 1 ms before blocking for a 12 ms I/O operation. The context-switch\noverhead is 0.1 ms.\nUsing Round-Robin scheduling:\n a. Time quantum = 1 ms\n b. Time quantum = 6 ms\nFor each case:\n \u2022 Draw the execution timeline.\n \u2022 Determine the average waiting time of the CPU-bound process.\n \u2022 Explain how the choice of quantum affects waiting time.\n\nQuestion 38:\nConsider a system with twelve I/O-bound tasks and one CPU-bound task. Each I/O-bound task\nruns for 1 ms before performing an 8 ms I/O operation.\nUsing Round-Robin scheduling:\n a. Time quantum = 1 ms\n b. Time quantum = 4 ms\nFor each case:\n \u2022 Show the sequence of process execution.\n \u2022 Determine the average number of processes in the ready queue.\n \u2022 Explain how the quantum affects queue length.\n\nQuestion 39:\nConsider a system with eight I/O-bound tasks and two CPU-bound tasks. Each I/O-bound task\nrequests an I/O operation after every 2 ms of CPU execution. Each I/O operation requires 12\nms. Using Round-Robin scheduling:\n a. Time quantum = 2 ms\n b. Time quantum = 8 ms\nDetermine:\n \u2022 CPU utilization.\n \u2022 I/O device utilization.\n \u2022 Periods when the I/O device is idle.", "correct": false, "input_tokens": 1162, "output_tokens": 1229, "elapsed_seconds": 14.006408874993213, "metadata": {"question": "Transcribe every piece of text in this image exactly as written, in reading order, preserving question and option numbering, and omit nothing. Output as plain text but preserve the visual structure. Do not add any extra markdown styling.", "match_method": "similarity", "score": 0.9495, "attempts": 1, "retries": 0, "total_seconds": 14.0196}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 20, "image": "056e17c9-9b46-496a-9cf8-c1b54bd73216_png.rf.ad6da03e5299b085ff446174b8c6cc4b.jpg", "expected": "```python\nclass Snapshot(BaseModel):\n pageIndex: int = 1\n stateId: str # computed by extension\n interactive: List[InteractiveElement] = Field(default_factory=list)\n extracted: Optional[ExtractedCard] = None\n ts_ms: int\n```", "predicted": "```python\nclass Snapshot(BaseModel):\n pageIndex: int = 1\n stateId: str # computed by extension\n interactive: List[InteractiveElement] = Field(default_factory=list)\n extracted: Optional[ExtractedCard] = None\n ts_ms: int\n```", "correct": true, "input_tokens": 1200, "output_tokens": 1531, "elapsed_seconds": 25.032698667026125, "metadata": {"question": "Transcribe every piece of text in this screenshot exactly as written, in reading order, and omit nothing. Put source code inside fenced code blocks, preserving indentation, quotes, and casing exactly, and transcribe surrounding interface text as Markdown. Transcribe only the complete definition of the `Snapshot` class exactly as it appears in the code editor, including the class line and all its fields, and ignore all other code, editor chrome, file tabs, sidebars, and the terminal.", "match_method": "similarity", "score": 1.0, "attempts": 1, "retries": 0, "total_seconds": 25.073}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 21, "image": "0f7a1b1b-b0f9-4dba-9659-0455701b7a3f_png.rf.a006d974af16d067a2ee124fe9e15f3f.jpg", "expected": "Department of Computer Science and Engineering\nFaculty of Technology & Engineering\nThe M. S. University of Baroda, Vadodara\nS.S BE IV CSE (______)\n\nINDUSTRY PROJECT EVALUATION FORM\n\nName of the Student : Raval Sumit Bharatbhai\nName of Project Guide : Sukhvala Prit Hasmukhbhai\nTitle / Designation : Jr. Salesforce Developer\nEmail of Project Guide : sukhvalaps@gmail.com\nAddress of the Organization : Dev Arcade, U3, Eru Char Rasta, Vejalpore, Jalalpore, Eroo, Navsari, Gujarat-396450\nContact No. : 98751 62607\n\n(Indicate your choice by tick a (\u2713) mark):\n\nHighest-----------------------------------------------------------------Lowest\n\n
Attributes of ObservancePO54321
1Punctuality/ RegularityPO8\u2713
2Sincerity in LearningPO12\u2713
3Enthusiasm to use new technological toolsPO5\u2713
4Team Spirit: Relationship with Team MembersPO9\u2713
5Technical/Programming SkillsPO1\u2713
6Societal Impact of ProjectPO7\u2713
7InnovationPO1,PO5\u2713
8Knowledge of Algorithm OptimizationPO1,PO4\u2713
9Problem Solving AbilityPO2\u2713
10Project Management/Leadership Skills: Taking responsibilitiesPO11\u2713
11Communication SkillsPO10\u2713
12Implementing InstructionsPO3\u2713
13Achievement of DeadlinesPO11\u2713
14Follows Sustainable Development practices in day to day work and project workPO6\u2713
15Overall Performance, Behavior and AttitudePO8\u2713
\n\nPage 1 of 2", "predicted": "Department of Computer Science and Engineering\nFaculty of Technology & Engineering\nThe M. S. University of Baroda, Vadodara\nS.S BE IV CSE ( )\n\nINDUSTRY PROJECT EVALUATION FORM\n\nName of the Student : Raval Sumit Bharatbhai\nName of Project Guide : Sakhvala Prit Hasmukhbhai\nTitle / Designation : Jr. Salesforce Developer\nEmail of Project Guide : sakhvalaps@gmail.com\nAddress of the Organization : Dev Arcade, U3, Eru Char Rasta, Vejalpore, Jalapore, Eroo, Navsari, Gujarat-396450\nContact No. : 98751 62607\n\n(Indicate your choice by tick a (\u221a) mark):\n\nHighest-------------------------------------------------------Lowest\n\n
Attributes of ObservancePO54321
1Punctuality/ RegularityPO8\u2713
2Sincerity in LearningPO12\u2713
3Enthusiasm to use new technological toolsPO5\u2713
4Team Spirit: Relationship with Team MembersPO9\u2713
5Technical/Programming SkillsPO1\u2713
6Societal Impact of ProjectPO7\u2713
7InnovationPO1,PO5\u2713
8Knowledge of Algorithm OptimizationPO1,PO4\u2713
9Problem Solving AbilityPO2\u2713
10Project Management/Leadership Skills: Taking responsibilitiesPO11\u2713
11Communication SkillsPO10\u2713
12Implementing InstructionsPO3\u2713
13Achievement of DeadlinesPO11\u2713
14Follows Sustainable Development practices in day to day work and project workPO6\u2713
15Overall Performance, Behavior and AttitudePO8\u2713
\n\nPage 1 of 2", "correct": true, "input_tokens": 1166, "output_tokens": 1733, "elapsed_seconds": 23.806218125042506, "metadata": {"question": "Transcribe all text in this document exactly and completely, in reading order, preserving casing, punctuation, currency symbols, and codes. Use an HTML table only for genuinely tabular content, mirroring its rows, columns, and merged cells; write the HTML on single lines with no indentation or blank lines between tags, and collapse horizontal alignment to a single space.", "match_method": "similarity", "score": 0.9809, "attempts": 1, "retries": 0, "total_seconds": 23.8216}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 22, "image": "4f216ea0-af67-40e1-a226-2884e051db56_png.rf.b2fadeee17b3985c08325bec449bfd27.jpg", "expected": "NANAVATI\nMAX Super Speciality Hospital\n\n28/11/25\n\nTo\n\nWHOM SO EVER IT MAY CONCERNS\n\nMrs. Tanvi Mehta, 33/F, K/c/o CKD Stage 5 is planned for Live related kidney transplant on 2/12/2025. Post op patient is given immunosuppressants so require Isolation / Single room for infection prevention.\n\nSo kindly consider the same.\n\nFor Dr. Jalin Kotuan.\n\nDr. Balabhai Nanavati Hospital (Charitable) \nS.V. Road, Vile Parle (W), Mumbai - 400 056 \nTel.: +91-22-6134 7500 \nManaged by Max Hospitals and Allied services Limited\n\nwww.nanavatimaxhospital.org", "predicted": "NANAVATI\nMAX Super Speciality 28/11/25\nHospital\nTo\n WHOM SO EVER IT MAY CONCERNS\n Mrs. Tanvi Mehta, 33/F, K/c/o CKD stage 5\nis planned for Live related kidney transplant\non 2/12/2025. Post op patient is given\nimmunosuppressants so recquire Isolation/\nSingle room for infection prevention.\n So kindly consider the same.\nDR. BALABHAI NANAVATI HOSPITAL\n For Dr. Jatin Kothari.\nDr. Balabhai Nanavati Hospital (Charitable)\nS.V. Road, Vile Parle (W), Mumbai - 400 056\nTel.: +91-22-6134 7500\nManaged by Max Hospitals and Allied services Limited\nwww.nanavatimaxhospital.org", "correct": false, "input_tokens": 1140, "output_tokens": 1845, "elapsed_seconds": 23.942137209000066, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.885, "attempts": 1, "retries": 0, "total_seconds": 24.0011}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 23, "image": "058e2b7c-372e-4d28-8921-9686341124d1_png.rf.17dd3d796974c2aef56049a1e6edcee8.jpg", "expected": "Sir Ganga Ram Hospital\nSir Ganga Ram Hospital Marg, Rajinder Nagar,\nNew Delhi-110060, INDIA Tel : +91-11-4225 4000\n\nMedical Superintendent (Offg.)\nSir Ganga Ram Kolmet Hospital, 7-B, Pusa Road,\nNew Delhi-110005. Tel : +91-11-45099999, (D) 45099980\n\nDr. Raj Kamal Agarwal\nSr. Consultant\nDeptt. of Anaesthesiology\nPain & Peri Operative Medicine\nMobile : +91 98101 52201\nE-mail : kamalagarwal300@gmail.com\n\nTO WHOM IT MAY CONCERN\n\nAs per ICMR guideline, the contacts of COVID +ve cases should be put on HOME ISOLATION even with Mild Symptoms\n\nIt is advised that everybody takes these preventive medication apart from following SOCIAL DISTANCING, HAND HYGIENE & WEARING MASK\n\nRx\n\u2022 TAB HYDROXY CHLOROQUINE 400mg once a week\n\u2022 TAB VITAMIN C one gram once a day\n\u2022 TAB ZINC 50 mg once a day\n\nIn case of fever\n\n* \u2022 TAB CROCIN/CALPOL 650 mg SOS\n\nIn case of throat pain & cough\n\n* \u2022 TAB CETRIZINE 10mg once a day.\n\u2022 SYRUP ALEX 2/3 Tea spoon 3 times a day.\n\nDr. RAJ KAMAL AGARWAL\nMBBS, DA\nDMC No. 14517\nSENIOR CONSULTANT\nDEPTT. OF ANAESTHSIOLOGY\nPERIOPERATIVE MEDICINE & PAIN\nSIR GANGARAM HOSPITAL\nRAJINDER NAGAR, NEW DELHI-110060\nPh.9810152201\n\nResidence :\n181, Royalton Tower, Princeton Estate, DLF Phase-V, Gurugram, Haryana", "predicted": "Sir Ganga Ram Hospital\nSir Ganga Ram Hospital Marg, Rajinder Nagar,\nNew Delhi-110060, INDIA Tel : +91-11-4225 4000\nMedical Superintendent (Offg.)\nSir Ganga Ram Kolmet Hospital, 7-B, Pusa Road,\nNew Delhi-110005. Tel : +91-11-45099999, (D) 45099980\n\nDr. Raj Kamal Agarwal\nSr. Consultant\nDeptt. of Anaesthesiology\nPain & Peri Operative Medicine\nMobile : +91 98101 52201\nE-mail : kamalagarwal300@gmail.com\n\n TO WHOM IT MAY CONCERN\n\n As per ICMR guideline, the contacts of\nCOVID +ve cases should be put on HOME\nISOLATION even with Mild Symptoms\n It is advised that everybody takes these\npreventive medication apart from following\nSOCIAL DISTANCING, HAND HYGIENE & WEARING\nMASK\n Rx\n \u2022 TAB HYDROXY CHLOROQUINE 400mg once a week\n \u2022 TAB VITAMIN C one gram once a day\n \u2022 TAB ZINC 50 mg once a day\n In case of fever\n * \u2022 TAB CROCIN / CALPOL 650 mg SOS\n In case of throat pain & cough\n * \u2022 TAB CETRIZINE 10 mg once a day.\n \u2022 SYRUP ALEX 2/3 tea spoon 3 times a day.\n\n [illegible]\n DR. RAJ KAMAL AGARWAL\n MBBS, DA\n DMC No. 4537\n SENIOR CONSULTANT\n DEPTT. OF ANAESTHSIOLOGY\n PERIOPERATIVE MEDICINE & PAIN\n SIR GANGARAM HOSPITAL\n RAJINDER NAGAR, NEW DELHI-110060\n PH: 9810152201\n\n Residence :\n 181, Royalton Tower, Princeton Estate, DLF Phase-V, Gurugram, Haryana-122002", "correct": true, "input_tokens": 1152, "output_tokens": 4818, "elapsed_seconds": 54.526232249918394, "metadata": {"question": "Transcribe all handwritten and printed text exactly as written, reading top to bottom and left to right, and omit nothing; mark only genuinely unreadable words as [illegible]. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.953, "attempts": 1, "retries": 0, "total_seconds": 54.6072}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 24, "image": "1b4e5426-d109-4398-8e45-ab1dc497980f_png.rf.bded2a0f08d8a00ca919034e8f04cf48.jpg", "expected": "Lesson \n1.1\n\nReading (Recognizing Uppercase and Lowercase Letters)\n\nActivity\n\nCircle the matching lowercase letter in each row. The first one has been completed.\n\n| | | | | |\n|---|---|---|---|---|\n| A | c | (a) | e | h |\n| B | v | n | (b) | l |\n| C | a | w | e | (c) |\n| D | (d) | l | t | i |\n| E | b | m | x | (e) |\n| F | e | o | (f) | p |\n| G | h | (g) | r | s |\n| H | v | a | (h) | r |\n| I | c | a | (i) | p |\n| J | t | y | o | (j) |\n| K | (k) | x | d | u |\n| L | o | (l) | a | t |\n| M | b | (m) | n | w |", "predicted": "Lesson\n1.1\n\n# Reading (Recognizing Uppercase and Lowercase Letters)\n\n## Activity\n\n**Circle the matching lowercase letter in each row. The first one has been completed.**\n\n| | | | | |\n| :---: | :---: | :---: | :---: | :---: |\n| A | c | a | e | h |\n| B | v | n | b | l |\n| C | a | w | e | c |\n| D | d | l | t | i |\n| E | b | m | x | e |\n| F | e | o | f | p |\n| G | h | g | r | s |\n| H | v | a | h | r |\n| I | c | a | i | p |\n| J | t | y | o | j |\n| K | k | x | d | u |\n| L | o | l | a | t |\n| M | b | m | n | w |\n\nTabsera", "correct": false, "input_tokens": 1190, "output_tokens": 931, "elapsed_seconds": 30.21715712500736, "metadata": {"question": "Transcribe every piece of text in this image exactly as written, in reading order, preserving question and option numbering, and omit nothing. Write mathematical expressions in LaTeX and format the result as Markdown that mirrors the layout. Ignore the vertical text printed sideways along the page margin.", "match_method": "similarity", "score": 0.8651, "attempts": 1, "retries": 0, "total_seconds": 30.2536}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 25, "image": "9e81338a-33bb-479d-939a-0df376f0a972_png.rf.917d36705351e18951147dc224677339.jpg", "expected": "yes exactly! a bit like i'm being manipulated in some creepy way. \"please like me, look how much i know about you, we are good friends\".", "predicted": "Andrej Karpathy @karpathy \u00b7 1\u5c0f\u65f6\nyes exactly! a bit like i'm being manipulated in some creepy way. \"please like\nme, look how much i know about you, we are good friends\".\n4 2 105 4,300", "correct": false, "input_tokens": 1184, "output_tokens": 1184, "elapsed_seconds": 17.325356959016062, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom, keeping each author's handle with their message, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the last (bottom-most) tweet authored by Andrej Karpathy (@karpathy).", "match_method": "similarity", "score": 0.7418, "attempts": 1, "retries": 0, "total_seconds": 17.3614}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 26, "image": "e6e06b1b-da53-41ac-bfdf-9316443ff037_png.rf.39688157a0a030c060170f7400170d30.jpg", "expected": "31/3/24 AI OCR Tools\n\nQuite unusually for me, this essay started its life as a scribble in a notebook rather than something I typed into a markdown editor. A few weeks ago Tiago Forte made a short video suggesting that people can use GPT4-V to capture their hand-written notes digitally. I've been looking for a \"smart\" OCR tool that can process my terribly scratchy, spidery hand writing for many years and none have quite cut the mustard. But, I thought, why not give it a go. To my absolute surprise, GPT did a phenomenal job of parsing my scrawlings and spitting out text. I was seriously impressed. Handwriting OCR has now gone from a fun toy and conversation piece to something I can actually, seriously use in my workflow. So then, is GPT via ChatGPT the best option I've got for this task or are there any FOSS tools and models that I could use instead?\n\nThe Closest option: CRAFT-TROCR\n\nI played with this a couple of years ago and it was reasonably good at certain content but only if I write in my very best hand writing all the time. And I don't do that because when I am taking notes in a meeting or something, I am thinking about the meeting, not my hand writing.\n\nHow does CRAFT-TROCR work? Are there any major differences? I'm guessing a big transformer model is able to maximise probability globally across the image + the generated text.\n\n68", "predicted": "31/3/24 AI OCR Tools\n\nQuite unusually for me, this essay started its life\nas a scribble in a notebook rather than something\nI typed into a markdown editor. A few weeks ago\nTiago Forte made a short video suggesting that\npeople can use GPT4-V to capture their hand-written\nnotes digitaly. I've been looking for a \"smart\"\nOCR tool that can process my terribly scratchy,\nspidery hand writing for many years and none have\nquite cut the mustard. But, I thought, why not\ngive it a go. To my absolute surprise, GPT did\na phenomenal job of parsing my scrawlings and\nspitting out text. I was seriously impressed.\nHandwriting OCR has now gone from a fun toy\nand conversation piece to something I can actually, seriously\nuse in my workflow. So then, is GPT via ChatGPT\nthe best option I've got for this task or are\nthere any FOSS tools and models that I could\nuse instead?\n\nThe Classic option: CRAFT-TROCR\n\nI played with this a couple of years ago and\nit was reasonably good at certain content but only\nif I write in my very best hand writing all the time.\nAnd I don't do that because when I am taking\nnotes in a meeting or something, I am thinking about\nthe meeting, not my hand writing.\n\nHow does CRAFT-TROCR work? Are there any major\ndifferences? I'm guessing a big transformer model\nis able to maximise probability globally across the\nimage + the generated text.\n\n68", "correct": true, "input_tokens": 1210, "output_tokens": 2795, "elapsed_seconds": 55.11359054094646, "metadata": {"question": "Transcribe all handwritten and printed text exactly as written, reading top to bottom and left to right, and omit nothing; mark only genuinely unreadable words as [illegible]. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the text on the left page of the notebook, ignoring the partially visible right page.", "match_method": "similarity", "score": 0.9779, "attempts": 1, "retries": 0, "total_seconds": 55.1619}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 27, "image": "d1d7aaf7-169c-4847-866d-61bc0a6784b4_png.rf.47c7117d83bf6448f821dbc28e0e6255.jpg", "expected": "R\u00c9PUBLIQUE FRAN\u00c7AISE\nCARTE NATIONALE D'IDENTIT\u00c9 / IDENTITY CARD\n\nNOM / Surname \nMARTIN\n\nPr\u00e9noms / Given names \nMa\u00eblys Ga\u00eblle, Marie\n\nSEXE / Sex\nF\n\nNATIONALIT\u00c9 / Nationality\nFRA\n\nDATE DE NAISS. / Date of birth \n13 07 1990\n\nLIEU DE NAISSANCE / Place of birth \nPARIS\n\nNOM D'USAGE / Alternate name \nNOM D'USAGE\n\nN\u00b0 DU DOCUMENT / Document No. \nX4RTBPFW4\n\nDATE D'EXPIR. / Expiry date \n11 02 2030\n\nSignature\n\n384213", "predicted": "R\u00c9PUBLIQUE FRAN\u00c7AISE FR\nCARTE NATIONALE D'IDENTIT\u00c9 / IDENTITY CARD\nNOM / Surname\nMARTIN\nPr\u00e9noms / Given names\nMa\u00eblys-Ga\u00eblle, Marie\nSEXE / Sex NATIONALIT\u00c9 / Nationality DATE DE NAISS. / Date of birth\nF FRA 13 07 1990\nLIEU DE NAISSANCE / Place of birth\nPARIS\nNOM D'USAGE / Alternate name\nNOM D'USAGE\nN\u00b0 DU DOCUMENT / Document No. DATE D'EXPIR. / Expiry date\nX4RTBPFW4 11 02 2030\n384213", "correct": false, "input_tokens": 1179, "output_tokens": 1680, "elapsed_seconds": 54.30771212500986, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the main identity document, reading top to bottom and left to right, and ignore the vertical text along the left edge, the signature graphic, and the faint background watermark.", "match_method": "similarity", "score": 0.8504, "attempts": 1, "retries": 0, "total_seconds": 54.3698}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 28, "image": "bcd74d99-f2d8-4005-aa54-2cc083e5a293_png.rf.1d000af6e7da39b4a95398db67f4bcbb.jpg", "expected": "4/16/26, 3:09 PM\n\nDocs\n\nGetting Started with Docker setup\n\nTo begin developing and deploying applications within this environment, you must have Docker Engine and the Docker Compose plugin installed. Follow the steps below to set up the environment on a Debian/Ubuntu-based system.\n\n1. Update the Package Index\n\nsudo apt update\n\nsudo apt install -y ca-certificates curl gnupg lsb-release\n\ncurl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --dearmor -o /etc/apt/keyrings/docker.gpg\n\nsudo chmod a+r /etc/apt/keyrings/docker.gpg\n\necho \\\n \"deb [arch=$(dpkg --print-architecture) signed-by=/etc/apt/keyrings/docker.gpg] https://download.docker.com/linux/ubuntu \\\n $(. /etc/os-release && echo \"$VERSION_CODENAME\") stable\" | \\\n sudo tee /etc/apt/sources.list.d/docker.list > /dev/null\n\nsudo apt update\n\nsudo apt install -y docker-ce docker-ce-cli containerd.io docker-buildx-plugin docker-compose-plugin", "predicted": "4/16/26, 3:09 PM Docs\n\nGetting Started with Docker setup\n\nTo begin developing and deploying applications within this environment, you must\nhave Docker Engine and the Docker Compose plugin installed. Follow the steps\nbelow to set up the environment on a Debian/Ubuntu-based system.\n\n1. Update the Package Index\n\nsudo apt update\n\nsudo apt install -y ca-certificates curl gnupg lsb-release\n\ncurl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --\ndearmor -o /etc/apt/keyrings/docker.gpg\n\nsudo chmod a+r /etc/apt/keyrings/docker.gpg\n\necho \\\n \"deb [arch=$(dpkg --print-architecture) signed-\nby=/etc/apt/keyrings/docker.gpg]\nhttps://download.docker.com/linux/ubuntu \\\n $(. /etc/os-release && echo \"$VERSION_CODENAME\") stable\" | \\\n sudo tee /etc/apt/sources.list.d/docker.list > /dev/null\n\nsudo apt update\n\nsudo apt install -y docker-ce docker-ce-cli containerd.io docker-\nbuildx-plugin docker-compose-plugin", "correct": true, "input_tokens": 1161, "output_tokens": 1680, "elapsed_seconds": 17.21518349996768, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9913, "attempts": 1, "retries": 0, "total_seconds": 17.2246}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 29, "image": "8aa12106-fbe5-4983-96bf-a1243a7c4020_png.rf.83832cdeaaf470d6954bbada16920ccd.jpg", "expected": "\"Jade City\"\nBaan 16 - 8256 AX\nBiddinghuizen\n\nT.Nr: L7\n\n
1 Gebraden magere spek met pikante saus a 19.50 (1 Nasi a EUR 1.00)EUR20.50
1 Chinese bami a la \"Jade City\" a 19.00EUR19.00
1 Babi pangang met pikante saus a 19.00 (1 Nasi a EUR 1.00)EUR20.00
1 Koe Loe Kai a 18.00 (1 Nasi a EUR 1.00)EUR19.00
1 Ossenhaas met oestersaus a 21.00EUR21.00
2 Dame blanche(ijs.choc.slagroom)EUR9.00
1 Cola a 3.25EUR3.25
2 Cola-max a 3.25EUR6.50
1 Sinas a 3.25EUR3.25
1 Seven-up a 3.25EUR3.25
2 ice thee met prik a 3.75EUR7.50
3 ijs a 4.00EUR12.00
\n\n============ +\nTotaal: EUR 144.25\n============\n\nBTW 9.0% EUR 11.91\n\nBedankt voor Uw bezoek\nRabobank NL29 0348178123\nKvk 39037611", "predicted": "\"Jade City\"\nBaan 16 - 8256 AX\nBiddinghuizen\n\nT.Nr: L7\n\n
1 Gebraden magere spek metEUR20.50
pikante saus a 19.50
(1 Nasi a EUR 1.00)
1 Chinese bami a la \"JadeEUR19.00
City\" a 19.00
1 Babi pangang met pikanteEUR20.00
saus a 19.00
(1 Nasi a EUR 1.00)
1 Koe Loe Kai a 18.00EUR19.00
(1 Nasi a EUR 1.00)
1 Ossenhaas met oestersausEUR21.00
a 21.00
2 DameEUR9.00
blanche(ijs.choc.slagroom)
1 Cola a 3.25EUR3.25
2 Cola-max a 3.25EUR6.50
1 Sinas a 3.25EUR3.25
1 Seven-up a 3.25EUR3.25
2 ice thee met prik a 3.75EUR7.50
3 ijs a 4.00EUR12.00
=========== +
Totaal:EUR144.25
===========
\n\nBTW 9.0% EUR 11.91\n\nBedankt voor Uw bezoek\nRabobank NL29 0348178123\nKvk 39037611", "correct": false, "input_tokens": 1204, "output_tokens": 3994, "elapsed_seconds": 42.25325162510853, "metadata": {"question": "Transcribe all text in this document exactly and completely, in reading order, preserving casing, punctuation, currency symbols, and codes. Use an HTML table only for genuinely tabular content, mirroring its rows, columns, and merged cells; write the HTML on single lines with no indentation or blank lines between tags, and collapse horizontal alignment to a single space. Transcribe only the main receipt in the foreground, and ignore the upside-down, semi-transparent receipt behind it.", "match_method": "similarity", "score": 0.6682, "attempts": 1, "retries": 0, "total_seconds": 42.3205}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 30, "image": "11b83a24-c9b8-4d9a-b4db-b73d396719cd_png.rf.358e9a65b048e920c8eacbd7b7fb1df6.jpg", "expected": "Something tells me that if they released their chat/tool/hyper-param templates which they use on their cloud service, there'd be a lot more love and acceptance. Why anyone is still using a llama.cpp wrapper anymore is the better question and beyond me.", "predicted": "Eric @Ex0byt \u00b7 1\u5c0f\u65f6\nSomething tells me that if they released their chat/tool/hyper-param\ntemplates which they use on their cloud service, there\u2019d be a lot more love\nand acceptance. Why anyone is still using a llama.cpp wrapper anymore is\nthe better question and beyond me.\n40", "correct": false, "input_tokens": 1199, "output_tokens": 1513, "elapsed_seconds": 19.694265707978047, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom, keeping each author's handle with their message, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the reply authored by Eric (@Ex0byt).", "match_method": "similarity", "score": 0.9051, "attempts": 1, "retries": 0, "total_seconds": 19.7265}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 31, "image": "fc6e5e8d-4b33-4a20-a63a-96c0205ae8f6_png.rf.6cdeb04c221a85b1895ded05acdbfa1b.jpg", "expected": "When recorded return to:\nSTRIBLING LAW FIRM PO\n101 E MCINTOSH ST\nMILLEDGEVILLE GA 3106\n\nDoc ID: 001029530008 Type: GLR\nRecorded: 10/21/2013 at 04:07:30 PM\nPage 1 of 8\nBaldwin, Ga. Clerk Superior Court\nRosemary Phillips Clerk of Courts\nBK 1150 PG 483-490\n\nFILED & RECORDED\nCLERK, SUPERIOR COURT\nBALDWIN COUNTY, GA\n2013 OCT 21 PM 4: 07\nBY\nROSEMARY PHILLIPS, CLERK\n\nDeed To Secure Debt\n(With Future Advance Clause)\n\n1. Date and Parties. The date of this Deed to Secure Debt (Security Instrument) is OCTOBER 21, 2013\n. The parties and their addresses are:\n\nGrantor: THE BRACK FAMILY LIMITED\nPARTNERSHIP\n891 S JEFFERSON STREET SE\nMILLEDGEVILLE GA 31061\n\n\u2610 If checked, refer to the attached Addendum incorporated herein, for additional Grantors, their signatures\nand acknowledgments.\n\nGrantee: CENTURY BANK AND TRUST\n(\"Lender\") 141 S WAYNE ST\nMILLEDGEVILLE, GA 31061-5708\n\n2. Conveyance. For good and valuable consideration, the receipt and sufficiency of which is acknowledged,\nand to secure the Secured Debt (defined below) and Grantor\u2019s performance under this Security Instrument,\nGrantor irrevocably grants, bargains, transfers, conveys and sells to Lender, with power of sale, the\nfollowing described property:\n*SEE EXHIBIT 'A' ATTACHED HERETO AND INCORPORATED HEREIN BY REFERENCE.\n\nThe property is located in BALDWIN at\n(County)\n101 KINGS RD , MILLEDGEVILLE , Georgia 31061-0000\n(Address) (City) (ZIP Code)\nTogether with all rights, easements, appurtenances, royalties, mineral rights, oil and gas rights, all water and\nriparian rights, ditches, and water stock and all existing and future improvements, structures, fixtures, and\nreplacements that may now, or at any time in the future, be part of the real estate described above (all\nreferred to as \"Property\").\n\n3. Maximum Obligation Limit. The total principal amount secured by this Security Instrument at any one time\nshall not exceed $ UNLIMITED . This limitation of amount does not include\ninterest and other fees and charges validly made pursuant to this Security Instrument. Also, this limitation\ndoes not apply to advances made under the terms of this Security Instrument to protect Lender\u2019s security and\nto perform any of the covenants contained in this Security Instrument.\n\nReal Estate Security Instrument-Consumer-GA\nVMP\u00ae Bankers Systems\u2122\nWolters Kluwer Financial Services \u00a9 1994, 2011\n\nRE-DSD-GA 1/24/2011\nVMPC231(GA) (1101).00\nPage 1 of 6\n\nBB R# 189300", "predicted": "When recorded return to:\nSTRIBLING LAW FIRM PC 2\n101 E MCINTOSH ST\nMILLEDGEVILLE GA 31061\n\nDoc ID: 001029530008 Type: GLR\nRecorded: 10/21/2013 at 04:07:30 PM\nPage 1 of 8\nBaldwin, Ga. Clerk Superior Court\nRosemary Phillips Clerk of Courts\nBK 1150 PG483-490\n\nFILED & RECORDED\nCLERK, SUPERIOR COURT\nBALDWIN COUNTY, GA\n2013 OCT 21 PM 4: 07\nBY Barbara Boyer\nROSEMARY PHILLIPS, CLERK\nDpty Clerk\n\nDeed To Secure Debt\n(With Future Advance Clause)\n\n1. Date and Parties. The date of this Deed to Secure Debt (Security Instrument) is OCTOBER 21, 2013\n . The parties and their addresses are:\n\n Grantor: THE BRACK FAMILY LIMITED\n PARTNERSHIP\n 891 S JEFFERSON STREET SE\n MILLEDGEVILLE GA 31061\n\n If checked, refer to the attached Addendum incorporated herein, for additional Grantors, their signatures\n and acknowledgments.\n\n Grantee: CENTURY BANK AND TRUST\n (\"Lender\") 141 S WAYNE ST\n MILLEDGEVILLE, GA 31061-5708\n\n2. Conveyance. For good and valuable consideration, the receipt and sufficiency of which is acknowledged,\n and to secure the Secured Debt (defined below) and Grantor's performance under this Security Instrument,\n Grantor irrevocably grants, bargains, transfers, conveys and sells to Lender, with power of sale, the\n following described property:\n *SEE EXHIBIT 'A' ATTACHED HERETO AND INCORPORATED HEREIN BY REFERENCE.\n\n The property is located in BALDWIN at\n (County)\n101 KINGS RD , MILLEDGEVILLE , Georgia 31061-0000\n (Address) (City) (ZIP Code)\n Together with all rights, easements, appurtenances, royalties, mineral rights, oil and gas rights, all water and\n riparian rights, ditches, and water stock and all existing and future improvements, structures, fixtures, and\n replacements that may now, or at any time in the future, be part of the real estate described above (all\n referred to as \"Property\").\n\n3. Maximum Obligation Limit. The total principal amount secured by this Security Instrument at any one time\n shall not exceed $ UNLIMITED . This limitation of amount does not include\n interest and other fees and charges validly made pursuant to this Security Instrument. Also, this limitation\n does not apply to advances made under the terms of this Security Instrument to protect Lender's security and\n to perform any of the covenants contained in this Security Instrument.\n\nReal Estate Security Instrument-Consumer-GA RE-DSD-GA 1/24/2011\nVMP\u00ae Bankers Systems\u2122 VMPC231(GA) (1101).00\nWolters Kluwer Financial Services \u00a9 1994, 2011 Page 1 of 6\n\n BB R# 189300", "correct": false, "input_tokens": 1168, "output_tokens": 3387, "elapsed_seconds": 36.455447165993974, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.942, "attempts": 1, "retries": 0, "total_seconds": 36.4856}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 32, "image": "c05c3288-ac14-47d6-8756-9ad484ae9696_png.rf.0ff67a7a39c5d5c7c9739988d851c032.jpg", "expected": "COST OF LIVING\n\nThe following figures are a general guide to essential monthly expenses for an expatriate executive living in Azerbaijan.\n\nMarried\nSingle couple with\nperson two children\n(US$) (US$)\n\nRent 800 3,000\nFood 300 1,200\nTransport 150 300\nUtilities 100 150\nEducation n. a. 1,000\nMiscellaneous 500 1,000\n\nTotal 1,850 6,650", "predicted": "COST OF LIVING\n\nThe following figures are a general guide to\nessential monthly expenses for an expatriate\nexecutive living in Azerbaijan.\n\nMarried\nSingle couple with\nperson two children\n(US$) (US$)\nRent 800 3,000\nFood 300 1,200\nTransport 150 300\nUtilities 100 150\nEducation n. a. 1,000\nMiscellaneous 500 1,000\nTotal 1,850 6,650", "correct": true, "input_tokens": 1164, "output_tokens": 688, "elapsed_seconds": 8.89896299992688, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9878, "attempts": 1, "retries": 0, "total_seconds": 8.9404}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 33, "image": "5327a38f-11a2-45f2-9a38-e1375dfbeb43_png.rf.b6a2243d098302d780056ad980a16a9c.jpg", "expected": "Probabilistic two-stage detection\n\ncosts of the second stage. Our second stage makes full use of years of progress in two-stage detection (Cai & Vasconcelos, 2018; Chen et al., 2019a) and yields a significant increase in detection accuracy over one-stage baselines. It also easily scales to large-vocabulary detection.\n\nExperiments on COCO (Lin et al., 2014), LVIS (Gupta et al., 2019), and Objects365 (Shao et al., 2019) demonstrate that our probabilistic two-stage framework boosts the accuracy of a strong CascadeRCNN model by 1-3 mAP, while also improving its speed. Using a standard ResNeXt-101-DCN backbone with a CenterNet (Zhou et al., 2019a) first stage, our detector achieves 50.2 mAP on COCO test-dev. With a strong Res2Net-101-DCN-BiFPN (Gao et al., 2019a; Tan et al., 2020b) backbone and self-training (Zoph et al., 2020), it achieves 56.4 mAP with single-scale testing, outperforming all published results. Using a small DLA-BiFPN backbone and lower input resolution, we achieve 49.2 mAP on COCO at 33 fps on a Titan Xp, outperforming the popular YOLOv4 model (43.5 mAP at 33 fps) on the same hardware. Code and models are release at https://github.com/xingyizhou/CenterNet2.\n\n2. Related Work\n\nOne-stage detectors jointly predict an output class and location of objects densely throughout the image. RetinaNet (Lin et al., 2017b) classifies a set of predefined sliding anchor boxes and handles the foreground-background imbalance by reweighting losses for each output. FCOS (Tian et al., 2019) and CenterNet (Zhou et al., 2019a) eliminate the need of multiple anchors per pixel and classify foreground/background by location. ATSS (Zhang et al., 2020b) and PAA (Kim & Lee, 2020) further improve FCOS by changing the definition of foreground and background. GFL (Li et al., 2020b) and Autoassign (Zhu et al., 2020a) change the hard foreground-background assignment to a weighted soft assignment. AlignDet (Chen et al., 2019c) uses a deformable convolution layer before the output to gather richer features for classification and regression. RepPoint (Yang et al., 2019) and DenseRepPoint (Yang et al., 2020) encode bounding boxes as the outline of a set of points and use the features of the point set for classification. BorderDet (Qiu et al., 2020) pools features along the bounding box for better localization. Most one-stage detectors have a sound probabilistic interpretation.\n\nWhile one-stage detectors have achieved competitive performance (Zhang et al., 2020b; Kim & Lee, 2020; Zhang et al., 2019; Li et al., 2020b; Zhu et al., 2020a), they usually rely on heavier separate classification and regression branches than two-stage models. In fact, they are no longer faster than their two-stage counterparts if the vocabulary (i.e., the set of object classes) is large (as in the LVIS or Objects365 datasets). Also, one-stage detectors only use the local features of the positive cell for regression and classification, which is sometimes misaligned with the object (Chen et al., 2019c; Song et al., 2020).\n\nOur probabilistic two-stage framework retains the probabilistic interpretation of one-stage detectors, but factorizes the probability distribution over multiple stages, improving both accuracy and speed.\n\nTwo-stage detectors first use a region proposal network (RPN) to generate coarse object proposals, and then use a dedicated per-region head to classify and refine them. Faster-RCNN (Ren et al., 2015; He et al., 2017) uses two fully-connected layers as the RoI heads. CascadeRCNN (Cai & Vasconcelos, 2018) uses three cascaded stages of Faster-RCNN, each with a different positive threshold so that the later stages focus more on localization accuracy. HTC (Chen et al., 2019a) utilizes additional instance and semantic segmentation annotations to enhance the inter-stage feature flow of CascadeRCNN. TSD (Song et al., 2020) decouples the classification and localization branches for each RoI.\n\nTwo-stage detectors are still more accurate in many settings (Gupta et al., 2019; Sun et al., 2020; Kuznetsova et al., 2018). Currently, all two-stage detectors use a relatively weak RPN that maximizes the recall of the top 1K proposals, and does not utilize the proposal score at test time. The large number of proposals slows the system down, and the recall-based proposal network does not directly offer the same clear probabilistic interpretation as one-stage detectors. Our framework addresses this, and integrates a strong class-agnostic single-stage object detector with later classification stages. Our first stage uses fewer, but higher quality, regions, yielding both faster inference and higher accuracy.\n\nOther detectors. A family of object detectors identify objects via points in the image. CornerNet (Law & Deng, 2018) detects the top-left and bottom-right corners and groups them using an embedding feature. ExtremeNet (Zhou et al., 2019b) detects four extreme points and groups them using an additional center point. Duan et al. (2019) detect the center point and use it to improve corner grouping. Corner Proposal Net (Duan et al., 2020) uses pairwise corner groupings as region proposals. CenterNet (Zhou et al., 2019a) detects the center point and regresses the bounding box parameters from it.\n\nDETR (Carion et al., 2020) and Deformable DETR (Zhu et al., 2020c) remove the dense output in a detector, and instead use a Transformer (Vaswani et al., 2017) that directly predicts a set of bounding boxes.\n\nThe major difference between point-based detectors, DETR, and conventional detectors lies in the network architecture. Point-based detectors use a fully-convolutional network (Newell et al., 2016; Yu et al., 2018), usually with symmetric downsampling and upsampling layers, and pro-", "predicted": "Probabilistic two-stage detection\n\ncosts of the second stage. Our second stage makes full use\nof years of progress in two-stage detection (Cai & Vascon-\ncelos, 2018; Chen et al., 2019a) and yields a significant\nincrease in detection accuracy over one-stage baselines. It\nalso easily scales to large-vocabulary detection.\nExperiments on COCO (Lin et al., 2014), LVIS (Gupta\net al., 2019), and Objects365 (Shao et al., 2019) demon-\nstrate that our probabilistic two-stage framework boosts the\naccuracy of a strong CascadeRCNN model by 1-3 mAP,\nwhile also improving its speed. Using a standard ResNeXt-\n101-DCN backbone with a CenterNet (Zhou et al., 2019a)\nfirst stage, our detector achieves 50.2 mAP on COCO test-\ndev. With a strong Res2Net-101-DCN-BiFPN (Gao et al.,\n2019a; Tan et al., 2020b) backbone and self-training (Zoph\net al., 2020), it achieves 56.4 mAP with single-scale testing,\noutperforming all published results. Using a small DLA-\nBiFPN backbone and lower input resolution, we achieve\n49.2 mAP on COCO at 33 fps on a Titan Xp, outperforming\nthe popular YOLOv4 model (43.5 mAP at 33 fps) on the\nsame hardware. Code and models are release at https:\n//github.com/xingyizhou/CenterNet2.\n\n2. Related Work\nOne-stage detectors jointly predict an output class and\nlocation of objects densely throughout the image. Reti-\nnaNet (Lin et al., 2017b) classifies a set of predefined sliding\nanchor boxes and handles the foreground-background im-\nbalance by reweighting losses for each output. FCOS (Tian\net al., 2019) and CenterNet (Zhou et al., 2019a) elimi-\nnate the need of multiple anchors per pixel and classify\nforeground/background by location. ATSS (Zhang et al.,\n2020b) and PAA (Kim & Lee, 2020) further improve FCOS\nby changing the definition of foreground and background.\nGFL (Li et al., 2020b) and Autoassign (Zhu et al., 2020a)\nchange the hard foreground-background assignment to a\nweighted soft assignment. AlignDet (Chen et al., 2019c)\nuses a deformable convolution layer before the output to\ngather richer features for classification and regression. Rep-\nPoint (Yang et al., 2019) and DenseRepPoint (Yang et al.,\n2020) encode bounding boxes as the outline of a set of\npoints and use the features of the point set for classification.\nBorderDet (Qiu et al., 2020) pools features along the bound-\ning box for better localization. Most one-stage detectors\nhave a sound probabilistic interpretation.\nWhile one-stage detectors have achieved competitive perfor-\nmance (Zhang et al., 2020b; Kim & Lee, 2020; Zhang et al.,\n2019; Li et al., 2020b; Zhu et al., 2020a), they usually rely\non heavier separate classification and regression branches\nthan two-stage models. In fact, they are no longer faster\nthan their two-stage counterparts if the vocabulary (i.e., the\nset of object classes) is large (as in the LVIS or Objects365\ndatasets). Also, one-stage detectors only use the local fea-\nture of the positive cell for regression and classification,\nwhich is sometimes misaligned with the object (Chen et al.,\n2019c; Song et al., 2020).\nOur probabilistic two-stage framework retains the proba-\nbilistic interpretation of one-stage detectors, but factorizes\nthe probability distribution over multiple stages, improving\nboth accuracy and speed.\nTwo-stage detectors first use a region proposal network\n(RPN) to generate coarse object proposals, and then use a\ndedicated per-region head to classify and refine them. Faster-\nRCNN (Ren et al., 2015; He et al., 2017) uses two fully-\nconnected layers as the RoI heads. CascadeRCNN (Cai &\nVasconcelos, 2018) uses three cascaded stages of Faster-\nRCNN, each with a different positive threshold so that the\nlater stages focus more on localization accuracy. HTC (Chen\net al., 2019a) utilizes additional instance and semantic seg-\nmentation annotations to enhance the inter-stage feature\nflow of CascadeRCNN. TSD (Song et al., 2020) decouples\nthe classification and localization branches for each RoI.\nTwo-stage detectors are still more accurate in many set-\ntings (Gupta et al., 2019; Sun et al., 2020; Kuznetsova et al.,\n2018). Currently, all two-stage detectors use a relatively\nweak RPN that maximizes the recall of the top 1K propos-\nals, and does not utilize the proposal score at test time. The\nlarge number of proposals slows the system down, and the\nrecall-based proposal network does not directly offer the\nsame clear probabilistic interpretation as one-stage detec-\ntors. Our framework addresses this, and integrates a strong\nclass-agnostic single-stage object detector with later classi-\nfication stages. Our first stage uses fewer, but higher quality,\nregions, yielding both faster inference and higher accuracy.\nOther detectors. A family of object detectors iden-\ntify objects via points in the image. CornerNet (Law\n& Deng, 2018) detects the top-left and bottom-right cor-\nners and groups them using an embedding feature. Ex-\ntremeNet (Zhou et al., 2019b) detects four extreme points\nand groups them using an additional center point. Duan\net al. (2019) detect the center point and use it to improve\ncorner grouping. Corner Proposal Net (Duan et al., 2020)\nuses pairwise corner groupings as region proposals. Cen-\nterNet (Zhou et al., 2019a) detects the center point and\nregresses the bounding box parameters from it.\nDETR (Carion et al., 2020) and Deformable DETR (Zhu\net al., 2020c) remove the dense output in a detector, and\ninstead use a Transformer (Vaswani et al., 2017) that directly\npredicts a set of bounding boxes.\nThe major difference between point-based detectors, DETR,\nand conventional detectors lies in the network architec-\nture. Point-based detectors use a fully-convolutional net-\nwork (Newell et al., 2016; Yu et al., 2018), usually with\nsymmetric downsampling and upsampling layers, and pro-", "correct": true, "input_tokens": 1156, "output_tokens": 6006, "elapsed_seconds": 50.25269062502775, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9789, "attempts": 1, "retries": 0, "total_seconds": 50.2936}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 34, "image": "f3701711-56c0-4e6d-94ad-edbe5931b13c_png.rf.0dfe995026d12d57bfa8621b501a51c9.jpg", "expected": "Table.10 Nutrient availability after harvesting of pigeon pea (pooled data of 3 years).\n\n
Tr.TreatmentsAvailable NAvailable PAvailable KDTPA-FeDTPA-ZnDTPA-CuDTPA-Mn
Kg ha-1mgkg-1
T1Absolute control (No Fertilizers)144.536.11535.003.350.411.114.60
T2RDF only (25:50:00 NPK/ha)147.517.21539.673.390.431.134.69
T3RDF+ 25 Kg K2O/ha148.427.57558.933.520.441.154.79
T4RDF+ 50 Kg K2O/ha154.517.71560.003.520.441.224.81
T5RDF+ 25 Kg K2O/ha+ Grade I micronutrient (soil application)154.697.59562.003.580.561.325.79
T6RDF+ 50Kg K2O/ha + Grade I micronutrient (soil application)157.918.16596.003.830.581.346.11
T7RDF+ 25 Kg K2O/ha + Grade II micronutrient (0.5 % foliar spray)155.407.90592.003.590.451.265.53
T8RDF+ 50 Kg K2O/ha + Grade II micronutrient (0.5 % foliar spray)157.058.12595.003.710.451.315.70
T9RDF+ 25 Kg K2O/ha + 2 % KNO3(foliar spray)148.677.60558.003.530.421.155.51
T10RDF+ 50 Kg K2O/ha + 2 % KNO3(foliar spray)152.517.77592.673.450.431.235.54
SEm (\u00b1)1.900.4111.300.020.020.010.32
CD at 5 %5.631.2733.540.060.030.97
Grand mean152.127.57568.933.540.081.225.31
\n\n13", "predicted": "Table.10 Nutrient availability after harvesting of pigeon pea (pooled data of 3 years).\n\n
Tr.TreatmentsAvailable NAvailable PAvailable KDTPA-FeDTPA-ZnDTPA-CuDTPA-Mn
Kg ha\u207b\u00b9mgkg\u207b\u00b9
T\u2081Absolute control (No Fertilizers)144.536.11535.003.350.411.114.60
T\u2082RDF only (25:50:00 NPK/ha)147.517.21539.673.390.431.134.69
T\u2083RDF+ 25 Kg K\u2082O/ha148.427.57558.933.520.441.154.79
T\u2084RDF+ 50 Kg K\u2082O/ha154.517.71560.003.520.441.224.81
T\u2085RDF+ 25 Kg K\u2082O/ha+ Grade I micronutrient (soil application)154.697.59562.003.580.561.325.79
T\u2086RDF+ 50Kg K\u2082O/ha + Grade I micronutrient (soil application)157.918.16596.003.830.581.346.11
T\u2087RDF+ 25 Kg K\u2082O/ha + Grade II micronutrient (0.5 % foliar spray)155.407.90592.003.590.451.265.53
T\u2088RDF+ 50 Kg K\u2082O/ha + Grade II micronutrient (0.5 % foliar spray)157.058.12595.003.710.451.315.70
T\u2089RDF+ 25 Kg K\u2082O/ha + 2 % KNO\u2083(foliar spray)148.677.60558.003.530.421.155.51
T\u2081\u2080RDF+ 50 Kg K\u2082O/ha + 2 % KNO\u2083(foliar spray)152.517.77592.673.450.431.235.54
SEm (\u00b1)1.900.4111.300.020.020.010.32
CD at 5 %5.631.2733.540.060.030.97
Grand mean152.127.57568.933.540.081.225.31
\n\n13", "correct": false, "input_tokens": 1194, "output_tokens": 4507, "elapsed_seconds": 40.106526499963365, "metadata": {"question": "Transcribe all text in this document exactly and completely, in reading order, preserving casing, punctuation, currency symbols, and codes. Use an HTML table only for genuinely tabular content, mirroring its rows, columns, and merged cells; write the HTML on single lines with no indentation or blank lines between tags, and collapse horizontal alignment to a single space.", "match_method": "similarity", "score": 0.8776, "attempts": 1, "retries": 0, "total_seconds": 40.1399}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 35, "image": "c81c96a7-296d-4050-827a-f89309f7a523_png.rf.28cfadfc50dc15c7a43434f17af3489f.jpg", "expected": "will i am \nPlumbing & Heating\n\nBusiness Address \n24 Godwin House \nLondon, E2 8PH\n\n07851 499 470\n\n020 7 686 8226\n\ninfo@will-i-am-pnh.co.uk\n\nInvoice to: \nOrkun Acikgoz \nFlat 3 Pedlers Apartments, 1C Hewison \nStreet E3 2HZ\n\nInvoice No: 17065 \nDate: 12th May 2025\n\nRef: Flat 3 Pedlers Apartments, 1C Hewison \nStreet E3 2HZ\n\n
DESCRIPTIONQTYUNIT PRICETOTAL PRICE
Carried out an investigation, fault diagnosis and attempt to repair a leak going downstairs after the shower was used on 12/05/25 (2 hours on site - please refer to email for a report)2\u00a3100.00\u00a3200.00
Materials - x1 white silicone, x1 PTFE1\u00a310.78\u00a310.78
\n\n
SUBTOTAL:\u00a3210.78
20.0% S:\u00a342.16
TOTAL:\u00a3252.94
PAID:\u00a30.00
BALANCE DUE:\u00a3252.94
\n\nBank details as follows: \nBANK \u2013 HSBC \nwill i am Plumbing & Heating Limited \nSORT CODE \u2013 40-01-18 \nACCOUNT NO. - 41837478\n\n\u00a3252.94 due on 12th May 2025\n\nThank You", "predicted": "will i am\nPlumbing & Heating\n\nBusiness Address\n24 Godwin House\nLondon, E2 8PH\n07851 499 470\n020 7 686 8226\ninfo@will-i-am-pnh.co.uk\n\nInvoice to:\nOrkun Acikgoz\nFlat 3 Pedlers Apartments, 1C Hewison\nStreet E3 2HZ\n\nInvoice No: 17065\nDate: 12th May 2025\nRef: Flat 3 Pedlers Apartments, 1C Hewison\nStreet E3 2HZ\n\n
DESCRIPTIONQTYUNIT PRICETOTAL PRICE
Carried out an investigation, fault diagnosis and attempt to repair a leak going downstairs after the shower was used on 12/05/25 (2 hours on site - please refer to email for a report)2\u00a3100.00\u00a3200.00
Materials - x1 white silicone, x1 PTFE1\u00a310.78\u00a310.78
\n\nSUBTOTAL: \u00a3210.78\n20.0% S: \u00a342.16\nTOTAL: \u00a3252.94\nPAID: \u00a30.00\nBALANCE DUE: \u00a3252.94\n\nBank details as follows:\nBANK \u2013 HSBC\nwill i am Plumbing & Heating Limited\nSORT CODE \u2013 40-01-18\nACCOUNT NO. - 41837478\n\n\u00a3252.94 due on 12th May 2025\nThank You", "correct": false, "input_tokens": 1194, "output_tokens": 2118, "elapsed_seconds": 26.60156308300793, "metadata": {"question": "Transcribe all text in this document exactly and completely, in reading order, preserving casing, punctuation, currency symbols, and codes. Use an HTML table only for genuinely tabular content, mirroring its rows, columns, and merged cells; write the HTML on single lines with no indentation or blank lines between tags, and collapse horizontal alignment to a single space.", "match_method": "similarity", "score": 0.8435, "attempts": 1, "retries": 0, "total_seconds": 26.6264}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225050", "index": 36, "image": "b883e11d-433f-4c18-b0a5-11a0599a241b_png.rf.1efeebf4c96c16074b4f57edde37de47.jpg", "expected": "AUTORES\n\n01- ANA LUIZA BAPTISTA\n02- ANA MARA ALVES DE FREITAS\n03- AMANDA MACHADO AGUIAR\n04- ANDREA NICOLAU PASCHOAL\n05- CARLOS EDUARDO PEREIRA DE MELLO\n06- CRISTIANE HONDA\n07- DANIEL DELAZERI DE FARIA\n08- DIEGO VIEIRA DE SOUZA\n09- ILAN AKISABURO KIMURA\n10- MARIANA BOTELHO MENEGATTI\n11- MARINA PEINADO BERBERIAN\n12- MICHAEL MENDES\n13- RAFAEL DONIZETI SOUZA DE TOLEDO\n14- RAFAEL PADILLA\n15- RAFAEL SCHULIEN\n16- RENATA QUISSAK BARTELEGA PEIXOTO\n17- SILVIA RIBEIRO BROTTO\n18- THAIS NAGOSHI SUZUKI", "predicted": "AUTORES\n\n01- ANA LUIZA BAPTISTA\n02- ANA MARA ALVES DE FREITAS\n03- AMANDA MACHADO AGUIAR\n04- ANDREA NICOLAU PASCHOAL\n05- CARLOS EDUARDO PEREIRA DE MELLO\n06- CRISTIANE HONDA\n07- DANIEL DELAZERI DE FARIA\n08- DIEGO VIEIRA DE SOUZA\n09- ILAN AKISABURO KIMURA\n10- MARIANA BOTELHO MENEGATTI\n11- MARINA PEINADO BERBERIAN\n12- MICHAEL MENDES\n13- RAFAEL DONIZETI SOUZA DE TOLEDO\n14- RAFAEL PADILLA\n15- RAFAEL SCHULIEN\n16- RENATA QUISSAK BARTELEGA PEIXOTO\n17- SILVIA RIBEIRO BROTTO\n18- THAIS NAGOSHI SUZUKI", "correct": true, "input_tokens": 1176, "output_tokens": 947, "elapsed_seconds": 27.596007458050735, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 1.0, "attempts": 1, "retries": 0, "total_seconds": 27.6932}} diff --git a/results/ocr_gemini-4-argon_high_20261012_225128.jsonl b/results/ocr_gemini-4-argon_high_20261012_225128.jsonl new file mode 100644 index 0000000..35fa7e7 --- /dev/null +++ b/results/ocr_gemini-4-argon_high_20261012_225128.jsonl @@ -0,0 +1,37 @@ +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 0, "image": "4f770728-7b1f-4bf3-b877-e3d33fcc135d_png.rf.dffcaaeb26fd7fe4fd14891cb00a0adf.jpg", "expected": "100 Good Cookies\n1 cup white sugar 1 teaspoon baking soda\n1 cup brown sugar 1 cup quick oatmeal\n1 cup margarine 1 cup coconut\n1 cup cooking oil 1 cup Rice Krispies\n1 egg 1 cup chopped walnuts\n1 teaspoon vanilla 3\u00bd cups flour\n1 teaspoon cream of tartar 1-12oz. package mini\nchocolate chips\nMix in order given. Drop by teaspoonful onto cookie sheet. Bake at 350\u00b0 for 8-10 minutes.\n(over)", "predicted": "100 Good Cookies\n1 cup white sugar 1 teaspoon baking soda\n1 cup brown sugar 1 cup quick oatmeal\n1 cup margarine 1 cup coconut\n1 cup cooking oil 1 cup Rice Krispies\n1 egg 1 cup chopped walnuts\n1 teaspoon vanilla 3\u00bd cups flour\n1 teaspoon cream of tartar 1-12oz. package mini\n Chocolate chips\nMix in order given. Drop by teaspoonful onto\ncookie sheet. Bake at 350\u00b0 for 8-10 minutes.\n (over)", "correct": true, "input_tokens": 1163, "output_tokens": 1746, "elapsed_seconds": 33.86683291592635, "metadata": {"question": "Transcribe all handwritten and printed text exactly as written, reading top to bottom and left to right, and omit nothing; mark only genuinely unreadable words as [illegible]. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9897, "attempts": 1, "retries": 0, "total_seconds": 33.8947}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 1, "image": "0de03edc-15c5-4782-a74b-7cedb1df477b_png.rf.357da74f0ffbbb05467a6069097f2740.jpg", "expected": "(1) 8 + 7 = 15 (9) 17 - 9 = 8\n(2) 15 - 6 = 9 (10) 7 + 9 = 16\n(3) 9 + 4 = 13 (11) 14 - 8 = 6\n(4) 13 - 5 = 8 (12) 5 + 6 = 11\n(5) 6 + 8 = 14 (13) 16 - 7 = 9\n(6) 5 + 9 = 14 (14) 3 + 7 = 10", "predicted": "(1) 8 + 7 = 15 (9) 17 - 9 = 8\n(2) 15 - 6 = 9 (10) 7 + 9 = 16\n(3) 9 + 4 = 13 (11) 14 - 8 = 6\n(4) 13 - 5 = 8 (12) 5 + 6 = 11\n(5) 6 + 8 = 14 (13) 16 - 7 = 9\n(6) 5 + 9 = 14 (14) 3 + 7 = 10", "correct": true, "input_tokens": 1178, "output_tokens": 645, "elapsed_seconds": 21.46425012499094, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 1.0, "attempts": 1, "retries": 0, "total_seconds": 21.4784}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 2, "image": "861cb64d-800a-4635-999c-739199f8b473_png.rf.2dfcae9315498e5af9851962b9b1b65d.jpg", "expected": "2516 Country Club Rd.\nWinston Salem NC 27104\nJuly 17, 1981\n\nDr T S Osdene\nDirector of Research and Scientific Affairs\nPHILIP MORRIS USA\nResearch Center\nP.O Box 26583\nRichmond VA 23261\n\nDear Tom \u2014\n\nRe MDA NO/NOx Field Kit\n\nMDA requires prepayment before shipment\nof materials to private individuals. Accordingly\nI mailed check for $2505.00 for Kit yesterday.\nCopies for verification are enclosed. I presume\nthis will suffice to reimburse me.\n\nAs soon as MDA receives check, presumably\nJuly 20, Kit will be shipped to me by UPS and\nI will immediately trans ship by UPS to\nyou.\n\nCongrats on the birth of your son. Best wishes\nto Mrs Osdene and you.\n\n\u03a6000018736\n\nSincerely\nMurray", "predicted": "2516 Country Club Rd.\n Winston Salem NC 27104\n July 17, 1981\nDr TS Osdene\nDirector of Research and Scientific Affairs\nPHILIP MORRIS USA\nResearch Center\nP.O Box 26583\nRichmond VA 23261\n\nDear Tom -\n Re MDA NO/NOx Field Kit\n\n MDA requires prepayment before shipment\nof materials to private individuals. Accordingly\nI mailed check for $ 2505 00 for kit yesterday.\nCopies for verification are enclosed. I presume\nthis will suffice to reimburse me.\n As soon as MDA receives check, presumably\nJuly 20, kit will be shipped to me by UPS and\nI will immediately trans ship by UPS to\nyou.\n Congrats on the birth of your son. Best wishes\nto Mrs Osdene and you. 1000018736\n\n Sincerely\n Murray", "correct": true, "input_tokens": 1161, "output_tokens": 2246, "elapsed_seconds": 41.644879000028595, "metadata": {"question": "Transcribe all handwritten and printed text exactly as written, reading top to bottom and left to right, and omit nothing; mark only genuinely unreadable words as [illegible]. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9735, "attempts": 1, "retries": 0, "total_seconds": 41.6623}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 3, "image": "bfe2208e-9dcb-4273-9781-be20d0ae766a_png.rf.2506b1cf22374cc1de2823bf766ef968.jpg", "expected": "Ent 103326 Bk 331 Pg 470\nDate: 20-JUN-2006 2:28PM\nORDINANCE NO. CO-06-5 Fee: None\nFiled By: AKT\nBRENDA NELSON, Recorder\nMORGAN COUNTY\nAN ORDINANCE ADOPTING THE STATE WILDLIFE RESOURCES CODE\nFOR MORGAN COUNTY.\n\nWHEREAS, the Morgan County Sheriff's Office is charged with the enforcement of\nregulations and laws relating to wildlife resources within Morgan County; and\n\nWHEREAS, in the course of the Sheriff's enforcement duties it is often necessary to cite\nindividuals for violations of the various state rules regulating wildlife resources; and\n\nWHEREAS, Morgan County would like to cite violators for county ordinance violations\nrather than state code violations since violators are processed by county enforcement officers,\nprosecuted in county courts by county prosecutors, and incarcerated, if necessary, in county jails;\n\nNOW THEREFOR, the County Council of Morgan County, State of Utah, hereby\nordains as follows:\n\nWILDLIFE RESOURCES ORDINANCE\n\nSection 1. Adoption of the Utah wildlife resources Code, Rules and Regulations\n\nThe Rules and Regulations contained in Utah Code Annotated Title 23, as amended, and the\nRules promulgated thereunder, are hereby adopted as the wildlife resources Code, Rules and\nRegulations of Morgan County. Any provisions of Title 23 providing a penalty greater than a\nClass B misdemeanor, or not relating to criminal or administrative sanctions, are not incorporated\nas part of this ordinance.\n\nSection 2. Amendments\n\nIn order to assure continuing uniformity between the Utah wildlife resources Rules and\nRegulations and the Morgan County wildlife resources Rules and Regulations, this Ordinance\nwill include any and all periodic amendments to the State Rules and Regulations, Title 23, after\nthe effective date of this title, made by the Utah State Legislature or by the Utah Department of\nNatural Resources.\n\nSection 3. Effective Date\n\nThis ordinance shall take effect 15 days after passage, after required publication and after a copy\nof the ordinance is deposited with the Morgan County Clerk's Office.\n\nAPPROVED, ADOPTED, AND PASSED and ordered published by the Morgan County\nCouncil, this 6th day of June, 2006.", "predicted": "Ent 103326 Bk 231 Pg 470\nDate: 20-JUN-2006 2:28PM\nFee: None\nFiled By: AKT\nBRENDA NELSON, Recorder\nMORGAN COUNTY\nFor: MORGAN COUNTY\n\nORDINANCE NO. CO-06-11\n\nAN ORDINANCE ADOPTING THE STATE WILDLIFE RESOURCES CODE\nFOR MORGAN COUNTY.\n\n WHEREAS, the Morgan County Sheriff's Office is charged with the enforcement of\nregulations and laws relating to wildlife resources within Morgan County; and\n\n WHEREAS, in the course of the Sheriff's enforcement duties it is often necessary to cite\nindividuals for violations of the various state rules regulating wildlife resources; and\n\n WHEREAS, Morgan County would like to cite violators for county ordinance violations\nrather than state code violations since violators are processed by county enforcement officers,\nprosecuted in county courts by county prosecutors, and incarcerated, if necessary, in county jails;\n\n NOW THEREFOR, the County Council of Morgan County, State of Utah, hereby\nordains as follows:\n\nWILDLIFE RESOURCES ORDINANCE\n\nSection 1. Adoption of the Utah wildlife resources Code, Rules and Regulations\n\nThe Rules and Regulations contained in Utah Code Annotated Title 23, as amended, and the\nRules promulgated thereunder, are hereby adopted as the wildlife resources Code, Rules and\nRegulations of Morgan County. Any provisions of Title 23 providing a penalty greater than a\nClass B misdemeanor, or not relating to criminal or administrative sanctions, are not incorporated\nas part of this ordinance.\n\nSection 2. Amendments\n\nIn order to assure continuing uniformity between the Utah wildlife resources Rules and\nRegulations and the Morgan County wildlife resources Rules and Regulations, this Ordinance\nwill include any and all periodic amendments to the State Rules and Regulations, Title 23, after\nthe effective date of this title, made by the Utah State Legislature or by the Utah Department of\nNatural Resources.\n\nSection 3. Effective Date\n\nThis ordinance shall take effect 15 days after passage, after required publication and after a copy\nof the ordinance is deposited with the Morgan County Clerk's Office.\n\n APPROVED, ADOPTED, AND PASSED and ordered published by the Morgan County\nCouncil, this 6th day of June , 2006.", "correct": true, "input_tokens": 1168, "output_tokens": 2541, "elapsed_seconds": 26.482675457955338, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9665, "attempts": 1, "retries": 0, "total_seconds": 26.5136}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 4, "image": "d6b410b8-2381-4e65-8113-2dbcca295990_png.rf.794671b291d105d363ebd6d8d93b3fc8.jpg", "expected": "THIS SENTENCE WAS WRITTEN BY SOMEONE WITH DYSGRAPHIA", "predicted": "THIS SENTENCE WAS WRITTEN BY SOM\n EONE WITH Dysgraphia", "correct": false, "input_tokens": 1181, "output_tokens": 835, "elapsed_seconds": 14.51559141697362, "metadata": {"question": "Transcribe all handwritten and printed text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.7963, "attempts": 1, "retries": 0, "total_seconds": 14.5285}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 5, "image": "9c225ac4-3b44-42cf-a0dc-4a3984c5bac9_png.rf.1455a695dcdb15839a0deb51bf270c04.jpg", "expected": "When I built menugen ~1 year ago, I observed that the hardest part by far was not the code itself, it was the plethora of services you have to assemble like IKEA furniture to make it real, the DevOps: services, payments, auth, database, security, domain names, etc...\n\nI am really looking forward to a day where I could simply tell my agent: \"build menugen\" (referencing the post) and it would just work. The whole thing up to the deployed web page. The agent would have to browse a number of services, read the docs, get all the api keys, make everything work, debug it in dev, and deploy to prod. This is the actually hard part, not the code itself. Or rather, the better way to think about it is that the entire DevOps lifecycle has to become code, in addition to the necessary sensors/actuators of the CLIs/APIs with agent-native ergonomics. And there should be no need to visit web pages, click buttons, or anything like that for the human.\n\nIt's easy to state, it's now just barely technically possible and expected to work maybe, but it definitely requires from-scratch re-design, work and thought. Very exciting direction!", "predicted": "Andrej Karpathy\n@karpathy\n\nWhen I built menugen ~1 year ago, I observed that the hardest part by far\nwas not the code itself, it was the plethora of services you have to\nassemble like IKEA furniture to make it real, the DevOps: services,\npayments, auth, database, security, domain names, etc...\n\nI am really looking forward to a day where I could simply tell my agent:\n\"build menugen\" (referencing the post) and it would just work. The whole\nthing up to the deployed web page. The agent would have to browse a\nnumber of services, read the docs, get all the api keys, make everything\nwork, debug it in dev, and deploy to prod. This is the actually hard part,\nnot the code itself. Or rather, the better way to think about it is that the\nentire DevOps lifecycle has to become code, in addition to the necessary\nsensors/actuators of the CLIs/APIs with agent-native ergonomics. And\nthere should be no need to visit web pages, click buttons, or anything\nlike that for the human.\n\nIt's easy to state, it's now just barely technically possible and expected\nto work maybe, but it definitely requires from-scratch re-design, work\nand thought. Very exciting direction!", "correct": true, "input_tokens": 1173, "output_tokens": 2058, "elapsed_seconds": 21.1864516249625, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom, keeping each author's handle with their message, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the top-level tweet authored by Andrej Karpathy (@karpathy).", "match_method": "similarity", "score": 0.9646, "attempts": 1, "retries": 0, "total_seconds": 21.2005}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 6, "image": "9fdae0ac-7d89-45f1-b628-bcdbac72c185_png.rf.7b62d1c22ac071a0003f46d2feaae5e5.jpg", "expected": "```javascript\nconst BROWSER_APP_NAMES = new Set([\n \"google chrome\",\n \"google chrome canary\",\n \"chromium\",\n \"microsoft edge\",\n \"mozilla firefox\",\n \"firefox\",\n \"opera\",\n \"brave browser\",\n \"vivaldi\",\n \"arc\",\n]);\n```", "predicted": "```javascript\nconst BROWSER_APP_NAMES = new Set([\n \"google chrome\",\n \"google chrome canary\",\n \"chromium\",\n \"microsoft edge\",\n \"mozilla firefox\",\n \"firefox\",\n \"opera\",\n \"brave browser\",\n \"vivaldi\",\n \"arc\",\n]);\n```", "correct": false, "input_tokens": 1219, "output_tokens": 674, "elapsed_seconds": 9.100699458038434, "metadata": {"question": "Transcribe every piece of text in this screenshot exactly as written, in reading order, and omit nothing. Put source code inside fenced code blocks, preserving indentation, quotes, and casing exactly, and transcribe surrounding interface text as Markdown. Transcribe only the definition of the `BROWSER_APP_NAMES` constant shown in the code editor, and ignore all other code, the editor chrome, file tabs, sidebars, and the terminal.", "match_method": "similarity", "score": 0.9107, "attempts": 1, "retries": 0, "total_seconds": 9.1287}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 7, "image": "5cf55f37-8adb-4adb-9520-148340548028_png.rf.d09a7340877434f1cbdb25f1eccd4774.jpg", "expected": "TOM GREEN HANDYMAN\n5 Any Street, Any City, That Area Code\nTelephone: 0800 XXX XXX\n\nDate : 6/5/2016\nInvoice No : 0003521\nTax Registered No 123456\n\nMr and Mrs Fielding\nThis Address\nThis City\nThis Area Code\n\nTAX INVOICE\n\n
QuantityDescriptionUnit PriceCost
Upgrade to Bathroom
23.75Labour40.00950.00
50Nails and screws0.8040.00
1Paint and Plywood1000.001000.00
40Imported wall tiles14.00560.00
1Freight150.00150.00
1Sub-contractor : Tile-It228.00
Subtotal2928.00
Tax439.20
Total Due$3,367.20
\n\nPayment due by the 10th of the month following the date of invoice.\nPlease make payment into Bank Account No. 12 3456 789112 012\n\nInterest of 10% per year will be charged on late payments.\n\nCut here\n\nRemittance\n\nMr and Mrs Fielding\n\nTOM GREEN HANDYMAN\n5 Any Street\nAny City\nThat Area Code\n\nAmount Due $3,367.20\nAmount Paid ______", "predicted": "TOM GREEN HANDYMAN\n5 Any Street, Any City, That Area Code\nTelephone: 0800 XXX XXX\n\nDate : 6/5/2016 Invoice No : 0003521\n\nTax Registered No 123456\nMr and Mrs Fielding\nThis Address\nThis City\nThis Area Code\n\nTAX INVOICE\n\n\n\n\n\n\n\n\n\n\n\n\n\n
QuantityDescriptionUnit PriceCost
Upgrade to Bathroom
23.75Labour40.00950.00
50Nails and screws0.8040.00
1Paint and Plywood1000.001000.00
40Imported wall tiles14.00560.00
1Freight150.00150.00
1Sub-contractor : Tile-It228.00
Subtotal2928.00
Tax439.20
Total Due$3,367.20
\n\nPayment due by the 10th of the month following the date of invoice.\nPlease make payment into Bank Account No. 12 3456 789112 012\n\nInterest of 10% per year will be charged on late payments.\n\nCut here\nRemittance\nMr and Mrs Fielding\nTOM GREEN HANDYMAN\n5 Any Street Amount Due $3,367.20\nAny City\nThat Area Code Amount Paid", "correct": false, "input_tokens": 1194, "output_tokens": 3957, "elapsed_seconds": 41.76880262501072, "metadata": {"question": "Transcribe all text in this document exactly and completely, in reading order, preserving casing, punctuation, currency symbols, and codes. Use an HTML table only for genuinely tabular content, mirroring its rows, columns, and merged cells; write the HTML on single lines with no indentation or blank lines between tags, and collapse horizontal alignment to a single space.", "match_method": "similarity", "score": 0.9484, "attempts": 1, "retries": 0, "total_seconds": 41.7832}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 8, "image": "1bce4a54-e6bc-4752-b48e-d9889895936a_png.rf.6f12b4139eeac41161f2fb59dad48237.jpg", "expected": "I run hermes handling whatsapp, email, cron jobs, building apps, outreaching customers, outbound and inbound calls \u2014 the whole thing. hasn't needed babysitting in weeks. if you're on the fence just try it. worst case you go back. but I don't think you will", "predicted": "Falcon @Falconve_ \u00b7 6\u5c0f\u65f6\nI run hermes handling whatsapp, email, cron jobs, building apps,\noutreaching customers, outbound and inbound calls \u2014 the whole thing.\nhasn't needed babysitting in weeks. if you're on the fence just try it. worst\ncase you go back. but I don't think you will", "correct": false, "input_tokens": 1159, "output_tokens": 825, "elapsed_seconds": 21.022591667016968, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom, keeping each author's handle with their message, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the last (bottom-most) tweet in the thread by Falcon (@Falconve_).", "match_method": "similarity", "score": 0.9036, "attempts": 1, "retries": 0, "total_seconds": 21.0547}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 9, "image": "eb592312-33c0-41ff-91ec-6e87ad25f12e_png.rf.ad80ac2d57c33733bd20600e13e312f3.jpg", "expected": "(SAE09TR.72) A 13-year-old girl sustained an isolated midshaft left femoral fracture in a motor vehicle accident. The fracture was treated with a rigid, antegrade intramedullary nail placed through the piriformis fossa. The fracture healed uneventfully, as shown in Figure 46a; however, at 12 months postoperatively she now reports left hip pain. A current AP radiograph and MRI scan are shown in Figures 46b and 46c. What complication occurred in this patient? Review Topic\n\n1 Chondrolysis\n2 Ischemic necrosis of the femoral head\n3 Ischemic necrosis of the greater trochanter\n4 Femoral neck fracture\n5 Trochanteric overgrowth\n\nPREFERRED RESPONSE 2\n\nThe development of femoral head ischemic necrosis is the iatrogenically created complication in this skeletally immature patient. Placement of a rigid, antegrade intramedullary nail through the piriformis fossa is likely to damage the vascular supply to the femoral head as the vessels ascend the femoral neck on the way to the femoral head. The MRI scan reveals ischemic necrosis with early collapse of the femoral head. The joint space is preserved on the MRI scan, ruling out chondrolysis.\n\n(SAE08OS.196) An adult patient has had low-grade fevers, malaise, and joint pain for the past several days. Examination reveals an erythematous \"bulls eye\" rash over the right thigh (erythema migrans). What is the organism associated with this infection? Review Topic", "predicted": "(SAE09TR.72) A 13-year-old girl sustained an isolated midshaft left femoral fracture in a motor vehicle accident. The fracture was treated with a rigid, antegrade intramedullary nail placed through the piriformis fossa. The fracture healed uneventfully, as shown in Figure 46a; however, at 12 months postoperatively she now reports left hip pain. A current AP radiograph and MRI scan are shown in Figures 46b and 46c. What complication occurred in this patient? Review Topic\n\n1 Chondrolysis\n2 Ischemic necrosis of the femoral head\n3 Ischemic necrosis of the greater trochanter\n4 Femoral neck fracture\n5 Trochanteric overgrowth\n\n\nPREFERRED RESPONSE 2\n\nThe development of femoral head ischemic necrosis is the iatrogenically created complication in this skeletally immature patient. Placement of a rigid, antegrade intramedullary nail through the piriformis fossa is likely to damage the vascular supply to the femoral head as the vessels ascend the femoral neck on the way to the femoral head. The MRI scan reveals ischemic necrosis with early collapse of the femoral head. The joint space is preserved on the MRI scan, ruling out chondrolysis.\n\n\n(SAE08OS.196) An adult patient has had low-grade fevers, malaise, and joint pain for the past several days. Examination reveals an erythematous \"bulls eye\" rash over the right thigh (erythema migrans). What is the organism associated with this infection? Review Topic", "correct": true, "input_tokens": 1169, "output_tokens": 1211, "elapsed_seconds": 14.768162624910474, "metadata": {"question": "Transcribe every piece of text in this image exactly as written, in reading order, preserving question and option numbering, and omit nothing. Write mathematical expressions in LaTeX and format the result as Markdown that mirrors the layout.", "match_method": "similarity", "score": 0.9986, "attempts": 1, "retries": 0, "total_seconds": 14.8055}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 10, "image": "c50bed4d-e825-46b7-ac5c-a84806fa0481_png.rf.dbad52cae24c6759d646ebb0ad6c30a3.jpg", "expected": "```python\nimport random\n\ndef roll_dice(n=2, sides=6):\n return [random.randint(1, sides) for _ in range(n)]\n\ndef magic_8ball():\n responses = [\n \"Yes\", \"No\", \"Maybe\", \"Ask again later\",\n \"Absolutely\", \"No way\", \"Signs point to yes\",\n \"Don't count on it\", \"Without a doubt\",\n ]\n return random.choice(responses)\n\nif __name__ == \"__main__\":\n print(f\"Rolling 2 dice: {roll_dice()}\")\n print(f\"Magic 8-Ball says: {magic_8ball()}\")\n print(f\"Your lucky number: {random.randint(1, 100)}\")\n```", "predicted": "```python\nimport random\n\ndef roll_dice(n=2, sides=6):\n return [random.randint(1, sides) for _ in range(n)]\n\ndef magic_8ball():\n responses = [\n \"Yes\", \"No\", \"Maybe\", \"Ask again later\",\n \"Absolutely\", \"No way\", \"Signs point to yes\",\n \"Don't count on it\", \"Without a doubt\",\n ]\n return random.choice(responses)\n\nif __name__ == \"__main__\":\n print(f\"Rolling 2 dice: {roll_dice()}\")\n print(f\"Magic 8-Ball says: {magic_8ball()}\")\n print(f\"Your lucky number: {random.randint(1, 100)}\")\n```", "correct": true, "input_tokens": 1171, "output_tokens": 1032, "elapsed_seconds": 32.46737883309834, "metadata": {"question": "Transcribe every piece of text in this screenshot exactly as written, in reading order, and omit nothing. Put source code inside fenced code blocks, preserving indentation, quotes, and casing exactly, and transcribe surrounding interface text as Markdown. Transcribe only the code shown in the editor pane, ignoring the editor chrome, file tabs, sidebars, and the line-number gutter.", "match_method": "similarity", "score": 1.0, "attempts": 1, "retries": 0, "total_seconds": 32.5845}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 11, "image": "d0980bab-2f15-4550-b3e6-813a2ad7e709_png.rf.4002baedf14c91e52686c70ec58fd7f0.jpg", "expected": "Example 3 (HW)\nEach of the numbers 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 is written\non a separate piece of paper. The 10 pieces of paper\nare then placed in a hat. If one piece of paper is\nselected at random from hat, estimate the probability\nthat:\n(i) the number written on piece of paper is an even\nnumber or greater than 6.\n(ii) the number written on piece of paper is less than 5\nor greater than 8.\n(iii) the number written on piece of paper is divisible by 4.\n(iv) the \" \" \" \" \" \" \" at least 7.\n(v) \" \" \" \" \" \" \" at most 3.", "predicted": "Example 3 (HW)\nEach of the numbers 1,2,3,4,5,6,7,8,9,10 is written\non a separate piece of paper. The 10 pieces of paper\nare then placed in a hat. If one piece of paper is\nselected at random from hat, estimate the probability\n that:\n(i) the number written on piece of paper is an even\n number or greater than 6.\n(ii) the number written on piece of paper is less than 5\n or greater than 8.\n(iii) the number written on piece of paper is divisible by 4.\n(iv) the \" \" \" \" \" \" \" at least 7.\n(v) \" \" \" \" \" \" \" \" at most 3.\nCS Scanned with CamScanner", "correct": false, "input_tokens": 1180, "output_tokens": 2032, "elapsed_seconds": 42.778064500074834, "metadata": {"question": "Transcribe all handwritten and printed text exactly as written, reading top to bottom and left to right, and omit nothing; mark only genuinely unreadable words as [illegible]. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9244, "attempts": 1, "retries": 0, "total_seconds": 42.8391}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 12, "image": "00099ca8-7388-4ccb-a9ae-0def0f38e1d4_png.rf.87454ebaa2a188c18aadac0664ef70f6.jpg", "expected": "I'm losing so much money every single second I dont spend in the states. Every day I wake up, I'm hyperventilating about the fact that I am irresponsibly putting my young family's future at great risk because I can't but help listen to my gut. I am filled with doubt every day", "predicted": "kache @yacineMTB \u00b7 9\u5c0f\u65f6\nI'm losing so much money every single second I dont spend in the states.\nEvery day I wake up, I'm hyperventilating about the fact that I am\nirresponsibly putting my young family's future at great risk because I can't\nbut help listen to my gut. I am filled with doubt every day\n stainlesssteelcockroach @stainle55446702 \u00b7 10\u5c0f\u65f6\n \u56de\u590d @yacineMTB\n You would like it down south as well. Where engineers are honored as\n the future.....\n40 1 248 2.5\u4e07", "correct": false, "input_tokens": 1188, "output_tokens": 3514, "elapsed_seconds": 40.4578503749799, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom, keeping each author's handle with their message, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the first tweet by kache (@yacineMTB).", "match_method": "similarity", "score": 0.5884, "attempts": 1, "retries": 0, "total_seconds": 40.4758}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 13, "image": "838b00ad-2a6d-4bc7-84a3-d3cb3e6fdfb8_png.rf.86b85c55a59bba487946e192adc78406.jpg", "expected": "The French Revolution began in 1789 in France and was caused by several political, social, and economic factors. One major cause was the inequality in the social structure known as the Estates System, where the clergy and nobility enjoyed privileges while the common people had to pay heavy taxes. Another cause was the financial crisis faced by the monarchy due to wars and extravagant spending by Louis XVI and the royal court.\n\nThe influence of Enlightenment thinkers also played a significant role. Philosophers like Jean-Jacques Rousseau and Voltaire promoted ideas of liberty, equality, and popular sovereignty. These ideas encouraged people to question the authority of the monarchy.\n\nThe revolution had major effects on French society and politics. The monarchy was abolished, and France eventually became a republic. The revolution led to the Reign of Terror, during which many people were executed. In the long term, the revolution spread the ideals of liberty, equality, and fraternity across Europe and influenced many future democratic movements.", "predicted": "The French Revolution began in 1789 in France and was caused by several political, social, and economic factors. One major cause was the\ninequality in the social structure known as the Estates System, where the clergy and nobility enjoyed privileges while the common people had\nto pay heavy taxes. Another cause was the financial crisis faced by the monarchy due to wars and extravagant spending by Louis XVI and the\nroyal court.\n\nThe influence of Enlightenment thinkers also played a significant role. Philosophers like Jean-Jacques Rousseau and Voltaire promoted ideas\nof liberty, equality, and popular sovereignty. These ideas encouraged people to question the authority of the monarchy.\n\nThe revolution had major effects on French society and politics. The monarchy was abolished, and France eventually became a republic. The\nrevolution led to the Reign of Terror, during which many people were executed. In the long term, the revolution spread the ideals of\nliberty, equality, and fraternity across Europe and influenced many future democratic movements.", "correct": true, "input_tokens": 1140, "output_tokens": 743, "elapsed_seconds": 8.920067582977936, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9943, "attempts": 1, "retries": 0, "total_seconds": 8.9317}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 14, "image": "efe6537c-b164-43c1-8a9b-a329c7b96ec1_png.rf.96d23b9a67c8c503dd57cc8ddb11363b.jpg", "expected": "Clinical Nurse Manager Sep 2012 \u2013 Jul 2014\nBarron Center \u2013 Portland, ME\nManaged nursing operations on a 26-bed skilled rehabilitation unit, ensuring effective clinical care delivery.\n\u2022 Supervised nursing staff performance and provided ongoing competency evaluations.\n\u2022 Developed individualized care plans in collaboration with physicians and rehabilitation teams.\n\u2022 Implemented policies and procedures to meet regulatory and accreditation requirements.\n\nRegistered Nurse, Medical-Surgical Unit (Float Pool) Jun 2012 \u2013 Sep 2012\nMercy Hospital \u2013 Portland, ME\nProvided direct patient care within medical-surgical units, ensuring safe and effective treatment delivery.\n\u2022 Performed comprehensive physical assessments and monitored patient progress.\n\u2022 Administered medications and documented interventions per hospital protocols.\n\u2022 Collaborated with multidisciplinary teams to coordinate and plan care.\n\nEDUCATION, CERTIFICATIONS & LICENSURE\n\nBachelor of Science in Nursing (BSN)\nWestern Governors University, Salt Lake City, UT | Graduated January 2019\n\nAssociate of Science in Nursing (ASN)\nCollege of Nursing and Health Professions, Lewiston, ME | Graduated May 2010\n\nCertifications & Licensure\n\u2022 Registered Nurse (RN License #R057634) \u2013 State of Maine\n\u2022 Basic Life Support (BLS) \u2013 Current through December 2027\n\u2022 Educated in: Accountable Care Organizations (ACOs), Patient-Driven Payment Model (PDPM)\n\u2022 Clinical Systems Proficiency: Cerner / PowerChart, EPIC, Quantum, PointClickCare\n\u2022 Utilization Review Tools: InterQual, NaviHealth, CarePort\n\u2022 Analytics & Administrative Systems: Salesforce, Tableau, Microsoft Excel & PowerPoint, ADP, SAP Concur\n\nSKILLS & ADDITIONAL INFORMATION\n\nTechnical Skills\n\u2022 Clinical Systems & EMRs: Cerner / PowerChart, EPIC, Quantum, PointClickCare\n\u2022 Utilization Management Tools: InterQual, NaviHealth, CarePort\n\u2022 Data & Analytics Platforms: Tableau, Salesforce\n\u2022 Productivity Software: Microsoft Office Suite (Excel, PowerPoint, Word, Outlook)\n\u2022 Administrative Systems: ADP, SAP Concur\n\u2022 Quality & Compliance Tools: Electronic Health Record Audit Systems, Core Measure Review PlatformDedicated and results-\ndriven Recruiter/Talent Acquisition Specialist.\n\nPersonal Strengths\n\u2022 Strong leadership and team mentorship abilities\n\u2022 Critical thinking and complex problem-solving\n\u2022 Effective interdisciplinary communication and collaboration\n\u2022 Process improvement and workflow optimization\n\u2022 Independent and solution-focused decision-making\n\u2022 High attention to detail and documentation accuracy\n\u2022 Adaptable to evolving healthcare technologies and remote environments\n\u2022 Empathetic approach to patient advocacy and care coordination\n\nReferences are available upon request", "predicted": "Clinical Nurse Manager Sep 2012 \u2013 Jul 2014\nBarron Center \u2013 Portland, ME\nManaged nursing operations on a 26-bed skilled rehabilitation unit, ensuring effective clinical care delivery.\n \u2022 Supervised nursing staff performance and provided ongoing competency evaluations.\n \u2022 Developed individualized care plans in collaboration with physicians and rehabilitation teams.\n \u2022 Implemented policies and procedures to meet regulatory and accreditation requirements.\n\nRegistered Nurse, Medical-Surgical Unit (Float Pool) Jun 2012 \u2013 Sep 2012\nMercy Hospital \u2013 Portland, ME\nProvided direct patient care within medical-surgical units, ensuring safe and effective treatment delivery.\n \u2022 Performed comprehensive physical assessments and monitored patient progress.\n \u2022 Administered medications and documented interventions per hospital protocols.\n \u2022 Collaborated with multidisciplinary teams to coordinate and plan care.\n\nEDUCATION, CERTIFICATIONS & LICENSURE\n\nBachelor of Science in Nursing (BSN)\nWestern Governors University, Salt Lake City, UT | Graduated January 2019\n\nAssociate of Science in Nursing (ASN)\nCollege of Nursing and Health Professions, Lewiston, ME | Graduated May 2010\n\nCertifications & Licensure\n \u2022 Registered Nurse (RN License #R057634) \u2013 State of Maine\n \u2022 Basic Life Support (BLS) \u2013 Current through December 2027\n \u2022 Educated in: Accountable Care Organizations (ACOs), Patient-Driven Payment Model (PDPM)\n \u2022 Clinical Systems Proficiency: Cerner / PowerChart, EPIC, Quantum, PointClickCare\n \u2022 Utilization Review Tools: InterQual, NaviHealth, CarePort\n \u2022 Analytics & Administrative Systems: Salesforce, Tableau, Microsoft Excel & PowerPoint, ADP, SAP Concur\n\nSKILLS & ADDITIONAL INFORMATION\n\nTechnical Skills\n \u2022 Clinical Systems & EMRs: Cerner / PowerChart, EPIC, Quantum, PointClickCare\n \u2022 Utilization Management Tools: InterQual, NaviHealth, CarePort\n \u2022 Data & Analytics Platforms: Tableau, Salesforce\n \u2022 Productivity Software: Microsoft Office Suite (Excel, PowerPoint, Word, Outlook)\n \u2022 Administrative Systems: ADP, SAP Concur\n \u2022 Quality & Compliance Tools: Electronic Health Record Audit Systems, Core Measure Review PlatformDedicated and results-\n driven Recruiter/Talent Acquisition Specialist.\n\nPersonal Strengths\n \u2022 Strong leadership and team mentorship abilities\n \u2022 Critical thinking and complex problem-solving\n \u2022 Effective interdisciplinary communication and collaboration\n \u2022 Process improvement and workflow optimization\n \u2022 Independent and solution-focused decision-making\n \u2022 High attention to detail and documentation accuracy\n \u2022 Adaptable to evolving healthcare technologies and remote environments\n \u2022 Empathetic approach to patient advocacy and care coordination\n\n References are available upon request", "correct": true, "input_tokens": 1178, "output_tokens": 2488, "elapsed_seconds": 29.266364166978747, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9897, "attempts": 1, "retries": 0, "total_seconds": 29.2862}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 15, "image": "e21e8de4-67cb-4b99-acaf-7c73dc28df9f_png.rf.c9c271f7c9fe67f7186ee45aebf42a40.jpg", "expected": "ACS PLUS\n\nADVERTISING COMMUNICATION SERVICES\n\nBloc 17 App 233 1003 Cit\u00e9 les Olympiades\n\nTEL 71 771 324 FAX 71 770 682\n\nCode TVA1243006M/A/M/000\n\nEmail: acs.info@topnet.tn\n\nDEVIS N\u00b0 89-24\n\nClient: IEEE\n\nCode TVA:\n\nAdresse:\n\nT\u00e9l: Fax:\n\nTunis le 12/04/24\n\nCCB : 03210119011500465159A BNA KHERREDINE PACHA\n\n
R\u00e9f\u00e9renceD\u00e9signationQuantit\u00e9P. U.T.V.A.P.H.T.
Rollup 2 x 0,851170.00019%170.000
Pins1201.40019%168.000
Affiche A4 120 g impression R/V301.00019%30.000
Total H.T.368.000
Remise
Total HT368.000
\n\n
Total T.V.A. 10%
Total T.V.A. 7%
Total T.V.A. 19%69.920
Total T.V.A. 29%
Timbre Fiscal1.000
Total T.T.C.438.920
\n\n,\n\nArr\u00eat\u00e9 le pr\u00e9sent devis \u00e0 la somme de:\n\nDIRECTION COMMERCIALE", "predicted": "ACS PLUS\nADVERTISING COMMUNICATION SERVICES\nBloc 17 App 233 1003 Cit\u00e9 les Olympiades\nTEL 71 771 324 FAX 71 770 682\nCode TVA1243006M/A/M/000\nEmail: acs.info@topnet.tn\n\nDEVIS N\u00b0 89-24\n\nClient: IEEE\nCode TVA:\nAdresse:\nT\u00e9l: Fax:\n\nTunis le 12/04/24\n\nCCB : 03210119011500465159A BNA KHERREDINE PACHA\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
R\u00e9f\u00e9renceD\u00e9signationQuantit\u00e9P. U.T.V.A.P.H.T.
Rollup 2 x 0,851170.00019%170.000
Pins1201.40019%168.000
Affiche A4 120 g impression R/V301.00019%30.000
Total H.T.368.000
Remise
Total HT368.000
Total T.V.A. 10%
Total T.V.A. 7%
Total T.V.A. 19%69.920
Total T.V.A. 29%
Timbre Fiscal1.000
Total T.T.C.438.920
\n\n,\nArr\u00eat\u00e9 le pr\u00e9sent devis \u00e0 la somme de:\n\nDIRECTION COMMERCIALE", "correct": false, "input_tokens": 1194, "output_tokens": 4004, "elapsed_seconds": 49.31251408311073, "metadata": {"question": "Transcribe all text in this document exactly and completely, in reading order, preserving casing, punctuation, currency symbols, and codes. Use an HTML table only for genuinely tabular content, mirroring its rows, columns, and merged cells; write the HTML on single lines with no indentation or blank lines between tags, and collapse horizontal alignment to a single space.", "match_method": "similarity", "score": 0.8717, "attempts": 1, "retries": 0, "total_seconds": 49.3224}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 16, "image": "280f2634-897d-499e-9e0e-2426fb6ed193_png.rf.de84ffe2f1cd78e0c4f16f319320c449.jpg", "expected": "Deloitte.\n\nDeloitte Touche Tohmatsu\nIndia LLP\nPrestige Trade Tower, Level 19\n46, Palace Road, High Grounds\nBengaluru - 560 001\nKarnataka, India\n\nTel: +91 80 6188 6000\nFax: +91 80 6188 6011\nwww.deloitte.com\n\nStrictly Private and Confidential\n\nDate: 8 July, 2025\n\nFlipkart Internet Private Limited\nAlyssa Begonia and Clover,\nEmbassy Tech Village ORR,\nDevarabeesanahalli Village,\nVarthur Hobli, Bangalore - 560103, Karnataka\n\nKind Attention: Mr. Kamal Chopra\n\nDear Sir,\n\nRe: Indirect Tax Services \u2013 Engagement Letter\n\nWe thank you for giving an opportunity to Deloitte Touche Tohmatsu India LLP (\u201cDTTI LLP\u201d or \u201cService Provider\u201d) to assist FLIPKART INTERNET PRIVATE LIMITED (\u201cClient\u201d/\u201dFKN\u201d/\u201dCompany\u201d) in Indirect tax services (\u201cServices\u201d) for the benefit of the Client and the subsidiaries and/or Affiliates of the Client as specified in Annexure-2.\n\n(The identified subsidiaries and Affiliates in Annexure-2 together with the Client, are hereinafter collectively referred to as \u201cBeneficiary/(ies)\u201d). The Services will be provided in accordance with and subject to the provisions of this engagement letter (including any Work Orders/Statement of Work and Annexures 1, 2, 3, 4, 5 and 6 hereto) (\u201cEngagement Letter\u201d) and the Standard Tax Terms attached hereto (the Engagement Letter and Standard Tax Terms hereinafter are collectively referred to as collectively \u201cContract\u201d).\n\n1. BACKGROUND\n\n1.1 Flipkart Internet Private Limited is a company which owns the E-commerce portal \u201cFlipkart.com\u201d. It functions as a marketplace wherein various business entities can list their products in the website in return to a fee charged to use its portal.\n\n1.2 We further understand that the company receives revenue through payment gateway services, hosting services, advertisement services, etc and is also engaged in fulfilment services rendered to the sellers listed on the website.\n\n1.3 We would be glad to provide assistance, more specifically described in below paragraph(s).", "predicted": "Deloitte. Deloitte Touche Tohmatsu\nIndia LLP\nPrestige Trade Tower, Level 19\n46, Palace Road, High Grounds\nBengaluru - 560 001\nKarnataka, India\n\nTel: +91 80 6188 6000\nFax: +91 80 6188 6011\nwww.deloitte.com\n\nStrictly Private and Confidential\n\nDate: 8 July, 2025\n\nFlipkart Internet Private Limited\nAlyssa Begonia and Clover,\nEmbassy Tech Village ORR,\nDevarabeesanahalli Village,\nVarthur Hobli, Bangalore - 560103, Karnataka\n\nKind Attention: Mr. Kamal Chopra\n\nDear Sir,\n\nRe: Indirect Tax Services \u2013 Engagement Letter\n\nWe thank you for giving an opportunity to Deloitte Touche Tohmatsu India LLP (\u201cDTTI LLP\u201d or \u201cService\nProvider\u201d) to assist FLIPKART INTERNET PRIVATE LIMITED (\u201cClient\u201d/\u201dFKN\u201d/\u201dCompany\u201d) in Indirect tax\nservices (\u201cServices\u201d) for the benefit of the Client and the subsidiaries and/or Affiliates of the Client as\nspecified in Annexure-2.\n\n(The identified subsidiaries and Affiliates in Annexure-2 together with the Client, are hereinafter collectively\nreferred to as \u201cBeneficiary/(ies)\u201d). The Services will be provided in accordance with and subject to the\nprovisions of this engagement letter (including any Work Orders/Statement of Work and Annexures 1, 2, 3,\n4, 5 and 6 hereto) (\u201cEngagement Letter\u201d) and the Standard Tax Terms attached hereto (the Engagement\nLetter and Standard Tax Terms hereinafter are collectively referred to as collectively \u201cContract\u201d).\n\n1. BACKGROUND\n\n1.1 Flipkart Internet Private Limited is a company which owns the E-commerce portal \u201cFlipkart.com\u201d.\n It functions as a marketplace wherein various business entities can list their products in the website\n in return to a fee charged to use its portal.\n\n1.2 We further understand that the company receives revenue through payment gateway services,\n hosting services, advertisement services, etc and is also engaged in fulfilment services rendered to\n the sellers listed on the website.\n\n1.3 We would be glad to provide assistance, more specifically described in below paragraph(s).", "correct": true, "input_tokens": 1161, "output_tokens": 2472, "elapsed_seconds": 38.23240079195239, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9934, "attempts": 1, "retries": 0, "total_seconds": 38.2654}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 17, "image": "93441566-50c0-4bfb-9a31-437a2bc5e4f2_png.rf.cd5bf1f53754c220ec912b1c44ade759.jpg", "expected": "2\n3000\nCOUNTER +2000\nActivate:Main Once Per Turn You may add 1 card from your Life area to your hand: This Character gains +2000 power during this turn. Then, give this Character up to 2 rested DON!! cards.\nCHARACTER\nSanji\nStraw Hat Crew\nOP01-013", "predicted": "2 3000 \u6253\nSTRIKE\nCOUNTER +2000\nActivate:Main Once Per Turn You may add 1 card from\nyour Life area to your hand: This Character gains +2000\npower during this turn. Then, give this Character up to 2\nrested DON!! cards.\nCHARACTER\nSanji\nStraw Hat Crew OP01-013 R 1\n\u00a9E.O./S \u00a9E.O./S., T.A. BANDAI MADE IN JAPAN", "correct": false, "input_tokens": 1178, "output_tokens": 902, "elapsed_seconds": 12.353037292021327, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.7954, "attempts": 1, "retries": 0, "total_seconds": 12.3704}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 18, "image": "2e43ea51-fc34-4d42-8b0f-66b2172d81f7_png.rf.345ac976ac43b542da24279e8683876b.jpg", "expected": "Q.5\n\nLet $L_1$ be the line of intersection of the planes given by the equations\n\n$$2x + 3y + z = 4 \\quad \\text{and} \\quad x + 2y + z = 5.$$\n\nLet $L_2$ be the line passing through the point $P(2, -1, 3)$ and parallel to $L_1$. Let $M$ denote the plane given by the equation\n\n$$2x + y - 2z = 6.$$\n\nSuppose that the line $L_2$ meets the plane $M$ at the point $Q$. Let $R$ be the foot of the perpendicular drawn from $P$ to the plane $M$ .\n\nThen which of the following statements is (are) TRUE?\n\n| | |\n|---|---|\n| (A) | The length of the line segment $PQ$ is $9\\sqrt{3}$ |\n| (B) | The length of the line segment $QR$ is $15$ |\n| (C) | The area of $\\triangle PQR$ is $\\dfrac{3}{2}\\sqrt{234}$ |\n| (D) | The acute angle between the line segments $PQ$ and $PR$ is $\\cos^{-1}\\left(\\dfrac{1}{2\\sqrt{3}}\\right)$ |\n\nAnswer: A, C\n\n3/9", "predicted": "**Q.5** Let $L_1$ be the line of intersection of the planes given by the equations\n\n$$2x + 3y + z = 4 \\text{ and } x + 2y + z = 5 .$$\n\nLet $L_2$ be the line passing through the point $P(2, -1, 3)$ and parallel to $L_1$. Let $M$ denote the plane given by the equation\n\n$$2x + y - 2z = 6 .$$\n\nSuppose that the line $L_2$ meets the plane $M$ at the point $Q$. Let $R$ be the foot of the perpendicular drawn from $P$ to the plane $M$ .\n\nThen which of the following statements is (are) TRUE?\n\n| | |\n| :--- | :--- |\n| (A) | The length of the line segment $PQ$ is $9\\sqrt{3}$ |\n| (B) | The length of the line segment $QR$ is $15$ |\n| (C) | The area of $\\Delta PQR$ is $\\frac{3}{2}\\sqrt{234}$ |\n| (D) | The acute angle between the line segments $PQ$ and $PR$ is $\\cos^{-1}\\left(\\frac{1}{2\\sqrt{3}}\\right)$ |\n\n**Answer: A, C**\n\n---\n
3/9
", "correct": false, "input_tokens": 1184, "output_tokens": 1202, "elapsed_seconds": 13.19843262503855, "metadata": {"question": "Transcribe every piece of text in this image exactly as written, in reading order, preserving question and option numbering, and omit nothing. Write mathematical expressions in LaTeX and format the result as Markdown that mirrors the layout.", "match_method": "similarity", "score": 0.9189, "attempts": 1, "retries": 0, "total_seconds": 13.2157}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 19, "image": "8b690a3e-b9cd-48e1-a323-981e43142145_png.rf.84216f941b59ba17963217ea5bea26e9.jpg", "expected": "Question 37:\nConsider a system with six I/O-bound processes and one CPU-bound process. Each I/O-bound process executes for 1 ms before blocking for a 12 ms I/O operation. The context-switch overhead is 0.1 ms.\nUsing Round-Robin scheduling:\na. Time quantum = 1 ms\nb. Time quantum = 6 ms\nFor each case:\n\u2022 Draw the execution timeline.\n\u2022 Determine the average waiting time of the CPU-bound process.\n\u2022 Explain how the choice of quantum affects waiting time.\n\nQuestion 38:\nConsider a system with twelve I/O-bound tasks and one CPU-bound task. Each I/O-bound task runs for 1 ms before performing an 8 ms I/O operation.\nUsing Round-Robin scheduling:\na. Time quantum = 1 ms\nb. Time quantum = 4 ms\nFor each case:\n\u2022 Show the sequence of process execution.\n\u2022 Determine the average number of processes in the ready queue.\n\u2022 Explain how the quantum affects queue length.\n\nQuestion 39:\nConsider a system with eight I/O-bound tasks and two CPU-bound tasks. Each I/O-bound task requests an I/O operation after every 2 ms of CPU execution. Each I/O operation requires 12 ms. Using Round-Robin scheduling:\na. Time quantum = 2 ms\nb. Time quantum = 8 ms\nDetermine:\n\u2022 CPU utilization.\n\u2022 I/O device utilization.\n\u2022 Periods when the I/O device is idle.", "predicted": "Question 37:\nConsider a system with six I/O-bound processes and one CPU-bound process. Each I/O-bound\nprocess executes for 1 ms before blocking for a 12 ms I/O operation. The context-switch\noverhead is 0.1 ms.\nUsing Round-Robin scheduling:\n a. Time quantum = 1 ms\n b. Time quantum = 6 ms\nFor each case:\n \u2022 Draw the execution timeline.\n \u2022 Determine the average waiting time of the CPU-bound process.\n \u2022 Explain how the choice of quantum affects waiting time.\n\nQuestion 38:\nConsider a system with twelve I/O-bound tasks and one CPU-bound task. Each I/O-bound task\nruns for 1 ms before performing an 8 ms I/O operation.\nUsing Round-Robin scheduling:\n a. Time quantum = 1 ms\n b. Time quantum = 4 ms\nFor each case:\n \u2022 Show the sequence of process execution.\n \u2022 Determine the average number of processes in the ready queue.\n \u2022 Explain how the quantum affects queue length.\n\nQuestion 39:\nConsider a system with eight I/O-bound tasks and two CPU-bound tasks. Each I/O-bound task\nrequests an I/O operation after every 2 ms of CPU execution. Each I/O operation requires 12\nms. Using Round-Robin scheduling:\n a. Time quantum = 2 ms\n b. Time quantum = 8 ms\nDetermine:\n \u2022 CPU utilization.\n \u2022 I/O device utilization.\n \u2022 Periods when the I/O device is idle.", "correct": false, "input_tokens": 1162, "output_tokens": 1293, "elapsed_seconds": 29.801618250086904, "metadata": {"question": "Transcribe every piece of text in this image exactly as written, in reading order, preserving question and option numbering, and omit nothing. Output as plain text but preserve the visual structure. Do not add any extra markdown styling.", "match_method": "similarity", "score": 0.9495, "attempts": 1, "retries": 0, "total_seconds": 29.8123}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 20, "image": "056e17c9-9b46-496a-9cf8-c1b54bd73216_png.rf.ad6da03e5299b085ff446174b8c6cc4b.jpg", "expected": "```python\nclass Snapshot(BaseModel):\n pageIndex: int = 1\n stateId: str # computed by extension\n interactive: List[InteractiveElement] = Field(default_factory=list)\n extracted: Optional[ExtractedCard] = None\n ts_ms: int\n```", "predicted": "```python\nclass Snapshot(BaseModel):\n pageIndex: int = 1\n stateId: str # computed by extension\n interactive: List[InteractiveElement] = Field(default_factory=list)\n extracted: Optional[ExtractedCard] = None\n ts_ms: int\n```", "correct": true, "input_tokens": 1200, "output_tokens": 919, "elapsed_seconds": 16.692301707924344, "metadata": {"question": "Transcribe every piece of text in this screenshot exactly as written, in reading order, and omit nothing. Put source code inside fenced code blocks, preserving indentation, quotes, and casing exactly, and transcribe surrounding interface text as Markdown. Transcribe only the complete definition of the `Snapshot` class exactly as it appears in the code editor, including the class line and all its fields, and ignore all other code, editor chrome, file tabs, sidebars, and the terminal.", "match_method": "similarity", "score": 1.0, "attempts": 1, "retries": 0, "total_seconds": 16.7316}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 21, "image": "0f7a1b1b-b0f9-4dba-9659-0455701b7a3f_png.rf.a006d974af16d067a2ee124fe9e15f3f.jpg", "expected": "Department of Computer Science and Engineering\nFaculty of Technology & Engineering\nThe M. S. University of Baroda, Vadodara\nS.S BE IV CSE (______)\n\nINDUSTRY PROJECT EVALUATION FORM\n\nName of the Student : Raval Sumit Bharatbhai\nName of Project Guide : Sukhvala Prit Hasmukhbhai\nTitle / Designation : Jr. Salesforce Developer\nEmail of Project Guide : sukhvalaps@gmail.com\nAddress of the Organization : Dev Arcade, U3, Eru Char Rasta, Vejalpore, Jalalpore, Eroo, Navsari, Gujarat-396450\nContact No. : 98751 62607\n\n(Indicate your choice by tick a (\u2713) mark):\n\nHighest-----------------------------------------------------------------Lowest\n\n
Attributes of ObservancePO54321
1Punctuality/ RegularityPO8\u2713
2Sincerity in LearningPO12\u2713
3Enthusiasm to use new technological toolsPO5\u2713
4Team Spirit: Relationship with Team MembersPO9\u2713
5Technical/Programming SkillsPO1\u2713
6Societal Impact of ProjectPO7\u2713
7InnovationPO1,PO5\u2713
8Knowledge of Algorithm OptimizationPO1,PO4\u2713
9Problem Solving AbilityPO2\u2713
10Project Management/Leadership Skills: Taking responsibilitiesPO11\u2713
11Communication SkillsPO10\u2713
12Implementing InstructionsPO3\u2713
13Achievement of DeadlinesPO11\u2713
14Follows Sustainable Development practices in day to day work and project workPO6\u2713
15Overall Performance, Behavior and AttitudePO8\u2713
\n\nPage 1 of 2", "predicted": "Department of Computer Science and Engineering\nFaculty of Technology & Engineering\nThe M. S. University of Baroda, Vadodara\nS.S BE IV CSE ( )\n\nINDUSTRY PROJECT EVALUATION FORM\n\nName of the Student : Raval Sumit Bharatbhai\nName of Project Guide : Sakhvala Prit Hasmukhbhai\nTitle / Designation : Jr. Salesforce Developer\nEmail of Project Guide : sakhvalaps@gmail.com\nAddress of the Organization : Dev Arcade, U3, Eru Char Rasta, Vejalpore, Jalapore, Eroo , Navsari, Gujarat-396450\nContact No. : 98751 62607\n\n(Indicate your choice by tick a (\u221a) mark):\n\nHighest---------------------------------------------------------Lowest\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Attributes of ObservancePO54321
1Punctuality/ RegularityPO8\u2713
2Sincerity in LearningPO12\u2713
3Enthusiasm to use new technological toolsPO5\u2713
4Team Spirit: Relationship with Team MembersPO9\u2713
5Technical/Programming SkillsPO1\u2713
6Societal Impact of ProjectPO7\u2713
7InnovationPO1,PO5\u2713
8Knowledge of Algorithm OptimizationPO1,PO4\u2713
9Problem Solving AbilityPO2\u2713
10Project Management/Leadership Skills: Taking responsibilitiesPO11\u2713
11Communication SkillsPO10\u2713
12Implementing InstructionsPO3\u2713
13Achievement of DeadlinesPO11\u2713
14Follows Sustainable Development practices in day to day work and project workPO6\u2713
15Overall Performance, Behavior and AttitudePO8\u2713
\n\nPage 1 of 2", "correct": true, "input_tokens": 1166, "output_tokens": 3297, "elapsed_seconds": 31.99851858301554, "metadata": {"question": "Transcribe all text in this document exactly and completely, in reading order, preserving casing, punctuation, currency symbols, and codes. Use an HTML table only for genuinely tabular content, mirroring its rows, columns, and merged cells; write the HTML on single lines with no indentation or blank lines between tags, and collapse horizontal alignment to a single space.", "match_method": "similarity", "score": 0.9759, "attempts": 1, "retries": 0, "total_seconds": 32.0124}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 22, "image": "4f216ea0-af67-40e1-a226-2884e051db56_png.rf.b2fadeee17b3985c08325bec449bfd27.jpg", "expected": "NANAVATI\nMAX Super Speciality Hospital\n\n28/11/25\n\nTo\n\nWHOM SO EVER IT MAY CONCERNS\n\nMrs. Tanvi Mehta, 33/F, K/c/o CKD Stage 5 is planned for Live related kidney transplant on 2/12/2025. Post op patient is given immunosuppressants so require Isolation / Single room for infection prevention.\n\nSo kindly consider the same.\n\nFor Dr. Jalin Kotuan.\n\nDr. Balabhai Nanavati Hospital (Charitable) \nS.V. Road, Vile Parle (W), Mumbai - 400 056 \nTel.: +91-22-6134 7500 \nManaged by Max Hospitals and Allied services Limited\n\nwww.nanavatimaxhospital.org", "predicted": "NANAVATI MAX Super Speciality Hospital 28/11/25\n\nTo\n WHOM SO EVER IT MAY CONCERNS\n\n Mrs. Tanvi Mehta, 33/F, k/c/o CKD stage 5\nis planned for Live related kidney transplant\non 2/12/2025. Post op patient is given\n immunosuppressants so require Isolation/\n Single room for infection prevention.\n So kindly consider the same.\n\n DR. BALABHAI NANAVATI HOSPITAL MUMBAI - 56\n For Dr. Jatin Kothari.\n\nDr. Balabhai Nanavati Hospital (Charitable)\nS.V. Road, Vile Parle (W), Mumbai - 400 056\nTel.: +91-22-6134 7500\nManaged by Max Hospitals and Allied Services Limited\n\nwww.nanavatimaxhospital.org", "correct": false, "input_tokens": 1140, "output_tokens": 2393, "elapsed_seconds": 31.459814125089906, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.8921, "attempts": 1, "retries": 0, "total_seconds": 31.5188}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 23, "image": "058e2b7c-372e-4d28-8921-9686341124d1_png.rf.17dd3d796974c2aef56049a1e6edcee8.jpg", "expected": "Sir Ganga Ram Hospital\nSir Ganga Ram Hospital Marg, Rajinder Nagar,\nNew Delhi-110060, INDIA Tel : +91-11-4225 4000\n\nMedical Superintendent (Offg.)\nSir Ganga Ram Kolmet Hospital, 7-B, Pusa Road,\nNew Delhi-110005. Tel : +91-11-45099999, (D) 45099980\n\nDr. Raj Kamal Agarwal\nSr. Consultant\nDeptt. of Anaesthesiology\nPain & Peri Operative Medicine\nMobile : +91 98101 52201\nE-mail : kamalagarwal300@gmail.com\n\nTO WHOM IT MAY CONCERN\n\nAs per ICMR guideline, the contacts of COVID +ve cases should be put on HOME ISOLATION even with Mild Symptoms\n\nIt is advised that everybody takes these preventive medication apart from following SOCIAL DISTANCING, HAND HYGIENE & WEARING MASK\n\nRx\n\u2022 TAB HYDROXY CHLOROQUINE 400mg once a week\n\u2022 TAB VITAMIN C one gram once a day\n\u2022 TAB ZINC 50 mg once a day\n\nIn case of fever\n\n* \u2022 TAB CROCIN/CALPOL 650 mg SOS\n\nIn case of throat pain & cough\n\n* \u2022 TAB CETRIZINE 10mg once a day.\n\u2022 SYRUP ALEX 2/3 Tea spoon 3 times a day.\n\nDr. RAJ KAMAL AGARWAL\nMBBS, DA\nDMC No. 14517\nSENIOR CONSULTANT\nDEPTT. OF ANAESTHSIOLOGY\nPERIOPERATIVE MEDICINE & PAIN\nSIR GANGARAM HOSPITAL\nRAJINDER NAGAR, NEW DELHI-110060\nPh.9810152201\n\nResidence :\n181, Royalton Tower, Princeton Estate, DLF Phase-V, Gurugram, Haryana", "predicted": "Sir Ganga Ram Hospital Dr. Raj Kamal Agarwal\nSir Ganga Ram Hospital Marg, Rajinder Nagar, Sr. Consultant\nNew Delhi-110060, INDIA Tel : +91-11-4225 4000 Deptt. of Anaesthesiology\nMedical Superintendent (Offg.) Pain & Peri Operative Medicine\nSir Ganga Ram Kolmet Hospital, 7-B, Pusa Road, Mobile : +91 98101 52201\nNew Delhi-110005. Tel : +91-11-45099999, (D) 45099980 E-mail : kamalagarwal300@gmail.com\n\nTO WHOM IT MAY CONCERN\n\nAs per ICMR guideline, the contacts of\nCOVID +ve cases should be put on HOME\nISOLATION even with Mild Symptoms\nIt is advised that everybody takes these\npreventive medication apart from following\nSOCIAL DISTANCING, HAND HYGIENE & WEARING\nMASK\nRx\n\u2022 TAB HYDROXY CHLOROQUINE 400mg once a week\n\u2022 TAB VITAMIN C one gram once a day\n\u2022 TAB ZINC 50 mg once a day\nIn case of fever\n* \u2022 TAB CROCIN/CALPOL 650 mg SOS\nIn case of throat pain & cough\n* \u2022 TAB CETRIZINE 10 mg once a day.\n\u2022 SYRUP ALEX 2/3 tea spoon 3 times a day.\n\nDR. RAJ KAMAL AGARWAL\nMBBS, DA\nDMC No. 4537\nSENIOR CONSULTANT\nDEPTT. OF ANAESTHSIOLOGY\nPERIOPERATIVE MEDICINE & PAIN\nSIR GANGARAM HOSPITAL\nRAJINDER NAGAR, NEW DELHI-110060\nPH: 9810152201\n\nResidence :\n181, Royalton Tower, Princeton Estate, DLF Phase-V, Gurugram, Haryana-122002", "correct": false, "input_tokens": 1152, "output_tokens": 5394, "elapsed_seconds": 79.7148417920107, "metadata": {"question": "Transcribe all handwritten and printed text exactly as written, reading top to bottom and left to right, and omit nothing; mark only genuinely unreadable words as [illegible]. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.7819, "attempts": 1, "retries": 0, "total_seconds": 79.7992}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 24, "image": "1b4e5426-d109-4398-8e45-ab1dc497980f_png.rf.bded2a0f08d8a00ca919034e8f04cf48.jpg", "expected": "Lesson \n1.1\n\nReading (Recognizing Uppercase and Lowercase Letters)\n\nActivity\n\nCircle the matching lowercase letter in each row. The first one has been completed.\n\n| | | | | |\n|---|---|---|---|---|\n| A | c | (a) | e | h |\n| B | v | n | (b) | l |\n| C | a | w | e | (c) |\n| D | (d) | l | t | i |\n| E | b | m | x | (e) |\n| F | e | o | (f) | p |\n| G | h | (g) | r | s |\n| H | v | a | (h) | r |\n| I | c | a | (i) | p |\n| J | t | y | o | (j) |\n| K | (k) | x | d | u |\n| L | o | (l) | a | t |\n| M | b | (m) | n | w |", "predicted": "Lesson 1.1\n\n# Reading (Recognizing Uppercase and Lowercase Letters)\n\n## Activity\n\n**Circle the matching lowercase letter in each row. The first one has been completed.**\n\n| | | | | |\n| :---: | :---: | :---: | :---: | :---: |\n| A | c | a | e | h |\n| B | v | n | b | l |\n| C | a | w | e | c |\n| D | d | l | t | i |\n| E | b | m | x | e |\n| F | e | o | f | p |\n| G | h | g | r | s |\n| H | v | a | h | r |\n| I | c | a | i | p |\n| J | t | y | o | j |\n| K | k | x | d | u |\n| L | o | l | a | t |\n| M | b | m | n | w |\n\nTabsera", "correct": false, "input_tokens": 1190, "output_tokens": 914, "elapsed_seconds": 12.352002125000581, "metadata": {"question": "Transcribe every piece of text in this image exactly as written, in reading order, preserving question and option numbering, and omit nothing. Write mathematical expressions in LaTeX and format the result as Markdown that mirrors the layout. Ignore the vertical text printed sideways along the page margin.", "match_method": "similarity", "score": 0.8632, "attempts": 1, "retries": 0, "total_seconds": 12.3882}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 25, "image": "9e81338a-33bb-479d-939a-0df376f0a972_png.rf.917d36705351e18951147dc224677339.jpg", "expected": "yes exactly! a bit like i'm being manipulated in some creepy way. \"please like me, look how much i know about you, we are good friends\".", "predicted": "Andrej Karpathy @karpathy \u00b7 1\u5c0f\u65f6\nyes exactly! a bit like i'm being manipulated in some creepy way. \"please like\nme, look how much i know about you, we are good friends\".\n4 2 105 4,300", "correct": false, "input_tokens": 1184, "output_tokens": 882, "elapsed_seconds": 40.06069979199674, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom, keeping each author's handle with their message, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the last (bottom-most) tweet authored by Andrej Karpathy (@karpathy).", "match_method": "similarity", "score": 0.7418, "attempts": 1, "retries": 0, "total_seconds": 40.0958}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 26, "image": "e6e06b1b-da53-41ac-bfdf-9316443ff037_png.rf.39688157a0a030c060170f7400170d30.jpg", "expected": "31/3/24 AI OCR Tools\n\nQuite unusually for me, this essay started its life as a scribble in a notebook rather than something I typed into a markdown editor. A few weeks ago Tiago Forte made a short video suggesting that people can use GPT4-V to capture their hand-written notes digitally. I've been looking for a \"smart\" OCR tool that can process my terribly scratchy, spidery hand writing for many years and none have quite cut the mustard. But, I thought, why not give it a go. To my absolute surprise, GPT did a phenomenal job of parsing my scrawlings and spitting out text. I was seriously impressed. Handwriting OCR has now gone from a fun toy and conversation piece to something I can actually, seriously use in my workflow. So then, is GPT via ChatGPT the best option I've got for this task or are there any FOSS tools and models that I could use instead?\n\nThe Closest option: CRAFT-TROCR\n\nI played with this a couple of years ago and it was reasonably good at certain content but only if I write in my very best hand writing all the time. And I don't do that because when I am taking notes in a meeting or something, I am thinking about the meeting, not my hand writing.\n\nHow does CRAFT-TROCR work? Are there any major differences? I'm guessing a big transformer model is able to maximise probability globally across the image + the generated text.\n\n68", "predicted": "31/3/24 AI OCR Tools\n\nQuite unusually for me, this essay started its life\nas a scribble in a notebook rather than something\nI typed into a markdown editor. A few weeks ago\nTiago Forte made a short video suggesting that\npeople can use GPT4-V to capture their hand-written\nnotes digitaly. I've been looking for a \"smart\"\nOCR tool that can process my terribly scratchy,\nspidery hand writing for many years and none have\nquite cut the mustard. But, I thought, why not\ngive it a go. To my absolute surprise, GPT did\na phenomenal job of parsing my scrawlings and\nspitting out text. I was seriously impressed.\nHandwriting OCR has now gone from a fun toy\nand conversation piece to something I can actually, seriously\nuse in my workflow. So then, is GPT via ChatGPT\nthe best option I've got for this task or are\nthere any FOSS tools and models that I could\nuse instead?\n\nThe Classic option: CRAFT-TROCR\n\nI played with this a couple of years ago and\nit was reasonably good at certain content but only\nif I write in my very best hand writing all the time.\nAnd I don't do that because when I am taking\nnotes in a meeting or something, I am thinking about\nthe meeting, not my hand writing.\n\nHow does CRAFT-TROCR work? Are there any major\ndifferences? I'm guessing a big transformer model\nis able to maximise probability globally across the\nimage + the generated text.\n\n68", "correct": true, "input_tokens": 1210, "output_tokens": 2027, "elapsed_seconds": 54.02177133306395, "metadata": {"question": "Transcribe all handwritten and printed text exactly as written, reading top to bottom and left to right, and omit nothing; mark only genuinely unreadable words as [illegible]. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the text on the left page of the notebook, ignoring the partially visible right page.", "match_method": "similarity", "score": 0.9779, "attempts": 1, "retries": 0, "total_seconds": 54.0701}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 27, "image": "d1d7aaf7-169c-4847-866d-61bc0a6784b4_png.rf.47c7117d83bf6448f821dbc28e0e6255.jpg", "expected": "R\u00c9PUBLIQUE FRAN\u00c7AISE\nCARTE NATIONALE D'IDENTIT\u00c9 / IDENTITY CARD\n\nNOM / Surname \nMARTIN\n\nPr\u00e9noms / Given names \nMa\u00eblys Ga\u00eblle, Marie\n\nSEXE / Sex\nF\n\nNATIONALIT\u00c9 / Nationality\nFRA\n\nDATE DE NAISS. / Date of birth \n13 07 1990\n\nLIEU DE NAISSANCE / Place of birth \nPARIS\n\nNOM D'USAGE / Alternate name \nNOM D'USAGE\n\nN\u00b0 DU DOCUMENT / Document No. \nX4RTBPFW4\n\nDATE D'EXPIR. / Expiry date \n11 02 2030\n\nSignature\n\n384213", "predicted": "R\u00c9PUBLIQUE FRAN\u00c7AISE FR\nCARTE NATIONALE D'IDENTIT\u00c9 / IDENTITY CARD\nNOM / Surname\nMARTIN\nPr\u00e9noms / Given names\nMa\u00eblys-Ga\u00eblle, Marie\nSEXE / Sex NATIONALIT\u00c9 / Nationality DATE DE NAISS. / Date of birth\nF FRA 13 07 1990\nLIEU DE NAISSANCE / Place of birth\nPARIS\nNOM D'USAGE / Alternate name\nNOM D'USAGE\nN\u00b0 DU DOCUMENT / Document No. DATE D'EXPIR. / Expiry date\nX4RTBPFW4 11 02 2030\n384213", "correct": false, "input_tokens": 1179, "output_tokens": 1898, "elapsed_seconds": 33.87406824994832, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the main identity document, reading top to bottom and left to right, and ignore the vertical text along the left edge, the signature graphic, and the faint background watermark.", "match_method": "similarity", "score": 0.8504, "attempts": 1, "retries": 0, "total_seconds": 33.9379}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 28, "image": "bcd74d99-f2d8-4005-aa54-2cc083e5a293_png.rf.1d000af6e7da39b4a95398db67f4bcbb.jpg", "expected": "4/16/26, 3:09 PM\n\nDocs\n\nGetting Started with Docker setup\n\nTo begin developing and deploying applications within this environment, you must have Docker Engine and the Docker Compose plugin installed. Follow the steps below to set up the environment on a Debian/Ubuntu-based system.\n\n1. Update the Package Index\n\nsudo apt update\n\nsudo apt install -y ca-certificates curl gnupg lsb-release\n\ncurl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --dearmor -o /etc/apt/keyrings/docker.gpg\n\nsudo chmod a+r /etc/apt/keyrings/docker.gpg\n\necho \\\n \"deb [arch=$(dpkg --print-architecture) signed-by=/etc/apt/keyrings/docker.gpg] https://download.docker.com/linux/ubuntu \\\n $(. /etc/os-release && echo \"$VERSION_CODENAME\") stable\" | \\\n sudo tee /etc/apt/sources.list.d/docker.list > /dev/null\n\nsudo apt update\n\nsudo apt install -y docker-ce docker-ce-cli containerd.io docker-buildx-plugin docker-compose-plugin", "predicted": "4/16/26, 3:09 PM Docs\n\nGetting Started with Docker setup\n\nTo begin developing and deploying applications within this environment, you must\nhave Docker Engine and the Docker Compose plugin installed. Follow the steps\nbelow to set up the environment on a Debian/Ubuntu-based system.\n\n1. Update the Package Index\n\nsudo apt update\n\nsudo apt install -y ca-certificates curl gnupg lsb-release\n\ncurl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --\ndearmor -o /etc/apt/keyrings/docker.gpg\n\nsudo chmod a+r /etc/apt/keyrings/docker.gpg\n\necho \\\n \"deb [arch=$(dpkg --print-architecture) signed-\nby=/etc/apt/keyrings/docker.gpg]\nhttps://download.docker.com/linux/ubuntu \\\n $(. /etc/os-release && echo \"$VERSION_CODENAME\") stable\" | \\\n sudo tee /etc/apt/sources.list.d/docker.list > /dev/null\n\nsudo apt update\n\nsudo apt install -y docker-ce docker-ce-cli containerd.io docker-\nbuildx-plugin docker-compose-plugin", "correct": true, "input_tokens": 1161, "output_tokens": 1191, "elapsed_seconds": 12.886133374995552, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9913, "attempts": 1, "retries": 0, "total_seconds": 12.8973}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 29, "image": "8aa12106-fbe5-4983-96bf-a1243a7c4020_png.rf.83832cdeaaf470d6954bbada16920ccd.jpg", "expected": "\"Jade City\"\nBaan 16 - 8256 AX\nBiddinghuizen\n\nT.Nr: L7\n\n
1 Gebraden magere spek met pikante saus a 19.50 (1 Nasi a EUR 1.00)EUR20.50
1 Chinese bami a la \"Jade City\" a 19.00EUR19.00
1 Babi pangang met pikante saus a 19.00 (1 Nasi a EUR 1.00)EUR20.00
1 Koe Loe Kai a 18.00 (1 Nasi a EUR 1.00)EUR19.00
1 Ossenhaas met oestersaus a 21.00EUR21.00
2 Dame blanche(ijs.choc.slagroom)EUR9.00
1 Cola a 3.25EUR3.25
2 Cola-max a 3.25EUR6.50
1 Sinas a 3.25EUR3.25
1 Seven-up a 3.25EUR3.25
2 ice thee met prik a 3.75EUR7.50
3 ijs a 4.00EUR12.00
\n\n============ +\nTotaal: EUR 144.25\n============\n\nBTW 9.0% EUR 11.91\n\nBedankt voor Uw bezoek\nRabobank NL29 0348178123\nKvk 39037611", "predicted": "\"Jade City\"\nBaan 16 - 8256 AX\nBiddinghuizen\n\nT.Nr: L7\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
1 Gebraden magere spek metEUR20.50
pikante saus a 19.50
(1 Nasi a EUR 1.00)
1 Chinese bami a la \"JadeEUR19.00
City\" a 19.00
1 Babi pangang met pikanteEUR20.00
saus a 19.00
(1 Nasi a EUR 1.00)
1 Koe Loe Kai a 18.00EUR19.00
(1 Nasi a EUR 1.00)
1 Ossenhaas met oestersausEUR21.00
a 21.00
2 DameEUR9.00
blanche(ijs.choc.slagroom)
1 Cola a 3.25EUR3.25
2 Cola-max a 3.25EUR6.50
1 Sinas a 3.25EUR3.25
1 Seven-up a 3.25EUR3.25
2 ice thee met prik a 3.75EUR7.50
3 ijs a 4.00EUR12.00
=========== +
Totaal: EUR144.25
===========
\n\nBTW 9.0% EUR 11.91\n\nBedankt voor Uw bezoek\nRabobank NL29 0348178123\nKvk 39037611", "correct": false, "input_tokens": 1204, "output_tokens": 4662, "elapsed_seconds": 49.42288470896892, "metadata": {"question": "Transcribe all text in this document exactly and completely, in reading order, preserving casing, punctuation, currency symbols, and codes. Use an HTML table only for genuinely tabular content, mirroring its rows, columns, and merged cells; write the HTML on single lines with no indentation or blank lines between tags, and collapse horizontal alignment to a single space. Transcribe only the main receipt in the foreground, and ignore the upside-down, semi-transparent receipt behind it.", "match_method": "similarity", "score": 0.6585, "attempts": 1, "retries": 0, "total_seconds": 49.4927}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 30, "image": "11b83a24-c9b8-4d9a-b4db-b73d396719cd_png.rf.358e9a65b048e920c8eacbd7b7fb1df6.jpg", "expected": "Something tells me that if they released their chat/tool/hyper-param templates which they use on their cloud service, there'd be a lot more love and acceptance. Why anyone is still using a llama.cpp wrapper anymore is the better question and beyond me.", "predicted": "Eric @Ex0byt \u00b7 1\u5c0f\u65f6\nSomething tells me that if they released their chat/tool/hyper-param\ntemplates which they use on their cloud service, there\u2019d be a lot more love\nand acceptance. Why anyone is still using a llama.cpp wrapper anymore is\nthe better question and beyond me.\n40", "correct": false, "input_tokens": 1199, "output_tokens": 2809, "elapsed_seconds": 32.993787624989636, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom, keeping each author's handle with their message, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the reply authored by Eric (@Ex0byt).", "match_method": "similarity", "score": 0.9051, "attempts": 1, "retries": 0, "total_seconds": 33.0264}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 31, "image": "fc6e5e8d-4b33-4a20-a63a-96c0205ae8f6_png.rf.6cdeb04c221a85b1895ded05acdbfa1b.jpg", "expected": "When recorded return to:\nSTRIBLING LAW FIRM PO\n101 E MCINTOSH ST\nMILLEDGEVILLE GA 3106\n\nDoc ID: 001029530008 Type: GLR\nRecorded: 10/21/2013 at 04:07:30 PM\nPage 1 of 8\nBaldwin, Ga. Clerk Superior Court\nRosemary Phillips Clerk of Courts\nBK 1150 PG 483-490\n\nFILED & RECORDED\nCLERK, SUPERIOR COURT\nBALDWIN COUNTY, GA\n2013 OCT 21 PM 4: 07\nBY\nROSEMARY PHILLIPS, CLERK\n\nDeed To Secure Debt\n(With Future Advance Clause)\n\n1. Date and Parties. The date of this Deed to Secure Debt (Security Instrument) is OCTOBER 21, 2013\n. The parties and their addresses are:\n\nGrantor: THE BRACK FAMILY LIMITED\nPARTNERSHIP\n891 S JEFFERSON STREET SE\nMILLEDGEVILLE GA 31061\n\n\u2610 If checked, refer to the attached Addendum incorporated herein, for additional Grantors, their signatures\nand acknowledgments.\n\nGrantee: CENTURY BANK AND TRUST\n(\"Lender\") 141 S WAYNE ST\nMILLEDGEVILLE, GA 31061-5708\n\n2. Conveyance. For good and valuable consideration, the receipt and sufficiency of which is acknowledged,\nand to secure the Secured Debt (defined below) and Grantor\u2019s performance under this Security Instrument,\nGrantor irrevocably grants, bargains, transfers, conveys and sells to Lender, with power of sale, the\nfollowing described property:\n*SEE EXHIBIT 'A' ATTACHED HERETO AND INCORPORATED HEREIN BY REFERENCE.\n\nThe property is located in BALDWIN at\n(County)\n101 KINGS RD , MILLEDGEVILLE , Georgia 31061-0000\n(Address) (City) (ZIP Code)\nTogether with all rights, easements, appurtenances, royalties, mineral rights, oil and gas rights, all water and\nriparian rights, ditches, and water stock and all existing and future improvements, structures, fixtures, and\nreplacements that may now, or at any time in the future, be part of the real estate described above (all\nreferred to as \"Property\").\n\n3. Maximum Obligation Limit. The total principal amount secured by this Security Instrument at any one time\nshall not exceed $ UNLIMITED . This limitation of amount does not include\ninterest and other fees and charges validly made pursuant to this Security Instrument. Also, this limitation\ndoes not apply to advances made under the terms of this Security Instrument to protect Lender\u2019s security and\nto perform any of the covenants contained in this Security Instrument.\n\nReal Estate Security Instrument-Consumer-GA\nVMP\u00ae Bankers Systems\u2122\nWolters Kluwer Financial Services \u00a9 1994, 2011\n\nRE-DSD-GA 1/24/2011\nVMPC231(GA) (1101).00\nPage 1 of 6\n\nBB R# 189300", "predicted": "When recorded return to:\nSTRIBLING LAW FIRM PC\n101 E MCINTOSH ST\nMILLEDGEVILLE GA 31061\n2\n\nDoc ID: 001029530008 Type: GLR\nRecorded: 10/21/2013 at 04:07:30 PM\nPage 1 of 8\nBaldwin, Ga. Clerk Superior Court\nRosemary Phillips Clerk of Courts\nBK 1150 PG483-490\n\nFILED & RECORDED\nCLERK, SUPERIOR COURT\nBALDWIN COUNTY, GA\n2013 OCT 21 PM 4: 07\nBY Barbara Boyer\nROSEMARY PHILLIPS, CLERK\nDty Clerk\n\nDeed To Secure Debt\n(With Future Advance Clause)\n\n1. Date and Parties. The date of this Deed to Secure Debt (Security Instrument) is OCTOBER 21, 2013\n . The parties and their addresses are:\n\n Grantor: THE BRACK FAMILY LIMITED\n PARTNERSHIP\n 891 S JEFFERSON STREET SE\n MILLEDGEVILLE GA 31061\n\n If checked, refer to the attached Addendum incorporated herein, for additional Grantors, their signatures\n and acknowledgments.\n\n Grantee: CENTURY BANK AND TRUST\n (\"Lender\") 141 S WAYNE ST\n MILLEDGEVILLE, GA 31061-5708\n\n2. Conveyance. For good and valuable consideration, the receipt and sufficiency of which is acknowledged,\n and to secure the Secured Debt (defined below) and Grantor's performance under this Security Instrument,\n Grantor irrevocably grants, bargains, transfers, conveys and sells to Lender, with power of sale, the\n following described property:\n *SEE EXHIBIT 'A' ATTACHED HERETO AND INCORPORATED HEREIN BY REFERENCE.\n\n The property is located in BALDWIN at\n (County)\n 101 KINGS RD , MILLEDGEVILLE , Georgia 31061-0000\n (Address) (City) (ZIP Code)\n Together with all rights, easements, appurtenances, royalties, mineral rights, oil and gas rights, all water and\n riparian rights, ditches, and water stock and all existing and future improvements, structures, fixtures, and\n replacements that may now, or at any time in the future, be part of the real estate described above (all\n referred to as \"Property\").\n\n3. Maximum Obligation Limit. The total principal amount secured by this Security Instrument at any one time\n shall not exceed $ UNLIMITED . This limitation of amount does not include\n interest and other fees and charges validly made pursuant to this Security Instrument. Also, this limitation\n does not apply to advances made under the terms of this Security Instrument to protect Lender's security and\n to perform any of the covenants contained in this Security Instrument.\n\nReal Estate Security Instrument-Consumer-GA RE-DSD-GA 1/24/2011\nVMP\u00ae Bankers Systems\u2122 VMPC231(GA) (1101).00\nWolters Kluwer Financial Services \u00a9 1994, 2011 Page 1 of 6\n\nBB R# 189300", "correct": false, "input_tokens": 1168, "output_tokens": 2821, "elapsed_seconds": 24.61324308393523, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9424, "attempts": 1, "retries": 0, "total_seconds": 24.643}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 32, "image": "c05c3288-ac14-47d6-8756-9ad484ae9696_png.rf.0ff67a7a39c5d5c7c9739988d851c032.jpg", "expected": "COST OF LIVING\n\nThe following figures are a general guide to essential monthly expenses for an expatriate executive living in Azerbaijan.\n\nMarried\nSingle couple with\nperson two children\n(US$) (US$)\n\nRent 800 3,000\nFood 300 1,200\nTransport 150 300\nUtilities 100 150\nEducation n. a. 1,000\nMiscellaneous 500 1,000\n\nTotal 1,850 6,650", "predicted": "COST OF LIVING\n\nThe following figures are a general guide to\nessential monthly expenses for an expatriate\nexecutive living in Azerbaijan.\n\nMarried\nSingle couple with\nperson two children\n(US$) (US$)\nRent 800 3,000\nFood 300 1,200\nTransport 150 300\nUtilities 100 150\nEducation n. a. 1,000\nMiscellaneous 500 1,000\nTotal 1,850 6,650", "correct": true, "input_tokens": 1164, "output_tokens": 882, "elapsed_seconds": 12.427977291983552, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9878, "attempts": 1, "retries": 0, "total_seconds": 12.4658}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 33, "image": "5327a38f-11a2-45f2-9a38-e1375dfbeb43_png.rf.b6a2243d098302d780056ad980a16a9c.jpg", "expected": "Probabilistic two-stage detection\n\ncosts of the second stage. Our second stage makes full use of years of progress in two-stage detection (Cai & Vasconcelos, 2018; Chen et al., 2019a) and yields a significant increase in detection accuracy over one-stage baselines. It also easily scales to large-vocabulary detection.\n\nExperiments on COCO (Lin et al., 2014), LVIS (Gupta et al., 2019), and Objects365 (Shao et al., 2019) demonstrate that our probabilistic two-stage framework boosts the accuracy of a strong CascadeRCNN model by 1-3 mAP, while also improving its speed. Using a standard ResNeXt-101-DCN backbone with a CenterNet (Zhou et al., 2019a) first stage, our detector achieves 50.2 mAP on COCO test-dev. With a strong Res2Net-101-DCN-BiFPN (Gao et al., 2019a; Tan et al., 2020b) backbone and self-training (Zoph et al., 2020), it achieves 56.4 mAP with single-scale testing, outperforming all published results. Using a small DLA-BiFPN backbone and lower input resolution, we achieve 49.2 mAP on COCO at 33 fps on a Titan Xp, outperforming the popular YOLOv4 model (43.5 mAP at 33 fps) on the same hardware. Code and models are release at https://github.com/xingyizhou/CenterNet2.\n\n2. Related Work\n\nOne-stage detectors jointly predict an output class and location of objects densely throughout the image. RetinaNet (Lin et al., 2017b) classifies a set of predefined sliding anchor boxes and handles the foreground-background imbalance by reweighting losses for each output. FCOS (Tian et al., 2019) and CenterNet (Zhou et al., 2019a) eliminate the need of multiple anchors per pixel and classify foreground/background by location. ATSS (Zhang et al., 2020b) and PAA (Kim & Lee, 2020) further improve FCOS by changing the definition of foreground and background. GFL (Li et al., 2020b) and Autoassign (Zhu et al., 2020a) change the hard foreground-background assignment to a weighted soft assignment. AlignDet (Chen et al., 2019c) uses a deformable convolution layer before the output to gather richer features for classification and regression. RepPoint (Yang et al., 2019) and DenseRepPoint (Yang et al., 2020) encode bounding boxes as the outline of a set of points and use the features of the point set for classification. BorderDet (Qiu et al., 2020) pools features along the bounding box for better localization. Most one-stage detectors have a sound probabilistic interpretation.\n\nWhile one-stage detectors have achieved competitive performance (Zhang et al., 2020b; Kim & Lee, 2020; Zhang et al., 2019; Li et al., 2020b; Zhu et al., 2020a), they usually rely on heavier separate classification and regression branches than two-stage models. In fact, they are no longer faster than their two-stage counterparts if the vocabulary (i.e., the set of object classes) is large (as in the LVIS or Objects365 datasets). Also, one-stage detectors only use the local features of the positive cell for regression and classification, which is sometimes misaligned with the object (Chen et al., 2019c; Song et al., 2020).\n\nOur probabilistic two-stage framework retains the probabilistic interpretation of one-stage detectors, but factorizes the probability distribution over multiple stages, improving both accuracy and speed.\n\nTwo-stage detectors first use a region proposal network (RPN) to generate coarse object proposals, and then use a dedicated per-region head to classify and refine them. Faster-RCNN (Ren et al., 2015; He et al., 2017) uses two fully-connected layers as the RoI heads. CascadeRCNN (Cai & Vasconcelos, 2018) uses three cascaded stages of Faster-RCNN, each with a different positive threshold so that the later stages focus more on localization accuracy. HTC (Chen et al., 2019a) utilizes additional instance and semantic segmentation annotations to enhance the inter-stage feature flow of CascadeRCNN. TSD (Song et al., 2020) decouples the classification and localization branches for each RoI.\n\nTwo-stage detectors are still more accurate in many settings (Gupta et al., 2019; Sun et al., 2020; Kuznetsova et al., 2018). Currently, all two-stage detectors use a relatively weak RPN that maximizes the recall of the top 1K proposals, and does not utilize the proposal score at test time. The large number of proposals slows the system down, and the recall-based proposal network does not directly offer the same clear probabilistic interpretation as one-stage detectors. Our framework addresses this, and integrates a strong class-agnostic single-stage object detector with later classification stages. Our first stage uses fewer, but higher quality, regions, yielding both faster inference and higher accuracy.\n\nOther detectors. A family of object detectors identify objects via points in the image. CornerNet (Law & Deng, 2018) detects the top-left and bottom-right corners and groups them using an embedding feature. ExtremeNet (Zhou et al., 2019b) detects four extreme points and groups them using an additional center point. Duan et al. (2019) detect the center point and use it to improve corner grouping. Corner Proposal Net (Duan et al., 2020) uses pairwise corner groupings as region proposals. CenterNet (Zhou et al., 2019a) detects the center point and regresses the bounding box parameters from it.\n\nDETR (Carion et al., 2020) and Deformable DETR (Zhu et al., 2020c) remove the dense output in a detector, and instead use a Transformer (Vaswani et al., 2017) that directly predicts a set of bounding boxes.\n\nThe major difference between point-based detectors, DETR, and conventional detectors lies in the network architecture. Point-based detectors use a fully-convolutional network (Newell et al., 2016; Yu et al., 2018), usually with symmetric downsampling and upsampling layers, and pro-", "predicted": "Probabilistic two-stage detection\n\ncosts of the second stage. Our second stage makes full use\nof years of progress in two-stage detection (Cai & Vascon-\ncelos, 2018; Chen et al., 2019a) and yields a significant\nincrease in detection accuracy over one-stage baselines. It\nalso easily scales to large-vocabulary detection.\nExperiments on COCO (Lin et al., 2014), LVIS (Gupta\net al., 2019), and Objects365 (Shao et al., 2019) demon-\nstrate that our probabilistic two-stage framework boosts the\naccuracy of a strong CascadeRCNN model by 1-3 mAP,\nwhile also improving its speed. Using a standard ResNeXt-\n101-DCN backbone with a CenterNet (Zhou et al., 2019a)\nfirst stage, our detector achieves 50.2 mAP on COCO test-\ndev. With a strong Res2Net-101-DCN-BiFPN (Gao et al.,\n2019a; Tan et al., 2020b) backbone and self-training (Zoph\net al., 2020), it achieves 56.4 mAP with single-scale testing,\noutperforming all published results. Using a small DLA-\nBiFPN backbone and lower input resolution, we achieve\n49.2 mAP on COCO at 33 fps on a Titan Xp, outperforming\nthe popular YOLOv4 model (43.5 mAP at 33 fps) on the\nsame hardware. Code and models are release at https:\n//github.com/xingyizhou/CenterNet2.\n\n2. Related Work\n\nOne-stage detectors jointly predict an output class and\nlocation of objects densely throughout the image. Reti-\nnaNet (Lin et al., 2017b) classifies a set of predefined sliding\nanchor boxes and handles the foreground-background im-\nbalance by reweighting losses for each output. FCOS (Tian\net al., 2019) and CenterNet (Zhou et al., 2019a) elimi-\nnate the need of multiple anchors per pixel and classify\nforeground/background by location. ATSS (Zhang et al.,\n2020b) and PAA (Kim & Lee, 2020) further improve FCOS\nby changing the definition of foreground and background.\nGFL (Li et al., 2020b) and Autoassign (Zhu et al., 2020a)\nchange the hard foreground-background assignment to a\nweighted soft assignment. AlignDet (Chen et al., 2019c)\nuses a deformable convolution layer before the output to\ngather richer features for classification and regression. Rep-\nPoint (Yang et al., 2019) and DenseRepPoint (Yang et al.,\n2020) encode bounding boxes as the outline of a set of\npoints and use the features of the point set for classification.\nBorderDet (Qiu et al., 2020) pools features along the bound-\ning box for better localization. Most one-stage detectors\nhave a sound probabilistic interpretation.\nWhile one-stage detectors have achieved competitive perfor-\nmance (Zhang et al., 2020b; Kim & Lee, 2020; Zhang et al.,\n2019; Li et al., 2020b; Zhu et al., 2020a), they usually rely\non heavier separate classification and regression branches\nthan two-stage models. In fact, they are no longer faster\nthan their two-stage counterparts if the vocabulary (i.e., the\nset of object classes) is large (as in the LVIS or Objects365\ndatasets). Also, one-stage detectors only use the local fea-\nture of the positive cell for regression and classification,\nwhich is sometimes misaligned with the object (Chen et al.,\n2019c; Song et al., 2020).\nOur probabilistic two-stage framework retains the proba-\nbilistic interpretation of one-stage detectors, but factorizes\nthe probability distribution over multiple stages, improving\nboth accuracy and speed.\nTwo-stage detectors first use a region proposal network\n(RPN) to generate coarse object proposals, and then use a\ndedicated per-region head to classify and refine them. Faster-\nRCNN (Ren et al., 2015; He et al., 2017) uses two fully-\nconnected layers as the RoI heads. CascadeRCNN (Cai &\nVasconcelos, 2018) uses three cascaded stages of Faster-\nRCNN, each with a different positive threshold so that the\nlater stages focus more on localization accuracy. HTC (Chen\net al., 2019a) utilizes additional instance and semantic seg-\nmentation annotations to enhance the inter-stage feature\nflow of CascadeRCNN. TSD (Song et al., 2020) decouples\nthe classification and localization branches for each RoI.\nTwo-stage detectors are still more accurate in many set-\ntings (Gupta et al., 2019; Sun et al., 2020; Kuznetsova et al.,\n2018). Currently, all two-stage detectors use a relatively\nweak RPN that maximizes the recall of the top 1K propos-\nals, and does not utilize the proposal score at test time. The\nlarge number of proposals slows the system down, and the\nrecall-based proposal network does not directly offer the\nsame clear probabilistic interpretation as one-stage detec-\ntors. Our framework addresses this, and integrates a strong\nclass-agnostic single-stage object detector with later classi-\nfication stages. Our first stage uses fewer, but higher quality,\nregions, yielding both faster inference and higher accuracy.\nOther detectors. A family of object detectors iden-\ntify objects via points in the image. CornerNet (Law\n& Deng, 2018) detects the top-left and bottom-right cor-\nners and groups them using an embedding feature. Ex-\ntremeNet (Zhou et al., 2019b) detects four extreme points\nand groups them using an additional center point. Duan\net al. (2019) detect the center point and use it to improve\ncorner grouping. Corner Proposal Net (Duan et al., 2020)\nuses pairwise corner groupings as region proposals. Cen-\nterNet (Zhou et al., 2019a) detects the center point and\nregresses the bounding box parameters from it.\nDETR (Carion et al., 2020) and Deformable DETR (Zhu\net al., 2020c) remove the dense output in a detector, and\ninstead use a Transformer (Vaswani et al., 2017) that directly\npredicts a set of bounding boxes.\nThe major difference between point-based detectors, DETR,\nand conventional detectors lies in the network architec-\nture. Point-based detectors use a fully-convolutional net-\nwork (Newell et al., 2016; Yu et al., 2018), usually with\nsymmetric downsampling and upsampling layers, and pro-", "correct": true, "input_tokens": 1156, "output_tokens": 6753, "elapsed_seconds": 67.96606350003276, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.979, "attempts": 1, "retries": 0, "total_seconds": 68.0056}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 34, "image": "f3701711-56c0-4e6d-94ad-edbe5931b13c_png.rf.0dfe995026d12d57bfa8621b501a51c9.jpg", "expected": "Table.10 Nutrient availability after harvesting of pigeon pea (pooled data of 3 years).\n\n
Tr.TreatmentsAvailable NAvailable PAvailable KDTPA-FeDTPA-ZnDTPA-CuDTPA-Mn
Kg ha-1mgkg-1
T1Absolute control (No Fertilizers)144.536.11535.003.350.411.114.60
T2RDF only (25:50:00 NPK/ha)147.517.21539.673.390.431.134.69
T3RDF+ 25 Kg K2O/ha148.427.57558.933.520.441.154.79
T4RDF+ 50 Kg K2O/ha154.517.71560.003.520.441.224.81
T5RDF+ 25 Kg K2O/ha+ Grade I micronutrient (soil application)154.697.59562.003.580.561.325.79
T6RDF+ 50Kg K2O/ha + Grade I micronutrient (soil application)157.918.16596.003.830.581.346.11
T7RDF+ 25 Kg K2O/ha + Grade II micronutrient (0.5 % foliar spray)155.407.90592.003.590.451.265.53
T8RDF+ 50 Kg K2O/ha + Grade II micronutrient (0.5 % foliar spray)157.058.12595.003.710.451.315.70
T9RDF+ 25 Kg K2O/ha + 2 % KNO3(foliar spray)148.677.60558.003.530.421.155.51
T10RDF+ 50 Kg K2O/ha + 2 % KNO3(foliar spray)152.517.77592.673.450.431.235.54
SEm (\u00b1)1.900.4111.300.020.020.010.32
CD at 5 %5.631.2733.540.060.030.97
Grand mean152.127.57568.933.540.081.225.31
\n\n13", "predicted": "Table.10 Nutrient availability after harvesting of pigeon pea (pooled data of 3 years).\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Tr.TreatmentsAvailable NAvailable PAvailable KDTPA-FeDTPA-ZnDTPA-CuDTPA-Mn
Kg ha\u207b\u00b9mgkg\u207b\u00b9
T\u2081Absolute control (No Fertilizers)144.536.11535.003.350.411.114.60
T\u2082RDF only (25:50:00 NPK/ha)147.517.21539.673.390.431.134.69
T\u2083RDF+ 25 Kg K\u2082O/ha148.427.57558.933.520.441.154.79
T\u2084RDF+ 50 Kg K\u2082O/ha154.517.71560.003.520.441.224.81
T\u2085RDF+ 25 Kg K\u2082O/ha+ Grade I micronutrient (soil application)154.697.59562.003.580.561.325.79
T\u2086RDF+ 50Kg K\u2082O/ha + Grade I micronutrient (soil application)157.918.16596.003.830.581.346.11
T\u2087RDF+ 25 Kg K\u2082O/ha + Grade II micronutrient (0.5 % foliar spray)155.407.90592.003.590.451.265.53
T\u2088RDF+ 50 Kg K\u2082O/ha + Grade II micronutrient (0.5 % foliar spray)157.058.12595.003.710.451.315.70
T\u2089RDF+ 25 Kg K\u2082O/ha + 2 % KNO\u2083(foliar spray)148.677.60558.003.530.421.155.51
T\u2081\u2080RDF+ 50 Kg K\u2082O/ha + 2 % KNO\u2083(foliar spray)152.517.77592.673.450.431.235.54
SEm (\u00b1)1.900.4111.300.020.020.010.32
CD at 5 %5.631.2733.540.060.030.97
Grand mean152.127.57568.933.540.081.225.31
\n\n13", "correct": false, "input_tokens": 1194, "output_tokens": 4055, "elapsed_seconds": 33.042670499999076, "metadata": {"question": "Transcribe all text in this document exactly and completely, in reading order, preserving casing, punctuation, currency symbols, and codes. Use an HTML table only for genuinely tabular content, mirroring its rows, columns, and merged cells; write the HTML on single lines with no indentation or blank lines between tags, and collapse horizontal alignment to a single space.", "match_method": "similarity", "score": 0.8716, "attempts": 1, "retries": 0, "total_seconds": 33.0762}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 35, "image": "c81c96a7-296d-4050-827a-f89309f7a523_png.rf.28cfadfc50dc15c7a43434f17af3489f.jpg", "expected": "will i am \nPlumbing & Heating\n\nBusiness Address \n24 Godwin House \nLondon, E2 8PH\n\n07851 499 470\n\n020 7 686 8226\n\ninfo@will-i-am-pnh.co.uk\n\nInvoice to: \nOrkun Acikgoz \nFlat 3 Pedlers Apartments, 1C Hewison \nStreet E3 2HZ\n\nInvoice No: 17065 \nDate: 12th May 2025\n\nRef: Flat 3 Pedlers Apartments, 1C Hewison \nStreet E3 2HZ\n\n
DESCRIPTIONQTYUNIT PRICETOTAL PRICE
Carried out an investigation, fault diagnosis and attempt to repair a leak going downstairs after the shower was used on 12/05/25 (2 hours on site - please refer to email for a report)2\u00a3100.00\u00a3200.00
Materials - x1 white silicone, x1 PTFE1\u00a310.78\u00a310.78
\n\n
SUBTOTAL:\u00a3210.78
20.0% S:\u00a342.16
TOTAL:\u00a3252.94
PAID:\u00a30.00
BALANCE DUE:\u00a3252.94
\n\nBank details as follows: \nBANK \u2013 HSBC \nwill i am Plumbing & Heating Limited \nSORT CODE \u2013 40-01-18 \nACCOUNT NO. - 41837478\n\n\u00a3252.94 due on 12th May 2025\n\nThank You", "predicted": "will i am\nPlumbing & Heating\n\nBusiness Address\n24 Godwin House\nLondon, E2 8PH\n07851 499 470\n020 7 686 8226\ninfo@will-i-am-pnh.co.uk\n\nInvoice to:\nOrkun Acikgoz\nFlat 3 Pedlers Apartments, 1C Hewison\nStreet E3 2HZ\n\nInvoice No: 17065\nDate: 12th May 2025\nRef: Flat 3 Pedlers Apartments, 1C Hewison\nStreet E3 2HZ\n\n\n\n\n\n
DESCRIPTIONQTYUNIT PRICETOTAL PRICE
Carried out an investigation, fault diagnosis and attempt to repair a leak going downstairs after the shower was used on 12/05/25 (2 hours on site - please refer to email for a report)2\u00a3100.00\u00a3200.00
Materials - x1 white silicone, x1 PTFE1\u00a310.78\u00a310.78
\n\nSUBTOTAL: \u00a3210.78\n20.0% S: \u00a342.16\nTOTAL: \u00a3252.94\nPAID: \u00a30.00\nBALANCE DUE: \u00a3252.94\n\nBank details as follows:\nBANK \u2013 HSBC\nwill i am Plumbing & Heating Limited\nSORT CODE \u2013 40-01-18\nACCOUNT NO. - 41837478\n\n\u00a3252.94 due on 12th May 2025\nThank You", "correct": false, "input_tokens": 1194, "output_tokens": 2048, "elapsed_seconds": 26.516415584017523, "metadata": {"question": "Transcribe all text in this document exactly and completely, in reading order, preserving casing, punctuation, currency symbols, and codes. Use an HTML table only for genuinely tabular content, mirroring its rows, columns, and merged cells; write the HTML on single lines with no indentation or blank lines between tags, and collapse horizontal alignment to a single space.", "match_method": "similarity", "score": 0.8594, "attempts": 1, "retries": 0, "total_seconds": 26.5431}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225128", "index": 36, "image": "b883e11d-433f-4c18-b0a5-11a0599a241b_png.rf.1efeebf4c96c16074b4f57edde37de47.jpg", "expected": "AUTORES\n\n01- ANA LUIZA BAPTISTA\n02- ANA MARA ALVES DE FREITAS\n03- AMANDA MACHADO AGUIAR\n04- ANDREA NICOLAU PASCHOAL\n05- CARLOS EDUARDO PEREIRA DE MELLO\n06- CRISTIANE HONDA\n07- DANIEL DELAZERI DE FARIA\n08- DIEGO VIEIRA DE SOUZA\n09- ILAN AKISABURO KIMURA\n10- MARIANA BOTELHO MENEGATTI\n11- MARINA PEINADO BERBERIAN\n12- MICHAEL MENDES\n13- RAFAEL DONIZETI SOUZA DE TOLEDO\n14- RAFAEL PADILLA\n15- RAFAEL SCHULIEN\n16- RENATA QUISSAK BARTELEGA PEIXOTO\n17- SILVIA RIBEIRO BROTTO\n18- THAIS NAGOSHI SUZUKI", "predicted": "AUTORES\n\n01- ANA LUIZA BAPTISTA\n02- ANA MARA ALVES DE FREITAS\n03- AMANDA MACHADO AGUIAR\n04- ANDREA NICOLAU PASCHOAL\n05- CARLOS EDUARDO PEREIRA DE MELLO\n06- CRISTIANE HONDA\n07- DANIEL DELAZERI DE FARIA\n08- DIEGO VIEIRA DE SOUZA\n09- ILAN AKISABURO KIMURA\n10- MARIANA BOTELHO MENEGATTI\n11- MARINA PEINADO BERBERIAN\n12- MICHAEL MENDES\n13- RAFAEL DONIZETI SOUZA DE TOLEDO\n14- RAFAEL PADILLA\n15- RAFAEL SCHULIEN\n16- RENATA QUISSAK BARTELEGA PEIXOTO\n17- SILVIA RIBEIRO BROTTO\n18- THAIS NAGOSHI SUZUKI", "correct": true, "input_tokens": 1176, "output_tokens": 910, "elapsed_seconds": 16.605673542013392, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 1.0, "attempts": 1, "retries": 0, "total_seconds": 16.6997}} diff --git a/results/ocr_gemini-4-argon_high_20261012_225132.jsonl b/results/ocr_gemini-4-argon_high_20261012_225132.jsonl new file mode 100644 index 0000000..ef83491 --- /dev/null +++ b/results/ocr_gemini-4-argon_high_20261012_225132.jsonl @@ -0,0 +1,37 @@ +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 0, "image": "4f770728-7b1f-4bf3-b877-e3d33fcc135d_png.rf.dffcaaeb26fd7fe4fd14891cb00a0adf.jpg", "expected": "100 Good Cookies\n1 cup white sugar 1 teaspoon baking soda\n1 cup brown sugar 1 cup quick oatmeal\n1 cup margarine 1 cup coconut\n1 cup cooking oil 1 cup Rice Krispies\n1 egg 1 cup chopped walnuts\n1 teaspoon vanilla 3\u00bd cups flour\n1 teaspoon cream of tartar 1-12oz. package mini\nchocolate chips\nMix in order given. Drop by teaspoonful onto cookie sheet. Bake at 350\u00b0 for 8-10 minutes.\n(over)", "predicted": "100 Good Cookies\n1 cup white sugar 1 teaspoon baking soda\n1 cup brown sugar 1 cup quick oatmeal\n1 cup margarine 1 cup coconut\n1 cup cooking oil 1 cup Rice Krispies\n1 egg 1 cup chopped walnuts\n1 teaspoon vanilla 3\u00bd cups flour\n1 teaspoon cream of tartar 1-12oz. package mini\n Chocolate chips\nMix in order given. Drop by teaspoonful onto\ncookie sheet. Bake at 350\u00b0 for 8-10 minutes.\n (over)", "correct": true, "input_tokens": 1163, "output_tokens": 954, "elapsed_seconds": 30.736053416971117, "metadata": {"question": "Transcribe all handwritten and printed text exactly as written, reading top to bottom and left to right, and omit nothing; mark only genuinely unreadable words as [illegible]. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9897, "attempts": 1, "retries": 0, "total_seconds": 30.7648}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 1, "image": "0de03edc-15c5-4782-a74b-7cedb1df477b_png.rf.357da74f0ffbbb05467a6069097f2740.jpg", "expected": "(1) 8 + 7 = 15 (9) 17 - 9 = 8\n(2) 15 - 6 = 9 (10) 7 + 9 = 16\n(3) 9 + 4 = 13 (11) 14 - 8 = 6\n(4) 13 - 5 = 8 (12) 5 + 6 = 11\n(5) 6 + 8 = 14 (13) 16 - 7 = 9\n(6) 5 + 9 = 14 (14) 3 + 7 = 10", "predicted": "(1) 8 + 7 = 15 (9) 17 - 9 = 8\n(2) 15 - 6 = 9 (10) 7 + 9 = 16\n(3) 9 + 4 = 13 (11) 14 - 8 = 6\n(4) 13 - 5 = 8 (12) 5 + 6 = 11\n(5) 6 + 8 = 14 (13) 16 - 7 = 9\n(6) 5 + 9 = 14 (14) 3 + 7 = 10", "correct": true, "input_tokens": 1178, "output_tokens": 1000, "elapsed_seconds": 21.834567583049648, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 1.0, "attempts": 1, "retries": 0, "total_seconds": 21.8492}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 2, "image": "861cb64d-800a-4635-999c-739199f8b473_png.rf.2dfcae9315498e5af9851962b9b1b65d.jpg", "expected": "2516 Country Club Rd.\nWinston Salem NC 27104\nJuly 17, 1981\n\nDr T S Osdene\nDirector of Research and Scientific Affairs\nPHILIP MORRIS USA\nResearch Center\nP.O Box 26583\nRichmond VA 23261\n\nDear Tom \u2014\n\nRe MDA NO/NOx Field Kit\n\nMDA requires prepayment before shipment\nof materials to private individuals. Accordingly\nI mailed check for $2505.00 for Kit yesterday.\nCopies for verification are enclosed. I presume\nthis will suffice to reimburse me.\n\nAs soon as MDA receives check, presumably\nJuly 20, Kit will be shipped to me by UPS and\nI will immediately trans ship by UPS to\nyou.\n\nCongrats on the birth of your son. Best wishes\nto Mrs Osdene and you.\n\n\u03a6000018736\n\nSincerely\nMurray", "predicted": "2516 Country Club Rd.\n Winston Salem NC 27104\n July 17, 1981\n\nDr T S Osdene\nDirector of Research and Scientific Affairs\nPHILIP MORRIS USA\nResearch Center\nP.O Box 26583\nRichmond VA 23261\n\nDear Tom -\n Re MDA NO/NOx Field Kit\n\n MDA requires prepayment before shipment\nof materials to private individuals. Accordingly\nI mailed check for $ 2505 00 for kit yesterday.\nCopies for verification are enclosed. I presume\nthis will suffice to reimburse me.\n As soon as MDA receives check, presumably\nJuly 20, kit will be shipped to me by UPS and\nI will immediately trans ship by UPS to\nyou.\n Congrats on the birth of your son. Best wishes\nto Mrs Osdene and you. 1000018736\n\n Sincerely\n Murray", "correct": true, "input_tokens": 1161, "output_tokens": 1479, "elapsed_seconds": 30.060381083982065, "metadata": {"question": "Transcribe all handwritten and printed text exactly as written, reading top to bottom and left to right, and omit nothing; mark only genuinely unreadable words as [illegible]. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9765, "attempts": 1, "retries": 0, "total_seconds": 30.0774}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 3, "image": "bfe2208e-9dcb-4273-9781-be20d0ae766a_png.rf.2506b1cf22374cc1de2823bf766ef968.jpg", "expected": "Ent 103326 Bk 331 Pg 470\nDate: 20-JUN-2006 2:28PM\nORDINANCE NO. CO-06-5 Fee: None\nFiled By: AKT\nBRENDA NELSON, Recorder\nMORGAN COUNTY\nAN ORDINANCE ADOPTING THE STATE WILDLIFE RESOURCES CODE\nFOR MORGAN COUNTY.\n\nWHEREAS, the Morgan County Sheriff's Office is charged with the enforcement of\nregulations and laws relating to wildlife resources within Morgan County; and\n\nWHEREAS, in the course of the Sheriff's enforcement duties it is often necessary to cite\nindividuals for violations of the various state rules regulating wildlife resources; and\n\nWHEREAS, Morgan County would like to cite violators for county ordinance violations\nrather than state code violations since violators are processed by county enforcement officers,\nprosecuted in county courts by county prosecutors, and incarcerated, if necessary, in county jails;\n\nNOW THEREFOR, the County Council of Morgan County, State of Utah, hereby\nordains as follows:\n\nWILDLIFE RESOURCES ORDINANCE\n\nSection 1. Adoption of the Utah wildlife resources Code, Rules and Regulations\n\nThe Rules and Regulations contained in Utah Code Annotated Title 23, as amended, and the\nRules promulgated thereunder, are hereby adopted as the wildlife resources Code, Rules and\nRegulations of Morgan County. Any provisions of Title 23 providing a penalty greater than a\nClass B misdemeanor, or not relating to criminal or administrative sanctions, are not incorporated\nas part of this ordinance.\n\nSection 2. Amendments\n\nIn order to assure continuing uniformity between the Utah wildlife resources Rules and\nRegulations and the Morgan County wildlife resources Rules and Regulations, this Ordinance\nwill include any and all periodic amendments to the State Rules and Regulations, Title 23, after\nthe effective date of this title, made by the Utah State Legislature or by the Utah Department of\nNatural Resources.\n\nSection 3. Effective Date\n\nThis ordinance shall take effect 15 days after passage, after required publication and after a copy\nof the ordinance is deposited with the Morgan County Clerk's Office.\n\nAPPROVED, ADOPTED, AND PASSED and ordered published by the Morgan County\nCouncil, this 6th day of June, 2006.", "predicted": "Ent 103326 Bk 231 Pg 470\nDate: 20-JUN-2006 2:28PM\nORDINANCE NO. CO-06 Fee: None\nFiled By: AKT\nBRENDA NELSON, Recorder\nAN ORDINANCE ADOPTING THE STATE WILDLIFE RESOURCES CODE MORGAN COUNTY\nFOR MORGAN COUNTY. For: MORGAN COUNTY\n\n WHEREAS, the Morgan County Sheriff's Office is charged with the enforcement of\nregulations and laws relating to wildlife resources within Morgan County; and\n\n WHEREAS, in the course of the Sheriff's enforcement duties it is often necessary to cite\nindividuals for violations of the various state rules regulating wildlife resources; and\n\n WHEREAS, Morgan County would like to cite violators for county ordinance violations\nrather than state code violations since violators are processed by county enforcement officers,\nprosecuted in county courts by county prosecutors, and incarcerated, if necessary, in county jails;\n\n NOW THEREFOR, the County Council of Morgan County, State of Utah, hereby\nordains as follows:\n\n\nWILDLIFE RESOURCES ORDINANCE\n\nSection 1. Adoption of the Utah wildlife resources Code, Rules and Regulations\n\nThe Rules and Regulations contained in Utah Code Annotated Title 23, as amended, and the\nRules promulgated thereunder, are hereby adopted as the wildlife resources Code, Rules and\nRegulations of Morgan County. Any provisions of Title 23 providing a penalty greater than a\nClass B misdemeanor, or not relating to criminal or administrative sanctions, are not incorporated\nas part of this ordinance.\n\nSection 2. Amendments\n\nIn order to assure continuing uniformity between the Utah wildlife resources Rules and\nRegulations and the Morgan County wildlife resources Rules and Regulations, this Ordinance\nwill include any and all periodic amendments to the State Rules and Regulations, Title 23, after\nthe effective date of this title, made by the Utah State Legislature or by the Utah Department of\nNatural Resources.\n\nSection 3. Effective Date\n\nThis ordinance shall take effect 15 days after passage, after required publication and after a copy\nof the ordinance is deposited with the Morgan County Clerk's Office.\n\n\n APPROVED, ADOPTED, AND PASSED and ordered published by the Morgan County\nCouncil, this 6th day of June , 2006.", "correct": true, "input_tokens": 1168, "output_tokens": 5507, "elapsed_seconds": 64.50029150000773, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9734, "attempts": 2, "retries": 1, "total_seconds": 129.8111, "transient_errors": ["RemoteProtocolError"]}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 4, "image": "d6b410b8-2381-4e65-8113-2dbcca295990_png.rf.794671b291d105d363ebd6d8d93b3fc8.jpg", "expected": "THIS SENTENCE WAS WRITTEN BY SOMEONE WITH DYSGRAPHIA", "predicted": "THIS SENTENCE WAS WRITTEN BY SOM\n EONE WITH Dysgraphia", "correct": false, "input_tokens": 1181, "output_tokens": 976, "elapsed_seconds": 15.076311874901876, "metadata": {"question": "Transcribe all handwritten and printed text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.7963, "attempts": 1, "retries": 0, "total_seconds": 15.0897}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 5, "image": "9c225ac4-3b44-42cf-a0dc-4a3984c5bac9_png.rf.1455a695dcdb15839a0deb51bf270c04.jpg", "expected": "When I built menugen ~1 year ago, I observed that the hardest part by far was not the code itself, it was the plethora of services you have to assemble like IKEA furniture to make it real, the DevOps: services, payments, auth, database, security, domain names, etc...\n\nI am really looking forward to a day where I could simply tell my agent: \"build menugen\" (referencing the post) and it would just work. The whole thing up to the deployed web page. The agent would have to browse a number of services, read the docs, get all the api keys, make everything work, debug it in dev, and deploy to prod. This is the actually hard part, not the code itself. Or rather, the better way to think about it is that the entire DevOps lifecycle has to become code, in addition to the necessary sensors/actuators of the CLIs/APIs with agent-native ergonomics. And there should be no need to visit web pages, click buttons, or anything like that for the human.\n\nIt's easy to state, it's now just barely technically possible and expected to work maybe, but it definitely requires from-scratch re-design, work and thought. Very exciting direction!", "predicted": "Andrej Karpathy\n@karpathy\n\nWhen I built menugen ~1 year ago, I observed that the hardest part by far\nwas not the code itself, it was the plethora of services you have to\nassemble like IKEA furniture to make it real, the DevOps: services,\npayments, auth, database, security, domain names, etc...\n\nI am really looking forward to a day where I could simply tell my agent:\n\"build menugen\" (referencing the post) and it would just work. The whole\nthing up to the deployed web page. The agent would have to browse a\nnumber of services, read the docs, get all the api keys, make everything\nwork, debug it in dev, and deploy to prod. This is the actually hard part,\nnot the code itself. Or rather, the better way to think about it is that the\nentire DevOps lifecycle has to become code, in addition to the necessary\nsensors/actuators of the CLIs/APIs with agent-native ergonomics. And\nthere should be no need to visit web pages, click buttons, or anything\nlike that for the human.\n\nIt's easy to state, it's now just barely technically possible and expected\nto work maybe, but it definitely requires from-scratch re-design, work\nand thought. Very exciting direction!", "correct": true, "input_tokens": 1173, "output_tokens": 2384, "elapsed_seconds": 37.75480237498414, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom, keeping each author's handle with their message, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the top-level tweet authored by Andrej Karpathy (@karpathy).", "match_method": "similarity", "score": 0.9646, "attempts": 1, "retries": 0, "total_seconds": 37.7733}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 6, "image": "9fdae0ac-7d89-45f1-b628-bcdbac72c185_png.rf.7b62d1c22ac071a0003f46d2feaae5e5.jpg", "expected": "```javascript\nconst BROWSER_APP_NAMES = new Set([\n \"google chrome\",\n \"google chrome canary\",\n \"chromium\",\n \"microsoft edge\",\n \"mozilla firefox\",\n \"firefox\",\n \"opera\",\n \"brave browser\",\n \"vivaldi\",\n \"arc\",\n]);\n```", "predicted": "```javascript\nconst BROWSER_APP_NAMES = new Set([\n \"google chrome\",\n \"google chrome canary\",\n \"chromium\",\n \"microsoft edge\",\n \"mozilla firefox\",\n \"firefox\",\n \"opera\",\n \"brave browser\",\n \"vivaldi\",\n \"arc\",\n]);\n```", "correct": false, "input_tokens": 1219, "output_tokens": 790, "elapsed_seconds": 10.402971541043371, "metadata": {"question": "Transcribe every piece of text in this screenshot exactly as written, in reading order, and omit nothing. Put source code inside fenced code blocks, preserving indentation, quotes, and casing exactly, and transcribe surrounding interface text as Markdown. Transcribe only the definition of the `BROWSER_APP_NAMES` constant shown in the code editor, and ignore all other code, the editor chrome, file tabs, sidebars, and the terminal.", "match_method": "similarity", "score": 0.9107, "attempts": 1, "retries": 0, "total_seconds": 10.428}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 7, "image": "5cf55f37-8adb-4adb-9520-148340548028_png.rf.d09a7340877434f1cbdb25f1eccd4774.jpg", "expected": "TOM GREEN HANDYMAN\n5 Any Street, Any City, That Area Code\nTelephone: 0800 XXX XXX\n\nDate : 6/5/2016\nInvoice No : 0003521\nTax Registered No 123456\n\nMr and Mrs Fielding\nThis Address\nThis City\nThis Area Code\n\nTAX INVOICE\n\n
QuantityDescriptionUnit PriceCost
Upgrade to Bathroom
23.75Labour40.00950.00
50Nails and screws0.8040.00
1Paint and Plywood1000.001000.00
40Imported wall tiles14.00560.00
1Freight150.00150.00
1Sub-contractor : Tile-It228.00
Subtotal2928.00
Tax439.20
Total Due$3,367.20
\n\nPayment due by the 10th of the month following the date of invoice.\nPlease make payment into Bank Account No. 12 3456 789112 012\n\nInterest of 10% per year will be charged on late payments.\n\nCut here\n\nRemittance\n\nMr and Mrs Fielding\n\nTOM GREEN HANDYMAN\n5 Any Street\nAny City\nThat Area Code\n\nAmount Due $3,367.20\nAmount Paid ______", "predicted": "TOM GREEN HANDYMAN\n5 Any Street, Any City, That Area Code\nTelephone: 0800 XXX XXX\n\nDate : 6/5/2016 Invoice No : 0003521\n\nTax Registered No 123456\nMr and Mrs Fielding\nThis Address\nThis City\nThis Area Code\n\nT A X I N V O I C E\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
QuantityDescriptionUnit PriceCost
Upgrade to Bathroom
23.75Labour40.00950.00
50Nails and screws0.8040.00
1Paint and Plywood1000.001000.00
40Imported wall tiles14.00560.00
1Freight150.00150.00
1Sub-contractor : Tile-It228.00
Subtotal2928.00
Tax439.20
Total Due$3,367.20
\n\nPayment due by the 10th of the month following the date of invoice.\nPlease make payment into Bank Account No. 12 3456 789112 012\n\nInterest of 10% per year will be charged on late payments.\n\nCut here\nRemittance\nMr and Mrs Fielding\nTOM GREEN HANDYMAN\n5 Any Street Amount Due $3,367.20\nAny City\nThat Area Code Amount Paid", "correct": false, "input_tokens": 1194, "output_tokens": 3525, "elapsed_seconds": 37.7149542090483, "metadata": {"question": "Transcribe all text in this document exactly and completely, in reading order, preserving casing, punctuation, currency symbols, and codes. Use an HTML table only for genuinely tabular content, mirroring its rows, columns, and merged cells; write the HTML on single lines with no indentation or blank lines between tags, and collapse horizontal alignment to a single space.", "match_method": "similarity", "score": 0.9191, "attempts": 1, "retries": 0, "total_seconds": 37.7305}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 8, "image": "1bce4a54-e6bc-4752-b48e-d9889895936a_png.rf.6f12b4139eeac41161f2fb59dad48237.jpg", "expected": "I run hermes handling whatsapp, email, cron jobs, building apps, outreaching customers, outbound and inbound calls \u2014 the whole thing. hasn't needed babysitting in weeks. if you're on the fence just try it. worst case you go back. but I don't think you will", "predicted": "Falcon @Falconve_ \u00b7 6\u5c0f\u65f6\nI run hermes handling whatsapp, email, cron jobs, building apps,\noutreaching customers, outbound and inbound calls \u2014 the whole thing.\nhasn't needed babysitting in weeks. if you're on the fence just try it. worst\ncase you go back. but I don't think you will", "correct": false, "input_tokens": 1159, "output_tokens": 1011, "elapsed_seconds": 35.23392529191915, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom, keeping each author's handle with their message, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the last (bottom-most) tweet in the thread by Falcon (@Falconve_).", "match_method": "similarity", "score": 0.9036, "attempts": 1, "retries": 0, "total_seconds": 35.2689}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 9, "image": "eb592312-33c0-41ff-91ec-6e87ad25f12e_png.rf.ad80ac2d57c33733bd20600e13e312f3.jpg", "expected": "(SAE09TR.72) A 13-year-old girl sustained an isolated midshaft left femoral fracture in a motor vehicle accident. The fracture was treated with a rigid, antegrade intramedullary nail placed through the piriformis fossa. The fracture healed uneventfully, as shown in Figure 46a; however, at 12 months postoperatively she now reports left hip pain. A current AP radiograph and MRI scan are shown in Figures 46b and 46c. What complication occurred in this patient? Review Topic\n\n1 Chondrolysis\n2 Ischemic necrosis of the femoral head\n3 Ischemic necrosis of the greater trochanter\n4 Femoral neck fracture\n5 Trochanteric overgrowth\n\nPREFERRED RESPONSE 2\n\nThe development of femoral head ischemic necrosis is the iatrogenically created complication in this skeletally immature patient. Placement of a rigid, antegrade intramedullary nail through the piriformis fossa is likely to damage the vascular supply to the femoral head as the vessels ascend the femoral neck on the way to the femoral head. The MRI scan reveals ischemic necrosis with early collapse of the femoral head. The joint space is preserved on the MRI scan, ruling out chondrolysis.\n\n(SAE08OS.196) An adult patient has had low-grade fevers, malaise, and joint pain for the past several days. Examination reveals an erythematous \"bulls eye\" rash over the right thigh (erythema migrans). What is the organism associated with this infection? Review Topic", "predicted": "(SAE09TR.72) A 13-year-old girl sustained an isolated midshaft left femoral fracture in a motor vehicle accident. The fracture was treated with a rigid, antegrade intramedullary nail placed through the piriformis fossa. The fracture healed uneventfully, as shown in Figure 46a; however, at 12 months postoperatively she now reports left hip pain. A current AP radiograph and MRI scan are shown in Figures 46b and 46c. What complication occurred in this patient? Review Topic\n\n*1* Chondrolysis \n*2* Ischemic necrosis of the femoral head \n*3* Ischemic necrosis of the greater trochanter \n*4* Femoral neck fracture \n*5* Trochanteric overgrowth \n\nPREFERRED RESPONSE 2\n\nThe development of femoral head ischemic necrosis is the iatrogenically created complication in this skeletally immature patient. Placement of a rigid, antegrade intramedullary nail through the piriformis fossa is likely to damage the vascular supply to the femoral head as the vessels ascend the femoral neck on the way to the femoral head. The MRI scan reveals ischemic necrosis with early collapse of the femoral head. The joint space is preserved on the MRI scan, ruling out chondrolysis.\n\n
\n\n(SAE08OS.196) An adult patient has had low-grade fevers, malaise, and joint pain for the past several days. Examination reveals an erythematous \"bulls eye\" rash over the right thigh (erythema migrans). What is the organism associated with this infection? Review Topic", "correct": true, "input_tokens": 1169, "output_tokens": 1270, "elapsed_seconds": 17.326520291971974, "metadata": {"question": "Transcribe every piece of text in this image exactly as written, in reading order, preserving question and option numbering, and omit nothing. Write mathematical expressions in LaTeX and format the result as Markdown that mirrors the layout.", "match_method": "similarity", "score": 0.9888, "attempts": 1, "retries": 0, "total_seconds": 17.3633}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 10, "image": "c50bed4d-e825-46b7-ac5c-a84806fa0481_png.rf.dbad52cae24c6759d646ebb0ad6c30a3.jpg", "expected": "```python\nimport random\n\ndef roll_dice(n=2, sides=6):\n return [random.randint(1, sides) for _ in range(n)]\n\ndef magic_8ball():\n responses = [\n \"Yes\", \"No\", \"Maybe\", \"Ask again later\",\n \"Absolutely\", \"No way\", \"Signs point to yes\",\n \"Don't count on it\", \"Without a doubt\",\n ]\n return random.choice(responses)\n\nif __name__ == \"__main__\":\n print(f\"Rolling 2 dice: {roll_dice()}\")\n print(f\"Magic 8-Ball says: {magic_8ball()}\")\n print(f\"Your lucky number: {random.randint(1, 100)}\")\n```", "predicted": "```python\nimport random\n\ndef roll_dice(n=2, sides=6):\n return [random.randint(1, sides) for _ in range(n)]\n\ndef magic_8ball():\n responses = [\n \"Yes\", \"No\", \"Maybe\", \"Ask again later\",\n \"Absolutely\", \"No way\", \"Signs point to yes\",\n \"Don't count on it\", \"Without a doubt\",\n ]\n return random.choice(responses)\n\nif __name__ == \"__main__\":\n print(f\"Rolling 2 dice: {roll_dice()}\")\n print(f\"Magic 8-Ball says: {magic_8ball()}\")\n print(f\"Your lucky number: {random.randint(1, 100)}\")\n```", "correct": true, "input_tokens": 1171, "output_tokens": 884, "elapsed_seconds": 16.494163917028345, "metadata": {"question": "Transcribe every piece of text in this screenshot exactly as written, in reading order, and omit nothing. Put source code inside fenced code blocks, preserving indentation, quotes, and casing exactly, and transcribe surrounding interface text as Markdown. Transcribe only the code shown in the editor pane, ignoring the editor chrome, file tabs, sidebars, and the line-number gutter.", "match_method": "similarity", "score": 1.0, "attempts": 1, "retries": 0, "total_seconds": 16.6136}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 11, "image": "d0980bab-2f15-4550-b3e6-813a2ad7e709_png.rf.4002baedf14c91e52686c70ec58fd7f0.jpg", "expected": "Example 3 (HW)\nEach of the numbers 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 is written\non a separate piece of paper. The 10 pieces of paper\nare then placed in a hat. If one piece of paper is\nselected at random from hat, estimate the probability\nthat:\n(i) the number written on piece of paper is an even\nnumber or greater than 6.\n(ii) the number written on piece of paper is less than 5\nor greater than 8.\n(iii) the number written on piece of paper is divisible by 4.\n(iv) the \" \" \" \" \" \" \" at least 7.\n(v) \" \" \" \" \" \" \" at most 3.", "predicted": "Example 3 (HW)\nEach of the numbers 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 is written\non a separate piece of paper. The 10 pieces of paper\nare then placed in a hat. If one piece of paper is\nselected at random from hat, estimate the probability\n that:\n(i) the number written on piece of paper is an even\n number or greater than 6.\n(ii) the number written on piece of paper is less than 5\n or greater than 8.\n(iii) the number written on piece of paper is divisible by 4.\n(iv) the \" \" \" \" \" \" \" at least 7.\n(v) \" \" \" \" \" \" \" \" at most 3.\nCS Scanned with CamScanner", "correct": false, "input_tokens": 1180, "output_tokens": 1232, "elapsed_seconds": 18.97718154208269, "metadata": {"question": "Transcribe all handwritten and printed text exactly as written, reading top to bottom and left to right, and omit nothing; mark only genuinely unreadable words as [illegible]. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9419, "attempts": 1, "retries": 0, "total_seconds": 19.0394}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 12, "image": "00099ca8-7388-4ccb-a9ae-0def0f38e1d4_png.rf.87454ebaa2a188c18aadac0664ef70f6.jpg", "expected": "I'm losing so much money every single second I dont spend in the states. Every day I wake up, I'm hyperventilating about the fact that I am irresponsibly putting my young family's future at great risk because I can't but help listen to my gut. I am filled with doubt every day", "predicted": "kache @yacineMTB \u00b7 9\u5c0f\u65f6\nI'm losing so much money every single second I dont spend in the states.\nEvery day I wake up, I'm hyperventilating about the fact that I am\nirresponsibly putting my young family's future at great risk because I can't\nbut help listen to my gut. I am filled with doubt every day\nstainlesssteelcockroach @stainle55446702 \u00b7 10\u5c0f\u65f6\n\u56de\u590d @yacineMTB\nYou would like it down south as well. Where engineers are honored as\nthe future.....\n40 1 248 2.5\u4e07", "correct": false, "input_tokens": 1188, "output_tokens": 2261, "elapsed_seconds": 33.72368445794564, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom, keeping each author's handle with their message, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the first tweet by kache (@yacineMTB).", "match_method": "similarity", "score": 0.5935, "attempts": 2, "retries": 1, "total_seconds": 100.3813, "transient_errors": ["RemoteProtocolError"]}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 13, "image": "838b00ad-2a6d-4bc7-84a3-d3cb3e6fdfb8_png.rf.86b85c55a59bba487946e192adc78406.jpg", "expected": "The French Revolution began in 1789 in France and was caused by several political, social, and economic factors. One major cause was the inequality in the social structure known as the Estates System, where the clergy and nobility enjoyed privileges while the common people had to pay heavy taxes. Another cause was the financial crisis faced by the monarchy due to wars and extravagant spending by Louis XVI and the royal court.\n\nThe influence of Enlightenment thinkers also played a significant role. Philosophers like Jean-Jacques Rousseau and Voltaire promoted ideas of liberty, equality, and popular sovereignty. These ideas encouraged people to question the authority of the monarchy.\n\nThe revolution had major effects on French society and politics. The monarchy was abolished, and France eventually became a republic. The revolution led to the Reign of Terror, during which many people were executed. In the long term, the revolution spread the ideals of liberty, equality, and fraternity across Europe and influenced many future democratic movements.", "predicted": "The French Revolution began in 1789 in France and was caused by several political, social, and economic factors. One major cause was the\ninequality in the social structure known as the Estates System, where the clergy and nobility enjoyed privileges while the common people had\nto pay heavy taxes. Another cause was the financial crisis faced by the monarchy due to wars and extravagant spending by Louis XVI and the\nroyal court.\n\nThe influence of Enlightenment thinkers also played a significant role. Philosophers like Jean-Jacques Rousseau and Voltaire promoted ideas\nof liberty, equality, and popular sovereignty. These ideas encouraged people to question the authority of the monarchy.\n\nThe revolution had major effects on French society and politics. The monarchy was abolished, and France eventually became a republic. The\nrevolution led to the Reign of Terror, during which many people were executed. In the long term, the revolution spread the ideals of\nliberty, equality, and fraternity across Europe and influenced many future democratic movements.", "correct": true, "input_tokens": 1140, "output_tokens": 778, "elapsed_seconds": 11.351721209008247, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9943, "attempts": 1, "retries": 0, "total_seconds": 11.3641}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 14, "image": "efe6537c-b164-43c1-8a9b-a329c7b96ec1_png.rf.96d23b9a67c8c503dd57cc8ddb11363b.jpg", "expected": "Clinical Nurse Manager Sep 2012 \u2013 Jul 2014\nBarron Center \u2013 Portland, ME\nManaged nursing operations on a 26-bed skilled rehabilitation unit, ensuring effective clinical care delivery.\n\u2022 Supervised nursing staff performance and provided ongoing competency evaluations.\n\u2022 Developed individualized care plans in collaboration with physicians and rehabilitation teams.\n\u2022 Implemented policies and procedures to meet regulatory and accreditation requirements.\n\nRegistered Nurse, Medical-Surgical Unit (Float Pool) Jun 2012 \u2013 Sep 2012\nMercy Hospital \u2013 Portland, ME\nProvided direct patient care within medical-surgical units, ensuring safe and effective treatment delivery.\n\u2022 Performed comprehensive physical assessments and monitored patient progress.\n\u2022 Administered medications and documented interventions per hospital protocols.\n\u2022 Collaborated with multidisciplinary teams to coordinate and plan care.\n\nEDUCATION, CERTIFICATIONS & LICENSURE\n\nBachelor of Science in Nursing (BSN)\nWestern Governors University, Salt Lake City, UT | Graduated January 2019\n\nAssociate of Science in Nursing (ASN)\nCollege of Nursing and Health Professions, Lewiston, ME | Graduated May 2010\n\nCertifications & Licensure\n\u2022 Registered Nurse (RN License #R057634) \u2013 State of Maine\n\u2022 Basic Life Support (BLS) \u2013 Current through December 2027\n\u2022 Educated in: Accountable Care Organizations (ACOs), Patient-Driven Payment Model (PDPM)\n\u2022 Clinical Systems Proficiency: Cerner / PowerChart, EPIC, Quantum, PointClickCare\n\u2022 Utilization Review Tools: InterQual, NaviHealth, CarePort\n\u2022 Analytics & Administrative Systems: Salesforce, Tableau, Microsoft Excel & PowerPoint, ADP, SAP Concur\n\nSKILLS & ADDITIONAL INFORMATION\n\nTechnical Skills\n\u2022 Clinical Systems & EMRs: Cerner / PowerChart, EPIC, Quantum, PointClickCare\n\u2022 Utilization Management Tools: InterQual, NaviHealth, CarePort\n\u2022 Data & Analytics Platforms: Tableau, Salesforce\n\u2022 Productivity Software: Microsoft Office Suite (Excel, PowerPoint, Word, Outlook)\n\u2022 Administrative Systems: ADP, SAP Concur\n\u2022 Quality & Compliance Tools: Electronic Health Record Audit Systems, Core Measure Review PlatformDedicated and results-\ndriven Recruiter/Talent Acquisition Specialist.\n\nPersonal Strengths\n\u2022 Strong leadership and team mentorship abilities\n\u2022 Critical thinking and complex problem-solving\n\u2022 Effective interdisciplinary communication and collaboration\n\u2022 Process improvement and workflow optimization\n\u2022 Independent and solution-focused decision-making\n\u2022 High attention to detail and documentation accuracy\n\u2022 Adaptable to evolving healthcare technologies and remote environments\n\u2022 Empathetic approach to patient advocacy and care coordination\n\nReferences are available upon request", "predicted": "Clinical Nurse Manager Sep 2012 \u2013 Jul 2014\nBarron Center \u2013 Portland, ME\nManaged nursing operations on a 26-bed skilled rehabilitation unit, ensuring effective clinical care delivery.\n \u2022 Supervised nursing staff performance and provided ongoing competency evaluations.\n \u2022 Developed individualized care plans in collaboration with physicians and rehabilitation teams.\n \u2022 Implemented policies and procedures to meet regulatory and accreditation requirements.\n\nRegistered Nurse, Medical-Surgical Unit (Float Pool) Jun 2012 \u2013 Sep 2012\nMercy Hospital \u2013 Portland, ME\nProvided direct patient care within medical-surgical units, ensuring safe and effective treatment delivery.\n \u2022 Performed comprehensive physical assessments and monitored patient progress.\n \u2022 Administered medications and documented interventions per hospital protocols.\n \u2022 Collaborated with multidisciplinary teams to coordinate and plan care.\n\nEDUCATION, CERTIFICATIONS & LICENSURE\n\nBachelor of Science in Nursing (BSN)\nWestern Governors University, Salt Lake City, UT | Graduated January 2019\n\nAssociate of Science in Nursing (ASN)\nCollege of Nursing and Health Professions, Lewiston, ME | Graduated May 2010\n\nCertifications & Licensure\n \u2022 Registered Nurse (RN License #R057634) \u2013 State of Maine\n \u2022 Basic Life Support (BLS) \u2013 Current through December 2027\n \u2022 Educated in: Accountable Care Organizations (ACOs), Patient-Driven Payment Model (PDPM)\n \u2022 Clinical Systems Proficiency: Cerner / PowerChart, EPIC, Quantum, PointClickCare\n \u2022 Utilization Review Tools: InterQual, NaviHealth, CarePort\n \u2022 Analytics & Administrative Systems: Salesforce, Tableau, Microsoft Excel & PowerPoint, ADP, SAP Concur\n\nSKILLS & ADDITIONAL INFORMATION\n\nTechnical Skills\n \u2022 Clinical Systems & EMRs: Cerner / PowerChart, EPIC, Quantum, PointClickCare\n \u2022 Utilization Management Tools: InterQual, NaviHealth, CarePort\n \u2022 Data & Analytics Platforms: Tableau, Salesforce\n \u2022 Productivity Software: Microsoft Office Suite (Excel, PowerPoint, Word, Outlook)\n \u2022 Administrative Systems: ADP, SAP Concur\n \u2022 Quality & Compliance Tools: Electronic Health Record Audit Systems, Core Measure Review PlatformDedicated and results-\n driven Recruiter/Talent Acquisition Specialist.\n\nPersonal Strengths\n \u2022 Strong leadership and team mentorship abilities\n \u2022 Critical thinking and complex problem-solving\n \u2022 Effective interdisciplinary communication and collaboration\n \u2022 Process improvement and workflow optimization\n \u2022 Independent and solution-focused decision-making\n \u2022 High attention to detail and documentation accuracy\n \u2022 Adaptable to evolving healthcare technologies and remote environments\n \u2022 Empathetic approach to patient advocacy and care coordination\n\n References are available upon request", "correct": true, "input_tokens": 1178, "output_tokens": 3026, "elapsed_seconds": 31.230415750062093, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9897, "attempts": 1, "retries": 0, "total_seconds": 31.2466}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 15, "image": "e21e8de4-67cb-4b99-acaf-7c73dc28df9f_png.rf.c9c271f7c9fe67f7186ee45aebf42a40.jpg", "expected": "ACS PLUS\n\nADVERTISING COMMUNICATION SERVICES\n\nBloc 17 App 233 1003 Cit\u00e9 les Olympiades\n\nTEL 71 771 324 FAX 71 770 682\n\nCode TVA1243006M/A/M/000\n\nEmail: acs.info@topnet.tn\n\nDEVIS N\u00b0 89-24\n\nClient: IEEE\n\nCode TVA:\n\nAdresse:\n\nT\u00e9l: Fax:\n\nTunis le 12/04/24\n\nCCB : 03210119011500465159A BNA KHERREDINE PACHA\n\n
R\u00e9f\u00e9renceD\u00e9signationQuantit\u00e9P. U.T.V.A.P.H.T.
Rollup 2 x 0,851170.00019%170.000
Pins1201.40019%168.000
Affiche A4 120 g impression R/V301.00019%30.000
Total H.T.368.000
Remise
Total HT368.000
\n\n
Total T.V.A. 10%
Total T.V.A. 7%
Total T.V.A. 19%69.920
Total T.V.A. 29%
Timbre Fiscal1.000
Total T.T.C.438.920
\n\n,\n\nArr\u00eat\u00e9 le pr\u00e9sent devis \u00e0 la somme de:\n\nDIRECTION COMMERCIALE", "predicted": "ACS PLUS\nADVERTISING COMMUNICATION SERVICES\nBloc 17 App 233 1003 Cit\u00e9 les Olympiades\nTEL 71 771 324 FAX 71 770 682\nCode TVA1243006M/A/M/000\nEmail: acs.info@topnet.tn\n\nDEVIS N\u00b0 89-24\nClient: IEEE\nCode TVA:\nAdresse:\nT\u00e9l: Fax:\n\nTunis le 12/04/24\nCCB : 03210119011500465159A BNA KHERREDINE PACHA\n\n
R\u00e9f\u00e9renceD\u00e9signationQuantit\u00e9P. U.T.V.A.P.H.T.
Rollup 2 x 0,851170.00019%170.000
Pins1201.40019%168.000
Affiche A4 120 g impression R/V301.00019%30.000
Total H.T.368.000
Remise
Total HT368.000
Total T.V.A. 10%
Total T.V.A. 7%
Total T.V.A. 19%69.920
Total T.V.A. 29%
Timbre Fiscal1.000
Total T.T.C.438.920
\n\nArr\u00eat\u00e9 le pr\u00e9sent devis \u00e0 la somme de:\n\nDIRECTION COMMERCIALE", "correct": false, "input_tokens": 1194, "output_tokens": 2799, "elapsed_seconds": 28.56429912499152, "metadata": {"question": "Transcribe all text in this document exactly and completely, in reading order, preserving casing, punctuation, currency symbols, and codes. Use an HTML table only for genuinely tabular content, mirroring its rows, columns, and merged cells; write the HTML on single lines with no indentation or blank lines between tags, and collapse horizontal alignment to a single space.", "match_method": "similarity", "score": 0.8564, "attempts": 1, "retries": 0, "total_seconds": 28.5714}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 16, "image": "280f2634-897d-499e-9e0e-2426fb6ed193_png.rf.de84ffe2f1cd78e0c4f16f319320c449.jpg", "expected": "Deloitte.\n\nDeloitte Touche Tohmatsu\nIndia LLP\nPrestige Trade Tower, Level 19\n46, Palace Road, High Grounds\nBengaluru - 560 001\nKarnataka, India\n\nTel: +91 80 6188 6000\nFax: +91 80 6188 6011\nwww.deloitte.com\n\nStrictly Private and Confidential\n\nDate: 8 July, 2025\n\nFlipkart Internet Private Limited\nAlyssa Begonia and Clover,\nEmbassy Tech Village ORR,\nDevarabeesanahalli Village,\nVarthur Hobli, Bangalore - 560103, Karnataka\n\nKind Attention: Mr. Kamal Chopra\n\nDear Sir,\n\nRe: Indirect Tax Services \u2013 Engagement Letter\n\nWe thank you for giving an opportunity to Deloitte Touche Tohmatsu India LLP (\u201cDTTI LLP\u201d or \u201cService Provider\u201d) to assist FLIPKART INTERNET PRIVATE LIMITED (\u201cClient\u201d/\u201dFKN\u201d/\u201dCompany\u201d) in Indirect tax services (\u201cServices\u201d) for the benefit of the Client and the subsidiaries and/or Affiliates of the Client as specified in Annexure-2.\n\n(The identified subsidiaries and Affiliates in Annexure-2 together with the Client, are hereinafter collectively referred to as \u201cBeneficiary/(ies)\u201d). The Services will be provided in accordance with and subject to the provisions of this engagement letter (including any Work Orders/Statement of Work and Annexures 1, 2, 3, 4, 5 and 6 hereto) (\u201cEngagement Letter\u201d) and the Standard Tax Terms attached hereto (the Engagement Letter and Standard Tax Terms hereinafter are collectively referred to as collectively \u201cContract\u201d).\n\n1. BACKGROUND\n\n1.1 Flipkart Internet Private Limited is a company which owns the E-commerce portal \u201cFlipkart.com\u201d. It functions as a marketplace wherein various business entities can list their products in the website in return to a fee charged to use its portal.\n\n1.2 We further understand that the company receives revenue through payment gateway services, hosting services, advertisement services, etc and is also engaged in fulfilment services rendered to the sellers listed on the website.\n\n1.3 We would be glad to provide assistance, more specifically described in below paragraph(s).", "predicted": "Deloitte.\nDeloitte Touche Tohmatsu\nIndia LLP\nPrestige Trade Tower, Level 19\n46, Palace Road, High Grounds\nBengaluru - 560 001\nKarnataka, India\n\nTel: +91 80 6188 6000\nFax: +91 80 6188 6011\nwww.deloitte.com\n\nStrictly Private and Confidential\n\nDate: 8 July, 2025\n\nFlipkart Internet Private Limited\nAlyssa Begonia and Clover,\nEmbassy Tech Village ORR,\nDevarabeesanahalli Village,\nVarthur Hobli, Bangalore - 560103, Karnataka\n\nKind Attention: Mr. Kamal Chopra\n\nDear Sir,\nRe: Indirect Tax Services \u2013 Engagement Letter\n\nWe thank you for giving an opportunity to Deloitte Touche Tohmatsu India LLP (\u201cDTTI LLP\u201d or \u201cService\nProvider\u201d) to assist FLIPKART INTERNET PRIVATE LIMITED (\u201cClient\u201d/\u201dFKN\u201d/\u201dCompany\u201d) in Indirect tax\nservices (\u201cServices\u201d) for the benefit of the Client and the subsidiaries and/or Affiliates of the Client as\nspecified in Annexure-2.\n\n(The identified subsidiaries and Affiliates in Annexure-2 together with the Client, are hereinafter collectively\nreferred to as \u201cBeneficiary/(ies)\u201d). The Services will be provided in accordance with and subject to the\nprovisions of this engagement letter (including any Work Orders/Statement of Work and Annexures 1, 2, 3,\n4, 5 and 6 hereto) (\u201cEngagement Letter\u201d) and the Standard Tax Terms attached hereto (the Engagement\nLetter and Standard Tax Terms hereinafter are collectively referred to as collectively \u201cContract\u201d).\n\n1. BACKGROUND\n\n1.1 Flipkart Internet Private Limited is a company which owns the E-commerce portal \u201cFlipkart.com\u201d.\nIt functions as a marketplace wherein various business entities can list their products in the website\nin return to a fee charged to use its portal.\n\n1.2 We further understand that the company receives revenue through payment gateway services,\nhosting services, advertisement services, etc and is also engaged in fulfilment services rendered to\nthe sellers listed on the website.\n\n1.3 We would be glad to provide assistance, more specifically described in below paragraph(s).\n\nMamatha", "correct": true, "input_tokens": 1161, "output_tokens": 2368, "elapsed_seconds": 29.853604582953267, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9888, "attempts": 1, "retries": 0, "total_seconds": 29.8877}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 17, "image": "93441566-50c0-4bfb-9a31-437a2bc5e4f2_png.rf.cd5bf1f53754c220ec912b1c44ade759.jpg", "expected": "2\n3000\nCOUNTER +2000\nActivate:Main Once Per Turn You may add 1 card from your Life area to your hand: This Character gains +2000 power during this turn. Then, give this Character up to 2 rested DON!! cards.\nCHARACTER\nSanji\nStraw Hat Crew\nOP01-013", "predicted": "2 3000 \u6253\nSTRIKE\nCOUNTER +2000\nActivate:Main Once Per Turn You may add 1 card from\nyour Life area to your hand: This Character gains +2000\npower during this turn. Then, give this Character up to 2\nrested DON!! cards.\nCHARACTER\nSanji\nStraw Hat Crew OP01-013 R 1\n\u00a9E.O./S \u00a9E.O./S., T.A. BANDAI MADE IN JAPAN", "correct": false, "input_tokens": 1178, "output_tokens": 895, "elapsed_seconds": 11.810651624924503, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.7954, "attempts": 1, "retries": 0, "total_seconds": 11.8265}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 18, "image": "2e43ea51-fc34-4d42-8b0f-66b2172d81f7_png.rf.345ac976ac43b542da24279e8683876b.jpg", "expected": "Q.5\n\nLet $L_1$ be the line of intersection of the planes given by the equations\n\n$$2x + 3y + z = 4 \\quad \\text{and} \\quad x + 2y + z = 5.$$\n\nLet $L_2$ be the line passing through the point $P(2, -1, 3)$ and parallel to $L_1$. Let $M$ denote the plane given by the equation\n\n$$2x + y - 2z = 6.$$\n\nSuppose that the line $L_2$ meets the plane $M$ at the point $Q$. Let $R$ be the foot of the perpendicular drawn from $P$ to the plane $M$ .\n\nThen which of the following statements is (are) TRUE?\n\n| | |\n|---|---|\n| (A) | The length of the line segment $PQ$ is $9\\sqrt{3}$ |\n| (B) | The length of the line segment $QR$ is $15$ |\n| (C) | The area of $\\triangle PQR$ is $\\dfrac{3}{2}\\sqrt{234}$ |\n| (D) | The acute angle between the line segments $PQ$ and $PR$ is $\\cos^{-1}\\left(\\dfrac{1}{2\\sqrt{3}}\\right)$ |\n\nAnswer: A, C\n\n3/9", "predicted": "**Q.5** Let $L_1$ be the line of intersection of the planes given by the equations\n\n$$2x + 3y + z = 4 \\text{ and } x + 2y + z = 5 .$$\n\nLet $L_2$ be the line passing through the point $P(2, -1, 3)$ and parallel to $L_1$. Let $M$ denote the plane given by the equation\n\n$$2x + y - 2z = 6 .$$\n\nSuppose that the line $L_2$ meets the plane $M$ at the point $Q$. Let $R$ be the foot of the perpendicular drawn from $P$ to the plane $M$ .\n\nThen which of the following statements is (are) TRUE?\n\n| | |\n| :--- | :--- |\n| (A) | The length of the line segment $PQ$ is $9\\sqrt{3}$ |\n| (B) | The length of the line segment $QR$ is $15$ |\n| (C) | The area of $\\Delta PQR$ is $\\frac{3}{2}\\sqrt{234}$ |\n| (D) | The acute angle between the line segments $PQ$ and $PR$ is $\\cos^{-1}\\left(\\frac{1}{2\\sqrt{3}}\\right)$ |\n\n**Answer: A, C**\n\n---\n3/9", "correct": false, "input_tokens": 1184, "output_tokens": 1463, "elapsed_seconds": 22.47975249995943, "metadata": {"question": "Transcribe every piece of text in this image exactly as written, in reading order, preserving question and option numbering, and omit nothing. Write mathematical expressions in LaTeX and format the result as Markdown that mirrors the layout.", "match_method": "similarity", "score": 0.9467, "attempts": 1, "retries": 0, "total_seconds": 22.4938}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 19, "image": "8b690a3e-b9cd-48e1-a323-981e43142145_png.rf.84216f941b59ba17963217ea5bea26e9.jpg", "expected": "Question 37:\nConsider a system with six I/O-bound processes and one CPU-bound process. Each I/O-bound process executes for 1 ms before blocking for a 12 ms I/O operation. The context-switch overhead is 0.1 ms.\nUsing Round-Robin scheduling:\na. Time quantum = 1 ms\nb. Time quantum = 6 ms\nFor each case:\n\u2022 Draw the execution timeline.\n\u2022 Determine the average waiting time of the CPU-bound process.\n\u2022 Explain how the choice of quantum affects waiting time.\n\nQuestion 38:\nConsider a system with twelve I/O-bound tasks and one CPU-bound task. Each I/O-bound task runs for 1 ms before performing an 8 ms I/O operation.\nUsing Round-Robin scheduling:\na. Time quantum = 1 ms\nb. Time quantum = 4 ms\nFor each case:\n\u2022 Show the sequence of process execution.\n\u2022 Determine the average number of processes in the ready queue.\n\u2022 Explain how the quantum affects queue length.\n\nQuestion 39:\nConsider a system with eight I/O-bound tasks and two CPU-bound tasks. Each I/O-bound task requests an I/O operation after every 2 ms of CPU execution. Each I/O operation requires 12 ms. Using Round-Robin scheduling:\na. Time quantum = 2 ms\nb. Time quantum = 8 ms\nDetermine:\n\u2022 CPU utilization.\n\u2022 I/O device utilization.\n\u2022 Periods when the I/O device is idle.", "predicted": "Question 37:\nConsider a system with six I/O-bound processes and one CPU-bound process. Each I/O-bound\nprocess executes for 1 ms before blocking for a 12 ms I/O operation. The context-switch\noverhead is 0.1 ms.\nUsing Round-Robin scheduling:\n a. Time quantum = 1 ms\n b. Time quantum = 6 ms\nFor each case:\n \u2022 Draw the execution timeline.\n \u2022 Determine the average waiting time of the CPU-bound process.\n \u2022 Explain how the choice of quantum affects waiting time.\n\nQuestion 38:\nConsider a system with twelve I/O-bound tasks and one CPU-bound task. Each I/O-bound task\nruns for 1 ms before performing an 8 ms I/O operation.\nUsing Round-Robin scheduling:\n a. Time quantum = 1 ms\n b. Time quantum = 4 ms\nFor each case:\n \u2022 Show the sequence of process execution.\n \u2022 Determine the average number of processes in the ready queue.\n \u2022 Explain how the quantum affects queue length.\n\nQuestion 39:\nConsider a system with eight I/O-bound tasks and two CPU-bound tasks. Each I/O-bound task\nrequests an I/O operation after every 2 ms of CPU execution. Each I/O operation requires 12\nms. Using Round-Robin scheduling:\n a. Time quantum = 2 ms\n b. Time quantum = 8 ms\nDetermine:\n \u2022 CPU utilization.\n \u2022 I/O device utilization.\n \u2022 Periods when the I/O device is idle.", "correct": false, "input_tokens": 1162, "output_tokens": 1261, "elapsed_seconds": 14.33228083292488, "metadata": {"question": "Transcribe every piece of text in this image exactly as written, in reading order, preserving question and option numbering, and omit nothing. Output as plain text but preserve the visual structure. Do not add any extra markdown styling.", "match_method": "similarity", "score": 0.9495, "attempts": 1, "retries": 0, "total_seconds": 14.3425}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 20, "image": "056e17c9-9b46-496a-9cf8-c1b54bd73216_png.rf.ad6da03e5299b085ff446174b8c6cc4b.jpg", "expected": "```python\nclass Snapshot(BaseModel):\n pageIndex: int = 1\n stateId: str # computed by extension\n interactive: List[InteractiveElement] = Field(default_factory=list)\n extracted: Optional[ExtractedCard] = None\n ts_ms: int\n```", "predicted": "```python\nclass Snapshot(BaseModel):\n pageIndex: int = 1\n stateId: str # computed by extension\n interactive: List[InteractiveElement] = Field(default_factory=list)\n extracted: Optional[ExtractedCard] = None\n ts_ms: int\n```", "correct": true, "input_tokens": 1200, "output_tokens": 856, "elapsed_seconds": 19.080518874921836, "metadata": {"question": "Transcribe every piece of text in this screenshot exactly as written, in reading order, and omit nothing. Put source code inside fenced code blocks, preserving indentation, quotes, and casing exactly, and transcribe surrounding interface text as Markdown. Transcribe only the complete definition of the `Snapshot` class exactly as it appears in the code editor, including the class line and all its fields, and ignore all other code, editor chrome, file tabs, sidebars, and the terminal.", "match_method": "similarity", "score": 1.0, "attempts": 1, "retries": 0, "total_seconds": 19.1218}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 21, "image": "0f7a1b1b-b0f9-4dba-9659-0455701b7a3f_png.rf.a006d974af16d067a2ee124fe9e15f3f.jpg", "expected": "Department of Computer Science and Engineering\nFaculty of Technology & Engineering\nThe M. S. University of Baroda, Vadodara\nS.S BE IV CSE (______)\n\nINDUSTRY PROJECT EVALUATION FORM\n\nName of the Student : Raval Sumit Bharatbhai\nName of Project Guide : Sukhvala Prit Hasmukhbhai\nTitle / Designation : Jr. Salesforce Developer\nEmail of Project Guide : sukhvalaps@gmail.com\nAddress of the Organization : Dev Arcade, U3, Eru Char Rasta, Vejalpore, Jalalpore, Eroo, Navsari, Gujarat-396450\nContact No. : 98751 62607\n\n(Indicate your choice by tick a (\u2713) mark):\n\nHighest-----------------------------------------------------------------Lowest\n\n
Attributes of ObservancePO54321
1Punctuality/ RegularityPO8\u2713
2Sincerity in LearningPO12\u2713
3Enthusiasm to use new technological toolsPO5\u2713
4Team Spirit: Relationship with Team MembersPO9\u2713
5Technical/Programming SkillsPO1\u2713
6Societal Impact of ProjectPO7\u2713
7InnovationPO1,PO5\u2713
8Knowledge of Algorithm OptimizationPO1,PO4\u2713
9Problem Solving AbilityPO2\u2713
10Project Management/Leadership Skills: Taking responsibilitiesPO11\u2713
11Communication SkillsPO10\u2713
12Implementing InstructionsPO3\u2713
13Achievement of DeadlinesPO11\u2713
14Follows Sustainable Development practices in day to day work and project workPO6\u2713
15Overall Performance, Behavior and AttitudePO8\u2713
\n\nPage 1 of 2", "predicted": "Department of Computer Science and Engineering\nFaculty of Technology & Engineering\nThe M. S. University of Baroda, Vadodara\nS.S BE IV CSE ( )\n\nINDUSTRY PROJECT EVALUATION FORM\n\nName of the Student : Raval Sumit Bharatbhai\nName of Project Guide : Sakhvala Prit Hasmukhbhai\nTitle / Designation : Jr. Salesforce Developer\nEmail of Project Guide : sakhvalaps@gmail.com\nAddress of the Organization : Dev Arcade, U3, Eru Char Rasta,\nVejalpore, Jalapore, Eroo , Navsari,\nGujarat-396450\nContact No. : 98751 62607\n\n(Indicate your choice by tick a (\u221a) mark):\n\nHighest------------------------------------------------------------Lowest\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Attributes of ObservancePO54321
1Punctuality/ RegularityPO8\u2713
2Sincerity in LearningPO12\u2713
3Enthusiasm to use new technological toolsPO5\u2713
4Team Spirit: Relationship with Team MembersPO9\u2713
5Technical/Programming SkillsPO1\u2713
6Societal Impact of ProjectPO7\u2713
7InnovationPO1,PO5\u2713
8Knowledge of Algorithm OptimizationPO1,PO4\u2713
9Problem Solving AbilityPO2\u2713
10Project Management/Leadership Skills: Taking responsibilitiesPO11\u2713
11Communication SkillsPO10\u2713
12Implementing InstructionsPO3\u2713
13Achievement of DeadlinesPO11\u2713
14Follows Sustainable Development practices in day to day work and project workPO6\u2713
15Overall Performance, Behavior and AttitudePO8\u2713
\n\nPage 1 of 2", "correct": true, "input_tokens": 1166, "output_tokens": 2231, "elapsed_seconds": 23.659742292016745, "metadata": {"question": "Transcribe all text in this document exactly and completely, in reading order, preserving casing, punctuation, currency symbols, and codes. Use an HTML table only for genuinely tabular content, mirroring its rows, columns, and merged cells; write the HTML on single lines with no indentation or blank lines between tags, and collapse horizontal alignment to a single space.", "match_method": "similarity", "score": 0.9763, "attempts": 1, "retries": 0, "total_seconds": 23.6775}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 22, "image": "4f216ea0-af67-40e1-a226-2884e051db56_png.rf.b2fadeee17b3985c08325bec449bfd27.jpg", "expected": "NANAVATI\nMAX Super Speciality Hospital\n\n28/11/25\n\nTo\n\nWHOM SO EVER IT MAY CONCERNS\n\nMrs. Tanvi Mehta, 33/F, K/c/o CKD Stage 5 is planned for Live related kidney transplant on 2/12/2025. Post op patient is given immunosuppressants so require Isolation / Single room for infection prevention.\n\nSo kindly consider the same.\n\nFor Dr. Jalin Kotuan.\n\nDr. Balabhai Nanavati Hospital (Charitable) \nS.V. Road, Vile Parle (W), Mumbai - 400 056 \nTel.: +91-22-6134 7500 \nManaged by Max Hospitals and Allied services Limited\n\nwww.nanavatimaxhospital.org", "predicted": "NANAVATI\nMAX Super Speciality 28/11/25\nHospital\n\nTo\n WHOM SO EVER IT MAY CONCERNS\n\n Mrs. Tanvi Mehta, 33/F, k/c/o CKD stage 5\nis planned for Live related kidney transplant\non 2/12/2025. Post op patient is given\nimmunosuppressants so recquire Isolation/\nSingle room for infection prevention.\n So kindly consider the same.\n\n DR. BALABHAI NANAVATI HOSPITAL\n MUMBAI-56\n For Dr. Jatin Kothari.\n\nDr. Balabhai Nanavati Hospital (Charitable)\nS.V. Road, Vile Parle (W), Mumbai - 400 056\nTel.: +91-22-6134 7500\nManaged by Max Hospitals and Allied Services Limited\n\nwww.nanavatimaxhospital.org", "correct": false, "input_tokens": 1140, "output_tokens": 1621, "elapsed_seconds": 27.17475841694977, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.8677, "attempts": 1, "retries": 0, "total_seconds": 27.2318}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 23, "image": "058e2b7c-372e-4d28-8921-9686341124d1_png.rf.17dd3d796974c2aef56049a1e6edcee8.jpg", "expected": "Sir Ganga Ram Hospital\nSir Ganga Ram Hospital Marg, Rajinder Nagar,\nNew Delhi-110060, INDIA Tel : +91-11-4225 4000\n\nMedical Superintendent (Offg.)\nSir Ganga Ram Kolmet Hospital, 7-B, Pusa Road,\nNew Delhi-110005. Tel : +91-11-45099999, (D) 45099980\n\nDr. Raj Kamal Agarwal\nSr. Consultant\nDeptt. of Anaesthesiology\nPain & Peri Operative Medicine\nMobile : +91 98101 52201\nE-mail : kamalagarwal300@gmail.com\n\nTO WHOM IT MAY CONCERN\n\nAs per ICMR guideline, the contacts of COVID +ve cases should be put on HOME ISOLATION even with Mild Symptoms\n\nIt is advised that everybody takes these preventive medication apart from following SOCIAL DISTANCING, HAND HYGIENE & WEARING MASK\n\nRx\n\u2022 TAB HYDROXY CHLOROQUINE 400mg once a week\n\u2022 TAB VITAMIN C one gram once a day\n\u2022 TAB ZINC 50 mg once a day\n\nIn case of fever\n\n* \u2022 TAB CROCIN/CALPOL 650 mg SOS\n\nIn case of throat pain & cough\n\n* \u2022 TAB CETRIZINE 10mg once a day.\n\u2022 SYRUP ALEX 2/3 Tea spoon 3 times a day.\n\nDr. RAJ KAMAL AGARWAL\nMBBS, DA\nDMC No. 14517\nSENIOR CONSULTANT\nDEPTT. OF ANAESTHSIOLOGY\nPERIOPERATIVE MEDICINE & PAIN\nSIR GANGARAM HOSPITAL\nRAJINDER NAGAR, NEW DELHI-110060\nPh.9810152201\n\nResidence :\n181, Royalton Tower, Princeton Estate, DLF Phase-V, Gurugram, Haryana", "predicted": "Sir Ganga Ram Hospital Dr. Raj Kamal Agarwal\nSir Ganga Ram Hospital Marg, Rajinder Nagar, Sr. Consultant\nNew Delhi-110060, INDIA Tel : +91-11-4225 4000 Deptt. of Anaesthesiology\nMedical Superintendent (Offg.) Pain & Peri Operative Medicine\nSir Ganga Ram Kolmet Hospital, 7-B, Pusa Road, Mobile : +91 98101 52201\nNew Delhi-110005. Tel : +91-11-45099999, (D) 45099980 E-mail : kamalagarwal300@gmail.com\n\n TO WHOM IT MAY CONCERN\n As per ICMR guideline, the contacts of\nCOVID +ve cases should be put on HOME\nISOLATION even with Mild Symptoms\n It is advised that everybody takes these\npreventive medication apart from following\nSOCIAL DISTANCING, HAND HYGIENE & WEARING\nMASK\n Rx\n \u2022 TAB HYDROXYCHLOROQUINE 400mg once a week\n \u2022 TAB VITAMIN C one gram once a day\n \u2022 TAB ZINC 50 mg once a day\n In case of fever\n * \u2022 TAB CROCIN / CALPOL 650 mg SOS\n In case of throat pain & cough\n * \u2022 TAB CETRIZINE 10 mg once a day.\n \u2022 SYRUP ALEX 2/3 Tea spoon 3 times a day.\n\n DR. RAJ KAMAL AGARWAL\n MBBS, DA\n [illegible] DMC NO 4537\n SENIOR CONSULTANT\n DEPTT. OF ANAESTHSIOLOGY\n PERIOPERATIVE MEDICINE & PAIN\n SIR GANGARAM HOSPITAL\n Residence : RAJINDER NAGAR, NEW DELHI-110060\n 181, Royalton Tower, Princeton Estate, DLF Phase-V, Gurugram, Haryana-122002 PH: 9810152201", "correct": false, "input_tokens": 1152, "output_tokens": 2282, "elapsed_seconds": 26.379774458007887, "metadata": {"question": "Transcribe all handwritten and printed text exactly as written, reading top to bottom and left to right, and omit nothing; mark only genuinely unreadable words as [illegible]. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.7231, "attempts": 1, "retries": 0, "total_seconds": 26.4611}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 24, "image": "1b4e5426-d109-4398-8e45-ab1dc497980f_png.rf.bded2a0f08d8a00ca919034e8f04cf48.jpg", "expected": "Lesson \n1.1\n\nReading (Recognizing Uppercase and Lowercase Letters)\n\nActivity\n\nCircle the matching lowercase letter in each row. The first one has been completed.\n\n| | | | | |\n|---|---|---|---|---|\n| A | c | (a) | e | h |\n| B | v | n | (b) | l |\n| C | a | w | e | (c) |\n| D | (d) | l | t | i |\n| E | b | m | x | (e) |\n| F | e | o | (f) | p |\n| G | h | (g) | r | s |\n| H | v | a | (h) | r |\n| I | c | a | (i) | p |\n| J | t | y | o | (j) |\n| K | (k) | x | d | u |\n| L | o | (l) | a | t |\n| M | b | (m) | n | w |", "predicted": "Lesson\n1.1\n\n# Reading (Recognizing Uppercase and Lowercase Letters)\n\n### Activity\n\n**Circle the matching lowercase letter in each row. The first one has been completed.**\n\n| A | c | a | e | h |\n| :---: | :---: | :---: | :---: | :---: |\n| B | v | n | b | l |\n| C | a | w | e | c |\n| D | d | l | t | i |\n| E | b | m | x | e |\n| F | e | o | f | p |\n| G | h | g | r | s |\n| H | v | a | h | r |\n| I | c | a | i | p |\n| J | t | y | o | j |\n| K | k | x | d | u |\n| L | o | l | a | t |\n| M | b | m | n | w |\n\nCabsera", "correct": false, "input_tokens": 1190, "output_tokens": 1362, "elapsed_seconds": 16.4684752500616, "metadata": {"question": "Transcribe every piece of text in this image exactly as written, in reading order, preserving question and option numbering, and omit nothing. Write mathematical expressions in LaTeX and format the result as Markdown that mirrors the layout. Ignore the vertical text printed sideways along the page margin.", "match_method": "similarity", "score": 0.8511, "attempts": 1, "retries": 0, "total_seconds": 16.505}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 25, "image": "9e81338a-33bb-479d-939a-0df376f0a972_png.rf.917d36705351e18951147dc224677339.jpg", "expected": "yes exactly! a bit like i'm being manipulated in some creepy way. \"please like me, look how much i know about you, we are good friends\".", "predicted": "Andrej Karpathy @karpathy \u00b7 1\u5c0f\u65f6\nyes exactly! a bit like i'm being manipulated in some creepy way. \"please like\nme, look how much i know about you, we are good friends\".\n4 2 105 4,300", "correct": false, "input_tokens": 1184, "output_tokens": 1120, "elapsed_seconds": 20.059258457971737, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom, keeping each author's handle with their message, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the last (bottom-most) tweet authored by Andrej Karpathy (@karpathy).", "match_method": "similarity", "score": 0.7418, "attempts": 1, "retries": 0, "total_seconds": 20.0914}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 26, "image": "e6e06b1b-da53-41ac-bfdf-9316443ff037_png.rf.39688157a0a030c060170f7400170d30.jpg", "expected": "31/3/24 AI OCR Tools\n\nQuite unusually for me, this essay started its life as a scribble in a notebook rather than something I typed into a markdown editor. A few weeks ago Tiago Forte made a short video suggesting that people can use GPT4-V to capture their hand-written notes digitally. I've been looking for a \"smart\" OCR tool that can process my terribly scratchy, spidery hand writing for many years and none have quite cut the mustard. But, I thought, why not give it a go. To my absolute surprise, GPT did a phenomenal job of parsing my scrawlings and spitting out text. I was seriously impressed. Handwriting OCR has now gone from a fun toy and conversation piece to something I can actually, seriously use in my workflow. So then, is GPT via ChatGPT the best option I've got for this task or are there any FOSS tools and models that I could use instead?\n\nThe Closest option: CRAFT-TROCR\n\nI played with this a couple of years ago and it was reasonably good at certain content but only if I write in my very best hand writing all the time. And I don't do that because when I am taking notes in a meeting or something, I am thinking about the meeting, not my hand writing.\n\nHow does CRAFT-TROCR work? Are there any major differences? I'm guessing a big transformer model is able to maximise probability globally across the image + the generated text.\n\n68", "predicted": "31/3/24 AI OCR Tools\n\nQuite unusually for me, this essay started its life\nas a scribble in a notebook rather than something\nI typed into a markdown editor. A few weeks ago\nTiago Forte made a short video suggesting that\npeople can use GPT4-V to capture their hand-written\nnotes digitaly. I've been looking for a \"smart\"\nOCR tool that can process my terribly scratchy,\nspidery hand writing for many years and none have\nquite cut the mustard. But, I thought, why not\ngive it a go. To my absolute surprise, GPT did\na phenomenal job of parsing my scrawlings and\nspitting out text. I was seriously impressed.\nHandwriting OCR has now gone from a fun toy\nand conversation piece to something I can actually, seriously\nuse in my workflow. So then, is GPT via ChatGPT\nthe best option I've got for this task or are\nthere any FOSS tools and models that I could\nuse instead?\n\nThe classic option: CRAFT-TROCR\n\nI played with this a couple of years ago and\nit was reasonably good at certain content but only\nif I write in my very best hand writing all the time.\nAnd I don't do that because when I am taking\nnotes in a meeting or something, I am thinking about\nthe meeting, not my hand writing.\n\nHow does CRAFT-TROCR work? Are there any major\ndifferences? I'm guessing a big transformer model\nis able to maximise probability globally across the\nimage + the generated text.\n\n68", "correct": true, "input_tokens": 1210, "output_tokens": 2554, "elapsed_seconds": 35.621056083007716, "metadata": {"question": "Transcribe all handwritten and printed text exactly as written, reading top to bottom and left to right, and omit nothing; mark only genuinely unreadable words as [illegible]. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the text on the left page of the notebook, ignoring the partially visible right page.", "match_method": "similarity", "score": 0.9772, "attempts": 1, "retries": 0, "total_seconds": 35.6691}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 27, "image": "d1d7aaf7-169c-4847-866d-61bc0a6784b4_png.rf.47c7117d83bf6448f821dbc28e0e6255.jpg", "expected": "R\u00c9PUBLIQUE FRAN\u00c7AISE\nCARTE NATIONALE D'IDENTIT\u00c9 / IDENTITY CARD\n\nNOM / Surname \nMARTIN\n\nPr\u00e9noms / Given names \nMa\u00eblys Ga\u00eblle, Marie\n\nSEXE / Sex\nF\n\nNATIONALIT\u00c9 / Nationality\nFRA\n\nDATE DE NAISS. / Date of birth \n13 07 1990\n\nLIEU DE NAISSANCE / Place of birth \nPARIS\n\nNOM D'USAGE / Alternate name \nNOM D'USAGE\n\nN\u00b0 DU DOCUMENT / Document No. \nX4RTBPFW4\n\nDATE D'EXPIR. / Expiry date \n11 02 2030\n\nSignature\n\n384213", "predicted": "R\u00c9PUBLIQUE FRAN\u00c7AISE FR\nCARTE NATIONALE D'IDENTIT\u00c9 / IDENTITY CARD\nNOM / Surname\nMARTIN\nPr\u00e9noms / Given names\nMa\u00eblys-Ga\u00eblle, Marie\nSEXE / Sex NATIONALIT\u00c9 / Nationality DATE DE NAISS. / Date of birth\nF FRA 13 07 1990\nLIEU DE NAISSANCE / Place of birth\nPARIS\nNOM D'USAGE / Alternate name\nNOM D'USAGE\nN\u00b0 DU DOCUMENT / Document No. DATE D'EXPIR. / Expiry date\nX4RTBPFW4 11 02 2030\n384213", "correct": false, "input_tokens": 1179, "output_tokens": 1780, "elapsed_seconds": 21.49229704204481, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the main identity document, reading top to bottom and left to right, and ignore the vertical text along the left edge, the signature graphic, and the faint background watermark.", "match_method": "similarity", "score": 0.8504, "attempts": 1, "retries": 0, "total_seconds": 21.5558}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 28, "image": "bcd74d99-f2d8-4005-aa54-2cc083e5a293_png.rf.1d000af6e7da39b4a95398db67f4bcbb.jpg", "expected": "4/16/26, 3:09 PM\n\nDocs\n\nGetting Started with Docker setup\n\nTo begin developing and deploying applications within this environment, you must have Docker Engine and the Docker Compose plugin installed. Follow the steps below to set up the environment on a Debian/Ubuntu-based system.\n\n1. Update the Package Index\n\nsudo apt update\n\nsudo apt install -y ca-certificates curl gnupg lsb-release\n\ncurl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --dearmor -o /etc/apt/keyrings/docker.gpg\n\nsudo chmod a+r /etc/apt/keyrings/docker.gpg\n\necho \\\n \"deb [arch=$(dpkg --print-architecture) signed-by=/etc/apt/keyrings/docker.gpg] https://download.docker.com/linux/ubuntu \\\n $(. /etc/os-release && echo \"$VERSION_CODENAME\") stable\" | \\\n sudo tee /etc/apt/sources.list.d/docker.list > /dev/null\n\nsudo apt update\n\nsudo apt install -y docker-ce docker-ce-cli containerd.io docker-buildx-plugin docker-compose-plugin", "predicted": "4/16/26, 3:09 PM Docs\n\nGetting Started with Docker setup\n\nTo begin developing and deploying applications within this environment, you must\nhave Docker Engine and the Docker Compose plugin installed. Follow the steps\nbelow to set up the environment on a Debian/Ubuntu-based system.\n\n1. Update the Package Index\n\nsudo apt update\n\nsudo apt install -y ca-certificates curl gnupg lsb-release\n\ncurl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --\ndearmor -o /etc/apt/keyrings/docker.gpg\n\nsudo chmod a+r /etc/apt/keyrings/docker.gpg\n\necho \\\n \"deb [arch=$(dpkg --print-architecture) signed-\nby=/etc/apt/keyrings/docker.gpg]\nhttps://download.docker.com/linux/ubuntu \\\n $(. /etc/os-release && echo \"$VERSION_CODENAME\") stable\" | \\\n sudo tee /etc/apt/sources.list.d/docker.list > /dev/null\n\nsudo apt update\n\nsudo apt install -y docker-ce docker-ce-cli containerd.io docker-\nbuildx-plugin docker-compose-plugin", "correct": true, "input_tokens": 1161, "output_tokens": 1395, "elapsed_seconds": 12.835587374982424, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9913, "attempts": 1, "retries": 0, "total_seconds": 12.8453}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 29, "image": "8aa12106-fbe5-4983-96bf-a1243a7c4020_png.rf.83832cdeaaf470d6954bbada16920ccd.jpg", "expected": "\"Jade City\"\nBaan 16 - 8256 AX\nBiddinghuizen\n\nT.Nr: L7\n\n
1 Gebraden magere spek met pikante saus a 19.50 (1 Nasi a EUR 1.00)EUR20.50
1 Chinese bami a la \"Jade City\" a 19.00EUR19.00
1 Babi pangang met pikante saus a 19.00 (1 Nasi a EUR 1.00)EUR20.00
1 Koe Loe Kai a 18.00 (1 Nasi a EUR 1.00)EUR19.00
1 Ossenhaas met oestersaus a 21.00EUR21.00
2 Dame blanche(ijs.choc.slagroom)EUR9.00
1 Cola a 3.25EUR3.25
2 Cola-max a 3.25EUR6.50
1 Sinas a 3.25EUR3.25
1 Seven-up a 3.25EUR3.25
2 ice thee met prik a 3.75EUR7.50
3 ijs a 4.00EUR12.00
\n\n============ +\nTotaal: EUR 144.25\n============\n\nBTW 9.0% EUR 11.91\n\nBedankt voor Uw bezoek\nRabobank NL29 0348178123\nKvk 39037611", "predicted": "\"Jade City\"\nBaan 16 - 8256 AX\nBiddinghuizen\n\nT.Nr: L7\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
1 Gebraden magere spek metEUR20.50
pikante saus a 19.50
(1 Nasi a EUR 1.00)
1 Chinese bami a la \"JadeEUR19.00
City\" a 19.00
1 Babi pangang met pikanteEUR20.00
saus a 19.00
(1 Nasi a EUR 1.00)
1 Koe Loe Kai a 18.00EUR19.00
(1 Nasi a EUR 1.00)
1 Ossenhaas met oestersausEUR21.00
a 21.00
2 DameEUR9.00
blanche(ijs.choc.slagroom)
1 Cola a 3.25EUR3.25
2 Cola-max a 3.25EUR6.50
1 Sinas a 3.25EUR3.25
1 Seven-up a 3.25EUR3.25
2 ice thee met prik a 3.75EUR7.50
3 ijs a 4.00EUR12.00
========== +
Totaal:EUR144.25
==========
\n\nBTW 9.0% EUR 11.91\n\nBedankt voor Uw bezoek\nRabobank NL29 0348178123\nKvk 39037611", "correct": false, "input_tokens": 1204, "output_tokens": 5860, "elapsed_seconds": 58.26389445795212, "metadata": {"question": "Transcribe all text in this document exactly and completely, in reading order, preserving casing, punctuation, currency symbols, and codes. Use an HTML table only for genuinely tabular content, mirroring its rows, columns, and merged cells; write the HTML on single lines with no indentation or blank lines between tags, and collapse horizontal alignment to a single space. Transcribe only the main receipt in the foreground, and ignore the upside-down, semi-transparent receipt behind it.", "match_method": "similarity", "score": 0.6585, "attempts": 1, "retries": 0, "total_seconds": 58.3341}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 30, "image": "11b83a24-c9b8-4d9a-b4db-b73d396719cd_png.rf.358e9a65b048e920c8eacbd7b7fb1df6.jpg", "expected": "Something tells me that if they released their chat/tool/hyper-param templates which they use on their cloud service, there'd be a lot more love and acceptance. Why anyone is still using a llama.cpp wrapper anymore is the better question and beyond me.", "predicted": "Eric @Ex0byt \u00b7 1\u5c0f\u65f6\nSomething tells me that if they released their chat/tool/hyper-param\ntemplates which they use on their cloud service, there\u2019d be a lot more love\nand acceptance. Why anyone is still using a llama.cpp wrapper anymore is\nthe better question and beyond me.\n40", "correct": false, "input_tokens": 1199, "output_tokens": 2466, "elapsed_seconds": 30.3191117499955, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom, keeping each author's handle with their message, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the reply authored by Eric (@Ex0byt).", "match_method": "similarity", "score": 0.9051, "attempts": 1, "retries": 0, "total_seconds": 30.3484}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 31, "image": "fc6e5e8d-4b33-4a20-a63a-96c0205ae8f6_png.rf.6cdeb04c221a85b1895ded05acdbfa1b.jpg", "expected": "When recorded return to:\nSTRIBLING LAW FIRM PO\n101 E MCINTOSH ST\nMILLEDGEVILLE GA 3106\n\nDoc ID: 001029530008 Type: GLR\nRecorded: 10/21/2013 at 04:07:30 PM\nPage 1 of 8\nBaldwin, Ga. Clerk Superior Court\nRosemary Phillips Clerk of Courts\nBK 1150 PG 483-490\n\nFILED & RECORDED\nCLERK, SUPERIOR COURT\nBALDWIN COUNTY, GA\n2013 OCT 21 PM 4: 07\nBY\nROSEMARY PHILLIPS, CLERK\n\nDeed To Secure Debt\n(With Future Advance Clause)\n\n1. Date and Parties. The date of this Deed to Secure Debt (Security Instrument) is OCTOBER 21, 2013\n. The parties and their addresses are:\n\nGrantor: THE BRACK FAMILY LIMITED\nPARTNERSHIP\n891 S JEFFERSON STREET SE\nMILLEDGEVILLE GA 31061\n\n\u2610 If checked, refer to the attached Addendum incorporated herein, for additional Grantors, their signatures\nand acknowledgments.\n\nGrantee: CENTURY BANK AND TRUST\n(\"Lender\") 141 S WAYNE ST\nMILLEDGEVILLE, GA 31061-5708\n\n2. Conveyance. For good and valuable consideration, the receipt and sufficiency of which is acknowledged,\nand to secure the Secured Debt (defined below) and Grantor\u2019s performance under this Security Instrument,\nGrantor irrevocably grants, bargains, transfers, conveys and sells to Lender, with power of sale, the\nfollowing described property:\n*SEE EXHIBIT 'A' ATTACHED HERETO AND INCORPORATED HEREIN BY REFERENCE.\n\nThe property is located in BALDWIN at\n(County)\n101 KINGS RD , MILLEDGEVILLE , Georgia 31061-0000\n(Address) (City) (ZIP Code)\nTogether with all rights, easements, appurtenances, royalties, mineral rights, oil and gas rights, all water and\nriparian rights, ditches, and water stock and all existing and future improvements, structures, fixtures, and\nreplacements that may now, or at any time in the future, be part of the real estate described above (all\nreferred to as \"Property\").\n\n3. Maximum Obligation Limit. The total principal amount secured by this Security Instrument at any one time\nshall not exceed $ UNLIMITED . This limitation of amount does not include\ninterest and other fees and charges validly made pursuant to this Security Instrument. Also, this limitation\ndoes not apply to advances made under the terms of this Security Instrument to protect Lender\u2019s security and\nto perform any of the covenants contained in this Security Instrument.\n\nReal Estate Security Instrument-Consumer-GA\nVMP\u00ae Bankers Systems\u2122\nWolters Kluwer Financial Services \u00a9 1994, 2011\n\nRE-DSD-GA 1/24/2011\nVMPC231(GA) (1101).00\nPage 1 of 6\n\nBB R# 189300", "predicted": "When recorded return to:\nSTRIBLING LAW FIRM PC 2\n101 E MCINTOSH ST\nMILLEDGEVILLE GA 31061\n\n1\nFILED & RECORDED\nCLERK, SUPERIOR COURT\nBALDWIN COUNTY, GA\n\nDoc ID: 001029530008 Type: GLR\nRecorded: 10/21/2013 at 04:07:30 PM 2013 OCT 21 PM 4: 07\nPage 1 of 8\nBaldwin, Ga. Clerk Superior Court\nRosemary Phillips Clerk of Courts BY Barbara Boyer\nBK 1150 PG 483-490 ROSEMARY PHILLIPS, CLERK\ndpty Clerk\n\nDeed To Secure Debt\n(With Future Advance Clause)\n\n1. Date and Parties. The date of this Deed to Secure Debt (Security Instrument) is OCTOBER 21, 2013\n . The parties and their addresses are:\n\n Grantor: THE BRACK FAMILY LIMITED\n PARTNERSHIP\n 891 S JEFFERSON STREET SE\n MILLEDGEVILLE GA 31061\n\n If checked, refer to the attached Addendum incorporated herein, for additional Grantors, their signatures\n and acknowledgments.\n\n Grantee: CENTURY BANK AND TRUST\n (\"Lender\") 141 S WAYNE ST\n MILLEDGEVILLE, GA 31061-5708\n\n2. Conveyance. For good and valuable consideration, the receipt and sufficiency of which is acknowledged,\n and to secure the Secured Debt (defined below) and Grantor's performance under this Security Instrument,\n Grantor irrevocably grants, bargains, transfers, conveys and sells to Lender, with power of sale, the\n following described property:\n *SEE EXHIBIT 'A' ATTACHED HERETO AND INCORPORATED HEREIN BY REFERENCE.\n\n The property is located in BALDWIN at\n (County)\n 101 KINGS RD , MILLEDGEVILLE , Georgia 31061-0000\n (Address) (City) (ZIP Code)\n Together with all rights, easements, appurtenances, royalties, mineral rights, oil and gas rights, all water and\n riparian rights, ditches, and water stock and all existing and future improvements, structures, fixtures, and\n replacements that may now, or at any time in the future, be part of the real estate described above (all\n referred to as \"Property\").\n\n3. Maximum Obligation Limit. The total principal amount secured by this Security Instrument at any one time\n shall not exceed $ UNLIMITED . This limitation of amount does not include\n interest and other fees and charges validly made pursuant to this Security Instrument. Also, this limitation\n does not apply to advances made under the terms of this Security Instrument to protect Lender's security and\n to perform any of the covenants contained in this Security Instrument.\n\nReal Estate Security Instrument-Consumer-GA RE-DSD-GA 1/24/2011\nVMP\u00ae Bankers Systems\u2122 VMPC231(GA) (1101).00\nWolters Kluwer Financial Services \u00a9 1994, 2011 Page 1 of 6\n\nBB R# 189300", "correct": false, "input_tokens": 1168, "output_tokens": 2255, "elapsed_seconds": 20.755247958935797, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.8777, "attempts": 1, "retries": 0, "total_seconds": 20.7857}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 32, "image": "c05c3288-ac14-47d6-8756-9ad484ae9696_png.rf.0ff67a7a39c5d5c7c9739988d851c032.jpg", "expected": "COST OF LIVING\n\nThe following figures are a general guide to essential monthly expenses for an expatriate executive living in Azerbaijan.\n\nMarried\nSingle couple with\nperson two children\n(US$) (US$)\n\nRent 800 3,000\nFood 300 1,200\nTransport 150 300\nUtilities 100 150\nEducation n. a. 1,000\nMiscellaneous 500 1,000\n\nTotal 1,850 6,650", "predicted": "COST OF LIVING\n\nThe following figures are a general guide to\nessential monthly expenses for an expatriate\nexecutive living in Azerbaijan.\n\nMarried\nSingle couple with\nperson two children\n(US$) (US$)\nRent 800 3,000\nFood 300 1,200\nTransport 150 300\nUtilities 100 150\nEducation n. a. 1,000\nMiscellaneous 500 1,000\nTotal 1,850 6,650", "correct": true, "input_tokens": 1164, "output_tokens": 1520, "elapsed_seconds": 30.15996133396402, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9878, "attempts": 1, "retries": 0, "total_seconds": 30.198}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 33, "image": "5327a38f-11a2-45f2-9a38-e1375dfbeb43_png.rf.b6a2243d098302d780056ad980a16a9c.jpg", "expected": "Probabilistic two-stage detection\n\ncosts of the second stage. Our second stage makes full use of years of progress in two-stage detection (Cai & Vasconcelos, 2018; Chen et al., 2019a) and yields a significant increase in detection accuracy over one-stage baselines. It also easily scales to large-vocabulary detection.\n\nExperiments on COCO (Lin et al., 2014), LVIS (Gupta et al., 2019), and Objects365 (Shao et al., 2019) demonstrate that our probabilistic two-stage framework boosts the accuracy of a strong CascadeRCNN model by 1-3 mAP, while also improving its speed. Using a standard ResNeXt-101-DCN backbone with a CenterNet (Zhou et al., 2019a) first stage, our detector achieves 50.2 mAP on COCO test-dev. With a strong Res2Net-101-DCN-BiFPN (Gao et al., 2019a; Tan et al., 2020b) backbone and self-training (Zoph et al., 2020), it achieves 56.4 mAP with single-scale testing, outperforming all published results. Using a small DLA-BiFPN backbone and lower input resolution, we achieve 49.2 mAP on COCO at 33 fps on a Titan Xp, outperforming the popular YOLOv4 model (43.5 mAP at 33 fps) on the same hardware. Code and models are release at https://github.com/xingyizhou/CenterNet2.\n\n2. Related Work\n\nOne-stage detectors jointly predict an output class and location of objects densely throughout the image. RetinaNet (Lin et al., 2017b) classifies a set of predefined sliding anchor boxes and handles the foreground-background imbalance by reweighting losses for each output. FCOS (Tian et al., 2019) and CenterNet (Zhou et al., 2019a) eliminate the need of multiple anchors per pixel and classify foreground/background by location. ATSS (Zhang et al., 2020b) and PAA (Kim & Lee, 2020) further improve FCOS by changing the definition of foreground and background. GFL (Li et al., 2020b) and Autoassign (Zhu et al., 2020a) change the hard foreground-background assignment to a weighted soft assignment. AlignDet (Chen et al., 2019c) uses a deformable convolution layer before the output to gather richer features for classification and regression. RepPoint (Yang et al., 2019) and DenseRepPoint (Yang et al., 2020) encode bounding boxes as the outline of a set of points and use the features of the point set for classification. BorderDet (Qiu et al., 2020) pools features along the bounding box for better localization. Most one-stage detectors have a sound probabilistic interpretation.\n\nWhile one-stage detectors have achieved competitive performance (Zhang et al., 2020b; Kim & Lee, 2020; Zhang et al., 2019; Li et al., 2020b; Zhu et al., 2020a), they usually rely on heavier separate classification and regression branches than two-stage models. In fact, they are no longer faster than their two-stage counterparts if the vocabulary (i.e., the set of object classes) is large (as in the LVIS or Objects365 datasets). Also, one-stage detectors only use the local features of the positive cell for regression and classification, which is sometimes misaligned with the object (Chen et al., 2019c; Song et al., 2020).\n\nOur probabilistic two-stage framework retains the probabilistic interpretation of one-stage detectors, but factorizes the probability distribution over multiple stages, improving both accuracy and speed.\n\nTwo-stage detectors first use a region proposal network (RPN) to generate coarse object proposals, and then use a dedicated per-region head to classify and refine them. Faster-RCNN (Ren et al., 2015; He et al., 2017) uses two fully-connected layers as the RoI heads. CascadeRCNN (Cai & Vasconcelos, 2018) uses three cascaded stages of Faster-RCNN, each with a different positive threshold so that the later stages focus more on localization accuracy. HTC (Chen et al., 2019a) utilizes additional instance and semantic segmentation annotations to enhance the inter-stage feature flow of CascadeRCNN. TSD (Song et al., 2020) decouples the classification and localization branches for each RoI.\n\nTwo-stage detectors are still more accurate in many settings (Gupta et al., 2019; Sun et al., 2020; Kuznetsova et al., 2018). Currently, all two-stage detectors use a relatively weak RPN that maximizes the recall of the top 1K proposals, and does not utilize the proposal score at test time. The large number of proposals slows the system down, and the recall-based proposal network does not directly offer the same clear probabilistic interpretation as one-stage detectors. Our framework addresses this, and integrates a strong class-agnostic single-stage object detector with later classification stages. Our first stage uses fewer, but higher quality, regions, yielding both faster inference and higher accuracy.\n\nOther detectors. A family of object detectors identify objects via points in the image. CornerNet (Law & Deng, 2018) detects the top-left and bottom-right corners and groups them using an embedding feature. ExtremeNet (Zhou et al., 2019b) detects four extreme points and groups them using an additional center point. Duan et al. (2019) detect the center point and use it to improve corner grouping. Corner Proposal Net (Duan et al., 2020) uses pairwise corner groupings as region proposals. CenterNet (Zhou et al., 2019a) detects the center point and regresses the bounding box parameters from it.\n\nDETR (Carion et al., 2020) and Deformable DETR (Zhu et al., 2020c) remove the dense output in a detector, and instead use a Transformer (Vaswani et al., 2017) that directly predicts a set of bounding boxes.\n\nThe major difference between point-based detectors, DETR, and conventional detectors lies in the network architecture. Point-based detectors use a fully-convolutional network (Newell et al., 2016; Yu et al., 2018), usually with symmetric downsampling and upsampling layers, and pro-", "predicted": "Probabilistic two-stage detection\n\ncosts of the second stage. Our second stage makes full use\nof years of progress in two-stage detection (Cai & Vascon-\ncelos, 2018; Chen et al., 2019a) and yields a significant\nincrease in detection accuracy over one-stage baselines. It\nalso easily scales to large-vocabulary detection.\nExperiments on COCO (Lin et al., 2014), LVIS (Gupta\net al., 2019), and Objects365 (Shao et al., 2019) demon-\nstrate that our probabilistic two-stage framework boosts the\naccuracy of a strong CascadeRCNN model by 1-3 mAP,\nwhile also improving its speed. Using a standard ResNeXt-\n101-DCN backbone with a CenterNet (Zhou et al., 2019a)\nfirst stage, our detector achieves 50.2 mAP on COCO test-\ndev. With a strong Res2Net-101-DCN-BiFPN (Gao et al.,\n2019a; Tan et al., 2020b) backbone and self-training (Zoph\net al., 2020), it achieves 56.4 mAP with single-scale testing,\noutperforming all published results. Using a small DLA-\nBiFPN backbone and lower input resolution, we achieve\n49.2 mAP on COCO at 33 fps on a Titan Xp, outperforming\nthe popular YOLOv4 model (43.5 mAP at 33 fps) on the\nsame hardware. Code and models are release at https:\n//github.com/xingyizhou/CenterNet2.\n\n2. Related Work\nOne-stage detectors jointly predict an output class and\nlocation of objects densely throughout the image. Reti-\nnaNet (Lin et al., 2017b) classifies a set of predefined sliding\nanchor boxes and handles the foreground-background im-\nbalance by reweighting losses for each output. FCOS (Tian\net al., 2019) and CenterNet (Zhou et al., 2019a) elimi-\nnate the need of multiple anchors per pixel and classify\nforeground/background by location. ATSS (Zhang et al.,\n2020b) and PAA (Kim & Lee, 2020) further improve FCOS\nby changing the definition of foreground and background.\nGFL (Li et al., 2020b) and Autoassign (Zhu et al., 2020a)\nchange the hard foreground-background assignment to a\nweighted soft assignment. AlignDet (Chen et al., 2019c)\nuses a deformable convolution layer before the output to\ngather richer features for classification and regression. Rep-\nPoint (Yang et al., 2019) and DenseRepPoint (Yang et al.,\n2020) encode bounding boxes as the outline of a set of\npoints and use the features of the point set for classification.\nBorderDet (Qiu et al., 2020) pools features along the bound-\ning box for better localization. Most one-stage detectors\nhave a sound probabilistic interpretation.\nWhile one-stage detectors have achieved competitive perfor-\nmance (Zhang et al., 2020b; Kim & Lee, 2020; Zhang et al.,\n2019; Li et al., 2020b; Zhu et al., 2020a), they usually rely\non heavier separate classification and regression branches\nthan two-stage models. In fact, they are no longer faster\nthan their two-stage counterparts if the vocabulary (i.e., the\nset of object classes) is large (as in the LVIS or Objects365\ndatasets). Also, one-stage detectors only use the local fea-\nture of the positive cell for regression and classification,\nwhich is sometimes misaligned with the object (Chen et al.,\n2019c; Song et al., 2020).\nOur probabilistic two-stage framework retains the proba-\nbilistic interpretation of one-stage detectors, but factorizes\nthe probability distribution over multiple stages, improving\nboth accuracy and speed.\nTwo-stage detectors first use a region proposal network\n(RPN) to generate coarse object proposals, and then use a\ndedicated per-region head to classify and refine them. Faster-\nRCNN (Ren et al., 2015; He et al., 2017) uses two fully-\nconnected layers as the RoI heads. CascadeRCNN (Cai &\nVasconcelos, 2018) uses three cascaded stages of Faster-\nRCNN, each with a different positive threshold so that the\nlater stages focus more on localization accuracy. HTC (Chen\net al., 2019a) utilizes additional instance and semantic seg-\nmentation annotations to enhance the inter-stage feature\nflow of CascadeRCNN. TSD (Song et al., 2020) decouples\nthe classification and localization branches for each RoI.\nTwo-stage detectors are still more accurate in many set-\ntings (Gupta et al., 2019; Sun et al., 2020; Kuznetsova et al.,\n2018). Currently, all two-stage detectors use a relatively\nweak RPN that maximizes the recall of the top 1K propos-\nals, and does not utilize the proposal score at test time. The\nlarge number of proposals slows the system down, and the\nrecall-based proposal network does not directly offer the\nsame clear probabilistic interpretation as one-stage detec-\ntors. Our framework addresses this, and integrates a strong\nclass-agnostic single-stage object detector with later classi-\nfication stages. Our first stage uses fewer, but higher quality,\nregions, yielding both faster inference and higher accuracy.\nOther detectors. A family of object detectors iden-\ntify objects via points in the image. CornerNet (Law\n& Deng, 2018) detects the top-left and bottom-right cor-\nners and groups them using an embedding feature. Ex-\ntremeNet (Zhou et al., 2019b) detects four extreme points\nand groups them using an additional center point. Duan\net al. (2019) detect the center point and use it to improve\ncorner grouping. Corner Proposal Net (Duan et al., 2020)\nuses pairwise corner groupings as region proposals. Cen-\nterNet (Zhou et al., 2019a) detects the center point and\nregresses the bounding box parameters from it.\nDETR (Carion et al., 2020) and Deformable DETR (Zhu\net al., 2020c) remove the dense output in a detector, and\ninstead use a Transformer (Vaswani et al., 2017) that directly\npredicts a set of bounding boxes.\nThe major difference between point-based detectors, DETR,\nand conventional detectors lies in the network architec-\nture. Point-based detectors use a fully-convolutional net-\nwork (Newell et al., 2016; Yu et al., 2018), usually with\nsymmetric downsampling and upsampling layers, and pro-", "correct": true, "input_tokens": 1156, "output_tokens": 5390, "elapsed_seconds": 44.548677999991924, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9789, "attempts": 1, "retries": 0, "total_seconds": 44.5869}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 34, "image": "f3701711-56c0-4e6d-94ad-edbe5931b13c_png.rf.0dfe995026d12d57bfa8621b501a51c9.jpg", "expected": "Table.10 Nutrient availability after harvesting of pigeon pea (pooled data of 3 years).\n\n
Tr.TreatmentsAvailable NAvailable PAvailable KDTPA-FeDTPA-ZnDTPA-CuDTPA-Mn
Kg ha-1mgkg-1
T1Absolute control (No Fertilizers)144.536.11535.003.350.411.114.60
T2RDF only (25:50:00 NPK/ha)147.517.21539.673.390.431.134.69
T3RDF+ 25 Kg K2O/ha148.427.57558.933.520.441.154.79
T4RDF+ 50 Kg K2O/ha154.517.71560.003.520.441.224.81
T5RDF+ 25 Kg K2O/ha+ Grade I micronutrient (soil application)154.697.59562.003.580.561.325.79
T6RDF+ 50Kg K2O/ha + Grade I micronutrient (soil application)157.918.16596.003.830.581.346.11
T7RDF+ 25 Kg K2O/ha + Grade II micronutrient (0.5 % foliar spray)155.407.90592.003.590.451.265.53
T8RDF+ 50 Kg K2O/ha + Grade II micronutrient (0.5 % foliar spray)157.058.12595.003.710.451.315.70
T9RDF+ 25 Kg K2O/ha + 2 % KNO3(foliar spray)148.677.60558.003.530.421.155.51
T10RDF+ 50 Kg K2O/ha + 2 % KNO3(foliar spray)152.517.77592.673.450.431.235.54
SEm (\u00b1)1.900.4111.300.020.020.010.32
CD at 5 %5.631.2733.540.060.030.97
Grand mean152.127.57568.933.540.081.225.31
\n\n13", "predicted": "Table.10 Nutrient availability after harvesting of pigeon pea (pooled data of 3 years).\n\n
Tr.TreatmentsAvailable NAvailable PAvailable KDTPA- FeDTPA- ZnDTPA- CuDTPA- Mn
Kg ha\u207b\u00b9mgkg\u207b\u00b9
T\u2081Absolute control (No Fertilizers)144.536.11535.003.350.411.114.60
T\u2082RDF only (25:50:00 NPK/ha)147.517.21539.673.390.431.134.69
T\u2083RDF+ 25 Kg K\u2082O/ha148.427.57558.933.520.441.154.79
T\u2084RDF+ 50 Kg K\u2082O/ha154.517.71560.003.520.441.224.81
T\u2085RDF+ 25 Kg K\u2082O/ha+ Grade I micronutrient (soil application)154.697.59562.003.580.561.325.79
T\u2086RDF+ 50Kg K\u2082O/ha + Grade I micronutrient (soil application)157.918.16596.003.830.581.346.11
T\u2087RDF+ 25 Kg K\u2082O/ha + Grade II micronutrient (0.5 % foliar spray)155.407.90592.003.590.451.265.53
T\u2088RDF+ 50 Kg K\u2082O/ha + Grade II micronutrient (0.5 % foliar spray)157.058.12595.003.710.451.315.70
T\u2089RDF+ 25 Kg K\u2082O/ha + 2 % KNO\u2083(foliar spray)148.677.60558.003.530.421.155.51
T\u2081\u2080RDF+ 50 Kg K\u2082O/ha + 2 % KNO\u2083(foliar spray)152.517.77592.673.450.431.235.54
SEm (\u00b1)1.900.4111.300.020.020.010.32
CD at 5 %5.631.2733.540.060.030.97
Grand mean152.127.57568.933.540.081.225.31
\n\n13", "correct": false, "input_tokens": 1194, "output_tokens": 4177, "elapsed_seconds": 33.51828995801043, "metadata": {"question": "Transcribe all text in this document exactly and completely, in reading order, preserving casing, punctuation, currency symbols, and codes. Use an HTML table only for genuinely tabular content, mirroring its rows, columns, and merged cells; write the HTML on single lines with no indentation or blank lines between tags, and collapse horizontal alignment to a single space.", "match_method": "similarity", "score": 0.8693, "attempts": 1, "retries": 0, "total_seconds": 33.5498}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 35, "image": "c81c96a7-296d-4050-827a-f89309f7a523_png.rf.28cfadfc50dc15c7a43434f17af3489f.jpg", "expected": "will i am \nPlumbing & Heating\n\nBusiness Address \n24 Godwin House \nLondon, E2 8PH\n\n07851 499 470\n\n020 7 686 8226\n\ninfo@will-i-am-pnh.co.uk\n\nInvoice to: \nOrkun Acikgoz \nFlat 3 Pedlers Apartments, 1C Hewison \nStreet E3 2HZ\n\nInvoice No: 17065 \nDate: 12th May 2025\n\nRef: Flat 3 Pedlers Apartments, 1C Hewison \nStreet E3 2HZ\n\n
DESCRIPTIONQTYUNIT PRICETOTAL PRICE
Carried out an investigation, fault diagnosis and attempt to repair a leak going downstairs after the shower was used on 12/05/25 (2 hours on site - please refer to email for a report)2\u00a3100.00\u00a3200.00
Materials - x1 white silicone, x1 PTFE1\u00a310.78\u00a310.78
\n\n
SUBTOTAL:\u00a3210.78
20.0% S:\u00a342.16
TOTAL:\u00a3252.94
PAID:\u00a30.00
BALANCE DUE:\u00a3252.94
\n\nBank details as follows: \nBANK \u2013 HSBC \nwill i am Plumbing & Heating Limited \nSORT CODE \u2013 40-01-18 \nACCOUNT NO. - 41837478\n\n\u00a3252.94 due on 12th May 2025\n\nThank You", "predicted": "will i am\nPlumbing & Heating\n\nBusiness Address\n24 Godwin House\nLondon, E2 8PH\n07851 499 470\n020 7 686 8226\ninfo@will-i-am-pnh.co.uk\n\nInvoice to:\nOrkun Acikgoz\nFlat 3 Pedlers Apartments, 1C Hewison\nStreet E3 2HZ\n\nInvoice No: 17065\nDate: 12th May 2025\nRef: Flat 3 Pedlers Apartments, 1C Hewison\nStreet E3 2HZ\n\n\n\n\n\n
DESCRIPTIONQTYUNIT PRICETOTAL PRICE
Carried out an investigation, fault diagnosis and attempt to repair a leak going downstairs after the shower was used on 12/05/25 (2 hours on site - please refer to email for a report)2\u00a3100.00\u00a3200.00
Materials - x1 white silicone, x1 PTFE1\u00a310.78\u00a310.78
\n\nSUBTOTAL: \u00a3210.78\n20.0% S: \u00a342.16\nTOTAL: \u00a3252.94\nPAID: \u00a30.00\nBALANCE DUE: \u00a3252.94\n\nBank details as follows:\nBANK \u2013 HSBC\nwill i am Plumbing & Heating Limited\nSORT CODE \u2013 40-01-18\nACCOUNT NO. - 41837478\n\n\u00a3252.94 due on 12th May 2025\nThank You", "correct": false, "input_tokens": 1194, "output_tokens": 2137, "elapsed_seconds": 29.607080874964595, "metadata": {"question": "Transcribe all text in this document exactly and completely, in reading order, preserving casing, punctuation, currency symbols, and codes. Use an HTML table only for genuinely tabular content, mirroring its rows, columns, and merged cells; write the HTML on single lines with no indentation or blank lines between tags, and collapse horizontal alignment to a single space.", "match_method": "similarity", "score": 0.8594, "attempts": 1, "retries": 0, "total_seconds": 29.6343}} +{"model": "gemini-4-argon", "effort": "high", "task": "ocr", "timestamp": "20261012_225132", "index": 36, "image": "b883e11d-433f-4c18-b0a5-11a0599a241b_png.rf.1efeebf4c96c16074b4f57edde37de47.jpg", "expected": "AUTORES\n\n01- ANA LUIZA BAPTISTA\n02- ANA MARA ALVES DE FREITAS\n03- AMANDA MACHADO AGUIAR\n04- ANDREA NICOLAU PASCHOAL\n05- CARLOS EDUARDO PEREIRA DE MELLO\n06- CRISTIANE HONDA\n07- DANIEL DELAZERI DE FARIA\n08- DIEGO VIEIRA DE SOUZA\n09- ILAN AKISABURO KIMURA\n10- MARIANA BOTELHO MENEGATTI\n11- MARINA PEINADO BERBERIAN\n12- MICHAEL MENDES\n13- RAFAEL DONIZETI SOUZA DE TOLEDO\n14- RAFAEL PADILLA\n15- RAFAEL SCHULIEN\n16- RENATA QUISSAK BARTELEGA PEIXOTO\n17- SILVIA RIBEIRO BROTTO\n18- THAIS NAGOSHI SUZUKI", "predicted": "AUTORES\n\n01- ANA LUIZA BAPTISTA\n02- ANA MARA ALVES DE FREITAS\n03- AMANDA MACHADO AGUIAR\n04- ANDREA NICOLAU PASCHOAL\n05- CARLOS EDUARDO PEREIRA DE MELLO\n06- CRISTIANE HONDA\n07- DANIEL DELAZERI DE FARIA\n08- DIEGO VIEIRA DE SOUZA\n09- ILAN AKISABURO KIMURA\n10- MARIANA BOTELHO MENEGATTI\n11- MARINA PEINADO BERBERIAN\n12- MICHAEL MENDES\n13- RAFAEL DONIZETI SOUZA DE TOLEDO\n14- RAFAEL PADILLA\n15- RAFAEL SCHULIEN\n16- RENATA QUISSAK BARTELEGA PEIXOTO\n17- SILVIA RIBEIRO BROTTO\n18- THAIS NAGOSHI SUZUKI", "correct": true, "input_tokens": 1176, "output_tokens": 814, "elapsed_seconds": 13.275090584065765, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 1.0, "attempts": 1, "retries": 0, "total_seconds": 13.3688}} diff --git a/results/ocr_gemini-4-argon_low_20261012_223715.jsonl b/results/ocr_gemini-4-argon_low_20261012_223715.jsonl new file mode 100644 index 0000000..aac2e5a --- /dev/null +++ b/results/ocr_gemini-4-argon_low_20261012_223715.jsonl @@ -0,0 +1,37 @@ +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 0, "image": "4f770728-7b1f-4bf3-b877-e3d33fcc135d_png.rf.dffcaaeb26fd7fe4fd14891cb00a0adf.jpg", "expected": "100 Good Cookies\n1 cup white sugar 1 teaspoon baking soda\n1 cup brown sugar 1 cup quick oatmeal\n1 cup margarine 1 cup coconut\n1 cup cooking oil 1 cup Rice Krispies\n1 egg 1 cup chopped walnuts\n1 teaspoon vanilla 3\u00bd cups flour\n1 teaspoon cream of tartar 1-12oz. package mini\nchocolate chips\nMix in order given. Drop by teaspoonful onto cookie sheet. Bake at 350\u00b0 for 8-10 minutes.\n(over)", "predicted": "100 Good Cookies\n1 cup white sugar 1 teaspoon baking soda\n1 cup brown sugar 1 cup quick oatmeal\n1 cup margarine 1 cup coconut\n1 cup cooking oil 1 cup Rice Krispies\n1 egg 1 cup chopped walnuts\n1 teaspoon vanilla 3 1/2 cups flour\n1 teaspoon cream of tartar 1-12oz. package mini\n Chocolate chips\nMix in order given. Drop by teaspoonful onto\ncookie sheet. Bake at 350\u00b0 for 8-10 minutes.\n (over)", "correct": true, "input_tokens": 1163, "output_tokens": 120, "elapsed_seconds": 4.153376208967529, "metadata": {"question": "Transcribe all handwritten and printed text exactly as written, reading top to bottom and left to right, and omit nothing; mark only genuinely unreadable words as [illegible]. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9795, "attempts": 1, "retries": 0, "total_seconds": 4.1812}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 1, "image": "0de03edc-15c5-4782-a74b-7cedb1df477b_png.rf.357da74f0ffbbb05467a6069097f2740.jpg", "expected": "(1) 8 + 7 = 15 (9) 17 - 9 = 8\n(2) 15 - 6 = 9 (10) 7 + 9 = 16\n(3) 9 + 4 = 13 (11) 14 - 8 = 6\n(4) 13 - 5 = 8 (12) 5 + 6 = 11\n(5) 6 + 8 = 14 (13) 16 - 7 = 9\n(6) 5 + 9 = 14 (14) 3 + 7 = 10", "predicted": "(1) 8 + 7 = 15 (9) 17 - 9 = 8\n(2) 15 - 6 = 9 (10) 7 + 9 = 16\n(3) 9 + 4 = 13 (11) 14 - 8 = 6\n(4) 13 - 5 = 8 (12) 5 + 6 = 11\n(5) 6 + 8 = 14 (13) 16 - 7 = 9\n(6) 5 + 9 = 14 (14) 3 + 7 = 10", "correct": true, "input_tokens": 1178, "output_tokens": 158, "elapsed_seconds": 3.837110082968138, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 1.0, "attempts": 1, "retries": 0, "total_seconds": 3.8516}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 2, "image": "861cb64d-800a-4635-999c-739199f8b473_png.rf.2dfcae9315498e5af9851962b9b1b65d.jpg", "expected": "2516 Country Club Rd.\nWinston Salem NC 27104\nJuly 17, 1981\n\nDr T S Osdene\nDirector of Research and Scientific Affairs\nPHILIP MORRIS USA\nResearch Center\nP.O Box 26583\nRichmond VA 23261\n\nDear Tom \u2014\n\nRe MDA NO/NOx Field Kit\n\nMDA requires prepayment before shipment\nof materials to private individuals. Accordingly\nI mailed check for $2505.00 for Kit yesterday.\nCopies for verification are enclosed. I presume\nthis will suffice to reimburse me.\n\nAs soon as MDA receives check, presumably\nJuly 20, Kit will be shipped to me by UPS and\nI will immediately trans ship by UPS to\nyou.\n\nCongrats on the birth of your son. Best wishes\nto Mrs Osdene and you.\n\n\u03a6000018736\n\nSincerely\nMurray", "predicted": "2516 Country Club Rd.\nWinston Salem NC 27104\nJuly 17, 1981\n\nDr T S Osdene\nDirector of Research and Scientific Affairs\nPHILIP MORRIS USA\nResearch Center\nP.O Box 26583\nRichmond VA 23261\n\nDear Tom -\n\nRe MDA NO/NOx Field Kit\n\nMDA requires prepayment before shipment\nof materials to private individuals. Accordingly\nI mailed check for $2505.00 for kit yesterday.\nCopies for verification are enclosed. I presume\nthis will suffice to reimburse me.\n\nAs soon as MDA receives check, presumably\nJuly 20, kit will be shipped to me by UPS and\nI will immediately trans ship by UPS to\nyou.\n\nCongrats on the birth of your son. Best wishes\nto Mrs Osdene and you. 1000018736\n\nSincerely\nMurray", "correct": true, "input_tokens": 1161, "output_tokens": 207, "elapsed_seconds": 4.543883583042771, "metadata": {"question": "Transcribe all handwritten and printed text exactly as written, reading top to bottom and left to right, and omit nothing; mark only genuinely unreadable words as [illegible]. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9911, "attempts": 1, "retries": 0, "total_seconds": 4.5609}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 3, "image": "bfe2208e-9dcb-4273-9781-be20d0ae766a_png.rf.2506b1cf22374cc1de2823bf766ef968.jpg", "expected": "Ent 103326 Bk 331 Pg 470\nDate: 20-JUN-2006 2:28PM\nORDINANCE NO. CO-06-5 Fee: None\nFiled By: AKT\nBRENDA NELSON, Recorder\nMORGAN COUNTY\nAN ORDINANCE ADOPTING THE STATE WILDLIFE RESOURCES CODE\nFOR MORGAN COUNTY.\n\nWHEREAS, the Morgan County Sheriff's Office is charged with the enforcement of\nregulations and laws relating to wildlife resources within Morgan County; and\n\nWHEREAS, in the course of the Sheriff's enforcement duties it is often necessary to cite\nindividuals for violations of the various state rules regulating wildlife resources; and\n\nWHEREAS, Morgan County would like to cite violators for county ordinance violations\nrather than state code violations since violators are processed by county enforcement officers,\nprosecuted in county courts by county prosecutors, and incarcerated, if necessary, in county jails;\n\nNOW THEREFOR, the County Council of Morgan County, State of Utah, hereby\nordains as follows:\n\nWILDLIFE RESOURCES ORDINANCE\n\nSection 1. Adoption of the Utah wildlife resources Code, Rules and Regulations\n\nThe Rules and Regulations contained in Utah Code Annotated Title 23, as amended, and the\nRules promulgated thereunder, are hereby adopted as the wildlife resources Code, Rules and\nRegulations of Morgan County. Any provisions of Title 23 providing a penalty greater than a\nClass B misdemeanor, or not relating to criminal or administrative sanctions, are not incorporated\nas part of this ordinance.\n\nSection 2. Amendments\n\nIn order to assure continuing uniformity between the Utah wildlife resources Rules and\nRegulations and the Morgan County wildlife resources Rules and Regulations, this Ordinance\nwill include any and all periodic amendments to the State Rules and Regulations, Title 23, after\nthe effective date of this title, made by the Utah State Legislature or by the Utah Department of\nNatural Resources.\n\nSection 3. Effective Date\n\nThis ordinance shall take effect 15 days after passage, after required publication and after a copy\nof the ordinance is deposited with the Morgan County Clerk's Office.\n\nAPPROVED, ADOPTED, AND PASSED and ordered published by the Morgan County\nCouncil, this 6th day of June, 2006.", "predicted": "Ent 103326 Bk 231 Pg 470\n Date: 20-JUN-2006 2:28PM\n ORDINANCE NO. CO-06-9\n Fee: None\n Filed By: AKT\n BRENDA NELSON, Recorder\n MORGAN COUNTY\n AN ORDINANCE ADOPTING THE STATE WILDLIFE RESOURCES CODE\n For: MORGAN COUNTY\n FOR MORGAN COUNTY.\n\n WHEREAS, the Morgan County Sheriff's Office is charged with the enforcement of\nregulations and laws relating to wildlife resources within Morgan County; and\n\n WHEREAS, in the course of the Sheriff's enforcement duties it is often necessary to cite\nindividuals for violations of the various state rules regulating wildlife resources; and\n\n WHEREAS, Morgan County would like to cite violators for county ordinance violations\nrather than state code violations since violators are processed by county enforcement officers,\nprosecuted in county courts by county prosecutors, and incarcerated, if necessary, in county jails;\n\n NOW THEREFOR, the County Council of Morgan County, State of Utah, hereby\nordains as follows:\n\n\n WILDLIFE RESOURCES ORDINANCE\n\n\nSection 1. Adoption of the Utah wildlife resources Code, Rules and Regulations\n\nThe Rules and Regulations contained in Utah Code Annotated Title 23, as amended, and the\nRules promulgated thereunder, are hereby adopted as the wildlife resources Code, Rules and\nRegulations of Morgan County. Any provisions of Title 23 providing a penalty greater than a\nClass B misdemeanor, or not relating to criminal or administrative sanctions, are not incorporated\nas part of this ordinance.\n\nSection 2. Amendments\n\nIn order to assure continuing uniformity between the Utah wildlife resources Rules and\nRegulations and the Morgan County wildlife resources Rules and Regulations, this Ordinance\nwill include any and all periodic amendments to the State Rules and Regulations, Title 23, after\nthe effective date of this title, made by the Utah State Legislature or by the Utah Department of\nNatural Resources.\n\nSection 3. Effective Date\n\nThis ordinance shall take effect 15 days after passage, after required publication and after a copy\nof the ordinance is deposited with the Morgan County Clerk's Office.\n\n\n APPROVED, ADOPTED, AND PASSED and ordered published by the Morgan County\nCouncil, this 6th day of June , 2006.", "correct": true, "input_tokens": 1168, "output_tokens": 480, "elapsed_seconds": 7.1937762080924585, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9817, "attempts": 1, "retries": 0, "total_seconds": 7.2245}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 4, "image": "d6b410b8-2381-4e65-8113-2dbcca295990_png.rf.794671b291d105d363ebd6d8d93b3fc8.jpg", "expected": "THIS SENTENCE WAS WRITTEN BY SOMEONE WITH DYSGRAPHIA", "predicted": "[model returned no content]", "correct": false, "input_tokens": 1181, "output_tokens": 19, "elapsed_seconds": 2.3924927919870242, "metadata": {"question": "Transcribe all handwritten and printed text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.0577, "attempts": 1, "retries": 0, "total_seconds": 2.4052}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 5, "image": "9c225ac4-3b44-42cf-a0dc-4a3984c5bac9_png.rf.1455a695dcdb15839a0deb51bf270c04.jpg", "expected": "When I built menugen ~1 year ago, I observed that the hardest part by far was not the code itself, it was the plethora of services you have to assemble like IKEA furniture to make it real, the DevOps: services, payments, auth, database, security, domain names, etc...\n\nI am really looking forward to a day where I could simply tell my agent: \"build menugen\" (referencing the post) and it would just work. The whole thing up to the deployed web page. The agent would have to browse a number of services, read the docs, get all the api keys, make everything work, debug it in dev, and deploy to prod. This is the actually hard part, not the code itself. Or rather, the better way to think about it is that the entire DevOps lifecycle has to become code, in addition to the necessary sensors/actuators of the CLIs/APIs with agent-native ergonomics. And there should be no need to visit web pages, click buttons, or anything like that for the human.\n\nIt's easy to state, it's now just barely technically possible and expected to work maybe, but it definitely requires from-scratch re-design, work and thought. Very exciting direction!", "predicted": "Andrej Karpathy\n@karpathy\n\nWhen I built menugen ~1 year ago, I observed that the hardest part by far was not the code itself, it was the plethora of services you have to assemble like IKEA furniture to make it real, the DevOps: services, payments, auth, database, security, domain names, etc...\n\nI am really looking forward to a day where I could simply tell my agent: \"build menugen\" (referencing the post) and it would just work. The whole thing up to the deployed web page. The agent would have to browse a number of services, read the docs, get all the api keys, make everything work, debug it in dev, and deploy to prod. This is the actually hard part, not the code itself. Or rather, the better way to think about it is that the entire DevOps lifecycle has to become code, in addition to the necessary sensors/actuators of the CLIs/APIs with agent-native ergonomics. And there should be no need to visit web pages, click buttons, or anything like that for the human.\n\nIt's easy to state, it's now just barely technically possible and expected to work maybe, but it definitely requires from-scratch re-design, work and thought. Very exciting direction!\n\u7ffb\u8bd1\u5e16\u5b50", "correct": true, "input_tokens": 1173, "output_tokens": 274, "elapsed_seconds": 4.97481216606684, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom, keeping each author's handle with their message, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the top-level tweet authored by Andrej Karpathy (@karpathy).", "match_method": "similarity", "score": 0.9725, "attempts": 1, "retries": 0, "total_seconds": 4.9891}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 6, "image": "9fdae0ac-7d89-45f1-b628-bcdbac72c185_png.rf.7b62d1c22ac071a0003f46d2feaae5e5.jpg", "expected": "```javascript\nconst BROWSER_APP_NAMES = new Set([\n \"google chrome\",\n \"google chrome canary\",\n \"chromium\",\n \"microsoft edge\",\n \"mozilla firefox\",\n \"firefox\",\n \"opera\",\n \"brave browser\",\n \"vivaldi\",\n \"arc\",\n]);\n```", "predicted": "```javascript\nconst BROWSER_APP_NAMES = new Set([\n \"google chrome\",\n \"google chrome canary\",\n \"chromium\",\n \"microsoft edge\",\n \"mozilla firefox\",\n \"firefox\",\n \"opera\",\n \"brave browser\",\n \"vivaldi\",\n \"arc\",\n]);\n```", "correct": false, "input_tokens": 1219, "output_tokens": 80, "elapsed_seconds": 3.920031457906589, "metadata": {"question": "Transcribe every piece of text in this screenshot exactly as written, in reading order, and omit nothing. Put source code inside fenced code blocks, preserving indentation, quotes, and casing exactly, and transcribe surrounding interface text as Markdown. Transcribe only the definition of the `BROWSER_APP_NAMES` constant shown in the code editor, and ignore all other code, the editor chrome, file tabs, sidebars, and the terminal.", "match_method": "similarity", "score": 0.9107, "attempts": 1, "retries": 0, "total_seconds": 3.9442}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 7, "image": "5cf55f37-8adb-4adb-9520-148340548028_png.rf.d09a7340877434f1cbdb25f1eccd4774.jpg", "expected": "TOM GREEN HANDYMAN\n5 Any Street, Any City, That Area Code\nTelephone: 0800 XXX XXX\n\nDate : 6/5/2016\nInvoice No : 0003521\nTax Registered No 123456\n\nMr and Mrs Fielding\nThis Address\nThis City\nThis Area Code\n\nTAX INVOICE\n\n
QuantityDescriptionUnit PriceCost
Upgrade to Bathroom
23.75Labour40.00950.00
50Nails and screws0.8040.00
1Paint and Plywood1000.001000.00
40Imported wall tiles14.00560.00
1Freight150.00150.00
1Sub-contractor : Tile-It228.00
Subtotal2928.00
Tax439.20
Total Due$3,367.20
\n\nPayment due by the 10th of the month following the date of invoice.\nPlease make payment into Bank Account No. 12 3456 789112 012\n\nInterest of 10% per year will be charged on late payments.\n\nCut here\n\nRemittance\n\nMr and Mrs Fielding\n\nTOM GREEN HANDYMAN\n5 Any Street\nAny City\nThat Area Code\n\nAmount Due $3,367.20\nAmount Paid ______", "predicted": "**TOM GREEN HANDYMAN**\n**5 Any Street, Any City, That Area Code**\n**Telephone: 0800 XXX XXX**\n\n**Date :** 6/5/2016 **Invoice No :** 0003521\n\n**Tax Registered No 123456**\n\nMr and Mrs Fielding\nThis Address\nThis City\nThis Area Code\n\n**T A X I N V O I C E**\n\n
QuantityDescriptionUnit PriceCost
Upgrade to Bathroom
23.75Labour40.00950.00
50Nails and screws0.8040.00
1Paint and Plywood1000.001000.00
40Imported wall tiles14.00560.00
1Freight150.00150.00
1Sub-contractor : Tile-It228.00
Subtotal2928.00
Tax439.20
Total Due$3,367.20
\n\nPayment due by the 10th of the month following the date of invoice.\nPlease make payment into Bank Account No. **12 3456 789112 012**\n\nInterest of 10% per year will be charged on late payments.\n\n---\n**Cut here**\n**Remittance**\n**Mr and Mrs Fielding**\nTOM GREEN HANDYMAN\n5 Any Street **Amount Due $3,367.20**\nAny City\nThat Area Code **Amount Paid** \\_\\_\\_\\_\\_\\_\\_\\_\\_\\_", "correct": false, "input_tokens": 1194, "output_tokens": 473, "elapsed_seconds": 6.474449582980014, "metadata": {"question": "Transcribe all text in this document exactly and completely, in reading order, preserving casing, punctuation, currency symbols, and codes. Use an HTML table only for genuinely tabular content, mirroring its rows, columns, and merged cells; write the HTML on single lines with no indentation or blank lines between tags, and collapse horizontal alignment to a single space.", "match_method": "similarity", "score": 0.8669, "attempts": 1, "retries": 0, "total_seconds": 6.4879}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 8, "image": "1bce4a54-e6bc-4752-b48e-d9889895936a_png.rf.6f12b4139eeac41161f2fb59dad48237.jpg", "expected": "I run hermes handling whatsapp, email, cron jobs, building apps, outreaching customers, outbound and inbound calls \u2014 the whole thing. hasn't needed babysitting in weeks. if you're on the fence just try it. worst case you go back. but I don't think you will", "predicted": "Falcon @Falconve_ \u00b7 6\u5c0f\u65f6\nI run hermes handling whatsapp, email, cron jobs, building apps, outreaching customers, outbound and inbound calls \u2014 the whole thing. hasn't needed babysitting in weeks. if you're on the fence just try it. worst case you go back. but I don't think you will", "correct": false, "input_tokens": 1159, "output_tokens": 76, "elapsed_seconds": 3.906180249992758, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom, keeping each author's handle with their message, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the last (bottom-most) tweet in the thread by Falcon (@Falconve_).", "match_method": "similarity", "score": 0.9143, "attempts": 1, "retries": 0, "total_seconds": 3.9377}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 9, "image": "eb592312-33c0-41ff-91ec-6e87ad25f12e_png.rf.ad80ac2d57c33733bd20600e13e312f3.jpg", "expected": "(SAE09TR.72) A 13-year-old girl sustained an isolated midshaft left femoral fracture in a motor vehicle accident. The fracture was treated with a rigid, antegrade intramedullary nail placed through the piriformis fossa. The fracture healed uneventfully, as shown in Figure 46a; however, at 12 months postoperatively she now reports left hip pain. A current AP radiograph and MRI scan are shown in Figures 46b and 46c. What complication occurred in this patient? Review Topic\n\n1 Chondrolysis\n2 Ischemic necrosis of the femoral head\n3 Ischemic necrosis of the greater trochanter\n4 Femoral neck fracture\n5 Trochanteric overgrowth\n\nPREFERRED RESPONSE 2\n\nThe development of femoral head ischemic necrosis is the iatrogenically created complication in this skeletally immature patient. Placement of a rigid, antegrade intramedullary nail through the piriformis fossa is likely to damage the vascular supply to the femoral head as the vessels ascend the femoral neck on the way to the femoral head. The MRI scan reveals ischemic necrosis with early collapse of the femoral head. The joint space is preserved on the MRI scan, ruling out chondrolysis.\n\n(SAE08OS.196) An adult patient has had low-grade fevers, malaise, and joint pain for the past several days. Examination reveals an erythematous \"bulls eye\" rash over the right thigh (erythema migrans). What is the organism associated with this infection? Review Topic", "predicted": "(SAE09TR.72) A 13-year-old girl sustained an isolated midshaft left femoral fracture in a motor vehicle accident. The fracture was treated with a rigid, antegrade intramedullary nail placed through the piriformis fossa. The fracture healed uneventfully, as shown in Figure 46a; however, at 12 months postoperatively she now reports left hip pain. A current AP radiograph and MRI scan are shown in Figures 46b and 46c. What complication occurred in this patient? Review Topic\n\n*1* Chondrolysis\n*2* Ischemic necrosis of the femoral head\n*3* Ischemic necrosis of the greater trochanter\n*4* Femoral neck fracture\n*5* Trochanteric overgrowth\n\n\nPREFERRED RESPONSE 2\n\nThe development of femoral head ischemic necrosis is the iatrogenically created complication in this skeletally immature patient. Placement of a rigid, antegrade intramedullary nail through the piriformis fossa is likely to damage the vascular supply to the femoral head as the vessels ascend the femoral neck on the way to the femoral head. The MRI scan reveals ischemic necrosis with early collapse of the femoral head. The joint space is preserved on the MRI scan, ruling out chondrolysis.\n\n\n(SAE08OS.196) An adult patient has had low-grade fevers, malaise, and joint pain for the past several days. Examination reveals an erythematous \"bulls eye\" rash over the right thigh (erythema migrans). What is the organism associated with this infection? Review Topic", "correct": true, "input_tokens": 1169, "output_tokens": 334, "elapsed_seconds": 5.700265709077939, "metadata": {"question": "Transcribe every piece of text in this image exactly as written, in reading order, preserving question and option numbering, and omit nothing. Write mathematical expressions in LaTeX and format the result as Markdown that mirrors the layout.", "match_method": "similarity", "score": 0.9916, "attempts": 1, "retries": 0, "total_seconds": 5.7367}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 10, "image": "c50bed4d-e825-46b7-ac5c-a84806fa0481_png.rf.dbad52cae24c6759d646ebb0ad6c30a3.jpg", "expected": "```python\nimport random\n\ndef roll_dice(n=2, sides=6):\n return [random.randint(1, sides) for _ in range(n)]\n\ndef magic_8ball():\n responses = [\n \"Yes\", \"No\", \"Maybe\", \"Ask again later\",\n \"Absolutely\", \"No way\", \"Signs point to yes\",\n \"Don't count on it\", \"Without a doubt\",\n ]\n return random.choice(responses)\n\nif __name__ == \"__main__\":\n print(f\"Rolling 2 dice: {roll_dice()}\")\n print(f\"Magic 8-Ball says: {magic_8ball()}\")\n print(f\"Your lucky number: {random.randint(1, 100)}\")\n```", "predicted": "```python\nimport random\n\ndef roll_dice(n=2, sides=6):\n return [random.randint(1, sides) for _ in range(n)]\n\ndef magic_8ball():\n responses = [\n \"Yes\", \"No\", \"Maybe\", \"Ask again later\",\n \"Absolutely\", \"No way\", \"Signs point to yes\",\n \"Don't count on it\", \"Without a doubt\",\n ]\n return random.choice(responses)\n\nif __name__ == \"__main__\":\n print(f\"Rolling 2 dice: {roll_dice()}\")\n print(f\"Magic 8-Ball says: {magic_8ball()}\")\n print(f\"Your lucky number: {random.randint(1, 100)}\")\n```", "correct": true, "input_tokens": 1171, "output_tokens": 180, "elapsed_seconds": 8.793039166019298, "metadata": {"question": "Transcribe every piece of text in this screenshot exactly as written, in reading order, and omit nothing. Put source code inside fenced code blocks, preserving indentation, quotes, and casing exactly, and transcribe surrounding interface text as Markdown. Transcribe only the code shown in the editor pane, ignoring the editor chrome, file tabs, sidebars, and the line-number gutter.", "match_method": "similarity", "score": 1.0, "attempts": 1, "retries": 0, "total_seconds": 8.9099}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 11, "image": "d0980bab-2f15-4550-b3e6-813a2ad7e709_png.rf.4002baedf14c91e52686c70ec58fd7f0.jpg", "expected": "Example 3 (HW)\nEach of the numbers 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 is written\non a separate piece of paper. The 10 pieces of paper\nare then placed in a hat. If one piece of paper is\nselected at random from hat, estimate the probability\nthat:\n(i) the number written on piece of paper is an even\nnumber or greater than 6.\n(ii) the number written on piece of paper is less than 5\nor greater than 8.\n(iii) the number written on piece of paper is divisible by 4.\n(iv) the \" \" \" \" \" \" \" at least 7.\n(v) \" \" \" \" \" \" \" at most 3.", "predicted": "Example 3 (HW)\nEach of the numbers 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 is written\non a separate piece of paper. The 10 pieces of paper\nare then placed in a hat. If one piece of paper is\nselected at random from hat, estimate the probability\nthat:\n(i) the number written on piece of paper is an even\n number or greater than 6.\n(ii) the number written on piece of paper is less than 5\n or greater than 8.\n(iii) the number written on piece of paper is divisible by 4.\n(iv) the \" \" \" \" \" \" \" at least 7.\n(v) \" \" \" \" \" \" \" \" at most 3.\nCS Scanned with CamScanner", "correct": false, "input_tokens": 1180, "output_tokens": 192, "elapsed_seconds": 4.89382483297959, "metadata": {"question": "Transcribe all handwritten and printed text exactly as written, reading top to bottom and left to right, and omit nothing; mark only genuinely unreadable words as [illegible]. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9436, "attempts": 1, "retries": 0, "total_seconds": 4.9533}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 12, "image": "00099ca8-7388-4ccb-a9ae-0def0f38e1d4_png.rf.87454ebaa2a188c18aadac0664ef70f6.jpg", "expected": "I'm losing so much money every single second I dont spend in the states. Every day I wake up, I'm hyperventilating about the fact that I am irresponsibly putting my young family's future at great risk because I can't but help listen to my gut. I am filled with doubt every day", "predicted": "kache @yacineMTB \u00b7 9\u5c0f\u65f6\nI'm losing so much money every single second I dont spend in the states. Every day I wake up, I'm hyperventilating about the fact that I am irresponsibly putting my young family's future at great risk because I can't but help listen to my gut. I am filled with doubt every day\n\nstainlesssteelcockroach @stainle55446702 \u00b7 10\u5c0f\u65f6\n\u56de\u590d @yacineMTB\nYou would like it down south as well. Where engineers are honored as the future.....\n\n40 1 248 2.5\u4e07\n\nkache @yacineMTB \u00b7 9\u5c0f\u65f6\nEvery time my friends tell me about the random 2 million dollar equity bonus they got, I am staring into the devil's eyes. I can't do it. It's not what Jesus would do\n\n4 61 3,873\n\nFirst tweet by kache (@yacineMTB):\nI'm losing so much money every single second I dont spend in the states. Every day I wake up, I'm hyperventilating about the fact that I am irresponsibly putting my young family's future at great risk because I can't but help listen to my gut. I am filled with doubt every day", "correct": false, "input_tokens": 1188, "output_tokens": 286, "elapsed_seconds": 5.264299041940831, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom, keeping each author's handle with their message, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the first tweet by kache (@yacineMTB).", "match_method": "similarity", "score": 0.2822, "attempts": 1, "retries": 0, "total_seconds": 5.2783}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 13, "image": "838b00ad-2a6d-4bc7-84a3-d3cb3e6fdfb8_png.rf.86b85c55a59bba487946e192adc78406.jpg", "expected": "The French Revolution began in 1789 in France and was caused by several political, social, and economic factors. One major cause was the inequality in the social structure known as the Estates System, where the clergy and nobility enjoyed privileges while the common people had to pay heavy taxes. Another cause was the financial crisis faced by the monarchy due to wars and extravagant spending by Louis XVI and the royal court.\n\nThe influence of Enlightenment thinkers also played a significant role. Philosophers like Jean-Jacques Rousseau and Voltaire promoted ideas of liberty, equality, and popular sovereignty. These ideas encouraged people to question the authority of the monarchy.\n\nThe revolution had major effects on French society and politics. The monarchy was abolished, and France eventually became a republic. The revolution led to the Reign of Terror, during which many people were executed. In the long term, the revolution spread the ideals of liberty, equality, and fraternity across Europe and influenced many future democratic movements.", "predicted": "The French Revolution began in 1789 in France and was caused by several political, social, and economic factors. One major cause was the\ninequality in the social structure known as the Estates System, where the clergy and nobility enjoyed privileges while the common people had\nto pay heavy taxes. Another cause was the financial crisis faced by the monarchy due to wars and extravagant spending by Louis XVI and the\nroyal court.\n\nThe influence of Enlightenment thinkers also played a significant role. Philosophers like Jean-Jacques Rousseau and Voltaire promoted ideas\nof liberty, equality, and popular sovereignty. These ideas encouraged people to question the authority of the monarchy.\n\nThe revolution had major effects on French society and politics. The monarchy was abolished, and France eventually became a republic. The\nrevolution led to the Reign of Terror, during which many people were executed. In the long term, the revolution spread the ideals of\nliberty, equality, and fraternity across Europe and influenced many future democratic movements.", "correct": true, "input_tokens": 1140, "output_tokens": 203, "elapsed_seconds": 4.443502917070873, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9943, "attempts": 1, "retries": 0, "total_seconds": 4.4543}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 14, "image": "efe6537c-b164-43c1-8a9b-a329c7b96ec1_png.rf.96d23b9a67c8c503dd57cc8ddb11363b.jpg", "expected": "Clinical Nurse Manager Sep 2012 \u2013 Jul 2014\nBarron Center \u2013 Portland, ME\nManaged nursing operations on a 26-bed skilled rehabilitation unit, ensuring effective clinical care delivery.\n\u2022 Supervised nursing staff performance and provided ongoing competency evaluations.\n\u2022 Developed individualized care plans in collaboration with physicians and rehabilitation teams.\n\u2022 Implemented policies and procedures to meet regulatory and accreditation requirements.\n\nRegistered Nurse, Medical-Surgical Unit (Float Pool) Jun 2012 \u2013 Sep 2012\nMercy Hospital \u2013 Portland, ME\nProvided direct patient care within medical-surgical units, ensuring safe and effective treatment delivery.\n\u2022 Performed comprehensive physical assessments and monitored patient progress.\n\u2022 Administered medications and documented interventions per hospital protocols.\n\u2022 Collaborated with multidisciplinary teams to coordinate and plan care.\n\nEDUCATION, CERTIFICATIONS & LICENSURE\n\nBachelor of Science in Nursing (BSN)\nWestern Governors University, Salt Lake City, UT | Graduated January 2019\n\nAssociate of Science in Nursing (ASN)\nCollege of Nursing and Health Professions, Lewiston, ME | Graduated May 2010\n\nCertifications & Licensure\n\u2022 Registered Nurse (RN License #R057634) \u2013 State of Maine\n\u2022 Basic Life Support (BLS) \u2013 Current through December 2027\n\u2022 Educated in: Accountable Care Organizations (ACOs), Patient-Driven Payment Model (PDPM)\n\u2022 Clinical Systems Proficiency: Cerner / PowerChart, EPIC, Quantum, PointClickCare\n\u2022 Utilization Review Tools: InterQual, NaviHealth, CarePort\n\u2022 Analytics & Administrative Systems: Salesforce, Tableau, Microsoft Excel & PowerPoint, ADP, SAP Concur\n\nSKILLS & ADDITIONAL INFORMATION\n\nTechnical Skills\n\u2022 Clinical Systems & EMRs: Cerner / PowerChart, EPIC, Quantum, PointClickCare\n\u2022 Utilization Management Tools: InterQual, NaviHealth, CarePort\n\u2022 Data & Analytics Platforms: Tableau, Salesforce\n\u2022 Productivity Software: Microsoft Office Suite (Excel, PowerPoint, Word, Outlook)\n\u2022 Administrative Systems: ADP, SAP Concur\n\u2022 Quality & Compliance Tools: Electronic Health Record Audit Systems, Core Measure Review PlatformDedicated and results-\ndriven Recruiter/Talent Acquisition Specialist.\n\nPersonal Strengths\n\u2022 Strong leadership and team mentorship abilities\n\u2022 Critical thinking and complex problem-solving\n\u2022 Effective interdisciplinary communication and collaboration\n\u2022 Process improvement and workflow optimization\n\u2022 Independent and solution-focused decision-making\n\u2022 High attention to detail and documentation accuracy\n\u2022 Adaptable to evolving healthcare technologies and remote environments\n\u2022 Empathetic approach to patient advocacy and care coordination\n\nReferences are available upon request", "predicted": "Clinical Nurse Manager Sep 2012 \u2013 Jul 2014\n Barron Center \u2013 Portland, ME\n Managed nursing operations on a 26-bed skilled rehabilitation unit, ensuring effective clinical care delivery.\n \u2022 Supervised nursing staff performance and provided ongoing competency evaluations.\n \u2022 Developed individualized care plans in collaboration with physicians and rehabilitation teams.\n \u2022 Implemented policies and procedures to meet regulatory and accreditation requirements.\n\n Registered Nurse, Medical-Surgical Unit (Float Pool) Jun 2012 \u2013 Sep 2012\n Mercy Hospital \u2013 Portland, ME\n Provided direct patient care within medical-surgical units, ensuring safe and effective treatment delivery.\n \u2022 Performed comprehensive physical assessments and monitored patient progress.\n \u2022 Administered medications and documented interventions per hospital protocols.\n \u2022 Collaborated with multidisciplinary teams to coordinate and plan care.\n\n EDUCATION, CERTIFICATIONS & LICENSURE\n\n Bachelor of Science in Nursing (BSN)\n Western Governors University, Salt Lake City, UT | Graduated January 2019\n\n Associate of Science in Nursing (ASN)\n College of Nursing and Health Professions, Lewiston, ME | Graduated May 2010\n\n Certifications & Licensure\n \u2022 Registered Nurse (RN License #R057634) \u2013 State of Maine\n \u2022 Basic Life Support (BLS) \u2013 Current through December 2027\n \u2022 Educated in: Accountable Care Organizations (ACOs), Patient-Driven Payment Model (PDPM)\n \u2022 Clinical Systems Proficiency: Cerner / PowerChart, EPIC, Quantum, PointClickCare\n \u2022 Utilization Review Tools: InterQual, NaviHealth, CarePort\n \u2022 Analytics & Administrative Systems: Salesforce, Tableau, Microsoft Excel & PowerPoint, ADP, SAP Concur\n\n SKILLS & ADDITIONAL INFORMATION\n\n Technical Skills\n \u2022 Clinical Systems & EMRs: Cerner / PowerChart, EPIC, Quantum, PointClickCare\n \u2022 Utilization Management Tools: InterQual, NaviHealth, CarePort\n \u2022 Data & Analytics Platforms: Tableau, Salesforce\n \u2022 Productivity Software: Microsoft Office Suite (Excel, PowerPoint, Word, Outlook)\n \u2022 Administrative Systems: ADP, SAP Concur\n \u2022 Quality & Compliance Tools: Electronic Health Record Audit Systems, Core Measure Review PlatformDedicated and results-\n driven Recruiter/Talent Acquisition Specialist.\n\n Personal Strengths\n \u2022 Strong leadership and team mentorship abilities\n \u2022 Critical thinking and complex problem-solving\n \u2022 Effective interdisciplinary communication and collaboration\n \u2022 Process improvement and workflow optimization\n \u2022 Independent and solution-focused decision-making\n \u2022 High attention to detail and documentation accuracy\n \u2022 Adaptable to evolving healthcare technologies and remote environments\n \u2022 Empathetic approach to patient advocacy and care coordination\n\n References are available upon request", "correct": true, "input_tokens": 1178, "output_tokens": 554, "elapsed_seconds": 7.577705124975182, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9846, "attempts": 1, "retries": 0, "total_seconds": 7.5958}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 15, "image": "e21e8de4-67cb-4b99-acaf-7c73dc28df9f_png.rf.c9c271f7c9fe67f7186ee45aebf42a40.jpg", "expected": "ACS PLUS\n\nADVERTISING COMMUNICATION SERVICES\n\nBloc 17 App 233 1003 Cit\u00e9 les Olympiades\n\nTEL 71 771 324 FAX 71 770 682\n\nCode TVA1243006M/A/M/000\n\nEmail: acs.info@topnet.tn\n\nDEVIS N\u00b0 89-24\n\nClient: IEEE\n\nCode TVA:\n\nAdresse:\n\nT\u00e9l: Fax:\n\nTunis le 12/04/24\n\nCCB : 03210119011500465159A BNA KHERREDINE PACHA\n\n
R\u00e9f\u00e9renceD\u00e9signationQuantit\u00e9P. U.T.V.A.P.H.T.
Rollup 2 x 0,851170.00019%170.000
Pins1201.40019%168.000
Affiche A4 120 g impression R/V301.00019%30.000
Total H.T.368.000
Remise
Total HT368.000
\n\n
Total T.V.A. 10%
Total T.V.A. 7%
Total T.V.A. 19%69.920
Total T.V.A. 29%
Timbre Fiscal1.000
Total T.T.C.438.920
\n\n,\n\nArr\u00eat\u00e9 le pr\u00e9sent devis \u00e0 la somme de:\n\nDIRECTION COMMERCIALE", "predicted": "# ACS PLUS\nADVERTISING COMMUNICATION SERVICES\n---\nBloc 17 App 233 1003 Cit\u00e9 les Olympiades\nTEL 71 771 324 FAX 71 770 682\nCode TVA1243006M/A/M/000\nEmail: acs.info@topnet.tn\n\n# DEVIS N\u00b0 89-24\n\nClient: IEEE\nCode TVA:\nAdresse:\nT\u00e9l: Fax:\n\nTunis le 12/04/24\n\nCCB: 03210119011500465159A BNA KHERREDINE PACHA\n
R\u00e9f\u00e9renceD\u00e9signationQuantit\u00e9P. U.T.V.A.P.H.T.
Rollup 2 x 0,851170.00019%170.000
Pins1201.40019%168.000
Affiche A4 120 g impression R/V301.00019%30.000
\n\n
Total H.T.368.000
Remise
Total HT368.000
\n\n
Total T.V.A. 10%
Total T.V.A. 7%
Total T.V.A. 19%69.920
Total T.V.A. 29%
Timbre Fiscal1.000
Total T.T.C.438.920
\n\n,\nArr\u00eat\u00e9 le pr\u00e9sent devis \u00e0 la somme de:\n\nDIRECTION COMMERCIALE", "correct": false, "input_tokens": 1194, "output_tokens": 504, "elapsed_seconds": 5.933761624968611, "metadata": {"question": "Transcribe all text in this document exactly and completely, in reading order, preserving casing, punctuation, currency symbols, and codes. Use an HTML table only for genuinely tabular content, mirroring its rows, columns, and merged cells; write the HTML on single lines with no indentation or blank lines between tags, and collapse horizontal alignment to a single space.", "match_method": "similarity", "score": 0.8872, "attempts": 1, "retries": 0, "total_seconds": 5.941}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 16, "image": "280f2634-897d-499e-9e0e-2426fb6ed193_png.rf.de84ffe2f1cd78e0c4f16f319320c449.jpg", "expected": "Deloitte.\n\nDeloitte Touche Tohmatsu\nIndia LLP\nPrestige Trade Tower, Level 19\n46, Palace Road, High Grounds\nBengaluru - 560 001\nKarnataka, India\n\nTel: +91 80 6188 6000\nFax: +91 80 6188 6011\nwww.deloitte.com\n\nStrictly Private and Confidential\n\nDate: 8 July, 2025\n\nFlipkart Internet Private Limited\nAlyssa Begonia and Clover,\nEmbassy Tech Village ORR,\nDevarabeesanahalli Village,\nVarthur Hobli, Bangalore - 560103, Karnataka\n\nKind Attention: Mr. Kamal Chopra\n\nDear Sir,\n\nRe: Indirect Tax Services \u2013 Engagement Letter\n\nWe thank you for giving an opportunity to Deloitte Touche Tohmatsu India LLP (\u201cDTTI LLP\u201d or \u201cService Provider\u201d) to assist FLIPKART INTERNET PRIVATE LIMITED (\u201cClient\u201d/\u201dFKN\u201d/\u201dCompany\u201d) in Indirect tax services (\u201cServices\u201d) for the benefit of the Client and the subsidiaries and/or Affiliates of the Client as specified in Annexure-2.\n\n(The identified subsidiaries and Affiliates in Annexure-2 together with the Client, are hereinafter collectively referred to as \u201cBeneficiary/(ies)\u201d). The Services will be provided in accordance with and subject to the provisions of this engagement letter (including any Work Orders/Statement of Work and Annexures 1, 2, 3, 4, 5 and 6 hereto) (\u201cEngagement Letter\u201d) and the Standard Tax Terms attached hereto (the Engagement Letter and Standard Tax Terms hereinafter are collectively referred to as collectively \u201cContract\u201d).\n\n1. BACKGROUND\n\n1.1 Flipkart Internet Private Limited is a company which owns the E-commerce portal \u201cFlipkart.com\u201d. It functions as a marketplace wherein various business entities can list their products in the website in return to a fee charged to use its portal.\n\n1.2 We further understand that the company receives revenue through payment gateway services, hosting services, advertisement services, etc and is also engaged in fulfilment services rendered to the sellers listed on the website.\n\n1.3 We would be glad to provide assistance, more specifically described in below paragraph(s).", "predicted": "Deloitte.\n\nDeloitte Touche Tohmatsu\nIndia LLP\nPrestige Trade Tower, Level 19\n46, Palace Road, High Grounds\nBengaluru - 560 001\nKarnataka, India\n\nTel: +91 80 6188 6000\nFax: +91 80 6188 6011\nwww.deloitte.com\n\nStrictly Private and Confidential\n\nDate: 8 July, 2025\n\nFlipkart Internet Private Limited\nAlyssa Begonia and Clover,\nEmbassy Tech Village ORR,\nDevarabeesanahalli Village,\nVarthur Hobli, Bangalore - 560103, Karnataka\n\nKind Attention: Mr. Kamal Chopra\n\nDear Sir,\nRe: Indirect Tax Services \u2013 Engagement Letter\n\nWe thank you for giving an opportunity to Deloitte Touche Tohmatsu India LLP (\"DTTI LLP\" or \"Service Provider\") to assist FLIPKART INTERNET PRIVATE LIMITED (\"Client\"/\"FKN\"/\"Company\") in Indirect tax services (\"Services\") for the benefit of the Client and the subsidiaries and/or Affiliates of the Client as specified in Annexure-2.\n\n(The identified subsidiaries and Affiliates in Annexure-2 together with the Client, are hereinafter collectively referred to as \"Beneficiary/(ies)\"). The Services will be provided in accordance with and subject to the provisions of this engagement letter (including any Work Orders/Statement of Work and Annexures 1, 2, 3, 4, 5 and 6 hereto) (\"Engagement Letter\") and the Standard Tax Terms attached hereto (the Engagement Letter and Standard Tax Terms hereinafter are collectively referred to as collectively \"Contract\").\n\n1. BACKGROUND\n\n1.1 Flipkart Internet Private Limited is a company which owns the E-commerce portal \"Flipkart.com\". It functions as a marketplace wherein various business entities can list their products in the website in return to a fee charged to use its portal.\n\n1.2 We further understand that the company receives revenue through payment gateway services, hosting services, advertisement services, etc and is also engaged in fulfilment services rendered to the sellers listed on the website.\n\n1.3 We would be glad to provide assistance, more specifically described in below paragraph(s).\n\nMamatha T", "correct": true, "input_tokens": 1161, "output_tokens": 482, "elapsed_seconds": 6.5556794999865815, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9838, "attempts": 1, "retries": 0, "total_seconds": 6.6143}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 17, "image": "93441566-50c0-4bfb-9a31-437a2bc5e4f2_png.rf.cd5bf1f53754c220ec912b1c44ade759.jpg", "expected": "2\n3000\nCOUNTER +2000\nActivate:Main Once Per Turn You may add 1 card from your Life area to your hand: This Character gains +2000 power during this turn. Then, give this Character up to 2 rested DON!! cards.\nCHARACTER\nSanji\nStraw Hat Crew\nOP01-013", "predicted": "2 3000 \u6253\nSTRIKE\nCOUNTER +2000\nActivate:Main Once Per Turn You may add 1 card from\nyour Life area to your hand: This Character gains +2000\npower during this turn. Then, give this Character up to 2\nrested DON!! cards.\nCHARACTER\nSanji\nStraw Hat Crew OP01-013 R 1\n\u00a9E.O./S \u00a9E.O./S., T.A. BANDAI MADE IN JAPAN", "correct": false, "input_tokens": 1178, "output_tokens": 115, "elapsed_seconds": 4.137257416034117, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.7954, "attempts": 1, "retries": 0, "total_seconds": 4.1534}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 18, "image": "2e43ea51-fc34-4d42-8b0f-66b2172d81f7_png.rf.345ac976ac43b542da24279e8683876b.jpg", "expected": "Q.5\n\nLet $L_1$ be the line of intersection of the planes given by the equations\n\n$$2x + 3y + z = 4 \\quad \\text{and} \\quad x + 2y + z = 5.$$\n\nLet $L_2$ be the line passing through the point $P(2, -1, 3)$ and parallel to $L_1$. Let $M$ denote the plane given by the equation\n\n$$2x + y - 2z = 6.$$\n\nSuppose that the line $L_2$ meets the plane $M$ at the point $Q$. Let $R$ be the foot of the perpendicular drawn from $P$ to the plane $M$ .\n\nThen which of the following statements is (are) TRUE?\n\n| | |\n|---|---|\n| (A) | The length of the line segment $PQ$ is $9\\sqrt{3}$ |\n| (B) | The length of the line segment $QR$ is $15$ |\n| (C) | The area of $\\triangle PQR$ is $\\dfrac{3}{2}\\sqrt{234}$ |\n| (D) | The acute angle between the line segments $PQ$ and $PR$ is $\\cos^{-1}\\left(\\dfrac{1}{2\\sqrt{3}}\\right)$ |\n\nAnswer: A, C\n\n3/9", "predicted": "Q.5 Let $L_1$ be the line of intersection of the planes given by the equations\n\n$$2x + 3y + z = 4 \\text{ and } x + 2y + z = 5.$$\n\nLet $L_2$ be the line passing through the point $P(2, -1, 3)$ and parallel to $L_1$. Let $M$ denote the plane given by the equation\n\n$$2x + y - 2z = 6.$$\n\nSuppose that the line $L_2$ meets the plane $M$ at the point $Q$. Let $R$ be the foot of the perpendicular drawn from $P$ to the plane $M$.\n\nThen which of the following statements is (are) TRUE?\n\n| | |\n| :--- | :--- |\n| (A) | The length of the line segment $PQ$ is $9\\sqrt{3}$ |\n| (B) | The length of the line segment $QR$ is $15$ |\n| (C) | The area of $\\Delta PQR$ is $\\frac{3}{2}\\sqrt{234}$ |\n| (D) | The acute angle between the line segments $PQ$ and $PR$ is $\\cos^{-1}\\left(\\frac{1}{2\\sqrt{3}}\\right)$ |\n\n**Answer: A, C**\n\n---\n3/9", "correct": true, "input_tokens": 1184, "output_tokens": 307, "elapsed_seconds": 4.941227332921699, "metadata": {"question": "Transcribe every piece of text in this image exactly as written, in reading order, preserving question and option numbering, and omit nothing. Write mathematical expressions in LaTeX and format the result as Markdown that mirrors the layout.", "match_method": "similarity", "score": 0.9513, "attempts": 1, "retries": 0, "total_seconds": 4.9585}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 19, "image": "8b690a3e-b9cd-48e1-a323-981e43142145_png.rf.84216f941b59ba17963217ea5bea26e9.jpg", "expected": "Question 37:\nConsider a system with six I/O-bound processes and one CPU-bound process. Each I/O-bound process executes for 1 ms before blocking for a 12 ms I/O operation. The context-switch overhead is 0.1 ms.\nUsing Round-Robin scheduling:\na. Time quantum = 1 ms\nb. Time quantum = 6 ms\nFor each case:\n\u2022 Draw the execution timeline.\n\u2022 Determine the average waiting time of the CPU-bound process.\n\u2022 Explain how the choice of quantum affects waiting time.\n\nQuestion 38:\nConsider a system with twelve I/O-bound tasks and one CPU-bound task. Each I/O-bound task runs for 1 ms before performing an 8 ms I/O operation.\nUsing Round-Robin scheduling:\na. Time quantum = 1 ms\nb. Time quantum = 4 ms\nFor each case:\n\u2022 Show the sequence of process execution.\n\u2022 Determine the average number of processes in the ready queue.\n\u2022 Explain how the quantum affects queue length.\n\nQuestion 39:\nConsider a system with eight I/O-bound tasks and two CPU-bound tasks. Each I/O-bound task requests an I/O operation after every 2 ms of CPU execution. Each I/O operation requires 12 ms. Using Round-Robin scheduling:\na. Time quantum = 2 ms\nb. Time quantum = 8 ms\nDetermine:\n\u2022 CPU utilization.\n\u2022 I/O device utilization.\n\u2022 Periods when the I/O device is idle.", "predicted": "Question 37:\nConsider a system with six I/O-bound processes and one CPU-bound process. Each I/O-bound process executes for 1 ms before blocking for a 12 ms I/O operation. The context-switch overhead is 0.1 ms.\nUsing Round-Robin scheduling:\n a. Time quantum = 1 ms\n b. Time quantum = 6 ms\nFor each case:\n \u2022 Draw the execution timeline.\n \u2022 Determine the average waiting time of the CPU-bound process.\n \u2022 Explain how the choice of quantum affects waiting time.\n\nQuestion 38:\nConsider a system with twelve I/O-bound tasks and one CPU-bound task. Each I/O-bound task runs for 1 ms before performing an 8 ms I/O operation.\nUsing Round-Robin scheduling:\n a. Time quantum = 1 ms\n b. Time quantum = 4 ms\nFor each case:\n \u2022 Show the sequence of process execution.\n \u2022 Determine the average number of processes in the ready queue.\n \u2022 Explain how the quantum affects queue length.\n\nQuestion 39:\nConsider a system with eight I/O-bound tasks and two CPU-bound tasks. Each I/O-bound task requests an I/O operation after every 2 ms of CPU execution. Each I/O operation requires 12 ms. Using Round-Robin scheduling:\n a. Time quantum = 2 ms\n b. Time quantum = 8 ms\nDetermine:\n \u2022 CPU utilization.\n \u2022 I/O device utilization.\n \u2022 Periods when the I/O device is idle.", "correct": true, "input_tokens": 1162, "output_tokens": 363, "elapsed_seconds": 5.185847125016153, "metadata": {"question": "Transcribe every piece of text in this image exactly as written, in reading order, preserving question and option numbering, and omit nothing. Output as plain text but preserve the visual structure. Do not add any extra markdown styling.", "match_method": "similarity", "score": 0.9646, "attempts": 1, "retries": 0, "total_seconds": 5.1961}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 20, "image": "056e17c9-9b46-496a-9cf8-c1b54bd73216_png.rf.ad6da03e5299b085ff446174b8c6cc4b.jpg", "expected": "```python\nclass Snapshot(BaseModel):\n pageIndex: int = 1\n stateId: str # computed by extension\n interactive: List[InteractiveElement] = Field(default_factory=list)\n extracted: Optional[ExtractedCard] = None\n ts_ms: int\n```", "predicted": "```python\nclass Snapshot(BaseModel):\n pageIndex: int = 1\n stateId: str # computed by extension\n interactive: List[InteractiveElement] = Field(default_factory=list)\n extracted: Optional[ExtractedCard] = None\n ts_ms: int\n```", "correct": true, "input_tokens": 1200, "output_tokens": 71, "elapsed_seconds": 3.734610625077039, "metadata": {"question": "Transcribe every piece of text in this screenshot exactly as written, in reading order, and omit nothing. Put source code inside fenced code blocks, preserving indentation, quotes, and casing exactly, and transcribe surrounding interface text as Markdown. Transcribe only the complete definition of the `Snapshot` class exactly as it appears in the code editor, including the class line and all its fields, and ignore all other code, editor chrome, file tabs, sidebars, and the terminal.", "match_method": "similarity", "score": 1.0, "attempts": 1, "retries": 0, "total_seconds": 3.7742}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 21, "image": "0f7a1b1b-b0f9-4dba-9659-0455701b7a3f_png.rf.a006d974af16d067a2ee124fe9e15f3f.jpg", "expected": "Department of Computer Science and Engineering\nFaculty of Technology & Engineering\nThe M. S. University of Baroda, Vadodara\nS.S BE IV CSE (______)\n\nINDUSTRY PROJECT EVALUATION FORM\n\nName of the Student : Raval Sumit Bharatbhai\nName of Project Guide : Sukhvala Prit Hasmukhbhai\nTitle / Designation : Jr. Salesforce Developer\nEmail of Project Guide : sukhvalaps@gmail.com\nAddress of the Organization : Dev Arcade, U3, Eru Char Rasta, Vejalpore, Jalalpore, Eroo, Navsari, Gujarat-396450\nContact No. : 98751 62607\n\n(Indicate your choice by tick a (\u2713) mark):\n\nHighest-----------------------------------------------------------------Lowest\n\n
Attributes of ObservancePO54321
1Punctuality/ RegularityPO8\u2713
2Sincerity in LearningPO12\u2713
3Enthusiasm to use new technological toolsPO5\u2713
4Team Spirit: Relationship with Team MembersPO9\u2713
5Technical/Programming SkillsPO1\u2713
6Societal Impact of ProjectPO7\u2713
7InnovationPO1,PO5\u2713
8Knowledge of Algorithm OptimizationPO1,PO4\u2713
9Problem Solving AbilityPO2\u2713
10Project Management/Leadership Skills: Taking responsibilitiesPO11\u2713
11Communication SkillsPO10\u2713
12Implementing InstructionsPO3\u2713
13Achievement of DeadlinesPO11\u2713
14Follows Sustainable Development practices in day to day work and project workPO6\u2713
15Overall Performance, Behavior and AttitudePO8\u2713
\n\nPage 1 of 2", "predicted": "Department of Computer Science and Engineering\nFaculty of Technology & Engineering\nThe M. S. University of Baroda, Vadodara\nS.S BE IV CSE (         )\n\nINDUSTRY PROJECT EVALUATION FORM\n\nName of the Student : Raval Sumit Bharatbhai\nName of Project Guide : Sakhvala Prit Hasmukhbhai\nTitle / Designation : Jr. Salesforce Developer\nEmail of Project Guide : sakhvalaps@gmail.com\nAddress of the Organization : Dev Arcade, U3, Eru Char Rasta,\nVejalpore, Jalalpore, Eroo, Navsari,\nContact No. : 98751 62607         Gujarat-396450\n\n**(Indicate your choice by tick a ($\\sqrt{}$) mark):**\n\nHighest-----------------------------------------------------Lowest\n\n
Attributes of ObservancePO54321
1Punctuality/ RegularityPO8\u2713
2Sincerity in LearningPO12\u2713
3Enthusiasm to use new technological toolsPO5\u2713
4Team Spirit: Relationship with Team MembersPO9\u2713
5Technical/Programming SkillsPO1\u2713
6Societal Impact of ProjectPO7\u2713
7InnovationPO1,PO5\u2713
8Knowledge of Algorithm OptimizationPO1,PO4\u2713
9Problem Solving AbilityPO2\u2713
10Project Management/Leadership Skills: Taking responsibilitiesPO11\u2713
11Communication SkillsPO10\u2713
12Implementing InstructionsPO3\u2713
13Achievement of DeadlinesPO11\u2713
14Follows Sustainable Development practices in day to day work and project workPO6\u2713
15Overall Performance, Behavior and AttitudePO8\u2713
\n\nPage 1 of 2", "correct": false, "input_tokens": 1166, "output_tokens": 679, "elapsed_seconds": 8.282163582975045, "metadata": {"question": "Transcribe all text in this document exactly and completely, in reading order, preserving casing, punctuation, currency symbols, and codes. Use an HTML table only for genuinely tabular content, mirroring its rows, columns, and merged cells; write the HTML on single lines with no indentation or blank lines between tags, and collapse horizontal alignment to a single space.", "match_method": "similarity", "score": 0.9188, "attempts": 1, "retries": 0, "total_seconds": 8.2964}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 22, "image": "4f216ea0-af67-40e1-a226-2884e051db56_png.rf.b2fadeee17b3985c08325bec449bfd27.jpg", "expected": "NANAVATI\nMAX Super Speciality Hospital\n\n28/11/25\n\nTo\n\nWHOM SO EVER IT MAY CONCERNS\n\nMrs. Tanvi Mehta, 33/F, K/c/o CKD Stage 5 is planned for Live related kidney transplant on 2/12/2025. Post op patient is given immunosuppressants so require Isolation / Single room for infection prevention.\n\nSo kindly consider the same.\n\nFor Dr. Jalin Kotuan.\n\nDr. Balabhai Nanavati Hospital (Charitable) \nS.V. Road, Vile Parle (W), Mumbai - 400 056 \nTel.: +91-22-6134 7500 \nManaged by Max Hospitals and Allied services Limited\n\nwww.nanavatimaxhospital.org", "predicted": "NANAVATI\nMAX Super Speciality Hospital 28/11/25\nTo\nWHOM SO EVER IT MAY CONCERNS\nMrs. Tanvi Mehta, 33/F, K/c/o CKD Stage 5\nis planned for Live related kidney transplant\non 2/12/2025. Post op patient is given\nimmunosuppressants so require Isolation/\nSingle room for infection prevention.\nSo kindly consider the same.\nDR. BALABHAI NANAVATI HOSPITAL MUMBAI - 56\nFor Dr. Jatin Kothari.\nDr. Balabhai Nanavati Hospital (Charitable)\nS.V. Road, Vile Parle (W), Mumbai - 400 056\nTel.: +91-22-6134 7500\nManaged by Max Hospitals and Allied services Limited\nwww.nanavatimaxhospital.org\nNABH\nH-2015-0389\nDec 02, 18 - Dec 01, 21\nSince Dec 02, 2018", "correct": false, "input_tokens": 1140, "output_tokens": 250, "elapsed_seconds": 4.959760584053583, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.8117, "attempts": 1, "retries": 0, "total_seconds": 5.0149}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 23, "image": "058e2b7c-372e-4d28-8921-9686341124d1_png.rf.17dd3d796974c2aef56049a1e6edcee8.jpg", "expected": "Sir Ganga Ram Hospital\nSir Ganga Ram Hospital Marg, Rajinder Nagar,\nNew Delhi-110060, INDIA Tel : +91-11-4225 4000\n\nMedical Superintendent (Offg.)\nSir Ganga Ram Kolmet Hospital, 7-B, Pusa Road,\nNew Delhi-110005. Tel : +91-11-45099999, (D) 45099980\n\nDr. Raj Kamal Agarwal\nSr. Consultant\nDeptt. of Anaesthesiology\nPain & Peri Operative Medicine\nMobile : +91 98101 52201\nE-mail : kamalagarwal300@gmail.com\n\nTO WHOM IT MAY CONCERN\n\nAs per ICMR guideline, the contacts of COVID +ve cases should be put on HOME ISOLATION even with Mild Symptoms\n\nIt is advised that everybody takes these preventive medication apart from following SOCIAL DISTANCING, HAND HYGIENE & WEARING MASK\n\nRx\n\u2022 TAB HYDROXY CHLOROQUINE 400mg once a week\n\u2022 TAB VITAMIN C one gram once a day\n\u2022 TAB ZINC 50 mg once a day\n\nIn case of fever\n\n* \u2022 TAB CROCIN/CALPOL 650 mg SOS\n\nIn case of throat pain & cough\n\n* \u2022 TAB CETRIZINE 10mg once a day.\n\u2022 SYRUP ALEX 2/3 Tea spoon 3 times a day.\n\nDr. RAJ KAMAL AGARWAL\nMBBS, DA\nDMC No. 14517\nSENIOR CONSULTANT\nDEPTT. OF ANAESTHSIOLOGY\nPERIOPERATIVE MEDICINE & PAIN\nSIR GANGARAM HOSPITAL\nRAJINDER NAGAR, NEW DELHI-110060\nPh.9810152201\n\nResidence :\n181, Royalton Tower, Princeton Estate, DLF Phase-V, Gurugram, Haryana", "predicted": "Sir Ganga Ram Hospital Dr. Raj Kamal Agarwal\nSir Ganga Ram Hospital Marg, Rajinder Nagar, Sr. Consultant\nNew Delhi-110060, INDIA Tel : +91-11-4225 4000 Deptt. of Anaesthesiology\nMedical Superintendent (Offg.) Pain & Peri Operative Medicine\nSir Ganga Ram Kolmet Hospital, 7-B, Pusa Road, Mobile : +91 98101 52201\nNew Delhi-110005. Tel : +91-11-45099999, (D) 45099980 E-mail : kamalagarwal300@gmail.com\n\nTO WHOM IT MAY CONCERN\n\nAs per ICMR guideline, the contacts of\nCOVID +ve cases should be put on HOME\nISOLATION even with Mild symptoms\nIt is advised that everybody takes these\npreventive medication apart from following\nSOCIAL DISTANCING, HAND HYGIENE & WEARING\nMASK\nRx\n\u2022 TAB HYDROXYCHLOROQUINE 400mg once a week\n\u2022 TAB VITAMIN C one gram once a day\n\u2022 TAB ZINC 50mg once a day\nIn case of fever\n* \u2022 TAB CROCIN / CALPOL 650 mg SOS\nIn case of throat pain & cough\n* \u2022 TAB CETRIZINE 10mg once a day.\n\u2022 SYRUP ALEX 2/3 tea spoon 3 times a day.\n\nDR. RAJ KAMAL AGARWAL\nMBBS, DA\nDMC No 4537\n10-4-20 SENIOR CONSULTANT\nDEPTT. OF ANAESTHSIOLOGY\nPERIOPERATIVE MEDICINE & PAIN\nResidence : SIR GANGARAM HOSPITAL\n181, Royalton Tower, Princeton Estate, DLF Phase-V, Gurugram, Haryana-122001 RAJINDER NAGAR, NEW DELHI-110060\nPH 9810152201", "correct": false, "input_tokens": 1152, "output_tokens": 447, "elapsed_seconds": 9.371075292001478, "metadata": {"question": "Transcribe all handwritten and printed text exactly as written, reading top to bottom and left to right, and omit nothing; mark only genuinely unreadable words as [illegible]. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.6792, "attempts": 1, "retries": 0, "total_seconds": 9.4532}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 24, "image": "1b4e5426-d109-4398-8e45-ab1dc497980f_png.rf.bded2a0f08d8a00ca919034e8f04cf48.jpg", "expected": "Lesson \n1.1\n\nReading (Recognizing Uppercase and Lowercase Letters)\n\nActivity\n\nCircle the matching lowercase letter in each row. The first one has been completed.\n\n| | | | | |\n|---|---|---|---|---|\n| A | c | (a) | e | h |\n| B | v | n | (b) | l |\n| C | a | w | e | (c) |\n| D | (d) | l | t | i |\n| E | b | m | x | (e) |\n| F | e | o | (f) | p |\n| G | h | (g) | r | s |\n| H | v | a | (h) | r |\n| I | c | a | (i) | p |\n| J | t | y | o | (j) |\n| K | (k) | x | d | u |\n| L | o | (l) | a | t |\n| M | b | (m) | n | w |", "predicted": "Lesson 1.1\n\n# Reading (Recognizing Uppercase and Lowercase Letters)\n\n## Activity\n\n**Circle the matching lowercase letter in each row. The first one has been completed.**\n\n| | | | | |\n| :---: | :---: | :---: | :---: | :---: |\n| A | c | $\\textcircled{\\text{a}}$ | e | h |\n| B | v | n | $\\textcircled{\\text{b}}$ | l |\n| C | a | w | $\\textcircled{\\text{e}}$ | c |\n| D | $\\textcircled{\\text{d}}$ | l | t | i |\n| E | b | m | x | $\\textcircled{\\text{e}}$ |\n| F | e | o | $\\textcircled{\\text{f}}$ | p |\n| G | h | $\\textcircled{\\text{g}}$ | r | s |\n| H | v | a | $\\textcircled{\\text{h}}$ | r |\n| I | c | a | $\\textcircled{\\text{i}}$ | p |\n| J | t | y | o | $\\textcircled{\\text{j}}$ |\n| K | $\\textcircled{\\text{k}}$ | x | d | u |\n| L | o | $\\textcircled{\\text{l}}$ | a | t |\n| M | b | $\\textcircled{\\text{m}}$ | n | w |\n\nCabsera", "correct": false, "input_tokens": 1190, "output_tokens": 311, "elapsed_seconds": 5.358387624961324, "metadata": {"question": "Transcribe every piece of text in this image exactly as written, in reading order, preserving question and option numbering, and omit nothing. Write mathematical expressions in LaTeX and format the result as Markdown that mirrors the layout. Ignore the vertical text printed sideways along the page margin.", "match_method": "similarity", "score": 0.577, "attempts": 1, "retries": 0, "total_seconds": 5.3964}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 25, "image": "9e81338a-33bb-479d-939a-0df376f0a972_png.rf.917d36705351e18951147dc224677339.jpg", "expected": "yes exactly! a bit like i'm being manipulated in some creepy way. \"please like me, look how much i know about you, we are good friends\".", "predicted": "Andrej Karpathy @karpathy \u00b7 1\u5c0f\u65f6\nyes exactly! a bit like i'm being manipulated in some creepy way. \"please like me, look how much i know about you, we are good friends\".\n4 2 105 4,300", "correct": false, "input_tokens": 1184, "output_tokens": 64, "elapsed_seconds": 3.2494179169880226, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom, keeping each author's handle with their message, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the last (bottom-most) tweet authored by Andrej Karpathy (@karpathy).", "match_method": "similarity", "score": 0.7473, "attempts": 1, "retries": 0, "total_seconds": 3.2813}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 26, "image": "e6e06b1b-da53-41ac-bfdf-9316443ff037_png.rf.39688157a0a030c060170f7400170d30.jpg", "expected": "31/3/24 AI OCR Tools\n\nQuite unusually for me, this essay started its life as a scribble in a notebook rather than something I typed into a markdown editor. A few weeks ago Tiago Forte made a short video suggesting that people can use GPT4-V to capture their hand-written notes digitally. I've been looking for a \"smart\" OCR tool that can process my terribly scratchy, spidery hand writing for many years and none have quite cut the mustard. But, I thought, why not give it a go. To my absolute surprise, GPT did a phenomenal job of parsing my scrawlings and spitting out text. I was seriously impressed. Handwriting OCR has now gone from a fun toy and conversation piece to something I can actually, seriously use in my workflow. So then, is GPT via ChatGPT the best option I've got for this task or are there any FOSS tools and models that I could use instead?\n\nThe Closest option: CRAFT-TROCR\n\nI played with this a couple of years ago and it was reasonably good at certain content but only if I write in my very best hand writing all the time. And I don't do that because when I am taking notes in a meeting or something, I am thinking about the meeting, not my hand writing.\n\nHow does CRAFT-TROCR work? Are there any major differences? I'm guessing a big transformer model is able to maximise probability globally across the image + the generated text.\n\n68", "predicted": "31/3/24 AI OCR Tools\n\nQuite unusually for me, this essay started its life\nas a scribble in a notebook rather than something\nI typed into a markdown editor. A few weeks ago\nTiago Forte made a short video suggesting that\npeople can use GPT4-V to capture their hand-written\nnotes digitally. I've been looking for a \"smart\"\nOCR tool that can process my terribly scratchy,\nspidery hand writing for many years and none have\nquite cut the mustard. But, I thought, why not\ngive it a go. To my absolute surprise, GPT did\na phenomenal job of parsing my scrawlings and\nspitting out [illegible] text. I was seriously impressed.\nHandwriting OCR has now gone from a fun toy\nand conversation piece to something I can actually, seriously\nuse in my workflow. So then, is GPT via ChatGPT\nthe best option I've got for this task or are\n[illegible] there any FOSS tools and models that I could\nuse instead?\n\nThe Classic option: CRAFT-TROCR\n\nI played with this a couple of years ago and\nit was reasonably good at certain content but only\nif I write in my very best hand writing all the time.\nAnd I don't do that because when I am taking\nnotes in a meeting or something, I am thinking about\nthe meeting, not my hand writing.\n\nHow does CRAFT-TROCR work? Are there any major\ndifferences? I'm guessing a big transformer model\nis able to maximise probability globally across the\nimage + the generated text.\n\n68", "correct": true, "input_tokens": 1210, "output_tokens": 347, "elapsed_seconds": 5.230970124946907, "metadata": {"question": "Transcribe all handwritten and printed text exactly as written, reading top to bottom and left to right, and omit nothing; mark only genuinely unreadable words as [illegible]. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the text on the left page of the notebook, ignoring the partially visible right page.", "match_method": "similarity", "score": 0.9624, "attempts": 1, "retries": 0, "total_seconds": 5.2806}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 27, "image": "d1d7aaf7-169c-4847-866d-61bc0a6784b4_png.rf.47c7117d83bf6448f821dbc28e0e6255.jpg", "expected": "R\u00c9PUBLIQUE FRAN\u00c7AISE\nCARTE NATIONALE D'IDENTIT\u00c9 / IDENTITY CARD\n\nNOM / Surname \nMARTIN\n\nPr\u00e9noms / Given names \nMa\u00eblys Ga\u00eblle, Marie\n\nSEXE / Sex\nF\n\nNATIONALIT\u00c9 / Nationality\nFRA\n\nDATE DE NAISS. / Date of birth \n13 07 1990\n\nLIEU DE NAISSANCE / Place of birth \nPARIS\n\nNOM D'USAGE / Alternate name \nNOM D'USAGE\n\nN\u00b0 DU DOCUMENT / Document No. \nX4RTBPFW4\n\nDATE D'EXPIR. / Expiry date \n11 02 2030\n\nSignature\n\n384213", "predicted": "R\u00c9PUBLIQUE FRAN\u00c7AISE FR\nCARTE NATIONALE D'IDENTIT\u00c9 / IDENTITY CARD\nNOM / Surname\nMARTIN\nPr\u00e9noms / Given names\nMa\u00eblys-Ga\u00eblle, Marie\nSEXE / Sex NATIONALIT\u00c9 / Nationality DATE DE NAISS. / Date of birth\nF FRA 13 07 1990\nLIEU DE NAISSANCE / Place of birth\nPARIS\nNOM D'USAGE / Alternate name\nNOM D'USAGE\nN\u00b0 DU DOCUMENT / Document No. DATE D'EXPIR. / Expiry date\nX4RTBPFW4 11 02 2030\n384213", "correct": false, "input_tokens": 1179, "output_tokens": 149, "elapsed_seconds": 5.482991209020838, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the main identity document, reading top to bottom and left to right, and ignore the vertical text along the left edge, the signature graphic, and the faint background watermark.", "match_method": "similarity", "score": 0.8504, "attempts": 1, "retries": 0, "total_seconds": 5.5438}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 28, "image": "bcd74d99-f2d8-4005-aa54-2cc083e5a293_png.rf.1d000af6e7da39b4a95398db67f4bcbb.jpg", "expected": "4/16/26, 3:09 PM\n\nDocs\n\nGetting Started with Docker setup\n\nTo begin developing and deploying applications within this environment, you must have Docker Engine and the Docker Compose plugin installed. Follow the steps below to set up the environment on a Debian/Ubuntu-based system.\n\n1. Update the Package Index\n\nsudo apt update\n\nsudo apt install -y ca-certificates curl gnupg lsb-release\n\ncurl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --dearmor -o /etc/apt/keyrings/docker.gpg\n\nsudo chmod a+r /etc/apt/keyrings/docker.gpg\n\necho \\\n \"deb [arch=$(dpkg --print-architecture) signed-by=/etc/apt/keyrings/docker.gpg] https://download.docker.com/linux/ubuntu \\\n $(. /etc/os-release && echo \"$VERSION_CODENAME\") stable\" | \\\n sudo tee /etc/apt/sources.list.d/docker.list > /dev/null\n\nsudo apt update\n\nsudo apt install -y docker-ce docker-ce-cli containerd.io docker-buildx-plugin docker-compose-plugin", "predicted": "4/16/26, 3:09 PM Docs\n\nGetting Started with Docker setup\n\nTo begin developing and deploying applications within this environment, you must\nhave Docker Engine and the Docker Compose plugin installed. Follow the steps\nbelow to set up the environment on a Debian/Ubuntu-based system.\n\n 1. Update the Package Index\n\n sudo apt update\n\n sudo apt install -y ca-certificates curl gnupg lsb-release\n\n curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --\n dearmor -o /etc/apt/keyrings/docker.gpg\n\n sudo chmod a+r /etc/apt/keyrings/docker.gpg\n\n echo \\\n \"deb [arch=$(dpkg --print-architecture) signed-\n by=/etc/apt/keyrings/docker.gpg]\n https://download.docker.com/linux/ubuntu \\\n $(. /etc/os-release && echo \"$VERSION_CODENAME\") stable\" | \\\n sudo tee /etc/apt/sources.list.d/docker.list > /dev/null\n\n sudo apt update\n\n sudo apt install -y docker-ce docker-ce-cli containerd.io docker-\n buildx-plugin docker-compose-plugin", "correct": true, "input_tokens": 1161, "output_tokens": 269, "elapsed_seconds": 4.41706312505994, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9795, "attempts": 1, "retries": 0, "total_seconds": 4.4263}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 29, "image": "8aa12106-fbe5-4983-96bf-a1243a7c4020_png.rf.83832cdeaaf470d6954bbada16920ccd.jpg", "expected": "\"Jade City\"\nBaan 16 - 8256 AX\nBiddinghuizen\n\nT.Nr: L7\n\n
1 Gebraden magere spek met pikante saus a 19.50 (1 Nasi a EUR 1.00)EUR20.50
1 Chinese bami a la \"Jade City\" a 19.00EUR19.00
1 Babi pangang met pikante saus a 19.00 (1 Nasi a EUR 1.00)EUR20.00
1 Koe Loe Kai a 18.00 (1 Nasi a EUR 1.00)EUR19.00
1 Ossenhaas met oestersaus a 21.00EUR21.00
2 Dame blanche(ijs.choc.slagroom)EUR9.00
1 Cola a 3.25EUR3.25
2 Cola-max a 3.25EUR6.50
1 Sinas a 3.25EUR3.25
1 Seven-up a 3.25EUR3.25
2 ice thee met prik a 3.75EUR7.50
3 ijs a 4.00EUR12.00
\n\n============ +\nTotaal: EUR 144.25\n============\n\nBTW 9.0% EUR 11.91\n\nBedankt voor Uw bezoek\nRabobank NL29 0348178123\nKvk 39037611", "predicted": "\"Jade City\"
Baan 16 - 8256 AX
Biddinghuizen
T.Nr: L7
1Gebraden magere spek met
pikante saus a 19.50
(1 Nasi a EUR 1.00)		EUR20.50
1Chinese bami a la \"Jade
City\" a 19.00		EUR19.00
1Babi pangang met pikante
saus a 19.00
(1 Nasi a EUR 1.00)		EUR20.00
1Koe Loe Kai a 18.00
(1 Nasi a EUR 1.00)		EUR19.00
1Ossenhaas met oestersaus
a 21.00		EUR21.00
2Dame
blanche(ijs.choc.slagroom)		EUR9.00
1Cola a 3.25EUR3.25
2Cola-max a 3.25EUR6.50
1Sinas a 3.25EUR3.25
1Seven-up a 3.25EUR3.25
2ice thee met prik a 3.75EUR7.50
3ijs a 4.00EUR12.00
=========== +
Totaal: EUR144.25
===========

BTW 9.0% EUR 11.91
Bedankt voor Uw bezoek
Rabobank NL29 0348178123
Kvk 39037611", "correct": false, "input_tokens": 1204, "output_tokens": 551, "elapsed_seconds": 7.933591665932909, "metadata": {"question": "Transcribe all text in this document exactly and completely, in reading order, preserving casing, punctuation, currency symbols, and codes. Use an HTML table only for genuinely tabular content, mirroring its rows, columns, and merged cells; write the HTML on single lines with no indentation or blank lines between tags, and collapse horizontal alignment to a single space. Transcribe only the main receipt in the foreground, and ignore the upside-down, semi-transparent receipt behind it.", "match_method": "similarity", "score": 0.7638, "attempts": 1, "retries": 0, "total_seconds": 8.0016}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 30, "image": "11b83a24-c9b8-4d9a-b4db-b73d396719cd_png.rf.358e9a65b048e920c8eacbd7b7fb1df6.jpg", "expected": "Something tells me that if they released their chat/tool/hyper-param templates which they use on their cloud service, there'd be a lot more love and acceptance. Why anyone is still using a llama.cpp wrapper anymore is the better question and beyond me.", "predicted": "Eric @Ex0byt \u00b7 1\u5c0f\u65f6\nSomething tells me that if they released their chat/tool/hyper-param templates which they use on their cloud service, there\u2019d be a lot more love and acceptance. Why anyone is still using a llama.cpp wrapper anymore is the better question and beyond me.\n40", "correct": false, "input_tokens": 1199, "output_tokens": 71, "elapsed_seconds": 3.3189343330450356, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom, keeping each author's handle with their message, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the reply authored by Eric (@Ex0byt).", "match_method": "similarity", "score": 0.9161, "attempts": 1, "retries": 0, "total_seconds": 3.3502}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 31, "image": "fc6e5e8d-4b33-4a20-a63a-96c0205ae8f6_png.rf.6cdeb04c221a85b1895ded05acdbfa1b.jpg", "expected": "When recorded return to:\nSTRIBLING LAW FIRM PO\n101 E MCINTOSH ST\nMILLEDGEVILLE GA 3106\n\nDoc ID: 001029530008 Type: GLR\nRecorded: 10/21/2013 at 04:07:30 PM\nPage 1 of 8\nBaldwin, Ga. Clerk Superior Court\nRosemary Phillips Clerk of Courts\nBK 1150 PG 483-490\n\nFILED & RECORDED\nCLERK, SUPERIOR COURT\nBALDWIN COUNTY, GA\n2013 OCT 21 PM 4: 07\nBY\nROSEMARY PHILLIPS, CLERK\n\nDeed To Secure Debt\n(With Future Advance Clause)\n\n1. Date and Parties. The date of this Deed to Secure Debt (Security Instrument) is OCTOBER 21, 2013\n. The parties and their addresses are:\n\nGrantor: THE BRACK FAMILY LIMITED\nPARTNERSHIP\n891 S JEFFERSON STREET SE\nMILLEDGEVILLE GA 31061\n\n\u2610 If checked, refer to the attached Addendum incorporated herein, for additional Grantors, their signatures\nand acknowledgments.\n\nGrantee: CENTURY BANK AND TRUST\n(\"Lender\") 141 S WAYNE ST\nMILLEDGEVILLE, GA 31061-5708\n\n2. Conveyance. For good and valuable consideration, the receipt and sufficiency of which is acknowledged,\nand to secure the Secured Debt (defined below) and Grantor\u2019s performance under this Security Instrument,\nGrantor irrevocably grants, bargains, transfers, conveys and sells to Lender, with power of sale, the\nfollowing described property:\n*SEE EXHIBIT 'A' ATTACHED HERETO AND INCORPORATED HEREIN BY REFERENCE.\n\nThe property is located in BALDWIN at\n(County)\n101 KINGS RD , MILLEDGEVILLE , Georgia 31061-0000\n(Address) (City) (ZIP Code)\nTogether with all rights, easements, appurtenances, royalties, mineral rights, oil and gas rights, all water and\nriparian rights, ditches, and water stock and all existing and future improvements, structures, fixtures, and\nreplacements that may now, or at any time in the future, be part of the real estate described above (all\nreferred to as \"Property\").\n\n3. Maximum Obligation Limit. The total principal amount secured by this Security Instrument at any one time\nshall not exceed $ UNLIMITED . This limitation of amount does not include\ninterest and other fees and charges validly made pursuant to this Security Instrument. Also, this limitation\ndoes not apply to advances made under the terms of this Security Instrument to protect Lender\u2019s security and\nto perform any of the covenants contained in this Security Instrument.\n\nReal Estate Security Instrument-Consumer-GA\nVMP\u00ae Bankers Systems\u2122\nWolters Kluwer Financial Services \u00a9 1994, 2011\n\nRE-DSD-GA 1/24/2011\nVMPC231(GA) (1101).00\nPage 1 of 6\n\nBB R# 189300", "predicted": "When recorded return to:\nSTRIBLING LAW FIRM PC 2\n101 E MCINTOSH ST\nMILLEDGEVILLE GA 31061\n\nFILED & RECORDED\nCLERK, SUPERIOR COURT\nBALDWIN COUNTY, GA\n\nDoc ID: 001029530008 Type: GLR\nRecorded: 10/21/2013 at 04:07:30 PM 2013 OCT 21 PM 4: 07\nPage 1 of 8\nBaldwin, Ga. Clerk Superior Court\nRosemary Phillips Clerk of Courts BY Barbara Boyer\nBK 1150 PG 483-490 ROSEMARY PHILLIPS, CLERK\ndpy Clerk\n\n\nDeed To Secure Debt\n(With Future Advance Clause)\n\n\n1. Date and Parties. The date of this Deed to Secure Debt (Security Instrument) is OCTOBER 21, 2013\n . The parties and their addresses are:\n\n Grantor: THE BRACK FAMILY LIMITED\n PARTNERSHIP\n 891 S JEFFERSON STREET SE\n MILLEDGEVILLE GA 31061\n\n\n \u2610 If checked, refer to the attached Addendum incorporated herein, for additional Grantors, their signatures\n and acknowledgments.\n\n Grantee: CENTURY BANK AND TRUST\n (\"Lender\") 141 S WAYNE ST\n MILLEDGEVILLE, GA 31061-5708\n\n\n2. Conveyance. For good and valuable consideration, the receipt and sufficiency of which is acknowledged,\n and to secure the Secured Debt (defined below) and Grantor's performance under this Security Instrument,\n Grantor irrevocably grants, bargains, transfers, conveys and sells to Lender, with power of sale, the\n following described property:\n\n *SEE EXHIBIT 'A' ATTACHED HERETO AND INCORPORATED HEREIN BY REFERENCE.\n\n\n The property is located in BALDWIN at\n (County)\n 101 KINGS RD , MILLEDGEVILLE , Georgia 31061-0000\n (Address) (City) (ZIP Code)\n Together with all rights, easements, appurtenances, royalties, mineral rights, oil and gas rights, all water and\n riparian rights, ditches, and water stock and all existing and future improvements, structures, fixtures, and\n replacements that may now, or at any time in the future, be part of the real estate described above (all\n referred to as \"Property\").\n\n3. Maximum Obligation Limit. The total principal amount secured by this Security Instrument at any one time\n shall not exceed $ UNLIMITED . This limitation of amount does not include\n interest and other fees and charges validly made pursuant to this Security Instrument. Also, this limitation\n does not apply to advances made under the terms of this Security Instrument to protect Lender's security and\n to perform any of the covenants contained in this Security Instrument.\n\n\nReal Estate Security Instrument-Consumer-GA RE-DSD-GA 1/24/2011\nVMP\u00ae Bankers Systems\u2122 VMPC231(GA) (1101).00\nWolters Kluwer Financial Services \u00a9 1994, 2011 Page 1 of 6\n\nBB R# 189300", "correct": false, "input_tokens": 1168, "output_tokens": 699, "elapsed_seconds": 8.420647708931938, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.8764, "attempts": 1, "retries": 0, "total_seconds": 8.4482}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 32, "image": "c05c3288-ac14-47d6-8756-9ad484ae9696_png.rf.0ff67a7a39c5d5c7c9739988d851c032.jpg", "expected": "COST OF LIVING\n\nThe following figures are a general guide to essential monthly expenses for an expatriate executive living in Azerbaijan.\n\nMarried\nSingle couple with\nperson two children\n(US$) (US$)\n\nRent 800 3,000\nFood 300 1,200\nTransport 150 300\nUtilities 100 150\nEducation n. a. 1,000\nMiscellaneous 500 1,000\n\nTotal 1,850 6,650", "predicted": "COST OF LIVING\n\nThe following figures are a general guide to\nessential monthly expenses for an expatriate\nexecutive living in Azerbaijan.\n\nMarried\nSingle couple with\nperson two children\n(US$) (US$)\nRent 800 3,000\nFood 300 1,200\nTransport 150 300\nUtilities 100 150\nEducation n. a. 1,000\nMiscellaneous 500 1,000\nTotal 1,850 6,650", "correct": true, "input_tokens": 1164, "output_tokens": 129, "elapsed_seconds": 3.7022465839982033, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9878, "attempts": 1, "retries": 0, "total_seconds": 3.7398}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 33, "image": "5327a38f-11a2-45f2-9a38-e1375dfbeb43_png.rf.b6a2243d098302d780056ad980a16a9c.jpg", "expected": "Probabilistic two-stage detection\n\ncosts of the second stage. Our second stage makes full use of years of progress in two-stage detection (Cai & Vasconcelos, 2018; Chen et al., 2019a) and yields a significant increase in detection accuracy over one-stage baselines. It also easily scales to large-vocabulary detection.\n\nExperiments on COCO (Lin et al., 2014), LVIS (Gupta et al., 2019), and Objects365 (Shao et al., 2019) demonstrate that our probabilistic two-stage framework boosts the accuracy of a strong CascadeRCNN model by 1-3 mAP, while also improving its speed. Using a standard ResNeXt-101-DCN backbone with a CenterNet (Zhou et al., 2019a) first stage, our detector achieves 50.2 mAP on COCO test-dev. With a strong Res2Net-101-DCN-BiFPN (Gao et al., 2019a; Tan et al., 2020b) backbone and self-training (Zoph et al., 2020), it achieves 56.4 mAP with single-scale testing, outperforming all published results. Using a small DLA-BiFPN backbone and lower input resolution, we achieve 49.2 mAP on COCO at 33 fps on a Titan Xp, outperforming the popular YOLOv4 model (43.5 mAP at 33 fps) on the same hardware. Code and models are release at https://github.com/xingyizhou/CenterNet2.\n\n2. Related Work\n\nOne-stage detectors jointly predict an output class and location of objects densely throughout the image. RetinaNet (Lin et al., 2017b) classifies a set of predefined sliding anchor boxes and handles the foreground-background imbalance by reweighting losses for each output. FCOS (Tian et al., 2019) and CenterNet (Zhou et al., 2019a) eliminate the need of multiple anchors per pixel and classify foreground/background by location. ATSS (Zhang et al., 2020b) and PAA (Kim & Lee, 2020) further improve FCOS by changing the definition of foreground and background. GFL (Li et al., 2020b) and Autoassign (Zhu et al., 2020a) change the hard foreground-background assignment to a weighted soft assignment. AlignDet (Chen et al., 2019c) uses a deformable convolution layer before the output to gather richer features for classification and regression. RepPoint (Yang et al., 2019) and DenseRepPoint (Yang et al., 2020) encode bounding boxes as the outline of a set of points and use the features of the point set for classification. BorderDet (Qiu et al., 2020) pools features along the bounding box for better localization. Most one-stage detectors have a sound probabilistic interpretation.\n\nWhile one-stage detectors have achieved competitive performance (Zhang et al., 2020b; Kim & Lee, 2020; Zhang et al., 2019; Li et al., 2020b; Zhu et al., 2020a), they usually rely on heavier separate classification and regression branches than two-stage models. In fact, they are no longer faster than their two-stage counterparts if the vocabulary (i.e., the set of object classes) is large (as in the LVIS or Objects365 datasets). Also, one-stage detectors only use the local features of the positive cell for regression and classification, which is sometimes misaligned with the object (Chen et al., 2019c; Song et al., 2020).\n\nOur probabilistic two-stage framework retains the probabilistic interpretation of one-stage detectors, but factorizes the probability distribution over multiple stages, improving both accuracy and speed.\n\nTwo-stage detectors first use a region proposal network (RPN) to generate coarse object proposals, and then use a dedicated per-region head to classify and refine them. Faster-RCNN (Ren et al., 2015; He et al., 2017) uses two fully-connected layers as the RoI heads. CascadeRCNN (Cai & Vasconcelos, 2018) uses three cascaded stages of Faster-RCNN, each with a different positive threshold so that the later stages focus more on localization accuracy. HTC (Chen et al., 2019a) utilizes additional instance and semantic segmentation annotations to enhance the inter-stage feature flow of CascadeRCNN. TSD (Song et al., 2020) decouples the classification and localization branches for each RoI.\n\nTwo-stage detectors are still more accurate in many settings (Gupta et al., 2019; Sun et al., 2020; Kuznetsova et al., 2018). Currently, all two-stage detectors use a relatively weak RPN that maximizes the recall of the top 1K proposals, and does not utilize the proposal score at test time. The large number of proposals slows the system down, and the recall-based proposal network does not directly offer the same clear probabilistic interpretation as one-stage detectors. Our framework addresses this, and integrates a strong class-agnostic single-stage object detector with later classification stages. Our first stage uses fewer, but higher quality, regions, yielding both faster inference and higher accuracy.\n\nOther detectors. A family of object detectors identify objects via points in the image. CornerNet (Law & Deng, 2018) detects the top-left and bottom-right corners and groups them using an embedding feature. ExtremeNet (Zhou et al., 2019b) detects four extreme points and groups them using an additional center point. Duan et al. (2019) detect the center point and use it to improve corner grouping. Corner Proposal Net (Duan et al., 2020) uses pairwise corner groupings as region proposals. CenterNet (Zhou et al., 2019a) detects the center point and regresses the bounding box parameters from it.\n\nDETR (Carion et al., 2020) and Deformable DETR (Zhu et al., 2020c) remove the dense output in a detector, and instead use a Transformer (Vaswani et al., 2017) that directly predicts a set of bounding boxes.\n\nThe major difference between point-based detectors, DETR, and conventional detectors lies in the network architecture. Point-based detectors use a fully-convolutional network (Newell et al., 2016; Yu et al., 2018), usually with symmetric downsampling and upsampling layers, and pro-", "predicted": "Probabilistic two-stage detection\n\ncosts of the second stage. Our second stage makes full use\nof years of progress in two-stage detection (Cai & Vascon-\ncelos, 2018; Chen et al., 2019a) and yields a significant\nincrease in detection accuracy over one-stage baselines. It\nalso easily scales to large-vocabulary detection.\n Experiments on COCO (Lin et al., 2014), LVIS (Gupta\net al., 2019), and Objects365 (Shao et al., 2019) demon-\nstrate that our probabilistic two-stage framework boosts the\naccuracy of a strong CascadeRCNN model by 1-3 mAP,\nwhile also improving its speed. Using a standard ResNeXt-\n101-DCN backbone with a CenterNet (Zhou et al., 2019a)\nfirst stage, our detector achieves 50.2 mAP on COCO test-\ndev. With a strong Res2Net-101-DCN-BiFPN (Gao et al.,\n2019a; Tan et al., 2020b) backbone and self-training (Zoph\net al., 2020), it achieves 56.4 mAP with single-scale testing,\noutperforming all published results. Using a small DLA-\nBiFPN backbone and lower input resolution, we achieve\n49.2 mAP on COCO at 33 fps on a Titan Xp, outperforming\nthe popular YOLOv4 model (43.5 mAP at 33 fps) on the\nsame hardware. Code and models are release at https:\n//github.com/xingyizhou/CenterNet2.\n\n2. Related Work\n\nOne-stage detectors jointly predict an output class and\nlocation of objects densely throughout the image. Reti-\nnaNet (Lin et al., 2017b) classifies a set of predefined sliding\nanchor boxes and handles the foreground-background im-\nbalance by reweighting losses for each output. FCOS (Tian\net al., 2019) and CenterNet (Zhou et al., 2019a) elimi-\nnate the need of multiple anchors per pixel and classify\nforeground/background by location. ATSS (Zhang et al.,\n2020b) and PAA (Kim & Lee, 2020) further improve FCOS\nby changing the definition of foreground and background.\nGFL (Li et al., 2020b) and Autoassign (Zhu et al., 2020a)\nchange the hard foreground-background assignment to a\nweighted soft assignment. AlignDet (Chen et al., 2019c)\nuses a deformable convolution layer before the output to\ngather richer features for classification and regression. Rep-\nPoint (Yang et al., 2019) and DenseRepPoint (Yang et al.,\n2020) encode bounding boxes as the outline of a set of\npoints and use the features of the point set for classification.\nBorderDet (Qiu et al., 2020) pools features along the bound-\ning box for better localization. Most one-stage detectors\nhave a sound probabilistic interpretation.\n While one-stage detectors have achieved competitive perfor-\nmance (Zhang et al., 2020b; Kim & Lee, 2020; Zhang et al.,\n2019; Li et al., 2020b; Zhu et al., 2020a), they usually rely\non heavier separate classification and regression branches\nthan two-stage models. In fact, they are no longer faster\nthan their two-stage counterparts if the vocabulary (i.e., the\nset of object classes) is large (as in the LVIS or Objects365\ndatasets). Also, one-stage detectors only use the local fea-\nture of the positive cell for regression and classification,\nwhich is sometimes misaligned with the object (Chen et al.,\n2019c; Song et al., 2020).\n Our probabilistic two-stage framework retains the proba-\nbilistic interpretation of one-stage detectors, but factorizes\nthe probability distribution over multiple stages, improving\nboth accuracy and speed.\nTwo-stage detectors first use a region proposal network\n(RPN) to generate coarse object proposals, and then use a\ndedicated per-region head to classify and refine them. Faster-\nRCNN (Ren et al., 2015; He et al., 2017) uses two fully-\nconnected layers as the RoI heads. CascadeRCNN (Cai &\nVasconcelos, 2018) uses three cascaded stages of Faster-\nRCNN, each with a different positive threshold so that the\nlater stages focus more on localization accuracy. HTC (Chen\net al., 2019a) utilizes additional instance and semantic seg-\nmentation annotations to enhance the inter-stage feature\nflow of CascadeRCNN. TSD (Song et al., 2020) decouples\nthe classification and localization branches for each RoI.\n Two-stage detectors are still more accurate in many set-\ntings (Gupta et al., 2019; Sun et al., 2020; Kuznetsova et al.,\n2018). Currently, all two-stage detectors use a relatively\nweak RPN that maximizes the recall of the top 1K propos-\nals, and does not utilize the proposal score at test time. The\nlarge number of proposals slows the system down, and the\nrecall-based proposal network does not directly offer the\nsame clear probabilistic interpretation as one-stage detec-\ntors. Our framework addresses this, and integrates a strong\nclass-agnostic single-stage object detector with later classi-\nfication stages. Our first stage uses fewer, but higher quality,\nregions, yielding both faster inference and higher accuracy.\nOther detectors. A family of object detectors iden-\ntify objects via points in the image. CornerNet (Law\n& Deng, 2018) detects the top-left and bottom-right cor-\nners and groups them using an embedding feature. Ex-\ntremeNet (Zhou et al., 2019b) detects four extreme points\nand groups them using an additional center point. Duan\net al. (2019) detect the center point and use it to improve\ncorner grouping. Corner Proposal Net (Duan et al., 2020)\nuses pairwise corner groupings as region proposals. Cen-\nterNet (Zhou et al., 2019a) detects the center point and\nregresses the bounding box parameters from it.\n DETR (Carion et al., 2020) and Deformable DETR (Zhu\net al., 2020c) remove the dense output in a detector, and\ninstead use a Transformer (Vaswani et al., 2017) that directly\npredicts a set of bounding boxes.\n The major difference between point-based detectors, DETR,\nand conventional detectors lies in the network architec-\nture. Point-based detectors use a fully-convolutional net-\nwork (Newell et al., 2016; Yu et al., 2018), usually with\nsymmetric downsampling and upsampling layers, and pro-", "correct": true, "input_tokens": 1156, "output_tokens": 1621, "elapsed_seconds": 17.466998041956685, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9791, "attempts": 1, "retries": 0, "total_seconds": 17.5051}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 34, "image": "f3701711-56c0-4e6d-94ad-edbe5931b13c_png.rf.0dfe995026d12d57bfa8621b501a51c9.jpg", "expected": "Table.10 Nutrient availability after harvesting of pigeon pea (pooled data of 3 years).\n\n
Tr.TreatmentsAvailable NAvailable PAvailable KDTPA-FeDTPA-ZnDTPA-CuDTPA-Mn
Kg ha-1mgkg-1
T1Absolute control (No Fertilizers)144.536.11535.003.350.411.114.60
T2RDF only (25:50:00 NPK/ha)147.517.21539.673.390.431.134.69
T3RDF+ 25 Kg K2O/ha148.427.57558.933.520.441.154.79
T4RDF+ 50 Kg K2O/ha154.517.71560.003.520.441.224.81
T5RDF+ 25 Kg K2O/ha+ Grade I micronutrient (soil application)154.697.59562.003.580.561.325.79
T6RDF+ 50Kg K2O/ha + Grade I micronutrient (soil application)157.918.16596.003.830.581.346.11
T7RDF+ 25 Kg K2O/ha + Grade II micronutrient (0.5 % foliar spray)155.407.90592.003.590.451.265.53
T8RDF+ 50 Kg K2O/ha + Grade II micronutrient (0.5 % foliar spray)157.058.12595.003.710.451.315.70
T9RDF+ 25 Kg K2O/ha + 2 % KNO3(foliar spray)148.677.60558.003.530.421.155.51
T10RDF+ 50 Kg K2O/ha + 2 % KNO3(foliar spray)152.517.77592.673.450.431.235.54
SEm (\u00b1)1.900.4111.300.020.020.010.32
CD at 5 %5.631.2733.540.060.030.97
Grand mean152.127.57568.933.540.081.225.31
\n\n13", "predicted": "**Table.10** Nutrient availability after harvesting of pigeon pea (pooled data of 3 years).\n\n
Tr.TreatmentsAvailable
N		Available
P		Available
K		DTPA-
Fe		DTPA-
Zn		DTPA-
Cu		DTPA-
Mn
Kg ha-1mgkg-1
T1Absolute control (No Fertilizers)144.536.11535.003.350.411.114.60
T2RDF only (25:50:00 NPK/ha)147.517.21539.673.390.431.134.69
T3RDF+ 25 Kg K2O/ha148.427.57558.933.520.441.154.79
T4RDF+ 50 Kg K2O/ha154.517.71560.003.520.441.224.81
T5RDF+ 25 Kg K2O/ha+ Grade I micronutrient (soil
application)		154.697.59562.003.580.561.325.79
T6RDF+ 50Kg K2O/ha + Grade I micronutrient (soil
application)		157.918.16596.003.830.581.346.11
T7RDF+ 25 Kg K2O/ha + Grade II micronutrient (0.5 %
foliar spray)		155.407.90592.003.590.451.265.53
T8RDF+ 50 Kg K2O/ha + Grade II micronutrient (0.5 %
foliar spray)		157.058.12595.003.710.451.315.70
T9RDF+ 25 Kg K2O/ha + 2 % KNO3(foliar spray)148.677.60558.003.530.421.155.51
T10RDF+ 50 Kg K2O/ha + 2 % KNO3(foliar spray)152.517.77592.673.450.431.235.54
SEm (\u00b1)1.900.4111.300.020.020.010.32
CD at 5 %5.631.2733.540.060.030.97
Grand mean152.127.57568.933.540.081.225.31
\n\n13", "correct": false, "input_tokens": 1194, "output_tokens": 1086, "elapsed_seconds": 10.828197291004471, "metadata": {"question": "Transcribe all text in this document exactly and completely, in reading order, preserving casing, punctuation, currency symbols, and codes. Use an HTML table only for genuinely tabular content, mirroring its rows, columns, and merged cells; write the HTML on single lines with no indentation or blank lines between tags, and collapse horizontal alignment to a single space.", "match_method": "similarity", "score": 0.9261, "attempts": 1, "retries": 0, "total_seconds": 10.861}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 35, "image": "c81c96a7-296d-4050-827a-f89309f7a523_png.rf.28cfadfc50dc15c7a43434f17af3489f.jpg", "expected": "will i am \nPlumbing & Heating\n\nBusiness Address \n24 Godwin House \nLondon, E2 8PH\n\n07851 499 470\n\n020 7 686 8226\n\ninfo@will-i-am-pnh.co.uk\n\nInvoice to: \nOrkun Acikgoz \nFlat 3 Pedlers Apartments, 1C Hewison \nStreet E3 2HZ\n\nInvoice No: 17065 \nDate: 12th May 2025\n\nRef: Flat 3 Pedlers Apartments, 1C Hewison \nStreet E3 2HZ\n\n
DESCRIPTIONQTYUNIT PRICETOTAL PRICE
Carried out an investigation, fault diagnosis and attempt to repair a leak going downstairs after the shower was used on 12/05/25 (2 hours on site - please refer to email for a report)2\u00a3100.00\u00a3200.00
Materials - x1 white silicone, x1 PTFE1\u00a310.78\u00a310.78
\n\n
SUBTOTAL:\u00a3210.78
20.0% S:\u00a342.16
TOTAL:\u00a3252.94
PAID:\u00a30.00
BALANCE DUE:\u00a3252.94
\n\nBank details as follows: \nBANK \u2013 HSBC \nwill i am Plumbing & Heating Limited \nSORT CODE \u2013 40-01-18 \nACCOUNT NO. - 41837478\n\n\u00a3252.94 due on 12th May 2025\n\nThank You", "predicted": "will i am\nPlumbing & Heating\n\nBusiness Address\n24 Godwin House\nLondon, E2 8PH\n\n07851 499 470\n\n020 7 686 8226\n\ninfo@will-i-am-pnh.co.uk\n\nInvoice to:\nOrkun Acikgoz\nFlat 3 Pedlers Apartments, 1C Hewison\nStreet E3 2HZ\n\nInvoice No: 17065\nDate: 12th May 2025\n\nRef: Flat 3 Pedlers Apartments, 1C Hewison\nStreet E3 2HZ\n\n
DESCRIPTIONQTYUNIT PRICETOTAL
PRICE
Carried out an investigation, fault diagnosis and attempt to repair a
leak going downstairs after the shower was used on 12/05/25 (2
hours on site - please refer to email for a report)		2\u00a3100.00\u00a3200.00
Materials - x1 white silicone, x1 PTFE1\u00a310.78\u00a310.78
\n\nSUBTOTAL: \u00a3210.78\n20.0% S: \u00a342.16\nTOTAL: \u00a3252.94\nPAID: \u00a30.00\nBALANCE DUE: \u00a3252.94\n\nBank details as follows:\nBANK \u2013 HSBC\nwill i am Plumbing & Heating Limited\nSORT CODE \u2013 40-01-18\nACCOUNT NO. - 41837478\n\n\u00a3252.94 due on 12th May 2025\n\nThank You", "correct": false, "input_tokens": 1194, "output_tokens": 404, "elapsed_seconds": 6.371450667036697, "metadata": {"question": "Transcribe all text in this document exactly and completely, in reading order, preserving casing, punctuation, currency symbols, and codes. Use an HTML table only for genuinely tabular content, mirroring its rows, columns, and merged cells; write the HTML on single lines with no indentation or blank lines between tags, and collapse horizontal alignment to a single space.", "match_method": "similarity", "score": 0.8373, "attempts": 1, "retries": 0, "total_seconds": 6.3961}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223715", "index": 36, "image": "b883e11d-433f-4c18-b0a5-11a0599a241b_png.rf.1efeebf4c96c16074b4f57edde37de47.jpg", "expected": "AUTORES\n\n01- ANA LUIZA BAPTISTA\n02- ANA MARA ALVES DE FREITAS\n03- AMANDA MACHADO AGUIAR\n04- ANDREA NICOLAU PASCHOAL\n05- CARLOS EDUARDO PEREIRA DE MELLO\n06- CRISTIANE HONDA\n07- DANIEL DELAZERI DE FARIA\n08- DIEGO VIEIRA DE SOUZA\n09- ILAN AKISABURO KIMURA\n10- MARIANA BOTELHO MENEGATTI\n11- MARINA PEINADO BERBERIAN\n12- MICHAEL MENDES\n13- RAFAEL DONIZETI SOUZA DE TOLEDO\n14- RAFAEL PADILLA\n15- RAFAEL SCHULIEN\n16- RENATA QUISSAK BARTELEGA PEIXOTO\n17- SILVIA RIBEIRO BROTTO\n18- THAIS NAGOSHI SUZUKI", "predicted": "AUTORES\n01- ANA LUIZA BAPTISTA\n02- ANA MARA ALVES DE FREITAS\n03- AMANDA MACHADO AGUIAR\n04- ANDREA NICOLAU PASCHOAL\n05- CARLOS EDUARDO PEREIRA DE MELLO\n06- CRISTIANE HONDA\n07- DANIEL DELAZERI DE FARIA\n08- DIEGO VIEIRA DE SOUZA\n09- ILAN AKISABURO KIMURA\n10- MARIANA BOTELHO MENEGATTI\n11- MARINA PEINADO BERBERIAN\n12- MICHAEL MENDES\n13- RAFAEL DONIZETI SOUZA DE TOLEDO\n14- RAFAEL PADILLA\n15- RAFAEL SCHULIEN\n16- RENATA QUISSAK BARTELEGA PEIXOTO\n17- SILVIA RIBEIRO BROTTO\n18- THAIS NAGOSHI SUZUKI", "correct": true, "input_tokens": 1176, "output_tokens": 214, "elapsed_seconds": 10.335622499929741, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.998, "attempts": 1, "retries": 0, "total_seconds": 10.4299}} diff --git a/results/ocr_gemini-4-argon_low_20261012_223717.jsonl b/results/ocr_gemini-4-argon_low_20261012_223717.jsonl new file mode 100644 index 0000000..bc1a234 --- /dev/null +++ b/results/ocr_gemini-4-argon_low_20261012_223717.jsonl @@ -0,0 +1,37 @@ +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 0, "image": "4f770728-7b1f-4bf3-b877-e3d33fcc135d_png.rf.dffcaaeb26fd7fe4fd14891cb00a0adf.jpg", "expected": "100 Good Cookies\n1 cup white sugar 1 teaspoon baking soda\n1 cup brown sugar 1 cup quick oatmeal\n1 cup margarine 1 cup coconut\n1 cup cooking oil 1 cup Rice Krispies\n1 egg 1 cup chopped walnuts\n1 teaspoon vanilla 3\u00bd cups flour\n1 teaspoon cream of tartar 1-12oz. package mini\nchocolate chips\nMix in order given. Drop by teaspoonful onto cookie sheet. Bake at 350\u00b0 for 8-10 minutes.\n(over)", "predicted": "100 Good Cookies\n1 cup white sugar 1 teaspoon baking soda\n1 cup brown sugar 1 cup quick oatmeal\n1 cup margarine 1 cup coconut\n1 cup cooking oil 1 cup Rice Krispies\n1 egg 1 cup chopped walnuts\n1 teaspoon vanilla 3 \u00bd cups flour\n1 teaspoon cream of tartar 1 - 12oz. package mini\n chocolate chips\nMix in order given. Drop by teaspoonful onto\ncookie sheet. Bake at 350\u00b0 for 8-10 minutes.\n (over)", "correct": true, "input_tokens": 1163, "output_tokens": 118, "elapsed_seconds": 3.8259220420150086, "metadata": {"question": "Transcribe all handwritten and printed text exactly as written, reading top to bottom and left to right, and omit nothing; mark only genuinely unreadable words as [illegible]. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9846, "attempts": 1, "retries": 0, "total_seconds": 3.8537}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 1, "image": "0de03edc-15c5-4782-a74b-7cedb1df477b_png.rf.357da74f0ffbbb05467a6069097f2740.jpg", "expected": "(1) 8 + 7 = 15 (9) 17 - 9 = 8\n(2) 15 - 6 = 9 (10) 7 + 9 = 16\n(3) 9 + 4 = 13 (11) 14 - 8 = 6\n(4) 13 - 5 = 8 (12) 5 + 6 = 11\n(5) 6 + 8 = 14 (13) 16 - 7 = 9\n(6) 5 + 9 = 14 (14) 3 + 7 = 10", "predicted": "(1) 8 + 7 = 15 (9) 17 - 9 = 8\n(2) 15 - 6 = 9 (10) 7 + 9 = 16\n(3) 9 + 4 = 13 (11) 14 - 8 = 6\n(4) 13 - 5 = 8 (12) 5 + 6 = 11\n(5) 6 + 8 = 14 (13) 16 - 7 = 9\n(6) 5 + 9 = 14 (14) 3 + 7 = 10", "correct": true, "input_tokens": 1178, "output_tokens": 158, "elapsed_seconds": 3.499307959107682, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 1.0, "attempts": 1, "retries": 0, "total_seconds": 3.5142}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 2, "image": "861cb64d-800a-4635-999c-739199f8b473_png.rf.2dfcae9315498e5af9851962b9b1b65d.jpg", "expected": "2516 Country Club Rd.\nWinston Salem NC 27104\nJuly 17, 1981\n\nDr T S Osdene\nDirector of Research and Scientific Affairs\nPHILIP MORRIS USA\nResearch Center\nP.O Box 26583\nRichmond VA 23261\n\nDear Tom \u2014\n\nRe MDA NO/NOx Field Kit\n\nMDA requires prepayment before shipment\nof materials to private individuals. Accordingly\nI mailed check for $2505.00 for Kit yesterday.\nCopies for verification are enclosed. I presume\nthis will suffice to reimburse me.\n\nAs soon as MDA receives check, presumably\nJuly 20, Kit will be shipped to me by UPS and\nI will immediately trans ship by UPS to\nyou.\n\nCongrats on the birth of your son. Best wishes\nto Mrs Osdene and you.\n\n\u03a6000018736\n\nSincerely\nMurray", "predicted": "2516 Country Club Rd.\nWinston Salem NC 27104\nJuly 17, 1981\n\nDr T S Osdene\nDirector of Research and Scientific Affairs\nPHILIP MORRIS USA\nResearch Center\nP.O. Box 26583\nRichmond VA 23261\n\nDear Tom -\n\nRe MDA NO/NOx Field Kit\n\nMDA requires prepayment before shipment\nof materials to private individuals. Accordingly\nI mailed check for $2505.00 for kit yesterday.\nCopies for verification are enclosed. I presume\nthis will suffice to reimburse me.\n\nAs soon as MDA receives check, presumably\nJuly 20, kit will be shipped to me by UPS and\nI will immediately trans ship by UPS to\nyou.\n\nCongrats on the birth of your son. Best wishes\nto Mrs Osdene and you.\n\n1000018736\n\nSincerely\nMurray", "correct": true, "input_tokens": 1161, "output_tokens": 208, "elapsed_seconds": 4.563961375039071, "metadata": {"question": "Transcribe all handwritten and printed text exactly as written, reading top to bottom and left to right, and omit nothing; mark only genuinely unreadable words as [illegible]. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9926, "attempts": 1, "retries": 0, "total_seconds": 4.5813}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 3, "image": "bfe2208e-9dcb-4273-9781-be20d0ae766a_png.rf.2506b1cf22374cc1de2823bf766ef968.jpg", "expected": "Ent 103326 Bk 331 Pg 470\nDate: 20-JUN-2006 2:28PM\nORDINANCE NO. CO-06-5 Fee: None\nFiled By: AKT\nBRENDA NELSON, Recorder\nMORGAN COUNTY\nAN ORDINANCE ADOPTING THE STATE WILDLIFE RESOURCES CODE\nFOR MORGAN COUNTY.\n\nWHEREAS, the Morgan County Sheriff's Office is charged with the enforcement of\nregulations and laws relating to wildlife resources within Morgan County; and\n\nWHEREAS, in the course of the Sheriff's enforcement duties it is often necessary to cite\nindividuals for violations of the various state rules regulating wildlife resources; and\n\nWHEREAS, Morgan County would like to cite violators for county ordinance violations\nrather than state code violations since violators are processed by county enforcement officers,\nprosecuted in county courts by county prosecutors, and incarcerated, if necessary, in county jails;\n\nNOW THEREFOR, the County Council of Morgan County, State of Utah, hereby\nordains as follows:\n\nWILDLIFE RESOURCES ORDINANCE\n\nSection 1. Adoption of the Utah wildlife resources Code, Rules and Regulations\n\nThe Rules and Regulations contained in Utah Code Annotated Title 23, as amended, and the\nRules promulgated thereunder, are hereby adopted as the wildlife resources Code, Rules and\nRegulations of Morgan County. Any provisions of Title 23 providing a penalty greater than a\nClass B misdemeanor, or not relating to criminal or administrative sanctions, are not incorporated\nas part of this ordinance.\n\nSection 2. Amendments\n\nIn order to assure continuing uniformity between the Utah wildlife resources Rules and\nRegulations and the Morgan County wildlife resources Rules and Regulations, this Ordinance\nwill include any and all periodic amendments to the State Rules and Regulations, Title 23, after\nthe effective date of this title, made by the Utah State Legislature or by the Utah Department of\nNatural Resources.\n\nSection 3. Effective Date\n\nThis ordinance shall take effect 15 days after passage, after required publication and after a copy\nof the ordinance is deposited with the Morgan County Clerk's Office.\n\nAPPROVED, ADOPTED, AND PASSED and ordered published by the Morgan County\nCouncil, this 6th day of June, 2006.", "predicted": "Ent 103326 Bk 231 Pg 470\nDate: 20-JUN-2006 2:28PM\nFee: None\nFiled By: AKT\nBRENDA NELSON, Recorder\nMORGAN COUNTY\nFor: MORGAN COUNTY\n\nORDINANCE NO. CO-06-05\n\nAN ORDINANCE ADOPTING THE STATE WILDLIFE RESOURCES CODE\nFOR MORGAN COUNTY.\n\n WHEREAS, the Morgan County Sheriff's Office is charged with the enforcement of\nregulations and laws relating to wildlife resources within Morgan County; and\n\n WHEREAS, in the course of the Sheriff's enforcement duties it is often necessary to cite\nindividuals for violations of the various state rules regulating wildlife resources; and\n\n WHEREAS, Morgan County would like to cite violators for county ordinance violations\nrather than state code violations since violators are processed by county enforcement officers,\nprosecuted in county courts by county prosecutors, and incarcerated, if necessary, in county jails;\n\n NOW THEREFOR, the County Council of Morgan County, State of Utah, hereby\nordains as follows:\n\nWILDLIFE RESOURCES ORDINANCE\n\nSection 1. Adoption of the Utah wildlife resources Code, Rules and Regulations\n\nThe Rules and Regulations contained in Utah Code Annotated Title 23, as amended, and the\nRules promulgated thereunder, are hereby adopted as the wildlife resources Code, Rules and\nRegulations of Morgan County. Any provisions of Title 23 providing a penalty greater than a\nClass B misdemeanor, or not relating to criminal or administrative sanctions, are not incorporated\nas part of this ordinance.\n\nSection 2. Amendments\n\nIn order to assure continuing uniformity between the Utah wildlife resources Rules and\nRegulations and the Morgan County wildlife resources Rules and Regulations, this Ordinance\nwill include any and all periodic amendments to the State Rules and Regulations, Title 23, after\nthe effective date of this title, made by the Utah State Legislature or by the Utah Department of\nNatural Resources.\n\nSection 3. Effective Date\n\nThis ordinance shall take effect 15 days after passage, after required publication and after a copy\nof the ordinance is deposited with the Morgan County Clerk's Office.\n\n APPROVED, ADOPTED, AND PASSED and ordered published by the Morgan County\nCouncil, this 6th day of June , 2006.", "correct": true, "input_tokens": 1168, "output_tokens": 483, "elapsed_seconds": 5.673789583961479, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9665, "attempts": 1, "retries": 0, "total_seconds": 5.705}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 4, "image": "d6b410b8-2381-4e65-8113-2dbcca295990_png.rf.794671b291d105d363ebd6d8d93b3fc8.jpg", "expected": "THIS SENTENCE WAS WRITTEN BY SOMEONE WITH DYSGRAPHIA", "predicted": "[model returned no content]", "correct": false, "input_tokens": 1181, "output_tokens": 18, "elapsed_seconds": 2.8364261660026386, "metadata": {"question": "Transcribe all handwritten and printed text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.0577, "attempts": 1, "retries": 0, "total_seconds": 2.849}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 5, "image": "9c225ac4-3b44-42cf-a0dc-4a3984c5bac9_png.rf.1455a695dcdb15839a0deb51bf270c04.jpg", "expected": "When I built menugen ~1 year ago, I observed that the hardest part by far was not the code itself, it was the plethora of services you have to assemble like IKEA furniture to make it real, the DevOps: services, payments, auth, database, security, domain names, etc...\n\nI am really looking forward to a day where I could simply tell my agent: \"build menugen\" (referencing the post) and it would just work. The whole thing up to the deployed web page. The agent would have to browse a number of services, read the docs, get all the api keys, make everything work, debug it in dev, and deploy to prod. This is the actually hard part, not the code itself. Or rather, the better way to think about it is that the entire DevOps lifecycle has to become code, in addition to the necessary sensors/actuators of the CLIs/APIs with agent-native ergonomics. And there should be no need to visit web pages, click buttons, or anything like that for the human.\n\nIt's easy to state, it's now just barely technically possible and expected to work maybe, but it definitely requires from-scratch re-design, work and thought. Very exciting direction!", "predicted": "Andrej Karpathy\n@karpathy\n\nWhen I built menugen ~1 year ago, I observed that the hardest part by far was not the code itself, it was the plethora of services you have to assemble like IKEA furniture to make it real, the DevOps: services, payments, auth, database, security, domain names, etc...\n\nI am really looking forward to a day where I could simply tell my agent: \"build menugen\" (referencing the post) and it would just work. The whole thing up to the deployed web page. The agent would have to browse a number of services, read the docs, get all the api keys, make everything work, debug it in dev, and deploy to prod. This is the actually hard part, not the code itself. Or rather, the better way to think about it is that the entire DevOps lifecycle has to become code, in addition to the necessary sensors/actuators of the CLIs/APIs with agent-native ergonomics. And there should be no need to visit web pages, click buttons, or anything like that for the human.\n\nIt's easy to state, it's now just barely technically possible and expected to work maybe, but it definitely requires from-scratch re-design, work and thought. Very exciting direction!\n\u7ffb\u8bd1\u5e16\u5b50", "correct": true, "input_tokens": 1173, "output_tokens": 274, "elapsed_seconds": 4.6582468749256805, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom, keeping each author's handle with their message, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the top-level tweet authored by Andrej Karpathy (@karpathy).", "match_method": "similarity", "score": 0.9725, "attempts": 1, "retries": 0, "total_seconds": 4.6723}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 6, "image": "9fdae0ac-7d89-45f1-b628-bcdbac72c185_png.rf.7b62d1c22ac071a0003f46d2feaae5e5.jpg", "expected": "```javascript\nconst BROWSER_APP_NAMES = new Set([\n \"google chrome\",\n \"google chrome canary\",\n \"chromium\",\n \"microsoft edge\",\n \"mozilla firefox\",\n \"firefox\",\n \"opera\",\n \"brave browser\",\n \"vivaldi\",\n \"arc\",\n]);\n```", "predicted": "```javascript\nconst BROWSER_APP_NAMES = new Set([\n \"google chrome\",\n \"google chrome canary\",\n \"chromium\",\n \"microsoft edge\",\n \"mozilla firefox\",\n \"firefox\",\n \"opera\",\n \"brave browser\",\n \"vivaldi\",\n \"arc\",\n]);\n```", "correct": false, "input_tokens": 1219, "output_tokens": 80, "elapsed_seconds": 3.666151999961585, "metadata": {"question": "Transcribe every piece of text in this screenshot exactly as written, in reading order, and omit nothing. Put source code inside fenced code blocks, preserving indentation, quotes, and casing exactly, and transcribe surrounding interface text as Markdown. Transcribe only the definition of the `BROWSER_APP_NAMES` constant shown in the code editor, and ignore all other code, the editor chrome, file tabs, sidebars, and the terminal.", "match_method": "similarity", "score": 0.9107, "attempts": 1, "retries": 0, "total_seconds": 3.6903}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 7, "image": "5cf55f37-8adb-4adb-9520-148340548028_png.rf.d09a7340877434f1cbdb25f1eccd4774.jpg", "expected": "TOM GREEN HANDYMAN\n5 Any Street, Any City, That Area Code\nTelephone: 0800 XXX XXX\n\nDate : 6/5/2016\nInvoice No : 0003521\nTax Registered No 123456\n\nMr and Mrs Fielding\nThis Address\nThis City\nThis Area Code\n\nTAX INVOICE\n\n
QuantityDescriptionUnit PriceCost
Upgrade to Bathroom
23.75Labour40.00950.00
50Nails and screws0.8040.00
1Paint and Plywood1000.001000.00
40Imported wall tiles14.00560.00
1Freight150.00150.00
1Sub-contractor : Tile-It228.00
Subtotal2928.00
Tax439.20
Total Due$3,367.20
\n\nPayment due by the 10th of the month following the date of invoice.\nPlease make payment into Bank Account No. 12 3456 789112 012\n\nInterest of 10% per year will be charged on late payments.\n\nCut here\n\nRemittance\n\nMr and Mrs Fielding\n\nTOM GREEN HANDYMAN\n5 Any Street\nAny City\nThat Area Code\n\nAmount Due $3,367.20\nAmount Paid ______", "predicted": "**TOM GREEN HANDYMAN**\n**5 Any Street, Any City, That Area Code**\n**Telephone: 0800 XXX XXX**\n\n**Date :** 6/5/2016 **Invoice No :** 0003521\n\n**Tax Registered No 123456**\nMr and Mrs Fielding\nThis Address\nThis City\nThis Area Code\n\n**T A X I N V O I C E**\n\n
QuantityDescriptionUnit PriceCost
Upgrade to Bathroom
23.75Labour40.00950.00
50Nails and screws0.8040.00
1Paint and Plywood1000.001000.00
40Imported wall tiles14.00560.00
1Freight150.00150.00
1Sub-contractor : Tile-It228.00
Subtotal2928.00
Tax439.20
Total Due$3,367.20
\n\nPayment due by the 10th of the month following the date of invoice.\nPlease make payment into Bank Account No. **12 3456 789112 012**\n\nInterest of 10% per year will be charged on late payments.\n\n---\n**Cut here**\n**Remittance**\n**Mr and Mrs Fielding**\nTOM GREEN HANDYMAN\n5 Any Street **Amount Due $3,367.20**\nAny City\nThat Area Code **Amount Paid** \\_\\_\\_\\_\\_\\_\\_\\_\\_\\_", "correct": false, "input_tokens": 1194, "output_tokens": 473, "elapsed_seconds": 5.5760907920775935, "metadata": {"question": "Transcribe all text in this document exactly and completely, in reading order, preserving casing, punctuation, currency symbols, and codes. Use an HTML table only for genuinely tabular content, mirroring its rows, columns, and merged cells; write the HTML on single lines with no indentation or blank lines between tags, and collapse horizontal alignment to a single space.", "match_method": "similarity", "score": 0.8668, "attempts": 1, "retries": 0, "total_seconds": 5.5894}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 8, "image": "1bce4a54-e6bc-4752-b48e-d9889895936a_png.rf.6f12b4139eeac41161f2fb59dad48237.jpg", "expected": "I run hermes handling whatsapp, email, cron jobs, building apps, outreaching customers, outbound and inbound calls \u2014 the whole thing. hasn't needed babysitting in weeks. if you're on the fence just try it. worst case you go back. but I don't think you will", "predicted": "Falcon @Falconve_ \u00b7 6\u5c0f\u65f6 ...\nI run hermes handling whatsapp, email, cron jobs, building apps,\noutreaching customers, outbound and inbound calls \u2014 the whole thing.\nhasn't needed babysitting in weeks. if you're on the fence just try it. worst\ncase you go back. but I don't think you will", "correct": false, "input_tokens": 1159, "output_tokens": 81, "elapsed_seconds": 3.659517833031714, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom, keeping each author's handle with their message, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the last (bottom-most) tweet in the thread by Falcon (@Falconve_).", "match_method": "similarity", "score": 0.8908, "attempts": 1, "retries": 0, "total_seconds": 3.691}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 9, "image": "eb592312-33c0-41ff-91ec-6e87ad25f12e_png.rf.ad80ac2d57c33733bd20600e13e312f3.jpg", "expected": "(SAE09TR.72) A 13-year-old girl sustained an isolated midshaft left femoral fracture in a motor vehicle accident. The fracture was treated with a rigid, antegrade intramedullary nail placed through the piriformis fossa. The fracture healed uneventfully, as shown in Figure 46a; however, at 12 months postoperatively she now reports left hip pain. A current AP radiograph and MRI scan are shown in Figures 46b and 46c. What complication occurred in this patient? Review Topic\n\n1 Chondrolysis\n2 Ischemic necrosis of the femoral head\n3 Ischemic necrosis of the greater trochanter\n4 Femoral neck fracture\n5 Trochanteric overgrowth\n\nPREFERRED RESPONSE 2\n\nThe development of femoral head ischemic necrosis is the iatrogenically created complication in this skeletally immature patient. Placement of a rigid, antegrade intramedullary nail through the piriformis fossa is likely to damage the vascular supply to the femoral head as the vessels ascend the femoral neck on the way to the femoral head. The MRI scan reveals ischemic necrosis with early collapse of the femoral head. The joint space is preserved on the MRI scan, ruling out chondrolysis.\n\n(SAE08OS.196) An adult patient has had low-grade fevers, malaise, and joint pain for the past several days. Examination reveals an erythematous \"bulls eye\" rash over the right thigh (erythema migrans). What is the organism associated with this infection? Review Topic", "predicted": "(SAE09TR.72) A 13-year-old girl sustained an isolated midshaft left femoral fracture in a motor vehicle accident. The fracture was treated with a rigid, antegrade intramedullary nail placed through the piriformis fossa. The fracture healed uneventfully, as shown in Figure 46a; however, at 12 months postoperatively she now reports left hip pain. A current AP radiograph and MRI scan are shown in Figures 46b and 46c. What complication occurred in this patient? Review Topic\n\n![img-0.jpeg](img-0.jpeg)\n\n![img-1.jpeg](img-1.jpeg)\n\n![img-2.jpeg](img-2.jpeg)\n\n*1* Chondrolysis\n*2* Ischemic necrosis of the femoral head\n*3* Ischemic necrosis of the greater trochanter\n*4* Femoral neck fracture\n*5* Trochanteric overgrowth\n\nPREFERRED RESPONSE 2\n\nThe development of femoral head ischemic necrosis is the iatrogenically created complication in this skeletally immature patient. Placement of a rigid, antegrade intramedullary nail through the piriformis fossa is likely to damage the vascular supply to the femoral head as the vessels ascend the femoral neck on the way to the femoral head. The MRI scan reveals ischemic necrosis with early collapse of the femoral head. The joint space is preserved on the MRI scan, ruling out chondrolysis.\n\n(SAE08OS.196) An adult patient has had low-grade fevers, malaise, and joint pain for the past several days. Examination reveals an erythematous \"bulls eye\" rash over the right thigh (erythema migrans). What is the organism associated with this infection? Review Topic", "correct": false, "input_tokens": 1169, "output_tokens": 376, "elapsed_seconds": 5.122500000055879, "metadata": {"question": "Transcribe every piece of text in this image exactly as written, in reading order, preserving question and option numbering, and omit nothing. Write mathematical expressions in LaTeX and format the result as Markdown that mirrors the layout.", "match_method": "similarity", "score": 0.9394, "attempts": 1, "retries": 0, "total_seconds": 5.1581}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 10, "image": "c50bed4d-e825-46b7-ac5c-a84806fa0481_png.rf.dbad52cae24c6759d646ebb0ad6c30a3.jpg", "expected": "```python\nimport random\n\ndef roll_dice(n=2, sides=6):\n return [random.randint(1, sides) for _ in range(n)]\n\ndef magic_8ball():\n responses = [\n \"Yes\", \"No\", \"Maybe\", \"Ask again later\",\n \"Absolutely\", \"No way\", \"Signs point to yes\",\n \"Don't count on it\", \"Without a doubt\",\n ]\n return random.choice(responses)\n\nif __name__ == \"__main__\":\n print(f\"Rolling 2 dice: {roll_dice()}\")\n print(f\"Magic 8-Ball says: {magic_8ball()}\")\n print(f\"Your lucky number: {random.randint(1, 100)}\")\n```", "predicted": "```python\nimport random\n\ndef roll_dice(n=2, sides=6):\n return [random.randint(1, sides) for _ in range(n)]\n\ndef magic_8ball():\n responses = [\n \"Yes\", \"No\", \"Maybe\", \"Ask again later\",\n \"Absolutely\", \"No way\", \"Signs point to yes\",\n \"Don't count on it\", \"Without a doubt\",\n ]\n return random.choice(responses)\n\nif __name__ == \"__main__\":\n print(f\"Rolling 2 dice: {roll_dice()}\")\n print(f\"Magic 8-Ball says: {magic_8ball()}\")\n print(f\"Your lucky number: {random.randint(1, 100)}\")\n```", "correct": true, "input_tokens": 1171, "output_tokens": 180, "elapsed_seconds": 6.019190541002899, "metadata": {"question": "Transcribe every piece of text in this screenshot exactly as written, in reading order, and omit nothing. Put source code inside fenced code blocks, preserving indentation, quotes, and casing exactly, and transcribe surrounding interface text as Markdown. Transcribe only the code shown in the editor pane, ignoring the editor chrome, file tabs, sidebars, and the line-number gutter.", "match_method": "similarity", "score": 1.0, "attempts": 1, "retries": 0, "total_seconds": 6.1401}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 11, "image": "d0980bab-2f15-4550-b3e6-813a2ad7e709_png.rf.4002baedf14c91e52686c70ec58fd7f0.jpg", "expected": "Example 3 (HW)\nEach of the numbers 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 is written\non a separate piece of paper. The 10 pieces of paper\nare then placed in a hat. If one piece of paper is\nselected at random from hat, estimate the probability\nthat:\n(i) the number written on piece of paper is an even\nnumber or greater than 6.\n(ii) the number written on piece of paper is less than 5\nor greater than 8.\n(iii) the number written on piece of paper is divisible by 4.\n(iv) the \" \" \" \" \" \" \" at least 7.\n(v) \" \" \" \" \" \" \" at most 3.", "predicted": "Example 3 (HW)\nEach of the numbers 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 is written\non a separate piece of paper. The 10 pieces of paper\nare then placed in a hat. If one piece of paper is\nselected at random from hat, estimate the probability\nthat:\n(i) the number written on piece of paper is an even\n number or greater than 6.\n(ii) the number written on piece of paper is less than 5\n or greater than 8.\n(iii) the number written on piece of paper is divisible by 4.\n(iv) the \" \" \" \" \" \" \" at least 7.\n(v) \" \" \" \" \" \" \" \" at most 3.\nCS Scanned with CamScanner", "correct": false, "input_tokens": 1180, "output_tokens": 192, "elapsed_seconds": 6.900601083994843, "metadata": {"question": "Transcribe all handwritten and printed text exactly as written, reading top to bottom and left to right, and omit nothing; mark only genuinely unreadable words as [illegible]. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9436, "attempts": 1, "retries": 0, "total_seconds": 6.9586}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 12, "image": "00099ca8-7388-4ccb-a9ae-0def0f38e1d4_png.rf.87454ebaa2a188c18aadac0664ef70f6.jpg", "expected": "I'm losing so much money every single second I dont spend in the states. Every day I wake up, I'm hyperventilating about the fact that I am irresponsibly putting my young family's future at great risk because I can't but help listen to my gut. I am filled with doubt every day", "predicted": "kache @yacineMTB \u00b7 9\u5c0f\u65f6 ...\nI'm losing so much money every single second I dont spend in the states.\nEvery day I wake up, I'm hyperventilating about the fact that I am\nirresponsibly putting my young family's future at great risk because I can't\nbut help listen to my gut. I am filled with doubt every day\n\n stainlesssteelcockroach @stainle55446702 \u00b7 10\u5c0f\u65f6\n \u56de\u590d @yacineMTB\n You would like it down south as well. Where engineers are honored as\n the future.....\n\n40 1 248 2.5\u4e07", "correct": false, "input_tokens": 1188, "output_tokens": 146, "elapsed_seconds": 3.5215623329859227, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom, keeping each author's handle with their message, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the first tweet by kache (@yacineMTB).", "match_method": "similarity", "score": 0.5809, "attempts": 1, "retries": 0, "total_seconds": 3.5382}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 13, "image": "838b00ad-2a6d-4bc7-84a3-d3cb3e6fdfb8_png.rf.86b85c55a59bba487946e192adc78406.jpg", "expected": "The French Revolution began in 1789 in France and was caused by several political, social, and economic factors. One major cause was the inequality in the social structure known as the Estates System, where the clergy and nobility enjoyed privileges while the common people had to pay heavy taxes. Another cause was the financial crisis faced by the monarchy due to wars and extravagant spending by Louis XVI and the royal court.\n\nThe influence of Enlightenment thinkers also played a significant role. Philosophers like Jean-Jacques Rousseau and Voltaire promoted ideas of liberty, equality, and popular sovereignty. These ideas encouraged people to question the authority of the monarchy.\n\nThe revolution had major effects on French society and politics. The monarchy was abolished, and France eventually became a republic. The revolution led to the Reign of Terror, during which many people were executed. In the long term, the revolution spread the ideals of liberty, equality, and fraternity across Europe and influenced many future democratic movements.", "predicted": "The French Revolution began in 1789 in France and was caused by several political, social, and economic factors. One major cause was the\ninequality in the social structure known as the Estates System, where the clergy and nobility enjoyed privileges while the common people had\nto pay heavy taxes. Another cause was the financial crisis faced by the monarchy due to wars and extravagant spending by Louis XVI and the\nroyal court.\n\nThe influence of Enlightenment thinkers also played a significant role. Philosophers like Jean-Jacques Rousseau and Voltaire promoted ideas\nof liberty, equality, and popular sovereignty. These ideas encouraged people to question the authority of the monarchy.\n\nThe revolution had major effects on French society and politics. The monarchy was abolished, and France eventually became a republic. The\nrevolution led to the Reign of Terror, during which many people were executed. In the long term, the revolution spread the ideals of\nliberty, equality, and fraternity across Europe and influenced many future democratic movements.", "correct": true, "input_tokens": 1140, "output_tokens": 203, "elapsed_seconds": 3.6287042920012027, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9943, "attempts": 1, "retries": 0, "total_seconds": 3.6395}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 14, "image": "efe6537c-b164-43c1-8a9b-a329c7b96ec1_png.rf.96d23b9a67c8c503dd57cc8ddb11363b.jpg", "expected": "Clinical Nurse Manager Sep 2012 \u2013 Jul 2014\nBarron Center \u2013 Portland, ME\nManaged nursing operations on a 26-bed skilled rehabilitation unit, ensuring effective clinical care delivery.\n\u2022 Supervised nursing staff performance and provided ongoing competency evaluations.\n\u2022 Developed individualized care plans in collaboration with physicians and rehabilitation teams.\n\u2022 Implemented policies and procedures to meet regulatory and accreditation requirements.\n\nRegistered Nurse, Medical-Surgical Unit (Float Pool) Jun 2012 \u2013 Sep 2012\nMercy Hospital \u2013 Portland, ME\nProvided direct patient care within medical-surgical units, ensuring safe and effective treatment delivery.\n\u2022 Performed comprehensive physical assessments and monitored patient progress.\n\u2022 Administered medications and documented interventions per hospital protocols.\n\u2022 Collaborated with multidisciplinary teams to coordinate and plan care.\n\nEDUCATION, CERTIFICATIONS & LICENSURE\n\nBachelor of Science in Nursing (BSN)\nWestern Governors University, Salt Lake City, UT | Graduated January 2019\n\nAssociate of Science in Nursing (ASN)\nCollege of Nursing and Health Professions, Lewiston, ME | Graduated May 2010\n\nCertifications & Licensure\n\u2022 Registered Nurse (RN License #R057634) \u2013 State of Maine\n\u2022 Basic Life Support (BLS) \u2013 Current through December 2027\n\u2022 Educated in: Accountable Care Organizations (ACOs), Patient-Driven Payment Model (PDPM)\n\u2022 Clinical Systems Proficiency: Cerner / PowerChart, EPIC, Quantum, PointClickCare\n\u2022 Utilization Review Tools: InterQual, NaviHealth, CarePort\n\u2022 Analytics & Administrative Systems: Salesforce, Tableau, Microsoft Excel & PowerPoint, ADP, SAP Concur\n\nSKILLS & ADDITIONAL INFORMATION\n\nTechnical Skills\n\u2022 Clinical Systems & EMRs: Cerner / PowerChart, EPIC, Quantum, PointClickCare\n\u2022 Utilization Management Tools: InterQual, NaviHealth, CarePort\n\u2022 Data & Analytics Platforms: Tableau, Salesforce\n\u2022 Productivity Software: Microsoft Office Suite (Excel, PowerPoint, Word, Outlook)\n\u2022 Administrative Systems: ADP, SAP Concur\n\u2022 Quality & Compliance Tools: Electronic Health Record Audit Systems, Core Measure Review PlatformDedicated and results-\ndriven Recruiter/Talent Acquisition Specialist.\n\nPersonal Strengths\n\u2022 Strong leadership and team mentorship abilities\n\u2022 Critical thinking and complex problem-solving\n\u2022 Effective interdisciplinary communication and collaboration\n\u2022 Process improvement and workflow optimization\n\u2022 Independent and solution-focused decision-making\n\u2022 High attention to detail and documentation accuracy\n\u2022 Adaptable to evolving healthcare technologies and remote environments\n\u2022 Empathetic approach to patient advocacy and care coordination\n\nReferences are available upon request", "predicted": "Clinical Nurse Manager Sep 2012 - Jul 2014\nBarron Center - Portland, ME\nManaged nursing operations on a 26-bed skilled rehabilitation unit, ensuring effective clinical care delivery.\n \u2022 Supervised nursing staff performance and provided ongoing competency evaluations.\n \u2022 Developed individualized care plans in collaboration with physicians and rehabilitation teams.\n \u2022 Implemented policies and procedures to meet regulatory and accreditation requirements.\n\nRegistered Nurse, Medical-Surgical Unit (Float Pool) Jun 2012 - Sep 2012\nMercy Hospital - Portland, ME\nProvided direct patient care within medical-surgical units, ensuring safe and effective treatment delivery.\n \u2022 Performed comprehensive physical assessments and monitored patient progress.\n \u2022 Administered medications and documented interventions per hospital protocols.\n \u2022 Collaborated with multidisciplinary teams to coordinate and plan care.\n\nEDUCATION, CERTIFICATIONS & LICENSURE\n\nBachelor of Science in Nursing (BSN)\nWestern Governors University, Salt Lake City, UT | Graduated January 2019\n\nAssociate of Science in Nursing (ASN)\nCollege of Nursing and Health Professions, Lewiston, ME | Graduated May 2010\n\nCertifications & Licensure\n \u2022 Registered Nurse (RN License #R057634) - State of Maine\n \u2022 Basic Life Support (BLS) - Current through December 2027\n \u2022 Educated in: Accountable Care Organizations (ACOs), Patient-Driven Payment Model (PDPM)\n \u2022 Clinical Systems Proficiency: Cerner / PowerChart, EPIC, Quantum, PointClickCare\n \u2022 Utilization Review Tools: InterQual, NaviHealth, CarePort\n \u2022 Analytics & Administrative Systems: Salesforce, Tableau, Microsoft Excel & PowerPoint, ADP, SAP Concur\n\nSKILLS & ADDITIONAL INFORMATION\n\nTechnical Skills\n \u2022 Clinical Systems & EMRs: Cerner / PowerChart, EPIC, Quantum, PointClickCare\n \u2022 Utilization Management Tools: InterQual, NaviHealth, CarePort\n \u2022 Data & Analytics Platforms: Tableau, Salesforce\n \u2022 Productivity Software: Microsoft Office Suite (Excel, PowerPoint, Word, Outlook)\n \u2022 Administrative Systems: ADP, SAP Concur\n \u2022 Quality & Compliance Tools: Electronic Health Record Audit Systems, Core Measure Review PlatformDedicated and results-\n driven Recruiter/Talent Acquisition Specialist.\n\nPersonal Strengths\n \u2022 Strong leadership and team mentorship abilities\n \u2022 Critical thinking and complex problem-solving\n \u2022 Effective interdisciplinary communication and collaboration\n \u2022 Process improvement and workflow optimization\n \u2022 Independent and solution-focused decision-making\n \u2022 High attention to detail and documentation accuracy\n \u2022 Adaptable to evolving healthcare technologies and remote environments\n \u2022 Empathetic approach to patient advocacy and care coordination\n\nReferences are available upon request", "correct": true, "input_tokens": 1178, "output_tokens": 557, "elapsed_seconds": 6.131033333018422, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9879, "attempts": 1, "retries": 0, "total_seconds": 6.1483}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 15, "image": "e21e8de4-67cb-4b99-acaf-7c73dc28df9f_png.rf.c9c271f7c9fe67f7186ee45aebf42a40.jpg", "expected": "ACS PLUS\n\nADVERTISING COMMUNICATION SERVICES\n\nBloc 17 App 233 1003 Cit\u00e9 les Olympiades\n\nTEL 71 771 324 FAX 71 770 682\n\nCode TVA1243006M/A/M/000\n\nEmail: acs.info@topnet.tn\n\nDEVIS N\u00b0 89-24\n\nClient: IEEE\n\nCode TVA:\n\nAdresse:\n\nT\u00e9l: Fax:\n\nTunis le 12/04/24\n\nCCB : 03210119011500465159A BNA KHERREDINE PACHA\n\n
R\u00e9f\u00e9renceD\u00e9signationQuantit\u00e9P. U.T.V.A.P.H.T.
Rollup 2 x 0,851170.00019%170.000
Pins1201.40019%168.000
Affiche A4 120 g impression R/V301.00019%30.000
Total H.T.368.000
Remise
Total HT368.000
\n\n
Total T.V.A. 10%
Total T.V.A. 7%
Total T.V.A. 19%69.920
Total T.V.A. 29%
Timbre Fiscal1.000
Total T.T.C.438.920
\n\n,\n\nArr\u00eat\u00e9 le pr\u00e9sent devis \u00e0 la somme de:\n\nDIRECTION COMMERCIALE", "predicted": "# ACS PLUS\nADVERTISING COMMUNICATION SERVICES\n---\nBloc 17 App 233 1003 Cit\u00e9 les Olympiades\nTEL 71 771 324 FAX 71 770 682\nCode TVA1243006M/A/M/000\nEmail: acs.info@topnet.tn\n\n# DEVIS N\u00b0 89-24\n\nClient: IEEE\nCode TVA:\nAdresse:\nT\u00e9l: Fax:\n\nTunis le 12/04/24\n\nCCB: 03210119011500465159A BNA KHERREDINE PACHA\n\n
R\u00e9f\u00e9renceD\u00e9signationQuantit\u00e9P. U.T.V.A.P.H.T.
Rollup 2 x 0,851170.00019%170.000
Pins1201.40019%168.000
Affiche A4 120 g impression R/V301.00019%30.000
Total H.T.368.000
Remise
Total HT368.000
\n\n
Total T.V.A. 10%
Total T.V.A. 7%
Total T.V.A. 19%69.920
Total T.V.A. 29%
Timbre Fiscal1.000
Total T.T.C.438.920
\n\n'\nArr\u00eat\u00e9 le pr\u00e9sent devis \u00e0 la somme de:\n\nDIRECTION COMMERCIALE", "correct": false, "input_tokens": 1194, "output_tokens": 523, "elapsed_seconds": 6.46390012500342, "metadata": {"question": "Transcribe all text in this document exactly and completely, in reading order, preserving casing, punctuation, currency symbols, and codes. Use an HTML table only for genuinely tabular content, mirroring its rows, columns, and merged cells; write the HTML on single lines with no indentation or blank lines between tags, and collapse horizontal alignment to a single space.", "match_method": "similarity", "score": 0.9174, "attempts": 1, "retries": 0, "total_seconds": 6.471}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 16, "image": "280f2634-897d-499e-9e0e-2426fb6ed193_png.rf.de84ffe2f1cd78e0c4f16f319320c449.jpg", "expected": "Deloitte.\n\nDeloitte Touche Tohmatsu\nIndia LLP\nPrestige Trade Tower, Level 19\n46, Palace Road, High Grounds\nBengaluru - 560 001\nKarnataka, India\n\nTel: +91 80 6188 6000\nFax: +91 80 6188 6011\nwww.deloitte.com\n\nStrictly Private and Confidential\n\nDate: 8 July, 2025\n\nFlipkart Internet Private Limited\nAlyssa Begonia and Clover,\nEmbassy Tech Village ORR,\nDevarabeesanahalli Village,\nVarthur Hobli, Bangalore - 560103, Karnataka\n\nKind Attention: Mr. Kamal Chopra\n\nDear Sir,\n\nRe: Indirect Tax Services \u2013 Engagement Letter\n\nWe thank you for giving an opportunity to Deloitte Touche Tohmatsu India LLP (\u201cDTTI LLP\u201d or \u201cService Provider\u201d) to assist FLIPKART INTERNET PRIVATE LIMITED (\u201cClient\u201d/\u201dFKN\u201d/\u201dCompany\u201d) in Indirect tax services (\u201cServices\u201d) for the benefit of the Client and the subsidiaries and/or Affiliates of the Client as specified in Annexure-2.\n\n(The identified subsidiaries and Affiliates in Annexure-2 together with the Client, are hereinafter collectively referred to as \u201cBeneficiary/(ies)\u201d). The Services will be provided in accordance with and subject to the provisions of this engagement letter (including any Work Orders/Statement of Work and Annexures 1, 2, 3, 4, 5 and 6 hereto) (\u201cEngagement Letter\u201d) and the Standard Tax Terms attached hereto (the Engagement Letter and Standard Tax Terms hereinafter are collectively referred to as collectively \u201cContract\u201d).\n\n1. BACKGROUND\n\n1.1 Flipkart Internet Private Limited is a company which owns the E-commerce portal \u201cFlipkart.com\u201d. It functions as a marketplace wherein various business entities can list their products in the website in return to a fee charged to use its portal.\n\n1.2 We further understand that the company receives revenue through payment gateway services, hosting services, advertisement services, etc and is also engaged in fulfilment services rendered to the sellers listed on the website.\n\n1.3 We would be glad to provide assistance, more specifically described in below paragraph(s).", "predicted": "Deloitte.\n\nDeloitte Touche Tohmatsu\nIndia LLP\nPrestige Trade Tower, Level 19\n46, Palace Road, High Grounds\nBengaluru - 560 001\nKarnataka, India\n\nTel: +91 80 6188 6000\nFax: +91 80 6188 6011\nwww.deloitte.com\n\nStrictly Private and Confidential\n\nDate: 8 July, 2025\n\nFlipkart Internet Private Limited\nAlyssa Begonia and Clover,\nEmbassy Tech Village ORR,\nDevarabeesanahalli Village,\nVarthur Hobli, Bangalore - 560103, Karnataka\n\nKind Attention: Mr. Kamal Chopra\n\nDear Sir,\nRe: Indirect Tax Services \u2013 Engagement Letter\n\nWe thank you for giving an opportunity to Deloitte Touche Tohmatsu India LLP (\"DTTI LLP\" or \"Service\nProvider\") to assist FLIPKART INTERNET PRIVATE LIMITED (\"Client\"/\"FKN\"/\"Company\") in Indirect tax\nservices (\"Services\") for the benefit of the Client and the subsidiaries and/or Affiliates of the Client as\nspecified in Annexure-2.\n\n(The identified subsidiaries and Affiliates in Annexure-2 together with the Client, are hereinafter collectively\nreferred to as \"Beneficiary/(ies)\"). The Services will be provided in accordance with and subject to the\nprovisions of this engagement letter (including any Work Orders/Statement of Work and Annexures 1, 2, 3,\n4, 5 and 6 hereto) (\"Engagement Letter\") and the Standard Tax Terms attached hereto (the Engagement\nLetter and Standard Tax Terms hereinafter are collectively referred to as collectively \"Contract\").\n\n1. BACKGROUND\n\n1.1 Flipkart Internet Private Limited is a company which owns the E-commerce portal \"Flipkart.com\".\nIt functions as a marketplace wherein various business entities can list their products in the website\nin return to a fee charged to use its portal.\n\n1.2 We further understand that the company receives revenue through payment gateway services,\nhosting services, advertisement services, etc and is also engaged in fulfilment services rendered to\nthe sellers listed on the website.\n\n1.3 We would be glad to provide assistance, more specifically described in below paragraph(s).\n\nMamatha J", "correct": true, "input_tokens": 1161, "output_tokens": 493, "elapsed_seconds": 6.344371584011242, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9782, "attempts": 1, "retries": 0, "total_seconds": 6.3783}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 17, "image": "93441566-50c0-4bfb-9a31-437a2bc5e4f2_png.rf.cd5bf1f53754c220ec912b1c44ade759.jpg", "expected": "2\n3000\nCOUNTER +2000\nActivate:Main Once Per Turn You may add 1 card from your Life area to your hand: This Character gains +2000 power during this turn. Then, give this Character up to 2 rested DON!! cards.\nCHARACTER\nSanji\nStraw Hat Crew\nOP01-013", "predicted": "2\n3000\n\u6253\nSTRIKE\n\nCOUNTER +2000\n\nActivate:Main Once Per Turn You may add 1 card from\nyour Life area to your hand: This Character gains +2000\npower during this turn. Then, give this Character up to 2\nrested DON!! cards.\n\nCHARACTER\nSanji\nStraw Hat Crew\n\nOP01-013 R 1\n\u00a9E.O./S \u00a9E.O./S., T.A. BANDAI MADE IN JAPAN", "correct": false, "input_tokens": 1178, "output_tokens": 117, "elapsed_seconds": 3.3997372910380363, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.7915, "attempts": 1, "retries": 0, "total_seconds": 3.4126}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 18, "image": "2e43ea51-fc34-4d42-8b0f-66b2172d81f7_png.rf.345ac976ac43b542da24279e8683876b.jpg", "expected": "Q.5\n\nLet $L_1$ be the line of intersection of the planes given by the equations\n\n$$2x + 3y + z = 4 \\quad \\text{and} \\quad x + 2y + z = 5.$$\n\nLet $L_2$ be the line passing through the point $P(2, -1, 3)$ and parallel to $L_1$. Let $M$ denote the plane given by the equation\n\n$$2x + y - 2z = 6.$$\n\nSuppose that the line $L_2$ meets the plane $M$ at the point $Q$. Let $R$ be the foot of the perpendicular drawn from $P$ to the plane $M$ .\n\nThen which of the following statements is (are) TRUE?\n\n| | |\n|---|---|\n| (A) | The length of the line segment $PQ$ is $9\\sqrt{3}$ |\n| (B) | The length of the line segment $QR$ is $15$ |\n| (C) | The area of $\\triangle PQR$ is $\\dfrac{3}{2}\\sqrt{234}$ |\n| (D) | The acute angle between the line segments $PQ$ and $PR$ is $\\cos^{-1}\\left(\\dfrac{1}{2\\sqrt{3}}\\right)$ |\n\nAnswer: A, C\n\n3/9", "predicted": "Q.5\n\nLet $L_1$ be the line of intersection of the planes given by the equations\n$$2x + 3y + z = 4 \\text{ and } x + 2y + z = 5 \\text{ .}$$\nLet $L_2$ be the line passing through the point $P(2, -1, 3)$ and parallel to $L_1$. Let $M$ denote the plane given by the equation\n$$2x + y - 2z = 6 \\text{ .}$$\nSuppose that the line $L_2$ meets the plane $M$ at the point $Q$. Let $R$ be the foot of the perpendicular drawn from $P$ to the plane $M$ .\n\nThen which of the following statements is (are) TRUE?\n\n| | |\n| :--- | :--- |\n| (A) | The length of the line segment $PQ$ is $9\\sqrt{3}$ |\n| (B) | The length of the line segment $QR$ is $15$ |\n| (C) | The area of $\\Delta PQR$ is $\\frac{3}{2}\\sqrt{234}$ |\n| (D) | The acute angle between the line segments $PQ$ and $PR$ is $\\cos^{-1}\\left(\\frac{1}{2\\sqrt{3}}\\right)$ |\n\n**Answer: A, C**\n\n---\n
3/9
", "correct": false, "input_tokens": 1184, "output_tokens": 324, "elapsed_seconds": 4.876175542012788, "metadata": {"question": "Transcribe every piece of text in this image exactly as written, in reading order, preserving question and option numbering, and omit nothing. Write mathematical expressions in LaTeX and format the result as Markdown that mirrors the layout.", "match_method": "similarity", "score": 0.9023, "attempts": 1, "retries": 0, "total_seconds": 4.8902}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 19, "image": "8b690a3e-b9cd-48e1-a323-981e43142145_png.rf.84216f941b59ba17963217ea5bea26e9.jpg", "expected": "Question 37:\nConsider a system with six I/O-bound processes and one CPU-bound process. Each I/O-bound process executes for 1 ms before blocking for a 12 ms I/O operation. The context-switch overhead is 0.1 ms.\nUsing Round-Robin scheduling:\na. Time quantum = 1 ms\nb. Time quantum = 6 ms\nFor each case:\n\u2022 Draw the execution timeline.\n\u2022 Determine the average waiting time of the CPU-bound process.\n\u2022 Explain how the choice of quantum affects waiting time.\n\nQuestion 38:\nConsider a system with twelve I/O-bound tasks and one CPU-bound task. Each I/O-bound task runs for 1 ms before performing an 8 ms I/O operation.\nUsing Round-Robin scheduling:\na. Time quantum = 1 ms\nb. Time quantum = 4 ms\nFor each case:\n\u2022 Show the sequence of process execution.\n\u2022 Determine the average number of processes in the ready queue.\n\u2022 Explain how the quantum affects queue length.\n\nQuestion 39:\nConsider a system with eight I/O-bound tasks and two CPU-bound tasks. Each I/O-bound task requests an I/O operation after every 2 ms of CPU execution. Each I/O operation requires 12 ms. Using Round-Robin scheduling:\na. Time quantum = 2 ms\nb. Time quantum = 8 ms\nDetermine:\n\u2022 CPU utilization.\n\u2022 I/O device utilization.\n\u2022 Periods when the I/O device is idle.", "predicted": "Question 37:\nConsider a system with six I/O-bound processes and one CPU-bound process. Each I/O-bound\nprocess executes for 1 ms before blocking for a 12 ms I/O operation. The context-switch\noverhead is 0.1 ms.\nUsing Round-Robin scheduling:\n a. Time quantum = 1 ms\n b. Time quantum = 6 ms\nFor each case:\n \u2022 Draw the execution timeline.\n \u2022 Determine the average waiting time of the CPU-bound process.\n \u2022 Explain how the choice of quantum affects waiting time.\n\nQuestion 38:\nConsider a system with twelve I/O-bound tasks and one CPU-bound task. Each I/O-bound task\nruns for 1 ms before performing an 8 ms I/O operation.\nUsing Round-Robin scheduling:\n a. Time quantum = 1 ms\n b. Time quantum = 4 ms\nFor each case:\n \u2022 Show the sequence of process execution.\n \u2022 Determine the average number of processes in the ready queue.\n \u2022 Explain how the quantum affects queue length.\n\nQuestion 39:\nConsider a system with eight I/O-bound tasks and two CPU-bound tasks. Each I/O-bound task\nrequests an I/O operation after every 2 ms of CPU execution. Each I/O operation requires 12\nms. Using Round-Robin scheduling:\n a. Time quantum = 2 ms\n b. Time quantum = 8 ms\nDetermine:\n \u2022 CPU utilization.\n \u2022 I/O device utilization.\n \u2022 Periods when the I/O device is idle.", "correct": true, "input_tokens": 1162, "output_tokens": 377, "elapsed_seconds": 5.923938499996439, "metadata": {"question": "Transcribe every piece of text in this image exactly as written, in reading order, preserving question and option numbering, and omit nothing. Output as plain text but preserve the visual structure. Do not add any extra markdown styling.", "match_method": "similarity", "score": 0.9539, "attempts": 1, "retries": 0, "total_seconds": 5.9385}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 20, "image": "056e17c9-9b46-496a-9cf8-c1b54bd73216_png.rf.ad6da03e5299b085ff446174b8c6cc4b.jpg", "expected": "```python\nclass Snapshot(BaseModel):\n pageIndex: int = 1\n stateId: str # computed by extension\n interactive: List[InteractiveElement] = Field(default_factory=list)\n extracted: Optional[ExtractedCard] = None\n ts_ms: int\n```", "predicted": "```python\nclass Snapshot(BaseModel):\n pageIndex: int = 1\n stateId: str # computed by extension\n interactive: List[InteractiveElement] = Field(default_factory=list)\n extracted: Optional[ExtractedCard] = None\n ts_ms: int\n```", "correct": true, "input_tokens": 1200, "output_tokens": 71, "elapsed_seconds": 4.059932666015811, "metadata": {"question": "Transcribe every piece of text in this screenshot exactly as written, in reading order, and omit nothing. Put source code inside fenced code blocks, preserving indentation, quotes, and casing exactly, and transcribe surrounding interface text as Markdown. Transcribe only the complete definition of the `Snapshot` class exactly as it appears in the code editor, including the class line and all its fields, and ignore all other code, editor chrome, file tabs, sidebars, and the terminal.", "match_method": "similarity", "score": 1.0, "attempts": 1, "retries": 0, "total_seconds": 4.1007}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 21, "image": "0f7a1b1b-b0f9-4dba-9659-0455701b7a3f_png.rf.a006d974af16d067a2ee124fe9e15f3f.jpg", "expected": "Department of Computer Science and Engineering\nFaculty of Technology & Engineering\nThe M. S. University of Baroda, Vadodara\nS.S BE IV CSE (______)\n\nINDUSTRY PROJECT EVALUATION FORM\n\nName of the Student : Raval Sumit Bharatbhai\nName of Project Guide : Sukhvala Prit Hasmukhbhai\nTitle / Designation : Jr. Salesforce Developer\nEmail of Project Guide : sukhvalaps@gmail.com\nAddress of the Organization : Dev Arcade, U3, Eru Char Rasta, Vejalpore, Jalalpore, Eroo, Navsari, Gujarat-396450\nContact No. : 98751 62607\n\n(Indicate your choice by tick a (\u2713) mark):\n\nHighest-----------------------------------------------------------------Lowest\n\n
Attributes of ObservancePO54321
1Punctuality/ RegularityPO8\u2713
2Sincerity in LearningPO12\u2713
3Enthusiasm to use new technological toolsPO5\u2713
4Team Spirit: Relationship with Team MembersPO9\u2713
5Technical/Programming SkillsPO1\u2713
6Societal Impact of ProjectPO7\u2713
7InnovationPO1,PO5\u2713
8Knowledge of Algorithm OptimizationPO1,PO4\u2713
9Problem Solving AbilityPO2\u2713
10Project Management/Leadership Skills: Taking responsibilitiesPO11\u2713
11Communication SkillsPO10\u2713
12Implementing InstructionsPO3\u2713
13Achievement of DeadlinesPO11\u2713
14Follows Sustainable Development practices in day to day work and project workPO6\u2713
15Overall Performance, Behavior and AttitudePO8\u2713
\n\nPage 1 of 2", "predicted": "Department of Computer Science and Engineering\nFaculty of Technology & Engineering\nThe M. S. University of Baroda, Vadodara\nS.S BE IV CSE (   )\n\n**INDUSTRY PROJECT EVALUATION FORM**\n\n**Name of the Student** : Raval Sumit Bharatbhai\n**Name of Project Guide** : Sakhvala Prit Hasmukhbhai\n**Title / Designation** : Jr. Salesforce Developer\n**Email of Project Guide** : sakhvalaps@gmail.com\n**Address of the Organization** : Dev Arcade, U3, Eru Char Rasta,\nVejalpore, Jalapore, Eroo , Navsari.\n**Contact No.** : 98751 62607   Gujarat-396450\n\n**(Indicate your choice by tick a ($\\sqrt{}$) mark):**\n\n**Highest---------------------------------------------------Lowest**\n\n
Attributes of ObservancePO54321
1Punctuality/ RegularityPO8\u2713
2Sincerity in LearningPO12\u2713
3Enthusiasm to use new technological toolsPO5\u2713
4Team Spirit: Relationship with Team MembersPO9\u2713
5Technical/Programming SkillsPO1\u2713
6Societal Impact of ProjectPO7\u2713
7InnovationPO1,PO5\u2713
8Knowledge of Algorithm OptimizationPO1,PO4\u2713
9Problem Solving AbilityPO2\u2713
10Project Management/Leadership Skills: Taking responsibilitiesPO11\u2713
11Communication SkillsPO10\u2713
12Implementing InstructionsPO3\u2713
13Achievement of DeadlinesPO11\u2713
14Follows Sustainable Development practices in day to day work and project workPO6\u2713
15Overall Performance, Behavior and AttitudePO8\u2713
\n\nPage **1** of **2**", "correct": false, "input_tokens": 1166, "output_tokens": 681, "elapsed_seconds": 7.304855375085026, "metadata": {"question": "Transcribe all text in this document exactly and completely, in reading order, preserving casing, punctuation, currency symbols, and codes. Use an HTML table only for genuinely tabular content, mirroring its rows, columns, and merged cells; write the HTML on single lines with no indentation or blank lines between tags, and collapse horizontal alignment to a single space.", "match_method": "similarity", "score": 0.9357, "attempts": 1, "retries": 0, "total_seconds": 7.3187}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 22, "image": "4f216ea0-af67-40e1-a226-2884e051db56_png.rf.b2fadeee17b3985c08325bec449bfd27.jpg", "expected": "NANAVATI\nMAX Super Speciality Hospital\n\n28/11/25\n\nTo\n\nWHOM SO EVER IT MAY CONCERNS\n\nMrs. Tanvi Mehta, 33/F, K/c/o CKD Stage 5 is planned for Live related kidney transplant on 2/12/2025. Post op patient is given immunosuppressants so require Isolation / Single room for infection prevention.\n\nSo kindly consider the same.\n\nFor Dr. Jalin Kotuan.\n\nDr. Balabhai Nanavati Hospital (Charitable) \nS.V. Road, Vile Parle (W), Mumbai - 400 056 \nTel.: +91-22-6134 7500 \nManaged by Max Hospitals and Allied services Limited\n\nwww.nanavatimaxhospital.org", "predicted": "NANAVATI\nMAX Super Speciality\nHospital 28/11/25\nTo\nWHOM SO EVER IT MAY CONCERNS\nMrs.Tanvi Mehta, 33/F, K/c/o CKD stage 5\nis planned for Live related kidney transplant\non 2/12/2025. Post op patient is given\nimmunosuppressants so require Isolation/\nSingle room for infection prevention.\nSo kindly consider the same.\nDR. BALABHAI NANAVATI HOSPITAL\nMUMBAI-56\nFor Dr. Jatin Kothari\nDr. Balabhai Nanavati Hospital (Charitable)\nS.V. Road, Vile Parle (W), Mumbai - 400 056\nTel.: +91-22-6134 7500\nManaged by Max Hospitals and Allied services Limited\nwww.nanavatimaxhospital.org\nNABH\nH-2015-0289\nDec 02, 18 - Dec 01, 21\nSince Dec 02, 2015", "correct": false, "input_tokens": 1140, "output_tokens": 251, "elapsed_seconds": 4.437581917038187, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.8089, "attempts": 1, "retries": 0, "total_seconds": 4.4927}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 23, "image": "058e2b7c-372e-4d28-8921-9686341124d1_png.rf.17dd3d796974c2aef56049a1e6edcee8.jpg", "expected": "Sir Ganga Ram Hospital\nSir Ganga Ram Hospital Marg, Rajinder Nagar,\nNew Delhi-110060, INDIA Tel : +91-11-4225 4000\n\nMedical Superintendent (Offg.)\nSir Ganga Ram Kolmet Hospital, 7-B, Pusa Road,\nNew Delhi-110005. Tel : +91-11-45099999, (D) 45099980\n\nDr. Raj Kamal Agarwal\nSr. Consultant\nDeptt. of Anaesthesiology\nPain & Peri Operative Medicine\nMobile : +91 98101 52201\nE-mail : kamalagarwal300@gmail.com\n\nTO WHOM IT MAY CONCERN\n\nAs per ICMR guideline, the contacts of COVID +ve cases should be put on HOME ISOLATION even with Mild Symptoms\n\nIt is advised that everybody takes these preventive medication apart from following SOCIAL DISTANCING, HAND HYGIENE & WEARING MASK\n\nRx\n\u2022 TAB HYDROXY CHLOROQUINE 400mg once a week\n\u2022 TAB VITAMIN C one gram once a day\n\u2022 TAB ZINC 50 mg once a day\n\nIn case of fever\n\n* \u2022 TAB CROCIN/CALPOL 650 mg SOS\n\nIn case of throat pain & cough\n\n* \u2022 TAB CETRIZINE 10mg once a day.\n\u2022 SYRUP ALEX 2/3 Tea spoon 3 times a day.\n\nDr. RAJ KAMAL AGARWAL\nMBBS, DA\nDMC No. 14517\nSENIOR CONSULTANT\nDEPTT. OF ANAESTHSIOLOGY\nPERIOPERATIVE MEDICINE & PAIN\nSIR GANGARAM HOSPITAL\nRAJINDER NAGAR, NEW DELHI-110060\nPh.9810152201\n\nResidence :\n181, Royalton Tower, Princeton Estate, DLF Phase-V, Gurugram, Haryana", "predicted": "Sir Ganga Ram Hospital\nSir Ganga Ram Hospital Marg, Rajinder Nagar,\nNew Delhi-110060, INDIA Tel : +91-11-4225 4000\nMedical Superintendent (Offg.)\nSir Ganga Ram Kolmet Hospital, 7-B, Pusa Road,\nNew Delhi-110005. Tel : +91-11-45099999, (D) 45099980\nDr. Raj Kamal Agarwal\nSr. Consultant\nDeptt. of Anaesthesiology\nPain & Peri Operative Medicine\nMobile : +91 98101 52201\nE-mail : kamalagarwal300@gmail.com\n\nTO WHOM IT MAY CONCERN\nAs per ICMR guideline, the contacts of\nCOVID +ve cases should be put on HOME\nISOLATION even with Mild Symptoms\nIt is advised that everybody takes these\npreventive medication apart from following\nSOCIAL DISTANCING, HAND HYGIENE & WEARING\nMASK\n\nRx\n\u2022 TAB HYDROXYCHLOROQUINE 400mg once a week\n\u2022 TAB VITAMIN C one gram once a day\n\u2022 TAB ZINC 50mg once a day\nIn case of fever\n* \u2022 TAB CROCIN / CALPOL 650mg SOS\nIn case of throat pain & cough\n* \u2022 TAB CETRIZINE 10mg once a day.\n\u2022 SYRUP ALEX 2/3 tea spoon 3 times a day.\n\n[illegible]\n10 - 3 - 2020\nDR. RAJ KAMAL AGARWAL\nMBBS, DA\nDMC No 4537\nSENIOR CONSULTANT\nDEPTT. OF ANAESTHSIOLOGY\nPERIOPERATIVE MEDICINE & PAIN\nSIR GANGARAM HOSPITAL\nRAJINDER NAGAR, NEW DELHI-110060\nPH 9810152201\n\nResidence :\n181, Royalton Tower, Princeton Estate, DLF Phase-V, Gurugram, Haryana-122011", "correct": true, "input_tokens": 1152, "output_tokens": 464, "elapsed_seconds": 7.192864375072531, "metadata": {"question": "Transcribe all handwritten and printed text exactly as written, reading top to bottom and left to right, and omit nothing; mark only genuinely unreadable words as [illegible]. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9531, "attempts": 1, "retries": 0, "total_seconds": 7.273}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 24, "image": "1b4e5426-d109-4398-8e45-ab1dc497980f_png.rf.bded2a0f08d8a00ca919034e8f04cf48.jpg", "expected": "Lesson \n1.1\n\nReading (Recognizing Uppercase and Lowercase Letters)\n\nActivity\n\nCircle the matching lowercase letter in each row. The first one has been completed.\n\n| | | | | |\n|---|---|---|---|---|\n| A | c | (a) | e | h |\n| B | v | n | (b) | l |\n| C | a | w | e | (c) |\n| D | (d) | l | t | i |\n| E | b | m | x | (e) |\n| F | e | o | (f) | p |\n| G | h | (g) | r | s |\n| H | v | a | (h) | r |\n| I | c | a | (i) | p |\n| J | t | y | o | (j) |\n| K | (k) | x | d | u |\n| L | o | (l) | a | t |\n| M | b | (m) | n | w |", "predicted": "Lesson\n1.1\n\n# Reading (Recognizing Uppercase and Lowercase Letters)\n\n## Activity\n\n**Circle the matching lowercase letter in each row. The first one has been completed.**\n\n| | | | | |\n| :--- | :---: | :---: | :---: | :---: |\n| A | c | $\\textcircled{\\text{a}}$ | e | h |\n| B | v | n | $\\textcircled{\\text{b}}$ | l |\n| C | a | w | $\\textcircled{\\text{e}}$ | c |\n| D | $\\textcircled{\\text{d}}$ | l | t | i |\n| E | b | m | x | $\\textcircled{\\text{e}}$ |\n| F | e | o | $\\textcircled{\\text{f}}$ | p |\n| G | h | $\\textcircled{\\text{g}}$ | r | s |\n| H | v | a | $\\textcircled{\\text{h}}$ | r |\n| I | c | a | $\\textcircled{\\text{i}}$ | p |\n| J | t | y | o | $\\textcircled{\\text{j}}$ |\n| K | $\\textcircled{\\text{k}}$ | x | d | u |\n| L | o | $\\textcircled{\\text{l}}$ | a | t |\n| M | b | $\\textcircled{\\text{m}}$ | n | w |\n\nCabsera", "correct": false, "input_tokens": 1190, "output_tokens": 311, "elapsed_seconds": 5.818099832977168, "metadata": {"question": "Transcribe every piece of text in this image exactly as written, in reading order, preserving question and option numbering, and omit nothing. Write mathematical expressions in LaTeX and format the result as Markdown that mirrors the layout. Ignore the vertical text printed sideways along the page margin.", "match_method": "similarity", "score": 0.5777, "attempts": 1, "retries": 0, "total_seconds": 5.8565}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 25, "image": "9e81338a-33bb-479d-939a-0df376f0a972_png.rf.917d36705351e18951147dc224677339.jpg", "expected": "yes exactly! a bit like i'm being manipulated in some creepy way. \"please like me, look how much i know about you, we are good friends\".", "predicted": "Andrej Karpathy @karpathy \u00b7 1\u5c0f\u65f6\nyes exactly! a bit like i'm being manipulated in some creepy way. \"please like me, look how much i know about you, we are good friends\".\n4 2 105 4,300", "correct": false, "input_tokens": 1184, "output_tokens": 64, "elapsed_seconds": 3.0822614580392838, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom, keeping each author's handle with their message, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the last (bottom-most) tweet authored by Andrej Karpathy (@karpathy).", "match_method": "similarity", "score": 0.7473, "attempts": 1, "retries": 0, "total_seconds": 3.1145}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 26, "image": "e6e06b1b-da53-41ac-bfdf-9316443ff037_png.rf.39688157a0a030c060170f7400170d30.jpg", "expected": "31/3/24 AI OCR Tools\n\nQuite unusually for me, this essay started its life as a scribble in a notebook rather than something I typed into a markdown editor. A few weeks ago Tiago Forte made a short video suggesting that people can use GPT4-V to capture their hand-written notes digitally. I've been looking for a \"smart\" OCR tool that can process my terribly scratchy, spidery hand writing for many years and none have quite cut the mustard. But, I thought, why not give it a go. To my absolute surprise, GPT did a phenomenal job of parsing my scrawlings and spitting out text. I was seriously impressed. Handwriting OCR has now gone from a fun toy and conversation piece to something I can actually, seriously use in my workflow. So then, is GPT via ChatGPT the best option I've got for this task or are there any FOSS tools and models that I could use instead?\n\nThe Closest option: CRAFT-TROCR\n\nI played with this a couple of years ago and it was reasonably good at certain content but only if I write in my very best hand writing all the time. And I don't do that because when I am taking notes in a meeting or something, I am thinking about the meeting, not my hand writing.\n\nHow does CRAFT-TROCR work? Are there any major differences? I'm guessing a big transformer model is able to maximise probability globally across the image + the generated text.\n\n68", "predicted": "31/3/24 AI OCR Tools\n\nQuite unusually for me, this essay started its life\nas a scribble in a notebook rather than something\nI typed into a markdown editor. A few weeks ago\nTiago Forte made a short video suggesting that\npeople can use GPT4-V to capture their hand-written\nnotes digitally. I've been looking for a \"smart\"\nOCR tool that can process my terribly scratchy,\nspidery hand writing for many years and none have\nquite cut the mustard. But, I thought, why not\ngive it a go. To my absolute surprise, GPT did\na phenomenal job of parsing my scrawlings and\nspitting out text. I was seriously impressed.\nHandwriting OCR has now gone from a fun toy\nand conversation piece to something I can actually, seriously\nuse in my workflow. So then, is GPT via ChatGPT\nthe best option I've got for this task or are\nthere any FOSS tools and models that I could\nuse instead?\n\nThe Classic option: CRAFT-TROCR\n\nI played with this a couple of years ago and\nit was reasonably good at certain content but only\nif I write in my very best hand writing all the time.\nAnd I don't do that because when I am taking\nnotes in a meeting or something, I am thinking about\nthe meeting, not my hand writing.\n\nHow does CRAFT-TROCR work? Are there any major\ndifferences? I'm guessing a big transformer model\nis able to maximise probability globally across the\nimage + the generated text.\n\n68", "correct": true, "input_tokens": 1210, "output_tokens": 341, "elapsed_seconds": 5.827392957988195, "metadata": {"question": "Transcribe all handwritten and printed text exactly as written, reading top to bottom and left to right, and omit nothing; mark only genuinely unreadable words as [illegible]. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the text on the left page of the notebook, ignoring the partially visible right page.", "match_method": "similarity", "score": 0.9787, "attempts": 1, "retries": 0, "total_seconds": 5.8783}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 27, "image": "d1d7aaf7-169c-4847-866d-61bc0a6784b4_png.rf.47c7117d83bf6448f821dbc28e0e6255.jpg", "expected": "R\u00c9PUBLIQUE FRAN\u00c7AISE\nCARTE NATIONALE D'IDENTIT\u00c9 / IDENTITY CARD\n\nNOM / Surname \nMARTIN\n\nPr\u00e9noms / Given names \nMa\u00eblys Ga\u00eblle, Marie\n\nSEXE / Sex\nF\n\nNATIONALIT\u00c9 / Nationality\nFRA\n\nDATE DE NAISS. / Date of birth \n13 07 1990\n\nLIEU DE NAISSANCE / Place of birth \nPARIS\n\nNOM D'USAGE / Alternate name \nNOM D'USAGE\n\nN\u00b0 DU DOCUMENT / Document No. \nX4RTBPFW4\n\nDATE D'EXPIR. / Expiry date \n11 02 2030\n\nSignature\n\n384213", "predicted": "R\u00c9PUBLIQUE FRAN\u00c7AISE FR\nCARTE NATIONALE D'IDENTIT\u00c9 / IDENTITY CARD\nNOM / Surname\nMARTIN\nPr\u00e9noms / Given names\nMa\u00eblys-Ga\u00eblle, Marie\nSEXE / Sex NATIONALIT\u00c9 / Nationality DATE DE NAISS. / Date of birth\nF FRA 13 07 1990\nLIEU DE NAISSANCE / Place of birth\nPARIS\nNOM D'USAGE / Alternate name\nNOM D'USAGE\nN\u00b0 DU DOCUMENT / Document No. DATE D'EXPIR. / Expiry date\nX4RTBPFW4 11 02 2030\n384213", "correct": false, "input_tokens": 1179, "output_tokens": 149, "elapsed_seconds": 4.465634541003965, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the main identity document, reading top to bottom and left to right, and ignore the vertical text along the left edge, the signature graphic, and the faint background watermark.", "match_method": "similarity", "score": 0.8504, "attempts": 1, "retries": 0, "total_seconds": 4.5267}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 28, "image": "bcd74d99-f2d8-4005-aa54-2cc083e5a293_png.rf.1d000af6e7da39b4a95398db67f4bcbb.jpg", "expected": "4/16/26, 3:09 PM\n\nDocs\n\nGetting Started with Docker setup\n\nTo begin developing and deploying applications within this environment, you must have Docker Engine and the Docker Compose plugin installed. Follow the steps below to set up the environment on a Debian/Ubuntu-based system.\n\n1. Update the Package Index\n\nsudo apt update\n\nsudo apt install -y ca-certificates curl gnupg lsb-release\n\ncurl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --dearmor -o /etc/apt/keyrings/docker.gpg\n\nsudo chmod a+r /etc/apt/keyrings/docker.gpg\n\necho \\\n \"deb [arch=$(dpkg --print-architecture) signed-by=/etc/apt/keyrings/docker.gpg] https://download.docker.com/linux/ubuntu \\\n $(. /etc/os-release && echo \"$VERSION_CODENAME\") stable\" | \\\n sudo tee /etc/apt/sources.list.d/docker.list > /dev/null\n\nsudo apt update\n\nsudo apt install -y docker-ce docker-ce-cli containerd.io docker-buildx-plugin docker-compose-plugin", "predicted": "4/16/26, 3:09 PM Docs\n\nGetting Started with Docker setup\n\nTo begin developing and deploying applications within this environment, you must\nhave Docker Engine and the Docker Compose plugin installed. Follow the steps\nbelow to set up the environment on a Debian/Ubuntu-based system.\n\n1. Update the Package Index\n\nsudo apt update\n\nsudo apt install -y ca-certificates curl gnupg lsb-release\n\ncurl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --\ndearmor -o /etc/apt/keyrings/docker.gpg\n\nsudo chmod a+r /etc/apt/keyrings/docker.gpg\n\necho \\\n \"deb [arch=$(dpkg --print-architecture) signed-\nby=/etc/apt/keyrings/docker.gpg]\nhttps://download.docker.com/linux/ubuntu \\\n $(. /etc/os-release && echo \"$VERSION_CODENAME\") stable\" | \\\n sudo tee /etc/apt/sources.list.d/docker.list > /dev/null\n\nsudo apt update\n\nsudo apt install -y docker-ce docker-ce-cli containerd.io docker-\nbuildx-plugin docker-compose-plugin", "correct": true, "input_tokens": 1161, "output_tokens": 268, "elapsed_seconds": 5.429954083985649, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9913, "attempts": 1, "retries": 0, "total_seconds": 5.4392}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 29, "image": "8aa12106-fbe5-4983-96bf-a1243a7c4020_png.rf.83832cdeaaf470d6954bbada16920ccd.jpg", "expected": "\"Jade City\"\nBaan 16 - 8256 AX\nBiddinghuizen\n\nT.Nr: L7\n\n
1 Gebraden magere spek met pikante saus a 19.50 (1 Nasi a EUR 1.00)EUR20.50
1 Chinese bami a la \"Jade City\" a 19.00EUR19.00
1 Babi pangang met pikante saus a 19.00 (1 Nasi a EUR 1.00)EUR20.00
1 Koe Loe Kai a 18.00 (1 Nasi a EUR 1.00)EUR19.00
1 Ossenhaas met oestersaus a 21.00EUR21.00
2 Dame blanche(ijs.choc.slagroom)EUR9.00
1 Cola a 3.25EUR3.25
2 Cola-max a 3.25EUR6.50
1 Sinas a 3.25EUR3.25
1 Seven-up a 3.25EUR3.25
2 ice thee met prik a 3.75EUR7.50
3 ijs a 4.00EUR12.00
\n\n============ +\nTotaal: EUR 144.25\n============\n\nBTW 9.0% EUR 11.91\n\nBedankt voor Uw bezoek\nRabobank NL29 0348178123\nKvk 39037611", "predicted": "\"Jade City\"\nBaan 16 - 8256 AX\nBiddinghuizen\n\nT.Nr: L7\n\n
1Gebraden magere spek met pikante saus a 19.50 (1 Nasi a EUR 1.00)EUR20.50
1Chinese bami a la \"Jade City\" a 19.00EUR19.00
1Babi pangang met pikante saus a 19.00 (1 Nasi a EUR 1.00)EUR20.00
1Koe Loe Kai a 18.00 (1 Nasi a EUR 1.00)EUR19.00
1Ossenhaas met oestersaus a 21.00EUR21.00
2Dame blanche(ijs,choc,slagroom)EUR9.00
1Cola a 3.25EUR3.25
2Cola-max a 3.25EUR6.50
1Sinas a 3.25EUR3.25
1Seven-up a 3.25EUR3.25
2ice thee met prik a 3.75EUR7.50
3ijs a 4.00EUR12.00
========== +
Totaal: EUR144.25
==========
\n\nBTW 9.0% EUR 11.91\n\nBedankt voor Uw bezoek\nRabobank NL29 0348178123\nKvk 39037611", "correct": false, "input_tokens": 1204, "output_tokens": 513, "elapsed_seconds": 6.221044084057212, "metadata": {"question": "Transcribe all text in this document exactly and completely, in reading order, preserving casing, punctuation, currency symbols, and codes. Use an HTML table only for genuinely tabular content, mirroring its rows, columns, and merged cells; write the HTML on single lines with no indentation or blank lines between tags, and collapse horizontal alignment to a single space. Transcribe only the main receipt in the foreground, and ignore the upside-down, semi-transparent receipt behind it.", "match_method": "similarity", "score": 0.8028, "attempts": 1, "retries": 0, "total_seconds": 6.2882}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 30, "image": "11b83a24-c9b8-4d9a-b4db-b73d396719cd_png.rf.358e9a65b048e920c8eacbd7b7fb1df6.jpg", "expected": "Something tells me that if they released their chat/tool/hyper-param templates which they use on their cloud service, there'd be a lot more love and acceptance. Why anyone is still using a llama.cpp wrapper anymore is the better question and beyond me.", "predicted": "Eric @Ex0byt \u00b7 1\u5c0f\u65f6\nSomething tells me that if they released their chat/tool/hyper-param templates which they use on their cloud service, there\u2019d be a lot more love and acceptance. Why anyone is still using a llama.cpp wrapper anymore is the better question and beyond me.\n 40", "correct": false, "input_tokens": 1199, "output_tokens": 72, "elapsed_seconds": 4.048482500016689, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom, keeping each author's handle with their message, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the reply authored by Eric (@Ex0byt).", "match_method": "similarity", "score": 0.9127, "attempts": 1, "retries": 0, "total_seconds": 4.078}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 31, "image": "fc6e5e8d-4b33-4a20-a63a-96c0205ae8f6_png.rf.6cdeb04c221a85b1895ded05acdbfa1b.jpg", "expected": "When recorded return to:\nSTRIBLING LAW FIRM PO\n101 E MCINTOSH ST\nMILLEDGEVILLE GA 3106\n\nDoc ID: 001029530008 Type: GLR\nRecorded: 10/21/2013 at 04:07:30 PM\nPage 1 of 8\nBaldwin, Ga. Clerk Superior Court\nRosemary Phillips Clerk of Courts\nBK 1150 PG 483-490\n\nFILED & RECORDED\nCLERK, SUPERIOR COURT\nBALDWIN COUNTY, GA\n2013 OCT 21 PM 4: 07\nBY\nROSEMARY PHILLIPS, CLERK\n\nDeed To Secure Debt\n(With Future Advance Clause)\n\n1. Date and Parties. The date of this Deed to Secure Debt (Security Instrument) is OCTOBER 21, 2013\n. The parties and their addresses are:\n\nGrantor: THE BRACK FAMILY LIMITED\nPARTNERSHIP\n891 S JEFFERSON STREET SE\nMILLEDGEVILLE GA 31061\n\n\u2610 If checked, refer to the attached Addendum incorporated herein, for additional Grantors, their signatures\nand acknowledgments.\n\nGrantee: CENTURY BANK AND TRUST\n(\"Lender\") 141 S WAYNE ST\nMILLEDGEVILLE, GA 31061-5708\n\n2. Conveyance. For good and valuable consideration, the receipt and sufficiency of which is acknowledged,\nand to secure the Secured Debt (defined below) and Grantor\u2019s performance under this Security Instrument,\nGrantor irrevocably grants, bargains, transfers, conveys and sells to Lender, with power of sale, the\nfollowing described property:\n*SEE EXHIBIT 'A' ATTACHED HERETO AND INCORPORATED HEREIN BY REFERENCE.\n\nThe property is located in BALDWIN at\n(County)\n101 KINGS RD , MILLEDGEVILLE , Georgia 31061-0000\n(Address) (City) (ZIP Code)\nTogether with all rights, easements, appurtenances, royalties, mineral rights, oil and gas rights, all water and\nriparian rights, ditches, and water stock and all existing and future improvements, structures, fixtures, and\nreplacements that may now, or at any time in the future, be part of the real estate described above (all\nreferred to as \"Property\").\n\n3. Maximum Obligation Limit. The total principal amount secured by this Security Instrument at any one time\nshall not exceed $ UNLIMITED . This limitation of amount does not include\ninterest and other fees and charges validly made pursuant to this Security Instrument. Also, this limitation\ndoes not apply to advances made under the terms of this Security Instrument to protect Lender\u2019s security and\nto perform any of the covenants contained in this Security Instrument.\n\nReal Estate Security Instrument-Consumer-GA\nVMP\u00ae Bankers Systems\u2122\nWolters Kluwer Financial Services \u00a9 1994, 2011\n\nRE-DSD-GA 1/24/2011\nVMPC231(GA) (1101).00\nPage 1 of 6\n\nBB R# 189300", "predicted": "When recorded return to:\nSTRIBLING LAW FIRM PC 2\n101 E MCINTOSH ST\nMILLEDGEVILLE GA 31061\n\nFILED & RECORDED\nCLERK, SUPERIOR COURT\nBALDWIN COUNTY, GA\n\nDoc ID: 001029530008 Type: GLR\nRecorded: 10/21/2013 at 04:07:30 PM 2013 OCT 21 PM 4: 07\nPage 1 of 8\nBaldwin, Ga. Clerk Superior Court\nRosemary Phillips Clerk of Courts BY Barbara Boyer\nBK 1150 PG 483-490 ROSEMARY PHILLIPS, CLERK\ndpty Clerk\n\nDeed To Secure Debt\n(With Future Advance Clause)\n\n1. Date and Parties. The date of this Deed to Secure Debt (Security Instrument) is OCTOBER 21, 2013\n. The parties and their addresses are:\n\nGrantor: THE BRACK FAMILY LIMITED\nPARTNERSHIP\n891 S JEFFERSON STREET SE\nMILLEDGEVILLE GA 31061\n\nIf checked, refer to the attached Addendum incorporated herein, for additional Grantors, their signatures\nand acknowledgments.\n\nGrantee: CENTURY BANK AND TRUST\n(\"Lender\") 141 S WAYNE ST\nMILLEDGEVILLE, GA 31061-5708\n\n2. Conveyance. For good and valuable consideration, the receipt and sufficiency of which is acknowledged,\nand to secure the Secured Debt (defined below) and Grantor's performance under this Security Instrument,\nGrantor irrevocably grants, bargains, transfers, conveys and sells to Lender, with power of sale, the\nfollowing described property:\n\n*SEE EXHIBIT 'A' ATTACHED HERETO AND INCORPORATED HEREIN BY REFERENCE.\n\nThe property is located in BALDWIN at\n(County)\n101 KINGS RD , MILLEDGEVILLE , Georgia 31061-0000\n(Address) (City) (ZIP Code)\nTogether with all rights, easements, appurtenances, royalties, mineral rights, oil and gas rights, all water and\nriparian rights, ditches, and water stock and all existing and future improvements, structures, fixtures, and\nreplacements that may now, or at any time in the future, be part of the real estate described above (all\nreferred to as \"Property\").\n\n3. Maximum Obligation Limit. The total principal amount secured by this Security Instrument at any one time\nshall not exceed $ UNLIMITED . This limitation of amount does not include\ninterest and other fees and charges validly made pursuant to this Security Instrument. Also, this limitation\ndoes not apply to advances made under the terms of this Security Instrument to protect Lender's security and\nto perform any of the covenants contained in this Security Instrument.\n\nReal Estate Security Instrument-Consumer-GA RE-DSD-GA 1/24/2011\nVMP\u00ae Bankers Systems\u2122 VMPC231(GA) (1101).00\nWolters Kluwer Financial Services \u00a9 1994, 2011 Page 1 of 6\n\nBB R# 189300", "correct": false, "input_tokens": 1168, "output_tokens": 702, "elapsed_seconds": 7.5291259590303525, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.8866, "attempts": 1, "retries": 0, "total_seconds": 7.5581}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 32, "image": "c05c3288-ac14-47d6-8756-9ad484ae9696_png.rf.0ff67a7a39c5d5c7c9739988d851c032.jpg", "expected": "COST OF LIVING\n\nThe following figures are a general guide to essential monthly expenses for an expatriate executive living in Azerbaijan.\n\nMarried\nSingle couple with\nperson two children\n(US$) (US$)\n\nRent 800 3,000\nFood 300 1,200\nTransport 150 300\nUtilities 100 150\nEducation n. a. 1,000\nMiscellaneous 500 1,000\n\nTotal 1,850 6,650", "predicted": "COST OF LIVING\n\nThe following figures are a general guide to\nessential monthly expenses for an expatriate\nexecutive living in Azerbaijan.\n\nMarried\nSingle couple with\nperson two children\n(US$) (US$)\nRent 800 3,000\nFood 300 1,200\nTransport 150 300\nUtilities 100 150\nEducation n. a. 1,000\nMiscellaneous 500 1,000\nTotal 1,850 6,650", "correct": true, "input_tokens": 1164, "output_tokens": 129, "elapsed_seconds": 3.611256916075945, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9878, "attempts": 1, "retries": 0, "total_seconds": 3.6526}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 33, "image": "5327a38f-11a2-45f2-9a38-e1375dfbeb43_png.rf.b6a2243d098302d780056ad980a16a9c.jpg", "expected": "Probabilistic two-stage detection\n\ncosts of the second stage. Our second stage makes full use of years of progress in two-stage detection (Cai & Vasconcelos, 2018; Chen et al., 2019a) and yields a significant increase in detection accuracy over one-stage baselines. It also easily scales to large-vocabulary detection.\n\nExperiments on COCO (Lin et al., 2014), LVIS (Gupta et al., 2019), and Objects365 (Shao et al., 2019) demonstrate that our probabilistic two-stage framework boosts the accuracy of a strong CascadeRCNN model by 1-3 mAP, while also improving its speed. Using a standard ResNeXt-101-DCN backbone with a CenterNet (Zhou et al., 2019a) first stage, our detector achieves 50.2 mAP on COCO test-dev. With a strong Res2Net-101-DCN-BiFPN (Gao et al., 2019a; Tan et al., 2020b) backbone and self-training (Zoph et al., 2020), it achieves 56.4 mAP with single-scale testing, outperforming all published results. Using a small DLA-BiFPN backbone and lower input resolution, we achieve 49.2 mAP on COCO at 33 fps on a Titan Xp, outperforming the popular YOLOv4 model (43.5 mAP at 33 fps) on the same hardware. Code and models are release at https://github.com/xingyizhou/CenterNet2.\n\n2. Related Work\n\nOne-stage detectors jointly predict an output class and location of objects densely throughout the image. RetinaNet (Lin et al., 2017b) classifies a set of predefined sliding anchor boxes and handles the foreground-background imbalance by reweighting losses for each output. FCOS (Tian et al., 2019) and CenterNet (Zhou et al., 2019a) eliminate the need of multiple anchors per pixel and classify foreground/background by location. ATSS (Zhang et al., 2020b) and PAA (Kim & Lee, 2020) further improve FCOS by changing the definition of foreground and background. GFL (Li et al., 2020b) and Autoassign (Zhu et al., 2020a) change the hard foreground-background assignment to a weighted soft assignment. AlignDet (Chen et al., 2019c) uses a deformable convolution layer before the output to gather richer features for classification and regression. RepPoint (Yang et al., 2019) and DenseRepPoint (Yang et al., 2020) encode bounding boxes as the outline of a set of points and use the features of the point set for classification. BorderDet (Qiu et al., 2020) pools features along the bounding box for better localization. Most one-stage detectors have a sound probabilistic interpretation.\n\nWhile one-stage detectors have achieved competitive performance (Zhang et al., 2020b; Kim & Lee, 2020; Zhang et al., 2019; Li et al., 2020b; Zhu et al., 2020a), they usually rely on heavier separate classification and regression branches than two-stage models. In fact, they are no longer faster than their two-stage counterparts if the vocabulary (i.e., the set of object classes) is large (as in the LVIS or Objects365 datasets). Also, one-stage detectors only use the local features of the positive cell for regression and classification, which is sometimes misaligned with the object (Chen et al., 2019c; Song et al., 2020).\n\nOur probabilistic two-stage framework retains the probabilistic interpretation of one-stage detectors, but factorizes the probability distribution over multiple stages, improving both accuracy and speed.\n\nTwo-stage detectors first use a region proposal network (RPN) to generate coarse object proposals, and then use a dedicated per-region head to classify and refine them. Faster-RCNN (Ren et al., 2015; He et al., 2017) uses two fully-connected layers as the RoI heads. CascadeRCNN (Cai & Vasconcelos, 2018) uses three cascaded stages of Faster-RCNN, each with a different positive threshold so that the later stages focus more on localization accuracy. HTC (Chen et al., 2019a) utilizes additional instance and semantic segmentation annotations to enhance the inter-stage feature flow of CascadeRCNN. TSD (Song et al., 2020) decouples the classification and localization branches for each RoI.\n\nTwo-stage detectors are still more accurate in many settings (Gupta et al., 2019; Sun et al., 2020; Kuznetsova et al., 2018). Currently, all two-stage detectors use a relatively weak RPN that maximizes the recall of the top 1K proposals, and does not utilize the proposal score at test time. The large number of proposals slows the system down, and the recall-based proposal network does not directly offer the same clear probabilistic interpretation as one-stage detectors. Our framework addresses this, and integrates a strong class-agnostic single-stage object detector with later classification stages. Our first stage uses fewer, but higher quality, regions, yielding both faster inference and higher accuracy.\n\nOther detectors. A family of object detectors identify objects via points in the image. CornerNet (Law & Deng, 2018) detects the top-left and bottom-right corners and groups them using an embedding feature. ExtremeNet (Zhou et al., 2019b) detects four extreme points and groups them using an additional center point. Duan et al. (2019) detect the center point and use it to improve corner grouping. Corner Proposal Net (Duan et al., 2020) uses pairwise corner groupings as region proposals. CenterNet (Zhou et al., 2019a) detects the center point and regresses the bounding box parameters from it.\n\nDETR (Carion et al., 2020) and Deformable DETR (Zhu et al., 2020c) remove the dense output in a detector, and instead use a Transformer (Vaswani et al., 2017) that directly predicts a set of bounding boxes.\n\nThe major difference between point-based detectors, DETR, and conventional detectors lies in the network architecture. Point-based detectors use a fully-convolutional network (Newell et al., 2016; Yu et al., 2018), usually with symmetric downsampling and upsampling layers, and pro-", "predicted": "Probabilistic two-stage detection\n\ncosts of the second stage. Our second stage makes full use\nof years of progress in two-stage detection (Cai & Vascon-\ncelos, 2018; Chen et al., 2019a) and yields a significant\nincrease in detection accuracy over one-stage baselines. It\nalso easily scales to large-vocabulary detection.\n Experiments on COCO (Lin et al., 2014), LVIS (Gupta\net al., 2019), and Objects365 (Shao et al., 2019) demon-\nstrate that our probabilistic two-stage framework boosts the\naccuracy of a strong CascadeRCNN model by 1-3 mAP,\nwhile also improving its speed. Using a standard ResNeXt-\n101-DCN backbone with a CenterNet (Zhou et al., 2019a)\nfirst stage, our detector achieves 50.2 mAP on COCO test-\ndev. With a strong Res2Net-101-DCN-BiFPN (Gao et al.,\n2019a; Tan et al., 2020b) backbone and self-training (Zoph\net al., 2020), it achieves 56.4 mAP with single-scale testing,\noutperforming all published results. Using a small DLA-\nBiFPN backbone and lower input resolution, we achieve\n49.2 mAP on COCO at 33 fps on a Titan Xp, outperforming\nthe popular YOLOv4 model (43.5 mAP at 33 fps) on the\nsame hardware. Code and models are release at https:\n//github.com/xingyizhou/CenterNet2.\n\n2. Related Work\n\nOne-stage detectors jointly predict an output class and\nlocation of objects densely throughout the image. Reti-\nnaNet (Lin et al., 2017b) classifies a set of predefined sliding\nanchor boxes and handles the foreground-background im-\nbalance by reweighting losses for each output. FCOS (Tian\net al., 2019) and CenterNet (Zhou et al., 2019a) elimi-\nnate the need of multiple anchors per pixel and classify\nforeground/background by location. ATSS (Zhang et al.,\n2020b) and PAA (Kim & Lee, 2020) further improve FCOS\nby changing the definition of foreground and background.\nGFL (Li et al., 2020b) and Autoassign (Zhu et al., 2020a)\nchange the hard foreground-background assignment to a\nweighted soft assignment. AlignDet (Chen et al., 2019c)\nuses a deformable convolution layer before the output to\ngather richer features for classification and regression. Rep-\nPoint (Yang et al., 2019) and DenseRepPoint (Yang et al.,\n2020) encode bounding boxes as the outline of a set of\npoints and use the features of the point set for classification.\nBorderDet (Qiu et al., 2020) pools features along the bound-\ning box for better localization. Most one-stage detectors\nhave a sound probabilistic interpretation.\n While one-stage detectors have achieved competitive perfor-\nmance (Zhang et al., 2020b; Kim & Lee, 2020; Zhang et al.,\n2019; Li et al., 2020b; Zhu et al., 2020a), they usually rely\non heavier separate classification and regression branches\nthan two-stage models. In fact, they are no longer faster\nthan their two-stage counterparts if the vocabulary (i.e., the\nset of object classes) is large (as in the LVIS or Objects365\ndatasets). Also, one-stage detectors only use the local fea-\nture of the positive cell for regression and classification,\nwhich is sometimes misaligned with the object (Chen et al.,\n2019c; Song et al., 2020).\n Our probabilistic two-stage framework retains the proba-\nbilistic interpretation of one-stage detectors, but factorizes\nthe probability distribution over multiple stages, improving\nboth accuracy and speed.\n Two-stage detectors first use a region proposal network\n(RPN) to generate coarse object proposals, and then use a\ndedicated per-region head to classify and refine them. Faster-\nRCNN (Ren et al., 2015; He et al., 2017) uses two fully-\nconnected layers as the RoI heads. CascadeRCNN (Cai &\nVasconcelos, 2018) uses three cascaded stages of Faster-\nRCNN, each with a different positive threshold so that the\nlater stages focus more on localization accuracy. HTC (Chen\net al., 2019a) utilizes additional instance and semantic seg-\nmentation annotations to enhance the inter-stage feature\nflow of CascadeRCNN. TSD (Song et al., 2020) decouples\nthe classification and localization branches for each RoI.\n Two-stage detectors are still more accurate in many set-\ntings (Gupta et al., 2019; Sun et al., 2020; Kuznetsova et al.,\n2018). Currently, all two-stage detectors use a relatively\nweak RPN that maximizes the recall of the top 1K propos-\nals, and does not utilize the proposal score at test time. The\nlarge number of proposals slows the system down, and the\nrecall-based proposal network does not directly offer the\nsame clear probabilistic interpretation as one-stage detec-\ntors. Our framework addresses this, and integrates a strong\nclass-agnostic single-stage object detector with later classi-\nfication stages. Our first stage uses fewer, but higher quality,\nregions, yielding both faster inference and higher accuracy.\n Other detectors. A family of object detectors iden-\ntify objects via points in the image. CornerNet (Law\n& Deng, 2018) detects the top-left and bottom-right cor-\nners and groups them using an embedding feature. Ex-\ntremeNet (Zhou et al., 2019b) detects four extreme points\nand groups them using an additional center point. Duan\net al. (2019) detect the center point and use it to improve\ncorner grouping. Corner Proposal Net (Duan et al., 2020)\nuses pairwise corner groupings as region proposals. Cen-\nterNet (Zhou et al., 2019a) detects the center point and\nregresses the bounding box parameters from it.\n DETR (Carion et al., 2020) and Deformable DETR (Zhu\net al., 2020c) remove the dense output in a detector, and\ninstead use a Transformer (Vaswani et al., 2017) that directly\npredicts a set of bounding boxes.\n The major difference between point-based detectors, DETR,\nand conventional detectors lies in the network architec-\nture. Point-based detectors use a fully-convolutional net-\nwork (Newell et al., 2016; Yu et al., 2018), usually with\nsymmetric downsampling and upsampling layers, and pro-", "correct": true, "input_tokens": 1156, "output_tokens": 1621, "elapsed_seconds": 16.4235725000035, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9791, "attempts": 1, "retries": 0, "total_seconds": 16.4625}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 34, "image": "f3701711-56c0-4e6d-94ad-edbe5931b13c_png.rf.0dfe995026d12d57bfa8621b501a51c9.jpg", "expected": "Table.10 Nutrient availability after harvesting of pigeon pea (pooled data of 3 years).\n\n
Tr.TreatmentsAvailable NAvailable PAvailable KDTPA-FeDTPA-ZnDTPA-CuDTPA-Mn
Kg ha-1mgkg-1
T1Absolute control (No Fertilizers)144.536.11535.003.350.411.114.60
T2RDF only (25:50:00 NPK/ha)147.517.21539.673.390.431.134.69
T3RDF+ 25 Kg K2O/ha148.427.57558.933.520.441.154.79
T4RDF+ 50 Kg K2O/ha154.517.71560.003.520.441.224.81
T5RDF+ 25 Kg K2O/ha+ Grade I micronutrient (soil application)154.697.59562.003.580.561.325.79
T6RDF+ 50Kg K2O/ha + Grade I micronutrient (soil application)157.918.16596.003.830.581.346.11
T7RDF+ 25 Kg K2O/ha + Grade II micronutrient (0.5 % foliar spray)155.407.90592.003.590.451.265.53
T8RDF+ 50 Kg K2O/ha + Grade II micronutrient (0.5 % foliar spray)157.058.12595.003.710.451.315.70
T9RDF+ 25 Kg K2O/ha + 2 % KNO3(foliar spray)148.677.60558.003.530.421.155.51
T10RDF+ 50 Kg K2O/ha + 2 % KNO3(foliar spray)152.517.77592.673.450.431.235.54
SEm (\u00b1)1.900.4111.300.020.020.010.32
CD at 5 %5.631.2733.540.060.030.97
Grand mean152.127.57568.933.540.081.225.31
\n\n13", "predicted": "Table.10 Nutrient availability after harvesting of pigeon pea (pooled data of 3 years).\n
Tr.TreatmentsAvailable
N		Available
P		Available
K		DTPA-
Fe		DTPA-
Zn		DTPA-
Cu		DTPA-
Mn
Kg ha-1mgkg-1
T1Absolute control (No Fertilizers)144.536.11535.003.350.411.114.60
T2RDF only (25:50:00 NPK/ha)147.517.21539.673.390.431.134.69
T3RDF+ 25 Kg K2O/ha148.427.57558.933.520.441.154.79
T4RDF+ 50 Kg K2O/ha154.517.71560.003.520.441.224.81
T5RDF+ 25 Kg K2O/ha+ Grade I micronutrient (soil
application)		154.697.59562.003.580.561.325.79
T6RDF+ 50Kg K2O/ha + Grade I micronutrient (soil
application)		157.918.16596.003.830.581.346.11
T7RDF+ 25 Kg K2O/ha + Grade II micronutrient (0.5 %
foliar spray)		155.407.90592.003.590.451.265.53
T8RDF+ 50 Kg K2O/ha + Grade II micronutrient (0.5 %
foliar spray)		157.058.12595.003.710.451.315.70
T9RDF+ 25 Kg K2O/ha + 2 % KNO3(foliar spray)148.677.60558.003.530.421.155.51
T10RDF+ 50 Kg K2O/ha + 2 % KNO3(foliar spray)152.517.77592.673.450.431.235.54
SEm (\u00b1)1.900.4111.300.020.020.010.32
CD at 5 %5.631.2733.540.060.030.97
Grand mean152.127.57568.933.540.081.225.31
\n13", "correct": true, "input_tokens": 1194, "output_tokens": 1064, "elapsed_seconds": 10.442616499960423, "metadata": {"question": "Transcribe all text in this document exactly and completely, in reading order, preserving casing, punctuation, currency symbols, and codes. Use an HTML table only for genuinely tabular content, mirroring its rows, columns, and merged cells; write the HTML on single lines with no indentation or blank lines between tags, and collapse horizontal alignment to a single space.", "match_method": "similarity", "score": 0.9506, "attempts": 1, "retries": 0, "total_seconds": 10.4766}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 35, "image": "c81c96a7-296d-4050-827a-f89309f7a523_png.rf.28cfadfc50dc15c7a43434f17af3489f.jpg", "expected": "will i am \nPlumbing & Heating\n\nBusiness Address \n24 Godwin House \nLondon, E2 8PH\n\n07851 499 470\n\n020 7 686 8226\n\ninfo@will-i-am-pnh.co.uk\n\nInvoice to: \nOrkun Acikgoz \nFlat 3 Pedlers Apartments, 1C Hewison \nStreet E3 2HZ\n\nInvoice No: 17065 \nDate: 12th May 2025\n\nRef: Flat 3 Pedlers Apartments, 1C Hewison \nStreet E3 2HZ\n\n
DESCRIPTIONQTYUNIT PRICETOTAL PRICE
Carried out an investigation, fault diagnosis and attempt to repair a leak going downstairs after the shower was used on 12/05/25 (2 hours on site - please refer to email for a report)2\u00a3100.00\u00a3200.00
Materials - x1 white silicone, x1 PTFE1\u00a310.78\u00a310.78
\n\n
SUBTOTAL:\u00a3210.78
20.0% S:\u00a342.16
TOTAL:\u00a3252.94
PAID:\u00a30.00
BALANCE DUE:\u00a3252.94
\n\nBank details as follows: \nBANK \u2013 HSBC \nwill i am Plumbing & Heating Limited \nSORT CODE \u2013 40-01-18 \nACCOUNT NO. - 41837478\n\n\u00a3252.94 due on 12th May 2025\n\nThank You", "predicted": "will i am\nPlumbing & Heating\n\nBusiness Address\n24 Godwin House\nLondon, E2 8PH\n07851 499 470\n020 7 686 8226\ninfo@will-i-am-pnh.co.uk\n\nInvoice to:\nOrkun Acikgoz\nFlat 3 Pedlers Apartments, 1C Hewison\nStreet E3 2HZ\n\nInvoice No: 17065\nDate: 12th May 2025\nRef: Flat 3 Pedlers Apartments, 1C Hewison\nStreet E3 2HZ\n\n
DESCRIPTIONQTYUNIT PRICETOTAL
PRICE
Carried out an investigation, fault diagnosis and attempt to repair a
leak going downstairs after the shower was used on 12/05/25 (2
hours on site - please refer to email for a report)		2\u00a3100.00\u00a3200.00
Materials - x1 white silicone, x1 PTFE1\u00a310.78\u00a310.78
\n\nSUBTOTAL: \u00a3210.78\n20.0% S: \u00a342.16\nTOTAL: \u00a3252.94\nPAID: \u00a30.00\nBALANCE DUE: \u00a3252.94\n\nBank details as follows:\nBANK \u2013 HSBC\nwill i am Plumbing & Heating Limited\nSORT CODE \u2013 40-01-18\nACCOUNT NO. - 41837478\n\n\u00a3252.94 due on 12th May 2025\n\nThank You", "correct": false, "input_tokens": 1194, "output_tokens": 404, "elapsed_seconds": 5.726608915952966, "metadata": {"question": "Transcribe all text in this document exactly and completely, in reading order, preserving casing, punctuation, currency symbols, and codes. Use an HTML table only for genuinely tabular content, mirroring its rows, columns, and merged cells; write the HTML on single lines with no indentation or blank lines between tags, and collapse horizontal alignment to a single space.", "match_method": "similarity", "score": 0.8338, "attempts": 1, "retries": 0, "total_seconds": 5.7524}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223717", "index": 36, "image": "b883e11d-433f-4c18-b0a5-11a0599a241b_png.rf.1efeebf4c96c16074b4f57edde37de47.jpg", "expected": "AUTORES\n\n01- ANA LUIZA BAPTISTA\n02- ANA MARA ALVES DE FREITAS\n03- AMANDA MACHADO AGUIAR\n04- ANDREA NICOLAU PASCHOAL\n05- CARLOS EDUARDO PEREIRA DE MELLO\n06- CRISTIANE HONDA\n07- DANIEL DELAZERI DE FARIA\n08- DIEGO VIEIRA DE SOUZA\n09- ILAN AKISABURO KIMURA\n10- MARIANA BOTELHO MENEGATTI\n11- MARINA PEINADO BERBERIAN\n12- MICHAEL MENDES\n13- RAFAEL DONIZETI SOUZA DE TOLEDO\n14- RAFAEL PADILLA\n15- RAFAEL SCHULIEN\n16- RENATA QUISSAK BARTELEGA PEIXOTO\n17- SILVIA RIBEIRO BROTTO\n18- THAIS NAGOSHI SUZUKI", "predicted": "AUTORES\n\n01- ANA LUIZA BAPTISTA\n02- ANA MARA ALVES DE FREITAS\n03- AMANDA MACHADO AGUIAR\n04- ANDREA NICOLAU PASCHOAL\n05- CARLOS EDUARDO PEREIRA DE MELLO\n06- CRISTIANE HONDA\n07- DANIEL DELAZERI DE FARIA\n08- DIEGO VIEIRA DE SOUZA\n09- ILAN AKISABURO KIMURA\n10- MARIANA BOTELHO MENEGATTI\n11- MARINA PEINADO BERBERIAN\n12- MICHAEL MENDES\n13- RAFAEL DONIZETI SOUZA DE TOLEDO\n14- RAFAEL PADILLA\n15- RAFAEL SCHULIEN\n16- RENATA QUISSAK BARTELEGA PEIXOTO\n17- SILVIA RIBEIRO BROTTO\n18- THAIS NAGOSHI SUZUKI", "correct": true, "input_tokens": 1176, "output_tokens": 214, "elapsed_seconds": 5.937370165949687, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 1.0, "attempts": 1, "retries": 0, "total_seconds": 6.0307}} diff --git a/results/ocr_gemini-4-argon_low_20261012_223719.jsonl b/results/ocr_gemini-4-argon_low_20261012_223719.jsonl new file mode 100644 index 0000000..f26be0a --- /dev/null +++ b/results/ocr_gemini-4-argon_low_20261012_223719.jsonl @@ -0,0 +1,37 @@ +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 0, "image": "4f770728-7b1f-4bf3-b877-e3d33fcc135d_png.rf.dffcaaeb26fd7fe4fd14891cb00a0adf.jpg", "expected": "100 Good Cookies\n1 cup white sugar 1 teaspoon baking soda\n1 cup brown sugar 1 cup quick oatmeal\n1 cup margarine 1 cup coconut\n1 cup cooking oil 1 cup Rice Krispies\n1 egg 1 cup chopped walnuts\n1 teaspoon vanilla 3\u00bd cups flour\n1 teaspoon cream of tartar 1-12oz. package mini\nchocolate chips\nMix in order given. Drop by teaspoonful onto cookie sheet. Bake at 350\u00b0 for 8-10 minutes.\n(over)", "predicted": "100 Good Cookies\n1 cup white sugar 1 teaspoon baking soda\n1 cup brown sugar 1 cup quick oatmeal\n1 cup margarine 1 cup coconut\n1 cup cooking oil 1 cup Rice Krispies\n1 egg 1 cup chopped walnuts\n1 teaspoon vanilla 3 1/2 cups flour\n1 teaspoon cream of tartar 1-12oz. package mini\n chocolate chips\nMix in order given. Drop by teaspoonful onto\ncookie sheet. Bake at 350\u00b0 for 8-10 minutes.\n (over)", "correct": true, "input_tokens": 1163, "output_tokens": 120, "elapsed_seconds": 4.028325750026852, "metadata": {"question": "Transcribe all handwritten and printed text exactly as written, reading top to bottom and left to right, and omit nothing; mark only genuinely unreadable words as [illegible]. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9821, "attempts": 1, "retries": 0, "total_seconds": 4.0557}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 1, "image": "0de03edc-15c5-4782-a74b-7cedb1df477b_png.rf.357da74f0ffbbb05467a6069097f2740.jpg", "expected": "(1) 8 + 7 = 15 (9) 17 - 9 = 8\n(2) 15 - 6 = 9 (10) 7 + 9 = 16\n(3) 9 + 4 = 13 (11) 14 - 8 = 6\n(4) 13 - 5 = 8 (12) 5 + 6 = 11\n(5) 6 + 8 = 14 (13) 16 - 7 = 9\n(6) 5 + 9 = 14 (14) 3 + 7 = 10", "predicted": "(1) 8 + 7 = 15 (9) 17 - 9 = 8\n(2) 15 - 6 = 9 (10) 7 + 9 = 16\n(3) 9 + 4 = 13 (11) 14 - 8 = 6\n(4) 13 - 5 = 8 (12) 5 + 6 = 11\n(5) 6 + 8 = 14 (13) 16 - 7 = 9\n(6) 5 + 9 = 14 (14) 3 + 7 = 10", "correct": true, "input_tokens": 1178, "output_tokens": 158, "elapsed_seconds": 4.077229875023477, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 1.0, "attempts": 1, "retries": 0, "total_seconds": 4.0916}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 2, "image": "861cb64d-800a-4635-999c-739199f8b473_png.rf.2dfcae9315498e5af9851962b9b1b65d.jpg", "expected": "2516 Country Club Rd.\nWinston Salem NC 27104\nJuly 17, 1981\n\nDr T S Osdene\nDirector of Research and Scientific Affairs\nPHILIP MORRIS USA\nResearch Center\nP.O Box 26583\nRichmond VA 23261\n\nDear Tom \u2014\n\nRe MDA NO/NOx Field Kit\n\nMDA requires prepayment before shipment\nof materials to private individuals. Accordingly\nI mailed check for $2505.00 for Kit yesterday.\nCopies for verification are enclosed. I presume\nthis will suffice to reimburse me.\n\nAs soon as MDA receives check, presumably\nJuly 20, Kit will be shipped to me by UPS and\nI will immediately trans ship by UPS to\nyou.\n\nCongrats on the birth of your son. Best wishes\nto Mrs Osdene and you.\n\n\u03a6000018736\n\nSincerely\nMurray", "predicted": "2516 Country Club Rd.\nWinston Salem NC 27104\nJuly 17, 1981\n\nDr T S Osdene\nDirector of Research and Scientific Affairs\nPHILIP MORRIS USA\nResearch Center\nP.O Box 26583\nRichmond VA 23261\n\nDear Tom -\n\nRe MDA NO/NOx Field Kit\n\nMDA requires prepayment before shipment\nof materials to private individuals. Accordingly\nI mailed check for $2505 00 for kit yesterday.\nCopies for verification are enclosed. I presume\nthis will suffice to reimburse me.\nAs soon as MDA receives check, presumably\nJuly 20, kit will be shipped to me by UPS and\nI will immediately trans ship by UPS to\nyou.\nCongrats on the birth of your son. Best wishes\nto Mrs Osdene and you. 1000018736\n\nSincerely\nMurray", "correct": true, "input_tokens": 1161, "output_tokens": 207, "elapsed_seconds": 4.1980841249460354, "metadata": {"question": "Transcribe all handwritten and printed text exactly as written, reading top to bottom and left to right, and omit nothing; mark only genuinely unreadable words as [illegible]. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9867, "attempts": 1, "retries": 0, "total_seconds": 4.2153}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 3, "image": "bfe2208e-9dcb-4273-9781-be20d0ae766a_png.rf.2506b1cf22374cc1de2823bf766ef968.jpg", "expected": "Ent 103326 Bk 331 Pg 470\nDate: 20-JUN-2006 2:28PM\nORDINANCE NO. CO-06-5 Fee: None\nFiled By: AKT\nBRENDA NELSON, Recorder\nMORGAN COUNTY\nAN ORDINANCE ADOPTING THE STATE WILDLIFE RESOURCES CODE\nFOR MORGAN COUNTY.\n\nWHEREAS, the Morgan County Sheriff's Office is charged with the enforcement of\nregulations and laws relating to wildlife resources within Morgan County; and\n\nWHEREAS, in the course of the Sheriff's enforcement duties it is often necessary to cite\nindividuals for violations of the various state rules regulating wildlife resources; and\n\nWHEREAS, Morgan County would like to cite violators for county ordinance violations\nrather than state code violations since violators are processed by county enforcement officers,\nprosecuted in county courts by county prosecutors, and incarcerated, if necessary, in county jails;\n\nNOW THEREFOR, the County Council of Morgan County, State of Utah, hereby\nordains as follows:\n\nWILDLIFE RESOURCES ORDINANCE\n\nSection 1. Adoption of the Utah wildlife resources Code, Rules and Regulations\n\nThe Rules and Regulations contained in Utah Code Annotated Title 23, as amended, and the\nRules promulgated thereunder, are hereby adopted as the wildlife resources Code, Rules and\nRegulations of Morgan County. Any provisions of Title 23 providing a penalty greater than a\nClass B misdemeanor, or not relating to criminal or administrative sanctions, are not incorporated\nas part of this ordinance.\n\nSection 2. Amendments\n\nIn order to assure continuing uniformity between the Utah wildlife resources Rules and\nRegulations and the Morgan County wildlife resources Rules and Regulations, this Ordinance\nwill include any and all periodic amendments to the State Rules and Regulations, Title 23, after\nthe effective date of this title, made by the Utah State Legislature or by the Utah Department of\nNatural Resources.\n\nSection 3. Effective Date\n\nThis ordinance shall take effect 15 days after passage, after required publication and after a copy\nof the ordinance is deposited with the Morgan County Clerk's Office.\n\nAPPROVED, ADOPTED, AND PASSED and ordered published by the Morgan County\nCouncil, this 6th day of June, 2006.", "predicted": "Ent 103326 Bk 231 Pg 470\nDate: 20-JUN-2006 2:28PM\nORDINANCE NO. CO-06-11 Fee: None\nFiled By: AKT\nBRENDA NELSON, Recorder\nAN ORDINANCE ADOPTING THE STATE WILDLIFE RESOURCES CODE\nMORGAN COUNTY\nFOR MORGAN COUNTY. FOR: MORGAN COUNTY\n\nWHEREAS, the Morgan County Sheriff's Office is charged with the enforcement of\nregulations and laws relating to wildlife resources within Morgan County; and\n\nWHEREAS, in the course of the Sheriff's enforcement duties it is often necessary to cite\nindividuals for violations of the various state rules regulating wildlife resources; and\n\nWHEREAS, Morgan County would like to cite violators for county ordinance violations\nrather than state code violations since violators are processed by county enforcement officers,\nprosecuted in county courts by county prosecutors, and incarcerated, if necessary, in county jails;\n\nNOW THEREFOR, the County Council of Morgan County, State of Utah, hereby\nordains as follows:\n\nWILDLIFE RESOURCES ORDINANCE\n\nSection 1. Adoption of the Utah wildlife resources Code, Rules and Regulations\n\nThe Rules and Regulations contained in Utah Code Annotated Title 23, as amended, and the\nRules promulgated thereunder, are hereby adopted as the wildlife resources Code, Rules and\nRegulations of Morgan County. Any provisions of Title 23 providing a penalty greater than a\nClass B misdemeanor, or not relating to criminal or administrative sanctions, are not incorporated\nas part of this ordinance.\n\nSection 2. Amendments\n\nIn order to assure continuing uniformity between the Utah wildlife resources Rules and\nRegulations and the Morgan County wildlife resources Rules and Regulations, this Ordinance\nwill include any and all periodic amendments to the State Rules and Regulations, Title 23, after\nthe effective date of this title, made by the Utah State Legislature or by the Utah Department of\nNatural Resources.\n\nSection 3. Effective Date\n\nThis ordinance shall take effect 15 days after passage, after required publication and after a copy\nof the ordinance is deposited with the Morgan County Clerk's Office.\n\nAPPROVED, ADOPTED, AND PASSED and ordered published by the Morgan County\nCouncil, this 6th day of June , 2006.", "correct": true, "input_tokens": 1168, "output_tokens": 481, "elapsed_seconds": 6.104376500006765, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9765, "attempts": 1, "retries": 0, "total_seconds": 6.1354}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 4, "image": "d6b410b8-2381-4e65-8113-2dbcca295990_png.rf.794671b291d105d363ebd6d8d93b3fc8.jpg", "expected": "THIS SENTENCE WAS WRITTEN BY SOMEONE WITH DYSGRAPHIA", "predicted": "THis SENTENCE WAS WRITTEN BY SOM\n EONE WITH Dysgraphia", "correct": false, "input_tokens": 1181, "output_tokens": 19, "elapsed_seconds": 2.1180684589780867, "metadata": {"question": "Transcribe all handwritten and printed text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.7593, "attempts": 1, "retries": 0, "total_seconds": 2.1314}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 5, "image": "9c225ac4-3b44-42cf-a0dc-4a3984c5bac9_png.rf.1455a695dcdb15839a0deb51bf270c04.jpg", "expected": "When I built menugen ~1 year ago, I observed that the hardest part by far was not the code itself, it was the plethora of services you have to assemble like IKEA furniture to make it real, the DevOps: services, payments, auth, database, security, domain names, etc...\n\nI am really looking forward to a day where I could simply tell my agent: \"build menugen\" (referencing the post) and it would just work. The whole thing up to the deployed web page. The agent would have to browse a number of services, read the docs, get all the api keys, make everything work, debug it in dev, and deploy to prod. This is the actually hard part, not the code itself. Or rather, the better way to think about it is that the entire DevOps lifecycle has to become code, in addition to the necessary sensors/actuators of the CLIs/APIs with agent-native ergonomics. And there should be no need to visit web pages, click buttons, or anything like that for the human.\n\nIt's easy to state, it's now just barely technically possible and expected to work maybe, but it definitely requires from-scratch re-design, work and thought. Very exciting direction!", "predicted": "Andrej Karpathy\n@karpathy\n\nWhen I built menugen ~1 year ago, I observed that the hardest part by far was not the code itself, it was the plethora of services you have to assemble like IKEA furniture to make it real, the DevOps: services, payments, auth, database, security, domain names, etc...\n\nI am really looking forward to a day where I could simply tell my agent: \"build menugen\" (referencing the post) and it would just work. The whole thing up to the deployed web page. The agent would have to browse a number of services, read the docs, get all the api keys, make everything work, debug it in dev, and deploy to prod. This is the actually hard part, not the code itself. Or rather, the better way to think about it is that the entire DevOps lifecycle has to become code, in addition to the necessary sensors/actuators of the CLIs/APIs with agent-native ergonomics. And there should be no need to visit web pages, click buttons, or anything like that for the human.\n\nIt's easy to state, it's now just barely technically possible and expected to work maybe, but it definitely requires from-scratch re-design, work and thought. Very exciting direction!\n\u7ffb\u8bd1\u5e16\u5b50", "correct": true, "input_tokens": 1173, "output_tokens": 274, "elapsed_seconds": 4.342675416031852, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom, keeping each author's handle with their message, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the top-level tweet authored by Andrej Karpathy (@karpathy).", "match_method": "similarity", "score": 0.9725, "attempts": 1, "retries": 0, "total_seconds": 4.3566}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 6, "image": "9fdae0ac-7d89-45f1-b628-bcdbac72c185_png.rf.7b62d1c22ac071a0003f46d2feaae5e5.jpg", "expected": "```javascript\nconst BROWSER_APP_NAMES = new Set([\n \"google chrome\",\n \"google chrome canary\",\n \"chromium\",\n \"microsoft edge\",\n \"mozilla firefox\",\n \"firefox\",\n \"opera\",\n \"brave browser\",\n \"vivaldi\",\n \"arc\",\n]);\n```", "predicted": "```javascript\nconst BROWSER_APP_NAMES = new Set([\n \"google chrome\",\n \"google chrome canary\",\n \"chromium\",\n \"microsoft edge\",\n \"mozilla firefox\",\n \"firefox\",\n \"opera\",\n \"brave browser\",\n \"vivaldi\",\n \"arc\",\n]);\n```", "correct": false, "input_tokens": 1219, "output_tokens": 80, "elapsed_seconds": 3.3392935839947313, "metadata": {"question": "Transcribe every piece of text in this screenshot exactly as written, in reading order, and omit nothing. Put source code inside fenced code blocks, preserving indentation, quotes, and casing exactly, and transcribe surrounding interface text as Markdown. Transcribe only the definition of the `BROWSER_APP_NAMES` constant shown in the code editor, and ignore all other code, the editor chrome, file tabs, sidebars, and the terminal.", "match_method": "similarity", "score": 0.9107, "attempts": 1, "retries": 0, "total_seconds": 3.3635}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 7, "image": "5cf55f37-8adb-4adb-9520-148340548028_png.rf.d09a7340877434f1cbdb25f1eccd4774.jpg", "expected": "TOM GREEN HANDYMAN\n5 Any Street, Any City, That Area Code\nTelephone: 0800 XXX XXX\n\nDate : 6/5/2016\nInvoice No : 0003521\nTax Registered No 123456\n\nMr and Mrs Fielding\nThis Address\nThis City\nThis Area Code\n\nTAX INVOICE\n\n
QuantityDescriptionUnit PriceCost
Upgrade to Bathroom
23.75Labour40.00950.00
50Nails and screws0.8040.00
1Paint and Plywood1000.001000.00
40Imported wall tiles14.00560.00
1Freight150.00150.00
1Sub-contractor : Tile-It228.00
Subtotal2928.00
Tax439.20
Total Due$3,367.20
\n\nPayment due by the 10th of the month following the date of invoice.\nPlease make payment into Bank Account No. 12 3456 789112 012\n\nInterest of 10% per year will be charged on late payments.\n\nCut here\n\nRemittance\n\nMr and Mrs Fielding\n\nTOM GREEN HANDYMAN\n5 Any Street\nAny City\nThat Area Code\n\nAmount Due $3,367.20\nAmount Paid ______", "predicted": "**TOM GREEN HANDYMAN**\n**5 Any Street, Any City, That Area Code**\n**Telephone: 0800 XXX XXX**\n\n**Date :** 6/5/2016 **Invoice No :** 0003521\n\n**Tax Registered No 123456**\n\nMr and Mrs Fielding\nThis Address\nThis City\nThis Area Code\n\n**T A X I N V O I C E**\n\n
QuantityDescriptionUnit PriceCost
Upgrade to Bathroom
23.75Labour40.00950.00
50Nails and screws0.8040.00
1Paint and Plywood1000.001000.00
40Imported wall tiles14.00560.00
1Freight150.00150.00
1Sub-contractor : Tile-It228.00
Subtotal2928.00
Tax439.20
Total Due$3,367.20
\n\nPayment due by the 10th of the month following the date of invoice.\nPlease make payment into Bank Account No. **12 3456 789112 012**\n\nInterest of 10% per year will be charged on late payments.\n\n---\n**Cut here**\n**Remittance**\n**Mr and Mrs Fielding**\n\nTOM GREEN HANDYMAN\n5 Any Street **Amount Due $3,367.20**\nAny City\nThat Area Code **Amount Paid** \\_\\_\\_\\_\\_\\_\\_\\_\\_\\_", "correct": false, "input_tokens": 1194, "output_tokens": 473, "elapsed_seconds": 6.304473584052175, "metadata": {"question": "Transcribe all text in this document exactly and completely, in reading order, preserving casing, punctuation, currency symbols, and codes. Use an HTML table only for genuinely tabular content, mirroring its rows, columns, and merged cells; write the HTML on single lines with no indentation or blank lines between tags, and collapse horizontal alignment to a single space.", "match_method": "similarity", "score": 0.867, "attempts": 1, "retries": 0, "total_seconds": 6.3179}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 8, "image": "1bce4a54-e6bc-4752-b48e-d9889895936a_png.rf.6f12b4139eeac41161f2fb59dad48237.jpg", "expected": "I run hermes handling whatsapp, email, cron jobs, building apps, outreaching customers, outbound and inbound calls \u2014 the whole thing. hasn't needed babysitting in weeks. if you're on the fence just try it. worst case you go back. but I don't think you will", "predicted": "Falcon @Falconve_ \u00b7 6\u5c0f\u65f6\nI run hermes handling whatsapp, email, cron jobs, building apps, outreaching customers, outbound and inbound calls \u2014 the whole thing. hasn't needed babysitting in weeks. if you're on the fence just try it. worst case you go back. but I don't think you will", "correct": false, "input_tokens": 1159, "output_tokens": 76, "elapsed_seconds": 4.769513541017659, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom, keeping each author's handle with their message, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the last (bottom-most) tweet in the thread by Falcon (@Falconve_).", "match_method": "similarity", "score": 0.9143, "attempts": 1, "retries": 0, "total_seconds": 4.8013}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 9, "image": "eb592312-33c0-41ff-91ec-6e87ad25f12e_png.rf.ad80ac2d57c33733bd20600e13e312f3.jpg", "expected": "(SAE09TR.72) A 13-year-old girl sustained an isolated midshaft left femoral fracture in a motor vehicle accident. The fracture was treated with a rigid, antegrade intramedullary nail placed through the piriformis fossa. The fracture healed uneventfully, as shown in Figure 46a; however, at 12 months postoperatively she now reports left hip pain. A current AP radiograph and MRI scan are shown in Figures 46b and 46c. What complication occurred in this patient? Review Topic\n\n1 Chondrolysis\n2 Ischemic necrosis of the femoral head\n3 Ischemic necrosis of the greater trochanter\n4 Femoral neck fracture\n5 Trochanteric overgrowth\n\nPREFERRED RESPONSE 2\n\nThe development of femoral head ischemic necrosis is the iatrogenically created complication in this skeletally immature patient. Placement of a rigid, antegrade intramedullary nail through the piriformis fossa is likely to damage the vascular supply to the femoral head as the vessels ascend the femoral neck on the way to the femoral head. The MRI scan reveals ischemic necrosis with early collapse of the femoral head. The joint space is preserved on the MRI scan, ruling out chondrolysis.\n\n(SAE08OS.196) An adult patient has had low-grade fevers, malaise, and joint pain for the past several days. Examination reveals an erythematous \"bulls eye\" rash over the right thigh (erythema migrans). What is the organism associated with this infection? Review Topic", "predicted": "(SAE09TR.72) A 13-year-old girl sustained an isolated midshaft left femoral fracture in a motor vehicle accident. The fracture was treated with a rigid, antegrade intramedullary nail placed through the piriformis fossa. The fracture healed uneventfully, as shown in Figure 46a; however, at 12 months postoperatively she now reports left hip pain. A current AP radiograph and MRI scan are shown in Figures 46b and 46c. What complication occurred in this patient? Review Topic\n\n*1* Chondrolysis\n*2* Ischemic necrosis of the femoral head\n*3* Ischemic necrosis of the greater trochanter\n*4* Femoral neck fracture\n*5* Trochanteric overgrowth\n\n\nPREFERRED RESPONSE 2\n\nThe development of femoral head ischemic necrosis is the iatrogenically created complication in this skeletally immature patient. Placement of a rigid, antegrade intramedullary nail through the piriformis fossa is likely to damage the vascular supply to the femoral head as the vessels ascend the femoral neck on the way to the femoral head. The MRI scan reveals ischemic necrosis with early collapse of the femoral head. The joint space is preserved on the MRI scan, ruling out chondrolysis.\n\n\n(SAE08OS.196) An adult patient has had low-grade fevers, malaise, and joint pain for the past several days. Examination reveals an erythematous \"bulls eye\" rash over the right thigh (erythema migrans). What is the organism associated with this infection? Review Topic", "correct": true, "input_tokens": 1169, "output_tokens": 334, "elapsed_seconds": 4.654788332991302, "metadata": {"question": "Transcribe every piece of text in this image exactly as written, in reading order, preserving question and option numbering, and omit nothing. Write mathematical expressions in LaTeX and format the result as Markdown that mirrors the layout.", "match_method": "similarity", "score": 0.9916, "attempts": 1, "retries": 0, "total_seconds": 4.6886}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 10, "image": "c50bed4d-e825-46b7-ac5c-a84806fa0481_png.rf.dbad52cae24c6759d646ebb0ad6c30a3.jpg", "expected": "```python\nimport random\n\ndef roll_dice(n=2, sides=6):\n return [random.randint(1, sides) for _ in range(n)]\n\ndef magic_8ball():\n responses = [\n \"Yes\", \"No\", \"Maybe\", \"Ask again later\",\n \"Absolutely\", \"No way\", \"Signs point to yes\",\n \"Don't count on it\", \"Without a doubt\",\n ]\n return random.choice(responses)\n\nif __name__ == \"__main__\":\n print(f\"Rolling 2 dice: {roll_dice()}\")\n print(f\"Magic 8-Ball says: {magic_8ball()}\")\n print(f\"Your lucky number: {random.randint(1, 100)}\")\n```", "predicted": "```python\nimport random\n\ndef roll_dice(n=2, sides=6):\n return [random.randint(1, sides) for _ in range(n)]\n\ndef magic_8ball():\n responses = [\n \"Yes\", \"No\", \"Maybe\", \"Ask again later\",\n \"Absolutely\", \"No way\", \"Signs point to yes\",\n \"Don't count on it\", \"Without a doubt\",\n ]\n return random.choice(responses)\n\nif __name__ == \"__main__\":\n print(f\"Rolling 2 dice: {roll_dice()}\")\n print(f\"Magic 8-Ball says: {magic_8ball()}\")\n print(f\"Your lucky number: {random.randint(1, 100)}\")\n```", "correct": true, "input_tokens": 1171, "output_tokens": 180, "elapsed_seconds": 5.181234374991618, "metadata": {"question": "Transcribe every piece of text in this screenshot exactly as written, in reading order, and omit nothing. Put source code inside fenced code blocks, preserving indentation, quotes, and casing exactly, and transcribe surrounding interface text as Markdown. Transcribe only the code shown in the editor pane, ignoring the editor chrome, file tabs, sidebars, and the line-number gutter.", "match_method": "similarity", "score": 1.0, "attempts": 1, "retries": 0, "total_seconds": 5.2973}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 11, "image": "d0980bab-2f15-4550-b3e6-813a2ad7e709_png.rf.4002baedf14c91e52686c70ec58fd7f0.jpg", "expected": "Example 3 (HW)\nEach of the numbers 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 is written\non a separate piece of paper. The 10 pieces of paper\nare then placed in a hat. If one piece of paper is\nselected at random from hat, estimate the probability\nthat:\n(i) the number written on piece of paper is an even\nnumber or greater than 6.\n(ii) the number written on piece of paper is less than 5\nor greater than 8.\n(iii) the number written on piece of paper is divisible by 4.\n(iv) the \" \" \" \" \" \" \" at least 7.\n(v) \" \" \" \" \" \" \" at most 3.", "predicted": "Example 3 (HW)\nEach of the numbers 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 is written\non a separate piece of paper. The 10 pieces of paper\nare then placed in a hat. If one piece of paper is\nselected at random from hat, estimate the probability\nthat:\n(i) the number written on piece of paper is an even\nnumber or greater than 6.\n(ii) the number written on piece of paper is less than 5\nor greater than 8.\n(iii) the number written on piece of paper is divisible by 4.\n(iv) the \" \" \" \" \" \" \" at least 7.\n(v) CS Scanned with CamScanner\n\" \" \" \" \" \" \" at most 3.", "correct": true, "input_tokens": 1180, "output_tokens": 191, "elapsed_seconds": 4.941334457951598, "metadata": {"question": "Transcribe all handwritten and printed text exactly as written, reading top to bottom and left to right, and omit nothing; mark only genuinely unreadable words as [illegible]. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9505, "attempts": 1, "retries": 0, "total_seconds": 4.999}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 12, "image": "00099ca8-7388-4ccb-a9ae-0def0f38e1d4_png.rf.87454ebaa2a188c18aadac0664ef70f6.jpg", "expected": "I'm losing so much money every single second I dont spend in the states. Every day I wake up, I'm hyperventilating about the fact that I am irresponsibly putting my young family's future at great risk because I can't but help listen to my gut. I am filled with doubt every day", "predicted": "kache @yacineMTB \u00b7 9\u5c0f\u65f6 ...\nI'm losing so much money every single second I dont spend in the states. Every day I wake up, I'm hyperventilating about the fact that I am irresponsibly putting my young family's future at great risk because I can't but help listen to my gut. I am filled with doubt every day\n stainlesssteelcockroach @stainle55446702 \u00b7 10\u5c0f\u65f6\n \u56de\u590d @yacineMTB\n You would like it down south as well. Where engineers are honored as the future.....\n40 1 248 2.5\u4e07", "correct": false, "input_tokens": 1188, "output_tokens": 142, "elapsed_seconds": 3.244001750019379, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom, keeping each author's handle with their message, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the first tweet by kache (@yacineMTB).", "match_method": "similarity", "score": 0.591, "attempts": 1, "retries": 0, "total_seconds": 3.2579}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 13, "image": "838b00ad-2a6d-4bc7-84a3-d3cb3e6fdfb8_png.rf.86b85c55a59bba487946e192adc78406.jpg", "expected": "The French Revolution began in 1789 in France and was caused by several political, social, and economic factors. One major cause was the inequality in the social structure known as the Estates System, where the clergy and nobility enjoyed privileges while the common people had to pay heavy taxes. Another cause was the financial crisis faced by the monarchy due to wars and extravagant spending by Louis XVI and the royal court.\n\nThe influence of Enlightenment thinkers also played a significant role. Philosophers like Jean-Jacques Rousseau and Voltaire promoted ideas of liberty, equality, and popular sovereignty. These ideas encouraged people to question the authority of the monarchy.\n\nThe revolution had major effects on French society and politics. The monarchy was abolished, and France eventually became a republic. The revolution led to the Reign of Terror, during which many people were executed. In the long term, the revolution spread the ideals of liberty, equality, and fraternity across Europe and influenced many future democratic movements.", "predicted": "The French Revolution began in 1789 in France and was caused by several political, social, and economic factors. One major cause was the\ninequality in the social structure known as the Estates System, where the clergy and nobility enjoyed privileges while the common people had\nto pay heavy taxes. Another cause was the financial crisis faced by the monarchy due to wars and extravagant spending by Louis XVI and the\nroyal court.\n\nThe influence of Enlightenment thinkers also played a significant role. Philosophers like Jean-Jacques Rousseau and Voltaire promoted ideas\nof liberty, equality, and popular sovereignty. These ideas encouraged people to question the authority of the monarchy.\n\nThe revolution had major effects on French society and politics. The monarchy was abolished, and France eventually became a republic. The\nrevolution led to the Reign of Terror, during which many people were executed. In the long term, the revolution spread the ideals of\nliberty, equality, and fraternity across Europe and influenced many future democratic movements.", "correct": true, "input_tokens": 1140, "output_tokens": 203, "elapsed_seconds": 3.860842291964218, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9943, "attempts": 1, "retries": 0, "total_seconds": 3.872}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 14, "image": "efe6537c-b164-43c1-8a9b-a329c7b96ec1_png.rf.96d23b9a67c8c503dd57cc8ddb11363b.jpg", "expected": "Clinical Nurse Manager Sep 2012 \u2013 Jul 2014\nBarron Center \u2013 Portland, ME\nManaged nursing operations on a 26-bed skilled rehabilitation unit, ensuring effective clinical care delivery.\n\u2022 Supervised nursing staff performance and provided ongoing competency evaluations.\n\u2022 Developed individualized care plans in collaboration with physicians and rehabilitation teams.\n\u2022 Implemented policies and procedures to meet regulatory and accreditation requirements.\n\nRegistered Nurse, Medical-Surgical Unit (Float Pool) Jun 2012 \u2013 Sep 2012\nMercy Hospital \u2013 Portland, ME\nProvided direct patient care within medical-surgical units, ensuring safe and effective treatment delivery.\n\u2022 Performed comprehensive physical assessments and monitored patient progress.\n\u2022 Administered medications and documented interventions per hospital protocols.\n\u2022 Collaborated with multidisciplinary teams to coordinate and plan care.\n\nEDUCATION, CERTIFICATIONS & LICENSURE\n\nBachelor of Science in Nursing (BSN)\nWestern Governors University, Salt Lake City, UT | Graduated January 2019\n\nAssociate of Science in Nursing (ASN)\nCollege of Nursing and Health Professions, Lewiston, ME | Graduated May 2010\n\nCertifications & Licensure\n\u2022 Registered Nurse (RN License #R057634) \u2013 State of Maine\n\u2022 Basic Life Support (BLS) \u2013 Current through December 2027\n\u2022 Educated in: Accountable Care Organizations (ACOs), Patient-Driven Payment Model (PDPM)\n\u2022 Clinical Systems Proficiency: Cerner / PowerChart, EPIC, Quantum, PointClickCare\n\u2022 Utilization Review Tools: InterQual, NaviHealth, CarePort\n\u2022 Analytics & Administrative Systems: Salesforce, Tableau, Microsoft Excel & PowerPoint, ADP, SAP Concur\n\nSKILLS & ADDITIONAL INFORMATION\n\nTechnical Skills\n\u2022 Clinical Systems & EMRs: Cerner / PowerChart, EPIC, Quantum, PointClickCare\n\u2022 Utilization Management Tools: InterQual, NaviHealth, CarePort\n\u2022 Data & Analytics Platforms: Tableau, Salesforce\n\u2022 Productivity Software: Microsoft Office Suite (Excel, PowerPoint, Word, Outlook)\n\u2022 Administrative Systems: ADP, SAP Concur\n\u2022 Quality & Compliance Tools: Electronic Health Record Audit Systems, Core Measure Review PlatformDedicated and results-\ndriven Recruiter/Talent Acquisition Specialist.\n\nPersonal Strengths\n\u2022 Strong leadership and team mentorship abilities\n\u2022 Critical thinking and complex problem-solving\n\u2022 Effective interdisciplinary communication and collaboration\n\u2022 Process improvement and workflow optimization\n\u2022 Independent and solution-focused decision-making\n\u2022 High attention to detail and documentation accuracy\n\u2022 Adaptable to evolving healthcare technologies and remote environments\n\u2022 Empathetic approach to patient advocacy and care coordination\n\nReferences are available upon request", "predicted": "Clinical Nurse Manager Sep 2012 \u2013 Jul 2014\nBarron Center \u2013 Portland, ME\nManaged nursing operations on a 26-bed skilled rehabilitation unit, ensuring effective clinical care delivery.\n \u2022 Supervised nursing staff performance and provided ongoing competency evaluations.\n \u2022 Developed individualized care plans in collaboration with physicians and rehabilitation teams.\n \u2022 Implemented policies and procedures to meet regulatory and accreditation requirements.\n\nRegistered Nurse, Medical-Surgical Unit (Float Pool) Jun 2012 \u2013 Sep 2012\nMercy Hospital \u2013 Portland, ME\nProvided direct patient care within medical-surgical units, ensuring safe and effective treatment delivery.\n \u2022 Performed comprehensive physical assessments and monitored patient progress.\n \u2022 Administered medications and documented interventions per hospital protocols.\n \u2022 Collaborated with multidisciplinary teams to coordinate and plan care.\n\nEDUCATION, CERTIFICATIONS & LICENSURE\n\nBachelor of Science in Nursing (BSN)\nWestern Governors University, Salt Lake City, UT | Graduated January 2019\n\nAssociate of Science in Nursing (ASN)\nCollege of Nursing and Health Professions, Lewiston, ME | Graduated May 2010\n\nCertifications & Licensure\n \u2022 Registered Nurse (RN License #R057634) \u2013 State of Maine\n \u2022 Basic Life Support (BLS) \u2013 Current through December 2027\n \u2022 Educated in: Accountable Care Organizations (ACOs), Patient-Driven Payment Model (PDPM)\n \u2022 Clinical Systems Proficiency: Cerner / PowerChart, EPIC, Quantum, PointClickCare\n \u2022 Utilization Review Tools: InterQual, NaviHealth, CarePort\n \u2022 Analytics & Administrative Systems: Salesforce, Tableau, Microsoft Excel & PowerPoint, ADP, SAP Concur\n\nSKILLS & ADDITIONAL INFORMATION\n\nTechnical Skills\n \u2022 Clinical Systems & EMRs: Cerner / PowerChart, EPIC, Quantum, PointClickCare\n \u2022 Utilization Management Tools: InterQual, NaviHealth, CarePort\n \u2022 Data & Analytics Platforms: Tableau, Salesforce\n \u2022 Productivity Software: Microsoft Office Suite (Excel, PowerPoint, Word, Outlook)\n \u2022 Administrative Systems: ADP, SAP Concur\n \u2022 Quality & Compliance Tools: Electronic Health Record Audit Systems, Core Measure Review PlatformDedicated and results-\n driven Recruiter/Talent Acquisition Specialist.\n\nPersonal Strengths\n \u2022 Strong leadership and team mentorship abilities\n \u2022 Critical thinking and complex problem-solving\n \u2022 Effective interdisciplinary communication and collaboration\n \u2022 Process improvement and workflow optimization\n \u2022 Independent and solution-focused decision-making\n \u2022 High attention to detail and documentation accuracy\n \u2022 Adaptable to evolving healthcare technologies and remote environments\n \u2022 Empathetic approach to patient advocacy and care coordination\n\nReferences are available upon request", "correct": true, "input_tokens": 1178, "output_tokens": 557, "elapsed_seconds": 6.045639958931133, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9901, "attempts": 1, "retries": 0, "total_seconds": 6.0632}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 15, "image": "e21e8de4-67cb-4b99-acaf-7c73dc28df9f_png.rf.c9c271f7c9fe67f7186ee45aebf42a40.jpg", "expected": "ACS PLUS\n\nADVERTISING COMMUNICATION SERVICES\n\nBloc 17 App 233 1003 Cit\u00e9 les Olympiades\n\nTEL 71 771 324 FAX 71 770 682\n\nCode TVA1243006M/A/M/000\n\nEmail: acs.info@topnet.tn\n\nDEVIS N\u00b0 89-24\n\nClient: IEEE\n\nCode TVA:\n\nAdresse:\n\nT\u00e9l: Fax:\n\nTunis le 12/04/24\n\nCCB : 03210119011500465159A BNA KHERREDINE PACHA\n\n
R\u00e9f\u00e9renceD\u00e9signationQuantit\u00e9P. U.T.V.A.P.H.T.
Rollup 2 x 0,851170.00019%170.000
Pins1201.40019%168.000
Affiche A4 120 g impression R/V301.00019%30.000
Total H.T.368.000
Remise
Total HT368.000
\n\n
Total T.V.A. 10%
Total T.V.A. 7%
Total T.V.A. 19%69.920
Total T.V.A. 29%
Timbre Fiscal1.000
Total T.T.C.438.920
\n\n,\n\nArr\u00eat\u00e9 le pr\u00e9sent devis \u00e0 la somme de:\n\nDIRECTION COMMERCIALE", "predicted": "**ACS PLUS**\nADVERTISING COMMUNICATION SERVICES\nBloc 17 App 233 1003 Cit\u00e9 les Olympiades\nTEL 71 771 324 FAX 71 770 682\nCode TVA1243006M/A/M/000\nEmail: acs.info@topnet.tn\n\n*DEVIS N\u00b0 89-24*\n\nClient: **IEEE**\nCode TVA:\nAdresse:\nT\u00e9l: Fax:\n\nTunis le 12/04/24\n\nCCB : 03210119011500465159A BNA KHERREDINE PACHA\n\n
R\u00e9f\u00e9renceD\u00e9signationQuantit\u00e9P. U.T.V.A.P.H.T.
Rollup 2 x 0,851170.00019%170.000
Pins1201.40019%168.000
Affiche A4 120 g impression R/V301.00019%30.000
\n\n
Total H.T.368.000
Remise
Total HT368.000
Total T.V.A. 10%
Total T.V.A. 7%
Total T.V.A. 19%69.920
Total T.V.A. 29%
Timbre Fiscal1.000
Total T.T.C.438.920
\n\n'\nArr\u00eat\u00e9 le pr\u00e9sent devis \u00e0 la somme de:\n\nDIRECTION COMMERCIALE", "correct": false, "input_tokens": 1194, "output_tokens": 501, "elapsed_seconds": 6.135292208055034, "metadata": {"question": "Transcribe all text in this document exactly and completely, in reading order, preserving casing, punctuation, currency symbols, and codes. Use an HTML table only for genuinely tabular content, mirroring its rows, columns, and merged cells; write the HTML on single lines with no indentation or blank lines between tags, and collapse horizontal alignment to a single space.", "match_method": "similarity", "score": 0.8849, "attempts": 1, "retries": 0, "total_seconds": 6.1424}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 16, "image": "280f2634-897d-499e-9e0e-2426fb6ed193_png.rf.de84ffe2f1cd78e0c4f16f319320c449.jpg", "expected": "Deloitte.\n\nDeloitte Touche Tohmatsu\nIndia LLP\nPrestige Trade Tower, Level 19\n46, Palace Road, High Grounds\nBengaluru - 560 001\nKarnataka, India\n\nTel: +91 80 6188 6000\nFax: +91 80 6188 6011\nwww.deloitte.com\n\nStrictly Private and Confidential\n\nDate: 8 July, 2025\n\nFlipkart Internet Private Limited\nAlyssa Begonia and Clover,\nEmbassy Tech Village ORR,\nDevarabeesanahalli Village,\nVarthur Hobli, Bangalore - 560103, Karnataka\n\nKind Attention: Mr. Kamal Chopra\n\nDear Sir,\n\nRe: Indirect Tax Services \u2013 Engagement Letter\n\nWe thank you for giving an opportunity to Deloitte Touche Tohmatsu India LLP (\u201cDTTI LLP\u201d or \u201cService Provider\u201d) to assist FLIPKART INTERNET PRIVATE LIMITED (\u201cClient\u201d/\u201dFKN\u201d/\u201dCompany\u201d) in Indirect tax services (\u201cServices\u201d) for the benefit of the Client and the subsidiaries and/or Affiliates of the Client as specified in Annexure-2.\n\n(The identified subsidiaries and Affiliates in Annexure-2 together with the Client, are hereinafter collectively referred to as \u201cBeneficiary/(ies)\u201d). The Services will be provided in accordance with and subject to the provisions of this engagement letter (including any Work Orders/Statement of Work and Annexures 1, 2, 3, 4, 5 and 6 hereto) (\u201cEngagement Letter\u201d) and the Standard Tax Terms attached hereto (the Engagement Letter and Standard Tax Terms hereinafter are collectively referred to as collectively \u201cContract\u201d).\n\n1. BACKGROUND\n\n1.1 Flipkart Internet Private Limited is a company which owns the E-commerce portal \u201cFlipkart.com\u201d. It functions as a marketplace wherein various business entities can list their products in the website in return to a fee charged to use its portal.\n\n1.2 We further understand that the company receives revenue through payment gateway services, hosting services, advertisement services, etc and is also engaged in fulfilment services rendered to the sellers listed on the website.\n\n1.3 We would be glad to provide assistance, more specifically described in below paragraph(s).", "predicted": "Deloitte.\n\nDeloitte Touche Tohmatsu\nIndia LLP\nPrestige Trade Tower, Level 19\n46, Palace Road, High Grounds\nBengaluru - 560 001\nKarnataka, India\n\nTel: +91 80 6188 6000\nFax: +91 80 6188 6011\nwww.deloitte.com\n\nStrictly Private and Confidential\n\nDate: 8 July, 2025\n\nFlipkart Internet Private Limited\nAlyssa Begonia and Clover,\nEmbassy Tech Village ORR,\nDevarabeesanahalli Village,\nVarthur Hobli, Bangalore - 560103, Karnataka\n\nKind Attention: Mr. Kamal Chopra\n\nDear Sir,\n\nRe: Indirect Tax Services \u2013 Engagement Letter\n\nWe thank you for giving an opportunity to Deloitte Touche Tohmatsu India LLP (\"DTTI LLP\" or \"Service Provider\") to assist FLIPKART INTERNET PRIVATE LIMITED (\"Client\"/\"FKN\"/\"Company\") in Indirect tax services (\"Services\") for the benefit of the Client and the subsidiaries and/or Affiliates of the Client as specified in Annexure-2.\n\n(The identified subsidiaries and Affiliates in Annexure-2 together with the Client, are hereinafter collectively referred to as \"Beneficiary/(ies)\"). The Services will be provided in accordance with and subject to the provisions of this engagement letter (including any Work Orders/Statement of Work and Annexures 1, 2, 3, 4, 5 and 6 hereto) (\"Engagement Letter\") and the Standard Tax Terms attached hereto (the Engagement Letter and Standard Tax Terms hereinafter are collectively referred to as collectively \"Contract\").\n\n1. BACKGROUND\n\n1.1 Flipkart Internet Private Limited is a company which owns the E-commerce portal \"Flipkart.com\". It functions as a marketplace wherein various business entities can list their products in the website in return to a fee charged to use its portal.\n\n1.2 We further understand that the company receives revenue through payment gateway services, hosting services, advertisement services, etc and is also engaged in fulfilment services rendered to the sellers listed on the website.\n\n1.3 We would be glad to provide assistance, more specifically described in below paragraph(s).\n\nMamatha", "correct": true, "input_tokens": 1161, "output_tokens": 481, "elapsed_seconds": 5.954838957986794, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9853, "attempts": 1, "retries": 0, "total_seconds": 5.9899}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 17, "image": "93441566-50c0-4bfb-9a31-437a2bc5e4f2_png.rf.cd5bf1f53754c220ec912b1c44ade759.jpg", "expected": "2\n3000\nCOUNTER +2000\nActivate:Main Once Per Turn You may add 1 card from your Life area to your hand: This Character gains +2000 power during this turn. Then, give this Character up to 2 rested DON!! cards.\nCHARACTER\nSanji\nStraw Hat Crew\nOP01-013", "predicted": "2 3000 \u6253\nSTRIKE\nCOUNTER +2000\nActivate:Main Once Per Turn You may add 1 card from\nyour Life area to your hand: This Character gains +2000\npower during this turn. Then, give this Character up to 2\nrested DON!! cards.\nCHARACTER\nSanji\nStraw Hat Crew OP01-013 R 1\n\u00a9E.O./S \u00a9E.O./S., T.A. BANDAI MADE IN JAPAN", "correct": false, "input_tokens": 1178, "output_tokens": 115, "elapsed_seconds": 3.651270459056832, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.7954, "attempts": 1, "retries": 0, "total_seconds": 3.664}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 18, "image": "2e43ea51-fc34-4d42-8b0f-66b2172d81f7_png.rf.345ac976ac43b542da24279e8683876b.jpg", "expected": "Q.5\n\nLet $L_1$ be the line of intersection of the planes given by the equations\n\n$$2x + 3y + z = 4 \\quad \\text{and} \\quad x + 2y + z = 5.$$\n\nLet $L_2$ be the line passing through the point $P(2, -1, 3)$ and parallel to $L_1$. Let $M$ denote the plane given by the equation\n\n$$2x + y - 2z = 6.$$\n\nSuppose that the line $L_2$ meets the plane $M$ at the point $Q$. Let $R$ be the foot of the perpendicular drawn from $P$ to the plane $M$ .\n\nThen which of the following statements is (are) TRUE?\n\n| | |\n|---|---|\n| (A) | The length of the line segment $PQ$ is $9\\sqrt{3}$ |\n| (B) | The length of the line segment $QR$ is $15$ |\n| (C) | The area of $\\triangle PQR$ is $\\dfrac{3}{2}\\sqrt{234}$ |\n| (D) | The acute angle between the line segments $PQ$ and $PR$ is $\\cos^{-1}\\left(\\dfrac{1}{2\\sqrt{3}}\\right)$ |\n\nAnswer: A, C\n\n3/9", "predicted": "Q.5 Let $L_1$ be the line of intersection of the planes given by the equations\n\n$$2x + 3y + z = 4 \\text{ and } x + 2y + z = 5.$$\n\nLet $L_2$ be the line passing through the point $P(2, -1, 3)$ and parallel to $L_1$. Let $M$ denote the plane given by the equation\n\n$$2x + y - 2z = 6.$$\n\nSuppose that the line $L_2$ meets the plane $M$ at the point $Q$. Let $R$ be the foot of the perpendicular drawn from $P$ to the plane $M$.\n\nThen which of the following statements is (are) TRUE?\n\n| | |\n| :--- | :--- |\n| (A) | The length of the line segment $PQ$ is $9\\sqrt{3}$ |\n| (B) | The length of the line segment $QR$ is $15$ |\n| (C) | The area of $\\Delta PQR$ is $\\frac{3}{2}\\sqrt{234}$ |\n| (D) | The acute angle between the line segments $PQ$ and $PR$ is $\\cos^{-1}\\left(\\frac{1}{2\\sqrt{3}}\\right)$ |\n\n**Answer: A, C**\n\n---\n
3/9
", "correct": false, "input_tokens": 1184, "output_tokens": 314, "elapsed_seconds": 4.654287124983966, "metadata": {"question": "Transcribe every piece of text in this image exactly as written, in reading order, preserving question and option numbering, and omit nothing. Write mathematical expressions in LaTeX and format the result as Markdown that mirrors the layout.", "match_method": "similarity", "score": 0.923, "attempts": 1, "retries": 0, "total_seconds": 4.6683}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 19, "image": "8b690a3e-b9cd-48e1-a323-981e43142145_png.rf.84216f941b59ba17963217ea5bea26e9.jpg", "expected": "Question 37:\nConsider a system with six I/O-bound processes and one CPU-bound process. Each I/O-bound process executes for 1 ms before blocking for a 12 ms I/O operation. The context-switch overhead is 0.1 ms.\nUsing Round-Robin scheduling:\na. Time quantum = 1 ms\nb. Time quantum = 6 ms\nFor each case:\n\u2022 Draw the execution timeline.\n\u2022 Determine the average waiting time of the CPU-bound process.\n\u2022 Explain how the choice of quantum affects waiting time.\n\nQuestion 38:\nConsider a system with twelve I/O-bound tasks and one CPU-bound task. Each I/O-bound task runs for 1 ms before performing an 8 ms I/O operation.\nUsing Round-Robin scheduling:\na. Time quantum = 1 ms\nb. Time quantum = 4 ms\nFor each case:\n\u2022 Show the sequence of process execution.\n\u2022 Determine the average number of processes in the ready queue.\n\u2022 Explain how the quantum affects queue length.\n\nQuestion 39:\nConsider a system with eight I/O-bound tasks and two CPU-bound tasks. Each I/O-bound task requests an I/O operation after every 2 ms of CPU execution. Each I/O operation requires 12 ms. Using Round-Robin scheduling:\na. Time quantum = 2 ms\nb. Time quantum = 8 ms\nDetermine:\n\u2022 CPU utilization.\n\u2022 I/O device utilization.\n\u2022 Periods when the I/O device is idle.", "predicted": "Question 37:\nConsider a system with six I/O-bound processes and one CPU-bound process. Each I/O-bound\nprocess executes for 1 ms before blocking for a 12 ms I/O operation. The context-switch\noverhead is 0.1 ms.\nUsing Round-Robin scheduling:\n a. Time quantum = 1 ms\n b. Time quantum = 6 ms\nFor each case:\n \u2022 Draw the execution timeline.\n \u2022 Determine the average waiting time of the CPU-bound process.\n \u2022 Explain how the choice of quantum affects waiting time.\n\nQuestion 38:\nConsider a system with twelve I/O-bound tasks and one CPU-bound task. Each I/O-bound task\nruns for 1 ms before performing an 8 ms I/O operation.\nUsing Round-Robin scheduling:\n a. Time quantum = 1 ms\n b. Time quantum = 4 ms\nFor each case:\n \u2022 Show the sequence of process execution.\n \u2022 Determine the average number of processes in the ready queue.\n \u2022 Explain how the quantum affects queue length.\n\nQuestion 39:\nConsider a system with eight I/O-bound tasks and two CPU-bound tasks. Each I/O-bound task\nrequests an I/O operation after every 2 ms of CPU execution. Each I/O operation requires 12\nms. Using Round-Robin scheduling:\n a. Time quantum = 2 ms\n b. Time quantum = 8 ms\nDetermine:\n \u2022 CPU utilization.\n \u2022 I/O device utilization.\n \u2022 Periods when the I/O device is idle.", "correct": false, "input_tokens": 1162, "output_tokens": 368, "elapsed_seconds": 5.163906500092708, "metadata": {"question": "Transcribe every piece of text in this image exactly as written, in reading order, preserving question and option numbering, and omit nothing. Output as plain text but preserve the visual structure. Do not add any extra markdown styling.", "match_method": "similarity", "score": 0.9495, "attempts": 1, "retries": 0, "total_seconds": 5.1743}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 20, "image": "056e17c9-9b46-496a-9cf8-c1b54bd73216_png.rf.ad6da03e5299b085ff446174b8c6cc4b.jpg", "expected": "```python\nclass Snapshot(BaseModel):\n pageIndex: int = 1\n stateId: str # computed by extension\n interactive: List[InteractiveElement] = Field(default_factory=list)\n extracted: Optional[ExtractedCard] = None\n ts_ms: int\n```", "predicted": "```python\nclass Snapshot(BaseModel):\n pageIndex: int = 1\n stateId: str # computed by extension\n interactive: List[InteractiveElement] = Field(default_factory=list)\n extracted: Optional[ExtractedCard] = None\n ts_ms: int\n```", "correct": true, "input_tokens": 1200, "output_tokens": 71, "elapsed_seconds": 3.6073927499819547, "metadata": {"question": "Transcribe every piece of text in this screenshot exactly as written, in reading order, and omit nothing. Put source code inside fenced code blocks, preserving indentation, quotes, and casing exactly, and transcribe surrounding interface text as Markdown. Transcribe only the complete definition of the `Snapshot` class exactly as it appears in the code editor, including the class line and all its fields, and ignore all other code, editor chrome, file tabs, sidebars, and the terminal.", "match_method": "similarity", "score": 1.0, "attempts": 1, "retries": 0, "total_seconds": 3.6463}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 21, "image": "0f7a1b1b-b0f9-4dba-9659-0455701b7a3f_png.rf.a006d974af16d067a2ee124fe9e15f3f.jpg", "expected": "Department of Computer Science and Engineering\nFaculty of Technology & Engineering\nThe M. S. University of Baroda, Vadodara\nS.S BE IV CSE (______)\n\nINDUSTRY PROJECT EVALUATION FORM\n\nName of the Student : Raval Sumit Bharatbhai\nName of Project Guide : Sukhvala Prit Hasmukhbhai\nTitle / Designation : Jr. Salesforce Developer\nEmail of Project Guide : sukhvalaps@gmail.com\nAddress of the Organization : Dev Arcade, U3, Eru Char Rasta, Vejalpore, Jalalpore, Eroo, Navsari, Gujarat-396450\nContact No. : 98751 62607\n\n(Indicate your choice by tick a (\u2713) mark):\n\nHighest-----------------------------------------------------------------Lowest\n\n
Attributes of ObservancePO54321
1Punctuality/ RegularityPO8\u2713
2Sincerity in LearningPO12\u2713
3Enthusiasm to use new technological toolsPO5\u2713
4Team Spirit: Relationship with Team MembersPO9\u2713
5Technical/Programming SkillsPO1\u2713
6Societal Impact of ProjectPO7\u2713
7InnovationPO1,PO5\u2713
8Knowledge of Algorithm OptimizationPO1,PO4\u2713
9Problem Solving AbilityPO2\u2713
10Project Management/Leadership Skills: Taking responsibilitiesPO11\u2713
11Communication SkillsPO10\u2713
12Implementing InstructionsPO3\u2713
13Achievement of DeadlinesPO11\u2713
14Follows Sustainable Development practices in day to day work and project workPO6\u2713
15Overall Performance, Behavior and AttitudePO8\u2713
\n\nPage 1 of 2", "predicted": "Department of Computer Science and Engineering\nFaculty of Technology & Engineering\nThe M. S. University of Baroda, Vadodara\nS.S BE IV CSE ( )\n\nINDUSTRY PROJECT EVALUATION FORM\n\n
Name of the Student: Raval Sumit Bharatbhai
Name of Project Guide: Sukhvala Prit Hasmukhbhai
Title / Designation: Jr. Salesforce Developer
Email of Project Guide: sukhvalaps@gmail.com
Address of the Organization: Dev Arcade, U3, Eru Char Rasta,
Vejalpore, Jalapore, Eroo, Navsari,
Contact No.: 98751 62607 Gujarat-396450
\n\n(Indicate your choice by tick a (\u221a) mark):\n\nHighest-----------------------------------------------------Lowest\n\n
Attributes of ObservancePO54321
1Punctuality/ RegularityPO8\u2713
2Sincerity in LearningPO12\u2713
3Enthusiasm to use new technological toolsPO5\u2713
4Team Spirit: Relationship with Team MembersPO9\u2713
5Technical/Programming SkillsPO1\u2713
6Societal Impact of ProjectPO7\u2713
7InnovationPO1,PO5\u2713
8Knowledge of Algorithm OptimizationPO1,PO4\u2713
9Problem Solving AbilityPO2\u2713
10Project Management/Leadership Skills: Taking responsibilitiesPO11\u2713
11Communication SkillsPO10\u2713
12Implementing InstructionsPO3\u2713
13Achievement of DeadlinesPO11\u2713
14Follows Sustainable Development practices in day to day work and project workPO6\u2713
15Overall Performance, Behavior and AttitudePO8\u2713
\n\nPage 1 of 2", "correct": false, "input_tokens": 1166, "output_tokens": 669, "elapsed_seconds": 6.844451833050698, "metadata": {"question": "Transcribe all text in this document exactly and completely, in reading order, preserving casing, punctuation, currency symbols, and codes. Use an HTML table only for genuinely tabular content, mirroring its rows, columns, and merged cells; write the HTML on single lines with no indentation or blank lines between tags, and collapse horizontal alignment to a single space.", "match_method": "similarity", "score": 0.8984, "attempts": 1, "retries": 0, "total_seconds": 6.8587}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 22, "image": "4f216ea0-af67-40e1-a226-2884e051db56_png.rf.b2fadeee17b3985c08325bec449bfd27.jpg", "expected": "NANAVATI\nMAX Super Speciality Hospital\n\n28/11/25\n\nTo\n\nWHOM SO EVER IT MAY CONCERNS\n\nMrs. Tanvi Mehta, 33/F, K/c/o CKD Stage 5 is planned for Live related kidney transplant on 2/12/2025. Post op patient is given immunosuppressants so require Isolation / Single room for infection prevention.\n\nSo kindly consider the same.\n\nFor Dr. Jalin Kotuan.\n\nDr. Balabhai Nanavati Hospital (Charitable) \nS.V. Road, Vile Parle (W), Mumbai - 400 056 \nTel.: +91-22-6134 7500 \nManaged by Max Hospitals and Allied services Limited\n\nwww.nanavatimaxhospital.org", "predicted": "NANAVATI\nMAX Super Speciality\nHospital 28/11/25\nTo\nWHOM SO EVER IT MAY CONCERNS\nMrs. Tanvi Mehta, 33/F, K/c/o CKD Stage 5\nis planned for Live related Kidney transplant\non 2/12/2025. Post op patient is given\nimmunosuppressants so require Isolation/\nSingle room for infection prevention.\nSo Kindly consider the same.\n\nDR. BALABHAI NANAVATI HOSPITAL\nMUMBAI-56.\nFor Dr. Jatin Kothari.\n\nDr. Balabhai Nanavati Hospital (Charitable)\nS.V. Road, Vile Parle (W), Mumbai - 400 056\nTel.: +91-22-6134 7500\nManaged by Max Hospitals and Allied services Limited\nwww.nanavatimaxhospital.org\nNABH\nH-2015-0359\nDec 02, 18 - Dec 01, 21\nSince Dec 02, 2015", "correct": false, "input_tokens": 1140, "output_tokens": 253, "elapsed_seconds": 9.482245292048901, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.8088, "attempts": 1, "retries": 0, "total_seconds": 9.5375}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 23, "image": "058e2b7c-372e-4d28-8921-9686341124d1_png.rf.17dd3d796974c2aef56049a1e6edcee8.jpg", "expected": "Sir Ganga Ram Hospital\nSir Ganga Ram Hospital Marg, Rajinder Nagar,\nNew Delhi-110060, INDIA Tel : +91-11-4225 4000\n\nMedical Superintendent (Offg.)\nSir Ganga Ram Kolmet Hospital, 7-B, Pusa Road,\nNew Delhi-110005. Tel : +91-11-45099999, (D) 45099980\n\nDr. Raj Kamal Agarwal\nSr. Consultant\nDeptt. of Anaesthesiology\nPain & Peri Operative Medicine\nMobile : +91 98101 52201\nE-mail : kamalagarwal300@gmail.com\n\nTO WHOM IT MAY CONCERN\n\nAs per ICMR guideline, the contacts of COVID +ve cases should be put on HOME ISOLATION even with Mild Symptoms\n\nIt is advised that everybody takes these preventive medication apart from following SOCIAL DISTANCING, HAND HYGIENE & WEARING MASK\n\nRx\n\u2022 TAB HYDROXY CHLOROQUINE 400mg once a week\n\u2022 TAB VITAMIN C one gram once a day\n\u2022 TAB ZINC 50 mg once a day\n\nIn case of fever\n\n* \u2022 TAB CROCIN/CALPOL 650 mg SOS\n\nIn case of throat pain & cough\n\n* \u2022 TAB CETRIZINE 10mg once a day.\n\u2022 SYRUP ALEX 2/3 Tea spoon 3 times a day.\n\nDr. RAJ KAMAL AGARWAL\nMBBS, DA\nDMC No. 14517\nSENIOR CONSULTANT\nDEPTT. OF ANAESTHSIOLOGY\nPERIOPERATIVE MEDICINE & PAIN\nSIR GANGARAM HOSPITAL\nRAJINDER NAGAR, NEW DELHI-110060\nPh.9810152201\n\nResidence :\n181, Royalton Tower, Princeton Estate, DLF Phase-V, Gurugram, Haryana", "predicted": "Sir Ganga Ram Hospital\nSir Ganga Ram Hospital Marg, Rajinder Nagar,\nNew Delhi-110060, INDIA Tel : +91-11-4225 4000\nMedical Superintendent (Offg.)\nSir Ganga Ram Kolmet Hospital, 7-B, Pusa Road,\nNew Delhi-110005. Tel : +91-11-45099999, (D) 45099980\nDr. Raj Kamal Agarwal\nSr. Consultant\nDeptt. of Anaesthesiology\nPain & Peri Operative Medicine\nMobile : +91 98101 52201\nE-mail : kamalagarwal300@gmail.com\n\nTO WHOM IT MAY CONCERN\nAs per ICMR guideline, the contacts of\nCOVID +ve cases should be put on HOME\nISOLATION even with Mild Symptoms\nIt is advised that everybody takes these\npreventive medication apart from following\nSOCIAL DISTANCING, HAND HYGIENE & WEARING\nMASK\nRx\n\u2022 TAB HYDROXYCHLOROQUINE 400mg once a week\n\u2022 TAB VITAMIN C one gram once a day\n\u2022 TAB ZINC 50mg once a day\nIn case of fever\n* \u2022 TAB CROCIN / CALPOL 650mg SOS\nIn case of throat pain & cough\n* \u2022 TAB CETRIZINE 10mg once a day.\n\u2022 SYRUP ALEX 2/3 tea spoon 3 times a day.\n\nDR. RAJ KAMAL AGARWAL\n[illegible] MBBS, DA\n10- DMC No 4537\nSENIOR CONSULTANT\nDEPTT. OF ANAESTHSIOLOGY\nPERIOPERATIVE MEDICINE & PAIN\nSIR GANGARAM HOSPITAL\nRAJINDER NAGAR, NEW DELHI-110060\nPH: 9810152201\nResidence :\n181, Royalton Tower, Princeton Estate, DLF Phase-V, Gurugram, Haryana-122011", "correct": true, "input_tokens": 1152, "output_tokens": 454, "elapsed_seconds": 8.039064957993105, "metadata": {"question": "Transcribe all handwritten and printed text exactly as written, reading top to bottom and left to right, and omit nothing; mark only genuinely unreadable words as [illegible]. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9584, "attempts": 1, "retries": 0, "total_seconds": 8.1195}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 24, "image": "1b4e5426-d109-4398-8e45-ab1dc497980f_png.rf.bded2a0f08d8a00ca919034e8f04cf48.jpg", "expected": "Lesson \n1.1\n\nReading (Recognizing Uppercase and Lowercase Letters)\n\nActivity\n\nCircle the matching lowercase letter in each row. The first one has been completed.\n\n| | | | | |\n|---|---|---|---|---|\n| A | c | (a) | e | h |\n| B | v | n | (b) | l |\n| C | a | w | e | (c) |\n| D | (d) | l | t | i |\n| E | b | m | x | (e) |\n| F | e | o | (f) | p |\n| G | h | (g) | r | s |\n| H | v | a | (h) | r |\n| I | c | a | (i) | p |\n| J | t | y | o | (j) |\n| K | (k) | x | d | u |\n| L | o | (l) | a | t |\n| M | b | (m) | n | w |", "predicted": "Lesson\n1.1\n\n# Reading (Recognizing Uppercase and Lowercase Letters)\n\n## Activity\n\n**Circle the matching lowercase letter in each row. The first one has been completed.**\n\n| A | c | $\\textcircled{\\text{a}}$ | e | h |\n| :--- | :---: | :---: | :---: | :---: |\n| **B** | v | n | $\\textcircled{\\text{b}}$ | l |\n| **C** | a | w | $\\textcircled{\\text{e}}$ | c |\n| **D** | $\\textcircled{\\text{d}}$ | l | t | i |\n| **E** | b | m | x | $\\textcircled{\\text{e}}$ |\n| **F** | e | o | $\\textcircled{\\text{f}}$ | p |\n| **G** | h | $\\textcircled{\\text{g}}$ | r | s |\n| **H** | v | a | $\\textcircled{\\text{h}}$ | r |\n| **I** | c | a | $\\textcircled{\\text{i}}$ | p |\n| **J** | t | y | o | $\\textcircled{\\text{j}}$ |\n| **K** | $\\textcircled{\\text{k}}$ | x | d | u |\n| **L** | o | $\\textcircled{\\text{l}}$ | a | t |\n| **M** | b | $\\textcircled{\\text{m}}$ | n | w |\n\nCabsera", "correct": false, "input_tokens": 1190, "output_tokens": 328, "elapsed_seconds": 4.690741917002015, "metadata": {"question": "Transcribe every piece of text in this image exactly as written, in reading order, preserving question and option numbering, and omit nothing. Write mathematical expressions in LaTeX and format the result as Markdown that mirrors the layout. Ignore the vertical text printed sideways along the page margin.", "match_method": "similarity", "score": 0.5358, "attempts": 1, "retries": 0, "total_seconds": 4.7279}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 25, "image": "9e81338a-33bb-479d-939a-0df376f0a972_png.rf.917d36705351e18951147dc224677339.jpg", "expected": "yes exactly! a bit like i'm being manipulated in some creepy way. \"please like me, look how much i know about you, we are good friends\".", "predicted": "Andrej Karpathy @karpathy \u00b7 1\u5c0f\u65f6\nyes exactly! a bit like i'm being manipulated in some creepy way. \"please like me, look how much i know about you, we are good friends\".\n4 2 105 4,300", "correct": false, "input_tokens": 1184, "output_tokens": 64, "elapsed_seconds": 3.304465707973577, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom, keeping each author's handle with their message, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the last (bottom-most) tweet authored by Andrej Karpathy (@karpathy).", "match_method": "similarity", "score": 0.7473, "attempts": 1, "retries": 0, "total_seconds": 3.337}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 26, "image": "e6e06b1b-da53-41ac-bfdf-9316443ff037_png.rf.39688157a0a030c060170f7400170d30.jpg", "expected": "31/3/24 AI OCR Tools\n\nQuite unusually for me, this essay started its life as a scribble in a notebook rather than something I typed into a markdown editor. A few weeks ago Tiago Forte made a short video suggesting that people can use GPT4-V to capture their hand-written notes digitally. I've been looking for a \"smart\" OCR tool that can process my terribly scratchy, spidery hand writing for many years and none have quite cut the mustard. But, I thought, why not give it a go. To my absolute surprise, GPT did a phenomenal job of parsing my scrawlings and spitting out text. I was seriously impressed. Handwriting OCR has now gone from a fun toy and conversation piece to something I can actually, seriously use in my workflow. So then, is GPT via ChatGPT the best option I've got for this task or are there any FOSS tools and models that I could use instead?\n\nThe Closest option: CRAFT-TROCR\n\nI played with this a couple of years ago and it was reasonably good at certain content but only if I write in my very best hand writing all the time. And I don't do that because when I am taking notes in a meeting or something, I am thinking about the meeting, not my hand writing.\n\nHow does CRAFT-TROCR work? Are there any major differences? I'm guessing a big transformer model is able to maximise probability globally across the image + the generated text.\n\n68", "predicted": "31/3/24 AI OCR Tools\n\nQuite unusually for me, this essay started its life\nas a scribble in a notebook rather than something\nI typed into a markdown editor. A few weeks ago\nTiago Forte made a short video suggesting that\npeople can use GPT4-V to capture their hand-written\nnotes digitally. I've been looking for a \"smart\"\nOCR tool that can process my terribly scratchy,\nspidery hand writing for many years and none have\nquite cut the mustard. But, I thought, why not\ngive it a go. To my absolute surprise, GPT did\na phenomenal job of parsing my scrawlings and\nspitting out text. I was seriously impressed.\nHandwriting OCR has now gone from a fun toy\nand conversation piece to something I can actually, seriously\nuse in my workflow. So then, is GPT via ChatGPT\nthe best option I've got for this task or are\nthere any FOSS tools and models that I could\nuse instead?\n\nThe Classic option: CRAFT-TROCR\n\nI played with this a couple of years ago and\nit was reasonably good at certain content but only\nif I write in my very best hand writing all the time.\nAnd I don't do that because when I am taking\nnotes in a meeting or something, I am thinking about\nthe meeting, not my hand writing.\n\nHow does CRAFT-TROCR work? Are there any major\ndifferences? I'm guessing a big transformer model\nis able to maximise probability globally across the\nimage + the generated text.\n\n68", "correct": true, "input_tokens": 1210, "output_tokens": 341, "elapsed_seconds": 6.424516541999765, "metadata": {"question": "Transcribe all handwritten and printed text exactly as written, reading top to bottom and left to right, and omit nothing; mark only genuinely unreadable words as [illegible]. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the text on the left page of the notebook, ignoring the partially visible right page.", "match_method": "similarity", "score": 0.9787, "attempts": 1, "retries": 0, "total_seconds": 6.4739}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 27, "image": "d1d7aaf7-169c-4847-866d-61bc0a6784b4_png.rf.47c7117d83bf6448f821dbc28e0e6255.jpg", "expected": "R\u00c9PUBLIQUE FRAN\u00c7AISE\nCARTE NATIONALE D'IDENTIT\u00c9 / IDENTITY CARD\n\nNOM / Surname \nMARTIN\n\nPr\u00e9noms / Given names \nMa\u00eblys Ga\u00eblle, Marie\n\nSEXE / Sex\nF\n\nNATIONALIT\u00c9 / Nationality\nFRA\n\nDATE DE NAISS. / Date of birth \n13 07 1990\n\nLIEU DE NAISSANCE / Place of birth \nPARIS\n\nNOM D'USAGE / Alternate name \nNOM D'USAGE\n\nN\u00b0 DU DOCUMENT / Document No. \nX4RTBPFW4\n\nDATE D'EXPIR. / Expiry date \n11 02 2030\n\nSignature\n\n384213", "predicted": "R\u00c9PUBLIQUE FRAN\u00c7AISE FR\nCARTE NATIONALE D'IDENTIT\u00c9 / IDENTITY CARD\nNOM / Surname\nMARTIN\nPr\u00e9noms / Given names\nMa\u00eblys-Ga\u00eblle, Marie\nSEXE / Sex NATIONALIT\u00c9 / Nationality DATE DE NAISS. / Date of birth\nF FRA 13 07 1990\nLIEU DE NAISSANCE / Place of birth\nPARIS\nNOM D'USAGE / Alternate name\nNOM D'USAGE\nN\u00b0 DU DOCUMENT / Document No. DATE D'EXPIR. / Expiry date\nX4RTBPFW4 11 02 2030\n384213", "correct": false, "input_tokens": 1179, "output_tokens": 149, "elapsed_seconds": 5.989012333913706, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the main identity document, reading top to bottom and left to right, and ignore the vertical text along the left edge, the signature graphic, and the faint background watermark.", "match_method": "similarity", "score": 0.8504, "attempts": 1, "retries": 0, "total_seconds": 6.0498}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 28, "image": "bcd74d99-f2d8-4005-aa54-2cc083e5a293_png.rf.1d000af6e7da39b4a95398db67f4bcbb.jpg", "expected": "4/16/26, 3:09 PM\n\nDocs\n\nGetting Started with Docker setup\n\nTo begin developing and deploying applications within this environment, you must have Docker Engine and the Docker Compose plugin installed. Follow the steps below to set up the environment on a Debian/Ubuntu-based system.\n\n1. Update the Package Index\n\nsudo apt update\n\nsudo apt install -y ca-certificates curl gnupg lsb-release\n\ncurl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --dearmor -o /etc/apt/keyrings/docker.gpg\n\nsudo chmod a+r /etc/apt/keyrings/docker.gpg\n\necho \\\n \"deb [arch=$(dpkg --print-architecture) signed-by=/etc/apt/keyrings/docker.gpg] https://download.docker.com/linux/ubuntu \\\n $(. /etc/os-release && echo \"$VERSION_CODENAME\") stable\" | \\\n sudo tee /etc/apt/sources.list.d/docker.list > /dev/null\n\nsudo apt update\n\nsudo apt install -y docker-ce docker-ce-cli containerd.io docker-buildx-plugin docker-compose-plugin", "predicted": "4/16/26, 3:09 PM Docs\n\nGetting Started with Docker setup\n\nTo begin developing and deploying applications within this environment, you must\nhave Docker Engine and the Docker Compose plugin installed. Follow the steps\nbelow to set up the environment on a Debian/Ubuntu-based system.\n\n 1. Update the Package Index\n\n sudo apt update\n\n sudo apt install -y ca-certificates curl gnupg lsb-release\n\n curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --\n dearmor -o /etc/apt/keyrings/docker.gpg\n\n sudo chmod a+r /etc/apt/keyrings/docker.gpg\n\n echo \\\n \"deb [arch=$(dpkg --print-architecture) signed-\n by=/etc/apt/keyrings/docker.gpg]\n https://download.docker.com/linux/ubuntu \\\n $(. /etc/os-release && echo \"$VERSION_CODENAME\") stable\" | \\\n sudo tee /etc/apt/sources.list.d/docker.list > /dev/null\n\n sudo apt update\n\n sudo apt install -y docker-ce docker-ce-cli containerd.io docker-\n buildx-plugin docker-compose-plugin", "correct": true, "input_tokens": 1161, "output_tokens": 269, "elapsed_seconds": 4.677433667005971, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9795, "attempts": 1, "retries": 0, "total_seconds": 4.6866}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 29, "image": "8aa12106-fbe5-4983-96bf-a1243a7c4020_png.rf.83832cdeaaf470d6954bbada16920ccd.jpg", "expected": "\"Jade City\"\nBaan 16 - 8256 AX\nBiddinghuizen\n\nT.Nr: L7\n\n
1 Gebraden magere spek met pikante saus a 19.50 (1 Nasi a EUR 1.00)EUR20.50
1 Chinese bami a la \"Jade City\" a 19.00EUR19.00
1 Babi pangang met pikante saus a 19.00 (1 Nasi a EUR 1.00)EUR20.00
1 Koe Loe Kai a 18.00 (1 Nasi a EUR 1.00)EUR19.00
1 Ossenhaas met oestersaus a 21.00EUR21.00
2 Dame blanche(ijs.choc.slagroom)EUR9.00
1 Cola a 3.25EUR3.25
2 Cola-max a 3.25EUR6.50
1 Sinas a 3.25EUR3.25
1 Seven-up a 3.25EUR3.25
2 ice thee met prik a 3.75EUR7.50
3 ijs a 4.00EUR12.00
\n\n============ +\nTotaal: EUR 144.25\n============\n\nBTW 9.0% EUR 11.91\n\nBedankt voor Uw bezoek\nRabobank NL29 0348178123\nKvk 39037611", "predicted": "\"Jade City\"
Baan 16 - 8256 AX
Biddinghuizen\n\nT.Nr: L7\n\n
1Gebraden magere spek met
pikante saus a 19.50
(1 Nasi a EUR 1.00)		EUR20.50
1Chinese bami a la \"Jade
City\" a 19.00		EUR19.00
1Babi pangang met pikante
saus a 19.00
(1 Nasi a EUR 1.00)		EUR20.00
1Koe Loe Kai a 18.00
(1 Nasi a EUR 1.00)		EUR19.00
1Ossenhaas met oestersaus
a 21.00		EUR21.00
2Dame
blanche(ijs.choc.slagroom)		EUR9.00
1Cola a 3.25EUR3.25
2Cola-max a 3.25EUR6.50
1Sinas a 3.25EUR3.25
1Seven-up a 3.25EUR3.25
2ice thee met prik a 3.75EUR7.50
3ijs a 4.00EUR12.00
=========== +
Totaal: EUR144.25
===========
\n\nBTW 9.0% EUR 11.91\n\nBedankt voor Uw bezoek
Rabobank NL29 0348178123
Kvk 39037611", "correct": false, "input_tokens": 1204, "output_tokens": 537, "elapsed_seconds": 8.313562124967575, "metadata": {"question": "Transcribe all text in this document exactly and completely, in reading order, preserving casing, punctuation, currency symbols, and codes. Use an HTML table only for genuinely tabular content, mirroring its rows, columns, and merged cells; write the HTML on single lines with no indentation or blank lines between tags, and collapse horizontal alignment to a single space. Transcribe only the main receipt in the foreground, and ignore the upside-down, semi-transparent receipt behind it.", "match_method": "similarity", "score": 0.7775, "attempts": 1, "retries": 0, "total_seconds": 8.3835}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 30, "image": "11b83a24-c9b8-4d9a-b4db-b73d396719cd_png.rf.358e9a65b048e920c8eacbd7b7fb1df6.jpg", "expected": "Something tells me that if they released their chat/tool/hyper-param templates which they use on their cloud service, there'd be a lot more love and acceptance. Why anyone is still using a llama.cpp wrapper anymore is the better question and beyond me.", "predicted": "Eric @Ex0byt \u00b7 1\u5c0f\u65f6\nSomething tells me that if they released their chat/tool/hyper-param templates which they use on their cloud service, there\u2019d be a lot more love and acceptance. Why anyone is still using a llama.cpp wrapper anymore is the better question and beyond me.\n40", "correct": false, "input_tokens": 1199, "output_tokens": 71, "elapsed_seconds": 3.729506832896732, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom, keeping each author's handle with their message, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned. Transcribe only the reply authored by Eric (@Ex0byt).", "match_method": "similarity", "score": 0.9161, "attempts": 1, "retries": 0, "total_seconds": 3.759}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 31, "image": "fc6e5e8d-4b33-4a20-a63a-96c0205ae8f6_png.rf.6cdeb04c221a85b1895ded05acdbfa1b.jpg", "expected": "When recorded return to:\nSTRIBLING LAW FIRM PO\n101 E MCINTOSH ST\nMILLEDGEVILLE GA 3106\n\nDoc ID: 001029530008 Type: GLR\nRecorded: 10/21/2013 at 04:07:30 PM\nPage 1 of 8\nBaldwin, Ga. Clerk Superior Court\nRosemary Phillips Clerk of Courts\nBK 1150 PG 483-490\n\nFILED & RECORDED\nCLERK, SUPERIOR COURT\nBALDWIN COUNTY, GA\n2013 OCT 21 PM 4: 07\nBY\nROSEMARY PHILLIPS, CLERK\n\nDeed To Secure Debt\n(With Future Advance Clause)\n\n1. Date and Parties. The date of this Deed to Secure Debt (Security Instrument) is OCTOBER 21, 2013\n. The parties and their addresses are:\n\nGrantor: THE BRACK FAMILY LIMITED\nPARTNERSHIP\n891 S JEFFERSON STREET SE\nMILLEDGEVILLE GA 31061\n\n\u2610 If checked, refer to the attached Addendum incorporated herein, for additional Grantors, their signatures\nand acknowledgments.\n\nGrantee: CENTURY BANK AND TRUST\n(\"Lender\") 141 S WAYNE ST\nMILLEDGEVILLE, GA 31061-5708\n\n2. Conveyance. For good and valuable consideration, the receipt and sufficiency of which is acknowledged,\nand to secure the Secured Debt (defined below) and Grantor\u2019s performance under this Security Instrument,\nGrantor irrevocably grants, bargains, transfers, conveys and sells to Lender, with power of sale, the\nfollowing described property:\n*SEE EXHIBIT 'A' ATTACHED HERETO AND INCORPORATED HEREIN BY REFERENCE.\n\nThe property is located in BALDWIN at\n(County)\n101 KINGS RD , MILLEDGEVILLE , Georgia 31061-0000\n(Address) (City) (ZIP Code)\nTogether with all rights, easements, appurtenances, royalties, mineral rights, oil and gas rights, all water and\nriparian rights, ditches, and water stock and all existing and future improvements, structures, fixtures, and\nreplacements that may now, or at any time in the future, be part of the real estate described above (all\nreferred to as \"Property\").\n\n3. Maximum Obligation Limit. The total principal amount secured by this Security Instrument at any one time\nshall not exceed $ UNLIMITED . This limitation of amount does not include\ninterest and other fees and charges validly made pursuant to this Security Instrument. Also, this limitation\ndoes not apply to advances made under the terms of this Security Instrument to protect Lender\u2019s security and\nto perform any of the covenants contained in this Security Instrument.\n\nReal Estate Security Instrument-Consumer-GA\nVMP\u00ae Bankers Systems\u2122\nWolters Kluwer Financial Services \u00a9 1994, 2011\n\nRE-DSD-GA 1/24/2011\nVMPC231(GA) (1101).00\nPage 1 of 6\n\nBB R# 189300", "predicted": "When recorded return to: 1\nSTRIBLING LAW FIRM PC 2 FILED & RECORDED\n101 E MCINTOSH ST CLERK, SUPERIOR COURT\nMILLEDGEVILLE GA 31061 BALDWIN COUNTY, GA\nDoc ID: 001029530008 Type: GLR\nRecorded: 10/21/2013 at 04:07:30 PM 2013 OCT 21 PM 4:07\nPage 1 of 8\nBaldwin, Ga. Clerk Superior Court\nRosemary Phillips Clerk of Courts BY Barbara Boyer\nBK 1150 PG 483-490 ROSEMARY PHILLIPS, CLERK\nDpy Clerk\n\nDeed To Secure Debt\n(With Future Advance Clause)\n\n1. Date and Parties. The date of this Deed to Secure Debt (Security Instrument) is OCTOBER 21, 2013\n. The parties and their addresses are:\n\nGrantor: THE BRACK FAMILY LIMITED\nPARTNERSHIP\n891 S JEFFERSON STREET SE\nMILLEDGEVILLE GA 31061\n\nIf checked, refer to the attached Addendum incorporated herein, for additional Grantors, their signatures\nand acknowledgments.\n\nGrantee: CENTURY BANK AND TRUST\n(\"Lender\") 141 S WAYNE ST\nMILLEDGEVILLE, GA 31061-5708\n\n2. Conveyance. For good and valuable consideration, the receipt and sufficiency of which is acknowledged,\nand to secure the Secured Debt (defined below) and Grantor's performance under this Security Instrument,\nGrantor irrevocably grants, bargains, transfers, conveys and sells to Lender, with power of sale, the\nfollowing described property:\n*SEE EXHIBIT 'A' ATTACHED HERETO AND INCORPORATED HEREIN BY REFERENCE.\n\nThe property is located in BALDWIN at\n(County)\n101 KINGS RD , MILLEDGEVILLE , Georgia 31061-0000\n(Address) (City) (ZIP Code)\nTogether with all rights, easements, appurtenances, royalties, mineral rights, oil and gas rights, all water and\nriparian rights, ditches, and water stock and all existing and future improvements, structures, fixtures, and\nreplacements that may now, or at any time in the future, be part of the real estate described above (all\nreferred to as \"Property\").\n\n3. Maximum Obligation Limit. The total principal amount secured by this Security Instrument at any one time\nshall not exceed $ UNLIMITED . This limitation of amount does not include\ninterest and other fees and charges validly made pursuant to this Security Instrument. Also, this limitation\ndoes not apply to advances made under the terms of this Security Instrument to protect Lender's security and\nto perform any of the covenants contained in this Security Instrument.\n\nReal Estate Security Instrument-Consumer-GA RE-DSD-GA 1/24/2011\nVMP\u00ae Bankers Systems\u2122 VMPC231(GA) (1101).00\nWolters Kluwer Financial Services \u00a9 1994, 2011 Page 1 of 6\n\nBB R# 189300", "correct": false, "input_tokens": 1168, "output_tokens": 699, "elapsed_seconds": 7.601848165970296, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.8877, "attempts": 1, "retries": 0, "total_seconds": 7.6294}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 32, "image": "c05c3288-ac14-47d6-8756-9ad484ae9696_png.rf.0ff67a7a39c5d5c7c9739988d851c032.jpg", "expected": "COST OF LIVING\n\nThe following figures are a general guide to essential monthly expenses for an expatriate executive living in Azerbaijan.\n\nMarried\nSingle couple with\nperson two children\n(US$) (US$)\n\nRent 800 3,000\nFood 300 1,200\nTransport 150 300\nUtilities 100 150\nEducation n. a. 1,000\nMiscellaneous 500 1,000\n\nTotal 1,850 6,650", "predicted": "COST OF LIVING\n\nThe following figures are a general guide to essential monthly expenses for an expatriate executive living in Azerbaijan.\n\nMarried\nSingle couple with\nperson two children\n(US$) (US$)\n\nRent 800 3,000\nFood 300 1,200\nTransport 150 300\nUtilities 100 150\nEducation n. a. 1,000\nMiscellaneous 500 1,000\n\nTotal 1,850 6,650", "correct": true, "input_tokens": 1164, "output_tokens": 127, "elapsed_seconds": 2.953558750101365, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 1.0, "attempts": 1, "retries": 0, "total_seconds": 2.9917}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 33, "image": "5327a38f-11a2-45f2-9a38-e1375dfbeb43_png.rf.b6a2243d098302d780056ad980a16a9c.jpg", "expected": "Probabilistic two-stage detection\n\ncosts of the second stage. Our second stage makes full use of years of progress in two-stage detection (Cai & Vasconcelos, 2018; Chen et al., 2019a) and yields a significant increase in detection accuracy over one-stage baselines. It also easily scales to large-vocabulary detection.\n\nExperiments on COCO (Lin et al., 2014), LVIS (Gupta et al., 2019), and Objects365 (Shao et al., 2019) demonstrate that our probabilistic two-stage framework boosts the accuracy of a strong CascadeRCNN model by 1-3 mAP, while also improving its speed. Using a standard ResNeXt-101-DCN backbone with a CenterNet (Zhou et al., 2019a) first stage, our detector achieves 50.2 mAP on COCO test-dev. With a strong Res2Net-101-DCN-BiFPN (Gao et al., 2019a; Tan et al., 2020b) backbone and self-training (Zoph et al., 2020), it achieves 56.4 mAP with single-scale testing, outperforming all published results. Using a small DLA-BiFPN backbone and lower input resolution, we achieve 49.2 mAP on COCO at 33 fps on a Titan Xp, outperforming the popular YOLOv4 model (43.5 mAP at 33 fps) on the same hardware. Code and models are release at https://github.com/xingyizhou/CenterNet2.\n\n2. Related Work\n\nOne-stage detectors jointly predict an output class and location of objects densely throughout the image. RetinaNet (Lin et al., 2017b) classifies a set of predefined sliding anchor boxes and handles the foreground-background imbalance by reweighting losses for each output. FCOS (Tian et al., 2019) and CenterNet (Zhou et al., 2019a) eliminate the need of multiple anchors per pixel and classify foreground/background by location. ATSS (Zhang et al., 2020b) and PAA (Kim & Lee, 2020) further improve FCOS by changing the definition of foreground and background. GFL (Li et al., 2020b) and Autoassign (Zhu et al., 2020a) change the hard foreground-background assignment to a weighted soft assignment. AlignDet (Chen et al., 2019c) uses a deformable convolution layer before the output to gather richer features for classification and regression. RepPoint (Yang et al., 2019) and DenseRepPoint (Yang et al., 2020) encode bounding boxes as the outline of a set of points and use the features of the point set for classification. BorderDet (Qiu et al., 2020) pools features along the bounding box for better localization. Most one-stage detectors have a sound probabilistic interpretation.\n\nWhile one-stage detectors have achieved competitive performance (Zhang et al., 2020b; Kim & Lee, 2020; Zhang et al., 2019; Li et al., 2020b; Zhu et al., 2020a), they usually rely on heavier separate classification and regression branches than two-stage models. In fact, they are no longer faster than their two-stage counterparts if the vocabulary (i.e., the set of object classes) is large (as in the LVIS or Objects365 datasets). Also, one-stage detectors only use the local features of the positive cell for regression and classification, which is sometimes misaligned with the object (Chen et al., 2019c; Song et al., 2020).\n\nOur probabilistic two-stage framework retains the probabilistic interpretation of one-stage detectors, but factorizes the probability distribution over multiple stages, improving both accuracy and speed.\n\nTwo-stage detectors first use a region proposal network (RPN) to generate coarse object proposals, and then use a dedicated per-region head to classify and refine them. Faster-RCNN (Ren et al., 2015; He et al., 2017) uses two fully-connected layers as the RoI heads. CascadeRCNN (Cai & Vasconcelos, 2018) uses three cascaded stages of Faster-RCNN, each with a different positive threshold so that the later stages focus more on localization accuracy. HTC (Chen et al., 2019a) utilizes additional instance and semantic segmentation annotations to enhance the inter-stage feature flow of CascadeRCNN. TSD (Song et al., 2020) decouples the classification and localization branches for each RoI.\n\nTwo-stage detectors are still more accurate in many settings (Gupta et al., 2019; Sun et al., 2020; Kuznetsova et al., 2018). Currently, all two-stage detectors use a relatively weak RPN that maximizes the recall of the top 1K proposals, and does not utilize the proposal score at test time. The large number of proposals slows the system down, and the recall-based proposal network does not directly offer the same clear probabilistic interpretation as one-stage detectors. Our framework addresses this, and integrates a strong class-agnostic single-stage object detector with later classification stages. Our first stage uses fewer, but higher quality, regions, yielding both faster inference and higher accuracy.\n\nOther detectors. A family of object detectors identify objects via points in the image. CornerNet (Law & Deng, 2018) detects the top-left and bottom-right corners and groups them using an embedding feature. ExtremeNet (Zhou et al., 2019b) detects four extreme points and groups them using an additional center point. Duan et al. (2019) detect the center point and use it to improve corner grouping. Corner Proposal Net (Duan et al., 2020) uses pairwise corner groupings as region proposals. CenterNet (Zhou et al., 2019a) detects the center point and regresses the bounding box parameters from it.\n\nDETR (Carion et al., 2020) and Deformable DETR (Zhu et al., 2020c) remove the dense output in a detector, and instead use a Transformer (Vaswani et al., 2017) that directly predicts a set of bounding boxes.\n\nThe major difference between point-based detectors, DETR, and conventional detectors lies in the network architecture. Point-based detectors use a fully-convolutional network (Newell et al., 2016; Yu et al., 2018), usually with symmetric downsampling and upsampling layers, and pro-", "predicted": "Probabilistic two-stage detection\n\ncosts of the second stage. Our second stage makes full use\nof years of progress in two-stage detection (Cai & Vascon-\ncelos, 2018; Chen et al., 2019a) and yields a significant\nincrease in detection accuracy over one-stage baselines. It\nalso easily scales to large-vocabulary detection.\n Experiments on COCO (Lin et al., 2014), LVIS (Gupta\net al., 2019), and Objects365 (Shao et al., 2019) demon-\nstrate that our probabilistic two-stage framework boosts the\naccuracy of a strong CascadeRCNN model by 1-3 mAP,\nwhile also improving its speed. Using a standard ResNeXt-\n101-DCN backbone with a CenterNet (Zhou et al., 2019a)\nfirst stage, our detector achieves 50.2 mAP on COCO test-\ndev. With a strong Res2Net-101-DCN-BiFPN (Gao et al.,\n2019a; Tan et al., 2020b) backbone and self-training (Zoph\net al., 2020), it achieves 56.4 mAP with single-scale testing,\noutperforming all published results. Using a small DLA-\nBiFPN backbone and lower input resolution, we achieve\n49.2 mAP on COCO at 33 fps on a Titan Xp, outperforming\nthe popular YOLOv4 model (43.5 mAP at 33 fps) on the\nsame hardware. Code and models are release at https:\n//github.com/xingyizhou/CenterNet2.\n\n2. Related Work\n\nOne-stage detectors jointly predict an output class and\nlocation of objects densely throughout the image. Reti-\nnaNet (Lin et al., 2017b) classifies a set of predefined sliding\nanchor boxes and handles the foreground-background im-\nbalance by reweighting losses for each output. FCOS (Tian\net al., 2019) and CenterNet (Zhou et al., 2019a) elimi-\nnate the need of multiple anchors per pixel and classify\nforeground/background by location. ATSS (Zhang et al.,\n2020b) and PAA (Kim & Lee, 2020) further improve FCOS\nby changing the definition of foreground and background.\nGFL (Li et al., 2020b) and Autoassign (Zhu et al., 2020a)\nchange the hard foreground-background assignment to a\nweighted soft assignment. AlignDet (Chen et al., 2019c)\nuses a deformable convolution layer before the output to\ngather richer features for classification and regression. Rep-\nPoint (Yang et al., 2019) and DenseRepPoint (Yang et al.,\n2020) encode bounding boxes as the outline of a set of\npoints and use the features of the point set for classification.\nBorderDet (Qiu et al., 2020) pools features along the bound-\ning box for better localization. Most one-stage detectors\nhave a sound probabilistic interpretation.\n While one-stage detectors have achieved competitive perfor-\nmance (Zhang et al., 2020b; Kim & Lee, 2020; Zhang et al.,\n2019; Li et al., 2020b; Zhu et al., 2020a), they usually rely\non heavier separate classification and regression branches\nthan two-stage models. In fact, they are no longer faster\nthan their two-stage counterparts if the vocabulary (i.e., the\nset of object classes) is large (as in the LVIS or Objects365\ndatasets). Also, one-stage detectors only use the local fea-\nture of the positive cell for regression and classification,\nwhich is sometimes misaligned with the object (Chen et al.,\n2019c; Song et al., 2020).\n Our probabilistic two-stage framework retains the proba-\nbilistic interpretation of one-stage detectors, but factorizes\nthe probability distribution over multiple stages, improving\nboth accuracy and speed.\nTwo-stage detectors first use a region proposal network\n(RPN) to generate coarse object proposals, and then use a\ndedicated per-region head to classify and refine them. Faster-\nRCNN (Ren et al., 2015; He et al., 2017) uses two fully-\nconnected layers as the RoI heads. CascadeRCNN (Cai &\nVasconcelos, 2018) uses three cascaded stages of Faster-\nRCNN, each with a different positive threshold so that the\nlater stages focus more on localization accuracy. HTC (Chen\net al., 2019a) utilizes additional instance and semantic seg-\nmentation annotations to enhance the inter-stage feature\nflow of CascadeRCNN. TSD (Song et al., 2020) decouples\nthe classification and localization branches for each RoI.\n Two-stage detectors are still more accurate in many set-\ntings (Gupta et al., 2019; Sun et al., 2020; Kuznetsova et al.,\n2018). Currently, all two-stage detectors use a relatively\nweak RPN that maximizes the recall of the top 1K propos-\nals, and does not utilize the proposal score at test time. The\nlarge number of proposals slows the system down, and the\nrecall-based proposal network does not directly offer the\nsame clear probabilistic interpretation as one-stage detec-\ntors. Our framework addresses this, and integrates a strong\nclass-agnostic single-stage object detector with later classi-\nfication stages. Our first stage uses fewer, but higher quality,\nregions, yielding both faster inference and higher accuracy.\nOther detectors. A family of object detectors iden-\ntify objects via points in the image. CornerNet (Law\n& Deng, 2018) detects the top-left and bottom-right cor-\nners and groups them using an embedding feature. Ex-\ntremeNet (Zhou et al., 2019b) detects four extreme points\nand groups them using an additional center point. Duan\net al. (2019) detect the center point and use it to improve\ncorner grouping. Corner Proposal Net (Duan et al., 2020)\nuses pairwise corner groupings as region proposals. Cen-\nterNet (Zhou et al., 2019a) detects the center point and\nregresses the bounding box parameters from it.\n DETR (Carion et al., 2020) and Deformable DETR (Zhu\net al., 2020c) remove the dense output in a detector, and\ninstead use a Transformer (Vaswani et al., 2017) that directly\npredicts a set of bounding boxes.\n The major difference between point-based detectors, DETR,\nand conventional detectors lies in the network architec-\nture. Point-based detectors use a fully-convolutional net-\nwork (Newell et al., 2016; Yu et al., 2018), usually with\nsymmetric downsampling and upsampling layers, and pro-", "correct": true, "input_tokens": 1156, "output_tokens": 1621, "elapsed_seconds": 18.35462387499865, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 0.9791, "attempts": 1, "retries": 0, "total_seconds": 18.3929}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 34, "image": "f3701711-56c0-4e6d-94ad-edbe5931b13c_png.rf.0dfe995026d12d57bfa8621b501a51c9.jpg", "expected": "Table.10 Nutrient availability after harvesting of pigeon pea (pooled data of 3 years).\n\n
Tr.TreatmentsAvailable NAvailable PAvailable KDTPA-FeDTPA-ZnDTPA-CuDTPA-Mn
Kg ha-1mgkg-1
T1Absolute control (No Fertilizers)144.536.11535.003.350.411.114.60
T2RDF only (25:50:00 NPK/ha)147.517.21539.673.390.431.134.69
T3RDF+ 25 Kg K2O/ha148.427.57558.933.520.441.154.79
T4RDF+ 50 Kg K2O/ha154.517.71560.003.520.441.224.81
T5RDF+ 25 Kg K2O/ha+ Grade I micronutrient (soil application)154.697.59562.003.580.561.325.79
T6RDF+ 50Kg K2O/ha + Grade I micronutrient (soil application)157.918.16596.003.830.581.346.11
T7RDF+ 25 Kg K2O/ha + Grade II micronutrient (0.5 % foliar spray)155.407.90592.003.590.451.265.53
T8RDF+ 50 Kg K2O/ha + Grade II micronutrient (0.5 % foliar spray)157.058.12595.003.710.451.315.70
T9RDF+ 25 Kg K2O/ha + 2 % KNO3(foliar spray)148.677.60558.003.530.421.155.51
T10RDF+ 50 Kg K2O/ha + 2 % KNO3(foliar spray)152.517.77592.673.450.431.235.54
SEm (\u00b1)1.900.4111.300.020.020.010.32
CD at 5 %5.631.2733.540.060.030.97
Grand mean152.127.57568.933.540.081.225.31
\n\n13", "predicted": "Table.10 Nutrient availability after harvesting of pigeon pea (pooled data of 3 years).\n
Tr.TreatmentsAvailable
N		Available
P		Available
K		DTPA-
Fe		DTPA-
Zn		DTPA-
Cu		DTPA-
Mn
Kg ha-1mgkg-1
T1Absolute control (No Fertilizers)144.536.11535.003.350.411.114.60
T2RDF only (25:50:00 NPK/ha)147.517.21539.673.390.431.134.69
T3RDF+ 25 Kg K2O/ha148.427.57558.933.520.441.154.79
T4RDF+ 50 Kg K2O/ha154.517.71560.003.520.441.224.81
T5RDF+ 25 Kg K2O/ha+ Grade I micronutrient (soil
application)		154.697.59562.003.580.561.325.79
T6RDF+ 50Kg K2O/ha + Grade I micronutrient (soil
application)		157.918.16596.003.830.581.346.11
T7RDF+ 25 Kg K2O/ha + Grade II micronutrient (0.5 %
foliar spray)		155.407.90592.003.590.451.265.53
T8RDF+ 50 Kg K2O/ha + Grade II micronutrient (0.5 %
foliar spray)		157.058.12595.003.710.451.315.70
T9RDF+ 25 Kg K2O/ha + 2 % KNO3(foliar spray)148.677.60558.003.530.421.155.51
T10RDF+ 50 Kg K2O/ha + 2 % KNO3(foliar spray)152.517.77592.673.450.431.235.54
SEm (\u00b1)1.900.4111.300.020.020.010.32
CD at 5 %5.631.2733.540.060.030.97
Grand mean152.127.57568.933.540.081.225.31
\n\n13", "correct": true, "input_tokens": 1194, "output_tokens": 1064, "elapsed_seconds": 11.140342583996244, "metadata": {"question": "Transcribe all text in this document exactly and completely, in reading order, preserving casing, punctuation, currency symbols, and codes. Use an HTML table only for genuinely tabular content, mirroring its rows, columns, and merged cells; write the HTML on single lines with no indentation or blank lines between tags, and collapse horizontal alignment to a single space.", "match_method": "similarity", "score": 0.951, "attempts": 1, "retries": 0, "total_seconds": 11.1741}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 35, "image": "c81c96a7-296d-4050-827a-f89309f7a523_png.rf.28cfadfc50dc15c7a43434f17af3489f.jpg", "expected": "will i am \nPlumbing & Heating\n\nBusiness Address \n24 Godwin House \nLondon, E2 8PH\n\n07851 499 470\n\n020 7 686 8226\n\ninfo@will-i-am-pnh.co.uk\n\nInvoice to: \nOrkun Acikgoz \nFlat 3 Pedlers Apartments, 1C Hewison \nStreet E3 2HZ\n\nInvoice No: 17065 \nDate: 12th May 2025\n\nRef: Flat 3 Pedlers Apartments, 1C Hewison \nStreet E3 2HZ\n\n
DESCRIPTIONQTYUNIT PRICETOTAL PRICE
Carried out an investigation, fault diagnosis and attempt to repair a leak going downstairs after the shower was used on 12/05/25 (2 hours on site - please refer to email for a report)2\u00a3100.00\u00a3200.00
Materials - x1 white silicone, x1 PTFE1\u00a310.78\u00a310.78
\n\n
SUBTOTAL:\u00a3210.78
20.0% S:\u00a342.16
TOTAL:\u00a3252.94
PAID:\u00a30.00
BALANCE DUE:\u00a3252.94
\n\nBank details as follows: \nBANK \u2013 HSBC \nwill i am Plumbing & Heating Limited \nSORT CODE \u2013 40-01-18 \nACCOUNT NO. - 41837478\n\n\u00a3252.94 due on 12th May 2025\n\nThank You", "predicted": "will i am\nPlumbing & Heating\n\nBusiness Address\n24 Godwin House\nLondon, E2 8PH\n07851 499 470\n020 7 686 8226\ninfo@will-i-am-pnh.co.uk\n\nInvoice to:\nOrkun Acikgoz\nFlat 3 Pedlers Apartments, 1C Hewison\nStreet E3 2HZ\n\nInvoice No: 17065\nDate: 12th May 2025\nRef: Flat 3 Pedlers Apartments, 1C Hewison\nStreet E3 2HZ\n\n
DESCRIPTIONQTYUNIT PRICETOTAL
PRICE
Carried out an investigation, fault diagnosis and attempt to repair a
leak going downstairs after the shower was used on 12/05/25 (2
hours on site - please refer to email for a report)		2\u00a3100.00\u00a3200.00
Materials - x1 white silicone, x1 PTFE1\u00a310.78\u00a310.78
\n\nSUBTOTAL: \u00a3210.78\n20.0% S: \u00a342.16\nTOTAL: \u00a3252.94\nPAID: \u00a30.00\nBALANCE DUE: \u00a3252.94\n\nBank details as follows:\nBANK \u2013 HSBC\nwill i am Plumbing & Heating Limited\nSORT CODE \u2013 40-01-18\nACCOUNT NO. - 41837478\n\n\u00a3252.94 due on 12th May 2025\n\nThank You", "correct": false, "input_tokens": 1194, "output_tokens": 404, "elapsed_seconds": 10.676393833011389, "metadata": {"question": "Transcribe all text in this document exactly and completely, in reading order, preserving casing, punctuation, currency symbols, and codes. Use an HTML table only for genuinely tabular content, mirroring its rows, columns, and merged cells; write the HTML on single lines with no indentation or blank lines between tags, and collapse horizontal alignment to a single space.", "match_method": "similarity", "score": 0.8338, "attempts": 1, "retries": 0, "total_seconds": 10.7}} +{"model": "gemini-4-argon", "effort": "low", "task": "ocr", "timestamp": "20261012_223719", "index": 36, "image": "b883e11d-433f-4c18-b0a5-11a0599a241b_png.rf.1efeebf4c96c16074b4f57edde37de47.jpg", "expected": "AUTORES\n\n01- ANA LUIZA BAPTISTA\n02- ANA MARA ALVES DE FREITAS\n03- AMANDA MACHADO AGUIAR\n04- ANDREA NICOLAU PASCHOAL\n05- CARLOS EDUARDO PEREIRA DE MELLO\n06- CRISTIANE HONDA\n07- DANIEL DELAZERI DE FARIA\n08- DIEGO VIEIRA DE SOUZA\n09- ILAN AKISABURO KIMURA\n10- MARIANA BOTELHO MENEGATTI\n11- MARINA PEINADO BERBERIAN\n12- MICHAEL MENDES\n13- RAFAEL DONIZETI SOUZA DE TOLEDO\n14- RAFAEL PADILLA\n15- RAFAEL SCHULIEN\n16- RENATA QUISSAK BARTELEGA PEIXOTO\n17- SILVIA RIBEIRO BROTTO\n18- THAIS NAGOSHI SUZUKI", "predicted": "AUTORES\n\n01- ANA LUIZA BAPTISTA\n02- ANA MARA ALVES DE FREITAS\n03- AMANDA MACHADO AGUIAR\n04- ANDREA NICOLAU PASCHOAL\n05- CARLOS EDUARDO PEREIRA DE MELLO\n06- CRISTIANE HONDA\n07- DANIEL DELAZERI DE FARIA\n08- DIEGO VIEIRA DE SOUZA\n09- ILAN AKISABURO KIMURA\n10- MARIANA BOTELHO MENEGATTI\n11- MARINA PEINADO BERBERIAN\n12- MICHAEL MENDES\n13- RAFAEL DONIZETI SOUZA DE TOLEDO\n14- RAFAEL PADILLA\n15- RAFAEL SCHULIEN\n16- RENATA QUISSAK BARTELEGA PEIXOTO\n17- SILVIA RIBEIRO BROTTO\n18- THAIS NAGOSHI SUZUKI", "correct": true, "input_tokens": 1176, "output_tokens": 214, "elapsed_seconds": 7.496413875021972, "metadata": {"question": "Transcribe all text exactly as written, reading top to bottom and left to right, and omit nothing. Output plain text only, with no Markdown or HTML, and use a single space wherever text is indented or aligned.", "match_method": "similarity", "score": 1.0, "attempts": 1, "retries": 0, "total_seconds": 7.5901}} diff --git a/results/reasoning_gemini-4-argon-eap_high_20261013_071611.jsonl b/results/reasoning_gemini-4-argon-eap_high_20261013_071611.jsonl deleted file mode 100644 index 92a72f2..0000000 --- a/results/reasoning_gemini-4-argon-eap_high_20261013_071611.jsonl +++ /dev/null @@ -1,151 +0,0 @@ -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 0, "image": "85202175-9c3b-4a40-b0a9-3c0d33e250b6_png.rf.9afa602969ee1e53f32d2cd370c4c96b.jpg", "expected": "1", "predicted": "2", "correct": false, "input_tokens": 1157, "output_tokens": 3046, "elapsed_seconds": 41.95799187500961, "metadata": {"question": "If a worker wants to rearrange the five numbered pipes so that their labels are in strictly ascending order from top to bottom, what is the minimum number of pipes that must be moved? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 42.0142}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 1, "image": "4f216ea0-af67-40e1-a226-2884e051db56_png.rf.09105ef6b5dab81d9f1a17fd1c6b2c34.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1147, "output_tokens": 428, "elapsed_seconds": 11.567242208053358, "metadata": {"question": "How many days after the date written on the top right of the letter is the patient's kidney transplant scheduled to take place? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.626}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 2, "image": "d0980bab-2f15-4550-b3e6-813a2ad7e709_png.rf.46eb3c9c65328046e37275727bbeba8f.jpg", "expected": "1/2", "predicted": "1/2", "correct": true, "input_tokens": 1185, "output_tokens": 372, "elapsed_seconds": 7.788767832913436, "metadata": {"question": "Given that the selected number satisfies condition (iii), what is the probability that it also satisfies condition (iv)? Choose one: 0, 1/4, 1/2, or 1.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.8562}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 3, "image": "85133aaa-d105-42fc-9fb7-95b84cbcead1_png.rf.dd175df27fe32c388e49c027b817bd77.jpg", "expected": "opposite directions", "predicted": "opposite directions", "correct": true, "input_tokens": 1197, "output_tokens": 467, "elapsed_seconds": 9.6692602080293, "metadata": {"question": "In the paved courtyard, a white car and a dark grey sedan are parked side-by-side in the middle. Are these two vehicles parked facing the same direction or opposite directions? Choose one: same direction or opposite directions.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.764}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 4, "image": "cf479a9e-f37a-4a83-ba88-9c8813100830_png.rf.39718b9777bb616b7fab6dd75e98da87.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1163, "output_tokens": 643, "elapsed_seconds": 9.436856416985393, "metadata": {"question": "From the perspective of the customer standing at the checkout facing the screen, on which side of the scanner is the bagging platform with the plastic bags located? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.4902}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 5, "image": "afb31dc3-8a6d-445f-ac38-f772de2bccd4_png.rf.592a5fece3103b7455dd062f81f25633.jpg", "expected": "upper-left", "predicted": "upper-left", "correct": true, "input_tokens": 1173, "output_tokens": 2815, "elapsed_seconds": 40.30914920894429, "metadata": {"question": "Judging by the direction the building shadows point across the block, toward which corner of the image does the sunlight appear to be shining from (i.e., shadows point away from that corner)? Choose one: upper-left, upper-right, lower-left, or lower-right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 40.3815}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 6, "image": "52dc8fa9-e959-409e-baeb-84dd14382804_png.rf.48fb415d0a2851464da46f9e94f3598b.jpg", "expected": "Flurotec-coated bromobutyl serum stoppers", "predicted": "Flurotec-coated bromobutyl serum stoppers", "correct": true, "input_tokens": 1179, "output_tokens": 486, "elapsed_seconds": 8.113474582904018, "metadata": {"question": "Which packaging material was dispensed furthest above its required quantity? Choose one: amber glass vial, Flurotec-coated bromobutyl serum stoppers, or purple flip-off seal.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.2011}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 7, "image": "badd5270-702b-4161-804a-3875ebeaab25_png.rf.87a2d89de755bd8e677f27f6c325b675.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1182, "output_tokens": 449, "elapsed_seconds": 5.802787708002143, "metadata": {"question": "In the visible table, what is the difference between the number of rows with Real Customer Group '1278' and those with '1001'? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.8229}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 8, "image": "badd5270-702b-4161-804a-3875ebeaab25_png.rf.87a2d89de755bd8e677f27f6c325b675.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1170, "output_tokens": 612, "elapsed_seconds": 6.511163957999088, "metadata": {"question": "Excluding the row where the Party is 'NONE', how many unique Party values are listed in the table? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.5308}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 9, "image": "76bbc10c-bed4-41d3-8622-035eeabc5596_png.rf.b20dacd6d7f36277f12a5de62bcc77d5.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1143, "output_tokens": 1111, "elapsed_seconds": 11.205600916990079, "metadata": {"question": "How many total boxes of trial lenses are missing from the column labeled 110 in the bottom section? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.32}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 10, "image": "76bbc10c-bed4-41d3-8622-035eeabc5596_png.rf.b20dacd6d7f36277f12a5de62bcc77d5.jpg", "expected": "+1.00", "predicted": "+1.00", "correct": true, "input_tokens": 1160, "output_tokens": 436, "elapsed_seconds": 8.48867591691669, "metadata": {"question": "In the bottom section, which SPH power row is completely empty across all five columns? Choose one: +3.00, +2.00, +1.00, or -6.00.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.6018}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 11, "image": "f76b953e-a7af-4f0b-b25d-8464103c4b2d_png.rf.2323d361c5c1df73ba3feca61d206a76.jpg", "expected": "278", "predicted": "278", "correct": true, "input_tokens": 1145, "output_tokens": 425, "elapsed_seconds": 6.500408833031543, "metadata": {"question": "According to the nutritional information, how many total calories (Kcal) are contained in a portion of this snack that contains exactly 18 grams of fat? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.5348}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 12, "image": "f76b953e-a7af-4f0b-b25d-8464103c4b2d_png.rf.2323d361c5c1df73ba3feca61d206a76.jpg", "expected": "58.3%", "predicted": "58.3%", "correct": true, "input_tokens": 1148, "output_tokens": 572, "elapsed_seconds": 8.342603041906841, "metadata": {"question": "Based on the nutritional information per 100g, what percentage of the total energy comes from fat, using 9 kcal per gram of fat? Answer with a percentage rounded to one decimal place.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.4162}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 13, "image": "bb5d817a-0216-4404-a737-dc3a118edda4_png.rf.de0c951943b6ce799e856483fae63599.jpg", "expected": "2.742", "predicted": "2.742", "correct": true, "input_tokens": 1169, "output_tokens": 1147, "elapsed_seconds": 13.456405375036411, "metadata": {"question": "Based on the technical drawing, what is the horizontal distance between the leftmost center of the left slot and the vertical centerline of the top hole? Answer with a number rounded to three decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 13.4709}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 14, "image": "f1f21256-337e-4348-ab9a-13351b9666bc_png.rf.f7241e285cd093e86b7c7fa3968fcf5d.jpg", "expected": "11", "predicted": "11", "correct": true, "input_tokens": 1168, "output_tokens": 283, "elapsed_seconds": 4.2286374169634655, "metadata": {"question": "How many days elapse between the date the delivery note was issued and the scheduled delivery date? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.2392}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 15, "image": "dc13d7fa-f450-4040-a92b-a7d4f065e31d_png.rf.72799758463340501608cda7b66e2b78.jpg", "expected": "6", "predicted": "23", "correct": false, "input_tokens": 1159, "output_tokens": 885, "elapsed_seconds": 11.711721041006967, "metadata": {"question": "What is the total number of containers associated with all samples designated as composite ('C') under the collection type? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 11.7529}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 16, "image": "dc13d7fa-f450-4040-a92b-a7d4f065e31d_png.rf.72799758463340501608cda7b66e2b78.jpg", "expected": "no", "predicted": "no", "correct": true, "input_tokens": 1161, "output_tokens": 1112, "elapsed_seconds": 11.703767458093353, "metadata": {"question": "Does preservation code N apply to more total containers than preservation code S when every checked row is weighted by its listed container count? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.7476}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 17, "image": "8e5b7a3a-7b69-4663-8f76-5b772006e748_png.rf.f9a5eaa49d2d77a19776b2b8db176942.jpg", "expected": "11.9 cm", "predicted": "11.9 cm", "correct": true, "input_tokens": 1162, "output_tokens": 1192, "elapsed_seconds": 14.763520417036489, "metadata": {"question": "Based on the horizontal ruler, what is the length of the blister pack? Choose one: 11.4 cm, 11.9 cm, 12.4 cm, or 12.9 cm.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 14.7797}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 18, "image": "396282bc-0d15-4e53-8803-7e5b69c1bef0_png.rf.7026903692b33b2e719785561327c679.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1186, "output_tokens": 362, "elapsed_seconds": 6.866559000103734, "metadata": {"question": "If the worker wants to assemble another dessert cup matching those on the trays, can it be completed using only the loose ingredients visibly available on the table? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.9173}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 19, "image": "ea5e1584-2445-412a-ab88-341719a020fb_png.rf.e18e5930f3b7aaeffe6681b1e4b5928d.jpg", "expected": "4026.72", "predicted": "4026.72", "correct": true, "input_tokens": 1188, "output_tokens": 815, "elapsed_seconds": 10.348985041957349, "metadata": {"question": "If the \u20ac450 rework discount were removed while all other entries and the 19% VAT rate stayed unchanged, what would the resulting invoice total including VAT be? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.3677}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 20, "image": "8f5959cc-c71e-4f39-926e-f88be3cd618b_png.rf.fd70f6581b5f9ef831b77090bcd8e310.jpg", "expected": "250", "predicted": "250", "correct": true, "input_tokens": 1173, "output_tokens": 182, "elapsed_seconds": 3.5531333750113845, "metadata": {"question": "Subtract the total net weight from the total weight gross listed on the delivery note, and express the packaging weight in grams. Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.5636}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 21, "image": "1eae1c65-b395-4666-85f9-bf941b1def2c_png.rf.ee7f186d8bab2cd5b0cfb02161c8302a.jpg", "expected": "4", "predicted": "3", "correct": false, "input_tokens": 1172, "output_tokens": 308, "elapsed_seconds": 6.418711999896914, "metadata": {"question": "How many days elapsed between the date this cleaning record became effective and the date Section E was crossed out and signed? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 6.4832}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 22, "image": "ed48ae7c-8ca6-4fd9-9483-28df8487b82d_png.rf.36fc2484e3acc322295ec134e0068226.jpg", "expected": "left", "predicted": "right", "correct": false, "input_tokens": 1192, "output_tokens": 3639, "elapsed_seconds": 48.37584941601381, "metadata": {"question": "From the perspective of a driver sitting inside the white sedan and looking forward, on which side of their vehicle's front end did the collision occur? Choose one: left or right.", "strict_correct": false, "judge_correct": false, "attempts": 3, "retries": 2, "total_seconds": 177.0426, "transient_errors": ["RemoteProtocolError", "RemoteProtocolError"]}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 23, "image": "96a170be-c707-476a-87c6-8f9229dc9735_png.rf.088cef7f2ff77232fe6904a6836a5135.jpg", "expected": "upper row", "predicted": "upper row", "correct": true, "input_tokens": 1183, "output_tokens": 136, "elapsed_seconds": 5.039226458990015, "metadata": {"question": "For an arriving trailer needing an open marked bay, which row offers more parking options: upper row or lower row? Choose one: upper row or lower row.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.0985}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 24, "image": "f7ec4cc8-90a9-4a3f-8603-91de3073b392_png.rf.669686b7efc2f35cae0ce34ba90377ff.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1153, "output_tokens": 558, "elapsed_seconds": 8.173191457986832, "metadata": {"question": "Based on the position of the audio jack plugged into the panel, which side of the boy's head from his own perspective is closer to the plug? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.1855}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 25, "image": "b5ef866d-feb2-411f-ac5c-40c395cc3c62_png.rf.66b42d06fd426729cfaf37fe699ef682.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1179, "output_tokens": 339, "elapsed_seconds": 6.68247179093305, "metadata": {"question": "If a person walks in a straight line from the trampoline in the middle yard to the swing set in the left yard, how many property fence lines must they cross? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.789}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 26, "image": "eeee1640-5005-460c-a3f3-12dfff951fc5_png.rf.f39545ddd7734560dd9a051e2c230c8c.jpg", "expected": "right side", "predicted": "right side", "correct": true, "input_tokens": 1163, "output_tokens": 391, "elapsed_seconds": 6.974920207983814, "metadata": {"question": "Based on the perspective of a driver sitting inside the van and looking forward, on which side of the vehicle is the textured concrete wall located? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.0221}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 27, "image": "8a9b0190-2516-4613-a33c-114cf5eb8993_png.rf.923b9627464a61d6941c095f16b9c069.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1161, "output_tokens": 613, "elapsed_seconds": 8.67327024997212, "metadata": {"question": "If every visible wrapped burger must be served with its own bag of fries, how many additional bags of fries are needed? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.7385}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 28, "image": "2f5026b8-8dc1-4831-94a4-d9f1c102b0fd_png.rf.17d85e9f6c9abd757c801aa0d47f423e.jpg", "expected": "9", "predicted": "9", "correct": true, "input_tokens": 1148, "output_tokens": 797, "elapsed_seconds": 11.794660208048299, "metadata": {"question": "Counting from the start date of Steel Fabrication to the start date of Fit off on this schedule, how many days elapse in total? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.9219}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 29, "image": "f4155be5-83b2-4214-89e0-b21906a781bd_png.rf.f865f92d82e075d8770a8aa212800d2e.jpg", "expected": "48.50", "predicted": "48.50", "correct": true, "input_tokens": 1167, "output_tokens": 1069, "elapsed_seconds": 11.039973916020244, "metadata": {"question": "What is the actual total cost of all liquid beverages (Coke Zero, Pot Of Tea, Mochaccino, and Latte) listed on the receipt? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.1002}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 30, "image": "f4155be5-83b2-4214-89e0-b21906a781bd_png.rf.f865f92d82e075d8770a8aa212800d2e.jpg", "expected": "247.50", "predicted": "247.50", "correct": true, "input_tokens": 1158, "output_tokens": 670, "elapsed_seconds": 7.730497666983865, "metadata": {"question": "If the group had ordered only one Mochaccino instead of two, what would the new total bill be? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.7938}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 31, "image": "c9b00dcb-e093-43d9-baf8-f1971ff328af_png.rf.41492638acc0aba933dc61f9c675d2c7.jpg", "expected": "22", "predicted": "22", "correct": true, "input_tokens": 1144, "output_tokens": 823, "elapsed_seconds": 9.612004209076986, "metadata": {"question": "If a patient takes one capsule per day from this pack, how many days of medication are remaining in the pack? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.6642}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 32, "image": "b4ac0ec8-9f7d-4769-ae70-3d0a959ca24b_png.rf.85ff21bb1ee3df65bbc402ec233ed80a.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1189, "output_tokens": 873, "elapsed_seconds": 10.247222584090196, "metadata": {"question": "If the green and blue rings on the right-hand board were swapped, how many ring positions on that board would still differ from the left-hand board? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.2909}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 33, "image": "34d45dd0-c14f-4a0a-9ff1-031d92a49ca1_png.rf.85c2cfa50183c292a49aaa7c9b2f0064.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1191, "output_tokens": 491, "elapsed_seconds": 8.660789542016573, "metadata": {"question": "Based on the orientation of the stopped green SUV, on which side of the vehicle is the fallen motorcyclist lying from the perspective of a driver sitting inside looking forward? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.7114}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 34, "image": "403906f1-d101-4a15-b0b3-43f90df6b13e_png.rf.9db9421ec54b4a1bf4b5d2a3462836c6.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1182, "output_tokens": 571, "elapsed_seconds": 9.020110166980885, "metadata": {"question": "From the perspective of the man standing and walking along the aisle, on which side is the passenger holding reading papers seated? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.115}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 35, "image": "5a48fe25-9006-45d1-ac0c-fab115eb5d1a_png.rf.3951f54e9e9535809ab4efc645c98048.jpg", "expected": "1", "predicted": "2", "correct": false, "input_tokens": 1153, "output_tokens": 24050, "elapsed_seconds": 243.12671037495602, "metadata": {"question": "Based on the stacking limit symbol printed on the boxes, what is the maximum number of additional identical boxes that can be safely stacked on top of the foreground box? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 243.2105}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 36, "image": "6711dc5a-8b63-441e-8fea-910b9298bde9_png.rf.7ed399c3d00da2923147fe6901bc90e0.jpg", "expected": "3", "predicted": "1", "correct": false, "input_tokens": 1160, "output_tokens": 1736, "elapsed_seconds": 23.50460645905696, "metadata": {"question": "A worker wants to fill the crate's empty floor space with more punnets of the same size, laid flat in a single layer alongside the existing ones. How many additional punnets fit? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 23.58}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 37, "image": "04a7e555-066a-4662-be7d-1fab1d0a89bb_png.rf.1c99b9faeb404517267846787ed66438.jpg", "expected": "decreased", "predicted": "decreased", "correct": true, "input_tokens": 1141, "output_tokens": 277, "elapsed_seconds": 5.322232333943248, "metadata": {"question": "To move the shown pressure into the green band, should the system pressure be increased or decreased? Choose one: increased or decreased.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.3996}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 38, "image": "1710a83d-1506-464e-83bf-f015141f1c37_png.rf.bca4b5702f3d41d061d317ac2e0ea038.jpg", "expected": "10", "predicted": "10", "correct": true, "input_tokens": 1183, "output_tokens": 1307, "elapsed_seconds": 11.352281750063412, "metadata": {"question": "If a patient can only attend appointments at or after 11:00 AM, how many of the displayed time slots across the entire week are available to them? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.3671}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 39, "image": "1f2fe1d2-a6a6-4e60-a8e9-5a44e686ea1f_png.rf.e04f0049aa2caa0571f54b741224339f.jpg", "expected": "0", "predicted": "0", "correct": true, "input_tokens": 1167, "output_tokens": 457, "elapsed_seconds": 7.7528791659278795, "metadata": {"question": "How many of the cans on the table are lying on their side rather than standing upright? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.8195}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 40, "image": "986ae5b8-bac5-432c-9ab1-afa7c98c2ef6_png.rf.004ba60e063ba1ac27b397a96d9539ee.jpg", "expected": "ASML Hld", "predicted": "ASML Hld", "correct": true, "input_tokens": 1188, "output_tokens": 373, "elapsed_seconds": 4.885519583011046, "metadata": {"question": "Which of the following stocks listed under the letter 'A' has a 'Last' price that exceeds its listed 52-week High? Choose one: ASML Hld, ASV Inc s, ATI Tech, or ATMI Inc.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.9108}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 41, "image": "0de03edc-15c5-4782-a74b-7cedb1df477b_png.rf.25fbbbda8291953bf4362acd5ea98104.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1187, "output_tokens": 212, "elapsed_seconds": 3.7664261249592528, "metadata": {"question": "Based on the sequential numbering of the exercises, how many numbered problems between (1) and (14) are missing from this worksheet? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.7818}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 42, "image": "107aeb67-63af-49d6-874c-d2505fa3fa43_png.rf.dd08291695888d5c30c0c4d82e0d1f5c.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1148, "output_tokens": 504, "elapsed_seconds": 8.11776550009381, "metadata": {"question": "To open the left door of the container, what is the minimum number of vertical locking bars that must be disengaged across the entire container? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.2197}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 43, "image": "3798710d-6abc-41a9-a6fa-69b36af142fd_png.rf.7513f727ea31e7a4d75594a64c1cd041.jpg", "expected": "168", "predicted": "168", "correct": true, "input_tokens": 1191, "output_tokens": 691, "elapsed_seconds": 9.509970167069696, "metadata": {"question": "According to the red digital display on the right, the current time is shown on the bottom line. If the train is scheduled to reach its destination at 09:35, how many minutes of travel time remain? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.5895}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 44, "image": "dce06136-2d24-422b-a3b6-e100c9a4bad1_png.rf.ac128576e826b2eca821e98b5f31f992.jpg", "expected": "Bihar", "predicted": "Bihar", "correct": true, "input_tokens": 1186, "output_tokens": 325, "elapsed_seconds": 4.86549262504559, "metadata": {"question": "A quality inspector sees a pack whose printed batch number begins with the characters 'AB'. According to the information on this pack, in which Indian state was that pack manufactured? Choose one: Bihar, Haryana, Assam, or Punjab.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.9152}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 45, "image": "de2bbe1d-be94-4d71-97d8-2c316733c49d_png.rf.3e37eee81410925ab9219df63ec1cca0.jpg", "expected": "10", "predicted": "10", "correct": true, "input_tokens": 1167, "output_tokens": 1626, "elapsed_seconds": 18.249816291965544, "metadata": {"question": "If a person consumes exactly three packets per day, what is the maximum number of full days this box of packets will last? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 18.2749}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 46, "image": "09c2792b-3755-4eee-828f-fa0c2567760f_png.rf.c5f2d9113af4bbc2882b49e0ae573966.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1206, "output_tokens": 2747, "elapsed_seconds": 30.163589834002778, "metadata": {"question": "To balance the shelves so that both have an equal number of books, how many books must be moved from the bottom shelf to the top shelf? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 30.2052}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 47, "image": "57ae8fef-d674-43e7-9cf4-e7aeddb9e311_png.rf.88bc8729d68c7e1a097ea61f60d08ffc.jpg", "expected": "400", "predicted": "400", "correct": true, "input_tokens": 1167, "output_tokens": 1819, "elapsed_seconds": 21.431543292012066, "metadata": {"question": "What is the total value of all the banknotes shown in the image, in Malaysian Ringgit (RM)? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 21.5311}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 48, "image": "26584325-f95e-41e4-9f4b-99afc5ff078d_png.rf.9c541fbfbbd37f1e00d8f04f9ac40b45.jpg", "expected": "beetroot", "predicted": "beetroot", "correct": true, "input_tokens": 1151, "output_tokens": 305, "elapsed_seconds": 5.971901917015202, "metadata": {"question": "Based on the details of the planted vegetables, which specific vegetable was planted from a tray instead of 6-packs? Choose one: beetroot, celery, coriander, or marigold.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.0513}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 49, "image": "20b7a85e-989a-4fa8-b275-6a1d92d2118a_png.rf.3bcf6e487a9fb4eb1f3f3848b5465060.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1183, "output_tokens": 136, "elapsed_seconds": 3.626460542087443, "metadata": {"question": "If the white ball-handler shoots without moving his feet, how many points would a made basket be worth under standard basketball rules? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.6823}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 50, "image": "7a31b46f-531b-43e7-895b-4e25e049abb3_png.rf.119ce2ebe0cff7f16bc80422173c188a.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1139, "output_tokens": 673, "elapsed_seconds": 9.689925916027278, "metadata": {"question": "If only the visible rear door were replaced, would all of the visible scrape damage be eliminated? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.7576}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 51, "image": "7a31b46f-531b-43e7-895b-4e25e049abb3_png.rf.119ce2ebe0cff7f16bc80422173c188a.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1139, "output_tokens": 201, "elapsed_seconds": 5.47690541704651, "metadata": {"question": "From the perspective of a driver seated inside and facing forward, which side is it? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.5441}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 52, "image": "82172a50-05ec-4f75-9b67-02d726a97981_png.rf.b6b418d86b460b5df29a48b3cf9bff9f.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1146, "output_tokens": 2249, "elapsed_seconds": 32.509418083005585, "metadata": {"question": "This car is driving toward the viewer's position, and this road follows right-hand traffic rules. Is the car currently keeping to its correct side of the road? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 32.5566}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 53, "image": "612c657e-0e9c-4b2b-a741-2d1b1158c172_png.rf.e46b67734667d8de639182c1c6b58968.jpg", "expected": "left hand", "predicted": "left hand", "correct": true, "input_tokens": 1146, "output_tokens": 362, "elapsed_seconds": 10.046908125048503, "metadata": {"question": "Based on the anatomical structure and the grip shown, which of the person's hands is holding the paper? Choose one: left hand or right hand.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.1281}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 54, "image": "bc085807-a87c-42c4-85dc-07885733dac6_png.rf.86d16faa2e4e01ea9b2f076098eda3da.jpg", "expected": "2805.47", "predicted": "2805.47", "correct": true, "input_tokens": 1192, "output_tokens": 640, "elapsed_seconds": 6.847015584004112, "metadata": {"question": "If the customer adds two more units of Product XYZ while the unit price and tax rate stay the same, what will the revised invoice total be? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.8558}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 55, "image": "4d261616-1f0b-4f51-8ebe-eaee7b84825e_png.rf.e8a48b995002e60e7809ef941602370f.jpg", "expected": "left side", "predicted": "left side", "correct": true, "input_tokens": 1162, "output_tokens": 426, "elapsed_seconds": 5.896009917021729, "metadata": {"question": "From the perspective of a driver seated inside and facing forward, which side of the car contains the visible damage? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.9093}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 56, "image": "7d7e098f-4a0d-4864-b2ea-d57988d4d061_png.rf.950712e3033a1d927b27752329326738.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1180, "output_tokens": 1043, "elapsed_seconds": 13.900836916989647, "metadata": {"question": "From the perspective of a driver inside the blue SUV at the bottom of the image looking forward, on which side of their vehicle is the yellow Mazda? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 14.0246}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 57, "image": "19f45907-d682-40cf-bb87-9133dc873871_png.rf.8d5ae1def0513a436febceba4ca296a6.jpg", "expected": "left hand", "predicted": "left hand", "correct": true, "input_tokens": 1195, "output_tokens": 281, "elapsed_seconds": 4.641328042023815, "metadata": {"question": "Based on the visible features and orientation of the hand pressing the button, which of the person's hands is being used? Choose one: left hand or right hand.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.6659}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 58, "image": "347cb08d-5018-4506-8ff7-6052b5215bee_png.rf.f2241527449eeba4edc25991a9428857.jpg", "expected": "19190.95", "predicted": "19190.95", "correct": true, "input_tokens": 1199, "output_tokens": 555, "elapsed_seconds": 7.287955165957101, "metadata": {"question": "If the e-transfer withdrawal to 'budget AUTO glass' on July 15 had not occurred, what would the final balance be after the transaction on July 16? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.3166}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 59, "image": "6bdb57de-1206-40d4-a60a-1ac4c22a0468_png.rf.a9d75682ae8f6507d6225b4fa0e1d7f6.jpg", "expected": "right side", "predicted": "right side", "correct": true, "input_tokens": 1177, "output_tokens": 370, "elapsed_seconds": 5.760260249953717, "metadata": {"question": "From the perspective of the driver sitting inside the vehicle looking forward, on which side of the dashboard is the plush toy located? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.7874}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 60, "image": "97a91186-1382-40c6-8e10-ca36e7a94269_png.rf.f9de5fd2b340b608eb21d6e7fc1d9949.jpg", "expected": "parallel", "predicted": "parallel", "correct": true, "input_tokens": 1186, "output_tokens": 334, "elapsed_seconds": 7.197585416026413, "metadata": {"question": "Consider the log currently held in the grapple above the pile. Is its long axis oriented parallel or perpendicular to the logs stacked in the pile? Choose one: parallel or perpendicular.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.2184}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 61, "image": "68b07f85-3cf2-4e70-af98-06ef0c9d2c58_png.rf.d63e64af870bba743f8c88c43567124d.jpg", "expected": "unloading", "predicted": "loading", "correct": false, "input_tokens": 1168, "output_tokens": 1862, "elapsed_seconds": 28.613474374986254, "metadata": {"question": "Based on the worker's posture and direction of movement, is he loading the stack of red crates into the truck or unloading them from the truck? Choose one: loading or unloading.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 28.6666}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 62, "image": "db85c5c8-8aa2-4f36-93dd-7f73a9c7b9c0_png.rf.d13c340009833ccd6defe35016843595.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1186, "output_tokens": 416, "elapsed_seconds": 7.203860374982469, "metadata": {"question": "From the perspective of a driver sitting inside the car and looking forward, on which side of the vehicle is the 'SPORT' badge located? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.2581}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 63, "image": "2e1a4d87-f03c-4189-9406-7968664edda2_png.rf.7605c122843447cd3cbdda9bfc61fe25.jpg", "expected": "2700.00", "predicted": "2700.00", "correct": true, "input_tokens": 1192, "output_tokens": 591, "elapsed_seconds": 8.553234082995914, "metadata": {"question": "If the same supplier shipped 100 additional cartons of head gear at the same average per-carton weight implied by this invoice, what would the new total gross weight be in kilograms? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.5989}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 64, "image": "2e15743f-6bc8-4cce-8ec0-66eea3a6ca2f_png.rf.dff2a916b2154426e2043eda4cd591dd.jpg", "expected": "5", "predicted": "3", "correct": false, "input_tokens": 1176, "output_tokens": 1867, "elapsed_seconds": 24.383584292023443, "metadata": {"question": "How many vertical columns in the vending machine contain at least one Pepsi can? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 24.4246}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 65, "image": "3f655000-3416-4906-8785-f716a5195996_png.rf.43d1001a93452d12ad70e047d2c6ed7e.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1184, "output_tokens": 427, "elapsed_seconds": 7.157493417034857, "metadata": {"question": "If you want to prepare breakfast plates that each require exactly 2 eggs and half an apple, what is the maximum number of such plates you can complete using only the visible eggs and apples? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.2612}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 66, "image": "4b1a9f4a-6b60-4350-b603-55755b49eaa7_png.rf.1a82163a0fad58cd34885043f4c4eb55.jpg", "expected": "15", "predicted": "15", "correct": true, "input_tokens": 1174, "output_tokens": 535, "elapsed_seconds": 5.948534582974389, "metadata": {"question": "At V_DS = 10 V, what is the approximate increase in drain current when V_GS rises from 6 V to 7 V? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.9705}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 67, "image": "0b0da260-9ab1-48b3-a909-03dc21a83345_png.rf.be24612c532b032d65b0228f30386968.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1179, "output_tokens": 625, "elapsed_seconds": 8.711224041995592, "metadata": {"question": "If you need to retrieve the box sealed with blue tape, what is the minimum number of other boxes you must remove first so that it is completely unobstructed from above? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.8037}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 68, "image": "214d5a30-f38a-4509-bd53-1e3ea49f9c8b_png.rf.adb2216acfcf57012a8ae573e973f1ca.jpg", "expected": "11.80", "predicted": "11.80", "correct": true, "input_tokens": 1156, "output_tokens": 722, "elapsed_seconds": 9.049519375083037, "metadata": {"question": "What is the total amount of GST commission charges (NEFT-GST-COMMISSION) debited on September 15, 2025? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.1151}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 69, "image": "a605175c-be9c-4e9b-8f69-540e233aa5e8_png.rf.3f3d5135536b2e36c9325081fe4f36ee.jpg", "expected": "left side", "predicted": "left side", "correct": true, "input_tokens": 1202, "output_tokens": 315, "elapsed_seconds": 5.735960707999766, "metadata": {"question": "Based on the position of the wheel and the wrapping of the bumper, which side of the vehicle (from the perspective of a driver sitting inside and looking forward) is damaged? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.7701}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 70, "image": "01d2cf72-1e3e-425b-8743-ef01ca46252d_png.rf.3f9dc60e26c06dbdc9181e5b067126a0.jpg", "expected": "46.2%", "predicted": "46.2%", "correct": true, "input_tokens": 1172, "output_tokens": 628, "elapsed_seconds": 7.012209416017868, "metadata": {"question": "Based on the nutritional information per 100g, what percentage of the total fat is saturated fat? Answer with a percentage rounded to one decimal place.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.0325}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 71, "image": "423751b4-264a-4fed-acd4-7432a257389d_png.rf.aca151f72457b1604c2dc4b92bce1c2e.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1182, "output_tokens": 546, "elapsed_seconds": 6.75182450003922, "metadata": {"question": "Based on the technical drawing, what is the total tolerance range (the difference between the maximum and minimum allowable values) for the dimension associated with balloon 24? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.7807}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 72, "image": "86827a6f-9148-40bc-84eb-1f26a69fb426_png.rf.7a36b6597b39ee2cb27e013247477184.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1162, "output_tokens": 564, "elapsed_seconds": 7.476881375070661, "metadata": {"question": "From the perspective of a driver sitting inside the white truck in the foreground and looking forward, on which side of their vehicle is the black SUV? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.5086}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 73, "image": "dfe78d58-fa15-49ac-8673-04b364aaf8f6_png.rf.343b9ddb4be588f14fa49047c656c256.jpg", "expected": "opposite side", "predicted": "same side", "correct": false, "input_tokens": 1197, "output_tokens": 4518, "elapsed_seconds": 56.96349362505134, "metadata": {"question": "Based on the direction of the shadows cast on the dock, is the sun located on the same side of the ship as the dock, or on the opposite side of the ship? Choose one: same side, or opposite side.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 57.0196}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 74, "image": "85119d73-c38d-44d4-80b9-f7cfc4848029_png.rf.6faf117b9b48a03e7226813130cb8c31.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1203, "output_tokens": 1362, "elapsed_seconds": 16.935698749963194, "metadata": {"question": "Treat each occupied compartment as one movable stack. What is the minimum number of whole stacks that must be moved so that no two adjacent occupied compartments contain the same color? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 16.968}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 75, "image": "73825c5f-4954-4824-8572-64ed5602323c_png.rf.fac850718e77f19df27b7bf90d021ba7.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1146, "output_tokens": 282, "elapsed_seconds": 4.69287833396811, "metadata": {"question": "What is the minimum number of doors a person must pass through to travel from Bedroom 2 to Bedroom 4? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.7068}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 76, "image": "ea00a7d2-1d73-45a3-8950-7f911a746913_png.rf.6d8d4591e8c887c3d43e174e43cfd621.jpg", "expected": "24", "predicted": "24", "correct": true, "input_tokens": 1154, "output_tokens": 629, "elapsed_seconds": 7.546177124953829, "metadata": {"question": "Based on the 'Hired From' and 'Hired To' dates listed under Employment Data, for how many full years was the subject employed at SOLAR TRADE? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.5633}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 77, "image": "e8894dda-fd01-4e8f-b233-7aa1c6924174_png.rf.f8d49103c494c77bf0b4a1c79b12bd32.jpg", "expected": "145", "predicted": "145", "correct": true, "input_tokens": 1161, "output_tokens": 248, "elapsed_seconds": 5.088355624931864, "metadata": {"question": "What is the difference in grams between the target weight indicated in the product name and the actual net quantity of this muskmelon? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.1334}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 78, "image": "29f47b83-0092-4736-a8e7-b3ef23a92354_png.rf.fb2f7e6c321affb606a4919b6a7433ae.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1178, "output_tokens": 175, "elapsed_seconds": 3.2261743750423193, "metadata": {"question": "Based on the handwritten dates at the top of the form, how many days elapse between the date the document was written and its effective date? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.2411}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 79, "image": "5cf55f37-8adb-4adb-9520-148340548028_png.rf.e1605fd47b5ae75ba9c34cdcde09e17c.jpg", "expected": "July 10, 2016", "predicted": "July 10, 2016", "correct": true, "input_tokens": 1204, "output_tokens": 1227, "elapsed_seconds": 16.226721040904522, "metadata": {"question": "According to the payment terms and the invoice date, when is payment due? Choose one: June 10, 2016; July 10, 2016; July 5, 2016; August 10, 2016.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 16.2446}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 80, "image": "dae8c81a-4de4-4ef4-9301-25ca1ba03574_png.rf.d6aaed535d1e3ed00116c2b44301deea.jpg", "expected": "away", "predicted": "toward", "correct": false, "input_tokens": 1196, "output_tokens": 1563, "elapsed_seconds": 21.45672433299478, "metadata": {"question": "If a worker grabbed the yellow pallet jack's handle and pulled it straight in the direction the handle currently points, would the jack move generally toward the central packing table or away from it? Choose one: toward or away.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 21.5114}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 81, "image": "9056e25e-2e7e-4746-b766-49e5c6aa52df_png.rf.9e357fa580bcb749370734803ddf5655.jpg", "expected": "left side", "predicted": "left side", "correct": true, "input_tokens": 1181, "output_tokens": 326, "elapsed_seconds": 6.502367459004745, "metadata": {"question": "Based on the door handle's position relative to the vertical seam and the wheel arch at the bottom, which side of the vehicle is shown (from the perspective of a passenger sitting inside and facing forward)? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.551}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 82, "image": "47ad34a1-d784-48fd-bf0b-9814791703e3_png.rf.0d90c040409da9a682d9d7db5b14476f.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1162, "output_tokens": 614, "elapsed_seconds": 11.358162416960113, "metadata": {"question": "If the Mercedes moves exactly one lane to its left, would it enter the same lane currently occupied by the smaller black car ahead? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.4313}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 83, "image": "0f7a1b1b-b0f9-4dba-9659-0455701b7a3f_png.rf.28278968509f5982105a211e62ac44b1.jpg", "expected": "yes", "predicted": "yes", "correct": true, "input_tokens": 1141, "output_tokens": 482, "elapsed_seconds": 5.442258500028402, "metadata": {"question": "Would improving only the attributes currently rated 4 be sufficient to make every listed attribute receive the highest rating? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.4582}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 84, "image": "0f7a1b1b-b0f9-4dba-9659-0455701b7a3f_png.rf.28278968509f5982105a211e62ac44b1.jpg", "expected": "4.5", "predicted": "4.5", "correct": true, "input_tokens": 1139, "output_tokens": 402, "elapsed_seconds": 4.938699749996886, "metadata": {"question": "What is the average score of the attributes associated with PO11? Answer with a number rounded to one decimal place.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.9534}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 85, "image": "be797fcf-056b-44b2-a1da-b667c3185959_png.rf.29cfb688a5b86d169cb8732bb04f0f72.jpg", "expected": "22", "predicted": "23", "correct": false, "input_tokens": 1166, "output_tokens": 4062, "elapsed_seconds": 45.31818833295256, "metadata": {"question": "If the black tray in the foreground has a total capacity of 10 rows with 5 slots per row, how many more devices are needed to completely fill it? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 45.3736}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 86, "image": "861cb64d-800a-4635-999c-739199f8b473_png.rf.c6b83038f9d574bf6dccf2b1554017ec.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1170, "output_tokens": 418, "elapsed_seconds": 5.30366408394184, "metadata": {"question": "Based on the date of the letter and the details provided in the text, how many days are expected to elapse between the date the check was mailed and the date MDA is expected to receive it? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.3228}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 87, "image": "22c3fc7f-6563-4f41-8eac-8c7d425b5633_png.rf.2dd8b94855832744d13e2f1185950566.jpg", "expected": "18", "predicted": "18", "correct": true, "input_tokens": 1173, "output_tokens": 791, "elapsed_seconds": 9.172121791983955, "metadata": {"question": "Based on the manpower details table, what is the total number of normal hours (NOR) worked by all listed employees combined on this day? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.2062}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 88, "image": "e47241e5-70ca-420f-9c96-05b3095ff135_png.rf.7a32ff91ffc2f7aad43c713c84c3052b.jpg", "expected": "G003...80", "predicted": "G003...80", "correct": true, "input_tokens": 1227, "output_tokens": 540, "elapsed_seconds": 6.412306959042326, "metadata": {"question": "A designer needs a resistor with a resistance of 2.0 k\u03a9 and a tolerance of \u00b10.05%. Based on the specifications, what is the Global Model of the lightest resistor that meets these requirements? Choose one: G001...80, G002, G003...80, or G005.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.4627}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 89, "image": "1c9d39fb-7707-4058-8d39-5ef46b4d46bf_png.rf.3c3842ab73120c2d5d767bf08e3b9b44.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1186, "output_tokens": 426, "elapsed_seconds": 6.763350332970731, "metadata": {"question": "From the perspective of the driver seated inside the white pickup and facing its direction of travel, on which side of the truck is the pedestrian? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.8248}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 90, "image": "2d031b53-a61c-4de0-b98e-52b14a4c6fcc_png.rf.1abec44486981464bee69aff5fc4acdd.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1158, "output_tokens": 1031, "elapsed_seconds": 12.15860845905263, "metadata": {"question": "Assuming each of the two pizzas on the warming station was originally cut into 6 equal slices, how many slices in total have been sold? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 12.189}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 91, "image": "d06e0e70-1bed-4998-bcd4-bc8eccac71d3_png.rf.bd4e209d1eda6cadcb0362c0e61a56a0.jpg", "expected": "253730", "predicted": "253730", "correct": true, "input_tokens": 1183, "output_tokens": 585, "elapsed_seconds": 7.452152417041361, "metadata": {"question": "Using a rule of Medium priority before Low priority, then earliest Created Date to break a tie, which visible ticket should be handled next? Answer with ticket ID.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.4862}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 92, "image": "d06e0e70-1bed-4998-bcd4-bc8eccac71d3_png.rf.bd4e209d1eda6cadcb0362c0e61a56a0.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1182, "output_tokens": 579, "elapsed_seconds": 7.148595666978508, "metadata": {"question": "What is the time difference in hours between the earliest and latest tickets created on Apr 6, 2026? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.1822}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 93, "image": "b3f197fe-81ad-4fc1-bd69-d3b01d48b2b8_png.rf.5abbc57e2abc00bdf8184ff41d45e10c.jpg", "expected": "right hand", "predicted": "left hand", "correct": false, "input_tokens": 1145, "output_tokens": 2718, "elapsed_seconds": 37.08193129207939, "metadata": {"question": "Based on the position of the thumb and fingers, which hand is the operator using to hold the scanner? Choose one: left hand or right hand.", "strict_correct": false, "judge_correct": false, "attempts": 2, "retries": 1, "total_seconds": 100.1126, "transient_errors": ["RemoteProtocolError"]}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 94, "image": "b3f197fe-81ad-4fc1-bd69-d3b01d48b2b8_png.rf.5abbc57e2abc00bdf8184ff41d45e10c.jpg", "expected": "up", "predicted": "up", "correct": true, "input_tokens": 1163, "output_tokens": 383, "elapsed_seconds": 6.3460600830148906, "metadata": {"question": "Keeping the scanner at its current tilt so the beam stays horizontal, in which direction should the worker shift the beam so it crosses a barcode's bars perpendicularly and can decode it? Choose one: up, down, left, or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.4272}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 95, "image": "0d8b9fdc-32fc-4324-9e81-414d7762982a_png.rf.10e3ab24f0cc229fc194f19150a9088a.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1167, "output_tokens": 402, "elapsed_seconds": 5.471225582994521, "metadata": {"question": "Which room number becomes completely isolated from all other rooms if the sliding door SD is closed? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.491}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 96, "image": "0d8b9fdc-32fc-4324-9e81-414d7762982a_png.rf.10e3ab24f0cc229fc194f19150a9088a.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1174, "output_tokens": 603, "elapsed_seconds": 9.559650041046552, "metadata": {"question": "What is the minimum number of doors a person must pass through to travel from BedRoom 2 to BathRoom 5? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.5799}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 97, "image": "56b1bbe0-a003-4ba6-8cb2-08dd2f74a08a_png.rf.48d53e8f7bf6d0dbcf9eb16889b0777a.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1177, "output_tokens": 176, "elapsed_seconds": 3.2670020840596408, "metadata": {"question": "Based on the relative timestamps shown in the screenshot of the thread, how many hours after Benji Taylor's post did Paul Macgregor post his response? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.2806}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 98, "image": "c2dd6dca-767e-4fe1-8dfb-ead3a37507db_png.rf.96bbfed9aead2bbd919d3b4c1237287a.jpg", "expected": "1.3%", "predicted": "1.3%", "correct": true, "input_tokens": 1178, "output_tokens": 1122, "elapsed_seconds": 16.23043866700027, "metadata": {"question": "Comparing the loading units and offloading units recorded on the note, what percentage of the loaded manganese ore fines was lost in transit? Answer with a percentage rounded to one decimal place.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 16.2768}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 99, "image": "c2dd6dca-767e-4fe1-8dfb-ead3a37507db_png.rf.96bbfed9aead2bbd919d3b4c1237287a.jpg", "expected": "520", "predicted": "520", "correct": true, "input_tokens": 1167, "output_tokens": 408, "elapsed_seconds": 7.130550417001359, "metadata": {"question": "What is the difference between the loading units and the offloading units recorded on this delivery note? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.1748}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 100, "image": "d8552ab5-9930-4bd4-a00c-0f4adbeb76e4_png.rf.fc1f316aa3e9348a20e81d0e619cfa66.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1183, "output_tokens": 1838, "elapsed_seconds": 23.649962791008875, "metadata": {"question": "If this document is folded exactly in half by bringing the top edge down to meet the bottom edge, will the two punched holes on the left margin align to overlap each other? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 23.6668}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 101, "image": "42990fe8-872a-4d4e-a1f9-7926a990b803_png.rf.542a9bb854b1ddec7ea9b3c71f102c32.jpg", "expected": "13", "predicted": "13", "correct": true, "input_tokens": 1140, "output_tokens": 485, "elapsed_seconds": 5.952807332971133, "metadata": {"question": "What is the difference between the number of recorded heights that are at least 150 centimetres and those that are under 142 centimetres? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.9576}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 102, "image": "bcf2178d-166f-4ae9-a0ef-40c03e873d7b_png.rf.45781833e957384c1cc81ae703e548a8.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1187, "output_tokens": 787, "elapsed_seconds": 11.255790875060484, "metadata": {"question": "Judging from the direction traffic travels on this roadway, which barrier are the two crashed SUVs resting against from the perspective of drivers on this road? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.299}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 103, "image": "e8acc7bd-43d8-4902-8871-758a81216657_png.rf.3fdb3f122bcab387f522f1113b53a202.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1193, "output_tokens": 931, "elapsed_seconds": 11.45579445909243, "metadata": {"question": "A goaltender standing in the crease of the visible net faces up-ice toward the oncoming play. Are the majority of the green-jerseyed players currently on his left side? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.5119}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 104, "image": "c9dbd271-e8bd-4a4c-9d90-dcc53a4910f6_png.rf.7b116829f9e80042e6ff64cae0ce75bd.jpg", "expected": "18", "predicted": "18", "correct": true, "input_tokens": 1193, "output_tokens": 1300, "elapsed_seconds": 14.595092208939604, "metadata": {"question": "Using standard chess piece values where a pawn is 1 point, a bishop or knight is 3 points, and a rook is 5 points, what is the total point value of the captured white pieces set aside on the right? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 14.6294}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 105, "image": "4409ba1c-5b55-47e4-8fb3-ed245021d0bb_png.rf.274f7c4fb87e3efa82cd64b8840d0de7.jpg", "expected": "75.00", "predicted": "75.00", "correct": true, "input_tokens": 1151, "output_tokens": 544, "elapsed_seconds": 6.794269541045651, "metadata": {"question": "If the customer had decided to keep the Lipsy Bikini Bottoms instead of returning them, what would the total refunded amount be? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.8399}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 106, "image": "dc0f068d-8a08-4674-8415-973756621fea_png.rf.e7ad2a97bf4cfd59534ddd786e1bfa09.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1180, "output_tokens": 1398, "elapsed_seconds": 12.309001874993555, "metadata": {"question": "What is the difference between the number of times 'C' is marked and the number of times 'D' is marked on this sheet? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 12.3121}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 107, "image": "fd40be2e-2c23-4d4f-9af8-bee299b30fb0_png.rf.d32862e3f7c08fa121abceaa35a724bf.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1142, "output_tokens": 1009, "elapsed_seconds": 10.83919412503019, "metadata": {"question": "How many of the 9 columns in the vending machine contain at least one bottle with a green cap? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.8876}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 108, "image": "39e13a5d-7f3d-4cb3-b99e-5a31236bdb32_png.rf.ac7593ea805bf54030232955f3054140.jpg", "expected": "38", "predicted": "38", "correct": true, "input_tokens": 1155, "output_tokens": 990, "elapsed_seconds": 9.020803250023164, "metadata": {"question": "If we want to fill the display cabinet so that every compartment contains exactly one car, how many additional cars must be added? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.0257}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 109, "image": "ed033e2a-4072-4930-98ed-35aa45aee1d9_png.rf.3b133b1ed5ad005654d6d55fde0e6a80.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1178, "output_tokens": 768, "elapsed_seconds": 10.47864662494976, "metadata": {"question": "From the perspective of a driver sitting inside the cab of the dump truck with the green tarp and looking forward, which side door of the cab is open? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.5383}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 110, "image": "25e6ed9c-2d37-4533-8021-977770aa97d1_png.rf.5e4c7a4776bb280dedd569d309846abd.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1182, "output_tokens": 351, "elapsed_seconds": 5.175289999926463, "metadata": {"question": "Without adding or removing any cylinders, can the load be rearranged so that all four horizontal rows contain exactly the same number of cylinders? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.2213}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 111, "image": "17a88e1e-fb1c-46f0-8620-8f19854b8fff_png.rf.e4fb269a60ea85233a7bdd3d43ef4aa1.jpg", "expected": "right side", "predicted": "right side", "correct": true, "input_tokens": 1195, "output_tokens": 311, "elapsed_seconds": 5.319265290978365, "metadata": {"question": "Based on the relative positions of the wheel and the front fog light, which side of the vehicle (from the perspective of a driver sitting inside and looking forward) is damaged? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.3403}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 112, "image": "3a1d4bd3-6db0-4cda-881d-e9ae4c194abb_png.rf.34d91902d10ee43e73241d5a9df8fa98.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1157, "output_tokens": 534, "elapsed_seconds": 8.963391792029142, "metadata": {"question": "From the perspective of an officer sitting in the driver's seat of this SUV and facing forward, on which side of the vehicle is the person in the hooded sweatshirt standing? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.033}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 113, "image": "0c721c3c-19a5-4857-89af-7d480d1a8ad6_png.rf.d4d68898257830e57382ff91e2ca4912.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1185, "output_tokens": 3398, "elapsed_seconds": 29.003493541968055, "metadata": {"question": "A patient must take medication only on odd-numbered days of the week (days 1, 3, 5, and 7), leaving even-numbered days (days 2, 4, and 6) empty. How many of the 28 trays are prepared exactly according to this schedule? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 29.069}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 114, "image": "0c721c3c-19a5-4857-89af-7d480d1a8ad6_png.rf.d4d68898257830e57382ff91e2ca4912.jpg", "expected": "8", "predicted": "8", "correct": true, "input_tokens": 1154, "output_tokens": 4708, "elapsed_seconds": 36.173926957999356, "metadata": {"question": "A patient must take medication every day of the week, with all seven days filled. How many of the 28 trays are prepared exactly according to this schedule? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 36.2399}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 115, "image": "fd7145ce-ff54-42eb-b555-006479012309_png.rf.b64dc2701743bae035f831b7e381d8a1.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1162, "output_tokens": 355, "elapsed_seconds": 4.896529083023779, "metadata": {"question": "Based on the handwritten entries in the rent table, how many of the listed periods have a base monthly rent of exactly $2500.00? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.9171}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 116, "image": "62bb473c-8343-402f-a809-8a36d42884ff_png.rf.979d16777be23bdc0037837ff45a8b29.jpg", "expected": "14", "predicted": "14", "correct": true, "input_tokens": 1196, "output_tokens": 1607, "elapsed_seconds": 16.835464915959165, "metadata": {"question": "If a fully stocked column in this tray contains exactly 7 ice creams, how many additional ice creams are needed to fully stock all 7 columns (numbered 31 through 37)? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 16.8864}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 117, "image": "94bfcdd8-0a2b-4903-95da-34fea7e1899c_png.rf.73c78580b0e05542ed686abf5b77f46d.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1151, "output_tokens": 307, "elapsed_seconds": 5.0521500000031665, "metadata": {"question": "Based on the printed date of birth and date of expiry, will the cardholder have already turned 40 years old by the time this card expires? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.1108}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 118, "image": "b8891395-36f3-42e5-a1d2-616a922e0771_png.rf.b7e3860f9d0d9ab3e7f7fd0a6742a738.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1165, "output_tokens": 1337, "elapsed_seconds": 18.30085424997378, "metadata": {"question": "Before the pharmacist can sweep the loose capsules on the tray surface into the transparent channel at the top, must the clear cover first be lifted open? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 18.3892}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 119, "image": "7315cbf8-64fb-436e-8446-d2f061545df7_png.rf.6f038540710afe5f888b22200ca39932.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1138, "output_tokens": 1039, "elapsed_seconds": 18.094150874996558, "metadata": {"question": "What is the minimum number of additional dominoes needed so that all five visible tiles can be used in one valid matching chain? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 18.147}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 120, "image": "7315cbf8-64fb-436e-8446-d2f061545df7_png.rf.6f038540710afe5f888b22200ca39932.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1146, "output_tokens": 1096, "elapsed_seconds": 12.268808958004229, "metadata": {"question": "If no new dominoes may be added, what is the minimum number of visible tiles that must be left out to arrange all the others as one valid matching chain? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 12.3204}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 121, "image": "7315cbf8-64fb-436e-8446-d2f061545df7_png.rf.6f038540710afe5f888b22200ca39932.jpg", "expected": "8", "predicted": "8", "correct": true, "input_tokens": 1138, "output_tokens": 551, "elapsed_seconds": 7.288429500069469, "metadata": {"question": "What is the total number of dots (pips) across all the dominoes that have at least one completely blank half? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.3505}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 122, "image": "841a0a03-fb48-4b1b-8e75-8abef424a913_png.rf.f11c6efbf5e3b71b7477a83694d80fce.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1154, "output_tokens": 310, "elapsed_seconds": 5.649916541064158, "metadata": {"question": "If the container is carrying 28,000 kg of cargo, can an additional 900 kg shipment be loaded without exceeding the stated payload limit? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.729}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 123, "image": "ddb36742-789d-4a6f-a256-5998c9acd5cd_png.rf.f0ede67f0e9f049e1f036fb52b97641d.jpg", "expected": "4.40", "predicted": "4.40", "correct": true, "input_tokens": 1127, "output_tokens": 1674, "elapsed_seconds": 15.378416417050175, "metadata": {"question": "Based on the regular prices listed on the receipt, how much total money was saved on the discounted items compared to their regular prices? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 15.4211}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 124, "image": "3cd889b7-4626-47fe-af90-b98b2d5ffdfc_png.rf.7515e2b89f3d7561f907f84154e00de5.jpg", "expected": "3921.09", "predicted": "3921.09", "correct": true, "input_tokens": 1195, "output_tokens": 2337, "elapsed_seconds": 27.08129249990452, "metadata": {"question": "Among the seven individual items listed in the table on this page, what is the sum of the amounts for the items that expire in the year 2028? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 27.141}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 125, "image": "3cd889b7-4626-47fe-af90-b98b2d5ffdfc_png.rf.7515e2b89f3d7561f907f84154e00de5.jpg", "expected": "15", "predicted": "15", "correct": true, "input_tokens": 1188, "output_tokens": 842, "elapsed_seconds": 10.297145499964245, "metadata": {"question": "Among the seven individual items listed in the table on this page, what is the total quantity of items that have a discount of 6.00%? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.342}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 126, "image": "f035f306-754e-4ab9-bd14-80de6cb9353f_png.rf.463bdd12d569cb3ed06ddefa4f7c0544.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1141, "output_tokens": 635, "elapsed_seconds": 8.618788957945071, "metadata": {"question": "If you group all the visible beans into sets of three, how many beans will remain ungrouped? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.683}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 127, "image": "32beea2c-22a7-4032-9914-2b8af79a6ca6_png.rf.afa9d4a51e3264b766523b0b6c43118f.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1164, "output_tokens": 280, "elapsed_seconds": 4.75058237509802, "metadata": {"question": "Does the circled total score in red at the bottom-left corner equal the sum of all individual question scores marked in red on this page? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.7756}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 128, "image": "1b4e5426-d109-4398-8e45-ab1dc497980f_png.rf.da896199922990bcefe9fec6ce57cec6.jpg", "expected": "11", "predicted": "11", "correct": true, "input_tokens": 1190, "output_tokens": 867, "elapsed_seconds": 8.021930249989964, "metadata": {"question": "If each correct red-circled response earns one point and the blue worked example is excluded, what is the student's score out of 12? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.0453}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 129, "image": "864cf752-35ed-44ca-9e73-a27ba19cecb3_png.rf.d9a6b6882d7d84ae1066efdb3590df46.jpg", "expected": "12", "predicted": "12", "correct": true, "input_tokens": 1182, "output_tokens": 626, "elapsed_seconds": 9.183005791972391, "metadata": {"question": "If the player currently holding the ball successfully shoots and scores from her current position, what will Washington's total score become? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.219}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 130, "image": "bffbaa49-7832-430e-995d-4db0336f7444_png.rf.705666d967baf405ca5b8c91e2e291d1.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1167, "output_tokens": 1135, "elapsed_seconds": 13.716116667026654, "metadata": {"question": "If three nuts are allocated to one mounting job, can five complete mounting jobs be supplied from the visible nuts? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 13.7642}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 131, "image": "3cc9dff1-0e00-4900-9013-00d7b1be6a09_png.rf.4fb05de3247bdec3e1119e997d8f465b.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1206, "output_tokens": 2430, "elapsed_seconds": 27.71011745801661, "metadata": {"question": "Based on the runners' current positions relative to the finish line on the right, which lane contains the runner currently in second place? Answer with a single integer, counting lanes from top (Lane 1) to bottom (Lane 8).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 27.7281}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 132, "image": "4963b4c1-9126-48bc-ac30-e28cf692d079_png.rf.b0fe0fbf8e74b310187bebdb4e04529c.jpg", "expected": "right side", "predicted": "right side", "correct": true, "input_tokens": 1190, "output_tokens": 408, "elapsed_seconds": 9.014009333099239, "metadata": {"question": "Based on the visible wheel and headlight positions, which front side of the vehicle has the scuffed fender from the driver's forward-facing perspective? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.1104}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 133, "image": "6b1464af-2a20-4dc1-9b69-67b163aad58b_png.rf.5558871ebbc74585da7539ae1c82803b.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1158, "output_tokens": 1661, "elapsed_seconds": 16.74385666695889, "metadata": {"question": "Identify the column in the seedling tray that contains the longest continuous vertical sequence of empty plugs (containing only soil with no sprouted seedlings). How many empty plugs are in this longest sequence? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 16.8359}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 134, "image": "6b1464af-2a20-4dc1-9b69-67b163aad58b_png.rf.5558871ebbc74585da7539ae1c82803b.jpg", "expected": "top half", "predicted": "top half", "correct": true, "input_tokens": 1163, "output_tokens": 2995, "elapsed_seconds": 25.910017917049117, "metadata": {"question": "If the seedling tray is divided horizontally into a top half (rows 1 to 6) and a bottom half (rows 7 to 12), which half contains more empty plugs? Choose one: top half or bottom half.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 25.9862}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 135, "image": "dea1a5c6-1f2e-4b07-946a-898cd8732f5f_png.rf.2317c0f63fa82df7683229a1fb7f5cd0.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1135, "output_tokens": 511, "elapsed_seconds": 8.445777999935672, "metadata": {"question": "How many shelves in the vending machine are stocked exclusively with water bottles? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.533}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 136, "image": "93bf4bd9-63d1-4a73-97c8-e0e904fd029c_png.rf.c1d6a7530844ca542169fdee4d809e3e.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1145, "output_tokens": 360, "elapsed_seconds": 7.840581208933145, "metadata": {"question": "If the pressure rises by 1 bar from the gauge's current reading, would the needle enter the red warning band? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.9293}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 137, "image": "47352e6f-33b7-4c16-a520-03c8afe4c357_png.rf.4232d80b4b83ee4ee01af34332beae25.jpg", "expected": "on top", "predicted": "on top", "correct": true, "input_tokens": 1176, "output_tokens": 653, "elapsed_seconds": 10.323549457942136, "metadata": {"question": "Between the two crossed straight pins with black heads, does the pin with its black head at the bottom-right lie on top of or underneath the other pin? Choose one: on top or underneath.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.4108}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 138, "image": "40a321ee-89d8-4846-a3cf-b01413e971a3_png.rf.fbb996228d647f5d917d28665d8698db.jpg", "expected": "lower right", "predicted": "lower right", "correct": true, "input_tokens": 1168, "output_tokens": 656, "elapsed_seconds": 10.339275250094943, "metadata": {"question": "Based on the long shadows cast by the cattle, from which direction in the image is the sunlight coming? Choose one: upper left, upper right, lower left, or lower right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.3823}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 139, "image": "9c949507-b9b3-4a20-b76b-24512aedea5e_png.rf.450473e96e9282304c85265164cf0d78.jpg", "expected": "increase", "predicted": "increase", "correct": true, "input_tokens": 1145, "output_tokens": 268, "elapsed_seconds": 6.59653150010854, "metadata": {"question": "To move the indicated pressure into the green operating band using the smallest change, should the pressure be increased or decreased? Choose one: increase or decrease.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.6898}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 140, "image": "e3685148-49ec-4ad2-9f50-8d9133ce35cd_png.rf.b2bbd5b99df26d40ae43a5cd2cf549c7.jpg", "expected": "no", "predicted": "no", "correct": true, "input_tokens": 1155, "output_tokens": 3500, "elapsed_seconds": 42.195302625070326, "metadata": {"question": "If a customer has a budget of 30.00 \u20ac, do they have enough money to buy one box of Berocca Boost and one box of Berocca Energie? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 3, "retries": 2, "total_seconds": 171.7836, "transient_errors": ["RemoteProtocolError", "RemoteProtocolError"]}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 141, "image": "d7a763ce-28eb-4366-9169-d68f30a452b5_png.rf.b74d57acbfc696374bd43af86dc6931d.jpg", "expected": "no", "predicted": "no", "correct": true, "input_tokens": 1159, "output_tokens": 560, "elapsed_seconds": 8.26367695897352, "metadata": {"question": "Can a person travel from the Chambre to the Cuisine without entering the Salon? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.3204}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 142, "image": "d7a763ce-28eb-4366-9169-d68f30a452b5_png.rf.b74d57acbfc696374bd43af86dc6931d.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1169, "output_tokens": 450, "elapsed_seconds": 6.706264625070617, "metadata": {"question": "Starting from outside the apartment, what is the minimum number of doors a person must pass through to enter the SDB? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.781}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 143, "image": "c46b41e5-447a-47dd-8780-7877ae92faef_png.rf.baa63153d8d89462d240f65b8eda302b.jpg", "expected": "correct lane", "predicted": "correct lane", "correct": true, "input_tokens": 1182, "output_tokens": 2342, "elapsed_seconds": 28.617337667034008, "metadata": {"question": "Based on standard United States road marking rules, is this vehicle driving in the correct lane or the oncoming lane? Choose one: correct lane or oncoming lane.", "strict_correct": true, "judge_correct": true, "attempts": 2, "retries": 1, "total_seconds": 91.7415, "transient_errors": ["RemoteProtocolError"]}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 144, "image": "ac750e7d-de93-4813-828d-409d16bd176b_png.rf.6559b085ab129da83454776a9ff2f3c3.jpg", "expected": "20", "predicted": "20", "correct": true, "input_tokens": 1155, "output_tokens": 436, "elapsed_seconds": 6.5422763749957085, "metadata": {"question": "Based on the handwritten corrections, what is the difference between the original printed total number of events and the revised number of events? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.5553}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 145, "image": "76b25762-3b57-4158-9fab-945416165ada_png.rf.9990ab2a22469b04a599b81d43f7c09d.jpg", "expected": "118.00", "predicted": "118.00", "correct": true, "input_tokens": 1151, "output_tokens": 892, "elapsed_seconds": 10.522426375071518, "metadata": {"question": "If the ribeye and the Afri Hot Chilli sauce are paid for separately, how much remains for the rest of the bill? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.6098}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 146, "image": "d0b99ce8-8a3b-4d1d-98d4-b34137b19f08_png.rf.135586d63ba8944adf934e8d0cd9cc00.jpg", "expected": "1648", "predicted": "1648", "correct": true, "input_tokens": 1164, "output_tokens": 1008, "elapsed_seconds": 10.498965207953006, "metadata": {"question": "What is the earliest year printed on any of the stamps in this sheet? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.5627}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 147, "image": "c91f10e7-1c18-434d-b9e6-2e570646da9d_png.rf.20b9e5afdcfab594a06be3928964180f.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1180, "output_tokens": 596, "elapsed_seconds": 8.866527333972044, "metadata": {"question": "If a driver without disability parking authorization wanted to use the space occupied by the dark sedan, would parking there be permitted? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.9023}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 148, "image": "8e2f7010-f314-4b13-badc-9a24ecdd1a45_png.rf.6aef955cc77c9959113ec1f1db73b0c3.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1151, "output_tokens": 599, "elapsed_seconds": 9.836789834080264, "metadata": {"question": "From the perspective of the truck driver seated in the cab and looking forward through the windshield, on which side is the large pyramid of blue drums? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.8794}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 149, "image": "76d985c4-8ba2-4660-871b-939bba136896_png.rf.42cd356e987e94c1579c6ffb589f753c.jpg", "expected": "yes", "predicted": "yes", "correct": true, "input_tokens": 1172, "output_tokens": 656, "elapsed_seconds": 9.485691708046943, "metadata": {"question": "If a qualifying shot must land in the 9-ring or closer to the center, has the target recorded at least five qualifying shots? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.5476}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 150, "image": "76d985c4-8ba2-4660-871b-939bba136896_png.rf.42cd356e987e94c1579c6ffb589f753c.jpg", "expected": "60", "predicted": "60", "correct": true, "input_tokens": 1163, "output_tokens": 1404, "elapsed_seconds": 18.335079165990464, "metadata": {"question": "What is the total score of all shots that landed within the black region of the target? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 18.3981}} diff --git a/results/reasoning_gemini-4-argon-eap_high_20261013_071812.jsonl b/results/reasoning_gemini-4-argon-eap_high_20261013_071812.jsonl deleted file mode 100644 index 43c6045..0000000 --- a/results/reasoning_gemini-4-argon-eap_high_20261013_071812.jsonl +++ /dev/null @@ -1,151 +0,0 @@ -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 0, "image": "85202175-9c3b-4a40-b0a9-3c0d33e250b6_png.rf.9afa602969ee1e53f32d2cd370c4c96b.jpg", "expected": "1", "predicted": "2", "correct": false, "input_tokens": 1157, "output_tokens": 1981, "elapsed_seconds": 24.916697124950588, "metadata": {"question": "If a worker wants to rearrange the five numbered pipes so that their labels are in strictly ascending order from top to bottom, what is the minimum number of pipes that must be moved? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 24.9735}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 1, "image": "4f216ea0-af67-40e1-a226-2884e051db56_png.rf.09105ef6b5dab81d9f1a17fd1c6b2c34.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1147, "output_tokens": 362, "elapsed_seconds": 6.047784416936338, "metadata": {"question": "How many days after the date written on the top right of the letter is the patient's kidney transplant scheduled to take place? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.1073}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 2, "image": "d0980bab-2f15-4550-b3e6-813a2ad7e709_png.rf.46eb3c9c65328046e37275727bbeba8f.jpg", "expected": "1/2", "predicted": "1/2", "correct": true, "input_tokens": 1185, "output_tokens": 358, "elapsed_seconds": 5.697281125001609, "metadata": {"question": "Given that the selected number satisfies condition (iii), what is the probability that it also satisfies condition (iv)? Choose one: 0, 1/4, 1/2, or 1.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.7657}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 3, "image": "85133aaa-d105-42fc-9fb7-95b84cbcead1_png.rf.dd175df27fe32c388e49c027b817bd77.jpg", "expected": "opposite directions", "predicted": "opposite directions", "correct": true, "input_tokens": 1197, "output_tokens": 506, "elapsed_seconds": 9.612096915952861, "metadata": {"question": "In the paved courtyard, a white car and a dark grey sedan are parked side-by-side in the middle. Are these two vehicles parked facing the same direction or opposite directions? Choose one: same direction or opposite directions.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.7077}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 4, "image": "cf479a9e-f37a-4a83-ba88-9c8813100830_png.rf.39718b9777bb616b7fab6dd75e98da87.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1163, "output_tokens": 325, "elapsed_seconds": 7.494064124999568, "metadata": {"question": "From the perspective of the customer standing at the checkout facing the screen, on which side of the scanner is the bagging platform with the plastic bags located? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.5486}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 5, "image": "afb31dc3-8a6d-445f-ac38-f772de2bccd4_png.rf.592a5fece3103b7455dd062f81f25633.jpg", "expected": "upper-left", "predicted": "upper-left", "correct": true, "input_tokens": 1173, "output_tokens": 849, "elapsed_seconds": 16.60617204196751, "metadata": {"question": "Judging by the direction the building shadows point across the block, toward which corner of the image does the sunlight appear to be shining from (i.e., shadows point away from that corner)? Choose one: upper-left, upper-right, lower-left, or lower-right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 16.683}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 6, "image": "52dc8fa9-e959-409e-baeb-84dd14382804_png.rf.48fb415d0a2851464da46f9e94f3598b.jpg", "expected": "Flurotec-coated bromobutyl serum stoppers", "predicted": "Flurotec-coated bromobutyl serum stoppers", "correct": true, "input_tokens": 1179, "output_tokens": 487, "elapsed_seconds": 9.898850374971516, "metadata": {"question": "Which packaging material was dispensed furthest above its required quantity? Choose one: amber glass vial, Flurotec-coated bromobutyl serum stoppers, or purple flip-off seal.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.9915}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 7, "image": "badd5270-702b-4161-804a-3875ebeaab25_png.rf.87a2d89de755bd8e677f27f6c325b675.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1182, "output_tokens": 501, "elapsed_seconds": 7.700113707920536, "metadata": {"question": "In the visible table, what is the difference between the number of rows with Real Customer Group '1278' and those with '1001'? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.7222}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 8, "image": "badd5270-702b-4161-804a-3875ebeaab25_png.rf.87a2d89de755bd8e677f27f6c325b675.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1170, "output_tokens": 571, "elapsed_seconds": 6.271413499955088, "metadata": {"question": "Excluding the row where the Party is 'NONE', how many unique Party values are listed in the table? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.2916}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 9, "image": "76bbc10c-bed4-41d3-8622-035eeabc5596_png.rf.b20dacd6d7f36277f12a5de62bcc77d5.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1143, "output_tokens": 1080, "elapsed_seconds": 13.342515083029866, "metadata": {"question": "How many total boxes of trial lenses are missing from the column labeled 110 in the bottom section? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 13.4554}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 10, "image": "76bbc10c-bed4-41d3-8622-035eeabc5596_png.rf.b20dacd6d7f36277f12a5de62bcc77d5.jpg", "expected": "+1.00", "predicted": "+1.00", "correct": true, "input_tokens": 1160, "output_tokens": 624, "elapsed_seconds": 8.394072208087891, "metadata": {"question": "In the bottom section, which SPH power row is completely empty across all five columns? Choose one: +3.00, +2.00, +1.00, or -6.00.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.5051}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 11, "image": "f76b953e-a7af-4f0b-b25d-8464103c4b2d_png.rf.2323d361c5c1df73ba3feca61d206a76.jpg", "expected": "278", "predicted": "278", "correct": true, "input_tokens": 1145, "output_tokens": 482, "elapsed_seconds": 7.2009834999917075, "metadata": {"question": "According to the nutritional information, how many total calories (Kcal) are contained in a portion of this snack that contains exactly 18 grams of fat? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.2392}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 12, "image": "f76b953e-a7af-4f0b-b25d-8464103c4b2d_png.rf.2323d361c5c1df73ba3feca61d206a76.jpg", "expected": "58.3%", "predicted": "58.3%", "correct": true, "input_tokens": 1148, "output_tokens": 490, "elapsed_seconds": 6.458617207943462, "metadata": {"question": "Based on the nutritional information per 100g, what percentage of the total energy comes from fat, using 9 kcal per gram of fat? Answer with a percentage rounded to one decimal place.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.4963}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 13, "image": "bb5d817a-0216-4404-a737-dc3a118edda4_png.rf.de0c951943b6ce799e856483fae63599.jpg", "expected": "2.742", "predicted": "2.742", "correct": true, "input_tokens": 1169, "output_tokens": 812, "elapsed_seconds": 10.821292541921139, "metadata": {"question": "Based on the technical drawing, what is the horizontal distance between the leftmost center of the left slot and the vertical centerline of the top hole? Answer with a number rounded to three decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.8346}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 14, "image": "f1f21256-337e-4348-ab9a-13351b9666bc_png.rf.f7241e285cd093e86b7c7fa3968fcf5d.jpg", "expected": "11", "predicted": "11", "correct": true, "input_tokens": 1168, "output_tokens": 389, "elapsed_seconds": 5.2182607910363, "metadata": {"question": "How many days elapse between the date the delivery note was issued and the scheduled delivery date? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.2291}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 15, "image": "dc13d7fa-f450-4040-a92b-a7d4f065e31d_png.rf.72799758463340501608cda7b66e2b78.jpg", "expected": "6", "predicted": "23", "correct": false, "input_tokens": 1159, "output_tokens": 852, "elapsed_seconds": 9.901823499938473, "metadata": {"question": "What is the total number of containers associated with all samples designated as composite ('C') under the collection type? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 9.9432}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 16, "image": "dc13d7fa-f450-4040-a92b-a7d4f065e31d_png.rf.72799758463340501608cda7b66e2b78.jpg", "expected": "no", "predicted": "no", "correct": true, "input_tokens": 1161, "output_tokens": 1023, "elapsed_seconds": 10.35413262504153, "metadata": {"question": "Does preservation code N apply to more total containers than preservation code S when every checked row is weighted by its listed container count? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.3943}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 17, "image": "8e5b7a3a-7b69-4663-8f76-5b772006e748_png.rf.f9a5eaa49d2d77a19776b2b8db176942.jpg", "expected": "11.9 cm", "predicted": "11.9 cm", "correct": true, "input_tokens": 1162, "output_tokens": 1227, "elapsed_seconds": 18.178643874940462, "metadata": {"question": "Based on the horizontal ruler, what is the length of the blister pack? Choose one: 11.4 cm, 11.9 cm, 12.4 cm, or 12.9 cm.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 18.1914}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 18, "image": "396282bc-0d15-4e53-8803-7e5b69c1bef0_png.rf.7026903692b33b2e719785561327c679.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1186, "output_tokens": 375, "elapsed_seconds": 7.730170791037381, "metadata": {"question": "If the worker wants to assemble another dessert cup matching those on the trays, can it be completed using only the loose ingredients visibly available on the table? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.7799}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 19, "image": "ea5e1584-2445-412a-ab88-341719a020fb_png.rf.e18e5930f3b7aaeffe6681b1e4b5928d.jpg", "expected": "4026.72", "predicted": "4026.72", "correct": true, "input_tokens": 1188, "output_tokens": 602, "elapsed_seconds": 7.711972250021063, "metadata": {"question": "If the \u20ac450 rework discount were removed while all other entries and the 19% VAT rate stayed unchanged, what would the resulting invoice total including VAT be? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.7316}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 20, "image": "8f5959cc-c71e-4f39-926e-f88be3cd618b_png.rf.fd70f6581b5f9ef831b77090bcd8e310.jpg", "expected": "250", "predicted": "250", "correct": true, "input_tokens": 1173, "output_tokens": 179, "elapsed_seconds": 3.81543720792979, "metadata": {"question": "Subtract the total net weight from the total weight gross listed on the delivery note, and express the packaging weight in grams. Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.8262}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 21, "image": "1eae1c65-b395-4666-85f9-bf941b1def2c_png.rf.ee7f186d8bab2cd5b0cfb02161c8302a.jpg", "expected": "4", "predicted": "3", "correct": false, "input_tokens": 1172, "output_tokens": 241, "elapsed_seconds": 5.517372000031173, "metadata": {"question": "How many days elapsed between the date this cleaning record became effective and the date Section E was crossed out and signed? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 5.582}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 22, "image": "ed48ae7c-8ca6-4fd9-9483-28df8487b82d_png.rf.36fc2484e3acc322295ec134e0068226.jpg", "expected": "left", "predicted": "right", "correct": false, "input_tokens": 1192, "output_tokens": 2560, "elapsed_seconds": 36.85550187493209, "metadata": {"question": "From the perspective of a driver sitting inside the white sedan and looking forward, on which side of their vehicle's front end did the collision occur? Choose one: left or right.", "strict_correct": false, "judge_correct": false, "attempts": 2, "retries": 1, "total_seconds": 99.5432, "transient_errors": ["RemoteProtocolError"]}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 23, "image": "96a170be-c707-476a-87c6-8f9229dc9735_png.rf.088cef7f2ff77232fe6904a6836a5135.jpg", "expected": "upper row", "predicted": "upper row", "correct": true, "input_tokens": 1183, "output_tokens": 123, "elapsed_seconds": 4.146493250038475, "metadata": {"question": "For an arriving trailer needing an open marked bay, which row offers more parking options: upper row or lower row? Choose one: upper row or lower row.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.2077}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 24, "image": "f7ec4cc8-90a9-4a3f-8603-91de3073b392_png.rf.669686b7efc2f35cae0ce34ba90377ff.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1153, "output_tokens": 478, "elapsed_seconds": 7.461201500031166, "metadata": {"question": "Based on the position of the audio jack plugged into the panel, which side of the boy's head from his own perspective is closer to the plug? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.4732}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 25, "image": "b5ef866d-feb2-411f-ac5c-40c395cc3c62_png.rf.66b42d06fd426729cfaf37fe699ef682.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1179, "output_tokens": 345, "elapsed_seconds": 7.289805750013329, "metadata": {"question": "If a person walks in a straight line from the trampoline in the middle yard to the swing set in the left yard, how many property fence lines must they cross? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.3935}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 26, "image": "eeee1640-5005-460c-a3f3-12dfff951fc5_png.rf.f39545ddd7734560dd9a051e2c230c8c.jpg", "expected": "right side", "predicted": "right side", "correct": true, "input_tokens": 1163, "output_tokens": 483, "elapsed_seconds": 8.454977999906987, "metadata": {"question": "Based on the perspective of a driver sitting inside the van and looking forward, on which side of the vehicle is the textured concrete wall located? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.5046}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 27, "image": "8a9b0190-2516-4613-a33c-114cf5eb8993_png.rf.923b9627464a61d6941c095f16b9c069.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1161, "output_tokens": 249, "elapsed_seconds": 9.063409541966394, "metadata": {"question": "If every visible wrapped burger must be served with its own bag of fries, how many additional bags of fries are needed? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.1284}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 28, "image": "2f5026b8-8dc1-4831-94a4-d9f1c102b0fd_png.rf.17d85e9f6c9abd757c801aa0d47f423e.jpg", "expected": "9", "predicted": "9", "correct": true, "input_tokens": 1148, "output_tokens": 721, "elapsed_seconds": 11.330563624971546, "metadata": {"question": "Counting from the start date of Steel Fabrication to the start date of Fit off on this schedule, how many days elapse in total? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.4614}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 29, "image": "f4155be5-83b2-4214-89e0-b21906a781bd_png.rf.f865f92d82e075d8770a8aa212800d2e.jpg", "expected": "48.50", "predicted": "48.50", "correct": true, "input_tokens": 1167, "output_tokens": 965, "elapsed_seconds": 12.337288000038825, "metadata": {"question": "What is the actual total cost of all liquid beverages (Coke Zero, Pot Of Tea, Mochaccino, and Latte) listed on the receipt? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 12.3975}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 30, "image": "f4155be5-83b2-4214-89e0-b21906a781bd_png.rf.f865f92d82e075d8770a8aa212800d2e.jpg", "expected": "247.50", "predicted": "247.50", "correct": true, "input_tokens": 1158, "output_tokens": 667, "elapsed_seconds": 7.945229292032309, "metadata": {"question": "If the group had ordered only one Mochaccino instead of two, what would the new total bill be? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.0078}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 31, "image": "c9b00dcb-e093-43d9-baf8-f1971ff328af_png.rf.41492638acc0aba933dc61f9c675d2c7.jpg", "expected": "22", "predicted": "22", "correct": true, "input_tokens": 1144, "output_tokens": 646, "elapsed_seconds": 7.327239540987648, "metadata": {"question": "If a patient takes one capsule per day from this pack, how many days of medication are remaining in the pack? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.3799}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 32, "image": "b4ac0ec8-9f7d-4769-ae70-3d0a959ca24b_png.rf.85ff21bb1ee3df65bbc402ec233ed80a.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1189, "output_tokens": 804, "elapsed_seconds": 10.353459457983263, "metadata": {"question": "If the green and blue rings on the right-hand board were swapped, how many ring positions on that board would still differ from the left-hand board? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.4019}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 33, "image": "34d45dd0-c14f-4a0a-9ff1-031d92a49ca1_png.rf.85c2cfa50183c292a49aaa7c9b2f0064.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1191, "output_tokens": 394, "elapsed_seconds": 7.017244250047952, "metadata": {"question": "Based on the orientation of the stopped green SUV, on which side of the vehicle is the fallen motorcyclist lying from the perspective of a driver sitting inside looking forward? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.0668}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 34, "image": "403906f1-d101-4a15-b0b3-43f90df6b13e_png.rf.9db9421ec54b4a1bf4b5d2a3462836c6.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1182, "output_tokens": 537, "elapsed_seconds": 8.27965504094027, "metadata": {"question": "From the perspective of the man standing and walking along the aisle, on which side is the passenger holding reading papers seated? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.3729}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 35, "image": "5a48fe25-9006-45d1-ac0c-fab115eb5d1a_png.rf.3951f54e9e9535809ab4efc645c98048.jpg", "expected": "1", "predicted": "2", "correct": false, "input_tokens": 1153, "output_tokens": 26837, "elapsed_seconds": 245.19228524994105, "metadata": {"question": "Based on the stacking limit symbol printed on the boxes, what is the maximum number of additional identical boxes that can be safely stacked on top of the foreground box? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 245.2759}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 36, "image": "6711dc5a-8b63-441e-8fea-910b9298bde9_png.rf.7ed399c3d00da2923147fe6901bc90e0.jpg", "expected": "3", "predicted": "1", "correct": false, "input_tokens": 1160, "output_tokens": 2861, "elapsed_seconds": 34.10544812504668, "metadata": {"question": "A worker wants to fill the crate's empty floor space with more punnets of the same size, laid flat in a single layer alongside the existing ones. How many additional punnets fit? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 34.1767}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 37, "image": "04a7e555-066a-4662-be7d-1fab1d0a89bb_png.rf.1c99b9faeb404517267846787ed66438.jpg", "expected": "decreased", "predicted": "decreased", "correct": true, "input_tokens": 1141, "output_tokens": 276, "elapsed_seconds": 5.046945833018981, "metadata": {"question": "To move the shown pressure into the green band, should the system pressure be increased or decreased? Choose one: increased or decreased.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.1245}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 38, "image": "1710a83d-1506-464e-83bf-f015141f1c37_png.rf.bca4b5702f3d41d061d317ac2e0ea038.jpg", "expected": "10", "predicted": "10", "correct": true, "input_tokens": 1183, "output_tokens": 1201, "elapsed_seconds": 10.120457999990322, "metadata": {"question": "If a patient can only attend appointments at or after 11:00 AM, how many of the displayed time slots across the entire week are available to them? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.1348}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 39, "image": "1f2fe1d2-a6a6-4e60-a8e9-5a44e686ea1f_png.rf.e04f0049aa2caa0571f54b741224339f.jpg", "expected": "0", "predicted": "0", "correct": true, "input_tokens": 1167, "output_tokens": 556, "elapsed_seconds": 7.685586249921471, "metadata": {"question": "How many of the cans on the table are lying on their side rather than standing upright? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.7524}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 40, "image": "986ae5b8-bac5-432c-9ab1-afa7c98c2ef6_png.rf.004ba60e063ba1ac27b397a96d9539ee.jpg", "expected": "ASML Hld", "predicted": "ASML Hld", "correct": true, "input_tokens": 1188, "output_tokens": 407, "elapsed_seconds": 5.946660666028038, "metadata": {"question": "Which of the following stocks listed under the letter 'A' has a 'Last' price that exceeds its listed 52-week High? Choose one: ASML Hld, ASV Inc s, ATI Tech, or ATMI Inc.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.9714}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 41, "image": "0de03edc-15c5-4782-a74b-7cedb1df477b_png.rf.25fbbbda8291953bf4362acd5ea98104.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1187, "output_tokens": 265, "elapsed_seconds": 4.230409375042655, "metadata": {"question": "Based on the sequential numbering of the exercises, how many numbered problems between (1) and (14) are missing from this worksheet? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.245}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 42, "image": "107aeb67-63af-49d6-874c-d2505fa3fa43_png.rf.dd08291695888d5c30c0c4d82e0d1f5c.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1148, "output_tokens": 558, "elapsed_seconds": 8.70567095791921, "metadata": {"question": "To open the left door of the container, what is the minimum number of vertical locking bars that must be disengaged across the entire container? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.8032}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 43, "image": "3798710d-6abc-41a9-a6fa-69b36af142fd_png.rf.7513f727ea31e7a4d75594a64c1cd041.jpg", "expected": "168", "predicted": "168", "correct": true, "input_tokens": 1191, "output_tokens": 517, "elapsed_seconds": 7.207303958944976, "metadata": {"question": "According to the red digital display on the right, the current time is shown on the bottom line. If the train is scheduled to reach its destination at 09:35, how many minutes of travel time remain? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.291}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 44, "image": "dce06136-2d24-422b-a3b6-e100c9a4bad1_png.rf.ac128576e826b2eca821e98b5f31f992.jpg", "expected": "Bihar", "predicted": "Bihar", "correct": true, "input_tokens": 1186, "output_tokens": 350, "elapsed_seconds": 5.610092999995686, "metadata": {"question": "A quality inspector sees a pack whose printed batch number begins with the characters 'AB'. According to the information on this pack, in which Indian state was that pack manufactured? Choose one: Bihar, Haryana, Assam, or Punjab.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.6597}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 45, "image": "de2bbe1d-be94-4d71-97d8-2c316733c49d_png.rf.3e37eee81410925ab9219df63ec1cca0.jpg", "expected": "10", "predicted": "10", "correct": true, "input_tokens": 1167, "output_tokens": 1272, "elapsed_seconds": 13.8775814169785, "metadata": {"question": "If a person consumes exactly three packets per day, what is the maximum number of full days this box of packets will last? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 13.9044}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 46, "image": "09c2792b-3755-4eee-828f-fa0c2567760f_png.rf.c5f2d9113af4bbc2882b49e0ae573966.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1206, "output_tokens": 2437, "elapsed_seconds": 28.49443495902233, "metadata": {"question": "To balance the shelves so that both have an equal number of books, how many books must be moved from the bottom shelf to the top shelf? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 28.5378}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 47, "image": "57ae8fef-d674-43e7-9cf4-e7aeddb9e311_png.rf.88bc8729d68c7e1a097ea61f60d08ffc.jpg", "expected": "400", "predicted": "400", "correct": true, "input_tokens": 1167, "output_tokens": 790, "elapsed_seconds": 10.638755666906945, "metadata": {"question": "What is the total value of all the banknotes shown in the image, in Malaysian Ringgit (RM)? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.7361}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 48, "image": "26584325-f95e-41e4-9f4b-99afc5ff078d_png.rf.9c541fbfbbd37f1e00d8f04f9ac40b45.jpg", "expected": "beetroot", "predicted": "beetroot", "correct": true, "input_tokens": 1151, "output_tokens": 385, "elapsed_seconds": 7.657408208004199, "metadata": {"question": "Based on the details of the planted vegetables, which specific vegetable was planted from a tray instead of 6-packs? Choose one: beetroot, celery, coriander, or marigold.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.7365}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 49, "image": "20b7a85e-989a-4fa8-b275-6a1d92d2118a_png.rf.3bcf6e487a9fb4eb1f3f3848b5465060.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1183, "output_tokens": 290, "elapsed_seconds": 6.205472624977119, "metadata": {"question": "If the white ball-handler shoots without moving his feet, how many points would a made basket be worth under standard basketball rules? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.2662}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 50, "image": "7a31b46f-531b-43e7-895b-4e25e049abb3_png.rf.119ce2ebe0cff7f16bc80422173c188a.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1139, "output_tokens": 253, "elapsed_seconds": 6.310537709039636, "metadata": {"question": "If only the visible rear door were replaced, would all of the visible scrape damage be eliminated? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.3826}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 51, "image": "7a31b46f-531b-43e7-895b-4e25e049abb3_png.rf.119ce2ebe0cff7f16bc80422173c188a.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1139, "output_tokens": 195, "elapsed_seconds": 5.132455000071786, "metadata": {"question": "From the perspective of a driver seated inside and facing forward, which side is it? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.203}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 52, "image": "82172a50-05ec-4f75-9b67-02d726a97981_png.rf.b6b418d86b460b5df29a48b3cf9bff9f.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1146, "output_tokens": 898, "elapsed_seconds": 18.51128041697666, "metadata": {"question": "This car is driving toward the viewer's position, and this road follows right-hand traffic rules. Is the car currently keeping to its correct side of the road? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 18.5601}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 53, "image": "612c657e-0e9c-4b2b-a741-2d1b1158c172_png.rf.e46b67734667d8de639182c1c6b58968.jpg", "expected": "left hand", "predicted": "left hand", "correct": true, "input_tokens": 1146, "output_tokens": 276, "elapsed_seconds": 9.053500667097978, "metadata": {"question": "Based on the anatomical structure and the grip shown, which of the person's hands is holding the paper? Choose one: left hand or right hand.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.1387}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 54, "image": "bc085807-a87c-42c4-85dc-07885733dac6_png.rf.86d16faa2e4e01ea9b2f076098eda3da.jpg", "expected": "2805.47", "predicted": "2805.47", "correct": true, "input_tokens": 1192, "output_tokens": 816, "elapsed_seconds": 12.25407612498384, "metadata": {"question": "If the customer adds two more units of Product XYZ while the unit price and tax rate stay the same, what will the revised invoice total be? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 12.2631}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 55, "image": "4d261616-1f0b-4f51-8ebe-eaee7b84825e_png.rf.e8a48b995002e60e7809ef941602370f.jpg", "expected": "left side", "predicted": "left side", "correct": true, "input_tokens": 1162, "output_tokens": 313, "elapsed_seconds": 7.080698707955889, "metadata": {"question": "From the perspective of a driver seated inside and facing forward, which side of the car contains the visible damage? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.0933}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 56, "image": "7d7e098f-4a0d-4864-b2ea-d57988d4d061_png.rf.950712e3033a1d927b27752329326738.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1180, "output_tokens": 938, "elapsed_seconds": 13.340054541942663, "metadata": {"question": "From the perspective of a driver inside the blue SUV at the bottom of the image looking forward, on which side of their vehicle is the yellow Mazda? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 13.4624}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 57, "image": "19f45907-d682-40cf-bb87-9133dc873871_png.rf.8d5ae1def0513a436febceba4ca296a6.jpg", "expected": "left hand", "predicted": "left hand", "correct": true, "input_tokens": 1195, "output_tokens": 238, "elapsed_seconds": 4.027358332998119, "metadata": {"question": "Based on the visible features and orientation of the hand pressing the button, which of the person's hands is being used? Choose one: left hand or right hand.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.0506}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 58, "image": "347cb08d-5018-4506-8ff7-6052b5215bee_png.rf.f2241527449eeba4edc25991a9428857.jpg", "expected": "19190.95", "predicted": "19190.95", "correct": true, "input_tokens": 1199, "output_tokens": 575, "elapsed_seconds": 7.395488791982643, "metadata": {"question": "If the e-transfer withdrawal to 'budget AUTO glass' on July 15 had not occurred, what would the final balance be after the transaction on July 16? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.4252}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 59, "image": "6bdb57de-1206-40d4-a60a-1ac4c22a0468_png.rf.a9d75682ae8f6507d6225b4fa0e1d7f6.jpg", "expected": "right side", "predicted": "right side", "correct": true, "input_tokens": 1177, "output_tokens": 355, "elapsed_seconds": 5.546390083967708, "metadata": {"question": "From the perspective of the driver sitting inside the vehicle looking forward, on which side of the dashboard is the plush toy located? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.5753}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 60, "image": "97a91186-1382-40c6-8e10-ca36e7a94269_png.rf.f9de5fd2b340b608eb21d6e7fc1d9949.jpg", "expected": "parallel", "predicted": "parallel", "correct": true, "input_tokens": 1186, "output_tokens": 363, "elapsed_seconds": 5.076789833023213, "metadata": {"question": "Consider the log currently held in the grapple above the pile. Is its long axis oriented parallel or perpendicular to the logs stacked in the pile? Choose one: parallel or perpendicular.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.0937}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 61, "image": "68b07f85-3cf2-4e70-af98-06ef0c9d2c58_png.rf.d63e64af870bba743f8c88c43567124d.jpg", "expected": "unloading", "predicted": "unloading", "correct": true, "input_tokens": 1168, "output_tokens": 1185, "elapsed_seconds": 17.619452624931, "metadata": {"question": "Based on the worker's posture and direction of movement, is he loading the stack of red crates into the truck or unloading them from the truck? Choose one: loading or unloading.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 17.6673}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 62, "image": "db85c5c8-8aa2-4f36-93dd-7f73a9c7b9c0_png.rf.d13c340009833ccd6defe35016843595.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1186, "output_tokens": 275, "elapsed_seconds": 7.110122625017539, "metadata": {"question": "From the perspective of a driver sitting inside the car and looking forward, on which side of the vehicle is the 'SPORT' badge located? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.1605}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 63, "image": "2e1a4d87-f03c-4189-9406-7968664edda2_png.rf.7605c122843447cd3cbdda9bfc61fe25.jpg", "expected": "2700.00", "predicted": "2700.00", "correct": true, "input_tokens": 1192, "output_tokens": 370, "elapsed_seconds": 5.2349274170119315, "metadata": {"question": "If the same supplier shipped 100 additional cartons of head gear at the same average per-carton weight implied by this invoice, what would the new total gross weight be in kilograms? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.2786}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 64, "image": "2e15743f-6bc8-4cce-8ec0-66eea3a6ca2f_png.rf.dff2a916b2154426e2043eda4cd591dd.jpg", "expected": "5", "predicted": "3", "correct": false, "input_tokens": 1176, "output_tokens": 1534, "elapsed_seconds": 20.05640016705729, "metadata": {"question": "How many vertical columns in the vending machine contain at least one Pepsi can? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 20.0961}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 65, "image": "3f655000-3416-4906-8785-f716a5195996_png.rf.43d1001a93452d12ad70e047d2c6ed7e.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1184, "output_tokens": 611, "elapsed_seconds": 8.185707915923558, "metadata": {"question": "If you want to prepare breakfast plates that each require exactly 2 eggs and half an apple, what is the maximum number of such plates you can complete using only the visible eggs and apples? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.2897}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 66, "image": "4b1a9f4a-6b60-4350-b603-55755b49eaa7_png.rf.1a82163a0fad58cd34885043f4c4eb55.jpg", "expected": "15", "predicted": "15", "correct": true, "input_tokens": 1174, "output_tokens": 739, "elapsed_seconds": 9.758257125038654, "metadata": {"question": "At V_DS = 10 V, what is the approximate increase in drain current when V_GS rises from 6 V to 7 V? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.7831}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 67, "image": "0b0da260-9ab1-48b3-a909-03dc21a83345_png.rf.be24612c532b032d65b0228f30386968.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1179, "output_tokens": 422, "elapsed_seconds": 7.477496500010602, "metadata": {"question": "If you need to retrieve the box sealed with blue tape, what is the minimum number of other boxes you must remove first so that it is completely unobstructed from above? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.5738}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 68, "image": "214d5a30-f38a-4509-bd53-1e3ea49f9c8b_png.rf.adb2216acfcf57012a8ae573e973f1ca.jpg", "expected": "11.80", "predicted": "11.80", "correct": true, "input_tokens": 1156, "output_tokens": 547, "elapsed_seconds": 6.979261540924199, "metadata": {"question": "What is the total amount of GST commission charges (NEFT-GST-COMMISSION) debited on September 15, 2025? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.0455}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 69, "image": "a605175c-be9c-4e9b-8f69-540e233aa5e8_png.rf.3f3d5135536b2e36c9325081fe4f36ee.jpg", "expected": "left side", "predicted": "left side", "correct": true, "input_tokens": 1202, "output_tokens": 324, "elapsed_seconds": 5.422332250047475, "metadata": {"question": "Based on the position of the wheel and the wrapping of the bumper, which side of the vehicle (from the perspective of a driver sitting inside and looking forward) is damaged? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.4451}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 70, "image": "01d2cf72-1e3e-425b-8743-ef01ca46252d_png.rf.3f9dc60e26c06dbdc9181e5b067126a0.jpg", "expected": "46.2%", "predicted": "46.2%", "correct": true, "input_tokens": 1172, "output_tokens": 668, "elapsed_seconds": 7.624437249964103, "metadata": {"question": "Based on the nutritional information per 100g, what percentage of the total fat is saturated fat? Answer with a percentage rounded to one decimal place.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.6458}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 71, "image": "423751b4-264a-4fed-acd4-7432a257389d_png.rf.aca151f72457b1604c2dc4b92bce1c2e.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1182, "output_tokens": 481, "elapsed_seconds": 6.851409542025067, "metadata": {"question": "Based on the technical drawing, what is the total tolerance range (the difference between the maximum and minimum allowable values) for the dimension associated with balloon 24? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.8826}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 72, "image": "86827a6f-9148-40bc-84eb-1f26a69fb426_png.rf.7a36b6597b39ee2cb27e013247477184.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1162, "output_tokens": 762, "elapsed_seconds": 9.675548291997984, "metadata": {"question": "From the perspective of a driver sitting inside the white truck in the foreground and looking forward, on which side of their vehicle is the black SUV? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.7106}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 73, "image": "dfe78d58-fa15-49ac-8673-04b364aaf8f6_png.rf.343b9ddb4be588f14fa49047c656c256.jpg", "expected": "opposite side", "predicted": "same side", "correct": false, "input_tokens": 1197, "output_tokens": 750, "elapsed_seconds": 10.29039829201065, "metadata": {"question": "Based on the direction of the shadows cast on the dock, is the sun located on the same side of the ship as the dock, or on the opposite side of the ship? Choose one: same side, or opposite side.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 10.3491}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 74, "image": "85119d73-c38d-44d4-80b9-f7cfc4848029_png.rf.6faf117b9b48a03e7226813130cb8c31.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1203, "output_tokens": 1104, "elapsed_seconds": 14.565101374988444, "metadata": {"question": "Treat each occupied compartment as one movable stack. What is the minimum number of whole stacks that must be moved so that no two adjacent occupied compartments contain the same color? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 14.5962}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 75, "image": "73825c5f-4954-4824-8572-64ed5602323c_png.rf.fac850718e77f19df27b7bf90d021ba7.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1146, "output_tokens": 252, "elapsed_seconds": 4.1565079590072855, "metadata": {"question": "What is the minimum number of doors a person must pass through to travel from Bedroom 2 to Bedroom 4? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.1721}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 76, "image": "ea00a7d2-1d73-45a3-8950-7f911a746913_png.rf.6d8d4591e8c887c3d43e174e43cfd621.jpg", "expected": "24", "predicted": "24", "correct": true, "input_tokens": 1154, "output_tokens": 1259, "elapsed_seconds": 14.533705583075061, "metadata": {"question": "Based on the 'Hired From' and 'Hired To' dates listed under Employment Data, for how many full years was the subject employed at SOLAR TRADE? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 14.5502}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 77, "image": "e8894dda-fd01-4e8f-b233-7aa1c6924174_png.rf.f8d49103c494c77bf0b4a1c79b12bd32.jpg", "expected": "145", "predicted": "145", "correct": true, "input_tokens": 1161, "output_tokens": 280, "elapsed_seconds": 4.708529082941823, "metadata": {"question": "What is the difference in grams between the target weight indicated in the product name and the actual net quantity of this muskmelon? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.7567}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 78, "image": "29f47b83-0092-4736-a8e7-b3ef23a92354_png.rf.fb2f7e6c321affb606a4919b6a7433ae.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1178, "output_tokens": 215, "elapsed_seconds": 3.9027557499939576, "metadata": {"question": "Based on the handwritten dates at the top of the form, how many days elapse between the date the document was written and its effective date? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.9181}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 79, "image": "5cf55f37-8adb-4adb-9520-148340548028_png.rf.e1605fd47b5ae75ba9c34cdcde09e17c.jpg", "expected": "July 10, 2016", "predicted": "July 10, 2016", "correct": true, "input_tokens": 1204, "output_tokens": 1063, "elapsed_seconds": 12.661850500036962, "metadata": {"question": "According to the payment terms and the invoice date, when is payment due? Choose one: June 10, 2016; July 10, 2016; July 5, 2016; August 10, 2016.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 12.6758}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 80, "image": "dae8c81a-4de4-4ef4-9301-25ca1ba03574_png.rf.d6aaed535d1e3ed00116c2b44301deea.jpg", "expected": "away", "predicted": "toward", "correct": false, "input_tokens": 1196, "output_tokens": 714, "elapsed_seconds": 10.63467604201287, "metadata": {"question": "If a worker grabbed the yellow pallet jack's handle and pulled it straight in the direction the handle currently points, would the jack move generally toward the central packing table or away from it? Choose one: toward or away.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 10.6919}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 81, "image": "9056e25e-2e7e-4746-b766-49e5c6aa52df_png.rf.9e357fa580bcb749370734803ddf5655.jpg", "expected": "left side", "predicted": "left side", "correct": true, "input_tokens": 1181, "output_tokens": 363, "elapsed_seconds": 5.794472333043814, "metadata": {"question": "Based on the door handle's position relative to the vertical seam and the wheel arch at the bottom, which side of the vehicle is shown (from the perspective of a passenger sitting inside and facing forward)? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.8421}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 82, "image": "47ad34a1-d784-48fd-bf0b-9814791703e3_png.rf.0d90c040409da9a682d9d7db5b14476f.jpg", "expected": "yes", "predicted": "yes", "correct": true, "input_tokens": 1162, "output_tokens": 316, "elapsed_seconds": 5.8274147500051185, "metadata": {"question": "If the Mercedes moves exactly one lane to its left, would it enter the same lane currently occupied by the smaller black car ahead? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.9022}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 83, "image": "0f7a1b1b-b0f9-4dba-9659-0455701b7a3f_png.rf.28278968509f5982105a211e62ac44b1.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1141, "output_tokens": 378, "elapsed_seconds": 6.177003791905008, "metadata": {"question": "Would improving only the attributes currently rated 4 be sufficient to make every listed attribute receive the highest rating? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.1912}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 84, "image": "0f7a1b1b-b0f9-4dba-9659-0455701b7a3f_png.rf.28278968509f5982105a211e62ac44b1.jpg", "expected": "4.5", "predicted": "4.5", "correct": true, "input_tokens": 1139, "output_tokens": 496, "elapsed_seconds": 5.9504511669510975, "metadata": {"question": "What is the average score of the attributes associated with PO11? Answer with a number rounded to one decimal place.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.9645}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 85, "image": "be797fcf-056b-44b2-a1da-b667c3185959_png.rf.29cfb688a5b86d169cb8732bb04f0f72.jpg", "expected": "22", "predicted": "24", "correct": false, "input_tokens": 1166, "output_tokens": 2219, "elapsed_seconds": 22.18582991696894, "metadata": {"question": "If the black tray in the foreground has a total capacity of 10 rows with 5 slots per row, how many more devices are needed to completely fill it? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 22.2403}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 86, "image": "861cb64d-800a-4635-999c-739199f8b473_png.rf.c6b83038f9d574bf6dccf2b1554017ec.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1170, "output_tokens": 405, "elapsed_seconds": 5.695791749982163, "metadata": {"question": "Based on the date of the letter and the details provided in the text, how many days are expected to elapse between the date the check was mailed and the date MDA is expected to receive it? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.7123}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 87, "image": "22c3fc7f-6563-4f41-8eac-8c7d425b5633_png.rf.2dd8b94855832744d13e2f1185950566.jpg", "expected": "18", "predicted": "18", "correct": true, "input_tokens": 1173, "output_tokens": 772, "elapsed_seconds": 10.1382145419484, "metadata": {"question": "Based on the manpower details table, what is the total number of normal hours (NOR) worked by all listed employees combined on this day? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.1708}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 88, "image": "e47241e5-70ca-420f-9c96-05b3095ff135_png.rf.7a32ff91ffc2f7aad43c713c84c3052b.jpg", "expected": "G003...80", "predicted": "G003...80", "correct": true, "input_tokens": 1227, "output_tokens": 593, "elapsed_seconds": 8.434084333013743, "metadata": {"question": "A designer needs a resistor with a resistance of 2.0 k\u03a9 and a tolerance of \u00b10.05%. Based on the specifications, what is the Global Model of the lightest resistor that meets these requirements? Choose one: G001...80, G002, G003...80, or G005.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.4844}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 89, "image": "1c9d39fb-7707-4058-8d39-5ef46b4d46bf_png.rf.3c3842ab73120c2d5d767bf08e3b9b44.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1186, "output_tokens": 563, "elapsed_seconds": 7.831451875041239, "metadata": {"question": "From the perspective of the driver seated inside the white pickup and facing its direction of travel, on which side of the truck is the pedestrian? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.8935}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 90, "image": "2d031b53-a61c-4de0-b98e-52b14a4c6fcc_png.rf.1abec44486981464bee69aff5fc4acdd.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1158, "output_tokens": 753, "elapsed_seconds": 8.747331540915184, "metadata": {"question": "Assuming each of the two pizzas on the warming station was originally cut into 6 equal slices, how many slices in total have been sold? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.7776}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 91, "image": "d06e0e70-1bed-4998-bcd4-bc8eccac71d3_png.rf.bd4e209d1eda6cadcb0362c0e61a56a0.jpg", "expected": "253730", "predicted": "253730", "correct": true, "input_tokens": 1183, "output_tokens": 570, "elapsed_seconds": 10.289618625072762, "metadata": {"question": "Using a rule of Medium priority before Low priority, then earliest Created Date to break a tie, which visible ticket should be handled next? Answer with ticket ID.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.3202}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 92, "image": "d06e0e70-1bed-4998-bcd4-bc8eccac71d3_png.rf.bd4e209d1eda6cadcb0362c0e61a56a0.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1182, "output_tokens": 360, "elapsed_seconds": 4.719231875031255, "metadata": {"question": "What is the time difference in hours between the earliest and latest tickets created on Apr 6, 2026? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.7496}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 93, "image": "b3f197fe-81ad-4fc1-bd69-d3b01d48b2b8_png.rf.5abbc57e2abc00bdf8184ff41d45e10c.jpg", "expected": "right hand", "predicted": "left hand", "correct": false, "input_tokens": 1145, "output_tokens": 1397, "elapsed_seconds": 17.57599883293733, "metadata": {"question": "Based on the position of the thumb and fingers, which hand is the operator using to hold the scanner? Choose one: left hand or right hand.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 17.6568}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 94, "image": "b3f197fe-81ad-4fc1-bd69-d3b01d48b2b8_png.rf.5abbc57e2abc00bdf8184ff41d45e10c.jpg", "expected": "up", "predicted": "up", "correct": true, "input_tokens": 1163, "output_tokens": 466, "elapsed_seconds": 6.9694747920148075, "metadata": {"question": "Keeping the scanner at its current tilt so the beam stays horizontal, in which direction should the worker shift the beam so it crosses a barcode's bars perpendicularly and can decode it? Choose one: up, down, left, or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.0496}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 95, "image": "0d8b9fdc-32fc-4324-9e81-414d7762982a_png.rf.10e3ab24f0cc229fc194f19150a9088a.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1167, "output_tokens": 291, "elapsed_seconds": 5.055643124971539, "metadata": {"question": "Which room number becomes completely isolated from all other rooms if the sliding door SD is closed? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.0742}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 96, "image": "0d8b9fdc-32fc-4324-9e81-414d7762982a_png.rf.10e3ab24f0cc229fc194f19150a9088a.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1174, "output_tokens": 821, "elapsed_seconds": 9.538602208020166, "metadata": {"question": "What is the minimum number of doors a person must pass through to travel from BedRoom 2 to BathRoom 5? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.5595}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 97, "image": "56b1bbe0-a003-4ba6-8cb2-08dd2f74a08a_png.rf.48d53e8f7bf6d0dbcf9eb16889b0777a.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1177, "output_tokens": 160, "elapsed_seconds": 3.7456104999873787, "metadata": {"question": "Based on the relative timestamps shown in the screenshot of the thread, how many hours after Benji Taylor's post did Paul Macgregor post his response? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.7574}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 98, "image": "c2dd6dca-767e-4fe1-8dfb-ead3a37507db_png.rf.96bbfed9aead2bbd919d3b4c1237287a.jpg", "expected": "1.3%", "predicted": "1.3%", "correct": true, "input_tokens": 1178, "output_tokens": 877, "elapsed_seconds": 12.15362150000874, "metadata": {"question": "Comparing the loading units and offloading units recorded on the note, what percentage of the loaded manganese ore fines was lost in transit? Answer with a percentage rounded to one decimal place.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 12.1985}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 99, "image": "c2dd6dca-767e-4fe1-8dfb-ead3a37507db_png.rf.96bbfed9aead2bbd919d3b4c1237287a.jpg", "expected": "520", "predicted": "520", "correct": true, "input_tokens": 1167, "output_tokens": 738, "elapsed_seconds": 10.0616494580172, "metadata": {"question": "What is the difference between the loading units and the offloading units recorded on this delivery note? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.11}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 100, "image": "d8552ab5-9930-4bd4-a00c-0f4adbeb76e4_png.rf.fc1f316aa3e9348a20e81d0e619cfa66.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1183, "output_tokens": 3599, "elapsed_seconds": 41.12371112499386, "metadata": {"question": "If this document is folded exactly in half by bringing the top edge down to meet the bottom edge, will the two punched holes on the left margin align to overlap each other? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 41.1372}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 101, "image": "42990fe8-872a-4d4e-a1f9-7926a990b803_png.rf.542a9bb854b1ddec7ea9b3c71f102c32.jpg", "expected": "13", "predicted": "13", "correct": true, "input_tokens": 1140, "output_tokens": 587, "elapsed_seconds": 7.21314866701141, "metadata": {"question": "What is the difference between the number of recorded heights that are at least 150 centimetres and those that are under 142 centimetres? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.219}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 102, "image": "bcf2178d-166f-4ae9-a0ef-40c03e873d7b_png.rf.45781833e957384c1cc81ae703e548a8.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1187, "output_tokens": 587, "elapsed_seconds": 8.901879374985583, "metadata": {"question": "Judging from the direction traffic travels on this roadway, which barrier are the two crashed SUVs resting against from the perspective of drivers on this road? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.9463}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 103, "image": "e8acc7bd-43d8-4902-8871-758a81216657_png.rf.3fdb3f122bcab387f522f1113b53a202.jpg", "expected": "yes", "predicted": "yes", "correct": true, "input_tokens": 1193, "output_tokens": 770, "elapsed_seconds": 10.761642541969195, "metadata": {"question": "A goaltender standing in the crease of the visible net faces up-ice toward the oncoming play. Are the majority of the green-jerseyed players currently on his left side? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.8181}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 104, "image": "c9dbd271-e8bd-4a4c-9d90-dcc53a4910f6_png.rf.7b116829f9e80042e6ff64cae0ce75bd.jpg", "expected": "18", "predicted": "18", "correct": true, "input_tokens": 1193, "output_tokens": 1502, "elapsed_seconds": 19.751909957965836, "metadata": {"question": "Using standard chess piece values where a pawn is 1 point, a bishop or knight is 3 points, and a rook is 5 points, what is the total point value of the captured white pieces set aside on the right? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 19.8034}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 105, "image": "4409ba1c-5b55-47e4-8fb3-ed245021d0bb_png.rf.274f7c4fb87e3efa82cd64b8840d0de7.jpg", "expected": "75.00", "predicted": "75.00", "correct": true, "input_tokens": 1151, "output_tokens": 374, "elapsed_seconds": 5.723425708012655, "metadata": {"question": "If the customer had decided to keep the Lipsy Bikini Bottoms instead of returning them, what would the total refunded amount be? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.7974}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 106, "image": "dc0f068d-8a08-4674-8415-973756621fea_png.rf.e7ad2a97bf4cfd59534ddd786e1bfa09.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1180, "output_tokens": 1020, "elapsed_seconds": 10.290451750042848, "metadata": {"question": "What is the difference between the number of times 'C' is marked and the number of times 'D' is marked on this sheet? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.2968}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 107, "image": "fd40be2e-2c23-4d4f-9af8-bee299b30fb0_png.rf.d32862e3f7c08fa121abceaa35a724bf.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1142, "output_tokens": 762, "elapsed_seconds": 15.34388391696848, "metadata": {"question": "How many of the 9 columns in the vending machine contain at least one bottle with a green cap? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 15.3958}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 108, "image": "39e13a5d-7f3d-4cb3-b99e-5a31236bdb32_png.rf.ac7593ea805bf54030232955f3054140.jpg", "expected": "38", "predicted": "38", "correct": true, "input_tokens": 1155, "output_tokens": 1026, "elapsed_seconds": 9.493771875044331, "metadata": {"question": "If we want to fill the display cabinet so that every compartment contains exactly one car, how many additional cars must be added? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.4977}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 109, "image": "ed033e2a-4072-4930-98ed-35aa45aee1d9_png.rf.3b133b1ed5ad005654d6d55fde0e6a80.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1178, "output_tokens": 884, "elapsed_seconds": 11.847289291908965, "metadata": {"question": "From the perspective of a driver sitting inside the cab of the dump truck with the green tarp and looking forward, which side door of the cab is open? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.9222}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 110, "image": "25e6ed9c-2d37-4533-8021-977770aa97d1_png.rf.5e4c7a4776bb280dedd569d309846abd.jpg", "expected": "no", "predicted": "no", "correct": true, "input_tokens": 1182, "output_tokens": 334, "elapsed_seconds": 5.812260624952614, "metadata": {"question": "Without adding or removing any cylinders, can the load be rearranged so that all four horizontal rows contain exactly the same number of cylinders? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.8651}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 111, "image": "17a88e1e-fb1c-46f0-8620-8f19854b8fff_png.rf.e4fb269a60ea85233a7bdd3d43ef4aa1.jpg", "expected": "right side", "predicted": "right side", "correct": true, "input_tokens": 1195, "output_tokens": 488, "elapsed_seconds": 8.67379329202231, "metadata": {"question": "Based on the relative positions of the wheel and the front fog light, which side of the vehicle (from the perspective of a driver sitting inside and looking forward) is damaged? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.6909}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 112, "image": "3a1d4bd3-6db0-4cda-881d-e9ae4c194abb_png.rf.34d91902d10ee43e73241d5a9df8fa98.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1157, "output_tokens": 389, "elapsed_seconds": 7.30878620792646, "metadata": {"question": "From the perspective of an officer sitting in the driver's seat of this SUV and facing forward, on which side of the vehicle is the person in the hooded sweatshirt standing? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.4166}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 113, "image": "0c721c3c-19a5-4857-89af-7d480d1a8ad6_png.rf.d4d68898257830e57382ff91e2ca4912.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1185, "output_tokens": 3572, "elapsed_seconds": 34.0424517079955, "metadata": {"question": "A patient must take medication only on odd-numbered days of the week (days 1, 3, 5, and 7), leaving even-numbered days (days 2, 4, and 6) empty. How many of the 28 trays are prepared exactly according to this schedule? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 34.1218}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 114, "image": "0c721c3c-19a5-4857-89af-7d480d1a8ad6_png.rf.d4d68898257830e57382ff91e2ca4912.jpg", "expected": "8", "predicted": "7", "correct": false, "input_tokens": 1154, "output_tokens": 4446, "elapsed_seconds": 37.81333491706755, "metadata": {"question": "A patient must take medication every day of the week, with all seven days filled. How many of the 28 trays are prepared exactly according to this schedule? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 37.8966}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 115, "image": "fd7145ce-ff54-42eb-b555-006479012309_png.rf.b64dc2701743bae035f831b7e381d8a1.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1162, "output_tokens": 581, "elapsed_seconds": 6.863235666998662, "metadata": {"question": "Based on the handwritten entries in the rent table, how many of the listed periods have a base monthly rent of exactly $2500.00? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.8891}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 116, "image": "62bb473c-8343-402f-a809-8a36d42884ff_png.rf.979d16777be23bdc0037837ff45a8b29.jpg", "expected": "14", "predicted": "14", "correct": true, "input_tokens": 1196, "output_tokens": 1239, "elapsed_seconds": 13.644629916991107, "metadata": {"question": "If a fully stocked column in this tray contains exactly 7 ice creams, how many additional ice creams are needed to fully stock all 7 columns (numbered 31 through 37)? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 13.7}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 117, "image": "94bfcdd8-0a2b-4903-95da-34fea7e1899c_png.rf.73c78580b0e05542ed686abf5b77f46d.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1151, "output_tokens": 431, "elapsed_seconds": 5.502066917018965, "metadata": {"question": "Based on the printed date of birth and date of expiry, will the cardholder have already turned 40 years old by the time this card expires? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.5942}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 118, "image": "b8891395-36f3-42e5-a1d2-616a922e0771_png.rf.b7e3860f9d0d9ab3e7f7fd0a6742a738.jpg", "expected": "yes", "predicted": "No", "correct": false, "input_tokens": 1165, "output_tokens": 2091, "elapsed_seconds": 33.04747091711033, "metadata": {"question": "Before the pharmacist can sweep the loose capsules on the tray surface into the transparent channel at the top, must the clear cover first be lifted open? Answer yes or no.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 33.1236}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 119, "image": "7315cbf8-64fb-436e-8446-d2f061545df7_png.rf.6f038540710afe5f888b22200ca39932.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1138, "output_tokens": 1342, "elapsed_seconds": 13.54903579200618, "metadata": {"question": "What is the minimum number of additional dominoes needed so that all five visible tiles can be used in one valid matching chain? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 13.5959}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 120, "image": "7315cbf8-64fb-436e-8446-d2f061545df7_png.rf.6f038540710afe5f888b22200ca39932.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1146, "output_tokens": 856, "elapsed_seconds": 9.393408209085464, "metadata": {"question": "If no new dominoes may be added, what is the minimum number of visible tiles that must be left out to arrange all the others as one valid matching chain? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.4572}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 121, "image": "7315cbf8-64fb-436e-8446-d2f061545df7_png.rf.6f038540710afe5f888b22200ca39932.jpg", "expected": "8", "predicted": "8", "correct": true, "input_tokens": 1138, "output_tokens": 562, "elapsed_seconds": 6.901834082906134, "metadata": {"question": "What is the total number of dots (pips) across all the dominoes that have at least one completely blank half? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.948}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 122, "image": "841a0a03-fb48-4b1b-8e75-8abef424a913_png.rf.f11c6efbf5e3b71b7477a83694d80fce.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1154, "output_tokens": 327, "elapsed_seconds": 4.9560039159841835, "metadata": {"question": "If the container is carrying 28,000 kg of cargo, can an additional 900 kg shipment be loaded without exceeding the stated payload limit? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.0282}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 123, "image": "ddb36742-789d-4a6f-a256-5998c9acd5cd_png.rf.f0ede67f0e9f049e1f036fb52b97641d.jpg", "expected": "4.40", "predicted": "4.40", "correct": true, "input_tokens": 1127, "output_tokens": 1485, "elapsed_seconds": 14.651518624974415, "metadata": {"question": "Based on the regular prices listed on the receipt, how much total money was saved on the discounted items compared to their regular prices? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 14.6816}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 124, "image": "3cd889b7-4626-47fe-af90-b98b2d5ffdfc_png.rf.7515e2b89f3d7561f907f84154e00de5.jpg", "expected": "3921.09", "predicted": "3921.09", "correct": true, "input_tokens": 1195, "output_tokens": 1372, "elapsed_seconds": 13.607933167018928, "metadata": {"question": "Among the seven individual items listed in the table on this page, what is the sum of the amounts for the items that expire in the year 2028? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 13.6612}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 125, "image": "3cd889b7-4626-47fe-af90-b98b2d5ffdfc_png.rf.7515e2b89f3d7561f907f84154e00de5.jpg", "expected": "15", "predicted": "15", "correct": true, "input_tokens": 1188, "output_tokens": 638, "elapsed_seconds": 8.293539459002204, "metadata": {"question": "Among the seven individual items listed in the table on this page, what is the total quantity of items that have a discount of 6.00%? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.3547}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 126, "image": "f035f306-754e-4ab9-bd14-80de6cb9353f_png.rf.463bdd12d569cb3ed06ddefa4f7c0544.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1141, "output_tokens": 614, "elapsed_seconds": 7.824797707959078, "metadata": {"question": "If you group all the visible beans into sets of three, how many beans will remain ungrouped? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.8944}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 127, "image": "32beea2c-22a7-4032-9914-2b8af79a6ca6_png.rf.afa9d4a51e3264b766523b0b6c43118f.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1164, "output_tokens": 305, "elapsed_seconds": 5.756157625000924, "metadata": {"question": "Does the circled total score in red at the bottom-left corner equal the sum of all individual question scores marked in red on this page? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.7947}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 128, "image": "1b4e5426-d109-4398-8e45-ab1dc497980f_png.rf.da896199922990bcefe9fec6ce57cec6.jpg", "expected": "11", "predicted": "11", "correct": true, "input_tokens": 1190, "output_tokens": 493, "elapsed_seconds": 6.906315375003032, "metadata": {"question": "If each correct red-circled response earns one point and the blue worked example is excluded, what is the student's score out of 12? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.934}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 129, "image": "864cf752-35ed-44ca-9e73-a27ba19cecb3_png.rf.d9a6b6882d7d84ae1066efdb3590df46.jpg", "expected": "12", "predicted": "12", "correct": true, "input_tokens": 1182, "output_tokens": 344, "elapsed_seconds": 5.478411084040999, "metadata": {"question": "If the player currently holding the ball successfully shoots and scores from her current position, what will Washington's total score become? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.5299}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 130, "image": "bffbaa49-7832-430e-995d-4db0336f7444_png.rf.705666d967baf405ca5b8c91e2e291d1.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1167, "output_tokens": 1112, "elapsed_seconds": 17.55542420805432, "metadata": {"question": "If three nuts are allocated to one mounting job, can five complete mounting jobs be supplied from the visible nuts? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 17.6101}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 131, "image": "3cc9dff1-0e00-4900-9013-00d7b1be6a09_png.rf.4fb05de3247bdec3e1119e997d8f465b.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1206, "output_tokens": 2875, "elapsed_seconds": 29.226254708948545, "metadata": {"question": "Based on the runners' current positions relative to the finish line on the right, which lane contains the runner currently in second place? Answer with a single integer, counting lanes from top (Lane 1) to bottom (Lane 8).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 29.2376}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 132, "image": "4963b4c1-9126-48bc-ac30-e28cf692d079_png.rf.b0fe0fbf8e74b310187bebdb4e04529c.jpg", "expected": "right side", "predicted": "right side", "correct": true, "input_tokens": 1190, "output_tokens": 415, "elapsed_seconds": 9.806359500042163, "metadata": {"question": "Based on the visible wheel and headlight positions, which front side of the vehicle has the scuffed fender from the driver's forward-facing perspective? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.8981}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 133, "image": "6b1464af-2a20-4dc1-9b69-67b163aad58b_png.rf.5558871ebbc74585da7539ae1c82803b.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1158, "output_tokens": 1839, "elapsed_seconds": 16.056811417103745, "metadata": {"question": "Identify the column in the seedling tray that contains the longest continuous vertical sequence of empty plugs (containing only soil with no sprouted seedlings). How many empty plugs are in this longest sequence? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 16.1481}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 134, "image": "6b1464af-2a20-4dc1-9b69-67b163aad58b_png.rf.5558871ebbc74585da7539ae1c82803b.jpg", "expected": "top half", "predicted": "top half", "correct": true, "input_tokens": 1163, "output_tokens": 2374, "elapsed_seconds": 19.19336558401119, "metadata": {"question": "If the seedling tray is divided horizontally into a top half (rows 1 to 6) and a bottom half (rows 7 to 12), which half contains more empty plugs? Choose one: top half or bottom half.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 19.282}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 135, "image": "dea1a5c6-1f2e-4b07-946a-898cd8732f5f_png.rf.2317c0f63fa82df7683229a1fb7f5cd0.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1135, "output_tokens": 469, "elapsed_seconds": 8.435648082988337, "metadata": {"question": "How many shelves in the vending machine are stocked exclusively with water bottles? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.5254}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 136, "image": "93bf4bd9-63d1-4a73-97c8-e0e904fd029c_png.rf.c1d6a7530844ca542169fdee4d809e3e.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1145, "output_tokens": 1016, "elapsed_seconds": 16.23483899992425, "metadata": {"question": "If the pressure rises by 1 bar from the gauge's current reading, would the needle enter the red warning band? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 16.306}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 137, "image": "47352e6f-33b7-4c16-a520-03c8afe4c357_png.rf.4232d80b4b83ee4ee01af34332beae25.jpg", "expected": "on top", "predicted": "on top", "correct": true, "input_tokens": 1176, "output_tokens": 580, "elapsed_seconds": 9.45760333398357, "metadata": {"question": "Between the two crossed straight pins with black heads, does the pin with its black head at the bottom-right lie on top of or underneath the other pin? Choose one: on top or underneath.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.5313}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 138, "image": "40a321ee-89d8-4846-a3cf-b01413e971a3_png.rf.fbb996228d647f5d917d28665d8698db.jpg", "expected": "lower right", "predicted": "lower right", "correct": true, "input_tokens": 1168, "output_tokens": 512, "elapsed_seconds": 7.989841540926136, "metadata": {"question": "Based on the long shadows cast by the cattle, from which direction in the image is the sunlight coming? Choose one: upper left, upper right, lower left, or lower right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.0239}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 139, "image": "9c949507-b9b3-4a20-b76b-24512aedea5e_png.rf.450473e96e9282304c85265164cf0d78.jpg", "expected": "increase", "predicted": "increase", "correct": true, "input_tokens": 1145, "output_tokens": 308, "elapsed_seconds": 5.4961092920275405, "metadata": {"question": "To move the indicated pressure into the green operating band using the smallest change, should the pressure be increased or decreased? Choose one: increase or decrease.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.5885}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 140, "image": "e3685148-49ec-4ad2-9f50-8d9133ce35cd_png.rf.b2bbd5b99df26d40ae43a5cd2cf549c7.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1155, "output_tokens": 3010, "elapsed_seconds": 30.099741999991238, "metadata": {"question": "If a customer has a budget of 30.00 \u20ac, do they have enough money to buy one box of Berocca Boost and one box of Berocca Energie? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 30.1896}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 141, "image": "d7a763ce-28eb-4366-9169-d68f30a452b5_png.rf.b74d57acbfc696374bd43af86dc6931d.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1159, "output_tokens": 459, "elapsed_seconds": 7.060780792031437, "metadata": {"question": "Can a person travel from the Chambre to the Cuisine without entering the Salon? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.1339}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 142, "image": "d7a763ce-28eb-4366-9169-d68f30a452b5_png.rf.b74d57acbfc696374bd43af86dc6931d.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1169, "output_tokens": 455, "elapsed_seconds": 7.030281375045888, "metadata": {"question": "Starting from outside the apartment, what is the minimum number of doors a person must pass through to enter the SDB? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.0877}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 143, "image": "c46b41e5-447a-47dd-8780-7877ae92faef_png.rf.baa63153d8d89462d240f65b8eda302b.jpg", "expected": "correct lane", "predicted": "oncoming lane", "correct": false, "input_tokens": 1182, "output_tokens": 1943, "elapsed_seconds": 25.100207207957283, "metadata": {"question": "Based on standard United States road marking rules, is this vehicle driving in the correct lane or the oncoming lane? Choose one: correct lane or oncoming lane.", "strict_correct": false, "judge_correct": false, "attempts": 2, "retries": 1, "total_seconds": 95.1681, "transient_errors": ["RemoteProtocolError"]}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 144, "image": "ac750e7d-de93-4813-828d-409d16bd176b_png.rf.6559b085ab129da83454776a9ff2f3c3.jpg", "expected": "20", "predicted": "20", "correct": true, "input_tokens": 1155, "output_tokens": 320, "elapsed_seconds": 5.394112624926493, "metadata": {"question": "Based on the handwritten corrections, what is the difference between the original printed total number of events and the revised number of events? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.4167}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 145, "image": "76b25762-3b57-4158-9fab-945416165ada_png.rf.9990ab2a22469b04a599b81d43f7c09d.jpg", "expected": "118.00", "predicted": "118.00", "correct": true, "input_tokens": 1151, "output_tokens": 1042, "elapsed_seconds": 13.951477875001729, "metadata": {"question": "If the ribeye and the Afri Hot Chilli sauce are paid for separately, how much remains for the rest of the bill? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 14.0473}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 146, "image": "d0b99ce8-8a3b-4d1d-98d4-b34137b19f08_png.rf.135586d63ba8944adf934e8d0cd9cc00.jpg", "expected": "1648", "predicted": "1648", "correct": true, "input_tokens": 1164, "output_tokens": 1035, "elapsed_seconds": 13.376224500010721, "metadata": {"question": "What is the earliest year printed on any of the stamps in this sheet? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 13.4397}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 147, "image": "c91f10e7-1c18-434d-b9e6-2e570646da9d_png.rf.20b9e5afdcfab594a06be3928964180f.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1180, "output_tokens": 735, "elapsed_seconds": 18.74251849995926, "metadata": {"question": "If a driver without disability parking authorization wanted to use the space occupied by the dark sedan, would parking there be permitted? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 18.7939}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 148, "image": "8e2f7010-f314-4b13-badc-9a24ecdd1a45_png.rf.6aef955cc77c9959113ec1f1db73b0c3.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1151, "output_tokens": 667, "elapsed_seconds": 9.228618083056062, "metadata": {"question": "From the perspective of the truck driver seated in the cab and looking forward through the windshield, on which side is the large pyramid of blue drums? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.2868}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 149, "image": "76d985c4-8ba2-4660-871b-939bba136896_png.rf.42cd356e987e94c1579c6ffb589f753c.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1172, "output_tokens": 727, "elapsed_seconds": 8.98586041701492, "metadata": {"question": "If a qualifying shot must land in the 9-ring or closer to the center, has the target recorded at least five qualifying shots? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.0629}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 150, "image": "76d985c4-8ba2-4660-871b-939bba136896_png.rf.42cd356e987e94c1579c6ffb589f753c.jpg", "expected": "60", "predicted": "60", "correct": true, "input_tokens": 1163, "output_tokens": 1248, "elapsed_seconds": 16.379721708013676, "metadata": {"question": "What is the total score of all shots that landed within the black region of the target? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 16.4469}} diff --git a/results/reasoning_gemini-4-argon-eap_high_20261013_072018.jsonl b/results/reasoning_gemini-4-argon-eap_high_20261013_072018.jsonl deleted file mode 100644 index ca589e2..0000000 --- a/results/reasoning_gemini-4-argon-eap_high_20261013_072018.jsonl +++ /dev/null @@ -1,151 +0,0 @@ -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 0, "image": "85202175-9c3b-4a40-b0a9-3c0d33e250b6_png.rf.9afa602969ee1e53f32d2cd370c4c96b.jpg", "expected": "1", "predicted": "2", "correct": false, "input_tokens": 1157, "output_tokens": 1650, "elapsed_seconds": 25.15369483397808, "metadata": {"question": "If a worker wants to rearrange the five numbered pipes so that their labels are in strictly ascending order from top to bottom, what is the minimum number of pipes that must be moved? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 25.2098}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 1, "image": "4f216ea0-af67-40e1-a226-2884e051db56_png.rf.09105ef6b5dab81d9f1a17fd1c6b2c34.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1147, "output_tokens": 452, "elapsed_seconds": 7.873572459095158, "metadata": {"question": "How many days after the date written on the top right of the letter is the patient's kidney transplant scheduled to take place? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.9356}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 2, "image": "d0980bab-2f15-4550-b3e6-813a2ad7e709_png.rf.46eb3c9c65328046e37275727bbeba8f.jpg", "expected": "1/2", "predicted": "1/2", "correct": true, "input_tokens": 1185, "output_tokens": 583, "elapsed_seconds": 9.212367499945685, "metadata": {"question": "Given that the selected number satisfies condition (iii), what is the probability that it also satisfies condition (iv)? Choose one: 0, 1/4, 1/2, or 1.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.28}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 3, "image": "85133aaa-d105-42fc-9fb7-95b84cbcead1_png.rf.dd175df27fe32c388e49c027b817bd77.jpg", "expected": "opposite directions", "predicted": "opposite directions", "correct": true, "input_tokens": 1197, "output_tokens": 480, "elapsed_seconds": 11.692533459048718, "metadata": {"question": "In the paved courtyard, a white car and a dark grey sedan are parked side-by-side in the middle. Are these two vehicles parked facing the same direction or opposite directions? Choose one: same direction or opposite directions.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.7869}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 4, "image": "cf479a9e-f37a-4a83-ba88-9c8813100830_png.rf.39718b9777bb616b7fab6dd75e98da87.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1163, "output_tokens": 514, "elapsed_seconds": 7.3856641669990495, "metadata": {"question": "From the perspective of the customer standing at the checkout facing the screen, on which side of the scanner is the bagging platform with the plastic bags located? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.4396}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 5, "image": "afb31dc3-8a6d-445f-ac38-f772de2bccd4_png.rf.592a5fece3103b7455dd062f81f25633.jpg", "expected": "upper-left", "predicted": "upper-left", "correct": true, "input_tokens": 1173, "output_tokens": 1070, "elapsed_seconds": 16.14129233302083, "metadata": {"question": "Judging by the direction the building shadows point across the block, toward which corner of the image does the sunlight appear to be shining from (i.e., shadows point away from that corner)? Choose one: upper-left, upper-right, lower-left, or lower-right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 16.2161}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 6, "image": "52dc8fa9-e959-409e-baeb-84dd14382804_png.rf.48fb415d0a2851464da46f9e94f3598b.jpg", "expected": "Flurotec-coated bromobutyl serum stoppers", "predicted": "Flurotec-coated bromobutyl serum stoppers", "correct": true, "input_tokens": 1179, "output_tokens": 533, "elapsed_seconds": 7.314190957928076, "metadata": {"question": "Which packaging material was dispensed furthest above its required quantity? Choose one: amber glass vial, Flurotec-coated bromobutyl serum stoppers, or purple flip-off seal.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.404}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 7, "image": "badd5270-702b-4161-804a-3875ebeaab25_png.rf.87a2d89de755bd8e677f27f6c325b675.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1182, "output_tokens": 550, "elapsed_seconds": 9.377568583004177, "metadata": {"question": "In the visible table, what is the difference between the number of rows with Real Customer Group '1278' and those with '1001'? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.4018}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 8, "image": "badd5270-702b-4161-804a-3875ebeaab25_png.rf.87a2d89de755bd8e677f27f6c325b675.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1170, "output_tokens": 698, "elapsed_seconds": 8.48490837495774, "metadata": {"question": "Excluding the row where the Party is 'NONE', how many unique Party values are listed in the table? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.5081}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 9, "image": "76bbc10c-bed4-41d3-8622-035eeabc5596_png.rf.b20dacd6d7f36277f12a5de62bcc77d5.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1143, "output_tokens": 876, "elapsed_seconds": 15.760451750014909, "metadata": {"question": "How many total boxes of trial lenses are missing from the column labeled 110 in the bottom section? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 15.8731}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 10, "image": "76bbc10c-bed4-41d3-8622-035eeabc5596_png.rf.b20dacd6d7f36277f12a5de62bcc77d5.jpg", "expected": "+1.00", "predicted": "+1.00", "correct": true, "input_tokens": 1160, "output_tokens": 324, "elapsed_seconds": 11.555871749995276, "metadata": {"question": "In the bottom section, which SPH power row is completely empty across all five columns? Choose one: +3.00, +2.00, +1.00, or -6.00.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.6687}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 11, "image": "f76b953e-a7af-4f0b-b25d-8464103c4b2d_png.rf.2323d361c5c1df73ba3feca61d206a76.jpg", "expected": "278", "predicted": "278", "correct": true, "input_tokens": 1145, "output_tokens": 455, "elapsed_seconds": 10.185148917022161, "metadata": {"question": "According to the nutritional information, how many total calories (Kcal) are contained in a portion of this snack that contains exactly 18 grams of fat? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.22}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 12, "image": "f76b953e-a7af-4f0b-b25d-8464103c4b2d_png.rf.2323d361c5c1df73ba3feca61d206a76.jpg", "expected": "58.3%", "predicted": "58.3%", "correct": true, "input_tokens": 1148, "output_tokens": 303, "elapsed_seconds": 5.5508439160184935, "metadata": {"question": "Based on the nutritional information per 100g, what percentage of the total energy comes from fat, using 9 kcal per gram of fat? Answer with a percentage rounded to one decimal place.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.5847}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 13, "image": "bb5d817a-0216-4404-a737-dc3a118edda4_png.rf.de0c951943b6ce799e856483fae63599.jpg", "expected": "2.742", "predicted": "2.742", "correct": true, "input_tokens": 1169, "output_tokens": 1101, "elapsed_seconds": 11.221522791078314, "metadata": {"question": "Based on the technical drawing, what is the horizontal distance between the leftmost center of the left slot and the vertical centerline of the top hole? Answer with a number rounded to three decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.2358}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 14, "image": "f1f21256-337e-4348-ab9a-13351b9666bc_png.rf.f7241e285cd093e86b7c7fa3968fcf5d.jpg", "expected": "11", "predicted": "11", "correct": true, "input_tokens": 1168, "output_tokens": 392, "elapsed_seconds": 5.45070379099343, "metadata": {"question": "How many days elapse between the date the delivery note was issued and the scheduled delivery date? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.4591}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 15, "image": "dc13d7fa-f450-4040-a92b-a7d4f065e31d_png.rf.72799758463340501608cda7b66e2b78.jpg", "expected": "6", "predicted": "23", "correct": false, "input_tokens": 1159, "output_tokens": 1029, "elapsed_seconds": 11.943375582923181, "metadata": {"question": "What is the total number of containers associated with all samples designated as composite ('C') under the collection type? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 11.9833}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 16, "image": "dc13d7fa-f450-4040-a92b-a7d4f065e31d_png.rf.72799758463340501608cda7b66e2b78.jpg", "expected": "no", "predicted": "no", "correct": true, "input_tokens": 1161, "output_tokens": 868, "elapsed_seconds": 9.847746458020993, "metadata": {"question": "Does preservation code N apply to more total containers than preservation code S when every checked row is weighted by its listed container count? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.8894}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 17, "image": "8e5b7a3a-7b69-4663-8f76-5b772006e748_png.rf.f9a5eaa49d2d77a19776b2b8db176942.jpg", "expected": "11.9 cm", "predicted": "11.9 cm", "correct": true, "input_tokens": 1162, "output_tokens": 614, "elapsed_seconds": 8.049028374953195, "metadata": {"question": "Based on the horizontal ruler, what is the length of the blister pack? Choose one: 11.4 cm, 11.9 cm, 12.4 cm, or 12.9 cm.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.0614}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 18, "image": "396282bc-0d15-4e53-8803-7e5b69c1bef0_png.rf.7026903692b33b2e719785561327c679.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1186, "output_tokens": 344, "elapsed_seconds": 6.1988935000263155, "metadata": {"question": "If the worker wants to assemble another dessert cup matching those on the trays, can it be completed using only the loose ingredients visibly available on the table? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.2443}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 19, "image": "ea5e1584-2445-412a-ab88-341719a020fb_png.rf.e18e5930f3b7aaeffe6681b1e4b5928d.jpg", "expected": "4026.72", "predicted": "4026.72", "correct": true, "input_tokens": 1188, "output_tokens": 963, "elapsed_seconds": 10.059924124972895, "metadata": {"question": "If the \u20ac450 rework discount were removed while all other entries and the 19% VAT rate stayed unchanged, what would the resulting invoice total including VAT be? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.0788}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 20, "image": "8f5959cc-c71e-4f39-926e-f88be3cd618b_png.rf.fd70f6581b5f9ef831b77090bcd8e310.jpg", "expected": "250", "predicted": "250", "correct": true, "input_tokens": 1173, "output_tokens": 217, "elapsed_seconds": 4.424910292029381, "metadata": {"question": "Subtract the total net weight from the total weight gross listed on the delivery note, and express the packaging weight in grams. Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.4356}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 21, "image": "1eae1c65-b395-4666-85f9-bf941b1def2c_png.rf.ee7f186d8bab2cd5b0cfb02161c8302a.jpg", "expected": "4", "predicted": "3", "correct": false, "input_tokens": 1172, "output_tokens": 435, "elapsed_seconds": 6.998993832967244, "metadata": {"question": "How many days elapsed between the date this cleaning record became effective and the date Section E was crossed out and signed? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 7.0623}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 22, "image": "ed48ae7c-8ca6-4fd9-9483-28df8487b82d_png.rf.36fc2484e3acc322295ec134e0068226.jpg", "expected": "left", "predicted": "right", "correct": false, "input_tokens": 1192, "output_tokens": 1597, "elapsed_seconds": 23.05543754203245, "metadata": {"question": "From the perspective of a driver sitting inside the white sedan and looking forward, on which side of their vehicle's front end did the collision occur? Choose one: left or right.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 23.0978}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 23, "image": "96a170be-c707-476a-87c6-8f9229dc9735_png.rf.088cef7f2ff77232fe6904a6836a5135.jpg", "expected": "upper row", "predicted": "upper row", "correct": true, "input_tokens": 1183, "output_tokens": 167, "elapsed_seconds": 3.7792510830331594, "metadata": {"question": "For an arriving trailer needing an open marked bay, which row offers more parking options: upper row or lower row? Choose one: upper row or lower row.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.8388}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 24, "image": "f7ec4cc8-90a9-4a3f-8603-91de3073b392_png.rf.669686b7efc2f35cae0ce34ba90377ff.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1153, "output_tokens": 560, "elapsed_seconds": 9.31910970795434, "metadata": {"question": "Based on the position of the audio jack plugged into the panel, which side of the boy's head from his own perspective is closer to the plug? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.3313}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 25, "image": "b5ef866d-feb2-411f-ac5c-40c395cc3c62_png.rf.66b42d06fd426729cfaf37fe699ef682.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1179, "output_tokens": 254, "elapsed_seconds": 5.866291000042111, "metadata": {"question": "If a person walks in a straight line from the trampoline in the middle yard to the swing set in the left yard, how many property fence lines must they cross? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.9698}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 26, "image": "eeee1640-5005-460c-a3f3-12dfff951fc5_png.rf.f39545ddd7734560dd9a051e2c230c8c.jpg", "expected": "right side", "predicted": "right side", "correct": true, "input_tokens": 1163, "output_tokens": 378, "elapsed_seconds": 6.7775274170562625, "metadata": {"question": "Based on the perspective of a driver sitting inside the van and looking forward, on which side of the vehicle is the textured concrete wall located? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.8236}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 27, "image": "8a9b0190-2516-4613-a33c-114cf5eb8993_png.rf.923b9627464a61d6941c095f16b9c069.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1161, "output_tokens": 614, "elapsed_seconds": 8.42486154101789, "metadata": {"question": "If every visible wrapped burger must be served with its own bag of fries, how many additional bags of fries are needed? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.4902}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 28, "image": "2f5026b8-8dc1-4831-94a4-d9f1c102b0fd_png.rf.17d85e9f6c9abd757c801aa0d47f423e.jpg", "expected": "9", "predicted": "9", "correct": true, "input_tokens": 1148, "output_tokens": 769, "elapsed_seconds": 10.04178937501274, "metadata": {"question": "Counting from the start date of Steel Fabrication to the start date of Fit off on this schedule, how many days elapse in total? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.1688}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 29, "image": "f4155be5-83b2-4214-89e0-b21906a781bd_png.rf.f865f92d82e075d8770a8aa212800d2e.jpg", "expected": "48.50", "predicted": "48.50", "correct": true, "input_tokens": 1167, "output_tokens": 864, "elapsed_seconds": 9.819004916003905, "metadata": {"question": "What is the actual total cost of all liquid beverages (Coke Zero, Pot Of Tea, Mochaccino, and Latte) listed on the receipt? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.8801}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 30, "image": "f4155be5-83b2-4214-89e0-b21906a781bd_png.rf.f865f92d82e075d8770a8aa212800d2e.jpg", "expected": "247.50", "predicted": "247.50", "correct": true, "input_tokens": 1158, "output_tokens": 716, "elapsed_seconds": 7.557721707969904, "metadata": {"question": "If the group had ordered only one Mochaccino instead of two, what would the new total bill be? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.6193}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 31, "image": "c9b00dcb-e093-43d9-baf8-f1971ff328af_png.rf.41492638acc0aba933dc61f9c675d2c7.jpg", "expected": "22", "predicted": "22", "correct": true, "input_tokens": 1144, "output_tokens": 713, "elapsed_seconds": 8.47375166695565, "metadata": {"question": "If a patient takes one capsule per day from this pack, how many days of medication are remaining in the pack? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.5268}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 32, "image": "b4ac0ec8-9f7d-4769-ae70-3d0a959ca24b_png.rf.85ff21bb1ee3df65bbc402ec233ed80a.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1189, "output_tokens": 544, "elapsed_seconds": 7.644554375088774, "metadata": {"question": "If the green and blue rings on the right-hand board were swapped, how many ring positions on that board would still differ from the left-hand board? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.6901}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 33, "image": "34d45dd0-c14f-4a0a-9ff1-031d92a49ca1_png.rf.85c2cfa50183c292a49aaa7c9b2f0064.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1191, "output_tokens": 513, "elapsed_seconds": 7.083398665999994, "metadata": {"question": "Based on the orientation of the stopped green SUV, on which side of the vehicle is the fallen motorcyclist lying from the perspective of a driver sitting inside looking forward? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.1348}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 34, "image": "403906f1-d101-4a15-b0b3-43f90df6b13e_png.rf.9db9421ec54b4a1bf4b5d2a3462836c6.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1182, "output_tokens": 529, "elapsed_seconds": 9.117776915896684, "metadata": {"question": "From the perspective of the man standing and walking along the aisle, on which side is the passenger holding reading papers seated? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.2123}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 35, "image": "5a48fe25-9006-45d1-ac0c-fab115eb5d1a_png.rf.3951f54e9e9535809ab4efc645c98048.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1153, "output_tokens": 16358, "elapsed_seconds": 155.59894566598814, "metadata": {"question": "Based on the stacking limit symbol printed on the boxes, what is the maximum number of additional identical boxes that can be safely stacked on top of the foreground box? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 155.6787}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 36, "image": "6711dc5a-8b63-441e-8fea-910b9298bde9_png.rf.7ed399c3d00da2923147fe6901bc90e0.jpg", "expected": "3", "predicted": "1", "correct": false, "input_tokens": 1160, "output_tokens": 3211, "elapsed_seconds": 41.31711254105903, "metadata": {"question": "A worker wants to fill the crate's empty floor space with more punnets of the same size, laid flat in a single layer alongside the existing ones. How many additional punnets fit? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 41.3932}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 37, "image": "04a7e555-066a-4662-be7d-1fab1d0a89bb_png.rf.1c99b9faeb404517267846787ed66438.jpg", "expected": "decreased", "predicted": "decreased", "correct": true, "input_tokens": 1141, "output_tokens": 301, "elapsed_seconds": 6.597162749967538, "metadata": {"question": "To move the shown pressure into the green band, should the system pressure be increased or decreased? Choose one: increased or decreased.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.6756}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 38, "image": "1710a83d-1506-464e-83bf-f015141f1c37_png.rf.bca4b5702f3d41d061d317ac2e0ea038.jpg", "expected": "10", "predicted": "10", "correct": true, "input_tokens": 1183, "output_tokens": 1188, "elapsed_seconds": 9.702669459045865, "metadata": {"question": "If a patient can only attend appointments at or after 11:00 AM, how many of the displayed time slots across the entire week are available to them? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.7203}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 39, "image": "1f2fe1d2-a6a6-4e60-a8e9-5a44e686ea1f_png.rf.e04f0049aa2caa0571f54b741224339f.jpg", "expected": "0", "predicted": "0", "correct": true, "input_tokens": 1167, "output_tokens": 485, "elapsed_seconds": 10.213229791028425, "metadata": {"question": "How many of the cans on the table are lying on their side rather than standing upright? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.2855}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 40, "image": "986ae5b8-bac5-432c-9ab1-afa7c98c2ef6_png.rf.004ba60e063ba1ac27b397a96d9539ee.jpg", "expected": "ASML Hld", "predicted": "ASML Hld", "correct": true, "input_tokens": 1188, "output_tokens": 467, "elapsed_seconds": 5.552657500025816, "metadata": {"question": "Which of the following stocks listed under the letter 'A' has a 'Last' price that exceeds its listed 52-week High? Choose one: ASML Hld, ASV Inc s, ATI Tech, or ATMI Inc.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.5761}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 41, "image": "0de03edc-15c5-4782-a74b-7cedb1df477b_png.rf.25fbbbda8291953bf4362acd5ea98104.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1187, "output_tokens": 290, "elapsed_seconds": 4.81806895788759, "metadata": {"question": "Based on the sequential numbering of the exercises, how many numbered problems between (1) and (14) are missing from this worksheet? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.8365}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 42, "image": "107aeb67-63af-49d6-874c-d2505fa3fa43_png.rf.dd08291695888d5c30c0c4d82e0d1f5c.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1148, "output_tokens": 473, "elapsed_seconds": 8.344073249958456, "metadata": {"question": "To open the left door of the container, what is the minimum number of vertical locking bars that must be disengaged across the entire container? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.4422}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 43, "image": "3798710d-6abc-41a9-a6fa-69b36af142fd_png.rf.7513f727ea31e7a4d75594a64c1cd041.jpg", "expected": "168", "predicted": "168", "correct": true, "input_tokens": 1191, "output_tokens": 609, "elapsed_seconds": 10.40965874993708, "metadata": {"question": "According to the red digital display on the right, the current time is shown on the bottom line. If the train is scheduled to reach its destination at 09:35, how many minutes of travel time remain? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.4936}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 44, "image": "dce06136-2d24-422b-a3b6-e100c9a4bad1_png.rf.ac128576e826b2eca821e98b5f31f992.jpg", "expected": "Bihar", "predicted": "Bihar", "correct": true, "input_tokens": 1186, "output_tokens": 337, "elapsed_seconds": 5.600995457964018, "metadata": {"question": "A quality inspector sees a pack whose printed batch number begins with the characters 'AB'. According to the information on this pack, in which Indian state was that pack manufactured? Choose one: Bihar, Haryana, Assam, or Punjab.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.6515}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 45, "image": "de2bbe1d-be94-4d71-97d8-2c316733c49d_png.rf.3e37eee81410925ab9219df63ec1cca0.jpg", "expected": "10", "predicted": "10", "correct": true, "input_tokens": 1167, "output_tokens": 1289, "elapsed_seconds": 14.369201041990891, "metadata": {"question": "If a person consumes exactly three packets per day, what is the maximum number of full days this box of packets will last? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 14.3941}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 46, "image": "09c2792b-3755-4eee-828f-fa0c2567760f_png.rf.c5f2d9113af4bbc2882b49e0ae573966.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1206, "output_tokens": 2546, "elapsed_seconds": 25.58512766705826, "metadata": {"question": "To balance the shelves so that both have an equal number of books, how many books must be moved from the bottom shelf to the top shelf? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 25.6303}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 47, "image": "57ae8fef-d674-43e7-9cf4-e7aeddb9e311_png.rf.88bc8729d68c7e1a097ea61f60d08ffc.jpg", "expected": "400", "predicted": "400", "correct": true, "input_tokens": 1167, "output_tokens": 885, "elapsed_seconds": 11.661810207995586, "metadata": {"question": "What is the total value of all the banknotes shown in the image, in Malaysian Ringgit (RM)? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.7578}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 48, "image": "26584325-f95e-41e4-9f4b-99afc5ff078d_png.rf.9c541fbfbbd37f1e00d8f04f9ac40b45.jpg", "expected": "beetroot", "predicted": "Beetroot", "correct": true, "input_tokens": 1151, "output_tokens": 308, "elapsed_seconds": 10.362980833044276, "metadata": {"question": "Based on the details of the planted vegetables, which specific vegetable was planted from a tray instead of 6-packs? Choose one: beetroot, celery, coriander, or marigold.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.4468}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 49, "image": "20b7a85e-989a-4fa8-b275-6a1d92d2118a_png.rf.3bcf6e487a9fb4eb1f3f3848b5465060.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1183, "output_tokens": 270, "elapsed_seconds": 5.18324029201176, "metadata": {"question": "If the white ball-handler shoots without moving his feet, how many points would a made basket be worth under standard basketball rules? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.2408}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 50, "image": "7a31b46f-531b-43e7-895b-4e25e049abb3_png.rf.119ce2ebe0cff7f16bc80422173c188a.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1139, "output_tokens": 880, "elapsed_seconds": 10.401069833897054, "metadata": {"question": "If only the visible rear door were replaced, would all of the visible scrape damage be eliminated? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.469}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 51, "image": "7a31b46f-531b-43e7-895b-4e25e049abb3_png.rf.119ce2ebe0cff7f16bc80422173c188a.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1139, "output_tokens": 399, "elapsed_seconds": 6.783569167018868, "metadata": {"question": "From the perspective of a driver seated inside and facing forward, which side is it? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.8519}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 52, "image": "82172a50-05ec-4f75-9b67-02d726a97981_png.rf.b6b418d86b460b5df29a48b3cf9bff9f.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1146, "output_tokens": 1417, "elapsed_seconds": 18.691941166995093, "metadata": {"question": "This car is driving toward the viewer's position, and this road follows right-hand traffic rules. Is the car currently keeping to its correct side of the road? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 18.7407}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 53, "image": "612c657e-0e9c-4b2b-a741-2d1b1158c172_png.rf.e46b67734667d8de639182c1c6b58968.jpg", "expected": "left hand", "predicted": "left hand", "correct": true, "input_tokens": 1146, "output_tokens": 324, "elapsed_seconds": 5.6437207909766585, "metadata": {"question": "Based on the anatomical structure and the grip shown, which of the person's hands is holding the paper? Choose one: left hand or right hand.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.7304}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 54, "image": "bc085807-a87c-42c4-85dc-07885733dac6_png.rf.86d16faa2e4e01ea9b2f076098eda3da.jpg", "expected": "2805.47", "predicted": "2805.47", "correct": true, "input_tokens": 1192, "output_tokens": 817, "elapsed_seconds": 8.245697667007335, "metadata": {"question": "If the customer adds two more units of Product XYZ while the unit price and tax rate stay the same, what will the revised invoice total be? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.2561}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 55, "image": "4d261616-1f0b-4f51-8ebe-eaee7b84825e_png.rf.e8a48b995002e60e7809ef941602370f.jpg", "expected": "left side", "predicted": "left side", "correct": true, "input_tokens": 1162, "output_tokens": 449, "elapsed_seconds": 7.00961687497329, "metadata": {"question": "From the perspective of a driver seated inside and facing forward, which side of the car contains the visible damage? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.0222}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 56, "image": "7d7e098f-4a0d-4864-b2ea-d57988d4d061_png.rf.950712e3033a1d927b27752329326738.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1180, "output_tokens": 676, "elapsed_seconds": 13.7190996670397, "metadata": {"question": "From the perspective of a driver inside the blue SUV at the bottom of the image looking forward, on which side of their vehicle is the yellow Mazda? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 13.8468}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 57, "image": "19f45907-d682-40cf-bb87-9133dc873871_png.rf.8d5ae1def0513a436febceba4ca296a6.jpg", "expected": "left hand", "predicted": "left hand", "correct": true, "input_tokens": 1195, "output_tokens": 368, "elapsed_seconds": 5.632318250020035, "metadata": {"question": "Based on the visible features and orientation of the hand pressing the button, which of the person's hands is being used? Choose one: left hand or right hand.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.6566}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 58, "image": "347cb08d-5018-4506-8ff7-6052b5215bee_png.rf.f2241527449eeba4edc25991a9428857.jpg", "expected": "19190.95", "predicted": "19190.95", "correct": true, "input_tokens": 1199, "output_tokens": 707, "elapsed_seconds": 11.4430261249654, "metadata": {"question": "If the e-transfer withdrawal to 'budget AUTO glass' on July 15 had not occurred, what would the final balance be after the transaction on July 16? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.4717}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 59, "image": "6bdb57de-1206-40d4-a60a-1ac4c22a0468_png.rf.a9d75682ae8f6507d6225b4fa0e1d7f6.jpg", "expected": "right side", "predicted": "right side", "correct": true, "input_tokens": 1177, "output_tokens": 267, "elapsed_seconds": 5.14802704192698, "metadata": {"question": "From the perspective of the driver sitting inside the vehicle looking forward, on which side of the dashboard is the plush toy located? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.1766}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 60, "image": "97a91186-1382-40c6-8e10-ca36e7a94269_png.rf.f9de5fd2b340b608eb21d6e7fc1d9949.jpg", "expected": "parallel", "predicted": "parallel", "correct": true, "input_tokens": 1186, "output_tokens": 259, "elapsed_seconds": 7.620652790996246, "metadata": {"question": "Consider the log currently held in the grapple above the pile. Is its long axis oriented parallel or perpendicular to the logs stacked in the pile? Choose one: parallel or perpendicular.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.6377}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 61, "image": "68b07f85-3cf2-4e70-af98-06ef0c9d2c58_png.rf.d63e64af870bba743f8c88c43567124d.jpg", "expected": "unloading", "predicted": "unloading", "correct": true, "input_tokens": 1168, "output_tokens": 1536, "elapsed_seconds": 25.52867733302992, "metadata": {"question": "Based on the worker's posture and direction of movement, is he loading the stack of red crates into the truck or unloading them from the truck? Choose one: loading or unloading.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 25.5798}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 62, "image": "db85c5c8-8aa2-4f36-93dd-7f73a9c7b9c0_png.rf.d13c340009833ccd6defe35016843595.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1186, "output_tokens": 484, "elapsed_seconds": 9.325412707985379, "metadata": {"question": "From the perspective of a driver sitting inside the car and looking forward, on which side of the vehicle is the 'SPORT' badge located? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.3777}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 63, "image": "2e1a4d87-f03c-4189-9406-7968664edda2_png.rf.7605c122843447cd3cbdda9bfc61fe25.jpg", "expected": "2700.00", "predicted": "2700.00", "correct": true, "input_tokens": 1192, "output_tokens": 403, "elapsed_seconds": 6.043316207942553, "metadata": {"question": "If the same supplier shipped 100 additional cartons of head gear at the same average per-carton weight implied by this invoice, what would the new total gross weight be in kilograms? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.0889}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 64, "image": "2e15743f-6bc8-4cce-8ec0-66eea3a6ca2f_png.rf.dff2a916b2154426e2043eda4cd591dd.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1176, "output_tokens": 1629, "elapsed_seconds": 19.35618975001853, "metadata": {"question": "How many vertical columns in the vending machine contain at least one Pepsi can? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 19.3939}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 65, "image": "3f655000-3416-4906-8785-f716a5195996_png.rf.43d1001a93452d12ad70e047d2c6ed7e.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1184, "output_tokens": 532, "elapsed_seconds": 9.89666087506339, "metadata": {"question": "If you want to prepare breakfast plates that each require exactly 2 eggs and half an apple, what is the maximum number of such plates you can complete using only the visible eggs and apples? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.0013}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 66, "image": "4b1a9f4a-6b60-4350-b603-55755b49eaa7_png.rf.1a82163a0fad58cd34885043f4c4eb55.jpg", "expected": "15", "predicted": "15", "correct": true, "input_tokens": 1174, "output_tokens": 642, "elapsed_seconds": 7.028736750013195, "metadata": {"question": "At V_DS = 10 V, what is the approximate increase in drain current when V_GS rises from 6 V to 7 V? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.0543}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 67, "image": "0b0da260-9ab1-48b3-a909-03dc21a83345_png.rf.be24612c532b032d65b0228f30386968.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1179, "output_tokens": 375, "elapsed_seconds": 5.9763279579347, "metadata": {"question": "If you need to retrieve the box sealed with blue tape, what is the minimum number of other boxes you must remove first so that it is completely unobstructed from above? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.0702}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 68, "image": "214d5a30-f38a-4509-bd53-1e3ea49f9c8b_png.rf.adb2216acfcf57012a8ae573e973f1ca.jpg", "expected": "11.80", "predicted": "11.80", "correct": true, "input_tokens": 1156, "output_tokens": 673, "elapsed_seconds": 7.137090457952581, "metadata": {"question": "What is the total amount of GST commission charges (NEFT-GST-COMMISSION) debited on September 15, 2025? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.203}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 69, "image": "a605175c-be9c-4e9b-8f69-540e233aa5e8_png.rf.3f3d5135536b2e36c9325081fe4f36ee.jpg", "expected": "left side", "predicted": "left side", "correct": true, "input_tokens": 1202, "output_tokens": 535, "elapsed_seconds": 8.037662208080292, "metadata": {"question": "Based on the position of the wheel and the wrapping of the bumper, which side of the vehicle (from the perspective of a driver sitting inside and looking forward) is damaged? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.0603}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 70, "image": "01d2cf72-1e3e-425b-8743-ef01ca46252d_png.rf.3f9dc60e26c06dbdc9181e5b067126a0.jpg", "expected": "46.2%", "predicted": "46.2%", "correct": true, "input_tokens": 1172, "output_tokens": 461, "elapsed_seconds": 5.977926874998957, "metadata": {"question": "Based on the nutritional information per 100g, what percentage of the total fat is saturated fat? Answer with a percentage rounded to one decimal place.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.9975}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 71, "image": "423751b4-264a-4fed-acd4-7432a257389d_png.rf.aca151f72457b1604c2dc4b92bce1c2e.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1182, "output_tokens": 617, "elapsed_seconds": 6.973919750074856, "metadata": {"question": "Based on the technical drawing, what is the total tolerance range (the difference between the maximum and minimum allowable values) for the dimension associated with balloon 24? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.0034}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 72, "image": "86827a6f-9148-40bc-84eb-1f26a69fb426_png.rf.7a36b6597b39ee2cb27e013247477184.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1162, "output_tokens": 413, "elapsed_seconds": 6.305585750029422, "metadata": {"question": "From the perspective of a driver sitting inside the white truck in the foreground and looking forward, on which side of their vehicle is the black SUV? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.34}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 73, "image": "dfe78d58-fa15-49ac-8673-04b364aaf8f6_png.rf.343b9ddb4be588f14fa49047c656c256.jpg", "expected": "opposite side", "predicted": "same side", "correct": false, "input_tokens": 1197, "output_tokens": 643, "elapsed_seconds": 9.11535300000105, "metadata": {"question": "Based on the direction of the shadows cast on the dock, is the sun located on the same side of the ship as the dock, or on the opposite side of the ship? Choose one: same side, or opposite side.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 9.1702}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 74, "image": "85119d73-c38d-44d4-80b9-f7cfc4848029_png.rf.6faf117b9b48a03e7226813130cb8c31.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1203, "output_tokens": 1272, "elapsed_seconds": 14.709314916981384, "metadata": {"question": "Treat each occupied compartment as one movable stack. What is the minimum number of whole stacks that must be moved so that no two adjacent occupied compartments contain the same color? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 14.7409}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 75, "image": "73825c5f-4954-4824-8572-64ed5602323c_png.rf.fac850718e77f19df27b7bf90d021ba7.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1146, "output_tokens": 262, "elapsed_seconds": 4.912135874968953, "metadata": {"question": "What is the minimum number of doors a person must pass through to travel from Bedroom 2 to Bedroom 4? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.9268}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 76, "image": "ea00a7d2-1d73-45a3-8950-7f911a746913_png.rf.6d8d4591e8c887c3d43e174e43cfd621.jpg", "expected": "24", "predicted": "24", "correct": true, "input_tokens": 1154, "output_tokens": 770, "elapsed_seconds": 9.751561457989737, "metadata": {"question": "Based on the 'Hired From' and 'Hired To' dates listed under Employment Data, for how many full years was the subject employed at SOLAR TRADE? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.7689}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 77, "image": "e8894dda-fd01-4e8f-b233-7aa1c6924174_png.rf.f8d49103c494c77bf0b4a1c79b12bd32.jpg", "expected": "145", "predicted": "145", "correct": true, "input_tokens": 1161, "output_tokens": 264, "elapsed_seconds": 4.693039166973904, "metadata": {"question": "What is the difference in grams between the target weight indicated in the product name and the actual net quantity of this muskmelon? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.7388}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 78, "image": "29f47b83-0092-4736-a8e7-b3ef23a92354_png.rf.fb2f7e6c321affb606a4919b6a7433ae.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1178, "output_tokens": 197, "elapsed_seconds": 4.4820635409560055, "metadata": {"question": "Based on the handwritten dates at the top of the form, how many days elapse between the date the document was written and its effective date? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.4976}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 79, "image": "5cf55f37-8adb-4adb-9520-148340548028_png.rf.e1605fd47b5ae75ba9c34cdcde09e17c.jpg", "expected": "July 10, 2016", "predicted": "July 10, 2016", "correct": true, "input_tokens": 1204, "output_tokens": 1575, "elapsed_seconds": 16.737481666030362, "metadata": {"question": "According to the payment terms and the invoice date, when is payment due? Choose one: June 10, 2016; July 10, 2016; July 5, 2016; August 10, 2016.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 16.7538}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 80, "image": "dae8c81a-4de4-4ef4-9301-25ca1ba03574_png.rf.d6aaed535d1e3ed00116c2b44301deea.jpg", "expected": "away", "predicted": "toward", "correct": false, "input_tokens": 1196, "output_tokens": 1079, "elapsed_seconds": 14.876798375044018, "metadata": {"question": "If a worker grabbed the yellow pallet jack's handle and pulled it straight in the direction the handle currently points, would the jack move generally toward the central packing table or away from it? Choose one: toward or away.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 14.9309}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 81, "image": "9056e25e-2e7e-4746-b766-49e5c6aa52df_png.rf.9e357fa580bcb749370734803ddf5655.jpg", "expected": "left side", "predicted": "left side", "correct": true, "input_tokens": 1181, "output_tokens": 458, "elapsed_seconds": 8.056782542029396, "metadata": {"question": "Based on the door handle's position relative to the vertical seam and the wheel arch at the bottom, which side of the vehicle is shown (from the perspective of a passenger sitting inside and facing forward)? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.1039}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 82, "image": "47ad34a1-d784-48fd-bf0b-9814791703e3_png.rf.0d90c040409da9a682d9d7db5b14476f.jpg", "expected": "yes", "predicted": "yes", "correct": true, "input_tokens": 1162, "output_tokens": 284, "elapsed_seconds": 5.923359958105721, "metadata": {"question": "If the Mercedes moves exactly one lane to its left, would it enter the same lane currently occupied by the smaller black car ahead? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.9965}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 83, "image": "0f7a1b1b-b0f9-4dba-9659-0455701b7a3f_png.rf.28278968509f5982105a211e62ac44b1.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1141, "output_tokens": 527, "elapsed_seconds": 7.07734595797956, "metadata": {"question": "Would improving only the attributes currently rated 4 be sufficient to make every listed attribute receive the highest rating? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.0915}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 84, "image": "0f7a1b1b-b0f9-4dba-9659-0455701b7a3f_png.rf.28278968509f5982105a211e62ac44b1.jpg", "expected": "4.5", "predicted": "4.5", "correct": true, "input_tokens": 1139, "output_tokens": 389, "elapsed_seconds": 4.694909291923977, "metadata": {"question": "What is the average score of the attributes associated with PO11? Answer with a number rounded to one decimal place.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.709}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 85, "image": "be797fcf-056b-44b2-a1da-b667c3185959_png.rf.29cfb688a5b86d169cb8732bb04f0f72.jpg", "expected": "22", "predicted": "24", "correct": false, "input_tokens": 1166, "output_tokens": 4398, "elapsed_seconds": 42.39361791696865, "metadata": {"question": "If the black tray in the foreground has a total capacity of 10 rows with 5 slots per row, how many more devices are needed to completely fill it? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 42.4466}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 86, "image": "861cb64d-800a-4635-999c-739199f8b473_png.rf.c6b83038f9d574bf6dccf2b1554017ec.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1170, "output_tokens": 439, "elapsed_seconds": 6.551684750011191, "metadata": {"question": "Based on the date of the letter and the details provided in the text, how many days are expected to elapse between the date the check was mailed and the date MDA is expected to receive it? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.5684}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 87, "image": "22c3fc7f-6563-4f41-8eac-8c7d425b5633_png.rf.2dd8b94855832744d13e2f1185950566.jpg", "expected": "18", "predicted": "18", "correct": true, "input_tokens": 1173, "output_tokens": 703, "elapsed_seconds": 9.63835762499366, "metadata": {"question": "Based on the manpower details table, what is the total number of normal hours (NOR) worked by all listed employees combined on this day? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.6711}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 88, "image": "e47241e5-70ca-420f-9c96-05b3095ff135_png.rf.7a32ff91ffc2f7aad43c713c84c3052b.jpg", "expected": "G003...80", "predicted": "G003...80", "correct": true, "input_tokens": 1227, "output_tokens": 527, "elapsed_seconds": 6.962036416982301, "metadata": {"question": "A designer needs a resistor with a resistance of 2.0 k\u03a9 and a tolerance of \u00b10.05%. Based on the specifications, what is the Global Model of the lightest resistor that meets these requirements? Choose one: G001...80, G002, G003...80, or G005.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.0121}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 89, "image": "1c9d39fb-7707-4058-8d39-5ef46b4d46bf_png.rf.3c3842ab73120c2d5d767bf08e3b9b44.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1186, "output_tokens": 668, "elapsed_seconds": 9.418821625062265, "metadata": {"question": "From the perspective of the driver seated inside the white pickup and facing its direction of travel, on which side of the truck is the pedestrian? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.4793}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 90, "image": "2d031b53-a61c-4de0-b98e-52b14a4c6fcc_png.rf.1abec44486981464bee69aff5fc4acdd.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1158, "output_tokens": 922, "elapsed_seconds": 11.395384625066072, "metadata": {"question": "Assuming each of the two pizzas on the warming station was originally cut into 6 equal slices, how many slices in total have been sold? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.4262}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 91, "image": "d06e0e70-1bed-4998-bcd4-bc8eccac71d3_png.rf.bd4e209d1eda6cadcb0362c0e61a56a0.jpg", "expected": "253730", "predicted": "253730", "correct": true, "input_tokens": 1183, "output_tokens": 763, "elapsed_seconds": 8.559830832993612, "metadata": {"question": "Using a rule of Medium priority before Low priority, then earliest Created Date to break a tie, which visible ticket should be handled next? Answer with ticket ID.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.5916}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 92, "image": "d06e0e70-1bed-4998-bcd4-bc8eccac71d3_png.rf.bd4e209d1eda6cadcb0362c0e61a56a0.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1182, "output_tokens": 541, "elapsed_seconds": 10.266215166891925, "metadata": {"question": "What is the time difference in hours between the earliest and latest tickets created on Apr 6, 2026? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.2976}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 93, "image": "b3f197fe-81ad-4fc1-bd69-d3b01d48b2b8_png.rf.5abbc57e2abc00bdf8184ff41d45e10c.jpg", "expected": "right hand", "predicted": "left hand", "correct": false, "input_tokens": 1145, "output_tokens": 4614, "elapsed_seconds": 56.971460791886784, "metadata": {"question": "Based on the position of the thumb and fingers, which hand is the operator using to hold the scanner? Choose one: left hand or right hand.", "strict_correct": false, "judge_correct": false, "attempts": 3, "retries": 2, "total_seconds": 187.2999, "transient_errors": ["RemoteProtocolError", "RemoteProtocolError"]}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 94, "image": "b3f197fe-81ad-4fc1-bd69-d3b01d48b2b8_png.rf.5abbc57e2abc00bdf8184ff41d45e10c.jpg", "expected": "up", "predicted": "up", "correct": true, "input_tokens": 1163, "output_tokens": 521, "elapsed_seconds": 7.702849416993558, "metadata": {"question": "Keeping the scanner at its current tilt so the beam stays horizontal, in which direction should the worker shift the beam so it crosses a barcode's bars perpendicularly and can decode it? Choose one: up, down, left, or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.7848}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 95, "image": "0d8b9fdc-32fc-4324-9e81-414d7762982a_png.rf.10e3ab24f0cc229fc194f19150a9088a.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1167, "output_tokens": 337, "elapsed_seconds": 7.189413582906127, "metadata": {"question": "Which room number becomes completely isolated from all other rooms if the sliding door SD is closed? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.2116}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 96, "image": "0d8b9fdc-32fc-4324-9e81-414d7762982a_png.rf.10e3ab24f0cc229fc194f19150a9088a.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1174, "output_tokens": 696, "elapsed_seconds": 8.591656625038013, "metadata": {"question": "What is the minimum number of doors a person must pass through to travel from BedRoom 2 to BathRoom 5? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.6128}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 97, "image": "56b1bbe0-a003-4ba6-8cb2-08dd2f74a08a_png.rf.48d53e8f7bf6d0dbcf9eb16889b0777a.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1177, "output_tokens": 237, "elapsed_seconds": 3.7653109160019085, "metadata": {"question": "Based on the relative timestamps shown in the screenshot of the thread, how many hours after Benji Taylor's post did Paul Macgregor post his response? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.7758}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 98, "image": "c2dd6dca-767e-4fe1-8dfb-ead3a37507db_png.rf.96bbfed9aead2bbd919d3b4c1237287a.jpg", "expected": "1.3%", "predicted": "1.3%", "correct": true, "input_tokens": 1178, "output_tokens": 1062, "elapsed_seconds": 14.5349047499476, "metadata": {"question": "Comparing the loading units and offloading units recorded on the note, what percentage of the loaded manganese ore fines was lost in transit? Answer with a percentage rounded to one decimal place.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 14.5816}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 99, "image": "c2dd6dca-767e-4fe1-8dfb-ead3a37507db_png.rf.96bbfed9aead2bbd919d3b4c1237287a.jpg", "expected": "520", "predicted": "520", "correct": true, "input_tokens": 1167, "output_tokens": 529, "elapsed_seconds": 8.422832375043072, "metadata": {"question": "What is the difference between the loading units and the offloading units recorded on this delivery note? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.4697}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 100, "image": "d8552ab5-9930-4bd4-a00c-0f4adbeb76e4_png.rf.fc1f316aa3e9348a20e81d0e619cfa66.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1183, "output_tokens": 2697, "elapsed_seconds": 32.562981500057504, "metadata": {"question": "If this document is folded exactly in half by bringing the top edge down to meet the bottom edge, will the two punched holes on the left margin align to overlap each other? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 32.5758}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 101, "image": "42990fe8-872a-4d4e-a1f9-7926a990b803_png.rf.542a9bb854b1ddec7ea9b3c71f102c32.jpg", "expected": "13", "predicted": "13", "correct": true, "input_tokens": 1140, "output_tokens": 586, "elapsed_seconds": 5.982906459015794, "metadata": {"question": "What is the difference between the number of recorded heights that are at least 150 centimetres and those that are under 142 centimetres? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.9877}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 102, "image": "bcf2178d-166f-4ae9-a0ef-40c03e873d7b_png.rf.45781833e957384c1cc81ae703e548a8.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1187, "output_tokens": 826, "elapsed_seconds": 12.279178416007198, "metadata": {"question": "Judging from the direction traffic travels on this roadway, which barrier are the two crashed SUVs resting against from the perspective of drivers on this road? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 12.3234}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 103, "image": "e8acc7bd-43d8-4902-8871-758a81216657_png.rf.3fdb3f122bcab387f522f1113b53a202.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1193, "output_tokens": 795, "elapsed_seconds": 13.734142416040413, "metadata": {"question": "A goaltender standing in the crease of the visible net faces up-ice toward the oncoming play. Are the majority of the green-jerseyed players currently on his left side? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 13.7904}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 104, "image": "c9dbd271-e8bd-4a4c-9d90-dcc53a4910f6_png.rf.7b116829f9e80042e6ff64cae0ce75bd.jpg", "expected": "18", "predicted": "17", "correct": false, "input_tokens": 1193, "output_tokens": 2556, "elapsed_seconds": 32.923937041079625, "metadata": {"question": "Using standard chess piece values where a pawn is 1 point, a bishop or knight is 3 points, and a rook is 5 points, what is the total point value of the captured white pieces set aside on the right? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 32.9588}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 105, "image": "4409ba1c-5b55-47e4-8fb3-ed245021d0bb_png.rf.274f7c4fb87e3efa82cd64b8840d0de7.jpg", "expected": "75.00", "predicted": "75.00", "correct": true, "input_tokens": 1151, "output_tokens": 494, "elapsed_seconds": 6.044311875011772, "metadata": {"question": "If the customer had decided to keep the Lipsy Bikini Bottoms instead of returning them, what would the total refunded amount be? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.1011}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 106, "image": "dc0f068d-8a08-4674-8415-973756621fea_png.rf.e7ad2a97bf4cfd59534ddd786e1bfa09.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1180, "output_tokens": 1088, "elapsed_seconds": 10.298344250069931, "metadata": {"question": "What is the difference between the number of times 'C' is marked and the number of times 'D' is marked on this sheet? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.302}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 107, "image": "fd40be2e-2c23-4d4f-9af8-bee299b30fb0_png.rf.d32862e3f7c08fa121abceaa35a724bf.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1142, "output_tokens": 971, "elapsed_seconds": 10.482381999958307, "metadata": {"question": "How many of the 9 columns in the vending machine contain at least one bottle with a green cap? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.5167}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 108, "image": "39e13a5d-7f3d-4cb3-b99e-5a31236bdb32_png.rf.ac7593ea805bf54030232955f3054140.jpg", "expected": "38", "predicted": "38", "correct": true, "input_tokens": 1155, "output_tokens": 648, "elapsed_seconds": 7.035893792053685, "metadata": {"question": "If we want to fill the display cabinet so that every compartment contains exactly one car, how many additional cars must be added? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.0413}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 109, "image": "ed033e2a-4072-4930-98ed-35aa45aee1d9_png.rf.3b133b1ed5ad005654d6d55fde0e6a80.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1178, "output_tokens": 811, "elapsed_seconds": 11.478933208971284, "metadata": {"question": "From the perspective of a driver sitting inside the cab of the dump truck with the green tarp and looking forward, which side door of the cab is open? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.5384}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 110, "image": "25e6ed9c-2d37-4533-8021-977770aa97d1_png.rf.5e4c7a4776bb280dedd569d309846abd.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1182, "output_tokens": 331, "elapsed_seconds": 5.754384999978356, "metadata": {"question": "Without adding or removing any cylinders, can the load be rearranged so that all four horizontal rows contain exactly the same number of cylinders? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.797}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 111, "image": "17a88e1e-fb1c-46f0-8620-8f19854b8fff_png.rf.e4fb269a60ea85233a7bdd3d43ef4aa1.jpg", "expected": "right side", "predicted": "right side", "correct": true, "input_tokens": 1195, "output_tokens": 457, "elapsed_seconds": 7.714910582988523, "metadata": {"question": "Based on the relative positions of the wheel and the front fog light, which side of the vehicle (from the perspective of a driver sitting inside and looking forward) is damaged? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.7333}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 112, "image": "3a1d4bd3-6db0-4cda-881d-e9ae4c194abb_png.rf.34d91902d10ee43e73241d5a9df8fa98.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1157, "output_tokens": 326, "elapsed_seconds": 6.552526292041875, "metadata": {"question": "From the perspective of an officer sitting in the driver's seat of this SUV and facing forward, on which side of the vehicle is the person in the hooded sweatshirt standing? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.6334}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 113, "image": "0c721c3c-19a5-4857-89af-7d480d1a8ad6_png.rf.d4d68898257830e57382ff91e2ca4912.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1185, "output_tokens": 3698, "elapsed_seconds": 26.537152291974053, "metadata": {"question": "A patient must take medication only on odd-numbered days of the week (days 1, 3, 5, and 7), leaving even-numbered days (days 2, 4, and 6) empty. How many of the 28 trays are prepared exactly according to this schedule? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 26.6012}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 114, "image": "0c721c3c-19a5-4857-89af-7d480d1a8ad6_png.rf.d4d68898257830e57382ff91e2ca4912.jpg", "expected": "8", "predicted": "7", "correct": false, "input_tokens": 1154, "output_tokens": 5011, "elapsed_seconds": 42.37742775003426, "metadata": {"question": "A patient must take medication every day of the week, with all seven days filled. How many of the 28 trays are prepared exactly according to this schedule? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 42.4436}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 115, "image": "fd7145ce-ff54-42eb-b555-006479012309_png.rf.b64dc2701743bae035f831b7e381d8a1.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1162, "output_tokens": 391, "elapsed_seconds": 5.4038536249427125, "metadata": {"question": "Based on the handwritten entries in the rent table, how many of the listed periods have a base monthly rent of exactly $2500.00? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.4226}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 116, "image": "62bb473c-8343-402f-a809-8a36d42884ff_png.rf.979d16777be23bdc0037837ff45a8b29.jpg", "expected": "14", "predicted": "14", "correct": true, "input_tokens": 1196, "output_tokens": 1284, "elapsed_seconds": 14.021391457994469, "metadata": {"question": "If a fully stocked column in this tray contains exactly 7 ice creams, how many additional ice creams are needed to fully stock all 7 columns (numbered 31 through 37)? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 14.0722}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 117, "image": "94bfcdd8-0a2b-4903-95da-34fea7e1899c_png.rf.73c78580b0e05542ed686abf5b77f46d.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1151, "output_tokens": 350, "elapsed_seconds": 5.679053208092228, "metadata": {"question": "Based on the printed date of birth and date of expiry, will the cardholder have already turned 40 years old by the time this card expires? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.7511}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 118, "image": "b8891395-36f3-42e5-a1d2-616a922e0771_png.rf.b7e3860f9d0d9ab3e7f7fd0a6742a738.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1165, "output_tokens": 608, "elapsed_seconds": 9.915602750028484, "metadata": {"question": "Before the pharmacist can sweep the loose capsules on the tray surface into the transparent channel at the top, must the clear cover first be lifted open? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.9977}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 119, "image": "7315cbf8-64fb-436e-8446-d2f061545df7_png.rf.6f038540710afe5f888b22200ca39932.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1138, "output_tokens": 1517, "elapsed_seconds": 14.970003624912351, "metadata": {"question": "What is the minimum number of additional dominoes needed so that all five visible tiles can be used in one valid matching chain? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 15.0318}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 120, "image": "7315cbf8-64fb-436e-8446-d2f061545df7_png.rf.6f038540710afe5f888b22200ca39932.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1146, "output_tokens": 1098, "elapsed_seconds": 12.014643999980763, "metadata": {"question": "If no new dominoes may be added, what is the minimum number of visible tiles that must be left out to arrange all the others as one valid matching chain? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 12.0606}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 121, "image": "7315cbf8-64fb-436e-8446-d2f061545df7_png.rf.6f038540710afe5f888b22200ca39932.jpg", "expected": "8", "predicted": "8", "correct": true, "input_tokens": 1138, "output_tokens": 555, "elapsed_seconds": 6.498637542012148, "metadata": {"question": "What is the total number of dots (pips) across all the dominoes that have at least one completely blank half? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.5608}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 122, "image": "841a0a03-fb48-4b1b-8e75-8abef424a913_png.rf.f11c6efbf5e3b71b7477a83694d80fce.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1154, "output_tokens": 338, "elapsed_seconds": 9.14756904100068, "metadata": {"question": "If the container is carrying 28,000 kg of cargo, can an additional 900 kg shipment be loaded without exceeding the stated payload limit? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.2295}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 123, "image": "ddb36742-789d-4a6f-a256-5998c9acd5cd_png.rf.f0ede67f0e9f049e1f036fb52b97641d.jpg", "expected": "4.40", "predicted": "4.40", "correct": true, "input_tokens": 1127, "output_tokens": 1631, "elapsed_seconds": 15.17247416707687, "metadata": {"question": "Based on the regular prices listed on the receipt, how much total money was saved on the discounted items compared to their regular prices? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 15.2084}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 124, "image": "3cd889b7-4626-47fe-af90-b98b2d5ffdfc_png.rf.7515e2b89f3d7561f907f84154e00de5.jpg", "expected": "3921.09", "predicted": "3921.09", "correct": true, "input_tokens": 1195, "output_tokens": 1643, "elapsed_seconds": 16.45423637505155, "metadata": {"question": "Among the seven individual items listed in the table on this page, what is the sum of the amounts for the items that expire in the year 2028? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 16.5154}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 125, "image": "3cd889b7-4626-47fe-af90-b98b2d5ffdfc_png.rf.7515e2b89f3d7561f907f84154e00de5.jpg", "expected": "15", "predicted": "15", "correct": true, "input_tokens": 1188, "output_tokens": 706, "elapsed_seconds": 11.41924745903816, "metadata": {"question": "Among the seven individual items listed in the table on this page, what is the total quantity of items that have a discount of 6.00%? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.4651}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 126, "image": "f035f306-754e-4ab9-bd14-80de6cb9353f_png.rf.463bdd12d569cb3ed06ddefa4f7c0544.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1141, "output_tokens": 571, "elapsed_seconds": 15.51650566700846, "metadata": {"question": "If you group all the visible beans into sets of three, how many beans will remain ungrouped? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 15.5742}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 127, "image": "32beea2c-22a7-4032-9914-2b8af79a6ca6_png.rf.afa9d4a51e3264b766523b0b6c43118f.jpg", "expected": "yes", "predicted": "yes", "correct": true, "input_tokens": 1164, "output_tokens": 289, "elapsed_seconds": 7.365560165955685, "metadata": {"question": "Does the circled total score in red at the bottom-left corner equal the sum of all individual question scores marked in red on this page? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.4016}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 128, "image": "1b4e5426-d109-4398-8e45-ab1dc497980f_png.rf.da896199922990bcefe9fec6ce57cec6.jpg", "expected": "11", "predicted": "11", "correct": true, "input_tokens": 1190, "output_tokens": 666, "elapsed_seconds": 8.486952375038527, "metadata": {"question": "If each correct red-circled response earns one point and the blue worked example is excluded, what is the student's score out of 12? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.5141}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 129, "image": "864cf752-35ed-44ca-9e73-a27ba19cecb3_png.rf.d9a6b6882d7d84ae1066efdb3590df46.jpg", "expected": "12", "predicted": "12", "correct": true, "input_tokens": 1182, "output_tokens": 380, "elapsed_seconds": 5.997749542002566, "metadata": {"question": "If the player currently holding the ball successfully shoots and scores from her current position, what will Washington's total score become? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.0502}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 130, "image": "bffbaa49-7832-430e-995d-4db0336f7444_png.rf.705666d967baf405ca5b8c91e2e291d1.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1167, "output_tokens": 1068, "elapsed_seconds": 11.806222958024591, "metadata": {"question": "If three nuts are allocated to one mounting job, can five complete mounting jobs be supplied from the visible nuts? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.8655}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 131, "image": "3cc9dff1-0e00-4900-9013-00d7b1be6a09_png.rf.4fb05de3247bdec3e1119e997d8f465b.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1206, "output_tokens": 5316, "elapsed_seconds": 60.869361750083044, "metadata": {"question": "Based on the runners' current positions relative to the finish line on the right, which lane contains the runner currently in second place? Answer with a single integer, counting lanes from top (Lane 1) to bottom (Lane 8).", "strict_correct": true, "judge_correct": true, "attempts": 2, "retries": 1, "total_seconds": 123.2358, "transient_errors": ["RemoteProtocolError"]}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 132, "image": "4963b4c1-9126-48bc-ac30-e28cf692d079_png.rf.b0fe0fbf8e74b310187bebdb4e04529c.jpg", "expected": "right side", "predicted": "right side", "correct": true, "input_tokens": 1190, "output_tokens": 594, "elapsed_seconds": 10.135957082966343, "metadata": {"question": "Based on the visible wheel and headlight positions, which front side of the vehicle has the scuffed fender from the driver's forward-facing perspective? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.2396}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 133, "image": "6b1464af-2a20-4dc1-9b69-67b163aad58b_png.rf.5558871ebbc74585da7539ae1c82803b.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1158, "output_tokens": 1811, "elapsed_seconds": 18.337932333932258, "metadata": {"question": "Identify the column in the seedling tray that contains the longest continuous vertical sequence of empty plugs (containing only soil with no sprouted seedlings). How many empty plugs are in this longest sequence? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 18.4168}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 134, "image": "6b1464af-2a20-4dc1-9b69-67b163aad58b_png.rf.5558871ebbc74585da7539ae1c82803b.jpg", "expected": "top half", "predicted": "top half", "correct": true, "input_tokens": 1163, "output_tokens": 3164, "elapsed_seconds": 25.84738816600293, "metadata": {"question": "If the seedling tray is divided horizontally into a top half (rows 1 to 6) and a bottom half (rows 7 to 12), which half contains more empty plugs? Choose one: top half or bottom half.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 25.9285}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 135, "image": "dea1a5c6-1f2e-4b07-946a-898cd8732f5f_png.rf.2317c0f63fa82df7683229a1fb7f5cd0.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1135, "output_tokens": 542, "elapsed_seconds": 8.510944540961646, "metadata": {"question": "How many shelves in the vending machine are stocked exclusively with water bottles? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.6005}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 136, "image": "93bf4bd9-63d1-4a73-97c8-e0e904fd029c_png.rf.c1d6a7530844ca542169fdee4d809e3e.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1145, "output_tokens": 849, "elapsed_seconds": 11.698605875018984, "metadata": {"question": "If the pressure rises by 1 bar from the gauge's current reading, would the needle enter the red warning band? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.7916}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 137, "image": "47352e6f-33b7-4c16-a520-03c8afe4c357_png.rf.4232d80b4b83ee4ee01af34332beae25.jpg", "expected": "on top", "predicted": "on top", "correct": true, "input_tokens": 1176, "output_tokens": 622, "elapsed_seconds": 9.3712434170302, "metadata": {"question": "Between the two crossed straight pins with black heads, does the pin with its black head at the bottom-right lie on top of or underneath the other pin? Choose one: on top or underneath.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.4523}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 138, "image": "40a321ee-89d8-4846-a3cf-b01413e971a3_png.rf.fbb996228d647f5d917d28665d8698db.jpg", "expected": "lower right", "predicted": "lower right", "correct": true, "input_tokens": 1168, "output_tokens": 395, "elapsed_seconds": 9.042854833067395, "metadata": {"question": "Based on the long shadows cast by the cattle, from which direction in the image is the sunlight coming? Choose one: upper left, upper right, lower left, or lower right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.0779}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 139, "image": "9c949507-b9b3-4a20-b76b-24512aedea5e_png.rf.450473e96e9282304c85265164cf0d78.jpg", "expected": "increase", "predicted": "increase", "correct": true, "input_tokens": 1145, "output_tokens": 309, "elapsed_seconds": 7.0037847079802305, "metadata": {"question": "To move the indicated pressure into the green operating band using the smallest change, should the pressure be increased or decreased? Choose one: increase or decrease.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.0969}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 140, "image": "e3685148-49ec-4ad2-9f50-8d9133ce35cd_png.rf.b2bbd5b99df26d40ae43a5cd2cf549c7.jpg", "expected": "no", "predicted": "Yes", "correct": false, "input_tokens": 1155, "output_tokens": 1636, "elapsed_seconds": 19.2786818749737, "metadata": {"question": "If a customer has a budget of 30.00 \u20ac, do they have enough money to buy one box of Berocca Boost and one box of Berocca Energie? Answer yes or no.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 19.3755}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 141, "image": "d7a763ce-28eb-4366-9169-d68f30a452b5_png.rf.b74d57acbfc696374bd43af86dc6931d.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1159, "output_tokens": 578, "elapsed_seconds": 9.032874834025279, "metadata": {"question": "Can a person travel from the Chambre to the Cuisine without entering the Salon? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.0945}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 142, "image": "d7a763ce-28eb-4366-9169-d68f30a452b5_png.rf.b74d57acbfc696374bd43af86dc6931d.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1169, "output_tokens": 419, "elapsed_seconds": 7.021129250060767, "metadata": {"question": "Starting from outside the apartment, what is the minimum number of doors a person must pass through to enter the SDB? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.079}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 143, "image": "c46b41e5-447a-47dd-8780-7877ae92faef_png.rf.baa63153d8d89462d240f65b8eda302b.jpg", "expected": "correct lane", "predicted": "oncoming lane", "correct": false, "input_tokens": 1182, "output_tokens": 4765, "elapsed_seconds": 53.07939708302729, "metadata": {"question": "Based on standard United States road marking rules, is this vehicle driving in the correct lane or the oncoming lane? Choose one: correct lane or oncoming lane.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 53.1247}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 144, "image": "ac750e7d-de93-4813-828d-409d16bd176b_png.rf.6559b085ab129da83454776a9ff2f3c3.jpg", "expected": "20", "predicted": "20", "correct": true, "input_tokens": 1155, "output_tokens": 390, "elapsed_seconds": 5.528419750044122, "metadata": {"question": "Based on the handwritten corrections, what is the difference between the original printed total number of events and the revised number of events? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.5415}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 145, "image": "76b25762-3b57-4158-9fab-945416165ada_png.rf.9990ab2a22469b04a599b81d43f7c09d.jpg", "expected": "118.00", "predicted": "118.00", "correct": true, "input_tokens": 1151, "output_tokens": 863, "elapsed_seconds": 10.466980083961971, "metadata": {"question": "If the ribeye and the Afri Hot Chilli sauce are paid for separately, how much remains for the rest of the bill? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.562}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 146, "image": "d0b99ce8-8a3b-4d1d-98d4-b34137b19f08_png.rf.135586d63ba8944adf934e8d0cd9cc00.jpg", "expected": "1648", "predicted": "1648", "correct": true, "input_tokens": 1164, "output_tokens": 1043, "elapsed_seconds": 10.652135749929585, "metadata": {"question": "What is the earliest year printed on any of the stamps in this sheet? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.737}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 147, "image": "c91f10e7-1c18-434d-b9e6-2e570646da9d_png.rf.20b9e5afdcfab594a06be3928964180f.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1180, "output_tokens": 689, "elapsed_seconds": 9.505169792100787, "metadata": {"question": "If a driver without disability parking authorization wanted to use the space occupied by the dark sedan, would parking there be permitted? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.539}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 148, "image": "8e2f7010-f314-4b13-badc-9a24ecdd1a45_png.rf.6aef955cc77c9959113ec1f1db73b0c3.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1151, "output_tokens": 627, "elapsed_seconds": 9.231354249990545, "metadata": {"question": "From the perspective of the truck driver seated in the cab and looking forward through the windshield, on which side is the large pyramid of blue drums? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.2814}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 149, "image": "76d985c4-8ba2-4660-871b-939bba136896_png.rf.42cd356e987e94c1579c6ffb589f753c.jpg", "expected": "yes", "predicted": "yes", "correct": true, "input_tokens": 1172, "output_tokens": 706, "elapsed_seconds": 8.227378208073787, "metadata": {"question": "If a qualifying shot must land in the 9-ring or closer to the center, has the target recorded at least five qualifying shots? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.3025}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 150, "image": "76d985c4-8ba2-4660-871b-939bba136896_png.rf.42cd356e987e94c1579c6ffb589f753c.jpg", "expected": "60", "predicted": "60", "correct": true, "input_tokens": 1163, "output_tokens": 1772, "elapsed_seconds": 20.096106458106078, "metadata": {"question": "What is the total score of all shots that landed within the black region of the target? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 20.1691}} diff --git a/results/reasoning_gemini-4-argon-eap_low_20261012_224150.jsonl b/results/reasoning_gemini-4-argon-eap_low_20261012_224150.jsonl deleted file mode 100644 index dcbb0e5..0000000 --- a/results/reasoning_gemini-4-argon-eap_low_20261012_224150.jsonl +++ /dev/null @@ -1,151 +0,0 @@ -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 0, "image": "85202175-9c3b-4a40-b0a9-3c0d33e250b6_png.rf.9afa602969ee1e53f32d2cd370c4c96b.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1157, "output_tokens": 5, "elapsed_seconds": 4.160929334000684, "metadata": {"question": "If a worker wants to rearrange the five numbered pipes so that their labels are in strictly ascending order from top to bottom, what is the minimum number of pipes that must be moved? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.2171}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 1, "image": "4f216ea0-af67-40e1-a226-2884e051db56_png.rf.09105ef6b5dab81d9f1a17fd1c6b2c34.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1147, "output_tokens": 5, "elapsed_seconds": 3.492894708062522, "metadata": {"question": "How many days after the date written on the top right of the letter is the patient's kidney transplant scheduled to take place? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.556}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 2, "image": "d0980bab-2f15-4550-b3e6-813a2ad7e709_png.rf.46eb3c9c65328046e37275727bbeba8f.jpg", "expected": "1/2", "predicted": "1/2", "correct": true, "input_tokens": 1185, "output_tokens": 7, "elapsed_seconds": 3.8345248750410974, "metadata": {"question": "Given that the selected number satisfies condition (iii), what is the probability that it also satisfies condition (iv)? Choose one: 0, 1/4, 1/2, or 1.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.9026}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 3, "image": "85133aaa-d105-42fc-9fb7-95b84cbcead1_png.rf.dd175df27fe32c388e49c027b817bd77.jpg", "expected": "opposite directions", "predicted": "opposite directions", "correct": true, "input_tokens": 1197, "output_tokens": 6, "elapsed_seconds": 4.904666583053768, "metadata": {"question": "In the paved courtyard, a white car and a dark grey sedan are parked side-by-side in the middle. Are these two vehicles parked facing the same direction or opposite directions? Choose one: same direction or opposite directions.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.0004}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 4, "image": "cf479a9e-f37a-4a83-ba88-9c8813100830_png.rf.39718b9777bb616b7fab6dd75e98da87.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1163, "output_tokens": 5, "elapsed_seconds": 3.762261208030395, "metadata": {"question": "From the perspective of the customer standing at the checkout facing the screen, on which side of the scanner is the bagging platform with the plastic bags located? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.8173}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 5, "image": "afb31dc3-8a6d-445f-ac38-f772de2bccd4_png.rf.592a5fece3103b7455dd062f81f25633.jpg", "expected": "upper-left", "predicted": "upper-left", "correct": true, "input_tokens": 1173, "output_tokens": 7, "elapsed_seconds": 4.479001707979478, "metadata": {"question": "Judging by the direction the building shadows point across the block, toward which corner of the image does the sunlight appear to be shining from (i.e., shadows point away from that corner)? Choose one: upper-left, upper-right, lower-left, or lower-right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.5526}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 6, "image": "52dc8fa9-e959-409e-baeb-84dd14382804_png.rf.48fb415d0a2851464da46f9e94f3598b.jpg", "expected": "Flurotec-coated bromobutyl serum stoppers", "predicted": "Flurotec-coated bromobutyl serum stoppers", "correct": true, "input_tokens": 1179, "output_tokens": 14, "elapsed_seconds": 8.726960374973714, "metadata": {"question": "Which packaging material was dispensed furthest above its required quantity? Choose one: amber glass vial, Flurotec-coated bromobutyl serum stoppers, or purple flip-off seal.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.8148}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 7, "image": "badd5270-702b-4161-804a-3875ebeaab25_png.rf.87a2d89de755bd8e677f27f6c325b675.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1182, "output_tokens": 5, "elapsed_seconds": 3.0358967080246657, "metadata": {"question": "In the visible table, what is the difference between the number of rows with Real Customer Group '1278' and those with '1001'? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.0558}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 8, "image": "badd5270-702b-4161-804a-3875ebeaab25_png.rf.87a2d89de755bd8e677f27f6c325b675.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1170, "output_tokens": 5, "elapsed_seconds": 2.719511125003919, "metadata": {"question": "Excluding the row where the Party is 'NONE', how many unique Party values are listed in the table? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7432}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 9, "image": "76bbc10c-bed4-41d3-8622-035eeabc5596_png.rf.b20dacd6d7f36277f12a5de62bcc77d5.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1143, "output_tokens": 5, "elapsed_seconds": 5.677971958997659, "metadata": {"question": "How many total boxes of trial lenses are missing from the column labeled 110 in the bottom section? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.7908}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 10, "image": "76bbc10c-bed4-41d3-8622-035eeabc5596_png.rf.b20dacd6d7f36277f12a5de62bcc77d5.jpg", "expected": "+1.00", "predicted": "+1.00", "correct": true, "input_tokens": 1160, "output_tokens": 9, "elapsed_seconds": 3.810386750032194, "metadata": {"question": "In the bottom section, which SPH power row is completely empty across all five columns? Choose one: +3.00, +2.00, +1.00, or -6.00.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.9232}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 11, "image": "f76b953e-a7af-4f0b-b25d-8464103c4b2d_png.rf.2323d361c5c1df73ba3feca61d206a76.jpg", "expected": "278", "predicted": "278", "correct": true, "input_tokens": 1145, "output_tokens": 7, "elapsed_seconds": 6.783595165936276, "metadata": {"question": "According to the nutritional information, how many total calories (Kcal) are contained in a portion of this snack that contains exactly 18 grams of fat? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.8172}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 12, "image": "f76b953e-a7af-4f0b-b25d-8464103c4b2d_png.rf.2323d361c5c1df73ba3feca61d206a76.jpg", "expected": "58.3%", "predicted": "58.3%", "correct": true, "input_tokens": 1148, "output_tokens": 9, "elapsed_seconds": 4.198343624942936, "metadata": {"question": "Based on the nutritional information per 100g, what percentage of the total energy comes from fat, using 9 kcal per gram of fat? Answer with a percentage rounded to one decimal place.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.2365}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 13, "image": "bb5d817a-0216-4404-a737-dc3a118edda4_png.rf.de0c951943b6ce799e856483fae63599.jpg", "expected": "2.742", "predicted": "2.742", "correct": true, "input_tokens": 1169, "output_tokens": 9, "elapsed_seconds": 2.831579999998212, "metadata": {"question": "Based on the technical drawing, what is the horizontal distance between the leftmost center of the left slot and the vertical centerline of the top hole? Answer with a number rounded to three decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8453}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 14, "image": "f1f21256-337e-4348-ab9a-13351b9666bc_png.rf.f7241e285cd093e86b7c7fa3968fcf5d.jpg", "expected": "11", "predicted": "11", "correct": true, "input_tokens": 1168, "output_tokens": 6, "elapsed_seconds": 3.1129944999702275, "metadata": {"question": "How many days elapse between the date the delivery note was issued and the scheduled delivery date? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.121}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 15, "image": "dc13d7fa-f450-4040-a92b-a7d4f065e31d_png.rf.72799758463340501608cda7b66e2b78.jpg", "expected": "6", "predicted": "23", "correct": false, "input_tokens": 1159, "output_tokens": 6, "elapsed_seconds": 3.393441499909386, "metadata": {"question": "What is the total number of containers associated with all samples designated as composite ('C') under the collection type? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 3.4345}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 16, "image": "dc13d7fa-f450-4040-a92b-a7d4f065e31d_png.rf.72799758463340501608cda7b66e2b78.jpg", "expected": "no", "predicted": "no", "correct": true, "input_tokens": 1161, "output_tokens": 5, "elapsed_seconds": 4.546630040975288, "metadata": {"question": "Does preservation code N apply to more total containers than preservation code S when every checked row is weighted by its listed container count? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.5876}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 17, "image": "8e5b7a3a-7b69-4663-8f76-5b772006e748_png.rf.f9a5eaa49d2d77a19776b2b8db176942.jpg", "expected": "11.9 cm", "predicted": "11.9 cm", "correct": true, "input_tokens": 1162, "output_tokens": 9, "elapsed_seconds": 3.338934166938998, "metadata": {"question": "Based on the horizontal ruler, what is the length of the blister pack? Choose one: 11.4 cm, 11.9 cm, 12.4 cm, or 12.9 cm.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.3554}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 18, "image": "396282bc-0d15-4e53-8803-7e5b69c1bef0_png.rf.7026903692b33b2e719785561327c679.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1186, "output_tokens": 5, "elapsed_seconds": 2.768121999921277, "metadata": {"question": "If the worker wants to assemble another dessert cup matching those on the trays, can it be completed using only the loose ingredients visibly available on the table? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8181}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 19, "image": "ea5e1584-2445-412a-ab88-341719a020fb_png.rf.e18e5930f3b7aaeffe6681b1e4b5928d.jpg", "expected": "4026.72", "predicted": "4026.72", "correct": true, "input_tokens": 1188, "output_tokens": 11, "elapsed_seconds": 3.0070753750624135, "metadata": {"question": "If the \u20ac450 rework discount were removed while all other entries and the 19% VAT rate stayed unchanged, what would the resulting invoice total including VAT be? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.0304}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 20, "image": "8f5959cc-c71e-4f39-926e-f88be3cd618b_png.rf.fd70f6581b5f9ef831b77090bcd8e310.jpg", "expected": "250", "predicted": "250", "correct": true, "input_tokens": 1173, "output_tokens": 7, "elapsed_seconds": 2.5617278749123216, "metadata": {"question": "Subtract the total net weight from the total weight gross listed on the delivery note, and express the packaging weight in grams. Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.5738}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 21, "image": "1eae1c65-b395-4666-85f9-bf941b1def2c_png.rf.ee7f186d8bab2cd5b0cfb02161c8302a.jpg", "expected": "4", "predicted": "3", "correct": false, "input_tokens": 1172, "output_tokens": 5, "elapsed_seconds": 4.348055084003136, "metadata": {"question": "How many days elapsed between the date this cleaning record became effective and the date Section E was crossed out and signed? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 4.4082}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 22, "image": "ed48ae7c-8ca6-4fd9-9483-28df8487b82d_png.rf.36fc2484e3acc322295ec134e0068226.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1192, "output_tokens": 5, "elapsed_seconds": 3.6177307090256363, "metadata": {"question": "From the perspective of a driver sitting inside the white sedan and looking forward, on which side of their vehicle's front end did the collision occur? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.6644}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 23, "image": "96a170be-c707-476a-87c6-8f9229dc9735_png.rf.088cef7f2ff77232fe6904a6836a5135.jpg", "expected": "upper row", "predicted": "upper row", "correct": true, "input_tokens": 1183, "output_tokens": 6, "elapsed_seconds": 3.975838915910572, "metadata": {"question": "For an arriving trailer needing an open marked bay, which row offers more parking options: upper row or lower row? Choose one: upper row or lower row.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.0394}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 24, "image": "f7ec4cc8-90a9-4a3f-8603-91de3073b392_png.rf.669686b7efc2f35cae0ce34ba90377ff.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1153, "output_tokens": 5, "elapsed_seconds": 5.741003458038904, "metadata": {"question": "Based on the position of the audio jack plugged into the panel, which side of the boy's head from his own perspective is closer to the plug? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.7531}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 25, "image": "b5ef866d-feb2-411f-ac5c-40c395cc3c62_png.rf.66b42d06fd426729cfaf37fe699ef682.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1179, "output_tokens": 5, "elapsed_seconds": 4.641943332972005, "metadata": {"question": "If a person walks in a straight line from the trampoline in the middle yard to the swing set in the left yard, how many property fence lines must they cross? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.7499}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 26, "image": "eeee1640-5005-460c-a3f3-12dfff951fc5_png.rf.f39545ddd7734560dd9a051e2c230c8c.jpg", "expected": "right side", "predicted": "right side", "correct": true, "input_tokens": 1163, "output_tokens": 6, "elapsed_seconds": 3.966834499966353, "metadata": {"question": "Based on the perspective of a driver sitting inside the van and looking forward, on which side of the vehicle is the textured concrete wall located? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.0159}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 27, "image": "8a9b0190-2516-4613-a33c-114cf5eb8993_png.rf.923b9627464a61d6941c095f16b9c069.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1161, "output_tokens": 5, "elapsed_seconds": 3.171069624950178, "metadata": {"question": "If every visible wrapped burger must be served with its own bag of fries, how many additional bags of fries are needed? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.2383}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 28, "image": "2f5026b8-8dc1-4831-94a4-d9f1c102b0fd_png.rf.17d85e9f6c9abd757c801aa0d47f423e.jpg", "expected": "9", "predicted": "9", "correct": true, "input_tokens": 1148, "output_tokens": 5, "elapsed_seconds": 7.943333165952936, "metadata": {"question": "Counting from the start date of Steel Fabrication to the start date of Fit off on this schedule, how many days elapse in total? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.0737}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 29, "image": "f4155be5-83b2-4214-89e0-b21906a781bd_png.rf.f865f92d82e075d8770a8aa212800d2e.jpg", "expected": "48.50", "predicted": "48.50", "correct": true, "input_tokens": 1167, "output_tokens": 9, "elapsed_seconds": 3.168693833053112, "metadata": {"question": "What is the actual total cost of all liquid beverages (Coke Zero, Pot Of Tea, Mochaccino, and Latte) listed on the receipt? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.2286}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 30, "image": "f4155be5-83b2-4214-89e0-b21906a781bd_png.rf.f865f92d82e075d8770a8aa212800d2e.jpg", "expected": "247.50", "predicted": "247.50", "correct": true, "input_tokens": 1158, "output_tokens": 10, "elapsed_seconds": 3.0862271250225604, "metadata": {"question": "If the group had ordered only one Mochaccino instead of two, what would the new total bill be? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1461}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 31, "image": "c9b00dcb-e093-43d9-baf8-f1971ff328af_png.rf.41492638acc0aba933dc61f9c675d2c7.jpg", "expected": "22", "predicted": "22", "correct": true, "input_tokens": 1144, "output_tokens": 6, "elapsed_seconds": 3.5378710420336574, "metadata": {"question": "If a patient takes one capsule per day from this pack, how many days of medication are remaining in the pack? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.591}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 32, "image": "b4ac0ec8-9f7d-4769-ae70-3d0a959ca24b_png.rf.85ff21bb1ee3df65bbc402ec233ed80a.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1189, "output_tokens": 5, "elapsed_seconds": 2.9241607500007376, "metadata": {"question": "If the green and blue rings on the right-hand board were swapped, how many ring positions on that board would still differ from the left-hand board? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9714}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 33, "image": "34d45dd0-c14f-4a0a-9ff1-031d92a49ca1_png.rf.85c2cfa50183c292a49aaa7c9b2f0064.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1191, "output_tokens": 5, "elapsed_seconds": 3.210677459021099, "metadata": {"question": "Based on the orientation of the stopped green SUV, on which side of the vehicle is the fallen motorcyclist lying from the perspective of a driver sitting inside looking forward? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.2627}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 34, "image": "403906f1-d101-4a15-b0b3-43f90df6b13e_png.rf.9db9421ec54b4a1bf4b5d2a3462836c6.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1182, "output_tokens": 5, "elapsed_seconds": 4.81856541603338, "metadata": {"question": "From the perspective of the man standing and walking along the aisle, on which side is the passenger holding reading papers seated? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.9147}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 35, "image": "5a48fe25-9006-45d1-ac0c-fab115eb5d1a_png.rf.3951f54e9e9535809ab4efc645c98048.jpg", "expected": "1", "predicted": "3", "correct": false, "input_tokens": 1153, "output_tokens": 5, "elapsed_seconds": 8.611287583014928, "metadata": {"question": "Based on the stacking limit symbol printed on the boxes, what is the maximum number of additional identical boxes that can be safely stacked on top of the foreground box? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 8.7373}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 36, "image": "6711dc5a-8b63-441e-8fea-910b9298bde9_png.rf.7ed399c3d00da2923147fe6901bc90e0.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1160, "output_tokens": 5, "elapsed_seconds": 3.4043143331073225, "metadata": {"question": "A worker wants to fill the crate's empty floor space with more punnets of the same size, laid flat in a single layer alongside the existing ones. How many additional punnets fit? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.4774}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 37, "image": "04a7e555-066a-4662-be7d-1fab1d0a89bb_png.rf.1c99b9faeb404517267846787ed66438.jpg", "expected": "decreased", "predicted": "decreased", "correct": true, "input_tokens": 1141, "output_tokens": 5, "elapsed_seconds": 4.029939458006993, "metadata": {"question": "To move the shown pressure into the green band, should the system pressure be increased or decreased? Choose one: increased or decreased.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.1061}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 38, "image": "1710a83d-1506-464e-83bf-f015141f1c37_png.rf.bca4b5702f3d41d061d317ac2e0ea038.jpg", "expected": "10", "predicted": "10", "correct": true, "input_tokens": 1183, "output_tokens": 6, "elapsed_seconds": 2.698494166950695, "metadata": {"question": "If a patient can only attend appointments at or after 11:00 AM, how many of the displayed time slots across the entire week are available to them? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7128}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 39, "image": "1f2fe1d2-a6a6-4e60-a8e9-5a44e686ea1f_png.rf.e04f0049aa2caa0571f54b741224339f.jpg", "expected": "0", "predicted": "0", "correct": true, "input_tokens": 1167, "output_tokens": 5, "elapsed_seconds": 3.1087946660118178, "metadata": {"question": "How many of the cans on the table are lying on their side rather than standing upright? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.179}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 40, "image": "986ae5b8-bac5-432c-9ab1-afa7c98c2ef6_png.rf.004ba60e063ba1ac27b397a96d9539ee.jpg", "expected": "ASML Hld", "predicted": "ASML Hld", "correct": true, "input_tokens": 1188, "output_tokens": 8, "elapsed_seconds": 2.3075508329784498, "metadata": {"question": "Which of the following stocks listed under the letter 'A' has a 'Last' price that exceeds its listed 52-week High? Choose one: ASML Hld, ASV Inc s, ATI Tech, or ATMI Inc.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.3385}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 41, "image": "0de03edc-15c5-4782-a74b-7cedb1df477b_png.rf.25fbbbda8291953bf4362acd5ea98104.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1187, "output_tokens": 5, "elapsed_seconds": 3.072155583067797, "metadata": {"question": "Based on the sequential numbering of the exercises, how many numbered problems between (1) and (14) are missing from this worksheet? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.0861}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 42, "image": "107aeb67-63af-49d6-874c-d2505fa3fa43_png.rf.dd08291695888d5c30c0c4d82e0d1f5c.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1148, "output_tokens": 5, "elapsed_seconds": 5.763726415927522, "metadata": {"question": "To open the left door of the container, what is the minimum number of vertical locking bars that must be disengaged across the entire container? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.8609}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 43, "image": "3798710d-6abc-41a9-a6fa-69b36af142fd_png.rf.7513f727ea31e7a4d75594a64c1cd041.jpg", "expected": "168", "predicted": "168", "correct": true, "input_tokens": 1191, "output_tokens": 7, "elapsed_seconds": 4.941513957921416, "metadata": {"question": "According to the red digital display on the right, the current time is shown on the bottom line. If the train is scheduled to reach its destination at 09:35, how many minutes of travel time remain? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.0214}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 44, "image": "dce06136-2d24-422b-a3b6-e100c9a4bad1_png.rf.ac128576e826b2eca821e98b5f31f992.jpg", "expected": "Bihar", "predicted": "Bihar", "correct": true, "input_tokens": 1186, "output_tokens": 5, "elapsed_seconds": 5.690696083009243, "metadata": {"question": "A quality inspector sees a pack whose printed batch number begins with the characters 'AB'. According to the information on this pack, in which Indian state was that pack manufactured? Choose one: Bihar, Haryana, Assam, or Punjab.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.7401}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 45, "image": "de2bbe1d-be94-4d71-97d8-2c316733c49d_png.rf.3e37eee81410925ab9219df63ec1cca0.jpg", "expected": "10", "predicted": "10", "correct": true, "input_tokens": 1167, "output_tokens": 6, "elapsed_seconds": 2.5723462500609457, "metadata": {"question": "If a person consumes exactly three packets per day, what is the maximum number of full days this box of packets will last? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.5978}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 46, "image": "09c2792b-3755-4eee-828f-fa0c2567760f_png.rf.c5f2d9113af4bbc2882b49e0ae573966.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1206, "output_tokens": 5, "elapsed_seconds": 6.792054082965478, "metadata": {"question": "To balance the shelves so that both have an equal number of books, how many books must be moved from the bottom shelf to the top shelf? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.8374}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 47, "image": "57ae8fef-d674-43e7-9cf4-e7aeddb9e311_png.rf.88bc8729d68c7e1a097ea61f60d08ffc.jpg", "expected": "400", "predicted": "400", "correct": true, "input_tokens": 1167, "output_tokens": 7, "elapsed_seconds": 4.4617408328922465, "metadata": {"question": "What is the total value of all the banknotes shown in the image, in Malaysian Ringgit (RM)? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.5555}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 48, "image": "26584325-f95e-41e4-9f4b-99afc5ff078d_png.rf.9c541fbfbbd37f1e00d8f04f9ac40b45.jpg", "expected": "beetroot", "predicted": "beetroot", "correct": true, "input_tokens": 1151, "output_tokens": 6, "elapsed_seconds": 4.366366541944444, "metadata": {"question": "Based on the details of the planted vegetables, which specific vegetable was planted from a tray instead of 6-packs? Choose one: beetroot, celery, coriander, or marigold.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.4465}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 49, "image": "20b7a85e-989a-4fa8-b275-6a1d92d2118a_png.rf.3bcf6e487a9fb4eb1f3f3848b5465060.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1183, "output_tokens": 5, "elapsed_seconds": 3.2191639579832554, "metadata": {"question": "If the white ball-handler shoots without moving his feet, how many points would a made basket be worth under standard basketball rules? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.2758}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 50, "image": "7a31b46f-531b-43e7-895b-4e25e049abb3_png.rf.119ce2ebe0cff7f16bc80422173c188a.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1139, "output_tokens": 5, "elapsed_seconds": 3.4214996669907123, "metadata": {"question": "If only the visible rear door were replaced, would all of the visible scrape damage be eliminated? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.4922}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 51, "image": "7a31b46f-531b-43e7-895b-4e25e049abb3_png.rf.119ce2ebe0cff7f16bc80422173c188a.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1139, "output_tokens": 5, "elapsed_seconds": 5.177988999988884, "metadata": {"question": "From the perspective of a driver seated inside and facing forward, which side is it? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.2491}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 52, "image": "82172a50-05ec-4f75-9b67-02d726a97981_png.rf.b6b418d86b460b5df29a48b3cf9bff9f.jpg", "expected": "yes", "predicted": "no", "correct": false, "input_tokens": 1146, "output_tokens": 5, "elapsed_seconds": 3.016227166983299, "metadata": {"question": "This car is driving toward the viewer's position, and this road follows right-hand traffic rules. Is the car currently keeping to its correct side of the road? Answer yes or no.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 3.0626}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 53, "image": "612c657e-0e9c-4b2b-a741-2d1b1158c172_png.rf.e46b67734667d8de639182c1c6b58968.jpg", "expected": "left hand", "predicted": "left hand", "correct": true, "input_tokens": 1146, "output_tokens": 6, "elapsed_seconds": 3.11292666697409, "metadata": {"question": "Based on the anatomical structure and the grip shown, which of the person's hands is holding the paper? Choose one: left hand or right hand.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1935}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 54, "image": "bc085807-a87c-42c4-85dc-07885733dac6_png.rf.86d16faa2e4e01ea9b2f076098eda3da.jpg", "expected": "2805.47", "predicted": "2805.47", "correct": true, "input_tokens": 1192, "output_tokens": 11, "elapsed_seconds": 3.6198064169147983, "metadata": {"question": "If the customer adds two more units of Product XYZ while the unit price and tax rate stay the same, what will the revised invoice total be? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.6309}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 55, "image": "4d261616-1f0b-4f51-8ebe-eaee7b84825e_png.rf.e8a48b995002e60e7809ef941602370f.jpg", "expected": "left side", "predicted": "left side", "correct": true, "input_tokens": 1162, "output_tokens": 6, "elapsed_seconds": 2.3103330000303686, "metadata": {"question": "From the perspective of a driver seated inside and facing forward, which side of the car contains the visible damage? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.3265}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 56, "image": "7d7e098f-4a0d-4864-b2ea-d57988d4d061_png.rf.950712e3033a1d927b27752329326738.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1180, "output_tokens": 5, "elapsed_seconds": 5.413238666020334, "metadata": {"question": "From the perspective of a driver inside the blue SUV at the bottom of the image looking forward, on which side of their vehicle is the yellow Mazda? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.5326}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 57, "image": "19f45907-d682-40cf-bb87-9133dc873871_png.rf.8d5ae1def0513a436febceba4ca296a6.jpg", "expected": "left hand", "predicted": "left hand", "correct": true, "input_tokens": 1195, "output_tokens": 6, "elapsed_seconds": 3.3640032910043374, "metadata": {"question": "Based on the visible features and orientation of the hand pressing the button, which of the person's hands is being used? Choose one: left hand or right hand.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.3853}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 58, "image": "347cb08d-5018-4506-8ff7-6052b5215bee_png.rf.f2241527449eeba4edc25991a9428857.jpg", "expected": "19190.95", "predicted": "19190.95", "correct": true, "input_tokens": 1199, "output_tokens": 12, "elapsed_seconds": 3.9352129170438275, "metadata": {"question": "If the e-transfer withdrawal to 'budget AUTO glass' on July 15 had not occurred, what would the final balance be after the transaction on July 16? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.9621}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 59, "image": "6bdb57de-1206-40d4-a60a-1ac4c22a0468_png.rf.a9d75682ae8f6507d6225b4fa0e1d7f6.jpg", "expected": "right side", "predicted": "right side", "correct": true, "input_tokens": 1177, "output_tokens": 6, "elapsed_seconds": 3.839132291963324, "metadata": {"question": "From the perspective of the driver sitting inside the vehicle looking forward, on which side of the dashboard is the plush toy located? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.8655}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 60, "image": "97a91186-1382-40c6-8e10-ca36e7a94269_png.rf.f9de5fd2b340b608eb21d6e7fc1d9949.jpg", "expected": "parallel", "predicted": "parallel", "correct": true, "input_tokens": 1186, "output_tokens": 5, "elapsed_seconds": 4.444830582942814, "metadata": {"question": "Consider the log currently held in the grapple above the pile. Is its long axis oriented parallel or perpendicular to the logs stacked in the pile? Choose one: parallel or perpendicular.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.4613}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 61, "image": "68b07f85-3cf2-4e70-af98-06ef0c9d2c58_png.rf.d63e64af870bba743f8c88c43567124d.jpg", "expected": "unloading", "predicted": "loading", "correct": false, "input_tokens": 1168, "output_tokens": 5, "elapsed_seconds": 2.8710792909841985, "metadata": {"question": "Based on the worker's posture and direction of movement, is he loading the stack of red crates into the truck or unloading them from the truck? Choose one: loading or unloading.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 2.9195}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 62, "image": "db85c5c8-8aa2-4f36-93dd-7f73a9c7b9c0_png.rf.d13c340009833ccd6defe35016843595.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1186, "output_tokens": 5, "elapsed_seconds": 4.572648707893677, "metadata": {"question": "From the perspective of a driver sitting inside the car and looking forward, on which side of the vehicle is the 'SPORT' badge located? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.6233}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 63, "image": "2e1a4d87-f03c-4189-9406-7968664edda2_png.rf.7605c122843447cd3cbdda9bfc61fe25.jpg", "expected": "2700.00", "predicted": "2700.00", "correct": true, "input_tokens": 1192, "output_tokens": 11, "elapsed_seconds": 3.6377724580233917, "metadata": {"question": "If the same supplier shipped 100 additional cartons of head gear at the same average per-carton weight implied by this invoice, what would the new total gross weight be in kilograms? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.6796}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 64, "image": "2e15743f-6bc8-4cce-8ec0-66eea3a6ca2f_png.rf.dff2a916b2154426e2043eda4cd591dd.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1176, "output_tokens": 5, "elapsed_seconds": 5.672624833066948, "metadata": {"question": "How many vertical columns in the vending machine contain at least one Pepsi can? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.7096}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 65, "image": "3f655000-3416-4906-8785-f716a5195996_png.rf.43d1001a93452d12ad70e047d2c6ed7e.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1184, "output_tokens": 5, "elapsed_seconds": 5.478854999993928, "metadata": {"question": "If you want to prepare breakfast plates that each require exactly 2 eggs and half an apple, what is the maximum number of such plates you can complete using only the visible eggs and apples? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.5802}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 66, "image": "4b1a9f4a-6b60-4350-b603-55755b49eaa7_png.rf.1a82163a0fad58cd34885043f4c4eb55.jpg", "expected": "15", "predicted": "15", "correct": true, "input_tokens": 1174, "output_tokens": 6, "elapsed_seconds": 5.334832292050123, "metadata": {"question": "At V_DS = 10 V, what is the approximate increase in drain current when V_GS rises from 6 V to 7 V? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.3578}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 67, "image": "0b0da260-9ab1-48b3-a909-03dc21a83345_png.rf.be24612c532b032d65b0228f30386968.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1179, "output_tokens": 5, "elapsed_seconds": 3.0415622079744935, "metadata": {"question": "If you need to retrieve the box sealed with blue tape, what is the minimum number of other boxes you must remove first so that it is completely unobstructed from above? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1345}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 68, "image": "214d5a30-f38a-4509-bd53-1e3ea49f9c8b_png.rf.adb2216acfcf57012a8ae573e973f1ca.jpg", "expected": "11.80", "predicted": "11.80", "correct": true, "input_tokens": 1156, "output_tokens": 9, "elapsed_seconds": 4.963115375023335, "metadata": {"question": "What is the total amount of GST commission charges (NEFT-GST-COMMISSION) debited on September 15, 2025? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.0301}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 69, "image": "a605175c-be9c-4e9b-8f69-540e233aa5e8_png.rf.3f3d5135536b2e36c9325081fe4f36ee.jpg", "expected": "left side", "predicted": "left side", "correct": true, "input_tokens": 1202, "output_tokens": 6, "elapsed_seconds": 3.5916999169858173, "metadata": {"question": "Based on the position of the wheel and the wrapping of the bumper, which side of the vehicle (from the perspective of a driver sitting inside and looking forward) is damaged? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.6139}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 70, "image": "01d2cf72-1e3e-425b-8743-ef01ca46252d_png.rf.3f9dc60e26c06dbdc9181e5b067126a0.jpg", "expected": "46.2%", "predicted": "46.2%", "correct": true, "input_tokens": 1172, "output_tokens": 9, "elapsed_seconds": 2.707728708977811, "metadata": {"question": "Based on the nutritional information per 100g, what percentage of the total fat is saturated fat? Answer with a percentage rounded to one decimal place.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7269}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 71, "image": "423751b4-264a-4fed-acd4-7432a257389d_png.rf.aca151f72457b1604c2dc4b92bce1c2e.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1182, "output_tokens": 5, "elapsed_seconds": 2.7989992080256343, "metadata": {"question": "Based on the technical drawing, what is the total tolerance range (the difference between the maximum and minimum allowable values) for the dimension associated with balloon 24? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8303}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 72, "image": "86827a6f-9148-40bc-84eb-1f26a69fb426_png.rf.7a36b6597b39ee2cb27e013247477184.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1162, "output_tokens": 5, "elapsed_seconds": 4.152586166979745, "metadata": {"question": "From the perspective of a driver sitting inside the white truck in the foreground and looking forward, on which side of their vehicle is the black SUV? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.1842}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 73, "image": "dfe78d58-fa15-49ac-8673-04b364aaf8f6_png.rf.343b9ddb4be588f14fa49047c656c256.jpg", "expected": "opposite side", "predicted": "opposite side", "correct": true, "input_tokens": 1197, "output_tokens": 6, "elapsed_seconds": 24.315996209043078, "metadata": {"question": "Based on the direction of the shadows cast on the dock, is the sun located on the same side of the ship as the dock, or on the opposite side of the ship? Choose one: same side, or opposite side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 24.3713}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 74, "image": "85119d73-c38d-44d4-80b9-f7cfc4848029_png.rf.6faf117b9b48a03e7226813130cb8c31.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1203, "output_tokens": 5, "elapsed_seconds": 9.49641341692768, "metadata": {"question": "Treat each occupied compartment as one movable stack. What is the minimum number of whole stacks that must be moved so that no two adjacent occupied compartments contain the same color? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.5274}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 75, "image": "73825c5f-4954-4824-8572-64ed5602323c_png.rf.fac850718e77f19df27b7bf90d021ba7.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1146, "output_tokens": 5, "elapsed_seconds": 5.219512333977036, "metadata": {"question": "What is the minimum number of doors a person must pass through to travel from Bedroom 2 to Bedroom 4? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.2339}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 76, "image": "ea00a7d2-1d73-45a3-8950-7f911a746913_png.rf.6d8d4591e8c887c3d43e174e43cfd621.jpg", "expected": "24", "predicted": "24", "correct": true, "input_tokens": 1154, "output_tokens": 6, "elapsed_seconds": 2.6007451670011505, "metadata": {"question": "Based on the 'Hired From' and 'Hired To' dates listed under Employment Data, for how many full years was the subject employed at SOLAR TRADE? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.6175}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 77, "image": "e8894dda-fd01-4e8f-b233-7aa1c6924174_png.rf.f8d49103c494c77bf0b4a1c79b12bd32.jpg", "expected": "145", "predicted": "145", "correct": true, "input_tokens": 1161, "output_tokens": 7, "elapsed_seconds": 4.0346166249364614, "metadata": {"question": "What is the difference in grams between the target weight indicated in the product name and the actual net quantity of this muskmelon? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.0795}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 78, "image": "29f47b83-0092-4736-a8e7-b3ef23a92354_png.rf.fb2f7e6c321affb606a4919b6a7433ae.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1178, "output_tokens": 5, "elapsed_seconds": 4.135513374931179, "metadata": {"question": "Based on the handwritten dates at the top of the form, how many days elapse between the date the document was written and its effective date? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.1503}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 79, "image": "5cf55f37-8adb-4adb-9520-148340548028_png.rf.e1605fd47b5ae75ba9c34cdcde09e17c.jpg", "expected": "July 10, 2016", "predicted": "June 10, 2016", "correct": false, "input_tokens": 1204, "output_tokens": 14, "elapsed_seconds": 4.890816916944459, "metadata": {"question": "According to the payment terms and the invoice date, when is payment due? Choose one: June 10, 2016; July 10, 2016; July 5, 2016; August 10, 2016.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 4.9072}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 80, "image": "dae8c81a-4de4-4ef4-9301-25ca1ba03574_png.rf.d6aaed535d1e3ed00116c2b44301deea.jpg", "expected": "away", "predicted": "toward", "correct": false, "input_tokens": 1196, "output_tokens": 5, "elapsed_seconds": 8.957585500087589, "metadata": {"question": "If a worker grabbed the yellow pallet jack's handle and pulled it straight in the direction the handle currently points, would the jack move generally toward the central packing table or away from it? Choose one: toward or away.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 9.0121}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 81, "image": "9056e25e-2e7e-4746-b766-49e5c6aa52df_png.rf.9e357fa580bcb749370734803ddf5655.jpg", "expected": "left side", "predicted": "left side", "correct": true, "input_tokens": 1181, "output_tokens": 6, "elapsed_seconds": 8.603285416960716, "metadata": {"question": "Based on the door handle's position relative to the vertical seam and the wheel arch at the bottom, which side of the vehicle is shown (from the perspective of a passenger sitting inside and facing forward)? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.6553}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 82, "image": "47ad34a1-d784-48fd-bf0b-9814791703e3_png.rf.0d90c040409da9a682d9d7db5b14476f.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1162, "output_tokens": 5, "elapsed_seconds": 4.630194457946345, "metadata": {"question": "If the Mercedes moves exactly one lane to its left, would it enter the same lane currently occupied by the smaller black car ahead? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.7069}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 83, "image": "0f7a1b1b-b0f9-4dba-9659-0455701b7a3f_png.rf.28278968509f5982105a211e62ac44b1.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1141, "output_tokens": 5, "elapsed_seconds": 4.264853458036669, "metadata": {"question": "Would improving only the attributes currently rated 4 be sufficient to make every listed attribute receive the highest rating? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.2799}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 84, "image": "0f7a1b1b-b0f9-4dba-9659-0455701b7a3f_png.rf.28278968509f5982105a211e62ac44b1.jpg", "expected": "4.5", "predicted": "4.5", "correct": true, "input_tokens": 1139, "output_tokens": 7, "elapsed_seconds": 3.8583622919395566, "metadata": {"question": "What is the average score of the attributes associated with PO11? Answer with a number rounded to one decimal place.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.873}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 85, "image": "be797fcf-056b-44b2-a1da-b667c3185959_png.rf.29cfb688a5b86d169cb8732bb04f0f72.jpg", "expected": "22", "predicted": "24", "correct": false, "input_tokens": 1166, "output_tokens": 6, "elapsed_seconds": 5.048534791916609, "metadata": {"question": "If the black tray in the foreground has a total capacity of 10 rows with 5 slots per row, how many more devices are needed to completely fill it? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 5.102}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 86, "image": "861cb64d-800a-4635-999c-739199f8b473_png.rf.c6b83038f9d574bf6dccf2b1554017ec.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1170, "output_tokens": 5, "elapsed_seconds": 3.588389249984175, "metadata": {"question": "Based on the date of the letter and the details provided in the text, how many days are expected to elapse between the date the check was mailed and the date MDA is expected to receive it? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.605}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 87, "image": "22c3fc7f-6563-4f41-8eac-8c7d425b5633_png.rf.2dd8b94855832744d13e2f1185950566.jpg", "expected": "18", "predicted": "18", "correct": true, "input_tokens": 1173, "output_tokens": 6, "elapsed_seconds": 37.88943824998569, "metadata": {"question": "Based on the manpower details table, what is the total number of normal hours (NOR) worked by all listed employees combined on this day? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 37.9223}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 88, "image": "e47241e5-70ca-420f-9c96-05b3095ff135_png.rf.7a32ff91ffc2f7aad43c713c84c3052b.jpg", "expected": "G003...80", "predicted": "G003...80", "correct": true, "input_tokens": 1227, "output_tokens": 11, "elapsed_seconds": 37.3483931660885, "metadata": {"question": "A designer needs a resistor with a resistance of 2.0 k\u03a9 and a tolerance of \u00b10.05%. Based on the specifications, what is the Global Model of the lightest resistor that meets these requirements? Choose one: G001...80, G002, G003...80, or G005.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 37.3985}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 89, "image": "1c9d39fb-7707-4058-8d39-5ef46b4d46bf_png.rf.3c3842ab73120c2d5d767bf08e3b9b44.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1186, "output_tokens": 5, "elapsed_seconds": 10.652667209040374, "metadata": {"question": "From the perspective of the driver seated inside the white pickup and facing its direction of travel, on which side of the truck is the pedestrian? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.7145}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 90, "image": "2d031b53-a61c-4de0-b98e-52b14a4c6fcc_png.rf.1abec44486981464bee69aff5fc4acdd.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1158, "output_tokens": 5, "elapsed_seconds": 9.628381417016499, "metadata": {"question": "Assuming each of the two pizzas on the warming station was originally cut into 6 equal slices, how many slices in total have been sold? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.6615}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 91, "image": "d06e0e70-1bed-4998-bcd4-bc8eccac71d3_png.rf.bd4e209d1eda6cadcb0362c0e61a56a0.jpg", "expected": "253730", "predicted": "253730", "correct": true, "input_tokens": 1183, "output_tokens": 10, "elapsed_seconds": 9.600411875057034, "metadata": {"question": "Using a rule of Medium priority before Low priority, then earliest Created Date to break a tie, which visible ticket should be handled next? Answer with ticket ID.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.6309}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 92, "image": "d06e0e70-1bed-4998-bcd4-bc8eccac71d3_png.rf.bd4e209d1eda6cadcb0362c0e61a56a0.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1182, "output_tokens": 5, "elapsed_seconds": 9.357752374955453, "metadata": {"question": "What is the time difference in hours between the earliest and latest tickets created on Apr 6, 2026? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.3888}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 93, "image": "b3f197fe-81ad-4fc1-bd69-d3b01d48b2b8_png.rf.5abbc57e2abc00bdf8184ff41d45e10c.jpg", "expected": "right hand", "predicted": "right hand", "correct": true, "input_tokens": 1145, "output_tokens": 6, "elapsed_seconds": 22.476847250014544, "metadata": {"question": "Based on the position of the thumb and fingers, which hand is the operator using to hold the scanner? Choose one: left hand or right hand.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 22.5585}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 94, "image": "b3f197fe-81ad-4fc1-bd69-d3b01d48b2b8_png.rf.5abbc57e2abc00bdf8184ff41d45e10c.jpg", "expected": "up", "predicted": "up", "correct": true, "input_tokens": 1163, "output_tokens": 5, "elapsed_seconds": 5.485143790952861, "metadata": {"question": "Keeping the scanner at its current tilt so the beam stays horizontal, in which direction should the worker shift the beam so it crosses a barcode's bars perpendicularly and can decode it? Choose one: up, down, left, or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.5705}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 95, "image": "0d8b9fdc-32fc-4324-9e81-414d7762982a_png.rf.10e3ab24f0cc229fc194f19150a9088a.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1167, "output_tokens": 5, "elapsed_seconds": 3.0186682080384344, "metadata": {"question": "Which room number becomes completely isolated from all other rooms if the sliding door SD is closed? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.0372}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 96, "image": "0d8b9fdc-32fc-4324-9e81-414d7762982a_png.rf.10e3ab24f0cc229fc194f19150a9088a.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1174, "output_tokens": 5, "elapsed_seconds": 3.0073366250144318, "metadata": {"question": "What is the minimum number of doors a person must pass through to travel from BedRoom 2 to BathRoom 5? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.0292}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 97, "image": "56b1bbe0-a003-4ba6-8cb2-08dd2f74a08a_png.rf.48d53e8f7bf6d0dbcf9eb16889b0777a.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1177, "output_tokens": 5, "elapsed_seconds": 3.6605857919203117, "metadata": {"question": "Based on the relative timestamps shown in the screenshot of the thread, how many hours after Benji Taylor's post did Paul Macgregor post his response? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.6711}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 98, "image": "c2dd6dca-767e-4fe1-8dfb-ead3a37507db_png.rf.96bbfed9aead2bbd919d3b4c1237287a.jpg", "expected": "1.3%", "predicted": "1.3%", "correct": true, "input_tokens": 1178, "output_tokens": 8, "elapsed_seconds": 7.425802999990992, "metadata": {"question": "Comparing the loading units and offloading units recorded on the note, what percentage of the loaded manganese ore fines was lost in transit? Answer with a percentage rounded to one decimal place.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.4696}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 99, "image": "c2dd6dca-767e-4fe1-8dfb-ead3a37507db_png.rf.96bbfed9aead2bbd919d3b4c1237287a.jpg", "expected": "520", "predicted": "520", "correct": true, "input_tokens": 1167, "output_tokens": 7, "elapsed_seconds": 6.562113916967064, "metadata": {"question": "What is the difference between the loading units and the offloading units recorded on this delivery note? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.6067}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 100, "image": "d8552ab5-9930-4bd4-a00c-0f4adbeb76e4_png.rf.fc1f316aa3e9348a20e81d0e619cfa66.jpg", "expected": "yes", "predicted": "yes", "correct": true, "input_tokens": 1183, "output_tokens": 5, "elapsed_seconds": 3.758116750046611, "metadata": {"question": "If this document is folded exactly in half by bringing the top edge down to meet the bottom edge, will the two punched holes on the left margin align to overlap each other? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.7711}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 101, "image": "42990fe8-872a-4d4e-a1f9-7926a990b803_png.rf.542a9bb854b1ddec7ea9b3c71f102c32.jpg", "expected": "13", "predicted": "13", "correct": true, "input_tokens": 1140, "output_tokens": 6, "elapsed_seconds": 2.9538886250229552, "metadata": {"question": "What is the difference between the number of recorded heights that are at least 150 centimetres and those that are under 142 centimetres? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9589}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 102, "image": "bcf2178d-166f-4ae9-a0ef-40c03e873d7b_png.rf.45781833e957384c1cc81ae703e548a8.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1187, "output_tokens": 5, "elapsed_seconds": 5.151588166947477, "metadata": {"question": "Judging from the direction traffic travels on this roadway, which barrier are the two crashed SUVs resting against from the perspective of drivers on this road? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.1938}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 103, "image": "e8acc7bd-43d8-4902-8871-758a81216657_png.rf.3fdb3f122bcab387f522f1113b53a202.jpg", "expected": "yes", "predicted": "yes", "correct": true, "input_tokens": 1193, "output_tokens": 5, "elapsed_seconds": 7.680158040951937, "metadata": {"question": "A goaltender standing in the crease of the visible net faces up-ice toward the oncoming play. Are the majority of the green-jerseyed players currently on his left side? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.7342}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 104, "image": "c9dbd271-e8bd-4a4c-9d90-dcc53a4910f6_png.rf.7b116829f9e80042e6ff64cae0ce75bd.jpg", "expected": "18", "predicted": "18", "correct": true, "input_tokens": 1193, "output_tokens": 6, "elapsed_seconds": 5.52490754192695, "metadata": {"question": "Using standard chess piece values where a pawn is 1 point, a bishop or knight is 3 points, and a rook is 5 points, what is the total point value of the captured white pieces set aside on the right? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.577}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 105, "image": "4409ba1c-5b55-47e4-8fb3-ed245021d0bb_png.rf.274f7c4fb87e3efa82cd64b8840d0de7.jpg", "expected": "75.00", "predicted": "75.00", "correct": true, "input_tokens": 1151, "output_tokens": 9, "elapsed_seconds": 17.828528499929234, "metadata": {"question": "If the customer had decided to keep the Lipsy Bikini Bottoms instead of returning them, what would the total refunded amount be? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 17.9005}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 106, "image": "dc0f068d-8a08-4674-8415-973756621fea_png.rf.e7ad2a97bf4cfd59534ddd786e1bfa09.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1180, "output_tokens": 5, "elapsed_seconds": 6.840240458957851, "metadata": {"question": "What is the difference between the number of times 'C' is marked and the number of times 'D' is marked on this sheet? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.8449}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 107, "image": "fd40be2e-2c23-4d4f-9af8-bee299b30fb0_png.rf.d32862e3f7c08fa121abceaa35a724bf.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1142, "output_tokens": 5, "elapsed_seconds": 5.712559874984436, "metadata": {"question": "How many of the 9 columns in the vending machine contain at least one bottle with a green cap? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.7676}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 108, "image": "39e13a5d-7f3d-4cb3-b99e-5a31236bdb32_png.rf.ac7593ea805bf54030232955f3054140.jpg", "expected": "38", "predicted": "38", "correct": true, "input_tokens": 1155, "output_tokens": 6, "elapsed_seconds": 4.263404208002612, "metadata": {"question": "If we want to fill the display cabinet so that every compartment contains exactly one car, how many additional cars must be added? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.2674}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 109, "image": "ed033e2a-4072-4930-98ed-35aa45aee1d9_png.rf.3b133b1ed5ad005654d6d55fde0e6a80.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1178, "output_tokens": 5, "elapsed_seconds": 7.642710707965307, "metadata": {"question": "From the perspective of a driver sitting inside the cab of the dump truck with the green tarp and looking forward, which side door of the cab is open? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.7185}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 110, "image": "25e6ed9c-2d37-4533-8021-977770aa97d1_png.rf.5e4c7a4776bb280dedd569d309846abd.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1182, "output_tokens": 5, "elapsed_seconds": 73.43879212497268, "metadata": {"question": "Without adding or removing any cylinders, can the load be rearranged so that all four horizontal rows contain exactly the same number of cylinders? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 73.4909}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 111, "image": "17a88e1e-fb1c-46f0-8620-8f19854b8fff_png.rf.e4fb269a60ea85233a7bdd3d43ef4aa1.jpg", "expected": "right side", "predicted": "right side", "correct": false, "input_tokens": 1195, "output_tokens": 6, "elapsed_seconds": 15.955844375072047, "metadata": {"question": "Based on the relative positions of the wheel and the front fog light, which side of the vehicle (from the perspective of a driver sitting inside and looking forward) is damaged? Choose one: left side or right side.", "strict_correct": true, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 15.9769}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 112, "image": "3a1d4bd3-6db0-4cda-881d-e9ae4c194abb_png.rf.34d91902d10ee43e73241d5a9df8fa98.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1157, "output_tokens": 5, "elapsed_seconds": 80.3549589579925, "metadata": {"question": "From the perspective of an officer sitting in the driver's seat of this SUV and facing forward, on which side of the vehicle is the person in the hooded sweatshirt standing? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 80.4612}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 113, "image": "0c721c3c-19a5-4857-89af-7d480d1a8ad6_png.rf.d4d68898257830e57382ff91e2ca4912.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1185, "output_tokens": 5, "elapsed_seconds": 7.879103541956283, "metadata": {"question": "A patient must take medication only on odd-numbered days of the week (days 1, 3, 5, and 7), leaving even-numbered days (days 2, 4, and 6) empty. How many of the 28 trays are prepared exactly according to this schedule? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 2, "retries": 1, "total_seconds": 46.3239, "transient_errors": ["ReadError"]}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 114, "image": "0c721c3c-19a5-4857-89af-7d480d1a8ad6_png.rf.d4d68898257830e57382ff91e2ca4912.jpg", "expected": "8", "predicted": "7", "correct": false, "input_tokens": 1154, "output_tokens": 5, "elapsed_seconds": 51.266050125006586, "metadata": {"question": "A patient must take medication every day of the week, with all seven days filled. How many of the 28 trays are prepared exactly according to this schedule? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 51.3434}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 115, "image": "fd7145ce-ff54-42eb-b555-006479012309_png.rf.b64dc2701743bae035f831b7e381d8a1.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1162, "output_tokens": 5, "elapsed_seconds": 3.378771833027713, "metadata": {"question": "Based on the handwritten entries in the rent table, how many of the listed periods have a base monthly rent of exactly $2500.00? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.4045}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 116, "image": "62bb473c-8343-402f-a809-8a36d42884ff_png.rf.979d16777be23bdc0037837ff45a8b29.jpg", "expected": "14", "predicted": "16", "correct": false, "input_tokens": 1196, "output_tokens": 6, "elapsed_seconds": 43.456558375037275, "metadata": {"question": "If a fully stocked column in this tray contains exactly 7 ice creams, how many additional ice creams are needed to fully stock all 7 columns (numbered 31 through 37)? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 43.5106}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 117, "image": "94bfcdd8-0a2b-4903-95da-34fea7e1899c_png.rf.73c78580b0e05542ed686abf5b77f46d.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1151, "output_tokens": 5, "elapsed_seconds": 51.522059000097215, "metadata": {"question": "Based on the printed date of birth and date of expiry, will the cardholder have already turned 40 years old by the time this card expires? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 51.6158}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 118, "image": "b8891395-36f3-42e5-a1d2-616a922e0771_png.rf.b7e3860f9d0d9ab3e7f7fd0a6742a738.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1165, "output_tokens": 5, "elapsed_seconds": 86.94505304191262, "metadata": {"question": "Before the pharmacist can sweep the loose capsules on the tray surface into the transparent channel at the top, must the clear cover first be lifted open? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 87.058}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 119, "image": "7315cbf8-64fb-436e-8446-d2f061545df7_png.rf.6f038540710afe5f888b22200ca39932.jpg", "expected": "1", "predicted": "0", "correct": false, "input_tokens": 1138, "output_tokens": 5, "elapsed_seconds": 28.070283499895595, "metadata": {"question": "What is the minimum number of additional dominoes needed so that all five visible tiles can be used in one valid matching chain? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 28.1415}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 120, "image": "7315cbf8-64fb-436e-8446-d2f061545df7_png.rf.6f038540710afe5f888b22200ca39932.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1146, "output_tokens": 5, "elapsed_seconds": 38.87762499996461, "metadata": {"question": "If no new dominoes may be added, what is the minimum number of visible tiles that must be left out to arrange all the others as one valid matching chain? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 38.952}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 121, "image": "7315cbf8-64fb-436e-8446-d2f061545df7_png.rf.6f038540710afe5f888b22200ca39932.jpg", "expected": "8", "predicted": "8", "correct": true, "input_tokens": 1138, "output_tokens": 5, "elapsed_seconds": 23.877339584054425, "metadata": {"question": "What is the total number of dots (pips) across all the dominoes that have at least one completely blank half? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 23.9494}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 122, "image": "841a0a03-fb48-4b1b-8e75-8abef424a913_png.rf.f11c6efbf5e3b71b7477a83694d80fce.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1154, "output_tokens": 5, "elapsed_seconds": 50.70417370798532, "metadata": {"question": "If the container is carrying 28,000 kg of cargo, can an additional 900 kg shipment be loaded without exceeding the stated payload limit? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 50.8015}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 123, "image": "ddb36742-789d-4a6f-a256-5998c9acd5cd_png.rf.f0ede67f0e9f049e1f036fb52b97641d.jpg", "expected": "4.40", "predicted": "4.40", "correct": true, "input_tokens": 1127, "output_tokens": 8, "elapsed_seconds": 17.06389775010757, "metadata": {"question": "Based on the regular prices listed on the receipt, how much total money was saved on the discounted items compared to their regular prices? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 17.1047}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 124, "image": "3cd889b7-4626-47fe-af90-b98b2d5ffdfc_png.rf.7515e2b89f3d7561f907f84154e00de5.jpg", "expected": "3921.09", "predicted": "3921.09", "correct": true, "input_tokens": 1195, "output_tokens": 11, "elapsed_seconds": 12.33207024994772, "metadata": {"question": "Among the seven individual items listed in the table on this page, what is the sum of the amounts for the items that expire in the year 2028? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 12.4017}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 125, "image": "3cd889b7-4626-47fe-af90-b98b2d5ffdfc_png.rf.7515e2b89f3d7561f907f84154e00de5.jpg", "expected": "15", "predicted": "15", "correct": true, "input_tokens": 1188, "output_tokens": 6, "elapsed_seconds": 19.286161083960906, "metadata": {"question": "Among the seven individual items listed in the table on this page, what is the total quantity of items that have a discount of 6.00%? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 19.3581}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 126, "image": "f035f306-754e-4ab9-bd14-80de6cb9353f_png.rf.463bdd12d569cb3ed06ddefa4f7c0544.jpg", "expected": "1", "predicted": "2", "correct": false, "input_tokens": 1141, "output_tokens": 5, "elapsed_seconds": 9.323007790953852, "metadata": {"question": "If you group all the visible beans into sets of three, how many beans will remain ungrouped? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 9.4118}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 127, "image": "32beea2c-22a7-4032-9914-2b8af79a6ca6_png.rf.afa9d4a51e3264b766523b0b6c43118f.jpg", "expected": "yes", "predicted": "yes", "correct": true, "input_tokens": 1164, "output_tokens": 5, "elapsed_seconds": 27.10401683393866, "metadata": {"question": "Does the circled total score in red at the bottom-left corner equal the sum of all individual question scores marked in red on this page? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 27.1424}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 128, "image": "1b4e5426-d109-4398-8e45-ab1dc497980f_png.rf.da896199922990bcefe9fec6ce57cec6.jpg", "expected": "11", "predicted": "11", "correct": true, "input_tokens": 1190, "output_tokens": 6, "elapsed_seconds": 9.262701624887995, "metadata": {"question": "If each correct red-circled response earns one point and the blue worked example is excluded, what is the student's score out of 12? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.2986}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 129, "image": "864cf752-35ed-44ca-9e73-a27ba19cecb3_png.rf.d9a6b6882d7d84ae1066efdb3590df46.jpg", "expected": "12", "predicted": "12", "correct": true, "input_tokens": 1182, "output_tokens": 6, "elapsed_seconds": 12.96753733290825, "metadata": {"question": "If the player currently holding the ball successfully shoots and scores from her current position, what will Washington's total score become? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 13.0228}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 130, "image": "bffbaa49-7832-430e-995d-4db0336f7444_png.rf.705666d967baf405ca5b8c91e2e291d1.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1167, "output_tokens": 5, "elapsed_seconds": 44.180219708010554, "metadata": {"question": "If three nuts are allocated to one mounting job, can five complete mounting jobs be supplied from the visible nuts? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 44.256}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 131, "image": "3cc9dff1-0e00-4900-9013-00d7b1be6a09_png.rf.4fb05de3247bdec3e1119e997d8f465b.jpg", "expected": "4", "predicted": "2", "correct": false, "input_tokens": 1206, "output_tokens": 5, "elapsed_seconds": 3.40702045802027, "metadata": {"question": "Based on the runners' current positions relative to the finish line on the right, which lane contains the runner currently in second place? Answer with a single integer, counting lanes from top (Lane 1) to bottom (Lane 8).", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 3.4248}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 132, "image": "4963b4c1-9126-48bc-ac30-e28cf692d079_png.rf.b0fe0fbf8e74b310187bebdb4e04529c.jpg", "expected": "right side", "predicted": "right side", "correct": true, "input_tokens": 1190, "output_tokens": 6, "elapsed_seconds": 62.034890291048214, "metadata": {"question": "Based on the visible wheel and headlight positions, which front side of the vehicle has the scuffed fender from the driver's forward-facing perspective? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 62.1731}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 133, "image": "6b1464af-2a20-4dc1-9b69-67b163aad58b_png.rf.5558871ebbc74585da7539ae1c82803b.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1158, "output_tokens": 5, "elapsed_seconds": 89.08844566706102, "metadata": {"question": "Identify the column in the seedling tray that contains the longest continuous vertical sequence of empty plugs (containing only soil with no sprouted seedlings). How many empty plugs are in this longest sequence? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 89.2063}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 134, "image": "6b1464af-2a20-4dc1-9b69-67b163aad58b_png.rf.5558871ebbc74585da7539ae1c82803b.jpg", "expected": "top half", "predicted": "top half", "correct": true, "input_tokens": 1163, "output_tokens": 6, "elapsed_seconds": 22.726015000022016, "metadata": {"question": "If the seedling tray is divided horizontally into a top half (rows 1 to 6) and a bottom half (rows 7 to 12), which half contains more empty plugs? Choose one: top half or bottom half.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 22.8429}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 135, "image": "dea1a5c6-1f2e-4b07-946a-898cd8732f5f_png.rf.2317c0f63fa82df7683229a1fb7f5cd0.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1135, "output_tokens": 5, "elapsed_seconds": 8.579040625016205, "metadata": {"question": "How many shelves in the vending machine are stocked exclusively with water bottles? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.6957}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 136, "image": "93bf4bd9-63d1-4a73-97c8-e0e904fd029c_png.rf.c1d6a7530844ca542169fdee4d809e3e.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1145, "output_tokens": 5, "elapsed_seconds": 7.716984125087038, "metadata": {"question": "If the pressure rises by 1 bar from the gauge's current reading, would the needle enter the red warning band? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.821}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 137, "image": "47352e6f-33b7-4c16-a520-03c8afe4c357_png.rf.4232d80b4b83ee4ee01af34332beae25.jpg", "expected": "on top", "predicted": "on top", "correct": true, "input_tokens": 1176, "output_tokens": 6, "elapsed_seconds": 36.66011733398773, "metadata": {"question": "Between the two crossed straight pins with black heads, does the pin with its black head at the bottom-right lie on top of or underneath the other pin? Choose one: on top or underneath.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 36.7761}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 138, "image": "40a321ee-89d8-4846-a3cf-b01413e971a3_png.rf.fbb996228d647f5d917d28665d8698db.jpg", "expected": "lower right", "predicted": "lower right", "correct": true, "input_tokens": 1168, "output_tokens": 6, "elapsed_seconds": 24.20768987503834, "metadata": {"question": "Based on the long shadows cast by the cattle, from which direction in the image is the sunlight coming? Choose one: upper left, upper right, lower left, or lower right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 24.2619}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 139, "image": "9c949507-b9b3-4a20-b76b-24512aedea5e_png.rf.450473e96e9282304c85265164cf0d78.jpg", "expected": "increase", "predicted": "increase", "correct": true, "input_tokens": 1145, "output_tokens": 5, "elapsed_seconds": 25.40698741597589, "metadata": {"question": "To move the indicated pressure into the green operating band using the smallest change, should the pressure be increased or decreased? Choose one: increase or decrease.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 25.5326}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 140, "image": "e3685148-49ec-4ad2-9f50-8d9133ce35cd_png.rf.b2bbd5b99df26d40ae43a5cd2cf549c7.jpg", "expected": "no", "predicted": "Yes", "correct": false, "input_tokens": 1155, "output_tokens": 5, "elapsed_seconds": 14.190637500025332, "metadata": {"question": "If a customer has a budget of 30.00 \u20ac, do they have enough money to buy one box of Berocca Boost and one box of Berocca Energie? Answer yes or no.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 14.3082}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 141, "image": "d7a763ce-28eb-4366-9169-d68f30a452b5_png.rf.b74d57acbfc696374bd43af86dc6931d.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1159, "output_tokens": 5, "elapsed_seconds": 17.548087875009514, "metadata": {"question": "Can a person travel from the Chambre to the Cuisine without entering the Salon? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 17.6381}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 142, "image": "d7a763ce-28eb-4366-9169-d68f30a452b5_png.rf.b74d57acbfc696374bd43af86dc6931d.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1169, "output_tokens": 5, "elapsed_seconds": 32.07234008295927, "metadata": {"question": "Starting from outside the apartment, what is the minimum number of doors a person must pass through to enter the SDB? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 32.1588}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 143, "image": "c46b41e5-447a-47dd-8780-7877ae92faef_png.rf.baa63153d8d89462d240f65b8eda302b.jpg", "expected": "correct lane", "predicted": "oncoming lane", "correct": false, "input_tokens": 1182, "output_tokens": 7, "elapsed_seconds": 69.83837174996734, "metadata": {"question": "Based on standard United States road marking rules, is this vehicle driving in the correct lane or the oncoming lane? Choose one: correct lane or oncoming lane.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 69.8975}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 144, "image": "ac750e7d-de93-4813-828d-409d16bd176b_png.rf.6559b085ab129da83454776a9ff2f3c3.jpg", "expected": "20", "predicted": "20", "correct": true, "input_tokens": 1155, "output_tokens": 6, "elapsed_seconds": 10.54799412493594, "metadata": {"question": "Based on the handwritten corrections, what is the difference between the original printed total number of events and the revised number of events? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.5715}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 145, "image": "76b25762-3b57-4158-9fab-945416165ada_png.rf.9990ab2a22469b04a599b81d43f7c09d.jpg", "expected": "118.00", "predicted": "118.00", "correct": true, "input_tokens": 1151, "output_tokens": 10, "elapsed_seconds": 20.792166125029325, "metadata": {"question": "If the ribeye and the Afri Hot Chilli sauce are paid for separately, how much remains for the rest of the bill? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 20.9181}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 146, "image": "d0b99ce8-8a3b-4d1d-98d4-b34137b19f08_png.rf.135586d63ba8944adf934e8d0cd9cc00.jpg", "expected": "1648", "predicted": "1648", "correct": true, "input_tokens": 1164, "output_tokens": 8, "elapsed_seconds": 9.138157250010408, "metadata": {"question": "What is the earliest year printed on any of the stamps in this sheet? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.2362}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 147, "image": "c91f10e7-1c18-434d-b9e6-2e570646da9d_png.rf.20b9e5afdcfab594a06be3928964180f.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1180, "output_tokens": 5, "elapsed_seconds": 14.884857540950179, "metadata": {"question": "If a driver without disability parking authorization wanted to use the space occupied by the dark sedan, would parking there be permitted? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 14.9402}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 148, "image": "8e2f7010-f314-4b13-badc-9a24ecdd1a45_png.rf.6aef955cc77c9959113ec1f1db73b0c3.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1151, "output_tokens": 5, "elapsed_seconds": 32.34448795800563, "metadata": {"question": "From the perspective of the truck driver seated in the cab and looking forward through the windshield, on which side is the large pyramid of blue drums? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 32.4108}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 149, "image": "76d985c4-8ba2-4660-871b-939bba136896_png.rf.42cd356e987e94c1579c6ffb589f753c.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1172, "output_tokens": 5, "elapsed_seconds": 29.07551054097712, "metadata": {"question": "If a qualifying shot must land in the 9-ring or closer to the center, has the target recorded at least five qualifying shots? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 29.1709}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 150, "image": "76d985c4-8ba2-4660-871b-939bba136896_png.rf.42cd356e987e94c1579c6ffb589f753c.jpg", "expected": "60", "predicted": "60", "correct": true, "input_tokens": 1163, "output_tokens": 6, "elapsed_seconds": 15.938950791954994, "metadata": {"question": "What is the total score of all shots that landed within the black region of the target? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 16.0339}} diff --git a/results/reasoning_gemini-4-argon-eap_low_20261012_224152.jsonl b/results/reasoning_gemini-4-argon-eap_low_20261012_224152.jsonl deleted file mode 100644 index 3791e7f..0000000 --- a/results/reasoning_gemini-4-argon-eap_low_20261012_224152.jsonl +++ /dev/null @@ -1,151 +0,0 @@ -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 0, "image": "85202175-9c3b-4a40-b0a9-3c0d33e250b6_png.rf.9afa602969ee1e53f32d2cd370c4c96b.jpg", "expected": "1", "predicted": "2", "correct": false, "input_tokens": 1157, "output_tokens": 5, "elapsed_seconds": 5.128955874941312, "metadata": {"question": "If a worker wants to rearrange the five numbered pipes so that their labels are in strictly ascending order from top to bottom, what is the minimum number of pipes that must be moved? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 5.1851}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 1, "image": "4f216ea0-af67-40e1-a226-2884e051db56_png.rf.09105ef6b5dab81d9f1a17fd1c6b2c34.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1147, "output_tokens": 5, "elapsed_seconds": 4.426015250035562, "metadata": {"question": "How many days after the date written on the top right of the letter is the patient's kidney transplant scheduled to take place? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.4854}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 2, "image": "d0980bab-2f15-4550-b3e6-813a2ad7e709_png.rf.46eb3c9c65328046e37275727bbeba8f.jpg", "expected": "1/2", "predicted": "1/2", "correct": true, "input_tokens": 1185, "output_tokens": 7, "elapsed_seconds": 5.119404542027041, "metadata": {"question": "Given that the selected number satisfies condition (iii), what is the probability that it also satisfies condition (iv)? Choose one: 0, 1/4, 1/2, or 1.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.1882}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 3, "image": "85133aaa-d105-42fc-9fb7-95b84cbcead1_png.rf.dd175df27fe32c388e49c027b817bd77.jpg", "expected": "opposite directions", "predicted": "opposite directions", "correct": true, "input_tokens": 1197, "output_tokens": 6, "elapsed_seconds": 5.085313834017143, "metadata": {"question": "In the paved courtyard, a white car and a dark grey sedan are parked side-by-side in the middle. Are these two vehicles parked facing the same direction or opposite directions? Choose one: same direction or opposite directions.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.181}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 4, "image": "cf479a9e-f37a-4a83-ba88-9c8813100830_png.rf.39718b9777bb616b7fab6dd75e98da87.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1163, "output_tokens": 5, "elapsed_seconds": 3.853640375076793, "metadata": {"question": "From the perspective of the customer standing at the checkout facing the screen, on which side of the scanner is the bagging platform with the plastic bags located? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.9094}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 5, "image": "afb31dc3-8a6d-445f-ac38-f772de2bccd4_png.rf.592a5fece3103b7455dd062f81f25633.jpg", "expected": "upper-left", "predicted": "upper-left", "correct": true, "input_tokens": 1173, "output_tokens": 7, "elapsed_seconds": 4.206152917002328, "metadata": {"question": "Judging by the direction the building shadows point across the block, toward which corner of the image does the sunlight appear to be shining from (i.e., shadows point away from that corner)? Choose one: upper-left, upper-right, lower-left, or lower-right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.2846}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 6, "image": "52dc8fa9-e959-409e-baeb-84dd14382804_png.rf.48fb415d0a2851464da46f9e94f3598b.jpg", "expected": "Flurotec-coated bromobutyl serum stoppers", "predicted": "Flurotec-coated bromobutyl serum stoppers", "correct": true, "input_tokens": 1179, "output_tokens": 14, "elapsed_seconds": 9.084215917042457, "metadata": {"question": "Which packaging material was dispensed furthest above its required quantity? Choose one: amber glass vial, Flurotec-coated bromobutyl serum stoppers, or purple flip-off seal.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.1718}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 7, "image": "badd5270-702b-4161-804a-3875ebeaab25_png.rf.87a2d89de755bd8e677f27f6c325b675.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1182, "output_tokens": 5, "elapsed_seconds": 3.327549875015393, "metadata": {"question": "In the visible table, what is the difference between the number of rows with Real Customer Group '1278' and those with '1001'? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.348}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 8, "image": "badd5270-702b-4161-804a-3875ebeaab25_png.rf.87a2d89de755bd8e677f27f6c325b675.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1170, "output_tokens": 5, "elapsed_seconds": 5.951873415964656, "metadata": {"question": "Excluding the row where the Party is 'NONE', how many unique Party values are listed in the table? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.9727}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 9, "image": "76bbc10c-bed4-41d3-8622-035eeabc5596_png.rf.b20dacd6d7f36277f12a5de62bcc77d5.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1143, "output_tokens": 5, "elapsed_seconds": 10.676498625078239, "metadata": {"question": "How many total boxes of trial lenses are missing from the column labeled 110 in the bottom section? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.7895}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 10, "image": "76bbc10c-bed4-41d3-8622-035eeabc5596_png.rf.b20dacd6d7f36277f12a5de62bcc77d5.jpg", "expected": "+1.00", "predicted": "+1.00", "correct": true, "input_tokens": 1160, "output_tokens": 9, "elapsed_seconds": 15.246252666926011, "metadata": {"question": "In the bottom section, which SPH power row is completely empty across all five columns? Choose one: +3.00, +2.00, +1.00, or -6.00.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 15.3617}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 11, "image": "f76b953e-a7af-4f0b-b25d-8464103c4b2d_png.rf.2323d361c5c1df73ba3feca61d206a76.jpg", "expected": "278", "predicted": "278", "correct": true, "input_tokens": 1145, "output_tokens": 7, "elapsed_seconds": 4.086039791000076, "metadata": {"question": "According to the nutritional information, how many total calories (Kcal) are contained in a portion of this snack that contains exactly 18 grams of fat? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.1199}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 12, "image": "f76b953e-a7af-4f0b-b25d-8464103c4b2d_png.rf.2323d361c5c1df73ba3feca61d206a76.jpg", "expected": "58.3%", "predicted": "58.3%", "correct": true, "input_tokens": 1148, "output_tokens": 9, "elapsed_seconds": 4.654888957971707, "metadata": {"question": "Based on the nutritional information per 100g, what percentage of the total energy comes from fat, using 9 kcal per gram of fat? Answer with a percentage rounded to one decimal place.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.6884}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 13, "image": "bb5d817a-0216-4404-a737-dc3a118edda4_png.rf.de0c951943b6ce799e856483fae63599.jpg", "expected": "2.742", "predicted": "2.742", "correct": true, "input_tokens": 1169, "output_tokens": 9, "elapsed_seconds": 3.441027084016241, "metadata": {"question": "Based on the technical drawing, what is the horizontal distance between the leftmost center of the left slot and the vertical centerline of the top hole? Answer with a number rounded to three decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.4566}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 14, "image": "f1f21256-337e-4348-ab9a-13351b9666bc_png.rf.f7241e285cd093e86b7c7fa3968fcf5d.jpg", "expected": "11", "predicted": "11", "correct": true, "input_tokens": 1168, "output_tokens": 6, "elapsed_seconds": 4.198318375041708, "metadata": {"question": "How many days elapse between the date the delivery note was issued and the scheduled delivery date? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.2063}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 15, "image": "dc13d7fa-f450-4040-a92b-a7d4f065e31d_png.rf.72799758463340501608cda7b66e2b78.jpg", "expected": "6", "predicted": "23", "correct": false, "input_tokens": 1159, "output_tokens": 6, "elapsed_seconds": 3.4792377079138532, "metadata": {"question": "What is the total number of containers associated with all samples designated as composite ('C') under the collection type? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 3.5191}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 16, "image": "dc13d7fa-f450-4040-a92b-a7d4f065e31d_png.rf.72799758463340501608cda7b66e2b78.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1161, "output_tokens": 5, "elapsed_seconds": 3.6748681670287624, "metadata": {"question": "Does preservation code N apply to more total containers than preservation code S when every checked row is weighted by its listed container count? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.7149}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 17, "image": "8e5b7a3a-7b69-4663-8f76-5b772006e748_png.rf.f9a5eaa49d2d77a19776b2b8db176942.jpg", "expected": "11.9 cm", "predicted": "11.9 cm", "correct": true, "input_tokens": 1162, "output_tokens": 9, "elapsed_seconds": 3.013945166952908, "metadata": {"question": "Based on the horizontal ruler, what is the length of the blister pack? Choose one: 11.4 cm, 11.9 cm, 12.4 cm, or 12.9 cm.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.026}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 18, "image": "396282bc-0d15-4e53-8803-7e5b69c1bef0_png.rf.7026903692b33b2e719785561327c679.jpg", "expected": "no", "predicted": "no", "correct": true, "input_tokens": 1186, "output_tokens": 5, "elapsed_seconds": 3.4562147080432624, "metadata": {"question": "If the worker wants to assemble another dessert cup matching those on the trays, can it be completed using only the loose ingredients visibly available on the table? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.507}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 19, "image": "ea5e1584-2445-412a-ab88-341719a020fb_png.rf.e18e5930f3b7aaeffe6681b1e4b5928d.jpg", "expected": "4026.72", "predicted": "4026.72", "correct": true, "input_tokens": 1188, "output_tokens": 11, "elapsed_seconds": 3.4085952499881387, "metadata": {"question": "If the \u20ac450 rework discount were removed while all other entries and the 19% VAT rate stayed unchanged, what would the resulting invoice total including VAT be? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.4313}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 20, "image": "8f5959cc-c71e-4f39-926e-f88be3cd618b_png.rf.fd70f6581b5f9ef831b77090bcd8e310.jpg", "expected": "250", "predicted": "250", "correct": true, "input_tokens": 1173, "output_tokens": 7, "elapsed_seconds": 5.024834290961735, "metadata": {"question": "Subtract the total net weight from the total weight gross listed on the delivery note, and express the packaging weight in grams. Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.0353}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 21, "image": "1eae1c65-b395-4666-85f9-bf941b1def2c_png.rf.ee7f186d8bab2cd5b0cfb02161c8302a.jpg", "expected": "4", "predicted": "3", "correct": false, "input_tokens": 1172, "output_tokens": 5, "elapsed_seconds": 5.273688749992289, "metadata": {"question": "How many days elapsed between the date this cleaning record became effective and the date Section E was crossed out and signed? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 5.3379}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 22, "image": "ed48ae7c-8ca6-4fd9-9483-28df8487b82d_png.rf.36fc2484e3acc322295ec134e0068226.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1192, "output_tokens": 5, "elapsed_seconds": 3.2123433750821277, "metadata": {"question": "From the perspective of a driver sitting inside the white sedan and looking forward, on which side of their vehicle's front end did the collision occur? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.2585}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 23, "image": "96a170be-c707-476a-87c6-8f9229dc9735_png.rf.088cef7f2ff77232fe6904a6836a5135.jpg", "expected": "upper row", "predicted": "upper row", "correct": true, "input_tokens": 1183, "output_tokens": 6, "elapsed_seconds": 3.6379193749744445, "metadata": {"question": "For an arriving trailer needing an open marked bay, which row offers more parking options: upper row or lower row? Choose one: upper row or lower row.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.703}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 24, "image": "f7ec4cc8-90a9-4a3f-8603-91de3073b392_png.rf.669686b7efc2f35cae0ce34ba90377ff.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1153, "output_tokens": 5, "elapsed_seconds": 6.3927123749163, "metadata": {"question": "Based on the position of the audio jack plugged into the panel, which side of the boy's head from his own perspective is closer to the plug? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.409}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 25, "image": "b5ef866d-feb2-411f-ac5c-40c395cc3c62_png.rf.66b42d06fd426729cfaf37fe699ef682.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1179, "output_tokens": 5, "elapsed_seconds": 3.725681458017789, "metadata": {"question": "If a person walks in a straight line from the trampoline in the middle yard to the swing set in the left yard, how many property fence lines must they cross? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.8305}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 26, "image": "eeee1640-5005-460c-a3f3-12dfff951fc5_png.rf.f39545ddd7734560dd9a051e2c230c8c.jpg", "expected": "right side", "predicted": "right side", "correct": true, "input_tokens": 1163, "output_tokens": 6, "elapsed_seconds": 4.472983250045218, "metadata": {"question": "Based on the perspective of a driver sitting inside the van and looking forward, on which side of the vehicle is the textured concrete wall located? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.5179}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 27, "image": "8a9b0190-2516-4613-a33c-114cf5eb8993_png.rf.923b9627464a61d6941c095f16b9c069.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1161, "output_tokens": 5, "elapsed_seconds": 3.658581707975827, "metadata": {"question": "If every visible wrapped burger must be served with its own bag of fries, how many additional bags of fries are needed? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.7246}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 28, "image": "2f5026b8-8dc1-4831-94a4-d9f1c102b0fd_png.rf.17d85e9f6c9abd757c801aa0d47f423e.jpg", "expected": "9", "predicted": "9", "correct": true, "input_tokens": 1148, "output_tokens": 5, "elapsed_seconds": 4.044983875006437, "metadata": {"question": "Counting from the start date of Steel Fabrication to the start date of Fit off on this schedule, how many days elapse in total? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.1713}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 29, "image": "f4155be5-83b2-4214-89e0-b21906a781bd_png.rf.f865f92d82e075d8770a8aa212800d2e.jpg", "expected": "48.50", "predicted": "48.50", "correct": true, "input_tokens": 1167, "output_tokens": 9, "elapsed_seconds": 3.7790291669080034, "metadata": {"question": "What is the actual total cost of all liquid beverages (Coke Zero, Pot Of Tea, Mochaccino, and Latte) listed on the receipt? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.8405}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 30, "image": "f4155be5-83b2-4214-89e0-b21906a781bd_png.rf.f865f92d82e075d8770a8aa212800d2e.jpg", "expected": "247.50", "predicted": "247.50", "correct": true, "input_tokens": 1158, "output_tokens": 10, "elapsed_seconds": 2.433673582971096, "metadata": {"question": "If the group had ordered only one Mochaccino instead of two, what would the new total bill be? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.4977}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 31, "image": "c9b00dcb-e093-43d9-baf8-f1971ff328af_png.rf.41492638acc0aba933dc61f9c675d2c7.jpg", "expected": "22", "predicted": "22", "correct": true, "input_tokens": 1144, "output_tokens": 6, "elapsed_seconds": 4.347590542049147, "metadata": {"question": "If a patient takes one capsule per day from this pack, how many days of medication are remaining in the pack? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.4001}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 32, "image": "b4ac0ec8-9f7d-4769-ae70-3d0a959ca24b_png.rf.85ff21bb1ee3df65bbc402ec233ed80a.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1189, "output_tokens": 5, "elapsed_seconds": 3.400682583102025, "metadata": {"question": "If the green and blue rings on the right-hand board were swapped, how many ring positions on that board would still differ from the left-hand board? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.4448}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 33, "image": "34d45dd0-c14f-4a0a-9ff1-031d92a49ca1_png.rf.85c2cfa50183c292a49aaa7c9b2f0064.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1191, "output_tokens": 5, "elapsed_seconds": 4.349989332957193, "metadata": {"question": "Based on the orientation of the stopped green SUV, on which side of the vehicle is the fallen motorcyclist lying from the perspective of a driver sitting inside looking forward? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.3994}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 34, "image": "403906f1-d101-4a15-b0b3-43f90df6b13e_png.rf.9db9421ec54b4a1bf4b5d2a3462836c6.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1182, "output_tokens": 5, "elapsed_seconds": 6.609965541982092, "metadata": {"question": "From the perspective of the man standing and walking along the aisle, on which side is the passenger holding reading papers seated? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.7044}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 35, "image": "5a48fe25-9006-45d1-ac0c-fab115eb5d1a_png.rf.3951f54e9e9535809ab4efc645c98048.jpg", "expected": "1", "predicted": "3", "correct": false, "input_tokens": 1153, "output_tokens": 5, "elapsed_seconds": 4.764380041975528, "metadata": {"question": "Based on the stacking limit symbol printed on the boxes, what is the maximum number of additional identical boxes that can be safely stacked on top of the foreground box? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 4.8843}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 36, "image": "6711dc5a-8b63-441e-8fea-910b9298bde9_png.rf.7ed399c3d00da2923147fe6901bc90e0.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1160, "output_tokens": 5, "elapsed_seconds": 3.810476207989268, "metadata": {"question": "A worker wants to fill the crate's empty floor space with more punnets of the same size, laid flat in a single layer alongside the existing ones. How many additional punnets fit? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.8857}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 37, "image": "04a7e555-066a-4662-be7d-1fab1d0a89bb_png.rf.1c99b9faeb404517267846787ed66438.jpg", "expected": "decreased", "predicted": "decreased", "correct": true, "input_tokens": 1141, "output_tokens": 5, "elapsed_seconds": 4.4506592500256374, "metadata": {"question": "To move the shown pressure into the green band, should the system pressure be increased or decreased? Choose one: increased or decreased.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.5263}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 38, "image": "1710a83d-1506-464e-83bf-f015141f1c37_png.rf.bca4b5702f3d41d061d317ac2e0ea038.jpg", "expected": "10", "predicted": "10", "correct": true, "input_tokens": 1183, "output_tokens": 6, "elapsed_seconds": 2.733137207920663, "metadata": {"question": "If a patient can only attend appointments at or after 11:00 AM, how many of the displayed time slots across the entire week are available to them? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7484}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 39, "image": "1f2fe1d2-a6a6-4e60-a8e9-5a44e686ea1f_png.rf.e04f0049aa2caa0571f54b741224339f.jpg", "expected": "0", "predicted": "0", "correct": true, "input_tokens": 1167, "output_tokens": 5, "elapsed_seconds": 2.8720633750781417, "metadata": {"question": "How many of the cans on the table are lying on their side rather than standing upright? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9402}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 40, "image": "986ae5b8-bac5-432c-9ab1-afa7c98c2ef6_png.rf.004ba60e063ba1ac27b397a96d9539ee.jpg", "expected": "ASML Hld", "predicted": "ASML Hld", "correct": true, "input_tokens": 1188, "output_tokens": 8, "elapsed_seconds": 2.9716940840007737, "metadata": {"question": "Which of the following stocks listed under the letter 'A' has a 'Last' price that exceeds its listed 52-week High? Choose one: ASML Hld, ASV Inc s, ATI Tech, or ATMI Inc.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9945}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 41, "image": "0de03edc-15c5-4782-a74b-7cedb1df477b_png.rf.25fbbbda8291953bf4362acd5ea98104.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1187, "output_tokens": 5, "elapsed_seconds": 2.3354346670676023, "metadata": {"question": "Based on the sequential numbering of the exercises, how many numbered problems between (1) and (14) are missing from this worksheet? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.3504}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 42, "image": "107aeb67-63af-49d6-874c-d2505fa3fa43_png.rf.dd08291695888d5c30c0c4d82e0d1f5c.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1148, "output_tokens": 5, "elapsed_seconds": 4.324419458047487, "metadata": {"question": "To open the left door of the container, what is the minimum number of vertical locking bars that must be disengaged across the entire container? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.4235}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 43, "image": "3798710d-6abc-41a9-a6fa-69b36af142fd_png.rf.7513f727ea31e7a4d75594a64c1cd041.jpg", "expected": "168", "predicted": "168", "correct": true, "input_tokens": 1191, "output_tokens": 7, "elapsed_seconds": 5.021928999922238, "metadata": {"question": "According to the red digital display on the right, the current time is shown on the bottom line. If the train is scheduled to reach its destination at 09:35, how many minutes of travel time remain? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.1025}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 44, "image": "dce06136-2d24-422b-a3b6-e100c9a4bad1_png.rf.ac128576e826b2eca821e98b5f31f992.jpg", "expected": "Bihar", "predicted": "Bihar", "correct": true, "input_tokens": 1186, "output_tokens": 5, "elapsed_seconds": 3.9267229170072824, "metadata": {"question": "A quality inspector sees a pack whose printed batch number begins with the characters 'AB'. According to the information on this pack, in which Indian state was that pack manufactured? Choose one: Bihar, Haryana, Assam, or Punjab.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.9744}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 45, "image": "de2bbe1d-be94-4d71-97d8-2c316733c49d_png.rf.3e37eee81410925ab9219df63ec1cca0.jpg", "expected": "10", "predicted": "10", "correct": true, "input_tokens": 1167, "output_tokens": 6, "elapsed_seconds": 3.403362291981466, "metadata": {"question": "If a person consumes exactly three packets per day, what is the maximum number of full days this box of packets will last? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.4279}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 46, "image": "09c2792b-3755-4eee-828f-fa0c2567760f_png.rf.c5f2d9113af4bbc2882b49e0ae573966.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1206, "output_tokens": 5, "elapsed_seconds": 2.9199338749749586, "metadata": {"question": "To balance the shelves so that both have an equal number of books, how many books must be moved from the bottom shelf to the top shelf? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9646}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 47, "image": "57ae8fef-d674-43e7-9cf4-e7aeddb9e311_png.rf.88bc8729d68c7e1a097ea61f60d08ffc.jpg", "expected": "400", "predicted": "400", "correct": true, "input_tokens": 1167, "output_tokens": 7, "elapsed_seconds": 6.230279499897733, "metadata": {"question": "What is the total value of all the banknotes shown in the image, in Malaysian Ringgit (RM)? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.3267}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 48, "image": "26584325-f95e-41e4-9f4b-99afc5ff078d_png.rf.9c541fbfbbd37f1e00d8f04f9ac40b45.jpg", "expected": "beetroot", "predicted": "beetroot", "correct": true, "input_tokens": 1151, "output_tokens": 6, "elapsed_seconds": 5.657175916945562, "metadata": {"question": "Based on the details of the planted vegetables, which specific vegetable was planted from a tray instead of 6-packs? Choose one: beetroot, celery, coriander, or marigold.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.7398}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 49, "image": "20b7a85e-989a-4fa8-b275-6a1d92d2118a_png.rf.3bcf6e487a9fb4eb1f3f3848b5465060.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1183, "output_tokens": 5, "elapsed_seconds": 3.825233249925077, "metadata": {"question": "If the white ball-handler shoots without moving his feet, how many points would a made basket be worth under standard basketball rules? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.8841}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 50, "image": "7a31b46f-531b-43e7-895b-4e25e049abb3_png.rf.119ce2ebe0cff7f16bc80422173c188a.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1139, "output_tokens": 5, "elapsed_seconds": 3.0278770000441, "metadata": {"question": "If only the visible rear door were replaced, would all of the visible scrape damage be eliminated? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.098}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 51, "image": "7a31b46f-531b-43e7-895b-4e25e049abb3_png.rf.119ce2ebe0cff7f16bc80422173c188a.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1139, "output_tokens": 5, "elapsed_seconds": 2.754795999964699, "metadata": {"question": "From the perspective of a driver seated inside and facing forward, which side is it? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8268}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 52, "image": "82172a50-05ec-4f75-9b67-02d726a97981_png.rf.b6b418d86b460b5df29a48b3cf9bff9f.jpg", "expected": "yes", "predicted": "No", "correct": false, "input_tokens": 1146, "output_tokens": 5, "elapsed_seconds": 3.781494416994974, "metadata": {"question": "This car is driving toward the viewer's position, and this road follows right-hand traffic rules. Is the car currently keeping to its correct side of the road? Answer yes or no.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 3.8274}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 53, "image": "612c657e-0e9c-4b2b-a741-2d1b1158c172_png.rf.e46b67734667d8de639182c1c6b58968.jpg", "expected": "left hand", "predicted": "left hand", "correct": true, "input_tokens": 1146, "output_tokens": 6, "elapsed_seconds": 2.769971458008513, "metadata": {"question": "Based on the anatomical structure and the grip shown, which of the person's hands is holding the paper? Choose one: left hand or right hand.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8523}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 54, "image": "bc085807-a87c-42c4-85dc-07885733dac6_png.rf.86d16faa2e4e01ea9b2f076098eda3da.jpg", "expected": "2805.47", "predicted": "2805.47", "correct": true, "input_tokens": 1192, "output_tokens": 11, "elapsed_seconds": 2.27628479199484, "metadata": {"question": "If the customer adds two more units of Product XYZ while the unit price and tax rate stay the same, what will the revised invoice total be? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.2851}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 55, "image": "4d261616-1f0b-4f51-8ebe-eaee7b84825e_png.rf.e8a48b995002e60e7809ef941602370f.jpg", "expected": "left side", "predicted": "left side", "correct": true, "input_tokens": 1162, "output_tokens": 6, "elapsed_seconds": 2.398115499992855, "metadata": {"question": "From the perspective of a driver seated inside and facing forward, which side of the car contains the visible damage? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.4107}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 56, "image": "7d7e098f-4a0d-4864-b2ea-d57988d4d061_png.rf.950712e3033a1d927b27752329326738.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1180, "output_tokens": 5, "elapsed_seconds": 4.826035207952373, "metadata": {"question": "From the perspective of a driver inside the blue SUV at the bottom of the image looking forward, on which side of their vehicle is the yellow Mazda? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.9461}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 57, "image": "19f45907-d682-40cf-bb87-9133dc873871_png.rf.8d5ae1def0513a436febceba4ca296a6.jpg", "expected": "left hand", "predicted": "left hand", "correct": true, "input_tokens": 1195, "output_tokens": 6, "elapsed_seconds": 2.564375124988146, "metadata": {"question": "Based on the visible features and orientation of the hand pressing the button, which of the person's hands is being used? Choose one: left hand or right hand.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.5856}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 58, "image": "347cb08d-5018-4506-8ff7-6052b5215bee_png.rf.f2241527449eeba4edc25991a9428857.jpg", "expected": "19190.95", "predicted": "19190.95", "correct": true, "input_tokens": 1199, "output_tokens": 12, "elapsed_seconds": 3.1110415830044076, "metadata": {"question": "If the e-transfer withdrawal to 'budget AUTO glass' on July 15 had not occurred, what would the final balance be after the transaction on July 16? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1382}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 59, "image": "6bdb57de-1206-40d4-a60a-1ac4c22a0468_png.rf.a9d75682ae8f6507d6225b4fa0e1d7f6.jpg", "expected": "right side", "predicted": "right side", "correct": true, "input_tokens": 1177, "output_tokens": 6, "elapsed_seconds": 4.018070916994475, "metadata": {"question": "From the perspective of the driver sitting inside the vehicle looking forward, on which side of the dashboard is the plush toy located? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.0441}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 60, "image": "97a91186-1382-40c6-8e10-ca36e7a94269_png.rf.f9de5fd2b340b608eb21d6e7fc1d9949.jpg", "expected": "parallel", "predicted": "parallel", "correct": true, "input_tokens": 1186, "output_tokens": 5, "elapsed_seconds": 3.0613054999848828, "metadata": {"question": "Consider the log currently held in the grapple above the pile. Is its long axis oriented parallel or perpendicular to the logs stacked in the pile? Choose one: parallel or perpendicular.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.0778}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 61, "image": "68b07f85-3cf2-4e70-af98-06ef0c9d2c58_png.rf.d63e64af870bba743f8c88c43567124d.jpg", "expected": "unloading", "predicted": "loading", "correct": false, "input_tokens": 1168, "output_tokens": 5, "elapsed_seconds": 3.0301911670248955, "metadata": {"question": "Based on the worker's posture and direction of movement, is he loading the stack of red crates into the truck or unloading them from the truck? Choose one: loading or unloading.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 3.0776}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 62, "image": "db85c5c8-8aa2-4f36-93dd-7f73a9c7b9c0_png.rf.d13c340009833ccd6defe35016843595.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1186, "output_tokens": 5, "elapsed_seconds": 4.580971540999599, "metadata": {"question": "From the perspective of a driver sitting inside the car and looking forward, on which side of the vehicle is the 'SPORT' badge located? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.6325}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 63, "image": "2e1a4d87-f03c-4189-9406-7968664edda2_png.rf.7605c122843447cd3cbdda9bfc61fe25.jpg", "expected": "2700.00", "predicted": "2700.00", "correct": true, "input_tokens": 1192, "output_tokens": 11, "elapsed_seconds": 2.902332541067153, "metadata": {"question": "If the same supplier shipped 100 additional cartons of head gear at the same average per-carton weight implied by this invoice, what would the new total gross weight be in kilograms? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9441}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 64, "image": "2e15743f-6bc8-4cce-8ec0-66eea3a6ca2f_png.rf.dff2a916b2154426e2043eda4cd591dd.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1176, "output_tokens": 5, "elapsed_seconds": 2.7806915000546724, "metadata": {"question": "How many vertical columns in the vending machine contain at least one Pepsi can? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8162}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 65, "image": "3f655000-3416-4906-8785-f716a5195996_png.rf.43d1001a93452d12ad70e047d2c6ed7e.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1184, "output_tokens": 5, "elapsed_seconds": 22.308526332955807, "metadata": {"question": "If you want to prepare breakfast plates that each require exactly 2 eggs and half an apple, what is the maximum number of such plates you can complete using only the visible eggs and apples? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 22.4105}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 66, "image": "4b1a9f4a-6b60-4350-b603-55755b49eaa7_png.rf.1a82163a0fad58cd34885043f4c4eb55.jpg", "expected": "15", "predicted": "15", "correct": true, "input_tokens": 1174, "output_tokens": 6, "elapsed_seconds": 3.644059041980654, "metadata": {"question": "At V_DS = 10 V, what is the approximate increase in drain current when V_GS rises from 6 V to 7 V? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.6663}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 67, "image": "0b0da260-9ab1-48b3-a909-03dc21a83345_png.rf.be24612c532b032d65b0228f30386968.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1179, "output_tokens": 5, "elapsed_seconds": 4.545952999964356, "metadata": {"question": "If you need to retrieve the box sealed with blue tape, what is the minimum number of other boxes you must remove first so that it is completely unobstructed from above? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.6392}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 68, "image": "214d5a30-f38a-4509-bd53-1e3ea49f9c8b_png.rf.adb2216acfcf57012a8ae573e973f1ca.jpg", "expected": "11.80", "predicted": "11.80", "correct": true, "input_tokens": 1156, "output_tokens": 9, "elapsed_seconds": 3.1618062499910593, "metadata": {"question": "What is the total amount of GST commission charges (NEFT-GST-COMMISSION) debited on September 15, 2025? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.226}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 69, "image": "a605175c-be9c-4e9b-8f69-540e233aa5e8_png.rf.3f3d5135536b2e36c9325081fe4f36ee.jpg", "expected": "left side", "predicted": "left side", "correct": true, "input_tokens": 1202, "output_tokens": 6, "elapsed_seconds": 3.9288154169917107, "metadata": {"question": "Based on the position of the wheel and the wrapping of the bumper, which side of the vehicle (from the perspective of a driver sitting inside and looking forward) is damaged? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.9511}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 70, "image": "01d2cf72-1e3e-425b-8743-ef01ca46252d_png.rf.3f9dc60e26c06dbdc9181e5b067126a0.jpg", "expected": "46.2%", "predicted": "46.2%", "correct": true, "input_tokens": 1172, "output_tokens": 9, "elapsed_seconds": 4.0322255830978975, "metadata": {"question": "Based on the nutritional information per 100g, what percentage of the total fat is saturated fat? Answer with a percentage rounded to one decimal place.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.0522}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 71, "image": "423751b4-264a-4fed-acd4-7432a257389d_png.rf.aca151f72457b1604c2dc4b92bce1c2e.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1182, "output_tokens": 5, "elapsed_seconds": 2.868736375006847, "metadata": {"question": "Based on the technical drawing, what is the total tolerance range (the difference between the maximum and minimum allowable values) for the dimension associated with balloon 24? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9006}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 72, "image": "86827a6f-9148-40bc-84eb-1f26a69fb426_png.rf.7a36b6597b39ee2cb27e013247477184.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1162, "output_tokens": 5, "elapsed_seconds": 4.6422373339300975, "metadata": {"question": "From the perspective of a driver sitting inside the white truck in the foreground and looking forward, on which side of their vehicle is the black SUV? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.6735}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 73, "image": "dfe78d58-fa15-49ac-8673-04b364aaf8f6_png.rf.343b9ddb4be588f14fa49047c656c256.jpg", "expected": "opposite side", "predicted": "opposite side", "correct": true, "input_tokens": 1197, "output_tokens": 6, "elapsed_seconds": 8.347741000005044, "metadata": {"question": "Based on the direction of the shadows cast on the dock, is the sun located on the same side of the ship as the dock, or on the opposite side of the ship? Choose one: same side, or opposite side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.4029}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 74, "image": "85119d73-c38d-44d4-80b9-f7cfc4848029_png.rf.6faf117b9b48a03e7226813130cb8c31.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1203, "output_tokens": 5, "elapsed_seconds": 4.951529458048753, "metadata": {"question": "Treat each occupied compartment as one movable stack. What is the minimum number of whole stacks that must be moved so that no two adjacent occupied compartments contain the same color? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.9825}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 75, "image": "73825c5f-4954-4824-8572-64ed5602323c_png.rf.fac850718e77f19df27b7bf90d021ba7.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1146, "output_tokens": 5, "elapsed_seconds": 5.513865582994185, "metadata": {"question": "What is the minimum number of doors a person must pass through to travel from Bedroom 2 to Bedroom 4? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.5284}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 76, "image": "ea00a7d2-1d73-45a3-8950-7f911a746913_png.rf.6d8d4591e8c887c3d43e174e43cfd621.jpg", "expected": "24", "predicted": "24", "correct": true, "input_tokens": 1154, "output_tokens": 6, "elapsed_seconds": 3.091789041995071, "metadata": {"question": "Based on the 'Hired From' and 'Hired To' dates listed under Employment Data, for how many full years was the subject employed at SOLAR TRADE? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1081}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 77, "image": "e8894dda-fd01-4e8f-b233-7aa1c6924174_png.rf.f8d49103c494c77bf0b4a1c79b12bd32.jpg", "expected": "145", "predicted": "145", "correct": true, "input_tokens": 1161, "output_tokens": 7, "elapsed_seconds": 8.040597790968604, "metadata": {"question": "What is the difference in grams between the target weight indicated in the product name and the actual net quantity of this muskmelon? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.0872}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 78, "image": "29f47b83-0092-4736-a8e7-b3ef23a92354_png.rf.fb2f7e6c321affb606a4919b6a7433ae.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1178, "output_tokens": 5, "elapsed_seconds": 10.344015165930614, "metadata": {"question": "Based on the handwritten dates at the top of the form, how many days elapse between the date the document was written and its effective date? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.3591}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 79, "image": "5cf55f37-8adb-4adb-9520-148340548028_png.rf.e1605fd47b5ae75ba9c34cdcde09e17c.jpg", "expected": "July 10, 2016", "predicted": "June 10, 2016", "correct": false, "input_tokens": 1204, "output_tokens": 14, "elapsed_seconds": 3.1875128749525174, "metadata": {"question": "According to the payment terms and the invoice date, when is payment due? Choose one: June 10, 2016; July 10, 2016; July 5, 2016; August 10, 2016.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 3.2044}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 80, "image": "dae8c81a-4de4-4ef4-9301-25ca1ba03574_png.rf.d6aaed535d1e3ed00116c2b44301deea.jpg", "expected": "away", "predicted": "toward", "correct": false, "input_tokens": 1196, "output_tokens": 5, "elapsed_seconds": 13.066789249889553, "metadata": {"question": "If a worker grabbed the yellow pallet jack's handle and pulled it straight in the direction the handle currently points, would the jack move generally toward the central packing table or away from it? Choose one: toward or away.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 13.1212}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 81, "image": "9056e25e-2e7e-4746-b766-49e5c6aa52df_png.rf.9e357fa580bcb749370734803ddf5655.jpg", "expected": "left side", "predicted": "left side", "correct": true, "input_tokens": 1181, "output_tokens": 6, "elapsed_seconds": 3.5953578329645097, "metadata": {"question": "Based on the door handle's position relative to the vertical seam and the wheel arch at the bottom, which side of the vehicle is shown (from the perspective of a passenger sitting inside and facing forward)? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.6446}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 82, "image": "47ad34a1-d784-48fd-bf0b-9814791703e3_png.rf.0d90c040409da9a682d9d7db5b14476f.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1162, "output_tokens": 5, "elapsed_seconds": 6.370335291023366, "metadata": {"question": "If the Mercedes moves exactly one lane to its left, would it enter the same lane currently occupied by the smaller black car ahead? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.4453}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 83, "image": "0f7a1b1b-b0f9-4dba-9659-0455701b7a3f_png.rf.28278968509f5982105a211e62ac44b1.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1141, "output_tokens": 5, "elapsed_seconds": 4.149439499946311, "metadata": {"question": "Would improving only the attributes currently rated 4 be sufficient to make every listed attribute receive the highest rating? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.1634}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 84, "image": "0f7a1b1b-b0f9-4dba-9659-0455701b7a3f_png.rf.28278968509f5982105a211e62ac44b1.jpg", "expected": "4.5", "predicted": "4.5", "correct": true, "input_tokens": 1139, "output_tokens": 7, "elapsed_seconds": 2.3343158329371363, "metadata": {"question": "What is the average score of the attributes associated with PO11? Answer with a number rounded to one decimal place.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.3496}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 85, "image": "be797fcf-056b-44b2-a1da-b667c3185959_png.rf.29cfb688a5b86d169cb8732bb04f0f72.jpg", "expected": "22", "predicted": "20", "correct": false, "input_tokens": 1166, "output_tokens": 6, "elapsed_seconds": 45.6886843329994, "metadata": {"question": "If the black tray in the foreground has a total capacity of 10 rows with 5 slots per row, how many more devices are needed to completely fill it? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 45.7452}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 86, "image": "861cb64d-800a-4635-999c-739199f8b473_png.rf.c6b83038f9d574bf6dccf2b1554017ec.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1170, "output_tokens": 5, "elapsed_seconds": 24.141629084013402, "metadata": {"question": "Based on the date of the letter and the details provided in the text, how many days are expected to elapse between the date the check was mailed and the date MDA is expected to receive it? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 24.1584}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 87, "image": "22c3fc7f-6563-4f41-8eac-8c7d425b5633_png.rf.2dd8b94855832744d13e2f1185950566.jpg", "expected": "18", "predicted": "18", "correct": true, "input_tokens": 1173, "output_tokens": 6, "elapsed_seconds": 29.46286166610662, "metadata": {"question": "Based on the manpower details table, what is the total number of normal hours (NOR) worked by all listed employees combined on this day? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 29.4967}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 88, "image": "e47241e5-70ca-420f-9c96-05b3095ff135_png.rf.7a32ff91ffc2f7aad43c713c84c3052b.jpg", "expected": "G003...80", "predicted": "G003...80", "correct": true, "input_tokens": 1227, "output_tokens": 11, "elapsed_seconds": 44.12677974998951, "metadata": {"question": "A designer needs a resistor with a resistance of 2.0 k\u03a9 and a tolerance of \u00b10.05%. Based on the specifications, what is the Global Model of the lightest resistor that meets these requirements? Choose one: G001...80, G002, G003...80, or G005.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 44.1813}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 89, "image": "1c9d39fb-7707-4058-8d39-5ef46b4d46bf_png.rf.3c3842ab73120c2d5d767bf08e3b9b44.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1186, "output_tokens": 5, "elapsed_seconds": 9.870295458007604, "metadata": {"question": "From the perspective of the driver seated inside the white pickup and facing its direction of travel, on which side of the truck is the pedestrian? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.929}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 90, "image": "2d031b53-a61c-4de0-b98e-52b14a4c6fcc_png.rf.1abec44486981464bee69aff5fc4acdd.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1158, "output_tokens": 5, "elapsed_seconds": 8.406397209037095, "metadata": {"question": "Assuming each of the two pizzas on the warming station was originally cut into 6 equal slices, how many slices in total have been sold? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.4364}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 91, "image": "d06e0e70-1bed-4998-bcd4-bc8eccac71d3_png.rf.bd4e209d1eda6cadcb0362c0e61a56a0.jpg", "expected": "253730", "predicted": "253730", "correct": true, "input_tokens": 1183, "output_tokens": 10, "elapsed_seconds": 5.9476530000101775, "metadata": {"question": "Using a rule of Medium priority before Low priority, then earliest Created Date to break a tie, which visible ticket should be handled next? Answer with ticket ID.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.9787}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 92, "image": "d06e0e70-1bed-4998-bcd4-bc8eccac71d3_png.rf.bd4e209d1eda6cadcb0362c0e61a56a0.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1182, "output_tokens": 5, "elapsed_seconds": 8.386065792059526, "metadata": {"question": "What is the time difference in hours between the earliest and latest tickets created on Apr 6, 2026? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.419}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 93, "image": "b3f197fe-81ad-4fc1-bd69-d3b01d48b2b8_png.rf.5abbc57e2abc00bdf8184ff41d45e10c.jpg", "expected": "right hand", "predicted": "right hand", "correct": true, "input_tokens": 1145, "output_tokens": 6, "elapsed_seconds": 21.77001887501683, "metadata": {"question": "Based on the position of the thumb and fingers, which hand is the operator using to hold the scanner? Choose one: left hand or right hand.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 21.8539}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 94, "image": "b3f197fe-81ad-4fc1-bd69-d3b01d48b2b8_png.rf.5abbc57e2abc00bdf8184ff41d45e10c.jpg", "expected": "up", "predicted": "up", "correct": true, "input_tokens": 1163, "output_tokens": 5, "elapsed_seconds": 8.805993415997364, "metadata": {"question": "Keeping the scanner at its current tilt so the beam stays horizontal, in which direction should the worker shift the beam so it crosses a barcode's bars perpendicularly and can decode it? Choose one: up, down, left, or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.8885}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 95, "image": "0d8b9fdc-32fc-4324-9e81-414d7762982a_png.rf.10e3ab24f0cc229fc194f19150a9088a.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1167, "output_tokens": 5, "elapsed_seconds": 2.776663333992474, "metadata": {"question": "Which room number becomes completely isolated from all other rooms if the sliding door SD is closed? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7962}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 96, "image": "0d8b9fdc-32fc-4324-9e81-414d7762982a_png.rf.10e3ab24f0cc229fc194f19150a9088a.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1174, "output_tokens": 5, "elapsed_seconds": 5.952562042046338, "metadata": {"question": "What is the minimum number of doors a person must pass through to travel from BedRoom 2 to BathRoom 5? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.9709}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 97, "image": "56b1bbe0-a003-4ba6-8cb2-08dd2f74a08a_png.rf.48d53e8f7bf6d0dbcf9eb16889b0777a.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1177, "output_tokens": 5, "elapsed_seconds": 11.958926083985716, "metadata": {"question": "Based on the relative timestamps shown in the screenshot of the thread, how many hours after Benji Taylor's post did Paul Macgregor post his response? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.9693}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 98, "image": "c2dd6dca-767e-4fe1-8dfb-ead3a37507db_png.rf.96bbfed9aead2bbd919d3b4c1237287a.jpg", "expected": "1.3%", "predicted": "1.3%", "correct": true, "input_tokens": 1178, "output_tokens": 8, "elapsed_seconds": 19.815149665926583, "metadata": {"question": "Comparing the loading units and offloading units recorded on the note, what percentage of the loaded manganese ore fines was lost in transit? Answer with a percentage rounded to one decimal place.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 19.8588}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 99, "image": "c2dd6dca-767e-4fe1-8dfb-ead3a37507db_png.rf.96bbfed9aead2bbd919d3b4c1237287a.jpg", "expected": "520", "predicted": "520", "correct": true, "input_tokens": 1167, "output_tokens": 7, "elapsed_seconds": 12.154498749994673, "metadata": {"question": "What is the difference between the loading units and the offloading units recorded on this delivery note? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 12.2}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 100, "image": "d8552ab5-9930-4bd4-a00c-0f4adbeb76e4_png.rf.fc1f316aa3e9348a20e81d0e619cfa66.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1183, "output_tokens": 5, "elapsed_seconds": 6.730794792063534, "metadata": {"question": "If this document is folded exactly in half by bringing the top edge down to meet the bottom edge, will the two punched holes on the left margin align to overlap each other? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.745}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 101, "image": "42990fe8-872a-4d4e-a1f9-7926a990b803_png.rf.542a9bb854b1ddec7ea9b3c71f102c32.jpg", "expected": "13", "predicted": "13", "correct": true, "input_tokens": 1140, "output_tokens": 6, "elapsed_seconds": 3.8606088330270723, "metadata": {"question": "What is the difference between the number of recorded heights that are at least 150 centimetres and those that are under 142 centimetres? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.8654}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 102, "image": "bcf2178d-166f-4ae9-a0ef-40c03e873d7b_png.rf.45781833e957384c1cc81ae703e548a8.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1187, "output_tokens": 5, "elapsed_seconds": 5.43326512502972, "metadata": {"question": "Judging from the direction traffic travels on this roadway, which barrier are the two crashed SUVs resting against from the perspective of drivers on this road? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.4795}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 103, "image": "e8acc7bd-43d8-4902-8871-758a81216657_png.rf.3fdb3f122bcab387f522f1113b53a202.jpg", "expected": "yes", "predicted": "yes", "correct": true, "input_tokens": 1193, "output_tokens": 5, "elapsed_seconds": 10.802323666983284, "metadata": {"question": "A goaltender standing in the crease of the visible net faces up-ice toward the oncoming play. Are the majority of the green-jerseyed players currently on his left side? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.8579}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 104, "image": "c9dbd271-e8bd-4a4c-9d90-dcc53a4910f6_png.rf.7b116829f9e80042e6ff64cae0ce75bd.jpg", "expected": "18", "predicted": "18", "correct": true, "input_tokens": 1193, "output_tokens": 6, "elapsed_seconds": 69.89512779098004, "metadata": {"question": "Using standard chess piece values where a pawn is 1 point, a bishop or knight is 3 points, and a rook is 5 points, what is the total point value of the captured white pieces set aside on the right? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 69.9486}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 105, "image": "4409ba1c-5b55-47e4-8fb3-ed245021d0bb_png.rf.274f7c4fb87e3efa82cd64b8840d0de7.jpg", "expected": "75.00", "predicted": "75.00", "correct": true, "input_tokens": 1151, "output_tokens": 9, "elapsed_seconds": 56.67913895798847, "metadata": {"question": "If the customer had decided to keep the Lipsy Bikini Bottoms instead of returning them, what would the total refunded amount be? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 56.7486}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 106, "image": "dc0f068d-8a08-4674-8415-973756621fea_png.rf.e7ad2a97bf4cfd59534ddd786e1bfa09.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1180, "output_tokens": 5, "elapsed_seconds": 4.785383458947763, "metadata": {"question": "What is the difference between the number of times 'C' is marked and the number of times 'D' is marked on this sheet? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.7911}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 107, "image": "fd40be2e-2c23-4d4f-9af8-bee299b30fb0_png.rf.d32862e3f7c08fa121abceaa35a724bf.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1142, "output_tokens": 5, "elapsed_seconds": 69.26440283306874, "metadata": {"question": "How many of the 9 columns in the vending machine contain at least one bottle with a green cap? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 69.3175}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 108, "image": "39e13a5d-7f3d-4cb3-b99e-5a31236bdb32_png.rf.ac7593ea805bf54030232955f3054140.jpg", "expected": "38", "predicted": "38", "correct": true, "input_tokens": 1155, "output_tokens": 6, "elapsed_seconds": 3.57851095800288, "metadata": {"question": "If we want to fill the display cabinet so that every compartment contains exactly one car, how many additional cars must be added? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 3, "retries": 2, "total_seconds": 44.4634, "transient_errors": ["RemoteProtocolError", "RemoteProtocolError"]}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 109, "image": "ed033e2a-4072-4930-98ed-35aa45aee1d9_png.rf.3b133b1ed5ad005654d6d55fde0e6a80.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1178, "output_tokens": 5, "elapsed_seconds": 64.00967841700185, "metadata": {"question": "From the perspective of a driver sitting inside the cab of the dump truck with the green tarp and looking forward, which side door of the cab is open? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 64.0826}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 110, "image": "25e6ed9c-2d37-4533-8021-977770aa97d1_png.rf.5e4c7a4776bb280dedd569d309846abd.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1182, "output_tokens": 5, "elapsed_seconds": 17.347632749937475, "metadata": {"question": "Without adding or removing any cylinders, can the load be rearranged so that all four horizontal rows contain exactly the same number of cylinders? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 17.3992}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 111, "image": "17a88e1e-fb1c-46f0-8620-8f19854b8fff_png.rf.e4fb269a60ea85233a7bdd3d43ef4aa1.jpg", "expected": "right side", "predicted": "right side", "correct": true, "input_tokens": 1195, "output_tokens": 6, "elapsed_seconds": 18.09200249996502, "metadata": {"question": "Based on the relative positions of the wheel and the front fog light, which side of the vehicle (from the perspective of a driver sitting inside and looking forward) is damaged? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 18.1121}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 112, "image": "3a1d4bd3-6db0-4cda-881d-e9ae4c194abb_png.rf.34d91902d10ee43e73241d5a9df8fa98.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1157, "output_tokens": 5, "elapsed_seconds": 41.12325754202902, "metadata": {"question": "From the perspective of an officer sitting in the driver's seat of this SUV and facing forward, on which side of the vehicle is the person in the hooded sweatshirt standing? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 41.231}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 113, "image": "0c721c3c-19a5-4857-89af-7d480d1a8ad6_png.rf.d4d68898257830e57382ff91e2ca4912.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1185, "output_tokens": 5, "elapsed_seconds": 15.868790708947927, "metadata": {"question": "A patient must take medication only on odd-numbered days of the week (days 1, 3, 5, and 7), leaving even-numbered days (days 2, 4, and 6) empty. How many of the 28 trays are prepared exactly according to this schedule? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 15.9455}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 114, "image": "0c721c3c-19a5-4857-89af-7d480d1a8ad6_png.rf.d4d68898257830e57382ff91e2ca4912.jpg", "expected": "8", "predicted": "6", "correct": false, "input_tokens": 1154, "output_tokens": 5, "elapsed_seconds": 55.314421875053085, "metadata": {"question": "A patient must take medication every day of the week, with all seven days filled. How many of the 28 trays are prepared exactly according to this schedule? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 55.3974}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 115, "image": "fd7145ce-ff54-42eb-b555-006479012309_png.rf.b64dc2701743bae035f831b7e381d8a1.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1162, "output_tokens": 5, "elapsed_seconds": 29.4491912079975, "metadata": {"question": "Based on the handwritten entries in the rent table, how many of the listed periods have a base monthly rent of exactly $2500.00? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 29.474}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 116, "image": "62bb473c-8343-402f-a809-8a36d42884ff_png.rf.979d16777be23bdc0037837ff45a8b29.jpg", "expected": "14", "predicted": "14", "correct": true, "input_tokens": 1196, "output_tokens": 6, "elapsed_seconds": 46.39328208297957, "metadata": {"question": "If a fully stocked column in this tray contains exactly 7 ice creams, how many additional ice creams are needed to fully stock all 7 columns (numbered 31 through 37)? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 46.4477}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 117, "image": "94bfcdd8-0a2b-4903-95da-34fea7e1899c_png.rf.73c78580b0e05542ed686abf5b77f46d.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1151, "output_tokens": 5, "elapsed_seconds": 34.853154166950844, "metadata": {"question": "Based on the printed date of birth and date of expiry, will the cardholder have already turned 40 years old by the time this card expires? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 34.9449}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 118, "image": "b8891395-36f3-42e5-a1d2-616a922e0771_png.rf.b7e3860f9d0d9ab3e7f7fd0a6742a738.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1165, "output_tokens": 5, "elapsed_seconds": 29.794071083073504, "metadata": {"question": "Before the pharmacist can sweep the loose capsules on the tray surface into the transparent channel at the top, must the clear cover first be lifted open? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 29.9072}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 119, "image": "7315cbf8-64fb-436e-8446-d2f061545df7_png.rf.6f038540710afe5f888b22200ca39932.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1138, "output_tokens": 5, "elapsed_seconds": 11.235294957994483, "metadata": {"question": "What is the minimum number of additional dominoes needed so that all five visible tiles can be used in one valid matching chain? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.3086}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 120, "image": "7315cbf8-64fb-436e-8446-d2f061545df7_png.rf.6f038540710afe5f888b22200ca39932.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1146, "output_tokens": 5, "elapsed_seconds": 22.604928167071193, "metadata": {"question": "If no new dominoes may be added, what is the minimum number of visible tiles that must be left out to arrange all the others as one valid matching chain? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 22.6824}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 121, "image": "7315cbf8-64fb-436e-8446-d2f061545df7_png.rf.6f038540710afe5f888b22200ca39932.jpg", "expected": "8", "predicted": "8", "correct": true, "input_tokens": 1138, "output_tokens": 5, "elapsed_seconds": 5.0814280840568244, "metadata": {"question": "What is the total number of dots (pips) across all the dominoes that have at least one completely blank half? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.1553}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 122, "image": "841a0a03-fb48-4b1b-8e75-8abef424a913_png.rf.f11c6efbf5e3b71b7477a83694d80fce.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1154, "output_tokens": 5, "elapsed_seconds": 9.49773195805028, "metadata": {"question": "If the container is carrying 28,000 kg of cargo, can an additional 900 kg shipment be loaded without exceeding the stated payload limit? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.5948}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 123, "image": "ddb36742-789d-4a6f-a256-5998c9acd5cd_png.rf.f0ede67f0e9f049e1f036fb52b97641d.jpg", "expected": "4.40", "predicted": "4.40", "correct": true, "input_tokens": 1127, "output_tokens": 8, "elapsed_seconds": 6.228775832918473, "metadata": {"question": "Based on the regular prices listed on the receipt, how much total money was saved on the discounted items compared to their regular prices? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.2694}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 124, "image": "3cd889b7-4626-47fe-af90-b98b2d5ffdfc_png.rf.7515e2b89f3d7561f907f84154e00de5.jpg", "expected": "3921.09", "predicted": "3921.09", "correct": true, "input_tokens": 1195, "output_tokens": 11, "elapsed_seconds": 10.806774166994728, "metadata": {"question": "Among the seven individual items listed in the table on this page, what is the sum of the amounts for the items that expire in the year 2028? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.8763}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 125, "image": "3cd889b7-4626-47fe-af90-b98b2d5ffdfc_png.rf.7515e2b89f3d7561f907f84154e00de5.jpg", "expected": "15", "predicted": "15", "correct": true, "input_tokens": 1188, "output_tokens": 6, "elapsed_seconds": 5.874627000070177, "metadata": {"question": "Among the seven individual items listed in the table on this page, what is the total quantity of items that have a discount of 6.00%? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.9459}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 126, "image": "f035f306-754e-4ab9-bd14-80de6cb9353f_png.rf.463bdd12d569cb3ed06ddefa4f7c0544.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1141, "output_tokens": 5, "elapsed_seconds": 4.427636499982327, "metadata": {"question": "If you group all the visible beans into sets of three, how many beans will remain ungrouped? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.5193}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 127, "image": "32beea2c-22a7-4032-9914-2b8af79a6ca6_png.rf.afa9d4a51e3264b766523b0b6c43118f.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1164, "output_tokens": 5, "elapsed_seconds": 22.593219207949005, "metadata": {"question": "Does the circled total score in red at the bottom-left corner equal the sum of all individual question scores marked in red on this page? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 22.6351}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 128, "image": "1b4e5426-d109-4398-8e45-ab1dc497980f_png.rf.da896199922990bcefe9fec6ce57cec6.jpg", "expected": "11", "predicted": "11", "correct": true, "input_tokens": 1190, "output_tokens": 6, "elapsed_seconds": 16.570704541984014, "metadata": {"question": "If each correct red-circled response earns one point and the blue worked example is excluded, what is the student's score out of 12? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 16.621}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 129, "image": "864cf752-35ed-44ca-9e73-a27ba19cecb3_png.rf.d9a6b6882d7d84ae1066efdb3590df46.jpg", "expected": "12", "predicted": "12", "correct": true, "input_tokens": 1182, "output_tokens": 6, "elapsed_seconds": 8.205742750084028, "metadata": {"question": "If the player currently holding the ball successfully shoots and scores from her current position, what will Washington's total score become? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.2672}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 130, "image": "bffbaa49-7832-430e-995d-4db0336f7444_png.rf.705666d967baf405ca5b8c91e2e291d1.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1167, "output_tokens": 5, "elapsed_seconds": 11.858711874927394, "metadata": {"question": "If three nuts are allocated to one mounting job, can five complete mounting jobs be supplied from the visible nuts? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.9335}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 131, "image": "3cc9dff1-0e00-4900-9013-00d7b1be6a09_png.rf.4fb05de3247bdec3e1119e997d8f465b.jpg", "expected": "4", "predicted": "2", "correct": false, "input_tokens": 1206, "output_tokens": 5, "elapsed_seconds": 4.704236833960749, "metadata": {"question": "Based on the runners' current positions relative to the finish line on the right, which lane contains the runner currently in second place? Answer with a single integer, counting lanes from top (Lane 1) to bottom (Lane 8).", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 4.722}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 132, "image": "4963b4c1-9126-48bc-ac30-e28cf692d079_png.rf.b0fe0fbf8e74b310187bebdb4e04529c.jpg", "expected": "right side", "predicted": "right side", "correct": true, "input_tokens": 1190, "output_tokens": 6, "elapsed_seconds": 38.74749574996531, "metadata": {"question": "Based on the visible wheel and headlight positions, which front side of the vehicle has the scuffed fender from the driver's forward-facing perspective? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 38.8866}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 133, "image": "6b1464af-2a20-4dc1-9b69-67b163aad58b_png.rf.5558871ebbc74585da7539ae1c82803b.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1158, "output_tokens": 5, "elapsed_seconds": 22.628271209076047, "metadata": {"question": "Identify the column in the seedling tray that contains the longest continuous vertical sequence of empty plugs (containing only soil with no sprouted seedlings). How many empty plugs are in this longest sequence? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 22.7459}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 134, "image": "6b1464af-2a20-4dc1-9b69-67b163aad58b_png.rf.5558871ebbc74585da7539ae1c82803b.jpg", "expected": "top half", "predicted": "top half", "correct": true, "input_tokens": 1163, "output_tokens": 6, "elapsed_seconds": 26.827909916988574, "metadata": {"question": "If the seedling tray is divided horizontally into a top half (rows 1 to 6) and a bottom half (rows 7 to 12), which half contains more empty plugs? Choose one: top half or bottom half.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 26.9466}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 135, "image": "dea1a5c6-1f2e-4b07-946a-898cd8732f5f_png.rf.2317c0f63fa82df7683229a1fb7f5cd0.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1135, "output_tokens": 5, "elapsed_seconds": 38.85128179192543, "metadata": {"question": "How many shelves in the vending machine are stocked exclusively with water bottles? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 38.9677}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 136, "image": "93bf4bd9-63d1-4a73-97c8-e0e904fd029c_png.rf.c1d6a7530844ca542169fdee4d809e3e.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1145, "output_tokens": 5, "elapsed_seconds": 42.564212542027235, "metadata": {"question": "If the pressure rises by 1 bar from the gauge's current reading, would the needle enter the red warning band? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 42.6701}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 137, "image": "47352e6f-33b7-4c16-a520-03c8afe4c357_png.rf.4232d80b4b83ee4ee01af34332beae25.jpg", "expected": "on top", "predicted": "on top", "correct": true, "input_tokens": 1176, "output_tokens": 6, "elapsed_seconds": 13.483586583053693, "metadata": {"question": "Between the two crossed straight pins with black heads, does the pin with its black head at the bottom-right lie on top of or underneath the other pin? Choose one: on top or underneath.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 13.6006}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 138, "image": "40a321ee-89d8-4846-a3cf-b01413e971a3_png.rf.fbb996228d647f5d917d28665d8698db.jpg", "expected": "lower right", "predicted": "lower right", "correct": true, "input_tokens": 1168, "output_tokens": 6, "elapsed_seconds": 10.3815846669022, "metadata": {"question": "Based on the long shadows cast by the cattle, from which direction in the image is the sunlight coming? Choose one: upper left, upper right, lower left, or lower right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.4341}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 139, "image": "9c949507-b9b3-4a20-b76b-24512aedea5e_png.rf.450473e96e9282304c85265164cf0d78.jpg", "expected": "increase", "predicted": "increase", "correct": true, "input_tokens": 1145, "output_tokens": 5, "elapsed_seconds": 25.582915875012986, "metadata": {"question": "To move the indicated pressure into the green operating band using the smallest change, should the pressure be increased or decreased? Choose one: increase or decrease.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 25.7065}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 140, "image": "e3685148-49ec-4ad2-9f50-8d9133ce35cd_png.rf.b2bbd5b99df26d40ae43a5cd2cf549c7.jpg", "expected": "no", "predicted": "Yes", "correct": false, "input_tokens": 1155, "output_tokens": 5, "elapsed_seconds": 18.4148738340009, "metadata": {"question": "If a customer has a budget of 30.00 \u20ac, do they have enough money to buy one box of Berocca Boost and one box of Berocca Energie? Answer yes or no.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 18.5329}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 141, "image": "d7a763ce-28eb-4366-9169-d68f30a452b5_png.rf.b74d57acbfc696374bd43af86dc6931d.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1159, "output_tokens": 5, "elapsed_seconds": 5.332109124981798, "metadata": {"question": "Can a person travel from the Chambre to the Cuisine without entering the Salon? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.4197}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 142, "image": "d7a763ce-28eb-4366-9169-d68f30a452b5_png.rf.b74d57acbfc696374bd43af86dc6931d.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1169, "output_tokens": 5, "elapsed_seconds": 4.856722624972463, "metadata": {"question": "Starting from outside the apartment, what is the minimum number of doors a person must pass through to enter the SDB? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.9437}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 143, "image": "c46b41e5-447a-47dd-8780-7877ae92faef_png.rf.baa63153d8d89462d240f65b8eda302b.jpg", "expected": "correct lane", "predicted": "oncoming lane", "correct": false, "input_tokens": 1182, "output_tokens": 7, "elapsed_seconds": 22.875430959044024, "metadata": {"question": "Based on standard United States road marking rules, is this vehicle driving in the correct lane or the oncoming lane? Choose one: correct lane or oncoming lane.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 22.9365}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 144, "image": "ac750e7d-de93-4813-828d-409d16bd176b_png.rf.6559b085ab129da83454776a9ff2f3c3.jpg", "expected": "20", "predicted": "18", "correct": false, "input_tokens": 1155, "output_tokens": 6, "elapsed_seconds": 3.4263026249827817, "metadata": {"question": "Based on the handwritten corrections, what is the difference between the original printed total number of events and the revised number of events? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 3.4457}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 145, "image": "76b25762-3b57-4158-9fab-945416165ada_png.rf.9990ab2a22469b04a599b81d43f7c09d.jpg", "expected": "118.00", "predicted": "118.00", "correct": true, "input_tokens": 1151, "output_tokens": 10, "elapsed_seconds": 34.583085874910466, "metadata": {"question": "If the ribeye and the Afri Hot Chilli sauce are paid for separately, how much remains for the rest of the bill? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 34.7096}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 146, "image": "d0b99ce8-8a3b-4d1d-98d4-b34137b19f08_png.rf.135586d63ba8944adf934e8d0cd9cc00.jpg", "expected": "1648", "predicted": "1648", "correct": true, "input_tokens": 1164, "output_tokens": 8, "elapsed_seconds": 12.899290916044265, "metadata": {"question": "What is the earliest year printed on any of the stamps in this sheet? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 12.9983}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 147, "image": "c91f10e7-1c18-434d-b9e6-2e570646da9d_png.rf.20b9e5afdcfab594a06be3928964180f.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1180, "output_tokens": 5, "elapsed_seconds": 13.364384167012759, "metadata": {"question": "If a driver without disability parking authorization wanted to use the space occupied by the dark sedan, would parking there be permitted? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 13.4194}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 148, "image": "8e2f7010-f314-4b13-badc-9a24ecdd1a45_png.rf.6aef955cc77c9959113ec1f1db73b0c3.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1151, "output_tokens": 5, "elapsed_seconds": 18.570838791085407, "metadata": {"question": "From the perspective of the truck driver seated in the cab and looking forward through the windshield, on which side is the large pyramid of blue drums? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 18.6388}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 149, "image": "76d985c4-8ba2-4660-871b-939bba136896_png.rf.42cd356e987e94c1579c6ffb589f753c.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1172, "output_tokens": 5, "elapsed_seconds": 29.513975084060803, "metadata": {"question": "If a qualifying shot must land in the 9-ring or closer to the center, has the target recorded at least five qualifying shots? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 29.6121}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 150, "image": "76d985c4-8ba2-4660-871b-939bba136896_png.rf.42cd356e987e94c1579c6ffb589f753c.jpg", "expected": "60", "predicted": "60", "correct": true, "input_tokens": 1163, "output_tokens": 6, "elapsed_seconds": 14.359702249988914, "metadata": {"question": "What is the total score of all shots that landed within the black region of the target? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 14.4559}} diff --git a/results/reasoning_gemini-4-argon-eap_low_20261012_224154.jsonl b/results/reasoning_gemini-4-argon-eap_low_20261012_224154.jsonl deleted file mode 100644 index 70da0de..0000000 --- a/results/reasoning_gemini-4-argon-eap_low_20261012_224154.jsonl +++ /dev/null @@ -1,151 +0,0 @@ -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 0, "image": "85202175-9c3b-4a40-b0a9-3c0d33e250b6_png.rf.9afa602969ee1e53f32d2cd370c4c96b.jpg", "expected": "1", "predicted": "2", "correct": false, "input_tokens": 1157, "output_tokens": 5, "elapsed_seconds": 4.741106375004165, "metadata": {"question": "If a worker wants to rearrange the five numbered pipes so that their labels are in strictly ascending order from top to bottom, what is the minimum number of pipes that must be moved? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 4.7985}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 1, "image": "4f216ea0-af67-40e1-a226-2884e051db56_png.rf.09105ef6b5dab81d9f1a17fd1c6b2c34.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1147, "output_tokens": 5, "elapsed_seconds": 3.3064437500433996, "metadata": {"question": "How many days after the date written on the top right of the letter is the patient's kidney transplant scheduled to take place? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.3697}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 2, "image": "d0980bab-2f15-4550-b3e6-813a2ad7e709_png.rf.46eb3c9c65328046e37275727bbeba8f.jpg", "expected": "1/2", "predicted": "1/2", "correct": true, "input_tokens": 1185, "output_tokens": 7, "elapsed_seconds": 3.4015220410656184, "metadata": {"question": "Given that the selected number satisfies condition (iii), what is the probability that it also satisfies condition (iv)? Choose one: 0, 1/4, 1/2, or 1.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.4704}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 3, "image": "85133aaa-d105-42fc-9fb7-95b84cbcead1_png.rf.dd175df27fe32c388e49c027b817bd77.jpg", "expected": "opposite directions", "predicted": "opposite directions", "correct": true, "input_tokens": 1197, "output_tokens": 6, "elapsed_seconds": 6.221456832950935, "metadata": {"question": "In the paved courtyard, a white car and a dark grey sedan are parked side-by-side in the middle. Are these two vehicles parked facing the same direction or opposite directions? Choose one: same direction or opposite directions.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.3172}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 4, "image": "cf479a9e-f37a-4a83-ba88-9c8813100830_png.rf.39718b9777bb616b7fab6dd75e98da87.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1163, "output_tokens": 5, "elapsed_seconds": 4.190167500055395, "metadata": {"question": "From the perspective of the customer standing at the checkout facing the screen, on which side of the scanner is the bagging platform with the plastic bags located? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.2431}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 5, "image": "afb31dc3-8a6d-445f-ac38-f772de2bccd4_png.rf.592a5fece3103b7455dd062f81f25633.jpg", "expected": "upper-left", "predicted": "lower-left", "correct": false, "input_tokens": 1173, "output_tokens": 7, "elapsed_seconds": 5.771641124971211, "metadata": {"question": "Judging by the direction the building shadows point across the block, toward which corner of the image does the sunlight appear to be shining from (i.e., shadows point away from that corner)? Choose one: upper-left, upper-right, lower-left, or lower-right.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 5.8476}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 6, "image": "52dc8fa9-e959-409e-baeb-84dd14382804_png.rf.48fb415d0a2851464da46f9e94f3598b.jpg", "expected": "Flurotec-coated bromobutyl serum stoppers", "predicted": "Flurotec-coated bromobutyl serum stoppers", "correct": true, "input_tokens": 1179, "output_tokens": 14, "elapsed_seconds": 3.7138602499617264, "metadata": {"question": "Which packaging material was dispensed furthest above its required quantity? Choose one: amber glass vial, Flurotec-coated bromobutyl serum stoppers, or purple flip-off seal.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.8011}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 7, "image": "badd5270-702b-4161-804a-3875ebeaab25_png.rf.87a2d89de755bd8e677f27f6c325b675.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1182, "output_tokens": 5, "elapsed_seconds": 4.839980499935336, "metadata": {"question": "In the visible table, what is the difference between the number of rows with Real Customer Group '1278' and those with '1001'? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.8609}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 8, "image": "badd5270-702b-4161-804a-3875ebeaab25_png.rf.87a2d89de755bd8e677f27f6c325b675.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1170, "output_tokens": 5, "elapsed_seconds": 6.705116082914174, "metadata": {"question": "Excluding the row where the Party is 'NONE', how many unique Party values are listed in the table? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.7297}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 9, "image": "76bbc10c-bed4-41d3-8622-035eeabc5596_png.rf.b20dacd6d7f36277f12a5de62bcc77d5.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1143, "output_tokens": 5, "elapsed_seconds": 5.193464957992546, "metadata": {"question": "How many total boxes of trial lenses are missing from the column labeled 110 in the bottom section? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.3049}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 10, "image": "76bbc10c-bed4-41d3-8622-035eeabc5596_png.rf.b20dacd6d7f36277f12a5de62bcc77d5.jpg", "expected": "+1.00", "predicted": "+1.00", "correct": true, "input_tokens": 1160, "output_tokens": 9, "elapsed_seconds": 5.180933334049769, "metadata": {"question": "In the bottom section, which SPH power row is completely empty across all five columns? Choose one: +3.00, +2.00, +1.00, or -6.00.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.303}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 11, "image": "f76b953e-a7af-4f0b-b25d-8464103c4b2d_png.rf.2323d361c5c1df73ba3feca61d206a76.jpg", "expected": "278", "predicted": "278", "correct": true, "input_tokens": 1145, "output_tokens": 7, "elapsed_seconds": 2.8530275829834864, "metadata": {"question": "According to the nutritional information, how many total calories (Kcal) are contained in a portion of this snack that contains exactly 18 grams of fat? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8906}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 12, "image": "f76b953e-a7af-4f0b-b25d-8464103c4b2d_png.rf.2323d361c5c1df73ba3feca61d206a76.jpg", "expected": "58.3%", "predicted": "58.3%", "correct": true, "input_tokens": 1148, "output_tokens": 9, "elapsed_seconds": 5.933277916978113, "metadata": {"question": "Based on the nutritional information per 100g, what percentage of the total energy comes from fat, using 9 kcal per gram of fat? Answer with a percentage rounded to one decimal place.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.9707}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 13, "image": "bb5d817a-0216-4404-a737-dc3a118edda4_png.rf.de0c951943b6ce799e856483fae63599.jpg", "expected": "2.742", "predicted": "2.742", "correct": true, "input_tokens": 1169, "output_tokens": 9, "elapsed_seconds": 4.3138385829515755, "metadata": {"question": "Based on the technical drawing, what is the horizontal distance between the leftmost center of the left slot and the vertical centerline of the top hole? Answer with a number rounded to three decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.3321}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 14, "image": "f1f21256-337e-4348-ab9a-13351b9666bc_png.rf.f7241e285cd093e86b7c7fa3968fcf5d.jpg", "expected": "11", "predicted": "11", "correct": true, "input_tokens": 1168, "output_tokens": 6, "elapsed_seconds": 3.7845694170100614, "metadata": {"question": "How many days elapse between the date the delivery note was issued and the scheduled delivery date? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.7927}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 15, "image": "dc13d7fa-f450-4040-a92b-a7d4f065e31d_png.rf.72799758463340501608cda7b66e2b78.jpg", "expected": "6", "predicted": "23", "correct": false, "input_tokens": 1159, "output_tokens": 6, "elapsed_seconds": 3.730972208897583, "metadata": {"question": "What is the total number of containers associated with all samples designated as composite ('C') under the collection type? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 3.7717}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 16, "image": "dc13d7fa-f450-4040-a92b-a7d4f065e31d_png.rf.72799758463340501608cda7b66e2b78.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1161, "output_tokens": 5, "elapsed_seconds": 3.9038954169955105, "metadata": {"question": "Does preservation code N apply to more total containers than preservation code S when every checked row is weighted by its listed container count? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.9439}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 17, "image": "8e5b7a3a-7b69-4663-8f76-5b772006e748_png.rf.f9a5eaa49d2d77a19776b2b8db176942.jpg", "expected": "11.9 cm", "predicted": "11.9 cm", "correct": true, "input_tokens": 1162, "output_tokens": 9, "elapsed_seconds": 2.798532749991864, "metadata": {"question": "Based on the horizontal ruler, what is the length of the blister pack? Choose one: 11.4 cm, 11.9 cm, 12.4 cm, or 12.9 cm.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.811}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 18, "image": "396282bc-0d15-4e53-8803-7e5b69c1bef0_png.rf.7026903692b33b2e719785561327c679.jpg", "expected": "no", "predicted": "no", "correct": true, "input_tokens": 1186, "output_tokens": 5, "elapsed_seconds": 2.8055741250282153, "metadata": {"question": "If the worker wants to assemble another dessert cup matching those on the trays, can it be completed using only the loose ingredients visibly available on the table? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8512}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 19, "image": "ea5e1584-2445-412a-ab88-341719a020fb_png.rf.e18e5930f3b7aaeffe6681b1e4b5928d.jpg", "expected": "4026.72", "predicted": "4026.72", "correct": true, "input_tokens": 1188, "output_tokens": 11, "elapsed_seconds": 2.3504074580268934, "metadata": {"question": "If the \u20ac450 rework discount were removed while all other entries and the 19% VAT rate stayed unchanged, what would the resulting invoice total including VAT be? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.3697}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 20, "image": "8f5959cc-c71e-4f39-926e-f88be3cd618b_png.rf.fd70f6581b5f9ef831b77090bcd8e310.jpg", "expected": "250", "predicted": "250", "correct": true, "input_tokens": 1173, "output_tokens": 7, "elapsed_seconds": 2.9325918330578133, "metadata": {"question": "Subtract the total net weight from the total weight gross listed on the delivery note, and express the packaging weight in grams. Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9435}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 21, "image": "1eae1c65-b395-4666-85f9-bf941b1def2c_png.rf.ee7f186d8bab2cd5b0cfb02161c8302a.jpg", "expected": "4", "predicted": "3", "correct": false, "input_tokens": 1172, "output_tokens": 5, "elapsed_seconds": 5.4930216249777, "metadata": {"question": "How many days elapsed between the date this cleaning record became effective and the date Section E was crossed out and signed? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 5.5548}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 22, "image": "ed48ae7c-8ca6-4fd9-9483-28df8487b82d_png.rf.36fc2484e3acc322295ec134e0068226.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1192, "output_tokens": 5, "elapsed_seconds": 7.933463666005991, "metadata": {"question": "From the perspective of a driver sitting inside the white sedan and looking forward, on which side of their vehicle's front end did the collision occur? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.9794}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 23, "image": "96a170be-c707-476a-87c6-8f9229dc9735_png.rf.088cef7f2ff77232fe6904a6836a5135.jpg", "expected": "upper row", "predicted": "upper row", "correct": true, "input_tokens": 1183, "output_tokens": 6, "elapsed_seconds": 5.085766416974366, "metadata": {"question": "For an arriving trailer needing an open marked bay, which row offers more parking options: upper row or lower row? Choose one: upper row or lower row.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.1457}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 24, "image": "f7ec4cc8-90a9-4a3f-8603-91de3073b392_png.rf.669686b7efc2f35cae0ce34ba90377ff.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1153, "output_tokens": 5, "elapsed_seconds": 2.8114447499392554, "metadata": {"question": "Based on the position of the audio jack plugged into the panel, which side of the boy's head from his own perspective is closer to the plug? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8235}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 25, "image": "b5ef866d-feb2-411f-ac5c-40c395cc3c62_png.rf.66b42d06fd426729cfaf37fe699ef682.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1179, "output_tokens": 5, "elapsed_seconds": 3.3303565829992294, "metadata": {"question": "If a person walks in a straight line from the trampoline in the middle yard to the swing set in the left yard, how many property fence lines must they cross? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.4383}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 26, "image": "eeee1640-5005-460c-a3f3-12dfff951fc5_png.rf.f39545ddd7734560dd9a051e2c230c8c.jpg", "expected": "right side", "predicted": "right side", "correct": true, "input_tokens": 1163, "output_tokens": 6, "elapsed_seconds": 4.336585707962513, "metadata": {"question": "Based on the perspective of a driver sitting inside the van and looking forward, on which side of the vehicle is the textured concrete wall located? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.3823}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 27, "image": "8a9b0190-2516-4613-a33c-114cf5eb8993_png.rf.923b9627464a61d6941c095f16b9c069.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1161, "output_tokens": 5, "elapsed_seconds": 3.4388214589562267, "metadata": {"question": "If every visible wrapped burger must be served with its own bag of fries, how many additional bags of fries are needed? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.505}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 28, "image": "2f5026b8-8dc1-4831-94a4-d9f1c102b0fd_png.rf.17d85e9f6c9abd757c801aa0d47f423e.jpg", "expected": "9", "predicted": "9", "correct": true, "input_tokens": 1148, "output_tokens": 5, "elapsed_seconds": 9.714212834020145, "metadata": {"question": "Counting from the start date of Steel Fabrication to the start date of Fit off on this schedule, how many days elapse in total? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.8409}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 29, "image": "f4155be5-83b2-4214-89e0-b21906a781bd_png.rf.f865f92d82e075d8770a8aa212800d2e.jpg", "expected": "48.50", "predicted": "48.50", "correct": true, "input_tokens": 1167, "output_tokens": 9, "elapsed_seconds": 3.4766180419828743, "metadata": {"question": "What is the actual total cost of all liquid beverages (Coke Zero, Pot Of Tea, Mochaccino, and Latte) listed on the receipt? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.5358}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 30, "image": "f4155be5-83b2-4214-89e0-b21906a781bd_png.rf.f865f92d82e075d8770a8aa212800d2e.jpg", "expected": "247.50", "predicted": "247.50", "correct": true, "input_tokens": 1158, "output_tokens": 10, "elapsed_seconds": 4.012996125034988, "metadata": {"question": "If the group had ordered only one Mochaccino instead of two, what would the new total bill be? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.074}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 31, "image": "c9b00dcb-e093-43d9-baf8-f1971ff328af_png.rf.41492638acc0aba933dc61f9c675d2c7.jpg", "expected": "22", "predicted": "22", "correct": true, "input_tokens": 1144, "output_tokens": 6, "elapsed_seconds": 2.661350916023366, "metadata": {"question": "If a patient takes one capsule per day from this pack, how many days of medication are remaining in the pack? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7146}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 32, "image": "b4ac0ec8-9f7d-4769-ae70-3d0a959ca24b_png.rf.85ff21bb1ee3df65bbc402ec233ed80a.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1189, "output_tokens": 5, "elapsed_seconds": 2.84502970892936, "metadata": {"question": "If the green and blue rings on the right-hand board were swapped, how many ring positions on that board would still differ from the left-hand board? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8921}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 33, "image": "34d45dd0-c14f-4a0a-9ff1-031d92a49ca1_png.rf.85c2cfa50183c292a49aaa7c9b2f0064.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1191, "output_tokens": 5, "elapsed_seconds": 3.718146999948658, "metadata": {"question": "Based on the orientation of the stopped green SUV, on which side of the vehicle is the fallen motorcyclist lying from the perspective of a driver sitting inside looking forward? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.7679}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 34, "image": "403906f1-d101-4a15-b0b3-43f90df6b13e_png.rf.9db9421ec54b4a1bf4b5d2a3462836c6.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1182, "output_tokens": 5, "elapsed_seconds": 3.4049143749289215, "metadata": {"question": "From the perspective of the man standing and walking along the aisle, on which side is the passenger holding reading papers seated? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.4972}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 35, "image": "5a48fe25-9006-45d1-ac0c-fab115eb5d1a_png.rf.3951f54e9e9535809ab4efc645c98048.jpg", "expected": "1", "predicted": "3", "correct": false, "input_tokens": 1153, "output_tokens": 5, "elapsed_seconds": 7.93864466692321, "metadata": {"question": "Based on the stacking limit symbol printed on the boxes, what is the maximum number of additional identical boxes that can be safely stacked on top of the foreground box? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 8.0585}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 36, "image": "6711dc5a-8b63-441e-8fea-910b9298bde9_png.rf.7ed399c3d00da2923147fe6901bc90e0.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1160, "output_tokens": 5, "elapsed_seconds": 5.102706499979831, "metadata": {"question": "A worker wants to fill the crate's empty floor space with more punnets of the same size, laid flat in a single layer alongside the existing ones. How many additional punnets fit? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.1769}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 37, "image": "04a7e555-066a-4662-be7d-1fab1d0a89bb_png.rf.1c99b9faeb404517267846787ed66438.jpg", "expected": "decreased", "predicted": "decreased", "correct": true, "input_tokens": 1141, "output_tokens": 5, "elapsed_seconds": 3.1455442919395864, "metadata": {"question": "To move the shown pressure into the green band, should the system pressure be increased or decreased? Choose one: increased or decreased.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.2227}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 38, "image": "1710a83d-1506-464e-83bf-f015141f1c37_png.rf.bca4b5702f3d41d061d317ac2e0ea038.jpg", "expected": "10", "predicted": "10", "correct": true, "input_tokens": 1183, "output_tokens": 6, "elapsed_seconds": 2.383583333925344, "metadata": {"question": "If a patient can only attend appointments at or after 11:00 AM, how many of the displayed time slots across the entire week are available to them? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.3977}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 39, "image": "1f2fe1d2-a6a6-4e60-a8e9-5a44e686ea1f_png.rf.e04f0049aa2caa0571f54b741224339f.jpg", "expected": "0", "predicted": "0", "correct": true, "input_tokens": 1167, "output_tokens": 5, "elapsed_seconds": 3.0716930410126224, "metadata": {"question": "How many of the cans on the table are lying on their side rather than standing upright? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1446}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 40, "image": "986ae5b8-bac5-432c-9ab1-afa7c98c2ef6_png.rf.004ba60e063ba1ac27b397a96d9539ee.jpg", "expected": "ASML Hld", "predicted": "ASML Hld", "correct": true, "input_tokens": 1188, "output_tokens": 8, "elapsed_seconds": 2.972408541943878, "metadata": {"question": "Which of the following stocks listed under the letter 'A' has a 'Last' price that exceeds its listed 52-week High? Choose one: ASML Hld, ASV Inc s, ATI Tech, or ATMI Inc.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9952}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 41, "image": "0de03edc-15c5-4782-a74b-7cedb1df477b_png.rf.25fbbbda8291953bf4362acd5ea98104.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1187, "output_tokens": 5, "elapsed_seconds": 2.1205751249799505, "metadata": {"question": "Based on the sequential numbering of the exercises, how many numbered problems between (1) and (14) are missing from this worksheet? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.1353}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 42, "image": "107aeb67-63af-49d6-874c-d2505fa3fa43_png.rf.dd08291695888d5c30c0c4d82e0d1f5c.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1148, "output_tokens": 5, "elapsed_seconds": 4.817262874916196, "metadata": {"question": "To open the left door of the container, what is the minimum number of vertical locking bars that must be disengaged across the entire container? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.9212}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 43, "image": "3798710d-6abc-41a9-a6fa-69b36af142fd_png.rf.7513f727ea31e7a4d75594a64c1cd041.jpg", "expected": "168", "predicted": "168", "correct": true, "input_tokens": 1191, "output_tokens": 7, "elapsed_seconds": 3.8106851669726893, "metadata": {"question": "According to the red digital display on the right, the current time is shown on the bottom line. If the train is scheduled to reach its destination at 09:35, how many minutes of travel time remain? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.8977}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 44, "image": "dce06136-2d24-422b-a3b6-e100c9a4bad1_png.rf.ac128576e826b2eca821e98b5f31f992.jpg", "expected": "Bihar", "predicted": "Bihar", "correct": true, "input_tokens": 1186, "output_tokens": 5, "elapsed_seconds": 2.8806587089784443, "metadata": {"question": "A quality inspector sees a pack whose printed batch number begins with the characters 'AB'. According to the information on this pack, in which Indian state was that pack manufactured? Choose one: Bihar, Haryana, Assam, or Punjab.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.93}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 45, "image": "de2bbe1d-be94-4d71-97d8-2c316733c49d_png.rf.3e37eee81410925ab9219df63ec1cca0.jpg", "expected": "10", "predicted": "10", "correct": true, "input_tokens": 1167, "output_tokens": 6, "elapsed_seconds": 2.84223554097116, "metadata": {"question": "If a person consumes exactly three packets per day, what is the maximum number of full days this box of packets will last? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8667}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 46, "image": "09c2792b-3755-4eee-828f-fa0c2567760f_png.rf.c5f2d9113af4bbc2882b49e0ae573966.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1206, "output_tokens": 5, "elapsed_seconds": 4.0787746659480035, "metadata": {"question": "To balance the shelves so that both have an equal number of books, how many books must be moved from the bottom shelf to the top shelf? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.1206}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 47, "image": "57ae8fef-d674-43e7-9cf4-e7aeddb9e311_png.rf.88bc8729d68c7e1a097ea61f60d08ffc.jpg", "expected": "400", "predicted": "400", "correct": true, "input_tokens": 1167, "output_tokens": 7, "elapsed_seconds": 4.347647583927028, "metadata": {"question": "What is the total value of all the banknotes shown in the image, in Malaysian Ringgit (RM)? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.4435}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 48, "image": "26584325-f95e-41e4-9f4b-99afc5ff078d_png.rf.9c541fbfbbd37f1e00d8f04f9ac40b45.jpg", "expected": "beetroot", "predicted": "beetroot", "correct": true, "input_tokens": 1151, "output_tokens": 6, "elapsed_seconds": 5.009087458951399, "metadata": {"question": "Based on the details of the planted vegetables, which specific vegetable was planted from a tray instead of 6-packs? Choose one: beetroot, celery, coriander, or marigold.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.0913}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 49, "image": "20b7a85e-989a-4fa8-b275-6a1d92d2118a_png.rf.3bcf6e487a9fb4eb1f3f3848b5465060.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1183, "output_tokens": 5, "elapsed_seconds": 4.436612125020474, "metadata": {"question": "If the white ball-handler shoots without moving his feet, how many points would a made basket be worth under standard basketball rules? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.4929}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 50, "image": "7a31b46f-531b-43e7-895b-4e25e049abb3_png.rf.119ce2ebe0cff7f16bc80422173c188a.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1139, "output_tokens": 5, "elapsed_seconds": 3.716086292057298, "metadata": {"question": "If only the visible rear door were replaced, would all of the visible scrape damage be eliminated? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.784}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 51, "image": "7a31b46f-531b-43e7-895b-4e25e049abb3_png.rf.119ce2ebe0cff7f16bc80422173c188a.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1139, "output_tokens": 5, "elapsed_seconds": 3.249554958078079, "metadata": {"question": "From the perspective of a driver seated inside and facing forward, which side is it? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.3173}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 52, "image": "82172a50-05ec-4f75-9b67-02d726a97981_png.rf.b6b418d86b460b5df29a48b3cf9bff9f.jpg", "expected": "yes", "predicted": "No", "correct": false, "input_tokens": 1146, "output_tokens": 5, "elapsed_seconds": 3.00894704204984, "metadata": {"question": "This car is driving toward the viewer's position, and this road follows right-hand traffic rules. Is the car currently keeping to its correct side of the road? Answer yes or no.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 3.0543}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 53, "image": "612c657e-0e9c-4b2b-a741-2d1b1158c172_png.rf.e46b67734667d8de639182c1c6b58968.jpg", "expected": "left hand", "predicted": "left hand", "correct": true, "input_tokens": 1146, "output_tokens": 6, "elapsed_seconds": 3.924093083012849, "metadata": {"question": "Based on the anatomical structure and the grip shown, which of the person's hands is holding the paper? Choose one: left hand or right hand.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.005}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 54, "image": "bc085807-a87c-42c4-85dc-07885733dac6_png.rf.86d16faa2e4e01ea9b2f076098eda3da.jpg", "expected": "2805.47", "predicted": "2805.47", "correct": true, "input_tokens": 1192, "output_tokens": 11, "elapsed_seconds": 2.2805140840355307, "metadata": {"question": "If the customer adds two more units of Product XYZ while the unit price and tax rate stay the same, what will the revised invoice total be? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.2897}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 55, "image": "4d261616-1f0b-4f51-8ebe-eaee7b84825e_png.rf.e8a48b995002e60e7809ef941602370f.jpg", "expected": "left side", "predicted": "left side", "correct": true, "input_tokens": 1162, "output_tokens": 6, "elapsed_seconds": 2.5553115410730243, "metadata": {"question": "From the perspective of a driver seated inside and facing forward, which side of the car contains the visible damage? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.571}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 56, "image": "7d7e098f-4a0d-4864-b2ea-d57988d4d061_png.rf.950712e3033a1d927b27752329326738.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1180, "output_tokens": 5, "elapsed_seconds": 4.7930994590278715, "metadata": {"question": "From the perspective of a driver inside the blue SUV at the bottom of the image looking forward, on which side of their vehicle is the yellow Mazda? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.9132}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 57, "image": "19f45907-d682-40cf-bb87-9133dc873871_png.rf.8d5ae1def0513a436febceba4ca296a6.jpg", "expected": "left hand", "predicted": "left hand", "correct": true, "input_tokens": 1195, "output_tokens": 6, "elapsed_seconds": 3.456240792060271, "metadata": {"question": "Based on the visible features and orientation of the hand pressing the button, which of the person's hands is being used? Choose one: left hand or right hand.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.4779}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 58, "image": "347cb08d-5018-4506-8ff7-6052b5215bee_png.rf.f2241527449eeba4edc25991a9428857.jpg", "expected": "19190.95", "predicted": "19190.95", "correct": true, "input_tokens": 1199, "output_tokens": 12, "elapsed_seconds": 2.5358489580685273, "metadata": {"question": "If the e-transfer withdrawal to 'budget AUTO glass' on July 15 had not occurred, what would the final balance be after the transaction on July 16? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.5639}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 59, "image": "6bdb57de-1206-40d4-a60a-1ac4c22a0468_png.rf.a9d75682ae8f6507d6225b4fa0e1d7f6.jpg", "expected": "right side", "predicted": "right side", "correct": true, "input_tokens": 1177, "output_tokens": 6, "elapsed_seconds": 3.4212695829337463, "metadata": {"question": "From the perspective of the driver sitting inside the vehicle looking forward, on which side of the dashboard is the plush toy located? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.4474}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 60, "image": "97a91186-1382-40c6-8e10-ca36e7a94269_png.rf.f9de5fd2b340b608eb21d6e7fc1d9949.jpg", "expected": "parallel", "predicted": "parallel", "correct": true, "input_tokens": 1186, "output_tokens": 5, "elapsed_seconds": 4.778593249968253, "metadata": {"question": "Consider the log currently held in the grapple above the pile. Is its long axis oriented parallel or perpendicular to the logs stacked in the pile? Choose one: parallel or perpendicular.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.7949}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 61, "image": "68b07f85-3cf2-4e70-af98-06ef0c9d2c58_png.rf.d63e64af870bba743f8c88c43567124d.jpg", "expected": "unloading", "predicted": "loading", "correct": false, "input_tokens": 1168, "output_tokens": 5, "elapsed_seconds": 3.737426040926948, "metadata": {"question": "Based on the worker's posture and direction of movement, is he loading the stack of red crates into the truck or unloading them from the truck? Choose one: loading or unloading.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 3.7853}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 62, "image": "db85c5c8-8aa2-4f36-93dd-7f73a9c7b9c0_png.rf.d13c340009833ccd6defe35016843595.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1186, "output_tokens": 5, "elapsed_seconds": 6.46415470901411, "metadata": {"question": "From the perspective of a driver sitting inside the car and looking forward, on which side of the vehicle is the 'SPORT' badge located? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.5152}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 63, "image": "2e1a4d87-f03c-4189-9406-7968664edda2_png.rf.7605c122843447cd3cbdda9bfc61fe25.jpg", "expected": "2700.00", "predicted": "2700.00", "correct": true, "input_tokens": 1192, "output_tokens": 11, "elapsed_seconds": 2.5218422920443118, "metadata": {"question": "If the same supplier shipped 100 additional cartons of head gear at the same average per-carton weight implied by this invoice, what would the new total gross weight be in kilograms? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.5662}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 64, "image": "2e15743f-6bc8-4cce-8ec0-66eea3a6ca2f_png.rf.dff2a916b2154426e2043eda4cd591dd.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1176, "output_tokens": 5, "elapsed_seconds": 9.702379958005622, "metadata": {"question": "How many vertical columns in the vending machine contain at least one Pepsi can? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.7415}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 65, "image": "3f655000-3416-4906-8785-f716a5195996_png.rf.43d1001a93452d12ad70e047d2c6ed7e.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1184, "output_tokens": 5, "elapsed_seconds": 5.164851584006101, "metadata": {"question": "If you want to prepare breakfast plates that each require exactly 2 eggs and half an apple, what is the maximum number of such plates you can complete using only the visible eggs and apples? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.2649}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 66, "image": "4b1a9f4a-6b60-4350-b603-55755b49eaa7_png.rf.1a82163a0fad58cd34885043f4c4eb55.jpg", "expected": "15", "predicted": "15", "correct": true, "input_tokens": 1174, "output_tokens": 6, "elapsed_seconds": 3.414675374981016, "metadata": {"question": "At V_DS = 10 V, what is the approximate increase in drain current when V_GS rises from 6 V to 7 V? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.4367}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 67, "image": "0b0da260-9ab1-48b3-a909-03dc21a83345_png.rf.be24612c532b032d65b0228f30386968.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1179, "output_tokens": 5, "elapsed_seconds": 4.165189333958551, "metadata": {"question": "If you need to retrieve the box sealed with blue tape, what is the minimum number of other boxes you must remove first so that it is completely unobstructed from above? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.2566}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 68, "image": "214d5a30-f38a-4509-bd53-1e3ea49f9c8b_png.rf.adb2216acfcf57012a8ae573e973f1ca.jpg", "expected": "11.80", "predicted": "11.80", "correct": true, "input_tokens": 1156, "output_tokens": 9, "elapsed_seconds": 4.582066040951759, "metadata": {"question": "What is the total amount of GST commission charges (NEFT-GST-COMMISSION) debited on September 15, 2025? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.6512}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 69, "image": "a605175c-be9c-4e9b-8f69-540e233aa5e8_png.rf.3f3d5135536b2e36c9325081fe4f36ee.jpg", "expected": "left side", "predicted": "left side", "correct": true, "input_tokens": 1202, "output_tokens": 6, "elapsed_seconds": 3.5066601660801098, "metadata": {"question": "Based on the position of the wheel and the wrapping of the bumper, which side of the vehicle (from the perspective of a driver sitting inside and looking forward) is damaged? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.5283}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 70, "image": "01d2cf72-1e3e-425b-8743-ef01ca46252d_png.rf.3f9dc60e26c06dbdc9181e5b067126a0.jpg", "expected": "46.2%", "predicted": "46.2%", "correct": true, "input_tokens": 1172, "output_tokens": 9, "elapsed_seconds": 11.113140875007957, "metadata": {"question": "Based on the nutritional information per 100g, what percentage of the total fat is saturated fat? Answer with a percentage rounded to one decimal place.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.1327}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 71, "image": "423751b4-264a-4fed-acd4-7432a257389d_png.rf.aca151f72457b1604c2dc4b92bce1c2e.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1182, "output_tokens": 5, "elapsed_seconds": 3.0820064999861643, "metadata": {"question": "Based on the technical drawing, what is the total tolerance range (the difference between the maximum and minimum allowable values) for the dimension associated with balloon 24? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1127}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 72, "image": "86827a6f-9148-40bc-84eb-1f26a69fb426_png.rf.7a36b6597b39ee2cb27e013247477184.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1162, "output_tokens": 5, "elapsed_seconds": 4.4345305419992656, "metadata": {"question": "From the perspective of a driver sitting inside the white truck in the foreground and looking forward, on which side of their vehicle is the black SUV? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.4658}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 73, "image": "dfe78d58-fa15-49ac-8673-04b364aaf8f6_png.rf.343b9ddb4be588f14fa49047c656c256.jpg", "expected": "opposite side", "predicted": "opposite side", "correct": true, "input_tokens": 1197, "output_tokens": 6, "elapsed_seconds": 9.030551040894352, "metadata": {"question": "Based on the direction of the shadows cast on the dock, is the sun located on the same side of the ship as the dock, or on the opposite side of the ship? Choose one: same side, or opposite side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.0856}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 74, "image": "85119d73-c38d-44d4-80b9-f7cfc4848029_png.rf.6faf117b9b48a03e7226813130cb8c31.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1203, "output_tokens": 5, "elapsed_seconds": 3.8789731670403853, "metadata": {"question": "Treat each occupied compartment as one movable stack. What is the minimum number of whole stacks that must be moved so that no two adjacent occupied compartments contain the same color? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.9107}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 75, "image": "73825c5f-4954-4824-8572-64ed5602323c_png.rf.fac850718e77f19df27b7bf90d021ba7.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1146, "output_tokens": 5, "elapsed_seconds": 5.547663750010543, "metadata": {"question": "What is the minimum number of doors a person must pass through to travel from Bedroom 2 to Bedroom 4? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.5652}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 76, "image": "ea00a7d2-1d73-45a3-8950-7f911a746913_png.rf.6d8d4591e8c887c3d43e174e43cfd621.jpg", "expected": "24", "predicted": "24", "correct": true, "input_tokens": 1154, "output_tokens": 6, "elapsed_seconds": 13.406000124989077, "metadata": {"question": "Based on the 'Hired From' and 'Hired To' dates listed under Employment Data, for how many full years was the subject employed at SOLAR TRADE? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 13.4254}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 77, "image": "e8894dda-fd01-4e8f-b233-7aa1c6924174_png.rf.f8d49103c494c77bf0b4a1c79b12bd32.jpg", "expected": "145", "predicted": "145", "correct": true, "input_tokens": 1161, "output_tokens": 7, "elapsed_seconds": 4.419532999978401, "metadata": {"question": "What is the difference in grams between the target weight indicated in the product name and the actual net quantity of this muskmelon? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.4637}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 78, "image": "29f47b83-0092-4736-a8e7-b3ef23a92354_png.rf.fb2f7e6c321affb606a4919b6a7433ae.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1178, "output_tokens": 5, "elapsed_seconds": 9.906629999983124, "metadata": {"question": "Based on the handwritten dates at the top of the form, how many days elapse between the date the document was written and its effective date? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.9217}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 79, "image": "5cf55f37-8adb-4adb-9520-148340548028_png.rf.e1605fd47b5ae75ba9c34cdcde09e17c.jpg", "expected": "July 10, 2016", "predicted": "June 10, 2016", "correct": false, "input_tokens": 1204, "output_tokens": 14, "elapsed_seconds": 3.6740840829443187, "metadata": {"question": "According to the payment terms and the invoice date, when is payment due? Choose one: June 10, 2016; July 10, 2016; July 5, 2016; August 10, 2016.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 3.6883}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 80, "image": "dae8c81a-4de4-4ef4-9301-25ca1ba03574_png.rf.d6aaed535d1e3ed00116c2b44301deea.jpg", "expected": "away", "predicted": "toward", "correct": false, "input_tokens": 1196, "output_tokens": 5, "elapsed_seconds": 8.103132999967784, "metadata": {"question": "If a worker grabbed the yellow pallet jack's handle and pulled it straight in the direction the handle currently points, would the jack move generally toward the central packing table or away from it? Choose one: toward or away.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 8.1602}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 81, "image": "9056e25e-2e7e-4746-b766-49e5c6aa52df_png.rf.9e357fa580bcb749370734803ddf5655.jpg", "expected": "left side", "predicted": "left side", "correct": true, "input_tokens": 1181, "output_tokens": 6, "elapsed_seconds": 3.8858901660423726, "metadata": {"question": "Based on the door handle's position relative to the vertical seam and the wheel arch at the bottom, which side of the vehicle is shown (from the perspective of a passenger sitting inside and facing forward)? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.9397}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 82, "image": "47ad34a1-d784-48fd-bf0b-9814791703e3_png.rf.0d90c040409da9a682d9d7db5b14476f.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1162, "output_tokens": 5, "elapsed_seconds": 34.617808207985945, "metadata": {"question": "If the Mercedes moves exactly one lane to its left, would it enter the same lane currently occupied by the smaller black car ahead? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 34.6925}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 83, "image": "0f7a1b1b-b0f9-4dba-9659-0455701b7a3f_png.rf.28278968509f5982105a211e62ac44b1.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1141, "output_tokens": 5, "elapsed_seconds": 3.9303675839910284, "metadata": {"question": "Would improving only the attributes currently rated 4 be sufficient to make every listed attribute receive the highest rating? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.9484}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 84, "image": "0f7a1b1b-b0f9-4dba-9659-0455701b7a3f_png.rf.28278968509f5982105a211e62ac44b1.jpg", "expected": "4.5", "predicted": "4.5", "correct": true, "input_tokens": 1139, "output_tokens": 7, "elapsed_seconds": 6.220403957995586, "metadata": {"question": "What is the average score of the attributes associated with PO11? Answer with a number rounded to one decimal place.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.2343}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 85, "image": "be797fcf-056b-44b2-a1da-b667c3185959_png.rf.29cfb688a5b86d169cb8732bb04f0f72.jpg", "expected": "22", "predicted": "24", "correct": false, "input_tokens": 1166, "output_tokens": 6, "elapsed_seconds": 4.730862334021367, "metadata": {"question": "If the black tray in the foreground has a total capacity of 10 rows with 5 slots per row, how many more devices are needed to completely fill it? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 4.7867}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 86, "image": "861cb64d-800a-4635-999c-739199f8b473_png.rf.c6b83038f9d574bf6dccf2b1554017ec.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1170, "output_tokens": 5, "elapsed_seconds": 27.001689041033387, "metadata": {"question": "Based on the date of the letter and the details provided in the text, how many days are expected to elapse between the date the check was mailed and the date MDA is expected to receive it? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 27.0219}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 87, "image": "22c3fc7f-6563-4f41-8eac-8c7d425b5633_png.rf.2dd8b94855832744d13e2f1185950566.jpg", "expected": "18", "predicted": "18", "correct": true, "input_tokens": 1173, "output_tokens": 6, "elapsed_seconds": 39.596303374972194, "metadata": {"question": "Based on the manpower details table, what is the total number of normal hours (NOR) worked by all listed employees combined on this day? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 39.6289}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 88, "image": "e47241e5-70ca-420f-9c96-05b3095ff135_png.rf.7a32ff91ffc2f7aad43c713c84c3052b.jpg", "expected": "G003...80", "predicted": "G003...80", "correct": true, "input_tokens": 1227, "output_tokens": 11, "elapsed_seconds": 10.050480250036344, "metadata": {"question": "A designer needs a resistor with a resistance of 2.0 k\u03a9 and a tolerance of \u00b10.05%. Based on the specifications, what is the Global Model of the lightest resistor that meets these requirements? Choose one: G001...80, G002, G003...80, or G005.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.1012}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 89, "image": "1c9d39fb-7707-4058-8d39-5ef46b4d46bf_png.rf.3c3842ab73120c2d5d767bf08e3b9b44.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1186, "output_tokens": 5, "elapsed_seconds": 9.954733708058484, "metadata": {"question": "From the perspective of the driver seated inside the white pickup and facing its direction of travel, on which side of the truck is the pedestrian? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.0153}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 90, "image": "2d031b53-a61c-4de0-b98e-52b14a4c6fcc_png.rf.1abec44486981464bee69aff5fc4acdd.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1158, "output_tokens": 5, "elapsed_seconds": 4.531374208047055, "metadata": {"question": "Assuming each of the two pizzas on the warming station was originally cut into 6 equal slices, how many slices in total have been sold? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.5645}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 91, "image": "d06e0e70-1bed-4998-bcd4-bc8eccac71d3_png.rf.bd4e209d1eda6cadcb0362c0e61a56a0.jpg", "expected": "253730", "predicted": "253730", "correct": true, "input_tokens": 1183, "output_tokens": 10, "elapsed_seconds": 4.453858249937184, "metadata": {"question": "Using a rule of Medium priority before Low priority, then earliest Created Date to break a tie, which visible ticket should be handled next? Answer with ticket ID.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.4847}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 92, "image": "d06e0e70-1bed-4998-bcd4-bc8eccac71d3_png.rf.bd4e209d1eda6cadcb0362c0e61a56a0.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1182, "output_tokens": 5, "elapsed_seconds": 3.3331376659916714, "metadata": {"question": "What is the time difference in hours between the earliest and latest tickets created on Apr 6, 2026? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.3638}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 93, "image": "b3f197fe-81ad-4fc1-bd69-d3b01d48b2b8_png.rf.5abbc57e2abc00bdf8184ff41d45e10c.jpg", "expected": "right hand", "predicted": "right hand", "correct": true, "input_tokens": 1145, "output_tokens": 6, "elapsed_seconds": 20.031881082919426, "metadata": {"question": "Based on the position of the thumb and fingers, which hand is the operator using to hold the scanner? Choose one: left hand or right hand.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 20.1138}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 94, "image": "b3f197fe-81ad-4fc1-bd69-d3b01d48b2b8_png.rf.5abbc57e2abc00bdf8184ff41d45e10c.jpg", "expected": "up", "predicted": "up", "correct": true, "input_tokens": 1163, "output_tokens": 5, "elapsed_seconds": 4.8695776669774204, "metadata": {"question": "Keeping the scanner at its current tilt so the beam stays horizontal, in which direction should the worker shift the beam so it crosses a barcode's bars perpendicularly and can decode it? Choose one: up, down, left, or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.9495}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 95, "image": "0d8b9fdc-32fc-4324-9e81-414d7762982a_png.rf.10e3ab24f0cc229fc194f19150a9088a.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1167, "output_tokens": 5, "elapsed_seconds": 7.4561039169784635, "metadata": {"question": "Which room number becomes completely isolated from all other rooms if the sliding door SD is closed? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.4752}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 96, "image": "0d8b9fdc-32fc-4324-9e81-414d7762982a_png.rf.10e3ab24f0cc229fc194f19150a9088a.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1174, "output_tokens": 5, "elapsed_seconds": 5.222839417052455, "metadata": {"question": "What is the minimum number of doors a person must pass through to travel from BedRoom 2 to BathRoom 5? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.2426}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 97, "image": "56b1bbe0-a003-4ba6-8cb2-08dd2f74a08a_png.rf.48d53e8f7bf6d0dbcf9eb16889b0777a.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1177, "output_tokens": 5, "elapsed_seconds": 6.582730291993357, "metadata": {"question": "Based on the relative timestamps shown in the screenshot of the thread, how many hours after Benji Taylor's post did Paul Macgregor post his response? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.5967}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 98, "image": "c2dd6dca-767e-4fe1-8dfb-ead3a37507db_png.rf.96bbfed9aead2bbd919d3b4c1237287a.jpg", "expected": "1.3%", "predicted": "1.3%", "correct": true, "input_tokens": 1178, "output_tokens": 8, "elapsed_seconds": 15.000209250021726, "metadata": {"question": "Comparing the loading units and offloading units recorded on the note, what percentage of the loaded manganese ore fines was lost in transit? Answer with a percentage rounded to one decimal place.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 15.0437}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 99, "image": "c2dd6dca-767e-4fe1-8dfb-ead3a37507db_png.rf.96bbfed9aead2bbd919d3b4c1237287a.jpg", "expected": "520", "predicted": "520", "correct": true, "input_tokens": 1167, "output_tokens": 7, "elapsed_seconds": 10.803753458079882, "metadata": {"question": "What is the difference between the loading units and the offloading units recorded on this delivery note? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.8495}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 100, "image": "d8552ab5-9930-4bd4-a00c-0f4adbeb76e4_png.rf.fc1f316aa3e9348a20e81d0e619cfa66.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1183, "output_tokens": 5, "elapsed_seconds": 5.392452667001635, "metadata": {"question": "If this document is folded exactly in half by bringing the top edge down to meet the bottom edge, will the two punched holes on the left margin align to overlap each other? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.4064}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 101, "image": "42990fe8-872a-4d4e-a1f9-7926a990b803_png.rf.542a9bb854b1ddec7ea9b3c71f102c32.jpg", "expected": "13", "predicted": "13", "correct": true, "input_tokens": 1140, "output_tokens": 6, "elapsed_seconds": 5.00867541693151, "metadata": {"question": "What is the difference between the number of recorded heights that are at least 150 centimetres and those that are under 142 centimetres? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.0135}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 102, "image": "bcf2178d-166f-4ae9-a0ef-40c03e873d7b_png.rf.45781833e957384c1cc81ae703e548a8.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1187, "output_tokens": 5, "elapsed_seconds": 4.9292306249262765, "metadata": {"question": "Judging from the direction traffic travels on this roadway, which barrier are the two crashed SUVs resting against from the perspective of drivers on this road? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.9715}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 103, "image": "e8acc7bd-43d8-4902-8871-758a81216657_png.rf.3fdb3f122bcab387f522f1113b53a202.jpg", "expected": "yes", "predicted": "yes", "correct": true, "input_tokens": 1193, "output_tokens": 5, "elapsed_seconds": 11.272384833078831, "metadata": {"question": "A goaltender standing in the crease of the visible net faces up-ice toward the oncoming play. Are the majority of the green-jerseyed players currently on his left side? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.3287}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 104, "image": "c9dbd271-e8bd-4a4c-9d90-dcc53a4910f6_png.rf.7b116829f9e80042e6ff64cae0ce75bd.jpg", "expected": "18", "predicted": "18", "correct": true, "input_tokens": 1193, "output_tokens": 6, "elapsed_seconds": 5.663993833004497, "metadata": {"question": "Using standard chess piece values where a pawn is 1 point, a bishop or knight is 3 points, and a rook is 5 points, what is the total point value of the captured white pieces set aside on the right? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.719}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 105, "image": "4409ba1c-5b55-47e4-8fb3-ed245021d0bb_png.rf.274f7c4fb87e3efa82cd64b8840d0de7.jpg", "expected": "75.00", "predicted": "75.00", "correct": true, "input_tokens": 1151, "output_tokens": 9, "elapsed_seconds": 16.508924416964874, "metadata": {"question": "If the customer had decided to keep the Lipsy Bikini Bottoms instead of returning them, what would the total refunded amount be? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 16.5796}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 106, "image": "dc0f068d-8a08-4674-8415-973756621fea_png.rf.e7ad2a97bf4cfd59534ddd786e1bfa09.jpg", "expected": "3", "predicted": "3", "correct": false, "input_tokens": 1180, "output_tokens": 5, "elapsed_seconds": 3.5871656249510124, "metadata": {"question": "What is the difference between the number of times 'C' is marked and the number of times 'D' is marked on this sheet? Answer with a single integer.", "strict_correct": true, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 3.5928}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 107, "image": "fd40be2e-2c23-4d4f-9af8-bee299b30fb0_png.rf.d32862e3f7c08fa121abceaa35a724bf.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1142, "output_tokens": 5, "elapsed_seconds": 12.076003000023775, "metadata": {"question": "How many of the 9 columns in the vending machine contain at least one bottle with a green cap? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 12.1268}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 108, "image": "39e13a5d-7f3d-4cb3-b99e-5a31236bdb32_png.rf.ac7593ea805bf54030232955f3054140.jpg", "expected": "38", "predicted": "38", "correct": true, "input_tokens": 1155, "output_tokens": 6, "elapsed_seconds": 6.0238425000570714, "metadata": {"question": "If we want to fill the display cabinet so that every compartment contains exactly one car, how many additional cars must be added? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.0274}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 109, "image": "ed033e2a-4072-4930-98ed-35aa45aee1d9_png.rf.3b133b1ed5ad005654d6d55fde0e6a80.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1178, "output_tokens": 5, "elapsed_seconds": 18.28628708294127, "metadata": {"question": "From the perspective of a driver sitting inside the cab of the dump truck with the green tarp and looking forward, which side door of the cab is open? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 18.3585}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 110, "image": "25e6ed9c-2d37-4533-8021-977770aa97d1_png.rf.5e4c7a4776bb280dedd569d309846abd.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1182, "output_tokens": 5, "elapsed_seconds": 8.144702624995261, "metadata": {"question": "Without adding or removing any cylinders, can the load be rearranged so that all four horizontal rows contain exactly the same number of cylinders? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 2, "retries": 1, "total_seconds": 46.5352, "transient_errors": ["ReadError"]}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 111, "image": "17a88e1e-fb1c-46f0-8620-8f19854b8fff_png.rf.e4fb269a60ea85233a7bdd3d43ef4aa1.jpg", "expected": "right side", "predicted": "right side", "correct": true, "input_tokens": 1195, "output_tokens": 6, "elapsed_seconds": 8.77575758297462, "metadata": {"question": "Based on the relative positions of the wheel and the front fog light, which side of the vehicle (from the perspective of a driver sitting inside and looking forward) is damaged? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 3, "retries": 2, "total_seconds": 50.4939, "transient_errors": ["ReadError", "ReadError"]}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 112, "image": "3a1d4bd3-6db0-4cda-881d-e9ae4c194abb_png.rf.34d91902d10ee43e73241d5a9df8fa98.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1157, "output_tokens": 5, "elapsed_seconds": 55.91475616698153, "metadata": {"question": "From the perspective of an officer sitting in the driver's seat of this SUV and facing forward, on which side of the vehicle is the person in the hooded sweatshirt standing? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 56.0202}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 113, "image": "0c721c3c-19a5-4857-89af-7d480d1a8ad6_png.rf.d4d68898257830e57382ff91e2ca4912.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1185, "output_tokens": 5, "elapsed_seconds": 28.2977509170305, "metadata": {"question": "A patient must take medication only on odd-numbered days of the week (days 1, 3, 5, and 7), leaving even-numbered days (days 2, 4, and 6) empty. How many of the 28 trays are prepared exactly according to this schedule? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 28.5695}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 114, "image": "0c721c3c-19a5-4857-89af-7d480d1a8ad6_png.rf.d4d68898257830e57382ff91e2ca4912.jpg", "expected": "8", "predicted": "7", "correct": false, "input_tokens": 1154, "output_tokens": 5, "elapsed_seconds": 12.080525084049441, "metadata": {"question": "A patient must take medication every day of the week, with all seven days filled. How many of the 28 trays are prepared exactly according to this schedule? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 12.1588}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 115, "image": "fd7145ce-ff54-42eb-b555-006479012309_png.rf.b64dc2701743bae035f831b7e381d8a1.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1162, "output_tokens": 5, "elapsed_seconds": 16.506081750034355, "metadata": {"question": "Based on the handwritten entries in the rent table, how many of the listed periods have a base monthly rent of exactly $2500.00? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 16.5319}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 116, "image": "62bb473c-8343-402f-a809-8a36d42884ff_png.rf.979d16777be23bdc0037837ff45a8b29.jpg", "expected": "14", "predicted": "14", "correct": true, "input_tokens": 1196, "output_tokens": 6, "elapsed_seconds": 22.996353750000708, "metadata": {"question": "If a fully stocked column in this tray contains exactly 7 ice creams, how many additional ice creams are needed to fully stock all 7 columns (numbered 31 through 37)? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 23.0522}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 117, "image": "94bfcdd8-0a2b-4903-95da-34fea7e1899c_png.rf.73c78580b0e05542ed686abf5b77f46d.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1151, "output_tokens": 5, "elapsed_seconds": 20.247558249975555, "metadata": {"question": "Based on the printed date of birth and date of expiry, will the cardholder have already turned 40 years old by the time this card expires? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 20.3408}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 118, "image": "b8891395-36f3-42e5-a1d2-616a922e0771_png.rf.b7e3860f9d0d9ab3e7f7fd0a6742a738.jpg", "expected": "yes", "predicted": "No", "correct": false, "input_tokens": 1165, "output_tokens": 5, "elapsed_seconds": 31.725287041044794, "metadata": {"question": "Before the pharmacist can sweep the loose capsules on the tray surface into the transparent channel at the top, must the clear cover first be lifted open? Answer yes or no.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 31.8362}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 119, "image": "7315cbf8-64fb-436e-8446-d2f061545df7_png.rf.6f038540710afe5f888b22200ca39932.jpg", "expected": "1", "predicted": "0", "correct": false, "input_tokens": 1138, "output_tokens": 5, "elapsed_seconds": 37.485155417001806, "metadata": {"question": "What is the minimum number of additional dominoes needed so that all five visible tiles can be used in one valid matching chain? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 37.5575}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 120, "image": "7315cbf8-64fb-436e-8446-d2f061545df7_png.rf.6f038540710afe5f888b22200ca39932.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1146, "output_tokens": 5, "elapsed_seconds": 26.472658541984856, "metadata": {"question": "If no new dominoes may be added, what is the minimum number of visible tiles that must be left out to arrange all the others as one valid matching chain? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 26.5476}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 121, "image": "7315cbf8-64fb-436e-8446-d2f061545df7_png.rf.6f038540710afe5f888b22200ca39932.jpg", "expected": "8", "predicted": "8", "correct": true, "input_tokens": 1138, "output_tokens": 5, "elapsed_seconds": 24.567778249969706, "metadata": {"question": "What is the total number of dots (pips) across all the dominoes that have at least one completely blank half? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 24.6436}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 122, "image": "841a0a03-fb48-4b1b-8e75-8abef424a913_png.rf.f11c6efbf5e3b71b7477a83694d80fce.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1154, "output_tokens": 5, "elapsed_seconds": 10.047060832963325, "metadata": {"question": "If the container is carrying 28,000 kg of cargo, can an additional 900 kg shipment be loaded without exceeding the stated payload limit? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.1466}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 123, "image": "ddb36742-789d-4a6f-a256-5998c9acd5cd_png.rf.f0ede67f0e9f049e1f036fb52b97641d.jpg", "expected": "4.40", "predicted": "4.40", "correct": true, "input_tokens": 1127, "output_tokens": 8, "elapsed_seconds": 23.667961416067556, "metadata": {"question": "Based on the regular prices listed on the receipt, how much total money was saved on the discounted items compared to their regular prices? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 23.712}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 124, "image": "3cd889b7-4626-47fe-af90-b98b2d5ffdfc_png.rf.7515e2b89f3d7561f907f84154e00de5.jpg", "expected": "3921.09", "predicted": "3921.09", "correct": true, "input_tokens": 1195, "output_tokens": 11, "elapsed_seconds": 26.994282416068017, "metadata": {"question": "Among the seven individual items listed in the table on this page, what is the sum of the amounts for the items that expire in the year 2028? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 27.0634}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 125, "image": "3cd889b7-4626-47fe-af90-b98b2d5ffdfc_png.rf.7515e2b89f3d7561f907f84154e00de5.jpg", "expected": "15", "predicted": "15", "correct": true, "input_tokens": 1188, "output_tokens": 6, "elapsed_seconds": 20.526645708014257, "metadata": {"question": "Among the seven individual items listed in the table on this page, what is the total quantity of items that have a discount of 6.00%? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 20.5964}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 126, "image": "f035f306-754e-4ab9-bd14-80de6cb9353f_png.rf.463bdd12d569cb3ed06ddefa4f7c0544.jpg", "expected": "1", "predicted": "2", "correct": false, "input_tokens": 1141, "output_tokens": 5, "elapsed_seconds": 10.699343541986309, "metadata": {"question": "If you group all the visible beans into sets of three, how many beans will remain ungrouped? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 10.7891}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 127, "image": "32beea2c-22a7-4032-9914-2b8af79a6ca6_png.rf.afa9d4a51e3264b766523b0b6c43118f.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1164, "output_tokens": 5, "elapsed_seconds": 17.48592899995856, "metadata": {"question": "Does the circled total score in red at the bottom-left corner equal the sum of all individual question scores marked in red on this page? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 17.5286}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 128, "image": "1b4e5426-d109-4398-8e45-ab1dc497980f_png.rf.da896199922990bcefe9fec6ce57cec6.jpg", "expected": "11", "predicted": "11", "correct": true, "input_tokens": 1190, "output_tokens": 6, "elapsed_seconds": 2.7740360419265926, "metadata": {"question": "If each correct red-circled response earns one point and the blue worked example is excluded, what is the student's score out of 12? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8104}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 129, "image": "864cf752-35ed-44ca-9e73-a27ba19cecb3_png.rf.d9a6b6882d7d84ae1066efdb3590df46.jpg", "expected": "12", "predicted": "12", "correct": true, "input_tokens": 1182, "output_tokens": 6, "elapsed_seconds": 5.166910624946468, "metadata": {"question": "If the player currently holding the ball successfully shoots and scores from her current position, what will Washington's total score become? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.2229}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 130, "image": "bffbaa49-7832-430e-995d-4db0336f7444_png.rf.705666d967baf405ca5b8c91e2e291d1.jpg", "expected": "no", "predicted": "no", "correct": true, "input_tokens": 1167, "output_tokens": 5, "elapsed_seconds": 12.236167041934095, "metadata": {"question": "If three nuts are allocated to one mounting job, can five complete mounting jobs be supplied from the visible nuts? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 12.3123}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 131, "image": "3cc9dff1-0e00-4900-9013-00d7b1be6a09_png.rf.4fb05de3247bdec3e1119e997d8f465b.jpg", "expected": "4", "predicted": "2", "correct": false, "input_tokens": 1206, "output_tokens": 5, "elapsed_seconds": 6.714689290965907, "metadata": {"question": "Based on the runners' current positions relative to the finish line on the right, which lane contains the runner currently in second place? Answer with a single integer, counting lanes from top (Lane 1) to bottom (Lane 8).", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 6.7356}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 132, "image": "4963b4c1-9126-48bc-ac30-e28cf692d079_png.rf.b0fe0fbf8e74b310187bebdb4e04529c.jpg", "expected": "right side", "predicted": "right side", "correct": true, "input_tokens": 1190, "output_tokens": 6, "elapsed_seconds": 80.72997112502344, "metadata": {"question": "Based on the visible wheel and headlight positions, which front side of the vehicle has the scuffed fender from the driver's forward-facing perspective? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 80.8707}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 133, "image": "6b1464af-2a20-4dc1-9b69-67b163aad58b_png.rf.5558871ebbc74585da7539ae1c82803b.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1158, "output_tokens": 5, "elapsed_seconds": 21.806495083030313, "metadata": {"question": "Identify the column in the seedling tray that contains the longest continuous vertical sequence of empty plugs (containing only soil with no sprouted seedlings). How many empty plugs are in this longest sequence? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 21.9234}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 134, "image": "6b1464af-2a20-4dc1-9b69-67b163aad58b_png.rf.5558871ebbc74585da7539ae1c82803b.jpg", "expected": "top half", "predicted": "top half", "correct": true, "input_tokens": 1163, "output_tokens": 6, "elapsed_seconds": 18.953022041008808, "metadata": {"question": "If the seedling tray is divided horizontally into a top half (rows 1 to 6) and a bottom half (rows 7 to 12), which half contains more empty plugs? Choose one: top half or bottom half.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 19.0716}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 135, "image": "dea1a5c6-1f2e-4b07-946a-898cd8732f5f_png.rf.2317c0f63fa82df7683229a1fb7f5cd0.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1135, "output_tokens": 5, "elapsed_seconds": 13.954412042046897, "metadata": {"question": "How many shelves in the vending machine are stocked exclusively with water bottles? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 14.0731}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 136, "image": "93bf4bd9-63d1-4a73-97c8-e0e904fd029c_png.rf.c1d6a7530844ca542169fdee4d809e3e.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1145, "output_tokens": 5, "elapsed_seconds": 25.818114083027467, "metadata": {"question": "If the pressure rises by 1 bar from the gauge's current reading, would the needle enter the red warning band? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 25.9215}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 137, "image": "47352e6f-33b7-4c16-a520-03c8afe4c357_png.rf.4232d80b4b83ee4ee01af34332beae25.jpg", "expected": "on top", "predicted": "on top", "correct": true, "input_tokens": 1176, "output_tokens": 6, "elapsed_seconds": 5.979410042054951, "metadata": {"question": "Between the two crossed straight pins with black heads, does the pin with its black head at the bottom-right lie on top of or underneath the other pin? Choose one: on top or underneath.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.0964}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 138, "image": "40a321ee-89d8-4846-a3cf-b01413e971a3_png.rf.fbb996228d647f5d917d28665d8698db.jpg", "expected": "lower right", "predicted": "lower right", "correct": true, "input_tokens": 1168, "output_tokens": 6, "elapsed_seconds": 19.805988041916862, "metadata": {"question": "Based on the long shadows cast by the cattle, from which direction in the image is the sunlight coming? Choose one: upper left, upper right, lower left, or lower right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 19.858}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 139, "image": "9c949507-b9b3-4a20-b76b-24512aedea5e_png.rf.450473e96e9282304c85265164cf0d78.jpg", "expected": "increase", "predicted": "increase", "correct": true, "input_tokens": 1145, "output_tokens": 5, "elapsed_seconds": 77.34610408300068, "metadata": {"question": "To move the indicated pressure into the green operating band using the smallest change, should the pressure be increased or decreased? Choose one: increase or decrease.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 77.468}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 140, "image": "e3685148-49ec-4ad2-9f50-8d9133ce35cd_png.rf.b2bbd5b99df26d40ae43a5cd2cf549c7.jpg", "expected": "no", "predicted": "Yes", "correct": false, "input_tokens": 1155, "output_tokens": 5, "elapsed_seconds": 55.3296517500421, "metadata": {"question": "If a customer has a budget of 30.00 \u20ac, do they have enough money to buy one box of Berocca Boost and one box of Berocca Energie? Answer yes or no.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 55.4483}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 141, "image": "d7a763ce-28eb-4366-9169-d68f30a452b5_png.rf.b74d57acbfc696374bd43af86dc6931d.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1159, "output_tokens": 5, "elapsed_seconds": 32.14897191594355, "metadata": {"question": "Can a person travel from the Chambre to the Cuisine without entering the Salon? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 32.2361}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 142, "image": "d7a763ce-28eb-4366-9169-d68f30a452b5_png.rf.b74d57acbfc696374bd43af86dc6931d.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1169, "output_tokens": 5, "elapsed_seconds": 35.91648387501482, "metadata": {"question": "Starting from outside the apartment, what is the minimum number of doors a person must pass through to enter the SDB? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 36.0052}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 143, "image": "c46b41e5-447a-47dd-8780-7877ae92faef_png.rf.baa63153d8d89462d240f65b8eda302b.jpg", "expected": "correct lane", "predicted": "oncoming lane", "correct": false, "input_tokens": 1182, "output_tokens": 7, "elapsed_seconds": 12.278951499960385, "metadata": {"question": "Based on standard United States road marking rules, is this vehicle driving in the correct lane or the oncoming lane? Choose one: correct lane or oncoming lane.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 12.3394}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 144, "image": "ac750e7d-de93-4813-828d-409d16bd176b_png.rf.6559b085ab129da83454776a9ff2f3c3.jpg", "expected": "20", "predicted": "20", "correct": true, "input_tokens": 1155, "output_tokens": 6, "elapsed_seconds": 4.9600685419281945, "metadata": {"question": "Based on the handwritten corrections, what is the difference between the original printed total number of events and the revised number of events? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.9825}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 145, "image": "76b25762-3b57-4158-9fab-945416165ada_png.rf.9990ab2a22469b04a599b81d43f7c09d.jpg", "expected": "118.00", "predicted": "118.00", "correct": true, "input_tokens": 1151, "output_tokens": 10, "elapsed_seconds": 29.513830041047186, "metadata": {"question": "If the ribeye and the Afri Hot Chilli sauce are paid for separately, how much remains for the rest of the bill? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 29.6401}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 146, "image": "d0b99ce8-8a3b-4d1d-98d4-b34137b19f08_png.rf.135586d63ba8944adf934e8d0cd9cc00.jpg", "expected": "1648", "predicted": "1648", "correct": true, "input_tokens": 1164, "output_tokens": 8, "elapsed_seconds": 84.70461941603571, "metadata": {"question": "What is the earliest year printed on any of the stamps in this sheet? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 84.8003}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 147, "image": "c91f10e7-1c18-434d-b9e6-2e570646da9d_png.rf.20b9e5afdcfab594a06be3928964180f.jpg", "expected": "yes", "predicted": "yes", "correct": true, "input_tokens": 1180, "output_tokens": 5, "elapsed_seconds": 35.74846362497192, "metadata": {"question": "If a driver without disability parking authorization wanted to use the space occupied by the dark sedan, would parking there be permitted? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 35.8048}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 148, "image": "8e2f7010-f314-4b13-badc-9a24ecdd1a45_png.rf.6aef955cc77c9959113ec1f1db73b0c3.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1151, "output_tokens": 5, "elapsed_seconds": 49.69244074996095, "metadata": {"question": "From the perspective of the truck driver seated in the cab and looking forward through the windshield, on which side is the large pyramid of blue drums? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 49.7569}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 149, "image": "76d985c4-8ba2-4660-871b-939bba136896_png.rf.42cd356e987e94c1579c6ffb589f753c.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1172, "output_tokens": 5, "elapsed_seconds": 15.975051542045549, "metadata": {"question": "If a qualifying shot must land in the 9-ring or closer to the center, has the target recorded at least five qualifying shots? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 16.0713}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 150, "image": "76d985c4-8ba2-4660-871b-939bba136896_png.rf.42cd356e987e94c1579c6ffb589f753c.jpg", "expected": "60", "predicted": "60", "correct": true, "input_tokens": 1163, "output_tokens": 6, "elapsed_seconds": 33.80118470895104, "metadata": {"question": "What is the total score of all shots that landed within the black region of the target? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 33.8982}} diff --git a/results/reasoning_gemini-4-argon_high_20261013_071611.jsonl b/results/reasoning_gemini-4-argon_high_20261013_071611.jsonl new file mode 100644 index 0000000..56ef2b6 --- /dev/null +++ b/results/reasoning_gemini-4-argon_high_20261013_071611.jsonl @@ -0,0 +1,151 @@ +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 0, "image": "85202175-9c3b-4a40-b0a9-3c0d33e250b6_png.rf.9afa602969ee1e53f32d2cd370c4c96b.jpg", "expected": "1", "predicted": "2", "correct": false, "input_tokens": 1157, "output_tokens": 3046, "elapsed_seconds": 41.95799187500961, "metadata": {"question": "If a worker wants to rearrange the five numbered pipes so that their labels are in strictly ascending order from top to bottom, what is the minimum number of pipes that must be moved? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 42.0142}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 1, "image": "4f216ea0-af67-40e1-a226-2884e051db56_png.rf.09105ef6b5dab81d9f1a17fd1c6b2c34.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1147, "output_tokens": 428, "elapsed_seconds": 11.567242208053358, "metadata": {"question": "How many days after the date written on the top right of the letter is the patient's kidney transplant scheduled to take place? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.626}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 2, "image": "d0980bab-2f15-4550-b3e6-813a2ad7e709_png.rf.46eb3c9c65328046e37275727bbeba8f.jpg", "expected": "1/2", "predicted": "1/2", "correct": true, "input_tokens": 1185, "output_tokens": 372, "elapsed_seconds": 7.788767832913436, "metadata": {"question": "Given that the selected number satisfies condition (iii), what is the probability that it also satisfies condition (iv)? Choose one: 0, 1/4, 1/2, or 1.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.8562}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 3, "image": "85133aaa-d105-42fc-9fb7-95b84cbcead1_png.rf.dd175df27fe32c388e49c027b817bd77.jpg", "expected": "opposite directions", "predicted": "opposite directions", "correct": true, "input_tokens": 1197, "output_tokens": 467, "elapsed_seconds": 9.6692602080293, "metadata": {"question": "In the paved courtyard, a white car and a dark grey sedan are parked side-by-side in the middle. Are these two vehicles parked facing the same direction or opposite directions? Choose one: same direction or opposite directions.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.764}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 4, "image": "cf479a9e-f37a-4a83-ba88-9c8813100830_png.rf.39718b9777bb616b7fab6dd75e98da87.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1163, "output_tokens": 643, "elapsed_seconds": 9.436856416985393, "metadata": {"question": "From the perspective of the customer standing at the checkout facing the screen, on which side of the scanner is the bagging platform with the plastic bags located? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.4902}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 5, "image": "afb31dc3-8a6d-445f-ac38-f772de2bccd4_png.rf.592a5fece3103b7455dd062f81f25633.jpg", "expected": "upper-left", "predicted": "upper-left", "correct": true, "input_tokens": 1173, "output_tokens": 2815, "elapsed_seconds": 40.30914920894429, "metadata": {"question": "Judging by the direction the building shadows point across the block, toward which corner of the image does the sunlight appear to be shining from (i.e., shadows point away from that corner)? Choose one: upper-left, upper-right, lower-left, or lower-right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 40.3815}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 6, "image": "52dc8fa9-e959-409e-baeb-84dd14382804_png.rf.48fb415d0a2851464da46f9e94f3598b.jpg", "expected": "Flurotec-coated bromobutyl serum stoppers", "predicted": "Flurotec-coated bromobutyl serum stoppers", "correct": true, "input_tokens": 1179, "output_tokens": 486, "elapsed_seconds": 8.113474582904018, "metadata": {"question": "Which packaging material was dispensed furthest above its required quantity? Choose one: amber glass vial, Flurotec-coated bromobutyl serum stoppers, or purple flip-off seal.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.2011}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 7, "image": "badd5270-702b-4161-804a-3875ebeaab25_png.rf.87a2d89de755bd8e677f27f6c325b675.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1182, "output_tokens": 449, "elapsed_seconds": 5.802787708002143, "metadata": {"question": "In the visible table, what is the difference between the number of rows with Real Customer Group '1278' and those with '1001'? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.8229}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 8, "image": "badd5270-702b-4161-804a-3875ebeaab25_png.rf.87a2d89de755bd8e677f27f6c325b675.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1170, "output_tokens": 612, "elapsed_seconds": 6.511163957999088, "metadata": {"question": "Excluding the row where the Party is 'NONE', how many unique Party values are listed in the table? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.5308}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 9, "image": "76bbc10c-bed4-41d3-8622-035eeabc5596_png.rf.b20dacd6d7f36277f12a5de62bcc77d5.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1143, "output_tokens": 1111, "elapsed_seconds": 11.205600916990079, "metadata": {"question": "How many total boxes of trial lenses are missing from the column labeled 110 in the bottom section? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.32}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 10, "image": "76bbc10c-bed4-41d3-8622-035eeabc5596_png.rf.b20dacd6d7f36277f12a5de62bcc77d5.jpg", "expected": "+1.00", "predicted": "+1.00", "correct": true, "input_tokens": 1160, "output_tokens": 436, "elapsed_seconds": 8.48867591691669, "metadata": {"question": "In the bottom section, which SPH power row is completely empty across all five columns? Choose one: +3.00, +2.00, +1.00, or -6.00.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.6018}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 11, "image": "f76b953e-a7af-4f0b-b25d-8464103c4b2d_png.rf.2323d361c5c1df73ba3feca61d206a76.jpg", "expected": "278", "predicted": "278", "correct": true, "input_tokens": 1145, "output_tokens": 425, "elapsed_seconds": 6.500408833031543, "metadata": {"question": "According to the nutritional information, how many total calories (Kcal) are contained in a portion of this snack that contains exactly 18 grams of fat? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.5348}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 12, "image": "f76b953e-a7af-4f0b-b25d-8464103c4b2d_png.rf.2323d361c5c1df73ba3feca61d206a76.jpg", "expected": "58.3%", "predicted": "58.3%", "correct": true, "input_tokens": 1148, "output_tokens": 572, "elapsed_seconds": 8.342603041906841, "metadata": {"question": "Based on the nutritional information per 100g, what percentage of the total energy comes from fat, using 9 kcal per gram of fat? Answer with a percentage rounded to one decimal place.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.4162}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 13, "image": "bb5d817a-0216-4404-a737-dc3a118edda4_png.rf.de0c951943b6ce799e856483fae63599.jpg", "expected": "2.742", "predicted": "2.742", "correct": true, "input_tokens": 1169, "output_tokens": 1147, "elapsed_seconds": 13.456405375036411, "metadata": {"question": "Based on the technical drawing, what is the horizontal distance between the leftmost center of the left slot and the vertical centerline of the top hole? Answer with a number rounded to three decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 13.4709}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 14, "image": "f1f21256-337e-4348-ab9a-13351b9666bc_png.rf.f7241e285cd093e86b7c7fa3968fcf5d.jpg", "expected": "11", "predicted": "11", "correct": true, "input_tokens": 1168, "output_tokens": 283, "elapsed_seconds": 4.2286374169634655, "metadata": {"question": "How many days elapse between the date the delivery note was issued and the scheduled delivery date? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.2392}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 15, "image": "dc13d7fa-f450-4040-a92b-a7d4f065e31d_png.rf.72799758463340501608cda7b66e2b78.jpg", "expected": "6", "predicted": "23", "correct": false, "input_tokens": 1159, "output_tokens": 885, "elapsed_seconds": 11.711721041006967, "metadata": {"question": "What is the total number of containers associated with all samples designated as composite ('C') under the collection type? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 11.7529}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 16, "image": "dc13d7fa-f450-4040-a92b-a7d4f065e31d_png.rf.72799758463340501608cda7b66e2b78.jpg", "expected": "no", "predicted": "no", "correct": true, "input_tokens": 1161, "output_tokens": 1112, "elapsed_seconds": 11.703767458093353, "metadata": {"question": "Does preservation code N apply to more total containers than preservation code S when every checked row is weighted by its listed container count? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.7476}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 17, "image": "8e5b7a3a-7b69-4663-8f76-5b772006e748_png.rf.f9a5eaa49d2d77a19776b2b8db176942.jpg", "expected": "11.9 cm", "predicted": "11.9 cm", "correct": true, "input_tokens": 1162, "output_tokens": 1192, "elapsed_seconds": 14.763520417036489, "metadata": {"question": "Based on the horizontal ruler, what is the length of the blister pack? Choose one: 11.4 cm, 11.9 cm, 12.4 cm, or 12.9 cm.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 14.7797}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 18, "image": "396282bc-0d15-4e53-8803-7e5b69c1bef0_png.rf.7026903692b33b2e719785561327c679.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1186, "output_tokens": 362, "elapsed_seconds": 6.866559000103734, "metadata": {"question": "If the worker wants to assemble another dessert cup matching those on the trays, can it be completed using only the loose ingredients visibly available on the table? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.9173}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 19, "image": "ea5e1584-2445-412a-ab88-341719a020fb_png.rf.e18e5930f3b7aaeffe6681b1e4b5928d.jpg", "expected": "4026.72", "predicted": "4026.72", "correct": true, "input_tokens": 1188, "output_tokens": 815, "elapsed_seconds": 10.348985041957349, "metadata": {"question": "If the \u20ac450 rework discount were removed while all other entries and the 19% VAT rate stayed unchanged, what would the resulting invoice total including VAT be? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.3677}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 20, "image": "8f5959cc-c71e-4f39-926e-f88be3cd618b_png.rf.fd70f6581b5f9ef831b77090bcd8e310.jpg", "expected": "250", "predicted": "250", "correct": true, "input_tokens": 1173, "output_tokens": 182, "elapsed_seconds": 3.5531333750113845, "metadata": {"question": "Subtract the total net weight from the total weight gross listed on the delivery note, and express the packaging weight in grams. Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.5636}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 21, "image": "1eae1c65-b395-4666-85f9-bf941b1def2c_png.rf.ee7f186d8bab2cd5b0cfb02161c8302a.jpg", "expected": "4", "predicted": "3", "correct": false, "input_tokens": 1172, "output_tokens": 308, "elapsed_seconds": 6.418711999896914, "metadata": {"question": "How many days elapsed between the date this cleaning record became effective and the date Section E was crossed out and signed? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 6.4832}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 22, "image": "ed48ae7c-8ca6-4fd9-9483-28df8487b82d_png.rf.36fc2484e3acc322295ec134e0068226.jpg", "expected": "left", "predicted": "right", "correct": false, "input_tokens": 1192, "output_tokens": 3639, "elapsed_seconds": 48.37584941601381, "metadata": {"question": "From the perspective of a driver sitting inside the white sedan and looking forward, on which side of their vehicle's front end did the collision occur? Choose one: left or right.", "strict_correct": false, "judge_correct": false, "attempts": 3, "retries": 2, "total_seconds": 177.0426, "transient_errors": ["RemoteProtocolError", "RemoteProtocolError"]}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 23, "image": "96a170be-c707-476a-87c6-8f9229dc9735_png.rf.088cef7f2ff77232fe6904a6836a5135.jpg", "expected": "upper row", "predicted": "upper row", "correct": true, "input_tokens": 1183, "output_tokens": 136, "elapsed_seconds": 5.039226458990015, "metadata": {"question": "For an arriving trailer needing an open marked bay, which row offers more parking options: upper row or lower row? Choose one: upper row or lower row.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.0985}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 24, "image": "f7ec4cc8-90a9-4a3f-8603-91de3073b392_png.rf.669686b7efc2f35cae0ce34ba90377ff.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1153, "output_tokens": 558, "elapsed_seconds": 8.173191457986832, "metadata": {"question": "Based on the position of the audio jack plugged into the panel, which side of the boy's head from his own perspective is closer to the plug? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.1855}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 25, "image": "b5ef866d-feb2-411f-ac5c-40c395cc3c62_png.rf.66b42d06fd426729cfaf37fe699ef682.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1179, "output_tokens": 339, "elapsed_seconds": 6.68247179093305, "metadata": {"question": "If a person walks in a straight line from the trampoline in the middle yard to the swing set in the left yard, how many property fence lines must they cross? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.789}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 26, "image": "eeee1640-5005-460c-a3f3-12dfff951fc5_png.rf.f39545ddd7734560dd9a051e2c230c8c.jpg", "expected": "right side", "predicted": "right side", "correct": true, "input_tokens": 1163, "output_tokens": 391, "elapsed_seconds": 6.974920207983814, "metadata": {"question": "Based on the perspective of a driver sitting inside the van and looking forward, on which side of the vehicle is the textured concrete wall located? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.0221}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 27, "image": "8a9b0190-2516-4613-a33c-114cf5eb8993_png.rf.923b9627464a61d6941c095f16b9c069.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1161, "output_tokens": 613, "elapsed_seconds": 8.67327024997212, "metadata": {"question": "If every visible wrapped burger must be served with its own bag of fries, how many additional bags of fries are needed? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.7385}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 28, "image": "2f5026b8-8dc1-4831-94a4-d9f1c102b0fd_png.rf.17d85e9f6c9abd757c801aa0d47f423e.jpg", "expected": "9", "predicted": "9", "correct": true, "input_tokens": 1148, "output_tokens": 797, "elapsed_seconds": 11.794660208048299, "metadata": {"question": "Counting from the start date of Steel Fabrication to the start date of Fit off on this schedule, how many days elapse in total? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.9219}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 29, "image": "f4155be5-83b2-4214-89e0-b21906a781bd_png.rf.f865f92d82e075d8770a8aa212800d2e.jpg", "expected": "48.50", "predicted": "48.50", "correct": true, "input_tokens": 1167, "output_tokens": 1069, "elapsed_seconds": 11.039973916020244, "metadata": {"question": "What is the actual total cost of all liquid beverages (Coke Zero, Pot Of Tea, Mochaccino, and Latte) listed on the receipt? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.1002}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 30, "image": "f4155be5-83b2-4214-89e0-b21906a781bd_png.rf.f865f92d82e075d8770a8aa212800d2e.jpg", "expected": "247.50", "predicted": "247.50", "correct": true, "input_tokens": 1158, "output_tokens": 670, "elapsed_seconds": 7.730497666983865, "metadata": {"question": "If the group had ordered only one Mochaccino instead of two, what would the new total bill be? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.7938}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 31, "image": "c9b00dcb-e093-43d9-baf8-f1971ff328af_png.rf.41492638acc0aba933dc61f9c675d2c7.jpg", "expected": "22", "predicted": "22", "correct": true, "input_tokens": 1144, "output_tokens": 823, "elapsed_seconds": 9.612004209076986, "metadata": {"question": "If a patient takes one capsule per day from this pack, how many days of medication are remaining in the pack? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.6642}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 32, "image": "b4ac0ec8-9f7d-4769-ae70-3d0a959ca24b_png.rf.85ff21bb1ee3df65bbc402ec233ed80a.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1189, "output_tokens": 873, "elapsed_seconds": 10.247222584090196, "metadata": {"question": "If the green and blue rings on the right-hand board were swapped, how many ring positions on that board would still differ from the left-hand board? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.2909}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 33, "image": "34d45dd0-c14f-4a0a-9ff1-031d92a49ca1_png.rf.85c2cfa50183c292a49aaa7c9b2f0064.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1191, "output_tokens": 491, "elapsed_seconds": 8.660789542016573, "metadata": {"question": "Based on the orientation of the stopped green SUV, on which side of the vehicle is the fallen motorcyclist lying from the perspective of a driver sitting inside looking forward? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.7114}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 34, "image": "403906f1-d101-4a15-b0b3-43f90df6b13e_png.rf.9db9421ec54b4a1bf4b5d2a3462836c6.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1182, "output_tokens": 571, "elapsed_seconds": 9.020110166980885, "metadata": {"question": "From the perspective of the man standing and walking along the aisle, on which side is the passenger holding reading papers seated? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.115}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 35, "image": "5a48fe25-9006-45d1-ac0c-fab115eb5d1a_png.rf.3951f54e9e9535809ab4efc645c98048.jpg", "expected": "1", "predicted": "2", "correct": false, "input_tokens": 1153, "output_tokens": 24050, "elapsed_seconds": 243.12671037495602, "metadata": {"question": "Based on the stacking limit symbol printed on the boxes, what is the maximum number of additional identical boxes that can be safely stacked on top of the foreground box? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 243.2105}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 36, "image": "6711dc5a-8b63-441e-8fea-910b9298bde9_png.rf.7ed399c3d00da2923147fe6901bc90e0.jpg", "expected": "3", "predicted": "1", "correct": false, "input_tokens": 1160, "output_tokens": 1736, "elapsed_seconds": 23.50460645905696, "metadata": {"question": "A worker wants to fill the crate's empty floor space with more punnets of the same size, laid flat in a single layer alongside the existing ones. How many additional punnets fit? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 23.58}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 37, "image": "04a7e555-066a-4662-be7d-1fab1d0a89bb_png.rf.1c99b9faeb404517267846787ed66438.jpg", "expected": "decreased", "predicted": "decreased", "correct": true, "input_tokens": 1141, "output_tokens": 277, "elapsed_seconds": 5.322232333943248, "metadata": {"question": "To move the shown pressure into the green band, should the system pressure be increased or decreased? Choose one: increased or decreased.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.3996}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 38, "image": "1710a83d-1506-464e-83bf-f015141f1c37_png.rf.bca4b5702f3d41d061d317ac2e0ea038.jpg", "expected": "10", "predicted": "10", "correct": true, "input_tokens": 1183, "output_tokens": 1307, "elapsed_seconds": 11.352281750063412, "metadata": {"question": "If a patient can only attend appointments at or after 11:00 AM, how many of the displayed time slots across the entire week are available to them? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.3671}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 39, "image": "1f2fe1d2-a6a6-4e60-a8e9-5a44e686ea1f_png.rf.e04f0049aa2caa0571f54b741224339f.jpg", "expected": "0", "predicted": "0", "correct": true, "input_tokens": 1167, "output_tokens": 457, "elapsed_seconds": 7.7528791659278795, "metadata": {"question": "How many of the cans on the table are lying on their side rather than standing upright? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.8195}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 40, "image": "986ae5b8-bac5-432c-9ab1-afa7c98c2ef6_png.rf.004ba60e063ba1ac27b397a96d9539ee.jpg", "expected": "ASML Hld", "predicted": "ASML Hld", "correct": true, "input_tokens": 1188, "output_tokens": 373, "elapsed_seconds": 4.885519583011046, "metadata": {"question": "Which of the following stocks listed under the letter 'A' has a 'Last' price that exceeds its listed 52-week High? Choose one: ASML Hld, ASV Inc s, ATI Tech, or ATMI Inc.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.9108}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 41, "image": "0de03edc-15c5-4782-a74b-7cedb1df477b_png.rf.25fbbbda8291953bf4362acd5ea98104.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1187, "output_tokens": 212, "elapsed_seconds": 3.7664261249592528, "metadata": {"question": "Based on the sequential numbering of the exercises, how many numbered problems between (1) and (14) are missing from this worksheet? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.7818}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 42, "image": "107aeb67-63af-49d6-874c-d2505fa3fa43_png.rf.dd08291695888d5c30c0c4d82e0d1f5c.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1148, "output_tokens": 504, "elapsed_seconds": 8.11776550009381, "metadata": {"question": "To open the left door of the container, what is the minimum number of vertical locking bars that must be disengaged across the entire container? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.2197}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 43, "image": "3798710d-6abc-41a9-a6fa-69b36af142fd_png.rf.7513f727ea31e7a4d75594a64c1cd041.jpg", "expected": "168", "predicted": "168", "correct": true, "input_tokens": 1191, "output_tokens": 691, "elapsed_seconds": 9.509970167069696, "metadata": {"question": "According to the red digital display on the right, the current time is shown on the bottom line. If the train is scheduled to reach its destination at 09:35, how many minutes of travel time remain? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.5895}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 44, "image": "dce06136-2d24-422b-a3b6-e100c9a4bad1_png.rf.ac128576e826b2eca821e98b5f31f992.jpg", "expected": "Bihar", "predicted": "Bihar", "correct": true, "input_tokens": 1186, "output_tokens": 325, "elapsed_seconds": 4.86549262504559, "metadata": {"question": "A quality inspector sees a pack whose printed batch number begins with the characters 'AB'. According to the information on this pack, in which Indian state was that pack manufactured? Choose one: Bihar, Haryana, Assam, or Punjab.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.9152}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 45, "image": "de2bbe1d-be94-4d71-97d8-2c316733c49d_png.rf.3e37eee81410925ab9219df63ec1cca0.jpg", "expected": "10", "predicted": "10", "correct": true, "input_tokens": 1167, "output_tokens": 1626, "elapsed_seconds": 18.249816291965544, "metadata": {"question": "If a person consumes exactly three packets per day, what is the maximum number of full days this box of packets will last? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 18.2749}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 46, "image": "09c2792b-3755-4eee-828f-fa0c2567760f_png.rf.c5f2d9113af4bbc2882b49e0ae573966.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1206, "output_tokens": 2747, "elapsed_seconds": 30.163589834002778, "metadata": {"question": "To balance the shelves so that both have an equal number of books, how many books must be moved from the bottom shelf to the top shelf? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 30.2052}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 47, "image": "57ae8fef-d674-43e7-9cf4-e7aeddb9e311_png.rf.88bc8729d68c7e1a097ea61f60d08ffc.jpg", "expected": "400", "predicted": "400", "correct": true, "input_tokens": 1167, "output_tokens": 1819, "elapsed_seconds": 21.431543292012066, "metadata": {"question": "What is the total value of all the banknotes shown in the image, in Malaysian Ringgit (RM)? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 21.5311}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 48, "image": "26584325-f95e-41e4-9f4b-99afc5ff078d_png.rf.9c541fbfbbd37f1e00d8f04f9ac40b45.jpg", "expected": "beetroot", "predicted": "beetroot", "correct": true, "input_tokens": 1151, "output_tokens": 305, "elapsed_seconds": 5.971901917015202, "metadata": {"question": "Based on the details of the planted vegetables, which specific vegetable was planted from a tray instead of 6-packs? Choose one: beetroot, celery, coriander, or marigold.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.0513}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 49, "image": "20b7a85e-989a-4fa8-b275-6a1d92d2118a_png.rf.3bcf6e487a9fb4eb1f3f3848b5465060.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1183, "output_tokens": 136, "elapsed_seconds": 3.626460542087443, "metadata": {"question": "If the white ball-handler shoots without moving his feet, how many points would a made basket be worth under standard basketball rules? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.6823}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 50, "image": "7a31b46f-531b-43e7-895b-4e25e049abb3_png.rf.119ce2ebe0cff7f16bc80422173c188a.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1139, "output_tokens": 673, "elapsed_seconds": 9.689925916027278, "metadata": {"question": "If only the visible rear door were replaced, would all of the visible scrape damage be eliminated? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.7576}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 51, "image": "7a31b46f-531b-43e7-895b-4e25e049abb3_png.rf.119ce2ebe0cff7f16bc80422173c188a.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1139, "output_tokens": 201, "elapsed_seconds": 5.47690541704651, "metadata": {"question": "From the perspective of a driver seated inside and facing forward, which side is it? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.5441}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 52, "image": "82172a50-05ec-4f75-9b67-02d726a97981_png.rf.b6b418d86b460b5df29a48b3cf9bff9f.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1146, "output_tokens": 2249, "elapsed_seconds": 32.509418083005585, "metadata": {"question": "This car is driving toward the viewer's position, and this road follows right-hand traffic rules. Is the car currently keeping to its correct side of the road? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 32.5566}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 53, "image": "612c657e-0e9c-4b2b-a741-2d1b1158c172_png.rf.e46b67734667d8de639182c1c6b58968.jpg", "expected": "left hand", "predicted": "left hand", "correct": true, "input_tokens": 1146, "output_tokens": 362, "elapsed_seconds": 10.046908125048503, "metadata": {"question": "Based on the anatomical structure and the grip shown, which of the person's hands is holding the paper? Choose one: left hand or right hand.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.1281}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 54, "image": "bc085807-a87c-42c4-85dc-07885733dac6_png.rf.86d16faa2e4e01ea9b2f076098eda3da.jpg", "expected": "2805.47", "predicted": "2805.47", "correct": true, "input_tokens": 1192, "output_tokens": 640, "elapsed_seconds": 6.847015584004112, "metadata": {"question": "If the customer adds two more units of Product XYZ while the unit price and tax rate stay the same, what will the revised invoice total be? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.8558}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 55, "image": "4d261616-1f0b-4f51-8ebe-eaee7b84825e_png.rf.e8a48b995002e60e7809ef941602370f.jpg", "expected": "left side", "predicted": "left side", "correct": true, "input_tokens": 1162, "output_tokens": 426, "elapsed_seconds": 5.896009917021729, "metadata": {"question": "From the perspective of a driver seated inside and facing forward, which side of the car contains the visible damage? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.9093}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 56, "image": "7d7e098f-4a0d-4864-b2ea-d57988d4d061_png.rf.950712e3033a1d927b27752329326738.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1180, "output_tokens": 1043, "elapsed_seconds": 13.900836916989647, "metadata": {"question": "From the perspective of a driver inside the blue SUV at the bottom of the image looking forward, on which side of their vehicle is the yellow Mazda? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 14.0246}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 57, "image": "19f45907-d682-40cf-bb87-9133dc873871_png.rf.8d5ae1def0513a436febceba4ca296a6.jpg", "expected": "left hand", "predicted": "left hand", "correct": true, "input_tokens": 1195, "output_tokens": 281, "elapsed_seconds": 4.641328042023815, "metadata": {"question": "Based on the visible features and orientation of the hand pressing the button, which of the person's hands is being used? Choose one: left hand or right hand.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.6659}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 58, "image": "347cb08d-5018-4506-8ff7-6052b5215bee_png.rf.f2241527449eeba4edc25991a9428857.jpg", "expected": "19190.95", "predicted": "19190.95", "correct": true, "input_tokens": 1199, "output_tokens": 555, "elapsed_seconds": 7.287955165957101, "metadata": {"question": "If the e-transfer withdrawal to 'budget AUTO glass' on July 15 had not occurred, what would the final balance be after the transaction on July 16? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.3166}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 59, "image": "6bdb57de-1206-40d4-a60a-1ac4c22a0468_png.rf.a9d75682ae8f6507d6225b4fa0e1d7f6.jpg", "expected": "right side", "predicted": "right side", "correct": true, "input_tokens": 1177, "output_tokens": 370, "elapsed_seconds": 5.760260249953717, "metadata": {"question": "From the perspective of the driver sitting inside the vehicle looking forward, on which side of the dashboard is the plush toy located? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.7874}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 60, "image": "97a91186-1382-40c6-8e10-ca36e7a94269_png.rf.f9de5fd2b340b608eb21d6e7fc1d9949.jpg", "expected": "parallel", "predicted": "parallel", "correct": true, "input_tokens": 1186, "output_tokens": 334, "elapsed_seconds": 7.197585416026413, "metadata": {"question": "Consider the log currently held in the grapple above the pile. Is its long axis oriented parallel or perpendicular to the logs stacked in the pile? Choose one: parallel or perpendicular.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.2184}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 61, "image": "68b07f85-3cf2-4e70-af98-06ef0c9d2c58_png.rf.d63e64af870bba743f8c88c43567124d.jpg", "expected": "unloading", "predicted": "loading", "correct": false, "input_tokens": 1168, "output_tokens": 1862, "elapsed_seconds": 28.613474374986254, "metadata": {"question": "Based on the worker's posture and direction of movement, is he loading the stack of red crates into the truck or unloading them from the truck? Choose one: loading or unloading.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 28.6666}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 62, "image": "db85c5c8-8aa2-4f36-93dd-7f73a9c7b9c0_png.rf.d13c340009833ccd6defe35016843595.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1186, "output_tokens": 416, "elapsed_seconds": 7.203860374982469, "metadata": {"question": "From the perspective of a driver sitting inside the car and looking forward, on which side of the vehicle is the 'SPORT' badge located? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.2581}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 63, "image": "2e1a4d87-f03c-4189-9406-7968664edda2_png.rf.7605c122843447cd3cbdda9bfc61fe25.jpg", "expected": "2700.00", "predicted": "2700.00", "correct": true, "input_tokens": 1192, "output_tokens": 591, "elapsed_seconds": 8.553234082995914, "metadata": {"question": "If the same supplier shipped 100 additional cartons of head gear at the same average per-carton weight implied by this invoice, what would the new total gross weight be in kilograms? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.5989}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 64, "image": "2e15743f-6bc8-4cce-8ec0-66eea3a6ca2f_png.rf.dff2a916b2154426e2043eda4cd591dd.jpg", "expected": "5", "predicted": "3", "correct": false, "input_tokens": 1176, "output_tokens": 1867, "elapsed_seconds": 24.383584292023443, "metadata": {"question": "How many vertical columns in the vending machine contain at least one Pepsi can? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 24.4246}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 65, "image": "3f655000-3416-4906-8785-f716a5195996_png.rf.43d1001a93452d12ad70e047d2c6ed7e.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1184, "output_tokens": 427, "elapsed_seconds": 7.157493417034857, "metadata": {"question": "If you want to prepare breakfast plates that each require exactly 2 eggs and half an apple, what is the maximum number of such plates you can complete using only the visible eggs and apples? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.2612}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 66, "image": "4b1a9f4a-6b60-4350-b603-55755b49eaa7_png.rf.1a82163a0fad58cd34885043f4c4eb55.jpg", "expected": "15", "predicted": "15", "correct": true, "input_tokens": 1174, "output_tokens": 535, "elapsed_seconds": 5.948534582974389, "metadata": {"question": "At V_DS = 10 V, what is the approximate increase in drain current when V_GS rises from 6 V to 7 V? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.9705}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 67, "image": "0b0da260-9ab1-48b3-a909-03dc21a83345_png.rf.be24612c532b032d65b0228f30386968.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1179, "output_tokens": 625, "elapsed_seconds": 8.711224041995592, "metadata": {"question": "If you need to retrieve the box sealed with blue tape, what is the minimum number of other boxes you must remove first so that it is completely unobstructed from above? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.8037}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 68, "image": "214d5a30-f38a-4509-bd53-1e3ea49f9c8b_png.rf.adb2216acfcf57012a8ae573e973f1ca.jpg", "expected": "11.80", "predicted": "11.80", "correct": true, "input_tokens": 1156, "output_tokens": 722, "elapsed_seconds": 9.049519375083037, "metadata": {"question": "What is the total amount of GST commission charges (NEFT-GST-COMMISSION) debited on September 15, 2025? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.1151}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 69, "image": "a605175c-be9c-4e9b-8f69-540e233aa5e8_png.rf.3f3d5135536b2e36c9325081fe4f36ee.jpg", "expected": "left side", "predicted": "left side", "correct": true, "input_tokens": 1202, "output_tokens": 315, "elapsed_seconds": 5.735960707999766, "metadata": {"question": "Based on the position of the wheel and the wrapping of the bumper, which side of the vehicle (from the perspective of a driver sitting inside and looking forward) is damaged? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.7701}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 70, "image": "01d2cf72-1e3e-425b-8743-ef01ca46252d_png.rf.3f9dc60e26c06dbdc9181e5b067126a0.jpg", "expected": "46.2%", "predicted": "46.2%", "correct": true, "input_tokens": 1172, "output_tokens": 628, "elapsed_seconds": 7.012209416017868, "metadata": {"question": "Based on the nutritional information per 100g, what percentage of the total fat is saturated fat? Answer with a percentage rounded to one decimal place.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.0325}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 71, "image": "423751b4-264a-4fed-acd4-7432a257389d_png.rf.aca151f72457b1604c2dc4b92bce1c2e.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1182, "output_tokens": 546, "elapsed_seconds": 6.75182450003922, "metadata": {"question": "Based on the technical drawing, what is the total tolerance range (the difference between the maximum and minimum allowable values) for the dimension associated with balloon 24? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.7807}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 72, "image": "86827a6f-9148-40bc-84eb-1f26a69fb426_png.rf.7a36b6597b39ee2cb27e013247477184.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1162, "output_tokens": 564, "elapsed_seconds": 7.476881375070661, "metadata": {"question": "From the perspective of a driver sitting inside the white truck in the foreground and looking forward, on which side of their vehicle is the black SUV? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.5086}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 73, "image": "dfe78d58-fa15-49ac-8673-04b364aaf8f6_png.rf.343b9ddb4be588f14fa49047c656c256.jpg", "expected": "opposite side", "predicted": "same side", "correct": false, "input_tokens": 1197, "output_tokens": 4518, "elapsed_seconds": 56.96349362505134, "metadata": {"question": "Based on the direction of the shadows cast on the dock, is the sun located on the same side of the ship as the dock, or on the opposite side of the ship? Choose one: same side, or opposite side.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 57.0196}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 74, "image": "85119d73-c38d-44d4-80b9-f7cfc4848029_png.rf.6faf117b9b48a03e7226813130cb8c31.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1203, "output_tokens": 1362, "elapsed_seconds": 16.935698749963194, "metadata": {"question": "Treat each occupied compartment as one movable stack. What is the minimum number of whole stacks that must be moved so that no two adjacent occupied compartments contain the same color? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 16.968}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 75, "image": "73825c5f-4954-4824-8572-64ed5602323c_png.rf.fac850718e77f19df27b7bf90d021ba7.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1146, "output_tokens": 282, "elapsed_seconds": 4.69287833396811, "metadata": {"question": "What is the minimum number of doors a person must pass through to travel from Bedroom 2 to Bedroom 4? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.7068}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 76, "image": "ea00a7d2-1d73-45a3-8950-7f911a746913_png.rf.6d8d4591e8c887c3d43e174e43cfd621.jpg", "expected": "24", "predicted": "24", "correct": true, "input_tokens": 1154, "output_tokens": 629, "elapsed_seconds": 7.546177124953829, "metadata": {"question": "Based on the 'Hired From' and 'Hired To' dates listed under Employment Data, for how many full years was the subject employed at SOLAR TRADE? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.5633}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 77, "image": "e8894dda-fd01-4e8f-b233-7aa1c6924174_png.rf.f8d49103c494c77bf0b4a1c79b12bd32.jpg", "expected": "145", "predicted": "145", "correct": true, "input_tokens": 1161, "output_tokens": 248, "elapsed_seconds": 5.088355624931864, "metadata": {"question": "What is the difference in grams between the target weight indicated in the product name and the actual net quantity of this muskmelon? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.1334}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 78, "image": "29f47b83-0092-4736-a8e7-b3ef23a92354_png.rf.fb2f7e6c321affb606a4919b6a7433ae.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1178, "output_tokens": 175, "elapsed_seconds": 3.2261743750423193, "metadata": {"question": "Based on the handwritten dates at the top of the form, how many days elapse between the date the document was written and its effective date? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.2411}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 79, "image": "5cf55f37-8adb-4adb-9520-148340548028_png.rf.e1605fd47b5ae75ba9c34cdcde09e17c.jpg", "expected": "July 10, 2016", "predicted": "July 10, 2016", "correct": true, "input_tokens": 1204, "output_tokens": 1227, "elapsed_seconds": 16.226721040904522, "metadata": {"question": "According to the payment terms and the invoice date, when is payment due? Choose one: June 10, 2016; July 10, 2016; July 5, 2016; August 10, 2016.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 16.2446}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 80, "image": "dae8c81a-4de4-4ef4-9301-25ca1ba03574_png.rf.d6aaed535d1e3ed00116c2b44301deea.jpg", "expected": "away", "predicted": "toward", "correct": false, "input_tokens": 1196, "output_tokens": 1563, "elapsed_seconds": 21.45672433299478, "metadata": {"question": "If a worker grabbed the yellow pallet jack's handle and pulled it straight in the direction the handle currently points, would the jack move generally toward the central packing table or away from it? Choose one: toward or away.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 21.5114}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 81, "image": "9056e25e-2e7e-4746-b766-49e5c6aa52df_png.rf.9e357fa580bcb749370734803ddf5655.jpg", "expected": "left side", "predicted": "left side", "correct": true, "input_tokens": 1181, "output_tokens": 326, "elapsed_seconds": 6.502367459004745, "metadata": {"question": "Based on the door handle's position relative to the vertical seam and the wheel arch at the bottom, which side of the vehicle is shown (from the perspective of a passenger sitting inside and facing forward)? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.551}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 82, "image": "47ad34a1-d784-48fd-bf0b-9814791703e3_png.rf.0d90c040409da9a682d9d7db5b14476f.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1162, "output_tokens": 614, "elapsed_seconds": 11.358162416960113, "metadata": {"question": "If the Mercedes moves exactly one lane to its left, would it enter the same lane currently occupied by the smaller black car ahead? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.4313}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 83, "image": "0f7a1b1b-b0f9-4dba-9659-0455701b7a3f_png.rf.28278968509f5982105a211e62ac44b1.jpg", "expected": "yes", "predicted": "yes", "correct": true, "input_tokens": 1141, "output_tokens": 482, "elapsed_seconds": 5.442258500028402, "metadata": {"question": "Would improving only the attributes currently rated 4 be sufficient to make every listed attribute receive the highest rating? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.4582}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 84, "image": "0f7a1b1b-b0f9-4dba-9659-0455701b7a3f_png.rf.28278968509f5982105a211e62ac44b1.jpg", "expected": "4.5", "predicted": "4.5", "correct": true, "input_tokens": 1139, "output_tokens": 402, "elapsed_seconds": 4.938699749996886, "metadata": {"question": "What is the average score of the attributes associated with PO11? Answer with a number rounded to one decimal place.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.9534}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 85, "image": "be797fcf-056b-44b2-a1da-b667c3185959_png.rf.29cfb688a5b86d169cb8732bb04f0f72.jpg", "expected": "22", "predicted": "23", "correct": false, "input_tokens": 1166, "output_tokens": 4062, "elapsed_seconds": 45.31818833295256, "metadata": {"question": "If the black tray in the foreground has a total capacity of 10 rows with 5 slots per row, how many more devices are needed to completely fill it? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 45.3736}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 86, "image": "861cb64d-800a-4635-999c-739199f8b473_png.rf.c6b83038f9d574bf6dccf2b1554017ec.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1170, "output_tokens": 418, "elapsed_seconds": 5.30366408394184, "metadata": {"question": "Based on the date of the letter and the details provided in the text, how many days are expected to elapse between the date the check was mailed and the date MDA is expected to receive it? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.3228}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 87, "image": "22c3fc7f-6563-4f41-8eac-8c7d425b5633_png.rf.2dd8b94855832744d13e2f1185950566.jpg", "expected": "18", "predicted": "18", "correct": true, "input_tokens": 1173, "output_tokens": 791, "elapsed_seconds": 9.172121791983955, "metadata": {"question": "Based on the manpower details table, what is the total number of normal hours (NOR) worked by all listed employees combined on this day? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.2062}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 88, "image": "e47241e5-70ca-420f-9c96-05b3095ff135_png.rf.7a32ff91ffc2f7aad43c713c84c3052b.jpg", "expected": "G003...80", "predicted": "G003...80", "correct": true, "input_tokens": 1227, "output_tokens": 540, "elapsed_seconds": 6.412306959042326, "metadata": {"question": "A designer needs a resistor with a resistance of 2.0 k\u03a9 and a tolerance of \u00b10.05%. Based on the specifications, what is the Global Model of the lightest resistor that meets these requirements? Choose one: G001...80, G002, G003...80, or G005.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.4627}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 89, "image": "1c9d39fb-7707-4058-8d39-5ef46b4d46bf_png.rf.3c3842ab73120c2d5d767bf08e3b9b44.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1186, "output_tokens": 426, "elapsed_seconds": 6.763350332970731, "metadata": {"question": "From the perspective of the driver seated inside the white pickup and facing its direction of travel, on which side of the truck is the pedestrian? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.8248}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 90, "image": "2d031b53-a61c-4de0-b98e-52b14a4c6fcc_png.rf.1abec44486981464bee69aff5fc4acdd.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1158, "output_tokens": 1031, "elapsed_seconds": 12.15860845905263, "metadata": {"question": "Assuming each of the two pizzas on the warming station was originally cut into 6 equal slices, how many slices in total have been sold? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 12.189}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 91, "image": "d06e0e70-1bed-4998-bcd4-bc8eccac71d3_png.rf.bd4e209d1eda6cadcb0362c0e61a56a0.jpg", "expected": "253730", "predicted": "253730", "correct": true, "input_tokens": 1183, "output_tokens": 585, "elapsed_seconds": 7.452152417041361, "metadata": {"question": "Using a rule of Medium priority before Low priority, then earliest Created Date to break a tie, which visible ticket should be handled next? Answer with ticket ID.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.4862}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 92, "image": "d06e0e70-1bed-4998-bcd4-bc8eccac71d3_png.rf.bd4e209d1eda6cadcb0362c0e61a56a0.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1182, "output_tokens": 579, "elapsed_seconds": 7.148595666978508, "metadata": {"question": "What is the time difference in hours between the earliest and latest tickets created on Apr 6, 2026? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.1822}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 93, "image": "b3f197fe-81ad-4fc1-bd69-d3b01d48b2b8_png.rf.5abbc57e2abc00bdf8184ff41d45e10c.jpg", "expected": "right hand", "predicted": "left hand", "correct": false, "input_tokens": 1145, "output_tokens": 2718, "elapsed_seconds": 37.08193129207939, "metadata": {"question": "Based on the position of the thumb and fingers, which hand is the operator using to hold the scanner? Choose one: left hand or right hand.", "strict_correct": false, "judge_correct": false, "attempts": 2, "retries": 1, "total_seconds": 100.1126, "transient_errors": ["RemoteProtocolError"]}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 94, "image": "b3f197fe-81ad-4fc1-bd69-d3b01d48b2b8_png.rf.5abbc57e2abc00bdf8184ff41d45e10c.jpg", "expected": "up", "predicted": "up", "correct": true, "input_tokens": 1163, "output_tokens": 383, "elapsed_seconds": 6.3460600830148906, "metadata": {"question": "Keeping the scanner at its current tilt so the beam stays horizontal, in which direction should the worker shift the beam so it crosses a barcode's bars perpendicularly and can decode it? Choose one: up, down, left, or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.4272}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 95, "image": "0d8b9fdc-32fc-4324-9e81-414d7762982a_png.rf.10e3ab24f0cc229fc194f19150a9088a.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1167, "output_tokens": 402, "elapsed_seconds": 5.471225582994521, "metadata": {"question": "Which room number becomes completely isolated from all other rooms if the sliding door SD is closed? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.491}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 96, "image": "0d8b9fdc-32fc-4324-9e81-414d7762982a_png.rf.10e3ab24f0cc229fc194f19150a9088a.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1174, "output_tokens": 603, "elapsed_seconds": 9.559650041046552, "metadata": {"question": "What is the minimum number of doors a person must pass through to travel from BedRoom 2 to BathRoom 5? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.5799}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 97, "image": "56b1bbe0-a003-4ba6-8cb2-08dd2f74a08a_png.rf.48d53e8f7bf6d0dbcf9eb16889b0777a.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1177, "output_tokens": 176, "elapsed_seconds": 3.2670020840596408, "metadata": {"question": "Based on the relative timestamps shown in the screenshot of the thread, how many hours after Benji Taylor's post did Paul Macgregor post his response? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.2806}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 98, "image": "c2dd6dca-767e-4fe1-8dfb-ead3a37507db_png.rf.96bbfed9aead2bbd919d3b4c1237287a.jpg", "expected": "1.3%", "predicted": "1.3%", "correct": true, "input_tokens": 1178, "output_tokens": 1122, "elapsed_seconds": 16.23043866700027, "metadata": {"question": "Comparing the loading units and offloading units recorded on the note, what percentage of the loaded manganese ore fines was lost in transit? Answer with a percentage rounded to one decimal place.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 16.2768}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 99, "image": "c2dd6dca-767e-4fe1-8dfb-ead3a37507db_png.rf.96bbfed9aead2bbd919d3b4c1237287a.jpg", "expected": "520", "predicted": "520", "correct": true, "input_tokens": 1167, "output_tokens": 408, "elapsed_seconds": 7.130550417001359, "metadata": {"question": "What is the difference between the loading units and the offloading units recorded on this delivery note? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.1748}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 100, "image": "d8552ab5-9930-4bd4-a00c-0f4adbeb76e4_png.rf.fc1f316aa3e9348a20e81d0e619cfa66.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1183, "output_tokens": 1838, "elapsed_seconds": 23.649962791008875, "metadata": {"question": "If this document is folded exactly in half by bringing the top edge down to meet the bottom edge, will the two punched holes on the left margin align to overlap each other? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 23.6668}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 101, "image": "42990fe8-872a-4d4e-a1f9-7926a990b803_png.rf.542a9bb854b1ddec7ea9b3c71f102c32.jpg", "expected": "13", "predicted": "13", "correct": true, "input_tokens": 1140, "output_tokens": 485, "elapsed_seconds": 5.952807332971133, "metadata": {"question": "What is the difference between the number of recorded heights that are at least 150 centimetres and those that are under 142 centimetres? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.9576}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 102, "image": "bcf2178d-166f-4ae9-a0ef-40c03e873d7b_png.rf.45781833e957384c1cc81ae703e548a8.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1187, "output_tokens": 787, "elapsed_seconds": 11.255790875060484, "metadata": {"question": "Judging from the direction traffic travels on this roadway, which barrier are the two crashed SUVs resting against from the perspective of drivers on this road? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.299}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 103, "image": "e8acc7bd-43d8-4902-8871-758a81216657_png.rf.3fdb3f122bcab387f522f1113b53a202.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1193, "output_tokens": 931, "elapsed_seconds": 11.45579445909243, "metadata": {"question": "A goaltender standing in the crease of the visible net faces up-ice toward the oncoming play. Are the majority of the green-jerseyed players currently on his left side? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.5119}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 104, "image": "c9dbd271-e8bd-4a4c-9d90-dcc53a4910f6_png.rf.7b116829f9e80042e6ff64cae0ce75bd.jpg", "expected": "18", "predicted": "18", "correct": true, "input_tokens": 1193, "output_tokens": 1300, "elapsed_seconds": 14.595092208939604, "metadata": {"question": "Using standard chess piece values where a pawn is 1 point, a bishop or knight is 3 points, and a rook is 5 points, what is the total point value of the captured white pieces set aside on the right? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 14.6294}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 105, "image": "4409ba1c-5b55-47e4-8fb3-ed245021d0bb_png.rf.274f7c4fb87e3efa82cd64b8840d0de7.jpg", "expected": "75.00", "predicted": "75.00", "correct": true, "input_tokens": 1151, "output_tokens": 544, "elapsed_seconds": 6.794269541045651, "metadata": {"question": "If the customer had decided to keep the Lipsy Bikini Bottoms instead of returning them, what would the total refunded amount be? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.8399}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 106, "image": "dc0f068d-8a08-4674-8415-973756621fea_png.rf.e7ad2a97bf4cfd59534ddd786e1bfa09.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1180, "output_tokens": 1398, "elapsed_seconds": 12.309001874993555, "metadata": {"question": "What is the difference between the number of times 'C' is marked and the number of times 'D' is marked on this sheet? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 12.3121}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 107, "image": "fd40be2e-2c23-4d4f-9af8-bee299b30fb0_png.rf.d32862e3f7c08fa121abceaa35a724bf.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1142, "output_tokens": 1009, "elapsed_seconds": 10.83919412503019, "metadata": {"question": "How many of the 9 columns in the vending machine contain at least one bottle with a green cap? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.8876}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 108, "image": "39e13a5d-7f3d-4cb3-b99e-5a31236bdb32_png.rf.ac7593ea805bf54030232955f3054140.jpg", "expected": "38", "predicted": "38", "correct": true, "input_tokens": 1155, "output_tokens": 990, "elapsed_seconds": 9.020803250023164, "metadata": {"question": "If we want to fill the display cabinet so that every compartment contains exactly one car, how many additional cars must be added? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.0257}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 109, "image": "ed033e2a-4072-4930-98ed-35aa45aee1d9_png.rf.3b133b1ed5ad005654d6d55fde0e6a80.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1178, "output_tokens": 768, "elapsed_seconds": 10.47864662494976, "metadata": {"question": "From the perspective of a driver sitting inside the cab of the dump truck with the green tarp and looking forward, which side door of the cab is open? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.5383}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 110, "image": "25e6ed9c-2d37-4533-8021-977770aa97d1_png.rf.5e4c7a4776bb280dedd569d309846abd.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1182, "output_tokens": 351, "elapsed_seconds": 5.175289999926463, "metadata": {"question": "Without adding or removing any cylinders, can the load be rearranged so that all four horizontal rows contain exactly the same number of cylinders? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.2213}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 111, "image": "17a88e1e-fb1c-46f0-8620-8f19854b8fff_png.rf.e4fb269a60ea85233a7bdd3d43ef4aa1.jpg", "expected": "right side", "predicted": "right side", "correct": true, "input_tokens": 1195, "output_tokens": 311, "elapsed_seconds": 5.319265290978365, "metadata": {"question": "Based on the relative positions of the wheel and the front fog light, which side of the vehicle (from the perspective of a driver sitting inside and looking forward) is damaged? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.3403}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 112, "image": "3a1d4bd3-6db0-4cda-881d-e9ae4c194abb_png.rf.34d91902d10ee43e73241d5a9df8fa98.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1157, "output_tokens": 534, "elapsed_seconds": 8.963391792029142, "metadata": {"question": "From the perspective of an officer sitting in the driver's seat of this SUV and facing forward, on which side of the vehicle is the person in the hooded sweatshirt standing? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.033}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 113, "image": "0c721c3c-19a5-4857-89af-7d480d1a8ad6_png.rf.d4d68898257830e57382ff91e2ca4912.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1185, "output_tokens": 3398, "elapsed_seconds": 29.003493541968055, "metadata": {"question": "A patient must take medication only on odd-numbered days of the week (days 1, 3, 5, and 7), leaving even-numbered days (days 2, 4, and 6) empty. How many of the 28 trays are prepared exactly according to this schedule? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 29.069}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 114, "image": "0c721c3c-19a5-4857-89af-7d480d1a8ad6_png.rf.d4d68898257830e57382ff91e2ca4912.jpg", "expected": "8", "predicted": "8", "correct": true, "input_tokens": 1154, "output_tokens": 4708, "elapsed_seconds": 36.173926957999356, "metadata": {"question": "A patient must take medication every day of the week, with all seven days filled. How many of the 28 trays are prepared exactly according to this schedule? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 36.2399}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 115, "image": "fd7145ce-ff54-42eb-b555-006479012309_png.rf.b64dc2701743bae035f831b7e381d8a1.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1162, "output_tokens": 355, "elapsed_seconds": 4.896529083023779, "metadata": {"question": "Based on the handwritten entries in the rent table, how many of the listed periods have a base monthly rent of exactly $2500.00? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.9171}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 116, "image": "62bb473c-8343-402f-a809-8a36d42884ff_png.rf.979d16777be23bdc0037837ff45a8b29.jpg", "expected": "14", "predicted": "14", "correct": true, "input_tokens": 1196, "output_tokens": 1607, "elapsed_seconds": 16.835464915959165, "metadata": {"question": "If a fully stocked column in this tray contains exactly 7 ice creams, how many additional ice creams are needed to fully stock all 7 columns (numbered 31 through 37)? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 16.8864}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 117, "image": "94bfcdd8-0a2b-4903-95da-34fea7e1899c_png.rf.73c78580b0e05542ed686abf5b77f46d.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1151, "output_tokens": 307, "elapsed_seconds": 5.0521500000031665, "metadata": {"question": "Based on the printed date of birth and date of expiry, will the cardholder have already turned 40 years old by the time this card expires? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.1108}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 118, "image": "b8891395-36f3-42e5-a1d2-616a922e0771_png.rf.b7e3860f9d0d9ab3e7f7fd0a6742a738.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1165, "output_tokens": 1337, "elapsed_seconds": 18.30085424997378, "metadata": {"question": "Before the pharmacist can sweep the loose capsules on the tray surface into the transparent channel at the top, must the clear cover first be lifted open? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 18.3892}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 119, "image": "7315cbf8-64fb-436e-8446-d2f061545df7_png.rf.6f038540710afe5f888b22200ca39932.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1138, "output_tokens": 1039, "elapsed_seconds": 18.094150874996558, "metadata": {"question": "What is the minimum number of additional dominoes needed so that all five visible tiles can be used in one valid matching chain? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 18.147}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 120, "image": "7315cbf8-64fb-436e-8446-d2f061545df7_png.rf.6f038540710afe5f888b22200ca39932.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1146, "output_tokens": 1096, "elapsed_seconds": 12.268808958004229, "metadata": {"question": "If no new dominoes may be added, what is the minimum number of visible tiles that must be left out to arrange all the others as one valid matching chain? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 12.3204}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 121, "image": "7315cbf8-64fb-436e-8446-d2f061545df7_png.rf.6f038540710afe5f888b22200ca39932.jpg", "expected": "8", "predicted": "8", "correct": true, "input_tokens": 1138, "output_tokens": 551, "elapsed_seconds": 7.288429500069469, "metadata": {"question": "What is the total number of dots (pips) across all the dominoes that have at least one completely blank half? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.3505}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 122, "image": "841a0a03-fb48-4b1b-8e75-8abef424a913_png.rf.f11c6efbf5e3b71b7477a83694d80fce.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1154, "output_tokens": 310, "elapsed_seconds": 5.649916541064158, "metadata": {"question": "If the container is carrying 28,000 kg of cargo, can an additional 900 kg shipment be loaded without exceeding the stated payload limit? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.729}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 123, "image": "ddb36742-789d-4a6f-a256-5998c9acd5cd_png.rf.f0ede67f0e9f049e1f036fb52b97641d.jpg", "expected": "4.40", "predicted": "4.40", "correct": true, "input_tokens": 1127, "output_tokens": 1674, "elapsed_seconds": 15.378416417050175, "metadata": {"question": "Based on the regular prices listed on the receipt, how much total money was saved on the discounted items compared to their regular prices? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 15.4211}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 124, "image": "3cd889b7-4626-47fe-af90-b98b2d5ffdfc_png.rf.7515e2b89f3d7561f907f84154e00de5.jpg", "expected": "3921.09", "predicted": "3921.09", "correct": true, "input_tokens": 1195, "output_tokens": 2337, "elapsed_seconds": 27.08129249990452, "metadata": {"question": "Among the seven individual items listed in the table on this page, what is the sum of the amounts for the items that expire in the year 2028? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 27.141}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 125, "image": "3cd889b7-4626-47fe-af90-b98b2d5ffdfc_png.rf.7515e2b89f3d7561f907f84154e00de5.jpg", "expected": "15", "predicted": "15", "correct": true, "input_tokens": 1188, "output_tokens": 842, "elapsed_seconds": 10.297145499964245, "metadata": {"question": "Among the seven individual items listed in the table on this page, what is the total quantity of items that have a discount of 6.00%? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.342}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 126, "image": "f035f306-754e-4ab9-bd14-80de6cb9353f_png.rf.463bdd12d569cb3ed06ddefa4f7c0544.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1141, "output_tokens": 635, "elapsed_seconds": 8.618788957945071, "metadata": {"question": "If you group all the visible beans into sets of three, how many beans will remain ungrouped? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.683}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 127, "image": "32beea2c-22a7-4032-9914-2b8af79a6ca6_png.rf.afa9d4a51e3264b766523b0b6c43118f.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1164, "output_tokens": 280, "elapsed_seconds": 4.75058237509802, "metadata": {"question": "Does the circled total score in red at the bottom-left corner equal the sum of all individual question scores marked in red on this page? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.7756}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 128, "image": "1b4e5426-d109-4398-8e45-ab1dc497980f_png.rf.da896199922990bcefe9fec6ce57cec6.jpg", "expected": "11", "predicted": "11", "correct": true, "input_tokens": 1190, "output_tokens": 867, "elapsed_seconds": 8.021930249989964, "metadata": {"question": "If each correct red-circled response earns one point and the blue worked example is excluded, what is the student's score out of 12? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.0453}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 129, "image": "864cf752-35ed-44ca-9e73-a27ba19cecb3_png.rf.d9a6b6882d7d84ae1066efdb3590df46.jpg", "expected": "12", "predicted": "12", "correct": true, "input_tokens": 1182, "output_tokens": 626, "elapsed_seconds": 9.183005791972391, "metadata": {"question": "If the player currently holding the ball successfully shoots and scores from her current position, what will Washington's total score become? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.219}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 130, "image": "bffbaa49-7832-430e-995d-4db0336f7444_png.rf.705666d967baf405ca5b8c91e2e291d1.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1167, "output_tokens": 1135, "elapsed_seconds": 13.716116667026654, "metadata": {"question": "If three nuts are allocated to one mounting job, can five complete mounting jobs be supplied from the visible nuts? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 13.7642}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 131, "image": "3cc9dff1-0e00-4900-9013-00d7b1be6a09_png.rf.4fb05de3247bdec3e1119e997d8f465b.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1206, "output_tokens": 2430, "elapsed_seconds": 27.71011745801661, "metadata": {"question": "Based on the runners' current positions relative to the finish line on the right, which lane contains the runner currently in second place? Answer with a single integer, counting lanes from top (Lane 1) to bottom (Lane 8).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 27.7281}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 132, "image": "4963b4c1-9126-48bc-ac30-e28cf692d079_png.rf.b0fe0fbf8e74b310187bebdb4e04529c.jpg", "expected": "right side", "predicted": "right side", "correct": true, "input_tokens": 1190, "output_tokens": 408, "elapsed_seconds": 9.014009333099239, "metadata": {"question": "Based on the visible wheel and headlight positions, which front side of the vehicle has the scuffed fender from the driver's forward-facing perspective? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.1104}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 133, "image": "6b1464af-2a20-4dc1-9b69-67b163aad58b_png.rf.5558871ebbc74585da7539ae1c82803b.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1158, "output_tokens": 1661, "elapsed_seconds": 16.74385666695889, "metadata": {"question": "Identify the column in the seedling tray that contains the longest continuous vertical sequence of empty plugs (containing only soil with no sprouted seedlings). How many empty plugs are in this longest sequence? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 16.8359}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 134, "image": "6b1464af-2a20-4dc1-9b69-67b163aad58b_png.rf.5558871ebbc74585da7539ae1c82803b.jpg", "expected": "top half", "predicted": "top half", "correct": true, "input_tokens": 1163, "output_tokens": 2995, "elapsed_seconds": 25.910017917049117, "metadata": {"question": "If the seedling tray is divided horizontally into a top half (rows 1 to 6) and a bottom half (rows 7 to 12), which half contains more empty plugs? Choose one: top half or bottom half.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 25.9862}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 135, "image": "dea1a5c6-1f2e-4b07-946a-898cd8732f5f_png.rf.2317c0f63fa82df7683229a1fb7f5cd0.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1135, "output_tokens": 511, "elapsed_seconds": 8.445777999935672, "metadata": {"question": "How many shelves in the vending machine are stocked exclusively with water bottles? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.533}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 136, "image": "93bf4bd9-63d1-4a73-97c8-e0e904fd029c_png.rf.c1d6a7530844ca542169fdee4d809e3e.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1145, "output_tokens": 360, "elapsed_seconds": 7.840581208933145, "metadata": {"question": "If the pressure rises by 1 bar from the gauge's current reading, would the needle enter the red warning band? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.9293}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 137, "image": "47352e6f-33b7-4c16-a520-03c8afe4c357_png.rf.4232d80b4b83ee4ee01af34332beae25.jpg", "expected": "on top", "predicted": "on top", "correct": true, "input_tokens": 1176, "output_tokens": 653, "elapsed_seconds": 10.323549457942136, "metadata": {"question": "Between the two crossed straight pins with black heads, does the pin with its black head at the bottom-right lie on top of or underneath the other pin? Choose one: on top or underneath.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.4108}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 138, "image": "40a321ee-89d8-4846-a3cf-b01413e971a3_png.rf.fbb996228d647f5d917d28665d8698db.jpg", "expected": "lower right", "predicted": "lower right", "correct": true, "input_tokens": 1168, "output_tokens": 656, "elapsed_seconds": 10.339275250094943, "metadata": {"question": "Based on the long shadows cast by the cattle, from which direction in the image is the sunlight coming? Choose one: upper left, upper right, lower left, or lower right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.3823}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 139, "image": "9c949507-b9b3-4a20-b76b-24512aedea5e_png.rf.450473e96e9282304c85265164cf0d78.jpg", "expected": "increase", "predicted": "increase", "correct": true, "input_tokens": 1145, "output_tokens": 268, "elapsed_seconds": 6.59653150010854, "metadata": {"question": "To move the indicated pressure into the green operating band using the smallest change, should the pressure be increased or decreased? Choose one: increase or decrease.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.6898}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 140, "image": "e3685148-49ec-4ad2-9f50-8d9133ce35cd_png.rf.b2bbd5b99df26d40ae43a5cd2cf549c7.jpg", "expected": "no", "predicted": "no", "correct": true, "input_tokens": 1155, "output_tokens": 3500, "elapsed_seconds": 42.195302625070326, "metadata": {"question": "If a customer has a budget of 30.00 \u20ac, do they have enough money to buy one box of Berocca Boost and one box of Berocca Energie? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 3, "retries": 2, "total_seconds": 171.7836, "transient_errors": ["RemoteProtocolError", "RemoteProtocolError"]}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 141, "image": "d7a763ce-28eb-4366-9169-d68f30a452b5_png.rf.b74d57acbfc696374bd43af86dc6931d.jpg", "expected": "no", "predicted": "no", "correct": true, "input_tokens": 1159, "output_tokens": 560, "elapsed_seconds": 8.26367695897352, "metadata": {"question": "Can a person travel from the Chambre to the Cuisine without entering the Salon? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.3204}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 142, "image": "d7a763ce-28eb-4366-9169-d68f30a452b5_png.rf.b74d57acbfc696374bd43af86dc6931d.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1169, "output_tokens": 450, "elapsed_seconds": 6.706264625070617, "metadata": {"question": "Starting from outside the apartment, what is the minimum number of doors a person must pass through to enter the SDB? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.781}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 143, "image": "c46b41e5-447a-47dd-8780-7877ae92faef_png.rf.baa63153d8d89462d240f65b8eda302b.jpg", "expected": "correct lane", "predicted": "correct lane", "correct": true, "input_tokens": 1182, "output_tokens": 2342, "elapsed_seconds": 28.617337667034008, "metadata": {"question": "Based on standard United States road marking rules, is this vehicle driving in the correct lane or the oncoming lane? Choose one: correct lane or oncoming lane.", "strict_correct": true, "judge_correct": true, "attempts": 2, "retries": 1, "total_seconds": 91.7415, "transient_errors": ["RemoteProtocolError"]}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 144, "image": "ac750e7d-de93-4813-828d-409d16bd176b_png.rf.6559b085ab129da83454776a9ff2f3c3.jpg", "expected": "20", "predicted": "20", "correct": true, "input_tokens": 1155, "output_tokens": 436, "elapsed_seconds": 6.5422763749957085, "metadata": {"question": "Based on the handwritten corrections, what is the difference between the original printed total number of events and the revised number of events? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.5553}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 145, "image": "76b25762-3b57-4158-9fab-945416165ada_png.rf.9990ab2a22469b04a599b81d43f7c09d.jpg", "expected": "118.00", "predicted": "118.00", "correct": true, "input_tokens": 1151, "output_tokens": 892, "elapsed_seconds": 10.522426375071518, "metadata": {"question": "If the ribeye and the Afri Hot Chilli sauce are paid for separately, how much remains for the rest of the bill? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.6098}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 146, "image": "d0b99ce8-8a3b-4d1d-98d4-b34137b19f08_png.rf.135586d63ba8944adf934e8d0cd9cc00.jpg", "expected": "1648", "predicted": "1648", "correct": true, "input_tokens": 1164, "output_tokens": 1008, "elapsed_seconds": 10.498965207953006, "metadata": {"question": "What is the earliest year printed on any of the stamps in this sheet? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.5627}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 147, "image": "c91f10e7-1c18-434d-b9e6-2e570646da9d_png.rf.20b9e5afdcfab594a06be3928964180f.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1180, "output_tokens": 596, "elapsed_seconds": 8.866527333972044, "metadata": {"question": "If a driver without disability parking authorization wanted to use the space occupied by the dark sedan, would parking there be permitted? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.9023}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 148, "image": "8e2f7010-f314-4b13-badc-9a24ecdd1a45_png.rf.6aef955cc77c9959113ec1f1db73b0c3.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1151, "output_tokens": 599, "elapsed_seconds": 9.836789834080264, "metadata": {"question": "From the perspective of the truck driver seated in the cab and looking forward through the windshield, on which side is the large pyramid of blue drums? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.8794}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 149, "image": "76d985c4-8ba2-4660-871b-939bba136896_png.rf.42cd356e987e94c1579c6ffb589f753c.jpg", "expected": "yes", "predicted": "yes", "correct": true, "input_tokens": 1172, "output_tokens": 656, "elapsed_seconds": 9.485691708046943, "metadata": {"question": "If a qualifying shot must land in the 9-ring or closer to the center, has the target recorded at least five qualifying shots? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.5476}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071611", "index": 150, "image": "76d985c4-8ba2-4660-871b-939bba136896_png.rf.42cd356e987e94c1579c6ffb589f753c.jpg", "expected": "60", "predicted": "60", "correct": true, "input_tokens": 1163, "output_tokens": 1404, "elapsed_seconds": 18.335079165990464, "metadata": {"question": "What is the total score of all shots that landed within the black region of the target? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 18.3981}} diff --git a/results/reasoning_gemini-4-argon_high_20261013_071812.jsonl b/results/reasoning_gemini-4-argon_high_20261013_071812.jsonl new file mode 100644 index 0000000..99ee569 --- /dev/null +++ b/results/reasoning_gemini-4-argon_high_20261013_071812.jsonl @@ -0,0 +1,151 @@ +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 0, "image": "85202175-9c3b-4a40-b0a9-3c0d33e250b6_png.rf.9afa602969ee1e53f32d2cd370c4c96b.jpg", "expected": "1", "predicted": "2", "correct": false, "input_tokens": 1157, "output_tokens": 1981, "elapsed_seconds": 24.916697124950588, "metadata": {"question": "If a worker wants to rearrange the five numbered pipes so that their labels are in strictly ascending order from top to bottom, what is the minimum number of pipes that must be moved? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 24.9735}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 1, "image": "4f216ea0-af67-40e1-a226-2884e051db56_png.rf.09105ef6b5dab81d9f1a17fd1c6b2c34.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1147, "output_tokens": 362, "elapsed_seconds": 6.047784416936338, "metadata": {"question": "How many days after the date written on the top right of the letter is the patient's kidney transplant scheduled to take place? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.1073}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 2, "image": "d0980bab-2f15-4550-b3e6-813a2ad7e709_png.rf.46eb3c9c65328046e37275727bbeba8f.jpg", "expected": "1/2", "predicted": "1/2", "correct": true, "input_tokens": 1185, "output_tokens": 358, "elapsed_seconds": 5.697281125001609, "metadata": {"question": "Given that the selected number satisfies condition (iii), what is the probability that it also satisfies condition (iv)? Choose one: 0, 1/4, 1/2, or 1.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.7657}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 3, "image": "85133aaa-d105-42fc-9fb7-95b84cbcead1_png.rf.dd175df27fe32c388e49c027b817bd77.jpg", "expected": "opposite directions", "predicted": "opposite directions", "correct": true, "input_tokens": 1197, "output_tokens": 506, "elapsed_seconds": 9.612096915952861, "metadata": {"question": "In the paved courtyard, a white car and a dark grey sedan are parked side-by-side in the middle. Are these two vehicles parked facing the same direction or opposite directions? Choose one: same direction or opposite directions.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.7077}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 4, "image": "cf479a9e-f37a-4a83-ba88-9c8813100830_png.rf.39718b9777bb616b7fab6dd75e98da87.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1163, "output_tokens": 325, "elapsed_seconds": 7.494064124999568, "metadata": {"question": "From the perspective of the customer standing at the checkout facing the screen, on which side of the scanner is the bagging platform with the plastic bags located? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.5486}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 5, "image": "afb31dc3-8a6d-445f-ac38-f772de2bccd4_png.rf.592a5fece3103b7455dd062f81f25633.jpg", "expected": "upper-left", "predicted": "upper-left", "correct": true, "input_tokens": 1173, "output_tokens": 849, "elapsed_seconds": 16.60617204196751, "metadata": {"question": "Judging by the direction the building shadows point across the block, toward which corner of the image does the sunlight appear to be shining from (i.e., shadows point away from that corner)? Choose one: upper-left, upper-right, lower-left, or lower-right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 16.683}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 6, "image": "52dc8fa9-e959-409e-baeb-84dd14382804_png.rf.48fb415d0a2851464da46f9e94f3598b.jpg", "expected": "Flurotec-coated bromobutyl serum stoppers", "predicted": "Flurotec-coated bromobutyl serum stoppers", "correct": true, "input_tokens": 1179, "output_tokens": 487, "elapsed_seconds": 9.898850374971516, "metadata": {"question": "Which packaging material was dispensed furthest above its required quantity? Choose one: amber glass vial, Flurotec-coated bromobutyl serum stoppers, or purple flip-off seal.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.9915}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 7, "image": "badd5270-702b-4161-804a-3875ebeaab25_png.rf.87a2d89de755bd8e677f27f6c325b675.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1182, "output_tokens": 501, "elapsed_seconds": 7.700113707920536, "metadata": {"question": "In the visible table, what is the difference between the number of rows with Real Customer Group '1278' and those with '1001'? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.7222}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 8, "image": "badd5270-702b-4161-804a-3875ebeaab25_png.rf.87a2d89de755bd8e677f27f6c325b675.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1170, "output_tokens": 571, "elapsed_seconds": 6.271413499955088, "metadata": {"question": "Excluding the row where the Party is 'NONE', how many unique Party values are listed in the table? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.2916}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 9, "image": "76bbc10c-bed4-41d3-8622-035eeabc5596_png.rf.b20dacd6d7f36277f12a5de62bcc77d5.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1143, "output_tokens": 1080, "elapsed_seconds": 13.342515083029866, "metadata": {"question": "How many total boxes of trial lenses are missing from the column labeled 110 in the bottom section? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 13.4554}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 10, "image": "76bbc10c-bed4-41d3-8622-035eeabc5596_png.rf.b20dacd6d7f36277f12a5de62bcc77d5.jpg", "expected": "+1.00", "predicted": "+1.00", "correct": true, "input_tokens": 1160, "output_tokens": 624, "elapsed_seconds": 8.394072208087891, "metadata": {"question": "In the bottom section, which SPH power row is completely empty across all five columns? Choose one: +3.00, +2.00, +1.00, or -6.00.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.5051}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 11, "image": "f76b953e-a7af-4f0b-b25d-8464103c4b2d_png.rf.2323d361c5c1df73ba3feca61d206a76.jpg", "expected": "278", "predicted": "278", "correct": true, "input_tokens": 1145, "output_tokens": 482, "elapsed_seconds": 7.2009834999917075, "metadata": {"question": "According to the nutritional information, how many total calories (Kcal) are contained in a portion of this snack that contains exactly 18 grams of fat? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.2392}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 12, "image": "f76b953e-a7af-4f0b-b25d-8464103c4b2d_png.rf.2323d361c5c1df73ba3feca61d206a76.jpg", "expected": "58.3%", "predicted": "58.3%", "correct": true, "input_tokens": 1148, "output_tokens": 490, "elapsed_seconds": 6.458617207943462, "metadata": {"question": "Based on the nutritional information per 100g, what percentage of the total energy comes from fat, using 9 kcal per gram of fat? Answer with a percentage rounded to one decimal place.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.4963}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 13, "image": "bb5d817a-0216-4404-a737-dc3a118edda4_png.rf.de0c951943b6ce799e856483fae63599.jpg", "expected": "2.742", "predicted": "2.742", "correct": true, "input_tokens": 1169, "output_tokens": 812, "elapsed_seconds": 10.821292541921139, "metadata": {"question": "Based on the technical drawing, what is the horizontal distance between the leftmost center of the left slot and the vertical centerline of the top hole? Answer with a number rounded to three decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.8346}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 14, "image": "f1f21256-337e-4348-ab9a-13351b9666bc_png.rf.f7241e285cd093e86b7c7fa3968fcf5d.jpg", "expected": "11", "predicted": "11", "correct": true, "input_tokens": 1168, "output_tokens": 389, "elapsed_seconds": 5.2182607910363, "metadata": {"question": "How many days elapse between the date the delivery note was issued and the scheduled delivery date? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.2291}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 15, "image": "dc13d7fa-f450-4040-a92b-a7d4f065e31d_png.rf.72799758463340501608cda7b66e2b78.jpg", "expected": "6", "predicted": "23", "correct": false, "input_tokens": 1159, "output_tokens": 852, "elapsed_seconds": 9.901823499938473, "metadata": {"question": "What is the total number of containers associated with all samples designated as composite ('C') under the collection type? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 9.9432}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 16, "image": "dc13d7fa-f450-4040-a92b-a7d4f065e31d_png.rf.72799758463340501608cda7b66e2b78.jpg", "expected": "no", "predicted": "no", "correct": true, "input_tokens": 1161, "output_tokens": 1023, "elapsed_seconds": 10.35413262504153, "metadata": {"question": "Does preservation code N apply to more total containers than preservation code S when every checked row is weighted by its listed container count? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.3943}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 17, "image": "8e5b7a3a-7b69-4663-8f76-5b772006e748_png.rf.f9a5eaa49d2d77a19776b2b8db176942.jpg", "expected": "11.9 cm", "predicted": "11.9 cm", "correct": true, "input_tokens": 1162, "output_tokens": 1227, "elapsed_seconds": 18.178643874940462, "metadata": {"question": "Based on the horizontal ruler, what is the length of the blister pack? Choose one: 11.4 cm, 11.9 cm, 12.4 cm, or 12.9 cm.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 18.1914}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 18, "image": "396282bc-0d15-4e53-8803-7e5b69c1bef0_png.rf.7026903692b33b2e719785561327c679.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1186, "output_tokens": 375, "elapsed_seconds": 7.730170791037381, "metadata": {"question": "If the worker wants to assemble another dessert cup matching those on the trays, can it be completed using only the loose ingredients visibly available on the table? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.7799}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 19, "image": "ea5e1584-2445-412a-ab88-341719a020fb_png.rf.e18e5930f3b7aaeffe6681b1e4b5928d.jpg", "expected": "4026.72", "predicted": "4026.72", "correct": true, "input_tokens": 1188, "output_tokens": 602, "elapsed_seconds": 7.711972250021063, "metadata": {"question": "If the \u20ac450 rework discount were removed while all other entries and the 19% VAT rate stayed unchanged, what would the resulting invoice total including VAT be? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.7316}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 20, "image": "8f5959cc-c71e-4f39-926e-f88be3cd618b_png.rf.fd70f6581b5f9ef831b77090bcd8e310.jpg", "expected": "250", "predicted": "250", "correct": true, "input_tokens": 1173, "output_tokens": 179, "elapsed_seconds": 3.81543720792979, "metadata": {"question": "Subtract the total net weight from the total weight gross listed on the delivery note, and express the packaging weight in grams. Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.8262}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 21, "image": "1eae1c65-b395-4666-85f9-bf941b1def2c_png.rf.ee7f186d8bab2cd5b0cfb02161c8302a.jpg", "expected": "4", "predicted": "3", "correct": false, "input_tokens": 1172, "output_tokens": 241, "elapsed_seconds": 5.517372000031173, "metadata": {"question": "How many days elapsed between the date this cleaning record became effective and the date Section E was crossed out and signed? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 5.582}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 22, "image": "ed48ae7c-8ca6-4fd9-9483-28df8487b82d_png.rf.36fc2484e3acc322295ec134e0068226.jpg", "expected": "left", "predicted": "right", "correct": false, "input_tokens": 1192, "output_tokens": 2560, "elapsed_seconds": 36.85550187493209, "metadata": {"question": "From the perspective of a driver sitting inside the white sedan and looking forward, on which side of their vehicle's front end did the collision occur? Choose one: left or right.", "strict_correct": false, "judge_correct": false, "attempts": 2, "retries": 1, "total_seconds": 99.5432, "transient_errors": ["RemoteProtocolError"]}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 23, "image": "96a170be-c707-476a-87c6-8f9229dc9735_png.rf.088cef7f2ff77232fe6904a6836a5135.jpg", "expected": "upper row", "predicted": "upper row", "correct": true, "input_tokens": 1183, "output_tokens": 123, "elapsed_seconds": 4.146493250038475, "metadata": {"question": "For an arriving trailer needing an open marked bay, which row offers more parking options: upper row or lower row? Choose one: upper row or lower row.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.2077}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 24, "image": "f7ec4cc8-90a9-4a3f-8603-91de3073b392_png.rf.669686b7efc2f35cae0ce34ba90377ff.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1153, "output_tokens": 478, "elapsed_seconds": 7.461201500031166, "metadata": {"question": "Based on the position of the audio jack plugged into the panel, which side of the boy's head from his own perspective is closer to the plug? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.4732}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 25, "image": "b5ef866d-feb2-411f-ac5c-40c395cc3c62_png.rf.66b42d06fd426729cfaf37fe699ef682.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1179, "output_tokens": 345, "elapsed_seconds": 7.289805750013329, "metadata": {"question": "If a person walks in a straight line from the trampoline in the middle yard to the swing set in the left yard, how many property fence lines must they cross? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.3935}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 26, "image": "eeee1640-5005-460c-a3f3-12dfff951fc5_png.rf.f39545ddd7734560dd9a051e2c230c8c.jpg", "expected": "right side", "predicted": "right side", "correct": true, "input_tokens": 1163, "output_tokens": 483, "elapsed_seconds": 8.454977999906987, "metadata": {"question": "Based on the perspective of a driver sitting inside the van and looking forward, on which side of the vehicle is the textured concrete wall located? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.5046}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 27, "image": "8a9b0190-2516-4613-a33c-114cf5eb8993_png.rf.923b9627464a61d6941c095f16b9c069.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1161, "output_tokens": 249, "elapsed_seconds": 9.063409541966394, "metadata": {"question": "If every visible wrapped burger must be served with its own bag of fries, how many additional bags of fries are needed? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.1284}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 28, "image": "2f5026b8-8dc1-4831-94a4-d9f1c102b0fd_png.rf.17d85e9f6c9abd757c801aa0d47f423e.jpg", "expected": "9", "predicted": "9", "correct": true, "input_tokens": 1148, "output_tokens": 721, "elapsed_seconds": 11.330563624971546, "metadata": {"question": "Counting from the start date of Steel Fabrication to the start date of Fit off on this schedule, how many days elapse in total? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.4614}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 29, "image": "f4155be5-83b2-4214-89e0-b21906a781bd_png.rf.f865f92d82e075d8770a8aa212800d2e.jpg", "expected": "48.50", "predicted": "48.50", "correct": true, "input_tokens": 1167, "output_tokens": 965, "elapsed_seconds": 12.337288000038825, "metadata": {"question": "What is the actual total cost of all liquid beverages (Coke Zero, Pot Of Tea, Mochaccino, and Latte) listed on the receipt? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 12.3975}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 30, "image": "f4155be5-83b2-4214-89e0-b21906a781bd_png.rf.f865f92d82e075d8770a8aa212800d2e.jpg", "expected": "247.50", "predicted": "247.50", "correct": true, "input_tokens": 1158, "output_tokens": 667, "elapsed_seconds": 7.945229292032309, "metadata": {"question": "If the group had ordered only one Mochaccino instead of two, what would the new total bill be? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.0078}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 31, "image": "c9b00dcb-e093-43d9-baf8-f1971ff328af_png.rf.41492638acc0aba933dc61f9c675d2c7.jpg", "expected": "22", "predicted": "22", "correct": true, "input_tokens": 1144, "output_tokens": 646, "elapsed_seconds": 7.327239540987648, "metadata": {"question": "If a patient takes one capsule per day from this pack, how many days of medication are remaining in the pack? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.3799}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 32, "image": "b4ac0ec8-9f7d-4769-ae70-3d0a959ca24b_png.rf.85ff21bb1ee3df65bbc402ec233ed80a.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1189, "output_tokens": 804, "elapsed_seconds": 10.353459457983263, "metadata": {"question": "If the green and blue rings on the right-hand board were swapped, how many ring positions on that board would still differ from the left-hand board? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.4019}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 33, "image": "34d45dd0-c14f-4a0a-9ff1-031d92a49ca1_png.rf.85c2cfa50183c292a49aaa7c9b2f0064.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1191, "output_tokens": 394, "elapsed_seconds": 7.017244250047952, "metadata": {"question": "Based on the orientation of the stopped green SUV, on which side of the vehicle is the fallen motorcyclist lying from the perspective of a driver sitting inside looking forward? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.0668}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 34, "image": "403906f1-d101-4a15-b0b3-43f90df6b13e_png.rf.9db9421ec54b4a1bf4b5d2a3462836c6.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1182, "output_tokens": 537, "elapsed_seconds": 8.27965504094027, "metadata": {"question": "From the perspective of the man standing and walking along the aisle, on which side is the passenger holding reading papers seated? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.3729}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 35, "image": "5a48fe25-9006-45d1-ac0c-fab115eb5d1a_png.rf.3951f54e9e9535809ab4efc645c98048.jpg", "expected": "1", "predicted": "2", "correct": false, "input_tokens": 1153, "output_tokens": 26837, "elapsed_seconds": 245.19228524994105, "metadata": {"question": "Based on the stacking limit symbol printed on the boxes, what is the maximum number of additional identical boxes that can be safely stacked on top of the foreground box? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 245.2759}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 36, "image": "6711dc5a-8b63-441e-8fea-910b9298bde9_png.rf.7ed399c3d00da2923147fe6901bc90e0.jpg", "expected": "3", "predicted": "1", "correct": false, "input_tokens": 1160, "output_tokens": 2861, "elapsed_seconds": 34.10544812504668, "metadata": {"question": "A worker wants to fill the crate's empty floor space with more punnets of the same size, laid flat in a single layer alongside the existing ones. How many additional punnets fit? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 34.1767}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 37, "image": "04a7e555-066a-4662-be7d-1fab1d0a89bb_png.rf.1c99b9faeb404517267846787ed66438.jpg", "expected": "decreased", "predicted": "decreased", "correct": true, "input_tokens": 1141, "output_tokens": 276, "elapsed_seconds": 5.046945833018981, "metadata": {"question": "To move the shown pressure into the green band, should the system pressure be increased or decreased? Choose one: increased or decreased.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.1245}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 38, "image": "1710a83d-1506-464e-83bf-f015141f1c37_png.rf.bca4b5702f3d41d061d317ac2e0ea038.jpg", "expected": "10", "predicted": "10", "correct": true, "input_tokens": 1183, "output_tokens": 1201, "elapsed_seconds": 10.120457999990322, "metadata": {"question": "If a patient can only attend appointments at or after 11:00 AM, how many of the displayed time slots across the entire week are available to them? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.1348}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 39, "image": "1f2fe1d2-a6a6-4e60-a8e9-5a44e686ea1f_png.rf.e04f0049aa2caa0571f54b741224339f.jpg", "expected": "0", "predicted": "0", "correct": true, "input_tokens": 1167, "output_tokens": 556, "elapsed_seconds": 7.685586249921471, "metadata": {"question": "How many of the cans on the table are lying on their side rather than standing upright? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.7524}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 40, "image": "986ae5b8-bac5-432c-9ab1-afa7c98c2ef6_png.rf.004ba60e063ba1ac27b397a96d9539ee.jpg", "expected": "ASML Hld", "predicted": "ASML Hld", "correct": true, "input_tokens": 1188, "output_tokens": 407, "elapsed_seconds": 5.946660666028038, "metadata": {"question": "Which of the following stocks listed under the letter 'A' has a 'Last' price that exceeds its listed 52-week High? Choose one: ASML Hld, ASV Inc s, ATI Tech, or ATMI Inc.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.9714}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 41, "image": "0de03edc-15c5-4782-a74b-7cedb1df477b_png.rf.25fbbbda8291953bf4362acd5ea98104.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1187, "output_tokens": 265, "elapsed_seconds": 4.230409375042655, "metadata": {"question": "Based on the sequential numbering of the exercises, how many numbered problems between (1) and (14) are missing from this worksheet? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.245}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 42, "image": "107aeb67-63af-49d6-874c-d2505fa3fa43_png.rf.dd08291695888d5c30c0c4d82e0d1f5c.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1148, "output_tokens": 558, "elapsed_seconds": 8.70567095791921, "metadata": {"question": "To open the left door of the container, what is the minimum number of vertical locking bars that must be disengaged across the entire container? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.8032}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 43, "image": "3798710d-6abc-41a9-a6fa-69b36af142fd_png.rf.7513f727ea31e7a4d75594a64c1cd041.jpg", "expected": "168", "predicted": "168", "correct": true, "input_tokens": 1191, "output_tokens": 517, "elapsed_seconds": 7.207303958944976, "metadata": {"question": "According to the red digital display on the right, the current time is shown on the bottom line. If the train is scheduled to reach its destination at 09:35, how many minutes of travel time remain? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.291}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 44, "image": "dce06136-2d24-422b-a3b6-e100c9a4bad1_png.rf.ac128576e826b2eca821e98b5f31f992.jpg", "expected": "Bihar", "predicted": "Bihar", "correct": true, "input_tokens": 1186, "output_tokens": 350, "elapsed_seconds": 5.610092999995686, "metadata": {"question": "A quality inspector sees a pack whose printed batch number begins with the characters 'AB'. According to the information on this pack, in which Indian state was that pack manufactured? Choose one: Bihar, Haryana, Assam, or Punjab.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.6597}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 45, "image": "de2bbe1d-be94-4d71-97d8-2c316733c49d_png.rf.3e37eee81410925ab9219df63ec1cca0.jpg", "expected": "10", "predicted": "10", "correct": true, "input_tokens": 1167, "output_tokens": 1272, "elapsed_seconds": 13.8775814169785, "metadata": {"question": "If a person consumes exactly three packets per day, what is the maximum number of full days this box of packets will last? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 13.9044}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 46, "image": "09c2792b-3755-4eee-828f-fa0c2567760f_png.rf.c5f2d9113af4bbc2882b49e0ae573966.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1206, "output_tokens": 2437, "elapsed_seconds": 28.49443495902233, "metadata": {"question": "To balance the shelves so that both have an equal number of books, how many books must be moved from the bottom shelf to the top shelf? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 28.5378}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 47, "image": "57ae8fef-d674-43e7-9cf4-e7aeddb9e311_png.rf.88bc8729d68c7e1a097ea61f60d08ffc.jpg", "expected": "400", "predicted": "400", "correct": true, "input_tokens": 1167, "output_tokens": 790, "elapsed_seconds": 10.638755666906945, "metadata": {"question": "What is the total value of all the banknotes shown in the image, in Malaysian Ringgit (RM)? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.7361}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 48, "image": "26584325-f95e-41e4-9f4b-99afc5ff078d_png.rf.9c541fbfbbd37f1e00d8f04f9ac40b45.jpg", "expected": "beetroot", "predicted": "beetroot", "correct": true, "input_tokens": 1151, "output_tokens": 385, "elapsed_seconds": 7.657408208004199, "metadata": {"question": "Based on the details of the planted vegetables, which specific vegetable was planted from a tray instead of 6-packs? Choose one: beetroot, celery, coriander, or marigold.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.7365}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 49, "image": "20b7a85e-989a-4fa8-b275-6a1d92d2118a_png.rf.3bcf6e487a9fb4eb1f3f3848b5465060.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1183, "output_tokens": 290, "elapsed_seconds": 6.205472624977119, "metadata": {"question": "If the white ball-handler shoots without moving his feet, how many points would a made basket be worth under standard basketball rules? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.2662}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 50, "image": "7a31b46f-531b-43e7-895b-4e25e049abb3_png.rf.119ce2ebe0cff7f16bc80422173c188a.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1139, "output_tokens": 253, "elapsed_seconds": 6.310537709039636, "metadata": {"question": "If only the visible rear door were replaced, would all of the visible scrape damage be eliminated? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.3826}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 51, "image": "7a31b46f-531b-43e7-895b-4e25e049abb3_png.rf.119ce2ebe0cff7f16bc80422173c188a.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1139, "output_tokens": 195, "elapsed_seconds": 5.132455000071786, "metadata": {"question": "From the perspective of a driver seated inside and facing forward, which side is it? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.203}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 52, "image": "82172a50-05ec-4f75-9b67-02d726a97981_png.rf.b6b418d86b460b5df29a48b3cf9bff9f.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1146, "output_tokens": 898, "elapsed_seconds": 18.51128041697666, "metadata": {"question": "This car is driving toward the viewer's position, and this road follows right-hand traffic rules. Is the car currently keeping to its correct side of the road? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 18.5601}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 53, "image": "612c657e-0e9c-4b2b-a741-2d1b1158c172_png.rf.e46b67734667d8de639182c1c6b58968.jpg", "expected": "left hand", "predicted": "left hand", "correct": true, "input_tokens": 1146, "output_tokens": 276, "elapsed_seconds": 9.053500667097978, "metadata": {"question": "Based on the anatomical structure and the grip shown, which of the person's hands is holding the paper? Choose one: left hand or right hand.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.1387}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 54, "image": "bc085807-a87c-42c4-85dc-07885733dac6_png.rf.86d16faa2e4e01ea9b2f076098eda3da.jpg", "expected": "2805.47", "predicted": "2805.47", "correct": true, "input_tokens": 1192, "output_tokens": 816, "elapsed_seconds": 12.25407612498384, "metadata": {"question": "If the customer adds two more units of Product XYZ while the unit price and tax rate stay the same, what will the revised invoice total be? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 12.2631}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 55, "image": "4d261616-1f0b-4f51-8ebe-eaee7b84825e_png.rf.e8a48b995002e60e7809ef941602370f.jpg", "expected": "left side", "predicted": "left side", "correct": true, "input_tokens": 1162, "output_tokens": 313, "elapsed_seconds": 7.080698707955889, "metadata": {"question": "From the perspective of a driver seated inside and facing forward, which side of the car contains the visible damage? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.0933}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 56, "image": "7d7e098f-4a0d-4864-b2ea-d57988d4d061_png.rf.950712e3033a1d927b27752329326738.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1180, "output_tokens": 938, "elapsed_seconds": 13.340054541942663, "metadata": {"question": "From the perspective of a driver inside the blue SUV at the bottom of the image looking forward, on which side of their vehicle is the yellow Mazda? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 13.4624}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 57, "image": "19f45907-d682-40cf-bb87-9133dc873871_png.rf.8d5ae1def0513a436febceba4ca296a6.jpg", "expected": "left hand", "predicted": "left hand", "correct": true, "input_tokens": 1195, "output_tokens": 238, "elapsed_seconds": 4.027358332998119, "metadata": {"question": "Based on the visible features and orientation of the hand pressing the button, which of the person's hands is being used? Choose one: left hand or right hand.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.0506}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 58, "image": "347cb08d-5018-4506-8ff7-6052b5215bee_png.rf.f2241527449eeba4edc25991a9428857.jpg", "expected": "19190.95", "predicted": "19190.95", "correct": true, "input_tokens": 1199, "output_tokens": 575, "elapsed_seconds": 7.395488791982643, "metadata": {"question": "If the e-transfer withdrawal to 'budget AUTO glass' on July 15 had not occurred, what would the final balance be after the transaction on July 16? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.4252}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 59, "image": "6bdb57de-1206-40d4-a60a-1ac4c22a0468_png.rf.a9d75682ae8f6507d6225b4fa0e1d7f6.jpg", "expected": "right side", "predicted": "right side", "correct": true, "input_tokens": 1177, "output_tokens": 355, "elapsed_seconds": 5.546390083967708, "metadata": {"question": "From the perspective of the driver sitting inside the vehicle looking forward, on which side of the dashboard is the plush toy located? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.5753}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 60, "image": "97a91186-1382-40c6-8e10-ca36e7a94269_png.rf.f9de5fd2b340b608eb21d6e7fc1d9949.jpg", "expected": "parallel", "predicted": "parallel", "correct": true, "input_tokens": 1186, "output_tokens": 363, "elapsed_seconds": 5.076789833023213, "metadata": {"question": "Consider the log currently held in the grapple above the pile. Is its long axis oriented parallel or perpendicular to the logs stacked in the pile? Choose one: parallel or perpendicular.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.0937}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 61, "image": "68b07f85-3cf2-4e70-af98-06ef0c9d2c58_png.rf.d63e64af870bba743f8c88c43567124d.jpg", "expected": "unloading", "predicted": "unloading", "correct": true, "input_tokens": 1168, "output_tokens": 1185, "elapsed_seconds": 17.619452624931, "metadata": {"question": "Based on the worker's posture and direction of movement, is he loading the stack of red crates into the truck or unloading them from the truck? Choose one: loading or unloading.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 17.6673}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 62, "image": "db85c5c8-8aa2-4f36-93dd-7f73a9c7b9c0_png.rf.d13c340009833ccd6defe35016843595.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1186, "output_tokens": 275, "elapsed_seconds": 7.110122625017539, "metadata": {"question": "From the perspective of a driver sitting inside the car and looking forward, on which side of the vehicle is the 'SPORT' badge located? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.1605}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 63, "image": "2e1a4d87-f03c-4189-9406-7968664edda2_png.rf.7605c122843447cd3cbdda9bfc61fe25.jpg", "expected": "2700.00", "predicted": "2700.00", "correct": true, "input_tokens": 1192, "output_tokens": 370, "elapsed_seconds": 5.2349274170119315, "metadata": {"question": "If the same supplier shipped 100 additional cartons of head gear at the same average per-carton weight implied by this invoice, what would the new total gross weight be in kilograms? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.2786}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 64, "image": "2e15743f-6bc8-4cce-8ec0-66eea3a6ca2f_png.rf.dff2a916b2154426e2043eda4cd591dd.jpg", "expected": "5", "predicted": "3", "correct": false, "input_tokens": 1176, "output_tokens": 1534, "elapsed_seconds": 20.05640016705729, "metadata": {"question": "How many vertical columns in the vending machine contain at least one Pepsi can? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 20.0961}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 65, "image": "3f655000-3416-4906-8785-f716a5195996_png.rf.43d1001a93452d12ad70e047d2c6ed7e.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1184, "output_tokens": 611, "elapsed_seconds": 8.185707915923558, "metadata": {"question": "If you want to prepare breakfast plates that each require exactly 2 eggs and half an apple, what is the maximum number of such plates you can complete using only the visible eggs and apples? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.2897}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 66, "image": "4b1a9f4a-6b60-4350-b603-55755b49eaa7_png.rf.1a82163a0fad58cd34885043f4c4eb55.jpg", "expected": "15", "predicted": "15", "correct": true, "input_tokens": 1174, "output_tokens": 739, "elapsed_seconds": 9.758257125038654, "metadata": {"question": "At V_DS = 10 V, what is the approximate increase in drain current when V_GS rises from 6 V to 7 V? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.7831}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 67, "image": "0b0da260-9ab1-48b3-a909-03dc21a83345_png.rf.be24612c532b032d65b0228f30386968.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1179, "output_tokens": 422, "elapsed_seconds": 7.477496500010602, "metadata": {"question": "If you need to retrieve the box sealed with blue tape, what is the minimum number of other boxes you must remove first so that it is completely unobstructed from above? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.5738}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 68, "image": "214d5a30-f38a-4509-bd53-1e3ea49f9c8b_png.rf.adb2216acfcf57012a8ae573e973f1ca.jpg", "expected": "11.80", "predicted": "11.80", "correct": true, "input_tokens": 1156, "output_tokens": 547, "elapsed_seconds": 6.979261540924199, "metadata": {"question": "What is the total amount of GST commission charges (NEFT-GST-COMMISSION) debited on September 15, 2025? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.0455}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 69, "image": "a605175c-be9c-4e9b-8f69-540e233aa5e8_png.rf.3f3d5135536b2e36c9325081fe4f36ee.jpg", "expected": "left side", "predicted": "left side", "correct": true, "input_tokens": 1202, "output_tokens": 324, "elapsed_seconds": 5.422332250047475, "metadata": {"question": "Based on the position of the wheel and the wrapping of the bumper, which side of the vehicle (from the perspective of a driver sitting inside and looking forward) is damaged? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.4451}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 70, "image": "01d2cf72-1e3e-425b-8743-ef01ca46252d_png.rf.3f9dc60e26c06dbdc9181e5b067126a0.jpg", "expected": "46.2%", "predicted": "46.2%", "correct": true, "input_tokens": 1172, "output_tokens": 668, "elapsed_seconds": 7.624437249964103, "metadata": {"question": "Based on the nutritional information per 100g, what percentage of the total fat is saturated fat? Answer with a percentage rounded to one decimal place.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.6458}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 71, "image": "423751b4-264a-4fed-acd4-7432a257389d_png.rf.aca151f72457b1604c2dc4b92bce1c2e.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1182, "output_tokens": 481, "elapsed_seconds": 6.851409542025067, "metadata": {"question": "Based on the technical drawing, what is the total tolerance range (the difference between the maximum and minimum allowable values) for the dimension associated with balloon 24? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.8826}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 72, "image": "86827a6f-9148-40bc-84eb-1f26a69fb426_png.rf.7a36b6597b39ee2cb27e013247477184.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1162, "output_tokens": 762, "elapsed_seconds": 9.675548291997984, "metadata": {"question": "From the perspective of a driver sitting inside the white truck in the foreground and looking forward, on which side of their vehicle is the black SUV? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.7106}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 73, "image": "dfe78d58-fa15-49ac-8673-04b364aaf8f6_png.rf.343b9ddb4be588f14fa49047c656c256.jpg", "expected": "opposite side", "predicted": "same side", "correct": false, "input_tokens": 1197, "output_tokens": 750, "elapsed_seconds": 10.29039829201065, "metadata": {"question": "Based on the direction of the shadows cast on the dock, is the sun located on the same side of the ship as the dock, or on the opposite side of the ship? Choose one: same side, or opposite side.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 10.3491}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 74, "image": "85119d73-c38d-44d4-80b9-f7cfc4848029_png.rf.6faf117b9b48a03e7226813130cb8c31.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1203, "output_tokens": 1104, "elapsed_seconds": 14.565101374988444, "metadata": {"question": "Treat each occupied compartment as one movable stack. What is the minimum number of whole stacks that must be moved so that no two adjacent occupied compartments contain the same color? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 14.5962}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 75, "image": "73825c5f-4954-4824-8572-64ed5602323c_png.rf.fac850718e77f19df27b7bf90d021ba7.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1146, "output_tokens": 252, "elapsed_seconds": 4.1565079590072855, "metadata": {"question": "What is the minimum number of doors a person must pass through to travel from Bedroom 2 to Bedroom 4? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.1721}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 76, "image": "ea00a7d2-1d73-45a3-8950-7f911a746913_png.rf.6d8d4591e8c887c3d43e174e43cfd621.jpg", "expected": "24", "predicted": "24", "correct": true, "input_tokens": 1154, "output_tokens": 1259, "elapsed_seconds": 14.533705583075061, "metadata": {"question": "Based on the 'Hired From' and 'Hired To' dates listed under Employment Data, for how many full years was the subject employed at SOLAR TRADE? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 14.5502}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 77, "image": "e8894dda-fd01-4e8f-b233-7aa1c6924174_png.rf.f8d49103c494c77bf0b4a1c79b12bd32.jpg", "expected": "145", "predicted": "145", "correct": true, "input_tokens": 1161, "output_tokens": 280, "elapsed_seconds": 4.708529082941823, "metadata": {"question": "What is the difference in grams between the target weight indicated in the product name and the actual net quantity of this muskmelon? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.7567}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 78, "image": "29f47b83-0092-4736-a8e7-b3ef23a92354_png.rf.fb2f7e6c321affb606a4919b6a7433ae.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1178, "output_tokens": 215, "elapsed_seconds": 3.9027557499939576, "metadata": {"question": "Based on the handwritten dates at the top of the form, how many days elapse between the date the document was written and its effective date? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.9181}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 79, "image": "5cf55f37-8adb-4adb-9520-148340548028_png.rf.e1605fd47b5ae75ba9c34cdcde09e17c.jpg", "expected": "July 10, 2016", "predicted": "July 10, 2016", "correct": true, "input_tokens": 1204, "output_tokens": 1063, "elapsed_seconds": 12.661850500036962, "metadata": {"question": "According to the payment terms and the invoice date, when is payment due? Choose one: June 10, 2016; July 10, 2016; July 5, 2016; August 10, 2016.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 12.6758}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 80, "image": "dae8c81a-4de4-4ef4-9301-25ca1ba03574_png.rf.d6aaed535d1e3ed00116c2b44301deea.jpg", "expected": "away", "predicted": "toward", "correct": false, "input_tokens": 1196, "output_tokens": 714, "elapsed_seconds": 10.63467604201287, "metadata": {"question": "If a worker grabbed the yellow pallet jack's handle and pulled it straight in the direction the handle currently points, would the jack move generally toward the central packing table or away from it? Choose one: toward or away.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 10.6919}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 81, "image": "9056e25e-2e7e-4746-b766-49e5c6aa52df_png.rf.9e357fa580bcb749370734803ddf5655.jpg", "expected": "left side", "predicted": "left side", "correct": true, "input_tokens": 1181, "output_tokens": 363, "elapsed_seconds": 5.794472333043814, "metadata": {"question": "Based on the door handle's position relative to the vertical seam and the wheel arch at the bottom, which side of the vehicle is shown (from the perspective of a passenger sitting inside and facing forward)? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.8421}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 82, "image": "47ad34a1-d784-48fd-bf0b-9814791703e3_png.rf.0d90c040409da9a682d9d7db5b14476f.jpg", "expected": "yes", "predicted": "yes", "correct": true, "input_tokens": 1162, "output_tokens": 316, "elapsed_seconds": 5.8274147500051185, "metadata": {"question": "If the Mercedes moves exactly one lane to its left, would it enter the same lane currently occupied by the smaller black car ahead? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.9022}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 83, "image": "0f7a1b1b-b0f9-4dba-9659-0455701b7a3f_png.rf.28278968509f5982105a211e62ac44b1.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1141, "output_tokens": 378, "elapsed_seconds": 6.177003791905008, "metadata": {"question": "Would improving only the attributes currently rated 4 be sufficient to make every listed attribute receive the highest rating? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.1912}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 84, "image": "0f7a1b1b-b0f9-4dba-9659-0455701b7a3f_png.rf.28278968509f5982105a211e62ac44b1.jpg", "expected": "4.5", "predicted": "4.5", "correct": true, "input_tokens": 1139, "output_tokens": 496, "elapsed_seconds": 5.9504511669510975, "metadata": {"question": "What is the average score of the attributes associated with PO11? Answer with a number rounded to one decimal place.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.9645}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 85, "image": "be797fcf-056b-44b2-a1da-b667c3185959_png.rf.29cfb688a5b86d169cb8732bb04f0f72.jpg", "expected": "22", "predicted": "24", "correct": false, "input_tokens": 1166, "output_tokens": 2219, "elapsed_seconds": 22.18582991696894, "metadata": {"question": "If the black tray in the foreground has a total capacity of 10 rows with 5 slots per row, how many more devices are needed to completely fill it? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 22.2403}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 86, "image": "861cb64d-800a-4635-999c-739199f8b473_png.rf.c6b83038f9d574bf6dccf2b1554017ec.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1170, "output_tokens": 405, "elapsed_seconds": 5.695791749982163, "metadata": {"question": "Based on the date of the letter and the details provided in the text, how many days are expected to elapse between the date the check was mailed and the date MDA is expected to receive it? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.7123}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 87, "image": "22c3fc7f-6563-4f41-8eac-8c7d425b5633_png.rf.2dd8b94855832744d13e2f1185950566.jpg", "expected": "18", "predicted": "18", "correct": true, "input_tokens": 1173, "output_tokens": 772, "elapsed_seconds": 10.1382145419484, "metadata": {"question": "Based on the manpower details table, what is the total number of normal hours (NOR) worked by all listed employees combined on this day? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.1708}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 88, "image": "e47241e5-70ca-420f-9c96-05b3095ff135_png.rf.7a32ff91ffc2f7aad43c713c84c3052b.jpg", "expected": "G003...80", "predicted": "G003...80", "correct": true, "input_tokens": 1227, "output_tokens": 593, "elapsed_seconds": 8.434084333013743, "metadata": {"question": "A designer needs a resistor with a resistance of 2.0 k\u03a9 and a tolerance of \u00b10.05%. Based on the specifications, what is the Global Model of the lightest resistor that meets these requirements? Choose one: G001...80, G002, G003...80, or G005.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.4844}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 89, "image": "1c9d39fb-7707-4058-8d39-5ef46b4d46bf_png.rf.3c3842ab73120c2d5d767bf08e3b9b44.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1186, "output_tokens": 563, "elapsed_seconds": 7.831451875041239, "metadata": {"question": "From the perspective of the driver seated inside the white pickup and facing its direction of travel, on which side of the truck is the pedestrian? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.8935}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 90, "image": "2d031b53-a61c-4de0-b98e-52b14a4c6fcc_png.rf.1abec44486981464bee69aff5fc4acdd.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1158, "output_tokens": 753, "elapsed_seconds": 8.747331540915184, "metadata": {"question": "Assuming each of the two pizzas on the warming station was originally cut into 6 equal slices, how many slices in total have been sold? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.7776}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 91, "image": "d06e0e70-1bed-4998-bcd4-bc8eccac71d3_png.rf.bd4e209d1eda6cadcb0362c0e61a56a0.jpg", "expected": "253730", "predicted": "253730", "correct": true, "input_tokens": 1183, "output_tokens": 570, "elapsed_seconds": 10.289618625072762, "metadata": {"question": "Using a rule of Medium priority before Low priority, then earliest Created Date to break a tie, which visible ticket should be handled next? Answer with ticket ID.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.3202}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 92, "image": "d06e0e70-1bed-4998-bcd4-bc8eccac71d3_png.rf.bd4e209d1eda6cadcb0362c0e61a56a0.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1182, "output_tokens": 360, "elapsed_seconds": 4.719231875031255, "metadata": {"question": "What is the time difference in hours between the earliest and latest tickets created on Apr 6, 2026? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.7496}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 93, "image": "b3f197fe-81ad-4fc1-bd69-d3b01d48b2b8_png.rf.5abbc57e2abc00bdf8184ff41d45e10c.jpg", "expected": "right hand", "predicted": "left hand", "correct": false, "input_tokens": 1145, "output_tokens": 1397, "elapsed_seconds": 17.57599883293733, "metadata": {"question": "Based on the position of the thumb and fingers, which hand is the operator using to hold the scanner? Choose one: left hand or right hand.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 17.6568}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 94, "image": "b3f197fe-81ad-4fc1-bd69-d3b01d48b2b8_png.rf.5abbc57e2abc00bdf8184ff41d45e10c.jpg", "expected": "up", "predicted": "up", "correct": true, "input_tokens": 1163, "output_tokens": 466, "elapsed_seconds": 6.9694747920148075, "metadata": {"question": "Keeping the scanner at its current tilt so the beam stays horizontal, in which direction should the worker shift the beam so it crosses a barcode's bars perpendicularly and can decode it? Choose one: up, down, left, or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.0496}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 95, "image": "0d8b9fdc-32fc-4324-9e81-414d7762982a_png.rf.10e3ab24f0cc229fc194f19150a9088a.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1167, "output_tokens": 291, "elapsed_seconds": 5.055643124971539, "metadata": {"question": "Which room number becomes completely isolated from all other rooms if the sliding door SD is closed? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.0742}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 96, "image": "0d8b9fdc-32fc-4324-9e81-414d7762982a_png.rf.10e3ab24f0cc229fc194f19150a9088a.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1174, "output_tokens": 821, "elapsed_seconds": 9.538602208020166, "metadata": {"question": "What is the minimum number of doors a person must pass through to travel from BedRoom 2 to BathRoom 5? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.5595}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 97, "image": "56b1bbe0-a003-4ba6-8cb2-08dd2f74a08a_png.rf.48d53e8f7bf6d0dbcf9eb16889b0777a.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1177, "output_tokens": 160, "elapsed_seconds": 3.7456104999873787, "metadata": {"question": "Based on the relative timestamps shown in the screenshot of the thread, how many hours after Benji Taylor's post did Paul Macgregor post his response? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.7574}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 98, "image": "c2dd6dca-767e-4fe1-8dfb-ead3a37507db_png.rf.96bbfed9aead2bbd919d3b4c1237287a.jpg", "expected": "1.3%", "predicted": "1.3%", "correct": true, "input_tokens": 1178, "output_tokens": 877, "elapsed_seconds": 12.15362150000874, "metadata": {"question": "Comparing the loading units and offloading units recorded on the note, what percentage of the loaded manganese ore fines was lost in transit? Answer with a percentage rounded to one decimal place.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 12.1985}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 99, "image": "c2dd6dca-767e-4fe1-8dfb-ead3a37507db_png.rf.96bbfed9aead2bbd919d3b4c1237287a.jpg", "expected": "520", "predicted": "520", "correct": true, "input_tokens": 1167, "output_tokens": 738, "elapsed_seconds": 10.0616494580172, "metadata": {"question": "What is the difference between the loading units and the offloading units recorded on this delivery note? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.11}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 100, "image": "d8552ab5-9930-4bd4-a00c-0f4adbeb76e4_png.rf.fc1f316aa3e9348a20e81d0e619cfa66.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1183, "output_tokens": 3599, "elapsed_seconds": 41.12371112499386, "metadata": {"question": "If this document is folded exactly in half by bringing the top edge down to meet the bottom edge, will the two punched holes on the left margin align to overlap each other? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 41.1372}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 101, "image": "42990fe8-872a-4d4e-a1f9-7926a990b803_png.rf.542a9bb854b1ddec7ea9b3c71f102c32.jpg", "expected": "13", "predicted": "13", "correct": true, "input_tokens": 1140, "output_tokens": 587, "elapsed_seconds": 7.21314866701141, "metadata": {"question": "What is the difference between the number of recorded heights that are at least 150 centimetres and those that are under 142 centimetres? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.219}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 102, "image": "bcf2178d-166f-4ae9-a0ef-40c03e873d7b_png.rf.45781833e957384c1cc81ae703e548a8.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1187, "output_tokens": 587, "elapsed_seconds": 8.901879374985583, "metadata": {"question": "Judging from the direction traffic travels on this roadway, which barrier are the two crashed SUVs resting against from the perspective of drivers on this road? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.9463}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 103, "image": "e8acc7bd-43d8-4902-8871-758a81216657_png.rf.3fdb3f122bcab387f522f1113b53a202.jpg", "expected": "yes", "predicted": "yes", "correct": true, "input_tokens": 1193, "output_tokens": 770, "elapsed_seconds": 10.761642541969195, "metadata": {"question": "A goaltender standing in the crease of the visible net faces up-ice toward the oncoming play. Are the majority of the green-jerseyed players currently on his left side? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.8181}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 104, "image": "c9dbd271-e8bd-4a4c-9d90-dcc53a4910f6_png.rf.7b116829f9e80042e6ff64cae0ce75bd.jpg", "expected": "18", "predicted": "18", "correct": true, "input_tokens": 1193, "output_tokens": 1502, "elapsed_seconds": 19.751909957965836, "metadata": {"question": "Using standard chess piece values where a pawn is 1 point, a bishop or knight is 3 points, and a rook is 5 points, what is the total point value of the captured white pieces set aside on the right? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 19.8034}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 105, "image": "4409ba1c-5b55-47e4-8fb3-ed245021d0bb_png.rf.274f7c4fb87e3efa82cd64b8840d0de7.jpg", "expected": "75.00", "predicted": "75.00", "correct": true, "input_tokens": 1151, "output_tokens": 374, "elapsed_seconds": 5.723425708012655, "metadata": {"question": "If the customer had decided to keep the Lipsy Bikini Bottoms instead of returning them, what would the total refunded amount be? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.7974}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 106, "image": "dc0f068d-8a08-4674-8415-973756621fea_png.rf.e7ad2a97bf4cfd59534ddd786e1bfa09.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1180, "output_tokens": 1020, "elapsed_seconds": 10.290451750042848, "metadata": {"question": "What is the difference between the number of times 'C' is marked and the number of times 'D' is marked on this sheet? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.2968}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 107, "image": "fd40be2e-2c23-4d4f-9af8-bee299b30fb0_png.rf.d32862e3f7c08fa121abceaa35a724bf.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1142, "output_tokens": 762, "elapsed_seconds": 15.34388391696848, "metadata": {"question": "How many of the 9 columns in the vending machine contain at least one bottle with a green cap? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 15.3958}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 108, "image": "39e13a5d-7f3d-4cb3-b99e-5a31236bdb32_png.rf.ac7593ea805bf54030232955f3054140.jpg", "expected": "38", "predicted": "38", "correct": true, "input_tokens": 1155, "output_tokens": 1026, "elapsed_seconds": 9.493771875044331, "metadata": {"question": "If we want to fill the display cabinet so that every compartment contains exactly one car, how many additional cars must be added? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.4977}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 109, "image": "ed033e2a-4072-4930-98ed-35aa45aee1d9_png.rf.3b133b1ed5ad005654d6d55fde0e6a80.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1178, "output_tokens": 884, "elapsed_seconds": 11.847289291908965, "metadata": {"question": "From the perspective of a driver sitting inside the cab of the dump truck with the green tarp and looking forward, which side door of the cab is open? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.9222}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 110, "image": "25e6ed9c-2d37-4533-8021-977770aa97d1_png.rf.5e4c7a4776bb280dedd569d309846abd.jpg", "expected": "no", "predicted": "no", "correct": true, "input_tokens": 1182, "output_tokens": 334, "elapsed_seconds": 5.812260624952614, "metadata": {"question": "Without adding or removing any cylinders, can the load be rearranged so that all four horizontal rows contain exactly the same number of cylinders? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.8651}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 111, "image": "17a88e1e-fb1c-46f0-8620-8f19854b8fff_png.rf.e4fb269a60ea85233a7bdd3d43ef4aa1.jpg", "expected": "right side", "predicted": "right side", "correct": true, "input_tokens": 1195, "output_tokens": 488, "elapsed_seconds": 8.67379329202231, "metadata": {"question": "Based on the relative positions of the wheel and the front fog light, which side of the vehicle (from the perspective of a driver sitting inside and looking forward) is damaged? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.6909}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 112, "image": "3a1d4bd3-6db0-4cda-881d-e9ae4c194abb_png.rf.34d91902d10ee43e73241d5a9df8fa98.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1157, "output_tokens": 389, "elapsed_seconds": 7.30878620792646, "metadata": {"question": "From the perspective of an officer sitting in the driver's seat of this SUV and facing forward, on which side of the vehicle is the person in the hooded sweatshirt standing? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.4166}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 113, "image": "0c721c3c-19a5-4857-89af-7d480d1a8ad6_png.rf.d4d68898257830e57382ff91e2ca4912.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1185, "output_tokens": 3572, "elapsed_seconds": 34.0424517079955, "metadata": {"question": "A patient must take medication only on odd-numbered days of the week (days 1, 3, 5, and 7), leaving even-numbered days (days 2, 4, and 6) empty. How many of the 28 trays are prepared exactly according to this schedule? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 34.1218}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 114, "image": "0c721c3c-19a5-4857-89af-7d480d1a8ad6_png.rf.d4d68898257830e57382ff91e2ca4912.jpg", "expected": "8", "predicted": "7", "correct": false, "input_tokens": 1154, "output_tokens": 4446, "elapsed_seconds": 37.81333491706755, "metadata": {"question": "A patient must take medication every day of the week, with all seven days filled. How many of the 28 trays are prepared exactly according to this schedule? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 37.8966}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 115, "image": "fd7145ce-ff54-42eb-b555-006479012309_png.rf.b64dc2701743bae035f831b7e381d8a1.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1162, "output_tokens": 581, "elapsed_seconds": 6.863235666998662, "metadata": {"question": "Based on the handwritten entries in the rent table, how many of the listed periods have a base monthly rent of exactly $2500.00? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.8891}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 116, "image": "62bb473c-8343-402f-a809-8a36d42884ff_png.rf.979d16777be23bdc0037837ff45a8b29.jpg", "expected": "14", "predicted": "14", "correct": true, "input_tokens": 1196, "output_tokens": 1239, "elapsed_seconds": 13.644629916991107, "metadata": {"question": "If a fully stocked column in this tray contains exactly 7 ice creams, how many additional ice creams are needed to fully stock all 7 columns (numbered 31 through 37)? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 13.7}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 117, "image": "94bfcdd8-0a2b-4903-95da-34fea7e1899c_png.rf.73c78580b0e05542ed686abf5b77f46d.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1151, "output_tokens": 431, "elapsed_seconds": 5.502066917018965, "metadata": {"question": "Based on the printed date of birth and date of expiry, will the cardholder have already turned 40 years old by the time this card expires? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.5942}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 118, "image": "b8891395-36f3-42e5-a1d2-616a922e0771_png.rf.b7e3860f9d0d9ab3e7f7fd0a6742a738.jpg", "expected": "yes", "predicted": "No", "correct": false, "input_tokens": 1165, "output_tokens": 2091, "elapsed_seconds": 33.04747091711033, "metadata": {"question": "Before the pharmacist can sweep the loose capsules on the tray surface into the transparent channel at the top, must the clear cover first be lifted open? Answer yes or no.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 33.1236}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 119, "image": "7315cbf8-64fb-436e-8446-d2f061545df7_png.rf.6f038540710afe5f888b22200ca39932.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1138, "output_tokens": 1342, "elapsed_seconds": 13.54903579200618, "metadata": {"question": "What is the minimum number of additional dominoes needed so that all five visible tiles can be used in one valid matching chain? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 13.5959}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 120, "image": "7315cbf8-64fb-436e-8446-d2f061545df7_png.rf.6f038540710afe5f888b22200ca39932.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1146, "output_tokens": 856, "elapsed_seconds": 9.393408209085464, "metadata": {"question": "If no new dominoes may be added, what is the minimum number of visible tiles that must be left out to arrange all the others as one valid matching chain? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.4572}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 121, "image": "7315cbf8-64fb-436e-8446-d2f061545df7_png.rf.6f038540710afe5f888b22200ca39932.jpg", "expected": "8", "predicted": "8", "correct": true, "input_tokens": 1138, "output_tokens": 562, "elapsed_seconds": 6.901834082906134, "metadata": {"question": "What is the total number of dots (pips) across all the dominoes that have at least one completely blank half? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.948}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 122, "image": "841a0a03-fb48-4b1b-8e75-8abef424a913_png.rf.f11c6efbf5e3b71b7477a83694d80fce.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1154, "output_tokens": 327, "elapsed_seconds": 4.9560039159841835, "metadata": {"question": "If the container is carrying 28,000 kg of cargo, can an additional 900 kg shipment be loaded without exceeding the stated payload limit? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.0282}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 123, "image": "ddb36742-789d-4a6f-a256-5998c9acd5cd_png.rf.f0ede67f0e9f049e1f036fb52b97641d.jpg", "expected": "4.40", "predicted": "4.40", "correct": true, "input_tokens": 1127, "output_tokens": 1485, "elapsed_seconds": 14.651518624974415, "metadata": {"question": "Based on the regular prices listed on the receipt, how much total money was saved on the discounted items compared to their regular prices? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 14.6816}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 124, "image": "3cd889b7-4626-47fe-af90-b98b2d5ffdfc_png.rf.7515e2b89f3d7561f907f84154e00de5.jpg", "expected": "3921.09", "predicted": "3921.09", "correct": true, "input_tokens": 1195, "output_tokens": 1372, "elapsed_seconds": 13.607933167018928, "metadata": {"question": "Among the seven individual items listed in the table on this page, what is the sum of the amounts for the items that expire in the year 2028? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 13.6612}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 125, "image": "3cd889b7-4626-47fe-af90-b98b2d5ffdfc_png.rf.7515e2b89f3d7561f907f84154e00de5.jpg", "expected": "15", "predicted": "15", "correct": true, "input_tokens": 1188, "output_tokens": 638, "elapsed_seconds": 8.293539459002204, "metadata": {"question": "Among the seven individual items listed in the table on this page, what is the total quantity of items that have a discount of 6.00%? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.3547}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 126, "image": "f035f306-754e-4ab9-bd14-80de6cb9353f_png.rf.463bdd12d569cb3ed06ddefa4f7c0544.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1141, "output_tokens": 614, "elapsed_seconds": 7.824797707959078, "metadata": {"question": "If you group all the visible beans into sets of three, how many beans will remain ungrouped? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.8944}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 127, "image": "32beea2c-22a7-4032-9914-2b8af79a6ca6_png.rf.afa9d4a51e3264b766523b0b6c43118f.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1164, "output_tokens": 305, "elapsed_seconds": 5.756157625000924, "metadata": {"question": "Does the circled total score in red at the bottom-left corner equal the sum of all individual question scores marked in red on this page? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.7947}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 128, "image": "1b4e5426-d109-4398-8e45-ab1dc497980f_png.rf.da896199922990bcefe9fec6ce57cec6.jpg", "expected": "11", "predicted": "11", "correct": true, "input_tokens": 1190, "output_tokens": 493, "elapsed_seconds": 6.906315375003032, "metadata": {"question": "If each correct red-circled response earns one point and the blue worked example is excluded, what is the student's score out of 12? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.934}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 129, "image": "864cf752-35ed-44ca-9e73-a27ba19cecb3_png.rf.d9a6b6882d7d84ae1066efdb3590df46.jpg", "expected": "12", "predicted": "12", "correct": true, "input_tokens": 1182, "output_tokens": 344, "elapsed_seconds": 5.478411084040999, "metadata": {"question": "If the player currently holding the ball successfully shoots and scores from her current position, what will Washington's total score become? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.5299}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 130, "image": "bffbaa49-7832-430e-995d-4db0336f7444_png.rf.705666d967baf405ca5b8c91e2e291d1.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1167, "output_tokens": 1112, "elapsed_seconds": 17.55542420805432, "metadata": {"question": "If three nuts are allocated to one mounting job, can five complete mounting jobs be supplied from the visible nuts? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 17.6101}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 131, "image": "3cc9dff1-0e00-4900-9013-00d7b1be6a09_png.rf.4fb05de3247bdec3e1119e997d8f465b.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1206, "output_tokens": 2875, "elapsed_seconds": 29.226254708948545, "metadata": {"question": "Based on the runners' current positions relative to the finish line on the right, which lane contains the runner currently in second place? Answer with a single integer, counting lanes from top (Lane 1) to bottom (Lane 8).", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 29.2376}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 132, "image": "4963b4c1-9126-48bc-ac30-e28cf692d079_png.rf.b0fe0fbf8e74b310187bebdb4e04529c.jpg", "expected": "right side", "predicted": "right side", "correct": true, "input_tokens": 1190, "output_tokens": 415, "elapsed_seconds": 9.806359500042163, "metadata": {"question": "Based on the visible wheel and headlight positions, which front side of the vehicle has the scuffed fender from the driver's forward-facing perspective? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.8981}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 133, "image": "6b1464af-2a20-4dc1-9b69-67b163aad58b_png.rf.5558871ebbc74585da7539ae1c82803b.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1158, "output_tokens": 1839, "elapsed_seconds": 16.056811417103745, "metadata": {"question": "Identify the column in the seedling tray that contains the longest continuous vertical sequence of empty plugs (containing only soil with no sprouted seedlings). How many empty plugs are in this longest sequence? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 16.1481}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 134, "image": "6b1464af-2a20-4dc1-9b69-67b163aad58b_png.rf.5558871ebbc74585da7539ae1c82803b.jpg", "expected": "top half", "predicted": "top half", "correct": true, "input_tokens": 1163, "output_tokens": 2374, "elapsed_seconds": 19.19336558401119, "metadata": {"question": "If the seedling tray is divided horizontally into a top half (rows 1 to 6) and a bottom half (rows 7 to 12), which half contains more empty plugs? Choose one: top half or bottom half.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 19.282}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 135, "image": "dea1a5c6-1f2e-4b07-946a-898cd8732f5f_png.rf.2317c0f63fa82df7683229a1fb7f5cd0.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1135, "output_tokens": 469, "elapsed_seconds": 8.435648082988337, "metadata": {"question": "How many shelves in the vending machine are stocked exclusively with water bottles? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.5254}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 136, "image": "93bf4bd9-63d1-4a73-97c8-e0e904fd029c_png.rf.c1d6a7530844ca542169fdee4d809e3e.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1145, "output_tokens": 1016, "elapsed_seconds": 16.23483899992425, "metadata": {"question": "If the pressure rises by 1 bar from the gauge's current reading, would the needle enter the red warning band? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 16.306}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 137, "image": "47352e6f-33b7-4c16-a520-03c8afe4c357_png.rf.4232d80b4b83ee4ee01af34332beae25.jpg", "expected": "on top", "predicted": "on top", "correct": true, "input_tokens": 1176, "output_tokens": 580, "elapsed_seconds": 9.45760333398357, "metadata": {"question": "Between the two crossed straight pins with black heads, does the pin with its black head at the bottom-right lie on top of or underneath the other pin? Choose one: on top or underneath.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.5313}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 138, "image": "40a321ee-89d8-4846-a3cf-b01413e971a3_png.rf.fbb996228d647f5d917d28665d8698db.jpg", "expected": "lower right", "predicted": "lower right", "correct": true, "input_tokens": 1168, "output_tokens": 512, "elapsed_seconds": 7.989841540926136, "metadata": {"question": "Based on the long shadows cast by the cattle, from which direction in the image is the sunlight coming? Choose one: upper left, upper right, lower left, or lower right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.0239}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 139, "image": "9c949507-b9b3-4a20-b76b-24512aedea5e_png.rf.450473e96e9282304c85265164cf0d78.jpg", "expected": "increase", "predicted": "increase", "correct": true, "input_tokens": 1145, "output_tokens": 308, "elapsed_seconds": 5.4961092920275405, "metadata": {"question": "To move the indicated pressure into the green operating band using the smallest change, should the pressure be increased or decreased? Choose one: increase or decrease.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.5885}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 140, "image": "e3685148-49ec-4ad2-9f50-8d9133ce35cd_png.rf.b2bbd5b99df26d40ae43a5cd2cf549c7.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1155, "output_tokens": 3010, "elapsed_seconds": 30.099741999991238, "metadata": {"question": "If a customer has a budget of 30.00 \u20ac, do they have enough money to buy one box of Berocca Boost and one box of Berocca Energie? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 30.1896}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 141, "image": "d7a763ce-28eb-4366-9169-d68f30a452b5_png.rf.b74d57acbfc696374bd43af86dc6931d.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1159, "output_tokens": 459, "elapsed_seconds": 7.060780792031437, "metadata": {"question": "Can a person travel from the Chambre to the Cuisine without entering the Salon? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.1339}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 142, "image": "d7a763ce-28eb-4366-9169-d68f30a452b5_png.rf.b74d57acbfc696374bd43af86dc6931d.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1169, "output_tokens": 455, "elapsed_seconds": 7.030281375045888, "metadata": {"question": "Starting from outside the apartment, what is the minimum number of doors a person must pass through to enter the SDB? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.0877}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 143, "image": "c46b41e5-447a-47dd-8780-7877ae92faef_png.rf.baa63153d8d89462d240f65b8eda302b.jpg", "expected": "correct lane", "predicted": "oncoming lane", "correct": false, "input_tokens": 1182, "output_tokens": 1943, "elapsed_seconds": 25.100207207957283, "metadata": {"question": "Based on standard United States road marking rules, is this vehicle driving in the correct lane or the oncoming lane? Choose one: correct lane or oncoming lane.", "strict_correct": false, "judge_correct": false, "attempts": 2, "retries": 1, "total_seconds": 95.1681, "transient_errors": ["RemoteProtocolError"]}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 144, "image": "ac750e7d-de93-4813-828d-409d16bd176b_png.rf.6559b085ab129da83454776a9ff2f3c3.jpg", "expected": "20", "predicted": "20", "correct": true, "input_tokens": 1155, "output_tokens": 320, "elapsed_seconds": 5.394112624926493, "metadata": {"question": "Based on the handwritten corrections, what is the difference between the original printed total number of events and the revised number of events? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.4167}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 145, "image": "76b25762-3b57-4158-9fab-945416165ada_png.rf.9990ab2a22469b04a599b81d43f7c09d.jpg", "expected": "118.00", "predicted": "118.00", "correct": true, "input_tokens": 1151, "output_tokens": 1042, "elapsed_seconds": 13.951477875001729, "metadata": {"question": "If the ribeye and the Afri Hot Chilli sauce are paid for separately, how much remains for the rest of the bill? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 14.0473}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 146, "image": "d0b99ce8-8a3b-4d1d-98d4-b34137b19f08_png.rf.135586d63ba8944adf934e8d0cd9cc00.jpg", "expected": "1648", "predicted": "1648", "correct": true, "input_tokens": 1164, "output_tokens": 1035, "elapsed_seconds": 13.376224500010721, "metadata": {"question": "What is the earliest year printed on any of the stamps in this sheet? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 13.4397}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 147, "image": "c91f10e7-1c18-434d-b9e6-2e570646da9d_png.rf.20b9e5afdcfab594a06be3928964180f.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1180, "output_tokens": 735, "elapsed_seconds": 18.74251849995926, "metadata": {"question": "If a driver without disability parking authorization wanted to use the space occupied by the dark sedan, would parking there be permitted? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 18.7939}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 148, "image": "8e2f7010-f314-4b13-badc-9a24ecdd1a45_png.rf.6aef955cc77c9959113ec1f1db73b0c3.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1151, "output_tokens": 667, "elapsed_seconds": 9.228618083056062, "metadata": {"question": "From the perspective of the truck driver seated in the cab and looking forward through the windshield, on which side is the large pyramid of blue drums? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.2868}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 149, "image": "76d985c4-8ba2-4660-871b-939bba136896_png.rf.42cd356e987e94c1579c6ffb589f753c.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1172, "output_tokens": 727, "elapsed_seconds": 8.98586041701492, "metadata": {"question": "If a qualifying shot must land in the 9-ring or closer to the center, has the target recorded at least five qualifying shots? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.0629}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_071812", "index": 150, "image": "76d985c4-8ba2-4660-871b-939bba136896_png.rf.42cd356e987e94c1579c6ffb589f753c.jpg", "expected": "60", "predicted": "60", "correct": true, "input_tokens": 1163, "output_tokens": 1248, "elapsed_seconds": 16.379721708013676, "metadata": {"question": "What is the total score of all shots that landed within the black region of the target? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 16.4469}} diff --git a/results/reasoning_gemini-4-argon_high_20261013_072018.jsonl b/results/reasoning_gemini-4-argon_high_20261013_072018.jsonl new file mode 100644 index 0000000..435c81c --- /dev/null +++ b/results/reasoning_gemini-4-argon_high_20261013_072018.jsonl @@ -0,0 +1,151 @@ +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 0, "image": "85202175-9c3b-4a40-b0a9-3c0d33e250b6_png.rf.9afa602969ee1e53f32d2cd370c4c96b.jpg", "expected": "1", "predicted": "2", "correct": false, "input_tokens": 1157, "output_tokens": 1650, "elapsed_seconds": 25.15369483397808, "metadata": {"question": "If a worker wants to rearrange the five numbered pipes so that their labels are in strictly ascending order from top to bottom, what is the minimum number of pipes that must be moved? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 25.2098}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 1, "image": "4f216ea0-af67-40e1-a226-2884e051db56_png.rf.09105ef6b5dab81d9f1a17fd1c6b2c34.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1147, "output_tokens": 452, "elapsed_seconds": 7.873572459095158, "metadata": {"question": "How many days after the date written on the top right of the letter is the patient's kidney transplant scheduled to take place? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.9356}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 2, "image": "d0980bab-2f15-4550-b3e6-813a2ad7e709_png.rf.46eb3c9c65328046e37275727bbeba8f.jpg", "expected": "1/2", "predicted": "1/2", "correct": true, "input_tokens": 1185, "output_tokens": 583, "elapsed_seconds": 9.212367499945685, "metadata": {"question": "Given that the selected number satisfies condition (iii), what is the probability that it also satisfies condition (iv)? Choose one: 0, 1/4, 1/2, or 1.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.28}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 3, "image": "85133aaa-d105-42fc-9fb7-95b84cbcead1_png.rf.dd175df27fe32c388e49c027b817bd77.jpg", "expected": "opposite directions", "predicted": "opposite directions", "correct": true, "input_tokens": 1197, "output_tokens": 480, "elapsed_seconds": 11.692533459048718, "metadata": {"question": "In the paved courtyard, a white car and a dark grey sedan are parked side-by-side in the middle. Are these two vehicles parked facing the same direction or opposite directions? Choose one: same direction or opposite directions.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.7869}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 4, "image": "cf479a9e-f37a-4a83-ba88-9c8813100830_png.rf.39718b9777bb616b7fab6dd75e98da87.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1163, "output_tokens": 514, "elapsed_seconds": 7.3856641669990495, "metadata": {"question": "From the perspective of the customer standing at the checkout facing the screen, on which side of the scanner is the bagging platform with the plastic bags located? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.4396}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 5, "image": "afb31dc3-8a6d-445f-ac38-f772de2bccd4_png.rf.592a5fece3103b7455dd062f81f25633.jpg", "expected": "upper-left", "predicted": "upper-left", "correct": true, "input_tokens": 1173, "output_tokens": 1070, "elapsed_seconds": 16.14129233302083, "metadata": {"question": "Judging by the direction the building shadows point across the block, toward which corner of the image does the sunlight appear to be shining from (i.e., shadows point away from that corner)? Choose one: upper-left, upper-right, lower-left, or lower-right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 16.2161}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 6, "image": "52dc8fa9-e959-409e-baeb-84dd14382804_png.rf.48fb415d0a2851464da46f9e94f3598b.jpg", "expected": "Flurotec-coated bromobutyl serum stoppers", "predicted": "Flurotec-coated bromobutyl serum stoppers", "correct": true, "input_tokens": 1179, "output_tokens": 533, "elapsed_seconds": 7.314190957928076, "metadata": {"question": "Which packaging material was dispensed furthest above its required quantity? Choose one: amber glass vial, Flurotec-coated bromobutyl serum stoppers, or purple flip-off seal.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.404}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 7, "image": "badd5270-702b-4161-804a-3875ebeaab25_png.rf.87a2d89de755bd8e677f27f6c325b675.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1182, "output_tokens": 550, "elapsed_seconds": 9.377568583004177, "metadata": {"question": "In the visible table, what is the difference between the number of rows with Real Customer Group '1278' and those with '1001'? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.4018}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 8, "image": "badd5270-702b-4161-804a-3875ebeaab25_png.rf.87a2d89de755bd8e677f27f6c325b675.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1170, "output_tokens": 698, "elapsed_seconds": 8.48490837495774, "metadata": {"question": "Excluding the row where the Party is 'NONE', how many unique Party values are listed in the table? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.5081}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 9, "image": "76bbc10c-bed4-41d3-8622-035eeabc5596_png.rf.b20dacd6d7f36277f12a5de62bcc77d5.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1143, "output_tokens": 876, "elapsed_seconds": 15.760451750014909, "metadata": {"question": "How many total boxes of trial lenses are missing from the column labeled 110 in the bottom section? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 15.8731}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 10, "image": "76bbc10c-bed4-41d3-8622-035eeabc5596_png.rf.b20dacd6d7f36277f12a5de62bcc77d5.jpg", "expected": "+1.00", "predicted": "+1.00", "correct": true, "input_tokens": 1160, "output_tokens": 324, "elapsed_seconds": 11.555871749995276, "metadata": {"question": "In the bottom section, which SPH power row is completely empty across all five columns? Choose one: +3.00, +2.00, +1.00, or -6.00.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.6687}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 11, "image": "f76b953e-a7af-4f0b-b25d-8464103c4b2d_png.rf.2323d361c5c1df73ba3feca61d206a76.jpg", "expected": "278", "predicted": "278", "correct": true, "input_tokens": 1145, "output_tokens": 455, "elapsed_seconds": 10.185148917022161, "metadata": {"question": "According to the nutritional information, how many total calories (Kcal) are contained in a portion of this snack that contains exactly 18 grams of fat? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.22}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 12, "image": "f76b953e-a7af-4f0b-b25d-8464103c4b2d_png.rf.2323d361c5c1df73ba3feca61d206a76.jpg", "expected": "58.3%", "predicted": "58.3%", "correct": true, "input_tokens": 1148, "output_tokens": 303, "elapsed_seconds": 5.5508439160184935, "metadata": {"question": "Based on the nutritional information per 100g, what percentage of the total energy comes from fat, using 9 kcal per gram of fat? Answer with a percentage rounded to one decimal place.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.5847}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 13, "image": "bb5d817a-0216-4404-a737-dc3a118edda4_png.rf.de0c951943b6ce799e856483fae63599.jpg", "expected": "2.742", "predicted": "2.742", "correct": true, "input_tokens": 1169, "output_tokens": 1101, "elapsed_seconds": 11.221522791078314, "metadata": {"question": "Based on the technical drawing, what is the horizontal distance between the leftmost center of the left slot and the vertical centerline of the top hole? Answer with a number rounded to three decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.2358}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 14, "image": "f1f21256-337e-4348-ab9a-13351b9666bc_png.rf.f7241e285cd093e86b7c7fa3968fcf5d.jpg", "expected": "11", "predicted": "11", "correct": true, "input_tokens": 1168, "output_tokens": 392, "elapsed_seconds": 5.45070379099343, "metadata": {"question": "How many days elapse between the date the delivery note was issued and the scheduled delivery date? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.4591}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 15, "image": "dc13d7fa-f450-4040-a92b-a7d4f065e31d_png.rf.72799758463340501608cda7b66e2b78.jpg", "expected": "6", "predicted": "23", "correct": false, "input_tokens": 1159, "output_tokens": 1029, "elapsed_seconds": 11.943375582923181, "metadata": {"question": "What is the total number of containers associated with all samples designated as composite ('C') under the collection type? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 11.9833}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 16, "image": "dc13d7fa-f450-4040-a92b-a7d4f065e31d_png.rf.72799758463340501608cda7b66e2b78.jpg", "expected": "no", "predicted": "no", "correct": true, "input_tokens": 1161, "output_tokens": 868, "elapsed_seconds": 9.847746458020993, "metadata": {"question": "Does preservation code N apply to more total containers than preservation code S when every checked row is weighted by its listed container count? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.8894}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 17, "image": "8e5b7a3a-7b69-4663-8f76-5b772006e748_png.rf.f9a5eaa49d2d77a19776b2b8db176942.jpg", "expected": "11.9 cm", "predicted": "11.9 cm", "correct": true, "input_tokens": 1162, "output_tokens": 614, "elapsed_seconds": 8.049028374953195, "metadata": {"question": "Based on the horizontal ruler, what is the length of the blister pack? Choose one: 11.4 cm, 11.9 cm, 12.4 cm, or 12.9 cm.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.0614}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 18, "image": "396282bc-0d15-4e53-8803-7e5b69c1bef0_png.rf.7026903692b33b2e719785561327c679.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1186, "output_tokens": 344, "elapsed_seconds": 6.1988935000263155, "metadata": {"question": "If the worker wants to assemble another dessert cup matching those on the trays, can it be completed using only the loose ingredients visibly available on the table? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.2443}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 19, "image": "ea5e1584-2445-412a-ab88-341719a020fb_png.rf.e18e5930f3b7aaeffe6681b1e4b5928d.jpg", "expected": "4026.72", "predicted": "4026.72", "correct": true, "input_tokens": 1188, "output_tokens": 963, "elapsed_seconds": 10.059924124972895, "metadata": {"question": "If the \u20ac450 rework discount were removed while all other entries and the 19% VAT rate stayed unchanged, what would the resulting invoice total including VAT be? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.0788}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 20, "image": "8f5959cc-c71e-4f39-926e-f88be3cd618b_png.rf.fd70f6581b5f9ef831b77090bcd8e310.jpg", "expected": "250", "predicted": "250", "correct": true, "input_tokens": 1173, "output_tokens": 217, "elapsed_seconds": 4.424910292029381, "metadata": {"question": "Subtract the total net weight from the total weight gross listed on the delivery note, and express the packaging weight in grams. Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.4356}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 21, "image": "1eae1c65-b395-4666-85f9-bf941b1def2c_png.rf.ee7f186d8bab2cd5b0cfb02161c8302a.jpg", "expected": "4", "predicted": "3", "correct": false, "input_tokens": 1172, "output_tokens": 435, "elapsed_seconds": 6.998993832967244, "metadata": {"question": "How many days elapsed between the date this cleaning record became effective and the date Section E was crossed out and signed? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 7.0623}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 22, "image": "ed48ae7c-8ca6-4fd9-9483-28df8487b82d_png.rf.36fc2484e3acc322295ec134e0068226.jpg", "expected": "left", "predicted": "right", "correct": false, "input_tokens": 1192, "output_tokens": 1597, "elapsed_seconds": 23.05543754203245, "metadata": {"question": "From the perspective of a driver sitting inside the white sedan and looking forward, on which side of their vehicle's front end did the collision occur? Choose one: left or right.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 23.0978}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 23, "image": "96a170be-c707-476a-87c6-8f9229dc9735_png.rf.088cef7f2ff77232fe6904a6836a5135.jpg", "expected": "upper row", "predicted": "upper row", "correct": true, "input_tokens": 1183, "output_tokens": 167, "elapsed_seconds": 3.7792510830331594, "metadata": {"question": "For an arriving trailer needing an open marked bay, which row offers more parking options: upper row or lower row? Choose one: upper row or lower row.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.8388}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 24, "image": "f7ec4cc8-90a9-4a3f-8603-91de3073b392_png.rf.669686b7efc2f35cae0ce34ba90377ff.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1153, "output_tokens": 560, "elapsed_seconds": 9.31910970795434, "metadata": {"question": "Based on the position of the audio jack plugged into the panel, which side of the boy's head from his own perspective is closer to the plug? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.3313}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 25, "image": "b5ef866d-feb2-411f-ac5c-40c395cc3c62_png.rf.66b42d06fd426729cfaf37fe699ef682.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1179, "output_tokens": 254, "elapsed_seconds": 5.866291000042111, "metadata": {"question": "If a person walks in a straight line from the trampoline in the middle yard to the swing set in the left yard, how many property fence lines must they cross? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.9698}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 26, "image": "eeee1640-5005-460c-a3f3-12dfff951fc5_png.rf.f39545ddd7734560dd9a051e2c230c8c.jpg", "expected": "right side", "predicted": "right side", "correct": true, "input_tokens": 1163, "output_tokens": 378, "elapsed_seconds": 6.7775274170562625, "metadata": {"question": "Based on the perspective of a driver sitting inside the van and looking forward, on which side of the vehicle is the textured concrete wall located? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.8236}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 27, "image": "8a9b0190-2516-4613-a33c-114cf5eb8993_png.rf.923b9627464a61d6941c095f16b9c069.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1161, "output_tokens": 614, "elapsed_seconds": 8.42486154101789, "metadata": {"question": "If every visible wrapped burger must be served with its own bag of fries, how many additional bags of fries are needed? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.4902}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 28, "image": "2f5026b8-8dc1-4831-94a4-d9f1c102b0fd_png.rf.17d85e9f6c9abd757c801aa0d47f423e.jpg", "expected": "9", "predicted": "9", "correct": true, "input_tokens": 1148, "output_tokens": 769, "elapsed_seconds": 10.04178937501274, "metadata": {"question": "Counting from the start date of Steel Fabrication to the start date of Fit off on this schedule, how many days elapse in total? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.1688}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 29, "image": "f4155be5-83b2-4214-89e0-b21906a781bd_png.rf.f865f92d82e075d8770a8aa212800d2e.jpg", "expected": "48.50", "predicted": "48.50", "correct": true, "input_tokens": 1167, "output_tokens": 864, "elapsed_seconds": 9.819004916003905, "metadata": {"question": "What is the actual total cost of all liquid beverages (Coke Zero, Pot Of Tea, Mochaccino, and Latte) listed on the receipt? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.8801}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 30, "image": "f4155be5-83b2-4214-89e0-b21906a781bd_png.rf.f865f92d82e075d8770a8aa212800d2e.jpg", "expected": "247.50", "predicted": "247.50", "correct": true, "input_tokens": 1158, "output_tokens": 716, "elapsed_seconds": 7.557721707969904, "metadata": {"question": "If the group had ordered only one Mochaccino instead of two, what would the new total bill be? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.6193}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 31, "image": "c9b00dcb-e093-43d9-baf8-f1971ff328af_png.rf.41492638acc0aba933dc61f9c675d2c7.jpg", "expected": "22", "predicted": "22", "correct": true, "input_tokens": 1144, "output_tokens": 713, "elapsed_seconds": 8.47375166695565, "metadata": {"question": "If a patient takes one capsule per day from this pack, how many days of medication are remaining in the pack? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.5268}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 32, "image": "b4ac0ec8-9f7d-4769-ae70-3d0a959ca24b_png.rf.85ff21bb1ee3df65bbc402ec233ed80a.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1189, "output_tokens": 544, "elapsed_seconds": 7.644554375088774, "metadata": {"question": "If the green and blue rings on the right-hand board were swapped, how many ring positions on that board would still differ from the left-hand board? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.6901}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 33, "image": "34d45dd0-c14f-4a0a-9ff1-031d92a49ca1_png.rf.85c2cfa50183c292a49aaa7c9b2f0064.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1191, "output_tokens": 513, "elapsed_seconds": 7.083398665999994, "metadata": {"question": "Based on the orientation of the stopped green SUV, on which side of the vehicle is the fallen motorcyclist lying from the perspective of a driver sitting inside looking forward? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.1348}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 34, "image": "403906f1-d101-4a15-b0b3-43f90df6b13e_png.rf.9db9421ec54b4a1bf4b5d2a3462836c6.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1182, "output_tokens": 529, "elapsed_seconds": 9.117776915896684, "metadata": {"question": "From the perspective of the man standing and walking along the aisle, on which side is the passenger holding reading papers seated? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.2123}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 35, "image": "5a48fe25-9006-45d1-ac0c-fab115eb5d1a_png.rf.3951f54e9e9535809ab4efc645c98048.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1153, "output_tokens": 16358, "elapsed_seconds": 155.59894566598814, "metadata": {"question": "Based on the stacking limit symbol printed on the boxes, what is the maximum number of additional identical boxes that can be safely stacked on top of the foreground box? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 155.6787}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 36, "image": "6711dc5a-8b63-441e-8fea-910b9298bde9_png.rf.7ed399c3d00da2923147fe6901bc90e0.jpg", "expected": "3", "predicted": "1", "correct": false, "input_tokens": 1160, "output_tokens": 3211, "elapsed_seconds": 41.31711254105903, "metadata": {"question": "A worker wants to fill the crate's empty floor space with more punnets of the same size, laid flat in a single layer alongside the existing ones. How many additional punnets fit? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 41.3932}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 37, "image": "04a7e555-066a-4662-be7d-1fab1d0a89bb_png.rf.1c99b9faeb404517267846787ed66438.jpg", "expected": "decreased", "predicted": "decreased", "correct": true, "input_tokens": 1141, "output_tokens": 301, "elapsed_seconds": 6.597162749967538, "metadata": {"question": "To move the shown pressure into the green band, should the system pressure be increased or decreased? Choose one: increased or decreased.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.6756}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 38, "image": "1710a83d-1506-464e-83bf-f015141f1c37_png.rf.bca4b5702f3d41d061d317ac2e0ea038.jpg", "expected": "10", "predicted": "10", "correct": true, "input_tokens": 1183, "output_tokens": 1188, "elapsed_seconds": 9.702669459045865, "metadata": {"question": "If a patient can only attend appointments at or after 11:00 AM, how many of the displayed time slots across the entire week are available to them? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.7203}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 39, "image": "1f2fe1d2-a6a6-4e60-a8e9-5a44e686ea1f_png.rf.e04f0049aa2caa0571f54b741224339f.jpg", "expected": "0", "predicted": "0", "correct": true, "input_tokens": 1167, "output_tokens": 485, "elapsed_seconds": 10.213229791028425, "metadata": {"question": "How many of the cans on the table are lying on their side rather than standing upright? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.2855}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 40, "image": "986ae5b8-bac5-432c-9ab1-afa7c98c2ef6_png.rf.004ba60e063ba1ac27b397a96d9539ee.jpg", "expected": "ASML Hld", "predicted": "ASML Hld", "correct": true, "input_tokens": 1188, "output_tokens": 467, "elapsed_seconds": 5.552657500025816, "metadata": {"question": "Which of the following stocks listed under the letter 'A' has a 'Last' price that exceeds its listed 52-week High? Choose one: ASML Hld, ASV Inc s, ATI Tech, or ATMI Inc.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.5761}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 41, "image": "0de03edc-15c5-4782-a74b-7cedb1df477b_png.rf.25fbbbda8291953bf4362acd5ea98104.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1187, "output_tokens": 290, "elapsed_seconds": 4.81806895788759, "metadata": {"question": "Based on the sequential numbering of the exercises, how many numbered problems between (1) and (14) are missing from this worksheet? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.8365}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 42, "image": "107aeb67-63af-49d6-874c-d2505fa3fa43_png.rf.dd08291695888d5c30c0c4d82e0d1f5c.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1148, "output_tokens": 473, "elapsed_seconds": 8.344073249958456, "metadata": {"question": "To open the left door of the container, what is the minimum number of vertical locking bars that must be disengaged across the entire container? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.4422}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 43, "image": "3798710d-6abc-41a9-a6fa-69b36af142fd_png.rf.7513f727ea31e7a4d75594a64c1cd041.jpg", "expected": "168", "predicted": "168", "correct": true, "input_tokens": 1191, "output_tokens": 609, "elapsed_seconds": 10.40965874993708, "metadata": {"question": "According to the red digital display on the right, the current time is shown on the bottom line. If the train is scheduled to reach its destination at 09:35, how many minutes of travel time remain? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.4936}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 44, "image": "dce06136-2d24-422b-a3b6-e100c9a4bad1_png.rf.ac128576e826b2eca821e98b5f31f992.jpg", "expected": "Bihar", "predicted": "Bihar", "correct": true, "input_tokens": 1186, "output_tokens": 337, "elapsed_seconds": 5.600995457964018, "metadata": {"question": "A quality inspector sees a pack whose printed batch number begins with the characters 'AB'. According to the information on this pack, in which Indian state was that pack manufactured? Choose one: Bihar, Haryana, Assam, or Punjab.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.6515}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 45, "image": "de2bbe1d-be94-4d71-97d8-2c316733c49d_png.rf.3e37eee81410925ab9219df63ec1cca0.jpg", "expected": "10", "predicted": "10", "correct": true, "input_tokens": 1167, "output_tokens": 1289, "elapsed_seconds": 14.369201041990891, "metadata": {"question": "If a person consumes exactly three packets per day, what is the maximum number of full days this box of packets will last? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 14.3941}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 46, "image": "09c2792b-3755-4eee-828f-fa0c2567760f_png.rf.c5f2d9113af4bbc2882b49e0ae573966.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1206, "output_tokens": 2546, "elapsed_seconds": 25.58512766705826, "metadata": {"question": "To balance the shelves so that both have an equal number of books, how many books must be moved from the bottom shelf to the top shelf? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 25.6303}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 47, "image": "57ae8fef-d674-43e7-9cf4-e7aeddb9e311_png.rf.88bc8729d68c7e1a097ea61f60d08ffc.jpg", "expected": "400", "predicted": "400", "correct": true, "input_tokens": 1167, "output_tokens": 885, "elapsed_seconds": 11.661810207995586, "metadata": {"question": "What is the total value of all the banknotes shown in the image, in Malaysian Ringgit (RM)? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.7578}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 48, "image": "26584325-f95e-41e4-9f4b-99afc5ff078d_png.rf.9c541fbfbbd37f1e00d8f04f9ac40b45.jpg", "expected": "beetroot", "predicted": "Beetroot", "correct": true, "input_tokens": 1151, "output_tokens": 308, "elapsed_seconds": 10.362980833044276, "metadata": {"question": "Based on the details of the planted vegetables, which specific vegetable was planted from a tray instead of 6-packs? Choose one: beetroot, celery, coriander, or marigold.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.4468}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 49, "image": "20b7a85e-989a-4fa8-b275-6a1d92d2118a_png.rf.3bcf6e487a9fb4eb1f3f3848b5465060.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1183, "output_tokens": 270, "elapsed_seconds": 5.18324029201176, "metadata": {"question": "If the white ball-handler shoots without moving his feet, how many points would a made basket be worth under standard basketball rules? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.2408}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 50, "image": "7a31b46f-531b-43e7-895b-4e25e049abb3_png.rf.119ce2ebe0cff7f16bc80422173c188a.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1139, "output_tokens": 880, "elapsed_seconds": 10.401069833897054, "metadata": {"question": "If only the visible rear door were replaced, would all of the visible scrape damage be eliminated? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.469}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 51, "image": "7a31b46f-531b-43e7-895b-4e25e049abb3_png.rf.119ce2ebe0cff7f16bc80422173c188a.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1139, "output_tokens": 399, "elapsed_seconds": 6.783569167018868, "metadata": {"question": "From the perspective of a driver seated inside and facing forward, which side is it? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.8519}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 52, "image": "82172a50-05ec-4f75-9b67-02d726a97981_png.rf.b6b418d86b460b5df29a48b3cf9bff9f.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1146, "output_tokens": 1417, "elapsed_seconds": 18.691941166995093, "metadata": {"question": "This car is driving toward the viewer's position, and this road follows right-hand traffic rules. Is the car currently keeping to its correct side of the road? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 18.7407}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 53, "image": "612c657e-0e9c-4b2b-a741-2d1b1158c172_png.rf.e46b67734667d8de639182c1c6b58968.jpg", "expected": "left hand", "predicted": "left hand", "correct": true, "input_tokens": 1146, "output_tokens": 324, "elapsed_seconds": 5.6437207909766585, "metadata": {"question": "Based on the anatomical structure and the grip shown, which of the person's hands is holding the paper? Choose one: left hand or right hand.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.7304}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 54, "image": "bc085807-a87c-42c4-85dc-07885733dac6_png.rf.86d16faa2e4e01ea9b2f076098eda3da.jpg", "expected": "2805.47", "predicted": "2805.47", "correct": true, "input_tokens": 1192, "output_tokens": 817, "elapsed_seconds": 8.245697667007335, "metadata": {"question": "If the customer adds two more units of Product XYZ while the unit price and tax rate stay the same, what will the revised invoice total be? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.2561}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 55, "image": "4d261616-1f0b-4f51-8ebe-eaee7b84825e_png.rf.e8a48b995002e60e7809ef941602370f.jpg", "expected": "left side", "predicted": "left side", "correct": true, "input_tokens": 1162, "output_tokens": 449, "elapsed_seconds": 7.00961687497329, "metadata": {"question": "From the perspective of a driver seated inside and facing forward, which side of the car contains the visible damage? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.0222}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 56, "image": "7d7e098f-4a0d-4864-b2ea-d57988d4d061_png.rf.950712e3033a1d927b27752329326738.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1180, "output_tokens": 676, "elapsed_seconds": 13.7190996670397, "metadata": {"question": "From the perspective of a driver inside the blue SUV at the bottom of the image looking forward, on which side of their vehicle is the yellow Mazda? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 13.8468}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 57, "image": "19f45907-d682-40cf-bb87-9133dc873871_png.rf.8d5ae1def0513a436febceba4ca296a6.jpg", "expected": "left hand", "predicted": "left hand", "correct": true, "input_tokens": 1195, "output_tokens": 368, "elapsed_seconds": 5.632318250020035, "metadata": {"question": "Based on the visible features and orientation of the hand pressing the button, which of the person's hands is being used? Choose one: left hand or right hand.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.6566}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 58, "image": "347cb08d-5018-4506-8ff7-6052b5215bee_png.rf.f2241527449eeba4edc25991a9428857.jpg", "expected": "19190.95", "predicted": "19190.95", "correct": true, "input_tokens": 1199, "output_tokens": 707, "elapsed_seconds": 11.4430261249654, "metadata": {"question": "If the e-transfer withdrawal to 'budget AUTO glass' on July 15 had not occurred, what would the final balance be after the transaction on July 16? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.4717}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 59, "image": "6bdb57de-1206-40d4-a60a-1ac4c22a0468_png.rf.a9d75682ae8f6507d6225b4fa0e1d7f6.jpg", "expected": "right side", "predicted": "right side", "correct": true, "input_tokens": 1177, "output_tokens": 267, "elapsed_seconds": 5.14802704192698, "metadata": {"question": "From the perspective of the driver sitting inside the vehicle looking forward, on which side of the dashboard is the plush toy located? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.1766}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 60, "image": "97a91186-1382-40c6-8e10-ca36e7a94269_png.rf.f9de5fd2b340b608eb21d6e7fc1d9949.jpg", "expected": "parallel", "predicted": "parallel", "correct": true, "input_tokens": 1186, "output_tokens": 259, "elapsed_seconds": 7.620652790996246, "metadata": {"question": "Consider the log currently held in the grapple above the pile. Is its long axis oriented parallel or perpendicular to the logs stacked in the pile? Choose one: parallel or perpendicular.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.6377}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 61, "image": "68b07f85-3cf2-4e70-af98-06ef0c9d2c58_png.rf.d63e64af870bba743f8c88c43567124d.jpg", "expected": "unloading", "predicted": "unloading", "correct": true, "input_tokens": 1168, "output_tokens": 1536, "elapsed_seconds": 25.52867733302992, "metadata": {"question": "Based on the worker's posture and direction of movement, is he loading the stack of red crates into the truck or unloading them from the truck? Choose one: loading or unloading.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 25.5798}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 62, "image": "db85c5c8-8aa2-4f36-93dd-7f73a9c7b9c0_png.rf.d13c340009833ccd6defe35016843595.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1186, "output_tokens": 484, "elapsed_seconds": 9.325412707985379, "metadata": {"question": "From the perspective of a driver sitting inside the car and looking forward, on which side of the vehicle is the 'SPORT' badge located? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.3777}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 63, "image": "2e1a4d87-f03c-4189-9406-7968664edda2_png.rf.7605c122843447cd3cbdda9bfc61fe25.jpg", "expected": "2700.00", "predicted": "2700.00", "correct": true, "input_tokens": 1192, "output_tokens": 403, "elapsed_seconds": 6.043316207942553, "metadata": {"question": "If the same supplier shipped 100 additional cartons of head gear at the same average per-carton weight implied by this invoice, what would the new total gross weight be in kilograms? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.0889}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 64, "image": "2e15743f-6bc8-4cce-8ec0-66eea3a6ca2f_png.rf.dff2a916b2154426e2043eda4cd591dd.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1176, "output_tokens": 1629, "elapsed_seconds": 19.35618975001853, "metadata": {"question": "How many vertical columns in the vending machine contain at least one Pepsi can? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 19.3939}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 65, "image": "3f655000-3416-4906-8785-f716a5195996_png.rf.43d1001a93452d12ad70e047d2c6ed7e.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1184, "output_tokens": 532, "elapsed_seconds": 9.89666087506339, "metadata": {"question": "If you want to prepare breakfast plates that each require exactly 2 eggs and half an apple, what is the maximum number of such plates you can complete using only the visible eggs and apples? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.0013}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 66, "image": "4b1a9f4a-6b60-4350-b603-55755b49eaa7_png.rf.1a82163a0fad58cd34885043f4c4eb55.jpg", "expected": "15", "predicted": "15", "correct": true, "input_tokens": 1174, "output_tokens": 642, "elapsed_seconds": 7.028736750013195, "metadata": {"question": "At V_DS = 10 V, what is the approximate increase in drain current when V_GS rises from 6 V to 7 V? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.0543}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 67, "image": "0b0da260-9ab1-48b3-a909-03dc21a83345_png.rf.be24612c532b032d65b0228f30386968.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1179, "output_tokens": 375, "elapsed_seconds": 5.9763279579347, "metadata": {"question": "If you need to retrieve the box sealed with blue tape, what is the minimum number of other boxes you must remove first so that it is completely unobstructed from above? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.0702}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 68, "image": "214d5a30-f38a-4509-bd53-1e3ea49f9c8b_png.rf.adb2216acfcf57012a8ae573e973f1ca.jpg", "expected": "11.80", "predicted": "11.80", "correct": true, "input_tokens": 1156, "output_tokens": 673, "elapsed_seconds": 7.137090457952581, "metadata": {"question": "What is the total amount of GST commission charges (NEFT-GST-COMMISSION) debited on September 15, 2025? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.203}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 69, "image": "a605175c-be9c-4e9b-8f69-540e233aa5e8_png.rf.3f3d5135536b2e36c9325081fe4f36ee.jpg", "expected": "left side", "predicted": "left side", "correct": true, "input_tokens": 1202, "output_tokens": 535, "elapsed_seconds": 8.037662208080292, "metadata": {"question": "Based on the position of the wheel and the wrapping of the bumper, which side of the vehicle (from the perspective of a driver sitting inside and looking forward) is damaged? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.0603}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 70, "image": "01d2cf72-1e3e-425b-8743-ef01ca46252d_png.rf.3f9dc60e26c06dbdc9181e5b067126a0.jpg", "expected": "46.2%", "predicted": "46.2%", "correct": true, "input_tokens": 1172, "output_tokens": 461, "elapsed_seconds": 5.977926874998957, "metadata": {"question": "Based on the nutritional information per 100g, what percentage of the total fat is saturated fat? Answer with a percentage rounded to one decimal place.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.9975}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 71, "image": "423751b4-264a-4fed-acd4-7432a257389d_png.rf.aca151f72457b1604c2dc4b92bce1c2e.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1182, "output_tokens": 617, "elapsed_seconds": 6.973919750074856, "metadata": {"question": "Based on the technical drawing, what is the total tolerance range (the difference between the maximum and minimum allowable values) for the dimension associated with balloon 24? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.0034}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 72, "image": "86827a6f-9148-40bc-84eb-1f26a69fb426_png.rf.7a36b6597b39ee2cb27e013247477184.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1162, "output_tokens": 413, "elapsed_seconds": 6.305585750029422, "metadata": {"question": "From the perspective of a driver sitting inside the white truck in the foreground and looking forward, on which side of their vehicle is the black SUV? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.34}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 73, "image": "dfe78d58-fa15-49ac-8673-04b364aaf8f6_png.rf.343b9ddb4be588f14fa49047c656c256.jpg", "expected": "opposite side", "predicted": "same side", "correct": false, "input_tokens": 1197, "output_tokens": 643, "elapsed_seconds": 9.11535300000105, "metadata": {"question": "Based on the direction of the shadows cast on the dock, is the sun located on the same side of the ship as the dock, or on the opposite side of the ship? Choose one: same side, or opposite side.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 9.1702}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 74, "image": "85119d73-c38d-44d4-80b9-f7cfc4848029_png.rf.6faf117b9b48a03e7226813130cb8c31.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1203, "output_tokens": 1272, "elapsed_seconds": 14.709314916981384, "metadata": {"question": "Treat each occupied compartment as one movable stack. What is the minimum number of whole stacks that must be moved so that no two adjacent occupied compartments contain the same color? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 14.7409}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 75, "image": "73825c5f-4954-4824-8572-64ed5602323c_png.rf.fac850718e77f19df27b7bf90d021ba7.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1146, "output_tokens": 262, "elapsed_seconds": 4.912135874968953, "metadata": {"question": "What is the minimum number of doors a person must pass through to travel from Bedroom 2 to Bedroom 4? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.9268}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 76, "image": "ea00a7d2-1d73-45a3-8950-7f911a746913_png.rf.6d8d4591e8c887c3d43e174e43cfd621.jpg", "expected": "24", "predicted": "24", "correct": true, "input_tokens": 1154, "output_tokens": 770, "elapsed_seconds": 9.751561457989737, "metadata": {"question": "Based on the 'Hired From' and 'Hired To' dates listed under Employment Data, for how many full years was the subject employed at SOLAR TRADE? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.7689}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 77, "image": "e8894dda-fd01-4e8f-b233-7aa1c6924174_png.rf.f8d49103c494c77bf0b4a1c79b12bd32.jpg", "expected": "145", "predicted": "145", "correct": true, "input_tokens": 1161, "output_tokens": 264, "elapsed_seconds": 4.693039166973904, "metadata": {"question": "What is the difference in grams between the target weight indicated in the product name and the actual net quantity of this muskmelon? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.7388}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 78, "image": "29f47b83-0092-4736-a8e7-b3ef23a92354_png.rf.fb2f7e6c321affb606a4919b6a7433ae.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1178, "output_tokens": 197, "elapsed_seconds": 4.4820635409560055, "metadata": {"question": "Based on the handwritten dates at the top of the form, how many days elapse between the date the document was written and its effective date? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.4976}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 79, "image": "5cf55f37-8adb-4adb-9520-148340548028_png.rf.e1605fd47b5ae75ba9c34cdcde09e17c.jpg", "expected": "July 10, 2016", "predicted": "July 10, 2016", "correct": true, "input_tokens": 1204, "output_tokens": 1575, "elapsed_seconds": 16.737481666030362, "metadata": {"question": "According to the payment terms and the invoice date, when is payment due? Choose one: June 10, 2016; July 10, 2016; July 5, 2016; August 10, 2016.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 16.7538}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 80, "image": "dae8c81a-4de4-4ef4-9301-25ca1ba03574_png.rf.d6aaed535d1e3ed00116c2b44301deea.jpg", "expected": "away", "predicted": "toward", "correct": false, "input_tokens": 1196, "output_tokens": 1079, "elapsed_seconds": 14.876798375044018, "metadata": {"question": "If a worker grabbed the yellow pallet jack's handle and pulled it straight in the direction the handle currently points, would the jack move generally toward the central packing table or away from it? Choose one: toward or away.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 14.9309}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 81, "image": "9056e25e-2e7e-4746-b766-49e5c6aa52df_png.rf.9e357fa580bcb749370734803ddf5655.jpg", "expected": "left side", "predicted": "left side", "correct": true, "input_tokens": 1181, "output_tokens": 458, "elapsed_seconds": 8.056782542029396, "metadata": {"question": "Based on the door handle's position relative to the vertical seam and the wheel arch at the bottom, which side of the vehicle is shown (from the perspective of a passenger sitting inside and facing forward)? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.1039}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 82, "image": "47ad34a1-d784-48fd-bf0b-9814791703e3_png.rf.0d90c040409da9a682d9d7db5b14476f.jpg", "expected": "yes", "predicted": "yes", "correct": true, "input_tokens": 1162, "output_tokens": 284, "elapsed_seconds": 5.923359958105721, "metadata": {"question": "If the Mercedes moves exactly one lane to its left, would it enter the same lane currently occupied by the smaller black car ahead? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.9965}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 83, "image": "0f7a1b1b-b0f9-4dba-9659-0455701b7a3f_png.rf.28278968509f5982105a211e62ac44b1.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1141, "output_tokens": 527, "elapsed_seconds": 7.07734595797956, "metadata": {"question": "Would improving only the attributes currently rated 4 be sufficient to make every listed attribute receive the highest rating? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.0915}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 84, "image": "0f7a1b1b-b0f9-4dba-9659-0455701b7a3f_png.rf.28278968509f5982105a211e62ac44b1.jpg", "expected": "4.5", "predicted": "4.5", "correct": true, "input_tokens": 1139, "output_tokens": 389, "elapsed_seconds": 4.694909291923977, "metadata": {"question": "What is the average score of the attributes associated with PO11? Answer with a number rounded to one decimal place.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.709}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 85, "image": "be797fcf-056b-44b2-a1da-b667c3185959_png.rf.29cfb688a5b86d169cb8732bb04f0f72.jpg", "expected": "22", "predicted": "24", "correct": false, "input_tokens": 1166, "output_tokens": 4398, "elapsed_seconds": 42.39361791696865, "metadata": {"question": "If the black tray in the foreground has a total capacity of 10 rows with 5 slots per row, how many more devices are needed to completely fill it? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 42.4466}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 86, "image": "861cb64d-800a-4635-999c-739199f8b473_png.rf.c6b83038f9d574bf6dccf2b1554017ec.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1170, "output_tokens": 439, "elapsed_seconds": 6.551684750011191, "metadata": {"question": "Based on the date of the letter and the details provided in the text, how many days are expected to elapse between the date the check was mailed and the date MDA is expected to receive it? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.5684}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 87, "image": "22c3fc7f-6563-4f41-8eac-8c7d425b5633_png.rf.2dd8b94855832744d13e2f1185950566.jpg", "expected": "18", "predicted": "18", "correct": true, "input_tokens": 1173, "output_tokens": 703, "elapsed_seconds": 9.63835762499366, "metadata": {"question": "Based on the manpower details table, what is the total number of normal hours (NOR) worked by all listed employees combined on this day? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.6711}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 88, "image": "e47241e5-70ca-420f-9c96-05b3095ff135_png.rf.7a32ff91ffc2f7aad43c713c84c3052b.jpg", "expected": "G003...80", "predicted": "G003...80", "correct": true, "input_tokens": 1227, "output_tokens": 527, "elapsed_seconds": 6.962036416982301, "metadata": {"question": "A designer needs a resistor with a resistance of 2.0 k\u03a9 and a tolerance of \u00b10.05%. Based on the specifications, what is the Global Model of the lightest resistor that meets these requirements? Choose one: G001...80, G002, G003...80, or G005.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.0121}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 89, "image": "1c9d39fb-7707-4058-8d39-5ef46b4d46bf_png.rf.3c3842ab73120c2d5d767bf08e3b9b44.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1186, "output_tokens": 668, "elapsed_seconds": 9.418821625062265, "metadata": {"question": "From the perspective of the driver seated inside the white pickup and facing its direction of travel, on which side of the truck is the pedestrian? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.4793}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 90, "image": "2d031b53-a61c-4de0-b98e-52b14a4c6fcc_png.rf.1abec44486981464bee69aff5fc4acdd.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1158, "output_tokens": 922, "elapsed_seconds": 11.395384625066072, "metadata": {"question": "Assuming each of the two pizzas on the warming station was originally cut into 6 equal slices, how many slices in total have been sold? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.4262}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 91, "image": "d06e0e70-1bed-4998-bcd4-bc8eccac71d3_png.rf.bd4e209d1eda6cadcb0362c0e61a56a0.jpg", "expected": "253730", "predicted": "253730", "correct": true, "input_tokens": 1183, "output_tokens": 763, "elapsed_seconds": 8.559830832993612, "metadata": {"question": "Using a rule of Medium priority before Low priority, then earliest Created Date to break a tie, which visible ticket should be handled next? Answer with ticket ID.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.5916}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 92, "image": "d06e0e70-1bed-4998-bcd4-bc8eccac71d3_png.rf.bd4e209d1eda6cadcb0362c0e61a56a0.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1182, "output_tokens": 541, "elapsed_seconds": 10.266215166891925, "metadata": {"question": "What is the time difference in hours between the earliest and latest tickets created on Apr 6, 2026? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.2976}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 93, "image": "b3f197fe-81ad-4fc1-bd69-d3b01d48b2b8_png.rf.5abbc57e2abc00bdf8184ff41d45e10c.jpg", "expected": "right hand", "predicted": "left hand", "correct": false, "input_tokens": 1145, "output_tokens": 4614, "elapsed_seconds": 56.971460791886784, "metadata": {"question": "Based on the position of the thumb and fingers, which hand is the operator using to hold the scanner? Choose one: left hand or right hand.", "strict_correct": false, "judge_correct": false, "attempts": 3, "retries": 2, "total_seconds": 187.2999, "transient_errors": ["RemoteProtocolError", "RemoteProtocolError"]}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 94, "image": "b3f197fe-81ad-4fc1-bd69-d3b01d48b2b8_png.rf.5abbc57e2abc00bdf8184ff41d45e10c.jpg", "expected": "up", "predicted": "up", "correct": true, "input_tokens": 1163, "output_tokens": 521, "elapsed_seconds": 7.702849416993558, "metadata": {"question": "Keeping the scanner at its current tilt so the beam stays horizontal, in which direction should the worker shift the beam so it crosses a barcode's bars perpendicularly and can decode it? Choose one: up, down, left, or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.7848}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 95, "image": "0d8b9fdc-32fc-4324-9e81-414d7762982a_png.rf.10e3ab24f0cc229fc194f19150a9088a.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1167, "output_tokens": 337, "elapsed_seconds": 7.189413582906127, "metadata": {"question": "Which room number becomes completely isolated from all other rooms if the sliding door SD is closed? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.2116}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 96, "image": "0d8b9fdc-32fc-4324-9e81-414d7762982a_png.rf.10e3ab24f0cc229fc194f19150a9088a.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1174, "output_tokens": 696, "elapsed_seconds": 8.591656625038013, "metadata": {"question": "What is the minimum number of doors a person must pass through to travel from BedRoom 2 to BathRoom 5? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.6128}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 97, "image": "56b1bbe0-a003-4ba6-8cb2-08dd2f74a08a_png.rf.48d53e8f7bf6d0dbcf9eb16889b0777a.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1177, "output_tokens": 237, "elapsed_seconds": 3.7653109160019085, "metadata": {"question": "Based on the relative timestamps shown in the screenshot of the thread, how many hours after Benji Taylor's post did Paul Macgregor post his response? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.7758}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 98, "image": "c2dd6dca-767e-4fe1-8dfb-ead3a37507db_png.rf.96bbfed9aead2bbd919d3b4c1237287a.jpg", "expected": "1.3%", "predicted": "1.3%", "correct": true, "input_tokens": 1178, "output_tokens": 1062, "elapsed_seconds": 14.5349047499476, "metadata": {"question": "Comparing the loading units and offloading units recorded on the note, what percentage of the loaded manganese ore fines was lost in transit? Answer with a percentage rounded to one decimal place.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 14.5816}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 99, "image": "c2dd6dca-767e-4fe1-8dfb-ead3a37507db_png.rf.96bbfed9aead2bbd919d3b4c1237287a.jpg", "expected": "520", "predicted": "520", "correct": true, "input_tokens": 1167, "output_tokens": 529, "elapsed_seconds": 8.422832375043072, "metadata": {"question": "What is the difference between the loading units and the offloading units recorded on this delivery note? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.4697}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 100, "image": "d8552ab5-9930-4bd4-a00c-0f4adbeb76e4_png.rf.fc1f316aa3e9348a20e81d0e619cfa66.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1183, "output_tokens": 2697, "elapsed_seconds": 32.562981500057504, "metadata": {"question": "If this document is folded exactly in half by bringing the top edge down to meet the bottom edge, will the two punched holes on the left margin align to overlap each other? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 32.5758}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 101, "image": "42990fe8-872a-4d4e-a1f9-7926a990b803_png.rf.542a9bb854b1ddec7ea9b3c71f102c32.jpg", "expected": "13", "predicted": "13", "correct": true, "input_tokens": 1140, "output_tokens": 586, "elapsed_seconds": 5.982906459015794, "metadata": {"question": "What is the difference between the number of recorded heights that are at least 150 centimetres and those that are under 142 centimetres? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.9877}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 102, "image": "bcf2178d-166f-4ae9-a0ef-40c03e873d7b_png.rf.45781833e957384c1cc81ae703e548a8.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1187, "output_tokens": 826, "elapsed_seconds": 12.279178416007198, "metadata": {"question": "Judging from the direction traffic travels on this roadway, which barrier are the two crashed SUVs resting against from the perspective of drivers on this road? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 12.3234}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 103, "image": "e8acc7bd-43d8-4902-8871-758a81216657_png.rf.3fdb3f122bcab387f522f1113b53a202.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1193, "output_tokens": 795, "elapsed_seconds": 13.734142416040413, "metadata": {"question": "A goaltender standing in the crease of the visible net faces up-ice toward the oncoming play. Are the majority of the green-jerseyed players currently on his left side? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 13.7904}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 104, "image": "c9dbd271-e8bd-4a4c-9d90-dcc53a4910f6_png.rf.7b116829f9e80042e6ff64cae0ce75bd.jpg", "expected": "18", "predicted": "17", "correct": false, "input_tokens": 1193, "output_tokens": 2556, "elapsed_seconds": 32.923937041079625, "metadata": {"question": "Using standard chess piece values where a pawn is 1 point, a bishop or knight is 3 points, and a rook is 5 points, what is the total point value of the captured white pieces set aside on the right? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 32.9588}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 105, "image": "4409ba1c-5b55-47e4-8fb3-ed245021d0bb_png.rf.274f7c4fb87e3efa82cd64b8840d0de7.jpg", "expected": "75.00", "predicted": "75.00", "correct": true, "input_tokens": 1151, "output_tokens": 494, "elapsed_seconds": 6.044311875011772, "metadata": {"question": "If the customer had decided to keep the Lipsy Bikini Bottoms instead of returning them, what would the total refunded amount be? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.1011}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 106, "image": "dc0f068d-8a08-4674-8415-973756621fea_png.rf.e7ad2a97bf4cfd59534ddd786e1bfa09.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1180, "output_tokens": 1088, "elapsed_seconds": 10.298344250069931, "metadata": {"question": "What is the difference between the number of times 'C' is marked and the number of times 'D' is marked on this sheet? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.302}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 107, "image": "fd40be2e-2c23-4d4f-9af8-bee299b30fb0_png.rf.d32862e3f7c08fa121abceaa35a724bf.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1142, "output_tokens": 971, "elapsed_seconds": 10.482381999958307, "metadata": {"question": "How many of the 9 columns in the vending machine contain at least one bottle with a green cap? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.5167}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 108, "image": "39e13a5d-7f3d-4cb3-b99e-5a31236bdb32_png.rf.ac7593ea805bf54030232955f3054140.jpg", "expected": "38", "predicted": "38", "correct": true, "input_tokens": 1155, "output_tokens": 648, "elapsed_seconds": 7.035893792053685, "metadata": {"question": "If we want to fill the display cabinet so that every compartment contains exactly one car, how many additional cars must be added? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.0413}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 109, "image": "ed033e2a-4072-4930-98ed-35aa45aee1d9_png.rf.3b133b1ed5ad005654d6d55fde0e6a80.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1178, "output_tokens": 811, "elapsed_seconds": 11.478933208971284, "metadata": {"question": "From the perspective of a driver sitting inside the cab of the dump truck with the green tarp and looking forward, which side door of the cab is open? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.5384}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 110, "image": "25e6ed9c-2d37-4533-8021-977770aa97d1_png.rf.5e4c7a4776bb280dedd569d309846abd.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1182, "output_tokens": 331, "elapsed_seconds": 5.754384999978356, "metadata": {"question": "Without adding or removing any cylinders, can the load be rearranged so that all four horizontal rows contain exactly the same number of cylinders? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.797}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 111, "image": "17a88e1e-fb1c-46f0-8620-8f19854b8fff_png.rf.e4fb269a60ea85233a7bdd3d43ef4aa1.jpg", "expected": "right side", "predicted": "right side", "correct": true, "input_tokens": 1195, "output_tokens": 457, "elapsed_seconds": 7.714910582988523, "metadata": {"question": "Based on the relative positions of the wheel and the front fog light, which side of the vehicle (from the perspective of a driver sitting inside and looking forward) is damaged? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.7333}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 112, "image": "3a1d4bd3-6db0-4cda-881d-e9ae4c194abb_png.rf.34d91902d10ee43e73241d5a9df8fa98.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1157, "output_tokens": 326, "elapsed_seconds": 6.552526292041875, "metadata": {"question": "From the perspective of an officer sitting in the driver's seat of this SUV and facing forward, on which side of the vehicle is the person in the hooded sweatshirt standing? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.6334}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 113, "image": "0c721c3c-19a5-4857-89af-7d480d1a8ad6_png.rf.d4d68898257830e57382ff91e2ca4912.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1185, "output_tokens": 3698, "elapsed_seconds": 26.537152291974053, "metadata": {"question": "A patient must take medication only on odd-numbered days of the week (days 1, 3, 5, and 7), leaving even-numbered days (days 2, 4, and 6) empty. How many of the 28 trays are prepared exactly according to this schedule? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 26.6012}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 114, "image": "0c721c3c-19a5-4857-89af-7d480d1a8ad6_png.rf.d4d68898257830e57382ff91e2ca4912.jpg", "expected": "8", "predicted": "7", "correct": false, "input_tokens": 1154, "output_tokens": 5011, "elapsed_seconds": 42.37742775003426, "metadata": {"question": "A patient must take medication every day of the week, with all seven days filled. How many of the 28 trays are prepared exactly according to this schedule? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 42.4436}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 115, "image": "fd7145ce-ff54-42eb-b555-006479012309_png.rf.b64dc2701743bae035f831b7e381d8a1.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1162, "output_tokens": 391, "elapsed_seconds": 5.4038536249427125, "metadata": {"question": "Based on the handwritten entries in the rent table, how many of the listed periods have a base monthly rent of exactly $2500.00? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.4226}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 116, "image": "62bb473c-8343-402f-a809-8a36d42884ff_png.rf.979d16777be23bdc0037837ff45a8b29.jpg", "expected": "14", "predicted": "14", "correct": true, "input_tokens": 1196, "output_tokens": 1284, "elapsed_seconds": 14.021391457994469, "metadata": {"question": "If a fully stocked column in this tray contains exactly 7 ice creams, how many additional ice creams are needed to fully stock all 7 columns (numbered 31 through 37)? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 14.0722}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 117, "image": "94bfcdd8-0a2b-4903-95da-34fea7e1899c_png.rf.73c78580b0e05542ed686abf5b77f46d.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1151, "output_tokens": 350, "elapsed_seconds": 5.679053208092228, "metadata": {"question": "Based on the printed date of birth and date of expiry, will the cardholder have already turned 40 years old by the time this card expires? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.7511}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 118, "image": "b8891395-36f3-42e5-a1d2-616a922e0771_png.rf.b7e3860f9d0d9ab3e7f7fd0a6742a738.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1165, "output_tokens": 608, "elapsed_seconds": 9.915602750028484, "metadata": {"question": "Before the pharmacist can sweep the loose capsules on the tray surface into the transparent channel at the top, must the clear cover first be lifted open? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.9977}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 119, "image": "7315cbf8-64fb-436e-8446-d2f061545df7_png.rf.6f038540710afe5f888b22200ca39932.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1138, "output_tokens": 1517, "elapsed_seconds": 14.970003624912351, "metadata": {"question": "What is the minimum number of additional dominoes needed so that all five visible tiles can be used in one valid matching chain? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 15.0318}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 120, "image": "7315cbf8-64fb-436e-8446-d2f061545df7_png.rf.6f038540710afe5f888b22200ca39932.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1146, "output_tokens": 1098, "elapsed_seconds": 12.014643999980763, "metadata": {"question": "If no new dominoes may be added, what is the minimum number of visible tiles that must be left out to arrange all the others as one valid matching chain? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 12.0606}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 121, "image": "7315cbf8-64fb-436e-8446-d2f061545df7_png.rf.6f038540710afe5f888b22200ca39932.jpg", "expected": "8", "predicted": "8", "correct": true, "input_tokens": 1138, "output_tokens": 555, "elapsed_seconds": 6.498637542012148, "metadata": {"question": "What is the total number of dots (pips) across all the dominoes that have at least one completely blank half? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.5608}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 122, "image": "841a0a03-fb48-4b1b-8e75-8abef424a913_png.rf.f11c6efbf5e3b71b7477a83694d80fce.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1154, "output_tokens": 338, "elapsed_seconds": 9.14756904100068, "metadata": {"question": "If the container is carrying 28,000 kg of cargo, can an additional 900 kg shipment be loaded without exceeding the stated payload limit? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.2295}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 123, "image": "ddb36742-789d-4a6f-a256-5998c9acd5cd_png.rf.f0ede67f0e9f049e1f036fb52b97641d.jpg", "expected": "4.40", "predicted": "4.40", "correct": true, "input_tokens": 1127, "output_tokens": 1631, "elapsed_seconds": 15.17247416707687, "metadata": {"question": "Based on the regular prices listed on the receipt, how much total money was saved on the discounted items compared to their regular prices? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 15.2084}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 124, "image": "3cd889b7-4626-47fe-af90-b98b2d5ffdfc_png.rf.7515e2b89f3d7561f907f84154e00de5.jpg", "expected": "3921.09", "predicted": "3921.09", "correct": true, "input_tokens": 1195, "output_tokens": 1643, "elapsed_seconds": 16.45423637505155, "metadata": {"question": "Among the seven individual items listed in the table on this page, what is the sum of the amounts for the items that expire in the year 2028? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 16.5154}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 125, "image": "3cd889b7-4626-47fe-af90-b98b2d5ffdfc_png.rf.7515e2b89f3d7561f907f84154e00de5.jpg", "expected": "15", "predicted": "15", "correct": true, "input_tokens": 1188, "output_tokens": 706, "elapsed_seconds": 11.41924745903816, "metadata": {"question": "Among the seven individual items listed in the table on this page, what is the total quantity of items that have a discount of 6.00%? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.4651}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 126, "image": "f035f306-754e-4ab9-bd14-80de6cb9353f_png.rf.463bdd12d569cb3ed06ddefa4f7c0544.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1141, "output_tokens": 571, "elapsed_seconds": 15.51650566700846, "metadata": {"question": "If you group all the visible beans into sets of three, how many beans will remain ungrouped? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 15.5742}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 127, "image": "32beea2c-22a7-4032-9914-2b8af79a6ca6_png.rf.afa9d4a51e3264b766523b0b6c43118f.jpg", "expected": "yes", "predicted": "yes", "correct": true, "input_tokens": 1164, "output_tokens": 289, "elapsed_seconds": 7.365560165955685, "metadata": {"question": "Does the circled total score in red at the bottom-left corner equal the sum of all individual question scores marked in red on this page? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.4016}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 128, "image": "1b4e5426-d109-4398-8e45-ab1dc497980f_png.rf.da896199922990bcefe9fec6ce57cec6.jpg", "expected": "11", "predicted": "11", "correct": true, "input_tokens": 1190, "output_tokens": 666, "elapsed_seconds": 8.486952375038527, "metadata": {"question": "If each correct red-circled response earns one point and the blue worked example is excluded, what is the student's score out of 12? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.5141}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 129, "image": "864cf752-35ed-44ca-9e73-a27ba19cecb3_png.rf.d9a6b6882d7d84ae1066efdb3590df46.jpg", "expected": "12", "predicted": "12", "correct": true, "input_tokens": 1182, "output_tokens": 380, "elapsed_seconds": 5.997749542002566, "metadata": {"question": "If the player currently holding the ball successfully shoots and scores from her current position, what will Washington's total score become? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.0502}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 130, "image": "bffbaa49-7832-430e-995d-4db0336f7444_png.rf.705666d967baf405ca5b8c91e2e291d1.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1167, "output_tokens": 1068, "elapsed_seconds": 11.806222958024591, "metadata": {"question": "If three nuts are allocated to one mounting job, can five complete mounting jobs be supplied from the visible nuts? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.8655}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 131, "image": "3cc9dff1-0e00-4900-9013-00d7b1be6a09_png.rf.4fb05de3247bdec3e1119e997d8f465b.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1206, "output_tokens": 5316, "elapsed_seconds": 60.869361750083044, "metadata": {"question": "Based on the runners' current positions relative to the finish line on the right, which lane contains the runner currently in second place? Answer with a single integer, counting lanes from top (Lane 1) to bottom (Lane 8).", "strict_correct": true, "judge_correct": true, "attempts": 2, "retries": 1, "total_seconds": 123.2358, "transient_errors": ["RemoteProtocolError"]}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 132, "image": "4963b4c1-9126-48bc-ac30-e28cf692d079_png.rf.b0fe0fbf8e74b310187bebdb4e04529c.jpg", "expected": "right side", "predicted": "right side", "correct": true, "input_tokens": 1190, "output_tokens": 594, "elapsed_seconds": 10.135957082966343, "metadata": {"question": "Based on the visible wheel and headlight positions, which front side of the vehicle has the scuffed fender from the driver's forward-facing perspective? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.2396}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 133, "image": "6b1464af-2a20-4dc1-9b69-67b163aad58b_png.rf.5558871ebbc74585da7539ae1c82803b.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1158, "output_tokens": 1811, "elapsed_seconds": 18.337932333932258, "metadata": {"question": "Identify the column in the seedling tray that contains the longest continuous vertical sequence of empty plugs (containing only soil with no sprouted seedlings). How many empty plugs are in this longest sequence? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 18.4168}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 134, "image": "6b1464af-2a20-4dc1-9b69-67b163aad58b_png.rf.5558871ebbc74585da7539ae1c82803b.jpg", "expected": "top half", "predicted": "top half", "correct": true, "input_tokens": 1163, "output_tokens": 3164, "elapsed_seconds": 25.84738816600293, "metadata": {"question": "If the seedling tray is divided horizontally into a top half (rows 1 to 6) and a bottom half (rows 7 to 12), which half contains more empty plugs? Choose one: top half or bottom half.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 25.9285}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 135, "image": "dea1a5c6-1f2e-4b07-946a-898cd8732f5f_png.rf.2317c0f63fa82df7683229a1fb7f5cd0.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1135, "output_tokens": 542, "elapsed_seconds": 8.510944540961646, "metadata": {"question": "How many shelves in the vending machine are stocked exclusively with water bottles? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.6005}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 136, "image": "93bf4bd9-63d1-4a73-97c8-e0e904fd029c_png.rf.c1d6a7530844ca542169fdee4d809e3e.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1145, "output_tokens": 849, "elapsed_seconds": 11.698605875018984, "metadata": {"question": "If the pressure rises by 1 bar from the gauge's current reading, would the needle enter the red warning band? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.7916}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 137, "image": "47352e6f-33b7-4c16-a520-03c8afe4c357_png.rf.4232d80b4b83ee4ee01af34332beae25.jpg", "expected": "on top", "predicted": "on top", "correct": true, "input_tokens": 1176, "output_tokens": 622, "elapsed_seconds": 9.3712434170302, "metadata": {"question": "Between the two crossed straight pins with black heads, does the pin with its black head at the bottom-right lie on top of or underneath the other pin? Choose one: on top or underneath.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.4523}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 138, "image": "40a321ee-89d8-4846-a3cf-b01413e971a3_png.rf.fbb996228d647f5d917d28665d8698db.jpg", "expected": "lower right", "predicted": "lower right", "correct": true, "input_tokens": 1168, "output_tokens": 395, "elapsed_seconds": 9.042854833067395, "metadata": {"question": "Based on the long shadows cast by the cattle, from which direction in the image is the sunlight coming? Choose one: upper left, upper right, lower left, or lower right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.0779}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 139, "image": "9c949507-b9b3-4a20-b76b-24512aedea5e_png.rf.450473e96e9282304c85265164cf0d78.jpg", "expected": "increase", "predicted": "increase", "correct": true, "input_tokens": 1145, "output_tokens": 309, "elapsed_seconds": 7.0037847079802305, "metadata": {"question": "To move the indicated pressure into the green operating band using the smallest change, should the pressure be increased or decreased? Choose one: increase or decrease.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.0969}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 140, "image": "e3685148-49ec-4ad2-9f50-8d9133ce35cd_png.rf.b2bbd5b99df26d40ae43a5cd2cf549c7.jpg", "expected": "no", "predicted": "Yes", "correct": false, "input_tokens": 1155, "output_tokens": 1636, "elapsed_seconds": 19.2786818749737, "metadata": {"question": "If a customer has a budget of 30.00 \u20ac, do they have enough money to buy one box of Berocca Boost and one box of Berocca Energie? Answer yes or no.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 19.3755}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 141, "image": "d7a763ce-28eb-4366-9169-d68f30a452b5_png.rf.b74d57acbfc696374bd43af86dc6931d.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1159, "output_tokens": 578, "elapsed_seconds": 9.032874834025279, "metadata": {"question": "Can a person travel from the Chambre to the Cuisine without entering the Salon? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.0945}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 142, "image": "d7a763ce-28eb-4366-9169-d68f30a452b5_png.rf.b74d57acbfc696374bd43af86dc6931d.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1169, "output_tokens": 419, "elapsed_seconds": 7.021129250060767, "metadata": {"question": "Starting from outside the apartment, what is the minimum number of doors a person must pass through to enter the SDB? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.079}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 143, "image": "c46b41e5-447a-47dd-8780-7877ae92faef_png.rf.baa63153d8d89462d240f65b8eda302b.jpg", "expected": "correct lane", "predicted": "oncoming lane", "correct": false, "input_tokens": 1182, "output_tokens": 4765, "elapsed_seconds": 53.07939708302729, "metadata": {"question": "Based on standard United States road marking rules, is this vehicle driving in the correct lane or the oncoming lane? Choose one: correct lane or oncoming lane.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 53.1247}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 144, "image": "ac750e7d-de93-4813-828d-409d16bd176b_png.rf.6559b085ab129da83454776a9ff2f3c3.jpg", "expected": "20", "predicted": "20", "correct": true, "input_tokens": 1155, "output_tokens": 390, "elapsed_seconds": 5.528419750044122, "metadata": {"question": "Based on the handwritten corrections, what is the difference between the original printed total number of events and the revised number of events? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.5415}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 145, "image": "76b25762-3b57-4158-9fab-945416165ada_png.rf.9990ab2a22469b04a599b81d43f7c09d.jpg", "expected": "118.00", "predicted": "118.00", "correct": true, "input_tokens": 1151, "output_tokens": 863, "elapsed_seconds": 10.466980083961971, "metadata": {"question": "If the ribeye and the Afri Hot Chilli sauce are paid for separately, how much remains for the rest of the bill? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.562}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 146, "image": "d0b99ce8-8a3b-4d1d-98d4-b34137b19f08_png.rf.135586d63ba8944adf934e8d0cd9cc00.jpg", "expected": "1648", "predicted": "1648", "correct": true, "input_tokens": 1164, "output_tokens": 1043, "elapsed_seconds": 10.652135749929585, "metadata": {"question": "What is the earliest year printed on any of the stamps in this sheet? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.737}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 147, "image": "c91f10e7-1c18-434d-b9e6-2e570646da9d_png.rf.20b9e5afdcfab594a06be3928964180f.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1180, "output_tokens": 689, "elapsed_seconds": 9.505169792100787, "metadata": {"question": "If a driver without disability parking authorization wanted to use the space occupied by the dark sedan, would parking there be permitted? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.539}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 148, "image": "8e2f7010-f314-4b13-badc-9a24ecdd1a45_png.rf.6aef955cc77c9959113ec1f1db73b0c3.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1151, "output_tokens": 627, "elapsed_seconds": 9.231354249990545, "metadata": {"question": "From the perspective of the truck driver seated in the cab and looking forward through the windshield, on which side is the large pyramid of blue drums? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.2814}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 149, "image": "76d985c4-8ba2-4660-871b-939bba136896_png.rf.42cd356e987e94c1579c6ffb589f753c.jpg", "expected": "yes", "predicted": "yes", "correct": true, "input_tokens": 1172, "output_tokens": 706, "elapsed_seconds": 8.227378208073787, "metadata": {"question": "If a qualifying shot must land in the 9-ring or closer to the center, has the target recorded at least five qualifying shots? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.3025}} +{"model": "gemini-4-argon", "effort": "high", "task": "reasoning", "timestamp": "20261013_072018", "index": 150, "image": "76d985c4-8ba2-4660-871b-939bba136896_png.rf.42cd356e987e94c1579c6ffb589f753c.jpg", "expected": "60", "predicted": "60", "correct": true, "input_tokens": 1163, "output_tokens": 1772, "elapsed_seconds": 20.096106458106078, "metadata": {"question": "What is the total score of all shots that landed within the black region of the target? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 20.1691}} diff --git a/results/reasoning_gemini-4-argon_low_20261012_224150.jsonl b/results/reasoning_gemini-4-argon_low_20261012_224150.jsonl new file mode 100644 index 0000000..83256f2 --- /dev/null +++ b/results/reasoning_gemini-4-argon_low_20261012_224150.jsonl @@ -0,0 +1,151 @@ +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 0, "image": "85202175-9c3b-4a40-b0a9-3c0d33e250b6_png.rf.9afa602969ee1e53f32d2cd370c4c96b.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1157, "output_tokens": 5, "elapsed_seconds": 4.160929334000684, "metadata": {"question": "If a worker wants to rearrange the five numbered pipes so that their labels are in strictly ascending order from top to bottom, what is the minimum number of pipes that must be moved? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.2171}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 1, "image": "4f216ea0-af67-40e1-a226-2884e051db56_png.rf.09105ef6b5dab81d9f1a17fd1c6b2c34.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1147, "output_tokens": 5, "elapsed_seconds": 3.492894708062522, "metadata": {"question": "How many days after the date written on the top right of the letter is the patient's kidney transplant scheduled to take place? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.556}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 2, "image": "d0980bab-2f15-4550-b3e6-813a2ad7e709_png.rf.46eb3c9c65328046e37275727bbeba8f.jpg", "expected": "1/2", "predicted": "1/2", "correct": true, "input_tokens": 1185, "output_tokens": 7, "elapsed_seconds": 3.8345248750410974, "metadata": {"question": "Given that the selected number satisfies condition (iii), what is the probability that it also satisfies condition (iv)? Choose one: 0, 1/4, 1/2, or 1.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.9026}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 3, "image": "85133aaa-d105-42fc-9fb7-95b84cbcead1_png.rf.dd175df27fe32c388e49c027b817bd77.jpg", "expected": "opposite directions", "predicted": "opposite directions", "correct": true, "input_tokens": 1197, "output_tokens": 6, "elapsed_seconds": 4.904666583053768, "metadata": {"question": "In the paved courtyard, a white car and a dark grey sedan are parked side-by-side in the middle. Are these two vehicles parked facing the same direction or opposite directions? Choose one: same direction or opposite directions.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.0004}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 4, "image": "cf479a9e-f37a-4a83-ba88-9c8813100830_png.rf.39718b9777bb616b7fab6dd75e98da87.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1163, "output_tokens": 5, "elapsed_seconds": 3.762261208030395, "metadata": {"question": "From the perspective of the customer standing at the checkout facing the screen, on which side of the scanner is the bagging platform with the plastic bags located? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.8173}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 5, "image": "afb31dc3-8a6d-445f-ac38-f772de2bccd4_png.rf.592a5fece3103b7455dd062f81f25633.jpg", "expected": "upper-left", "predicted": "upper-left", "correct": true, "input_tokens": 1173, "output_tokens": 7, "elapsed_seconds": 4.479001707979478, "metadata": {"question": "Judging by the direction the building shadows point across the block, toward which corner of the image does the sunlight appear to be shining from (i.e., shadows point away from that corner)? Choose one: upper-left, upper-right, lower-left, or lower-right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.5526}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 6, "image": "52dc8fa9-e959-409e-baeb-84dd14382804_png.rf.48fb415d0a2851464da46f9e94f3598b.jpg", "expected": "Flurotec-coated bromobutyl serum stoppers", "predicted": "Flurotec-coated bromobutyl serum stoppers", "correct": true, "input_tokens": 1179, "output_tokens": 14, "elapsed_seconds": 8.726960374973714, "metadata": {"question": "Which packaging material was dispensed furthest above its required quantity? Choose one: amber glass vial, Flurotec-coated bromobutyl serum stoppers, or purple flip-off seal.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.8148}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 7, "image": "badd5270-702b-4161-804a-3875ebeaab25_png.rf.87a2d89de755bd8e677f27f6c325b675.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1182, "output_tokens": 5, "elapsed_seconds": 3.0358967080246657, "metadata": {"question": "In the visible table, what is the difference between the number of rows with Real Customer Group '1278' and those with '1001'? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.0558}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 8, "image": "badd5270-702b-4161-804a-3875ebeaab25_png.rf.87a2d89de755bd8e677f27f6c325b675.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1170, "output_tokens": 5, "elapsed_seconds": 2.719511125003919, "metadata": {"question": "Excluding the row where the Party is 'NONE', how many unique Party values are listed in the table? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7432}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 9, "image": "76bbc10c-bed4-41d3-8622-035eeabc5596_png.rf.b20dacd6d7f36277f12a5de62bcc77d5.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1143, "output_tokens": 5, "elapsed_seconds": 5.677971958997659, "metadata": {"question": "How many total boxes of trial lenses are missing from the column labeled 110 in the bottom section? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.7908}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 10, "image": "76bbc10c-bed4-41d3-8622-035eeabc5596_png.rf.b20dacd6d7f36277f12a5de62bcc77d5.jpg", "expected": "+1.00", "predicted": "+1.00", "correct": true, "input_tokens": 1160, "output_tokens": 9, "elapsed_seconds": 3.810386750032194, "metadata": {"question": "In the bottom section, which SPH power row is completely empty across all five columns? Choose one: +3.00, +2.00, +1.00, or -6.00.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.9232}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 11, "image": "f76b953e-a7af-4f0b-b25d-8464103c4b2d_png.rf.2323d361c5c1df73ba3feca61d206a76.jpg", "expected": "278", "predicted": "278", "correct": true, "input_tokens": 1145, "output_tokens": 7, "elapsed_seconds": 6.783595165936276, "metadata": {"question": "According to the nutritional information, how many total calories (Kcal) are contained in a portion of this snack that contains exactly 18 grams of fat? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.8172}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 12, "image": "f76b953e-a7af-4f0b-b25d-8464103c4b2d_png.rf.2323d361c5c1df73ba3feca61d206a76.jpg", "expected": "58.3%", "predicted": "58.3%", "correct": true, "input_tokens": 1148, "output_tokens": 9, "elapsed_seconds": 4.198343624942936, "metadata": {"question": "Based on the nutritional information per 100g, what percentage of the total energy comes from fat, using 9 kcal per gram of fat? Answer with a percentage rounded to one decimal place.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.2365}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 13, "image": "bb5d817a-0216-4404-a737-dc3a118edda4_png.rf.de0c951943b6ce799e856483fae63599.jpg", "expected": "2.742", "predicted": "2.742", "correct": true, "input_tokens": 1169, "output_tokens": 9, "elapsed_seconds": 2.831579999998212, "metadata": {"question": "Based on the technical drawing, what is the horizontal distance between the leftmost center of the left slot and the vertical centerline of the top hole? Answer with a number rounded to three decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8453}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 14, "image": "f1f21256-337e-4348-ab9a-13351b9666bc_png.rf.f7241e285cd093e86b7c7fa3968fcf5d.jpg", "expected": "11", "predicted": "11", "correct": true, "input_tokens": 1168, "output_tokens": 6, "elapsed_seconds": 3.1129944999702275, "metadata": {"question": "How many days elapse between the date the delivery note was issued and the scheduled delivery date? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.121}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 15, "image": "dc13d7fa-f450-4040-a92b-a7d4f065e31d_png.rf.72799758463340501608cda7b66e2b78.jpg", "expected": "6", "predicted": "23", "correct": false, "input_tokens": 1159, "output_tokens": 6, "elapsed_seconds": 3.393441499909386, "metadata": {"question": "What is the total number of containers associated with all samples designated as composite ('C') under the collection type? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 3.4345}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 16, "image": "dc13d7fa-f450-4040-a92b-a7d4f065e31d_png.rf.72799758463340501608cda7b66e2b78.jpg", "expected": "no", "predicted": "no", "correct": true, "input_tokens": 1161, "output_tokens": 5, "elapsed_seconds": 4.546630040975288, "metadata": {"question": "Does preservation code N apply to more total containers than preservation code S when every checked row is weighted by its listed container count? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.5876}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 17, "image": "8e5b7a3a-7b69-4663-8f76-5b772006e748_png.rf.f9a5eaa49d2d77a19776b2b8db176942.jpg", "expected": "11.9 cm", "predicted": "11.9 cm", "correct": true, "input_tokens": 1162, "output_tokens": 9, "elapsed_seconds": 3.338934166938998, "metadata": {"question": "Based on the horizontal ruler, what is the length of the blister pack? Choose one: 11.4 cm, 11.9 cm, 12.4 cm, or 12.9 cm.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.3554}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 18, "image": "396282bc-0d15-4e53-8803-7e5b69c1bef0_png.rf.7026903692b33b2e719785561327c679.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1186, "output_tokens": 5, "elapsed_seconds": 2.768121999921277, "metadata": {"question": "If the worker wants to assemble another dessert cup matching those on the trays, can it be completed using only the loose ingredients visibly available on the table? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8181}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 19, "image": "ea5e1584-2445-412a-ab88-341719a020fb_png.rf.e18e5930f3b7aaeffe6681b1e4b5928d.jpg", "expected": "4026.72", "predicted": "4026.72", "correct": true, "input_tokens": 1188, "output_tokens": 11, "elapsed_seconds": 3.0070753750624135, "metadata": {"question": "If the \u20ac450 rework discount were removed while all other entries and the 19% VAT rate stayed unchanged, what would the resulting invoice total including VAT be? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.0304}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 20, "image": "8f5959cc-c71e-4f39-926e-f88be3cd618b_png.rf.fd70f6581b5f9ef831b77090bcd8e310.jpg", "expected": "250", "predicted": "250", "correct": true, "input_tokens": 1173, "output_tokens": 7, "elapsed_seconds": 2.5617278749123216, "metadata": {"question": "Subtract the total net weight from the total weight gross listed on the delivery note, and express the packaging weight in grams. Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.5738}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 21, "image": "1eae1c65-b395-4666-85f9-bf941b1def2c_png.rf.ee7f186d8bab2cd5b0cfb02161c8302a.jpg", "expected": "4", "predicted": "3", "correct": false, "input_tokens": 1172, "output_tokens": 5, "elapsed_seconds": 4.348055084003136, "metadata": {"question": "How many days elapsed between the date this cleaning record became effective and the date Section E was crossed out and signed? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 4.4082}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 22, "image": "ed48ae7c-8ca6-4fd9-9483-28df8487b82d_png.rf.36fc2484e3acc322295ec134e0068226.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1192, "output_tokens": 5, "elapsed_seconds": 3.6177307090256363, "metadata": {"question": "From the perspective of a driver sitting inside the white sedan and looking forward, on which side of their vehicle's front end did the collision occur? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.6644}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 23, "image": "96a170be-c707-476a-87c6-8f9229dc9735_png.rf.088cef7f2ff77232fe6904a6836a5135.jpg", "expected": "upper row", "predicted": "upper row", "correct": true, "input_tokens": 1183, "output_tokens": 6, "elapsed_seconds": 3.975838915910572, "metadata": {"question": "For an arriving trailer needing an open marked bay, which row offers more parking options: upper row or lower row? Choose one: upper row or lower row.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.0394}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 24, "image": "f7ec4cc8-90a9-4a3f-8603-91de3073b392_png.rf.669686b7efc2f35cae0ce34ba90377ff.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1153, "output_tokens": 5, "elapsed_seconds": 5.741003458038904, "metadata": {"question": "Based on the position of the audio jack plugged into the panel, which side of the boy's head from his own perspective is closer to the plug? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.7531}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 25, "image": "b5ef866d-feb2-411f-ac5c-40c395cc3c62_png.rf.66b42d06fd426729cfaf37fe699ef682.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1179, "output_tokens": 5, "elapsed_seconds": 4.641943332972005, "metadata": {"question": "If a person walks in a straight line from the trampoline in the middle yard to the swing set in the left yard, how many property fence lines must they cross? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.7499}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 26, "image": "eeee1640-5005-460c-a3f3-12dfff951fc5_png.rf.f39545ddd7734560dd9a051e2c230c8c.jpg", "expected": "right side", "predicted": "right side", "correct": true, "input_tokens": 1163, "output_tokens": 6, "elapsed_seconds": 3.966834499966353, "metadata": {"question": "Based on the perspective of a driver sitting inside the van and looking forward, on which side of the vehicle is the textured concrete wall located? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.0159}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 27, "image": "8a9b0190-2516-4613-a33c-114cf5eb8993_png.rf.923b9627464a61d6941c095f16b9c069.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1161, "output_tokens": 5, "elapsed_seconds": 3.171069624950178, "metadata": {"question": "If every visible wrapped burger must be served with its own bag of fries, how many additional bags of fries are needed? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.2383}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 28, "image": "2f5026b8-8dc1-4831-94a4-d9f1c102b0fd_png.rf.17d85e9f6c9abd757c801aa0d47f423e.jpg", "expected": "9", "predicted": "9", "correct": true, "input_tokens": 1148, "output_tokens": 5, "elapsed_seconds": 7.943333165952936, "metadata": {"question": "Counting from the start date of Steel Fabrication to the start date of Fit off on this schedule, how many days elapse in total? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.0737}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 29, "image": "f4155be5-83b2-4214-89e0-b21906a781bd_png.rf.f865f92d82e075d8770a8aa212800d2e.jpg", "expected": "48.50", "predicted": "48.50", "correct": true, "input_tokens": 1167, "output_tokens": 9, "elapsed_seconds": 3.168693833053112, "metadata": {"question": "What is the actual total cost of all liquid beverages (Coke Zero, Pot Of Tea, Mochaccino, and Latte) listed on the receipt? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.2286}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 30, "image": "f4155be5-83b2-4214-89e0-b21906a781bd_png.rf.f865f92d82e075d8770a8aa212800d2e.jpg", "expected": "247.50", "predicted": "247.50", "correct": true, "input_tokens": 1158, "output_tokens": 10, "elapsed_seconds": 3.0862271250225604, "metadata": {"question": "If the group had ordered only one Mochaccino instead of two, what would the new total bill be? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1461}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 31, "image": "c9b00dcb-e093-43d9-baf8-f1971ff328af_png.rf.41492638acc0aba933dc61f9c675d2c7.jpg", "expected": "22", "predicted": "22", "correct": true, "input_tokens": 1144, "output_tokens": 6, "elapsed_seconds": 3.5378710420336574, "metadata": {"question": "If a patient takes one capsule per day from this pack, how many days of medication are remaining in the pack? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.591}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 32, "image": "b4ac0ec8-9f7d-4769-ae70-3d0a959ca24b_png.rf.85ff21bb1ee3df65bbc402ec233ed80a.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1189, "output_tokens": 5, "elapsed_seconds": 2.9241607500007376, "metadata": {"question": "If the green and blue rings on the right-hand board were swapped, how many ring positions on that board would still differ from the left-hand board? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9714}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 33, "image": "34d45dd0-c14f-4a0a-9ff1-031d92a49ca1_png.rf.85c2cfa50183c292a49aaa7c9b2f0064.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1191, "output_tokens": 5, "elapsed_seconds": 3.210677459021099, "metadata": {"question": "Based on the orientation of the stopped green SUV, on which side of the vehicle is the fallen motorcyclist lying from the perspective of a driver sitting inside looking forward? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.2627}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 34, "image": "403906f1-d101-4a15-b0b3-43f90df6b13e_png.rf.9db9421ec54b4a1bf4b5d2a3462836c6.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1182, "output_tokens": 5, "elapsed_seconds": 4.81856541603338, "metadata": {"question": "From the perspective of the man standing and walking along the aisle, on which side is the passenger holding reading papers seated? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.9147}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 35, "image": "5a48fe25-9006-45d1-ac0c-fab115eb5d1a_png.rf.3951f54e9e9535809ab4efc645c98048.jpg", "expected": "1", "predicted": "3", "correct": false, "input_tokens": 1153, "output_tokens": 5, "elapsed_seconds": 8.611287583014928, "metadata": {"question": "Based on the stacking limit symbol printed on the boxes, what is the maximum number of additional identical boxes that can be safely stacked on top of the foreground box? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 8.7373}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 36, "image": "6711dc5a-8b63-441e-8fea-910b9298bde9_png.rf.7ed399c3d00da2923147fe6901bc90e0.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1160, "output_tokens": 5, "elapsed_seconds": 3.4043143331073225, "metadata": {"question": "A worker wants to fill the crate's empty floor space with more punnets of the same size, laid flat in a single layer alongside the existing ones. How many additional punnets fit? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.4774}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 37, "image": "04a7e555-066a-4662-be7d-1fab1d0a89bb_png.rf.1c99b9faeb404517267846787ed66438.jpg", "expected": "decreased", "predicted": "decreased", "correct": true, "input_tokens": 1141, "output_tokens": 5, "elapsed_seconds": 4.029939458006993, "metadata": {"question": "To move the shown pressure into the green band, should the system pressure be increased or decreased? Choose one: increased or decreased.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.1061}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 38, "image": "1710a83d-1506-464e-83bf-f015141f1c37_png.rf.bca4b5702f3d41d061d317ac2e0ea038.jpg", "expected": "10", "predicted": "10", "correct": true, "input_tokens": 1183, "output_tokens": 6, "elapsed_seconds": 2.698494166950695, "metadata": {"question": "If a patient can only attend appointments at or after 11:00 AM, how many of the displayed time slots across the entire week are available to them? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7128}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 39, "image": "1f2fe1d2-a6a6-4e60-a8e9-5a44e686ea1f_png.rf.e04f0049aa2caa0571f54b741224339f.jpg", "expected": "0", "predicted": "0", "correct": true, "input_tokens": 1167, "output_tokens": 5, "elapsed_seconds": 3.1087946660118178, "metadata": {"question": "How many of the cans on the table are lying on their side rather than standing upright? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.179}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 40, "image": "986ae5b8-bac5-432c-9ab1-afa7c98c2ef6_png.rf.004ba60e063ba1ac27b397a96d9539ee.jpg", "expected": "ASML Hld", "predicted": "ASML Hld", "correct": true, "input_tokens": 1188, "output_tokens": 8, "elapsed_seconds": 2.3075508329784498, "metadata": {"question": "Which of the following stocks listed under the letter 'A' has a 'Last' price that exceeds its listed 52-week High? Choose one: ASML Hld, ASV Inc s, ATI Tech, or ATMI Inc.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.3385}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 41, "image": "0de03edc-15c5-4782-a74b-7cedb1df477b_png.rf.25fbbbda8291953bf4362acd5ea98104.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1187, "output_tokens": 5, "elapsed_seconds": 3.072155583067797, "metadata": {"question": "Based on the sequential numbering of the exercises, how many numbered problems between (1) and (14) are missing from this worksheet? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.0861}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 42, "image": "107aeb67-63af-49d6-874c-d2505fa3fa43_png.rf.dd08291695888d5c30c0c4d82e0d1f5c.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1148, "output_tokens": 5, "elapsed_seconds": 5.763726415927522, "metadata": {"question": "To open the left door of the container, what is the minimum number of vertical locking bars that must be disengaged across the entire container? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.8609}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 43, "image": "3798710d-6abc-41a9-a6fa-69b36af142fd_png.rf.7513f727ea31e7a4d75594a64c1cd041.jpg", "expected": "168", "predicted": "168", "correct": true, "input_tokens": 1191, "output_tokens": 7, "elapsed_seconds": 4.941513957921416, "metadata": {"question": "According to the red digital display on the right, the current time is shown on the bottom line. If the train is scheduled to reach its destination at 09:35, how many minutes of travel time remain? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.0214}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 44, "image": "dce06136-2d24-422b-a3b6-e100c9a4bad1_png.rf.ac128576e826b2eca821e98b5f31f992.jpg", "expected": "Bihar", "predicted": "Bihar", "correct": true, "input_tokens": 1186, "output_tokens": 5, "elapsed_seconds": 5.690696083009243, "metadata": {"question": "A quality inspector sees a pack whose printed batch number begins with the characters 'AB'. According to the information on this pack, in which Indian state was that pack manufactured? Choose one: Bihar, Haryana, Assam, or Punjab.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.7401}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 45, "image": "de2bbe1d-be94-4d71-97d8-2c316733c49d_png.rf.3e37eee81410925ab9219df63ec1cca0.jpg", "expected": "10", "predicted": "10", "correct": true, "input_tokens": 1167, "output_tokens": 6, "elapsed_seconds": 2.5723462500609457, "metadata": {"question": "If a person consumes exactly three packets per day, what is the maximum number of full days this box of packets will last? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.5978}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 46, "image": "09c2792b-3755-4eee-828f-fa0c2567760f_png.rf.c5f2d9113af4bbc2882b49e0ae573966.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1206, "output_tokens": 5, "elapsed_seconds": 6.792054082965478, "metadata": {"question": "To balance the shelves so that both have an equal number of books, how many books must be moved from the bottom shelf to the top shelf? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.8374}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 47, "image": "57ae8fef-d674-43e7-9cf4-e7aeddb9e311_png.rf.88bc8729d68c7e1a097ea61f60d08ffc.jpg", "expected": "400", "predicted": "400", "correct": true, "input_tokens": 1167, "output_tokens": 7, "elapsed_seconds": 4.4617408328922465, "metadata": {"question": "What is the total value of all the banknotes shown in the image, in Malaysian Ringgit (RM)? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.5555}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 48, "image": "26584325-f95e-41e4-9f4b-99afc5ff078d_png.rf.9c541fbfbbd37f1e00d8f04f9ac40b45.jpg", "expected": "beetroot", "predicted": "beetroot", "correct": true, "input_tokens": 1151, "output_tokens": 6, "elapsed_seconds": 4.366366541944444, "metadata": {"question": "Based on the details of the planted vegetables, which specific vegetable was planted from a tray instead of 6-packs? Choose one: beetroot, celery, coriander, or marigold.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.4465}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 49, "image": "20b7a85e-989a-4fa8-b275-6a1d92d2118a_png.rf.3bcf6e487a9fb4eb1f3f3848b5465060.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1183, "output_tokens": 5, "elapsed_seconds": 3.2191639579832554, "metadata": {"question": "If the white ball-handler shoots without moving his feet, how many points would a made basket be worth under standard basketball rules? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.2758}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 50, "image": "7a31b46f-531b-43e7-895b-4e25e049abb3_png.rf.119ce2ebe0cff7f16bc80422173c188a.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1139, "output_tokens": 5, "elapsed_seconds": 3.4214996669907123, "metadata": {"question": "If only the visible rear door were replaced, would all of the visible scrape damage be eliminated? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.4922}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 51, "image": "7a31b46f-531b-43e7-895b-4e25e049abb3_png.rf.119ce2ebe0cff7f16bc80422173c188a.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1139, "output_tokens": 5, "elapsed_seconds": 5.177988999988884, "metadata": {"question": "From the perspective of a driver seated inside and facing forward, which side is it? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.2491}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 52, "image": "82172a50-05ec-4f75-9b67-02d726a97981_png.rf.b6b418d86b460b5df29a48b3cf9bff9f.jpg", "expected": "yes", "predicted": "no", "correct": false, "input_tokens": 1146, "output_tokens": 5, "elapsed_seconds": 3.016227166983299, "metadata": {"question": "This car is driving toward the viewer's position, and this road follows right-hand traffic rules. Is the car currently keeping to its correct side of the road? Answer yes or no.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 3.0626}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 53, "image": "612c657e-0e9c-4b2b-a741-2d1b1158c172_png.rf.e46b67734667d8de639182c1c6b58968.jpg", "expected": "left hand", "predicted": "left hand", "correct": true, "input_tokens": 1146, "output_tokens": 6, "elapsed_seconds": 3.11292666697409, "metadata": {"question": "Based on the anatomical structure and the grip shown, which of the person's hands is holding the paper? Choose one: left hand or right hand.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1935}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 54, "image": "bc085807-a87c-42c4-85dc-07885733dac6_png.rf.86d16faa2e4e01ea9b2f076098eda3da.jpg", "expected": "2805.47", "predicted": "2805.47", "correct": true, "input_tokens": 1192, "output_tokens": 11, "elapsed_seconds": 3.6198064169147983, "metadata": {"question": "If the customer adds two more units of Product XYZ while the unit price and tax rate stay the same, what will the revised invoice total be? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.6309}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 55, "image": "4d261616-1f0b-4f51-8ebe-eaee7b84825e_png.rf.e8a48b995002e60e7809ef941602370f.jpg", "expected": "left side", "predicted": "left side", "correct": true, "input_tokens": 1162, "output_tokens": 6, "elapsed_seconds": 2.3103330000303686, "metadata": {"question": "From the perspective of a driver seated inside and facing forward, which side of the car contains the visible damage? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.3265}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 56, "image": "7d7e098f-4a0d-4864-b2ea-d57988d4d061_png.rf.950712e3033a1d927b27752329326738.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1180, "output_tokens": 5, "elapsed_seconds": 5.413238666020334, "metadata": {"question": "From the perspective of a driver inside the blue SUV at the bottom of the image looking forward, on which side of their vehicle is the yellow Mazda? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.5326}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 57, "image": "19f45907-d682-40cf-bb87-9133dc873871_png.rf.8d5ae1def0513a436febceba4ca296a6.jpg", "expected": "left hand", "predicted": "left hand", "correct": true, "input_tokens": 1195, "output_tokens": 6, "elapsed_seconds": 3.3640032910043374, "metadata": {"question": "Based on the visible features and orientation of the hand pressing the button, which of the person's hands is being used? Choose one: left hand or right hand.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.3853}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 58, "image": "347cb08d-5018-4506-8ff7-6052b5215bee_png.rf.f2241527449eeba4edc25991a9428857.jpg", "expected": "19190.95", "predicted": "19190.95", "correct": true, "input_tokens": 1199, "output_tokens": 12, "elapsed_seconds": 3.9352129170438275, "metadata": {"question": "If the e-transfer withdrawal to 'budget AUTO glass' on July 15 had not occurred, what would the final balance be after the transaction on July 16? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.9621}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 59, "image": "6bdb57de-1206-40d4-a60a-1ac4c22a0468_png.rf.a9d75682ae8f6507d6225b4fa0e1d7f6.jpg", "expected": "right side", "predicted": "right side", "correct": true, "input_tokens": 1177, "output_tokens": 6, "elapsed_seconds": 3.839132291963324, "metadata": {"question": "From the perspective of the driver sitting inside the vehicle looking forward, on which side of the dashboard is the plush toy located? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.8655}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 60, "image": "97a91186-1382-40c6-8e10-ca36e7a94269_png.rf.f9de5fd2b340b608eb21d6e7fc1d9949.jpg", "expected": "parallel", "predicted": "parallel", "correct": true, "input_tokens": 1186, "output_tokens": 5, "elapsed_seconds": 4.444830582942814, "metadata": {"question": "Consider the log currently held in the grapple above the pile. Is its long axis oriented parallel or perpendicular to the logs stacked in the pile? Choose one: parallel or perpendicular.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.4613}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 61, "image": "68b07f85-3cf2-4e70-af98-06ef0c9d2c58_png.rf.d63e64af870bba743f8c88c43567124d.jpg", "expected": "unloading", "predicted": "loading", "correct": false, "input_tokens": 1168, "output_tokens": 5, "elapsed_seconds": 2.8710792909841985, "metadata": {"question": "Based on the worker's posture and direction of movement, is he loading the stack of red crates into the truck or unloading them from the truck? Choose one: loading or unloading.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 2.9195}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 62, "image": "db85c5c8-8aa2-4f36-93dd-7f73a9c7b9c0_png.rf.d13c340009833ccd6defe35016843595.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1186, "output_tokens": 5, "elapsed_seconds": 4.572648707893677, "metadata": {"question": "From the perspective of a driver sitting inside the car and looking forward, on which side of the vehicle is the 'SPORT' badge located? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.6233}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 63, "image": "2e1a4d87-f03c-4189-9406-7968664edda2_png.rf.7605c122843447cd3cbdda9bfc61fe25.jpg", "expected": "2700.00", "predicted": "2700.00", "correct": true, "input_tokens": 1192, "output_tokens": 11, "elapsed_seconds": 3.6377724580233917, "metadata": {"question": "If the same supplier shipped 100 additional cartons of head gear at the same average per-carton weight implied by this invoice, what would the new total gross weight be in kilograms? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.6796}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 64, "image": "2e15743f-6bc8-4cce-8ec0-66eea3a6ca2f_png.rf.dff2a916b2154426e2043eda4cd591dd.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1176, "output_tokens": 5, "elapsed_seconds": 5.672624833066948, "metadata": {"question": "How many vertical columns in the vending machine contain at least one Pepsi can? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.7096}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 65, "image": "3f655000-3416-4906-8785-f716a5195996_png.rf.43d1001a93452d12ad70e047d2c6ed7e.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1184, "output_tokens": 5, "elapsed_seconds": 5.478854999993928, "metadata": {"question": "If you want to prepare breakfast plates that each require exactly 2 eggs and half an apple, what is the maximum number of such plates you can complete using only the visible eggs and apples? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.5802}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 66, "image": "4b1a9f4a-6b60-4350-b603-55755b49eaa7_png.rf.1a82163a0fad58cd34885043f4c4eb55.jpg", "expected": "15", "predicted": "15", "correct": true, "input_tokens": 1174, "output_tokens": 6, "elapsed_seconds": 5.334832292050123, "metadata": {"question": "At V_DS = 10 V, what is the approximate increase in drain current when V_GS rises from 6 V to 7 V? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.3578}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 67, "image": "0b0da260-9ab1-48b3-a909-03dc21a83345_png.rf.be24612c532b032d65b0228f30386968.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1179, "output_tokens": 5, "elapsed_seconds": 3.0415622079744935, "metadata": {"question": "If you need to retrieve the box sealed with blue tape, what is the minimum number of other boxes you must remove first so that it is completely unobstructed from above? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1345}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 68, "image": "214d5a30-f38a-4509-bd53-1e3ea49f9c8b_png.rf.adb2216acfcf57012a8ae573e973f1ca.jpg", "expected": "11.80", "predicted": "11.80", "correct": true, "input_tokens": 1156, "output_tokens": 9, "elapsed_seconds": 4.963115375023335, "metadata": {"question": "What is the total amount of GST commission charges (NEFT-GST-COMMISSION) debited on September 15, 2025? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.0301}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 69, "image": "a605175c-be9c-4e9b-8f69-540e233aa5e8_png.rf.3f3d5135536b2e36c9325081fe4f36ee.jpg", "expected": "left side", "predicted": "left side", "correct": true, "input_tokens": 1202, "output_tokens": 6, "elapsed_seconds": 3.5916999169858173, "metadata": {"question": "Based on the position of the wheel and the wrapping of the bumper, which side of the vehicle (from the perspective of a driver sitting inside and looking forward) is damaged? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.6139}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 70, "image": "01d2cf72-1e3e-425b-8743-ef01ca46252d_png.rf.3f9dc60e26c06dbdc9181e5b067126a0.jpg", "expected": "46.2%", "predicted": "46.2%", "correct": true, "input_tokens": 1172, "output_tokens": 9, "elapsed_seconds": 2.707728708977811, "metadata": {"question": "Based on the nutritional information per 100g, what percentage of the total fat is saturated fat? Answer with a percentage rounded to one decimal place.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7269}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 71, "image": "423751b4-264a-4fed-acd4-7432a257389d_png.rf.aca151f72457b1604c2dc4b92bce1c2e.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1182, "output_tokens": 5, "elapsed_seconds": 2.7989992080256343, "metadata": {"question": "Based on the technical drawing, what is the total tolerance range (the difference between the maximum and minimum allowable values) for the dimension associated with balloon 24? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8303}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 72, "image": "86827a6f-9148-40bc-84eb-1f26a69fb426_png.rf.7a36b6597b39ee2cb27e013247477184.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1162, "output_tokens": 5, "elapsed_seconds": 4.152586166979745, "metadata": {"question": "From the perspective of a driver sitting inside the white truck in the foreground and looking forward, on which side of their vehicle is the black SUV? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.1842}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 73, "image": "dfe78d58-fa15-49ac-8673-04b364aaf8f6_png.rf.343b9ddb4be588f14fa49047c656c256.jpg", "expected": "opposite side", "predicted": "opposite side", "correct": true, "input_tokens": 1197, "output_tokens": 6, "elapsed_seconds": 24.315996209043078, "metadata": {"question": "Based on the direction of the shadows cast on the dock, is the sun located on the same side of the ship as the dock, or on the opposite side of the ship? Choose one: same side, or opposite side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 24.3713}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 74, "image": "85119d73-c38d-44d4-80b9-f7cfc4848029_png.rf.6faf117b9b48a03e7226813130cb8c31.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1203, "output_tokens": 5, "elapsed_seconds": 9.49641341692768, "metadata": {"question": "Treat each occupied compartment as one movable stack. What is the minimum number of whole stacks that must be moved so that no two adjacent occupied compartments contain the same color? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.5274}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 75, "image": "73825c5f-4954-4824-8572-64ed5602323c_png.rf.fac850718e77f19df27b7bf90d021ba7.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1146, "output_tokens": 5, "elapsed_seconds": 5.219512333977036, "metadata": {"question": "What is the minimum number of doors a person must pass through to travel from Bedroom 2 to Bedroom 4? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.2339}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 76, "image": "ea00a7d2-1d73-45a3-8950-7f911a746913_png.rf.6d8d4591e8c887c3d43e174e43cfd621.jpg", "expected": "24", "predicted": "24", "correct": true, "input_tokens": 1154, "output_tokens": 6, "elapsed_seconds": 2.6007451670011505, "metadata": {"question": "Based on the 'Hired From' and 'Hired To' dates listed under Employment Data, for how many full years was the subject employed at SOLAR TRADE? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.6175}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 77, "image": "e8894dda-fd01-4e8f-b233-7aa1c6924174_png.rf.f8d49103c494c77bf0b4a1c79b12bd32.jpg", "expected": "145", "predicted": "145", "correct": true, "input_tokens": 1161, "output_tokens": 7, "elapsed_seconds": 4.0346166249364614, "metadata": {"question": "What is the difference in grams between the target weight indicated in the product name and the actual net quantity of this muskmelon? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.0795}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 78, "image": "29f47b83-0092-4736-a8e7-b3ef23a92354_png.rf.fb2f7e6c321affb606a4919b6a7433ae.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1178, "output_tokens": 5, "elapsed_seconds": 4.135513374931179, "metadata": {"question": "Based on the handwritten dates at the top of the form, how many days elapse between the date the document was written and its effective date? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.1503}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 79, "image": "5cf55f37-8adb-4adb-9520-148340548028_png.rf.e1605fd47b5ae75ba9c34cdcde09e17c.jpg", "expected": "July 10, 2016", "predicted": "June 10, 2016", "correct": false, "input_tokens": 1204, "output_tokens": 14, "elapsed_seconds": 4.890816916944459, "metadata": {"question": "According to the payment terms and the invoice date, when is payment due? Choose one: June 10, 2016; July 10, 2016; July 5, 2016; August 10, 2016.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 4.9072}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 80, "image": "dae8c81a-4de4-4ef4-9301-25ca1ba03574_png.rf.d6aaed535d1e3ed00116c2b44301deea.jpg", "expected": "away", "predicted": "toward", "correct": false, "input_tokens": 1196, "output_tokens": 5, "elapsed_seconds": 8.957585500087589, "metadata": {"question": "If a worker grabbed the yellow pallet jack's handle and pulled it straight in the direction the handle currently points, would the jack move generally toward the central packing table or away from it? Choose one: toward or away.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 9.0121}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 81, "image": "9056e25e-2e7e-4746-b766-49e5c6aa52df_png.rf.9e357fa580bcb749370734803ddf5655.jpg", "expected": "left side", "predicted": "left side", "correct": true, "input_tokens": 1181, "output_tokens": 6, "elapsed_seconds": 8.603285416960716, "metadata": {"question": "Based on the door handle's position relative to the vertical seam and the wheel arch at the bottom, which side of the vehicle is shown (from the perspective of a passenger sitting inside and facing forward)? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.6553}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 82, "image": "47ad34a1-d784-48fd-bf0b-9814791703e3_png.rf.0d90c040409da9a682d9d7db5b14476f.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1162, "output_tokens": 5, "elapsed_seconds": 4.630194457946345, "metadata": {"question": "If the Mercedes moves exactly one lane to its left, would it enter the same lane currently occupied by the smaller black car ahead? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.7069}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 83, "image": "0f7a1b1b-b0f9-4dba-9659-0455701b7a3f_png.rf.28278968509f5982105a211e62ac44b1.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1141, "output_tokens": 5, "elapsed_seconds": 4.264853458036669, "metadata": {"question": "Would improving only the attributes currently rated 4 be sufficient to make every listed attribute receive the highest rating? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.2799}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 84, "image": "0f7a1b1b-b0f9-4dba-9659-0455701b7a3f_png.rf.28278968509f5982105a211e62ac44b1.jpg", "expected": "4.5", "predicted": "4.5", "correct": true, "input_tokens": 1139, "output_tokens": 7, "elapsed_seconds": 3.8583622919395566, "metadata": {"question": "What is the average score of the attributes associated with PO11? Answer with a number rounded to one decimal place.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.873}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 85, "image": "be797fcf-056b-44b2-a1da-b667c3185959_png.rf.29cfb688a5b86d169cb8732bb04f0f72.jpg", "expected": "22", "predicted": "24", "correct": false, "input_tokens": 1166, "output_tokens": 6, "elapsed_seconds": 5.048534791916609, "metadata": {"question": "If the black tray in the foreground has a total capacity of 10 rows with 5 slots per row, how many more devices are needed to completely fill it? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 5.102}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 86, "image": "861cb64d-800a-4635-999c-739199f8b473_png.rf.c6b83038f9d574bf6dccf2b1554017ec.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1170, "output_tokens": 5, "elapsed_seconds": 3.588389249984175, "metadata": {"question": "Based on the date of the letter and the details provided in the text, how many days are expected to elapse between the date the check was mailed and the date MDA is expected to receive it? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.605}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 87, "image": "22c3fc7f-6563-4f41-8eac-8c7d425b5633_png.rf.2dd8b94855832744d13e2f1185950566.jpg", "expected": "18", "predicted": "18", "correct": true, "input_tokens": 1173, "output_tokens": 6, "elapsed_seconds": 37.88943824998569, "metadata": {"question": "Based on the manpower details table, what is the total number of normal hours (NOR) worked by all listed employees combined on this day? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 37.9223}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 88, "image": "e47241e5-70ca-420f-9c96-05b3095ff135_png.rf.7a32ff91ffc2f7aad43c713c84c3052b.jpg", "expected": "G003...80", "predicted": "G003...80", "correct": true, "input_tokens": 1227, "output_tokens": 11, "elapsed_seconds": 37.3483931660885, "metadata": {"question": "A designer needs a resistor with a resistance of 2.0 k\u03a9 and a tolerance of \u00b10.05%. Based on the specifications, what is the Global Model of the lightest resistor that meets these requirements? Choose one: G001...80, G002, G003...80, or G005.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 37.3985}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 89, "image": "1c9d39fb-7707-4058-8d39-5ef46b4d46bf_png.rf.3c3842ab73120c2d5d767bf08e3b9b44.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1186, "output_tokens": 5, "elapsed_seconds": 10.652667209040374, "metadata": {"question": "From the perspective of the driver seated inside the white pickup and facing its direction of travel, on which side of the truck is the pedestrian? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.7145}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 90, "image": "2d031b53-a61c-4de0-b98e-52b14a4c6fcc_png.rf.1abec44486981464bee69aff5fc4acdd.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1158, "output_tokens": 5, "elapsed_seconds": 9.628381417016499, "metadata": {"question": "Assuming each of the two pizzas on the warming station was originally cut into 6 equal slices, how many slices in total have been sold? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.6615}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 91, "image": "d06e0e70-1bed-4998-bcd4-bc8eccac71d3_png.rf.bd4e209d1eda6cadcb0362c0e61a56a0.jpg", "expected": "253730", "predicted": "253730", "correct": true, "input_tokens": 1183, "output_tokens": 10, "elapsed_seconds": 9.600411875057034, "metadata": {"question": "Using a rule of Medium priority before Low priority, then earliest Created Date to break a tie, which visible ticket should be handled next? Answer with ticket ID.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.6309}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 92, "image": "d06e0e70-1bed-4998-bcd4-bc8eccac71d3_png.rf.bd4e209d1eda6cadcb0362c0e61a56a0.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1182, "output_tokens": 5, "elapsed_seconds": 9.357752374955453, "metadata": {"question": "What is the time difference in hours between the earliest and latest tickets created on Apr 6, 2026? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.3888}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 93, "image": "b3f197fe-81ad-4fc1-bd69-d3b01d48b2b8_png.rf.5abbc57e2abc00bdf8184ff41d45e10c.jpg", "expected": "right hand", "predicted": "right hand", "correct": true, "input_tokens": 1145, "output_tokens": 6, "elapsed_seconds": 22.476847250014544, "metadata": {"question": "Based on the position of the thumb and fingers, which hand is the operator using to hold the scanner? Choose one: left hand or right hand.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 22.5585}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 94, "image": "b3f197fe-81ad-4fc1-bd69-d3b01d48b2b8_png.rf.5abbc57e2abc00bdf8184ff41d45e10c.jpg", "expected": "up", "predicted": "up", "correct": true, "input_tokens": 1163, "output_tokens": 5, "elapsed_seconds": 5.485143790952861, "metadata": {"question": "Keeping the scanner at its current tilt so the beam stays horizontal, in which direction should the worker shift the beam so it crosses a barcode's bars perpendicularly and can decode it? Choose one: up, down, left, or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.5705}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 95, "image": "0d8b9fdc-32fc-4324-9e81-414d7762982a_png.rf.10e3ab24f0cc229fc194f19150a9088a.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1167, "output_tokens": 5, "elapsed_seconds": 3.0186682080384344, "metadata": {"question": "Which room number becomes completely isolated from all other rooms if the sliding door SD is closed? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.0372}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 96, "image": "0d8b9fdc-32fc-4324-9e81-414d7762982a_png.rf.10e3ab24f0cc229fc194f19150a9088a.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1174, "output_tokens": 5, "elapsed_seconds": 3.0073366250144318, "metadata": {"question": "What is the minimum number of doors a person must pass through to travel from BedRoom 2 to BathRoom 5? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.0292}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 97, "image": "56b1bbe0-a003-4ba6-8cb2-08dd2f74a08a_png.rf.48d53e8f7bf6d0dbcf9eb16889b0777a.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1177, "output_tokens": 5, "elapsed_seconds": 3.6605857919203117, "metadata": {"question": "Based on the relative timestamps shown in the screenshot of the thread, how many hours after Benji Taylor's post did Paul Macgregor post his response? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.6711}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 98, "image": "c2dd6dca-767e-4fe1-8dfb-ead3a37507db_png.rf.96bbfed9aead2bbd919d3b4c1237287a.jpg", "expected": "1.3%", "predicted": "1.3%", "correct": true, "input_tokens": 1178, "output_tokens": 8, "elapsed_seconds": 7.425802999990992, "metadata": {"question": "Comparing the loading units and offloading units recorded on the note, what percentage of the loaded manganese ore fines was lost in transit? Answer with a percentage rounded to one decimal place.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.4696}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 99, "image": "c2dd6dca-767e-4fe1-8dfb-ead3a37507db_png.rf.96bbfed9aead2bbd919d3b4c1237287a.jpg", "expected": "520", "predicted": "520", "correct": true, "input_tokens": 1167, "output_tokens": 7, "elapsed_seconds": 6.562113916967064, "metadata": {"question": "What is the difference between the loading units and the offloading units recorded on this delivery note? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.6067}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 100, "image": "d8552ab5-9930-4bd4-a00c-0f4adbeb76e4_png.rf.fc1f316aa3e9348a20e81d0e619cfa66.jpg", "expected": "yes", "predicted": "yes", "correct": true, "input_tokens": 1183, "output_tokens": 5, "elapsed_seconds": 3.758116750046611, "metadata": {"question": "If this document is folded exactly in half by bringing the top edge down to meet the bottom edge, will the two punched holes on the left margin align to overlap each other? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.7711}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 101, "image": "42990fe8-872a-4d4e-a1f9-7926a990b803_png.rf.542a9bb854b1ddec7ea9b3c71f102c32.jpg", "expected": "13", "predicted": "13", "correct": true, "input_tokens": 1140, "output_tokens": 6, "elapsed_seconds": 2.9538886250229552, "metadata": {"question": "What is the difference between the number of recorded heights that are at least 150 centimetres and those that are under 142 centimetres? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9589}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 102, "image": "bcf2178d-166f-4ae9-a0ef-40c03e873d7b_png.rf.45781833e957384c1cc81ae703e548a8.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1187, "output_tokens": 5, "elapsed_seconds": 5.151588166947477, "metadata": {"question": "Judging from the direction traffic travels on this roadway, which barrier are the two crashed SUVs resting against from the perspective of drivers on this road? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.1938}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 103, "image": "e8acc7bd-43d8-4902-8871-758a81216657_png.rf.3fdb3f122bcab387f522f1113b53a202.jpg", "expected": "yes", "predicted": "yes", "correct": true, "input_tokens": 1193, "output_tokens": 5, "elapsed_seconds": 7.680158040951937, "metadata": {"question": "A goaltender standing in the crease of the visible net faces up-ice toward the oncoming play. Are the majority of the green-jerseyed players currently on his left side? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.7342}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 104, "image": "c9dbd271-e8bd-4a4c-9d90-dcc53a4910f6_png.rf.7b116829f9e80042e6ff64cae0ce75bd.jpg", "expected": "18", "predicted": "18", "correct": true, "input_tokens": 1193, "output_tokens": 6, "elapsed_seconds": 5.52490754192695, "metadata": {"question": "Using standard chess piece values where a pawn is 1 point, a bishop or knight is 3 points, and a rook is 5 points, what is the total point value of the captured white pieces set aside on the right? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.577}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 105, "image": "4409ba1c-5b55-47e4-8fb3-ed245021d0bb_png.rf.274f7c4fb87e3efa82cd64b8840d0de7.jpg", "expected": "75.00", "predicted": "75.00", "correct": true, "input_tokens": 1151, "output_tokens": 9, "elapsed_seconds": 17.828528499929234, "metadata": {"question": "If the customer had decided to keep the Lipsy Bikini Bottoms instead of returning them, what would the total refunded amount be? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 17.9005}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 106, "image": "dc0f068d-8a08-4674-8415-973756621fea_png.rf.e7ad2a97bf4cfd59534ddd786e1bfa09.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1180, "output_tokens": 5, "elapsed_seconds": 6.840240458957851, "metadata": {"question": "What is the difference between the number of times 'C' is marked and the number of times 'D' is marked on this sheet? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.8449}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 107, "image": "fd40be2e-2c23-4d4f-9af8-bee299b30fb0_png.rf.d32862e3f7c08fa121abceaa35a724bf.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1142, "output_tokens": 5, "elapsed_seconds": 5.712559874984436, "metadata": {"question": "How many of the 9 columns in the vending machine contain at least one bottle with a green cap? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.7676}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 108, "image": "39e13a5d-7f3d-4cb3-b99e-5a31236bdb32_png.rf.ac7593ea805bf54030232955f3054140.jpg", "expected": "38", "predicted": "38", "correct": true, "input_tokens": 1155, "output_tokens": 6, "elapsed_seconds": 4.263404208002612, "metadata": {"question": "If we want to fill the display cabinet so that every compartment contains exactly one car, how many additional cars must be added? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.2674}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 109, "image": "ed033e2a-4072-4930-98ed-35aa45aee1d9_png.rf.3b133b1ed5ad005654d6d55fde0e6a80.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1178, "output_tokens": 5, "elapsed_seconds": 7.642710707965307, "metadata": {"question": "From the perspective of a driver sitting inside the cab of the dump truck with the green tarp and looking forward, which side door of the cab is open? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.7185}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 110, "image": "25e6ed9c-2d37-4533-8021-977770aa97d1_png.rf.5e4c7a4776bb280dedd569d309846abd.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1182, "output_tokens": 5, "elapsed_seconds": 73.43879212497268, "metadata": {"question": "Without adding or removing any cylinders, can the load be rearranged so that all four horizontal rows contain exactly the same number of cylinders? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 73.4909}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 111, "image": "17a88e1e-fb1c-46f0-8620-8f19854b8fff_png.rf.e4fb269a60ea85233a7bdd3d43ef4aa1.jpg", "expected": "right side", "predicted": "right side", "correct": false, "input_tokens": 1195, "output_tokens": 6, "elapsed_seconds": 15.955844375072047, "metadata": {"question": "Based on the relative positions of the wheel and the front fog light, which side of the vehicle (from the perspective of a driver sitting inside and looking forward) is damaged? Choose one: left side or right side.", "strict_correct": true, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 15.9769}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 112, "image": "3a1d4bd3-6db0-4cda-881d-e9ae4c194abb_png.rf.34d91902d10ee43e73241d5a9df8fa98.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1157, "output_tokens": 5, "elapsed_seconds": 80.3549589579925, "metadata": {"question": "From the perspective of an officer sitting in the driver's seat of this SUV and facing forward, on which side of the vehicle is the person in the hooded sweatshirt standing? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 80.4612}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 113, "image": "0c721c3c-19a5-4857-89af-7d480d1a8ad6_png.rf.d4d68898257830e57382ff91e2ca4912.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1185, "output_tokens": 5, "elapsed_seconds": 7.879103541956283, "metadata": {"question": "A patient must take medication only on odd-numbered days of the week (days 1, 3, 5, and 7), leaving even-numbered days (days 2, 4, and 6) empty. How many of the 28 trays are prepared exactly according to this schedule? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 2, "retries": 1, "total_seconds": 46.3239, "transient_errors": ["ReadError"]}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 114, "image": "0c721c3c-19a5-4857-89af-7d480d1a8ad6_png.rf.d4d68898257830e57382ff91e2ca4912.jpg", "expected": "8", "predicted": "7", "correct": false, "input_tokens": 1154, "output_tokens": 5, "elapsed_seconds": 51.266050125006586, "metadata": {"question": "A patient must take medication every day of the week, with all seven days filled. How many of the 28 trays are prepared exactly according to this schedule? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 51.3434}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 115, "image": "fd7145ce-ff54-42eb-b555-006479012309_png.rf.b64dc2701743bae035f831b7e381d8a1.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1162, "output_tokens": 5, "elapsed_seconds": 3.378771833027713, "metadata": {"question": "Based on the handwritten entries in the rent table, how many of the listed periods have a base monthly rent of exactly $2500.00? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.4045}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 116, "image": "62bb473c-8343-402f-a809-8a36d42884ff_png.rf.979d16777be23bdc0037837ff45a8b29.jpg", "expected": "14", "predicted": "16", "correct": false, "input_tokens": 1196, "output_tokens": 6, "elapsed_seconds": 43.456558375037275, "metadata": {"question": "If a fully stocked column in this tray contains exactly 7 ice creams, how many additional ice creams are needed to fully stock all 7 columns (numbered 31 through 37)? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 43.5106}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 117, "image": "94bfcdd8-0a2b-4903-95da-34fea7e1899c_png.rf.73c78580b0e05542ed686abf5b77f46d.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1151, "output_tokens": 5, "elapsed_seconds": 51.522059000097215, "metadata": {"question": "Based on the printed date of birth and date of expiry, will the cardholder have already turned 40 years old by the time this card expires? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 51.6158}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 118, "image": "b8891395-36f3-42e5-a1d2-616a922e0771_png.rf.b7e3860f9d0d9ab3e7f7fd0a6742a738.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1165, "output_tokens": 5, "elapsed_seconds": 86.94505304191262, "metadata": {"question": "Before the pharmacist can sweep the loose capsules on the tray surface into the transparent channel at the top, must the clear cover first be lifted open? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 87.058}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 119, "image": "7315cbf8-64fb-436e-8446-d2f061545df7_png.rf.6f038540710afe5f888b22200ca39932.jpg", "expected": "1", "predicted": "0", "correct": false, "input_tokens": 1138, "output_tokens": 5, "elapsed_seconds": 28.070283499895595, "metadata": {"question": "What is the minimum number of additional dominoes needed so that all five visible tiles can be used in one valid matching chain? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 28.1415}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 120, "image": "7315cbf8-64fb-436e-8446-d2f061545df7_png.rf.6f038540710afe5f888b22200ca39932.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1146, "output_tokens": 5, "elapsed_seconds": 38.87762499996461, "metadata": {"question": "If no new dominoes may be added, what is the minimum number of visible tiles that must be left out to arrange all the others as one valid matching chain? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 38.952}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 121, "image": "7315cbf8-64fb-436e-8446-d2f061545df7_png.rf.6f038540710afe5f888b22200ca39932.jpg", "expected": "8", "predicted": "8", "correct": true, "input_tokens": 1138, "output_tokens": 5, "elapsed_seconds": 23.877339584054425, "metadata": {"question": "What is the total number of dots (pips) across all the dominoes that have at least one completely blank half? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 23.9494}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 122, "image": "841a0a03-fb48-4b1b-8e75-8abef424a913_png.rf.f11c6efbf5e3b71b7477a83694d80fce.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1154, "output_tokens": 5, "elapsed_seconds": 50.70417370798532, "metadata": {"question": "If the container is carrying 28,000 kg of cargo, can an additional 900 kg shipment be loaded without exceeding the stated payload limit? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 50.8015}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 123, "image": "ddb36742-789d-4a6f-a256-5998c9acd5cd_png.rf.f0ede67f0e9f049e1f036fb52b97641d.jpg", "expected": "4.40", "predicted": "4.40", "correct": true, "input_tokens": 1127, "output_tokens": 8, "elapsed_seconds": 17.06389775010757, "metadata": {"question": "Based on the regular prices listed on the receipt, how much total money was saved on the discounted items compared to their regular prices? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 17.1047}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 124, "image": "3cd889b7-4626-47fe-af90-b98b2d5ffdfc_png.rf.7515e2b89f3d7561f907f84154e00de5.jpg", "expected": "3921.09", "predicted": "3921.09", "correct": true, "input_tokens": 1195, "output_tokens": 11, "elapsed_seconds": 12.33207024994772, "metadata": {"question": "Among the seven individual items listed in the table on this page, what is the sum of the amounts for the items that expire in the year 2028? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 12.4017}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 125, "image": "3cd889b7-4626-47fe-af90-b98b2d5ffdfc_png.rf.7515e2b89f3d7561f907f84154e00de5.jpg", "expected": "15", "predicted": "15", "correct": true, "input_tokens": 1188, "output_tokens": 6, "elapsed_seconds": 19.286161083960906, "metadata": {"question": "Among the seven individual items listed in the table on this page, what is the total quantity of items that have a discount of 6.00%? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 19.3581}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 126, "image": "f035f306-754e-4ab9-bd14-80de6cb9353f_png.rf.463bdd12d569cb3ed06ddefa4f7c0544.jpg", "expected": "1", "predicted": "2", "correct": false, "input_tokens": 1141, "output_tokens": 5, "elapsed_seconds": 9.323007790953852, "metadata": {"question": "If you group all the visible beans into sets of three, how many beans will remain ungrouped? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 9.4118}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 127, "image": "32beea2c-22a7-4032-9914-2b8af79a6ca6_png.rf.afa9d4a51e3264b766523b0b6c43118f.jpg", "expected": "yes", "predicted": "yes", "correct": true, "input_tokens": 1164, "output_tokens": 5, "elapsed_seconds": 27.10401683393866, "metadata": {"question": "Does the circled total score in red at the bottom-left corner equal the sum of all individual question scores marked in red on this page? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 27.1424}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 128, "image": "1b4e5426-d109-4398-8e45-ab1dc497980f_png.rf.da896199922990bcefe9fec6ce57cec6.jpg", "expected": "11", "predicted": "11", "correct": true, "input_tokens": 1190, "output_tokens": 6, "elapsed_seconds": 9.262701624887995, "metadata": {"question": "If each correct red-circled response earns one point and the blue worked example is excluded, what is the student's score out of 12? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.2986}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 129, "image": "864cf752-35ed-44ca-9e73-a27ba19cecb3_png.rf.d9a6b6882d7d84ae1066efdb3590df46.jpg", "expected": "12", "predicted": "12", "correct": true, "input_tokens": 1182, "output_tokens": 6, "elapsed_seconds": 12.96753733290825, "metadata": {"question": "If the player currently holding the ball successfully shoots and scores from her current position, what will Washington's total score become? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 13.0228}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 130, "image": "bffbaa49-7832-430e-995d-4db0336f7444_png.rf.705666d967baf405ca5b8c91e2e291d1.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1167, "output_tokens": 5, "elapsed_seconds": 44.180219708010554, "metadata": {"question": "If three nuts are allocated to one mounting job, can five complete mounting jobs be supplied from the visible nuts? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 44.256}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 131, "image": "3cc9dff1-0e00-4900-9013-00d7b1be6a09_png.rf.4fb05de3247bdec3e1119e997d8f465b.jpg", "expected": "4", "predicted": "2", "correct": false, "input_tokens": 1206, "output_tokens": 5, "elapsed_seconds": 3.40702045802027, "metadata": {"question": "Based on the runners' current positions relative to the finish line on the right, which lane contains the runner currently in second place? Answer with a single integer, counting lanes from top (Lane 1) to bottom (Lane 8).", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 3.4248}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 132, "image": "4963b4c1-9126-48bc-ac30-e28cf692d079_png.rf.b0fe0fbf8e74b310187bebdb4e04529c.jpg", "expected": "right side", "predicted": "right side", "correct": true, "input_tokens": 1190, "output_tokens": 6, "elapsed_seconds": 62.034890291048214, "metadata": {"question": "Based on the visible wheel and headlight positions, which front side of the vehicle has the scuffed fender from the driver's forward-facing perspective? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 62.1731}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 133, "image": "6b1464af-2a20-4dc1-9b69-67b163aad58b_png.rf.5558871ebbc74585da7539ae1c82803b.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1158, "output_tokens": 5, "elapsed_seconds": 89.08844566706102, "metadata": {"question": "Identify the column in the seedling tray that contains the longest continuous vertical sequence of empty plugs (containing only soil with no sprouted seedlings). How many empty plugs are in this longest sequence? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 89.2063}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 134, "image": "6b1464af-2a20-4dc1-9b69-67b163aad58b_png.rf.5558871ebbc74585da7539ae1c82803b.jpg", "expected": "top half", "predicted": "top half", "correct": true, "input_tokens": 1163, "output_tokens": 6, "elapsed_seconds": 22.726015000022016, "metadata": {"question": "If the seedling tray is divided horizontally into a top half (rows 1 to 6) and a bottom half (rows 7 to 12), which half contains more empty plugs? Choose one: top half or bottom half.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 22.8429}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 135, "image": "dea1a5c6-1f2e-4b07-946a-898cd8732f5f_png.rf.2317c0f63fa82df7683229a1fb7f5cd0.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1135, "output_tokens": 5, "elapsed_seconds": 8.579040625016205, "metadata": {"question": "How many shelves in the vending machine are stocked exclusively with water bottles? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.6957}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 136, "image": "93bf4bd9-63d1-4a73-97c8-e0e904fd029c_png.rf.c1d6a7530844ca542169fdee4d809e3e.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1145, "output_tokens": 5, "elapsed_seconds": 7.716984125087038, "metadata": {"question": "If the pressure rises by 1 bar from the gauge's current reading, would the needle enter the red warning band? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.821}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 137, "image": "47352e6f-33b7-4c16-a520-03c8afe4c357_png.rf.4232d80b4b83ee4ee01af34332beae25.jpg", "expected": "on top", "predicted": "on top", "correct": true, "input_tokens": 1176, "output_tokens": 6, "elapsed_seconds": 36.66011733398773, "metadata": {"question": "Between the two crossed straight pins with black heads, does the pin with its black head at the bottom-right lie on top of or underneath the other pin? Choose one: on top or underneath.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 36.7761}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 138, "image": "40a321ee-89d8-4846-a3cf-b01413e971a3_png.rf.fbb996228d647f5d917d28665d8698db.jpg", "expected": "lower right", "predicted": "lower right", "correct": true, "input_tokens": 1168, "output_tokens": 6, "elapsed_seconds": 24.20768987503834, "metadata": {"question": "Based on the long shadows cast by the cattle, from which direction in the image is the sunlight coming? Choose one: upper left, upper right, lower left, or lower right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 24.2619}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 139, "image": "9c949507-b9b3-4a20-b76b-24512aedea5e_png.rf.450473e96e9282304c85265164cf0d78.jpg", "expected": "increase", "predicted": "increase", "correct": true, "input_tokens": 1145, "output_tokens": 5, "elapsed_seconds": 25.40698741597589, "metadata": {"question": "To move the indicated pressure into the green operating band using the smallest change, should the pressure be increased or decreased? Choose one: increase or decrease.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 25.5326}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 140, "image": "e3685148-49ec-4ad2-9f50-8d9133ce35cd_png.rf.b2bbd5b99df26d40ae43a5cd2cf549c7.jpg", "expected": "no", "predicted": "Yes", "correct": false, "input_tokens": 1155, "output_tokens": 5, "elapsed_seconds": 14.190637500025332, "metadata": {"question": "If a customer has a budget of 30.00 \u20ac, do they have enough money to buy one box of Berocca Boost and one box of Berocca Energie? Answer yes or no.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 14.3082}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 141, "image": "d7a763ce-28eb-4366-9169-d68f30a452b5_png.rf.b74d57acbfc696374bd43af86dc6931d.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1159, "output_tokens": 5, "elapsed_seconds": 17.548087875009514, "metadata": {"question": "Can a person travel from the Chambre to the Cuisine without entering the Salon? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 17.6381}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 142, "image": "d7a763ce-28eb-4366-9169-d68f30a452b5_png.rf.b74d57acbfc696374bd43af86dc6931d.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1169, "output_tokens": 5, "elapsed_seconds": 32.07234008295927, "metadata": {"question": "Starting from outside the apartment, what is the minimum number of doors a person must pass through to enter the SDB? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 32.1588}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 143, "image": "c46b41e5-447a-47dd-8780-7877ae92faef_png.rf.baa63153d8d89462d240f65b8eda302b.jpg", "expected": "correct lane", "predicted": "oncoming lane", "correct": false, "input_tokens": 1182, "output_tokens": 7, "elapsed_seconds": 69.83837174996734, "metadata": {"question": "Based on standard United States road marking rules, is this vehicle driving in the correct lane or the oncoming lane? Choose one: correct lane or oncoming lane.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 69.8975}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 144, "image": "ac750e7d-de93-4813-828d-409d16bd176b_png.rf.6559b085ab129da83454776a9ff2f3c3.jpg", "expected": "20", "predicted": "20", "correct": true, "input_tokens": 1155, "output_tokens": 6, "elapsed_seconds": 10.54799412493594, "metadata": {"question": "Based on the handwritten corrections, what is the difference between the original printed total number of events and the revised number of events? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.5715}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 145, "image": "76b25762-3b57-4158-9fab-945416165ada_png.rf.9990ab2a22469b04a599b81d43f7c09d.jpg", "expected": "118.00", "predicted": "118.00", "correct": true, "input_tokens": 1151, "output_tokens": 10, "elapsed_seconds": 20.792166125029325, "metadata": {"question": "If the ribeye and the Afri Hot Chilli sauce are paid for separately, how much remains for the rest of the bill? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 20.9181}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 146, "image": "d0b99ce8-8a3b-4d1d-98d4-b34137b19f08_png.rf.135586d63ba8944adf934e8d0cd9cc00.jpg", "expected": "1648", "predicted": "1648", "correct": true, "input_tokens": 1164, "output_tokens": 8, "elapsed_seconds": 9.138157250010408, "metadata": {"question": "What is the earliest year printed on any of the stamps in this sheet? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.2362}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 147, "image": "c91f10e7-1c18-434d-b9e6-2e570646da9d_png.rf.20b9e5afdcfab594a06be3928964180f.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1180, "output_tokens": 5, "elapsed_seconds": 14.884857540950179, "metadata": {"question": "If a driver without disability parking authorization wanted to use the space occupied by the dark sedan, would parking there be permitted? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 14.9402}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 148, "image": "8e2f7010-f314-4b13-badc-9a24ecdd1a45_png.rf.6aef955cc77c9959113ec1f1db73b0c3.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1151, "output_tokens": 5, "elapsed_seconds": 32.34448795800563, "metadata": {"question": "From the perspective of the truck driver seated in the cab and looking forward through the windshield, on which side is the large pyramid of blue drums? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 32.4108}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 149, "image": "76d985c4-8ba2-4660-871b-939bba136896_png.rf.42cd356e987e94c1579c6ffb589f753c.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1172, "output_tokens": 5, "elapsed_seconds": 29.07551054097712, "metadata": {"question": "If a qualifying shot must land in the 9-ring or closer to the center, has the target recorded at least five qualifying shots? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 29.1709}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224150", "index": 150, "image": "76d985c4-8ba2-4660-871b-939bba136896_png.rf.42cd356e987e94c1579c6ffb589f753c.jpg", "expected": "60", "predicted": "60", "correct": true, "input_tokens": 1163, "output_tokens": 6, "elapsed_seconds": 15.938950791954994, "metadata": {"question": "What is the total score of all shots that landed within the black region of the target? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 16.0339}} diff --git a/results/reasoning_gemini-4-argon_low_20261012_224152.jsonl b/results/reasoning_gemini-4-argon_low_20261012_224152.jsonl new file mode 100644 index 0000000..3f85636 --- /dev/null +++ b/results/reasoning_gemini-4-argon_low_20261012_224152.jsonl @@ -0,0 +1,151 @@ +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 0, "image": "85202175-9c3b-4a40-b0a9-3c0d33e250b6_png.rf.9afa602969ee1e53f32d2cd370c4c96b.jpg", "expected": "1", "predicted": "2", "correct": false, "input_tokens": 1157, "output_tokens": 5, "elapsed_seconds": 5.128955874941312, "metadata": {"question": "If a worker wants to rearrange the five numbered pipes so that their labels are in strictly ascending order from top to bottom, what is the minimum number of pipes that must be moved? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 5.1851}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 1, "image": "4f216ea0-af67-40e1-a226-2884e051db56_png.rf.09105ef6b5dab81d9f1a17fd1c6b2c34.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1147, "output_tokens": 5, "elapsed_seconds": 4.426015250035562, "metadata": {"question": "How many days after the date written on the top right of the letter is the patient's kidney transplant scheduled to take place? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.4854}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 2, "image": "d0980bab-2f15-4550-b3e6-813a2ad7e709_png.rf.46eb3c9c65328046e37275727bbeba8f.jpg", "expected": "1/2", "predicted": "1/2", "correct": true, "input_tokens": 1185, "output_tokens": 7, "elapsed_seconds": 5.119404542027041, "metadata": {"question": "Given that the selected number satisfies condition (iii), what is the probability that it also satisfies condition (iv)? Choose one: 0, 1/4, 1/2, or 1.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.1882}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 3, "image": "85133aaa-d105-42fc-9fb7-95b84cbcead1_png.rf.dd175df27fe32c388e49c027b817bd77.jpg", "expected": "opposite directions", "predicted": "opposite directions", "correct": true, "input_tokens": 1197, "output_tokens": 6, "elapsed_seconds": 5.085313834017143, "metadata": {"question": "In the paved courtyard, a white car and a dark grey sedan are parked side-by-side in the middle. Are these two vehicles parked facing the same direction or opposite directions? Choose one: same direction or opposite directions.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.181}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 4, "image": "cf479a9e-f37a-4a83-ba88-9c8813100830_png.rf.39718b9777bb616b7fab6dd75e98da87.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1163, "output_tokens": 5, "elapsed_seconds": 3.853640375076793, "metadata": {"question": "From the perspective of the customer standing at the checkout facing the screen, on which side of the scanner is the bagging platform with the plastic bags located? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.9094}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 5, "image": "afb31dc3-8a6d-445f-ac38-f772de2bccd4_png.rf.592a5fece3103b7455dd062f81f25633.jpg", "expected": "upper-left", "predicted": "upper-left", "correct": true, "input_tokens": 1173, "output_tokens": 7, "elapsed_seconds": 4.206152917002328, "metadata": {"question": "Judging by the direction the building shadows point across the block, toward which corner of the image does the sunlight appear to be shining from (i.e., shadows point away from that corner)? Choose one: upper-left, upper-right, lower-left, or lower-right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.2846}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 6, "image": "52dc8fa9-e959-409e-baeb-84dd14382804_png.rf.48fb415d0a2851464da46f9e94f3598b.jpg", "expected": "Flurotec-coated bromobutyl serum stoppers", "predicted": "Flurotec-coated bromobutyl serum stoppers", "correct": true, "input_tokens": 1179, "output_tokens": 14, "elapsed_seconds": 9.084215917042457, "metadata": {"question": "Which packaging material was dispensed furthest above its required quantity? Choose one: amber glass vial, Flurotec-coated bromobutyl serum stoppers, or purple flip-off seal.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.1718}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 7, "image": "badd5270-702b-4161-804a-3875ebeaab25_png.rf.87a2d89de755bd8e677f27f6c325b675.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1182, "output_tokens": 5, "elapsed_seconds": 3.327549875015393, "metadata": {"question": "In the visible table, what is the difference between the number of rows with Real Customer Group '1278' and those with '1001'? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.348}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 8, "image": "badd5270-702b-4161-804a-3875ebeaab25_png.rf.87a2d89de755bd8e677f27f6c325b675.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1170, "output_tokens": 5, "elapsed_seconds": 5.951873415964656, "metadata": {"question": "Excluding the row where the Party is 'NONE', how many unique Party values are listed in the table? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.9727}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 9, "image": "76bbc10c-bed4-41d3-8622-035eeabc5596_png.rf.b20dacd6d7f36277f12a5de62bcc77d5.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1143, "output_tokens": 5, "elapsed_seconds": 10.676498625078239, "metadata": {"question": "How many total boxes of trial lenses are missing from the column labeled 110 in the bottom section? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.7895}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 10, "image": "76bbc10c-bed4-41d3-8622-035eeabc5596_png.rf.b20dacd6d7f36277f12a5de62bcc77d5.jpg", "expected": "+1.00", "predicted": "+1.00", "correct": true, "input_tokens": 1160, "output_tokens": 9, "elapsed_seconds": 15.246252666926011, "metadata": {"question": "In the bottom section, which SPH power row is completely empty across all five columns? Choose one: +3.00, +2.00, +1.00, or -6.00.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 15.3617}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 11, "image": "f76b953e-a7af-4f0b-b25d-8464103c4b2d_png.rf.2323d361c5c1df73ba3feca61d206a76.jpg", "expected": "278", "predicted": "278", "correct": true, "input_tokens": 1145, "output_tokens": 7, "elapsed_seconds": 4.086039791000076, "metadata": {"question": "According to the nutritional information, how many total calories (Kcal) are contained in a portion of this snack that contains exactly 18 grams of fat? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.1199}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 12, "image": "f76b953e-a7af-4f0b-b25d-8464103c4b2d_png.rf.2323d361c5c1df73ba3feca61d206a76.jpg", "expected": "58.3%", "predicted": "58.3%", "correct": true, "input_tokens": 1148, "output_tokens": 9, "elapsed_seconds": 4.654888957971707, "metadata": {"question": "Based on the nutritional information per 100g, what percentage of the total energy comes from fat, using 9 kcal per gram of fat? Answer with a percentage rounded to one decimal place.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.6884}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 13, "image": "bb5d817a-0216-4404-a737-dc3a118edda4_png.rf.de0c951943b6ce799e856483fae63599.jpg", "expected": "2.742", "predicted": "2.742", "correct": true, "input_tokens": 1169, "output_tokens": 9, "elapsed_seconds": 3.441027084016241, "metadata": {"question": "Based on the technical drawing, what is the horizontal distance between the leftmost center of the left slot and the vertical centerline of the top hole? Answer with a number rounded to three decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.4566}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 14, "image": "f1f21256-337e-4348-ab9a-13351b9666bc_png.rf.f7241e285cd093e86b7c7fa3968fcf5d.jpg", "expected": "11", "predicted": "11", "correct": true, "input_tokens": 1168, "output_tokens": 6, "elapsed_seconds": 4.198318375041708, "metadata": {"question": "How many days elapse between the date the delivery note was issued and the scheduled delivery date? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.2063}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 15, "image": "dc13d7fa-f450-4040-a92b-a7d4f065e31d_png.rf.72799758463340501608cda7b66e2b78.jpg", "expected": "6", "predicted": "23", "correct": false, "input_tokens": 1159, "output_tokens": 6, "elapsed_seconds": 3.4792377079138532, "metadata": {"question": "What is the total number of containers associated with all samples designated as composite ('C') under the collection type? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 3.5191}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 16, "image": "dc13d7fa-f450-4040-a92b-a7d4f065e31d_png.rf.72799758463340501608cda7b66e2b78.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1161, "output_tokens": 5, "elapsed_seconds": 3.6748681670287624, "metadata": {"question": "Does preservation code N apply to more total containers than preservation code S when every checked row is weighted by its listed container count? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.7149}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 17, "image": "8e5b7a3a-7b69-4663-8f76-5b772006e748_png.rf.f9a5eaa49d2d77a19776b2b8db176942.jpg", "expected": "11.9 cm", "predicted": "11.9 cm", "correct": true, "input_tokens": 1162, "output_tokens": 9, "elapsed_seconds": 3.013945166952908, "metadata": {"question": "Based on the horizontal ruler, what is the length of the blister pack? Choose one: 11.4 cm, 11.9 cm, 12.4 cm, or 12.9 cm.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.026}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 18, "image": "396282bc-0d15-4e53-8803-7e5b69c1bef0_png.rf.7026903692b33b2e719785561327c679.jpg", "expected": "no", "predicted": "no", "correct": true, "input_tokens": 1186, "output_tokens": 5, "elapsed_seconds": 3.4562147080432624, "metadata": {"question": "If the worker wants to assemble another dessert cup matching those on the trays, can it be completed using only the loose ingredients visibly available on the table? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.507}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 19, "image": "ea5e1584-2445-412a-ab88-341719a020fb_png.rf.e18e5930f3b7aaeffe6681b1e4b5928d.jpg", "expected": "4026.72", "predicted": "4026.72", "correct": true, "input_tokens": 1188, "output_tokens": 11, "elapsed_seconds": 3.4085952499881387, "metadata": {"question": "If the \u20ac450 rework discount were removed while all other entries and the 19% VAT rate stayed unchanged, what would the resulting invoice total including VAT be? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.4313}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 20, "image": "8f5959cc-c71e-4f39-926e-f88be3cd618b_png.rf.fd70f6581b5f9ef831b77090bcd8e310.jpg", "expected": "250", "predicted": "250", "correct": true, "input_tokens": 1173, "output_tokens": 7, "elapsed_seconds": 5.024834290961735, "metadata": {"question": "Subtract the total net weight from the total weight gross listed on the delivery note, and express the packaging weight in grams. Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.0353}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 21, "image": "1eae1c65-b395-4666-85f9-bf941b1def2c_png.rf.ee7f186d8bab2cd5b0cfb02161c8302a.jpg", "expected": "4", "predicted": "3", "correct": false, "input_tokens": 1172, "output_tokens": 5, "elapsed_seconds": 5.273688749992289, "metadata": {"question": "How many days elapsed between the date this cleaning record became effective and the date Section E was crossed out and signed? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 5.3379}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 22, "image": "ed48ae7c-8ca6-4fd9-9483-28df8487b82d_png.rf.36fc2484e3acc322295ec134e0068226.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1192, "output_tokens": 5, "elapsed_seconds": 3.2123433750821277, "metadata": {"question": "From the perspective of a driver sitting inside the white sedan and looking forward, on which side of their vehicle's front end did the collision occur? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.2585}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 23, "image": "96a170be-c707-476a-87c6-8f9229dc9735_png.rf.088cef7f2ff77232fe6904a6836a5135.jpg", "expected": "upper row", "predicted": "upper row", "correct": true, "input_tokens": 1183, "output_tokens": 6, "elapsed_seconds": 3.6379193749744445, "metadata": {"question": "For an arriving trailer needing an open marked bay, which row offers more parking options: upper row or lower row? Choose one: upper row or lower row.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.703}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 24, "image": "f7ec4cc8-90a9-4a3f-8603-91de3073b392_png.rf.669686b7efc2f35cae0ce34ba90377ff.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1153, "output_tokens": 5, "elapsed_seconds": 6.3927123749163, "metadata": {"question": "Based on the position of the audio jack plugged into the panel, which side of the boy's head from his own perspective is closer to the plug? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.409}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 25, "image": "b5ef866d-feb2-411f-ac5c-40c395cc3c62_png.rf.66b42d06fd426729cfaf37fe699ef682.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1179, "output_tokens": 5, "elapsed_seconds": 3.725681458017789, "metadata": {"question": "If a person walks in a straight line from the trampoline in the middle yard to the swing set in the left yard, how many property fence lines must they cross? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.8305}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 26, "image": "eeee1640-5005-460c-a3f3-12dfff951fc5_png.rf.f39545ddd7734560dd9a051e2c230c8c.jpg", "expected": "right side", "predicted": "right side", "correct": true, "input_tokens": 1163, "output_tokens": 6, "elapsed_seconds": 4.472983250045218, "metadata": {"question": "Based on the perspective of a driver sitting inside the van and looking forward, on which side of the vehicle is the textured concrete wall located? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.5179}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 27, "image": "8a9b0190-2516-4613-a33c-114cf5eb8993_png.rf.923b9627464a61d6941c095f16b9c069.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1161, "output_tokens": 5, "elapsed_seconds": 3.658581707975827, "metadata": {"question": "If every visible wrapped burger must be served with its own bag of fries, how many additional bags of fries are needed? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.7246}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 28, "image": "2f5026b8-8dc1-4831-94a4-d9f1c102b0fd_png.rf.17d85e9f6c9abd757c801aa0d47f423e.jpg", "expected": "9", "predicted": "9", "correct": true, "input_tokens": 1148, "output_tokens": 5, "elapsed_seconds": 4.044983875006437, "metadata": {"question": "Counting from the start date of Steel Fabrication to the start date of Fit off on this schedule, how many days elapse in total? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.1713}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 29, "image": "f4155be5-83b2-4214-89e0-b21906a781bd_png.rf.f865f92d82e075d8770a8aa212800d2e.jpg", "expected": "48.50", "predicted": "48.50", "correct": true, "input_tokens": 1167, "output_tokens": 9, "elapsed_seconds": 3.7790291669080034, "metadata": {"question": "What is the actual total cost of all liquid beverages (Coke Zero, Pot Of Tea, Mochaccino, and Latte) listed on the receipt? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.8405}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 30, "image": "f4155be5-83b2-4214-89e0-b21906a781bd_png.rf.f865f92d82e075d8770a8aa212800d2e.jpg", "expected": "247.50", "predicted": "247.50", "correct": true, "input_tokens": 1158, "output_tokens": 10, "elapsed_seconds": 2.433673582971096, "metadata": {"question": "If the group had ordered only one Mochaccino instead of two, what would the new total bill be? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.4977}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 31, "image": "c9b00dcb-e093-43d9-baf8-f1971ff328af_png.rf.41492638acc0aba933dc61f9c675d2c7.jpg", "expected": "22", "predicted": "22", "correct": true, "input_tokens": 1144, "output_tokens": 6, "elapsed_seconds": 4.347590542049147, "metadata": {"question": "If a patient takes one capsule per day from this pack, how many days of medication are remaining in the pack? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.4001}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 32, "image": "b4ac0ec8-9f7d-4769-ae70-3d0a959ca24b_png.rf.85ff21bb1ee3df65bbc402ec233ed80a.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1189, "output_tokens": 5, "elapsed_seconds": 3.400682583102025, "metadata": {"question": "If the green and blue rings on the right-hand board were swapped, how many ring positions on that board would still differ from the left-hand board? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.4448}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 33, "image": "34d45dd0-c14f-4a0a-9ff1-031d92a49ca1_png.rf.85c2cfa50183c292a49aaa7c9b2f0064.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1191, "output_tokens": 5, "elapsed_seconds": 4.349989332957193, "metadata": {"question": "Based on the orientation of the stopped green SUV, on which side of the vehicle is the fallen motorcyclist lying from the perspective of a driver sitting inside looking forward? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.3994}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 34, "image": "403906f1-d101-4a15-b0b3-43f90df6b13e_png.rf.9db9421ec54b4a1bf4b5d2a3462836c6.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1182, "output_tokens": 5, "elapsed_seconds": 6.609965541982092, "metadata": {"question": "From the perspective of the man standing and walking along the aisle, on which side is the passenger holding reading papers seated? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.7044}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 35, "image": "5a48fe25-9006-45d1-ac0c-fab115eb5d1a_png.rf.3951f54e9e9535809ab4efc645c98048.jpg", "expected": "1", "predicted": "3", "correct": false, "input_tokens": 1153, "output_tokens": 5, "elapsed_seconds": 4.764380041975528, "metadata": {"question": "Based on the stacking limit symbol printed on the boxes, what is the maximum number of additional identical boxes that can be safely stacked on top of the foreground box? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 4.8843}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 36, "image": "6711dc5a-8b63-441e-8fea-910b9298bde9_png.rf.7ed399c3d00da2923147fe6901bc90e0.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1160, "output_tokens": 5, "elapsed_seconds": 3.810476207989268, "metadata": {"question": "A worker wants to fill the crate's empty floor space with more punnets of the same size, laid flat in a single layer alongside the existing ones. How many additional punnets fit? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.8857}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 37, "image": "04a7e555-066a-4662-be7d-1fab1d0a89bb_png.rf.1c99b9faeb404517267846787ed66438.jpg", "expected": "decreased", "predicted": "decreased", "correct": true, "input_tokens": 1141, "output_tokens": 5, "elapsed_seconds": 4.4506592500256374, "metadata": {"question": "To move the shown pressure into the green band, should the system pressure be increased or decreased? Choose one: increased or decreased.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.5263}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 38, "image": "1710a83d-1506-464e-83bf-f015141f1c37_png.rf.bca4b5702f3d41d061d317ac2e0ea038.jpg", "expected": "10", "predicted": "10", "correct": true, "input_tokens": 1183, "output_tokens": 6, "elapsed_seconds": 2.733137207920663, "metadata": {"question": "If a patient can only attend appointments at or after 11:00 AM, how many of the displayed time slots across the entire week are available to them? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7484}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 39, "image": "1f2fe1d2-a6a6-4e60-a8e9-5a44e686ea1f_png.rf.e04f0049aa2caa0571f54b741224339f.jpg", "expected": "0", "predicted": "0", "correct": true, "input_tokens": 1167, "output_tokens": 5, "elapsed_seconds": 2.8720633750781417, "metadata": {"question": "How many of the cans on the table are lying on their side rather than standing upright? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9402}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 40, "image": "986ae5b8-bac5-432c-9ab1-afa7c98c2ef6_png.rf.004ba60e063ba1ac27b397a96d9539ee.jpg", "expected": "ASML Hld", "predicted": "ASML Hld", "correct": true, "input_tokens": 1188, "output_tokens": 8, "elapsed_seconds": 2.9716940840007737, "metadata": {"question": "Which of the following stocks listed under the letter 'A' has a 'Last' price that exceeds its listed 52-week High? Choose one: ASML Hld, ASV Inc s, ATI Tech, or ATMI Inc.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9945}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 41, "image": "0de03edc-15c5-4782-a74b-7cedb1df477b_png.rf.25fbbbda8291953bf4362acd5ea98104.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1187, "output_tokens": 5, "elapsed_seconds": 2.3354346670676023, "metadata": {"question": "Based on the sequential numbering of the exercises, how many numbered problems between (1) and (14) are missing from this worksheet? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.3504}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 42, "image": "107aeb67-63af-49d6-874c-d2505fa3fa43_png.rf.dd08291695888d5c30c0c4d82e0d1f5c.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1148, "output_tokens": 5, "elapsed_seconds": 4.324419458047487, "metadata": {"question": "To open the left door of the container, what is the minimum number of vertical locking bars that must be disengaged across the entire container? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.4235}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 43, "image": "3798710d-6abc-41a9-a6fa-69b36af142fd_png.rf.7513f727ea31e7a4d75594a64c1cd041.jpg", "expected": "168", "predicted": "168", "correct": true, "input_tokens": 1191, "output_tokens": 7, "elapsed_seconds": 5.021928999922238, "metadata": {"question": "According to the red digital display on the right, the current time is shown on the bottom line. If the train is scheduled to reach its destination at 09:35, how many minutes of travel time remain? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.1025}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 44, "image": "dce06136-2d24-422b-a3b6-e100c9a4bad1_png.rf.ac128576e826b2eca821e98b5f31f992.jpg", "expected": "Bihar", "predicted": "Bihar", "correct": true, "input_tokens": 1186, "output_tokens": 5, "elapsed_seconds": 3.9267229170072824, "metadata": {"question": "A quality inspector sees a pack whose printed batch number begins with the characters 'AB'. According to the information on this pack, in which Indian state was that pack manufactured? Choose one: Bihar, Haryana, Assam, or Punjab.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.9744}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 45, "image": "de2bbe1d-be94-4d71-97d8-2c316733c49d_png.rf.3e37eee81410925ab9219df63ec1cca0.jpg", "expected": "10", "predicted": "10", "correct": true, "input_tokens": 1167, "output_tokens": 6, "elapsed_seconds": 3.403362291981466, "metadata": {"question": "If a person consumes exactly three packets per day, what is the maximum number of full days this box of packets will last? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.4279}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 46, "image": "09c2792b-3755-4eee-828f-fa0c2567760f_png.rf.c5f2d9113af4bbc2882b49e0ae573966.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1206, "output_tokens": 5, "elapsed_seconds": 2.9199338749749586, "metadata": {"question": "To balance the shelves so that both have an equal number of books, how many books must be moved from the bottom shelf to the top shelf? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9646}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 47, "image": "57ae8fef-d674-43e7-9cf4-e7aeddb9e311_png.rf.88bc8729d68c7e1a097ea61f60d08ffc.jpg", "expected": "400", "predicted": "400", "correct": true, "input_tokens": 1167, "output_tokens": 7, "elapsed_seconds": 6.230279499897733, "metadata": {"question": "What is the total value of all the banknotes shown in the image, in Malaysian Ringgit (RM)? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.3267}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 48, "image": "26584325-f95e-41e4-9f4b-99afc5ff078d_png.rf.9c541fbfbbd37f1e00d8f04f9ac40b45.jpg", "expected": "beetroot", "predicted": "beetroot", "correct": true, "input_tokens": 1151, "output_tokens": 6, "elapsed_seconds": 5.657175916945562, "metadata": {"question": "Based on the details of the planted vegetables, which specific vegetable was planted from a tray instead of 6-packs? Choose one: beetroot, celery, coriander, or marigold.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.7398}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 49, "image": "20b7a85e-989a-4fa8-b275-6a1d92d2118a_png.rf.3bcf6e487a9fb4eb1f3f3848b5465060.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1183, "output_tokens": 5, "elapsed_seconds": 3.825233249925077, "metadata": {"question": "If the white ball-handler shoots without moving his feet, how many points would a made basket be worth under standard basketball rules? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.8841}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 50, "image": "7a31b46f-531b-43e7-895b-4e25e049abb3_png.rf.119ce2ebe0cff7f16bc80422173c188a.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1139, "output_tokens": 5, "elapsed_seconds": 3.0278770000441, "metadata": {"question": "If only the visible rear door were replaced, would all of the visible scrape damage be eliminated? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.098}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 51, "image": "7a31b46f-531b-43e7-895b-4e25e049abb3_png.rf.119ce2ebe0cff7f16bc80422173c188a.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1139, "output_tokens": 5, "elapsed_seconds": 2.754795999964699, "metadata": {"question": "From the perspective of a driver seated inside and facing forward, which side is it? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8268}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 52, "image": "82172a50-05ec-4f75-9b67-02d726a97981_png.rf.b6b418d86b460b5df29a48b3cf9bff9f.jpg", "expected": "yes", "predicted": "No", "correct": false, "input_tokens": 1146, "output_tokens": 5, "elapsed_seconds": 3.781494416994974, "metadata": {"question": "This car is driving toward the viewer's position, and this road follows right-hand traffic rules. Is the car currently keeping to its correct side of the road? Answer yes or no.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 3.8274}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 53, "image": "612c657e-0e9c-4b2b-a741-2d1b1158c172_png.rf.e46b67734667d8de639182c1c6b58968.jpg", "expected": "left hand", "predicted": "left hand", "correct": true, "input_tokens": 1146, "output_tokens": 6, "elapsed_seconds": 2.769971458008513, "metadata": {"question": "Based on the anatomical structure and the grip shown, which of the person's hands is holding the paper? Choose one: left hand or right hand.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8523}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 54, "image": "bc085807-a87c-42c4-85dc-07885733dac6_png.rf.86d16faa2e4e01ea9b2f076098eda3da.jpg", "expected": "2805.47", "predicted": "2805.47", "correct": true, "input_tokens": 1192, "output_tokens": 11, "elapsed_seconds": 2.27628479199484, "metadata": {"question": "If the customer adds two more units of Product XYZ while the unit price and tax rate stay the same, what will the revised invoice total be? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.2851}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 55, "image": "4d261616-1f0b-4f51-8ebe-eaee7b84825e_png.rf.e8a48b995002e60e7809ef941602370f.jpg", "expected": "left side", "predicted": "left side", "correct": true, "input_tokens": 1162, "output_tokens": 6, "elapsed_seconds": 2.398115499992855, "metadata": {"question": "From the perspective of a driver seated inside and facing forward, which side of the car contains the visible damage? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.4107}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 56, "image": "7d7e098f-4a0d-4864-b2ea-d57988d4d061_png.rf.950712e3033a1d927b27752329326738.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1180, "output_tokens": 5, "elapsed_seconds": 4.826035207952373, "metadata": {"question": "From the perspective of a driver inside the blue SUV at the bottom of the image looking forward, on which side of their vehicle is the yellow Mazda? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.9461}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 57, "image": "19f45907-d682-40cf-bb87-9133dc873871_png.rf.8d5ae1def0513a436febceba4ca296a6.jpg", "expected": "left hand", "predicted": "left hand", "correct": true, "input_tokens": 1195, "output_tokens": 6, "elapsed_seconds": 2.564375124988146, "metadata": {"question": "Based on the visible features and orientation of the hand pressing the button, which of the person's hands is being used? Choose one: left hand or right hand.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.5856}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 58, "image": "347cb08d-5018-4506-8ff7-6052b5215bee_png.rf.f2241527449eeba4edc25991a9428857.jpg", "expected": "19190.95", "predicted": "19190.95", "correct": true, "input_tokens": 1199, "output_tokens": 12, "elapsed_seconds": 3.1110415830044076, "metadata": {"question": "If the e-transfer withdrawal to 'budget AUTO glass' on July 15 had not occurred, what would the final balance be after the transaction on July 16? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1382}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 59, "image": "6bdb57de-1206-40d4-a60a-1ac4c22a0468_png.rf.a9d75682ae8f6507d6225b4fa0e1d7f6.jpg", "expected": "right side", "predicted": "right side", "correct": true, "input_tokens": 1177, "output_tokens": 6, "elapsed_seconds": 4.018070916994475, "metadata": {"question": "From the perspective of the driver sitting inside the vehicle looking forward, on which side of the dashboard is the plush toy located? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.0441}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 60, "image": "97a91186-1382-40c6-8e10-ca36e7a94269_png.rf.f9de5fd2b340b608eb21d6e7fc1d9949.jpg", "expected": "parallel", "predicted": "parallel", "correct": true, "input_tokens": 1186, "output_tokens": 5, "elapsed_seconds": 3.0613054999848828, "metadata": {"question": "Consider the log currently held in the grapple above the pile. Is its long axis oriented parallel or perpendicular to the logs stacked in the pile? Choose one: parallel or perpendicular.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.0778}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 61, "image": "68b07f85-3cf2-4e70-af98-06ef0c9d2c58_png.rf.d63e64af870bba743f8c88c43567124d.jpg", "expected": "unloading", "predicted": "loading", "correct": false, "input_tokens": 1168, "output_tokens": 5, "elapsed_seconds": 3.0301911670248955, "metadata": {"question": "Based on the worker's posture and direction of movement, is he loading the stack of red crates into the truck or unloading them from the truck? Choose one: loading or unloading.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 3.0776}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 62, "image": "db85c5c8-8aa2-4f36-93dd-7f73a9c7b9c0_png.rf.d13c340009833ccd6defe35016843595.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1186, "output_tokens": 5, "elapsed_seconds": 4.580971540999599, "metadata": {"question": "From the perspective of a driver sitting inside the car and looking forward, on which side of the vehicle is the 'SPORT' badge located? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.6325}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 63, "image": "2e1a4d87-f03c-4189-9406-7968664edda2_png.rf.7605c122843447cd3cbdda9bfc61fe25.jpg", "expected": "2700.00", "predicted": "2700.00", "correct": true, "input_tokens": 1192, "output_tokens": 11, "elapsed_seconds": 2.902332541067153, "metadata": {"question": "If the same supplier shipped 100 additional cartons of head gear at the same average per-carton weight implied by this invoice, what would the new total gross weight be in kilograms? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9441}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 64, "image": "2e15743f-6bc8-4cce-8ec0-66eea3a6ca2f_png.rf.dff2a916b2154426e2043eda4cd591dd.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1176, "output_tokens": 5, "elapsed_seconds": 2.7806915000546724, "metadata": {"question": "How many vertical columns in the vending machine contain at least one Pepsi can? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8162}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 65, "image": "3f655000-3416-4906-8785-f716a5195996_png.rf.43d1001a93452d12ad70e047d2c6ed7e.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1184, "output_tokens": 5, "elapsed_seconds": 22.308526332955807, "metadata": {"question": "If you want to prepare breakfast plates that each require exactly 2 eggs and half an apple, what is the maximum number of such plates you can complete using only the visible eggs and apples? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 22.4105}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 66, "image": "4b1a9f4a-6b60-4350-b603-55755b49eaa7_png.rf.1a82163a0fad58cd34885043f4c4eb55.jpg", "expected": "15", "predicted": "15", "correct": true, "input_tokens": 1174, "output_tokens": 6, "elapsed_seconds": 3.644059041980654, "metadata": {"question": "At V_DS = 10 V, what is the approximate increase in drain current when V_GS rises from 6 V to 7 V? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.6663}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 67, "image": "0b0da260-9ab1-48b3-a909-03dc21a83345_png.rf.be24612c532b032d65b0228f30386968.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1179, "output_tokens": 5, "elapsed_seconds": 4.545952999964356, "metadata": {"question": "If you need to retrieve the box sealed with blue tape, what is the minimum number of other boxes you must remove first so that it is completely unobstructed from above? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.6392}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 68, "image": "214d5a30-f38a-4509-bd53-1e3ea49f9c8b_png.rf.adb2216acfcf57012a8ae573e973f1ca.jpg", "expected": "11.80", "predicted": "11.80", "correct": true, "input_tokens": 1156, "output_tokens": 9, "elapsed_seconds": 3.1618062499910593, "metadata": {"question": "What is the total amount of GST commission charges (NEFT-GST-COMMISSION) debited on September 15, 2025? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.226}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 69, "image": "a605175c-be9c-4e9b-8f69-540e233aa5e8_png.rf.3f3d5135536b2e36c9325081fe4f36ee.jpg", "expected": "left side", "predicted": "left side", "correct": true, "input_tokens": 1202, "output_tokens": 6, "elapsed_seconds": 3.9288154169917107, "metadata": {"question": "Based on the position of the wheel and the wrapping of the bumper, which side of the vehicle (from the perspective of a driver sitting inside and looking forward) is damaged? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.9511}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 70, "image": "01d2cf72-1e3e-425b-8743-ef01ca46252d_png.rf.3f9dc60e26c06dbdc9181e5b067126a0.jpg", "expected": "46.2%", "predicted": "46.2%", "correct": true, "input_tokens": 1172, "output_tokens": 9, "elapsed_seconds": 4.0322255830978975, "metadata": {"question": "Based on the nutritional information per 100g, what percentage of the total fat is saturated fat? Answer with a percentage rounded to one decimal place.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.0522}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 71, "image": "423751b4-264a-4fed-acd4-7432a257389d_png.rf.aca151f72457b1604c2dc4b92bce1c2e.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1182, "output_tokens": 5, "elapsed_seconds": 2.868736375006847, "metadata": {"question": "Based on the technical drawing, what is the total tolerance range (the difference between the maximum and minimum allowable values) for the dimension associated with balloon 24? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9006}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 72, "image": "86827a6f-9148-40bc-84eb-1f26a69fb426_png.rf.7a36b6597b39ee2cb27e013247477184.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1162, "output_tokens": 5, "elapsed_seconds": 4.6422373339300975, "metadata": {"question": "From the perspective of a driver sitting inside the white truck in the foreground and looking forward, on which side of their vehicle is the black SUV? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.6735}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 73, "image": "dfe78d58-fa15-49ac-8673-04b364aaf8f6_png.rf.343b9ddb4be588f14fa49047c656c256.jpg", "expected": "opposite side", "predicted": "opposite side", "correct": true, "input_tokens": 1197, "output_tokens": 6, "elapsed_seconds": 8.347741000005044, "metadata": {"question": "Based on the direction of the shadows cast on the dock, is the sun located on the same side of the ship as the dock, or on the opposite side of the ship? Choose one: same side, or opposite side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.4029}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 74, "image": "85119d73-c38d-44d4-80b9-f7cfc4848029_png.rf.6faf117b9b48a03e7226813130cb8c31.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1203, "output_tokens": 5, "elapsed_seconds": 4.951529458048753, "metadata": {"question": "Treat each occupied compartment as one movable stack. What is the minimum number of whole stacks that must be moved so that no two adjacent occupied compartments contain the same color? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.9825}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 75, "image": "73825c5f-4954-4824-8572-64ed5602323c_png.rf.fac850718e77f19df27b7bf90d021ba7.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1146, "output_tokens": 5, "elapsed_seconds": 5.513865582994185, "metadata": {"question": "What is the minimum number of doors a person must pass through to travel from Bedroom 2 to Bedroom 4? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.5284}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 76, "image": "ea00a7d2-1d73-45a3-8950-7f911a746913_png.rf.6d8d4591e8c887c3d43e174e43cfd621.jpg", "expected": "24", "predicted": "24", "correct": true, "input_tokens": 1154, "output_tokens": 6, "elapsed_seconds": 3.091789041995071, "metadata": {"question": "Based on the 'Hired From' and 'Hired To' dates listed under Employment Data, for how many full years was the subject employed at SOLAR TRADE? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1081}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 77, "image": "e8894dda-fd01-4e8f-b233-7aa1c6924174_png.rf.f8d49103c494c77bf0b4a1c79b12bd32.jpg", "expected": "145", "predicted": "145", "correct": true, "input_tokens": 1161, "output_tokens": 7, "elapsed_seconds": 8.040597790968604, "metadata": {"question": "What is the difference in grams between the target weight indicated in the product name and the actual net quantity of this muskmelon? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.0872}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 78, "image": "29f47b83-0092-4736-a8e7-b3ef23a92354_png.rf.fb2f7e6c321affb606a4919b6a7433ae.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1178, "output_tokens": 5, "elapsed_seconds": 10.344015165930614, "metadata": {"question": "Based on the handwritten dates at the top of the form, how many days elapse between the date the document was written and its effective date? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.3591}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 79, "image": "5cf55f37-8adb-4adb-9520-148340548028_png.rf.e1605fd47b5ae75ba9c34cdcde09e17c.jpg", "expected": "July 10, 2016", "predicted": "June 10, 2016", "correct": false, "input_tokens": 1204, "output_tokens": 14, "elapsed_seconds": 3.1875128749525174, "metadata": {"question": "According to the payment terms and the invoice date, when is payment due? Choose one: June 10, 2016; July 10, 2016; July 5, 2016; August 10, 2016.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 3.2044}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 80, "image": "dae8c81a-4de4-4ef4-9301-25ca1ba03574_png.rf.d6aaed535d1e3ed00116c2b44301deea.jpg", "expected": "away", "predicted": "toward", "correct": false, "input_tokens": 1196, "output_tokens": 5, "elapsed_seconds": 13.066789249889553, "metadata": {"question": "If a worker grabbed the yellow pallet jack's handle and pulled it straight in the direction the handle currently points, would the jack move generally toward the central packing table or away from it? Choose one: toward or away.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 13.1212}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 81, "image": "9056e25e-2e7e-4746-b766-49e5c6aa52df_png.rf.9e357fa580bcb749370734803ddf5655.jpg", "expected": "left side", "predicted": "left side", "correct": true, "input_tokens": 1181, "output_tokens": 6, "elapsed_seconds": 3.5953578329645097, "metadata": {"question": "Based on the door handle's position relative to the vertical seam and the wheel arch at the bottom, which side of the vehicle is shown (from the perspective of a passenger sitting inside and facing forward)? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.6446}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 82, "image": "47ad34a1-d784-48fd-bf0b-9814791703e3_png.rf.0d90c040409da9a682d9d7db5b14476f.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1162, "output_tokens": 5, "elapsed_seconds": 6.370335291023366, "metadata": {"question": "If the Mercedes moves exactly one lane to its left, would it enter the same lane currently occupied by the smaller black car ahead? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.4453}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 83, "image": "0f7a1b1b-b0f9-4dba-9659-0455701b7a3f_png.rf.28278968509f5982105a211e62ac44b1.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1141, "output_tokens": 5, "elapsed_seconds": 4.149439499946311, "metadata": {"question": "Would improving only the attributes currently rated 4 be sufficient to make every listed attribute receive the highest rating? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.1634}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 84, "image": "0f7a1b1b-b0f9-4dba-9659-0455701b7a3f_png.rf.28278968509f5982105a211e62ac44b1.jpg", "expected": "4.5", "predicted": "4.5", "correct": true, "input_tokens": 1139, "output_tokens": 7, "elapsed_seconds": 2.3343158329371363, "metadata": {"question": "What is the average score of the attributes associated with PO11? Answer with a number rounded to one decimal place.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.3496}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 85, "image": "be797fcf-056b-44b2-a1da-b667c3185959_png.rf.29cfb688a5b86d169cb8732bb04f0f72.jpg", "expected": "22", "predicted": "20", "correct": false, "input_tokens": 1166, "output_tokens": 6, "elapsed_seconds": 45.6886843329994, "metadata": {"question": "If the black tray in the foreground has a total capacity of 10 rows with 5 slots per row, how many more devices are needed to completely fill it? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 45.7452}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 86, "image": "861cb64d-800a-4635-999c-739199f8b473_png.rf.c6b83038f9d574bf6dccf2b1554017ec.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1170, "output_tokens": 5, "elapsed_seconds": 24.141629084013402, "metadata": {"question": "Based on the date of the letter and the details provided in the text, how many days are expected to elapse between the date the check was mailed and the date MDA is expected to receive it? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 24.1584}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 87, "image": "22c3fc7f-6563-4f41-8eac-8c7d425b5633_png.rf.2dd8b94855832744d13e2f1185950566.jpg", "expected": "18", "predicted": "18", "correct": true, "input_tokens": 1173, "output_tokens": 6, "elapsed_seconds": 29.46286166610662, "metadata": {"question": "Based on the manpower details table, what is the total number of normal hours (NOR) worked by all listed employees combined on this day? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 29.4967}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 88, "image": "e47241e5-70ca-420f-9c96-05b3095ff135_png.rf.7a32ff91ffc2f7aad43c713c84c3052b.jpg", "expected": "G003...80", "predicted": "G003...80", "correct": true, "input_tokens": 1227, "output_tokens": 11, "elapsed_seconds": 44.12677974998951, "metadata": {"question": "A designer needs a resistor with a resistance of 2.0 k\u03a9 and a tolerance of \u00b10.05%. Based on the specifications, what is the Global Model of the lightest resistor that meets these requirements? Choose one: G001...80, G002, G003...80, or G005.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 44.1813}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 89, "image": "1c9d39fb-7707-4058-8d39-5ef46b4d46bf_png.rf.3c3842ab73120c2d5d767bf08e3b9b44.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1186, "output_tokens": 5, "elapsed_seconds": 9.870295458007604, "metadata": {"question": "From the perspective of the driver seated inside the white pickup and facing its direction of travel, on which side of the truck is the pedestrian? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.929}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 90, "image": "2d031b53-a61c-4de0-b98e-52b14a4c6fcc_png.rf.1abec44486981464bee69aff5fc4acdd.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1158, "output_tokens": 5, "elapsed_seconds": 8.406397209037095, "metadata": {"question": "Assuming each of the two pizzas on the warming station was originally cut into 6 equal slices, how many slices in total have been sold? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.4364}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 91, "image": "d06e0e70-1bed-4998-bcd4-bc8eccac71d3_png.rf.bd4e209d1eda6cadcb0362c0e61a56a0.jpg", "expected": "253730", "predicted": "253730", "correct": true, "input_tokens": 1183, "output_tokens": 10, "elapsed_seconds": 5.9476530000101775, "metadata": {"question": "Using a rule of Medium priority before Low priority, then earliest Created Date to break a tie, which visible ticket should be handled next? Answer with ticket ID.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.9787}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 92, "image": "d06e0e70-1bed-4998-bcd4-bc8eccac71d3_png.rf.bd4e209d1eda6cadcb0362c0e61a56a0.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1182, "output_tokens": 5, "elapsed_seconds": 8.386065792059526, "metadata": {"question": "What is the time difference in hours between the earliest and latest tickets created on Apr 6, 2026? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.419}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 93, "image": "b3f197fe-81ad-4fc1-bd69-d3b01d48b2b8_png.rf.5abbc57e2abc00bdf8184ff41d45e10c.jpg", "expected": "right hand", "predicted": "right hand", "correct": true, "input_tokens": 1145, "output_tokens": 6, "elapsed_seconds": 21.77001887501683, "metadata": {"question": "Based on the position of the thumb and fingers, which hand is the operator using to hold the scanner? Choose one: left hand or right hand.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 21.8539}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 94, "image": "b3f197fe-81ad-4fc1-bd69-d3b01d48b2b8_png.rf.5abbc57e2abc00bdf8184ff41d45e10c.jpg", "expected": "up", "predicted": "up", "correct": true, "input_tokens": 1163, "output_tokens": 5, "elapsed_seconds": 8.805993415997364, "metadata": {"question": "Keeping the scanner at its current tilt so the beam stays horizontal, in which direction should the worker shift the beam so it crosses a barcode's bars perpendicularly and can decode it? Choose one: up, down, left, or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.8885}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 95, "image": "0d8b9fdc-32fc-4324-9e81-414d7762982a_png.rf.10e3ab24f0cc229fc194f19150a9088a.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1167, "output_tokens": 5, "elapsed_seconds": 2.776663333992474, "metadata": {"question": "Which room number becomes completely isolated from all other rooms if the sliding door SD is closed? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7962}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 96, "image": "0d8b9fdc-32fc-4324-9e81-414d7762982a_png.rf.10e3ab24f0cc229fc194f19150a9088a.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1174, "output_tokens": 5, "elapsed_seconds": 5.952562042046338, "metadata": {"question": "What is the minimum number of doors a person must pass through to travel from BedRoom 2 to BathRoom 5? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.9709}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 97, "image": "56b1bbe0-a003-4ba6-8cb2-08dd2f74a08a_png.rf.48d53e8f7bf6d0dbcf9eb16889b0777a.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1177, "output_tokens": 5, "elapsed_seconds": 11.958926083985716, "metadata": {"question": "Based on the relative timestamps shown in the screenshot of the thread, how many hours after Benji Taylor's post did Paul Macgregor post his response? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.9693}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 98, "image": "c2dd6dca-767e-4fe1-8dfb-ead3a37507db_png.rf.96bbfed9aead2bbd919d3b4c1237287a.jpg", "expected": "1.3%", "predicted": "1.3%", "correct": true, "input_tokens": 1178, "output_tokens": 8, "elapsed_seconds": 19.815149665926583, "metadata": {"question": "Comparing the loading units and offloading units recorded on the note, what percentage of the loaded manganese ore fines was lost in transit? Answer with a percentage rounded to one decimal place.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 19.8588}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 99, "image": "c2dd6dca-767e-4fe1-8dfb-ead3a37507db_png.rf.96bbfed9aead2bbd919d3b4c1237287a.jpg", "expected": "520", "predicted": "520", "correct": true, "input_tokens": 1167, "output_tokens": 7, "elapsed_seconds": 12.154498749994673, "metadata": {"question": "What is the difference between the loading units and the offloading units recorded on this delivery note? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 12.2}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 100, "image": "d8552ab5-9930-4bd4-a00c-0f4adbeb76e4_png.rf.fc1f316aa3e9348a20e81d0e619cfa66.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1183, "output_tokens": 5, "elapsed_seconds": 6.730794792063534, "metadata": {"question": "If this document is folded exactly in half by bringing the top edge down to meet the bottom edge, will the two punched holes on the left margin align to overlap each other? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.745}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 101, "image": "42990fe8-872a-4d4e-a1f9-7926a990b803_png.rf.542a9bb854b1ddec7ea9b3c71f102c32.jpg", "expected": "13", "predicted": "13", "correct": true, "input_tokens": 1140, "output_tokens": 6, "elapsed_seconds": 3.8606088330270723, "metadata": {"question": "What is the difference between the number of recorded heights that are at least 150 centimetres and those that are under 142 centimetres? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.8654}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 102, "image": "bcf2178d-166f-4ae9-a0ef-40c03e873d7b_png.rf.45781833e957384c1cc81ae703e548a8.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1187, "output_tokens": 5, "elapsed_seconds": 5.43326512502972, "metadata": {"question": "Judging from the direction traffic travels on this roadway, which barrier are the two crashed SUVs resting against from the perspective of drivers on this road? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.4795}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 103, "image": "e8acc7bd-43d8-4902-8871-758a81216657_png.rf.3fdb3f122bcab387f522f1113b53a202.jpg", "expected": "yes", "predicted": "yes", "correct": true, "input_tokens": 1193, "output_tokens": 5, "elapsed_seconds": 10.802323666983284, "metadata": {"question": "A goaltender standing in the crease of the visible net faces up-ice toward the oncoming play. Are the majority of the green-jerseyed players currently on his left side? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.8579}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 104, "image": "c9dbd271-e8bd-4a4c-9d90-dcc53a4910f6_png.rf.7b116829f9e80042e6ff64cae0ce75bd.jpg", "expected": "18", "predicted": "18", "correct": true, "input_tokens": 1193, "output_tokens": 6, "elapsed_seconds": 69.89512779098004, "metadata": {"question": "Using standard chess piece values where a pawn is 1 point, a bishop or knight is 3 points, and a rook is 5 points, what is the total point value of the captured white pieces set aside on the right? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 69.9486}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 105, "image": "4409ba1c-5b55-47e4-8fb3-ed245021d0bb_png.rf.274f7c4fb87e3efa82cd64b8840d0de7.jpg", "expected": "75.00", "predicted": "75.00", "correct": true, "input_tokens": 1151, "output_tokens": 9, "elapsed_seconds": 56.67913895798847, "metadata": {"question": "If the customer had decided to keep the Lipsy Bikini Bottoms instead of returning them, what would the total refunded amount be? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 56.7486}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 106, "image": "dc0f068d-8a08-4674-8415-973756621fea_png.rf.e7ad2a97bf4cfd59534ddd786e1bfa09.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1180, "output_tokens": 5, "elapsed_seconds": 4.785383458947763, "metadata": {"question": "What is the difference between the number of times 'C' is marked and the number of times 'D' is marked on this sheet? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.7911}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 107, "image": "fd40be2e-2c23-4d4f-9af8-bee299b30fb0_png.rf.d32862e3f7c08fa121abceaa35a724bf.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1142, "output_tokens": 5, "elapsed_seconds": 69.26440283306874, "metadata": {"question": "How many of the 9 columns in the vending machine contain at least one bottle with a green cap? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 69.3175}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 108, "image": "39e13a5d-7f3d-4cb3-b99e-5a31236bdb32_png.rf.ac7593ea805bf54030232955f3054140.jpg", "expected": "38", "predicted": "38", "correct": true, "input_tokens": 1155, "output_tokens": 6, "elapsed_seconds": 3.57851095800288, "metadata": {"question": "If we want to fill the display cabinet so that every compartment contains exactly one car, how many additional cars must be added? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 3, "retries": 2, "total_seconds": 44.4634, "transient_errors": ["RemoteProtocolError", "RemoteProtocolError"]}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 109, "image": "ed033e2a-4072-4930-98ed-35aa45aee1d9_png.rf.3b133b1ed5ad005654d6d55fde0e6a80.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1178, "output_tokens": 5, "elapsed_seconds": 64.00967841700185, "metadata": {"question": "From the perspective of a driver sitting inside the cab of the dump truck with the green tarp and looking forward, which side door of the cab is open? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 64.0826}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 110, "image": "25e6ed9c-2d37-4533-8021-977770aa97d1_png.rf.5e4c7a4776bb280dedd569d309846abd.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1182, "output_tokens": 5, "elapsed_seconds": 17.347632749937475, "metadata": {"question": "Without adding or removing any cylinders, can the load be rearranged so that all four horizontal rows contain exactly the same number of cylinders? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 17.3992}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 111, "image": "17a88e1e-fb1c-46f0-8620-8f19854b8fff_png.rf.e4fb269a60ea85233a7bdd3d43ef4aa1.jpg", "expected": "right side", "predicted": "right side", "correct": true, "input_tokens": 1195, "output_tokens": 6, "elapsed_seconds": 18.09200249996502, "metadata": {"question": "Based on the relative positions of the wheel and the front fog light, which side of the vehicle (from the perspective of a driver sitting inside and looking forward) is damaged? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 18.1121}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 112, "image": "3a1d4bd3-6db0-4cda-881d-e9ae4c194abb_png.rf.34d91902d10ee43e73241d5a9df8fa98.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1157, "output_tokens": 5, "elapsed_seconds": 41.12325754202902, "metadata": {"question": "From the perspective of an officer sitting in the driver's seat of this SUV and facing forward, on which side of the vehicle is the person in the hooded sweatshirt standing? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 41.231}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 113, "image": "0c721c3c-19a5-4857-89af-7d480d1a8ad6_png.rf.d4d68898257830e57382ff91e2ca4912.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1185, "output_tokens": 5, "elapsed_seconds": 15.868790708947927, "metadata": {"question": "A patient must take medication only on odd-numbered days of the week (days 1, 3, 5, and 7), leaving even-numbered days (days 2, 4, and 6) empty. How many of the 28 trays are prepared exactly according to this schedule? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 15.9455}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 114, "image": "0c721c3c-19a5-4857-89af-7d480d1a8ad6_png.rf.d4d68898257830e57382ff91e2ca4912.jpg", "expected": "8", "predicted": "6", "correct": false, "input_tokens": 1154, "output_tokens": 5, "elapsed_seconds": 55.314421875053085, "metadata": {"question": "A patient must take medication every day of the week, with all seven days filled. How many of the 28 trays are prepared exactly according to this schedule? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 55.3974}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 115, "image": "fd7145ce-ff54-42eb-b555-006479012309_png.rf.b64dc2701743bae035f831b7e381d8a1.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1162, "output_tokens": 5, "elapsed_seconds": 29.4491912079975, "metadata": {"question": "Based on the handwritten entries in the rent table, how many of the listed periods have a base monthly rent of exactly $2500.00? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 29.474}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 116, "image": "62bb473c-8343-402f-a809-8a36d42884ff_png.rf.979d16777be23bdc0037837ff45a8b29.jpg", "expected": "14", "predicted": "14", "correct": true, "input_tokens": 1196, "output_tokens": 6, "elapsed_seconds": 46.39328208297957, "metadata": {"question": "If a fully stocked column in this tray contains exactly 7 ice creams, how many additional ice creams are needed to fully stock all 7 columns (numbered 31 through 37)? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 46.4477}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 117, "image": "94bfcdd8-0a2b-4903-95da-34fea7e1899c_png.rf.73c78580b0e05542ed686abf5b77f46d.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1151, "output_tokens": 5, "elapsed_seconds": 34.853154166950844, "metadata": {"question": "Based on the printed date of birth and date of expiry, will the cardholder have already turned 40 years old by the time this card expires? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 34.9449}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 118, "image": "b8891395-36f3-42e5-a1d2-616a922e0771_png.rf.b7e3860f9d0d9ab3e7f7fd0a6742a738.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1165, "output_tokens": 5, "elapsed_seconds": 29.794071083073504, "metadata": {"question": "Before the pharmacist can sweep the loose capsules on the tray surface into the transparent channel at the top, must the clear cover first be lifted open? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 29.9072}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 119, "image": "7315cbf8-64fb-436e-8446-d2f061545df7_png.rf.6f038540710afe5f888b22200ca39932.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1138, "output_tokens": 5, "elapsed_seconds": 11.235294957994483, "metadata": {"question": "What is the minimum number of additional dominoes needed so that all five visible tiles can be used in one valid matching chain? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.3086}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 120, "image": "7315cbf8-64fb-436e-8446-d2f061545df7_png.rf.6f038540710afe5f888b22200ca39932.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1146, "output_tokens": 5, "elapsed_seconds": 22.604928167071193, "metadata": {"question": "If no new dominoes may be added, what is the minimum number of visible tiles that must be left out to arrange all the others as one valid matching chain? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 22.6824}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 121, "image": "7315cbf8-64fb-436e-8446-d2f061545df7_png.rf.6f038540710afe5f888b22200ca39932.jpg", "expected": "8", "predicted": "8", "correct": true, "input_tokens": 1138, "output_tokens": 5, "elapsed_seconds": 5.0814280840568244, "metadata": {"question": "What is the total number of dots (pips) across all the dominoes that have at least one completely blank half? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.1553}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 122, "image": "841a0a03-fb48-4b1b-8e75-8abef424a913_png.rf.f11c6efbf5e3b71b7477a83694d80fce.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1154, "output_tokens": 5, "elapsed_seconds": 9.49773195805028, "metadata": {"question": "If the container is carrying 28,000 kg of cargo, can an additional 900 kg shipment be loaded without exceeding the stated payload limit? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.5948}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 123, "image": "ddb36742-789d-4a6f-a256-5998c9acd5cd_png.rf.f0ede67f0e9f049e1f036fb52b97641d.jpg", "expected": "4.40", "predicted": "4.40", "correct": true, "input_tokens": 1127, "output_tokens": 8, "elapsed_seconds": 6.228775832918473, "metadata": {"question": "Based on the regular prices listed on the receipt, how much total money was saved on the discounted items compared to their regular prices? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.2694}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 124, "image": "3cd889b7-4626-47fe-af90-b98b2d5ffdfc_png.rf.7515e2b89f3d7561f907f84154e00de5.jpg", "expected": "3921.09", "predicted": "3921.09", "correct": true, "input_tokens": 1195, "output_tokens": 11, "elapsed_seconds": 10.806774166994728, "metadata": {"question": "Among the seven individual items listed in the table on this page, what is the sum of the amounts for the items that expire in the year 2028? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.8763}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 125, "image": "3cd889b7-4626-47fe-af90-b98b2d5ffdfc_png.rf.7515e2b89f3d7561f907f84154e00de5.jpg", "expected": "15", "predicted": "15", "correct": true, "input_tokens": 1188, "output_tokens": 6, "elapsed_seconds": 5.874627000070177, "metadata": {"question": "Among the seven individual items listed in the table on this page, what is the total quantity of items that have a discount of 6.00%? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.9459}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 126, "image": "f035f306-754e-4ab9-bd14-80de6cb9353f_png.rf.463bdd12d569cb3ed06ddefa4f7c0544.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1141, "output_tokens": 5, "elapsed_seconds": 4.427636499982327, "metadata": {"question": "If you group all the visible beans into sets of three, how many beans will remain ungrouped? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.5193}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 127, "image": "32beea2c-22a7-4032-9914-2b8af79a6ca6_png.rf.afa9d4a51e3264b766523b0b6c43118f.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1164, "output_tokens": 5, "elapsed_seconds": 22.593219207949005, "metadata": {"question": "Does the circled total score in red at the bottom-left corner equal the sum of all individual question scores marked in red on this page? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 22.6351}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 128, "image": "1b4e5426-d109-4398-8e45-ab1dc497980f_png.rf.da896199922990bcefe9fec6ce57cec6.jpg", "expected": "11", "predicted": "11", "correct": true, "input_tokens": 1190, "output_tokens": 6, "elapsed_seconds": 16.570704541984014, "metadata": {"question": "If each correct red-circled response earns one point and the blue worked example is excluded, what is the student's score out of 12? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 16.621}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 129, "image": "864cf752-35ed-44ca-9e73-a27ba19cecb3_png.rf.d9a6b6882d7d84ae1066efdb3590df46.jpg", "expected": "12", "predicted": "12", "correct": true, "input_tokens": 1182, "output_tokens": 6, "elapsed_seconds": 8.205742750084028, "metadata": {"question": "If the player currently holding the ball successfully shoots and scores from her current position, what will Washington's total score become? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 8.2672}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 130, "image": "bffbaa49-7832-430e-995d-4db0336f7444_png.rf.705666d967baf405ca5b8c91e2e291d1.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1167, "output_tokens": 5, "elapsed_seconds": 11.858711874927394, "metadata": {"question": "If three nuts are allocated to one mounting job, can five complete mounting jobs be supplied from the visible nuts? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.9335}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 131, "image": "3cc9dff1-0e00-4900-9013-00d7b1be6a09_png.rf.4fb05de3247bdec3e1119e997d8f465b.jpg", "expected": "4", "predicted": "2", "correct": false, "input_tokens": 1206, "output_tokens": 5, "elapsed_seconds": 4.704236833960749, "metadata": {"question": "Based on the runners' current positions relative to the finish line on the right, which lane contains the runner currently in second place? Answer with a single integer, counting lanes from top (Lane 1) to bottom (Lane 8).", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 4.722}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 132, "image": "4963b4c1-9126-48bc-ac30-e28cf692d079_png.rf.b0fe0fbf8e74b310187bebdb4e04529c.jpg", "expected": "right side", "predicted": "right side", "correct": true, "input_tokens": 1190, "output_tokens": 6, "elapsed_seconds": 38.74749574996531, "metadata": {"question": "Based on the visible wheel and headlight positions, which front side of the vehicle has the scuffed fender from the driver's forward-facing perspective? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 38.8866}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 133, "image": "6b1464af-2a20-4dc1-9b69-67b163aad58b_png.rf.5558871ebbc74585da7539ae1c82803b.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1158, "output_tokens": 5, "elapsed_seconds": 22.628271209076047, "metadata": {"question": "Identify the column in the seedling tray that contains the longest continuous vertical sequence of empty plugs (containing only soil with no sprouted seedlings). How many empty plugs are in this longest sequence? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 22.7459}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 134, "image": "6b1464af-2a20-4dc1-9b69-67b163aad58b_png.rf.5558871ebbc74585da7539ae1c82803b.jpg", "expected": "top half", "predicted": "top half", "correct": true, "input_tokens": 1163, "output_tokens": 6, "elapsed_seconds": 26.827909916988574, "metadata": {"question": "If the seedling tray is divided horizontally into a top half (rows 1 to 6) and a bottom half (rows 7 to 12), which half contains more empty plugs? Choose one: top half or bottom half.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 26.9466}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 135, "image": "dea1a5c6-1f2e-4b07-946a-898cd8732f5f_png.rf.2317c0f63fa82df7683229a1fb7f5cd0.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1135, "output_tokens": 5, "elapsed_seconds": 38.85128179192543, "metadata": {"question": "How many shelves in the vending machine are stocked exclusively with water bottles? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 38.9677}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 136, "image": "93bf4bd9-63d1-4a73-97c8-e0e904fd029c_png.rf.c1d6a7530844ca542169fdee4d809e3e.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1145, "output_tokens": 5, "elapsed_seconds": 42.564212542027235, "metadata": {"question": "If the pressure rises by 1 bar from the gauge's current reading, would the needle enter the red warning band? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 42.6701}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 137, "image": "47352e6f-33b7-4c16-a520-03c8afe4c357_png.rf.4232d80b4b83ee4ee01af34332beae25.jpg", "expected": "on top", "predicted": "on top", "correct": true, "input_tokens": 1176, "output_tokens": 6, "elapsed_seconds": 13.483586583053693, "metadata": {"question": "Between the two crossed straight pins with black heads, does the pin with its black head at the bottom-right lie on top of or underneath the other pin? Choose one: on top or underneath.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 13.6006}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 138, "image": "40a321ee-89d8-4846-a3cf-b01413e971a3_png.rf.fbb996228d647f5d917d28665d8698db.jpg", "expected": "lower right", "predicted": "lower right", "correct": true, "input_tokens": 1168, "output_tokens": 6, "elapsed_seconds": 10.3815846669022, "metadata": {"question": "Based on the long shadows cast by the cattle, from which direction in the image is the sunlight coming? Choose one: upper left, upper right, lower left, or lower right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.4341}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 139, "image": "9c949507-b9b3-4a20-b76b-24512aedea5e_png.rf.450473e96e9282304c85265164cf0d78.jpg", "expected": "increase", "predicted": "increase", "correct": true, "input_tokens": 1145, "output_tokens": 5, "elapsed_seconds": 25.582915875012986, "metadata": {"question": "To move the indicated pressure into the green operating band using the smallest change, should the pressure be increased or decreased? Choose one: increase or decrease.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 25.7065}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 140, "image": "e3685148-49ec-4ad2-9f50-8d9133ce35cd_png.rf.b2bbd5b99df26d40ae43a5cd2cf549c7.jpg", "expected": "no", "predicted": "Yes", "correct": false, "input_tokens": 1155, "output_tokens": 5, "elapsed_seconds": 18.4148738340009, "metadata": {"question": "If a customer has a budget of 30.00 \u20ac, do they have enough money to buy one box of Berocca Boost and one box of Berocca Energie? Answer yes or no.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 18.5329}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 141, "image": "d7a763ce-28eb-4366-9169-d68f30a452b5_png.rf.b74d57acbfc696374bd43af86dc6931d.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1159, "output_tokens": 5, "elapsed_seconds": 5.332109124981798, "metadata": {"question": "Can a person travel from the Chambre to the Cuisine without entering the Salon? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.4197}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 142, "image": "d7a763ce-28eb-4366-9169-d68f30a452b5_png.rf.b74d57acbfc696374bd43af86dc6931d.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1169, "output_tokens": 5, "elapsed_seconds": 4.856722624972463, "metadata": {"question": "Starting from outside the apartment, what is the minimum number of doors a person must pass through to enter the SDB? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.9437}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 143, "image": "c46b41e5-447a-47dd-8780-7877ae92faef_png.rf.baa63153d8d89462d240f65b8eda302b.jpg", "expected": "correct lane", "predicted": "oncoming lane", "correct": false, "input_tokens": 1182, "output_tokens": 7, "elapsed_seconds": 22.875430959044024, "metadata": {"question": "Based on standard United States road marking rules, is this vehicle driving in the correct lane or the oncoming lane? Choose one: correct lane or oncoming lane.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 22.9365}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 144, "image": "ac750e7d-de93-4813-828d-409d16bd176b_png.rf.6559b085ab129da83454776a9ff2f3c3.jpg", "expected": "20", "predicted": "18", "correct": false, "input_tokens": 1155, "output_tokens": 6, "elapsed_seconds": 3.4263026249827817, "metadata": {"question": "Based on the handwritten corrections, what is the difference between the original printed total number of events and the revised number of events? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 3.4457}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 145, "image": "76b25762-3b57-4158-9fab-945416165ada_png.rf.9990ab2a22469b04a599b81d43f7c09d.jpg", "expected": "118.00", "predicted": "118.00", "correct": true, "input_tokens": 1151, "output_tokens": 10, "elapsed_seconds": 34.583085874910466, "metadata": {"question": "If the ribeye and the Afri Hot Chilli sauce are paid for separately, how much remains for the rest of the bill? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 34.7096}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 146, "image": "d0b99ce8-8a3b-4d1d-98d4-b34137b19f08_png.rf.135586d63ba8944adf934e8d0cd9cc00.jpg", "expected": "1648", "predicted": "1648", "correct": true, "input_tokens": 1164, "output_tokens": 8, "elapsed_seconds": 12.899290916044265, "metadata": {"question": "What is the earliest year printed on any of the stamps in this sheet? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 12.9983}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 147, "image": "c91f10e7-1c18-434d-b9e6-2e570646da9d_png.rf.20b9e5afdcfab594a06be3928964180f.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1180, "output_tokens": 5, "elapsed_seconds": 13.364384167012759, "metadata": {"question": "If a driver without disability parking authorization wanted to use the space occupied by the dark sedan, would parking there be permitted? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 13.4194}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 148, "image": "8e2f7010-f314-4b13-badc-9a24ecdd1a45_png.rf.6aef955cc77c9959113ec1f1db73b0c3.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1151, "output_tokens": 5, "elapsed_seconds": 18.570838791085407, "metadata": {"question": "From the perspective of the truck driver seated in the cab and looking forward through the windshield, on which side is the large pyramid of blue drums? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 18.6388}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 149, "image": "76d985c4-8ba2-4660-871b-939bba136896_png.rf.42cd356e987e94c1579c6ffb589f753c.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1172, "output_tokens": 5, "elapsed_seconds": 29.513975084060803, "metadata": {"question": "If a qualifying shot must land in the 9-ring or closer to the center, has the target recorded at least five qualifying shots? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 29.6121}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224152", "index": 150, "image": "76d985c4-8ba2-4660-871b-939bba136896_png.rf.42cd356e987e94c1579c6ffb589f753c.jpg", "expected": "60", "predicted": "60", "correct": true, "input_tokens": 1163, "output_tokens": 6, "elapsed_seconds": 14.359702249988914, "metadata": {"question": "What is the total score of all shots that landed within the black region of the target? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 14.4559}} diff --git a/results/reasoning_gemini-4-argon_low_20261012_224154.jsonl b/results/reasoning_gemini-4-argon_low_20261012_224154.jsonl new file mode 100644 index 0000000..ed20ddf --- /dev/null +++ b/results/reasoning_gemini-4-argon_low_20261012_224154.jsonl @@ -0,0 +1,151 @@ +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 0, "image": "85202175-9c3b-4a40-b0a9-3c0d33e250b6_png.rf.9afa602969ee1e53f32d2cd370c4c96b.jpg", "expected": "1", "predicted": "2", "correct": false, "input_tokens": 1157, "output_tokens": 5, "elapsed_seconds": 4.741106375004165, "metadata": {"question": "If a worker wants to rearrange the five numbered pipes so that their labels are in strictly ascending order from top to bottom, what is the minimum number of pipes that must be moved? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 4.7985}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 1, "image": "4f216ea0-af67-40e1-a226-2884e051db56_png.rf.09105ef6b5dab81d9f1a17fd1c6b2c34.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1147, "output_tokens": 5, "elapsed_seconds": 3.3064437500433996, "metadata": {"question": "How many days after the date written on the top right of the letter is the patient's kidney transplant scheduled to take place? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.3697}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 2, "image": "d0980bab-2f15-4550-b3e6-813a2ad7e709_png.rf.46eb3c9c65328046e37275727bbeba8f.jpg", "expected": "1/2", "predicted": "1/2", "correct": true, "input_tokens": 1185, "output_tokens": 7, "elapsed_seconds": 3.4015220410656184, "metadata": {"question": "Given that the selected number satisfies condition (iii), what is the probability that it also satisfies condition (iv)? Choose one: 0, 1/4, 1/2, or 1.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.4704}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 3, "image": "85133aaa-d105-42fc-9fb7-95b84cbcead1_png.rf.dd175df27fe32c388e49c027b817bd77.jpg", "expected": "opposite directions", "predicted": "opposite directions", "correct": true, "input_tokens": 1197, "output_tokens": 6, "elapsed_seconds": 6.221456832950935, "metadata": {"question": "In the paved courtyard, a white car and a dark grey sedan are parked side-by-side in the middle. Are these two vehicles parked facing the same direction or opposite directions? Choose one: same direction or opposite directions.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.3172}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 4, "image": "cf479a9e-f37a-4a83-ba88-9c8813100830_png.rf.39718b9777bb616b7fab6dd75e98da87.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1163, "output_tokens": 5, "elapsed_seconds": 4.190167500055395, "metadata": {"question": "From the perspective of the customer standing at the checkout facing the screen, on which side of the scanner is the bagging platform with the plastic bags located? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.2431}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 5, "image": "afb31dc3-8a6d-445f-ac38-f772de2bccd4_png.rf.592a5fece3103b7455dd062f81f25633.jpg", "expected": "upper-left", "predicted": "lower-left", "correct": false, "input_tokens": 1173, "output_tokens": 7, "elapsed_seconds": 5.771641124971211, "metadata": {"question": "Judging by the direction the building shadows point across the block, toward which corner of the image does the sunlight appear to be shining from (i.e., shadows point away from that corner)? Choose one: upper-left, upper-right, lower-left, or lower-right.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 5.8476}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 6, "image": "52dc8fa9-e959-409e-baeb-84dd14382804_png.rf.48fb415d0a2851464da46f9e94f3598b.jpg", "expected": "Flurotec-coated bromobutyl serum stoppers", "predicted": "Flurotec-coated bromobutyl serum stoppers", "correct": true, "input_tokens": 1179, "output_tokens": 14, "elapsed_seconds": 3.7138602499617264, "metadata": {"question": "Which packaging material was dispensed furthest above its required quantity? Choose one: amber glass vial, Flurotec-coated bromobutyl serum stoppers, or purple flip-off seal.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.8011}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 7, "image": "badd5270-702b-4161-804a-3875ebeaab25_png.rf.87a2d89de755bd8e677f27f6c325b675.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1182, "output_tokens": 5, "elapsed_seconds": 4.839980499935336, "metadata": {"question": "In the visible table, what is the difference between the number of rows with Real Customer Group '1278' and those with '1001'? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.8609}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 8, "image": "badd5270-702b-4161-804a-3875ebeaab25_png.rf.87a2d89de755bd8e677f27f6c325b675.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1170, "output_tokens": 5, "elapsed_seconds": 6.705116082914174, "metadata": {"question": "Excluding the row where the Party is 'NONE', how many unique Party values are listed in the table? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.7297}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 9, "image": "76bbc10c-bed4-41d3-8622-035eeabc5596_png.rf.b20dacd6d7f36277f12a5de62bcc77d5.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1143, "output_tokens": 5, "elapsed_seconds": 5.193464957992546, "metadata": {"question": "How many total boxes of trial lenses are missing from the column labeled 110 in the bottom section? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.3049}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 10, "image": "76bbc10c-bed4-41d3-8622-035eeabc5596_png.rf.b20dacd6d7f36277f12a5de62bcc77d5.jpg", "expected": "+1.00", "predicted": "+1.00", "correct": true, "input_tokens": 1160, "output_tokens": 9, "elapsed_seconds": 5.180933334049769, "metadata": {"question": "In the bottom section, which SPH power row is completely empty across all five columns? Choose one: +3.00, +2.00, +1.00, or -6.00.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.303}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 11, "image": "f76b953e-a7af-4f0b-b25d-8464103c4b2d_png.rf.2323d361c5c1df73ba3feca61d206a76.jpg", "expected": "278", "predicted": "278", "correct": true, "input_tokens": 1145, "output_tokens": 7, "elapsed_seconds": 2.8530275829834864, "metadata": {"question": "According to the nutritional information, how many total calories (Kcal) are contained in a portion of this snack that contains exactly 18 grams of fat? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8906}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 12, "image": "f76b953e-a7af-4f0b-b25d-8464103c4b2d_png.rf.2323d361c5c1df73ba3feca61d206a76.jpg", "expected": "58.3%", "predicted": "58.3%", "correct": true, "input_tokens": 1148, "output_tokens": 9, "elapsed_seconds": 5.933277916978113, "metadata": {"question": "Based on the nutritional information per 100g, what percentage of the total energy comes from fat, using 9 kcal per gram of fat? Answer with a percentage rounded to one decimal place.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.9707}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 13, "image": "bb5d817a-0216-4404-a737-dc3a118edda4_png.rf.de0c951943b6ce799e856483fae63599.jpg", "expected": "2.742", "predicted": "2.742", "correct": true, "input_tokens": 1169, "output_tokens": 9, "elapsed_seconds": 4.3138385829515755, "metadata": {"question": "Based on the technical drawing, what is the horizontal distance between the leftmost center of the left slot and the vertical centerline of the top hole? Answer with a number rounded to three decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.3321}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 14, "image": "f1f21256-337e-4348-ab9a-13351b9666bc_png.rf.f7241e285cd093e86b7c7fa3968fcf5d.jpg", "expected": "11", "predicted": "11", "correct": true, "input_tokens": 1168, "output_tokens": 6, "elapsed_seconds": 3.7845694170100614, "metadata": {"question": "How many days elapse between the date the delivery note was issued and the scheduled delivery date? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.7927}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 15, "image": "dc13d7fa-f450-4040-a92b-a7d4f065e31d_png.rf.72799758463340501608cda7b66e2b78.jpg", "expected": "6", "predicted": "23", "correct": false, "input_tokens": 1159, "output_tokens": 6, "elapsed_seconds": 3.730972208897583, "metadata": {"question": "What is the total number of containers associated with all samples designated as composite ('C') under the collection type? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 3.7717}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 16, "image": "dc13d7fa-f450-4040-a92b-a7d4f065e31d_png.rf.72799758463340501608cda7b66e2b78.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1161, "output_tokens": 5, "elapsed_seconds": 3.9038954169955105, "metadata": {"question": "Does preservation code N apply to more total containers than preservation code S when every checked row is weighted by its listed container count? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.9439}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 17, "image": "8e5b7a3a-7b69-4663-8f76-5b772006e748_png.rf.f9a5eaa49d2d77a19776b2b8db176942.jpg", "expected": "11.9 cm", "predicted": "11.9 cm", "correct": true, "input_tokens": 1162, "output_tokens": 9, "elapsed_seconds": 2.798532749991864, "metadata": {"question": "Based on the horizontal ruler, what is the length of the blister pack? Choose one: 11.4 cm, 11.9 cm, 12.4 cm, or 12.9 cm.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.811}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 18, "image": "396282bc-0d15-4e53-8803-7e5b69c1bef0_png.rf.7026903692b33b2e719785561327c679.jpg", "expected": "no", "predicted": "no", "correct": true, "input_tokens": 1186, "output_tokens": 5, "elapsed_seconds": 2.8055741250282153, "metadata": {"question": "If the worker wants to assemble another dessert cup matching those on the trays, can it be completed using only the loose ingredients visibly available on the table? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8512}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 19, "image": "ea5e1584-2445-412a-ab88-341719a020fb_png.rf.e18e5930f3b7aaeffe6681b1e4b5928d.jpg", "expected": "4026.72", "predicted": "4026.72", "correct": true, "input_tokens": 1188, "output_tokens": 11, "elapsed_seconds": 2.3504074580268934, "metadata": {"question": "If the \u20ac450 rework discount were removed while all other entries and the 19% VAT rate stayed unchanged, what would the resulting invoice total including VAT be? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.3697}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 20, "image": "8f5959cc-c71e-4f39-926e-f88be3cd618b_png.rf.fd70f6581b5f9ef831b77090bcd8e310.jpg", "expected": "250", "predicted": "250", "correct": true, "input_tokens": 1173, "output_tokens": 7, "elapsed_seconds": 2.9325918330578133, "metadata": {"question": "Subtract the total net weight from the total weight gross listed on the delivery note, and express the packaging weight in grams. Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9435}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 21, "image": "1eae1c65-b395-4666-85f9-bf941b1def2c_png.rf.ee7f186d8bab2cd5b0cfb02161c8302a.jpg", "expected": "4", "predicted": "3", "correct": false, "input_tokens": 1172, "output_tokens": 5, "elapsed_seconds": 5.4930216249777, "metadata": {"question": "How many days elapsed between the date this cleaning record became effective and the date Section E was crossed out and signed? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 5.5548}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 22, "image": "ed48ae7c-8ca6-4fd9-9483-28df8487b82d_png.rf.36fc2484e3acc322295ec134e0068226.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1192, "output_tokens": 5, "elapsed_seconds": 7.933463666005991, "metadata": {"question": "From the perspective of a driver sitting inside the white sedan and looking forward, on which side of their vehicle's front end did the collision occur? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.9794}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 23, "image": "96a170be-c707-476a-87c6-8f9229dc9735_png.rf.088cef7f2ff77232fe6904a6836a5135.jpg", "expected": "upper row", "predicted": "upper row", "correct": true, "input_tokens": 1183, "output_tokens": 6, "elapsed_seconds": 5.085766416974366, "metadata": {"question": "For an arriving trailer needing an open marked bay, which row offers more parking options: upper row or lower row? Choose one: upper row or lower row.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.1457}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 24, "image": "f7ec4cc8-90a9-4a3f-8603-91de3073b392_png.rf.669686b7efc2f35cae0ce34ba90377ff.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1153, "output_tokens": 5, "elapsed_seconds": 2.8114447499392554, "metadata": {"question": "Based on the position of the audio jack plugged into the panel, which side of the boy's head from his own perspective is closer to the plug? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8235}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 25, "image": "b5ef866d-feb2-411f-ac5c-40c395cc3c62_png.rf.66b42d06fd426729cfaf37fe699ef682.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1179, "output_tokens": 5, "elapsed_seconds": 3.3303565829992294, "metadata": {"question": "If a person walks in a straight line from the trampoline in the middle yard to the swing set in the left yard, how many property fence lines must they cross? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.4383}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 26, "image": "eeee1640-5005-460c-a3f3-12dfff951fc5_png.rf.f39545ddd7734560dd9a051e2c230c8c.jpg", "expected": "right side", "predicted": "right side", "correct": true, "input_tokens": 1163, "output_tokens": 6, "elapsed_seconds": 4.336585707962513, "metadata": {"question": "Based on the perspective of a driver sitting inside the van and looking forward, on which side of the vehicle is the textured concrete wall located? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.3823}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 27, "image": "8a9b0190-2516-4613-a33c-114cf5eb8993_png.rf.923b9627464a61d6941c095f16b9c069.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1161, "output_tokens": 5, "elapsed_seconds": 3.4388214589562267, "metadata": {"question": "If every visible wrapped burger must be served with its own bag of fries, how many additional bags of fries are needed? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.505}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 28, "image": "2f5026b8-8dc1-4831-94a4-d9f1c102b0fd_png.rf.17d85e9f6c9abd757c801aa0d47f423e.jpg", "expected": "9", "predicted": "9", "correct": true, "input_tokens": 1148, "output_tokens": 5, "elapsed_seconds": 9.714212834020145, "metadata": {"question": "Counting from the start date of Steel Fabrication to the start date of Fit off on this schedule, how many days elapse in total? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.8409}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 29, "image": "f4155be5-83b2-4214-89e0-b21906a781bd_png.rf.f865f92d82e075d8770a8aa212800d2e.jpg", "expected": "48.50", "predicted": "48.50", "correct": true, "input_tokens": 1167, "output_tokens": 9, "elapsed_seconds": 3.4766180419828743, "metadata": {"question": "What is the actual total cost of all liquid beverages (Coke Zero, Pot Of Tea, Mochaccino, and Latte) listed on the receipt? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.5358}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 30, "image": "f4155be5-83b2-4214-89e0-b21906a781bd_png.rf.f865f92d82e075d8770a8aa212800d2e.jpg", "expected": "247.50", "predicted": "247.50", "correct": true, "input_tokens": 1158, "output_tokens": 10, "elapsed_seconds": 4.012996125034988, "metadata": {"question": "If the group had ordered only one Mochaccino instead of two, what would the new total bill be? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.074}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 31, "image": "c9b00dcb-e093-43d9-baf8-f1971ff328af_png.rf.41492638acc0aba933dc61f9c675d2c7.jpg", "expected": "22", "predicted": "22", "correct": true, "input_tokens": 1144, "output_tokens": 6, "elapsed_seconds": 2.661350916023366, "metadata": {"question": "If a patient takes one capsule per day from this pack, how many days of medication are remaining in the pack? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.7146}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 32, "image": "b4ac0ec8-9f7d-4769-ae70-3d0a959ca24b_png.rf.85ff21bb1ee3df65bbc402ec233ed80a.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1189, "output_tokens": 5, "elapsed_seconds": 2.84502970892936, "metadata": {"question": "If the green and blue rings on the right-hand board were swapped, how many ring positions on that board would still differ from the left-hand board? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8921}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 33, "image": "34d45dd0-c14f-4a0a-9ff1-031d92a49ca1_png.rf.85c2cfa50183c292a49aaa7c9b2f0064.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1191, "output_tokens": 5, "elapsed_seconds": 3.718146999948658, "metadata": {"question": "Based on the orientation of the stopped green SUV, on which side of the vehicle is the fallen motorcyclist lying from the perspective of a driver sitting inside looking forward? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.7679}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 34, "image": "403906f1-d101-4a15-b0b3-43f90df6b13e_png.rf.9db9421ec54b4a1bf4b5d2a3462836c6.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1182, "output_tokens": 5, "elapsed_seconds": 3.4049143749289215, "metadata": {"question": "From the perspective of the man standing and walking along the aisle, on which side is the passenger holding reading papers seated? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.4972}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 35, "image": "5a48fe25-9006-45d1-ac0c-fab115eb5d1a_png.rf.3951f54e9e9535809ab4efc645c98048.jpg", "expected": "1", "predicted": "3", "correct": false, "input_tokens": 1153, "output_tokens": 5, "elapsed_seconds": 7.93864466692321, "metadata": {"question": "Based on the stacking limit symbol printed on the boxes, what is the maximum number of additional identical boxes that can be safely stacked on top of the foreground box? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 8.0585}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 36, "image": "6711dc5a-8b63-441e-8fea-910b9298bde9_png.rf.7ed399c3d00da2923147fe6901bc90e0.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1160, "output_tokens": 5, "elapsed_seconds": 5.102706499979831, "metadata": {"question": "A worker wants to fill the crate's empty floor space with more punnets of the same size, laid flat in a single layer alongside the existing ones. How many additional punnets fit? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.1769}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 37, "image": "04a7e555-066a-4662-be7d-1fab1d0a89bb_png.rf.1c99b9faeb404517267846787ed66438.jpg", "expected": "decreased", "predicted": "decreased", "correct": true, "input_tokens": 1141, "output_tokens": 5, "elapsed_seconds": 3.1455442919395864, "metadata": {"question": "To move the shown pressure into the green band, should the system pressure be increased or decreased? Choose one: increased or decreased.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.2227}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 38, "image": "1710a83d-1506-464e-83bf-f015141f1c37_png.rf.bca4b5702f3d41d061d317ac2e0ea038.jpg", "expected": "10", "predicted": "10", "correct": true, "input_tokens": 1183, "output_tokens": 6, "elapsed_seconds": 2.383583333925344, "metadata": {"question": "If a patient can only attend appointments at or after 11:00 AM, how many of the displayed time slots across the entire week are available to them? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.3977}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 39, "image": "1f2fe1d2-a6a6-4e60-a8e9-5a44e686ea1f_png.rf.e04f0049aa2caa0571f54b741224339f.jpg", "expected": "0", "predicted": "0", "correct": true, "input_tokens": 1167, "output_tokens": 5, "elapsed_seconds": 3.0716930410126224, "metadata": {"question": "How many of the cans on the table are lying on their side rather than standing upright? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1446}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 40, "image": "986ae5b8-bac5-432c-9ab1-afa7c98c2ef6_png.rf.004ba60e063ba1ac27b397a96d9539ee.jpg", "expected": "ASML Hld", "predicted": "ASML Hld", "correct": true, "input_tokens": 1188, "output_tokens": 8, "elapsed_seconds": 2.972408541943878, "metadata": {"question": "Which of the following stocks listed under the letter 'A' has a 'Last' price that exceeds its listed 52-week High? Choose one: ASML Hld, ASV Inc s, ATI Tech, or ATMI Inc.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.9952}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 41, "image": "0de03edc-15c5-4782-a74b-7cedb1df477b_png.rf.25fbbbda8291953bf4362acd5ea98104.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1187, "output_tokens": 5, "elapsed_seconds": 2.1205751249799505, "metadata": {"question": "Based on the sequential numbering of the exercises, how many numbered problems between (1) and (14) are missing from this worksheet? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.1353}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 42, "image": "107aeb67-63af-49d6-874c-d2505fa3fa43_png.rf.dd08291695888d5c30c0c4d82e0d1f5c.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1148, "output_tokens": 5, "elapsed_seconds": 4.817262874916196, "metadata": {"question": "To open the left door of the container, what is the minimum number of vertical locking bars that must be disengaged across the entire container? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.9212}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 43, "image": "3798710d-6abc-41a9-a6fa-69b36af142fd_png.rf.7513f727ea31e7a4d75594a64c1cd041.jpg", "expected": "168", "predicted": "168", "correct": true, "input_tokens": 1191, "output_tokens": 7, "elapsed_seconds": 3.8106851669726893, "metadata": {"question": "According to the red digital display on the right, the current time is shown on the bottom line. If the train is scheduled to reach its destination at 09:35, how many minutes of travel time remain? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.8977}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 44, "image": "dce06136-2d24-422b-a3b6-e100c9a4bad1_png.rf.ac128576e826b2eca821e98b5f31f992.jpg", "expected": "Bihar", "predicted": "Bihar", "correct": true, "input_tokens": 1186, "output_tokens": 5, "elapsed_seconds": 2.8806587089784443, "metadata": {"question": "A quality inspector sees a pack whose printed batch number begins with the characters 'AB'. According to the information on this pack, in which Indian state was that pack manufactured? Choose one: Bihar, Haryana, Assam, or Punjab.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.93}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 45, "image": "de2bbe1d-be94-4d71-97d8-2c316733c49d_png.rf.3e37eee81410925ab9219df63ec1cca0.jpg", "expected": "10", "predicted": "10", "correct": true, "input_tokens": 1167, "output_tokens": 6, "elapsed_seconds": 2.84223554097116, "metadata": {"question": "If a person consumes exactly three packets per day, what is the maximum number of full days this box of packets will last? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8667}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 46, "image": "09c2792b-3755-4eee-828f-fa0c2567760f_png.rf.c5f2d9113af4bbc2882b49e0ae573966.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1206, "output_tokens": 5, "elapsed_seconds": 4.0787746659480035, "metadata": {"question": "To balance the shelves so that both have an equal number of books, how many books must be moved from the bottom shelf to the top shelf? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.1206}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 47, "image": "57ae8fef-d674-43e7-9cf4-e7aeddb9e311_png.rf.88bc8729d68c7e1a097ea61f60d08ffc.jpg", "expected": "400", "predicted": "400", "correct": true, "input_tokens": 1167, "output_tokens": 7, "elapsed_seconds": 4.347647583927028, "metadata": {"question": "What is the total value of all the banknotes shown in the image, in Malaysian Ringgit (RM)? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.4435}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 48, "image": "26584325-f95e-41e4-9f4b-99afc5ff078d_png.rf.9c541fbfbbd37f1e00d8f04f9ac40b45.jpg", "expected": "beetroot", "predicted": "beetroot", "correct": true, "input_tokens": 1151, "output_tokens": 6, "elapsed_seconds": 5.009087458951399, "metadata": {"question": "Based on the details of the planted vegetables, which specific vegetable was planted from a tray instead of 6-packs? Choose one: beetroot, celery, coriander, or marigold.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.0913}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 49, "image": "20b7a85e-989a-4fa8-b275-6a1d92d2118a_png.rf.3bcf6e487a9fb4eb1f3f3848b5465060.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1183, "output_tokens": 5, "elapsed_seconds": 4.436612125020474, "metadata": {"question": "If the white ball-handler shoots without moving his feet, how many points would a made basket be worth under standard basketball rules? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.4929}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 50, "image": "7a31b46f-531b-43e7-895b-4e25e049abb3_png.rf.119ce2ebe0cff7f16bc80422173c188a.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1139, "output_tokens": 5, "elapsed_seconds": 3.716086292057298, "metadata": {"question": "If only the visible rear door were replaced, would all of the visible scrape damage be eliminated? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.784}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 51, "image": "7a31b46f-531b-43e7-895b-4e25e049abb3_png.rf.119ce2ebe0cff7f16bc80422173c188a.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1139, "output_tokens": 5, "elapsed_seconds": 3.249554958078079, "metadata": {"question": "From the perspective of a driver seated inside and facing forward, which side is it? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.3173}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 52, "image": "82172a50-05ec-4f75-9b67-02d726a97981_png.rf.b6b418d86b460b5df29a48b3cf9bff9f.jpg", "expected": "yes", "predicted": "No", "correct": false, "input_tokens": 1146, "output_tokens": 5, "elapsed_seconds": 3.00894704204984, "metadata": {"question": "This car is driving toward the viewer's position, and this road follows right-hand traffic rules. Is the car currently keeping to its correct side of the road? Answer yes or no.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 3.0543}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 53, "image": "612c657e-0e9c-4b2b-a741-2d1b1158c172_png.rf.e46b67734667d8de639182c1c6b58968.jpg", "expected": "left hand", "predicted": "left hand", "correct": true, "input_tokens": 1146, "output_tokens": 6, "elapsed_seconds": 3.924093083012849, "metadata": {"question": "Based on the anatomical structure and the grip shown, which of the person's hands is holding the paper? Choose one: left hand or right hand.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.005}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 54, "image": "bc085807-a87c-42c4-85dc-07885733dac6_png.rf.86d16faa2e4e01ea9b2f076098eda3da.jpg", "expected": "2805.47", "predicted": "2805.47", "correct": true, "input_tokens": 1192, "output_tokens": 11, "elapsed_seconds": 2.2805140840355307, "metadata": {"question": "If the customer adds two more units of Product XYZ while the unit price and tax rate stay the same, what will the revised invoice total be? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.2897}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 55, "image": "4d261616-1f0b-4f51-8ebe-eaee7b84825e_png.rf.e8a48b995002e60e7809ef941602370f.jpg", "expected": "left side", "predicted": "left side", "correct": true, "input_tokens": 1162, "output_tokens": 6, "elapsed_seconds": 2.5553115410730243, "metadata": {"question": "From the perspective of a driver seated inside and facing forward, which side of the car contains the visible damage? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.571}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 56, "image": "7d7e098f-4a0d-4864-b2ea-d57988d4d061_png.rf.950712e3033a1d927b27752329326738.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1180, "output_tokens": 5, "elapsed_seconds": 4.7930994590278715, "metadata": {"question": "From the perspective of a driver inside the blue SUV at the bottom of the image looking forward, on which side of their vehicle is the yellow Mazda? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.9132}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 57, "image": "19f45907-d682-40cf-bb87-9133dc873871_png.rf.8d5ae1def0513a436febceba4ca296a6.jpg", "expected": "left hand", "predicted": "left hand", "correct": true, "input_tokens": 1195, "output_tokens": 6, "elapsed_seconds": 3.456240792060271, "metadata": {"question": "Based on the visible features and orientation of the hand pressing the button, which of the person's hands is being used? Choose one: left hand or right hand.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.4779}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 58, "image": "347cb08d-5018-4506-8ff7-6052b5215bee_png.rf.f2241527449eeba4edc25991a9428857.jpg", "expected": "19190.95", "predicted": "19190.95", "correct": true, "input_tokens": 1199, "output_tokens": 12, "elapsed_seconds": 2.5358489580685273, "metadata": {"question": "If the e-transfer withdrawal to 'budget AUTO glass' on July 15 had not occurred, what would the final balance be after the transaction on July 16? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.5639}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 59, "image": "6bdb57de-1206-40d4-a60a-1ac4c22a0468_png.rf.a9d75682ae8f6507d6225b4fa0e1d7f6.jpg", "expected": "right side", "predicted": "right side", "correct": true, "input_tokens": 1177, "output_tokens": 6, "elapsed_seconds": 3.4212695829337463, "metadata": {"question": "From the perspective of the driver sitting inside the vehicle looking forward, on which side of the dashboard is the plush toy located? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.4474}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 60, "image": "97a91186-1382-40c6-8e10-ca36e7a94269_png.rf.f9de5fd2b340b608eb21d6e7fc1d9949.jpg", "expected": "parallel", "predicted": "parallel", "correct": true, "input_tokens": 1186, "output_tokens": 5, "elapsed_seconds": 4.778593249968253, "metadata": {"question": "Consider the log currently held in the grapple above the pile. Is its long axis oriented parallel or perpendicular to the logs stacked in the pile? Choose one: parallel or perpendicular.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.7949}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 61, "image": "68b07f85-3cf2-4e70-af98-06ef0c9d2c58_png.rf.d63e64af870bba743f8c88c43567124d.jpg", "expected": "unloading", "predicted": "loading", "correct": false, "input_tokens": 1168, "output_tokens": 5, "elapsed_seconds": 3.737426040926948, "metadata": {"question": "Based on the worker's posture and direction of movement, is he loading the stack of red crates into the truck or unloading them from the truck? Choose one: loading or unloading.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 3.7853}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 62, "image": "db85c5c8-8aa2-4f36-93dd-7f73a9c7b9c0_png.rf.d13c340009833ccd6defe35016843595.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1186, "output_tokens": 5, "elapsed_seconds": 6.46415470901411, "metadata": {"question": "From the perspective of a driver sitting inside the car and looking forward, on which side of the vehicle is the 'SPORT' badge located? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.5152}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 63, "image": "2e1a4d87-f03c-4189-9406-7968664edda2_png.rf.7605c122843447cd3cbdda9bfc61fe25.jpg", "expected": "2700.00", "predicted": "2700.00", "correct": true, "input_tokens": 1192, "output_tokens": 11, "elapsed_seconds": 2.5218422920443118, "metadata": {"question": "If the same supplier shipped 100 additional cartons of head gear at the same average per-carton weight implied by this invoice, what would the new total gross weight be in kilograms? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.5662}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 64, "image": "2e15743f-6bc8-4cce-8ec0-66eea3a6ca2f_png.rf.dff2a916b2154426e2043eda4cd591dd.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1176, "output_tokens": 5, "elapsed_seconds": 9.702379958005622, "metadata": {"question": "How many vertical columns in the vending machine contain at least one Pepsi can? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.7415}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 65, "image": "3f655000-3416-4906-8785-f716a5195996_png.rf.43d1001a93452d12ad70e047d2c6ed7e.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1184, "output_tokens": 5, "elapsed_seconds": 5.164851584006101, "metadata": {"question": "If you want to prepare breakfast plates that each require exactly 2 eggs and half an apple, what is the maximum number of such plates you can complete using only the visible eggs and apples? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.2649}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 66, "image": "4b1a9f4a-6b60-4350-b603-55755b49eaa7_png.rf.1a82163a0fad58cd34885043f4c4eb55.jpg", "expected": "15", "predicted": "15", "correct": true, "input_tokens": 1174, "output_tokens": 6, "elapsed_seconds": 3.414675374981016, "metadata": {"question": "At V_DS = 10 V, what is the approximate increase in drain current when V_GS rises from 6 V to 7 V? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.4367}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 67, "image": "0b0da260-9ab1-48b3-a909-03dc21a83345_png.rf.be24612c532b032d65b0228f30386968.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1179, "output_tokens": 5, "elapsed_seconds": 4.165189333958551, "metadata": {"question": "If you need to retrieve the box sealed with blue tape, what is the minimum number of other boxes you must remove first so that it is completely unobstructed from above? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.2566}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 68, "image": "214d5a30-f38a-4509-bd53-1e3ea49f9c8b_png.rf.adb2216acfcf57012a8ae573e973f1ca.jpg", "expected": "11.80", "predicted": "11.80", "correct": true, "input_tokens": 1156, "output_tokens": 9, "elapsed_seconds": 4.582066040951759, "metadata": {"question": "What is the total amount of GST commission charges (NEFT-GST-COMMISSION) debited on September 15, 2025? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.6512}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 69, "image": "a605175c-be9c-4e9b-8f69-540e233aa5e8_png.rf.3f3d5135536b2e36c9325081fe4f36ee.jpg", "expected": "left side", "predicted": "left side", "correct": true, "input_tokens": 1202, "output_tokens": 6, "elapsed_seconds": 3.5066601660801098, "metadata": {"question": "Based on the position of the wheel and the wrapping of the bumper, which side of the vehicle (from the perspective of a driver sitting inside and looking forward) is damaged? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.5283}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 70, "image": "01d2cf72-1e3e-425b-8743-ef01ca46252d_png.rf.3f9dc60e26c06dbdc9181e5b067126a0.jpg", "expected": "46.2%", "predicted": "46.2%", "correct": true, "input_tokens": 1172, "output_tokens": 9, "elapsed_seconds": 11.113140875007957, "metadata": {"question": "Based on the nutritional information per 100g, what percentage of the total fat is saturated fat? Answer with a percentage rounded to one decimal place.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.1327}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 71, "image": "423751b4-264a-4fed-acd4-7432a257389d_png.rf.aca151f72457b1604c2dc4b92bce1c2e.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1182, "output_tokens": 5, "elapsed_seconds": 3.0820064999861643, "metadata": {"question": "Based on the technical drawing, what is the total tolerance range (the difference between the maximum and minimum allowable values) for the dimension associated with balloon 24? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.1127}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 72, "image": "86827a6f-9148-40bc-84eb-1f26a69fb426_png.rf.7a36b6597b39ee2cb27e013247477184.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1162, "output_tokens": 5, "elapsed_seconds": 4.4345305419992656, "metadata": {"question": "From the perspective of a driver sitting inside the white truck in the foreground and looking forward, on which side of their vehicle is the black SUV? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.4658}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 73, "image": "dfe78d58-fa15-49ac-8673-04b364aaf8f6_png.rf.343b9ddb4be588f14fa49047c656c256.jpg", "expected": "opposite side", "predicted": "opposite side", "correct": true, "input_tokens": 1197, "output_tokens": 6, "elapsed_seconds": 9.030551040894352, "metadata": {"question": "Based on the direction of the shadows cast on the dock, is the sun located on the same side of the ship as the dock, or on the opposite side of the ship? Choose one: same side, or opposite side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.0856}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 74, "image": "85119d73-c38d-44d4-80b9-f7cfc4848029_png.rf.6faf117b9b48a03e7226813130cb8c31.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1203, "output_tokens": 5, "elapsed_seconds": 3.8789731670403853, "metadata": {"question": "Treat each occupied compartment as one movable stack. What is the minimum number of whole stacks that must be moved so that no two adjacent occupied compartments contain the same color? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.9107}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 75, "image": "73825c5f-4954-4824-8572-64ed5602323c_png.rf.fac850718e77f19df27b7bf90d021ba7.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1146, "output_tokens": 5, "elapsed_seconds": 5.547663750010543, "metadata": {"question": "What is the minimum number of doors a person must pass through to travel from Bedroom 2 to Bedroom 4? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.5652}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 76, "image": "ea00a7d2-1d73-45a3-8950-7f911a746913_png.rf.6d8d4591e8c887c3d43e174e43cfd621.jpg", "expected": "24", "predicted": "24", "correct": true, "input_tokens": 1154, "output_tokens": 6, "elapsed_seconds": 13.406000124989077, "metadata": {"question": "Based on the 'Hired From' and 'Hired To' dates listed under Employment Data, for how many full years was the subject employed at SOLAR TRADE? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 13.4254}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 77, "image": "e8894dda-fd01-4e8f-b233-7aa1c6924174_png.rf.f8d49103c494c77bf0b4a1c79b12bd32.jpg", "expected": "145", "predicted": "145", "correct": true, "input_tokens": 1161, "output_tokens": 7, "elapsed_seconds": 4.419532999978401, "metadata": {"question": "What is the difference in grams between the target weight indicated in the product name and the actual net quantity of this muskmelon? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.4637}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 78, "image": "29f47b83-0092-4736-a8e7-b3ef23a92354_png.rf.fb2f7e6c321affb606a4919b6a7433ae.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1178, "output_tokens": 5, "elapsed_seconds": 9.906629999983124, "metadata": {"question": "Based on the handwritten dates at the top of the form, how many days elapse between the date the document was written and its effective date? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 9.9217}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 79, "image": "5cf55f37-8adb-4adb-9520-148340548028_png.rf.e1605fd47b5ae75ba9c34cdcde09e17c.jpg", "expected": "July 10, 2016", "predicted": "June 10, 2016", "correct": false, "input_tokens": 1204, "output_tokens": 14, "elapsed_seconds": 3.6740840829443187, "metadata": {"question": "According to the payment terms and the invoice date, when is payment due? Choose one: June 10, 2016; July 10, 2016; July 5, 2016; August 10, 2016.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 3.6883}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 80, "image": "dae8c81a-4de4-4ef4-9301-25ca1ba03574_png.rf.d6aaed535d1e3ed00116c2b44301deea.jpg", "expected": "away", "predicted": "toward", "correct": false, "input_tokens": 1196, "output_tokens": 5, "elapsed_seconds": 8.103132999967784, "metadata": {"question": "If a worker grabbed the yellow pallet jack's handle and pulled it straight in the direction the handle currently points, would the jack move generally toward the central packing table or away from it? Choose one: toward or away.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 8.1602}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 81, "image": "9056e25e-2e7e-4746-b766-49e5c6aa52df_png.rf.9e357fa580bcb749370734803ddf5655.jpg", "expected": "left side", "predicted": "left side", "correct": true, "input_tokens": 1181, "output_tokens": 6, "elapsed_seconds": 3.8858901660423726, "metadata": {"question": "Based on the door handle's position relative to the vertical seam and the wheel arch at the bottom, which side of the vehicle is shown (from the perspective of a passenger sitting inside and facing forward)? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.9397}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 82, "image": "47ad34a1-d784-48fd-bf0b-9814791703e3_png.rf.0d90c040409da9a682d9d7db5b14476f.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1162, "output_tokens": 5, "elapsed_seconds": 34.617808207985945, "metadata": {"question": "If the Mercedes moves exactly one lane to its left, would it enter the same lane currently occupied by the smaller black car ahead? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 34.6925}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 83, "image": "0f7a1b1b-b0f9-4dba-9659-0455701b7a3f_png.rf.28278968509f5982105a211e62ac44b1.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1141, "output_tokens": 5, "elapsed_seconds": 3.9303675839910284, "metadata": {"question": "Would improving only the attributes currently rated 4 be sufficient to make every listed attribute receive the highest rating? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.9484}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 84, "image": "0f7a1b1b-b0f9-4dba-9659-0455701b7a3f_png.rf.28278968509f5982105a211e62ac44b1.jpg", "expected": "4.5", "predicted": "4.5", "correct": true, "input_tokens": 1139, "output_tokens": 7, "elapsed_seconds": 6.220403957995586, "metadata": {"question": "What is the average score of the attributes associated with PO11? Answer with a number rounded to one decimal place.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.2343}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 85, "image": "be797fcf-056b-44b2-a1da-b667c3185959_png.rf.29cfb688a5b86d169cb8732bb04f0f72.jpg", "expected": "22", "predicted": "24", "correct": false, "input_tokens": 1166, "output_tokens": 6, "elapsed_seconds": 4.730862334021367, "metadata": {"question": "If the black tray in the foreground has a total capacity of 10 rows with 5 slots per row, how many more devices are needed to completely fill it? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 4.7867}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 86, "image": "861cb64d-800a-4635-999c-739199f8b473_png.rf.c6b83038f9d574bf6dccf2b1554017ec.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1170, "output_tokens": 5, "elapsed_seconds": 27.001689041033387, "metadata": {"question": "Based on the date of the letter and the details provided in the text, how many days are expected to elapse between the date the check was mailed and the date MDA is expected to receive it? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 27.0219}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 87, "image": "22c3fc7f-6563-4f41-8eac-8c7d425b5633_png.rf.2dd8b94855832744d13e2f1185950566.jpg", "expected": "18", "predicted": "18", "correct": true, "input_tokens": 1173, "output_tokens": 6, "elapsed_seconds": 39.596303374972194, "metadata": {"question": "Based on the manpower details table, what is the total number of normal hours (NOR) worked by all listed employees combined on this day? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 39.6289}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 88, "image": "e47241e5-70ca-420f-9c96-05b3095ff135_png.rf.7a32ff91ffc2f7aad43c713c84c3052b.jpg", "expected": "G003...80", "predicted": "G003...80", "correct": true, "input_tokens": 1227, "output_tokens": 11, "elapsed_seconds": 10.050480250036344, "metadata": {"question": "A designer needs a resistor with a resistance of 2.0 k\u03a9 and a tolerance of \u00b10.05%. Based on the specifications, what is the Global Model of the lightest resistor that meets these requirements? Choose one: G001...80, G002, G003...80, or G005.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.1012}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 89, "image": "1c9d39fb-7707-4058-8d39-5ef46b4d46bf_png.rf.3c3842ab73120c2d5d767bf08e3b9b44.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1186, "output_tokens": 5, "elapsed_seconds": 9.954733708058484, "metadata": {"question": "From the perspective of the driver seated inside the white pickup and facing its direction of travel, on which side of the truck is the pedestrian? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.0153}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 90, "image": "2d031b53-a61c-4de0-b98e-52b14a4c6fcc_png.rf.1abec44486981464bee69aff5fc4acdd.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1158, "output_tokens": 5, "elapsed_seconds": 4.531374208047055, "metadata": {"question": "Assuming each of the two pizzas on the warming station was originally cut into 6 equal slices, how many slices in total have been sold? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.5645}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 91, "image": "d06e0e70-1bed-4998-bcd4-bc8eccac71d3_png.rf.bd4e209d1eda6cadcb0362c0e61a56a0.jpg", "expected": "253730", "predicted": "253730", "correct": true, "input_tokens": 1183, "output_tokens": 10, "elapsed_seconds": 4.453858249937184, "metadata": {"question": "Using a rule of Medium priority before Low priority, then earliest Created Date to break a tie, which visible ticket should be handled next? Answer with ticket ID.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.4847}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 92, "image": "d06e0e70-1bed-4998-bcd4-bc8eccac71d3_png.rf.bd4e209d1eda6cadcb0362c0e61a56a0.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1182, "output_tokens": 5, "elapsed_seconds": 3.3331376659916714, "metadata": {"question": "What is the time difference in hours between the earliest and latest tickets created on Apr 6, 2026? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 3.3638}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 93, "image": "b3f197fe-81ad-4fc1-bd69-d3b01d48b2b8_png.rf.5abbc57e2abc00bdf8184ff41d45e10c.jpg", "expected": "right hand", "predicted": "right hand", "correct": true, "input_tokens": 1145, "output_tokens": 6, "elapsed_seconds": 20.031881082919426, "metadata": {"question": "Based on the position of the thumb and fingers, which hand is the operator using to hold the scanner? Choose one: left hand or right hand.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 20.1138}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 94, "image": "b3f197fe-81ad-4fc1-bd69-d3b01d48b2b8_png.rf.5abbc57e2abc00bdf8184ff41d45e10c.jpg", "expected": "up", "predicted": "up", "correct": true, "input_tokens": 1163, "output_tokens": 5, "elapsed_seconds": 4.8695776669774204, "metadata": {"question": "Keeping the scanner at its current tilt so the beam stays horizontal, in which direction should the worker shift the beam so it crosses a barcode's bars perpendicularly and can decode it? Choose one: up, down, left, or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.9495}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 95, "image": "0d8b9fdc-32fc-4324-9e81-414d7762982a_png.rf.10e3ab24f0cc229fc194f19150a9088a.jpg", "expected": "5", "predicted": "5", "correct": true, "input_tokens": 1167, "output_tokens": 5, "elapsed_seconds": 7.4561039169784635, "metadata": {"question": "Which room number becomes completely isolated from all other rooms if the sliding door SD is closed? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 7.4752}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 96, "image": "0d8b9fdc-32fc-4324-9e81-414d7762982a_png.rf.10e3ab24f0cc229fc194f19150a9088a.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1174, "output_tokens": 5, "elapsed_seconds": 5.222839417052455, "metadata": {"question": "What is the minimum number of doors a person must pass through to travel from BedRoom 2 to BathRoom 5? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.2426}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 97, "image": "56b1bbe0-a003-4ba6-8cb2-08dd2f74a08a_png.rf.48d53e8f7bf6d0dbcf9eb16889b0777a.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1177, "output_tokens": 5, "elapsed_seconds": 6.582730291993357, "metadata": {"question": "Based on the relative timestamps shown in the screenshot of the thread, how many hours after Benji Taylor's post did Paul Macgregor post his response? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.5967}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 98, "image": "c2dd6dca-767e-4fe1-8dfb-ead3a37507db_png.rf.96bbfed9aead2bbd919d3b4c1237287a.jpg", "expected": "1.3%", "predicted": "1.3%", "correct": true, "input_tokens": 1178, "output_tokens": 8, "elapsed_seconds": 15.000209250021726, "metadata": {"question": "Comparing the loading units and offloading units recorded on the note, what percentage of the loaded manganese ore fines was lost in transit? Answer with a percentage rounded to one decimal place.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 15.0437}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 99, "image": "c2dd6dca-767e-4fe1-8dfb-ead3a37507db_png.rf.96bbfed9aead2bbd919d3b4c1237287a.jpg", "expected": "520", "predicted": "520", "correct": true, "input_tokens": 1167, "output_tokens": 7, "elapsed_seconds": 10.803753458079882, "metadata": {"question": "What is the difference between the loading units and the offloading units recorded on this delivery note? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.8495}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 100, "image": "d8552ab5-9930-4bd4-a00c-0f4adbeb76e4_png.rf.fc1f316aa3e9348a20e81d0e619cfa66.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1183, "output_tokens": 5, "elapsed_seconds": 5.392452667001635, "metadata": {"question": "If this document is folded exactly in half by bringing the top edge down to meet the bottom edge, will the two punched holes on the left margin align to overlap each other? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.4064}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 101, "image": "42990fe8-872a-4d4e-a1f9-7926a990b803_png.rf.542a9bb854b1ddec7ea9b3c71f102c32.jpg", "expected": "13", "predicted": "13", "correct": true, "input_tokens": 1140, "output_tokens": 6, "elapsed_seconds": 5.00867541693151, "metadata": {"question": "What is the difference between the number of recorded heights that are at least 150 centimetres and those that are under 142 centimetres? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.0135}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 102, "image": "bcf2178d-166f-4ae9-a0ef-40c03e873d7b_png.rf.45781833e957384c1cc81ae703e548a8.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1187, "output_tokens": 5, "elapsed_seconds": 4.9292306249262765, "metadata": {"question": "Judging from the direction traffic travels on this roadway, which barrier are the two crashed SUVs resting against from the perspective of drivers on this road? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.9715}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 103, "image": "e8acc7bd-43d8-4902-8871-758a81216657_png.rf.3fdb3f122bcab387f522f1113b53a202.jpg", "expected": "yes", "predicted": "yes", "correct": true, "input_tokens": 1193, "output_tokens": 5, "elapsed_seconds": 11.272384833078831, "metadata": {"question": "A goaltender standing in the crease of the visible net faces up-ice toward the oncoming play. Are the majority of the green-jerseyed players currently on his left side? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 11.3287}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 104, "image": "c9dbd271-e8bd-4a4c-9d90-dcc53a4910f6_png.rf.7b116829f9e80042e6ff64cae0ce75bd.jpg", "expected": "18", "predicted": "18", "correct": true, "input_tokens": 1193, "output_tokens": 6, "elapsed_seconds": 5.663993833004497, "metadata": {"question": "Using standard chess piece values where a pawn is 1 point, a bishop or knight is 3 points, and a rook is 5 points, what is the total point value of the captured white pieces set aside on the right? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.719}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 105, "image": "4409ba1c-5b55-47e4-8fb3-ed245021d0bb_png.rf.274f7c4fb87e3efa82cd64b8840d0de7.jpg", "expected": "75.00", "predicted": "75.00", "correct": true, "input_tokens": 1151, "output_tokens": 9, "elapsed_seconds": 16.508924416964874, "metadata": {"question": "If the customer had decided to keep the Lipsy Bikini Bottoms instead of returning them, what would the total refunded amount be? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 16.5796}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 106, "image": "dc0f068d-8a08-4674-8415-973756621fea_png.rf.e7ad2a97bf4cfd59534ddd786e1bfa09.jpg", "expected": "3", "predicted": "3", "correct": false, "input_tokens": 1180, "output_tokens": 5, "elapsed_seconds": 3.5871656249510124, "metadata": {"question": "What is the difference between the number of times 'C' is marked and the number of times 'D' is marked on this sheet? Answer with a single integer.", "strict_correct": true, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 3.5928}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 107, "image": "fd40be2e-2c23-4d4f-9af8-bee299b30fb0_png.rf.d32862e3f7c08fa121abceaa35a724bf.jpg", "expected": "6", "predicted": "6", "correct": true, "input_tokens": 1142, "output_tokens": 5, "elapsed_seconds": 12.076003000023775, "metadata": {"question": "How many of the 9 columns in the vending machine contain at least one bottle with a green cap? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 12.1268}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 108, "image": "39e13a5d-7f3d-4cb3-b99e-5a31236bdb32_png.rf.ac7593ea805bf54030232955f3054140.jpg", "expected": "38", "predicted": "38", "correct": true, "input_tokens": 1155, "output_tokens": 6, "elapsed_seconds": 6.0238425000570714, "metadata": {"question": "If we want to fill the display cabinet so that every compartment contains exactly one car, how many additional cars must be added? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.0274}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 109, "image": "ed033e2a-4072-4930-98ed-35aa45aee1d9_png.rf.3b133b1ed5ad005654d6d55fde0e6a80.jpg", "expected": "right", "predicted": "right", "correct": true, "input_tokens": 1178, "output_tokens": 5, "elapsed_seconds": 18.28628708294127, "metadata": {"question": "From the perspective of a driver sitting inside the cab of the dump truck with the green tarp and looking forward, which side door of the cab is open? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 18.3585}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 110, "image": "25e6ed9c-2d37-4533-8021-977770aa97d1_png.rf.5e4c7a4776bb280dedd569d309846abd.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1182, "output_tokens": 5, "elapsed_seconds": 8.144702624995261, "metadata": {"question": "Without adding or removing any cylinders, can the load be rearranged so that all four horizontal rows contain exactly the same number of cylinders? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 2, "retries": 1, "total_seconds": 46.5352, "transient_errors": ["ReadError"]}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 111, "image": "17a88e1e-fb1c-46f0-8620-8f19854b8fff_png.rf.e4fb269a60ea85233a7bdd3d43ef4aa1.jpg", "expected": "right side", "predicted": "right side", "correct": true, "input_tokens": 1195, "output_tokens": 6, "elapsed_seconds": 8.77575758297462, "metadata": {"question": "Based on the relative positions of the wheel and the front fog light, which side of the vehicle (from the perspective of a driver sitting inside and looking forward) is damaged? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 3, "retries": 2, "total_seconds": 50.4939, "transient_errors": ["ReadError", "ReadError"]}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 112, "image": "3a1d4bd3-6db0-4cda-881d-e9ae4c194abb_png.rf.34d91902d10ee43e73241d5a9df8fa98.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1157, "output_tokens": 5, "elapsed_seconds": 55.91475616698153, "metadata": {"question": "From the perspective of an officer sitting in the driver's seat of this SUV and facing forward, on which side of the vehicle is the person in the hooded sweatshirt standing? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 56.0202}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 113, "image": "0c721c3c-19a5-4857-89af-7d480d1a8ad6_png.rf.d4d68898257830e57382ff91e2ca4912.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1185, "output_tokens": 5, "elapsed_seconds": 28.2977509170305, "metadata": {"question": "A patient must take medication only on odd-numbered days of the week (days 1, 3, 5, and 7), leaving even-numbered days (days 2, 4, and 6) empty. How many of the 28 trays are prepared exactly according to this schedule? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 28.5695}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 114, "image": "0c721c3c-19a5-4857-89af-7d480d1a8ad6_png.rf.d4d68898257830e57382ff91e2ca4912.jpg", "expected": "8", "predicted": "7", "correct": false, "input_tokens": 1154, "output_tokens": 5, "elapsed_seconds": 12.080525084049441, "metadata": {"question": "A patient must take medication every day of the week, with all seven days filled. How many of the 28 trays are prepared exactly according to this schedule? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 12.1588}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 115, "image": "fd7145ce-ff54-42eb-b555-006479012309_png.rf.b64dc2701743bae035f831b7e381d8a1.jpg", "expected": "4", "predicted": "4", "correct": true, "input_tokens": 1162, "output_tokens": 5, "elapsed_seconds": 16.506081750034355, "metadata": {"question": "Based on the handwritten entries in the rent table, how many of the listed periods have a base monthly rent of exactly $2500.00? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 16.5319}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 116, "image": "62bb473c-8343-402f-a809-8a36d42884ff_png.rf.979d16777be23bdc0037837ff45a8b29.jpg", "expected": "14", "predicted": "14", "correct": true, "input_tokens": 1196, "output_tokens": 6, "elapsed_seconds": 22.996353750000708, "metadata": {"question": "If a fully stocked column in this tray contains exactly 7 ice creams, how many additional ice creams are needed to fully stock all 7 columns (numbered 31 through 37)? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 23.0522}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 117, "image": "94bfcdd8-0a2b-4903-95da-34fea7e1899c_png.rf.73c78580b0e05542ed686abf5b77f46d.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1151, "output_tokens": 5, "elapsed_seconds": 20.247558249975555, "metadata": {"question": "Based on the printed date of birth and date of expiry, will the cardholder have already turned 40 years old by the time this card expires? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 20.3408}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 118, "image": "b8891395-36f3-42e5-a1d2-616a922e0771_png.rf.b7e3860f9d0d9ab3e7f7fd0a6742a738.jpg", "expected": "yes", "predicted": "No", "correct": false, "input_tokens": 1165, "output_tokens": 5, "elapsed_seconds": 31.725287041044794, "metadata": {"question": "Before the pharmacist can sweep the loose capsules on the tray surface into the transparent channel at the top, must the clear cover first be lifted open? Answer yes or no.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 31.8362}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 119, "image": "7315cbf8-64fb-436e-8446-d2f061545df7_png.rf.6f038540710afe5f888b22200ca39932.jpg", "expected": "1", "predicted": "0", "correct": false, "input_tokens": 1138, "output_tokens": 5, "elapsed_seconds": 37.485155417001806, "metadata": {"question": "What is the minimum number of additional dominoes needed so that all five visible tiles can be used in one valid matching chain? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 37.5575}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 120, "image": "7315cbf8-64fb-436e-8446-d2f061545df7_png.rf.6f038540710afe5f888b22200ca39932.jpg", "expected": "1", "predicted": "1", "correct": true, "input_tokens": 1146, "output_tokens": 5, "elapsed_seconds": 26.472658541984856, "metadata": {"question": "If no new dominoes may be added, what is the minimum number of visible tiles that must be left out to arrange all the others as one valid matching chain? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 26.5476}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 121, "image": "7315cbf8-64fb-436e-8446-d2f061545df7_png.rf.6f038540710afe5f888b22200ca39932.jpg", "expected": "8", "predicted": "8", "correct": true, "input_tokens": 1138, "output_tokens": 5, "elapsed_seconds": 24.567778249969706, "metadata": {"question": "What is the total number of dots (pips) across all the dominoes that have at least one completely blank half? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 24.6436}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 122, "image": "841a0a03-fb48-4b1b-8e75-8abef424a913_png.rf.f11c6efbf5e3b71b7477a83694d80fce.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1154, "output_tokens": 5, "elapsed_seconds": 10.047060832963325, "metadata": {"question": "If the container is carrying 28,000 kg of cargo, can an additional 900 kg shipment be loaded without exceeding the stated payload limit? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 10.1466}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 123, "image": "ddb36742-789d-4a6f-a256-5998c9acd5cd_png.rf.f0ede67f0e9f049e1f036fb52b97641d.jpg", "expected": "4.40", "predicted": "4.40", "correct": true, "input_tokens": 1127, "output_tokens": 8, "elapsed_seconds": 23.667961416067556, "metadata": {"question": "Based on the regular prices listed on the receipt, how much total money was saved on the discounted items compared to their regular prices? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 23.712}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 124, "image": "3cd889b7-4626-47fe-af90-b98b2d5ffdfc_png.rf.7515e2b89f3d7561f907f84154e00de5.jpg", "expected": "3921.09", "predicted": "3921.09", "correct": true, "input_tokens": 1195, "output_tokens": 11, "elapsed_seconds": 26.994282416068017, "metadata": {"question": "Among the seven individual items listed in the table on this page, what is the sum of the amounts for the items that expire in the year 2028? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 27.0634}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 125, "image": "3cd889b7-4626-47fe-af90-b98b2d5ffdfc_png.rf.7515e2b89f3d7561f907f84154e00de5.jpg", "expected": "15", "predicted": "15", "correct": true, "input_tokens": 1188, "output_tokens": 6, "elapsed_seconds": 20.526645708014257, "metadata": {"question": "Among the seven individual items listed in the table on this page, what is the total quantity of items that have a discount of 6.00%? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 20.5964}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 126, "image": "f035f306-754e-4ab9-bd14-80de6cb9353f_png.rf.463bdd12d569cb3ed06ddefa4f7c0544.jpg", "expected": "1", "predicted": "2", "correct": false, "input_tokens": 1141, "output_tokens": 5, "elapsed_seconds": 10.699343541986309, "metadata": {"question": "If you group all the visible beans into sets of three, how many beans will remain ungrouped? Answer with a single integer.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 10.7891}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 127, "image": "32beea2c-22a7-4032-9914-2b8af79a6ca6_png.rf.afa9d4a51e3264b766523b0b6c43118f.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1164, "output_tokens": 5, "elapsed_seconds": 17.48592899995856, "metadata": {"question": "Does the circled total score in red at the bottom-left corner equal the sum of all individual question scores marked in red on this page? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 17.5286}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 128, "image": "1b4e5426-d109-4398-8e45-ab1dc497980f_png.rf.da896199922990bcefe9fec6ce57cec6.jpg", "expected": "11", "predicted": "11", "correct": true, "input_tokens": 1190, "output_tokens": 6, "elapsed_seconds": 2.7740360419265926, "metadata": {"question": "If each correct red-circled response earns one point and the blue worked example is excluded, what is the student's score out of 12? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 2.8104}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 129, "image": "864cf752-35ed-44ca-9e73-a27ba19cecb3_png.rf.d9a6b6882d7d84ae1066efdb3590df46.jpg", "expected": "12", "predicted": "12", "correct": true, "input_tokens": 1182, "output_tokens": 6, "elapsed_seconds": 5.166910624946468, "metadata": {"question": "If the player currently holding the ball successfully shoots and scores from her current position, what will Washington's total score become? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 5.2229}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 130, "image": "bffbaa49-7832-430e-995d-4db0336f7444_png.rf.705666d967baf405ca5b8c91e2e291d1.jpg", "expected": "no", "predicted": "no", "correct": true, "input_tokens": 1167, "output_tokens": 5, "elapsed_seconds": 12.236167041934095, "metadata": {"question": "If three nuts are allocated to one mounting job, can five complete mounting jobs be supplied from the visible nuts? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 12.3123}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 131, "image": "3cc9dff1-0e00-4900-9013-00d7b1be6a09_png.rf.4fb05de3247bdec3e1119e997d8f465b.jpg", "expected": "4", "predicted": "2", "correct": false, "input_tokens": 1206, "output_tokens": 5, "elapsed_seconds": 6.714689290965907, "metadata": {"question": "Based on the runners' current positions relative to the finish line on the right, which lane contains the runner currently in second place? Answer with a single integer, counting lanes from top (Lane 1) to bottom (Lane 8).", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 6.7356}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 132, "image": "4963b4c1-9126-48bc-ac30-e28cf692d079_png.rf.b0fe0fbf8e74b310187bebdb4e04529c.jpg", "expected": "right side", "predicted": "right side", "correct": true, "input_tokens": 1190, "output_tokens": 6, "elapsed_seconds": 80.72997112502344, "metadata": {"question": "Based on the visible wheel and headlight positions, which front side of the vehicle has the scuffed fender from the driver's forward-facing perspective? Choose one: left side or right side.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 80.8707}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 133, "image": "6b1464af-2a20-4dc1-9b69-67b163aad58b_png.rf.5558871ebbc74585da7539ae1c82803b.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1158, "output_tokens": 5, "elapsed_seconds": 21.806495083030313, "metadata": {"question": "Identify the column in the seedling tray that contains the longest continuous vertical sequence of empty plugs (containing only soil with no sprouted seedlings). How many empty plugs are in this longest sequence? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 21.9234}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 134, "image": "6b1464af-2a20-4dc1-9b69-67b163aad58b_png.rf.5558871ebbc74585da7539ae1c82803b.jpg", "expected": "top half", "predicted": "top half", "correct": true, "input_tokens": 1163, "output_tokens": 6, "elapsed_seconds": 18.953022041008808, "metadata": {"question": "If the seedling tray is divided horizontally into a top half (rows 1 to 6) and a bottom half (rows 7 to 12), which half contains more empty plugs? Choose one: top half or bottom half.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 19.0716}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 135, "image": "dea1a5c6-1f2e-4b07-946a-898cd8732f5f_png.rf.2317c0f63fa82df7683229a1fb7f5cd0.jpg", "expected": "3", "predicted": "3", "correct": true, "input_tokens": 1135, "output_tokens": 5, "elapsed_seconds": 13.954412042046897, "metadata": {"question": "How many shelves in the vending machine are stocked exclusively with water bottles? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 14.0731}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 136, "image": "93bf4bd9-63d1-4a73-97c8-e0e904fd029c_png.rf.c1d6a7530844ca542169fdee4d809e3e.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1145, "output_tokens": 5, "elapsed_seconds": 25.818114083027467, "metadata": {"question": "If the pressure rises by 1 bar from the gauge's current reading, would the needle enter the red warning band? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 25.9215}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 137, "image": "47352e6f-33b7-4c16-a520-03c8afe4c357_png.rf.4232d80b4b83ee4ee01af34332beae25.jpg", "expected": "on top", "predicted": "on top", "correct": true, "input_tokens": 1176, "output_tokens": 6, "elapsed_seconds": 5.979410042054951, "metadata": {"question": "Between the two crossed straight pins with black heads, does the pin with its black head at the bottom-right lie on top of or underneath the other pin? Choose one: on top or underneath.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 6.0964}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 138, "image": "40a321ee-89d8-4846-a3cf-b01413e971a3_png.rf.fbb996228d647f5d917d28665d8698db.jpg", "expected": "lower right", "predicted": "lower right", "correct": true, "input_tokens": 1168, "output_tokens": 6, "elapsed_seconds": 19.805988041916862, "metadata": {"question": "Based on the long shadows cast by the cattle, from which direction in the image is the sunlight coming? Choose one: upper left, upper right, lower left, or lower right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 19.858}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 139, "image": "9c949507-b9b3-4a20-b76b-24512aedea5e_png.rf.450473e96e9282304c85265164cf0d78.jpg", "expected": "increase", "predicted": "increase", "correct": true, "input_tokens": 1145, "output_tokens": 5, "elapsed_seconds": 77.34610408300068, "metadata": {"question": "To move the indicated pressure into the green operating band using the smallest change, should the pressure be increased or decreased? Choose one: increase or decrease.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 77.468}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 140, "image": "e3685148-49ec-4ad2-9f50-8d9133ce35cd_png.rf.b2bbd5b99df26d40ae43a5cd2cf549c7.jpg", "expected": "no", "predicted": "Yes", "correct": false, "input_tokens": 1155, "output_tokens": 5, "elapsed_seconds": 55.3296517500421, "metadata": {"question": "If a customer has a budget of 30.00 \u20ac, do they have enough money to buy one box of Berocca Boost and one box of Berocca Energie? Answer yes or no.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 55.4483}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 141, "image": "d7a763ce-28eb-4366-9169-d68f30a452b5_png.rf.b74d57acbfc696374bd43af86dc6931d.jpg", "expected": "no", "predicted": "No", "correct": true, "input_tokens": 1159, "output_tokens": 5, "elapsed_seconds": 32.14897191594355, "metadata": {"question": "Can a person travel from the Chambre to the Cuisine without entering the Salon? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 32.2361}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 142, "image": "d7a763ce-28eb-4366-9169-d68f30a452b5_png.rf.b74d57acbfc696374bd43af86dc6931d.jpg", "expected": "2", "predicted": "2", "correct": true, "input_tokens": 1169, "output_tokens": 5, "elapsed_seconds": 35.91648387501482, "metadata": {"question": "Starting from outside the apartment, what is the minimum number of doors a person must pass through to enter the SDB? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 36.0052}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 143, "image": "c46b41e5-447a-47dd-8780-7877ae92faef_png.rf.baa63153d8d89462d240f65b8eda302b.jpg", "expected": "correct lane", "predicted": "oncoming lane", "correct": false, "input_tokens": 1182, "output_tokens": 7, "elapsed_seconds": 12.278951499960385, "metadata": {"question": "Based on standard United States road marking rules, is this vehicle driving in the correct lane or the oncoming lane? Choose one: correct lane or oncoming lane.", "strict_correct": false, "judge_correct": false, "attempts": 1, "retries": 0, "total_seconds": 12.3394}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 144, "image": "ac750e7d-de93-4813-828d-409d16bd176b_png.rf.6559b085ab129da83454776a9ff2f3c3.jpg", "expected": "20", "predicted": "20", "correct": true, "input_tokens": 1155, "output_tokens": 6, "elapsed_seconds": 4.9600685419281945, "metadata": {"question": "Based on the handwritten corrections, what is the difference between the original printed total number of events and the revised number of events? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 4.9825}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 145, "image": "76b25762-3b57-4158-9fab-945416165ada_png.rf.9990ab2a22469b04a599b81d43f7c09d.jpg", "expected": "118.00", "predicted": "118.00", "correct": true, "input_tokens": 1151, "output_tokens": 10, "elapsed_seconds": 29.513830041047186, "metadata": {"question": "If the ribeye and the Afri Hot Chilli sauce are paid for separately, how much remains for the rest of the bill? Answer with a number rounded to two decimal places.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 29.6401}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 146, "image": "d0b99ce8-8a3b-4d1d-98d4-b34137b19f08_png.rf.135586d63ba8944adf934e8d0cd9cc00.jpg", "expected": "1648", "predicted": "1648", "correct": true, "input_tokens": 1164, "output_tokens": 8, "elapsed_seconds": 84.70461941603571, "metadata": {"question": "What is the earliest year printed on any of the stamps in this sheet? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 84.8003}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 147, "image": "c91f10e7-1c18-434d-b9e6-2e570646da9d_png.rf.20b9e5afdcfab594a06be3928964180f.jpg", "expected": "yes", "predicted": "yes", "correct": true, "input_tokens": 1180, "output_tokens": 5, "elapsed_seconds": 35.74846362497192, "metadata": {"question": "If a driver without disability parking authorization wanted to use the space occupied by the dark sedan, would parking there be permitted? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 35.8048}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 148, "image": "8e2f7010-f314-4b13-badc-9a24ecdd1a45_png.rf.6aef955cc77c9959113ec1f1db73b0c3.jpg", "expected": "left", "predicted": "left", "correct": true, "input_tokens": 1151, "output_tokens": 5, "elapsed_seconds": 49.69244074996095, "metadata": {"question": "From the perspective of the truck driver seated in the cab and looking forward through the windshield, on which side is the large pyramid of blue drums? Choose one: left or right.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 49.7569}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 149, "image": "76d985c4-8ba2-4660-871b-939bba136896_png.rf.42cd356e987e94c1579c6ffb589f753c.jpg", "expected": "yes", "predicted": "Yes", "correct": true, "input_tokens": 1172, "output_tokens": 5, "elapsed_seconds": 15.975051542045549, "metadata": {"question": "If a qualifying shot must land in the 9-ring or closer to the center, has the target recorded at least five qualifying shots? Answer yes or no.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 16.0713}} +{"model": "gemini-4-argon", "effort": "low", "task": "reasoning", "timestamp": "20261012_224154", "index": 150, "image": "76d985c4-8ba2-4660-871b-939bba136896_png.rf.42cd356e987e94c1579c6ffb589f753c.jpg", "expected": "60", "predicted": "60", "correct": true, "input_tokens": 1163, "output_tokens": 6, "elapsed_seconds": 33.80118470895104, "metadata": {"question": "What is the total score of all shots that landed within the black region of the target? Answer with a single integer.", "strict_correct": true, "judge_correct": true, "attempts": 1, "retries": 0, "total_seconds": 33.8982}} diff --git a/results/text_gemini-4-argon-eap_high_20261013_072221.jsonl b/results/text_gemini-4-argon-eap_high_20261013_072221.jsonl deleted file mode 100644 index 1540375..0000000 --- a/results/text_gemini-4-argon-eap_high_20261013_072221.jsonl +++ /dev/null @@ -1,600 +0,0 @@ -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 0, "image": "image_96481105c361d717d717e944_jpg.rf.1b252eb18c4523a664f26ef16fdcf8f2.jpg", "expected": "{\"columns\":[\"Date\",\"T\u00b0 mini\",\"Horaire\",\"T\u00b0 maxi\",\"Horaire\",\"Pluie/ 24H\",\"Pluie/ mois\",\"Pluie/ ann\u00e9e\",\"Temps le matin\",\"Vent- Vitesse/Cap\"],\"rows\":[[\"vendredi 1 mars 2024\",\"2,6\",\"3:45\",\"9,6\",\"12:45\",\"16\",\"16\",\"223\",\"GRIS.\",\"10 AU 292\"],[\"samedi 2 mars 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Return only a valid JSON object with these fields:\\n\\n{\\n \\\"columns\\\": [\\n \\\"...\\\"\\n ],\\n \\\"rows\\\": [\\n [\\n \\\"...\\\"\\n ]\\n ]\\n}\\n\\nCopy all column headers left-to-right, joining multi-line headings with spaces and preserving duplicate headings. Return each dated row top-to-bottom with exactly one cell per column. Preserve written dates, decimal commas, units and abbreviations. Use the final uncrossed replacement; use null for blank or unreadable cells. Do not carry values forward, calculate totals or add margin notes outside the table.\\n\\nPreserve text as written, including units and punctuation. Join line breaks within a field with spaces. Do not infer missing information or translate. Include every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.\\n\\nUse uppercase for handwritten words, collapse spaces, and write h/H time separators as : without adding digits. Assign text crossing a column rule to the cell where the entry begins; retain separately started entries in their own cells. Keep printed headers as printed.\", \"task\": \"structured\"}", "sample_id": "5409045585f558eccfdbb296eafd81d38fe69fadf0e05d7b140023db919af996", "category": "structured", "subset": "cfea212a35269c79", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "1b358afbe512c58c8eda4518ba5fad852fe646e498c6fe1a9f3bbec6818d0e19", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the weather observation table from this image. Return only a valid JSON object with these fields:\n\n{\n \"columns\": [\n \"...\"\n ],\n \"rows\": [\n [\n \"...\"\n ]\n ]\n}\n\nCopy all column headers left-to-right, joining multi-line headings with spaces and preserving duplicate headings. Return each dated row top-to-bottom with exactly one cell per column. Preserve written dates, decimal commas, units and abbreviations. Use the final uncrossed replacement; use null for blank or unreadable cells. Do not carry values forward, calculate totals or add margin notes outside the table.\n\nPreserve text as written, including units and punctuation. Join line breaks within a field with spaces. Do not infer missing information or translate. Include every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.\n\nUse uppercase for handwritten words, collapse spaces, and write h/H time separators as : without adding digits. Assign text crossing a column rule to the cell where the entry begins; retain separately started entries in their own cells. Keep printed headers as printed.", "match_method": "structured", "score": 0.9452, "status": "ok", "format_compliant": true, "matched_fields": 586, "reference_fields": 620, "predicted_fields": 620, "non_null_field_accuracy": 0.9451612903225807, "object_exact_match": false, "attempts": 1, "retries": 0, "total_seconds": 153.7323}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 1, "image": "image_49e7e68f1766e2d9f2bc219a_jpg.rf.2e5fa1b725a561a4fec80f240b8af7bd.jpg", "expected": "[{\"bbox\":[283,20,365,54],\"text\":\"--anybody want to pay to buy this back?\"},{\"bbox\":[57,345,128,377],\"text\":\"Thweet Jethuth!\"},{\"bbox\":[69,410,196,468],\"text\":\"You guys ever think about looking behind you once in a while? Just, y'know, in case there's a friendly neighborhood Spider-Man following?\"},{\"bbox\":[359,402,443,441],\"text\":\"What have you guys done...? Did you lead him here?\"},{\"bbox\":[525,389,621,432],\"text\":\"I'd appreciate it if you didn't leave until I said what I came to say.\"},{\"bbox\":[499,569,535,588],\"text\":\"Ack!\"}]", "predicted": "[{\"box_2d\": [32, 443, 86, 569], \"text\": \"--anybody want to pay to buy this back?\"}, {\"box_2d\": [545, 90, 586, 198], \"text\": \"Thweet Jethuth!\"}, {\"box_2d\": [643, 110, 728, 305], \"text\": \"You guys ever think about looking behind you once in a while? Just, y'know, in case there's a friendly neighborhood Spider- Man following?\"}, {\"box_2d\": [625, 559, 685, 687], \"text\": \"What have you guys done...? Did you lead him here?\"}, {\"box_2d\": [610, 818, 668, 969], \"text\": \"I'd appreciate it if you didn't leave until I said what I came to say.\"}, {\"box_2d\": [889, 780, 914, 833], \"text\": \"Ack!\"}]", "correct": false, "input_tokens": 1321, "output_tokens": 1519, "elapsed_seconds": 15.624742667074315, "metadata": {"question": "{\"question\": \"Locate and transcribe all speech and thought bubbles in this comic image.\", \"specification\": \"Use one tight, axis-aligned bounding box around each bubble\u2019s body, excluding its tail. Keep separate bubbles in separate boxes.\\n\\n\\n\\nPreserve the text as printed, including capitalization and punctuation. Join line breaks within each bubble with spaces. Exclude captions, sound effects, and text outside bubbles. Do not infer missing characters or translate. Use null for a visible bubble whose text cannot be read. Do not include explanations or Markdown.\\n\\nReturn entries in the intended reading order. If no bubbles are visible, return [].\", \"task\": \"localization_recognition\"}", "sample_id": "e9a1851bf9e06dcedb1604e013fe62fdb5a4d0e1f58b613ed5020fd274ad5d3a", "category": "localization_recognition", "subset": "6174981f0649e07d", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "91d359b38a22ce1986f0e6f0e8cc7b158159fd61c419fb47e948ab7ef1c6e50e", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe all speech and thought bubbles in this comic image.\n\nUse one tight, axis-aligned bounding box around each bubble\u2019s body, excluding its tail. Keep separate bubbles in separate boxes.\n\n\n\nPreserve the text as printed, including capitalization and punctuation. Join line breaks within each bubble with spaces. Exclude captions, sound effects, and text outside bubbles. Do not infer missing characters or translate. Use null for a visible bubble whose text cannot be read. Do not include explanations or Markdown.\n\nReturn entries in the intended reading order. If no bubbles are visible, return [].\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 0.8333, "status": "ok", "format_compliant": true, "detection_f1": 1.0, "matched_regions": 5, "reference_regions": 6, "predicted_regions": 6, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 15.6472}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 2, "image": "image_49e7e68f1766e2d9f2bc219a_jpg.rf.2e5fa1b725a561a4fec80f240b8af7bd.jpg", "expected": "--anybody want to pay to buy this back?\nThweet Jethuth!\nYou guys ever think about looking behind you once in a while? Just, y'know, in case there's a friendly neighborhood Spider-Man following?\nWhat have you guys done...? Did you lead him here?\nI'd appreciate it if you didn't leave until I said what I came to say.\nAck!", "predicted": "--anybody want to pay to buy this back?\nThweet Jethuth!\nYou guys ever think about looking behind you once in a while? Just, y'know, in case there's a friendly neighborhood Spider- Man following?\nWhat have you guys done...? Did you lead him here?\nI'd appreciate it if you didn't leave until I said what I came to say.\nAck!", "correct": false, "input_tokens": 1191, "output_tokens": 1382, "elapsed_seconds": 16.028180875000544, "metadata": {"question": "{\"question\": \"Read the text inside the speech and thought bubbles in this comic image, following the intended reading order. Return each bubble\u2019s text on a separate line.\\n\\nPreserve the text as printed, including capitalization and punctuation. Join line breaks within each bubble with spaces. Exclude captions, sound effects, and text outside bubbles. Do not translate or explain.\", \"task\": \"transcription\"}", "sample_id": "874362dfe810edd494bad7473fc6b9b7e0d39f3d50a9e187c0fc4653250a3692", "category": "transcription", "subset": "a0b750b70bf54a22", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "91d359b38a22ce1986f0e6f0e8cc7b158159fd61c419fb47e948ab7ef1c6e50e", "text_protocol": "mixed-text-v2", "scoring_profile": "transcription", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the text inside the speech and thought bubbles in this comic image, following the intended reading order. Return each bubble\u2019s text on a separate line.\n\nPreserve the text as printed, including capitalization and punctuation. Join line breaks within each bubble with spaces. Exclude captions, sound effects, and text outside bubbles. Do not translate or explain.", "match_method": "transcription", "score": 0.9969, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 16.0509}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 3, "image": "image_02011b7f52ac2755f9ffe60b_jpg.rf.f68d961fc0a4133b01c621ec23a83618.jpg", "expected": "[{\"bbox\":[94,91,418,154],\"text\":\"RESTAURANT\"},{\"bbox\":[126,184,410,243],\"text\":\"VEFOUR\"}]", "predicted": "[{\"box_2d\": [242, 160, 429, 712], \"text\": \"RESTAURANT\"}, {\"box_2d\": [516, 213, 675, 699], \"text\": \"VEFOUR\"}]", "correct": true, "input_tokens": 1324, "output_tokens": 731, "elapsed_seconds": 8.204846333013847, "metadata": {"question": "{\"question\": \"Locate and transcribe all text on the signs in this image.\", \"specification\": \"Use one box per word or standalone number, including curved words in a single box. Exclude text outside the signs and purely graphical symbols. Return plain text, not LaTeX.\\n\\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\", \"task\": \"localization_recognition\"}", "sample_id": "54b1cfd39f894717cb3273821f8b2e0f28ffdcc68a3615a4cf1bbd6104685898", "category": "localization_recognition", "subset": "21363697af554f8e", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "d7d7706c39d8d3a1bedf8907be4efd01e0660510b56971b07e89bc0164792479", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe all text on the signs in this image.\n\nUse one box per word or standalone number, including curved words in a single box. Exclude text outside the signs and purely graphical symbols. Return plain text, not LaTeX.\n\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 1.0, "status": "ok", "format_compliant": true, "detection_f1": 1.0, "matched_regions": 2, "reference_regions": 2, "predicted_regions": 2, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 8.2142}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 4, "image": "image_fa385d94dfab6f377cd3d971_jpg.rf.f2e4016331f9fd2923f4c4d18fcd2435.jpg", "expected": "{\"grading_company\":\"PMG\",\"year\":\"1894\",\"denomination\":\"$5\",\"serial_number\":\"06245\",\"grade\":\"64\"}", "predicted": "{\n \"grading_company\": \"PMG\",\n \"year\": \"1894\",\n \"denomination\": \"$5\",\n \"serial_number\": \"06245\",\n \"grade\": \"64\"\n}", "correct": true, "input_tokens": 1330, "output_tokens": 538, "elapsed_seconds": 7.749100625049323, "metadata": {"question": "{\"question\": \"Extract the information printed on this graded banknote and its holder. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"grading_company\\\": null,\\n \\\"year\\\": null,\\n \\\"denomination\\\": null,\\n \\\"serial_number\\\": null,\\n \\\"grade\\\": null\\n}\\n\\nRead serial_number from the banknote and the other fields from the holder. Preserve serial letters, leading zeros and symbols, removing spaces. Return the numeric grade only (e.g., \u201c25 Very Fine\u201d \u2192 \u201c25\u201d).\\n\\nNormalize serial stars to * (e.g., \u201cD20005093\u2606\u201d \u2192 \u201cD20005093*\u201d); omit decorative end marks. Use explicit holder fields for year and denomination, excluding catalog codes. For multiple notes, use the uppermost.\\n\\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "d970469ff2954823513b7e48417bdfb5c880cb1f155c864b2ad6cd0ab063f597", "category": "structured", "subset": "e95781a757393405", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "3881b4304b34e74ddcf18fdbb4b126ca0519175bfcdfe522f682c92e58f25d20", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on this graded banknote and its holder. Return only a valid JSON object with these fields:\n\n{\n \"grading_company\": null,\n \"year\": null,\n \"denomination\": null,\n \"serial_number\": null,\n \"grade\": null\n}\n\nRead serial_number from the banknote and the other fields from the holder. Preserve serial letters, leading zeros and symbols, removing spaces. Return the numeric grade only (e.g., \u201c25 Very Fine\u201d \u2192 \u201c25\u201d).\n\nNormalize serial stars to * (e.g., \u201cD20005093\u2606\u201d \u2192 \u201cD20005093*\u201d); omit decorative end marks. Use explicit holder fields for year and denomination, excluding catalog codes. For multiple notes, use the uppermost.\n\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 5, "reference_fields": 5, "predicted_fields": 5, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 7.8042}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 5, "image": "image_a5532855766bd09712edc084_png_jpg.rf.132ec1e365c7b82acd5f2502b16ee5b3.jpg", "expected": "[{\"bbox\":[465,41,528,72],\"text\":\"V_{DD}\"},{\"bbox\":[373,88,391,106],\"text\":\"+\"},{\"bbox\":[242,112,258,129],\"text\":\"+\"},{\"bbox\":[348,131,418,162],\"text\":\"V_{GS3}\"},{\"bbox\":[173,138,234,169],\"text\":\"V_{Bat}\"},{\"bbox\":[737,142,755,160],\"text\":\"+\"},{\"bbox\":[601,172,758,205],\"text\":\"|V_{TP}|+0.1\\\\,\\\\mathrm{V}\"},{\"bbox\":[241,180,258,186],\"text\":\"-\"},{\"bbox\":[439,181,488,207],\"text\":\"M4\"},{\"bbox\":[539,182,588,208],\"text\":\"M5\"},{\"bbox\":[375,201,393,205],\"text\":\"-\"},{\"bbox\":[37,212,77,243],\"text\":\"v_{i1}\"},{\"bbox\":[303,219,335,246],\"text\":\"v_{1}\"},{\"bbox\":[139,220,157,238],\"text\":\"+\"},{\"bbox\":[681,234,699,238],\"text\":\"-\"},{\"bbox\":[768,241,816,268],\"text\":\"M2\"},{\"bbox\":[37,260,78,289],\"text\":\"v_{i2}\"},{\"bbox\":[139,274,157,278],\"text\":\"-\"},{\"bbox\":[422,294,472,321],\"text\":\"M3\"},{\"bbox\":[887,308,941,335],\"text\":\"v_{out}\"},{\"bbox\":[333,310,352,328],\"text\":\"+\"},{\"bbox\":[276,335,413,367],\"text\":\"V_{TN}+0.1\\\\,\\\\mathrm{V}\"},{\"bbox\":[751,372,802,400],\"text\":\"M1\"},{\"bbox\":[866,375,909,411],\"text\":\"C_{L}\"},{\"bbox\":[373,379,391,383],\"text\":\"-\"},{\"bbox\":[689,398,708,417],\"text\":\"+\"},{\"bbox\":[665,442,735,474],\"text\":\"V_{GS3}\"},{\"bbox\":[372,447,421,475],\"text\":\"M7\"},{\"bbox\":[598,447,649,475],\"text\":\"M6\"},{\"bbox\":[691,513,709,517],\"text\":\"-\"},{\"bbox\":[460,537,515,568],\"text\":\"V_{SS}\"}]", "predicted": "[\n {\"box_2d\": [68, 483, 120, 547], \"text\": \"V_{DD}\"},\n {\"box_2d\": [145, 386, 174, 405], \"text\": \"+\"},\n {\"box_2d\": [183, 250, 211, 267], \"text\": \"+\"},\n {\"box_2d\": [216, 363, 270, 432], \"text\": \"V_{GS3}\"},\n {\"box_2d\": [228, 181, 281, 241], \"text\": \"V_{\\\\text{Bat}}\"},\n {\"box_2d\": [233, 764, 263, 783], \"text\": \"+\"},\n {\"box_2d\": [286, 627, 339, 783], \"text\": \"|V_{TP}|+0.1\\\\text{ V}\"},\n {\"box_2d\": [298, 253, 307, 268], \"text\": \"-\"},\n {\"box_2d\": [298, 454, 340, 504], \"text\": \"M4\"},\n {\"box_2d\": [304, 560, 345, 608], \"text\": \"M5\"},\n {\"box_2d\": [334, 388, 340, 406], \"text\": \"-\"},\n {\"box_2d\": [356, 40, 392, 76], \"text\": \"v_{i1}\"},\n {\"box_2d\": [364, 142, 393, 161], \"text\": \"+\"},\n {\"box_2d\": [370, 314, 406, 341], \"text\": \"v_1\"},\n {\"box_2d\": [388, 706, 395, 725], \"text\": \"-\"},\n {\"box_2d\": [401, 796, 441, 845], \"text\": \"M2\"},\n {\"box_2d\": [441, 40, 479, 78], \"text\": \"v_{i2}\"},\n {\"box_2d\": [453, 143, 460, 161], \"text\": \"-\"},\n {\"box_2d\": [489, 439, 530, 486], \"text\": \"M3\"},\n {\"box_2d\": [510, 346, 541, 366], \"text\": \"+\"},\n {\"box_2d\": [512, 918, 550, 971], \"text\": \"v_{\\\\text{out}}\"},\n {\"box_2d\": [556, 285, 610, 427], \"text\": \"V_{TN}+0.1\\\\text{ V}\"},\n {\"box_2d\": [625, 899, 677, 940], \"text\": \"C_L\"},\n {\"box_2d\": [627, 385, 635, 403], \"text\": \"-\"},\n {\"box_2d\": [627, 787, 668, 834], \"text\": \"M1\"},\n {\"box_2d\": [661, 714, 692, 734], \"text\": \"+\"},\n {\"box_2d\": [731, 689, 785, 757], \"text\": \"V_{GS3}\"},\n {\"box_2d\": [741, 386, 784, 436], \"text\": \"M7\"},\n {\"box_2d\": [741, 623, 784, 673], \"text\": \"M6\"},\n {\"box_2d\": [850, 717, 856, 736], \"text\": \"-\"},\n {\"box_2d\": [891, 478, 945, 528], \"text\": \"V_{SS}\"}\n]", "correct": false, "input_tokens": 1344, "output_tokens": 4728, "elapsed_seconds": 35.316214208025485, "metadata": {"question": "{\"question\": \"Locate and transcribe circuit identifiers, values, signal labels and polarity markings.\", \"specification\": \"Exclude circuit symbols, wires, titles, panel labels and surrounding notes.\\n\\nUse one tight, axis-aligned bounding box per text line. Keep separate markings in separate boxes. Include rotated text.\\n\\n\\n\\nReturn an accurate LaTeX transcription without math delimiters. Preserve visible characters, capitalization, subscripts, superscripts, units and operators. Do not simplify, correct or infer missing content. Escape backslashes in JSON. Use null for unreadable text.\\n\\nReturn entries in top-to-bottom, then left-to-right order. If no relevant text is visible, return []. Do not include explanations or Markdown.\", \"task\": \"localization_recognition\"}", "sample_id": "8cd24b997cf0c13d75e58d0620849cbf98b6249155cf3f63dbf958539ec744b4", "category": "localization_recognition", "subset": "f4d1ab6dc03a4b85", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "36554ec91e932d1a9489a7a3e32eb23da9dc45cbd174edda7bf5a155807f0da7", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe circuit identifiers, values, signal labels and polarity markings.\n\nExclude circuit symbols, wires, titles, panel labels and surrounding notes.\n\nUse one tight, axis-aligned bounding box per text line. Keep separate markings in separate boxes. Include rotated text.\n\n\n\nReturn an accurate LaTeX transcription without math delimiters. Preserve visible characters, capitalization, subscripts, superscripts, units and operators. Do not simplify, correct or infer missing content. Escape backslashes in JSON. Use null for unreadable text.\n\nReturn entries in top-to-bottom, then left-to-right order. If no relevant text is visible, return []. Do not include explanations or Markdown.\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 0.7097, "status": "ok", "format_compliant": true, "detection_f1": 0.9032258064516129, "matched_regions": 22, "reference_regions": 31, "predicted_regions": 31, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 35.328}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 6, "image": "image_1e5278bceb409a96a8ee01f6_jpg.rf.6f735c2f1a0d21fb416d3f95581aa566.jpg", "expected": "CC2061378", "predicted": "CC2061378", "correct": true, "input_tokens": 1188, "output_tokens": 392, "elapsed_seconds": 5.779822290991433, "metadata": {"question": "{\"question\": \"Read the most prominent locomotive or carriage identification code in this image. Include its letter prefix and all digits. Remove spaces; preserve printed hyphens and other punctuation. Exclude route names, depot names and technical specifications. Return only the code, or null if unreadable. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "aa1851168dae8e3456db033f8677c2ea0bdbbf52391ffd56f14cb187805d0c21", "category": "single_string", "subset": "4a0ef4856867c9de", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "0110f4594b9350b3bcc58d6addaa054e31475c58b80f0ab78031d948a30e4091", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the most prominent locomotive or carriage identification code in this image. Include its letter prefix and all digits. Remove spaces; preserve printed hyphens and other punctuation. Exclude route names, depot names and technical specifications. Return only the code, or null if unreadable. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 5.8245}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 7, "image": "image_52ef7b9b0f87d217ab431c70_jpg.rf.6cb8c65663db74eb8fcf0227fddd4b82.jpg", "expected": "P 03102020\"},{\"bbox\":[123,66,194,74],\"text\":\"Better think twice,\"},{\"bbox\":[123,77,250,85],\"text\":\"Before this mistake spreads out,\"},{\"bbox\":[123,88,225,96],\"text\":\"Better learn from the past,\"},{\"bbox\":[123,99,266,107],\"text\":\"Before my mind gets clouded again,\"},{\"bbox\":[123,110,162,118],\"text\":\"Better get\"},{\"bbox\":[279,299,521,370],\"text\":\"AWAY\"},{\"bbox\":[494,557,514,565],\"text\":\"soon,\"},{\"bbox\":[380,568,515,576],\"text\":\"Before you can get into my head,\"},{\"bbox\":[445,578,516,587],\"text\":\"For the last time.\"}]", "predicted": "[{\"box_2d\": [71, 732, 82, 807], \"text\": \"> 03102020\"}, {\"box_2d\": [103, 192, 116, 304], \"text\": \"Better think twice,\"}, {\"box_2d\": [120, 192, 134, 394], \"text\": \"Before this mistake spreads out,\"}, {\"box_2d\": [137, 192, 151, 354], \"text\": \"Better learn from the past,\"}, {\"box_2d\": [154, 192, 168, 417], \"text\": \"Before my mind gets clouded again,\"}, {\"box_2d\": [171, 192, 185, 254], \"text\": \"Better get\"}, {\"box_2d\": [471, 434, 580, 815], \"text\": \"AWAY\"}, {\"box_2d\": [871, 767, 882, 804], \"text\": \"soon,\"}, {\"box_2d\": [886, 595, 900, 804], \"text\": \"Before you can get into my head,\"}, {\"box_2d\": [903, 698, 916, 803], \"text\": \"For the last time.\"}]", "correct": true, "input_tokens": 1327, "output_tokens": 1592, "elapsed_seconds": 15.331793874967843, "metadata": {"question": "{\"question\": \"Locate and transcribe visible text on the poster.\", \"specification\": \"Use one box per text line; keep separate words or letter groups on strongly curved paths in separate boxes. Include rotated text. Exclude decorative shapes, photographs and non-text graphics. Return plain text, not LaTeX.\\n\\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\", \"task\": \"localization_recognition\"}", "sample_id": "9f9bce5f7cd452eaf489fc5714087059ac9412c2d8b85a8d0cc2a1d0ac3cf429", "category": "localization_recognition", "subset": "a0ebbce28fa5095a", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "edf9e83bd0fc869660e47b9b78ba13e03e5172d3064dbe7145f072c53b5bf262", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe visible text on the poster.\n\nUse one box per text line; keep separate words or letter groups on strongly curved paths in separate boxes. Include rotated text. Exclude decorative shapes, photographs and non-text graphics. Return plain text, not LaTeX.\n\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 1.0, "status": "ok", "format_compliant": true, "detection_f1": 1.0, "matched_regions": 10, "reference_regions": 10, "predicted_regions": 10, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 15.3432}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 451, "image": "image_c1e22a86b1a4e7e27937d86d_jpg.rf.a942076043a764ebf7c99252106e01ff.jpg", "expected": "[{\"bbox\":[459,161,529,199],\"text\":\"All I'm asking for is a quick audience.\"},{\"bbox\":[202,222,255,248],\"text\":\"Guess not.\"},{\"bbox\":[334,230,406,263],\"text\":\"Look, all I'm saying is --\"},{\"bbox\":[46,560,97,586],\"text\":\"All right?\"},{\"bbox\":[359,482,433,516],\"text\":\"I knew no one was listening.\"}]", "predicted": "[{\"box_2d\": [252, 717, 306, 824], \"text\": \"All I'm asking for is a quick audience.\"}, {\"box_2d\": [349, 319, 383, 396], \"text\": \"Guess not.\"}, {\"box_2d\": [362, 523, 405, 629], \"text\": \"Look, all I'm saying is --\"}, {\"box_2d\": [877, 74, 911, 146], \"text\": \"All right?\"}, {\"box_2d\": [754, 563, 802, 676], \"text\": \"I knew no one was listening.\"}]", "correct": true, "input_tokens": 1321, "output_tokens": 934, "elapsed_seconds": 9.380749332951382, "metadata": {"question": "{\"question\": \"Locate and transcribe all speech and thought bubbles in this comic image.\", \"specification\": \"Use one tight, axis-aligned bounding box around each bubble\u2019s body, excluding its tail. Keep separate bubbles in separate boxes.\\n\\n\\n\\nPreserve the text as printed, including capitalization and punctuation. Join line breaks within each bubble with spaces. Exclude captions, sound effects, and text outside bubbles. Do not infer missing characters or translate. Use null for a visible bubble whose text cannot be read. Do not include explanations or Markdown.\\n\\nReturn entries in the intended reading order. If no bubbles are visible, return [].\", \"task\": \"localization_recognition\"}", "sample_id": "a7afa80034f593c4ef0d837c6735b215b4641d6da7e840d795dc6c4ca11d9a32", "category": "localization_recognition", "subset": "6174981f0649e07d", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "19954f8fd7efb921033c041f517efc07c039d4d1239cdb8605ca3a25f3653dee", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe all speech and thought bubbles in this comic image.\n\nUse one tight, axis-aligned bounding box around each bubble\u2019s body, excluding its tail. Keep separate bubbles in separate boxes.\n\n\n\nPreserve the text as printed, including capitalization and punctuation. Join line breaks within each bubble with spaces. Exclude captions, sound effects, and text outside bubbles. Do not infer missing characters or translate. Use null for a visible bubble whose text cannot be read. Do not include explanations or Markdown.\n\nReturn entries in the intended reading order. If no bubbles are visible, return [].\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 1.0, "status": "ok", "format_compliant": true, "detection_f1": 1.0, "matched_regions": 5, "reference_regions": 5, "predicted_regions": 5, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 9.4112}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 452, "image": "image_c1e22a86b1a4e7e27937d86d_jpg.rf.a942076043a764ebf7c99252106e01ff.jpg", "expected": "All I'm asking for is a quick audience.\nGuess not.\nLook, all I'm saying is --\nAll right?\nI knew no one was listening.", "predicted": "All I'm asking for is a quick audience.\nGuess not.\nLook, all I'm saying is --\nAll right?\nI knew no one was listening.", "correct": true, "input_tokens": 1191, "output_tokens": 448, "elapsed_seconds": 6.549724707962014, "metadata": {"question": "{\"question\": \"Read the text inside the speech and thought bubbles in this comic image, following the intended reading order. Return each bubble\u2019s text on a separate line.\\n\\nPreserve the text as printed, including capitalization and punctuation. Join line breaks within each bubble with spaces. Exclude captions, sound effects, and text outside bubbles. Do not translate or explain.\", \"task\": \"transcription\"}", "sample_id": "738d215f56e0e9f6ebe061b258310dfb9047af7230b577a1adfe6d7195ef7d56", "category": "transcription", "subset": "a0b750b70bf54a22", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "19954f8fd7efb921033c041f517efc07c039d4d1239cdb8605ca3a25f3653dee", "text_protocol": "mixed-text-v2", "scoring_profile": "transcription", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the text inside the speech and thought bubbles in this comic image, following the intended reading order. Return each bubble\u2019s text on a separate line.\n\nPreserve the text as printed, including capitalization and punctuation. Join line breaks within each bubble with spaces. Exclude captions, sound effects, and text outside bubbles. Do not translate or explain.", "match_method": "transcription", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 6.581}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 453, "image": "image_06c2d534570406820b59e398_jpg.rf.e2fc54227891cc153657f6b764cb533a.jpg", "expected": "250218", "predicted": "250218", "correct": true, "input_tokens": 1148, "output_tokens": 743, "elapsed_seconds": 9.692825083970092, "metadata": {"question": "{\"question\": \"Read the six-digit code engraved on the metal surface. Return only the code as a string of digits, preserving leading zeros. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "497c2adf3597acdd7a8caa14c03c4b77b1e49dad12da7d4b8d69740e600f1c1d", "category": "single_string", "subset": "f2a87f15a0d3eb96", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "a4968765361328a206185953c32ab20c35e3914832bfa58d704bd027a67f2328", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the six-digit code engraved on the metal surface. Return only the code as a string of digits, preserving leading zeros. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 9.7091}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 454, "image": "image_e806f52f2a24c47abdba596e_jpg.rf.41d66ddcf73bb2d1cbc620dbb9b629c4.jpg", "expected": "94.4", "predicted": "94.4", "correct": true, "input_tokens": 1131, "output_tokens": 668, "elapsed_seconds": 16.19573770801071, "metadata": {"question": "{\"question\": \"Read the main temperature value shown on the thermometer display. Return only the numeric reading, preserving the decimal point and trailing zeros. Exclude units and icons. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "b7c600d25df9d991091df08a191ffe2fa43227419d6cda8afa78138e12e240de", "category": "single_string", "subset": "86f51b3c3dae6d11", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "f919e3ec9e700f91cb0aff91022aa6967b1609af79f60d34612642605f2b2616", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the main temperature value shown on the thermometer display. Return only the numeric reading, preserving the decimal point and trailing zeros. Exclude units and icons. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 16.7159}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 455, "image": "image_464d6d93ca1b66c942fef9f6_jpg.rf.3dc5fd384fc4f7dcd267656dc7f858ad.jpg", "expected": "0.536", "predicted": "0.536", "correct": true, "input_tokens": 1167, "output_tokens": 934, "elapsed_seconds": 12.883348457980901, "metadata": {"question": "{\"question\": \"Read the weight shown on the digital scale in this image. Return only the numeric reading, preserving the decimal separator and any minus sign. Do not include units or explain.\", \"task\": \"single_string\"}", "sample_id": "727cdcc5a56d762a68829829b4431620da37be47e3e5361aab2a54941432a54e", "category": "single_string", "subset": "2230d8632391d9a6", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "0aa33d8daa3ffa6ef4f014b022b93aa5752f1eb4cf5fdb21108a5738f85d44fe", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the weight shown on the digital scale in this image. Return only the numeric reading, preserving the decimal separator and any minus sign. Do not include units or explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 12.9903}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 456, "image": "image_002cab1e857745fde7424bad_jpg.rf.f342575fb0f56aa4a54e6e643374798c.jpg", "expected": "{\"route_number\":\"36 (2-40)\",\"bus_number\":\"4-44094\",\"destination_sign\":\"\u0e2b\u0e21\u0e14\u0e23\u0e30\u0e22\u0e30 \u0e2b\u0e49\u0e27\u0e22\u0e02\u0e27\u0e32\u0e07\",\"license_plate\":\"12-5246\"}", "predicted": "{\n \"route_number\": \"36 (2-40)\",\n \"bus_number\": \"4-44094\",\n \"destination_sign\": \"\u0e2b\u0e21\u0e14\u0e23\u0e30\u0e22\u0e30 \u0e2b\u0e49\u0e27\u0e22\u0e02\u0e27\u0e32\u0e07\",\n \"license_plate\": \"12-5246\"\n}", "correct": true, "input_tokens": 1209, "output_tokens": 1425, "elapsed_seconds": 22.766632916987874, "metadata": {"question": "{\"question\": \"Extract the information printed on the main bus in this image. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"route_number\\\": null,\\n \\\"bus_number\\\": null,\\n \\\"destination_sign\\\": null,\\n \\\"license_plate\\\": null\\n}\\n\\nPreserve the text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "d10d34e96c8db48ed1a690d1f8176c22993da3029c4e33e27a60561cddd99f83", "category": "structured", "subset": "477b707cebbcd6df", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "3674743325dd3bfe4a9a537c3e59ddcba42809c0a4fad74ae397c1c1e11e6888", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on the main bus in this image. Return only a valid JSON object with these fields:\n\n{\n \"route_number\": null,\n \"bus_number\": null,\n \"destination_sign\": null,\n \"license_plate\": null\n}\n\nPreserve the text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 4, "reference_fields": 4, "predicted_fields": 4, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 23.2626}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 457, "image": "image_b9f7b953df00ce059f0e5928_jpg.rf.3a35d091c9cf16a7366cf37ff144c4c6.jpg", "expected": "[{\"bbox\":[2131,360,2218,452],\"text\":\"Q\"},{\"bbox\":[1994,501,2070,590],\"text\":\"H\"},{\"bbox\":[2172,504,2191,591],\"text\":\"I\"},{\"bbox\":[2292,535,2365,630],\"text\":\"S\"},{\"bbox\":[2283,685,2355,772],\"text\":\"T\"},{\"bbox\":[2287,826,2373,916],\"text\":\"O\"},{\"bbox\":[2141,956,2226,1046],\"text\":\"R\"},{\"bbox\":[1993,965,2079,1055],\"text\":\"O\"},{\"bbox\":[1831,968,1945,1059],\"text\":\"W\"},{\"bbox\":[2297,969,2375,1059],\"text\":\"N\"},{\"bbox\":[2311,1112,2380,1202],\"text\":\"E\"},{\"bbox\":[1853,1117,1940,1207],\"text\":\"A\"},{\"bbox\":[1564,1252,1635,1343],\"text\":\"B\"},{\"bbox\":[1704,1252,1790,1344],\"text\":\"A\"},{\"bbox\":[2013,1261,2092,1352],\"text\":\"D\"},{\"bbox\":[1871,1265,1931,1356],\"text\":\"L\"},{\"bbox\":[1569,1401,1642,1492],\"text\":\"U\"},{\"bbox\":[1860,1413,1934,1504],\"text\":\"T\"},{\"bbox\":[1276,1526,1329,1617],\"text\":\"J\"},{\"bbox\":[1411,1532,1497,1624],\"text\":\"O\"},{\"bbox\":[1565,1549,1648,1641],\"text\":\"Y\"},{\"bbox\":[1865,1560,1940,1652],\"text\":\"Z\"},{\"bbox\":[1260,1674,1346,1767],\"text\":\"A\"},{\"bbox\":[1571,1811,1643,1902],\"text\":\"T\"},{\"bbox\":[1422,1814,1495,1907],\"text\":\"U\"},{\"bbox\":[1264,1822,1351,1916],\"text\":\"G\"},{\"bbox\":[1270,1971,1343,2065],\"text\":\"U\"},{\"bbox\":[1262,2121,1349,2217],\"text\":\"A\"},{\"bbox\":[1724,2252,1790,2347],\"text\":\"F\"},{\"bbox\":[1571,2260,1642,2354],\"text\":\"E\"},{\"bbox\":[1446,2268,1468,2363],\"text\":\"I\"},{\"bbox\":[1261,2276,1346,2370],\"text\":\"R\"},{\"bbox\":[1107,2278,1195,2375],\"text\":\"G\"},{\"bbox\":[1753,2408,1776,2504],\"text\":\"I\"},{\"bbox\":[1892,2555,1967,2654],\"text\":\"E\"},{\"bbox\":[1730,2560,1817,2658],\"text\":\"V\"},{\"bbox\":[1580,2571,1669,2669],\"text\":\"O\"},{\"bbox\":[1428,2578,1509,2675],\"text\":\"D\"},{\"bbox\":[1749,2718,1825,2818],\"text\":\"E\"},{\"bbox\":[1442,2733,1517,2834],\"text\":\"E\"},{\"bbox\":[1449,2892,1525,2994],\"text\":\"E\"},{\"bbox\":[1468,3058,1549,3157],\"text\":\"D\"},{\"bbox\":[1313,3065,1396,3169],\"text\":\"N\"},{\"bbox\":[1154,3070,1245,3172],\"text\":\"A\"},{\"bbox\":[1003,3080,1081,3178],\"text\":\"H\"},{\"bbox\":[698,3095,779,3194],\"text\":\"K\"},{\"bbox\":[1010,3240,1086,3339],\"text\":\"U\"},{\"bbox\":[705,3257,778,3357],\"text\":\"E\"},{\"bbox\":[854,3404,945,3506],\"text\":\"O\"},{\"bbox\":[1019,3404,1096,3503],\"text\":\"T\"},{\"bbox\":[708,3422,772,3522],\"text\":\"L\"},{\"bbox\":[708,3584,784,3684],\"text\":\"P\"},{\"bbox\":[577,3589,600,3691],\"text\":\"I\"},{\"bbox\":[387,3606,471,3707],\"text\":\"I\"}]", "predicted": "[{\"box_2d\": [90, 704, 114, 732], \"text\": \"Q\"}, {\"box_2d\": [124, 659, 146, 683], \"text\": \"H\"}, {\"box_2d\": [127, 718, 148, 725], \"text\": \"I\"}, {\"box_2d\": [133, 758, 156, 782], \"text\": \"S\"}, {\"box_2d\": [170, 757, 192, 781], \"text\": \"T\"}, {\"box_2d\": [205, 758, 227, 786], \"text\": \"O\"}, {\"box_2d\": [240, 606, 263, 643], \"text\": \"W\"}, {\"box_2d\": [239, 661, 262, 689], \"text\": \"O\"}, {\"box_2d\": [237, 709, 259, 734], \"text\": \"R\"}, {\"box_2d\": [241, 761, 263, 785], \"text\": \"N\"}, {\"box_2d\": [277, 615, 299, 642], \"text\": \"A\"}, {\"box_2d\": [276, 764, 298, 786], \"text\": \"E\"}, {\"box_2d\": [310, 518, 333, 542], \"text\": \"B\"}, {\"box_2d\": [312, 565, 334, 592], \"text\": \"A\"}, {\"box_2d\": [313, 619, 336, 639], \"text\": \"L\"}, {\"box_2d\": [312, 667, 335, 691], \"text\": \"D\"}, {\"box_2d\": [347, 520, 369, 543], \"text\": \"U\"}, {\"box_2d\": [351, 616, 373, 640], \"text\": \"T\"}, {\"box_2d\": [379, 422, 401, 439], \"text\": \"J\"}, {\"box_2d\": [380, 469, 403, 497], \"text\": \"O\"}, {\"box_2d\": [384, 518, 406, 545], \"text\": \"Y\"}, {\"box_2d\": [386, 617, 409, 642], \"text\": \"Z\"}, {\"box_2d\": [415, 419, 438, 446], \"text\": \"A\"}, {\"box_2d\": [452, 419, 475, 446], \"text\": \"G\"}, {\"box_2d\": [451, 471, 473, 495], \"text\": \"U\"}, {\"box_2d\": [449, 519, 472, 545], \"text\": \"T\"}, {\"box_2d\": [489, 421, 512, 445], \"text\": \"U\"}, {\"box_2d\": [526, 419, 549, 447], \"text\": \"A\"}, {\"box_2d\": [565, 367, 588, 395], \"text\": \"G\"}, {\"box_2d\": [563, 418, 587, 445], \"text\": \"R\"}, {\"box_2d\": [562, 479, 585, 486], \"text\": \"I\"}, {\"box_2d\": [560, 519, 583, 542], \"text\": \"E\"}, {\"box_2d\": [558, 571, 581, 592], \"text\": \"F\"}, {\"box_2d\": [597, 579, 621, 587], \"text\": \"I\"}, {\"box_2d\": [640, 473, 663, 499], \"text\": \"D\"}, {\"box_2d\": [637, 522, 661, 552], \"text\": \"O\"}, {\"box_2d\": [634, 573, 658, 601], \"text\": \"V\"}, {\"box_2d\": [633, 627, 657, 650], \"text\": \"E\"}, {\"box_2d\": [678, 478, 702, 502], \"text\": \"E\"}, {\"box_2d\": [673, 579, 698, 603], \"text\": \"E\"}, {\"box_2d\": [717, 481, 742, 505], \"text\": \"E\"}, {\"box_2d\": [767, 233, 791, 259], \"text\": \"K\"}, {\"box_2d\": [763, 332, 787, 358], \"text\": \"H\"}, {\"box_2d\": [761, 381, 786, 411], \"text\": \"A\"}, {\"box_2d\": [759, 435, 784, 462], \"text\": \"N\"}, {\"box_2d\": [757, 486, 782, 512], \"text\": \"D\"}, {\"box_2d\": [807, 234, 831, 257], \"text\": \"E\"}, {\"box_2d\": [802, 335, 827, 360], \"text\": \"U\"}, {\"box_2d\": [846, 236, 872, 256], \"text\": \"L\"}, {\"box_2d\": [844, 282, 869, 312], \"text\": \"O\"}, {\"box_2d\": [843, 336, 869, 362], \"text\": \"T\"}, {\"box_2d\": [894, 130, 919, 156], \"text\": \"D\"}, {\"box_2d\": [891, 193, 916, 199], \"text\": \"I\"}, {\"box_2d\": [888, 234, 913, 259], \"text\": \"P\"}]", "correct": false, "input_tokens": 1301, "output_tokens": 4505, "elapsed_seconds": 41.90186054096557, "metadata": {"question": "{\"question\": \"Locate and transcribe the large letter on every visible letter tile.\", \"specification\": \"Use one tight box around each letter, not the tile boundary; keep adjacent tiles separate. Include rotated letters; exclude point values, blank tiles and background text. Return plain text, not LaTeX.\\n\\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\", \"task\": \"localization_recognition\"}", "sample_id": "3d274e441c7b2b2e611129fe1cd95355b1acf3bae32feb497b64f3041ba07287", "category": "localization_recognition", "subset": "c7e0eb346c8e2ba1", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "efc4f04d1cc35f0af6d499f4a953b41b0781389e36e07ddf0b5df3cf1e402d9b", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe the large letter on every visible letter tile.\n\nUse one tight box around each letter, not the tile boundary; keep adjacent tiles separate. Include rotated letters; exclude point values, blank tiles and background text. Return plain text, not LaTeX.\n\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 0.9815, "status": "ok", "format_compliant": true, "detection_f1": 1.0, "matched_regions": 53, "reference_regions": 54, "predicted_regions": 54, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 42.4409}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 458, "image": "image_b9f7b953df00ce059f0e5928_jpg.rf.3a35d091c9cf16a7366cf37ff144c4c6.jpg", "expected": "BALD\nBUY\nDEED\nDIP\nDOVE\nFIVE\nGRIEF\nGUT\nHAND\nHIS\nHUT\nJAGUAR\nJOY\nKELP\nLOT\nQI\nSTONE\nWALTZ\nWORN", "predicted": "BALD\nBUY\nDEED\nDIP\nDOVE\nFIVE\nGRIEF\nGUT\nHAND\nHIS\nHUT\nJAGUAR\nJOY\nKELP\nLOT\nQI\nSTONE\nWALTZ\nWORN", "correct": true, "input_tokens": 1172, "output_tokens": 2614, "elapsed_seconds": 31.461420250008814, "metadata": {"question": "{\"question\": \"Read all words formed by the letter tiles, including rotated words. Include only words valid in the Merriam-Webster Official Scrabble Players Dictionary. Return them in uppercase, one word per line, in alphabetical order. Preserve spelling and repeated words; do not correct or rearrange letters to make valid words. Ignore isolated letters and background text. Return only the words, without explanations or Markdown.\", \"task\": \"transcription\"}", "sample_id": "d9b2829c238283551444cb91e38be4d7e92ec1c2e93502cda9bdddb9f6051bee", "category": "transcription", "subset": "1b7d212231bfff95", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "efc4f04d1cc35f0af6d499f4a953b41b0781389e36e07ddf0b5df3cf1e402d9b", "text_protocol": "mixed-text-v2", "scoring_profile": "transcription", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read all words formed by the letter tiles, including rotated words. Include only words valid in the Merriam-Webster Official Scrabble Players Dictionary. Return them in uppercase, one word per line, in alphabetical order. Preserve spelling and repeated words; do not correct or rearrange letters to make valid words. Ignore isolated letters and background text. Return only the words, without explanations or Markdown.", "match_method": "transcription", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 32.0065}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 459, "image": "image_ca7c012223fa2db528f0601e_jpg.rf.a628686a40055fef160c02033f872604.jpg", "expected": "94.0", "predicted": "94.0", "correct": true, "input_tokens": 1131, "output_tokens": 224, "elapsed_seconds": 12.197870000032708, "metadata": {"question": "{\"question\": \"Read the main temperature value shown on the thermometer display. Return only the numeric reading, preserving the decimal point and trailing zeros. Exclude units and icons. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "d6f45ad8840cc25d421d7eb02b8b85c042e43e4230f56e57689e442a40a58926", "category": "single_string", "subset": "86f51b3c3dae6d11", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "f70e6e39ea4bd92651481bc504f069f966e1d251269f40dde63bd32af7b9857c", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the main temperature value shown on the thermometer display. Return only the numeric reading, preserving the decimal point and trailing zeros. Exclude units and icons. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 12.6944}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 460, "image": "image_7741fef515874e86dc6044f7_jpg.rf.af4823ea0b348beae0a23e896a1b24f7.jpg", "expected": "{\"grading\":{\"year\":\"1999\",\"set_name\":\"FIRST MOVIE PROMO\",\"grade\":\"8.5\",\"certification_number\":\"7820186\"},\"card\":{\"name\":\"Pikachu\",\"hp\":\"50\",\"evolves_from\":null,\"card_number\":\"4\",\"illustrator\":\"Ken Sugimori\"}}", "predicted": "{\n \"grading\": {\n \"year\": \"1999\",\n \"set_name\": \"POKEMON FIRST MOVIE PROMO\",\n \"grade\": \"8.5\",\n \"certification_number\": \"7820186\"\n },\n \"card\": {\n \"name\": \"Pikachu\",\n \"hp\": \"50\",\n \"evolves_from\": null,\n \"card_number\": \"4\",\n \"illustrator\": \"Ken Sugimori\"\n }\n}", "correct": false, "input_tokens": 1347, "output_tokens": 3967, "elapsed_seconds": 46.119487207964994, "metadata": {"question": "{\"question\": \"Extract the information printed on this SGC-graded trading card and its holder. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"grading\\\": {\\n \\\"year\\\": null,\\n \\\"set_name\\\": null,\\n \\\"grade\\\": null,\\n \\\"certification_number\\\": null\\n },\\n \\\"card\\\": {\\n \\\"name\\\": null,\\n \\\"hp\\\": null,\\n \\\"evolves_from\\\": null,\\n \\\"card_number\\\": null,\\n \\\"illustrator\\\": null\\n }\\n}\\n\\nRead grading fields from the holder and card fields from the card. Return the numeric grade only (e.g., \u201c8.5 NM/MT+\u201d \u2192 \u201c8.5\u201d). Exclude gameplay suffixes and level indicators from Pok\u00e9mon names (e.g., \u201cLatias ex\u201d \u2192 \u201cLatias\u201d). Return HP as digits only (e.g., \u201c120 HP\u201d \u2192 \u201c120\u201d).\\n\\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "03e8eea220d06cd2e6005fdb922bc3c3d6c2e85b93a23339e3d5be5002efc76a", "category": "structured", "subset": "6c56b14aa8dbe996", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "3a6785d1e3f3634b72d6e3e89a6c082ec0ddf09f659eafc3a84ad0ce7f13f877", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on this SGC-graded trading card and its holder. Return only a valid JSON object with these fields:\n\n{\n \"grading\": {\n \"year\": null,\n \"set_name\": null,\n \"grade\": null,\n \"certification_number\": null\n },\n \"card\": {\n \"name\": null,\n \"hp\": null,\n \"evolves_from\": null,\n \"card_number\": null,\n \"illustrator\": null\n }\n}\n\nRead grading fields from the holder and card fields from the card. Return the numeric grade only (e.g., \u201c8.5 NM/MT+\u201d \u2192 \u201c8.5\u201d). Exclude gameplay suffixes and level indicators from Pok\u00e9mon names (e.g., \u201cLatias ex\u201d \u2192 \u201cLatias\u201d). Return HP as digits only (e.g., \u201c120 HP\u201d \u2192 \u201c120\u201d).\n\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 0.8889, "status": "ok", "format_compliant": true, "matched_fields": 8, "reference_fields": 9, "predicted_fields": 9, "non_null_field_accuracy": 0.875, "object_exact_match": false, "attempts": 1, "retries": 0, "total_seconds": 46.2179}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 461, "image": "image_aa8330be2ef7aff42720bb2b_jpg.rf.e7f05fbfe6d12f3d827f0badc3287bd6.jpg", "expected": "KMP3-06615", "predicted": "KMP3-06615", "correct": true, "input_tokens": 1168, "output_tokens": 512, "elapsed_seconds": 8.62005870800931, "metadata": {"question": "{\"question\": \"Read the most prominent locomotive or carriage identification code in this image. Include its letter prefix and all digits. Remove spaces; preserve printed hyphens and other punctuation. Exclude route names, depot names and technical specifications. Return only the code, or null if unreadable. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "c5bbfc8d87d7a7f8e1a1e5a319668d54dbaf1b2ce85d1139f421b7f45c57f66c", "category": "single_string", "subset": "4a0ef4856867c9de", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "8e7d4394718a2d47ef105dc341413eff9e889a176b4a8bda59a8f9dcaaa11e25", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the most prominent locomotive or carriage identification code in this image. Include its letter prefix and all digits. Remove spaces; preserve printed hyphens and other punctuation. Exclude route names, depot names and technical specifications. Return only the code, or null if unreadable. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 8.6536}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 462, "image": "image_167bfd7cc4e0874503facd66_jpg.rf.63b0e341410cb7145d21742cf87806a3.jpg", "expected": "01882.2", "predicted": "01882", "correct": false, "input_tokens": 1135, "output_tokens": 2032, "elapsed_seconds": 31.95051654195413, "metadata": {"question": "{\"question\": \"Read the total mileage shown on the odometer in this image. Return only the numeric reading, preserving leading zeros and any decimal separator. Do not include the trip reading, units, or explain.\", \"task\": \"single_string\"}", "sample_id": "973b90c7f672126316a142c0846ca6b1006eb482f28ff889e474961c7a5254e6", "category": "single_string", "subset": "12ff5ae87687aff8", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "89ef0e5bb5b4276037fc3e535da3ce725bdaf36eb403c42627310588a64a2375", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the total mileage shown on the odometer in this image. Return only the numeric reading, preserving leading zeros and any decimal separator. Do not include the trip reading, units, or explain.", "match_method": "single_string", "score": 0.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 31.9805}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 463, "image": "image_44beab8525de5867c99a026b_jpg.rf.9ca5e13e2f95c5d2a30d0991ff1b19a7.jpg", "expected": "{\"heat_number\":\"A79336\",\"billet_id\":\"1033\"}", "predicted": "{\n \"heat_number\": \"A79336\",\n \"billet_id\": \"1033\"\n}", "correct": true, "input_tokens": 1249, "output_tokens": 351, "elapsed_seconds": 7.8875873340293765, "metadata": {"question": "{\"question\": \"Extract the information printed on the end of this metal billet. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"heat_number\\\": null,\\n \\\"billet_id\\\": null\\n}\\n\\nUse the letter-prefixed code for heat_number and the separate shorter numeric code for billet_id. Preserve leading zeros and omit spaces within codes.\\n\\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "dc6024c698487a7b114ac621ce62ce40a6d2b69616cfe4b7d60a2b6e3f09e200", "category": "structured", "subset": "84ce444ef86dc04d", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "75eb3909e732232d6aff5bd3bb97a9290f224325ed4ec4a4aae3624758fadb75", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on the end of this metal billet. Return only a valid JSON object with these fields:\n\n{\n \"heat_number\": null,\n \"billet_id\": null\n}\n\nUse the letter-prefixed code for heat_number and the separate shorter numeric code for billet_id. Preserve leading zeros and omit spaces within codes.\n\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 2, "reference_fields": 2, "predicted_fields": 2, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 7.8948}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 464, "image": "image_6116f045220860cba5fdcfe2_jpg.rf.e2a2960b4bc106e1a71323c11d5ddd5e.jpg", "expected": "{\"serving_size\":\"1 pudding cup (92g)\",\"servings_per_container\":\"4\",\"calories\":\"110\",\"total_fat\":{\"amount\":\"2.5g\",\"daily_value\":\"4%\"},\"saturated_fat\":{\"amount\":\"1.5g\",\"daily_value\":\"8%\"},\"trans_fat\":{\"amount\":\"0g\",\"daily_value\":null},\"cholesterol\":{\"amount\":\"0mg\",\"daily_value\":\"0%\"},\"sodium\":{\"amount\":\"125mg\",\"daily_value\":\"5%\"},\"total_carbohydrate\":{\"amount\":\"20g\",\"daily_value\":\"7%\"},\"dietary_fiber\":{\"amount\":\"less than 1g\",\"daily_value\":\"4%\"},\"total_sugars\":{\"amount\":\"13g\",\"daily_value\":null},\"protein\":{\"amount\":\"1g\",\"daily_value\":null},\"vitamin_a\":{\"amount\":null,\"daily_value\":\"0%\"},\"vitamin_c\":{\"amount\":null,\"daily_value\":\"0%\"},\"calcium\":{\"amount\":null,\"daily_value\":\"30%\"},\"iron\":{\"amount\":null,\"daily_value\":\"0%\"},\"potassium\":{\"amount\":\"65mg\",\"daily_value\":\"2%\"}}", "predicted": "{\n \"serving_size\": \"1 pudding cup (92g)\",\n \"servings_per_container\": \"4\",\n \"calories\": \"110\",\n \"total_fat\": {\"amount\": \"2.5g\", \"daily_value\": \"4%\"},\n \"saturated_fat\": {\"amount\": \"1.5g\", \"daily_value\": \"8%\"},\n \"trans_fat\": {\"amount\": \"0g\", \"daily_value\": null},\n \"cholesterol\": {\"amount\": \"0mg\", \"daily_value\": \"0%\"},\n \"sodium\": {\"amount\": \"125mg\", \"daily_value\": \"5%\"},\n \"total_carbohydrate\": {\"amount\": \"20g\", \"daily_value\": \"7%\"},\n \"dietary_fiber\": {\"amount\": \"less than 1g\", \"daily_value\": \"4%\"},\n \"total_sugars\": {\"amount\": \"13g\", \"daily_value\": null},\n \"protein\": {\"amount\": \"1g\", \"daily_value\": null},\n \"vitamin_a\": {\"amount\": null, \"daily_value\": \"0%\"},\n \"vitamin_c\": {\"amount\": null, \"daily_value\": \"0%\"},\n \"calcium\": {\"amount\": null, \"daily_value\": \"30%\"},\n \"iron\": {\"amount\": null, \"daily_value\": \"0%\"},\n \"potassium\": {\"amount\": \"65mg\", \"daily_value\": \"2%\"}\n}", "correct": true, "input_tokens": 1629, "output_tokens": 1867, "elapsed_seconds": 22.348922500037588, "metadata": {"question": "{\"question\": \"Extract the information printed in the main Nutrition Facts panel in this image. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"serving_size\\\": null,\\n \\\"servings_per_container\\\": null,\\n \\\"calories\\\": null,\\n \\\"total_fat\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"saturated_fat\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"trans_fat\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"cholesterol\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"sodium\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"total_carbohydrate\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"dietary_fiber\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"total_sugars\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"protein\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"vitamin_a\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"vitamin_c\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"calcium\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"iron\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"potassium\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null}\\n}\\n\\nUse per-serving values as packaged, not prepared or per-container values. Use Calories, not Calories from Fat. Map \u201cSugars\u201d to total_sugars.\\n\\nKeep nutrient amounts and daily-value percentages separate (e.g., \u201cCalcium 260 mg 20%\u201d \u2192 {\\\"amount\\\": \\\"260mg\\\", \\\"daily_value\\\": \\\"20%\\\"}). Preserve printed units and qualifiers; do not calculate or convert values.\\n\\nFormat serving_size as household measure followed by metric quantity in parentheses (e.g., \u201c2 pieces 30 g\u201d \u2192 \u201c2 pieces (30g)\u201d). If only one measure is printed, return it alone. Preserve additional serving-size details.\\n\\nRemove spaces between numbers and units or % signs. Preserve all other text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nInclude every key. Use strings for extracted values and null for missing or unreadable values, including individual amounts or percentages. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "e17f3018d685f42b68c692038e65c9a46b580801064e0637280ddf31a8e8528f", "category": "structured", "subset": "3d0c26ee8395584a", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "2c55c913f57dd122d586ed298b44c10c9e2f887d7420fc6b3c6947cbad966820", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed in the main Nutrition Facts panel in this image. Return only a valid JSON object with these fields:\n\n{\n \"serving_size\": null,\n \"servings_per_container\": null,\n \"calories\": null,\n \"total_fat\": {\"amount\": null, \"daily_value\": null},\n \"saturated_fat\": {\"amount\": null, \"daily_value\": null},\n \"trans_fat\": {\"amount\": null, \"daily_value\": null},\n \"cholesterol\": {\"amount\": null, \"daily_value\": null},\n \"sodium\": {\"amount\": null, \"daily_value\": null},\n \"total_carbohydrate\": {\"amount\": null, \"daily_value\": null},\n \"dietary_fiber\": {\"amount\": null, \"daily_value\": null},\n \"total_sugars\": {\"amount\": null, \"daily_value\": null},\n \"protein\": {\"amount\": null, \"daily_value\": null},\n \"vitamin_a\": {\"amount\": null, \"daily_value\": null},\n \"vitamin_c\": {\"amount\": null, \"daily_value\": null},\n \"calcium\": {\"amount\": null, \"daily_value\": null},\n \"iron\": {\"amount\": null, \"daily_value\": null},\n \"potassium\": {\"amount\": null, \"daily_value\": null}\n}\n\nUse per-serving values as packaged, not prepared or per-container values. Use Calories, not Calories from Fat. Map \u201cSugars\u201d to total_sugars.\n\nKeep nutrient amounts and daily-value percentages separate (e.g., \u201cCalcium 260 mg 20%\u201d \u2192 {\"amount\": \"260mg\", \"daily_value\": \"20%\"}). Preserve printed units and qualifiers; do not calculate or convert values.\n\nFormat serving_size as household measure followed by metric quantity in parentheses (e.g., \u201c2 pieces 30 g\u201d \u2192 \u201c2 pieces (30g)\u201d). If only one measure is printed, return it alone. Preserve additional serving-size details.\n\nRemove spaces between numbers and units or % signs. Preserve all other text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nInclude every key. Use strings for extracted values and null for missing or unreadable values, including individual amounts or percentages. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 31, "reference_fields": 31, "predicted_fields": 31, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 22.6516}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 465, "image": "image_6163e7fd90ec240467bb02b7_jpg.rf.45316b7e7b58792258be6a67ee0172ba.jpg", "expected": "{\"serving_size\":\"1/2 cup (120mL) condensed soup\",\"servings_per_container\":\"about 2.5\",\"calories\":\"60\",\"total_fat\":{\"amount\":\"2.5g\",\"daily_value\":\"4%\"},\"saturated_fat\":{\"amount\":\"0.5g\",\"daily_value\":\"3%\"},\"trans_fat\":{\"amount\":\"0g\",\"daily_value\":null},\"cholesterol\":{\"amount\":\"0mg\",\"daily_value\":\"0%\"},\"sodium\":{\"amount\":\"750mg\",\"daily_value\":\"31%\"},\"total_carbohydrate\":{\"amount\":\"9g\",\"daily_value\":\"3%\"},\"dietary_fiber\":{\"amount\":\"1g\",\"daily_value\":\"4%\"},\"total_sugars\":{\"amount\":\"0g\",\"daily_value\":null},\"protein\":{\"amount\":\"1g\",\"daily_value\":null},\"vitamin_a\":{\"amount\":null,\"daily_value\":\"0%\"},\"vitamin_c\":{\"amount\":null,\"daily_value\":\"0%\"},\"calcium\":{\"amount\":null,\"daily_value\":\"2%\"},\"iron\":{\"amount\":null,\"daily_value\":\"0%\"},\"potassium\":{\"amount\":\"60mg\",\"daily_value\":\"2%\"}}", "predicted": "{\n \"serving_size\": \"1/2 cup (120mL) condensed soup\",\n \"servings_per_container\": \"about 2.5\",\n \"calories\": \"60\",\n \"total_fat\": {\"amount\": \"2.5g\", \"daily_value\": \"4%\"},\n \"saturated_fat\": {\"amount\": \"0.5g\", \"daily_value\": \"3%\"},\n \"trans_fat\": {\"amount\": \"0g\", \"daily_value\": null},\n \"cholesterol\": {\"amount\": \"0mg\", \"daily_value\": \"0%\"},\n \"sodium\": {\"amount\": \"750mg\", \"daily_value\": \"31%\"},\n \"total_carbohydrate\": {\"amount\": \"9g\", \"daily_value\": \"3%\"},\n \"dietary_fiber\": {\"amount\": \"1g\", \"daily_value\": \"4%\"},\n \"total_sugars\": {\"amount\": \"0g\", \"daily_value\": null},\n \"protein\": {\"amount\": \"1g\", \"daily_value\": null},\n \"vitamin_a\": {\"amount\": null, \"daily_value\": \"0%\"},\n \"vitamin_c\": {\"amount\": null, \"daily_value\": \"0%\"},\n \"calcium\": {\"amount\": null, \"daily_value\": \"2%\"},\n \"iron\": {\"amount\": null, \"daily_value\": \"0%\"},\n \"potassium\": {\"amount\": \"60mg\", \"daily_value\": \"2%\"}\n}", "correct": true, "input_tokens": 1629, "output_tokens": 1863, "elapsed_seconds": 21.769545790972188, "metadata": {"question": "{\"question\": \"Extract the information printed in the main Nutrition Facts panel in this image. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"serving_size\\\": null,\\n \\\"servings_per_container\\\": null,\\n \\\"calories\\\": null,\\n \\\"total_fat\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"saturated_fat\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"trans_fat\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"cholesterol\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"sodium\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"total_carbohydrate\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"dietary_fiber\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"total_sugars\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"protein\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"vitamin_a\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"vitamin_c\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"calcium\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"iron\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"potassium\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null}\\n}\\n\\nUse per-serving values as packaged, not prepared or per-container values. Use Calories, not Calories from Fat. Map \u201cSugars\u201d to total_sugars.\\n\\nKeep nutrient amounts and daily-value percentages separate (e.g., \u201cCalcium 260 mg 20%\u201d \u2192 {\\\"amount\\\": \\\"260mg\\\", \\\"daily_value\\\": \\\"20%\\\"}). Preserve printed units and qualifiers; do not calculate or convert values.\\n\\nFormat serving_size as household measure followed by metric quantity in parentheses (e.g., \u201c2 pieces 30 g\u201d \u2192 \u201c2 pieces (30g)\u201d). If only one measure is printed, return it alone. Preserve additional serving-size details.\\n\\nRemove spaces between numbers and units or % signs. Preserve all other text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nInclude every key. Use strings for extracted values and null for missing or unreadable values, including individual amounts or percentages. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "34d4c159c57a73e073f10d3c6322aae44fe68228abcfa0d35e63a2fcef145fe4", "category": "structured", "subset": "3d0c26ee8395584a", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "ddb3d1f30f117a066764270d740f3d0b2df8e606198de18ea1a633753b2e1d38", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed in the main Nutrition Facts panel in this image. Return only a valid JSON object with these fields:\n\n{\n \"serving_size\": null,\n \"servings_per_container\": null,\n \"calories\": null,\n \"total_fat\": {\"amount\": null, \"daily_value\": null},\n \"saturated_fat\": {\"amount\": null, \"daily_value\": null},\n \"trans_fat\": {\"amount\": null, \"daily_value\": null},\n \"cholesterol\": {\"amount\": null, \"daily_value\": null},\n \"sodium\": {\"amount\": null, \"daily_value\": null},\n \"total_carbohydrate\": {\"amount\": null, \"daily_value\": null},\n \"dietary_fiber\": {\"amount\": null, \"daily_value\": null},\n \"total_sugars\": {\"amount\": null, \"daily_value\": null},\n \"protein\": {\"amount\": null, \"daily_value\": null},\n \"vitamin_a\": {\"amount\": null, \"daily_value\": null},\n \"vitamin_c\": {\"amount\": null, \"daily_value\": null},\n \"calcium\": {\"amount\": null, \"daily_value\": null},\n \"iron\": {\"amount\": null, \"daily_value\": null},\n \"potassium\": {\"amount\": null, \"daily_value\": null}\n}\n\nUse per-serving values as packaged, not prepared or per-container values. Use Calories, not Calories from Fat. Map \u201cSugars\u201d to total_sugars.\n\nKeep nutrient amounts and daily-value percentages separate (e.g., \u201cCalcium 260 mg 20%\u201d \u2192 {\"amount\": \"260mg\", \"daily_value\": \"20%\"}). Preserve printed units and qualifiers; do not calculate or convert values.\n\nFormat serving_size as household measure followed by metric quantity in parentheses (e.g., \u201c2 pieces 30 g\u201d \u2192 \u201c2 pieces (30g)\u201d). If only one measure is printed, return it alone. Preserve additional serving-size details.\n\nRemove spaces between numbers and units or % signs. Preserve all other text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nInclude every key. Use strings for extracted values and null for missing or unreadable values, including individual amounts or percentages. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 31, "reference_fields": 31, "predicted_fields": 31, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 22.267}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 466, "image": "image_e1f3e8f6c805bc52de7f9b11_jpg.rf.9a71427ac108914516a4b2b8c5087844.jpg", "expected": "{\"application_id\":\"1023654\",\"application_date\":\"7032029\",\"product_type\":\"Home Equity\",\"tenure_months\":\"012\",\"loan_amount\":\"50000000\",\"applicant_name\":\"MUKUL\",\"birth_date\":\"03052001\",\"current_address\":\"FLAT NO. 101 SRI GAJANANA NILAYA VAILAMYA LAYOUT\",\"current_city\":\"BENGALURU\",\"current_state\":\"KARNATAKA\",\"current_postal_code\":\"560035\",\"current_mobile\":\"9876543210\",\"pan_number\":\"FWPNO1234F\"}", "predicted": "{\n \"application_id\": \"1023654\",\n \"application_date\": \"7032029\",\n \"product_type\": \"Home Equity\",\n \"tenure_months\": \"012\",\n \"loan_amount\": \"50000000\",\n \"applicant_name\": \"MUKUL\",\n \"birth_date\": \"03052001\",\n \"current_address\": \"FLAT NO. 101 SRI GAJANANA NILAYA VAILAMYA LAYOUT\",\n \"current_city\": \"BENGALURU\",\n \"current_state\": \"KARNATAKA\",\n \"current_postal_code\": \"560035\",\n \"current_mobile\": \"9876543210\",\n \"pan_number\": \"FWPNO1234F\"\n}", "correct": true, "input_tokens": 1404, "output_tokens": 2170, "elapsed_seconds": 25.200317249982618, "metadata": {"question": "{\"question\": \"Extract the completed applicant and loan fields from this loan application. Return only a valid JSON object with this structure:\\n\\n{\\n \\\"application_id\\\": null,\\n \\\"application_date\\\": null,\\n \\\"product_type\\\": null,\\n \\\"tenure_months\\\": null,\\n \\\"loan_amount\\\": null,\\n \\\"applicant_name\\\": null,\\n \\\"birth_date\\\": null,\\n \\\"current_address\\\": null,\\n \\\"current_city\\\": null,\\n \\\"current_state\\\": null,\\n \\\"current_postal_code\\\": null,\\n \\\"current_mobile\\\": null,\\n \\\"pan_number\\\": null\\n}\\n\\nUse Application ID No., not Application Form No. Read the current address, not the permanent address. Remove spaces between character boxes in identifiers and numbers; retain word spaces in names and addresses. For product_type, copy the single checked option; use null if none or several are selected. Transcribe date-box contents as written without inventing separators, even if malformed. Keep leading zeros in numbers.\\n\\nPreserve spelling, capitalization and punctuation; join line breaks within a field with spaces. Do not infer, correct or translate. Ignore filler dashes in unused boxes. For current_address, include only Current Residence Address lines, excluding the separately labelled landmark, city, state and postal-code fields. Use strings for values and null for missing or unreadable fields. Include every key. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "109a8a02fd738cbf58c79f5399d5c849314b889e4c47fce23d8d068b99776ffc", "category": "structured", "subset": "320cb142e1839899", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "55f5cca67ffe947bdd9a3ab327ac31791ba72704d5ff92d1fcad40bab491edf5", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the completed applicant and loan fields from this loan application. Return only a valid JSON object with this structure:\n\n{\n \"application_id\": null,\n \"application_date\": null,\n \"product_type\": null,\n \"tenure_months\": null,\n \"loan_amount\": null,\n \"applicant_name\": null,\n \"birth_date\": null,\n \"current_address\": null,\n \"current_city\": null,\n \"current_state\": null,\n \"current_postal_code\": null,\n \"current_mobile\": null,\n \"pan_number\": null\n}\n\nUse Application ID No., not Application Form No. Read the current address, not the permanent address. Remove spaces between character boxes in identifiers and numbers; retain word spaces in names and addresses. For product_type, copy the single checked option; use null if none or several are selected. Transcribe date-box contents as written without inventing separators, even if malformed. Keep leading zeros in numbers.\n\nPreserve spelling, capitalization and punctuation; join line breaks within a field with spaces. Do not infer, correct or translate. Ignore filler dashes in unused boxes. For current_address, include only Current Residence Address lines, excluding the separately labelled landmark, city, state and postal-code fields. Use strings for values and null for missing or unreadable fields. Include every key. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 13, "reference_fields": 13, "predicted_fields": 13, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 25.3346}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 467, "image": "image_a55f806ce7be34a0734f8977_jpg.rf.54d448122ebd81b594d4bfb2bdf39118.jpg", "expected": "{\"grading\":{\"year\":\"1999\",\"set_name\":\"POKEMON BASE\",\"grade\":\"8\",\"certification_number\":\"1266635\"},\"card\":{\"name\":\"Charizard\",\"hp\":\"120\",\"evolves_from\":\"Charmeleon\",\"card_number\":\"4/102\",\"illustrator\":\"Mitsuhiro Arita\"}}", "predicted": "{\n \"grading\": {\n \"year\": \"1999\",\n \"set_name\": \"POKEMON BASE\",\n \"grade\": \"8\",\n \"certification_number\": \"1266635\"\n },\n \"card\": {\n \"name\": \"Charizard\",\n \"hp\": \"120\",\n \"evolves_from\": \"Charmeleon\",\n \"card_number\": \"4/102\",\n \"illustrator\": \"Mitsuhiro Arita\"\n }\n}", "correct": true, "input_tokens": 1364, "output_tokens": 590, "elapsed_seconds": 9.245374665944837, "metadata": {"question": "{\"question\": \"Extract the information printed on this SGC-graded trading card and its holder. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"grading\\\": {\\n \\\"year\\\": null,\\n \\\"set_name\\\": null,\\n \\\"grade\\\": null,\\n \\\"certification_number\\\": null\\n },\\n \\\"card\\\": {\\n \\\"name\\\": null,\\n \\\"hp\\\": null,\\n \\\"evolves_from\\\": null,\\n \\\"card_number\\\": null,\\n \\\"illustrator\\\": null\\n }\\n}\\n\\nRead grading fields from the holder and card fields from the card. Return the numeric grade only (e.g., \u201c8.5 NM/MT+\u201d \u2192 \u201c8.5\u201d). Exclude gameplay suffixes and level indicators from Pok\u00e9mon names (e.g., \u201cLatias ex\u201d \u2192 \u201cLatias\u201d). Return HP as digits only (e.g., \u201c120 HP\u201d \u2192 \u201c120\u201d).\\n\\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "94befa70ad6c19e91b34fb4d686ef890d993feae781f94033af7ef9a083a471e", "category": "structured", "subset": "6c56b14aa8dbe996", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "37f5482e28c203c529456d8d2f07e7462388cff9c099168a8c83533f30f20205", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on this SGC-graded trading card and its holder. Return only a valid JSON object with these fields:\n\n{\n \"grading\": {\n \"year\": null,\n \"set_name\": null,\n \"grade\": null,\n \"certification_number\": null\n },\n \"card\": {\n \"name\": null,\n \"hp\": null,\n \"evolves_from\": null,\n \"card_number\": null,\n \"illustrator\": null\n }\n}\n\nRead grading fields from the holder and card fields from the card. Return the numeric grade only (e.g., \u201c8.5 NM/MT+\u201d \u2192 \u201c8.5\u201d). Exclude gameplay suffixes and level indicators from Pok\u00e9mon names (e.g., \u201cLatias ex\u201d \u2192 \u201cLatias\u201d). Return HP as digits only (e.g., \u201c120 HP\u201d \u2192 \u201c120\u201d).\n\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 9, "reference_fields": 9, "predicted_fields": 9, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 9.3035}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 468, "image": "image_72a130eed08b66bb988ae8a6_jpg.rf.f318f905c227c2c99acd0e92d095819d.jpg", "expected": "250203", "predicted": "250203", "correct": true, "input_tokens": 1143, "output_tokens": 1325, "elapsed_seconds": 18.769353791023605, "metadata": {"question": "{\"question\": \"Read the six-digit code engraved on the metal surface. Return only the code as a string of digits, preserving leading zeros. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "fa07a196cc3a0d0e1e0d5477842421acf8abb9b117aa3e7a2928f42f7f6670f9", "category": "single_string", "subset": "f2a87f15a0d3eb96", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "151063d75e77cc4fc511ec3f8c1773d14f511ddaaeeea45f43cd8e287d17e1a2", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the six-digit code engraved on the metal surface. Return only the code as a string of digits, preserving leading zeros. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 18.7851}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 469, "image": "image_6cdb837298c334cd559f73d8_jpg.rf.6ac8f92bfe4df1fa3a13b446ebcce98a.jpg", "expected": "KA51MJ2778", "predicted": "KA51MJ2778", "correct": true, "input_tokens": 1196, "output_tokens": 185, "elapsed_seconds": 4.573034124914557, "metadata": {"question": "{\"question\": \"Read the registration number on the largest visible vehicle license plate. Return only the registration number, reading multiple lines from top to bottom, omitting spaces and preserving letters, digits, leading zeros and hyphens. Exclude country labels, vehicle branding and video overlays. Return null if the complete registration number is unreadable. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "5ebd4a2c4db8e915c553254f14ad81ec25c60c1064fd37b537db6266a14bbb05", "category": "single_string", "subset": "d883528f51470f78", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "4317443ace82ba361d9a54fa29dc76c6d141667175a3dd85bf8c08907c9fc67a", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the registration number on the largest visible vehicle license plate. Return only the registration number, reading multiple lines from top to bottom, omitting spaces and preserving letters, digits, leading zeros and hyphens. Exclude country labels, vehicle branding and video overlays. Return null if the complete registration number is unreadable. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 4.6189}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 470, "image": "image_795af7b3e264a152baa894ed_jpg.rf.b79f6782c37e0085034bfa1ff17758c1.jpg", "expected": "LC78327", "predicted": "LC78627", "correct": false, "input_tokens": 1135, "output_tokens": 1720, "elapsed_seconds": 25.587497249944136, "metadata": {"question": "{\"question\": \"Read the batch or lot code printed on the blister pack. Return only the code, preserving letters, digits and separators. Exclude manufacturing and expiration dates and all other text. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "fe1a012c890cbe1e28bcd6e2b370f1a2eb8bc5e582fde22d4a87cbf3b0020a28", "category": "single_string", "subset": "d62695ff7dd95e0d", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "74b47eb9b1cd4bc04c14e50931de6d77bdab3769360ce949f1f0a7179d352853", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the batch or lot code printed on the blister pack. Return only the code, preserving letters, digits and separators. Exclude manufacturing and expiration dates and all other text. Do not explain.", "match_method": "single_string", "score": 0.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 25.7124}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 471, "image": "image_9b6d87aaaa46cfbbe82fc5e3_png_jpg.rf.948fc36e7835a2b0df88f1e64df12be5.jpg", "expected": "Allasia Gabriele\n\nNumero Sei\nRoggia Massimo\n\nL'anno mille ottocento ottantotto add\u00ec otto del mese\ndi Marzo ed alle ore tre pomeridiane nella sala Comunale\ndi Varzo aperta al pubblico.\nIo sottoscritto Allasia Gabriele Sindaco ed ufficiale\ndello Stato Civile del Comune di Varzo, avendo ricevuto\ndal Signor Procuratore del Re di Domodossola la copia\nautentica dell'atto di nascita di Roggia Massimo\nper essere trascritta nei registri dello Stato Civile di\nquesto Comune a senso di Legge ho proceduto alla trascri-\nzione dell'atto suddetto che \u00e8 del tenore seguente.\nConfederazione Svizzera - Cantone di Vaud. Circonda-\nrio dello Stato Civile di Mollondins.\nEstratto dal registro delle nascite volume A foglio\ntrecento ottanta.", "predicted": "Allasia Gabriele\n\nNumero Sei\nRoggia Massimo\n\nL'anno mille ottocento ottantotto add\u00ec otto del mese\ndi Marzo ed alle ore tre pomeridiane nella sala Comunale\ndi Varzo aperta al pubblico.\nIo sottoscritto Allasia Gabriele Sindaco ed ufficiale\ndello Stato Civile del Comune di Varzo, avendo ricevuto\ndal Signor Procuratore del Re di Domodossola la copia\nautentica dell'atto di nascita di Roggia Massimo\nper essere trascritta nei registri dello Stato Civile di\nquesto Comune a senso di Legge ho proceduto alla trascri-\nzione dell'atto suddetto che \u00e8 del tenore seguente.\nConfederazione Svizzera - Cantone di Vaud. Circondario\ndello Stato Civile di Mollondins.\nEstratto dal registro delle nascite volume A foglio\ntrecento settanta.", "correct": false, "input_tokens": 1161, "output_tokens": 1281, "elapsed_seconds": 15.71964129107073, "metadata": {"question": "{\"question\": \"Transcribe all visible text in this document in reading order. Preserve the original language, spelling, capitalization, punctuation, and paragraph breaks. Omit blank ruling lines, decorative separators, and bleed-through; do not represent them with underscores or dashes. Return only the transcription, without editorial notes, translation, or explanation.\", \"task\": \"transcription\"}", "sample_id": "df33c67ee95f6d1b12ec36e1ecd34a4cc5508492d3b4971d9fb59cdcdb3ac51a", "category": "transcription", "subset": "87309538184438ef", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "b101cbaf47fc942effbce484b0346bfc52668cb0adb2a0c2e0ddef733e147ef3", "text_protocol": "mixed-text-v2", "scoring_profile": "transcription", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Transcribe all visible text in this document in reading order. Preserve the original language, spelling, capitalization, punctuation, and paragraph breaks. Omit blank ruling lines, decorative separators, and bleed-through; do not represent them with underscores or dashes. Return only the transcription, without editorial notes, translation, or explanation.", "match_method": "transcription", "score": 0.9931, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 15.7711}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 472, "image": "image_a05468b56b3cd6d18843dd8e_jpg.rf.0763519b4e8acdc31404c8be3a24da7e.jpg", "expected": "W1", "predicted": "W 1", "correct": false, "input_tokens": 1154, "output_tokens": 719, "elapsed_seconds": 13.649466292001307, "metadata": {"question": "{\"question\": \"Read the letters and numbers imprinted on the pill in this image. Return only the text, preserving capitalization and separating lines with a single space. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "3d13bef1a8314ec581211e89d944168381d5fee9fce9ff5ca0087755db2afc7f", "category": "single_string", "subset": "5c725e357739b9ce", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "eaa7bffd8b20d53757071d074a116f05f2afcb9eb5458f407e6e1111c76c3662", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the letters and numbers imprinted on the pill in this image. Return only the text, preserving capitalization and separating lines with a single space. Do not explain.", "match_method": "single_string", "score": 0.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 13.6557}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 473, "image": "image_93abdc6227c8651afb6483bc_jpg.rf.11ff0335c90eedf9b1ee9b9aee7dc1eb.jpg", "expected": "{\"scientific_name\":\"Vinca pubescens d'Urv.\",\"collector\":\"J. Stone, M. Merello, M. Eristavi & N. Meniadze\",\"collection_number\":\"1760\",\"collection_date\":\"20 June 1999\",\"locality\":\"Batumi. Chorokhi River - on banks. Near Turkish border at confluence of Chorokhi and Matschakhela River. 41\u00b031'41\\\"N 041\u00b043'17\\\"E 50 m\"}", "predicted": "{\n \"scientific_name\": \"Vinca pubescens d'Urv.\",\n \"collector\": \"J. Stone, M. Merello, M. Eristavi & N. Meniadze\",\n \"collection_number\": \"1760\",\n \"collection_date\": \"20 June 1999\",\n \"locality\": \"Batumi. Chorokhi River - on banks. Near Turkish border at confluence of Chorokhi and Matschakhela River. 41\u00b031'41\\\"N 041\u00b043'17\\\"E 50 m\"\n}", "correct": true, "input_tokens": 1369, "output_tokens": 976, "elapsed_seconds": 11.936085375025868, "metadata": {"question": "{\"question\": \"Extract the information from the main specimen label in this herbarium image. Return only a valid JSON object with this structure:\\n\\n{\\n \\\"scientific_name\\\": null,\\n \\\"collector\\\": null,\\n \\\"collection_number\\\": null,\\n \\\"collection_date\\\": null,\\n \\\"locality\\\": null\\n}\\n\\nReturn one object for the main specimen label. Use only information on that label; exclude later identification slips, barcode/accession stickers and institutional stamps. Include the scientific name\u2019s printed rank and author. Use the collection date, not the identification date, and the collector\u2019s number, not a barcode or accession number. For locality, copy the locality, elevation and coordinates in reading order, including printed prefixes such as Alt.; join fragments with spaces and preserve punctuation. Exclude habitat notes. Use a geographic heading only when no locality is given, copying the place name without introductory wording. Do not add information from other labels. Use plain hyphens, apostrophes and double quotes, including coordinate primes.\\n\\nPreserve text as printed or handwritten, joining line breaks within a field with spaces. Do not infer missing information or translate. Include every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "2c352c4521e2349ecb758180bb5d8542bb785f4489e55e5bb85bf9be9e50c7c4", "category": "structured", "subset": "a46f70a1dc4301ad", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "1f6fc7600b260c43513e2c6456a84ce4b3559ab743632667afd17aab6aed8c12", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information from the main specimen label in this herbarium image. Return only a valid JSON object with this structure:\n\n{\n \"scientific_name\": null,\n \"collector\": null,\n \"collection_number\": null,\n \"collection_date\": null,\n \"locality\": null\n}\n\nReturn one object for the main specimen label. Use only information on that label; exclude later identification slips, barcode/accession stickers and institutional stamps. Include the scientific name\u2019s printed rank and author. Use the collection date, not the identification date, and the collector\u2019s number, not a barcode or accession number. For locality, copy the locality, elevation and coordinates in reading order, including printed prefixes such as Alt.; join fragments with spaces and preserve punctuation. Exclude habitat notes. Use a geographic heading only when no locality is given, copying the place name without introductory wording. Do not add information from other labels. Use plain hyphens, apostrophes and double quotes, including coordinate primes.\n\nPreserve text as printed or handwritten, joining line breaks within a field with spaces. Do not infer missing information or translate. Include every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 5, "reference_fields": 5, "predicted_fields": 5, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 11.9702}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 474, "image": "image_c7988adb96dceec5d1a3f9f2_jpg.rf.f4c81fd614d62ba2df6415e890213939.jpg", "expected": "[{\"bbox\":[145,56,215,64],\"text\":\"@peerlessposters\"},{\"bbox\":[443,56,498,64],\"text\":\"Sun/05/24/20\"},{\"bbox\":[150,558,219,579],\"text\":\"Scale\"},{\"bbox\":[342,555,490,565],\"text\":\"Scale can often energize the design\"},{\"bbox\":[342,567,462,576],\"text\":\"by changing what we expect.\"},{\"bbox\":[342,578,440,587],\"text\":\"Scale conveys meaning\"}]", "predicted": "[{\"box_2d\": [86, 224, 102, 337], \"text\": \"@peerlessposters\"}, {\"box_2d\": [86, 691, 100, 778], \"text\": \"Sun/05/24/20\"}, {\"box_2d\": [866, 533, 881, 766], \"text\": \"Scale can often energize the design\"}, {\"box_2d\": [870, 234, 902, 341], \"text\": \"Scale\"}, {\"box_2d\": [884, 533, 899, 725], \"text\": \"by changing what we expect.\"}, {\"box_2d\": [902, 533, 917, 688], \"text\": \"Scale conveys meaning\"}]", "correct": true, "input_tokens": 1327, "output_tokens": 969, "elapsed_seconds": 11.015484708943404, "metadata": {"question": "{\"question\": \"Locate and transcribe visible text on the poster.\", \"specification\": \"Use one box per text line; keep separate words or letter groups on strongly curved paths in separate boxes. Include rotated text. Exclude decorative shapes, photographs and non-text graphics. Return plain text, not LaTeX.\\n\\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\", \"task\": \"localization_recognition\"}", "sample_id": "056687c4782f1a619ec38bf8fb97feb2a9b1e11e7387b064383eb5511d84b9a2", "category": "localization_recognition", "subset": "a0ebbce28fa5095a", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "b80db71a7f3d971cfdbc51a34ed550d636eb44bd8377fddb92ec9f1d5b549d3b", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe visible text on the poster.\n\nUse one box per text line; keep separate words or letter groups on strongly curved paths in separate boxes. Include rotated text. Exclude decorative shapes, photographs and non-text graphics. Return plain text, not LaTeX.\n\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 1.0, "status": "ok", "format_compliant": true, "detection_f1": 1.0, "matched_regions": 6, "reference_regions": 6, "predicted_regions": 6, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 11.0378}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 475, "image": "image_02ae1d02a05e3e7ef7dbb146_jpg.rf.7530acb8ba1ce61ea94cd4ada1777257.jpg", "expected": "72392", "predicted": "72392", "correct": true, "input_tokens": 1134, "output_tokens": 939, "elapsed_seconds": 13.715381958056241, "metadata": {"question": "{\"question\": \"Read the electricity meter reading shown on the LCD. Return only the reading, preserving leading zeros and any decimal point. Exclude the register code, units and serial number. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "6a4e7d5c9bdd325d952809202927b5a59eaf90ba236a4d599b4aba0e11487cdf", "category": "single_string", "subset": "0749a0105d22d9d4", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "38e00ae59e42bc6b6aa920dd9327d0466cc1685c40a4811449c437c527307c39", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the electricity meter reading shown on the LCD. Return only the reading, preserving leading zeros and any decimal point. Exclude the register code, units and serial number. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 13.7607}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 476, "image": "image_1c9a93f06dd51f4634158916_jpg.rf.d4096c66338ea8da3e2ca1398975a0a4.jpg", "expected": "{\"serving_size\":\"1 cup (257g)\",\"servings_per_container\":\"About 2\",\"calories\":\"260\",\"total_fat\":{\"amount\":\"11g\",\"daily_value\":\"17%\"},\"saturated_fat\":{\"amount\":\"4g\",\"daily_value\":\"20%\"},\"trans_fat\":{\"amount\":\"0g\",\"daily_value\":null},\"cholesterol\":{\"amount\":\"20mg\",\"daily_value\":\"7%\"},\"sodium\":{\"amount\":\"750mg\",\"daily_value\":\"31%\"},\"total_carbohydrate\":{\"amount\":\"31g\",\"daily_value\":\"10%\"},\"dietary_fiber\":{\"amount\":\"3g\",\"daily_value\":\"12%\"},\"total_sugars\":{\"amount\":\"8g\",\"daily_value\":null},\"protein\":{\"amount\":\"9g\",\"daily_value\":\"12%\"},\"vitamin_a\":{\"amount\":null,\"daily_value\":\"6%\"},\"vitamin_c\":{\"amount\":null,\"daily_value\":\"0%\"},\"calcium\":{\"amount\":null,\"daily_value\":\"2%\"},\"iron\":{\"amount\":null,\"daily_value\":\"10%\"},\"potassium\":{\"amount\":\"560mg\",\"daily_value\":\"16%\"}}", "predicted": "{\n \"serving_size\": \"1 cup (257g)\",\n \"servings_per_container\": \"About 2\",\n \"calories\": \"260\",\n \"total_fat\": {\"amount\": \"11g\", \"daily_value\": \"17%\"},\n \"saturated_fat\": {\"amount\": \"4g\", \"daily_value\": \"20%\"},\n \"trans_fat\": {\"amount\": \"0g\", \"daily_value\": null},\n \"cholesterol\": {\"amount\": \"20mg\", \"daily_value\": \"7%\"},\n \"sodium\": {\"amount\": \"750mg\", \"daily_value\": \"31%\"},\n \"total_carbohydrate\": {\"amount\": \"31g\", \"daily_value\": \"10%\"},\n \"dietary_fiber\": {\"amount\": \"3g\", \"daily_value\": \"12%\"},\n \"total_sugars\": {\"amount\": \"8g\", \"daily_value\": null},\n \"protein\": {\"amount\": \"9g\", \"daily_value\": \"12%\"},\n \"vitamin_a\": {\"amount\": null, \"daily_value\": \"6%\"},\n \"vitamin_c\": {\"amount\": null, \"daily_value\": \"0%\"},\n \"calcium\": {\"amount\": null, \"daily_value\": \"2%\"},\n \"iron\": {\"amount\": null, \"daily_value\": \"10%\"},\n \"potassium\": {\"amount\": \"560mg\", \"daily_value\": \"16%\"}\n}", "correct": true, "input_tokens": 1629, "output_tokens": 1322, "elapsed_seconds": 14.730756375007331, "metadata": {"question": "{\"question\": \"Extract the information printed in the main Nutrition Facts panel in this image. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"serving_size\\\": null,\\n \\\"servings_per_container\\\": null,\\n \\\"calories\\\": null,\\n \\\"total_fat\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"saturated_fat\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"trans_fat\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"cholesterol\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"sodium\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"total_carbohydrate\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"dietary_fiber\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"total_sugars\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"protein\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"vitamin_a\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"vitamin_c\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"calcium\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"iron\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"potassium\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null}\\n}\\n\\nUse per-serving values as packaged, not prepared or per-container values. Use Calories, not Calories from Fat. Map \u201cSugars\u201d to total_sugars.\\n\\nKeep nutrient amounts and daily-value percentages separate (e.g., \u201cCalcium 260 mg 20%\u201d \u2192 {\\\"amount\\\": \\\"260mg\\\", \\\"daily_value\\\": \\\"20%\\\"}). Preserve printed units and qualifiers; do not calculate or convert values.\\n\\nFormat serving_size as household measure followed by metric quantity in parentheses (e.g., \u201c2 pieces 30 g\u201d \u2192 \u201c2 pieces (30g)\u201d). If only one measure is printed, return it alone. Preserve additional serving-size details.\\n\\nRemove spaces between numbers and units or % signs. Preserve all other text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nInclude every key. Use strings for extracted values and null for missing or unreadable values, including individual amounts or percentages. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "ffe8dbac7b61e4d50bf5a7624c3b6695f1accf83cac85f7929ea5c48db1383fc", "category": "structured", "subset": "3d0c26ee8395584a", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "1c9a93f06dd51f4634158916c4a0eef2b6ca1cb2a3b881cb2037e85b7cc7867b", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed in the main Nutrition Facts panel in this image. Return only a valid JSON object with these fields:\n\n{\n \"serving_size\": null,\n \"servings_per_container\": null,\n \"calories\": null,\n \"total_fat\": {\"amount\": null, \"daily_value\": null},\n \"saturated_fat\": {\"amount\": null, \"daily_value\": null},\n \"trans_fat\": {\"amount\": null, \"daily_value\": null},\n \"cholesterol\": {\"amount\": null, \"daily_value\": null},\n \"sodium\": {\"amount\": null, \"daily_value\": null},\n \"total_carbohydrate\": {\"amount\": null, \"daily_value\": null},\n \"dietary_fiber\": {\"amount\": null, \"daily_value\": null},\n \"total_sugars\": {\"amount\": null, \"daily_value\": null},\n \"protein\": {\"amount\": null, \"daily_value\": null},\n \"vitamin_a\": {\"amount\": null, \"daily_value\": null},\n \"vitamin_c\": {\"amount\": null, \"daily_value\": null},\n \"calcium\": {\"amount\": null, \"daily_value\": null},\n \"iron\": {\"amount\": null, \"daily_value\": null},\n \"potassium\": {\"amount\": null, \"daily_value\": null}\n}\n\nUse per-serving values as packaged, not prepared or per-container values. Use Calories, not Calories from Fat. Map \u201cSugars\u201d to total_sugars.\n\nKeep nutrient amounts and daily-value percentages separate (e.g., \u201cCalcium 260 mg 20%\u201d \u2192 {\"amount\": \"260mg\", \"daily_value\": \"20%\"}). Preserve printed units and qualifiers; do not calculate or convert values.\n\nFormat serving_size as household measure followed by metric quantity in parentheses (e.g., \u201c2 pieces 30 g\u201d \u2192 \u201c2 pieces (30g)\u201d). If only one measure is printed, return it alone. Preserve additional serving-size details.\n\nRemove spaces between numbers and units or % signs. Preserve all other text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nInclude every key. Use strings for extracted values and null for missing or unreadable values, including individual amounts or percentages. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 31, "reference_fields": 31, "predicted_fields": 31, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 14.9494}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 477, "image": "image_6f9f483906453c195db65aca_jpg.rf.e0c3b3cba42a736a6a31e79c1a420368.jpg", "expected": "241218", "predicted": "241218", "correct": true, "input_tokens": 1143, "output_tokens": 728, "elapsed_seconds": 50.826704667066224, "metadata": {"question": "{\"question\": \"Read the six-digit code engraved on the metal surface. Return only the code as a string of digits, preserving leading zeros. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "831f5f18ad684937c6e45c87cb54e935e21c5054fe40efccbf512940b2d82fed", "category": "single_string", "subset": "f2a87f15a0d3eb96", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "4878d53dde2f6cdd4260dec9b1613ac20348e6dc5071ebbb59161e3815ba070e", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the six-digit code engraved on the metal surface. Return only the code as a string of digits, preserving leading zeros. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 50.8415}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 478, "image": "image_b4d360af746feeeb8f5b4cdd_jpg.rf.c5a1d5bb7969afc8e6a6264a86ddf605.jpg", "expected": "6:59", "predicted": "6:59", "correct": true, "input_tokens": 1193, "output_tokens": 1482, "elapsed_seconds": 44.283553250017576, "metadata": {"question": "{\"question\": \"Read the illuminated value in the largest numeric readout on this treadmill display. If equally large readouts are present, choose the topmost, then leftmost. Preserve leading zeros and visible decimal points or colons between digits. Ignore unlit segments, isolated indicator lights and smaller secondary readouts. Do not infer units or reformat the value as time. Return only the displayed value, or null if incomplete or unreadable. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "8edca63f8d2c24e2e2c3f15d63ec6a142fe2908422e73db26405255d8ab8b8aa", "category": "single_string", "subset": "6320a2ab21674c00", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "829b510e1dc1529c9f98059f52117e62cbc8b83c03740b3a768b65eafa421049", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the illuminated value in the largest numeric readout on this treadmill display. If equally large readouts are present, choose the topmost, then leftmost. Preserve leading zeros and visible decimal points or colons between digits. Ignore unlit segments, isolated indicator lights and smaller secondary readouts. Do not infer units or reformat the value as time. Return only the displayed value, or null if incomplete or unreadable. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 44.2952}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 479, "image": "image_a1426a5908abf1e420af2c61_jpg.rf.48c20982e692ccfb9e678d2dc7557014.jpg", "expected": "KA17AA6024", "predicted": "KA17AA6024", "correct": true, "input_tokens": 1196, "output_tokens": 484, "elapsed_seconds": 7.784063750063069, "metadata": {"question": "{\"question\": \"Read the registration number on the largest visible vehicle license plate. Return only the registration number, reading multiple lines from top to bottom, omitting spaces and preserving letters, digits, leading zeros and hyphens. Exclude country labels, vehicle branding and video overlays. Return null if the complete registration number is unreadable. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "e6a988dee442710f3d35cb7e83c47ec233594beca2e916f9ed8f21027cc001e4", "category": "single_string", "subset": "d883528f51470f78", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "73fcb8049551df89ab0e251d85f3aad6153efa6dafcdd3868393e50402156f91", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the registration number on the largest visible vehicle license plate. Return only the registration number, reading multiple lines from top to bottom, omitting spaces and preserving letters, digits, leading zeros and hyphens. Exclude country labels, vehicle branding and video overlays. Return null if the complete registration number is unreadable. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 7.8398}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 480, "image": "image_aeb0fe692ea1cfb110d01da0_jpg.rf.2da219032b703d32bee48f4d868c85e2.jpg", "expected": "7072774", "predicted": "7072774", "correct": true, "input_tokens": 1122, "output_tokens": 803, "elapsed_seconds": 13.018909416976385, "metadata": {"question": "{\"question\": \"Read the cow ear tag number visible in this image. Return only the number as a string of digits. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "5aa6131c4ebdb7e47438285c4465dfc01f90beb0e8c8335d109bf6102b4120f6", "category": "single_string", "subset": "b3f38c6b63e6967c", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "d40f8607d91fcc4647fc3b116bed62634e3aa1d1b21adedefcbf3cd9f49cd95a", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the cow ear tag number visible in this image. Return only the number as a string of digits. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 13.1324}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 481, "image": "image_fe548642bd79ef4427a080d8_jpg.rf.a1041153091740aa89adadbe32a9de2a.jpg", "expected": "[{\"bbox\":[500,696,2090,1160],\"text\":\"HANDKRAFT\"},{\"bbox\":[775,1170,1834,1515],\"text\":\"SWEA\"}]", "predicted": "[{\"box_2d\": [366, 192, 608, 805], \"text\": \"HANDKRAFT\"}, {\"box_2d\": [604, 293, 776, 700], \"text\": \"SWEA\"}]", "correct": true, "input_tokens": 1296, "output_tokens": 569, "elapsed_seconds": 9.27450379205402, "metadata": {"question": "{\"question\": \"Locate and transcribe all text on the signs in this image.\", \"specification\": \"Use one box per word or standalone number, including curved words in a single box. Exclude text outside the signs and purely graphical symbols. Return plain text, not LaTeX.\\n\\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\", \"task\": \"localization_recognition\"}", "sample_id": "fb96286b16931c9007b3cac335940f0d0c9e9ef80cbd5813850a2a40a887e979", "category": "localization_recognition", "subset": "21363697af554f8e", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "0a12e57b165641089d1adaa84c64e24e005cccc92977477b81de9db7e38693ac", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe all text on the signs in this image.\n\nUse one box per word or standalone number, including curved words in a single box. Exclude text outside the signs and purely graphical symbols. Return plain text, not LaTeX.\n\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 1.0, "status": "ok", "format_compliant": true, "detection_f1": 1.0, "matched_regions": 2, "reference_regions": 2, "predicted_regions": 2, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 9.4555}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 482, "image": "image_ace3722855627f9de00332b0_jpg.rf.eab075d48e5c4fa79e742d2fa0424f49.jpg", "expected": "[{\"bbox\":[276,22,347,31],\"text\":\"SIXTEENTH EDITION\"},{\"bbox\":[64,56,188,69],\"text\":\"INTRODUCTION TO\"},{\"bbox\":[27,71,350,101],\"text\":\"Management Accounting\"},{\"bbox\":[70,136,341,151],\"text\":\"Horngren Sundem Burgstahler Schatzberg\"}]", "predicted": "[{\"box_2d\": [45, 728, 60, 916], \"text\": \"SIXTEENTH EDITION\"}, {\"box_2d\": [112, 173, 134, 493], \"text\": \"INTRODUCTION TO\"}, {\"box_2d\": [146, 74, 203, 916], \"text\": \"Management Accounting\"}, {\"box_2d\": [273, 184, 300, 895], \"text\": \"Horngren Sundem Burgstahler Schatzberg\"}]", "correct": true, "input_tokens": 1321, "output_tokens": 909, "elapsed_seconds": 11.579404167016037, "metadata": {"question": "{\"question\": \"Locate and transcribe all visible text on this book cover, including title, author, publisher and promotional text.\", \"specification\": \"Use one box per text line. Return plain text, not LaTeX.\\n\\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Do not include explanations or Markdown.\", \"task\": \"localization_recognition\"}", "sample_id": "7f55408f4920c839bb2beb2c979146973508ad960451ad3c3f538680b2adc1ea", "category": "localization_recognition", "subset": "658c0e5b4d5e48ce", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "33c1e0ed781f4f944b44d101f8d3439da6f6a55a1bd9372f7fce705ab3becacd", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe all visible text on this book cover, including title, author, publisher and promotional text.\n\nUse one box per text line. Return plain text, not LaTeX.\n\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Do not include explanations or Markdown.\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 1.0, "status": "ok", "format_compliant": true, "detection_f1": 1.0, "matched_regions": 4, "reference_regions": 4, "predicted_regions": 4, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 11.5939}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 483, "image": "image_ace3722855627f9de00332b0_jpg.rf.eab075d48e5c4fa79e742d2fa0424f49.jpg", "expected": "{\"title\":\"INTRODUCTION TO Management Accounting\",\"author\":\"Horngren Sundem Burgstahler Schatzberg\",\"publisher\":null}", "predicted": "{\n \"title\": \"INTRODUCTION TO Management Accounting\",\n \"author\": \"Horngren Sundem Burgstahler Schatzberg\",\n \"publisher\": null\n}", "correct": true, "input_tokens": 1311, "output_tokens": 653, "elapsed_seconds": 9.178694583009928, "metadata": {"question": "{\"question\": \"Extract the information printed on this book cover. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"title\\\": null,\\n \\\"author\\\": null,\\n \\\"publisher\\\": null\\n}\\n\\nInclude the subtitle in title, but exclude series names, endorsements and promotional badges. Include only the book\u2019s authors in author, preserving their printed order and separators; exclude foreword or introduction contributors. Use visible publisher text only; do not identify a symbol-only logo.\\n\\nExclude edition/volume labels from title and editors from author. Join title and subtitle with a space; do not add punctuation.\\n\\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "e6b48c307ec40c6d78e87b1d3d19d12459287e5f51d9cf5a5cc79780f4354d8a", "category": "structured", "subset": "3d7fadf0660f8706", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "33c1e0ed781f4f944b44d101f8d3439da6f6a55a1bd9372f7fce705ab3becacd", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on this book cover. Return only a valid JSON object with these fields:\n\n{\n \"title\": null,\n \"author\": null,\n \"publisher\": null\n}\n\nInclude the subtitle in title, but exclude series names, endorsements and promotional badges. Include only the book\u2019s authors in author, preserving their printed order and separators; exclude foreword or introduction contributors. Use visible publisher text only; do not identify a symbol-only logo.\n\nExclude edition/volume labels from title and editors from author. Join title and subtitle with a space; do not add punctuation.\n\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 3, "reference_fields": 3, "predicted_fields": 3, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 9.1906}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 484, "image": "image_c9377a3576e2705c6892079f_jpg.rf.3a00869abfc87811191c9655fc2d604e.jpg", "expected": "{\"application_id\":\"54APID2306541\",\"application_date\":\"10032016\",\"product_type\":\"Home Equity\",\"tenure_months\":\"150\",\"loan_amount\":\"2050000\",\"applicant_name\":\"NANDAMURI TARAKA RAMA RAO\",\"birth_date\":\"16051984\",\"current_address\":\"RAKUTEN SYMPHONY KADUBEESINA HALLI FLAT NO 305 FLOOR NO 3 BANGALORE 560103\",\"current_city\":\"BANGALORE\",\"current_state\":\"KARNATAKA\",\"current_postal_code\":\"560105\",\"current_mobile\":\"9703468142\",\"pan_number\":\"LIYPL0882S\"}", "predicted": "{\n \"application_id\": \"54APID2306541\",\n \"application_date\": \"10032016\",\n \"product_type\": \"Home Equity\",\n \"tenure_months\": \"150\",\n \"loan_amount\": \"2050000\",\n \"applicant_name\": \"NANDAMURI TARAKA RAMA RAO\",\n \"birth_date\": \"16051984\",\n \"current_address\": \"RAKUTEN SYMPHONY KADUBEESINA HALLI FLAT NO 305 FLOOR NO 3 BANGALORE 560103\",\n \"current_city\": \"BANGALORE\",\n \"current_state\": \"KARNATAKA\",\n \"current_postal_code\": \"560103\",\n \"current_mobile\": \"9903468142\",\n \"pan_number\": \"LTYPK9882S\"\n}", "correct": false, "input_tokens": 1432, "output_tokens": 2858, "elapsed_seconds": 35.10977258300409, "metadata": {"question": "{\"question\": \"Extract the completed applicant and loan fields from this loan application. Return only a valid JSON object with this structure:\\n\\n{\\n \\\"application_id\\\": null,\\n \\\"application_date\\\": null,\\n \\\"product_type\\\": null,\\n \\\"tenure_months\\\": null,\\n \\\"loan_amount\\\": null,\\n \\\"applicant_name\\\": null,\\n \\\"birth_date\\\": null,\\n \\\"current_address\\\": null,\\n \\\"current_city\\\": null,\\n \\\"current_state\\\": null,\\n \\\"current_postal_code\\\": null,\\n \\\"current_mobile\\\": null,\\n \\\"pan_number\\\": null\\n}\\n\\nUse Application ID No., not Application Form No. Read the current address, not the permanent address. Remove spaces between character boxes in identifiers and numbers; retain word spaces in names and addresses. For product_type, copy the single checked option; use null if none or several are selected. Transcribe date-box contents as written without inventing separators, even if malformed. Keep leading zeros in numbers.\\n\\nPreserve spelling, capitalization and punctuation; join line breaks within a field with spaces. Do not infer, correct or translate. Ignore filler dashes in unused boxes. For current_address, include only Current Residence Address lines, excluding the separately labelled landmark, city, state and postal-code fields. Use strings for values and null for missing or unreadable fields. Include every key. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "51d391b3b41f6387a50d512510a1115e46b55126ec9cdd41d8408d95167d66a7", "category": "structured", "subset": "320cb142e1839899", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "77271ffb839aa5629d561105b4ed889003be16bff765ca16e4755543da774d31", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the completed applicant and loan fields from this loan application. Return only a valid JSON object with this structure:\n\n{\n \"application_id\": null,\n \"application_date\": null,\n \"product_type\": null,\n \"tenure_months\": null,\n \"loan_amount\": null,\n \"applicant_name\": null,\n \"birth_date\": null,\n \"current_address\": null,\n \"current_city\": null,\n \"current_state\": null,\n \"current_postal_code\": null,\n \"current_mobile\": null,\n \"pan_number\": null\n}\n\nUse Application ID No., not Application Form No. Read the current address, not the permanent address. Remove spaces between character boxes in identifiers and numbers; retain word spaces in names and addresses. For product_type, copy the single checked option; use null if none or several are selected. Transcribe date-box contents as written without inventing separators, even if malformed. Keep leading zeros in numbers.\n\nPreserve spelling, capitalization and punctuation; join line breaks within a field with spaces. Do not infer, correct or translate. Ignore filler dashes in unused boxes. For current_address, include only Current Residence Address lines, excluding the separately labelled landmark, city, state and postal-code fields. Use strings for values and null for missing or unreadable fields. Include every key. Do not include explanations or Markdown.", "match_method": "structured", "score": 0.7692, "status": "ok", "format_compliant": true, "matched_fields": 10, "reference_fields": 13, "predicted_fields": 13, "non_null_field_accuracy": 0.7692307692307693, "object_exact_match": false, "attempts": 2, "retries": 1, "total_seconds": 97.8972, "transient_errors": ["RemoteProtocolError"]}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 485, "image": "image_7defc203447a04d620ea3f9e_jpg.rf.534dddb14a40ee7aeb449d033de391d3.jpg", "expected": "00820", "predicted": "00820", "correct": true, "input_tokens": 1146, "output_tokens": 216, "elapsed_seconds": 5.604306166060269, "metadata": {"question": "{\"question\": \"Read the electricity meter reading visible in this image. Return only the reading as a string of digits. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "426ae7e534a05580d4748d66cc724d9f5e7c4256f7574890d689c6cfca892202", "category": "single_string", "subset": "3a0d0e0892a8fc95", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "5ac99ee0fcd0879321bf54e11ab48fa1dac22a7b4bacfa38c4cfa42f166dbe14", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the electricity meter reading visible in this image. Return only the reading as a string of digits. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 5.6965}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 486, "image": "image_de4aec19f863fe3ededf94f4_jpg.rf.8759792acb183defc976e1ee8332b374.jpg", "expected": "{\"validity_period\":\"dal 28 novembre all'11 dicembre 2024\",\"offers\":[{\"product_name\":\"SPEZZATINO DI BOVINO ADULTO\",\"price\":\"8,49\",\"price_basis\":\"/kg\"},{\"product_name\":\"HAMBURGER DI SCOTTONA\",\"price\":\"2,19\",\"price_basis\":\"/pz\"},{\"product_name\":\"BRACIOLE DI COPPA DI SUINO\",\"price\":\"6,49\",\"price_basis\":\"/kg\"},{\"product_name\":\"FUSI E SOVRACOSCE DI POLLO\",\"price\":\"3,99\",\"price_basis\":\"/kg\"},{\"product_name\":\"STRACCETTI DI POLLO\",\"price\":\"7,99\",\"price_basis\":\"/kg\"},{\"product_name\":\"CORDON BLEU DI POLLO E TACCHINO\",\"price\":\"1,99\",\"price_basis\":\"/pz\"},{\"product_name\":\"TRECCIA PUGLIESE\",\"price\":\"9,99\",\"price_basis\":\"/kg\"},{\"product_name\":\"BOCCONCINI DI LATTE DI BUFALA\",\"price\":\"2,99\",\"price_basis\":\"/pz\"},{\"product_name\":\"TARALLUCCI ALLE RAPE\",\"price\":\"1,79\",\"price_basis\":\"/pz\"}]}", "predicted": "{\n \"validity_period\": \"dal 28 novembre all'11 dicembre 2024\",\n \"offers\": [\n {\n \"product_name\": \"SPEZZATINO DI BOVINO ADULTO\",\n \"price\": \"8,49\",\n \"price_basis\": \"/kg\"\n },\n {\n \"product_name\": \"HAMBURGER DI SCOTTONA\",\n \"price\": \"2,19\",\n \"price_basis\": \"/pz\"\n },\n {\n \"product_name\": \"BRACIOLE DI COPPA DI SUINO\",\n \"price\": \"6,49\",\n \"price_basis\": \"/kg\"\n },\n {\n \"product_name\": \"FUSI E SOVRACOSCE DI POLLO\",\n \"price\": \"3,99\",\n \"price_basis\": \"/kg\"\n },\n {\n \"product_name\": \"STRACCETTI DI POLLO\",\n \"price\": \"7,99\",\n \"price_basis\": \"/kg\"\n },\n {\n \"product_name\": \"CORDON BLEU DI POLLO E TACCHINO\",\n \"price\": \"1,99\",\n \"price_basis\": \"/pz\"\n },\n {\n \"product_name\": \"TRECCIA PUGLIESE\",\n \"price\": \"9,99\",\n \"price_basis\": \"/kg\"\n },\n {\n \"product_name\": \"BOCCONCINI DI LATTE DI BUFALA\",\n \"price\": \"2,99\",\n \"price_basis\": \"/pz\"\n },\n {\n \"product_name\": \"TARALLUCCI ALLE RAPE\",\n \"price\": \"1,79\",\n \"price_basis\": \"/pz\"\n }\n ]\n}", "correct": true, "input_tokens": 1416, "output_tokens": 1944, "elapsed_seconds": 20.22119762492366, "metadata": {"question": "{\"question\": \"Extract the information printed on this retail leaflet page. Return only a valid JSON object with this structure:\\n\\n{\\n \\\"validity_period\\\": null,\\n \\\"offers\\\": [\\n {\\n \\\"product_name\\\": null,\\n \\\"price\\\": null,\\n \\\"price_basis\\\": null\\n }\\n ]\\n}\\n\\nReturn product blocks in visual rows, left-to-right. Use the printed product description, excluding variant lists and text only on pictured packaging. Include a separately printed brand above the description only if not already named there.\\n\\nUse the prominent advertised price, not previous or comparison prices. Join raised cents with a decimal comma; place any printed currency after the amount with one space (e.g., \u20ac4\u2079\u2079 \u2192 4,99 \u20ac). Do not infer currency or calculate prices. Keep ply counts in product_name. Put the selling basis in price_basis (al kg \u2192 /kg, al pz \u2192 /pz, confezione \u2192 confezione).\\n\\nUse only page-wide validity dates, without weekdays; an end-only date is allowed. Exclude unrestricted marketing slogans. Discount-only offers have price:null.\\n\\nPreserve text as printed, joining line breaks within a field with spaces. Do not infer missing information or translate. Include every key. Use strings for extracted values and null for missing or unreadable values; retain arrays as arrays. Return empty arrays when there are no entries. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "483ab4c5a54a910733de66df0d555c43949388d3502e3726219a7b21953c7fda", "category": "structured", "subset": "660e48d305d84282", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "15da93a437edab236026e5afe3eb93d7acde696168aa51bc1cbb2c6aa44f20b3", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on this retail leaflet page. Return only a valid JSON object with this structure:\n\n{\n \"validity_period\": null,\n \"offers\": [\n {\n \"product_name\": null,\n \"price\": null,\n \"price_basis\": null\n }\n ]\n}\n\nReturn product blocks in visual rows, left-to-right. Use the printed product description, excluding variant lists and text only on pictured packaging. Include a separately printed brand above the description only if not already named there.\n\nUse the prominent advertised price, not previous or comparison prices. Join raised cents with a decimal comma; place any printed currency after the amount with one space (e.g., \u20ac4\u2079\u2079 \u2192 4,99 \u20ac). Do not infer currency or calculate prices. Keep ply counts in product_name. Put the selling basis in price_basis (al kg \u2192 /kg, al pz \u2192 /pz, confezione \u2192 confezione).\n\nUse only page-wide validity dates, without weekdays; an end-only date is allowed. Exclude unrestricted marketing slogans. Discount-only offers have price:null.\n\nPreserve text as printed, joining line breaks within a field with spaces. Do not infer missing information or translate. Include every key. Use strings for extracted values and null for missing or unreadable values; retain arrays as arrays. Return empty arrays when there are no entries. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 28, "reference_fields": 28, "predicted_fields": 28, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 20.3038}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 487, "image": "image_75d11db84826dbc025f12e85_jpg.rf.5397d161dbff9a5b58ddc8c8a5d864fb.jpg", "expected": "{\"client_number\":\"TN13482787\",\"account_number\":\"147166772300\",\"branch_name\":\"Agence Ennkhilet\",\"surname\":\"Jrad\",\"given_name\":\"Amine\",\"sex\":\"Masculin\",\"birth_date\":\"17/08/1997\",\"birth_city\":\"Gabes\",\"birth_country\":\"Tunisie\",\"identity_document_type\":\"Passport\",\"identity_document_number\":\"TR816230\",\"nationality\":\"Tunisienne\",\"marital_status\":\"C\u00e9libataire\",\"mailing_address\":\"Rue Bilel, Apt 15\",\"postal_code\":\"4100\",\"city\":\"Tunis\",\"country\":\"Tunisie\",\"phone\":\"+21623778919\",\"email\":\"Jrad.Amine@gmail.com\",\"profession\":\"M\u00e9decin\",\"net_monthly_income\":\"3000 TND\",\"employer_category\":\"Secteur public\",\"account_type\":\"compte courant\"}", "predicted": "{\n \"client_number\": \"TN13482787\",\n \"account_number\": \"147166772300\",\n \"branch_name\": \"Agence Ennkhilet\",\n \"surname\": \"Jrad\",\n \"given_name\": \"Amine\",\n \"sex\": \"Masculin\",\n \"birth_date\": \"17/08/1997\",\n \"birth_city\": \"Gabes\",\n \"birth_country\": \"Tunisie\",\n \"identity_document_type\": \"Passport\",\n \"identity_document_number\": \"TR816230\",\n \"nationality\": \"Tunisienne\",\n \"marital_status\": \"C\u00e9libataire\",\n \"mailing_address\": \"Rue Bilel, Apt 15\",\n \"postal_code\": \"4100\",\n \"city\": \"Tunis\",\n \"country\": \"Tunisie\",\n \"phone\": \"+21623778919\",\n \"email\": \"Jrad.Amine@gmail.com\",\n \"profession\": \"M\u00e9decin\",\n \"net_monthly_income\": \"3000 TND\",\n \"employer_category\": \"Secteur public\",\n \"account_type\": \"compte courant\"\n}", "correct": true, "input_tokens": 1479, "output_tokens": 1679, "elapsed_seconds": 18.055281749926507, "metadata": {"question": "{\"question\": \"Extract the completed customer and account fields from this form. Return only a valid JSON object with this structure:\\n\\n{\\n \\\"client_number\\\": null,\\n \\\"account_number\\\": null,\\n \\\"branch_name\\\": null,\\n \\\"surname\\\": null,\\n \\\"given_name\\\": null,\\n \\\"sex\\\": null,\\n \\\"birth_date\\\": null,\\n \\\"birth_city\\\": null,\\n \\\"birth_country\\\": null,\\n \\\"identity_document_type\\\": null,\\n \\\"identity_document_number\\\": null,\\n \\\"nationality\\\": null,\\n \\\"marital_status\\\": null,\\n \\\"mailing_address\\\": null,\\n \\\"postal_code\\\": null,\\n \\\"city\\\": null,\\n \\\"country\\\": null,\\n \\\"phone\\\": null,\\n \\\"email\\\": null,\\n \\\"profession\\\": null,\\n \\\"net_monthly_income\\\": null,\\n \\\"employer_category\\\": null,\\n \\\"account_type\\\": null\\n}\\n\\nUse customer entries, not printed labels or signatures. Mailing city/country belong to the address, not birthplace. Remove spaces from client, account, identity and telephone numbers; retain other punctuation and leading zeros. Keep dates and income, including any written currency, as written.\\n\\nIgnore crossed-out text when a replacement is visible. Assign misplaced entries by their explicit meaning, not by the adjacent blank; otherwise use the labelled field. Preserve handwritten spelling and abbreviations, including apparent mistakes.\\n\\nPreserve the text as written; join line breaks within a field with spaces. Do not infer missing information or translate. Use strings for extracted values and null for missing or unreadable fields. Include every key. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "b873d8344d68c362b62f95a3f242dc1a06e401e10322b526568c545a87a72f8e", "category": "structured", "subset": "cc71eb86fa5bf20e", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "473cd87efcb67824c4f9d33e93d201fb0eb44aa3e228da5da2d0a5dd59ab4300", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the completed customer and account fields from this form. Return only a valid JSON object with this structure:\n\n{\n \"client_number\": null,\n \"account_number\": null,\n \"branch_name\": null,\n \"surname\": null,\n \"given_name\": null,\n \"sex\": null,\n \"birth_date\": null,\n \"birth_city\": null,\n \"birth_country\": null,\n \"identity_document_type\": null,\n \"identity_document_number\": null,\n \"nationality\": null,\n \"marital_status\": null,\n \"mailing_address\": null,\n \"postal_code\": null,\n \"city\": null,\n \"country\": null,\n \"phone\": null,\n \"email\": null,\n \"profession\": null,\n \"net_monthly_income\": null,\n \"employer_category\": null,\n \"account_type\": null\n}\n\nUse customer entries, not printed labels or signatures. Mailing city/country belong to the address, not birthplace. Remove spaces from client, account, identity and telephone numbers; retain other punctuation and leading zeros. Keep dates and income, including any written currency, as written.\n\nIgnore crossed-out text when a replacement is visible. Assign misplaced entries by their explicit meaning, not by the adjacent blank; otherwise use the labelled field. Preserve handwritten spelling and abbreviations, including apparent mistakes.\n\nPreserve the text as written; join line breaks within a field with spaces. Do not infer missing information or translate. Use strings for extracted values and null for missing or unreadable fields. Include every key. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 23, "reference_fields": 23, "predicted_fields": 23, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 18.1208}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 488, "image": "image_c27673a970acc7e79a77026b_jpg.rf.375ef97cc809c4603acc58da066ab083.jpg", "expected": "{\"merchant\":\"Store-SSG Tower\",\"receipt_number\":null,\"date\":\"11/18/2016\",\"time\":\"08:25\",\"currency\":null,\"items\":[{\"description\":\"ICED CAFFE LATTE T\",\"quantity\":\"1.0000\",\"unit_price\":null,\"line_total\":\"70,000\"},{\"description\":\". EXTRA VANILA SYRUP\",\"quantity\":\"1.0000\",\"unit_price\":null,\"line_total\":\"10,000\"}],\"subtotal\":\"72,727\",\"discount\":null,\"tax\":\"7,273\",\"total\":\"80,000\"}", "predicted": "{\"merchant\":\"Store-SSG Tower\",\"receipt_number\":null,\"date\":\"11/18/2016\",\"time\":\"08:25\",\"currency\":null,\"items\":[{\"description\":\"ICED CAFFE LATTE T\",\"quantity\":\"1.0000\",\"unit_price\":null,\"line_total\":\"70,000\"},{\"description\":\". EXTRA VANILA SYRUP\",\"quantity\":\"1.0000\",\"unit_price\":null,\"line_total\":\"10,000\"}],\"subtotal\":\"72,727\",\"discount\":null,\"tax\":\"7,273\",\"total\":\"80,000\"}", "correct": true, "input_tokens": 1412, "output_tokens": 1634, "elapsed_seconds": 19.907929791952483, "metadata": {"question": "{\"question\": \"Extract the transaction and purchased items from this receipt. Return only a valid JSON object with these fields:\\n\\n{\\\"merchant\\\":null,\\\"receipt_number\\\":null,\\\"date\\\":null,\\\"time\\\":null,\\\"currency\\\":null,\\\"items\\\":[{\\\"description\\\":null,\\\"quantity\\\":null,\\\"unit_price\\\":null,\\\"line_total\\\":null}],\\\"subtotal\\\":null,\\\"discount\\\":null,\\\"tax\\\":null,\\\"total\\\":null}\\n\\nMerchant: printed header company/business name, otherwise store/branch name; never infer from logos or websites. Receipt number: prefer Bill/Invoice/Receipt, then Check/CHK, then transaction/order ID; exclude terminal, table, payment and unlabeled barcode numbers. Use transaction date/time, retaining printed separators and AM/PM.\\n\\nItems: one row per priced purchase/add-on; append unpriced product modifiers to its description. Exclude promotion, discount, tax and payment lines. Copy unit_price only from a separate printed unit-price field; a lone amount is line_total. Preserve item order.\\n\\nTotal: primary final sale amount, not alternate-currency conversion, payment, change or balance. Currency must explicitly apply to that primary amount. Subtotal, discount and tax: printed receipt-wide summary amounts only, not item-level adjustments or percentages. Do not calculate. Omit currency from amount strings; preserve signs and separators.\\n\\nPreserve other text and capitalization; join field line breaks with spaces. Use strings, null for missing/unreadable fields, and [] for no items. Include every key. Do not infer missing text, translate or add explanations/Markdown.\", \"task\": \"structured\"}", "sample_id": "6c24e88ec59b1e24d04b4789392ecae3ae1793b36726cf88da5ea194e64fdce4", "category": "structured", "subset": "a703300632cb4e39", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "1ff123ae86ae91411d4b866585262bfdc2c669e86245898a8d2b2a7b19bd6bd5", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the transaction and purchased items from this receipt. Return only a valid JSON object with these fields:\n\n{\"merchant\":null,\"receipt_number\":null,\"date\":null,\"time\":null,\"currency\":null,\"items\":[{\"description\":null,\"quantity\":null,\"unit_price\":null,\"line_total\":null}],\"subtotal\":null,\"discount\":null,\"tax\":null,\"total\":null}\n\nMerchant: printed header company/business name, otherwise store/branch name; never infer from logos or websites. Receipt number: prefer Bill/Invoice/Receipt, then Check/CHK, then transaction/order ID; exclude terminal, table, payment and unlabeled barcode numbers. Use transaction date/time, retaining printed separators and AM/PM.\n\nItems: one row per priced purchase/add-on; append unpriced product modifiers to its description. Exclude promotion, discount, tax and payment lines. Copy unit_price only from a separate printed unit-price field; a lone amount is line_total. Preserve item order.\n\nTotal: primary final sale amount, not alternate-currency conversion, payment, change or balance. Currency must explicitly apply to that primary amount. Subtotal, discount and tax: printed receipt-wide summary amounts only, not item-level adjustments or percentages. Do not calculate. Omit currency from amount strings; preserve signs and separators.\n\nPreserve other text and capitalization; join field line breaks with spaces. Use strings, null for missing/unreadable fields, and [] for no items. Include every key. Do not infer missing text, translate or add explanations/Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 17, "reference_fields": 17, "predicted_fields": 17, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 19.9221}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 489, "image": "image_7e838f65b0f908bc5e94e2d4_jpg.rf.bf64ebb2ea392034e487eb906200c0f0.jpg", "expected": "8803888", "predicted": "8803888", "correct": true, "input_tokens": 1144, "output_tokens": 1048, "elapsed_seconds": 22.691355083021335, "metadata": {"question": "{\"question\": \"Read the identification code on the utility pole tag. Return only the code, joining vertically stacked characters without spaces and preserving leading zeros and hyphens. Exclude labels such as POLE NO., timestamps and GPS/address overlays. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "63fe0d4a75e2302a5f6c7da91c97ca7e75ccdddfb7e903b7c6db58b3f80b2a24", "category": "single_string", "subset": "cd97317d8ff518ba", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "43530d64325f81af788afb0006b7a85cfe3f64d3773c9ba4918c6baeb1f994b6", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the identification code on the utility pole tag. Return only the code, joining vertically stacked characters without spaces and preserving leading zeros and hyphens. Exclude labels such as POLE NO., timestamps and GPS/address overlays. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 23.1137}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 490, "image": "image_ef6d8da449199113c436dcbe_jpg.rf.0948da853c5f0930fa95237dae3d0a67.jpg", "expected": "[{\"bbox\":[0,6,11,25],\"text\":\"2\"},{\"bbox\":[0,31,12,51],\"text\":\"1\"},{\"bbox\":[41,51,56,93],\"text\":\"CN5\"},{\"bbox\":[226,51,261,70],\"text\":\"CNB\"},{\"bbox\":[374,53,393,64],\"text\":\"R3\"},{\"bbox\":[552,57,563,84],\"text\":\"SW3\"},{\"bbox\":[460,58,473,88],\"text\":\"SW2\"},{\"bbox\":[166,66,197,82],\"text\":\"C13\"},{\"bbox\":[108,67,143,104],\"text\":\"150 CFK 0C7\"},{\"bbox\":[417,75,445,88],\"text\":\"RM6\"},{\"bbox\":[251,76,270,91],\"text\":\"C8\"},{\"bbox\":[309,76,357,112],\"text\":\"CX104BB 30.000M TCY1151\"},{\"bbox\":[373,81,400,94],\"text\":\"R38\"},{\"bbox\":[424,96,438,107],\"text\":\"102\"},{\"bbox\":[81,101,102,119],\"text\":\"C9\"},{\"bbox\":[182,105,202,121],\"text\":\"C5\"},{\"bbox\":[373,109,399,122],\"text\":\"R34\"},{\"bbox\":[218,118,242,133],\"text\":\"EM1\"},{\"bbox\":[653,118,720,134],\"text\":\"MR2A16A\"},{\"bbox\":[423,128,462,142],\"text\":\"FPGA\"},{\"bbox\":[321,131,352,143],\"text\":\"U22\"},{\"bbox\":[746,145,759,176],\"text\":\"U23\"},{\"bbox\":[246,149,255,172],\"text\":\"TP1\"},{\"bbox\":[551,149,563,176],\"text\":\"R25\"},{\"bbox\":[507,150,518,177],\"text\":\"R26\"},{\"bbox\":[769,166,787,178],\"text\":\"1\"},{\"bbox\":[57,168,85,186],\"text\":\"JP2\"},{\"bbox\":[35,169,58,185],\"text\":\"JP1\"},{\"bbox\":[236,175,249,194],\"text\":\"C6\"},{\"bbox\":[549,181,567,194],\"text\":\"L9\"},{\"bbox\":[343,182,452,318],\"text\":null},{\"bbox\":[106,192,177,228],\"text\":\"EN5335QI E01MD U140\"},{\"bbox\":[5,194,39,206],\"text\":\"TPG1\"},{\"bbox\":[552,194,581,204],\"text\":\"[DN]\"},{\"bbox\":[662,197,673,220],\"text\":\"RM1\"},{\"bbox\":[230,201,240,221],\"text\":\"C4\"},{\"bbox\":[639,202,650,220],\"text\":\"U3\"},{\"bbox\":[688,203,702,212],\"text\":\"102\"},{\"bbox\":[1,204,42,216],\"text\":\"[GND]\"},{\"bbox\":[525,215,544,228],\"text\":\"Q1\"},{\"bbox\":[507,219,518,246],\"text\":\"R19\"},{\"bbox\":[237,221,249,241],\"text\":\"C7\"},{\"bbox\":[36,224,48,245],\"text\":\"C3\"},{\"bbox\":[640,225,652,245],\"text\":\"U4\"},{\"bbox\":[690,227,717,241],\"text\":\"R20\"},{\"bbox\":[582,228,593,257],\"text\":\"CN2\"},{\"bbox\":[749,232,763,284],\"text\":\"[JTAG]\"},{\"bbox\":[93,238,108,251],\"text\":\"U1\"},{\"bbox\":[68,245,82,268],\"text\":\"R16\"},{\"bbox\":[187,245,199,274],\"text\":\"EM2\"},{\"bbox\":[688,245,718,259],\"text\":\"R23\"},{\"bbox\":[507,246,519,264],\"text\":\"U5\"},{\"bbox\":[118,249,130,274],\"text\":\"C16\"},{\"bbox\":[86,258,94,276],\"text\":\"P2\"},{\"bbox\":[94,258,105,275],\"text\":\"P1\"},{\"bbox\":[639,258,668,272],\"text\":\"RM3\"},{\"bbox\":[691,262,716,273],\"text\":\"R21\"},{\"bbox\":[609,268,622,277],\"text\":\"472\"},{\"bbox\":[69,270,85,279],\"text\":\"L8\"},{\"bbox\":[690,274,718,290],\"text\":\"R22\"},{\"bbox\":[521,277,537,290],\"text\":\"R1\"},{\"bbox\":[55,280,83,292],\"text\":\"[PW]\"},{\"bbox\":[232,285,246,311],\"text\":\"C15\"},{\"bbox\":[7,288,35,297],\"text\":\"CN4\"},{\"bbox\":[570,288,594,302],\"text\":\"R11\"},{\"bbox\":[750,293,761,321],\"text\":\"CN3\"},{\"bbox\":[525,296,536,316],\"text\":\"R6\"},{\"bbox\":[569,306,595,318],\"text\":\"R10\"},{\"bbox\":[105,308,176,344],\"text\":\"EN5335QI E01MD U140\"},{\"bbox\":[7,309,17,335],\"text\":\"C11\"},{\"bbox\":[239,313,251,339],\"text\":\"C17\"},{\"bbox\":[571,321,592,333],\"text\":\"R9\"},{\"bbox\":[645,328,729,365],\"text\":null},{\"bbox\":[84,334,94,359],\"text\":\"C14\"},{\"bbox\":[572,337,588,349],\"text\":\"R8\"},{\"bbox\":[594,338,618,351],\"text\":\"SW1\"},{\"bbox\":[525,343,537,362],\"text\":\"R7\"},{\"bbox\":[742,346,756,364],\"text\":\"U7\"},{\"bbox\":[219,352,232,361],\"text\":\"102\"},{\"bbox\":[770,352,787,363],\"text\":\"7\"},{\"bbox\":[98,357,118,372],\"text\":\"U2\"},{\"bbox\":[319,358,348,370],\"text\":\"U21\"},{\"bbox\":[164,360,176,378],\"text\":\"P3\"},{\"bbox\":[9,361,18,380],\"text\":\"D1\"},{\"bbox\":[248,361,276,374],\"text\":\"RM4\"},{\"bbox\":[375,362,402,374],\"text\":\"R37\"},{\"bbox\":[754,365,764,404],\"text\":\"[GND]\"},{\"bbox\":[740,367,752,404],\"text\":\"TPG2\"},{\"bbox\":[66,368,86,383],\"text\":\"P4\"},{\"bbox\":[33,369,45,390],\"text\":null},{\"bbox\":[487,370,501,395],\"text\":\"RC1\"},{\"bbox\":[575,375,587,384],\"text\":null},{\"bbox\":[587,375,598,385],\"text\":null},{\"bbox\":[611,376,620,385],\"text\":null},{\"bbox\":[601,377,611,383],\"text\":null},{\"bbox\":[311,386,358,419],\"text\":\"CX104BB 50.000M TCY1121\"},{\"bbox\":[377,389,395,403],\"text\":\"R2\"},{\"bbox\":[424,393,438,402],\"text\":\"102\"},{\"bbox\":[106,398,138,434],\"text\":\"150 CFK 0C7\"},{\"bbox\":[41,404,57,433],\"text\":\"CN1\"},{\"bbox\":[527,412,555,426],\"text\":\"RM2\"},{\"bbox\":[574,412,586,420],\"text\":\"1\"},{\"bbox\":[598,412,610,421],\"text\":\"3\"},{\"bbox\":[587,413,598,421],\"text\":\"2\"},{\"bbox\":[610,413,623,421],\"text\":\"4\"},{\"bbox\":[645,413,741,444],\"text\":\"HUMANDATA XCM-019B\"},{\"bbox\":[415,414,446,430],\"text\":\"RM5\"},{\"bbox\":[195,416,209,437],\"text\":\"L6\"},{\"bbox\":[209,416,221,439],\"text\":\"L5\"},{\"bbox\":[236,416,248,436],\"text\":\"L3\"},{\"bbox\":[249,416,263,436],\"text\":\"L2\"},{\"bbox\":[278,416,291,437],\"text\":\"L0\"},{\"bbox\":[179,417,193,436],\"text\":\"L7\"},{\"bbox\":[223,417,234,437],\"text\":\"L4\"},{\"bbox\":[264,418,276,436],\"text\":\"L1\"},{\"bbox\":[375,418,399,431],\"text\":\"R33\"},{\"bbox\":[84,420,98,436],\"text\":\"C1\"},{\"bbox\":[464,431,500,448],\"text\":\"CNA\"},{\"bbox\":[753,436,775,448],\"text\":\"66\"},{\"bbox\":[0,456,14,473],\"text\":\"2\"},{\"bbox\":[1,479,15,501],\"text\":\"1\"}]", "predicted": "[{\"box_2d\": [18, 2, 46, 16], \"text\": \"1\"}, {\"box_2d\": [56, 985, 86, 998], \"text\": \"99\"}, {\"box_2d\": [68, 4, 92, 16], \"text\": \"2\"}, {\"box_2d\": [108, 469, 130, 490], \"text\": \"R3\"}, {\"box_2d\": [110, 54, 162, 68], \"text\": \"CN5\"}, {\"box_2d\": [112, 285, 138, 326], \"text\": \"CNB\"}, {\"box_2d\": [120, 691, 170, 705], \"text\": \"SW3\"}, {\"box_2d\": [122, 578, 172, 590], \"text\": \"SW2\"}, {\"box_2d\": [138, 211, 160, 241], \"text\": \"C13\"}, {\"box_2d\": [142, 136, 204, 176], \"text\": \"150 CFK. 0C7\"}, {\"box_2d\": [156, 522, 176, 555], \"text\": \"RM6\"}, {\"box_2d\": [158, 389, 220, 449], \"text\": \"CX104BB 30.000M TCY1151\"}, {\"box_2d\": [160, 314, 182, 336], \"text\": \"C8\"}, {\"box_2d\": [164, 469, 186, 500], \"text\": \"R38\"}, {\"box_2d\": [198, 534, 210, 548], \"text\": \"102\"}, {\"box_2d\": [212, 104, 236, 126], \"text\": \"C9\"}, {\"box_2d\": [220, 229, 242, 250], \"text\": \"C5\"}, {\"box_2d\": [222, 469, 244, 500], \"text\": \"R34\"}, {\"box_2d\": [242, 273, 264, 301], \"text\": \"EM1\"}, {\"box_2d\": [242, 824, 266, 895], \"text\": \"MR2A16A\"}, {\"box_2d\": [260, 405, 284, 438], \"text\": \"U22\"}, {\"box_2d\": [260, 531, 284, 574], \"text\": \"FPGA\"}, {\"box_2d\": [296, 309, 340, 321], \"text\": \"TP1\"}, {\"box_2d\": [296, 934, 348, 949], \"text\": \"U23\"}, {\"box_2d\": [302, 636, 354, 650], \"text\": \"R26\"}, {\"box_2d\": [302, 690, 354, 704], \"text\": \"R25\"}, {\"box_2d\": [342, 46, 366, 72], \"text\": \"JP1\"}, {\"box_2d\": [342, 76, 366, 106], \"text\": \"JP2\"}, {\"box_2d\": [342, 965, 354, 980], \"text\": \"1\"}, {\"box_2d\": [352, 298, 386, 310], \"text\": \"C6\"}, {\"box_2d\": [366, 690, 410, 726], \"text\": \"L9 [DN]\"}, {\"box_2d\": [374, 430, 558, 566], \"text\": \"XILINX SPARTAN-6 XC6SLX45 TM FGG484CIV1145 D4317773A 2C\"}, {\"box_2d\": [388, 830, 436, 842], \"text\": \"RM1\"}, {\"box_2d\": [390, 10, 430, 50], \"text\": \"TPG1 [GND]\"}, {\"box_2d\": [390, 140, 452, 218], \"text\": \"EN5335QI E01MD U140\"}, {\"box_2d\": [404, 285, 440, 299], \"text\": \"C4\"}, {\"box_2d\": [406, 799, 440, 812], \"text\": \"U3\"}, {\"box_2d\": [410, 864, 422, 879], \"text\": \"102\"}, {\"box_2d\": [432, 661, 452, 680], \"text\": \"Q1\"}, {\"box_2d\": [440, 636, 488, 650], \"text\": \"R19\"}, {\"box_2d\": [450, 298, 484, 311], \"text\": \"C7\"}, {\"box_2d\": [452, 50, 486, 64], \"text\": \"C3\"}, {\"box_2d\": [454, 799, 490, 812], \"text\": \"U4\"}, {\"box_2d\": [458, 865, 480, 898], \"text\": \"R20\"}, {\"box_2d\": [462, 728, 514, 741], \"text\": \"CN2\"}, {\"box_2d\": [464, 938, 568, 954], \"text\": \"[JTAG]\"}, {\"box_2d\": [476, 117, 500, 136], \"text\": \"U1\"}, {\"box_2d\": [488, 89, 536, 102], \"text\": \"R16\"}, {\"box_2d\": [492, 236, 544, 249], \"text\": \"EM2\"}, {\"box_2d\": [492, 636, 528, 650], \"text\": \"U5\"}, {\"box_2d\": [492, 865, 514, 898], \"text\": \"R23\"}, {\"box_2d\": [500, 149, 548, 161], \"text\": \"C16\"}, {\"box_2d\": [516, 106, 550, 119], \"text\": \"P2\"}, {\"box_2d\": [516, 120, 548, 134], \"text\": \"P1\"}, {\"box_2d\": [518, 801, 540, 834], \"text\": \"RM3\"}, {\"box_2d\": [522, 865, 544, 895], \"text\": \"R21\"}, {\"box_2d\": [536, 70, 582, 109], \"text\": \"L8 [PW]\"}, {\"box_2d\": [542, 765, 554, 780], \"text\": \"472\"}, {\"box_2d\": [554, 865, 578, 898], \"text\": \"R22\"}, {\"box_2d\": [558, 652, 580, 671], \"text\": \"R1\"}, {\"box_2d\": [572, 12, 594, 44], \"text\": \"CN4\"}, {\"box_2d\": [572, 291, 620, 304], \"text\": \"C15\"}, {\"box_2d\": [576, 714, 598, 741], \"text\": \"R11\"}, {\"box_2d\": [586, 939, 640, 954], \"text\": \"CN3\"}, {\"box_2d\": [596, 656, 632, 669], \"text\": \"R6\"}, {\"box_2d\": [602, 434, 626, 493], \"text\": \"TAIWAN\"}, {\"box_2d\": [610, 714, 632, 745], \"text\": \"R10\"}, {\"box_2d\": [620, 9, 666, 21], \"text\": \"C11\"}, {\"box_2d\": [624, 141, 686, 219], \"text\": \"EN5335QI E01MD U140\"}, {\"box_2d\": [624, 299, 676, 312], \"text\": \"C17\"}, {\"box_2d\": [640, 714, 662, 735], \"text\": \"R9\"}, {\"box_2d\": [654, 811, 750, 902], \"text\": \"25P32V6P 78696 VS PHL 110\"}, {\"box_2d\": [666, 104, 714, 116], \"text\": \"C14\"}, {\"box_2d\": [674, 714, 696, 735], \"text\": \"R8\"}, {\"box_2d\": [676, 743, 698, 771], \"text\": \"SW1\"}, {\"box_2d\": [686, 658, 722, 670], \"text\": \"R7\"}, {\"box_2d\": [692, 930, 728, 945], \"text\": \"U7\"}, {\"box_2d\": [706, 276, 718, 291], \"text\": \"102\"}, {\"box_2d\": [708, 964, 722, 980], \"text\": \"7\"}, {\"box_2d\": [714, 404, 736, 434], \"text\": \"U21\"}, {\"box_2d\": [716, 124, 740, 145], \"text\": \"U2\"}, {\"box_2d\": [720, 206, 754, 219], \"text\": \"P3\"}, {\"box_2d\": [722, 10, 752, 23], \"text\": \"D1\"}, {\"box_2d\": [722, 311, 744, 344], \"text\": \"RM4\"}, {\"box_2d\": [724, 471, 746, 502], \"text\": \"R37\"}, {\"box_2d\": [728, 928, 804, 955], \"text\": \"TPG2 [GND]\"}, {\"box_2d\": [736, 84, 758, 104], \"text\": \"P4\"}, {\"box_2d\": [738, 612, 786, 626], \"text\": \"RC1\"}, {\"box_2d\": [752, 720, 766, 748], \"text\": \"ON\"}, {\"box_2d\": [772, 391, 834, 450], \"text\": \"CX104BB 50.000M TCY1121\"}, {\"box_2d\": [780, 471, 802, 493], \"text\": \"R2\"}, {\"box_2d\": [782, 674, 804, 683], \"text\": \"102\"}, {\"box_2d\": [790, 533, 802, 549], \"text\": \"102\"}, {\"box_2d\": [800, 136, 862, 175], \"text\": \"150 CFK. 0C7\"}, {\"box_2d\": [814, 59, 862, 71], \"text\": \"CN1\"}, {\"box_2d\": [824, 663, 846, 695], \"text\": \"RM2\"}, {\"box_2d\": [826, 720, 840, 779], \"text\": \"1 2 3 4\"}, {\"box_2d\": [830, 524, 852, 556], \"text\": \"RM5\"}, {\"box_2d\": [830, 809, 882, 926], \"text\": \"HUMANDATA XCM-019B\"}, {\"box_2d\": [834, 229, 868, 241], \"text\": \"L7\"}, {\"box_2d\": [834, 246, 868, 259], \"text\": \"L6\"}, {\"box_2d\": [834, 264, 868, 276], \"text\": \"L5\"}, {\"box_2d\": [834, 280, 868, 294], \"text\": \"L4\"}, {\"box_2d\": [834, 298, 868, 310], \"text\": \"L3\"}, {\"box_2d\": [834, 315, 868, 328], \"text\": \"L2\"}, {\"box_2d\": [834, 333, 868, 345], \"text\": \"L1\"}, {\"box_2d\": [834, 349, 868, 362], \"text\": \"L0\"}, {\"box_2d\": [836, 471, 858, 502], \"text\": \"R33\"}, {\"box_2d\": [842, 104, 872, 117], \"text\": \"C1\"}, {\"box_2d\": [856, 710, 878, 719], \"text\": \"1\"}, {\"box_2d\": [866, 584, 892, 625], \"text\": \"CNA\"}, {\"box_2d\": [876, 944, 898, 968], \"text\": \"99\"}, {\"box_2d\": [910, 4, 934, 15], \"text\": \"2\"}, {\"box_2d\": [954, 5, 978, 14], \"text\": \"1\"}]", "correct": false, "input_tokens": 1322, "output_tokens": 8859, "elapsed_seconds": 59.749798084027134, "metadata": {"question": "{\"question\": \"Locate and transcribe all visible text on the circuit board and its components.\", \"specification\": \"Use one box per distinct marking; join lines within the same marking with single spaces. Exclude logos and non-text symbols. Return plain text, not LaTeX.\\n\\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Do not include explanations or Markdown.\", \"task\": \"localization_recognition\"}", "sample_id": "033b64675b830643e0ab6fb88a63ecc42f9923c6435f90599f9f743ccf6bddac", "category": "localization_recognition", "subset": "6594bb1ef85ebb84", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "022dc2f67bf7ac89d094b5998d0078a0a1a5f50dd3efa628ba47a15c624c0b2d", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe all visible text on the circuit board and its components.\n\nUse one box per distinct marking; join lines within the same marking with single spaces. Exclude logos and non-text symbols. Return plain text, not LaTeX.\n\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Do not include explanations or Markdown.\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 0.7319, "status": "ok", "format_compliant": true, "detection_f1": 0.7829787234042553, "matched_regions": 86, "reference_regions": 121, "predicted_regions": 114, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 59.7696}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 491, "image": "image_92a5a9515e5595634fb36fad_jpg.rf.60a953729e45cf4e52296474c2e59b02.jpg", "expected": "[{\"bbox\":[940,68,996,111],\"text\":\"3,7\"},{\"bbox\":[21,145,80,188],\"text\":\"4,3\"},{\"bbox\":[567,924,596,956],\"text\":\"3\"}]", "predicted": "[{\"box_2d\": [58, 864, 94, 916], \"text\": \"3,7\"}, {\"box_2d\": [125, 19, 159, 73], \"text\": \"4,3\"}, {\"box_2d\": [807, 523, 833, 548], \"text\": \"3\"}]", "correct": true, "input_tokens": 1332, "output_tokens": 517, "elapsed_seconds": 9.032070458051749, "metadata": {"question": "{\"question\": \"Locate and transcribe all visible map labels, abbreviations and numbers.\", \"specification\": \"Use one box per label line, keeping spaced-out letters of the same label together. Include rotated and curved labels; enclose each curved line in one box. Transcribe only visible characters at image edges. Preserve historical spelling, diacritics and punctuation; do not expand abbreviations or modernize names. Return plain text, not LaTeX.\\n\\nUse tight, axis-aligned boxes. Return entries top-to-bottom, then left-to-right. Use null for a visible region whose text cannot be read, and [] when none are present. Return no explanations or Markdown.\", \"task\": \"localization_recognition\"}", "sample_id": "2bdc6c9cae75702c172b94aa63b76310744079f7e9752e8f0cb9490c3e484112", "category": "localization_recognition", "subset": "60ba2e315b54c16e", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "9ea931ad16de84af705fc66726dcebc3278f3d00c29d2148383accc42efb3547", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe all visible map labels, abbreviations and numbers.\n\nUse one box per label line, keeping spaced-out letters of the same label together. Include rotated and curved labels; enclose each curved line in one box. Transcribe only visible characters at image edges. Preserve historical spelling, diacritics and punctuation; do not expand abbreviations or modernize names. Return plain text, not LaTeX.\n\nUse tight, axis-aligned boxes. Return entries top-to-bottom, then left-to-right. Use null for a visible region whose text cannot be read, and [] when none are present. Return no explanations or Markdown.\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 1.0, "status": "ok", "format_compliant": true, "detection_f1": 1.0, "matched_regions": 3, "reference_regions": 3, "predicted_regions": 3, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 9.1045}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 492, "image": "image_b05581f77445c81796a25f3d_png_jpg.rf.87f92e48cd4c81471ab5e41f7d589ab4.jpg", "expected": "99009", "predicted": "09010", "correct": false, "input_tokens": 1152, "output_tokens": 2308, "elapsed_seconds": 29.20371016592253, "metadata": {"question": "{\"question\": \"Read the electricity meter reading indicated by the five dials in this image. Return only the five-digit reading, preserving leading zeros. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "759cb2cd8739f121e44dfa3dd977840042d0a35ac188ef8219824403345cb827", "category": "single_string", "subset": "65c332a8b2270f58", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "c18911a56d39ed6d59a59a535eb6ab6f7365ff475c91e4158c825d7b1ca8dd79", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the electricity meter reading indicated by the five dials in this image. Return only the five-digit reading, preserving leading zeros. Do not explain.", "match_method": "single_string", "score": 0.0, "status": "ok", "format_compliant": true, "attempts": 2, "retries": 1, "total_seconds": 91.9061, "transient_errors": ["RemoteProtocolError"]}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 493, "image": "image_a87b7942931e47bae5c65a02_jpg.rf.f976c6ba1947054f966e3e0067c6b36f.jpg", "expected": "195-30-1285\n2644", "predicted": "195-30-1285\n2644", "correct": true, "input_tokens": 1197, "output_tokens": 804, "elapsed_seconds": 11.552350999903865, "metadata": {"question": "{\"question\": \"Transcribe the engraved or stamped letters and numbers on the main foreground metal part. Read each marking in its own orientation; follow curved identifiers from their beginning and put a separate serial number on a new line. Order other lines top-to-bottom, left-to-right. Preserve case, punctuation and line breaks; exclude inspection logos, non-text symbols and clipped background markings. Do not infer missing characters. Use [illegible] for unreadable spans. Return only the transcription, without Markdown or explanations.\", \"task\": \"transcription\"}", "sample_id": "6ff97ea8a570fbd8fc625c3fa3f6c98db3ad52f2f74a99bd2e66d08933e86985", "category": "transcription", "subset": "b2eb7f0ca4b3cb11", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "4266ab9e915f196e273cc8fc68e7a6d7c5bedfeba45227906908f56c6143e53f", "text_protocol": "mixed-text-v2", "scoring_profile": "transcription", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Transcribe the engraved or stamped letters and numbers on the main foreground metal part. Read each marking in its own orientation; follow curved identifiers from their beginning and put a separate serial number on a new line. Order other lines top-to-bottom, left-to-right. Preserve case, punctuation and line breaks; exclude inspection logos, non-text symbols and clipped background markings. Do not infer missing characters. Use [illegible] for unreadable spans. Return only the transcription, without Markdown or explanations.", "match_method": "transcription", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 11.6103}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 494, "image": "image_42d58e98ec27e699ae1d5114_jpg.rf.99d0d153de8752e8c0d8a82d652460d1.jpg", "expected": "{\"invoice_number\":\"411\",\"date\":\"30/09/025\",\"customer_name\":\"Smt Rani\",\"items\":[{\"medicine\":\"ERest beta 0.25\",\"quantity\":\"10 tb\",\"batch_number\":\"CTV01ABA\",\"expiration_date\":\"11/27\",\"amount\":\"58\"},{\"medicine\":\"Health OK\",\"quantity\":\"10 tb\",\"batch_number\":\"SJA1X093\",\"expiration_date\":\"10/26\",\"amount\":\"110\"},{\"medicine\":\"Tramadin Plus\",\"quantity\":\"10 tb\",\"batch_number\":\"CHSX01\",\"expiration_date\":\"4/27\",\"amount\":\"93\"},{\"medicine\":\"Pantakind DSR\",\"quantity\":\"10 tb\",\"batch_number\":\"FGAGX014\",\"expiration_date\":\"4/27\",\"amount\":\"120\"}],\"total\":\"342\"}", "predicted": "{\n \"invoice_number\": \"411\",\n \"date\": \"30/09/025\",\n \"customer_name\": \"Smt Rani\",\n \"items\": [\n {\n \"medicine\": \"ERest beta 0.25\",\n \"quantity\": \"10TS\",\n \"batch_number\": \"CHW01ABA\",\n \"expiration_date\": \"1/27\",\n \"amount\": \"58\"\n },\n {\n \"medicine\": \"Health ok\",\n \"quantity\": \"10TS\",\n \"batch_number\": \"STA1X093\",\n \"expiration_date\": \"10/26\",\n \"amount\": \"110\"\n },\n {\n \"medicine\": \"Tramadin Plus\",\n \"quantity\": \"10TS\",\n \"batch_number\": \"CHSY01\",\n \"expiration_date\": \"4/27\",\n \"amount\": \"93\"\n },\n {\n \"medicine\": \"Pantakind- DSR\",\n \"quantity\": \"10TS\",\n \"batch_number\": \"F6AGX014\",\n \"expiration_date\": \"4/27\",\n \"amount\": \"120\"\n }\n ],\n \"total\": \"342\"\n}", "correct": false, "input_tokens": 1307, "output_tokens": 2213, "elapsed_seconds": 37.74821962497663, "metadata": {"question": "{\"question\": \"Extract the information from this pharmacy bill. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"invoice_number\\\": null,\\n \\\"date\\\": null,\\n \\\"customer_name\\\": null,\\n \\\"items\\\": [\\n {\\n \\\"medicine\\\": null,\\n \\\"quantity\\\": null,\\n \\\"batch_number\\\": null,\\n \\\"expiration_date\\\": null,\\n \\\"amount\\\": null\\n }\\n ],\\n \\\"total\\\": null\\n}\\n\\nReturn one item per medicine row in reading order. Preserve quantity units. Separate batch numbers from expiration dates. amount is the row amount, not the unit price; total is the final payable amount. Do not calculate amounts. If there are no medicine rows, return an empty items array.\\n\\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "9ac480850dd9c475eeced33f6964bbbece5fcac6f2b2194290b5a42374dff16e", "category": "structured", "subset": "05ecf6bf05f5c67d", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "ae0ff6da410ae593f4a0845f1df972e2a5b527e031f303e44669a441d7255883", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information from this pharmacy bill. Return only a valid JSON object with these fields:\n\n{\n \"invoice_number\": null,\n \"date\": null,\n \"customer_name\": null,\n \"items\": [\n {\n \"medicine\": null,\n \"quantity\": null,\n \"batch_number\": null,\n \"expiration_date\": null,\n \"amount\": null\n }\n ],\n \"total\": null\n}\n\nReturn one item per medicine row in reading order. Preserve quantity units. Separate batch numbers from expiration dates. amount is the row amount, not the unit price; total is the final payable amount. Do not calculate amounts. If there are no medicine rows, return an empty items array.\n\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 0.5417, "status": "ok", "format_compliant": true, "matched_fields": 13, "reference_fields": 24, "predicted_fields": 24, "non_null_field_accuracy": 0.5416666666666666, "object_exact_match": false, "attempts": 1, "retries": 0, "total_seconds": 38.7834}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 495, "image": "image_49a3df5f8f514b74cc98149f_jpg.rf.e11185f6545468cc127927499c6d7b1a.jpg", "expected": "07530", "predicted": "07530", "correct": true, "input_tokens": 1146, "output_tokens": 169, "elapsed_seconds": 5.549897541990504, "metadata": {"question": "{\"question\": \"Read the electricity meter reading visible in this image. Return only the reading as a string of digits. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "be94ce987657318210fa842384bb24a6cd6ee072058c19dd3d8e999733e91f77", "category": "single_string", "subset": "3a0d0e0892a8fc95", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "722231b5826f42adbeaff34aa14506ffb5a323db4ba98811e3fe82968611da06", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the electricity meter reading visible in this image. Return only the reading as a string of digits. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 5.6306}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 496, "image": "image_76c7c4d7d9b242559b9384c1_jpg.rf.09355d30012aaa9212f8e12fba88f10b.jpg", "expected": "250203", "predicted": "250203", "correct": true, "input_tokens": 1143, "output_tokens": 1340, "elapsed_seconds": 19.36564324994106, "metadata": {"question": "{\"question\": \"Read the six-digit code engraved on the metal surface. Return only the code as a string of digits, preserving leading zeros. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "dca87da61f6a3f5dd69a9a441cc7e5d9e6afc219f357dac68abbd299e71f83ce", "category": "single_string", "subset": "f2a87f15a0d3eb96", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "45a1af1d53de10fff5c2c9871f8532ea0df5f76adfbad0c4e25e5f3e81613f8c", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the six-digit code engraved on the metal surface. Return only the code as a string of digits, preserving leading zeros. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 19.3763}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 497, "image": "image_187781a02299caff507a557e_jpg.rf.00ac562bbe6f2296e5a2b942b98a79f5.jpg", "expected": "{\"recipient_name\":\"\u5c71\u4e0a\u8a69\u7a42\",\"recipient_furigana\":\"\u30e4\u30de\u30ab\u30df\u30b7\u30aa\",\"recipient_address\":\"\u611b\u77e5\u770c\u540d\u53e4\u5c4b\u5e02\u897f\u533a\u540d\u99c52\u4e01\u76ee16-9\u30d7\u30ec\u30b5\u30f3\u30b9\u540d\u53e4\u5c4bSTATION\u30d3\u30b8\u30e5 1505\",\"recipient_position\":null,\"salary_payment_amount\":\"7,000,000\",\"income_after_salary_deduction\":\"5,100,000\",\"total_income_deductions\":\"220,000\",\"withholding_tax\":\"194,500\",\"payer_name\":\"\u682a\u5f0f\u4f1a\u793e\u30a2\u30bb\u30c3\u30c8\u30b8\u30e3\u30d1\u30f3\",\"payer_address\":\"\u611b\u77e5\u770c\u540d\u53e4\u5c4b\u5e02\u4e2d\u533a\u68042-2-23\u30a2\u30fc\u30af\u767d\u5ddd\u516c\u5712\u30d3\u30eb7F\",\"payer_phone\":\"052-990-2645\"}", "predicted": "{\n \"recipient_name\": \"\u5c71\u4e0a\u8a69\u7a42\",\n \"recipient_furigana\": \"\u30e4\u30de\u30ab\u30df\u30b7\u30db\",\n \"recipient_address\": \"\u611b\u77e5\u770c\u540d\u53e4\u5c4b\u5e02\u897f\u533a\u540d\u99c52\u4e01\u76ee16-9\u30d7\u30ec\u30b5\u30f3\u30b9\u540d\u53e4\u5c4bSTATION\u30d3\u30b8\u30e5 1505\",\n \"recipient_position\": null,\n \"salary_payment_amount\": \"7,000,000\",\n \"income_after_salary_deduction\": \"5,100,000\",\n \"total_income_deductions\": \"220,000\",\n \"withholding_tax\": \"194,500\",\n \"payer_name\": \"\u682a\u5f0f\u4f1a\u793e\u30a2\u30bb\u30c3\u30c8\u30b8\u30e3\u30d1\u30f3\",\n \"payer_address\": \"\u611b\u77e5\u770c\u540d\u53e4\u5c4b\u5e02\u4e2d\u533a\u68042-2-23\u30a2\u30fc\u30af\u767d\u5ddd\u516c\u5712\u30d3\u30eb7F\",\n \"payer_phone\": \"052-990-2645\"\n}", "correct": false, "input_tokens": 1418, "output_tokens": 3409, "elapsed_seconds": 45.25486758293118, "metadata": {"question": "{\"question\": \"Extract these fields from the Japanese salary withholding certificate. Return only a valid JSON object with this structure:\\n\\n{\\n \\\"recipient_name\\\": null,\\n \\\"recipient_furigana\\\": null,\\n \\\"recipient_address\\\": null,\\n \\\"recipient_position\\\": null,\\n \\\"salary_payment_amount\\\": null,\\n \\\"income_after_salary_deduction\\\": null,\\n \\\"total_income_deductions\\\": null,\\n \\\"withholding_tax\\\": null,\\n \\\"payer_name\\\": null,\\n \\\"payer_address\\\": null,\\n \\\"payer_phone\\\": null\\n}\\n\\nRecipient fields come from \u652f\u6255\u3092\u53d7\u3051\u308b\u8005; payer fields come from \u652f\u6255\u8005. Map amounts to \u652f\u6255\u91d1\u984d, \u7d66\u4e0e\u6240\u5f97\u63a7\u9664\u5f8c\u306e\u91d1\u984d, \u6240\u5f97\u63a7\u9664\u306e\u984d\u306e\u5408\u8a08\u984d and \u6e90\u6cc9\u5fb4\u53ce\u7a0e\u984d respectively. Join digits across adjacent boxes; omit printed currency/unit headings, preserving visible numeric separators. Copy furigana exactly even if it differs from the name; do not repair inconsistent entries.\\n\\nIgnore typographic spacing inside Japanese names, words and digit strings; join wrapped Japanese text without adding spaces. Use ASCII digits; preserve actual punctuation. Preserve other text as written. Do not infer missing information or translate. Use strings for extracted values and null for missing or unreadable fields. Include every key. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "bade0b534b3b31b735589a8db9298d0aa025d15345b6578fad077a908b28e1eb", "category": "structured", "subset": "7536d2f054eb9bde", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "802330550adb5e2dbf153be62450494d52825496546eab2b27af0bd5d2465b5b", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract these fields from the Japanese salary withholding certificate. Return only a valid JSON object with this structure:\n\n{\n \"recipient_name\": null,\n \"recipient_furigana\": null,\n \"recipient_address\": null,\n \"recipient_position\": null,\n \"salary_payment_amount\": null,\n \"income_after_salary_deduction\": null,\n \"total_income_deductions\": null,\n \"withholding_tax\": null,\n \"payer_name\": null,\n \"payer_address\": null,\n \"payer_phone\": null\n}\n\nRecipient fields come from \u652f\u6255\u3092\u53d7\u3051\u308b\u8005; payer fields come from \u652f\u6255\u8005. Map amounts to \u652f\u6255\u91d1\u984d, \u7d66\u4e0e\u6240\u5f97\u63a7\u9664\u5f8c\u306e\u91d1\u984d, \u6240\u5f97\u63a7\u9664\u306e\u984d\u306e\u5408\u8a08\u984d and \u6e90\u6cc9\u5fb4\u53ce\u7a0e\u984d respectively. Join digits across adjacent boxes; omit printed currency/unit headings, preserving visible numeric separators. Copy furigana exactly even if it differs from the name; do not repair inconsistent entries.\n\nIgnore typographic spacing inside Japanese names, words and digit strings; join wrapped Japanese text without adding spaces. Use ASCII digits; preserve actual punctuation. Preserve other text as written. Do not infer missing information or translate. Use strings for extracted values and null for missing or unreadable fields. Include every key. Do not include explanations or Markdown.", "match_method": "structured", "score": 0.9091, "status": "ok", "format_compliant": true, "matched_fields": 10, "reference_fields": 11, "predicted_fields": 11, "non_null_field_accuracy": 0.9, "object_exact_match": false, "attempts": 2, "retries": 1, "total_seconds": 108.3184, "transient_errors": ["RemoteProtocolError"]}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 498, "image": "image_54d1c46c1887b049fb5adce0_jpg.rf.ee4f31512b4d2b728befd9d6c5223a69.jpg", "expected": "N C", "predicted": "N C", "correct": true, "input_tokens": 1154, "output_tokens": 1635, "elapsed_seconds": 27.126951416954398, "metadata": {"question": "{\"question\": \"Read the letters and numbers imprinted on the pill in this image. Return only the text, preserving capitalization and separating lines with a single space. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "3e86afe22ec17e1f69ac1ad839be76f5572465504579a730e827fd39f521f33a", "category": "single_string", "subset": "5c725e357739b9ce", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "77cd815534dcd7a927d83999e104d1a813f889c86a187334b3b19628a17e45f3", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the letters and numbers imprinted on the pill in this image. Return only the text, preserving capitalization and separating lines with a single space. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 27.144}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 499, "image": "image_8417c41a8ea005d82e536efd_jpg.rf.8d859cc657e4d0ccf1037f7dcf966d8f.jpg", "expected": "{\"carrier\":\"FedEx\",\"tracking_number\":\"788500420243\",\"sender_name\":\"Shipping Department Wayfair Inc. (Drop Ship)\",\"sender_address\":\"7 Sunset Way Suites 150 Henderson NV 89014 US\",\"recipient_name\":\"Mary Sawyer\",\"recipient_address\":\"22715 County Road 121 Bullard TX 75757 (US)\",\"shipping_service\":\"Home Delivery\",\"weight\":\"49.80 LB\"}", "predicted": "{\n \"carrier\": \"FedEx\",\n \"tracking_number\": \"788500420243\",\n \"sender_name\": \"Shipping Department Wayfair Inc. (Drop Ship)\",\n \"sender_address\": \"7 Sunset Way Suites 150 Henderson NV 89014 US\",\n \"recipient_name\": \"Mary Sawyer\",\n \"recipient_address\": \"22715 County Road 121 Bullard TX 75757 (US)\",\n \"shipping_service\": \"Home Delivery\",\n \"weight\": \"49.80 LB\"\n}", "correct": true, "input_tokens": 1366, "output_tokens": 1653, "elapsed_seconds": 18.618348792078905, "metadata": {"question": "{\"question\": \"Extract the information printed on this shipping label. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"carrier\\\": null,\\n \\\"tracking_number\\\": null,\\n \\\"sender_name\\\": null,\\n \\\"sender_address\\\": null,\\n \\\"recipient_name\\\": null,\\n \\\"recipient_address\\\": null,\\n \\\"shipping_service\\\": null,\\n \\\"weight\\\": null\\n}\\n\\nIgnore accompanying paperwork. Keep company and department lines in names, not addresses; exclude phone numbers. Return tracking_number without spaces (e.g., \u201c7885 0040 8757\u201d \u2192 \u201c788500408757\u201d). Omit the carrier from shipping_service (e.g., \u201cFedEx Home Delivery\u201d \u2192 \u201cHome Delivery\u201d). Retain weight units and printed country information in addresses.\\n\\nPreserve all other text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "36855ab92bcd8d95e141073310c2cc68736a4082e2f4630068ee9e829ac377df", "category": "structured", "subset": "ccd97de2b96725a9", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "60af5f9bb4c6612a26a70578149d74e6c9bab16487e4680d5878b7c5208f4855", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on this shipping label. Return only a valid JSON object with these fields:\n\n{\n \"carrier\": null,\n \"tracking_number\": null,\n \"sender_name\": null,\n \"sender_address\": null,\n \"recipient_name\": null,\n \"recipient_address\": null,\n \"shipping_service\": null,\n \"weight\": null\n}\n\nIgnore accompanying paperwork. Keep company and department lines in names, not addresses; exclude phone numbers. Return tracking_number without spaces (e.g., \u201c7885 0040 8757\u201d \u2192 \u201c788500408757\u201d). Omit the carrier from shipping_service (e.g., \u201cFedEx Home Delivery\u201d \u2192 \u201cHome Delivery\u201d). Retain weight units and printed country information in addresses.\n\nPreserve all other text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 8, "reference_fields": 8, "predicted_fields": 8, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 18.6443}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 500, "image": "image_a8dec3a56e43be12c063e27b_jpg.rf.554b8b6682c11787978fa7a8d6f24f4e.jpg", "expected": "SU-BMQ", "predicted": "SU-BMQ", "correct": true, "input_tokens": 1160, "output_tokens": 2150, "elapsed_seconds": 32.213704250054434, "metadata": {"question": "{\"question\": \"Read the aircraft registration number visible in this image. Return only the registration, preserving letters, digits, and hyphens. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "97c4614ad2497e14b4fd7cfa26f5c542f217575d1f74d6d369531af5a1637e73", "category": "single_string", "subset": "933cf5fad9e7f564", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "d849963c2a69efb0c9424ec94ac17d0ec12933477be21e7dc02b43585f3ec36b", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the aircraft registration number visible in this image. Return only the registration, preserving letters, digits, and hyphens. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 32.2312}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 501, "image": "image_588d2811d5f128c38fee0cf2_jpg.rf.042216b433bfe587d6866fc4438dd449.jpg", "expected": "2022.12.15", "predicted": "2022.12.15", "correct": true, "input_tokens": 1140, "output_tokens": 658, "elapsed_seconds": 13.294594792067073, "metadata": {"question": "{\"question\": \"Read the expiration date printed on the product in this image. Return only the date exactly as printed, preserving separators and written month names. Exclude prefixes such as \u201cEXP\u201d or \u201cBest Before\u201d. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "5682c9bd49fc77a51299f39a21fa641c20dbce6c2c9b5367835d29bcac9811f0", "category": "single_string", "subset": "6a08778bfde26392", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "3534ca92d6b1b6870f8df5ec5bc16d0f7cf9fa6a7820999a7a6a7c951c914168", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the expiration date printed on the product in this image. Return only the date exactly as printed, preserving separators and written month names. Exclude prefixes such as \u201cEXP\u201d or \u201cBest Before\u201d. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 13.373}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 502, "image": "image_8677d1b093e9f1691a1aa361_jpg.rf.7ff42690d468b3dffb2a45fe341ab5c6.jpg", "expected": "{\"player_name\":\"FAEDO/HRBEK/LAUDNER\",\"card_number\":\"766\",\"year\":\"1982\",\"set_name\":\"TOPPS\",\"variety\":\"TWINS FUTURE STARS\",\"grade\":\"7\",\"grade_description\":\"NM\",\"qualifier\":null,\"certification_number\":\"48267036\"}", "predicted": "{\n \"player_name\": \"FAEDO/HRBEK/LAUDNER\",\n \"card_number\": \"766\",\n \"year\": \"1982\",\n \"set_name\": \"TOPPS\",\n \"variety\": \"TWINS FUTURE STARS\",\n \"grade\": \"7\",\n \"grade_description\": \"NM\",\n \"qualifier\": null,\n \"certification_number\": \"48267036\"\n}", "correct": true, "input_tokens": 1419, "output_tokens": 882, "elapsed_seconds": 11.265385499922559, "metadata": {"question": "{\"question\": \"Extract the information printed on this PSA-graded sports card and its holder. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"player_name\\\": null,\\n \\\"card_number\\\": null,\\n \\\"year\\\": null,\\n \\\"set_name\\\": null,\\n \\\"variety\\\": null,\\n \\\"grade\\\": null,\\n \\\"grade_description\\\": null,\\n \\\"qualifier\\\": null,\\n \\\"certification_number\\\": null\\n}\\n\\nPrefer the holder label; use the card only for missing player names and card numbers. Use its set heading without the year or card number as set_name; put separate team, subset and variation text in variety, excluding authentication notices. Keep only player names in player_name. Preserve printed years or seasons.\\n\\nReturn the numeric grade, including decimals (e.g., \u201cEX-MT+ 6.5\u201d \u2192 \u201c6.5\u201d), its wording in grade_description, and condition qualifiers in qualifier (e.g., \u201c8 (OC)\u201d \u2192 \u201cOC\u201d). Omit #, spaces and set totals from card_number. Use the PSA certificate ID for certification_number.\\n\\nNormalize dashes to - without surrounding spaces and remove spaces before + (e.g., \u201cNM \u2013 MT +\u201d \u2192 \u201cNM-MT+\u201d). Preserve all other text and capitalization as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nInclude every key. Use strings for extracted values and null for missing fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "2bb70edcc5e18ea92ec95e55cb27ef09a76efcb75a829d90df33ff7e5e5d7f99", "category": "structured", "subset": "ae86443b5fadcab9", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "91be0fc88d2281c3da36663b1caf1c61d11599f8e74553de87ac3d2982323200", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on this PSA-graded sports card and its holder. Return only a valid JSON object with these fields:\n\n{\n \"player_name\": null,\n \"card_number\": null,\n \"year\": null,\n \"set_name\": null,\n \"variety\": null,\n \"grade\": null,\n \"grade_description\": null,\n \"qualifier\": null,\n \"certification_number\": null\n}\n\nPrefer the holder label; use the card only for missing player names and card numbers. Use its set heading without the year or card number as set_name; put separate team, subset and variation text in variety, excluding authentication notices. Keep only player names in player_name. Preserve printed years or seasons.\n\nReturn the numeric grade, including decimals (e.g., \u201cEX-MT+ 6.5\u201d \u2192 \u201c6.5\u201d), its wording in grade_description, and condition qualifiers in qualifier (e.g., \u201c8 (OC)\u201d \u2192 \u201cOC\u201d). Omit #, spaces and set totals from card_number. Use the PSA certificate ID for certification_number.\n\nNormalize dashes to - without surrounding spaces and remove spaces before + (e.g., \u201cNM \u2013 MT +\u201d \u2192 \u201cNM-MT+\u201d). Preserve all other text and capitalization as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nInclude every key. Use strings for extracted values and null for missing fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 9, "reference_fields": 9, "predicted_fields": 9, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 11.3537}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 503, "image": "image_9607f3159de2433c32aa7290_jpg.rf.b31acd44f5cba0fe9df5e0a24dbb77b1.jpg", "expected": "OO-GFD", "predicted": "OO-GFD", "correct": true, "input_tokens": 1140, "output_tokens": 208, "elapsed_seconds": 5.203670834074728, "metadata": {"question": "{\"question\": \"Read the aircraft registration number visible in this image. Return only the registration, preserving letters, digits, and hyphens. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "d0023cba4f219775220dcbb8def753d72c71fc3d03b00facbcb58e81d5041a66", "category": "single_string", "subset": "933cf5fad9e7f564", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "f8e5198e885e623e7055ab4f62382b073a5b0e3b116f2bf853cad461817ddd72", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the aircraft registration number visible in this image. Return only the registration, preserving letters, digits, and hyphens. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 5.2224}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 504, "image": "image_8999afa740fef6173f1cbe3f_jpg.rf.f050db4eac9a447e5d016ed486877579.jpg", "expected": "245/70R19.5", "predicted": "245/70R19.5", "correct": true, "input_tokens": 1250, "output_tokens": 1946, "elapsed_seconds": 30.834374083089642, "metadata": {"question": "{\"question\": \"Read the tire size molded into the visible sidewall, such as 315/80R22.5 or 12R22.5. Return only the size text, removing spaces and preserving letters, digits, slashes and decimal points. Exclude the adjacent load index, speed rating, brand, model, DOT code and pressure or load measurements. If multiple size markings are visible, choose the one with the largest text; break ties left-to-right. Return null if the complete size is absent, cropped or unreadable. Do not include explanations or Markdown.\", \"task\": \"single_string\"}", "sample_id": "20e74fef32f0817db7f28375b354c4cd566da678bde1989947781b8b809b4b37", "category": "single_string", "subset": "aad8c1d2eecc1e5d", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "60028d225c4b98d3ce5638651f5b7d03795a5391482289130b7b1bcaae0a89ea", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the tire size molded into the visible sidewall, such as 315/80R22.5 or 12R22.5. Return only the size text, removing spaces and preserving letters, digits, slashes and decimal points. Exclude the adjacent load index, speed rating, brand, model, DOT code and pressure or load measurements. If multiple size markings are visible, choose the one with the largest text; break ties left-to-right. Return null if the complete size is absent, cropped or unreadable. Do not include explanations or Markdown.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 31.1399}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 505, "image": "image_0c7c8ef74d1a88203c306d47_jpg.rf.75df00ae3cabddca593bad499575aed6.jpg", "expected": "1:34", "predicted": "1:34", "correct": true, "input_tokens": 1198, "output_tokens": 1022, "elapsed_seconds": 16.667497624992393, "metadata": {"question": "{\"question\": \"Read the illuminated value in the largest numeric readout on this treadmill display. If equally large readouts are present, choose the topmost, then leftmost. Preserve leading zeros and visible decimal points or colons between digits. Ignore unlit segments, isolated indicator lights and smaller secondary readouts. Do not infer units or reformat the value as time. Return only the displayed value, or null if incomplete or unreadable. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "94a1907e6b2967d35eb187735555956782af4482f3295fa05c66d533c4e787b7", "category": "single_string", "subset": "6320a2ab21674c00", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "4cf0c63b050b5e26cf8bee2252e87a314baa1d550c9623b851e392bf1ae31eb3", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the illuminated value in the largest numeric readout on this treadmill display. If equally large readouts are present, choose the topmost, then leftmost. Preserve leading zeros and visible decimal points or colons between digits. Ignore unlit segments, isolated indicator lights and smaller secondary readouts. Do not infer units or reformat the value as time. Return only the displayed value, or null if incomplete or unreadable. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 16.7225}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 506, "image": "image_14de54c1ae1f58425d9820cc_jpg.rf.fec371795b3e2f5b97630cf1da826469.jpg", "expected": "3:04", "predicted": "3:04", "correct": true, "input_tokens": 1220, "output_tokens": 1340, "elapsed_seconds": 17.78763687494211, "metadata": {"question": "{\"question\": \"Read the illuminated value in the largest numeric readout on this treadmill display. If equally large readouts are present, choose the topmost, then leftmost. Preserve leading zeros and visible decimal points or colons between digits. Ignore unlit segments, isolated indicator lights and smaller secondary readouts. Do not infer units or reformat the value as time. Return only the displayed value, or null if incomplete or unreadable. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "d69dc2f80da32e8894219aeeea2ad94087036cfbf8e66ba6ccb4e78828d2c262", "category": "single_string", "subset": "6320a2ab21674c00", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "e50dd52445f5121d7d0714e976e474405d6216d898e66e31ed53f087ef23c38d", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the illuminated value in the largest numeric readout on this treadmill display. If equally large readouts are present, choose the topmost, then leftmost. Preserve leading zeros and visible decimal points or colons between digits. Ignore unlit segments, isolated indicator lights and smaller secondary readouts. Do not infer units or reformat the value as time. Return only the displayed value, or null if incomplete or unreadable. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 17.8113}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 507, "image": "image_0d06a46e32d7dfea49da974a_jpg.rf.43e52286caf599a46e341fb23c718b72.jpg", "expected": "[{\"bbox\":[2432,707,2613,768],\"text\":\"14\u00b015' \u00b10\u00b030'\"},{\"bbox\":[2041,845,2098,873],\"text\":\"5.0\"},{\"bbox\":[1802,846,1902,876],\"text\":\"20.00\"},{\"bbox\":[2522,848,2554,974],\"text\":\"\u00d815.00\"},{\"bbox\":[1577,851,1627,1019],\"text\":\"\u00d811.4 +0.2 0\"},{\"bbox\":[1042,881,1138,977],\"text\":\"\u00d822.00\"},{\"bbox\":[1498,884,1548,1012],\"text\":\"\u00d814 0 -0.1\"},{\"bbox\":[2169,894,2261,923],\"text\":\"1X45\u00b0\"},{\"bbox\":[2599,1047,2630,1171],\"text\":\"\u00d819.00\"},{\"bbox\":[1605,1273,1694,1304],\"text\":\"1X45\u00b0\"},{\"bbox\":[1883,1320,1960,1352],\"text\":\"35.0\"},{\"bbox\":[907,1367,1000,1395],\"text\":\"19.00\"},{\"bbox\":[2020,1376,2122,1406],\"text\":\"59.50\"}]", "predicted": "[{\"box_2d\": [286, 692, 311, 745], \"text\": \"14\u00b015' \u00b10\u00b030'\"}, {\"box_2d\": [340, 512, 353, 542], \"text\": \"20.00\"}, {\"box_2d\": [340, 580, 353, 599], \"text\": \"5.0\"}, {\"box_2d\": [342, 449, 411, 464], \"text\": \"\u00d811.4 +0.2 0\"}, {\"box_2d\": [342, 718, 392, 728], \"text\": \"\u00d815.00\"}, {\"box_2d\": [354, 297, 395, 326], \"text\": \"\u00d822.00\"}, {\"box_2d\": [358, 427, 408, 442], \"text\": \"\u00d814 0 -0.1\"}, {\"box_2d\": [359, 618, 372, 643], \"text\": \"1X45\u00b0\"}, {\"box_2d\": [422, 741, 471, 750], \"text\": \"\u00d819.00\"}, {\"box_2d\": [513, 458, 526, 483], \"text\": \"1X45\u00b0\"}, {\"box_2d\": [532, 535, 544, 560], \"text\": \"35.0\"}, {\"box_2d\": [549, 257, 563, 286], \"text\": \"19.00\"}, {\"box_2d\": [554, 575, 566, 605], \"text\": \"59.50\"}]", "correct": true, "input_tokens": 1364, "output_tokens": 2174, "elapsed_seconds": 22.59530987497419, "metadata": {"question": "{\"question\": \"Locate and transcribe all dimension annotations in this technical drawing.\", \"specification\": \"Use one tight, axis-aligned bounding box per dimension annotation, enclosing its text rather than the dimension lines or arrows. Include rotated annotations. Keep tolerances and stacked values with their associated dimension.\\n\\n\\n\\nPreserve each dimension as printed, including decimal separators, units, symbols, and tolerances. Join line breaks within an annotation with spaces. Do not calculate dimensions from the drawing or infer missing characters. Exclude titles, notes, part numbers, and other text that is not a dimension annotation. If an annotation is visible but cannot be transcribed, use null for its text.\\n\\nReturn entries in top-to-bottom, then left-to-right order. If no dimension annotations are visible, return []. Do not include explanations or Markdown.\", \"task\": \"localization_recognition\"}", "sample_id": "f159f069ebf8628ad4c28f39726428f9cbc90ec2ca91cd0dd2a23a55536e82c5", "category": "localization_recognition", "subset": "066a130d25134fbf", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "ba948f4d0fc475eecb82b65a733bac44f8d61abcef5a0345a972a6c688194ddf", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe all dimension annotations in this technical drawing.\n\nUse one tight, axis-aligned bounding box per dimension annotation, enclosing its text rather than the dimension lines or arrows. Include rotated annotations. Keep tolerances and stacked values with their associated dimension.\n\n\n\nPreserve each dimension as printed, including decimal separators, units, symbols, and tolerances. Join line breaks within an annotation with spaces. Do not calculate dimensions from the drawing or infer missing characters. Exclude titles, notes, part numbers, and other text that is not a dimension annotation. If an annotation is visible but cannot be transcribed, use null for its text.\n\nReturn entries in top-to-bottom, then left-to-right order. If no dimension annotations are visible, return []. Do not include explanations or Markdown.\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 1.0, "status": "ok", "format_compliant": true, "detection_f1": 1.0, "matched_regions": 13, "reference_regions": 13, "predicted_regions": 13, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 22.671}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 508, "image": "image_5867946745ab8f261d6293c3_jpg.rf.f79b1670c92b21273cfb18ded3e1794c.jpg", "expected": "215/75R17.5", "predicted": "215/75R17.5", "correct": true, "input_tokens": 1214, "output_tokens": 520, "elapsed_seconds": 46.01442720799241, "metadata": {"question": "{\"question\": \"Read the tire size molded into the visible sidewall, such as 315/80R22.5 or 12R22.5. Return only the size text, removing spaces and preserving letters, digits, slashes and decimal points. Exclude the adjacent load index, speed rating, brand, model, DOT code and pressure or load measurements. If multiple size markings are visible, choose the one with the largest text; break ties left-to-right. Return null if the complete size is absent, cropped or unreadable. Do not include explanations or Markdown.\", \"task\": \"single_string\"}", "sample_id": "62a0dd3a998a7a8164af0e14e716ccb229c817f7aa04c423443e223a6d13a906", "category": "single_string", "subset": "aad8c1d2eecc1e5d", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "99f90e0aa16a0046c33bd405b907db5d6badb8dd969c385946184d89832ea4d1", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the tire size molded into the visible sidewall, such as 315/80R22.5 or 12R22.5. Return only the size text, removing spaces and preserving letters, digits, slashes and decimal points. Exclude the adjacent load index, speed rating, brand, model, DOT code and pressure or load measurements. If multiple size markings are visible, choose the one with the largest text; break ties left-to-right. Return null if the complete size is absent, cropped or unreadable. Do not include explanations or Markdown.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 46.0935}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 509, "image": "image_128ebb6a2a519ae7d4a2642e_jpg.rf.f02e6ad1a0cff2260d59bbb54a33ef08.jpg", "expected": "{\"route_number\":\"166\",\"bus_number\":\"7-3083\",\"destination_sign\":\"\u0e1b\u0e32\u0e01\u0e40\u0e01\u0e23\u0e47\u0e14 PAKKRET \u0e40\u0e21\u0e37\u0e2d\u0e07\u0e17\u0e2d\u0e07\u0e18\u0e32\u0e19\u0e35 MUANG THONG TANI\",\"license_plate\":\"12-2817\"}", "predicted": "{\n \"route_number\": \"166\",\n \"bus_number\": \"7-3083\",\n \"destination_sign\": \"\u0e1b\u0e32\u0e01\u0e40\u0e01\u0e23\u0e47\u0e14 PAKKRET \u0e40\u0e21\u0e37\u0e2d\u0e07\u0e17\u0e2d\u0e07\u0e18\u0e32\u0e19\u0e35 MUANG THONG TANI\",\n \"license_plate\": \"12-2817\"\n}", "correct": true, "input_tokens": 1209, "output_tokens": 1373, "elapsed_seconds": 24.485306249931455, "metadata": {"question": "{\"question\": \"Extract the information printed on the main bus in this image. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"route_number\\\": null,\\n \\\"bus_number\\\": null,\\n \\\"destination_sign\\\": null,\\n \\\"license_plate\\\": null\\n}\\n\\nPreserve the text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "321597c6725281c8b186fa3cf7f99bf567bdba0bfe744d8e9c1e61a5c07a1b5b", "category": "structured", "subset": "477b707cebbcd6df", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "62baac53a7a4d752e107f795160154871a2b12c115e02edd656c90c6628dcd57", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on the main bus in this image. Return only a valid JSON object with these fields:\n\n{\n \"route_number\": null,\n \"bus_number\": null,\n \"destination_sign\": null,\n \"license_plate\": null\n}\n\nPreserve the text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 4, "reference_fields": 4, "predicted_fields": 4, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 24.9822}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 510, "image": "image_84322554e15ff7e6e1cb11d4_jpg.rf.4702cf6b8268b8c3d2a1147ffc2355e1.jpg", "expected": "34770", "predicted": "34770", "correct": true, "input_tokens": 1146, "output_tokens": 259, "elapsed_seconds": 5.820299457991496, "metadata": {"question": "{\"question\": \"Read the electricity meter reading visible in this image. Return only the reading as a string of digits. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "5ed822b1facd522d7600dcc94e7518d70bd639707dc0e451f5e488803e041c8d", "category": "single_string", "subset": "3a0d0e0892a8fc95", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "40f7dd2e868db8c7f6bec1d4b9e6186097f559dd77dc17eabda4e596f0ad25a1", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the electricity meter reading visible in this image. Return only the reading as a string of digits. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 5.8847}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 511, "image": "image_03aaa81cc6edb3047c5e2fef_jpg.rf.226c1c552a1e2bfb2e2e863face8553a.jpg", "expected": "{\"heat_number\":\"A78468\",\"billet_id\":\"1051\"}", "predicted": "{\n \"heat_number\": \"A78468\",\n \"billet_id\": \"1051\"\n}", "correct": true, "input_tokens": 1241, "output_tokens": 290, "elapsed_seconds": 4.95793012494687, "metadata": {"question": "{\"question\": \"Extract the information printed on the end of this metal billet. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"heat_number\\\": null,\\n \\\"billet_id\\\": null\\n}\\n\\nUse the letter-prefixed code for heat_number and the separate shorter numeric code for billet_id. Preserve leading zeros and omit spaces within codes.\\n\\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "19c945d09685377c38dca978dc2588f4148b7324083fbba310fbbb003171064f", "category": "structured", "subset": "84ce444ef86dc04d", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "32ea4a78dc4866b0628bad80339ad30a5662040342c1b5255e13840d80e3f27c", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on the end of this metal billet. Return only a valid JSON object with these fields:\n\n{\n \"heat_number\": null,\n \"billet_id\": null\n}\n\nUse the letter-prefixed code for heat_number and the separate shorter numeric code for billet_id. Preserve leading zeros and omit spaces within codes.\n\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 2, "reference_fields": 2, "predicted_fields": 2, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 4.9675}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 512, "image": "image_9505ac32ac24e6bcad01a9a7_jpg.rf.dd1611740d19a6adfff01a0562287ad1.jpg", "expected": "XW8ZZZCKZNG006202", "predicted": "XW8ZZZCKZNG006202", "correct": true, "input_tokens": 1155, "output_tokens": 317, "elapsed_seconds": 5.723658874980174, "metadata": {"question": "{\"question\": \"Read the vehicle identification number (VIN) visible in this image. Return only the VIN as a string of uppercase letters and digits, without spaces. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "d07b5533315b122f05115a2b67a4f803f0b8fca40837fbba6673a96f8d3bfa01", "category": "single_string", "subset": "733007c96827bfe7", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "a52ac57fdac72379d07fecd708cb8eeee84eb91fbe3aa717ec6fc0bb4ada8554", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the vehicle identification number (VIN) visible in this image. Return only the VIN as a string of uppercase letters and digits, without spaces. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 5.7305}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 513, "image": "image_0f6a2afc048262b82b5eacc4_jpg.rf.7344225d2dc0410f4ace9f61fc654830.jpg", "expected": "[{\"bbox\":[321,13,370,31],\"text\":\"THE\"},{\"bbox\":[276,14,308,32],\"text\":\"TO\"},{\"bbox\":[381,16,441,37],\"text\":\"CITY\"},{\"bbox\":[139,19,266,60],\"text\":\"WELCOME\"},{\"bbox\":[453,29,488,51],\"text\":\"OF\"},{\"bbox\":[131,62,490,147],\"text\":\"GLYNDON\"}]", "predicted": "[{\"box_2d\": [49, 217, 170, 412], \"text\": \"WELCOME\"}, {\"box_2d\": [37, 434, 86, 483], \"text\": \"TO\"}, {\"box_2d\": [36, 502, 83, 577], \"text\": \"THE\"}, {\"box_2d\": [43, 598, 108, 691], \"text\": \"CITY\"}, {\"box_2d\": [79, 710, 134, 758], \"text\": \"OF\"}, {\"box_2d\": [176, 204, 405, 764], \"text\": \"GLYNDON\"}]", "correct": true, "input_tokens": 1332, "output_tokens": 1135, "elapsed_seconds": 28.37706341710873, "metadata": {"question": "{\"question\": \"Locate and transcribe all text on the signs in this image.\", \"specification\": \"Use one box per word or standalone number, including curved words in a single box. Exclude text outside the signs and purely graphical symbols. Return plain text, not LaTeX.\\n\\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\", \"task\": \"localization_recognition\"}", "sample_id": "0851d89708a4c11b103be21844b533cdf25f12aa94b4bef31d097e88e0f66991", "category": "localization_recognition", "subset": "21363697af554f8e", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "4030ca5436edb5dfe118927ac688d6bc65dc028c36ddaf96f89e656da0533e22", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe all text on the signs in this image.\n\nUse one box per word or standalone number, including curved words in a single box. Exclude text outside the signs and purely graphical symbols. Return plain text, not LaTeX.\n\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 1.0, "status": "ok", "format_compliant": true, "detection_f1": 1.0, "matched_regions": 6, "reference_regions": 6, "predicted_regions": 6, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 28.3954}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 514, "image": "image_fb5044701081f6c61fe62879_jpg.rf.de5357fa5ea730386c1e785d19938f56.jpg", "expected": "{\"serving_size\":\"1 1/4 Cup (58g)\",\"servings_per_container\":\"About 6\",\"calories\":\"180\",\"total_fat\":{\"amount\":\"2g\",\"daily_value\":\"3%\"},\"saturated_fat\":{\"amount\":\"0g\",\"daily_value\":\"0%\"},\"trans_fat\":{\"amount\":\"0g\",\"daily_value\":null},\"cholesterol\":{\"amount\":\"0mg\",\"daily_value\":\"0%\"},\"sodium\":{\"amount\":\"115mg\",\"daily_value\":\"5%\"},\"total_carbohydrate\":{\"amount\":\"40g\",\"daily_value\":\"13%\"},\"dietary_fiber\":{\"amount\":\"13g\",\"daily_value\":\"52%\"},\"total_sugars\":{\"amount\":\"8g\",\"daily_value\":null},\"protein\":{\"amount\":\"12g\",\"daily_value\":\"17%\"},\"vitamin_a\":{\"amount\":null,\"daily_value\":\"0%\"},\"vitamin_c\":{\"amount\":null,\"daily_value\":\"0%\"},\"calcium\":{\"amount\":null,\"daily_value\":\"4%\"},\"iron\":{\"amount\":null,\"daily_value\":\"10%\"},\"potassium\":{\"amount\":\"390mg\",\"daily_value\":\"11%\"}}", "predicted": "{\n \"serving_size\": \"1 1/4 Cup (58g)\",\n \"servings_per_container\": \"About 6\",\n \"calories\": \"180\",\n \"total_fat\": {\"amount\": \"2g\", \"daily_value\": \"3%\"},\n \"saturated_fat\": {\"amount\": \"0g\", \"daily_value\": \"0%\"},\n \"trans_fat\": {\"amount\": \"0g\", \"daily_value\": null},\n \"cholesterol\": {\"amount\": \"0mg\", \"daily_value\": \"0%\"},\n \"sodium\": {\"amount\": \"115mg\", \"daily_value\": \"5%\"},\n \"total_carbohydrate\": {\"amount\": \"40g\", \"daily_value\": \"13%\"},\n \"dietary_fiber\": {\"amount\": \"13g\", \"daily_value\": \"52%\"},\n \"total_sugars\": {\"amount\": \"8g\", \"daily_value\": null},\n \"protein\": {\"amount\": \"12g\", \"daily_value\": \"17%\"},\n \"vitamin_a\": {\"amount\": null, \"daily_value\": \"0%\"},\n \"vitamin_c\": {\"amount\": null, \"daily_value\": \"0%\"},\n \"calcium\": {\"amount\": null, \"daily_value\": \"4%\"},\n \"iron\": {\"amount\": null, \"daily_value\": \"10%\"},\n \"potassium\": {\"amount\": \"390mg\", \"daily_value\": \"11%\"}\n}", "correct": true, "input_tokens": 1637, "output_tokens": 1649, "elapsed_seconds": 16.74849291704595, "metadata": {"question": "{\"question\": \"Extract the information printed in the main Nutrition Facts panel in this image. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"serving_size\\\": null,\\n \\\"servings_per_container\\\": null,\\n \\\"calories\\\": null,\\n \\\"total_fat\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"saturated_fat\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"trans_fat\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"cholesterol\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"sodium\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"total_carbohydrate\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"dietary_fiber\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"total_sugars\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"protein\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"vitamin_a\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"vitamin_c\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"calcium\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"iron\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"potassium\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null}\\n}\\n\\nUse per-serving values as packaged, not prepared or per-container values. Use Calories, not Calories from Fat. Map \u201cSugars\u201d to total_sugars.\\n\\nKeep nutrient amounts and daily-value percentages separate (e.g., \u201cCalcium 260 mg 20%\u201d \u2192 {\\\"amount\\\": \\\"260mg\\\", \\\"daily_value\\\": \\\"20%\\\"}). Preserve printed units and qualifiers; do not calculate or convert values.\\n\\nFormat serving_size as household measure followed by metric quantity in parentheses (e.g., \u201c2 pieces 30 g\u201d \u2192 \u201c2 pieces (30g)\u201d). If only one measure is printed, return it alone. Preserve additional serving-size details.\\n\\nRemove spaces between numbers and units or % signs. Preserve all other text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nInclude every key. Use strings for extracted values and null for missing or unreadable values, including individual amounts or percentages. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "6d48ccf2c9ce4b3e56c45f505ff98485898223fd8a00f229cda5017411d49a3e", "category": "structured", "subset": "3d0c26ee8395584a", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "90327eb802d6c77e576e6bdcff2afc688a5f05a6d7abc96b61c4b258071dae55", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed in the main Nutrition Facts panel in this image. Return only a valid JSON object with these fields:\n\n{\n \"serving_size\": null,\n \"servings_per_container\": null,\n \"calories\": null,\n \"total_fat\": {\"amount\": null, \"daily_value\": null},\n \"saturated_fat\": {\"amount\": null, \"daily_value\": null},\n \"trans_fat\": {\"amount\": null, \"daily_value\": null},\n \"cholesterol\": {\"amount\": null, \"daily_value\": null},\n \"sodium\": {\"amount\": null, \"daily_value\": null},\n \"total_carbohydrate\": {\"amount\": null, \"daily_value\": null},\n \"dietary_fiber\": {\"amount\": null, \"daily_value\": null},\n \"total_sugars\": {\"amount\": null, \"daily_value\": null},\n \"protein\": {\"amount\": null, \"daily_value\": null},\n \"vitamin_a\": {\"amount\": null, \"daily_value\": null},\n \"vitamin_c\": {\"amount\": null, \"daily_value\": null},\n \"calcium\": {\"amount\": null, \"daily_value\": null},\n \"iron\": {\"amount\": null, \"daily_value\": null},\n \"potassium\": {\"amount\": null, \"daily_value\": null}\n}\n\nUse per-serving values as packaged, not prepared or per-container values. Use Calories, not Calories from Fat. Map \u201cSugars\u201d to total_sugars.\n\nKeep nutrient amounts and daily-value percentages separate (e.g., \u201cCalcium 260 mg 20%\u201d \u2192 {\"amount\": \"260mg\", \"daily_value\": \"20%\"}). Preserve printed units and qualifiers; do not calculate or convert values.\n\nFormat serving_size as household measure followed by metric quantity in parentheses (e.g., \u201c2 pieces 30 g\u201d \u2192 \u201c2 pieces (30g)\u201d). If only one measure is printed, return it alone. Preserve additional serving-size details.\n\nRemove spaces between numbers and units or % signs. Preserve all other text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nInclude every key. Use strings for extracted values and null for missing or unreadable values, including individual amounts or percentages. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 31, "reference_fields": 31, "predicted_fields": 31, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 16.7739}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 515, "image": "image_dc70ca3886b0a13bd3a29a82_jpg.rf.a711d1f0783d81d33b72c03a60e802e7.jpg", "expected": "{\"route_number\":\"18\",\"bus_number\":\"2-3(21)\",\"destination_sign\":\"\u0e15\u0e25\u0e32\u0e14\u0e17\u0e48\u0e32\u0e2d\u0e34\u0e10 THAIT MARKET\",\"license_plate\":\"16-8069\"}", "predicted": "{\n \"route_number\": \"18\",\n \"bus_number\": \"2-3(21)\",\n \"destination_sign\": \"\u0e15\u0e25\u0e32\u0e14\u0e17\u0e48\u0e32\u0e2d\u0e34\u0e10 THAIT MARKET\",\n \"license_plate\": \"16-8069\"\n}", "correct": true, "input_tokens": 1209, "output_tokens": 883, "elapsed_seconds": 18.023679332924075, "metadata": {"question": "{\"question\": \"Extract the information printed on the main bus in this image. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"route_number\\\": null,\\n \\\"bus_number\\\": null,\\n \\\"destination_sign\\\": null,\\n \\\"license_plate\\\": null\\n}\\n\\nPreserve the text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "2dc9db55de53f8b4f1c4a51cac98dceec0bbf8a178513bf4ab74619c6da39d99", "category": "structured", "subset": "477b707cebbcd6df", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "17ff14851f031d9815944ede0f9906fb0cbb0c21c0c05857ceb4f991b754449a", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on the main bus in this image. Return only a valid JSON object with these fields:\n\n{\n \"route_number\": null,\n \"bus_number\": null,\n \"destination_sign\": null,\n \"license_plate\": null\n}\n\nPreserve the text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 4, "reference_fields": 4, "predicted_fields": 4, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 18.5396}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 516, "image": "image_b4b6c97db27c56e3f9366cf3_jpg.rf.85f5991550d5aaff403bef97e5319b08.jpg", "expected": "261", "predicted": "261", "correct": true, "input_tokens": 1152, "output_tokens": 320, "elapsed_seconds": 6.4175262079807, "metadata": {"question": "{\"question\": \"Read the house number on the address plate in this image. Return only the number, including any letters, hyphens, or slashes. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "3f44c099f2e769bedadb903bccefb5b73e37bbc7ad1405a99cbc46553e76520d", "category": "single_string", "subset": "4788f963011764ba", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "f0a44ef1a766fbb903c925f88691442661c12c05e27676f443a92b79f7819f72", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the house number on the address plate in this image. Return only the number, including any letters, hyphens, or slashes. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 6.4574}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 517, "image": "image_bc0af28fd06debf70160f171_jpg.rf.71341ca059c10c0698ce15f35b260ed0.jpg", "expected": "{\"heat_number\":\"A78386\",\"billet_id\":\"2031\"}", "predicted": "{\n \"heat_number\": \"A78386\",\n \"billet_id\": \"2031\"\n}", "correct": true, "input_tokens": 1225, "output_tokens": 270, "elapsed_seconds": 5.019400959019549, "metadata": {"question": "{\"question\": \"Extract the information printed on the end of this metal billet. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"heat_number\\\": null,\\n \\\"billet_id\\\": null\\n}\\n\\nUse the letter-prefixed code for heat_number and the separate shorter numeric code for billet_id. Preserve leading zeros and omit spaces within codes.\\n\\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "9af9e83321be337e21db544d744978f63dbdc1c330af953e3aca8326459fcc15", "category": "structured", "subset": "84ce444ef86dc04d", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "ddbc4b83f10bba605bdd678d9c11cb2604a6d94717c6a9c90cfd04a16f8d643b", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on the end of this metal billet. Return only a valid JSON object with these fields:\n\n{\n \"heat_number\": null,\n \"billet_id\": null\n}\n\nUse the letter-prefixed code for heat_number and the separate shorter numeric code for billet_id. Preserve leading zeros and omit spaces within codes.\n\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 2, "reference_fields": 2, "predicted_fields": 2, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 5.028}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 518, "image": "image_7083f2c160fa672b32558f9f_jpg.rf.aacb9ca3c9ccf18836ef245fbd1e521e.jpg", "expected": "{\"departure_station\":\"HACHIOJI\",\"arrival_station\":\"SHINJUKU\",\"travel_date\":\"OCT.15\",\"departure_time\":\"09:49\",\"arrival_time\":\"10:26\",\"train\":\"KAIJI 10\",\"carriage\":\"4\",\"seat\":\"12-A\"}", "predicted": "{\n \"departure_station\": \"HACHIOJI\",\n \"arrival_station\": \"SHINJUKU\",\n \"travel_date\": \"OCT.15\",\n \"departure_time\": \"9:49\",\n \"arrival_time\": \"10:26\",\n \"train\": \"KAIJI 10\",\n \"carriage\": \"4\",\n \"seat\": \"12-A\"\n}", "correct": false, "input_tokens": 1357, "output_tokens": 767, "elapsed_seconds": 10.06366845802404, "metadata": {"question": "{\"question\": \"Extract journey information from this railway ticket. Return only a valid JSON object with this structure:\\n\\n{\\n \\\"departure_station\\\": null,\\n \\\"arrival_station\\\": null,\\n \\\"travel_date\\\": null,\\n \\\"departure_time\\\": null,\\n \\\"arrival_time\\\": null,\\n \\\"train\\\": null,\\n \\\"carriage\\\": null,\\n \\\"seat\\\": null\\n}\\n\\nUse printed Latin-script station and train names where available. Copy the travel date, not the issue date; do not add an unprinted year. Write the abbreviated month and day without spaces (e.g., OCT.18), and use \u00b7 for a middle dot. Return times as HH:MM, without surrounding parentheses or field labels. Include the train name and number, separated by one space (e.g., HIKARI 635). Preserve seat separators (e.g., 3-A).\\n\\nPreserve text as printed or handwritten, joining line breaks within a field with spaces. Do not infer missing information or translate. Include every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "ce37d2cc967346dd472bb55e05ad40c9a6a98ccc5b0f5cc5b6fde11e18fbaac2", "category": "structured", "subset": "69f8a78c51c95b60", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "b72f7dc593972765ff9038840ccdb435b7850ddbb938a7c33a4dfa631a3b7648", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract journey information from this railway ticket. Return only a valid JSON object with this structure:\n\n{\n \"departure_station\": null,\n \"arrival_station\": null,\n \"travel_date\": null,\n \"departure_time\": null,\n \"arrival_time\": null,\n \"train\": null,\n \"carriage\": null,\n \"seat\": null\n}\n\nUse printed Latin-script station and train names where available. Copy the travel date, not the issue date; do not add an unprinted year. Write the abbreviated month and day without spaces (e.g., OCT.18), and use \u00b7 for a middle dot. Return times as HH:MM, without surrounding parentheses or field labels. Include the train name and number, separated by one space (e.g., HIKARI 635). Preserve seat separators (e.g., 3-A).\n\nPreserve text as printed or handwritten, joining line breaks within a field with spaces. Do not infer missing information or translate. Include every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 0.875, "status": "ok", "format_compliant": true, "matched_fields": 7, "reference_fields": 8, "predicted_fields": 8, "non_null_field_accuracy": 0.875, "object_exact_match": false, "attempts": 1, "retries": 0, "total_seconds": 10.1026}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 519, "image": "image_fc778f72e3169d090f8edcb7_jpg.rf.3f023fd43a355ed80d326abf00aa5c1d.jpg", "expected": "55", "predicted": "25", "correct": false, "input_tokens": 1146, "output_tokens": 3423, "elapsed_seconds": 51.08094304194674, "metadata": {"question": "{\"question\": \"Read the basketball jersey number visible in this image. Return only the number as a string of digits. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "59fb33a55e6a5d7eb24ad5b0c7a1478ab62969d617511b62db3923250aa25991", "category": "single_string", "subset": "c88e91da6c946745", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "874ba5764be63c51cb0b50f5c47cd9abd52d9f85b5d5e24305acd488406b4cb7", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the basketball jersey number visible in this image. Return only the number as a string of digits. Do not explain.", "match_method": "single_string", "score": 0.0, "status": "ok", "format_compliant": true, "attempts": 3, "retries": 2, "total_seconds": 177.9949, "transient_errors": ["RemoteProtocolError", "RemoteProtocolError"]}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 520, "image": "image_840560da1c0daf9fb1904771_jpg.rf.6d225e11e160552b8e79d1d71e6d2d42.jpg", "expected": "01053765", "predicted": "01053765", "correct": true, "input_tokens": 1125, "output_tokens": 665, "elapsed_seconds": 17.87945683300495, "metadata": {"question": "{\"question\": \"Read the serial number printed on the e-pass tag. Return only the serial number, preserving letters and leading zeros. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "2d42edf8d1f36250b8de36d8b7a9073c95e8bc9c5aaa0c379f863799436db785", "category": "single_string", "subset": "d8762ffc9a8e6ed6", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "39814b5cd33c4cc35f802449ce50da4beb5e2c49adc51bec0c27c092ec6f7e6a", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the serial number printed on the e-pass tag. Return only the serial number, preserving letters and leading zeros. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 18.4085}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 521, "image": "image_8dcbfedf3ffd2f7e0a638f75_jpg.rf.8d87d5361d2c42f44b3594fa09901925.jpg", "expected": "97.1", "predicted": "97.1", "correct": true, "input_tokens": 1131, "output_tokens": 363, "elapsed_seconds": 10.764701041043736, "metadata": {"question": "{\"question\": \"Read the main temperature value shown on the thermometer display. Return only the numeric reading, preserving the decimal point and trailing zeros. Exclude units and icons. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "133b2a235a15b59ce8ddcc042f29719ad2a42a194fe686c28b5441f57813e0b0", "category": "single_string", "subset": "86f51b3c3dae6d11", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "4549310ea00b0f6f93b192836ba8d3e57dd7795f99cce74a091ae1c63f87175d", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the main temperature value shown on the thermometer display. Return only the numeric reading, preserving the decimal point and trailing zeros. Exclude units and icons. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 11.1207}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 522, "image": "image_8849fdffc4cbecd08d57a562_jpg.rf.5103dd9be456c3dae79affa51939ab6f.jpg", "expected": "{\"carrier\":\"FedEx\",\"tracking_number\":\"787476737919\",\"sender_name\":\"Shipping Department Target.com\",\"sender_address\":\"249 County Line Rd Amityville NY 11701 US\",\"recipient_name\":\"Ashley Graham\",\"recipient_address\":\"18500 Cove Creek Dr Moseley VA 23120 (US)\",\"shipping_service\":\"Home Delivery\",\"weight\":\"27.00 LB\"}", "predicted": "{\n \"carrier\": \"FedEx\",\n \"tracking_number\": \"787476737919\",\n \"sender_name\": \"Shipping Department Target.com\",\n \"sender_address\": \"249 County Line Rd Amityville NY 11701 US\",\n \"recipient_name\": \"Ashley Graham\",\n \"recipient_address\": \"18500 Cove Creek Dr Moseley VA 23120 (US)\",\n \"shipping_service\": \"Home Delivery\",\n \"weight\": \"27.00 LB\"\n}", "correct": true, "input_tokens": 1366, "output_tokens": 1032, "elapsed_seconds": 13.302581875002943, "metadata": {"question": "{\"question\": \"Extract the information printed on this shipping label. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"carrier\\\": null,\\n \\\"tracking_number\\\": null,\\n \\\"sender_name\\\": null,\\n \\\"sender_address\\\": null,\\n \\\"recipient_name\\\": null,\\n \\\"recipient_address\\\": null,\\n \\\"shipping_service\\\": null,\\n \\\"weight\\\": null\\n}\\n\\nIgnore accompanying paperwork. Keep company and department lines in names, not addresses; exclude phone numbers. Return tracking_number without spaces (e.g., \u201c7885 0040 8757\u201d \u2192 \u201c788500408757\u201d). Omit the carrier from shipping_service (e.g., \u201cFedEx Home Delivery\u201d \u2192 \u201cHome Delivery\u201d). Retain weight units and printed country information in addresses.\\n\\nPreserve all other text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "54666f99b2274d9251520f15442c79c3b0ed891375092d66a63f234f20d1f4e7", "category": "structured", "subset": "ccd97de2b96725a9", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "0e86eea3880eed4221d763a10a042df3619c66c03a8cdae21881a3b3b3fb8ab6", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on this shipping label. Return only a valid JSON object with these fields:\n\n{\n \"carrier\": null,\n \"tracking_number\": null,\n \"sender_name\": null,\n \"sender_address\": null,\n \"recipient_name\": null,\n \"recipient_address\": null,\n \"shipping_service\": null,\n \"weight\": null\n}\n\nIgnore accompanying paperwork. Keep company and department lines in names, not addresses; exclude phone numbers. Return tracking_number without spaces (e.g., \u201c7885 0040 8757\u201d \u2192 \u201c788500408757\u201d). Omit the carrier from shipping_service (e.g., \u201cFedEx Home Delivery\u201d \u2192 \u201cHome Delivery\u201d). Retain weight units and printed country information in addresses.\n\nPreserve all other text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 8, "reference_fields": 8, "predicted_fields": 8, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 13.3312}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 523, "image": "image_bee1920312c914feccd4f64e_jpg.rf.cbc61b54078154c80f0db65c2eaa75ea.jpg", "expected": "[{\"bbox\":[77,25,269,76],\"text\":\"breaking dawn\"},{\"bbox\":[52,444,299,459],\"text\":\"STEPHENIE MEYER\"},{\"bbox\":[52,467,299,478],\"text\":\"AUTHOR OF THE #1 BESTSELLING TWILIGHT, NEW MOON, AND ECLIPSE\"}]", "predicted": "[{\"box_2d\": [49, 232, 151, 792], \"text\": \"breaking dawn\"}, {\"box_2d\": [891, 155, 914, 880], \"text\": \"STEPHENIE MEYER\"}, {\"box_2d\": [934, 156, 952, 879], \"text\": \"AUTHOR OF THE #1 BESTSELLING TWILIGHT, NEW MOON, AND ECLIPSE\"}]", "correct": true, "input_tokens": 1299, "output_tokens": 679, "elapsed_seconds": 9.957236957969144, "metadata": {"question": "{\"question\": \"Locate and transcribe all visible text on this book cover, including title, author, publisher and promotional text.\", \"specification\": \"Use one box per text line. Return plain text, not LaTeX.\\n\\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Do not include explanations or Markdown.\", \"task\": \"localization_recognition\"}", "sample_id": "86dd7c8cc7c34370d7de13cd3780e17286f0ac400af9d08f764435c9a615b3c7", "category": "localization_recognition", "subset": "658c0e5b4d5e48ce", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "8f324c05754be31a92b9405f085a2f100a37321544b4c523b68c8ec877634380", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe all visible text on this book cover, including title, author, publisher and promotional text.\n\nUse one box per text line. Return plain text, not LaTeX.\n\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Do not include explanations or Markdown.\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 1.0, "status": "ok", "format_compliant": true, "detection_f1": 1.0, "matched_regions": 3, "reference_regions": 3, "predicted_regions": 3, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 9.9664}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 524, "image": "image_da2caa60803f1fed27c57da5_jpg.rf.2a2cd5ac9378158a088bfc4b477037a6.jpg", "expected": "[{\"bbox\":[312,648,401,719],\"text\":\"T\"},{\"bbox\":[452,665,540,749],\"text\":\"O\"},{\"bbox\":[590,668,681,747],\"text\":\"Y\"},{\"bbox\":[839,707,927,780],\"text\":\"F\"},{\"bbox\":[285,794,378,869],\"text\":\"E\"},{\"bbox\":[693,828,789,910],\"text\":\"B\"},{\"bbox\":[843,853,941,932],\"text\":\"E\"},{\"bbox\":[982,882,1082,967],\"text\":\"N\"},{\"bbox\":[1128,898,1223,970],\"text\":\"T\"},{\"bbox\":[256,926,347,1007],\"text\":\"V\"},{\"bbox\":[1421,948,1523,1037],\"text\":\"H\"},{\"bbox\":[397,969,489,1052],\"text\":\"A\"},{\"bbox\":[531,976,628,1060],\"text\":\"N\"},{\"bbox\":[807,1019,896,1049],\"text\":\"I\"},{\"bbox\":[1099,1048,1198,1128],\"text\":\"E\"},{\"bbox\":[1392,1094,1491,1178],\"text\":\"U\"},{\"bbox\":[489,1124,579,1200],\"text\":\"U\"},{\"bbox\":[782,1141,877,1221],\"text\":\"H\"},{\"bbox\":[1066,1200,1153,1263],\"text\":\"J\"},{\"bbox\":[1207,1221,1304,1307],\"text\":\"A\"},{\"bbox\":[1350,1247,1447,1334],\"text\":\"D\"},{\"bbox\":[1514,1250,1614,1331],\"text\":\"E\"},{\"bbox\":[477,1275,563,1345],\"text\":\"F\"},{\"bbox\":[622,1285,714,1369],\"text\":\"A\"},{\"bbox\":[769,1290,862,1362],\"text\":\"T\"},{\"bbox\":[1476,1401,1569,1482],\"text\":\"D\"},{\"bbox\":[1315,1521,1419,1622],\"text\":\"M\"},{\"bbox\":[1470,1552,1567,1638],\"text\":\"A\"},{\"bbox\":[1614,1573,1715,1657],\"text\":\"N\"},{\"bbox\":[1763,1587,1860,1670],\"text\":\"Y\"},{\"bbox\":[1436,1713,1533,1773],\"text\":\"L\"},{\"bbox\":[1424,1842,1517,1928],\"text\":\"G\"},{\"bbox\":[1869,1858,1969,1974],\"text\":\"W\"},{\"bbox\":[1724,1868,1818,1954],\"text\":\"O\"},{\"bbox\":[1574,1869,1670,1929],\"text\":\"L\"},{\"bbox\":[1850,2033,1947,2107],\"text\":\"E\"},{\"bbox\":[1842,2183,1940,2265],\"text\":\"R\"},{\"bbox\":[1812,2326,1908,2414],\"text\":\"G\"},{\"bbox\":[1961,2354,2063,2437],\"text\":\"R\"},{\"bbox\":[2137,2375,2239,2463],\"text\":\"A\"},{\"bbox\":[2308,2394,2409,2475],\"text\":\"Z\"},{\"bbox\":[2472,2400,2574,2478],\"text\":\"E\"},{\"bbox\":[2465,2553,2567,2634],\"text\":\"S\"},{\"bbox\":[2288,2696,2384,2776],\"text\":\"P\"},{\"bbox\":[2451,2732,2549,2762],\"text\":\"I\"},{\"bbox\":[2422,2865,2527,2950],\"text\":\"R\"},{\"bbox\":[2581,2890,2683,2973],\"text\":\"U\"},{\"bbox\":[2743,2915,2845,3006],\"text\":\"G\"},{\"bbox\":[2712,3065,2813,3156],\"text\":\"O\"},{\"bbox\":[2683,3226,2781,3311],\"text\":\"F\"}]", "predicted": "[{\"box_2d\": [158, 102, 180, 134], \"text\": \"T\"}, {\"box_2d\": [164, 148, 186, 179], \"text\": \"O\"}, {\"box_2d\": [167, 195, 187, 227], \"text\": \"Y\"}, {\"box_2d\": [175, 280, 195, 312], \"text\": \"F\"}, {\"box_2d\": [195, 95, 216, 128], \"text\": \"E\"}, {\"box_2d\": [204, 229, 225, 261], \"text\": \"B\"}, {\"box_2d\": [212, 275, 232, 309], \"text\": \"E\"}, {\"box_2d\": [220, 323, 242, 357], \"text\": \"N\"}, {\"box_2d\": [223, 372, 245, 405], \"text\": \"T\"}, {\"box_2d\": [231, 86, 250, 118], \"text\": \"V\"}, {\"box_2d\": [235, 467, 257, 502], \"text\": \"H\"}, {\"box_2d\": [239, 130, 260, 162], \"text\": \"A\"}, {\"box_2d\": [243, 176, 264, 209], \"text\": \"N\"}, {\"box_2d\": [251, 267, 262, 299], \"text\": \"I\"}, {\"box_2d\": [261, 366, 280, 398], \"text\": \"E\"}, {\"box_2d\": [272, 456, 293, 491], \"text\": \"U\"}, {\"box_2d\": [278, 165, 299, 198], \"text\": \"U\"}, {\"box_2d\": [283, 257, 304, 290], \"text\": \"H\"}, {\"box_2d\": [299, 353, 315, 385], \"text\": \"J\"}, {\"box_2d\": [303, 400, 325, 431], \"text\": \"A\"}, {\"box_2d\": [308, 447, 330, 480], \"text\": \"D\"}, {\"box_2d\": [312, 496, 332, 531], \"text\": \"E\"}, {\"box_2d\": [315, 160, 335, 191], \"text\": \"F\"}, {\"box_2d\": [319, 205, 340, 238], \"text\": \"A\"}, {\"box_2d\": [321, 253, 343, 287], \"text\": \"T\"}, {\"box_2d\": [349, 489, 370, 523], \"text\": \"D\"}, {\"box_2d\": [378, 434, 403, 469], \"text\": \"M\"}, {\"box_2d\": [386, 482, 406, 516], \"text\": \"A\"}, {\"box_2d\": [390, 532, 412, 567], \"text\": \"N\"}, {\"box_2d\": [396, 581, 415, 616], \"text\": \"Y\"}, {\"box_2d\": [423, 475, 442, 508], \"text\": \"L\"}, {\"box_2d\": [457, 469, 479, 503], \"text\": \"G\"}, {\"box_2d\": [463, 518, 480, 552], \"text\": \"L\"}, {\"box_2d\": [464, 568, 485, 602], \"text\": \"O\"}, {\"box_2d\": [464, 616, 491, 653], \"text\": \"W\"}, {\"box_2d\": [505, 611, 524, 646], \"text\": \"E\"}, {\"box_2d\": [542, 608, 562, 642], \"text\": \"R\"}, {\"box_2d\": [577, 600, 599, 634], \"text\": \"G\"}, {\"box_2d\": [584, 650, 604, 684], \"text\": \"R\"}, {\"box_2d\": [590, 704, 611, 740], \"text\": \"A\"}, {\"box_2d\": [595, 758, 616, 795], \"text\": \"Z\"}, {\"box_2d\": [596, 814, 615, 851], \"text\": \"E\"}, {\"box_2d\": [635, 811, 655, 848], \"text\": \"S\"}, {\"box_2d\": [669, 756, 688, 790], \"text\": \"P\"}, {\"box_2d\": [675, 807, 685, 843], \"text\": \"I\"}, {\"box_2d\": [711, 802, 731, 837], \"text\": \"R\"}, {\"box_2d\": [717, 853, 738, 888], \"text\": \"U\"}, {\"box_2d\": [723, 907, 745, 941], \"text\": \"G\"}, {\"box_2d\": [760, 899, 782, 933], \"text\": \"O\"}, {\"box_2d\": [801, 888, 821, 922], \"text\": \"F\"}]", "correct": true, "input_tokens": 1301, "output_tokens": 5512, "elapsed_seconds": 51.90768625005148, "metadata": {"question": "{\"question\": \"Locate and transcribe the large letter on every visible letter tile.\", \"specification\": \"Use one tight box around each letter, not the tile boundary; keep adjacent tiles separate. Include rotated letters; exclude point values, blank tiles and background text. Return plain text, not LaTeX.\\n\\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\", \"task\": \"localization_recognition\"}", "sample_id": "a8c3a555c48b1fe7b87dc72084d72472d953b033756a5187e853fd26ca3ea85b", "category": "localization_recognition", "subset": "c7e0eb346c8e2ba1", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "26df4b81b64135c7529a5a1cffc157d4bd879c27ca331c88c7666aff818ad48c", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe the large letter on every visible letter tile.\n\nUse one tight box around each letter, not the tile boundary; keep adjacent tiles separate. Include rotated letters; exclude point values, blank tiles and background text. Return plain text, not LaTeX.\n\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 1.0, "status": "ok", "format_compliant": true, "detection_f1": 1.0, "matched_regions": 50, "reference_regions": 50, "predicted_regions": 50, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 52.4539}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 525, "image": "image_da2caa60803f1fed27c57da5_jpg.rf.2a2cd5ac9378158a088bfc4b477037a6.jpg", "expected": "BENT\nDUH\nFAT\nFOG\nFUN\nGLADE\nGLOW\nGRAZE\nGREW\nJADE\nJET\nMANY\nPI\nRISE\nRUG\nTHIEF\nTOY\nVAN\nVET", "predicted": "BENT\nDUH\nFAT\nFOG\nFUN\nGLADE\nGLOW\nGRAZE\nGREW\nJADE\nJET\nMANY\nPI\nRISE\nRUG\nTHIEF\nTOY\nVAN\nVET", "correct": true, "input_tokens": 1172, "output_tokens": 3716, "elapsed_seconds": 50.180840499931946, "metadata": {"question": "{\"question\": \"Read all words formed by the letter tiles, including rotated words. Include only words valid in the Merriam-Webster Official Scrabble Players Dictionary. Return them in uppercase, one word per line, in alphabetical order. Preserve spelling and repeated words; do not correct or rearrange letters to make valid words. Ignore isolated letters and background text. Return only the words, without explanations or Markdown.\", \"task\": \"transcription\"}", "sample_id": "774445bcb26de145f36fa9bbdb3b5721d6070f80ad7b73c2ac1f7ab8cfe4a0ca", "category": "transcription", "subset": "1b7d212231bfff95", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "26df4b81b64135c7529a5a1cffc157d4bd879c27ca331c88c7666aff818ad48c", "text_protocol": "mixed-text-v2", "scoring_profile": "transcription", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read all words formed by the letter tiles, including rotated words. Include only words valid in the Merriam-Webster Official Scrabble Players Dictionary. Return them in uppercase, one word per line, in alphabetical order. Preserve spelling and repeated words; do not correct or rearrange letters to make valid words. Ignore isolated letters and background text. Return only the words, without explanations or Markdown.", "match_method": "transcription", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 3, "retries": 2, "total_seconds": 180.8233, "transient_errors": ["RemoteProtocolError", "RemoteProtocolError"]}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 526, "image": "image_60d860f5bbd0696343c3457e_jpg.rf.63fd81b9d496c3bb24f1ff9c6382eabe.jpg", "expected": "[{\"bbox\":[1128,149,1243,260],\"text\":\"O\"},{\"bbox\":[1719,273,1846,372],\"text\":\"E\"},{\"bbox\":[1520,286,1643,401],\"text\":\"R\"},{\"bbox\":[1325,314,1445,413],\"text\":\"U\"},{\"bbox\":[1124,348,1243,445],\"text\":\"S\"},{\"bbox\":[1702,485,1828,575],\"text\":\"L\"},{\"bbox\":[1705,693,1829,779],\"text\":\"F\"},{\"bbox\":[785,726,894,835],\"text\":\"A\"},{\"bbox\":[963,744,1074,848],\"text\":\"D\"},{\"bbox\":[615,767,719,862],\"text\":\"B\"},{\"bbox\":[1338,905,1457,1022],\"text\":\"X\"},{\"bbox\":[1712,918,1838,950],\"text\":\"I\"},{\"bbox\":[950,937,1065,1048],\"text\":\"A\"},{\"bbox\":[1726,1078,1851,1198],\"text\":\"R\"},{\"bbox\":[1525,1099,1648,1197],\"text\":\"E\"},{\"bbox\":[1140,1113,1255,1209],\"text\":\"T\"},{\"bbox\":[1328,1115,1448,1211],\"text\":\"E\"},{\"bbox\":[950,1136,1067,1234],\"text\":\"S\"},{\"bbox\":[1140,1309,1257,1408],\"text\":\"U\"},{\"bbox\":[1715,1477,1839,1584],\"text\":\"D\"},{\"bbox\":[1320,1512,1437,1605],\"text\":\"E\"},{\"bbox\":[1513,1512,1634,1607],\"text\":\"E\"},{\"bbox\":[1130,1516,1243,1609],\"text\":\"P\"},{\"bbox\":[1502,1710,1625,1815],\"text\":\"N\"},{\"bbox\":[1299,1848,1427,1965],\"text\":\"Q\"},{\"bbox\":[1499,1953,1621,1980],\"text\":\"I\"},{\"bbox\":[1474,2110,1597,2225],\"text\":\"V\"},{\"bbox\":[2097,2118,2232,2235],\"text\":\"Y\"},{\"bbox\":[1882,2123,2013,2236],\"text\":\"R\"},{\"bbox\":[1673,2126,1802,2246],\"text\":\"A\"},{\"bbox\":[2102,2355,2236,2472],\"text\":\"R\"},{\"bbox\":[2568,2364,2716,2476],\"text\":\"S\"},{\"bbox\":[1484,2554,1611,2657],\"text\":\"S\"},{\"bbox\":[2125,2571,2262,2697],\"text\":\"A\"},{\"bbox\":[2583,2581,2730,2709],\"text\":\"G\"},{\"bbox\":[1502,2762,1625,2864],\"text\":\"T\"},{\"bbox\":[1711,2777,1839,2893],\"text\":\"R\"},{\"bbox\":[1921,2801,2054,2903],\"text\":\"E\"},{\"bbox\":[2141,2801,2277,2905],\"text\":\"E\"},{\"bbox\":[2583,2813,2727,2921],\"text\":\"U\"},{\"bbox\":[1093,2963,1210,3063],\"text\":\"E\"},{\"bbox\":[1489,2977,1612,3077],\"text\":\"E\"},{\"bbox\":[2133,2983,2271,3151],\"text\":\"W\"},{\"bbox\":[2359,3036,2497,3142],\"text\":\"E\"},{\"bbox\":[2594,3042,2741,3149],\"text\":\"B\"},{\"bbox\":[1479,3177,1604,3296],\"text\":\"V\"},{\"bbox\":[1090,3181,1206,3263],\"text\":\"L\"},{\"bbox\":[1684,3205,1813,3306],\"text\":\"E\"},{\"bbox\":[1281,3212,1401,3243],\"text\":\"I\"},{\"bbox\":[888,3355,1001,3461],\"text\":\"H\"},{\"bbox\":[1082,3403,1200,3440],\"text\":\"I\"},{\"bbox\":[1092,3579,1207,3691],\"text\":\"R\"}]", "predicted": "[{\"box_2d\": [39, 376, 65, 412], \"text\": \"O\"}, {\"box_2d\": [68, 571, 91, 610], \"text\": \"E\"}, {\"box_2d\": [76, 502, 100, 543], \"text\": \"R\"}, {\"box_2d\": [80, 439, 104, 480], \"text\": \"U\"}, {\"box_2d\": [89, 374, 112, 412], \"text\": \"S\"}, {\"box_2d\": [119, 567, 142, 608], \"text\": \"L\"}, {\"box_2d\": [172, 565, 193, 605], \"text\": \"F\"}, {\"box_2d\": [181, 260, 207, 297], \"text\": \"A\"}, {\"box_2d\": [184, 319, 209, 357], \"text\": \"D\"}, {\"box_2d\": [191, 202, 214, 240], \"text\": \"B\"}, {\"box_2d\": [227, 444, 253, 482], \"text\": \"X\"}, {\"box_2d\": [229, 568, 239, 609], \"text\": \"I\"}, {\"box_2d\": [235, 317, 262, 355], \"text\": \"A\"}, {\"box_2d\": [271, 571, 297, 613], \"text\": \"R\"}, {\"box_2d\": [274, 504, 297, 545], \"text\": \"E\"}, {\"box_2d\": [277, 379, 302, 417], \"text\": \"T\"}, {\"box_2d\": [278, 440, 300, 480], \"text\": \"E\"}, {\"box_2d\": [282, 315, 307, 355], \"text\": \"S\"}, {\"box_2d\": [326, 377, 350, 415], \"text\": \"U\"}, {\"box_2d\": [368, 567, 394, 609], \"text\": \"D\"}, {\"box_2d\": [375, 498, 400, 540], \"text\": \"N\"}, {\"box_2d\": [376, 437, 399, 476], \"text\": \"E\"}, {\"box_2d\": [378, 374, 400, 412], \"text\": \"P\"}, {\"box_2d\": [427, 498, 450, 540], \"text\": \"E\"}, {\"box_2d\": [457, 430, 487, 474], \"text\": \"Q\"}, {\"box_2d\": [482, 496, 492, 536], \"text\": \"I\"}, {\"box_2d\": [525, 490, 553, 531], \"text\": \"V\"}, {\"box_2d\": [528, 555, 558, 597], \"text\": \"A\"}, {\"box_2d\": [528, 622, 555, 666], \"text\": \"R\"}, {\"box_2d\": [528, 696, 557, 740], \"text\": \"Y\"}, {\"box_2d\": [582, 696, 610, 741], \"text\": \"R\"}, {\"box_2d\": [587, 851, 615, 899], \"text\": \"S\"}, {\"box_2d\": [633, 491, 660, 534], \"text\": \"S\"}, {\"box_2d\": [636, 701, 667, 746], \"text\": \"A\"}, {\"box_2d\": [639, 855, 672, 902], \"text\": \"G\"}, {\"box_2d\": [684, 494, 712, 536], \"text\": \"T\"}, {\"box_2d\": [690, 567, 718, 610], \"text\": \"R\"}, {\"box_2d\": [695, 636, 720, 680], \"text\": \"E\"}, {\"box_2d\": [695, 709, 720, 754], \"text\": \"E\"}, {\"box_2d\": [696, 855, 725, 902], \"text\": \"U\"}, {\"box_2d\": [734, 362, 759, 402], \"text\": \"E\"}, {\"box_2d\": [737, 491, 762, 534], \"text\": \"E\"}, {\"box_2d\": [741, 705, 780, 752], \"text\": \"W\"}, {\"box_2d\": [752, 780, 779, 826], \"text\": \"E\"}, {\"box_2d\": [754, 859, 782, 905], \"text\": \"B\"}, {\"box_2d\": [788, 360, 811, 400], \"text\": \"L\"}, {\"box_2d\": [788, 488, 817, 531], \"text\": \"V\"}, {\"box_2d\": [794, 424, 804, 465], \"text\": \"I\"}, {\"box_2d\": [795, 558, 821, 601], \"text\": \"E\"}, {\"box_2d\": [833, 294, 858, 332], \"text\": \"H\"}, {\"box_2d\": [843, 359, 853, 399], \"text\": \"I\"}, {\"box_2d\": [886, 360, 916, 401], \"text\": \"R\"}]", "correct": false, "input_tokens": 1301, "output_tokens": 5658, "elapsed_seconds": 55.520675124949776, "metadata": {"question": "{\"question\": \"Locate and transcribe the large letter on every visible letter tile.\", \"specification\": \"Use one tight box around each letter, not the tile boundary; keep adjacent tiles separate. Include rotated letters; exclude point values, blank tiles and background text. Return plain text, not LaTeX.\\n\\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\", \"task\": \"localization_recognition\"}", "sample_id": "3380ad716fc9b9a62c4387e1b87c627e7034b44c857ff750390d0dc66bf786b6", "category": "localization_recognition", "subset": "c7e0eb346c8e2ba1", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "721d7b6a6dacc3c6a4eab31c66e4501cc8413b4ee727c70de48b11bc0b540047", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe the large letter on every visible letter tile.\n\nUse one tight box around each letter, not the tile boundary; keep adjacent tiles separate. Include rotated letters; exclude point values, blank tiles and background text. Return plain text, not LaTeX.\n\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 0.9615, "status": "ok", "format_compliant": true, "detection_f1": 1.0, "matched_regions": 50, "reference_regions": 52, "predicted_regions": 52, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 56.0464}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 527, "image": "image_60d860f5bbd0696343c3457e_jpg.rf.63fd81b9d496c3bb24f1ff9c6382eabe.jpg", "expected": "BAD\nBUGS\nEX\nHI\nLIVE\nPEED\nPUT\nQI\nRIFLE\nRILE\nSAD\nSO\nSTEER\nSURE\nTREE\nVARY\nVETS\nVINE\nWEARY\nWEB", "predicted": "BAD\nBUGS\nEX\nHI\nLIVE\nPEED\nPUT\nQI\nRIFLE\nRILE\nSAD\nSO\nSTEER\nSURE\nTREE\nVARY\nVETS\nVINE\nWEARY\nWEB", "correct": true, "input_tokens": 1172, "output_tokens": 4108, "elapsed_seconds": 50.79260395793244, "metadata": {"question": "{\"question\": \"Read all words formed by the letter tiles, including rotated words. Include only words valid in the Merriam-Webster Official Scrabble Players Dictionary. Return them in uppercase, one word per line, in alphabetical order. Preserve spelling and repeated words; do not correct or rearrange letters to make valid words. Ignore isolated letters and background text. Return only the words, without explanations or Markdown.\", \"task\": \"transcription\"}", "sample_id": "6688b168c02cece2263d5602407055dd2dd95a682f7b84415e4f9ef3b51f30f6", "category": "transcription", "subset": "1b7d212231bfff95", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "721d7b6a6dacc3c6a4eab31c66e4501cc8413b4ee727c70de48b11bc0b540047", "text_protocol": "mixed-text-v2", "scoring_profile": "transcription", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read all words formed by the letter tiles, including rotated words. Include only words valid in the Merriam-Webster Official Scrabble Players Dictionary. Return them in uppercase, one word per line, in alphabetical order. Preserve spelling and repeated words; do not correct or rearrange letters to make valid words. Ignore isolated letters and background text. Return only the words, without explanations or Markdown.", "match_method": "transcription", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 3, "retries": 2, "total_seconds": 181.5199, "transient_errors": ["RemoteProtocolError", "RemoteProtocolError"]}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 528, "image": "image_92ce55d4a54b5a8148bc564d_jpg.rf.447ecddf003f8cce302a40c9ad8bbb2a.jpg", "expected": "{\"issuing_authority\":\"TUZLA BELED\u0130YES\u0130\",\"approval_date\":\"12/02/2025\",\"document_number\":\"32/25\",\"permit_purpose\":\"Yap\u0131 Kullanma \u0130zni\",\"map_sheet_number\":null,\"block_number\":\"0\",\"parcel_number\":\"8226\",\"building_block_number\":\"B\",\"building_class\":\"III\",\"building_group\":\"B\",\"floors_below_road\":\"2\",\"floors_above_road\":\"4\",\"total_floors\":\"6\",\"building_construction_area\":\"5007,68\",\"all_buildings_construction_area\":\"71602,12\"}", "predicted": "{\n \"issuing_authority\": \"TUZLA BELED\u0130YES\u0130\",\n \"approval_date\": \"12/02/2025\",\n \"document_number\": \"32/25\",\n \"permit_purpose\": \"Yap\u0131 Kullanma \u0130zni\",\n \"map_sheet_number\": null,\n \"block_number\": \"0\",\n \"parcel_number\": \"8226\",\n \"building_block_number\": \"B\",\n \"building_class\": \"III\",\n \"building_group\": \"B\",\n \"floors_below_road\": \"2\",\n \"floors_above_road\": \"4\",\n \"total_floors\": \"6\",\n \"building_construction_area\": \"5007,68\",\n \"all_buildings_construction_area\": \"71602,12\"\n}", "correct": true, "input_tokens": 1477, "output_tokens": 1535, "elapsed_seconds": 16.72505758306943, "metadata": {"question": "{\"question\": \"Extract these identification and building fields from the building-use permit. Return only a valid JSON object with this structure:\\n\\n{\\n \\\"issuing_authority\\\": null,\\n \\\"approval_date\\\": null,\\n \\\"document_number\\\": null,\\n \\\"permit_purpose\\\": null,\\n \\\"map_sheet_number\\\": null,\\n \\\"block_number\\\": null,\\n \\\"parcel_number\\\": null,\\n \\\"building_block_number\\\": null,\\n \\\"building_class\\\": null,\\n \\\"building_group\\\": null,\\n \\\"floors_below_road\\\": null,\\n \\\"floors_above_road\\\": null,\\n \\\"total_floors\\\": null,\\n \\\"building_construction_area\\\": null,\\n \\\"all_buildings_construction_area\\\": null\\n}\\n\\nUse approval date and document number from Belgenin onay tarihi and Belge no, not earlier construction licences. permit_purpose is the selected option under Belgenin verili\u015f amac\u0131. Map cadastral identifiers from Pafta No, Ada No, Parsel No and Blok No. Keep Yap\u0131 in\u015faat alan\u0131 separate from Toplam yap\u0131 in\u015faat alan\u0131; do not substitute the permitted-part area. Omit printed area units; preserve numeric separators and dates.\\n\\nFor handwritten entries completed on preprinted date templates, include the printed year prefix. Treat standalone asterisks, dashes and dotted placeholders as null; retain punctuation within actual document numbers.\\n\\nPreserve the text as written; join line breaks within a field with spaces. Do not infer missing information or translate. Use strings for extracted values and null for missing or unreadable fields. Include every key. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "4f3845db7ec37b9d512d6036b7c03cc31ea1e195b4d181ce5c5e7b534b2a3575", "category": "structured", "subset": "1ced26f23029a4b6", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "cd5afadf59e8a092cbbc33fa3de01c03a36042ddc640424427a2d24b7074e41e", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract these identification and building fields from the building-use permit. Return only a valid JSON object with this structure:\n\n{\n \"issuing_authority\": null,\n \"approval_date\": null,\n \"document_number\": null,\n \"permit_purpose\": null,\n \"map_sheet_number\": null,\n \"block_number\": null,\n \"parcel_number\": null,\n \"building_block_number\": null,\n \"building_class\": null,\n \"building_group\": null,\n \"floors_below_road\": null,\n \"floors_above_road\": null,\n \"total_floors\": null,\n \"building_construction_area\": null,\n \"all_buildings_construction_area\": null\n}\n\nUse approval date and document number from Belgenin onay tarihi and Belge no, not earlier construction licences. permit_purpose is the selected option under Belgenin verili\u015f amac\u0131. Map cadastral identifiers from Pafta No, Ada No, Parsel No and Blok No. Keep Yap\u0131 in\u015faat alan\u0131 separate from Toplam yap\u0131 in\u015faat alan\u0131; do not substitute the permitted-part area. Omit printed area units; preserve numeric separators and dates.\n\nFor handwritten entries completed on preprinted date templates, include the printed year prefix. Treat standalone asterisks, dashes and dotted placeholders as null; retain punctuation within actual document numbers.\n\nPreserve the text as written; join line breaks within a field with spaces. Do not infer missing information or translate. Use strings for extracted values and null for missing or unreadable fields. Include every key. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 15, "reference_fields": 15, "predicted_fields": 15, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 16.7618}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 529, "image": "image_a633a69aee97144cb36e5555_jpg.rf.3aaa5411311b54b532a6ddc33f7b65ae.jpg", "expected": "A015969", "predicted": "4015989", "correct": false, "input_tokens": 1144, "output_tokens": 3278, "elapsed_seconds": 48.885260957991704, "metadata": {"question": "{\"question\": \"Read the identification code on the utility pole tag. Return only the code, joining vertically stacked characters without spaces and preserving leading zeros and hyphens. Exclude labels such as POLE NO., timestamps and GPS/address overlays. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "4eb809d9541f0d2ece1aebe75a8321679bc818a4828dbae68afe2ec55a4fff3f", "category": "single_string", "subset": "cd97317d8ff518ba", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "3d6fc6649b0204180efc81a37a9ef8c3d23c61611158c812073b7f6828c3f3eb", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the identification code on the utility pole tag. Return only the code, joining vertically stacked characters without spaces and preserving leading zeros and hyphens. Exclude labels such as POLE NO., timestamps and GPS/address overlays. Do not explain.", "match_method": "single_string", "score": 0.0, "status": "ok", "format_compliant": true, "attempts": 4, "retries": 3, "total_seconds": 246.7246, "transient_errors": ["RemoteProtocolError", "RemoteProtocolError", "RemoteProtocolError"]}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 530, "image": "image_b09475eb05648c950bd742e7_jpg.rf.3d2b60d019fcce0e372ac96c68cc5020.jpg", "expected": "[{\"bbox\":[52,5,78,23],\"text\":\"79\"},{\"bbox\":[495,13,511,34],\"text\":\"1\"},{\"bbox\":[49,96,76,114],\"text\":\"80\"},{\"bbox\":[489,115,504,135],\"text\":\"2\"},{\"bbox\":[153,117,189,134],\"text\":\"CNA\"},{\"bbox\":[239,119,362,144],\"text\":\"ACM-109\"},{\"bbox\":[72,165,87,199],\"text\":\"R10\"},{\"bbox\":[400,166,426,184],\"text\":\"R3\"},{\"bbox\":[483,168,510,185],\"text\":\"R2\"},{\"bbox\":[261,177,279,211],\"text\":\"C18\"},{\"bbox\":[399,184,427,201],\"text\":\"R4\"},{\"bbox\":[483,184,503,200],\"text\":\"R1\"},{\"bbox\":[309,204,329,241],\"text\":\"EM5\"},{\"bbox\":[92,212,131,230],\"text\":\"R29\"},{\"bbox\":[458,220,483,237],\"text\":\"C5\"},{\"bbox\":[23,239,39,274],\"text\":\"R12\"},{\"bbox\":[72,245,89,275],\"text\":\"R11\"},{\"bbox\":[112,287,129,324],\"text\":\"R27\"},{\"bbox\":[146,287,162,324],\"text\":\"R28\"},{\"bbox\":[493,293,530,311],\"text\":\"C20\"},{\"bbox\":[29,296,65,316],\"text\":\"RM1\"},{\"bbox\":[290,298,316,315],\"text\":\"C7\"},{\"bbox\":[214,308,240,324],\"text\":\"C9\"},{\"bbox\":[32,328,53,341],\"text\":\"152\"},{\"bbox\":[220,357,246,372],\"text\":\"C8\"},{\"bbox\":[110,362,129,398],\"text\":\"EM2\"},{\"bbox\":[232,374,252,410],\"text\":\"C10\"},{\"bbox\":[309,390,327,416],\"text\":\"C6\"},{\"bbox\":[422,394,439,431],\"text\":\"C25\"},{\"bbox\":[163,400,200,418],\"text\":\"C15\"},{\"bbox\":[288,406,305,438],\"text\":\"C11\"},{\"bbox\":[329,566,369,583],\"text\":\"CNB\"},{\"bbox\":[77,567,105,584],\"text\":\"79\"},{\"bbox\":[485,575,495,593],\"text\":\"1\"},{\"bbox\":[499,638,556,663],\"text\":\"1349\"},{\"bbox\":[494,667,509,687],\"text\":\"2\"},{\"bbox\":[48,679,75,696],\"text\":\"80\"}]", "predicted": "[{\"box_2d\": [12, 95, 34, 134], \"text\": \"79\"}, {\"box_2d\": [27, 892, 46, 905], \"text\": \"1\"}, {\"box_2d\": [141, 95, 161, 134], \"text\": \"80\"}, {\"box_2d\": [167, 275, 189, 338], \"text\": \"CNA\"}, {\"box_2d\": [168, 878, 189, 896], \"text\": \"2\"}, {\"box_2d\": [175, 440, 204, 645], \"text\": \"ACM-109\"}, {\"box_2d\": [237, 131, 282, 159], \"text\": \"R10\"}, {\"box_2d\": [242, 719, 262, 758], \"text\": \"R3\"}, {\"box_2d\": [244, 866, 265, 905], \"text\": \"R2\"}, {\"box_2d\": [256, 472, 300, 499], \"text\": \"C18\"}, {\"box_2d\": [264, 719, 285, 758], \"text\": \"R4\"}, {\"box_2d\": [266, 866, 287, 896], \"text\": \"R1\"}, {\"box_2d\": [295, 558, 341, 584], \"text\": \"EM5\"}, {\"box_2d\": [307, 170, 328, 229], \"text\": \"R29\"}, {\"box_2d\": [316, 821, 337, 860], \"text\": \"C5\"}, {\"box_2d\": [347, 45, 392, 71], \"text\": \"R12\"}, {\"box_2d\": [353, 131, 392, 158], \"text\": \"R11\"}, {\"box_2d\": [412, 206, 459, 232], \"text\": \"R27\"}, {\"box_2d\": [412, 265, 459, 291], \"text\": \"R28\"}, {\"box_2d\": [422, 885, 442, 944], \"text\": \"C20\"}, {\"box_2d\": [426, 56, 449, 108], \"text\": \"RM1\"}, {\"box_2d\": [428, 524, 450, 562], \"text\": \"C7\"}, {\"box_2d\": [443, 387, 463, 427], \"text\": \"C9\"}, {\"box_2d\": [472, 65, 485, 92], \"text\": \"152\"}, {\"box_2d\": [511, 395, 531, 435], \"text\": \"C8\"}, {\"box_2d\": [520, 202, 567, 229], \"text\": \"EM2\"}, {\"box_2d\": [536, 419, 582, 446], \"text\": \"C10\"}, {\"box_2d\": [561, 555, 593, 581], \"text\": \"C6\"}, {\"box_2d\": [568, 755, 613, 782], \"text\": \"C25\"}, {\"box_2d\": [573, 298, 594, 355], \"text\": \"C15\"}, {\"box_2d\": [584, 515, 623, 544], \"text\": \"C11\"}, {\"box_2d\": [812, 144, 833, 184], \"text\": \"79\"}, {\"box_2d\": [812, 592, 833, 653], \"text\": \"CNB\"}, {\"box_2d\": [824, 871, 845, 882], \"text\": \"1\"}, {\"box_2d\": [916, 901, 943, 991], \"text\": \"1349\"}, {\"box_2d\": [955, 888, 976, 906], \"text\": \"2\"}, {\"box_2d\": [971, 91, 992, 131], \"text\": \"80\"}]", "correct": false, "input_tokens": 1303, "output_tokens": 4384, "elapsed_seconds": 41.70894975005649, "metadata": {"question": "{\"question\": \"Locate and transcribe all visible text on the circuit board and its components.\", \"specification\": \"Use one box per distinct marking; join lines within the same marking with single spaces. Exclude logos and non-text symbols. Return plain text, not LaTeX.\\n\\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Do not include explanations or Markdown.\", \"task\": \"localization_recognition\"}", "sample_id": "c6ae56b561cf8f5f317208f11fcabca01d00349aa4b5ded18bd4be0f971a938d", "category": "localization_recognition", "subset": "6594bb1ef85ebb84", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "12f2294e6d0509c02e6a431297e408238a20b20c4dbfd8c34b18caa3fe3a55df", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe all visible text on the circuit board and its components.\n\nUse one box per distinct marking; join lines within the same marking with single spaces. Exclude logos and non-text symbols. Return plain text, not LaTeX.\n\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Do not include explanations or Markdown.\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 0.9189, "status": "ok", "format_compliant": true, "detection_f1": 0.918918918918919, "matched_regions": 34, "reference_regions": 37, "predicted_regions": 37, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 41.7275}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 531, "image": "image_2eaf1adb20009c3df472a7df_jpg.rf.ab64bf1635d01b6626f7da13cb93aee9.jpg", "expected": "{\"issuing_authority\":\"TUZLA BELED\u0130YES\u0130\",\"approval_date\":\"12/02/2025\",\"document_number\":\"31/25\",\"permit_purpose\":\"Yap\u0131 Kullanma \u0130zni\",\"map_sheet_number\":null,\"block_number\":\"0\",\"parcel_number\":\"8226\",\"building_block_number\":\"C\",\"building_class\":\"III\",\"building_group\":\"B\",\"floors_below_road\":\"2\",\"floors_above_road\":\"4\",\"total_floors\":\"6\",\"building_construction_area\":\"4465,11\",\"all_buildings_construction_area\":\"71602,12\"}", "predicted": "{\n \"issuing_authority\": \"TUZLA BELED\u0130YES\u0130\",\n \"approval_date\": \"12/02/2025\",\n \"document_number\": \"31/25\",\n \"permit_purpose\": \"Yap\u0131 Kullanma \u0130zni\",\n \"map_sheet_number\": null,\n \"block_number\": \"0\",\n \"parcel_number\": \"8226\",\n \"building_block_number\": \"C\",\n \"building_class\": \"III\",\n \"building_group\": \"B\",\n \"floors_below_road\": \"2\",\n \"floors_above_road\": \"4\",\n \"total_floors\": \"6\",\n \"building_construction_area\": \"4465,11\",\n \"all_buildings_construction_area\": \"71602,12\"\n}", "correct": true, "input_tokens": 1477, "output_tokens": 1786, "elapsed_seconds": 17.81673129205592, "metadata": {"question": "{\"question\": \"Extract these identification and building fields from the building-use permit. Return only a valid JSON object with this structure:\\n\\n{\\n \\\"issuing_authority\\\": null,\\n \\\"approval_date\\\": null,\\n \\\"document_number\\\": null,\\n \\\"permit_purpose\\\": null,\\n \\\"map_sheet_number\\\": null,\\n \\\"block_number\\\": null,\\n \\\"parcel_number\\\": null,\\n \\\"building_block_number\\\": null,\\n \\\"building_class\\\": null,\\n \\\"building_group\\\": null,\\n \\\"floors_below_road\\\": null,\\n \\\"floors_above_road\\\": null,\\n \\\"total_floors\\\": null,\\n \\\"building_construction_area\\\": null,\\n \\\"all_buildings_construction_area\\\": null\\n}\\n\\nUse approval date and document number from Belgenin onay tarihi and Belge no, not earlier construction licences. permit_purpose is the selected option under Belgenin verili\u015f amac\u0131. Map cadastral identifiers from Pafta No, Ada No, Parsel No and Blok No. Keep Yap\u0131 in\u015faat alan\u0131 separate from Toplam yap\u0131 in\u015faat alan\u0131; do not substitute the permitted-part area. Omit printed area units; preserve numeric separators and dates.\\n\\nFor handwritten entries completed on preprinted date templates, include the printed year prefix. Treat standalone asterisks, dashes and dotted placeholders as null; retain punctuation within actual document numbers.\\n\\nPreserve the text as written; join line breaks within a field with spaces. Do not infer missing information or translate. Use strings for extracted values and null for missing or unreadable fields. Include every key. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "a9be24d865a3c44b9eb95dcfc132c52af5afb9f00096a476797efd56c69240eb", "category": "structured", "subset": "1ced26f23029a4b6", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "ff6a4149deeec2be6d95f020f75e0ffa347bd62d4aa665383d63864c5a2a4424", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract these identification and building fields from the building-use permit. Return only a valid JSON object with this structure:\n\n{\n \"issuing_authority\": null,\n \"approval_date\": null,\n \"document_number\": null,\n \"permit_purpose\": null,\n \"map_sheet_number\": null,\n \"block_number\": null,\n \"parcel_number\": null,\n \"building_block_number\": null,\n \"building_class\": null,\n \"building_group\": null,\n \"floors_below_road\": null,\n \"floors_above_road\": null,\n \"total_floors\": null,\n \"building_construction_area\": null,\n \"all_buildings_construction_area\": null\n}\n\nUse approval date and document number from Belgenin onay tarihi and Belge no, not earlier construction licences. permit_purpose is the selected option under Belgenin verili\u015f amac\u0131. Map cadastral identifiers from Pafta No, Ada No, Parsel No and Blok No. Keep Yap\u0131 in\u015faat alan\u0131 separate from Toplam yap\u0131 in\u015faat alan\u0131; do not substitute the permitted-part area. Omit printed area units; preserve numeric separators and dates.\n\nFor handwritten entries completed on preprinted date templates, include the printed year prefix. Treat standalone asterisks, dashes and dotted placeholders as null; retain punctuation within actual document numbers.\n\nPreserve the text as written; join line breaks within a field with spaces. Do not infer missing information or translate. Use strings for extracted values and null for missing or unreadable fields. Include every key. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 15, "reference_fields": 15, "predicted_fields": 15, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 17.8752}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 532, "image": "image_6d5a4e0f139967521ae586ec_jpg.rf.ae351f9977ef2e39af4e3fc1f2c0e46b.jpg", "expected": "250116", "predicted": "250116", "correct": true, "input_tokens": 1143, "output_tokens": 589, "elapsed_seconds": 8.608689708053134, "metadata": {"question": "{\"question\": \"Read the six-digit code engraved on the metal surface. Return only the code as a string of digits, preserving leading zeros. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "1d382c9380de59c3061885f00644570b86b5a5fb79c91a49e079fc27566d986b", "category": "single_string", "subset": "f2a87f15a0d3eb96", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "6463cf07b9b2d6a63267a9c9b5180f17dbee452db15ed069132506a315aed859", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the six-digit code engraved on the metal surface. Return only the code as a string of digits, preserving leading zeros. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 8.6159}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 533, "image": "image_37a9869b0f1e9f8edbdf1f86_jpg.rf.9b0071280b435199fd6c369a63a1bd1a.jpg", "expected": "[{\"bbox\":[544,319,672,454],\"text\":\"M\"},{\"bbox\":[601,522,637,646],\"text\":\"I\"},{\"bbox\":[606,716,718,845],\"text\":\"C\"},{\"bbox\":[798,922,953,1052],\"text\":\"W\"},{\"bbox\":[606,932,721,1057],\"text\":\"A\"},{\"bbox\":[1242,932,1354,1057],\"text\":\"C\"},{\"bbox\":[426,958,500,1081],\"text\":\"J\"},{\"bbox\":[2536,1085,2665,1218],\"text\":\"G\"},{\"bbox\":[2095,1099,2201,1236],\"text\":\"E\"},{\"bbox\":[1886,1120,1992,1253],\"text\":\"S\"},{\"bbox\":[1452,1138,1572,1269],\"text\":\"O\"},{\"bbox\":[1664,1139,1786,1271],\"text\":\"O\"},{\"bbox\":[1254,1144,1342,1272],\"text\":\"L\"},{\"bbox\":[807,1158,925,1292],\"text\":\"A\"},{\"bbox\":[2550,1294,2663,1430],\"text\":\"U\"},{\"bbox\":[1247,1356,1366,1487],\"text\":\"A\"},{\"bbox\":[807,1373,915,1507],\"text\":\"N\"},{\"bbox\":[1925,1373,2028,1505],\"text\":\"U\"},{\"bbox\":[639,1390,667,1517],\"text\":\"I\"},{\"bbox\":[2365,1515,2463,1647],\"text\":\"E\"},{\"bbox\":[2566,1518,2698,1652],\"text\":\"M\"},{\"bbox\":[2144,1560,2245,1694],\"text\":\"E\"},{\"bbox\":[1314,1567,1340,1697],\"text\":\"I\"},{\"bbox\":[1917,1590,2038,1722],\"text\":\"R\"},{\"bbox\":[851,1607,951,1738],\"text\":\"T\"},{\"bbox\":[1481,1799,1597,1926],\"text\":\"Y\"},{\"bbox\":[1061,1803,1174,1929],\"text\":\"R\"},{\"bbox\":[1960,1803,2062,1937],\"text\":\"E\"},{\"bbox\":[1266,1805,1389,1934],\"text\":\"M\"},{\"bbox\":[623,1825,782,1955],\"text\":\"W\"},{\"bbox\":[846,1825,977,1946],\"text\":\"O\"},{\"bbox\":[875,2027,982,2158],\"text\":\"N\"},{\"bbox\":[652,2042,772,2171],\"text\":\"O\"},{\"bbox\":[641,2255,771,2375],\"text\":\"O\"},{\"bbox\":[1060,2457,1180,2590],\"text\":\"G\"},{\"bbox\":[846,2464,976,2585],\"text\":\"O\"},{\"bbox\":[660,2470,744,2598],\"text\":\"L\"},{\"bbox\":[443,2476,539,2603],\"text\":\"B\"},{\"bbox\":[1069,2666,1190,2799],\"text\":\"O\"},{\"bbox\":[1087,2885,1188,3014],\"text\":\"T\"},{\"bbox\":[910,2886,942,3016],\"text\":\"I\"},{\"bbox\":[674,2889,775,3022],\"text\":\"Z\"},{\"bbox\":[1092,3098,1200,3228],\"text\":\"H\"}]", "predicted": "[{\"box_2d\": [79, 179, 111, 223], \"text\": \"M\"}, {\"box_2d\": [128, 198, 160, 211], \"text\": \"I\"}, {\"box_2d\": [178, 200, 209, 236], \"text\": \"C\"}, {\"box_2d\": [236, 141, 267, 166], \"text\": \"J\"}, {\"box_2d\": [230, 202, 261, 241], \"text\": \"A\"}, {\"box_2d\": [229, 263, 260, 317], \"text\": \"W\"}, {\"box_2d\": [231, 411, 262, 449], \"text\": \"C\"}, {\"box_2d\": [286, 268, 319, 307], \"text\": \"A\"}, {\"box_2d\": [283, 415, 314, 443], \"text\": \"L\"}, {\"box_2d\": [282, 479, 314, 520], \"text\": \"O\"}, {\"box_2d\": [283, 550, 315, 591], \"text\": \"O\"}, {\"box_2d\": [279, 623, 311, 659], \"text\": \"S\"}, {\"box_2d\": [274, 694, 306, 728], \"text\": \"E\"}, {\"box_2d\": [269, 839, 302, 881], \"text\": \"G\"}, {\"box_2d\": [344, 211, 376, 220], \"text\": \"I\"}, {\"box_2d\": [340, 267, 372, 303], \"text\": \"N\"}, {\"box_2d\": [336, 412, 369, 452], \"text\": \"A\"}, {\"box_2d\": [340, 635, 373, 672], \"text\": \"U\"}, {\"box_2d\": [321, 845, 354, 882], \"text\": \"U\"}, {\"box_2d\": [397, 281, 429, 315], \"text\": \"T\"}, {\"box_2d\": [389, 434, 421, 442], \"text\": \"I\"}, {\"box_2d\": [394, 634, 426, 673], \"text\": \"R\"}, {\"box_2d\": [386, 709, 419, 744], \"text\": \"E\"}, {\"box_2d\": [376, 779, 409, 813], \"text\": \"E\"}, {\"box_2d\": [377, 849, 410, 892], \"text\": \"M\"}, {\"box_2d\": [451, 203, 484, 258], \"text\": \"W\"}, {\"box_2d\": [448, 280, 481, 321], \"text\": \"O\"}, {\"box_2d\": [447, 353, 479, 391], \"text\": \"R\"}, {\"box_2d\": [447, 417, 479, 459], \"text\": \"M\"}, {\"box_2d\": [445, 489, 477, 528], \"text\": \"Y\"}, {\"box_2d\": [448, 648, 480, 682], \"text\": \"E\"}, {\"box_2d\": [504, 216, 537, 255], \"text\": \"O\"}, {\"box_2d\": [502, 289, 534, 325], \"text\": \"N\"}, {\"box_2d\": [557, 214, 590, 255], \"text\": \"O\"}, {\"box_2d\": [612, 146, 644, 181], \"text\": \"B\"}, {\"box_2d\": [611, 219, 643, 248], \"text\": \"L\"}, {\"box_2d\": [609, 281, 641, 321], \"text\": \"O\"}, {\"box_2d\": [608, 350, 641, 390], \"text\": \"G\"}, {\"box_2d\": [660, 353, 692, 393], \"text\": \"O\"}, {\"box_2d\": [715, 222, 748, 257], \"text\": \"Z\"}, {\"box_2d\": [715, 303, 747, 311], \"text\": \"I\"}, {\"box_2d\": [714, 358, 746, 393], \"text\": \"T\"}, {\"box_2d\": [768, 362, 800, 396], \"text\": \"H\"}]", "correct": true, "input_tokens": 1301, "output_tokens": 4480, "elapsed_seconds": 43.79536429094151, "metadata": {"question": "{\"question\": \"Locate and transcribe the large letter on every visible letter tile.\", \"specification\": \"Use one tight box around each letter, not the tile boundary; keep adjacent tiles separate. Include rotated letters; exclude point values, blank tiles and background text. Return plain text, not LaTeX.\\n\\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\", \"task\": \"localization_recognition\"}", "sample_id": "210e2e4e27fac2ba973648f8bba67b38e410a4ea1b089820b5caafefc7138193", "category": "localization_recognition", "subset": "c7e0eb346c8e2ba1", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "3fa3d79183e4f2ed671867aa2a3cea04dc6b66e839fa48ed07a95feebf67b576", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe the large letter on every visible letter tile.\n\nUse one tight box around each letter, not the tile boundary; keep adjacent tiles separate. Include rotated letters; exclude point values, blank tiles and background text. Return plain text, not LaTeX.\n\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 1.0, "status": "ok", "format_compliant": true, "detection_f1": 1.0, "matched_regions": 43, "reference_regions": 43, "predicted_regions": 43, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 44.3091}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 534, "image": "image_37a9869b0f1e9f8edbdf1f86_jpg.rf.9b0071280b435199fd6c369a63a1bd1a.jpg", "expected": "BLOG\nCLAIM\nGOTH\nGUM\nIN\nJAW\nLOOSE\nMICA\nON\nSURE\nWANTON\nWOOL\nWORMY\nZIT", "predicted": "BLOG\nCLAIM\nGOTH\nGUM\nIN\nJAW\nLOOSE\nMICA\nON\nSURE\nWANTON\nWOOL\nWORMY\nZIT", "correct": true, "input_tokens": 1172, "output_tokens": 2177, "elapsed_seconds": 32.75373154098634, "metadata": {"question": "{\"question\": \"Read all words formed by the letter tiles, including rotated words. Include only words valid in the Merriam-Webster Official Scrabble Players Dictionary. Return them in uppercase, one word per line, in alphabetical order. Preserve spelling and repeated words; do not correct or rearrange letters to make valid words. Ignore isolated letters and background text. Return only the words, without explanations or Markdown.\", \"task\": \"transcription\"}", "sample_id": "2a828d6bf92e4235986a52fb8987b80a52036828d0a1da8cfba9985a14a60d35", "category": "transcription", "subset": "1b7d212231bfff95", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "3fa3d79183e4f2ed671867aa2a3cea04dc6b66e839fa48ed07a95feebf67b576", "text_protocol": "mixed-text-v2", "scoring_profile": "transcription", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read all words formed by the letter tiles, including rotated words. Include only words valid in the Merriam-Webster Official Scrabble Players Dictionary. Return them in uppercase, one word per line, in alphabetical order. Preserve spelling and repeated words; do not correct or rearrange letters to make valid words. Ignore isolated letters and background text. Return only the words, without explanations or Markdown.", "match_method": "transcription", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 33.2793}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 535, "image": "image_bf512e5a6f55b18ec4d9da50_jpg.rf.807fd1283596880fdacf494ea0ebf6fe.jpg", "expected": "{\"grading_company\":\"PMG\",\"year\":null,\"denomination\":null,\"serial_number\":null,\"grade\":\"66\"}", "predicted": "{\n \"grading_company\": \"PMG\",\n \"year\": null,\n \"denomination\": null,\n \"serial_number\": null,\n \"grade\": \"66\"\n}", "correct": true, "input_tokens": 1359, "output_tokens": 5452, "elapsed_seconds": 57.527155208052136, "metadata": {"question": "{\"question\": \"Extract the information printed on this graded banknote and its holder. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"grading_company\\\": null,\\n \\\"year\\\": null,\\n \\\"denomination\\\": null,\\n \\\"serial_number\\\": null,\\n \\\"grade\\\": null\\n}\\n\\nRead serial_number from the banknote and the other fields from the holder. Preserve serial letters, leading zeros and symbols, removing spaces. Return the numeric grade only (e.g., \u201c25 Very Fine\u201d \u2192 \u201c25\u201d).\\n\\nNormalize serial stars to * (e.g., \u201cD20005093\u2606\u201d \u2192 \u201cD20005093*\u201d); omit decorative end marks. Use explicit holder fields for year and denomination, excluding catalog codes. For multiple notes, use the uppermost.\\n\\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "0dce42b29d7127d26b040c1c0b7acabb7a50496f8ea2840ce214f86216068fcf", "category": "structured", "subset": "e95781a757393405", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "04e8f2030fedc9a2c9200583f2323ee33dd2b10fb537e01e12a211e739d1139d", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on this graded banknote and its holder. Return only a valid JSON object with these fields:\n\n{\n \"grading_company\": null,\n \"year\": null,\n \"denomination\": null,\n \"serial_number\": null,\n \"grade\": null\n}\n\nRead serial_number from the banknote and the other fields from the holder. Preserve serial letters, leading zeros and symbols, removing spaces. Return the numeric grade only (e.g., \u201c25 Very Fine\u201d \u2192 \u201c25\u201d).\n\nNormalize serial stars to * (e.g., \u201cD20005093\u2606\u201d \u2192 \u201cD20005093*\u201d); omit decorative end marks. Use explicit holder fields for year and denomination, excluding catalog codes. For multiple notes, use the uppermost.\n\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 5, "reference_fields": 5, "predicted_fields": 5, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 57.5586}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 536, "image": "image_af98fc138c480a95adf240d3_jpg.rf.8cb4152856621b541dc4c3dddf2caaf8.jpg", "expected": "0", "predicted": "0", "correct": true, "input_tokens": 1167, "output_tokens": 489, "elapsed_seconds": 9.025817499961704, "metadata": {"question": "{\"question\": \"Read the weight shown on the digital scale in this image. Return only the numeric reading, preserving the decimal separator and any minus sign. Do not include units or explain.\", \"task\": \"single_string\"}", "sample_id": "f94b3adb9c5e95bf4d249e8f4d0331a43d67c5b28e9ac01f02d1fd34764ad558", "category": "single_string", "subset": "2230d8632391d9a6", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "2fc7956aa26c2ea966d060089b2d7dbd8292612a0cde24d20c018242e87e19bf", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the weight shown on the digital scale in this image. Return only the numeric reading, preserving the decimal separator and any minus sign. Do not include units or explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 9.1085}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 537, "image": "image_13ce14c69c20559dc342bd6e_jpg.rf.4b924cc2a928826bb74167beebc8267d.jpg", "expected": "01831.9", "predicted": "018316", "correct": false, "input_tokens": 1135, "output_tokens": 7175, "elapsed_seconds": 81.19460933294613, "metadata": {"question": "{\"question\": \"Read the total mileage shown on the odometer in this image. Return only the numeric reading, preserving leading zeros and any decimal separator. Do not include the trip reading, units, or explain.\", \"task\": \"single_string\"}", "sample_id": "29488ea607b45f424a2903227df158d6df65aed0aeaf0266c44bd9503216bbaa", "category": "single_string", "subset": "12ff5ae87687aff8", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "694abd79d966776fc1d42be228879ba0bf2328f7f9fde9c427cdb0f4b0beddef", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the total mileage shown on the odometer in this image. Return only the numeric reading, preserving leading zeros and any decimal separator. Do not include the trip reading, units, or explain.", "match_method": "single_string", "score": 0.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 81.2767}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 538, "image": "image_191faade506f5b258e2b1596_png_jpg.rf.322ad44a8d4f09764acd061258e6742d.jpg", "expected": "{\"columns\":[null,null,\"UDIT RAJ\",\"YOGENDER CHANDOLIYA\",\"VIJAY BAUDDH\",\"K M KAJAL\",\"ADV. KRUPAL\",\"KHILKHILAKAR\",\"NAND RAM BAGRI\",\"NARESH KUMAR\",\"POOJA (BHAGTANI)\",\"PRAVEEN GAUTAM\",\"PREETI\",\"ADVOCATE DR. MAHENDER SINGH CHURIYANA\",\"RAJENDER SOOD\",\"SHYAM BHARTEEY\",\"ADVOCATE SATISH CHANDRA\",\"SUBHASH\",\"SURESH KUMAR\",\"SANJAY KUMAR SIWAL\",\"ADITI\",\"CHANDER PAL SONI\",\"NARESH KUMAR\",\"PARMENDRA MANJHI\",\"PUSHPA NAGRA\",\"PRADEEP KUMAR\",\"SATYA PRAKASH UTTRAKHANDI\",\"HARI KISHAN (MECHANIC)\",\"Total of Valid Votes\",\"No. Of Rejected Votes\",\"Votes for NOTA\",\"Total\",\"No. Of Tendered Votes\"],\"rows\":[[\"1\",\"1\",\"157\",\"272\",\"2\",\"2\",\"0\",\"1\",\"2\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"2\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"440\",\"0\",\"3\",\"443\",\"0\"],[\"2\",\"2\",\"267\",\"478\",\"2\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"1\",\"0\",\"2\",\"0\",\"1\",\"1\",\"0\",\"0\",\"0\",\"1\",\"0\",\"756\",\"0\",\"8\",\"764\",\"0\"],[\"3\",\"3\",\"235\",\"472\",\"3\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"1\",\"0\",\"3\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"718\",\"0\",\"6\",\"724\",\"0\"],[\"4\",\"4\",\"183\",\"461\",\"2\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"647\",\"0\",\"16\",\"663\",\"0\"],[\"5\",\"5\",\"302\",\"562\",\"3\",\"2\",\"0\",\"0\",\"0\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"1\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"875\",\"0\",\"7\",\"882\",\"0\"],[\"6\",\"6\",\"156\",\"383\",\"3\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"545\",\"0\",\"1\",\"546\",\"0\"],[\"7\",\"7\",\"190\",\"425\",\"4\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"1\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"624\",\"0\",\"3\",\"627\",\"0\"],[\"8\",\"8\",\"283\",\"590\",\"5\",\"0\",\"1\",\"0\",\"1\",\"0\",\"1\",\"1\",\"1\",\"0\",\"1\",\"1\",\"0\",\"0\",\"1\",\"2\",\"0\",\"2\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"891\",\"0\",\"10\",\"901\",\"0\"]]}", "predicted": "{\"columns\":[\"Serial No. Of Polling Station\",null,\"UDIT RAJ\",\"YOGENDER CHANDOLIYA\",\"VIJAY BAUDDH\",\"K M KAJAL\",\"ADV. KRUPAL\",\"KHILKHILAKAR\",\"NAND RAM BAGRI\",\"NARESH KUMAR\",\"POOJA (BHAGTANI)\",\"PRAVEEN GAUTAM\",\"PREETI\",\"ADVOCATE DR. MAHENDER SINGH CHURIYANA\",\"RAJENDER SOOD\",\"SHYAM BHARTEEY\",\"ADVOCATE SATISH CHANDRA\",\"SUBHASH\",\"SURESH KUMAR\",\"SANJAY KUMAR SIWAL\",\"ADITI\",\"CHANDER PAL SONI\",\"NARESH KUMAR\",\"PARMENDRA MANJHI\",\"PUSHPA NAGRA\",\"PRADEEP KUMAR\",\"SATYA PRAKASH UTTRAKHANDI\",\"HARI KISHAN (MECHANIC)\",\"Total of Valid Votes\",\"No. Of Rejected Votes\",\"Votes for NOTA\",\"Total\",\"No. Of Tendered Votes\"],\"rows\":[[\"1\",\"1\",\"157\",\"272\",\"2\",\"2\",\"0\",\"1\",\"2\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"2\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"440\",\"0\",\"3\",\"443\",\"0\"],[\"2\",\"2\",\"267\",\"478\",\"2\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"1\",\"0\",\"2\",\"0\",\"1\",\"1\",\"0\",\"0\",\"0\",\"1\",\"0\",\"756\",\"0\",\"8\",\"764\",\"0\"],[\"3\",\"3\",\"235\",\"472\",\"3\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"1\",\"0\",\"3\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"718\",\"0\",\"6\",\"724\",\"0\"],[\"4\",\"4\",\"183\",\"461\",\"2\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"647\",\"0\",\"16\",\"663\",\"0\"],[\"5\",\"5\",\"302\",\"562\",\"3\",\"2\",\"0\",\"0\",\"0\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"1\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"875\",\"0\",\"7\",\"882\",\"0\"],[\"6\",\"6\",\"156\",\"383\",\"3\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"545\",\"0\",\"1\",\"546\",\"0\"],[\"7\",\"7\",\"190\",\"425\",\"4\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"1\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"624\",\"0\",\"3\",\"627\",\"0\"],[\"8\",\"8\",\"283\",\"590\",\"5\",\"0\",\"1\",\"0\",\"1\",\"0\",\"1\",\"1\",\"1\",\"0\",\"1\",\"1\",\"0\",\"0\",\"1\",\"2\",\"0\",\"2\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"891\",\"0\",\"10\",\"901\",\"0\"]]}", "correct": false, "input_tokens": 1281, "output_tokens": 5993, "elapsed_seconds": 51.118116084020585, "metadata": {"question": "{\"question\": \"Extract the election-results table from this image. Return only a valid JSON object with this structure:\\n\\n{\\n \\\"columns\\\": [],\\n \\\"rows\\\": []\\n}\\n\\nReturn every leaf column left-to-right, including row identifiers, candidate names and summary columns. Join multi-line column headings with spaces; omit shared spanning headings. Use null for a leaf column without its own heading; do not invent or duplicate a spanning heading. Return rows as arrays of cells aligned with columns, top-to-bottom, including any printed total rows. Preserve zeros, identifiers and printed symbols; use null for blank or unreadable cells, never 0. Do not calculate totals or fill values from neighboring cells. Each row must contain exactly one cell per column.\\n\\nPreserve text as printed or handwritten, joining line breaks within a field with spaces. Do not infer missing information or translate. Include every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "afe8b03e5dfde69fc7313008c87e5c31d3cd7aa0ea91391a00f6fd754700f324", "category": "structured", "subset": "632de14cb0143303", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "62552f487d368913658d3f8a38e0c0779d12052911fed57e1482fdac787c462d", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the election-results table from this image. Return only a valid JSON object with this structure:\n\n{\n \"columns\": [],\n \"rows\": []\n}\n\nReturn every leaf column left-to-right, including row identifiers, candidate names and summary columns. Join multi-line column headings with spaces; omit shared spanning headings. Use null for a leaf column without its own heading; do not invent or duplicate a spanning heading. Return rows as arrays of cells aligned with columns, top-to-bottom, including any printed total rows. Preserve zeros, identifiers and printed symbols; use null for blank or unreadable cells, never 0. Do not calculate totals or fill values from neighboring cells. Each row must contain exactly one cell per column.\n\nPreserve text as printed or handwritten, joining line breaks within a field with spaces. Do not infer missing information or translate. Include every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 0.9966, "status": "ok", "format_compliant": true, "matched_fields": 296, "reference_fields": 297, "predicted_fields": 297, "non_null_field_accuracy": 1.0, "object_exact_match": false, "attempts": 1, "retries": 0, "total_seconds": 51.1745}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 539, "image": "image_614c63d63474f16127c8387b_jpg.rf.042b6f3f94dbfd1b332fa1019ba0352f.jpg", "expected": "{\"issuing_authority\":\"TUZLA BELED\u0130YES\u0130\",\"approval_date\":\"12/02/2025\",\"document_number\":\"30/25\",\"permit_purpose\":\"Yap\u0131 Kullanma \u0130zni\",\"map_sheet_number\":null,\"block_number\":\"0\",\"parcel_number\":\"8226\",\"building_block_number\":\"P\",\"building_class\":\"III\",\"building_group\":\"B\",\"floors_below_road\":\"2\",\"floors_above_road\":\"4\",\"total_floors\":\"6\",\"building_construction_area\":\"5084,53\",\"all_buildings_construction_area\":\"71602,12\"}", "predicted": "{\n \"issuing_authority\": \"TUZLA BELED\u0130YES\u0130\",\n \"approval_date\": \"12/02/2025\",\n \"document_number\": \"30/25\",\n \"permit_purpose\": \"Yap\u0131 Kullanma \u0130zni\",\n \"map_sheet_number\": null,\n \"block_number\": \"0\",\n \"parcel_number\": \"8226\",\n \"building_block_number\": \"P\",\n \"building_class\": \"III\",\n \"building_group\": \"B\",\n \"floors_below_road\": \"2\",\n \"floors_above_road\": \"4\",\n \"total_floors\": \"6\",\n \"building_construction_area\": \"5084,53\",\n \"all_buildings_construction_area\": \"71602,12\"\n}", "correct": true, "input_tokens": 1477, "output_tokens": 1487, "elapsed_seconds": 16.561927875038236, "metadata": {"question": "{\"question\": \"Extract these identification and building fields from the building-use permit. Return only a valid JSON object with this structure:\\n\\n{\\n \\\"issuing_authority\\\": null,\\n \\\"approval_date\\\": null,\\n \\\"document_number\\\": null,\\n \\\"permit_purpose\\\": null,\\n \\\"map_sheet_number\\\": null,\\n \\\"block_number\\\": null,\\n \\\"parcel_number\\\": null,\\n \\\"building_block_number\\\": null,\\n \\\"building_class\\\": null,\\n \\\"building_group\\\": null,\\n \\\"floors_below_road\\\": null,\\n \\\"floors_above_road\\\": null,\\n \\\"total_floors\\\": null,\\n \\\"building_construction_area\\\": null,\\n \\\"all_buildings_construction_area\\\": null\\n}\\n\\nUse approval date and document number from Belgenin onay tarihi and Belge no, not earlier construction licences. permit_purpose is the selected option under Belgenin verili\u015f amac\u0131. Map cadastral identifiers from Pafta No, Ada No, Parsel No and Blok No. Keep Yap\u0131 in\u015faat alan\u0131 separate from Toplam yap\u0131 in\u015faat alan\u0131; do not substitute the permitted-part area. Omit printed area units; preserve numeric separators and dates.\\n\\nFor handwritten entries completed on preprinted date templates, include the printed year prefix. Treat standalone asterisks, dashes and dotted placeholders as null; retain punctuation within actual document numbers.\\n\\nPreserve the text as written; join line breaks within a field with spaces. Do not infer missing information or translate. Use strings for extracted values and null for missing or unreadable fields. Include every key. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "5aa3438976effa400e4af2df36130bbda3b84e37735ac635fb43e5adbfa22ef6", "category": "structured", "subset": "1ced26f23029a4b6", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "74cb88355e9a6e5b7416a61153bd2711665c362f38b45b8b89b327bcd39ec6b7", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract these identification and building fields from the building-use permit. Return only a valid JSON object with this structure:\n\n{\n \"issuing_authority\": null,\n \"approval_date\": null,\n \"document_number\": null,\n \"permit_purpose\": null,\n \"map_sheet_number\": null,\n \"block_number\": null,\n \"parcel_number\": null,\n \"building_block_number\": null,\n \"building_class\": null,\n \"building_group\": null,\n \"floors_below_road\": null,\n \"floors_above_road\": null,\n \"total_floors\": null,\n \"building_construction_area\": null,\n \"all_buildings_construction_area\": null\n}\n\nUse approval date and document number from Belgenin onay tarihi and Belge no, not earlier construction licences. permit_purpose is the selected option under Belgenin verili\u015f amac\u0131. Map cadastral identifiers from Pafta No, Ada No, Parsel No and Blok No. Keep Yap\u0131 in\u015faat alan\u0131 separate from Toplam yap\u0131 in\u015faat alan\u0131; do not substitute the permitted-part area. Omit printed area units; preserve numeric separators and dates.\n\nFor handwritten entries completed on preprinted date templates, include the printed year prefix. Treat standalone asterisks, dashes and dotted placeholders as null; retain punctuation within actual document numbers.\n\nPreserve the text as written; join line breaks within a field with spaces. Do not infer missing information or translate. Use strings for extracted values and null for missing or unreadable fields. Include every key. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 15, "reference_fields": 15, "predicted_fields": 15, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 16.6116}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 540, "image": "image_0bf3885975387658b7964dcb_jpg.rf.2ab1b34ed5bcf0b93041abb022beddbf.jpg", "expected": "0.118", "predicted": "0.118", "correct": true, "input_tokens": 1167, "output_tokens": 432, "elapsed_seconds": 8.784073124988936, "metadata": {"question": "{\"question\": \"Read the weight shown on the digital scale in this image. Return only the numeric reading, preserving the decimal separator and any minus sign. Do not include units or explain.\", \"task\": \"single_string\"}", "sample_id": "05f6a2df85c1b9ec32a8260eb7d6f8f1ed028edb2aa12cd506b17e349b168157", "category": "single_string", "subset": "2230d8632391d9a6", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "82cbac4f070503e046badb52e35ed34334d74f1b36dc5442b070d15cbfabb896", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the weight shown on the digital scale in this image. Return only the numeric reading, preserving the decimal separator and any minus sign. Do not include units or explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 8.8864}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 541, "image": "image_da5d052831d1da3125a37b20_jpg.rf.eab354ee1f9e3214cac29d1556923e2a.jpg", "expected": "{\"validity_period\":null,\"offers\":[{\"product_name\":\"POMODORO SAN MARZANO DOP SAPORI&DINTORNI CONAD\",\"price\":\"1,29 \u20ac\",\"price_basis\":null},{\"product_name\":\"PESTO FRESCO ALLA GENOVESE SAPORI&DINTORNI CONAD con basilico genovese dop\",\"price\":\"2,19 \u20ac\",\"price_basis\":null},{\"product_name\":\"BURRATA PUGLIESE SAPORI&DINTORNI CONAD lavorata a mano\",\"price\":\"2,75 \u20ac\",\"price_basis\":null},{\"product_name\":\"POMODORO CAMONE SAPORI&DINTORNI CONAD origine Italia, categoria I\",\"price\":\"1,79 \u20ac\",\"price_basis\":null},{\"product_name\":\"LINEA LEGUMI E CEREALI SAPORI&DINTORNI\",\"price\":null,\"price_basis\":null},{\"product_name\":\"VINO BARBARESCO DOCG TERREDAVINO\",\"price\":\"10,49 \u20ac\",\"price_basis\":null},{\"product_name\":\"OLIVE TAGGIASCHE CITRES in olio\",\"price\":\"2,59 \u20ac\",\"price_basis\":null}]}", "predicted": "{\"validity_period\": null, \"offers\": [{\"product_name\": \"POMODORO SAN MARZANO DOP SAPORI&DINTORNI CONAD\", \"price\": \"1,29 \u20ac\", \"price_basis\": null}, {\"product_name\": \"PESTO FRESCO ALLA GENOVESE SAPORI&DINTORNI CONAD\", \"price\": \"2,19 \u20ac\", \"price_basis\": null}, {\"product_name\": \"BURRATA PUGLIESE SAPORI&DINTORNI CONAD\", \"price\": \"2,75 \u20ac\", \"price_basis\": null}, {\"product_name\": \"POMODORO CAMONE SAPORI&DINTORNI CONAD\", \"price\": \"1,79 \u20ac\", \"price_basis\": null}, {\"product_name\": \"LINEA LEGUMI E CEREALI SAPORI&DINTORNI\", \"price\": null, \"price_basis\": null}, {\"product_name\": \"VINO BARBARESCO DOCG TERREDAVINO\", \"price\": \"10,49 \u20ac\", \"price_basis\": null}, {\"product_name\": \"OLIVE TAGGIASCHE CITRES\", \"price\": \"2,59 \u20ac\", \"price_basis\": null}]}", "correct": false, "input_tokens": 1428, "output_tokens": 1572, "elapsed_seconds": 15.853155249962583, "metadata": {"question": "{\"question\": \"Extract the information printed on this retail leaflet page. Return only a valid JSON object with this structure:\\n\\n{\\n \\\"validity_period\\\": null,\\n \\\"offers\\\": [\\n {\\n \\\"product_name\\\": null,\\n \\\"price\\\": null,\\n \\\"price_basis\\\": null\\n }\\n ]\\n}\\n\\nReturn product blocks in visual rows, left-to-right. Use the printed product description, excluding variant lists and text only on pictured packaging. Include a separately printed brand above the description only if not already named there.\\n\\nUse the prominent advertised price, not previous or comparison prices. Join raised cents with a decimal comma; place any printed currency after the amount with one space (e.g., \u20ac4\u2079\u2079 \u2192 4,99 \u20ac). Do not infer currency or calculate prices. Keep ply counts in product_name. Put the selling basis in price_basis (al kg \u2192 /kg, al pz \u2192 /pz, confezione \u2192 confezione).\\n\\nUse only page-wide validity dates, without weekdays; an end-only date is allowed. Exclude unrestricted marketing slogans. Discount-only offers have price:null.\\n\\nPreserve text as printed, joining line breaks within a field with spaces. Do not infer missing information or translate. Include every key. Use strings for extracted values and null for missing or unreadable values; retain arrays as arrays. Return empty arrays when there are no entries. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "32eaa06b9b44c70763c04956b4332c263e1ff6e34c1975b4aeaccf6e139c696a", "category": "structured", "subset": "660e48d305d84282", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "6b0047daa6bf4eb9eec31a80c34adad2f8d1bfda92763253969f3cf328374164", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on this retail leaflet page. Return only a valid JSON object with this structure:\n\n{\n \"validity_period\": null,\n \"offers\": [\n {\n \"product_name\": null,\n \"price\": null,\n \"price_basis\": null\n }\n ]\n}\n\nReturn product blocks in visual rows, left-to-right. Use the printed product description, excluding variant lists and text only on pictured packaging. Include a separately printed brand above the description only if not already named there.\n\nUse the prominent advertised price, not previous or comparison prices. Join raised cents with a decimal comma; place any printed currency after the amount with one space (e.g., \u20ac4\u2079\u2079 \u2192 4,99 \u20ac). Do not infer currency or calculate prices. Keep ply counts in product_name. Put the selling basis in price_basis (al kg \u2192 /kg, al pz \u2192 /pz, confezione \u2192 confezione).\n\nUse only page-wide validity dates, without weekdays; an end-only date is allowed. Exclude unrestricted marketing slogans. Discount-only offers have price:null.\n\nPreserve text as printed, joining line breaks within a field with spaces. Do not infer missing information or translate. Include every key. Use strings for extracted values and null for missing or unreadable values; retain arrays as arrays. Return empty arrays when there are no entries. Do not include explanations or Markdown.", "match_method": "structured", "score": 0.8182, "status": "ok", "format_compliant": true, "matched_fields": 18, "reference_fields": 22, "predicted_fields": 22, "non_null_field_accuracy": 0.6923076923076923, "object_exact_match": false, "attempts": 1, "retries": 0, "total_seconds": 15.8945}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 542, "image": "image_c53ef46b79c3518d29d7eb57_png_jpg.rf.2cc01ff64cf75675d77501d6d6749bae.jpg", "expected": "{\"columns\":[null,null,\"UDIT RAJ\",\"YOGENDER CHANDOLIYA\",\"VIJAY BAUDDH\",\"K M KAJAL\",\"ADV. KRUPAL\",\"KHILKHILAKAR\",\"NAND RAM BAGRI\",\"NARESH KUMAR\",\"POOJA (BHAGTANI)\",\"PRAVEEN GAUTAM\",\"PREETI\",\"ADVOCATE DR. MAHENDER SINGH CHURIYANA\",\"RAJENDER SOOD\",\"SHYAM BHARTEEY\",\"ADVOCATE SATISH CHANDRA\",\"SUBHASH\",\"SURESH KUMAR\",\"SANJAY KUMAR SIWAL\",\"ADITI\",\"CHANDER PAL SONI\",\"NARESH KUMAR\",\"PARMENDRA MANJHI\",\"PUSHPA NAGRA\",\"PRADEEP KUMAR\",\"SATYA PRAKASH UTTRAKHANDI\",\"HARI KISHAN (MECHANIC)\",\"Total of Valid Votes\",\"No. Of Rejected Votes\",\"Votes for NOTA\",\"Total\",\"No. Of Tendered Votes\"],\"rows\":[[\"241\",\"241\",\"193\",\"314\",\"5\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"2\",\"1\",\"1\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"518\",\"0\",\"1\",\"519\",\"0\"],[\"242\",\"242\",\"192\",\"376\",\"6\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"1\",\"0\",\"0\",\"0\",\"1\",\"1\",\"2\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"583\",\"0\",\"3\",\"586\",\"0\"],[\"243\",\"243\",\"290\",\"409\",\"12\",\"1\",\"1\",\"0\",\"1\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"2\",\"4\",\"0\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"724\",\"0\",\"6\",\"730\",\"0\"],[\"244\",\"244\",\"233\",\"392\",\"12\",\"1\",\"1\",\"1\",\"2\",\"0\",\"0\",\"1\",\"0\",\"2\",\"0\",\"1\",\"0\",\"0\",\"2\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"651\",\"0\",\"4\",\"655\",\"0\"],[\"245\",\"245\",\"283\",\"432\",\"8\",\"0\",\"2\",\"1\",\"0\",\"0\",\"1\",\"0\",\"0\",\"2\",\"0\",\"3\",\"0\",\"1\",\"2\",\"2\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"738\",\"0\",\"2\",\"740\",\"0\"],[\"246\",\"246\",\"294\",\"494\",\"21\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"1\",\"3\",\"0\",\"1\",\"2\",\"1\",\"2\",\"0\",\"2\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"825\",\"0\",\"3\",\"828\",\"0\"],[\"247\",\"247\",\"374\",\"318\",\"6\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"2\",\"1\",\"2\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"708\",\"0\",\"3\",\"711\",\"0\"],[\"248\",\"248\",\"264\",\"536\",\"11\",\"0\",\"1\",\"0\",\"0\",\"2\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"1\",\"0\",\"0\",\"4\",\"0\",\"0\",\"0\",\"0\",\"0\",\"822\",\"0\",\"4\",\"826\",\"0\"]]}", "predicted": "{\"columns\":[\"Serial No. Of Polling Station\",null,\"UDIT RAJ\",\"YOGENDER CHANDOLIYA\",\"VIJAY BAUDDH\",\"K M KAJAL\",\"ADV. KRUPAL\",\"KHILKHILAKAR\",\"NAND RAM BAGRI\",\"NARESH KUMAR\",\"POOJA (BHAGTANI)\",\"PRAVEEN GAUTAM\",\"PREETI\",\"ADVOCATE DR. MAHENDER SINGH CHURIYANA\",\"RAJENDER SOOD\",\"SHYAM BHARTEEY\",\"ADVOCATE SATISH CHANDRA\",\"SUBHASH\",\"SURESH KUMAR\",\"SANJAY KUMAR SIWAL\",\"ADITI\",\"CHANDER PAL SONI\",\"NARESH KUMAR\",\"PARMENDRA MANJHI\",\"PUSHPA NAGRA\",\"PRADEEP KUMAR\",\"SATYA PRAKASH UTTRAKHANDI\",\"HARI KISHAN (MECHANIC)\",\"Total of Valid Votes\",\"No. Of Rejected Votes\",\"Votes for NOTA\",\"Total\",\"No. Of Tendered Votes\"],\"rows\":[[\"241\",\"241\",\"193\",\"314\",\"5\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"2\",\"1\",\"1\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"518\",\"0\",\"1\",\"519\",\"0\"],[\"242\",\"242\",\"192\",\"376\",\"6\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"1\",\"0\",\"0\",\"0\",\"1\",\"1\",\"2\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"583\",\"0\",\"3\",\"586\",\"0\"],[\"243\",\"243\",\"290\",\"409\",\"12\",\"1\",\"1\",\"0\",\"1\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"2\",\"4\",\"0\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"724\",\"0\",\"6\",\"730\",\"0\"],[\"244\",\"244\",\"233\",\"392\",\"12\",\"1\",\"1\",\"1\",\"2\",\"0\",\"0\",\"1\",\"0\",\"2\",\"0\",\"1\",\"0\",\"0\",\"2\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"651\",\"0\",\"4\",\"655\",\"0\"],[\"245\",\"245\",\"283\",\"432\",\"8\",\"0\",\"2\",\"1\",\"0\",\"0\",\"1\",\"0\",\"0\",\"2\",\"0\",\"3\",\"0\",\"1\",\"2\",\"2\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"738\",\"0\",\"2\",\"740\",\"0\"],[\"246\",\"246\",\"294\",\"494\",\"21\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"1\",\"3\",\"0\",\"1\",\"2\",\"1\",\"2\",\"0\",\"2\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"825\",\"0\",\"3\",\"828\",\"0\"],[\"247\",\"247\",\"374\",\"318\",\"6\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"2\",\"1\",\"2\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"708\",\"0\",\"3\",\"711\",\"0\"],[\"248\",\"248\",\"264\",\"536\",\"11\",\"0\",\"1\",\"0\",\"0\",\"2\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"1\",\"0\",\"0\",\"4\",\"0\",\"0\",\"0\",\"0\",\"0\",\"822\",\"0\",\"4\",\"826\",\"0\"]]}", "correct": false, "input_tokens": 1281, "output_tokens": 4558, "elapsed_seconds": 41.621167042059824, "metadata": {"question": "{\"question\": \"Extract the election-results table from this image. Return only a valid JSON object with this structure:\\n\\n{\\n \\\"columns\\\": [],\\n \\\"rows\\\": []\\n}\\n\\nReturn every leaf column left-to-right, including row identifiers, candidate names and summary columns. Join multi-line column headings with spaces; omit shared spanning headings. Use null for a leaf column without its own heading; do not invent or duplicate a spanning heading. Return rows as arrays of cells aligned with columns, top-to-bottom, including any printed total rows. Preserve zeros, identifiers and printed symbols; use null for blank or unreadable cells, never 0. Do not calculate totals or fill values from neighboring cells. Each row must contain exactly one cell per column.\\n\\nPreserve text as printed or handwritten, joining line breaks within a field with spaces. Do not infer missing information or translate. Include every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "5a920086d972fa99d030e924d98c27c7231d1252b8d846a453901c78373255cf", "category": "structured", "subset": "632de14cb0143303", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "12e800a4f1bc279a642579a93e407f1a636b74a40199cd8ab85f4af6e8b5eed6", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the election-results table from this image. Return only a valid JSON object with this structure:\n\n{\n \"columns\": [],\n \"rows\": []\n}\n\nReturn every leaf column left-to-right, including row identifiers, candidate names and summary columns. Join multi-line column headings with spaces; omit shared spanning headings. Use null for a leaf column without its own heading; do not invent or duplicate a spanning heading. Return rows as arrays of cells aligned with columns, top-to-bottom, including any printed total rows. Preserve zeros, identifiers and printed symbols; use null for blank or unreadable cells, never 0. Do not calculate totals or fill values from neighboring cells. Each row must contain exactly one cell per column.\n\nPreserve text as printed or handwritten, joining line breaks within a field with spaces. Do not infer missing information or translate. Include every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 0.9966, "status": "ok", "format_compliant": true, "matched_fields": 296, "reference_fields": 297, "predicted_fields": 297, "non_null_field_accuracy": 1.0, "object_exact_match": false, "attempts": 4, "retries": 3, "total_seconds": 237.3794, "transient_errors": ["RemoteProtocolError", "RemoteProtocolError", "RemoteProtocolError"]}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 543, "image": "image_8f0e816d2938e480d8eacd5c_jpg.rf.196696778d53e7318409bcd7614c59ee.jpg", "expected": "37", "predicted": "57", "correct": false, "input_tokens": 1152, "output_tokens": 1609, "elapsed_seconds": 25.39523033401929, "metadata": {"question": "{\"question\": \"Read the house number on the address plate in this image. Return only the number, including any letters, hyphens, or slashes. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "c4ccfd01604c57bed50fc3aec5529733d42a14813cf047f590e9007a5eddd5a8", "category": "single_string", "subset": "4788f963011764ba", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "0581bb4586f5fa6aaaa2f56c70e1f0a0789ec9e21a4613548b2f5f8bec1fa5db", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the house number on the address plate in this image. Return only the number, including any letters, hyphens, or slashes. Do not explain.", "match_method": "single_string", "score": 0.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 25.4294}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 544, "image": "image_ca5eaab8c7bb412863c5cafd_jpg.rf.8fb2470c7dcdefe2436c4a742e1b0cf8.jpg", "expected": "241013", "predicted": "241013", "correct": true, "input_tokens": 1148, "output_tokens": 819, "elapsed_seconds": 12.281689957948402, "metadata": {"question": "{\"question\": \"Read the six-digit code engraved on the metal surface. Return only the code as a string of digits, preserving leading zeros. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "23f0e060d977baeb7aa1d2ea0338bf78fe9b1935068f86d9f37fe2d6e51b4341", "category": "single_string", "subset": "f2a87f15a0d3eb96", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "f5147488fd196afc0b1bcb4c23d3248b830ed451a3fea40b14d13d620e5935d9", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the six-digit code engraved on the metal surface. Return only the code as a string of digits, preserving leading zeros. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 12.2984}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 545, "image": "image_46e2dd581c5b60f2987980fc_jpg.rf.e3dfd98bdb1068e010f21dbdc3753911.jpg", "expected": "[{\"bbox\":[161,91,241,103],\"text\":\"PosterJam\"},{\"bbox\":[392,91,471,105],\"text\":\"Challenge\"},{\"bbox\":[237,345,318,368],\"text\":\"great\"},{\"bbox\":[237,370,332,395],\"text\":\"shape!\"},{\"bbox\":[161,539,269,551],\"text\":\"Studio Fluid\"},{\"bbox\":[401,539,470,551],\"text\":\"November\"}]", "predicted": "[{\"box_2d\": [141, 251, 161, 376], \"text\": \"PosterJam\"}, {\"box_2d\": [141, 611, 164, 736], \"text\": \"Challenge\"}, {\"box_2d\": [534, 369, 573, 498], \"text\": \"great\"}, {\"box_2d\": [577, 370, 616, 519], \"text\": \"shape!\"}, {\"box_2d\": [840, 251, 861, 419], \"text\": \"Studio Fluid\"}, {\"box_2d\": [840, 625, 861, 736], \"text\": \"November\"}]", "correct": true, "input_tokens": 1327, "output_tokens": 927, "elapsed_seconds": 10.629015458980575, "metadata": {"question": "{\"question\": \"Locate and transcribe visible text on the poster.\", \"specification\": \"Use one box per text line; keep separate words or letter groups on strongly curved paths in separate boxes. Include rotated text. Exclude decorative shapes, photographs and non-text graphics. Return plain text, not LaTeX.\\n\\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\", \"task\": \"localization_recognition\"}", "sample_id": "592322065beb8f0df61542e829103a2b59b2ae876fd98d84062209cad2628327", "category": "localization_recognition", "subset": "a0ebbce28fa5095a", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "9ee747f3c8a0ae8519d1bc3bc29f0aba29c0106c8c6cd19abda0d1670714ac23", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe visible text on the poster.\n\nUse one box per text line; keep separate words or letter groups on strongly curved paths in separate boxes. Include rotated text. Exclude decorative shapes, photographs and non-text graphics. Return plain text, not LaTeX.\n\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 1.0, "status": "ok", "format_compliant": true, "detection_f1": 1.0, "matched_regions": 6, "reference_regions": 6, "predicted_regions": 6, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 10.6449}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 546, "image": "image_7b171f6ece883d2156c55660_png_jpg.rf.7326c75148e3829938317b50a7473831.jpg", "expected": "{\"columns\":[null,null,\"UDIT RAJ\",\"YOGENDER CHANDOLIYA\",\"VIJAY BAUDDH\",\"K M KAJAL\",\"ADV. KRUPAL\",\"KHILKHILAKAR\",\"NAND RAM BAGRI\",\"NARESH KUMAR\",\"POOJA (BHAGTANI)\",\"PRAVEEN GAUTAM\",\"PREETI\",\"ADVOCATE DR. MAHENDER SINGH CHURIYANA\",\"RAJENDER SOOD\",\"SHYAM BHARTEEY\",\"ADVOCATE SATISH CHANDRA\",\"SUBHASH\",\"SURESH KUMAR\",\"SANJAY KUMAR SIWAL\",\"ADITI\",\"CHANDER PAL SONI\",\"NARESH KUMAR\",\"PARMENDRA MANJHI\",\"PUSHPA NAGRA\",\"PRADEEP KUMAR\",\"SATYA PRAKASH UTTRAKHANDI\",\"HARI KISHAN (MECHANIC)\",\"Total of Valid Votes\",\"No. Of Rejected Votes\",\"Votes for NOTA\",\"Total\",\"No. Of Tendered Votes\"],\"rows\":[[\"61\",\"61\",\"154\",\"586\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"1\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"745\",\"0\",\"14\",\"759\",\"0\"],[\"62\",\"62\",\"145\",\"441\",\"5\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"592\",\"0\",\"6\",\"598\",\"0\"],[\"63\",\"63\",\"127\",\"527\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"659\",\"0\",\"12\",\"671\",\"0\"],[\"64\",\"64\",\"161\",\"543\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"709\",\"0\",\"9\",\"718\",\"0\"],[\"65\",\"65\",\"235\",\"469\",\"4\",\"1\",\"1\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"1\",\"1\",\"2\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"716\",\"0\",\"6\",\"722\",\"0\"],[\"66\",\"66\",\"124\",\"318\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"444\",\"0\",\"8\",\"452\",\"0\"],[\"67\",\"67\",\"231\",\"503\",\"1\",\"0\",\"1\",\"1\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"738\",\"0\",\"10\",\"748\",\"0\"],[\"68\",\"68\",\"164\",\"597\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"1\",\"2\",\"1\",\"0\",\"0\",\"0\",\"0\",\"767\",\"0\",\"11\",\"778\",\"0\"]]}", "predicted": "{\"columns\":[\"Serial No. Of Polling Station\",null,\"UDIT RAJ\",\"YOGENDER CHANDOLIYA\",\"VIJAY BAUDDH\",\"K M KAJAL\",\"ADV. KRUPAL\",\"KHILKHILAKAR\",\"NAND RAM BAGRI\",\"NARESH KUMAR\",\"POOJA (BHAGTANI)\",\"PRAVEEN GAUTAM\",\"PREETI\",\"ADVOCATE DR. MAHENDER SINGH CHURIYANA\",\"RAJENDER SOOD\",\"SHYAM BHARTEEY\",\"ADVOCATE SATISH CHANDRA\",\"SUBHASH\",\"SURESH KUMAR\",\"SANJAY KUMAR SIWAL\",\"ADITI\",\"CHANDER PAL SONI\",\"NARESH KUMAR\",\"PARMENDRA MANJHI\",\"PUSHPA NAGRA\",\"PRADEEP KUMAR\",\"SATYA PRAKASH UTTRAKHANDI\",\"HARI KISHAN (MECHANIC)\",\"Total of Valid Votes\",\"No. Of Rejected Votes\",\"Votes for NOTA\",\"Total\",\"No. Of Tendered Votes\"],\"rows\":[[\"61\",\"61\",\"154\",\"586\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"1\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"745\",\"0\",\"14\",\"759\",\"0\"],[\"62\",\"62\",\"145\",\"441\",\"5\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"592\",\"0\",\"6\",\"598\",\"0\"],[\"63\",\"63\",\"127\",\"527\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"659\",\"0\",\"12\",\"671\",\"0\"],[\"64\",\"64\",\"161\",\"543\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"709\",\"0\",\"9\",\"718\",\"0\"],[\"65\",\"65\",\"235\",\"469\",\"4\",\"1\",\"1\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"1\",\"1\",\"2\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"716\",\"0\",\"6\",\"722\",\"0\"],[\"66\",\"66\",\"124\",\"318\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"444\",\"0\",\"8\",\"452\",\"0\"],[\"67\",\"67\",\"231\",\"503\",\"1\",\"0\",\"1\",\"1\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"738\",\"0\",\"10\",\"748\",\"0\"],[\"68\",\"68\",\"164\",\"597\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"1\",\"2\",\"1\",\"0\",\"0\",\"0\",\"0\",\"767\",\"0\",\"11\",\"778\",\"0\"]]}", "correct": false, "input_tokens": 1270, "output_tokens": 6759, "elapsed_seconds": 53.950546415988356, "metadata": {"question": "{\"question\": \"Extract the election-results table from this image. Return only a valid JSON object with this structure:\\n\\n{\\n \\\"columns\\\": [],\\n \\\"rows\\\": []\\n}\\n\\nReturn every leaf column left-to-right, including row identifiers, candidate names and summary columns. Join multi-line column headings with spaces; omit shared spanning headings. Use null for a leaf column without its own heading; do not invent or duplicate a spanning heading. Return rows as arrays of cells aligned with columns, top-to-bottom, including any printed total rows. Preserve zeros, identifiers and printed symbols; use null for blank or unreadable cells, never 0. Do not calculate totals or fill values from neighboring cells. Each row must contain exactly one cell per column.\\n\\nPreserve text as printed or handwritten, joining line breaks within a field with spaces. Do not infer missing information or translate. Include every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "70c18cdb7280d3119ad00cf16212abca07ec6fd21da2f135409c6fbfcaa6ff32", "category": "structured", "subset": "632de14cb0143303", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "ded0613391f0d0099726a554a23c77c4b868a9df11a819098c56001bc8d0f997", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the election-results table from this image. Return only a valid JSON object with this structure:\n\n{\n \"columns\": [],\n \"rows\": []\n}\n\nReturn every leaf column left-to-right, including row identifiers, candidate names and summary columns. Join multi-line column headings with spaces; omit shared spanning headings. Use null for a leaf column without its own heading; do not invent or duplicate a spanning heading. Return rows as arrays of cells aligned with columns, top-to-bottom, including any printed total rows. Preserve zeros, identifiers and printed symbols; use null for blank or unreadable cells, never 0. Do not calculate totals or fill values from neighboring cells. Each row must contain exactly one cell per column.\n\nPreserve text as printed or handwritten, joining line breaks within a field with spaces. Do not infer missing information or translate. Include every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 0.9966, "status": "ok", "format_compliant": true, "matched_fields": 296, "reference_fields": 297, "predicted_fields": 297, "non_null_field_accuracy": 1.0, "object_exact_match": false, "attempts": 1, "retries": 0, "total_seconds": 54.0066}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 547, "image": "image_06641d76383b72f5a220dc49_jpg.rf.4af84c804afe06f29bfc66098f3a723d.jpg", "expected": "23", "predicted": "I am unable to read the jersey number as the image is too pixelated and blurry to discern any digits. Please provide a clearer image.", "correct": false, "input_tokens": 1146, "output_tokens": 304, "elapsed_seconds": 6.337471417034976, "metadata": {"question": "{\"question\": \"Read the basketball jersey number visible in this image. Return only the number as a string of digits. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "8b33d4d31c9b2a6121c1d8fe831357d8b694609edab1acfd8d60fa6784e840f4", "category": "single_string", "subset": "c88e91da6c946745", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "17d4b81c3319753febd3f33535668cf19e74ed38448e2d14ca29f148c3ea4f1d", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the basketball jersey number visible in this image. Return only the number as a string of digits. Do not explain.", "match_method": "single_string", "score": 0.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 6.3429}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 548, "image": "image_6818d92a5387c9a354cfac46_jpg.rf.3e3ff65d745c513b74a239c30ddd7ef0.jpg", "expected": "{\"application_id\":\"56781024\",\"application_date\":\"24032002\",\"product_type\":\"Home Equity\",\"tenure_months\":\"120\",\"loan_amount\":\"340060239\",\"applicant_name\":\"NANDA PAVAN KUMAR\",\"birth_date\":\"24032002\",\"current_address\":\"ABHILASHA PG FLAT NO 408 BELLANDUR 560103 BENGALURU\",\"current_city\":\"GUNTUR\",\"current_state\":\"ANDHRA PRADESH\",\"current_postal_code\":\"500027\",\"current_mobile\":\"9912423789\",\"pan_number\":\"LIIPL0555E7\"}", "predicted": "{\n \"application_id\": \"56781024\",\n \"application_date\": \"24032002\",\n \"product_type\": \"Home Equity\",\n \"tenure_months\": \"120\",\n \"loan_amount\": \"340000230\",\n \"applicant_name\": \"NANDA PAVAN KUMAR\",\n \"birth_date\": \"24032002\",\n \"current_address\": \"ABHILASHA PG FLAT NO 408 BELLANDUR 560103 BENGALURU\",\n \"current_city\": \"GUNTUR\",\n \"current_state\": \"ANDARA PRADESH\",\n \"current_postal_code\": \"500027\",\n \"current_mobile\": \"9912423789\",\n \"pan_number\": \"LIIPL0555E7\"\n}", "correct": false, "input_tokens": 1432, "output_tokens": 3355, "elapsed_seconds": 34.63753116701264, "metadata": {"question": "{\"question\": \"Extract the completed applicant and loan fields from this loan application. Return only a valid JSON object with this structure:\\n\\n{\\n \\\"application_id\\\": null,\\n \\\"application_date\\\": null,\\n \\\"product_type\\\": null,\\n \\\"tenure_months\\\": null,\\n \\\"loan_amount\\\": null,\\n \\\"applicant_name\\\": null,\\n \\\"birth_date\\\": null,\\n \\\"current_address\\\": null,\\n \\\"current_city\\\": null,\\n \\\"current_state\\\": null,\\n \\\"current_postal_code\\\": null,\\n \\\"current_mobile\\\": null,\\n \\\"pan_number\\\": null\\n}\\n\\nUse Application ID No., not Application Form No. Read the current address, not the permanent address. Remove spaces between character boxes in identifiers and numbers; retain word spaces in names and addresses. For product_type, copy the single checked option; use null if none or several are selected. Transcribe date-box contents as written without inventing separators, even if malformed. Keep leading zeros in numbers.\\n\\nPreserve spelling, capitalization and punctuation; join line breaks within a field with spaces. Do not infer, correct or translate. Ignore filler dashes in unused boxes. For current_address, include only Current Residence Address lines, excluding the separately labelled landmark, city, state and postal-code fields. Use strings for values and null for missing or unreadable fields. Include every key. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "19c8c7e8d7c2571be583c672f2dda2df0a3696c1bcc0bf79d4e1e629982189f4", "category": "structured", "subset": "320cb142e1839899", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "3143b3736b30b1812bd18a371753d7b94b157564acc0e866329b807ea269ebf8", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the completed applicant and loan fields from this loan application. Return only a valid JSON object with this structure:\n\n{\n \"application_id\": null,\n \"application_date\": null,\n \"product_type\": null,\n \"tenure_months\": null,\n \"loan_amount\": null,\n \"applicant_name\": null,\n \"birth_date\": null,\n \"current_address\": null,\n \"current_city\": null,\n \"current_state\": null,\n \"current_postal_code\": null,\n \"current_mobile\": null,\n \"pan_number\": null\n}\n\nUse Application ID No., not Application Form No. Read the current address, not the permanent address. Remove spaces between character boxes in identifiers and numbers; retain word spaces in names and addresses. For product_type, copy the single checked option; use null if none or several are selected. Transcribe date-box contents as written without inventing separators, even if malformed. Keep leading zeros in numbers.\n\nPreserve spelling, capitalization and punctuation; join line breaks within a field with spaces. Do not infer, correct or translate. Ignore filler dashes in unused boxes. For current_address, include only Current Residence Address lines, excluding the separately labelled landmark, city, state and postal-code fields. Use strings for values and null for missing or unreadable fields. Include every key. Do not include explanations or Markdown.", "match_method": "structured", "score": 0.8462, "status": "ok", "format_compliant": true, "matched_fields": 11, "reference_fields": 13, "predicted_fields": 13, "non_null_field_accuracy": 0.8461538461538461, "object_exact_match": false, "attempts": 1, "retries": 0, "total_seconds": 34.674}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 549, "image": "image_92ef045c63a9d16d078fd932_jpg.rf.a83d9a1b3ae62744b4953af71ea69391.jpg", "expected": "{\"recipient_name\":\"\u5c71\u672c\u6d69\",\"recipient_furigana\":\"\u9234\u6728\u592a\u90ce\",\"recipient_address\":\"\u9752\u68ee\u770c\u6a2a\u6d5c\u5e02\u65ed\u533a\u5929\u795e\u5cf636\u4e01\u76ee15\u756a16\u53f7\u65e5\u6bd4\u8c37\u516c\u5712\u30b3\u30fc\u30c8646\",\"recipient_position\":\"\u904b\u8ee2\u58eb\",\"salary_payment_amount\":\"71202079\",\"income_after_salary_deduction\":\"99779875\",\"total_income_deductions\":\"23735348\",\"withholding_tax\":null,\"payer_name\":\"\u77f3\u5ddd\u82b1\u5b50\",\"payer_address\":\"\u7e04\u770c\u798f\u751f\u5e02\u897f\u6d45\u834916\u4e01\u76ee11\u756a20\u53f7\u30b3\u30fc\u30dd\u524d\u5f25\u516d412\",\"payer_phone\":\"48-2360-3795\"}", "predicted": "{\n \"recipient_name\": \"\u5c71\u672c\u6d69\",\n \"recipient_furigana\": \"\u9234\u6728\u592a\u90ce\",\n \"recipient_address\": \"\u9752\u68ee\u770c\u6a2a\u6d5c\u5e02\u65ed\u533a\u5929\u795e\u5cf636\u4e01\u76ee15\u756a16\u53f7\u65e5\u6bd4\u8c37\u516c\u5712\u30b3\u30fc\u30c8646\",\n \"recipient_position\": \"\u904b\u8ee2\u58eb\",\n \"salary_payment_amount\": \"71202079\",\n \"income_after_salary_deduction\": \"99779875\",\n \"total_income_deductions\": \"23735348\",\n \"withholding_tax\": null,\n \"payer_name\": \"\u77f3\u5ddd\u82b1\u5b50\",\n \"payer_address\": \"\u7e04\u770c\u798f\u751f\u5e02\u897f\u6d45\u834916\u4e01\u76ee11\u756a20\u53f7\u30b3\u30fc\u30dd\u524d\u5f25\u516d412\",\n \"payer_phone\": \"48-2360-3795\"\n}", "correct": true, "input_tokens": 1418, "output_tokens": 1545, "elapsed_seconds": 17.1161347910529, "metadata": {"question": "{\"question\": \"Extract these fields from the Japanese salary withholding certificate. Return only a valid JSON object with this structure:\\n\\n{\\n \\\"recipient_name\\\": null,\\n \\\"recipient_furigana\\\": null,\\n \\\"recipient_address\\\": null,\\n \\\"recipient_position\\\": null,\\n \\\"salary_payment_amount\\\": null,\\n \\\"income_after_salary_deduction\\\": null,\\n \\\"total_income_deductions\\\": null,\\n \\\"withholding_tax\\\": null,\\n \\\"payer_name\\\": null,\\n \\\"payer_address\\\": null,\\n \\\"payer_phone\\\": null\\n}\\n\\nRecipient fields come from \u652f\u6255\u3092\u53d7\u3051\u308b\u8005; payer fields come from \u652f\u6255\u8005. Map amounts to \u652f\u6255\u91d1\u984d, \u7d66\u4e0e\u6240\u5f97\u63a7\u9664\u5f8c\u306e\u91d1\u984d, \u6240\u5f97\u63a7\u9664\u306e\u984d\u306e\u5408\u8a08\u984d and \u6e90\u6cc9\u5fb4\u53ce\u7a0e\u984d respectively. Join digits across adjacent boxes; omit printed currency/unit headings, preserving visible numeric separators. Copy furigana exactly even if it differs from the name; do not repair inconsistent entries.\\n\\nIgnore typographic spacing inside Japanese names, words and digit strings; join wrapped Japanese text without adding spaces. Use ASCII digits; preserve actual punctuation. Preserve other text as written. Do not infer missing information or translate. Use strings for extracted values and null for missing or unreadable fields. Include every key. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "eda97fc16f25602b5470f528e9eb73307dd7c20fb121991fc288d4cc1f0b0116", "category": "structured", "subset": "7536d2f054eb9bde", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "1f22dcc03f5ad2786ae80f0065978340c5b762b505ae0a129ead5c40d32ffe6e", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract these fields from the Japanese salary withholding certificate. Return only a valid JSON object with this structure:\n\n{\n \"recipient_name\": null,\n \"recipient_furigana\": null,\n \"recipient_address\": null,\n \"recipient_position\": null,\n \"salary_payment_amount\": null,\n \"income_after_salary_deduction\": null,\n \"total_income_deductions\": null,\n \"withholding_tax\": null,\n \"payer_name\": null,\n \"payer_address\": null,\n \"payer_phone\": null\n}\n\nRecipient fields come from \u652f\u6255\u3092\u53d7\u3051\u308b\u8005; payer fields come from \u652f\u6255\u8005. Map amounts to \u652f\u6255\u91d1\u984d, \u7d66\u4e0e\u6240\u5f97\u63a7\u9664\u5f8c\u306e\u91d1\u984d, \u6240\u5f97\u63a7\u9664\u306e\u984d\u306e\u5408\u8a08\u984d and \u6e90\u6cc9\u5fb4\u53ce\u7a0e\u984d respectively. Join digits across adjacent boxes; omit printed currency/unit headings, preserving visible numeric separators. Copy furigana exactly even if it differs from the name; do not repair inconsistent entries.\n\nIgnore typographic spacing inside Japanese names, words and digit strings; join wrapped Japanese text without adding spaces. Use ASCII digits; preserve actual punctuation. Preserve other text as written. Do not infer missing information or translate. Use strings for extracted values and null for missing or unreadable fields. Include every key. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 11, "reference_fields": 11, "predicted_fields": 11, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 2, "retries": 1, "total_seconds": 80.1882, "transient_errors": ["RemoteProtocolError"]}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 550, "image": "image_67a8a418cc68b301ce8957f8_jpg.rf.d801f66706ce4f9f28b592f108a3204f.jpg", "expected": "[{\"bbox\":[245,33,425,106],\"text\":\"INDIAN\"},{\"bbox\":[435,42,598,214],\"text\":\"CUISINE\"},{\"bbox\":[144,91,243,214],\"text\":\"EAST\"},{\"bbox\":[18,319,400,442],\"text\":\"SPICE\"},{\"bbox\":[417,323,733,445],\"text\":\"HUT\"}]", "predicted": "[{\"box_2d\": [58, 297, 177, 517], \"text\": \"INDIAN\"}, {\"box_2d\": [82, 535, 353, 731], \"text\": \"CUISINE\"}, {\"box_2d\": [154, 188, 349, 297], \"text\": \"EAST\"}, {\"box_2d\": [530, 22, 725, 485], \"text\": \"SPICE\"}, {\"box_2d\": [537, 514, 740, 895], \"text\": \"HUT\"}]", "correct": true, "input_tokens": 1296, "output_tokens": 1409, "elapsed_seconds": 17.271707917097956, "metadata": {"question": "{\"question\": \"Locate and transcribe all text on the signs in this image.\", \"specification\": \"Use one box per word or standalone number, including curved words in a single box. Exclude text outside the signs and purely graphical symbols. Return plain text, not LaTeX.\\n\\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\", \"task\": \"localization_recognition\"}", "sample_id": "a6316dac1755ca4f19c5ea2a1b90556addf5c24152bc42d833663afb7eebb721", "category": "localization_recognition", "subset": "21363697af554f8e", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "e61f69a31b38125160252c7e4dc03a5a5731ec1fcb9fe155f17659824c3aef33", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe all text on the signs in this image.\n\nUse one box per word or standalone number, including curved words in a single box. Exclude text outside the signs and purely graphical symbols. Return plain text, not LaTeX.\n\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 1.0, "status": "ok", "format_compliant": true, "detection_f1": 1.0, "matched_regions": 5, "reference_regions": 5, "predicted_regions": 5, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 17.3071}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 551, "image": "image_9dc5b92758140a32d442b5c1_jpg.rf.3379a2b5317fc6f44f06db23a5a3fb17.jpg", "expected": "{\"heat_number\":\"A81278\",\"billet_id\":\"1041\"}", "predicted": "{\n \"heat_number\": \"A81278\",\n \"billet_id\": \"1041\"\n}", "correct": true, "input_tokens": 1241, "output_tokens": 368, "elapsed_seconds": 8.049461084068753, "metadata": {"question": "{\"question\": \"Extract the information printed on the end of this metal billet. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"heat_number\\\": null,\\n \\\"billet_id\\\": null\\n}\\n\\nUse the letter-prefixed code for heat_number and the separate shorter numeric code for billet_id. Preserve leading zeros and omit spaces within codes.\\n\\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "9a003ac47745238e0edacd55f313515f99fb92ff6fc8ed525f3f6b2e70f5d3f0", "category": "structured", "subset": "84ce444ef86dc04d", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "a44b32dcc2ae01d5c44bd9baf88ef148a755dbc5ed1c334bf68668967b3f7eef", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on the end of this metal billet. Return only a valid JSON object with these fields:\n\n{\n \"heat_number\": null,\n \"billet_id\": null\n}\n\nUse the letter-prefixed code for heat_number and the separate shorter numeric code for billet_id. Preserve leading zeros and omit spaces within codes.\n\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 2, "reference_fields": 2, "predicted_fields": 2, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 8.1571}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 552, "image": "image_1498710b7fbcad63e918e548_jpg.rf.db8286edc2e5329a7e74f425681709bf.jpg", "expected": "0.178", "predicted": "0.178", "correct": true, "input_tokens": 1167, "output_tokens": 790, "elapsed_seconds": 11.631969290901907, "metadata": {"question": "{\"question\": \"Read the weight shown on the digital scale in this image. Return only the numeric reading, preserving the decimal separator and any minus sign. Do not include units or explain.\", \"task\": \"single_string\"}", "sample_id": "6da354bea2a10e16dc48846f027bfffa8163b3b733c581da16f786bec388ff66", "category": "single_string", "subset": "2230d8632391d9a6", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "bbce4419beb62363914d5e20140671e3c5f736ecbbf81090415dde77d4fc4b37", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the weight shown on the digital scale in this image. Return only the numeric reading, preserving the decimal separator and any minus sign. Do not include units or explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 11.7289}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 553, "image": "image_c87ae7f578b946abf1033d9d_jpg.rf.f345dc75e8ab203cd673037c01c85ebd.jpg", "expected": "{\"title\":\"Hold Me Tight SEVEN CONVERSATIONS for a LIFETIME of LOVE\",\"author\":\"Dr. Sue Johnson\",\"publisher\":null}", "predicted": "{\n \"title\": \"Hold Me Tight SEVEN CONVERSATIONS for a LIFETIME of LOVE\",\n \"author\": \"Dr. Sue Johnson\",\n \"publisher\": null\n}", "correct": true, "input_tokens": 1301, "output_tokens": 253, "elapsed_seconds": 5.026010917034, "metadata": {"question": "{\"question\": \"Extract the information printed on this book cover. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"title\\\": null,\\n \\\"author\\\": null,\\n \\\"publisher\\\": null\\n}\\n\\nInclude the subtitle in title, but exclude series names, endorsements and promotional badges. Include only the book\u2019s authors in author, preserving their printed order and separators; exclude foreword or introduction contributors. Use visible publisher text only; do not identify a symbol-only logo.\\n\\nExclude edition/volume labels from title and editors from author. Join title and subtitle with a space; do not add punctuation.\\n\\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "fcdb00b9a4b35b952ab4501874af22c5efef8d8c9c268e36685637b6d532db77", "category": "structured", "subset": "3d7fadf0660f8706", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "00d9fc795f6d87b248cae220c2747d0dd4f8ca984cad236985d5edd811e8cc93", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on this book cover. Return only a valid JSON object with these fields:\n\n{\n \"title\": null,\n \"author\": null,\n \"publisher\": null\n}\n\nInclude the subtitle in title, but exclude series names, endorsements and promotional badges. Include only the book\u2019s authors in author, preserving their printed order and separators; exclude foreword or introduction contributors. Use visible publisher text only; do not identify a symbol-only logo.\n\nExclude edition/volume labels from title and editors from author. Join title and subtitle with a space; do not add punctuation.\n\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 3, "reference_fields": 3, "predicted_fields": 3, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 5.035}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 554, "image": "image_af1e02ed3e9b94813cbed8d6_jpg.rf.fb9e441b7c594dbac12ec1ebf3f2f705.jpg", "expected": "0725", "predicted": "0725", "correct": true, "input_tokens": 1212, "output_tokens": 244, "elapsed_seconds": 5.519448583945632, "metadata": {"question": "{\"question\": \"Read the main row of mechanical counter digits on this water meter from left to right, including both black and red digits. Preserve leading zeros. Return only the digits: do not include commas, decimal points, spaces, units, serial numbers, pointers or inset enlargements. For a rolling digit, use the digit whose center is closest to the center of its window; return null if the reading is cropped or any digit is ambiguous. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "9d32992aa987025913c7646e7cda633b2d0d0a0d3dec12f1eaf9c5eadd54ed53", "category": "single_string", "subset": "2fb4de8cc245dee5", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "9057d551c93fa22b07c539bd2ce3036a2dc5a9787246bd2b0f814ace7f9e6a7a", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the main row of mechanical counter digits on this water meter from left to right, including both black and red digits. Preserve leading zeros. Return only the digits: do not include commas, decimal points, spaces, units, serial numbers, pointers or inset enlargements. For a rolling digit, use the digit whose center is closest to the center of its window; return null if the reading is cropped or any digit is ambiguous. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 5.5681}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 555, "image": "image_c1ea565d5df6bcdc8b1de460_jpg.rf.6d986df0cfd4629de28d3f920204b7fe.jpg", "expected": "{\"carrier\":\"FedEx\",\"tracking_number\":\"788500423871\",\"sender_name\":\"Shipping Department Walmart.com (Drop Ship)\",\"sender_address\":\"7 Sunset Way Suites 150 Henderson NV 89014 US\",\"recipient_name\":\"Blandino Pasion\",\"recipient_address\":\"3566 Atlas St San Diego CA 92111 (US)\",\"shipping_service\":\"Home Delivery\",\"weight\":\"8.50 LB\"}", "predicted": "{\n \"carrier\": \"FedEx\",\n \"tracking_number\": \"788500423871\",\n \"sender_name\": \"Shipping Department Walmart.com (Drop Ship)\",\n \"sender_address\": \"7 Sunset Way Suites 150 Henderson NV 89014 US\",\n \"recipient_name\": \"Blandino Pasion\",\n \"recipient_address\": \"3566 Atlas St San Diego CA 92111\",\n \"shipping_service\": \"Home Delivery\",\n \"weight\": \"8.50 LB\"\n}", "correct": false, "input_tokens": 1366, "output_tokens": 2353, "elapsed_seconds": 28.14637779199984, "metadata": {"question": "{\"question\": \"Extract the information printed on this shipping label. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"carrier\\\": null,\\n \\\"tracking_number\\\": null,\\n \\\"sender_name\\\": null,\\n \\\"sender_address\\\": null,\\n \\\"recipient_name\\\": null,\\n \\\"recipient_address\\\": null,\\n \\\"shipping_service\\\": null,\\n \\\"weight\\\": null\\n}\\n\\nIgnore accompanying paperwork. Keep company and department lines in names, not addresses; exclude phone numbers. Return tracking_number without spaces (e.g., \u201c7885 0040 8757\u201d \u2192 \u201c788500408757\u201d). Omit the carrier from shipping_service (e.g., \u201cFedEx Home Delivery\u201d \u2192 \u201cHome Delivery\u201d). Retain weight units and printed country information in addresses.\\n\\nPreserve all other text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "35aa2ad911adfa305d59f86c64a4d5e3f961e12fc1ba579baf4b4351c402c638", "category": "structured", "subset": "ccd97de2b96725a9", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "5b95cb3c696f284383b2f27dd84ade47589187c73937a0ccbbad06318f1b34e5", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on this shipping label. Return only a valid JSON object with these fields:\n\n{\n \"carrier\": null,\n \"tracking_number\": null,\n \"sender_name\": null,\n \"sender_address\": null,\n \"recipient_name\": null,\n \"recipient_address\": null,\n \"shipping_service\": null,\n \"weight\": null\n}\n\nIgnore accompanying paperwork. Keep company and department lines in names, not addresses; exclude phone numbers. Return tracking_number without spaces (e.g., \u201c7885 0040 8757\u201d \u2192 \u201c788500408757\u201d). Omit the carrier from shipping_service (e.g., \u201cFedEx Home Delivery\u201d \u2192 \u201cHome Delivery\u201d). Retain weight units and printed country information in addresses.\n\nPreserve all other text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 0.875, "status": "ok", "format_compliant": true, "matched_fields": 7, "reference_fields": 8, "predicted_fields": 8, "non_null_field_accuracy": 0.875, "object_exact_match": false, "attempts": 1, "retries": 0, "total_seconds": 28.1674}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 556, "image": "image_06216cb2fc241f5de50d5862_jpg.rf.2a1f13ac11ad49a301fde0bf0227fca8.jpg", "expected": "TN61S4947", "predicted": "TN61S4947", "correct": true, "input_tokens": 1167, "output_tokens": 1220, "elapsed_seconds": 19.417397500015795, "metadata": {"question": "{\"question\": \"Read the registration number on the largest visible vehicle license plate. Return only the registration number, reading multiple lines from top to bottom, omitting spaces and preserving letters, digits, leading zeros and hyphens. Exclude country labels, vehicle branding and video overlays. Return null if the complete registration number is unreadable. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "1a1be57fbb40b59f654c8cfd8cae87cdd9c8130a28856a86872e39c84c0d89f9", "category": "single_string", "subset": "d883528f51470f78", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "cf68e1e89a1e41fc5b96a25ab0b6d4b0e5157b63c50292b57d6fbe0c8a79b3b0", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the registration number on the largest visible vehicle license plate. Return only the registration number, reading multiple lines from top to bottom, omitting spaces and preserving letters, digits, leading zeros and hyphens. Exclude country labels, vehicle branding and video overlays. Return null if the complete registration number is unreadable. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 19.4564}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 557, "image": "image_64c012a979cb6355e5114d7c_jpg.rf.ec8123845cbbdfe7a5847e9b63e4c98e.jpg", "expected": "02587", "predicted": "02587", "correct": true, "input_tokens": 1134, "output_tokens": 670, "elapsed_seconds": 10.36560450005345, "metadata": {"question": "{\"question\": \"Read the electricity meter reading shown on the LCD. Return only the reading, preserving leading zeros and any decimal point. Exclude the register code, units and serial number. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "3efb8cb760262db2ef0f4853f4bf5c6b20a449680b2f49fd1b78972c58e57cc1", "category": "single_string", "subset": "0749a0105d22d9d4", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "44376a1a2f799571e0acf92bd7621b443da0d26210d653180e8f81da6964d6bb", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the electricity meter reading shown on the LCD. Return only the reading, preserving leading zeros and any decimal point. Exclude the register code, units and serial number. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 10.4009}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 558, "image": "image_695db97cc7af0c53d3bbf0bd_jpg.rf.12299e3066562d427504147627bad229.jpg", "expected": "[{\"bbox\":[293,438,348,475],\"text\":\"5,8\"},{\"bbox\":[644,611,739,658],\"text\":\"Lst.\"},{\"bbox\":[438,690,825,833],\"text\":\"Gnojau\"},{\"bbox\":[109,763,168,810],\"text\":\"5,8\"},{\"bbox\":[779,1107,844,1146],\"text\":\"5,8\"}]", "predicted": "[{\"box_2d\": [378, 270, 412, 321], \"text\": \"5,8\"}, {\"box_2d\": [534, 594, 574, 675], \"text\": \"Lst\"}, {\"box_2d\": [603, 405, 728, 754], \"text\": \"Gnojau\"}, {\"box_2d\": [668, 99, 704, 152], \"text\": \"5,8\"}, {\"box_2d\": [967, 722, 1000, 777], \"text\": \"5,8\"}]", "correct": false, "input_tokens": 1332, "output_tokens": 1108, "elapsed_seconds": 15.000646749977022, "metadata": {"question": "{\"question\": \"Locate and transcribe all visible map labels, abbreviations and numbers.\", \"specification\": \"Use one box per label line, keeping spaced-out letters of the same label together. Include rotated and curved labels; enclose each curved line in one box. Transcribe only visible characters at image edges. Preserve historical spelling, diacritics and punctuation; do not expand abbreviations or modernize names. Return plain text, not LaTeX.\\n\\nUse tight, axis-aligned boxes. Return entries top-to-bottom, then left-to-right. Use null for a visible region whose text cannot be read, and [] when none are present. Return no explanations or Markdown.\", \"task\": \"localization_recognition\"}", "sample_id": "5a64b476f900406004b1fdd3b99ca34aa36f027d07b018e638b3ba40cd448daf", "category": "localization_recognition", "subset": "60ba2e315b54c16e", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "736873e7953a368c3e8e38d8a996d21852ffd3edf7c70a7a42191dc3f1e0ba7f", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe all visible map labels, abbreviations and numbers.\n\nUse one box per label line, keeping spaced-out letters of the same label together. Include rotated and curved labels; enclose each curved line in one box. Transcribe only visible characters at image edges. Preserve historical spelling, diacritics and punctuation; do not expand abbreviations or modernize names. Return plain text, not LaTeX.\n\nUse tight, axis-aligned boxes. Return entries top-to-bottom, then left-to-right. Use null for a visible region whose text cannot be read, and [] when none are present. Return no explanations or Markdown.\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 0.8, "status": "ok", "format_compliant": true, "detection_f1": 1.0, "matched_regions": 4, "reference_regions": 5, "predicted_regions": 5, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 15.056}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 559, "image": "image_a591c57e015f1e6ea16f4c92_jpg.rf.e36b142c1872adf95b43f33192c4759b.jpg", "expected": "{\"grading\":{\"year\":\"1999\",\"set_name\":\"POKEMON JUNGLE\",\"grade\":\"9.5\",\"certification_number\":\"1336410\"},\"card\":{\"name\":\"Venonat\",\"hp\":\"40\",\"evolves_from\":null,\"card_number\":\"63/64\",\"illustrator\":\"Mitsuhiro Arita\"}}", "predicted": "{\n \"grading\": {\n \"year\": \"1999\",\n \"set_name\": \"POKEMON JUNGLE\",\n \"grade\": \"9.5\",\n \"certification_number\": \"1336410\"\n },\n \"card\": {\n \"name\": \"Venonat\",\n \"hp\": \"40\",\n \"evolves_from\": null,\n \"card_number\": \"63/64\",\n \"illustrator\": \"Mitsuhiro Arita\"\n }\n}", "correct": true, "input_tokens": 1375, "output_tokens": 762, "elapsed_seconds": 10.045304249972105, "metadata": {"question": "{\"question\": \"Extract the information printed on this SGC-graded trading card and its holder. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"grading\\\": {\\n \\\"year\\\": null,\\n \\\"set_name\\\": null,\\n \\\"grade\\\": null,\\n \\\"certification_number\\\": null\\n },\\n \\\"card\\\": {\\n \\\"name\\\": null,\\n \\\"hp\\\": null,\\n \\\"evolves_from\\\": null,\\n \\\"card_number\\\": null,\\n \\\"illustrator\\\": null\\n }\\n}\\n\\nRead grading fields from the holder and card fields from the card. Return the numeric grade only (e.g., \u201c8.5 NM/MT+\u201d \u2192 \u201c8.5\u201d). Exclude gameplay suffixes and level indicators from Pok\u00e9mon names (e.g., \u201cLatias ex\u201d \u2192 \u201cLatias\u201d). Return HP as digits only (e.g., \u201c120 HP\u201d \u2192 \u201c120\u201d).\\n\\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "c7a6e8368677e402278ed78aeb1b3190a1d5da8c8fb10c949b6a08eb4ced41a6", "category": "structured", "subset": "6c56b14aa8dbe996", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "89b09b8dbc45f2e3d28e1e836c8726aad81099026840249a6613d288858a516f", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on this SGC-graded trading card and its holder. Return only a valid JSON object with these fields:\n\n{\n \"grading\": {\n \"year\": null,\n \"set_name\": null,\n \"grade\": null,\n \"certification_number\": null\n },\n \"card\": {\n \"name\": null,\n \"hp\": null,\n \"evolves_from\": null,\n \"card_number\": null,\n \"illustrator\": null\n }\n}\n\nRead grading fields from the holder and card fields from the card. Return the numeric grade only (e.g., \u201c8.5 NM/MT+\u201d \u2192 \u201c8.5\u201d). Exclude gameplay suffixes and level indicators from Pok\u00e9mon names (e.g., \u201cLatias ex\u201d \u2192 \u201cLatias\u201d). Return HP as digits only (e.g., \u201c120 HP\u201d \u2192 \u201c120\u201d).\n\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 9, "reference_fields": 9, "predicted_fields": 9, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 10.1143}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 560, "image": "image_d1e709abe6d29c3d6c9c1af0_jpg.rf.873f401790088c14c1558d0f30477808.jpg", "expected": "26", "predicted": "16", "correct": false, "input_tokens": 1146, "output_tokens": 13619, "elapsed_seconds": 132.31654399994295, "metadata": {"question": "{\"question\": \"Read the basketball jersey number visible in this image. Return only the number as a string of digits. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "ac0b1d17f27bf91fef64b269ac5355e86f2e2cbb25a249ee189a53efc278fcff", "category": "single_string", "subset": "c88e91da6c946745", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "c5fbfe004dbd4985c40d4640a453a15fb6bfc594d98b082a61a140f324a8f831", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the basketball jersey number visible in this image. Return only the number as a string of digits. Do not explain.", "match_method": "single_string", "score": 0.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 132.3191}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 561, "image": "image_6c28736214a87fae3a4bcb63_jpg.rf.5d3c9a28ce8cbd03c3f5bcf399d3b63a.jpg", "expected": "1218890", "predicted": "1218890", "correct": true, "input_tokens": 1180, "output_tokens": 239, "elapsed_seconds": 5.623297457932495, "metadata": {"question": "{\"question\": \"Read the identification code on the utility pole tag. Return only the code, joining vertically stacked characters without spaces and preserving leading zeros and hyphens. Exclude labels such as POLE NO., timestamps and GPS/address overlays. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "11df2c6800c07abb0ec0d68c34d7dad5788855670ba03cf44cc1eaafe520aebc", "category": "single_string", "subset": "cd97317d8ff518ba", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "2383cc363657bfd0d893c0457a62b372b11b2dc45de921029f46ad33c866b023", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the identification code on the utility pole tag. Return only the code, joining vertically stacked characters without spaces and preserving leading zeros and hyphens. Exclude labels such as POLE NO., timestamps and GPS/address overlays. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 5.7097}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 562, "image": "image_06f7e68145e4f357356462e0_jpg.rf.ef65f93dd2655e2d2664493fa387d042.jpg", "expected": "{\"brand\":\"Electrolux\",\"model_number\":\"EKC7151\",\"product_number\":\"9485719-06\",\"serial_number\":\"40501409\",\"voltage\":\"400 V\",\"frequency\":\"50 Hz\",\"refrigerant\":null,\"country_of_manufacture\":\"Sweden\"}", "predicted": "{\n \"brand\": \"Electrolux\",\n \"model_number\": \"EKC7151\",\n \"product_number\": \"9485719-06\",\n \"serial_number\": \"40501409\",\n \"voltage\": \"400 V\",\n \"frequency\": \"50 Hz\",\n \"refrigerant\": null,\n \"country_of_manufacture\": \"Sweden\"\n}", "correct": true, "input_tokens": 1416, "output_tokens": 964, "elapsed_seconds": 10.036458750022575, "metadata": {"question": "{\"question\": \"Extract the information printed on this appliance identification label. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"brand\\\": null,\\n \\\"model_number\\\": null,\\n \\\"product_number\\\": null,\\n \\\"serial_number\\\": null,\\n \\\"voltage\\\": null,\\n \\\"frequency\\\": null,\\n \\\"refrigerant\\\": null,\\n \\\"country_of_manufacture\\\": null\\n}\\n\\nUse Model/MOD., Product/PROD.NO. and Serial/SER.NO. for their respective identifiers. Remove spaces within identifiers but retain hyphens and leading zeros. Use Type only if explicitly labeled as the model. Retain units for voltage and frequency; exclude refrigerant charge from refrigerant (e.g., \u201cR600a 40g\u201d \u2192 \u201cR600a\u201d). Use only an explicit Made in statement for country_of_manufacture.\\n\\nFormat voltage and frequency as the printed number or range followed by one space and V or Hz; use - for ranges and omit AC/~ symbols. Remove spaces from refrigerant codes (e.g., \u2018R 600a 34 g\u2019 \u2192 \u2018R600a\u2019). Preserve country capitalization.\\n\\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "c297ac0e259de65b105f52c1826f15e0eff2835fab75b026bab24bbf7cd33ba2", "category": "structured", "subset": "4890639a29ac37cd", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "fe9642bc3dfaffd6440bb4b6b68686c598fe44af4f17b291d98622aad3a15a99", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on this appliance identification label. Return only a valid JSON object with these fields:\n\n{\n \"brand\": null,\n \"model_number\": null,\n \"product_number\": null,\n \"serial_number\": null,\n \"voltage\": null,\n \"frequency\": null,\n \"refrigerant\": null,\n \"country_of_manufacture\": null\n}\n\nUse Model/MOD., Product/PROD.NO. and Serial/SER.NO. for their respective identifiers. Remove spaces within identifiers but retain hyphens and leading zeros. Use Type only if explicitly labeled as the model. Retain units for voltage and frequency; exclude refrigerant charge from refrigerant (e.g., \u201cR600a 40g\u201d \u2192 \u201cR600a\u201d). Use only an explicit Made in statement for country_of_manufacture.\n\nFormat voltage and frequency as the printed number or range followed by one space and V or Hz; use - for ranges and omit AC/~ symbols. Remove spaces from refrigerant codes (e.g., \u2018R 600a 34 g\u2019 \u2192 \u2018R600a\u2019). Preserve country capitalization.\n\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 8, "reference_fields": 8, "predicted_fields": 8, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 10.044}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 563, "image": "image_140df6e480a011b6a5388342_png_jpg.rf.882525fecbb73489036e78c4fa12c98c.jpg", "expected": "{\"columns\":[null,null,\"UDIT RAJ\",\"YOGENDER CHANDOLIYA\",\"VIJAY BAUDDH\",\"K M KAJAL\",\"ADV. KRUPAL\",\"KHILKHILAKAR\",\"NAND RAM BAGRI\",\"NARESH KUMAR\",\"POOJA (BHAGTANI)\",\"PRAVEEN GAUTAM\",\"PREETI\",\"ADVOCATE DR. MAHENDER SINGH CHURIYANA\",\"RAJENDER SOOD\",\"SHYAM BHARTEEY\",\"ADVOCATE SATISH CHANDRA\",\"SUBHASH\",\"SURESH KUMAR\",\"SANJAY KUMAR SIWAL\",\"ADITI\",\"CHANDER PAL SONI\",\"NARESH KUMAR\",\"PARMENDRA MANJHI\",\"PUSHPA NAGRA\",\"PRADEEP KUMAR\",\"SATYA PRAKASH UTTRAKHANDI\",\"HARI KISHAN (MECHANIC)\",\"Total of Valid Votes\",\"No. Of Rejected Votes\",\"Votes for NOTA\",\"Total\",\"No. Of Tendered Votes\"],\"rows\":[[\"181\",\"180\",\"270\",\"410\",\"9\",\"1\",\"0\",\"0\",\"1\",\"1\",\"0\",\"0\",\"0\",\"2\",\"1\",\"0\",\"0\",\"1\",\"0\",\"2\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"700\",\"0\",\"5\",\"705\",\"0\"],[\"182\",\"181\",\"187\",\"302\",\"6\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"2\",\"0\",\"0\",\"1\",\"0\",\"3\",\"2\",\"2\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"505\",\"0\",\"5\",\"510\",\"0\"],[\"183\",\"182\",\"200\",\"377\",\"4\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"1\",\"1\",\"1\",\"3\",\"2\",\"0\",\"0\",\"0\",\"2\",\"0\",\"0\",\"0\",\"1\",\"0\",\"595\",\"0\",\"2\",\"597\",\"0\"],[\"184\",\"183\",\"188\",\"322\",\"9\",\"2\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"1\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"525\",\"0\",\"3\",\"528\",\"0\"],[\"185\",\"184\",\"180\",\"324\",\"3\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"2\",\"0\",\"2\",\"0\",\"0\",\"1\",\"0\",\"1\",\"2\",\"2\",\"0\",\"1\",\"0\",\"1\",\"521\",\"0\",\"1\",\"522\",\"0\"],[\"186\",\"185\",\"317\",\"447\",\"10\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"2\",\"0\",\"2\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"1\",\"0\",\"0\",\"1\",\"0\",\"2\",\"0\",\"785\",\"0\",\"2\",\"787\",\"0\"],[\"187\",\"186\",\"492\",\"323\",\"6\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"1\",\"0\",\"0\",\"3\",\"1\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"1\",\"1\",\"831\",\"0\",\"6\",\"837\",\"0\"],[\"188\",\"187\",\"471\",\"294\",\"3\",\"0\",\"1\",\"0\",\"0\",\"1\",\"0\",\"2\",\"0\",\"1\",\"0\",\"1\",\"1\",\"2\",\"3\",\"3\",\"0\",\"0\",\"1\",\"2\",\"0\",\"0\",\"1\",\"0\",\"787\",\"0\",\"2\",\"789\",\"0\"]]}", "predicted": "{\"columns\":[\"Serial No. Of Polling Station\",null,\"UDIT RAJ\",\"YOGENDER CHANDOLIYA\",\"VIJAY BAUDDH\",\"K M KAJAL\",\"ADV. KRUPAL\",\"KHILKHILAKAR\",\"NAND RAM BAGRI\",\"NARESH KUMAR\",\"POOJA (BHAGTANI)\",\"PRAVEEN GAUTAM\",\"PREETI\",\"ADVOCATE DR. MAHENDER SINGH CHURIYANA\",\"RAJENDER SOOD\",\"SHYAM BHARTEEY\",\"ADVOCATE SATISH CHANDRA\",\"SUBHASH\",\"SURESH KUMAR\",\"SANJAY KUMAR SIWAL\",\"ADITI\",\"CHANDER PAL SONI\",\"NARESH KUMAR\",\"PARMENDRA MANJHI\",\"PUSHPA NAGRA\",\"PRADEEP KUMAR\",\"SATYA PRAKASH UTTRAKHANDI\",\"HARI KISHAN (MECHANIC)\",\"Total of Valid Votes\",\"No. Of Rejected Votes\",\"Votes for NOTA\",\"Total\",\"No. Of Tendered Votes\"],\"rows\":[[\"181\",\"180\",\"270\",\"410\",\"9\",\"1\",\"0\",\"0\",\"1\",\"1\",\"0\",\"0\",\"0\",\"2\",\"1\",\"0\",\"0\",\"1\",\"0\",\"2\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"700\",\"0\",\"5\",\"705\",\"0\"],[\"182\",\"181\",\"187\",\"302\",\"6\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"2\",\"0\",\"0\",\"1\",\"0\",\"3\",\"2\",\"2\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"505\",\"0\",\"5\",\"510\",\"0\"],[\"183\",\"182\",\"200\",\"377\",\"4\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"1\",\"1\",\"1\",\"3\",\"2\",\"0\",\"0\",\"0\",\"2\",\"0\",\"0\",\"0\",\"1\",\"0\",\"595\",\"0\",\"2\",\"597\",\"0\"],[\"184\",\"183\",\"188\",\"322\",\"9\",\"2\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"1\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"525\",\"0\",\"3\",\"528\",\"0\"],[\"185\",\"184\",\"180\",\"324\",\"3\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"2\",\"0\",\"2\",\"0\",\"0\",\"1\",\"0\",\"1\",\"2\",\"2\",\"0\",\"1\",\"0\",\"1\",\"521\",\"0\",\"1\",\"522\",\"0\"],[\"186\",\"185\",\"317\",\"447\",\"10\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"2\",\"0\",\"2\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"1\",\"0\",\"0\",\"1\",\"0\",\"2\",\"0\",\"785\",\"0\",\"2\",\"787\",\"0\"],[\"187\",\"186\",\"492\",\"323\",\"6\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"1\",\"0\",\"0\",\"3\",\"1\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"1\",\"1\",\"831\",\"0\",\"6\",\"837\",\"0\"],[\"188\",\"187\",\"471\",\"294\",\"3\",\"0\",\"1\",\"0\",\"0\",\"1\",\"0\",\"2\",\"0\",\"1\",\"0\",\"1\",\"1\",\"2\",\"3\",\"3\",\"0\",\"0\",\"1\",\"2\",\"0\",\"0\",\"1\",\"0\",\"787\",\"0\",\"2\",\"789\",\"0\"]]}", "correct": false, "input_tokens": 1281, "output_tokens": 6890, "elapsed_seconds": 48.9797222079942, "metadata": {"question": "{\"question\": \"Extract the election-results table from this image. Return only a valid JSON object with this structure:\\n\\n{\\n \\\"columns\\\": [],\\n \\\"rows\\\": []\\n}\\n\\nReturn every leaf column left-to-right, including row identifiers, candidate names and summary columns. Join multi-line column headings with spaces; omit shared spanning headings. Use null for a leaf column without its own heading; do not invent or duplicate a spanning heading. Return rows as arrays of cells aligned with columns, top-to-bottom, including any printed total rows. Preserve zeros, identifiers and printed symbols; use null for blank or unreadable cells, never 0. Do not calculate totals or fill values from neighboring cells. Each row must contain exactly one cell per column.\\n\\nPreserve text as printed or handwritten, joining line breaks within a field with spaces. Do not infer missing information or translate. Include every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "c3ab275813d482d1000ec12f7f187d2fdaea5f45166b54420c3ecafc83ff8f0b", "category": "structured", "subset": "632de14cb0143303", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "144476bc36d203ab258a7ee46f98a6a0d3ce4014acb5080386e1cb49d79e2b6a", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the election-results table from this image. Return only a valid JSON object with this structure:\n\n{\n \"columns\": [],\n \"rows\": []\n}\n\nReturn every leaf column left-to-right, including row identifiers, candidate names and summary columns. Join multi-line column headings with spaces; omit shared spanning headings. Use null for a leaf column without its own heading; do not invent or duplicate a spanning heading. Return rows as arrays of cells aligned with columns, top-to-bottom, including any printed total rows. Preserve zeros, identifiers and printed symbols; use null for blank or unreadable cells, never 0. Do not calculate totals or fill values from neighboring cells. Each row must contain exactly one cell per column.\n\nPreserve text as printed or handwritten, joining line breaks within a field with spaces. Do not infer missing information or translate. Include every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 0.9966, "status": "ok", "format_compliant": true, "matched_fields": 296, "reference_fields": 297, "predicted_fields": 297, "non_null_field_accuracy": 1.0, "object_exact_match": false, "attempts": 4, "retries": 3, "total_seconds": 249.4737, "transient_errors": ["RemoteProtocolError", "RemoteProtocolError", "RemoteProtocolError"]}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 564, "image": "image_b7396824c12958f66e8b563a_jpg.rf.9cb03b825c6535ea034b99735a1ae785.jpg", "expected": "{\"grading\":{\"year\":\"2016\",\"set_name\":\"POKEMON EVOLUTIONS\",\"grade\":\"10\",\"certification_number\":\"0767613\"},\"card\":{\"name\":\"Mewtwo\",\"hp\":\"180\",\"evolves_from\":null,\"card_number\":\"103/108\",\"illustrator\":\"Ryo Ueda\"}}", "predicted": "{\n \"grading\": {\n \"year\": \"2016\",\n \"set_name\": \"POKEMON EVOLUTIONS\",\n \"grade\": \"10\",\n \"certification_number\": \"0767613\"\n },\n \"card\": {\n \"name\": \"Mewtwo\",\n \"hp\": \"180\",\n \"evolves_from\": null,\n \"card_number\": \"103/108\",\n \"illustrator\": \"Ryo Ueda\"\n }\n}", "correct": true, "input_tokens": 1375, "output_tokens": 802, "elapsed_seconds": 9.146075166994706, "metadata": {"question": "{\"question\": \"Extract the information printed on this SGC-graded trading card and its holder. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"grading\\\": {\\n \\\"year\\\": null,\\n \\\"set_name\\\": null,\\n \\\"grade\\\": null,\\n \\\"certification_number\\\": null\\n },\\n \\\"card\\\": {\\n \\\"name\\\": null,\\n \\\"hp\\\": null,\\n \\\"evolves_from\\\": null,\\n \\\"card_number\\\": null,\\n \\\"illustrator\\\": null\\n }\\n}\\n\\nRead grading fields from the holder and card fields from the card. Return the numeric grade only (e.g., \u201c8.5 NM/MT+\u201d \u2192 \u201c8.5\u201d). Exclude gameplay suffixes and level indicators from Pok\u00e9mon names (e.g., \u201cLatias ex\u201d \u2192 \u201cLatias\u201d). Return HP as digits only (e.g., \u201c120 HP\u201d \u2192 \u201c120\u201d).\\n\\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "06162ad49993c1ad4650c5ab954e4dade0042e43553649049ce1ddd2971e6640", "category": "structured", "subset": "6c56b14aa8dbe996", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "3d7c8e34f4a711b81a35b3a998d8e03627977fef326947f377959e4ff3643a2d", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on this SGC-graded trading card and its holder. Return only a valid JSON object with these fields:\n\n{\n \"grading\": {\n \"year\": null,\n \"set_name\": null,\n \"grade\": null,\n \"certification_number\": null\n },\n \"card\": {\n \"name\": null,\n \"hp\": null,\n \"evolves_from\": null,\n \"card_number\": null,\n \"illustrator\": null\n }\n}\n\nRead grading fields from the holder and card fields from the card. Return the numeric grade only (e.g., \u201c8.5 NM/MT+\u201d \u2192 \u201c8.5\u201d). Exclude gameplay suffixes and level indicators from Pok\u00e9mon names (e.g., \u201cLatias ex\u201d \u2192 \u201cLatias\u201d). Return HP as digits only (e.g., \u201c120 HP\u201d \u2192 \u201c120\u201d).\n\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 9, "reference_fields": 9, "predicted_fields": 9, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 9.2203}} -{"model": "gemini-4-argon-eap", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 565, "image": "image_a271ebaa09a46cfc746d6957_jpg.rf.727ebb32f3b3396be66b7fde452e9416.jpg", "expected": "P 03102020\"},{\"bbox\":[123,66,194,74],\"text\":\"Better think twice,\"},{\"bbox\":[123,77,250,85],\"text\":\"Before this mistake spreads out,\"},{\"bbox\":[123,88,225,96],\"text\":\"Better learn from the past,\"},{\"bbox\":[123,99,266,107],\"text\":\"Before my mind gets clouded again,\"},{\"bbox\":[123,110,162,118],\"text\":\"Better get\"},{\"bbox\":[279,299,521,370],\"text\":\"AWAY\"},{\"bbox\":[494,557,514,565],\"text\":\"soon,\"},{\"bbox\":[380,568,515,576],\"text\":\"Before you can get into my head,\"},{\"bbox\":[445,578,516,587],\"text\":\"For the last time.\"}]", "predicted": "[{\"box_2d\": [70, 732, 82, 807], \"text\": \"> 03102020\"}, {\"box_2d\": [103, 192, 117, 304], \"text\": \"Better think twice,\"}, {\"box_2d\": [118, 192, 134, 395], \"text\": \"Before this mistake spreads out,\"}, {\"box_2d\": [135, 192, 151, 354], \"text\": \"Better learn from the past,\"}, {\"box_2d\": [153, 192, 168, 418], \"text\": \"Before my mind gets clouded again,\"}, {\"box_2d\": [170, 192, 185, 253], \"text\": \"Better get\"}, {\"box_2d\": [468, 434, 578, 815], \"text\": \"AWAY\"}, {\"box_2d\": [870, 767, 882, 803], \"text\": \"soon,\"}, {\"box_2d\": [885, 595, 900, 803], \"text\": \"Before you can get into my head,\"}, {\"box_2d\": [901, 698, 915, 803], \"text\": \"For the last time.\"}]", "correct": true, "input_tokens": 1327, "output_tokens": 362, "elapsed_seconds": 5.36372141703032, "metadata": {"question": "{\"question\": \"Locate and transcribe visible text on the poster.\", \"specification\": \"Use one box per text line; keep separate words or letter groups on strongly curved paths in separate boxes. Include rotated text. Exclude decorative shapes, photographs and non-text graphics. Return plain text, not LaTeX.\\n\\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\", \"task\": \"localization_recognition\"}", "sample_id": "9f9bce5f7cd452eaf489fc5714087059ac9412c2d8b85a8d0cc2a1d0ac3cf429", "category": "localization_recognition", "subset": "a0ebbce28fa5095a", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "edf9e83bd0fc869660e47b9b78ba13e03e5172d3064dbe7145f072c53b5bf262", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe visible text on the poster.\n\nUse one box per text line; keep separate words or letter groups on strongly curved paths in separate boxes. Include rotated text. Exclude decorative shapes, photographs and non-text graphics. Return plain text, not LaTeX.\n\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 1.0, "status": "ok", "format_compliant": true, "detection_f1": 1.0, "matched_regions": 10, "reference_regions": 10, "predicted_regions": 10, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 5.3714}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 451, "image": "image_c1e22a86b1a4e7e27937d86d_jpg.rf.a942076043a764ebf7c99252106e01ff.jpg", "expected": "[{\"bbox\":[459,161,529,199],\"text\":\"All I'm asking for is a quick audience.\"},{\"bbox\":[202,222,255,248],\"text\":\"Guess not.\"},{\"bbox\":[334,230,406,263],\"text\":\"Look, all I'm saying is --\"},{\"bbox\":[46,560,97,586],\"text\":\"All right?\"},{\"bbox\":[359,482,433,516],\"text\":\"I knew no one was listening.\"}]", "predicted": "[{\"box_2d\": [254, 718, 305, 822], \"text\": \"All I'm asking for is a quick audience.\"}, {\"box_2d\": [351, 319, 382, 395], \"text\": \"Guess not.\"}, {\"box_2d\": [364, 523, 404, 629], \"text\": \"Look, all I'm saying is --\"}, {\"box_2d\": [880, 74, 912, 147], \"text\": \"All right?\"}, {\"box_2d\": [757, 565, 800, 675], \"text\": \"I knew no one was listening.\"}]", "correct": true, "input_tokens": 1321, "output_tokens": 189, "elapsed_seconds": 4.002953374991193, "metadata": {"question": "{\"question\": \"Locate and transcribe all speech and thought bubbles in this comic image.\", \"specification\": \"Use one tight, axis-aligned bounding box around each bubble\u2019s body, excluding its tail. Keep separate bubbles in separate boxes.\\n\\n\\n\\nPreserve the text as printed, including capitalization and punctuation. Join line breaks within each bubble with spaces. Exclude captions, sound effects, and text outside bubbles. Do not infer missing characters or translate. Use null for a visible bubble whose text cannot be read. Do not include explanations or Markdown.\\n\\nReturn entries in the intended reading order. If no bubbles are visible, return [].\", \"task\": \"localization_recognition\"}", "sample_id": "a7afa80034f593c4ef0d837c6735b215b4641d6da7e840d795dc6c4ca11d9a32", "category": "localization_recognition", "subset": "6174981f0649e07d", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "19954f8fd7efb921033c041f517efc07c039d4d1239cdb8605ca3a25f3653dee", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe all speech and thought bubbles in this comic image.\n\nUse one tight, axis-aligned bounding box around each bubble\u2019s body, excluding its tail. Keep separate bubbles in separate boxes.\n\n\n\nPreserve the text as printed, including capitalization and punctuation. Join line breaks within each bubble with spaces. Exclude captions, sound effects, and text outside bubbles. Do not infer missing characters or translate. Use null for a visible bubble whose text cannot be read. Do not include explanations or Markdown.\n\nReturn entries in the intended reading order. If no bubbles are visible, return [].\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 1.0, "status": "ok", "format_compliant": true, "detection_f1": 1.0, "matched_regions": 5, "reference_regions": 5, "predicted_regions": 5, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 4.0327}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 452, "image": "image_c1e22a86b1a4e7e27937d86d_jpg.rf.a942076043a764ebf7c99252106e01ff.jpg", "expected": "All I'm asking for is a quick audience.\nGuess not.\nLook, all I'm saying is --\nAll right?\nI knew no one was listening.", "predicted": "All I'm asking for is a quick audience.\nGuess not.\nLook, all I'm saying is --\nAll right?\nI knew no one was listening.", "correct": true, "input_tokens": 1191, "output_tokens": 41, "elapsed_seconds": 2.5894355829805136, "metadata": {"question": "{\"question\": \"Read the text inside the speech and thought bubbles in this comic image, following the intended reading order. Return each bubble\u2019s text on a separate line.\\n\\nPreserve the text as printed, including capitalization and punctuation. Join line breaks within each bubble with spaces. Exclude captions, sound effects, and text outside bubbles. Do not translate or explain.\", \"task\": \"transcription\"}", "sample_id": "738d215f56e0e9f6ebe061b258310dfb9047af7230b577a1adfe6d7195ef7d56", "category": "transcription", "subset": "a0b750b70bf54a22", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "19954f8fd7efb921033c041f517efc07c039d4d1239cdb8605ca3a25f3653dee", "text_protocol": "mixed-text-v2", "scoring_profile": "transcription", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the text inside the speech and thought bubbles in this comic image, following the intended reading order. Return each bubble\u2019s text on a separate line.\n\nPreserve the text as printed, including capitalization and punctuation. Join line breaks within each bubble with spaces. Exclude captions, sound effects, and text outside bubbles. Do not translate or explain.", "match_method": "transcription", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 2.6184}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 453, "image": "image_06c2d534570406820b59e398_jpg.rf.e2fc54227891cc153657f6b764cb533a.jpg", "expected": "250218", "predicted": "250218", "correct": true, "input_tokens": 1148, "output_tokens": 10, "elapsed_seconds": 2.4650008329190314, "metadata": {"question": "{\"question\": \"Read the six-digit code engraved on the metal surface. Return only the code as a string of digits, preserving leading zeros. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "497c2adf3597acdd7a8caa14c03c4b77b1e49dad12da7d4b8d69740e600f1c1d", "category": "single_string", "subset": "f2a87f15a0d3eb96", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "a4968765361328a206185953c32ab20c35e3914832bfa58d704bd027a67f2328", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the six-digit code engraved on the metal surface. Return only the code as a string of digits, preserving leading zeros. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 2.476}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 454, "image": "image_e806f52f2a24c47abdba596e_jpg.rf.41d66ddcf73bb2d1cbc620dbb9b629c4.jpg", "expected": "94.4", "predicted": "94.4", "correct": true, "input_tokens": 1131, "output_tokens": 8, "elapsed_seconds": 7.631580917048268, "metadata": {"question": "{\"question\": \"Read the main temperature value shown on the thermometer display. Return only the numeric reading, preserving the decimal point and trailing zeros. Exclude units and icons. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "b7c600d25df9d991091df08a191ffe2fa43227419d6cda8afa78138e12e240de", "category": "single_string", "subset": "86f51b3c3dae6d11", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "f919e3ec9e700f91cb0aff91022aa6967b1609af79f60d34612642605f2b2616", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the main temperature value shown on the thermometer display. Return only the numeric reading, preserving the decimal point and trailing zeros. Exclude units and icons. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 8.1668}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 455, "image": "image_464d6d93ca1b66c942fef9f6_jpg.rf.3dc5fd384fc4f7dcd267656dc7f858ad.jpg", "expected": "0.536", "predicted": "0.536", "correct": true, "input_tokens": 1167, "output_tokens": 9, "elapsed_seconds": 3.43503925006371, "metadata": {"question": "{\"question\": \"Read the weight shown on the digital scale in this image. Return only the numeric reading, preserving the decimal separator and any minus sign. Do not include units or explain.\", \"task\": \"single_string\"}", "sample_id": "727cdcc5a56d762a68829829b4431620da37be47e3e5361aab2a54941432a54e", "category": "single_string", "subset": "2230d8632391d9a6", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "0aa33d8daa3ffa6ef4f014b022b93aa5752f1eb4cf5fdb21108a5738f85d44fe", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the weight shown on the digital scale in this image. Return only the numeric reading, preserving the decimal separator and any minus sign. Do not include units or explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 3.5245}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 456, "image": "image_002cab1e857745fde7424bad_jpg.rf.f342575fb0f56aa4a54e6e643374798c.jpg", "expected": "{\"route_number\":\"36 (2-40)\",\"bus_number\":\"4-44094\",\"destination_sign\":\"\u0e2b\u0e21\u0e14\u0e23\u0e30\u0e22\u0e30 \u0e2b\u0e49\u0e27\u0e22\u0e02\u0e27\u0e32\u0e07\",\"license_plate\":\"12-5246\"}", "predicted": "{\n \"route_number\": \"36 (2-40)\",\n \"bus_number\": \"4-44094\",\n \"destination_sign\": \"\u0e2b\u0e21\u0e14\u0e23\u0e30\u0e22\u0e30 \u0e2b\u0e49\u0e27\u0e22\u0e02\u0e27\u0e32\u0e07\",\n \"license_plate\": \"THAILAND 01 12-5246 \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23\"\n}", "correct": false, "input_tokens": 1209, "output_tokens": 81, "elapsed_seconds": 8.765389500069432, "metadata": {"question": "{\"question\": \"Extract the information printed on the main bus in this image. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"route_number\\\": null,\\n \\\"bus_number\\\": null,\\n \\\"destination_sign\\\": null,\\n \\\"license_plate\\\": null\\n}\\n\\nPreserve the text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "d10d34e96c8db48ed1a690d1f8176c22993da3029c4e33e27a60561cddd99f83", "category": "structured", "subset": "477b707cebbcd6df", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "3674743325dd3bfe4a9a537c3e59ddcba42809c0a4fad74ae397c1c1e11e6888", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on the main bus in this image. Return only a valid JSON object with these fields:\n\n{\n \"route_number\": null,\n \"bus_number\": null,\n \"destination_sign\": null,\n \"license_plate\": null\n}\n\nPreserve the text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 0.75, "status": "ok", "format_compliant": true, "matched_fields": 3, "reference_fields": 4, "predicted_fields": 4, "non_null_field_accuracy": 0.75, "object_exact_match": false, "attempts": 1, "retries": 0, "total_seconds": 9.2738}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 457, "image": "image_b9f7b953df00ce059f0e5928_jpg.rf.3a35d091c9cf16a7366cf37ff144c4c6.jpg", "expected": "[{\"bbox\":[2131,360,2218,452],\"text\":\"Q\"},{\"bbox\":[1994,501,2070,590],\"text\":\"H\"},{\"bbox\":[2172,504,2191,591],\"text\":\"I\"},{\"bbox\":[2292,535,2365,630],\"text\":\"S\"},{\"bbox\":[2283,685,2355,772],\"text\":\"T\"},{\"bbox\":[2287,826,2373,916],\"text\":\"O\"},{\"bbox\":[2141,956,2226,1046],\"text\":\"R\"},{\"bbox\":[1993,965,2079,1055],\"text\":\"O\"},{\"bbox\":[1831,968,1945,1059],\"text\":\"W\"},{\"bbox\":[2297,969,2375,1059],\"text\":\"N\"},{\"bbox\":[2311,1112,2380,1202],\"text\":\"E\"},{\"bbox\":[1853,1117,1940,1207],\"text\":\"A\"},{\"bbox\":[1564,1252,1635,1343],\"text\":\"B\"},{\"bbox\":[1704,1252,1790,1344],\"text\":\"A\"},{\"bbox\":[2013,1261,2092,1352],\"text\":\"D\"},{\"bbox\":[1871,1265,1931,1356],\"text\":\"L\"},{\"bbox\":[1569,1401,1642,1492],\"text\":\"U\"},{\"bbox\":[1860,1413,1934,1504],\"text\":\"T\"},{\"bbox\":[1276,1526,1329,1617],\"text\":\"J\"},{\"bbox\":[1411,1532,1497,1624],\"text\":\"O\"},{\"bbox\":[1565,1549,1648,1641],\"text\":\"Y\"},{\"bbox\":[1865,1560,1940,1652],\"text\":\"Z\"},{\"bbox\":[1260,1674,1346,1767],\"text\":\"A\"},{\"bbox\":[1571,1811,1643,1902],\"text\":\"T\"},{\"bbox\":[1422,1814,1495,1907],\"text\":\"U\"},{\"bbox\":[1264,1822,1351,1916],\"text\":\"G\"},{\"bbox\":[1270,1971,1343,2065],\"text\":\"U\"},{\"bbox\":[1262,2121,1349,2217],\"text\":\"A\"},{\"bbox\":[1724,2252,1790,2347],\"text\":\"F\"},{\"bbox\":[1571,2260,1642,2354],\"text\":\"E\"},{\"bbox\":[1446,2268,1468,2363],\"text\":\"I\"},{\"bbox\":[1261,2276,1346,2370],\"text\":\"R\"},{\"bbox\":[1107,2278,1195,2375],\"text\":\"G\"},{\"bbox\":[1753,2408,1776,2504],\"text\":\"I\"},{\"bbox\":[1892,2555,1967,2654],\"text\":\"E\"},{\"bbox\":[1730,2560,1817,2658],\"text\":\"V\"},{\"bbox\":[1580,2571,1669,2669],\"text\":\"O\"},{\"bbox\":[1428,2578,1509,2675],\"text\":\"D\"},{\"bbox\":[1749,2718,1825,2818],\"text\":\"E\"},{\"bbox\":[1442,2733,1517,2834],\"text\":\"E\"},{\"bbox\":[1449,2892,1525,2994],\"text\":\"E\"},{\"bbox\":[1468,3058,1549,3157],\"text\":\"D\"},{\"bbox\":[1313,3065,1396,3169],\"text\":\"N\"},{\"bbox\":[1154,3070,1245,3172],\"text\":\"A\"},{\"bbox\":[1003,3080,1081,3178],\"text\":\"H\"},{\"bbox\":[698,3095,779,3194],\"text\":\"K\"},{\"bbox\":[1010,3240,1086,3339],\"text\":\"U\"},{\"bbox\":[705,3257,778,3357],\"text\":\"E\"},{\"bbox\":[854,3404,945,3506],\"text\":\"O\"},{\"bbox\":[1019,3404,1096,3503],\"text\":\"T\"},{\"bbox\":[708,3422,772,3522],\"text\":\"L\"},{\"bbox\":[708,3584,784,3684],\"text\":\"P\"},{\"bbox\":[577,3589,600,3691],\"text\":\"I\"},{\"bbox\":[387,3606,471,3707],\"text\":\"I\"}]", "predicted": "[{\"box_2d\": [90, 704, 113, 734], \"text\": \"Q\"}, {\"box_2d\": [123, 661, 146, 686], \"text\": \"H\"}, {\"box_2d\": [125, 718, 147, 723], \"text\": \"I\"}, {\"box_2d\": [133, 757, 155, 783], \"text\": \"S\"}, {\"box_2d\": [169, 758, 191, 781], \"text\": \"T\"}, {\"box_2d\": [205, 756, 227, 785], \"text\": \"O\"}, {\"box_2d\": [237, 709, 259, 734], \"text\": \"R\"}, {\"box_2d\": [240, 657, 261, 687], \"text\": \"O\"}, {\"box_2d\": [240, 761, 262, 785], \"text\": \"N\"}, {\"box_2d\": [241, 606, 262, 643], \"text\": \"W\"}, {\"box_2d\": [276, 765, 298, 787], \"text\": \"E\"}, {\"box_2d\": [277, 613, 299, 642], \"text\": \"A\"}, {\"box_2d\": [310, 518, 332, 542], \"text\": \"B\"}, {\"box_2d\": [312, 563, 333, 591], \"text\": \"A\"}, {\"box_2d\": [313, 666, 335, 691], \"text\": \"D\"}, {\"box_2d\": [314, 619, 336, 639], \"text\": \"L\"}, {\"box_2d\": [347, 520, 369, 543], \"text\": \"U\"}, {\"box_2d\": [350, 615, 372, 639], \"text\": \"T\"}, {\"box_2d\": [378, 421, 400, 440], \"text\": \"J\"}, {\"box_2d\": [380, 466, 402, 495], \"text\": \"O\"}, {\"box_2d\": [383, 518, 406, 543], \"text\": \"Y\"}, {\"box_2d\": [387, 616, 409, 640], \"text\": \"Z\"}, {\"box_2d\": [415, 417, 437, 445], \"text\": \"A\"}, {\"box_2d\": [449, 468, 472, 494], \"text\": \"U\"}, {\"box_2d\": [449, 520, 471, 544], \"text\": \"T\"}, {\"box_2d\": [452, 418, 474, 447], \"text\": \"G\"}, {\"box_2d\": [489, 419, 512, 444], \"text\": \"U\"}, {\"box_2d\": [526, 417, 549, 447], \"text\": \"A\"}, {\"box_2d\": [558, 571, 581, 591], \"text\": \"F\"}, {\"box_2d\": [560, 520, 583, 543], \"text\": \"E\"}, {\"box_2d\": [562, 480, 584, 485], \"text\": \"I\"}, {\"box_2d\": [563, 418, 586, 444], \"text\": \"R\"}, {\"box_2d\": [564, 367, 588, 396], \"text\": \"G\"}, {\"box_2d\": [597, 581, 619, 586], \"text\": \"I\"}, {\"box_2d\": [633, 626, 657, 649], \"text\": \"E\"}, {\"box_2d\": [636, 522, 661, 552], \"text\": \"O\"}, {\"box_2d\": [636, 573, 659, 600], \"text\": \"V\"}, {\"box_2d\": [639, 473, 663, 499], \"text\": \"D\"}, {\"box_2d\": [674, 579, 699, 603], \"text\": \"E\"}, {\"box_2d\": [678, 478, 702, 502], \"text\": \"E\"}, {\"box_2d\": [718, 480, 742, 505], \"text\": \"E\"}, {\"box_2d\": [757, 487, 781, 512], \"text\": \"D\"}, {\"box_2d\": [760, 434, 784, 460], \"text\": \"N\"}, {\"box_2d\": [762, 332, 786, 357], \"text\": \"H\"}, {\"box_2d\": [762, 381, 786, 411], \"text\": \"A\"}, {\"box_2d\": [767, 233, 790, 258], \"text\": \"K\"}, {\"box_2d\": [802, 334, 827, 360], \"text\": \"U\"}, {\"box_2d\": [806, 234, 831, 258], \"text\": \"E\"}, {\"box_2d\": [843, 336, 868, 362], \"text\": \"T\"}, {\"box_2d\": [845, 282, 870, 313], \"text\": \"O\"}, {\"box_2d\": [846, 235, 871, 257], \"text\": \"L\"}, {\"box_2d\": [888, 235, 912, 259], \"text\": \"P\"}, {\"box_2d\": [891, 194, 916, 198], \"text\": \"I\"}, {\"box_2d\": [893, 129, 919, 157], \"text\": \"D\"}]", "correct": false, "input_tokens": 1301, "output_tokens": 1731, "elapsed_seconds": 21.98693287500646, "metadata": {"question": "{\"question\": \"Locate and transcribe the large letter on every visible letter tile.\", \"specification\": \"Use one tight box around each letter, not the tile boundary; keep adjacent tiles separate. Include rotated letters; exclude point values, blank tiles and background text. Return plain text, not LaTeX.\\n\\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\", \"task\": \"localization_recognition\"}", "sample_id": "3d274e441c7b2b2e611129fe1cd95355b1acf3bae32feb497b64f3041ba07287", "category": "localization_recognition", "subset": "c7e0eb346c8e2ba1", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "efc4f04d1cc35f0af6d499f4a953b41b0781389e36e07ddf0b5df3cf1e402d9b", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe the large letter on every visible letter tile.\n\nUse one tight box around each letter, not the tile boundary; keep adjacent tiles separate. Include rotated letters; exclude point values, blank tiles and background text. Return plain text, not LaTeX.\n\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 0.9815, "status": "ok", "format_compliant": true, "detection_f1": 1.0, "matched_regions": 53, "reference_regions": 54, "predicted_regions": 54, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 22.5283}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 458, "image": "image_b9f7b953df00ce059f0e5928_jpg.rf.3a35d091c9cf16a7366cf37ff144c4c6.jpg", "expected": "BALD\nBUY\nDEED\nDIP\nDOVE\nFIVE\nGRIEF\nGUT\nHAND\nHIS\nHUT\nJAGUAR\nJOY\nKELP\nLOT\nQI\nSTONE\nWALTZ\nWORN", "predicted": "BALD\nBUY\nDEED\nDIP\nDOVE\nFIVE\nGRIEF\nGUT\nHAND\nHIS\nHUT\nJAGUAR\nJOY\nKELP\nLOT\nQI\nSTONE\nWALTZ\nWORN", "correct": true, "input_tokens": 1172, "output_tokens": 53, "elapsed_seconds": 9.4120680000633, "metadata": {"question": "{\"question\": \"Read all words formed by the letter tiles, including rotated words. Include only words valid in the Merriam-Webster Official Scrabble Players Dictionary. Return them in uppercase, one word per line, in alphabetical order. Preserve spelling and repeated words; do not correct or rearrange letters to make valid words. Ignore isolated letters and background text. Return only the words, without explanations or Markdown.\", \"task\": \"transcription\"}", "sample_id": "d9b2829c238283551444cb91e38be4d7e92ec1c2e93502cda9bdddb9f6051bee", "category": "transcription", "subset": "1b7d212231bfff95", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "efc4f04d1cc35f0af6d499f4a953b41b0781389e36e07ddf0b5df3cf1e402d9b", "text_protocol": "mixed-text-v2", "scoring_profile": "transcription", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read all words formed by the letter tiles, including rotated words. Include only words valid in the Merriam-Webster Official Scrabble Players Dictionary. Return them in uppercase, one word per line, in alphabetical order. Preserve spelling and repeated words; do not correct or rearrange letters to make valid words. Ignore isolated letters and background text. Return only the words, without explanations or Markdown.", "match_method": "transcription", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 9.9801}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 459, "image": "image_ca7c012223fa2db528f0601e_jpg.rf.a628686a40055fef160c02033f872604.jpg", "expected": "94.0", "predicted": "94.0", "correct": true, "input_tokens": 1131, "output_tokens": 8, "elapsed_seconds": 16.022750167059712, "metadata": {"question": "{\"question\": \"Read the main temperature value shown on the thermometer display. Return only the numeric reading, preserving the decimal point and trailing zeros. Exclude units and icons. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "d6f45ad8840cc25d421d7eb02b8b85c042e43e4230f56e57689e442a40a58926", "category": "single_string", "subset": "86f51b3c3dae6d11", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "f70e6e39ea4bd92651481bc504f069f966e1d251269f40dde63bd32af7b9857c", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the main temperature value shown on the thermometer display. Return only the numeric reading, preserving the decimal point and trailing zeros. Exclude units and icons. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 16.5335}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 460, "image": "image_7741fef515874e86dc6044f7_jpg.rf.af4823ea0b348beae0a23e896a1b24f7.jpg", "expected": "{\"grading\":{\"year\":\"1999\",\"set_name\":\"FIRST MOVIE PROMO\",\"grade\":\"8.5\",\"certification_number\":\"7820186\"},\"card\":{\"name\":\"Pikachu\",\"hp\":\"50\",\"evolves_from\":null,\"card_number\":\"4\",\"illustrator\":\"Ken Sugimori\"}}", "predicted": "{\n \"grading\": {\n \"year\": \"1999\",\n \"set_name\": \"POKEMON FIRST MOVIE PROMO\",\n \"grade\": \"8.5\",\n \"certification_number\": \"7820186\"\n },\n \"card\": {\n \"name\": \"Pikachu\",\n \"hp\": \"50\",\n \"evolves_from\": null,\n \"card_number\": \"4\",\n \"illustrator\": \"Ken Sugimori\"\n }\n}", "correct": false, "input_tokens": 1347, "output_tokens": 127, "elapsed_seconds": 7.639478917000815, "metadata": {"question": "{\"question\": \"Extract the information printed on this SGC-graded trading card and its holder. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"grading\\\": {\\n \\\"year\\\": null,\\n \\\"set_name\\\": null,\\n \\\"grade\\\": null,\\n \\\"certification_number\\\": null\\n },\\n \\\"card\\\": {\\n \\\"name\\\": null,\\n \\\"hp\\\": null,\\n \\\"evolves_from\\\": null,\\n \\\"card_number\\\": null,\\n \\\"illustrator\\\": null\\n }\\n}\\n\\nRead grading fields from the holder and card fields from the card. Return the numeric grade only (e.g., \u201c8.5 NM/MT+\u201d \u2192 \u201c8.5\u201d). Exclude gameplay suffixes and level indicators from Pok\u00e9mon names (e.g., \u201cLatias ex\u201d \u2192 \u201cLatias\u201d). Return HP as digits only (e.g., \u201c120 HP\u201d \u2192 \u201c120\u201d).\\n\\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "03e8eea220d06cd2e6005fdb922bc3c3d6c2e85b93a23339e3d5be5002efc76a", "category": "structured", "subset": "6c56b14aa8dbe996", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "3a6785d1e3f3634b72d6e3e89a6c082ec0ddf09f659eafc3a84ad0ce7f13f877", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on this SGC-graded trading card and its holder. Return only a valid JSON object with these fields:\n\n{\n \"grading\": {\n \"year\": null,\n \"set_name\": null,\n \"grade\": null,\n \"certification_number\": null\n },\n \"card\": {\n \"name\": null,\n \"hp\": null,\n \"evolves_from\": null,\n \"card_number\": null,\n \"illustrator\": null\n }\n}\n\nRead grading fields from the holder and card fields from the card. Return the numeric grade only (e.g., \u201c8.5 NM/MT+\u201d \u2192 \u201c8.5\u201d). Exclude gameplay suffixes and level indicators from Pok\u00e9mon names (e.g., \u201cLatias ex\u201d \u2192 \u201cLatias\u201d). Return HP as digits only (e.g., \u201c120 HP\u201d \u2192 \u201c120\u201d).\n\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 0.8889, "status": "ok", "format_compliant": true, "matched_fields": 8, "reference_fields": 9, "predicted_fields": 9, "non_null_field_accuracy": 0.875, "object_exact_match": false, "attempts": 1, "retries": 0, "total_seconds": 7.7365}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 461, "image": "image_aa8330be2ef7aff42720bb2b_jpg.rf.e7f05fbfe6d12f3d827f0badc3287bd6.jpg", "expected": "KMP3-06615", "predicted": "KMP3-06615", "correct": true, "input_tokens": 1168, "output_tokens": 13, "elapsed_seconds": 3.9908936669817194, "metadata": {"question": "{\"question\": \"Read the most prominent locomotive or carriage identification code in this image. Include its letter prefix and all digits. Remove spaces; preserve printed hyphens and other punctuation. Exclude route names, depot names and technical specifications. Return only the code, or null if unreadable. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "c5bbfc8d87d7a7f8e1a1e5a319668d54dbaf1b2ce85d1139f421b7f45c57f66c", "category": "single_string", "subset": "4a0ef4856867c9de", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "8e7d4394718a2d47ef105dc341413eff9e889a176b4a8bda59a8f9dcaaa11e25", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the most prominent locomotive or carriage identification code in this image. Include its letter prefix and all digits. Remove spaces; preserve printed hyphens and other punctuation. Exclude route names, depot names and technical specifications. Return only the code, or null if unreadable. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 4.0214}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 462, "image": "image_167bfd7cc4e0874503facd66_jpg.rf.63b0e341410cb7145d21742cf87806a3.jpg", "expected": "01882.2", "predicted": "01882.2", "correct": true, "input_tokens": 1135, "output_tokens": 11, "elapsed_seconds": 2.962562291068025, "metadata": {"question": "{\"question\": \"Read the total mileage shown on the odometer in this image. Return only the numeric reading, preserving leading zeros and any decimal separator. Do not include the trip reading, units, or explain.\", \"task\": \"single_string\"}", "sample_id": "973b90c7f672126316a142c0846ca6b1006eb482f28ff889e474961c7a5254e6", "category": "single_string", "subset": "12ff5ae87687aff8", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "89ef0e5bb5b4276037fc3e535da3ce725bdaf36eb403c42627310588a64a2375", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the total mileage shown on the odometer in this image. Return only the numeric reading, preserving leading zeros and any decimal separator. Do not include the trip reading, units, or explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 2.9934}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 463, "image": "image_44beab8525de5867c99a026b_jpg.rf.9ca5e13e2f95c5d2a30d0991ff1b19a7.jpg", "expected": "{\"heat_number\":\"A79336\",\"billet_id\":\"1033\"}", "predicted": "{\n \"heat_number\": \"A79336\",\n \"billet_id\": \"1033\"\n}", "correct": true, "input_tokens": 1249, "output_tokens": 36, "elapsed_seconds": 2.4415213329484686, "metadata": {"question": "{\"question\": \"Extract the information printed on the end of this metal billet. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"heat_number\\\": null,\\n \\\"billet_id\\\": null\\n}\\n\\nUse the letter-prefixed code for heat_number and the separate shorter numeric code for billet_id. Preserve leading zeros and omit spaces within codes.\\n\\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "dc6024c698487a7b114ac621ce62ce40a6d2b69616cfe4b7d60a2b6e3f09e200", "category": "structured", "subset": "84ce444ef86dc04d", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "75eb3909e732232d6aff5bd3bb97a9290f224325ed4ec4a4aae3624758fadb75", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on the end of this metal billet. Return only a valid JSON object with these fields:\n\n{\n \"heat_number\": null,\n \"billet_id\": null\n}\n\nUse the letter-prefixed code for heat_number and the separate shorter numeric code for billet_id. Preserve leading zeros and omit spaces within codes.\n\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 2, "reference_fields": 2, "predicted_fields": 2, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 2.4469}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 464, "image": "image_6116f045220860cba5fdcfe2_jpg.rf.e2a2960b4bc106e1a71323c11d5ddd5e.jpg", "expected": "{\"serving_size\":\"1 pudding cup (92g)\",\"servings_per_container\":\"4\",\"calories\":\"110\",\"total_fat\":{\"amount\":\"2.5g\",\"daily_value\":\"4%\"},\"saturated_fat\":{\"amount\":\"1.5g\",\"daily_value\":\"8%\"},\"trans_fat\":{\"amount\":\"0g\",\"daily_value\":null},\"cholesterol\":{\"amount\":\"0mg\",\"daily_value\":\"0%\"},\"sodium\":{\"amount\":\"125mg\",\"daily_value\":\"5%\"},\"total_carbohydrate\":{\"amount\":\"20g\",\"daily_value\":\"7%\"},\"dietary_fiber\":{\"amount\":\"less than 1g\",\"daily_value\":\"4%\"},\"total_sugars\":{\"amount\":\"13g\",\"daily_value\":null},\"protein\":{\"amount\":\"1g\",\"daily_value\":null},\"vitamin_a\":{\"amount\":null,\"daily_value\":\"0%\"},\"vitamin_c\":{\"amount\":null,\"daily_value\":\"0%\"},\"calcium\":{\"amount\":null,\"daily_value\":\"30%\"},\"iron\":{\"amount\":null,\"daily_value\":\"0%\"},\"potassium\":{\"amount\":\"65mg\",\"daily_value\":\"2%\"}}", "predicted": "{\n \"serving_size\": \"1 pudding cup (92g)\",\n \"servings_per_container\": \"4\",\n \"calories\": \"110\",\n \"total_fat\": {\n \"amount\": \"2.5g\",\n \"daily_value\": \"4%\"\n },\n \"saturated_fat\": {\n \"amount\": \"1.5g\",\n \"daily_value\": \"8%\"\n },\n \"trans_fat\": {\n \"amount\": \"0g\",\n \"daily_value\": null\n },\n \"cholesterol\": {\n \"amount\": \"0mg\",\n \"daily_value\": \"0%\"\n },\n \"sodium\": {\n \"amount\": \"125mg\",\n \"daily_value\": \"5%\"\n },\n \"total_carbohydrate\": {\n \"amount\": \"20g\",\n \"daily_value\": \"7%\"\n },\n \"dietary_fiber\": {\n \"amount\": \"less than 1g\",\n \"daily_value\": \"4%\"\n },\n \"total_sugars\": {\n \"amount\": \"13g\",\n \"daily_value\": null\n },\n \"protein\": {\n \"amount\": \"1g\",\n \"daily_value\": null\n },\n \"vitamin_a\": {\n \"amount\": null,\n \"daily_value\": \"0%\"\n },\n \"vitamin_c\": {\n \"amount\": null,\n \"daily_value\": \"0%\"\n },\n \"calcium\": {\n \"amount\": null,\n \"daily_value\": \"30%\"\n },\n \"iron\": {\n \"amount\": null,\n \"daily_value\": \"0%\"\n },\n \"potassium\": {\n \"amount\": \"65mg\",\n \"daily_value\": \"2%\"\n }\n}", "correct": true, "input_tokens": 1629, "output_tokens": 456, "elapsed_seconds": 11.542177500086837, "metadata": {"question": "{\"question\": \"Extract the information printed in the main Nutrition Facts panel in this image. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"serving_size\\\": null,\\n \\\"servings_per_container\\\": null,\\n \\\"calories\\\": null,\\n \\\"total_fat\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"saturated_fat\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"trans_fat\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"cholesterol\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"sodium\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"total_carbohydrate\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"dietary_fiber\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"total_sugars\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"protein\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"vitamin_a\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"vitamin_c\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"calcium\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"iron\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"potassium\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null}\\n}\\n\\nUse per-serving values as packaged, not prepared or per-container values. Use Calories, not Calories from Fat. Map \u201cSugars\u201d to total_sugars.\\n\\nKeep nutrient amounts and daily-value percentages separate (e.g., \u201cCalcium 260 mg 20%\u201d \u2192 {\\\"amount\\\": \\\"260mg\\\", \\\"daily_value\\\": \\\"20%\\\"}). Preserve printed units and qualifiers; do not calculate or convert values.\\n\\nFormat serving_size as household measure followed by metric quantity in parentheses (e.g., \u201c2 pieces 30 g\u201d \u2192 \u201c2 pieces (30g)\u201d). If only one measure is printed, return it alone. Preserve additional serving-size details.\\n\\nRemove spaces between numbers and units or % signs. Preserve all other text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nInclude every key. Use strings for extracted values and null for missing or unreadable values, including individual amounts or percentages. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "e17f3018d685f42b68c692038e65c9a46b580801064e0637280ddf31a8e8528f", "category": "structured", "subset": "3d0c26ee8395584a", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "2c55c913f57dd122d586ed298b44c10c9e2f887d7420fc6b3c6947cbad966820", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed in the main Nutrition Facts panel in this image. Return only a valid JSON object with these fields:\n\n{\n \"serving_size\": null,\n \"servings_per_container\": null,\n \"calories\": null,\n \"total_fat\": {\"amount\": null, \"daily_value\": null},\n \"saturated_fat\": {\"amount\": null, \"daily_value\": null},\n \"trans_fat\": {\"amount\": null, \"daily_value\": null},\n \"cholesterol\": {\"amount\": null, \"daily_value\": null},\n \"sodium\": {\"amount\": null, \"daily_value\": null},\n \"total_carbohydrate\": {\"amount\": null, \"daily_value\": null},\n \"dietary_fiber\": {\"amount\": null, \"daily_value\": null},\n \"total_sugars\": {\"amount\": null, \"daily_value\": null},\n \"protein\": {\"amount\": null, \"daily_value\": null},\n \"vitamin_a\": {\"amount\": null, \"daily_value\": null},\n \"vitamin_c\": {\"amount\": null, \"daily_value\": null},\n \"calcium\": {\"amount\": null, \"daily_value\": null},\n \"iron\": {\"amount\": null, \"daily_value\": null},\n \"potassium\": {\"amount\": null, \"daily_value\": null}\n}\n\nUse per-serving values as packaged, not prepared or per-container values. Use Calories, not Calories from Fat. Map \u201cSugars\u201d to total_sugars.\n\nKeep nutrient amounts and daily-value percentages separate (e.g., \u201cCalcium 260 mg 20%\u201d \u2192 {\"amount\": \"260mg\", \"daily_value\": \"20%\"}). Preserve printed units and qualifiers; do not calculate or convert values.\n\nFormat serving_size as household measure followed by metric quantity in parentheses (e.g., \u201c2 pieces 30 g\u201d \u2192 \u201c2 pieces (30g)\u201d). If only one measure is printed, return it alone. Preserve additional serving-size details.\n\nRemove spaces between numbers and units or % signs. Preserve all other text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nInclude every key. Use strings for extracted values and null for missing or unreadable values, including individual amounts or percentages. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 31, "reference_fields": 31, "predicted_fields": 31, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 11.8483}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 465, "image": "image_6163e7fd90ec240467bb02b7_jpg.rf.45316b7e7b58792258be6a67ee0172ba.jpg", "expected": "{\"serving_size\":\"1/2 cup (120mL) condensed soup\",\"servings_per_container\":\"about 2.5\",\"calories\":\"60\",\"total_fat\":{\"amount\":\"2.5g\",\"daily_value\":\"4%\"},\"saturated_fat\":{\"amount\":\"0.5g\",\"daily_value\":\"3%\"},\"trans_fat\":{\"amount\":\"0g\",\"daily_value\":null},\"cholesterol\":{\"amount\":\"0mg\",\"daily_value\":\"0%\"},\"sodium\":{\"amount\":\"750mg\",\"daily_value\":\"31%\"},\"total_carbohydrate\":{\"amount\":\"9g\",\"daily_value\":\"3%\"},\"dietary_fiber\":{\"amount\":\"1g\",\"daily_value\":\"4%\"},\"total_sugars\":{\"amount\":\"0g\",\"daily_value\":null},\"protein\":{\"amount\":\"1g\",\"daily_value\":null},\"vitamin_a\":{\"amount\":null,\"daily_value\":\"0%\"},\"vitamin_c\":{\"amount\":null,\"daily_value\":\"0%\"},\"calcium\":{\"amount\":null,\"daily_value\":\"2%\"},\"iron\":{\"amount\":null,\"daily_value\":\"0%\"},\"potassium\":{\"amount\":\"60mg\",\"daily_value\":\"2%\"}}", "predicted": "{\n \"serving_size\": \"1/2 cup (120mL) condensed soup\",\n \"servings_per_container\": \"about 2.5\",\n \"calories\": \"60\",\n \"total_fat\": {\"amount\": \"2.5g\", \"daily_value\": \"4%\"},\n \"saturated_fat\": {\"amount\": \"0.5g\", \"daily_value\": \"3%\"},\n \"trans_fat\": {\"amount\": \"0g\", \"daily_value\": null},\n \"cholesterol\": {\"amount\": \"0mg\", \"daily_value\": \"0%\"},\n \"sodium\": {\"amount\": \"750mg\", \"daily_value\": \"31%\"},\n \"total_carbohydrate\": {\"amount\": \"9g\", \"daily_value\": \"3%\"},\n \"dietary_fiber\": {\"amount\": \"1g\", \"daily_value\": \"4%\"},\n \"total_sugars\": {\"amount\": \"0g\", \"daily_value\": null},\n \"protein\": {\"amount\": \"1g\", \"daily_value\": null},\n \"vitamin_a\": {\"amount\": null, \"daily_value\": \"0%\"},\n \"vitamin_c\": {\"amount\": null, \"daily_value\": \"0%\"},\n \"calcium\": {\"amount\": null, \"daily_value\": \"2%\"},\n \"iron\": {\"amount\": null, \"daily_value\": \"0%\"},\n \"potassium\": {\"amount\": \"60mg\", \"daily_value\": \"2%\"}\n}", "correct": true, "input_tokens": 1629, "output_tokens": 362, "elapsed_seconds": 39.67855570896063, "metadata": {"question": "{\"question\": \"Extract the information printed in the main Nutrition Facts panel in this image. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"serving_size\\\": null,\\n \\\"servings_per_container\\\": null,\\n \\\"calories\\\": null,\\n \\\"total_fat\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"saturated_fat\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"trans_fat\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"cholesterol\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"sodium\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"total_carbohydrate\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"dietary_fiber\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"total_sugars\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"protein\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"vitamin_a\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"vitamin_c\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"calcium\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"iron\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"potassium\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null}\\n}\\n\\nUse per-serving values as packaged, not prepared or per-container values. Use Calories, not Calories from Fat. Map \u201cSugars\u201d to total_sugars.\\n\\nKeep nutrient amounts and daily-value percentages separate (e.g., \u201cCalcium 260 mg 20%\u201d \u2192 {\\\"amount\\\": \\\"260mg\\\", \\\"daily_value\\\": \\\"20%\\\"}). Preserve printed units and qualifiers; do not calculate or convert values.\\n\\nFormat serving_size as household measure followed by metric quantity in parentheses (e.g., \u201c2 pieces 30 g\u201d \u2192 \u201c2 pieces (30g)\u201d). If only one measure is printed, return it alone. Preserve additional serving-size details.\\n\\nRemove spaces between numbers and units or % signs. Preserve all other text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nInclude every key. Use strings for extracted values and null for missing or unreadable values, including individual amounts or percentages. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "34d4c159c57a73e073f10d3c6322aae44fe68228abcfa0d35e63a2fcef145fe4", "category": "structured", "subset": "3d0c26ee8395584a", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "ddb3d1f30f117a066764270d740f3d0b2df8e606198de18ea1a633753b2e1d38", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed in the main Nutrition Facts panel in this image. Return only a valid JSON object with these fields:\n\n{\n \"serving_size\": null,\n \"servings_per_container\": null,\n \"calories\": null,\n \"total_fat\": {\"amount\": null, \"daily_value\": null},\n \"saturated_fat\": {\"amount\": null, \"daily_value\": null},\n \"trans_fat\": {\"amount\": null, \"daily_value\": null},\n \"cholesterol\": {\"amount\": null, \"daily_value\": null},\n \"sodium\": {\"amount\": null, \"daily_value\": null},\n \"total_carbohydrate\": {\"amount\": null, \"daily_value\": null},\n \"dietary_fiber\": {\"amount\": null, \"daily_value\": null},\n \"total_sugars\": {\"amount\": null, \"daily_value\": null},\n \"protein\": {\"amount\": null, \"daily_value\": null},\n \"vitamin_a\": {\"amount\": null, \"daily_value\": null},\n \"vitamin_c\": {\"amount\": null, \"daily_value\": null},\n \"calcium\": {\"amount\": null, \"daily_value\": null},\n \"iron\": {\"amount\": null, \"daily_value\": null},\n \"potassium\": {\"amount\": null, \"daily_value\": null}\n}\n\nUse per-serving values as packaged, not prepared or per-container values. Use Calories, not Calories from Fat. Map \u201cSugars\u201d to total_sugars.\n\nKeep nutrient amounts and daily-value percentages separate (e.g., \u201cCalcium 260 mg 20%\u201d \u2192 {\"amount\": \"260mg\", \"daily_value\": \"20%\"}). Preserve printed units and qualifiers; do not calculate or convert values.\n\nFormat serving_size as household measure followed by metric quantity in parentheses (e.g., \u201c2 pieces 30 g\u201d \u2192 \u201c2 pieces (30g)\u201d). If only one measure is printed, return it alone. Preserve additional serving-size details.\n\nRemove spaces between numbers and units or % signs. Preserve all other text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nInclude every key. Use strings for extracted values and null for missing or unreadable values, including individual amounts or percentages. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 31, "reference_fields": 31, "predicted_fields": 31, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 40.1871}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 466, "image": "image_e1f3e8f6c805bc52de7f9b11_jpg.rf.9a71427ac108914516a4b2b8c5087844.jpg", "expected": "{\"application_id\":\"1023654\",\"application_date\":\"7032029\",\"product_type\":\"Home Equity\",\"tenure_months\":\"012\",\"loan_amount\":\"50000000\",\"applicant_name\":\"MUKUL\",\"birth_date\":\"03052001\",\"current_address\":\"FLAT NO. 101 SRI GAJANANA NILAYA VAILAMYA LAYOUT\",\"current_city\":\"BENGALURU\",\"current_state\":\"KARNATAKA\",\"current_postal_code\":\"560035\",\"current_mobile\":\"9876543210\",\"pan_number\":\"FWPNO1234F\"}", "predicted": "{\n \"application_id\": \"1023654\",\n \"application_date\": \"7032029\",\n \"product_type\": \"Home Equity\",\n \"tenure_months\": \"012\",\n \"loan_amount\": \"50000000\",\n \"applicant_name\": \"MUKUL\",\n \"birth_date\": \"03052001\",\n \"current_address\": \"FLAT NO. 101 SRI GAJANANA NILAYA VAILANYA LAYOUT\",\n \"current_city\": \"BENGALURU\",\n \"current_state\": \"KARNATAKA\",\n \"current_postal_code\": \"560035\",\n \"current_mobile\": \"9876543210\",\n \"pan_number\": \"FWPN01234F\"\n}", "correct": false, "input_tokens": 1404, "output_tokens": 213, "elapsed_seconds": 5.417704958003014, "metadata": {"question": "{\"question\": \"Extract the completed applicant and loan fields from this loan application. Return only a valid JSON object with this structure:\\n\\n{\\n \\\"application_id\\\": null,\\n \\\"application_date\\\": null,\\n \\\"product_type\\\": null,\\n \\\"tenure_months\\\": null,\\n \\\"loan_amount\\\": null,\\n \\\"applicant_name\\\": null,\\n \\\"birth_date\\\": null,\\n \\\"current_address\\\": null,\\n \\\"current_city\\\": null,\\n \\\"current_state\\\": null,\\n \\\"current_postal_code\\\": null,\\n \\\"current_mobile\\\": null,\\n \\\"pan_number\\\": null\\n}\\n\\nUse Application ID No., not Application Form No. Read the current address, not the permanent address. Remove spaces between character boxes in identifiers and numbers; retain word spaces in names and addresses. For product_type, copy the single checked option; use null if none or several are selected. Transcribe date-box contents as written without inventing separators, even if malformed. Keep leading zeros in numbers.\\n\\nPreserve spelling, capitalization and punctuation; join line breaks within a field with spaces. Do not infer, correct or translate. Ignore filler dashes in unused boxes. For current_address, include only Current Residence Address lines, excluding the separately labelled landmark, city, state and postal-code fields. Use strings for values and null for missing or unreadable fields. Include every key. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "109a8a02fd738cbf58c79f5399d5c849314b889e4c47fce23d8d068b99776ffc", "category": "structured", "subset": "320cb142e1839899", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "55f5cca67ffe947bdd9a3ab327ac31791ba72704d5ff92d1fcad40bab491edf5", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the completed applicant and loan fields from this loan application. Return only a valid JSON object with this structure:\n\n{\n \"application_id\": null,\n \"application_date\": null,\n \"product_type\": null,\n \"tenure_months\": null,\n \"loan_amount\": null,\n \"applicant_name\": null,\n \"birth_date\": null,\n \"current_address\": null,\n \"current_city\": null,\n \"current_state\": null,\n \"current_postal_code\": null,\n \"current_mobile\": null,\n \"pan_number\": null\n}\n\nUse Application ID No., not Application Form No. Read the current address, not the permanent address. Remove spaces between character boxes in identifiers and numbers; retain word spaces in names and addresses. For product_type, copy the single checked option; use null if none or several are selected. Transcribe date-box contents as written without inventing separators, even if malformed. Keep leading zeros in numbers.\n\nPreserve spelling, capitalization and punctuation; join line breaks within a field with spaces. Do not infer, correct or translate. Ignore filler dashes in unused boxes. For current_address, include only Current Residence Address lines, excluding the separately labelled landmark, city, state and postal-code fields. Use strings for values and null for missing or unreadable fields. Include every key. Do not include explanations or Markdown.", "match_method": "structured", "score": 0.8462, "status": "ok", "format_compliant": true, "matched_fields": 11, "reference_fields": 13, "predicted_fields": 13, "non_null_field_accuracy": 0.8461538461538461, "object_exact_match": false, "attempts": 1, "retries": 0, "total_seconds": 5.5448}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 467, "image": "image_a55f806ce7be34a0734f8977_jpg.rf.54d448122ebd81b594d4bfb2bdf39118.jpg", "expected": "{\"grading\":{\"year\":\"1999\",\"set_name\":\"POKEMON BASE\",\"grade\":\"8\",\"certification_number\":\"1266635\"},\"card\":{\"name\":\"Charizard\",\"hp\":\"120\",\"evolves_from\":\"Charmeleon\",\"card_number\":\"4/102\",\"illustrator\":\"Mitsuhiro Arita\"}}", "predicted": "{\n \"grading\": {\n \"year\": \"1999\",\n \"set_name\": \"POKEMON BASE\",\n \"grade\": \"8\",\n \"certification_number\": \"1266635\"\n },\n \"card\": {\n \"name\": \"Charizard\",\n \"hp\": \"120\",\n \"evolves_from\": \"Charmeleon\",\n \"card_number\": \"4/102\",\n \"illustrator\": \"Mitsuhiro Arita\"\n }\n}", "correct": true, "input_tokens": 1364, "output_tokens": 130, "elapsed_seconds": 4.107385749928653, "metadata": {"question": "{\"question\": \"Extract the information printed on this SGC-graded trading card and its holder. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"grading\\\": {\\n \\\"year\\\": null,\\n \\\"set_name\\\": null,\\n \\\"grade\\\": null,\\n \\\"certification_number\\\": null\\n },\\n \\\"card\\\": {\\n \\\"name\\\": null,\\n \\\"hp\\\": null,\\n \\\"evolves_from\\\": null,\\n \\\"card_number\\\": null,\\n \\\"illustrator\\\": null\\n }\\n}\\n\\nRead grading fields from the holder and card fields from the card. Return the numeric grade only (e.g., \u201c8.5 NM/MT+\u201d \u2192 \u201c8.5\u201d). Exclude gameplay suffixes and level indicators from Pok\u00e9mon names (e.g., \u201cLatias ex\u201d \u2192 \u201cLatias\u201d). Return HP as digits only (e.g., \u201c120 HP\u201d \u2192 \u201c120\u201d).\\n\\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "94befa70ad6c19e91b34fb4d686ef890d993feae781f94033af7ef9a083a471e", "category": "structured", "subset": "6c56b14aa8dbe996", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "37f5482e28c203c529456d8d2f07e7462388cff9c099168a8c83533f30f20205", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on this SGC-graded trading card and its holder. Return only a valid JSON object with these fields:\n\n{\n \"grading\": {\n \"year\": null,\n \"set_name\": null,\n \"grade\": null,\n \"certification_number\": null\n },\n \"card\": {\n \"name\": null,\n \"hp\": null,\n \"evolves_from\": null,\n \"card_number\": null,\n \"illustrator\": null\n }\n}\n\nRead grading fields from the holder and card fields from the card. Return the numeric grade only (e.g., \u201c8.5 NM/MT+\u201d \u2192 \u201c8.5\u201d). Exclude gameplay suffixes and level indicators from Pok\u00e9mon names (e.g., \u201cLatias ex\u201d \u2192 \u201cLatias\u201d). Return HP as digits only (e.g., \u201c120 HP\u201d \u2192 \u201c120\u201d).\n\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 9, "reference_fields": 9, "predicted_fields": 9, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 4.1804}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 468, "image": "image_72a130eed08b66bb988ae8a6_jpg.rf.f318f905c227c2c99acd0e92d095819d.jpg", "expected": "250203", "predicted": "250203", "correct": true, "input_tokens": 1143, "output_tokens": 10, "elapsed_seconds": 2.2315861670067534, "metadata": {"question": "{\"question\": \"Read the six-digit code engraved on the metal surface. Return only the code as a string of digits, preserving leading zeros. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "fa07a196cc3a0d0e1e0d5477842421acf8abb9b117aa3e7a2928f42f7f6670f9", "category": "single_string", "subset": "f2a87f15a0d3eb96", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "151063d75e77cc4fc511ec3f8c1773d14f511ddaaeeea45f43cd8e287d17e1a2", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the six-digit code engraved on the metal surface. Return only the code as a string of digits, preserving leading zeros. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 2.2449}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 469, "image": "image_6cdb837298c334cd559f73d8_jpg.rf.6ac8f92bfe4df1fa3a13b446ebcce98a.jpg", "expected": "KA51MJ2778", "predicted": "KA51MJ2778", "correct": true, "input_tokens": 1196, "output_tokens": 12, "elapsed_seconds": 2.597131041926332, "metadata": {"question": "{\"question\": \"Read the registration number on the largest visible vehicle license plate. Return only the registration number, reading multiple lines from top to bottom, omitting spaces and preserving letters, digits, leading zeros and hyphens. Exclude country labels, vehicle branding and video overlays. Return null if the complete registration number is unreadable. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "5ebd4a2c4db8e915c553254f14ad81ec25c60c1064fd37b537db6266a14bbb05", "category": "single_string", "subset": "d883528f51470f78", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "4317443ace82ba361d9a54fa29dc76c6d141667175a3dd85bf8c08907c9fc67a", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the registration number on the largest visible vehicle license plate. Return only the registration number, reading multiple lines from top to bottom, omitting spaces and preserving letters, digits, leading zeros and hyphens. Exclude country labels, vehicle branding and video overlays. Return null if the complete registration number is unreadable. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 2.6587}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 470, "image": "image_795af7b3e264a152baa894ed_jpg.rf.b79f6782c37e0085034bfa1ff17758c1.jpg", "expected": "LC78327", "predicted": "LC78827", "correct": false, "input_tokens": 1135, "output_tokens": 10, "elapsed_seconds": 3.787002500030212, "metadata": {"question": "{\"question\": \"Read the batch or lot code printed on the blister pack. Return only the code, preserving letters, digits and separators. Exclude manufacturing and expiration dates and all other text. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "fe1a012c890cbe1e28bcd6e2b370f1a2eb8bc5e582fde22d4a87cbf3b0020a28", "category": "single_string", "subset": "d62695ff7dd95e0d", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "74b47eb9b1cd4bc04c14e50931de6d77bdab3769360ce949f1f0a7179d352853", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the batch or lot code printed on the blister pack. Return only the code, preserving letters, digits and separators. Exclude manufacturing and expiration dates and all other text. Do not explain.", "match_method": "single_string", "score": 0.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 3.9129}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 471, "image": "image_9b6d87aaaa46cfbbe82fc5e3_png_jpg.rf.948fc36e7835a2b0df88f1e64df12be5.jpg", "expected": "Allasia Gabriele\n\nNumero Sei\nRoggia Massimo\n\nL'anno mille ottocento ottantotto add\u00ec otto del mese\ndi Marzo ed alle ore tre pomeridiane nella sala Comunale\ndi Varzo aperta al pubblico.\nIo sottoscritto Allasia Gabriele Sindaco ed ufficiale\ndello Stato Civile del Comune di Varzo, avendo ricevuto\ndal Signor Procuratore del Re di Domodossola la copia\nautentica dell'atto di nascita di Roggia Massimo\nper essere trascritta nei registri dello Stato Civile di\nquesto Comune a senso di Legge ho proceduto alla trascri-\nzione dell'atto suddetto che \u00e8 del tenore seguente.\nConfederazione Svizzera - Cantone di Vaud. Circonda-\nrio dello Stato Civile di Mollondins.\nEstratto dal registro delle nascite volume A foglio\ntrecento ottanta.", "predicted": "Allasia Gabriele\n\nNumero Sei\nRoggia Massimo\n\nL'anno mille ottocento ottantotto add\u00ec otto del mese\ndi Marzo ed alle ore tre pomeridiane nella sala Comunale\ndi Varzo aperta al pubblico.\nIo sottoscritto Allasia Gabriele Sindaco ed ufficiale\ndello Stato Civile del Comune di Varzo, avendo ricevuto\ndal Signor Procuratore del Re di Domodossola la copia\nautentica dell'atto di nascita di Roggia Massimo\nper essere trascritta nei registri dello Stato Civile di\nquesto Comune a senso di Legge ho proceduto alla trascri-\nzione dell'atto suddetto che \u00e8 del tenore seguente.\nConfederazione Svizzera - Cantone di Vaud. Circondario\ndello Stato Civile di Molondin\nEstratto dal registro delle nascite volume A foglio\ntrecento settanta.", "correct": false, "input_tokens": 1161, "output_tokens": 192, "elapsed_seconds": 4.509142083930783, "metadata": {"question": "{\"question\": \"Transcribe all visible text in this document in reading order. Preserve the original language, spelling, capitalization, punctuation, and paragraph breaks. Omit blank ruling lines, decorative separators, and bleed-through; do not represent them with underscores or dashes. Return only the transcription, without editorial notes, translation, or explanation.\", \"task\": \"transcription\"}", "sample_id": "df33c67ee95f6d1b12ec36e1ecd34a4cc5508492d3b4971d9fb59cdcdb3ac51a", "category": "transcription", "subset": "87309538184438ef", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "b101cbaf47fc942effbce484b0346bfc52668cb0adb2a0c2e0ddef733e147ef3", "text_protocol": "mixed-text-v2", "scoring_profile": "transcription", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Transcribe all visible text in this document in reading order. Preserve the original language, spelling, capitalization, punctuation, and paragraph breaks. Omit blank ruling lines, decorative separators, and bleed-through; do not represent them with underscores or dashes. Return only the transcription, without editorial notes, translation, or explanation.", "match_method": "transcription", "score": 0.989, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 4.5613}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 472, "image": "image_a05468b56b3cd6d18843dd8e_jpg.rf.0763519b4e8acdc31404c8be3a24da7e.jpg", "expected": "W1", "predicted": "W1", "correct": true, "input_tokens": 1154, "output_tokens": 6, "elapsed_seconds": 2.801296249963343, "metadata": {"question": "{\"question\": \"Read the letters and numbers imprinted on the pill in this image. Return only the text, preserving capitalization and separating lines with a single space. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "3d13bef1a8314ec581211e89d944168381d5fee9fce9ff5ca0087755db2afc7f", "category": "single_string", "subset": "5c725e357739b9ce", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "eaa7bffd8b20d53757071d074a116f05f2afcb9eb5458f407e6e1111c76c3662", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the letters and numbers imprinted on the pill in this image. Return only the text, preserving capitalization and separating lines with a single space. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 2.8076}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 473, "image": "image_93abdc6227c8651afb6483bc_jpg.rf.11ff0335c90eedf9b1ee9b9aee7dc1eb.jpg", "expected": "{\"scientific_name\":\"Vinca pubescens d'Urv.\",\"collector\":\"J. Stone, M. Merello, M. Eristavi & N. Meniadze\",\"collection_number\":\"1760\",\"collection_date\":\"20 June 1999\",\"locality\":\"Batumi. Chorokhi River - on banks. Near Turkish border at confluence of Chorokhi and Matschakhela River. 41\u00b031'41\\\"N 041\u00b043'17\\\"E 50 m\"}", "predicted": "{\"scientific_name\": \"Vinca pubescens d'Urv.\", \"collector\": \"J. Stone, M. Merello, M. Eristavi & N. Meniadze\", \"collection_number\": \"1760\", \"collection_date\": \"20 June 1999\", \"locality\": \"Batumi. Chorokhi River - on banks. Near Turkish border at confluence of Chorokhi and Matschakhela River. 41\u00b031'41\\\"N 041\u00b043'17\\\"E 50 m\"}", "correct": true, "input_tokens": 1369, "output_tokens": 128, "elapsed_seconds": 3.864420917001553, "metadata": {"question": "{\"question\": \"Extract the information from the main specimen label in this herbarium image. Return only a valid JSON object with this structure:\\n\\n{\\n \\\"scientific_name\\\": null,\\n \\\"collector\\\": null,\\n \\\"collection_number\\\": null,\\n \\\"collection_date\\\": null,\\n \\\"locality\\\": null\\n}\\n\\nReturn one object for the main specimen label. Use only information on that label; exclude later identification slips, barcode/accession stickers and institutional stamps. Include the scientific name\u2019s printed rank and author. Use the collection date, not the identification date, and the collector\u2019s number, not a barcode or accession number. For locality, copy the locality, elevation and coordinates in reading order, including printed prefixes such as Alt.; join fragments with spaces and preserve punctuation. Exclude habitat notes. Use a geographic heading only when no locality is given, copying the place name without introductory wording. Do not add information from other labels. Use plain hyphens, apostrophes and double quotes, including coordinate primes.\\n\\nPreserve text as printed or handwritten, joining line breaks within a field with spaces. Do not infer missing information or translate. Include every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "2c352c4521e2349ecb758180bb5d8542bb785f4489e55e5bb85bf9be9e50c7c4", "category": "structured", "subset": "a46f70a1dc4301ad", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "1f6fc7600b260c43513e2c6456a84ce4b3559ab743632667afd17aab6aed8c12", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information from the main specimen label in this herbarium image. Return only a valid JSON object with this structure:\n\n{\n \"scientific_name\": null,\n \"collector\": null,\n \"collection_number\": null,\n \"collection_date\": null,\n \"locality\": null\n}\n\nReturn one object for the main specimen label. Use only information on that label; exclude later identification slips, barcode/accession stickers and institutional stamps. Include the scientific name\u2019s printed rank and author. Use the collection date, not the identification date, and the collector\u2019s number, not a barcode or accession number. For locality, copy the locality, elevation and coordinates in reading order, including printed prefixes such as Alt.; join fragments with spaces and preserve punctuation. Exclude habitat notes. Use a geographic heading only when no locality is given, copying the place name without introductory wording. Do not add information from other labels. Use plain hyphens, apostrophes and double quotes, including coordinate primes.\n\nPreserve text as printed or handwritten, joining line breaks within a field with spaces. Do not infer missing information or translate. Include every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 5, "reference_fields": 5, "predicted_fields": 5, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 3.9132}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 474, "image": "image_c7988adb96dceec5d1a3f9f2_jpg.rf.f4c81fd614d62ba2df6415e890213939.jpg", "expected": "[{\"bbox\":[145,56,215,64],\"text\":\"@peerlessposters\"},{\"bbox\":[443,56,498,64],\"text\":\"Sun/05/24/20\"},{\"bbox\":[150,558,219,579],\"text\":\"Scale\"},{\"bbox\":[342,555,490,565],\"text\":\"Scale can often energize the design\"},{\"bbox\":[342,567,462,576],\"text\":\"by changing what we expect.\"},{\"bbox\":[342,578,440,587],\"text\":\"Scale conveys meaning\"}]", "predicted": "[{\"box_2d\": [86, 691, 98, 777], \"text\": \"Sun/05/24/20\"}, {\"box_2d\": [86, 226, 102, 336], \"text\": \"@peerlessposters\"}, {\"box_2d\": [866, 533, 881, 766], \"text\": \"Scale can often energize the design\"}, {\"box_2d\": [870, 234, 901, 341], \"text\": \"Scale\"}, {\"box_2d\": [884, 534, 898, 724], \"text\": \"by changing what we expect.\"}, {\"box_2d\": [902, 533, 916, 687], \"text\": \"Scale conveys meaning\"}]", "correct": true, "input_tokens": 1327, "output_tokens": 216, "elapsed_seconds": 3.6970825840253383, "metadata": {"question": "{\"question\": \"Locate and transcribe visible text on the poster.\", \"specification\": \"Use one box per text line; keep separate words or letter groups on strongly curved paths in separate boxes. Include rotated text. Exclude decorative shapes, photographs and non-text graphics. Return plain text, not LaTeX.\\n\\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\", \"task\": \"localization_recognition\"}", "sample_id": "056687c4782f1a619ec38bf8fb97feb2a9b1e11e7387b064383eb5511d84b9a2", "category": "localization_recognition", "subset": "a0ebbce28fa5095a", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "b80db71a7f3d971cfdbc51a34ed550d636eb44bd8377fddb92ec9f1d5b549d3b", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe visible text on the poster.\n\nUse one box per text line; keep separate words or letter groups on strongly curved paths in separate boxes. Include rotated text. Exclude decorative shapes, photographs and non-text graphics. Return plain text, not LaTeX.\n\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 1.0, "status": "ok", "format_compliant": true, "detection_f1": 1.0, "matched_regions": 6, "reference_regions": 6, "predicted_regions": 6, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 3.7189}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 475, "image": "image_02ae1d02a05e3e7ef7dbb146_jpg.rf.7530acb8ba1ce61ea94cd4ada1777257.jpg", "expected": "72392", "predicted": "72392", "correct": true, "input_tokens": 1134, "output_tokens": 9, "elapsed_seconds": 2.9835840420564637, "metadata": {"question": "{\"question\": \"Read the electricity meter reading shown on the LCD. Return only the reading, preserving leading zeros and any decimal point. Exclude the register code, units and serial number. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "6a4e7d5c9bdd325d952809202927b5a59eaf90ba236a4d599b4aba0e11487cdf", "category": "single_string", "subset": "0749a0105d22d9d4", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "38e00ae59e42bc6b6aa920dd9327d0466cc1685c40a4811449c437c527307c39", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the electricity meter reading shown on the LCD. Return only the reading, preserving leading zeros and any decimal point. Exclude the register code, units and serial number. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 3.0403}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 476, "image": "image_1c9a93f06dd51f4634158916_jpg.rf.d4096c66338ea8da3e2ca1398975a0a4.jpg", "expected": "{\"serving_size\":\"1 cup (257g)\",\"servings_per_container\":\"About 2\",\"calories\":\"260\",\"total_fat\":{\"amount\":\"11g\",\"daily_value\":\"17%\"},\"saturated_fat\":{\"amount\":\"4g\",\"daily_value\":\"20%\"},\"trans_fat\":{\"amount\":\"0g\",\"daily_value\":null},\"cholesterol\":{\"amount\":\"20mg\",\"daily_value\":\"7%\"},\"sodium\":{\"amount\":\"750mg\",\"daily_value\":\"31%\"},\"total_carbohydrate\":{\"amount\":\"31g\",\"daily_value\":\"10%\"},\"dietary_fiber\":{\"amount\":\"3g\",\"daily_value\":\"12%\"},\"total_sugars\":{\"amount\":\"8g\",\"daily_value\":null},\"protein\":{\"amount\":\"9g\",\"daily_value\":\"12%\"},\"vitamin_a\":{\"amount\":null,\"daily_value\":\"6%\"},\"vitamin_c\":{\"amount\":null,\"daily_value\":\"0%\"},\"calcium\":{\"amount\":null,\"daily_value\":\"2%\"},\"iron\":{\"amount\":null,\"daily_value\":\"10%\"},\"potassium\":{\"amount\":\"560mg\",\"daily_value\":\"16%\"}}", "predicted": "{\n \"serving_size\": \"1 cup (257g)\",\n \"servings_per_container\": \"About 2\",\n \"calories\": \"260\",\n \"total_fat\": {\"amount\": \"11g\", \"daily_value\": \"17%\"},\n \"saturated_fat\": {\"amount\": \"4g\", \"daily_value\": \"20%\"},\n \"trans_fat\": {\"amount\": \"0g\", \"daily_value\": null},\n \"cholesterol\": {\"amount\": \"20mg\", \"daily_value\": \"7%\"},\n \"sodium\": {\"amount\": \"750mg\", \"daily_value\": \"31%\"},\n \"total_carbohydrate\": {\"amount\": \"31g\", \"daily_value\": \"10%\"},\n \"dietary_fiber\": {\"amount\": \"3g\", \"daily_value\": \"12%\"},\n \"total_sugars\": {\"amount\": \"8g\", \"daily_value\": null},\n \"protein\": {\"amount\": \"9g\", \"daily_value\": \"12%\"},\n \"vitamin_a\": {\"amount\": null, \"daily_value\": \"6%\"},\n \"vitamin_c\": {\"amount\": null, \"daily_value\": \"0%\"},\n \"calcium\": {\"amount\": null, \"daily_value\": \"2%\"},\n \"iron\": {\"amount\": null, \"daily_value\": \"10%\"},\n \"potassium\": {\"amount\": \"560mg\", \"daily_value\": \"16%\"}\n}", "correct": true, "input_tokens": 1629, "output_tokens": 364, "elapsed_seconds": 6.605960167013109, "metadata": {"question": "{\"question\": \"Extract the information printed in the main Nutrition Facts panel in this image. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"serving_size\\\": null,\\n \\\"servings_per_container\\\": null,\\n \\\"calories\\\": null,\\n \\\"total_fat\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"saturated_fat\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"trans_fat\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"cholesterol\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"sodium\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"total_carbohydrate\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"dietary_fiber\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"total_sugars\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"protein\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"vitamin_a\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"vitamin_c\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"calcium\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"iron\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"potassium\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null}\\n}\\n\\nUse per-serving values as packaged, not prepared or per-container values. Use Calories, not Calories from Fat. Map \u201cSugars\u201d to total_sugars.\\n\\nKeep nutrient amounts and daily-value percentages separate (e.g., \u201cCalcium 260 mg 20%\u201d \u2192 {\\\"amount\\\": \\\"260mg\\\", \\\"daily_value\\\": \\\"20%\\\"}). Preserve printed units and qualifiers; do not calculate or convert values.\\n\\nFormat serving_size as household measure followed by metric quantity in parentheses (e.g., \u201c2 pieces 30 g\u201d \u2192 \u201c2 pieces (30g)\u201d). If only one measure is printed, return it alone. Preserve additional serving-size details.\\n\\nRemove spaces between numbers and units or % signs. Preserve all other text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nInclude every key. Use strings for extracted values and null for missing or unreadable values, including individual amounts or percentages. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "ffe8dbac7b61e4d50bf5a7624c3b6695f1accf83cac85f7929ea5c48db1383fc", "category": "structured", "subset": "3d0c26ee8395584a", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "1c9a93f06dd51f4634158916c4a0eef2b6ca1cb2a3b881cb2037e85b7cc7867b", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed in the main Nutrition Facts panel in this image. Return only a valid JSON object with these fields:\n\n{\n \"serving_size\": null,\n \"servings_per_container\": null,\n \"calories\": null,\n \"total_fat\": {\"amount\": null, \"daily_value\": null},\n \"saturated_fat\": {\"amount\": null, \"daily_value\": null},\n \"trans_fat\": {\"amount\": null, \"daily_value\": null},\n \"cholesterol\": {\"amount\": null, \"daily_value\": null},\n \"sodium\": {\"amount\": null, \"daily_value\": null},\n \"total_carbohydrate\": {\"amount\": null, \"daily_value\": null},\n \"dietary_fiber\": {\"amount\": null, \"daily_value\": null},\n \"total_sugars\": {\"amount\": null, \"daily_value\": null},\n \"protein\": {\"amount\": null, \"daily_value\": null},\n \"vitamin_a\": {\"amount\": null, \"daily_value\": null},\n \"vitamin_c\": {\"amount\": null, \"daily_value\": null},\n \"calcium\": {\"amount\": null, \"daily_value\": null},\n \"iron\": {\"amount\": null, \"daily_value\": null},\n \"potassium\": {\"amount\": null, \"daily_value\": null}\n}\n\nUse per-serving values as packaged, not prepared or per-container values. Use Calories, not Calories from Fat. Map \u201cSugars\u201d to total_sugars.\n\nKeep nutrient amounts and daily-value percentages separate (e.g., \u201cCalcium 260 mg 20%\u201d \u2192 {\"amount\": \"260mg\", \"daily_value\": \"20%\"}). Preserve printed units and qualifiers; do not calculate or convert values.\n\nFormat serving_size as household measure followed by metric quantity in parentheses (e.g., \u201c2 pieces 30 g\u201d \u2192 \u201c2 pieces (30g)\u201d). If only one measure is printed, return it alone. Preserve additional serving-size details.\n\nRemove spaces between numbers and units or % signs. Preserve all other text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nInclude every key. Use strings for extracted values and null for missing or unreadable values, including individual amounts or percentages. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 31, "reference_fields": 31, "predicted_fields": 31, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 6.8216}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 477, "image": "image_6f9f483906453c195db65aca_jpg.rf.e0c3b3cba42a736a6a31e79c1a420368.jpg", "expected": "241218", "predicted": "241218", "correct": true, "input_tokens": 1143, "output_tokens": 10, "elapsed_seconds": 2.2422905419953167, "metadata": {"question": "{\"question\": \"Read the six-digit code engraved on the metal surface. Return only the code as a string of digits, preserving leading zeros. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "831f5f18ad684937c6e45c87cb54e935e21c5054fe40efccbf512940b2d82fed", "category": "single_string", "subset": "f2a87f15a0d3eb96", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "4878d53dde2f6cdd4260dec9b1613ac20348e6dc5071ebbb59161e3815ba070e", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the six-digit code engraved on the metal surface. Return only the code as a string of digits, preserving leading zeros. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 2.2573}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 478, "image": "image_b4d360af746feeeb8f5b4cdd_jpg.rf.c5a1d5bb7969afc8e6a6264a86ddf605.jpg", "expected": "6:59", "predicted": "6:59", "correct": true, "input_tokens": 1193, "output_tokens": 8, "elapsed_seconds": 2.5216366249369457, "metadata": {"question": "{\"question\": \"Read the illuminated value in the largest numeric readout on this treadmill display. If equally large readouts are present, choose the topmost, then leftmost. Preserve leading zeros and visible decimal points or colons between digits. Ignore unlit segments, isolated indicator lights and smaller secondary readouts. Do not infer units or reformat the value as time. Return only the displayed value, or null if incomplete or unreadable. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "8edca63f8d2c24e2e2c3f15d63ec6a142fe2908422e73db26405255d8ab8b8aa", "category": "single_string", "subset": "6320a2ab21674c00", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "829b510e1dc1529c9f98059f52117e62cbc8b83c03740b3a768b65eafa421049", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the illuminated value in the largest numeric readout on this treadmill display. If equally large readouts are present, choose the topmost, then leftmost. Preserve leading zeros and visible decimal points or colons between digits. Ignore unlit segments, isolated indicator lights and smaller secondary readouts. Do not infer units or reformat the value as time. Return only the displayed value, or null if incomplete or unreadable. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 2.5321}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 479, "image": "image_a1426a5908abf1e420af2c61_jpg.rf.48c20982e692ccfb9e678d2dc7557014.jpg", "expected": "KA17AA6024", "predicted": "KA17AA6024", "correct": true, "input_tokens": 1196, "output_tokens": 12, "elapsed_seconds": 3.7241636669496074, "metadata": {"question": "{\"question\": \"Read the registration number on the largest visible vehicle license plate. Return only the registration number, reading multiple lines from top to bottom, omitting spaces and preserving letters, digits, leading zeros and hyphens. Exclude country labels, vehicle branding and video overlays. Return null if the complete registration number is unreadable. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "e6a988dee442710f3d35cb7e83c47ec233594beca2e916f9ed8f21027cc001e4", "category": "single_string", "subset": "d883528f51470f78", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "73fcb8049551df89ab0e251d85f3aad6153efa6dafcdd3868393e50402156f91", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the registration number on the largest visible vehicle license plate. Return only the registration number, reading multiple lines from top to bottom, omitting spaces and preserving letters, digits, leading zeros and hyphens. Exclude country labels, vehicle branding and video overlays. Return null if the complete registration number is unreadable. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 3.7757}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 480, "image": "image_aeb0fe692ea1cfb110d01da0_jpg.rf.2da219032b703d32bee48f4d868c85e2.jpg", "expected": "7072774", "predicted": "7072774", "correct": true, "input_tokens": 1122, "output_tokens": 11, "elapsed_seconds": 10.569153790944256, "metadata": {"question": "{\"question\": \"Read the cow ear tag number visible in this image. Return only the number as a string of digits. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "5aa6131c4ebdb7e47438285c4465dfc01f90beb0e8c8335d109bf6102b4120f6", "category": "single_string", "subset": "b3f38c6b63e6967c", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "d40f8607d91fcc4647fc3b116bed62634e3aa1d1b21adedefcbf3cd9f49cd95a", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the cow ear tag number visible in this image. Return only the number as a string of digits. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 10.6958}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 481, "image": "image_fe548642bd79ef4427a080d8_jpg.rf.a1041153091740aa89adadbe32a9de2a.jpg", "expected": "[{\"bbox\":[500,696,2090,1160],\"text\":\"HANDKRAFT\"},{\"bbox\":[775,1170,1834,1515],\"text\":\"SWEA\"}]", "predicted": "[{\"box_2d\": [368, 193, 608, 804], \"text\": \"HANDKRAFT\"}, {\"box_2d\": [602, 293, 777, 699], \"text\": \"SWEA\"}]", "correct": true, "input_tokens": 1296, "output_tokens": 71, "elapsed_seconds": 7.83433895802591, "metadata": {"question": "{\"question\": \"Locate and transcribe all text on the signs in this image.\", \"specification\": \"Use one box per word or standalone number, including curved words in a single box. Exclude text outside the signs and purely graphical symbols. Return plain text, not LaTeX.\\n\\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\", \"task\": \"localization_recognition\"}", "sample_id": "fb96286b16931c9007b3cac335940f0d0c9e9ef80cbd5813850a2a40a887e979", "category": "localization_recognition", "subset": "21363697af554f8e", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "0a12e57b165641089d1adaa84c64e24e005cccc92977477b81de9db7e38693ac", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe all text on the signs in this image.\n\nUse one box per word or standalone number, including curved words in a single box. Exclude text outside the signs and purely graphical symbols. Return plain text, not LaTeX.\n\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 1.0, "status": "ok", "format_compliant": true, "detection_f1": 1.0, "matched_regions": 2, "reference_regions": 2, "predicted_regions": 2, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 8.0153}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 482, "image": "image_ace3722855627f9de00332b0_jpg.rf.eab075d48e5c4fa79e742d2fa0424f49.jpg", "expected": "[{\"bbox\":[276,22,347,31],\"text\":\"SIXTEENTH EDITION\"},{\"bbox\":[64,56,188,69],\"text\":\"INTRODUCTION TO\"},{\"bbox\":[27,71,350,101],\"text\":\"Management Accounting\"},{\"bbox\":[70,136,341,151],\"text\":\"Horngren Sundem Burgstahler Schatzberg\"}]", "predicted": "[{\"box_2d\": [46, 728, 60, 916], \"text\": \"SIXTEENTH EDITION\"},\n{\"box_2d\": [114, 173, 134, 493], \"text\": \"INTRODUCTION TO\"},\n{\"box_2d\": [146, 74, 206, 916], \"text\": \"Management Accounting\"},\n{\"box_2d\": [274, 184, 300, 333], \"text\": \"Horngren\"},\n{\"box_2d\": [274, 360, 294, 491], \"text\": \"Sundem\"},\n{\"box_2d\": [274, 520, 298, 691], \"text\": \"Burgstahler\"},\n{\"box_2d\": [274, 716, 298, 895], \"text\": \"Schatzberg\"}]", "correct": false, "input_tokens": 1321, "output_tokens": 245, "elapsed_seconds": 4.319391000084579, "metadata": {"question": "{\"question\": \"Locate and transcribe all visible text on this book cover, including title, author, publisher and promotional text.\", \"specification\": \"Use one box per text line. Return plain text, not LaTeX.\\n\\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Do not include explanations or Markdown.\", \"task\": \"localization_recognition\"}", "sample_id": "7f55408f4920c839bb2beb2c979146973508ad960451ad3c3f538680b2adc1ea", "category": "localization_recognition", "subset": "658c0e5b4d5e48ce", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "33c1e0ed781f4f944b44d101f8d3439da6f6a55a1bd9372f7fce705ab3becacd", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe all visible text on this book cover, including title, author, publisher and promotional text.\n\nUse one box per text line. Return plain text, not LaTeX.\n\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Do not include explanations or Markdown.\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 0.5455, "status": "ok", "format_compliant": true, "detection_f1": 0.5454545454545454, "matched_regions": 3, "reference_regions": 4, "predicted_regions": 7, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 4.3336}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 483, "image": "image_ace3722855627f9de00332b0_jpg.rf.eab075d48e5c4fa79e742d2fa0424f49.jpg", "expected": "{\"title\":\"INTRODUCTION TO Management Accounting\",\"author\":\"Horngren Sundem Burgstahler Schatzberg\",\"publisher\":null}", "predicted": "{\n \"title\": \"INTRODUCTION TO Management Accounting\",\n \"author\": \"Horngren Sundem Burgstahler Schatzberg\",\n \"publisher\": null\n}", "correct": true, "input_tokens": 1311, "output_tokens": 42, "elapsed_seconds": 3.505026333965361, "metadata": {"question": "{\"question\": \"Extract the information printed on this book cover. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"title\\\": null,\\n \\\"author\\\": null,\\n \\\"publisher\\\": null\\n}\\n\\nInclude the subtitle in title, but exclude series names, endorsements and promotional badges. Include only the book\u2019s authors in author, preserving their printed order and separators; exclude foreword or introduction contributors. Use visible publisher text only; do not identify a symbol-only logo.\\n\\nExclude edition/volume labels from title and editors from author. Join title and subtitle with a space; do not add punctuation.\\n\\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "e6b48c307ec40c6d78e87b1d3d19d12459287e5f51d9cf5a5cc79780f4354d8a", "category": "structured", "subset": "3d7fadf0660f8706", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "33c1e0ed781f4f944b44d101f8d3439da6f6a55a1bd9372f7fce705ab3becacd", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on this book cover. Return only a valid JSON object with these fields:\n\n{\n \"title\": null,\n \"author\": null,\n \"publisher\": null\n}\n\nInclude the subtitle in title, but exclude series names, endorsements and promotional badges. Include only the book\u2019s authors in author, preserving their printed order and separators; exclude foreword or introduction contributors. Use visible publisher text only; do not identify a symbol-only logo.\n\nExclude edition/volume labels from title and editors from author. Join title and subtitle with a space; do not add punctuation.\n\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 3, "reference_fields": 3, "predicted_fields": 3, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 3.5162}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 484, "image": "image_c9377a3576e2705c6892079f_jpg.rf.3a00869abfc87811191c9655fc2d604e.jpg", "expected": "{\"application_id\":\"54APID2306541\",\"application_date\":\"10032016\",\"product_type\":\"Home Equity\",\"tenure_months\":\"150\",\"loan_amount\":\"2050000\",\"applicant_name\":\"NANDAMURI TARAKA RAMA RAO\",\"birth_date\":\"16051984\",\"current_address\":\"RAKUTEN SYMPHONY KADUBEESINA HALLI FLAT NO 305 FLOOR NO 3 BANGALORE 560103\",\"current_city\":\"BANGALORE\",\"current_state\":\"KARNATAKA\",\"current_postal_code\":\"560105\",\"current_mobile\":\"9703468142\",\"pan_number\":\"LIYPL0882S\"}", "predicted": "{\n \"application_id\": \"54APID2306541\",\n \"application_date\": \"10032016\",\n \"product_type\": \"Home Equity\",\n \"tenure_months\": \"150\",\n \"loan_amount\": \"2050000\",\n \"applicant_name\": \"NANDAMURI TARAKA RAMA RAO\",\n \"birth_date\": \"16051984\",\n \"current_address\": \"RAKUTEN SYMPHONY KADUBEESINA HALLI FLAT NO 305 FLOOR NO 3 BANGALORE 560103\",\n \"current_city\": \"BANGALORE\",\n \"current_state\": \"KARNATAKA\",\n \"current_postal_code\": \"560105\",\n \"current_mobile\": \"9903468142\",\n \"pan_number\": \"LTYPK08882S\"\n}", "correct": false, "input_tokens": 1432, "output_tokens": 238, "elapsed_seconds": 7.2049615000141785, "metadata": {"question": "{\"question\": \"Extract the completed applicant and loan fields from this loan application. Return only a valid JSON object with this structure:\\n\\n{\\n \\\"application_id\\\": null,\\n \\\"application_date\\\": null,\\n \\\"product_type\\\": null,\\n \\\"tenure_months\\\": null,\\n \\\"loan_amount\\\": null,\\n \\\"applicant_name\\\": null,\\n \\\"birth_date\\\": null,\\n \\\"current_address\\\": null,\\n \\\"current_city\\\": null,\\n \\\"current_state\\\": null,\\n \\\"current_postal_code\\\": null,\\n \\\"current_mobile\\\": null,\\n \\\"pan_number\\\": null\\n}\\n\\nUse Application ID No., not Application Form No. Read the current address, not the permanent address. Remove spaces between character boxes in identifiers and numbers; retain word spaces in names and addresses. For product_type, copy the single checked option; use null if none or several are selected. Transcribe date-box contents as written without inventing separators, even if malformed. Keep leading zeros in numbers.\\n\\nPreserve spelling, capitalization and punctuation; join line breaks within a field with spaces. Do not infer, correct or translate. Ignore filler dashes in unused boxes. For current_address, include only Current Residence Address lines, excluding the separately labelled landmark, city, state and postal-code fields. Use strings for values and null for missing or unreadable fields. Include every key. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "51d391b3b41f6387a50d512510a1115e46b55126ec9cdd41d8408d95167d66a7", "category": "structured", "subset": "320cb142e1839899", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "77271ffb839aa5629d561105b4ed889003be16bff765ca16e4755543da774d31", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the completed applicant and loan fields from this loan application. Return only a valid JSON object with this structure:\n\n{\n \"application_id\": null,\n \"application_date\": null,\n \"product_type\": null,\n \"tenure_months\": null,\n \"loan_amount\": null,\n \"applicant_name\": null,\n \"birth_date\": null,\n \"current_address\": null,\n \"current_city\": null,\n \"current_state\": null,\n \"current_postal_code\": null,\n \"current_mobile\": null,\n \"pan_number\": null\n}\n\nUse Application ID No., not Application Form No. Read the current address, not the permanent address. Remove spaces between character boxes in identifiers and numbers; retain word spaces in names and addresses. For product_type, copy the single checked option; use null if none or several are selected. Transcribe date-box contents as written without inventing separators, even if malformed. Keep leading zeros in numbers.\n\nPreserve spelling, capitalization and punctuation; join line breaks within a field with spaces. Do not infer, correct or translate. Ignore filler dashes in unused boxes. For current_address, include only Current Residence Address lines, excluding the separately labelled landmark, city, state and postal-code fields. Use strings for values and null for missing or unreadable fields. Include every key. Do not include explanations or Markdown.", "match_method": "structured", "score": 0.8462, "status": "ok", "format_compliant": true, "matched_fields": 11, "reference_fields": 13, "predicted_fields": 13, "non_null_field_accuracy": 0.8461538461538461, "object_exact_match": false, "attempts": 1, "retries": 0, "total_seconds": 7.2428}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 485, "image": "image_7defc203447a04d620ea3f9e_jpg.rf.534dddb14a40ee7aeb449d033de391d3.jpg", "expected": "00820", "predicted": "00820", "correct": true, "input_tokens": 1146, "output_tokens": 9, "elapsed_seconds": 3.1186651249881834, "metadata": {"question": "{\"question\": \"Read the electricity meter reading visible in this image. Return only the reading as a string of digits. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "426ae7e534a05580d4748d66cc724d9f5e7c4256f7574890d689c6cfca892202", "category": "single_string", "subset": "3a0d0e0892a8fc95", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "5ac99ee0fcd0879321bf54e11ab48fa1dac22a7b4bacfa38c4cfa42f166dbe14", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the electricity meter reading visible in this image. Return only the reading as a string of digits. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 3.2126}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 486, "image": "image_de4aec19f863fe3ededf94f4_jpg.rf.8759792acb183defc976e1ee8332b374.jpg", "expected": "{\"validity_period\":\"dal 28 novembre all'11 dicembre 2024\",\"offers\":[{\"product_name\":\"SPEZZATINO DI BOVINO ADULTO\",\"price\":\"8,49\",\"price_basis\":\"/kg\"},{\"product_name\":\"HAMBURGER DI SCOTTONA\",\"price\":\"2,19\",\"price_basis\":\"/pz\"},{\"product_name\":\"BRACIOLE DI COPPA DI SUINO\",\"price\":\"6,49\",\"price_basis\":\"/kg\"},{\"product_name\":\"FUSI E SOVRACOSCE DI POLLO\",\"price\":\"3,99\",\"price_basis\":\"/kg\"},{\"product_name\":\"STRACCETTI DI POLLO\",\"price\":\"7,99\",\"price_basis\":\"/kg\"},{\"product_name\":\"CORDON BLEU DI POLLO E TACCHINO\",\"price\":\"1,99\",\"price_basis\":\"/pz\"},{\"product_name\":\"TRECCIA PUGLIESE\",\"price\":\"9,99\",\"price_basis\":\"/kg\"},{\"product_name\":\"BOCCONCINI DI LATTE DI BUFALA\",\"price\":\"2,99\",\"price_basis\":\"/pz\"},{\"product_name\":\"TARALLUCCI ALLE RAPE\",\"price\":\"1,79\",\"price_basis\":\"/pz\"}]}", "predicted": "{\"validity_period\": \"dal 28 novembre all'11 dicembre 2024\", \"offers\": [{\"product_name\": \"SPEZZATINO DI BOVINO ADULTO\", \"price\": \"8,49\", \"price_basis\": \"/kg\"}, {\"product_name\": \"HAMBURGER DI SCOTTONA\", \"price\": \"2,19\", \"price_basis\": \"/pz\"}, {\"product_name\": \"BRACIOLE DI COPPA DI SUINO\", \"price\": \"6,49\", \"price_basis\": \"/kg\"}, {\"product_name\": \"FUSI E SOVRACOSCE DI POLLO\", \"price\": \"3,99\", \"price_basis\": \"/kg\"}, {\"product_name\": \"STRACCETTI DI POLLO\", \"price\": \"7,99\", \"price_basis\": \"/kg\"}, {\"product_name\": \"CORDON BLEU DI POLLO E TACCHINO\", \"price\": \"1,99\", \"price_basis\": \"/pz\"}, {\"product_name\": \"TRECCIA PUGLIESE\", \"price\": \"9,99\", \"price_basis\": \"/kg\"}, {\"product_name\": \"BOCCONCINI DI LATTE DI BUFALA\", \"price\": \"2,99\", \"price_basis\": \"/pz\"}, {\"product_name\": \"TARALLUCCI ALLE RAPE\", \"price\": \"1,79\", \"price_basis\": \"/pz\"}]}", "correct": true, "input_tokens": 1416, "output_tokens": 326, "elapsed_seconds": 5.368153708055615, "metadata": {"question": "{\"question\": \"Extract the information printed on this retail leaflet page. Return only a valid JSON object with this structure:\\n\\n{\\n \\\"validity_period\\\": null,\\n \\\"offers\\\": [\\n {\\n \\\"product_name\\\": null,\\n \\\"price\\\": null,\\n \\\"price_basis\\\": null\\n }\\n ]\\n}\\n\\nReturn product blocks in visual rows, left-to-right. Use the printed product description, excluding variant lists and text only on pictured packaging. Include a separately printed brand above the description only if not already named there.\\n\\nUse the prominent advertised price, not previous or comparison prices. Join raised cents with a decimal comma; place any printed currency after the amount with one space (e.g., \u20ac4\u2079\u2079 \u2192 4,99 \u20ac). Do not infer currency or calculate prices. Keep ply counts in product_name. Put the selling basis in price_basis (al kg \u2192 /kg, al pz \u2192 /pz, confezione \u2192 confezione).\\n\\nUse only page-wide validity dates, without weekdays; an end-only date is allowed. Exclude unrestricted marketing slogans. Discount-only offers have price:null.\\n\\nPreserve text as printed, joining line breaks within a field with spaces. Do not infer missing information or translate. Include every key. Use strings for extracted values and null for missing or unreadable values; retain arrays as arrays. Return empty arrays when there are no entries. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "483ab4c5a54a910733de66df0d555c43949388d3502e3726219a7b21953c7fda", "category": "structured", "subset": "660e48d305d84282", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "15da93a437edab236026e5afe3eb93d7acde696168aa51bc1cbb2c6aa44f20b3", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on this retail leaflet page. Return only a valid JSON object with this structure:\n\n{\n \"validity_period\": null,\n \"offers\": [\n {\n \"product_name\": null,\n \"price\": null,\n \"price_basis\": null\n }\n ]\n}\n\nReturn product blocks in visual rows, left-to-right. Use the printed product description, excluding variant lists and text only on pictured packaging. Include a separately printed brand above the description only if not already named there.\n\nUse the prominent advertised price, not previous or comparison prices. Join raised cents with a decimal comma; place any printed currency after the amount with one space (e.g., \u20ac4\u2079\u2079 \u2192 4,99 \u20ac). Do not infer currency or calculate prices. Keep ply counts in product_name. Put the selling basis in price_basis (al kg \u2192 /kg, al pz \u2192 /pz, confezione \u2192 confezione).\n\nUse only page-wide validity dates, without weekdays; an end-only date is allowed. Exclude unrestricted marketing slogans. Discount-only offers have price:null.\n\nPreserve text as printed, joining line breaks within a field with spaces. Do not infer missing information or translate. Include every key. Use strings for extracted values and null for missing or unreadable values; retain arrays as arrays. Return empty arrays when there are no entries. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 28, "reference_fields": 28, "predicted_fields": 28, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 5.4521}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 487, "image": "image_75d11db84826dbc025f12e85_jpg.rf.5397d161dbff9a5b58ddc8c8a5d864fb.jpg", "expected": "{\"client_number\":\"TN13482787\",\"account_number\":\"147166772300\",\"branch_name\":\"Agence Ennkhilet\",\"surname\":\"Jrad\",\"given_name\":\"Amine\",\"sex\":\"Masculin\",\"birth_date\":\"17/08/1997\",\"birth_city\":\"Gabes\",\"birth_country\":\"Tunisie\",\"identity_document_type\":\"Passport\",\"identity_document_number\":\"TR816230\",\"nationality\":\"Tunisienne\",\"marital_status\":\"C\u00e9libataire\",\"mailing_address\":\"Rue Bilel, Apt 15\",\"postal_code\":\"4100\",\"city\":\"Tunis\",\"country\":\"Tunisie\",\"phone\":\"+21623778919\",\"email\":\"Jrad.Amine@gmail.com\",\"profession\":\"M\u00e9decin\",\"net_monthly_income\":\"3000 TND\",\"employer_category\":\"Secteur public\",\"account_type\":\"compte courant\"}", "predicted": "{\n \"client_number\": \"TN13482787\",\n \"account_number\": \"147166772300\",\n \"branch_name\": \"Agence Ennkhilet\",\n \"surname\": \"Jrad\",\n \"given_name\": \"Amine\",\n \"sex\": \"Masculin\",\n \"birth_date\": \"17/08/1997\",\n \"birth_city\": \"Gabes\",\n \"birth_country\": \"Tunisie\",\n \"identity_document_type\": \"Passport\",\n \"identity_document_number\": \"TR816230\",\n \"nationality\": \"Tunisienne\",\n \"marital_status\": \"C\u00e9libataire\",\n \"mailing_address\": \"Rue Bilel, Apt 15\",\n \"postal_code\": \"4100\",\n \"city\": \"Tunis\",\n \"country\": \"Tunisie\",\n \"phone\": \"+21623778919\",\n \"email\": \"Jrad.Amine@gmail.com\",\n \"profession\": \"M\u00e9decin\",\n \"net_monthly_income\": \"3000 TND\",\n \"employer_category\": \"Secteur public\",\n \"account_type\": \"compte courant\"\n}", "correct": true, "input_tokens": 1479, "output_tokens": 316, "elapsed_seconds": 4.964057250064798, "metadata": {"question": "{\"question\": \"Extract the completed customer and account fields from this form. Return only a valid JSON object with this structure:\\n\\n{\\n \\\"client_number\\\": null,\\n \\\"account_number\\\": null,\\n \\\"branch_name\\\": null,\\n \\\"surname\\\": null,\\n \\\"given_name\\\": null,\\n \\\"sex\\\": null,\\n \\\"birth_date\\\": null,\\n \\\"birth_city\\\": null,\\n \\\"birth_country\\\": null,\\n \\\"identity_document_type\\\": null,\\n \\\"identity_document_number\\\": null,\\n \\\"nationality\\\": null,\\n \\\"marital_status\\\": null,\\n \\\"mailing_address\\\": null,\\n \\\"postal_code\\\": null,\\n \\\"city\\\": null,\\n \\\"country\\\": null,\\n \\\"phone\\\": null,\\n \\\"email\\\": null,\\n \\\"profession\\\": null,\\n \\\"net_monthly_income\\\": null,\\n \\\"employer_category\\\": null,\\n \\\"account_type\\\": null\\n}\\n\\nUse customer entries, not printed labels or signatures. Mailing city/country belong to the address, not birthplace. Remove spaces from client, account, identity and telephone numbers; retain other punctuation and leading zeros. Keep dates and income, including any written currency, as written.\\n\\nIgnore crossed-out text when a replacement is visible. Assign misplaced entries by their explicit meaning, not by the adjacent blank; otherwise use the labelled field. Preserve handwritten spelling and abbreviations, including apparent mistakes.\\n\\nPreserve the text as written; join line breaks within a field with spaces. Do not infer missing information or translate. Use strings for extracted values and null for missing or unreadable fields. Include every key. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "b873d8344d68c362b62f95a3f242dc1a06e401e10322b526568c545a87a72f8e", "category": "structured", "subset": "cc71eb86fa5bf20e", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "473cd87efcb67824c4f9d33e93d201fb0eb44aa3e228da5da2d0a5dd59ab4300", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the completed customer and account fields from this form. Return only a valid JSON object with this structure:\n\n{\n \"client_number\": null,\n \"account_number\": null,\n \"branch_name\": null,\n \"surname\": null,\n \"given_name\": null,\n \"sex\": null,\n \"birth_date\": null,\n \"birth_city\": null,\n \"birth_country\": null,\n \"identity_document_type\": null,\n \"identity_document_number\": null,\n \"nationality\": null,\n \"marital_status\": null,\n \"mailing_address\": null,\n \"postal_code\": null,\n \"city\": null,\n \"country\": null,\n \"phone\": null,\n \"email\": null,\n \"profession\": null,\n \"net_monthly_income\": null,\n \"employer_category\": null,\n \"account_type\": null\n}\n\nUse customer entries, not printed labels or signatures. Mailing city/country belong to the address, not birthplace. Remove spaces from client, account, identity and telephone numbers; retain other punctuation and leading zeros. Keep dates and income, including any written currency, as written.\n\nIgnore crossed-out text when a replacement is visible. Assign misplaced entries by their explicit meaning, not by the adjacent blank; otherwise use the labelled field. Preserve handwritten spelling and abbreviations, including apparent mistakes.\n\nPreserve the text as written; join line breaks within a field with spaces. Do not infer missing information or translate. Use strings for extracted values and null for missing or unreadable fields. Include every key. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 23, "reference_fields": 23, "predicted_fields": 23, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 5.0359}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 488, "image": "image_c27673a970acc7e79a77026b_jpg.rf.375ef97cc809c4603acc58da066ab083.jpg", "expected": "{\"merchant\":\"Store-SSG Tower\",\"receipt_number\":null,\"date\":\"11/18/2016\",\"time\":\"08:25\",\"currency\":null,\"items\":[{\"description\":\"ICED CAFFE LATTE T\",\"quantity\":\"1.0000\",\"unit_price\":null,\"line_total\":\"70,000\"},{\"description\":\". EXTRA VANILA SYRUP\",\"quantity\":\"1.0000\",\"unit_price\":null,\"line_total\":\"10,000\"}],\"subtotal\":\"72,727\",\"discount\":null,\"tax\":\"7,273\",\"total\":\"80,000\"}", "predicted": "{\"merchant\":\"Store-SSG Tower\",\"receipt_number\":null,\"date\":\"11/18/2016\",\"time\":\"08:25\",\"currency\":null,\"items\":[{\"description\":\"ICED CAFFE LATTE T\",\"quantity\":\"1.0000\",\"unit_price\":null,\"line_total\":\"70,000\"},{\"description\":\". EXTRA VANILA SYRUP\",\"quantity\":\"1.0000\",\"unit_price\":null,\"line_total\":\"10,000\"}],\"subtotal\":\"72,727\",\"discount\":null,\"tax\":\"7,273\",\"total\":\"80,000\"}", "correct": true, "input_tokens": 1412, "output_tokens": 147, "elapsed_seconds": 4.095143833081238, "metadata": {"question": "{\"question\": \"Extract the transaction and purchased items from this receipt. Return only a valid JSON object with these fields:\\n\\n{\\\"merchant\\\":null,\\\"receipt_number\\\":null,\\\"date\\\":null,\\\"time\\\":null,\\\"currency\\\":null,\\\"items\\\":[{\\\"description\\\":null,\\\"quantity\\\":null,\\\"unit_price\\\":null,\\\"line_total\\\":null}],\\\"subtotal\\\":null,\\\"discount\\\":null,\\\"tax\\\":null,\\\"total\\\":null}\\n\\nMerchant: printed header company/business name, otherwise store/branch name; never infer from logos or websites. Receipt number: prefer Bill/Invoice/Receipt, then Check/CHK, then transaction/order ID; exclude terminal, table, payment and unlabeled barcode numbers. Use transaction date/time, retaining printed separators and AM/PM.\\n\\nItems: one row per priced purchase/add-on; append unpriced product modifiers to its description. Exclude promotion, discount, tax and payment lines. Copy unit_price only from a separate printed unit-price field; a lone amount is line_total. Preserve item order.\\n\\nTotal: primary final sale amount, not alternate-currency conversion, payment, change or balance. Currency must explicitly apply to that primary amount. Subtotal, discount and tax: printed receipt-wide summary amounts only, not item-level adjustments or percentages. Do not calculate. Omit currency from amount strings; preserve signs and separators.\\n\\nPreserve other text and capitalization; join field line breaks with spaces. Use strings, null for missing/unreadable fields, and [] for no items. Include every key. Do not infer missing text, translate or add explanations/Markdown.\", \"task\": \"structured\"}", "sample_id": "6c24e88ec59b1e24d04b4789392ecae3ae1793b36726cf88da5ea194e64fdce4", "category": "structured", "subset": "a703300632cb4e39", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "1ff123ae86ae91411d4b866585262bfdc2c669e86245898a8d2b2a7b19bd6bd5", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the transaction and purchased items from this receipt. Return only a valid JSON object with these fields:\n\n{\"merchant\":null,\"receipt_number\":null,\"date\":null,\"time\":null,\"currency\":null,\"items\":[{\"description\":null,\"quantity\":null,\"unit_price\":null,\"line_total\":null}],\"subtotal\":null,\"discount\":null,\"tax\":null,\"total\":null}\n\nMerchant: printed header company/business name, otherwise store/branch name; never infer from logos or websites. Receipt number: prefer Bill/Invoice/Receipt, then Check/CHK, then transaction/order ID; exclude terminal, table, payment and unlabeled barcode numbers. Use transaction date/time, retaining printed separators and AM/PM.\n\nItems: one row per priced purchase/add-on; append unpriced product modifiers to its description. Exclude promotion, discount, tax and payment lines. Copy unit_price only from a separate printed unit-price field; a lone amount is line_total. Preserve item order.\n\nTotal: primary final sale amount, not alternate-currency conversion, payment, change or balance. Currency must explicitly apply to that primary amount. Subtotal, discount and tax: printed receipt-wide summary amounts only, not item-level adjustments or percentages. Do not calculate. Omit currency from amount strings; preserve signs and separators.\n\nPreserve other text and capitalization; join field line breaks with spaces. Use strings, null for missing/unreadable fields, and [] for no items. Include every key. Do not infer missing text, translate or add explanations/Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 17, "reference_fields": 17, "predicted_fields": 17, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 4.1155}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 489, "image": "image_7e838f65b0f908bc5e94e2d4_jpg.rf.bf64ebb2ea392034e487eb906200c0f0.jpg", "expected": "8803888", "predicted": "88 03888", "correct": false, "input_tokens": 1144, "output_tokens": 12, "elapsed_seconds": 8.758304917020723, "metadata": {"question": "{\"question\": \"Read the identification code on the utility pole tag. Return only the code, joining vertically stacked characters without spaces and preserving leading zeros and hyphens. Exclude labels such as POLE NO., timestamps and GPS/address overlays. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "63fe0d4a75e2302a5f6c7da91c97ca7e75ccdddfb7e903b7c6db58b3f80b2a24", "category": "single_string", "subset": "cd97317d8ff518ba", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "43530d64325f81af788afb0006b7a85cfe3f64d3773c9ba4918c6baeb1f994b6", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the identification code on the utility pole tag. Return only the code, joining vertically stacked characters without spaces and preserving leading zeros and hyphens. Exclude labels such as POLE NO., timestamps and GPS/address overlays. Do not explain.", "match_method": "single_string", "score": 0.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 9.1786}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 490, "image": "image_ef6d8da449199113c436dcbe_jpg.rf.0948da853c5f0930fa95237dae3d0a67.jpg", "expected": "[{\"bbox\":[0,6,11,25],\"text\":\"2\"},{\"bbox\":[0,31,12,51],\"text\":\"1\"},{\"bbox\":[41,51,56,93],\"text\":\"CN5\"},{\"bbox\":[226,51,261,70],\"text\":\"CNB\"},{\"bbox\":[374,53,393,64],\"text\":\"R3\"},{\"bbox\":[552,57,563,84],\"text\":\"SW3\"},{\"bbox\":[460,58,473,88],\"text\":\"SW2\"},{\"bbox\":[166,66,197,82],\"text\":\"C13\"},{\"bbox\":[108,67,143,104],\"text\":\"150 CFK 0C7\"},{\"bbox\":[417,75,445,88],\"text\":\"RM6\"},{\"bbox\":[251,76,270,91],\"text\":\"C8\"},{\"bbox\":[309,76,357,112],\"text\":\"CX104BB 30.000M TCY1151\"},{\"bbox\":[373,81,400,94],\"text\":\"R38\"},{\"bbox\":[424,96,438,107],\"text\":\"102\"},{\"bbox\":[81,101,102,119],\"text\":\"C9\"},{\"bbox\":[182,105,202,121],\"text\":\"C5\"},{\"bbox\":[373,109,399,122],\"text\":\"R34\"},{\"bbox\":[218,118,242,133],\"text\":\"EM1\"},{\"bbox\":[653,118,720,134],\"text\":\"MR2A16A\"},{\"bbox\":[423,128,462,142],\"text\":\"FPGA\"},{\"bbox\":[321,131,352,143],\"text\":\"U22\"},{\"bbox\":[746,145,759,176],\"text\":\"U23\"},{\"bbox\":[246,149,255,172],\"text\":\"TP1\"},{\"bbox\":[551,149,563,176],\"text\":\"R25\"},{\"bbox\":[507,150,518,177],\"text\":\"R26\"},{\"bbox\":[769,166,787,178],\"text\":\"1\"},{\"bbox\":[57,168,85,186],\"text\":\"JP2\"},{\"bbox\":[35,169,58,185],\"text\":\"JP1\"},{\"bbox\":[236,175,249,194],\"text\":\"C6\"},{\"bbox\":[549,181,567,194],\"text\":\"L9\"},{\"bbox\":[343,182,452,318],\"text\":null},{\"bbox\":[106,192,177,228],\"text\":\"EN5335QI E01MD U140\"},{\"bbox\":[5,194,39,206],\"text\":\"TPG1\"},{\"bbox\":[552,194,581,204],\"text\":\"[DN]\"},{\"bbox\":[662,197,673,220],\"text\":\"RM1\"},{\"bbox\":[230,201,240,221],\"text\":\"C4\"},{\"bbox\":[639,202,650,220],\"text\":\"U3\"},{\"bbox\":[688,203,702,212],\"text\":\"102\"},{\"bbox\":[1,204,42,216],\"text\":\"[GND]\"},{\"bbox\":[525,215,544,228],\"text\":\"Q1\"},{\"bbox\":[507,219,518,246],\"text\":\"R19\"},{\"bbox\":[237,221,249,241],\"text\":\"C7\"},{\"bbox\":[36,224,48,245],\"text\":\"C3\"},{\"bbox\":[640,225,652,245],\"text\":\"U4\"},{\"bbox\":[690,227,717,241],\"text\":\"R20\"},{\"bbox\":[582,228,593,257],\"text\":\"CN2\"},{\"bbox\":[749,232,763,284],\"text\":\"[JTAG]\"},{\"bbox\":[93,238,108,251],\"text\":\"U1\"},{\"bbox\":[68,245,82,268],\"text\":\"R16\"},{\"bbox\":[187,245,199,274],\"text\":\"EM2\"},{\"bbox\":[688,245,718,259],\"text\":\"R23\"},{\"bbox\":[507,246,519,264],\"text\":\"U5\"},{\"bbox\":[118,249,130,274],\"text\":\"C16\"},{\"bbox\":[86,258,94,276],\"text\":\"P2\"},{\"bbox\":[94,258,105,275],\"text\":\"P1\"},{\"bbox\":[639,258,668,272],\"text\":\"RM3\"},{\"bbox\":[691,262,716,273],\"text\":\"R21\"},{\"bbox\":[609,268,622,277],\"text\":\"472\"},{\"bbox\":[69,270,85,279],\"text\":\"L8\"},{\"bbox\":[690,274,718,290],\"text\":\"R22\"},{\"bbox\":[521,277,537,290],\"text\":\"R1\"},{\"bbox\":[55,280,83,292],\"text\":\"[PW]\"},{\"bbox\":[232,285,246,311],\"text\":\"C15\"},{\"bbox\":[7,288,35,297],\"text\":\"CN4\"},{\"bbox\":[570,288,594,302],\"text\":\"R11\"},{\"bbox\":[750,293,761,321],\"text\":\"CN3\"},{\"bbox\":[525,296,536,316],\"text\":\"R6\"},{\"bbox\":[569,306,595,318],\"text\":\"R10\"},{\"bbox\":[105,308,176,344],\"text\":\"EN5335QI E01MD U140\"},{\"bbox\":[7,309,17,335],\"text\":\"C11\"},{\"bbox\":[239,313,251,339],\"text\":\"C17\"},{\"bbox\":[571,321,592,333],\"text\":\"R9\"},{\"bbox\":[645,328,729,365],\"text\":null},{\"bbox\":[84,334,94,359],\"text\":\"C14\"},{\"bbox\":[572,337,588,349],\"text\":\"R8\"},{\"bbox\":[594,338,618,351],\"text\":\"SW1\"},{\"bbox\":[525,343,537,362],\"text\":\"R7\"},{\"bbox\":[742,346,756,364],\"text\":\"U7\"},{\"bbox\":[219,352,232,361],\"text\":\"102\"},{\"bbox\":[770,352,787,363],\"text\":\"7\"},{\"bbox\":[98,357,118,372],\"text\":\"U2\"},{\"bbox\":[319,358,348,370],\"text\":\"U21\"},{\"bbox\":[164,360,176,378],\"text\":\"P3\"},{\"bbox\":[9,361,18,380],\"text\":\"D1\"},{\"bbox\":[248,361,276,374],\"text\":\"RM4\"},{\"bbox\":[375,362,402,374],\"text\":\"R37\"},{\"bbox\":[754,365,764,404],\"text\":\"[GND]\"},{\"bbox\":[740,367,752,404],\"text\":\"TPG2\"},{\"bbox\":[66,368,86,383],\"text\":\"P4\"},{\"bbox\":[33,369,45,390],\"text\":null},{\"bbox\":[487,370,501,395],\"text\":\"RC1\"},{\"bbox\":[575,375,587,384],\"text\":null},{\"bbox\":[587,375,598,385],\"text\":null},{\"bbox\":[611,376,620,385],\"text\":null},{\"bbox\":[601,377,611,383],\"text\":null},{\"bbox\":[311,386,358,419],\"text\":\"CX104BB 50.000M TCY1121\"},{\"bbox\":[377,389,395,403],\"text\":\"R2\"},{\"bbox\":[424,393,438,402],\"text\":\"102\"},{\"bbox\":[106,398,138,434],\"text\":\"150 CFK 0C7\"},{\"bbox\":[41,404,57,433],\"text\":\"CN1\"},{\"bbox\":[527,412,555,426],\"text\":\"RM2\"},{\"bbox\":[574,412,586,420],\"text\":\"1\"},{\"bbox\":[598,412,610,421],\"text\":\"3\"},{\"bbox\":[587,413,598,421],\"text\":\"2\"},{\"bbox\":[610,413,623,421],\"text\":\"4\"},{\"bbox\":[645,413,741,444],\"text\":\"HUMANDATA XCM-019B\"},{\"bbox\":[415,414,446,430],\"text\":\"RM5\"},{\"bbox\":[195,416,209,437],\"text\":\"L6\"},{\"bbox\":[209,416,221,439],\"text\":\"L5\"},{\"bbox\":[236,416,248,436],\"text\":\"L3\"},{\"bbox\":[249,416,263,436],\"text\":\"L2\"},{\"bbox\":[278,416,291,437],\"text\":\"L0\"},{\"bbox\":[179,417,193,436],\"text\":\"L7\"},{\"bbox\":[223,417,234,437],\"text\":\"L4\"},{\"bbox\":[264,418,276,436],\"text\":\"L1\"},{\"bbox\":[375,418,399,431],\"text\":\"R33\"},{\"bbox\":[84,420,98,436],\"text\":\"C1\"},{\"bbox\":[464,431,500,448],\"text\":\"CNA\"},{\"bbox\":[753,436,775,448],\"text\":\"66\"},{\"bbox\":[0,456,14,473],\"text\":\"2\"},{\"bbox\":[1,479,15,501],\"text\":\"1\"}]", "predicted": "[\n {\"box_2d\": [22, 4, 48, 12], \"text\": \"2\"},\n {\"box_2d\": [66, 5, 92, 11], \"text\": \"1\"},\n {\"box_2d\": [62, 956, 88, 962], \"text\": null},\n {\"box_2d\": [108, 468, 130, 488], \"text\": \"R3\"},\n {\"box_2d\": [112, 286, 136, 326], \"text\": \"CNB\"},\n {\"box_2d\": [110, 54, 160, 69], \"text\": \"CN5\"},\n {\"box_2d\": [114, 692, 166, 705], \"text\": \"SW3\"},\n {\"box_2d\": [116, 578, 168, 591], \"text\": \"SW2\"},\n {\"box_2d\": [134, 212, 160, 240], \"text\": \"C13\"},\n {\"box_2d\": [154, 524, 174, 558], \"text\": \"RM6\"},\n {\"box_2d\": [160, 315, 180, 336], \"text\": \"C8\"},\n {\"box_2d\": [162, 469, 186, 498], \"text\": \"R38\"},\n {\"box_2d\": [144, 141, 206, 174], \"text\": \"150 CFK. 0C7\"},\n {\"box_2d\": [158, 389, 220, 446], \"text\": \"CX104BB 30.000M TCY1151\"},\n {\"box_2d\": [210, 105, 236, 128], \"text\": \"C9\"},\n {\"box_2d\": [198, 535, 206, 545], \"text\": \"102\"},\n {\"box_2d\": [218, 229, 240, 251], \"text\": \"C5\"},\n {\"box_2d\": [222, 469, 246, 500], \"text\": \"R34\"},\n {\"box_2d\": [240, 274, 264, 300], \"text\": \"EM1\"},\n {\"box_2d\": [242, 822, 266, 895], \"text\": \"MR2A16A\"},\n {\"box_2d\": [260, 406, 282, 439], \"text\": \"U22\"},\n {\"box_2d\": [260, 532, 282, 574], \"text\": \"FPGA\"},\n {\"box_2d\": [294, 311, 338, 322], \"text\": \"TP1\"},\n {\"box_2d\": [300, 636, 354, 650], \"text\": \"R26\"},\n {\"box_2d\": [300, 690, 354, 704], \"text\": \"R25\"},\n {\"box_2d\": [298, 935, 348, 949], \"text\": \"U23\"},\n {\"box_2d\": [340, 45, 366, 70], \"text\": \"JP1\"},\n {\"box_2d\": [340, 75, 366, 108], \"text\": \"JP2\"},\n {\"box_2d\": [336, 970, 354, 976], \"text\": \"1\"},\n {\"box_2d\": [346, 296, 386, 310], \"text\": \"C6\"},\n {\"box_2d\": [388, 12, 428, 46], \"text\": \"TPG1 [GND]\"},\n {\"box_2d\": [364, 691, 408, 725], \"text\": \"L9 [DN]\"},\n {\"box_2d\": [400, 288, 440, 301], \"text\": \"C4\"},\n {\"box_2d\": [392, 138, 450, 220], \"text\": \"EN5335QI E01MD U140\"},\n {\"box_2d\": [392, 830, 438, 842], \"text\": \"RM1\"},\n {\"box_2d\": [404, 799, 440, 811], \"text\": \"U3\"},\n {\"box_2d\": [410, 865, 422, 879], \"text\": \"102\"},\n {\"box_2d\": [428, 661, 456, 675], \"text\": \"Q1\"},\n {\"box_2d\": [446, 299, 480, 312], \"text\": \"C7\"},\n {\"box_2d\": [450, 47, 488, 61], \"text\": \"C3\"},\n {\"box_2d\": [454, 799, 484, 811], \"text\": \"U4\"},\n {\"box_2d\": [460, 868, 480, 899], \"text\": \"R20\"},\n {\"box_2d\": [472, 118, 502, 131], \"text\": \"U1\"},\n {\"box_2d\": [464, 728, 514, 740], \"text\": \"CN2\"},\n {\"box_2d\": [438, 636, 526, 650], \"text\": \"U5 R19\"},\n {\"box_2d\": [494, 866, 514, 898], \"text\": \"R23\"},\n {\"box_2d\": [490, 90, 536, 102], \"text\": \"R16\"},\n {\"box_2d\": [504, 148, 548, 161], \"text\": \"C16\"},\n {\"box_2d\": [494, 236, 542, 249], \"text\": \"EM2\"},\n {\"box_2d\": [372, 431, 560, 562], \"text\": \"XILINX\u00ae SPARTAN\u00ae-6 XC6SLX45\u2122 FGG484CIV1145 D4317773A 2C\"},\n {\"box_2d\": [518, 801, 540, 834], \"text\": \"RM3\"},\n {\"box_2d\": [518, 106, 548, 132], \"text\": \"P2 P1\"},\n {\"box_2d\": [524, 868, 544, 895], \"text\": \"R21\"},\n {\"box_2d\": [464, 938, 568, 954], \"text\": \"[JTAG]\"},\n {\"box_2d\": [550, 765, 560, 779], \"text\": \"472\"},\n {\"box_2d\": [554, 866, 576, 898], \"text\": \"R22\"},\n {\"box_2d\": [536, 68, 582, 105], \"text\": \"L8 [PW]\"},\n {\"box_2d\": [558, 652, 578, 670], \"text\": \"R1\"},\n {\"box_2d\": [572, 11, 594, 42], \"text\": \"CN4\"},\n {\"box_2d\": [578, 714, 598, 740], \"text\": \"R11\"},\n {\"box_2d\": [602, 433, 628, 491], \"text\": \"TAIWAN\"},\n {\"box_2d\": [594, 656, 630, 670], \"text\": \"R6\"},\n {\"box_2d\": [588, 939, 640, 952], \"text\": \"CN3\"},\n {\"box_2d\": [610, 714, 632, 744], \"text\": \"R10\"},\n {\"box_2d\": [572, 291, 674, 312], \"text\": \"C17 C15\"},\n {\"box_2d\": [624, 7, 666, 20], \"text\": \"C11\"},\n {\"box_2d\": [638, 715, 662, 735], \"text\": \"R9\"},\n {\"box_2d\": [624, 139, 686, 219], \"text\": \"EN5335QI E01MD U140\"},\n {\"box_2d\": [668, 106, 716, 119], \"text\": \"C14\"},\n {\"box_2d\": [674, 714, 696, 736], \"text\": \"R8\"},\n {\"box_2d\": [676, 744, 698, 771], \"text\": \"SW1\"},\n {\"box_2d\": [686, 658, 720, 671], \"text\": \"R7\"},\n {\"box_2d\": [690, 931, 726, 945], \"text\": \"U7\"},\n {\"box_2d\": [708, 279, 718, 290], \"text\": \"102\"},\n {\"box_2d\": [708, 964, 724, 978], \"text\": \"7\"},\n {\"box_2d\": [712, 404, 738, 433], \"text\": \"U21\"},\n {\"box_2d\": [714, 125, 740, 146], \"text\": \"U2\"},\n {\"box_2d\": [716, 206, 750, 219], \"text\": \"P3\"},\n {\"box_2d\": [722, 312, 744, 345], \"text\": \"RM4\"},\n {\"box_2d\": [726, 471, 748, 502], \"text\": \"R37\"},\n {\"box_2d\": [724, 11, 752, 22], \"text\": \"D1\"},\n {\"box_2d\": [736, 84, 758, 104], \"text\": \"P4\"},\n {\"box_2d\": [654, 811, 752, 902], \"text\": \"4 25P32V6P 78646 VS PHL 110\"},\n {\"box_2d\": [738, 47, 770, 59], \"text\": \"L9\"},\n {\"box_2d\": [742, 613, 788, 626], \"text\": \"RC1\"},\n {\"box_2d\": [752, 722, 766, 775], \"text\": \"ONJM\"},\n {\"box_2d\": [730, 929, 804, 956], \"text\": \"TPG2 [GND]\"},\n {\"box_2d\": [780, 472, 804, 493], \"text\": \"R2\"},\n {\"box_2d\": [780, 675, 800, 681], \"text\": \"102\"},\n {\"box_2d\": [790, 535, 800, 548], \"text\": \"102\"},\n {\"box_2d\": [772, 391, 834, 447], \"text\": \"CX104BB 50.000M TCY1121\"},\n {\"box_2d\": [826, 721, 838, 776], \"text\": \"1234\"},\n {\"box_2d\": [824, 661, 848, 694], \"text\": \"RM2\"},\n {\"box_2d\": [818, 56, 860, 70], \"text\": \"CN1\"},\n {\"box_2d\": [830, 524, 852, 558], \"text\": \"RM5\"},\n {\"box_2d\": [800, 141, 862, 174], \"text\": \"150 CFK. 0C7\"},\n {\"box_2d\": [836, 471, 860, 502], \"text\": \"R33\"},\n {\"box_2d\": [836, 229, 868, 241], \"text\": \"L7\"},\n {\"box_2d\": [834, 246, 868, 259], \"text\": \"L6\"},\n {\"box_2d\": [834, 264, 868, 276], \"text\": \"L5\"},\n {\"box_2d\": [834, 281, 868, 294], \"text\": \"L4\"},\n {\"box_2d\": [834, 298, 868, 311], \"text\": \"L3\"},\n {\"box_2d\": [834, 315, 868, 329], \"text\": \"L2\"},\n {\"box_2d\": [840, 333, 868, 346], \"text\": \"L1\"},\n {\"box_2d\": [834, 350, 868, 364], \"text\": \"L0\"},\n {\"box_2d\": [840, 105, 868, 119], \"text\": \"C1\"},\n {\"box_2d\": [852, 711, 878, 718], \"text\": \"1\"},\n {\"box_2d\": [864, 584, 892, 626], \"text\": \"CNA\"},\n {\"box_2d\": [830, 809, 882, 922], \"text\": \"HUMANDATA XCM-019B\"},\n {\"box_2d\": [874, 944, 896, 968], \"text\": \"66\"},\n {\"box_2d\": [912, 5, 938, 14], \"text\": \"2\"},\n {\"box_2d\": [958, 6, 982, 12], \"text\": \"1\"}\n]", "correct": false, "input_tokens": 1322, "output_tokens": 4070, "elapsed_seconds": 32.382693125051446, "metadata": {"question": "{\"question\": \"Locate and transcribe all visible text on the circuit board and its components.\", \"specification\": \"Use one box per distinct marking; join lines within the same marking with single spaces. Exclude logos and non-text symbols. Return plain text, not LaTeX.\\n\\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Do not include explanations or Markdown.\", \"task\": \"localization_recognition\"}", "sample_id": "033b64675b830643e0ab6fb88a63ecc42f9923c6435f90599f9f743ccf6bddac", "category": "localization_recognition", "subset": "6594bb1ef85ebb84", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "022dc2f67bf7ac89d094b5998d0078a0a1a5f50dd3efa628ba47a15c624c0b2d", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe all visible text on the circuit board and its components.\n\nUse one box per distinct marking; join lines within the same marking with single spaces. Exclude logos and non-text symbols. Return plain text, not LaTeX.\n\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Do not include explanations or Markdown.\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 0.6953, "status": "ok", "format_compliant": true, "detection_f1": 0.7296137339055794, "matched_regions": 81, "reference_regions": 121, "predicted_regions": 112, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 32.4118}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 491, "image": "image_92a5a9515e5595634fb36fad_jpg.rf.60a953729e45cf4e52296474c2e59b02.jpg", "expected": "[{\"bbox\":[940,68,996,111],\"text\":\"3,7\"},{\"bbox\":[21,145,80,188],\"text\":\"4,3\"},{\"bbox\":[567,924,596,956],\"text\":\"3\"}]", "predicted": "[{\"box_2d\": [59, 868, 95, 913], \"text\": \"3,7\"}, {\"box_2d\": [128, 22, 160, 72], \"text\": \"4,3\"}, {\"box_2d\": [806, 523, 833, 545], \"text\": \"3\"}]", "correct": true, "input_tokens": 1332, "output_tokens": 100, "elapsed_seconds": 3.836920083966106, "metadata": {"question": "{\"question\": \"Locate and transcribe all visible map labels, abbreviations and numbers.\", \"specification\": \"Use one box per label line, keeping spaced-out letters of the same label together. Include rotated and curved labels; enclose each curved line in one box. Transcribe only visible characters at image edges. Preserve historical spelling, diacritics and punctuation; do not expand abbreviations or modernize names. Return plain text, not LaTeX.\\n\\nUse tight, axis-aligned boxes. Return entries top-to-bottom, then left-to-right. Use null for a visible region whose text cannot be read, and [] when none are present. Return no explanations or Markdown.\", \"task\": \"localization_recognition\"}", "sample_id": "2bdc6c9cae75702c172b94aa63b76310744079f7e9752e8f0cb9490c3e484112", "category": "localization_recognition", "subset": "60ba2e315b54c16e", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "9ea931ad16de84af705fc66726dcebc3278f3d00c29d2148383accc42efb3547", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe all visible map labels, abbreviations and numbers.\n\nUse one box per label line, keeping spaced-out letters of the same label together. Include rotated and curved labels; enclose each curved line in one box. Transcribe only visible characters at image edges. Preserve historical spelling, diacritics and punctuation; do not expand abbreviations or modernize names. Return plain text, not LaTeX.\n\nUse tight, axis-aligned boxes. Return entries top-to-bottom, then left-to-right. Use null for a visible region whose text cannot be read, and [] when none are present. Return no explanations or Markdown.\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 1.0, "status": "ok", "format_compliant": true, "detection_f1": 1.0, "matched_regions": 3, "reference_regions": 3, "predicted_regions": 3, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 3.9112}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 492, "image": "image_b05581f77445c81796a25f3d_png_jpg.rf.87f92e48cd4c81471ab5e41f7d589ab4.jpg", "expected": "99009", "predicted": "09019", "correct": false, "input_tokens": 1152, "output_tokens": 9, "elapsed_seconds": 3.159859540988691, "metadata": {"question": "{\"question\": \"Read the electricity meter reading indicated by the five dials in this image. Return only the five-digit reading, preserving leading zeros. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "759cb2cd8739f121e44dfa3dd977840042d0a35ac188ef8219824403345cb827", "category": "single_string", "subset": "65c332a8b2270f58", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "c18911a56d39ed6d59a59a535eb6ab6f7365ff475c91e4158c825d7b1ca8dd79", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the electricity meter reading indicated by the five dials in this image. Return only the five-digit reading, preserving leading zeros. Do not explain.", "match_method": "single_string", "score": 0.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 3.2216}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 493, "image": "image_a87b7942931e47bae5c65a02_jpg.rf.f976c6ba1947054f966e3e0067c6b36f.jpg", "expected": "195-30-1285\n2644", "predicted": "195-30-1285\n2644", "correct": true, "input_tokens": 1197, "output_tokens": 20, "elapsed_seconds": 3.173804499907419, "metadata": {"question": "{\"question\": \"Transcribe the engraved or stamped letters and numbers on the main foreground metal part. Read each marking in its own orientation; follow curved identifiers from their beginning and put a separate serial number on a new line. Order other lines top-to-bottom, left-to-right. Preserve case, punctuation and line breaks; exclude inspection logos, non-text symbols and clipped background markings. Do not infer missing characters. Use [illegible] for unreadable spans. Return only the transcription, without Markdown or explanations.\", \"task\": \"transcription\"}", "sample_id": "6ff97ea8a570fbd8fc625c3fa3f6c98db3ad52f2f74a99bd2e66d08933e86985", "category": "transcription", "subset": "b2eb7f0ca4b3cb11", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "4266ab9e915f196e273cc8fc68e7a6d7c5bedfeba45227906908f56c6143e53f", "text_protocol": "mixed-text-v2", "scoring_profile": "transcription", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Transcribe the engraved or stamped letters and numbers on the main foreground metal part. Read each marking in its own orientation; follow curved identifiers from their beginning and put a separate serial number on a new line. Order other lines top-to-bottom, left-to-right. Preserve case, punctuation and line breaks; exclude inspection logos, non-text symbols and clipped background markings. Do not infer missing characters. Use [illegible] for unreadable spans. Return only the transcription, without Markdown or explanations.", "match_method": "transcription", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 3.2271}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 494, "image": "image_42d58e98ec27e699ae1d5114_jpg.rf.99d0d153de8752e8c0d8a82d652460d1.jpg", "expected": "{\"invoice_number\":\"411\",\"date\":\"30/09/025\",\"customer_name\":\"Smt Rani\",\"items\":[{\"medicine\":\"ERest beta 0.25\",\"quantity\":\"10 tb\",\"batch_number\":\"CTV01ABA\",\"expiration_date\":\"11/27\",\"amount\":\"58\"},{\"medicine\":\"Health OK\",\"quantity\":\"10 tb\",\"batch_number\":\"SJA1X093\",\"expiration_date\":\"10/26\",\"amount\":\"110\"},{\"medicine\":\"Tramadin Plus\",\"quantity\":\"10 tb\",\"batch_number\":\"CHSX01\",\"expiration_date\":\"4/27\",\"amount\":\"93\"},{\"medicine\":\"Pantakind DSR\",\"quantity\":\"10 tb\",\"batch_number\":\"FGAGX014\",\"expiration_date\":\"4/27\",\"amount\":\"120\"}],\"total\":\"342\"}", "predicted": "{\n \"invoice_number\": \"411\",\n \"date\": \"30/09/025\",\n \"customer_name\": \"Smt Rani\",\n \"items\": [\n {\n \"medicine\": \"Erest beta 0.25\",\n \"quantity\": \"10T\",\n \"batch_number\": \"CHV0148A\",\n \"expiration_date\": \"11/27\",\n \"amount\": \"58\"\n },\n {\n \"medicine\": \"Health ok\",\n \"quantity\": \"10T\",\n \"batch_number\": \"SJA1X093\",\n \"expiration_date\": \"10/26\",\n \"amount\": \"110\"\n },\n {\n \"medicine\": \"Tramadin Plus\",\n \"quantity\": \"10T\",\n \"batch_number\": \"CHSY01\",\n \"expiration_date\": \"4/27\",\n \"amount\": \"93\"\n },\n {\n \"medicine\": \"Pantakind- DSR\",\n \"quantity\": \"10T\",\n \"batch_number\": \"F6AGX014\",\n \"expiration_date\": \"4/27\",\n \"amount\": \"120\"\n }\n ],\n \"total\": \"342\"\n}", "correct": false, "input_tokens": 1307, "output_tokens": 329, "elapsed_seconds": 16.02707266691141, "metadata": {"question": "{\"question\": \"Extract the information from this pharmacy bill. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"invoice_number\\\": null,\\n \\\"date\\\": null,\\n \\\"customer_name\\\": null,\\n \\\"items\\\": [\\n {\\n \\\"medicine\\\": null,\\n \\\"quantity\\\": null,\\n \\\"batch_number\\\": null,\\n \\\"expiration_date\\\": null,\\n \\\"amount\\\": null\\n }\\n ],\\n \\\"total\\\": null\\n}\\n\\nReturn one item per medicine row in reading order. Preserve quantity units. Separate batch numbers from expiration dates. amount is the row amount, not the unit price; total is the final payable amount. Do not calculate amounts. If there are no medicine rows, return an empty items array.\\n\\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "9ac480850dd9c475eeced33f6964bbbece5fcac6f2b2194290b5a42374dff16e", "category": "structured", "subset": "05ecf6bf05f5c67d", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "ae0ff6da410ae593f4a0845f1df972e2a5b527e031f303e44669a441d7255883", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information from this pharmacy bill. Return only a valid JSON object with these fields:\n\n{\n \"invoice_number\": null,\n \"date\": null,\n \"customer_name\": null,\n \"items\": [\n {\n \"medicine\": null,\n \"quantity\": null,\n \"batch_number\": null,\n \"expiration_date\": null,\n \"amount\": null\n }\n ],\n \"total\": null\n}\n\nReturn one item per medicine row in reading order. Preserve quantity units. Separate batch numbers from expiration dates. amount is the row amount, not the unit price; total is the final payable amount. Do not calculate amounts. If there are no medicine rows, return an empty items array.\n\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 0.5833, "status": "ok", "format_compliant": true, "matched_fields": 14, "reference_fields": 24, "predicted_fields": 24, "non_null_field_accuracy": 0.5833333333333334, "object_exact_match": false, "attempts": 1, "retries": 0, "total_seconds": 17.0425}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 495, "image": "image_49a3df5f8f514b74cc98149f_jpg.rf.e11185f6545468cc127927499c6d7b1a.jpg", "expected": "07530", "predicted": "07530", "correct": true, "input_tokens": 1146, "output_tokens": 9, "elapsed_seconds": 2.873392374953255, "metadata": {"question": "{\"question\": \"Read the electricity meter reading visible in this image. Return only the reading as a string of digits. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "be94ce987657318210fa842384bb24a6cd6ee072058c19dd3d8e999733e91f77", "category": "single_string", "subset": "3a0d0e0892a8fc95", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "722231b5826f42adbeaff34aa14506ffb5a323db4ba98811e3fe82968611da06", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the electricity meter reading visible in this image. Return only the reading as a string of digits. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 2.9535}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 496, "image": "image_76c7c4d7d9b242559b9384c1_jpg.rf.09355d30012aaa9212f8e12fba88f10b.jpg", "expected": "250203", "predicted": "250203", "correct": true, "input_tokens": 1143, "output_tokens": 10, "elapsed_seconds": 2.223651250009425, "metadata": {"question": "{\"question\": \"Read the six-digit code engraved on the metal surface. Return only the code as a string of digits, preserving leading zeros. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "dca87da61f6a3f5dd69a9a441cc7e5d9e6afc219f357dac68abbd299e71f83ce", "category": "single_string", "subset": "f2a87f15a0d3eb96", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "45a1af1d53de10fff5c2c9871f8532ea0df5f76adfbad0c4e25e5f3e81613f8c", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the six-digit code engraved on the metal surface. Return only the code as a string of digits, preserving leading zeros. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 2.2334}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 497, "image": "image_187781a02299caff507a557e_jpg.rf.00ac562bbe6f2296e5a2b942b98a79f5.jpg", "expected": "{\"recipient_name\":\"\u5c71\u4e0a\u8a69\u7a42\",\"recipient_furigana\":\"\u30e4\u30de\u30ab\u30df\u30b7\u30aa\",\"recipient_address\":\"\u611b\u77e5\u770c\u540d\u53e4\u5c4b\u5e02\u897f\u533a\u540d\u99c52\u4e01\u76ee16-9\u30d7\u30ec\u30b5\u30f3\u30b9\u540d\u53e4\u5c4bSTATION\u30d3\u30b8\u30e5 1505\",\"recipient_position\":null,\"salary_payment_amount\":\"7,000,000\",\"income_after_salary_deduction\":\"5,100,000\",\"total_income_deductions\":\"220,000\",\"withholding_tax\":\"194,500\",\"payer_name\":\"\u682a\u5f0f\u4f1a\u793e\u30a2\u30bb\u30c3\u30c8\u30b8\u30e3\u30d1\u30f3\",\"payer_address\":\"\u611b\u77e5\u770c\u540d\u53e4\u5c4b\u5e02\u4e2d\u533a\u68042-2-23\u30a2\u30fc\u30af\u767d\u5ddd\u516c\u5712\u30d3\u30eb7F\",\"payer_phone\":\"052-990-2645\"}", "predicted": "{\n \"recipient_name\": \"\u5c71\u4e0a\u8a69\u7a42\",\n \"recipient_furigana\": \"\u30e4\u30de\u30ab\u30df\u30b7\u30db\",\n \"recipient_address\": \"\u611b\u77e5\u770c\u540d\u53e4\u5c4b\u5e02\u897f\u533a\u540d\u99c52\u4e01\u76ee16-9\u30d7\u30ec\u30b5\u30f3\u30b9\u540d\u53e4\u5c4bSTATION\u30d3\u30b8\u30e51505\",\n \"recipient_position\": null,\n \"salary_payment_amount\": \"7,000,000\",\n \"income_after_salary_deduction\": \"5,100,000\",\n \"total_income_deductions\": \"220,000\",\n \"withholding_tax\": \"194,500\",\n \"payer_name\": \"\u682a\u5f0f\u4f1a\u793e\u30a2\u30bb\u30c3\u30c8\u30b8\u30e3\u30d1\u30f3\",\n \"payer_address\": \"\u611b\u77e5\u770c\u540d\u53e4\u5c4b\u5e02\u4e2d\u533a\u68042-2-23\u30a2\u30fc\u30af\u767d\u5ddd\u516c\u5712\u30d3\u30eb7F\",\n \"payer_phone\": \"052-990-2645\"\n}", "correct": false, "input_tokens": 1418, "output_tokens": 218, "elapsed_seconds": 11.97775141603779, "metadata": {"question": "{\"question\": \"Extract these fields from the Japanese salary withholding certificate. Return only a valid JSON object with this structure:\\n\\n{\\n \\\"recipient_name\\\": null,\\n \\\"recipient_furigana\\\": null,\\n \\\"recipient_address\\\": null,\\n \\\"recipient_position\\\": null,\\n \\\"salary_payment_amount\\\": null,\\n \\\"income_after_salary_deduction\\\": null,\\n \\\"total_income_deductions\\\": null,\\n \\\"withholding_tax\\\": null,\\n \\\"payer_name\\\": null,\\n \\\"payer_address\\\": null,\\n \\\"payer_phone\\\": null\\n}\\n\\nRecipient fields come from \u652f\u6255\u3092\u53d7\u3051\u308b\u8005; payer fields come from \u652f\u6255\u8005. Map amounts to \u652f\u6255\u91d1\u984d, \u7d66\u4e0e\u6240\u5f97\u63a7\u9664\u5f8c\u306e\u91d1\u984d, \u6240\u5f97\u63a7\u9664\u306e\u984d\u306e\u5408\u8a08\u984d and \u6e90\u6cc9\u5fb4\u53ce\u7a0e\u984d respectively. Join digits across adjacent boxes; omit printed currency/unit headings, preserving visible numeric separators. Copy furigana exactly even if it differs from the name; do not repair inconsistent entries.\\n\\nIgnore typographic spacing inside Japanese names, words and digit strings; join wrapped Japanese text without adding spaces. Use ASCII digits; preserve actual punctuation. Preserve other text as written. Do not infer missing information or translate. Use strings for extracted values and null for missing or unreadable fields. Include every key. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "bade0b534b3b31b735589a8db9298d0aa025d15345b6578fad077a908b28e1eb", "category": "structured", "subset": "7536d2f054eb9bde", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "802330550adb5e2dbf153be62450494d52825496546eab2b27af0bd5d2465b5b", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract these fields from the Japanese salary withholding certificate. Return only a valid JSON object with this structure:\n\n{\n \"recipient_name\": null,\n \"recipient_furigana\": null,\n \"recipient_address\": null,\n \"recipient_position\": null,\n \"salary_payment_amount\": null,\n \"income_after_salary_deduction\": null,\n \"total_income_deductions\": null,\n \"withholding_tax\": null,\n \"payer_name\": null,\n \"payer_address\": null,\n \"payer_phone\": null\n}\n\nRecipient fields come from \u652f\u6255\u3092\u53d7\u3051\u308b\u8005; payer fields come from \u652f\u6255\u8005. Map amounts to \u652f\u6255\u91d1\u984d, \u7d66\u4e0e\u6240\u5f97\u63a7\u9664\u5f8c\u306e\u91d1\u984d, \u6240\u5f97\u63a7\u9664\u306e\u984d\u306e\u5408\u8a08\u984d and \u6e90\u6cc9\u5fb4\u53ce\u7a0e\u984d respectively. Join digits across adjacent boxes; omit printed currency/unit headings, preserving visible numeric separators. Copy furigana exactly even if it differs from the name; do not repair inconsistent entries.\n\nIgnore typographic spacing inside Japanese names, words and digit strings; join wrapped Japanese text without adding spaces. Use ASCII digits; preserve actual punctuation. Preserve other text as written. Do not infer missing information or translate. Use strings for extracted values and null for missing or unreadable fields. Include every key. Do not include explanations or Markdown.", "match_method": "structured", "score": 0.8182, "status": "ok", "format_compliant": true, "matched_fields": 9, "reference_fields": 11, "predicted_fields": 11, "non_null_field_accuracy": 0.8, "object_exact_match": false, "attempts": 1, "retries": 0, "total_seconds": 12.1323}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 498, "image": "image_54d1c46c1887b049fb5adce0_jpg.rf.ee4f31512b4d2b728befd9d6c5223a69.jpg", "expected": "N C", "predicted": "N 3", "correct": false, "input_tokens": 1154, "output_tokens": 7, "elapsed_seconds": 3.230227708001621, "metadata": {"question": "{\"question\": \"Read the letters and numbers imprinted on the pill in this image. Return only the text, preserving capitalization and separating lines with a single space. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "3e86afe22ec17e1f69ac1ad839be76f5572465504579a730e827fd39f521f33a", "category": "single_string", "subset": "5c725e357739b9ce", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "77cd815534dcd7a927d83999e104d1a813f889c86a187334b3b19628a17e45f3", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the letters and numbers imprinted on the pill in this image. Return only the text, preserving capitalization and separating lines with a single space. Do not explain.", "match_method": "single_string", "score": 0.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 3.2472}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 499, "image": "image_8417c41a8ea005d82e536efd_jpg.rf.8d859cc657e4d0ccf1037f7dcf966d8f.jpg", "expected": "{\"carrier\":\"FedEx\",\"tracking_number\":\"788500420243\",\"sender_name\":\"Shipping Department Wayfair Inc. (Drop Ship)\",\"sender_address\":\"7 Sunset Way Suites 150 Henderson NV 89014 US\",\"recipient_name\":\"Mary Sawyer\",\"recipient_address\":\"22715 County Road 121 Bullard TX 75757 (US)\",\"shipping_service\":\"Home Delivery\",\"weight\":\"49.80 LB\"}", "predicted": "{\n \"carrier\": \"FedEx\",\n \"tracking_number\": \"788500420243\",\n \"sender_name\": \"Shipping Department Wayfair Inc. (Drop Ship)\",\n \"sender_address\": \"7 Sunset Way Suites 150 Henderson NV 89014 US\",\n \"recipient_name\": \"Mary Sawyer\",\n \"recipient_address\": \"22715 County Road 121 Bullard TX 75757 (US)\",\n \"shipping_service\": \"Home Delivery\",\n \"weight\": \"49.80 LB\"\n}", "correct": true, "input_tokens": 1366, "output_tokens": 147, "elapsed_seconds": 3.5441337920492515, "metadata": {"question": "{\"question\": \"Extract the information printed on this shipping label. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"carrier\\\": null,\\n \\\"tracking_number\\\": null,\\n \\\"sender_name\\\": null,\\n \\\"sender_address\\\": null,\\n \\\"recipient_name\\\": null,\\n \\\"recipient_address\\\": null,\\n \\\"shipping_service\\\": null,\\n \\\"weight\\\": null\\n}\\n\\nIgnore accompanying paperwork. Keep company and department lines in names, not addresses; exclude phone numbers. Return tracking_number without spaces (e.g., \u201c7885 0040 8757\u201d \u2192 \u201c788500408757\u201d). Omit the carrier from shipping_service (e.g., \u201cFedEx Home Delivery\u201d \u2192 \u201cHome Delivery\u201d). Retain weight units and printed country information in addresses.\\n\\nPreserve all other text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "36855ab92bcd8d95e141073310c2cc68736a4082e2f4630068ee9e829ac377df", "category": "structured", "subset": "ccd97de2b96725a9", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "60af5f9bb4c6612a26a70578149d74e6c9bab16487e4680d5878b7c5208f4855", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on this shipping label. Return only a valid JSON object with these fields:\n\n{\n \"carrier\": null,\n \"tracking_number\": null,\n \"sender_name\": null,\n \"sender_address\": null,\n \"recipient_name\": null,\n \"recipient_address\": null,\n \"shipping_service\": null,\n \"weight\": null\n}\n\nIgnore accompanying paperwork. Keep company and department lines in names, not addresses; exclude phone numbers. Return tracking_number without spaces (e.g., \u201c7885 0040 8757\u201d \u2192 \u201c788500408757\u201d). Omit the carrier from shipping_service (e.g., \u201cFedEx Home Delivery\u201d \u2192 \u201cHome Delivery\u201d). Retain weight units and printed country information in addresses.\n\nPreserve all other text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 8, "reference_fields": 8, "predicted_fields": 8, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 3.5703}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 500, "image": "image_a8dec3a56e43be12c063e27b_jpg.rf.554b8b6682c11787978fa7a8d6f24f4e.jpg", "expected": "SU-BMQ", "predicted": "SU-BMQ", "correct": true, "input_tokens": 1160, "output_tokens": 8, "elapsed_seconds": 2.4428575829369947, "metadata": {"question": "{\"question\": \"Read the aircraft registration number visible in this image. Return only the registration, preserving letters, digits, and hyphens. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "97c4614ad2497e14b4fd7cfa26f5c542f217575d1f74d6d369531af5a1637e73", "category": "single_string", "subset": "933cf5fad9e7f564", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "d849963c2a69efb0c9424ec94ac17d0ec12933477be21e7dc02b43585f3ec36b", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the aircraft registration number visible in this image. Return only the registration, preserving letters, digits, and hyphens. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 2.4621}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 501, "image": "image_588d2811d5f128c38fee0cf2_jpg.rf.042216b433bfe587d6866fc4438dd449.jpg", "expected": "2022.12.15", "predicted": "2022.12.15", "correct": true, "input_tokens": 1140, "output_tokens": 14, "elapsed_seconds": 3.1606910000555217, "metadata": {"question": "{\"question\": \"Read the expiration date printed on the product in this image. Return only the date exactly as printed, preserving separators and written month names. Exclude prefixes such as \u201cEXP\u201d or \u201cBest Before\u201d. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "5682c9bd49fc77a51299f39a21fa641c20dbce6c2c9b5367835d29bcac9811f0", "category": "single_string", "subset": "6a08778bfde26392", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "3534ca92d6b1b6870f8df5ec5bc16d0f7cf9fa6a7820999a7a6a7c951c914168", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the expiration date printed on the product in this image. Return only the date exactly as printed, preserving separators and written month names. Exclude prefixes such as \u201cEXP\u201d or \u201cBest Before\u201d. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 3.2357}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 502, "image": "image_8677d1b093e9f1691a1aa361_jpg.rf.7ff42690d468b3dffb2a45fe341ab5c6.jpg", "expected": "{\"player_name\":\"FAEDO/HRBEK/LAUDNER\",\"card_number\":\"766\",\"year\":\"1982\",\"set_name\":\"TOPPS\",\"variety\":\"TWINS FUTURE STARS\",\"grade\":\"7\",\"grade_description\":\"NM\",\"qualifier\":null,\"certification_number\":\"48267036\"}", "predicted": "{\n \"player_name\": \"FAEDO/HRBEK/LAUDNER\",\n \"card_number\": \"766\",\n \"year\": \"1982\",\n \"set_name\": \"TOPPS\",\n \"variety\": \"TWINS FUTURE STARS\",\n \"grade\": \"7\",\n \"grade_description\": \"NM\",\n \"qualifier\": null,\n \"certification_number\": \"48267036\"\n}", "correct": true, "input_tokens": 1419, "output_tokens": 113, "elapsed_seconds": 4.130073167034425, "metadata": {"question": "{\"question\": \"Extract the information printed on this PSA-graded sports card and its holder. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"player_name\\\": null,\\n \\\"card_number\\\": null,\\n \\\"year\\\": null,\\n \\\"set_name\\\": null,\\n \\\"variety\\\": null,\\n \\\"grade\\\": null,\\n \\\"grade_description\\\": null,\\n \\\"qualifier\\\": null,\\n \\\"certification_number\\\": null\\n}\\n\\nPrefer the holder label; use the card only for missing player names and card numbers. Use its set heading without the year or card number as set_name; put separate team, subset and variation text in variety, excluding authentication notices. Keep only player names in player_name. Preserve printed years or seasons.\\n\\nReturn the numeric grade, including decimals (e.g., \u201cEX-MT+ 6.5\u201d \u2192 \u201c6.5\u201d), its wording in grade_description, and condition qualifiers in qualifier (e.g., \u201c8 (OC)\u201d \u2192 \u201cOC\u201d). Omit #, spaces and set totals from card_number. Use the PSA certificate ID for certification_number.\\n\\nNormalize dashes to - without surrounding spaces and remove spaces before + (e.g., \u201cNM \u2013 MT +\u201d \u2192 \u201cNM-MT+\u201d). Preserve all other text and capitalization as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nInclude every key. Use strings for extracted values and null for missing fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "2bb70edcc5e18ea92ec95e55cb27ef09a76efcb75a829d90df33ff7e5e5d7f99", "category": "structured", "subset": "ae86443b5fadcab9", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "91be0fc88d2281c3da36663b1caf1c61d11599f8e74553de87ac3d2982323200", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on this PSA-graded sports card and its holder. Return only a valid JSON object with these fields:\n\n{\n \"player_name\": null,\n \"card_number\": null,\n \"year\": null,\n \"set_name\": null,\n \"variety\": null,\n \"grade\": null,\n \"grade_description\": null,\n \"qualifier\": null,\n \"certification_number\": null\n}\n\nPrefer the holder label; use the card only for missing player names and card numbers. Use its set heading without the year or card number as set_name; put separate team, subset and variation text in variety, excluding authentication notices. Keep only player names in player_name. Preserve printed years or seasons.\n\nReturn the numeric grade, including decimals (e.g., \u201cEX-MT+ 6.5\u201d \u2192 \u201c6.5\u201d), its wording in grade_description, and condition qualifiers in qualifier (e.g., \u201c8 (OC)\u201d \u2192 \u201cOC\u201d). Omit #, spaces and set totals from card_number. Use the PSA certificate ID for certification_number.\n\nNormalize dashes to - without surrounding spaces and remove spaces before + (e.g., \u201cNM \u2013 MT +\u201d \u2192 \u201cNM-MT+\u201d). Preserve all other text and capitalization as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nInclude every key. Use strings for extracted values and null for missing fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 9, "reference_fields": 9, "predicted_fields": 9, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 4.2126}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 503, "image": "image_9607f3159de2433c32aa7290_jpg.rf.b31acd44f5cba0fe9df5e0a24dbb77b1.jpg", "expected": "OO-GFD", "predicted": "OO-GFD", "correct": true, "input_tokens": 1140, "output_tokens": 8, "elapsed_seconds": 2.3108002910157666, "metadata": {"question": "{\"question\": \"Read the aircraft registration number visible in this image. Return only the registration, preserving letters, digits, and hyphens. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "d0023cba4f219775220dcbb8def753d72c71fc3d03b00facbcb58e81d5041a66", "category": "single_string", "subset": "933cf5fad9e7f564", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "f8e5198e885e623e7055ab4f62382b073a5b0e3b116f2bf853cad461817ddd72", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the aircraft registration number visible in this image. Return only the registration, preserving letters, digits, and hyphens. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 2.325}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 504, "image": "image_8999afa740fef6173f1cbe3f_jpg.rf.f050db4eac9a447e5d016ed486877579.jpg", "expected": "245/70R19.5", "predicted": "245/70R19.5", "correct": true, "input_tokens": 1250, "output_tokens": 15, "elapsed_seconds": 11.373615749995224, "metadata": {"question": "{\"question\": \"Read the tire size molded into the visible sidewall, such as 315/80R22.5 or 12R22.5. Return only the size text, removing spaces and preserving letters, digits, slashes and decimal points. Exclude the adjacent load index, speed rating, brand, model, DOT code and pressure or load measurements. If multiple size markings are visible, choose the one with the largest text; break ties left-to-right. Return null if the complete size is absent, cropped or unreadable. Do not include explanations or Markdown.\", \"task\": \"single_string\"}", "sample_id": "20e74fef32f0817db7f28375b354c4cd566da678bde1989947781b8b809b4b37", "category": "single_string", "subset": "aad8c1d2eecc1e5d", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "60028d225c4b98d3ce5638651f5b7d03795a5391482289130b7b1bcaae0a89ea", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the tire size molded into the visible sidewall, such as 315/80R22.5 or 12R22.5. Return only the size text, removing spaces and preserving letters, digits, slashes and decimal points. Exclude the adjacent load index, speed rating, brand, model, DOT code and pressure or load measurements. If multiple size markings are visible, choose the one with the largest text; break ties left-to-right. Return null if the complete size is absent, cropped or unreadable. Do not include explanations or Markdown.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 11.6837}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 505, "image": "image_0c7c8ef74d1a88203c306d47_jpg.rf.75df00ae3cabddca593bad499575aed6.jpg", "expected": "1:34", "predicted": "1:34", "correct": true, "input_tokens": 1198, "output_tokens": 8, "elapsed_seconds": 3.967488000052981, "metadata": {"question": "{\"question\": \"Read the illuminated value in the largest numeric readout on this treadmill display. If equally large readouts are present, choose the topmost, then leftmost. Preserve leading zeros and visible decimal points or colons between digits. Ignore unlit segments, isolated indicator lights and smaller secondary readouts. Do not infer units or reformat the value as time. Return only the displayed value, or null if incomplete or unreadable. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "94a1907e6b2967d35eb187735555956782af4482f3295fa05c66d533c4e787b7", "category": "single_string", "subset": "6320a2ab21674c00", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "4cf0c63b050b5e26cf8bee2252e87a314baa1d550c9623b851e392bf1ae31eb3", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the illuminated value in the largest numeric readout on this treadmill display. If equally large readouts are present, choose the topmost, then leftmost. Preserve leading zeros and visible decimal points or colons between digits. Ignore unlit segments, isolated indicator lights and smaller secondary readouts. Do not infer units or reformat the value as time. Return only the displayed value, or null if incomplete or unreadable. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 4.0078}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 506, "image": "image_14de54c1ae1f58425d9820cc_jpg.rf.fec371795b3e2f5b97630cf1da826469.jpg", "expected": "3:04", "predicted": "3:04", "correct": true, "input_tokens": 1220, "output_tokens": 8, "elapsed_seconds": 2.6297423751093447, "metadata": {"question": "{\"question\": \"Read the illuminated value in the largest numeric readout on this treadmill display. If equally large readouts are present, choose the topmost, then leftmost. Preserve leading zeros and visible decimal points or colons between digits. Ignore unlit segments, isolated indicator lights and smaller secondary readouts. Do not infer units or reformat the value as time. Return only the displayed value, or null if incomplete or unreadable. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "d69dc2f80da32e8894219aeeea2ad94087036cfbf8e66ba6ccb4e78828d2c262", "category": "single_string", "subset": "6320a2ab21674c00", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "e50dd52445f5121d7d0714e976e474405d6216d898e66e31ed53f087ef23c38d", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the illuminated value in the largest numeric readout on this treadmill display. If equally large readouts are present, choose the topmost, then leftmost. Preserve leading zeros and visible decimal points or colons between digits. Ignore unlit segments, isolated indicator lights and smaller secondary readouts. Do not infer units or reformat the value as time. Return only the displayed value, or null if incomplete or unreadable. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 2.6535}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 507, "image": "image_0d06a46e32d7dfea49da974a_jpg.rf.43e52286caf599a46e341fb23c718b72.jpg", "expected": "[{\"bbox\":[2432,707,2613,768],\"text\":\"14\u00b015' \u00b10\u00b030'\"},{\"bbox\":[2041,845,2098,873],\"text\":\"5.0\"},{\"bbox\":[1802,846,1902,876],\"text\":\"20.00\"},{\"bbox\":[2522,848,2554,974],\"text\":\"\u00d815.00\"},{\"bbox\":[1577,851,1627,1019],\"text\":\"\u00d811.4 +0.2 0\"},{\"bbox\":[1042,881,1138,977],\"text\":\"\u00d822.00\"},{\"bbox\":[1498,884,1548,1012],\"text\":\"\u00d814 0 -0.1\"},{\"bbox\":[2169,894,2261,923],\"text\":\"1X45\u00b0\"},{\"bbox\":[2599,1047,2630,1171],\"text\":\"\u00d819.00\"},{\"bbox\":[1605,1273,1694,1304],\"text\":\"1X45\u00b0\"},{\"bbox\":[1883,1320,1960,1352],\"text\":\"35.0\"},{\"bbox\":[907,1367,1000,1395],\"text\":\"19.00\"},{\"bbox\":[2020,1376,2122,1406],\"text\":\"59.50\"}]", "predicted": "[{\"box_2d\": [283, 692, 313, 744], \"text\": \"14\\u00b015' \\u00b10\\u00b030'\"}, {\"box_2d\": [339, 513, 353, 542], \"text\": \"20.00\"}, {\"box_2d\": [340, 579, 353, 599], \"text\": \"5.0\"}, {\"box_2d\": [342, 449, 412, 463], \"text\": \"\\u00d811.4 +0.2 0\"}, {\"box_2d\": [342, 718, 393, 728], \"text\": \"\\u00d815.00\"}, {\"box_2d\": [351, 297, 396, 328], \"text\": \"\\u00d822.00\"}, {\"box_2d\": [360, 427, 408, 441], \"text\": \"\\u00d814 0 -0.1\"}, {\"box_2d\": [360, 616, 372, 645], \"text\": \"1X45\\u00b0\"}, {\"box_2d\": [422, 740, 472, 750], \"text\": \"\\u00d819.00\"}, {\"box_2d\": [513, 456, 526, 484], \"text\": \"1X45\\u00b0\"}, {\"box_2d\": [532, 535, 545, 560], \"text\": \"35.0\"}, {\"box_2d\": [549, 256, 563, 286], \"text\": \"19.00\"}, {\"box_2d\": [553, 575, 566, 604], \"text\": \"59.50\"}]", "correct": true, "input_tokens": 1364, "output_tokens": 534, "elapsed_seconds": 7.255656624911353, "metadata": {"question": "{\"question\": \"Locate and transcribe all dimension annotations in this technical drawing.\", \"specification\": \"Use one tight, axis-aligned bounding box per dimension annotation, enclosing its text rather than the dimension lines or arrows. Include rotated annotations. Keep tolerances and stacked values with their associated dimension.\\n\\n\\n\\nPreserve each dimension as printed, including decimal separators, units, symbols, and tolerances. Join line breaks within an annotation with spaces. Do not calculate dimensions from the drawing or infer missing characters. Exclude titles, notes, part numbers, and other text that is not a dimension annotation. If an annotation is visible but cannot be transcribed, use null for its text.\\n\\nReturn entries in top-to-bottom, then left-to-right order. If no dimension annotations are visible, return []. Do not include explanations or Markdown.\", \"task\": \"localization_recognition\"}", "sample_id": "f159f069ebf8628ad4c28f39726428f9cbc90ec2ca91cd0dd2a23a55536e82c5", "category": "localization_recognition", "subset": "066a130d25134fbf", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "ba948f4d0fc475eecb82b65a733bac44f8d61abcef5a0345a972a6c688194ddf", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe all dimension annotations in this technical drawing.\n\nUse one tight, axis-aligned bounding box per dimension annotation, enclosing its text rather than the dimension lines or arrows. Include rotated annotations. Keep tolerances and stacked values with their associated dimension.\n\n\n\nPreserve each dimension as printed, including decimal separators, units, symbols, and tolerances. Join line breaks within an annotation with spaces. Do not calculate dimensions from the drawing or infer missing characters. Exclude titles, notes, part numbers, and other text that is not a dimension annotation. If an annotation is visible but cannot be transcribed, use null for its text.\n\nReturn entries in top-to-bottom, then left-to-right order. If no dimension annotations are visible, return []. Do not include explanations or Markdown.\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 1.0, "status": "ok", "format_compliant": true, "detection_f1": 1.0, "matched_regions": 13, "reference_regions": 13, "predicted_regions": 13, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 7.3362}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 508, "image": "image_5867946745ab8f261d6293c3_jpg.rf.f79b1670c92b21273cfb18ded3e1794c.jpg", "expected": "215/75R17.5", "predicted": "215/75R17.5", "correct": true, "input_tokens": 1214, "output_tokens": 15, "elapsed_seconds": 2.9212582500185817, "metadata": {"question": "{\"question\": \"Read the tire size molded into the visible sidewall, such as 315/80R22.5 or 12R22.5. Return only the size text, removing spaces and preserving letters, digits, slashes and decimal points. Exclude the adjacent load index, speed rating, brand, model, DOT code and pressure or load measurements. If multiple size markings are visible, choose the one with the largest text; break ties left-to-right. Return null if the complete size is absent, cropped or unreadable. Do not include explanations or Markdown.\", \"task\": \"single_string\"}", "sample_id": "62a0dd3a998a7a8164af0e14e716ccb229c817f7aa04c423443e223a6d13a906", "category": "single_string", "subset": "aad8c1d2eecc1e5d", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "99f90e0aa16a0046c33bd405b907db5d6badb8dd969c385946184d89832ea4d1", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the tire size molded into the visible sidewall, such as 315/80R22.5 or 12R22.5. Return only the size text, removing spaces and preserving letters, digits, slashes and decimal points. Exclude the adjacent load index, speed rating, brand, model, DOT code and pressure or load measurements. If multiple size markings are visible, choose the one with the largest text; break ties left-to-right. Return null if the complete size is absent, cropped or unreadable. Do not include explanations or Markdown.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 3.001}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 509, "image": "image_128ebb6a2a519ae7d4a2642e_jpg.rf.f02e6ad1a0cff2260d59bbb54a33ef08.jpg", "expected": "{\"route_number\":\"166\",\"bus_number\":\"7-3083\",\"destination_sign\":\"\u0e1b\u0e32\u0e01\u0e40\u0e01\u0e23\u0e47\u0e14 PAKKRET \u0e40\u0e21\u0e37\u0e2d\u0e07\u0e17\u0e2d\u0e07\u0e18\u0e32\u0e19\u0e35 MUANG THONG TANI\",\"license_plate\":\"12-2817\"}", "predicted": "{\n \"route_number\": \"166\",\n \"bus_number\": \"7-3083\",\n \"destination_sign\": \"\u0e1b\u0e32\u0e01\u0e40\u0e01\u0e23\u0e47\u0e14 PAKKRET \u0e40\u0e21\u0e37\u0e2d\u0e07\u0e17\u0e2d\u0e07\u0e18\u0e32\u0e19\u0e35 MUANG THONG TANI\",\n \"license_plate\": \"THAILAND 01 12-2817 \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23\"\n}", "correct": false, "input_tokens": 1209, "output_tokens": 88, "elapsed_seconds": 9.305025084060617, "metadata": {"question": "{\"question\": \"Extract the information printed on the main bus in this image. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"route_number\\\": null,\\n \\\"bus_number\\\": null,\\n \\\"destination_sign\\\": null,\\n \\\"license_plate\\\": null\\n}\\n\\nPreserve the text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "321597c6725281c8b186fa3cf7f99bf567bdba0bfe744d8e9c1e61a5c07a1b5b", "category": "structured", "subset": "477b707cebbcd6df", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "62baac53a7a4d752e107f795160154871a2b12c115e02edd656c90c6628dcd57", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on the main bus in this image. Return only a valid JSON object with these fields:\n\n{\n \"route_number\": null,\n \"bus_number\": null,\n \"destination_sign\": null,\n \"license_plate\": null\n}\n\nPreserve the text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 0.75, "status": "ok", "format_compliant": true, "matched_fields": 3, "reference_fields": 4, "predicted_fields": 4, "non_null_field_accuracy": 0.75, "object_exact_match": false, "attempts": 1, "retries": 0, "total_seconds": 9.8049}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 510, "image": "image_84322554e15ff7e6e1cb11d4_jpg.rf.4702cf6b8268b8c3d2a1147ffc2355e1.jpg", "expected": "34770", "predicted": "34770", "correct": true, "input_tokens": 1146, "output_tokens": 9, "elapsed_seconds": 3.10353954101447, "metadata": {"question": "{\"question\": \"Read the electricity meter reading visible in this image. Return only the reading as a string of digits. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "5ed822b1facd522d7600dcc94e7518d70bd639707dc0e451f5e488803e041c8d", "category": "single_string", "subset": "3a0d0e0892a8fc95", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "40f7dd2e868db8c7f6bec1d4b9e6186097f559dd77dc17eabda4e596f0ad25a1", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the electricity meter reading visible in this image. Return only the reading as a string of digits. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 3.186}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 511, "image": "image_03aaa81cc6edb3047c5e2fef_jpg.rf.226c1c552a1e2bfb2e2e863face8553a.jpg", "expected": "{\"heat_number\":\"A78468\",\"billet_id\":\"1051\"}", "predicted": "{\n \"heat_number\": \"A78468\",\n \"billet_id\": \"1051\"\n}", "correct": true, "input_tokens": 1241, "output_tokens": 36, "elapsed_seconds": 2.6038224170915782, "metadata": {"question": "{\"question\": \"Extract the information printed on the end of this metal billet. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"heat_number\\\": null,\\n \\\"billet_id\\\": null\\n}\\n\\nUse the letter-prefixed code for heat_number and the separate shorter numeric code for billet_id. Preserve leading zeros and omit spaces within codes.\\n\\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "19c945d09685377c38dca978dc2588f4148b7324083fbba310fbbb003171064f", "category": "structured", "subset": "84ce444ef86dc04d", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "32ea4a78dc4866b0628bad80339ad30a5662040342c1b5255e13840d80e3f27c", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on the end of this metal billet. Return only a valid JSON object with these fields:\n\n{\n \"heat_number\": null,\n \"billet_id\": null\n}\n\nUse the letter-prefixed code for heat_number and the separate shorter numeric code for billet_id. Preserve leading zeros and omit spaces within codes.\n\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 2, "reference_fields": 2, "predicted_fields": 2, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 2.6129}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 512, "image": "image_9505ac32ac24e6bcad01a9a7_jpg.rf.dd1611740d19a6adfff01a0562287ad1.jpg", "expected": "XW8ZZZCKZNG006202", "predicted": "XW8ZZZCKZNG006202", "correct": true, "input_tokens": 1155, "output_tokens": 17, "elapsed_seconds": 2.594264707993716, "metadata": {"question": "{\"question\": \"Read the vehicle identification number (VIN) visible in this image. Return only the VIN as a string of uppercase letters and digits, without spaces. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "d07b5533315b122f05115a2b67a4f803f0b8fca40837fbba6673a96f8d3bfa01", "category": "single_string", "subset": "733007c96827bfe7", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "a52ac57fdac72379d07fecd708cb8eeee84eb91fbe3aa717ec6fc0bb4ada8554", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the vehicle identification number (VIN) visible in this image. Return only the VIN as a string of uppercase letters and digits, without spaces. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 2.6016}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 513, "image": "image_0f6a2afc048262b82b5eacc4_jpg.rf.7344225d2dc0410f4ace9f61fc654830.jpg", "expected": "[{\"bbox\":[321,13,370,31],\"text\":\"THE\"},{\"bbox\":[276,14,308,32],\"text\":\"TO\"},{\"bbox\":[381,16,441,37],\"text\":\"CITY\"},{\"bbox\":[139,19,266,60],\"text\":\"WELCOME\"},{\"bbox\":[453,29,488,51],\"text\":\"OF\"},{\"bbox\":[131,62,490,147],\"text\":\"GLYNDON\"}]", "predicted": "[{\"box_2d\": [50, 217, 169, 412], \"text\": \"WELCOME\"}, {\"box_2d\": [39, 433, 83, 483], \"text\": \"TO\"}, {\"box_2d\": [36, 502, 81, 578], \"text\": \"THE\"}, {\"box_2d\": [44, 597, 106, 689], \"text\": \"CITY\"}, {\"box_2d\": [78, 709, 133, 758], \"text\": \"OF\"}, {\"box_2d\": [175, 205, 408, 764], \"text\": \"GLYNDON\"}]", "correct": true, "input_tokens": 1332, "output_tokens": 191, "elapsed_seconds": 4.9248954160138965, "metadata": {"question": "{\"question\": \"Locate and transcribe all text on the signs in this image.\", \"specification\": \"Use one box per word or standalone number, including curved words in a single box. Exclude text outside the signs and purely graphical symbols. Return plain text, not LaTeX.\\n\\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\", \"task\": \"localization_recognition\"}", "sample_id": "0851d89708a4c11b103be21844b533cdf25f12aa94b4bef31d097e88e0f66991", "category": "localization_recognition", "subset": "21363697af554f8e", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "4030ca5436edb5dfe118927ac688d6bc65dc028c36ddaf96f89e656da0533e22", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe all text on the signs in this image.\n\nUse one box per word or standalone number, including curved words in a single box. Exclude text outside the signs and purely graphical symbols. Return plain text, not LaTeX.\n\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 1.0, "status": "ok", "format_compliant": true, "detection_f1": 1.0, "matched_regions": 6, "reference_regions": 6, "predicted_regions": 6, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 4.944}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 514, "image": "image_fb5044701081f6c61fe62879_jpg.rf.de5357fa5ea730386c1e785d19938f56.jpg", "expected": "{\"serving_size\":\"1 1/4 Cup (58g)\",\"servings_per_container\":\"About 6\",\"calories\":\"180\",\"total_fat\":{\"amount\":\"2g\",\"daily_value\":\"3%\"},\"saturated_fat\":{\"amount\":\"0g\",\"daily_value\":\"0%\"},\"trans_fat\":{\"amount\":\"0g\",\"daily_value\":null},\"cholesterol\":{\"amount\":\"0mg\",\"daily_value\":\"0%\"},\"sodium\":{\"amount\":\"115mg\",\"daily_value\":\"5%\"},\"total_carbohydrate\":{\"amount\":\"40g\",\"daily_value\":\"13%\"},\"dietary_fiber\":{\"amount\":\"13g\",\"daily_value\":\"52%\"},\"total_sugars\":{\"amount\":\"8g\",\"daily_value\":null},\"protein\":{\"amount\":\"12g\",\"daily_value\":\"17%\"},\"vitamin_a\":{\"amount\":null,\"daily_value\":\"0%\"},\"vitamin_c\":{\"amount\":null,\"daily_value\":\"0%\"},\"calcium\":{\"amount\":null,\"daily_value\":\"4%\"},\"iron\":{\"amount\":null,\"daily_value\":\"10%\"},\"potassium\":{\"amount\":\"390mg\",\"daily_value\":\"11%\"}}", "predicted": "{\"serving_size\": \"1 1/4 Cup (58g)\", \"servings_per_container\": \"About 6\", \"calories\": \"180\", \"total_fat\": {\"amount\": \"2g\", \"daily_value\": \"3%\"}, \"saturated_fat\": {\"amount\": \"0g\", \"daily_value\": \"0%\"}, \"trans_fat\": {\"amount\": \"0g\", \"daily_value\": null}, \"cholesterol\": {\"amount\": \"0mg\", \"daily_value\": \"0%\"}, \"sodium\": {\"amount\": \"115mg\", \"daily_value\": \"5%\"}, \"total_carbohydrate\": {\"amount\": \"40g\", \"daily_value\": \"13%\"}, \"dietary_fiber\": {\"amount\": \"13g\", \"daily_value\": \"52%\"}, \"total_sugars\": {\"amount\": \"8g\", \"daily_value\": null}, \"protein\": {\"amount\": \"12g\", \"daily_value\": \"17%\"}, \"vitamin_a\": {\"amount\": null, \"daily_value\": \"0%\"}, \"vitamin_c\": {\"amount\": null, \"daily_value\": \"0%\"}, \"calcium\": {\"amount\": null, \"daily_value\": \"4%\"}, \"iron\": {\"amount\": null, \"daily_value\": \"10%\"}, \"potassium\": {\"amount\": \"390mg\", \"daily_value\": \"11%\"}}", "correct": true, "input_tokens": 1637, "output_tokens": 327, "elapsed_seconds": 5.08045162493363, "metadata": {"question": "{\"question\": \"Extract the information printed in the main Nutrition Facts panel in this image. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"serving_size\\\": null,\\n \\\"servings_per_container\\\": null,\\n \\\"calories\\\": null,\\n \\\"total_fat\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"saturated_fat\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"trans_fat\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"cholesterol\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"sodium\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"total_carbohydrate\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"dietary_fiber\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"total_sugars\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"protein\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"vitamin_a\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"vitamin_c\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"calcium\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"iron\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"potassium\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null}\\n}\\n\\nUse per-serving values as packaged, not prepared or per-container values. Use Calories, not Calories from Fat. Map \u201cSugars\u201d to total_sugars.\\n\\nKeep nutrient amounts and daily-value percentages separate (e.g., \u201cCalcium 260 mg 20%\u201d \u2192 {\\\"amount\\\": \\\"260mg\\\", \\\"daily_value\\\": \\\"20%\\\"}). Preserve printed units and qualifiers; do not calculate or convert values.\\n\\nFormat serving_size as household measure followed by metric quantity in parentheses (e.g., \u201c2 pieces 30 g\u201d \u2192 \u201c2 pieces (30g)\u201d). If only one measure is printed, return it alone. Preserve additional serving-size details.\\n\\nRemove spaces between numbers and units or % signs. Preserve all other text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nInclude every key. Use strings for extracted values and null for missing or unreadable values, including individual amounts or percentages. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "6d48ccf2c9ce4b3e56c45f505ff98485898223fd8a00f229cda5017411d49a3e", "category": "structured", "subset": "3d0c26ee8395584a", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "90327eb802d6c77e576e6bdcff2afc688a5f05a6d7abc96b61c4b258071dae55", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed in the main Nutrition Facts panel in this image. Return only a valid JSON object with these fields:\n\n{\n \"serving_size\": null,\n \"servings_per_container\": null,\n \"calories\": null,\n \"total_fat\": {\"amount\": null, \"daily_value\": null},\n \"saturated_fat\": {\"amount\": null, \"daily_value\": null},\n \"trans_fat\": {\"amount\": null, \"daily_value\": null},\n \"cholesterol\": {\"amount\": null, \"daily_value\": null},\n \"sodium\": {\"amount\": null, \"daily_value\": null},\n \"total_carbohydrate\": {\"amount\": null, \"daily_value\": null},\n \"dietary_fiber\": {\"amount\": null, \"daily_value\": null},\n \"total_sugars\": {\"amount\": null, \"daily_value\": null},\n \"protein\": {\"amount\": null, \"daily_value\": null},\n \"vitamin_a\": {\"amount\": null, \"daily_value\": null},\n \"vitamin_c\": {\"amount\": null, \"daily_value\": null},\n \"calcium\": {\"amount\": null, \"daily_value\": null},\n \"iron\": {\"amount\": null, \"daily_value\": null},\n \"potassium\": {\"amount\": null, \"daily_value\": null}\n}\n\nUse per-serving values as packaged, not prepared or per-container values. Use Calories, not Calories from Fat. Map \u201cSugars\u201d to total_sugars.\n\nKeep nutrient amounts and daily-value percentages separate (e.g., \u201cCalcium 260 mg 20%\u201d \u2192 {\"amount\": \"260mg\", \"daily_value\": \"20%\"}). Preserve printed units and qualifiers; do not calculate or convert values.\n\nFormat serving_size as household measure followed by metric quantity in parentheses (e.g., \u201c2 pieces 30 g\u201d \u2192 \u201c2 pieces (30g)\u201d). If only one measure is printed, return it alone. Preserve additional serving-size details.\n\nRemove spaces between numbers and units or % signs. Preserve all other text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nInclude every key. Use strings for extracted values and null for missing or unreadable values, including individual amounts or percentages. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 31, "reference_fields": 31, "predicted_fields": 31, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 5.1092}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 515, "image": "image_dc70ca3886b0a13bd3a29a82_jpg.rf.a711d1f0783d81d33b72c03a60e802e7.jpg", "expected": "{\"route_number\":\"18\",\"bus_number\":\"2-3(21)\",\"destination_sign\":\"\u0e15\u0e25\u0e32\u0e14\u0e17\u0e48\u0e32\u0e2d\u0e34\u0e10 THAIT MARKET\",\"license_plate\":\"16-8069\"}", "predicted": "{\n \"route_number\": \"18\",\n \"bus_number\": \"2-3(21)\",\n \"destination_sign\": \"\u0e15\u0e25\u0e32\u0e14\u0e17\u0e48\u0e32\u0e2d\u0e34\u0e10 THAIT MARKET\",\n \"license_plate\": \"16-8069\"\n}", "correct": true, "input_tokens": 1209, "output_tokens": 65, "elapsed_seconds": 8.047952457913198, "metadata": {"question": "{\"question\": \"Extract the information printed on the main bus in this image. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"route_number\\\": null,\\n \\\"bus_number\\\": null,\\n \\\"destination_sign\\\": null,\\n \\\"license_plate\\\": null\\n}\\n\\nPreserve the text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "2dc9db55de53f8b4f1c4a51cac98dceec0bbf8a178513bf4ab74619c6da39d99", "category": "structured", "subset": "477b707cebbcd6df", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "17ff14851f031d9815944ede0f9906fb0cbb0c21c0c05857ceb4f991b754449a", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on the main bus in this image. Return only a valid JSON object with these fields:\n\n{\n \"route_number\": null,\n \"bus_number\": null,\n \"destination_sign\": null,\n \"license_plate\": null\n}\n\nPreserve the text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 4, "reference_fields": 4, "predicted_fields": 4, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 8.5997}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 516, "image": "image_b4b6c97db27c56e3f9366cf3_jpg.rf.85f5991550d5aaff403bef97e5319b08.jpg", "expected": "261", "predicted": "261", "correct": true, "input_tokens": 1152, "output_tokens": 7, "elapsed_seconds": 2.9895180420717224, "metadata": {"question": "{\"question\": \"Read the house number on the address plate in this image. Return only the number, including any letters, hyphens, or slashes. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "3f44c099f2e769bedadb903bccefb5b73e37bbc7ad1405a99cbc46553e76520d", "category": "single_string", "subset": "4788f963011764ba", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "f0a44ef1a766fbb903c925f88691442661c12c05e27676f443a92b79f7819f72", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the house number on the address plate in this image. Return only the number, including any letters, hyphens, or slashes. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 3.0295}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 517, "image": "image_bc0af28fd06debf70160f171_jpg.rf.71341ca059c10c0698ce15f35b260ed0.jpg", "expected": "{\"heat_number\":\"A78386\",\"billet_id\":\"2031\"}", "predicted": "{\n \"heat_number\": \"A78386\",\n \"billet_id\": \"2031\"\n}", "correct": true, "input_tokens": 1225, "output_tokens": 36, "elapsed_seconds": 2.9088953329483047, "metadata": {"question": "{\"question\": \"Extract the information printed on the end of this metal billet. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"heat_number\\\": null,\\n \\\"billet_id\\\": null\\n}\\n\\nUse the letter-prefixed code for heat_number and the separate shorter numeric code for billet_id. Preserve leading zeros and omit spaces within codes.\\n\\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "9af9e83321be337e21db544d744978f63dbdc1c330af953e3aca8326459fcc15", "category": "structured", "subset": "84ce444ef86dc04d", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "ddbc4b83f10bba605bdd678d9c11cb2604a6d94717c6a9c90cfd04a16f8d643b", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on the end of this metal billet. Return only a valid JSON object with these fields:\n\n{\n \"heat_number\": null,\n \"billet_id\": null\n}\n\nUse the letter-prefixed code for heat_number and the separate shorter numeric code for billet_id. Preserve leading zeros and omit spaces within codes.\n\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 2, "reference_fields": 2, "predicted_fields": 2, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 2.9182}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 518, "image": "image_7083f2c160fa672b32558f9f_jpg.rf.aacb9ca3c9ccf18836ef245fbd1e521e.jpg", "expected": "{\"departure_station\":\"HACHIOJI\",\"arrival_station\":\"SHINJUKU\",\"travel_date\":\"OCT.15\",\"departure_time\":\"09:49\",\"arrival_time\":\"10:26\",\"train\":\"KAIJI 10\",\"carriage\":\"4\",\"seat\":\"12-A\"}", "predicted": "{\n \"departure_station\": \"HACHIOJI\",\n \"arrival_station\": \"SHINJUKU\",\n \"travel_date\": \"OCT.15\",\n \"departure_time\": \"9:49\",\n \"arrival_time\": \"10:26\",\n \"train\": \"KAIJI 10\",\n \"carriage\": \"4\",\n \"seat\": \"12-A\"\n}", "correct": false, "input_tokens": 1357, "output_tokens": 105, "elapsed_seconds": 3.6586895000655204, "metadata": {"question": "{\"question\": \"Extract journey information from this railway ticket. Return only a valid JSON object with this structure:\\n\\n{\\n \\\"departure_station\\\": null,\\n \\\"arrival_station\\\": null,\\n \\\"travel_date\\\": null,\\n \\\"departure_time\\\": null,\\n \\\"arrival_time\\\": null,\\n \\\"train\\\": null,\\n \\\"carriage\\\": null,\\n \\\"seat\\\": null\\n}\\n\\nUse printed Latin-script station and train names where available. Copy the travel date, not the issue date; do not add an unprinted year. Write the abbreviated month and day without spaces (e.g., OCT.18), and use \u00b7 for a middle dot. Return times as HH:MM, without surrounding parentheses or field labels. Include the train name and number, separated by one space (e.g., HIKARI 635). Preserve seat separators (e.g., 3-A).\\n\\nPreserve text as printed or handwritten, joining line breaks within a field with spaces. Do not infer missing information or translate. Include every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "ce37d2cc967346dd472bb55e05ad40c9a6a98ccc5b0f5cc5b6fde11e18fbaac2", "category": "structured", "subset": "69f8a78c51c95b60", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "b72f7dc593972765ff9038840ccdb435b7850ddbb938a7c33a4dfa631a3b7648", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract journey information from this railway ticket. Return only a valid JSON object with this structure:\n\n{\n \"departure_station\": null,\n \"arrival_station\": null,\n \"travel_date\": null,\n \"departure_time\": null,\n \"arrival_time\": null,\n \"train\": null,\n \"carriage\": null,\n \"seat\": null\n}\n\nUse printed Latin-script station and train names where available. Copy the travel date, not the issue date; do not add an unprinted year. Write the abbreviated month and day without spaces (e.g., OCT.18), and use \u00b7 for a middle dot. Return times as HH:MM, without surrounding parentheses or field labels. Include the train name and number, separated by one space (e.g., HIKARI 635). Preserve seat separators (e.g., 3-A).\n\nPreserve text as printed or handwritten, joining line breaks within a field with spaces. Do not infer missing information or translate. Include every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 0.875, "status": "ok", "format_compliant": true, "matched_fields": 7, "reference_fields": 8, "predicted_fields": 8, "non_null_field_accuracy": 0.875, "object_exact_match": false, "attempts": 1, "retries": 0, "total_seconds": 3.6816}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 519, "image": "image_fc778f72e3169d090f8edcb7_jpg.rf.3f023fd43a355ed80d326abf00aa5c1d.jpg", "expected": "55", "predicted": "26", "correct": false, "input_tokens": 1146, "output_tokens": 6, "elapsed_seconds": 4.0666465000249445, "metadata": {"question": "{\"question\": \"Read the basketball jersey number visible in this image. Return only the number as a string of digits. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "59fb33a55e6a5d7eb24ad5b0c7a1478ab62969d617511b62db3923250aa25991", "category": "single_string", "subset": "c88e91da6c946745", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "874ba5764be63c51cb0b50f5c47cd9abd52d9f85b5d5e24305acd488406b4cb7", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the basketball jersey number visible in this image. Return only the number as a string of digits. Do not explain.", "match_method": "single_string", "score": 0.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 4.0714}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 520, "image": "image_840560da1c0daf9fb1904771_jpg.rf.6d225e11e160552b8e79d1d71e6d2d42.jpg", "expected": "01053765", "predicted": "01053765", "correct": true, "input_tokens": 1125, "output_tokens": 12, "elapsed_seconds": 10.381429667002521, "metadata": {"question": "{\"question\": \"Read the serial number printed on the e-pass tag. Return only the serial number, preserving letters and leading zeros. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "2d42edf8d1f36250b8de36d8b7a9073c95e8bc9c5aaa0c379f863799436db785", "category": "single_string", "subset": "d8762ffc9a8e6ed6", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "39814b5cd33c4cc35f802449ce50da4beb5e2c49adc51bec0c27c092ec6f7e6a", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the serial number printed on the e-pass tag. Return only the serial number, preserving letters and leading zeros. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 10.9395}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 521, "image": "image_8dcbfedf3ffd2f7e0a638f75_jpg.rf.8d87d5361d2c42f44b3594fa09901925.jpg", "expected": "97.1", "predicted": "97.1", "correct": true, "input_tokens": 1131, "output_tokens": 8, "elapsed_seconds": 6.547964375000447, "metadata": {"question": "{\"question\": \"Read the main temperature value shown on the thermometer display. Return only the numeric reading, preserving the decimal point and trailing zeros. Exclude units and icons. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "133b2a235a15b59ce8ddcc042f29719ad2a42a194fe686c28b5441f57813e0b0", "category": "single_string", "subset": "86f51b3c3dae6d11", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "4549310ea00b0f6f93b192836ba8d3e57dd7795f99cce74a091ae1c63f87175d", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the main temperature value shown on the thermometer display. Return only the numeric reading, preserving the decimal point and trailing zeros. Exclude units and icons. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 6.8682}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 522, "image": "image_8849fdffc4cbecd08d57a562_jpg.rf.5103dd9be456c3dae79affa51939ab6f.jpg", "expected": "{\"carrier\":\"FedEx\",\"tracking_number\":\"787476737919\",\"sender_name\":\"Shipping Department Target.com\",\"sender_address\":\"249 County Line Rd Amityville NY 11701 US\",\"recipient_name\":\"Ashley Graham\",\"recipient_address\":\"18500 Cove Creek Dr Moseley VA 23120 (US)\",\"shipping_service\":\"Home Delivery\",\"weight\":\"27.00 LB\"}", "predicted": "{\n \"carrier\": \"FedEx\",\n \"tracking_number\": \"787476737919\",\n \"sender_name\": \"Shipping Department Target.com\",\n \"sender_address\": \"249 County Line Rd Amityville NY 11701 US\",\n \"recipient_name\": \"Ashley Graham\",\n \"recipient_address\": \"18500 Cove Creek Dr Moseley VA 23120\",\n \"shipping_service\": \"Home Delivery\",\n \"weight\": \"27.00 LB\"\n}", "correct": false, "input_tokens": 1366, "output_tokens": 137, "elapsed_seconds": 3.429572334047407, "metadata": {"question": "{\"question\": \"Extract the information printed on this shipping label. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"carrier\\\": null,\\n \\\"tracking_number\\\": null,\\n \\\"sender_name\\\": null,\\n \\\"sender_address\\\": null,\\n \\\"recipient_name\\\": null,\\n \\\"recipient_address\\\": null,\\n \\\"shipping_service\\\": null,\\n \\\"weight\\\": null\\n}\\n\\nIgnore accompanying paperwork. Keep company and department lines in names, not addresses; exclude phone numbers. Return tracking_number without spaces (e.g., \u201c7885 0040 8757\u201d \u2192 \u201c788500408757\u201d). Omit the carrier from shipping_service (e.g., \u201cFedEx Home Delivery\u201d \u2192 \u201cHome Delivery\u201d). Retain weight units and printed country information in addresses.\\n\\nPreserve all other text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "54666f99b2274d9251520f15442c79c3b0ed891375092d66a63f234f20d1f4e7", "category": "structured", "subset": "ccd97de2b96725a9", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "0e86eea3880eed4221d763a10a042df3619c66c03a8cdae21881a3b3b3fb8ab6", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on this shipping label. Return only a valid JSON object with these fields:\n\n{\n \"carrier\": null,\n \"tracking_number\": null,\n \"sender_name\": null,\n \"sender_address\": null,\n \"recipient_name\": null,\n \"recipient_address\": null,\n \"shipping_service\": null,\n \"weight\": null\n}\n\nIgnore accompanying paperwork. Keep company and department lines in names, not addresses; exclude phone numbers. Return tracking_number without spaces (e.g., \u201c7885 0040 8757\u201d \u2192 \u201c788500408757\u201d). Omit the carrier from shipping_service (e.g., \u201cFedEx Home Delivery\u201d \u2192 \u201cHome Delivery\u201d). Retain weight units and printed country information in addresses.\n\nPreserve all other text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 0.875, "status": "ok", "format_compliant": true, "matched_fields": 7, "reference_fields": 8, "predicted_fields": 8, "non_null_field_accuracy": 0.875, "object_exact_match": false, "attempts": 1, "retries": 0, "total_seconds": 3.4566}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 523, "image": "image_bee1920312c914feccd4f64e_jpg.rf.cbc61b54078154c80f0db65c2eaa75ea.jpg", "expected": "[{\"bbox\":[77,25,269,76],\"text\":\"breaking dawn\"},{\"bbox\":[52,444,299,459],\"text\":\"STEPHENIE MEYER\"},{\"bbox\":[52,467,299,478],\"text\":\"AUTHOR OF THE #1 BESTSELLING TWILIGHT, NEW MOON, AND ECLIPSE\"}]", "predicted": "[{\"box_2d\": [50, 232, 152, 792], \"text\": \"breaking dawn\"}, {\"box_2d\": [892, 157, 915, 876], \"text\": \"STEPHENIE MEYER\"}, {\"box_2d\": [935, 155, 954, 878], \"text\": \"AUTHOR OF THE #1 BESTSELLING TWILIGHT, NEW MOON, AND ECLIPSE\"}]", "correct": true, "input_tokens": 1299, "output_tokens": 123, "elapsed_seconds": 3.5941800411092117, "metadata": {"question": "{\"question\": \"Locate and transcribe all visible text on this book cover, including title, author, publisher and promotional text.\", \"specification\": \"Use one box per text line. Return plain text, not LaTeX.\\n\\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Do not include explanations or Markdown.\", \"task\": \"localization_recognition\"}", "sample_id": "86dd7c8cc7c34370d7de13cd3780e17286f0ac400af9d08f764435c9a615b3c7", "category": "localization_recognition", "subset": "658c0e5b4d5e48ce", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "8f324c05754be31a92b9405f085a2f100a37321544b4c523b68c8ec877634380", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe all visible text on this book cover, including title, author, publisher and promotional text.\n\nUse one box per text line. Return plain text, not LaTeX.\n\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Do not include explanations or Markdown.\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 1.0, "status": "ok", "format_compliant": true, "detection_f1": 1.0, "matched_regions": 3, "reference_regions": 3, "predicted_regions": 3, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 3.6031}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 524, "image": "image_da2caa60803f1fed27c57da5_jpg.rf.2a2cd5ac9378158a088bfc4b477037a6.jpg", "expected": "[{\"bbox\":[312,648,401,719],\"text\":\"T\"},{\"bbox\":[452,665,540,749],\"text\":\"O\"},{\"bbox\":[590,668,681,747],\"text\":\"Y\"},{\"bbox\":[839,707,927,780],\"text\":\"F\"},{\"bbox\":[285,794,378,869],\"text\":\"E\"},{\"bbox\":[693,828,789,910],\"text\":\"B\"},{\"bbox\":[843,853,941,932],\"text\":\"E\"},{\"bbox\":[982,882,1082,967],\"text\":\"N\"},{\"bbox\":[1128,898,1223,970],\"text\":\"T\"},{\"bbox\":[256,926,347,1007],\"text\":\"V\"},{\"bbox\":[1421,948,1523,1037],\"text\":\"H\"},{\"bbox\":[397,969,489,1052],\"text\":\"A\"},{\"bbox\":[531,976,628,1060],\"text\":\"N\"},{\"bbox\":[807,1019,896,1049],\"text\":\"I\"},{\"bbox\":[1099,1048,1198,1128],\"text\":\"E\"},{\"bbox\":[1392,1094,1491,1178],\"text\":\"U\"},{\"bbox\":[489,1124,579,1200],\"text\":\"U\"},{\"bbox\":[782,1141,877,1221],\"text\":\"H\"},{\"bbox\":[1066,1200,1153,1263],\"text\":\"J\"},{\"bbox\":[1207,1221,1304,1307],\"text\":\"A\"},{\"bbox\":[1350,1247,1447,1334],\"text\":\"D\"},{\"bbox\":[1514,1250,1614,1331],\"text\":\"E\"},{\"bbox\":[477,1275,563,1345],\"text\":\"F\"},{\"bbox\":[622,1285,714,1369],\"text\":\"A\"},{\"bbox\":[769,1290,862,1362],\"text\":\"T\"},{\"bbox\":[1476,1401,1569,1482],\"text\":\"D\"},{\"bbox\":[1315,1521,1419,1622],\"text\":\"M\"},{\"bbox\":[1470,1552,1567,1638],\"text\":\"A\"},{\"bbox\":[1614,1573,1715,1657],\"text\":\"N\"},{\"bbox\":[1763,1587,1860,1670],\"text\":\"Y\"},{\"bbox\":[1436,1713,1533,1773],\"text\":\"L\"},{\"bbox\":[1424,1842,1517,1928],\"text\":\"G\"},{\"bbox\":[1869,1858,1969,1974],\"text\":\"W\"},{\"bbox\":[1724,1868,1818,1954],\"text\":\"O\"},{\"bbox\":[1574,1869,1670,1929],\"text\":\"L\"},{\"bbox\":[1850,2033,1947,2107],\"text\":\"E\"},{\"bbox\":[1842,2183,1940,2265],\"text\":\"R\"},{\"bbox\":[1812,2326,1908,2414],\"text\":\"G\"},{\"bbox\":[1961,2354,2063,2437],\"text\":\"R\"},{\"bbox\":[2137,2375,2239,2463],\"text\":\"A\"},{\"bbox\":[2308,2394,2409,2475],\"text\":\"Z\"},{\"bbox\":[2472,2400,2574,2478],\"text\":\"E\"},{\"bbox\":[2465,2553,2567,2634],\"text\":\"S\"},{\"bbox\":[2288,2696,2384,2776],\"text\":\"P\"},{\"bbox\":[2451,2732,2549,2762],\"text\":\"I\"},{\"bbox\":[2422,2865,2527,2950],\"text\":\"R\"},{\"bbox\":[2581,2890,2683,2973],\"text\":\"U\"},{\"bbox\":[2743,2915,2845,3006],\"text\":\"G\"},{\"bbox\":[2712,3065,2813,3156],\"text\":\"O\"},{\"bbox\":[2683,3226,2781,3311],\"text\":\"F\"}]", "predicted": "[{\"box_2d\": [159, 102, 180, 134], \"text\": \"T\"}, {\"box_2d\": [163, 148, 185, 180], \"text\": \"O\"}, {\"box_2d\": [166, 194, 186, 226], \"text\": \"Y\"}, {\"box_2d\": [174, 280, 194, 311], \"text\": \"F\"}, {\"box_2d\": [196, 94, 217, 127], \"text\": \"E\"}, {\"box_2d\": [203, 229, 224, 261], \"text\": \"B\"}, {\"box_2d\": [210, 278, 232, 312], \"text\": \"E\"}, {\"box_2d\": [219, 326, 240, 359], \"text\": \"N\"}, {\"box_2d\": [224, 373, 245, 405], \"text\": \"T\"}, {\"box_2d\": [230, 84, 249, 117], \"text\": \"V\"}, {\"box_2d\": [240, 129, 259, 162], \"text\": \"A\"}, {\"box_2d\": [234, 469, 256, 502], \"text\": \"H\"}, {\"box_2d\": [242, 177, 262, 211], \"text\": \"N\"}, {\"box_2d\": [254, 270, 260, 297], \"text\": \"I\"}, {\"box_2d\": [259, 363, 280, 396], \"text\": \"E\"}, {\"box_2d\": [278, 164, 299, 193], \"text\": \"U\"}, {\"box_2d\": [283, 259, 304, 292], \"text\": \"H\"}, {\"box_2d\": [271, 459, 292, 491], \"text\": \"U\"}, {\"box_2d\": [298, 353, 313, 381], \"text\": \"J\"}, {\"box_2d\": [304, 400, 323, 433], \"text\": \"A\"}, {\"box_2d\": [317, 159, 335, 190], \"text\": \"F\"}, {\"box_2d\": [319, 206, 338, 240], \"text\": \"A\"}, {\"box_2d\": [310, 449, 330, 480], \"text\": \"D\"}, {\"box_2d\": [310, 499, 331, 533], \"text\": \"E\"}, {\"box_2d\": [321, 255, 341, 287], \"text\": \"T\"}, {\"box_2d\": [349, 490, 369, 521], \"text\": \"D\"}, {\"box_2d\": [377, 434, 403, 468], \"text\": \"M\"}, {\"box_2d\": [387, 484, 406, 517], \"text\": \"A\"}, {\"box_2d\": [389, 532, 411, 567], \"text\": \"N\"}, {\"box_2d\": [395, 583, 415, 616], \"text\": \"Y\"}, {\"box_2d\": [423, 476, 441, 506], \"text\": \"L\"}, {\"box_2d\": [456, 471, 479, 502], \"text\": \"G\"}, {\"box_2d\": [460, 518, 479, 549], \"text\": \"L\"}, {\"box_2d\": [462, 568, 484, 601], \"text\": \"O\"}, {\"box_2d\": [461, 617, 490, 653], \"text\": \"W\"}, {\"box_2d\": [504, 612, 525, 646], \"text\": \"E\"}, {\"box_2d\": [540, 608, 562, 641], \"text\": \"R\"}, {\"box_2d\": [577, 600, 600, 631], \"text\": \"G\"}, {\"box_2d\": [584, 649, 606, 682], \"text\": \"R\"}, {\"box_2d\": [591, 706, 611, 740], \"text\": \"A\"}, {\"box_2d\": [595, 761, 616, 797], \"text\": \"Z\"}, {\"box_2d\": [595, 816, 616, 851], \"text\": \"E\"}, {\"box_2d\": [633, 813, 654, 847], \"text\": \"S\"}, {\"box_2d\": [669, 756, 689, 788], \"text\": \"P\"}, {\"box_2d\": [676, 809, 683, 840], \"text\": \"I\"}, {\"box_2d\": [711, 801, 732, 835], \"text\": \"R\"}, {\"box_2d\": [717, 854, 738, 886], \"text\": \"U\"}, {\"box_2d\": [721, 907, 744, 940], \"text\": \"G\"}, {\"box_2d\": [761, 895, 784, 928], \"text\": \"O\"}, {\"box_2d\": [800, 886, 820, 920], \"text\": \"F\"}]", "correct": true, "input_tokens": 1301, "output_tokens": 1602, "elapsed_seconds": 20.870619041030295, "metadata": {"question": "{\"question\": \"Locate and transcribe the large letter on every visible letter tile.\", \"specification\": \"Use one tight box around each letter, not the tile boundary; keep adjacent tiles separate. Include rotated letters; exclude point values, blank tiles and background text. Return plain text, not LaTeX.\\n\\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\", \"task\": \"localization_recognition\"}", "sample_id": "a8c3a555c48b1fe7b87dc72084d72472d953b033756a5187e853fd26ca3ea85b", "category": "localization_recognition", "subset": "c7e0eb346c8e2ba1", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "26df4b81b64135c7529a5a1cffc157d4bd879c27ca331c88c7666aff818ad48c", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe the large letter on every visible letter tile.\n\nUse one tight box around each letter, not the tile boundary; keep adjacent tiles separate. Include rotated letters; exclude point values, blank tiles and background text. Return plain text, not LaTeX.\n\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 1.0, "status": "ok", "format_compliant": true, "detection_f1": 1.0, "matched_regions": 50, "reference_regions": 50, "predicted_regions": 50, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 21.4236}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 525, "image": "image_da2caa60803f1fed27c57da5_jpg.rf.2a2cd5ac9378158a088bfc4b477037a6.jpg", "expected": "BENT\nDUH\nFAT\nFOG\nFUN\nGLADE\nGLOW\nGRAZE\nGREW\nJADE\nJET\nMANY\nPI\nRISE\nRUG\nTHIEF\nTOY\nVAN\nVET", "predicted": "BENT\nDUH\nFAT\nFOG\nFUN\nGLADE\nGLOW\nGRAZE\nGREW\nJADE\nJET\nMANY\nPRIZE\nRISE\nRUG\nTHIEF\nTOY\nVAN\nVET", "correct": false, "input_tokens": 1172, "output_tokens": 52, "elapsed_seconds": 10.969967916957103, "metadata": {"question": "{\"question\": \"Read all words formed by the letter tiles, including rotated words. Include only words valid in the Merriam-Webster Official Scrabble Players Dictionary. Return them in uppercase, one word per line, in alphabetical order. Preserve spelling and repeated words; do not correct or rearrange letters to make valid words. Ignore isolated letters and background text. Return only the words, without explanations or Markdown.\", \"task\": \"transcription\"}", "sample_id": "774445bcb26de145f36fa9bbdb3b5721d6070f80ad7b73c2ac1f7ab8cfe4a0ca", "category": "transcription", "subset": "1b7d212231bfff95", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "26df4b81b64135c7529a5a1cffc157d4bd879c27ca331c88c7666aff818ad48c", "text_protocol": "mixed-text-v2", "scoring_profile": "transcription", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read all words formed by the letter tiles, including rotated words. Include only words valid in the Merriam-Webster Official Scrabble Players Dictionary. Return them in uppercase, one word per line, in alphabetical order. Preserve spelling and repeated words; do not correct or rearrange letters to make valid words. Ignore isolated letters and background text. Return only the words, without explanations or Markdown.", "match_method": "transcription", "score": 0.9663, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 11.5279}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 526, "image": "image_60d860f5bbd0696343c3457e_jpg.rf.63fd81b9d496c3bb24f1ff9c6382eabe.jpg", "expected": "[{\"bbox\":[1128,149,1243,260],\"text\":\"O\"},{\"bbox\":[1719,273,1846,372],\"text\":\"E\"},{\"bbox\":[1520,286,1643,401],\"text\":\"R\"},{\"bbox\":[1325,314,1445,413],\"text\":\"U\"},{\"bbox\":[1124,348,1243,445],\"text\":\"S\"},{\"bbox\":[1702,485,1828,575],\"text\":\"L\"},{\"bbox\":[1705,693,1829,779],\"text\":\"F\"},{\"bbox\":[785,726,894,835],\"text\":\"A\"},{\"bbox\":[963,744,1074,848],\"text\":\"D\"},{\"bbox\":[615,767,719,862],\"text\":\"B\"},{\"bbox\":[1338,905,1457,1022],\"text\":\"X\"},{\"bbox\":[1712,918,1838,950],\"text\":\"I\"},{\"bbox\":[950,937,1065,1048],\"text\":\"A\"},{\"bbox\":[1726,1078,1851,1198],\"text\":\"R\"},{\"bbox\":[1525,1099,1648,1197],\"text\":\"E\"},{\"bbox\":[1140,1113,1255,1209],\"text\":\"T\"},{\"bbox\":[1328,1115,1448,1211],\"text\":\"E\"},{\"bbox\":[950,1136,1067,1234],\"text\":\"S\"},{\"bbox\":[1140,1309,1257,1408],\"text\":\"U\"},{\"bbox\":[1715,1477,1839,1584],\"text\":\"D\"},{\"bbox\":[1320,1512,1437,1605],\"text\":\"E\"},{\"bbox\":[1513,1512,1634,1607],\"text\":\"E\"},{\"bbox\":[1130,1516,1243,1609],\"text\":\"P\"},{\"bbox\":[1502,1710,1625,1815],\"text\":\"N\"},{\"bbox\":[1299,1848,1427,1965],\"text\":\"Q\"},{\"bbox\":[1499,1953,1621,1980],\"text\":\"I\"},{\"bbox\":[1474,2110,1597,2225],\"text\":\"V\"},{\"bbox\":[2097,2118,2232,2235],\"text\":\"Y\"},{\"bbox\":[1882,2123,2013,2236],\"text\":\"R\"},{\"bbox\":[1673,2126,1802,2246],\"text\":\"A\"},{\"bbox\":[2102,2355,2236,2472],\"text\":\"R\"},{\"bbox\":[2568,2364,2716,2476],\"text\":\"S\"},{\"bbox\":[1484,2554,1611,2657],\"text\":\"S\"},{\"bbox\":[2125,2571,2262,2697],\"text\":\"A\"},{\"bbox\":[2583,2581,2730,2709],\"text\":\"G\"},{\"bbox\":[1502,2762,1625,2864],\"text\":\"T\"},{\"bbox\":[1711,2777,1839,2893],\"text\":\"R\"},{\"bbox\":[1921,2801,2054,2903],\"text\":\"E\"},{\"bbox\":[2141,2801,2277,2905],\"text\":\"E\"},{\"bbox\":[2583,2813,2727,2921],\"text\":\"U\"},{\"bbox\":[1093,2963,1210,3063],\"text\":\"E\"},{\"bbox\":[1489,2977,1612,3077],\"text\":\"E\"},{\"bbox\":[2133,2983,2271,3151],\"text\":\"W\"},{\"bbox\":[2359,3036,2497,3142],\"text\":\"E\"},{\"bbox\":[2594,3042,2741,3149],\"text\":\"B\"},{\"bbox\":[1479,3177,1604,3296],\"text\":\"V\"},{\"bbox\":[1090,3181,1206,3263],\"text\":\"L\"},{\"bbox\":[1684,3205,1813,3306],\"text\":\"E\"},{\"bbox\":[1281,3212,1401,3243],\"text\":\"I\"},{\"bbox\":[888,3355,1001,3461],\"text\":\"H\"},{\"bbox\":[1082,3403,1200,3440],\"text\":\"I\"},{\"bbox\":[1092,3579,1207,3691],\"text\":\"R\"}]", "predicted": "[{\"box_2d\": [39, 369, 64, 412], \"text\": \"O\"},\n{\"box_2d\": [68, 569, 91, 610], \"text\": \"E\"},\n{\"box_2d\": [73, 502, 98, 543], \"text\": \"R\"},\n{\"box_2d\": [79, 439, 102, 479], \"text\": \"U\"},\n{\"box_2d\": [88, 372, 111, 412], \"text\": \"S\"},\n{\"box_2d\": [117, 565, 140, 608], \"text\": \"L\"},\n{\"box_2d\": [168, 564, 191, 606], \"text\": \"F\"},\n{\"box_2d\": [182, 260, 206, 297], \"text\": \"A\"},\n{\"box_2d\": [184, 319, 207, 357], \"text\": \"D\"},\n{\"box_2d\": [191, 203, 213, 239], \"text\": \"B\"},\n{\"box_2d\": [224, 568, 232, 609], \"text\": \"I\"},\n{\"box_2d\": [226, 442, 250, 483], \"text\": \"X\"},\n{\"box_2d\": [232, 316, 256, 355], \"text\": \"A\"},\n{\"box_2d\": [271, 571, 296, 613], \"text\": \"R\"},\n{\"box_2d\": [272, 505, 296, 544], \"text\": \"E\"},\n{\"box_2d\": [275, 440, 299, 479], \"text\": \"E\"},\n{\"box_2d\": [275, 379, 299, 417], \"text\": \"T\"},\n{\"box_2d\": [282, 314, 305, 353], \"text\": \"S\"},\n{\"box_2d\": [324, 378, 348, 417], \"text\": \"U\"},\n{\"box_2d\": [367, 569, 392, 609], \"text\": \"D\"},\n{\"box_2d\": [373, 499, 398, 540], \"text\": \"N\"},\n{\"box_2d\": [374, 437, 397, 476], \"text\": \"E\"},\n{\"box_2d\": [376, 374, 398, 412], \"text\": \"P\"},\n{\"box_2d\": [425, 498, 450, 538], \"text\": \"I\"},\n{\"box_2d\": [459, 429, 487, 471], \"text\": \"Q\"},\n{\"box_2d\": [482, 499, 489, 538], \"text\": \"I\"},\n{\"box_2d\": [525, 488, 551, 529], \"text\": \"V\"},\n{\"box_2d\": [526, 554, 554, 595], \"text\": \"A\"},\n{\"box_2d\": [527, 623, 554, 665], \"text\": \"R\"},\n{\"box_2d\": [528, 694, 553, 738], \"text\": \"Y\"},\n{\"box_2d\": [581, 691, 608, 738], \"text\": \"R\"},\n{\"box_2d\": [587, 849, 613, 898], \"text\": \"S\"},\n{\"box_2d\": [633, 490, 658, 532], \"text\": \"S\"},\n{\"box_2d\": [639, 696, 668, 743], \"text\": \"A\"},\n{\"box_2d\": [641, 853, 670, 902], \"text\": \"G\"},\n{\"box_2d\": [686, 496, 710, 538], \"text\": \"T\"},\n{\"box_2d\": [690, 567, 715, 609], \"text\": \"R\"},\n{\"box_2d\": [694, 636, 719, 679], \"text\": \"E\"},\n{\"box_2d\": [694, 709, 720, 753], \"text\": \"E\"},\n{\"box_2d\": [698, 854, 723, 902], \"text\": \"U\"},\n{\"box_2d\": [735, 362, 758, 400], \"text\": \"E\"},\n{\"box_2d\": [739, 491, 764, 533], \"text\": \"E\"},\n{\"box_2d\": [742, 706, 779, 753], \"text\": \"W\"},\n{\"box_2d\": [752, 780, 779, 827], \"text\": \"E\"},\n{\"box_2d\": [755, 857, 781, 906], \"text\": \"B\"},\n{\"box_2d\": [785, 358, 809, 399], \"text\": \"L\"},\n{\"box_2d\": [791, 490, 816, 532], \"text\": \"V\"},\n{\"box_2d\": [795, 558, 819, 600], \"text\": \"E\"},\n{\"box_2d\": [796, 424, 802, 464], \"text\": \"I\"},\n{\"box_2d\": [832, 294, 857, 333], \"text\": \"H\"},\n{\"box_2d\": [845, 359, 852, 399], \"text\": \"I\"},\n{\"box_2d\": [888, 361, 913, 400], \"text\": \"R\"}]", "correct": false, "input_tokens": 1301, "output_tokens": 1711, "elapsed_seconds": 22.358338250080124, "metadata": {"question": "{\"question\": \"Locate and transcribe the large letter on every visible letter tile.\", \"specification\": \"Use one tight box around each letter, not the tile boundary; keep adjacent tiles separate. Include rotated letters; exclude point values, blank tiles and background text. Return plain text, not LaTeX.\\n\\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\", \"task\": \"localization_recognition\"}", "sample_id": "3380ad716fc9b9a62c4387e1b87c627e7034b44c857ff750390d0dc66bf786b6", "category": "localization_recognition", "subset": "c7e0eb346c8e2ba1", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "721d7b6a6dacc3c6a4eab31c66e4501cc8413b4ee727c70de48b11bc0b540047", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe the large letter on every visible letter tile.\n\nUse one tight box around each letter, not the tile boundary; keep adjacent tiles separate. Include rotated letters; exclude point values, blank tiles and background text. Return plain text, not LaTeX.\n\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 0.9231, "status": "ok", "format_compliant": true, "detection_f1": 0.9615384615384616, "matched_regions": 48, "reference_regions": 52, "predicted_regions": 52, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 22.9031}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 527, "image": "image_60d860f5bbd0696343c3457e_jpg.rf.63fd81b9d496c3bb24f1ff9c6382eabe.jpg", "expected": "BAD\nBUGS\nEX\nHI\nLIVE\nPEED\nPUT\nQI\nRIFLE\nRILE\nSAD\nSO\nSTEER\nSURE\nTREE\nVARY\nVETS\nVINE\nWEARY\nWEB", "predicted": "BAD\nBUGS\nEX\nHI\nLIVE\nPEND\nPUT\nQI\nRIFLE\nRILE\nSAD\nSO\nSTEEPVE\nSURE\nTREW\nVARY\nVETS\nVINE\nWEARY\nWEB", "correct": false, "input_tokens": 1172, "output_tokens": 55, "elapsed_seconds": 10.204230166971684, "metadata": {"question": "{\"question\": \"Read all words formed by the letter tiles, including rotated words. Include only words valid in the Merriam-Webster Official Scrabble Players Dictionary. Return them in uppercase, one word per line, in alphabetical order. Preserve spelling and repeated words; do not correct or rearrange letters to make valid words. Ignore isolated letters and background text. Return only the words, without explanations or Markdown.\", \"task\": \"transcription\"}", "sample_id": "6688b168c02cece2263d5602407055dd2dd95a682f7b84415e4f9ef3b51f30f6", "category": "transcription", "subset": "1b7d212231bfff95", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "721d7b6a6dacc3c6a4eab31c66e4501cc8413b4ee727c70de48b11bc0b540047", "text_protocol": "mixed-text-v2", "scoring_profile": "transcription", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read all words formed by the letter tiles, including rotated words. Include only words valid in the Merriam-Webster Official Scrabble Players Dictionary. Return them in uppercase, one word per line, in alphabetical order. Preserve spelling and repeated words; do not correct or rearrange letters to make valid words. Ignore isolated letters and background text. Return only the words, without explanations or Markdown.", "match_method": "transcription", "score": 0.9457, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 10.7427}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 528, "image": "image_92ce55d4a54b5a8148bc564d_jpg.rf.447ecddf003f8cce302a40c9ad8bbb2a.jpg", "expected": "{\"issuing_authority\":\"TUZLA BELED\u0130YES\u0130\",\"approval_date\":\"12/02/2025\",\"document_number\":\"32/25\",\"permit_purpose\":\"Yap\u0131 Kullanma \u0130zni\",\"map_sheet_number\":null,\"block_number\":\"0\",\"parcel_number\":\"8226\",\"building_block_number\":\"B\",\"building_class\":\"III\",\"building_group\":\"B\",\"floors_below_road\":\"2\",\"floors_above_road\":\"4\",\"total_floors\":\"6\",\"building_construction_area\":\"5007,68\",\"all_buildings_construction_area\":\"71602,12\"}", "predicted": "{\n \"issuing_authority\": \"TUZLA BELED\u0130YES\u0130\",\n \"approval_date\": \"12/02/2025\",\n \"document_number\": \"32/25\",\n \"permit_purpose\": \"Yap\u0131 Kullanma \u0130zni\",\n \"map_sheet_number\": null,\n \"block_number\": \"0\",\n \"parcel_number\": \"8226\",\n \"building_block_number\": \"B\",\n \"building_class\": \"III\",\n \"building_group\": \"B\",\n \"floors_below_road\": \"2\",\n \"floors_above_road\": \"4\",\n \"total_floors\": \"6\",\n \"building_construction_area\": \"5007,68\",\n \"all_buildings_construction_area\": \"71602,12\"\n}", "correct": true, "input_tokens": 1477, "output_tokens": 212, "elapsed_seconds": 4.560160916065797, "metadata": {"question": "{\"question\": \"Extract these identification and building fields from the building-use permit. Return only a valid JSON object with this structure:\\n\\n{\\n \\\"issuing_authority\\\": null,\\n \\\"approval_date\\\": null,\\n \\\"document_number\\\": null,\\n \\\"permit_purpose\\\": null,\\n \\\"map_sheet_number\\\": null,\\n \\\"block_number\\\": null,\\n \\\"parcel_number\\\": null,\\n \\\"building_block_number\\\": null,\\n \\\"building_class\\\": null,\\n \\\"building_group\\\": null,\\n \\\"floors_below_road\\\": null,\\n \\\"floors_above_road\\\": null,\\n \\\"total_floors\\\": null,\\n \\\"building_construction_area\\\": null,\\n \\\"all_buildings_construction_area\\\": null\\n}\\n\\nUse approval date and document number from Belgenin onay tarihi and Belge no, not earlier construction licences. permit_purpose is the selected option under Belgenin verili\u015f amac\u0131. Map cadastral identifiers from Pafta No, Ada No, Parsel No and Blok No. Keep Yap\u0131 in\u015faat alan\u0131 separate from Toplam yap\u0131 in\u015faat alan\u0131; do not substitute the permitted-part area. Omit printed area units; preserve numeric separators and dates.\\n\\nFor handwritten entries completed on preprinted date templates, include the printed year prefix. Treat standalone asterisks, dashes and dotted placeholders as null; retain punctuation within actual document numbers.\\n\\nPreserve the text as written; join line breaks within a field with spaces. Do not infer missing information or translate. Use strings for extracted values and null for missing or unreadable fields. Include every key. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "4f3845db7ec37b9d512d6036b7c03cc31ea1e195b4d181ce5c5e7b534b2a3575", "category": "structured", "subset": "1ced26f23029a4b6", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "cd5afadf59e8a092cbbc33fa3de01c03a36042ddc640424427a2d24b7074e41e", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract these identification and building fields from the building-use permit. Return only a valid JSON object with this structure:\n\n{\n \"issuing_authority\": null,\n \"approval_date\": null,\n \"document_number\": null,\n \"permit_purpose\": null,\n \"map_sheet_number\": null,\n \"block_number\": null,\n \"parcel_number\": null,\n \"building_block_number\": null,\n \"building_class\": null,\n \"building_group\": null,\n \"floors_below_road\": null,\n \"floors_above_road\": null,\n \"total_floors\": null,\n \"building_construction_area\": null,\n \"all_buildings_construction_area\": null\n}\n\nUse approval date and document number from Belgenin onay tarihi and Belge no, not earlier construction licences. permit_purpose is the selected option under Belgenin verili\u015f amac\u0131. Map cadastral identifiers from Pafta No, Ada No, Parsel No and Blok No. Keep Yap\u0131 in\u015faat alan\u0131 separate from Toplam yap\u0131 in\u015faat alan\u0131; do not substitute the permitted-part area. Omit printed area units; preserve numeric separators and dates.\n\nFor handwritten entries completed on preprinted date templates, include the printed year prefix. Treat standalone asterisks, dashes and dotted placeholders as null; retain punctuation within actual document numbers.\n\nPreserve the text as written; join line breaks within a field with spaces. Do not infer missing information or translate. Use strings for extracted values and null for missing or unreadable fields. Include every key. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 15, "reference_fields": 15, "predicted_fields": 15, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 4.6059}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 529, "image": "image_a633a69aee97144cb36e5555_jpg.rf.3aaa5411311b54b532a6ddc33f7b65ae.jpg", "expected": "A015969", "predicted": "401598933B", "correct": false, "input_tokens": 1144, "output_tokens": 14, "elapsed_seconds": 4.599601666093804, "metadata": {"question": "{\"question\": \"Read the identification code on the utility pole tag. Return only the code, joining vertically stacked characters without spaces and preserving leading zeros and hyphens. Exclude labels such as POLE NO., timestamps and GPS/address overlays. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "4eb809d9541f0d2ece1aebe75a8321679bc818a4828dbae68afe2ec55a4fff3f", "category": "single_string", "subset": "cd97317d8ff518ba", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "3d6fc6649b0204180efc81a37a9ef8c3d23c61611158c812073b7f6828c3f3eb", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the identification code on the utility pole tag. Return only the code, joining vertically stacked characters without spaces and preserving leading zeros and hyphens. Exclude labels such as POLE NO., timestamps and GPS/address overlays. Do not explain.", "match_method": "single_string", "score": 0.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 4.8344}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 530, "image": "image_b09475eb05648c950bd742e7_jpg.rf.3d2b60d019fcce0e372ac96c68cc5020.jpg", "expected": "[{\"bbox\":[52,5,78,23],\"text\":\"79\"},{\"bbox\":[495,13,511,34],\"text\":\"1\"},{\"bbox\":[49,96,76,114],\"text\":\"80\"},{\"bbox\":[489,115,504,135],\"text\":\"2\"},{\"bbox\":[153,117,189,134],\"text\":\"CNA\"},{\"bbox\":[239,119,362,144],\"text\":\"ACM-109\"},{\"bbox\":[72,165,87,199],\"text\":\"R10\"},{\"bbox\":[400,166,426,184],\"text\":\"R3\"},{\"bbox\":[483,168,510,185],\"text\":\"R2\"},{\"bbox\":[261,177,279,211],\"text\":\"C18\"},{\"bbox\":[399,184,427,201],\"text\":\"R4\"},{\"bbox\":[483,184,503,200],\"text\":\"R1\"},{\"bbox\":[309,204,329,241],\"text\":\"EM5\"},{\"bbox\":[92,212,131,230],\"text\":\"R29\"},{\"bbox\":[458,220,483,237],\"text\":\"C5\"},{\"bbox\":[23,239,39,274],\"text\":\"R12\"},{\"bbox\":[72,245,89,275],\"text\":\"R11\"},{\"bbox\":[112,287,129,324],\"text\":\"R27\"},{\"bbox\":[146,287,162,324],\"text\":\"R28\"},{\"bbox\":[493,293,530,311],\"text\":\"C20\"},{\"bbox\":[29,296,65,316],\"text\":\"RM1\"},{\"bbox\":[290,298,316,315],\"text\":\"C7\"},{\"bbox\":[214,308,240,324],\"text\":\"C9\"},{\"bbox\":[32,328,53,341],\"text\":\"152\"},{\"bbox\":[220,357,246,372],\"text\":\"C8\"},{\"bbox\":[110,362,129,398],\"text\":\"EM2\"},{\"bbox\":[232,374,252,410],\"text\":\"C10\"},{\"bbox\":[309,390,327,416],\"text\":\"C6\"},{\"bbox\":[422,394,439,431],\"text\":\"C25\"},{\"bbox\":[163,400,200,418],\"text\":\"C15\"},{\"bbox\":[288,406,305,438],\"text\":\"C11\"},{\"bbox\":[329,566,369,583],\"text\":\"CNB\"},{\"bbox\":[77,567,105,584],\"text\":\"79\"},{\"bbox\":[485,575,495,593],\"text\":\"1\"},{\"bbox\":[499,638,556,663],\"text\":\"1349\"},{\"bbox\":[494,667,509,687],\"text\":\"2\"},{\"bbox\":[48,679,75,696],\"text\":\"80\"}]", "predicted": "[{\"box_2d\": [11, 93, 35, 136], \"text\": \"79\"}, {\"box_2d\": [23, 885, 48, 907], \"text\": \"1\"}, {\"box_2d\": [138, 90, 162, 135], \"text\": \"80\"}, {\"box_2d\": [166, 272, 190, 340], \"text\": \"CNA\"}, {\"box_2d\": [167, 875, 190, 898], \"text\": \"2\"}, {\"box_2d\": [174, 439, 206, 646], \"text\": \"ACM-109\"}, {\"box_2d\": [234, 129, 286, 159], \"text\": \"R10\"}, {\"box_2d\": [240, 716, 263, 761], \"text\": \"R3\"}, {\"box_2d\": [243, 862, 266, 907], \"text\": \"R2\"}, {\"box_2d\": [254, 471, 305, 502], \"text\": \"C18\"}, {\"box_2d\": [265, 716, 288, 761], \"text\": \"R4\"}, {\"box_2d\": [265, 862, 288, 904], \"text\": \"R1\"}, {\"box_2d\": [291, 553, 343, 584], \"text\": \"EM5\"}, {\"box_2d\": [306, 168, 329, 232], \"text\": \"R29\"}, {\"box_2d\": [314, 818, 338, 862], \"text\": \"C5\"}, {\"box_2d\": [341, 41, 393, 73], \"text\": \"R12\"}, {\"box_2d\": [346, 129, 394, 159], \"text\": \"R11\"}, {\"box_2d\": [410, 202, 463, 234], \"text\": \"R27\"}, {\"box_2d\": [411, 261, 463, 293], \"text\": \"R28\"}, {\"box_2d\": [420, 882, 444, 945], \"text\": \"C20\"}, {\"box_2d\": [426, 56, 449, 118], \"text\": \"RM1\"}, {\"box_2d\": [428, 521, 451, 566], \"text\": \"C7\"}, {\"box_2d\": [441, 385, 464, 430], \"text\": \"C9\"}, {\"box_2d\": [471, 61, 486, 95], \"text\": \"152\"}, {\"box_2d\": [509, 395, 533, 439], \"text\": \"C8\"}, {\"box_2d\": [517, 201, 569, 231], \"text\": \"EM2\"}, {\"box_2d\": [535, 418, 586, 449], \"text\": \"C10\"}, {\"box_2d\": [558, 553, 594, 584], \"text\": \"C6\"}, {\"box_2d\": [563, 753, 615, 785], \"text\": \"C25\"}, {\"box_2d\": [573, 295, 596, 360], \"text\": \"C15\"}, {\"box_2d\": [580, 514, 626, 545], \"text\": \"C11\"}, {\"box_2d\": [810, 141, 834, 187], \"text\": \"79\"}, {\"box_2d\": [810, 589, 833, 656], \"text\": \"CNB\"}, {\"box_2d\": [821, 868, 845, 888], \"text\": \"1\"}, {\"box_2d\": [914, 899, 945, 991], \"text\": \"1349\"}, {\"box_2d\": [952, 885, 976, 908], \"text\": \"2\"}, {\"box_2d\": [969, 87, 992, 132], \"text\": \"80\"}]", "correct": true, "input_tokens": 1303, "output_tokens": 1226, "elapsed_seconds": 10.882085042074323, "metadata": {"question": "{\"question\": \"Locate and transcribe all visible text on the circuit board and its components.\", \"specification\": \"Use one box per distinct marking; join lines within the same marking with single spaces. Exclude logos and non-text symbols. Return plain text, not LaTeX.\\n\\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Do not include explanations or Markdown.\", \"task\": \"localization_recognition\"}", "sample_id": "c6ae56b561cf8f5f317208f11fcabca01d00349aa4b5ded18bd4be0f971a938d", "category": "localization_recognition", "subset": "6594bb1ef85ebb84", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "12f2294e6d0509c02e6a431297e408238a20b20c4dbfd8c34b18caa3fe3a55df", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe all visible text on the circuit board and its components.\n\nUse one box per distinct marking; join lines within the same marking with single spaces. Exclude logos and non-text symbols. Return plain text, not LaTeX.\n\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Do not include explanations or Markdown.\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 1.0, "status": "ok", "format_compliant": true, "detection_f1": 1.0, "matched_regions": 37, "reference_regions": 37, "predicted_regions": 37, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 10.9105}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 531, "image": "image_2eaf1adb20009c3df472a7df_jpg.rf.ab64bf1635d01b6626f7da13cb93aee9.jpg", "expected": "{\"issuing_authority\":\"TUZLA BELED\u0130YES\u0130\",\"approval_date\":\"12/02/2025\",\"document_number\":\"31/25\",\"permit_purpose\":\"Yap\u0131 Kullanma \u0130zni\",\"map_sheet_number\":null,\"block_number\":\"0\",\"parcel_number\":\"8226\",\"building_block_number\":\"C\",\"building_class\":\"III\",\"building_group\":\"B\",\"floors_below_road\":\"2\",\"floors_above_road\":\"4\",\"total_floors\":\"6\",\"building_construction_area\":\"4465,11\",\"all_buildings_construction_area\":\"71602,12\"}", "predicted": "{\n \"issuing_authority\": \"TUZLA BELED\u0130YES\u0130\",\n \"approval_date\": \"12/02/2025\",\n \"document_number\": \"31/25\",\n \"permit_purpose\": \"Yap\u0131 Kullanma \u0130zni\",\n \"map_sheet_number\": null,\n \"block_number\": \"0\",\n \"parcel_number\": \"8226\",\n \"building_block_number\": \"C\",\n \"building_class\": \"III\",\n \"building_group\": \"B\",\n \"floors_below_road\": \"2\",\n \"floors_above_road\": \"4\",\n \"total_floors\": \"6\",\n \"building_construction_area\": \"4465,11\",\n \"all_buildings_construction_area\": \"71602,12\"\n}", "correct": true, "input_tokens": 1477, "output_tokens": 212, "elapsed_seconds": 4.213929165969603, "metadata": {"question": "{\"question\": \"Extract these identification and building fields from the building-use permit. Return only a valid JSON object with this structure:\\n\\n{\\n \\\"issuing_authority\\\": null,\\n \\\"approval_date\\\": null,\\n \\\"document_number\\\": null,\\n \\\"permit_purpose\\\": null,\\n \\\"map_sheet_number\\\": null,\\n \\\"block_number\\\": null,\\n \\\"parcel_number\\\": null,\\n \\\"building_block_number\\\": null,\\n \\\"building_class\\\": null,\\n \\\"building_group\\\": null,\\n \\\"floors_below_road\\\": null,\\n \\\"floors_above_road\\\": null,\\n \\\"total_floors\\\": null,\\n \\\"building_construction_area\\\": null,\\n \\\"all_buildings_construction_area\\\": null\\n}\\n\\nUse approval date and document number from Belgenin onay tarihi and Belge no, not earlier construction licences. permit_purpose is the selected option under Belgenin verili\u015f amac\u0131. Map cadastral identifiers from Pafta No, Ada No, Parsel No and Blok No. Keep Yap\u0131 in\u015faat alan\u0131 separate from Toplam yap\u0131 in\u015faat alan\u0131; do not substitute the permitted-part area. Omit printed area units; preserve numeric separators and dates.\\n\\nFor handwritten entries completed on preprinted date templates, include the printed year prefix. Treat standalone asterisks, dashes and dotted placeholders as null; retain punctuation within actual document numbers.\\n\\nPreserve the text as written; join line breaks within a field with spaces. Do not infer missing information or translate. Use strings for extracted values and null for missing or unreadable fields. Include every key. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "a9be24d865a3c44b9eb95dcfc132c52af5afb9f00096a476797efd56c69240eb", "category": "structured", "subset": "1ced26f23029a4b6", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "ff6a4149deeec2be6d95f020f75e0ffa347bd62d4aa665383d63864c5a2a4424", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract these identification and building fields from the building-use permit. Return only a valid JSON object with this structure:\n\n{\n \"issuing_authority\": null,\n \"approval_date\": null,\n \"document_number\": null,\n \"permit_purpose\": null,\n \"map_sheet_number\": null,\n \"block_number\": null,\n \"parcel_number\": null,\n \"building_block_number\": null,\n \"building_class\": null,\n \"building_group\": null,\n \"floors_below_road\": null,\n \"floors_above_road\": null,\n \"total_floors\": null,\n \"building_construction_area\": null,\n \"all_buildings_construction_area\": null\n}\n\nUse approval date and document number from Belgenin onay tarihi and Belge no, not earlier construction licences. permit_purpose is the selected option under Belgenin verili\u015f amac\u0131. Map cadastral identifiers from Pafta No, Ada No, Parsel No and Blok No. Keep Yap\u0131 in\u015faat alan\u0131 separate from Toplam yap\u0131 in\u015faat alan\u0131; do not substitute the permitted-part area. Omit printed area units; preserve numeric separators and dates.\n\nFor handwritten entries completed on preprinted date templates, include the printed year prefix. Treat standalone asterisks, dashes and dotted placeholders as null; retain punctuation within actual document numbers.\n\nPreserve the text as written; join line breaks within a field with spaces. Do not infer missing information or translate. Use strings for extracted values and null for missing or unreadable fields. Include every key. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 15, "reference_fields": 15, "predicted_fields": 15, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 4.2662}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 532, "image": "image_6d5a4e0f139967521ae586ec_jpg.rf.ae351f9977ef2e39af4e3fc1f2c0e46b.jpg", "expected": "250116", "predicted": "250116", "correct": true, "input_tokens": 1143, "output_tokens": 10, "elapsed_seconds": 2.5859556660288945, "metadata": {"question": "{\"question\": \"Read the six-digit code engraved on the metal surface. Return only the code as a string of digits, preserving leading zeros. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "1d382c9380de59c3061885f00644570b86b5a5fb79c91a49e079fc27566d986b", "category": "single_string", "subset": "f2a87f15a0d3eb96", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "6463cf07b9b2d6a63267a9c9b5180f17dbee452db15ed069132506a315aed859", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the six-digit code engraved on the metal surface. Return only the code as a string of digits, preserving leading zeros. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 2.5956}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 533, "image": "image_37a9869b0f1e9f8edbdf1f86_jpg.rf.9b0071280b435199fd6c369a63a1bd1a.jpg", "expected": "[{\"bbox\":[544,319,672,454],\"text\":\"M\"},{\"bbox\":[601,522,637,646],\"text\":\"I\"},{\"bbox\":[606,716,718,845],\"text\":\"C\"},{\"bbox\":[798,922,953,1052],\"text\":\"W\"},{\"bbox\":[606,932,721,1057],\"text\":\"A\"},{\"bbox\":[1242,932,1354,1057],\"text\":\"C\"},{\"bbox\":[426,958,500,1081],\"text\":\"J\"},{\"bbox\":[2536,1085,2665,1218],\"text\":\"G\"},{\"bbox\":[2095,1099,2201,1236],\"text\":\"E\"},{\"bbox\":[1886,1120,1992,1253],\"text\":\"S\"},{\"bbox\":[1452,1138,1572,1269],\"text\":\"O\"},{\"bbox\":[1664,1139,1786,1271],\"text\":\"O\"},{\"bbox\":[1254,1144,1342,1272],\"text\":\"L\"},{\"bbox\":[807,1158,925,1292],\"text\":\"A\"},{\"bbox\":[2550,1294,2663,1430],\"text\":\"U\"},{\"bbox\":[1247,1356,1366,1487],\"text\":\"A\"},{\"bbox\":[807,1373,915,1507],\"text\":\"N\"},{\"bbox\":[1925,1373,2028,1505],\"text\":\"U\"},{\"bbox\":[639,1390,667,1517],\"text\":\"I\"},{\"bbox\":[2365,1515,2463,1647],\"text\":\"E\"},{\"bbox\":[2566,1518,2698,1652],\"text\":\"M\"},{\"bbox\":[2144,1560,2245,1694],\"text\":\"E\"},{\"bbox\":[1314,1567,1340,1697],\"text\":\"I\"},{\"bbox\":[1917,1590,2038,1722],\"text\":\"R\"},{\"bbox\":[851,1607,951,1738],\"text\":\"T\"},{\"bbox\":[1481,1799,1597,1926],\"text\":\"Y\"},{\"bbox\":[1061,1803,1174,1929],\"text\":\"R\"},{\"bbox\":[1960,1803,2062,1937],\"text\":\"E\"},{\"bbox\":[1266,1805,1389,1934],\"text\":\"M\"},{\"bbox\":[623,1825,782,1955],\"text\":\"W\"},{\"bbox\":[846,1825,977,1946],\"text\":\"O\"},{\"bbox\":[875,2027,982,2158],\"text\":\"N\"},{\"bbox\":[652,2042,772,2171],\"text\":\"O\"},{\"bbox\":[641,2255,771,2375],\"text\":\"O\"},{\"bbox\":[1060,2457,1180,2590],\"text\":\"G\"},{\"bbox\":[846,2464,976,2585],\"text\":\"O\"},{\"bbox\":[660,2470,744,2598],\"text\":\"L\"},{\"bbox\":[443,2476,539,2603],\"text\":\"B\"},{\"bbox\":[1069,2666,1190,2799],\"text\":\"O\"},{\"bbox\":[1087,2885,1188,3014],\"text\":\"T\"},{\"bbox\":[910,2886,942,3016],\"text\":\"I\"},{\"bbox\":[674,2889,775,3022],\"text\":\"Z\"},{\"bbox\":[1092,3098,1200,3228],\"text\":\"H\"}]", "predicted": "[{\"box_2d\": [77, 179, 111, 223], \"text\": \"M\"}, {\"box_2d\": [131, 198, 160, 211], \"text\": \"I\"}, {\"box_2d\": [178, 199, 209, 239], \"text\": \"C\"}, {\"box_2d\": [227, 263, 261, 316], \"text\": \"W\"}, {\"box_2d\": [230, 409, 262, 449], \"text\": \"C\"}, {\"box_2d\": [231, 201, 262, 238], \"text\": \"A\"}, {\"box_2d\": [236, 141, 269, 167], \"text\": \"J\"}, {\"box_2d\": [269, 839, 302, 882], \"text\": \"G\"}, {\"box_2d\": [273, 694, 306, 730], \"text\": \"E\"}, {\"box_2d\": [279, 622, 311, 658], \"text\": \"S\"}, {\"box_2d\": [283, 479, 316, 522], \"text\": \"O\"}, {\"box_2d\": [283, 550, 316, 593], \"text\": \"O\"}, {\"box_2d\": [284, 413, 316, 443], \"text\": \"L\"}, {\"box_2d\": [286, 266, 319, 307], \"text\": \"A\"}, {\"box_2d\": [321, 843, 355, 882], \"text\": \"U\"}, {\"box_2d\": [336, 412, 369, 452], \"text\": \"A\"}, {\"box_2d\": [339, 636, 372, 673], \"text\": \"U\"}, {\"box_2d\": [341, 266, 373, 304], \"text\": \"N\"}, {\"box_2d\": [344, 210, 377, 222], \"text\": \"I\"}, {\"box_2d\": [376, 848, 410, 892], \"text\": \"M\"}, {\"box_2d\": [377, 779, 410, 814], \"text\": \"E\"}, {\"box_2d\": [387, 434, 420, 445], \"text\": \"I\"}, {\"box_2d\": [387, 709, 419, 745], \"text\": \"E\"}, {\"box_2d\": [393, 633, 426, 675], \"text\": \"R\"}, {\"box_2d\": [398, 281, 431, 314], \"text\": \"T\"}, {\"box_2d\": [445, 488, 477, 526], \"text\": \"Y\"}, {\"box_2d\": [446, 353, 479, 391], \"text\": \"R\"}, {\"box_2d\": [447, 416, 480, 460], \"text\": \"M\"}, {\"box_2d\": [447, 648, 480, 683], \"text\": \"E\"}, {\"box_2d\": [449, 279, 482, 321], \"text\": \"O\"}, {\"box_2d\": [451, 206, 485, 258], \"text\": \"W\"}, {\"box_2d\": [502, 289, 535, 326], \"text\": \"N\"}, {\"box_2d\": [505, 216, 538, 257], \"text\": \"O\"}, {\"box_2d\": [557, 213, 589, 255], \"text\": \"O\"}, {\"box_2d\": [607, 350, 641, 391], \"text\": \"G\"}, {\"box_2d\": [609, 280, 642, 322], \"text\": \"O\"}, {\"box_2d\": [612, 219, 644, 248], \"text\": \"L\"}, {\"box_2d\": [613, 146, 645, 181], \"text\": \"B\"}, {\"box_2d\": [659, 352, 692, 394], \"text\": \"O\"}, {\"box_2d\": [715, 299, 747, 314], \"text\": \"I\"}, {\"box_2d\": [715, 359, 747, 393], \"text\": \"T\"}, {\"box_2d\": [716, 222, 748, 257], \"text\": \"Z\"}, {\"box_2d\": [767, 361, 800, 396], \"text\": \"H\"}]", "correct": true, "input_tokens": 1301, "output_tokens": 1379, "elapsed_seconds": 26.85531587502919, "metadata": {"question": "{\"question\": \"Locate and transcribe the large letter on every visible letter tile.\", \"specification\": \"Use one tight box around each letter, not the tile boundary; keep adjacent tiles separate. Include rotated letters; exclude point values, blank tiles and background text. Return plain text, not LaTeX.\\n\\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\", \"task\": \"localization_recognition\"}", "sample_id": "210e2e4e27fac2ba973648f8bba67b38e410a4ea1b089820b5caafefc7138193", "category": "localization_recognition", "subset": "c7e0eb346c8e2ba1", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "3fa3d79183e4f2ed671867aa2a3cea04dc6b66e839fa48ed07a95feebf67b576", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe the large letter on every visible letter tile.\n\nUse one tight box around each letter, not the tile boundary; keep adjacent tiles separate. Include rotated letters; exclude point values, blank tiles and background text. Return plain text, not LaTeX.\n\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 1.0, "status": "ok", "format_compliant": true, "detection_f1": 1.0, "matched_regions": 43, "reference_regions": 43, "predicted_regions": 43, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 27.3838}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 534, "image": "image_37a9869b0f1e9f8edbdf1f86_jpg.rf.9b0071280b435199fd6c369a63a1bd1a.jpg", "expected": "BLOG\nCLAIM\nGOTH\nGUM\nIN\nJAW\nLOOSE\nMICA\nON\nSURE\nWANTON\nWOOL\nWORMY\nZIT", "predicted": "BLOG\nCLAIM\nGOTH\nGUM\nIN\nJAW\nLOOSE\nMICA\nNO\nON\nSURE\nWANTON\nWOOL\nWORMY\nZIT", "correct": false, "input_tokens": 1172, "output_tokens": 42, "elapsed_seconds": 11.14537995797582, "metadata": {"question": "{\"question\": \"Read all words formed by the letter tiles, including rotated words. Include only words valid in the Merriam-Webster Official Scrabble Players Dictionary. Return them in uppercase, one word per line, in alphabetical order. Preserve spelling and repeated words; do not correct or rearrange letters to make valid words. Ignore isolated letters and background text. Return only the words, without explanations or Markdown.\", \"task\": \"transcription\"}", "sample_id": "2a828d6bf92e4235986a52fb8987b80a52036828d0a1da8cfba9985a14a60d35", "category": "transcription", "subset": "1b7d212231bfff95", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "3fa3d79183e4f2ed671867aa2a3cea04dc6b66e839fa48ed07a95feebf67b576", "text_protocol": "mixed-text-v2", "scoring_profile": "transcription", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read all words formed by the letter tiles, including rotated words. Include only words valid in the Merriam-Webster Official Scrabble Players Dictionary. Return them in uppercase, one word per line, in alphabetical order. Preserve spelling and repeated words; do not correct or rearrange letters to make valid words. Ignore isolated letters and background text. Return only the words, without explanations or Markdown.", "match_method": "transcription", "score": 0.9571, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 11.7119}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 535, "image": "image_bf512e5a6f55b18ec4d9da50_jpg.rf.807fd1283596880fdacf494ea0ebf6fe.jpg", "expected": "{\"grading_company\":\"PMG\",\"year\":null,\"denomination\":null,\"serial_number\":null,\"grade\":\"66\"}", "predicted": "{\n \"grading_company\": \"PMG\",\n \"year\": null,\n \"denomination\": null,\n \"serial_number\": null,\n \"grade\": null\n}", "correct": false, "input_tokens": 1359, "output_tokens": 47, "elapsed_seconds": 2.969317957991734, "metadata": {"question": "{\"question\": \"Extract the information printed on this graded banknote and its holder. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"grading_company\\\": null,\\n \\\"year\\\": null,\\n \\\"denomination\\\": null,\\n \\\"serial_number\\\": null,\\n \\\"grade\\\": null\\n}\\n\\nRead serial_number from the banknote and the other fields from the holder. Preserve serial letters, leading zeros and symbols, removing spaces. Return the numeric grade only (e.g., \u201c25 Very Fine\u201d \u2192 \u201c25\u201d).\\n\\nNormalize serial stars to * (e.g., \u201cD20005093\u2606\u201d \u2192 \u201cD20005093*\u201d); omit decorative end marks. Use explicit holder fields for year and denomination, excluding catalog codes. For multiple notes, use the uppermost.\\n\\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "0dce42b29d7127d26b040c1c0b7acabb7a50496f8ea2840ce214f86216068fcf", "category": "structured", "subset": "e95781a757393405", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "04e8f2030fedc9a2c9200583f2323ee33dd2b10fb537e01e12a211e739d1139d", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on this graded banknote and its holder. Return only a valid JSON object with these fields:\n\n{\n \"grading_company\": null,\n \"year\": null,\n \"denomination\": null,\n \"serial_number\": null,\n \"grade\": null\n}\n\nRead serial_number from the banknote and the other fields from the holder. Preserve serial letters, leading zeros and symbols, removing spaces. Return the numeric grade only (e.g., \u201c25 Very Fine\u201d \u2192 \u201c25\u201d).\n\nNormalize serial stars to * (e.g., \u201cD20005093\u2606\u201d \u2192 \u201cD20005093*\u201d); omit decorative end marks. Use explicit holder fields for year and denomination, excluding catalog codes. For multiple notes, use the uppermost.\n\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 0.8, "status": "ok", "format_compliant": true, "matched_fields": 4, "reference_fields": 5, "predicted_fields": 5, "non_null_field_accuracy": 0.5, "object_exact_match": false, "attempts": 1, "retries": 0, "total_seconds": 2.9886}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 536, "image": "image_af98fc138c480a95adf240d3_jpg.rf.8cb4152856621b541dc4c3dddf2caaf8.jpg", "expected": "0", "predicted": "0", "correct": true, "input_tokens": 1167, "output_tokens": 5, "elapsed_seconds": 3.0834827079670504, "metadata": {"question": "{\"question\": \"Read the weight shown on the digital scale in this image. Return only the numeric reading, preserving the decimal separator and any minus sign. Do not include units or explain.\", \"task\": \"single_string\"}", "sample_id": "f94b3adb9c5e95bf4d249e8f4d0331a43d67c5b28e9ac01f02d1fd34764ad558", "category": "single_string", "subset": "2230d8632391d9a6", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "2fc7956aa26c2ea966d060089b2d7dbd8292612a0cde24d20c018242e87e19bf", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the weight shown on the digital scale in this image. Return only the numeric reading, preserving the decimal separator and any minus sign. Do not include units or explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 3.167}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 537, "image": "image_13ce14c69c20559dc342bd6e_jpg.rf.4b924cc2a928826bb74167beebc8267d.jpg", "expected": "01831.9", "predicted": "01831.6", "correct": false, "input_tokens": 1135, "output_tokens": 11, "elapsed_seconds": 3.9631859590299428, "metadata": {"question": "{\"question\": \"Read the total mileage shown on the odometer in this image. Return only the numeric reading, preserving leading zeros and any decimal separator. Do not include the trip reading, units, or explain.\", \"task\": \"single_string\"}", "sample_id": "29488ea607b45f424a2903227df158d6df65aed0aeaf0266c44bd9503216bbaa", "category": "single_string", "subset": "12ff5ae87687aff8", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "694abd79d966776fc1d42be228879ba0bf2328f7f9fde9c427cdb0f4b0beddef", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the total mileage shown on the odometer in this image. Return only the numeric reading, preserving leading zeros and any decimal separator. Do not include the trip reading, units, or explain.", "match_method": "single_string", "score": 0.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 4.0578}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 538, "image": "image_191faade506f5b258e2b1596_png_jpg.rf.322ad44a8d4f09764acd061258e6742d.jpg", "expected": "{\"columns\":[null,null,\"UDIT RAJ\",\"YOGENDER CHANDOLIYA\",\"VIJAY BAUDDH\",\"K M KAJAL\",\"ADV. KRUPAL\",\"KHILKHILAKAR\",\"NAND RAM BAGRI\",\"NARESH KUMAR\",\"POOJA (BHAGTANI)\",\"PRAVEEN GAUTAM\",\"PREETI\",\"ADVOCATE DR. MAHENDER SINGH CHURIYANA\",\"RAJENDER SOOD\",\"SHYAM BHARTEEY\",\"ADVOCATE SATISH CHANDRA\",\"SUBHASH\",\"SURESH KUMAR\",\"SANJAY KUMAR SIWAL\",\"ADITI\",\"CHANDER PAL SONI\",\"NARESH KUMAR\",\"PARMENDRA MANJHI\",\"PUSHPA NAGRA\",\"PRADEEP KUMAR\",\"SATYA PRAKASH UTTRAKHANDI\",\"HARI KISHAN (MECHANIC)\",\"Total of Valid Votes\",\"No. Of Rejected Votes\",\"Votes for NOTA\",\"Total\",\"No. Of Tendered Votes\"],\"rows\":[[\"1\",\"1\",\"157\",\"272\",\"2\",\"2\",\"0\",\"1\",\"2\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"2\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"440\",\"0\",\"3\",\"443\",\"0\"],[\"2\",\"2\",\"267\",\"478\",\"2\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"1\",\"0\",\"2\",\"0\",\"1\",\"1\",\"0\",\"0\",\"0\",\"1\",\"0\",\"756\",\"0\",\"8\",\"764\",\"0\"],[\"3\",\"3\",\"235\",\"472\",\"3\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"1\",\"0\",\"3\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"718\",\"0\",\"6\",\"724\",\"0\"],[\"4\",\"4\",\"183\",\"461\",\"2\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"647\",\"0\",\"16\",\"663\",\"0\"],[\"5\",\"5\",\"302\",\"562\",\"3\",\"2\",\"0\",\"0\",\"0\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"1\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"875\",\"0\",\"7\",\"882\",\"0\"],[\"6\",\"6\",\"156\",\"383\",\"3\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"545\",\"0\",\"1\",\"546\",\"0\"],[\"7\",\"7\",\"190\",\"425\",\"4\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"1\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"624\",\"0\",\"3\",\"627\",\"0\"],[\"8\",\"8\",\"283\",\"590\",\"5\",\"0\",\"1\",\"0\",\"1\",\"0\",\"1\",\"1\",\"1\",\"0\",\"1\",\"1\",\"0\",\"0\",\"1\",\"2\",\"0\",\"2\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"891\",\"0\",\"10\",\"901\",\"0\"]]}", "predicted": "{\"columns\":[null,\"Serial No. Of Polling Station\",\"UDIT RAJ\",\"YOGENDER CHANDOLIYA\",\"VIJAY BAUDDH\",\"K M KAJAL\",\"ADV. KRUPAL\",\"KHILKHILAKAR\",\"NAND RAM BAGRI\",\"NARESH KUMAR\",\"POOJA (BHAGTANI)\",\"PRAVEEN GAUTAM\",\"PREETI\",\"ADVOCATE DR. MAHENDER SINGH CHURIYANA\",\"RAJENDER SOOD\",\"SHYAM BHARTEEY\",\"ADVOCATE SATISH CHANDRA\",\"SUBHASH\",\"SURESH KUMAR\",\"SANJAY KUMAR SIWAL\",\"ADITI\",\"CHANDER PAL SONI\",\"NARESH KUMAR\",\"PARMENDRA MANJHI\",\"PUSHPA NAGRA\",\"PRADEEP KUMAR\",\"SATYA PRAKASH UTTRAKHANDI\",\"HARI KISHAN (MECHANIC)\",\"Total of Valid Votes\",\"No. Of Rejected Votes\",\"Votes for NOTA\",\"Total\",\"No. Of Tendered Votes\"],\"rows\":[[\"1\",\"1\",\"157\",\"272\",\"2\",\"2\",\"0\",\"1\",\"2\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"2\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"440\",\"0\",\"3\",\"443\",\"0\"],[\"2\",\"2\",\"267\",\"478\",\"2\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"1\",\"0\",\"2\",\"0\",\"1\",\"1\",\"0\",\"0\",\"0\",\"1\",\"0\",\"756\",\"0\",\"8\",\"764\",\"0\"],[\"3\",\"3\",\"235\",\"472\",\"3\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"1\",\"0\",\"3\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"718\",\"0\",\"6\",\"724\",\"0\"],[\"4\",\"4\",\"183\",\"461\",\"2\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"647\",\"0\",\"16\",\"663\",\"0\"],[\"5\",\"5\",\"302\",\"562\",\"3\",\"2\",\"0\",\"0\",\"0\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"1\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"875\",\"0\",\"7\",\"882\",\"0\"],[\"6\",\"6\",\"156\",\"383\",\"3\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"545\",\"0\",\"1\",\"546\",\"0\"],[\"7\",\"7\",\"190\",\"425\",\"4\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"1\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"624\",\"0\",\"3\",\"627\",\"0\"],[\"8\",\"8\",\"283\",\"590\",\"5\",\"0\",\"1\",\"0\",\"1\",\"0\",\"1\",\"1\",\"1\",\"0\",\"1\",\"1\",\"0\",\"0\",\"1\",\"2\",\"0\",\"2\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"891\",\"0\",\"10\",\"901\",\"0\"]]}", "correct": false, "input_tokens": 1281, "output_tokens": 800, "elapsed_seconds": 8.666865499923006, "metadata": {"question": "{\"question\": \"Extract the election-results table from this image. Return only a valid JSON object with this structure:\\n\\n{\\n \\\"columns\\\": [],\\n \\\"rows\\\": []\\n}\\n\\nReturn every leaf column left-to-right, including row identifiers, candidate names and summary columns. Join multi-line column headings with spaces; omit shared spanning headings. Use null for a leaf column without its own heading; do not invent or duplicate a spanning heading. Return rows as arrays of cells aligned with columns, top-to-bottom, including any printed total rows. Preserve zeros, identifiers and printed symbols; use null for blank or unreadable cells, never 0. Do not calculate totals or fill values from neighboring cells. Each row must contain exactly one cell per column.\\n\\nPreserve text as printed or handwritten, joining line breaks within a field with spaces. Do not infer missing information or translate. Include every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "afe8b03e5dfde69fc7313008c87e5c31d3cd7aa0ea91391a00f6fd754700f324", "category": "structured", "subset": "632de14cb0143303", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "62552f487d368913658d3f8a38e0c0779d12052911fed57e1482fdac787c462d", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the election-results table from this image. Return only a valid JSON object with this structure:\n\n{\n \"columns\": [],\n \"rows\": []\n}\n\nReturn every leaf column left-to-right, including row identifiers, candidate names and summary columns. Join multi-line column headings with spaces; omit shared spanning headings. Use null for a leaf column without its own heading; do not invent or duplicate a spanning heading. Return rows as arrays of cells aligned with columns, top-to-bottom, including any printed total rows. Preserve zeros, identifiers and printed symbols; use null for blank or unreadable cells, never 0. Do not calculate totals or fill values from neighboring cells. Each row must contain exactly one cell per column.\n\nPreserve text as printed or handwritten, joining line breaks within a field with spaces. Do not infer missing information or translate. Include every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 0.9966, "status": "ok", "format_compliant": true, "matched_fields": 296, "reference_fields": 297, "predicted_fields": 297, "non_null_field_accuracy": 1.0, "object_exact_match": false, "attempts": 1, "retries": 0, "total_seconds": 8.7275}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 539, "image": "image_614c63d63474f16127c8387b_jpg.rf.042b6f3f94dbfd1b332fa1019ba0352f.jpg", "expected": "{\"issuing_authority\":\"TUZLA BELED\u0130YES\u0130\",\"approval_date\":\"12/02/2025\",\"document_number\":\"30/25\",\"permit_purpose\":\"Yap\u0131 Kullanma \u0130zni\",\"map_sheet_number\":null,\"block_number\":\"0\",\"parcel_number\":\"8226\",\"building_block_number\":\"P\",\"building_class\":\"III\",\"building_group\":\"B\",\"floors_below_road\":\"2\",\"floors_above_road\":\"4\",\"total_floors\":\"6\",\"building_construction_area\":\"5084,53\",\"all_buildings_construction_area\":\"71602,12\"}", "predicted": "{\n \"issuing_authority\": \"TUZLA BELED\u0130YES\u0130\",\n \"approval_date\": \"12/02/2025\",\n \"document_number\": \"30/25\",\n \"permit_purpose\": \"Yap\u0131 Kullanma \u0130zni\",\n \"map_sheet_number\": null,\n \"block_number\": \"0\",\n \"parcel_number\": \"8226\",\n \"building_block_number\": \"P\",\n \"building_class\": \"III\",\n \"building_group\": \"B\",\n \"floors_below_road\": \"2\",\n \"floors_above_road\": \"4\",\n \"total_floors\": \"6\",\n \"building_construction_area\": \"5084,53\",\n \"all_buildings_construction_area\": \"71602,12\"\n}", "correct": true, "input_tokens": 1477, "output_tokens": 212, "elapsed_seconds": 4.481821208959445, "metadata": {"question": "{\"question\": \"Extract these identification and building fields from the building-use permit. Return only a valid JSON object with this structure:\\n\\n{\\n \\\"issuing_authority\\\": null,\\n \\\"approval_date\\\": null,\\n \\\"document_number\\\": null,\\n \\\"permit_purpose\\\": null,\\n \\\"map_sheet_number\\\": null,\\n \\\"block_number\\\": null,\\n \\\"parcel_number\\\": null,\\n \\\"building_block_number\\\": null,\\n \\\"building_class\\\": null,\\n \\\"building_group\\\": null,\\n \\\"floors_below_road\\\": null,\\n \\\"floors_above_road\\\": null,\\n \\\"total_floors\\\": null,\\n \\\"building_construction_area\\\": null,\\n \\\"all_buildings_construction_area\\\": null\\n}\\n\\nUse approval date and document number from Belgenin onay tarihi and Belge no, not earlier construction licences. permit_purpose is the selected option under Belgenin verili\u015f amac\u0131. Map cadastral identifiers from Pafta No, Ada No, Parsel No and Blok No. Keep Yap\u0131 in\u015faat alan\u0131 separate from Toplam yap\u0131 in\u015faat alan\u0131; do not substitute the permitted-part area. Omit printed area units; preserve numeric separators and dates.\\n\\nFor handwritten entries completed on preprinted date templates, include the printed year prefix. Treat standalone asterisks, dashes and dotted placeholders as null; retain punctuation within actual document numbers.\\n\\nPreserve the text as written; join line breaks within a field with spaces. Do not infer missing information or translate. Use strings for extracted values and null for missing or unreadable fields. Include every key. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "5aa3438976effa400e4af2df36130bbda3b84e37735ac635fb43e5adbfa22ef6", "category": "structured", "subset": "1ced26f23029a4b6", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "74cb88355e9a6e5b7416a61153bd2711665c362f38b45b8b89b327bcd39ec6b7", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract these identification and building fields from the building-use permit. Return only a valid JSON object with this structure:\n\n{\n \"issuing_authority\": null,\n \"approval_date\": null,\n \"document_number\": null,\n \"permit_purpose\": null,\n \"map_sheet_number\": null,\n \"block_number\": null,\n \"parcel_number\": null,\n \"building_block_number\": null,\n \"building_class\": null,\n \"building_group\": null,\n \"floors_below_road\": null,\n \"floors_above_road\": null,\n \"total_floors\": null,\n \"building_construction_area\": null,\n \"all_buildings_construction_area\": null\n}\n\nUse approval date and document number from Belgenin onay tarihi and Belge no, not earlier construction licences. permit_purpose is the selected option under Belgenin verili\u015f amac\u0131. Map cadastral identifiers from Pafta No, Ada No, Parsel No and Blok No. Keep Yap\u0131 in\u015faat alan\u0131 separate from Toplam yap\u0131 in\u015faat alan\u0131; do not substitute the permitted-part area. Omit printed area units; preserve numeric separators and dates.\n\nFor handwritten entries completed on preprinted date templates, include the printed year prefix. Treat standalone asterisks, dashes and dotted placeholders as null; retain punctuation within actual document numbers.\n\nPreserve the text as written; join line breaks within a field with spaces. Do not infer missing information or translate. Use strings for extracted values and null for missing or unreadable fields. Include every key. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 15, "reference_fields": 15, "predicted_fields": 15, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 4.5291}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 540, "image": "image_0bf3885975387658b7964dcb_jpg.rf.2ab1b34ed5bcf0b93041abb022beddbf.jpg", "expected": "0.118", "predicted": "0.118", "correct": true, "input_tokens": 1167, "output_tokens": 9, "elapsed_seconds": 3.5373384170234203, "metadata": {"question": "{\"question\": \"Read the weight shown on the digital scale in this image. Return only the numeric reading, preserving the decimal separator and any minus sign. Do not include units or explain.\", \"task\": \"single_string\"}", "sample_id": "05f6a2df85c1b9ec32a8260eb7d6f8f1ed028edb2aa12cd506b17e349b168157", "category": "single_string", "subset": "2230d8632391d9a6", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "82cbac4f070503e046badb52e35ed34334d74f1b36dc5442b070d15cbfabb896", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the weight shown on the digital scale in this image. Return only the numeric reading, preserving the decimal separator and any minus sign. Do not include units or explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 3.6415}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 541, "image": "image_da5d052831d1da3125a37b20_jpg.rf.eab354ee1f9e3214cac29d1556923e2a.jpg", "expected": "{\"validity_period\":null,\"offers\":[{\"product_name\":\"POMODORO SAN MARZANO DOP SAPORI&DINTORNI CONAD\",\"price\":\"1,29 \u20ac\",\"price_basis\":null},{\"product_name\":\"PESTO FRESCO ALLA GENOVESE SAPORI&DINTORNI CONAD con basilico genovese dop\",\"price\":\"2,19 \u20ac\",\"price_basis\":null},{\"product_name\":\"BURRATA PUGLIESE SAPORI&DINTORNI CONAD lavorata a mano\",\"price\":\"2,75 \u20ac\",\"price_basis\":null},{\"product_name\":\"POMODORO CAMONE SAPORI&DINTORNI CONAD origine Italia, categoria I\",\"price\":\"1,79 \u20ac\",\"price_basis\":null},{\"product_name\":\"LINEA LEGUMI E CEREALI SAPORI&DINTORNI\",\"price\":null,\"price_basis\":null},{\"product_name\":\"VINO BARBARESCO DOCG TERREDAVINO\",\"price\":\"10,49 \u20ac\",\"price_basis\":null},{\"product_name\":\"OLIVE TAGGIASCHE CITRES in olio\",\"price\":\"2,59 \u20ac\",\"price_basis\":null}]}", "predicted": "{\"validity_period\": null, \"offers\": [{\"product_name\": \"POMODORO SAN MARZANO DOP SAPORI&DINTORNI CONAD\", \"price\": \"1,29 \u20ac\", \"price_basis\": null}, {\"product_name\": \"PESTO FRESCO ALLA GENOVESE SAPORI&DINTORNI CONAD\", \"price\": \"2,19 \u20ac\", \"price_basis\": null}, {\"product_name\": \"BURRATA PUGLIESE SAPORI&DINTORNI CONAD lavorata a mano\", \"price\": \"2,75 \u20ac\", \"price_basis\": null}, {\"product_name\": \"POMODORO CAMONE SAPORI&DINTORNI CONAD\", \"price\": \"1,79 \u20ac\", \"price_basis\": \"cestino\"}, {\"product_name\": \"LINEA LEGUMI E CEREALI SAPORI&DINTORNI\", \"price\": null, \"price_basis\": null}, {\"product_name\": \"VINO BARBARESCO DOCG TERREDAVINO\", \"price\": \"10,49 \u20ac\", \"price_basis\": null}, {\"product_name\": \"OLIVE TAGGIASCHE CITRES in olio\", \"price\": \"2,59 \u20ac\", \"price_basis\": null}]}", "correct": false, "input_tokens": 1428, "output_tokens": 288, "elapsed_seconds": 4.52807929192204, "metadata": {"question": "{\"question\": \"Extract the information printed on this retail leaflet page. Return only a valid JSON object with this structure:\\n\\n{\\n \\\"validity_period\\\": null,\\n \\\"offers\\\": [\\n {\\n \\\"product_name\\\": null,\\n \\\"price\\\": null,\\n \\\"price_basis\\\": null\\n }\\n ]\\n}\\n\\nReturn product blocks in visual rows, left-to-right. Use the printed product description, excluding variant lists and text only on pictured packaging. Include a separately printed brand above the description only if not already named there.\\n\\nUse the prominent advertised price, not previous or comparison prices. Join raised cents with a decimal comma; place any printed currency after the amount with one space (e.g., \u20ac4\u2079\u2079 \u2192 4,99 \u20ac). Do not infer currency or calculate prices. Keep ply counts in product_name. Put the selling basis in price_basis (al kg \u2192 /kg, al pz \u2192 /pz, confezione \u2192 confezione).\\n\\nUse only page-wide validity dates, without weekdays; an end-only date is allowed. Exclude unrestricted marketing slogans. Discount-only offers have price:null.\\n\\nPreserve text as printed, joining line breaks within a field with spaces. Do not infer missing information or translate. Include every key. Use strings for extracted values and null for missing or unreadable values; retain arrays as arrays. Return empty arrays when there are no entries. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "32eaa06b9b44c70763c04956b4332c263e1ff6e34c1975b4aeaccf6e139c696a", "category": "structured", "subset": "660e48d305d84282", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "6b0047daa6bf4eb9eec31a80c34adad2f8d1bfda92763253969f3cf328374164", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on this retail leaflet page. Return only a valid JSON object with this structure:\n\n{\n \"validity_period\": null,\n \"offers\": [\n {\n \"product_name\": null,\n \"price\": null,\n \"price_basis\": null\n }\n ]\n}\n\nReturn product blocks in visual rows, left-to-right. Use the printed product description, excluding variant lists and text only on pictured packaging. Include a separately printed brand above the description only if not already named there.\n\nUse the prominent advertised price, not previous or comparison prices. Join raised cents with a decimal comma; place any printed currency after the amount with one space (e.g., \u20ac4\u2079\u2079 \u2192 4,99 \u20ac). Do not infer currency or calculate prices. Keep ply counts in product_name. Put the selling basis in price_basis (al kg \u2192 /kg, al pz \u2192 /pz, confezione \u2192 confezione).\n\nUse only page-wide validity dates, without weekdays; an end-only date is allowed. Exclude unrestricted marketing slogans. Discount-only offers have price:null.\n\nPreserve text as printed, joining line breaks within a field with spaces. Do not infer missing information or translate. Include every key. Use strings for extracted values and null for missing or unreadable values; retain arrays as arrays. Return empty arrays when there are no entries. Do not include explanations or Markdown.", "match_method": "structured", "score": 0.8636, "status": "ok", "format_compliant": true, "matched_fields": 19, "reference_fields": 22, "predicted_fields": 22, "non_null_field_accuracy": 0.8461538461538461, "object_exact_match": false, "attempts": 1, "retries": 0, "total_seconds": 4.5721}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 542, "image": "image_c53ef46b79c3518d29d7eb57_png_jpg.rf.2cc01ff64cf75675d77501d6d6749bae.jpg", "expected": "{\"columns\":[null,null,\"UDIT RAJ\",\"YOGENDER CHANDOLIYA\",\"VIJAY BAUDDH\",\"K M KAJAL\",\"ADV. KRUPAL\",\"KHILKHILAKAR\",\"NAND RAM BAGRI\",\"NARESH KUMAR\",\"POOJA (BHAGTANI)\",\"PRAVEEN GAUTAM\",\"PREETI\",\"ADVOCATE DR. MAHENDER SINGH CHURIYANA\",\"RAJENDER SOOD\",\"SHYAM BHARTEEY\",\"ADVOCATE SATISH CHANDRA\",\"SUBHASH\",\"SURESH KUMAR\",\"SANJAY KUMAR SIWAL\",\"ADITI\",\"CHANDER PAL SONI\",\"NARESH KUMAR\",\"PARMENDRA MANJHI\",\"PUSHPA NAGRA\",\"PRADEEP KUMAR\",\"SATYA PRAKASH UTTRAKHANDI\",\"HARI KISHAN (MECHANIC)\",\"Total of Valid Votes\",\"No. Of Rejected Votes\",\"Votes for NOTA\",\"Total\",\"No. Of Tendered Votes\"],\"rows\":[[\"241\",\"241\",\"193\",\"314\",\"5\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"2\",\"1\",\"1\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"518\",\"0\",\"1\",\"519\",\"0\"],[\"242\",\"242\",\"192\",\"376\",\"6\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"1\",\"0\",\"0\",\"0\",\"1\",\"1\",\"2\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"583\",\"0\",\"3\",\"586\",\"0\"],[\"243\",\"243\",\"290\",\"409\",\"12\",\"1\",\"1\",\"0\",\"1\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"2\",\"4\",\"0\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"724\",\"0\",\"6\",\"730\",\"0\"],[\"244\",\"244\",\"233\",\"392\",\"12\",\"1\",\"1\",\"1\",\"2\",\"0\",\"0\",\"1\",\"0\",\"2\",\"0\",\"1\",\"0\",\"0\",\"2\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"651\",\"0\",\"4\",\"655\",\"0\"],[\"245\",\"245\",\"283\",\"432\",\"8\",\"0\",\"2\",\"1\",\"0\",\"0\",\"1\",\"0\",\"0\",\"2\",\"0\",\"3\",\"0\",\"1\",\"2\",\"2\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"738\",\"0\",\"2\",\"740\",\"0\"],[\"246\",\"246\",\"294\",\"494\",\"21\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"1\",\"3\",\"0\",\"1\",\"2\",\"1\",\"2\",\"0\",\"2\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"825\",\"0\",\"3\",\"828\",\"0\"],[\"247\",\"247\",\"374\",\"318\",\"6\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"2\",\"1\",\"2\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"708\",\"0\",\"3\",\"711\",\"0\"],[\"248\",\"248\",\"264\",\"536\",\"11\",\"0\",\"1\",\"0\",\"0\",\"2\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"1\",\"0\",\"0\",\"4\",\"0\",\"0\",\"0\",\"0\",\"0\",\"822\",\"0\",\"4\",\"826\",\"0\"]]}", "predicted": "{\"columns\":[null,\"Serial No. Of Polling Station\",\"UDIT RAJ\",\"YOGENDER CHANDOLIYA\",\"VIJAY BAUDDH\",\"K M KAJAL\",\"ADV. KRUPAL\",\"KHILKHILAKAR\",\"NAND RAM BAGRI\",\"NARESH KUMAR\",\"POOJA (BHAGTANI)\",\"PRAVEEN GAUTAM\",\"PREETI\",\"ADVOCATE DR. MAHENDER SINGH CHURIYANA\",\"RAJENDER SOOD\",\"SHYAM BHARTEEY\",\"ADVOCATE SATISH CHANDRA\",\"SUBHASH\",\"SURESH KUMAR\",\"SANJAY KUMAR SIWAL\",\"ADITI\",\"CHANDER PAL SONI\",\"NARESH KUMAR\",\"PARMENDRA MANJHI\",\"PUSHPA NAGRA\",\"PRADEEP KUMAR\",\"SATYA PRAKASH UTTRAKHANDI\",\"HARI KISHAN (MECHANIC)\",\"Total of Valid Votes\",\"No. Of Rejected Votes\",\"Votes for NOTA\",\"Total\",\"No. Of Tendered Votes\"],\"rows\":[[\"241\",\"241\",\"193\",\"314\",\"5\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"2\",\"1\",\"1\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"518\",\"0\",\"1\",\"519\",\"0\"],[\"242\",\"242\",\"192\",\"376\",\"6\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"1\",\"0\",\"0\",\"0\",\"1\",\"1\",\"2\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"583\",\"0\",\"3\",\"586\",\"0\"],[\"243\",\"243\",\"290\",\"409\",\"12\",\"1\",\"1\",\"0\",\"1\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"2\",\"4\",\"0\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"724\",\"0\",\"6\",\"730\",\"0\"],[\"244\",\"244\",\"233\",\"392\",\"12\",\"1\",\"1\",\"1\",\"2\",\"0\",\"0\",\"1\",\"0\",\"2\",\"0\",\"1\",\"0\",\"0\",\"2\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"651\",\"0\",\"4\",\"655\",\"0\"],[\"245\",\"245\",\"283\",\"432\",\"8\",\"0\",\"2\",\"1\",\"0\",\"0\",\"1\",\"0\",\"0\",\"2\",\"0\",\"3\",\"0\",\"1\",\"2\",\"2\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"738\",\"0\",\"2\",\"740\",\"0\"],[\"246\",\"246\",\"294\",\"494\",\"21\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"1\",\"3\",\"0\",\"1\",\"2\",\"1\",\"2\",\"0\",\"2\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"825\",\"0\",\"3\",\"828\",\"0\"],[\"247\",\"247\",\"374\",\"318\",\"6\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"2\",\"1\",\"2\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"708\",\"0\",\"3\",\"711\",\"0\"],[\"248\",\"248\",\"264\",\"536\",\"11\",\"0\",\"1\",\"0\",\"0\",\"2\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"1\",\"0\",\"0\",\"4\",\"0\",\"0\",\"0\",\"0\",\"0\",\"822\",\"0\",\"4\",\"826\",\"0\"]]}", "correct": false, "input_tokens": 1281, "output_tokens": 834, "elapsed_seconds": 8.273714125039987, "metadata": {"question": "{\"question\": \"Extract the election-results table from this image. Return only a valid JSON object with this structure:\\n\\n{\\n \\\"columns\\\": [],\\n \\\"rows\\\": []\\n}\\n\\nReturn every leaf column left-to-right, including row identifiers, candidate names and summary columns. Join multi-line column headings with spaces; omit shared spanning headings. Use null for a leaf column without its own heading; do not invent or duplicate a spanning heading. Return rows as arrays of cells aligned with columns, top-to-bottom, including any printed total rows. Preserve zeros, identifiers and printed symbols; use null for blank or unreadable cells, never 0. Do not calculate totals or fill values from neighboring cells. Each row must contain exactly one cell per column.\\n\\nPreserve text as printed or handwritten, joining line breaks within a field with spaces. Do not infer missing information or translate. Include every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "5a920086d972fa99d030e924d98c27c7231d1252b8d846a453901c78373255cf", "category": "structured", "subset": "632de14cb0143303", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "12e800a4f1bc279a642579a93e407f1a636b74a40199cd8ab85f4af6e8b5eed6", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the election-results table from this image. Return only a valid JSON object with this structure:\n\n{\n \"columns\": [],\n \"rows\": []\n}\n\nReturn every leaf column left-to-right, including row identifiers, candidate names and summary columns. Join multi-line column headings with spaces; omit shared spanning headings. Use null for a leaf column without its own heading; do not invent or duplicate a spanning heading. Return rows as arrays of cells aligned with columns, top-to-bottom, including any printed total rows. Preserve zeros, identifiers and printed symbols; use null for blank or unreadable cells, never 0. Do not calculate totals or fill values from neighboring cells. Each row must contain exactly one cell per column.\n\nPreserve text as printed or handwritten, joining line breaks within a field with spaces. Do not infer missing information or translate. Include every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 0.9966, "status": "ok", "format_compliant": true, "matched_fields": 296, "reference_fields": 297, "predicted_fields": 297, "non_null_field_accuracy": 1.0, "object_exact_match": false, "attempts": 1, "retries": 0, "total_seconds": 8.3322}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 543, "image": "image_8f0e816d2938e480d8eacd5c_jpg.rf.196696778d53e7318409bcd7614c59ee.jpg", "expected": "37", "predicted": "37", "correct": true, "input_tokens": 1152, "output_tokens": 6, "elapsed_seconds": 2.604398582945578, "metadata": {"question": "{\"question\": \"Read the house number on the address plate in this image. Return only the number, including any letters, hyphens, or slashes. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "c4ccfd01604c57bed50fc3aec5529733d42a14813cf047f590e9007a5eddd5a8", "category": "single_string", "subset": "4788f963011764ba", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "0581bb4586f5fa6aaaa2f56c70e1f0a0789ec9e21a4613548b2f5f8bec1fa5db", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the house number on the address plate in this image. Return only the number, including any letters, hyphens, or slashes. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 2.6411}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 544, "image": "image_ca5eaab8c7bb412863c5cafd_jpg.rf.8fb2470c7dcdefe2436c4a742e1b0cf8.jpg", "expected": "241013", "predicted": "241013", "correct": true, "input_tokens": 1148, "output_tokens": 10, "elapsed_seconds": 2.622725582914427, "metadata": {"question": "{\"question\": \"Read the six-digit code engraved on the metal surface. Return only the code as a string of digits, preserving leading zeros. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "23f0e060d977baeb7aa1d2ea0338bf78fe9b1935068f86d9f37fe2d6e51b4341", "category": "single_string", "subset": "f2a87f15a0d3eb96", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "f5147488fd196afc0b1bcb4c23d3248b830ed451a3fea40b14d13d620e5935d9", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the six-digit code engraved on the metal surface. Return only the code as a string of digits, preserving leading zeros. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 2.6366}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 545, "image": "image_46e2dd581c5b60f2987980fc_jpg.rf.e3dfd98bdb1068e010f21dbdc3753911.jpg", "expected": "[{\"bbox\":[161,91,241,103],\"text\":\"PosterJam\"},{\"bbox\":[392,91,471,105],\"text\":\"Challenge\"},{\"bbox\":[237,345,318,368],\"text\":\"great\"},{\"bbox\":[237,370,332,395],\"text\":\"shape!\"},{\"bbox\":[161,539,269,551],\"text\":\"Studio Fluid\"},{\"bbox\":[401,539,470,551],\"text\":\"November\"}]", "predicted": "[{\"box_2d\": [141, 250, 160, 376], \"text\": \"PosterJam\"}, {\"box_2d\": [141, 611, 165, 735], \"text\": \"Challenge\"}, {\"box_2d\": [535, 369, 574, 497], \"text\": \"great\"}, {\"box_2d\": [575, 369, 616, 519], \"text\": \"shape!\"}, {\"box_2d\": [841, 250, 860, 419], \"text\": \"Studio Fluid\"}, {\"box_2d\": [841, 624, 860, 735], \"text\": \"November\"}]", "correct": true, "input_tokens": 1327, "output_tokens": 199, "elapsed_seconds": 4.445239083026536, "metadata": {"question": "{\"question\": \"Locate and transcribe visible text on the poster.\", \"specification\": \"Use one box per text line; keep separate words or letter groups on strongly curved paths in separate boxes. Include rotated text. Exclude decorative shapes, photographs and non-text graphics. Return plain text, not LaTeX.\\n\\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\", \"task\": \"localization_recognition\"}", "sample_id": "592322065beb8f0df61542e829103a2b59b2ae876fd98d84062209cad2628327", "category": "localization_recognition", "subset": "a0ebbce28fa5095a", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "9ee747f3c8a0ae8519d1bc3bc29f0aba29c0106c8c6cd19abda0d1670714ac23", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe visible text on the poster.\n\nUse one box per text line; keep separate words or letter groups on strongly curved paths in separate boxes. Include rotated text. Exclude decorative shapes, photographs and non-text graphics. Return plain text, not LaTeX.\n\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 1.0, "status": "ok", "format_compliant": true, "detection_f1": 1.0, "matched_regions": 6, "reference_regions": 6, "predicted_regions": 6, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 4.4616}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 546, "image": "image_7b171f6ece883d2156c55660_png_jpg.rf.7326c75148e3829938317b50a7473831.jpg", "expected": "{\"columns\":[null,null,\"UDIT RAJ\",\"YOGENDER CHANDOLIYA\",\"VIJAY BAUDDH\",\"K M KAJAL\",\"ADV. KRUPAL\",\"KHILKHILAKAR\",\"NAND RAM BAGRI\",\"NARESH KUMAR\",\"POOJA (BHAGTANI)\",\"PRAVEEN GAUTAM\",\"PREETI\",\"ADVOCATE DR. MAHENDER SINGH CHURIYANA\",\"RAJENDER SOOD\",\"SHYAM BHARTEEY\",\"ADVOCATE SATISH CHANDRA\",\"SUBHASH\",\"SURESH KUMAR\",\"SANJAY KUMAR SIWAL\",\"ADITI\",\"CHANDER PAL SONI\",\"NARESH KUMAR\",\"PARMENDRA MANJHI\",\"PUSHPA NAGRA\",\"PRADEEP KUMAR\",\"SATYA PRAKASH UTTRAKHANDI\",\"HARI KISHAN (MECHANIC)\",\"Total of Valid Votes\",\"No. Of Rejected Votes\",\"Votes for NOTA\",\"Total\",\"No. Of Tendered Votes\"],\"rows\":[[\"61\",\"61\",\"154\",\"586\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"1\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"745\",\"0\",\"14\",\"759\",\"0\"],[\"62\",\"62\",\"145\",\"441\",\"5\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"592\",\"0\",\"6\",\"598\",\"0\"],[\"63\",\"63\",\"127\",\"527\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"659\",\"0\",\"12\",\"671\",\"0\"],[\"64\",\"64\",\"161\",\"543\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"709\",\"0\",\"9\",\"718\",\"0\"],[\"65\",\"65\",\"235\",\"469\",\"4\",\"1\",\"1\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"1\",\"1\",\"2\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"716\",\"0\",\"6\",\"722\",\"0\"],[\"66\",\"66\",\"124\",\"318\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"444\",\"0\",\"8\",\"452\",\"0\"],[\"67\",\"67\",\"231\",\"503\",\"1\",\"0\",\"1\",\"1\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"738\",\"0\",\"10\",\"748\",\"0\"],[\"68\",\"68\",\"164\",\"597\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"1\",\"2\",\"1\",\"0\",\"0\",\"0\",\"0\",\"767\",\"0\",\"11\",\"778\",\"0\"]]}", "predicted": "{\"columns\": [\"Serial No. Of Polling Station\", null, \"UDIT RAJ\", \"YOGENDER CHANDOLIYA\", \"VIJAY BAUDDH\", \"K M KAJAL\", \"ADV. KRUPAL\", \"KHILKHILAKAR\", \"NAND RAM BAGRI\", \"NARESH KUMAR\", \"POOJA (BHAGTANI)\", \"PRAVEEN GAUTAM\", \"PREETI\", \"ADVOCATE DR. MAHENDER SINGH CHURIYANA\", \"RAJENDER SOOD\", \"SHYAM BHARTEEY\", \"ADVOCATE SATISH CHANDRA\", \"SUBHASH\", \"SURESH KUMAR\", \"SANJAY KUMAR SIWAL\", \"ADITI\", \"CHANDER PAL SONI\", \"NARESH KUMAR\", \"PARMENDRA MANJHI\", \"PUSHPA NAGRA\", \"PRADEEP KUMAR\", \"SATYA PRAKASH UTTRAKHANDI\", \"HARI KISHAN (MECHANIC)\", \"Total of Valid Votes\", \"No. Of Rejected Votes\", \"Votes for NOTA\", \"Total\", \"No. Of Tendered Votes\"], \"rows\": [[\"61\", \"61\", \"154\", \"586\", \"0\", \"1\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"1\", \"1\", \"0\", \"0\", \"1\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"1\", \"0\", \"0\", \"0\", \"0\", \"745\", \"0\", \"14\", \"759\", \"0\"], [\"62\", \"62\", \"145\", \"441\", \"5\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"1\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"592\", \"0\", \"6\", \"598\", \"0\"], [\"63\", \"63\", \"127\", \"527\", \"1\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"1\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"1\", \"0\", \"0\", \"1\", \"1\", \"0\", \"0\", \"0\", \"0\", \"0\", \"659\", \"0\", \"12\", \"671\", \"0\"], [\"64\", \"64\", \"161\", \"543\", \"1\", \"0\", \"0\", \"0\", \"0\", \"1\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"1\", \"0\", \"1\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"1\", \"709\", \"0\", \"9\", \"718\", \"0\"], [\"65\", \"65\", \"235\", \"469\", \"4\", \"1\", \"1\", \"0\", \"1\", \"0\", \"0\", \"0\", \"0\", \"1\", \"0\", \"0\", \"0\", \"1\", \"1\", \"2\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"716\", \"0\", \"6\", \"722\", \"0\"], [\"66\", \"66\", \"124\", \"318\", \"1\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"1\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"444\", \"0\", \"8\", \"452\", \"0\"], [\"67\", \"67\", \"231\", \"503\", \"1\", \"0\", \"1\", \"1\", \"0\", \"0\", \"0\", \"1\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"738\", \"0\", \"10\", \"748\", \"0\"], [\"68\", \"68\", \"164\", \"597\", \"1\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"1\", \"0\", \"0\", \"1\", \"2\", \"1\", \"0\", \"0\", \"0\", \"0\", \"767\", \"0\", \"11\", \"778\", \"0\"]]}", "correct": false, "input_tokens": 1270, "output_tokens": 1114, "elapsed_seconds": 9.291126500000246, "metadata": {"question": "{\"question\": \"Extract the election-results table from this image. Return only a valid JSON object with this structure:\\n\\n{\\n \\\"columns\\\": [],\\n \\\"rows\\\": []\\n}\\n\\nReturn every leaf column left-to-right, including row identifiers, candidate names and summary columns. Join multi-line column headings with spaces; omit shared spanning headings. Use null for a leaf column without its own heading; do not invent or duplicate a spanning heading. Return rows as arrays of cells aligned with columns, top-to-bottom, including any printed total rows. Preserve zeros, identifiers and printed symbols; use null for blank or unreadable cells, never 0. Do not calculate totals or fill values from neighboring cells. Each row must contain exactly one cell per column.\\n\\nPreserve text as printed or handwritten, joining line breaks within a field with spaces. Do not infer missing information or translate. Include every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "70c18cdb7280d3119ad00cf16212abca07ec6fd21da2f135409c6fbfcaa6ff32", "category": "structured", "subset": "632de14cb0143303", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "ded0613391f0d0099726a554a23c77c4b868a9df11a819098c56001bc8d0f997", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the election-results table from this image. Return only a valid JSON object with this structure:\n\n{\n \"columns\": [],\n \"rows\": []\n}\n\nReturn every leaf column left-to-right, including row identifiers, candidate names and summary columns. Join multi-line column headings with spaces; omit shared spanning headings. Use null for a leaf column without its own heading; do not invent or duplicate a spanning heading. Return rows as arrays of cells aligned with columns, top-to-bottom, including any printed total rows. Preserve zeros, identifiers and printed symbols; use null for blank or unreadable cells, never 0. Do not calculate totals or fill values from neighboring cells. Each row must contain exactly one cell per column.\n\nPreserve text as printed or handwritten, joining line breaks within a field with spaces. Do not infer missing information or translate. Include every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 0.9966, "status": "ok", "format_compliant": true, "matched_fields": 296, "reference_fields": 297, "predicted_fields": 297, "non_null_field_accuracy": 1.0, "object_exact_match": false, "attempts": 1, "retries": 0, "total_seconds": 9.3483}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 547, "image": "image_06641d76383b72f5a220dc49_jpg.rf.4af84c804afe06f29bfc66098f3a723d.jpg", "expected": "23", "predicted": "10", "correct": false, "input_tokens": 1146, "output_tokens": 6, "elapsed_seconds": 2.223437250009738, "metadata": {"question": "{\"question\": \"Read the basketball jersey number visible in this image. Return only the number as a string of digits. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "8b33d4d31c9b2a6121c1d8fe831357d8b694609edab1acfd8d60fa6784e840f4", "category": "single_string", "subset": "c88e91da6c946745", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "17d4b81c3319753febd3f33535668cf19e74ed38448e2d14ca29f148c3ea4f1d", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the basketball jersey number visible in this image. Return only the number as a string of digits. Do not explain.", "match_method": "single_string", "score": 0.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 2.2267}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 548, "image": "image_6818d92a5387c9a354cfac46_jpg.rf.3e3ff65d745c513b74a239c30ddd7ef0.jpg", "expected": "{\"application_id\":\"56781024\",\"application_date\":\"24032002\",\"product_type\":\"Home Equity\",\"tenure_months\":\"120\",\"loan_amount\":\"340060239\",\"applicant_name\":\"NANDA PAVAN KUMAR\",\"birth_date\":\"24032002\",\"current_address\":\"ABHILASHA PG FLAT NO 408 BELLANDUR 560103 BENGALURU\",\"current_city\":\"GUNTUR\",\"current_state\":\"ANDHRA PRADESH\",\"current_postal_code\":\"500027\",\"current_mobile\":\"9912423789\",\"pan_number\":\"LIIPL0555E7\"}", "predicted": "{\n \"application_id\": \"56781024\",\n \"application_date\": \"24032002\",\n \"product_type\": \"Home Equity\",\n \"tenure_months\": \"120\",\n \"loan_amount\": \"340060230\",\n \"applicant_name\": \"NANDA PAVAN KUMAR\",\n \"birth_date\": \"24032002\",\n \"current_address\": \"ABHILASHA PG FLAT NO 408 BELLANDUR 560103 BENGALURU\",\n \"current_city\": \"GUNTUR\",\n \"current_state\": \"ANDHRA PRADESH\",\n \"current_postal_code\": \"500027\",\n \"current_mobile\": \"9912423789\",\n \"pan_number\": \"LIIPL0555E7\"\n}", "correct": false, "input_tokens": 1432, "output_tokens": 227, "elapsed_seconds": 4.505296790972352, "metadata": {"question": "{\"question\": \"Extract the completed applicant and loan fields from this loan application. Return only a valid JSON object with this structure:\\n\\n{\\n \\\"application_id\\\": null,\\n \\\"application_date\\\": null,\\n \\\"product_type\\\": null,\\n \\\"tenure_months\\\": null,\\n \\\"loan_amount\\\": null,\\n \\\"applicant_name\\\": null,\\n \\\"birth_date\\\": null,\\n \\\"current_address\\\": null,\\n \\\"current_city\\\": null,\\n \\\"current_state\\\": null,\\n \\\"current_postal_code\\\": null,\\n \\\"current_mobile\\\": null,\\n \\\"pan_number\\\": null\\n}\\n\\nUse Application ID No., not Application Form No. Read the current address, not the permanent address. Remove spaces between character boxes in identifiers and numbers; retain word spaces in names and addresses. For product_type, copy the single checked option; use null if none or several are selected. Transcribe date-box contents as written without inventing separators, even if malformed. Keep leading zeros in numbers.\\n\\nPreserve spelling, capitalization and punctuation; join line breaks within a field with spaces. Do not infer, correct or translate. Ignore filler dashes in unused boxes. For current_address, include only Current Residence Address lines, excluding the separately labelled landmark, city, state and postal-code fields. Use strings for values and null for missing or unreadable fields. Include every key. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "19c8c7e8d7c2571be583c672f2dda2df0a3696c1bcc0bf79d4e1e629982189f4", "category": "structured", "subset": "320cb142e1839899", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "3143b3736b30b1812bd18a371753d7b94b157564acc0e866329b807ea269ebf8", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the completed applicant and loan fields from this loan application. Return only a valid JSON object with this structure:\n\n{\n \"application_id\": null,\n \"application_date\": null,\n \"product_type\": null,\n \"tenure_months\": null,\n \"loan_amount\": null,\n \"applicant_name\": null,\n \"birth_date\": null,\n \"current_address\": null,\n \"current_city\": null,\n \"current_state\": null,\n \"current_postal_code\": null,\n \"current_mobile\": null,\n \"pan_number\": null\n}\n\nUse Application ID No., not Application Form No. Read the current address, not the permanent address. Remove spaces between character boxes in identifiers and numbers; retain word spaces in names and addresses. For product_type, copy the single checked option; use null if none or several are selected. Transcribe date-box contents as written without inventing separators, even if malformed. Keep leading zeros in numbers.\n\nPreserve spelling, capitalization and punctuation; join line breaks within a field with spaces. Do not infer, correct or translate. Ignore filler dashes in unused boxes. For current_address, include only Current Residence Address lines, excluding the separately labelled landmark, city, state and postal-code fields. Use strings for values and null for missing or unreadable fields. Include every key. Do not include explanations or Markdown.", "match_method": "structured", "score": 0.9231, "status": "ok", "format_compliant": true, "matched_fields": 12, "reference_fields": 13, "predicted_fields": 13, "non_null_field_accuracy": 0.9230769230769231, "object_exact_match": false, "attempts": 1, "retries": 0, "total_seconds": 4.5565}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 549, "image": "image_92ef045c63a9d16d078fd932_jpg.rf.a83d9a1b3ae62744b4953af71ea69391.jpg", "expected": "{\"recipient_name\":\"\u5c71\u672c\u6d69\",\"recipient_furigana\":\"\u9234\u6728\u592a\u90ce\",\"recipient_address\":\"\u9752\u68ee\u770c\u6a2a\u6d5c\u5e02\u65ed\u533a\u5929\u795e\u5cf636\u4e01\u76ee15\u756a16\u53f7\u65e5\u6bd4\u8c37\u516c\u5712\u30b3\u30fc\u30c8646\",\"recipient_position\":\"\u904b\u8ee2\u58eb\",\"salary_payment_amount\":\"71202079\",\"income_after_salary_deduction\":\"99779875\",\"total_income_deductions\":\"23735348\",\"withholding_tax\":null,\"payer_name\":\"\u77f3\u5ddd\u82b1\u5b50\",\"payer_address\":\"\u7e04\u770c\u798f\u751f\u5e02\u897f\u6d45\u834916\u4e01\u76ee11\u756a20\u53f7\u30b3\u30fc\u30dd\u524d\u5f25\u516d412\",\"payer_phone\":\"48-2360-3795\"}", "predicted": "{\n \"recipient_name\": \"\u5c71\u672c\u6d69\",\n \"recipient_furigana\": \"\u9234\u6728\u592a\u90ce\",\n \"recipient_address\": \"\u9752\u68ee\u770c\u6a2a\u6d5c\u5e02\u65ed\u533a\u5929\u795e\u5cf636\u4e01\u76ee15\u756a16\u53f7\u65e5\u6bd4\u8c37\u516c\u5712\u30b3\u30fc\u30c8646\",\n \"recipient_position\": \"\u904b\u8ee2\u58eb\",\n \"salary_payment_amount\": \"71202079\",\n \"income_after_salary_deduction\": \"99779875\",\n \"total_income_deductions\": \"23735348\",\n \"withholding_tax\": null,\n \"payer_name\": \"\u77f3\u5ddd\u82b1\u5b50\",\n \"payer_address\": \"\u7e04\u770c\u798f\u751f\u5e02\u897f\u6d45\u834916\u4e01\u76ee11\u756a20\u53f7\u30b3\u30fc\u30dd\u524d\u5f25\u516d412\",\n \"payer_phone\": \"48-2360-3795\"\n}", "correct": true, "input_tokens": 1418, "output_tokens": 214, "elapsed_seconds": 5.28022566693835, "metadata": {"question": "{\"question\": \"Extract these fields from the Japanese salary withholding certificate. Return only a valid JSON object with this structure:\\n\\n{\\n \\\"recipient_name\\\": null,\\n \\\"recipient_furigana\\\": null,\\n \\\"recipient_address\\\": null,\\n \\\"recipient_position\\\": null,\\n \\\"salary_payment_amount\\\": null,\\n \\\"income_after_salary_deduction\\\": null,\\n \\\"total_income_deductions\\\": null,\\n \\\"withholding_tax\\\": null,\\n \\\"payer_name\\\": null,\\n \\\"payer_address\\\": null,\\n \\\"payer_phone\\\": null\\n}\\n\\nRecipient fields come from \u652f\u6255\u3092\u53d7\u3051\u308b\u8005; payer fields come from \u652f\u6255\u8005. Map amounts to \u652f\u6255\u91d1\u984d, \u7d66\u4e0e\u6240\u5f97\u63a7\u9664\u5f8c\u306e\u91d1\u984d, \u6240\u5f97\u63a7\u9664\u306e\u984d\u306e\u5408\u8a08\u984d and \u6e90\u6cc9\u5fb4\u53ce\u7a0e\u984d respectively. Join digits across adjacent boxes; omit printed currency/unit headings, preserving visible numeric separators. Copy furigana exactly even if it differs from the name; do not repair inconsistent entries.\\n\\nIgnore typographic spacing inside Japanese names, words and digit strings; join wrapped Japanese text without adding spaces. Use ASCII digits; preserve actual punctuation. Preserve other text as written. Do not infer missing information or translate. Use strings for extracted values and null for missing or unreadable fields. Include every key. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "eda97fc16f25602b5470f528e9eb73307dd7c20fb121991fc288d4cc1f0b0116", "category": "structured", "subset": "7536d2f054eb9bde", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "1f22dcc03f5ad2786ae80f0065978340c5b762b505ae0a129ead5c40d32ffe6e", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract these fields from the Japanese salary withholding certificate. Return only a valid JSON object with this structure:\n\n{\n \"recipient_name\": null,\n \"recipient_furigana\": null,\n \"recipient_address\": null,\n \"recipient_position\": null,\n \"salary_payment_amount\": null,\n \"income_after_salary_deduction\": null,\n \"total_income_deductions\": null,\n \"withholding_tax\": null,\n \"payer_name\": null,\n \"payer_address\": null,\n \"payer_phone\": null\n}\n\nRecipient fields come from \u652f\u6255\u3092\u53d7\u3051\u308b\u8005; payer fields come from \u652f\u6255\u8005. Map amounts to \u652f\u6255\u91d1\u984d, \u7d66\u4e0e\u6240\u5f97\u63a7\u9664\u5f8c\u306e\u91d1\u984d, \u6240\u5f97\u63a7\u9664\u306e\u984d\u306e\u5408\u8a08\u984d and \u6e90\u6cc9\u5fb4\u53ce\u7a0e\u984d respectively. Join digits across adjacent boxes; omit printed currency/unit headings, preserving visible numeric separators. Copy furigana exactly even if it differs from the name; do not repair inconsistent entries.\n\nIgnore typographic spacing inside Japanese names, words and digit strings; join wrapped Japanese text without adding spaces. Use ASCII digits; preserve actual punctuation. Preserve other text as written. Do not infer missing information or translate. Use strings for extracted values and null for missing or unreadable fields. Include every key. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 11, "reference_fields": 11, "predicted_fields": 11, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 5.4425}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 550, "image": "image_67a8a418cc68b301ce8957f8_jpg.rf.d801f66706ce4f9f28b592f108a3204f.jpg", "expected": "[{\"bbox\":[245,33,425,106],\"text\":\"INDIAN\"},{\"bbox\":[435,42,598,214],\"text\":\"CUISINE\"},{\"bbox\":[144,91,243,214],\"text\":\"EAST\"},{\"bbox\":[18,319,400,442],\"text\":\"SPICE\"},{\"bbox\":[417,323,733,445],\"text\":\"HUT\"}]", "predicted": "[{\"box_2d\": [59, 300, 177, 517], \"text\": \"INDIAN\"}, {\"box_2d\": [154, 187, 349, 297], \"text\": \"EAST\"}, {\"box_2d\": [83, 535, 354, 731], \"text\": \"CUISINE\"}, {\"box_2d\": [529, 20, 725, 484], \"text\": \"SPICE\"}, {\"box_2d\": [537, 512, 740, 895], \"text\": \"HUT\"}]", "correct": true, "input_tokens": 1296, "output_tokens": 165, "elapsed_seconds": 4.159889250062406, "metadata": {"question": "{\"question\": \"Locate and transcribe all text on the signs in this image.\", \"specification\": \"Use one box per word or standalone number, including curved words in a single box. Exclude text outside the signs and purely graphical symbols. Return plain text, not LaTeX.\\n\\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\", \"task\": \"localization_recognition\"}", "sample_id": "a6316dac1755ca4f19c5ea2a1b90556addf5c24152bc42d833663afb7eebb721", "category": "localization_recognition", "subset": "21363697af554f8e", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "e61f69a31b38125160252c7e4dc03a5a5731ec1fcb9fe155f17659824c3aef33", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe all text on the signs in this image.\n\nUse one box per word or standalone number, including curved words in a single box. Exclude text outside the signs and purely graphical symbols. Return plain text, not LaTeX.\n\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 1.0, "status": "ok", "format_compliant": true, "detection_f1": 1.0, "matched_regions": 5, "reference_regions": 5, "predicted_regions": 5, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 4.181}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 551, "image": "image_9dc5b92758140a32d442b5c1_jpg.rf.3379a2b5317fc6f44f06db23a5a3fb17.jpg", "expected": "{\"heat_number\":\"A81278\",\"billet_id\":\"1041\"}", "predicted": "{\n \"heat_number\": \"A81278\",\n \"billet_id\": \"1041\"\n}", "correct": true, "input_tokens": 1241, "output_tokens": 36, "elapsed_seconds": 4.0639139170525596, "metadata": {"question": "{\"question\": \"Extract the information printed on the end of this metal billet. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"heat_number\\\": null,\\n \\\"billet_id\\\": null\\n}\\n\\nUse the letter-prefixed code for heat_number and the separate shorter numeric code for billet_id. Preserve leading zeros and omit spaces within codes.\\n\\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "9a003ac47745238e0edacd55f313515f99fb92ff6fc8ed525f3f6b2e70f5d3f0", "category": "structured", "subset": "84ce444ef86dc04d", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "a44b32dcc2ae01d5c44bd9baf88ef148a755dbc5ed1c334bf68668967b3f7eef", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on the end of this metal billet. Return only a valid JSON object with these fields:\n\n{\n \"heat_number\": null,\n \"billet_id\": null\n}\n\nUse the letter-prefixed code for heat_number and the separate shorter numeric code for billet_id. Preserve leading zeros and omit spaces within codes.\n\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 2, "reference_fields": 2, "predicted_fields": 2, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 4.1742}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 552, "image": "image_1498710b7fbcad63e918e548_jpg.rf.db8286edc2e5329a7e74f425681709bf.jpg", "expected": "0.178", "predicted": "0.178", "correct": true, "input_tokens": 1167, "output_tokens": 9, "elapsed_seconds": 3.9979854590492323, "metadata": {"question": "{\"question\": \"Read the weight shown on the digital scale in this image. Return only the numeric reading, preserving the decimal separator and any minus sign. Do not include units or explain.\", \"task\": \"single_string\"}", "sample_id": "6da354bea2a10e16dc48846f027bfffa8163b3b733c581da16f786bec388ff66", "category": "single_string", "subset": "2230d8632391d9a6", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "bbce4419beb62363914d5e20140671e3c5f736ecbbf81090415dde77d4fc4b37", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the weight shown on the digital scale in this image. Return only the numeric reading, preserving the decimal separator and any minus sign. Do not include units or explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 4.1017}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 553, "image": "image_c87ae7f578b946abf1033d9d_jpg.rf.f345dc75e8ab203cd673037c01c85ebd.jpg", "expected": "{\"title\":\"Hold Me Tight SEVEN CONVERSATIONS for a LIFETIME of LOVE\",\"author\":\"Dr. Sue Johnson\",\"publisher\":null}", "predicted": "{\n \"title\": \"Hold Me Tight SEVEN CONVERSATIONS for a LIFETIME of LOVE\",\n \"author\": \"Dr. Sue Johnson\",\n \"publisher\": null\n}", "correct": true, "input_tokens": 1301, "output_tokens": 44, "elapsed_seconds": 2.5997147500747815, "metadata": {"question": "{\"question\": \"Extract the information printed on this book cover. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"title\\\": null,\\n \\\"author\\\": null,\\n \\\"publisher\\\": null\\n}\\n\\nInclude the subtitle in title, but exclude series names, endorsements and promotional badges. Include only the book\u2019s authors in author, preserving their printed order and separators; exclude foreword or introduction contributors. Use visible publisher text only; do not identify a symbol-only logo.\\n\\nExclude edition/volume labels from title and editors from author. Join title and subtitle with a space; do not add punctuation.\\n\\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "fcdb00b9a4b35b952ab4501874af22c5efef8d8c9c268e36685637b6d532db77", "category": "structured", "subset": "3d7fadf0660f8706", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "00d9fc795f6d87b248cae220c2747d0dd4f8ca984cad236985d5edd811e8cc93", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on this book cover. Return only a valid JSON object with these fields:\n\n{\n \"title\": null,\n \"author\": null,\n \"publisher\": null\n}\n\nInclude the subtitle in title, but exclude series names, endorsements and promotional badges. Include only the book\u2019s authors in author, preserving their printed order and separators; exclude foreword or introduction contributors. Use visible publisher text only; do not identify a symbol-only logo.\n\nExclude edition/volume labels from title and editors from author. Join title and subtitle with a space; do not add punctuation.\n\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 3, "reference_fields": 3, "predicted_fields": 3, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 2.6129}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 554, "image": "image_af1e02ed3e9b94813cbed8d6_jpg.rf.fb9e441b7c594dbac12ec1ebf3f2f705.jpg", "expected": "0725", "predicted": "0725", "correct": true, "input_tokens": 1212, "output_tokens": 8, "elapsed_seconds": 2.8071746659697965, "metadata": {"question": "{\"question\": \"Read the main row of mechanical counter digits on this water meter from left to right, including both black and red digits. Preserve leading zeros. Return only the digits: do not include commas, decimal points, spaces, units, serial numbers, pointers or inset enlargements. For a rolling digit, use the digit whose center is closest to the center of its window; return null if the reading is cropped or any digit is ambiguous. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "9d32992aa987025913c7646e7cda633b2d0d0a0d3dec12f1eaf9c5eadd54ed53", "category": "single_string", "subset": "2fb4de8cc245dee5", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "9057d551c93fa22b07c539bd2ce3036a2dc5a9787246bd2b0f814ace7f9e6a7a", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the main row of mechanical counter digits on this water meter from left to right, including both black and red digits. Preserve leading zeros. Return only the digits: do not include commas, decimal points, spaces, units, serial numbers, pointers or inset enlargements. For a rolling digit, use the digit whose center is closest to the center of its window; return null if the reading is cropped or any digit is ambiguous. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 2.8485}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 555, "image": "image_c1ea565d5df6bcdc8b1de460_jpg.rf.6d986df0cfd4629de28d3f920204b7fe.jpg", "expected": "{\"carrier\":\"FedEx\",\"tracking_number\":\"788500423871\",\"sender_name\":\"Shipping Department Walmart.com (Drop Ship)\",\"sender_address\":\"7 Sunset Way Suites 150 Henderson NV 89014 US\",\"recipient_name\":\"Blandino Pasion\",\"recipient_address\":\"3566 Atlas St San Diego CA 92111 (US)\",\"shipping_service\":\"Home Delivery\",\"weight\":\"8.50 LB\"}", "predicted": "{\n \"carrier\": \"FedEx\",\n \"tracking_number\": \"788500423871\",\n \"sender_name\": \"Shipping Department Walmart.com (Drop Ship)\",\n \"sender_address\": \"7 Sunset Way Suites 150 Henderson NV 89014 US\",\n \"recipient_name\": \"Blandino Pasion\",\n \"recipient_address\": \"3566 Atlas St San Diego CA 92111 (US)\",\n \"shipping_service\": \"Home Delivery\",\n \"weight\": \"8.50 LB\"\n}", "correct": true, "input_tokens": 1366, "output_tokens": 143, "elapsed_seconds": 4.015714665991254, "metadata": {"question": "{\"question\": \"Extract the information printed on this shipping label. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"carrier\\\": null,\\n \\\"tracking_number\\\": null,\\n \\\"sender_name\\\": null,\\n \\\"sender_address\\\": null,\\n \\\"recipient_name\\\": null,\\n \\\"recipient_address\\\": null,\\n \\\"shipping_service\\\": null,\\n \\\"weight\\\": null\\n}\\n\\nIgnore accompanying paperwork. Keep company and department lines in names, not addresses; exclude phone numbers. Return tracking_number without spaces (e.g., \u201c7885 0040 8757\u201d \u2192 \u201c788500408757\u201d). Omit the carrier from shipping_service (e.g., \u201cFedEx Home Delivery\u201d \u2192 \u201cHome Delivery\u201d). Retain weight units and printed country information in addresses.\\n\\nPreserve all other text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "35aa2ad911adfa305d59f86c64a4d5e3f961e12fc1ba579baf4b4351c402c638", "category": "structured", "subset": "ccd97de2b96725a9", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "5b95cb3c696f284383b2f27dd84ade47589187c73937a0ccbbad06318f1b34e5", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on this shipping label. Return only a valid JSON object with these fields:\n\n{\n \"carrier\": null,\n \"tracking_number\": null,\n \"sender_name\": null,\n \"sender_address\": null,\n \"recipient_name\": null,\n \"recipient_address\": null,\n \"shipping_service\": null,\n \"weight\": null\n}\n\nIgnore accompanying paperwork. Keep company and department lines in names, not addresses; exclude phone numbers. Return tracking_number without spaces (e.g., \u201c7885 0040 8757\u201d \u2192 \u201c788500408757\u201d). Omit the carrier from shipping_service (e.g., \u201cFedEx Home Delivery\u201d \u2192 \u201cHome Delivery\u201d). Retain weight units and printed country information in addresses.\n\nPreserve all other text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 8, "reference_fields": 8, "predicted_fields": 8, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 4.0378}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 556, "image": "image_06216cb2fc241f5de50d5862_jpg.rf.2a1f13ac11ad49a301fde0bf0227fca8.jpg", "expected": "TN61S4947", "predicted": "null", "correct": false, "input_tokens": 1167, "output_tokens": 5, "elapsed_seconds": 2.6610430410364643, "metadata": {"question": "{\"question\": \"Read the registration number on the largest visible vehicle license plate. Return only the registration number, reading multiple lines from top to bottom, omitting spaces and preserving letters, digits, leading zeros and hyphens. Exclude country labels, vehicle branding and video overlays. Return null if the complete registration number is unreadable. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "1a1be57fbb40b59f654c8cfd8cae87cdd9c8130a28856a86872e39c84c0d89f9", "category": "single_string", "subset": "d883528f51470f78", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "cf68e1e89a1e41fc5b96a25ab0b6d4b0e5157b63c50292b57d6fbe0c8a79b3b0", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the registration number on the largest visible vehicle license plate. Return only the registration number, reading multiple lines from top to bottom, omitting spaces and preserving letters, digits, leading zeros and hyphens. Exclude country labels, vehicle branding and video overlays. Return null if the complete registration number is unreadable. Do not explain.", "match_method": "single_string", "score": 0.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 2.717}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 557, "image": "image_64c012a979cb6355e5114d7c_jpg.rf.ec8123845cbbdfe7a5847e9b63e4c98e.jpg", "expected": "02587", "predicted": "02581", "correct": false, "input_tokens": 1134, "output_tokens": 9, "elapsed_seconds": 2.764011208899319, "metadata": {"question": "{\"question\": \"Read the electricity meter reading shown on the LCD. Return only the reading, preserving leading zeros and any decimal point. Exclude the register code, units and serial number. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "3efb8cb760262db2ef0f4853f4bf5c6b20a449680b2f49fd1b78972c58e57cc1", "category": "single_string", "subset": "0749a0105d22d9d4", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "44376a1a2f799571e0acf92bd7621b443da0d26210d653180e8f81da6964d6bb", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the electricity meter reading shown on the LCD. Return only the reading, preserving leading zeros and any decimal point. Exclude the register code, units and serial number. Do not explain.", "match_method": "single_string", "score": 0.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 2.8154}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 558, "image": "image_695db97cc7af0c53d3bbf0bd_jpg.rf.12299e3066562d427504147627bad229.jpg", "expected": "[{\"bbox\":[293,438,348,475],\"text\":\"5,8\"},{\"bbox\":[644,611,739,658],\"text\":\"Lst.\"},{\"bbox\":[438,690,825,833],\"text\":\"Gnojau\"},{\"bbox\":[109,763,168,810],\"text\":\"5,8\"},{\"bbox\":[779,1107,844,1146],\"text\":\"5,8\"}]", "predicted": "[{\"box_2d\": [377, 273, 412, 320], \"text\": \"5,8\"}, {\"box_2d\": [535, 595, 574, 675], \"text\": \"Lst.\"}, {\"box_2d\": [666, 99, 706, 152], \"text\": \"5,8\"}, {\"box_2d\": [602, 405, 731, 745], \"text\": \"Gnojau\"}, {\"box_2d\": [967, 720, 1000, 775], \"text\": \"5,8\"}]", "correct": true, "input_tokens": 1332, "output_tokens": 172, "elapsed_seconds": 4.285906792036258, "metadata": {"question": "{\"question\": \"Locate and transcribe all visible map labels, abbreviations and numbers.\", \"specification\": \"Use one box per label line, keeping spaced-out letters of the same label together. Include rotated and curved labels; enclose each curved line in one box. Transcribe only visible characters at image edges. Preserve historical spelling, diacritics and punctuation; do not expand abbreviations or modernize names. Return plain text, not LaTeX.\\n\\nUse tight, axis-aligned boxes. Return entries top-to-bottom, then left-to-right. Use null for a visible region whose text cannot be read, and [] when none are present. Return no explanations or Markdown.\", \"task\": \"localization_recognition\"}", "sample_id": "5a64b476f900406004b1fdd3b99ca34aa36f027d07b018e638b3ba40cd448daf", "category": "localization_recognition", "subset": "60ba2e315b54c16e", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "736873e7953a368c3e8e38d8a996d21852ffd3edf7c70a7a42191dc3f1e0ba7f", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe all visible map labels, abbreviations and numbers.\n\nUse one box per label line, keeping spaced-out letters of the same label together. Include rotated and curved labels; enclose each curved line in one box. Transcribe only visible characters at image edges. Preserve historical spelling, diacritics and punctuation; do not expand abbreviations or modernize names. Return plain text, not LaTeX.\n\nUse tight, axis-aligned boxes. Return entries top-to-bottom, then left-to-right. Use null for a visible region whose text cannot be read, and [] when none are present. Return no explanations or Markdown.\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 1.0, "status": "ok", "format_compliant": true, "detection_f1": 1.0, "matched_regions": 5, "reference_regions": 5, "predicted_regions": 5, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 4.3582}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 559, "image": "image_a591c57e015f1e6ea16f4c92_jpg.rf.e36b142c1872adf95b43f33192c4759b.jpg", "expected": "{\"grading\":{\"year\":\"1999\",\"set_name\":\"POKEMON JUNGLE\",\"grade\":\"9.5\",\"certification_number\":\"1336410\"},\"card\":{\"name\":\"Venonat\",\"hp\":\"40\",\"evolves_from\":null,\"card_number\":\"63/64\",\"illustrator\":\"Mitsuhiro Arita\"}}", "predicted": "{\n \"grading\": {\n \"year\": \"1999\",\n \"set_name\": \"POKEMON JUNGLE\",\n \"grade\": \"9.5\",\n \"certification_number\": \"1336410\"\n },\n \"card\": {\n \"name\": \"Venonat\",\n \"hp\": \"40\",\n \"evolves_from\": null,\n \"card_number\": \"63/64\",\n \"illustrator\": \"Mitsuhiro Arita\"\n }\n}", "correct": true, "input_tokens": 1375, "output_tokens": 130, "elapsed_seconds": 6.223446500021964, "metadata": {"question": "{\"question\": \"Extract the information printed on this SGC-graded trading card and its holder. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"grading\\\": {\\n \\\"year\\\": null,\\n \\\"set_name\\\": null,\\n \\\"grade\\\": null,\\n \\\"certification_number\\\": null\\n },\\n \\\"card\\\": {\\n \\\"name\\\": null,\\n \\\"hp\\\": null,\\n \\\"evolves_from\\\": null,\\n \\\"card_number\\\": null,\\n \\\"illustrator\\\": null\\n }\\n}\\n\\nRead grading fields from the holder and card fields from the card. Return the numeric grade only (e.g., \u201c8.5 NM/MT+\u201d \u2192 \u201c8.5\u201d). Exclude gameplay suffixes and level indicators from Pok\u00e9mon names (e.g., \u201cLatias ex\u201d \u2192 \u201cLatias\u201d). Return HP as digits only (e.g., \u201c120 HP\u201d \u2192 \u201c120\u201d).\\n\\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "c7a6e8368677e402278ed78aeb1b3190a1d5da8c8fb10c949b6a08eb4ced41a6", "category": "structured", "subset": "6c56b14aa8dbe996", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "89b09b8dbc45f2e3d28e1e836c8726aad81099026840249a6613d288858a516f", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on this SGC-graded trading card and its holder. Return only a valid JSON object with these fields:\n\n{\n \"grading\": {\n \"year\": null,\n \"set_name\": null,\n \"grade\": null,\n \"certification_number\": null\n },\n \"card\": {\n \"name\": null,\n \"hp\": null,\n \"evolves_from\": null,\n \"card_number\": null,\n \"illustrator\": null\n }\n}\n\nRead grading fields from the holder and card fields from the card. Return the numeric grade only (e.g., \u201c8.5 NM/MT+\u201d \u2192 \u201c8.5\u201d). Exclude gameplay suffixes and level indicators from Pok\u00e9mon names (e.g., \u201cLatias ex\u201d \u2192 \u201cLatias\u201d). Return HP as digits only (e.g., \u201c120 HP\u201d \u2192 \u201c120\u201d).\n\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 9, "reference_fields": 9, "predicted_fields": 9, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 6.3091}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 560, "image": "image_d1e709abe6d29c3d6c9c1af0_jpg.rf.873f401790088c14c1558d0f30477808.jpg", "expected": "26", "predicted": "16", "correct": false, "input_tokens": 1146, "output_tokens": 6, "elapsed_seconds": 2.651300083962269, "metadata": {"question": "{\"question\": \"Read the basketball jersey number visible in this image. Return only the number as a string of digits. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "ac0b1d17f27bf91fef64b269ac5355e86f2e2cbb25a249ee189a53efc278fcff", "category": "single_string", "subset": "c88e91da6c946745", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "c5fbfe004dbd4985c40d4640a453a15fb6bfc594d98b082a61a140f324a8f831", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the basketball jersey number visible in this image. Return only the number as a string of digits. Do not explain.", "match_method": "single_string", "score": 0.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 2.6568}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 561, "image": "image_6c28736214a87fae3a4bcb63_jpg.rf.5d3c9a28ce8cbd03c3f5bcf399d3b63a.jpg", "expected": "1218890", "predicted": "1218890", "correct": true, "input_tokens": 1180, "output_tokens": 11, "elapsed_seconds": 3.29696775006596, "metadata": {"question": "{\"question\": \"Read the identification code on the utility pole tag. Return only the code, joining vertically stacked characters without spaces and preserving leading zeros and hyphens. Exclude labels such as POLE NO., timestamps and GPS/address overlays. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "11df2c6800c07abb0ec0d68c34d7dad5788855670ba03cf44cc1eaafe520aebc", "category": "single_string", "subset": "cd97317d8ff518ba", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "2383cc363657bfd0d893c0457a62b372b11b2dc45de921029f46ad33c866b023", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the identification code on the utility pole tag. Return only the code, joining vertically stacked characters without spaces and preserving leading zeros and hyphens. Exclude labels such as POLE NO., timestamps and GPS/address overlays. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 3.3728}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 562, "image": "image_06f7e68145e4f357356462e0_jpg.rf.ef65f93dd2655e2d2664493fa387d042.jpg", "expected": "{\"brand\":\"Electrolux\",\"model_number\":\"EKC7151\",\"product_number\":\"9485719-06\",\"serial_number\":\"40501409\",\"voltage\":\"400 V\",\"frequency\":\"50 Hz\",\"refrigerant\":null,\"country_of_manufacture\":\"Sweden\"}", "predicted": "{\n \"brand\": \"Electrolux\",\n \"model_number\": \"EKC7151\",\n \"product_number\": \"9485719-06\",\n \"serial_number\": \"40501409\",\n \"voltage\": \"400 V\",\n \"frequency\": \"50 Hz\",\n \"refrigerant\": null,\n \"country_of_manufacture\": \"Sweden\"\n}", "correct": true, "input_tokens": 1416, "output_tokens": 109, "elapsed_seconds": 3.260527041973546, "metadata": {"question": "{\"question\": \"Extract the information printed on this appliance identification label. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"brand\\\": null,\\n \\\"model_number\\\": null,\\n \\\"product_number\\\": null,\\n \\\"serial_number\\\": null,\\n \\\"voltage\\\": null,\\n \\\"frequency\\\": null,\\n \\\"refrigerant\\\": null,\\n \\\"country_of_manufacture\\\": null\\n}\\n\\nUse Model/MOD., Product/PROD.NO. and Serial/SER.NO. for their respective identifiers. Remove spaces within identifiers but retain hyphens and leading zeros. Use Type only if explicitly labeled as the model. Retain units for voltage and frequency; exclude refrigerant charge from refrigerant (e.g., \u201cR600a 40g\u201d \u2192 \u201cR600a\u201d). Use only an explicit Made in statement for country_of_manufacture.\\n\\nFormat voltage and frequency as the printed number or range followed by one space and V or Hz; use - for ranges and omit AC/~ symbols. Remove spaces from refrigerant codes (e.g., \u2018R 600a 34 g\u2019 \u2192 \u2018R600a\u2019). Preserve country capitalization.\\n\\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "c297ac0e259de65b105f52c1826f15e0eff2835fab75b026bab24bbf7cd33ba2", "category": "structured", "subset": "4890639a29ac37cd", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "fe9642bc3dfaffd6440bb4b6b68686c598fe44af4f17b291d98622aad3a15a99", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on this appliance identification label. Return only a valid JSON object with these fields:\n\n{\n \"brand\": null,\n \"model_number\": null,\n \"product_number\": null,\n \"serial_number\": null,\n \"voltage\": null,\n \"frequency\": null,\n \"refrigerant\": null,\n \"country_of_manufacture\": null\n}\n\nUse Model/MOD., Product/PROD.NO. and Serial/SER.NO. for their respective identifiers. Remove spaces within identifiers but retain hyphens and leading zeros. Use Type only if explicitly labeled as the model. Retain units for voltage and frequency; exclude refrigerant charge from refrigerant (e.g., \u201cR600a 40g\u201d \u2192 \u201cR600a\u201d). Use only an explicit Made in statement for country_of_manufacture.\n\nFormat voltage and frequency as the printed number or range followed by one space and V or Hz; use - for ranges and omit AC/~ symbols. Remove spaces from refrigerant codes (e.g., \u2018R 600a 34 g\u2019 \u2192 \u2018R600a\u2019). Preserve country capitalization.\n\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 8, "reference_fields": 8, "predicted_fields": 8, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 3.2687}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 563, "image": "image_140df6e480a011b6a5388342_png_jpg.rf.882525fecbb73489036e78c4fa12c98c.jpg", "expected": "{\"columns\":[null,null,\"UDIT RAJ\",\"YOGENDER CHANDOLIYA\",\"VIJAY BAUDDH\",\"K M KAJAL\",\"ADV. KRUPAL\",\"KHILKHILAKAR\",\"NAND RAM BAGRI\",\"NARESH KUMAR\",\"POOJA (BHAGTANI)\",\"PRAVEEN GAUTAM\",\"PREETI\",\"ADVOCATE DR. MAHENDER SINGH CHURIYANA\",\"RAJENDER SOOD\",\"SHYAM BHARTEEY\",\"ADVOCATE SATISH CHANDRA\",\"SUBHASH\",\"SURESH KUMAR\",\"SANJAY KUMAR SIWAL\",\"ADITI\",\"CHANDER PAL SONI\",\"NARESH KUMAR\",\"PARMENDRA MANJHI\",\"PUSHPA NAGRA\",\"PRADEEP KUMAR\",\"SATYA PRAKASH UTTRAKHANDI\",\"HARI KISHAN (MECHANIC)\",\"Total of Valid Votes\",\"No. Of Rejected Votes\",\"Votes for NOTA\",\"Total\",\"No. Of Tendered Votes\"],\"rows\":[[\"181\",\"180\",\"270\",\"410\",\"9\",\"1\",\"0\",\"0\",\"1\",\"1\",\"0\",\"0\",\"0\",\"2\",\"1\",\"0\",\"0\",\"1\",\"0\",\"2\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"700\",\"0\",\"5\",\"705\",\"0\"],[\"182\",\"181\",\"187\",\"302\",\"6\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"2\",\"0\",\"0\",\"1\",\"0\",\"3\",\"2\",\"2\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"505\",\"0\",\"5\",\"510\",\"0\"],[\"183\",\"182\",\"200\",\"377\",\"4\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"1\",\"1\",\"1\",\"3\",\"2\",\"0\",\"0\",\"0\",\"2\",\"0\",\"0\",\"0\",\"1\",\"0\",\"595\",\"0\",\"2\",\"597\",\"0\"],[\"184\",\"183\",\"188\",\"322\",\"9\",\"2\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"1\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"525\",\"0\",\"3\",\"528\",\"0\"],[\"185\",\"184\",\"180\",\"324\",\"3\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"2\",\"0\",\"2\",\"0\",\"0\",\"1\",\"0\",\"1\",\"2\",\"2\",\"0\",\"1\",\"0\",\"1\",\"521\",\"0\",\"1\",\"522\",\"0\"],[\"186\",\"185\",\"317\",\"447\",\"10\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"2\",\"0\",\"2\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"1\",\"0\",\"0\",\"1\",\"0\",\"2\",\"0\",\"785\",\"0\",\"2\",\"787\",\"0\"],[\"187\",\"186\",\"492\",\"323\",\"6\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"1\",\"0\",\"0\",\"3\",\"1\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"1\",\"1\",\"831\",\"0\",\"6\",\"837\",\"0\"],[\"188\",\"187\",\"471\",\"294\",\"3\",\"0\",\"1\",\"0\",\"0\",\"1\",\"0\",\"2\",\"0\",\"1\",\"0\",\"1\",\"1\",\"2\",\"3\",\"3\",\"0\",\"0\",\"1\",\"2\",\"0\",\"0\",\"1\",\"0\",\"787\",\"0\",\"2\",\"789\",\"0\"]]}", "predicted": "{\"columns\":[null,\"Serial No. Of Polling Station\",\"UDIT RAJ\",\"YOGENDER CHANDOLIYA\",\"VIJAY BAUDDH\",\"K M KAJAL\",\"ADV. KRUPAL\",\"KHILKHILAKAR\",\"NAND RAM BAGRI\",\"NARESH KUMAR\",\"POOJA (BHAGTANI)\",\"PRAVEEN GAUTAM\",\"PREETI\",\"ADVOCATE DR. MAHENDER SINGH CHURIYANA\",\"RAJENDER SOOD\",\"SHYAM BHARTEEY\",\"ADVOCATE SATISH CHANDRA\",\"SUBHASH\",\"SURESH KUMAR\",\"SANJAY KUMAR SIWAL\",\"ADITI\",\"CHANDER PAL SONI\",\"NARESH KUMAR\",\"PARMENDRA MANJHI\",\"PUSHPA NAGRA\",\"PRADEEP KUMAR\",\"SATYA PRAKASH UTTRAKHANDI\",\"HARI KISHAN (MECHANIC)\",\"Total of Valid Votes\",\"No. Of Rejected Votes\",\"Votes for NOTA\",\"Total\",\"No. Of Tendered Votes\"],\"rows\":[[\"181\",\"180\",\"270\",\"410\",\"9\",\"1\",\"0\",\"0\",\"1\",\"1\",\"0\",\"0\",\"0\",\"2\",\"1\",\"0\",\"0\",\"1\",\"0\",\"2\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"700\",\"0\",\"5\",\"705\",\"0\"],[\"182\",\"181\",\"187\",\"302\",\"6\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"2\",\"0\",\"0\",\"1\",\"0\",\"3\",\"2\",\"2\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"505\",\"0\",\"5\",\"510\",\"0\"],[\"183\",\"182\",\"200\",\"377\",\"4\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"1\",\"1\",\"1\",\"3\",\"2\",\"0\",\"0\",\"0\",\"2\",\"0\",\"0\",\"0\",\"1\",\"0\",\"595\",\"0\",\"2\",\"597\",\"0\"],[\"184\",\"183\",\"188\",\"322\",\"9\",\"2\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"1\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"525\",\"0\",\"3\",\"528\",\"0\"],[\"185\",\"184\",\"180\",\"324\",\"3\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"2\",\"0\",\"2\",\"0\",\"0\",\"1\",\"0\",\"1\",\"2\",\"2\",\"0\",\"1\",\"0\",\"1\",\"521\",\"0\",\"1\",\"522\",\"0\"],[\"186\",\"185\",\"317\",\"447\",\"10\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"2\",\"0\",\"2\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"1\",\"0\",\"0\",\"1\",\"0\",\"2\",\"0\",\"785\",\"0\",\"2\",\"787\",\"0\"],[\"187\",\"186\",\"492\",\"323\",\"6\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"1\",\"0\",\"0\",\"3\",\"1\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"1\",\"1\",\"831\",\"0\",\"6\",\"837\",\"0\"],[\"188\",\"187\",\"471\",\"294\",\"3\",\"0\",\"1\",\"0\",\"0\",\"1\",\"0\",\"2\",\"0\",\"1\",\"0\",\"1\",\"1\",\"2\",\"3\",\"3\",\"0\",\"0\",\"1\",\"2\",\"0\",\"0\",\"1\",\"0\",\"787\",\"0\",\"2\",\"789\",\"0\"]]}", "correct": false, "input_tokens": 1281, "output_tokens": 831, "elapsed_seconds": 12.435342832934111, "metadata": {"question": "{\"question\": \"Extract the election-results table from this image. Return only a valid JSON object with this structure:\\n\\n{\\n \\\"columns\\\": [],\\n \\\"rows\\\": []\\n}\\n\\nReturn every leaf column left-to-right, including row identifiers, candidate names and summary columns. Join multi-line column headings with spaces; omit shared spanning headings. Use null for a leaf column without its own heading; do not invent or duplicate a spanning heading. Return rows as arrays of cells aligned with columns, top-to-bottom, including any printed total rows. Preserve zeros, identifiers and printed symbols; use null for blank or unreadable cells, never 0. Do not calculate totals or fill values from neighboring cells. Each row must contain exactly one cell per column.\\n\\nPreserve text as printed or handwritten, joining line breaks within a field with spaces. Do not infer missing information or translate. Include every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "c3ab275813d482d1000ec12f7f187d2fdaea5f45166b54420c3ecafc83ff8f0b", "category": "structured", "subset": "632de14cb0143303", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "144476bc36d203ab258a7ee46f98a6a0d3ce4014acb5080386e1cb49d79e2b6a", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the election-results table from this image. Return only a valid JSON object with this structure:\n\n{\n \"columns\": [],\n \"rows\": []\n}\n\nReturn every leaf column left-to-right, including row identifiers, candidate names and summary columns. Join multi-line column headings with spaces; omit shared spanning headings. Use null for a leaf column without its own heading; do not invent or duplicate a spanning heading. Return rows as arrays of cells aligned with columns, top-to-bottom, including any printed total rows. Preserve zeros, identifiers and printed symbols; use null for blank or unreadable cells, never 0. Do not calculate totals or fill values from neighboring cells. Each row must contain exactly one cell per column.\n\nPreserve text as printed or handwritten, joining line breaks within a field with spaces. Do not infer missing information or translate. Include every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 0.9966, "status": "ok", "format_compliant": true, "matched_fields": 296, "reference_fields": 297, "predicted_fields": 297, "non_null_field_accuracy": 1.0, "object_exact_match": false, "attempts": 1, "retries": 0, "total_seconds": 12.4946}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 564, "image": "image_b7396824c12958f66e8b563a_jpg.rf.9cb03b825c6535ea034b99735a1ae785.jpg", "expected": "{\"grading\":{\"year\":\"2016\",\"set_name\":\"POKEMON EVOLUTIONS\",\"grade\":\"10\",\"certification_number\":\"0767613\"},\"card\":{\"name\":\"Mewtwo\",\"hp\":\"180\",\"evolves_from\":null,\"card_number\":\"103/108\",\"illustrator\":\"Ryo Ueda\"}}", "predicted": "{\n \"grading\": {\n \"year\": \"2016\",\n \"set_name\": \"POKEMON EVOLUTIONS\",\n \"grade\": \"10\",\n \"certification_number\": \"0767613\"\n },\n \"card\": {\n \"name\": \"Mewtwo\",\n \"hp\": \"180\",\n \"evolves_from\": null,\n \"card_number\": \"103/108\",\n \"illustrator\": \"Ryo Ueda\"\n }\n}", "correct": true, "input_tokens": 1375, "output_tokens": 133, "elapsed_seconds": 4.255405916948803, "metadata": {"question": "{\"question\": \"Extract the information printed on this SGC-graded trading card and its holder. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"grading\\\": {\\n \\\"year\\\": null,\\n \\\"set_name\\\": null,\\n \\\"grade\\\": null,\\n \\\"certification_number\\\": null\\n },\\n \\\"card\\\": {\\n \\\"name\\\": null,\\n \\\"hp\\\": null,\\n \\\"evolves_from\\\": null,\\n \\\"card_number\\\": null,\\n \\\"illustrator\\\": null\\n }\\n}\\n\\nRead grading fields from the holder and card fields from the card. Return the numeric grade only (e.g., \u201c8.5 NM/MT+\u201d \u2192 \u201c8.5\u201d). Exclude gameplay suffixes and level indicators from Pok\u00e9mon names (e.g., \u201cLatias ex\u201d \u2192 \u201cLatias\u201d). Return HP as digits only (e.g., \u201c120 HP\u201d \u2192 \u201c120\u201d).\\n\\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "06162ad49993c1ad4650c5ab954e4dade0042e43553649049ce1ddd2971e6640", "category": "structured", "subset": "6c56b14aa8dbe996", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "3d7c8e34f4a711b81a35b3a998d8e03627977fef326947f377959e4ff3643a2d", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on this SGC-graded trading card and its holder. Return only a valid JSON object with these fields:\n\n{\n \"grading\": {\n \"year\": null,\n \"set_name\": null,\n \"grade\": null,\n \"certification_number\": null\n },\n \"card\": {\n \"name\": null,\n \"hp\": null,\n \"evolves_from\": null,\n \"card_number\": null,\n \"illustrator\": null\n }\n}\n\nRead grading fields from the holder and card fields from the card. Return the numeric grade only (e.g., \u201c8.5 NM/MT+\u201d \u2192 \u201c8.5\u201d). Exclude gameplay suffixes and level indicators from Pok\u00e9mon names (e.g., \u201cLatias ex\u201d \u2192 \u201cLatias\u201d). Return HP as digits only (e.g., \u201c120 HP\u201d \u2192 \u201c120\u201d).\n\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 9, "reference_fields": 9, "predicted_fields": 9, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 4.3383}} -{"model": "gemini-4-argon-eap", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 565, "image": "image_a271ebaa09a46cfc746d6957_jpg.rf.727ebb32f3b3396be66b7fde452e9416.jpg", "expected": "P 03102020\"},{\"bbox\":[123,66,194,74],\"text\":\"Better think twice,\"},{\"bbox\":[123,77,250,85],\"text\":\"Before this mistake spreads out,\"},{\"bbox\":[123,88,225,96],\"text\":\"Better learn from the past,\"},{\"bbox\":[123,99,266,107],\"text\":\"Before my mind gets clouded again,\"},{\"bbox\":[123,110,162,118],\"text\":\"Better get\"},{\"bbox\":[279,299,521,370],\"text\":\"AWAY\"},{\"bbox\":[494,557,514,565],\"text\":\"soon,\"},{\"bbox\":[380,568,515,576],\"text\":\"Before you can get into my head,\"},{\"bbox\":[445,578,516,587],\"text\":\"For the last time.\"}]", "predicted": "[{\"box_2d\": [71, 732, 82, 807], \"text\": \"> 03102020\"}, {\"box_2d\": [103, 192, 116, 304], \"text\": \"Better think twice,\"}, {\"box_2d\": [120, 192, 134, 394], \"text\": \"Before this mistake spreads out,\"}, {\"box_2d\": [137, 192, 151, 354], \"text\": \"Better learn from the past,\"}, {\"box_2d\": [154, 192, 168, 417], \"text\": \"Before my mind gets clouded again,\"}, {\"box_2d\": [171, 192, 185, 254], \"text\": \"Better get\"}, {\"box_2d\": [471, 434, 580, 815], \"text\": \"AWAY\"}, {\"box_2d\": [871, 767, 882, 804], \"text\": \"soon,\"}, {\"box_2d\": [886, 595, 900, 804], \"text\": \"Before you can get into my head,\"}, {\"box_2d\": [903, 698, 916, 803], \"text\": \"For the last time.\"}]", "correct": true, "input_tokens": 1327, "output_tokens": 1592, "elapsed_seconds": 15.331793874967843, "metadata": {"question": "{\"question\": \"Locate and transcribe visible text on the poster.\", \"specification\": \"Use one box per text line; keep separate words or letter groups on strongly curved paths in separate boxes. Include rotated text. Exclude decorative shapes, photographs and non-text graphics. Return plain text, not LaTeX.\\n\\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\", \"task\": \"localization_recognition\"}", "sample_id": "9f9bce5f7cd452eaf489fc5714087059ac9412c2d8b85a8d0cc2a1d0ac3cf429", "category": "localization_recognition", "subset": "a0ebbce28fa5095a", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "edf9e83bd0fc869660e47b9b78ba13e03e5172d3064dbe7145f072c53b5bf262", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe visible text on the poster.\n\nUse one box per text line; keep separate words or letter groups on strongly curved paths in separate boxes. Include rotated text. Exclude decorative shapes, photographs and non-text graphics. Return plain text, not LaTeX.\n\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 1.0, "status": "ok", "format_compliant": true, "detection_f1": 1.0, "matched_regions": 10, "reference_regions": 10, "predicted_regions": 10, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 15.3432}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 451, "image": "image_c1e22a86b1a4e7e27937d86d_jpg.rf.a942076043a764ebf7c99252106e01ff.jpg", "expected": "[{\"bbox\":[459,161,529,199],\"text\":\"All I'm asking for is a quick audience.\"},{\"bbox\":[202,222,255,248],\"text\":\"Guess not.\"},{\"bbox\":[334,230,406,263],\"text\":\"Look, all I'm saying is --\"},{\"bbox\":[46,560,97,586],\"text\":\"All right?\"},{\"bbox\":[359,482,433,516],\"text\":\"I knew no one was listening.\"}]", "predicted": "[{\"box_2d\": [252, 717, 306, 824], \"text\": \"All I'm asking for is a quick audience.\"}, {\"box_2d\": [349, 319, 383, 396], \"text\": \"Guess not.\"}, {\"box_2d\": [362, 523, 405, 629], \"text\": \"Look, all I'm saying is --\"}, {\"box_2d\": [877, 74, 911, 146], \"text\": \"All right?\"}, {\"box_2d\": [754, 563, 802, 676], \"text\": \"I knew no one was listening.\"}]", "correct": true, "input_tokens": 1321, "output_tokens": 934, "elapsed_seconds": 9.380749332951382, "metadata": {"question": "{\"question\": \"Locate and transcribe all speech and thought bubbles in this comic image.\", \"specification\": \"Use one tight, axis-aligned bounding box around each bubble\u2019s body, excluding its tail. Keep separate bubbles in separate boxes.\\n\\n\\n\\nPreserve the text as printed, including capitalization and punctuation. Join line breaks within each bubble with spaces. Exclude captions, sound effects, and text outside bubbles. Do not infer missing characters or translate. Use null for a visible bubble whose text cannot be read. Do not include explanations or Markdown.\\n\\nReturn entries in the intended reading order. If no bubbles are visible, return [].\", \"task\": \"localization_recognition\"}", "sample_id": "a7afa80034f593c4ef0d837c6735b215b4641d6da7e840d795dc6c4ca11d9a32", "category": "localization_recognition", "subset": "6174981f0649e07d", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "19954f8fd7efb921033c041f517efc07c039d4d1239cdb8605ca3a25f3653dee", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe all speech and thought bubbles in this comic image.\n\nUse one tight, axis-aligned bounding box around each bubble\u2019s body, excluding its tail. Keep separate bubbles in separate boxes.\n\n\n\nPreserve the text as printed, including capitalization and punctuation. Join line breaks within each bubble with spaces. Exclude captions, sound effects, and text outside bubbles. Do not infer missing characters or translate. Use null for a visible bubble whose text cannot be read. Do not include explanations or Markdown.\n\nReturn entries in the intended reading order. If no bubbles are visible, return [].\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 1.0, "status": "ok", "format_compliant": true, "detection_f1": 1.0, "matched_regions": 5, "reference_regions": 5, "predicted_regions": 5, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 9.4112}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 452, "image": "image_c1e22a86b1a4e7e27937d86d_jpg.rf.a942076043a764ebf7c99252106e01ff.jpg", "expected": "All I'm asking for is a quick audience.\nGuess not.\nLook, all I'm saying is --\nAll right?\nI knew no one was listening.", "predicted": "All I'm asking for is a quick audience.\nGuess not.\nLook, all I'm saying is --\nAll right?\nI knew no one was listening.", "correct": true, "input_tokens": 1191, "output_tokens": 448, "elapsed_seconds": 6.549724707962014, "metadata": {"question": "{\"question\": \"Read the text inside the speech and thought bubbles in this comic image, following the intended reading order. Return each bubble\u2019s text on a separate line.\\n\\nPreserve the text as printed, including capitalization and punctuation. Join line breaks within each bubble with spaces. Exclude captions, sound effects, and text outside bubbles. Do not translate or explain.\", \"task\": \"transcription\"}", "sample_id": "738d215f56e0e9f6ebe061b258310dfb9047af7230b577a1adfe6d7195ef7d56", "category": "transcription", "subset": "a0b750b70bf54a22", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "19954f8fd7efb921033c041f517efc07c039d4d1239cdb8605ca3a25f3653dee", "text_protocol": "mixed-text-v2", "scoring_profile": "transcription", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the text inside the speech and thought bubbles in this comic image, following the intended reading order. Return each bubble\u2019s text on a separate line.\n\nPreserve the text as printed, including capitalization and punctuation. Join line breaks within each bubble with spaces. Exclude captions, sound effects, and text outside bubbles. Do not translate or explain.", "match_method": "transcription", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 6.581}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 453, "image": "image_06c2d534570406820b59e398_jpg.rf.e2fc54227891cc153657f6b764cb533a.jpg", "expected": "250218", "predicted": "250218", "correct": true, "input_tokens": 1148, "output_tokens": 743, "elapsed_seconds": 9.692825083970092, "metadata": {"question": "{\"question\": \"Read the six-digit code engraved on the metal surface. Return only the code as a string of digits, preserving leading zeros. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "497c2adf3597acdd7a8caa14c03c4b77b1e49dad12da7d4b8d69740e600f1c1d", "category": "single_string", "subset": "f2a87f15a0d3eb96", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "a4968765361328a206185953c32ab20c35e3914832bfa58d704bd027a67f2328", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the six-digit code engraved on the metal surface. Return only the code as a string of digits, preserving leading zeros. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 9.7091}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 454, "image": "image_e806f52f2a24c47abdba596e_jpg.rf.41d66ddcf73bb2d1cbc620dbb9b629c4.jpg", "expected": "94.4", "predicted": "94.4", "correct": true, "input_tokens": 1131, "output_tokens": 668, "elapsed_seconds": 16.19573770801071, "metadata": {"question": "{\"question\": \"Read the main temperature value shown on the thermometer display. Return only the numeric reading, preserving the decimal point and trailing zeros. Exclude units and icons. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "b7c600d25df9d991091df08a191ffe2fa43227419d6cda8afa78138e12e240de", "category": "single_string", "subset": "86f51b3c3dae6d11", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "f919e3ec9e700f91cb0aff91022aa6967b1609af79f60d34612642605f2b2616", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the main temperature value shown on the thermometer display. Return only the numeric reading, preserving the decimal point and trailing zeros. Exclude units and icons. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 16.7159}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 455, "image": "image_464d6d93ca1b66c942fef9f6_jpg.rf.3dc5fd384fc4f7dcd267656dc7f858ad.jpg", "expected": "0.536", "predicted": "0.536", "correct": true, "input_tokens": 1167, "output_tokens": 934, "elapsed_seconds": 12.883348457980901, "metadata": {"question": "{\"question\": \"Read the weight shown on the digital scale in this image. Return only the numeric reading, preserving the decimal separator and any minus sign. Do not include units or explain.\", \"task\": \"single_string\"}", "sample_id": "727cdcc5a56d762a68829829b4431620da37be47e3e5361aab2a54941432a54e", "category": "single_string", "subset": "2230d8632391d9a6", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "0aa33d8daa3ffa6ef4f014b022b93aa5752f1eb4cf5fdb21108a5738f85d44fe", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the weight shown on the digital scale in this image. Return only the numeric reading, preserving the decimal separator and any minus sign. Do not include units or explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 12.9903}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 456, "image": "image_002cab1e857745fde7424bad_jpg.rf.f342575fb0f56aa4a54e6e643374798c.jpg", "expected": "{\"route_number\":\"36 (2-40)\",\"bus_number\":\"4-44094\",\"destination_sign\":\"\u0e2b\u0e21\u0e14\u0e23\u0e30\u0e22\u0e30 \u0e2b\u0e49\u0e27\u0e22\u0e02\u0e27\u0e32\u0e07\",\"license_plate\":\"12-5246\"}", "predicted": "{\n \"route_number\": \"36 (2-40)\",\n \"bus_number\": \"4-44094\",\n \"destination_sign\": \"\u0e2b\u0e21\u0e14\u0e23\u0e30\u0e22\u0e30 \u0e2b\u0e49\u0e27\u0e22\u0e02\u0e27\u0e32\u0e07\",\n \"license_plate\": \"12-5246\"\n}", "correct": true, "input_tokens": 1209, "output_tokens": 1425, "elapsed_seconds": 22.766632916987874, "metadata": {"question": "{\"question\": \"Extract the information printed on the main bus in this image. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"route_number\\\": null,\\n \\\"bus_number\\\": null,\\n \\\"destination_sign\\\": null,\\n \\\"license_plate\\\": null\\n}\\n\\nPreserve the text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "d10d34e96c8db48ed1a690d1f8176c22993da3029c4e33e27a60561cddd99f83", "category": "structured", "subset": "477b707cebbcd6df", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "3674743325dd3bfe4a9a537c3e59ddcba42809c0a4fad74ae397c1c1e11e6888", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on the main bus in this image. Return only a valid JSON object with these fields:\n\n{\n \"route_number\": null,\n \"bus_number\": null,\n \"destination_sign\": null,\n \"license_plate\": null\n}\n\nPreserve the text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 4, "reference_fields": 4, "predicted_fields": 4, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 23.2626}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 457, "image": "image_b9f7b953df00ce059f0e5928_jpg.rf.3a35d091c9cf16a7366cf37ff144c4c6.jpg", "expected": "[{\"bbox\":[2131,360,2218,452],\"text\":\"Q\"},{\"bbox\":[1994,501,2070,590],\"text\":\"H\"},{\"bbox\":[2172,504,2191,591],\"text\":\"I\"},{\"bbox\":[2292,535,2365,630],\"text\":\"S\"},{\"bbox\":[2283,685,2355,772],\"text\":\"T\"},{\"bbox\":[2287,826,2373,916],\"text\":\"O\"},{\"bbox\":[2141,956,2226,1046],\"text\":\"R\"},{\"bbox\":[1993,965,2079,1055],\"text\":\"O\"},{\"bbox\":[1831,968,1945,1059],\"text\":\"W\"},{\"bbox\":[2297,969,2375,1059],\"text\":\"N\"},{\"bbox\":[2311,1112,2380,1202],\"text\":\"E\"},{\"bbox\":[1853,1117,1940,1207],\"text\":\"A\"},{\"bbox\":[1564,1252,1635,1343],\"text\":\"B\"},{\"bbox\":[1704,1252,1790,1344],\"text\":\"A\"},{\"bbox\":[2013,1261,2092,1352],\"text\":\"D\"},{\"bbox\":[1871,1265,1931,1356],\"text\":\"L\"},{\"bbox\":[1569,1401,1642,1492],\"text\":\"U\"},{\"bbox\":[1860,1413,1934,1504],\"text\":\"T\"},{\"bbox\":[1276,1526,1329,1617],\"text\":\"J\"},{\"bbox\":[1411,1532,1497,1624],\"text\":\"O\"},{\"bbox\":[1565,1549,1648,1641],\"text\":\"Y\"},{\"bbox\":[1865,1560,1940,1652],\"text\":\"Z\"},{\"bbox\":[1260,1674,1346,1767],\"text\":\"A\"},{\"bbox\":[1571,1811,1643,1902],\"text\":\"T\"},{\"bbox\":[1422,1814,1495,1907],\"text\":\"U\"},{\"bbox\":[1264,1822,1351,1916],\"text\":\"G\"},{\"bbox\":[1270,1971,1343,2065],\"text\":\"U\"},{\"bbox\":[1262,2121,1349,2217],\"text\":\"A\"},{\"bbox\":[1724,2252,1790,2347],\"text\":\"F\"},{\"bbox\":[1571,2260,1642,2354],\"text\":\"E\"},{\"bbox\":[1446,2268,1468,2363],\"text\":\"I\"},{\"bbox\":[1261,2276,1346,2370],\"text\":\"R\"},{\"bbox\":[1107,2278,1195,2375],\"text\":\"G\"},{\"bbox\":[1753,2408,1776,2504],\"text\":\"I\"},{\"bbox\":[1892,2555,1967,2654],\"text\":\"E\"},{\"bbox\":[1730,2560,1817,2658],\"text\":\"V\"},{\"bbox\":[1580,2571,1669,2669],\"text\":\"O\"},{\"bbox\":[1428,2578,1509,2675],\"text\":\"D\"},{\"bbox\":[1749,2718,1825,2818],\"text\":\"E\"},{\"bbox\":[1442,2733,1517,2834],\"text\":\"E\"},{\"bbox\":[1449,2892,1525,2994],\"text\":\"E\"},{\"bbox\":[1468,3058,1549,3157],\"text\":\"D\"},{\"bbox\":[1313,3065,1396,3169],\"text\":\"N\"},{\"bbox\":[1154,3070,1245,3172],\"text\":\"A\"},{\"bbox\":[1003,3080,1081,3178],\"text\":\"H\"},{\"bbox\":[698,3095,779,3194],\"text\":\"K\"},{\"bbox\":[1010,3240,1086,3339],\"text\":\"U\"},{\"bbox\":[705,3257,778,3357],\"text\":\"E\"},{\"bbox\":[854,3404,945,3506],\"text\":\"O\"},{\"bbox\":[1019,3404,1096,3503],\"text\":\"T\"},{\"bbox\":[708,3422,772,3522],\"text\":\"L\"},{\"bbox\":[708,3584,784,3684],\"text\":\"P\"},{\"bbox\":[577,3589,600,3691],\"text\":\"I\"},{\"bbox\":[387,3606,471,3707],\"text\":\"I\"}]", "predicted": "[{\"box_2d\": [90, 704, 114, 732], \"text\": \"Q\"}, {\"box_2d\": [124, 659, 146, 683], \"text\": \"H\"}, {\"box_2d\": [127, 718, 148, 725], \"text\": \"I\"}, {\"box_2d\": [133, 758, 156, 782], \"text\": \"S\"}, {\"box_2d\": [170, 757, 192, 781], \"text\": \"T\"}, {\"box_2d\": [205, 758, 227, 786], \"text\": \"O\"}, {\"box_2d\": [240, 606, 263, 643], \"text\": \"W\"}, {\"box_2d\": [239, 661, 262, 689], \"text\": \"O\"}, {\"box_2d\": [237, 709, 259, 734], \"text\": \"R\"}, {\"box_2d\": [241, 761, 263, 785], \"text\": \"N\"}, {\"box_2d\": [277, 615, 299, 642], \"text\": \"A\"}, {\"box_2d\": [276, 764, 298, 786], \"text\": \"E\"}, {\"box_2d\": [310, 518, 333, 542], \"text\": \"B\"}, {\"box_2d\": [312, 565, 334, 592], \"text\": \"A\"}, {\"box_2d\": [313, 619, 336, 639], \"text\": \"L\"}, {\"box_2d\": [312, 667, 335, 691], \"text\": \"D\"}, {\"box_2d\": [347, 520, 369, 543], \"text\": \"U\"}, {\"box_2d\": [351, 616, 373, 640], \"text\": \"T\"}, {\"box_2d\": [379, 422, 401, 439], \"text\": \"J\"}, {\"box_2d\": [380, 469, 403, 497], \"text\": \"O\"}, {\"box_2d\": [384, 518, 406, 545], \"text\": \"Y\"}, {\"box_2d\": [386, 617, 409, 642], \"text\": \"Z\"}, {\"box_2d\": [415, 419, 438, 446], \"text\": \"A\"}, {\"box_2d\": [452, 419, 475, 446], \"text\": \"G\"}, {\"box_2d\": [451, 471, 473, 495], \"text\": \"U\"}, {\"box_2d\": [449, 519, 472, 545], \"text\": \"T\"}, {\"box_2d\": [489, 421, 512, 445], \"text\": \"U\"}, {\"box_2d\": [526, 419, 549, 447], \"text\": \"A\"}, {\"box_2d\": [565, 367, 588, 395], \"text\": \"G\"}, {\"box_2d\": [563, 418, 587, 445], \"text\": \"R\"}, {\"box_2d\": [562, 479, 585, 486], \"text\": \"I\"}, {\"box_2d\": [560, 519, 583, 542], \"text\": \"E\"}, {\"box_2d\": [558, 571, 581, 592], \"text\": \"F\"}, {\"box_2d\": [597, 579, 621, 587], \"text\": \"I\"}, {\"box_2d\": [640, 473, 663, 499], \"text\": \"D\"}, {\"box_2d\": [637, 522, 661, 552], \"text\": \"O\"}, {\"box_2d\": [634, 573, 658, 601], \"text\": \"V\"}, {\"box_2d\": [633, 627, 657, 650], \"text\": \"E\"}, {\"box_2d\": [678, 478, 702, 502], \"text\": \"E\"}, {\"box_2d\": [673, 579, 698, 603], \"text\": \"E\"}, {\"box_2d\": [717, 481, 742, 505], \"text\": \"E\"}, {\"box_2d\": [767, 233, 791, 259], \"text\": \"K\"}, {\"box_2d\": [763, 332, 787, 358], \"text\": \"H\"}, {\"box_2d\": [761, 381, 786, 411], \"text\": \"A\"}, {\"box_2d\": [759, 435, 784, 462], \"text\": \"N\"}, {\"box_2d\": [757, 486, 782, 512], \"text\": \"D\"}, {\"box_2d\": [807, 234, 831, 257], \"text\": \"E\"}, {\"box_2d\": [802, 335, 827, 360], \"text\": \"U\"}, {\"box_2d\": [846, 236, 872, 256], \"text\": \"L\"}, {\"box_2d\": [844, 282, 869, 312], \"text\": \"O\"}, {\"box_2d\": [843, 336, 869, 362], \"text\": \"T\"}, {\"box_2d\": [894, 130, 919, 156], \"text\": \"D\"}, {\"box_2d\": [891, 193, 916, 199], \"text\": \"I\"}, {\"box_2d\": [888, 234, 913, 259], \"text\": \"P\"}]", "correct": false, "input_tokens": 1301, "output_tokens": 4505, "elapsed_seconds": 41.90186054096557, "metadata": {"question": "{\"question\": \"Locate and transcribe the large letter on every visible letter tile.\", \"specification\": \"Use one tight box around each letter, not the tile boundary; keep adjacent tiles separate. Include rotated letters; exclude point values, blank tiles and background text. Return plain text, not LaTeX.\\n\\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\", \"task\": \"localization_recognition\"}", "sample_id": "3d274e441c7b2b2e611129fe1cd95355b1acf3bae32feb497b64f3041ba07287", "category": "localization_recognition", "subset": "c7e0eb346c8e2ba1", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "efc4f04d1cc35f0af6d499f4a953b41b0781389e36e07ddf0b5df3cf1e402d9b", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe the large letter on every visible letter tile.\n\nUse one tight box around each letter, not the tile boundary; keep adjacent tiles separate. Include rotated letters; exclude point values, blank tiles and background text. Return plain text, not LaTeX.\n\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 0.9815, "status": "ok", "format_compliant": true, "detection_f1": 1.0, "matched_regions": 53, "reference_regions": 54, "predicted_regions": 54, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 42.4409}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 458, "image": "image_b9f7b953df00ce059f0e5928_jpg.rf.3a35d091c9cf16a7366cf37ff144c4c6.jpg", "expected": "BALD\nBUY\nDEED\nDIP\nDOVE\nFIVE\nGRIEF\nGUT\nHAND\nHIS\nHUT\nJAGUAR\nJOY\nKELP\nLOT\nQI\nSTONE\nWALTZ\nWORN", "predicted": "BALD\nBUY\nDEED\nDIP\nDOVE\nFIVE\nGRIEF\nGUT\nHAND\nHIS\nHUT\nJAGUAR\nJOY\nKELP\nLOT\nQI\nSTONE\nWALTZ\nWORN", "correct": true, "input_tokens": 1172, "output_tokens": 2614, "elapsed_seconds": 31.461420250008814, "metadata": {"question": "{\"question\": \"Read all words formed by the letter tiles, including rotated words. Include only words valid in the Merriam-Webster Official Scrabble Players Dictionary. Return them in uppercase, one word per line, in alphabetical order. Preserve spelling and repeated words; do not correct or rearrange letters to make valid words. Ignore isolated letters and background text. Return only the words, without explanations or Markdown.\", \"task\": \"transcription\"}", "sample_id": "d9b2829c238283551444cb91e38be4d7e92ec1c2e93502cda9bdddb9f6051bee", "category": "transcription", "subset": "1b7d212231bfff95", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "efc4f04d1cc35f0af6d499f4a953b41b0781389e36e07ddf0b5df3cf1e402d9b", "text_protocol": "mixed-text-v2", "scoring_profile": "transcription", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read all words formed by the letter tiles, including rotated words. Include only words valid in the Merriam-Webster Official Scrabble Players Dictionary. Return them in uppercase, one word per line, in alphabetical order. Preserve spelling and repeated words; do not correct or rearrange letters to make valid words. Ignore isolated letters and background text. Return only the words, without explanations or Markdown.", "match_method": "transcription", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 32.0065}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 459, "image": "image_ca7c012223fa2db528f0601e_jpg.rf.a628686a40055fef160c02033f872604.jpg", "expected": "94.0", "predicted": "94.0", "correct": true, "input_tokens": 1131, "output_tokens": 224, "elapsed_seconds": 12.197870000032708, "metadata": {"question": "{\"question\": \"Read the main temperature value shown on the thermometer display. Return only the numeric reading, preserving the decimal point and trailing zeros. Exclude units and icons. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "d6f45ad8840cc25d421d7eb02b8b85c042e43e4230f56e57689e442a40a58926", "category": "single_string", "subset": "86f51b3c3dae6d11", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "f70e6e39ea4bd92651481bc504f069f966e1d251269f40dde63bd32af7b9857c", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the main temperature value shown on the thermometer display. Return only the numeric reading, preserving the decimal point and trailing zeros. Exclude units and icons. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 12.6944}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 460, "image": "image_7741fef515874e86dc6044f7_jpg.rf.af4823ea0b348beae0a23e896a1b24f7.jpg", "expected": "{\"grading\":{\"year\":\"1999\",\"set_name\":\"FIRST MOVIE PROMO\",\"grade\":\"8.5\",\"certification_number\":\"7820186\"},\"card\":{\"name\":\"Pikachu\",\"hp\":\"50\",\"evolves_from\":null,\"card_number\":\"4\",\"illustrator\":\"Ken Sugimori\"}}", "predicted": "{\n \"grading\": {\n \"year\": \"1999\",\n \"set_name\": \"POKEMON FIRST MOVIE PROMO\",\n \"grade\": \"8.5\",\n \"certification_number\": \"7820186\"\n },\n \"card\": {\n \"name\": \"Pikachu\",\n \"hp\": \"50\",\n \"evolves_from\": null,\n \"card_number\": \"4\",\n \"illustrator\": \"Ken Sugimori\"\n }\n}", "correct": false, "input_tokens": 1347, "output_tokens": 3967, "elapsed_seconds": 46.119487207964994, "metadata": {"question": "{\"question\": \"Extract the information printed on this SGC-graded trading card and its holder. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"grading\\\": {\\n \\\"year\\\": null,\\n \\\"set_name\\\": null,\\n \\\"grade\\\": null,\\n \\\"certification_number\\\": null\\n },\\n \\\"card\\\": {\\n \\\"name\\\": null,\\n \\\"hp\\\": null,\\n \\\"evolves_from\\\": null,\\n \\\"card_number\\\": null,\\n \\\"illustrator\\\": null\\n }\\n}\\n\\nRead grading fields from the holder and card fields from the card. Return the numeric grade only (e.g., \u201c8.5 NM/MT+\u201d \u2192 \u201c8.5\u201d). Exclude gameplay suffixes and level indicators from Pok\u00e9mon names (e.g., \u201cLatias ex\u201d \u2192 \u201cLatias\u201d). Return HP as digits only (e.g., \u201c120 HP\u201d \u2192 \u201c120\u201d).\\n\\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "03e8eea220d06cd2e6005fdb922bc3c3d6c2e85b93a23339e3d5be5002efc76a", "category": "structured", "subset": "6c56b14aa8dbe996", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "3a6785d1e3f3634b72d6e3e89a6c082ec0ddf09f659eafc3a84ad0ce7f13f877", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on this SGC-graded trading card and its holder. Return only a valid JSON object with these fields:\n\n{\n \"grading\": {\n \"year\": null,\n \"set_name\": null,\n \"grade\": null,\n \"certification_number\": null\n },\n \"card\": {\n \"name\": null,\n \"hp\": null,\n \"evolves_from\": null,\n \"card_number\": null,\n \"illustrator\": null\n }\n}\n\nRead grading fields from the holder and card fields from the card. Return the numeric grade only (e.g., \u201c8.5 NM/MT+\u201d \u2192 \u201c8.5\u201d). Exclude gameplay suffixes and level indicators from Pok\u00e9mon names (e.g., \u201cLatias ex\u201d \u2192 \u201cLatias\u201d). Return HP as digits only (e.g., \u201c120 HP\u201d \u2192 \u201c120\u201d).\n\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 0.8889, "status": "ok", "format_compliant": true, "matched_fields": 8, "reference_fields": 9, "predicted_fields": 9, "non_null_field_accuracy": 0.875, "object_exact_match": false, "attempts": 1, "retries": 0, "total_seconds": 46.2179}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 461, "image": "image_aa8330be2ef7aff42720bb2b_jpg.rf.e7f05fbfe6d12f3d827f0badc3287bd6.jpg", "expected": "KMP3-06615", "predicted": "KMP3-06615", "correct": true, "input_tokens": 1168, "output_tokens": 512, "elapsed_seconds": 8.62005870800931, "metadata": {"question": "{\"question\": \"Read the most prominent locomotive or carriage identification code in this image. Include its letter prefix and all digits. Remove spaces; preserve printed hyphens and other punctuation. Exclude route names, depot names and technical specifications. Return only the code, or null if unreadable. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "c5bbfc8d87d7a7f8e1a1e5a319668d54dbaf1b2ce85d1139f421b7f45c57f66c", "category": "single_string", "subset": "4a0ef4856867c9de", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "8e7d4394718a2d47ef105dc341413eff9e889a176b4a8bda59a8f9dcaaa11e25", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the most prominent locomotive or carriage identification code in this image. Include its letter prefix and all digits. Remove spaces; preserve printed hyphens and other punctuation. Exclude route names, depot names and technical specifications. Return only the code, or null if unreadable. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 8.6536}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 462, "image": "image_167bfd7cc4e0874503facd66_jpg.rf.63b0e341410cb7145d21742cf87806a3.jpg", "expected": "01882.2", "predicted": "01882", "correct": false, "input_tokens": 1135, "output_tokens": 2032, "elapsed_seconds": 31.95051654195413, "metadata": {"question": "{\"question\": \"Read the total mileage shown on the odometer in this image. Return only the numeric reading, preserving leading zeros and any decimal separator. Do not include the trip reading, units, or explain.\", \"task\": \"single_string\"}", "sample_id": "973b90c7f672126316a142c0846ca6b1006eb482f28ff889e474961c7a5254e6", "category": "single_string", "subset": "12ff5ae87687aff8", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "89ef0e5bb5b4276037fc3e535da3ce725bdaf36eb403c42627310588a64a2375", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the total mileage shown on the odometer in this image. Return only the numeric reading, preserving leading zeros and any decimal separator. Do not include the trip reading, units, or explain.", "match_method": "single_string", "score": 0.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 31.9805}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 463, "image": "image_44beab8525de5867c99a026b_jpg.rf.9ca5e13e2f95c5d2a30d0991ff1b19a7.jpg", "expected": "{\"heat_number\":\"A79336\",\"billet_id\":\"1033\"}", "predicted": "{\n \"heat_number\": \"A79336\",\n \"billet_id\": \"1033\"\n}", "correct": true, "input_tokens": 1249, "output_tokens": 351, "elapsed_seconds": 7.8875873340293765, "metadata": {"question": "{\"question\": \"Extract the information printed on the end of this metal billet. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"heat_number\\\": null,\\n \\\"billet_id\\\": null\\n}\\n\\nUse the letter-prefixed code for heat_number and the separate shorter numeric code for billet_id. Preserve leading zeros and omit spaces within codes.\\n\\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "dc6024c698487a7b114ac621ce62ce40a6d2b69616cfe4b7d60a2b6e3f09e200", "category": "structured", "subset": "84ce444ef86dc04d", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "75eb3909e732232d6aff5bd3bb97a9290f224325ed4ec4a4aae3624758fadb75", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on the end of this metal billet. Return only a valid JSON object with these fields:\n\n{\n \"heat_number\": null,\n \"billet_id\": null\n}\n\nUse the letter-prefixed code for heat_number and the separate shorter numeric code for billet_id. Preserve leading zeros and omit spaces within codes.\n\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 2, "reference_fields": 2, "predicted_fields": 2, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 7.8948}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 464, "image": "image_6116f045220860cba5fdcfe2_jpg.rf.e2a2960b4bc106e1a71323c11d5ddd5e.jpg", "expected": "{\"serving_size\":\"1 pudding cup (92g)\",\"servings_per_container\":\"4\",\"calories\":\"110\",\"total_fat\":{\"amount\":\"2.5g\",\"daily_value\":\"4%\"},\"saturated_fat\":{\"amount\":\"1.5g\",\"daily_value\":\"8%\"},\"trans_fat\":{\"amount\":\"0g\",\"daily_value\":null},\"cholesterol\":{\"amount\":\"0mg\",\"daily_value\":\"0%\"},\"sodium\":{\"amount\":\"125mg\",\"daily_value\":\"5%\"},\"total_carbohydrate\":{\"amount\":\"20g\",\"daily_value\":\"7%\"},\"dietary_fiber\":{\"amount\":\"less than 1g\",\"daily_value\":\"4%\"},\"total_sugars\":{\"amount\":\"13g\",\"daily_value\":null},\"protein\":{\"amount\":\"1g\",\"daily_value\":null},\"vitamin_a\":{\"amount\":null,\"daily_value\":\"0%\"},\"vitamin_c\":{\"amount\":null,\"daily_value\":\"0%\"},\"calcium\":{\"amount\":null,\"daily_value\":\"30%\"},\"iron\":{\"amount\":null,\"daily_value\":\"0%\"},\"potassium\":{\"amount\":\"65mg\",\"daily_value\":\"2%\"}}", "predicted": "{\n \"serving_size\": \"1 pudding cup (92g)\",\n \"servings_per_container\": \"4\",\n \"calories\": \"110\",\n \"total_fat\": {\"amount\": \"2.5g\", \"daily_value\": \"4%\"},\n \"saturated_fat\": {\"amount\": \"1.5g\", \"daily_value\": \"8%\"},\n \"trans_fat\": {\"amount\": \"0g\", \"daily_value\": null},\n \"cholesterol\": {\"amount\": \"0mg\", \"daily_value\": \"0%\"},\n \"sodium\": {\"amount\": \"125mg\", \"daily_value\": \"5%\"},\n \"total_carbohydrate\": {\"amount\": \"20g\", \"daily_value\": \"7%\"},\n \"dietary_fiber\": {\"amount\": \"less than 1g\", \"daily_value\": \"4%\"},\n \"total_sugars\": {\"amount\": \"13g\", \"daily_value\": null},\n \"protein\": {\"amount\": \"1g\", \"daily_value\": null},\n \"vitamin_a\": {\"amount\": null, \"daily_value\": \"0%\"},\n \"vitamin_c\": {\"amount\": null, \"daily_value\": \"0%\"},\n \"calcium\": {\"amount\": null, \"daily_value\": \"30%\"},\n \"iron\": {\"amount\": null, \"daily_value\": \"0%\"},\n \"potassium\": {\"amount\": \"65mg\", \"daily_value\": \"2%\"}\n}", "correct": true, "input_tokens": 1629, "output_tokens": 1867, "elapsed_seconds": 22.348922500037588, "metadata": {"question": "{\"question\": \"Extract the information printed in the main Nutrition Facts panel in this image. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"serving_size\\\": null,\\n \\\"servings_per_container\\\": null,\\n \\\"calories\\\": null,\\n \\\"total_fat\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"saturated_fat\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"trans_fat\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"cholesterol\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"sodium\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"total_carbohydrate\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"dietary_fiber\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"total_sugars\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"protein\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"vitamin_a\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"vitamin_c\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"calcium\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"iron\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"potassium\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null}\\n}\\n\\nUse per-serving values as packaged, not prepared or per-container values. Use Calories, not Calories from Fat. Map \u201cSugars\u201d to total_sugars.\\n\\nKeep nutrient amounts and daily-value percentages separate (e.g., \u201cCalcium 260 mg 20%\u201d \u2192 {\\\"amount\\\": \\\"260mg\\\", \\\"daily_value\\\": \\\"20%\\\"}). Preserve printed units and qualifiers; do not calculate or convert values.\\n\\nFormat serving_size as household measure followed by metric quantity in parentheses (e.g., \u201c2 pieces 30 g\u201d \u2192 \u201c2 pieces (30g)\u201d). If only one measure is printed, return it alone. Preserve additional serving-size details.\\n\\nRemove spaces between numbers and units or % signs. Preserve all other text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nInclude every key. Use strings for extracted values and null for missing or unreadable values, including individual amounts or percentages. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "e17f3018d685f42b68c692038e65c9a46b580801064e0637280ddf31a8e8528f", "category": "structured", "subset": "3d0c26ee8395584a", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "2c55c913f57dd122d586ed298b44c10c9e2f887d7420fc6b3c6947cbad966820", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed in the main Nutrition Facts panel in this image. Return only a valid JSON object with these fields:\n\n{\n \"serving_size\": null,\n \"servings_per_container\": null,\n \"calories\": null,\n \"total_fat\": {\"amount\": null, \"daily_value\": null},\n \"saturated_fat\": {\"amount\": null, \"daily_value\": null},\n \"trans_fat\": {\"amount\": null, \"daily_value\": null},\n \"cholesterol\": {\"amount\": null, \"daily_value\": null},\n \"sodium\": {\"amount\": null, \"daily_value\": null},\n \"total_carbohydrate\": {\"amount\": null, \"daily_value\": null},\n \"dietary_fiber\": {\"amount\": null, \"daily_value\": null},\n \"total_sugars\": {\"amount\": null, \"daily_value\": null},\n \"protein\": {\"amount\": null, \"daily_value\": null},\n \"vitamin_a\": {\"amount\": null, \"daily_value\": null},\n \"vitamin_c\": {\"amount\": null, \"daily_value\": null},\n \"calcium\": {\"amount\": null, \"daily_value\": null},\n \"iron\": {\"amount\": null, \"daily_value\": null},\n \"potassium\": {\"amount\": null, \"daily_value\": null}\n}\n\nUse per-serving values as packaged, not prepared or per-container values. Use Calories, not Calories from Fat. Map \u201cSugars\u201d to total_sugars.\n\nKeep nutrient amounts and daily-value percentages separate (e.g., \u201cCalcium 260 mg 20%\u201d \u2192 {\"amount\": \"260mg\", \"daily_value\": \"20%\"}). Preserve printed units and qualifiers; do not calculate or convert values.\n\nFormat serving_size as household measure followed by metric quantity in parentheses (e.g., \u201c2 pieces 30 g\u201d \u2192 \u201c2 pieces (30g)\u201d). If only one measure is printed, return it alone. Preserve additional serving-size details.\n\nRemove spaces between numbers and units or % signs. Preserve all other text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nInclude every key. Use strings for extracted values and null for missing or unreadable values, including individual amounts or percentages. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 31, "reference_fields": 31, "predicted_fields": 31, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 22.6516}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 465, "image": "image_6163e7fd90ec240467bb02b7_jpg.rf.45316b7e7b58792258be6a67ee0172ba.jpg", "expected": "{\"serving_size\":\"1/2 cup (120mL) condensed soup\",\"servings_per_container\":\"about 2.5\",\"calories\":\"60\",\"total_fat\":{\"amount\":\"2.5g\",\"daily_value\":\"4%\"},\"saturated_fat\":{\"amount\":\"0.5g\",\"daily_value\":\"3%\"},\"trans_fat\":{\"amount\":\"0g\",\"daily_value\":null},\"cholesterol\":{\"amount\":\"0mg\",\"daily_value\":\"0%\"},\"sodium\":{\"amount\":\"750mg\",\"daily_value\":\"31%\"},\"total_carbohydrate\":{\"amount\":\"9g\",\"daily_value\":\"3%\"},\"dietary_fiber\":{\"amount\":\"1g\",\"daily_value\":\"4%\"},\"total_sugars\":{\"amount\":\"0g\",\"daily_value\":null},\"protein\":{\"amount\":\"1g\",\"daily_value\":null},\"vitamin_a\":{\"amount\":null,\"daily_value\":\"0%\"},\"vitamin_c\":{\"amount\":null,\"daily_value\":\"0%\"},\"calcium\":{\"amount\":null,\"daily_value\":\"2%\"},\"iron\":{\"amount\":null,\"daily_value\":\"0%\"},\"potassium\":{\"amount\":\"60mg\",\"daily_value\":\"2%\"}}", "predicted": "{\n \"serving_size\": \"1/2 cup (120mL) condensed soup\",\n \"servings_per_container\": \"about 2.5\",\n \"calories\": \"60\",\n \"total_fat\": {\"amount\": \"2.5g\", \"daily_value\": \"4%\"},\n \"saturated_fat\": {\"amount\": \"0.5g\", \"daily_value\": \"3%\"},\n \"trans_fat\": {\"amount\": \"0g\", \"daily_value\": null},\n \"cholesterol\": {\"amount\": \"0mg\", \"daily_value\": \"0%\"},\n \"sodium\": {\"amount\": \"750mg\", \"daily_value\": \"31%\"},\n \"total_carbohydrate\": {\"amount\": \"9g\", \"daily_value\": \"3%\"},\n \"dietary_fiber\": {\"amount\": \"1g\", \"daily_value\": \"4%\"},\n \"total_sugars\": {\"amount\": \"0g\", \"daily_value\": null},\n \"protein\": {\"amount\": \"1g\", \"daily_value\": null},\n \"vitamin_a\": {\"amount\": null, \"daily_value\": \"0%\"},\n \"vitamin_c\": {\"amount\": null, \"daily_value\": \"0%\"},\n \"calcium\": {\"amount\": null, \"daily_value\": \"2%\"},\n \"iron\": {\"amount\": null, \"daily_value\": \"0%\"},\n \"potassium\": {\"amount\": \"60mg\", \"daily_value\": \"2%\"}\n}", "correct": true, "input_tokens": 1629, "output_tokens": 1863, "elapsed_seconds": 21.769545790972188, "metadata": {"question": "{\"question\": \"Extract the information printed in the main Nutrition Facts panel in this image. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"serving_size\\\": null,\\n \\\"servings_per_container\\\": null,\\n \\\"calories\\\": null,\\n \\\"total_fat\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"saturated_fat\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"trans_fat\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"cholesterol\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"sodium\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"total_carbohydrate\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"dietary_fiber\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"total_sugars\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"protein\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"vitamin_a\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"vitamin_c\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"calcium\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"iron\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"potassium\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null}\\n}\\n\\nUse per-serving values as packaged, not prepared or per-container values. Use Calories, not Calories from Fat. Map \u201cSugars\u201d to total_sugars.\\n\\nKeep nutrient amounts and daily-value percentages separate (e.g., \u201cCalcium 260 mg 20%\u201d \u2192 {\\\"amount\\\": \\\"260mg\\\", \\\"daily_value\\\": \\\"20%\\\"}). Preserve printed units and qualifiers; do not calculate or convert values.\\n\\nFormat serving_size as household measure followed by metric quantity in parentheses (e.g., \u201c2 pieces 30 g\u201d \u2192 \u201c2 pieces (30g)\u201d). If only one measure is printed, return it alone. Preserve additional serving-size details.\\n\\nRemove spaces between numbers and units or % signs. Preserve all other text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nInclude every key. Use strings for extracted values and null for missing or unreadable values, including individual amounts or percentages. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "34d4c159c57a73e073f10d3c6322aae44fe68228abcfa0d35e63a2fcef145fe4", "category": "structured", "subset": "3d0c26ee8395584a", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "ddb3d1f30f117a066764270d740f3d0b2df8e606198de18ea1a633753b2e1d38", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed in the main Nutrition Facts panel in this image. Return only a valid JSON object with these fields:\n\n{\n \"serving_size\": null,\n \"servings_per_container\": null,\n \"calories\": null,\n \"total_fat\": {\"amount\": null, \"daily_value\": null},\n \"saturated_fat\": {\"amount\": null, \"daily_value\": null},\n \"trans_fat\": {\"amount\": null, \"daily_value\": null},\n \"cholesterol\": {\"amount\": null, \"daily_value\": null},\n \"sodium\": {\"amount\": null, \"daily_value\": null},\n \"total_carbohydrate\": {\"amount\": null, \"daily_value\": null},\n \"dietary_fiber\": {\"amount\": null, \"daily_value\": null},\n \"total_sugars\": {\"amount\": null, \"daily_value\": null},\n \"protein\": {\"amount\": null, \"daily_value\": null},\n \"vitamin_a\": {\"amount\": null, \"daily_value\": null},\n \"vitamin_c\": {\"amount\": null, \"daily_value\": null},\n \"calcium\": {\"amount\": null, \"daily_value\": null},\n \"iron\": {\"amount\": null, \"daily_value\": null},\n \"potassium\": {\"amount\": null, \"daily_value\": null}\n}\n\nUse per-serving values as packaged, not prepared or per-container values. Use Calories, not Calories from Fat. Map \u201cSugars\u201d to total_sugars.\n\nKeep nutrient amounts and daily-value percentages separate (e.g., \u201cCalcium 260 mg 20%\u201d \u2192 {\"amount\": \"260mg\", \"daily_value\": \"20%\"}). Preserve printed units and qualifiers; do not calculate or convert values.\n\nFormat serving_size as household measure followed by metric quantity in parentheses (e.g., \u201c2 pieces 30 g\u201d \u2192 \u201c2 pieces (30g)\u201d). If only one measure is printed, return it alone. Preserve additional serving-size details.\n\nRemove spaces between numbers and units or % signs. Preserve all other text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nInclude every key. Use strings for extracted values and null for missing or unreadable values, including individual amounts or percentages. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 31, "reference_fields": 31, "predicted_fields": 31, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 22.267}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 466, "image": "image_e1f3e8f6c805bc52de7f9b11_jpg.rf.9a71427ac108914516a4b2b8c5087844.jpg", "expected": "{\"application_id\":\"1023654\",\"application_date\":\"7032029\",\"product_type\":\"Home Equity\",\"tenure_months\":\"012\",\"loan_amount\":\"50000000\",\"applicant_name\":\"MUKUL\",\"birth_date\":\"03052001\",\"current_address\":\"FLAT NO. 101 SRI GAJANANA NILAYA VAILAMYA LAYOUT\",\"current_city\":\"BENGALURU\",\"current_state\":\"KARNATAKA\",\"current_postal_code\":\"560035\",\"current_mobile\":\"9876543210\",\"pan_number\":\"FWPNO1234F\"}", "predicted": "{\n \"application_id\": \"1023654\",\n \"application_date\": \"7032029\",\n \"product_type\": \"Home Equity\",\n \"tenure_months\": \"012\",\n \"loan_amount\": \"50000000\",\n \"applicant_name\": \"MUKUL\",\n \"birth_date\": \"03052001\",\n \"current_address\": \"FLAT NO. 101 SRI GAJANANA NILAYA VAILAMYA LAYOUT\",\n \"current_city\": \"BENGALURU\",\n \"current_state\": \"KARNATAKA\",\n \"current_postal_code\": \"560035\",\n \"current_mobile\": \"9876543210\",\n \"pan_number\": \"FWPNO1234F\"\n}", "correct": true, "input_tokens": 1404, "output_tokens": 2170, "elapsed_seconds": 25.200317249982618, "metadata": {"question": "{\"question\": \"Extract the completed applicant and loan fields from this loan application. Return only a valid JSON object with this structure:\\n\\n{\\n \\\"application_id\\\": null,\\n \\\"application_date\\\": null,\\n \\\"product_type\\\": null,\\n \\\"tenure_months\\\": null,\\n \\\"loan_amount\\\": null,\\n \\\"applicant_name\\\": null,\\n \\\"birth_date\\\": null,\\n \\\"current_address\\\": null,\\n \\\"current_city\\\": null,\\n \\\"current_state\\\": null,\\n \\\"current_postal_code\\\": null,\\n \\\"current_mobile\\\": null,\\n \\\"pan_number\\\": null\\n}\\n\\nUse Application ID No., not Application Form No. Read the current address, not the permanent address. Remove spaces between character boxes in identifiers and numbers; retain word spaces in names and addresses. For product_type, copy the single checked option; use null if none or several are selected. Transcribe date-box contents as written without inventing separators, even if malformed. Keep leading zeros in numbers.\\n\\nPreserve spelling, capitalization and punctuation; join line breaks within a field with spaces. Do not infer, correct or translate. Ignore filler dashes in unused boxes. For current_address, include only Current Residence Address lines, excluding the separately labelled landmark, city, state and postal-code fields. Use strings for values and null for missing or unreadable fields. Include every key. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "109a8a02fd738cbf58c79f5399d5c849314b889e4c47fce23d8d068b99776ffc", "category": "structured", "subset": "320cb142e1839899", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "55f5cca67ffe947bdd9a3ab327ac31791ba72704d5ff92d1fcad40bab491edf5", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the completed applicant and loan fields from this loan application. Return only a valid JSON object with this structure:\n\n{\n \"application_id\": null,\n \"application_date\": null,\n \"product_type\": null,\n \"tenure_months\": null,\n \"loan_amount\": null,\n \"applicant_name\": null,\n \"birth_date\": null,\n \"current_address\": null,\n \"current_city\": null,\n \"current_state\": null,\n \"current_postal_code\": null,\n \"current_mobile\": null,\n \"pan_number\": null\n}\n\nUse Application ID No., not Application Form No. Read the current address, not the permanent address. Remove spaces between character boxes in identifiers and numbers; retain word spaces in names and addresses. For product_type, copy the single checked option; use null if none or several are selected. Transcribe date-box contents as written without inventing separators, even if malformed. Keep leading zeros in numbers.\n\nPreserve spelling, capitalization and punctuation; join line breaks within a field with spaces. Do not infer, correct or translate. Ignore filler dashes in unused boxes. For current_address, include only Current Residence Address lines, excluding the separately labelled landmark, city, state and postal-code fields. Use strings for values and null for missing or unreadable fields. Include every key. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 13, "reference_fields": 13, "predicted_fields": 13, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 25.3346}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 467, "image": "image_a55f806ce7be34a0734f8977_jpg.rf.54d448122ebd81b594d4bfb2bdf39118.jpg", "expected": "{\"grading\":{\"year\":\"1999\",\"set_name\":\"POKEMON BASE\",\"grade\":\"8\",\"certification_number\":\"1266635\"},\"card\":{\"name\":\"Charizard\",\"hp\":\"120\",\"evolves_from\":\"Charmeleon\",\"card_number\":\"4/102\",\"illustrator\":\"Mitsuhiro Arita\"}}", "predicted": "{\n \"grading\": {\n \"year\": \"1999\",\n \"set_name\": \"POKEMON BASE\",\n \"grade\": \"8\",\n \"certification_number\": \"1266635\"\n },\n \"card\": {\n \"name\": \"Charizard\",\n \"hp\": \"120\",\n \"evolves_from\": \"Charmeleon\",\n \"card_number\": \"4/102\",\n \"illustrator\": \"Mitsuhiro Arita\"\n }\n}", "correct": true, "input_tokens": 1364, "output_tokens": 590, "elapsed_seconds": 9.245374665944837, "metadata": {"question": "{\"question\": \"Extract the information printed on this SGC-graded trading card and its holder. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"grading\\\": {\\n \\\"year\\\": null,\\n \\\"set_name\\\": null,\\n \\\"grade\\\": null,\\n \\\"certification_number\\\": null\\n },\\n \\\"card\\\": {\\n \\\"name\\\": null,\\n \\\"hp\\\": null,\\n \\\"evolves_from\\\": null,\\n \\\"card_number\\\": null,\\n \\\"illustrator\\\": null\\n }\\n}\\n\\nRead grading fields from the holder and card fields from the card. Return the numeric grade only (e.g., \u201c8.5 NM/MT+\u201d \u2192 \u201c8.5\u201d). Exclude gameplay suffixes and level indicators from Pok\u00e9mon names (e.g., \u201cLatias ex\u201d \u2192 \u201cLatias\u201d). Return HP as digits only (e.g., \u201c120 HP\u201d \u2192 \u201c120\u201d).\\n\\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "94befa70ad6c19e91b34fb4d686ef890d993feae781f94033af7ef9a083a471e", "category": "structured", "subset": "6c56b14aa8dbe996", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "37f5482e28c203c529456d8d2f07e7462388cff9c099168a8c83533f30f20205", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on this SGC-graded trading card and its holder. Return only a valid JSON object with these fields:\n\n{\n \"grading\": {\n \"year\": null,\n \"set_name\": null,\n \"grade\": null,\n \"certification_number\": null\n },\n \"card\": {\n \"name\": null,\n \"hp\": null,\n \"evolves_from\": null,\n \"card_number\": null,\n \"illustrator\": null\n }\n}\n\nRead grading fields from the holder and card fields from the card. Return the numeric grade only (e.g., \u201c8.5 NM/MT+\u201d \u2192 \u201c8.5\u201d). Exclude gameplay suffixes and level indicators from Pok\u00e9mon names (e.g., \u201cLatias ex\u201d \u2192 \u201cLatias\u201d). Return HP as digits only (e.g., \u201c120 HP\u201d \u2192 \u201c120\u201d).\n\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 9, "reference_fields": 9, "predicted_fields": 9, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 9.3035}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 468, "image": "image_72a130eed08b66bb988ae8a6_jpg.rf.f318f905c227c2c99acd0e92d095819d.jpg", "expected": "250203", "predicted": "250203", "correct": true, "input_tokens": 1143, "output_tokens": 1325, "elapsed_seconds": 18.769353791023605, "metadata": {"question": "{\"question\": \"Read the six-digit code engraved on the metal surface. Return only the code as a string of digits, preserving leading zeros. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "fa07a196cc3a0d0e1e0d5477842421acf8abb9b117aa3e7a2928f42f7f6670f9", "category": "single_string", "subset": "f2a87f15a0d3eb96", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "151063d75e77cc4fc511ec3f8c1773d14f511ddaaeeea45f43cd8e287d17e1a2", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the six-digit code engraved on the metal surface. Return only the code as a string of digits, preserving leading zeros. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 18.7851}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 469, "image": "image_6cdb837298c334cd559f73d8_jpg.rf.6ac8f92bfe4df1fa3a13b446ebcce98a.jpg", "expected": "KA51MJ2778", "predicted": "KA51MJ2778", "correct": true, "input_tokens": 1196, "output_tokens": 185, "elapsed_seconds": 4.573034124914557, "metadata": {"question": "{\"question\": \"Read the registration number on the largest visible vehicle license plate. Return only the registration number, reading multiple lines from top to bottom, omitting spaces and preserving letters, digits, leading zeros and hyphens. Exclude country labels, vehicle branding and video overlays. Return null if the complete registration number is unreadable. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "5ebd4a2c4db8e915c553254f14ad81ec25c60c1064fd37b537db6266a14bbb05", "category": "single_string", "subset": "d883528f51470f78", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "4317443ace82ba361d9a54fa29dc76c6d141667175a3dd85bf8c08907c9fc67a", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the registration number on the largest visible vehicle license plate. Return only the registration number, reading multiple lines from top to bottom, omitting spaces and preserving letters, digits, leading zeros and hyphens. Exclude country labels, vehicle branding and video overlays. Return null if the complete registration number is unreadable. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 4.6189}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 470, "image": "image_795af7b3e264a152baa894ed_jpg.rf.b79f6782c37e0085034bfa1ff17758c1.jpg", "expected": "LC78327", "predicted": "LC78627", "correct": false, "input_tokens": 1135, "output_tokens": 1720, "elapsed_seconds": 25.587497249944136, "metadata": {"question": "{\"question\": \"Read the batch or lot code printed on the blister pack. Return only the code, preserving letters, digits and separators. Exclude manufacturing and expiration dates and all other text. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "fe1a012c890cbe1e28bcd6e2b370f1a2eb8bc5e582fde22d4a87cbf3b0020a28", "category": "single_string", "subset": "d62695ff7dd95e0d", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "74b47eb9b1cd4bc04c14e50931de6d77bdab3769360ce949f1f0a7179d352853", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the batch or lot code printed on the blister pack. Return only the code, preserving letters, digits and separators. Exclude manufacturing and expiration dates and all other text. Do not explain.", "match_method": "single_string", "score": 0.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 25.7124}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 471, "image": "image_9b6d87aaaa46cfbbe82fc5e3_png_jpg.rf.948fc36e7835a2b0df88f1e64df12be5.jpg", "expected": "Allasia Gabriele\n\nNumero Sei\nRoggia Massimo\n\nL'anno mille ottocento ottantotto add\u00ec otto del mese\ndi Marzo ed alle ore tre pomeridiane nella sala Comunale\ndi Varzo aperta al pubblico.\nIo sottoscritto Allasia Gabriele Sindaco ed ufficiale\ndello Stato Civile del Comune di Varzo, avendo ricevuto\ndal Signor Procuratore del Re di Domodossola la copia\nautentica dell'atto di nascita di Roggia Massimo\nper essere trascritta nei registri dello Stato Civile di\nquesto Comune a senso di Legge ho proceduto alla trascri-\nzione dell'atto suddetto che \u00e8 del tenore seguente.\nConfederazione Svizzera - Cantone di Vaud. Circonda-\nrio dello Stato Civile di Mollondins.\nEstratto dal registro delle nascite volume A foglio\ntrecento ottanta.", "predicted": "Allasia Gabriele\n\nNumero Sei\nRoggia Massimo\n\nL'anno mille ottocento ottantotto add\u00ec otto del mese\ndi Marzo ed alle ore tre pomeridiane nella sala Comunale\ndi Varzo aperta al pubblico.\nIo sottoscritto Allasia Gabriele Sindaco ed ufficiale\ndello Stato Civile del Comune di Varzo, avendo ricevuto\ndal Signor Procuratore del Re di Domodossola la copia\nautentica dell'atto di nascita di Roggia Massimo\nper essere trascritta nei registri dello Stato Civile di\nquesto Comune a senso di Legge ho proceduto alla trascri-\nzione dell'atto suddetto che \u00e8 del tenore seguente.\nConfederazione Svizzera - Cantone di Vaud. Circondario\ndello Stato Civile di Mollondins.\nEstratto dal registro delle nascite volume A foglio\ntrecento settanta.", "correct": false, "input_tokens": 1161, "output_tokens": 1281, "elapsed_seconds": 15.71964129107073, "metadata": {"question": "{\"question\": \"Transcribe all visible text in this document in reading order. Preserve the original language, spelling, capitalization, punctuation, and paragraph breaks. Omit blank ruling lines, decorative separators, and bleed-through; do not represent them with underscores or dashes. Return only the transcription, without editorial notes, translation, or explanation.\", \"task\": \"transcription\"}", "sample_id": "df33c67ee95f6d1b12ec36e1ecd34a4cc5508492d3b4971d9fb59cdcdb3ac51a", "category": "transcription", "subset": "87309538184438ef", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "b101cbaf47fc942effbce484b0346bfc52668cb0adb2a0c2e0ddef733e147ef3", "text_protocol": "mixed-text-v2", "scoring_profile": "transcription", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Transcribe all visible text in this document in reading order. Preserve the original language, spelling, capitalization, punctuation, and paragraph breaks. Omit blank ruling lines, decorative separators, and bleed-through; do not represent them with underscores or dashes. Return only the transcription, without editorial notes, translation, or explanation.", "match_method": "transcription", "score": 0.9931, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 15.7711}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 472, "image": "image_a05468b56b3cd6d18843dd8e_jpg.rf.0763519b4e8acdc31404c8be3a24da7e.jpg", "expected": "W1", "predicted": "W 1", "correct": false, "input_tokens": 1154, "output_tokens": 719, "elapsed_seconds": 13.649466292001307, "metadata": {"question": "{\"question\": \"Read the letters and numbers imprinted on the pill in this image. Return only the text, preserving capitalization and separating lines with a single space. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "3d13bef1a8314ec581211e89d944168381d5fee9fce9ff5ca0087755db2afc7f", "category": "single_string", "subset": "5c725e357739b9ce", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "eaa7bffd8b20d53757071d074a116f05f2afcb9eb5458f407e6e1111c76c3662", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the letters and numbers imprinted on the pill in this image. Return only the text, preserving capitalization and separating lines with a single space. Do not explain.", "match_method": "single_string", "score": 0.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 13.6557}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 473, "image": "image_93abdc6227c8651afb6483bc_jpg.rf.11ff0335c90eedf9b1ee9b9aee7dc1eb.jpg", "expected": "{\"scientific_name\":\"Vinca pubescens d'Urv.\",\"collector\":\"J. Stone, M. Merello, M. Eristavi & N. Meniadze\",\"collection_number\":\"1760\",\"collection_date\":\"20 June 1999\",\"locality\":\"Batumi. Chorokhi River - on banks. Near Turkish border at confluence of Chorokhi and Matschakhela River. 41\u00b031'41\\\"N 041\u00b043'17\\\"E 50 m\"}", "predicted": "{\n \"scientific_name\": \"Vinca pubescens d'Urv.\",\n \"collector\": \"J. Stone, M. Merello, M. Eristavi & N. Meniadze\",\n \"collection_number\": \"1760\",\n \"collection_date\": \"20 June 1999\",\n \"locality\": \"Batumi. Chorokhi River - on banks. Near Turkish border at confluence of Chorokhi and Matschakhela River. 41\u00b031'41\\\"N 041\u00b043'17\\\"E 50 m\"\n}", "correct": true, "input_tokens": 1369, "output_tokens": 976, "elapsed_seconds": 11.936085375025868, "metadata": {"question": "{\"question\": \"Extract the information from the main specimen label in this herbarium image. Return only a valid JSON object with this structure:\\n\\n{\\n \\\"scientific_name\\\": null,\\n \\\"collector\\\": null,\\n \\\"collection_number\\\": null,\\n \\\"collection_date\\\": null,\\n \\\"locality\\\": null\\n}\\n\\nReturn one object for the main specimen label. Use only information on that label; exclude later identification slips, barcode/accession stickers and institutional stamps. Include the scientific name\u2019s printed rank and author. Use the collection date, not the identification date, and the collector\u2019s number, not a barcode or accession number. For locality, copy the locality, elevation and coordinates in reading order, including printed prefixes such as Alt.; join fragments with spaces and preserve punctuation. Exclude habitat notes. Use a geographic heading only when no locality is given, copying the place name without introductory wording. Do not add information from other labels. Use plain hyphens, apostrophes and double quotes, including coordinate primes.\\n\\nPreserve text as printed or handwritten, joining line breaks within a field with spaces. Do not infer missing information or translate. Include every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "2c352c4521e2349ecb758180bb5d8542bb785f4489e55e5bb85bf9be9e50c7c4", "category": "structured", "subset": "a46f70a1dc4301ad", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "1f6fc7600b260c43513e2c6456a84ce4b3559ab743632667afd17aab6aed8c12", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information from the main specimen label in this herbarium image. Return only a valid JSON object with this structure:\n\n{\n \"scientific_name\": null,\n \"collector\": null,\n \"collection_number\": null,\n \"collection_date\": null,\n \"locality\": null\n}\n\nReturn one object for the main specimen label. Use only information on that label; exclude later identification slips, barcode/accession stickers and institutional stamps. Include the scientific name\u2019s printed rank and author. Use the collection date, not the identification date, and the collector\u2019s number, not a barcode or accession number. For locality, copy the locality, elevation and coordinates in reading order, including printed prefixes such as Alt.; join fragments with spaces and preserve punctuation. Exclude habitat notes. Use a geographic heading only when no locality is given, copying the place name without introductory wording. Do not add information from other labels. Use plain hyphens, apostrophes and double quotes, including coordinate primes.\n\nPreserve text as printed or handwritten, joining line breaks within a field with spaces. Do not infer missing information or translate. Include every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 5, "reference_fields": 5, "predicted_fields": 5, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 11.9702}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 474, "image": "image_c7988adb96dceec5d1a3f9f2_jpg.rf.f4c81fd614d62ba2df6415e890213939.jpg", "expected": "[{\"bbox\":[145,56,215,64],\"text\":\"@peerlessposters\"},{\"bbox\":[443,56,498,64],\"text\":\"Sun/05/24/20\"},{\"bbox\":[150,558,219,579],\"text\":\"Scale\"},{\"bbox\":[342,555,490,565],\"text\":\"Scale can often energize the design\"},{\"bbox\":[342,567,462,576],\"text\":\"by changing what we expect.\"},{\"bbox\":[342,578,440,587],\"text\":\"Scale conveys meaning\"}]", "predicted": "[{\"box_2d\": [86, 224, 102, 337], \"text\": \"@peerlessposters\"}, {\"box_2d\": [86, 691, 100, 778], \"text\": \"Sun/05/24/20\"}, {\"box_2d\": [866, 533, 881, 766], \"text\": \"Scale can often energize the design\"}, {\"box_2d\": [870, 234, 902, 341], \"text\": \"Scale\"}, {\"box_2d\": [884, 533, 899, 725], \"text\": \"by changing what we expect.\"}, {\"box_2d\": [902, 533, 917, 688], \"text\": \"Scale conveys meaning\"}]", "correct": true, "input_tokens": 1327, "output_tokens": 969, "elapsed_seconds": 11.015484708943404, "metadata": {"question": "{\"question\": \"Locate and transcribe visible text on the poster.\", \"specification\": \"Use one box per text line; keep separate words or letter groups on strongly curved paths in separate boxes. Include rotated text. Exclude decorative shapes, photographs and non-text graphics. Return plain text, not LaTeX.\\n\\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\", \"task\": \"localization_recognition\"}", "sample_id": "056687c4782f1a619ec38bf8fb97feb2a9b1e11e7387b064383eb5511d84b9a2", "category": "localization_recognition", "subset": "a0ebbce28fa5095a", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "b80db71a7f3d971cfdbc51a34ed550d636eb44bd8377fddb92ec9f1d5b549d3b", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe visible text on the poster.\n\nUse one box per text line; keep separate words or letter groups on strongly curved paths in separate boxes. Include rotated text. Exclude decorative shapes, photographs and non-text graphics. Return plain text, not LaTeX.\n\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 1.0, "status": "ok", "format_compliant": true, "detection_f1": 1.0, "matched_regions": 6, "reference_regions": 6, "predicted_regions": 6, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 11.0378}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 475, "image": "image_02ae1d02a05e3e7ef7dbb146_jpg.rf.7530acb8ba1ce61ea94cd4ada1777257.jpg", "expected": "72392", "predicted": "72392", "correct": true, "input_tokens": 1134, "output_tokens": 939, "elapsed_seconds": 13.715381958056241, "metadata": {"question": "{\"question\": \"Read the electricity meter reading shown on the LCD. Return only the reading, preserving leading zeros and any decimal point. Exclude the register code, units and serial number. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "6a4e7d5c9bdd325d952809202927b5a59eaf90ba236a4d599b4aba0e11487cdf", "category": "single_string", "subset": "0749a0105d22d9d4", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "38e00ae59e42bc6b6aa920dd9327d0466cc1685c40a4811449c437c527307c39", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the electricity meter reading shown on the LCD. Return only the reading, preserving leading zeros and any decimal point. Exclude the register code, units and serial number. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 13.7607}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 476, "image": "image_1c9a93f06dd51f4634158916_jpg.rf.d4096c66338ea8da3e2ca1398975a0a4.jpg", "expected": "{\"serving_size\":\"1 cup (257g)\",\"servings_per_container\":\"About 2\",\"calories\":\"260\",\"total_fat\":{\"amount\":\"11g\",\"daily_value\":\"17%\"},\"saturated_fat\":{\"amount\":\"4g\",\"daily_value\":\"20%\"},\"trans_fat\":{\"amount\":\"0g\",\"daily_value\":null},\"cholesterol\":{\"amount\":\"20mg\",\"daily_value\":\"7%\"},\"sodium\":{\"amount\":\"750mg\",\"daily_value\":\"31%\"},\"total_carbohydrate\":{\"amount\":\"31g\",\"daily_value\":\"10%\"},\"dietary_fiber\":{\"amount\":\"3g\",\"daily_value\":\"12%\"},\"total_sugars\":{\"amount\":\"8g\",\"daily_value\":null},\"protein\":{\"amount\":\"9g\",\"daily_value\":\"12%\"},\"vitamin_a\":{\"amount\":null,\"daily_value\":\"6%\"},\"vitamin_c\":{\"amount\":null,\"daily_value\":\"0%\"},\"calcium\":{\"amount\":null,\"daily_value\":\"2%\"},\"iron\":{\"amount\":null,\"daily_value\":\"10%\"},\"potassium\":{\"amount\":\"560mg\",\"daily_value\":\"16%\"}}", "predicted": "{\n \"serving_size\": \"1 cup (257g)\",\n \"servings_per_container\": \"About 2\",\n \"calories\": \"260\",\n \"total_fat\": {\"amount\": \"11g\", \"daily_value\": \"17%\"},\n \"saturated_fat\": {\"amount\": \"4g\", \"daily_value\": \"20%\"},\n \"trans_fat\": {\"amount\": \"0g\", \"daily_value\": null},\n \"cholesterol\": {\"amount\": \"20mg\", \"daily_value\": \"7%\"},\n \"sodium\": {\"amount\": \"750mg\", \"daily_value\": \"31%\"},\n \"total_carbohydrate\": {\"amount\": \"31g\", \"daily_value\": \"10%\"},\n \"dietary_fiber\": {\"amount\": \"3g\", \"daily_value\": \"12%\"},\n \"total_sugars\": {\"amount\": \"8g\", \"daily_value\": null},\n \"protein\": {\"amount\": \"9g\", \"daily_value\": \"12%\"},\n \"vitamin_a\": {\"amount\": null, \"daily_value\": \"6%\"},\n \"vitamin_c\": {\"amount\": null, \"daily_value\": \"0%\"},\n \"calcium\": {\"amount\": null, \"daily_value\": \"2%\"},\n \"iron\": {\"amount\": null, \"daily_value\": \"10%\"},\n \"potassium\": {\"amount\": \"560mg\", \"daily_value\": \"16%\"}\n}", "correct": true, "input_tokens": 1629, "output_tokens": 1322, "elapsed_seconds": 14.730756375007331, "metadata": {"question": "{\"question\": \"Extract the information printed in the main Nutrition Facts panel in this image. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"serving_size\\\": null,\\n \\\"servings_per_container\\\": null,\\n \\\"calories\\\": null,\\n \\\"total_fat\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"saturated_fat\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"trans_fat\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"cholesterol\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"sodium\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"total_carbohydrate\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"dietary_fiber\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"total_sugars\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"protein\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"vitamin_a\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"vitamin_c\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"calcium\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"iron\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"potassium\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null}\\n}\\n\\nUse per-serving values as packaged, not prepared or per-container values. Use Calories, not Calories from Fat. Map \u201cSugars\u201d to total_sugars.\\n\\nKeep nutrient amounts and daily-value percentages separate (e.g., \u201cCalcium 260 mg 20%\u201d \u2192 {\\\"amount\\\": \\\"260mg\\\", \\\"daily_value\\\": \\\"20%\\\"}). Preserve printed units and qualifiers; do not calculate or convert values.\\n\\nFormat serving_size as household measure followed by metric quantity in parentheses (e.g., \u201c2 pieces 30 g\u201d \u2192 \u201c2 pieces (30g)\u201d). If only one measure is printed, return it alone. Preserve additional serving-size details.\\n\\nRemove spaces between numbers and units or % signs. Preserve all other text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nInclude every key. Use strings for extracted values and null for missing or unreadable values, including individual amounts or percentages. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "ffe8dbac7b61e4d50bf5a7624c3b6695f1accf83cac85f7929ea5c48db1383fc", "category": "structured", "subset": "3d0c26ee8395584a", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "1c9a93f06dd51f4634158916c4a0eef2b6ca1cb2a3b881cb2037e85b7cc7867b", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed in the main Nutrition Facts panel in this image. Return only a valid JSON object with these fields:\n\n{\n \"serving_size\": null,\n \"servings_per_container\": null,\n \"calories\": null,\n \"total_fat\": {\"amount\": null, \"daily_value\": null},\n \"saturated_fat\": {\"amount\": null, \"daily_value\": null},\n \"trans_fat\": {\"amount\": null, \"daily_value\": null},\n \"cholesterol\": {\"amount\": null, \"daily_value\": null},\n \"sodium\": {\"amount\": null, \"daily_value\": null},\n \"total_carbohydrate\": {\"amount\": null, \"daily_value\": null},\n \"dietary_fiber\": {\"amount\": null, \"daily_value\": null},\n \"total_sugars\": {\"amount\": null, \"daily_value\": null},\n \"protein\": {\"amount\": null, \"daily_value\": null},\n \"vitamin_a\": {\"amount\": null, \"daily_value\": null},\n \"vitamin_c\": {\"amount\": null, \"daily_value\": null},\n \"calcium\": {\"amount\": null, \"daily_value\": null},\n \"iron\": {\"amount\": null, \"daily_value\": null},\n \"potassium\": {\"amount\": null, \"daily_value\": null}\n}\n\nUse per-serving values as packaged, not prepared or per-container values. Use Calories, not Calories from Fat. Map \u201cSugars\u201d to total_sugars.\n\nKeep nutrient amounts and daily-value percentages separate (e.g., \u201cCalcium 260 mg 20%\u201d \u2192 {\"amount\": \"260mg\", \"daily_value\": \"20%\"}). Preserve printed units and qualifiers; do not calculate or convert values.\n\nFormat serving_size as household measure followed by metric quantity in parentheses (e.g., \u201c2 pieces 30 g\u201d \u2192 \u201c2 pieces (30g)\u201d). If only one measure is printed, return it alone. Preserve additional serving-size details.\n\nRemove spaces between numbers and units or % signs. Preserve all other text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nInclude every key. Use strings for extracted values and null for missing or unreadable values, including individual amounts or percentages. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 31, "reference_fields": 31, "predicted_fields": 31, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 14.9494}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 477, "image": "image_6f9f483906453c195db65aca_jpg.rf.e0c3b3cba42a736a6a31e79c1a420368.jpg", "expected": "241218", "predicted": "241218", "correct": true, "input_tokens": 1143, "output_tokens": 728, "elapsed_seconds": 50.826704667066224, "metadata": {"question": "{\"question\": \"Read the six-digit code engraved on the metal surface. Return only the code as a string of digits, preserving leading zeros. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "831f5f18ad684937c6e45c87cb54e935e21c5054fe40efccbf512940b2d82fed", "category": "single_string", "subset": "f2a87f15a0d3eb96", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "4878d53dde2f6cdd4260dec9b1613ac20348e6dc5071ebbb59161e3815ba070e", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the six-digit code engraved on the metal surface. Return only the code as a string of digits, preserving leading zeros. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 50.8415}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 478, "image": "image_b4d360af746feeeb8f5b4cdd_jpg.rf.c5a1d5bb7969afc8e6a6264a86ddf605.jpg", "expected": "6:59", "predicted": "6:59", "correct": true, "input_tokens": 1193, "output_tokens": 1482, "elapsed_seconds": 44.283553250017576, "metadata": {"question": "{\"question\": \"Read the illuminated value in the largest numeric readout on this treadmill display. If equally large readouts are present, choose the topmost, then leftmost. Preserve leading zeros and visible decimal points or colons between digits. Ignore unlit segments, isolated indicator lights and smaller secondary readouts. Do not infer units or reformat the value as time. Return only the displayed value, or null if incomplete or unreadable. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "8edca63f8d2c24e2e2c3f15d63ec6a142fe2908422e73db26405255d8ab8b8aa", "category": "single_string", "subset": "6320a2ab21674c00", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "829b510e1dc1529c9f98059f52117e62cbc8b83c03740b3a768b65eafa421049", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the illuminated value in the largest numeric readout on this treadmill display. If equally large readouts are present, choose the topmost, then leftmost. Preserve leading zeros and visible decimal points or colons between digits. Ignore unlit segments, isolated indicator lights and smaller secondary readouts. Do not infer units or reformat the value as time. Return only the displayed value, or null if incomplete or unreadable. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 44.2952}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 479, "image": "image_a1426a5908abf1e420af2c61_jpg.rf.48c20982e692ccfb9e678d2dc7557014.jpg", "expected": "KA17AA6024", "predicted": "KA17AA6024", "correct": true, "input_tokens": 1196, "output_tokens": 484, "elapsed_seconds": 7.784063750063069, "metadata": {"question": "{\"question\": \"Read the registration number on the largest visible vehicle license plate. Return only the registration number, reading multiple lines from top to bottom, omitting spaces and preserving letters, digits, leading zeros and hyphens. Exclude country labels, vehicle branding and video overlays. Return null if the complete registration number is unreadable. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "e6a988dee442710f3d35cb7e83c47ec233594beca2e916f9ed8f21027cc001e4", "category": "single_string", "subset": "d883528f51470f78", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "73fcb8049551df89ab0e251d85f3aad6153efa6dafcdd3868393e50402156f91", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the registration number on the largest visible vehicle license plate. Return only the registration number, reading multiple lines from top to bottom, omitting spaces and preserving letters, digits, leading zeros and hyphens. Exclude country labels, vehicle branding and video overlays. Return null if the complete registration number is unreadable. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 7.8398}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 480, "image": "image_aeb0fe692ea1cfb110d01da0_jpg.rf.2da219032b703d32bee48f4d868c85e2.jpg", "expected": "7072774", "predicted": "7072774", "correct": true, "input_tokens": 1122, "output_tokens": 803, "elapsed_seconds": 13.018909416976385, "metadata": {"question": "{\"question\": \"Read the cow ear tag number visible in this image. Return only the number as a string of digits. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "5aa6131c4ebdb7e47438285c4465dfc01f90beb0e8c8335d109bf6102b4120f6", "category": "single_string", "subset": "b3f38c6b63e6967c", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "d40f8607d91fcc4647fc3b116bed62634e3aa1d1b21adedefcbf3cd9f49cd95a", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the cow ear tag number visible in this image. Return only the number as a string of digits. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 13.1324}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 481, "image": "image_fe548642bd79ef4427a080d8_jpg.rf.a1041153091740aa89adadbe32a9de2a.jpg", "expected": "[{\"bbox\":[500,696,2090,1160],\"text\":\"HANDKRAFT\"},{\"bbox\":[775,1170,1834,1515],\"text\":\"SWEA\"}]", "predicted": "[{\"box_2d\": [366, 192, 608, 805], \"text\": \"HANDKRAFT\"}, {\"box_2d\": [604, 293, 776, 700], \"text\": \"SWEA\"}]", "correct": true, "input_tokens": 1296, "output_tokens": 569, "elapsed_seconds": 9.27450379205402, "metadata": {"question": "{\"question\": \"Locate and transcribe all text on the signs in this image.\", \"specification\": \"Use one box per word or standalone number, including curved words in a single box. Exclude text outside the signs and purely graphical symbols. Return plain text, not LaTeX.\\n\\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\", \"task\": \"localization_recognition\"}", "sample_id": "fb96286b16931c9007b3cac335940f0d0c9e9ef80cbd5813850a2a40a887e979", "category": "localization_recognition", "subset": "21363697af554f8e", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "0a12e57b165641089d1adaa84c64e24e005cccc92977477b81de9db7e38693ac", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe all text on the signs in this image.\n\nUse one box per word or standalone number, including curved words in a single box. Exclude text outside the signs and purely graphical symbols. Return plain text, not LaTeX.\n\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 1.0, "status": "ok", "format_compliant": true, "detection_f1": 1.0, "matched_regions": 2, "reference_regions": 2, "predicted_regions": 2, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 9.4555}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 482, "image": "image_ace3722855627f9de00332b0_jpg.rf.eab075d48e5c4fa79e742d2fa0424f49.jpg", "expected": "[{\"bbox\":[276,22,347,31],\"text\":\"SIXTEENTH EDITION\"},{\"bbox\":[64,56,188,69],\"text\":\"INTRODUCTION TO\"},{\"bbox\":[27,71,350,101],\"text\":\"Management Accounting\"},{\"bbox\":[70,136,341,151],\"text\":\"Horngren Sundem Burgstahler Schatzberg\"}]", "predicted": "[{\"box_2d\": [45, 728, 60, 916], \"text\": \"SIXTEENTH EDITION\"}, {\"box_2d\": [112, 173, 134, 493], \"text\": \"INTRODUCTION TO\"}, {\"box_2d\": [146, 74, 203, 916], \"text\": \"Management Accounting\"}, {\"box_2d\": [273, 184, 300, 895], \"text\": \"Horngren Sundem Burgstahler Schatzberg\"}]", "correct": true, "input_tokens": 1321, "output_tokens": 909, "elapsed_seconds": 11.579404167016037, "metadata": {"question": "{\"question\": \"Locate and transcribe all visible text on this book cover, including title, author, publisher and promotional text.\", \"specification\": \"Use one box per text line. Return plain text, not LaTeX.\\n\\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Do not include explanations or Markdown.\", \"task\": \"localization_recognition\"}", "sample_id": "7f55408f4920c839bb2beb2c979146973508ad960451ad3c3f538680b2adc1ea", "category": "localization_recognition", "subset": "658c0e5b4d5e48ce", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "33c1e0ed781f4f944b44d101f8d3439da6f6a55a1bd9372f7fce705ab3becacd", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe all visible text on this book cover, including title, author, publisher and promotional text.\n\nUse one box per text line. Return plain text, not LaTeX.\n\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Do not include explanations or Markdown.\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 1.0, "status": "ok", "format_compliant": true, "detection_f1": 1.0, "matched_regions": 4, "reference_regions": 4, "predicted_regions": 4, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 11.5939}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 483, "image": "image_ace3722855627f9de00332b0_jpg.rf.eab075d48e5c4fa79e742d2fa0424f49.jpg", "expected": "{\"title\":\"INTRODUCTION TO Management Accounting\",\"author\":\"Horngren Sundem Burgstahler Schatzberg\",\"publisher\":null}", "predicted": "{\n \"title\": \"INTRODUCTION TO Management Accounting\",\n \"author\": \"Horngren Sundem Burgstahler Schatzberg\",\n \"publisher\": null\n}", "correct": true, "input_tokens": 1311, "output_tokens": 653, "elapsed_seconds": 9.178694583009928, "metadata": {"question": "{\"question\": \"Extract the information printed on this book cover. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"title\\\": null,\\n \\\"author\\\": null,\\n \\\"publisher\\\": null\\n}\\n\\nInclude the subtitle in title, but exclude series names, endorsements and promotional badges. Include only the book\u2019s authors in author, preserving their printed order and separators; exclude foreword or introduction contributors. Use visible publisher text only; do not identify a symbol-only logo.\\n\\nExclude edition/volume labels from title and editors from author. Join title and subtitle with a space; do not add punctuation.\\n\\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "e6b48c307ec40c6d78e87b1d3d19d12459287e5f51d9cf5a5cc79780f4354d8a", "category": "structured", "subset": "3d7fadf0660f8706", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "33c1e0ed781f4f944b44d101f8d3439da6f6a55a1bd9372f7fce705ab3becacd", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on this book cover. Return only a valid JSON object with these fields:\n\n{\n \"title\": null,\n \"author\": null,\n \"publisher\": null\n}\n\nInclude the subtitle in title, but exclude series names, endorsements and promotional badges. Include only the book\u2019s authors in author, preserving their printed order and separators; exclude foreword or introduction contributors. Use visible publisher text only; do not identify a symbol-only logo.\n\nExclude edition/volume labels from title and editors from author. Join title and subtitle with a space; do not add punctuation.\n\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 3, "reference_fields": 3, "predicted_fields": 3, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 9.1906}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 484, "image": "image_c9377a3576e2705c6892079f_jpg.rf.3a00869abfc87811191c9655fc2d604e.jpg", "expected": "{\"application_id\":\"54APID2306541\",\"application_date\":\"10032016\",\"product_type\":\"Home Equity\",\"tenure_months\":\"150\",\"loan_amount\":\"2050000\",\"applicant_name\":\"NANDAMURI TARAKA RAMA RAO\",\"birth_date\":\"16051984\",\"current_address\":\"RAKUTEN SYMPHONY KADUBEESINA HALLI FLAT NO 305 FLOOR NO 3 BANGALORE 560103\",\"current_city\":\"BANGALORE\",\"current_state\":\"KARNATAKA\",\"current_postal_code\":\"560105\",\"current_mobile\":\"9703468142\",\"pan_number\":\"LIYPL0882S\"}", "predicted": "{\n \"application_id\": \"54APID2306541\",\n \"application_date\": \"10032016\",\n \"product_type\": \"Home Equity\",\n \"tenure_months\": \"150\",\n \"loan_amount\": \"2050000\",\n \"applicant_name\": \"NANDAMURI TARAKA RAMA RAO\",\n \"birth_date\": \"16051984\",\n \"current_address\": \"RAKUTEN SYMPHONY KADUBEESINA HALLI FLAT NO 305 FLOOR NO 3 BANGALORE 560103\",\n \"current_city\": \"BANGALORE\",\n \"current_state\": \"KARNATAKA\",\n \"current_postal_code\": \"560103\",\n \"current_mobile\": \"9903468142\",\n \"pan_number\": \"LTYPK9882S\"\n}", "correct": false, "input_tokens": 1432, "output_tokens": 2858, "elapsed_seconds": 35.10977258300409, "metadata": {"question": "{\"question\": \"Extract the completed applicant and loan fields from this loan application. Return only a valid JSON object with this structure:\\n\\n{\\n \\\"application_id\\\": null,\\n \\\"application_date\\\": null,\\n \\\"product_type\\\": null,\\n \\\"tenure_months\\\": null,\\n \\\"loan_amount\\\": null,\\n \\\"applicant_name\\\": null,\\n \\\"birth_date\\\": null,\\n \\\"current_address\\\": null,\\n \\\"current_city\\\": null,\\n \\\"current_state\\\": null,\\n \\\"current_postal_code\\\": null,\\n \\\"current_mobile\\\": null,\\n \\\"pan_number\\\": null\\n}\\n\\nUse Application ID No., not Application Form No. Read the current address, not the permanent address. Remove spaces between character boxes in identifiers and numbers; retain word spaces in names and addresses. For product_type, copy the single checked option; use null if none or several are selected. Transcribe date-box contents as written without inventing separators, even if malformed. Keep leading zeros in numbers.\\n\\nPreserve spelling, capitalization and punctuation; join line breaks within a field with spaces. Do not infer, correct or translate. Ignore filler dashes in unused boxes. For current_address, include only Current Residence Address lines, excluding the separately labelled landmark, city, state and postal-code fields. Use strings for values and null for missing or unreadable fields. Include every key. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "51d391b3b41f6387a50d512510a1115e46b55126ec9cdd41d8408d95167d66a7", "category": "structured", "subset": "320cb142e1839899", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "77271ffb839aa5629d561105b4ed889003be16bff765ca16e4755543da774d31", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the completed applicant and loan fields from this loan application. Return only a valid JSON object with this structure:\n\n{\n \"application_id\": null,\n \"application_date\": null,\n \"product_type\": null,\n \"tenure_months\": null,\n \"loan_amount\": null,\n \"applicant_name\": null,\n \"birth_date\": null,\n \"current_address\": null,\n \"current_city\": null,\n \"current_state\": null,\n \"current_postal_code\": null,\n \"current_mobile\": null,\n \"pan_number\": null\n}\n\nUse Application ID No., not Application Form No. Read the current address, not the permanent address. Remove spaces between character boxes in identifiers and numbers; retain word spaces in names and addresses. For product_type, copy the single checked option; use null if none or several are selected. Transcribe date-box contents as written without inventing separators, even if malformed. Keep leading zeros in numbers.\n\nPreserve spelling, capitalization and punctuation; join line breaks within a field with spaces. Do not infer, correct or translate. Ignore filler dashes in unused boxes. For current_address, include only Current Residence Address lines, excluding the separately labelled landmark, city, state and postal-code fields. Use strings for values and null for missing or unreadable fields. Include every key. Do not include explanations or Markdown.", "match_method": "structured", "score": 0.7692, "status": "ok", "format_compliant": true, "matched_fields": 10, "reference_fields": 13, "predicted_fields": 13, "non_null_field_accuracy": 0.7692307692307693, "object_exact_match": false, "attempts": 2, "retries": 1, "total_seconds": 97.8972, "transient_errors": ["RemoteProtocolError"]}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 485, "image": "image_7defc203447a04d620ea3f9e_jpg.rf.534dddb14a40ee7aeb449d033de391d3.jpg", "expected": "00820", "predicted": "00820", "correct": true, "input_tokens": 1146, "output_tokens": 216, "elapsed_seconds": 5.604306166060269, "metadata": {"question": "{\"question\": \"Read the electricity meter reading visible in this image. Return only the reading as a string of digits. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "426ae7e534a05580d4748d66cc724d9f5e7c4256f7574890d689c6cfca892202", "category": "single_string", "subset": "3a0d0e0892a8fc95", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "5ac99ee0fcd0879321bf54e11ab48fa1dac22a7b4bacfa38c4cfa42f166dbe14", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the electricity meter reading visible in this image. Return only the reading as a string of digits. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 5.6965}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 486, "image": "image_de4aec19f863fe3ededf94f4_jpg.rf.8759792acb183defc976e1ee8332b374.jpg", "expected": "{\"validity_period\":\"dal 28 novembre all'11 dicembre 2024\",\"offers\":[{\"product_name\":\"SPEZZATINO DI BOVINO ADULTO\",\"price\":\"8,49\",\"price_basis\":\"/kg\"},{\"product_name\":\"HAMBURGER DI SCOTTONA\",\"price\":\"2,19\",\"price_basis\":\"/pz\"},{\"product_name\":\"BRACIOLE DI COPPA DI SUINO\",\"price\":\"6,49\",\"price_basis\":\"/kg\"},{\"product_name\":\"FUSI E SOVRACOSCE DI POLLO\",\"price\":\"3,99\",\"price_basis\":\"/kg\"},{\"product_name\":\"STRACCETTI DI POLLO\",\"price\":\"7,99\",\"price_basis\":\"/kg\"},{\"product_name\":\"CORDON BLEU DI POLLO E TACCHINO\",\"price\":\"1,99\",\"price_basis\":\"/pz\"},{\"product_name\":\"TRECCIA PUGLIESE\",\"price\":\"9,99\",\"price_basis\":\"/kg\"},{\"product_name\":\"BOCCONCINI DI LATTE DI BUFALA\",\"price\":\"2,99\",\"price_basis\":\"/pz\"},{\"product_name\":\"TARALLUCCI ALLE RAPE\",\"price\":\"1,79\",\"price_basis\":\"/pz\"}]}", "predicted": "{\n \"validity_period\": \"dal 28 novembre all'11 dicembre 2024\",\n \"offers\": [\n {\n \"product_name\": \"SPEZZATINO DI BOVINO ADULTO\",\n \"price\": \"8,49\",\n \"price_basis\": \"/kg\"\n },\n {\n \"product_name\": \"HAMBURGER DI SCOTTONA\",\n \"price\": \"2,19\",\n \"price_basis\": \"/pz\"\n },\n {\n \"product_name\": \"BRACIOLE DI COPPA DI SUINO\",\n \"price\": \"6,49\",\n \"price_basis\": \"/kg\"\n },\n {\n \"product_name\": \"FUSI E SOVRACOSCE DI POLLO\",\n \"price\": \"3,99\",\n \"price_basis\": \"/kg\"\n },\n {\n \"product_name\": \"STRACCETTI DI POLLO\",\n \"price\": \"7,99\",\n \"price_basis\": \"/kg\"\n },\n {\n \"product_name\": \"CORDON BLEU DI POLLO E TACCHINO\",\n \"price\": \"1,99\",\n \"price_basis\": \"/pz\"\n },\n {\n \"product_name\": \"TRECCIA PUGLIESE\",\n \"price\": \"9,99\",\n \"price_basis\": \"/kg\"\n },\n {\n \"product_name\": \"BOCCONCINI DI LATTE DI BUFALA\",\n \"price\": \"2,99\",\n \"price_basis\": \"/pz\"\n },\n {\n \"product_name\": \"TARALLUCCI ALLE RAPE\",\n \"price\": \"1,79\",\n \"price_basis\": \"/pz\"\n }\n ]\n}", "correct": true, "input_tokens": 1416, "output_tokens": 1944, "elapsed_seconds": 20.22119762492366, "metadata": {"question": "{\"question\": \"Extract the information printed on this retail leaflet page. Return only a valid JSON object with this structure:\\n\\n{\\n \\\"validity_period\\\": null,\\n \\\"offers\\\": [\\n {\\n \\\"product_name\\\": null,\\n \\\"price\\\": null,\\n \\\"price_basis\\\": null\\n }\\n ]\\n}\\n\\nReturn product blocks in visual rows, left-to-right. Use the printed product description, excluding variant lists and text only on pictured packaging. Include a separately printed brand above the description only if not already named there.\\n\\nUse the prominent advertised price, not previous or comparison prices. Join raised cents with a decimal comma; place any printed currency after the amount with one space (e.g., \u20ac4\u2079\u2079 \u2192 4,99 \u20ac). Do not infer currency or calculate prices. Keep ply counts in product_name. Put the selling basis in price_basis (al kg \u2192 /kg, al pz \u2192 /pz, confezione \u2192 confezione).\\n\\nUse only page-wide validity dates, without weekdays; an end-only date is allowed. Exclude unrestricted marketing slogans. Discount-only offers have price:null.\\n\\nPreserve text as printed, joining line breaks within a field with spaces. Do not infer missing information or translate. Include every key. Use strings for extracted values and null for missing or unreadable values; retain arrays as arrays. Return empty arrays when there are no entries. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "483ab4c5a54a910733de66df0d555c43949388d3502e3726219a7b21953c7fda", "category": "structured", "subset": "660e48d305d84282", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "15da93a437edab236026e5afe3eb93d7acde696168aa51bc1cbb2c6aa44f20b3", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on this retail leaflet page. Return only a valid JSON object with this structure:\n\n{\n \"validity_period\": null,\n \"offers\": [\n {\n \"product_name\": null,\n \"price\": null,\n \"price_basis\": null\n }\n ]\n}\n\nReturn product blocks in visual rows, left-to-right. Use the printed product description, excluding variant lists and text only on pictured packaging. Include a separately printed brand above the description only if not already named there.\n\nUse the prominent advertised price, not previous or comparison prices. Join raised cents with a decimal comma; place any printed currency after the amount with one space (e.g., \u20ac4\u2079\u2079 \u2192 4,99 \u20ac). Do not infer currency or calculate prices. Keep ply counts in product_name. Put the selling basis in price_basis (al kg \u2192 /kg, al pz \u2192 /pz, confezione \u2192 confezione).\n\nUse only page-wide validity dates, without weekdays; an end-only date is allowed. Exclude unrestricted marketing slogans. Discount-only offers have price:null.\n\nPreserve text as printed, joining line breaks within a field with spaces. Do not infer missing information or translate. Include every key. Use strings for extracted values and null for missing or unreadable values; retain arrays as arrays. Return empty arrays when there are no entries. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 28, "reference_fields": 28, "predicted_fields": 28, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 20.3038}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 487, "image": "image_75d11db84826dbc025f12e85_jpg.rf.5397d161dbff9a5b58ddc8c8a5d864fb.jpg", "expected": "{\"client_number\":\"TN13482787\",\"account_number\":\"147166772300\",\"branch_name\":\"Agence Ennkhilet\",\"surname\":\"Jrad\",\"given_name\":\"Amine\",\"sex\":\"Masculin\",\"birth_date\":\"17/08/1997\",\"birth_city\":\"Gabes\",\"birth_country\":\"Tunisie\",\"identity_document_type\":\"Passport\",\"identity_document_number\":\"TR816230\",\"nationality\":\"Tunisienne\",\"marital_status\":\"C\u00e9libataire\",\"mailing_address\":\"Rue Bilel, Apt 15\",\"postal_code\":\"4100\",\"city\":\"Tunis\",\"country\":\"Tunisie\",\"phone\":\"+21623778919\",\"email\":\"Jrad.Amine@gmail.com\",\"profession\":\"M\u00e9decin\",\"net_monthly_income\":\"3000 TND\",\"employer_category\":\"Secteur public\",\"account_type\":\"compte courant\"}", "predicted": "{\n \"client_number\": \"TN13482787\",\n \"account_number\": \"147166772300\",\n \"branch_name\": \"Agence Ennkhilet\",\n \"surname\": \"Jrad\",\n \"given_name\": \"Amine\",\n \"sex\": \"Masculin\",\n \"birth_date\": \"17/08/1997\",\n \"birth_city\": \"Gabes\",\n \"birth_country\": \"Tunisie\",\n \"identity_document_type\": \"Passport\",\n \"identity_document_number\": \"TR816230\",\n \"nationality\": \"Tunisienne\",\n \"marital_status\": \"C\u00e9libataire\",\n \"mailing_address\": \"Rue Bilel, Apt 15\",\n \"postal_code\": \"4100\",\n \"city\": \"Tunis\",\n \"country\": \"Tunisie\",\n \"phone\": \"+21623778919\",\n \"email\": \"Jrad.Amine@gmail.com\",\n \"profession\": \"M\u00e9decin\",\n \"net_monthly_income\": \"3000 TND\",\n \"employer_category\": \"Secteur public\",\n \"account_type\": \"compte courant\"\n}", "correct": true, "input_tokens": 1479, "output_tokens": 1679, "elapsed_seconds": 18.055281749926507, "metadata": {"question": "{\"question\": \"Extract the completed customer and account fields from this form. Return only a valid JSON object with this structure:\\n\\n{\\n \\\"client_number\\\": null,\\n \\\"account_number\\\": null,\\n \\\"branch_name\\\": null,\\n \\\"surname\\\": null,\\n \\\"given_name\\\": null,\\n \\\"sex\\\": null,\\n \\\"birth_date\\\": null,\\n \\\"birth_city\\\": null,\\n \\\"birth_country\\\": null,\\n \\\"identity_document_type\\\": null,\\n \\\"identity_document_number\\\": null,\\n \\\"nationality\\\": null,\\n \\\"marital_status\\\": null,\\n \\\"mailing_address\\\": null,\\n \\\"postal_code\\\": null,\\n \\\"city\\\": null,\\n \\\"country\\\": null,\\n \\\"phone\\\": null,\\n \\\"email\\\": null,\\n \\\"profession\\\": null,\\n \\\"net_monthly_income\\\": null,\\n \\\"employer_category\\\": null,\\n \\\"account_type\\\": null\\n}\\n\\nUse customer entries, not printed labels or signatures. Mailing city/country belong to the address, not birthplace. Remove spaces from client, account, identity and telephone numbers; retain other punctuation and leading zeros. Keep dates and income, including any written currency, as written.\\n\\nIgnore crossed-out text when a replacement is visible. Assign misplaced entries by their explicit meaning, not by the adjacent blank; otherwise use the labelled field. Preserve handwritten spelling and abbreviations, including apparent mistakes.\\n\\nPreserve the text as written; join line breaks within a field with spaces. Do not infer missing information or translate. Use strings for extracted values and null for missing or unreadable fields. Include every key. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "b873d8344d68c362b62f95a3f242dc1a06e401e10322b526568c545a87a72f8e", "category": "structured", "subset": "cc71eb86fa5bf20e", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "473cd87efcb67824c4f9d33e93d201fb0eb44aa3e228da5da2d0a5dd59ab4300", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the completed customer and account fields from this form. Return only a valid JSON object with this structure:\n\n{\n \"client_number\": null,\n \"account_number\": null,\n \"branch_name\": null,\n \"surname\": null,\n \"given_name\": null,\n \"sex\": null,\n \"birth_date\": null,\n \"birth_city\": null,\n \"birth_country\": null,\n \"identity_document_type\": null,\n \"identity_document_number\": null,\n \"nationality\": null,\n \"marital_status\": null,\n \"mailing_address\": null,\n \"postal_code\": null,\n \"city\": null,\n \"country\": null,\n \"phone\": null,\n \"email\": null,\n \"profession\": null,\n \"net_monthly_income\": null,\n \"employer_category\": null,\n \"account_type\": null\n}\n\nUse customer entries, not printed labels or signatures. Mailing city/country belong to the address, not birthplace. Remove spaces from client, account, identity and telephone numbers; retain other punctuation and leading zeros. Keep dates and income, including any written currency, as written.\n\nIgnore crossed-out text when a replacement is visible. Assign misplaced entries by their explicit meaning, not by the adjacent blank; otherwise use the labelled field. Preserve handwritten spelling and abbreviations, including apparent mistakes.\n\nPreserve the text as written; join line breaks within a field with spaces. Do not infer missing information or translate. Use strings for extracted values and null for missing or unreadable fields. Include every key. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 23, "reference_fields": 23, "predicted_fields": 23, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 18.1208}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 488, "image": "image_c27673a970acc7e79a77026b_jpg.rf.375ef97cc809c4603acc58da066ab083.jpg", "expected": "{\"merchant\":\"Store-SSG Tower\",\"receipt_number\":null,\"date\":\"11/18/2016\",\"time\":\"08:25\",\"currency\":null,\"items\":[{\"description\":\"ICED CAFFE LATTE T\",\"quantity\":\"1.0000\",\"unit_price\":null,\"line_total\":\"70,000\"},{\"description\":\". EXTRA VANILA SYRUP\",\"quantity\":\"1.0000\",\"unit_price\":null,\"line_total\":\"10,000\"}],\"subtotal\":\"72,727\",\"discount\":null,\"tax\":\"7,273\",\"total\":\"80,000\"}", "predicted": "{\"merchant\":\"Store-SSG Tower\",\"receipt_number\":null,\"date\":\"11/18/2016\",\"time\":\"08:25\",\"currency\":null,\"items\":[{\"description\":\"ICED CAFFE LATTE T\",\"quantity\":\"1.0000\",\"unit_price\":null,\"line_total\":\"70,000\"},{\"description\":\". EXTRA VANILA SYRUP\",\"quantity\":\"1.0000\",\"unit_price\":null,\"line_total\":\"10,000\"}],\"subtotal\":\"72,727\",\"discount\":null,\"tax\":\"7,273\",\"total\":\"80,000\"}", "correct": true, "input_tokens": 1412, "output_tokens": 1634, "elapsed_seconds": 19.907929791952483, "metadata": {"question": "{\"question\": \"Extract the transaction and purchased items from this receipt. Return only a valid JSON object with these fields:\\n\\n{\\\"merchant\\\":null,\\\"receipt_number\\\":null,\\\"date\\\":null,\\\"time\\\":null,\\\"currency\\\":null,\\\"items\\\":[{\\\"description\\\":null,\\\"quantity\\\":null,\\\"unit_price\\\":null,\\\"line_total\\\":null}],\\\"subtotal\\\":null,\\\"discount\\\":null,\\\"tax\\\":null,\\\"total\\\":null}\\n\\nMerchant: printed header company/business name, otherwise store/branch name; never infer from logos or websites. Receipt number: prefer Bill/Invoice/Receipt, then Check/CHK, then transaction/order ID; exclude terminal, table, payment and unlabeled barcode numbers. Use transaction date/time, retaining printed separators and AM/PM.\\n\\nItems: one row per priced purchase/add-on; append unpriced product modifiers to its description. Exclude promotion, discount, tax and payment lines. Copy unit_price only from a separate printed unit-price field; a lone amount is line_total. Preserve item order.\\n\\nTotal: primary final sale amount, not alternate-currency conversion, payment, change or balance. Currency must explicitly apply to that primary amount. Subtotal, discount and tax: printed receipt-wide summary amounts only, not item-level adjustments or percentages. Do not calculate. Omit currency from amount strings; preserve signs and separators.\\n\\nPreserve other text and capitalization; join field line breaks with spaces. Use strings, null for missing/unreadable fields, and [] for no items. Include every key. Do not infer missing text, translate or add explanations/Markdown.\", \"task\": \"structured\"}", "sample_id": "6c24e88ec59b1e24d04b4789392ecae3ae1793b36726cf88da5ea194e64fdce4", "category": "structured", "subset": "a703300632cb4e39", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "1ff123ae86ae91411d4b866585262bfdc2c669e86245898a8d2b2a7b19bd6bd5", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the transaction and purchased items from this receipt. Return only a valid JSON object with these fields:\n\n{\"merchant\":null,\"receipt_number\":null,\"date\":null,\"time\":null,\"currency\":null,\"items\":[{\"description\":null,\"quantity\":null,\"unit_price\":null,\"line_total\":null}],\"subtotal\":null,\"discount\":null,\"tax\":null,\"total\":null}\n\nMerchant: printed header company/business name, otherwise store/branch name; never infer from logos or websites. Receipt number: prefer Bill/Invoice/Receipt, then Check/CHK, then transaction/order ID; exclude terminal, table, payment and unlabeled barcode numbers. Use transaction date/time, retaining printed separators and AM/PM.\n\nItems: one row per priced purchase/add-on; append unpriced product modifiers to its description. Exclude promotion, discount, tax and payment lines. Copy unit_price only from a separate printed unit-price field; a lone amount is line_total. Preserve item order.\n\nTotal: primary final sale amount, not alternate-currency conversion, payment, change or balance. Currency must explicitly apply to that primary amount. Subtotal, discount and tax: printed receipt-wide summary amounts only, not item-level adjustments or percentages. Do not calculate. Omit currency from amount strings; preserve signs and separators.\n\nPreserve other text and capitalization; join field line breaks with spaces. Use strings, null for missing/unreadable fields, and [] for no items. Include every key. Do not infer missing text, translate or add explanations/Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 17, "reference_fields": 17, "predicted_fields": 17, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 19.9221}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 489, "image": "image_7e838f65b0f908bc5e94e2d4_jpg.rf.bf64ebb2ea392034e487eb906200c0f0.jpg", "expected": "8803888", "predicted": "8803888", "correct": true, "input_tokens": 1144, "output_tokens": 1048, "elapsed_seconds": 22.691355083021335, "metadata": {"question": "{\"question\": \"Read the identification code on the utility pole tag. Return only the code, joining vertically stacked characters without spaces and preserving leading zeros and hyphens. Exclude labels such as POLE NO., timestamps and GPS/address overlays. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "63fe0d4a75e2302a5f6c7da91c97ca7e75ccdddfb7e903b7c6db58b3f80b2a24", "category": "single_string", "subset": "cd97317d8ff518ba", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "43530d64325f81af788afb0006b7a85cfe3f64d3773c9ba4918c6baeb1f994b6", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the identification code on the utility pole tag. Return only the code, joining vertically stacked characters without spaces and preserving leading zeros and hyphens. Exclude labels such as POLE NO., timestamps and GPS/address overlays. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 23.1137}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 490, "image": "image_ef6d8da449199113c436dcbe_jpg.rf.0948da853c5f0930fa95237dae3d0a67.jpg", "expected": "[{\"bbox\":[0,6,11,25],\"text\":\"2\"},{\"bbox\":[0,31,12,51],\"text\":\"1\"},{\"bbox\":[41,51,56,93],\"text\":\"CN5\"},{\"bbox\":[226,51,261,70],\"text\":\"CNB\"},{\"bbox\":[374,53,393,64],\"text\":\"R3\"},{\"bbox\":[552,57,563,84],\"text\":\"SW3\"},{\"bbox\":[460,58,473,88],\"text\":\"SW2\"},{\"bbox\":[166,66,197,82],\"text\":\"C13\"},{\"bbox\":[108,67,143,104],\"text\":\"150 CFK 0C7\"},{\"bbox\":[417,75,445,88],\"text\":\"RM6\"},{\"bbox\":[251,76,270,91],\"text\":\"C8\"},{\"bbox\":[309,76,357,112],\"text\":\"CX104BB 30.000M TCY1151\"},{\"bbox\":[373,81,400,94],\"text\":\"R38\"},{\"bbox\":[424,96,438,107],\"text\":\"102\"},{\"bbox\":[81,101,102,119],\"text\":\"C9\"},{\"bbox\":[182,105,202,121],\"text\":\"C5\"},{\"bbox\":[373,109,399,122],\"text\":\"R34\"},{\"bbox\":[218,118,242,133],\"text\":\"EM1\"},{\"bbox\":[653,118,720,134],\"text\":\"MR2A16A\"},{\"bbox\":[423,128,462,142],\"text\":\"FPGA\"},{\"bbox\":[321,131,352,143],\"text\":\"U22\"},{\"bbox\":[746,145,759,176],\"text\":\"U23\"},{\"bbox\":[246,149,255,172],\"text\":\"TP1\"},{\"bbox\":[551,149,563,176],\"text\":\"R25\"},{\"bbox\":[507,150,518,177],\"text\":\"R26\"},{\"bbox\":[769,166,787,178],\"text\":\"1\"},{\"bbox\":[57,168,85,186],\"text\":\"JP2\"},{\"bbox\":[35,169,58,185],\"text\":\"JP1\"},{\"bbox\":[236,175,249,194],\"text\":\"C6\"},{\"bbox\":[549,181,567,194],\"text\":\"L9\"},{\"bbox\":[343,182,452,318],\"text\":null},{\"bbox\":[106,192,177,228],\"text\":\"EN5335QI E01MD U140\"},{\"bbox\":[5,194,39,206],\"text\":\"TPG1\"},{\"bbox\":[552,194,581,204],\"text\":\"[DN]\"},{\"bbox\":[662,197,673,220],\"text\":\"RM1\"},{\"bbox\":[230,201,240,221],\"text\":\"C4\"},{\"bbox\":[639,202,650,220],\"text\":\"U3\"},{\"bbox\":[688,203,702,212],\"text\":\"102\"},{\"bbox\":[1,204,42,216],\"text\":\"[GND]\"},{\"bbox\":[525,215,544,228],\"text\":\"Q1\"},{\"bbox\":[507,219,518,246],\"text\":\"R19\"},{\"bbox\":[237,221,249,241],\"text\":\"C7\"},{\"bbox\":[36,224,48,245],\"text\":\"C3\"},{\"bbox\":[640,225,652,245],\"text\":\"U4\"},{\"bbox\":[690,227,717,241],\"text\":\"R20\"},{\"bbox\":[582,228,593,257],\"text\":\"CN2\"},{\"bbox\":[749,232,763,284],\"text\":\"[JTAG]\"},{\"bbox\":[93,238,108,251],\"text\":\"U1\"},{\"bbox\":[68,245,82,268],\"text\":\"R16\"},{\"bbox\":[187,245,199,274],\"text\":\"EM2\"},{\"bbox\":[688,245,718,259],\"text\":\"R23\"},{\"bbox\":[507,246,519,264],\"text\":\"U5\"},{\"bbox\":[118,249,130,274],\"text\":\"C16\"},{\"bbox\":[86,258,94,276],\"text\":\"P2\"},{\"bbox\":[94,258,105,275],\"text\":\"P1\"},{\"bbox\":[639,258,668,272],\"text\":\"RM3\"},{\"bbox\":[691,262,716,273],\"text\":\"R21\"},{\"bbox\":[609,268,622,277],\"text\":\"472\"},{\"bbox\":[69,270,85,279],\"text\":\"L8\"},{\"bbox\":[690,274,718,290],\"text\":\"R22\"},{\"bbox\":[521,277,537,290],\"text\":\"R1\"},{\"bbox\":[55,280,83,292],\"text\":\"[PW]\"},{\"bbox\":[232,285,246,311],\"text\":\"C15\"},{\"bbox\":[7,288,35,297],\"text\":\"CN4\"},{\"bbox\":[570,288,594,302],\"text\":\"R11\"},{\"bbox\":[750,293,761,321],\"text\":\"CN3\"},{\"bbox\":[525,296,536,316],\"text\":\"R6\"},{\"bbox\":[569,306,595,318],\"text\":\"R10\"},{\"bbox\":[105,308,176,344],\"text\":\"EN5335QI E01MD U140\"},{\"bbox\":[7,309,17,335],\"text\":\"C11\"},{\"bbox\":[239,313,251,339],\"text\":\"C17\"},{\"bbox\":[571,321,592,333],\"text\":\"R9\"},{\"bbox\":[645,328,729,365],\"text\":null},{\"bbox\":[84,334,94,359],\"text\":\"C14\"},{\"bbox\":[572,337,588,349],\"text\":\"R8\"},{\"bbox\":[594,338,618,351],\"text\":\"SW1\"},{\"bbox\":[525,343,537,362],\"text\":\"R7\"},{\"bbox\":[742,346,756,364],\"text\":\"U7\"},{\"bbox\":[219,352,232,361],\"text\":\"102\"},{\"bbox\":[770,352,787,363],\"text\":\"7\"},{\"bbox\":[98,357,118,372],\"text\":\"U2\"},{\"bbox\":[319,358,348,370],\"text\":\"U21\"},{\"bbox\":[164,360,176,378],\"text\":\"P3\"},{\"bbox\":[9,361,18,380],\"text\":\"D1\"},{\"bbox\":[248,361,276,374],\"text\":\"RM4\"},{\"bbox\":[375,362,402,374],\"text\":\"R37\"},{\"bbox\":[754,365,764,404],\"text\":\"[GND]\"},{\"bbox\":[740,367,752,404],\"text\":\"TPG2\"},{\"bbox\":[66,368,86,383],\"text\":\"P4\"},{\"bbox\":[33,369,45,390],\"text\":null},{\"bbox\":[487,370,501,395],\"text\":\"RC1\"},{\"bbox\":[575,375,587,384],\"text\":null},{\"bbox\":[587,375,598,385],\"text\":null},{\"bbox\":[611,376,620,385],\"text\":null},{\"bbox\":[601,377,611,383],\"text\":null},{\"bbox\":[311,386,358,419],\"text\":\"CX104BB 50.000M TCY1121\"},{\"bbox\":[377,389,395,403],\"text\":\"R2\"},{\"bbox\":[424,393,438,402],\"text\":\"102\"},{\"bbox\":[106,398,138,434],\"text\":\"150 CFK 0C7\"},{\"bbox\":[41,404,57,433],\"text\":\"CN1\"},{\"bbox\":[527,412,555,426],\"text\":\"RM2\"},{\"bbox\":[574,412,586,420],\"text\":\"1\"},{\"bbox\":[598,412,610,421],\"text\":\"3\"},{\"bbox\":[587,413,598,421],\"text\":\"2\"},{\"bbox\":[610,413,623,421],\"text\":\"4\"},{\"bbox\":[645,413,741,444],\"text\":\"HUMANDATA XCM-019B\"},{\"bbox\":[415,414,446,430],\"text\":\"RM5\"},{\"bbox\":[195,416,209,437],\"text\":\"L6\"},{\"bbox\":[209,416,221,439],\"text\":\"L5\"},{\"bbox\":[236,416,248,436],\"text\":\"L3\"},{\"bbox\":[249,416,263,436],\"text\":\"L2\"},{\"bbox\":[278,416,291,437],\"text\":\"L0\"},{\"bbox\":[179,417,193,436],\"text\":\"L7\"},{\"bbox\":[223,417,234,437],\"text\":\"L4\"},{\"bbox\":[264,418,276,436],\"text\":\"L1\"},{\"bbox\":[375,418,399,431],\"text\":\"R33\"},{\"bbox\":[84,420,98,436],\"text\":\"C1\"},{\"bbox\":[464,431,500,448],\"text\":\"CNA\"},{\"bbox\":[753,436,775,448],\"text\":\"66\"},{\"bbox\":[0,456,14,473],\"text\":\"2\"},{\"bbox\":[1,479,15,501],\"text\":\"1\"}]", "predicted": "[{\"box_2d\": [18, 2, 46, 16], \"text\": \"1\"}, {\"box_2d\": [56, 985, 86, 998], \"text\": \"99\"}, {\"box_2d\": [68, 4, 92, 16], \"text\": \"2\"}, {\"box_2d\": [108, 469, 130, 490], \"text\": \"R3\"}, {\"box_2d\": [110, 54, 162, 68], \"text\": \"CN5\"}, {\"box_2d\": [112, 285, 138, 326], \"text\": \"CNB\"}, {\"box_2d\": [120, 691, 170, 705], \"text\": \"SW3\"}, {\"box_2d\": [122, 578, 172, 590], \"text\": \"SW2\"}, {\"box_2d\": [138, 211, 160, 241], \"text\": \"C13\"}, {\"box_2d\": [142, 136, 204, 176], \"text\": \"150 CFK. 0C7\"}, {\"box_2d\": [156, 522, 176, 555], \"text\": \"RM6\"}, {\"box_2d\": [158, 389, 220, 449], \"text\": \"CX104BB 30.000M TCY1151\"}, {\"box_2d\": [160, 314, 182, 336], \"text\": \"C8\"}, {\"box_2d\": [164, 469, 186, 500], \"text\": \"R38\"}, {\"box_2d\": [198, 534, 210, 548], \"text\": \"102\"}, {\"box_2d\": [212, 104, 236, 126], \"text\": \"C9\"}, {\"box_2d\": [220, 229, 242, 250], \"text\": \"C5\"}, {\"box_2d\": [222, 469, 244, 500], \"text\": \"R34\"}, {\"box_2d\": [242, 273, 264, 301], \"text\": \"EM1\"}, {\"box_2d\": [242, 824, 266, 895], \"text\": \"MR2A16A\"}, {\"box_2d\": [260, 405, 284, 438], \"text\": \"U22\"}, {\"box_2d\": [260, 531, 284, 574], \"text\": \"FPGA\"}, {\"box_2d\": [296, 309, 340, 321], \"text\": \"TP1\"}, {\"box_2d\": [296, 934, 348, 949], \"text\": \"U23\"}, {\"box_2d\": [302, 636, 354, 650], \"text\": \"R26\"}, {\"box_2d\": [302, 690, 354, 704], \"text\": \"R25\"}, {\"box_2d\": [342, 46, 366, 72], \"text\": \"JP1\"}, {\"box_2d\": [342, 76, 366, 106], \"text\": \"JP2\"}, {\"box_2d\": [342, 965, 354, 980], \"text\": \"1\"}, {\"box_2d\": [352, 298, 386, 310], \"text\": \"C6\"}, {\"box_2d\": [366, 690, 410, 726], \"text\": \"L9 [DN]\"}, {\"box_2d\": [374, 430, 558, 566], \"text\": \"XILINX SPARTAN-6 XC6SLX45 TM FGG484CIV1145 D4317773A 2C\"}, {\"box_2d\": [388, 830, 436, 842], \"text\": \"RM1\"}, {\"box_2d\": [390, 10, 430, 50], \"text\": \"TPG1 [GND]\"}, {\"box_2d\": [390, 140, 452, 218], \"text\": \"EN5335QI E01MD U140\"}, {\"box_2d\": [404, 285, 440, 299], \"text\": \"C4\"}, {\"box_2d\": [406, 799, 440, 812], \"text\": \"U3\"}, {\"box_2d\": [410, 864, 422, 879], \"text\": \"102\"}, {\"box_2d\": [432, 661, 452, 680], \"text\": \"Q1\"}, {\"box_2d\": [440, 636, 488, 650], \"text\": \"R19\"}, {\"box_2d\": [450, 298, 484, 311], \"text\": \"C7\"}, {\"box_2d\": [452, 50, 486, 64], \"text\": \"C3\"}, {\"box_2d\": [454, 799, 490, 812], \"text\": \"U4\"}, {\"box_2d\": [458, 865, 480, 898], \"text\": \"R20\"}, {\"box_2d\": [462, 728, 514, 741], \"text\": \"CN2\"}, {\"box_2d\": [464, 938, 568, 954], \"text\": \"[JTAG]\"}, {\"box_2d\": [476, 117, 500, 136], \"text\": \"U1\"}, {\"box_2d\": [488, 89, 536, 102], \"text\": \"R16\"}, {\"box_2d\": [492, 236, 544, 249], \"text\": \"EM2\"}, {\"box_2d\": [492, 636, 528, 650], \"text\": \"U5\"}, {\"box_2d\": [492, 865, 514, 898], \"text\": \"R23\"}, {\"box_2d\": [500, 149, 548, 161], \"text\": \"C16\"}, {\"box_2d\": [516, 106, 550, 119], \"text\": \"P2\"}, {\"box_2d\": [516, 120, 548, 134], \"text\": \"P1\"}, {\"box_2d\": [518, 801, 540, 834], \"text\": \"RM3\"}, {\"box_2d\": [522, 865, 544, 895], \"text\": \"R21\"}, {\"box_2d\": [536, 70, 582, 109], \"text\": \"L8 [PW]\"}, {\"box_2d\": [542, 765, 554, 780], \"text\": \"472\"}, {\"box_2d\": [554, 865, 578, 898], \"text\": \"R22\"}, {\"box_2d\": [558, 652, 580, 671], \"text\": \"R1\"}, {\"box_2d\": [572, 12, 594, 44], \"text\": \"CN4\"}, {\"box_2d\": [572, 291, 620, 304], \"text\": \"C15\"}, {\"box_2d\": [576, 714, 598, 741], \"text\": \"R11\"}, {\"box_2d\": [586, 939, 640, 954], \"text\": \"CN3\"}, {\"box_2d\": [596, 656, 632, 669], \"text\": \"R6\"}, {\"box_2d\": [602, 434, 626, 493], \"text\": \"TAIWAN\"}, {\"box_2d\": [610, 714, 632, 745], \"text\": \"R10\"}, {\"box_2d\": [620, 9, 666, 21], \"text\": \"C11\"}, {\"box_2d\": [624, 141, 686, 219], \"text\": \"EN5335QI E01MD U140\"}, {\"box_2d\": [624, 299, 676, 312], \"text\": \"C17\"}, {\"box_2d\": [640, 714, 662, 735], \"text\": \"R9\"}, {\"box_2d\": [654, 811, 750, 902], \"text\": \"25P32V6P 78696 VS PHL 110\"}, {\"box_2d\": [666, 104, 714, 116], \"text\": \"C14\"}, {\"box_2d\": [674, 714, 696, 735], \"text\": \"R8\"}, {\"box_2d\": [676, 743, 698, 771], \"text\": \"SW1\"}, {\"box_2d\": [686, 658, 722, 670], \"text\": \"R7\"}, {\"box_2d\": [692, 930, 728, 945], \"text\": \"U7\"}, {\"box_2d\": [706, 276, 718, 291], \"text\": \"102\"}, {\"box_2d\": [708, 964, 722, 980], \"text\": \"7\"}, {\"box_2d\": [714, 404, 736, 434], \"text\": \"U21\"}, {\"box_2d\": [716, 124, 740, 145], \"text\": \"U2\"}, {\"box_2d\": [720, 206, 754, 219], \"text\": \"P3\"}, {\"box_2d\": [722, 10, 752, 23], \"text\": \"D1\"}, {\"box_2d\": [722, 311, 744, 344], \"text\": \"RM4\"}, {\"box_2d\": [724, 471, 746, 502], \"text\": \"R37\"}, {\"box_2d\": [728, 928, 804, 955], \"text\": \"TPG2 [GND]\"}, {\"box_2d\": [736, 84, 758, 104], \"text\": \"P4\"}, {\"box_2d\": [738, 612, 786, 626], \"text\": \"RC1\"}, {\"box_2d\": [752, 720, 766, 748], \"text\": \"ON\"}, {\"box_2d\": [772, 391, 834, 450], \"text\": \"CX104BB 50.000M TCY1121\"}, {\"box_2d\": [780, 471, 802, 493], \"text\": \"R2\"}, {\"box_2d\": [782, 674, 804, 683], \"text\": \"102\"}, {\"box_2d\": [790, 533, 802, 549], \"text\": \"102\"}, {\"box_2d\": [800, 136, 862, 175], \"text\": \"150 CFK. 0C7\"}, {\"box_2d\": [814, 59, 862, 71], \"text\": \"CN1\"}, {\"box_2d\": [824, 663, 846, 695], \"text\": \"RM2\"}, {\"box_2d\": [826, 720, 840, 779], \"text\": \"1 2 3 4\"}, {\"box_2d\": [830, 524, 852, 556], \"text\": \"RM5\"}, {\"box_2d\": [830, 809, 882, 926], \"text\": \"HUMANDATA XCM-019B\"}, {\"box_2d\": [834, 229, 868, 241], \"text\": \"L7\"}, {\"box_2d\": [834, 246, 868, 259], \"text\": \"L6\"}, {\"box_2d\": [834, 264, 868, 276], \"text\": \"L5\"}, {\"box_2d\": [834, 280, 868, 294], \"text\": \"L4\"}, {\"box_2d\": [834, 298, 868, 310], \"text\": \"L3\"}, {\"box_2d\": [834, 315, 868, 328], \"text\": \"L2\"}, {\"box_2d\": [834, 333, 868, 345], \"text\": \"L1\"}, {\"box_2d\": [834, 349, 868, 362], \"text\": \"L0\"}, {\"box_2d\": [836, 471, 858, 502], \"text\": \"R33\"}, {\"box_2d\": [842, 104, 872, 117], \"text\": \"C1\"}, {\"box_2d\": [856, 710, 878, 719], \"text\": \"1\"}, {\"box_2d\": [866, 584, 892, 625], \"text\": \"CNA\"}, {\"box_2d\": [876, 944, 898, 968], \"text\": \"99\"}, {\"box_2d\": [910, 4, 934, 15], \"text\": \"2\"}, {\"box_2d\": [954, 5, 978, 14], \"text\": \"1\"}]", "correct": false, "input_tokens": 1322, "output_tokens": 8859, "elapsed_seconds": 59.749798084027134, "metadata": {"question": "{\"question\": \"Locate and transcribe all visible text on the circuit board and its components.\", \"specification\": \"Use one box per distinct marking; join lines within the same marking with single spaces. Exclude logos and non-text symbols. Return plain text, not LaTeX.\\n\\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Do not include explanations or Markdown.\", \"task\": \"localization_recognition\"}", "sample_id": "033b64675b830643e0ab6fb88a63ecc42f9923c6435f90599f9f743ccf6bddac", "category": "localization_recognition", "subset": "6594bb1ef85ebb84", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "022dc2f67bf7ac89d094b5998d0078a0a1a5f50dd3efa628ba47a15c624c0b2d", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe all visible text on the circuit board and its components.\n\nUse one box per distinct marking; join lines within the same marking with single spaces. Exclude logos and non-text symbols. Return plain text, not LaTeX.\n\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Do not include explanations or Markdown.\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 0.7319, "status": "ok", "format_compliant": true, "detection_f1": 0.7829787234042553, "matched_regions": 86, "reference_regions": 121, "predicted_regions": 114, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 59.7696}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 491, "image": "image_92a5a9515e5595634fb36fad_jpg.rf.60a953729e45cf4e52296474c2e59b02.jpg", "expected": "[{\"bbox\":[940,68,996,111],\"text\":\"3,7\"},{\"bbox\":[21,145,80,188],\"text\":\"4,3\"},{\"bbox\":[567,924,596,956],\"text\":\"3\"}]", "predicted": "[{\"box_2d\": [58, 864, 94, 916], \"text\": \"3,7\"}, {\"box_2d\": [125, 19, 159, 73], \"text\": \"4,3\"}, {\"box_2d\": [807, 523, 833, 548], \"text\": \"3\"}]", "correct": true, "input_tokens": 1332, "output_tokens": 517, "elapsed_seconds": 9.032070458051749, "metadata": {"question": "{\"question\": \"Locate and transcribe all visible map labels, abbreviations and numbers.\", \"specification\": \"Use one box per label line, keeping spaced-out letters of the same label together. Include rotated and curved labels; enclose each curved line in one box. Transcribe only visible characters at image edges. Preserve historical spelling, diacritics and punctuation; do not expand abbreviations or modernize names. Return plain text, not LaTeX.\\n\\nUse tight, axis-aligned boxes. Return entries top-to-bottom, then left-to-right. Use null for a visible region whose text cannot be read, and [] when none are present. Return no explanations or Markdown.\", \"task\": \"localization_recognition\"}", "sample_id": "2bdc6c9cae75702c172b94aa63b76310744079f7e9752e8f0cb9490c3e484112", "category": "localization_recognition", "subset": "60ba2e315b54c16e", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "9ea931ad16de84af705fc66726dcebc3278f3d00c29d2148383accc42efb3547", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe all visible map labels, abbreviations and numbers.\n\nUse one box per label line, keeping spaced-out letters of the same label together. Include rotated and curved labels; enclose each curved line in one box. Transcribe only visible characters at image edges. Preserve historical spelling, diacritics and punctuation; do not expand abbreviations or modernize names. Return plain text, not LaTeX.\n\nUse tight, axis-aligned boxes. Return entries top-to-bottom, then left-to-right. Use null for a visible region whose text cannot be read, and [] when none are present. Return no explanations or Markdown.\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 1.0, "status": "ok", "format_compliant": true, "detection_f1": 1.0, "matched_regions": 3, "reference_regions": 3, "predicted_regions": 3, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 9.1045}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 492, "image": "image_b05581f77445c81796a25f3d_png_jpg.rf.87f92e48cd4c81471ab5e41f7d589ab4.jpg", "expected": "99009", "predicted": "09010", "correct": false, "input_tokens": 1152, "output_tokens": 2308, "elapsed_seconds": 29.20371016592253, "metadata": {"question": "{\"question\": \"Read the electricity meter reading indicated by the five dials in this image. Return only the five-digit reading, preserving leading zeros. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "759cb2cd8739f121e44dfa3dd977840042d0a35ac188ef8219824403345cb827", "category": "single_string", "subset": "65c332a8b2270f58", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "c18911a56d39ed6d59a59a535eb6ab6f7365ff475c91e4158c825d7b1ca8dd79", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the electricity meter reading indicated by the five dials in this image. Return only the five-digit reading, preserving leading zeros. Do not explain.", "match_method": "single_string", "score": 0.0, "status": "ok", "format_compliant": true, "attempts": 2, "retries": 1, "total_seconds": 91.9061, "transient_errors": ["RemoteProtocolError"]}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 493, "image": "image_a87b7942931e47bae5c65a02_jpg.rf.f976c6ba1947054f966e3e0067c6b36f.jpg", "expected": "195-30-1285\n2644", "predicted": "195-30-1285\n2644", "correct": true, "input_tokens": 1197, "output_tokens": 804, "elapsed_seconds": 11.552350999903865, "metadata": {"question": "{\"question\": \"Transcribe the engraved or stamped letters and numbers on the main foreground metal part. Read each marking in its own orientation; follow curved identifiers from their beginning and put a separate serial number on a new line. Order other lines top-to-bottom, left-to-right. Preserve case, punctuation and line breaks; exclude inspection logos, non-text symbols and clipped background markings. Do not infer missing characters. Use [illegible] for unreadable spans. Return only the transcription, without Markdown or explanations.\", \"task\": \"transcription\"}", "sample_id": "6ff97ea8a570fbd8fc625c3fa3f6c98db3ad52f2f74a99bd2e66d08933e86985", "category": "transcription", "subset": "b2eb7f0ca4b3cb11", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "4266ab9e915f196e273cc8fc68e7a6d7c5bedfeba45227906908f56c6143e53f", "text_protocol": "mixed-text-v2", "scoring_profile": "transcription", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Transcribe the engraved or stamped letters and numbers on the main foreground metal part. Read each marking in its own orientation; follow curved identifiers from their beginning and put a separate serial number on a new line. Order other lines top-to-bottom, left-to-right. Preserve case, punctuation and line breaks; exclude inspection logos, non-text symbols and clipped background markings. Do not infer missing characters. Use [illegible] for unreadable spans. Return only the transcription, without Markdown or explanations.", "match_method": "transcription", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 11.6103}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 494, "image": "image_42d58e98ec27e699ae1d5114_jpg.rf.99d0d153de8752e8c0d8a82d652460d1.jpg", "expected": "{\"invoice_number\":\"411\",\"date\":\"30/09/025\",\"customer_name\":\"Smt Rani\",\"items\":[{\"medicine\":\"ERest beta 0.25\",\"quantity\":\"10 tb\",\"batch_number\":\"CTV01ABA\",\"expiration_date\":\"11/27\",\"amount\":\"58\"},{\"medicine\":\"Health OK\",\"quantity\":\"10 tb\",\"batch_number\":\"SJA1X093\",\"expiration_date\":\"10/26\",\"amount\":\"110\"},{\"medicine\":\"Tramadin Plus\",\"quantity\":\"10 tb\",\"batch_number\":\"CHSX01\",\"expiration_date\":\"4/27\",\"amount\":\"93\"},{\"medicine\":\"Pantakind DSR\",\"quantity\":\"10 tb\",\"batch_number\":\"FGAGX014\",\"expiration_date\":\"4/27\",\"amount\":\"120\"}],\"total\":\"342\"}", "predicted": "{\n \"invoice_number\": \"411\",\n \"date\": \"30/09/025\",\n \"customer_name\": \"Smt Rani\",\n \"items\": [\n {\n \"medicine\": \"ERest beta 0.25\",\n \"quantity\": \"10TS\",\n \"batch_number\": \"CHW01ABA\",\n \"expiration_date\": \"1/27\",\n \"amount\": \"58\"\n },\n {\n \"medicine\": \"Health ok\",\n \"quantity\": \"10TS\",\n \"batch_number\": \"STA1X093\",\n \"expiration_date\": \"10/26\",\n \"amount\": \"110\"\n },\n {\n \"medicine\": \"Tramadin Plus\",\n \"quantity\": \"10TS\",\n \"batch_number\": \"CHSY01\",\n \"expiration_date\": \"4/27\",\n \"amount\": \"93\"\n },\n {\n \"medicine\": \"Pantakind- DSR\",\n \"quantity\": \"10TS\",\n \"batch_number\": \"F6AGX014\",\n \"expiration_date\": \"4/27\",\n \"amount\": \"120\"\n }\n ],\n \"total\": \"342\"\n}", "correct": false, "input_tokens": 1307, "output_tokens": 2213, "elapsed_seconds": 37.74821962497663, "metadata": {"question": "{\"question\": \"Extract the information from this pharmacy bill. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"invoice_number\\\": null,\\n \\\"date\\\": null,\\n \\\"customer_name\\\": null,\\n \\\"items\\\": [\\n {\\n \\\"medicine\\\": null,\\n \\\"quantity\\\": null,\\n \\\"batch_number\\\": null,\\n \\\"expiration_date\\\": null,\\n \\\"amount\\\": null\\n }\\n ],\\n \\\"total\\\": null\\n}\\n\\nReturn one item per medicine row in reading order. Preserve quantity units. Separate batch numbers from expiration dates. amount is the row amount, not the unit price; total is the final payable amount. Do not calculate amounts. If there are no medicine rows, return an empty items array.\\n\\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "9ac480850dd9c475eeced33f6964bbbece5fcac6f2b2194290b5a42374dff16e", "category": "structured", "subset": "05ecf6bf05f5c67d", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "ae0ff6da410ae593f4a0845f1df972e2a5b527e031f303e44669a441d7255883", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information from this pharmacy bill. Return only a valid JSON object with these fields:\n\n{\n \"invoice_number\": null,\n \"date\": null,\n \"customer_name\": null,\n \"items\": [\n {\n \"medicine\": null,\n \"quantity\": null,\n \"batch_number\": null,\n \"expiration_date\": null,\n \"amount\": null\n }\n ],\n \"total\": null\n}\n\nReturn one item per medicine row in reading order. Preserve quantity units. Separate batch numbers from expiration dates. amount is the row amount, not the unit price; total is the final payable amount. Do not calculate amounts. If there are no medicine rows, return an empty items array.\n\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 0.5417, "status": "ok", "format_compliant": true, "matched_fields": 13, "reference_fields": 24, "predicted_fields": 24, "non_null_field_accuracy": 0.5416666666666666, "object_exact_match": false, "attempts": 1, "retries": 0, "total_seconds": 38.7834}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 495, "image": "image_49a3df5f8f514b74cc98149f_jpg.rf.e11185f6545468cc127927499c6d7b1a.jpg", "expected": "07530", "predicted": "07530", "correct": true, "input_tokens": 1146, "output_tokens": 169, "elapsed_seconds": 5.549897541990504, "metadata": {"question": "{\"question\": \"Read the electricity meter reading visible in this image. Return only the reading as a string of digits. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "be94ce987657318210fa842384bb24a6cd6ee072058c19dd3d8e999733e91f77", "category": "single_string", "subset": "3a0d0e0892a8fc95", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "722231b5826f42adbeaff34aa14506ffb5a323db4ba98811e3fe82968611da06", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the electricity meter reading visible in this image. Return only the reading as a string of digits. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 5.6306}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 496, "image": "image_76c7c4d7d9b242559b9384c1_jpg.rf.09355d30012aaa9212f8e12fba88f10b.jpg", "expected": "250203", "predicted": "250203", "correct": true, "input_tokens": 1143, "output_tokens": 1340, "elapsed_seconds": 19.36564324994106, "metadata": {"question": "{\"question\": \"Read the six-digit code engraved on the metal surface. Return only the code as a string of digits, preserving leading zeros. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "dca87da61f6a3f5dd69a9a441cc7e5d9e6afc219f357dac68abbd299e71f83ce", "category": "single_string", "subset": "f2a87f15a0d3eb96", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "45a1af1d53de10fff5c2c9871f8532ea0df5f76adfbad0c4e25e5f3e81613f8c", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the six-digit code engraved on the metal surface. Return only the code as a string of digits, preserving leading zeros. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 19.3763}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 497, "image": "image_187781a02299caff507a557e_jpg.rf.00ac562bbe6f2296e5a2b942b98a79f5.jpg", "expected": "{\"recipient_name\":\"\u5c71\u4e0a\u8a69\u7a42\",\"recipient_furigana\":\"\u30e4\u30de\u30ab\u30df\u30b7\u30aa\",\"recipient_address\":\"\u611b\u77e5\u770c\u540d\u53e4\u5c4b\u5e02\u897f\u533a\u540d\u99c52\u4e01\u76ee16-9\u30d7\u30ec\u30b5\u30f3\u30b9\u540d\u53e4\u5c4bSTATION\u30d3\u30b8\u30e5 1505\",\"recipient_position\":null,\"salary_payment_amount\":\"7,000,000\",\"income_after_salary_deduction\":\"5,100,000\",\"total_income_deductions\":\"220,000\",\"withholding_tax\":\"194,500\",\"payer_name\":\"\u682a\u5f0f\u4f1a\u793e\u30a2\u30bb\u30c3\u30c8\u30b8\u30e3\u30d1\u30f3\",\"payer_address\":\"\u611b\u77e5\u770c\u540d\u53e4\u5c4b\u5e02\u4e2d\u533a\u68042-2-23\u30a2\u30fc\u30af\u767d\u5ddd\u516c\u5712\u30d3\u30eb7F\",\"payer_phone\":\"052-990-2645\"}", "predicted": "{\n \"recipient_name\": \"\u5c71\u4e0a\u8a69\u7a42\",\n \"recipient_furigana\": \"\u30e4\u30de\u30ab\u30df\u30b7\u30db\",\n \"recipient_address\": \"\u611b\u77e5\u770c\u540d\u53e4\u5c4b\u5e02\u897f\u533a\u540d\u99c52\u4e01\u76ee16-9\u30d7\u30ec\u30b5\u30f3\u30b9\u540d\u53e4\u5c4bSTATION\u30d3\u30b8\u30e5 1505\",\n \"recipient_position\": null,\n \"salary_payment_amount\": \"7,000,000\",\n \"income_after_salary_deduction\": \"5,100,000\",\n \"total_income_deductions\": \"220,000\",\n \"withholding_tax\": \"194,500\",\n \"payer_name\": \"\u682a\u5f0f\u4f1a\u793e\u30a2\u30bb\u30c3\u30c8\u30b8\u30e3\u30d1\u30f3\",\n \"payer_address\": \"\u611b\u77e5\u770c\u540d\u53e4\u5c4b\u5e02\u4e2d\u533a\u68042-2-23\u30a2\u30fc\u30af\u767d\u5ddd\u516c\u5712\u30d3\u30eb7F\",\n \"payer_phone\": \"052-990-2645\"\n}", "correct": false, "input_tokens": 1418, "output_tokens": 3409, "elapsed_seconds": 45.25486758293118, "metadata": {"question": "{\"question\": \"Extract these fields from the Japanese salary withholding certificate. Return only a valid JSON object with this structure:\\n\\n{\\n \\\"recipient_name\\\": null,\\n \\\"recipient_furigana\\\": null,\\n \\\"recipient_address\\\": null,\\n \\\"recipient_position\\\": null,\\n \\\"salary_payment_amount\\\": null,\\n \\\"income_after_salary_deduction\\\": null,\\n \\\"total_income_deductions\\\": null,\\n \\\"withholding_tax\\\": null,\\n \\\"payer_name\\\": null,\\n \\\"payer_address\\\": null,\\n \\\"payer_phone\\\": null\\n}\\n\\nRecipient fields come from \u652f\u6255\u3092\u53d7\u3051\u308b\u8005; payer fields come from \u652f\u6255\u8005. Map amounts to \u652f\u6255\u91d1\u984d, \u7d66\u4e0e\u6240\u5f97\u63a7\u9664\u5f8c\u306e\u91d1\u984d, \u6240\u5f97\u63a7\u9664\u306e\u984d\u306e\u5408\u8a08\u984d and \u6e90\u6cc9\u5fb4\u53ce\u7a0e\u984d respectively. Join digits across adjacent boxes; omit printed currency/unit headings, preserving visible numeric separators. Copy furigana exactly even if it differs from the name; do not repair inconsistent entries.\\n\\nIgnore typographic spacing inside Japanese names, words and digit strings; join wrapped Japanese text without adding spaces. Use ASCII digits; preserve actual punctuation. Preserve other text as written. Do not infer missing information or translate. Use strings for extracted values and null for missing or unreadable fields. Include every key. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "bade0b534b3b31b735589a8db9298d0aa025d15345b6578fad077a908b28e1eb", "category": "structured", "subset": "7536d2f054eb9bde", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "802330550adb5e2dbf153be62450494d52825496546eab2b27af0bd5d2465b5b", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract these fields from the Japanese salary withholding certificate. Return only a valid JSON object with this structure:\n\n{\n \"recipient_name\": null,\n \"recipient_furigana\": null,\n \"recipient_address\": null,\n \"recipient_position\": null,\n \"salary_payment_amount\": null,\n \"income_after_salary_deduction\": null,\n \"total_income_deductions\": null,\n \"withholding_tax\": null,\n \"payer_name\": null,\n \"payer_address\": null,\n \"payer_phone\": null\n}\n\nRecipient fields come from \u652f\u6255\u3092\u53d7\u3051\u308b\u8005; payer fields come from \u652f\u6255\u8005. Map amounts to \u652f\u6255\u91d1\u984d, \u7d66\u4e0e\u6240\u5f97\u63a7\u9664\u5f8c\u306e\u91d1\u984d, \u6240\u5f97\u63a7\u9664\u306e\u984d\u306e\u5408\u8a08\u984d and \u6e90\u6cc9\u5fb4\u53ce\u7a0e\u984d respectively. Join digits across adjacent boxes; omit printed currency/unit headings, preserving visible numeric separators. Copy furigana exactly even if it differs from the name; do not repair inconsistent entries.\n\nIgnore typographic spacing inside Japanese names, words and digit strings; join wrapped Japanese text without adding spaces. Use ASCII digits; preserve actual punctuation. Preserve other text as written. Do not infer missing information or translate. Use strings for extracted values and null for missing or unreadable fields. Include every key. Do not include explanations or Markdown.", "match_method": "structured", "score": 0.9091, "status": "ok", "format_compliant": true, "matched_fields": 10, "reference_fields": 11, "predicted_fields": 11, "non_null_field_accuracy": 0.9, "object_exact_match": false, "attempts": 2, "retries": 1, "total_seconds": 108.3184, "transient_errors": ["RemoteProtocolError"]}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 498, "image": "image_54d1c46c1887b049fb5adce0_jpg.rf.ee4f31512b4d2b728befd9d6c5223a69.jpg", "expected": "N C", "predicted": "N C", "correct": true, "input_tokens": 1154, "output_tokens": 1635, "elapsed_seconds": 27.126951416954398, "metadata": {"question": "{\"question\": \"Read the letters and numbers imprinted on the pill in this image. Return only the text, preserving capitalization and separating lines with a single space. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "3e86afe22ec17e1f69ac1ad839be76f5572465504579a730e827fd39f521f33a", "category": "single_string", "subset": "5c725e357739b9ce", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "77cd815534dcd7a927d83999e104d1a813f889c86a187334b3b19628a17e45f3", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the letters and numbers imprinted on the pill in this image. Return only the text, preserving capitalization and separating lines with a single space. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 27.144}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 499, "image": "image_8417c41a8ea005d82e536efd_jpg.rf.8d859cc657e4d0ccf1037f7dcf966d8f.jpg", "expected": "{\"carrier\":\"FedEx\",\"tracking_number\":\"788500420243\",\"sender_name\":\"Shipping Department Wayfair Inc. (Drop Ship)\",\"sender_address\":\"7 Sunset Way Suites 150 Henderson NV 89014 US\",\"recipient_name\":\"Mary Sawyer\",\"recipient_address\":\"22715 County Road 121 Bullard TX 75757 (US)\",\"shipping_service\":\"Home Delivery\",\"weight\":\"49.80 LB\"}", "predicted": "{\n \"carrier\": \"FedEx\",\n \"tracking_number\": \"788500420243\",\n \"sender_name\": \"Shipping Department Wayfair Inc. (Drop Ship)\",\n \"sender_address\": \"7 Sunset Way Suites 150 Henderson NV 89014 US\",\n \"recipient_name\": \"Mary Sawyer\",\n \"recipient_address\": \"22715 County Road 121 Bullard TX 75757 (US)\",\n \"shipping_service\": \"Home Delivery\",\n \"weight\": \"49.80 LB\"\n}", "correct": true, "input_tokens": 1366, "output_tokens": 1653, "elapsed_seconds": 18.618348792078905, "metadata": {"question": "{\"question\": \"Extract the information printed on this shipping label. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"carrier\\\": null,\\n \\\"tracking_number\\\": null,\\n \\\"sender_name\\\": null,\\n \\\"sender_address\\\": null,\\n \\\"recipient_name\\\": null,\\n \\\"recipient_address\\\": null,\\n \\\"shipping_service\\\": null,\\n \\\"weight\\\": null\\n}\\n\\nIgnore accompanying paperwork. Keep company and department lines in names, not addresses; exclude phone numbers. Return tracking_number without spaces (e.g., \u201c7885 0040 8757\u201d \u2192 \u201c788500408757\u201d). Omit the carrier from shipping_service (e.g., \u201cFedEx Home Delivery\u201d \u2192 \u201cHome Delivery\u201d). Retain weight units and printed country information in addresses.\\n\\nPreserve all other text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "36855ab92bcd8d95e141073310c2cc68736a4082e2f4630068ee9e829ac377df", "category": "structured", "subset": "ccd97de2b96725a9", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "60af5f9bb4c6612a26a70578149d74e6c9bab16487e4680d5878b7c5208f4855", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on this shipping label. Return only a valid JSON object with these fields:\n\n{\n \"carrier\": null,\n \"tracking_number\": null,\n \"sender_name\": null,\n \"sender_address\": null,\n \"recipient_name\": null,\n \"recipient_address\": null,\n \"shipping_service\": null,\n \"weight\": null\n}\n\nIgnore accompanying paperwork. Keep company and department lines in names, not addresses; exclude phone numbers. Return tracking_number without spaces (e.g., \u201c7885 0040 8757\u201d \u2192 \u201c788500408757\u201d). Omit the carrier from shipping_service (e.g., \u201cFedEx Home Delivery\u201d \u2192 \u201cHome Delivery\u201d). Retain weight units and printed country information in addresses.\n\nPreserve all other text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 8, "reference_fields": 8, "predicted_fields": 8, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 18.6443}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 500, "image": "image_a8dec3a56e43be12c063e27b_jpg.rf.554b8b6682c11787978fa7a8d6f24f4e.jpg", "expected": "SU-BMQ", "predicted": "SU-BMQ", "correct": true, "input_tokens": 1160, "output_tokens": 2150, "elapsed_seconds": 32.213704250054434, "metadata": {"question": "{\"question\": \"Read the aircraft registration number visible in this image. Return only the registration, preserving letters, digits, and hyphens. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "97c4614ad2497e14b4fd7cfa26f5c542f217575d1f74d6d369531af5a1637e73", "category": "single_string", "subset": "933cf5fad9e7f564", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "d849963c2a69efb0c9424ec94ac17d0ec12933477be21e7dc02b43585f3ec36b", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the aircraft registration number visible in this image. Return only the registration, preserving letters, digits, and hyphens. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 32.2312}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 501, "image": "image_588d2811d5f128c38fee0cf2_jpg.rf.042216b433bfe587d6866fc4438dd449.jpg", "expected": "2022.12.15", "predicted": "2022.12.15", "correct": true, "input_tokens": 1140, "output_tokens": 658, "elapsed_seconds": 13.294594792067073, "metadata": {"question": "{\"question\": \"Read the expiration date printed on the product in this image. Return only the date exactly as printed, preserving separators and written month names. Exclude prefixes such as \u201cEXP\u201d or \u201cBest Before\u201d. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "5682c9bd49fc77a51299f39a21fa641c20dbce6c2c9b5367835d29bcac9811f0", "category": "single_string", "subset": "6a08778bfde26392", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "3534ca92d6b1b6870f8df5ec5bc16d0f7cf9fa6a7820999a7a6a7c951c914168", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the expiration date printed on the product in this image. Return only the date exactly as printed, preserving separators and written month names. Exclude prefixes such as \u201cEXP\u201d or \u201cBest Before\u201d. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 13.373}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 502, "image": "image_8677d1b093e9f1691a1aa361_jpg.rf.7ff42690d468b3dffb2a45fe341ab5c6.jpg", "expected": "{\"player_name\":\"FAEDO/HRBEK/LAUDNER\",\"card_number\":\"766\",\"year\":\"1982\",\"set_name\":\"TOPPS\",\"variety\":\"TWINS FUTURE STARS\",\"grade\":\"7\",\"grade_description\":\"NM\",\"qualifier\":null,\"certification_number\":\"48267036\"}", "predicted": "{\n \"player_name\": \"FAEDO/HRBEK/LAUDNER\",\n \"card_number\": \"766\",\n \"year\": \"1982\",\n \"set_name\": \"TOPPS\",\n \"variety\": \"TWINS FUTURE STARS\",\n \"grade\": \"7\",\n \"grade_description\": \"NM\",\n \"qualifier\": null,\n \"certification_number\": \"48267036\"\n}", "correct": true, "input_tokens": 1419, "output_tokens": 882, "elapsed_seconds": 11.265385499922559, "metadata": {"question": "{\"question\": \"Extract the information printed on this PSA-graded sports card and its holder. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"player_name\\\": null,\\n \\\"card_number\\\": null,\\n \\\"year\\\": null,\\n \\\"set_name\\\": null,\\n \\\"variety\\\": null,\\n \\\"grade\\\": null,\\n \\\"grade_description\\\": null,\\n \\\"qualifier\\\": null,\\n \\\"certification_number\\\": null\\n}\\n\\nPrefer the holder label; use the card only for missing player names and card numbers. Use its set heading without the year or card number as set_name; put separate team, subset and variation text in variety, excluding authentication notices. Keep only player names in player_name. Preserve printed years or seasons.\\n\\nReturn the numeric grade, including decimals (e.g., \u201cEX-MT+ 6.5\u201d \u2192 \u201c6.5\u201d), its wording in grade_description, and condition qualifiers in qualifier (e.g., \u201c8 (OC)\u201d \u2192 \u201cOC\u201d). Omit #, spaces and set totals from card_number. Use the PSA certificate ID for certification_number.\\n\\nNormalize dashes to - without surrounding spaces and remove spaces before + (e.g., \u201cNM \u2013 MT +\u201d \u2192 \u201cNM-MT+\u201d). Preserve all other text and capitalization as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nInclude every key. Use strings for extracted values and null for missing fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "2bb70edcc5e18ea92ec95e55cb27ef09a76efcb75a829d90df33ff7e5e5d7f99", "category": "structured", "subset": "ae86443b5fadcab9", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "91be0fc88d2281c3da36663b1caf1c61d11599f8e74553de87ac3d2982323200", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on this PSA-graded sports card and its holder. Return only a valid JSON object with these fields:\n\n{\n \"player_name\": null,\n \"card_number\": null,\n \"year\": null,\n \"set_name\": null,\n \"variety\": null,\n \"grade\": null,\n \"grade_description\": null,\n \"qualifier\": null,\n \"certification_number\": null\n}\n\nPrefer the holder label; use the card only for missing player names and card numbers. Use its set heading without the year or card number as set_name; put separate team, subset and variation text in variety, excluding authentication notices. Keep only player names in player_name. Preserve printed years or seasons.\n\nReturn the numeric grade, including decimals (e.g., \u201cEX-MT+ 6.5\u201d \u2192 \u201c6.5\u201d), its wording in grade_description, and condition qualifiers in qualifier (e.g., \u201c8 (OC)\u201d \u2192 \u201cOC\u201d). Omit #, spaces and set totals from card_number. Use the PSA certificate ID for certification_number.\n\nNormalize dashes to - without surrounding spaces and remove spaces before + (e.g., \u201cNM \u2013 MT +\u201d \u2192 \u201cNM-MT+\u201d). Preserve all other text and capitalization as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nInclude every key. Use strings for extracted values and null for missing fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 9, "reference_fields": 9, "predicted_fields": 9, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 11.3537}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 503, "image": "image_9607f3159de2433c32aa7290_jpg.rf.b31acd44f5cba0fe9df5e0a24dbb77b1.jpg", "expected": "OO-GFD", "predicted": "OO-GFD", "correct": true, "input_tokens": 1140, "output_tokens": 208, "elapsed_seconds": 5.203670834074728, "metadata": {"question": "{\"question\": \"Read the aircraft registration number visible in this image. Return only the registration, preserving letters, digits, and hyphens. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "d0023cba4f219775220dcbb8def753d72c71fc3d03b00facbcb58e81d5041a66", "category": "single_string", "subset": "933cf5fad9e7f564", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "f8e5198e885e623e7055ab4f62382b073a5b0e3b116f2bf853cad461817ddd72", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the aircraft registration number visible in this image. Return only the registration, preserving letters, digits, and hyphens. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 5.2224}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 504, "image": "image_8999afa740fef6173f1cbe3f_jpg.rf.f050db4eac9a447e5d016ed486877579.jpg", "expected": "245/70R19.5", "predicted": "245/70R19.5", "correct": true, "input_tokens": 1250, "output_tokens": 1946, "elapsed_seconds": 30.834374083089642, "metadata": {"question": "{\"question\": \"Read the tire size molded into the visible sidewall, such as 315/80R22.5 or 12R22.5. Return only the size text, removing spaces and preserving letters, digits, slashes and decimal points. Exclude the adjacent load index, speed rating, brand, model, DOT code and pressure or load measurements. If multiple size markings are visible, choose the one with the largest text; break ties left-to-right. Return null if the complete size is absent, cropped or unreadable. Do not include explanations or Markdown.\", \"task\": \"single_string\"}", "sample_id": "20e74fef32f0817db7f28375b354c4cd566da678bde1989947781b8b809b4b37", "category": "single_string", "subset": "aad8c1d2eecc1e5d", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "60028d225c4b98d3ce5638651f5b7d03795a5391482289130b7b1bcaae0a89ea", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the tire size molded into the visible sidewall, such as 315/80R22.5 or 12R22.5. Return only the size text, removing spaces and preserving letters, digits, slashes and decimal points. Exclude the adjacent load index, speed rating, brand, model, DOT code and pressure or load measurements. If multiple size markings are visible, choose the one with the largest text; break ties left-to-right. Return null if the complete size is absent, cropped or unreadable. Do not include explanations or Markdown.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 31.1399}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 505, "image": "image_0c7c8ef74d1a88203c306d47_jpg.rf.75df00ae3cabddca593bad499575aed6.jpg", "expected": "1:34", "predicted": "1:34", "correct": true, "input_tokens": 1198, "output_tokens": 1022, "elapsed_seconds": 16.667497624992393, "metadata": {"question": "{\"question\": \"Read the illuminated value in the largest numeric readout on this treadmill display. If equally large readouts are present, choose the topmost, then leftmost. Preserve leading zeros and visible decimal points or colons between digits. Ignore unlit segments, isolated indicator lights and smaller secondary readouts. Do not infer units or reformat the value as time. Return only the displayed value, or null if incomplete or unreadable. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "94a1907e6b2967d35eb187735555956782af4482f3295fa05c66d533c4e787b7", "category": "single_string", "subset": "6320a2ab21674c00", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "4cf0c63b050b5e26cf8bee2252e87a314baa1d550c9623b851e392bf1ae31eb3", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the illuminated value in the largest numeric readout on this treadmill display. If equally large readouts are present, choose the topmost, then leftmost. Preserve leading zeros and visible decimal points or colons between digits. Ignore unlit segments, isolated indicator lights and smaller secondary readouts. Do not infer units or reformat the value as time. Return only the displayed value, or null if incomplete or unreadable. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 16.7225}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 506, "image": "image_14de54c1ae1f58425d9820cc_jpg.rf.fec371795b3e2f5b97630cf1da826469.jpg", "expected": "3:04", "predicted": "3:04", "correct": true, "input_tokens": 1220, "output_tokens": 1340, "elapsed_seconds": 17.78763687494211, "metadata": {"question": "{\"question\": \"Read the illuminated value in the largest numeric readout on this treadmill display. If equally large readouts are present, choose the topmost, then leftmost. Preserve leading zeros and visible decimal points or colons between digits. Ignore unlit segments, isolated indicator lights and smaller secondary readouts. Do not infer units or reformat the value as time. Return only the displayed value, or null if incomplete or unreadable. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "d69dc2f80da32e8894219aeeea2ad94087036cfbf8e66ba6ccb4e78828d2c262", "category": "single_string", "subset": "6320a2ab21674c00", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "e50dd52445f5121d7d0714e976e474405d6216d898e66e31ed53f087ef23c38d", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the illuminated value in the largest numeric readout on this treadmill display. If equally large readouts are present, choose the topmost, then leftmost. Preserve leading zeros and visible decimal points or colons between digits. Ignore unlit segments, isolated indicator lights and smaller secondary readouts. Do not infer units or reformat the value as time. Return only the displayed value, or null if incomplete or unreadable. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 17.8113}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 507, "image": "image_0d06a46e32d7dfea49da974a_jpg.rf.43e52286caf599a46e341fb23c718b72.jpg", "expected": "[{\"bbox\":[2432,707,2613,768],\"text\":\"14\u00b015' \u00b10\u00b030'\"},{\"bbox\":[2041,845,2098,873],\"text\":\"5.0\"},{\"bbox\":[1802,846,1902,876],\"text\":\"20.00\"},{\"bbox\":[2522,848,2554,974],\"text\":\"\u00d815.00\"},{\"bbox\":[1577,851,1627,1019],\"text\":\"\u00d811.4 +0.2 0\"},{\"bbox\":[1042,881,1138,977],\"text\":\"\u00d822.00\"},{\"bbox\":[1498,884,1548,1012],\"text\":\"\u00d814 0 -0.1\"},{\"bbox\":[2169,894,2261,923],\"text\":\"1X45\u00b0\"},{\"bbox\":[2599,1047,2630,1171],\"text\":\"\u00d819.00\"},{\"bbox\":[1605,1273,1694,1304],\"text\":\"1X45\u00b0\"},{\"bbox\":[1883,1320,1960,1352],\"text\":\"35.0\"},{\"bbox\":[907,1367,1000,1395],\"text\":\"19.00\"},{\"bbox\":[2020,1376,2122,1406],\"text\":\"59.50\"}]", "predicted": "[{\"box_2d\": [286, 692, 311, 745], \"text\": \"14\u00b015' \u00b10\u00b030'\"}, {\"box_2d\": [340, 512, 353, 542], \"text\": \"20.00\"}, {\"box_2d\": [340, 580, 353, 599], \"text\": \"5.0\"}, {\"box_2d\": [342, 449, 411, 464], \"text\": \"\u00d811.4 +0.2 0\"}, {\"box_2d\": [342, 718, 392, 728], \"text\": \"\u00d815.00\"}, {\"box_2d\": [354, 297, 395, 326], \"text\": \"\u00d822.00\"}, {\"box_2d\": [358, 427, 408, 442], \"text\": \"\u00d814 0 -0.1\"}, {\"box_2d\": [359, 618, 372, 643], \"text\": \"1X45\u00b0\"}, {\"box_2d\": [422, 741, 471, 750], \"text\": \"\u00d819.00\"}, {\"box_2d\": [513, 458, 526, 483], \"text\": \"1X45\u00b0\"}, {\"box_2d\": [532, 535, 544, 560], \"text\": \"35.0\"}, {\"box_2d\": [549, 257, 563, 286], \"text\": \"19.00\"}, {\"box_2d\": [554, 575, 566, 605], \"text\": \"59.50\"}]", "correct": true, "input_tokens": 1364, "output_tokens": 2174, "elapsed_seconds": 22.59530987497419, "metadata": {"question": "{\"question\": \"Locate and transcribe all dimension annotations in this technical drawing.\", \"specification\": \"Use one tight, axis-aligned bounding box per dimension annotation, enclosing its text rather than the dimension lines or arrows. Include rotated annotations. Keep tolerances and stacked values with their associated dimension.\\n\\n\\n\\nPreserve each dimension as printed, including decimal separators, units, symbols, and tolerances. Join line breaks within an annotation with spaces. Do not calculate dimensions from the drawing or infer missing characters. Exclude titles, notes, part numbers, and other text that is not a dimension annotation. If an annotation is visible but cannot be transcribed, use null for its text.\\n\\nReturn entries in top-to-bottom, then left-to-right order. If no dimension annotations are visible, return []. Do not include explanations or Markdown.\", \"task\": \"localization_recognition\"}", "sample_id": "f159f069ebf8628ad4c28f39726428f9cbc90ec2ca91cd0dd2a23a55536e82c5", "category": "localization_recognition", "subset": "066a130d25134fbf", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "ba948f4d0fc475eecb82b65a733bac44f8d61abcef5a0345a972a6c688194ddf", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe all dimension annotations in this technical drawing.\n\nUse one tight, axis-aligned bounding box per dimension annotation, enclosing its text rather than the dimension lines or arrows. Include rotated annotations. Keep tolerances and stacked values with their associated dimension.\n\n\n\nPreserve each dimension as printed, including decimal separators, units, symbols, and tolerances. Join line breaks within an annotation with spaces. Do not calculate dimensions from the drawing or infer missing characters. Exclude titles, notes, part numbers, and other text that is not a dimension annotation. If an annotation is visible but cannot be transcribed, use null for its text.\n\nReturn entries in top-to-bottom, then left-to-right order. If no dimension annotations are visible, return []. Do not include explanations or Markdown.\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 1.0, "status": "ok", "format_compliant": true, "detection_f1": 1.0, "matched_regions": 13, "reference_regions": 13, "predicted_regions": 13, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 22.671}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 508, "image": "image_5867946745ab8f261d6293c3_jpg.rf.f79b1670c92b21273cfb18ded3e1794c.jpg", "expected": "215/75R17.5", "predicted": "215/75R17.5", "correct": true, "input_tokens": 1214, "output_tokens": 520, "elapsed_seconds": 46.01442720799241, "metadata": {"question": "{\"question\": \"Read the tire size molded into the visible sidewall, such as 315/80R22.5 or 12R22.5. Return only the size text, removing spaces and preserving letters, digits, slashes and decimal points. Exclude the adjacent load index, speed rating, brand, model, DOT code and pressure or load measurements. If multiple size markings are visible, choose the one with the largest text; break ties left-to-right. Return null if the complete size is absent, cropped or unreadable. Do not include explanations or Markdown.\", \"task\": \"single_string\"}", "sample_id": "62a0dd3a998a7a8164af0e14e716ccb229c817f7aa04c423443e223a6d13a906", "category": "single_string", "subset": "aad8c1d2eecc1e5d", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "99f90e0aa16a0046c33bd405b907db5d6badb8dd969c385946184d89832ea4d1", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the tire size molded into the visible sidewall, such as 315/80R22.5 or 12R22.5. Return only the size text, removing spaces and preserving letters, digits, slashes and decimal points. Exclude the adjacent load index, speed rating, brand, model, DOT code and pressure or load measurements. If multiple size markings are visible, choose the one with the largest text; break ties left-to-right. Return null if the complete size is absent, cropped or unreadable. Do not include explanations or Markdown.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 46.0935}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 509, "image": "image_128ebb6a2a519ae7d4a2642e_jpg.rf.f02e6ad1a0cff2260d59bbb54a33ef08.jpg", "expected": "{\"route_number\":\"166\",\"bus_number\":\"7-3083\",\"destination_sign\":\"\u0e1b\u0e32\u0e01\u0e40\u0e01\u0e23\u0e47\u0e14 PAKKRET \u0e40\u0e21\u0e37\u0e2d\u0e07\u0e17\u0e2d\u0e07\u0e18\u0e32\u0e19\u0e35 MUANG THONG TANI\",\"license_plate\":\"12-2817\"}", "predicted": "{\n \"route_number\": \"166\",\n \"bus_number\": \"7-3083\",\n \"destination_sign\": \"\u0e1b\u0e32\u0e01\u0e40\u0e01\u0e23\u0e47\u0e14 PAKKRET \u0e40\u0e21\u0e37\u0e2d\u0e07\u0e17\u0e2d\u0e07\u0e18\u0e32\u0e19\u0e35 MUANG THONG TANI\",\n \"license_plate\": \"12-2817\"\n}", "correct": true, "input_tokens": 1209, "output_tokens": 1373, "elapsed_seconds": 24.485306249931455, "metadata": {"question": "{\"question\": \"Extract the information printed on the main bus in this image. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"route_number\\\": null,\\n \\\"bus_number\\\": null,\\n \\\"destination_sign\\\": null,\\n \\\"license_plate\\\": null\\n}\\n\\nPreserve the text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "321597c6725281c8b186fa3cf7f99bf567bdba0bfe744d8e9c1e61a5c07a1b5b", "category": "structured", "subset": "477b707cebbcd6df", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "62baac53a7a4d752e107f795160154871a2b12c115e02edd656c90c6628dcd57", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on the main bus in this image. Return only a valid JSON object with these fields:\n\n{\n \"route_number\": null,\n \"bus_number\": null,\n \"destination_sign\": null,\n \"license_plate\": null\n}\n\nPreserve the text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 4, "reference_fields": 4, "predicted_fields": 4, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 24.9822}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 510, "image": "image_84322554e15ff7e6e1cb11d4_jpg.rf.4702cf6b8268b8c3d2a1147ffc2355e1.jpg", "expected": "34770", "predicted": "34770", "correct": true, "input_tokens": 1146, "output_tokens": 259, "elapsed_seconds": 5.820299457991496, "metadata": {"question": "{\"question\": \"Read the electricity meter reading visible in this image. Return only the reading as a string of digits. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "5ed822b1facd522d7600dcc94e7518d70bd639707dc0e451f5e488803e041c8d", "category": "single_string", "subset": "3a0d0e0892a8fc95", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "40f7dd2e868db8c7f6bec1d4b9e6186097f559dd77dc17eabda4e596f0ad25a1", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the electricity meter reading visible in this image. Return only the reading as a string of digits. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 5.8847}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 511, "image": "image_03aaa81cc6edb3047c5e2fef_jpg.rf.226c1c552a1e2bfb2e2e863face8553a.jpg", "expected": "{\"heat_number\":\"A78468\",\"billet_id\":\"1051\"}", "predicted": "{\n \"heat_number\": \"A78468\",\n \"billet_id\": \"1051\"\n}", "correct": true, "input_tokens": 1241, "output_tokens": 290, "elapsed_seconds": 4.95793012494687, "metadata": {"question": "{\"question\": \"Extract the information printed on the end of this metal billet. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"heat_number\\\": null,\\n \\\"billet_id\\\": null\\n}\\n\\nUse the letter-prefixed code for heat_number and the separate shorter numeric code for billet_id. Preserve leading zeros and omit spaces within codes.\\n\\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "19c945d09685377c38dca978dc2588f4148b7324083fbba310fbbb003171064f", "category": "structured", "subset": "84ce444ef86dc04d", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "32ea4a78dc4866b0628bad80339ad30a5662040342c1b5255e13840d80e3f27c", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on the end of this metal billet. Return only a valid JSON object with these fields:\n\n{\n \"heat_number\": null,\n \"billet_id\": null\n}\n\nUse the letter-prefixed code for heat_number and the separate shorter numeric code for billet_id. Preserve leading zeros and omit spaces within codes.\n\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 2, "reference_fields": 2, "predicted_fields": 2, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 4.9675}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 512, "image": "image_9505ac32ac24e6bcad01a9a7_jpg.rf.dd1611740d19a6adfff01a0562287ad1.jpg", "expected": "XW8ZZZCKZNG006202", "predicted": "XW8ZZZCKZNG006202", "correct": true, "input_tokens": 1155, "output_tokens": 317, "elapsed_seconds": 5.723658874980174, "metadata": {"question": "{\"question\": \"Read the vehicle identification number (VIN) visible in this image. Return only the VIN as a string of uppercase letters and digits, without spaces. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "d07b5533315b122f05115a2b67a4f803f0b8fca40837fbba6673a96f8d3bfa01", "category": "single_string", "subset": "733007c96827bfe7", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "a52ac57fdac72379d07fecd708cb8eeee84eb91fbe3aa717ec6fc0bb4ada8554", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the vehicle identification number (VIN) visible in this image. Return only the VIN as a string of uppercase letters and digits, without spaces. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 5.7305}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 513, "image": "image_0f6a2afc048262b82b5eacc4_jpg.rf.7344225d2dc0410f4ace9f61fc654830.jpg", "expected": "[{\"bbox\":[321,13,370,31],\"text\":\"THE\"},{\"bbox\":[276,14,308,32],\"text\":\"TO\"},{\"bbox\":[381,16,441,37],\"text\":\"CITY\"},{\"bbox\":[139,19,266,60],\"text\":\"WELCOME\"},{\"bbox\":[453,29,488,51],\"text\":\"OF\"},{\"bbox\":[131,62,490,147],\"text\":\"GLYNDON\"}]", "predicted": "[{\"box_2d\": [49, 217, 170, 412], \"text\": \"WELCOME\"}, {\"box_2d\": [37, 434, 86, 483], \"text\": \"TO\"}, {\"box_2d\": [36, 502, 83, 577], \"text\": \"THE\"}, {\"box_2d\": [43, 598, 108, 691], \"text\": \"CITY\"}, {\"box_2d\": [79, 710, 134, 758], \"text\": \"OF\"}, {\"box_2d\": [176, 204, 405, 764], \"text\": \"GLYNDON\"}]", "correct": true, "input_tokens": 1332, "output_tokens": 1135, "elapsed_seconds": 28.37706341710873, "metadata": {"question": "{\"question\": \"Locate and transcribe all text on the signs in this image.\", \"specification\": \"Use one box per word or standalone number, including curved words in a single box. Exclude text outside the signs and purely graphical symbols. Return plain text, not LaTeX.\\n\\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\", \"task\": \"localization_recognition\"}", "sample_id": "0851d89708a4c11b103be21844b533cdf25f12aa94b4bef31d097e88e0f66991", "category": "localization_recognition", "subset": "21363697af554f8e", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "4030ca5436edb5dfe118927ac688d6bc65dc028c36ddaf96f89e656da0533e22", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe all text on the signs in this image.\n\nUse one box per word or standalone number, including curved words in a single box. Exclude text outside the signs and purely graphical symbols. Return plain text, not LaTeX.\n\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 1.0, "status": "ok", "format_compliant": true, "detection_f1": 1.0, "matched_regions": 6, "reference_regions": 6, "predicted_regions": 6, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 28.3954}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 514, "image": "image_fb5044701081f6c61fe62879_jpg.rf.de5357fa5ea730386c1e785d19938f56.jpg", "expected": "{\"serving_size\":\"1 1/4 Cup (58g)\",\"servings_per_container\":\"About 6\",\"calories\":\"180\",\"total_fat\":{\"amount\":\"2g\",\"daily_value\":\"3%\"},\"saturated_fat\":{\"amount\":\"0g\",\"daily_value\":\"0%\"},\"trans_fat\":{\"amount\":\"0g\",\"daily_value\":null},\"cholesterol\":{\"amount\":\"0mg\",\"daily_value\":\"0%\"},\"sodium\":{\"amount\":\"115mg\",\"daily_value\":\"5%\"},\"total_carbohydrate\":{\"amount\":\"40g\",\"daily_value\":\"13%\"},\"dietary_fiber\":{\"amount\":\"13g\",\"daily_value\":\"52%\"},\"total_sugars\":{\"amount\":\"8g\",\"daily_value\":null},\"protein\":{\"amount\":\"12g\",\"daily_value\":\"17%\"},\"vitamin_a\":{\"amount\":null,\"daily_value\":\"0%\"},\"vitamin_c\":{\"amount\":null,\"daily_value\":\"0%\"},\"calcium\":{\"amount\":null,\"daily_value\":\"4%\"},\"iron\":{\"amount\":null,\"daily_value\":\"10%\"},\"potassium\":{\"amount\":\"390mg\",\"daily_value\":\"11%\"}}", "predicted": "{\n \"serving_size\": \"1 1/4 Cup (58g)\",\n \"servings_per_container\": \"About 6\",\n \"calories\": \"180\",\n \"total_fat\": {\"amount\": \"2g\", \"daily_value\": \"3%\"},\n \"saturated_fat\": {\"amount\": \"0g\", \"daily_value\": \"0%\"},\n \"trans_fat\": {\"amount\": \"0g\", \"daily_value\": null},\n \"cholesterol\": {\"amount\": \"0mg\", \"daily_value\": \"0%\"},\n \"sodium\": {\"amount\": \"115mg\", \"daily_value\": \"5%\"},\n \"total_carbohydrate\": {\"amount\": \"40g\", \"daily_value\": \"13%\"},\n \"dietary_fiber\": {\"amount\": \"13g\", \"daily_value\": \"52%\"},\n \"total_sugars\": {\"amount\": \"8g\", \"daily_value\": null},\n \"protein\": {\"amount\": \"12g\", \"daily_value\": \"17%\"},\n \"vitamin_a\": {\"amount\": null, \"daily_value\": \"0%\"},\n \"vitamin_c\": {\"amount\": null, \"daily_value\": \"0%\"},\n \"calcium\": {\"amount\": null, \"daily_value\": \"4%\"},\n \"iron\": {\"amount\": null, \"daily_value\": \"10%\"},\n \"potassium\": {\"amount\": \"390mg\", \"daily_value\": \"11%\"}\n}", "correct": true, "input_tokens": 1637, "output_tokens": 1649, "elapsed_seconds": 16.74849291704595, "metadata": {"question": "{\"question\": \"Extract the information printed in the main Nutrition Facts panel in this image. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"serving_size\\\": null,\\n \\\"servings_per_container\\\": null,\\n \\\"calories\\\": null,\\n \\\"total_fat\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"saturated_fat\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"trans_fat\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"cholesterol\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"sodium\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"total_carbohydrate\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"dietary_fiber\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"total_sugars\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"protein\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"vitamin_a\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"vitamin_c\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"calcium\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"iron\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"potassium\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null}\\n}\\n\\nUse per-serving values as packaged, not prepared or per-container values. Use Calories, not Calories from Fat. Map \u201cSugars\u201d to total_sugars.\\n\\nKeep nutrient amounts and daily-value percentages separate (e.g., \u201cCalcium 260 mg 20%\u201d \u2192 {\\\"amount\\\": \\\"260mg\\\", \\\"daily_value\\\": \\\"20%\\\"}). Preserve printed units and qualifiers; do not calculate or convert values.\\n\\nFormat serving_size as household measure followed by metric quantity in parentheses (e.g., \u201c2 pieces 30 g\u201d \u2192 \u201c2 pieces (30g)\u201d). If only one measure is printed, return it alone. Preserve additional serving-size details.\\n\\nRemove spaces between numbers and units or % signs. Preserve all other text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nInclude every key. Use strings for extracted values and null for missing or unreadable values, including individual amounts or percentages. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "6d48ccf2c9ce4b3e56c45f505ff98485898223fd8a00f229cda5017411d49a3e", "category": "structured", "subset": "3d0c26ee8395584a", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "90327eb802d6c77e576e6bdcff2afc688a5f05a6d7abc96b61c4b258071dae55", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed in the main Nutrition Facts panel in this image. Return only a valid JSON object with these fields:\n\n{\n \"serving_size\": null,\n \"servings_per_container\": null,\n \"calories\": null,\n \"total_fat\": {\"amount\": null, \"daily_value\": null},\n \"saturated_fat\": {\"amount\": null, \"daily_value\": null},\n \"trans_fat\": {\"amount\": null, \"daily_value\": null},\n \"cholesterol\": {\"amount\": null, \"daily_value\": null},\n \"sodium\": {\"amount\": null, \"daily_value\": null},\n \"total_carbohydrate\": {\"amount\": null, \"daily_value\": null},\n \"dietary_fiber\": {\"amount\": null, \"daily_value\": null},\n \"total_sugars\": {\"amount\": null, \"daily_value\": null},\n \"protein\": {\"amount\": null, \"daily_value\": null},\n \"vitamin_a\": {\"amount\": null, \"daily_value\": null},\n \"vitamin_c\": {\"amount\": null, \"daily_value\": null},\n \"calcium\": {\"amount\": null, \"daily_value\": null},\n \"iron\": {\"amount\": null, \"daily_value\": null},\n \"potassium\": {\"amount\": null, \"daily_value\": null}\n}\n\nUse per-serving values as packaged, not prepared or per-container values. Use Calories, not Calories from Fat. Map \u201cSugars\u201d to total_sugars.\n\nKeep nutrient amounts and daily-value percentages separate (e.g., \u201cCalcium 260 mg 20%\u201d \u2192 {\"amount\": \"260mg\", \"daily_value\": \"20%\"}). Preserve printed units and qualifiers; do not calculate or convert values.\n\nFormat serving_size as household measure followed by metric quantity in parentheses (e.g., \u201c2 pieces 30 g\u201d \u2192 \u201c2 pieces (30g)\u201d). If only one measure is printed, return it alone. Preserve additional serving-size details.\n\nRemove spaces between numbers and units or % signs. Preserve all other text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nInclude every key. Use strings for extracted values and null for missing or unreadable values, including individual amounts or percentages. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 31, "reference_fields": 31, "predicted_fields": 31, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 16.7739}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 515, "image": "image_dc70ca3886b0a13bd3a29a82_jpg.rf.a711d1f0783d81d33b72c03a60e802e7.jpg", "expected": "{\"route_number\":\"18\",\"bus_number\":\"2-3(21)\",\"destination_sign\":\"\u0e15\u0e25\u0e32\u0e14\u0e17\u0e48\u0e32\u0e2d\u0e34\u0e10 THAIT MARKET\",\"license_plate\":\"16-8069\"}", "predicted": "{\n \"route_number\": \"18\",\n \"bus_number\": \"2-3(21)\",\n \"destination_sign\": \"\u0e15\u0e25\u0e32\u0e14\u0e17\u0e48\u0e32\u0e2d\u0e34\u0e10 THAIT MARKET\",\n \"license_plate\": \"16-8069\"\n}", "correct": true, "input_tokens": 1209, "output_tokens": 883, "elapsed_seconds": 18.023679332924075, "metadata": {"question": "{\"question\": \"Extract the information printed on the main bus in this image. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"route_number\\\": null,\\n \\\"bus_number\\\": null,\\n \\\"destination_sign\\\": null,\\n \\\"license_plate\\\": null\\n}\\n\\nPreserve the text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "2dc9db55de53f8b4f1c4a51cac98dceec0bbf8a178513bf4ab74619c6da39d99", "category": "structured", "subset": "477b707cebbcd6df", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "17ff14851f031d9815944ede0f9906fb0cbb0c21c0c05857ceb4f991b754449a", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on the main bus in this image. Return only a valid JSON object with these fields:\n\n{\n \"route_number\": null,\n \"bus_number\": null,\n \"destination_sign\": null,\n \"license_plate\": null\n}\n\nPreserve the text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 4, "reference_fields": 4, "predicted_fields": 4, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 18.5396}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 516, "image": "image_b4b6c97db27c56e3f9366cf3_jpg.rf.85f5991550d5aaff403bef97e5319b08.jpg", "expected": "261", "predicted": "261", "correct": true, "input_tokens": 1152, "output_tokens": 320, "elapsed_seconds": 6.4175262079807, "metadata": {"question": "{\"question\": \"Read the house number on the address plate in this image. Return only the number, including any letters, hyphens, or slashes. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "3f44c099f2e769bedadb903bccefb5b73e37bbc7ad1405a99cbc46553e76520d", "category": "single_string", "subset": "4788f963011764ba", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "f0a44ef1a766fbb903c925f88691442661c12c05e27676f443a92b79f7819f72", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the house number on the address plate in this image. Return only the number, including any letters, hyphens, or slashes. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 6.4574}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 517, "image": "image_bc0af28fd06debf70160f171_jpg.rf.71341ca059c10c0698ce15f35b260ed0.jpg", "expected": "{\"heat_number\":\"A78386\",\"billet_id\":\"2031\"}", "predicted": "{\n \"heat_number\": \"A78386\",\n \"billet_id\": \"2031\"\n}", "correct": true, "input_tokens": 1225, "output_tokens": 270, "elapsed_seconds": 5.019400959019549, "metadata": {"question": "{\"question\": \"Extract the information printed on the end of this metal billet. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"heat_number\\\": null,\\n \\\"billet_id\\\": null\\n}\\n\\nUse the letter-prefixed code for heat_number and the separate shorter numeric code for billet_id. Preserve leading zeros and omit spaces within codes.\\n\\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "9af9e83321be337e21db544d744978f63dbdc1c330af953e3aca8326459fcc15", "category": "structured", "subset": "84ce444ef86dc04d", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "ddbc4b83f10bba605bdd678d9c11cb2604a6d94717c6a9c90cfd04a16f8d643b", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on the end of this metal billet. Return only a valid JSON object with these fields:\n\n{\n \"heat_number\": null,\n \"billet_id\": null\n}\n\nUse the letter-prefixed code for heat_number and the separate shorter numeric code for billet_id. Preserve leading zeros and omit spaces within codes.\n\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 2, "reference_fields": 2, "predicted_fields": 2, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 5.028}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 518, "image": "image_7083f2c160fa672b32558f9f_jpg.rf.aacb9ca3c9ccf18836ef245fbd1e521e.jpg", "expected": "{\"departure_station\":\"HACHIOJI\",\"arrival_station\":\"SHINJUKU\",\"travel_date\":\"OCT.15\",\"departure_time\":\"09:49\",\"arrival_time\":\"10:26\",\"train\":\"KAIJI 10\",\"carriage\":\"4\",\"seat\":\"12-A\"}", "predicted": "{\n \"departure_station\": \"HACHIOJI\",\n \"arrival_station\": \"SHINJUKU\",\n \"travel_date\": \"OCT.15\",\n \"departure_time\": \"9:49\",\n \"arrival_time\": \"10:26\",\n \"train\": \"KAIJI 10\",\n \"carriage\": \"4\",\n \"seat\": \"12-A\"\n}", "correct": false, "input_tokens": 1357, "output_tokens": 767, "elapsed_seconds": 10.06366845802404, "metadata": {"question": "{\"question\": \"Extract journey information from this railway ticket. Return only a valid JSON object with this structure:\\n\\n{\\n \\\"departure_station\\\": null,\\n \\\"arrival_station\\\": null,\\n \\\"travel_date\\\": null,\\n \\\"departure_time\\\": null,\\n \\\"arrival_time\\\": null,\\n \\\"train\\\": null,\\n \\\"carriage\\\": null,\\n \\\"seat\\\": null\\n}\\n\\nUse printed Latin-script station and train names where available. Copy the travel date, not the issue date; do not add an unprinted year. Write the abbreviated month and day without spaces (e.g., OCT.18), and use \u00b7 for a middle dot. Return times as HH:MM, without surrounding parentheses or field labels. Include the train name and number, separated by one space (e.g., HIKARI 635). Preserve seat separators (e.g., 3-A).\\n\\nPreserve text as printed or handwritten, joining line breaks within a field with spaces. Do not infer missing information or translate. Include every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "ce37d2cc967346dd472bb55e05ad40c9a6a98ccc5b0f5cc5b6fde11e18fbaac2", "category": "structured", "subset": "69f8a78c51c95b60", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "b72f7dc593972765ff9038840ccdb435b7850ddbb938a7c33a4dfa631a3b7648", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract journey information from this railway ticket. Return only a valid JSON object with this structure:\n\n{\n \"departure_station\": null,\n \"arrival_station\": null,\n \"travel_date\": null,\n \"departure_time\": null,\n \"arrival_time\": null,\n \"train\": null,\n \"carriage\": null,\n \"seat\": null\n}\n\nUse printed Latin-script station and train names where available. Copy the travel date, not the issue date; do not add an unprinted year. Write the abbreviated month and day without spaces (e.g., OCT.18), and use \u00b7 for a middle dot. Return times as HH:MM, without surrounding parentheses or field labels. Include the train name and number, separated by one space (e.g., HIKARI 635). Preserve seat separators (e.g., 3-A).\n\nPreserve text as printed or handwritten, joining line breaks within a field with spaces. Do not infer missing information or translate. Include every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 0.875, "status": "ok", "format_compliant": true, "matched_fields": 7, "reference_fields": 8, "predicted_fields": 8, "non_null_field_accuracy": 0.875, "object_exact_match": false, "attempts": 1, "retries": 0, "total_seconds": 10.1026}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 519, "image": "image_fc778f72e3169d090f8edcb7_jpg.rf.3f023fd43a355ed80d326abf00aa5c1d.jpg", "expected": "55", "predicted": "25", "correct": false, "input_tokens": 1146, "output_tokens": 3423, "elapsed_seconds": 51.08094304194674, "metadata": {"question": "{\"question\": \"Read the basketball jersey number visible in this image. Return only the number as a string of digits. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "59fb33a55e6a5d7eb24ad5b0c7a1478ab62969d617511b62db3923250aa25991", "category": "single_string", "subset": "c88e91da6c946745", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "874ba5764be63c51cb0b50f5c47cd9abd52d9f85b5d5e24305acd488406b4cb7", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the basketball jersey number visible in this image. Return only the number as a string of digits. Do not explain.", "match_method": "single_string", "score": 0.0, "status": "ok", "format_compliant": true, "attempts": 3, "retries": 2, "total_seconds": 177.9949, "transient_errors": ["RemoteProtocolError", "RemoteProtocolError"]}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 520, "image": "image_840560da1c0daf9fb1904771_jpg.rf.6d225e11e160552b8e79d1d71e6d2d42.jpg", "expected": "01053765", "predicted": "01053765", "correct": true, "input_tokens": 1125, "output_tokens": 665, "elapsed_seconds": 17.87945683300495, "metadata": {"question": "{\"question\": \"Read the serial number printed on the e-pass tag. Return only the serial number, preserving letters and leading zeros. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "2d42edf8d1f36250b8de36d8b7a9073c95e8bc9c5aaa0c379f863799436db785", "category": "single_string", "subset": "d8762ffc9a8e6ed6", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "39814b5cd33c4cc35f802449ce50da4beb5e2c49adc51bec0c27c092ec6f7e6a", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the serial number printed on the e-pass tag. Return only the serial number, preserving letters and leading zeros. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 18.4085}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 521, "image": "image_8dcbfedf3ffd2f7e0a638f75_jpg.rf.8d87d5361d2c42f44b3594fa09901925.jpg", "expected": "97.1", "predicted": "97.1", "correct": true, "input_tokens": 1131, "output_tokens": 363, "elapsed_seconds": 10.764701041043736, "metadata": {"question": "{\"question\": \"Read the main temperature value shown on the thermometer display. Return only the numeric reading, preserving the decimal point and trailing zeros. Exclude units and icons. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "133b2a235a15b59ce8ddcc042f29719ad2a42a194fe686c28b5441f57813e0b0", "category": "single_string", "subset": "86f51b3c3dae6d11", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "4549310ea00b0f6f93b192836ba8d3e57dd7795f99cce74a091ae1c63f87175d", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the main temperature value shown on the thermometer display. Return only the numeric reading, preserving the decimal point and trailing zeros. Exclude units and icons. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 11.1207}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 522, "image": "image_8849fdffc4cbecd08d57a562_jpg.rf.5103dd9be456c3dae79affa51939ab6f.jpg", "expected": "{\"carrier\":\"FedEx\",\"tracking_number\":\"787476737919\",\"sender_name\":\"Shipping Department Target.com\",\"sender_address\":\"249 County Line Rd Amityville NY 11701 US\",\"recipient_name\":\"Ashley Graham\",\"recipient_address\":\"18500 Cove Creek Dr Moseley VA 23120 (US)\",\"shipping_service\":\"Home Delivery\",\"weight\":\"27.00 LB\"}", "predicted": "{\n \"carrier\": \"FedEx\",\n \"tracking_number\": \"787476737919\",\n \"sender_name\": \"Shipping Department Target.com\",\n \"sender_address\": \"249 County Line Rd Amityville NY 11701 US\",\n \"recipient_name\": \"Ashley Graham\",\n \"recipient_address\": \"18500 Cove Creek Dr Moseley VA 23120 (US)\",\n \"shipping_service\": \"Home Delivery\",\n \"weight\": \"27.00 LB\"\n}", "correct": true, "input_tokens": 1366, "output_tokens": 1032, "elapsed_seconds": 13.302581875002943, "metadata": {"question": "{\"question\": \"Extract the information printed on this shipping label. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"carrier\\\": null,\\n \\\"tracking_number\\\": null,\\n \\\"sender_name\\\": null,\\n \\\"sender_address\\\": null,\\n \\\"recipient_name\\\": null,\\n \\\"recipient_address\\\": null,\\n \\\"shipping_service\\\": null,\\n \\\"weight\\\": null\\n}\\n\\nIgnore accompanying paperwork. Keep company and department lines in names, not addresses; exclude phone numbers. Return tracking_number without spaces (e.g., \u201c7885 0040 8757\u201d \u2192 \u201c788500408757\u201d). Omit the carrier from shipping_service (e.g., \u201cFedEx Home Delivery\u201d \u2192 \u201cHome Delivery\u201d). Retain weight units and printed country information in addresses.\\n\\nPreserve all other text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "54666f99b2274d9251520f15442c79c3b0ed891375092d66a63f234f20d1f4e7", "category": "structured", "subset": "ccd97de2b96725a9", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "0e86eea3880eed4221d763a10a042df3619c66c03a8cdae21881a3b3b3fb8ab6", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on this shipping label. Return only a valid JSON object with these fields:\n\n{\n \"carrier\": null,\n \"tracking_number\": null,\n \"sender_name\": null,\n \"sender_address\": null,\n \"recipient_name\": null,\n \"recipient_address\": null,\n \"shipping_service\": null,\n \"weight\": null\n}\n\nIgnore accompanying paperwork. Keep company and department lines in names, not addresses; exclude phone numbers. Return tracking_number without spaces (e.g., \u201c7885 0040 8757\u201d \u2192 \u201c788500408757\u201d). Omit the carrier from shipping_service (e.g., \u201cFedEx Home Delivery\u201d \u2192 \u201cHome Delivery\u201d). Retain weight units and printed country information in addresses.\n\nPreserve all other text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 8, "reference_fields": 8, "predicted_fields": 8, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 13.3312}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 523, "image": "image_bee1920312c914feccd4f64e_jpg.rf.cbc61b54078154c80f0db65c2eaa75ea.jpg", "expected": "[{\"bbox\":[77,25,269,76],\"text\":\"breaking dawn\"},{\"bbox\":[52,444,299,459],\"text\":\"STEPHENIE MEYER\"},{\"bbox\":[52,467,299,478],\"text\":\"AUTHOR OF THE #1 BESTSELLING TWILIGHT, NEW MOON, AND ECLIPSE\"}]", "predicted": "[{\"box_2d\": [49, 232, 151, 792], \"text\": \"breaking dawn\"}, {\"box_2d\": [891, 155, 914, 880], \"text\": \"STEPHENIE MEYER\"}, {\"box_2d\": [934, 156, 952, 879], \"text\": \"AUTHOR OF THE #1 BESTSELLING TWILIGHT, NEW MOON, AND ECLIPSE\"}]", "correct": true, "input_tokens": 1299, "output_tokens": 679, "elapsed_seconds": 9.957236957969144, "metadata": {"question": "{\"question\": \"Locate and transcribe all visible text on this book cover, including title, author, publisher and promotional text.\", \"specification\": \"Use one box per text line. Return plain text, not LaTeX.\\n\\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Do not include explanations or Markdown.\", \"task\": \"localization_recognition\"}", "sample_id": "86dd7c8cc7c34370d7de13cd3780e17286f0ac400af9d08f764435c9a615b3c7", "category": "localization_recognition", "subset": "658c0e5b4d5e48ce", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "8f324c05754be31a92b9405f085a2f100a37321544b4c523b68c8ec877634380", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe all visible text on this book cover, including title, author, publisher and promotional text.\n\nUse one box per text line. Return plain text, not LaTeX.\n\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Do not include explanations or Markdown.\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 1.0, "status": "ok", "format_compliant": true, "detection_f1": 1.0, "matched_regions": 3, "reference_regions": 3, "predicted_regions": 3, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 9.9664}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 524, "image": "image_da2caa60803f1fed27c57da5_jpg.rf.2a2cd5ac9378158a088bfc4b477037a6.jpg", "expected": "[{\"bbox\":[312,648,401,719],\"text\":\"T\"},{\"bbox\":[452,665,540,749],\"text\":\"O\"},{\"bbox\":[590,668,681,747],\"text\":\"Y\"},{\"bbox\":[839,707,927,780],\"text\":\"F\"},{\"bbox\":[285,794,378,869],\"text\":\"E\"},{\"bbox\":[693,828,789,910],\"text\":\"B\"},{\"bbox\":[843,853,941,932],\"text\":\"E\"},{\"bbox\":[982,882,1082,967],\"text\":\"N\"},{\"bbox\":[1128,898,1223,970],\"text\":\"T\"},{\"bbox\":[256,926,347,1007],\"text\":\"V\"},{\"bbox\":[1421,948,1523,1037],\"text\":\"H\"},{\"bbox\":[397,969,489,1052],\"text\":\"A\"},{\"bbox\":[531,976,628,1060],\"text\":\"N\"},{\"bbox\":[807,1019,896,1049],\"text\":\"I\"},{\"bbox\":[1099,1048,1198,1128],\"text\":\"E\"},{\"bbox\":[1392,1094,1491,1178],\"text\":\"U\"},{\"bbox\":[489,1124,579,1200],\"text\":\"U\"},{\"bbox\":[782,1141,877,1221],\"text\":\"H\"},{\"bbox\":[1066,1200,1153,1263],\"text\":\"J\"},{\"bbox\":[1207,1221,1304,1307],\"text\":\"A\"},{\"bbox\":[1350,1247,1447,1334],\"text\":\"D\"},{\"bbox\":[1514,1250,1614,1331],\"text\":\"E\"},{\"bbox\":[477,1275,563,1345],\"text\":\"F\"},{\"bbox\":[622,1285,714,1369],\"text\":\"A\"},{\"bbox\":[769,1290,862,1362],\"text\":\"T\"},{\"bbox\":[1476,1401,1569,1482],\"text\":\"D\"},{\"bbox\":[1315,1521,1419,1622],\"text\":\"M\"},{\"bbox\":[1470,1552,1567,1638],\"text\":\"A\"},{\"bbox\":[1614,1573,1715,1657],\"text\":\"N\"},{\"bbox\":[1763,1587,1860,1670],\"text\":\"Y\"},{\"bbox\":[1436,1713,1533,1773],\"text\":\"L\"},{\"bbox\":[1424,1842,1517,1928],\"text\":\"G\"},{\"bbox\":[1869,1858,1969,1974],\"text\":\"W\"},{\"bbox\":[1724,1868,1818,1954],\"text\":\"O\"},{\"bbox\":[1574,1869,1670,1929],\"text\":\"L\"},{\"bbox\":[1850,2033,1947,2107],\"text\":\"E\"},{\"bbox\":[1842,2183,1940,2265],\"text\":\"R\"},{\"bbox\":[1812,2326,1908,2414],\"text\":\"G\"},{\"bbox\":[1961,2354,2063,2437],\"text\":\"R\"},{\"bbox\":[2137,2375,2239,2463],\"text\":\"A\"},{\"bbox\":[2308,2394,2409,2475],\"text\":\"Z\"},{\"bbox\":[2472,2400,2574,2478],\"text\":\"E\"},{\"bbox\":[2465,2553,2567,2634],\"text\":\"S\"},{\"bbox\":[2288,2696,2384,2776],\"text\":\"P\"},{\"bbox\":[2451,2732,2549,2762],\"text\":\"I\"},{\"bbox\":[2422,2865,2527,2950],\"text\":\"R\"},{\"bbox\":[2581,2890,2683,2973],\"text\":\"U\"},{\"bbox\":[2743,2915,2845,3006],\"text\":\"G\"},{\"bbox\":[2712,3065,2813,3156],\"text\":\"O\"},{\"bbox\":[2683,3226,2781,3311],\"text\":\"F\"}]", "predicted": "[{\"box_2d\": [158, 102, 180, 134], \"text\": \"T\"}, {\"box_2d\": [164, 148, 186, 179], \"text\": \"O\"}, {\"box_2d\": [167, 195, 187, 227], \"text\": \"Y\"}, {\"box_2d\": [175, 280, 195, 312], \"text\": \"F\"}, {\"box_2d\": [195, 95, 216, 128], \"text\": \"E\"}, {\"box_2d\": [204, 229, 225, 261], \"text\": \"B\"}, {\"box_2d\": [212, 275, 232, 309], \"text\": \"E\"}, {\"box_2d\": [220, 323, 242, 357], \"text\": \"N\"}, {\"box_2d\": [223, 372, 245, 405], \"text\": \"T\"}, {\"box_2d\": [231, 86, 250, 118], \"text\": \"V\"}, {\"box_2d\": [235, 467, 257, 502], \"text\": \"H\"}, {\"box_2d\": [239, 130, 260, 162], \"text\": \"A\"}, {\"box_2d\": [243, 176, 264, 209], \"text\": \"N\"}, {\"box_2d\": [251, 267, 262, 299], \"text\": \"I\"}, {\"box_2d\": [261, 366, 280, 398], \"text\": \"E\"}, {\"box_2d\": [272, 456, 293, 491], \"text\": \"U\"}, {\"box_2d\": [278, 165, 299, 198], \"text\": \"U\"}, {\"box_2d\": [283, 257, 304, 290], \"text\": \"H\"}, {\"box_2d\": [299, 353, 315, 385], \"text\": \"J\"}, {\"box_2d\": [303, 400, 325, 431], \"text\": \"A\"}, {\"box_2d\": [308, 447, 330, 480], \"text\": \"D\"}, {\"box_2d\": [312, 496, 332, 531], \"text\": \"E\"}, {\"box_2d\": [315, 160, 335, 191], \"text\": \"F\"}, {\"box_2d\": [319, 205, 340, 238], \"text\": \"A\"}, {\"box_2d\": [321, 253, 343, 287], \"text\": \"T\"}, {\"box_2d\": [349, 489, 370, 523], \"text\": \"D\"}, {\"box_2d\": [378, 434, 403, 469], \"text\": \"M\"}, {\"box_2d\": [386, 482, 406, 516], \"text\": \"A\"}, {\"box_2d\": [390, 532, 412, 567], \"text\": \"N\"}, {\"box_2d\": [396, 581, 415, 616], \"text\": \"Y\"}, {\"box_2d\": [423, 475, 442, 508], \"text\": \"L\"}, {\"box_2d\": [457, 469, 479, 503], \"text\": \"G\"}, {\"box_2d\": [463, 518, 480, 552], \"text\": \"L\"}, {\"box_2d\": [464, 568, 485, 602], \"text\": \"O\"}, {\"box_2d\": [464, 616, 491, 653], \"text\": \"W\"}, {\"box_2d\": [505, 611, 524, 646], \"text\": \"E\"}, {\"box_2d\": [542, 608, 562, 642], \"text\": \"R\"}, {\"box_2d\": [577, 600, 599, 634], \"text\": \"G\"}, {\"box_2d\": [584, 650, 604, 684], \"text\": \"R\"}, {\"box_2d\": [590, 704, 611, 740], \"text\": \"A\"}, {\"box_2d\": [595, 758, 616, 795], \"text\": \"Z\"}, {\"box_2d\": [596, 814, 615, 851], \"text\": \"E\"}, {\"box_2d\": [635, 811, 655, 848], \"text\": \"S\"}, {\"box_2d\": [669, 756, 688, 790], \"text\": \"P\"}, {\"box_2d\": [675, 807, 685, 843], \"text\": \"I\"}, {\"box_2d\": [711, 802, 731, 837], \"text\": \"R\"}, {\"box_2d\": [717, 853, 738, 888], \"text\": \"U\"}, {\"box_2d\": [723, 907, 745, 941], \"text\": \"G\"}, {\"box_2d\": [760, 899, 782, 933], \"text\": \"O\"}, {\"box_2d\": [801, 888, 821, 922], \"text\": \"F\"}]", "correct": true, "input_tokens": 1301, "output_tokens": 5512, "elapsed_seconds": 51.90768625005148, "metadata": {"question": "{\"question\": \"Locate and transcribe the large letter on every visible letter tile.\", \"specification\": \"Use one tight box around each letter, not the tile boundary; keep adjacent tiles separate. Include rotated letters; exclude point values, blank tiles and background text. Return plain text, not LaTeX.\\n\\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\", \"task\": \"localization_recognition\"}", "sample_id": "a8c3a555c48b1fe7b87dc72084d72472d953b033756a5187e853fd26ca3ea85b", "category": "localization_recognition", "subset": "c7e0eb346c8e2ba1", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "26df4b81b64135c7529a5a1cffc157d4bd879c27ca331c88c7666aff818ad48c", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe the large letter on every visible letter tile.\n\nUse one tight box around each letter, not the tile boundary; keep adjacent tiles separate. Include rotated letters; exclude point values, blank tiles and background text. Return plain text, not LaTeX.\n\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 1.0, "status": "ok", "format_compliant": true, "detection_f1": 1.0, "matched_regions": 50, "reference_regions": 50, "predicted_regions": 50, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 52.4539}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 525, "image": "image_da2caa60803f1fed27c57da5_jpg.rf.2a2cd5ac9378158a088bfc4b477037a6.jpg", "expected": "BENT\nDUH\nFAT\nFOG\nFUN\nGLADE\nGLOW\nGRAZE\nGREW\nJADE\nJET\nMANY\nPI\nRISE\nRUG\nTHIEF\nTOY\nVAN\nVET", "predicted": "BENT\nDUH\nFAT\nFOG\nFUN\nGLADE\nGLOW\nGRAZE\nGREW\nJADE\nJET\nMANY\nPI\nRISE\nRUG\nTHIEF\nTOY\nVAN\nVET", "correct": true, "input_tokens": 1172, "output_tokens": 3716, "elapsed_seconds": 50.180840499931946, "metadata": {"question": "{\"question\": \"Read all words formed by the letter tiles, including rotated words. Include only words valid in the Merriam-Webster Official Scrabble Players Dictionary. Return them in uppercase, one word per line, in alphabetical order. Preserve spelling and repeated words; do not correct or rearrange letters to make valid words. Ignore isolated letters and background text. Return only the words, without explanations or Markdown.\", \"task\": \"transcription\"}", "sample_id": "774445bcb26de145f36fa9bbdb3b5721d6070f80ad7b73c2ac1f7ab8cfe4a0ca", "category": "transcription", "subset": "1b7d212231bfff95", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "26df4b81b64135c7529a5a1cffc157d4bd879c27ca331c88c7666aff818ad48c", "text_protocol": "mixed-text-v2", "scoring_profile": "transcription", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read all words formed by the letter tiles, including rotated words. Include only words valid in the Merriam-Webster Official Scrabble Players Dictionary. Return them in uppercase, one word per line, in alphabetical order. Preserve spelling and repeated words; do not correct or rearrange letters to make valid words. Ignore isolated letters and background text. Return only the words, without explanations or Markdown.", "match_method": "transcription", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 3, "retries": 2, "total_seconds": 180.8233, "transient_errors": ["RemoteProtocolError", "RemoteProtocolError"]}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 526, "image": "image_60d860f5bbd0696343c3457e_jpg.rf.63fd81b9d496c3bb24f1ff9c6382eabe.jpg", "expected": "[{\"bbox\":[1128,149,1243,260],\"text\":\"O\"},{\"bbox\":[1719,273,1846,372],\"text\":\"E\"},{\"bbox\":[1520,286,1643,401],\"text\":\"R\"},{\"bbox\":[1325,314,1445,413],\"text\":\"U\"},{\"bbox\":[1124,348,1243,445],\"text\":\"S\"},{\"bbox\":[1702,485,1828,575],\"text\":\"L\"},{\"bbox\":[1705,693,1829,779],\"text\":\"F\"},{\"bbox\":[785,726,894,835],\"text\":\"A\"},{\"bbox\":[963,744,1074,848],\"text\":\"D\"},{\"bbox\":[615,767,719,862],\"text\":\"B\"},{\"bbox\":[1338,905,1457,1022],\"text\":\"X\"},{\"bbox\":[1712,918,1838,950],\"text\":\"I\"},{\"bbox\":[950,937,1065,1048],\"text\":\"A\"},{\"bbox\":[1726,1078,1851,1198],\"text\":\"R\"},{\"bbox\":[1525,1099,1648,1197],\"text\":\"E\"},{\"bbox\":[1140,1113,1255,1209],\"text\":\"T\"},{\"bbox\":[1328,1115,1448,1211],\"text\":\"E\"},{\"bbox\":[950,1136,1067,1234],\"text\":\"S\"},{\"bbox\":[1140,1309,1257,1408],\"text\":\"U\"},{\"bbox\":[1715,1477,1839,1584],\"text\":\"D\"},{\"bbox\":[1320,1512,1437,1605],\"text\":\"E\"},{\"bbox\":[1513,1512,1634,1607],\"text\":\"E\"},{\"bbox\":[1130,1516,1243,1609],\"text\":\"P\"},{\"bbox\":[1502,1710,1625,1815],\"text\":\"N\"},{\"bbox\":[1299,1848,1427,1965],\"text\":\"Q\"},{\"bbox\":[1499,1953,1621,1980],\"text\":\"I\"},{\"bbox\":[1474,2110,1597,2225],\"text\":\"V\"},{\"bbox\":[2097,2118,2232,2235],\"text\":\"Y\"},{\"bbox\":[1882,2123,2013,2236],\"text\":\"R\"},{\"bbox\":[1673,2126,1802,2246],\"text\":\"A\"},{\"bbox\":[2102,2355,2236,2472],\"text\":\"R\"},{\"bbox\":[2568,2364,2716,2476],\"text\":\"S\"},{\"bbox\":[1484,2554,1611,2657],\"text\":\"S\"},{\"bbox\":[2125,2571,2262,2697],\"text\":\"A\"},{\"bbox\":[2583,2581,2730,2709],\"text\":\"G\"},{\"bbox\":[1502,2762,1625,2864],\"text\":\"T\"},{\"bbox\":[1711,2777,1839,2893],\"text\":\"R\"},{\"bbox\":[1921,2801,2054,2903],\"text\":\"E\"},{\"bbox\":[2141,2801,2277,2905],\"text\":\"E\"},{\"bbox\":[2583,2813,2727,2921],\"text\":\"U\"},{\"bbox\":[1093,2963,1210,3063],\"text\":\"E\"},{\"bbox\":[1489,2977,1612,3077],\"text\":\"E\"},{\"bbox\":[2133,2983,2271,3151],\"text\":\"W\"},{\"bbox\":[2359,3036,2497,3142],\"text\":\"E\"},{\"bbox\":[2594,3042,2741,3149],\"text\":\"B\"},{\"bbox\":[1479,3177,1604,3296],\"text\":\"V\"},{\"bbox\":[1090,3181,1206,3263],\"text\":\"L\"},{\"bbox\":[1684,3205,1813,3306],\"text\":\"E\"},{\"bbox\":[1281,3212,1401,3243],\"text\":\"I\"},{\"bbox\":[888,3355,1001,3461],\"text\":\"H\"},{\"bbox\":[1082,3403,1200,3440],\"text\":\"I\"},{\"bbox\":[1092,3579,1207,3691],\"text\":\"R\"}]", "predicted": "[{\"box_2d\": [39, 376, 65, 412], \"text\": \"O\"}, {\"box_2d\": [68, 571, 91, 610], \"text\": \"E\"}, {\"box_2d\": [76, 502, 100, 543], \"text\": \"R\"}, {\"box_2d\": [80, 439, 104, 480], \"text\": \"U\"}, {\"box_2d\": [89, 374, 112, 412], \"text\": \"S\"}, {\"box_2d\": [119, 567, 142, 608], \"text\": \"L\"}, {\"box_2d\": [172, 565, 193, 605], \"text\": \"F\"}, {\"box_2d\": [181, 260, 207, 297], \"text\": \"A\"}, {\"box_2d\": [184, 319, 209, 357], \"text\": \"D\"}, {\"box_2d\": [191, 202, 214, 240], \"text\": \"B\"}, {\"box_2d\": [227, 444, 253, 482], \"text\": \"X\"}, {\"box_2d\": [229, 568, 239, 609], \"text\": \"I\"}, {\"box_2d\": [235, 317, 262, 355], \"text\": \"A\"}, {\"box_2d\": [271, 571, 297, 613], \"text\": \"R\"}, {\"box_2d\": [274, 504, 297, 545], \"text\": \"E\"}, {\"box_2d\": [277, 379, 302, 417], \"text\": \"T\"}, {\"box_2d\": [278, 440, 300, 480], \"text\": \"E\"}, {\"box_2d\": [282, 315, 307, 355], \"text\": \"S\"}, {\"box_2d\": [326, 377, 350, 415], \"text\": \"U\"}, {\"box_2d\": [368, 567, 394, 609], \"text\": \"D\"}, {\"box_2d\": [375, 498, 400, 540], \"text\": \"N\"}, {\"box_2d\": [376, 437, 399, 476], \"text\": \"E\"}, {\"box_2d\": [378, 374, 400, 412], \"text\": \"P\"}, {\"box_2d\": [427, 498, 450, 540], \"text\": \"E\"}, {\"box_2d\": [457, 430, 487, 474], \"text\": \"Q\"}, {\"box_2d\": [482, 496, 492, 536], \"text\": \"I\"}, {\"box_2d\": [525, 490, 553, 531], \"text\": \"V\"}, {\"box_2d\": [528, 555, 558, 597], \"text\": \"A\"}, {\"box_2d\": [528, 622, 555, 666], \"text\": \"R\"}, {\"box_2d\": [528, 696, 557, 740], \"text\": \"Y\"}, {\"box_2d\": [582, 696, 610, 741], \"text\": \"R\"}, {\"box_2d\": [587, 851, 615, 899], \"text\": \"S\"}, {\"box_2d\": [633, 491, 660, 534], \"text\": \"S\"}, {\"box_2d\": [636, 701, 667, 746], \"text\": \"A\"}, {\"box_2d\": [639, 855, 672, 902], \"text\": \"G\"}, {\"box_2d\": [684, 494, 712, 536], \"text\": \"T\"}, {\"box_2d\": [690, 567, 718, 610], \"text\": \"R\"}, {\"box_2d\": [695, 636, 720, 680], \"text\": \"E\"}, {\"box_2d\": [695, 709, 720, 754], \"text\": \"E\"}, {\"box_2d\": [696, 855, 725, 902], \"text\": \"U\"}, {\"box_2d\": [734, 362, 759, 402], \"text\": \"E\"}, {\"box_2d\": [737, 491, 762, 534], \"text\": \"E\"}, {\"box_2d\": [741, 705, 780, 752], \"text\": \"W\"}, {\"box_2d\": [752, 780, 779, 826], \"text\": \"E\"}, {\"box_2d\": [754, 859, 782, 905], \"text\": \"B\"}, {\"box_2d\": [788, 360, 811, 400], \"text\": \"L\"}, {\"box_2d\": [788, 488, 817, 531], \"text\": \"V\"}, {\"box_2d\": [794, 424, 804, 465], \"text\": \"I\"}, {\"box_2d\": [795, 558, 821, 601], \"text\": \"E\"}, {\"box_2d\": [833, 294, 858, 332], \"text\": \"H\"}, {\"box_2d\": [843, 359, 853, 399], \"text\": \"I\"}, {\"box_2d\": [886, 360, 916, 401], \"text\": \"R\"}]", "correct": false, "input_tokens": 1301, "output_tokens": 5658, "elapsed_seconds": 55.520675124949776, "metadata": {"question": "{\"question\": \"Locate and transcribe the large letter on every visible letter tile.\", \"specification\": \"Use one tight box around each letter, not the tile boundary; keep adjacent tiles separate. Include rotated letters; exclude point values, blank tiles and background text. Return plain text, not LaTeX.\\n\\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\", \"task\": \"localization_recognition\"}", "sample_id": "3380ad716fc9b9a62c4387e1b87c627e7034b44c857ff750390d0dc66bf786b6", "category": "localization_recognition", "subset": "c7e0eb346c8e2ba1", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "721d7b6a6dacc3c6a4eab31c66e4501cc8413b4ee727c70de48b11bc0b540047", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe the large letter on every visible letter tile.\n\nUse one tight box around each letter, not the tile boundary; keep adjacent tiles separate. Include rotated letters; exclude point values, blank tiles and background text. Return plain text, not LaTeX.\n\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 0.9615, "status": "ok", "format_compliant": true, "detection_f1": 1.0, "matched_regions": 50, "reference_regions": 52, "predicted_regions": 52, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 56.0464}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 527, "image": "image_60d860f5bbd0696343c3457e_jpg.rf.63fd81b9d496c3bb24f1ff9c6382eabe.jpg", "expected": "BAD\nBUGS\nEX\nHI\nLIVE\nPEED\nPUT\nQI\nRIFLE\nRILE\nSAD\nSO\nSTEER\nSURE\nTREE\nVARY\nVETS\nVINE\nWEARY\nWEB", "predicted": "BAD\nBUGS\nEX\nHI\nLIVE\nPEED\nPUT\nQI\nRIFLE\nRILE\nSAD\nSO\nSTEER\nSURE\nTREE\nVARY\nVETS\nVINE\nWEARY\nWEB", "correct": true, "input_tokens": 1172, "output_tokens": 4108, "elapsed_seconds": 50.79260395793244, "metadata": {"question": "{\"question\": \"Read all words formed by the letter tiles, including rotated words. Include only words valid in the Merriam-Webster Official Scrabble Players Dictionary. Return them in uppercase, one word per line, in alphabetical order. Preserve spelling and repeated words; do not correct or rearrange letters to make valid words. Ignore isolated letters and background text. Return only the words, without explanations or Markdown.\", \"task\": \"transcription\"}", "sample_id": "6688b168c02cece2263d5602407055dd2dd95a682f7b84415e4f9ef3b51f30f6", "category": "transcription", "subset": "1b7d212231bfff95", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "721d7b6a6dacc3c6a4eab31c66e4501cc8413b4ee727c70de48b11bc0b540047", "text_protocol": "mixed-text-v2", "scoring_profile": "transcription", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read all words formed by the letter tiles, including rotated words. Include only words valid in the Merriam-Webster Official Scrabble Players Dictionary. Return them in uppercase, one word per line, in alphabetical order. Preserve spelling and repeated words; do not correct or rearrange letters to make valid words. Ignore isolated letters and background text. Return only the words, without explanations or Markdown.", "match_method": "transcription", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 3, "retries": 2, "total_seconds": 181.5199, "transient_errors": ["RemoteProtocolError", "RemoteProtocolError"]}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 528, "image": "image_92ce55d4a54b5a8148bc564d_jpg.rf.447ecddf003f8cce302a40c9ad8bbb2a.jpg", "expected": "{\"issuing_authority\":\"TUZLA BELED\u0130YES\u0130\",\"approval_date\":\"12/02/2025\",\"document_number\":\"32/25\",\"permit_purpose\":\"Yap\u0131 Kullanma \u0130zni\",\"map_sheet_number\":null,\"block_number\":\"0\",\"parcel_number\":\"8226\",\"building_block_number\":\"B\",\"building_class\":\"III\",\"building_group\":\"B\",\"floors_below_road\":\"2\",\"floors_above_road\":\"4\",\"total_floors\":\"6\",\"building_construction_area\":\"5007,68\",\"all_buildings_construction_area\":\"71602,12\"}", "predicted": "{\n \"issuing_authority\": \"TUZLA BELED\u0130YES\u0130\",\n \"approval_date\": \"12/02/2025\",\n \"document_number\": \"32/25\",\n \"permit_purpose\": \"Yap\u0131 Kullanma \u0130zni\",\n \"map_sheet_number\": null,\n \"block_number\": \"0\",\n \"parcel_number\": \"8226\",\n \"building_block_number\": \"B\",\n \"building_class\": \"III\",\n \"building_group\": \"B\",\n \"floors_below_road\": \"2\",\n \"floors_above_road\": \"4\",\n \"total_floors\": \"6\",\n \"building_construction_area\": \"5007,68\",\n \"all_buildings_construction_area\": \"71602,12\"\n}", "correct": true, "input_tokens": 1477, "output_tokens": 1535, "elapsed_seconds": 16.72505758306943, "metadata": {"question": "{\"question\": \"Extract these identification and building fields from the building-use permit. Return only a valid JSON object with this structure:\\n\\n{\\n \\\"issuing_authority\\\": null,\\n \\\"approval_date\\\": null,\\n \\\"document_number\\\": null,\\n \\\"permit_purpose\\\": null,\\n \\\"map_sheet_number\\\": null,\\n \\\"block_number\\\": null,\\n \\\"parcel_number\\\": null,\\n \\\"building_block_number\\\": null,\\n \\\"building_class\\\": null,\\n \\\"building_group\\\": null,\\n \\\"floors_below_road\\\": null,\\n \\\"floors_above_road\\\": null,\\n \\\"total_floors\\\": null,\\n \\\"building_construction_area\\\": null,\\n \\\"all_buildings_construction_area\\\": null\\n}\\n\\nUse approval date and document number from Belgenin onay tarihi and Belge no, not earlier construction licences. permit_purpose is the selected option under Belgenin verili\u015f amac\u0131. Map cadastral identifiers from Pafta No, Ada No, Parsel No and Blok No. Keep Yap\u0131 in\u015faat alan\u0131 separate from Toplam yap\u0131 in\u015faat alan\u0131; do not substitute the permitted-part area. Omit printed area units; preserve numeric separators and dates.\\n\\nFor handwritten entries completed on preprinted date templates, include the printed year prefix. Treat standalone asterisks, dashes and dotted placeholders as null; retain punctuation within actual document numbers.\\n\\nPreserve the text as written; join line breaks within a field with spaces. Do not infer missing information or translate. Use strings for extracted values and null for missing or unreadable fields. Include every key. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "4f3845db7ec37b9d512d6036b7c03cc31ea1e195b4d181ce5c5e7b534b2a3575", "category": "structured", "subset": "1ced26f23029a4b6", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "cd5afadf59e8a092cbbc33fa3de01c03a36042ddc640424427a2d24b7074e41e", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract these identification and building fields from the building-use permit. Return only a valid JSON object with this structure:\n\n{\n \"issuing_authority\": null,\n \"approval_date\": null,\n \"document_number\": null,\n \"permit_purpose\": null,\n \"map_sheet_number\": null,\n \"block_number\": null,\n \"parcel_number\": null,\n \"building_block_number\": null,\n \"building_class\": null,\n \"building_group\": null,\n \"floors_below_road\": null,\n \"floors_above_road\": null,\n \"total_floors\": null,\n \"building_construction_area\": null,\n \"all_buildings_construction_area\": null\n}\n\nUse approval date and document number from Belgenin onay tarihi and Belge no, not earlier construction licences. permit_purpose is the selected option under Belgenin verili\u015f amac\u0131. Map cadastral identifiers from Pafta No, Ada No, Parsel No and Blok No. Keep Yap\u0131 in\u015faat alan\u0131 separate from Toplam yap\u0131 in\u015faat alan\u0131; do not substitute the permitted-part area. Omit printed area units; preserve numeric separators and dates.\n\nFor handwritten entries completed on preprinted date templates, include the printed year prefix. Treat standalone asterisks, dashes and dotted placeholders as null; retain punctuation within actual document numbers.\n\nPreserve the text as written; join line breaks within a field with spaces. Do not infer missing information or translate. Use strings for extracted values and null for missing or unreadable fields. Include every key. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 15, "reference_fields": 15, "predicted_fields": 15, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 16.7618}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 529, "image": "image_a633a69aee97144cb36e5555_jpg.rf.3aaa5411311b54b532a6ddc33f7b65ae.jpg", "expected": "A015969", "predicted": "4015989", "correct": false, "input_tokens": 1144, "output_tokens": 3278, "elapsed_seconds": 48.885260957991704, "metadata": {"question": "{\"question\": \"Read the identification code on the utility pole tag. Return only the code, joining vertically stacked characters without spaces and preserving leading zeros and hyphens. Exclude labels such as POLE NO., timestamps and GPS/address overlays. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "4eb809d9541f0d2ece1aebe75a8321679bc818a4828dbae68afe2ec55a4fff3f", "category": "single_string", "subset": "cd97317d8ff518ba", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "3d6fc6649b0204180efc81a37a9ef8c3d23c61611158c812073b7f6828c3f3eb", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the identification code on the utility pole tag. Return only the code, joining vertically stacked characters without spaces and preserving leading zeros and hyphens. Exclude labels such as POLE NO., timestamps and GPS/address overlays. Do not explain.", "match_method": "single_string", "score": 0.0, "status": "ok", "format_compliant": true, "attempts": 4, "retries": 3, "total_seconds": 246.7246, "transient_errors": ["RemoteProtocolError", "RemoteProtocolError", "RemoteProtocolError"]}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 530, "image": "image_b09475eb05648c950bd742e7_jpg.rf.3d2b60d019fcce0e372ac96c68cc5020.jpg", "expected": "[{\"bbox\":[52,5,78,23],\"text\":\"79\"},{\"bbox\":[495,13,511,34],\"text\":\"1\"},{\"bbox\":[49,96,76,114],\"text\":\"80\"},{\"bbox\":[489,115,504,135],\"text\":\"2\"},{\"bbox\":[153,117,189,134],\"text\":\"CNA\"},{\"bbox\":[239,119,362,144],\"text\":\"ACM-109\"},{\"bbox\":[72,165,87,199],\"text\":\"R10\"},{\"bbox\":[400,166,426,184],\"text\":\"R3\"},{\"bbox\":[483,168,510,185],\"text\":\"R2\"},{\"bbox\":[261,177,279,211],\"text\":\"C18\"},{\"bbox\":[399,184,427,201],\"text\":\"R4\"},{\"bbox\":[483,184,503,200],\"text\":\"R1\"},{\"bbox\":[309,204,329,241],\"text\":\"EM5\"},{\"bbox\":[92,212,131,230],\"text\":\"R29\"},{\"bbox\":[458,220,483,237],\"text\":\"C5\"},{\"bbox\":[23,239,39,274],\"text\":\"R12\"},{\"bbox\":[72,245,89,275],\"text\":\"R11\"},{\"bbox\":[112,287,129,324],\"text\":\"R27\"},{\"bbox\":[146,287,162,324],\"text\":\"R28\"},{\"bbox\":[493,293,530,311],\"text\":\"C20\"},{\"bbox\":[29,296,65,316],\"text\":\"RM1\"},{\"bbox\":[290,298,316,315],\"text\":\"C7\"},{\"bbox\":[214,308,240,324],\"text\":\"C9\"},{\"bbox\":[32,328,53,341],\"text\":\"152\"},{\"bbox\":[220,357,246,372],\"text\":\"C8\"},{\"bbox\":[110,362,129,398],\"text\":\"EM2\"},{\"bbox\":[232,374,252,410],\"text\":\"C10\"},{\"bbox\":[309,390,327,416],\"text\":\"C6\"},{\"bbox\":[422,394,439,431],\"text\":\"C25\"},{\"bbox\":[163,400,200,418],\"text\":\"C15\"},{\"bbox\":[288,406,305,438],\"text\":\"C11\"},{\"bbox\":[329,566,369,583],\"text\":\"CNB\"},{\"bbox\":[77,567,105,584],\"text\":\"79\"},{\"bbox\":[485,575,495,593],\"text\":\"1\"},{\"bbox\":[499,638,556,663],\"text\":\"1349\"},{\"bbox\":[494,667,509,687],\"text\":\"2\"},{\"bbox\":[48,679,75,696],\"text\":\"80\"}]", "predicted": "[{\"box_2d\": [12, 95, 34, 134], \"text\": \"79\"}, {\"box_2d\": [27, 892, 46, 905], \"text\": \"1\"}, {\"box_2d\": [141, 95, 161, 134], \"text\": \"80\"}, {\"box_2d\": [167, 275, 189, 338], \"text\": \"CNA\"}, {\"box_2d\": [168, 878, 189, 896], \"text\": \"2\"}, {\"box_2d\": [175, 440, 204, 645], \"text\": \"ACM-109\"}, {\"box_2d\": [237, 131, 282, 159], \"text\": \"R10\"}, {\"box_2d\": [242, 719, 262, 758], \"text\": \"R3\"}, {\"box_2d\": [244, 866, 265, 905], \"text\": \"R2\"}, {\"box_2d\": [256, 472, 300, 499], \"text\": \"C18\"}, {\"box_2d\": [264, 719, 285, 758], \"text\": \"R4\"}, {\"box_2d\": [266, 866, 287, 896], \"text\": \"R1\"}, {\"box_2d\": [295, 558, 341, 584], \"text\": \"EM5\"}, {\"box_2d\": [307, 170, 328, 229], \"text\": \"R29\"}, {\"box_2d\": [316, 821, 337, 860], \"text\": \"C5\"}, {\"box_2d\": [347, 45, 392, 71], \"text\": \"R12\"}, {\"box_2d\": [353, 131, 392, 158], \"text\": \"R11\"}, {\"box_2d\": [412, 206, 459, 232], \"text\": \"R27\"}, {\"box_2d\": [412, 265, 459, 291], \"text\": \"R28\"}, {\"box_2d\": [422, 885, 442, 944], \"text\": \"C20\"}, {\"box_2d\": [426, 56, 449, 108], \"text\": \"RM1\"}, {\"box_2d\": [428, 524, 450, 562], \"text\": \"C7\"}, {\"box_2d\": [443, 387, 463, 427], \"text\": \"C9\"}, {\"box_2d\": [472, 65, 485, 92], \"text\": \"152\"}, {\"box_2d\": [511, 395, 531, 435], \"text\": \"C8\"}, {\"box_2d\": [520, 202, 567, 229], \"text\": \"EM2\"}, {\"box_2d\": [536, 419, 582, 446], \"text\": \"C10\"}, {\"box_2d\": [561, 555, 593, 581], \"text\": \"C6\"}, {\"box_2d\": [568, 755, 613, 782], \"text\": \"C25\"}, {\"box_2d\": [573, 298, 594, 355], \"text\": \"C15\"}, {\"box_2d\": [584, 515, 623, 544], \"text\": \"C11\"}, {\"box_2d\": [812, 144, 833, 184], \"text\": \"79\"}, {\"box_2d\": [812, 592, 833, 653], \"text\": \"CNB\"}, {\"box_2d\": [824, 871, 845, 882], \"text\": \"1\"}, {\"box_2d\": [916, 901, 943, 991], \"text\": \"1349\"}, {\"box_2d\": [955, 888, 976, 906], \"text\": \"2\"}, {\"box_2d\": [971, 91, 992, 131], \"text\": \"80\"}]", "correct": false, "input_tokens": 1303, "output_tokens": 4384, "elapsed_seconds": 41.70894975005649, "metadata": {"question": "{\"question\": \"Locate and transcribe all visible text on the circuit board and its components.\", \"specification\": \"Use one box per distinct marking; join lines within the same marking with single spaces. Exclude logos and non-text symbols. Return plain text, not LaTeX.\\n\\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Do not include explanations or Markdown.\", \"task\": \"localization_recognition\"}", "sample_id": "c6ae56b561cf8f5f317208f11fcabca01d00349aa4b5ded18bd4be0f971a938d", "category": "localization_recognition", "subset": "6594bb1ef85ebb84", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "12f2294e6d0509c02e6a431297e408238a20b20c4dbfd8c34b18caa3fe3a55df", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe all visible text on the circuit board and its components.\n\nUse one box per distinct marking; join lines within the same marking with single spaces. Exclude logos and non-text symbols. Return plain text, not LaTeX.\n\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Do not include explanations or Markdown.\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 0.9189, "status": "ok", "format_compliant": true, "detection_f1": 0.918918918918919, "matched_regions": 34, "reference_regions": 37, "predicted_regions": 37, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 41.7275}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 531, "image": "image_2eaf1adb20009c3df472a7df_jpg.rf.ab64bf1635d01b6626f7da13cb93aee9.jpg", "expected": "{\"issuing_authority\":\"TUZLA BELED\u0130YES\u0130\",\"approval_date\":\"12/02/2025\",\"document_number\":\"31/25\",\"permit_purpose\":\"Yap\u0131 Kullanma \u0130zni\",\"map_sheet_number\":null,\"block_number\":\"0\",\"parcel_number\":\"8226\",\"building_block_number\":\"C\",\"building_class\":\"III\",\"building_group\":\"B\",\"floors_below_road\":\"2\",\"floors_above_road\":\"4\",\"total_floors\":\"6\",\"building_construction_area\":\"4465,11\",\"all_buildings_construction_area\":\"71602,12\"}", "predicted": "{\n \"issuing_authority\": \"TUZLA BELED\u0130YES\u0130\",\n \"approval_date\": \"12/02/2025\",\n \"document_number\": \"31/25\",\n \"permit_purpose\": \"Yap\u0131 Kullanma \u0130zni\",\n \"map_sheet_number\": null,\n \"block_number\": \"0\",\n \"parcel_number\": \"8226\",\n \"building_block_number\": \"C\",\n \"building_class\": \"III\",\n \"building_group\": \"B\",\n \"floors_below_road\": \"2\",\n \"floors_above_road\": \"4\",\n \"total_floors\": \"6\",\n \"building_construction_area\": \"4465,11\",\n \"all_buildings_construction_area\": \"71602,12\"\n}", "correct": true, "input_tokens": 1477, "output_tokens": 1786, "elapsed_seconds": 17.81673129205592, "metadata": {"question": "{\"question\": \"Extract these identification and building fields from the building-use permit. Return only a valid JSON object with this structure:\\n\\n{\\n \\\"issuing_authority\\\": null,\\n \\\"approval_date\\\": null,\\n \\\"document_number\\\": null,\\n \\\"permit_purpose\\\": null,\\n \\\"map_sheet_number\\\": null,\\n \\\"block_number\\\": null,\\n \\\"parcel_number\\\": null,\\n \\\"building_block_number\\\": null,\\n \\\"building_class\\\": null,\\n \\\"building_group\\\": null,\\n \\\"floors_below_road\\\": null,\\n \\\"floors_above_road\\\": null,\\n \\\"total_floors\\\": null,\\n \\\"building_construction_area\\\": null,\\n \\\"all_buildings_construction_area\\\": null\\n}\\n\\nUse approval date and document number from Belgenin onay tarihi and Belge no, not earlier construction licences. permit_purpose is the selected option under Belgenin verili\u015f amac\u0131. Map cadastral identifiers from Pafta No, Ada No, Parsel No and Blok No. Keep Yap\u0131 in\u015faat alan\u0131 separate from Toplam yap\u0131 in\u015faat alan\u0131; do not substitute the permitted-part area. Omit printed area units; preserve numeric separators and dates.\\n\\nFor handwritten entries completed on preprinted date templates, include the printed year prefix. Treat standalone asterisks, dashes and dotted placeholders as null; retain punctuation within actual document numbers.\\n\\nPreserve the text as written; join line breaks within a field with spaces. Do not infer missing information or translate. Use strings for extracted values and null for missing or unreadable fields. Include every key. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "a9be24d865a3c44b9eb95dcfc132c52af5afb9f00096a476797efd56c69240eb", "category": "structured", "subset": "1ced26f23029a4b6", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "ff6a4149deeec2be6d95f020f75e0ffa347bd62d4aa665383d63864c5a2a4424", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract these identification and building fields from the building-use permit. Return only a valid JSON object with this structure:\n\n{\n \"issuing_authority\": null,\n \"approval_date\": null,\n \"document_number\": null,\n \"permit_purpose\": null,\n \"map_sheet_number\": null,\n \"block_number\": null,\n \"parcel_number\": null,\n \"building_block_number\": null,\n \"building_class\": null,\n \"building_group\": null,\n \"floors_below_road\": null,\n \"floors_above_road\": null,\n \"total_floors\": null,\n \"building_construction_area\": null,\n \"all_buildings_construction_area\": null\n}\n\nUse approval date and document number from Belgenin onay tarihi and Belge no, not earlier construction licences. permit_purpose is the selected option under Belgenin verili\u015f amac\u0131. Map cadastral identifiers from Pafta No, Ada No, Parsel No and Blok No. Keep Yap\u0131 in\u015faat alan\u0131 separate from Toplam yap\u0131 in\u015faat alan\u0131; do not substitute the permitted-part area. Omit printed area units; preserve numeric separators and dates.\n\nFor handwritten entries completed on preprinted date templates, include the printed year prefix. Treat standalone asterisks, dashes and dotted placeholders as null; retain punctuation within actual document numbers.\n\nPreserve the text as written; join line breaks within a field with spaces. Do not infer missing information or translate. Use strings for extracted values and null for missing or unreadable fields. Include every key. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 15, "reference_fields": 15, "predicted_fields": 15, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 17.8752}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 532, "image": "image_6d5a4e0f139967521ae586ec_jpg.rf.ae351f9977ef2e39af4e3fc1f2c0e46b.jpg", "expected": "250116", "predicted": "250116", "correct": true, "input_tokens": 1143, "output_tokens": 589, "elapsed_seconds": 8.608689708053134, "metadata": {"question": "{\"question\": \"Read the six-digit code engraved on the metal surface. Return only the code as a string of digits, preserving leading zeros. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "1d382c9380de59c3061885f00644570b86b5a5fb79c91a49e079fc27566d986b", "category": "single_string", "subset": "f2a87f15a0d3eb96", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "6463cf07b9b2d6a63267a9c9b5180f17dbee452db15ed069132506a315aed859", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the six-digit code engraved on the metal surface. Return only the code as a string of digits, preserving leading zeros. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 8.6159}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 533, "image": "image_37a9869b0f1e9f8edbdf1f86_jpg.rf.9b0071280b435199fd6c369a63a1bd1a.jpg", "expected": "[{\"bbox\":[544,319,672,454],\"text\":\"M\"},{\"bbox\":[601,522,637,646],\"text\":\"I\"},{\"bbox\":[606,716,718,845],\"text\":\"C\"},{\"bbox\":[798,922,953,1052],\"text\":\"W\"},{\"bbox\":[606,932,721,1057],\"text\":\"A\"},{\"bbox\":[1242,932,1354,1057],\"text\":\"C\"},{\"bbox\":[426,958,500,1081],\"text\":\"J\"},{\"bbox\":[2536,1085,2665,1218],\"text\":\"G\"},{\"bbox\":[2095,1099,2201,1236],\"text\":\"E\"},{\"bbox\":[1886,1120,1992,1253],\"text\":\"S\"},{\"bbox\":[1452,1138,1572,1269],\"text\":\"O\"},{\"bbox\":[1664,1139,1786,1271],\"text\":\"O\"},{\"bbox\":[1254,1144,1342,1272],\"text\":\"L\"},{\"bbox\":[807,1158,925,1292],\"text\":\"A\"},{\"bbox\":[2550,1294,2663,1430],\"text\":\"U\"},{\"bbox\":[1247,1356,1366,1487],\"text\":\"A\"},{\"bbox\":[807,1373,915,1507],\"text\":\"N\"},{\"bbox\":[1925,1373,2028,1505],\"text\":\"U\"},{\"bbox\":[639,1390,667,1517],\"text\":\"I\"},{\"bbox\":[2365,1515,2463,1647],\"text\":\"E\"},{\"bbox\":[2566,1518,2698,1652],\"text\":\"M\"},{\"bbox\":[2144,1560,2245,1694],\"text\":\"E\"},{\"bbox\":[1314,1567,1340,1697],\"text\":\"I\"},{\"bbox\":[1917,1590,2038,1722],\"text\":\"R\"},{\"bbox\":[851,1607,951,1738],\"text\":\"T\"},{\"bbox\":[1481,1799,1597,1926],\"text\":\"Y\"},{\"bbox\":[1061,1803,1174,1929],\"text\":\"R\"},{\"bbox\":[1960,1803,2062,1937],\"text\":\"E\"},{\"bbox\":[1266,1805,1389,1934],\"text\":\"M\"},{\"bbox\":[623,1825,782,1955],\"text\":\"W\"},{\"bbox\":[846,1825,977,1946],\"text\":\"O\"},{\"bbox\":[875,2027,982,2158],\"text\":\"N\"},{\"bbox\":[652,2042,772,2171],\"text\":\"O\"},{\"bbox\":[641,2255,771,2375],\"text\":\"O\"},{\"bbox\":[1060,2457,1180,2590],\"text\":\"G\"},{\"bbox\":[846,2464,976,2585],\"text\":\"O\"},{\"bbox\":[660,2470,744,2598],\"text\":\"L\"},{\"bbox\":[443,2476,539,2603],\"text\":\"B\"},{\"bbox\":[1069,2666,1190,2799],\"text\":\"O\"},{\"bbox\":[1087,2885,1188,3014],\"text\":\"T\"},{\"bbox\":[910,2886,942,3016],\"text\":\"I\"},{\"bbox\":[674,2889,775,3022],\"text\":\"Z\"},{\"bbox\":[1092,3098,1200,3228],\"text\":\"H\"}]", "predicted": "[{\"box_2d\": [79, 179, 111, 223], \"text\": \"M\"}, {\"box_2d\": [128, 198, 160, 211], \"text\": \"I\"}, {\"box_2d\": [178, 200, 209, 236], \"text\": \"C\"}, {\"box_2d\": [236, 141, 267, 166], \"text\": \"J\"}, {\"box_2d\": [230, 202, 261, 241], \"text\": \"A\"}, {\"box_2d\": [229, 263, 260, 317], \"text\": \"W\"}, {\"box_2d\": [231, 411, 262, 449], \"text\": \"C\"}, {\"box_2d\": [286, 268, 319, 307], \"text\": \"A\"}, {\"box_2d\": [283, 415, 314, 443], \"text\": \"L\"}, {\"box_2d\": [282, 479, 314, 520], \"text\": \"O\"}, {\"box_2d\": [283, 550, 315, 591], \"text\": \"O\"}, {\"box_2d\": [279, 623, 311, 659], \"text\": \"S\"}, {\"box_2d\": [274, 694, 306, 728], \"text\": \"E\"}, {\"box_2d\": [269, 839, 302, 881], \"text\": \"G\"}, {\"box_2d\": [344, 211, 376, 220], \"text\": \"I\"}, {\"box_2d\": [340, 267, 372, 303], \"text\": \"N\"}, {\"box_2d\": [336, 412, 369, 452], \"text\": \"A\"}, {\"box_2d\": [340, 635, 373, 672], \"text\": \"U\"}, {\"box_2d\": [321, 845, 354, 882], \"text\": \"U\"}, {\"box_2d\": [397, 281, 429, 315], \"text\": \"T\"}, {\"box_2d\": [389, 434, 421, 442], \"text\": \"I\"}, {\"box_2d\": [394, 634, 426, 673], \"text\": \"R\"}, {\"box_2d\": [386, 709, 419, 744], \"text\": \"E\"}, {\"box_2d\": [376, 779, 409, 813], \"text\": \"E\"}, {\"box_2d\": [377, 849, 410, 892], \"text\": \"M\"}, {\"box_2d\": [451, 203, 484, 258], \"text\": \"W\"}, {\"box_2d\": [448, 280, 481, 321], \"text\": \"O\"}, {\"box_2d\": [447, 353, 479, 391], \"text\": \"R\"}, {\"box_2d\": [447, 417, 479, 459], \"text\": \"M\"}, {\"box_2d\": [445, 489, 477, 528], \"text\": \"Y\"}, {\"box_2d\": [448, 648, 480, 682], \"text\": \"E\"}, {\"box_2d\": [504, 216, 537, 255], \"text\": \"O\"}, {\"box_2d\": [502, 289, 534, 325], \"text\": \"N\"}, {\"box_2d\": [557, 214, 590, 255], \"text\": \"O\"}, {\"box_2d\": [612, 146, 644, 181], \"text\": \"B\"}, {\"box_2d\": [611, 219, 643, 248], \"text\": \"L\"}, {\"box_2d\": [609, 281, 641, 321], \"text\": \"O\"}, {\"box_2d\": [608, 350, 641, 390], \"text\": \"G\"}, {\"box_2d\": [660, 353, 692, 393], \"text\": \"O\"}, {\"box_2d\": [715, 222, 748, 257], \"text\": \"Z\"}, {\"box_2d\": [715, 303, 747, 311], \"text\": \"I\"}, {\"box_2d\": [714, 358, 746, 393], \"text\": \"T\"}, {\"box_2d\": [768, 362, 800, 396], \"text\": \"H\"}]", "correct": true, "input_tokens": 1301, "output_tokens": 4480, "elapsed_seconds": 43.79536429094151, "metadata": {"question": "{\"question\": \"Locate and transcribe the large letter on every visible letter tile.\", \"specification\": \"Use one tight box around each letter, not the tile boundary; keep adjacent tiles separate. Include rotated letters; exclude point values, blank tiles and background text. Return plain text, not LaTeX.\\n\\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\", \"task\": \"localization_recognition\"}", "sample_id": "210e2e4e27fac2ba973648f8bba67b38e410a4ea1b089820b5caafefc7138193", "category": "localization_recognition", "subset": "c7e0eb346c8e2ba1", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "3fa3d79183e4f2ed671867aa2a3cea04dc6b66e839fa48ed07a95feebf67b576", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe the large letter on every visible letter tile.\n\nUse one tight box around each letter, not the tile boundary; keep adjacent tiles separate. Include rotated letters; exclude point values, blank tiles and background text. Return plain text, not LaTeX.\n\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 1.0, "status": "ok", "format_compliant": true, "detection_f1": 1.0, "matched_regions": 43, "reference_regions": 43, "predicted_regions": 43, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 44.3091}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 534, "image": "image_37a9869b0f1e9f8edbdf1f86_jpg.rf.9b0071280b435199fd6c369a63a1bd1a.jpg", "expected": "BLOG\nCLAIM\nGOTH\nGUM\nIN\nJAW\nLOOSE\nMICA\nON\nSURE\nWANTON\nWOOL\nWORMY\nZIT", "predicted": "BLOG\nCLAIM\nGOTH\nGUM\nIN\nJAW\nLOOSE\nMICA\nON\nSURE\nWANTON\nWOOL\nWORMY\nZIT", "correct": true, "input_tokens": 1172, "output_tokens": 2177, "elapsed_seconds": 32.75373154098634, "metadata": {"question": "{\"question\": \"Read all words formed by the letter tiles, including rotated words. Include only words valid in the Merriam-Webster Official Scrabble Players Dictionary. Return them in uppercase, one word per line, in alphabetical order. Preserve spelling and repeated words; do not correct or rearrange letters to make valid words. Ignore isolated letters and background text. Return only the words, without explanations or Markdown.\", \"task\": \"transcription\"}", "sample_id": "2a828d6bf92e4235986a52fb8987b80a52036828d0a1da8cfba9985a14a60d35", "category": "transcription", "subset": "1b7d212231bfff95", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "3fa3d79183e4f2ed671867aa2a3cea04dc6b66e839fa48ed07a95feebf67b576", "text_protocol": "mixed-text-v2", "scoring_profile": "transcription", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read all words formed by the letter tiles, including rotated words. Include only words valid in the Merriam-Webster Official Scrabble Players Dictionary. Return them in uppercase, one word per line, in alphabetical order. Preserve spelling and repeated words; do not correct or rearrange letters to make valid words. Ignore isolated letters and background text. Return only the words, without explanations or Markdown.", "match_method": "transcription", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 33.2793}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 535, "image": "image_bf512e5a6f55b18ec4d9da50_jpg.rf.807fd1283596880fdacf494ea0ebf6fe.jpg", "expected": "{\"grading_company\":\"PMG\",\"year\":null,\"denomination\":null,\"serial_number\":null,\"grade\":\"66\"}", "predicted": "{\n \"grading_company\": \"PMG\",\n \"year\": null,\n \"denomination\": null,\n \"serial_number\": null,\n \"grade\": \"66\"\n}", "correct": true, "input_tokens": 1359, "output_tokens": 5452, "elapsed_seconds": 57.527155208052136, "metadata": {"question": "{\"question\": \"Extract the information printed on this graded banknote and its holder. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"grading_company\\\": null,\\n \\\"year\\\": null,\\n \\\"denomination\\\": null,\\n \\\"serial_number\\\": null,\\n \\\"grade\\\": null\\n}\\n\\nRead serial_number from the banknote and the other fields from the holder. Preserve serial letters, leading zeros and symbols, removing spaces. Return the numeric grade only (e.g., \u201c25 Very Fine\u201d \u2192 \u201c25\u201d).\\n\\nNormalize serial stars to * (e.g., \u201cD20005093\u2606\u201d \u2192 \u201cD20005093*\u201d); omit decorative end marks. Use explicit holder fields for year and denomination, excluding catalog codes. For multiple notes, use the uppermost.\\n\\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "0dce42b29d7127d26b040c1c0b7acabb7a50496f8ea2840ce214f86216068fcf", "category": "structured", "subset": "e95781a757393405", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "04e8f2030fedc9a2c9200583f2323ee33dd2b10fb537e01e12a211e739d1139d", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on this graded banknote and its holder. Return only a valid JSON object with these fields:\n\n{\n \"grading_company\": null,\n \"year\": null,\n \"denomination\": null,\n \"serial_number\": null,\n \"grade\": null\n}\n\nRead serial_number from the banknote and the other fields from the holder. Preserve serial letters, leading zeros and symbols, removing spaces. Return the numeric grade only (e.g., \u201c25 Very Fine\u201d \u2192 \u201c25\u201d).\n\nNormalize serial stars to * (e.g., \u201cD20005093\u2606\u201d \u2192 \u201cD20005093*\u201d); omit decorative end marks. Use explicit holder fields for year and denomination, excluding catalog codes. For multiple notes, use the uppermost.\n\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 5, "reference_fields": 5, "predicted_fields": 5, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 57.5586}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 536, "image": "image_af98fc138c480a95adf240d3_jpg.rf.8cb4152856621b541dc4c3dddf2caaf8.jpg", "expected": "0", "predicted": "0", "correct": true, "input_tokens": 1167, "output_tokens": 489, "elapsed_seconds": 9.025817499961704, "metadata": {"question": "{\"question\": \"Read the weight shown on the digital scale in this image. Return only the numeric reading, preserving the decimal separator and any minus sign. Do not include units or explain.\", \"task\": \"single_string\"}", "sample_id": "f94b3adb9c5e95bf4d249e8f4d0331a43d67c5b28e9ac01f02d1fd34764ad558", "category": "single_string", "subset": "2230d8632391d9a6", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "2fc7956aa26c2ea966d060089b2d7dbd8292612a0cde24d20c018242e87e19bf", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the weight shown on the digital scale in this image. Return only the numeric reading, preserving the decimal separator and any minus sign. Do not include units or explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 9.1085}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 537, "image": "image_13ce14c69c20559dc342bd6e_jpg.rf.4b924cc2a928826bb74167beebc8267d.jpg", "expected": "01831.9", "predicted": "018316", "correct": false, "input_tokens": 1135, "output_tokens": 7175, "elapsed_seconds": 81.19460933294613, "metadata": {"question": "{\"question\": \"Read the total mileage shown on the odometer in this image. Return only the numeric reading, preserving leading zeros and any decimal separator. Do not include the trip reading, units, or explain.\", \"task\": \"single_string\"}", "sample_id": "29488ea607b45f424a2903227df158d6df65aed0aeaf0266c44bd9503216bbaa", "category": "single_string", "subset": "12ff5ae87687aff8", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "694abd79d966776fc1d42be228879ba0bf2328f7f9fde9c427cdb0f4b0beddef", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the total mileage shown on the odometer in this image. Return only the numeric reading, preserving leading zeros and any decimal separator. Do not include the trip reading, units, or explain.", "match_method": "single_string", "score": 0.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 81.2767}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 538, "image": "image_191faade506f5b258e2b1596_png_jpg.rf.322ad44a8d4f09764acd061258e6742d.jpg", "expected": "{\"columns\":[null,null,\"UDIT RAJ\",\"YOGENDER CHANDOLIYA\",\"VIJAY BAUDDH\",\"K M KAJAL\",\"ADV. KRUPAL\",\"KHILKHILAKAR\",\"NAND RAM BAGRI\",\"NARESH KUMAR\",\"POOJA (BHAGTANI)\",\"PRAVEEN GAUTAM\",\"PREETI\",\"ADVOCATE DR. MAHENDER SINGH CHURIYANA\",\"RAJENDER SOOD\",\"SHYAM BHARTEEY\",\"ADVOCATE SATISH CHANDRA\",\"SUBHASH\",\"SURESH KUMAR\",\"SANJAY KUMAR SIWAL\",\"ADITI\",\"CHANDER PAL SONI\",\"NARESH KUMAR\",\"PARMENDRA MANJHI\",\"PUSHPA NAGRA\",\"PRADEEP KUMAR\",\"SATYA PRAKASH UTTRAKHANDI\",\"HARI KISHAN (MECHANIC)\",\"Total of Valid Votes\",\"No. Of Rejected Votes\",\"Votes for NOTA\",\"Total\",\"No. Of Tendered Votes\"],\"rows\":[[\"1\",\"1\",\"157\",\"272\",\"2\",\"2\",\"0\",\"1\",\"2\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"2\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"440\",\"0\",\"3\",\"443\",\"0\"],[\"2\",\"2\",\"267\",\"478\",\"2\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"1\",\"0\",\"2\",\"0\",\"1\",\"1\",\"0\",\"0\",\"0\",\"1\",\"0\",\"756\",\"0\",\"8\",\"764\",\"0\"],[\"3\",\"3\",\"235\",\"472\",\"3\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"1\",\"0\",\"3\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"718\",\"0\",\"6\",\"724\",\"0\"],[\"4\",\"4\",\"183\",\"461\",\"2\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"647\",\"0\",\"16\",\"663\",\"0\"],[\"5\",\"5\",\"302\",\"562\",\"3\",\"2\",\"0\",\"0\",\"0\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"1\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"875\",\"0\",\"7\",\"882\",\"0\"],[\"6\",\"6\",\"156\",\"383\",\"3\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"545\",\"0\",\"1\",\"546\",\"0\"],[\"7\",\"7\",\"190\",\"425\",\"4\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"1\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"624\",\"0\",\"3\",\"627\",\"0\"],[\"8\",\"8\",\"283\",\"590\",\"5\",\"0\",\"1\",\"0\",\"1\",\"0\",\"1\",\"1\",\"1\",\"0\",\"1\",\"1\",\"0\",\"0\",\"1\",\"2\",\"0\",\"2\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"891\",\"0\",\"10\",\"901\",\"0\"]]}", "predicted": "{\"columns\":[\"Serial No. Of Polling Station\",null,\"UDIT RAJ\",\"YOGENDER CHANDOLIYA\",\"VIJAY BAUDDH\",\"K M KAJAL\",\"ADV. KRUPAL\",\"KHILKHILAKAR\",\"NAND RAM BAGRI\",\"NARESH KUMAR\",\"POOJA (BHAGTANI)\",\"PRAVEEN GAUTAM\",\"PREETI\",\"ADVOCATE DR. MAHENDER SINGH CHURIYANA\",\"RAJENDER SOOD\",\"SHYAM BHARTEEY\",\"ADVOCATE SATISH CHANDRA\",\"SUBHASH\",\"SURESH KUMAR\",\"SANJAY KUMAR SIWAL\",\"ADITI\",\"CHANDER PAL SONI\",\"NARESH KUMAR\",\"PARMENDRA MANJHI\",\"PUSHPA NAGRA\",\"PRADEEP KUMAR\",\"SATYA PRAKASH UTTRAKHANDI\",\"HARI KISHAN (MECHANIC)\",\"Total of Valid Votes\",\"No. Of Rejected Votes\",\"Votes for NOTA\",\"Total\",\"No. Of Tendered Votes\"],\"rows\":[[\"1\",\"1\",\"157\",\"272\",\"2\",\"2\",\"0\",\"1\",\"2\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"2\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"440\",\"0\",\"3\",\"443\",\"0\"],[\"2\",\"2\",\"267\",\"478\",\"2\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"1\",\"0\",\"2\",\"0\",\"1\",\"1\",\"0\",\"0\",\"0\",\"1\",\"0\",\"756\",\"0\",\"8\",\"764\",\"0\"],[\"3\",\"3\",\"235\",\"472\",\"3\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"1\",\"0\",\"3\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"718\",\"0\",\"6\",\"724\",\"0\"],[\"4\",\"4\",\"183\",\"461\",\"2\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"647\",\"0\",\"16\",\"663\",\"0\"],[\"5\",\"5\",\"302\",\"562\",\"3\",\"2\",\"0\",\"0\",\"0\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"1\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"875\",\"0\",\"7\",\"882\",\"0\"],[\"6\",\"6\",\"156\",\"383\",\"3\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"545\",\"0\",\"1\",\"546\",\"0\"],[\"7\",\"7\",\"190\",\"425\",\"4\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"1\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"624\",\"0\",\"3\",\"627\",\"0\"],[\"8\",\"8\",\"283\",\"590\",\"5\",\"0\",\"1\",\"0\",\"1\",\"0\",\"1\",\"1\",\"1\",\"0\",\"1\",\"1\",\"0\",\"0\",\"1\",\"2\",\"0\",\"2\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"891\",\"0\",\"10\",\"901\",\"0\"]]}", "correct": false, "input_tokens": 1281, "output_tokens": 5993, "elapsed_seconds": 51.118116084020585, "metadata": {"question": "{\"question\": \"Extract the election-results table from this image. Return only a valid JSON object with this structure:\\n\\n{\\n \\\"columns\\\": [],\\n \\\"rows\\\": []\\n}\\n\\nReturn every leaf column left-to-right, including row identifiers, candidate names and summary columns. Join multi-line column headings with spaces; omit shared spanning headings. Use null for a leaf column without its own heading; do not invent or duplicate a spanning heading. Return rows as arrays of cells aligned with columns, top-to-bottom, including any printed total rows. Preserve zeros, identifiers and printed symbols; use null for blank or unreadable cells, never 0. Do not calculate totals or fill values from neighboring cells. Each row must contain exactly one cell per column.\\n\\nPreserve text as printed or handwritten, joining line breaks within a field with spaces. Do not infer missing information or translate. Include every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "afe8b03e5dfde69fc7313008c87e5c31d3cd7aa0ea91391a00f6fd754700f324", "category": "structured", "subset": "632de14cb0143303", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "62552f487d368913658d3f8a38e0c0779d12052911fed57e1482fdac787c462d", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the election-results table from this image. Return only a valid JSON object with this structure:\n\n{\n \"columns\": [],\n \"rows\": []\n}\n\nReturn every leaf column left-to-right, including row identifiers, candidate names and summary columns. Join multi-line column headings with spaces; omit shared spanning headings. Use null for a leaf column without its own heading; do not invent or duplicate a spanning heading. Return rows as arrays of cells aligned with columns, top-to-bottom, including any printed total rows. Preserve zeros, identifiers and printed symbols; use null for blank or unreadable cells, never 0. Do not calculate totals or fill values from neighboring cells. Each row must contain exactly one cell per column.\n\nPreserve text as printed or handwritten, joining line breaks within a field with spaces. Do not infer missing information or translate. Include every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 0.9966, "status": "ok", "format_compliant": true, "matched_fields": 296, "reference_fields": 297, "predicted_fields": 297, "non_null_field_accuracy": 1.0, "object_exact_match": false, "attempts": 1, "retries": 0, "total_seconds": 51.1745}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 539, "image": "image_614c63d63474f16127c8387b_jpg.rf.042b6f3f94dbfd1b332fa1019ba0352f.jpg", "expected": "{\"issuing_authority\":\"TUZLA BELED\u0130YES\u0130\",\"approval_date\":\"12/02/2025\",\"document_number\":\"30/25\",\"permit_purpose\":\"Yap\u0131 Kullanma \u0130zni\",\"map_sheet_number\":null,\"block_number\":\"0\",\"parcel_number\":\"8226\",\"building_block_number\":\"P\",\"building_class\":\"III\",\"building_group\":\"B\",\"floors_below_road\":\"2\",\"floors_above_road\":\"4\",\"total_floors\":\"6\",\"building_construction_area\":\"5084,53\",\"all_buildings_construction_area\":\"71602,12\"}", "predicted": "{\n \"issuing_authority\": \"TUZLA BELED\u0130YES\u0130\",\n \"approval_date\": \"12/02/2025\",\n \"document_number\": \"30/25\",\n \"permit_purpose\": \"Yap\u0131 Kullanma \u0130zni\",\n \"map_sheet_number\": null,\n \"block_number\": \"0\",\n \"parcel_number\": \"8226\",\n \"building_block_number\": \"P\",\n \"building_class\": \"III\",\n \"building_group\": \"B\",\n \"floors_below_road\": \"2\",\n \"floors_above_road\": \"4\",\n \"total_floors\": \"6\",\n \"building_construction_area\": \"5084,53\",\n \"all_buildings_construction_area\": \"71602,12\"\n}", "correct": true, "input_tokens": 1477, "output_tokens": 1487, "elapsed_seconds": 16.561927875038236, "metadata": {"question": "{\"question\": \"Extract these identification and building fields from the building-use permit. Return only a valid JSON object with this structure:\\n\\n{\\n \\\"issuing_authority\\\": null,\\n \\\"approval_date\\\": null,\\n \\\"document_number\\\": null,\\n \\\"permit_purpose\\\": null,\\n \\\"map_sheet_number\\\": null,\\n \\\"block_number\\\": null,\\n \\\"parcel_number\\\": null,\\n \\\"building_block_number\\\": null,\\n \\\"building_class\\\": null,\\n \\\"building_group\\\": null,\\n \\\"floors_below_road\\\": null,\\n \\\"floors_above_road\\\": null,\\n \\\"total_floors\\\": null,\\n \\\"building_construction_area\\\": null,\\n \\\"all_buildings_construction_area\\\": null\\n}\\n\\nUse approval date and document number from Belgenin onay tarihi and Belge no, not earlier construction licences. permit_purpose is the selected option under Belgenin verili\u015f amac\u0131. Map cadastral identifiers from Pafta No, Ada No, Parsel No and Blok No. Keep Yap\u0131 in\u015faat alan\u0131 separate from Toplam yap\u0131 in\u015faat alan\u0131; do not substitute the permitted-part area. Omit printed area units; preserve numeric separators and dates.\\n\\nFor handwritten entries completed on preprinted date templates, include the printed year prefix. Treat standalone asterisks, dashes and dotted placeholders as null; retain punctuation within actual document numbers.\\n\\nPreserve the text as written; join line breaks within a field with spaces. Do not infer missing information or translate. Use strings for extracted values and null for missing or unreadable fields. Include every key. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "5aa3438976effa400e4af2df36130bbda3b84e37735ac635fb43e5adbfa22ef6", "category": "structured", "subset": "1ced26f23029a4b6", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "74cb88355e9a6e5b7416a61153bd2711665c362f38b45b8b89b327bcd39ec6b7", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract these identification and building fields from the building-use permit. Return only a valid JSON object with this structure:\n\n{\n \"issuing_authority\": null,\n \"approval_date\": null,\n \"document_number\": null,\n \"permit_purpose\": null,\n \"map_sheet_number\": null,\n \"block_number\": null,\n \"parcel_number\": null,\n \"building_block_number\": null,\n \"building_class\": null,\n \"building_group\": null,\n \"floors_below_road\": null,\n \"floors_above_road\": null,\n \"total_floors\": null,\n \"building_construction_area\": null,\n \"all_buildings_construction_area\": null\n}\n\nUse approval date and document number from Belgenin onay tarihi and Belge no, not earlier construction licences. permit_purpose is the selected option under Belgenin verili\u015f amac\u0131. Map cadastral identifiers from Pafta No, Ada No, Parsel No and Blok No. Keep Yap\u0131 in\u015faat alan\u0131 separate from Toplam yap\u0131 in\u015faat alan\u0131; do not substitute the permitted-part area. Omit printed area units; preserve numeric separators and dates.\n\nFor handwritten entries completed on preprinted date templates, include the printed year prefix. Treat standalone asterisks, dashes and dotted placeholders as null; retain punctuation within actual document numbers.\n\nPreserve the text as written; join line breaks within a field with spaces. Do not infer missing information or translate. Use strings for extracted values and null for missing or unreadable fields. Include every key. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 15, "reference_fields": 15, "predicted_fields": 15, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 16.6116}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 540, "image": "image_0bf3885975387658b7964dcb_jpg.rf.2ab1b34ed5bcf0b93041abb022beddbf.jpg", "expected": "0.118", "predicted": "0.118", "correct": true, "input_tokens": 1167, "output_tokens": 432, "elapsed_seconds": 8.784073124988936, "metadata": {"question": "{\"question\": \"Read the weight shown on the digital scale in this image. Return only the numeric reading, preserving the decimal separator and any minus sign. Do not include units or explain.\", \"task\": \"single_string\"}", "sample_id": "05f6a2df85c1b9ec32a8260eb7d6f8f1ed028edb2aa12cd506b17e349b168157", "category": "single_string", "subset": "2230d8632391d9a6", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "82cbac4f070503e046badb52e35ed34334d74f1b36dc5442b070d15cbfabb896", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the weight shown on the digital scale in this image. Return only the numeric reading, preserving the decimal separator and any minus sign. Do not include units or explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 8.8864}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 541, "image": "image_da5d052831d1da3125a37b20_jpg.rf.eab354ee1f9e3214cac29d1556923e2a.jpg", "expected": "{\"validity_period\":null,\"offers\":[{\"product_name\":\"POMODORO SAN MARZANO DOP SAPORI&DINTORNI CONAD\",\"price\":\"1,29 \u20ac\",\"price_basis\":null},{\"product_name\":\"PESTO FRESCO ALLA GENOVESE SAPORI&DINTORNI CONAD con basilico genovese dop\",\"price\":\"2,19 \u20ac\",\"price_basis\":null},{\"product_name\":\"BURRATA PUGLIESE SAPORI&DINTORNI CONAD lavorata a mano\",\"price\":\"2,75 \u20ac\",\"price_basis\":null},{\"product_name\":\"POMODORO CAMONE SAPORI&DINTORNI CONAD origine Italia, categoria I\",\"price\":\"1,79 \u20ac\",\"price_basis\":null},{\"product_name\":\"LINEA LEGUMI E CEREALI SAPORI&DINTORNI\",\"price\":null,\"price_basis\":null},{\"product_name\":\"VINO BARBARESCO DOCG TERREDAVINO\",\"price\":\"10,49 \u20ac\",\"price_basis\":null},{\"product_name\":\"OLIVE TAGGIASCHE CITRES in olio\",\"price\":\"2,59 \u20ac\",\"price_basis\":null}]}", "predicted": "{\"validity_period\": null, \"offers\": [{\"product_name\": \"POMODORO SAN MARZANO DOP SAPORI&DINTORNI CONAD\", \"price\": \"1,29 \u20ac\", \"price_basis\": null}, {\"product_name\": \"PESTO FRESCO ALLA GENOVESE SAPORI&DINTORNI CONAD\", \"price\": \"2,19 \u20ac\", \"price_basis\": null}, {\"product_name\": \"BURRATA PUGLIESE SAPORI&DINTORNI CONAD\", \"price\": \"2,75 \u20ac\", \"price_basis\": null}, {\"product_name\": \"POMODORO CAMONE SAPORI&DINTORNI CONAD\", \"price\": \"1,79 \u20ac\", \"price_basis\": null}, {\"product_name\": \"LINEA LEGUMI E CEREALI SAPORI&DINTORNI\", \"price\": null, \"price_basis\": null}, {\"product_name\": \"VINO BARBARESCO DOCG TERREDAVINO\", \"price\": \"10,49 \u20ac\", \"price_basis\": null}, {\"product_name\": \"OLIVE TAGGIASCHE CITRES\", \"price\": \"2,59 \u20ac\", \"price_basis\": null}]}", "correct": false, "input_tokens": 1428, "output_tokens": 1572, "elapsed_seconds": 15.853155249962583, "metadata": {"question": "{\"question\": \"Extract the information printed on this retail leaflet page. Return only a valid JSON object with this structure:\\n\\n{\\n \\\"validity_period\\\": null,\\n \\\"offers\\\": [\\n {\\n \\\"product_name\\\": null,\\n \\\"price\\\": null,\\n \\\"price_basis\\\": null\\n }\\n ]\\n}\\n\\nReturn product blocks in visual rows, left-to-right. Use the printed product description, excluding variant lists and text only on pictured packaging. Include a separately printed brand above the description only if not already named there.\\n\\nUse the prominent advertised price, not previous or comparison prices. Join raised cents with a decimal comma; place any printed currency after the amount with one space (e.g., \u20ac4\u2079\u2079 \u2192 4,99 \u20ac). Do not infer currency or calculate prices. Keep ply counts in product_name. Put the selling basis in price_basis (al kg \u2192 /kg, al pz \u2192 /pz, confezione \u2192 confezione).\\n\\nUse only page-wide validity dates, without weekdays; an end-only date is allowed. Exclude unrestricted marketing slogans. Discount-only offers have price:null.\\n\\nPreserve text as printed, joining line breaks within a field with spaces. Do not infer missing information or translate. Include every key. Use strings for extracted values and null for missing or unreadable values; retain arrays as arrays. Return empty arrays when there are no entries. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "32eaa06b9b44c70763c04956b4332c263e1ff6e34c1975b4aeaccf6e139c696a", "category": "structured", "subset": "660e48d305d84282", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "6b0047daa6bf4eb9eec31a80c34adad2f8d1bfda92763253969f3cf328374164", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on this retail leaflet page. Return only a valid JSON object with this structure:\n\n{\n \"validity_period\": null,\n \"offers\": [\n {\n \"product_name\": null,\n \"price\": null,\n \"price_basis\": null\n }\n ]\n}\n\nReturn product blocks in visual rows, left-to-right. Use the printed product description, excluding variant lists and text only on pictured packaging. Include a separately printed brand above the description only if not already named there.\n\nUse the prominent advertised price, not previous or comparison prices. Join raised cents with a decimal comma; place any printed currency after the amount with one space (e.g., \u20ac4\u2079\u2079 \u2192 4,99 \u20ac). Do not infer currency or calculate prices. Keep ply counts in product_name. Put the selling basis in price_basis (al kg \u2192 /kg, al pz \u2192 /pz, confezione \u2192 confezione).\n\nUse only page-wide validity dates, without weekdays; an end-only date is allowed. Exclude unrestricted marketing slogans. Discount-only offers have price:null.\n\nPreserve text as printed, joining line breaks within a field with spaces. Do not infer missing information or translate. Include every key. Use strings for extracted values and null for missing or unreadable values; retain arrays as arrays. Return empty arrays when there are no entries. Do not include explanations or Markdown.", "match_method": "structured", "score": 0.8182, "status": "ok", "format_compliant": true, "matched_fields": 18, "reference_fields": 22, "predicted_fields": 22, "non_null_field_accuracy": 0.6923076923076923, "object_exact_match": false, "attempts": 1, "retries": 0, "total_seconds": 15.8945}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 542, "image": "image_c53ef46b79c3518d29d7eb57_png_jpg.rf.2cc01ff64cf75675d77501d6d6749bae.jpg", "expected": "{\"columns\":[null,null,\"UDIT RAJ\",\"YOGENDER CHANDOLIYA\",\"VIJAY BAUDDH\",\"K M KAJAL\",\"ADV. KRUPAL\",\"KHILKHILAKAR\",\"NAND RAM BAGRI\",\"NARESH KUMAR\",\"POOJA (BHAGTANI)\",\"PRAVEEN GAUTAM\",\"PREETI\",\"ADVOCATE DR. MAHENDER SINGH CHURIYANA\",\"RAJENDER SOOD\",\"SHYAM BHARTEEY\",\"ADVOCATE SATISH CHANDRA\",\"SUBHASH\",\"SURESH KUMAR\",\"SANJAY KUMAR SIWAL\",\"ADITI\",\"CHANDER PAL SONI\",\"NARESH KUMAR\",\"PARMENDRA MANJHI\",\"PUSHPA NAGRA\",\"PRADEEP KUMAR\",\"SATYA PRAKASH UTTRAKHANDI\",\"HARI KISHAN (MECHANIC)\",\"Total of Valid Votes\",\"No. Of Rejected Votes\",\"Votes for NOTA\",\"Total\",\"No. Of Tendered Votes\"],\"rows\":[[\"241\",\"241\",\"193\",\"314\",\"5\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"2\",\"1\",\"1\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"518\",\"0\",\"1\",\"519\",\"0\"],[\"242\",\"242\",\"192\",\"376\",\"6\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"1\",\"0\",\"0\",\"0\",\"1\",\"1\",\"2\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"583\",\"0\",\"3\",\"586\",\"0\"],[\"243\",\"243\",\"290\",\"409\",\"12\",\"1\",\"1\",\"0\",\"1\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"2\",\"4\",\"0\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"724\",\"0\",\"6\",\"730\",\"0\"],[\"244\",\"244\",\"233\",\"392\",\"12\",\"1\",\"1\",\"1\",\"2\",\"0\",\"0\",\"1\",\"0\",\"2\",\"0\",\"1\",\"0\",\"0\",\"2\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"651\",\"0\",\"4\",\"655\",\"0\"],[\"245\",\"245\",\"283\",\"432\",\"8\",\"0\",\"2\",\"1\",\"0\",\"0\",\"1\",\"0\",\"0\",\"2\",\"0\",\"3\",\"0\",\"1\",\"2\",\"2\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"738\",\"0\",\"2\",\"740\",\"0\"],[\"246\",\"246\",\"294\",\"494\",\"21\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"1\",\"3\",\"0\",\"1\",\"2\",\"1\",\"2\",\"0\",\"2\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"825\",\"0\",\"3\",\"828\",\"0\"],[\"247\",\"247\",\"374\",\"318\",\"6\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"2\",\"1\",\"2\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"708\",\"0\",\"3\",\"711\",\"0\"],[\"248\",\"248\",\"264\",\"536\",\"11\",\"0\",\"1\",\"0\",\"0\",\"2\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"1\",\"0\",\"0\",\"4\",\"0\",\"0\",\"0\",\"0\",\"0\",\"822\",\"0\",\"4\",\"826\",\"0\"]]}", "predicted": "{\"columns\":[\"Serial No. Of Polling Station\",null,\"UDIT RAJ\",\"YOGENDER CHANDOLIYA\",\"VIJAY BAUDDH\",\"K M KAJAL\",\"ADV. KRUPAL\",\"KHILKHILAKAR\",\"NAND RAM BAGRI\",\"NARESH KUMAR\",\"POOJA (BHAGTANI)\",\"PRAVEEN GAUTAM\",\"PREETI\",\"ADVOCATE DR. MAHENDER SINGH CHURIYANA\",\"RAJENDER SOOD\",\"SHYAM BHARTEEY\",\"ADVOCATE SATISH CHANDRA\",\"SUBHASH\",\"SURESH KUMAR\",\"SANJAY KUMAR SIWAL\",\"ADITI\",\"CHANDER PAL SONI\",\"NARESH KUMAR\",\"PARMENDRA MANJHI\",\"PUSHPA NAGRA\",\"PRADEEP KUMAR\",\"SATYA PRAKASH UTTRAKHANDI\",\"HARI KISHAN (MECHANIC)\",\"Total of Valid Votes\",\"No. Of Rejected Votes\",\"Votes for NOTA\",\"Total\",\"No. Of Tendered Votes\"],\"rows\":[[\"241\",\"241\",\"193\",\"314\",\"5\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"2\",\"1\",\"1\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"518\",\"0\",\"1\",\"519\",\"0\"],[\"242\",\"242\",\"192\",\"376\",\"6\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"1\",\"0\",\"0\",\"0\",\"1\",\"1\",\"2\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"583\",\"0\",\"3\",\"586\",\"0\"],[\"243\",\"243\",\"290\",\"409\",\"12\",\"1\",\"1\",\"0\",\"1\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"2\",\"4\",\"0\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"724\",\"0\",\"6\",\"730\",\"0\"],[\"244\",\"244\",\"233\",\"392\",\"12\",\"1\",\"1\",\"1\",\"2\",\"0\",\"0\",\"1\",\"0\",\"2\",\"0\",\"1\",\"0\",\"0\",\"2\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"651\",\"0\",\"4\",\"655\",\"0\"],[\"245\",\"245\",\"283\",\"432\",\"8\",\"0\",\"2\",\"1\",\"0\",\"0\",\"1\",\"0\",\"0\",\"2\",\"0\",\"3\",\"0\",\"1\",\"2\",\"2\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"738\",\"0\",\"2\",\"740\",\"0\"],[\"246\",\"246\",\"294\",\"494\",\"21\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"1\",\"3\",\"0\",\"1\",\"2\",\"1\",\"2\",\"0\",\"2\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"825\",\"0\",\"3\",\"828\",\"0\"],[\"247\",\"247\",\"374\",\"318\",\"6\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"2\",\"1\",\"2\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"708\",\"0\",\"3\",\"711\",\"0\"],[\"248\",\"248\",\"264\",\"536\",\"11\",\"0\",\"1\",\"0\",\"0\",\"2\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"1\",\"0\",\"0\",\"4\",\"0\",\"0\",\"0\",\"0\",\"0\",\"822\",\"0\",\"4\",\"826\",\"0\"]]}", "correct": false, "input_tokens": 1281, "output_tokens": 4558, "elapsed_seconds": 41.621167042059824, "metadata": {"question": "{\"question\": \"Extract the election-results table from this image. Return only a valid JSON object with this structure:\\n\\n{\\n \\\"columns\\\": [],\\n \\\"rows\\\": []\\n}\\n\\nReturn every leaf column left-to-right, including row identifiers, candidate names and summary columns. Join multi-line column headings with spaces; omit shared spanning headings. Use null for a leaf column without its own heading; do not invent or duplicate a spanning heading. Return rows as arrays of cells aligned with columns, top-to-bottom, including any printed total rows. Preserve zeros, identifiers and printed symbols; use null for blank or unreadable cells, never 0. Do not calculate totals or fill values from neighboring cells. Each row must contain exactly one cell per column.\\n\\nPreserve text as printed or handwritten, joining line breaks within a field with spaces. Do not infer missing information or translate. Include every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "5a920086d972fa99d030e924d98c27c7231d1252b8d846a453901c78373255cf", "category": "structured", "subset": "632de14cb0143303", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "12e800a4f1bc279a642579a93e407f1a636b74a40199cd8ab85f4af6e8b5eed6", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the election-results table from this image. Return only a valid JSON object with this structure:\n\n{\n \"columns\": [],\n \"rows\": []\n}\n\nReturn every leaf column left-to-right, including row identifiers, candidate names and summary columns. Join multi-line column headings with spaces; omit shared spanning headings. Use null for a leaf column without its own heading; do not invent or duplicate a spanning heading. Return rows as arrays of cells aligned with columns, top-to-bottom, including any printed total rows. Preserve zeros, identifiers and printed symbols; use null for blank or unreadable cells, never 0. Do not calculate totals or fill values from neighboring cells. Each row must contain exactly one cell per column.\n\nPreserve text as printed or handwritten, joining line breaks within a field with spaces. Do not infer missing information or translate. Include every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 0.9966, "status": "ok", "format_compliant": true, "matched_fields": 296, "reference_fields": 297, "predicted_fields": 297, "non_null_field_accuracy": 1.0, "object_exact_match": false, "attempts": 4, "retries": 3, "total_seconds": 237.3794, "transient_errors": ["RemoteProtocolError", "RemoteProtocolError", "RemoteProtocolError"]}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 543, "image": "image_8f0e816d2938e480d8eacd5c_jpg.rf.196696778d53e7318409bcd7614c59ee.jpg", "expected": "37", "predicted": "57", "correct": false, "input_tokens": 1152, "output_tokens": 1609, "elapsed_seconds": 25.39523033401929, "metadata": {"question": "{\"question\": \"Read the house number on the address plate in this image. Return only the number, including any letters, hyphens, or slashes. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "c4ccfd01604c57bed50fc3aec5529733d42a14813cf047f590e9007a5eddd5a8", "category": "single_string", "subset": "4788f963011764ba", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "0581bb4586f5fa6aaaa2f56c70e1f0a0789ec9e21a4613548b2f5f8bec1fa5db", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the house number on the address plate in this image. Return only the number, including any letters, hyphens, or slashes. Do not explain.", "match_method": "single_string", "score": 0.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 25.4294}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 544, "image": "image_ca5eaab8c7bb412863c5cafd_jpg.rf.8fb2470c7dcdefe2436c4a742e1b0cf8.jpg", "expected": "241013", "predicted": "241013", "correct": true, "input_tokens": 1148, "output_tokens": 819, "elapsed_seconds": 12.281689957948402, "metadata": {"question": "{\"question\": \"Read the six-digit code engraved on the metal surface. Return only the code as a string of digits, preserving leading zeros. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "23f0e060d977baeb7aa1d2ea0338bf78fe9b1935068f86d9f37fe2d6e51b4341", "category": "single_string", "subset": "f2a87f15a0d3eb96", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "f5147488fd196afc0b1bcb4c23d3248b830ed451a3fea40b14d13d620e5935d9", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the six-digit code engraved on the metal surface. Return only the code as a string of digits, preserving leading zeros. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 12.2984}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 545, "image": "image_46e2dd581c5b60f2987980fc_jpg.rf.e3dfd98bdb1068e010f21dbdc3753911.jpg", "expected": "[{\"bbox\":[161,91,241,103],\"text\":\"PosterJam\"},{\"bbox\":[392,91,471,105],\"text\":\"Challenge\"},{\"bbox\":[237,345,318,368],\"text\":\"great\"},{\"bbox\":[237,370,332,395],\"text\":\"shape!\"},{\"bbox\":[161,539,269,551],\"text\":\"Studio Fluid\"},{\"bbox\":[401,539,470,551],\"text\":\"November\"}]", "predicted": "[{\"box_2d\": [141, 251, 161, 376], \"text\": \"PosterJam\"}, {\"box_2d\": [141, 611, 164, 736], \"text\": \"Challenge\"}, {\"box_2d\": [534, 369, 573, 498], \"text\": \"great\"}, {\"box_2d\": [577, 370, 616, 519], \"text\": \"shape!\"}, {\"box_2d\": [840, 251, 861, 419], \"text\": \"Studio Fluid\"}, {\"box_2d\": [840, 625, 861, 736], \"text\": \"November\"}]", "correct": true, "input_tokens": 1327, "output_tokens": 927, "elapsed_seconds": 10.629015458980575, "metadata": {"question": "{\"question\": \"Locate and transcribe visible text on the poster.\", \"specification\": \"Use one box per text line; keep separate words or letter groups on strongly curved paths in separate boxes. Include rotated text. Exclude decorative shapes, photographs and non-text graphics. Return plain text, not LaTeX.\\n\\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\", \"task\": \"localization_recognition\"}", "sample_id": "592322065beb8f0df61542e829103a2b59b2ae876fd98d84062209cad2628327", "category": "localization_recognition", "subset": "a0ebbce28fa5095a", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "9ee747f3c8a0ae8519d1bc3bc29f0aba29c0106c8c6cd19abda0d1670714ac23", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe visible text on the poster.\n\nUse one box per text line; keep separate words or letter groups on strongly curved paths in separate boxes. Include rotated text. Exclude decorative shapes, photographs and non-text graphics. Return plain text, not LaTeX.\n\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 1.0, "status": "ok", "format_compliant": true, "detection_f1": 1.0, "matched_regions": 6, "reference_regions": 6, "predicted_regions": 6, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 10.6449}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 546, "image": "image_7b171f6ece883d2156c55660_png_jpg.rf.7326c75148e3829938317b50a7473831.jpg", "expected": "{\"columns\":[null,null,\"UDIT RAJ\",\"YOGENDER CHANDOLIYA\",\"VIJAY BAUDDH\",\"K M KAJAL\",\"ADV. KRUPAL\",\"KHILKHILAKAR\",\"NAND RAM BAGRI\",\"NARESH KUMAR\",\"POOJA (BHAGTANI)\",\"PRAVEEN GAUTAM\",\"PREETI\",\"ADVOCATE DR. MAHENDER SINGH CHURIYANA\",\"RAJENDER SOOD\",\"SHYAM BHARTEEY\",\"ADVOCATE SATISH CHANDRA\",\"SUBHASH\",\"SURESH KUMAR\",\"SANJAY KUMAR SIWAL\",\"ADITI\",\"CHANDER PAL SONI\",\"NARESH KUMAR\",\"PARMENDRA MANJHI\",\"PUSHPA NAGRA\",\"PRADEEP KUMAR\",\"SATYA PRAKASH UTTRAKHANDI\",\"HARI KISHAN (MECHANIC)\",\"Total of Valid Votes\",\"No. Of Rejected Votes\",\"Votes for NOTA\",\"Total\",\"No. Of Tendered Votes\"],\"rows\":[[\"61\",\"61\",\"154\",\"586\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"1\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"745\",\"0\",\"14\",\"759\",\"0\"],[\"62\",\"62\",\"145\",\"441\",\"5\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"592\",\"0\",\"6\",\"598\",\"0\"],[\"63\",\"63\",\"127\",\"527\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"659\",\"0\",\"12\",\"671\",\"0\"],[\"64\",\"64\",\"161\",\"543\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"709\",\"0\",\"9\",\"718\",\"0\"],[\"65\",\"65\",\"235\",\"469\",\"4\",\"1\",\"1\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"1\",\"1\",\"2\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"716\",\"0\",\"6\",\"722\",\"0\"],[\"66\",\"66\",\"124\",\"318\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"444\",\"0\",\"8\",\"452\",\"0\"],[\"67\",\"67\",\"231\",\"503\",\"1\",\"0\",\"1\",\"1\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"738\",\"0\",\"10\",\"748\",\"0\"],[\"68\",\"68\",\"164\",\"597\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"1\",\"2\",\"1\",\"0\",\"0\",\"0\",\"0\",\"767\",\"0\",\"11\",\"778\",\"0\"]]}", "predicted": "{\"columns\":[\"Serial No. Of Polling Station\",null,\"UDIT RAJ\",\"YOGENDER CHANDOLIYA\",\"VIJAY BAUDDH\",\"K M KAJAL\",\"ADV. KRUPAL\",\"KHILKHILAKAR\",\"NAND RAM BAGRI\",\"NARESH KUMAR\",\"POOJA (BHAGTANI)\",\"PRAVEEN GAUTAM\",\"PREETI\",\"ADVOCATE DR. MAHENDER SINGH CHURIYANA\",\"RAJENDER SOOD\",\"SHYAM BHARTEEY\",\"ADVOCATE SATISH CHANDRA\",\"SUBHASH\",\"SURESH KUMAR\",\"SANJAY KUMAR SIWAL\",\"ADITI\",\"CHANDER PAL SONI\",\"NARESH KUMAR\",\"PARMENDRA MANJHI\",\"PUSHPA NAGRA\",\"PRADEEP KUMAR\",\"SATYA PRAKASH UTTRAKHANDI\",\"HARI KISHAN (MECHANIC)\",\"Total of Valid Votes\",\"No. Of Rejected Votes\",\"Votes for NOTA\",\"Total\",\"No. Of Tendered Votes\"],\"rows\":[[\"61\",\"61\",\"154\",\"586\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"1\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"745\",\"0\",\"14\",\"759\",\"0\"],[\"62\",\"62\",\"145\",\"441\",\"5\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"592\",\"0\",\"6\",\"598\",\"0\"],[\"63\",\"63\",\"127\",\"527\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"659\",\"0\",\"12\",\"671\",\"0\"],[\"64\",\"64\",\"161\",\"543\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"709\",\"0\",\"9\",\"718\",\"0\"],[\"65\",\"65\",\"235\",\"469\",\"4\",\"1\",\"1\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"1\",\"1\",\"2\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"716\",\"0\",\"6\",\"722\",\"0\"],[\"66\",\"66\",\"124\",\"318\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"444\",\"0\",\"8\",\"452\",\"0\"],[\"67\",\"67\",\"231\",\"503\",\"1\",\"0\",\"1\",\"1\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"738\",\"0\",\"10\",\"748\",\"0\"],[\"68\",\"68\",\"164\",\"597\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"1\",\"2\",\"1\",\"0\",\"0\",\"0\",\"0\",\"767\",\"0\",\"11\",\"778\",\"0\"]]}", "correct": false, "input_tokens": 1270, "output_tokens": 6759, "elapsed_seconds": 53.950546415988356, "metadata": {"question": "{\"question\": \"Extract the election-results table from this image. Return only a valid JSON object with this structure:\\n\\n{\\n \\\"columns\\\": [],\\n \\\"rows\\\": []\\n}\\n\\nReturn every leaf column left-to-right, including row identifiers, candidate names and summary columns. Join multi-line column headings with spaces; omit shared spanning headings. Use null for a leaf column without its own heading; do not invent or duplicate a spanning heading. Return rows as arrays of cells aligned with columns, top-to-bottom, including any printed total rows. Preserve zeros, identifiers and printed symbols; use null for blank or unreadable cells, never 0. Do not calculate totals or fill values from neighboring cells. Each row must contain exactly one cell per column.\\n\\nPreserve text as printed or handwritten, joining line breaks within a field with spaces. Do not infer missing information or translate. Include every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "70c18cdb7280d3119ad00cf16212abca07ec6fd21da2f135409c6fbfcaa6ff32", "category": "structured", "subset": "632de14cb0143303", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "ded0613391f0d0099726a554a23c77c4b868a9df11a819098c56001bc8d0f997", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the election-results table from this image. Return only a valid JSON object with this structure:\n\n{\n \"columns\": [],\n \"rows\": []\n}\n\nReturn every leaf column left-to-right, including row identifiers, candidate names and summary columns. Join multi-line column headings with spaces; omit shared spanning headings. Use null for a leaf column without its own heading; do not invent or duplicate a spanning heading. Return rows as arrays of cells aligned with columns, top-to-bottom, including any printed total rows. Preserve zeros, identifiers and printed symbols; use null for blank or unreadable cells, never 0. Do not calculate totals or fill values from neighboring cells. Each row must contain exactly one cell per column.\n\nPreserve text as printed or handwritten, joining line breaks within a field with spaces. Do not infer missing information or translate. Include every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 0.9966, "status": "ok", "format_compliant": true, "matched_fields": 296, "reference_fields": 297, "predicted_fields": 297, "non_null_field_accuracy": 1.0, "object_exact_match": false, "attempts": 1, "retries": 0, "total_seconds": 54.0066}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 547, "image": "image_06641d76383b72f5a220dc49_jpg.rf.4af84c804afe06f29bfc66098f3a723d.jpg", "expected": "23", "predicted": "I am unable to read the jersey number as the image is too pixelated and blurry to discern any digits. Please provide a clearer image.", "correct": false, "input_tokens": 1146, "output_tokens": 304, "elapsed_seconds": 6.337471417034976, "metadata": {"question": "{\"question\": \"Read the basketball jersey number visible in this image. Return only the number as a string of digits. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "8b33d4d31c9b2a6121c1d8fe831357d8b694609edab1acfd8d60fa6784e840f4", "category": "single_string", "subset": "c88e91da6c946745", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "17d4b81c3319753febd3f33535668cf19e74ed38448e2d14ca29f148c3ea4f1d", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the basketball jersey number visible in this image. Return only the number as a string of digits. Do not explain.", "match_method": "single_string", "score": 0.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 6.3429}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 548, "image": "image_6818d92a5387c9a354cfac46_jpg.rf.3e3ff65d745c513b74a239c30ddd7ef0.jpg", "expected": "{\"application_id\":\"56781024\",\"application_date\":\"24032002\",\"product_type\":\"Home Equity\",\"tenure_months\":\"120\",\"loan_amount\":\"340060239\",\"applicant_name\":\"NANDA PAVAN KUMAR\",\"birth_date\":\"24032002\",\"current_address\":\"ABHILASHA PG FLAT NO 408 BELLANDUR 560103 BENGALURU\",\"current_city\":\"GUNTUR\",\"current_state\":\"ANDHRA PRADESH\",\"current_postal_code\":\"500027\",\"current_mobile\":\"9912423789\",\"pan_number\":\"LIIPL0555E7\"}", "predicted": "{\n \"application_id\": \"56781024\",\n \"application_date\": \"24032002\",\n \"product_type\": \"Home Equity\",\n \"tenure_months\": \"120\",\n \"loan_amount\": \"340000230\",\n \"applicant_name\": \"NANDA PAVAN KUMAR\",\n \"birth_date\": \"24032002\",\n \"current_address\": \"ABHILASHA PG FLAT NO 408 BELLANDUR 560103 BENGALURU\",\n \"current_city\": \"GUNTUR\",\n \"current_state\": \"ANDARA PRADESH\",\n \"current_postal_code\": \"500027\",\n \"current_mobile\": \"9912423789\",\n \"pan_number\": \"LIIPL0555E7\"\n}", "correct": false, "input_tokens": 1432, "output_tokens": 3355, "elapsed_seconds": 34.63753116701264, "metadata": {"question": "{\"question\": \"Extract the completed applicant and loan fields from this loan application. Return only a valid JSON object with this structure:\\n\\n{\\n \\\"application_id\\\": null,\\n \\\"application_date\\\": null,\\n \\\"product_type\\\": null,\\n \\\"tenure_months\\\": null,\\n \\\"loan_amount\\\": null,\\n \\\"applicant_name\\\": null,\\n \\\"birth_date\\\": null,\\n \\\"current_address\\\": null,\\n \\\"current_city\\\": null,\\n \\\"current_state\\\": null,\\n \\\"current_postal_code\\\": null,\\n \\\"current_mobile\\\": null,\\n \\\"pan_number\\\": null\\n}\\n\\nUse Application ID No., not Application Form No. Read the current address, not the permanent address. Remove spaces between character boxes in identifiers and numbers; retain word spaces in names and addresses. For product_type, copy the single checked option; use null if none or several are selected. Transcribe date-box contents as written without inventing separators, even if malformed. Keep leading zeros in numbers.\\n\\nPreserve spelling, capitalization and punctuation; join line breaks within a field with spaces. Do not infer, correct or translate. Ignore filler dashes in unused boxes. For current_address, include only Current Residence Address lines, excluding the separately labelled landmark, city, state and postal-code fields. Use strings for values and null for missing or unreadable fields. Include every key. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "19c8c7e8d7c2571be583c672f2dda2df0a3696c1bcc0bf79d4e1e629982189f4", "category": "structured", "subset": "320cb142e1839899", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "3143b3736b30b1812bd18a371753d7b94b157564acc0e866329b807ea269ebf8", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the completed applicant and loan fields from this loan application. Return only a valid JSON object with this structure:\n\n{\n \"application_id\": null,\n \"application_date\": null,\n \"product_type\": null,\n \"tenure_months\": null,\n \"loan_amount\": null,\n \"applicant_name\": null,\n \"birth_date\": null,\n \"current_address\": null,\n \"current_city\": null,\n \"current_state\": null,\n \"current_postal_code\": null,\n \"current_mobile\": null,\n \"pan_number\": null\n}\n\nUse Application ID No., not Application Form No. Read the current address, not the permanent address. Remove spaces between character boxes in identifiers and numbers; retain word spaces in names and addresses. For product_type, copy the single checked option; use null if none or several are selected. Transcribe date-box contents as written without inventing separators, even if malformed. Keep leading zeros in numbers.\n\nPreserve spelling, capitalization and punctuation; join line breaks within a field with spaces. Do not infer, correct or translate. Ignore filler dashes in unused boxes. For current_address, include only Current Residence Address lines, excluding the separately labelled landmark, city, state and postal-code fields. Use strings for values and null for missing or unreadable fields. Include every key. Do not include explanations or Markdown.", "match_method": "structured", "score": 0.8462, "status": "ok", "format_compliant": true, "matched_fields": 11, "reference_fields": 13, "predicted_fields": 13, "non_null_field_accuracy": 0.8461538461538461, "object_exact_match": false, "attempts": 1, "retries": 0, "total_seconds": 34.674}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 549, "image": "image_92ef045c63a9d16d078fd932_jpg.rf.a83d9a1b3ae62744b4953af71ea69391.jpg", "expected": "{\"recipient_name\":\"\u5c71\u672c\u6d69\",\"recipient_furigana\":\"\u9234\u6728\u592a\u90ce\",\"recipient_address\":\"\u9752\u68ee\u770c\u6a2a\u6d5c\u5e02\u65ed\u533a\u5929\u795e\u5cf636\u4e01\u76ee15\u756a16\u53f7\u65e5\u6bd4\u8c37\u516c\u5712\u30b3\u30fc\u30c8646\",\"recipient_position\":\"\u904b\u8ee2\u58eb\",\"salary_payment_amount\":\"71202079\",\"income_after_salary_deduction\":\"99779875\",\"total_income_deductions\":\"23735348\",\"withholding_tax\":null,\"payer_name\":\"\u77f3\u5ddd\u82b1\u5b50\",\"payer_address\":\"\u7e04\u770c\u798f\u751f\u5e02\u897f\u6d45\u834916\u4e01\u76ee11\u756a20\u53f7\u30b3\u30fc\u30dd\u524d\u5f25\u516d412\",\"payer_phone\":\"48-2360-3795\"}", "predicted": "{\n \"recipient_name\": \"\u5c71\u672c\u6d69\",\n \"recipient_furigana\": \"\u9234\u6728\u592a\u90ce\",\n \"recipient_address\": \"\u9752\u68ee\u770c\u6a2a\u6d5c\u5e02\u65ed\u533a\u5929\u795e\u5cf636\u4e01\u76ee15\u756a16\u53f7\u65e5\u6bd4\u8c37\u516c\u5712\u30b3\u30fc\u30c8646\",\n \"recipient_position\": \"\u904b\u8ee2\u58eb\",\n \"salary_payment_amount\": \"71202079\",\n \"income_after_salary_deduction\": \"99779875\",\n \"total_income_deductions\": \"23735348\",\n \"withholding_tax\": null,\n \"payer_name\": \"\u77f3\u5ddd\u82b1\u5b50\",\n \"payer_address\": \"\u7e04\u770c\u798f\u751f\u5e02\u897f\u6d45\u834916\u4e01\u76ee11\u756a20\u53f7\u30b3\u30fc\u30dd\u524d\u5f25\u516d412\",\n \"payer_phone\": \"48-2360-3795\"\n}", "correct": true, "input_tokens": 1418, "output_tokens": 1545, "elapsed_seconds": 17.1161347910529, "metadata": {"question": "{\"question\": \"Extract these fields from the Japanese salary withholding certificate. Return only a valid JSON object with this structure:\\n\\n{\\n \\\"recipient_name\\\": null,\\n \\\"recipient_furigana\\\": null,\\n \\\"recipient_address\\\": null,\\n \\\"recipient_position\\\": null,\\n \\\"salary_payment_amount\\\": null,\\n \\\"income_after_salary_deduction\\\": null,\\n \\\"total_income_deductions\\\": null,\\n \\\"withholding_tax\\\": null,\\n \\\"payer_name\\\": null,\\n \\\"payer_address\\\": null,\\n \\\"payer_phone\\\": null\\n}\\n\\nRecipient fields come from \u652f\u6255\u3092\u53d7\u3051\u308b\u8005; payer fields come from \u652f\u6255\u8005. Map amounts to \u652f\u6255\u91d1\u984d, \u7d66\u4e0e\u6240\u5f97\u63a7\u9664\u5f8c\u306e\u91d1\u984d, \u6240\u5f97\u63a7\u9664\u306e\u984d\u306e\u5408\u8a08\u984d and \u6e90\u6cc9\u5fb4\u53ce\u7a0e\u984d respectively. Join digits across adjacent boxes; omit printed currency/unit headings, preserving visible numeric separators. Copy furigana exactly even if it differs from the name; do not repair inconsistent entries.\\n\\nIgnore typographic spacing inside Japanese names, words and digit strings; join wrapped Japanese text without adding spaces. Use ASCII digits; preserve actual punctuation. Preserve other text as written. Do not infer missing information or translate. Use strings for extracted values and null for missing or unreadable fields. Include every key. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "eda97fc16f25602b5470f528e9eb73307dd7c20fb121991fc288d4cc1f0b0116", "category": "structured", "subset": "7536d2f054eb9bde", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "1f22dcc03f5ad2786ae80f0065978340c5b762b505ae0a129ead5c40d32ffe6e", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract these fields from the Japanese salary withholding certificate. Return only a valid JSON object with this structure:\n\n{\n \"recipient_name\": null,\n \"recipient_furigana\": null,\n \"recipient_address\": null,\n \"recipient_position\": null,\n \"salary_payment_amount\": null,\n \"income_after_salary_deduction\": null,\n \"total_income_deductions\": null,\n \"withholding_tax\": null,\n \"payer_name\": null,\n \"payer_address\": null,\n \"payer_phone\": null\n}\n\nRecipient fields come from \u652f\u6255\u3092\u53d7\u3051\u308b\u8005; payer fields come from \u652f\u6255\u8005. Map amounts to \u652f\u6255\u91d1\u984d, \u7d66\u4e0e\u6240\u5f97\u63a7\u9664\u5f8c\u306e\u91d1\u984d, \u6240\u5f97\u63a7\u9664\u306e\u984d\u306e\u5408\u8a08\u984d and \u6e90\u6cc9\u5fb4\u53ce\u7a0e\u984d respectively. Join digits across adjacent boxes; omit printed currency/unit headings, preserving visible numeric separators. Copy furigana exactly even if it differs from the name; do not repair inconsistent entries.\n\nIgnore typographic spacing inside Japanese names, words and digit strings; join wrapped Japanese text without adding spaces. Use ASCII digits; preserve actual punctuation. Preserve other text as written. Do not infer missing information or translate. Use strings for extracted values and null for missing or unreadable fields. Include every key. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 11, "reference_fields": 11, "predicted_fields": 11, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 2, "retries": 1, "total_seconds": 80.1882, "transient_errors": ["RemoteProtocolError"]}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 550, "image": "image_67a8a418cc68b301ce8957f8_jpg.rf.d801f66706ce4f9f28b592f108a3204f.jpg", "expected": "[{\"bbox\":[245,33,425,106],\"text\":\"INDIAN\"},{\"bbox\":[435,42,598,214],\"text\":\"CUISINE\"},{\"bbox\":[144,91,243,214],\"text\":\"EAST\"},{\"bbox\":[18,319,400,442],\"text\":\"SPICE\"},{\"bbox\":[417,323,733,445],\"text\":\"HUT\"}]", "predicted": "[{\"box_2d\": [58, 297, 177, 517], \"text\": \"INDIAN\"}, {\"box_2d\": [82, 535, 353, 731], \"text\": \"CUISINE\"}, {\"box_2d\": [154, 188, 349, 297], \"text\": \"EAST\"}, {\"box_2d\": [530, 22, 725, 485], \"text\": \"SPICE\"}, {\"box_2d\": [537, 514, 740, 895], \"text\": \"HUT\"}]", "correct": true, "input_tokens": 1296, "output_tokens": 1409, "elapsed_seconds": 17.271707917097956, "metadata": {"question": "{\"question\": \"Locate and transcribe all text on the signs in this image.\", \"specification\": \"Use one box per word or standalone number, including curved words in a single box. Exclude text outside the signs and purely graphical symbols. Return plain text, not LaTeX.\\n\\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\", \"task\": \"localization_recognition\"}", "sample_id": "a6316dac1755ca4f19c5ea2a1b90556addf5c24152bc42d833663afb7eebb721", "category": "localization_recognition", "subset": "21363697af554f8e", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "e61f69a31b38125160252c7e4dc03a5a5731ec1fcb9fe155f17659824c3aef33", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe all text on the signs in this image.\n\nUse one box per word or standalone number, including curved words in a single box. Exclude text outside the signs and purely graphical symbols. Return plain text, not LaTeX.\n\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 1.0, "status": "ok", "format_compliant": true, "detection_f1": 1.0, "matched_regions": 5, "reference_regions": 5, "predicted_regions": 5, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 17.3071}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 551, "image": "image_9dc5b92758140a32d442b5c1_jpg.rf.3379a2b5317fc6f44f06db23a5a3fb17.jpg", "expected": "{\"heat_number\":\"A81278\",\"billet_id\":\"1041\"}", "predicted": "{\n \"heat_number\": \"A81278\",\n \"billet_id\": \"1041\"\n}", "correct": true, "input_tokens": 1241, "output_tokens": 368, "elapsed_seconds": 8.049461084068753, "metadata": {"question": "{\"question\": \"Extract the information printed on the end of this metal billet. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"heat_number\\\": null,\\n \\\"billet_id\\\": null\\n}\\n\\nUse the letter-prefixed code for heat_number and the separate shorter numeric code for billet_id. Preserve leading zeros and omit spaces within codes.\\n\\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "9a003ac47745238e0edacd55f313515f99fb92ff6fc8ed525f3f6b2e70f5d3f0", "category": "structured", "subset": "84ce444ef86dc04d", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "a44b32dcc2ae01d5c44bd9baf88ef148a755dbc5ed1c334bf68668967b3f7eef", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on the end of this metal billet. Return only a valid JSON object with these fields:\n\n{\n \"heat_number\": null,\n \"billet_id\": null\n}\n\nUse the letter-prefixed code for heat_number and the separate shorter numeric code for billet_id. Preserve leading zeros and omit spaces within codes.\n\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 2, "reference_fields": 2, "predicted_fields": 2, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 8.1571}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 552, "image": "image_1498710b7fbcad63e918e548_jpg.rf.db8286edc2e5329a7e74f425681709bf.jpg", "expected": "0.178", "predicted": "0.178", "correct": true, "input_tokens": 1167, "output_tokens": 790, "elapsed_seconds": 11.631969290901907, "metadata": {"question": "{\"question\": \"Read the weight shown on the digital scale in this image. Return only the numeric reading, preserving the decimal separator and any minus sign. Do not include units or explain.\", \"task\": \"single_string\"}", "sample_id": "6da354bea2a10e16dc48846f027bfffa8163b3b733c581da16f786bec388ff66", "category": "single_string", "subset": "2230d8632391d9a6", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "bbce4419beb62363914d5e20140671e3c5f736ecbbf81090415dde77d4fc4b37", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the weight shown on the digital scale in this image. Return only the numeric reading, preserving the decimal separator and any minus sign. Do not include units or explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 11.7289}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 553, "image": "image_c87ae7f578b946abf1033d9d_jpg.rf.f345dc75e8ab203cd673037c01c85ebd.jpg", "expected": "{\"title\":\"Hold Me Tight SEVEN CONVERSATIONS for a LIFETIME of LOVE\",\"author\":\"Dr. Sue Johnson\",\"publisher\":null}", "predicted": "{\n \"title\": \"Hold Me Tight SEVEN CONVERSATIONS for a LIFETIME of LOVE\",\n \"author\": \"Dr. Sue Johnson\",\n \"publisher\": null\n}", "correct": true, "input_tokens": 1301, "output_tokens": 253, "elapsed_seconds": 5.026010917034, "metadata": {"question": "{\"question\": \"Extract the information printed on this book cover. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"title\\\": null,\\n \\\"author\\\": null,\\n \\\"publisher\\\": null\\n}\\n\\nInclude the subtitle in title, but exclude series names, endorsements and promotional badges. Include only the book\u2019s authors in author, preserving their printed order and separators; exclude foreword or introduction contributors. Use visible publisher text only; do not identify a symbol-only logo.\\n\\nExclude edition/volume labels from title and editors from author. Join title and subtitle with a space; do not add punctuation.\\n\\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "fcdb00b9a4b35b952ab4501874af22c5efef8d8c9c268e36685637b6d532db77", "category": "structured", "subset": "3d7fadf0660f8706", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "00d9fc795f6d87b248cae220c2747d0dd4f8ca984cad236985d5edd811e8cc93", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on this book cover. Return only a valid JSON object with these fields:\n\n{\n \"title\": null,\n \"author\": null,\n \"publisher\": null\n}\n\nInclude the subtitle in title, but exclude series names, endorsements and promotional badges. Include only the book\u2019s authors in author, preserving their printed order and separators; exclude foreword or introduction contributors. Use visible publisher text only; do not identify a symbol-only logo.\n\nExclude edition/volume labels from title and editors from author. Join title and subtitle with a space; do not add punctuation.\n\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 3, "reference_fields": 3, "predicted_fields": 3, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 5.035}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 554, "image": "image_af1e02ed3e9b94813cbed8d6_jpg.rf.fb9e441b7c594dbac12ec1ebf3f2f705.jpg", "expected": "0725", "predicted": "0725", "correct": true, "input_tokens": 1212, "output_tokens": 244, "elapsed_seconds": 5.519448583945632, "metadata": {"question": "{\"question\": \"Read the main row of mechanical counter digits on this water meter from left to right, including both black and red digits. Preserve leading zeros. Return only the digits: do not include commas, decimal points, spaces, units, serial numbers, pointers or inset enlargements. For a rolling digit, use the digit whose center is closest to the center of its window; return null if the reading is cropped or any digit is ambiguous. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "9d32992aa987025913c7646e7cda633b2d0d0a0d3dec12f1eaf9c5eadd54ed53", "category": "single_string", "subset": "2fb4de8cc245dee5", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "9057d551c93fa22b07c539bd2ce3036a2dc5a9787246bd2b0f814ace7f9e6a7a", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the main row of mechanical counter digits on this water meter from left to right, including both black and red digits. Preserve leading zeros. Return only the digits: do not include commas, decimal points, spaces, units, serial numbers, pointers or inset enlargements. For a rolling digit, use the digit whose center is closest to the center of its window; return null if the reading is cropped or any digit is ambiguous. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 5.5681}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 555, "image": "image_c1ea565d5df6bcdc8b1de460_jpg.rf.6d986df0cfd4629de28d3f920204b7fe.jpg", "expected": "{\"carrier\":\"FedEx\",\"tracking_number\":\"788500423871\",\"sender_name\":\"Shipping Department Walmart.com (Drop Ship)\",\"sender_address\":\"7 Sunset Way Suites 150 Henderson NV 89014 US\",\"recipient_name\":\"Blandino Pasion\",\"recipient_address\":\"3566 Atlas St San Diego CA 92111 (US)\",\"shipping_service\":\"Home Delivery\",\"weight\":\"8.50 LB\"}", "predicted": "{\n \"carrier\": \"FedEx\",\n \"tracking_number\": \"788500423871\",\n \"sender_name\": \"Shipping Department Walmart.com (Drop Ship)\",\n \"sender_address\": \"7 Sunset Way Suites 150 Henderson NV 89014 US\",\n \"recipient_name\": \"Blandino Pasion\",\n \"recipient_address\": \"3566 Atlas St San Diego CA 92111\",\n \"shipping_service\": \"Home Delivery\",\n \"weight\": \"8.50 LB\"\n}", "correct": false, "input_tokens": 1366, "output_tokens": 2353, "elapsed_seconds": 28.14637779199984, "metadata": {"question": "{\"question\": \"Extract the information printed on this shipping label. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"carrier\\\": null,\\n \\\"tracking_number\\\": null,\\n \\\"sender_name\\\": null,\\n \\\"sender_address\\\": null,\\n \\\"recipient_name\\\": null,\\n \\\"recipient_address\\\": null,\\n \\\"shipping_service\\\": null,\\n \\\"weight\\\": null\\n}\\n\\nIgnore accompanying paperwork. Keep company and department lines in names, not addresses; exclude phone numbers. Return tracking_number without spaces (e.g., \u201c7885 0040 8757\u201d \u2192 \u201c788500408757\u201d). Omit the carrier from shipping_service (e.g., \u201cFedEx Home Delivery\u201d \u2192 \u201cHome Delivery\u201d). Retain weight units and printed country information in addresses.\\n\\nPreserve all other text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "35aa2ad911adfa305d59f86c64a4d5e3f961e12fc1ba579baf4b4351c402c638", "category": "structured", "subset": "ccd97de2b96725a9", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "5b95cb3c696f284383b2f27dd84ade47589187c73937a0ccbbad06318f1b34e5", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on this shipping label. Return only a valid JSON object with these fields:\n\n{\n \"carrier\": null,\n \"tracking_number\": null,\n \"sender_name\": null,\n \"sender_address\": null,\n \"recipient_name\": null,\n \"recipient_address\": null,\n \"shipping_service\": null,\n \"weight\": null\n}\n\nIgnore accompanying paperwork. Keep company and department lines in names, not addresses; exclude phone numbers. Return tracking_number without spaces (e.g., \u201c7885 0040 8757\u201d \u2192 \u201c788500408757\u201d). Omit the carrier from shipping_service (e.g., \u201cFedEx Home Delivery\u201d \u2192 \u201cHome Delivery\u201d). Retain weight units and printed country information in addresses.\n\nPreserve all other text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 0.875, "status": "ok", "format_compliant": true, "matched_fields": 7, "reference_fields": 8, "predicted_fields": 8, "non_null_field_accuracy": 0.875, "object_exact_match": false, "attempts": 1, "retries": 0, "total_seconds": 28.1674}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 556, "image": "image_06216cb2fc241f5de50d5862_jpg.rf.2a1f13ac11ad49a301fde0bf0227fca8.jpg", "expected": "TN61S4947", "predicted": "TN61S4947", "correct": true, "input_tokens": 1167, "output_tokens": 1220, "elapsed_seconds": 19.417397500015795, "metadata": {"question": "{\"question\": \"Read the registration number on the largest visible vehicle license plate. Return only the registration number, reading multiple lines from top to bottom, omitting spaces and preserving letters, digits, leading zeros and hyphens. Exclude country labels, vehicle branding and video overlays. Return null if the complete registration number is unreadable. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "1a1be57fbb40b59f654c8cfd8cae87cdd9c8130a28856a86872e39c84c0d89f9", "category": "single_string", "subset": "d883528f51470f78", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "cf68e1e89a1e41fc5b96a25ab0b6d4b0e5157b63c50292b57d6fbe0c8a79b3b0", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the registration number on the largest visible vehicle license plate. Return only the registration number, reading multiple lines from top to bottom, omitting spaces and preserving letters, digits, leading zeros and hyphens. Exclude country labels, vehicle branding and video overlays. Return null if the complete registration number is unreadable. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 19.4564}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 557, "image": "image_64c012a979cb6355e5114d7c_jpg.rf.ec8123845cbbdfe7a5847e9b63e4c98e.jpg", "expected": "02587", "predicted": "02587", "correct": true, "input_tokens": 1134, "output_tokens": 670, "elapsed_seconds": 10.36560450005345, "metadata": {"question": "{\"question\": \"Read the electricity meter reading shown on the LCD. Return only the reading, preserving leading zeros and any decimal point. Exclude the register code, units and serial number. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "3efb8cb760262db2ef0f4853f4bf5c6b20a449680b2f49fd1b78972c58e57cc1", "category": "single_string", "subset": "0749a0105d22d9d4", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "44376a1a2f799571e0acf92bd7621b443da0d26210d653180e8f81da6964d6bb", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the electricity meter reading shown on the LCD. Return only the reading, preserving leading zeros and any decimal point. Exclude the register code, units and serial number. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 10.4009}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 558, "image": "image_695db97cc7af0c53d3bbf0bd_jpg.rf.12299e3066562d427504147627bad229.jpg", "expected": "[{\"bbox\":[293,438,348,475],\"text\":\"5,8\"},{\"bbox\":[644,611,739,658],\"text\":\"Lst.\"},{\"bbox\":[438,690,825,833],\"text\":\"Gnojau\"},{\"bbox\":[109,763,168,810],\"text\":\"5,8\"},{\"bbox\":[779,1107,844,1146],\"text\":\"5,8\"}]", "predicted": "[{\"box_2d\": [378, 270, 412, 321], \"text\": \"5,8\"}, {\"box_2d\": [534, 594, 574, 675], \"text\": \"Lst\"}, {\"box_2d\": [603, 405, 728, 754], \"text\": \"Gnojau\"}, {\"box_2d\": [668, 99, 704, 152], \"text\": \"5,8\"}, {\"box_2d\": [967, 722, 1000, 777], \"text\": \"5,8\"}]", "correct": false, "input_tokens": 1332, "output_tokens": 1108, "elapsed_seconds": 15.000646749977022, "metadata": {"question": "{\"question\": \"Locate and transcribe all visible map labels, abbreviations and numbers.\", \"specification\": \"Use one box per label line, keeping spaced-out letters of the same label together. Include rotated and curved labels; enclose each curved line in one box. Transcribe only visible characters at image edges. Preserve historical spelling, diacritics and punctuation; do not expand abbreviations or modernize names. Return plain text, not LaTeX.\\n\\nUse tight, axis-aligned boxes. Return entries top-to-bottom, then left-to-right. Use null for a visible region whose text cannot be read, and [] when none are present. Return no explanations or Markdown.\", \"task\": \"localization_recognition\"}", "sample_id": "5a64b476f900406004b1fdd3b99ca34aa36f027d07b018e638b3ba40cd448daf", "category": "localization_recognition", "subset": "60ba2e315b54c16e", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "736873e7953a368c3e8e38d8a996d21852ffd3edf7c70a7a42191dc3f1e0ba7f", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe all visible map labels, abbreviations and numbers.\n\nUse one box per label line, keeping spaced-out letters of the same label together. Include rotated and curved labels; enclose each curved line in one box. Transcribe only visible characters at image edges. Preserve historical spelling, diacritics and punctuation; do not expand abbreviations or modernize names. Return plain text, not LaTeX.\n\nUse tight, axis-aligned boxes. Return entries top-to-bottom, then left-to-right. Use null for a visible region whose text cannot be read, and [] when none are present. Return no explanations or Markdown.\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 0.8, "status": "ok", "format_compliant": true, "detection_f1": 1.0, "matched_regions": 4, "reference_regions": 5, "predicted_regions": 5, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 15.056}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 559, "image": "image_a591c57e015f1e6ea16f4c92_jpg.rf.e36b142c1872adf95b43f33192c4759b.jpg", "expected": "{\"grading\":{\"year\":\"1999\",\"set_name\":\"POKEMON JUNGLE\",\"grade\":\"9.5\",\"certification_number\":\"1336410\"},\"card\":{\"name\":\"Venonat\",\"hp\":\"40\",\"evolves_from\":null,\"card_number\":\"63/64\",\"illustrator\":\"Mitsuhiro Arita\"}}", "predicted": "{\n \"grading\": {\n \"year\": \"1999\",\n \"set_name\": \"POKEMON JUNGLE\",\n \"grade\": \"9.5\",\n \"certification_number\": \"1336410\"\n },\n \"card\": {\n \"name\": \"Venonat\",\n \"hp\": \"40\",\n \"evolves_from\": null,\n \"card_number\": \"63/64\",\n \"illustrator\": \"Mitsuhiro Arita\"\n }\n}", "correct": true, "input_tokens": 1375, "output_tokens": 762, "elapsed_seconds": 10.045304249972105, "metadata": {"question": "{\"question\": \"Extract the information printed on this SGC-graded trading card and its holder. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"grading\\\": {\\n \\\"year\\\": null,\\n \\\"set_name\\\": null,\\n \\\"grade\\\": null,\\n \\\"certification_number\\\": null\\n },\\n \\\"card\\\": {\\n \\\"name\\\": null,\\n \\\"hp\\\": null,\\n \\\"evolves_from\\\": null,\\n \\\"card_number\\\": null,\\n \\\"illustrator\\\": null\\n }\\n}\\n\\nRead grading fields from the holder and card fields from the card. Return the numeric grade only (e.g., \u201c8.5 NM/MT+\u201d \u2192 \u201c8.5\u201d). Exclude gameplay suffixes and level indicators from Pok\u00e9mon names (e.g., \u201cLatias ex\u201d \u2192 \u201cLatias\u201d). Return HP as digits only (e.g., \u201c120 HP\u201d \u2192 \u201c120\u201d).\\n\\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "c7a6e8368677e402278ed78aeb1b3190a1d5da8c8fb10c949b6a08eb4ced41a6", "category": "structured", "subset": "6c56b14aa8dbe996", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "89b09b8dbc45f2e3d28e1e836c8726aad81099026840249a6613d288858a516f", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on this SGC-graded trading card and its holder. Return only a valid JSON object with these fields:\n\n{\n \"grading\": {\n \"year\": null,\n \"set_name\": null,\n \"grade\": null,\n \"certification_number\": null\n },\n \"card\": {\n \"name\": null,\n \"hp\": null,\n \"evolves_from\": null,\n \"card_number\": null,\n \"illustrator\": null\n }\n}\n\nRead grading fields from the holder and card fields from the card. Return the numeric grade only (e.g., \u201c8.5 NM/MT+\u201d \u2192 \u201c8.5\u201d). Exclude gameplay suffixes and level indicators from Pok\u00e9mon names (e.g., \u201cLatias ex\u201d \u2192 \u201cLatias\u201d). Return HP as digits only (e.g., \u201c120 HP\u201d \u2192 \u201c120\u201d).\n\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 9, "reference_fields": 9, "predicted_fields": 9, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 10.1143}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 560, "image": "image_d1e709abe6d29c3d6c9c1af0_jpg.rf.873f401790088c14c1558d0f30477808.jpg", "expected": "26", "predicted": "16", "correct": false, "input_tokens": 1146, "output_tokens": 13619, "elapsed_seconds": 132.31654399994295, "metadata": {"question": "{\"question\": \"Read the basketball jersey number visible in this image. Return only the number as a string of digits. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "ac0b1d17f27bf91fef64b269ac5355e86f2e2cbb25a249ee189a53efc278fcff", "category": "single_string", "subset": "c88e91da6c946745", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "c5fbfe004dbd4985c40d4640a453a15fb6bfc594d98b082a61a140f324a8f831", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the basketball jersey number visible in this image. Return only the number as a string of digits. Do not explain.", "match_method": "single_string", "score": 0.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 132.3191}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 561, "image": "image_6c28736214a87fae3a4bcb63_jpg.rf.5d3c9a28ce8cbd03c3f5bcf399d3b63a.jpg", "expected": "1218890", "predicted": "1218890", "correct": true, "input_tokens": 1180, "output_tokens": 239, "elapsed_seconds": 5.623297457932495, "metadata": {"question": "{\"question\": \"Read the identification code on the utility pole tag. Return only the code, joining vertically stacked characters without spaces and preserving leading zeros and hyphens. Exclude labels such as POLE NO., timestamps and GPS/address overlays. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "11df2c6800c07abb0ec0d68c34d7dad5788855670ba03cf44cc1eaafe520aebc", "category": "single_string", "subset": "cd97317d8ff518ba", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "2383cc363657bfd0d893c0457a62b372b11b2dc45de921029f46ad33c866b023", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the identification code on the utility pole tag. Return only the code, joining vertically stacked characters without spaces and preserving leading zeros and hyphens. Exclude labels such as POLE NO., timestamps and GPS/address overlays. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 5.7097}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 562, "image": "image_06f7e68145e4f357356462e0_jpg.rf.ef65f93dd2655e2d2664493fa387d042.jpg", "expected": "{\"brand\":\"Electrolux\",\"model_number\":\"EKC7151\",\"product_number\":\"9485719-06\",\"serial_number\":\"40501409\",\"voltage\":\"400 V\",\"frequency\":\"50 Hz\",\"refrigerant\":null,\"country_of_manufacture\":\"Sweden\"}", "predicted": "{\n \"brand\": \"Electrolux\",\n \"model_number\": \"EKC7151\",\n \"product_number\": \"9485719-06\",\n \"serial_number\": \"40501409\",\n \"voltage\": \"400 V\",\n \"frequency\": \"50 Hz\",\n \"refrigerant\": null,\n \"country_of_manufacture\": \"Sweden\"\n}", "correct": true, "input_tokens": 1416, "output_tokens": 964, "elapsed_seconds": 10.036458750022575, "metadata": {"question": "{\"question\": \"Extract the information printed on this appliance identification label. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"brand\\\": null,\\n \\\"model_number\\\": null,\\n \\\"product_number\\\": null,\\n \\\"serial_number\\\": null,\\n \\\"voltage\\\": null,\\n \\\"frequency\\\": null,\\n \\\"refrigerant\\\": null,\\n \\\"country_of_manufacture\\\": null\\n}\\n\\nUse Model/MOD., Product/PROD.NO. and Serial/SER.NO. for their respective identifiers. Remove spaces within identifiers but retain hyphens and leading zeros. Use Type only if explicitly labeled as the model. Retain units for voltage and frequency; exclude refrigerant charge from refrigerant (e.g., \u201cR600a 40g\u201d \u2192 \u201cR600a\u201d). Use only an explicit Made in statement for country_of_manufacture.\\n\\nFormat voltage and frequency as the printed number or range followed by one space and V or Hz; use - for ranges and omit AC/~ symbols. Remove spaces from refrigerant codes (e.g., \u2018R 600a 34 g\u2019 \u2192 \u2018R600a\u2019). Preserve country capitalization.\\n\\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "c297ac0e259de65b105f52c1826f15e0eff2835fab75b026bab24bbf7cd33ba2", "category": "structured", "subset": "4890639a29ac37cd", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "fe9642bc3dfaffd6440bb4b6b68686c598fe44af4f17b291d98622aad3a15a99", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on this appliance identification label. Return only a valid JSON object with these fields:\n\n{\n \"brand\": null,\n \"model_number\": null,\n \"product_number\": null,\n \"serial_number\": null,\n \"voltage\": null,\n \"frequency\": null,\n \"refrigerant\": null,\n \"country_of_manufacture\": null\n}\n\nUse Model/MOD., Product/PROD.NO. and Serial/SER.NO. for their respective identifiers. Remove spaces within identifiers but retain hyphens and leading zeros. Use Type only if explicitly labeled as the model. Retain units for voltage and frequency; exclude refrigerant charge from refrigerant (e.g., \u201cR600a 40g\u201d \u2192 \u201cR600a\u201d). Use only an explicit Made in statement for country_of_manufacture.\n\nFormat voltage and frequency as the printed number or range followed by one space and V or Hz; use - for ranges and omit AC/~ symbols. Remove spaces from refrigerant codes (e.g., \u2018R 600a 34 g\u2019 \u2192 \u2018R600a\u2019). Preserve country capitalization.\n\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 8, "reference_fields": 8, "predicted_fields": 8, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 10.044}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 563, "image": "image_140df6e480a011b6a5388342_png_jpg.rf.882525fecbb73489036e78c4fa12c98c.jpg", "expected": "{\"columns\":[null,null,\"UDIT RAJ\",\"YOGENDER CHANDOLIYA\",\"VIJAY BAUDDH\",\"K M KAJAL\",\"ADV. KRUPAL\",\"KHILKHILAKAR\",\"NAND RAM BAGRI\",\"NARESH KUMAR\",\"POOJA (BHAGTANI)\",\"PRAVEEN GAUTAM\",\"PREETI\",\"ADVOCATE DR. MAHENDER SINGH CHURIYANA\",\"RAJENDER SOOD\",\"SHYAM BHARTEEY\",\"ADVOCATE SATISH CHANDRA\",\"SUBHASH\",\"SURESH KUMAR\",\"SANJAY KUMAR SIWAL\",\"ADITI\",\"CHANDER PAL SONI\",\"NARESH KUMAR\",\"PARMENDRA MANJHI\",\"PUSHPA NAGRA\",\"PRADEEP KUMAR\",\"SATYA PRAKASH UTTRAKHANDI\",\"HARI KISHAN (MECHANIC)\",\"Total of Valid Votes\",\"No. Of Rejected Votes\",\"Votes for NOTA\",\"Total\",\"No. Of Tendered Votes\"],\"rows\":[[\"181\",\"180\",\"270\",\"410\",\"9\",\"1\",\"0\",\"0\",\"1\",\"1\",\"0\",\"0\",\"0\",\"2\",\"1\",\"0\",\"0\",\"1\",\"0\",\"2\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"700\",\"0\",\"5\",\"705\",\"0\"],[\"182\",\"181\",\"187\",\"302\",\"6\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"2\",\"0\",\"0\",\"1\",\"0\",\"3\",\"2\",\"2\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"505\",\"0\",\"5\",\"510\",\"0\"],[\"183\",\"182\",\"200\",\"377\",\"4\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"1\",\"1\",\"1\",\"3\",\"2\",\"0\",\"0\",\"0\",\"2\",\"0\",\"0\",\"0\",\"1\",\"0\",\"595\",\"0\",\"2\",\"597\",\"0\"],[\"184\",\"183\",\"188\",\"322\",\"9\",\"2\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"1\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"525\",\"0\",\"3\",\"528\",\"0\"],[\"185\",\"184\",\"180\",\"324\",\"3\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"2\",\"0\",\"2\",\"0\",\"0\",\"1\",\"0\",\"1\",\"2\",\"2\",\"0\",\"1\",\"0\",\"1\",\"521\",\"0\",\"1\",\"522\",\"0\"],[\"186\",\"185\",\"317\",\"447\",\"10\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"2\",\"0\",\"2\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"1\",\"0\",\"0\",\"1\",\"0\",\"2\",\"0\",\"785\",\"0\",\"2\",\"787\",\"0\"],[\"187\",\"186\",\"492\",\"323\",\"6\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"1\",\"0\",\"0\",\"3\",\"1\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"1\",\"1\",\"831\",\"0\",\"6\",\"837\",\"0\"],[\"188\",\"187\",\"471\",\"294\",\"3\",\"0\",\"1\",\"0\",\"0\",\"1\",\"0\",\"2\",\"0\",\"1\",\"0\",\"1\",\"1\",\"2\",\"3\",\"3\",\"0\",\"0\",\"1\",\"2\",\"0\",\"0\",\"1\",\"0\",\"787\",\"0\",\"2\",\"789\",\"0\"]]}", "predicted": "{\"columns\":[\"Serial No. Of Polling Station\",null,\"UDIT RAJ\",\"YOGENDER CHANDOLIYA\",\"VIJAY BAUDDH\",\"K M KAJAL\",\"ADV. KRUPAL\",\"KHILKHILAKAR\",\"NAND RAM BAGRI\",\"NARESH KUMAR\",\"POOJA (BHAGTANI)\",\"PRAVEEN GAUTAM\",\"PREETI\",\"ADVOCATE DR. MAHENDER SINGH CHURIYANA\",\"RAJENDER SOOD\",\"SHYAM BHARTEEY\",\"ADVOCATE SATISH CHANDRA\",\"SUBHASH\",\"SURESH KUMAR\",\"SANJAY KUMAR SIWAL\",\"ADITI\",\"CHANDER PAL SONI\",\"NARESH KUMAR\",\"PARMENDRA MANJHI\",\"PUSHPA NAGRA\",\"PRADEEP KUMAR\",\"SATYA PRAKASH UTTRAKHANDI\",\"HARI KISHAN (MECHANIC)\",\"Total of Valid Votes\",\"No. Of Rejected Votes\",\"Votes for NOTA\",\"Total\",\"No. Of Tendered Votes\"],\"rows\":[[\"181\",\"180\",\"270\",\"410\",\"9\",\"1\",\"0\",\"0\",\"1\",\"1\",\"0\",\"0\",\"0\",\"2\",\"1\",\"0\",\"0\",\"1\",\"0\",\"2\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"700\",\"0\",\"5\",\"705\",\"0\"],[\"182\",\"181\",\"187\",\"302\",\"6\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"2\",\"0\",\"0\",\"1\",\"0\",\"3\",\"2\",\"2\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"505\",\"0\",\"5\",\"510\",\"0\"],[\"183\",\"182\",\"200\",\"377\",\"4\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"1\",\"1\",\"1\",\"3\",\"2\",\"0\",\"0\",\"0\",\"2\",\"0\",\"0\",\"0\",\"1\",\"0\",\"595\",\"0\",\"2\",\"597\",\"0\"],[\"184\",\"183\",\"188\",\"322\",\"9\",\"2\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"1\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"525\",\"0\",\"3\",\"528\",\"0\"],[\"185\",\"184\",\"180\",\"324\",\"3\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"2\",\"0\",\"2\",\"0\",\"0\",\"1\",\"0\",\"1\",\"2\",\"2\",\"0\",\"1\",\"0\",\"1\",\"521\",\"0\",\"1\",\"522\",\"0\"],[\"186\",\"185\",\"317\",\"447\",\"10\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"2\",\"0\",\"2\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"1\",\"0\",\"0\",\"1\",\"0\",\"2\",\"0\",\"785\",\"0\",\"2\",\"787\",\"0\"],[\"187\",\"186\",\"492\",\"323\",\"6\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"1\",\"0\",\"0\",\"3\",\"1\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"1\",\"1\",\"831\",\"0\",\"6\",\"837\",\"0\"],[\"188\",\"187\",\"471\",\"294\",\"3\",\"0\",\"1\",\"0\",\"0\",\"1\",\"0\",\"2\",\"0\",\"1\",\"0\",\"1\",\"1\",\"2\",\"3\",\"3\",\"0\",\"0\",\"1\",\"2\",\"0\",\"0\",\"1\",\"0\",\"787\",\"0\",\"2\",\"789\",\"0\"]]}", "correct": false, "input_tokens": 1281, "output_tokens": 6890, "elapsed_seconds": 48.9797222079942, "metadata": {"question": "{\"question\": \"Extract the election-results table from this image. Return only a valid JSON object with this structure:\\n\\n{\\n \\\"columns\\\": [],\\n \\\"rows\\\": []\\n}\\n\\nReturn every leaf column left-to-right, including row identifiers, candidate names and summary columns. Join multi-line column headings with spaces; omit shared spanning headings. Use null for a leaf column without its own heading; do not invent or duplicate a spanning heading. Return rows as arrays of cells aligned with columns, top-to-bottom, including any printed total rows. Preserve zeros, identifiers and printed symbols; use null for blank or unreadable cells, never 0. Do not calculate totals or fill values from neighboring cells. Each row must contain exactly one cell per column.\\n\\nPreserve text as printed or handwritten, joining line breaks within a field with spaces. Do not infer missing information or translate. Include every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "c3ab275813d482d1000ec12f7f187d2fdaea5f45166b54420c3ecafc83ff8f0b", "category": "structured", "subset": "632de14cb0143303", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "144476bc36d203ab258a7ee46f98a6a0d3ce4014acb5080386e1cb49d79e2b6a", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the election-results table from this image. Return only a valid JSON object with this structure:\n\n{\n \"columns\": [],\n \"rows\": []\n}\n\nReturn every leaf column left-to-right, including row identifiers, candidate names and summary columns. Join multi-line column headings with spaces; omit shared spanning headings. Use null for a leaf column without its own heading; do not invent or duplicate a spanning heading. Return rows as arrays of cells aligned with columns, top-to-bottom, including any printed total rows. Preserve zeros, identifiers and printed symbols; use null for blank or unreadable cells, never 0. Do not calculate totals or fill values from neighboring cells. Each row must contain exactly one cell per column.\n\nPreserve text as printed or handwritten, joining line breaks within a field with spaces. Do not infer missing information or translate. Include every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 0.9966, "status": "ok", "format_compliant": true, "matched_fields": 296, "reference_fields": 297, "predicted_fields": 297, "non_null_field_accuracy": 1.0, "object_exact_match": false, "attempts": 4, "retries": 3, "total_seconds": 249.4737, "transient_errors": ["RemoteProtocolError", "RemoteProtocolError", "RemoteProtocolError"]}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 564, "image": "image_b7396824c12958f66e8b563a_jpg.rf.9cb03b825c6535ea034b99735a1ae785.jpg", "expected": "{\"grading\":{\"year\":\"2016\",\"set_name\":\"POKEMON EVOLUTIONS\",\"grade\":\"10\",\"certification_number\":\"0767613\"},\"card\":{\"name\":\"Mewtwo\",\"hp\":\"180\",\"evolves_from\":null,\"card_number\":\"103/108\",\"illustrator\":\"Ryo Ueda\"}}", "predicted": "{\n \"grading\": {\n \"year\": \"2016\",\n \"set_name\": \"POKEMON EVOLUTIONS\",\n \"grade\": \"10\",\n \"certification_number\": \"0767613\"\n },\n \"card\": {\n \"name\": \"Mewtwo\",\n \"hp\": \"180\",\n \"evolves_from\": null,\n \"card_number\": \"103/108\",\n \"illustrator\": \"Ryo Ueda\"\n }\n}", "correct": true, "input_tokens": 1375, "output_tokens": 802, "elapsed_seconds": 9.146075166994706, "metadata": {"question": "{\"question\": \"Extract the information printed on this SGC-graded trading card and its holder. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"grading\\\": {\\n \\\"year\\\": null,\\n \\\"set_name\\\": null,\\n \\\"grade\\\": null,\\n \\\"certification_number\\\": null\\n },\\n \\\"card\\\": {\\n \\\"name\\\": null,\\n \\\"hp\\\": null,\\n \\\"evolves_from\\\": null,\\n \\\"card_number\\\": null,\\n \\\"illustrator\\\": null\\n }\\n}\\n\\nRead grading fields from the holder and card fields from the card. Return the numeric grade only (e.g., \u201c8.5 NM/MT+\u201d \u2192 \u201c8.5\u201d). Exclude gameplay suffixes and level indicators from Pok\u00e9mon names (e.g., \u201cLatias ex\u201d \u2192 \u201cLatias\u201d). Return HP as digits only (e.g., \u201c120 HP\u201d \u2192 \u201c120\u201d).\\n\\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "06162ad49993c1ad4650c5ab954e4dade0042e43553649049ce1ddd2971e6640", "category": "structured", "subset": "6c56b14aa8dbe996", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "3d7c8e34f4a711b81a35b3a998d8e03627977fef326947f377959e4ff3643a2d", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on this SGC-graded trading card and its holder. Return only a valid JSON object with these fields:\n\n{\n \"grading\": {\n \"year\": null,\n \"set_name\": null,\n \"grade\": null,\n \"certification_number\": null\n },\n \"card\": {\n \"name\": null,\n \"hp\": null,\n \"evolves_from\": null,\n \"card_number\": null,\n \"illustrator\": null\n }\n}\n\nRead grading fields from the holder and card fields from the card. Return the numeric grade only (e.g., \u201c8.5 NM/MT+\u201d \u2192 \u201c8.5\u201d). Exclude gameplay suffixes and level indicators from Pok\u00e9mon names (e.g., \u201cLatias ex\u201d \u2192 \u201cLatias\u201d). Return HP as digits only (e.g., \u201c120 HP\u201d \u2192 \u201c120\u201d).\n\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 9, "reference_fields": 9, "predicted_fields": 9, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 9.2203}} +{"model": "gemini-4-argon", "effort": "high", "task": "text", "timestamp": "20261013_072221", "index": 565, "image": "image_a271ebaa09a46cfc746d6957_jpg.rf.727ebb32f3b3396be66b7fde452e9416.jpg", "expected": "P 03102020\"},{\"bbox\":[123,66,194,74],\"text\":\"Better think twice,\"},{\"bbox\":[123,77,250,85],\"text\":\"Before this mistake spreads out,\"},{\"bbox\":[123,88,225,96],\"text\":\"Better learn from the past,\"},{\"bbox\":[123,99,266,107],\"text\":\"Before my mind gets clouded again,\"},{\"bbox\":[123,110,162,118],\"text\":\"Better get\"},{\"bbox\":[279,299,521,370],\"text\":\"AWAY\"},{\"bbox\":[494,557,514,565],\"text\":\"soon,\"},{\"bbox\":[380,568,515,576],\"text\":\"Before you can get into my head,\"},{\"bbox\":[445,578,516,587],\"text\":\"For the last time.\"}]", "predicted": "[{\"box_2d\": [70, 732, 82, 807], \"text\": \"> 03102020\"}, {\"box_2d\": [103, 192, 117, 304], \"text\": \"Better think twice,\"}, {\"box_2d\": [118, 192, 134, 395], \"text\": \"Before this mistake spreads out,\"}, {\"box_2d\": [135, 192, 151, 354], \"text\": \"Better learn from the past,\"}, {\"box_2d\": [153, 192, 168, 418], \"text\": \"Before my mind gets clouded again,\"}, {\"box_2d\": [170, 192, 185, 253], \"text\": \"Better get\"}, {\"box_2d\": [468, 434, 578, 815], \"text\": \"AWAY\"}, {\"box_2d\": [870, 767, 882, 803], \"text\": \"soon,\"}, {\"box_2d\": [885, 595, 900, 803], \"text\": \"Before you can get into my head,\"}, {\"box_2d\": [901, 698, 915, 803], \"text\": \"For the last time.\"}]", "correct": true, "input_tokens": 1327, "output_tokens": 362, "elapsed_seconds": 5.36372141703032, "metadata": {"question": "{\"question\": \"Locate and transcribe visible text on the poster.\", \"specification\": \"Use one box per text line; keep separate words or letter groups on strongly curved paths in separate boxes. Include rotated text. Exclude decorative shapes, photographs and non-text graphics. Return plain text, not LaTeX.\\n\\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\", \"task\": \"localization_recognition\"}", "sample_id": "9f9bce5f7cd452eaf489fc5714087059ac9412c2d8b85a8d0cc2a1d0ac3cf429", "category": "localization_recognition", "subset": "a0ebbce28fa5095a", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "edf9e83bd0fc869660e47b9b78ba13e03e5172d3064dbe7145f072c53b5bf262", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe visible text on the poster.\n\nUse one box per text line; keep separate words or letter groups on strongly curved paths in separate boxes. Include rotated text. Exclude decorative shapes, photographs and non-text graphics. Return plain text, not LaTeX.\n\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 1.0, "status": "ok", "format_compliant": true, "detection_f1": 1.0, "matched_regions": 10, "reference_regions": 10, "predicted_regions": 10, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 5.3714}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 451, "image": "image_c1e22a86b1a4e7e27937d86d_jpg.rf.a942076043a764ebf7c99252106e01ff.jpg", "expected": "[{\"bbox\":[459,161,529,199],\"text\":\"All I'm asking for is a quick audience.\"},{\"bbox\":[202,222,255,248],\"text\":\"Guess not.\"},{\"bbox\":[334,230,406,263],\"text\":\"Look, all I'm saying is --\"},{\"bbox\":[46,560,97,586],\"text\":\"All right?\"},{\"bbox\":[359,482,433,516],\"text\":\"I knew no one was listening.\"}]", "predicted": "[{\"box_2d\": [254, 718, 305, 822], \"text\": \"All I'm asking for is a quick audience.\"}, {\"box_2d\": [351, 319, 382, 395], \"text\": \"Guess not.\"}, {\"box_2d\": [364, 523, 404, 629], \"text\": \"Look, all I'm saying is --\"}, {\"box_2d\": [880, 74, 912, 147], \"text\": \"All right?\"}, {\"box_2d\": [757, 565, 800, 675], \"text\": \"I knew no one was listening.\"}]", "correct": true, "input_tokens": 1321, "output_tokens": 189, "elapsed_seconds": 4.002953374991193, "metadata": {"question": "{\"question\": \"Locate and transcribe all speech and thought bubbles in this comic image.\", \"specification\": \"Use one tight, axis-aligned bounding box around each bubble\u2019s body, excluding its tail. Keep separate bubbles in separate boxes.\\n\\n\\n\\nPreserve the text as printed, including capitalization and punctuation. Join line breaks within each bubble with spaces. Exclude captions, sound effects, and text outside bubbles. Do not infer missing characters or translate. Use null for a visible bubble whose text cannot be read. Do not include explanations or Markdown.\\n\\nReturn entries in the intended reading order. If no bubbles are visible, return [].\", \"task\": \"localization_recognition\"}", "sample_id": "a7afa80034f593c4ef0d837c6735b215b4641d6da7e840d795dc6c4ca11d9a32", "category": "localization_recognition", "subset": "6174981f0649e07d", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "19954f8fd7efb921033c041f517efc07c039d4d1239cdb8605ca3a25f3653dee", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe all speech and thought bubbles in this comic image.\n\nUse one tight, axis-aligned bounding box around each bubble\u2019s body, excluding its tail. Keep separate bubbles in separate boxes.\n\n\n\nPreserve the text as printed, including capitalization and punctuation. Join line breaks within each bubble with spaces. Exclude captions, sound effects, and text outside bubbles. Do not infer missing characters or translate. Use null for a visible bubble whose text cannot be read. Do not include explanations or Markdown.\n\nReturn entries in the intended reading order. If no bubbles are visible, return [].\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 1.0, "status": "ok", "format_compliant": true, "detection_f1": 1.0, "matched_regions": 5, "reference_regions": 5, "predicted_regions": 5, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 4.0327}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 452, "image": "image_c1e22a86b1a4e7e27937d86d_jpg.rf.a942076043a764ebf7c99252106e01ff.jpg", "expected": "All I'm asking for is a quick audience.\nGuess not.\nLook, all I'm saying is --\nAll right?\nI knew no one was listening.", "predicted": "All I'm asking for is a quick audience.\nGuess not.\nLook, all I'm saying is --\nAll right?\nI knew no one was listening.", "correct": true, "input_tokens": 1191, "output_tokens": 41, "elapsed_seconds": 2.5894355829805136, "metadata": {"question": "{\"question\": \"Read the text inside the speech and thought bubbles in this comic image, following the intended reading order. Return each bubble\u2019s text on a separate line.\\n\\nPreserve the text as printed, including capitalization and punctuation. Join line breaks within each bubble with spaces. Exclude captions, sound effects, and text outside bubbles. Do not translate or explain.\", \"task\": \"transcription\"}", "sample_id": "738d215f56e0e9f6ebe061b258310dfb9047af7230b577a1adfe6d7195ef7d56", "category": "transcription", "subset": "a0b750b70bf54a22", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "19954f8fd7efb921033c041f517efc07c039d4d1239cdb8605ca3a25f3653dee", "text_protocol": "mixed-text-v2", "scoring_profile": "transcription", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the text inside the speech and thought bubbles in this comic image, following the intended reading order. Return each bubble\u2019s text on a separate line.\n\nPreserve the text as printed, including capitalization and punctuation. Join line breaks within each bubble with spaces. Exclude captions, sound effects, and text outside bubbles. Do not translate or explain.", "match_method": "transcription", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 2.6184}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 453, "image": "image_06c2d534570406820b59e398_jpg.rf.e2fc54227891cc153657f6b764cb533a.jpg", "expected": "250218", "predicted": "250218", "correct": true, "input_tokens": 1148, "output_tokens": 10, "elapsed_seconds": 2.4650008329190314, "metadata": {"question": "{\"question\": \"Read the six-digit code engraved on the metal surface. Return only the code as a string of digits, preserving leading zeros. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "497c2adf3597acdd7a8caa14c03c4b77b1e49dad12da7d4b8d69740e600f1c1d", "category": "single_string", "subset": "f2a87f15a0d3eb96", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "a4968765361328a206185953c32ab20c35e3914832bfa58d704bd027a67f2328", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the six-digit code engraved on the metal surface. Return only the code as a string of digits, preserving leading zeros. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 2.476}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 454, "image": "image_e806f52f2a24c47abdba596e_jpg.rf.41d66ddcf73bb2d1cbc620dbb9b629c4.jpg", "expected": "94.4", "predicted": "94.4", "correct": true, "input_tokens": 1131, "output_tokens": 8, "elapsed_seconds": 7.631580917048268, "metadata": {"question": "{\"question\": \"Read the main temperature value shown on the thermometer display. Return only the numeric reading, preserving the decimal point and trailing zeros. Exclude units and icons. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "b7c600d25df9d991091df08a191ffe2fa43227419d6cda8afa78138e12e240de", "category": "single_string", "subset": "86f51b3c3dae6d11", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "f919e3ec9e700f91cb0aff91022aa6967b1609af79f60d34612642605f2b2616", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the main temperature value shown on the thermometer display. Return only the numeric reading, preserving the decimal point and trailing zeros. Exclude units and icons. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 8.1668}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 455, "image": "image_464d6d93ca1b66c942fef9f6_jpg.rf.3dc5fd384fc4f7dcd267656dc7f858ad.jpg", "expected": "0.536", "predicted": "0.536", "correct": true, "input_tokens": 1167, "output_tokens": 9, "elapsed_seconds": 3.43503925006371, "metadata": {"question": "{\"question\": \"Read the weight shown on the digital scale in this image. Return only the numeric reading, preserving the decimal separator and any minus sign. Do not include units or explain.\", \"task\": \"single_string\"}", "sample_id": "727cdcc5a56d762a68829829b4431620da37be47e3e5361aab2a54941432a54e", "category": "single_string", "subset": "2230d8632391d9a6", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "0aa33d8daa3ffa6ef4f014b022b93aa5752f1eb4cf5fdb21108a5738f85d44fe", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the weight shown on the digital scale in this image. Return only the numeric reading, preserving the decimal separator and any minus sign. Do not include units or explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 3.5245}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 456, "image": "image_002cab1e857745fde7424bad_jpg.rf.f342575fb0f56aa4a54e6e643374798c.jpg", "expected": "{\"route_number\":\"36 (2-40)\",\"bus_number\":\"4-44094\",\"destination_sign\":\"\u0e2b\u0e21\u0e14\u0e23\u0e30\u0e22\u0e30 \u0e2b\u0e49\u0e27\u0e22\u0e02\u0e27\u0e32\u0e07\",\"license_plate\":\"12-5246\"}", "predicted": "{\n \"route_number\": \"36 (2-40)\",\n \"bus_number\": \"4-44094\",\n \"destination_sign\": \"\u0e2b\u0e21\u0e14\u0e23\u0e30\u0e22\u0e30 \u0e2b\u0e49\u0e27\u0e22\u0e02\u0e27\u0e32\u0e07\",\n \"license_plate\": \"THAILAND 01 12-5246 \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23\"\n}", "correct": false, "input_tokens": 1209, "output_tokens": 81, "elapsed_seconds": 8.765389500069432, "metadata": {"question": "{\"question\": \"Extract the information printed on the main bus in this image. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"route_number\\\": null,\\n \\\"bus_number\\\": null,\\n \\\"destination_sign\\\": null,\\n \\\"license_plate\\\": null\\n}\\n\\nPreserve the text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "d10d34e96c8db48ed1a690d1f8176c22993da3029c4e33e27a60561cddd99f83", "category": "structured", "subset": "477b707cebbcd6df", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "3674743325dd3bfe4a9a537c3e59ddcba42809c0a4fad74ae397c1c1e11e6888", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on the main bus in this image. Return only a valid JSON object with these fields:\n\n{\n \"route_number\": null,\n \"bus_number\": null,\n \"destination_sign\": null,\n \"license_plate\": null\n}\n\nPreserve the text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 0.75, "status": "ok", "format_compliant": true, "matched_fields": 3, "reference_fields": 4, "predicted_fields": 4, "non_null_field_accuracy": 0.75, "object_exact_match": false, "attempts": 1, "retries": 0, "total_seconds": 9.2738}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 457, "image": "image_b9f7b953df00ce059f0e5928_jpg.rf.3a35d091c9cf16a7366cf37ff144c4c6.jpg", "expected": "[{\"bbox\":[2131,360,2218,452],\"text\":\"Q\"},{\"bbox\":[1994,501,2070,590],\"text\":\"H\"},{\"bbox\":[2172,504,2191,591],\"text\":\"I\"},{\"bbox\":[2292,535,2365,630],\"text\":\"S\"},{\"bbox\":[2283,685,2355,772],\"text\":\"T\"},{\"bbox\":[2287,826,2373,916],\"text\":\"O\"},{\"bbox\":[2141,956,2226,1046],\"text\":\"R\"},{\"bbox\":[1993,965,2079,1055],\"text\":\"O\"},{\"bbox\":[1831,968,1945,1059],\"text\":\"W\"},{\"bbox\":[2297,969,2375,1059],\"text\":\"N\"},{\"bbox\":[2311,1112,2380,1202],\"text\":\"E\"},{\"bbox\":[1853,1117,1940,1207],\"text\":\"A\"},{\"bbox\":[1564,1252,1635,1343],\"text\":\"B\"},{\"bbox\":[1704,1252,1790,1344],\"text\":\"A\"},{\"bbox\":[2013,1261,2092,1352],\"text\":\"D\"},{\"bbox\":[1871,1265,1931,1356],\"text\":\"L\"},{\"bbox\":[1569,1401,1642,1492],\"text\":\"U\"},{\"bbox\":[1860,1413,1934,1504],\"text\":\"T\"},{\"bbox\":[1276,1526,1329,1617],\"text\":\"J\"},{\"bbox\":[1411,1532,1497,1624],\"text\":\"O\"},{\"bbox\":[1565,1549,1648,1641],\"text\":\"Y\"},{\"bbox\":[1865,1560,1940,1652],\"text\":\"Z\"},{\"bbox\":[1260,1674,1346,1767],\"text\":\"A\"},{\"bbox\":[1571,1811,1643,1902],\"text\":\"T\"},{\"bbox\":[1422,1814,1495,1907],\"text\":\"U\"},{\"bbox\":[1264,1822,1351,1916],\"text\":\"G\"},{\"bbox\":[1270,1971,1343,2065],\"text\":\"U\"},{\"bbox\":[1262,2121,1349,2217],\"text\":\"A\"},{\"bbox\":[1724,2252,1790,2347],\"text\":\"F\"},{\"bbox\":[1571,2260,1642,2354],\"text\":\"E\"},{\"bbox\":[1446,2268,1468,2363],\"text\":\"I\"},{\"bbox\":[1261,2276,1346,2370],\"text\":\"R\"},{\"bbox\":[1107,2278,1195,2375],\"text\":\"G\"},{\"bbox\":[1753,2408,1776,2504],\"text\":\"I\"},{\"bbox\":[1892,2555,1967,2654],\"text\":\"E\"},{\"bbox\":[1730,2560,1817,2658],\"text\":\"V\"},{\"bbox\":[1580,2571,1669,2669],\"text\":\"O\"},{\"bbox\":[1428,2578,1509,2675],\"text\":\"D\"},{\"bbox\":[1749,2718,1825,2818],\"text\":\"E\"},{\"bbox\":[1442,2733,1517,2834],\"text\":\"E\"},{\"bbox\":[1449,2892,1525,2994],\"text\":\"E\"},{\"bbox\":[1468,3058,1549,3157],\"text\":\"D\"},{\"bbox\":[1313,3065,1396,3169],\"text\":\"N\"},{\"bbox\":[1154,3070,1245,3172],\"text\":\"A\"},{\"bbox\":[1003,3080,1081,3178],\"text\":\"H\"},{\"bbox\":[698,3095,779,3194],\"text\":\"K\"},{\"bbox\":[1010,3240,1086,3339],\"text\":\"U\"},{\"bbox\":[705,3257,778,3357],\"text\":\"E\"},{\"bbox\":[854,3404,945,3506],\"text\":\"O\"},{\"bbox\":[1019,3404,1096,3503],\"text\":\"T\"},{\"bbox\":[708,3422,772,3522],\"text\":\"L\"},{\"bbox\":[708,3584,784,3684],\"text\":\"P\"},{\"bbox\":[577,3589,600,3691],\"text\":\"I\"},{\"bbox\":[387,3606,471,3707],\"text\":\"I\"}]", "predicted": "[{\"box_2d\": [90, 704, 113, 734], \"text\": \"Q\"}, {\"box_2d\": [123, 661, 146, 686], \"text\": \"H\"}, {\"box_2d\": [125, 718, 147, 723], \"text\": \"I\"}, {\"box_2d\": [133, 757, 155, 783], \"text\": \"S\"}, {\"box_2d\": [169, 758, 191, 781], \"text\": \"T\"}, {\"box_2d\": [205, 756, 227, 785], \"text\": \"O\"}, {\"box_2d\": [237, 709, 259, 734], \"text\": \"R\"}, {\"box_2d\": [240, 657, 261, 687], \"text\": \"O\"}, {\"box_2d\": [240, 761, 262, 785], \"text\": \"N\"}, {\"box_2d\": [241, 606, 262, 643], \"text\": \"W\"}, {\"box_2d\": [276, 765, 298, 787], \"text\": \"E\"}, {\"box_2d\": [277, 613, 299, 642], \"text\": \"A\"}, {\"box_2d\": [310, 518, 332, 542], \"text\": \"B\"}, {\"box_2d\": [312, 563, 333, 591], \"text\": \"A\"}, {\"box_2d\": [313, 666, 335, 691], \"text\": \"D\"}, {\"box_2d\": [314, 619, 336, 639], \"text\": \"L\"}, {\"box_2d\": [347, 520, 369, 543], \"text\": \"U\"}, {\"box_2d\": [350, 615, 372, 639], \"text\": \"T\"}, {\"box_2d\": [378, 421, 400, 440], \"text\": \"J\"}, {\"box_2d\": [380, 466, 402, 495], \"text\": \"O\"}, {\"box_2d\": [383, 518, 406, 543], \"text\": \"Y\"}, {\"box_2d\": [387, 616, 409, 640], \"text\": \"Z\"}, {\"box_2d\": [415, 417, 437, 445], \"text\": \"A\"}, {\"box_2d\": [449, 468, 472, 494], \"text\": \"U\"}, {\"box_2d\": [449, 520, 471, 544], \"text\": \"T\"}, {\"box_2d\": [452, 418, 474, 447], \"text\": \"G\"}, {\"box_2d\": [489, 419, 512, 444], \"text\": \"U\"}, {\"box_2d\": [526, 417, 549, 447], \"text\": \"A\"}, {\"box_2d\": [558, 571, 581, 591], \"text\": \"F\"}, {\"box_2d\": [560, 520, 583, 543], \"text\": \"E\"}, {\"box_2d\": [562, 480, 584, 485], \"text\": \"I\"}, {\"box_2d\": [563, 418, 586, 444], \"text\": \"R\"}, {\"box_2d\": [564, 367, 588, 396], \"text\": \"G\"}, {\"box_2d\": [597, 581, 619, 586], \"text\": \"I\"}, {\"box_2d\": [633, 626, 657, 649], \"text\": \"E\"}, {\"box_2d\": [636, 522, 661, 552], \"text\": \"O\"}, {\"box_2d\": [636, 573, 659, 600], \"text\": \"V\"}, {\"box_2d\": [639, 473, 663, 499], \"text\": \"D\"}, {\"box_2d\": [674, 579, 699, 603], \"text\": \"E\"}, {\"box_2d\": [678, 478, 702, 502], \"text\": \"E\"}, {\"box_2d\": [718, 480, 742, 505], \"text\": \"E\"}, {\"box_2d\": [757, 487, 781, 512], \"text\": \"D\"}, {\"box_2d\": [760, 434, 784, 460], \"text\": \"N\"}, {\"box_2d\": [762, 332, 786, 357], \"text\": \"H\"}, {\"box_2d\": [762, 381, 786, 411], \"text\": \"A\"}, {\"box_2d\": [767, 233, 790, 258], \"text\": \"K\"}, {\"box_2d\": [802, 334, 827, 360], \"text\": \"U\"}, {\"box_2d\": [806, 234, 831, 258], \"text\": \"E\"}, {\"box_2d\": [843, 336, 868, 362], \"text\": \"T\"}, {\"box_2d\": [845, 282, 870, 313], \"text\": \"O\"}, {\"box_2d\": [846, 235, 871, 257], \"text\": \"L\"}, {\"box_2d\": [888, 235, 912, 259], \"text\": \"P\"}, {\"box_2d\": [891, 194, 916, 198], \"text\": \"I\"}, {\"box_2d\": [893, 129, 919, 157], \"text\": \"D\"}]", "correct": false, "input_tokens": 1301, "output_tokens": 1731, "elapsed_seconds": 21.98693287500646, "metadata": {"question": "{\"question\": \"Locate and transcribe the large letter on every visible letter tile.\", \"specification\": \"Use one tight box around each letter, not the tile boundary; keep adjacent tiles separate. Include rotated letters; exclude point values, blank tiles and background text. Return plain text, not LaTeX.\\n\\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\", \"task\": \"localization_recognition\"}", "sample_id": "3d274e441c7b2b2e611129fe1cd95355b1acf3bae32feb497b64f3041ba07287", "category": "localization_recognition", "subset": "c7e0eb346c8e2ba1", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "efc4f04d1cc35f0af6d499f4a953b41b0781389e36e07ddf0b5df3cf1e402d9b", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe the large letter on every visible letter tile.\n\nUse one tight box around each letter, not the tile boundary; keep adjacent tiles separate. Include rotated letters; exclude point values, blank tiles and background text. Return plain text, not LaTeX.\n\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 0.9815, "status": "ok", "format_compliant": true, "detection_f1": 1.0, "matched_regions": 53, "reference_regions": 54, "predicted_regions": 54, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 22.5283}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 458, "image": "image_b9f7b953df00ce059f0e5928_jpg.rf.3a35d091c9cf16a7366cf37ff144c4c6.jpg", "expected": "BALD\nBUY\nDEED\nDIP\nDOVE\nFIVE\nGRIEF\nGUT\nHAND\nHIS\nHUT\nJAGUAR\nJOY\nKELP\nLOT\nQI\nSTONE\nWALTZ\nWORN", "predicted": "BALD\nBUY\nDEED\nDIP\nDOVE\nFIVE\nGRIEF\nGUT\nHAND\nHIS\nHUT\nJAGUAR\nJOY\nKELP\nLOT\nQI\nSTONE\nWALTZ\nWORN", "correct": true, "input_tokens": 1172, "output_tokens": 53, "elapsed_seconds": 9.4120680000633, "metadata": {"question": "{\"question\": \"Read all words formed by the letter tiles, including rotated words. Include only words valid in the Merriam-Webster Official Scrabble Players Dictionary. Return them in uppercase, one word per line, in alphabetical order. Preserve spelling and repeated words; do not correct or rearrange letters to make valid words. Ignore isolated letters and background text. Return only the words, without explanations or Markdown.\", \"task\": \"transcription\"}", "sample_id": "d9b2829c238283551444cb91e38be4d7e92ec1c2e93502cda9bdddb9f6051bee", "category": "transcription", "subset": "1b7d212231bfff95", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "efc4f04d1cc35f0af6d499f4a953b41b0781389e36e07ddf0b5df3cf1e402d9b", "text_protocol": "mixed-text-v2", "scoring_profile": "transcription", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read all words formed by the letter tiles, including rotated words. Include only words valid in the Merriam-Webster Official Scrabble Players Dictionary. Return them in uppercase, one word per line, in alphabetical order. Preserve spelling and repeated words; do not correct or rearrange letters to make valid words. Ignore isolated letters and background text. Return only the words, without explanations or Markdown.", "match_method": "transcription", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 9.9801}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 459, "image": "image_ca7c012223fa2db528f0601e_jpg.rf.a628686a40055fef160c02033f872604.jpg", "expected": "94.0", "predicted": "94.0", "correct": true, "input_tokens": 1131, "output_tokens": 8, "elapsed_seconds": 16.022750167059712, "metadata": {"question": "{\"question\": \"Read the main temperature value shown on the thermometer display. Return only the numeric reading, preserving the decimal point and trailing zeros. Exclude units and icons. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "d6f45ad8840cc25d421d7eb02b8b85c042e43e4230f56e57689e442a40a58926", "category": "single_string", "subset": "86f51b3c3dae6d11", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "f70e6e39ea4bd92651481bc504f069f966e1d251269f40dde63bd32af7b9857c", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the main temperature value shown on the thermometer display. Return only the numeric reading, preserving the decimal point and trailing zeros. Exclude units and icons. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 16.5335}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 460, "image": "image_7741fef515874e86dc6044f7_jpg.rf.af4823ea0b348beae0a23e896a1b24f7.jpg", "expected": "{\"grading\":{\"year\":\"1999\",\"set_name\":\"FIRST MOVIE PROMO\",\"grade\":\"8.5\",\"certification_number\":\"7820186\"},\"card\":{\"name\":\"Pikachu\",\"hp\":\"50\",\"evolves_from\":null,\"card_number\":\"4\",\"illustrator\":\"Ken Sugimori\"}}", "predicted": "{\n \"grading\": {\n \"year\": \"1999\",\n \"set_name\": \"POKEMON FIRST MOVIE PROMO\",\n \"grade\": \"8.5\",\n \"certification_number\": \"7820186\"\n },\n \"card\": {\n \"name\": \"Pikachu\",\n \"hp\": \"50\",\n \"evolves_from\": null,\n \"card_number\": \"4\",\n \"illustrator\": \"Ken Sugimori\"\n }\n}", "correct": false, "input_tokens": 1347, "output_tokens": 127, "elapsed_seconds": 7.639478917000815, "metadata": {"question": "{\"question\": \"Extract the information printed on this SGC-graded trading card and its holder. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"grading\\\": {\\n \\\"year\\\": null,\\n \\\"set_name\\\": null,\\n \\\"grade\\\": null,\\n \\\"certification_number\\\": null\\n },\\n \\\"card\\\": {\\n \\\"name\\\": null,\\n \\\"hp\\\": null,\\n \\\"evolves_from\\\": null,\\n \\\"card_number\\\": null,\\n \\\"illustrator\\\": null\\n }\\n}\\n\\nRead grading fields from the holder and card fields from the card. Return the numeric grade only (e.g., \u201c8.5 NM/MT+\u201d \u2192 \u201c8.5\u201d). Exclude gameplay suffixes and level indicators from Pok\u00e9mon names (e.g., \u201cLatias ex\u201d \u2192 \u201cLatias\u201d). Return HP as digits only (e.g., \u201c120 HP\u201d \u2192 \u201c120\u201d).\\n\\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "03e8eea220d06cd2e6005fdb922bc3c3d6c2e85b93a23339e3d5be5002efc76a", "category": "structured", "subset": "6c56b14aa8dbe996", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "3a6785d1e3f3634b72d6e3e89a6c082ec0ddf09f659eafc3a84ad0ce7f13f877", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on this SGC-graded trading card and its holder. Return only a valid JSON object with these fields:\n\n{\n \"grading\": {\n \"year\": null,\n \"set_name\": null,\n \"grade\": null,\n \"certification_number\": null\n },\n \"card\": {\n \"name\": null,\n \"hp\": null,\n \"evolves_from\": null,\n \"card_number\": null,\n \"illustrator\": null\n }\n}\n\nRead grading fields from the holder and card fields from the card. Return the numeric grade only (e.g., \u201c8.5 NM/MT+\u201d \u2192 \u201c8.5\u201d). Exclude gameplay suffixes and level indicators from Pok\u00e9mon names (e.g., \u201cLatias ex\u201d \u2192 \u201cLatias\u201d). Return HP as digits only (e.g., \u201c120 HP\u201d \u2192 \u201c120\u201d).\n\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 0.8889, "status": "ok", "format_compliant": true, "matched_fields": 8, "reference_fields": 9, "predicted_fields": 9, "non_null_field_accuracy": 0.875, "object_exact_match": false, "attempts": 1, "retries": 0, "total_seconds": 7.7365}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 461, "image": "image_aa8330be2ef7aff42720bb2b_jpg.rf.e7f05fbfe6d12f3d827f0badc3287bd6.jpg", "expected": "KMP3-06615", "predicted": "KMP3-06615", "correct": true, "input_tokens": 1168, "output_tokens": 13, "elapsed_seconds": 3.9908936669817194, "metadata": {"question": "{\"question\": \"Read the most prominent locomotive or carriage identification code in this image. Include its letter prefix and all digits. Remove spaces; preserve printed hyphens and other punctuation. Exclude route names, depot names and technical specifications. Return only the code, or null if unreadable. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "c5bbfc8d87d7a7f8e1a1e5a319668d54dbaf1b2ce85d1139f421b7f45c57f66c", "category": "single_string", "subset": "4a0ef4856867c9de", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "8e7d4394718a2d47ef105dc341413eff9e889a176b4a8bda59a8f9dcaaa11e25", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the most prominent locomotive or carriage identification code in this image. Include its letter prefix and all digits. Remove spaces; preserve printed hyphens and other punctuation. Exclude route names, depot names and technical specifications. Return only the code, or null if unreadable. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 4.0214}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 462, "image": "image_167bfd7cc4e0874503facd66_jpg.rf.63b0e341410cb7145d21742cf87806a3.jpg", "expected": "01882.2", "predicted": "01882.2", "correct": true, "input_tokens": 1135, "output_tokens": 11, "elapsed_seconds": 2.962562291068025, "metadata": {"question": "{\"question\": \"Read the total mileage shown on the odometer in this image. Return only the numeric reading, preserving leading zeros and any decimal separator. Do not include the trip reading, units, or explain.\", \"task\": \"single_string\"}", "sample_id": "973b90c7f672126316a142c0846ca6b1006eb482f28ff889e474961c7a5254e6", "category": "single_string", "subset": "12ff5ae87687aff8", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "89ef0e5bb5b4276037fc3e535da3ce725bdaf36eb403c42627310588a64a2375", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the total mileage shown on the odometer in this image. Return only the numeric reading, preserving leading zeros and any decimal separator. Do not include the trip reading, units, or explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 2.9934}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 463, "image": "image_44beab8525de5867c99a026b_jpg.rf.9ca5e13e2f95c5d2a30d0991ff1b19a7.jpg", "expected": "{\"heat_number\":\"A79336\",\"billet_id\":\"1033\"}", "predicted": "{\n \"heat_number\": \"A79336\",\n \"billet_id\": \"1033\"\n}", "correct": true, "input_tokens": 1249, "output_tokens": 36, "elapsed_seconds": 2.4415213329484686, "metadata": {"question": "{\"question\": \"Extract the information printed on the end of this metal billet. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"heat_number\\\": null,\\n \\\"billet_id\\\": null\\n}\\n\\nUse the letter-prefixed code for heat_number and the separate shorter numeric code for billet_id. Preserve leading zeros and omit spaces within codes.\\n\\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "dc6024c698487a7b114ac621ce62ce40a6d2b69616cfe4b7d60a2b6e3f09e200", "category": "structured", "subset": "84ce444ef86dc04d", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "75eb3909e732232d6aff5bd3bb97a9290f224325ed4ec4a4aae3624758fadb75", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on the end of this metal billet. Return only a valid JSON object with these fields:\n\n{\n \"heat_number\": null,\n \"billet_id\": null\n}\n\nUse the letter-prefixed code for heat_number and the separate shorter numeric code for billet_id. Preserve leading zeros and omit spaces within codes.\n\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 2, "reference_fields": 2, "predicted_fields": 2, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 2.4469}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 464, "image": "image_6116f045220860cba5fdcfe2_jpg.rf.e2a2960b4bc106e1a71323c11d5ddd5e.jpg", "expected": "{\"serving_size\":\"1 pudding cup (92g)\",\"servings_per_container\":\"4\",\"calories\":\"110\",\"total_fat\":{\"amount\":\"2.5g\",\"daily_value\":\"4%\"},\"saturated_fat\":{\"amount\":\"1.5g\",\"daily_value\":\"8%\"},\"trans_fat\":{\"amount\":\"0g\",\"daily_value\":null},\"cholesterol\":{\"amount\":\"0mg\",\"daily_value\":\"0%\"},\"sodium\":{\"amount\":\"125mg\",\"daily_value\":\"5%\"},\"total_carbohydrate\":{\"amount\":\"20g\",\"daily_value\":\"7%\"},\"dietary_fiber\":{\"amount\":\"less than 1g\",\"daily_value\":\"4%\"},\"total_sugars\":{\"amount\":\"13g\",\"daily_value\":null},\"protein\":{\"amount\":\"1g\",\"daily_value\":null},\"vitamin_a\":{\"amount\":null,\"daily_value\":\"0%\"},\"vitamin_c\":{\"amount\":null,\"daily_value\":\"0%\"},\"calcium\":{\"amount\":null,\"daily_value\":\"30%\"},\"iron\":{\"amount\":null,\"daily_value\":\"0%\"},\"potassium\":{\"amount\":\"65mg\",\"daily_value\":\"2%\"}}", "predicted": "{\n \"serving_size\": \"1 pudding cup (92g)\",\n \"servings_per_container\": \"4\",\n \"calories\": \"110\",\n \"total_fat\": {\n \"amount\": \"2.5g\",\n \"daily_value\": \"4%\"\n },\n \"saturated_fat\": {\n \"amount\": \"1.5g\",\n \"daily_value\": \"8%\"\n },\n \"trans_fat\": {\n \"amount\": \"0g\",\n \"daily_value\": null\n },\n \"cholesterol\": {\n \"amount\": \"0mg\",\n \"daily_value\": \"0%\"\n },\n \"sodium\": {\n \"amount\": \"125mg\",\n \"daily_value\": \"5%\"\n },\n \"total_carbohydrate\": {\n \"amount\": \"20g\",\n \"daily_value\": \"7%\"\n },\n \"dietary_fiber\": {\n \"amount\": \"less than 1g\",\n \"daily_value\": \"4%\"\n },\n \"total_sugars\": {\n \"amount\": \"13g\",\n \"daily_value\": null\n },\n \"protein\": {\n \"amount\": \"1g\",\n \"daily_value\": null\n },\n \"vitamin_a\": {\n \"amount\": null,\n \"daily_value\": \"0%\"\n },\n \"vitamin_c\": {\n \"amount\": null,\n \"daily_value\": \"0%\"\n },\n \"calcium\": {\n \"amount\": null,\n \"daily_value\": \"30%\"\n },\n \"iron\": {\n \"amount\": null,\n \"daily_value\": \"0%\"\n },\n \"potassium\": {\n \"amount\": \"65mg\",\n \"daily_value\": \"2%\"\n }\n}", "correct": true, "input_tokens": 1629, "output_tokens": 456, "elapsed_seconds": 11.542177500086837, "metadata": {"question": "{\"question\": \"Extract the information printed in the main Nutrition Facts panel in this image. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"serving_size\\\": null,\\n \\\"servings_per_container\\\": null,\\n \\\"calories\\\": null,\\n \\\"total_fat\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"saturated_fat\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"trans_fat\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"cholesterol\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"sodium\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"total_carbohydrate\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"dietary_fiber\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"total_sugars\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"protein\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"vitamin_a\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"vitamin_c\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"calcium\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"iron\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"potassium\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null}\\n}\\n\\nUse per-serving values as packaged, not prepared or per-container values. Use Calories, not Calories from Fat. Map \u201cSugars\u201d to total_sugars.\\n\\nKeep nutrient amounts and daily-value percentages separate (e.g., \u201cCalcium 260 mg 20%\u201d \u2192 {\\\"amount\\\": \\\"260mg\\\", \\\"daily_value\\\": \\\"20%\\\"}). Preserve printed units and qualifiers; do not calculate or convert values.\\n\\nFormat serving_size as household measure followed by metric quantity in parentheses (e.g., \u201c2 pieces 30 g\u201d \u2192 \u201c2 pieces (30g)\u201d). If only one measure is printed, return it alone. Preserve additional serving-size details.\\n\\nRemove spaces between numbers and units or % signs. Preserve all other text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nInclude every key. Use strings for extracted values and null for missing or unreadable values, including individual amounts or percentages. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "e17f3018d685f42b68c692038e65c9a46b580801064e0637280ddf31a8e8528f", "category": "structured", "subset": "3d0c26ee8395584a", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "2c55c913f57dd122d586ed298b44c10c9e2f887d7420fc6b3c6947cbad966820", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed in the main Nutrition Facts panel in this image. Return only a valid JSON object with these fields:\n\n{\n \"serving_size\": null,\n \"servings_per_container\": null,\n \"calories\": null,\n \"total_fat\": {\"amount\": null, \"daily_value\": null},\n \"saturated_fat\": {\"amount\": null, \"daily_value\": null},\n \"trans_fat\": {\"amount\": null, \"daily_value\": null},\n \"cholesterol\": {\"amount\": null, \"daily_value\": null},\n \"sodium\": {\"amount\": null, \"daily_value\": null},\n \"total_carbohydrate\": {\"amount\": null, \"daily_value\": null},\n \"dietary_fiber\": {\"amount\": null, \"daily_value\": null},\n \"total_sugars\": {\"amount\": null, \"daily_value\": null},\n \"protein\": {\"amount\": null, \"daily_value\": null},\n \"vitamin_a\": {\"amount\": null, \"daily_value\": null},\n \"vitamin_c\": {\"amount\": null, \"daily_value\": null},\n \"calcium\": {\"amount\": null, \"daily_value\": null},\n \"iron\": {\"amount\": null, \"daily_value\": null},\n \"potassium\": {\"amount\": null, \"daily_value\": null}\n}\n\nUse per-serving values as packaged, not prepared or per-container values. Use Calories, not Calories from Fat. Map \u201cSugars\u201d to total_sugars.\n\nKeep nutrient amounts and daily-value percentages separate (e.g., \u201cCalcium 260 mg 20%\u201d \u2192 {\"amount\": \"260mg\", \"daily_value\": \"20%\"}). Preserve printed units and qualifiers; do not calculate or convert values.\n\nFormat serving_size as household measure followed by metric quantity in parentheses (e.g., \u201c2 pieces 30 g\u201d \u2192 \u201c2 pieces (30g)\u201d). If only one measure is printed, return it alone. Preserve additional serving-size details.\n\nRemove spaces between numbers and units or % signs. Preserve all other text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nInclude every key. Use strings for extracted values and null for missing or unreadable values, including individual amounts or percentages. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 31, "reference_fields": 31, "predicted_fields": 31, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 11.8483}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 465, "image": "image_6163e7fd90ec240467bb02b7_jpg.rf.45316b7e7b58792258be6a67ee0172ba.jpg", "expected": "{\"serving_size\":\"1/2 cup (120mL) condensed soup\",\"servings_per_container\":\"about 2.5\",\"calories\":\"60\",\"total_fat\":{\"amount\":\"2.5g\",\"daily_value\":\"4%\"},\"saturated_fat\":{\"amount\":\"0.5g\",\"daily_value\":\"3%\"},\"trans_fat\":{\"amount\":\"0g\",\"daily_value\":null},\"cholesterol\":{\"amount\":\"0mg\",\"daily_value\":\"0%\"},\"sodium\":{\"amount\":\"750mg\",\"daily_value\":\"31%\"},\"total_carbohydrate\":{\"amount\":\"9g\",\"daily_value\":\"3%\"},\"dietary_fiber\":{\"amount\":\"1g\",\"daily_value\":\"4%\"},\"total_sugars\":{\"amount\":\"0g\",\"daily_value\":null},\"protein\":{\"amount\":\"1g\",\"daily_value\":null},\"vitamin_a\":{\"amount\":null,\"daily_value\":\"0%\"},\"vitamin_c\":{\"amount\":null,\"daily_value\":\"0%\"},\"calcium\":{\"amount\":null,\"daily_value\":\"2%\"},\"iron\":{\"amount\":null,\"daily_value\":\"0%\"},\"potassium\":{\"amount\":\"60mg\",\"daily_value\":\"2%\"}}", "predicted": "{\n \"serving_size\": \"1/2 cup (120mL) condensed soup\",\n \"servings_per_container\": \"about 2.5\",\n \"calories\": \"60\",\n \"total_fat\": {\"amount\": \"2.5g\", \"daily_value\": \"4%\"},\n \"saturated_fat\": {\"amount\": \"0.5g\", \"daily_value\": \"3%\"},\n \"trans_fat\": {\"amount\": \"0g\", \"daily_value\": null},\n \"cholesterol\": {\"amount\": \"0mg\", \"daily_value\": \"0%\"},\n \"sodium\": {\"amount\": \"750mg\", \"daily_value\": \"31%\"},\n \"total_carbohydrate\": {\"amount\": \"9g\", \"daily_value\": \"3%\"},\n \"dietary_fiber\": {\"amount\": \"1g\", \"daily_value\": \"4%\"},\n \"total_sugars\": {\"amount\": \"0g\", \"daily_value\": null},\n \"protein\": {\"amount\": \"1g\", \"daily_value\": null},\n \"vitamin_a\": {\"amount\": null, \"daily_value\": \"0%\"},\n \"vitamin_c\": {\"amount\": null, \"daily_value\": \"0%\"},\n \"calcium\": {\"amount\": null, \"daily_value\": \"2%\"},\n \"iron\": {\"amount\": null, \"daily_value\": \"0%\"},\n \"potassium\": {\"amount\": \"60mg\", \"daily_value\": \"2%\"}\n}", "correct": true, "input_tokens": 1629, "output_tokens": 362, "elapsed_seconds": 39.67855570896063, "metadata": {"question": "{\"question\": \"Extract the information printed in the main Nutrition Facts panel in this image. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"serving_size\\\": null,\\n \\\"servings_per_container\\\": null,\\n \\\"calories\\\": null,\\n \\\"total_fat\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"saturated_fat\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"trans_fat\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"cholesterol\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"sodium\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"total_carbohydrate\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"dietary_fiber\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"total_sugars\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"protein\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"vitamin_a\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"vitamin_c\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"calcium\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"iron\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"potassium\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null}\\n}\\n\\nUse per-serving values as packaged, not prepared or per-container values. Use Calories, not Calories from Fat. Map \u201cSugars\u201d to total_sugars.\\n\\nKeep nutrient amounts and daily-value percentages separate (e.g., \u201cCalcium 260 mg 20%\u201d \u2192 {\\\"amount\\\": \\\"260mg\\\", \\\"daily_value\\\": \\\"20%\\\"}). Preserve printed units and qualifiers; do not calculate or convert values.\\n\\nFormat serving_size as household measure followed by metric quantity in parentheses (e.g., \u201c2 pieces 30 g\u201d \u2192 \u201c2 pieces (30g)\u201d). If only one measure is printed, return it alone. Preserve additional serving-size details.\\n\\nRemove spaces between numbers and units or % signs. Preserve all other text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nInclude every key. Use strings for extracted values and null for missing or unreadable values, including individual amounts or percentages. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "34d4c159c57a73e073f10d3c6322aae44fe68228abcfa0d35e63a2fcef145fe4", "category": "structured", "subset": "3d0c26ee8395584a", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "ddb3d1f30f117a066764270d740f3d0b2df8e606198de18ea1a633753b2e1d38", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed in the main Nutrition Facts panel in this image. Return only a valid JSON object with these fields:\n\n{\n \"serving_size\": null,\n \"servings_per_container\": null,\n \"calories\": null,\n \"total_fat\": {\"amount\": null, \"daily_value\": null},\n \"saturated_fat\": {\"amount\": null, \"daily_value\": null},\n \"trans_fat\": {\"amount\": null, \"daily_value\": null},\n \"cholesterol\": {\"amount\": null, \"daily_value\": null},\n \"sodium\": {\"amount\": null, \"daily_value\": null},\n \"total_carbohydrate\": {\"amount\": null, \"daily_value\": null},\n \"dietary_fiber\": {\"amount\": null, \"daily_value\": null},\n \"total_sugars\": {\"amount\": null, \"daily_value\": null},\n \"protein\": {\"amount\": null, \"daily_value\": null},\n \"vitamin_a\": {\"amount\": null, \"daily_value\": null},\n \"vitamin_c\": {\"amount\": null, \"daily_value\": null},\n \"calcium\": {\"amount\": null, \"daily_value\": null},\n \"iron\": {\"amount\": null, \"daily_value\": null},\n \"potassium\": {\"amount\": null, \"daily_value\": null}\n}\n\nUse per-serving values as packaged, not prepared or per-container values. Use Calories, not Calories from Fat. Map \u201cSugars\u201d to total_sugars.\n\nKeep nutrient amounts and daily-value percentages separate (e.g., \u201cCalcium 260 mg 20%\u201d \u2192 {\"amount\": \"260mg\", \"daily_value\": \"20%\"}). Preserve printed units and qualifiers; do not calculate or convert values.\n\nFormat serving_size as household measure followed by metric quantity in parentheses (e.g., \u201c2 pieces 30 g\u201d \u2192 \u201c2 pieces (30g)\u201d). If only one measure is printed, return it alone. Preserve additional serving-size details.\n\nRemove spaces between numbers and units or % signs. Preserve all other text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nInclude every key. Use strings for extracted values and null for missing or unreadable values, including individual amounts or percentages. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 31, "reference_fields": 31, "predicted_fields": 31, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 40.1871}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 466, "image": "image_e1f3e8f6c805bc52de7f9b11_jpg.rf.9a71427ac108914516a4b2b8c5087844.jpg", "expected": "{\"application_id\":\"1023654\",\"application_date\":\"7032029\",\"product_type\":\"Home Equity\",\"tenure_months\":\"012\",\"loan_amount\":\"50000000\",\"applicant_name\":\"MUKUL\",\"birth_date\":\"03052001\",\"current_address\":\"FLAT NO. 101 SRI GAJANANA NILAYA VAILAMYA LAYOUT\",\"current_city\":\"BENGALURU\",\"current_state\":\"KARNATAKA\",\"current_postal_code\":\"560035\",\"current_mobile\":\"9876543210\",\"pan_number\":\"FWPNO1234F\"}", "predicted": "{\n \"application_id\": \"1023654\",\n \"application_date\": \"7032029\",\n \"product_type\": \"Home Equity\",\n \"tenure_months\": \"012\",\n \"loan_amount\": \"50000000\",\n \"applicant_name\": \"MUKUL\",\n \"birth_date\": \"03052001\",\n \"current_address\": \"FLAT NO. 101 SRI GAJANANA NILAYA VAILANYA LAYOUT\",\n \"current_city\": \"BENGALURU\",\n \"current_state\": \"KARNATAKA\",\n \"current_postal_code\": \"560035\",\n \"current_mobile\": \"9876543210\",\n \"pan_number\": \"FWPN01234F\"\n}", "correct": false, "input_tokens": 1404, "output_tokens": 213, "elapsed_seconds": 5.417704958003014, "metadata": {"question": "{\"question\": \"Extract the completed applicant and loan fields from this loan application. Return only a valid JSON object with this structure:\\n\\n{\\n \\\"application_id\\\": null,\\n \\\"application_date\\\": null,\\n \\\"product_type\\\": null,\\n \\\"tenure_months\\\": null,\\n \\\"loan_amount\\\": null,\\n \\\"applicant_name\\\": null,\\n \\\"birth_date\\\": null,\\n \\\"current_address\\\": null,\\n \\\"current_city\\\": null,\\n \\\"current_state\\\": null,\\n \\\"current_postal_code\\\": null,\\n \\\"current_mobile\\\": null,\\n \\\"pan_number\\\": null\\n}\\n\\nUse Application ID No., not Application Form No. Read the current address, not the permanent address. Remove spaces between character boxes in identifiers and numbers; retain word spaces in names and addresses. For product_type, copy the single checked option; use null if none or several are selected. Transcribe date-box contents as written without inventing separators, even if malformed. Keep leading zeros in numbers.\\n\\nPreserve spelling, capitalization and punctuation; join line breaks within a field with spaces. Do not infer, correct or translate. Ignore filler dashes in unused boxes. For current_address, include only Current Residence Address lines, excluding the separately labelled landmark, city, state and postal-code fields. Use strings for values and null for missing or unreadable fields. Include every key. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "109a8a02fd738cbf58c79f5399d5c849314b889e4c47fce23d8d068b99776ffc", "category": "structured", "subset": "320cb142e1839899", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "55f5cca67ffe947bdd9a3ab327ac31791ba72704d5ff92d1fcad40bab491edf5", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the completed applicant and loan fields from this loan application. Return only a valid JSON object with this structure:\n\n{\n \"application_id\": null,\n \"application_date\": null,\n \"product_type\": null,\n \"tenure_months\": null,\n \"loan_amount\": null,\n \"applicant_name\": null,\n \"birth_date\": null,\n \"current_address\": null,\n \"current_city\": null,\n \"current_state\": null,\n \"current_postal_code\": null,\n \"current_mobile\": null,\n \"pan_number\": null\n}\n\nUse Application ID No., not Application Form No. Read the current address, not the permanent address. Remove spaces between character boxes in identifiers and numbers; retain word spaces in names and addresses. For product_type, copy the single checked option; use null if none or several are selected. Transcribe date-box contents as written without inventing separators, even if malformed. Keep leading zeros in numbers.\n\nPreserve spelling, capitalization and punctuation; join line breaks within a field with spaces. Do not infer, correct or translate. Ignore filler dashes in unused boxes. For current_address, include only Current Residence Address lines, excluding the separately labelled landmark, city, state and postal-code fields. Use strings for values and null for missing or unreadable fields. Include every key. Do not include explanations or Markdown.", "match_method": "structured", "score": 0.8462, "status": "ok", "format_compliant": true, "matched_fields": 11, "reference_fields": 13, "predicted_fields": 13, "non_null_field_accuracy": 0.8461538461538461, "object_exact_match": false, "attempts": 1, "retries": 0, "total_seconds": 5.5448}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 467, "image": "image_a55f806ce7be34a0734f8977_jpg.rf.54d448122ebd81b594d4bfb2bdf39118.jpg", "expected": "{\"grading\":{\"year\":\"1999\",\"set_name\":\"POKEMON BASE\",\"grade\":\"8\",\"certification_number\":\"1266635\"},\"card\":{\"name\":\"Charizard\",\"hp\":\"120\",\"evolves_from\":\"Charmeleon\",\"card_number\":\"4/102\",\"illustrator\":\"Mitsuhiro Arita\"}}", "predicted": "{\n \"grading\": {\n \"year\": \"1999\",\n \"set_name\": \"POKEMON BASE\",\n \"grade\": \"8\",\n \"certification_number\": \"1266635\"\n },\n \"card\": {\n \"name\": \"Charizard\",\n \"hp\": \"120\",\n \"evolves_from\": \"Charmeleon\",\n \"card_number\": \"4/102\",\n \"illustrator\": \"Mitsuhiro Arita\"\n }\n}", "correct": true, "input_tokens": 1364, "output_tokens": 130, "elapsed_seconds": 4.107385749928653, "metadata": {"question": "{\"question\": \"Extract the information printed on this SGC-graded trading card and its holder. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"grading\\\": {\\n \\\"year\\\": null,\\n \\\"set_name\\\": null,\\n \\\"grade\\\": null,\\n \\\"certification_number\\\": null\\n },\\n \\\"card\\\": {\\n \\\"name\\\": null,\\n \\\"hp\\\": null,\\n \\\"evolves_from\\\": null,\\n \\\"card_number\\\": null,\\n \\\"illustrator\\\": null\\n }\\n}\\n\\nRead grading fields from the holder and card fields from the card. Return the numeric grade only (e.g., \u201c8.5 NM/MT+\u201d \u2192 \u201c8.5\u201d). Exclude gameplay suffixes and level indicators from Pok\u00e9mon names (e.g., \u201cLatias ex\u201d \u2192 \u201cLatias\u201d). Return HP as digits only (e.g., \u201c120 HP\u201d \u2192 \u201c120\u201d).\\n\\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "94befa70ad6c19e91b34fb4d686ef890d993feae781f94033af7ef9a083a471e", "category": "structured", "subset": "6c56b14aa8dbe996", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "37f5482e28c203c529456d8d2f07e7462388cff9c099168a8c83533f30f20205", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on this SGC-graded trading card and its holder. Return only a valid JSON object with these fields:\n\n{\n \"grading\": {\n \"year\": null,\n \"set_name\": null,\n \"grade\": null,\n \"certification_number\": null\n },\n \"card\": {\n \"name\": null,\n \"hp\": null,\n \"evolves_from\": null,\n \"card_number\": null,\n \"illustrator\": null\n }\n}\n\nRead grading fields from the holder and card fields from the card. Return the numeric grade only (e.g., \u201c8.5 NM/MT+\u201d \u2192 \u201c8.5\u201d). Exclude gameplay suffixes and level indicators from Pok\u00e9mon names (e.g., \u201cLatias ex\u201d \u2192 \u201cLatias\u201d). Return HP as digits only (e.g., \u201c120 HP\u201d \u2192 \u201c120\u201d).\n\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 9, "reference_fields": 9, "predicted_fields": 9, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 4.1804}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 468, "image": "image_72a130eed08b66bb988ae8a6_jpg.rf.f318f905c227c2c99acd0e92d095819d.jpg", "expected": "250203", "predicted": "250203", "correct": true, "input_tokens": 1143, "output_tokens": 10, "elapsed_seconds": 2.2315861670067534, "metadata": {"question": "{\"question\": \"Read the six-digit code engraved on the metal surface. Return only the code as a string of digits, preserving leading zeros. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "fa07a196cc3a0d0e1e0d5477842421acf8abb9b117aa3e7a2928f42f7f6670f9", "category": "single_string", "subset": "f2a87f15a0d3eb96", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "151063d75e77cc4fc511ec3f8c1773d14f511ddaaeeea45f43cd8e287d17e1a2", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the six-digit code engraved on the metal surface. Return only the code as a string of digits, preserving leading zeros. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 2.2449}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 469, "image": "image_6cdb837298c334cd559f73d8_jpg.rf.6ac8f92bfe4df1fa3a13b446ebcce98a.jpg", "expected": "KA51MJ2778", "predicted": "KA51MJ2778", "correct": true, "input_tokens": 1196, "output_tokens": 12, "elapsed_seconds": 2.597131041926332, "metadata": {"question": "{\"question\": \"Read the registration number on the largest visible vehicle license plate. Return only the registration number, reading multiple lines from top to bottom, omitting spaces and preserving letters, digits, leading zeros and hyphens. Exclude country labels, vehicle branding and video overlays. Return null if the complete registration number is unreadable. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "5ebd4a2c4db8e915c553254f14ad81ec25c60c1064fd37b537db6266a14bbb05", "category": "single_string", "subset": "d883528f51470f78", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "4317443ace82ba361d9a54fa29dc76c6d141667175a3dd85bf8c08907c9fc67a", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the registration number on the largest visible vehicle license plate. Return only the registration number, reading multiple lines from top to bottom, omitting spaces and preserving letters, digits, leading zeros and hyphens. Exclude country labels, vehicle branding and video overlays. Return null if the complete registration number is unreadable. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 2.6587}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 470, "image": "image_795af7b3e264a152baa894ed_jpg.rf.b79f6782c37e0085034bfa1ff17758c1.jpg", "expected": "LC78327", "predicted": "LC78827", "correct": false, "input_tokens": 1135, "output_tokens": 10, "elapsed_seconds": 3.787002500030212, "metadata": {"question": "{\"question\": \"Read the batch or lot code printed on the blister pack. Return only the code, preserving letters, digits and separators. Exclude manufacturing and expiration dates and all other text. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "fe1a012c890cbe1e28bcd6e2b370f1a2eb8bc5e582fde22d4a87cbf3b0020a28", "category": "single_string", "subset": "d62695ff7dd95e0d", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "74b47eb9b1cd4bc04c14e50931de6d77bdab3769360ce949f1f0a7179d352853", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the batch or lot code printed on the blister pack. Return only the code, preserving letters, digits and separators. Exclude manufacturing and expiration dates and all other text. Do not explain.", "match_method": "single_string", "score": 0.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 3.9129}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 471, "image": "image_9b6d87aaaa46cfbbe82fc5e3_png_jpg.rf.948fc36e7835a2b0df88f1e64df12be5.jpg", "expected": "Allasia Gabriele\n\nNumero Sei\nRoggia Massimo\n\nL'anno mille ottocento ottantotto add\u00ec otto del mese\ndi Marzo ed alle ore tre pomeridiane nella sala Comunale\ndi Varzo aperta al pubblico.\nIo sottoscritto Allasia Gabriele Sindaco ed ufficiale\ndello Stato Civile del Comune di Varzo, avendo ricevuto\ndal Signor Procuratore del Re di Domodossola la copia\nautentica dell'atto di nascita di Roggia Massimo\nper essere trascritta nei registri dello Stato Civile di\nquesto Comune a senso di Legge ho proceduto alla trascri-\nzione dell'atto suddetto che \u00e8 del tenore seguente.\nConfederazione Svizzera - Cantone di Vaud. Circonda-\nrio dello Stato Civile di Mollondins.\nEstratto dal registro delle nascite volume A foglio\ntrecento ottanta.", "predicted": "Allasia Gabriele\n\nNumero Sei\nRoggia Massimo\n\nL'anno mille ottocento ottantotto add\u00ec otto del mese\ndi Marzo ed alle ore tre pomeridiane nella sala Comunale\ndi Varzo aperta al pubblico.\nIo sottoscritto Allasia Gabriele Sindaco ed ufficiale\ndello Stato Civile del Comune di Varzo, avendo ricevuto\ndal Signor Procuratore del Re di Domodossola la copia\nautentica dell'atto di nascita di Roggia Massimo\nper essere trascritta nei registri dello Stato Civile di\nquesto Comune a senso di Legge ho proceduto alla trascri-\nzione dell'atto suddetto che \u00e8 del tenore seguente.\nConfederazione Svizzera - Cantone di Vaud. Circondario\ndello Stato Civile di Molondin\nEstratto dal registro delle nascite volume A foglio\ntrecento settanta.", "correct": false, "input_tokens": 1161, "output_tokens": 192, "elapsed_seconds": 4.509142083930783, "metadata": {"question": "{\"question\": \"Transcribe all visible text in this document in reading order. Preserve the original language, spelling, capitalization, punctuation, and paragraph breaks. Omit blank ruling lines, decorative separators, and bleed-through; do not represent them with underscores or dashes. Return only the transcription, without editorial notes, translation, or explanation.\", \"task\": \"transcription\"}", "sample_id": "df33c67ee95f6d1b12ec36e1ecd34a4cc5508492d3b4971d9fb59cdcdb3ac51a", "category": "transcription", "subset": "87309538184438ef", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "b101cbaf47fc942effbce484b0346bfc52668cb0adb2a0c2e0ddef733e147ef3", "text_protocol": "mixed-text-v2", "scoring_profile": "transcription", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Transcribe all visible text in this document in reading order. Preserve the original language, spelling, capitalization, punctuation, and paragraph breaks. Omit blank ruling lines, decorative separators, and bleed-through; do not represent them with underscores or dashes. Return only the transcription, without editorial notes, translation, or explanation.", "match_method": "transcription", "score": 0.989, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 4.5613}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 472, "image": "image_a05468b56b3cd6d18843dd8e_jpg.rf.0763519b4e8acdc31404c8be3a24da7e.jpg", "expected": "W1", "predicted": "W1", "correct": true, "input_tokens": 1154, "output_tokens": 6, "elapsed_seconds": 2.801296249963343, "metadata": {"question": "{\"question\": \"Read the letters and numbers imprinted on the pill in this image. Return only the text, preserving capitalization and separating lines with a single space. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "3d13bef1a8314ec581211e89d944168381d5fee9fce9ff5ca0087755db2afc7f", "category": "single_string", "subset": "5c725e357739b9ce", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "eaa7bffd8b20d53757071d074a116f05f2afcb9eb5458f407e6e1111c76c3662", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the letters and numbers imprinted on the pill in this image. Return only the text, preserving capitalization and separating lines with a single space. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 2.8076}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 473, "image": "image_93abdc6227c8651afb6483bc_jpg.rf.11ff0335c90eedf9b1ee9b9aee7dc1eb.jpg", "expected": "{\"scientific_name\":\"Vinca pubescens d'Urv.\",\"collector\":\"J. Stone, M. Merello, M. Eristavi & N. Meniadze\",\"collection_number\":\"1760\",\"collection_date\":\"20 June 1999\",\"locality\":\"Batumi. Chorokhi River - on banks. Near Turkish border at confluence of Chorokhi and Matschakhela River. 41\u00b031'41\\\"N 041\u00b043'17\\\"E 50 m\"}", "predicted": "{\"scientific_name\": \"Vinca pubescens d'Urv.\", \"collector\": \"J. Stone, M. Merello, M. Eristavi & N. Meniadze\", \"collection_number\": \"1760\", \"collection_date\": \"20 June 1999\", \"locality\": \"Batumi. Chorokhi River - on banks. Near Turkish border at confluence of Chorokhi and Matschakhela River. 41\u00b031'41\\\"N 041\u00b043'17\\\"E 50 m\"}", "correct": true, "input_tokens": 1369, "output_tokens": 128, "elapsed_seconds": 3.864420917001553, "metadata": {"question": "{\"question\": \"Extract the information from the main specimen label in this herbarium image. Return only a valid JSON object with this structure:\\n\\n{\\n \\\"scientific_name\\\": null,\\n \\\"collector\\\": null,\\n \\\"collection_number\\\": null,\\n \\\"collection_date\\\": null,\\n \\\"locality\\\": null\\n}\\n\\nReturn one object for the main specimen label. Use only information on that label; exclude later identification slips, barcode/accession stickers and institutional stamps. Include the scientific name\u2019s printed rank and author. Use the collection date, not the identification date, and the collector\u2019s number, not a barcode or accession number. For locality, copy the locality, elevation and coordinates in reading order, including printed prefixes such as Alt.; join fragments with spaces and preserve punctuation. Exclude habitat notes. Use a geographic heading only when no locality is given, copying the place name without introductory wording. Do not add information from other labels. Use plain hyphens, apostrophes and double quotes, including coordinate primes.\\n\\nPreserve text as printed or handwritten, joining line breaks within a field with spaces. Do not infer missing information or translate. Include every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "2c352c4521e2349ecb758180bb5d8542bb785f4489e55e5bb85bf9be9e50c7c4", "category": "structured", "subset": "a46f70a1dc4301ad", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "1f6fc7600b260c43513e2c6456a84ce4b3559ab743632667afd17aab6aed8c12", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information from the main specimen label in this herbarium image. Return only a valid JSON object with this structure:\n\n{\n \"scientific_name\": null,\n \"collector\": null,\n \"collection_number\": null,\n \"collection_date\": null,\n \"locality\": null\n}\n\nReturn one object for the main specimen label. Use only information on that label; exclude later identification slips, barcode/accession stickers and institutional stamps. Include the scientific name\u2019s printed rank and author. Use the collection date, not the identification date, and the collector\u2019s number, not a barcode or accession number. For locality, copy the locality, elevation and coordinates in reading order, including printed prefixes such as Alt.; join fragments with spaces and preserve punctuation. Exclude habitat notes. Use a geographic heading only when no locality is given, copying the place name without introductory wording. Do not add information from other labels. Use plain hyphens, apostrophes and double quotes, including coordinate primes.\n\nPreserve text as printed or handwritten, joining line breaks within a field with spaces. Do not infer missing information or translate. Include every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 5, "reference_fields": 5, "predicted_fields": 5, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 3.9132}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 474, "image": "image_c7988adb96dceec5d1a3f9f2_jpg.rf.f4c81fd614d62ba2df6415e890213939.jpg", "expected": "[{\"bbox\":[145,56,215,64],\"text\":\"@peerlessposters\"},{\"bbox\":[443,56,498,64],\"text\":\"Sun/05/24/20\"},{\"bbox\":[150,558,219,579],\"text\":\"Scale\"},{\"bbox\":[342,555,490,565],\"text\":\"Scale can often energize the design\"},{\"bbox\":[342,567,462,576],\"text\":\"by changing what we expect.\"},{\"bbox\":[342,578,440,587],\"text\":\"Scale conveys meaning\"}]", "predicted": "[{\"box_2d\": [86, 691, 98, 777], \"text\": \"Sun/05/24/20\"}, {\"box_2d\": [86, 226, 102, 336], \"text\": \"@peerlessposters\"}, {\"box_2d\": [866, 533, 881, 766], \"text\": \"Scale can often energize the design\"}, {\"box_2d\": [870, 234, 901, 341], \"text\": \"Scale\"}, {\"box_2d\": [884, 534, 898, 724], \"text\": \"by changing what we expect.\"}, {\"box_2d\": [902, 533, 916, 687], \"text\": \"Scale conveys meaning\"}]", "correct": true, "input_tokens": 1327, "output_tokens": 216, "elapsed_seconds": 3.6970825840253383, "metadata": {"question": "{\"question\": \"Locate and transcribe visible text on the poster.\", \"specification\": \"Use one box per text line; keep separate words or letter groups on strongly curved paths in separate boxes. Include rotated text. Exclude decorative shapes, photographs and non-text graphics. Return plain text, not LaTeX.\\n\\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\", \"task\": \"localization_recognition\"}", "sample_id": "056687c4782f1a619ec38bf8fb97feb2a9b1e11e7387b064383eb5511d84b9a2", "category": "localization_recognition", "subset": "a0ebbce28fa5095a", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "b80db71a7f3d971cfdbc51a34ed550d636eb44bd8377fddb92ec9f1d5b549d3b", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe visible text on the poster.\n\nUse one box per text line; keep separate words or letter groups on strongly curved paths in separate boxes. Include rotated text. Exclude decorative shapes, photographs and non-text graphics. Return plain text, not LaTeX.\n\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 1.0, "status": "ok", "format_compliant": true, "detection_f1": 1.0, "matched_regions": 6, "reference_regions": 6, "predicted_regions": 6, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 3.7189}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 475, "image": "image_02ae1d02a05e3e7ef7dbb146_jpg.rf.7530acb8ba1ce61ea94cd4ada1777257.jpg", "expected": "72392", "predicted": "72392", "correct": true, "input_tokens": 1134, "output_tokens": 9, "elapsed_seconds": 2.9835840420564637, "metadata": {"question": "{\"question\": \"Read the electricity meter reading shown on the LCD. Return only the reading, preserving leading zeros and any decimal point. Exclude the register code, units and serial number. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "6a4e7d5c9bdd325d952809202927b5a59eaf90ba236a4d599b4aba0e11487cdf", "category": "single_string", "subset": "0749a0105d22d9d4", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "38e00ae59e42bc6b6aa920dd9327d0466cc1685c40a4811449c437c527307c39", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the electricity meter reading shown on the LCD. Return only the reading, preserving leading zeros and any decimal point. Exclude the register code, units and serial number. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 3.0403}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 476, "image": "image_1c9a93f06dd51f4634158916_jpg.rf.d4096c66338ea8da3e2ca1398975a0a4.jpg", "expected": "{\"serving_size\":\"1 cup (257g)\",\"servings_per_container\":\"About 2\",\"calories\":\"260\",\"total_fat\":{\"amount\":\"11g\",\"daily_value\":\"17%\"},\"saturated_fat\":{\"amount\":\"4g\",\"daily_value\":\"20%\"},\"trans_fat\":{\"amount\":\"0g\",\"daily_value\":null},\"cholesterol\":{\"amount\":\"20mg\",\"daily_value\":\"7%\"},\"sodium\":{\"amount\":\"750mg\",\"daily_value\":\"31%\"},\"total_carbohydrate\":{\"amount\":\"31g\",\"daily_value\":\"10%\"},\"dietary_fiber\":{\"amount\":\"3g\",\"daily_value\":\"12%\"},\"total_sugars\":{\"amount\":\"8g\",\"daily_value\":null},\"protein\":{\"amount\":\"9g\",\"daily_value\":\"12%\"},\"vitamin_a\":{\"amount\":null,\"daily_value\":\"6%\"},\"vitamin_c\":{\"amount\":null,\"daily_value\":\"0%\"},\"calcium\":{\"amount\":null,\"daily_value\":\"2%\"},\"iron\":{\"amount\":null,\"daily_value\":\"10%\"},\"potassium\":{\"amount\":\"560mg\",\"daily_value\":\"16%\"}}", "predicted": "{\n \"serving_size\": \"1 cup (257g)\",\n \"servings_per_container\": \"About 2\",\n \"calories\": \"260\",\n \"total_fat\": {\"amount\": \"11g\", \"daily_value\": \"17%\"},\n \"saturated_fat\": {\"amount\": \"4g\", \"daily_value\": \"20%\"},\n \"trans_fat\": {\"amount\": \"0g\", \"daily_value\": null},\n \"cholesterol\": {\"amount\": \"20mg\", \"daily_value\": \"7%\"},\n \"sodium\": {\"amount\": \"750mg\", \"daily_value\": \"31%\"},\n \"total_carbohydrate\": {\"amount\": \"31g\", \"daily_value\": \"10%\"},\n \"dietary_fiber\": {\"amount\": \"3g\", \"daily_value\": \"12%\"},\n \"total_sugars\": {\"amount\": \"8g\", \"daily_value\": null},\n \"protein\": {\"amount\": \"9g\", \"daily_value\": \"12%\"},\n \"vitamin_a\": {\"amount\": null, \"daily_value\": \"6%\"},\n \"vitamin_c\": {\"amount\": null, \"daily_value\": \"0%\"},\n \"calcium\": {\"amount\": null, \"daily_value\": \"2%\"},\n \"iron\": {\"amount\": null, \"daily_value\": \"10%\"},\n \"potassium\": {\"amount\": \"560mg\", \"daily_value\": \"16%\"}\n}", "correct": true, "input_tokens": 1629, "output_tokens": 364, "elapsed_seconds": 6.605960167013109, "metadata": {"question": "{\"question\": \"Extract the information printed in the main Nutrition Facts panel in this image. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"serving_size\\\": null,\\n \\\"servings_per_container\\\": null,\\n \\\"calories\\\": null,\\n \\\"total_fat\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"saturated_fat\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"trans_fat\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"cholesterol\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"sodium\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"total_carbohydrate\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"dietary_fiber\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"total_sugars\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"protein\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"vitamin_a\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"vitamin_c\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"calcium\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"iron\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"potassium\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null}\\n}\\n\\nUse per-serving values as packaged, not prepared or per-container values. Use Calories, not Calories from Fat. Map \u201cSugars\u201d to total_sugars.\\n\\nKeep nutrient amounts and daily-value percentages separate (e.g., \u201cCalcium 260 mg 20%\u201d \u2192 {\\\"amount\\\": \\\"260mg\\\", \\\"daily_value\\\": \\\"20%\\\"}). Preserve printed units and qualifiers; do not calculate or convert values.\\n\\nFormat serving_size as household measure followed by metric quantity in parentheses (e.g., \u201c2 pieces 30 g\u201d \u2192 \u201c2 pieces (30g)\u201d). If only one measure is printed, return it alone. Preserve additional serving-size details.\\n\\nRemove spaces between numbers and units or % signs. Preserve all other text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nInclude every key. Use strings for extracted values and null for missing or unreadable values, including individual amounts or percentages. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "ffe8dbac7b61e4d50bf5a7624c3b6695f1accf83cac85f7929ea5c48db1383fc", "category": "structured", "subset": "3d0c26ee8395584a", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "1c9a93f06dd51f4634158916c4a0eef2b6ca1cb2a3b881cb2037e85b7cc7867b", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed in the main Nutrition Facts panel in this image. Return only a valid JSON object with these fields:\n\n{\n \"serving_size\": null,\n \"servings_per_container\": null,\n \"calories\": null,\n \"total_fat\": {\"amount\": null, \"daily_value\": null},\n \"saturated_fat\": {\"amount\": null, \"daily_value\": null},\n \"trans_fat\": {\"amount\": null, \"daily_value\": null},\n \"cholesterol\": {\"amount\": null, \"daily_value\": null},\n \"sodium\": {\"amount\": null, \"daily_value\": null},\n \"total_carbohydrate\": {\"amount\": null, \"daily_value\": null},\n \"dietary_fiber\": {\"amount\": null, \"daily_value\": null},\n \"total_sugars\": {\"amount\": null, \"daily_value\": null},\n \"protein\": {\"amount\": null, \"daily_value\": null},\n \"vitamin_a\": {\"amount\": null, \"daily_value\": null},\n \"vitamin_c\": {\"amount\": null, \"daily_value\": null},\n \"calcium\": {\"amount\": null, \"daily_value\": null},\n \"iron\": {\"amount\": null, \"daily_value\": null},\n \"potassium\": {\"amount\": null, \"daily_value\": null}\n}\n\nUse per-serving values as packaged, not prepared or per-container values. Use Calories, not Calories from Fat. Map \u201cSugars\u201d to total_sugars.\n\nKeep nutrient amounts and daily-value percentages separate (e.g., \u201cCalcium 260 mg 20%\u201d \u2192 {\"amount\": \"260mg\", \"daily_value\": \"20%\"}). Preserve printed units and qualifiers; do not calculate or convert values.\n\nFormat serving_size as household measure followed by metric quantity in parentheses (e.g., \u201c2 pieces 30 g\u201d \u2192 \u201c2 pieces (30g)\u201d). If only one measure is printed, return it alone. Preserve additional serving-size details.\n\nRemove spaces between numbers and units or % signs. Preserve all other text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nInclude every key. Use strings for extracted values and null for missing or unreadable values, including individual amounts or percentages. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 31, "reference_fields": 31, "predicted_fields": 31, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 6.8216}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 477, "image": "image_6f9f483906453c195db65aca_jpg.rf.e0c3b3cba42a736a6a31e79c1a420368.jpg", "expected": "241218", "predicted": "241218", "correct": true, "input_tokens": 1143, "output_tokens": 10, "elapsed_seconds": 2.2422905419953167, "metadata": {"question": "{\"question\": \"Read the six-digit code engraved on the metal surface. Return only the code as a string of digits, preserving leading zeros. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "831f5f18ad684937c6e45c87cb54e935e21c5054fe40efccbf512940b2d82fed", "category": "single_string", "subset": "f2a87f15a0d3eb96", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "4878d53dde2f6cdd4260dec9b1613ac20348e6dc5071ebbb59161e3815ba070e", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the six-digit code engraved on the metal surface. Return only the code as a string of digits, preserving leading zeros. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 2.2573}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 478, "image": "image_b4d360af746feeeb8f5b4cdd_jpg.rf.c5a1d5bb7969afc8e6a6264a86ddf605.jpg", "expected": "6:59", "predicted": "6:59", "correct": true, "input_tokens": 1193, "output_tokens": 8, "elapsed_seconds": 2.5216366249369457, "metadata": {"question": "{\"question\": \"Read the illuminated value in the largest numeric readout on this treadmill display. If equally large readouts are present, choose the topmost, then leftmost. Preserve leading zeros and visible decimal points or colons between digits. Ignore unlit segments, isolated indicator lights and smaller secondary readouts. Do not infer units or reformat the value as time. Return only the displayed value, or null if incomplete or unreadable. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "8edca63f8d2c24e2e2c3f15d63ec6a142fe2908422e73db26405255d8ab8b8aa", "category": "single_string", "subset": "6320a2ab21674c00", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "829b510e1dc1529c9f98059f52117e62cbc8b83c03740b3a768b65eafa421049", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the illuminated value in the largest numeric readout on this treadmill display. If equally large readouts are present, choose the topmost, then leftmost. Preserve leading zeros and visible decimal points or colons between digits. Ignore unlit segments, isolated indicator lights and smaller secondary readouts. Do not infer units or reformat the value as time. Return only the displayed value, or null if incomplete or unreadable. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 2.5321}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 479, "image": "image_a1426a5908abf1e420af2c61_jpg.rf.48c20982e692ccfb9e678d2dc7557014.jpg", "expected": "KA17AA6024", "predicted": "KA17AA6024", "correct": true, "input_tokens": 1196, "output_tokens": 12, "elapsed_seconds": 3.7241636669496074, "metadata": {"question": "{\"question\": \"Read the registration number on the largest visible vehicle license plate. Return only the registration number, reading multiple lines from top to bottom, omitting spaces and preserving letters, digits, leading zeros and hyphens. Exclude country labels, vehicle branding and video overlays. Return null if the complete registration number is unreadable. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "e6a988dee442710f3d35cb7e83c47ec233594beca2e916f9ed8f21027cc001e4", "category": "single_string", "subset": "d883528f51470f78", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "73fcb8049551df89ab0e251d85f3aad6153efa6dafcdd3868393e50402156f91", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the registration number on the largest visible vehicle license plate. Return only the registration number, reading multiple lines from top to bottom, omitting spaces and preserving letters, digits, leading zeros and hyphens. Exclude country labels, vehicle branding and video overlays. Return null if the complete registration number is unreadable. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 3.7757}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 480, "image": "image_aeb0fe692ea1cfb110d01da0_jpg.rf.2da219032b703d32bee48f4d868c85e2.jpg", "expected": "7072774", "predicted": "7072774", "correct": true, "input_tokens": 1122, "output_tokens": 11, "elapsed_seconds": 10.569153790944256, "metadata": {"question": "{\"question\": \"Read the cow ear tag number visible in this image. Return only the number as a string of digits. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "5aa6131c4ebdb7e47438285c4465dfc01f90beb0e8c8335d109bf6102b4120f6", "category": "single_string", "subset": "b3f38c6b63e6967c", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "d40f8607d91fcc4647fc3b116bed62634e3aa1d1b21adedefcbf3cd9f49cd95a", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the cow ear tag number visible in this image. Return only the number as a string of digits. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 10.6958}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 481, "image": "image_fe548642bd79ef4427a080d8_jpg.rf.a1041153091740aa89adadbe32a9de2a.jpg", "expected": "[{\"bbox\":[500,696,2090,1160],\"text\":\"HANDKRAFT\"},{\"bbox\":[775,1170,1834,1515],\"text\":\"SWEA\"}]", "predicted": "[{\"box_2d\": [368, 193, 608, 804], \"text\": \"HANDKRAFT\"}, {\"box_2d\": [602, 293, 777, 699], \"text\": \"SWEA\"}]", "correct": true, "input_tokens": 1296, "output_tokens": 71, "elapsed_seconds": 7.83433895802591, "metadata": {"question": "{\"question\": \"Locate and transcribe all text on the signs in this image.\", \"specification\": \"Use one box per word or standalone number, including curved words in a single box. Exclude text outside the signs and purely graphical symbols. Return plain text, not LaTeX.\\n\\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\", \"task\": \"localization_recognition\"}", "sample_id": "fb96286b16931c9007b3cac335940f0d0c9e9ef80cbd5813850a2a40a887e979", "category": "localization_recognition", "subset": "21363697af554f8e", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "0a12e57b165641089d1adaa84c64e24e005cccc92977477b81de9db7e38693ac", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe all text on the signs in this image.\n\nUse one box per word or standalone number, including curved words in a single box. Exclude text outside the signs and purely graphical symbols. Return plain text, not LaTeX.\n\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 1.0, "status": "ok", "format_compliant": true, "detection_f1": 1.0, "matched_regions": 2, "reference_regions": 2, "predicted_regions": 2, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 8.0153}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 482, "image": "image_ace3722855627f9de00332b0_jpg.rf.eab075d48e5c4fa79e742d2fa0424f49.jpg", "expected": "[{\"bbox\":[276,22,347,31],\"text\":\"SIXTEENTH EDITION\"},{\"bbox\":[64,56,188,69],\"text\":\"INTRODUCTION TO\"},{\"bbox\":[27,71,350,101],\"text\":\"Management Accounting\"},{\"bbox\":[70,136,341,151],\"text\":\"Horngren Sundem Burgstahler Schatzberg\"}]", "predicted": "[{\"box_2d\": [46, 728, 60, 916], \"text\": \"SIXTEENTH EDITION\"},\n{\"box_2d\": [114, 173, 134, 493], \"text\": \"INTRODUCTION TO\"},\n{\"box_2d\": [146, 74, 206, 916], \"text\": \"Management Accounting\"},\n{\"box_2d\": [274, 184, 300, 333], \"text\": \"Horngren\"},\n{\"box_2d\": [274, 360, 294, 491], \"text\": \"Sundem\"},\n{\"box_2d\": [274, 520, 298, 691], \"text\": \"Burgstahler\"},\n{\"box_2d\": [274, 716, 298, 895], \"text\": \"Schatzberg\"}]", "correct": false, "input_tokens": 1321, "output_tokens": 245, "elapsed_seconds": 4.319391000084579, "metadata": {"question": "{\"question\": \"Locate and transcribe all visible text on this book cover, including title, author, publisher and promotional text.\", \"specification\": \"Use one box per text line. Return plain text, not LaTeX.\\n\\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Do not include explanations or Markdown.\", \"task\": \"localization_recognition\"}", "sample_id": "7f55408f4920c839bb2beb2c979146973508ad960451ad3c3f538680b2adc1ea", "category": "localization_recognition", "subset": "658c0e5b4d5e48ce", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "33c1e0ed781f4f944b44d101f8d3439da6f6a55a1bd9372f7fce705ab3becacd", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe all visible text on this book cover, including title, author, publisher and promotional text.\n\nUse one box per text line. Return plain text, not LaTeX.\n\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Do not include explanations or Markdown.\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 0.5455, "status": "ok", "format_compliant": true, "detection_f1": 0.5454545454545454, "matched_regions": 3, "reference_regions": 4, "predicted_regions": 7, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 4.3336}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 483, "image": "image_ace3722855627f9de00332b0_jpg.rf.eab075d48e5c4fa79e742d2fa0424f49.jpg", "expected": "{\"title\":\"INTRODUCTION TO Management Accounting\",\"author\":\"Horngren Sundem Burgstahler Schatzberg\",\"publisher\":null}", "predicted": "{\n \"title\": \"INTRODUCTION TO Management Accounting\",\n \"author\": \"Horngren Sundem Burgstahler Schatzberg\",\n \"publisher\": null\n}", "correct": true, "input_tokens": 1311, "output_tokens": 42, "elapsed_seconds": 3.505026333965361, "metadata": {"question": "{\"question\": \"Extract the information printed on this book cover. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"title\\\": null,\\n \\\"author\\\": null,\\n \\\"publisher\\\": null\\n}\\n\\nInclude the subtitle in title, but exclude series names, endorsements and promotional badges. Include only the book\u2019s authors in author, preserving their printed order and separators; exclude foreword or introduction contributors. Use visible publisher text only; do not identify a symbol-only logo.\\n\\nExclude edition/volume labels from title and editors from author. Join title and subtitle with a space; do not add punctuation.\\n\\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "e6b48c307ec40c6d78e87b1d3d19d12459287e5f51d9cf5a5cc79780f4354d8a", "category": "structured", "subset": "3d7fadf0660f8706", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "33c1e0ed781f4f944b44d101f8d3439da6f6a55a1bd9372f7fce705ab3becacd", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on this book cover. Return only a valid JSON object with these fields:\n\n{\n \"title\": null,\n \"author\": null,\n \"publisher\": null\n}\n\nInclude the subtitle in title, but exclude series names, endorsements and promotional badges. Include only the book\u2019s authors in author, preserving their printed order and separators; exclude foreword or introduction contributors. Use visible publisher text only; do not identify a symbol-only logo.\n\nExclude edition/volume labels from title and editors from author. Join title and subtitle with a space; do not add punctuation.\n\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 3, "reference_fields": 3, "predicted_fields": 3, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 3.5162}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 484, "image": "image_c9377a3576e2705c6892079f_jpg.rf.3a00869abfc87811191c9655fc2d604e.jpg", "expected": "{\"application_id\":\"54APID2306541\",\"application_date\":\"10032016\",\"product_type\":\"Home Equity\",\"tenure_months\":\"150\",\"loan_amount\":\"2050000\",\"applicant_name\":\"NANDAMURI TARAKA RAMA RAO\",\"birth_date\":\"16051984\",\"current_address\":\"RAKUTEN SYMPHONY KADUBEESINA HALLI FLAT NO 305 FLOOR NO 3 BANGALORE 560103\",\"current_city\":\"BANGALORE\",\"current_state\":\"KARNATAKA\",\"current_postal_code\":\"560105\",\"current_mobile\":\"9703468142\",\"pan_number\":\"LIYPL0882S\"}", "predicted": "{\n \"application_id\": \"54APID2306541\",\n \"application_date\": \"10032016\",\n \"product_type\": \"Home Equity\",\n \"tenure_months\": \"150\",\n \"loan_amount\": \"2050000\",\n \"applicant_name\": \"NANDAMURI TARAKA RAMA RAO\",\n \"birth_date\": \"16051984\",\n \"current_address\": \"RAKUTEN SYMPHONY KADUBEESINA HALLI FLAT NO 305 FLOOR NO 3 BANGALORE 560103\",\n \"current_city\": \"BANGALORE\",\n \"current_state\": \"KARNATAKA\",\n \"current_postal_code\": \"560105\",\n \"current_mobile\": \"9903468142\",\n \"pan_number\": \"LTYPK08882S\"\n}", "correct": false, "input_tokens": 1432, "output_tokens": 238, "elapsed_seconds": 7.2049615000141785, "metadata": {"question": "{\"question\": \"Extract the completed applicant and loan fields from this loan application. Return only a valid JSON object with this structure:\\n\\n{\\n \\\"application_id\\\": null,\\n \\\"application_date\\\": null,\\n \\\"product_type\\\": null,\\n \\\"tenure_months\\\": null,\\n \\\"loan_amount\\\": null,\\n \\\"applicant_name\\\": null,\\n \\\"birth_date\\\": null,\\n \\\"current_address\\\": null,\\n \\\"current_city\\\": null,\\n \\\"current_state\\\": null,\\n \\\"current_postal_code\\\": null,\\n \\\"current_mobile\\\": null,\\n \\\"pan_number\\\": null\\n}\\n\\nUse Application ID No., not Application Form No. Read the current address, not the permanent address. Remove spaces between character boxes in identifiers and numbers; retain word spaces in names and addresses. For product_type, copy the single checked option; use null if none or several are selected. Transcribe date-box contents as written without inventing separators, even if malformed. Keep leading zeros in numbers.\\n\\nPreserve spelling, capitalization and punctuation; join line breaks within a field with spaces. Do not infer, correct or translate. Ignore filler dashes in unused boxes. For current_address, include only Current Residence Address lines, excluding the separately labelled landmark, city, state and postal-code fields. Use strings for values and null for missing or unreadable fields. Include every key. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "51d391b3b41f6387a50d512510a1115e46b55126ec9cdd41d8408d95167d66a7", "category": "structured", "subset": "320cb142e1839899", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "77271ffb839aa5629d561105b4ed889003be16bff765ca16e4755543da774d31", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the completed applicant and loan fields from this loan application. Return only a valid JSON object with this structure:\n\n{\n \"application_id\": null,\n \"application_date\": null,\n \"product_type\": null,\n \"tenure_months\": null,\n \"loan_amount\": null,\n \"applicant_name\": null,\n \"birth_date\": null,\n \"current_address\": null,\n \"current_city\": null,\n \"current_state\": null,\n \"current_postal_code\": null,\n \"current_mobile\": null,\n \"pan_number\": null\n}\n\nUse Application ID No., not Application Form No. Read the current address, not the permanent address. Remove spaces between character boxes in identifiers and numbers; retain word spaces in names and addresses. For product_type, copy the single checked option; use null if none or several are selected. Transcribe date-box contents as written without inventing separators, even if malformed. Keep leading zeros in numbers.\n\nPreserve spelling, capitalization and punctuation; join line breaks within a field with spaces. Do not infer, correct or translate. Ignore filler dashes in unused boxes. For current_address, include only Current Residence Address lines, excluding the separately labelled landmark, city, state and postal-code fields. Use strings for values and null for missing or unreadable fields. Include every key. Do not include explanations or Markdown.", "match_method": "structured", "score": 0.8462, "status": "ok", "format_compliant": true, "matched_fields": 11, "reference_fields": 13, "predicted_fields": 13, "non_null_field_accuracy": 0.8461538461538461, "object_exact_match": false, "attempts": 1, "retries": 0, "total_seconds": 7.2428}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 485, "image": "image_7defc203447a04d620ea3f9e_jpg.rf.534dddb14a40ee7aeb449d033de391d3.jpg", "expected": "00820", "predicted": "00820", "correct": true, "input_tokens": 1146, "output_tokens": 9, "elapsed_seconds": 3.1186651249881834, "metadata": {"question": "{\"question\": \"Read the electricity meter reading visible in this image. Return only the reading as a string of digits. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "426ae7e534a05580d4748d66cc724d9f5e7c4256f7574890d689c6cfca892202", "category": "single_string", "subset": "3a0d0e0892a8fc95", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "5ac99ee0fcd0879321bf54e11ab48fa1dac22a7b4bacfa38c4cfa42f166dbe14", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the electricity meter reading visible in this image. Return only the reading as a string of digits. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 3.2126}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 486, "image": "image_de4aec19f863fe3ededf94f4_jpg.rf.8759792acb183defc976e1ee8332b374.jpg", "expected": "{\"validity_period\":\"dal 28 novembre all'11 dicembre 2024\",\"offers\":[{\"product_name\":\"SPEZZATINO DI BOVINO ADULTO\",\"price\":\"8,49\",\"price_basis\":\"/kg\"},{\"product_name\":\"HAMBURGER DI SCOTTONA\",\"price\":\"2,19\",\"price_basis\":\"/pz\"},{\"product_name\":\"BRACIOLE DI COPPA DI SUINO\",\"price\":\"6,49\",\"price_basis\":\"/kg\"},{\"product_name\":\"FUSI E SOVRACOSCE DI POLLO\",\"price\":\"3,99\",\"price_basis\":\"/kg\"},{\"product_name\":\"STRACCETTI DI POLLO\",\"price\":\"7,99\",\"price_basis\":\"/kg\"},{\"product_name\":\"CORDON BLEU DI POLLO E TACCHINO\",\"price\":\"1,99\",\"price_basis\":\"/pz\"},{\"product_name\":\"TRECCIA PUGLIESE\",\"price\":\"9,99\",\"price_basis\":\"/kg\"},{\"product_name\":\"BOCCONCINI DI LATTE DI BUFALA\",\"price\":\"2,99\",\"price_basis\":\"/pz\"},{\"product_name\":\"TARALLUCCI ALLE RAPE\",\"price\":\"1,79\",\"price_basis\":\"/pz\"}]}", "predicted": "{\"validity_period\": \"dal 28 novembre all'11 dicembre 2024\", \"offers\": [{\"product_name\": \"SPEZZATINO DI BOVINO ADULTO\", \"price\": \"8,49\", \"price_basis\": \"/kg\"}, {\"product_name\": \"HAMBURGER DI SCOTTONA\", \"price\": \"2,19\", \"price_basis\": \"/pz\"}, {\"product_name\": \"BRACIOLE DI COPPA DI SUINO\", \"price\": \"6,49\", \"price_basis\": \"/kg\"}, {\"product_name\": \"FUSI E SOVRACOSCE DI POLLO\", \"price\": \"3,99\", \"price_basis\": \"/kg\"}, {\"product_name\": \"STRACCETTI DI POLLO\", \"price\": \"7,99\", \"price_basis\": \"/kg\"}, {\"product_name\": \"CORDON BLEU DI POLLO E TACCHINO\", \"price\": \"1,99\", \"price_basis\": \"/pz\"}, {\"product_name\": \"TRECCIA PUGLIESE\", \"price\": \"9,99\", \"price_basis\": \"/kg\"}, {\"product_name\": \"BOCCONCINI DI LATTE DI BUFALA\", \"price\": \"2,99\", \"price_basis\": \"/pz\"}, {\"product_name\": \"TARALLUCCI ALLE RAPE\", \"price\": \"1,79\", \"price_basis\": \"/pz\"}]}", "correct": true, "input_tokens": 1416, "output_tokens": 326, "elapsed_seconds": 5.368153708055615, "metadata": {"question": "{\"question\": \"Extract the information printed on this retail leaflet page. Return only a valid JSON object with this structure:\\n\\n{\\n \\\"validity_period\\\": null,\\n \\\"offers\\\": [\\n {\\n \\\"product_name\\\": null,\\n \\\"price\\\": null,\\n \\\"price_basis\\\": null\\n }\\n ]\\n}\\n\\nReturn product blocks in visual rows, left-to-right. Use the printed product description, excluding variant lists and text only on pictured packaging. Include a separately printed brand above the description only if not already named there.\\n\\nUse the prominent advertised price, not previous or comparison prices. Join raised cents with a decimal comma; place any printed currency after the amount with one space (e.g., \u20ac4\u2079\u2079 \u2192 4,99 \u20ac). Do not infer currency or calculate prices. Keep ply counts in product_name. Put the selling basis in price_basis (al kg \u2192 /kg, al pz \u2192 /pz, confezione \u2192 confezione).\\n\\nUse only page-wide validity dates, without weekdays; an end-only date is allowed. Exclude unrestricted marketing slogans. Discount-only offers have price:null.\\n\\nPreserve text as printed, joining line breaks within a field with spaces. Do not infer missing information or translate. Include every key. Use strings for extracted values and null for missing or unreadable values; retain arrays as arrays. Return empty arrays when there are no entries. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "483ab4c5a54a910733de66df0d555c43949388d3502e3726219a7b21953c7fda", "category": "structured", "subset": "660e48d305d84282", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "15da93a437edab236026e5afe3eb93d7acde696168aa51bc1cbb2c6aa44f20b3", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on this retail leaflet page. Return only a valid JSON object with this structure:\n\n{\n \"validity_period\": null,\n \"offers\": [\n {\n \"product_name\": null,\n \"price\": null,\n \"price_basis\": null\n }\n ]\n}\n\nReturn product blocks in visual rows, left-to-right. Use the printed product description, excluding variant lists and text only on pictured packaging. Include a separately printed brand above the description only if not already named there.\n\nUse the prominent advertised price, not previous or comparison prices. Join raised cents with a decimal comma; place any printed currency after the amount with one space (e.g., \u20ac4\u2079\u2079 \u2192 4,99 \u20ac). Do not infer currency or calculate prices. Keep ply counts in product_name. Put the selling basis in price_basis (al kg \u2192 /kg, al pz \u2192 /pz, confezione \u2192 confezione).\n\nUse only page-wide validity dates, without weekdays; an end-only date is allowed. Exclude unrestricted marketing slogans. Discount-only offers have price:null.\n\nPreserve text as printed, joining line breaks within a field with spaces. Do not infer missing information or translate. Include every key. Use strings for extracted values and null for missing or unreadable values; retain arrays as arrays. Return empty arrays when there are no entries. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 28, "reference_fields": 28, "predicted_fields": 28, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 5.4521}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 487, "image": "image_75d11db84826dbc025f12e85_jpg.rf.5397d161dbff9a5b58ddc8c8a5d864fb.jpg", "expected": "{\"client_number\":\"TN13482787\",\"account_number\":\"147166772300\",\"branch_name\":\"Agence Ennkhilet\",\"surname\":\"Jrad\",\"given_name\":\"Amine\",\"sex\":\"Masculin\",\"birth_date\":\"17/08/1997\",\"birth_city\":\"Gabes\",\"birth_country\":\"Tunisie\",\"identity_document_type\":\"Passport\",\"identity_document_number\":\"TR816230\",\"nationality\":\"Tunisienne\",\"marital_status\":\"C\u00e9libataire\",\"mailing_address\":\"Rue Bilel, Apt 15\",\"postal_code\":\"4100\",\"city\":\"Tunis\",\"country\":\"Tunisie\",\"phone\":\"+21623778919\",\"email\":\"Jrad.Amine@gmail.com\",\"profession\":\"M\u00e9decin\",\"net_monthly_income\":\"3000 TND\",\"employer_category\":\"Secteur public\",\"account_type\":\"compte courant\"}", "predicted": "{\n \"client_number\": \"TN13482787\",\n \"account_number\": \"147166772300\",\n \"branch_name\": \"Agence Ennkhilet\",\n \"surname\": \"Jrad\",\n \"given_name\": \"Amine\",\n \"sex\": \"Masculin\",\n \"birth_date\": \"17/08/1997\",\n \"birth_city\": \"Gabes\",\n \"birth_country\": \"Tunisie\",\n \"identity_document_type\": \"Passport\",\n \"identity_document_number\": \"TR816230\",\n \"nationality\": \"Tunisienne\",\n \"marital_status\": \"C\u00e9libataire\",\n \"mailing_address\": \"Rue Bilel, Apt 15\",\n \"postal_code\": \"4100\",\n \"city\": \"Tunis\",\n \"country\": \"Tunisie\",\n \"phone\": \"+21623778919\",\n \"email\": \"Jrad.Amine@gmail.com\",\n \"profession\": \"M\u00e9decin\",\n \"net_monthly_income\": \"3000 TND\",\n \"employer_category\": \"Secteur public\",\n \"account_type\": \"compte courant\"\n}", "correct": true, "input_tokens": 1479, "output_tokens": 316, "elapsed_seconds": 4.964057250064798, "metadata": {"question": "{\"question\": \"Extract the completed customer and account fields from this form. Return only a valid JSON object with this structure:\\n\\n{\\n \\\"client_number\\\": null,\\n \\\"account_number\\\": null,\\n \\\"branch_name\\\": null,\\n \\\"surname\\\": null,\\n \\\"given_name\\\": null,\\n \\\"sex\\\": null,\\n \\\"birth_date\\\": null,\\n \\\"birth_city\\\": null,\\n \\\"birth_country\\\": null,\\n \\\"identity_document_type\\\": null,\\n \\\"identity_document_number\\\": null,\\n \\\"nationality\\\": null,\\n \\\"marital_status\\\": null,\\n \\\"mailing_address\\\": null,\\n \\\"postal_code\\\": null,\\n \\\"city\\\": null,\\n \\\"country\\\": null,\\n \\\"phone\\\": null,\\n \\\"email\\\": null,\\n \\\"profession\\\": null,\\n \\\"net_monthly_income\\\": null,\\n \\\"employer_category\\\": null,\\n \\\"account_type\\\": null\\n}\\n\\nUse customer entries, not printed labels or signatures. Mailing city/country belong to the address, not birthplace. Remove spaces from client, account, identity and telephone numbers; retain other punctuation and leading zeros. Keep dates and income, including any written currency, as written.\\n\\nIgnore crossed-out text when a replacement is visible. Assign misplaced entries by their explicit meaning, not by the adjacent blank; otherwise use the labelled field. Preserve handwritten spelling and abbreviations, including apparent mistakes.\\n\\nPreserve the text as written; join line breaks within a field with spaces. Do not infer missing information or translate. Use strings for extracted values and null for missing or unreadable fields. Include every key. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "b873d8344d68c362b62f95a3f242dc1a06e401e10322b526568c545a87a72f8e", "category": "structured", "subset": "cc71eb86fa5bf20e", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "473cd87efcb67824c4f9d33e93d201fb0eb44aa3e228da5da2d0a5dd59ab4300", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the completed customer and account fields from this form. Return only a valid JSON object with this structure:\n\n{\n \"client_number\": null,\n \"account_number\": null,\n \"branch_name\": null,\n \"surname\": null,\n \"given_name\": null,\n \"sex\": null,\n \"birth_date\": null,\n \"birth_city\": null,\n \"birth_country\": null,\n \"identity_document_type\": null,\n \"identity_document_number\": null,\n \"nationality\": null,\n \"marital_status\": null,\n \"mailing_address\": null,\n \"postal_code\": null,\n \"city\": null,\n \"country\": null,\n \"phone\": null,\n \"email\": null,\n \"profession\": null,\n \"net_monthly_income\": null,\n \"employer_category\": null,\n \"account_type\": null\n}\n\nUse customer entries, not printed labels or signatures. Mailing city/country belong to the address, not birthplace. Remove spaces from client, account, identity and telephone numbers; retain other punctuation and leading zeros. Keep dates and income, including any written currency, as written.\n\nIgnore crossed-out text when a replacement is visible. Assign misplaced entries by their explicit meaning, not by the adjacent blank; otherwise use the labelled field. Preserve handwritten spelling and abbreviations, including apparent mistakes.\n\nPreserve the text as written; join line breaks within a field with spaces. Do not infer missing information or translate. Use strings for extracted values and null for missing or unreadable fields. Include every key. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 23, "reference_fields": 23, "predicted_fields": 23, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 5.0359}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 488, "image": "image_c27673a970acc7e79a77026b_jpg.rf.375ef97cc809c4603acc58da066ab083.jpg", "expected": "{\"merchant\":\"Store-SSG Tower\",\"receipt_number\":null,\"date\":\"11/18/2016\",\"time\":\"08:25\",\"currency\":null,\"items\":[{\"description\":\"ICED CAFFE LATTE T\",\"quantity\":\"1.0000\",\"unit_price\":null,\"line_total\":\"70,000\"},{\"description\":\". EXTRA VANILA SYRUP\",\"quantity\":\"1.0000\",\"unit_price\":null,\"line_total\":\"10,000\"}],\"subtotal\":\"72,727\",\"discount\":null,\"tax\":\"7,273\",\"total\":\"80,000\"}", "predicted": "{\"merchant\":\"Store-SSG Tower\",\"receipt_number\":null,\"date\":\"11/18/2016\",\"time\":\"08:25\",\"currency\":null,\"items\":[{\"description\":\"ICED CAFFE LATTE T\",\"quantity\":\"1.0000\",\"unit_price\":null,\"line_total\":\"70,000\"},{\"description\":\". EXTRA VANILA SYRUP\",\"quantity\":\"1.0000\",\"unit_price\":null,\"line_total\":\"10,000\"}],\"subtotal\":\"72,727\",\"discount\":null,\"tax\":\"7,273\",\"total\":\"80,000\"}", "correct": true, "input_tokens": 1412, "output_tokens": 147, "elapsed_seconds": 4.095143833081238, "metadata": {"question": "{\"question\": \"Extract the transaction and purchased items from this receipt. Return only a valid JSON object with these fields:\\n\\n{\\\"merchant\\\":null,\\\"receipt_number\\\":null,\\\"date\\\":null,\\\"time\\\":null,\\\"currency\\\":null,\\\"items\\\":[{\\\"description\\\":null,\\\"quantity\\\":null,\\\"unit_price\\\":null,\\\"line_total\\\":null}],\\\"subtotal\\\":null,\\\"discount\\\":null,\\\"tax\\\":null,\\\"total\\\":null}\\n\\nMerchant: printed header company/business name, otherwise store/branch name; never infer from logos or websites. Receipt number: prefer Bill/Invoice/Receipt, then Check/CHK, then transaction/order ID; exclude terminal, table, payment and unlabeled barcode numbers. Use transaction date/time, retaining printed separators and AM/PM.\\n\\nItems: one row per priced purchase/add-on; append unpriced product modifiers to its description. Exclude promotion, discount, tax and payment lines. Copy unit_price only from a separate printed unit-price field; a lone amount is line_total. Preserve item order.\\n\\nTotal: primary final sale amount, not alternate-currency conversion, payment, change or balance. Currency must explicitly apply to that primary amount. Subtotal, discount and tax: printed receipt-wide summary amounts only, not item-level adjustments or percentages. Do not calculate. Omit currency from amount strings; preserve signs and separators.\\n\\nPreserve other text and capitalization; join field line breaks with spaces. Use strings, null for missing/unreadable fields, and [] for no items. Include every key. Do not infer missing text, translate or add explanations/Markdown.\", \"task\": \"structured\"}", "sample_id": "6c24e88ec59b1e24d04b4789392ecae3ae1793b36726cf88da5ea194e64fdce4", "category": "structured", "subset": "a703300632cb4e39", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "1ff123ae86ae91411d4b866585262bfdc2c669e86245898a8d2b2a7b19bd6bd5", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the transaction and purchased items from this receipt. Return only a valid JSON object with these fields:\n\n{\"merchant\":null,\"receipt_number\":null,\"date\":null,\"time\":null,\"currency\":null,\"items\":[{\"description\":null,\"quantity\":null,\"unit_price\":null,\"line_total\":null}],\"subtotal\":null,\"discount\":null,\"tax\":null,\"total\":null}\n\nMerchant: printed header company/business name, otherwise store/branch name; never infer from logos or websites. Receipt number: prefer Bill/Invoice/Receipt, then Check/CHK, then transaction/order ID; exclude terminal, table, payment and unlabeled barcode numbers. Use transaction date/time, retaining printed separators and AM/PM.\n\nItems: one row per priced purchase/add-on; append unpriced product modifiers to its description. Exclude promotion, discount, tax and payment lines. Copy unit_price only from a separate printed unit-price field; a lone amount is line_total. Preserve item order.\n\nTotal: primary final sale amount, not alternate-currency conversion, payment, change or balance. Currency must explicitly apply to that primary amount. Subtotal, discount and tax: printed receipt-wide summary amounts only, not item-level adjustments or percentages. Do not calculate. Omit currency from amount strings; preserve signs and separators.\n\nPreserve other text and capitalization; join field line breaks with spaces. Use strings, null for missing/unreadable fields, and [] for no items. Include every key. Do not infer missing text, translate or add explanations/Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 17, "reference_fields": 17, "predicted_fields": 17, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 4.1155}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 489, "image": "image_7e838f65b0f908bc5e94e2d4_jpg.rf.bf64ebb2ea392034e487eb906200c0f0.jpg", "expected": "8803888", "predicted": "88 03888", "correct": false, "input_tokens": 1144, "output_tokens": 12, "elapsed_seconds": 8.758304917020723, "metadata": {"question": "{\"question\": \"Read the identification code on the utility pole tag. Return only the code, joining vertically stacked characters without spaces and preserving leading zeros and hyphens. Exclude labels such as POLE NO., timestamps and GPS/address overlays. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "63fe0d4a75e2302a5f6c7da91c97ca7e75ccdddfb7e903b7c6db58b3f80b2a24", "category": "single_string", "subset": "cd97317d8ff518ba", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "43530d64325f81af788afb0006b7a85cfe3f64d3773c9ba4918c6baeb1f994b6", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the identification code on the utility pole tag. Return only the code, joining vertically stacked characters without spaces and preserving leading zeros and hyphens. Exclude labels such as POLE NO., timestamps and GPS/address overlays. Do not explain.", "match_method": "single_string", "score": 0.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 9.1786}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 490, "image": "image_ef6d8da449199113c436dcbe_jpg.rf.0948da853c5f0930fa95237dae3d0a67.jpg", "expected": "[{\"bbox\":[0,6,11,25],\"text\":\"2\"},{\"bbox\":[0,31,12,51],\"text\":\"1\"},{\"bbox\":[41,51,56,93],\"text\":\"CN5\"},{\"bbox\":[226,51,261,70],\"text\":\"CNB\"},{\"bbox\":[374,53,393,64],\"text\":\"R3\"},{\"bbox\":[552,57,563,84],\"text\":\"SW3\"},{\"bbox\":[460,58,473,88],\"text\":\"SW2\"},{\"bbox\":[166,66,197,82],\"text\":\"C13\"},{\"bbox\":[108,67,143,104],\"text\":\"150 CFK 0C7\"},{\"bbox\":[417,75,445,88],\"text\":\"RM6\"},{\"bbox\":[251,76,270,91],\"text\":\"C8\"},{\"bbox\":[309,76,357,112],\"text\":\"CX104BB 30.000M TCY1151\"},{\"bbox\":[373,81,400,94],\"text\":\"R38\"},{\"bbox\":[424,96,438,107],\"text\":\"102\"},{\"bbox\":[81,101,102,119],\"text\":\"C9\"},{\"bbox\":[182,105,202,121],\"text\":\"C5\"},{\"bbox\":[373,109,399,122],\"text\":\"R34\"},{\"bbox\":[218,118,242,133],\"text\":\"EM1\"},{\"bbox\":[653,118,720,134],\"text\":\"MR2A16A\"},{\"bbox\":[423,128,462,142],\"text\":\"FPGA\"},{\"bbox\":[321,131,352,143],\"text\":\"U22\"},{\"bbox\":[746,145,759,176],\"text\":\"U23\"},{\"bbox\":[246,149,255,172],\"text\":\"TP1\"},{\"bbox\":[551,149,563,176],\"text\":\"R25\"},{\"bbox\":[507,150,518,177],\"text\":\"R26\"},{\"bbox\":[769,166,787,178],\"text\":\"1\"},{\"bbox\":[57,168,85,186],\"text\":\"JP2\"},{\"bbox\":[35,169,58,185],\"text\":\"JP1\"},{\"bbox\":[236,175,249,194],\"text\":\"C6\"},{\"bbox\":[549,181,567,194],\"text\":\"L9\"},{\"bbox\":[343,182,452,318],\"text\":null},{\"bbox\":[106,192,177,228],\"text\":\"EN5335QI E01MD U140\"},{\"bbox\":[5,194,39,206],\"text\":\"TPG1\"},{\"bbox\":[552,194,581,204],\"text\":\"[DN]\"},{\"bbox\":[662,197,673,220],\"text\":\"RM1\"},{\"bbox\":[230,201,240,221],\"text\":\"C4\"},{\"bbox\":[639,202,650,220],\"text\":\"U3\"},{\"bbox\":[688,203,702,212],\"text\":\"102\"},{\"bbox\":[1,204,42,216],\"text\":\"[GND]\"},{\"bbox\":[525,215,544,228],\"text\":\"Q1\"},{\"bbox\":[507,219,518,246],\"text\":\"R19\"},{\"bbox\":[237,221,249,241],\"text\":\"C7\"},{\"bbox\":[36,224,48,245],\"text\":\"C3\"},{\"bbox\":[640,225,652,245],\"text\":\"U4\"},{\"bbox\":[690,227,717,241],\"text\":\"R20\"},{\"bbox\":[582,228,593,257],\"text\":\"CN2\"},{\"bbox\":[749,232,763,284],\"text\":\"[JTAG]\"},{\"bbox\":[93,238,108,251],\"text\":\"U1\"},{\"bbox\":[68,245,82,268],\"text\":\"R16\"},{\"bbox\":[187,245,199,274],\"text\":\"EM2\"},{\"bbox\":[688,245,718,259],\"text\":\"R23\"},{\"bbox\":[507,246,519,264],\"text\":\"U5\"},{\"bbox\":[118,249,130,274],\"text\":\"C16\"},{\"bbox\":[86,258,94,276],\"text\":\"P2\"},{\"bbox\":[94,258,105,275],\"text\":\"P1\"},{\"bbox\":[639,258,668,272],\"text\":\"RM3\"},{\"bbox\":[691,262,716,273],\"text\":\"R21\"},{\"bbox\":[609,268,622,277],\"text\":\"472\"},{\"bbox\":[69,270,85,279],\"text\":\"L8\"},{\"bbox\":[690,274,718,290],\"text\":\"R22\"},{\"bbox\":[521,277,537,290],\"text\":\"R1\"},{\"bbox\":[55,280,83,292],\"text\":\"[PW]\"},{\"bbox\":[232,285,246,311],\"text\":\"C15\"},{\"bbox\":[7,288,35,297],\"text\":\"CN4\"},{\"bbox\":[570,288,594,302],\"text\":\"R11\"},{\"bbox\":[750,293,761,321],\"text\":\"CN3\"},{\"bbox\":[525,296,536,316],\"text\":\"R6\"},{\"bbox\":[569,306,595,318],\"text\":\"R10\"},{\"bbox\":[105,308,176,344],\"text\":\"EN5335QI E01MD U140\"},{\"bbox\":[7,309,17,335],\"text\":\"C11\"},{\"bbox\":[239,313,251,339],\"text\":\"C17\"},{\"bbox\":[571,321,592,333],\"text\":\"R9\"},{\"bbox\":[645,328,729,365],\"text\":null},{\"bbox\":[84,334,94,359],\"text\":\"C14\"},{\"bbox\":[572,337,588,349],\"text\":\"R8\"},{\"bbox\":[594,338,618,351],\"text\":\"SW1\"},{\"bbox\":[525,343,537,362],\"text\":\"R7\"},{\"bbox\":[742,346,756,364],\"text\":\"U7\"},{\"bbox\":[219,352,232,361],\"text\":\"102\"},{\"bbox\":[770,352,787,363],\"text\":\"7\"},{\"bbox\":[98,357,118,372],\"text\":\"U2\"},{\"bbox\":[319,358,348,370],\"text\":\"U21\"},{\"bbox\":[164,360,176,378],\"text\":\"P3\"},{\"bbox\":[9,361,18,380],\"text\":\"D1\"},{\"bbox\":[248,361,276,374],\"text\":\"RM4\"},{\"bbox\":[375,362,402,374],\"text\":\"R37\"},{\"bbox\":[754,365,764,404],\"text\":\"[GND]\"},{\"bbox\":[740,367,752,404],\"text\":\"TPG2\"},{\"bbox\":[66,368,86,383],\"text\":\"P4\"},{\"bbox\":[33,369,45,390],\"text\":null},{\"bbox\":[487,370,501,395],\"text\":\"RC1\"},{\"bbox\":[575,375,587,384],\"text\":null},{\"bbox\":[587,375,598,385],\"text\":null},{\"bbox\":[611,376,620,385],\"text\":null},{\"bbox\":[601,377,611,383],\"text\":null},{\"bbox\":[311,386,358,419],\"text\":\"CX104BB 50.000M TCY1121\"},{\"bbox\":[377,389,395,403],\"text\":\"R2\"},{\"bbox\":[424,393,438,402],\"text\":\"102\"},{\"bbox\":[106,398,138,434],\"text\":\"150 CFK 0C7\"},{\"bbox\":[41,404,57,433],\"text\":\"CN1\"},{\"bbox\":[527,412,555,426],\"text\":\"RM2\"},{\"bbox\":[574,412,586,420],\"text\":\"1\"},{\"bbox\":[598,412,610,421],\"text\":\"3\"},{\"bbox\":[587,413,598,421],\"text\":\"2\"},{\"bbox\":[610,413,623,421],\"text\":\"4\"},{\"bbox\":[645,413,741,444],\"text\":\"HUMANDATA XCM-019B\"},{\"bbox\":[415,414,446,430],\"text\":\"RM5\"},{\"bbox\":[195,416,209,437],\"text\":\"L6\"},{\"bbox\":[209,416,221,439],\"text\":\"L5\"},{\"bbox\":[236,416,248,436],\"text\":\"L3\"},{\"bbox\":[249,416,263,436],\"text\":\"L2\"},{\"bbox\":[278,416,291,437],\"text\":\"L0\"},{\"bbox\":[179,417,193,436],\"text\":\"L7\"},{\"bbox\":[223,417,234,437],\"text\":\"L4\"},{\"bbox\":[264,418,276,436],\"text\":\"L1\"},{\"bbox\":[375,418,399,431],\"text\":\"R33\"},{\"bbox\":[84,420,98,436],\"text\":\"C1\"},{\"bbox\":[464,431,500,448],\"text\":\"CNA\"},{\"bbox\":[753,436,775,448],\"text\":\"66\"},{\"bbox\":[0,456,14,473],\"text\":\"2\"},{\"bbox\":[1,479,15,501],\"text\":\"1\"}]", "predicted": "[\n {\"box_2d\": [22, 4, 48, 12], \"text\": \"2\"},\n {\"box_2d\": [66, 5, 92, 11], \"text\": \"1\"},\n {\"box_2d\": [62, 956, 88, 962], \"text\": null},\n {\"box_2d\": [108, 468, 130, 488], \"text\": \"R3\"},\n {\"box_2d\": [112, 286, 136, 326], \"text\": \"CNB\"},\n {\"box_2d\": [110, 54, 160, 69], \"text\": \"CN5\"},\n {\"box_2d\": [114, 692, 166, 705], \"text\": \"SW3\"},\n {\"box_2d\": [116, 578, 168, 591], \"text\": \"SW2\"},\n {\"box_2d\": [134, 212, 160, 240], \"text\": \"C13\"},\n {\"box_2d\": [154, 524, 174, 558], \"text\": \"RM6\"},\n {\"box_2d\": [160, 315, 180, 336], \"text\": \"C8\"},\n {\"box_2d\": [162, 469, 186, 498], \"text\": \"R38\"},\n {\"box_2d\": [144, 141, 206, 174], \"text\": \"150 CFK. 0C7\"},\n {\"box_2d\": [158, 389, 220, 446], \"text\": \"CX104BB 30.000M TCY1151\"},\n {\"box_2d\": [210, 105, 236, 128], \"text\": \"C9\"},\n {\"box_2d\": [198, 535, 206, 545], \"text\": \"102\"},\n {\"box_2d\": [218, 229, 240, 251], \"text\": \"C5\"},\n {\"box_2d\": [222, 469, 246, 500], \"text\": \"R34\"},\n {\"box_2d\": [240, 274, 264, 300], \"text\": \"EM1\"},\n {\"box_2d\": [242, 822, 266, 895], \"text\": \"MR2A16A\"},\n {\"box_2d\": [260, 406, 282, 439], \"text\": \"U22\"},\n {\"box_2d\": [260, 532, 282, 574], \"text\": \"FPGA\"},\n {\"box_2d\": [294, 311, 338, 322], \"text\": \"TP1\"},\n {\"box_2d\": [300, 636, 354, 650], \"text\": \"R26\"},\n {\"box_2d\": [300, 690, 354, 704], \"text\": \"R25\"},\n {\"box_2d\": [298, 935, 348, 949], \"text\": \"U23\"},\n {\"box_2d\": [340, 45, 366, 70], \"text\": \"JP1\"},\n {\"box_2d\": [340, 75, 366, 108], \"text\": \"JP2\"},\n {\"box_2d\": [336, 970, 354, 976], \"text\": \"1\"},\n {\"box_2d\": [346, 296, 386, 310], \"text\": \"C6\"},\n {\"box_2d\": [388, 12, 428, 46], \"text\": \"TPG1 [GND]\"},\n {\"box_2d\": [364, 691, 408, 725], \"text\": \"L9 [DN]\"},\n {\"box_2d\": [400, 288, 440, 301], \"text\": \"C4\"},\n {\"box_2d\": [392, 138, 450, 220], \"text\": \"EN5335QI E01MD U140\"},\n {\"box_2d\": [392, 830, 438, 842], \"text\": \"RM1\"},\n {\"box_2d\": [404, 799, 440, 811], \"text\": \"U3\"},\n {\"box_2d\": [410, 865, 422, 879], \"text\": \"102\"},\n {\"box_2d\": [428, 661, 456, 675], \"text\": \"Q1\"},\n {\"box_2d\": [446, 299, 480, 312], \"text\": \"C7\"},\n {\"box_2d\": [450, 47, 488, 61], \"text\": \"C3\"},\n {\"box_2d\": [454, 799, 484, 811], \"text\": \"U4\"},\n {\"box_2d\": [460, 868, 480, 899], \"text\": \"R20\"},\n {\"box_2d\": [472, 118, 502, 131], \"text\": \"U1\"},\n {\"box_2d\": [464, 728, 514, 740], \"text\": \"CN2\"},\n {\"box_2d\": [438, 636, 526, 650], \"text\": \"U5 R19\"},\n {\"box_2d\": [494, 866, 514, 898], \"text\": \"R23\"},\n {\"box_2d\": [490, 90, 536, 102], \"text\": \"R16\"},\n {\"box_2d\": [504, 148, 548, 161], \"text\": \"C16\"},\n {\"box_2d\": [494, 236, 542, 249], \"text\": \"EM2\"},\n {\"box_2d\": [372, 431, 560, 562], \"text\": \"XILINX\u00ae SPARTAN\u00ae-6 XC6SLX45\u2122 FGG484CIV1145 D4317773A 2C\"},\n {\"box_2d\": [518, 801, 540, 834], \"text\": \"RM3\"},\n {\"box_2d\": [518, 106, 548, 132], \"text\": \"P2 P1\"},\n {\"box_2d\": [524, 868, 544, 895], \"text\": \"R21\"},\n {\"box_2d\": [464, 938, 568, 954], \"text\": \"[JTAG]\"},\n {\"box_2d\": [550, 765, 560, 779], \"text\": \"472\"},\n {\"box_2d\": [554, 866, 576, 898], \"text\": \"R22\"},\n {\"box_2d\": [536, 68, 582, 105], \"text\": \"L8 [PW]\"},\n {\"box_2d\": [558, 652, 578, 670], \"text\": \"R1\"},\n {\"box_2d\": [572, 11, 594, 42], \"text\": \"CN4\"},\n {\"box_2d\": [578, 714, 598, 740], \"text\": \"R11\"},\n {\"box_2d\": [602, 433, 628, 491], \"text\": \"TAIWAN\"},\n {\"box_2d\": [594, 656, 630, 670], \"text\": \"R6\"},\n {\"box_2d\": [588, 939, 640, 952], \"text\": \"CN3\"},\n {\"box_2d\": [610, 714, 632, 744], \"text\": \"R10\"},\n {\"box_2d\": [572, 291, 674, 312], \"text\": \"C17 C15\"},\n {\"box_2d\": [624, 7, 666, 20], \"text\": \"C11\"},\n {\"box_2d\": [638, 715, 662, 735], \"text\": \"R9\"},\n {\"box_2d\": [624, 139, 686, 219], \"text\": \"EN5335QI E01MD U140\"},\n {\"box_2d\": [668, 106, 716, 119], \"text\": \"C14\"},\n {\"box_2d\": [674, 714, 696, 736], \"text\": \"R8\"},\n {\"box_2d\": [676, 744, 698, 771], \"text\": \"SW1\"},\n {\"box_2d\": [686, 658, 720, 671], \"text\": \"R7\"},\n {\"box_2d\": [690, 931, 726, 945], \"text\": \"U7\"},\n {\"box_2d\": [708, 279, 718, 290], \"text\": \"102\"},\n {\"box_2d\": [708, 964, 724, 978], \"text\": \"7\"},\n {\"box_2d\": [712, 404, 738, 433], \"text\": \"U21\"},\n {\"box_2d\": [714, 125, 740, 146], \"text\": \"U2\"},\n {\"box_2d\": [716, 206, 750, 219], \"text\": \"P3\"},\n {\"box_2d\": [722, 312, 744, 345], \"text\": \"RM4\"},\n {\"box_2d\": [726, 471, 748, 502], \"text\": \"R37\"},\n {\"box_2d\": [724, 11, 752, 22], \"text\": \"D1\"},\n {\"box_2d\": [736, 84, 758, 104], \"text\": \"P4\"},\n {\"box_2d\": [654, 811, 752, 902], \"text\": \"4 25P32V6P 78646 VS PHL 110\"},\n {\"box_2d\": [738, 47, 770, 59], \"text\": \"L9\"},\n {\"box_2d\": [742, 613, 788, 626], \"text\": \"RC1\"},\n {\"box_2d\": [752, 722, 766, 775], \"text\": \"ONJM\"},\n {\"box_2d\": [730, 929, 804, 956], \"text\": \"TPG2 [GND]\"},\n {\"box_2d\": [780, 472, 804, 493], \"text\": \"R2\"},\n {\"box_2d\": [780, 675, 800, 681], \"text\": \"102\"},\n {\"box_2d\": [790, 535, 800, 548], \"text\": \"102\"},\n {\"box_2d\": [772, 391, 834, 447], \"text\": \"CX104BB 50.000M TCY1121\"},\n {\"box_2d\": [826, 721, 838, 776], \"text\": \"1234\"},\n {\"box_2d\": [824, 661, 848, 694], \"text\": \"RM2\"},\n {\"box_2d\": [818, 56, 860, 70], \"text\": \"CN1\"},\n {\"box_2d\": [830, 524, 852, 558], \"text\": \"RM5\"},\n {\"box_2d\": [800, 141, 862, 174], \"text\": \"150 CFK. 0C7\"},\n {\"box_2d\": [836, 471, 860, 502], \"text\": \"R33\"},\n {\"box_2d\": [836, 229, 868, 241], \"text\": \"L7\"},\n {\"box_2d\": [834, 246, 868, 259], \"text\": \"L6\"},\n {\"box_2d\": [834, 264, 868, 276], \"text\": \"L5\"},\n {\"box_2d\": [834, 281, 868, 294], \"text\": \"L4\"},\n {\"box_2d\": [834, 298, 868, 311], \"text\": \"L3\"},\n {\"box_2d\": [834, 315, 868, 329], \"text\": \"L2\"},\n {\"box_2d\": [840, 333, 868, 346], \"text\": \"L1\"},\n {\"box_2d\": [834, 350, 868, 364], \"text\": \"L0\"},\n {\"box_2d\": [840, 105, 868, 119], \"text\": \"C1\"},\n {\"box_2d\": [852, 711, 878, 718], \"text\": \"1\"},\n {\"box_2d\": [864, 584, 892, 626], \"text\": \"CNA\"},\n {\"box_2d\": [830, 809, 882, 922], \"text\": \"HUMANDATA XCM-019B\"},\n {\"box_2d\": [874, 944, 896, 968], \"text\": \"66\"},\n {\"box_2d\": [912, 5, 938, 14], \"text\": \"2\"},\n {\"box_2d\": [958, 6, 982, 12], \"text\": \"1\"}\n]", "correct": false, "input_tokens": 1322, "output_tokens": 4070, "elapsed_seconds": 32.382693125051446, "metadata": {"question": "{\"question\": \"Locate and transcribe all visible text on the circuit board and its components.\", \"specification\": \"Use one box per distinct marking; join lines within the same marking with single spaces. Exclude logos and non-text symbols. Return plain text, not LaTeX.\\n\\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Do not include explanations or Markdown.\", \"task\": \"localization_recognition\"}", "sample_id": "033b64675b830643e0ab6fb88a63ecc42f9923c6435f90599f9f743ccf6bddac", "category": "localization_recognition", "subset": "6594bb1ef85ebb84", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "022dc2f67bf7ac89d094b5998d0078a0a1a5f50dd3efa628ba47a15c624c0b2d", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe all visible text on the circuit board and its components.\n\nUse one box per distinct marking; join lines within the same marking with single spaces. Exclude logos and non-text symbols. Return plain text, not LaTeX.\n\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Do not include explanations or Markdown.\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 0.6953, "status": "ok", "format_compliant": true, "detection_f1": 0.7296137339055794, "matched_regions": 81, "reference_regions": 121, "predicted_regions": 112, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 32.4118}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 491, "image": "image_92a5a9515e5595634fb36fad_jpg.rf.60a953729e45cf4e52296474c2e59b02.jpg", "expected": "[{\"bbox\":[940,68,996,111],\"text\":\"3,7\"},{\"bbox\":[21,145,80,188],\"text\":\"4,3\"},{\"bbox\":[567,924,596,956],\"text\":\"3\"}]", "predicted": "[{\"box_2d\": [59, 868, 95, 913], \"text\": \"3,7\"}, {\"box_2d\": [128, 22, 160, 72], \"text\": \"4,3\"}, {\"box_2d\": [806, 523, 833, 545], \"text\": \"3\"}]", "correct": true, "input_tokens": 1332, "output_tokens": 100, "elapsed_seconds": 3.836920083966106, "metadata": {"question": "{\"question\": \"Locate and transcribe all visible map labels, abbreviations and numbers.\", \"specification\": \"Use one box per label line, keeping spaced-out letters of the same label together. Include rotated and curved labels; enclose each curved line in one box. Transcribe only visible characters at image edges. Preserve historical spelling, diacritics and punctuation; do not expand abbreviations or modernize names. Return plain text, not LaTeX.\\n\\nUse tight, axis-aligned boxes. Return entries top-to-bottom, then left-to-right. Use null for a visible region whose text cannot be read, and [] when none are present. Return no explanations or Markdown.\", \"task\": \"localization_recognition\"}", "sample_id": "2bdc6c9cae75702c172b94aa63b76310744079f7e9752e8f0cb9490c3e484112", "category": "localization_recognition", "subset": "60ba2e315b54c16e", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "9ea931ad16de84af705fc66726dcebc3278f3d00c29d2148383accc42efb3547", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe all visible map labels, abbreviations and numbers.\n\nUse one box per label line, keeping spaced-out letters of the same label together. Include rotated and curved labels; enclose each curved line in one box. Transcribe only visible characters at image edges. Preserve historical spelling, diacritics and punctuation; do not expand abbreviations or modernize names. Return plain text, not LaTeX.\n\nUse tight, axis-aligned boxes. Return entries top-to-bottom, then left-to-right. Use null for a visible region whose text cannot be read, and [] when none are present. Return no explanations or Markdown.\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 1.0, "status": "ok", "format_compliant": true, "detection_f1": 1.0, "matched_regions": 3, "reference_regions": 3, "predicted_regions": 3, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 3.9112}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 492, "image": "image_b05581f77445c81796a25f3d_png_jpg.rf.87f92e48cd4c81471ab5e41f7d589ab4.jpg", "expected": "99009", "predicted": "09019", "correct": false, "input_tokens": 1152, "output_tokens": 9, "elapsed_seconds": 3.159859540988691, "metadata": {"question": "{\"question\": \"Read the electricity meter reading indicated by the five dials in this image. Return only the five-digit reading, preserving leading zeros. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "759cb2cd8739f121e44dfa3dd977840042d0a35ac188ef8219824403345cb827", "category": "single_string", "subset": "65c332a8b2270f58", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "c18911a56d39ed6d59a59a535eb6ab6f7365ff475c91e4158c825d7b1ca8dd79", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the electricity meter reading indicated by the five dials in this image. Return only the five-digit reading, preserving leading zeros. Do not explain.", "match_method": "single_string", "score": 0.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 3.2216}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 493, "image": "image_a87b7942931e47bae5c65a02_jpg.rf.f976c6ba1947054f966e3e0067c6b36f.jpg", "expected": "195-30-1285\n2644", "predicted": "195-30-1285\n2644", "correct": true, "input_tokens": 1197, "output_tokens": 20, "elapsed_seconds": 3.173804499907419, "metadata": {"question": "{\"question\": \"Transcribe the engraved or stamped letters and numbers on the main foreground metal part. Read each marking in its own orientation; follow curved identifiers from their beginning and put a separate serial number on a new line. Order other lines top-to-bottom, left-to-right. Preserve case, punctuation and line breaks; exclude inspection logos, non-text symbols and clipped background markings. Do not infer missing characters. Use [illegible] for unreadable spans. Return only the transcription, without Markdown or explanations.\", \"task\": \"transcription\"}", "sample_id": "6ff97ea8a570fbd8fc625c3fa3f6c98db3ad52f2f74a99bd2e66d08933e86985", "category": "transcription", "subset": "b2eb7f0ca4b3cb11", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "4266ab9e915f196e273cc8fc68e7a6d7c5bedfeba45227906908f56c6143e53f", "text_protocol": "mixed-text-v2", "scoring_profile": "transcription", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Transcribe the engraved or stamped letters and numbers on the main foreground metal part. Read each marking in its own orientation; follow curved identifiers from their beginning and put a separate serial number on a new line. Order other lines top-to-bottom, left-to-right. Preserve case, punctuation and line breaks; exclude inspection logos, non-text symbols and clipped background markings. Do not infer missing characters. Use [illegible] for unreadable spans. Return only the transcription, without Markdown or explanations.", "match_method": "transcription", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 3.2271}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 494, "image": "image_42d58e98ec27e699ae1d5114_jpg.rf.99d0d153de8752e8c0d8a82d652460d1.jpg", "expected": "{\"invoice_number\":\"411\",\"date\":\"30/09/025\",\"customer_name\":\"Smt Rani\",\"items\":[{\"medicine\":\"ERest beta 0.25\",\"quantity\":\"10 tb\",\"batch_number\":\"CTV01ABA\",\"expiration_date\":\"11/27\",\"amount\":\"58\"},{\"medicine\":\"Health OK\",\"quantity\":\"10 tb\",\"batch_number\":\"SJA1X093\",\"expiration_date\":\"10/26\",\"amount\":\"110\"},{\"medicine\":\"Tramadin Plus\",\"quantity\":\"10 tb\",\"batch_number\":\"CHSX01\",\"expiration_date\":\"4/27\",\"amount\":\"93\"},{\"medicine\":\"Pantakind DSR\",\"quantity\":\"10 tb\",\"batch_number\":\"FGAGX014\",\"expiration_date\":\"4/27\",\"amount\":\"120\"}],\"total\":\"342\"}", "predicted": "{\n \"invoice_number\": \"411\",\n \"date\": \"30/09/025\",\n \"customer_name\": \"Smt Rani\",\n \"items\": [\n {\n \"medicine\": \"Erest beta 0.25\",\n \"quantity\": \"10T\",\n \"batch_number\": \"CHV0148A\",\n \"expiration_date\": \"11/27\",\n \"amount\": \"58\"\n },\n {\n \"medicine\": \"Health ok\",\n \"quantity\": \"10T\",\n \"batch_number\": \"SJA1X093\",\n \"expiration_date\": \"10/26\",\n \"amount\": \"110\"\n },\n {\n \"medicine\": \"Tramadin Plus\",\n \"quantity\": \"10T\",\n \"batch_number\": \"CHSY01\",\n \"expiration_date\": \"4/27\",\n \"amount\": \"93\"\n },\n {\n \"medicine\": \"Pantakind- DSR\",\n \"quantity\": \"10T\",\n \"batch_number\": \"F6AGX014\",\n \"expiration_date\": \"4/27\",\n \"amount\": \"120\"\n }\n ],\n \"total\": \"342\"\n}", "correct": false, "input_tokens": 1307, "output_tokens": 329, "elapsed_seconds": 16.02707266691141, "metadata": {"question": "{\"question\": \"Extract the information from this pharmacy bill. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"invoice_number\\\": null,\\n \\\"date\\\": null,\\n \\\"customer_name\\\": null,\\n \\\"items\\\": [\\n {\\n \\\"medicine\\\": null,\\n \\\"quantity\\\": null,\\n \\\"batch_number\\\": null,\\n \\\"expiration_date\\\": null,\\n \\\"amount\\\": null\\n }\\n ],\\n \\\"total\\\": null\\n}\\n\\nReturn one item per medicine row in reading order. Preserve quantity units. Separate batch numbers from expiration dates. amount is the row amount, not the unit price; total is the final payable amount. Do not calculate amounts. If there are no medicine rows, return an empty items array.\\n\\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "9ac480850dd9c475eeced33f6964bbbece5fcac6f2b2194290b5a42374dff16e", "category": "structured", "subset": "05ecf6bf05f5c67d", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "ae0ff6da410ae593f4a0845f1df972e2a5b527e031f303e44669a441d7255883", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information from this pharmacy bill. Return only a valid JSON object with these fields:\n\n{\n \"invoice_number\": null,\n \"date\": null,\n \"customer_name\": null,\n \"items\": [\n {\n \"medicine\": null,\n \"quantity\": null,\n \"batch_number\": null,\n \"expiration_date\": null,\n \"amount\": null\n }\n ],\n \"total\": null\n}\n\nReturn one item per medicine row in reading order. Preserve quantity units. Separate batch numbers from expiration dates. amount is the row amount, not the unit price; total is the final payable amount. Do not calculate amounts. If there are no medicine rows, return an empty items array.\n\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 0.5833, "status": "ok", "format_compliant": true, "matched_fields": 14, "reference_fields": 24, "predicted_fields": 24, "non_null_field_accuracy": 0.5833333333333334, "object_exact_match": false, "attempts": 1, "retries": 0, "total_seconds": 17.0425}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 495, "image": "image_49a3df5f8f514b74cc98149f_jpg.rf.e11185f6545468cc127927499c6d7b1a.jpg", "expected": "07530", "predicted": "07530", "correct": true, "input_tokens": 1146, "output_tokens": 9, "elapsed_seconds": 2.873392374953255, "metadata": {"question": "{\"question\": \"Read the electricity meter reading visible in this image. Return only the reading as a string of digits. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "be94ce987657318210fa842384bb24a6cd6ee072058c19dd3d8e999733e91f77", "category": "single_string", "subset": "3a0d0e0892a8fc95", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "722231b5826f42adbeaff34aa14506ffb5a323db4ba98811e3fe82968611da06", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the electricity meter reading visible in this image. Return only the reading as a string of digits. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 2.9535}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 496, "image": "image_76c7c4d7d9b242559b9384c1_jpg.rf.09355d30012aaa9212f8e12fba88f10b.jpg", "expected": "250203", "predicted": "250203", "correct": true, "input_tokens": 1143, "output_tokens": 10, "elapsed_seconds": 2.223651250009425, "metadata": {"question": "{\"question\": \"Read the six-digit code engraved on the metal surface. Return only the code as a string of digits, preserving leading zeros. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "dca87da61f6a3f5dd69a9a441cc7e5d9e6afc219f357dac68abbd299e71f83ce", "category": "single_string", "subset": "f2a87f15a0d3eb96", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "45a1af1d53de10fff5c2c9871f8532ea0df5f76adfbad0c4e25e5f3e81613f8c", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the six-digit code engraved on the metal surface. Return only the code as a string of digits, preserving leading zeros. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 2.2334}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 497, "image": "image_187781a02299caff507a557e_jpg.rf.00ac562bbe6f2296e5a2b942b98a79f5.jpg", "expected": "{\"recipient_name\":\"\u5c71\u4e0a\u8a69\u7a42\",\"recipient_furigana\":\"\u30e4\u30de\u30ab\u30df\u30b7\u30aa\",\"recipient_address\":\"\u611b\u77e5\u770c\u540d\u53e4\u5c4b\u5e02\u897f\u533a\u540d\u99c52\u4e01\u76ee16-9\u30d7\u30ec\u30b5\u30f3\u30b9\u540d\u53e4\u5c4bSTATION\u30d3\u30b8\u30e5 1505\",\"recipient_position\":null,\"salary_payment_amount\":\"7,000,000\",\"income_after_salary_deduction\":\"5,100,000\",\"total_income_deductions\":\"220,000\",\"withholding_tax\":\"194,500\",\"payer_name\":\"\u682a\u5f0f\u4f1a\u793e\u30a2\u30bb\u30c3\u30c8\u30b8\u30e3\u30d1\u30f3\",\"payer_address\":\"\u611b\u77e5\u770c\u540d\u53e4\u5c4b\u5e02\u4e2d\u533a\u68042-2-23\u30a2\u30fc\u30af\u767d\u5ddd\u516c\u5712\u30d3\u30eb7F\",\"payer_phone\":\"052-990-2645\"}", "predicted": "{\n \"recipient_name\": \"\u5c71\u4e0a\u8a69\u7a42\",\n \"recipient_furigana\": \"\u30e4\u30de\u30ab\u30df\u30b7\u30db\",\n \"recipient_address\": \"\u611b\u77e5\u770c\u540d\u53e4\u5c4b\u5e02\u897f\u533a\u540d\u99c52\u4e01\u76ee16-9\u30d7\u30ec\u30b5\u30f3\u30b9\u540d\u53e4\u5c4bSTATION\u30d3\u30b8\u30e51505\",\n \"recipient_position\": null,\n \"salary_payment_amount\": \"7,000,000\",\n \"income_after_salary_deduction\": \"5,100,000\",\n \"total_income_deductions\": \"220,000\",\n \"withholding_tax\": \"194,500\",\n \"payer_name\": \"\u682a\u5f0f\u4f1a\u793e\u30a2\u30bb\u30c3\u30c8\u30b8\u30e3\u30d1\u30f3\",\n \"payer_address\": \"\u611b\u77e5\u770c\u540d\u53e4\u5c4b\u5e02\u4e2d\u533a\u68042-2-23\u30a2\u30fc\u30af\u767d\u5ddd\u516c\u5712\u30d3\u30eb7F\",\n \"payer_phone\": \"052-990-2645\"\n}", "correct": false, "input_tokens": 1418, "output_tokens": 218, "elapsed_seconds": 11.97775141603779, "metadata": {"question": "{\"question\": \"Extract these fields from the Japanese salary withholding certificate. Return only a valid JSON object with this structure:\\n\\n{\\n \\\"recipient_name\\\": null,\\n \\\"recipient_furigana\\\": null,\\n \\\"recipient_address\\\": null,\\n \\\"recipient_position\\\": null,\\n \\\"salary_payment_amount\\\": null,\\n \\\"income_after_salary_deduction\\\": null,\\n \\\"total_income_deductions\\\": null,\\n \\\"withholding_tax\\\": null,\\n \\\"payer_name\\\": null,\\n \\\"payer_address\\\": null,\\n \\\"payer_phone\\\": null\\n}\\n\\nRecipient fields come from \u652f\u6255\u3092\u53d7\u3051\u308b\u8005; payer fields come from \u652f\u6255\u8005. Map amounts to \u652f\u6255\u91d1\u984d, \u7d66\u4e0e\u6240\u5f97\u63a7\u9664\u5f8c\u306e\u91d1\u984d, \u6240\u5f97\u63a7\u9664\u306e\u984d\u306e\u5408\u8a08\u984d and \u6e90\u6cc9\u5fb4\u53ce\u7a0e\u984d respectively. Join digits across adjacent boxes; omit printed currency/unit headings, preserving visible numeric separators. Copy furigana exactly even if it differs from the name; do not repair inconsistent entries.\\n\\nIgnore typographic spacing inside Japanese names, words and digit strings; join wrapped Japanese text without adding spaces. Use ASCII digits; preserve actual punctuation. Preserve other text as written. Do not infer missing information or translate. Use strings for extracted values and null for missing or unreadable fields. Include every key. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "bade0b534b3b31b735589a8db9298d0aa025d15345b6578fad077a908b28e1eb", "category": "structured", "subset": "7536d2f054eb9bde", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "802330550adb5e2dbf153be62450494d52825496546eab2b27af0bd5d2465b5b", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract these fields from the Japanese salary withholding certificate. Return only a valid JSON object with this structure:\n\n{\n \"recipient_name\": null,\n \"recipient_furigana\": null,\n \"recipient_address\": null,\n \"recipient_position\": null,\n \"salary_payment_amount\": null,\n \"income_after_salary_deduction\": null,\n \"total_income_deductions\": null,\n \"withholding_tax\": null,\n \"payer_name\": null,\n \"payer_address\": null,\n \"payer_phone\": null\n}\n\nRecipient fields come from \u652f\u6255\u3092\u53d7\u3051\u308b\u8005; payer fields come from \u652f\u6255\u8005. Map amounts to \u652f\u6255\u91d1\u984d, \u7d66\u4e0e\u6240\u5f97\u63a7\u9664\u5f8c\u306e\u91d1\u984d, \u6240\u5f97\u63a7\u9664\u306e\u984d\u306e\u5408\u8a08\u984d and \u6e90\u6cc9\u5fb4\u53ce\u7a0e\u984d respectively. Join digits across adjacent boxes; omit printed currency/unit headings, preserving visible numeric separators. Copy furigana exactly even if it differs from the name; do not repair inconsistent entries.\n\nIgnore typographic spacing inside Japanese names, words and digit strings; join wrapped Japanese text without adding spaces. Use ASCII digits; preserve actual punctuation. Preserve other text as written. Do not infer missing information or translate. Use strings for extracted values and null for missing or unreadable fields. Include every key. Do not include explanations or Markdown.", "match_method": "structured", "score": 0.8182, "status": "ok", "format_compliant": true, "matched_fields": 9, "reference_fields": 11, "predicted_fields": 11, "non_null_field_accuracy": 0.8, "object_exact_match": false, "attempts": 1, "retries": 0, "total_seconds": 12.1323}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 498, "image": "image_54d1c46c1887b049fb5adce0_jpg.rf.ee4f31512b4d2b728befd9d6c5223a69.jpg", "expected": "N C", "predicted": "N 3", "correct": false, "input_tokens": 1154, "output_tokens": 7, "elapsed_seconds": 3.230227708001621, "metadata": {"question": "{\"question\": \"Read the letters and numbers imprinted on the pill in this image. Return only the text, preserving capitalization and separating lines with a single space. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "3e86afe22ec17e1f69ac1ad839be76f5572465504579a730e827fd39f521f33a", "category": "single_string", "subset": "5c725e357739b9ce", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "77cd815534dcd7a927d83999e104d1a813f889c86a187334b3b19628a17e45f3", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the letters and numbers imprinted on the pill in this image. Return only the text, preserving capitalization and separating lines with a single space. Do not explain.", "match_method": "single_string", "score": 0.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 3.2472}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 499, "image": "image_8417c41a8ea005d82e536efd_jpg.rf.8d859cc657e4d0ccf1037f7dcf966d8f.jpg", "expected": "{\"carrier\":\"FedEx\",\"tracking_number\":\"788500420243\",\"sender_name\":\"Shipping Department Wayfair Inc. (Drop Ship)\",\"sender_address\":\"7 Sunset Way Suites 150 Henderson NV 89014 US\",\"recipient_name\":\"Mary Sawyer\",\"recipient_address\":\"22715 County Road 121 Bullard TX 75757 (US)\",\"shipping_service\":\"Home Delivery\",\"weight\":\"49.80 LB\"}", "predicted": "{\n \"carrier\": \"FedEx\",\n \"tracking_number\": \"788500420243\",\n \"sender_name\": \"Shipping Department Wayfair Inc. (Drop Ship)\",\n \"sender_address\": \"7 Sunset Way Suites 150 Henderson NV 89014 US\",\n \"recipient_name\": \"Mary Sawyer\",\n \"recipient_address\": \"22715 County Road 121 Bullard TX 75757 (US)\",\n \"shipping_service\": \"Home Delivery\",\n \"weight\": \"49.80 LB\"\n}", "correct": true, "input_tokens": 1366, "output_tokens": 147, "elapsed_seconds": 3.5441337920492515, "metadata": {"question": "{\"question\": \"Extract the information printed on this shipping label. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"carrier\\\": null,\\n \\\"tracking_number\\\": null,\\n \\\"sender_name\\\": null,\\n \\\"sender_address\\\": null,\\n \\\"recipient_name\\\": null,\\n \\\"recipient_address\\\": null,\\n \\\"shipping_service\\\": null,\\n \\\"weight\\\": null\\n}\\n\\nIgnore accompanying paperwork. Keep company and department lines in names, not addresses; exclude phone numbers. Return tracking_number without spaces (e.g., \u201c7885 0040 8757\u201d \u2192 \u201c788500408757\u201d). Omit the carrier from shipping_service (e.g., \u201cFedEx Home Delivery\u201d \u2192 \u201cHome Delivery\u201d). Retain weight units and printed country information in addresses.\\n\\nPreserve all other text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "36855ab92bcd8d95e141073310c2cc68736a4082e2f4630068ee9e829ac377df", "category": "structured", "subset": "ccd97de2b96725a9", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "60af5f9bb4c6612a26a70578149d74e6c9bab16487e4680d5878b7c5208f4855", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on this shipping label. Return only a valid JSON object with these fields:\n\n{\n \"carrier\": null,\n \"tracking_number\": null,\n \"sender_name\": null,\n \"sender_address\": null,\n \"recipient_name\": null,\n \"recipient_address\": null,\n \"shipping_service\": null,\n \"weight\": null\n}\n\nIgnore accompanying paperwork. Keep company and department lines in names, not addresses; exclude phone numbers. Return tracking_number without spaces (e.g., \u201c7885 0040 8757\u201d \u2192 \u201c788500408757\u201d). Omit the carrier from shipping_service (e.g., \u201cFedEx Home Delivery\u201d \u2192 \u201cHome Delivery\u201d). Retain weight units and printed country information in addresses.\n\nPreserve all other text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 8, "reference_fields": 8, "predicted_fields": 8, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 3.5703}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 500, "image": "image_a8dec3a56e43be12c063e27b_jpg.rf.554b8b6682c11787978fa7a8d6f24f4e.jpg", "expected": "SU-BMQ", "predicted": "SU-BMQ", "correct": true, "input_tokens": 1160, "output_tokens": 8, "elapsed_seconds": 2.4428575829369947, "metadata": {"question": "{\"question\": \"Read the aircraft registration number visible in this image. Return only the registration, preserving letters, digits, and hyphens. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "97c4614ad2497e14b4fd7cfa26f5c542f217575d1f74d6d369531af5a1637e73", "category": "single_string", "subset": "933cf5fad9e7f564", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "d849963c2a69efb0c9424ec94ac17d0ec12933477be21e7dc02b43585f3ec36b", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the aircraft registration number visible in this image. Return only the registration, preserving letters, digits, and hyphens. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 2.4621}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 501, "image": "image_588d2811d5f128c38fee0cf2_jpg.rf.042216b433bfe587d6866fc4438dd449.jpg", "expected": "2022.12.15", "predicted": "2022.12.15", "correct": true, "input_tokens": 1140, "output_tokens": 14, "elapsed_seconds": 3.1606910000555217, "metadata": {"question": "{\"question\": \"Read the expiration date printed on the product in this image. Return only the date exactly as printed, preserving separators and written month names. Exclude prefixes such as \u201cEXP\u201d or \u201cBest Before\u201d. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "5682c9bd49fc77a51299f39a21fa641c20dbce6c2c9b5367835d29bcac9811f0", "category": "single_string", "subset": "6a08778bfde26392", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "3534ca92d6b1b6870f8df5ec5bc16d0f7cf9fa6a7820999a7a6a7c951c914168", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the expiration date printed on the product in this image. Return only the date exactly as printed, preserving separators and written month names. Exclude prefixes such as \u201cEXP\u201d or \u201cBest Before\u201d. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 3.2357}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 502, "image": "image_8677d1b093e9f1691a1aa361_jpg.rf.7ff42690d468b3dffb2a45fe341ab5c6.jpg", "expected": "{\"player_name\":\"FAEDO/HRBEK/LAUDNER\",\"card_number\":\"766\",\"year\":\"1982\",\"set_name\":\"TOPPS\",\"variety\":\"TWINS FUTURE STARS\",\"grade\":\"7\",\"grade_description\":\"NM\",\"qualifier\":null,\"certification_number\":\"48267036\"}", "predicted": "{\n \"player_name\": \"FAEDO/HRBEK/LAUDNER\",\n \"card_number\": \"766\",\n \"year\": \"1982\",\n \"set_name\": \"TOPPS\",\n \"variety\": \"TWINS FUTURE STARS\",\n \"grade\": \"7\",\n \"grade_description\": \"NM\",\n \"qualifier\": null,\n \"certification_number\": \"48267036\"\n}", "correct": true, "input_tokens": 1419, "output_tokens": 113, "elapsed_seconds": 4.130073167034425, "metadata": {"question": "{\"question\": \"Extract the information printed on this PSA-graded sports card and its holder. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"player_name\\\": null,\\n \\\"card_number\\\": null,\\n \\\"year\\\": null,\\n \\\"set_name\\\": null,\\n \\\"variety\\\": null,\\n \\\"grade\\\": null,\\n \\\"grade_description\\\": null,\\n \\\"qualifier\\\": null,\\n \\\"certification_number\\\": null\\n}\\n\\nPrefer the holder label; use the card only for missing player names and card numbers. Use its set heading without the year or card number as set_name; put separate team, subset and variation text in variety, excluding authentication notices. Keep only player names in player_name. Preserve printed years or seasons.\\n\\nReturn the numeric grade, including decimals (e.g., \u201cEX-MT+ 6.5\u201d \u2192 \u201c6.5\u201d), its wording in grade_description, and condition qualifiers in qualifier (e.g., \u201c8 (OC)\u201d \u2192 \u201cOC\u201d). Omit #, spaces and set totals from card_number. Use the PSA certificate ID for certification_number.\\n\\nNormalize dashes to - without surrounding spaces and remove spaces before + (e.g., \u201cNM \u2013 MT +\u201d \u2192 \u201cNM-MT+\u201d). Preserve all other text and capitalization as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nInclude every key. Use strings for extracted values and null for missing fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "2bb70edcc5e18ea92ec95e55cb27ef09a76efcb75a829d90df33ff7e5e5d7f99", "category": "structured", "subset": "ae86443b5fadcab9", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "91be0fc88d2281c3da36663b1caf1c61d11599f8e74553de87ac3d2982323200", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on this PSA-graded sports card and its holder. Return only a valid JSON object with these fields:\n\n{\n \"player_name\": null,\n \"card_number\": null,\n \"year\": null,\n \"set_name\": null,\n \"variety\": null,\n \"grade\": null,\n \"grade_description\": null,\n \"qualifier\": null,\n \"certification_number\": null\n}\n\nPrefer the holder label; use the card only for missing player names and card numbers. Use its set heading without the year or card number as set_name; put separate team, subset and variation text in variety, excluding authentication notices. Keep only player names in player_name. Preserve printed years or seasons.\n\nReturn the numeric grade, including decimals (e.g., \u201cEX-MT+ 6.5\u201d \u2192 \u201c6.5\u201d), its wording in grade_description, and condition qualifiers in qualifier (e.g., \u201c8 (OC)\u201d \u2192 \u201cOC\u201d). Omit #, spaces and set totals from card_number. Use the PSA certificate ID for certification_number.\n\nNormalize dashes to - without surrounding spaces and remove spaces before + (e.g., \u201cNM \u2013 MT +\u201d \u2192 \u201cNM-MT+\u201d). Preserve all other text and capitalization as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nInclude every key. Use strings for extracted values and null for missing fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 9, "reference_fields": 9, "predicted_fields": 9, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 4.2126}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 503, "image": "image_9607f3159de2433c32aa7290_jpg.rf.b31acd44f5cba0fe9df5e0a24dbb77b1.jpg", "expected": "OO-GFD", "predicted": "OO-GFD", "correct": true, "input_tokens": 1140, "output_tokens": 8, "elapsed_seconds": 2.3108002910157666, "metadata": {"question": "{\"question\": \"Read the aircraft registration number visible in this image. Return only the registration, preserving letters, digits, and hyphens. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "d0023cba4f219775220dcbb8def753d72c71fc3d03b00facbcb58e81d5041a66", "category": "single_string", "subset": "933cf5fad9e7f564", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "f8e5198e885e623e7055ab4f62382b073a5b0e3b116f2bf853cad461817ddd72", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the aircraft registration number visible in this image. Return only the registration, preserving letters, digits, and hyphens. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 2.325}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 504, "image": "image_8999afa740fef6173f1cbe3f_jpg.rf.f050db4eac9a447e5d016ed486877579.jpg", "expected": "245/70R19.5", "predicted": "245/70R19.5", "correct": true, "input_tokens": 1250, "output_tokens": 15, "elapsed_seconds": 11.373615749995224, "metadata": {"question": "{\"question\": \"Read the tire size molded into the visible sidewall, such as 315/80R22.5 or 12R22.5. Return only the size text, removing spaces and preserving letters, digits, slashes and decimal points. Exclude the adjacent load index, speed rating, brand, model, DOT code and pressure or load measurements. If multiple size markings are visible, choose the one with the largest text; break ties left-to-right. Return null if the complete size is absent, cropped or unreadable. Do not include explanations or Markdown.\", \"task\": \"single_string\"}", "sample_id": "20e74fef32f0817db7f28375b354c4cd566da678bde1989947781b8b809b4b37", "category": "single_string", "subset": "aad8c1d2eecc1e5d", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "60028d225c4b98d3ce5638651f5b7d03795a5391482289130b7b1bcaae0a89ea", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the tire size molded into the visible sidewall, such as 315/80R22.5 or 12R22.5. Return only the size text, removing spaces and preserving letters, digits, slashes and decimal points. Exclude the adjacent load index, speed rating, brand, model, DOT code and pressure or load measurements. If multiple size markings are visible, choose the one with the largest text; break ties left-to-right. Return null if the complete size is absent, cropped or unreadable. Do not include explanations or Markdown.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 11.6837}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 505, "image": "image_0c7c8ef74d1a88203c306d47_jpg.rf.75df00ae3cabddca593bad499575aed6.jpg", "expected": "1:34", "predicted": "1:34", "correct": true, "input_tokens": 1198, "output_tokens": 8, "elapsed_seconds": 3.967488000052981, "metadata": {"question": "{\"question\": \"Read the illuminated value in the largest numeric readout on this treadmill display. If equally large readouts are present, choose the topmost, then leftmost. Preserve leading zeros and visible decimal points or colons between digits. Ignore unlit segments, isolated indicator lights and smaller secondary readouts. Do not infer units or reformat the value as time. Return only the displayed value, or null if incomplete or unreadable. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "94a1907e6b2967d35eb187735555956782af4482f3295fa05c66d533c4e787b7", "category": "single_string", "subset": "6320a2ab21674c00", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "4cf0c63b050b5e26cf8bee2252e87a314baa1d550c9623b851e392bf1ae31eb3", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the illuminated value in the largest numeric readout on this treadmill display. If equally large readouts are present, choose the topmost, then leftmost. Preserve leading zeros and visible decimal points or colons between digits. Ignore unlit segments, isolated indicator lights and smaller secondary readouts. Do not infer units or reformat the value as time. Return only the displayed value, or null if incomplete or unreadable. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 4.0078}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 506, "image": "image_14de54c1ae1f58425d9820cc_jpg.rf.fec371795b3e2f5b97630cf1da826469.jpg", "expected": "3:04", "predicted": "3:04", "correct": true, "input_tokens": 1220, "output_tokens": 8, "elapsed_seconds": 2.6297423751093447, "metadata": {"question": "{\"question\": \"Read the illuminated value in the largest numeric readout on this treadmill display. If equally large readouts are present, choose the topmost, then leftmost. Preserve leading zeros and visible decimal points or colons between digits. Ignore unlit segments, isolated indicator lights and smaller secondary readouts. Do not infer units or reformat the value as time. Return only the displayed value, or null if incomplete or unreadable. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "d69dc2f80da32e8894219aeeea2ad94087036cfbf8e66ba6ccb4e78828d2c262", "category": "single_string", "subset": "6320a2ab21674c00", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "e50dd52445f5121d7d0714e976e474405d6216d898e66e31ed53f087ef23c38d", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the illuminated value in the largest numeric readout on this treadmill display. If equally large readouts are present, choose the topmost, then leftmost. Preserve leading zeros and visible decimal points or colons between digits. Ignore unlit segments, isolated indicator lights and smaller secondary readouts. Do not infer units or reformat the value as time. Return only the displayed value, or null if incomplete or unreadable. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 2.6535}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 507, "image": "image_0d06a46e32d7dfea49da974a_jpg.rf.43e52286caf599a46e341fb23c718b72.jpg", "expected": "[{\"bbox\":[2432,707,2613,768],\"text\":\"14\u00b015' \u00b10\u00b030'\"},{\"bbox\":[2041,845,2098,873],\"text\":\"5.0\"},{\"bbox\":[1802,846,1902,876],\"text\":\"20.00\"},{\"bbox\":[2522,848,2554,974],\"text\":\"\u00d815.00\"},{\"bbox\":[1577,851,1627,1019],\"text\":\"\u00d811.4 +0.2 0\"},{\"bbox\":[1042,881,1138,977],\"text\":\"\u00d822.00\"},{\"bbox\":[1498,884,1548,1012],\"text\":\"\u00d814 0 -0.1\"},{\"bbox\":[2169,894,2261,923],\"text\":\"1X45\u00b0\"},{\"bbox\":[2599,1047,2630,1171],\"text\":\"\u00d819.00\"},{\"bbox\":[1605,1273,1694,1304],\"text\":\"1X45\u00b0\"},{\"bbox\":[1883,1320,1960,1352],\"text\":\"35.0\"},{\"bbox\":[907,1367,1000,1395],\"text\":\"19.00\"},{\"bbox\":[2020,1376,2122,1406],\"text\":\"59.50\"}]", "predicted": "[{\"box_2d\": [283, 692, 313, 744], \"text\": \"14\\u00b015' \\u00b10\\u00b030'\"}, {\"box_2d\": [339, 513, 353, 542], \"text\": \"20.00\"}, {\"box_2d\": [340, 579, 353, 599], \"text\": \"5.0\"}, {\"box_2d\": [342, 449, 412, 463], \"text\": \"\\u00d811.4 +0.2 0\"}, {\"box_2d\": [342, 718, 393, 728], \"text\": \"\\u00d815.00\"}, {\"box_2d\": [351, 297, 396, 328], \"text\": \"\\u00d822.00\"}, {\"box_2d\": [360, 427, 408, 441], \"text\": \"\\u00d814 0 -0.1\"}, {\"box_2d\": [360, 616, 372, 645], \"text\": \"1X45\\u00b0\"}, {\"box_2d\": [422, 740, 472, 750], \"text\": \"\\u00d819.00\"}, {\"box_2d\": [513, 456, 526, 484], \"text\": \"1X45\\u00b0\"}, {\"box_2d\": [532, 535, 545, 560], \"text\": \"35.0\"}, {\"box_2d\": [549, 256, 563, 286], \"text\": \"19.00\"}, {\"box_2d\": [553, 575, 566, 604], \"text\": \"59.50\"}]", "correct": true, "input_tokens": 1364, "output_tokens": 534, "elapsed_seconds": 7.255656624911353, "metadata": {"question": "{\"question\": \"Locate and transcribe all dimension annotations in this technical drawing.\", \"specification\": \"Use one tight, axis-aligned bounding box per dimension annotation, enclosing its text rather than the dimension lines or arrows. Include rotated annotations. Keep tolerances and stacked values with their associated dimension.\\n\\n\\n\\nPreserve each dimension as printed, including decimal separators, units, symbols, and tolerances. Join line breaks within an annotation with spaces. Do not calculate dimensions from the drawing or infer missing characters. Exclude titles, notes, part numbers, and other text that is not a dimension annotation. If an annotation is visible but cannot be transcribed, use null for its text.\\n\\nReturn entries in top-to-bottom, then left-to-right order. If no dimension annotations are visible, return []. Do not include explanations or Markdown.\", \"task\": \"localization_recognition\"}", "sample_id": "f159f069ebf8628ad4c28f39726428f9cbc90ec2ca91cd0dd2a23a55536e82c5", "category": "localization_recognition", "subset": "066a130d25134fbf", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "ba948f4d0fc475eecb82b65a733bac44f8d61abcef5a0345a972a6c688194ddf", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe all dimension annotations in this technical drawing.\n\nUse one tight, axis-aligned bounding box per dimension annotation, enclosing its text rather than the dimension lines or arrows. Include rotated annotations. Keep tolerances and stacked values with their associated dimension.\n\n\n\nPreserve each dimension as printed, including decimal separators, units, symbols, and tolerances. Join line breaks within an annotation with spaces. Do not calculate dimensions from the drawing or infer missing characters. Exclude titles, notes, part numbers, and other text that is not a dimension annotation. If an annotation is visible but cannot be transcribed, use null for its text.\n\nReturn entries in top-to-bottom, then left-to-right order. If no dimension annotations are visible, return []. Do not include explanations or Markdown.\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 1.0, "status": "ok", "format_compliant": true, "detection_f1": 1.0, "matched_regions": 13, "reference_regions": 13, "predicted_regions": 13, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 7.3362}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 508, "image": "image_5867946745ab8f261d6293c3_jpg.rf.f79b1670c92b21273cfb18ded3e1794c.jpg", "expected": "215/75R17.5", "predicted": "215/75R17.5", "correct": true, "input_tokens": 1214, "output_tokens": 15, "elapsed_seconds": 2.9212582500185817, "metadata": {"question": "{\"question\": \"Read the tire size molded into the visible sidewall, such as 315/80R22.5 or 12R22.5. Return only the size text, removing spaces and preserving letters, digits, slashes and decimal points. Exclude the adjacent load index, speed rating, brand, model, DOT code and pressure or load measurements. If multiple size markings are visible, choose the one with the largest text; break ties left-to-right. Return null if the complete size is absent, cropped or unreadable. Do not include explanations or Markdown.\", \"task\": \"single_string\"}", "sample_id": "62a0dd3a998a7a8164af0e14e716ccb229c817f7aa04c423443e223a6d13a906", "category": "single_string", "subset": "aad8c1d2eecc1e5d", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "99f90e0aa16a0046c33bd405b907db5d6badb8dd969c385946184d89832ea4d1", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the tire size molded into the visible sidewall, such as 315/80R22.5 or 12R22.5. Return only the size text, removing spaces and preserving letters, digits, slashes and decimal points. Exclude the adjacent load index, speed rating, brand, model, DOT code and pressure or load measurements. If multiple size markings are visible, choose the one with the largest text; break ties left-to-right. Return null if the complete size is absent, cropped or unreadable. Do not include explanations or Markdown.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 3.001}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 509, "image": "image_128ebb6a2a519ae7d4a2642e_jpg.rf.f02e6ad1a0cff2260d59bbb54a33ef08.jpg", "expected": "{\"route_number\":\"166\",\"bus_number\":\"7-3083\",\"destination_sign\":\"\u0e1b\u0e32\u0e01\u0e40\u0e01\u0e23\u0e47\u0e14 PAKKRET \u0e40\u0e21\u0e37\u0e2d\u0e07\u0e17\u0e2d\u0e07\u0e18\u0e32\u0e19\u0e35 MUANG THONG TANI\",\"license_plate\":\"12-2817\"}", "predicted": "{\n \"route_number\": \"166\",\n \"bus_number\": \"7-3083\",\n \"destination_sign\": \"\u0e1b\u0e32\u0e01\u0e40\u0e01\u0e23\u0e47\u0e14 PAKKRET \u0e40\u0e21\u0e37\u0e2d\u0e07\u0e17\u0e2d\u0e07\u0e18\u0e32\u0e19\u0e35 MUANG THONG TANI\",\n \"license_plate\": \"THAILAND 01 12-2817 \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23\"\n}", "correct": false, "input_tokens": 1209, "output_tokens": 88, "elapsed_seconds": 9.305025084060617, "metadata": {"question": "{\"question\": \"Extract the information printed on the main bus in this image. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"route_number\\\": null,\\n \\\"bus_number\\\": null,\\n \\\"destination_sign\\\": null,\\n \\\"license_plate\\\": null\\n}\\n\\nPreserve the text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "321597c6725281c8b186fa3cf7f99bf567bdba0bfe744d8e9c1e61a5c07a1b5b", "category": "structured", "subset": "477b707cebbcd6df", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "62baac53a7a4d752e107f795160154871a2b12c115e02edd656c90c6628dcd57", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on the main bus in this image. Return only a valid JSON object with these fields:\n\n{\n \"route_number\": null,\n \"bus_number\": null,\n \"destination_sign\": null,\n \"license_plate\": null\n}\n\nPreserve the text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 0.75, "status": "ok", "format_compliant": true, "matched_fields": 3, "reference_fields": 4, "predicted_fields": 4, "non_null_field_accuracy": 0.75, "object_exact_match": false, "attempts": 1, "retries": 0, "total_seconds": 9.8049}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 510, "image": "image_84322554e15ff7e6e1cb11d4_jpg.rf.4702cf6b8268b8c3d2a1147ffc2355e1.jpg", "expected": "34770", "predicted": "34770", "correct": true, "input_tokens": 1146, "output_tokens": 9, "elapsed_seconds": 3.10353954101447, "metadata": {"question": "{\"question\": \"Read the electricity meter reading visible in this image. Return only the reading as a string of digits. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "5ed822b1facd522d7600dcc94e7518d70bd639707dc0e451f5e488803e041c8d", "category": "single_string", "subset": "3a0d0e0892a8fc95", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "40f7dd2e868db8c7f6bec1d4b9e6186097f559dd77dc17eabda4e596f0ad25a1", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the electricity meter reading visible in this image. Return only the reading as a string of digits. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 3.186}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 511, "image": "image_03aaa81cc6edb3047c5e2fef_jpg.rf.226c1c552a1e2bfb2e2e863face8553a.jpg", "expected": "{\"heat_number\":\"A78468\",\"billet_id\":\"1051\"}", "predicted": "{\n \"heat_number\": \"A78468\",\n \"billet_id\": \"1051\"\n}", "correct": true, "input_tokens": 1241, "output_tokens": 36, "elapsed_seconds": 2.6038224170915782, "metadata": {"question": "{\"question\": \"Extract the information printed on the end of this metal billet. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"heat_number\\\": null,\\n \\\"billet_id\\\": null\\n}\\n\\nUse the letter-prefixed code for heat_number and the separate shorter numeric code for billet_id. Preserve leading zeros and omit spaces within codes.\\n\\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "19c945d09685377c38dca978dc2588f4148b7324083fbba310fbbb003171064f", "category": "structured", "subset": "84ce444ef86dc04d", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "32ea4a78dc4866b0628bad80339ad30a5662040342c1b5255e13840d80e3f27c", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on the end of this metal billet. Return only a valid JSON object with these fields:\n\n{\n \"heat_number\": null,\n \"billet_id\": null\n}\n\nUse the letter-prefixed code for heat_number and the separate shorter numeric code for billet_id. Preserve leading zeros and omit spaces within codes.\n\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 2, "reference_fields": 2, "predicted_fields": 2, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 2.6129}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 512, "image": "image_9505ac32ac24e6bcad01a9a7_jpg.rf.dd1611740d19a6adfff01a0562287ad1.jpg", "expected": "XW8ZZZCKZNG006202", "predicted": "XW8ZZZCKZNG006202", "correct": true, "input_tokens": 1155, "output_tokens": 17, "elapsed_seconds": 2.594264707993716, "metadata": {"question": "{\"question\": \"Read the vehicle identification number (VIN) visible in this image. Return only the VIN as a string of uppercase letters and digits, without spaces. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "d07b5533315b122f05115a2b67a4f803f0b8fca40837fbba6673a96f8d3bfa01", "category": "single_string", "subset": "733007c96827bfe7", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "a52ac57fdac72379d07fecd708cb8eeee84eb91fbe3aa717ec6fc0bb4ada8554", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the vehicle identification number (VIN) visible in this image. Return only the VIN as a string of uppercase letters and digits, without spaces. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 2.6016}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 513, "image": "image_0f6a2afc048262b82b5eacc4_jpg.rf.7344225d2dc0410f4ace9f61fc654830.jpg", "expected": "[{\"bbox\":[321,13,370,31],\"text\":\"THE\"},{\"bbox\":[276,14,308,32],\"text\":\"TO\"},{\"bbox\":[381,16,441,37],\"text\":\"CITY\"},{\"bbox\":[139,19,266,60],\"text\":\"WELCOME\"},{\"bbox\":[453,29,488,51],\"text\":\"OF\"},{\"bbox\":[131,62,490,147],\"text\":\"GLYNDON\"}]", "predicted": "[{\"box_2d\": [50, 217, 169, 412], \"text\": \"WELCOME\"}, {\"box_2d\": [39, 433, 83, 483], \"text\": \"TO\"}, {\"box_2d\": [36, 502, 81, 578], \"text\": \"THE\"}, {\"box_2d\": [44, 597, 106, 689], \"text\": \"CITY\"}, {\"box_2d\": [78, 709, 133, 758], \"text\": \"OF\"}, {\"box_2d\": [175, 205, 408, 764], \"text\": \"GLYNDON\"}]", "correct": true, "input_tokens": 1332, "output_tokens": 191, "elapsed_seconds": 4.9248954160138965, "metadata": {"question": "{\"question\": \"Locate and transcribe all text on the signs in this image.\", \"specification\": \"Use one box per word or standalone number, including curved words in a single box. Exclude text outside the signs and purely graphical symbols. Return plain text, not LaTeX.\\n\\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\", \"task\": \"localization_recognition\"}", "sample_id": "0851d89708a4c11b103be21844b533cdf25f12aa94b4bef31d097e88e0f66991", "category": "localization_recognition", "subset": "21363697af554f8e", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "4030ca5436edb5dfe118927ac688d6bc65dc028c36ddaf96f89e656da0533e22", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe all text on the signs in this image.\n\nUse one box per word or standalone number, including curved words in a single box. Exclude text outside the signs and purely graphical symbols. Return plain text, not LaTeX.\n\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 1.0, "status": "ok", "format_compliant": true, "detection_f1": 1.0, "matched_regions": 6, "reference_regions": 6, "predicted_regions": 6, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 4.944}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 514, "image": "image_fb5044701081f6c61fe62879_jpg.rf.de5357fa5ea730386c1e785d19938f56.jpg", "expected": "{\"serving_size\":\"1 1/4 Cup (58g)\",\"servings_per_container\":\"About 6\",\"calories\":\"180\",\"total_fat\":{\"amount\":\"2g\",\"daily_value\":\"3%\"},\"saturated_fat\":{\"amount\":\"0g\",\"daily_value\":\"0%\"},\"trans_fat\":{\"amount\":\"0g\",\"daily_value\":null},\"cholesterol\":{\"amount\":\"0mg\",\"daily_value\":\"0%\"},\"sodium\":{\"amount\":\"115mg\",\"daily_value\":\"5%\"},\"total_carbohydrate\":{\"amount\":\"40g\",\"daily_value\":\"13%\"},\"dietary_fiber\":{\"amount\":\"13g\",\"daily_value\":\"52%\"},\"total_sugars\":{\"amount\":\"8g\",\"daily_value\":null},\"protein\":{\"amount\":\"12g\",\"daily_value\":\"17%\"},\"vitamin_a\":{\"amount\":null,\"daily_value\":\"0%\"},\"vitamin_c\":{\"amount\":null,\"daily_value\":\"0%\"},\"calcium\":{\"amount\":null,\"daily_value\":\"4%\"},\"iron\":{\"amount\":null,\"daily_value\":\"10%\"},\"potassium\":{\"amount\":\"390mg\",\"daily_value\":\"11%\"}}", "predicted": "{\"serving_size\": \"1 1/4 Cup (58g)\", \"servings_per_container\": \"About 6\", \"calories\": \"180\", \"total_fat\": {\"amount\": \"2g\", \"daily_value\": \"3%\"}, \"saturated_fat\": {\"amount\": \"0g\", \"daily_value\": \"0%\"}, \"trans_fat\": {\"amount\": \"0g\", \"daily_value\": null}, \"cholesterol\": {\"amount\": \"0mg\", \"daily_value\": \"0%\"}, \"sodium\": {\"amount\": \"115mg\", \"daily_value\": \"5%\"}, \"total_carbohydrate\": {\"amount\": \"40g\", \"daily_value\": \"13%\"}, \"dietary_fiber\": {\"amount\": \"13g\", \"daily_value\": \"52%\"}, \"total_sugars\": {\"amount\": \"8g\", \"daily_value\": null}, \"protein\": {\"amount\": \"12g\", \"daily_value\": \"17%\"}, \"vitamin_a\": {\"amount\": null, \"daily_value\": \"0%\"}, \"vitamin_c\": {\"amount\": null, \"daily_value\": \"0%\"}, \"calcium\": {\"amount\": null, \"daily_value\": \"4%\"}, \"iron\": {\"amount\": null, \"daily_value\": \"10%\"}, \"potassium\": {\"amount\": \"390mg\", \"daily_value\": \"11%\"}}", "correct": true, "input_tokens": 1637, "output_tokens": 327, "elapsed_seconds": 5.08045162493363, "metadata": {"question": "{\"question\": \"Extract the information printed in the main Nutrition Facts panel in this image. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"serving_size\\\": null,\\n \\\"servings_per_container\\\": null,\\n \\\"calories\\\": null,\\n \\\"total_fat\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"saturated_fat\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"trans_fat\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"cholesterol\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"sodium\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"total_carbohydrate\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"dietary_fiber\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"total_sugars\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"protein\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"vitamin_a\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"vitamin_c\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"calcium\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"iron\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null},\\n \\\"potassium\\\": {\\\"amount\\\": null, \\\"daily_value\\\": null}\\n}\\n\\nUse per-serving values as packaged, not prepared or per-container values. Use Calories, not Calories from Fat. Map \u201cSugars\u201d to total_sugars.\\n\\nKeep nutrient amounts and daily-value percentages separate (e.g., \u201cCalcium 260 mg 20%\u201d \u2192 {\\\"amount\\\": \\\"260mg\\\", \\\"daily_value\\\": \\\"20%\\\"}). Preserve printed units and qualifiers; do not calculate or convert values.\\n\\nFormat serving_size as household measure followed by metric quantity in parentheses (e.g., \u201c2 pieces 30 g\u201d \u2192 \u201c2 pieces (30g)\u201d). If only one measure is printed, return it alone. Preserve additional serving-size details.\\n\\nRemove spaces between numbers and units or % signs. Preserve all other text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nInclude every key. Use strings for extracted values and null for missing or unreadable values, including individual amounts or percentages. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "6d48ccf2c9ce4b3e56c45f505ff98485898223fd8a00f229cda5017411d49a3e", "category": "structured", "subset": "3d0c26ee8395584a", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "90327eb802d6c77e576e6bdcff2afc688a5f05a6d7abc96b61c4b258071dae55", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed in the main Nutrition Facts panel in this image. Return only a valid JSON object with these fields:\n\n{\n \"serving_size\": null,\n \"servings_per_container\": null,\n \"calories\": null,\n \"total_fat\": {\"amount\": null, \"daily_value\": null},\n \"saturated_fat\": {\"amount\": null, \"daily_value\": null},\n \"trans_fat\": {\"amount\": null, \"daily_value\": null},\n \"cholesterol\": {\"amount\": null, \"daily_value\": null},\n \"sodium\": {\"amount\": null, \"daily_value\": null},\n \"total_carbohydrate\": {\"amount\": null, \"daily_value\": null},\n \"dietary_fiber\": {\"amount\": null, \"daily_value\": null},\n \"total_sugars\": {\"amount\": null, \"daily_value\": null},\n \"protein\": {\"amount\": null, \"daily_value\": null},\n \"vitamin_a\": {\"amount\": null, \"daily_value\": null},\n \"vitamin_c\": {\"amount\": null, \"daily_value\": null},\n \"calcium\": {\"amount\": null, \"daily_value\": null},\n \"iron\": {\"amount\": null, \"daily_value\": null},\n \"potassium\": {\"amount\": null, \"daily_value\": null}\n}\n\nUse per-serving values as packaged, not prepared or per-container values. Use Calories, not Calories from Fat. Map \u201cSugars\u201d to total_sugars.\n\nKeep nutrient amounts and daily-value percentages separate (e.g., \u201cCalcium 260 mg 20%\u201d \u2192 {\"amount\": \"260mg\", \"daily_value\": \"20%\"}). Preserve printed units and qualifiers; do not calculate or convert values.\n\nFormat serving_size as household measure followed by metric quantity in parentheses (e.g., \u201c2 pieces 30 g\u201d \u2192 \u201c2 pieces (30g)\u201d). If only one measure is printed, return it alone. Preserve additional serving-size details.\n\nRemove spaces between numbers and units or % signs. Preserve all other text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nInclude every key. Use strings for extracted values and null for missing or unreadable values, including individual amounts or percentages. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 31, "reference_fields": 31, "predicted_fields": 31, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 5.1092}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 515, "image": "image_dc70ca3886b0a13bd3a29a82_jpg.rf.a711d1f0783d81d33b72c03a60e802e7.jpg", "expected": "{\"route_number\":\"18\",\"bus_number\":\"2-3(21)\",\"destination_sign\":\"\u0e15\u0e25\u0e32\u0e14\u0e17\u0e48\u0e32\u0e2d\u0e34\u0e10 THAIT MARKET\",\"license_plate\":\"16-8069\"}", "predicted": "{\n \"route_number\": \"18\",\n \"bus_number\": \"2-3(21)\",\n \"destination_sign\": \"\u0e15\u0e25\u0e32\u0e14\u0e17\u0e48\u0e32\u0e2d\u0e34\u0e10 THAIT MARKET\",\n \"license_plate\": \"16-8069\"\n}", "correct": true, "input_tokens": 1209, "output_tokens": 65, "elapsed_seconds": 8.047952457913198, "metadata": {"question": "{\"question\": \"Extract the information printed on the main bus in this image. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"route_number\\\": null,\\n \\\"bus_number\\\": null,\\n \\\"destination_sign\\\": null,\\n \\\"license_plate\\\": null\\n}\\n\\nPreserve the text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "2dc9db55de53f8b4f1c4a51cac98dceec0bbf8a178513bf4ab74619c6da39d99", "category": "structured", "subset": "477b707cebbcd6df", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "17ff14851f031d9815944ede0f9906fb0cbb0c21c0c05857ceb4f991b754449a", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on the main bus in this image. Return only a valid JSON object with these fields:\n\n{\n \"route_number\": null,\n \"bus_number\": null,\n \"destination_sign\": null,\n \"license_plate\": null\n}\n\nPreserve the text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 4, "reference_fields": 4, "predicted_fields": 4, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 8.5997}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 516, "image": "image_b4b6c97db27c56e3f9366cf3_jpg.rf.85f5991550d5aaff403bef97e5319b08.jpg", "expected": "261", "predicted": "261", "correct": true, "input_tokens": 1152, "output_tokens": 7, "elapsed_seconds": 2.9895180420717224, "metadata": {"question": "{\"question\": \"Read the house number on the address plate in this image. Return only the number, including any letters, hyphens, or slashes. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "3f44c099f2e769bedadb903bccefb5b73e37bbc7ad1405a99cbc46553e76520d", "category": "single_string", "subset": "4788f963011764ba", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "f0a44ef1a766fbb903c925f88691442661c12c05e27676f443a92b79f7819f72", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the house number on the address plate in this image. Return only the number, including any letters, hyphens, or slashes. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 3.0295}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 517, "image": "image_bc0af28fd06debf70160f171_jpg.rf.71341ca059c10c0698ce15f35b260ed0.jpg", "expected": "{\"heat_number\":\"A78386\",\"billet_id\":\"2031\"}", "predicted": "{\n \"heat_number\": \"A78386\",\n \"billet_id\": \"2031\"\n}", "correct": true, "input_tokens": 1225, "output_tokens": 36, "elapsed_seconds": 2.9088953329483047, "metadata": {"question": "{\"question\": \"Extract the information printed on the end of this metal billet. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"heat_number\\\": null,\\n \\\"billet_id\\\": null\\n}\\n\\nUse the letter-prefixed code for heat_number and the separate shorter numeric code for billet_id. Preserve leading zeros and omit spaces within codes.\\n\\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "9af9e83321be337e21db544d744978f63dbdc1c330af953e3aca8326459fcc15", "category": "structured", "subset": "84ce444ef86dc04d", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "ddbc4b83f10bba605bdd678d9c11cb2604a6d94717c6a9c90cfd04a16f8d643b", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on the end of this metal billet. Return only a valid JSON object with these fields:\n\n{\n \"heat_number\": null,\n \"billet_id\": null\n}\n\nUse the letter-prefixed code for heat_number and the separate shorter numeric code for billet_id. Preserve leading zeros and omit spaces within codes.\n\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 2, "reference_fields": 2, "predicted_fields": 2, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 2.9182}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 518, "image": "image_7083f2c160fa672b32558f9f_jpg.rf.aacb9ca3c9ccf18836ef245fbd1e521e.jpg", "expected": "{\"departure_station\":\"HACHIOJI\",\"arrival_station\":\"SHINJUKU\",\"travel_date\":\"OCT.15\",\"departure_time\":\"09:49\",\"arrival_time\":\"10:26\",\"train\":\"KAIJI 10\",\"carriage\":\"4\",\"seat\":\"12-A\"}", "predicted": "{\n \"departure_station\": \"HACHIOJI\",\n \"arrival_station\": \"SHINJUKU\",\n \"travel_date\": \"OCT.15\",\n \"departure_time\": \"9:49\",\n \"arrival_time\": \"10:26\",\n \"train\": \"KAIJI 10\",\n \"carriage\": \"4\",\n \"seat\": \"12-A\"\n}", "correct": false, "input_tokens": 1357, "output_tokens": 105, "elapsed_seconds": 3.6586895000655204, "metadata": {"question": "{\"question\": \"Extract journey information from this railway ticket. Return only a valid JSON object with this structure:\\n\\n{\\n \\\"departure_station\\\": null,\\n \\\"arrival_station\\\": null,\\n \\\"travel_date\\\": null,\\n \\\"departure_time\\\": null,\\n \\\"arrival_time\\\": null,\\n \\\"train\\\": null,\\n \\\"carriage\\\": null,\\n \\\"seat\\\": null\\n}\\n\\nUse printed Latin-script station and train names where available. Copy the travel date, not the issue date; do not add an unprinted year. Write the abbreviated month and day without spaces (e.g., OCT.18), and use \u00b7 for a middle dot. Return times as HH:MM, without surrounding parentheses or field labels. Include the train name and number, separated by one space (e.g., HIKARI 635). Preserve seat separators (e.g., 3-A).\\n\\nPreserve text as printed or handwritten, joining line breaks within a field with spaces. Do not infer missing information or translate. Include every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "ce37d2cc967346dd472bb55e05ad40c9a6a98ccc5b0f5cc5b6fde11e18fbaac2", "category": "structured", "subset": "69f8a78c51c95b60", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "b72f7dc593972765ff9038840ccdb435b7850ddbb938a7c33a4dfa631a3b7648", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract journey information from this railway ticket. Return only a valid JSON object with this structure:\n\n{\n \"departure_station\": null,\n \"arrival_station\": null,\n \"travel_date\": null,\n \"departure_time\": null,\n \"arrival_time\": null,\n \"train\": null,\n \"carriage\": null,\n \"seat\": null\n}\n\nUse printed Latin-script station and train names where available. Copy the travel date, not the issue date; do not add an unprinted year. Write the abbreviated month and day without spaces (e.g., OCT.18), and use \u00b7 for a middle dot. Return times as HH:MM, without surrounding parentheses or field labels. Include the train name and number, separated by one space (e.g., HIKARI 635). Preserve seat separators (e.g., 3-A).\n\nPreserve text as printed or handwritten, joining line breaks within a field with spaces. Do not infer missing information or translate. Include every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 0.875, "status": "ok", "format_compliant": true, "matched_fields": 7, "reference_fields": 8, "predicted_fields": 8, "non_null_field_accuracy": 0.875, "object_exact_match": false, "attempts": 1, "retries": 0, "total_seconds": 3.6816}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 519, "image": "image_fc778f72e3169d090f8edcb7_jpg.rf.3f023fd43a355ed80d326abf00aa5c1d.jpg", "expected": "55", "predicted": "26", "correct": false, "input_tokens": 1146, "output_tokens": 6, "elapsed_seconds": 4.0666465000249445, "metadata": {"question": "{\"question\": \"Read the basketball jersey number visible in this image. Return only the number as a string of digits. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "59fb33a55e6a5d7eb24ad5b0c7a1478ab62969d617511b62db3923250aa25991", "category": "single_string", "subset": "c88e91da6c946745", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "874ba5764be63c51cb0b50f5c47cd9abd52d9f85b5d5e24305acd488406b4cb7", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the basketball jersey number visible in this image. Return only the number as a string of digits. Do not explain.", "match_method": "single_string", "score": 0.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 4.0714}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 520, "image": "image_840560da1c0daf9fb1904771_jpg.rf.6d225e11e160552b8e79d1d71e6d2d42.jpg", "expected": "01053765", "predicted": "01053765", "correct": true, "input_tokens": 1125, "output_tokens": 12, "elapsed_seconds": 10.381429667002521, "metadata": {"question": "{\"question\": \"Read the serial number printed on the e-pass tag. Return only the serial number, preserving letters and leading zeros. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "2d42edf8d1f36250b8de36d8b7a9073c95e8bc9c5aaa0c379f863799436db785", "category": "single_string", "subset": "d8762ffc9a8e6ed6", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "39814b5cd33c4cc35f802449ce50da4beb5e2c49adc51bec0c27c092ec6f7e6a", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the serial number printed on the e-pass tag. Return only the serial number, preserving letters and leading zeros. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 10.9395}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 521, "image": "image_8dcbfedf3ffd2f7e0a638f75_jpg.rf.8d87d5361d2c42f44b3594fa09901925.jpg", "expected": "97.1", "predicted": "97.1", "correct": true, "input_tokens": 1131, "output_tokens": 8, "elapsed_seconds": 6.547964375000447, "metadata": {"question": "{\"question\": \"Read the main temperature value shown on the thermometer display. Return only the numeric reading, preserving the decimal point and trailing zeros. Exclude units and icons. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "133b2a235a15b59ce8ddcc042f29719ad2a42a194fe686c28b5441f57813e0b0", "category": "single_string", "subset": "86f51b3c3dae6d11", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "4549310ea00b0f6f93b192836ba8d3e57dd7795f99cce74a091ae1c63f87175d", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the main temperature value shown on the thermometer display. Return only the numeric reading, preserving the decimal point and trailing zeros. Exclude units and icons. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 6.8682}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 522, "image": "image_8849fdffc4cbecd08d57a562_jpg.rf.5103dd9be456c3dae79affa51939ab6f.jpg", "expected": "{\"carrier\":\"FedEx\",\"tracking_number\":\"787476737919\",\"sender_name\":\"Shipping Department Target.com\",\"sender_address\":\"249 County Line Rd Amityville NY 11701 US\",\"recipient_name\":\"Ashley Graham\",\"recipient_address\":\"18500 Cove Creek Dr Moseley VA 23120 (US)\",\"shipping_service\":\"Home Delivery\",\"weight\":\"27.00 LB\"}", "predicted": "{\n \"carrier\": \"FedEx\",\n \"tracking_number\": \"787476737919\",\n \"sender_name\": \"Shipping Department Target.com\",\n \"sender_address\": \"249 County Line Rd Amityville NY 11701 US\",\n \"recipient_name\": \"Ashley Graham\",\n \"recipient_address\": \"18500 Cove Creek Dr Moseley VA 23120\",\n \"shipping_service\": \"Home Delivery\",\n \"weight\": \"27.00 LB\"\n}", "correct": false, "input_tokens": 1366, "output_tokens": 137, "elapsed_seconds": 3.429572334047407, "metadata": {"question": "{\"question\": \"Extract the information printed on this shipping label. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"carrier\\\": null,\\n \\\"tracking_number\\\": null,\\n \\\"sender_name\\\": null,\\n \\\"sender_address\\\": null,\\n \\\"recipient_name\\\": null,\\n \\\"recipient_address\\\": null,\\n \\\"shipping_service\\\": null,\\n \\\"weight\\\": null\\n}\\n\\nIgnore accompanying paperwork. Keep company and department lines in names, not addresses; exclude phone numbers. Return tracking_number without spaces (e.g., \u201c7885 0040 8757\u201d \u2192 \u201c788500408757\u201d). Omit the carrier from shipping_service (e.g., \u201cFedEx Home Delivery\u201d \u2192 \u201cHome Delivery\u201d). Retain weight units and printed country information in addresses.\\n\\nPreserve all other text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "54666f99b2274d9251520f15442c79c3b0ed891375092d66a63f234f20d1f4e7", "category": "structured", "subset": "ccd97de2b96725a9", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "0e86eea3880eed4221d763a10a042df3619c66c03a8cdae21881a3b3b3fb8ab6", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on this shipping label. Return only a valid JSON object with these fields:\n\n{\n \"carrier\": null,\n \"tracking_number\": null,\n \"sender_name\": null,\n \"sender_address\": null,\n \"recipient_name\": null,\n \"recipient_address\": null,\n \"shipping_service\": null,\n \"weight\": null\n}\n\nIgnore accompanying paperwork. Keep company and department lines in names, not addresses; exclude phone numbers. Return tracking_number without spaces (e.g., \u201c7885 0040 8757\u201d \u2192 \u201c788500408757\u201d). Omit the carrier from shipping_service (e.g., \u201cFedEx Home Delivery\u201d \u2192 \u201cHome Delivery\u201d). Retain weight units and printed country information in addresses.\n\nPreserve all other text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 0.875, "status": "ok", "format_compliant": true, "matched_fields": 7, "reference_fields": 8, "predicted_fields": 8, "non_null_field_accuracy": 0.875, "object_exact_match": false, "attempts": 1, "retries": 0, "total_seconds": 3.4566}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 523, "image": "image_bee1920312c914feccd4f64e_jpg.rf.cbc61b54078154c80f0db65c2eaa75ea.jpg", "expected": "[{\"bbox\":[77,25,269,76],\"text\":\"breaking dawn\"},{\"bbox\":[52,444,299,459],\"text\":\"STEPHENIE MEYER\"},{\"bbox\":[52,467,299,478],\"text\":\"AUTHOR OF THE #1 BESTSELLING TWILIGHT, NEW MOON, AND ECLIPSE\"}]", "predicted": "[{\"box_2d\": [50, 232, 152, 792], \"text\": \"breaking dawn\"}, {\"box_2d\": [892, 157, 915, 876], \"text\": \"STEPHENIE MEYER\"}, {\"box_2d\": [935, 155, 954, 878], \"text\": \"AUTHOR OF THE #1 BESTSELLING TWILIGHT, NEW MOON, AND ECLIPSE\"}]", "correct": true, "input_tokens": 1299, "output_tokens": 123, "elapsed_seconds": 3.5941800411092117, "metadata": {"question": "{\"question\": \"Locate and transcribe all visible text on this book cover, including title, author, publisher and promotional text.\", \"specification\": \"Use one box per text line. Return plain text, not LaTeX.\\n\\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Do not include explanations or Markdown.\", \"task\": \"localization_recognition\"}", "sample_id": "86dd7c8cc7c34370d7de13cd3780e17286f0ac400af9d08f764435c9a615b3c7", "category": "localization_recognition", "subset": "658c0e5b4d5e48ce", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "8f324c05754be31a92b9405f085a2f100a37321544b4c523b68c8ec877634380", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe all visible text on this book cover, including title, author, publisher and promotional text.\n\nUse one box per text line. Return plain text, not LaTeX.\n\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Do not include explanations or Markdown.\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 1.0, "status": "ok", "format_compliant": true, "detection_f1": 1.0, "matched_regions": 3, "reference_regions": 3, "predicted_regions": 3, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 3.6031}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 524, "image": "image_da2caa60803f1fed27c57da5_jpg.rf.2a2cd5ac9378158a088bfc4b477037a6.jpg", "expected": "[{\"bbox\":[312,648,401,719],\"text\":\"T\"},{\"bbox\":[452,665,540,749],\"text\":\"O\"},{\"bbox\":[590,668,681,747],\"text\":\"Y\"},{\"bbox\":[839,707,927,780],\"text\":\"F\"},{\"bbox\":[285,794,378,869],\"text\":\"E\"},{\"bbox\":[693,828,789,910],\"text\":\"B\"},{\"bbox\":[843,853,941,932],\"text\":\"E\"},{\"bbox\":[982,882,1082,967],\"text\":\"N\"},{\"bbox\":[1128,898,1223,970],\"text\":\"T\"},{\"bbox\":[256,926,347,1007],\"text\":\"V\"},{\"bbox\":[1421,948,1523,1037],\"text\":\"H\"},{\"bbox\":[397,969,489,1052],\"text\":\"A\"},{\"bbox\":[531,976,628,1060],\"text\":\"N\"},{\"bbox\":[807,1019,896,1049],\"text\":\"I\"},{\"bbox\":[1099,1048,1198,1128],\"text\":\"E\"},{\"bbox\":[1392,1094,1491,1178],\"text\":\"U\"},{\"bbox\":[489,1124,579,1200],\"text\":\"U\"},{\"bbox\":[782,1141,877,1221],\"text\":\"H\"},{\"bbox\":[1066,1200,1153,1263],\"text\":\"J\"},{\"bbox\":[1207,1221,1304,1307],\"text\":\"A\"},{\"bbox\":[1350,1247,1447,1334],\"text\":\"D\"},{\"bbox\":[1514,1250,1614,1331],\"text\":\"E\"},{\"bbox\":[477,1275,563,1345],\"text\":\"F\"},{\"bbox\":[622,1285,714,1369],\"text\":\"A\"},{\"bbox\":[769,1290,862,1362],\"text\":\"T\"},{\"bbox\":[1476,1401,1569,1482],\"text\":\"D\"},{\"bbox\":[1315,1521,1419,1622],\"text\":\"M\"},{\"bbox\":[1470,1552,1567,1638],\"text\":\"A\"},{\"bbox\":[1614,1573,1715,1657],\"text\":\"N\"},{\"bbox\":[1763,1587,1860,1670],\"text\":\"Y\"},{\"bbox\":[1436,1713,1533,1773],\"text\":\"L\"},{\"bbox\":[1424,1842,1517,1928],\"text\":\"G\"},{\"bbox\":[1869,1858,1969,1974],\"text\":\"W\"},{\"bbox\":[1724,1868,1818,1954],\"text\":\"O\"},{\"bbox\":[1574,1869,1670,1929],\"text\":\"L\"},{\"bbox\":[1850,2033,1947,2107],\"text\":\"E\"},{\"bbox\":[1842,2183,1940,2265],\"text\":\"R\"},{\"bbox\":[1812,2326,1908,2414],\"text\":\"G\"},{\"bbox\":[1961,2354,2063,2437],\"text\":\"R\"},{\"bbox\":[2137,2375,2239,2463],\"text\":\"A\"},{\"bbox\":[2308,2394,2409,2475],\"text\":\"Z\"},{\"bbox\":[2472,2400,2574,2478],\"text\":\"E\"},{\"bbox\":[2465,2553,2567,2634],\"text\":\"S\"},{\"bbox\":[2288,2696,2384,2776],\"text\":\"P\"},{\"bbox\":[2451,2732,2549,2762],\"text\":\"I\"},{\"bbox\":[2422,2865,2527,2950],\"text\":\"R\"},{\"bbox\":[2581,2890,2683,2973],\"text\":\"U\"},{\"bbox\":[2743,2915,2845,3006],\"text\":\"G\"},{\"bbox\":[2712,3065,2813,3156],\"text\":\"O\"},{\"bbox\":[2683,3226,2781,3311],\"text\":\"F\"}]", "predicted": "[{\"box_2d\": [159, 102, 180, 134], \"text\": \"T\"}, {\"box_2d\": [163, 148, 185, 180], \"text\": \"O\"}, {\"box_2d\": [166, 194, 186, 226], \"text\": \"Y\"}, {\"box_2d\": [174, 280, 194, 311], \"text\": \"F\"}, {\"box_2d\": [196, 94, 217, 127], \"text\": \"E\"}, {\"box_2d\": [203, 229, 224, 261], \"text\": \"B\"}, {\"box_2d\": [210, 278, 232, 312], \"text\": \"E\"}, {\"box_2d\": [219, 326, 240, 359], \"text\": \"N\"}, {\"box_2d\": [224, 373, 245, 405], \"text\": \"T\"}, {\"box_2d\": [230, 84, 249, 117], \"text\": \"V\"}, {\"box_2d\": [240, 129, 259, 162], \"text\": \"A\"}, {\"box_2d\": [234, 469, 256, 502], \"text\": \"H\"}, {\"box_2d\": [242, 177, 262, 211], \"text\": \"N\"}, {\"box_2d\": [254, 270, 260, 297], \"text\": \"I\"}, {\"box_2d\": [259, 363, 280, 396], \"text\": \"E\"}, {\"box_2d\": [278, 164, 299, 193], \"text\": \"U\"}, {\"box_2d\": [283, 259, 304, 292], \"text\": \"H\"}, {\"box_2d\": [271, 459, 292, 491], \"text\": \"U\"}, {\"box_2d\": [298, 353, 313, 381], \"text\": \"J\"}, {\"box_2d\": [304, 400, 323, 433], \"text\": \"A\"}, {\"box_2d\": [317, 159, 335, 190], \"text\": \"F\"}, {\"box_2d\": [319, 206, 338, 240], \"text\": \"A\"}, {\"box_2d\": [310, 449, 330, 480], \"text\": \"D\"}, {\"box_2d\": [310, 499, 331, 533], \"text\": \"E\"}, {\"box_2d\": [321, 255, 341, 287], \"text\": \"T\"}, {\"box_2d\": [349, 490, 369, 521], \"text\": \"D\"}, {\"box_2d\": [377, 434, 403, 468], \"text\": \"M\"}, {\"box_2d\": [387, 484, 406, 517], \"text\": \"A\"}, {\"box_2d\": [389, 532, 411, 567], \"text\": \"N\"}, {\"box_2d\": [395, 583, 415, 616], \"text\": \"Y\"}, {\"box_2d\": [423, 476, 441, 506], \"text\": \"L\"}, {\"box_2d\": [456, 471, 479, 502], \"text\": \"G\"}, {\"box_2d\": [460, 518, 479, 549], \"text\": \"L\"}, {\"box_2d\": [462, 568, 484, 601], \"text\": \"O\"}, {\"box_2d\": [461, 617, 490, 653], \"text\": \"W\"}, {\"box_2d\": [504, 612, 525, 646], \"text\": \"E\"}, {\"box_2d\": [540, 608, 562, 641], \"text\": \"R\"}, {\"box_2d\": [577, 600, 600, 631], \"text\": \"G\"}, {\"box_2d\": [584, 649, 606, 682], \"text\": \"R\"}, {\"box_2d\": [591, 706, 611, 740], \"text\": \"A\"}, {\"box_2d\": [595, 761, 616, 797], \"text\": \"Z\"}, {\"box_2d\": [595, 816, 616, 851], \"text\": \"E\"}, {\"box_2d\": [633, 813, 654, 847], \"text\": \"S\"}, {\"box_2d\": [669, 756, 689, 788], \"text\": \"P\"}, {\"box_2d\": [676, 809, 683, 840], \"text\": \"I\"}, {\"box_2d\": [711, 801, 732, 835], \"text\": \"R\"}, {\"box_2d\": [717, 854, 738, 886], \"text\": \"U\"}, {\"box_2d\": [721, 907, 744, 940], \"text\": \"G\"}, {\"box_2d\": [761, 895, 784, 928], \"text\": \"O\"}, {\"box_2d\": [800, 886, 820, 920], \"text\": \"F\"}]", "correct": true, "input_tokens": 1301, "output_tokens": 1602, "elapsed_seconds": 20.870619041030295, "metadata": {"question": "{\"question\": \"Locate and transcribe the large letter on every visible letter tile.\", \"specification\": \"Use one tight box around each letter, not the tile boundary; keep adjacent tiles separate. Include rotated letters; exclude point values, blank tiles and background text. Return plain text, not LaTeX.\\n\\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\", \"task\": \"localization_recognition\"}", "sample_id": "a8c3a555c48b1fe7b87dc72084d72472d953b033756a5187e853fd26ca3ea85b", "category": "localization_recognition", "subset": "c7e0eb346c8e2ba1", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "26df4b81b64135c7529a5a1cffc157d4bd879c27ca331c88c7666aff818ad48c", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe the large letter on every visible letter tile.\n\nUse one tight box around each letter, not the tile boundary; keep adjacent tiles separate. Include rotated letters; exclude point values, blank tiles and background text. Return plain text, not LaTeX.\n\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 1.0, "status": "ok", "format_compliant": true, "detection_f1": 1.0, "matched_regions": 50, "reference_regions": 50, "predicted_regions": 50, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 21.4236}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 525, "image": "image_da2caa60803f1fed27c57da5_jpg.rf.2a2cd5ac9378158a088bfc4b477037a6.jpg", "expected": "BENT\nDUH\nFAT\nFOG\nFUN\nGLADE\nGLOW\nGRAZE\nGREW\nJADE\nJET\nMANY\nPI\nRISE\nRUG\nTHIEF\nTOY\nVAN\nVET", "predicted": "BENT\nDUH\nFAT\nFOG\nFUN\nGLADE\nGLOW\nGRAZE\nGREW\nJADE\nJET\nMANY\nPRIZE\nRISE\nRUG\nTHIEF\nTOY\nVAN\nVET", "correct": false, "input_tokens": 1172, "output_tokens": 52, "elapsed_seconds": 10.969967916957103, "metadata": {"question": "{\"question\": \"Read all words formed by the letter tiles, including rotated words. Include only words valid in the Merriam-Webster Official Scrabble Players Dictionary. Return them in uppercase, one word per line, in alphabetical order. Preserve spelling and repeated words; do not correct or rearrange letters to make valid words. Ignore isolated letters and background text. Return only the words, without explanations or Markdown.\", \"task\": \"transcription\"}", "sample_id": "774445bcb26de145f36fa9bbdb3b5721d6070f80ad7b73c2ac1f7ab8cfe4a0ca", "category": "transcription", "subset": "1b7d212231bfff95", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "26df4b81b64135c7529a5a1cffc157d4bd879c27ca331c88c7666aff818ad48c", "text_protocol": "mixed-text-v2", "scoring_profile": "transcription", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read all words formed by the letter tiles, including rotated words. Include only words valid in the Merriam-Webster Official Scrabble Players Dictionary. Return them in uppercase, one word per line, in alphabetical order. Preserve spelling and repeated words; do not correct or rearrange letters to make valid words. Ignore isolated letters and background text. Return only the words, without explanations or Markdown.", "match_method": "transcription", "score": 0.9663, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 11.5279}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 526, "image": "image_60d860f5bbd0696343c3457e_jpg.rf.63fd81b9d496c3bb24f1ff9c6382eabe.jpg", "expected": "[{\"bbox\":[1128,149,1243,260],\"text\":\"O\"},{\"bbox\":[1719,273,1846,372],\"text\":\"E\"},{\"bbox\":[1520,286,1643,401],\"text\":\"R\"},{\"bbox\":[1325,314,1445,413],\"text\":\"U\"},{\"bbox\":[1124,348,1243,445],\"text\":\"S\"},{\"bbox\":[1702,485,1828,575],\"text\":\"L\"},{\"bbox\":[1705,693,1829,779],\"text\":\"F\"},{\"bbox\":[785,726,894,835],\"text\":\"A\"},{\"bbox\":[963,744,1074,848],\"text\":\"D\"},{\"bbox\":[615,767,719,862],\"text\":\"B\"},{\"bbox\":[1338,905,1457,1022],\"text\":\"X\"},{\"bbox\":[1712,918,1838,950],\"text\":\"I\"},{\"bbox\":[950,937,1065,1048],\"text\":\"A\"},{\"bbox\":[1726,1078,1851,1198],\"text\":\"R\"},{\"bbox\":[1525,1099,1648,1197],\"text\":\"E\"},{\"bbox\":[1140,1113,1255,1209],\"text\":\"T\"},{\"bbox\":[1328,1115,1448,1211],\"text\":\"E\"},{\"bbox\":[950,1136,1067,1234],\"text\":\"S\"},{\"bbox\":[1140,1309,1257,1408],\"text\":\"U\"},{\"bbox\":[1715,1477,1839,1584],\"text\":\"D\"},{\"bbox\":[1320,1512,1437,1605],\"text\":\"E\"},{\"bbox\":[1513,1512,1634,1607],\"text\":\"E\"},{\"bbox\":[1130,1516,1243,1609],\"text\":\"P\"},{\"bbox\":[1502,1710,1625,1815],\"text\":\"N\"},{\"bbox\":[1299,1848,1427,1965],\"text\":\"Q\"},{\"bbox\":[1499,1953,1621,1980],\"text\":\"I\"},{\"bbox\":[1474,2110,1597,2225],\"text\":\"V\"},{\"bbox\":[2097,2118,2232,2235],\"text\":\"Y\"},{\"bbox\":[1882,2123,2013,2236],\"text\":\"R\"},{\"bbox\":[1673,2126,1802,2246],\"text\":\"A\"},{\"bbox\":[2102,2355,2236,2472],\"text\":\"R\"},{\"bbox\":[2568,2364,2716,2476],\"text\":\"S\"},{\"bbox\":[1484,2554,1611,2657],\"text\":\"S\"},{\"bbox\":[2125,2571,2262,2697],\"text\":\"A\"},{\"bbox\":[2583,2581,2730,2709],\"text\":\"G\"},{\"bbox\":[1502,2762,1625,2864],\"text\":\"T\"},{\"bbox\":[1711,2777,1839,2893],\"text\":\"R\"},{\"bbox\":[1921,2801,2054,2903],\"text\":\"E\"},{\"bbox\":[2141,2801,2277,2905],\"text\":\"E\"},{\"bbox\":[2583,2813,2727,2921],\"text\":\"U\"},{\"bbox\":[1093,2963,1210,3063],\"text\":\"E\"},{\"bbox\":[1489,2977,1612,3077],\"text\":\"E\"},{\"bbox\":[2133,2983,2271,3151],\"text\":\"W\"},{\"bbox\":[2359,3036,2497,3142],\"text\":\"E\"},{\"bbox\":[2594,3042,2741,3149],\"text\":\"B\"},{\"bbox\":[1479,3177,1604,3296],\"text\":\"V\"},{\"bbox\":[1090,3181,1206,3263],\"text\":\"L\"},{\"bbox\":[1684,3205,1813,3306],\"text\":\"E\"},{\"bbox\":[1281,3212,1401,3243],\"text\":\"I\"},{\"bbox\":[888,3355,1001,3461],\"text\":\"H\"},{\"bbox\":[1082,3403,1200,3440],\"text\":\"I\"},{\"bbox\":[1092,3579,1207,3691],\"text\":\"R\"}]", "predicted": "[{\"box_2d\": [39, 369, 64, 412], \"text\": \"O\"},\n{\"box_2d\": [68, 569, 91, 610], \"text\": \"E\"},\n{\"box_2d\": [73, 502, 98, 543], \"text\": \"R\"},\n{\"box_2d\": [79, 439, 102, 479], \"text\": \"U\"},\n{\"box_2d\": [88, 372, 111, 412], \"text\": \"S\"},\n{\"box_2d\": [117, 565, 140, 608], \"text\": \"L\"},\n{\"box_2d\": [168, 564, 191, 606], \"text\": \"F\"},\n{\"box_2d\": [182, 260, 206, 297], \"text\": \"A\"},\n{\"box_2d\": [184, 319, 207, 357], \"text\": \"D\"},\n{\"box_2d\": [191, 203, 213, 239], \"text\": \"B\"},\n{\"box_2d\": [224, 568, 232, 609], \"text\": \"I\"},\n{\"box_2d\": [226, 442, 250, 483], \"text\": \"X\"},\n{\"box_2d\": [232, 316, 256, 355], \"text\": \"A\"},\n{\"box_2d\": [271, 571, 296, 613], \"text\": \"R\"},\n{\"box_2d\": [272, 505, 296, 544], \"text\": \"E\"},\n{\"box_2d\": [275, 440, 299, 479], \"text\": \"E\"},\n{\"box_2d\": [275, 379, 299, 417], \"text\": \"T\"},\n{\"box_2d\": [282, 314, 305, 353], \"text\": \"S\"},\n{\"box_2d\": [324, 378, 348, 417], \"text\": \"U\"},\n{\"box_2d\": [367, 569, 392, 609], \"text\": \"D\"},\n{\"box_2d\": [373, 499, 398, 540], \"text\": \"N\"},\n{\"box_2d\": [374, 437, 397, 476], \"text\": \"E\"},\n{\"box_2d\": [376, 374, 398, 412], \"text\": \"P\"},\n{\"box_2d\": [425, 498, 450, 538], \"text\": \"I\"},\n{\"box_2d\": [459, 429, 487, 471], \"text\": \"Q\"},\n{\"box_2d\": [482, 499, 489, 538], \"text\": \"I\"},\n{\"box_2d\": [525, 488, 551, 529], \"text\": \"V\"},\n{\"box_2d\": [526, 554, 554, 595], \"text\": \"A\"},\n{\"box_2d\": [527, 623, 554, 665], \"text\": \"R\"},\n{\"box_2d\": [528, 694, 553, 738], \"text\": \"Y\"},\n{\"box_2d\": [581, 691, 608, 738], \"text\": \"R\"},\n{\"box_2d\": [587, 849, 613, 898], \"text\": \"S\"},\n{\"box_2d\": [633, 490, 658, 532], \"text\": \"S\"},\n{\"box_2d\": [639, 696, 668, 743], \"text\": \"A\"},\n{\"box_2d\": [641, 853, 670, 902], \"text\": \"G\"},\n{\"box_2d\": [686, 496, 710, 538], \"text\": \"T\"},\n{\"box_2d\": [690, 567, 715, 609], \"text\": \"R\"},\n{\"box_2d\": [694, 636, 719, 679], \"text\": \"E\"},\n{\"box_2d\": [694, 709, 720, 753], \"text\": \"E\"},\n{\"box_2d\": [698, 854, 723, 902], \"text\": \"U\"},\n{\"box_2d\": [735, 362, 758, 400], \"text\": \"E\"},\n{\"box_2d\": [739, 491, 764, 533], \"text\": \"E\"},\n{\"box_2d\": [742, 706, 779, 753], \"text\": \"W\"},\n{\"box_2d\": [752, 780, 779, 827], \"text\": \"E\"},\n{\"box_2d\": [755, 857, 781, 906], \"text\": \"B\"},\n{\"box_2d\": [785, 358, 809, 399], \"text\": \"L\"},\n{\"box_2d\": [791, 490, 816, 532], \"text\": \"V\"},\n{\"box_2d\": [795, 558, 819, 600], \"text\": \"E\"},\n{\"box_2d\": [796, 424, 802, 464], \"text\": \"I\"},\n{\"box_2d\": [832, 294, 857, 333], \"text\": \"H\"},\n{\"box_2d\": [845, 359, 852, 399], \"text\": \"I\"},\n{\"box_2d\": [888, 361, 913, 400], \"text\": \"R\"}]", "correct": false, "input_tokens": 1301, "output_tokens": 1711, "elapsed_seconds": 22.358338250080124, "metadata": {"question": "{\"question\": \"Locate and transcribe the large letter on every visible letter tile.\", \"specification\": \"Use one tight box around each letter, not the tile boundary; keep adjacent tiles separate. Include rotated letters; exclude point values, blank tiles and background text. Return plain text, not LaTeX.\\n\\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\", \"task\": \"localization_recognition\"}", "sample_id": "3380ad716fc9b9a62c4387e1b87c627e7034b44c857ff750390d0dc66bf786b6", "category": "localization_recognition", "subset": "c7e0eb346c8e2ba1", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "721d7b6a6dacc3c6a4eab31c66e4501cc8413b4ee727c70de48b11bc0b540047", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe the large letter on every visible letter tile.\n\nUse one tight box around each letter, not the tile boundary; keep adjacent tiles separate. Include rotated letters; exclude point values, blank tiles and background text. Return plain text, not LaTeX.\n\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 0.9231, "status": "ok", "format_compliant": true, "detection_f1": 0.9615384615384616, "matched_regions": 48, "reference_regions": 52, "predicted_regions": 52, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 22.9031}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 527, "image": "image_60d860f5bbd0696343c3457e_jpg.rf.63fd81b9d496c3bb24f1ff9c6382eabe.jpg", "expected": "BAD\nBUGS\nEX\nHI\nLIVE\nPEED\nPUT\nQI\nRIFLE\nRILE\nSAD\nSO\nSTEER\nSURE\nTREE\nVARY\nVETS\nVINE\nWEARY\nWEB", "predicted": "BAD\nBUGS\nEX\nHI\nLIVE\nPEND\nPUT\nQI\nRIFLE\nRILE\nSAD\nSO\nSTEEPVE\nSURE\nTREW\nVARY\nVETS\nVINE\nWEARY\nWEB", "correct": false, "input_tokens": 1172, "output_tokens": 55, "elapsed_seconds": 10.204230166971684, "metadata": {"question": "{\"question\": \"Read all words formed by the letter tiles, including rotated words. Include only words valid in the Merriam-Webster Official Scrabble Players Dictionary. Return them in uppercase, one word per line, in alphabetical order. Preserve spelling and repeated words; do not correct or rearrange letters to make valid words. Ignore isolated letters and background text. Return only the words, without explanations or Markdown.\", \"task\": \"transcription\"}", "sample_id": "6688b168c02cece2263d5602407055dd2dd95a682f7b84415e4f9ef3b51f30f6", "category": "transcription", "subset": "1b7d212231bfff95", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "721d7b6a6dacc3c6a4eab31c66e4501cc8413b4ee727c70de48b11bc0b540047", "text_protocol": "mixed-text-v2", "scoring_profile": "transcription", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read all words formed by the letter tiles, including rotated words. Include only words valid in the Merriam-Webster Official Scrabble Players Dictionary. Return them in uppercase, one word per line, in alphabetical order. Preserve spelling and repeated words; do not correct or rearrange letters to make valid words. Ignore isolated letters and background text. Return only the words, without explanations or Markdown.", "match_method": "transcription", "score": 0.9457, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 10.7427}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 528, "image": "image_92ce55d4a54b5a8148bc564d_jpg.rf.447ecddf003f8cce302a40c9ad8bbb2a.jpg", "expected": "{\"issuing_authority\":\"TUZLA BELED\u0130YES\u0130\",\"approval_date\":\"12/02/2025\",\"document_number\":\"32/25\",\"permit_purpose\":\"Yap\u0131 Kullanma \u0130zni\",\"map_sheet_number\":null,\"block_number\":\"0\",\"parcel_number\":\"8226\",\"building_block_number\":\"B\",\"building_class\":\"III\",\"building_group\":\"B\",\"floors_below_road\":\"2\",\"floors_above_road\":\"4\",\"total_floors\":\"6\",\"building_construction_area\":\"5007,68\",\"all_buildings_construction_area\":\"71602,12\"}", "predicted": "{\n \"issuing_authority\": \"TUZLA BELED\u0130YES\u0130\",\n \"approval_date\": \"12/02/2025\",\n \"document_number\": \"32/25\",\n \"permit_purpose\": \"Yap\u0131 Kullanma \u0130zni\",\n \"map_sheet_number\": null,\n \"block_number\": \"0\",\n \"parcel_number\": \"8226\",\n \"building_block_number\": \"B\",\n \"building_class\": \"III\",\n \"building_group\": \"B\",\n \"floors_below_road\": \"2\",\n \"floors_above_road\": \"4\",\n \"total_floors\": \"6\",\n \"building_construction_area\": \"5007,68\",\n \"all_buildings_construction_area\": \"71602,12\"\n}", "correct": true, "input_tokens": 1477, "output_tokens": 212, "elapsed_seconds": 4.560160916065797, "metadata": {"question": "{\"question\": \"Extract these identification and building fields from the building-use permit. Return only a valid JSON object with this structure:\\n\\n{\\n \\\"issuing_authority\\\": null,\\n \\\"approval_date\\\": null,\\n \\\"document_number\\\": null,\\n \\\"permit_purpose\\\": null,\\n \\\"map_sheet_number\\\": null,\\n \\\"block_number\\\": null,\\n \\\"parcel_number\\\": null,\\n \\\"building_block_number\\\": null,\\n \\\"building_class\\\": null,\\n \\\"building_group\\\": null,\\n \\\"floors_below_road\\\": null,\\n \\\"floors_above_road\\\": null,\\n \\\"total_floors\\\": null,\\n \\\"building_construction_area\\\": null,\\n \\\"all_buildings_construction_area\\\": null\\n}\\n\\nUse approval date and document number from Belgenin onay tarihi and Belge no, not earlier construction licences. permit_purpose is the selected option under Belgenin verili\u015f amac\u0131. Map cadastral identifiers from Pafta No, Ada No, Parsel No and Blok No. Keep Yap\u0131 in\u015faat alan\u0131 separate from Toplam yap\u0131 in\u015faat alan\u0131; do not substitute the permitted-part area. Omit printed area units; preserve numeric separators and dates.\\n\\nFor handwritten entries completed on preprinted date templates, include the printed year prefix. Treat standalone asterisks, dashes and dotted placeholders as null; retain punctuation within actual document numbers.\\n\\nPreserve the text as written; join line breaks within a field with spaces. Do not infer missing information or translate. Use strings for extracted values and null for missing or unreadable fields. Include every key. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "4f3845db7ec37b9d512d6036b7c03cc31ea1e195b4d181ce5c5e7b534b2a3575", "category": "structured", "subset": "1ced26f23029a4b6", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "cd5afadf59e8a092cbbc33fa3de01c03a36042ddc640424427a2d24b7074e41e", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract these identification and building fields from the building-use permit. Return only a valid JSON object with this structure:\n\n{\n \"issuing_authority\": null,\n \"approval_date\": null,\n \"document_number\": null,\n \"permit_purpose\": null,\n \"map_sheet_number\": null,\n \"block_number\": null,\n \"parcel_number\": null,\n \"building_block_number\": null,\n \"building_class\": null,\n \"building_group\": null,\n \"floors_below_road\": null,\n \"floors_above_road\": null,\n \"total_floors\": null,\n \"building_construction_area\": null,\n \"all_buildings_construction_area\": null\n}\n\nUse approval date and document number from Belgenin onay tarihi and Belge no, not earlier construction licences. permit_purpose is the selected option under Belgenin verili\u015f amac\u0131. Map cadastral identifiers from Pafta No, Ada No, Parsel No and Blok No. Keep Yap\u0131 in\u015faat alan\u0131 separate from Toplam yap\u0131 in\u015faat alan\u0131; do not substitute the permitted-part area. Omit printed area units; preserve numeric separators and dates.\n\nFor handwritten entries completed on preprinted date templates, include the printed year prefix. Treat standalone asterisks, dashes and dotted placeholders as null; retain punctuation within actual document numbers.\n\nPreserve the text as written; join line breaks within a field with spaces. Do not infer missing information or translate. Use strings for extracted values and null for missing or unreadable fields. Include every key. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 15, "reference_fields": 15, "predicted_fields": 15, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 4.6059}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 529, "image": "image_a633a69aee97144cb36e5555_jpg.rf.3aaa5411311b54b532a6ddc33f7b65ae.jpg", "expected": "A015969", "predicted": "401598933B", "correct": false, "input_tokens": 1144, "output_tokens": 14, "elapsed_seconds": 4.599601666093804, "metadata": {"question": "{\"question\": \"Read the identification code on the utility pole tag. Return only the code, joining vertically stacked characters without spaces and preserving leading zeros and hyphens. Exclude labels such as POLE NO., timestamps and GPS/address overlays. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "4eb809d9541f0d2ece1aebe75a8321679bc818a4828dbae68afe2ec55a4fff3f", "category": "single_string", "subset": "cd97317d8ff518ba", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "3d6fc6649b0204180efc81a37a9ef8c3d23c61611158c812073b7f6828c3f3eb", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the identification code on the utility pole tag. Return only the code, joining vertically stacked characters without spaces and preserving leading zeros and hyphens. Exclude labels such as POLE NO., timestamps and GPS/address overlays. Do not explain.", "match_method": "single_string", "score": 0.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 4.8344}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 530, "image": "image_b09475eb05648c950bd742e7_jpg.rf.3d2b60d019fcce0e372ac96c68cc5020.jpg", "expected": "[{\"bbox\":[52,5,78,23],\"text\":\"79\"},{\"bbox\":[495,13,511,34],\"text\":\"1\"},{\"bbox\":[49,96,76,114],\"text\":\"80\"},{\"bbox\":[489,115,504,135],\"text\":\"2\"},{\"bbox\":[153,117,189,134],\"text\":\"CNA\"},{\"bbox\":[239,119,362,144],\"text\":\"ACM-109\"},{\"bbox\":[72,165,87,199],\"text\":\"R10\"},{\"bbox\":[400,166,426,184],\"text\":\"R3\"},{\"bbox\":[483,168,510,185],\"text\":\"R2\"},{\"bbox\":[261,177,279,211],\"text\":\"C18\"},{\"bbox\":[399,184,427,201],\"text\":\"R4\"},{\"bbox\":[483,184,503,200],\"text\":\"R1\"},{\"bbox\":[309,204,329,241],\"text\":\"EM5\"},{\"bbox\":[92,212,131,230],\"text\":\"R29\"},{\"bbox\":[458,220,483,237],\"text\":\"C5\"},{\"bbox\":[23,239,39,274],\"text\":\"R12\"},{\"bbox\":[72,245,89,275],\"text\":\"R11\"},{\"bbox\":[112,287,129,324],\"text\":\"R27\"},{\"bbox\":[146,287,162,324],\"text\":\"R28\"},{\"bbox\":[493,293,530,311],\"text\":\"C20\"},{\"bbox\":[29,296,65,316],\"text\":\"RM1\"},{\"bbox\":[290,298,316,315],\"text\":\"C7\"},{\"bbox\":[214,308,240,324],\"text\":\"C9\"},{\"bbox\":[32,328,53,341],\"text\":\"152\"},{\"bbox\":[220,357,246,372],\"text\":\"C8\"},{\"bbox\":[110,362,129,398],\"text\":\"EM2\"},{\"bbox\":[232,374,252,410],\"text\":\"C10\"},{\"bbox\":[309,390,327,416],\"text\":\"C6\"},{\"bbox\":[422,394,439,431],\"text\":\"C25\"},{\"bbox\":[163,400,200,418],\"text\":\"C15\"},{\"bbox\":[288,406,305,438],\"text\":\"C11\"},{\"bbox\":[329,566,369,583],\"text\":\"CNB\"},{\"bbox\":[77,567,105,584],\"text\":\"79\"},{\"bbox\":[485,575,495,593],\"text\":\"1\"},{\"bbox\":[499,638,556,663],\"text\":\"1349\"},{\"bbox\":[494,667,509,687],\"text\":\"2\"},{\"bbox\":[48,679,75,696],\"text\":\"80\"}]", "predicted": "[{\"box_2d\": [11, 93, 35, 136], \"text\": \"79\"}, {\"box_2d\": [23, 885, 48, 907], \"text\": \"1\"}, {\"box_2d\": [138, 90, 162, 135], \"text\": \"80\"}, {\"box_2d\": [166, 272, 190, 340], \"text\": \"CNA\"}, {\"box_2d\": [167, 875, 190, 898], \"text\": \"2\"}, {\"box_2d\": [174, 439, 206, 646], \"text\": \"ACM-109\"}, {\"box_2d\": [234, 129, 286, 159], \"text\": \"R10\"}, {\"box_2d\": [240, 716, 263, 761], \"text\": \"R3\"}, {\"box_2d\": [243, 862, 266, 907], \"text\": \"R2\"}, {\"box_2d\": [254, 471, 305, 502], \"text\": \"C18\"}, {\"box_2d\": [265, 716, 288, 761], \"text\": \"R4\"}, {\"box_2d\": [265, 862, 288, 904], \"text\": \"R1\"}, {\"box_2d\": [291, 553, 343, 584], \"text\": \"EM5\"}, {\"box_2d\": [306, 168, 329, 232], \"text\": \"R29\"}, {\"box_2d\": [314, 818, 338, 862], \"text\": \"C5\"}, {\"box_2d\": [341, 41, 393, 73], \"text\": \"R12\"}, {\"box_2d\": [346, 129, 394, 159], \"text\": \"R11\"}, {\"box_2d\": [410, 202, 463, 234], \"text\": \"R27\"}, {\"box_2d\": [411, 261, 463, 293], \"text\": \"R28\"}, {\"box_2d\": [420, 882, 444, 945], \"text\": \"C20\"}, {\"box_2d\": [426, 56, 449, 118], \"text\": \"RM1\"}, {\"box_2d\": [428, 521, 451, 566], \"text\": \"C7\"}, {\"box_2d\": [441, 385, 464, 430], \"text\": \"C9\"}, {\"box_2d\": [471, 61, 486, 95], \"text\": \"152\"}, {\"box_2d\": [509, 395, 533, 439], \"text\": \"C8\"}, {\"box_2d\": [517, 201, 569, 231], \"text\": \"EM2\"}, {\"box_2d\": [535, 418, 586, 449], \"text\": \"C10\"}, {\"box_2d\": [558, 553, 594, 584], \"text\": \"C6\"}, {\"box_2d\": [563, 753, 615, 785], \"text\": \"C25\"}, {\"box_2d\": [573, 295, 596, 360], \"text\": \"C15\"}, {\"box_2d\": [580, 514, 626, 545], \"text\": \"C11\"}, {\"box_2d\": [810, 141, 834, 187], \"text\": \"79\"}, {\"box_2d\": [810, 589, 833, 656], \"text\": \"CNB\"}, {\"box_2d\": [821, 868, 845, 888], \"text\": \"1\"}, {\"box_2d\": [914, 899, 945, 991], \"text\": \"1349\"}, {\"box_2d\": [952, 885, 976, 908], \"text\": \"2\"}, {\"box_2d\": [969, 87, 992, 132], \"text\": \"80\"}]", "correct": true, "input_tokens": 1303, "output_tokens": 1226, "elapsed_seconds": 10.882085042074323, "metadata": {"question": "{\"question\": \"Locate and transcribe all visible text on the circuit board and its components.\", \"specification\": \"Use one box per distinct marking; join lines within the same marking with single spaces. Exclude logos and non-text symbols. Return plain text, not LaTeX.\\n\\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Do not include explanations or Markdown.\", \"task\": \"localization_recognition\"}", "sample_id": "c6ae56b561cf8f5f317208f11fcabca01d00349aa4b5ded18bd4be0f971a938d", "category": "localization_recognition", "subset": "6594bb1ef85ebb84", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "12f2294e6d0509c02e6a431297e408238a20b20c4dbfd8c34b18caa3fe3a55df", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe all visible text on the circuit board and its components.\n\nUse one box per distinct marking; join lines within the same marking with single spaces. Exclude logos and non-text symbols. Return plain text, not LaTeX.\n\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Do not include explanations or Markdown.\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 1.0, "status": "ok", "format_compliant": true, "detection_f1": 1.0, "matched_regions": 37, "reference_regions": 37, "predicted_regions": 37, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 10.9105}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 531, "image": "image_2eaf1adb20009c3df472a7df_jpg.rf.ab64bf1635d01b6626f7da13cb93aee9.jpg", "expected": "{\"issuing_authority\":\"TUZLA BELED\u0130YES\u0130\",\"approval_date\":\"12/02/2025\",\"document_number\":\"31/25\",\"permit_purpose\":\"Yap\u0131 Kullanma \u0130zni\",\"map_sheet_number\":null,\"block_number\":\"0\",\"parcel_number\":\"8226\",\"building_block_number\":\"C\",\"building_class\":\"III\",\"building_group\":\"B\",\"floors_below_road\":\"2\",\"floors_above_road\":\"4\",\"total_floors\":\"6\",\"building_construction_area\":\"4465,11\",\"all_buildings_construction_area\":\"71602,12\"}", "predicted": "{\n \"issuing_authority\": \"TUZLA BELED\u0130YES\u0130\",\n \"approval_date\": \"12/02/2025\",\n \"document_number\": \"31/25\",\n \"permit_purpose\": \"Yap\u0131 Kullanma \u0130zni\",\n \"map_sheet_number\": null,\n \"block_number\": \"0\",\n \"parcel_number\": \"8226\",\n \"building_block_number\": \"C\",\n \"building_class\": \"III\",\n \"building_group\": \"B\",\n \"floors_below_road\": \"2\",\n \"floors_above_road\": \"4\",\n \"total_floors\": \"6\",\n \"building_construction_area\": \"4465,11\",\n \"all_buildings_construction_area\": \"71602,12\"\n}", "correct": true, "input_tokens": 1477, "output_tokens": 212, "elapsed_seconds": 4.213929165969603, "metadata": {"question": "{\"question\": \"Extract these identification and building fields from the building-use permit. Return only a valid JSON object with this structure:\\n\\n{\\n \\\"issuing_authority\\\": null,\\n \\\"approval_date\\\": null,\\n \\\"document_number\\\": null,\\n \\\"permit_purpose\\\": null,\\n \\\"map_sheet_number\\\": null,\\n \\\"block_number\\\": null,\\n \\\"parcel_number\\\": null,\\n \\\"building_block_number\\\": null,\\n \\\"building_class\\\": null,\\n \\\"building_group\\\": null,\\n \\\"floors_below_road\\\": null,\\n \\\"floors_above_road\\\": null,\\n \\\"total_floors\\\": null,\\n \\\"building_construction_area\\\": null,\\n \\\"all_buildings_construction_area\\\": null\\n}\\n\\nUse approval date and document number from Belgenin onay tarihi and Belge no, not earlier construction licences. permit_purpose is the selected option under Belgenin verili\u015f amac\u0131. Map cadastral identifiers from Pafta No, Ada No, Parsel No and Blok No. Keep Yap\u0131 in\u015faat alan\u0131 separate from Toplam yap\u0131 in\u015faat alan\u0131; do not substitute the permitted-part area. Omit printed area units; preserve numeric separators and dates.\\n\\nFor handwritten entries completed on preprinted date templates, include the printed year prefix. Treat standalone asterisks, dashes and dotted placeholders as null; retain punctuation within actual document numbers.\\n\\nPreserve the text as written; join line breaks within a field with spaces. Do not infer missing information or translate. Use strings for extracted values and null for missing or unreadable fields. Include every key. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "a9be24d865a3c44b9eb95dcfc132c52af5afb9f00096a476797efd56c69240eb", "category": "structured", "subset": "1ced26f23029a4b6", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "ff6a4149deeec2be6d95f020f75e0ffa347bd62d4aa665383d63864c5a2a4424", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract these identification and building fields from the building-use permit. Return only a valid JSON object with this structure:\n\n{\n \"issuing_authority\": null,\n \"approval_date\": null,\n \"document_number\": null,\n \"permit_purpose\": null,\n \"map_sheet_number\": null,\n \"block_number\": null,\n \"parcel_number\": null,\n \"building_block_number\": null,\n \"building_class\": null,\n \"building_group\": null,\n \"floors_below_road\": null,\n \"floors_above_road\": null,\n \"total_floors\": null,\n \"building_construction_area\": null,\n \"all_buildings_construction_area\": null\n}\n\nUse approval date and document number from Belgenin onay tarihi and Belge no, not earlier construction licences. permit_purpose is the selected option under Belgenin verili\u015f amac\u0131. Map cadastral identifiers from Pafta No, Ada No, Parsel No and Blok No. Keep Yap\u0131 in\u015faat alan\u0131 separate from Toplam yap\u0131 in\u015faat alan\u0131; do not substitute the permitted-part area. Omit printed area units; preserve numeric separators and dates.\n\nFor handwritten entries completed on preprinted date templates, include the printed year prefix. Treat standalone asterisks, dashes and dotted placeholders as null; retain punctuation within actual document numbers.\n\nPreserve the text as written; join line breaks within a field with spaces. Do not infer missing information or translate. Use strings for extracted values and null for missing or unreadable fields. Include every key. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 15, "reference_fields": 15, "predicted_fields": 15, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 4.2662}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 532, "image": "image_6d5a4e0f139967521ae586ec_jpg.rf.ae351f9977ef2e39af4e3fc1f2c0e46b.jpg", "expected": "250116", "predicted": "250116", "correct": true, "input_tokens": 1143, "output_tokens": 10, "elapsed_seconds": 2.5859556660288945, "metadata": {"question": "{\"question\": \"Read the six-digit code engraved on the metal surface. Return only the code as a string of digits, preserving leading zeros. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "1d382c9380de59c3061885f00644570b86b5a5fb79c91a49e079fc27566d986b", "category": "single_string", "subset": "f2a87f15a0d3eb96", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "6463cf07b9b2d6a63267a9c9b5180f17dbee452db15ed069132506a315aed859", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the six-digit code engraved on the metal surface. Return only the code as a string of digits, preserving leading zeros. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 2.5956}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 533, "image": "image_37a9869b0f1e9f8edbdf1f86_jpg.rf.9b0071280b435199fd6c369a63a1bd1a.jpg", "expected": "[{\"bbox\":[544,319,672,454],\"text\":\"M\"},{\"bbox\":[601,522,637,646],\"text\":\"I\"},{\"bbox\":[606,716,718,845],\"text\":\"C\"},{\"bbox\":[798,922,953,1052],\"text\":\"W\"},{\"bbox\":[606,932,721,1057],\"text\":\"A\"},{\"bbox\":[1242,932,1354,1057],\"text\":\"C\"},{\"bbox\":[426,958,500,1081],\"text\":\"J\"},{\"bbox\":[2536,1085,2665,1218],\"text\":\"G\"},{\"bbox\":[2095,1099,2201,1236],\"text\":\"E\"},{\"bbox\":[1886,1120,1992,1253],\"text\":\"S\"},{\"bbox\":[1452,1138,1572,1269],\"text\":\"O\"},{\"bbox\":[1664,1139,1786,1271],\"text\":\"O\"},{\"bbox\":[1254,1144,1342,1272],\"text\":\"L\"},{\"bbox\":[807,1158,925,1292],\"text\":\"A\"},{\"bbox\":[2550,1294,2663,1430],\"text\":\"U\"},{\"bbox\":[1247,1356,1366,1487],\"text\":\"A\"},{\"bbox\":[807,1373,915,1507],\"text\":\"N\"},{\"bbox\":[1925,1373,2028,1505],\"text\":\"U\"},{\"bbox\":[639,1390,667,1517],\"text\":\"I\"},{\"bbox\":[2365,1515,2463,1647],\"text\":\"E\"},{\"bbox\":[2566,1518,2698,1652],\"text\":\"M\"},{\"bbox\":[2144,1560,2245,1694],\"text\":\"E\"},{\"bbox\":[1314,1567,1340,1697],\"text\":\"I\"},{\"bbox\":[1917,1590,2038,1722],\"text\":\"R\"},{\"bbox\":[851,1607,951,1738],\"text\":\"T\"},{\"bbox\":[1481,1799,1597,1926],\"text\":\"Y\"},{\"bbox\":[1061,1803,1174,1929],\"text\":\"R\"},{\"bbox\":[1960,1803,2062,1937],\"text\":\"E\"},{\"bbox\":[1266,1805,1389,1934],\"text\":\"M\"},{\"bbox\":[623,1825,782,1955],\"text\":\"W\"},{\"bbox\":[846,1825,977,1946],\"text\":\"O\"},{\"bbox\":[875,2027,982,2158],\"text\":\"N\"},{\"bbox\":[652,2042,772,2171],\"text\":\"O\"},{\"bbox\":[641,2255,771,2375],\"text\":\"O\"},{\"bbox\":[1060,2457,1180,2590],\"text\":\"G\"},{\"bbox\":[846,2464,976,2585],\"text\":\"O\"},{\"bbox\":[660,2470,744,2598],\"text\":\"L\"},{\"bbox\":[443,2476,539,2603],\"text\":\"B\"},{\"bbox\":[1069,2666,1190,2799],\"text\":\"O\"},{\"bbox\":[1087,2885,1188,3014],\"text\":\"T\"},{\"bbox\":[910,2886,942,3016],\"text\":\"I\"},{\"bbox\":[674,2889,775,3022],\"text\":\"Z\"},{\"bbox\":[1092,3098,1200,3228],\"text\":\"H\"}]", "predicted": "[{\"box_2d\": [77, 179, 111, 223], \"text\": \"M\"}, {\"box_2d\": [131, 198, 160, 211], \"text\": \"I\"}, {\"box_2d\": [178, 199, 209, 239], \"text\": \"C\"}, {\"box_2d\": [227, 263, 261, 316], \"text\": \"W\"}, {\"box_2d\": [230, 409, 262, 449], \"text\": \"C\"}, {\"box_2d\": [231, 201, 262, 238], \"text\": \"A\"}, {\"box_2d\": [236, 141, 269, 167], \"text\": \"J\"}, {\"box_2d\": [269, 839, 302, 882], \"text\": \"G\"}, {\"box_2d\": [273, 694, 306, 730], \"text\": \"E\"}, {\"box_2d\": [279, 622, 311, 658], \"text\": \"S\"}, {\"box_2d\": [283, 479, 316, 522], \"text\": \"O\"}, {\"box_2d\": [283, 550, 316, 593], \"text\": \"O\"}, {\"box_2d\": [284, 413, 316, 443], \"text\": \"L\"}, {\"box_2d\": [286, 266, 319, 307], \"text\": \"A\"}, {\"box_2d\": [321, 843, 355, 882], \"text\": \"U\"}, {\"box_2d\": [336, 412, 369, 452], \"text\": \"A\"}, {\"box_2d\": [339, 636, 372, 673], \"text\": \"U\"}, {\"box_2d\": [341, 266, 373, 304], \"text\": \"N\"}, {\"box_2d\": [344, 210, 377, 222], \"text\": \"I\"}, {\"box_2d\": [376, 848, 410, 892], \"text\": \"M\"}, {\"box_2d\": [377, 779, 410, 814], \"text\": \"E\"}, {\"box_2d\": [387, 434, 420, 445], \"text\": \"I\"}, {\"box_2d\": [387, 709, 419, 745], \"text\": \"E\"}, {\"box_2d\": [393, 633, 426, 675], \"text\": \"R\"}, {\"box_2d\": [398, 281, 431, 314], \"text\": \"T\"}, {\"box_2d\": [445, 488, 477, 526], \"text\": \"Y\"}, {\"box_2d\": [446, 353, 479, 391], \"text\": \"R\"}, {\"box_2d\": [447, 416, 480, 460], \"text\": \"M\"}, {\"box_2d\": [447, 648, 480, 683], \"text\": \"E\"}, {\"box_2d\": [449, 279, 482, 321], \"text\": \"O\"}, {\"box_2d\": [451, 206, 485, 258], \"text\": \"W\"}, {\"box_2d\": [502, 289, 535, 326], \"text\": \"N\"}, {\"box_2d\": [505, 216, 538, 257], \"text\": \"O\"}, {\"box_2d\": [557, 213, 589, 255], \"text\": \"O\"}, {\"box_2d\": [607, 350, 641, 391], \"text\": \"G\"}, {\"box_2d\": [609, 280, 642, 322], \"text\": \"O\"}, {\"box_2d\": [612, 219, 644, 248], \"text\": \"L\"}, {\"box_2d\": [613, 146, 645, 181], \"text\": \"B\"}, {\"box_2d\": [659, 352, 692, 394], \"text\": \"O\"}, {\"box_2d\": [715, 299, 747, 314], \"text\": \"I\"}, {\"box_2d\": [715, 359, 747, 393], \"text\": \"T\"}, {\"box_2d\": [716, 222, 748, 257], \"text\": \"Z\"}, {\"box_2d\": [767, 361, 800, 396], \"text\": \"H\"}]", "correct": true, "input_tokens": 1301, "output_tokens": 1379, "elapsed_seconds": 26.85531587502919, "metadata": {"question": "{\"question\": \"Locate and transcribe the large letter on every visible letter tile.\", \"specification\": \"Use one tight box around each letter, not the tile boundary; keep adjacent tiles separate. Include rotated letters; exclude point values, blank tiles and background text. Return plain text, not LaTeX.\\n\\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\", \"task\": \"localization_recognition\"}", "sample_id": "210e2e4e27fac2ba973648f8bba67b38e410a4ea1b089820b5caafefc7138193", "category": "localization_recognition", "subset": "c7e0eb346c8e2ba1", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "3fa3d79183e4f2ed671867aa2a3cea04dc6b66e839fa48ed07a95feebf67b576", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe the large letter on every visible letter tile.\n\nUse one tight box around each letter, not the tile boundary; keep adjacent tiles separate. Include rotated letters; exclude point values, blank tiles and background text. Return plain text, not LaTeX.\n\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 1.0, "status": "ok", "format_compliant": true, "detection_f1": 1.0, "matched_regions": 43, "reference_regions": 43, "predicted_regions": 43, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 27.3838}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 534, "image": "image_37a9869b0f1e9f8edbdf1f86_jpg.rf.9b0071280b435199fd6c369a63a1bd1a.jpg", "expected": "BLOG\nCLAIM\nGOTH\nGUM\nIN\nJAW\nLOOSE\nMICA\nON\nSURE\nWANTON\nWOOL\nWORMY\nZIT", "predicted": "BLOG\nCLAIM\nGOTH\nGUM\nIN\nJAW\nLOOSE\nMICA\nNO\nON\nSURE\nWANTON\nWOOL\nWORMY\nZIT", "correct": false, "input_tokens": 1172, "output_tokens": 42, "elapsed_seconds": 11.14537995797582, "metadata": {"question": "{\"question\": \"Read all words formed by the letter tiles, including rotated words. Include only words valid in the Merriam-Webster Official Scrabble Players Dictionary. Return them in uppercase, one word per line, in alphabetical order. Preserve spelling and repeated words; do not correct or rearrange letters to make valid words. Ignore isolated letters and background text. Return only the words, without explanations or Markdown.\", \"task\": \"transcription\"}", "sample_id": "2a828d6bf92e4235986a52fb8987b80a52036828d0a1da8cfba9985a14a60d35", "category": "transcription", "subset": "1b7d212231bfff95", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "3fa3d79183e4f2ed671867aa2a3cea04dc6b66e839fa48ed07a95feebf67b576", "text_protocol": "mixed-text-v2", "scoring_profile": "transcription", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read all words formed by the letter tiles, including rotated words. Include only words valid in the Merriam-Webster Official Scrabble Players Dictionary. Return them in uppercase, one word per line, in alphabetical order. Preserve spelling and repeated words; do not correct or rearrange letters to make valid words. Ignore isolated letters and background text. Return only the words, without explanations or Markdown.", "match_method": "transcription", "score": 0.9571, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 11.7119}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 535, "image": "image_bf512e5a6f55b18ec4d9da50_jpg.rf.807fd1283596880fdacf494ea0ebf6fe.jpg", "expected": "{\"grading_company\":\"PMG\",\"year\":null,\"denomination\":null,\"serial_number\":null,\"grade\":\"66\"}", "predicted": "{\n \"grading_company\": \"PMG\",\n \"year\": null,\n \"denomination\": null,\n \"serial_number\": null,\n \"grade\": null\n}", "correct": false, "input_tokens": 1359, "output_tokens": 47, "elapsed_seconds": 2.969317957991734, "metadata": {"question": "{\"question\": \"Extract the information printed on this graded banknote and its holder. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"grading_company\\\": null,\\n \\\"year\\\": null,\\n \\\"denomination\\\": null,\\n \\\"serial_number\\\": null,\\n \\\"grade\\\": null\\n}\\n\\nRead serial_number from the banknote and the other fields from the holder. Preserve serial letters, leading zeros and symbols, removing spaces. Return the numeric grade only (e.g., \u201c25 Very Fine\u201d \u2192 \u201c25\u201d).\\n\\nNormalize serial stars to * (e.g., \u201cD20005093\u2606\u201d \u2192 \u201cD20005093*\u201d); omit decorative end marks. Use explicit holder fields for year and denomination, excluding catalog codes. For multiple notes, use the uppermost.\\n\\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "0dce42b29d7127d26b040c1c0b7acabb7a50496f8ea2840ce214f86216068fcf", "category": "structured", "subset": "e95781a757393405", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "04e8f2030fedc9a2c9200583f2323ee33dd2b10fb537e01e12a211e739d1139d", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on this graded banknote and its holder. Return only a valid JSON object with these fields:\n\n{\n \"grading_company\": null,\n \"year\": null,\n \"denomination\": null,\n \"serial_number\": null,\n \"grade\": null\n}\n\nRead serial_number from the banknote and the other fields from the holder. Preserve serial letters, leading zeros and symbols, removing spaces. Return the numeric grade only (e.g., \u201c25 Very Fine\u201d \u2192 \u201c25\u201d).\n\nNormalize serial stars to * (e.g., \u201cD20005093\u2606\u201d \u2192 \u201cD20005093*\u201d); omit decorative end marks. Use explicit holder fields for year and denomination, excluding catalog codes. For multiple notes, use the uppermost.\n\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 0.8, "status": "ok", "format_compliant": true, "matched_fields": 4, "reference_fields": 5, "predicted_fields": 5, "non_null_field_accuracy": 0.5, "object_exact_match": false, "attempts": 1, "retries": 0, "total_seconds": 2.9886}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 536, "image": "image_af98fc138c480a95adf240d3_jpg.rf.8cb4152856621b541dc4c3dddf2caaf8.jpg", "expected": "0", "predicted": "0", "correct": true, "input_tokens": 1167, "output_tokens": 5, "elapsed_seconds": 3.0834827079670504, "metadata": {"question": "{\"question\": \"Read the weight shown on the digital scale in this image. Return only the numeric reading, preserving the decimal separator and any minus sign. Do not include units or explain.\", \"task\": \"single_string\"}", "sample_id": "f94b3adb9c5e95bf4d249e8f4d0331a43d67c5b28e9ac01f02d1fd34764ad558", "category": "single_string", "subset": "2230d8632391d9a6", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "2fc7956aa26c2ea966d060089b2d7dbd8292612a0cde24d20c018242e87e19bf", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the weight shown on the digital scale in this image. Return only the numeric reading, preserving the decimal separator and any minus sign. Do not include units or explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 3.167}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 537, "image": "image_13ce14c69c20559dc342bd6e_jpg.rf.4b924cc2a928826bb74167beebc8267d.jpg", "expected": "01831.9", "predicted": "01831.6", "correct": false, "input_tokens": 1135, "output_tokens": 11, "elapsed_seconds": 3.9631859590299428, "metadata": {"question": "{\"question\": \"Read the total mileage shown on the odometer in this image. Return only the numeric reading, preserving leading zeros and any decimal separator. Do not include the trip reading, units, or explain.\", \"task\": \"single_string\"}", "sample_id": "29488ea607b45f424a2903227df158d6df65aed0aeaf0266c44bd9503216bbaa", "category": "single_string", "subset": "12ff5ae87687aff8", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "694abd79d966776fc1d42be228879ba0bf2328f7f9fde9c427cdb0f4b0beddef", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the total mileage shown on the odometer in this image. Return only the numeric reading, preserving leading zeros and any decimal separator. Do not include the trip reading, units, or explain.", "match_method": "single_string", "score": 0.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 4.0578}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 538, "image": "image_191faade506f5b258e2b1596_png_jpg.rf.322ad44a8d4f09764acd061258e6742d.jpg", "expected": "{\"columns\":[null,null,\"UDIT RAJ\",\"YOGENDER CHANDOLIYA\",\"VIJAY BAUDDH\",\"K M KAJAL\",\"ADV. KRUPAL\",\"KHILKHILAKAR\",\"NAND RAM BAGRI\",\"NARESH KUMAR\",\"POOJA (BHAGTANI)\",\"PRAVEEN GAUTAM\",\"PREETI\",\"ADVOCATE DR. MAHENDER SINGH CHURIYANA\",\"RAJENDER SOOD\",\"SHYAM BHARTEEY\",\"ADVOCATE SATISH CHANDRA\",\"SUBHASH\",\"SURESH KUMAR\",\"SANJAY KUMAR SIWAL\",\"ADITI\",\"CHANDER PAL SONI\",\"NARESH KUMAR\",\"PARMENDRA MANJHI\",\"PUSHPA NAGRA\",\"PRADEEP KUMAR\",\"SATYA PRAKASH UTTRAKHANDI\",\"HARI KISHAN (MECHANIC)\",\"Total of Valid Votes\",\"No. Of Rejected Votes\",\"Votes for NOTA\",\"Total\",\"No. Of Tendered Votes\"],\"rows\":[[\"1\",\"1\",\"157\",\"272\",\"2\",\"2\",\"0\",\"1\",\"2\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"2\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"440\",\"0\",\"3\",\"443\",\"0\"],[\"2\",\"2\",\"267\",\"478\",\"2\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"1\",\"0\",\"2\",\"0\",\"1\",\"1\",\"0\",\"0\",\"0\",\"1\",\"0\",\"756\",\"0\",\"8\",\"764\",\"0\"],[\"3\",\"3\",\"235\",\"472\",\"3\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"1\",\"0\",\"3\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"718\",\"0\",\"6\",\"724\",\"0\"],[\"4\",\"4\",\"183\",\"461\",\"2\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"647\",\"0\",\"16\",\"663\",\"0\"],[\"5\",\"5\",\"302\",\"562\",\"3\",\"2\",\"0\",\"0\",\"0\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"1\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"875\",\"0\",\"7\",\"882\",\"0\"],[\"6\",\"6\",\"156\",\"383\",\"3\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"545\",\"0\",\"1\",\"546\",\"0\"],[\"7\",\"7\",\"190\",\"425\",\"4\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"1\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"624\",\"0\",\"3\",\"627\",\"0\"],[\"8\",\"8\",\"283\",\"590\",\"5\",\"0\",\"1\",\"0\",\"1\",\"0\",\"1\",\"1\",\"1\",\"0\",\"1\",\"1\",\"0\",\"0\",\"1\",\"2\",\"0\",\"2\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"891\",\"0\",\"10\",\"901\",\"0\"]]}", "predicted": "{\"columns\":[null,\"Serial No. Of Polling Station\",\"UDIT RAJ\",\"YOGENDER CHANDOLIYA\",\"VIJAY BAUDDH\",\"K M KAJAL\",\"ADV. KRUPAL\",\"KHILKHILAKAR\",\"NAND RAM BAGRI\",\"NARESH KUMAR\",\"POOJA (BHAGTANI)\",\"PRAVEEN GAUTAM\",\"PREETI\",\"ADVOCATE DR. MAHENDER SINGH CHURIYANA\",\"RAJENDER SOOD\",\"SHYAM BHARTEEY\",\"ADVOCATE SATISH CHANDRA\",\"SUBHASH\",\"SURESH KUMAR\",\"SANJAY KUMAR SIWAL\",\"ADITI\",\"CHANDER PAL SONI\",\"NARESH KUMAR\",\"PARMENDRA MANJHI\",\"PUSHPA NAGRA\",\"PRADEEP KUMAR\",\"SATYA PRAKASH UTTRAKHANDI\",\"HARI KISHAN (MECHANIC)\",\"Total of Valid Votes\",\"No. Of Rejected Votes\",\"Votes for NOTA\",\"Total\",\"No. Of Tendered Votes\"],\"rows\":[[\"1\",\"1\",\"157\",\"272\",\"2\",\"2\",\"0\",\"1\",\"2\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"2\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"440\",\"0\",\"3\",\"443\",\"0\"],[\"2\",\"2\",\"267\",\"478\",\"2\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"1\",\"0\",\"2\",\"0\",\"1\",\"1\",\"0\",\"0\",\"0\",\"1\",\"0\",\"756\",\"0\",\"8\",\"764\",\"0\"],[\"3\",\"3\",\"235\",\"472\",\"3\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"1\",\"0\",\"3\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"718\",\"0\",\"6\",\"724\",\"0\"],[\"4\",\"4\",\"183\",\"461\",\"2\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"647\",\"0\",\"16\",\"663\",\"0\"],[\"5\",\"5\",\"302\",\"562\",\"3\",\"2\",\"0\",\"0\",\"0\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"1\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"875\",\"0\",\"7\",\"882\",\"0\"],[\"6\",\"6\",\"156\",\"383\",\"3\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"545\",\"0\",\"1\",\"546\",\"0\"],[\"7\",\"7\",\"190\",\"425\",\"4\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"1\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"624\",\"0\",\"3\",\"627\",\"0\"],[\"8\",\"8\",\"283\",\"590\",\"5\",\"0\",\"1\",\"0\",\"1\",\"0\",\"1\",\"1\",\"1\",\"0\",\"1\",\"1\",\"0\",\"0\",\"1\",\"2\",\"0\",\"2\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"891\",\"0\",\"10\",\"901\",\"0\"]]}", "correct": false, "input_tokens": 1281, "output_tokens": 800, "elapsed_seconds": 8.666865499923006, "metadata": {"question": "{\"question\": \"Extract the election-results table from this image. Return only a valid JSON object with this structure:\\n\\n{\\n \\\"columns\\\": [],\\n \\\"rows\\\": []\\n}\\n\\nReturn every leaf column left-to-right, including row identifiers, candidate names and summary columns. Join multi-line column headings with spaces; omit shared spanning headings. Use null for a leaf column without its own heading; do not invent or duplicate a spanning heading. Return rows as arrays of cells aligned with columns, top-to-bottom, including any printed total rows. Preserve zeros, identifiers and printed symbols; use null for blank or unreadable cells, never 0. Do not calculate totals or fill values from neighboring cells. Each row must contain exactly one cell per column.\\n\\nPreserve text as printed or handwritten, joining line breaks within a field with spaces. Do not infer missing information or translate. Include every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "afe8b03e5dfde69fc7313008c87e5c31d3cd7aa0ea91391a00f6fd754700f324", "category": "structured", "subset": "632de14cb0143303", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "62552f487d368913658d3f8a38e0c0779d12052911fed57e1482fdac787c462d", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the election-results table from this image. Return only a valid JSON object with this structure:\n\n{\n \"columns\": [],\n \"rows\": []\n}\n\nReturn every leaf column left-to-right, including row identifiers, candidate names and summary columns. Join multi-line column headings with spaces; omit shared spanning headings. Use null for a leaf column without its own heading; do not invent or duplicate a spanning heading. Return rows as arrays of cells aligned with columns, top-to-bottom, including any printed total rows. Preserve zeros, identifiers and printed symbols; use null for blank or unreadable cells, never 0. Do not calculate totals or fill values from neighboring cells. Each row must contain exactly one cell per column.\n\nPreserve text as printed or handwritten, joining line breaks within a field with spaces. Do not infer missing information or translate. Include every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 0.9966, "status": "ok", "format_compliant": true, "matched_fields": 296, "reference_fields": 297, "predicted_fields": 297, "non_null_field_accuracy": 1.0, "object_exact_match": false, "attempts": 1, "retries": 0, "total_seconds": 8.7275}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 539, "image": "image_614c63d63474f16127c8387b_jpg.rf.042b6f3f94dbfd1b332fa1019ba0352f.jpg", "expected": "{\"issuing_authority\":\"TUZLA BELED\u0130YES\u0130\",\"approval_date\":\"12/02/2025\",\"document_number\":\"30/25\",\"permit_purpose\":\"Yap\u0131 Kullanma \u0130zni\",\"map_sheet_number\":null,\"block_number\":\"0\",\"parcel_number\":\"8226\",\"building_block_number\":\"P\",\"building_class\":\"III\",\"building_group\":\"B\",\"floors_below_road\":\"2\",\"floors_above_road\":\"4\",\"total_floors\":\"6\",\"building_construction_area\":\"5084,53\",\"all_buildings_construction_area\":\"71602,12\"}", "predicted": "{\n \"issuing_authority\": \"TUZLA BELED\u0130YES\u0130\",\n \"approval_date\": \"12/02/2025\",\n \"document_number\": \"30/25\",\n \"permit_purpose\": \"Yap\u0131 Kullanma \u0130zni\",\n \"map_sheet_number\": null,\n \"block_number\": \"0\",\n \"parcel_number\": \"8226\",\n \"building_block_number\": \"P\",\n \"building_class\": \"III\",\n \"building_group\": \"B\",\n \"floors_below_road\": \"2\",\n \"floors_above_road\": \"4\",\n \"total_floors\": \"6\",\n \"building_construction_area\": \"5084,53\",\n \"all_buildings_construction_area\": \"71602,12\"\n}", "correct": true, "input_tokens": 1477, "output_tokens": 212, "elapsed_seconds": 4.481821208959445, "metadata": {"question": "{\"question\": \"Extract these identification and building fields from the building-use permit. Return only a valid JSON object with this structure:\\n\\n{\\n \\\"issuing_authority\\\": null,\\n \\\"approval_date\\\": null,\\n \\\"document_number\\\": null,\\n \\\"permit_purpose\\\": null,\\n \\\"map_sheet_number\\\": null,\\n \\\"block_number\\\": null,\\n \\\"parcel_number\\\": null,\\n \\\"building_block_number\\\": null,\\n \\\"building_class\\\": null,\\n \\\"building_group\\\": null,\\n \\\"floors_below_road\\\": null,\\n \\\"floors_above_road\\\": null,\\n \\\"total_floors\\\": null,\\n \\\"building_construction_area\\\": null,\\n \\\"all_buildings_construction_area\\\": null\\n}\\n\\nUse approval date and document number from Belgenin onay tarihi and Belge no, not earlier construction licences. permit_purpose is the selected option under Belgenin verili\u015f amac\u0131. Map cadastral identifiers from Pafta No, Ada No, Parsel No and Blok No. Keep Yap\u0131 in\u015faat alan\u0131 separate from Toplam yap\u0131 in\u015faat alan\u0131; do not substitute the permitted-part area. Omit printed area units; preserve numeric separators and dates.\\n\\nFor handwritten entries completed on preprinted date templates, include the printed year prefix. Treat standalone asterisks, dashes and dotted placeholders as null; retain punctuation within actual document numbers.\\n\\nPreserve the text as written; join line breaks within a field with spaces. Do not infer missing information or translate. Use strings for extracted values and null for missing or unreadable fields. Include every key. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "5aa3438976effa400e4af2df36130bbda3b84e37735ac635fb43e5adbfa22ef6", "category": "structured", "subset": "1ced26f23029a4b6", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "74cb88355e9a6e5b7416a61153bd2711665c362f38b45b8b89b327bcd39ec6b7", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract these identification and building fields from the building-use permit. Return only a valid JSON object with this structure:\n\n{\n \"issuing_authority\": null,\n \"approval_date\": null,\n \"document_number\": null,\n \"permit_purpose\": null,\n \"map_sheet_number\": null,\n \"block_number\": null,\n \"parcel_number\": null,\n \"building_block_number\": null,\n \"building_class\": null,\n \"building_group\": null,\n \"floors_below_road\": null,\n \"floors_above_road\": null,\n \"total_floors\": null,\n \"building_construction_area\": null,\n \"all_buildings_construction_area\": null\n}\n\nUse approval date and document number from Belgenin onay tarihi and Belge no, not earlier construction licences. permit_purpose is the selected option under Belgenin verili\u015f amac\u0131. Map cadastral identifiers from Pafta No, Ada No, Parsel No and Blok No. Keep Yap\u0131 in\u015faat alan\u0131 separate from Toplam yap\u0131 in\u015faat alan\u0131; do not substitute the permitted-part area. Omit printed area units; preserve numeric separators and dates.\n\nFor handwritten entries completed on preprinted date templates, include the printed year prefix. Treat standalone asterisks, dashes and dotted placeholders as null; retain punctuation within actual document numbers.\n\nPreserve the text as written; join line breaks within a field with spaces. Do not infer missing information or translate. Use strings for extracted values and null for missing or unreadable fields. Include every key. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 15, "reference_fields": 15, "predicted_fields": 15, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 4.5291}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 540, "image": "image_0bf3885975387658b7964dcb_jpg.rf.2ab1b34ed5bcf0b93041abb022beddbf.jpg", "expected": "0.118", "predicted": "0.118", "correct": true, "input_tokens": 1167, "output_tokens": 9, "elapsed_seconds": 3.5373384170234203, "metadata": {"question": "{\"question\": \"Read the weight shown on the digital scale in this image. Return only the numeric reading, preserving the decimal separator and any minus sign. Do not include units or explain.\", \"task\": \"single_string\"}", "sample_id": "05f6a2df85c1b9ec32a8260eb7d6f8f1ed028edb2aa12cd506b17e349b168157", "category": "single_string", "subset": "2230d8632391d9a6", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "82cbac4f070503e046badb52e35ed34334d74f1b36dc5442b070d15cbfabb896", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the weight shown on the digital scale in this image. Return only the numeric reading, preserving the decimal separator and any minus sign. Do not include units or explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 3.6415}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 541, "image": "image_da5d052831d1da3125a37b20_jpg.rf.eab354ee1f9e3214cac29d1556923e2a.jpg", "expected": "{\"validity_period\":null,\"offers\":[{\"product_name\":\"POMODORO SAN MARZANO DOP SAPORI&DINTORNI CONAD\",\"price\":\"1,29 \u20ac\",\"price_basis\":null},{\"product_name\":\"PESTO FRESCO ALLA GENOVESE SAPORI&DINTORNI CONAD con basilico genovese dop\",\"price\":\"2,19 \u20ac\",\"price_basis\":null},{\"product_name\":\"BURRATA PUGLIESE SAPORI&DINTORNI CONAD lavorata a mano\",\"price\":\"2,75 \u20ac\",\"price_basis\":null},{\"product_name\":\"POMODORO CAMONE SAPORI&DINTORNI CONAD origine Italia, categoria I\",\"price\":\"1,79 \u20ac\",\"price_basis\":null},{\"product_name\":\"LINEA LEGUMI E CEREALI SAPORI&DINTORNI\",\"price\":null,\"price_basis\":null},{\"product_name\":\"VINO BARBARESCO DOCG TERREDAVINO\",\"price\":\"10,49 \u20ac\",\"price_basis\":null},{\"product_name\":\"OLIVE TAGGIASCHE CITRES in olio\",\"price\":\"2,59 \u20ac\",\"price_basis\":null}]}", "predicted": "{\"validity_period\": null, \"offers\": [{\"product_name\": \"POMODORO SAN MARZANO DOP SAPORI&DINTORNI CONAD\", \"price\": \"1,29 \u20ac\", \"price_basis\": null}, {\"product_name\": \"PESTO FRESCO ALLA GENOVESE SAPORI&DINTORNI CONAD\", \"price\": \"2,19 \u20ac\", \"price_basis\": null}, {\"product_name\": \"BURRATA PUGLIESE SAPORI&DINTORNI CONAD lavorata a mano\", \"price\": \"2,75 \u20ac\", \"price_basis\": null}, {\"product_name\": \"POMODORO CAMONE SAPORI&DINTORNI CONAD\", \"price\": \"1,79 \u20ac\", \"price_basis\": \"cestino\"}, {\"product_name\": \"LINEA LEGUMI E CEREALI SAPORI&DINTORNI\", \"price\": null, \"price_basis\": null}, {\"product_name\": \"VINO BARBARESCO DOCG TERREDAVINO\", \"price\": \"10,49 \u20ac\", \"price_basis\": null}, {\"product_name\": \"OLIVE TAGGIASCHE CITRES in olio\", \"price\": \"2,59 \u20ac\", \"price_basis\": null}]}", "correct": false, "input_tokens": 1428, "output_tokens": 288, "elapsed_seconds": 4.52807929192204, "metadata": {"question": "{\"question\": \"Extract the information printed on this retail leaflet page. Return only a valid JSON object with this structure:\\n\\n{\\n \\\"validity_period\\\": null,\\n \\\"offers\\\": [\\n {\\n \\\"product_name\\\": null,\\n \\\"price\\\": null,\\n \\\"price_basis\\\": null\\n }\\n ]\\n}\\n\\nReturn product blocks in visual rows, left-to-right. Use the printed product description, excluding variant lists and text only on pictured packaging. Include a separately printed brand above the description only if not already named there.\\n\\nUse the prominent advertised price, not previous or comparison prices. Join raised cents with a decimal comma; place any printed currency after the amount with one space (e.g., \u20ac4\u2079\u2079 \u2192 4,99 \u20ac). Do not infer currency or calculate prices. Keep ply counts in product_name. Put the selling basis in price_basis (al kg \u2192 /kg, al pz \u2192 /pz, confezione \u2192 confezione).\\n\\nUse only page-wide validity dates, without weekdays; an end-only date is allowed. Exclude unrestricted marketing slogans. Discount-only offers have price:null.\\n\\nPreserve text as printed, joining line breaks within a field with spaces. Do not infer missing information or translate. Include every key. Use strings for extracted values and null for missing or unreadable values; retain arrays as arrays. Return empty arrays when there are no entries. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "32eaa06b9b44c70763c04956b4332c263e1ff6e34c1975b4aeaccf6e139c696a", "category": "structured", "subset": "660e48d305d84282", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "6b0047daa6bf4eb9eec31a80c34adad2f8d1bfda92763253969f3cf328374164", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on this retail leaflet page. Return only a valid JSON object with this structure:\n\n{\n \"validity_period\": null,\n \"offers\": [\n {\n \"product_name\": null,\n \"price\": null,\n \"price_basis\": null\n }\n ]\n}\n\nReturn product blocks in visual rows, left-to-right. Use the printed product description, excluding variant lists and text only on pictured packaging. Include a separately printed brand above the description only if not already named there.\n\nUse the prominent advertised price, not previous or comparison prices. Join raised cents with a decimal comma; place any printed currency after the amount with one space (e.g., \u20ac4\u2079\u2079 \u2192 4,99 \u20ac). Do not infer currency or calculate prices. Keep ply counts in product_name. Put the selling basis in price_basis (al kg \u2192 /kg, al pz \u2192 /pz, confezione \u2192 confezione).\n\nUse only page-wide validity dates, without weekdays; an end-only date is allowed. Exclude unrestricted marketing slogans. Discount-only offers have price:null.\n\nPreserve text as printed, joining line breaks within a field with spaces. Do not infer missing information or translate. Include every key. Use strings for extracted values and null for missing or unreadable values; retain arrays as arrays. Return empty arrays when there are no entries. Do not include explanations or Markdown.", "match_method": "structured", "score": 0.8636, "status": "ok", "format_compliant": true, "matched_fields": 19, "reference_fields": 22, "predicted_fields": 22, "non_null_field_accuracy": 0.8461538461538461, "object_exact_match": false, "attempts": 1, "retries": 0, "total_seconds": 4.5721}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 542, "image": "image_c53ef46b79c3518d29d7eb57_png_jpg.rf.2cc01ff64cf75675d77501d6d6749bae.jpg", "expected": "{\"columns\":[null,null,\"UDIT RAJ\",\"YOGENDER CHANDOLIYA\",\"VIJAY BAUDDH\",\"K M KAJAL\",\"ADV. KRUPAL\",\"KHILKHILAKAR\",\"NAND RAM BAGRI\",\"NARESH KUMAR\",\"POOJA (BHAGTANI)\",\"PRAVEEN GAUTAM\",\"PREETI\",\"ADVOCATE DR. MAHENDER SINGH CHURIYANA\",\"RAJENDER SOOD\",\"SHYAM BHARTEEY\",\"ADVOCATE SATISH CHANDRA\",\"SUBHASH\",\"SURESH KUMAR\",\"SANJAY KUMAR SIWAL\",\"ADITI\",\"CHANDER PAL SONI\",\"NARESH KUMAR\",\"PARMENDRA MANJHI\",\"PUSHPA NAGRA\",\"PRADEEP KUMAR\",\"SATYA PRAKASH UTTRAKHANDI\",\"HARI KISHAN (MECHANIC)\",\"Total of Valid Votes\",\"No. Of Rejected Votes\",\"Votes for NOTA\",\"Total\",\"No. Of Tendered Votes\"],\"rows\":[[\"241\",\"241\",\"193\",\"314\",\"5\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"2\",\"1\",\"1\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"518\",\"0\",\"1\",\"519\",\"0\"],[\"242\",\"242\",\"192\",\"376\",\"6\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"1\",\"0\",\"0\",\"0\",\"1\",\"1\",\"2\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"583\",\"0\",\"3\",\"586\",\"0\"],[\"243\",\"243\",\"290\",\"409\",\"12\",\"1\",\"1\",\"0\",\"1\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"2\",\"4\",\"0\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"724\",\"0\",\"6\",\"730\",\"0\"],[\"244\",\"244\",\"233\",\"392\",\"12\",\"1\",\"1\",\"1\",\"2\",\"0\",\"0\",\"1\",\"0\",\"2\",\"0\",\"1\",\"0\",\"0\",\"2\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"651\",\"0\",\"4\",\"655\",\"0\"],[\"245\",\"245\",\"283\",\"432\",\"8\",\"0\",\"2\",\"1\",\"0\",\"0\",\"1\",\"0\",\"0\",\"2\",\"0\",\"3\",\"0\",\"1\",\"2\",\"2\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"738\",\"0\",\"2\",\"740\",\"0\"],[\"246\",\"246\",\"294\",\"494\",\"21\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"1\",\"3\",\"0\",\"1\",\"2\",\"1\",\"2\",\"0\",\"2\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"825\",\"0\",\"3\",\"828\",\"0\"],[\"247\",\"247\",\"374\",\"318\",\"6\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"2\",\"1\",\"2\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"708\",\"0\",\"3\",\"711\",\"0\"],[\"248\",\"248\",\"264\",\"536\",\"11\",\"0\",\"1\",\"0\",\"0\",\"2\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"1\",\"0\",\"0\",\"4\",\"0\",\"0\",\"0\",\"0\",\"0\",\"822\",\"0\",\"4\",\"826\",\"0\"]]}", "predicted": "{\"columns\":[null,\"Serial No. Of Polling Station\",\"UDIT RAJ\",\"YOGENDER CHANDOLIYA\",\"VIJAY BAUDDH\",\"K M KAJAL\",\"ADV. KRUPAL\",\"KHILKHILAKAR\",\"NAND RAM BAGRI\",\"NARESH KUMAR\",\"POOJA (BHAGTANI)\",\"PRAVEEN GAUTAM\",\"PREETI\",\"ADVOCATE DR. MAHENDER SINGH CHURIYANA\",\"RAJENDER SOOD\",\"SHYAM BHARTEEY\",\"ADVOCATE SATISH CHANDRA\",\"SUBHASH\",\"SURESH KUMAR\",\"SANJAY KUMAR SIWAL\",\"ADITI\",\"CHANDER PAL SONI\",\"NARESH KUMAR\",\"PARMENDRA MANJHI\",\"PUSHPA NAGRA\",\"PRADEEP KUMAR\",\"SATYA PRAKASH UTTRAKHANDI\",\"HARI KISHAN (MECHANIC)\",\"Total of Valid Votes\",\"No. Of Rejected Votes\",\"Votes for NOTA\",\"Total\",\"No. Of Tendered Votes\"],\"rows\":[[\"241\",\"241\",\"193\",\"314\",\"5\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"2\",\"1\",\"1\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"518\",\"0\",\"1\",\"519\",\"0\"],[\"242\",\"242\",\"192\",\"376\",\"6\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"1\",\"0\",\"0\",\"0\",\"1\",\"1\",\"2\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"583\",\"0\",\"3\",\"586\",\"0\"],[\"243\",\"243\",\"290\",\"409\",\"12\",\"1\",\"1\",\"0\",\"1\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"2\",\"4\",\"0\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"724\",\"0\",\"6\",\"730\",\"0\"],[\"244\",\"244\",\"233\",\"392\",\"12\",\"1\",\"1\",\"1\",\"2\",\"0\",\"0\",\"1\",\"0\",\"2\",\"0\",\"1\",\"0\",\"0\",\"2\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"651\",\"0\",\"4\",\"655\",\"0\"],[\"245\",\"245\",\"283\",\"432\",\"8\",\"0\",\"2\",\"1\",\"0\",\"0\",\"1\",\"0\",\"0\",\"2\",\"0\",\"3\",\"0\",\"1\",\"2\",\"2\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"738\",\"0\",\"2\",\"740\",\"0\"],[\"246\",\"246\",\"294\",\"494\",\"21\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"1\",\"3\",\"0\",\"1\",\"2\",\"1\",\"2\",\"0\",\"2\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"825\",\"0\",\"3\",\"828\",\"0\"],[\"247\",\"247\",\"374\",\"318\",\"6\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"2\",\"1\",\"2\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"708\",\"0\",\"3\",\"711\",\"0\"],[\"248\",\"248\",\"264\",\"536\",\"11\",\"0\",\"1\",\"0\",\"0\",\"2\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"1\",\"0\",\"0\",\"4\",\"0\",\"0\",\"0\",\"0\",\"0\",\"822\",\"0\",\"4\",\"826\",\"0\"]]}", "correct": false, "input_tokens": 1281, "output_tokens": 834, "elapsed_seconds": 8.273714125039987, "metadata": {"question": "{\"question\": \"Extract the election-results table from this image. Return only a valid JSON object with this structure:\\n\\n{\\n \\\"columns\\\": [],\\n \\\"rows\\\": []\\n}\\n\\nReturn every leaf column left-to-right, including row identifiers, candidate names and summary columns. Join multi-line column headings with spaces; omit shared spanning headings. Use null for a leaf column without its own heading; do not invent or duplicate a spanning heading. Return rows as arrays of cells aligned with columns, top-to-bottom, including any printed total rows. Preserve zeros, identifiers and printed symbols; use null for blank or unreadable cells, never 0. Do not calculate totals or fill values from neighboring cells. Each row must contain exactly one cell per column.\\n\\nPreserve text as printed or handwritten, joining line breaks within a field with spaces. Do not infer missing information or translate. Include every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "5a920086d972fa99d030e924d98c27c7231d1252b8d846a453901c78373255cf", "category": "structured", "subset": "632de14cb0143303", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "12e800a4f1bc279a642579a93e407f1a636b74a40199cd8ab85f4af6e8b5eed6", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the election-results table from this image. Return only a valid JSON object with this structure:\n\n{\n \"columns\": [],\n \"rows\": []\n}\n\nReturn every leaf column left-to-right, including row identifiers, candidate names and summary columns. Join multi-line column headings with spaces; omit shared spanning headings. Use null for a leaf column without its own heading; do not invent or duplicate a spanning heading. Return rows as arrays of cells aligned with columns, top-to-bottom, including any printed total rows. Preserve zeros, identifiers and printed symbols; use null for blank or unreadable cells, never 0. Do not calculate totals or fill values from neighboring cells. Each row must contain exactly one cell per column.\n\nPreserve text as printed or handwritten, joining line breaks within a field with spaces. Do not infer missing information or translate. Include every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 0.9966, "status": "ok", "format_compliant": true, "matched_fields": 296, "reference_fields": 297, "predicted_fields": 297, "non_null_field_accuracy": 1.0, "object_exact_match": false, "attempts": 1, "retries": 0, "total_seconds": 8.3322}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 543, "image": "image_8f0e816d2938e480d8eacd5c_jpg.rf.196696778d53e7318409bcd7614c59ee.jpg", "expected": "37", "predicted": "37", "correct": true, "input_tokens": 1152, "output_tokens": 6, "elapsed_seconds": 2.604398582945578, "metadata": {"question": "{\"question\": \"Read the house number on the address plate in this image. Return only the number, including any letters, hyphens, or slashes. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "c4ccfd01604c57bed50fc3aec5529733d42a14813cf047f590e9007a5eddd5a8", "category": "single_string", "subset": "4788f963011764ba", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "0581bb4586f5fa6aaaa2f56c70e1f0a0789ec9e21a4613548b2f5f8bec1fa5db", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the house number on the address plate in this image. Return only the number, including any letters, hyphens, or slashes. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 2.6411}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 544, "image": "image_ca5eaab8c7bb412863c5cafd_jpg.rf.8fb2470c7dcdefe2436c4a742e1b0cf8.jpg", "expected": "241013", "predicted": "241013", "correct": true, "input_tokens": 1148, "output_tokens": 10, "elapsed_seconds": 2.622725582914427, "metadata": {"question": "{\"question\": \"Read the six-digit code engraved on the metal surface. Return only the code as a string of digits, preserving leading zeros. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "23f0e060d977baeb7aa1d2ea0338bf78fe9b1935068f86d9f37fe2d6e51b4341", "category": "single_string", "subset": "f2a87f15a0d3eb96", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "f5147488fd196afc0b1bcb4c23d3248b830ed451a3fea40b14d13d620e5935d9", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the six-digit code engraved on the metal surface. Return only the code as a string of digits, preserving leading zeros. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 2.6366}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 545, "image": "image_46e2dd581c5b60f2987980fc_jpg.rf.e3dfd98bdb1068e010f21dbdc3753911.jpg", "expected": "[{\"bbox\":[161,91,241,103],\"text\":\"PosterJam\"},{\"bbox\":[392,91,471,105],\"text\":\"Challenge\"},{\"bbox\":[237,345,318,368],\"text\":\"great\"},{\"bbox\":[237,370,332,395],\"text\":\"shape!\"},{\"bbox\":[161,539,269,551],\"text\":\"Studio Fluid\"},{\"bbox\":[401,539,470,551],\"text\":\"November\"}]", "predicted": "[{\"box_2d\": [141, 250, 160, 376], \"text\": \"PosterJam\"}, {\"box_2d\": [141, 611, 165, 735], \"text\": \"Challenge\"}, {\"box_2d\": [535, 369, 574, 497], \"text\": \"great\"}, {\"box_2d\": [575, 369, 616, 519], \"text\": \"shape!\"}, {\"box_2d\": [841, 250, 860, 419], \"text\": \"Studio Fluid\"}, {\"box_2d\": [841, 624, 860, 735], \"text\": \"November\"}]", "correct": true, "input_tokens": 1327, "output_tokens": 199, "elapsed_seconds": 4.445239083026536, "metadata": {"question": "{\"question\": \"Locate and transcribe visible text on the poster.\", \"specification\": \"Use one box per text line; keep separate words or letter groups on strongly curved paths in separate boxes. Include rotated text. Exclude decorative shapes, photographs and non-text graphics. Return plain text, not LaTeX.\\n\\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\", \"task\": \"localization_recognition\"}", "sample_id": "592322065beb8f0df61542e829103a2b59b2ae876fd98d84062209cad2628327", "category": "localization_recognition", "subset": "a0ebbce28fa5095a", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "9ee747f3c8a0ae8519d1bc3bc29f0aba29c0106c8c6cd19abda0d1670714ac23", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe visible text on the poster.\n\nUse one box per text line; keep separate words or letter groups on strongly curved paths in separate boxes. Include rotated text. Exclude decorative shapes, photographs and non-text graphics. Return plain text, not LaTeX.\n\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 1.0, "status": "ok", "format_compliant": true, "detection_f1": 1.0, "matched_regions": 6, "reference_regions": 6, "predicted_regions": 6, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 4.4616}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 546, "image": "image_7b171f6ece883d2156c55660_png_jpg.rf.7326c75148e3829938317b50a7473831.jpg", "expected": "{\"columns\":[null,null,\"UDIT RAJ\",\"YOGENDER CHANDOLIYA\",\"VIJAY BAUDDH\",\"K M KAJAL\",\"ADV. KRUPAL\",\"KHILKHILAKAR\",\"NAND RAM BAGRI\",\"NARESH KUMAR\",\"POOJA (BHAGTANI)\",\"PRAVEEN GAUTAM\",\"PREETI\",\"ADVOCATE DR. MAHENDER SINGH CHURIYANA\",\"RAJENDER SOOD\",\"SHYAM BHARTEEY\",\"ADVOCATE SATISH CHANDRA\",\"SUBHASH\",\"SURESH KUMAR\",\"SANJAY KUMAR SIWAL\",\"ADITI\",\"CHANDER PAL SONI\",\"NARESH KUMAR\",\"PARMENDRA MANJHI\",\"PUSHPA NAGRA\",\"PRADEEP KUMAR\",\"SATYA PRAKASH UTTRAKHANDI\",\"HARI KISHAN (MECHANIC)\",\"Total of Valid Votes\",\"No. Of Rejected Votes\",\"Votes for NOTA\",\"Total\",\"No. Of Tendered Votes\"],\"rows\":[[\"61\",\"61\",\"154\",\"586\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"1\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"745\",\"0\",\"14\",\"759\",\"0\"],[\"62\",\"62\",\"145\",\"441\",\"5\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"592\",\"0\",\"6\",\"598\",\"0\"],[\"63\",\"63\",\"127\",\"527\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"659\",\"0\",\"12\",\"671\",\"0\"],[\"64\",\"64\",\"161\",\"543\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"709\",\"0\",\"9\",\"718\",\"0\"],[\"65\",\"65\",\"235\",\"469\",\"4\",\"1\",\"1\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"1\",\"1\",\"2\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"716\",\"0\",\"6\",\"722\",\"0\"],[\"66\",\"66\",\"124\",\"318\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"444\",\"0\",\"8\",\"452\",\"0\"],[\"67\",\"67\",\"231\",\"503\",\"1\",\"0\",\"1\",\"1\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"738\",\"0\",\"10\",\"748\",\"0\"],[\"68\",\"68\",\"164\",\"597\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"1\",\"2\",\"1\",\"0\",\"0\",\"0\",\"0\",\"767\",\"0\",\"11\",\"778\",\"0\"]]}", "predicted": "{\"columns\": [\"Serial No. Of Polling Station\", null, \"UDIT RAJ\", \"YOGENDER CHANDOLIYA\", \"VIJAY BAUDDH\", \"K M KAJAL\", \"ADV. KRUPAL\", \"KHILKHILAKAR\", \"NAND RAM BAGRI\", \"NARESH KUMAR\", \"POOJA (BHAGTANI)\", \"PRAVEEN GAUTAM\", \"PREETI\", \"ADVOCATE DR. MAHENDER SINGH CHURIYANA\", \"RAJENDER SOOD\", \"SHYAM BHARTEEY\", \"ADVOCATE SATISH CHANDRA\", \"SUBHASH\", \"SURESH KUMAR\", \"SANJAY KUMAR SIWAL\", \"ADITI\", \"CHANDER PAL SONI\", \"NARESH KUMAR\", \"PARMENDRA MANJHI\", \"PUSHPA NAGRA\", \"PRADEEP KUMAR\", \"SATYA PRAKASH UTTRAKHANDI\", \"HARI KISHAN (MECHANIC)\", \"Total of Valid Votes\", \"No. Of Rejected Votes\", \"Votes for NOTA\", \"Total\", \"No. Of Tendered Votes\"], \"rows\": [[\"61\", \"61\", \"154\", \"586\", \"0\", \"1\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"1\", \"1\", \"0\", \"0\", \"1\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"1\", \"0\", \"0\", \"0\", \"0\", \"745\", \"0\", \"14\", \"759\", \"0\"], [\"62\", \"62\", \"145\", \"441\", \"5\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"1\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"592\", \"0\", \"6\", \"598\", \"0\"], [\"63\", \"63\", \"127\", \"527\", \"1\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"1\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"1\", \"0\", \"0\", \"1\", \"1\", \"0\", \"0\", \"0\", \"0\", \"0\", \"659\", \"0\", \"12\", \"671\", \"0\"], [\"64\", \"64\", \"161\", \"543\", \"1\", \"0\", \"0\", \"0\", \"0\", \"1\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"1\", \"0\", \"1\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"1\", \"709\", \"0\", \"9\", \"718\", \"0\"], [\"65\", \"65\", \"235\", \"469\", \"4\", \"1\", \"1\", \"0\", \"1\", \"0\", \"0\", \"0\", \"0\", \"1\", \"0\", \"0\", \"0\", \"1\", \"1\", \"2\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"716\", \"0\", \"6\", \"722\", \"0\"], [\"66\", \"66\", \"124\", \"318\", \"1\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"1\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"444\", \"0\", \"8\", \"452\", \"0\"], [\"67\", \"67\", \"231\", \"503\", \"1\", \"0\", \"1\", \"1\", \"0\", \"0\", \"0\", \"1\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"738\", \"0\", \"10\", \"748\", \"0\"], [\"68\", \"68\", \"164\", \"597\", \"1\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"0\", \"1\", \"0\", \"0\", \"1\", \"2\", \"1\", \"0\", \"0\", \"0\", \"0\", \"767\", \"0\", \"11\", \"778\", \"0\"]]}", "correct": false, "input_tokens": 1270, "output_tokens": 1114, "elapsed_seconds": 9.291126500000246, "metadata": {"question": "{\"question\": \"Extract the election-results table from this image. Return only a valid JSON object with this structure:\\n\\n{\\n \\\"columns\\\": [],\\n \\\"rows\\\": []\\n}\\n\\nReturn every leaf column left-to-right, including row identifiers, candidate names and summary columns. Join multi-line column headings with spaces; omit shared spanning headings. Use null for a leaf column without its own heading; do not invent or duplicate a spanning heading. Return rows as arrays of cells aligned with columns, top-to-bottom, including any printed total rows. Preserve zeros, identifiers and printed symbols; use null for blank or unreadable cells, never 0. Do not calculate totals or fill values from neighboring cells. Each row must contain exactly one cell per column.\\n\\nPreserve text as printed or handwritten, joining line breaks within a field with spaces. Do not infer missing information or translate. Include every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "70c18cdb7280d3119ad00cf16212abca07ec6fd21da2f135409c6fbfcaa6ff32", "category": "structured", "subset": "632de14cb0143303", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "ded0613391f0d0099726a554a23c77c4b868a9df11a819098c56001bc8d0f997", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the election-results table from this image. Return only a valid JSON object with this structure:\n\n{\n \"columns\": [],\n \"rows\": []\n}\n\nReturn every leaf column left-to-right, including row identifiers, candidate names and summary columns. Join multi-line column headings with spaces; omit shared spanning headings. Use null for a leaf column without its own heading; do not invent or duplicate a spanning heading. Return rows as arrays of cells aligned with columns, top-to-bottom, including any printed total rows. Preserve zeros, identifiers and printed symbols; use null for blank or unreadable cells, never 0. Do not calculate totals or fill values from neighboring cells. Each row must contain exactly one cell per column.\n\nPreserve text as printed or handwritten, joining line breaks within a field with spaces. Do not infer missing information or translate. Include every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 0.9966, "status": "ok", "format_compliant": true, "matched_fields": 296, "reference_fields": 297, "predicted_fields": 297, "non_null_field_accuracy": 1.0, "object_exact_match": false, "attempts": 1, "retries": 0, "total_seconds": 9.3483}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 547, "image": "image_06641d76383b72f5a220dc49_jpg.rf.4af84c804afe06f29bfc66098f3a723d.jpg", "expected": "23", "predicted": "10", "correct": false, "input_tokens": 1146, "output_tokens": 6, "elapsed_seconds": 2.223437250009738, "metadata": {"question": "{\"question\": \"Read the basketball jersey number visible in this image. Return only the number as a string of digits. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "8b33d4d31c9b2a6121c1d8fe831357d8b694609edab1acfd8d60fa6784e840f4", "category": "single_string", "subset": "c88e91da6c946745", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "17d4b81c3319753febd3f33535668cf19e74ed38448e2d14ca29f148c3ea4f1d", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the basketball jersey number visible in this image. Return only the number as a string of digits. Do not explain.", "match_method": "single_string", "score": 0.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 2.2267}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 548, "image": "image_6818d92a5387c9a354cfac46_jpg.rf.3e3ff65d745c513b74a239c30ddd7ef0.jpg", "expected": "{\"application_id\":\"56781024\",\"application_date\":\"24032002\",\"product_type\":\"Home Equity\",\"tenure_months\":\"120\",\"loan_amount\":\"340060239\",\"applicant_name\":\"NANDA PAVAN KUMAR\",\"birth_date\":\"24032002\",\"current_address\":\"ABHILASHA PG FLAT NO 408 BELLANDUR 560103 BENGALURU\",\"current_city\":\"GUNTUR\",\"current_state\":\"ANDHRA PRADESH\",\"current_postal_code\":\"500027\",\"current_mobile\":\"9912423789\",\"pan_number\":\"LIIPL0555E7\"}", "predicted": "{\n \"application_id\": \"56781024\",\n \"application_date\": \"24032002\",\n \"product_type\": \"Home Equity\",\n \"tenure_months\": \"120\",\n \"loan_amount\": \"340060230\",\n \"applicant_name\": \"NANDA PAVAN KUMAR\",\n \"birth_date\": \"24032002\",\n \"current_address\": \"ABHILASHA PG FLAT NO 408 BELLANDUR 560103 BENGALURU\",\n \"current_city\": \"GUNTUR\",\n \"current_state\": \"ANDHRA PRADESH\",\n \"current_postal_code\": \"500027\",\n \"current_mobile\": \"9912423789\",\n \"pan_number\": \"LIIPL0555E7\"\n}", "correct": false, "input_tokens": 1432, "output_tokens": 227, "elapsed_seconds": 4.505296790972352, "metadata": {"question": "{\"question\": \"Extract the completed applicant and loan fields from this loan application. Return only a valid JSON object with this structure:\\n\\n{\\n \\\"application_id\\\": null,\\n \\\"application_date\\\": null,\\n \\\"product_type\\\": null,\\n \\\"tenure_months\\\": null,\\n \\\"loan_amount\\\": null,\\n \\\"applicant_name\\\": null,\\n \\\"birth_date\\\": null,\\n \\\"current_address\\\": null,\\n \\\"current_city\\\": null,\\n \\\"current_state\\\": null,\\n \\\"current_postal_code\\\": null,\\n \\\"current_mobile\\\": null,\\n \\\"pan_number\\\": null\\n}\\n\\nUse Application ID No., not Application Form No. Read the current address, not the permanent address. Remove spaces between character boxes in identifiers and numbers; retain word spaces in names and addresses. For product_type, copy the single checked option; use null if none or several are selected. Transcribe date-box contents as written without inventing separators, even if malformed. Keep leading zeros in numbers.\\n\\nPreserve spelling, capitalization and punctuation; join line breaks within a field with spaces. Do not infer, correct or translate. Ignore filler dashes in unused boxes. For current_address, include only Current Residence Address lines, excluding the separately labelled landmark, city, state and postal-code fields. Use strings for values and null for missing or unreadable fields. Include every key. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "19c8c7e8d7c2571be583c672f2dda2df0a3696c1bcc0bf79d4e1e629982189f4", "category": "structured", "subset": "320cb142e1839899", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "3143b3736b30b1812bd18a371753d7b94b157564acc0e866329b807ea269ebf8", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the completed applicant and loan fields from this loan application. Return only a valid JSON object with this structure:\n\n{\n \"application_id\": null,\n \"application_date\": null,\n \"product_type\": null,\n \"tenure_months\": null,\n \"loan_amount\": null,\n \"applicant_name\": null,\n \"birth_date\": null,\n \"current_address\": null,\n \"current_city\": null,\n \"current_state\": null,\n \"current_postal_code\": null,\n \"current_mobile\": null,\n \"pan_number\": null\n}\n\nUse Application ID No., not Application Form No. Read the current address, not the permanent address. Remove spaces between character boxes in identifiers and numbers; retain word spaces in names and addresses. For product_type, copy the single checked option; use null if none or several are selected. Transcribe date-box contents as written without inventing separators, even if malformed. Keep leading zeros in numbers.\n\nPreserve spelling, capitalization and punctuation; join line breaks within a field with spaces. Do not infer, correct or translate. Ignore filler dashes in unused boxes. For current_address, include only Current Residence Address lines, excluding the separately labelled landmark, city, state and postal-code fields. Use strings for values and null for missing or unreadable fields. Include every key. Do not include explanations or Markdown.", "match_method": "structured", "score": 0.9231, "status": "ok", "format_compliant": true, "matched_fields": 12, "reference_fields": 13, "predicted_fields": 13, "non_null_field_accuracy": 0.9230769230769231, "object_exact_match": false, "attempts": 1, "retries": 0, "total_seconds": 4.5565}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 549, "image": "image_92ef045c63a9d16d078fd932_jpg.rf.a83d9a1b3ae62744b4953af71ea69391.jpg", "expected": "{\"recipient_name\":\"\u5c71\u672c\u6d69\",\"recipient_furigana\":\"\u9234\u6728\u592a\u90ce\",\"recipient_address\":\"\u9752\u68ee\u770c\u6a2a\u6d5c\u5e02\u65ed\u533a\u5929\u795e\u5cf636\u4e01\u76ee15\u756a16\u53f7\u65e5\u6bd4\u8c37\u516c\u5712\u30b3\u30fc\u30c8646\",\"recipient_position\":\"\u904b\u8ee2\u58eb\",\"salary_payment_amount\":\"71202079\",\"income_after_salary_deduction\":\"99779875\",\"total_income_deductions\":\"23735348\",\"withholding_tax\":null,\"payer_name\":\"\u77f3\u5ddd\u82b1\u5b50\",\"payer_address\":\"\u7e04\u770c\u798f\u751f\u5e02\u897f\u6d45\u834916\u4e01\u76ee11\u756a20\u53f7\u30b3\u30fc\u30dd\u524d\u5f25\u516d412\",\"payer_phone\":\"48-2360-3795\"}", "predicted": "{\n \"recipient_name\": \"\u5c71\u672c\u6d69\",\n \"recipient_furigana\": \"\u9234\u6728\u592a\u90ce\",\n \"recipient_address\": \"\u9752\u68ee\u770c\u6a2a\u6d5c\u5e02\u65ed\u533a\u5929\u795e\u5cf636\u4e01\u76ee15\u756a16\u53f7\u65e5\u6bd4\u8c37\u516c\u5712\u30b3\u30fc\u30c8646\",\n \"recipient_position\": \"\u904b\u8ee2\u58eb\",\n \"salary_payment_amount\": \"71202079\",\n \"income_after_salary_deduction\": \"99779875\",\n \"total_income_deductions\": \"23735348\",\n \"withholding_tax\": null,\n \"payer_name\": \"\u77f3\u5ddd\u82b1\u5b50\",\n \"payer_address\": \"\u7e04\u770c\u798f\u751f\u5e02\u897f\u6d45\u834916\u4e01\u76ee11\u756a20\u53f7\u30b3\u30fc\u30dd\u524d\u5f25\u516d412\",\n \"payer_phone\": \"48-2360-3795\"\n}", "correct": true, "input_tokens": 1418, "output_tokens": 214, "elapsed_seconds": 5.28022566693835, "metadata": {"question": "{\"question\": \"Extract these fields from the Japanese salary withholding certificate. Return only a valid JSON object with this structure:\\n\\n{\\n \\\"recipient_name\\\": null,\\n \\\"recipient_furigana\\\": null,\\n \\\"recipient_address\\\": null,\\n \\\"recipient_position\\\": null,\\n \\\"salary_payment_amount\\\": null,\\n \\\"income_after_salary_deduction\\\": null,\\n \\\"total_income_deductions\\\": null,\\n \\\"withholding_tax\\\": null,\\n \\\"payer_name\\\": null,\\n \\\"payer_address\\\": null,\\n \\\"payer_phone\\\": null\\n}\\n\\nRecipient fields come from \u652f\u6255\u3092\u53d7\u3051\u308b\u8005; payer fields come from \u652f\u6255\u8005. Map amounts to \u652f\u6255\u91d1\u984d, \u7d66\u4e0e\u6240\u5f97\u63a7\u9664\u5f8c\u306e\u91d1\u984d, \u6240\u5f97\u63a7\u9664\u306e\u984d\u306e\u5408\u8a08\u984d and \u6e90\u6cc9\u5fb4\u53ce\u7a0e\u984d respectively. Join digits across adjacent boxes; omit printed currency/unit headings, preserving visible numeric separators. Copy furigana exactly even if it differs from the name; do not repair inconsistent entries.\\n\\nIgnore typographic spacing inside Japanese names, words and digit strings; join wrapped Japanese text without adding spaces. Use ASCII digits; preserve actual punctuation. Preserve other text as written. Do not infer missing information or translate. Use strings for extracted values and null for missing or unreadable fields. Include every key. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "eda97fc16f25602b5470f528e9eb73307dd7c20fb121991fc288d4cc1f0b0116", "category": "structured", "subset": "7536d2f054eb9bde", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "1f22dcc03f5ad2786ae80f0065978340c5b762b505ae0a129ead5c40d32ffe6e", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract these fields from the Japanese salary withholding certificate. Return only a valid JSON object with this structure:\n\n{\n \"recipient_name\": null,\n \"recipient_furigana\": null,\n \"recipient_address\": null,\n \"recipient_position\": null,\n \"salary_payment_amount\": null,\n \"income_after_salary_deduction\": null,\n \"total_income_deductions\": null,\n \"withholding_tax\": null,\n \"payer_name\": null,\n \"payer_address\": null,\n \"payer_phone\": null\n}\n\nRecipient fields come from \u652f\u6255\u3092\u53d7\u3051\u308b\u8005; payer fields come from \u652f\u6255\u8005. Map amounts to \u652f\u6255\u91d1\u984d, \u7d66\u4e0e\u6240\u5f97\u63a7\u9664\u5f8c\u306e\u91d1\u984d, \u6240\u5f97\u63a7\u9664\u306e\u984d\u306e\u5408\u8a08\u984d and \u6e90\u6cc9\u5fb4\u53ce\u7a0e\u984d respectively. Join digits across adjacent boxes; omit printed currency/unit headings, preserving visible numeric separators. Copy furigana exactly even if it differs from the name; do not repair inconsistent entries.\n\nIgnore typographic spacing inside Japanese names, words and digit strings; join wrapped Japanese text without adding spaces. Use ASCII digits; preserve actual punctuation. Preserve other text as written. Do not infer missing information or translate. Use strings for extracted values and null for missing or unreadable fields. Include every key. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 11, "reference_fields": 11, "predicted_fields": 11, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 5.4425}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 550, "image": "image_67a8a418cc68b301ce8957f8_jpg.rf.d801f66706ce4f9f28b592f108a3204f.jpg", "expected": "[{\"bbox\":[245,33,425,106],\"text\":\"INDIAN\"},{\"bbox\":[435,42,598,214],\"text\":\"CUISINE\"},{\"bbox\":[144,91,243,214],\"text\":\"EAST\"},{\"bbox\":[18,319,400,442],\"text\":\"SPICE\"},{\"bbox\":[417,323,733,445],\"text\":\"HUT\"}]", "predicted": "[{\"box_2d\": [59, 300, 177, 517], \"text\": \"INDIAN\"}, {\"box_2d\": [154, 187, 349, 297], \"text\": \"EAST\"}, {\"box_2d\": [83, 535, 354, 731], \"text\": \"CUISINE\"}, {\"box_2d\": [529, 20, 725, 484], \"text\": \"SPICE\"}, {\"box_2d\": [537, 512, 740, 895], \"text\": \"HUT\"}]", "correct": true, "input_tokens": 1296, "output_tokens": 165, "elapsed_seconds": 4.159889250062406, "metadata": {"question": "{\"question\": \"Locate and transcribe all text on the signs in this image.\", \"specification\": \"Use one box per word or standalone number, including curved words in a single box. Exclude text outside the signs and purely graphical symbols. Return plain text, not LaTeX.\\n\\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\", \"task\": \"localization_recognition\"}", "sample_id": "a6316dac1755ca4f19c5ea2a1b90556addf5c24152bc42d833663afb7eebb721", "category": "localization_recognition", "subset": "21363697af554f8e", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "e61f69a31b38125160252c7e4dc03a5a5731ec1fcb9fe155f17659824c3aef33", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe all text on the signs in this image.\n\nUse one box per word or standalone number, including curved words in a single box. Exclude text outside the signs and purely graphical symbols. Return plain text, not LaTeX.\n\nUse tight, axis-aligned boxes. Include rotated text. Preserve printed characters, capitalization and punctuation; do not infer missing characters or translate. Use null for visible but unreadable text. Return entries top-to-bottom, then left-to-right. If none are visible, return []. Return valid JSON without explanations or Markdown.\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 1.0, "status": "ok", "format_compliant": true, "detection_f1": 1.0, "matched_regions": 5, "reference_regions": 5, "predicted_regions": 5, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 4.181}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 551, "image": "image_9dc5b92758140a32d442b5c1_jpg.rf.3379a2b5317fc6f44f06db23a5a3fb17.jpg", "expected": "{\"heat_number\":\"A81278\",\"billet_id\":\"1041\"}", "predicted": "{\n \"heat_number\": \"A81278\",\n \"billet_id\": \"1041\"\n}", "correct": true, "input_tokens": 1241, "output_tokens": 36, "elapsed_seconds": 4.0639139170525596, "metadata": {"question": "{\"question\": \"Extract the information printed on the end of this metal billet. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"heat_number\\\": null,\\n \\\"billet_id\\\": null\\n}\\n\\nUse the letter-prefixed code for heat_number and the separate shorter numeric code for billet_id. Preserve leading zeros and omit spaces within codes.\\n\\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "9a003ac47745238e0edacd55f313515f99fb92ff6fc8ed525f3f6b2e70f5d3f0", "category": "structured", "subset": "84ce444ef86dc04d", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "a44b32dcc2ae01d5c44bd9baf88ef148a755dbc5ed1c334bf68668967b3f7eef", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on the end of this metal billet. Return only a valid JSON object with these fields:\n\n{\n \"heat_number\": null,\n \"billet_id\": null\n}\n\nUse the letter-prefixed code for heat_number and the separate shorter numeric code for billet_id. Preserve leading zeros and omit spaces within codes.\n\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 2, "reference_fields": 2, "predicted_fields": 2, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 4.1742}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 552, "image": "image_1498710b7fbcad63e918e548_jpg.rf.db8286edc2e5329a7e74f425681709bf.jpg", "expected": "0.178", "predicted": "0.178", "correct": true, "input_tokens": 1167, "output_tokens": 9, "elapsed_seconds": 3.9979854590492323, "metadata": {"question": "{\"question\": \"Read the weight shown on the digital scale in this image. Return only the numeric reading, preserving the decimal separator and any minus sign. Do not include units or explain.\", \"task\": \"single_string\"}", "sample_id": "6da354bea2a10e16dc48846f027bfffa8163b3b733c581da16f786bec388ff66", "category": "single_string", "subset": "2230d8632391d9a6", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "bbce4419beb62363914d5e20140671e3c5f736ecbbf81090415dde77d4fc4b37", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the weight shown on the digital scale in this image. Return only the numeric reading, preserving the decimal separator and any minus sign. Do not include units or explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 4.1017}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 553, "image": "image_c87ae7f578b946abf1033d9d_jpg.rf.f345dc75e8ab203cd673037c01c85ebd.jpg", "expected": "{\"title\":\"Hold Me Tight SEVEN CONVERSATIONS for a LIFETIME of LOVE\",\"author\":\"Dr. Sue Johnson\",\"publisher\":null}", "predicted": "{\n \"title\": \"Hold Me Tight SEVEN CONVERSATIONS for a LIFETIME of LOVE\",\n \"author\": \"Dr. Sue Johnson\",\n \"publisher\": null\n}", "correct": true, "input_tokens": 1301, "output_tokens": 44, "elapsed_seconds": 2.5997147500747815, "metadata": {"question": "{\"question\": \"Extract the information printed on this book cover. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"title\\\": null,\\n \\\"author\\\": null,\\n \\\"publisher\\\": null\\n}\\n\\nInclude the subtitle in title, but exclude series names, endorsements and promotional badges. Include only the book\u2019s authors in author, preserving their printed order and separators; exclude foreword or introduction contributors. Use visible publisher text only; do not identify a symbol-only logo.\\n\\nExclude edition/volume labels from title and editors from author. Join title and subtitle with a space; do not add punctuation.\\n\\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "fcdb00b9a4b35b952ab4501874af22c5efef8d8c9c268e36685637b6d532db77", "category": "structured", "subset": "3d7fadf0660f8706", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "00d9fc795f6d87b248cae220c2747d0dd4f8ca984cad236985d5edd811e8cc93", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on this book cover. Return only a valid JSON object with these fields:\n\n{\n \"title\": null,\n \"author\": null,\n \"publisher\": null\n}\n\nInclude the subtitle in title, but exclude series names, endorsements and promotional badges. Include only the book\u2019s authors in author, preserving their printed order and separators; exclude foreword or introduction contributors. Use visible publisher text only; do not identify a symbol-only logo.\n\nExclude edition/volume labels from title and editors from author. Join title and subtitle with a space; do not add punctuation.\n\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 3, "reference_fields": 3, "predicted_fields": 3, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 2.6129}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 554, "image": "image_af1e02ed3e9b94813cbed8d6_jpg.rf.fb9e441b7c594dbac12ec1ebf3f2f705.jpg", "expected": "0725", "predicted": "0725", "correct": true, "input_tokens": 1212, "output_tokens": 8, "elapsed_seconds": 2.8071746659697965, "metadata": {"question": "{\"question\": \"Read the main row of mechanical counter digits on this water meter from left to right, including both black and red digits. Preserve leading zeros. Return only the digits: do not include commas, decimal points, spaces, units, serial numbers, pointers or inset enlargements. For a rolling digit, use the digit whose center is closest to the center of its window; return null if the reading is cropped or any digit is ambiguous. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "9d32992aa987025913c7646e7cda633b2d0d0a0d3dec12f1eaf9c5eadd54ed53", "category": "single_string", "subset": "2fb4de8cc245dee5", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "9057d551c93fa22b07c539bd2ce3036a2dc5a9787246bd2b0f814ace7f9e6a7a", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the main row of mechanical counter digits on this water meter from left to right, including both black and red digits. Preserve leading zeros. Return only the digits: do not include commas, decimal points, spaces, units, serial numbers, pointers or inset enlargements. For a rolling digit, use the digit whose center is closest to the center of its window; return null if the reading is cropped or any digit is ambiguous. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 2.8485}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 555, "image": "image_c1ea565d5df6bcdc8b1de460_jpg.rf.6d986df0cfd4629de28d3f920204b7fe.jpg", "expected": "{\"carrier\":\"FedEx\",\"tracking_number\":\"788500423871\",\"sender_name\":\"Shipping Department Walmart.com (Drop Ship)\",\"sender_address\":\"7 Sunset Way Suites 150 Henderson NV 89014 US\",\"recipient_name\":\"Blandino Pasion\",\"recipient_address\":\"3566 Atlas St San Diego CA 92111 (US)\",\"shipping_service\":\"Home Delivery\",\"weight\":\"8.50 LB\"}", "predicted": "{\n \"carrier\": \"FedEx\",\n \"tracking_number\": \"788500423871\",\n \"sender_name\": \"Shipping Department Walmart.com (Drop Ship)\",\n \"sender_address\": \"7 Sunset Way Suites 150 Henderson NV 89014 US\",\n \"recipient_name\": \"Blandino Pasion\",\n \"recipient_address\": \"3566 Atlas St San Diego CA 92111 (US)\",\n \"shipping_service\": \"Home Delivery\",\n \"weight\": \"8.50 LB\"\n}", "correct": true, "input_tokens": 1366, "output_tokens": 143, "elapsed_seconds": 4.015714665991254, "metadata": {"question": "{\"question\": \"Extract the information printed on this shipping label. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"carrier\\\": null,\\n \\\"tracking_number\\\": null,\\n \\\"sender_name\\\": null,\\n \\\"sender_address\\\": null,\\n \\\"recipient_name\\\": null,\\n \\\"recipient_address\\\": null,\\n \\\"shipping_service\\\": null,\\n \\\"weight\\\": null\\n}\\n\\nIgnore accompanying paperwork. Keep company and department lines in names, not addresses; exclude phone numbers. Return tracking_number without spaces (e.g., \u201c7885 0040 8757\u201d \u2192 \u201c788500408757\u201d). Omit the carrier from shipping_service (e.g., \u201cFedEx Home Delivery\u201d \u2192 \u201cHome Delivery\u201d). Retain weight units and printed country information in addresses.\\n\\nPreserve all other text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "35aa2ad911adfa305d59f86c64a4d5e3f961e12fc1ba579baf4b4351c402c638", "category": "structured", "subset": "ccd97de2b96725a9", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "5b95cb3c696f284383b2f27dd84ade47589187c73937a0ccbbad06318f1b34e5", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on this shipping label. Return only a valid JSON object with these fields:\n\n{\n \"carrier\": null,\n \"tracking_number\": null,\n \"sender_name\": null,\n \"sender_address\": null,\n \"recipient_name\": null,\n \"recipient_address\": null,\n \"shipping_service\": null,\n \"weight\": null\n}\n\nIgnore accompanying paperwork. Keep company and department lines in names, not addresses; exclude phone numbers. Return tracking_number without spaces (e.g., \u201c7885 0040 8757\u201d \u2192 \u201c788500408757\u201d). Omit the carrier from shipping_service (e.g., \u201cFedEx Home Delivery\u201d \u2192 \u201cHome Delivery\u201d). Retain weight units and printed country information in addresses.\n\nPreserve all other text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 8, "reference_fields": 8, "predicted_fields": 8, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 4.0378}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 556, "image": "image_06216cb2fc241f5de50d5862_jpg.rf.2a1f13ac11ad49a301fde0bf0227fca8.jpg", "expected": "TN61S4947", "predicted": "null", "correct": false, "input_tokens": 1167, "output_tokens": 5, "elapsed_seconds": 2.6610430410364643, "metadata": {"question": "{\"question\": \"Read the registration number on the largest visible vehicle license plate. Return only the registration number, reading multiple lines from top to bottom, omitting spaces and preserving letters, digits, leading zeros and hyphens. Exclude country labels, vehicle branding and video overlays. Return null if the complete registration number is unreadable. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "1a1be57fbb40b59f654c8cfd8cae87cdd9c8130a28856a86872e39c84c0d89f9", "category": "single_string", "subset": "d883528f51470f78", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "cf68e1e89a1e41fc5b96a25ab0b6d4b0e5157b63c50292b57d6fbe0c8a79b3b0", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the registration number on the largest visible vehicle license plate. Return only the registration number, reading multiple lines from top to bottom, omitting spaces and preserving letters, digits, leading zeros and hyphens. Exclude country labels, vehicle branding and video overlays. Return null if the complete registration number is unreadable. Do not explain.", "match_method": "single_string", "score": 0.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 2.717}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 557, "image": "image_64c012a979cb6355e5114d7c_jpg.rf.ec8123845cbbdfe7a5847e9b63e4c98e.jpg", "expected": "02587", "predicted": "02581", "correct": false, "input_tokens": 1134, "output_tokens": 9, "elapsed_seconds": 2.764011208899319, "metadata": {"question": "{\"question\": \"Read the electricity meter reading shown on the LCD. Return only the reading, preserving leading zeros and any decimal point. Exclude the register code, units and serial number. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "3efb8cb760262db2ef0f4853f4bf5c6b20a449680b2f49fd1b78972c58e57cc1", "category": "single_string", "subset": "0749a0105d22d9d4", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "44376a1a2f799571e0acf92bd7621b443da0d26210d653180e8f81da6964d6bb", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the electricity meter reading shown on the LCD. Return only the reading, preserving leading zeros and any decimal point. Exclude the register code, units and serial number. Do not explain.", "match_method": "single_string", "score": 0.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 2.8154}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 558, "image": "image_695db97cc7af0c53d3bbf0bd_jpg.rf.12299e3066562d427504147627bad229.jpg", "expected": "[{\"bbox\":[293,438,348,475],\"text\":\"5,8\"},{\"bbox\":[644,611,739,658],\"text\":\"Lst.\"},{\"bbox\":[438,690,825,833],\"text\":\"Gnojau\"},{\"bbox\":[109,763,168,810],\"text\":\"5,8\"},{\"bbox\":[779,1107,844,1146],\"text\":\"5,8\"}]", "predicted": "[{\"box_2d\": [377, 273, 412, 320], \"text\": \"5,8\"}, {\"box_2d\": [535, 595, 574, 675], \"text\": \"Lst.\"}, {\"box_2d\": [666, 99, 706, 152], \"text\": \"5,8\"}, {\"box_2d\": [602, 405, 731, 745], \"text\": \"Gnojau\"}, {\"box_2d\": [967, 720, 1000, 775], \"text\": \"5,8\"}]", "correct": true, "input_tokens": 1332, "output_tokens": 172, "elapsed_seconds": 4.285906792036258, "metadata": {"question": "{\"question\": \"Locate and transcribe all visible map labels, abbreviations and numbers.\", \"specification\": \"Use one box per label line, keeping spaced-out letters of the same label together. Include rotated and curved labels; enclose each curved line in one box. Transcribe only visible characters at image edges. Preserve historical spelling, diacritics and punctuation; do not expand abbreviations or modernize names. Return plain text, not LaTeX.\\n\\nUse tight, axis-aligned boxes. Return entries top-to-bottom, then left-to-right. Use null for a visible region whose text cannot be read, and [] when none are present. Return no explanations or Markdown.\", \"task\": \"localization_recognition\"}", "sample_id": "5a64b476f900406004b1fdd3b99ca34aa36f027d07b018e638b3ba40cd448daf", "category": "localization_recognition", "subset": "60ba2e315b54c16e", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "736873e7953a368c3e8e38d8a996d21852ffd3edf7c70a7a42191dc3f1e0ba7f", "text_protocol": "mixed-text-v2", "scoring_profile": "localization_recognition", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Locate and transcribe all visible map labels, abbreviations and numbers.\n\nUse one box per label line, keeping spaced-out letters of the same label together. Include rotated and curved labels; enclose each curved line in one box. Transcribe only visible characters at image edges. Preserve historical spelling, diacritics and punctuation; do not expand abbreviations or modernize names. Return plain text, not LaTeX.\n\nUse tight, axis-aligned boxes. Return entries top-to-bottom, then left-to-right. Use null for a visible region whose text cannot be read, and [] when none are present. Return no explanations or Markdown.\n\nReturn only a valid JSON array with this structure:\n[{\"box_2d\": [y_min, x_min, y_max, x_max], \"text\": \"...\"}]\n\nUse coordinates normalized from 0 to 1000 relative to the image dimensions.\n\nUse exactly the keys shown. Use text, never label, for transcription. Do not include explanations or Markdown.", "match_method": "localization_recognition", "score": 1.0, "status": "ok", "format_compliant": true, "detection_f1": 1.0, "matched_regions": 5, "reference_regions": 5, "predicted_regions": 5, "invalid_regions": 0, "attempts": 1, "retries": 0, "total_seconds": 4.3582}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 559, "image": "image_a591c57e015f1e6ea16f4c92_jpg.rf.e36b142c1872adf95b43f33192c4759b.jpg", "expected": "{\"grading\":{\"year\":\"1999\",\"set_name\":\"POKEMON JUNGLE\",\"grade\":\"9.5\",\"certification_number\":\"1336410\"},\"card\":{\"name\":\"Venonat\",\"hp\":\"40\",\"evolves_from\":null,\"card_number\":\"63/64\",\"illustrator\":\"Mitsuhiro Arita\"}}", "predicted": "{\n \"grading\": {\n \"year\": \"1999\",\n \"set_name\": \"POKEMON JUNGLE\",\n \"grade\": \"9.5\",\n \"certification_number\": \"1336410\"\n },\n \"card\": {\n \"name\": \"Venonat\",\n \"hp\": \"40\",\n \"evolves_from\": null,\n \"card_number\": \"63/64\",\n \"illustrator\": \"Mitsuhiro Arita\"\n }\n}", "correct": true, "input_tokens": 1375, "output_tokens": 130, "elapsed_seconds": 6.223446500021964, "metadata": {"question": "{\"question\": \"Extract the information printed on this SGC-graded trading card and its holder. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"grading\\\": {\\n \\\"year\\\": null,\\n \\\"set_name\\\": null,\\n \\\"grade\\\": null,\\n \\\"certification_number\\\": null\\n },\\n \\\"card\\\": {\\n \\\"name\\\": null,\\n \\\"hp\\\": null,\\n \\\"evolves_from\\\": null,\\n \\\"card_number\\\": null,\\n \\\"illustrator\\\": null\\n }\\n}\\n\\nRead grading fields from the holder and card fields from the card. Return the numeric grade only (e.g., \u201c8.5 NM/MT+\u201d \u2192 \u201c8.5\u201d). Exclude gameplay suffixes and level indicators from Pok\u00e9mon names (e.g., \u201cLatias ex\u201d \u2192 \u201cLatias\u201d). Return HP as digits only (e.g., \u201c120 HP\u201d \u2192 \u201c120\u201d).\\n\\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "c7a6e8368677e402278ed78aeb1b3190a1d5da8c8fb10c949b6a08eb4ced41a6", "category": "structured", "subset": "6c56b14aa8dbe996", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "89b09b8dbc45f2e3d28e1e836c8726aad81099026840249a6613d288858a516f", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on this SGC-graded trading card and its holder. Return only a valid JSON object with these fields:\n\n{\n \"grading\": {\n \"year\": null,\n \"set_name\": null,\n \"grade\": null,\n \"certification_number\": null\n },\n \"card\": {\n \"name\": null,\n \"hp\": null,\n \"evolves_from\": null,\n \"card_number\": null,\n \"illustrator\": null\n }\n}\n\nRead grading fields from the holder and card fields from the card. Return the numeric grade only (e.g., \u201c8.5 NM/MT+\u201d \u2192 \u201c8.5\u201d). Exclude gameplay suffixes and level indicators from Pok\u00e9mon names (e.g., \u201cLatias ex\u201d \u2192 \u201cLatias\u201d). Return HP as digits only (e.g., \u201c120 HP\u201d \u2192 \u201c120\u201d).\n\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 9, "reference_fields": 9, "predicted_fields": 9, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 6.3091}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 560, "image": "image_d1e709abe6d29c3d6c9c1af0_jpg.rf.873f401790088c14c1558d0f30477808.jpg", "expected": "26", "predicted": "16", "correct": false, "input_tokens": 1146, "output_tokens": 6, "elapsed_seconds": 2.651300083962269, "metadata": {"question": "{\"question\": \"Read the basketball jersey number visible in this image. Return only the number as a string of digits. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "ac0b1d17f27bf91fef64b269ac5355e86f2e2cbb25a249ee189a53efc278fcff", "category": "single_string", "subset": "c88e91da6c946745", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "c5fbfe004dbd4985c40d4640a453a15fb6bfc594d98b082a61a140f324a8f831", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the basketball jersey number visible in this image. Return only the number as a string of digits. Do not explain.", "match_method": "single_string", "score": 0.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 2.6568}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 561, "image": "image_6c28736214a87fae3a4bcb63_jpg.rf.5d3c9a28ce8cbd03c3f5bcf399d3b63a.jpg", "expected": "1218890", "predicted": "1218890", "correct": true, "input_tokens": 1180, "output_tokens": 11, "elapsed_seconds": 3.29696775006596, "metadata": {"question": "{\"question\": \"Read the identification code on the utility pole tag. Return only the code, joining vertically stacked characters without spaces and preserving leading zeros and hyphens. Exclude labels such as POLE NO., timestamps and GPS/address overlays. Do not explain.\", \"task\": \"single_string\"}", "sample_id": "11df2c6800c07abb0ec0d68c34d7dad5788855670ba03cf44cc1eaafe520aebc", "category": "single_string", "subset": "cd97317d8ff518ba", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "2383cc363657bfd0d893c0457a62b372b11b2dc45de921029f46ad33c866b023", "text_protocol": "mixed-text-v2", "scoring_profile": "single_string", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Read the identification code on the utility pole tag. Return only the code, joining vertically stacked characters without spaces and preserving leading zeros and hyphens. Exclude labels such as POLE NO., timestamps and GPS/address overlays. Do not explain.", "match_method": "single_string", "score": 1.0, "status": "ok", "format_compliant": true, "attempts": 1, "retries": 0, "total_seconds": 3.3728}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 562, "image": "image_06f7e68145e4f357356462e0_jpg.rf.ef65f93dd2655e2d2664493fa387d042.jpg", "expected": "{\"brand\":\"Electrolux\",\"model_number\":\"EKC7151\",\"product_number\":\"9485719-06\",\"serial_number\":\"40501409\",\"voltage\":\"400 V\",\"frequency\":\"50 Hz\",\"refrigerant\":null,\"country_of_manufacture\":\"Sweden\"}", "predicted": "{\n \"brand\": \"Electrolux\",\n \"model_number\": \"EKC7151\",\n \"product_number\": \"9485719-06\",\n \"serial_number\": \"40501409\",\n \"voltage\": \"400 V\",\n \"frequency\": \"50 Hz\",\n \"refrigerant\": null,\n \"country_of_manufacture\": \"Sweden\"\n}", "correct": true, "input_tokens": 1416, "output_tokens": 109, "elapsed_seconds": 3.260527041973546, "metadata": {"question": "{\"question\": \"Extract the information printed on this appliance identification label. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"brand\\\": null,\\n \\\"model_number\\\": null,\\n \\\"product_number\\\": null,\\n \\\"serial_number\\\": null,\\n \\\"voltage\\\": null,\\n \\\"frequency\\\": null,\\n \\\"refrigerant\\\": null,\\n \\\"country_of_manufacture\\\": null\\n}\\n\\nUse Model/MOD., Product/PROD.NO. and Serial/SER.NO. for their respective identifiers. Remove spaces within identifiers but retain hyphens and leading zeros. Use Type only if explicitly labeled as the model. Retain units for voltage and frequency; exclude refrigerant charge from refrigerant (e.g., \u201cR600a 40g\u201d \u2192 \u201cR600a\u201d). Use only an explicit Made in statement for country_of_manufacture.\\n\\nFormat voltage and frequency as the printed number or range followed by one space and V or Hz; use - for ranges and omit AC/~ symbols. Remove spaces from refrigerant codes (e.g., \u2018R 600a 34 g\u2019 \u2192 \u2018R600a\u2019). Preserve country capitalization.\\n\\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "c297ac0e259de65b105f52c1826f15e0eff2835fab75b026bab24bbf7cd33ba2", "category": "structured", "subset": "4890639a29ac37cd", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "fe9642bc3dfaffd6440bb4b6b68686c598fe44af4f17b291d98622aad3a15a99", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on this appliance identification label. Return only a valid JSON object with these fields:\n\n{\n \"brand\": null,\n \"model_number\": null,\n \"product_number\": null,\n \"serial_number\": null,\n \"voltage\": null,\n \"frequency\": null,\n \"refrigerant\": null,\n \"country_of_manufacture\": null\n}\n\nUse Model/MOD., Product/PROD.NO. and Serial/SER.NO. for their respective identifiers. Remove spaces within identifiers but retain hyphens and leading zeros. Use Type only if explicitly labeled as the model. Retain units for voltage and frequency; exclude refrigerant charge from refrigerant (e.g., \u201cR600a 40g\u201d \u2192 \u201cR600a\u201d). Use only an explicit Made in statement for country_of_manufacture.\n\nFormat voltage and frequency as the printed number or range followed by one space and V or Hz; use - for ranges and omit AC/~ symbols. Remove spaces from refrigerant codes (e.g., \u2018R 600a 34 g\u2019 \u2192 \u2018R600a\u2019). Preserve country capitalization.\n\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nInclude every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 8, "reference_fields": 8, "predicted_fields": 8, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 3.2687}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 563, "image": "image_140df6e480a011b6a5388342_png_jpg.rf.882525fecbb73489036e78c4fa12c98c.jpg", "expected": "{\"columns\":[null,null,\"UDIT RAJ\",\"YOGENDER CHANDOLIYA\",\"VIJAY BAUDDH\",\"K M KAJAL\",\"ADV. KRUPAL\",\"KHILKHILAKAR\",\"NAND RAM BAGRI\",\"NARESH KUMAR\",\"POOJA (BHAGTANI)\",\"PRAVEEN GAUTAM\",\"PREETI\",\"ADVOCATE DR. MAHENDER SINGH CHURIYANA\",\"RAJENDER SOOD\",\"SHYAM BHARTEEY\",\"ADVOCATE SATISH CHANDRA\",\"SUBHASH\",\"SURESH KUMAR\",\"SANJAY KUMAR SIWAL\",\"ADITI\",\"CHANDER PAL SONI\",\"NARESH KUMAR\",\"PARMENDRA MANJHI\",\"PUSHPA NAGRA\",\"PRADEEP KUMAR\",\"SATYA PRAKASH UTTRAKHANDI\",\"HARI KISHAN (MECHANIC)\",\"Total of Valid Votes\",\"No. Of Rejected Votes\",\"Votes for NOTA\",\"Total\",\"No. Of Tendered Votes\"],\"rows\":[[\"181\",\"180\",\"270\",\"410\",\"9\",\"1\",\"0\",\"0\",\"1\",\"1\",\"0\",\"0\",\"0\",\"2\",\"1\",\"0\",\"0\",\"1\",\"0\",\"2\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"700\",\"0\",\"5\",\"705\",\"0\"],[\"182\",\"181\",\"187\",\"302\",\"6\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"2\",\"0\",\"0\",\"1\",\"0\",\"3\",\"2\",\"2\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"505\",\"0\",\"5\",\"510\",\"0\"],[\"183\",\"182\",\"200\",\"377\",\"4\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"1\",\"1\",\"1\",\"3\",\"2\",\"0\",\"0\",\"0\",\"2\",\"0\",\"0\",\"0\",\"1\",\"0\",\"595\",\"0\",\"2\",\"597\",\"0\"],[\"184\",\"183\",\"188\",\"322\",\"9\",\"2\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"1\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"525\",\"0\",\"3\",\"528\",\"0\"],[\"185\",\"184\",\"180\",\"324\",\"3\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"2\",\"0\",\"2\",\"0\",\"0\",\"1\",\"0\",\"1\",\"2\",\"2\",\"0\",\"1\",\"0\",\"1\",\"521\",\"0\",\"1\",\"522\",\"0\"],[\"186\",\"185\",\"317\",\"447\",\"10\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"2\",\"0\",\"2\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"1\",\"0\",\"0\",\"1\",\"0\",\"2\",\"0\",\"785\",\"0\",\"2\",\"787\",\"0\"],[\"187\",\"186\",\"492\",\"323\",\"6\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"1\",\"0\",\"0\",\"3\",\"1\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"1\",\"1\",\"831\",\"0\",\"6\",\"837\",\"0\"],[\"188\",\"187\",\"471\",\"294\",\"3\",\"0\",\"1\",\"0\",\"0\",\"1\",\"0\",\"2\",\"0\",\"1\",\"0\",\"1\",\"1\",\"2\",\"3\",\"3\",\"0\",\"0\",\"1\",\"2\",\"0\",\"0\",\"1\",\"0\",\"787\",\"0\",\"2\",\"789\",\"0\"]]}", "predicted": "{\"columns\":[null,\"Serial No. Of Polling Station\",\"UDIT RAJ\",\"YOGENDER CHANDOLIYA\",\"VIJAY BAUDDH\",\"K M KAJAL\",\"ADV. KRUPAL\",\"KHILKHILAKAR\",\"NAND RAM BAGRI\",\"NARESH KUMAR\",\"POOJA (BHAGTANI)\",\"PRAVEEN GAUTAM\",\"PREETI\",\"ADVOCATE DR. MAHENDER SINGH CHURIYANA\",\"RAJENDER SOOD\",\"SHYAM BHARTEEY\",\"ADVOCATE SATISH CHANDRA\",\"SUBHASH\",\"SURESH KUMAR\",\"SANJAY KUMAR SIWAL\",\"ADITI\",\"CHANDER PAL SONI\",\"NARESH KUMAR\",\"PARMENDRA MANJHI\",\"PUSHPA NAGRA\",\"PRADEEP KUMAR\",\"SATYA PRAKASH UTTRAKHANDI\",\"HARI KISHAN (MECHANIC)\",\"Total of Valid Votes\",\"No. Of Rejected Votes\",\"Votes for NOTA\",\"Total\",\"No. Of Tendered Votes\"],\"rows\":[[\"181\",\"180\",\"270\",\"410\",\"9\",\"1\",\"0\",\"0\",\"1\",\"1\",\"0\",\"0\",\"0\",\"2\",\"1\",\"0\",\"0\",\"1\",\"0\",\"2\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"700\",\"0\",\"5\",\"705\",\"0\"],[\"182\",\"181\",\"187\",\"302\",\"6\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"2\",\"0\",\"0\",\"1\",\"0\",\"3\",\"2\",\"2\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"505\",\"0\",\"5\",\"510\",\"0\"],[\"183\",\"182\",\"200\",\"377\",\"4\",\"1\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"1\",\"1\",\"1\",\"3\",\"2\",\"0\",\"0\",\"0\",\"2\",\"0\",\"0\",\"0\",\"1\",\"0\",\"595\",\"0\",\"2\",\"597\",\"0\"],[\"184\",\"183\",\"188\",\"322\",\"9\",\"2\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"1\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"525\",\"0\",\"3\",\"528\",\"0\"],[\"185\",\"184\",\"180\",\"324\",\"3\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"2\",\"0\",\"2\",\"0\",\"0\",\"1\",\"0\",\"1\",\"2\",\"2\",\"0\",\"1\",\"0\",\"1\",\"521\",\"0\",\"1\",\"522\",\"0\"],[\"186\",\"185\",\"317\",\"447\",\"10\",\"1\",\"0\",\"0\",\"0\",\"0\",\"1\",\"2\",\"0\",\"2\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"1\",\"0\",\"0\",\"1\",\"0\",\"2\",\"0\",\"785\",\"0\",\"2\",\"787\",\"0\"],[\"187\",\"186\",\"492\",\"323\",\"6\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"0\",\"0\",\"0\",\"1\",\"1\",\"0\",\"0\",\"3\",\"1\",\"0\",\"0\",\"0\",\"1\",\"0\",\"0\",\"1\",\"1\",\"831\",\"0\",\"6\",\"837\",\"0\"],[\"188\",\"187\",\"471\",\"294\",\"3\",\"0\",\"1\",\"0\",\"0\",\"1\",\"0\",\"2\",\"0\",\"1\",\"0\",\"1\",\"1\",\"2\",\"3\",\"3\",\"0\",\"0\",\"1\",\"2\",\"0\",\"0\",\"1\",\"0\",\"787\",\"0\",\"2\",\"789\",\"0\"]]}", "correct": false, "input_tokens": 1281, "output_tokens": 831, "elapsed_seconds": 12.435342832934111, "metadata": {"question": "{\"question\": \"Extract the election-results table from this image. Return only a valid JSON object with this structure:\\n\\n{\\n \\\"columns\\\": [],\\n \\\"rows\\\": []\\n}\\n\\nReturn every leaf column left-to-right, including row identifiers, candidate names and summary columns. Join multi-line column headings with spaces; omit shared spanning headings. Use null for a leaf column without its own heading; do not invent or duplicate a spanning heading. Return rows as arrays of cells aligned with columns, top-to-bottom, including any printed total rows. Preserve zeros, identifiers and printed symbols; use null for blank or unreadable cells, never 0. Do not calculate totals or fill values from neighboring cells. Each row must contain exactly one cell per column.\\n\\nPreserve text as printed or handwritten, joining line breaks within a field with spaces. Do not infer missing information or translate. Include every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "c3ab275813d482d1000ec12f7f187d2fdaea5f45166b54420c3ecafc83ff8f0b", "category": "structured", "subset": "632de14cb0143303", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "144476bc36d203ab258a7ee46f98a6a0d3ce4014acb5080386e1cb49d79e2b6a", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the election-results table from this image. Return only a valid JSON object with this structure:\n\n{\n \"columns\": [],\n \"rows\": []\n}\n\nReturn every leaf column left-to-right, including row identifiers, candidate names and summary columns. Join multi-line column headings with spaces; omit shared spanning headings. Use null for a leaf column without its own heading; do not invent or duplicate a spanning heading. Return rows as arrays of cells aligned with columns, top-to-bottom, including any printed total rows. Preserve zeros, identifiers and printed symbols; use null for blank or unreadable cells, never 0. Do not calculate totals or fill values from neighboring cells. Each row must contain exactly one cell per column.\n\nPreserve text as printed or handwritten, joining line breaks within a field with spaces. Do not infer missing information or translate. Include every key. Use strings for extracted values and null for missing or unreadable fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 0.9966, "status": "ok", "format_compliant": true, "matched_fields": 296, "reference_fields": 297, "predicted_fields": 297, "non_null_field_accuracy": 1.0, "object_exact_match": false, "attempts": 1, "retries": 0, "total_seconds": 12.4946}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 564, "image": "image_b7396824c12958f66e8b563a_jpg.rf.9cb03b825c6535ea034b99735a1ae785.jpg", "expected": "{\"grading\":{\"year\":\"2016\",\"set_name\":\"POKEMON EVOLUTIONS\",\"grade\":\"10\",\"certification_number\":\"0767613\"},\"card\":{\"name\":\"Mewtwo\",\"hp\":\"180\",\"evolves_from\":null,\"card_number\":\"103/108\",\"illustrator\":\"Ryo Ueda\"}}", "predicted": "{\n \"grading\": {\n \"year\": \"2016\",\n \"set_name\": \"POKEMON EVOLUTIONS\",\n \"grade\": \"10\",\n \"certification_number\": \"0767613\"\n },\n \"card\": {\n \"name\": \"Mewtwo\",\n \"hp\": \"180\",\n \"evolves_from\": null,\n \"card_number\": \"103/108\",\n \"illustrator\": \"Ryo Ueda\"\n }\n}", "correct": true, "input_tokens": 1375, "output_tokens": 133, "elapsed_seconds": 4.255405916948803, "metadata": {"question": "{\"question\": \"Extract the information printed on this SGC-graded trading card and its holder. Return only a valid JSON object with these fields:\\n\\n{\\n \\\"grading\\\": {\\n \\\"year\\\": null,\\n \\\"set_name\\\": null,\\n \\\"grade\\\": null,\\n \\\"certification_number\\\": null\\n },\\n \\\"card\\\": {\\n \\\"name\\\": null,\\n \\\"hp\\\": null,\\n \\\"evolves_from\\\": null,\\n \\\"card_number\\\": null,\\n \\\"illustrator\\\": null\\n }\\n}\\n\\nRead grading fields from the holder and card fields from the card. Return the numeric grade only (e.g., \u201c8.5 NM/MT+\u201d \u2192 \u201c8.5\u201d). Exclude gameplay suffixes and level indicators from Pok\u00e9mon names (e.g., \u201cLatias ex\u201d \u2192 \u201cLatias\u201d). Return HP as digits only (e.g., \u201c120 HP\u201d \u2192 \u201c120\u201d).\\n\\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\\n\\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.\", \"task\": \"structured\"}", "sample_id": "06162ad49993c1ad4650c5ab954e4dade0042e43553649049ce1ddd2971e6640", "category": "structured", "subset": "6c56b14aa8dbe996", "dataset_hash": "6a6cbeadcbf0966327cc19aacd165e9b6335d0cf4ee3584f3e0cc18e400141c7", "dataset_pairs": 600, "image_sha256": "3d7c8e34f4a711b81a35b3a998d8e03627977fef326947f377959e4ff3643a2d", "text_protocol": "mixed-text-v2", "scoring_profile": "structured", "coordinate_format": "yxyx_normalized_0_to_1000", "inference_hash": "597307dfa2a95aa7584ef557fceec459e0ae8ea20be2760430675a120f7a2391", "resolved_prompt": "Extract the information printed on this SGC-graded trading card and its holder. Return only a valid JSON object with these fields:\n\n{\n \"grading\": {\n \"year\": null,\n \"set_name\": null,\n \"grade\": null,\n \"certification_number\": null\n },\n \"card\": {\n \"name\": null,\n \"hp\": null,\n \"evolves_from\": null,\n \"card_number\": null,\n \"illustrator\": null\n }\n}\n\nRead grading fields from the holder and card fields from the card. Return the numeric grade only (e.g., \u201c8.5 NM/MT+\u201d \u2192 \u201c8.5\u201d). Exclude gameplay suffixes and level indicators from Pok\u00e9mon names (e.g., \u201cLatias ex\u201d \u2192 \u201cLatias\u201d). Return HP as digits only (e.g., \u201c120 HP\u201d \u2192 \u201c120\u201d).\n\nPreserve the remaining text as printed. Join line breaks within a field with spaces. Do not infer missing information or translate the text.\n\nUse strings for extracted values and null for missing fields. Do not include explanations or Markdown.", "match_method": "structured", "score": 1.0, "status": "ok", "format_compliant": true, "matched_fields": 9, "reference_fields": 9, "predicted_fields": 9, "non_null_field_accuracy": 1.0, "object_exact_match": true, "attempts": 1, "retries": 0, "total_seconds": 4.3383}} +{"model": "gemini-4-argon", "effort": "low", "task": "text", "timestamp": "20261012_232137", "index": 565, "image": "image_a271ebaa09a46cfc746d6957_jpg.rf.727ebb32f3b3396be66b7fde452e9416.jpg", "expected": "P None: "mimo-v2.6-pro", "mimo-v2.6-flash", "mistral-large-4", - "gemini-4-argon-eap", + "gemini-4-argon", ] diff --git a/visualizations/leaderboards/text_localization_recognition_high.png b/visualizations/leaderboards/text_localization_recognition_high.png index 387c5b27ede81678537b94b2ae76b71d0047eebe..1ffc16ba9b33444c0b27283d590c0736ca1422cd 100644 GIT binary patch literal 759298 zcmeFZXH*ky*9MBBARvN*@&E!-1Q97plM;HDrl3d{=^d$3Bhp2hNGJ5(O9-7Ph=8Gm 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